xszheng2020/the_stack_dedup_python_hits_7 · Datasets at Hugging Face

9ea4c6c4578a83085f65776e18b173f05c84e8b2

16,305

py

Python

measure_mate/tests/api/test_measurement.py

niche-tester/measure-mate

c3acba57747bcb89fe0c6b9509ec90f04a581506

[ "MIT" ]

15

2015-12-14T02:20:31.000Z

2022-01-30T04:36:39.000Z

measure_mate/tests/api/test_measurement.py

rloomans/measure-mate

e89f9c8e1faa1920496f1c997f6d87ec0f9bd7c2

[ "MIT" ]

1,403

2017-02-16T01:00:04.000Z

2022-03-15T21:12:13.000Z

measure_mate/tests/api/test_measurement.py

rloomans/measure-mate

e89f9c8e1faa1920496f1c997f6d87ec0f9bd7c2

[ "MIT" ]

10

2015-12-18T01:30:46.000Z

2022-01-30T04:36:41.000Z

from django.contrib.auth.models import User from django.urls import reverse from rest_framework import status from rest_framework.test import APITestCase from measure_mate.models import Measurement from measure_mate.tests.factories import TemplateFactory, AttributeFactory, RatingFactory, AssessmentFactory, \ MeasurementFactory class MeasurementAPITestCases(APITestCase): def test_search_measurement(self): """ Should return one measurement that matches the rating, assessment combo. One measurement relates to a rating that is not in the scope of the search. """ template = TemplateFactory() attribute1 = AttributeFactory(template=template) attribute2 = AttributeFactory(template=template) rating_in_scope = RatingFactory(attribute=attribute1) rating_out_of_scope = RatingFactory(attribute=attribute2) assessment = AssessmentFactory(template=template) measurement1 = MeasurementFactory(assessment=assessment, attribute=attribute1, rating=rating_in_scope) measurement2 = MeasurementFactory(assessment=assessment, attribute=attribute2, rating=rating_out_of_scope) url = "%s?assessment__id=%d&attribute__id=%d" % (reverse('measurement-list'), assessment.id, attribute1.id) response = self.client.get(url) self.assertEqual(response.status_code, status.HTTP_200_OK) self.assertEqual(response.data[0]['id'], measurement1.id) self.assertEqual(response.data[0]['rating'], rating_in_scope.id) self.assertEqual(len(response.data), 1) def test_search_measurement2(self): """ Should return zero measurements as the api search is for a different assessment """ template = TemplateFactory() attribute = AttributeFactory(template=template) rating_in_scope1 = RatingFactory(attribute=attribute) rating_in_scope2 = RatingFactory(attribute=attribute) assessment1 = AssessmentFactory(template=template) assessment2 = AssessmentFactory(template=template) assessment3 = AssessmentFactory() measurement1 = MeasurementFactory(assessment=assessment1, attribute=attribute, rating=rating_in_scope1) measurement2 = MeasurementFactory(assessment=assessment2, attribute=attribute, rating=rating_in_scope2) url = "%s?assessment__id=%s&rating__attribute=%s" % (reverse('measurement-list'), assessment3.id, attribute.id) response = self.client.get(url) self.assertEqual(response.status_code, status.HTTP_200_OK) self.assertEqual(len(response.data), 0) def test_search_measurement3(self): """ Should return one measurement that matches the rating, assessment combo. One measurement relates to an assessment that is not in the scope of the search. """ template1 = TemplateFactory() template2 = TemplateFactory() attribute1 = AttributeFactory(template=template1) attribute2 = AttributeFactory(template=template2) rating = RatingFactory(attribute=attribute1) assessment1 = AssessmentFactory(template=template1) assessment2 = AssessmentFactory(template=template2) measurement1 = MeasurementFactory(assessment=assessment1, attribute=attribute1, rating=rating) measurement2 = MeasurementFactory(assessment=assessment2, attribute=attribute2, rating=rating) url = "%s?assessment__id=%s&rating__attribute=%s" % (reverse('measurement-list'), assessment1.id, attribute1.id) response = self.client.get(url) self.assertEqual(response.status_code, status.HTTP_200_OK) self.assertEqual(response.data[0]['id'], measurement1.id) self.assertEqual(response.data[0]['rating'], rating.id) self.assertEqual(len(response.data), 1) def test_create_measurement(self): """ Ensure we can create a new measurement object. """ assessment = AssessmentFactory() rating = RatingFactory() target_rating = RatingFactory() url = reverse('measurement-list') data = {"id": None, "assessment": assessment.id, "attribute": rating.attribute.id, "rating": rating.id, "target_rating": target_rating.id, "observations": "123", "action": "456"} response = self.client.post(url, data, format='json') self.assertEqual(response.status_code, status.HTTP_201_CREATED) self.assertEqual(Measurement.objects.count(), 1) def test_create_measurement_no_rating(self): """ Ensure we can't create a new measurement object without a rating. """ assessment = AssessmentFactory() target_rating = RatingFactory() url = reverse('measurement-list') data = {"id": None, "assessment": assessment.id, "attribute": target_rating.attribute.id, "rating": None, "target_rating": target_rating.id, "observations": "123", "action": "456"} response = self.client.post(url, data, format='json') self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST) self.assertEqual(Measurement.objects.count(), 0) def test_create_measurement_blank_observation(self): """ Ensure we can create a new measurement object with a "" observation. """ assessment = AssessmentFactory() rating = RatingFactory() url = reverse('measurement-list') data = {"id": None, "assessment": assessment.id, "attribute": rating.attribute.id, "rating": rating.id, "observations": "", "action": "456"} response = self.client.post(url, data, format='json') self.assertEqual(response.status_code, status.HTTP_201_CREATED) self.assertEqual(Measurement.objects.count(), 1) def test_create_measurement_no_observation(self): """ Ensure we can create a new measurement object without an observation. """ assessment = AssessmentFactory() rating = RatingFactory() url = reverse('measurement-list') data = {"id": None, "assessment": assessment.id, "attribute": rating.attribute.id, "rating": rating.id, "observations": None, "action": "456"} response = self.client.post(url, data, format='json') self.assertEqual(response.status_code, status.HTTP_201_CREATED) self.assertEqual(Measurement.objects.count(), 1) def test_create_measurement_no_target(self): """ Ensure we can create a new measurement object without a target """ assessment = AssessmentFactory() rating = RatingFactory() url = reverse('measurement-list') data = {"id": None, "assessment": assessment.id, "attribute": rating.attribute.id, "rating": rating.id, "observations": None, "action": "456"} response = self.client.post(url, data, format='json') self.assertEqual(response.status_code, status.HTTP_201_CREATED) self.assertEqual(Measurement.objects.count(), 1) def test_create_measurement_fail_assessment_read_only(self): """ Ensure we cannot create a new measurement when the assessment is read only """ assessment = AssessmentFactory(status="DONE") rating = RatingFactory() url = reverse('measurement-list') data = {"id": None, "assessment": assessment.id, "attribute": rating.attribute.id, "rating": rating.id, "observations": None, "action": "456"} response = self.client.post(url, data, format='json') self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN) self.assertEqual(Measurement.objects.count(), 0) def test_create_measurement_success_assessment_read_only_super_user(self): """ Ensure we can create a new measurement when the assessment is read only and superuser """ password = 'mypassword' my_admin = User.objects.create_superuser('myuser', 'myemail@test.com', password) self.client.login(username=my_admin.username, password=password) assessment = AssessmentFactory(status="DONE") rating = RatingFactory() url = reverse('measurement-list') data = {"id": None, "assessment": assessment.id, "attribute": rating.attribute.id, "rating": rating.id, "observations": None, "action": "456"} response = self.client.post(url, data, format='json') self.assertEqual(response.status_code, status.HTTP_201_CREATED) self.assertEqual(Measurement.objects.count(), 1) def test_update_measurement(self): """ Ensure we can update an existing measurement object. """ assessment = AssessmentFactory() rating = RatingFactory() rating2 = RatingFactory(attribute=rating.attribute) measurement = MeasurementFactory(assessment=assessment, attribute=rating.attribute, rating=rating) url = reverse('measurement-detail', args=(measurement.id,)) data = {"id": measurement.id, "assessment": assessment.id, "attribute": rating.attribute.id, "rating": rating2.id, "observations": "123", "action": "456"} response = self.client.put(url, data, format='json') self.assertEqual(response.status_code, status.HTTP_200_OK) self.assertEqual(Measurement.objects.count(), 1) self.assertEqual(response.data['id'], measurement.id) self.assertEqual(response.data['rating'], rating2.id) def test_update_target_rating_to_measurement(self): """ Ensure we can update an existing measurement object with a target rating """ assessment = AssessmentFactory() rating = RatingFactory() target_rating = RatingFactory(attribute=rating.attribute) measurement = MeasurementFactory(assessment=assessment, attribute=rating.attribute, rating=rating) url = reverse('measurement-detail', args=(measurement.id,)) data = {"id": measurement.id, "assessment": assessment.id, "attribute": rating.attribute.id, "rating": rating.id, "target_rating": target_rating.id, "observations": "123", "action": "456"} response = self.client.put(url, data, format='json') self.assertEqual(response.status_code, status.HTTP_200_OK) self.assertEqual(Measurement.objects.count(), 1) self.assertEqual(response.data['id'], measurement.id) self.assertEqual(response.data['target_rating'], target_rating.id) def test_cannot_update_measurement_when_assessment_is_read_only(self): """ Ensure we cannot update an existing measurement object when assessment is read only """ assessment = AssessmentFactory(status="DONE") rating = RatingFactory() target_rating = RatingFactory(attribute=rating.attribute) measurement = MeasurementFactory(assessment=assessment, attribute=rating.attribute, rating=rating) url = reverse('measurement-detail', args=(measurement.id,)) data = {"id": measurement.id, "assessment": assessment.id, "attribute": rating.attribute.id, "rating": rating.id, "target_rating": target_rating.id, "observations": "123", "action": "456"} response = self.client.put(url, data, format='json') self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN) def test_can_update_measurement_when_assessment_is_read_only_and_super_user(self): """ Ensure we can update an existing measurement object when assessment is read only and you are superuser """ assessment = AssessmentFactory(status="DONE") rating = RatingFactory() target_rating = RatingFactory(attribute=rating.attribute) measurement = MeasurementFactory(assessment=assessment, attribute=rating.attribute, rating=rating) password = 'mypassword' my_admin = User.objects.create_superuser('myuser', 'myemail@test.com', password) self.client.login(username=my_admin.username, password=password) url = reverse('measurement-detail', args=(measurement.id,)) data = {"id": measurement.id, "assessment": assessment.id, "attribute": rating.attribute.id, "rating": rating.id, "target_rating": target_rating.id, "observations": "123", "action": "456"} response = self.client.put(url, data, format='json') self.assertEqual(response.status_code, status.HTTP_200_OK) def test_create_measurement_blank_action(self): """ Ensure we can create a new measurement object with a "" action. """ assessment = AssessmentFactory() rating = RatingFactory() url = reverse('measurement-list') data = {"id": None, "assessment": assessment.id, "attribute": rating.attribute.id, "rating": rating.id, "observations": "123", "action": ""} response = self.client.post(url, data, format='json') self.assertEqual(response.status_code, status.HTTP_201_CREATED) self.assertEqual(Measurement.objects.count(), 1) def test_create_measurement_no_action(self): """ Ensure we can create a new measurement object without an action. """ assessment = AssessmentFactory() rating = RatingFactory() url = reverse('measurement-list') data = {"id": None, "assessment": assessment.id, "attribute": rating.attribute.id, "rating": rating.id, "observations": "123", "action": None} response = self.client.post(url, data, format='json') self.assertEqual(response.status_code, status.HTTP_201_CREATED) self.assertEqual(Measurement.objects.count(), 1) def test_cannot_delete_measurement_when_assessment_is_read_only(self): """ Ensure we cannot delete an existing measurement object when assessment is read only """ assessment = AssessmentFactory(status="DONE") rating = RatingFactory() target_rating = RatingFactory(attribute=rating.attribute) measurement = MeasurementFactory(assessment=assessment, attribute=rating.attribute, rating=rating) url = reverse('measurement-detail', args=(measurement.id,)) data = {"id": measurement.id, "assessment": assessment.id, "attribute": rating.attribute.id, "rating": rating.id, "target_rating": target_rating.id, "observations": "123", "action": "456"} response = self.client.delete(url, data, format='json') self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN) self.assertEqual(Measurement.objects.count(), 1) def test_can_delete_measurement_when_assessment_is_read_only_and_super_user(self): """ Ensure we can delete an existing measurement object when assessment is read only and you are superuser """ assessment = AssessmentFactory(status="DONE") rating = RatingFactory() target_rating = RatingFactory(attribute=rating.attribute) measurement = MeasurementFactory(assessment=assessment, attribute=rating.attribute, rating=rating) password = 'mypassword' my_admin = User.objects.create_superuser('myuser', 'myemail@test.com', password) self.client.login(username=my_admin.username, password=password) url = reverse('measurement-detail', args=(measurement.id,)) data = {"id": measurement.id, "assessment": assessment.id, "attribute": rating.attribute.id, "rating": rating.id, "target_rating": target_rating.id, "observations": "123", "action": "456"} response = self.client.delete(url, data, format='json') self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT) self.assertEqual(Measurement.objects.count(), 0)

48.963964

120

0.660227

1,677

16,305

6.2904

0.086464

0.059721

0.056688

0.049483

0.829463

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0.774386

0.761778

0.759598

0.742345

0

0.015117

0.229132

16,305

332

121

49.111446

0.824171

0.091199

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0.074074

false

0.037037

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0

0.102881

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null

0

1

0

1

0

null

0

7

9ebb800a5ef8330c6d0e90edb4a30fbb21496873

20,542

py

Python

tests/test_base.py

roverdotcom/dogstatsd-collector

d42ab28fa22e50ea419b2d1874498270687db84e

[ "BSD-3-Clause" ]

1

2019-06-01T20:04:14.000Z

tests/test_base.py

roverdotcom/dogstatsd-collector

d42ab28fa22e50ea419b2d1874498270687db84e

[ "BSD-3-Clause" ]

2

2019-06-06T17:41:19.000Z

2019-08-14T16:48:21.000Z

tests/test_base.py

roverdotcom/dogstatsd-collector

d42ab28fa22e50ea419b2d1874498270687db84e

[ "BSD-3-Clause" ]

null

from unittest import TestCase from mock import MagicMock from mock import call from dogstatsd_collector import DogstatsdCollector class DogstatsdCollectorTests(TestCase): def setUp(self): super(DogstatsdCollectorTests, self).setUp() self.dogstatsd = MagicMock() self.collector = DogstatsdCollector(self.dogstatsd) def test_ctor_initializes_histograms(self): self.assertTrue(hasattr(self.collector, '_histograms')) self.assertEqual(self.collector._histograms, {}) def test_ctor_initializes_increments(self): self.assertTrue(hasattr(self.collector, '_increments')) self.assertEqual(self.collector._increments, {}) def test_ctor_initializes_base_tags_when_not_specified(self): self.assertTrue(hasattr(self.collector, 'base_tags')) self.assertEqual(self.collector.base_tags, []) def test_ctor_initializes_base_tags_when_specified(self): expected_tags = ['tag:value'] collector = DogstatsdCollector(self.dogstatsd, base_tags=expected_tags) self.assertTrue(hasattr(collector, 'base_tags')) self.assertEqual(collector.base_tags, expected_tags) def test_single_increment_without_tags(self): metric_name = 'my.metric' self.collector.increment(metric_name) self.collector.flush() self.dogstatsd.increment.assert_has_calls([ call(metric_name, 1, tags=[]) ], any_order=True) def test_single_increment_with_tags(self): metric_name = 'my.metric' tags = ['tag1:value1'] self.collector.increment(metric_name, tags=tags) self.collector.flush() self.dogstatsd.increment.assert_has_calls([ call(metric_name, 1, tags=tags) ], any_order=True) def test_increment_with_base_tags(self): base_tags = ['basetag:basevalue'] collector = DogstatsdCollector(self.dogstatsd, base_tags=base_tags) metric_name = 'my.metric' tags = ['tag1:value1'] collector.increment(metric_name, tags=tags) collector.flush() expected_tags = sorted(tags + base_tags) self.dogstatsd.increment.assert_has_calls([ call(metric_name, 1, tags=expected_tags) ], any_order=True) def test_increment_supports_specified_value(self): metric_name = 'my.metric' tags = ['tag1:value1'] self.collector.increment(metric_name, 5, tags=tags) self.collector.flush() self.dogstatsd.increment.assert_has_calls([ call(metric_name, 5, tags=tags) ], any_order=True) def test_multiple_increment_with_tags(self): metric_name = 'my.metric' tags = ['tag1:value1'] self.collector.increment(metric_name, tags=tags) self.collector.increment(metric_name, tags=tags) self.collector.increment(metric_name, tags=tags) self.collector.flush() self.dogstatsd.increment.assert_has_calls([ call(metric_name, 3, tags=['tag1:value1']) ], any_order=True) def test_increment_with_multiple_values_for_one_tag(self): metric_name = 'my.metric' self.collector.increment(metric_name, tags=['tag1:value1']) self.collector.increment(metric_name, tags=['tag1:value2']) self.collector.increment(metric_name, tags=['tag1:value3']) self.collector.flush() self.dogstatsd.increment.assert_has_calls([ call(metric_name, 1, tags=['tag1:value1']), call(metric_name, 1, tags=['tag1:value2']), call(metric_name, 1, tags=['tag1:value3']) ], any_order=True) def test_multiple_increment_with_multiple_values_for_one_tag(self): metric_name = 'my.metric' self.collector.increment(metric_name, tags=['tag1:value1']) self.collector.increment(metric_name, tags=['tag1:value1']) self.collector.increment(metric_name, tags=['tag1:value2']) self.collector.increment(metric_name, tags=['tag1:value2']) self.collector.increment(metric_name, tags=['tag1:value3']) self.collector.increment(metric_name, tags=['tag1:value3']) self.collector.flush() self.dogstatsd.increment.assert_has_calls([ call(metric_name, 2, tags=['tag1:value1']), call(metric_name, 2, tags=['tag1:value2']), call(metric_name, 2, tags=['tag1:value3']) ], any_order=True) def test_single_increment_with_multiple_tags(self): metric_name = 'my.metric' tags1 = ['tag1:value1'] tags2 = ['tag2:value1'] tags3 = ['tag3:value1'] self.collector.increment(metric_name, tags=tags1) self.collector.increment(metric_name, tags=tags2) self.collector.increment(metric_name, tags=tags3) self.collector.flush() self.dogstatsd.increment.assert_has_calls([ call(metric_name, 1, tags=tags1), call(metric_name, 1, tags=tags2), call(metric_name, 1, tags=tags3), ], any_order=True) def test_multiple_increment_with_multiple_tags(self): metric_name = 'my.metric' tags1 = ['tag1:value1'] tags2 = ['tag2:value1'] tags3 = ['tag3:value1'] self.collector.increment(metric_name, tags=tags1) self.collector.increment(metric_name, tags=tags1) self.collector.increment(metric_name, tags=tags2) self.collector.increment(metric_name, tags=tags2) self.collector.increment(metric_name, tags=tags3) self.collector.increment(metric_name, tags=tags3) self.collector.flush() self.dogstatsd.increment.assert_has_calls([ call(metric_name, 2, tags=tags1), call(metric_name, 2, tags=tags2), call(metric_name, 2, tags=tags3), ], any_order=True) def test_single_increment_with_multiple_values_for_multiple_tags(self): metric_name = 'my.metric' self.collector.increment(metric_name, tags=['tag1:value1']) self.collector.increment(metric_name, tags=['tag1:value2']) self.collector.increment(metric_name, tags=['tag1:value3']) self.collector.increment(metric_name, tags=['tag2:value1']) self.collector.increment(metric_name, tags=['tag2:value2']) self.collector.increment(metric_name, tags=['tag2:value3']) self.collector.increment(metric_name, tags=['tag3:value1']) self.collector.increment(metric_name, tags=['tag3:value2']) self.collector.increment(metric_name, tags=['tag3:value3']) self.collector.flush() self.dogstatsd.increment.assert_has_calls([ call(metric_name, 1, tags=['tag1:value1']), call(metric_name, 1, tags=['tag1:value2']), call(metric_name, 1, tags=['tag1:value3']), call(metric_name, 1, tags=['tag2:value1']), call(metric_name, 1, tags=['tag2:value2']), call(metric_name, 1, tags=['tag2:value3']), call(metric_name, 1, tags=['tag3:value1']), call(metric_name, 1, tags=['tag3:value2']), call(metric_name, 1, tags=['tag3:value3']), ], any_order=True) def test_multiple_increment_with_multiple_values_for_multiple_tags(self): metric_name = 'my.metric' self.collector.increment(metric_name, tags=['tag1:value1']) self.collector.increment(metric_name, tags=['tag1:value1']) self.collector.increment(metric_name, tags=['tag1:value2']) self.collector.increment(metric_name, tags=['tag1:value2']) self.collector.increment(metric_name, tags=['tag1:value3']) self.collector.increment(metric_name, tags=['tag1:value3']) self.collector.increment(metric_name, tags=['tag2:value1']) self.collector.increment(metric_name, tags=['tag2:value1']) self.collector.increment(metric_name, tags=['tag2:value2']) self.collector.increment(metric_name, tags=['tag2:value2']) self.collector.increment(metric_name, tags=['tag2:value3']) self.collector.increment(metric_name, tags=['tag2:value3']) self.collector.increment(metric_name, tags=['tag3:value1']) self.collector.increment(metric_name, tags=['tag3:value1']) self.collector.increment(metric_name, tags=['tag3:value2']) self.collector.increment(metric_name, tags=['tag3:value2']) self.collector.increment(metric_name, tags=['tag3:value3']) self.collector.increment(metric_name, tags=['tag3:value3']) self.collector.flush() self.dogstatsd.increment.assert_has_calls([ call(metric_name, 2, tags=['tag1:value1']), call(metric_name, 2, tags=['tag1:value2']), call(metric_name, 2, tags=['tag1:value3']), call(metric_name, 2, tags=['tag2:value1']), call(metric_name, 2, tags=['tag2:value2']), call(metric_name, 2, tags=['tag2:value3']), call(metric_name, 2, tags=['tag3:value1']), call(metric_name, 2, tags=['tag3:value2']), call(metric_name, 2, tags=['tag3:value3']), ], any_order=True) def test_increment_differentiates_among_series(self): metric_name = 'my.metric' self.collector.increment(metric_name, tags=['tag1:value1']) self.collector.increment(metric_name, tags=['tag1:value1', 'tag2:value2']) self.collector.increment(metric_name, tags=['tag1:value1', 'tag2:value2']) self.collector.increment(metric_name, tags=['tag1:value1', 'tag2:value2', 'tag3:value3']) self.collector.increment(metric_name, tags=['tag1:value1', 'tag2:value2', 'tag3:value3']) self.collector.increment(metric_name, tags=['tag1:value1', 'tag2:value2', 'tag3:value3']) self.collector.flush() self.dogstatsd.increment.assert_has_calls([ call(metric_name, 1, tags=['tag1:value1']), call(metric_name, 2, tags=['tag1:value1', 'tag2:value2']), call(metric_name, 3, tags=['tag1:value1', 'tag2:value2', 'tag3:value3']), ], any_order=True) def test_single_histogram_without_tags(self): metric_name = 'my.metric' self.collector.histogram(metric_name, 1) self.collector.flush() self.dogstatsd.histogram.assert_has_calls([ call(metric_name, 1, tags=[]) ], any_order=True) def test_single_histogram_with_tags(self): metric_name = 'my.metric' tags = ['tag1:value1'] self.collector.histogram(metric_name, 1, tags=tags) self.collector.flush() self.dogstatsd.histogram.assert_has_calls([ call(metric_name, 1, tags=tags) ], any_order=True) def test_multiple_histogram_with_tags(self): metric_name = 'my.metric' tags = ['tag1:value1'] self.collector.histogram(metric_name, 1, tags=tags) self.collector.histogram(metric_name, 1, tags=tags) self.collector.histogram(metric_name, 1, tags=tags) self.collector.flush() self.dogstatsd.histogram.assert_has_calls([ call(metric_name, 3, tags=['tag1:value1']) ], any_order=True) def test_histogram_with_base_tags(self): base_tags = ['basetag:basevalue'] collector = DogstatsdCollector(self.dogstatsd, base_tags=base_tags) metric_name = 'my.metric' tags = ['tag1:value1'] collector.histogram(metric_name, 1, tags=tags) collector.flush() expected_tags = sorted(tags + base_tags) self.dogstatsd.histogram.assert_has_calls([ call(metric_name, 1, tags=expected_tags) ], any_order=True) def test_histogram_with_multiple_values_for_one_tag(self): metric_name = 'my.metric' self.collector.histogram(metric_name, 1, tags=['tag1:value1']) self.collector.histogram(metric_name, 1, tags=['tag1:value2']) self.collector.histogram(metric_name, 1, tags=['tag1:value3']) self.collector.flush() self.dogstatsd.histogram.assert_has_calls([ call(metric_name, 1, tags=['tag1:value1']), call(metric_name, 1, tags=['tag1:value2']), call(metric_name, 1, tags=['tag1:value3']) ], any_order=True) def test_multiple_histogram_with_multiple_values_for_one_tag(self): metric_name = 'my.metric' self.collector.histogram(metric_name, 1, tags=['tag1:value1']) self.collector.histogram(metric_name, 1, tags=['tag1:value1']) self.collector.histogram(metric_name, 1, tags=['tag1:value2']) self.collector.histogram(metric_name, 1, tags=['tag1:value2']) self.collector.histogram(metric_name, 1, tags=['tag1:value3']) self.collector.histogram(metric_name, 1, tags=['tag1:value3']) self.collector.flush() self.dogstatsd.histogram.assert_has_calls([ call(metric_name, 2, tags=['tag1:value1']), call(metric_name, 2, tags=['tag1:value2']), call(metric_name, 2, tags=['tag1:value3']) ], any_order=True) def test_single_histogram_with_multiple_tags(self): metric_name = 'my.metric' tags1 = ['tag1:value1'] tags2 = ['tag2:value1'] tags3 = ['tag3:value1'] self.collector.histogram(metric_name, 1, tags=tags1) self.collector.histogram(metric_name, 1, tags=tags2) self.collector.histogram(metric_name, 1, tags=tags3) self.collector.flush() self.dogstatsd.histogram.assert_has_calls([ call(metric_name, 1, tags=tags1), call(metric_name, 1, tags=tags2), call(metric_name, 1, tags=tags3), ], any_order=True) def test_multiple_histogram_with_multiple_tags(self): metric_name = 'my.metric' tags1 = ['tag1:value1'] tags2 = ['tag2:value1'] tags3 = ['tag3:value1'] self.collector.histogram(metric_name, 1, tags=tags1) self.collector.histogram(metric_name, 1, tags=tags1) self.collector.histogram(metric_name, 1, tags=tags2) self.collector.histogram(metric_name, 1, tags=tags2) self.collector.histogram(metric_name, 1, tags=tags3) self.collector.histogram(metric_name, 1, tags=tags3) self.collector.flush() self.dogstatsd.histogram.assert_has_calls([ call(metric_name, 2, tags=tags1), call(metric_name, 2, tags=tags2), call(metric_name, 2, tags=tags3), ], any_order=True) def test_single_histogram_with_multiple_values_for_multiple_tags(self): metric_name = 'my.metric' self.collector.histogram(metric_name, 1, tags=['tag1:value1']) self.collector.histogram(metric_name, 1, tags=['tag1:value2']) self.collector.histogram(metric_name, 1, tags=['tag1:value3']) self.collector.histogram(metric_name, 1, tags=['tag2:value1']) self.collector.histogram(metric_name, 1, tags=['tag2:value2']) self.collector.histogram(metric_name, 1, tags=['tag2:value3']) self.collector.histogram(metric_name, 1, tags=['tag3:value1']) self.collector.histogram(metric_name, 1, tags=['tag3:value2']) self.collector.histogram(metric_name, 1, tags=['tag3:value3']) self.collector.flush() self.dogstatsd.histogram.assert_has_calls([ call(metric_name, 1, tags=['tag1:value1']), call(metric_name, 1, tags=['tag1:value2']), call(metric_name, 1, tags=['tag1:value3']), call(metric_name, 1, tags=['tag2:value1']), call(metric_name, 1, tags=['tag2:value2']), call(metric_name, 1, tags=['tag2:value3']), call(metric_name, 1, tags=['tag3:value1']), call(metric_name, 1, tags=['tag3:value2']), call(metric_name, 1, tags=['tag3:value3']), ], any_order=True) def test_multiple_histogram_with_multiple_values_for_multiple_tags(self): metric_name = 'my.metric' self.collector.histogram(metric_name, 1, tags=['tag1:value1']) self.collector.histogram(metric_name, 1, tags=['tag1:value1']) self.collector.histogram(metric_name, 1, tags=['tag1:value2']) self.collector.histogram(metric_name, 1, tags=['tag1:value2']) self.collector.histogram(metric_name, 1, tags=['tag1:value3']) self.collector.histogram(metric_name, 1, tags=['tag1:value3']) self.collector.histogram(metric_name, 1, tags=['tag2:value1']) self.collector.histogram(metric_name, 1, tags=['tag2:value1']) self.collector.histogram(metric_name, 1, tags=['tag2:value2']) self.collector.histogram(metric_name, 1, tags=['tag2:value2']) self.collector.histogram(metric_name, 1, tags=['tag2:value3']) self.collector.histogram(metric_name, 1, tags=['tag2:value3']) self.collector.histogram(metric_name, 1, tags=['tag3:value1']) self.collector.histogram(metric_name, 1, tags=['tag3:value1']) self.collector.histogram(metric_name, 1, tags=['tag3:value2']) self.collector.histogram(metric_name, 1, tags=['tag3:value2']) self.collector.histogram(metric_name, 1, tags=['tag3:value3']) self.collector.histogram(metric_name, 1, tags=['tag3:value3']) self.collector.flush() self.dogstatsd.histogram.assert_has_calls([ call(metric_name, 2, tags=['tag1:value1']), call(metric_name, 2, tags=['tag1:value2']), call(metric_name, 2, tags=['tag1:value3']), call(metric_name, 2, tags=['tag2:value1']), call(metric_name, 2, tags=['tag2:value2']), call(metric_name, 2, tags=['tag2:value3']), call(metric_name, 2, tags=['tag3:value1']), call(metric_name, 2, tags=['tag3:value2']), call(metric_name, 2, tags=['tag3:value3']), ], any_order=True) def test_histogram_differentiates_among_series(self): metric_name = 'my.metric' self.collector.histogram(metric_name, 1, tags=['tag1:value1']) self.collector.histogram(metric_name, 1, tags=['tag1:value1', 'tag2:value2']) self.collector.histogram(metric_name, 1, tags=['tag1:value1', 'tag2:value2']) self.collector.histogram(metric_name, 1, tags=['tag1:value1', 'tag2:value2', 'tag3:value3']) self.collector.histogram(metric_name, 1, tags=['tag1:value1', 'tag2:value2', 'tag3:value3']) self.collector.histogram(metric_name, 1, tags=['tag1:value1', 'tag2:value2', 'tag3:value3']) self.collector.flush() self.dogstatsd.histogram.assert_has_calls([ call(metric_name, 1, tags=['tag1:value1']), call(metric_name, 2, tags=['tag1:value1', 'tag2:value2']), call(metric_name, 3, tags=['tag1:value1', 'tag2:value2', 'tag3:value3']), ], any_order=True) def test_mix_of_increments_and_histograms(self): metric_name = 'my.metric' self.collector.increment(metric_name, tags=['tag1:value1']) self.collector.increment(metric_name, tags=['tag1:value1', 'tag2:value2']) self.collector.increment(metric_name, tags=['tag1:value1', 'tag2:value2']) self.collector.increment(metric_name, tags=['tag1:value1', 'tag2:value2', 'tag3:value3']) self.collector.increment(metric_name, tags=['tag1:value1', 'tag2:value2', 'tag3:value3']) self.collector.increment(metric_name, tags=['tag1:value1', 'tag2:value2', 'tag3:value3']) self.collector.histogram(metric_name, 1, tags=['tag1:value1']) self.collector.histogram(metric_name, 1, tags=['tag1:value1', 'tag2:value2']) self.collector.histogram(metric_name, 1, tags=['tag1:value1', 'tag2:value2']) self.collector.histogram(metric_name, 1, tags=['tag1:value1', 'tag2:value2', 'tag3:value3']) self.collector.histogram(metric_name, 1, tags=['tag1:value1', 'tag2:value2', 'tag3:value3']) self.collector.histogram(metric_name, 1, tags=['tag1:value1', 'tag2:value2', 'tag3:value3']) self.collector.flush() self.dogstatsd.increment.assert_has_calls([ call(metric_name, 1, tags=['tag1:value1']), call(metric_name, 2, tags=['tag1:value1', 'tag2:value2']), call(metric_name, 3, tags=['tag1:value1', 'tag2:value2', 'tag3:value3']), ], any_order=True) self.dogstatsd.histogram.assert_has_calls([ call(metric_name, 1, tags=['tag1:value1']), call(metric_name, 2, tags=['tag1:value1', 'tag2:value2']), call(metric_name, 3, tags=['tag1:value1', 'tag2:value2', 'tag3:value3']), ], any_order=True)

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7b39ba2000e24077995ec1dadd33cc19139f70f5

33,737

py

Python

ippgtoolbox/utils/video/msrReader.py

BeCuriousS/ippg-toolbox

74b58459d038e2a77f0b51b33de372f3f9afd2a6

[ "MIT" ]

null

ippgtoolbox/utils/video/msrReader.py

BeCuriousS/ippg-toolbox

74b58459d038e2a77f0b51b33de372f3f9afd2a6

[ "MIT" ]

null

ippgtoolbox/utils/video/msrReader.py

BeCuriousS/ippg-toolbox

74b58459d038e2a77f0b51b33de372f3f9afd2a6

[ "MIT" ]

null

""" ------------------------------------------------------------------------------- Created: 21.02.2021, 18:41 ------------------------------------------------------------------------------- Author: Matthieu Scherpf Email: Matthieu.Scherpf@tu-dresden.de Website: https://becuriouss.github.io/matthieu-scherpf/ Project page: tba ------------------------------------------------------------------------------- Purpose: Video reader class for a custom video format that is used at the IBMT. ------------------------------------------------------------------------------- """ from ..logger import Logger import os import numpy as np import struct from datetime import date, time, datetime Logger.setGlobalLoglvl('error') def _convertBinToInt(byteArray, bitsPerChannel, colorModel, byteorder): """Convert binary values to integers. Used for the custom MSR video format. """ if byteorder == 'big': dataType = np.dtype(np.uint8) elif byteorder == 'little': dataType = np.dtype(np.uint8).newbyteorder('>') if colorModel == 'M': if bitsPerChannel[0] == 8: # no conversion necessary Logger.logWarning( 'This conversion type (model: {0}, bitdepth: {1:d}) has not been tested yet...'.format(colorModel, bitsPerChannel[0])) return np.frombuffer(byteArray, dtype=dataType) elif bitsPerChannel[0] == 10: Logger.logWarning( 'This conversion type (model: {0}, bitdepth: {1:d}) has not been tested yet...'.format(colorModel, bitsPerChannel[0])) return _binToInt_mono10(np.frombuffer(byteArray, dtype=dataType)) elif bitsPerChannel[0] == 12: Logger.logWarning( 'This conversion type (model: {0}, bitdepth: {1:d}) has not been tested yet...'.format(colorModel, bitsPerChannel[0])) return _binToInt_mono12(np.frombuffer(byteArray, dtype=dataType)) else: Logger.logError( 'The specified bitsPerChannel have not yet been defined for this colorModel...') raise ValueError('bitsPerChannel not defined') elif colorModel == 'RGB': if bitsPerChannel[0] == 8: # no conversion necessary Logger.logWarning( 'This conversion type (model: {0}, bitdepth: {1:d}) has not been tested yet...'.format(colorModel, bitsPerChannel[0])) return np.frombuffer(byteArray, dtype=dataType) elif bitsPerChannel[0] == 10: return _binToInt_rgb10(np.frombuffer(byteArray, dtype=dataType)) elif bitsPerChannel[0] == 12: return _binToInt_rgb12(np.frombuffer(byteArray, dtype=dataType)) else: Logger.logError( 'The specified bitsPerChannel have not yet been defined for this colorModel {}...'.format(colorModel)) raise ValueError('bitsPerChannel not defined') else: Logger.logError( 'The specified colorModel {} has not yet been defined...'.format(colorModel)) raise ValueError('ColorModel not defined') MONO10_SHIFTS = [ 2**2, 1/2**6, 2**4, 1/2**4, 2**6, 1/2**2, 2**8, 1/2**0 ] def _binToInt_mono10(uint8Array): bytesPerChunk = 5 assert np.mod( uint8Array.shape[0], bytesPerChunk) == 0, 'modulo operation for uint8Array.shape[0] and bytesPerChunk not zero' tmp = uint8Array.copy().reshape((-1, bytesPerChunk)) bytes_1 = np.sum(tmp[:, 0:2] * MONO10_SHIFTS[0:2], dtype=np.uint64, axis=1, keepdims=True) tmp[:, 1] = tmp[:, 1] % 2**6 bytes_2 = np.sum(tmp[:, 1:3] * MONO10_SHIFTS[2:4], dtype=np.uint64, axis=1, keepdims=True) tmp[:, 2] = tmp[:, 2] % 2**4 bytes_3 = np.sum(tmp[:, 2:4] * MONO10_SHIFTS[4:6], dtype=np.uint64, axis=1, keepdims=True) tmp[:, 3] = tmp[:, 3] % 2**2 bytes_4 = np.sum(tmp[:, 3:] * MONO10_SHIFTS[6:], dtype=np.uint64, axis=1, keepdims=True) out = np.concatenate([bytes_1, bytes_2, bytes_3, bytes_4], axis=1) # flatten the array back to the input shape out = out.reshape((-1,)) return out MONO12_SHIFTS = [ 2**4, 1/2**4, 2**8, 2**0 ] def _binToInt_mono12(uint8Array): bytesPerChunk = 3 # ensure that the uint8Array has the right length assert np.mod( uint8Array.shape[0], bytesPerChunk) == 0, 'modulo operation for uint8Array.shape[0] and bytesPerChunk not zero' tmp = uint8Array.copy().reshape((-1, bytesPerChunk)) bytes_1 = np.sum(tmp[:, 0:2] * MONO12_SHIFTS[0:2], dtype=np.uint64, axis=1, keepdims=True) tmp[:, 1] = tmp[:, 1] % 2**4 bytes_2 = np.sum(tmp[:, 1:] * MONO12_SHIFTS[2:], dtype=np.uint64, axis=1, keepdims=True) out = np.concatenate([bytes_1, bytes_2], axis=1) # flatten the array back to the input shape out = out.reshape((-1,)) return out RGB10_SHIFTS = [ 2**22, 2**14, 2**6, 1/2**2, 2**28, 2**20, 2**12, 2**4, 1/2**4, 2**26, 2**18, 2**10, 2**2, 1/2**6, 2**24, 2**16, 2**8, 2**0 ] def _binToInt_rgb10(uint8Array): bytesPerChunk = 15 # ensure that the uint8Array has the right length assert np.mod( uint8Array.shape[0], bytesPerChunk) == 0, 'modulo operation for uint8Array.shape[0] and bytesPerChunk not zero' tmp = uint8Array.copy().reshape((-1, bytesPerChunk)) bytes_1 = np.sum(tmp[:, 0:4] * RGB10_SHIFTS[0:4], dtype=np.uint64, axis=1, keepdims=True) tmp[:, 3] = tmp[:, 3] % 2**2 bytes_2 = np.sum(tmp[:, 3:8] * RGB10_SHIFTS[4:9], dtype=np.uint64, axis=1, keepdims=True) tmp[:, 7] = tmp[:, 7] % 2**4 bytes_3 = np.sum(tmp[:, 7:12] * RGB10_SHIFTS[9:14], dtype=np.uint64, axis=1, keepdims=True) tmp[:, 11] = tmp[:, 11] % 2**6 bytes_4 = np.sum(tmp[:, 11:] * RGB10_SHIFTS[14:], dtype=np.uint64, axis=1, keepdims=True) out = np.concatenate([bytes_1, bytes_2, bytes_3, bytes_4], axis=1) # flatten the array back to the input shape out = out.reshape((-1,)) return out RGB12_SHIFTS = [ 2**28, 2**20, 2**12, 2**4, 1/2**4, # shifts for bytes_1 2**32, 2**24, 2**16, 2**8, 2**0 # shifts for bytes_2 ] def _binToInt_rgb12(uint8Array): bytesPerChunk = 9 # ensure that the uint8Array has the right length assert np.mod( uint8Array.shape[0], bytesPerChunk) == 0, 'modulo operation for uint8Array.shape[0] and bytesPerChunk not zero' tmp = uint8Array.copy().reshape((-1, bytesPerChunk)) bytes_1 = np.sum(tmp[:, 0:5] * RGB12_SHIFTS[0:5], dtype=np.uint64, axis=1, keepdims=True) tmp[:, 4] = tmp[:, 4] % 2**4 bytes_2 = np.sum(tmp[:, 4:] * RGB12_SHIFTS[5:], dtype=np.uint64, axis=1, keepdims=True) out = np.concatenate([bytes_1, bytes_2], axis=1) # flatten the array back to the input shape out = out.reshape((-1,)) return out class MSRReader(): """Reads a msr version 1 (*.msr) video file so that it can be used in python. This class is developed based on the MSRReader.m from the matfiles. MSR is a custom video format developed and used internally at the IBMT. """ def __init__(self, absFileName, byteorder='little', img_coord_sys='indices'): """Instanciate a reader for msr foramtted videos. Arguments: absFileName {str} -- absolute path to the video file Keyword Arguments: byteorder {str} -- little endian or big endian architecture (default: {'little'}) img_coord_sys {str} -- defines the orientation of the images ('indices' or 'spatial') (default: {'indices'}) """ self.absFileName = absFileName self.byteorder = byteorder # set the byteorder sign for struct.unpack func if self.byteorder == 'big': self.bos = '>' elif self.byteorder == 'little': self.bos = '<' self.img_coord_sys = img_coord_sys self.numberOfFrames = None self.resolution = None self.bytesPerFrame = None self.colorMode = None self.fileSize = None self.framesPerSecond = None self.duration = None self.headerSize = 16 # in byte self.timestampSize = 8 # in byte self.width = None self.height = None self.colorModel = None self.bitsPerChannel = None self._frameCounter = None # only used for reading frame by frame self._readMetaData = False # check if meta data of the video has been read def reader_next(self, startFrameIndex=0, return_ts=False): """Generator that yields frames and timestamps frame by frame until the video is completly read. Args: startFrameIndex (int, optional): frame index from which to start reading return_ts (bool, optional): Set if the timestamps from the camera should also be returned. Defaults to False. Yields: tuple or array: tuple for return_ts=True and numpy array otherwise. """ with open(self.absFileName, 'rb') as f: self._getMetaData(f) if startFrameIndex != 0: offset = self.headerSize + startFrameIndex * \ (self.timestampSize + self.bytesPerFrame) f.seek(offset, os.SEEK_SET) self._frameCounter = startFrameIndex while self._frameCounter < self.numberOfFrames: next_timestamp = self._getNextTimestamp(f) next_frame = self._getNextFrame(f) self._frameCounter += 1 if return_ts: yield (next_frame, next_timestamp) else: yield next_frame def reader_nextAtIndex(self, frameIndexes, return_ts=False): """ Generator that yields frames and timestamps at given frame indexes. Args: frameIndexes (iterable): Listlike object containing the indexes of the frames of interest in the video return_ts (bool, optional): Set if the timestamps from the camera should also be returned. Defaults to False. Yields: tuple or array: tuple for return_ts=True and numpy array otherwise. """ with open(self.absFileName, 'rb') as f: self._getMetaData(f) if return_ts: for idx in frameIndexes: next_timestamp = self.getTimestampAtIndex(f, idx) next_frame = self.getFrameAtIndex(f, idx) yield (next_frame, next_timestamp) else: for idx in frameIndexes: next_frame = self.getFrameAtIndex(f, idx) yield next_frame def readMetaData(self): with open(self.absFileName, 'rb') as f: self._getMetaData(f) def getFrameAtIndex(self, f: 'filehandler', frameIndex): """Reading the frame of a specific position defined by frameIndex. The indexing is 0-based. """ if not self._readMetaData: self._getMetaData(f) self._checkFrameIndex(frameIndex) offset = self.headerSize + self.timestampSize + \ frameIndex * (self.timestampSize + self.bytesPerFrame) f.seek(offset, os.SEEK_SET) # For 12bit mono (10bit used) if self.colorMode == 26: Logger.logWarning('This colorMode has not been tested yet...') binFrame = f.read(self.bytesPerFrame) binFrame = np.frombuffer(binFrame, dtype=np.dtype( np.uint16).newbyteorder(self.bos)) frame = np.reshape((binFrame & 4092)/4, self.resolution, order=self.order) return frame frame = np.zeros((self.resolution[0], self.resolution[1], 3)) binFrame = f.read(self.bytesPerFrame) binFrame = np.frombuffer(binFrame, dtype=np.dtype( np.uint32).newbyteorder(self.bos)) frame[:, :, 2] = np.reshape( (binFrame & 1023), self.resolution, order=self.order) frame[:, :, 1] = np.reshape( (binFrame & 1047552)/1024, self.resolution, order=self.order) frame[:, :, 0] = np.reshape( (binFrame & 1072693248)/1048576, self.resolution, order=self.order) return frame def getTimestampAtIndex(self, f: 'filehandler', frameIndex): """Reading the timestamp of a specific position defined by frameIndex. The indexing is 0-based. """ if not self._readMetaData: self._getMetaData(f) self._checkFrameIndex(frameIndex) offset = self.headerSize + (frameIndex) * \ (self.timestampSize + self.bytesPerFrame) f.seek(offset, os.SEEK_SET) timestamp = int.from_bytes( f.read(8), byteorder=self.byteorder, signed=False) if timestamp == int(16*'f', 16): if frameIndex == 0 or frameIndex == self.numberOfFrames: Logger.logError( 'Can\'t interpolate corrupted timestamp at frameIndex '+str(frameIndex)) # NOTE not sure if this recursion won't brake at some point t1 = self.getTimestampAtIndex(f, frameIndex-1) t2 = self.getTimestampAtIndex(f, frameIndex+1) timestamp = t1+(t2-t1)/2 return timestamp def getAllTimestamps(self, f: 'filehandler'): if not self._readMetaData: self._getMetaData(f) f.seek(self.headerSize, os.SEEK_SET) timestamps = [] for i in range(0, self.numberOfFrames): timestamps.append(int.from_bytes( f.read(8), byteorder=self.byteorder, signed=False)) f.seek(self.bytesPerFrame, os.SEEK_CUR) timestamps = np.array(timestamps) # correct corrupted timestamps (ct) with corrected values (cv) ct = np.nonzero(timestamps == int(16*'f', 16))[0] # rounding differences comparing matlab and python can occure at the next step (due to round rules) cv = np.asarray( np.round(np.mean(np.array((timestamps[ct-1], timestamps[ct+1])), axis=0)), 'int') timestamps[ct] = cv return timestamps def _getMetaData(self, f: 'filehandler'): Logger.logDebug('Opened file '+self.absFileName) self.colorMode = int.from_bytes( f.read(4), byteorder=self.byteorder, signed=False) self.bytesPerFrame = int.from_bytes( f.read(4), byteorder=self.byteorder, signed=False) resX = int.from_bytes( f.read(4), byteorder=self.byteorder, signed=False) resY = int.from_bytes( f.read(4), byteorder=self.byteorder, signed=False) self._readMetaData = True if self.img_coord_sys == 'indices': self.resolution = (resY, resX) # pixel indices self.order = 'F' # fill columns first if self.img_coord_sys == 'spatial': self.resolution = (resX, resY) # spatial coordinates self.order = 'C' # fill rows first self.fileSize = os.path.getsize(self.absFileName) self.numberOfFrames = int( (self.fileSize - self.headerSize) / (self.bytesPerFrame + self.timestampSize)) self.duration = (self.getTimestampAtIndex( f, self.numberOfFrames-1) - self.getTimestampAtIndex(f, 0))/10**7 # accuracy equals 100ns self.framesPerSecond = self.numberOfFrames / self.duration self.width = resX self.height = resY self.colorModel = 'RGB' # type tuple for forward compatibility with msr2 format self.bitsPerChannel = (10,) self._frameCounter = 0 self._resetPointer(f) [Logger.logDebug('var: ' + key + ', val: ' + str(val)) for key, val in vars(self).items()] def _getNextFrame(self, f: 'filehandler'): """Assumes the pointer is directly(!) before the next frame. It is intended to be used together with _getNextTimestamp after applying getMetaData. """ if self._frameCounter < self.numberOfFrames: # For 12bit mono (10bit used) if self.colorMode == 26: Logger.logWarning('This colorMode has not been tested yet...') binFrame = f.read(self.bytesPerFrame) binFrame = np.frombuffer(binFrame, dtype=np.dtype( np.uint16).newbyteorder(self.bos)) frame = np.reshape((binFrame & 4092)/4, self.resolution, order=self.order) return frame frame = np.zeros((self.resolution[0], self.resolution[1], 3)) binFrame = f.read(self.bytesPerFrame) binFrame = np.frombuffer(binFrame, dtype=np.dtype( np.uint32).newbyteorder(self.bos)) frame[:, :, 2] = np.reshape( (binFrame & 1023), self.resolution, order=self.order) frame[:, :, 1] = np.reshape( (binFrame & 1047552)/1024, self.resolution, order=self.order) frame[:, :, 0] = np.reshape( (binFrame & 1072693248)/1048576, self.resolution, order=self.order) return frame return None def _getNextTimestamp(self, f: 'filehandler'): """Assumes the pointer is directly(!) before the next timestamp. It is intended to be used together with _getNextFrame. """ if self._frameCounter < self.numberOfFrames: timestamp = int.from_bytes( f.read(8), byteorder=self.byteorder, signed=False) if timestamp == int(16*'f', 16): # save current position in file lastPos = os.SEEK_CUR # NOTE not sure if this recursion won't brake at some point t1 = self.getTimestampAtIndex(f, self._frameCounter-1) t2 = self.getTimestampAtIndex(f, self._frameCounter+1) timestamp = t1+(t2-t1)/2 # reset pointer to last position f.seek(lastPos, os.SEEK_SET) return timestamp return None def _checkFrameIndex(self, frameIndex): valid = False if (frameIndex < 0) or (frameIndex % 1) != 0: Logger.logError('frame index must be a positive integer.') raise ValueError('frameindex value out of range') elif frameIndex >= self.numberOfFrames: Logger.logError('frame index larger than number of frames.') raise ValueError('frameindex value out of range') else: valid = True return valid def _resetPointer(self, f: 'filehandler'): """ Set the pointer of the filehandler to the position after the metadata. """ f.seek(self.headerSize, os.SEEK_SET) self._frameCounter = 0 class MSR2Reader(): """Reads a msr version 2 (*.msr2) video file so that it can be used in python. This class is developed based on the MSR2ReaderV2.m from the matfiles. MSR2 is a custom video format developed and used internally at the IBMT. """ def __init__(self, absFileName, byteorder='big', img_coord_sys='indices'): """Instanciate a reader for msr foramtted videos. Arguments: absFileName {str} -- absolute path to the video file Keyword Arguments: byteorder {str} -- little endian or big endian architecture (default: {'little'}) img_coord_sys {str} -- defines the orientation of the images ('indices' or 'spatial') (default: {'indices'}) """ self.absFileName = absFileName self.byteorder = byteorder # set the byteorder sign for struct.unpack func if self.byteorder == 'big': self.bos = '>' elif self.byteorder == 'little': self.bos = '<' self.img_coord_sys = img_coord_sys self.numberOfFrames = None self.resolution = None self.bytesPerFrame = None self.fileSize = None self.framesPerSecond = None self.duration = None self.headerSize = None self.timestampSize = 8 # in byte self.width = None self.height = None self.colorModel = None self.bitsPerChannel = None self.cameraModel = None self.firstCompStamp = None self.timerFreq = 10**7 self._rgb12 = False self._mono12 = False self._rgb10 = False self._rgb8 = False self._mono8 = False self._deadBitsPerFrame = 0 self._accE = 3 # Accepted error in frame rate (in percent) self._frameCounter = None # only used for reading frame by frame self._readMetaData = False # check if meta data of the video has been read def reader_next(self, startFrameIndex=0, return_ts=False): """Generator that yields frames and timestamps frame by frame until the video is completly read. Args: startFrameIndex (int, optional): frame index from which to start reading return_ts (bool, optional): Set if the timestamps from the camera should also be returned. Defaults to False. Yields: tuple or array: tuple for return_ts=True and numpy array otherwise. """ with open(self.absFileName, 'rb') as f: self._getMetaData(f) if startFrameIndex != 0: offset = self.headerSize + startFrameIndex * \ (self.timestampSize + self.bytesPerFrame) f.seek(offset, os.SEEK_SET) self._frameCounter = startFrameIndex while self._frameCounter < self.numberOfFrames: next_timestamp = self._getNextTimestamp(f) next_frame = self._getNextFrame(f) self._frameCounter += 1 if return_ts: yield (next_frame, next_timestamp) else: yield next_frame def reader_nextAtIndex(self, frameIndexes, return_ts=False): """ Generator that yields frames and timestamps at given frame indexes. Args: frameIndexes (iterable): Listlike object containing the indexes of the frames of interest in the video return_ts (bool, optional): Set if the timestamps from the camera should also be returned. Defaults to False. Yields: tuple or array: tuple for return_ts=True and numpy array otherwise. """ with open(self.absFileName, 'rb') as f: self._getMetaData(f) if return_ts: for idx in frameIndexes: next_timestamp = self.getTimestampAtIndex(f, idx) next_frame = self.getFrameAtIndex(f, idx) yield (next_frame, next_timestamp) else: for idx in frameIndexes: next_frame = self.getFrameAtIndex(f, idx) yield next_frame def readMetaData(self): with open(self.absFileName, 'rb') as f: self._getMetaData(f) def getFrameAtIndex(self, f: 'filehandler', frameIndex): """Reading the frame of a specific position defined by frameIndex. The indexing is 0-based. """ if not self._readMetaData: self._getMetaData(f) self._checkFrameIndex(frameIndex) offset = self.headerSize + self.timestampSize + \ frameIndex * (self.timestampSize + self.bytesPerFrame) f.seek(offset, os.SEEK_SET) binFrame = f.read(self.bytesPerFrame) binFrame = _convertBinToInt( binFrame, self.bitsPerChannel, self.colorModel, self.byteorder) # For Mono colorMode if 'M' in self.colorModel: Logger.logWarning('This colorMode has not been tested yet...') frame = np.reshape(binFrame, self.resolution, order=self.order) return frame if 'RGB' in self.colorModel: bpc = self.bitsPerChannel[0] frame = np.zeros((self.resolution[0], self.resolution[1], 3)) frame[:, :, 2] = np.reshape( (binFrame & (2**bpc-1)), self.resolution, order=self.order) frame[:, :, 1] = np.reshape( (binFrame & (2**(bpc*2)-2**bpc))/(2**bpc), self.resolution, order=self.order) frame[:, :, 0] = np.reshape( (binFrame & (2**(bpc*3)-2**(bpc*2)))/(2**(bpc*2)), self.resolution, order=self.order) return frame def getTimestampAtIndex(self, f: 'filehandler', frameIndex): """Reading the timestamp of a specific position defined by frameIndex. The indexing is 0-based. """ if not self._readMetaData: self._getMetaData(f) self._checkFrameIndex(frameIndex) offset = self.headerSize + (frameIndex) * \ (self.timestampSize + self.bytesPerFrame) f.seek(offset, os.SEEK_SET) timestamp = int.from_bytes( f.read(8), byteorder=self.byteorder, signed=False) if timestamp == int(16*'f', 16): if frameIndex == 0 or frameIndex == self.numberOfFrames: Logger.logError( 'Can\'t interpolate corrupted timestamp at frameIndex '+str(frameIndex)) # NOTE not sure if this recursion won't brake at some point t1 = self.getTimestampAtIndex(f, frameIndex-1) t2 = self.getTimestampAtIndex(f, frameIndex+1) timestamp = t1+(t2-t1)/2 return timestamp def getAllTimestamps(self, f: 'filehandler'): if not self._readMetaData: self._getMetaData(f) f.seek(self.headerSize, os.SEEK_SET) timestamps = [] for i in range(0, self.numberOfFrames): timestamps.append(int.from_bytes( f.read(8), byteorder=self.byteorder, signed=False)) f.seek(self.bytesPerFrame, os.SEEK_CUR) timestamps = np.array(timestamps) # correct corrupted timestamps (ct) with corrected values (cv) ct = np.nonzero(timestamps == int(16*'f', 16))[0] # rounding differences comparing matlab and python can occure at the next step (due to round rules) cv = np.asarray( np.round(np.mean(np.array((timestamps[ct-1], timestamps[ct+1])), axis=0)), 'int') timestamps[ct] = cv return timestamps def _getMetaData(self, f: 'filehandler'): Logger.logDebug('Opened file '+self.absFileName) self.headerSize = int(int.from_bytes( f.read(8), byteorder=self.byteorder, signed=False)/8) # /8 because header size is in bit self.colorModel = ((f.read(8)).decode('windows-1252')).split('\x00')[0] if ('M' not in self.colorModel) and ('RGB' not in self.colorModel): Logger.logError( 'The color mode is not supported: colorModel' + self.colorModel) raise ValueError('The color model - ' + self.colorModel + ' - is not supported') self.bitsPerChannel = np.array(struct.unpack( 8*'B', f.read(8))[0:len(self.colorModel)]) self.bytesPerFrame = None self.width = int.from_bytes( f.read(4), byteorder=self.byteorder, signed=False) self.height = int.from_bytes( f.read(4), byteorder=self.byteorder, signed=False) self.framesPerSecond = struct.unpack(self.bos+'d', f.read(8))[0] self.numberOfFrames = int.from_bytes( f.read(8), byteorder=self.byteorder, signed=False) f.seek(8, os.SEEK_CUR) # skip timer freq for now (??) self.cameraModel = (f.read(32)).split(b'\x00')[0].decode('utf-8') if self.headerSize > 88: tmp_time = int.from_bytes( f.read(8), byteorder=self.byteorder, signed=False) if tmp_time > 10**10: tmp_time = tmp_time/86400000 + date.toordinal(date(1970, 1, 1)) else: tmp_time = tmp_time/86400 + date.toordinal(date(1970, 1, 1)) d = date.fromordinal(int(tmp_time)) hrs = (tmp_time % 1)*24 mins = (hrs % 1)*60 secs = (mins % 1)*60 msecs = (secs % 1)*1000 t = time(hour=int(hrs), minute=int(mins), second=int(secs), microsecond=int(msecs)) self.firstCompStamp = datetime.combine(d, t) if self.colorModel == 'RGB' and sum(self.bitsPerChannel-12) == 0: s = 3 self._rgb12 = True elif self.colorModel == 'RGB' and sum(self.bitsPerChannel-10) == 0: s = 3 self._rgb10 = True elif self.colorModel == 'RGB' and sum(self.bitsPerChannel-8) == 0: s = 3 self._rgb8 = True elif self.colorModel == 'M' and self.bitsPerChannel[0] == 12: s = 1 self._mono12 = True elif self.colorModel == 'M' and self.bitsPerChannel[0] == 8: s = 1 self._mono8 = True # for RGB, Mono with symmetric BitDepths bitCount = self.width * self.height * self.bitsPerChannel[0] * s self._deadBitsPerFrame = -bitCount % 8 if self._deadBitsPerFrame != 0: Logger.logError( 'This version does not support videos with dead bits at the end of the frames yet') raise NotImplementedError('Dead bits per frame not supported') self.bytesPerFrame = int((bitCount + self._deadBitsPerFrame)/8) self._readMetaData = True if self.img_coord_sys == 'indices': self.resolution = (self.width, self.height) # pixel indices self.order = 'F' # fill columns first if self.img_coord_sys == 'spatial': self.resolution = (self.height, self.width) # spatial coordinates self.order = 'C' # fill rows first self.fileSize = os.path.getsize(self.absFileName) self.duration = (self.getTimestampAtIndex( f, self.numberOfFrames-1) - self.getTimestampAtIndex(f, 0))/self.timerFreq self._frameCounter = 0 self._resetPointer(f) [Logger.logDebug('var: ' + key + ', val: ' + str(val)) for key, val in vars(self).items()] def _getNextFrame(self, f: 'filehandler'): """Assumes the pointer is directly(!) before the next frame. It is intended to be used together with _getNextTimestamp after applying getMetaData. """ if self._frameCounter < self.numberOfFrames: binFrame = f.read(self.bytesPerFrame) binFrame = _convertBinToInt( binFrame, self.bitsPerChannel, self.colorModel, self.byteorder) # For Mono colorMode if 'M' in self.colorModel: Logger.logWarning('This colorMode has not been tested yet...') frame = np.reshape(binFrame, self.resolution, order=self.order) return frame if 'RGB' in self.colorModel: bpc = self.bitsPerChannel[0] frame = np.zeros((self.resolution[0], self.resolution[1], 3)) frame[:, :, 2] = np.reshape( (binFrame & (2**bpc-1)), self.resolution, order=self.order) frame[:, :, 1] = np.reshape( (binFrame & (2**(bpc*2)-2**bpc))/(2**bpc), self.resolution, order=self.order) frame[:, :, 0] = np.reshape( (binFrame & (2**(bpc*3)-2**(bpc*2)))/(2**(bpc*2)), self.resolution, order=self.order) return frame return None def _getNextTimestamp(self, f: 'filehandler'): """Assumes the pointer is directly(!) before the next timestamp. It is intended to be used together with _getNextFrame. """ if self._frameCounter < self.numberOfFrames: timestamp = int.from_bytes( f.read(8), byteorder=self.byteorder, signed=False) if timestamp == int(16*'f', 16): # save current position in file lastPos = os.SEEK_CUR # NOTE not sure if this recursion won't brake at some point t1 = self.getTimestampAtIndex(f, self._frameCounter-1) t2 = self.getTimestampAtIndex(f, self._frameCounter+1) timestamp = t1+(t2-t1)/2 # reset pointer to last position f.seek(lastPos, os.SEEK_SET) return timestamp return None def _checkFrameIndex(self, frameIndex): valid = False if (frameIndex < 0) or (frameIndex % 1) != 0: Logger.logError('frame index must be a positive integer.') raise ValueError('frameindex value out of range') elif frameIndex >= self.numberOfFrames: Logger.logError('frame index larger than number of frames.') raise ValueError('frameindex value out of range') else: valid = True if not valid: raise ValueError('Invalid frameindex') return valid def _resetPointer(self, f: 'filehandler'): """ Set the pointer of the filehandler to the position after the metadata. """ f.seek(self.headerSize, os.SEEK_SET) self._frameCounter = 0 def _getFrameRateErrors(self): ds_des = self.timerFreq/self.framesPerSecond stamps = self.getAllTimestamps() ds = stamps[1:] - stamps[0:-1] mask = np.logical_or((ds > (1+self._accE/100) * ds_des), (ds < (1-self._accE/100)*ds_des)) mask = np.concatenate([mask, np.array([False])]) ind = np.nonzero(mask) return ind, mask, stamps

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c89d9d97a01a1827019c7dd871c8f38dd4fdcbbd

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Python

suites/test_assembly_content.py

redhataccess/cheesecake-api-tests

9f2d255942bd23f93d0edb9d98be3acc360b7863

[ "MIT" ]

1

2019-12-03T21:22:37.000Z

suites/test_assembly_content.py

redhataccess/cheesecake-api-tests

9f2d255942bd23f93d0edb9d98be3acc360b7863

[ "MIT" ]

8

2020-08-28T19:21:16.000Z

2021-06-08T12:22:18.000Z

suites/test_assembly_content.py

redhataccess/cheesecake-api-tests

9f2d255942bd23f93d0edb9d98be3acc360b7863

[ "MIT" ]

null

import sys from helpers import base import lemoncheesecake.api as lcc from lemoncheesecake.matching import * from helpers import constants import requests from fixtures import fixture from polling2 import poll from helpers import utilities import urllib.parse import os proxy_server = base.config_reader('proxy', 'proxy_server') proxies = { "http": proxy_server, "https": proxy_server, } sys.path.append("..") assembly_title_prefix = base.config_reader('test_repo', 'assembly_prefix') assembly_prefix = base.config_reader('test_repo', 'assembly_content_prefix') repo_name = base.config_reader('test_repo', 'repo_name') module_title_prefix = base.config_reader('test_repo', 'module_prefix') env = os.getenv('PANTHEON_ENV') @lcc.suite(description="Suite: Verify contents of published assembly", rank=4) class test_assembly_content: api_auth = lcc.inject_fixture("api_auth") path_for_assembly = "" request_url = "" @lcc.test("Verify response of assembly variant api for pantheon endpoints") def verify_assembly_content(self, api_auth, setup_test_products): # Publishing module included in assembly self.variant = utilities.read_variant_name_from_pantheon2config() lcc.log_info(str(self.variant)) self.variant = str(self.variant) self.path_for_module = utilities.select_nth_item_from_search_results(0, fixture.url, module_title_prefix + " Include", api_auth) if "/assemblies" in self.path_for_module: self.path_for_module = utilities.select_nth_item_from_search_results(2, fixture.url, module_title_prefix, api_auth) res, product_name_uri = utilities.add_metadata(fixture.url, self.path_for_module, self.variant, api_auth, setup_test_products, content_type="module") utilities.publish_content(fixture.url, self.path_for_module, self.variant, api_auth) module_uuid = utilities.fetch_uuid(fixture.url, self.path_for_module, self.variant, api_auth) published_module_url = fixture.url + "api/module/variant.json/" + module_uuid published_module_relative_url = "api/module/variant.json/" + module_uuid print("published module url: \n" + published_module_url) lcc.log_info("Published Module api endpoint: %s" % published_module_url) data_from_published_module = api_auth.get(published_module_url) print(data_from_published_module.json()) self.path_for_assembly = utilities.select_nth_item_from_search_results(0, fixture.url, assembly_prefix, api_auth) if "/modules" in self.path_for_assembly: self.path_for_assembly = utilities.select_nth_item_from_search_results(1, fixture.url, assembly_prefix, api_auth) res, product_name_uri = utilities.add_metadata(fixture.url, self.path_for_assembly, self.variant, api_auth, setup_test_products, content_type="assembly") # print(res.content) utilities.publish_content(fixture.url, self.path_for_assembly, self.variant, api_auth) assembly_uuid = utilities.fetch_uuid(fixture.url, self.path_for_assembly, self.variant, api_auth) published_assembly_url = fixture.url + "api/assembly/variant.json/" + assembly_uuid print("published assembly url: \n" + published_assembly_url) lcc.log_info("Published Assembly api endpoint: %s" % published_assembly_url) data_from_published_assembly = api_auth.get(published_assembly_url) print(data_from_published_assembly.content) check_that("The /api/assembly/variant.json/<assembly_uuid> endpoint for a published assembly", data_from_published_assembly.status_code, equal_to(200)) # print("Response from published assembly API endpoint: \n" + str(data_from_published_assembly.content)) check_that("The response is ", data_from_published_assembly.json()["message"], equal_to("Assembly Found")) check_that("The title of the assembly ", data_from_published_assembly.json()["assembly"]["title"], contains_string(assembly_prefix)) check_that("The status of the assembly ", data_from_published_assembly.json()["assembly"]["status"], equal_to("published")) # check_that("The uuid of the assembly", data_from_published_assembly.json()["assembly"]["uuid"], # equal_to(assembly_uuid)) check_that("The uuid of the assembly", data_from_published_assembly.json()["assembly"]["uuid"], equal_to(assembly_uuid)) check_that("The abstract of the assembly", data_from_published_assembly.json()["assembly"]["description"], equal_to(constants.assembly_abstract)) keywords = constants.assembly_searchkeywords.split(',') print(keywords) all_of(check_that("Search keywords", data_from_published_assembly.json()["assembly"]["search_keywords"], has_items(keywords))) check_that("The assembly type", data_from_published_assembly.json()["assembly"]["content_type"], equal_to("assembly")) # date_published and #date_modified test pending path = self.path_for_assembly.split("repositories/")[1] path = path + "/en_US/variants/" + self.variant check_that("The assembly url fragment", data_from_published_assembly.json()["assembly"]["assembly_url_fragment"], equal_to(path)) check_that("The view_uri", data_from_published_assembly.json()["assembly"]["view_uri"], equal_to( fixture.cp_url + "documentation/en-us/" + product_name_uri + "/" + constants.product_version_uri + "/guide/" + assembly_uuid)) check_that("The revision_id", data_from_published_assembly.json()["assembly"]["revision_id"], equal_to("released")) # print(data_from_published_assembly.json()["assembly"]["products"][0]["product_name"]) check_that("The product name url", data_from_published_assembly.json()["assembly"]["products"][0]["product_url_fragment"], equal_to(product_name_uri)) check_that("The product version", data_from_published_assembly.json()["assembly"]["products"][0]["product_version"], equal_to(constants.product_version)) lcc.log_info("Modules included from the API response: %s" % str( data_from_published_assembly.json()["assembly"]["modules_included"])) number_of_modules_included = len(data_from_published_assembly.json()["assembly"]["modules_included"]) check_that("Number of Modules included", number_of_modules_included, greater_than_or_equal_to(1)) relative_url = [] for i in range(number_of_modules_included): print(data_from_published_assembly.json()["assembly"]["modules_included"][i]["relative_url"]) relative_url.append(data_from_published_assembly.json()["assembly"]["modules_included"][i]["relative_url"]) check_that("Modules included", data_from_published_assembly.json()["assembly"]["modules_included"][i], all_of(has_entry("canonical_uuid"), has_entry("level_offset"), has_entry("module_uuid"), has_entry("title"), has_entry("url"), has_entry("pantheon_env"), has_entry("relative_url"))) check_that("Modules included-> pantheon_env", data_from_published_assembly.json()["assembly"]["modules_included"][i]["pantheon_env"], equal_to(env)) print(*relative_url) check_that("Relative url to", relative_url, has_item("/" + published_module_relative_url)) lcc.log_info("hasPart from the API response: %s" % str( data_from_published_assembly.json()["assembly"]["hasPart"])) number_of_modules_hasPart = len(data_from_published_assembly.json()["assembly"]["hasPart"]) check_that("Number of Modules in hasPart", number_of_modules_hasPart, greater_than_or_equal_to(1)) relative_url1 = [] for i in range(number_of_modules_hasPart): print(data_from_published_assembly.json()["assembly"]["hasPart"][i]["relative_url"]) relative_url1.append(data_from_published_assembly.json()["assembly"]["hasPart"][i]["relative_url"]) check_that("hasPart section ", data_from_published_assembly.json()["assembly"]["hasPart"][i], all_of(has_entry("canonical_uuid"), has_entry("level_offset"), has_entry("module_uuid"), has_entry("title"), has_entry("url"), has_entry("pantheon_env"), has_entry("relative_url"))) any_of(check_that("hasPart-> pantheon_env", data_from_published_assembly.json()["assembly"]["hasPart"][i]["pantheon_env"], equal_to(env))) print(*relative_url1) check_that("Relative url to", relative_url1, has_item("/" + published_module_relative_url)) @lcc.test("Verify response of assembly variant api behind akamai") def verify_assembly_content_behind_akamai(self, api_auth): assembly_uuid = utilities.fetch_uuid(fixture.url, self.path_for_assembly, self.variant, api_auth) published_assembly_url = fixture.behind_akamai_url + "api/assembly/variant.json/" + assembly_uuid print("published assembly url: \n" + published_assembly_url) lcc.log_info("Published Assembly api endpoint: %s" % published_assembly_url) data_from_published_assembly = api_auth.get(published_assembly_url, proxies = proxies) print(data_from_published_assembly.content) check_that("The /api/assembly/variant.json/<assembly_uuid> endpoint for a published assembly", data_from_published_assembly.status_code, equal_to(200)) # print("Response from published assembly API endpoint: \n" + str(data_from_published_assembly.content)) check_that("The response is ", data_from_published_assembly.json()["message"], equal_to("Assembly Found")) check_that("The title of the assembly ", data_from_published_assembly.json()["assembly"]["title"], contains_string(assembly_prefix)) check_that("The status of the assembly ", data_from_published_assembly.json()["assembly"]["status"], equal_to("published")) # check_that("The uuid of the assembly", data_from_published_assembly.json()["assembly"]["uuid"], # equal_to(assembly_uuid)) check_that("The uuid of the assembly", data_from_published_assembly.json()["assembly"]["uuid"], equal_to(assembly_uuid)) check_that("The abstract of the assembly", data_from_published_assembly.json()["assembly"]["description"], equal_to(constants.assembly_abstract)) keywords = constants.assembly_searchkeywords.split(',') print(keywords) all_of(check_that("Search keywords", data_from_published_assembly.json()["assembly"]["search_keywords"], has_items(keywords))) check_that("The assembly type", data_from_published_assembly.json()["assembly"]["content_type"], equal_to("assembly")) # date_published and #date_modified test pending path = self.path_for_assembly.split("repositories/")[1] path = path + "/en_US/variants/" + self.variant check_that("The assembly url fragment", data_from_published_assembly.json()["assembly"]["assembly_url_fragment"], equal_to(path)) check_that("The revision_id", data_from_published_assembly.json()["assembly"]["revision_id"], equal_to("released")) check_that("The product version", data_from_published_assembly.json()["assembly"]["products"][0]["product_version"], equal_to(constants.product_version)) lcc.log_info("Modules included from the API response: %s" % str( data_from_published_assembly.json()["assembly"]["modules_included"])) number_of_modules_included = len(data_from_published_assembly.json()["assembly"]["modules_included"]) check_that("Number of Modules included", number_of_modules_included, greater_than_or_equal_to(1)) relative_url = [] for i in range(number_of_modules_included): print(data_from_published_assembly.json()["assembly"]["modules_included"][i]["relative_url"]) relative_url.append(data_from_published_assembly.json()["assembly"]["modules_included"][i]["relative_url"]) check_that("Modules included", data_from_published_assembly.json()["assembly"]["modules_included"][i], all_of(has_entry("canonical_uuid"), has_entry("level_offset"), has_entry("module_uuid"), has_entry("title"), has_entry("url"), has_entry("pantheon_env"), has_entry("relative_url"))) check_that("Modules included-> pantheon_env", data_from_published_assembly.json()["assembly"]["modules_included"][i]["pantheon_env"], equal_to(env)) lcc.log_info("hasPart from the API response: %s" % str( data_from_published_assembly.json()["assembly"]["hasPart"])) number_of_modules_hasPart = len(data_from_published_assembly.json()["assembly"]["hasPart"]) check_that("Number of Modules in hasPart", number_of_modules_hasPart, greater_than_or_equal_to(1)) relative_url1 = [] for i in range(number_of_modules_hasPart): print(data_from_published_assembly.json()["assembly"]["hasPart"][i]["relative_url"]) relative_url1.append(data_from_published_assembly.json()["assembly"]["hasPart"][i]["relative_url"]) check_that("hasPart section ", data_from_published_assembly.json()["assembly"]["hasPart"][i], all_of(has_entry("canonical_uuid"), has_entry("level_offset"), has_entry("module_uuid"), has_entry("title"), has_entry("url"), has_entry("pantheon_env"), has_entry("relative_url"))) any_of(check_that("hasPart-> pantheon_env", data_from_published_assembly.json()["assembly"]["hasPart"][i]["pantheon_env"], equal_to(env))) @lcc.test("Verify response of assembly variant api for external proxy API") def verify_assembly_content_ext_proxy(self, api_auth): assembly_uuid = utilities.fetch_uuid(fixture.url, self.path_for_assembly, self.variant, api_auth) published_assembly_url = fixture.external_proxy_url+ "assembly/variant.json/" + assembly_uuid print("published assembly url: \n" + published_assembly_url) lcc.log_info("Published Assembly api endpoint: %s" % published_assembly_url) data_from_published_assembly = api_auth.get(published_assembly_url, proxies =proxies) print(data_from_published_assembly.content) check_that("The /api/assembly/variant.json/<assembly_uuid> endpoint for a published assembly", data_from_published_assembly.status_code, equal_to(200)) # print("Response from published assembly API endpoint: \n" + str(data_from_published_assembly.content)) check_that("The response is ", data_from_published_assembly.json()["message"], equal_to("Assembly Found")) check_that("The title of the assembly ", data_from_published_assembly.json()["assembly"]["title"], contains_string(assembly_prefix)) check_that("The status of the assembly ", data_from_published_assembly.json()["assembly"]["status"], equal_to("published")) # check_that("The uuid of the assembly", data_from_published_assembly.json()["assembly"]["uuid"], # equal_to(assembly_uuid)) check_that("The uuid of the assembly", data_from_published_assembly.json()["assembly"]["uuid"], equal_to(assembly_uuid)) check_that("The abstract of the assembly", data_from_published_assembly.json()["assembly"]["description"], equal_to(constants.assembly_abstract)) keywords = constants.assembly_searchkeywords.split(',') print(keywords) all_of(check_that("Search keywords", data_from_published_assembly.json()["assembly"]["search_keywords"], has_items(keywords))) check_that("The assembly type", data_from_published_assembly.json()["assembly"]["content_type"], equal_to("assembly")) # date_published and #date_modified test pending path = self.path_for_assembly.split("repositories/")[1] path = path + "/en_US/variants/" + self.variant check_that("The assembly url fragment", data_from_published_assembly.json()["assembly"]["assembly_url_fragment"], equal_to(path)) check_that("The revision_id", data_from_published_assembly.json()["assembly"]["revision_id"], equal_to("released")) check_that("The product version", data_from_published_assembly.json()["assembly"]["products"][0]["product_version"], equal_to(constants.product_version)) lcc.log_info("Modules included from the API response: %s" % str( data_from_published_assembly.json()["assembly"]["modules_included"])) number_of_modules_included = len(data_from_published_assembly.json()["assembly"]["modules_included"]) check_that("Number of Modules included", number_of_modules_included, greater_than_or_equal_to(1)) relative_url = [] for i in range(number_of_modules_included): print(data_from_published_assembly.json()["assembly"]["modules_included"][i]["relative_url"]) relative_url.append(data_from_published_assembly.json()["assembly"]["modules_included"][i]["relative_url"]) check_that("Modules included", data_from_published_assembly.json()["assembly"]["modules_included"][i], all_of(has_entry("canonical_uuid"), has_entry("level_offset"), has_entry("module_uuid"), has_entry("title"), has_entry("url"), has_entry("pantheon_env"), has_entry("relative_url"))) check_that("Modules included-> pantheon_env", data_from_published_assembly.json()["assembly"]["modules_included"][i]["pantheon_env"], equal_to(env)) lcc.log_info("hasPart from the API response: %s" % str( data_from_published_assembly.json()["assembly"]["hasPart"])) number_of_modules_hasPart = len(data_from_published_assembly.json()["assembly"]["hasPart"]) check_that("Number of Modules in hasPart", number_of_modules_hasPart, greater_than_or_equal_to(1)) relative_url1 = [] for i in range(number_of_modules_hasPart): print(data_from_published_assembly.json()["assembly"]["hasPart"][i]["relative_url"]) relative_url1.append(data_from_published_assembly.json()["assembly"]["hasPart"][i]["relative_url"]) check_that("hasPart section ", data_from_published_assembly.json()["assembly"]["hasPart"][i], all_of(has_entry("canonical_uuid"), has_entry("level_offset"), has_entry("module_uuid"), has_entry("title"), has_entry("url"), has_entry("pantheon_env"), has_entry("relative_url"))) any_of(check_that("hasPart-> pantheon_env", data_from_published_assembly.json()["assembly"]["hasPart"][i]["pantheon_env"], equal_to(env)))

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c8cd480865fcd013d9b416febff1ab138b4b861c

11,912

py

Python

tests/test_job.py

hotkit/mod-ngarn

e068c4ec5377e5c70cf0afba598afaee4ba380a3

[ "MIT" ]

3

2019-10-10T08:02:46.000Z

2022-01-04T16:21:33.000Z

tests/test_job.py

hotkit/mod-ngarn

e068c4ec5377e5c70cf0afba598afaee4ba380a3

[ "MIT" ]

5

2018-10-01T13:05:46.000Z

2019-03-17T19:09:09.000Z

tests/test_job.py

Proteus-tech/mod-ngarn

e068c4ec5377e5c70cf0afba598afaee4ba380a3

[ "MIT" ]

1

2019-02-27T07:18:07.000Z

import os from datetime import datetime from unittest import TestCase import asyncio import freezegun import pytest from mod_ngarn.connection import get_connection from mod_ngarn.utils import create_table from mod_ngarn.worker import Job, JobRunner from decimal import Decimal def sync_dummy_job(text): return text async def async_dummy_job(text): return text def raise_dummy_job(): raise KeyError() @pytest.mark.asyncio async def test_job_execute_builtin_success(): await create_table("public", "modngarn_job") cnx = await get_connection() job = Job(cnx, "public", "modngarn_job", "job-1", "sum", 1, [[1, 2]], {}) result = await job.execute() assert result == 3 await cnx.close() @pytest.mark.asyncio async def test_job_execute_sync_fn_success(): await create_table("public", "modngarn_job") cnx = await get_connection() job = Job( cnx, "public", "modngarn_job", "job-1", "tests.test_job.sync_dummy_job", 1, ["hello"], {}, ) result = await job.execute() assert result == "hello" await cnx.close() @pytest.mark.asyncio async def test_job_execute_async_fn_success(): await create_table("public", "modngarn_job") cnx = await get_connection() job = Job( cnx, "public", "modngarn_job", "job-1", "tests.test_job.async_dummy_job", 1, ["hello"], {}, ) result = await job.execute() assert result == "hello" await cnx.close() @pytest.mark.asyncio async def test_job_success_record_to_db(): queue_table = "public.modngarn_job" await create_table("public", "modngarn_job") cnx = await get_connection() await cnx.execute(f"TRUNCATE TABLE {queue_table};") await cnx.execute( """ INSERT INTO {queue_table} (id, fn_name, args) VALUES ('job-1', 'tests.test_job.async_dummy_job', '["hello"]') """.format( queue_table=queue_table ) ) job = Job( cnx, "public", "modngarn_job", "job-1", "tests.test_job.async_dummy_job", 0, ["hello"], {}, ) result = await job.execute() assert result == "hello" job = await cnx.fetchrow(f"SELECT * FROM {queue_table} WHERE id=$1", "job-1") assert job["result"] == "hello" await cnx.execute(f"TRUNCATE TABLE {queue_table};") await cnx.close() @pytest.mark.asyncio async def test_job_failed_record_to_db(): queue_table = "public.modngarn_job" await create_table("public", "modngarn_job") cnx = await get_connection() await cnx.execute(f"TRUNCATE TABLE {queue_table};") await cnx.execute( """ INSERT INTO {queue_table} (id, fn_name, args) VALUES ('job-2', 'tests.test_job.raise_dummy_job', '["hello"]') """.format( queue_table=queue_table ) ) job = Job( cnx, "public", "modngarn_job", "job-2", "tests.test_job.raise_dummy_job", 0 ) await job.execute() job_db = await cnx.fetchrow(f"SELECT * FROM {queue_table} WHERE id=$1", "job-2") assert job_db["result"] == None assert job_db["priority"] == 1 assert "KeyError" in job_db["reason"] assert "Traceback" in job_db["reason"] log_db = await cnx.fetchval( f"SELECT COUNT(*) FROM {queue_table}_error WHERE id=$1", "job-2" ) assert log_db == 1 job = Job( cnx, "public", "modngarn_job", "job-2", "tests.test_job.raise_dummy_job", 1 ) await job.execute() job_db = await cnx.fetchrow(f"SELECT * FROM {queue_table} WHERE id=$1", "job-2") assert job_db["result"] == None assert job_db["priority"] == 2 assert "KeyError" in job_db["reason"] assert "Traceback" in job_db["reason"] log_db = await cnx.fetchval( f"SELECT COUNT(*) FROM {queue_table}_error WHERE id=$1", "job-2" ) assert log_db == 2 await cnx.execute(f"TRUNCATE TABLE {queue_table};") await cnx.close() @freezegun.freeze_time("2018-01-01T12:00:00+00:00") @pytest.mark.asyncio async def test_job_failed_exponential_delay_job_based_on_priority(): queue_table = "public.modngarn_job" await create_table("public", "modngarn_job") cnx = await get_connection() await cnx.execute(f"TRUNCATE TABLE {queue_table};") await cnx.execute( """ INSERT INTO {queue_table} (id, fn_name, args) VALUES ('job-2', 'tests.test_job.raise_dummy_job', '["hello"]') """.format( queue_table=queue_table ) ) job = Job( cnx, "public", "modngarn_job", "job-2", "tests.test_job.raise_dummy_job", 0 ) # First failed, should delay 1 sec await job.execute() job_db = await cnx.fetchrow(f"SELECT * FROM {queue_table} WHERE id=$1", "job-2") assert job_db["priority"] == 1 assert job_db["scheduled"].isoformat() == "2018-01-01T12:00:01+00:00" # Second failed, should delay e^2 sec job.priority = job_db["priority"] await job.execute() job_db = await cnx.fetchrow(f"SELECT * FROM {queue_table} WHERE id=$1", "job-2") assert job_db["priority"] == 2 assert job_db["scheduled"].isoformat() == "2018-01-01T12:00:02.718282+00:00" # Third failed, should delay e^3 sec job.priority = job_db["priority"] await job.execute() job_db = await cnx.fetchrow(f"SELECT * FROM {queue_table} WHERE id=$1", "job-2") assert job_db["priority"] == 3 assert job_db["scheduled"].isoformat() == "2018-01-01T12:00:07.389056+00:00" # 10th failed, should delay e^10 sec job.priority = 10 await job.execute() job_db = await cnx.fetchrow(f"SELECT * FROM {queue_table} WHERE id=$1", "job-2") assert job_db["scheduled"].isoformat() == "2018-01-01T18:07:06.465795+00:00" # 21th failed, should be priority 21 job.priority = 21 await job.execute() job_db = await cnx.fetchrow(f"SELECT * FROM {queue_table} WHERE id=$1", "job-2") assert job_db["scheduled"].isoformat() == "2059-10-17T13:42:14.483215+00:00" # 22th failed, should be priority 21 job.priority = 22 await job.execute() job_db = await cnx.fetchrow(f"SELECT * FROM {queue_table} WHERE id=$1", "job-2") assert job_db["scheduled"].isoformat() == "2059-10-17T13:42:14.483215+00:00" await cnx.execute(f"TRUNCATE TABLE {queue_table};") await cnx.close() @freezegun.freeze_time("2018-01-01T12:00:00+00:00") @pytest.mark.asyncio async def test_job_failed_can_set_max_delay(): queue_table = "public.modngarn_job" await create_table("public", "modngarn_job") cnx = await get_connection() await cnx.execute(f"TRUNCATE TABLE {queue_table};") await cnx.execute( """ INSERT INTO {queue_table} (id, fn_name, args) VALUES ('job-2', 'tests.test_job.raise_dummy_job', '["hello"]') """.format( queue_table=queue_table ) ) job = Job( cnx, "public", "modngarn_job", "job-2", "tests.test_job.raise_dummy_job", 0, max_delay=1.5, ) # First failed, should delay 1 sec await job.execute() job_db = await cnx.fetchrow(f"SELECT * FROM {queue_table} WHERE id=$1", "job-2") assert job_db["priority"] == 1 assert job_db["scheduled"].isoformat() == "2018-01-01T12:00:01+00:00" # Second failed, should delay 1.5 sec job.priority = job_db["priority"] await job.execute() job_db = await cnx.fetchrow(f"SELECT * FROM {queue_table} WHERE id=$1", "job-2") assert job_db["priority"] == 2 assert job_db["scheduled"].isoformat() == "2018-01-01T12:00:01.500000+00:00" # Third failed, should delay 1.5 sec job.priority = job_db["priority"] await job.execute() job_db = await cnx.fetchrow(f"SELECT * FROM {queue_table} WHERE id=$1", "job-2") assert job_db["priority"] == 3 assert job_db["scheduled"].isoformat() == "2018-01-01T12:00:01.500000+00:00" # 10th failed, should delay 1.5 sec job.priority = 10 await job.execute() job_db = await cnx.fetchrow(f"SELECT * FROM {queue_table} WHERE id=$1", "job-2") assert job_db["scheduled"].isoformat() == "2018-01-01T12:00:01.500000+00:00" await cnx.execute(f"TRUNCATE TABLE {queue_table};") await cnx.close() @pytest.mark.asyncio async def test_job_runner_success_process(): queue_table = "public.modngarn_job" await create_table("public", "modngarn_job") cnx = await get_connection() await cnx.execute(f"TRUNCATE TABLE {queue_table};") await cnx.execute( """ INSERT INTO {queue_table} (id, fn_name, args) VALUES ('job-1', 'tests.test_job.async_dummy_job', '["hello"]') """.format( queue_table=queue_table ) ) job_runner = JobRunner() await job_runner.run("public", "modngarn_job", 1, None) job = await cnx.fetchrow(f"SELECT * FROM {queue_table} WHERE id=$1", "job-1") assert job["result"] == "hello" await cnx.execute(f"TRUNCATE TABLE {queue_table};") await cnx.close() @pytest.mark.asyncio async def test_job_runner_can_define_limit(): queue_table = "public.modngarn_job" await create_table("public", "modngarn_job") cnx = await get_connection() await cnx.execute(f'TRUNCATE TABLE "modngarn_job";') await cnx.execute( """INSERT INTO "modngarn_job" (id, fn_name, args) SELECT 'job-' || s, 'tests.test_job.async_dummy_job', '["hello"]' FROM generate_series(0, 100) s;""" ) job_runner = JobRunner() await job_runner.run("public", "modngarn_job", 10, None) total_processed = await cnx.fetchval( f'SELECT COUNT(*) FROM "modngarn_job" WHERE executed IS NOT NULL' ) assert total_processed == 10 await job_runner.run("public", "modngarn_job", 10, None) total_processed = await cnx.fetchval( f'SELECT COUNT(*) FROM "modngarn_job" WHERE executed IS NOT NULL' ) assert total_processed == 20 await cnx.execute(f'TRUNCATE TABLE "modngarn_job";') await cnx.close() @pytest.mark.asyncio async def test_job_notify_when_job_is_inserted(): queue_table = "public.modngarn_job" await create_table("public", "modngarn_job") cnx = await get_connection() await cnx.execute(f"TRUNCATE TABLE {queue_table};") q = asyncio.Queue() def listener(cnx, pid: int, channel: str, payload: str): q.put_nowait(channel) await cnx.add_listener("public_modngarn_job", listener) await cnx.execute( """ INSERT INTO {queue_table} (id, fn_name, args, reason) VALUES ('job-1', 'tests.test_job.async_dummy_job', '["hello"]', 'some error message') """.format( queue_table=queue_table ) ) assert q.get_nowait() == "public_modngarn_job" await cnx.execute(f"TRUNCATE TABLE {queue_table};") await cnx.close() @pytest.mark.asyncio async def test_job_runner_success_should_clear_error_msg(): queue_table = "public.modngarn_job" await create_table("public", "modngarn_job") cnx = await get_connection() await cnx.execute(f"TRUNCATE TABLE {queue_table};") await cnx.execute( """ INSERT INTO {queue_table} (id, fn_name, args, reason) VALUES ('job-1', 'tests.test_job.async_dummy_job', '["hello"]', 'some error message') """.format( queue_table=queue_table ) ) job_runner = JobRunner() await job_runner.run("public", "modngarn_job", 1, None) job = await cnx.fetchrow(f"SELECT * FROM {queue_table} WHERE id=$1", "job-1") assert job["result"] == "hello" assert job["reason"] is None await cnx.execute(f"TRUNCATE TABLE {queue_table};") await cnx.close() class TestExitFromJobRunner(TestCase): def async_test(f): def wrapper(*args, **kwargs): coro = asyncio.coroutine(f) future = coro(*args, **kwargs) loop = asyncio.get_event_loop() loop.run_until_complete(future) return wrapper

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null

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7

cd9d4a108d07191e55c13e4966c84ce2b98b3b83

15,566

py

Python

chunair/kicad-footprint-generator-master/scripts/TerminalBlock_WAGO/make_TerminalBlock_WAGO.py

speedypotato/chuni-lite

c8dda8428723f8c4f99075e7cbaa22a44cbc187d

[ "CC-BY-4.0" ]

2

2022-03-18T23:42:51.000Z

2022-03-19T15:31:34.000Z

chunair/kicad-footprint-generator-master/scripts/TerminalBlock_WAGO/make_TerminalBlock_WAGO.py

speedypotato/chuni-lite

c8dda8428723f8c4f99075e7cbaa22a44cbc187d

[ "CC-BY-4.0" ]

null

chunair/kicad-footprint-generator-master/scripts/TerminalBlock_WAGO/make_TerminalBlock_WAGO.py

speedypotato/chuni-lite

c8dda8428723f8c4f99075e7cbaa22a44cbc187d

[ "CC-BY-4.0" ]

null

#!/usr/bin/env python import sys import os import math # ensure that the kicad-footprint-generator directory is available #sys.path.append(os.environ.get('KIFOOTPRINTGENERATOR')) # enable package import from parent directory #sys.path.append("D:\hardware\KiCAD\kicad-footprint-generator") # enable package import from parent directory sys.path.append(os.path.join(sys.path[0],"..","..","kicad_mod")) # load kicad_mod path sys.path.append(os.path.join(sys.path[0],"..","..")) # load kicad_mod path sys.path.append(os.path.join(sys.path[0],"..","tools")) # load kicad_mod path from KicadModTree import * # NOQA from footprint_scripts_terminal_blocks import * if __name__ == '__main__': script_generated_note="script-generated using https://github.com/pointhi/kicad-footprint-generator/scripts/TerminalBlock_WAGO"; classname="TerminalBlock_WAGO" pins=[1,2,3,4,5,6,7,8,9,10,11,12,16,24] rm=7.5 package_height=15 leftbottom_offset=[2.75, 6.7, 3.75] ddrill=1.2 pad=[2,3] screw_diameter=2.2 bevel_height=[2.9] vsegment_lines_offset=[-1.25] opening=[2.9,2.3] opening_xoffset=1.25 opening_yoffset=1.45 opening_elliptic=True secondDrillDiameter=ddrill secondDrillOffset=[2.5,-5] secondDrillPad=pad secondHoleDiameter=[4,4.4] secondHoleOffset=[1.25,0] thirdHoleDiameter=[4,1] thirdHoleOffset=[1.25,0] fourthHoleDiameter=3#4 fourthHoleOffset=[1.25,-5.75] fifthHoleDiameter=0 fifthHoleOffset=[2.5,-0.75] secondEllipseSize=[0,0] secondEllipseOffset=[1.25,2.5] fabref_offset=[0,-1] nibbleSize=[] nibblePos=[] for p in pins: name="804-{0}".format(300+p); webpage=""; classname_description="Terminal Block WAGO {0}".format(name); footprint_name="TerminalBlock_WAGO_{0}_1x{2:02}_P{1:3.2f}mm_45Degree".format(name, rm, p) makeTerminalBlock45Degree(footprint_name=footprint_name, pins=p, rm=rm, package_height=package_height, leftbottom_offset=leftbottom_offset, ddrill=ddrill, pad=pad, vsegment_lines_offset=vsegment_lines_offset, opening=opening, opening_xoffset=opening_xoffset, opening_yoffset=opening_yoffset, opening_elliptic=opening_elliptic, bevel_height=bevel_height, secondHoleDiameter=secondHoleDiameter, secondHoleOffset=secondHoleOffset, thirdHoleDiameter=thirdHoleDiameter, thirdHoleOffset=thirdHoleOffset, fourthHoleDiameter=fourthHoleDiameter, fourthHoleOffset=fourthHoleOffset, fifthHoleDiameter=fifthHoleDiameter,fifthHoleOffset=fifthHoleOffset, secondDrillDiameter=secondDrillDiameter,secondDrillOffset=secondDrillOffset,secondDrillPad=secondDrillPad, secondEllipseSize=secondEllipseSize,secondEllipseOffset=secondEllipseOffset, nibbleSize=nibbleSize, nibblePos=nibblePos, fabref_offset=fabref_offset, tags_additional=[], lib_name="${KICAD6_3DMODEL_DIR}/"+classname, classname=classname, classname_description=classname_description, webpage=webpage, script_generated_note=script_generated_note) pins=[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,24] rm=5 package_height=15 leftbottom_offset=[2.75, 6.7, 3.75] ddrill=1.2 pad=[2,3] screw_diameter=2.2 bevel_height=[2.9] vsegment_lines_offset=[-1.25] opening=[2.9,2.3] opening_xoffset=1.25 opening_yoffset=1.45 opening_elliptic=True secondDrillDiameter=ddrill secondDrillOffset=[2.5,-5] secondDrillPad=pad secondHoleDiameter=[4,4.4] secondHoleOffset=[1.25,0] thirdHoleDiameter=[4,1] thirdHoleOffset=[1.25,0] fourthHoleDiameter=3#4 fourthHoleOffset=[1.25,-5.75] fifthHoleDiameter=0 fifthHoleOffset=[1.25,-0.75] secondEllipseSize=[0,0] secondEllipseOffset=[1.25,2.5] fabref_offset=[0,-1] nibbleSize=[] nibblePos=[] for p in pins: name="804-{0}".format(100+p); webpage=""; classname_description="Terminal Block WAGO {0}".format(name); footprint_name="TerminalBlock_WAGO_{0}_1x{2:02}_P{1:3.2f}mm_45Degree".format(name, rm, p) makeTerminalBlock45Degree(footprint_name=footprint_name, pins=p, rm=rm, package_height=package_height, leftbottom_offset=leftbottom_offset, ddrill=ddrill, pad=pad, vsegment_lines_offset=vsegment_lines_offset, opening=opening, opening_xoffset=opening_xoffset, opening_yoffset=opening_yoffset, opening_elliptic=opening_elliptic, bevel_height=bevel_height, secondHoleDiameter=secondHoleDiameter, secondHoleOffset=secondHoleOffset, thirdHoleDiameter=thirdHoleDiameter, thirdHoleOffset=thirdHoleOffset, fourthHoleDiameter=fourthHoleDiameter, fourthHoleOffset=fourthHoleOffset, fifthHoleDiameter=fifthHoleDiameter,fifthHoleOffset=fifthHoleOffset, secondDrillDiameter=secondDrillDiameter,secondDrillOffset=secondDrillOffset,secondDrillPad=secondDrillPad, secondEllipseSize=secondEllipseSize,secondEllipseOffset=secondEllipseOffset, nibbleSize=nibbleSize, nibblePos=nibblePos, fabref_offset=fabref_offset, tags_additional=[], lib_name="${KICAD6_3DMODEL_DIR}/"+classname, classname=classname, classname_description=classname_description, webpage=webpage, script_generated_note=script_generated_note) pins=[1,2,3,4,5,6,7,8,9,12,14,16,24,36,48] rm=5 package_height=14 leftbottom_offset=[3.5, 9, 3.8] ddrill=1.15 pad=[1.5,3] screw_diameter=2.2 bevel_height=[1,6.7,9.5] opening=[4,3.3] opening_xoffset=0.5 opening_yoffset=1.3#package_height-leftbottom_offset[1]-opening[1]/2 secondDrillDiameter=ddrill secondDrillOffset=[0,5] secondDrillPad=pad secondHoleDiameter=[5,14] secondHoleOffset=[0.5,2] thirdHoleDiameter=[4,1] thirdHoleOffset=[0.5,3.2] fourthHoleDiameter=[1,2.5] fourthHoleOffset=[0.5,-3.4] fabref_offset=[0,-1] nibbleSize=[] nibblePos=[] for p in pins: name="236-{0}".format(100+p); webpage=""; classname_description="Terminal Block WAGO {0}".format(name); footprint_name="TerminalBlock_WAGO_{0}_1x{2:02}_P{1:3.2f}mm_45Degree".format(name, rm, p) makeTerminalBlock45Degree(footprint_name=footprint_name, pins=p, rm=rm, package_height=package_height, leftbottom_offset=leftbottom_offset, ddrill=ddrill, pad=pad, opening=opening, opening_xoffset=opening_xoffset, opening_yoffset=opening_yoffset, bevel_height=bevel_height, secondHoleDiameter=secondHoleDiameter, secondHoleOffset=secondHoleOffset, thirdHoleDiameter=thirdHoleDiameter, thirdHoleOffset=thirdHoleOffset, fourthHoleDiameter=fourthHoleDiameter, fourthHoleOffset=fourthHoleOffset, nibbleSize=nibbleSize, nibblePos=nibblePos, fabref_offset=fabref_offset, tags_additional=[], lib_name="${KICAD6_3DMODEL_DIR}/"+classname, classname=classname, classname_description=classname_description, webpage=webpage, script_generated_note=script_generated_note) name="236-{0}".format(400+p); webpage=""; classname_description="Terminal Block WAGO {0}".format(name); footprint_name="TerminalBlock_WAGO_{0}_1x{2:02}_P{1:3.2f}mm_45Degree".format(name, rm, p) makeTerminalBlock45Degree(footprint_name=footprint_name, pins=p, rm=rm, package_height=package_height, leftbottom_offset=leftbottom_offset, ddrill=ddrill, pad=pad, opening=opening, opening_xoffset=opening_xoffset, opening_yoffset=opening_yoffset, bevel_height=bevel_height, secondHoleDiameter=secondHoleDiameter, secondHoleOffset=secondHoleOffset, thirdHoleDiameter=thirdHoleDiameter, thirdHoleOffset=thirdHoleOffset, fourthHoleDiameter=fourthHoleDiameter, fourthHoleOffset=fourthHoleOffset, secondDrillDiameter=secondDrillDiameter,secondDrillOffset=secondDrillOffset,secondDrillPad=secondDrillPad, nibbleSize=nibbleSize, nibblePos=nibblePos, fabref_offset=fabref_offset, tags_additional=[], lib_name="${KICAD6_3DMODEL_DIR}/"+classname, classname=classname, classname_description=classname_description, webpage=webpage, script_generated_note=script_generated_note) pins=[1,2,3,4,5,6,7,8,9,12,16,24] rm=7.5 package_height=14 leftbottom_offset=[3.5, 9, 6.3] ddrill=1.15 pad=[1.5,3] screw_diameter=2.2 bevel_height=[1,6.7,9.5] opening=[4,3.3] opening_xoffset=0.5 opening_yoffset=1.3#package_height-leftbottom_offset[1]-opening[1]/2 secondDrillDiameter=ddrill secondDrillOffset=[0,5] secondDrillPad=pad secondHoleDiameter=[rm,package_height] secondHoleOffset=[1.75,2] thirdHoleDiameter=[4,1] thirdHoleOffset=[0.5,3.2] fourthHoleDiameter=1,2.5 fourthHoleOffset=[0.5,-3.4] fabref_offset=[0,-1] nibbleSize=[] nibblePos=[] for p in pins: name="236-{0}".format(200+p); webpage=""; classname_description="Terminal Block WAGO {0}".format(name); footprint_name="TerminalBlock_WAGO_{0}_1x{2:02}_P{1:3.2f}mm_45Degree".format(name, rm, p) makeTerminalBlock45Degree(footprint_name=footprint_name, pins=p, rm=rm, package_height=package_height, leftbottom_offset=leftbottom_offset, ddrill=ddrill, pad=pad, opening=opening, opening_xoffset=opening_xoffset, opening_yoffset=opening_yoffset, bevel_height=bevel_height, secondHoleDiameter=secondHoleDiameter, secondHoleOffset=secondHoleOffset, thirdHoleDiameter=thirdHoleDiameter, thirdHoleOffset=thirdHoleOffset, fourthHoleDiameter=fourthHoleDiameter, fourthHoleOffset=fourthHoleOffset, nibbleSize=nibbleSize, nibblePos=nibblePos, fabref_offset=fabref_offset, tags_additional=[], lib_name="${KICAD6_3DMODEL_DIR}/"+classname, classname=classname, classname_description=classname_description, webpage=webpage, script_generated_note=script_generated_note) name="236-{0}".format(500+p); webpage=""; classname_description="Terminal Block WAGO {0}".format(name); footprint_name="TerminalBlock_WAGO_{0}_1x{2:02}_P{1:3.2f}mm_45Degree".format(name, rm, p) makeTerminalBlock45Degree(footprint_name=footprint_name, pins=p, rm=rm, package_height=package_height, leftbottom_offset=leftbottom_offset, ddrill=ddrill, pad=pad, opening=opening, opening_xoffset=opening_xoffset, opening_yoffset=opening_yoffset, bevel_height=bevel_height, secondHoleDiameter=secondHoleDiameter, secondHoleOffset=secondHoleOffset, thirdHoleDiameter=thirdHoleDiameter, thirdHoleOffset=thirdHoleOffset, fourthHoleDiameter=fourthHoleDiameter, fourthHoleOffset=fourthHoleOffset, secondDrillDiameter=secondDrillDiameter,secondDrillOffset=secondDrillOffset,secondDrillPad=secondDrillPad, nibbleSize=nibbleSize, nibblePos=nibblePos, fabref_offset=fabref_offset, tags_additional=[], lib_name="${KICAD6_3DMODEL_DIR}/"+classname, classname=classname, classname_description=classname_description, webpage=webpage, script_generated_note=script_generated_note) pins=[1,2,3,4,5,6,8,9,12,16,24] rm=10 package_height=14 leftbottom_offset=[3.5, 9, 8.8] ddrill=1.15 pad=[1.5,3] screw_diameter=2.2 bevel_height=[1,6.7,9.5] opening=[4,3.3] opening_xoffset=0.5 opening_yoffset=1.3#package_height-leftbottom_offset[1]-opening[1]/2 secondDrillDiameter=ddrill secondDrillOffset=[0,5] secondDrillPad=pad secondHoleDiameter=[rm,package_height] secondHoleOffset=[3,2] thirdHoleDiameter=[4,1] thirdHoleOffset=[0.5,3.2] fourthHoleDiameter=1,2.5 fourthHoleOffset=[0.5,-3.4] fabref_offset=[0,-1] nibbleSize=[] nibblePos=[] for p in pins: name="236-{0}".format(300+p); webpage=""; classname_description="Terminal Block WAGO {0}".format(name); footprint_name="TerminalBlock_WAGO_{0}_1x{2:02}_P{1:3.2f}mm_45Degree".format(name, rm, p) makeTerminalBlock45Degree(footprint_name=footprint_name, pins=p, rm=rm, package_height=package_height, leftbottom_offset=leftbottom_offset, ddrill=ddrill, pad=pad, opening=opening, opening_xoffset=opening_xoffset, opening_yoffset=opening_yoffset, bevel_height=bevel_height, secondHoleDiameter=secondHoleDiameter, secondHoleOffset=secondHoleOffset, thirdHoleDiameter=thirdHoleDiameter, thirdHoleOffset=thirdHoleOffset, fourthHoleDiameter=fourthHoleDiameter, fourthHoleOffset=fourthHoleOffset, nibbleSize=nibbleSize, nibblePos=nibblePos, fabref_offset=fabref_offset, tags_additional=[], lib_name="${KICAD6_3DMODEL_DIR}/"+classname, classname=classname, classname_description=classname_description, webpage=webpage, script_generated_note=script_generated_note) name="236-{0}".format(600+p); webpage=""; classname_description="Terminal Block WAGO {0}".format(name); footprint_name="TerminalBlock_WAGO_{0}_1x{2:02}_P{1:3.2f}mm_45Degree".format(name, rm, p) makeTerminalBlock45Degree(footprint_name=footprint_name, pins=p, rm=rm, package_height=package_height, leftbottom_offset=leftbottom_offset, ddrill=ddrill, pad=pad, opening=opening, opening_xoffset=opening_xoffset, opening_yoffset=opening_yoffset, bevel_height=bevel_height, secondHoleDiameter=secondHoleDiameter, secondHoleOffset=secondHoleOffset, thirdHoleDiameter=thirdHoleDiameter, thirdHoleOffset=thirdHoleOffset, fourthHoleDiameter=fourthHoleDiameter, fourthHoleOffset=fourthHoleOffset, secondDrillDiameter=secondDrillDiameter,secondDrillOffset=secondDrillOffset,secondDrillPad=secondDrillPad, nibbleSize=nibbleSize, nibblePos=nibblePos, fabref_offset=fabref_offset, tags_additional=[], lib_name="${KICAD6_3DMODEL_DIR}/"+classname, classname=classname, classname_description=classname_description, webpage=webpage, script_generated_note=script_generated_note)

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false

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null

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1

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1

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null

0

7

cdcca8d098bd7962b96802f2c2b22bbb519e3c6f

184

py

Python

dev_blog/settings/__init__.py

kylejuliandev/dev_blog_assignment

272466cb591f9b45fb81c2a42e86b25bff3cd9ad

[ "MIT" ]

null

dev_blog/settings/__init__.py

kylejuliandev/dev_blog_assignment

272466cb591f9b45fb81c2a42e86b25bff3cd9ad

[ "MIT" ]

null

dev_blog/settings/__init__.py

kylejuliandev/dev_blog_assignment

272466cb591f9b45fb81c2a42e86b25bff3cd9ad

[ "MIT" ]

null

from .base import * if os.environ.get('ENVIRONMENT') == 'prod': from .prod import * elif os.environ.get('ENVIRONMENT') == 'test': from .test import * else: from .dev import *

23

45

0.646739

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4.76

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true

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null

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1

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1

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7

b5211ac43f6b42a738f4c82f6feaae39f370d4ce

79

py

Python

code/dk-iris-pipeline/airflow_home/src/deploy/__init__.py

dushyantkhosla/airflow4ds

b5ae213f7169c54d31f4eca58d235ec6b09fd56f

[ "MIT" ]

13

2019-01-15T14:42:58.000Z

2021-11-10T07:29:36.000Z

code/dk-iris-pipeline/airflow_home/src/deploy/__init__.py

dushyantkhosla/airflow4ds

b5ae213f7169c54d31f4eca58d235ec6b09fd56f

[ "MIT" ]

1

2018-10-03T12:52:56.000Z

code/dk-iris-pipeline/airflow_home/src/deploy/__init__.py

dushyantkhosla/airflow4ds

b5ae213f7169c54d31f4eca58d235ec6b09fd56f

[ "MIT" ]

3

2020-04-21T14:55:39.000Z

2021-04-29T15:42:00.000Z

from .from_api import get_prediction from .for_api import generate_random_iris

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b5387bb9d8d682c16b9514e44cee44c5b6e9a050

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py

Python

tests/test_commandline.py

zhouyangnk/Montreal-Forced-Aligner

4f8733409e79a50744616921a04fccf115e8af6f

[ "MIT" ]

null

tests/test_commandline.py

zhouyangnk/Montreal-Forced-Aligner

4f8733409e79a50744616921a04fccf115e8af6f

[ "MIT" ]

null

tests/test_commandline.py

zhouyangnk/Montreal-Forced-Aligner

4f8733409e79a50744616921a04fccf115e8af6f

[ "MIT" ]

null

import os import pytest from aligner.command_line.align import run_align_corpus, DummyArgs from aligner.command_line.train_and_align import align_corpus as train_and_align_corpus from aligner.command_line.validate import validate_corpus from aligner.exceptions import PronunciationAcousticMismatchError def assert_export_exist(old_directory, new_directory): for root, dirs, files in os.walk(old_directory): new_root = root.replace(old_directory, new_directory) for d in dirs: assert (os.path.exists(os.path.join(new_root, d))) for f in files: if not f.endswith('.wav'): continue new_f = f.replace('.wav', '.TextGrid') assert (os.path.exists(os.path.join(new_root, new_f))) def test_train_large_prosodylab(large_prosodylab_format_directory, large_dataset_dictionary, prosodylab_output_directory, prosodylab_output_model_path, temp_dir, basic_train_config, skip_large): if skip_large: pytest.skip('Large testsets disabled') args = DummyArgs() args.num_jobs = 2 args.clean = True args.corpus_directory = large_prosodylab_format_directory args.dictionary_path = large_dataset_dictionary args.output_directory = prosodylab_output_directory args.output_model_path = prosodylab_output_model_path args.temp_directory = temp_dir args.config_path = basic_train_config train_and_align_corpus(args) # assert_export_exist(large_prosodylab_format_directory, prosodylab_output_directory) assert (os.path.exists(args.output_model_path)) train_and_align_corpus(args) def test_align_basic(basic_corpus_dir, sick_dict_path, generated_dir, large_dataset_dictionary, temp_dir, basic_align_config, english_acoustic_model): args = DummyArgs() args.acoustic_model_path = 'english' args.corpus_directory = basic_corpus_dir args.dictionary_path = sick_dict_path args.output_directory = os.path.join(generated_dir, 'basic_output') args.quiet = True args.clean = True args.temp_directory = temp_dir args.config_path = basic_align_config with pytest.raises(PronunciationAcousticMismatchError): run_align_corpus(args) args.acoustic_model_path = 'english' args.corpus_directory = basic_corpus_dir args.dictionary_path = large_dataset_dictionary args.output_directory = os.path.join(generated_dir, 'basic_output') run_align_corpus(args) def test_nnet_export_model(large_prosodylab_format_directory, config_directory, generated_dir, large_dataset_dictionary, temp_dir): args = DummyArgs() args.debug = True args.clean = True args.config_path = os.path.join(config_directory, 'long_nnet_train.yaml') args.output_model_path = os.path.join(generated_dir, 'nnet_test_model.zip') args.corpus_directory = large_prosodylab_format_directory args.dictionary_path = large_dataset_dictionary args.output_directory = os.path.join(generated_dir, 'nnet_basic_output_selftrained_outputting_model3') args.temp_directory = temp_dir train_and_align_corpus(args) def test_nnet_use_model(basic_corpus_dir, generated_dir, large_dataset_dictionary, temp_dir): args = DummyArgs() args.debug = True args.clean = True args.acoustic_model_path = os.path.join(generated_dir, 'nnet_test_model.zip') args.corpus_directory = basic_corpus_dir args.dictionary_path = large_dataset_dictionary args.output_directory = os.path.join(generated_dir, 'nnet_basic_output') args.temp_directory = temp_dir run_align_corpus(args) def test_align_basic_errors(basic_corpus_dir, large_dataset_dictionary, generated_dir, temp_dir): args = DummyArgs() args.quiet = True args.clean = True args.acoustic_model_path = 'english' args.corpus_directory = basic_corpus_dir args.dictionary_path = large_dataset_dictionary args.output_directory = os.path.join(generated_dir, 'basic_output') args.temp_directory = temp_dir run_align_corpus(args) def test_align_basic_debug(basic_corpus_dir, large_dataset_dictionary, generated_dir, temp_dir): args = DummyArgs() args.debug = True args.quiet = True args.clean = True args.acoustic_model_path = 'english' args.corpus_directory = basic_corpus_dir args.dictionary_path = large_dataset_dictionary args.output_directory = os.path.join(generated_dir, 'basic_output') args.temp_directory = temp_dir run_align_corpus(args) def test_align_large_prosodylab(large_prosodylab_format_directory, prosodylab_output_directory, large_dataset_dictionary, temp_dir, basic_align_config, skip_large): if skip_large: pytest.skip('Large testsets disabled') args = DummyArgs() args.quiet = True args.clean = True args.acoustic_model_path = 'english' args.corpus_directory = large_prosodylab_format_directory args.dictionary_path = large_dataset_dictionary args.output_directory = prosodylab_output_directory args.temp_directory = temp_dir args.config_path = basic_align_config run_align_corpus(args) # assert_export_exist(large_prosodylab_format_directory, prosodylab_output_directory) def test_train_single_speaker_prosodylab(single_speaker_prosodylab_format_directory, large_dataset_dictionary, prosodylab_output_directory, prosodylab_output_model_path, temp_dir, basic_train_config, skip_large): if skip_large: pytest.skip('Large testsets disabled') args = DummyArgs() args.num_jobs = 2 args.clean = True args.temp_directory = temp_dir args.corpus_directory = single_speaker_prosodylab_format_directory args.dictionary_path = large_dataset_dictionary args.output_directory = prosodylab_output_directory args.output_model_path = prosodylab_output_model_path args.config_path = basic_train_config train_and_align_corpus(args) # assert_export_exist(single_speaker_prosodylab_format_directory, prosodylab_output_directory) assert (os.path.exists(args.output_model_path)) ## TEXTGRID def test_align_large_textgrid(large_textgrid_format_directory, textgrid_output_directory, large_dataset_dictionary, temp_dir, basic_align_config, skip_large): if skip_large: pytest.skip('Large testsets disabled') args = DummyArgs() args.clean = True args.acoustic_model_path = 'english' args.corpus_directory = large_textgrid_format_directory args.output_directory = textgrid_output_directory args.dictionary_path = large_dataset_dictionary args.temp_directory = temp_dir args.config_path = basic_align_config run_align_corpus(args) # assert_export_exist(large_textgrid_format_directory, textgrid_output_directory) def test_train_large_textgrid(large_textgrid_format_directory, large_dataset_dictionary, textgrid_output_directory, textgrid_output_model_path, temp_dir, basic_train_config, skip_large): if skip_large: pytest.skip('Large testsets disabled') args = DummyArgs() args.num_jobs = 2 args.clean = True args.corpus_directory = large_textgrid_format_directory args.dictionary_path = large_dataset_dictionary args.output_directory = textgrid_output_directory args.output_model_path = textgrid_output_model_path args.temp_directory = temp_dir args.config_path = basic_train_config train_and_align_corpus(args) # assert_export_exist(large_textgrid_format_directory, textgrid_output_directory) assert (os.path.exists(args.output_model_path))

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null

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7

b538c60523c61080e42bd1aca1be040e5a7166aa

167

py

Python

succolib/__init__.py

mattiasoldani/succolib

95581fb9e4fabcc6d4232a63f5e92df49aab939a

[ "MIT" ]

null

succolib/__init__.py

mattiasoldani/succolib

95581fb9e4fabcc6d4232a63f5e92df49aab939a

[ "MIT" ]

13

2020-06-23T08:57:58.000Z

2022-03-25T16:11:39.000Z

succolib/__init__.py

mattiasoldani/succolib

95581fb9e4fabcc6d4232a63f5e92df49aab939a

[ "MIT" ]

null

from .io.__init__ import * from .math_tools.__init__ import * from .tracking.__init__ import * from .statistics.__init__ import * from .visualisation.__init__ import *

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7

b54a86825f5f33024256d1b0c2b5b9a33b3458e9

229

py

Python

referencing/search.py

rsbyrne/thesis

44689b1d06c5b08fd44054313d7a6148b0e44a24

[ "MIT" ]

null

referencing/search.py

rsbyrne/thesis

44689b1d06c5b08fd44054313d7a6148b0e44a24

[ "MIT" ]

null

referencing/search.py

rsbyrne/thesis

44689b1d06c5b08fd44054313d7a6148b0e44a24

[ "MIT" ]

1

2021-06-10T14:35:54.000Z

if __name__ == '__main__': import sys from searchengine import get_searchengine search = get_searchengine() search(sys.argv[1]) else: from .searchengine import get_searchengine search = get_searchengine()

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null

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9

b57b137006caeb2b445212463c3b52537f53d93c

142

py

Python

thermo_int/__init__.py

JunboLu/CP2K_kit

0950f37f253c3f90d6a0539c57f1be1045e7317d

[ "Apache-2.0" ]

16

2021-04-19T03:40:32.000Z

2022-02-21T12:53:33.000Z

thermo_int/__init__.py

JunboLu/CP2K_kit

0950f37f253c3f90d6a0539c57f1be1045e7317d

[ "Apache-2.0" ]

null

thermo_int/__init__.py

JunboLu/CP2K_kit

0950f37f253c3f90d6a0539c57f1be1045e7317d

[ "Apache-2.0" ]

2

2021-11-28T02:55:31.000Z

2022-02-21T12:54:52.000Z

from CP2K_kit.thermo_int import check_thermo_int from CP2K_kit.thermo_int import constraint_md from CP2K_kit.thermo_int import mix_force_eval

35.5

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8

b5860500a13437b409cd201c99fd5d9f856d3b7e

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py

Python

resources/__init__.py

fellipeh/imoveis

c7260621d2982631cfc003d6922ae7c6e0454aab

[ "MIT" ]

null

resources/__init__.py

fellipeh/imoveis

c7260621d2982631cfc003d6922ae7c6e0454aab

[ "MIT" ]

null

resources/__init__.py

fellipeh/imoveis

c7260621d2982631cfc003d6922ae7c6e0454aab

[ "MIT" ]

null

# -*- coding: utf-8 -*- from .users import UserLogin, UserLogoutAccess, UserLogoutRefresh, UserRegistration, AllUsers, TokenRefresh from .items import Items __all__ = ['UserLogin', 'UserLogoutAccess', 'UserLogoutRefresh', 'UserRegistration', 'AllUsers', 'TokenRefresh', 'Items' ]

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null

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7

a9a18c1aa3b94044a5c4900609ce1db9cfd6edb9

2,011

py

Python

wcoa/migrations/0009_auto_20190725_2314.py

Ecotrust/wcoa

21501677f161b2a3a718dab547b7c1c567efe729

[ "MIT" ]

1

2019-11-30T22:29:23.000Z

wcoa/migrations/0009_auto_20190725_2314.py

Ecotrust/wcoa

21501677f161b2a3a718dab547b7c1c567efe729

[ "MIT" ]

13

2019-08-23T03:22:09.000Z

2021-12-09T00:46:44.000Z

wcoa/migrations/0009_auto_20190725_2314.py

Ecotrust/wcoa

21501677f161b2a3a718dab547b7c1c567efe729

[ "MIT" ]

1

2019-11-30T22:29:28.000Z

# Generated by Django 2.2.3 on 2019-07-25 23:14 from django.db import migrations import wagtail.core.blocks import wagtail.core.fields import wagtail.images.blocks class Migration(migrations.Migration): dependencies = [ ('wcoa', '0008_auto_20190725_2313'), ] operations = [ migrations.AlterField( model_name='connectpage', name='cta_list', field=wagtail.core.fields.StreamField([('connection', wagtail.core.blocks.StructBlock([('cta_title', wagtail.core.blocks.CharBlock()), ('cta_content', wagtail.core.blocks.RichTextBlock()), ('cta_link', wagtail.core.blocks.URLBlock(label='URL', required=False)), ('width', wagtail.core.blocks.IntegerBlock(help_text='Number of columns to span out of 12 (e.g., input of 3 would mean give this a width of 3 out of the 12 (25%))', max_value=12, min_value=0, required=False)), ('background_color', wagtail.core.blocks.ChoiceBlock(choices=[('blue', 'Blue'), ('green', 'Green')], icon='color', required=False)), ('background_image', wagtail.images.blocks.ImageChooserBlock(required=False))])), ('details', wagtail.core.blocks.RichTextBlock())]), ), migrations.AlterField( model_name='ctapage', name='body', field=wagtail.core.fields.StreamField([('item', wagtail.core.blocks.StructBlock([('cta_title', wagtail.core.blocks.CharBlock()), ('cta_content', wagtail.core.blocks.RichTextBlock()), ('cta_link', wagtail.core.blocks.URLBlock(label='URL', required=False)), ('width', wagtail.core.blocks.IntegerBlock(help_text='Number of columns to span out of 12 (e.g., input of 3 would mean give this a width of 3 out of the 12 (25%))', max_value=12, min_value=0, required=False)), ('background_color', wagtail.core.blocks.ChoiceBlock(choices=[('blue', 'Blue'), ('green', 'Green')], icon='color', required=False)), ('background_image', wagtail.images.blocks.ImageChooserBlock(required=False))])), ('details', wagtail.core.blocks.RichTextBlock())]), ), ]

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null

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7

8d7abc78638351a573291a295313c787a2488c28

132

py

Python

02/01/capitalize.py

pylangstudy/201708

126b1af96a1d1f57522d5a1d435b58597bea2e57

[ "CC0-1.0" ]

null

02/01/capitalize.py

pylangstudy/201708

126b1af96a1d1f57522d5a1d435b58597bea2e57

[ "CC0-1.0" ]

39

2017-07-31T22:54:01.000Z

2017-08-31T00:19:03.000Z

02/01/capitalize.py

pylangstudy/201708

126b1af96a1d1f57522d5a1d435b58597bea2e57

[ "CC0-1.0" ]

null

#最初の文字を大文字にし、残りを小文字に print('abcdefg'.capitalize()) print('ABCDEFG'.capitalize()) print('abcdefg'.upper()) print('ABCDEFG'.lower())

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0

null

0

1

0

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7

a5ce64e9c997d941cd9bbb6842b337d6714054bd

122

py

Python

test.py

benokan/Malware_Detection_ML

5ddd60f12a65ae554b07dbc34c00149f9f81b58b

[ "MIT" ]

null

test.py

benokan/Malware_Detection_ML

5ddd60f12a65ae554b07dbc34c00149f9f81b58b

[ "MIT" ]

null

test.py

benokan/Malware_Detection_ML

5ddd60f12a65ae554b07dbc34c00149f9f81b58b

[ "MIT" ]

null

from os.path import isfile, join import numpy as np import sys from os import listdir from os.path import isfile, join

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7

57064b848c6f165e8fb2c833511efef2fbaefb84

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py

Python

tests/test_pcposit.py

xman/sgposit

d538b54cb109a4a6f58a4a53188599a17faec701

[ "MIT" ]

14

2018-02-18T10:04:34.000Z

2021-11-14T17:15:22.000Z

tests/test_pcposit.py

xman/sgposit

d538b54cb109a4a6f58a4a53188599a17faec701

[ "MIT" ]

6

2018-03-11T02:56:17.000Z

2019-11-23T10:29:19.000Z

tests/test_pcposit.py

xman/sgposit

d538b54cb109a4a6f58a4a53188599a17faec701

[ "MIT" ]

5

2018-01-11T13:18:02.000Z

2019-11-20T10:07:09.000Z

# MIT License # # Copyright (c) 2018 SpeedGo Computing # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in all # copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE # SOFTWARE. import unittest from sgposit import coder from sgposit.pcposit import PCPosit class TestPCPosit(unittest.TestCase): def setUp(self): self.posit_n6e2_m1o16_bits = 0x38 self.posit_n6e2_m1o2_bits = 0x32 self.posit_n6e2_m1o64_bits = 0x3A self.posit_n6e2_m3o2_bits = 0x2F self.posit_n6e2_m3o4_bits = 0x31 self.posit_n6e2_m3o8_bits = 0x33 self.posit_n6e2_m3o16_bits = 0x35 self.posit_n6e2_1_bits = 0x10 self.posit_n6e2_1o2_bits = 0x0E self.posit_n6e2_1o4_bits = 0x0C self.posit_n6e2_1o8_bits = 0x0A self.posit_n6e2_2_bits = 0x12 self.posit_n6e2_3_bits = 0x13 self.posit_n6e2_3o2_bits = 0x11 self.posit_n6e2_3o4_bits = 0x0F self.posit_n6e2_3o16_bits = 0x0B self.posit_n6e2_3o8_bits = 0x0D self.posit_n6e2_cinf_bits = 0x20 def tearDown(self): pass def run_posit_op(self, abits=None, op_str=None, bbits=None, ref_cbits=None, nbits=None, es=None): a = PCPosit(abits, nbits=nbits, es=es, mode='bits') b = PCPosit(bbits, nbits=nbits, es=es, mode='bits') c = None if op_str == '+': c = a + b elif op_str == '-': c = a - b elif op_str == '*': c = a * b elif op_str == '/': c = a / b elif op_str == 'u-': c = -a else: raise NotImplementedError("op={}".format(op_str)) cbits = coder.encode_posit_binary(c.rep) self.assertEqual(cbits, ref_cbits) def test_add_simple(self): self.run_posit_op(self.posit_n6e2_3o2_bits, '+', self.posit_n6e2_3o2_bits, self.posit_n6e2_3_bits, 6, 2) self.run_posit_op(self.posit_n6e2_1o4_bits, '+', self.posit_n6e2_3o4_bits, self.posit_n6e2_1_bits, 6, 2) self.run_posit_op(self.posit_n6e2_1o8_bits, '+', self.posit_n6e2_m3o16_bits, self.posit_n6e2_m1o16_bits, 6, 2) self.run_posit_op(self.posit_n6e2_3o8_bits, '+', self.posit_n6e2_3o4_bits, self.posit_n6e2_1_bits, 6, 2) self.run_posit_op(self.posit_n6e2_3o2_bits, '+', self.posit_n6e2_1_bits, self.posit_n6e2_2_bits, 6, 2) def test_sub_simple(self): self.run_posit_op(self.posit_n6e2_3o2_bits, '-', self.posit_n6e2_3o2_bits, 0, 6, 2) self.run_posit_op(self.posit_n6e2_1o4_bits, '-', self.posit_n6e2_3o4_bits, self.posit_n6e2_m1o2_bits, 6, 2) self.run_posit_op(self.posit_n6e2_1o8_bits, '-', self.posit_n6e2_m3o16_bits, self.posit_n6e2_1o4_bits, 6, 2) # result: 5/16 ~> 1/4 self.run_posit_op(self.posit_n6e2_3o8_bits, '-', self.posit_n6e2_3o4_bits, self.posit_n6e2_m3o8_bits, 6, 2) self.run_posit_op(self.posit_n6e2_3o2_bits, '-', self.posit_n6e2_1_bits, self.posit_n6e2_1o2_bits, 6, 2) def test_neg_simple(self): self.run_posit_op(self.posit_n6e2_3o2_bits, 'u-', None, self.posit_n6e2_m3o2_bits, 6, 2) self.run_posit_op(self.posit_n6e2_m3o16_bits, 'u-', None, self.posit_n6e2_3o16_bits, 6, 2) def test_mul_simple(self): self.run_posit_op(self.posit_n6e2_3o2_bits, '*', self.posit_n6e2_3o2_bits, self.posit_n6e2_2_bits, 6, 2) self.run_posit_op(self.posit_n6e2_1o4_bits, '*', self.posit_n6e2_3o4_bits, self.posit_n6e2_3o16_bits, 6, 2) self.run_posit_op(self.posit_n6e2_1o8_bits, '*', self.posit_n6e2_m3o16_bits, self.posit_n6e2_m1o64_bits, 6, 2) self.run_posit_op(self.posit_n6e2_3o8_bits, '*', self.posit_n6e2_3o4_bits, self.posit_n6e2_1o4_bits, 6, 2) self.run_posit_op(self.posit_n6e2_3o2_bits, '*', self.posit_n6e2_1_bits, self.posit_n6e2_3o2_bits, 6, 2) def test_truediv_simple(self): self.run_posit_op(self.posit_n6e2_3o2_bits, '/', self.posit_n6e2_3o2_bits, self.posit_n6e2_1_bits, 6, 2) self.run_posit_op(self.posit_n6e2_1o4_bits, '/', self.posit_n6e2_3o4_bits, self.posit_n6e2_3o8_bits, 6, 2) self.run_posit_op(self.posit_n6e2_1o8_bits, '/', self.posit_n6e2_m3o16_bits, self.posit_n6e2_m3o4_bits, 6, 2) self.run_posit_op(self.posit_n6e2_3o8_bits, '/', self.posit_n6e2_3o4_bits, self.posit_n6e2_1o2_bits, 6, 2) self.run_posit_op(self.posit_n6e2_3o2_bits, '/', self.posit_n6e2_1_bits, self.posit_n6e2_3o2_bits, 6, 2) def test_create_pcposit_from_large_int_bits(self): p0 = PCPosit(3**80, mode='bits', nbits=256, es=2) p1 = PCPosit(5**90, mode='bits', nbits=256, es=2) p2 = p0 + p1 p3 = p0 - p1 p4 = p0 * p1 p5 = p0 / p1 @unittest.skip("Not implemented.") def test_floordiv(self): raise NotImplementedError def run_posit_cmp_op(self, abits=None, op_str=None, bbits=None, ref_output=None, nbits=None, es=None): a = PCPosit(abits, nbits=nbits, es=es, mode='bits') b = PCPosit(bbits, nbits=nbits, es=es, mode='bits') out = None if op_str == '==': out = (a == b) elif op_str == '!=': out = (a != b) elif op_str == '<': out = (a < b) elif op_str == '<=': out = (a <= b) elif op_str == '>': out = (a > b) elif op_str == '>=': out = (a >= b) else: raise NotImplementedError("op={}".format(op_str)) self.assertEqual(out, ref_output) def test_eq(self): self.run_posit_cmp_op(0, '==', 0, True, 6, 2) self.run_posit_cmp_op(0, '==', self.posit_n6e2_cinf_bits, False, 6, 2) self.run_posit_cmp_op(0, '==', self.posit_n6e2_3o2_bits, False, 6, 2) self.run_posit_cmp_op(0, '==', self.posit_n6e2_m3o16_bits, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_cinf_bits, '==', 0, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_cinf_bits, '==', self.posit_n6e2_cinf_bits, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_cinf_bits, '==', self.posit_n6e2_3o2_bits, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_cinf_bits, '==', self.posit_n6e2_m3o16_bits, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_3o2_bits, '==', 0, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_3o2_bits, '==', self.posit_n6e2_cinf_bits, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_3o2_bits, '==', self.posit_n6e2_3o2_bits, True, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_3o2_bits, '==', self.posit_n6e2_m3o16_bits, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_m3o16_bits, '==', 0, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_m3o16_bits, '==', self.posit_n6e2_cinf_bits, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_m3o16_bits, '==', self.posit_n6e2_3o2_bits, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_m3o16_bits, '==', self.posit_n6e2_m3o16_bits, True, 6, 2) def test_ne(self): self.run_posit_cmp_op(0, '!=', 0, False, 6, 2) self.run_posit_cmp_op(0, '!=', self.posit_n6e2_cinf_bits, True, 6, 2) self.run_posit_cmp_op(0, '!=', self.posit_n6e2_3o2_bits, True, 6, 2) self.run_posit_cmp_op(0, '!=', self.posit_n6e2_m3o16_bits, True, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_cinf_bits, '!=', 0, True, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_cinf_bits, '!=', self.posit_n6e2_cinf_bits, True, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_cinf_bits, '!=', self.posit_n6e2_3o2_bits, True, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_cinf_bits, '!=', self.posit_n6e2_m3o16_bits, True, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_3o2_bits, '!=', 0, True, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_3o2_bits, '!=', self.posit_n6e2_cinf_bits, True, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_3o2_bits, '!=', self.posit_n6e2_3o2_bits, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_3o2_bits, '!=', self.posit_n6e2_m3o16_bits, True, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_m3o16_bits, '!=', 0, True, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_m3o16_bits, '!=', self.posit_n6e2_cinf_bits, True, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_m3o16_bits, '!=', self.posit_n6e2_3o2_bits, True, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_m3o16_bits, '!=', self.posit_n6e2_m3o16_bits, False, 6, 2) def test_lt(self): self.run_posit_cmp_op(0, '<', 0, False, 6, 2) self.run_posit_cmp_op(0, '<', self.posit_n6e2_cinf_bits, False, 6, 2) self.run_posit_cmp_op(0, '<', self.posit_n6e2_3o2_bits, True, 6, 2) self.run_posit_cmp_op(0, '<', self.posit_n6e2_m3o16_bits, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_cinf_bits, '<', 0, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_cinf_bits, '<', self.posit_n6e2_cinf_bits, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_cinf_bits, '<', self.posit_n6e2_3o2_bits, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_cinf_bits, '<', self.posit_n6e2_m3o16_bits, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_3o2_bits, '<', 0, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_3o2_bits, '<', self.posit_n6e2_cinf_bits, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_3o2_bits, '<', self.posit_n6e2_3o2_bits, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_3o2_bits, '<', self.posit_n6e2_m3o16_bits, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_m3o16_bits, '<', 0, True, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_m3o16_bits, '<', self.posit_n6e2_cinf_bits, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_m3o16_bits, '<', self.posit_n6e2_3o2_bits, True, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_m3o16_bits, '<', self.posit_n6e2_m3o16_bits, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_3o2_bits, '<', self.posit_n6e2_m1o16_bits, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_3o2_bits, '<', self.posit_n6e2_3_bits, True, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_3o2_bits, '<', self.posit_n6e2_1o2_bits, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_3o2_bits, '<', self.posit_n6e2_m3o4_bits, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_m3o16_bits, '<', self.posit_n6e2_m1o16_bits, True, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_m3o16_bits, '<', self.posit_n6e2_3_bits, True, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_m3o16_bits, '<', self.posit_n6e2_1o2_bits, True, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_m3o16_bits, '<', self.posit_n6e2_m3o4_bits, False, 6, 2) def test_le(self): self.run_posit_cmp_op(0, '<=', 0, True, 6, 2) self.run_posit_cmp_op(0, '<=', self.posit_n6e2_cinf_bits, False, 6, 2) self.run_posit_cmp_op(0, '<=', self.posit_n6e2_3o2_bits, True, 6, 2) self.run_posit_cmp_op(0, '<=', self.posit_n6e2_m3o16_bits, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_cinf_bits, '<=', 0, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_cinf_bits, '<=', self.posit_n6e2_cinf_bits, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_cinf_bits, '<=', self.posit_n6e2_3o2_bits, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_cinf_bits, '<=', self.posit_n6e2_m3o16_bits, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_3o2_bits, '<=', 0, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_3o2_bits, '<=', self.posit_n6e2_cinf_bits, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_3o2_bits, '<=', self.posit_n6e2_3o2_bits, True, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_3o2_bits, '<=', self.posit_n6e2_m3o16_bits, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_m3o16_bits, '<=', 0, True, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_m3o16_bits, '<=', self.posit_n6e2_cinf_bits, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_m3o16_bits, '<=', self.posit_n6e2_3o2_bits, True, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_m3o16_bits, '<=', self.posit_n6e2_m3o16_bits, True, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_3o2_bits, '<=', self.posit_n6e2_m1o16_bits, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_3o2_bits, '<=', self.posit_n6e2_3_bits, True, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_3o2_bits, '<=', self.posit_n6e2_1o2_bits, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_3o2_bits, '<=', self.posit_n6e2_m3o4_bits, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_m3o16_bits, '<=', self.posit_n6e2_m1o16_bits, True, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_m3o16_bits, '<=', self.posit_n6e2_3_bits, True, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_m3o16_bits, '<=', self.posit_n6e2_1o2_bits, True, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_m3o16_bits, '<=', self.posit_n6e2_m3o4_bits, False, 6, 2) def test_gt(self): self.run_posit_cmp_op(0, '>', 0, False, 6, 2) self.run_posit_cmp_op(0, '>', self.posit_n6e2_cinf_bits, False, 6, 2) self.run_posit_cmp_op(0, '>', self.posit_n6e2_3o2_bits, False, 6, 2) self.run_posit_cmp_op(0, '>', self.posit_n6e2_m3o16_bits, True, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_cinf_bits, '>', 0, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_cinf_bits, '>', self.posit_n6e2_cinf_bits, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_cinf_bits, '>', self.posit_n6e2_3o2_bits, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_cinf_bits, '>', self.posit_n6e2_m3o16_bits, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_3o2_bits, '>', 0, True, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_3o2_bits, '>', self.posit_n6e2_cinf_bits, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_3o2_bits, '>', self.posit_n6e2_3o2_bits, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_3o2_bits, '>', self.posit_n6e2_m3o16_bits, True, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_m3o16_bits, '>', 0, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_m3o16_bits, '>', self.posit_n6e2_cinf_bits, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_m3o16_bits, '>', self.posit_n6e2_3o2_bits, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_m3o16_bits, '>', self.posit_n6e2_m3o16_bits, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_3o2_bits, '>', self.posit_n6e2_m1o16_bits, True, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_3o2_bits, '>', self.posit_n6e2_3_bits, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_3o2_bits, '>', self.posit_n6e2_1o2_bits, True, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_3o2_bits, '>', self.posit_n6e2_m3o4_bits, True, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_m3o16_bits, '>', self.posit_n6e2_m1o16_bits, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_m3o16_bits, '>', self.posit_n6e2_3_bits, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_m3o16_bits, '>', self.posit_n6e2_1o2_bits, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_m3o16_bits, '>', self.posit_n6e2_m3o4_bits, True, 6, 2) def test_ge(self): self.run_posit_cmp_op(0, '>=', 0, True, 6, 2) self.run_posit_cmp_op(0, '>=', self.posit_n6e2_cinf_bits, False, 6, 2) self.run_posit_cmp_op(0, '>=', self.posit_n6e2_3o2_bits, False, 6, 2) self.run_posit_cmp_op(0, '>=', self.posit_n6e2_m3o16_bits, True, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_cinf_bits, '>=', 0, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_cinf_bits, '>=', self.posit_n6e2_cinf_bits, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_cinf_bits, '>=', self.posit_n6e2_3o2_bits, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_cinf_bits, '>=', self.posit_n6e2_m3o16_bits, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_3o2_bits, '>=', 0, True, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_3o2_bits, '>=', self.posit_n6e2_cinf_bits, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_3o2_bits, '>=', self.posit_n6e2_3o2_bits, True, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_3o2_bits, '>=', self.posit_n6e2_m3o16_bits, True, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_m3o16_bits, '>=', 0, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_m3o16_bits, '>=', self.posit_n6e2_cinf_bits, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_m3o16_bits, '>=', self.posit_n6e2_3o2_bits, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_m3o16_bits, '>=', self.posit_n6e2_m3o16_bits, True, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_3o2_bits, '>=', self.posit_n6e2_m1o16_bits, True, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_3o2_bits, '>=', self.posit_n6e2_3_bits, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_3o2_bits, '>=', self.posit_n6e2_1o2_bits, True, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_3o2_bits, '>=', self.posit_n6e2_m3o4_bits, True, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_m3o16_bits, '>=', self.posit_n6e2_m1o16_bits, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_m3o16_bits, '>=', self.posit_n6e2_3_bits, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_m3o16_bits, '>=', self.posit_n6e2_1o2_bits, False, 6, 2) self.run_posit_cmp_op(self.posit_n6e2_m3o16_bits, '>=', self.posit_n6e2_m3o4_bits, True, 6, 2) @unittest.skip("Not implemented.") def test_str(self): raise NotImplementedError if __name__ == '__main__': unittest.main()

55.972973

138

0.692312

3,160

18,639

3.65538

0.067089

0.225175

0.325253

0.107523

0.876721

0.840533

0.826855

0.817418

0.814648

0

0.101363

0.177477

18,639

332

139

56.141566

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false

0.004202

0.012605

0

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0

null

1

0

1

0

null

0

8

570ca1c1fc41d2b04d157c2fede017bc8d0b01c9

1,833

py

Python

tests/test_nlp_model.py

JayLinC2C/Google-Speech-to-Text-API-Word-Error-Rate-Analysis-Tool

e0079e542e56f36abc3ae05575ea05b8d7331f7a

[ "BSD-2-Clause" ]

7

2020-01-15T07:11:41.000Z

2021-07-14T15:04:58.000Z

tests/test_nlp_model.py

JayLinC2C/Google-Speech-to-Text-API-Word-Error-Rate-Analysis-Tool

e0079e542e56f36abc3ae05575ea05b8d7331f7a

[ "BSD-2-Clause" ]

14

2019-12-17T16:56:40.000Z

2021-08-06T16:22:11.000Z

tests/test_nlp_model.py

JayLinC2C/Google-Speech-to-Text-API-Word-Error-Rate-Analysis-Tool

e0079e542e56f36abc3ae05575ea05b8d7331f7a

[ "BSD-2-Clause" ]

3

2020-06-04T08:57:45.000Z

2021-08-03T01:10:26.000Z

import pytest def test_set_remove_stop_words(): from model.nlp import NLPModel nlp_model = NLPModel() nlp_model.set_remove_stop_words(True) def test_get_remove_stop_words(): from model.nlp import NLPModel nlp_model = NLPModel() expected = False result = nlp_model.get_remove_stop_words() assert result == expected def test_set_get_remove_stop_words(): from model.nlp import NLPModel nlp_model = NLPModel() expected = True nlp_model.set_remove_stop_words(expected) result = nlp_model.get_remove_stop_words() assert result == expected def test_get_apply_stemming(): from model.nlp import NLPModel nlp_model = NLPModel() expected = False result = nlp_model.get_apply_stemming() assert result == expected def test_set_get_apply_stemming(): from model.nlp import NLPModel nlp_model = NLPModel() expected = True nlp_model.set_apply_stemming(expected) result = nlp_model.get_apply_stemming() assert expected == result def test_get_expand_contractions(): from model.nlp import NLPModel nlp_model = NLPModel() expected = False result = nlp_model.get_expand_contractions() assert result == expected def test_set_get_expand_contractions(): from model.nlp import NLPModel nlp_model = NLPModel() expected = True nlp_model.set_expand_contractions(expected) result = nlp_model.get_expand_contractions() assert result == expected def test_get_n2w(): from model.nlp import NLPModel nlp_model = NLPModel() expected = False result = nlp_model.get_n2w() assert result == expected def test_set_get_n2w(): from model.nlp import NLPModel nlp_model = NLPModel() expected = True nlp_model.set_n2w(expected) result = nlp_model.get_n2w() assert result == expected

27.772727

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243

1,833

5.160494

0.09465

0.140351

0.127592

0.129187

0.929825

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0.871611

0.795853

0.745614

0

0.003404

0.198582

1,833

66

49

27.772727

0.850238

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0.140351

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false

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0

null

0

1

0

1

0

null

0

7

57282dc60bfc07af60781668a48054ca800806ef

6,545

py

Python

loldib/getratings/models/NA/na_soraka/na_soraka_mid.py

koliupy/loldib

c9ab94deb07213cdc42b5a7c26467cdafaf81b7f

[ "Apache-2.0" ]

null

loldib/getratings/models/NA/na_soraka/na_soraka_mid.py

koliupy/loldib

c9ab94deb07213cdc42b5a7c26467cdafaf81b7f

[ "Apache-2.0" ]

null

loldib/getratings/models/NA/na_soraka/na_soraka_mid.py

koliupy/loldib

c9ab94deb07213cdc42b5a7c26467cdafaf81b7f

[ "Apache-2.0" ]

null

from getratings.models.ratings import Ratings class NA_Soraka_Mid_Aatrox(Ratings): pass class NA_Soraka_Mid_Ahri(Ratings): pass class NA_Soraka_Mid_Akali(Ratings): pass class NA_Soraka_Mid_Alistar(Ratings): pass class NA_Soraka_Mid_Amumu(Ratings): pass class NA_Soraka_Mid_Anivia(Ratings): pass class NA_Soraka_Mid_Annie(Ratings): pass class NA_Soraka_Mid_Ashe(Ratings): pass class NA_Soraka_Mid_AurelionSol(Ratings): pass class NA_Soraka_Mid_Azir(Ratings): pass class NA_Soraka_Mid_Bard(Ratings): pass class NA_Soraka_Mid_Blitzcrank(Ratings): pass class NA_Soraka_Mid_Brand(Ratings): pass class NA_Soraka_Mid_Braum(Ratings): pass class NA_Soraka_Mid_Caitlyn(Ratings): pass class NA_Soraka_Mid_Camille(Ratings): pass class NA_Soraka_Mid_Cassiopeia(Ratings): pass class NA_Soraka_Mid_Chogath(Ratings): pass class NA_Soraka_Mid_Corki(Ratings): pass class NA_Soraka_Mid_Darius(Ratings): pass class NA_Soraka_Mid_Diana(Ratings): pass class NA_Soraka_Mid_Draven(Ratings): pass class NA_Soraka_Mid_DrMundo(Ratings): pass class NA_Soraka_Mid_Ekko(Ratings): pass class NA_Soraka_Mid_Elise(Ratings): pass class NA_Soraka_Mid_Evelynn(Ratings): pass class NA_Soraka_Mid_Ezreal(Ratings): pass class NA_Soraka_Mid_Fiddlesticks(Ratings): pass class NA_Soraka_Mid_Fiora(Ratings): pass class NA_Soraka_Mid_Fizz(Ratings): pass class NA_Soraka_Mid_Galio(Ratings): pass class NA_Soraka_Mid_Gangplank(Ratings): pass class NA_Soraka_Mid_Garen(Ratings): pass class NA_Soraka_Mid_Gnar(Ratings): pass class NA_Soraka_Mid_Gragas(Ratings): pass class NA_Soraka_Mid_Graves(Ratings): pass class NA_Soraka_Mid_Hecarim(Ratings): pass class NA_Soraka_Mid_Heimerdinger(Ratings): pass class NA_Soraka_Mid_Illaoi(Ratings): pass class NA_Soraka_Mid_Irelia(Ratings): pass class NA_Soraka_Mid_Ivern(Ratings): pass class NA_Soraka_Mid_Janna(Ratings): pass class NA_Soraka_Mid_JarvanIV(Ratings): pass class NA_Soraka_Mid_Jax(Ratings): pass class NA_Soraka_Mid_Jayce(Ratings): pass class NA_Soraka_Mid_Jhin(Ratings): pass class NA_Soraka_Mid_Jinx(Ratings): pass class NA_Soraka_Mid_Kalista(Ratings): pass class NA_Soraka_Mid_Karma(Ratings): pass class NA_Soraka_Mid_Karthus(Ratings): pass class NA_Soraka_Mid_Kassadin(Ratings): pass class NA_Soraka_Mid_Katarina(Ratings): pass class NA_Soraka_Mid_Kayle(Ratings): pass class NA_Soraka_Mid_Kayn(Ratings): pass class NA_Soraka_Mid_Kennen(Ratings): pass class NA_Soraka_Mid_Khazix(Ratings): pass class NA_Soraka_Mid_Kindred(Ratings): pass class NA_Soraka_Mid_Kled(Ratings): pass class NA_Soraka_Mid_KogMaw(Ratings): pass class NA_Soraka_Mid_Leblanc(Ratings): pass class NA_Soraka_Mid_LeeSin(Ratings): pass class NA_Soraka_Mid_Leona(Ratings): pass class NA_Soraka_Mid_Lissandra(Ratings): pass class NA_Soraka_Mid_Lucian(Ratings): pass class NA_Soraka_Mid_Lulu(Ratings): pass class NA_Soraka_Mid_Lux(Ratings): pass class NA_Soraka_Mid_Malphite(Ratings): pass class NA_Soraka_Mid_Malzahar(Ratings): pass class NA_Soraka_Mid_Maokai(Ratings): pass class NA_Soraka_Mid_MasterYi(Ratings): pass class NA_Soraka_Mid_MissFortune(Ratings): pass class NA_Soraka_Mid_MonkeyKing(Ratings): pass class NA_Soraka_Mid_Mordekaiser(Ratings): pass class NA_Soraka_Mid_Morgana(Ratings): pass class NA_Soraka_Mid_Nami(Ratings): pass class NA_Soraka_Mid_Nasus(Ratings): pass class NA_Soraka_Mid_Nautilus(Ratings): pass class NA_Soraka_Mid_Nidalee(Ratings): pass class NA_Soraka_Mid_Nocturne(Ratings): pass class NA_Soraka_Mid_Nunu(Ratings): pass class NA_Soraka_Mid_Olaf(Ratings): pass class NA_Soraka_Mid_Orianna(Ratings): pass class NA_Soraka_Mid_Ornn(Ratings): pass class NA_Soraka_Mid_Pantheon(Ratings): pass class NA_Soraka_Mid_Poppy(Ratings): pass class NA_Soraka_Mid_Quinn(Ratings): pass class NA_Soraka_Mid_Rakan(Ratings): pass class NA_Soraka_Mid_Rammus(Ratings): pass class NA_Soraka_Mid_RekSai(Ratings): pass class NA_Soraka_Mid_Renekton(Ratings): pass class NA_Soraka_Mid_Rengar(Ratings): pass class NA_Soraka_Mid_Riven(Ratings): pass class NA_Soraka_Mid_Rumble(Ratings): pass class NA_Soraka_Mid_Ryze(Ratings): pass class NA_Soraka_Mid_Sejuani(Ratings): pass class NA_Soraka_Mid_Shaco(Ratings): pass class NA_Soraka_Mid_Shen(Ratings): pass class NA_Soraka_Mid_Shyvana(Ratings): pass class NA_Soraka_Mid_Singed(Ratings): pass class NA_Soraka_Mid_Sion(Ratings): pass class NA_Soraka_Mid_Sivir(Ratings): pass class NA_Soraka_Mid_Skarner(Ratings): pass class NA_Soraka_Mid_Sona(Ratings): pass class NA_Soraka_Mid_Soraka(Ratings): pass class NA_Soraka_Mid_Swain(Ratings): pass class NA_Soraka_Mid_Syndra(Ratings): pass class NA_Soraka_Mid_TahmKench(Ratings): pass class NA_Soraka_Mid_Taliyah(Ratings): pass class NA_Soraka_Mid_Talon(Ratings): pass class NA_Soraka_Mid_Taric(Ratings): pass class NA_Soraka_Mid_Teemo(Ratings): pass class NA_Soraka_Mid_Thresh(Ratings): pass class NA_Soraka_Mid_Tristana(Ratings): pass class NA_Soraka_Mid_Trundle(Ratings): pass class NA_Soraka_Mid_Tryndamere(Ratings): pass class NA_Soraka_Mid_TwistedFate(Ratings): pass class NA_Soraka_Mid_Twitch(Ratings): pass class NA_Soraka_Mid_Udyr(Ratings): pass class NA_Soraka_Mid_Urgot(Ratings): pass class NA_Soraka_Mid_Varus(Ratings): pass class NA_Soraka_Mid_Vayne(Ratings): pass class NA_Soraka_Mid_Veigar(Ratings): pass class NA_Soraka_Mid_Velkoz(Ratings): pass class NA_Soraka_Mid_Vi(Ratings): pass class NA_Soraka_Mid_Viktor(Ratings): pass class NA_Soraka_Mid_Vladimir(Ratings): pass class NA_Soraka_Mid_Volibear(Ratings): pass class NA_Soraka_Mid_Warwick(Ratings): pass class NA_Soraka_Mid_Xayah(Ratings): pass class NA_Soraka_Mid_Xerath(Ratings): pass class NA_Soraka_Mid_XinZhao(Ratings): pass class NA_Soraka_Mid_Yasuo(Ratings): pass class NA_Soraka_Mid_Yorick(Ratings): pass class NA_Soraka_Mid_Zac(Ratings): pass class NA_Soraka_Mid_Zed(Ratings): pass class NA_Soraka_Mid_Ziggs(Ratings): pass class NA_Soraka_Mid_Zilean(Ratings): pass class NA_Soraka_Mid_Zyra(Ratings): pass

15.695444

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0.766692

972

6,545

4.736626

0.151235

0.209818

0.389661

0.479583

0.803432

0

0.169748

6,545

416

47

15.733173

0.847258

0

0.498195

0

1

0

true

0.498195

0.00361

0

0.501805

0

null

1

0

null

0

1

0

7

5744b203873878161033067caa0e8bb3189fbd01

191

py

Python

hrdc/stream/optimizer/__init__.py

fossabot/hrdc

740794c946e8d9f967318b1dfc18085448ca0f0c

[ "MIT" ]

13

2018-04-07T06:10:00.000Z

2022-02-18T04:24:32.000Z

hrdc/stream/optimizer/__init__.py

fossabot/hrdc

740794c946e8d9f967318b1dfc18085448ca0f0c

[ "MIT" ]

3

2019-07-29T03:06:07.000Z

2021-10-10T12:20:19.000Z

hrdc/stream/optimizer/__init__.py

fossabot/hrdc

740794c946e8d9f967318b1dfc18085448ca0f0c

[ "MIT" ]

4

2019-07-29T03:03:24.000Z

2021-10-10T12:15:25.000Z

from .base import Optimizer from . import designator_uniq from . import global_merge from . import main_merge from . import physical_merge from . import range_merge from . import usage_page

21.222222

29

0.811518

28

191

5.321429

0.464286

0.402685

0

0.151832

191

8

30

23.875

0.919753

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

938c7d9ad64303bf35888d9fed6992def403500b

10,015

py

Python

code/backend/twitter/api/views/graphics.py

detiuaveiro/social-network-mining

283ca46b9bdbcc2dffb71e5d4e3718040121380c

[ "BSD-3-Clause" ]

4

2020-07-16T16:01:11.000Z

2020-07-21T15:17:34.000Z

code/backend/twitter/api/views/graphics.py

detiuaveiro/social-network-mining

283ca46b9bdbcc2dffb71e5d4e3718040121380c

[ "BSD-3-Clause" ]

null

code/backend/twitter/api/views/graphics.py

detiuaveiro/social-network-mining

283ca46b9bdbcc2dffb71e5d4e3718040121380c

[ "BSD-3-Clause" ]

1

2020-07-16T15:54:53.000Z

from rest_framework.decorators import api_view from rest_framework.status import HTTP_200_OK, HTTP_403_FORBIDDEN from api import queries from api.views.utils import create_response @api_view(["GET"]) def entities_counter(_, ): """ Args: _: Http Request (ignored in this function) Returns: Entities counter (bots,users,tweets) info saved on database wrapped on response's object """ error_messages = [] success_messages = [] status = HTTP_200_OK success, data, message = queries.entities_counter() if success: success_messages.append(message) else: error_messages.append(message) status = HTTP_403_FORBIDDEN return create_response(data=data, error_messages=error_messages, success_messages=success_messages, status=status) @api_view(["GET"]) def latest_tweets(_, counter, entries_per_page=None, page=None): """ Args: _: Http Request (ignored in this function) counter: Number of tweets to return entries_per_page: Number of entries per page or None page: Number of page the user wants to retrieve or None Returns: Latest tweets wrapped on response's object """ error_messages = [] success_messages = [] status = HTTP_200_OK success, data, message = queries.latest_tweets(int(counter), entries_per_page, page) if success: success_messages.append(message) else: error_messages.append(message) status = HTTP_403_FORBIDDEN return create_response(data=data, error_messages=error_messages, success_messages=success_messages, status=status) @api_view(["GET"]) def latest_tweets_daily(_, entries_per_page=None, page=None): """ Args: _: Http Request (ignored in this function) entries_per_page: Number of entries per page or None page: Number of page the user wants to retrieve or None Returns: All bots's daily tweets wrapped on response's object """ error_messages = [] success_messages = [] status = HTTP_200_OK success, data, message = queries.latest_tweets_daily(entries_per_page, page) if success: success_messages.append(message) else: error_messages.append(message) status = HTTP_403_FORBIDDEN return create_response(data=data, error_messages=error_messages, success_messages=success_messages, status=status) @api_view(["GET"]) def latest_activities_daily(_, entries_per_page=None, page=None): """ Args: _: Http Request (ignored in this function) entries_per_page: Number of entries per page or None page: Number of page the user wants to retrieve or None Returns: All bots's daily activities wrapped on response's object """ error_messages = [] success_messages = [] status = HTTP_200_OK success, data, message = queries.latest_activities_daily(entries_per_page, page) if success: success_messages.append(message) else: error_messages.append(message) status = HTTP_403_FORBIDDEN return create_response(data=data, error_messages=error_messages, success_messages=success_messages, status=status) @api_view(["GET"]) def latest_activities(_, counter, entries_per_page=None, page=None): """ Args: _: Http Request (ignored in this function) counter: Number of tweets to return entries_per_page: Number of entries per page or None page: Number of page the user wants to retrieve or None Returns: All bots's activities limited by counter wrapped on response's object """ error_messages = [] success_messages = [] status = HTTP_200_OK success, data, message = queries.latest_activities(int(counter), entries_per_page, page) if success: success_messages.append(message) else: error_messages.append(message) status = HTTP_403_FORBIDDEN return create_response(data=data, error_messages=error_messages, success_messages=success_messages, status=status) @api_view(["GET"]) def gen_stats_grouped_accum(_, group_type): """ Args: _: Http Request (ignored in this function) group_type: Keyword defining group label (day,month,year) Returns: Activities grouped by (day or month or year) wrapped on response's object """ error_messages = [] success_messages = [] status = HTTP_200_OK index_per_type = { 'year': 0, 'month': 1, 'day': 2 } types = ["year", "month", "day"] success, data, message = queries.gen_stats_grouped(types[:index_per_type[group_type] + 1], accum=True) if success: success_messages.append(message) else: error_messages.append(message) status = HTTP_403_FORBIDDEN return create_response(data=data, error_messages=error_messages, success_messages=success_messages, status=status) @api_view(["GET"]) def gen_stats_grouped_new(_, group_type): """ Args: _: Http Request (ignored in this function) group_type: Keyword defining group label (day,month,year) Returns: Activities grouped by (day or month or year) wrapped on response's object """ error_messages = [] success_messages = [] status = HTTP_200_OK index_per_type = { 'year': 0, 'month': 1, 'day': 2 } types = ["year", "month", "day"] success, data, message = queries.gen_stats_grouped(types[:index_per_type[group_type] + 1], accum=False) if success: success_messages.append(message) else: error_messages.append(message) status = HTTP_403_FORBIDDEN return create_response(data=data, error_messages=error_messages, success_messages=success_messages, status=status) @api_view(["GET"]) def user_tweets_stats_grouped_accum(_, group_type): """ Args: _: Http Request (ignored in this function) group_type: Keyword defining group label (day,month,year) Returns: Activities grouped by (day or month or year) wrapped on response's object """ error_messages = [] success_messages = [] status = HTTP_200_OK index_per_type = { 'year': 0, 'month': 1, 'day': 2 } types = ["year", "month", "day"] success, data, message = queries.user_tweets_stats_grouped(types[:index_per_type[group_type] + 1], accum=True) if success: success_messages.append(message) else: error_messages.append(message) status = HTTP_403_FORBIDDEN return create_response(data=data, error_messages=error_messages, success_messages=success_messages, status=status) @api_view(["GET"]) def user_tweets_stats_grouped_new(_, group_type): """ Args: _: Http Request (ignored in this function) group_type: Keyword defining group label (day,month,year) Returns: Activities grouped by (day or month or year) wrapped on response's object """ error_messages = [] success_messages = [] status = HTTP_200_OK index_per_type = { 'year': 0, 'month': 1, 'day': 2 } types = ["year", "month", "day"] success, data, message = queries.user_tweets_stats_grouped(types[:index_per_type[group_type] + 1], accum=False) if success: success_messages.append(message) else: error_messages.append(message) status = HTTP_403_FORBIDDEN return create_response(data=data, error_messages=error_messages, success_messages=success_messages, status=status) @api_view(["GET"]) def relations_stats_grouped_accum(_, group_type): """ Args: _: Http Request (ignored in this function) group_type: Keyword defining group label (day,month,year) Returns: Activities grouped by (day or month or year) wrapped on response's object """ error_messages = [] success_messages = [] status = HTTP_200_OK index_per_type = { 'year': 0, 'month': 1, 'day': 2 } types = ["year", "month", "day"] success, data, message = queries.relations_stats_grouped(types[:index_per_type[group_type] + 1], accum=True) if success: success_messages.append(message) else: error_messages.append(message) status = HTTP_403_FORBIDDEN return create_response(data=data, error_messages=error_messages, success_messages=success_messages, status=status) @api_view(["GET"]) def relations_stats_grouped_new(_, group_type): """ Args: _: Http Request (ignored in this function) group_type: Keyword defining group label (day,month,year) Returns: Activities grouped by (day or month or year) wrapped on response's object """ error_messages = [] success_messages = [] status = HTTP_200_OK index_per_type = { 'year': 0, 'month': 1, 'day': 2 } types = ["year", "month", "day"] success, data, message = queries.relations_stats_grouped(types[:index_per_type[group_type] + 1], accum=False) if success: success_messages.append(message) else: error_messages.append(message) status = HTTP_403_FORBIDDEN return create_response(data=data, error_messages=error_messages, success_messages=success_messages, status=status) @api_view(["GET"]) def general_today(_): """ Args: _: Http Request (ignored in this function) Returns: Number of activities done today """ error_messages = [] success_messages = [] status = HTTP_200_OK success, data, message = queries.general_today() if success: success_messages.append(message) else: error_messages.append(message) status = HTTP_403_FORBIDDEN return create_response(data=data, error_messages=error_messages, success_messages=success_messages, status=status) @api_view(["GET"]) def user_tweets_today(_): """ Args: _: Http Request (ignored in this function) Returns: Activities grouped by (day or month or year) wrapped on response's object """ error_messages = [] success_messages = [] status = HTTP_200_OK success, data, message = queries.user_tweets_today() if success: success_messages.append(message) else: error_messages.append(message) status = HTTP_403_FORBIDDEN return create_response(data=data, error_messages=error_messages, success_messages=success_messages, status=status) @api_view(["GET"]) def relations_today(_): """ Args: _: Http Request (ignored in this function) Returns: Activities grouped by (day or month or year) wrapped on response's object """ error_messages = [] success_messages = [] status = HTTP_200_OK success, data, message = queries.relations_today() if success: success_messages.append(message) else: error_messages.append(message) status = HTTP_403_FORBIDDEN return create_response(data=data, error_messages=error_messages, success_messages=success_messages, status=status)

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93ad20edb9a59f3493b913e86a9913ce6b2b9815

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py

Python

tests/test_client.py

WLM1ke/aiomoex

dd7f6c4cb9482d0a3185c340274a4d4d42e15a9f

[ "Unlicense" ]

55

2018-11-25T14:11:50.000Z

2021-11-14T21:53:10.000Z

tests/test_client.py

WLM1ke/aiomoex

dd7f6c4cb9482d0a3185c340274a4d4d42e15a9f

[ "Unlicense" ]

5

2018-12-01T05:42:41.000Z

2021-07-13T11:15:23.000Z

tests/test_client.py

WLM1ke/aiomoex

dd7f6c4cb9482d0a3185c340274a4d4d42e15a9f

[ "Unlicense" ]

21

2018-11-20T17:46:43.000Z

2022-03-30T04:24:56.000Z

import typing import pytest from aiomoex import client def test_iss_client_async_iterable(http_session): iss = client.ISSClient(http_session, "test_url") assert isinstance(iss, typing.AsyncIterable) assert str(iss) == "ISSClient(url=test_url, query={})" def test_make_query_empty(http_session): iss = client.ISSClient(http_session, "test_url") # noinspection PyProtectedMember query = iss._make_query() assert isinstance(query, typing.Mapping) assert len(query) == 2 assert query["iss.json"] == "extended" assert query["iss.meta"] == "off" def test_make_query_not_empty(http_session): iss = client.ISSClient(http_session, "test_url", dict(test_param="test_value")) # noinspection PyProtectedMember query = iss._make_query() assert isinstance(query, typing.Mapping) assert len(query) == 3 assert query["iss.json"] == "extended" assert query["iss.meta"] == "off" assert query["test_param"] == "test_value" def test_make_query_not_empty_with_start(http_session): iss = client.ISSClient(http_session, "test_url", dict(test_param="test_value")) # noinspection PyProtectedMember query = iss._make_query(100) assert isinstance(query, typing.Mapping) assert len(query) == 4 assert query["iss.json"] == "extended" assert query["iss.meta"] == "off" assert query["test_param"] == "test_value" assert query["start"] == 100 @pytest.mark.asyncio async def test_get(http_session): url = "https://iss.moex.com/iss/securities.json" query = dict(q="1-02-65104-D") iss = client.ISSClient(http_session, url, query) raw = await iss.get() data = raw["securities"] assert isinstance(data, list) assert len(data) == 4 assert isinstance(data[0], dict) assert data[1]["regnumber"] == "1-02-65104-D" assert "Юнипро" in data[2]["emitent_title"] @pytest.mark.asyncio async def test_get_with_start(http_session): url = "https://iss.moex.com/iss/securities.json" query = dict(q="1-02-65104-D") iss = client.ISSClient(http_session, url, query) raw = await iss.get(1) data = raw["securities"] assert isinstance(data, list) assert len(data) == 3 assert isinstance(data[0], dict) assert data[1]["regnumber"] == "1-02-65104-D" assert "Юнипро" in data[2]["emitent_title"] @pytest.mark.asyncio async def test_get_error(http_session): url = "https://iss.moex.com/iss/securities1.json" iss = client.ISSClient(http_session, url) with pytest.raises(client.ISSMoexError) as error: await iss.get() assert "Неверный url" in str(error.value) assert "url" in str(error.value) @pytest.mark.asyncio async def test_get_all_with_cursor(http_session): url = "https://iss.moex.com/iss/history/engines/stock/markets/shares/securities/SNGSP.json" query = {"from": "2018-01-01", "till": "2018-03-01"} iss = client.ISSClient(http_session, url, query) raw = await iss.get_all() data = raw["history"] assert isinstance(data, list) assert len(data) > 100 assert data[0]["TRADEDATE"] == "2018-01-03" assert data[-1]["TRADEDATE"] == "2018-03-01" for row in data: for column in ["TRADEDATE", "OPEN", "LOW", "HIGH", "CLOSE", "VOLUME"]: assert column in row @pytest.mark.asyncio async def test_get_all_without_cursor(http_session): url = ( "https://iss.moex.com/iss/history/engines/stock/markets/shares/boards/TQBR/securities/SNGSP.json" ) query = {"from": "2018-01-03", "till": "2018-06-01"} iss = client.ISSClient(http_session, url, query) raw = await iss.get_all() data = raw["history"] assert isinstance(data, list) assert len(data) > 100 assert data[0]["TRADEDATE"] == "2018-01-03" assert data[-1]["TRADEDATE"] == "2018-06-01" for row in data: for column in ["TRADEDATE", "OPEN", "LOW", "HIGH", "CLOSE", "VOLUME"]: assert column in row def test_cursor_block_size(): assert client._cursor_block_size(5, [{"INDEX": 5, "PAGESIZE": 8, "TOTAL": 14}]) == 8 def test_cursor_block_size_zero(): assert client._cursor_block_size(5, [{"INDEX": 5, "PAGESIZE": 8, "TOTAL": 13}]) == 0 def test_cursor_block_size_raise_bad_start(): with pytest.raises(client.ISSMoexError) as error: client._cursor_block_size(5, [{"INDEX": 6, "PAGESIZE": 8, "TOTAL": 14}]) assert "Некорректные данные history.cursor" in str(error.value) def test_cursor_block_size_raise_bad_structure(): with pytest.raises(client.ISSMoexError) as error: client._cursor_block_size(5, [{}, {}]) assert "Некорректные данные history.cursor" in str(error.value)

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93bc661d5b8224340ad93045508ad308dd18521e

8,735

py

Python

plot/box/paths_puddle.py

architsakhadeo/Offline-Hyperparameter-Tuning-for-RL

94b8f205b12f0cc59ae8e19b2e6099f34be929d6

[ "MIT" ]

null

plot/box/paths_puddle.py

architsakhadeo/Offline-Hyperparameter-Tuning-for-RL

94b8f205b12f0cc59ae8e19b2e6099f34be929d6

[ "MIT" ]

null

plot/box/paths_puddle.py

architsakhadeo/Offline-Hyperparameter-Tuning-for-RL

94b8f205b12f0cc59ae8e19b2e6099f34be929d6

[ "MIT" ]

null

#pd_true = ["../../data/hyperparam_v4/puddle/online_learning/esarsa-adam/step10k/sweep/"] #pd_rnd = [2, 0, 29, 10, 28, 30, 0, 29, 14, 24, 9, 8, 29, 11, 28, 9, 7, 5, 6, 8, 9, 7, 9, 3, 21, 2, 8, 21, 6, 20, 2, 16] #pd_random = ["../../data/hyperparam_v4/puddle/offline_learning/knn-ens/randomInit/closeTrans/k3/timeout1000/esarsa/step10k_env/data_random/drop0.3"] #pd_return320 = ["../../data/hyperparam_v4/puddle/offline_learning/knn-ens/randomInit/closeTrans/k3/timeout1000/esarsa/step10k_env/data_return-320/drop0.3"] #pd_return40 = ["../../data/hyperparam_v4/puddle/offline_learning/knn-ens/randomInit/closeTrans/k3/timeout1000/esarsa/step10k_env/data_return-40/drop0.3"] #pdhard_true = ["../../data/hyperparam_v4/puddlehard/online_learning/esarsa-adam/step50k/sweep/"] #pdhard_random = ["../../data/hyperparam_v4/puddlehard/offline_learning/knn-ens/randomInit/closeTrans/k3/timeout1000/esarsa/step10k_env/data_random/drop0.3"] #pdhard_return360 = ["../../data/hyperparam_v4/puddlehard/offline_learning/knn-ens/randomInit/closeTrans/k3/timeout1000/esarsa/step10k_env/data_return-360/drop0.3"] #pdhard_return45 = ["../../data/hyperparam_v4/puddlehard/offline_learning/knn-ens/randomInit/closeTrans/k3/timeout1000/esarsa/step10k_env/data_return-45/drop0.3"] ''' pd_true = ["../../../../../../Downloads/transferabledata/new/hyperparam_ap_CEM_gridsearch/data/hyperparam_ap/puddleworld/online_learning/esarsa/step30k/sweep/"] pd_rnd = [34, 4, 43, 30, 24, 32, 40, 11, 20, 30, 3, 16, 53, 45, 0, 21, 43, 23, 44, 50, 9, 41, 37, 37, 11, 2, 26, 33, 18, 20] pd_offline = ["../../../../../../Downloads/transferabledata/new/hyperparam_ap_CEM_gridsearch/data/hyperparam_ap/puddleworld/offline_learning/k3_timeout400/esarsa/step30k/optimalfixed_eps0/sweep/"] pd_cemOffline = ["../../../../../../Downloads/transferabledata/new/hyperparam_ap_CEM_gridsearch/data/hyperparam_ap/puddleworld/list/CEMoffline_onlineEvaluation/esarsa/step30k/sweep/"] pd_cemOnline = ["../../../../../../Downloads/transferabledata/new/hyperparam_ap_CEM_gridsearch/data/hyperparam_ap/puddleworld/list/CEMonline_onlineEvaluation/esarsa/step30k/sweep/"] pdhard_random = ["../../data/hyperparam_v4/puddlehard/offline_learning/knn-ens/randomInit/closeTrans/k3/timeout1000/esarsa/step10k_env/data_random/drop0.3"] pdhard_return360 = ["../../data/hyperparam_v4/puddlehard/offline_learning/knn-ens/randomInit/closeTrans/k3/timeout1000/esarsa/step10k_env/data_return-360/drop0.3"] pdhard_return45 = ["../../data/hyperparam_v4/puddlehard/offline_learning/knn-ens/randomInit/closeTrans/k3/timeout1000/esarsa/step10k_env/data_return-45/drop0.3"] ''' pdrand_rnd = [34, 4, 43, 30, 24, 32, 40, 11, 20, 30, 3, 16, 53, 45, 0, 21, 43, 23, 44, 50, 9, 41, 37, 37, 11, 2, 26, 33, 18, 20] pdrand_true = ["../../data/hyperparam_v5/puddlerand/online_learning/esarsa/step30k/sweep"] pdrand_true_dqn = ["../../data/hyperparam_v5/puddlerand/online_learning/dqn/step600k/sweep"] pdrand_laplace_knn_test1_5k_dqn = ["../../data/hyperparam_v5/puddlerand/offline_learning/knn/learning/k3_laplace/timeout20k/dqn/step5k_env/data_optimal/drop0/sweep_rep1/"] pdrand_network_15k = ["../../data/hyperparam_v5/puddlerand/offline_learning/network/learning/clip_separated/timeout1000/esarsa/step15k_env/data_optimal/sweep"] pdrand_laplace_network_15k = ["../../data/hyperparam_v5/puddlerand/offline_learning/network/learning/clip_laplace_separated/timeout1000/esarsa/step15k_env/data_optimal/sweep"] pdrand_knn_15k = ["../../data/hyperparam_v5/puddlerand/offline_learning/knn/learning/k3/timeout1000/esarsa/step15k_env/data_optimal/drop0/sweep"] pdrand_knn_10k = ["../../data/hyperparam_v5/puddlerand/offline_learning/knn/learning/k3/timeout1000/esarsa/step10k_env/data_optimal/drop0/sweep"] pdrand_knn_5k = ["../../data/hyperparam_v5/puddlerand/offline_learning/knn/learning/k3/timeout1000/esarsa/step5k_env/data_optimal/drop0/sweep"] pdrand_knn_2p5k = ["../../data/hyperparam_v5/puddlerand/offline_learning/knn/learning/k3/timeout1000/esarsa/step2.5k_env/data_optimal/drop0/sweep"] pdrand_knn_1k = ["../../data/hyperparam_v5/puddlerand/offline_learning/knn/learning/k3/timeout1000/esarsa/step1k_env/data_optimal/drop0/sweep"] pdrand_knn_500 = ["../../data/hyperparam_v5/puddlerand/offline_learning/knn/learning/k3/timeout1000/esarsa/step500_env/data_optimal/drop0/sweep"] pdrand_laplace_knn_test1_15k = ["../../data/hyperparam_v5/puddlerand/offline_learning/knn/learning/k3_laplace/timeout1000/esarsa/step15k_env/data_optimal/drop0/sweep_rep1"] pdrand_laplace_knn_test1_10k = ["../../data/hyperparam_v5/puddlerand/offline_learning/knn/learning/k3_laplace/timeout1000/esarsa/step10k_env/data_optimal/drop0/sweep_rep1"] pdrand_laplace_knn_test1_5k = ["../../data/hyperparam_v5/puddlerand/offline_learning/knn/learning/k3_laplace/timeout1000/esarsa/step5k_env/data_optimal/drop0/sweep_rep1"] pdrand_laplace_knn_test1_2p5k = ["../../data/hyperparam_v5/puddlerand/offline_learning/knn/learning/k3_laplace/timeout1000/esarsa/step2.5k_env/data_optimal/drop0/sweep_rep1"] pdrand_laplace_knn_test1_1k = ["../../data/hyperparam_v5/puddlerand/offline_learning/knn/learning/k3_laplace/timeout1000/esarsa/step1k_env/data_optimal/drop0/sweep_rep1"] pdrand_laplace_knn_test1_500 = ["../../data/hyperparam_v5/puddlerand/offline_learning/knn/learning/k3_laplace/timeout1000/esarsa/step500_env/data_optimal/drop0/sweep_rep1"] pdrand_scale_network_15k = ["../../data/hyperparam_v5/puddlerand/offline_learning/network/learning/clip_scale_separated/timeout1000/esarsa/step15k_env/data_optimal/sweep"] pdrand_scale_network_10k = ["../../data/hyperparam_v5/puddlerand/offline_learning/network/learning/clip_scale_separated/timeout1000/esarsa/step10k_env/data_optimal/sweep"] pdrand_scale_network_5k = ["../../data/hyperparam_v5/puddlerand/offline_learning/network/learning/clip_scale_separated/timeout1000/esarsa/step5k_env/data_optimal/sweep"] pdrand_scale_network_2p5k = ["../../data/hyperparam_v5/puddlerand/offline_learning/network/learning/clip_scale_separated/timeout1000/esarsa/step2.5k_env/data_optimal/sweep"] pdrand_scale_network_1k = ["../../data/hyperparam_v5/puddlerand/offline_learning/network/learning/clip_scale_separated/timeout1000/esarsa/step1k_env/data_optimal/sweep"] pdrand_scale_network_500 = ["../../data/hyperparam_v5/puddlerand/offline_learning/network/learning/clip_scale_separated/timeout1000/esarsa/step500_env/data_optimal/sweep"] pdrand_scale_laplace_network_15k = ["../../data/hyperparam_v5/puddlerand/offline_learning/network/learning/clip_scale_laplace_separated/timeout1000/esarsa/step15k_env/data_optimal/sweep"] pdrand_scale_laplace_network_10k = ["../../data/hyperparam_v5/puddlerand/offline_learning/network/learning/clip_scale_laplace_separated/timeout1000/esarsa/step10k_env/data_optimal/sweep"] pdrand_scale_laplace_network_5k = ["../../data/hyperparam_v5/puddlerand/offline_learning/network/learning/clip_scale_laplace_separated/timeout1000/esarsa/step5k_env/data_optimal/sweep"] pdrand_scale_laplace_network_2p5k = ["../../data/hyperparam_v5/puddlerand/offline_learning/network/learning/clip_scale_laplace_separated/timeout1000/esarsa/step2.5k_env/data_optimal/sweep"] pdrand_scale_laplace_network_1k = ["../../data/hyperparam_v5/puddlerand/offline_learning/network/learning/clip_scale_laplace_separated/timeout1000/esarsa/step1k_env/data_optimal/sweep"] pdrand_scale_laplace_network_500 = ["../../data/hyperparam_v5/puddlerand/offline_learning/network/learning/clip_scale_laplace_separated/timeout1000/esarsa/step500_env/data_optimal/sweep"] pd_rnd = [34, 4, 43, 30, 24, 32, 40, 11, 20, 30, 3, 16, 53, 45, 0, 21, 43, 23, 44, 50, 9, 41, 37, 37, 11, 2, 26, 33, 18, 20] basepath = "../../../../../../Downloads/transferabledata/new/data_dcp/final/data/hyperparam_v5/" pd_true = [basepath + "puddlerand/online_learning/esarsa/step30k/sweep/"] pd_optim_knn = [basepath + "puddlerand/offline_learning/knn/learning/k3_laplace/timeout500/esarsa/step15k_env/data_optimal/drop0/sweep_rep1/"] pd_suboptim_knn = [basepath + "puddlerand/offline_learning/knn/learning/k3_laplace/timeout500/esarsa/step15k_env/data_suboptimal/drop0/sweep_rep1/"] pd_subsuboptim_knn = [basepath + "puddlerand/offline_learning/knn/learning/k3_laplace/timeout500/esarsa/step15k_env/data_subsuboptimal/drop0/sweep_rep1/"] pd_optim_network = [basepath + "puddlerand/offline_learning/network/learning/clip_scale_laplace_separated/timeout500/esarsa/step15k_env/data_optimal/sweep/"] pd_suboptim_network = [basepath + "puddlerand/offline_learning/network/learning/clip_scale_laplace_separated/timeout500/esarsa/step15k_env/data_suboptimal/sweep/"] pd_subsuboptim_network = [basepath + "puddlerand/offline_learning/network/learning/clip_scale_laplace_separated/timeout500/esarsa/step15k_env/data_subsuboptimal/sweep/"]

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93e398978632020d5083a8125af08209d4de6872

254

py

Python

PyObjCTest/test_nsportcoder.py

linuxfood/pyobjc-framework-Cocoa-test

3475890f165ab26a740f13d5afe4c62b4423a140

[ "MIT" ]

null

PyObjCTest/test_nsportcoder.py

linuxfood/pyobjc-framework-Cocoa-test

3475890f165ab26a740f13d5afe4c62b4423a140

[ "MIT" ]

null

PyObjCTest/test_nsportcoder.py

linuxfood/pyobjc-framework-Cocoa-test

3475890f165ab26a740f13d5afe4c62b4423a140

[ "MIT" ]

null

import Foundation from PyObjCTools.TestSupport import TestCase class TestNSPortCoder(TestCase): def testMethods(self): self.assertResultIsBOOL(Foundation.NSPortCoder.isBycopy) self.assertResultIsBOOL(Foundation.NSPortCoder.isByref)

28.222222

64

0.799213

23

254

8.826087

0.652174

0.216749

0.315271

0.423645

0

0.133858

254

8

65

31.75

0.922727

0

0.333333

1

0.166667

false

0

0.333333

0

0.666667

0

1

0

null

1

0

1

0

null

0

1

0

1

0

7

f5411f3b00ad71cfe6d82973fb9c1d7ad761728b

128

py

Python

python/testData/completion/heavyStarPropagation/lib/_pkg1/_pkg1_0/_pkg1_0_1/_pkg1_0_1_1/_pkg1_0_1_1_0/_mod1_0_1_1_0_0.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

2

2019-04-28T07:48:50.000Z

2020-12-11T14:18:08.000Z

python/testData/completion/heavyStarPropagation/lib/_pkg1/_pkg1_0/_pkg1_0_1/_pkg1_0_1_1/_pkg1_0_1_1_0/_mod1_0_1_1_0_0.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

173

2018-07-05T13:59:39.000Z

2018-08-09T01:12:03.000Z

python/testData/completion/heavyStarPropagation/lib/_pkg1/_pkg1_0/_pkg1_0_1/_pkg1_0_1_1/_pkg1_0_1_1_0/_mod1_0_1_1_0_0.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

2

2020-03-15T08:57:37.000Z

2020-04-07T04:48:14.000Z

name1_0_1_1_0_0_0 = None name1_0_1_1_0_0_1 = None name1_0_1_1_0_0_2 = None name1_0_1_1_0_0_3 = None name1_0_1_1_0_0_4 = None

14.222222

24

0.820313

40

128

1.875

0.175

0.16

0.466667

0.533333

0.88

0.746667

0

0.318182

0.140625

128

9

25

14.222222

0.363636

0

1

0

false

0

1

null

0

1

0

1

0

1

0

1

0

null

0

9

f5a402fef7cecb30ab9d84bd9bf3411aa93939e6

67

py

Python

TwitterScraperAPI/__init__.py

vaskrneup/TwitterScraperAPI

c4bfc860ec012a8233d5d325c25ba58642a843e2

[ "MIT" ]

1

2020-09-19T14:39:50.000Z

TwitterScraperAPI/__init__.py

vaskrneup/TwitterScraperAPI

c4bfc860ec012a8233d5d325c25ba58642a843e2

[ "MIT" ]

null

TwitterScraperAPI/__init__.py

vaskrneup/TwitterScraperAPI

c4bfc860ec012a8233d5d325c25ba58642a843e2

[ "MIT" ]

null

from .packages import default_data from .packages import extractor

22.333333

34

0.850746

9

67

6.222222

0.666667

0.428571

0.642857

0

0.119403

67

2

35

33.5

0.949153

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

1934bc4ce61ce05ba8223bb93a957f769a1691fa

93,078

py

Python

gaugette/fonts/tahoma_24.py

wsiffer/Google-Bartender

37018d3efe33a84074a6dccbce9e82f20ef3c923

[ "MIT" ]

6

2020-07-30T00:21:29.000Z

2022-03-16T23:31:09.000Z

gaugette/fonts/tahoma_24.py

antndeb/Google-Bartender

37018d3efe33a84074a6dccbce9e82f20ef3c923

[ "MIT" ]

null

gaugette/fonts/tahoma_24.py

antndeb/Google-Bartender

37018d3efe33a84074a6dccbce9e82f20ef3c923

[ "MIT" ]

1

2022-03-16T23:39:29.000Z

# coding=utf-8 # Module tahoma_24 # generated from Tahoma 18pt name = "Tahoma 24" start_char = '!' end_char = chr(127) char_height = 24 space_width = 12 gap_width = 3 bitmaps = ( # @0 '!' (2 pixels wide) 0x00, # 0xC0, # OO 0xC0, # OO 0xC0, # OO 0xC0, # OO 0xC0, # OO 0xC0, # OO 0xC0, # OO 0xC0, # OO 0xC0, # OO 0xC0, # OO 0xC0, # OO 0xC0, # OO 0xC0, # OO 0x00, # 0x00, # 0x00, # 0xC0, # OO 0xC0, # OO 0x00, # 0x00, # 0x00, # 0x00, # 0x00, # # @24 '"' (6 pixels wide) 0xCC, # OO OO 0xCC, # OO OO 0xCC, # OO OO 0xCC, # OO OO 0xCC, # OO OO 0xCC, # OO OO 0xCC, # OO OO 0x00, # 0x00, # 0x00, # 0x00, # 0x00, # 0x00, # 0x00, # 0x00, # 0x00, # 0x00, # 0x00, # 0x00, # 0x00, # 0x00, # 0x00, # 0x00, # 0x00, # # @48 '#' (15 pixels wide) 0x00, 0x00, # 0x03, 0x18, # OO OO 0x03, 0x18, # OO OO 0x07, 0x30, # OOO OO 0x06, 0x30, # OO OO 0x06, 0x30, # OO OO 0x3F, 0xFE, # OOOOOOOOOOOOO 0x3F, 0xFE, # OOOOOOOOOOOOO 0x0C, 0x60, # OO OO 0x0C, 0x60, # OO OO 0x0C, 0x60, # OO OO 0x0C, 0x60, # OO OO 0xFF, 0xF8, # OOOOOOOOOOOOO 0xFF, 0xF8, # OOOOOOOOOOOOO 0x18, 0xC0, # OO OO 0x18, 0xC0, # OO OO 0x19, 0xC0, # OO OOO 0x31, 0x80, # OO OO 0x31, 0x80, # OO OO 0x00, 0x00, # 0x00, 0x00, # 0x00, 0x00, # 0x00, 0x00, # 0x00, 0x00, # # @96 '$' (11 pixels wide) 0x00, 0x00, # 0x04, 0x00, # O 0x04, 0x00, # O 0x04, 0x00, # O 0x1F, 0x80, # OOOOOO 0x7F, 0xC0, # OOOOOOOOO 0xE4, 0x40, # OOO O O 0xC4, 0x00, # OO O 0xC4, 0x00, # OO O 0xE4, 0x00, # OOO O 0x7C, 0x00, # OOOOO 0x3F, 0x80, # OOOOOOO 0x07, 0xC0, # OOOOO 0x04, 0x60, # O OO 0x04, 0x60, # O OO 0x04, 0x60, # O OO 0xC4, 0xC0, # OO O OO 0xFF, 0xC0, # OOOOOOOOOO 0x7F, 0x00, # OOOOOOO 0x04, 0x00, # O 0x04, 0x00, # O 0x04, 0x00, # O 0x04, 0x00, # O 0x00, 0x00, # # @144 '%' (21 pixels wide) 0x00, 0x00, 0x00, # 0x3C, 0x03, 0x00, # OOOO OO 0x7E, 0x06, 0x00, # OOOOOO OO 0xE7, 0x06, 0x00, # OOO OOO OO 0xC3, 0x0C, 0x00, # OO OO OO 0xC3, 0x0C, 0x00, # OO OO OO 0xC3, 0x18, 0x00, # OO OO OO 0xC3, 0x18, 0x00, # OO OO OO 0xE7, 0x30, 0x00, # OOO OOO OO 0x7E, 0x31, 0xE0, # OOOOOO OO OOOO 0x3C, 0x63, 0xF0, # OOOO OO OOOOOO 0x00, 0x67, 0x38, # OO OOO OOO 0x00, 0xC6, 0x18, # OO OO OO 0x00, 0xC6, 0x18, # OO OO OO 0x01, 0x86, 0x18, # OO OO OO 0x01, 0x86, 0x18, # OO OO OO 0x03, 0x07, 0x38, # OO OOO OOO 0x03, 0x03, 0xF0, # OO OOOOOO 0x06, 0x01, 0xE0, # OO OOOO 0x00, 0x00, 0x00, # 0x00, 0x00, 0x00, # 0x00, 0x00, 0x00, # 0x00, 0x00, 0x00, # 0x00, 0x00, 0x00, # # @216 '&' (16 pixels wide) 0x00, 0x00, # 0x1F, 0x00, # OOOOO 0x3F, 0x80, # OOOOOOO 0x71, 0xC0, # OOO OOO 0x60, 0xC0, # OO OO 0x60, 0xC0, # OO OO 0x60, 0xC0, # OO OO 0x31, 0x80, # OO OO 0x1F, 0x18, # OOOOO OO 0x1E, 0x18, # OOOO OO 0x77, 0x18, # OOO OOO OO 0x63, 0x98, # OO OOO OO 0xC1, 0xD8, # OO OOO OO 0xC0, 0xF0, # OO OOOO 0xC0, 0x70, # OO OOO 0xC0, 0x38, # OO OOO 0x70, 0xFC, # OOO OOOOOO 0x7F, 0xCE, # OOOOOOOOO OOO 0x1F, 0x07, # OOOOO OOO 0x00, 0x00, # 0x00, 0x00, # 0x00, 0x00, # 0x00, 0x00, # 0x00, 0x00, # # @264 ''' (2 pixels wide) 0xC0, # OO 0xC0, # OO 0xC0, # OO 0xC0, # OO 0xC0, # OO 0xC0, # OO 0xC0, # OO 0x00, # 0x00, # 0x00, # 0x00, # 0x00, # 0x00, # 0x00, # 0x00, # 0x00, # 0x00, # 0x00, # 0x00, # 0x00, # 0x00, # 0x00, # 0x00, # 0x00, # # @288 '(' (7 pixels wide) 0x0E, # OOO 0x1C, # OOO 0x18, # OO 0x30, # OO 0x30, # OO 0x60, # OO 0x60, # OO 0xE0, # OOO 0xC0, # OO 0xC0, # OO 0xC0, # OO 0xC0, # OO 0xC0, # OO 0xC0, # OO 0xC0, # OO 0xC0, # OO 0xE0, # OOO 0x60, # OO 0x60, # OO 0x30, # OO 0x30, # OO 0x18, # OO 0x1C, # OOO 0x0E, # OOO # @312 ')' (7 pixels wide) 0xE0, # OOO 0x70, # OOO 0x30, # OO 0x18, # OO 0x18, # OO 0x0C, # OO 0x0C, # OO 0x0E, # OOO 0x06, # OO 0x06, # OO 0x06, # OO 0x06, # OO 0x06, # OO 0x06, # OO 0x06, # OO 0x06, # OO 0x0E, # OOO 0x0C, # OO 0x0C, # OO 0x18, # OO 0x18, # OO 0x30, # OO 0x70, # OOO 0xE0, # OOO # @336 '*' (10 pixels wide) 0x0C, 0x00, # OO 0x0C, 0x00, # OO 0x8C, 0x40, # O OO O 0xED, 0xC0, # OOO OO OOO 0x3F, 0x00, # OOOOOO 0x0C, 0x00, # OO 0x3F, 0x00, # OOOOOO 0xED, 0xC0, # OOO OO OOO 0x8C, 0x40, # O OO O 0x0C, 0x00, # OO 0x0C, 0x00, # OO 0x00, 0x00, # 0x00, 0x00, # 0x00, 0x00, # 0x00, 0x00, # 0x00, 0x00, # 0x00, 0x00, # 0x00, 0x00, # 0x00, 0x00, # 0x00, 0x00, # 0x00, 0x00, # 0x00, 0x00, # 0x00, 0x00, # 0x00, 0x00, # # @384 '+' (14 pixels wide) 0x00, 0x00, # 0x00, 0x00, # 0x00, 0x00, # 0x00, 0x00, # 0x03, 0x00, # OO 0x03, 0x00, # OO 0x03, 0x00, # OO 0x03, 0x00, # OO 0x03, 0x00, # OO 0x03, 0x00, # OO 0xFF, 0xFC, # OOOOOOOOOOOOOO 0xFF, 0xFC, # OOOOOOOOOOOOOO 0x03, 0x00, # OO 0x03, 0x00, # OO 0x03, 0x00, # OO 0x03, 0x00, # OO 0x03, 0x00, # OO 0x03, 0x00, # OO 0x00, 0x00, # 0x00, 0x00, # 0x00, 0x00, # 0x00, 0x00, # 0x00, 0x00, # 0x00, 0x00, # # @432 ',' (5 pixels wide) 0x00, # 0x00, # 0x00, # 0x00, # 0x00, # 0x00, # 0x00, # 0x00, # 0x00, # 0x00, # 0x00, # 0x00, # 0x00, # 0x00, # 0x00, # 0x00, # 0x38, # OOO 0x30, # OO 0x70, # OOO 0x70, # OOO 0x60, # OO 0x60, # OO 0xC0, # OO 0xC0, # OO # @456 '-' (7 pixels wide) 0x00, # 0x00, # 0x00, # 0x00, # 0x00, # 0x00, # 0x00, # 0x00, # 0x00, # 0x00, # 0xFE, # OOOOOOO 0xFE, # OOOOOOO 0x00, # 0x00, # 0x00, # 0x00, # 0x00, # 0x00, # 0x00, # 0x00, # 0x00, # 0x00, # 0x00, # 0x00, # # @480 '.' 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OOO OOO 0x3F, 0x80, # OOOOOOO 0x1F, 0x00, # OOOOO 0x00, 0x00, # 0x00, 0x00, # 0x00, 0x00, # 0x00, 0x00, # 0x00, 0x00, # # @600 '1' (8 pixels wide) 0x00, # 0x18, # OO 0x18, # OO 0xF8, # OOOOO 0xF8, # OOOOO 0x18, # OO 0x18, # OO 0x18, # OO 0x18, # OO 0x18, # OO 0x18, # OO 0x18, # OO 0x18, # OO 0x18, # OO 0x18, # OO 0x18, # OO 0x18, # OO 0xFF, # OOOOOOOO 0xFF, # OOOOOOOO 0x00, # 0x00, # 0x00, # 0x00, # 0x00, # # @624 '2' (11 pixels wide) 0x00, 0x00, # 0x3E, 0x00, # OOOOO 0xFF, 0x80, # OOOOOOOOO 0xE1, 0x80, # OOO OO 0x80, 0xC0, # O OO 0x00, 0xC0, # OO 0x00, 0xC0, # OO 0x00, 0xC0, # OO 0x01, 0xC0, # OOO 0x01, 0x80, # OO 0x03, 0x00, # OO 0x07, 0x00, # OOO 0x0E, 0x00, # OOO 0x1C, 0x00, # OOO 0x38, 0x00, # OOO 0x70, 0x00, # OOO 0xE0, 0x00, # OOO 0xFF, 0xE0, # OOOOOOOOOOO 0xFF, 0xE0, # OOOOOOOOOOO 0x00, 0x00, # 0x00, 0x00, # 0x00, 0x00, # 0x00, 0x00, # 0x00, 0x00, # # @672 '3' (11 pixels wide) 0x00, 0x00, # 0x3F, 0x00, # OOOOOO 0xFF, 0xC0, # OOOOOOOOOO 0xE0, 0xE0, # OOO OOO 0x80, 0x60, # O OO 0x00, 0x60, # OO 0x00, 0x60, # OO 0x01, 0xC0, # OOO 0x0F, 0x80, # OOOOO 0x0F, 0x00, # OOOO 0x00, 0xC0, # OO 0x00, 0x60, # OO 0x00, 0x60, # OO 0x00, 0x60, # OO 0x00, 0x60, # OO 0x80, 0xE0, # O OOO 0xE1, 0xC0, # OOO OOO 0xFF, 0x80, # OOOOOOOOO 0x3F, 0x00, # OOOOOO 0x00, 0x00, # 0x00, 0x00, # 0x00, 0x00, # 0x00, 0x00, # 0x00, 0x00, # # @720 '4' (12 pixels wide) 0x00, 0x00, # 0x00, 0xC0, # OO 0x01, 0xC0, # OOO 0x03, 0xC0, # OOOO 0x06, 0xC0, # OO OO 0x0C, 0xC0, # OO OO 0x18, 0xC0, # OO OO 0x38, 0xC0, # OOO OO 0x30, 0xC0, # OO OO 0x60, 0xC0, # OO OO 0xC0, 0xC0, # OO OO 0xFF, 0xF0, # OOOOOOOOOOOO 0xFF, 0xF0, # OOOOOOOOOOOO 0x00, 0xC0, # OO 0x00, 0xC0, # OO 0x00, 0xC0, # OO 0x00, 0xC0, # OO 0x00, 0xC0, # OO 0x00, 0xC0, # OO 0x00, 0x00, # 0x00, 0x00, # 0x00, 0x00, # 0x00, 0x00, # 0x00, 0x00, # # @768 '5' (10 pixels wide) 0x00, 0x00, # 0x7F, 0xC0, # OOOOOOOOO 0x7F, 0xC0, # OOOOOOOOO 0x60, 0x00, # OO 0x60, 0x00, # OO 0x60, 0x00, # OO 0x60, 0x00, # OO 0x60, 0x00, # OO 0x7E, 0x00, # OOOOOO 0x7F, 0x80, # OOOOOOOO 0x01, 0x80, # 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(2,2,2,2,2,2,2,2,1,2,2,1,2,2,1,2,2,2,2,2,2,2,2,2,2,2,1,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,0,1,2,2,2,2,2,2,2,2,2,1,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,), (6,6,4,6,6,5,6,5,6,6,0,1,0,3,1,6,6,6,6,3,5,5,6,6,6,6,5,0,0,6,6,5,2,6,6,6,6,6,6,6,6,4,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,4,0,6,4,6,3,3,3,6,3,6,6,5,6,6,6,6,3,6,3,6,4,6,6,6,6,6,6,6,2,6,6,0,6,), (15,15,13,15,15,14,15,15,12,15,11,10,11,12,10,15,12,13,13,13,14,15,13,15,15,15,14,12,13,15,13,14,11,15,15,15,15,15,15,15,13,11,15,15,15,15,15,15,15,15,15,13,15,13,14,13,13,13,15,13,13,13,2,12,14,15,13,13,13,15,13,15,15,14,15,15,15,15,13,15,13,15,14,15,15,15,15,15,15,15,13,15,13,13,15,), (11,10,11,10,10,11,10,11,6,8,9,8,9,10,9,11,10,10,11,10,10,11,8,11,10,10,9,9,11,10,8,11,10,11,11,11,11,11,11,11,10,10,11,11,11,11,11,11,11,11,11,6,11,9,9,9,7,10,11,8,7,8,6,6,11,11,11,11,11,10,11,11,11,9,11,11,11,11,11,11,11,11,11,10,11,10,10,10,10,10,10,11,7,11,10,), (21,16,21,21,18,21,19,21,17,16,21,19,21,21,19,21,20,21,21,21,21,21,19,21,19,21,19,21,21,21,18,21,20,21,21,21,21,21,21,21,20,21,21,21,21,21,21,21,21,21,21,16,21,18,18,19,16,21,21,18,17,19,8,16,21,21,21,21,21,20,21,21,21,17,21,21,21,21,21,21,21,21,21,20,21,19,20,19,19,20,21,21,17,21,17,), (16,10,14,15,13,14,14,15,12,13,13,15,13,16,15,13,16,16,15,13,15,13,15,14,14,16,15,13,13,15,13,14,16,16,13,16,16,16,13,16,16,16,16,16,16,16,13,16,13,16,15,10,13,11,11,16,10,16,16,10,12,13,3,11,14,16,13,14,13,15,14,16,16,12,16,16,16,16,13,16,14,16,15,13,14,12,13,16,12,16,13,16,12,13,12,), (2,2,0,2,2,1,2,1,2,2,0,0,0,0,0,2,2,2,2,0,1,1,2,2,2,2,1,0,0,2,2,1,0,2,2,2,2,2,2,2,2,0,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,0,0,2,0,2,0,0,0,2,0,2,2,1,2,2,2,2,0,2,0,2,0,2,2,2,2,2,2,2,0,2,2,0,2,), (6,7,2,3,4,3,7,3,7,5,2,7,2,4,6,3,4,5,5,2,5,3,6,4,4,4,7,2,2,3,5,2,3,6,3,6,6,6,3,6,6,4,6,6,6,6,3,6,3,6,4,6,6,6,6,6,6,6,7,7,7,2,6,7,3,7,2,2,2,4,6,7,6,7,7,7,3,3,2,7,2,3,3,4,3,3,3,3,4,3,2,7,7,2,4,), (7,6,7,7,7,7,6,7,3,7,7,5,7,7,5,7,6,7,7,7,7,7,5,7,7,7,6,7,7,7,5,7,6,7,7,7,7,7,7,7,6,7,7,7,7,7,7,7,7,7,7,4,7,5,5,6,4,7,7,5,4,7,4,3,7,7,7,7,7,7,7,7,7,6,7,7,7,7,7,7,7,7,7,7,7,6,7,6,6,7,7,7,4,7,7,), (10,10,8,10,10,9,10,10,8,10,6,5,6,7,6,10,10,10,10,8,9,10,10,10,10,10,9,5,10,9,10,10,7,10,10,10,10,10,10,10,10,8,10,10,10,10,10,10,10,10,10,10,10,10,10,9,9,10,10,9,6,9,0,8,9,10,9,9,9,10,9,10,10,9,10,10,10,10,9,10,9,10,10,10,10,9,10,9,9,10,6,10,7,8,10,), (14,8,10,13,12,13,12,14,9,10,14,9,14,11,11,14,11,9,8,14,8,14,9,13,13,11,9,14,8,8,11,14,12,14,14,14,14,14,14,14,12,8,14,14,14,14,14,14,14,14,11,8,14,11,12,9,8,11,14,11,10,8,1,9,11,14,14,14,14,13,14,14,14,10,14,14,14,14,14,14,14,14,14,13,14,12,13,11,12,10,14,14,9,14,8,), (4,0,2,5,0,4,3,5,2,0,0,3,0,5,3,4,4,5,5,0,5,4,3,4,2,5,3,0,0,5,1,4,4,5,3,5,5,5,3,5,4,5,5,5,5,5,3,5,3,5,5,0,4,0,1,4,0,5,5,0,2,0,3,0,5,5,4,4,4,4,4,5,5,2,5,5,5,5,4,5,4,5,5,4,5,1,2,4,1,4,1,5,2,0,0,), (7,1,3,6,5,6,5,7,2,3,7,2,7,4,4,7,4,2,0,7,0,7,2,6,6,4,2,7,0,0,4,7,5,7,7,7,7,7,7,7,5,1,7,7,7,7,7,7,7,7,4,1,7,4,5,2,1,4,7,4,3,0,0,2,4,7,7,7,7,6,7,7,7,3,7,7,7,7,7,7,7,7,7,6,7,5,6,4,5,3,7,7,2,7,0,), (3,0,1,3,0,2,1,3,0,0,0,2,0,3,2,2,3,3,3,0,3,2,2,2,1,3,2,0,0,3,0,2,3,3,1,3,3,3,1,3,3,3,3,3,3,3,1,3,1,3,3,0,2,0,0,3,0,3,3,0,0,0,0,0,3,3,2,2,2,2,2,3,3,0,3,3,3,3,2,3,2,3,3,2,3,0,0,3,0,3,0,3,0,0,0,), (9,9,5,7,8,7,9,7,9,8,6,4,6,6,3,7,8,8,8,6,8,7,9,8,8,7,6,6,6,7,8,6,4,9,7,9,9,9,7,9,9,7,9,9,9,9,7,9,7,9,8,9,9,9,9,9,9,9,9,9,9,6,2,9,6,9,6,6,6,7,6,9,9,6,9,9,7,7,6,7,6,7,6,7,7,7,7,7,7,7,6,9,9,6,8,), (11,11,11,11,11,11,11,11,7,11,11,8,11,10,8,11,10,10,10,11,10,11,9,11,11,11,10,11,11,11,10,11,10,11,11,11,11,11,11,11,9,10,11,11,11,11,11,11,11,11,11,9,11,10,10,8,9,10,11,9,8,11,0,7,11,11,11,11,11,11,11,11,11,10,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,8,11,11,), (8,5,6,8,5,7,6,7,4,5,5,7,5,8,7,6,8,8,8,5,8,6,7,7,6,8,7,5,5,8,5,6,8,8,5,8,8,8,5,8,8,8,8,8,8,8,5,8,5,8,8,5,6,5,5,8,5,8,8,5,5,5,0,4,7,8,6,7,6,7,7,8,8,4,8,8,8,8,6,8,7,8,8,6,7,5,5,8,5,8,5,8,5,5,5,), (11,10,9,11,10,10,10,10,7,10,8,10,8,11,10,10,11,11,11,8,11,10,10,10,10,11,10,8,10,11,9,10,11,11,10,11,11,11,10,11,11,11,11,11,11,11,10,11,10,11,11,9,10,9,9,11,8,11,11,9,7,9,0,7,10,11,9,10,9,10,10,11,11,9,11,11,11,11,9,11,10,11,11,10,10,10,10,11,10,11,8,11,7,8,10,), (11,11,11,11,11,11,11,11,8,11,11,8,11,10,9,11,11,11,11,11,10,11,10,11,11,11,10,11,11,11,11,11,10,11,11,11,11,11,11,11,10,10,11,11,11,11,11,11,11,11,11,10,11,10,10,9,10,10,11,10,8,9,0,8,11,11,11,11,11,11,11,11,11,10,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,8,11,11,), (12,10,12,10,10,12,10,12,9,10,12,9,12,10,9,12,10,10,10,12,10,12,10,12,10,10,9,12,10,10,10,12,10,12,12,12,12,12,12,12,10,10,12,12,12,12,12,12,12,12,10,10,12,10,10,10,10,10,12,10,10,10,0,9,11,12,12,12,12,11,12,12,12,9,12,12,12,12,12,12,12,12,11,11,12,10,11,10,10,10,12,12,10,12,10,), (10,10,10,9,9,10,10,10,9,10,10,7,10,9,8,10,8,10,10,10,9,10,10,10,8,9,7,10,10,9,10,10,9,10,10,10,10,10,10,10,10,9,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,9,0,9,10,10,10,10,10,9,10,10,10,6,10,10,10,10,10,10,10,10,10,9,10,8,9,7,8,9,10,10,10,10,9,), (11,10,11,10,9,11,10,11,9,10,11,8,11,10,9,11,9,10,11,11,10,11,10,11,9,10,8,11,11,10,10,11,10,11,11,11,11,11,11,11,10,10,11,11,11,11,11,11,11,11,11,10,11,10,10,10,10,10,11,10,10,10,0,9,11,11,11,11,11,10,11,11,11,7,11,11,11,11,11,11,11,11,11,10,11,9,10,8,9,10,11,11,10,11,9,), (11,11,7,9,11,10,11,9,10,11,7,6,7,8,5,10,11,11,11,7,10,10,11,11,11,9,8,7,8,10,11,9,6,11,10,11,11,11,10,11,11,9,11,11,11,11,10,11,10,11,11,11,11,11,11,11,11,11,11,11,11,8,0,10,8,11,8,7,7,10,7,11,11,8,11,11,9,9,8,9,7,9,8,10,9,9,9,9,9,9,7,11,11,7,11,), (11,11,11,11,11,11,11,11,8,11,10,8,10,10,9,11,11,11,11,11,10,11,10,11,11,11,10,10,11,11,11,11,10,11,11,11,11,11,11,11,10,10,11,11,11,11,11,11,11,11,11,10,11,10,10,9,10,10,11,10,8,9,0,8,11,11,11,11,11,11,11,11,11,10,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,8,11,11,), (11,11,11,11,11,11,11,11,7,11,11,7,11,9,8,11,10,10,10,11,10,11,9,11,11,11,10,11,11,11,10,11,9,11,11,11,11,11,11,11,9,9,11,11,11,11,11,11,11,11,11,9,11,10,10,8,9,9,11,9,8,11,0,7,10,11,11,11,11,11,11,11,11,10,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,8,11,11,), (3,3,1,3,3,2,3,3,0,3,0,2,0,3,2,3,3,3,3,1,3,3,2,3,3,3,2,0,3,3,0,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,0,3,1,2,3,0,3,3,1,0,2,0,0,3,3,2,2,2,3,2,3,3,2,3,3,3,3,2,3,2,3,3,3,3,3,3,3,3,3,0,3,0,1,3,), (4,4,2,5,4,4,4,5,2,4,0,3,0,5,3,4,4,5,5,2,5,4,3,4,4,5,3,0,4,5,1,4,4,5,4,5,5,5,4,5,4,5,5,5,5,5,4,5,4,5,5,0,4,2,3,4,1,5,5,2,2,3,3,0,5,5,4,4,4,4,4,5,5,3,5,5,5,5,4,5,4,5,5,4,5,4,4,4,4,4,1,5,2,2,4,), (13,13,11,13,13,12,13,13,9,12,7,11,6,13,11,13,13,13,13,10,13,12,11,13,13,13,12,5,10,13,10,12,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,7,13,12,12,12,10,13,13,11,9,11,0,8,13,13,12,12,12,13,12,13,13,12,13,13,13,13,12,13,12,13,13,13,13,13,13,13,13,13,9,13,9,8,13,), (13,7,13,13,13,13,11,13,8,13,7,8,6,10,10,13,10,11,9,12,12,13,10,13,13,13,12,10,13,10,10,13,12,13,13,13,13,13,13,13,11,7,13,13,13,13,13,13,13,13,12,7,13,11,11,10,9,11,13,10,9,13,0,8,13,13,13,13,13,12,13,13,13,9,13,13,13,13,13,13,13,13,13,12,13,12,12,11,12,11,11,13,9,13,12,), (13,7,12,11,10,12,11,13,8,8,13,8,13,10,10,13,10,8,6,13,9,13,8,12,11,10,8,13,10,5,10,13,11,13,13,13,13,13,13,13,11,7,13,13,13,13,13,13,13,13,9,7,13,10,10,8,7,10,13,10,9,10,0,8,11,13,13,13,13,12,13,13,13,9,13,13,13,13,13,13,13,13,12,12,13,11,12,9,11,9,13,13,7,13,8,), (9,9,7,9,9,8,9,9,6,9,7,4,7,6,4,9,9,9,9,7,8,9,8,9,9,9,8,6,8,9,9,8,5,9,9,9,9,9,9,9,8,6,9,9,9,9,9,9,9,9,9,8,9,8,8,7,8,8,9,8,7,8,0,6,8,9,8,7,7,9,7,9,9,8,9,9,9,9,8,9,7,9,8,9,9,9,9,9,9,9,6,9,7,7,9,), (19,18,19,19,19,19,18,19,15,19,19,16,19,18,16,19,17,18,18,19,18,19,16,19,19,19,18,19,19,18,16,19,17,19,19,19,19,19,19,19,17,18,19,19,19,19,19,19,19,19,19,15,19,17,17,16,15,18,19,17,15,19,14,14,19,19,19,19,19,19,19,19,19,18,19,19,19,19,19,19,19,19,19,19,19,18,19,18,18,19,19,19,15,19,19,), 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(6,6,6,6,6,6,6,6,5,6,6,5,6,6,6,6,6,6,6,6,6,6,6,6,6,6,5,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,5,6,6,6,6,6,6,6,6,6,5,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,), (11,10,9,10,10,9,10,10,7,9,6,10,6,11,10,10,11,11,10,7,10,9,10,10,10,11,10,5,8,10,8,9,11,11,10,11,11,11,10,11,11,11,11,11,11,11,10,11,10,11,10,5,10,8,9,11,7,11,11,8,7,8,0,6,9,11,8,9,8,10,9,11,11,9,11,11,11,11,8,11,9,11,10,10,10,10,10,11,10,11,7,11,7,6,10,), (2,2,2,2,2,2,2,2,2,2,2,1,2,2,1,2,2,2,2,2,2,2,2,2,2,2,1,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,0,2,2,2,2,2,2,2,2,2,2,1,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,), (16,14,16,16,16,16,14,16,12,16,16,15,16,16,15,16,16,16,16,16,16,16,15,16,16,16,15,16,16,16,13,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,10,16,14,14,16,12,16,16,13,12,16,3,11,16,16,16,16,16,15,16,16,16,14,16,16,16,16,16,16,16,16,16,15,16,15,15,16,15,16,16,16,12,16,15,), (9,7,9,9,9,9,7,9,5,9,9,8,9,9,8,9,9,9,9,9,9,9,8,9,9,9,8,9,9,9,6,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,3,9,7,7,9,5,9,9,6,5,9,0,4,9,9,9,9,9,8,9,9,9,7,9,9,9,9,9,9,9,9,9,8,9,8,8,9,8,9,9,9,5,9,8,), (11,8,11,11,10,11,9,11,6,10,11,8,11,10,9,11,9,10,11,11,10,11,8,11,10,10,9,11,11,10,8,11,10,11,11,11,11,11,11,11,9,10,11,11,11,11,11,11,11,11,11,5,11,8,9,9,6,10,11,8,7,11,0,6,11,11,11,11,11,10,11,11,11,8,11,11,11,11,11,11,11,11,11,10,11,10,10,8,10,10,11,11,7,11,9,), (10,8,10,10,9,10,8,10,5,9,10,7,10,9,7,10,8,9,9,10,9,10,7,10,9,9,8,10,10,9,7,10,9,10,10,10,10,10,10,10,8,9,10,10,10,10,10,10,10,10,9,4,10,7,8,7,5,9,10,7,6,10,2,5,10,10,10,10,10,9,10,10,10,8,10,10,10,10,10,10,10,10,10,9,10,9,9,8,9,9,10,10,6,10,9,), (10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,9,10,10,10,10,10,10,10,7,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,4,10,8,9,10,7,10,10,8,10,10,10,5,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,), (7,7,5,7,7,6,7,7,3,7,2,2,2,4,2,7,4,2,2,5,6,7,1,7,7,7,6,2,4,7,0,6,3,7,7,7,7,7,7,7,5,2,7,7,7,7,7,7,7,7,7,1,7,5,6,3,4,2,7,5,3,5,0,2,6,7,5,5,5,7,5,7,7,6,7,7,7,7,5,7,5,7,6,7,7,7,7,7,7,7,3,7,3,2,7,), (10,8,10,10,9,10,8,10,6,9,5,8,5,10,8,10,9,10,10,9,10,10,8,10,9,10,8,8,10,10,7,10,9,10,10,10,10,10,10,10,9,10,10,10,10,10,10,10,10,10,10,4,10,7,7,8,5,10,10,7,6,8,0,5,10,10,10,10,10,9,10,10,10,8,10,10,10,10,10,10,10,10,10,9,10,8,9,8,8,9,9,10,6,10,9,), (7,7,5,7,7,6,7,7,3,7,3,6,3,7,6,7,7,7,7,5,7,7,6,7,7,7,6,3,3,7,4,6,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,3,7,5,6,7,4,7,7,5,3,5,0,2,6,7,5,6,5,7,6,7,7,6,7,7,7,7,5,7,6,7,7,7,7,7,7,7,7,7,3,7,3,3,7,), (9,9,9,9,9,9,9,9,5,9,9,8,9,9,8,9,9,9,9,9,9,9,8,9,9,9,8,9,9,9,6,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,3,9,7,8,9,6,9,9,7,5,9,0,4,9,9,9,9,9,9,9,9,9,8,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,5,9,9,), (12,12,10,12,12,11,12,11,8,11,10,7,10,9,7,12,9,8,8,10,11,11,6,12,12,12,11,10,11,12,7,11,8,12,12,12,12,12,12,12,10,8,12,12,12,12,12,12,12,12,12,6,12,10,11,8,9,8,12,10,8,11,0,7,10,12,11,10,10,12,10,12,12,11,12,12,12,12,11,12,10,12,11,12,12,12,12,12,12,12,10,12,8,10,12,), (18,18,16,18,18,17,18,18,14,18,17,14,17,15,14,18,15,15,15,17,17,18,14,18,18,18,17,17,17,18,14,17,15,18,18,18,18,18,18,18,16,15,18,18,18,18,18,18,18,18,18,12,18,16,17,15,15,15,18,16,14,17,5,13,17,18,17,17,17,18,17,18,18,17,18,18,18,18,17,18,17,18,17,18,18,18,18,18,18,18,17,18,14,17,18,), (12,12,10,12,12,11,12,11,8,11,9,11,9,12,11,12,12,12,11,9,11,11,11,12,12,12,11,8,10,12,9,11,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,6,12,10,11,12,9,12,12,10,8,10,0,7,10,12,9,10,9,12,10,12,12,11,12,12,12,12,9,12,10,12,11,12,12,12,12,12,12,12,8,12,8,8,12,), (12,12,10,12,12,11,12,11,8,11,10,7,10,9,7,12,9,8,8,10,11,11,6,12,12,12,11,10,11,12,7,11,8,12,12,12,12,12,12,12,10,8,12,12,12,12,12,12,12,12,12,6,12,10,11,8,9,8,12,10,8,11,6,7,10,12,11,10,10,12,10,12,12,11,12,12,12,12,11,12,10,12,11,12,12,12,12,12,12,12,10,12,8,10,12,), (9,9,7,9,9,8,9,9,5,9,7,8,7,9,8,9,9,9,9,7,9,9,8,9,9,9,8,6,8,9,6,8,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,3,9,7,8,9,6,9,9,7,5,8,0,4,8,9,8,8,7,9,8,9,9,8,9,9,9,9,8,9,8,9,9,9,9,9,9,9,9,9,6,9,5,7,9,), (10,10,5,6,8,7,10,7,10,7,5,10,5,7,10,7,7,8,8,5,9,6,10,7,7,7,10,4,6,6,9,6,6,10,6,10,10,10,6,10,10,8,10,10,10,10,6,10,6,10,7,10,10,10,10,10,10,10,10,10,10,6,10,10,6,10,6,6,6,8,9,10,10,10,10,10,6,6,6,10,6,6,6,6,6,6,6,6,7,6,5,10,10,5,8,), (2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,), (10,6,10,8,6,10,8,10,5,6,10,5,10,7,7,10,7,6,6,10,6,10,6,10,7,7,5,10,8,6,7,10,8,10,10,10,10,10,10,10,8,6,10,10,10,10,10,10,10,10,6,6,10,7,7,6,5,7,10,7,6,7,6,5,9,10,10,10,10,9,10,10,10,6,10,10,10,10,10,10,10,10,9,9,10,8,9,6,8,7,10,10,5,10,6,), (13,7,12,13,13,12,11,13,8,13,13,8,13,10,9,13,10,8,9,13,12,13,8,12,13,13,12,12,13,10,9,13,10,13,13,13,13,13,13,13,11,7,13,13,13,13,13,13,13,13,12,7,13,11,11,8,9,9,13,10,9,13,0,8,12,13,13,13,13,12,13,13,13,9,13,13,13,13,13,13,13,13,13,12,13,12,12,11,12,9,12,13,9,12,12,), (9,9,7,9,9,8,9,9,6,9,3,4,2,6,4,9,9,9,9,7,8,9,8,9,9,9,8,4,8,9,9,8,5,9,9,9,9,9,9,9,8,6,9,9,9,9,9,9,9,9,9,8,9,8,8,7,8,8,9,8,7,7,0,6,8,9,7,7,7,9,7,9,9,8,9,9,9,9,7,9,7,9,8,9,9,9,9,9,9,9,5,9,7,6,9,), ) # End of font

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Python

MultiDet/model/__init__.py

ydlstartx/MultiDet

82c62222f2bb9daeb1e07dc984b1e6b7b8d89a51

[ "MIT" ]

null

MultiDet/model/__init__.py

ydlstartx/MultiDet

82c62222f2bb9daeb1e07dc984b1e6b7b8d89a51

[ "MIT" ]

null

MultiDet/model/__init__.py

ydlstartx/MultiDet

82c62222f2bb9daeb1e07dc984b1e6b7b8d89a51

[ "MIT" ]

null

from . import box from .box import * from . import basenet from .basenet import * from . import ssd from .ssd import *

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py

Python

yama_util/temp2.py

yamato-kaeng/yama_util

2fa31edf7ba501fc2e01f58511c185c8850d58f5

[ "MIT" ]

null

yama_util/temp2.py

yamato-kaeng/yama_util

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[ "MIT" ]

null

yama_util/temp2.py

yamato-kaeng/yama_util

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[ "MIT" ]

null

def yama2(): return 'Hello Yama Util ๒๒๒๒๒๒๒'

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194

py

Python

src/db_commands/__init__.py

jmaenpaa/db2_helpers

ebcaf2daa563c3bf76c31dffb9ded529c386fdde

[ "MIT" ]

1

2021-04-21T07:29:37.000Z

src/db_commands/__init__.py

jmaenpaa/db2_helpers

ebcaf2daa563c3bf76c31dffb9ded529c386fdde

[ "MIT" ]

null

src/db_commands/__init__.py

jmaenpaa/db2_helpers

ebcaf2daa563c3bf76c31dffb9ded529c386fdde

[ "MIT" ]

null

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fdfd6b9fac2173f220a49f0b3bbd73c7c29615ac

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py

Python

src/xapitrader/core/data/transaction/__init__.py

SarithT/xapitrader

0018bc37d9756a10c328def90d042ef39857cfb5

[ "MIT" ]

null

src/xapitrader/core/data/transaction/__init__.py

SarithT/xapitrader

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[ "MIT" ]

null

src/xapitrader/core/data/transaction/__init__.py

SarithT/xapitrader

0018bc37d9756a10c328def90d042ef39857cfb5

[ "MIT" ]

null

from xapitrader.core.data.transaction.TradingGuard import TradingGuard from xapitrader.core.data.transaction.SimulatingTradingGuard import SimulatingTradingGuard from xapitrader.core.data.transaction.Transaction import Transaction

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Python

msgraph/cli/command_modules/sites/azext_sites/generated/action.py

microsoftgraph/msgraph-cli-archived

489f70bf4ede1ce67b84bfb31e66da3e4db76062

[ "MIT" ]

null

msgraph/cli/command_modules/sites/azext_sites/generated/action.py

microsoftgraph/msgraph-cli-archived

489f70bf4ede1ce67b84bfb31e66da3e4db76062

[ "MIT" ]

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2022-03-29T22:54:37.000Z

2022-03-29T22:55:27.000Z

msgraph/cli/command_modules/sites/azext_sites/generated/action.py

microsoftgraph/msgraph-cli-archived

489f70bf4ede1ce67b84bfb31e66da3e4db76062

[ "MIT" ]

null

# -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for # license information. # # Code generated by Microsoft (R) AutoRest Code Generator. # Changes may cause incorrect behavior and will be lost if the code is # regenerated. # -------------------------------------------------------------------------- # pylint: disable=protected-access # pylint: disable=no-self-use import argparse from collections import defaultdict from knack.util import CLIError class AddSharepointIds(argparse.Action): def __call__(self, parser, namespace, values, option_string=None): action = self.get_action(values, option_string) namespace.sharepoint_ids = action def get_action(self, values, option_string): try: properties = defaultdict(list) for (k, v) in (x.split('=', 1) for x in values): properties[k].append(v) properties = dict(properties) except ValueError: raise CLIError('usage error: {} [KEY=VALUE ...]'.format(option_string)) d = {} for k in properties: kl = k.lower() v = properties[k] if kl == 'list-id': d['list_id'] = v[0] elif kl == 'list-item-id': d['list_item_id'] = v[0] elif kl == 'list-item-unique-id': d['list_item_unique_id'] = v[0] elif kl == 'site-id': d['site_id'] = v[0] elif kl == 'site-url': d['site_url'] = v[0] elif kl == 'tenant-id': d['tenant_id'] = v[0] elif kl == 'web-id': d['web_id'] = v[0] else: raise CLIError( 'Unsupported Key {} is provided for parameter sharepoint-ids. All possible keys are: list-id,' ' list-item-id, list-item-unique-id, site-id, site-url, tenant-id, web-id'.format(k) ) return d class AddApplication(argparse.Action): def __call__(self, parser, namespace, values, option_string=None): action = self.get_action(values, option_string) namespace.application = action def get_action(self, values, option_string): try: properties = defaultdict(list) for (k, v) in (x.split('=', 1) for x in values): properties[k].append(v) properties = dict(properties) except ValueError: raise CLIError('usage error: {} [KEY=VALUE ...]'.format(option_string)) d = {} for k in properties: kl = k.lower() v = properties[k] if kl == 'display-name': d['display_name'] = v[0] elif kl == 'id': d['id'] = v[0] else: raise CLIError( 'Unsupported Key {} is provided for parameter application. All possible keys are: display-name, id' .format(k) ) return d class AddResources(argparse._AppendAction): def __call__(self, parser, namespace, values, option_string=None): action = self.get_action(values, option_string) super(AddResources, self).__call__(parser, namespace, action, option_string) def get_action(self, values, option_string): try: properties = defaultdict(list) for (k, v) in (x.split('=', 1) for x in values): properties[k].append(v) properties = dict(properties) except ValueError: raise CLIError('usage error: {} [KEY=VALUE ...]'.format(option_string)) d = {} for k in properties: kl = k.lower() v = properties[k] if kl == 'content': d['content'] = v[0] elif kl == 'content-url': d['content_url'] = v[0] elif kl == 'self': d['self_property'] = v[0] elif kl == 'id': d['id'] = v[0] else: raise CLIError( 'Unsupported Key {} is provided for parameter resources. All possible keys are: content,' ' content-url, self, id'.format(k) ) return d class AddDetails(argparse._AppendAction): def __call__(self, parser, namespace, values, option_string=None): action = self.get_action(values, option_string) super(AddDetails, self).__call__(parser, namespace, action, option_string) def get_action(self, values, option_string): try: properties = defaultdict(list) for (k, v) in (x.split('=', 1) for x in values): properties[k].append(v) properties = dict(properties) except ValueError: raise CLIError('usage error: {} [KEY=VALUE ...]'.format(option_string)) d = {} for k in properties: kl = k.lower() v = properties[k] if kl == 'code': d['code'] = v[0] elif kl == 'message': d['message'] = v[0] elif kl == 'target': d['target'] = v[0] else: raise CLIError( 'Unsupported Key {} is provided for parameter details. All possible keys are: code, message, target' .format(k) ) return d class AddInnerError(argparse.Action): def __call__(self, parser, namespace, values, option_string=None): action = self.get_action(values, option_string) namespace.inner_error = action def get_action(self, values, option_string): try: properties = defaultdict(list) for (k, v) in (x.split('=', 1) for x in values): properties[k].append(v) properties = dict(properties) except ValueError: raise CLIError('usage error: {} [KEY=VALUE ...]'.format(option_string)) d = {} for k in properties: kl = k.lower() v = properties[k] if kl == 'code': d['code'] = v[0] elif kl == 'details': d['details'] = v elif kl == 'message': d['message'] = v[0] elif kl == 'target': d['target'] = v[0] else: raise CLIError( 'Unsupported Key {} is provided for parameter inner-error. All possible keys are: code, details,' ' message, target'.format(k) ) return d class AddCalculated(argparse.Action): def __call__(self, parser, namespace, values, option_string=None): action = self.get_action(values, option_string) namespace.calculated = action def get_action(self, values, option_string): try: properties = defaultdict(list) for (k, v) in (x.split('=', 1) for x in values): properties[k].append(v) properties = dict(properties) except ValueError: raise CLIError('usage error: {} [KEY=VALUE ...]'.format(option_string)) d = {} for k in properties: kl = k.lower() v = properties[k] if kl == 'format': d['format'] = v[0] elif kl == 'formula': d['formula'] = v[0] elif kl == 'output-type': d['output_type'] = v[0] else: raise CLIError( 'Unsupported Key {} is provided for parameter calculated. All possible keys are: format, formula,' ' output-type'.format(k) ) return d class AddChoice(argparse.Action): def __call__(self, parser, namespace, values, option_string=None): action = self.get_action(values, option_string) namespace.choice = action def get_action(self, values, option_string): try: properties = defaultdict(list) for (k, v) in (x.split('=', 1) for x in values): properties[k].append(v) properties = dict(properties) except ValueError: raise CLIError('usage error: {} [KEY=VALUE ...]'.format(option_string)) d = {} for k in properties: kl = k.lower() v = properties[k] if kl == 'allow-text-entry': d['allow_text_entry'] = v[0] elif kl == 'choices': d['choices'] = v elif kl == 'display-as': d['display_as'] = v[0] else: raise CLIError( 'Unsupported Key {} is provided for parameter choice. All possible keys are: allow-text-entry,' ' choices, display-as'.format(k) ) return d class AddDateTime(argparse.Action): def __call__(self, parser, namespace, values, option_string=None): action = self.get_action(values, option_string) namespace.date_time = action def get_action(self, values, option_string): try: properties = defaultdict(list) for (k, v) in (x.split('=', 1) for x in values): properties[k].append(v) properties = dict(properties) except ValueError: raise CLIError('usage error: {} [KEY=VALUE ...]'.format(option_string)) d = {} for k in properties: kl = k.lower() v = properties[k] if kl == 'display-as': d['display_as'] = v[0] elif kl == 'format': d['format'] = v[0] else: raise CLIError( 'Unsupported Key {} is provided for parameter date-time. All possible keys are: display-as, format' .format(k) ) return d class AddDefaultValue(argparse.Action): def __call__(self, parser, namespace, values, option_string=None): action = self.get_action(values, option_string) namespace.default_value = action def get_action(self, values, option_string): try: properties = defaultdict(list) for (k, v) in (x.split('=', 1) for x in values): properties[k].append(v) properties = dict(properties) except ValueError: raise CLIError('usage error: {} [KEY=VALUE ...]'.format(option_string)) d = {} for k in properties: kl = k.lower() v = properties[k] if kl == 'formula': d['formula'] = v[0] elif kl == 'value': d['value'] = v[0] else: raise CLIError( 'Unsupported Key {} is provided for parameter default-value. All possible keys are: formula, value' .format(k) ) return d class AddLookup(argparse.Action): def __call__(self, parser, namespace, values, option_string=None): action = self.get_action(values, option_string) namespace.lookup = action def get_action(self, values, option_string): try: properties = defaultdict(list) for (k, v) in (x.split('=', 1) for x in values): properties[k].append(v) properties = dict(properties) except ValueError: raise CLIError('usage error: {} [KEY=VALUE ...]'.format(option_string)) d = {} for k in properties: kl = k.lower() v = properties[k] if kl == 'allow-multiple-values': d['allow_multiple_values'] = v[0] elif kl == 'allow-unlimited-length': d['allow_unlimited_length'] = v[0] elif kl == 'column-name': d['column_name'] = v[0] elif kl == 'list-id': d['list_id'] = v[0] elif kl == 'primary-lookup-column-id': d['primary_lookup_column_id'] = v[0] else: raise CLIError( 'Unsupported Key {} is provided for parameter lookup. All possible keys are: allow-multiple-values,' ' allow-unlimited-length, column-name, list-id, primary-lookup-column-id'.format(k) ) return d class AddNumber(argparse.Action): def __call__(self, parser, namespace, values, option_string=None): action = self.get_action(values, option_string) namespace.number = action def get_action(self, values, option_string): try: properties = defaultdict(list) for (k, v) in (x.split('=', 1) for x in values): properties[k].append(v) properties = dict(properties) except ValueError: raise CLIError('usage error: {} [KEY=VALUE ...]'.format(option_string)) d = {} for k in properties: kl = k.lower() v = properties[k] if kl == 'decimal-places': d['decimal_places'] = v[0] elif kl == 'display-as': d['display_as'] = v[0] elif kl == 'maximum': d['maximum'] = v[0] elif kl == 'minimum': d['minimum'] = v[0] else: raise CLIError( 'Unsupported Key {} is provided for parameter number. All possible keys are: decimal-places,' ' display-as, maximum, minimum'.format(k) ) return d class AddPersonOrGroup(argparse.Action): def __call__(self, parser, namespace, values, option_string=None): action = self.get_action(values, option_string) namespace.person_or_group = action def get_action(self, values, option_string): try: properties = defaultdict(list) for (k, v) in (x.split('=', 1) for x in values): properties[k].append(v) properties = dict(properties) except ValueError: raise CLIError('usage error: {} [KEY=VALUE ...]'.format(option_string)) d = {} for k in properties: kl = k.lower() v = properties[k] if kl == 'allow-multiple-selection': d['allow_multiple_selection'] = v[0] elif kl == 'choose-from-type': d['choose_from_type'] = v[0] elif kl == 'display-as': d['display_as'] = v[0] else: raise CLIError( 'Unsupported Key {} is provided for parameter person-or-group. All possible keys are:' ' allow-multiple-selection, choose-from-type, display-as'.format(k) ) return d class AddText(argparse.Action): def __call__(self, parser, namespace, values, option_string=None): action = self.get_action(values, option_string) namespace.text = action def get_action(self, values, option_string): try: properties = defaultdict(list) for (k, v) in (x.split('=', 1) for x in values): properties[k].append(v) properties = dict(properties) except ValueError: raise CLIError('usage error: {} [KEY=VALUE ...]'.format(option_string)) d = {} for k in properties: kl = k.lower() v = properties[k] if kl == 'allow-multiple-lines': d['allow_multiple_lines'] = v[0] elif kl == 'append-changes-to-existing-text': d['append_changes_to_existing_text'] = v[0] elif kl == 'lines-for-editing': d['lines_for_editing'] = v[0] elif kl == 'max-length': d['max_length'] = v[0] elif kl == 'text-type': d['text_type'] = v[0] else: raise CLIError( 'Unsupported Key {} is provided for parameter text. All possible keys are: allow-multiple-lines,' ' append-changes-to-existing-text, lines-for-editing, max-length, text-type'.format(k) ) return d class AddOrder(argparse.Action): def __call__(self, parser, namespace, values, option_string=None): action = self.get_action(values, option_string) namespace.order = action def get_action(self, values, option_string): try: properties = defaultdict(list) for (k, v) in (x.split('=', 1) for x in values): properties[k].append(v) properties = dict(properties) except ValueError: raise CLIError('usage error: {} [KEY=VALUE ...]'.format(option_string)) d = {} for k in properties: kl = k.lower() v = properties[k] if kl == 'default': d['default'] = v[0] elif kl == 'position': d['position'] = v[0] else: raise CLIError( 'Unsupported Key {} is provided for parameter order. All possible keys are: default, position' .format(k) ) return d class AddColumnLinks(argparse._AppendAction): def __call__(self, parser, namespace, values, option_string=None): action = self.get_action(values, option_string) super(AddColumnLinks, self).__call__(parser, namespace, action, option_string) def get_action(self, values, option_string): try: properties = defaultdict(list) for (k, v) in (x.split('=', 1) for x in values): properties[k].append(v) properties = dict(properties) except ValueError: raise CLIError('usage error: {} [KEY=VALUE ...]'.format(option_string)) d = {} for k in properties: kl = k.lower() v = properties[k] if kl == 'name': d['name'] = v[0] elif kl == 'id': d['id'] = v[0] else: raise CLIError( 'Unsupported Key {} is provided for parameter column-links. All possible keys are: name, id'.format( k ) ) return d class AddStoragePlanInformation(argparse.Action): def __call__(self, parser, namespace, values, option_string=None): action = self.get_action(values, option_string) namespace.storage_plan_information = action def get_action(self, values, option_string): try: properties = defaultdict(list) for (k, v) in (x.split('=', 1) for x in values): properties[k].append(v) properties = dict(properties) except ValueError: raise CLIError('usage error: {} [KEY=VALUE ...]'.format(option_string)) d = {} for k in properties: kl = k.lower() v = properties[k] if kl == 'upgrade-available': d['upgrade_available'] = v[0] else: raise CLIError( 'Unsupported Key {} is provided for parameter storage-plan-information. All possible keys are:' ' upgrade-available'.format(k) ) return d class AddList(argparse.Action): def __call__(self, parser, namespace, values, option_string=None): action = self.get_action(values, option_string) namespace.list = action def get_action(self, values, option_string): try: properties = defaultdict(list) for (k, v) in (x.split('=', 1) for x in values): properties[k].append(v) properties = dict(properties) except ValueError: raise CLIError('usage error: {} [KEY=VALUE ...]'.format(option_string)) d = {} for k in properties: kl = k.lower() v = properties[k] if kl == 'content-types-enabled': d['content_types_enabled'] = v[0] elif kl == 'hidden': d['hidden'] = v[0] elif kl == 'template': d['template'] = v[0] else: raise CLIError( 'Unsupported Key {} is provided for parameter list. All possible keys are: content-types-enabled,' ' hidden, template'.format(k) ) return d class AddSubscriptions(argparse._AppendAction): def __call__(self, parser, namespace, values, option_string=None): action = self.get_action(values, option_string) super(AddSubscriptions, self).__call__(parser, namespace, action, option_string) def get_action(self, values, option_string): try: properties = defaultdict(list) for (k, v) in (x.split('=', 1) for x in values): properties[k].append(v) properties = dict(properties) except ValueError: raise CLIError('usage error: {} [KEY=VALUE ...]'.format(option_string)) d = {} for k in properties: kl = k.lower() v = properties[k] if kl == 'application-id': d['application_id'] = v[0] elif kl == 'change-type': d['change_type'] = v[0] elif kl == 'client-state': d['client_state'] = v[0] elif kl == 'creator-id': d['creator_id'] = v[0] elif kl == 'encryption-certificate': d['encryption_certificate'] = v[0] elif kl == 'encryption-certificate-id': d['encryption_certificate_id'] = v[0] elif kl == 'expiration-date-time': d['expiration_date_time'] = v[0] elif kl == 'include-resource-data': d['include_resource_data'] = v[0] elif kl == 'latest-supported-tls-version': d['latest_supported_tls_version'] = v[0] elif kl == 'lifecycle-notification-url': d['lifecycle_notification_url'] = v[0] elif kl == 'notification-url': d['notification_url'] = v[0] elif kl == 'resource': d['resource'] = v[0] elif kl == 'id': d['id'] = v[0] else: raise CLIError( 'Unsupported Key {} is provided for parameter subscriptions. All possible keys are: application-id,' ' change-type, client-state, creator-id, encryption-certificate, encryption-certificate-id,' ' expiration-date-time, include-resource-data, latest-supported-tls-version,' ' lifecycle-notification-url, notification-url, resource, id'.format(k) ) return d class AddContentType(argparse.Action): def __call__(self, parser, namespace, values, option_string=None): action = self.get_action(values, option_string) namespace.content_type_ = action def get_action(self, values, option_string): try: properties = defaultdict(list) for (k, v) in (x.split('=', 1) for x in values): properties[k].append(v) properties = dict(properties) except ValueError: raise CLIError('usage error: {} [KEY=VALUE ...]'.format(option_string)) d = {} for k in properties: kl = k.lower() v = properties[k] if kl == 'id': d['id'] = v[0] elif kl == 'name': d['name'] = v[0] else: raise CLIError( 'Unsupported Key {} is provided for parameter content-type-. All possible keys are: id, name' .format(k) ) return d class AddVersions(argparse._AppendAction): def __call__(self, parser, namespace, values, option_string=None): action = self.get_action(values, option_string) super(AddVersions, self).__call__(parser, namespace, action, option_string) def get_action(self, values, option_string): try: properties = defaultdict(list) for (k, v) in (x.split('=', 1) for x in values): properties[k].append(v) properties = dict(properties) except ValueError: raise CLIError('usage error: {} [KEY=VALUE ...]'.format(option_string)) d = {} for k in properties: kl = k.lower() v = properties[k] if kl == 'id-fields-id': sub_d = d if 'fields' not in sub_d: sub_d['fields'] = {} sub_d = sub_d['fields'] sub_d['id'] = v[0] elif kl == 'last-modified-date-time': d['last_modified_date_time'] = v[0] elif kl == 'publication': d['publication'] = v[0] elif kl == 'application': sub_d = d if 'last_modified_by' not in sub_d: sub_d['last_modified_by'] = {} sub_d = sub_d['last_modified_by'] sub_d['application'] = v[0] elif kl == 'device': sub_d = d if 'last_modified_by' not in sub_d: sub_d['last_modified_by'] = {} sub_d = sub_d['last_modified_by'] sub_d['device'] = v[0] elif kl == 'user': sub_d = d if 'last_modified_by' not in sub_d: sub_d['last_modified_by'] = {} sub_d = sub_d['last_modified_by'] sub_d['user'] = v[0] elif kl == 'id': d['id'] = v[0] else: raise CLIError( 'Unsupported Key {} is provided for parameter versions. All possible keys are: id-fields-id,' ' last-modified-date-time, publication, application, device, user, id'.format(k) ) return d class AddPublication(argparse.Action): def __call__(self, parser, namespace, values, option_string=None): action = self.get_action(values, option_string) namespace.publication = action def get_action(self, values, option_string): try: properties = defaultdict(list) for (k, v) in (x.split('=', 1) for x in values): properties[k].append(v) properties = dict(properties) except ValueError: raise CLIError('usage error: {} [KEY=VALUE ...]'.format(option_string)) d = {} for k in properties: kl = k.lower() v = properties[k] if kl == 'level': d['level'] = v[0] elif kl == 'version-id': d['version_id'] = v[0] else: raise CLIError( 'Unsupported Key {} is provided for parameter publication. All possible keys are: level, version-id' .format(k) ) return d class AddSitesOnenoteNotebooksSectiongroupsSectionsPagesCommands(argparse._AppendAction): def __call__(self, parser, namespace, values, option_string=None): action = self.get_action(values, option_string) super(AddSitesOnenoteNotebooksSectiongroupsSectionsPagesCommands, self).__call__( parser, namespace, action, option_string ) def get_action(self, values, option_string): try: properties = defaultdict(list) for (k, v) in (x.split('=', 1) for x in values): properties[k].append(v) properties = dict(properties) except ValueError: raise CLIError('usage error: {} [KEY=VALUE ...]'.format(option_string)) d = {} for k in properties: kl = k.lower() v = properties[k] if kl == 'action': d['action'] = v[0] elif kl == 'content': d['content'] = v[0] elif kl == 'position': d['position'] = v[0] elif kl == 'target': d['target'] = v[0] else: raise CLIError( 'Unsupported Key {} is provided for parameter commands. All possible keys are: action, content,' ' position, target'.format(k) ) return d class AddSitesOnenoteNotebooksSectionsPagesCommands(argparse._AppendAction): def __call__(self, parser, namespace, values, option_string=None): action = self.get_action(values, option_string) super(AddSitesOnenoteNotebooksSectionsPagesCommands, self).__call__(parser, namespace, action, option_string) def get_action(self, values, option_string): try: properties = defaultdict(list) for (k, v) in (x.split('=', 1) for x in values): properties[k].append(v) properties = dict(properties) except ValueError: raise CLIError('usage error: {} [KEY=VALUE ...]'.format(option_string)) d = {} for k in properties: kl = k.lower() v = properties[k] if kl == 'action': d['action'] = v[0] elif kl == 'content': d['content'] = v[0] elif kl == 'position': d['position'] = v[0] elif kl == 'target': d['target'] = v[0] else: raise CLIError( 'Unsupported Key {} is provided for parameter commands. All possible keys are: action, content,' ' position, target'.format(k) ) return d class AddSitesOnenotePagesCommands(argparse._AppendAction): def __call__(self, parser, namespace, values, option_string=None): action = self.get_action(values, option_string) super(AddSitesOnenotePagesCommands, self).__call__(parser, namespace, action, option_string) def get_action(self, values, option_string): try: properties = defaultdict(list) for (k, v) in (x.split('=', 1) for x in values): properties[k].append(v) properties = dict(properties) except ValueError: raise CLIError('usage error: {} [KEY=VALUE ...]'.format(option_string)) d = {} for k in properties: kl = k.lower() v = properties[k] if kl == 'action': d['action'] = v[0] elif kl == 'content': d['content'] = v[0] elif kl == 'position': d['position'] = v[0] elif kl == 'target': d['target'] = v[0] else: raise CLIError( 'Unsupported Key {} is provided for parameter commands. All possible keys are: action, content,' ' position, target'.format(k) ) return d class AddSitesOnenotePagesParentnotebookSectiongroupsSectionsPagesCommands(argparse._AppendAction): def __call__(self, parser, namespace, values, option_string=None): action = self.get_action(values, option_string) super(AddSitesOnenotePagesParentnotebookSectiongroupsSectionsPagesCommands, self).__call__( parser, namespace, action, option_string ) def get_action(self, values, option_string): try: properties = defaultdict(list) for (k, v) in (x.split('=', 1) for x in values): properties[k].append(v) properties = dict(properties) except ValueError: raise CLIError('usage error: {} [KEY=VALUE ...]'.format(option_string)) d = {} for k in properties: kl = k.lower() v = properties[k] if kl == 'action': d['action'] = v[0] elif kl == 'content': d['content'] = v[0] elif kl == 'position': d['position'] = v[0] elif kl == 'target': d['target'] = v[0] else: raise CLIError( 'Unsupported Key {} is provided for parameter commands. All possible keys are: action, content,' ' position, target'.format(k) ) return d class AddSitesOnenotePagesParentnotebookSectionsPagesCommands(argparse._AppendAction): def __call__(self, parser, namespace, values, option_string=None): action = self.get_action(values, option_string) super(AddSitesOnenotePagesParentnotebookSectionsPagesCommands, self).__call__( parser, namespace, action, option_string ) def get_action(self, values, option_string): try: properties = defaultdict(list) for (k, v) in (x.split('=', 1) for x in values): properties[k].append(v) properties = dict(properties) except ValueError: raise CLIError('usage error: {} [KEY=VALUE ...]'.format(option_string)) d = {} for k in properties: kl = k.lower() v = properties[k] if kl == 'action': d['action'] = v[0] elif kl == 'content': d['content'] = v[0] elif kl == 'position': d['position'] = v[0] elif kl == 'target': d['target'] = v[0] else: raise CLIError( 'Unsupported Key {} is provided for parameter commands. All possible keys are: action, content,' ' position, target'.format(k) ) return d class AddSitesOnenotePagesParentsectionPagesCommands(argparse._AppendAction): def __call__(self, parser, namespace, values, option_string=None): action = self.get_action(values, option_string) super(AddSitesOnenotePagesParentsectionPagesCommands, self).__call__(parser, namespace, action, option_string) def get_action(self, values, option_string): try: properties = defaultdict(list) for (k, v) in (x.split('=', 1) for x in values): properties[k].append(v) properties = dict(properties) except ValueError: raise CLIError('usage error: {} [KEY=VALUE ...]'.format(option_string)) d = {} for k in properties: kl = k.lower() v = properties[k] if kl == 'action': d['action'] = v[0] elif kl == 'content': d['content'] = v[0] elif kl == 'position': d['position'] = v[0] elif kl == 'target': d['target'] = v[0] else: raise CLIError( 'Unsupported Key {} is provided for parameter commands. All possible keys are: action, content,' ' position, target'.format(k) ) return d class AddSitesOnenoteSectiongroupsParentnotebookSectionsPagesCommands(argparse._AppendAction): def __call__(self, parser, namespace, values, option_string=None): action = self.get_action(values, option_string) super(AddSitesOnenoteSectiongroupsParentnotebookSectionsPagesCommands, self).__call__( parser, namespace, action, option_string ) def get_action(self, values, option_string): try: properties = defaultdict(list) for (k, v) in (x.split('=', 1) for x in values): properties[k].append(v) properties = dict(properties) except ValueError: raise CLIError('usage error: {} [KEY=VALUE ...]'.format(option_string)) d = {} for k in properties: kl = k.lower() v = properties[k] if kl == 'action': d['action'] = v[0] elif kl == 'content': d['content'] = v[0] elif kl == 'position': d['position'] = v[0] elif kl == 'target': d['target'] = v[0] else: raise CLIError( 'Unsupported Key {} is provided for parameter commands. All possible keys are: action, content,' ' position, target'.format(k) ) return d class AddSitesOnenoteSectiongroupsSectionsPagesCommands(argparse._AppendAction): def __call__(self, parser, namespace, values, option_string=None): action = self.get_action(values, option_string) super(AddSitesOnenoteSectiongroupsSectionsPagesCommands, self).__call__( parser, namespace, action, option_string ) def get_action(self, values, option_string): try: properties = defaultdict(list) for (k, v) in (x.split('=', 1) for x in values): properties[k].append(v) properties = dict(properties) except ValueError: raise CLIError('usage error: {} [KEY=VALUE ...]'.format(option_string)) d = {} for k in properties: kl = k.lower() v = properties[k] if kl == 'action': d['action'] = v[0] elif kl == 'content': d['content'] = v[0] elif kl == 'position': d['position'] = v[0] elif kl == 'target': d['target'] = v[0] else: raise CLIError( 'Unsupported Key {} is provided for parameter commands. All possible keys are: action, content,' ' position, target'.format(k) ) return d class AddCommands(argparse._AppendAction): def __call__(self, parser, namespace, values, option_string=None): action = self.get_action(values, option_string) super(AddCommands, self).__call__(parser, namespace, action, option_string) def get_action(self, values, option_string): try: properties = defaultdict(list) for (k, v) in (x.split('=', 1) for x in values): properties[k].append(v) properties = dict(properties) except ValueError: raise CLIError('usage error: {} [KEY=VALUE ...]'.format(option_string)) d = {} for k in properties: kl = k.lower() v = properties[k] if kl == 'action': d['action'] = v[0] elif kl == 'content': d['content'] = v[0] elif kl == 'position': d['position'] = v[0] elif kl == 'target': d['target'] = v[0] else: raise CLIError( 'Unsupported Key {} is provided for parameter commands. All possible keys are: action, content,' ' position, target'.format(k) ) return d

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39,505

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1

0

1

0

null

0

7

4776beb428ae256f0ee7ec443c65d48d51f63b0e

4,330

py

Python

asnets/experiments/det_sokoban.py

xf1590281/ASNets

5f4b29fb62a5e72004b813228442d06246c9ec33

[ "MIT" ]

21

2017-12-05T13:27:36.000Z

2021-11-16T20:32:33.000Z

asnets/experiments/det_sokoban.py

xf1590281/ASNets

5f4b29fb62a5e72004b813228442d06246c9ec33

[ "MIT" ]

2

2018-07-16T12:15:46.000Z

2020-10-31T00:02:49.000Z

asnets/experiments/det_sokoban.py

xf1590281/ASNets

5f4b29fb62a5e72004b813228442d06246c9ec33

[ "MIT" ]

7

2018-03-19T13:45:13.000Z

2022-03-24T07:52:20.000Z

"""For experiments on sokoban from IPC'08 learning track.""" PDDL_DIR = '../problems/ipc08-learn/sokoban/' COMMON_PDDLS = ['learning/sokoban-typed.pddl'] TRAIN_PDDLS = [ # 'learning/bootstrap/typed/bootstrap-typed-01.pddl', # 'learning/bootstrap/typed/bootstrap-typed-02.pddl', # 'learning/bootstrap/typed/bootstrap-typed-03.pddl', # 'learning/bootstrap/typed/bootstrap-typed-04.pddl', # 'learning/bootstrap/typed/bootstrap-typed-05.pddl', # 'learning/bootstrap/typed/bootstrap-typed-06.pddl', # 'learning/bootstrap/typed/bootstrap-typed-07.pddl', # 'learning/bootstrap/typed/bootstrap-typed-08.pddl', 'learning/bootstrap/typed/bootstrap-typed-09.pddl', # 'learning/bootstrap/typed/bootstrap-typed-10.pddl', 'learning/bootstrap/typed/bootstrap-typed-11.pddl', # 'learning/bootstrap/typed/bootstrap-typed-12.pddl', 'learning/bootstrap/typed/bootstrap-typed-13.pddl', # 'learning/bootstrap/typed/bootstrap-typed-14.pddl', 'learning/bootstrap/typed/bootstrap-typed-15.pddl', # 'learning/bootstrap/typed/bootstrap-typed-16.pddl', 'learning/bootstrap/typed/bootstrap-typed-17.pddl', # 'learning/bootstrap/typed/bootstrap-typed-18.pddl', 'learning/bootstrap/typed/bootstrap-typed-19.pddl', # 'learning/bootstrap/typed/bootstrap-typed-20.pddl', 'learning/bootstrap/typed/bootstrap-typed-21.pddl', # 'learning/bootstrap/typed/bootstrap-typed-22.pddl', 'learning/bootstrap/typed/bootstrap-typed-23.pddl', # 'learning/bootstrap/typed/bootstrap-typed-24.pddl', 'learning/bootstrap/typed/bootstrap-typed-25.pddl', # 'learning/bootstrap/typed/bootstrap-typed-26.pddl', 'learning/bootstrap/typed/bootstrap-typed-27.pddl', # 'learning/bootstrap/typed/bootstrap-typed-28.pddl', 'learning/bootstrap/typed/bootstrap-typed-29.pddl', # 'learning/bootstrap/typed/bootstrap-typed-30.pddl', ] # yapf: disable TRAIN_NAMES = None TEST_RUNS = [ (['testing/target/typed/sokoban-target-n09-b03-w04-01-typed.pddl'], None), (['testing/target/typed/sokoban-target-n09-b03-w04-02-typed.pddl'], None), (['testing/target/typed/sokoban-target-n09-b03-w04-03-typed.pddl'], None), (['testing/target/typed/sokoban-target-n09-b03-w04-04-typed.pddl'], None), (['testing/target/typed/sokoban-target-n09-b03-w04-05-typed.pddl'], None), (['testing/target/typed/sokoban-target-n09-b03-w04-06-typed.pddl'], None), (['testing/target/typed/sokoban-target-n09-b03-w04-07-typed.pddl'], None), (['testing/target/typed/sokoban-target-n09-b03-w04-08-typed.pddl'], None), (['testing/target/typed/sokoban-target-n09-b03-w04-09-typed.pddl'], None), (['testing/target/typed/sokoban-target-n09-b03-w04-10-typed.pddl'], None), (['testing/target/typed/sokoban-target-n09-b04-w04-01-typed.pddl'], None), (['testing/target/typed/sokoban-target-n09-b04-w04-02-typed.pddl'], None), (['testing/target/typed/sokoban-target-n09-b04-w04-03-typed.pddl'], None), (['testing/target/typed/sokoban-target-n09-b04-w04-04-typed.pddl'], None), (['testing/target/typed/sokoban-target-n09-b04-w04-05-typed.pddl'], None), (['testing/target/typed/sokoban-target-n09-b04-w04-06-typed.pddl'], None), (['testing/target/typed/sokoban-target-n09-b04-w04-07-typed.pddl'], None), (['testing/target/typed/sokoban-target-n09-b04-w04-08-typed.pddl'], None), (['testing/target/typed/sokoban-target-n09-b04-w04-09-typed.pddl'], None), (['testing/target/typed/sokoban-target-n09-b04-w04-10-typed.pddl'], None), (['testing/target/typed/sokoban-target-n09-b04-w04-11-typed.pddl'], None), (['testing/target/typed/sokoban-target-n09-b04-w04-12-typed.pddl'], None), (['testing/target/typed/sokoban-target-n09-b04-w04-13-typed.pddl'], None), (['testing/target/typed/sokoban-target-n09-b04-w04-14-typed.pddl'], None), (['testing/target/typed/sokoban-target-n09-b04-w04-15-typed.pddl'], None), (['testing/target/typed/sokoban-target-n09-b04-w04-16-typed.pddl'], None), (['testing/target/typed/sokoban-target-n09-b04-w04-17-typed.pddl'], None), (['testing/target/typed/sokoban-target-n09-b04-w04-18-typed.pddl'], None), (['testing/target/typed/sokoban-target-n09-b04-w04-19-typed.pddl'], None), (['testing/target/typed/sokoban-target-n09-b04-w04-20-typed.pddl'], None), ] # yapf: disable

61.857143

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0.711547

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null

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1

null

0

8

47a32ff7c1bb5d75c7bf80a3e8ad901cd873d3d5

10,932

py

Python

tests/test_exceptions.py

cloudblue/connect-reports-runner

8a23752d4067a45ce48a943792a63e4c7cafcb5a

[ "Apache-2.0" ]

null

tests/test_exceptions.py

cloudblue/connect-reports-runner

8a23752d4067a45ce48a943792a63e4c7cafcb5a

[ "Apache-2.0" ]

null

tests/test_exceptions.py

cloudblue/connect-reports-runner

8a23752d4067a45ce48a943792a63e4c7cafcb5a

[ "Apache-2.0" ]

null

import os import pytest from connect.client import ClientError, ConnectClient from requests import Request, RequestException from executor.exception_handler import ( handle_exception, handle_post_execution_exception, handle_preparation_exception, ) def test_post_execution_error( mocked_env, mocked_responses, ): client = ConnectClient( use_specs=False, api_key=os.getenv('CLIENT_TOKEN'), endpoint=os.getenv('API_ENDPOINT'), ) mocked_responses.add( method='POST', url='https://localhost/public/v1/reporting/reports/REC-000-000-0000-000000/fail', json={}, ) exception = ClientError( message="weird error uploading", status_code=500, error_code=500, ) with pytest.raises(ClientError) as e: handle_post_execution_exception(exception, client) assert 'weird error uploading' in str(e.value) def test_handle_preparation_exception_getting_report( mocked_env, mocked_responses, ): client = ConnectClient( use_specs=False, api_key=os.getenv('CLIENT_TOKEN'), endpoint=os.getenv('API_ENDPOINT'), ) mocked_responses.add( method='POST', url='https://localhost/public/v1/reporting/reports/REC-000-000-0000-000000/fail', json={}, ) exception = ClientError( message="weird error uploading", status_code=500, error_code=500, ) with pytest.raises(ClientError) as e: handle_preparation_exception(exception, client) assert 'weird error uploading' in str(e.value) @pytest.mark.parametrize("ex_type", [ValueError, AttributeError, ImportError, ModuleNotFoundError]) def test_handle_report_execution_value_error( mocker, mocked_env, mocked_responses, mocked_report_response_v1, ex_type, ): client = ConnectClient( use_specs=False, api_key=os.getenv('CLIENT_TOKEN'), endpoint=os.getenv('API_ENDPOINT'), ) mocked_responses.add( method='GET', url='https://localhost/public/v1/reporting/reports/REC-000-000-0000-000000', json=mocked_report_response_v1, ) exception = ex_type("Some Value Error") upload = mocker.patch( 'executor.exception_handler.fail_report', ) with pytest.raises(ex_type) as e: handle_exception(exception, client) assert isinstance(e.value, ex_type) upload.assert_called_with( client, 'REC-000-000-0000-000000', 'Report execution failed with error: Some Value Error', True, ) def test_handle_report_execution_409_outside_connect_block( mocker, mocked_env, mocked_responses, mocked_report_response_v1, ): mocked_report_response_v1['template']['type'] = 'custom' client = ConnectClient( use_specs=False, api_key=os.getenv('CLIENT_TOKEN'), endpoint=os.getenv('API_ENDPOINT'), ) mocked_responses.add( method='GET', url='https://localhost/public/v1/reporting/reports/REC-000-000-0000-000000', json=mocked_report_response_v1, ) exception = ClientError( status_code=409, error_code=409, message="Test", errors=[ "error 1", "error 2", ], ) request_exception = RequestException( request=Request( method='GET', url='https://www.google.com', ), ) exception.__cause__ = request_exception upload = mocker.patch( 'executor.exception_handler.fail_report', ) with pytest.raises(ClientError): handle_exception(exception, client) # Change False to True in case that firewall reenabled as per LITE-16960 upload.assert_called_with( client, 'REC-000-000-0000-000000', '409 - Conflict: unexpected error: Test', False, ) def test_handle_report_execution_409_connect_no_block( mocker, mocked_env, mocked_responses, mocked_report_response_v1, ): mocked_report_response_v1['template']['type'] = 'custom' client = ConnectClient( use_specs=False, api_key=os.getenv('CLIENT_TOKEN'), endpoint=os.getenv('API_ENDPOINT'), ) mocked_responses.add( method='GET', url='https://localhost/public/v1/reporting/reports/REC-000-000-0000-000000', json=mocked_report_response_v1, ) exception = ClientError( status_code=409, error_code=409, message="Test", errors=[ "error 1", "error 2", ], ) request_exception = RequestException( request=Request( method='GET', url='https://localhost/public/v1', ), ) exception.__cause__ = request_exception upload = mocker.patch( 'executor.exception_handler.fail_report', ) with pytest.raises(ClientError): handle_exception(exception, client) upload.assert_called_with( client, 'REC-000-000-0000-000000', '409 - Conflict: unexpected error: Test', False, ) @pytest.mark.parametrize("report_type", ["custom", "system"]) def test_handle_report_execution_500_connect_no_block( mocker, mocked_env, mocked_responses, mocked_report_response_v1, report_type, ): mocked_report_response_v1['template']['type'] = report_type client = ConnectClient( use_specs=False, api_key=os.getenv('CLIENT_TOKEN'), endpoint=os.getenv('API_ENDPOINT'), ) mocked_responses.add( method='GET', url='https://localhost/public/v1/reporting/reports/REC-000-000-0000-000000', json=mocked_report_response_v1, ) exception = ClientError( status_code=500, error_code=500, message="Internal error", errors=[ "error 1", "error 2", ], ) request_exception = RequestException( request=Request( method='GET', url='https://localhost/public/v1', ), ) exception.__cause__ = request_exception upload = mocker.patch( 'executor.exception_handler.fail_report', ) with pytest.raises(ClientError): handle_exception(exception, client) error = "500 - Internal Server Error: unexpected error: Internal error" if report_type == 'system': error = error + ". Please contact support." upload.assert_called_with( client, 'REC-000-000-0000-000000', error, False, ) @pytest.mark.parametrize("report_type", ["custom", "system"]) def test_handle_report_execution_500( mocker, mocked_env, mocked_responses, mocked_report_response_v1, report_type, ): mocked_report_response_v1['template']['type'] = report_type client = ConnectClient( use_specs=False, api_key=os.getenv('CLIENT_TOKEN'), endpoint=os.getenv('API_ENDPOINT'), ) mocked_responses.add( method='GET', url='https://localhost/public/v1/reporting/reports/REC-000-000-0000-000000', json=mocked_report_response_v1, ) exception = ClientError( status_code=500, error_code=500, message="Internal error", errors=[ "error 1", "error 2", ], ) request_exception = RequestException( request=Request( method='GET', url='https://localhost/public/v1', ), ) exception.__cause__ = request_exception upload = mocker.patch( 'executor.exception_handler.fail_report', ) with pytest.raises(ClientError): handle_exception(exception, client) error = "500 - Internal Server Error: unexpected error: Internal error" if report_type == 'system': error = error + ". Please contact support." upload.assert_called_with( client, 'REC-000-000-0000-000000', error, False, ) @pytest.mark.parametrize("report_type", ["custom", "system"]) def test_handle_report_execution_401( mocker, mocked_env, mocked_responses, mocked_report_response_v1, report_type, ): mocked_report_response_v1['template']['type'] = report_type client = ConnectClient( use_specs=False, api_key=os.getenv('CLIENT_TOKEN'), endpoint=os.getenv('API_ENDPOINT'), ) mocked_responses.add( method='GET', url='https://localhost/public/v1/reporting/reports/REC-000-000-0000-000000', json=mocked_report_response_v1, ) exception = ClientError( status_code=401, error_code=401, message="Internal error", errors=[ "error 1", "error 2", ], ) request_exception = RequestException( request=Request( method='GET', url='https://localhost/public/v1', ), ) exception.__cause__ = request_exception upload = mocker.patch( 'executor.exception_handler.fail_report', ) with pytest.raises(ClientError): handle_exception(exception, client) error = "401 - Unauthorized: report tried to access objects not accessible by your account" if report_type == 'system': error = error + ". Please contact support." block = True if report_type == 'custom' else False upload.assert_called_with( client, 'REC-000-000-0000-000000', error, block, ) @pytest.mark.parametrize("report_type", ["custom", "system"]) def test_handle_report_execution_400( mocker, mocked_env, mocked_responses, mocked_report_response_v1, report_type, ): mocked_report_response_v1['template']['type'] = report_type client = ConnectClient( use_specs=False, api_key=os.getenv('CLIENT_TOKEN'), endpoint=os.getenv('API_ENDPOINT'), ) mocked_responses.add( method='GET', url='https://localhost/public/v1/reporting/reports/REC-000-000-0000-000000', json=mocked_report_response_v1, ) exception = ClientError( status_code=400, error_code=400, message="Internal error", errors=[ "error 1", "error 2", ], ) request_exception = RequestException( request=Request( method='GET', url='https://localhost/public/v1', ), ) exception.__cause__ = request_exception upload = mocker.patch( 'executor.exception_handler.fail_report', ) with pytest.raises(ClientError): handle_exception(exception, client) error = "400 - Bad Request: 400 - error 1,error 2" if report_type == 'system': error = error + ". Please contact support." upload.assert_called_with( client, 'REC-000-000-0000-000000', error, False, )

26.090692

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0

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10,932

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26.15311

0.764501

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0

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0

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0.221915

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0

0.0271

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false

0

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0

0.04065

0

null

0

1

0

1

0

null

0

7

9a5f947ec50c29c8773507a00ebf8f1a4207060c

15,299

py

Python

testcases.py

abelyang999/smtp

fcdbafd506256686a351fa3017bf01fbf59b4e42

[ "MIT" ]

null

testcases.py

abelyang999/smtp

fcdbafd506256686a351fa3017bf01fbf59b4e42

[ "MIT" ]

3

2020-10-27T22:16:51.000Z

2022-03-21T22:18:14.000Z

testcases.py

abelyang999/smtp

fcdbafd506256686a351fa3017bf01fbf59b4e42

[ "MIT" ]

null

from common.common import * test_cases = { "case_00": { "case_name":b"Normail mail, everything should be OK\r\n", "helo": b"attack.com", "mailfrom": b"<test@attack.com>", "rcptto": b"<victim@victim.com>", "data": { "from_header": b"From: <any@attack.com>\r\n", "to_header": b"To: <victim@victim.com>\r\n", "subject_header": b"Subject: fake subject here\r\n", "body": b"Hi, fake body here.\r\n", "custom": b"", "other_headers": b"Date: " + get_date() + b"\r\n" + b'Content-Type: text/plain; charset="UTF-8"\r\nMIME-Version: 1.0\r\nMessage-ID: <1538085644648.096e3d4e-bc38-4027-b57e-' + id_generator() + b'@message-ids.attack.com>\r\nlast:value\r\n\r\n', } }, "case_a4": { # An example of DKIM authentication injection attack "case_name":b"DKIM authentication injection attack\r\n", "helo": b"attack.com", "mailfrom": b"<any@attack.com>", "rcptto": b"<victim@victim.com>", "dkim_para": {"d":b"legitimate.com'a.attack.com", "s":b"selector", "sign_header": b"From: <security@legitimate.com>"}, "data": { "from_header": b"From: <security@legitimate.com>\r\n", "to_header": b"To: <victim@victim.com>\r\n", "subject_header": b"Subject: fake subject here\r\n", "body": b"Hi, fake body here.\r\n", "custom": b"", "other_headers": b"Date: " + get_date() + b"\r\n" + b'Content-Type: text/plain; charset="UTF-8"\r\nMIME-Version: 1.0\r\nMessage-ID: <1538085644648.096e3d4e-bc38-4027-b57e-' + id_generator() + b'@message-ids.attack.com>\r\nlast:value\r\n\r\n', } }, "case_a7": { # A example of SPF authentication results injection attack "case_name":b"SPF authentication results injection attack\r\n", "helo": b"attack.com", "mailfrom": b"<@legitimate.com,@any.com:'any@attack.com>", "rcptto": b"<victim@victim.com>", "data": { "from_header": b"From: <security@legitimate.com>\r\n", "to_header": b"To: <victim@victim.com>\r\n", "subject_header": b"Subject: SPF authentication results injection attack\r\n", "body": b"Hi, fake body here.\r\n", "custom": b"", "other_headers": b"Date: " + get_date() + b"\r\n" + b'Content-Type: text/plain; charset="UTF-8"\r\nMIME-Version: 1.0\r\nMessage-ID: <1538085644648.096e3d4e-bc38-4027-b57e-' + id_generator() + b'@message-ids.attack.com>\r\nlast:value\r\n\r\n', } }, "case_6e": { "case_name":b"Exploiting normalization behavior with multiple email addresses.\r\n", "helo": b"attack.com", "mailfrom": b"<test@attack.com>", "rcptto": b"<victim@victim.com>", "data": { "from_header": b"From: <any@attack.com>,\r\n\t<any2@attack.com>\r\n", "to_header": b"To: <victim@victim.com>\r\n", "subject_header": b"Subject: fake subject here\r\n", "body": b"Hi, fake body here.\r\n", "custom": b"Sender: <admin-sender@legitimate.com>\r\n", "other_headers": b"Date: " + get_date() + b"\r\n" + b'Content-Type: text/plain; charset="UTF-8"\r\nMIME-Version: 1.0\r\nMessage-ID: <1538085644648.096e3d4e-bc38-4027-b57e-' + id_generator() + b'@message-ids.attack.com>\r\nlast:value\r\n\r\n', } }, "case_6a": { "case_name":b"Preference of multiple From headers\r\n", "helo": b"attack.com", "mailfrom": b"<test@attack.com>", "rcptto": b"<victim@victim.com>", "data": { "from_header": b"From: <any@attack.com>\r\nFrom: <admin@@legitimate.com>\r\n", "to_header": b"To: <victim@victim.com>\r\n", "subject_header": b"Subject: fake subject here\r\n", "body": b"Hi, fake body here.\r\n", "custom": b"", "other_headers": b"Date: " + get_date() + b"\r\n" + b'Content-Type: text/plain; charset="UTF-8"\r\nMIME-Version: 1.0\r\nMessage-ID: <1538085644648.096e3d4e-bc38-4027-b57e-' + id_generator() + b'@message-ids.attack.com>\r\nlast:value\r\n\r\n', } }, "case_6b": { "case_name":b"Inconsistent interpretation in folding-space-succeeded From header.\r\n", "helo": b"attack.com", "mailfrom": b"<test@attack.com>", "rcptto": b"<victim@victim.com>", "data": { "from_header": b"From\n :<any@attack.com>\r\nFrom: <admin@legitimate.com>\r\n", "to_header": b"To: <victim@victim.com>\r\n", "subject_header": b"Subject: fake subject here\r\n", "body": b"Hi, fake body here.\r\n", "custom": b"", "other_headers": b"Date: " + get_date() + b"\r\n" + b'Content-Type: text/plain; charset="UTF-8"\r\nMIME-Version: 1.0\r\nMessage-ID: <1538085644648.096e3d4e-bc38-4027-b57e-' + id_generator() + b'@message-ids.attack.com>\r\nlast:value\r\n\r\n', } }, "case_6c": { "case_name":b"Exploiting normalization behavior with space-succeeded From header.\r\n", "helo": b"attack.com", "mailfrom": b"<test@attack.com>", "rcptto": b"<victim@victim.com>", "data": { "from_header": b"From: <admin@attack.com>\r\nFrom :<admin@legitimate.com>\r\n", "to_header": b"To: <victim@victim.com>\r\n", "subject_header": b"Subject: fake subject here\r\n", "body": b"Hi, fake body here.\r\n", "custom": b"", "other_headers": b"Date: " + get_date() + b"\r\n" + b'Content-Type: text/plain; charset="UTF-8"\r\nMIME-Version: 1.0\r\nMessage-ID: <1538085644648.096e3d4e-bc38-4027-b57e-' + id_generator() + b'@message-ids.attack.com>\r\nlast:value\r\n\r\n', } }, "case_6d": { "case_name":b"Interpreting Sender header as From alternative header.\r\n", "helo": b"attack.com", "mailfrom": b"<test@attack.com>", "rcptto": b"<victim@victim.com>", "data": { "from_header": b"From\r\n :<any@attack.com>\r\n", "to_header": b"To: <victim@victim.com>\r\n", "subject_header": b"Subject: fake subject here\r\n", "body": b"Hi, fake body here.\r\n", "custom": b"Sender: <admin@legitimate.com>\r\n", "other_headers": b"Date: " + get_date() + b"\r\n" + b'Content-Type: text/plain; charset="UTF-8"\r\nMIME-Version: 1.0\r\nMessage-ID: <1538085644648.096e3d4e-bc38-4027-b57e-' + id_generator() + b'@message-ids.attack.com>\r\nlast:value\r\n\r\n', } }, "case_6f": { "case_name":b"Combine multiple techniques to bypass Gmail validation.\r\n", "helo": b"attack.com", "mailfrom": b"<>", "rcptto": b"<victim@victim.com>", "data": { "from_header": b"From: <any@attack.com>\r\nResent-From: <admin@legitimate.com>\r\n", "to_header": b"To: <victim@victim.com>\r\n", "subject_header": b"Subject: fake subject here\r\n", "body": b"Hi, fake body here.\r\n", "custom": b"", "other_headers": b"Date: " + get_date() + b"\r\n" + b'Content-Type: text/plain; charset="UTF-8"\r\nMIME-Version: 1.0\r\nMessage-ID: <1538085644648.096e3d4e-bc38-4027-b57e-' + id_generator() + b'@message-ids.attack.com>\r\nlast:value\r\n\r\n', } }, "case_1a": { "case_name":b"From with double address + Sender + Resent-From\r\n", "helo": b"attack.com", "mailfrom": b"<test@attack.com>", "rcptto": b"<victim@victim.com>", "data": { "from_header": b"From: <any@attack.com>\r\n\t<any2@attack.com>\r\nResent-From: <admin-resent@legitimate.com>\r\n", "to_header": b"To: <victim@victim.com>\r\n", "subject_header": b"Subject: fake subject here\r\n", "body": b"Hi, fake body here.\r\n", "custom": b"Sender: <admin-sender@legitimate.com>\r\n", "other_headers": b"Date: " + get_date() + b"\r\n" + b'Content-Type: text/plain; charset="UTF-8"\r\nMIME-Version: 1.0\r\nMessage-ID: <1538085644648.096e3d4e-bc38-4027-b57e-' + id_generator() + b'@message-ids.attack.com>\r\nlast:value\r\n\r\n', } }, "case_1b": { "case_name":b"From address with comment + Sender \r\n", "helo": b"attack.com", "mailfrom": b"<test@attack.com>", "rcptto": b"<victim@victim.com>", "data": { "from_header": b"From: <any(comment@attack.com>)@legitimate.com>\r\n", "to_header": b"To: <victim@victim.com>\r\n", "subject_header": b"Subject: fake subject here\r\n", "body": b"Hi, fake body here.\r\n", "custom": b"Sender: <sender@legitimate.com>\r\n", "other_headers": b"Date: " + get_date() + b"\r\n" + b'Content-Type: text/plain; charset="UTF-8"\r\nMIME-Version: 1.0\r\nMessage-ID: <1538085644648.096e3d4e-bc38-4027-b57e-' + id_generator() + b'@message-ids.attack.com>\r\nlast:value\r\n\r\n', } }, "case_1c": { "case_name":b"From address with comment + Sender \r\n", "helo": b"attack.com", "mailfrom": b"<test@attack.com>", "rcptto": b"<victim@victim.com>", "data": { "from_header": b"From: <any(comment@attack.com>)@legitimate.com>\r\n", "to_header": b"To: <victim@victim.com>\r\n", "subject_header": b"Subject: fake subject here\r\n", "body": b"Hi, fake body here.\r\n", "custom": b"Sender: <admin-sender@legitimate.com\r\n", "other_headers": b"Date: " + get_date() + b"\r\n" + b'Content-Type: text/plain; charset="UTF-8"\r\nMIME-Version: 1.0\r\nMessage-ID: <1538085644648.096e3d4e-bc38-4027-b57e-' + id_generator() + b'@message-ids.attack.com>\r\nlast:value\r\n\r\n', } }, "case_1d": { "case_name":b"Display name in From with comment\r\n", "helo": b"attack.com", "mailfrom": b"<test@attack.com>", "rcptto": b"<victim@victim.com>", "data": { "from_header": b"From: \"display(@abc.com)\" <any@attack.com>\r\n", "to_header": b"To: <victim@victim.com(comment)>\r\n", "subject_header": b"Subject: fake subject here\r\n", "body": b"Hi, fake body here.\r\n", "custom": b"", "other_headers": b"Date: " + get_date() + b"\r\n" + b'Content-Type: text/plain; charset="UTF-8"\r\nMIME-Version: 1.0\r\nMessage-ID: <1538085644648.096e3d4e-bc38-4027-b57e-' + id_generator() + b'@message-ids.attack.com>\r\nlast:value\r\n\r\n', } }, "case_1e": { "case_name": b"Unbalance from address angle bracket\r\n", "helo": b"attack.com", "mailfrom": b"<test@attack.com>", "rcptto": b"<victim@victim.com>", "data": { "from_header": b"From: <any@attack.com\r\n", "to_header": b"To: <victim@victim.com>\r\n", "subject_header": b"Subject: fake subject here\r\n", "body": b"Hi, fake body here.\r\n", "custom": b"", "other_headers": b"Date: " + get_date() + b"\r\n" + b'Content-Type: text/plain; charset="UTF-8"\r\nMIME-Version: 1.0\r\nMessage-ID: <1538085644648.096e3d4e-bc38-4027-b57e-' + id_generator() + b'@message-ids.attack.com>\r\nlast:value\r\n\r\n', } }, "case_8a": { "case_name": b"Preference of multiple email addresses.\r\n", "helo": b"attack.com", "mailfrom": b"<test@attack.com>", "rcptto": b"<victim@victim.com>", "data": { "from_header": b"From: <any@attack.com>,<admin@legitimate.com>\r\n", "to_header": b"To: <victim@victim.com>\r\n", "subject_header": b"Subject: fake subject here\r\n", "body": b"Hi, fake body here.\r\n", "custom": b"", "other_headers": b"Date: " + get_date() + b"\r\n" + b'Content-Type: text/plain; charset="UTF-8"\r\nMIME-Version: 1.0\r\nMessage-ID: <1538085644648.096e3d4e-bc38-4027-b57e-' + id_generator() + b'@message-ids.attack.com>\r\nlast:value\r\n\r\n', } }, "case_8b": { "case_name": b"Differences in parsing Base64-encoded address.\r\n", "helo": b"attack.com", "mailfrom": b"<test@attack.com>", "rcptto": b"<victim@victim.com>", "data": { "from_header": b"From: =?UTF-8?B?dGVzdA=?= ( <admin@legitimate.com> ), <any@attack.com>\r\n", "to_header": b"To: <victim@victim.com>\r\n", "subject_header": b"Subject: fake subject here\r\n", "body": b"Hi, fake body here.\r\n", "custom": b"", "other_headers": b"Date: " + get_date() + b"\r\n" + b'Content-Type: text/plain; charset="UTF-8"\r\nMIME-Version: 1.0\r\nMessage-ID: <1538085644648.096e3d4e-bc38-4027-b57e-' + id_generator() + b'@message-ids.attack.com>\r\nlast:value\r\n\r\n', } }, "case_8d": { "case_name": b"Differences in supporting quoted-pair feature.\r\n", "helo": b"attack.com", "mailfrom": b"<test@attack.com>", "rcptto": b"<victim@victim.com>", "data": { "from_header": b"From: <admin@legitimate.com>\, <any@attack.com>\r\n", "to_header": b"To: <victim@victim.com>\r\n", "subject_header": b"Subject: fake subject here\r\n", "body": b"Hi, fake body here.\r\n", "custom": b"", "other_headers": b"Date: " + get_date() + b"\r\n" + b'Content-Type: text/plain; charset="UTF-8"\r\nMIME-Version: 1.0\r\nMessage-ID: <1538085644648.096e3d4e-bc38-4027-b57e-' + id_generator() + b'@message-ids.attack.com>\r\nlast:value\r\n\r\n', } }, "case_8e": { "case_name": b"Inconsistencies in recognizing special character precedence.\r\n", "helo": b"attack.com", "mailfrom": b"<test@attack.com>", "rcptto": b"<victim@victim.com>", "data": { "from_header": b"From: admin@legitimate.com, <any@attack.com>\r\n", "to_header": b"To: <victim@victim.com>\r\n", "subject_header": b"Subject: fake subject here\r\n", "body": b"Hi, fake body here.\r\n", "custom": b"", "other_headers": b"Date: " + get_date() + b"\r\n" + b'Content-Type: text/plain; charset="UTF-8"\r\nMIME-Version: 1.0\r\nMessage-ID: <1538085644648.096e3d4e-bc38-4027-b57e-' + id_generator() + b'@message-ids.attack.com>\r\nlast:value\r\n\r\n', } }, "case_8f": { "case_name": b"Display name and real address parsing ambiguity.\r\n", "helo": b"attack.com", "mailfrom": b"<test@attack.com>", "rcptto": b"<victim@victim.com>", "data": { "from_header": b"From: <any@attack.com>admin@legitimate.com\r\n", "to_header": b"To: <victim@victim.com>\r\n", "subject_header": b"Subject: fake subject here\r\n", "body": b"Hi, fake body here.\r\n", "custom": b"", "other_headers": b"Date: " + get_date() + b"\r\n" + b'Content-Type: text/plain; charset="UTF-8"\r\nMIME-Version: 1.0\r\nMessage-ID: <1538085644648.096e3d4e-bc38-4027-b57e-' + id_generator() + b'@message-ids.attack.com>\r\nlast:value\r\n\r\n', } }, }

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d0069058ebc98d8a7d1221451b0575cbb0204a62

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py

Python

davidgoliath/project/modelling/06_pdfnumpy.py

spideynolove/Other-repo

34066f177994415d031183ab9dd219d787e6e13a

[ "MIT" ]

null

davidgoliath/project/modelling/06_pdfnumpy.py

spideynolove/Other-repo

34066f177994415d031183ab9dd219d787e6e13a

[ "MIT" ]

null

davidgoliath/project/modelling/06_pdfnumpy.py

spideynolove/Other-repo

34066f177994415d031183ab9dd219d787e6e13a

[ "MIT" ]

null

# probability density function numpy # https://www.google.com/search?q=probability+density+function+numpy&oq=Probability+density+function+numpy&aqs=chrome.0.0j0i22i30l7.2167j0j7&sourceid=chrome&ie=UTF-8

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py

Python

silo/benchmarks/results/istc3-9-8-13.py

anshsarkar/TailBench

25845756aee9a892229c25b681051591c94daafd

[ "MIT" ]

274

2015-01-23T16:24:09.000Z

2022-02-22T03:16:14.000Z

silo/benchmarks/results/istc3-9-8-13.py

anshsarkar/TailBench

25845756aee9a892229c25b681051591c94daafd

[ "MIT" ]

3

2015-03-17T11:52:36.000Z

2019-07-22T23:04:25.000Z

silo/benchmarks/results/istc3-9-8-13.py

anshsarkar/TailBench

25845756aee9a892229c25b681051591c94daafd

[ "MIT" ]

94

2015-01-07T06:55:36.000Z

2022-01-22T08:14:15.000Z

RESULTS = [({'binary': '../out-perf/benchmarks/dbtest', 'log_fake_writes': False, 'retry': False, 'scale_factor': 160000, 'name': 'scale_rmw', 'bench_opts': '--workload-mix 80,0,20,0', 'db': 'kvdb', 'bench': 'ycsb', 'par_load': True, 'disable_gc': False, 'threads': 1, 'numa_memory': '42G', 'persist': 'persist-none', 'disable_snapshots': False, 'log_nofsync': False, 'backoff': False, 'log_compress': False, 'disable_madv_willneed': True}, [(598829.0, 598829.0, 0.00162352, 0.0, 0.0), (576272.0, 576272.0, 0.00168956, 0.0, 0.0), (596995.0, 596995.0, 0.00162922, 0.0, 0.0)]), ({'binary': '../out-perf/benchmarks/dbtest', 'log_fake_writes': False, 'retry': False, 'scale_factor': 160000, 'name': 'scale_rmw', 'bench_opts': '--workload-mix 80,0,20,0', 'db': 'ndb-proto1', 'bench': 'ycsb', 'par_load': True, 'disable_gc': False, 'threads': 1, 'numa_memory': '42G', 'persist': 'persist-none', 'disable_snapshots': False, 'log_nofsync': False, 'backoff': False, 'log_compress': False, 'disable_madv_willneed': True}, [(570013.0, 570013.0, 0.00170737, 0.0, 0.0), (576566.0, 576566.0, 0.00168789, 0.0, 0.0), (578566.0, 578566.0, 0.0016818, 0.0, 0.0)]), ({'binary': '../out-perf/benchmarks/dbtest', 'log_fake_writes': False, 'retry': False, 'scale_factor': 160000, 'name': 'scale_rmw', 'bench_opts': '--workload-mix 80,0,20,0', 'db': 'ndb-proto2', 'bench': 'ycsb', 'par_load': True, 'disable_gc': False, 'threads': 1, 'numa_memory': '42G', 'persist': 'persist-none', 'disable_snapshots': False, 'log_nofsync': False, 'backoff': False, 'log_compress': False, 'disable_madv_willneed': True}, [(575913.0, 575913.0, 0.00169019, 0.0, 0.0), (578635.0, 578635.0, 0.00168184, 0.0, 0.0), (574126.0, 574126.0, 0.00169477, 0.0, 0.0)]), ({'binary': '../out-perf/benchmarks/dbtest', 'log_fake_writes': False, 'retry': False, 'scale_factor': 160000, 'name': 'scale_rmw', 'bench_opts': '--workload-mix 80,0,20,0', 'db': 'kvdb', 'bench': 'ycsb', 'par_load': True, 'disable_gc': False, 'threads': 4, 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Python

cocpit/dash_app/layout/legend.py

vprzybylo/COCPIT

cce6d614e9646bdf6c74c8163ad73126c429b6fa

[ "MIT" ]

1

2020-08-27T14:29:13.000Z

cocpit/dash_app/layout/legend.py

vprzybylo/COCPIT

cce6d614e9646bdf6c74c8163ad73126c429b6fa

[ "MIT" ]

1

2020-08-27T15:37:51.000Z

2020-08-27T16:56:00.000Z

cocpit/dash_app/layout/legend.py

vprzybylo/COCPIT

cce6d614e9646bdf6c74c8163ad73126c429b6fa

[ "MIT" ]

null

import dash_bootstrap_components as dbc from dash import html import globals def legend(): return html.Div( children=[ dbc.CardGroup( className="justify-content-around", children=[ dbc.Col( className="agg legend p-1 d-flex", children=[ dbc.Row( html.Img( className='my-auto img-fluid card-img shadow p-1', src='assets/agg.png', ), ), dbc.Col( className='py-2 h3 text-white', children=[ dbc.Row( html.H4('Aggregate', className='m-1'), ), dbc.Row( html.H4( 'n = %d' % globals.part_type_count['agg'], id='agg-count', className='m-1 mx-auto fw-normal', ), ), ], ), ], ), dbc.Col( className="budding legend p-1 d-flex justify-space-between", children=[ dbc.Row( html.Img( className='my-auto img-fluid card-img shadow p-1', src='assets/budding.png', ), ), dbc.Col( className='py-2 h3 text-white', children=[ dbc.Row( html.H4('Budding Rosette', className='m-1'), ), dbc.Row( html.H4( 'n = %d' % globals.part_type_count['budding'], id='budding-count', className='m-1 mx-auto fw-normal', ), ), ], ), ], ), dbc.Col( className="bullet legend p-1 d-flex justify-space-between", children=[ dbc.Row( html.Img( className='img-fluid card-img shadow p-1', src='assets/bullet.png', ), ), dbc.Col( className='py-2 h3 text-white', children=[ dbc.Row( html.H4('Bullet Rosette', className='m-1'), ), dbc.Row( html.H4( 'n = %d' % globals.part_type_count['bullet'], id='bullet-count', className='m-1 mx-auto fw-normal', ), ), ], ), ], ), dbc.Col( className="column legend p-1 d-flex justify-space-between", children=[ dbc.Row( html.Img( className='my-auto img-fluid card-img shadow p-1', src='assets/column.png', ), ), dbc.Col( className='py-2 h3 text-white', children=[ dbc.Row( html.H4('Column', className='m-1'), ), dbc.Row( html.H4( 'n = %d' % globals.part_type_count['column'], id='column-count', className='m-1 mx-auto fw-normal', ), ), ], ), ], ), dbc.Col( className="compact legend p-1 d-flex justify-space-between", children=[ dbc.Row( html.Img( className='my-auto img-fluid card-img shadow p-1', src='assets/compact.png', ), ), dbc.Col( className='py-2 h3 text-white', children=[ dbc.Row( html.H4('Compact Irregular', className='m-1'), ), dbc.Row( html.H4( 'n = %d' % globals.part_type_count['compact'], id='compact-count', className='m-1 mx-auto fw-normal', ), ), ], ), ], ), dbc.Col( className="planar legend p-1 d-flex justify-space-between", children=[ dbc.Row( html.Img( className='my-auto img-fluid card-img shadow p-1', src='assets/planar.png', ), ), dbc.Col( className='py-2 h3 text-white', children=[ dbc.Row( html.H4( 'Planar Polycrystal', className='m-1', ), ), dbc.Row( html.H4( 'n = %d' % globals.part_type_count['planar'], id='planar-count', className='m-1 mx-auto fw-normal', ), ), ], ), ], ), dbc.Col( className="rimed legend p-1 d-flex justify-space-between", children=[ dbc.Row( html.Img( className='my-auto img-fluid card-img shadow p-1', src='assets/rimed.png', ), ), dbc.Col( className='py-2 h3 text-white', children=[ dbc.Row( html.H4('Rimed', className='m-1'), ), dbc.Row( html.H4( 'n = %d' % globals.part_type_count['rimed'], id='rimed-count', className='m-1 mx-auto fw-normal', ), ), ], ), ], ), ], ), ], )

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null

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1

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9

ef99ad58442813b7e4cbcd9b851f04638429bdb0

12,761

py

Python

state-change-localization-classification/slowFast-perceiver/models/multi_models.py

EGO4D/hands-and-objects

76d6ce6af1a9db4007ea24eb315f3f0eaea26bc2

[ "MIT" ]

24

2021-10-15T20:17:38.000Z

2022-03-30T18:54:55.000Z

state-change-localization-classification/slowFast-perceiver/models/multi_models.py

EGO4D/hands-and-objects

76d6ce6af1a9db4007ea24eb315f3f0eaea26bc2

[ "MIT" ]

1

2022-03-09T03:35:42.000Z

2022-03-10T20:50:24.000Z

state-change-localization-classification/slowFast-perceiver/models/multi_models.py

EGO4D/hands-and-objects

76d6ce6af1a9db4007ea24eb315f3f0eaea26bc2

[ "MIT" ]

4

2021-11-18T19:22:16.000Z

2022-03-21T02:51:35.000Z

#!/usr/bin/env python3 # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved. """Video models.""" import torch import torch.nn as nn from .build import MODEL_REGISTRY from .video_model_builder import ResNet, SlowFast, _POOL1, SlowFastTx, SlowFastPerceiver, Perceiver """HEAD""" class MultiTaskHead(nn.Module): def __init__( self, dim_in, num_classes, pool_size, dropout_rate=0.0, act_func="softmax", test_noact=False, ): super(MultiTaskHead, self).__init__() assert ( len({len(pool_size), len(dim_in)}) == 1 ), "pathway dimensions are not consistent." self.num_pathways = len(pool_size) self.test_noact = test_noact for pathway in range(self.num_pathways): if pool_size[pathway] is None: avg_pool = nn.AdaptiveAvgPool3d((1, 1, 1)) else: avg_pool = nn.AvgPool3d(pool_size[pathway], stride=1) self.add_module("pathway{}_avgpool".format(pathway), avg_pool) if dropout_rate > 0.0: self.dropout = nn.Dropout(dropout_rate) # Perform FC in a fully convolutional manner. The FC layer will be # initialized with a different std comparing to convolutional layers. projs = [] for n in num_classes: projs.append(nn.Linear(sum(dim_in), n, bias=True)) self.projections = nn.ModuleList(projs) # Softmax for evaluation and testing. if act_func == "softmax": self.act = nn.Softmax(dim=4) elif act_func == "sigmoid": self.act = nn.Sigmoid() else: raise NotImplementedError( "{} is not supported as an activation" "function.".format(act_func) ) def forward(self, inputs): assert ( len(inputs) == self.num_pathways ), "Input tensor does not contain {} pathway".format(self.num_pathways) pool_out = [] for pathway in range(self.num_pathways): m = getattr(self, "pathway{}_avgpool".format(pathway)) pool_out.append(m(inputs[pathway])) x = torch.cat(pool_out, 1) # (N, C, T, H, W) -> (N, T, H, W, C). x = x.permute((0, 2, 3, 4, 1)) # Perform dropout. feat = x if hasattr(self, "dropout"): feat = self.dropout(feat) x = [] for projection in self.projections: # print(feat.shape, projection) x.append(projection(feat)) # Performs fully convlutional inference. if not self.training: if not self.test_noact: x = [self.act(x_i) for x_i in x] x = [x_i.mean([1, 2, 3]) for x_i in x] x = [x_i.view(x_i.shape[0], -1) for x_i in x] return x class MultiTaskPerceiverHead(nn.Module): def __init__( self, dim_in, num_classes, pool_size, dropout_rate=0.0, act_func="softmax", test_noact=False, ): super(MultiTaskPerceiverHead, self).__init__() assert len(dim_in) == 3 self.num_pathways = len(pool_size) # slow+fast path self.test_noact = test_noact # fuse weight of output from perceiver to slowfast self.fuse = nn.Parameter(0.01 * torch.ones(1)) for pathway in range(self.num_pathways): if pool_size[pathway] is None: avg_pool = nn.AdaptiveAvgPool3d((1, 1, 1)) else: avg_pool = nn.AvgPool3d(pool_size[pathway], stride=1) self.add_module("pathway{}_avgpool".format(pathway), avg_pool) if dropout_rate > 0.0: self.dropout = nn.Dropout(dropout_rate) # Perform FC in a fully convolutional manner. The FC layer will be # initialized with a different std comparing to convolutional layers. projs = [] for n in num_classes: projs.append(nn.Linear(sum(dim_in[:self.num_pathways]), n, bias=True)) self.projections = nn.ModuleList(projs) # initialized projection for perceiver path projs1 = [] for n in num_classes: projs1.append(nn.Linear(sum(dim_in[self.num_pathways:]), n, bias=True)) self.projections1 = nn.ModuleList(projs1) # Softmax for evaluation and testing. if act_func == "softmax": self.act = nn.Softmax(dim=4) elif act_func == "sigmoid": self.act = nn.Sigmoid() else: raise NotImplementedError( "{} is not supported as an activation" "function.".format(act_func) ) def forward(self, inputs): pool_out = [] for pathway in range(self.num_pathways): m = getattr(self, "pathway{}_avgpool".format(pathway)) pool_out.append(m(inputs[pathway])) x = torch.cat(pool_out, 1) # (N, C, T, H, W) -> (N, T, H, W, C). x = x.permute((0, 2, 3, 4, 1)) # Perform dropout. feat = x if hasattr(self, "dropout"): feat = self.dropout(feat) # (N, C) -> (N, 1, 1, 1, C). x1 = inputs[-1] N, C = x1.shape x1 = x1.reshape(N, 1, 1, 1, C) x = [] for projection, projection1 in zip(self.projections, self.projections1): # print(feat.shape, projection) fused_projecton = projection(feat) + self.fuse * projection1(x1) x.append(fused_projecton) # Performs fully convlutional inference. if not self.training: if not self.test_noact: x = [self.act(x_i) for x_i in x] x = [x_i.mean([1, 2, 3]) for x_i in x] x = [x_i.view(x_i.shape[0], -1) for x_i in x] return x class PerceiverHead(nn.Module): def __init__( self, dim_in, num_classes, dropout_rate=0.0, act_func="softmax", test_noact=False, ): super(PerceiverHead, self).__init__() self.test_noact = test_noact # Perform FC in a fully convolutional manner. The FC layer will be # initialized with a different std comparing to convolutional layers. projs = [] for n in num_classes: projs.append(nn.Linear(sum(dim_in), n, bias=True)) self.projections = nn.ModuleList(projs) # Softmax for evaluation and testing. if act_func == "softmax": self.act = nn.Softmax(dim=4) elif act_func == "sigmoid": self.act = nn.Sigmoid() else: raise NotImplementedError( "{} is not supported as an activation" "function.".format(act_func) ) def forward(self, inputs): # (N, C) -> (N, 1, 1, 1, C). feat = inputs N, C = feat.shape feat = feat.reshape(N, 1, 1, 1, C) x = [] for projection in self.projections: # print(feat.shape, projection) x.append(projection(feat)) # Performs fully convlutional inference. if not self.training: if not self.test_noact: x = [self.act(x_i) for x_i in x] x = [x_i.mean([1, 2, 3]) for x_i in x] x = [x_i.view(x_i.shape[0], -1) for x_i in x] return x """MODEL""" @MODEL_REGISTRY.register() class MultiTaskResNet(ResNet): def _construct_network(self, cfg): super()._construct_network(cfg, with_head=False) width_per_group = cfg.RESNET.WIDTH_PER_GROUP pool_size = _POOL1[cfg.MODEL.ARCH] head = MultiTaskHead( dim_in=[width_per_group * 32], num_classes=cfg.MODEL.NUM_CLASSES, pool_size=[ [ cfg.DATA.NUM_FRAMES // pool_size[0][0], cfg.DATA.CROP_SIZE // 32 // pool_size[0][1], cfg.DATA.CROP_SIZE // 32 // pool_size[0][2], ] ], # None for AdaptiveAvgPool3d((1, 1, 1)) dropout_rate=cfg.MODEL.DROPOUT_RATE, act_func=cfg.MODEL.HEAD_ACT, test_noact=cfg.TEST.NO_ACT, ) self.head_name = "headepic" self.add_module(self.head_name, head) @MODEL_REGISTRY.register() class MultiTaskSlowFast(SlowFast): def _construct_network(self, cfg): super()._construct_network(cfg, with_head=False) width_per_group = cfg.RESNET.WIDTH_PER_GROUP pool_size = _POOL1[cfg.MODEL.ARCH] head = MultiTaskHead( dim_in=[ width_per_group * 32, width_per_group * 32 // cfg.SLOWFAST.BETA_INV, ], num_classes=cfg.MODEL.NUM_CLASSES, pool_size=[ [ cfg.DATA.NUM_FRAMES // cfg.SLOWFAST.ALPHA // pool_size[0][0], cfg.DATA.CROP_SIZE // 32 // pool_size[0][1], cfg.DATA.CROP_SIZE // 32 // pool_size[0][2], ], [ cfg.DATA.NUM_FRAMES // pool_size[1][0], cfg.DATA.CROP_SIZE // 32 // pool_size[1][1], cfg.DATA.CROP_SIZE // 32 // pool_size[1][2], ], ], # None for AdaptiveAvgPool3d((1, 1, 1)) dropout_rate=cfg.MODEL.DROPOUT_RATE, act_func=cfg.MODEL.HEAD_ACT, test_noact=cfg.TEST.NO_ACT, ) self.head_name = "headepic" self.add_module(self.head_name, head) @MODEL_REGISTRY.register() class MultiTaskSlowFastPr(SlowFastPerceiver): # slowfast with Perceiver def _construct_network(self, cfg): super()._construct_network(cfg, with_head=False) width_per_group = cfg.RESNET.WIDTH_PER_GROUP pool_size = _POOL1[cfg.MODEL.ARCH] num_frames = cfg.DATA.SAMPLING_FPS * cfg.DATA.CLIP_LEN_SEC head = MultiTaskPerceiverHead( dim_in=[ width_per_group * 32, width_per_group * 32 // cfg.SLOWFAST.BETA_INV, cfg.PERCEIVER.LATENT_DIM ], num_classes=cfg.MODEL.NUM_CLASSES, pool_size=[ [ num_frames // cfg.SLOWFAST.ALPHA // pool_size[0][0], cfg.DATA.CROP_SIZE // 32 // pool_size[0][1], cfg.DATA.CROP_SIZE // 32 // pool_size[0][2], ], [ num_frames // pool_size[1][0], cfg.DATA.CROP_SIZE // 32 // pool_size[1][1], cfg.DATA.CROP_SIZE // 32 // pool_size[1][2], ], ], # None for AdaptiveAvgPool3d((1, 1, 1)) dropout_rate=cfg.MODEL.DROPOUT_RATE, act_func=cfg.MODEL.HEAD_ACT, test_noact=cfg.TEST.NO_ACT, ) self.head_name = "headepic" self.add_module(self.head_name, head) @MODEL_REGISTRY.register() class MultiTaskPerceiver(Perceiver): def _construct_network(self, cfg): super()._construct_network(cfg, with_head=False) head = PerceiverHead( dim_in=[cfg.PERCEIVER.LATENT_DIM], num_classes=cfg.MODEL.NUM_CLASSES, dropout_rate=cfg.MODEL.DROPOUT_RATE, act_func=cfg.MODEL.HEAD_ACT, test_noact=cfg.TEST.NO_ACT, ) self.head_name = "headepic" self.add_module(self.head_name, head) @MODEL_REGISTRY.register() class MultiTaskSlowFastTx(SlowFastTx): # slowfast with transformer def _construct_network(self, cfg): super()._construct_network(cfg, with_head=False) width_per_group = cfg.RESNET.WIDTH_PER_GROUP pool_size = _POOL1[cfg.MODEL.ARCH] head = MultiTaskHead( dim_in=[ width_per_group * 32, width_per_group * 32 // cfg.SLOWFAST.BETA_INV, ], num_classes=cfg.MODEL.NUM_CLASSES, pool_size=[ [ cfg.DATA.NUM_FRAMES // cfg.SLOWFAST.ALPHA // pool_size[0][0], cfg.DATA.CROP_SIZE // 32 // pool_size[0][1], cfg.DATA.CROP_SIZE // 32 // pool_size[0][2], ], [ cfg.DATA.NUM_FRAMES // pool_size[1][0], cfg.DATA.CROP_SIZE // 32 // pool_size[1][1], cfg.DATA.CROP_SIZE // 32 // pool_size[1][2], ], ], # None for AdaptiveAvgPool3d((1, 1, 1)) dropout_rate=cfg.MODEL.DROPOUT_RATE, act_func=cfg.MODEL.HEAD_ACT, test_noact=cfg.TEST.NO_ACT, ) self.head_name = "headepic" self.add_module(self.head_name, head)

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99

0.549879

1,571

12,761

4.264163

0.122215

0.04538

0.029109

0.031348

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0.800717

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null

0

7

4bd811c9d764a5dc715c82901fa542bc164a6bb1

3,815

py

Python

symplectic_map/gpu_symplectic_map.py

carlidel/c_symplectic_map

4c5cc8a0c9fa1d5b28588aec1ab005e2747dc231

[ "MIT" ]

null

symplectic_map/gpu_symplectic_map.py

carlidel/c_symplectic_map

4c5cc8a0c9fa1d5b28588aec1ab005e2747dc231

[ "MIT" ]

null

symplectic_map/gpu_symplectic_map.py

carlidel/c_symplectic_map

4c5cc8a0c9fa1d5b28588aec1ab005e2747dc231

[ "MIT" ]

null

import numpy as np from numba import njit, cuda from numba.cuda import random import math from numba import float64, int32 @cuda.jit def symplectic_map_common(x, px, step_values, noise_array, epsilon, alpha, beta, x_star, delta, omega_0, omega_1, omega_2, action_radius): i = cuda.threadIdx.x j = cuda.threadIdx.x + cuda.blockIdx.x * cuda.blockDim.x action = cuda.shared.array(shape=(512), dtype=float64) rot_angle = cuda.shared.array(shape=(512), dtype=float64) temp1 = cuda.shared.array(shape=(512), dtype=float64) temp2 = cuda.shared.array(shape=(512), dtype=float64) l_x = cuda.shared.array(shape=(512), dtype=float64) l_px = cuda.shared.array(shape=(512), dtype=float64) l_step = cuda.shared.array(shape=(512), dtype=int32) if j < x.shape[0]: l_x[i] = x[j] l_px[i] = px[j] l_step[i] = step_values[j] for k in range(noise_array.shape[0]): action[i] = (l_x[i] * l_x[i] + l_px[i] * l_px[i]) * 0.5 rot_angle[i] = omega_0 + (omega_1 + action[i]) + (0.5 * omega_2 * action[i] * action[i]) if (l_x[i] == 0.0 and px[i] == 0.0) or action[i] >= action_radius: l_x[i] = 0.0 l_px[i] = 0.0 break temp1[i] = l_x[i] temp2[i] = ( l_px[i] + epsilon * noise_array[k] * (l_x[i] ** beta) * math.exp(-((x_star / (delta + abs(l_x[i]))) ** alpha)) ) l_x[i] = math.cos(rot_angle[i]) * temp1[i] + \ math.sin(rot_angle[i]) * temp2[i] l_px[i] = -math.sin(rot_angle[i]) * temp1[i] + \ math.cos(rot_angle[i]) * temp2[i] l_step[i] += 1 x[j] = l_x[i] px[j] = l_px[i] step_values[j] = l_step[i] @cuda.jit def symplectic_map_personal(x, px, step_values, n_iterations, epsilon, alpha, beta, x_star, delta, omega_0, omega_1, omega_2, action_radius, rng_states, gamma): i = cuda.threadIdx.x j = cuda.threadIdx.x + cuda.blockIdx.x * cuda.blockDim.x action = cuda.shared.array(shape=(512), dtype=float64) rot_angle = cuda.shared.array(shape=(512), dtype=float64) temp1 = cuda.shared.array(shape=(512), dtype=float64) temp2 = cuda.shared.array(shape=(512), dtype=float64) noise = cuda.shared.array(shape=(512), dtype=float64) l_x = cuda.shared.array(shape=(512), dtype=float64) l_px = cuda.shared.array(shape=(512), dtype=float64) l_step = cuda.shared.array(shape=(512), dtype=int32) noise[i] = random.xoroshiro128p_normal_float64(rng_states, j) if j < x.shape[0]: l_x[i] = x[j] l_px[i] = px[j] l_step[i] = step_values[j] for k in range(n_iterations): action[i] = (l_x[i] * l_x[i] + l_px[i] * l_px[i]) * 0.5 rot_angle[i] = omega_0 + (omega_1 + action[i]) + \ (0.5 * omega_2 * action[i] * action[i]) if (l_x[i] == 0.0 and l_px[i] == 0.0) or action[i] >= action_radius: l_x[i] = 0.0 l_px[i] = 0.0 break temp1[i] = l_x[i] temp2[i] = ( l_px[i] + epsilon * noise[i] * (l_x[i] ** beta) * math.exp(-((x_star / (delta + abs(l_x[i]))) ** alpha)) ) l_x[i] = math.cos(rot_angle[i]) * temp1[i] + \ math.sin(rot_angle[i]) * temp2[i] l_px[i] = -math.sin(rot_angle[i]) * temp1[i] + \ math.cos(rot_angle[i]) * temp2[i] l_step[i] += 1 noise[i] = random.xoroshiro128p_normal_float64(rng_states, j) + gamma * noise[i] x[j] = l_x[i] px[j] = l_px[i] step_values[j] = l_step[i]

40.157895

161

0.531062

593

3,815

3.246206

0.116358

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0.031169

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1

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null

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7

4be452afc63264c6f3f7b06737d876f2898927e8

93

py

Python

exercicios/aula11.py

anildoferreira/CursoPython-PyCharm

56c3962d6cc7d43482a9649a482619adba780d81

[ "MIT" ]

null

exercicios/aula11.py

anildoferreira/CursoPython-PyCharm

56c3962d6cc7d43482a9649a482619adba780d81

[ "MIT" ]

null

exercicios/aula11.py

anildoferreira/CursoPython-PyCharm

56c3962d6cc7d43482a9649a482619adba780d81

[ "MIT" ]

null

print('\33[31mOlá mundo!') print('\33[7;32mOlá mundo!\33[m') print('\33[7;30mOlá mundo\33[m')

31

33

0.666667

18

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0.258065

0

0.204545

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0

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1

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null

0

1

0

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8

ef2e5c2f6f53fbb02b12191e9f12c3d53aa73721

3,351

py

Python

tests/data/preview/remove_newline_after_code_block_open.py

hampuskraft/black

f2d279faed9e545b8d6fbb620fa239dee5e67520

[ "MIT" ]

null

tests/data/preview/remove_newline_after_code_block_open.py

hampuskraft/black

f2d279faed9e545b8d6fbb620fa239dee5e67520

[ "MIT" ]

2

2021-12-15T08:11:30.000Z

2021-12-15T08:11:45.000Z

tests/data/preview/remove_newline_after_code_block_open.py

hampuskraft/black

f2d279faed9e545b8d6fbb620fa239dee5e67520

[ "MIT" ]

null

import random def foo1(): print("The newline above me should be deleted!") def foo2(): print("All the newlines above me should be deleted!") def foo3(): print("No newline above me!") print("There is a newline above me, and that's OK!") def foo4(): # There is a comment here print("The newline above me should not be deleted!") class Foo: def bar(self): print("The newline above me should be deleted!") for i in range(5): print(f"{i}) The line above me should be removed!") for i in range(5): print(f"{i}) The lines above me should be removed!") for i in range(5): for j in range(7): print(f"{i}) The lines above me should be removed!") if random.randint(0, 3) == 0: print("The new line above me is about to be removed!") if random.randint(0, 3) == 0: print("The new lines above me is about to be removed!") if random.randint(0, 3) == 0: if random.uniform(0, 1) > 0.5: print("Two lines above me are about to be removed!") while True: print("The newline above me should be deleted!") while True: print("The newlines above me should be deleted!") while True: while False: print("The newlines above me should be deleted!") with open("/path/to/file.txt", mode="w") as file: file.write("The new line above me is about to be removed!") with open("/path/to/file.txt", mode="w") as file: file.write("The new lines above me is about to be removed!") with open("/path/to/file.txt", mode="r") as read_file: with open("/path/to/output_file.txt", mode="w") as write_file: write_file.writelines(read_file.readlines()) # output import random def foo1(): print("The newline above me should be deleted!") def foo2(): print("All the newlines above me should be deleted!") def foo3(): print("No newline above me!") print("There is a newline above me, and that's OK!") def foo4(): # There is a comment here print("The newline above me should not be deleted!") class Foo: def bar(self): print("The newline above me should be deleted!") for i in range(5): print(f"{i}) The line above me should be removed!") for i in range(5): print(f"{i}) The lines above me should be removed!") for i in range(5): for j in range(7): print(f"{i}) The lines above me should be removed!") if random.randint(0, 3) == 0: print("The new line above me is about to be removed!") if random.randint(0, 3) == 0: print("The new lines above me is about to be removed!") if random.randint(0, 3) == 0: if random.uniform(0, 1) > 0.5: print("Two lines above me are about to be removed!") while True: print("The newline above me should be deleted!") while True: print("The newlines above me should be deleted!") while True: while False: print("The newlines above me should be deleted!") with open("/path/to/file.txt", mode="w") as file: file.write("The new line above me is about to be removed!") with open("/path/to/file.txt", mode="w") as file: file.write("The new lines above me is about to be removed!") with open("/path/to/file.txt", mode="r") as read_file: with open("/path/to/output_file.txt", mode="w") as write_file: write_file.writelines(read_file.readlines())

17.636842

66

0.636825

565

3,351

3.759292

0.125664

0.112053

0.122411

0.127119

0.997175

0

0.016349

0.233363

3,351

189

67

17.730159

0.810432

0.016115

0

1

0

0.471303

0.014576

0

1

0.121951

false

0

0.02439

0

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0

null

0

1

0

1

0

null

0

7

ef4efb1207989009287f2e5347409f08b9317686

4,979

py

Python

openprocurement/audit/inspection/tests/test_monitoring_inspections.py

ProzorroUKR/openprocurement.audit.api

a17836e29bca28d9151c091e1d2e42de9f70b949

[ "Apache-2.0" ]

1

2018-05-21T08:14:55.000Z

openprocurement/audit/inspection/tests/test_monitoring_inspections.py

ProzorroUKR/openprocurement.audit.api

a17836e29bca28d9151c091e1d2e42de9f70b949

[ "Apache-2.0" ]

59

2018-05-18T02:09:47.000Z

2019-05-29T12:10:06.000Z

openprocurement/audit/inspection/tests/test_monitoring_inspections.py

ProzorroUKR/openprocurement.audit.api

a17836e29bca28d9151c091e1d2e42de9f70b949

[ "Apache-2.0" ]

1

2020-06-15T11:04:25.000Z

from freezegun import freeze_time from openprocurement.audit.inspection.tests.base import BaseWebTest @freeze_time('2018-01-01T11:00:00+02:00') class MonitoringInspectionsResourceTest(BaseWebTest): def test_get_empty(self): response = self.app.get('/monitorings/{}/inspections'.format("f" * 32)) self.assertEqual(response.status, '200 OK') self.assertEqual(response.content_type, 'application/json') self.assertEqual(response.json['data'], []) def test_get(self): self.create_inspection() for uid in self.monitoring_ids: response = self.app.get('/monitorings/{}/inspections'.format(uid)) self.assertEqual(response.status, '200 OK') self.assertEqual(response.content_type, 'application/json') self.assertEqual( response.json['data'], [{ u'dateCreated': u'2018-01-01T11:00:00+02:00', u'dateModified': u'2018-01-01T11:00:00+02:00', u'inspection_id': self.inspectionId, u'id': self.inspection_id }] ) def test_get_opt_fields(self): self.create_inspection() for uid in self.monitoring_ids: response = self.app.get('/monitorings/{}/inspections?opt_fields=description'.format(uid)) self.assertEqual(response.status, '200 OK') self.assertEqual(response.content_type, 'application/json') self.assertEqual( response.json['data'], [{ u'description': u'Yo-ho-ho', u'dateCreated': u'2018-01-01T11:00:00+02:00', u'dateModified': u'2018-01-01T11:00:00+02:00', u'inspection_id': self.inspectionId, u'id': self.inspection_id }] ) def test_get_two(self): self.create_inspection() expected_one = { u'dateCreated': u'2018-01-01T11:00:00+02:00', u'dateModified': u'2018-01-01T11:00:00+02:00', u'inspection_id': self.inspectionId, u'id': self.inspection_id } with freeze_time('2018-01-01T11:00:50+02:00'): self.create_inspection() expected_two = { u'dateCreated': u'2018-01-01T11:00:50+02:00', u'dateModified': u'2018-01-01T11:00:50+02:00', u'inspection_id': self.inspectionId, u'id': self.inspection_id } for uid in self.monitoring_ids: response = self.app.get('/monitorings/{}/inspections'.format(uid)) self.assertEqual(response.status, '200 OK') self.assertEqual(response.content_type, 'application/json') self.assertEqual( response.json['data'], [expected_one, expected_two] ) def test_get_with_pagination(self): for i in range(5): self.create_inspection() for uid in self.monitoring_ids: response = self.app.get( '/monitorings/{}/inspections?limit=2&page=2'.format(uid) ) self.assertEqual(response.status_code, 200) self.assertEqual(response.content_type, 'application/json') self.assertEqual(response.json['total'], 5) self.assertEqual(response.json['count'], 2) self.assertEqual(response.json['limit'], 2) self.assertEqual(response.json['page'], 2) self.assertEqual(len(response.json['data']), 2) def test_get_with_pagination_not_full_page(self): for i in range(5): self.create_inspection() for uid in self.monitoring_ids: response = self.app.get( '/monitorings/{}/inspections?limit=2&page=3'.format(uid) ) self.assertEqual(response.status_code, 200) self.assertEqual(response.content_type, 'application/json') self.assertEqual(response.json['total'], 5) self.assertEqual(response.json['count'], 1) self.assertEqual(response.json['limit'], 2) self.assertEqual(response.json['page'], 3) self.assertEqual(len(response.json['data']), 1) def test_get_with_pagination_out_of_bounds_page(self): for i in range(5): self.create_inspection() for uid in self.monitoring_ids: response = self.app.get( '/monitorings/{}/inspections?limit=2&page=4'.format(uid) ) self.assertEqual(response.status_code, 200) self.assertEqual(response.content_type, 'application/json') self.assertEqual(response.json['total'], 5) self.assertEqual(response.json['count'], 0) self.assertEqual(response.json['limit'], 2) self.assertEqual(response.json['page'], 4) self.assertEqual(len(response.json['data']), 0)

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0.243902

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102

40.153226

0.734821

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null

0

1

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1

0

null

0

7

326b2844dff32f5c760166bf1fc442f18e606c73

17,968

py

Python

test/test_search_service.py

mmalandra-kb4/service-auto-analyzer

475e343d918254a33cb8fc953aa75dacab62465b

[ "Apache-2.0" ]

8

2020-06-04T10:32:27.000Z

2022-02-17T08:11:00.000Z

test/test_search_service.py

mmalandra-kb4/service-auto-analyzer

475e343d918254a33cb8fc953aa75dacab62465b

[ "Apache-2.0" ]

9

2019-12-12T11:18:37.000Z

2022-02-19T16:17:28.000Z

test/test_search_service.py

mmalandra-kb4/service-auto-analyzer

475e343d918254a33cb8fc953aa75dacab62465b

[ "Apache-2.0" ]

12

2020-04-01T15:19:40.000Z

2022-03-03T14:41:55.000Z

""" * Copyright 2019 EPAM Systems * * 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. """ import unittest from unittest.mock import MagicMock import json from http import HTTPStatus import sure # noqa import httpretty import commons.launch_objects as launch_objects from service.search_service import SearchService from test.test_service import TestService from utils import utils class TestSearchService(TestService): @utils.ignore_warnings def test_search_logs(self): """Test search logs""" tests = [ { "test_calls": [{"method": httpretty.GET, "uri": "/1", "status": HTTPStatus.OK, }, {"method": httpretty.GET, "uri": "/1/_search?scroll=5m&size=1000", "status": HTTPStatus.OK, "content_type": "application/json", "rq": utils.get_fixture(self.search_logs_rq), "rs": utils.get_fixture( self.no_hits_search_rs), }, ], "rq": launch_objects.SearchLogs(launchId=1, launchName="Launch 1", itemId=3, projectId=1, filteredLaunchIds=[1], logMessages=["error"], logLines=-1), "expected_count": 0 }, { "test_calls": [{"method": httpretty.GET, "uri": "/rp_1", "status": HTTPStatus.OK, }, {"method": httpretty.GET, "uri": "/rp_1/_search?scroll=5m&size=1000", "status": HTTPStatus.OK, "content_type": "application/json", "rq": utils.get_fixture(self.search_logs_rq), "rs": utils.get_fixture( self.no_hits_search_rs), }, ], "rq": launch_objects.SearchLogs(launchId=1, launchName="Launch 1", itemId=3, projectId=1, filteredLaunchIds=[1], logMessages=["error"], logLines=-1), "app_config": { "esHost": "http://localhost:9200", "esUser": "", "esPassword": "", "esVerifyCerts": False, "esUseSsl": False, "esSslShowWarn": False, "turnOffSslVerification": True, "esCAcert": "", "esClientCert": "", "esClientKey": "", "appVersion": "", "minioRegion": "", "minioBucketPrefix": "", "filesystemDefaultPath": "", "esChunkNumber": 1000, "binaryStoreType": "minio", "minioHost": "", "minioAccessKey": "", "minioSecretKey": "", "esProjectIndexPrefix": "rp_" }, "expected_count": 0 }, { "test_calls": [{"method": httpretty.GET, "uri": "/1", "status": HTTPStatus.OK, }, ], "rq": launch_objects.SearchLogs(launchId=1, launchName="Launch 1", itemId=3, projectId=1, filteredLaunchIds=[1], logMessages=[""], logLines=-1), "expected_count": 0 }, { "test_calls": [{"method": httpretty.GET, "uri": "/1", "status": HTTPStatus.OK, }, {"method": httpretty.GET, "uri": "/1/_search?scroll=5m&size=1000", "status": HTTPStatus.OK, "content_type": "application/json", "rq": utils.get_fixture(self.search_logs_rq), "rs": utils.get_fixture( self.one_hit_search_rs_search_logs), }, ], "rq": launch_objects.SearchLogs(launchId=1, launchName="Launch 1", itemId=3, projectId=1, filteredLaunchIds=[1], logMessages=["error"], logLines=-1), "expected_count": 0 }, { "test_calls": [{"method": httpretty.GET, "uri": "/1", "status": HTTPStatus.OK, }, {"method": httpretty.GET, "uri": "/1/_search?scroll=5m&size=1000", "status": HTTPStatus.OK, "content_type": "application/json", "rq": utils.get_fixture( self.search_logs_rq_not_found), "rs": utils.get_fixture( self.two_hits_search_rs_search_logs), }, {"method": httpretty.GET, "uri": "/1/_search?scroll=5m&size=1000", "status": HTTPStatus.OK, "content_type": "application/json", "rq": utils.get_fixture( self.search_not_merged_logs_by_test_item), "rs": utils.get_fixture( self.two_hits_search_rs_search_logs), }, ], "rq": launch_objects.SearchLogs(launchId=1, launchName="Launch 1", itemId=3, projectId=1, filteredLaunchIds=[1], logMessages=["error occured once"], logLines=-1), "expected_count": 1 }, { "test_calls": [{"method": httpretty.GET, "uri": "/1", "status": HTTPStatus.OK, }, {"method": httpretty.GET, "uri": "/1/_search?scroll=5m&size=1000", "status": HTTPStatus.OK, "content_type": "application/json", "rq": utils.get_fixture( self.search_logs_rq_with_status_codes), "rs": utils.get_fixture( self.two_hits_search_rs_search_logs_with_status_codes), }, {"method": httpretty.GET, "uri": "/1/_search?scroll=5m&size=1000", "status": HTTPStatus.OK, "content_type": "application/json", "rq": utils.get_fixture( self.search_not_merged_logs_by_test_item), "rs": utils.get_fixture( self.two_hits_search_rs_search_logs_with_status_codes), }], "rq": launch_objects.SearchLogs( launchId=1, launchName="Launch 1", itemId=3, projectId=1, filteredLaunchIds=[1], logMessages=["error occured once status code: 500 but got 200"], logLines=-1), "expected_count": 1, "response": [launch_objects.SearchLogInfo(logId=2, testItemId=1, matchScore=100)] }, { "test_calls": [{"method": httpretty.GET, "uri": "/rp_1", "status": HTTPStatus.OK, }, {"method": httpretty.GET, "uri": "/rp_1/_search?scroll=5m&size=1000", "status": HTTPStatus.OK, "content_type": "application/json", "rq": utils.get_fixture( self.search_logs_rq_not_found), "rs": utils.get_fixture( self.two_hits_search_rs_search_logs), }, {"method": httpretty.GET, "uri": "/rp_1/_search?scroll=5m&size=1000", "status": HTTPStatus.OK, "content_type": "application/json", "rq": utils.get_fixture( self.search_not_merged_logs_by_test_item), "rs": utils.get_fixture( self.two_hits_search_rs_search_logs), }], "rq": launch_objects.SearchLogs(launchId=1, launchName="Launch 1", itemId=3, projectId=1, filteredLaunchIds=[1], logMessages=["error occured once"], logLines=-1), "app_config": { "esHost": "http://localhost:9200", "esUser": "", "esPassword": "", "esVerifyCerts": False, "esUseSsl": False, "esSslShowWarn": False, "turnOffSslVerification": True, "esCAcert": "", "esClientCert": "", "esClientKey": "", "appVersion": "", "minioRegion": "", "minioBucketPrefix": "", "filesystemDefaultPath": "", "esChunkNumber": 1000, "binaryStoreType": "minio", "minioHost": "", "minioAccessKey": "", "minioSecretKey": "", "esProjectIndexPrefix": "rp_" }, "expected_count": 1, "response": [launch_objects.SearchLogInfo(logId=1, testItemId=1, matchScore=100)] }, { "test_calls": [{"method": httpretty.GET, "uri": "/1", "status": HTTPStatus.OK, }, {"method": httpretty.GET, "uri": "/1/_search?scroll=5m&size=1000", "status": HTTPStatus.OK, "content_type": "application/json", "rq": utils.get_fixture( self.search_logs_rq_not_found), "rs": utils.get_fixture( self.two_hits_search_rs_search_logs), }, {"method": httpretty.GET, "uri": "/1/_search?scroll=5m&size=1000", "status": HTTPStatus.OK, "content_type": "application/json", "rq": utils.get_fixture( self.search_not_merged_logs_by_test_item), "rs": utils.get_fixture( self.two_hits_search_rs_search_logs), }], "rq": launch_objects.SearchLogs(launchId=1, launchName="Launch 1", itemId=3, projectId=1, filteredLaunchIds=[1], logMessages=["error occured once"], logLines=-1, analyzerConfig=launch_objects.AnalyzerConf( allMessagesShouldMatch=True)), "expected_count": 1, "response": [launch_objects.SearchLogInfo(logId=1, testItemId=1, matchScore=100)] } ] for idx, test in enumerate(tests): with sure.ensure('Error in the test case number: {0}', idx): self._start_server(test["test_calls"]) app_config = self.app_config if "app_config" in test: app_config = test["app_config"] search_service = SearchService(app_config=app_config, search_cfg=self.get_default_search_config()) search_service.es_client.es_client.scroll = MagicMock(return_value=json.loads( utils.get_fixture(self.no_hits_search_rs))) response = search_service.search_logs(test["rq"]) response.should.have.length_of(test["expected_count"]) if "response" in test: response.should.equal(test["response"]) TestSearchService.shutdown_server(test["test_calls"]) if __name__ == '__main__': unittest.main()

56.503145

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1,050

17,968

5.328571

0.184762

0.032887

0.061662

0.078105

0.752994

0.748883

0.733512

0

0.024159

0.594557

17,968

317

104

56.681388

0.743857

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0

1

0

1

0

1

0

null

0

7

32abd73b62128f694f8b129b7e78f06ec4999b56

165

py

Python

vimscripts/bla.py

edgarklerks/dotfiles

6f25ee0cb110c7984ac4d88943c74abd4fd6dd44

[ "BSD-2-Clause" ]

null

vimscripts/bla.py

edgarklerks/dotfiles

6f25ee0cb110c7984ac4d88943c74abd4fd6dd44

[ "BSD-2-Clause" ]

null

vimscripts/bla.py

edgarklerks/dotfiles

6f25ee0cb110c7984ac4d88943c74abd4fd6dd44

[ "BSD-2-Clause" ]

null

test = "asddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddd"

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164

0.963636

2

165

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165

1

165

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null

0

1

0

1

0

1

null

1

0

7

0879551104b679623fd94850389268365ade3c85

4,987

py

Python

config.py

theshanky/Fingerprint-Liveness

4a303cc5043e8aef1bea59b581cf2943b773b97f

[ "MIT" ]

1

2020-07-10T08:50:23.000Z

config.py

theshanky/Fingerprint-Liveness

4a303cc5043e8aef1bea59b581cf2943b773b97f

[ "MIT" ]

null

config.py

theshanky/Fingerprint-Liveness

4a303cc5043e8aef1bea59b581cf2943b773b97f

[ "MIT" ]

null

# coding: utf8 import torch import warnings class DefaultConfig(object): model = 'MyMobilenet' # 使用的模型，名字必须与models/__init__.py中的名字一致 env = model # ATTACK = 1 GENUINE = 0 # train_filelists=[ # ['/home/shashank/Desktop/Fingerprint/dataset/colored','/home/shashank/Desktop/Fingerprint/dataset/colored/BiometrikaTrain/Livetest.txt',GENUINE], # ['/home/shashank/Desktop/Fingerprint/dataset/colored','/home/shashank/Desktop/Fingerprint/dataset/colored/BiometrikaTrain/Spooftest.txt',ATTACK] # ] # test_filelists=[ # ['/home/shashank/Desktop/Fingerprint/dataset/colored','/home/shashank/Desktop/Fingerprint/dataset/colored/BiometrikaTest/Livetest.txt',GENUINE], # ['/home/shashank/Desktop/Fingerprint/dataset/colored','/home/shashank/Desktop/Fingerprint/dataset/colored/BiometrikaTest/Spooftest.txt',ATTACK] # ] # train_filelists=[ # ['/home/shashank/Desktop/Fingerprint/dataset','/home/shashank/Desktop/Fingerprint/dataset/BiometrikaTrain/Livetest.txt',GENUINE], # ['/home/shashank/Desktop/Fingerprint/dataset','/home/shashank/Desktop/Fingerprint/dataset/BiometrikaTrain/Spooftest.txt',ATTACK] # ] # test_filelists=[ # ['/home/shashank/Desktop/Fingerprint/dataset','/home/shashank/Desktop/Fingerprint/dataset/BiometrikaTest/Livetest.txt',GENUINE], # ['/home/shashank/Desktop/Fingerprint/dataset','/home/shashank/Desktop/Fingerprint/dataset/BiometrikaTest/Spooftest.txt',ATTACK] # ] #GRAY # train_filelists=[ # ['/home/shashank/Desktop/Fingerprint/dataset','/home/shashank/Desktop/Fingerprint/dataset/gray/train/alivetest.txt',GENUINE], # ['/home/shashank/Desktop/Fingerprint/dataset','/home/shashank/Desktop/Fingerprint/dataset/gray/train/faketest.txt',ATTACK] # ] # test_filelists=[ # ['/home/shashank/Desktop/Fingerprint/dataset','/home/shashank/Desktop/Fingerprint/dataset/gray/Test/alivetest.txt',GENUINE], # ['/home/shashank/Desktop/Fingerprint/dataset','/home/shashank/Desktop/Fingerprint/dataset/gray/Test/faketest.txt',ATTACK] # ] #CrossMatch # train_filelists=[ # ['/home/shashank/Desktop/Fingerprint/dataset','/home/shashank/Desktop/Fingerprint/dataset/CrossMatch/Training/Livetest.txt',GENUINE], # ['/home/shashank/Desktop/Fingerprint/dataset','/home/shashank/Desktop/Fingerprint/dataset/CrossMatch/Training/Faketest.txt',ATTACK] # ] # test_filelists=[ # ['/home/shashank/Desktop/Fingerprint/dataset','/home/shashank/Desktop/Fingerprint/dataset/CrossMatch/Testing/Livetest.txt',GENUINE], # ['/home/shashank/Desktop/Fingerprint/dataset','/home/shashank/Desktop/Fingerprint/dataset/CrossMatch/Testing/Faketest.txt',ATTACK] # ] #resized #/home/shashank/Desktop/Fingerprint/dataset # train_filelists=[ # ['/home/shashank/Desktop/Fingerprint/dataset','/home/shashank/Desktop/Fingerprint/dataset/1test.txt',GENUINE], # ['/home/shashank/Desktop/Fingerprint/dataset','/home/shashank/Desktop/Fingerprint/dataset/1test.txt',ATTACK] # ] # test_filelists=[ # ['/home/shashank/Desktop/Fingerprint/dataset','/home/shashank/Desktop/Fingerprint/dataset/1test.txt',GENUINE], # ['/home/shashank/Desktop/Fingerprint/dataset','/home/shashank/Desktop/Fingerprint/dataset/1test.txt',ATTACK] # ] #ultimate train_filelists=[ ['/home/shashank/Desktop/Fingerprint/dataset','/home/shashank/Desktop/Fingerprint/dataset/ultimate/Train/Livetest.txt',GENUINE], ['/home/shashank/Desktop/Fingerprint/dataset','/home/shashank/Desktop/Fingerprint/dataset/ultimate/Train/Spooftest.txt',ATTACK] ] test_filelists=[ ['/home/shashank/Desktop/Fingerprint/dataset','/home/shashank/Desktop/Fingerprint/dataset/ultimate/Test/Livetest.txt',GENUINE], ['/home/shashank/Desktop/Fingerprint/dataset','/home/shashank/Desktop/Fingerprint/dataset/ultimate/Test/Spooftest.txt',ATTACK] ] #load_model_path = 'checkpoints/model.pth' # 加载预训练的模型的路径，为None代表不加载 load_model_path = None # 加载预训练的模型的路径，为None代表不加载 batch_size = 8# batch size use_gpu = torch.cuda.is_available() # use GPU or not #use_gpu = True # use GPU or not num_workers = 8 # how many workers for loading data print_freq = 20 # print info every N batch debug_file = '/tmp/debug' # if os.path.exists(debug_file): enter ipdb result_name = 'result' max_epoch = 5 lr = 0.01 # initial learning rate lr_decay = 0.5 # when val_loss increase, lr = lr*lr_decay lr_stepsize=3#learning step size weight_decay = 1e-5 # 损失函数 cropscale = 3.5 image_size = 224 def parse(self, kwargs): ''' 根据字典kwargs 更新 config参数 ''' # 更新配置参数 for k, v in kwargs.items(): if not hasattr(self, k): # 警告还是报错，取决于你个人的喜好 warnings.warn("Warning: opt has not attribut %s" %k) setattr(self, k, v) # 打印配置信息 print('user config:') for k, v in self.__class__.__dict__.items(): if not k.startswith('__'): print(k, getattr(self, k)) DefaultConfig.parse = parse opt = DefaultConfig()

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null

0

1

0

8

3eaf57c059f9269320a251f0d6ae1777cee35e3f

24,808

py

Python

CompNeuroPy/neuron_models.py

Olimaol/CompNeuroPy

6112dd34bcae9191e496bda85fabdf5ea7be4818

[ "MIT" ]

null

CompNeuroPy/neuron_models.py

Olimaol/CompNeuroPy

6112dd34bcae9191e496bda85fabdf5ea7be4818

[ "MIT" ]

null

CompNeuroPy/neuron_models.py

Olimaol/CompNeuroPy

6112dd34bcae9191e496bda85fabdf5ea7be4818

[ "MIT" ]

null

from ANNarchy import Neuron Izhikevich2007 = Neuron( parameters=""" C = 0 : population # pF k = 0 : population # pS * mV**-1 v_r = 0 : population # mV v_t = 0 : population # mV a = 0 : population # ms**-1 b = 0 : population # nS c = 0 : population # mV d = 0 : population # pA v_peak = 0 : population # mV I_app = 0 # pA """, equations=""" C * dv/dt = k*(v - v_r)*(v - v_t) - u + I_app du/dt = a*(b*(v - v_r) - u) """, spike = "v >= v_peak", reset = """ v = c u = u + d """, name = "Izhikevich2007", description = "Simple neuron model equations from Izhikevich (2007)." ) Izhikevich2007_voltage_clamp = Neuron( parameters=""" C = 0 : population # pF k = 0 : population # pS * mV**-1 v_r = 0 : population # mV v_t = 0 : population # mV a = 0 : population # ms**-1 b = 0 : population # nS c = 0 : population # mV d = 0 : population # pA v_peak = 0 : population # mV I_app = 0 # pA """, equations=""" C * dv/dt = 0 du/dt = a*(b*(v - v_r) - u) I_inf = k*(v - v_r)*(v - v_t) - u + I_app """, spike = "v >= v_peak", reset = """ v = c u = u + d """, name = "Izhikevich2007_vc", description = "Simple neuron model equations from Izhikevich (2007). With voltage clamp to record I_inf." ) Izhikevich2007_syn = Neuron( parameters=""" C = 0 : population # pF k = 0 : population # pS * mV**-1 v_r = 0 : population # mV v_t = 0 : population # mV a = 0 : population # ms**-1 b = 0 : population # nS c = 0 : population # mV d = 0 : population # pA v_peak = 0 : population # mV I_app = 0 # pA tau_ampa = 10 : population # ms tau_gaba = 10 : population # ms E_ampa = 0 : population # mV E_gaba = -90 : population # mV """, equations=""" dg_ampa/dt = -g_ampa/tau_ampa dg_gaba/dt = -g_gaba/tau_gaba C * dv/dt = k*(v - v_r)*(v - v_t) - u + I_app - g_ampa*(v - E_ampa) - g_gaba*(v - E_gaba) du/dt = a*(b*(v - v_r) - u) """, spike = "v >= v_peak", reset = """ v = c u = u + d """, name = "Izhikevich2007_syn", description = "Simple neuron model equations from Izhikevich (2007) with conductance-based AMPA and GABA synapses/currents." ) Izhikevich2007_Corbit = Neuron( parameters=""" C = 0 : population # pF k = 0 : population # p1 = 0 : population # p2 = 0 : population # p3 = 0 : population # v_r = 0 : population # mV v_t = 0 : population # mV a = 0 : population # ms**-1 b = 0 : population # nS c = 0 : population # mV d = 0 : population # pA v_peak = 0 : population # mV I_app = 0 # pA """, equations=""" I_inst = k*(v - v_r)*(v - v_t)*(1+p2*pos(v - v_r)) + p1*(v_d - v) C * dv/dt = k*(v - v_r)*(v - v_t)*(1+p2*pos(v - v_r)) - u + p1*(v_d - v) + I_app du/dt = a*(b*pos(v - v_r)**4 - u) dv_d/dt = p3*(v - v_d) """, spike = "v >= v_peak", reset = """ v = c u = u + d """, name = "Izhikevich2007_Corbit", description = "Simple neuron model equations from Izhikevich (2007) adjusted to fit Corbit et al. (2016) FSI neuron model." ) Izhikevich2007_Corbit2 = Neuron( parameters=""" C = 0 : population # pF k = 0 : population # p1 = 0 : population # p2 = 0 : population # v_r = 0 : population # mV v_t = 0 : population # mV a = 0 : population # ms**-1 b = 0 : population # nS c = 0 : population # mV d = 0 : population # pA v_peak = 0 : population # mV I_app = 0 # pA """, equations=""" C * dv/dt = k*(v - v_r)*(v - v_t) - u + p1*(v_d - v) + I_app du/dt = a*(b*(v - v_r) - u) dv_d/dt = p2*(v - v_d) """, spike = "v >= v_peak", reset = """ v = c u = u + d """, name = "Izhikevich2007_Corbit", description = "Simple neuron model equations from Izhikevich (2007) adjusted version should be able to produce late spiking." ) Izhikevich2007_Corbit3 = Neuron( parameters=""" C = 0 : population # pF k = 0 : population # p1 = 0 : population # p2 = 0 : population # p3 = 0 : population # v_r = 0 : population # mV v_t = 0 : population # mV a = 0 : population # ms**-1 b = 0 : population # nS c = 0 : population # mV d = 0 : population # pA v_peak = 0 : population # mV I_app = 0 # pA """, equations=""" C * dv/dt = k*(v - v_r)*(v - v_t) - u + s*p1*(v_d - v) + I_app du/dt = a*(b*(v - v_r) - u) dv_d/dt = p2*(v - v_d) ds/dt = p3*(-s) : init=0 """, spike = "v >= v_peak", reset = """ v = c u = u + d s = 1 """, name = "Izhikevich2007_Corbit", description = "Simple neuron model equations from Izhikevich (2007) adjusted version should be able to produce late spiking." ) H_and_H_Bischop = Neuron( parameters=""" C_m = 30 # pF gg_L = 2.5 # nS E_L = -68 # mV gg_Na = 700 # nS E_Na = 74 # mV gg_Kv1 = 2 # nS gg_Kv3 = 300 # nS gg_SK = 2 # nS E_K = -90 # mV K_SK = 0.5 # yM --> strange units for k F = 96485.332 # (As)/M --> strange units for I_Ca / (2 * F * A * d) A = 3000 # ym**2 d = 0.2 # ym gamma = 1 # ms**-1 Ca_rest = 0.07 # yM k_on_ca = 0.1 # yM**-1 * ms**-1 k_off_ca = 0.001 # ms**-1 k_on_mg = 0.0008 # yM**-1 * ms**-1 k_off_mg = 0.025 # ms**-1 Mg = 500 # yM PV_T = 63.5 # yM, from Lee et al. (2000), The Journal of physiology, Kinetics # in Bischop et al. (2012) varied from 50 - 1000 yM gg_Ca = 30 # nS E_Ca = 80 # mV I_app = 0 # pA vt = 30 # mV """, equations=""" prev_v = v I_L = gg_L * (v - E_L) alpha_h = 0.0035 * exp(-v / 24.186) beta_h = 0.017 * (-51.25 - v) / (exp((-51.25 - v) / 5.2) - 1) h_inf = alpha_h / (alpha_h + beta_h) tau_h = 1 / (alpha_h + beta_h) dh/dt = (h_inf - h) / tau_h alpha_m = 40 * (75.5 - v) / (exp((75.5 - v) / 13.5) - 1) beta_m = 1.2262 * exp(-v/42.248) m_inf = alpha_m / (alpha_m + beta_m) m = m_inf I_Na = gg_Na * m**3 * h * (v - E_Na) alpha_n1 = 0.014 * (-44 - v) / (exp((-44 - v) / 2.3) - 1) beta_n1 = 0.0043 * exp((44 + v) / 34) n1_inf = alpha_n1 / (alpha_n1 + beta_n1) tau_n1 = 1 / (alpha_n1 + beta_n1) dn1/dt = (n1_inf - n1) / tau_n1 I_Kv1 = gg_Kv1 * n1**4 * (v - E_K) alpha_n3 = (95 - v) / (exp((95 - v) / 11.8) - 1) beta_n3 = 0.025 * exp(-v / 22.222) n3_inf = alpha_n3 / (alpha_n3 + beta_n3) tau_n3 = 1 / (alpha_n3 + beta_n3) dn3/dt = (n3_inf - n3) / tau_n3 I_Kv3 = gg_Kv3 * n3**2 * (v - E_K) PV = PV_T - PV_Ca - PV_Mg dPV_Mg/dt = k_on_mg * Mg * PV - k_off_mg * PV_Mg dPV_Ca_dt = k_on_ca * Ca * PV - k_off_ca * PV_Ca dPV_Ca/dt = dPV_Ca_dt dCa/dt = I_Ca / (2 * F * A * d) - gamma * (Ca - Ca_rest) - dPV_Ca_dt k_inf = Ca / (K_SK + Ca) tau_k = 1 / (K_SK + Ca) dk/dt = (k_inf - k) / tau_k I_SK = gg_SK * k**2 * (v - E_K) a_inf = 1 / (1 + exp((-6-v) / 7.775)) a = a_inf I_Ca = gg_Ca * a**2 * (v - E_Ca) C_m * dv/dt = -I_L - I_Na - I_Kv1 - I_Kv3 - I_SK - I_Ca + I_app : init=-68 """, spike = "(v > vt) and (prev_v <= vt)", reset = "", name = "H_and_H_Bischop", description = "H & H model of Bischop et al. (2012)." ) H_and_H_Bischop_syn = Neuron( parameters=""" C_m = 30 # pF gg_L = 2.5 # nS E_L = -68 # mV gg_Na = 700 # nS E_Na = 74 # mV gg_Kv1 = 2 # nS gg_Kv3 = 300 # nS gg_SK = 2 # nS E_K = -90 # mV K_SK = 0.5 # yM --> strange units for k F = 96485.332 # (As)/M --> strange units for I_Ca / (2 * F * A * d) A = 3000 # ym**2 d = 0.2 # ym gamma = 1 # ms**-1 Ca_rest = 0.07 # yM k_on_ca = 0.1 # yM**-1 * ms**-1 k_off_ca = 0.001 # ms**-1 k_on_mg = 0.0008 # yM**-1 * ms**-1 k_off_mg = 0.025 # ms**-1 Mg = 500 # yM PV_T = 63.5 # yM, from Lee et al. (2000), The Journal of physiology, Kinetics # in Bischop et al. (2012) varied from 50 - 1000 yM gg_Ca = 30 # nS E_Ca = 80 # mV I_app = 0 # pA vt = 30 # mV tau_ampa = 10 : population # ms tau_gaba = 10 : population # ms E_ampa = 0 : population # mV E_gaba = -90 : population # mV """, equations=""" dg_ampa/dt = -g_ampa/tau_ampa dg_gaba/dt = -g_gaba/tau_gaba prev_v = v I_L = gg_L * (v - E_L) alpha_h = 0.0035 * exp(-v / 24.186) beta_h = 0.017 * (-51.25 - v) / (exp((-51.25 - v) / 5.2) - 1) h_inf = alpha_h / (alpha_h + beta_h) tau_h = 1 / (alpha_h + beta_h) dh/dt = (h_inf - h) / tau_h alpha_m = 40 * (75.5 - v) / (exp((75.5 - v) / 13.5) - 1) beta_m = 1.2262 * exp(-v/42.248) m_inf = alpha_m / (alpha_m + beta_m) m = m_inf I_Na = gg_Na * m**3 * h * (v - E_Na) alpha_n1 = 0.014 * (-44 - v) / (exp((-44 - v) / 2.3) - 1) beta_n1 = 0.0043 * exp((44 + v) / 34) n1_inf = alpha_n1 / (alpha_n1 + beta_n1) tau_n1 = 1 / (alpha_n1 + beta_n1) dn1/dt = (n1_inf - n1) / tau_n1 I_Kv1 = gg_Kv1 * n1**4 * (v - E_K) alpha_n3 = (95 - v) / (exp((95 - v) / 11.8) - 1) beta_n3 = 0.025 * exp(-v / 22.222) n3_inf = alpha_n3 / (alpha_n3 + beta_n3) tau_n3 = 1 / (alpha_n3 + beta_n3) dn3/dt = (n3_inf - n3) / tau_n3 I_Kv3 = gg_Kv3 * n3**2 * (v - E_K) PV = PV_T - PV_Ca - PV_Mg dPV_Mg/dt = k_on_mg * Mg * PV - k_off_mg * PV_Mg dPV_Ca_dt = k_on_ca * Ca * PV - k_off_ca * PV_Ca dPV_Ca/dt = dPV_Ca_dt dCa/dt = I_Ca / (2 * F * A * d) - gamma * (Ca - Ca_rest) - dPV_Ca_dt k_inf = Ca / (K_SK + Ca) tau_k = 1 / (K_SK + Ca) dk/dt = (k_inf - k) / tau_k I_SK = gg_SK * k**2 * (v - E_K) a_inf = 1 / (1 + exp((-6-v) / 7.775)) a = a_inf I_Ca = gg_Ca * a**2 * (v - E_Ca) C_m * dv/dt = -I_L - I_Na - I_Kv1 - I_Kv3 - I_SK - I_Ca + I_app - g_ampa*(v - E_ampa) - g_gaba*(v - E_gaba) : init=-68 """, spike = "(v > vt) and (prev_v <= vt)", reset = "", name = "H_and_H_Bischop", description = "H & H model of Bischop et al. (2012)." ) H_and_H_Corbit = Neuron( parameters=""" v_t = 0 # :population #mV (see Corbit et al.,2016 under "Model analysis") C_m = 1.0 # :population #myF/cm^2 v_L = -70 # :population # mV gg_L = 0.25 # :population # mS/cm^2 E_Na = 50 # :population # mV gg_Na = 112.5 # :population # mS/cm^2 th_m_Na = -24.0 # :population # mV k_m_Na = 11.5 # :population # mV tau_0_m_Na = 0 # :population # ms default value (Corbit et al., 2016 description table 1) tau_1_m_Na = 0 # :population # ms default value (Corbit et al., 2016 description table 1) sigma_0_m_Na = 1 # :population # mV default value (Corbit et al., 2016 description table 1) th_h_Na = -58.3 # :population # mV k_h_Na = -6.7 # :population # mV phi_h_Na = -60 # :population # mV sigma_0_h_Na = -12.0# :population # mV tau_0_h_Na = 0.5 # :population # ms tau_1_h_Na = 13.5 # :population # ms E_Kv3 = -90 # :population # mV gg_Kv3 = 225.0 # :population # mS/cm^2 th_n_Kv3 = -12.4 # :population # mV k_n_Kv3 = 6.8 # :population # mV tau_0_n_Kv3 = 0.087 # :population # ms tau_1_n_Kv3 = 11.313# :population # ms phi_a_n_Kv3 = -14.6 # :population # mV phi_b_n_Kv3 = 1.3 # :population # mV sigma_0_a_n_Kv3 = -8.6 # :population #mV sigma_0_b_n_Kv3 = 18.7 # :population #mV E_Kv1 = -90 # :population #mV gg_Kv1 = 0.39 # :population #mS/cm^2 in Corbit et al. (2016) they use 0.1, but they say they use delayed-tonic firing which is 0.39 in Golomb (2007), 0.39 fits also better to Figure in Corbit et al. (2016) th_m_Kv1 = -50 # :population #mV k_m_Kv1 = 20 # :population #mV tau_m_Kv1 = 2 # :population #ms th_h_Kv1 = -70 # :population #mV k_h_Kv1 = -6 # :population #mV tau_h_Kv1 = 150 # :population #ms I_app = 0 : population """, equations=""" prev_v = v I_L = gg_L * (v - v_L) #CHECK # Na current with h particle and instantaneous m: m_Na = 1.0 / (1.0 + exp((th_m_Na - v) / k_m_Na)) dh_Na/dt = (1.0 / (1.0 + exp((th_h_Na - v) / k_h_Na)) - h_Na) / (tau_0_h_Na + (tau_1_h_Na + tau_0_h_Na) / (1.0 + exp((phi_h_Na - v) / sigma_0_h_Na))) : init=0.8521993432343666 #CHECK, in paper: tau_1-tau_0 in numerator, in code: tau_1+tau_0 (= 14) in numerator, in paper: exp + exp in denominator, in code: exp + 1 in denominator, for MSNs they set the term to 0... maybe for FSIs they set it to 1 I_Na = (v - E_Na) * gg_Na * pow(m_Na,3) * h_Na #CHECK # Kv3 current with n particle (but in Corbit et al., 2016 paper version h): n_Kv3_inf = 1.0 / (1.0 + exp((th_n_Kv3 - v) / k_n_Kv3)) #CHECK tau_n_Kv3_inf = (tau_0_n_Kv3 + (tau_0_n_Kv3 + tau_1_n_Kv3) / (1.0 + exp((phi_a_n_Kv3 - v) / sigma_0_a_n_Kv3)))*(tau_0_n_Kv3 + (tau_0_n_Kv3 + tau_1_n_Kv3) / (1.0 + exp((phi_b_n_Kv3 - v) / sigma_0_b_n_Kv3))) # CHECK dn_Kv3/dt = (n_Kv3_inf - n_Kv3) / tau_n_Kv3_inf : init=0.00020832726857419512 I_Kv3 = (v - E_Kv3) * gg_Kv3 * pow(n_Kv3,2) #CHECK # Kv1 current with m, h particle : dm_Kv1/dt = (1.0 / (1.0 + exp((th_m_Kv1 - v) / k_m_Kv1)) - m_Kv1) / tau_m_Kv1 : init=0.2685669882630486 dh_Kv1/dt = (1.0 / (1.0 + exp((th_h_Kv1 - v) / k_h_Kv1)) - h_Kv1) / tau_h_Kv1 : init=0.5015877164262258 I_Kv1 = (v - E_Kv1) * gg_Kv1 * pow(m_Kv1, 3) * h_Kv1 #CHECK C_m * dv/dt = -I_L - I_Na - I_Kv3 - I_Kv1 + I_app : init=-70.03810532250634 """, spike = "(v > v_t) and (prev_v <= v_t)", reset = "", name = "H_and_H_Corbit", description = "H & H model of Corbit et al. (2016)." ) H_and_H_Corbit_voltage_clamp = Neuron( parameters=""" v_t = 0 # :population #mV (see Corbit et al.,2016 under "Model analysis") C_m = 1.0 # :population #myF/cm^2 v_L = -70 # :population # mV gg_L = 0.25 # :population # mS/cm^2 E_Na = 50 # :population # mV gg_Na = 112.5 # :population # mS/cm^2 th_m_Na = -24.0 # :population # mV k_m_Na = 11.5 # :population # mV tau_0_m_Na = 0 # :population # ms default value (Corbit et al., 2016 description table 1) tau_1_m_Na = 0 # :population # ms default value (Corbit et al., 2016 description table 1) sigma_0_m_Na = 1 # :population # mV default value (Corbit et al., 2016 description table 1) th_h_Na = -58.3 # :population # mV k_h_Na = -6.7 # :population # mV phi_h_Na = -60 # :population # mV sigma_0_h_Na = -12.0# :population # mV tau_0_h_Na = 0.5 # :population # ms tau_1_h_Na = 13.5 # :population # ms E_Kv3 = -90 # :population # mV gg_Kv3 = 225.0 # :population # mS/cm^2 th_n_Kv3 = -12.4 # :population # mV k_n_Kv3 = 6.8 # :population # mV tau_0_n_Kv3 = 0.087 # :population # ms tau_1_n_Kv3 = 11.313# :population # ms phi_a_n_Kv3 = -14.6 # :population # mV phi_b_n_Kv3 = 1.3 # :population # mV sigma_0_a_n_Kv3 = -8.6 # :population #mV sigma_0_b_n_Kv3 = 18.7 # :population #mV E_Kv1 = -90 # :population #mV gg_Kv1 = 0.39 # :population #mS/cm^2 in Corbit et al. (2016) they use 0.1, but they say they use delayed-tonic firing which is 0.39 in Golomb (2007), 0.39 fits also better to Figure in Corbit et al. (2016) th_m_Kv1 = -50 # :population #mV k_m_Kv1 = 20 # :population #mV tau_m_Kv1 = 2 # :population #ms th_h_Kv1 = -70 # :population #mV k_h_Kv1 = -6 # :population #mV tau_h_Kv1 = 150 # :population #ms I_app = 0 : population """, equations=""" prev_v = v I_L = gg_L * (v - v_L) #CHECK # Na current with h particle and instantaneous m: m_Na = 1.0 / (1.0 + exp((th_m_Na - v) / k_m_Na)) dh_Na/dt = (1.0 / (1.0 + exp((th_h_Na - v) / k_h_Na)) - h_Na) / (tau_0_h_Na + (tau_1_h_Na + tau_0_h_Na) / (1.0 + exp((phi_h_Na - v) / sigma_0_h_Na))) : init=0.8521993432343666 #CHECK, in paper: tau_1-tau_0 in numerator, in code: tau_1+tau_0 (= 14) in numerator, in paper: exp + exp in denominator, in code: exp + 1 in denominator, for MSNs they set the term to 0... maybe for FSIs they set it to 1 I_Na = (v - E_Na) * gg_Na * pow(m_Na,3) * h_Na #CHECK # Kv3 current with n particle (but in Corbit et al., 2016 paper version h): n_Kv3_inf = 1.0 / (1.0 + exp((th_n_Kv3 - v) / k_n_Kv3)) #CHECK tau_n_Kv3_inf = (tau_0_n_Kv3 + (tau_0_n_Kv3 + tau_1_n_Kv3) / (1.0 + exp((phi_a_n_Kv3 - v) / sigma_0_a_n_Kv3)))*(tau_0_n_Kv3 + (tau_0_n_Kv3 + tau_1_n_Kv3) / (1.0 + exp((phi_b_n_Kv3 - v) / sigma_0_b_n_Kv3))) # CHECK dn_Kv3/dt = (n_Kv3_inf - n_Kv3) / tau_n_Kv3_inf : init=0.00020832726857419512 I_Kv3 = (v - E_Kv3) * gg_Kv3 * pow(n_Kv3,2) #CHECK # Kv1 current with m, h particle : dm_Kv1/dt = (1.0 / (1.0 + exp((th_m_Kv1 - v) / k_m_Kv1)) - m_Kv1) / tau_m_Kv1 : init=0.2685669882630486 dh_Kv1/dt = (1.0 / (1.0 + exp((th_h_Kv1 - v) / k_h_Kv1)) - h_Kv1) / tau_h_Kv1 : init=0.5015877164262258 I_Kv1 = (v - E_Kv1) * gg_Kv1 * pow(m_Kv1, 3) * h_Kv1 #CHECK C_m * dv/dt = 0 : init=-70.03810532250634 I_inf = -I_L - I_Na - I_Kv3 - I_Kv1 + I_app """, spike = "(v > v_t) and (prev_v <= v_t)", reset = "", name = "H_and_H_Corbit", description = "H & H model of Corbit et al. (2016)." ) H_and_H_Corbit_syn = Neuron( parameters=""" v_t = 0 # :population #mV (see Corbit et al.,2016 under "Model analysis") C_m = 1.0 # :population #myF/cm^2 v_L = -70 # :population # mV gg_L = 0.25 # :population # mS/cm^2 E_Na = 50 # :population # mV gg_Na = 112.5 # :population # mS/cm^2 th_m_Na = -24.0 # :population # mV k_m_Na = 11.5 # :population # mV tau_0_m_Na = 0 # :population # ms default value (Corbit et al., 2016 description table 1) tau_1_m_Na = 0 # :population # ms default value (Corbit et al., 2016 description table 1) sigma_0_m_Na = 1 # :population # mV default value (Corbit et al., 2016 description table 1) th_h_Na = -58.3 # :population # mV k_h_Na = -6.7 # :population # mV phi_h_Na = -60 # :population # mV sigma_0_h_Na = -12.0# :population # mV tau_0_h_Na = 0.5 # :population # ms tau_1_h_Na = 13.5 # :population # ms E_Kv3 = -90 # :population # mV gg_Kv3 = 225.0 # :population # mS/cm^2 th_n_Kv3 = -12.4 # :population # mV k_n_Kv3 = 6.8 # :population # mV tau_0_n_Kv3 = 0.087 # :population # ms tau_1_n_Kv3 = 11.313# :population # ms phi_a_n_Kv3 = -14.6 # :population # mV phi_b_n_Kv3 = 1.3 # :population # mV sigma_0_a_n_Kv3 = -8.6 # :population #mV sigma_0_b_n_Kv3 = 18.7 # :population #mV E_Kv1 = -90 # :population #mV gg_Kv1 = 0.39 # :population #mS/cm^2 in Corbit et al. (2016) they use 0.1, but they say they use delayed-tonic firing which is 0.39 in Golomb (2007), 0.39 fits also better to Figure in Corbit et al. (2016) th_m_Kv1 = -50 # :population #mV k_m_Kv1 = 20 # :population #mV tau_m_Kv1 = 2 # :population #ms th_h_Kv1 = -70 # :population #mV k_h_Kv1 = -6 # :population #mV tau_h_Kv1 = 150 # :population #ms I_app = 0 : population tau_ampa = 10 : population # ms tau_gaba = 10 : population # ms E_ampa = 0 : population # mV E_gaba = -90 : population # mV """, equations=""" dg_ampa/dt = -g_ampa/tau_ampa dg_gaba/dt = -g_gaba/tau_gaba prev_v = v I_L = gg_L * (v - v_L) #CHECK # Na current with h particle and instantaneous m: m_Na = 1.0 / (1.0 + exp((th_m_Na - v) / k_m_Na)) dh_Na/dt = (1.0 / (1.0 + exp((th_h_Na - v) / k_h_Na)) - h_Na) / (tau_0_h_Na + (tau_1_h_Na + tau_0_h_Na) / (1.0 + exp((phi_h_Na - v) / sigma_0_h_Na))) : init=0.8521993432343666 #CHECK, in paper: tau_1-tau_0 in numerator, in code: tau_1+tau_0 (= 14) in numerator, in paper: exp + exp in denominator, in code: exp + 1 in denominator, for MSNs they set the term to 0... maybe for FSIs they set it to 1 I_Na = (v - E_Na) * gg_Na * pow(m_Na,3) * h_Na #CHECK # Kv3 current with n particle (but in Corbit et al., 2016 paper version h): n_Kv3_inf = 1.0 / (1.0 + exp((th_n_Kv3 - v) / k_n_Kv3)) #CHECK tau_n_Kv3_inf = (tau_0_n_Kv3 + (tau_0_n_Kv3 + tau_1_n_Kv3) / (1.0 + exp((phi_a_n_Kv3 - v) / sigma_0_a_n_Kv3)))*(tau_0_n_Kv3 + (tau_0_n_Kv3 + tau_1_n_Kv3) / (1.0 + exp((phi_b_n_Kv3 - v) / sigma_0_b_n_Kv3))) # CHECK dn_Kv3/dt = (n_Kv3_inf - n_Kv3) / tau_n_Kv3_inf : init=0.00020832726857419512 I_Kv3 = (v - E_Kv3) * gg_Kv3 * pow(n_Kv3,2) #CHECK # Kv1 current with m, h particle : dm_Kv1/dt = (1.0 / (1.0 + exp((th_m_Kv1 - v) / k_m_Kv1)) - m_Kv1) / tau_m_Kv1 : init=0.2685669882630486 dh_Kv1/dt = (1.0 / (1.0 + exp((th_h_Kv1 - v) / k_h_Kv1)) - h_Kv1) / tau_h_Kv1 : init=0.5015877164262258 I_Kv1 = (v - E_Kv1) * gg_Kv1 * pow(m_Kv1, 3) * h_Kv1 #CHECK C_m * dv/dt = -I_L - I_Na - I_Kv3 - I_Kv1 + I_app - g_ampa*(v - E_ampa) - g_gaba*(v - E_gaba) : init=-70.03810532250634 """, spike = "(v > v_t) and (prev_v <= v_t)", reset = "", name = "H_and_H_Corbit", description = "H & H model of Corbit et al. (2016)." )

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8

3ed387c2a599f41a28421a3e6263ee6ba9a37591

8,289

py

Python

couch/tests/test_server.py

madron/django-couch

21e4c3a0022bdb7cfaff017f72025afbf5220b3b

[ "MIT" ]

null

couch/tests/test_server.py

madron/django-couch

21e4c3a0022bdb7cfaff017f72025afbf5220b3b

[ "MIT" ]

null

couch/tests/test_server.py

madron/django-couch

21e4c3a0022bdb7cfaff017f72025afbf5220b3b

[ "MIT" ]

null

from django.test import override_settings from django.test import SimpleTestCase from .. import exceptions from .. import Server from ..test import CouchTestCase class ServerTest(CouchTestCase): def test_database(self): server = Server() self.assertNotIn('mydb', server.list_databases()) # Create database server.create_database('mydb') # Check database list self.assertIn('mydb', server.list_databases()) def test_create_database(self): server = Server() db = server.create_database('acme') self.assertEqual(db.name, 'acme') self.assertEqual(db.server.alias, 'default') def test_get_database_not_found_check(self): server = Server() with self.assertRaises(exceptions.CouchError): server.get_database('acme', check=True) def test_get_database_not_found_no_check(self): server = Server() db = server.get_database('acme') self.assertEqual(db.name, 'acme') self.assertEqual(db.server.alias, 'default') def test_get_database_ok(self): server = Server() server.create_database('acme') db = server.get_database('acme', check=True) self.assertEqual(db.name, 'acme') self.assertEqual(db.server.alias, 'default') def test_get_or_create_database_existing(self): server = Server() server.create_database('acme') db, created = server.get_or_create_database('acme') self.assertEqual(db.name, 'acme') self.assertEqual(db.server.alias, 'default') self.assertFalse(created) def test_get_or_create_database_not_existing(self): server = Server() db, created = server.get_or_create_database('acme') self.assertEqual(db.name, 'acme') self.assertEqual(db.server.alias, 'default') self.assertTrue(created) @override_settings(COUCH_SERVERS=dict(default=dict(HOST='nowhere.example.com'))) def test_get_or_create_database_ko(self): server = Server() with self.assertRaises(exceptions.CouchError): server.get_or_create_database('acme') def test_list_databases(self): server = Server() self.assertNotIn('mydb', server.list_databases()) server.create_database('mydb') self.assertIn('mydb', server.list_databases()) # Databases created without prefix are not listed server.put('/a_l_r_e_a_d_y___p_r_e_s_e_n_t____d_b') self.assertNotIn('a_l_r_e_a_d_y___p_r_e_s_e_n_t____d_b', server.list_databases()) server.delete('/a_l_r_e_a_d_y___p_r_e_s_e_n_t____d_b') def test_delete_database(self): server = Server() self.assertNotIn('mydb', server.list_databases()) server.create_database('mydb') server.delete_database('mydb') self.assertNotIn('mydb', server.list_databases()) def test_delete_database_not_found(self): server = Server() self.assertNotIn('mydb', server.list_databases()) with self.assertRaises(exceptions.CouchError) as context: server.delete_database('mydb') self.assertEqual( context.exception.args[0], dict(reason='Database does not exist.', error='not_found', status_code=404) ) def test_delete_database_if_exists_1(self): server = Server() server.get_or_create_database('mydb') server.delete_database_if_exists('mydb') self.assertNotIn('mydb', server.list_databases()) def test_delete_database_if_exists_2(self): server = Server() self.assertNotIn('mydb', server.list_databases()) server.delete_database_if_exists('mydb') self.assertNotIn('mydb', server.list_databases()) @override_settings(COUCH_SERVERS=dict(default=dict(HOST='nowhere.example.com'))) def test_delete_database_if_exists_ko(self): server = Server() with self.assertRaises(exceptions.CouchError) as context: server.delete_database_if_exists('mydb') self.assertEqual(context.exception.args[0]['error'], 'requests.exceptions.ConnectionError') def test_single_node_setup(self): server = Server() server.single_node_setup() @override_settings(COUCH_SERVERS=dict(default=dict(HOST='nowhere.example.com'))) def test_single_node_setup_ko(self): server = Server() with self.assertRaises(exceptions.CouchError): server.single_node_setup() class DefaultServerTest(SimpleTestCase): @override_settings(COUCH_SERVERS=dict(default=dict())) def test_default(self): server = Server() self.assertEqual(server.alias, 'default') self.assertEqual(server.protocol, 'http') self.assertEqual(server.host, 'localhost') self.assertEqual(server.port, 5984) self.assertEqual(server.username, None) self.assertEqual(server.password, None) self.assertEqual(server.database_prefix, '') @override_settings(COUCH_SERVERS=dict(default=dict(PROTOCOL='https', HOST='192.168.1.1', PORT=9999, USERNAME='user', PASSWORD='pass', DATABASE_PREFIX='test_'))) def test_config(self): server = Server() self.assertEqual(server.alias, 'default') self.assertEqual(server.protocol, 'https') self.assertEqual(server.host, '192.168.1.1') self.assertEqual(server.port, 9999) self.assertEqual(server.username, 'user') self.assertEqual(server.password, 'pass') self.assertEqual(server.database_prefix, 'test_') @override_settings(COUCH_SERVERS=dict(default=dict(PROTOCOL='https', HOST='192.168.1.1', PORT=9999, USERNAME='user', PASSWORD='pass', DATABASE_PREFIX='test_'))) def test_override(self): server = Server(protocol='http', host='couch.example.com', port=8888, username='admin', password='admin', database_prefix='demo_') self.assertEqual(server.alias, 'default') self.assertEqual(server.protocol, 'http') self.assertEqual(server.host, 'couch.example.com') self.assertEqual(server.port, 8888) self.assertEqual(server.username, 'admin') self.assertEqual(server.password, 'admin') self.assertEqual(server.database_prefix, 'demo_') class OtherServerTest(SimpleTestCase): @override_settings(COUCH_SERVERS=dict(another=dict())) def test_no_default_server(self): with self.assertRaises(KeyError): Server() @override_settings(COUCH_SERVERS=dict(default=dict(), another=dict())) def test_default(self): server = Server(alias='another') self.assertEqual(server.alias, 'another') self.assertEqual(server.protocol, 'http') self.assertEqual(server.host, 'localhost') self.assertEqual(server.port, 5984) self.assertEqual(server.username, None) self.assertEqual(server.password, None) self.assertEqual(server.database_prefix, '') @override_settings(COUCH_SERVERS=dict(default=dict(), another=dict(PROTOCOL='https', HOST='192.168.1.1', PORT=9999, USERNAME='user', PASSWORD='pass', DATABASE_PREFIX='test_'))) def test_config(self): server = Server(alias='another') self.assertEqual(server.alias, 'another') self.assertEqual(server.protocol, 'https') self.assertEqual(server.host, '192.168.1.1') self.assertEqual(server.port, 9999) self.assertEqual(server.username, 'user') self.assertEqual(server.password, 'pass') self.assertEqual(server.database_prefix, 'test_') @override_settings(COUCH_SERVERS=dict(default=dict(), another=dict(PROTOCOL='https', HOST='192.168.1.1', PORT=9999, USERNAME='user', PASSWORD='pass', DATABASE_PREFIX='test_'))) def test_override(self): server = Server(alias='another', protocol='http', host='couch.example.com', port=8888, username='admin', password='admin', database_prefix='demo_') self.assertEqual(server.alias, 'another') self.assertEqual(server.protocol, 'http') self.assertEqual(server.host, 'couch.example.com') self.assertEqual(server.port, 8888) self.assertEqual(server.username, 'admin') self.assertEqual(server.password, 'admin') self.assertEqual(server.database_prefix, 'demo_')

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9

f5c1431f0c61c4097b4745e74e8928f4de7a9cf4

47

py

Python

docs/cours/algorithmie_code/cours_1_code/ressources/projet_test/le_code.py

FrancoisBrucker/cours_informatique

8e693adefa84770850291fe4562c66d36d77cefa

[ "MIT" ]

3

2021-09-15T12:34:56.000Z

2021-12-14T09:29:17.000Z

docs/cours/algorithmie_code/cours_1_code/ressources/projet_test/le_code.py

FrancoisBrucker/cours_informatique

8e693adefa84770850291fe4562c66d36d77cefa

[ "MIT" ]

1

2020-09-29T14:44:09.000Z

2020-09-29T15:39:01.000Z

docs/cours/algorithmie_code/cours_1_code/ressources/projet_test/le_code.py

FrancoisBrucker/cours_informatique

8e693adefa84770850291fe4562c66d36d77cefa

[ "MIT" ]

4

2020-10-01T09:12:32.000Z

2021-12-14T09:29:09.000Z

def bonjour(): return "Bonjour les gens !"

15.666667

31

0.638298

6

47

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0.833333

0

0.234043

47

2

32

23.5

0.833333

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true

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0.5

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null

0

1

0

null

0

1

0

1

0

7

de70cbec6c565c37ab5ff1f1a92cd76b4f087fed

179

py

Python

journal_bot/components/commands/__init__.py

rerobins/rho_journal_bot

7209171f9eccbbc058237457fb9c446e4eff9b30

[ "BSD-3-Clause" ]

null

journal_bot/components/commands/__init__.py

rerobins/rho_journal_bot

7209171f9eccbbc058237457fb9c446e4eff9b30

[ "BSD-3-Clause" ]

null

journal_bot/components/commands/__init__.py

rerobins/rho_journal_bot

7209171f9eccbbc058237457fb9c446e4eff9b30

[ "BSD-3-Clause" ]

null

from journal_bot.components.commands.create_event import create_event from sleekxmpp.plugins.base import register_plugin def load_commands(): register_plugin(create_event)

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1

0

1

0

1

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7

de974acde69471cacde3e1948abadb6b036e9d32

8,097

py

Python

tests/test_estimate_normals.py

cassfalg/pptk

e08b0184f2e5c5e288f1ff030cf09d11c8864ef1

[ "MIT" ]

1

2020-11-17T08:08:15.000Z

tests/test_estimate_normals.py

cassfalg/pptk

e08b0184f2e5c5e288f1ff030cf09d11c8864ef1

[ "MIT" ]

null

tests/test_estimate_normals.py

cassfalg/pptk

e08b0184f2e5c5e288f1ff030cf09d11c8864ef1

[ "MIT" ]

null

import unittest import pptk import numpy as np class TestEstimateNormals(unittest.TestCase): def test_rand100(self): np.random.seed(0) x = pptk.rand(100, 3) pptk.estimate_normals(x, 5, 0.2, verbose=False) pptk.estimate_normals(x, 5, 0.2, output_eigenvalues=True, verbose=False) pptk.estimate_normals(x, 5, 0.2, output_all_eigenvectors=True, verbose=False) pptk.estimate_normals(x, 5, 0.2, output_eigenvalues=True, output_all_eigenvectors=True, verbose=False) x = np.float32(x) pptk.estimate_normals(x, 5, 0.2, verbose=False) pptk.estimate_normals(x, 5, 0.2, output_eigenvalues=True, verbose=False) pptk.estimate_normals(x, 5, 0.2, output_all_eigenvectors=True, verbose=False) pptk.estimate_normals(x, 5, 0.2, output_eigenvalues=True, output_all_eigenvectors=True, verbose=False) def test_output_types(self): # test all 8 combinations of output_* switches y = np.zeros((10, 3), dtype=np.float64) y[:, 0] = np.arange(10) k = 4 r = 3 evals = np.array([2. / 3] + [5. / 4] * 8 + [2. / 3]) evecs = np.array([[1., 0., 0.]] * 10) nbhd_sizes = np.array([3] + [4] * 8 + [3]) # combo 1: (0, 0, 0) z = pptk.estimate_normals(y, k, r, output_eigenvalues=False, output_all_eigenvectors=False, output_neighborhood_sizes=False, verbose=False) self.assertTrue(isinstance(z, np.ndarray) and z.shape == (10, 3)) # combo 2: (0, 0, 1) z = pptk.estimate_normals(y, k, r, output_eigenvalues=False, output_all_eigenvectors=False, output_neighborhood_sizes=True, verbose=False) self.assertTrue( isinstance(z, tuple) and len(z) == 3 and [type(i) for i in z] == [np.ndarray, type(None), np.ndarray] and z[0].shape == (10, 3) and z[2].shape == (10, )) self.assertTrue(np.all(z[2] == nbhd_sizes)) # combo 3: (0, 1, 0) z = pptk.estimate_normals(y, k, r, output_eigenvalues=False, output_all_eigenvectors=True, output_neighborhood_sizes=False, verbose=False) self.assertTrue(isinstance(z, np.ndarray) and z.shape == (10, 3, 3)) # combo 4: (0, 1, 1) z = pptk.estimate_normals(y, k, r, output_eigenvalues=False, output_all_eigenvectors=True, output_neighborhood_sizes=True, verbose=False) self.assertTrue( isinstance(z, tuple) and len(z) == 3 and [type(i) for i in z] == [np.ndarray, type(None), np.ndarray] and z[0].shape == (10, 3, 3) and z[2].shape == (10, )) self.assertTrue(np.allclose(z[0][:, -1, :], evecs)) self.assertTrue(np.all(z[2] == nbhd_sizes)) # combo 5: (1, 0, 0) z = pptk.estimate_normals(y, k, r, output_eigenvalues=True, output_all_eigenvectors=False, output_neighborhood_sizes=False, verbose=False) self.assertTrue( isinstance(z, tuple) and len(z) == 3 and [type(i) for i in z] == [np.ndarray, np.ndarray, type(None)] and z[0].shape == (10, 3) and z[1].shape == (10, )) # combo 6: (1, 0, 1) z = pptk.estimate_normals(y, k, r, output_eigenvalues=True, output_all_eigenvectors=False, output_neighborhood_sizes=True, verbose=False) self.assertTrue( isinstance(z, tuple) and len(z) == 3 and [type(i) for i in z] == [np.ndarray, np.ndarray, np.ndarray] and [i.shape for i in z] == [(10, 3), (10, ), (10, )]) self.assertTrue(np.all(z[2] == nbhd_sizes)) # combo 7: (1, 1, 0) z = pptk.estimate_normals(y, k, r, output_eigenvalues=True, output_all_eigenvectors=True, output_neighborhood_sizes=False, verbose=False) self.assertTrue( isinstance(z, tuple) and len(z) == 3 and [type(i) for i in z] == [np.ndarray, np.ndarray, type(None)] and z[0].shape == (10, 3, 3) and z[1].shape == (10, 3)) self.assertTrue(np.allclose(z[0][:, -1, :], evecs)) self.assertTrue(np.allclose(z[1][:, -1], evals)) # combo 8: (1, 1, 1) z = pptk.estimate_normals(y, k, r, output_eigenvalues=True, output_all_eigenvectors=True, output_neighborhood_sizes=True, verbose=False) self.assertTrue( isinstance(z, tuple) and len(z) == 3 and [type(i) for i in z] == [np.ndarray, np.ndarray, np.ndarray] and [i.shape for i in z] == [(10, 3, 3), (10, 3), (10, )]) self.assertTrue(np.allclose(z[0][:, -1, :], evecs)) self.assertTrue(np.allclose(z[1][:, -1], evals)) self.assertTrue(np.all(z[2] == nbhd_sizes)) def test_neighborhood_types(self): pass def test_subsample(self): y = np.zeros((10, 3), dtype=np.float64) y[:, 0] = np.arange(10) k = 4 r = 3 evals = np.array([2. / 3] + [5. / 4] * 8 + [2. / 3]) evecs = np.array([[1., 0., 0.]] * 10) nbhd_sizes = np.array([3] + [4] * 8 + [3]) s = [0, 3, 4, -1] mask = np.zeros(10, dtype=np.bool) mask[s] = True z = pptk.estimate_normals(y, k, r, subsample=mask, output_eigenvalues=True, output_all_eigenvectors=True, output_neighborhood_sizes=True, verbose=False) self.assertTrue(np.allclose(z[0][:, -1, :], evecs[s])) self.assertTrue(np.allclose(z[1][:, -1], evals[s])) self.assertTrue(np.all(z[2] == nbhd_sizes[s])) mask = np.zeros(2, dtype=np.bool) with self.assertRaises(ValueError): pptk.estimate_normals(y, k, r, subsample=mask, output_eigenvalues=True, output_all_eigenvectors=True, output_neighborhood_sizes=True, verbose=False) z = pptk.estimate_normals(y, k, r, subsample=s, output_eigenvalues=True, output_all_eigenvectors=True, output_neighborhood_sizes=True, verbose=False) self.assertTrue(np.allclose(z[0][:, -1, :], evecs[s])) self.assertTrue(np.allclose(z[1][:, -1], evals[s])) self.assertTrue(np.all(z[2] == nbhd_sizes[s])) if __name__ == '__main__': unittest.main()

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1

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1

0

null

0

7

720478f244e0cc97cdd040ec175a7ce4dfedce40

83,451

py

Python

envjoy/tests/test_env.py

grimen/python-envjoy

e4abcc7251a400850c67419a96d29fe97f000fef

[ "MIT" ]

null

envjoy/tests/test_env.py

grimen/python-envjoy

e4abcc7251a400850c67419a96d29fe97f000fef

[ "MIT" ]

null

envjoy/tests/test_env.py

grimen/python-envjoy

e4abcc7251a400850c67419a96d29fe97f000fef

[ "MIT" ]

null

# ========================================= # IMPORTS # -------------------------------------- from __future__ import print_function # Python 2 import rootpath rootpath.append() from envjoy.tests import helper import envjoy import inspecta import json from os import environ from collections import Iterable, Iterator, OrderedDict from six import PY2, PY3, string_types environ['COLORS'] = 'true' # lower prio environ['VERBOSE'] = 'true' # lower prio environ['ENV_COLORS'] = 'false' # higher prio environ['ENV_VERBOSE'] = 'false' # higher prio # ========================================= # HELPERS # -------------------------------------- def env_get(key, default = None): return environ.get(key, default) def env_set(key, value): environ[key] = str(value) def env_del(key): try: del environ[key] except: pass def env_clear(): for key in environ.keys(): env_del(key) # ========================================= # TEST # -------------------------------------- class TestCase(helper.TestCase): def test__import(self): self.assertModule(envjoy) def test_get(self): self.assertTrue(hasattr(envjoy.env, 'get')) self.assertTrue(callable(envjoy.env.get)) environ.clear() self.assertDeepEqual(envjoy.env.get('FOO'), None) self.assertDeepEqual(envjoy.env.get('BAR'), None) environ['FOO'] = '0' self.assertDeepEqual(envjoy.env.get('FOO'), 0) self.assertDeepEqual(envjoy.env.get('FOO', bool), False) self.assertDeepEqual(envjoy.env.get('FOO', int), 0) self.assertDeepEqual(envjoy.env.get('FOO', float), 0.0) self.assertDeepEqual(envjoy.env.get('FOO', str), '0') self.assertDeepEqual(envjoy.env.get('FOO', tuple), (0,)) self.assertDeepEqual(envjoy.env.get('FOO', list), [0]) self.assertDeepEqual(envjoy.env.get('FOO', dict), {}) environ['FOO'] = '1' self.assertDeepEqual(envjoy.env.get('FOO'), 1) self.assertDeepEqual(envjoy.env.get('FOO', bool), True) self.assertDeepEqual(envjoy.env.get('FOO', int), 1) self.assertDeepEqual(envjoy.env.get('FOO', float), 1.0) self.assertDeepEqual(envjoy.env.get('FOO', str), '1') self.assertDeepEqual(envjoy.env.get('FOO', tuple), (1,)) self.assertDeepEqual(envjoy.env.get('FOO', list), [1]) self.assertDeepEqual(envjoy.env.get('FOO', dict), {}) environ['FOO'] = '-1' self.assertDeepEqual(envjoy.env.get('FOO'), -1) self.assertDeepEqual(envjoy.env.get('FOO', bool), True) self.assertDeepEqual(envjoy.env.get('FOO', int), -1) self.assertDeepEqual(envjoy.env.get('FOO', float), -1.0) self.assertDeepEqual(envjoy.env.get('FOO', str), '-1') self.assertDeepEqual(envjoy.env.get('FOO', tuple), (-1,)) self.assertDeepEqual(envjoy.env.get('FOO', list), [-1]) self.assertDeepEqual(envjoy.env.get('FOO', dict), {}) environ['FOO'] = '12.34' self.assertDeepEqual(envjoy.env.get('FOO'), 12.34) self.assertDeepEqual(envjoy.env.get('FOO', bool), True) self.assertDeepEqual(envjoy.env.get('FOO', int), 12) self.assertDeepEqual(envjoy.env.get('FOO', float), 12.34) self.assertDeepEqual(envjoy.env.get('FOO', str), '12.34') self.assertDeepEqual(envjoy.env.get('FOO', tuple), (12.34,)) self.assertDeepEqual(envjoy.env.get('FOO', list), [12.34]) self.assertDeepEqual(envjoy.env.get('FOO', dict), {}) environ['FOO'] = '-12.34' self.assertDeepEqual(envjoy.env.get('FOO'), -12.34) self.assertDeepEqual(envjoy.env.get('FOO', bool), True) self.assertDeepEqual(envjoy.env.get('FOO', int), -12) self.assertDeepEqual(envjoy.env.get('FOO', float), -12.34) self.assertDeepEqual(envjoy.env.get('FOO', str), '-12.34') self.assertDeepEqual(envjoy.env.get('FOO', tuple), (-12.34,)) self.assertDeepEqual(envjoy.env.get('FOO', list), [-12.34]) self.assertDeepEqual(envjoy.env.get('FOO', dict), {}) environ['FOO'] = 'foo bar baz 1 2 3' self.assertDeepEqual(envjoy.env.get('FOO'), 'foo bar baz 1 2 3') self.assertDeepEqual(envjoy.env.get('FOO', bool), True) self.assertDeepEqual(envjoy.env.get('FOO', int), 123) self.assertDeepEqual(envjoy.env.get('FOO', float), 123.0) self.assertDeepEqual(envjoy.env.get('FOO', str), 'foo bar baz 1 2 3') self.assertDeepEqual(envjoy.env.get('FOO', tuple), ('foo bar baz 1 2 3',)) self.assertDeepEqual(envjoy.env.get('FOO', list), ['foo bar baz 1 2 3']) self.assertDeepEqual(envjoy.env.get('FOO', dict), {}) environ['FOO'] = 'foo,bar,baz,1,2,3' self.assertDeepEqual(envjoy.env.get('FOO'), 'foo,bar,baz,1,2,3') self.assertDeepEqual(envjoy.env.get('FOO', bool), True) self.assertDeepEqual(envjoy.env.get('FOO', int), 123) self.assertDeepEqual(envjoy.env.get('FOO', float), 123.0) self.assertDeepEqual(envjoy.env.get('FOO', str), 'foo,bar,baz,1,2,3') self.assertDeepEqual(envjoy.env.get('FOO', tuple), ('foo,bar,baz,1,2,3',)) self.assertDeepEqual(envjoy.env.get('FOO', list), ['foo,bar,baz,1,2,3']) self.assertDeepEqual(envjoy.env.get('FOO', dict), {}) environ['FOO'] = 'foo, bar, baz, 1, 2, 3' self.assertDeepEqual(envjoy.env.get('FOO'), 'foo, bar, baz, 1, 2, 3') self.assertDeepEqual(envjoy.env.get('FOO', bool), True) self.assertDeepEqual(envjoy.env.get('FOO', int), 123) self.assertDeepEqual(envjoy.env.get('FOO', float), 123.0) self.assertDeepEqual(envjoy.env.get('FOO', str), 'foo, bar, baz, 1, 2, 3') self.assertDeepEqual(envjoy.env.get('FOO', tuple), ('foo, bar, baz, 1, 2, 3',)) self.assertDeepEqual(envjoy.env.get('FOO', list), ['foo, bar, baz, 1, 2, 3']) self.assertDeepEqual(envjoy.env.get('FOO', dict), {}) # environ['FOO'] = '(foo,bar,baz,1,2,3)' # self.assertDeepEqual(envjoy.env.get('FOO'), ('foo', 'bar', 'baz', 1, 2, 3)) # self.assertDeepEqual(envjoy.env.get('FOO', bool), True) # self.assertDeepEqual(envjoy.env.get('FOO', int), 123) # self.assertDeepEqual(envjoy.env.get('FOO', float), 123.0) # self.assertDeepEqual(envjoy.env.get('FOO', str), '(foo,bar,baz,1,2,3)') # self.assertDeepEqual(envjoy.env.get('FOO', tuple), ('foo', 'bar', 'baz', 1, 2, 3)) # self.assertDeepEqual(envjoy.env.get('FOO', list), ['foo', 'bar', 'baz', 1, 2, 3]) # self.assertDeepEqual(envjoy.env.get('FOO', dict), {}) environ['FOO'] = '("foo","bar","baz",1,2,3)' self.assertDeepEqual(envjoy.env.get('FOO'), ('foo', 'bar', 'baz', 1, 2, 3)) self.assertDeepEqual(envjoy.env.get('FOO', bool), True) self.assertDeepEqual(envjoy.env.get('FOO', int), 123) self.assertDeepEqual(envjoy.env.get('FOO', float), 123.0) self.assertDeepEqual(envjoy.env.get('FOO', str), '("foo","bar","baz",1,2,3)') self.assertDeepEqual(envjoy.env.get('FOO', tuple), ('foo', 'bar', 'baz', 1, 2, 3)) self.assertDeepEqual(envjoy.env.get('FOO', list), ['foo', 'bar', 'baz', 1, 2, 3]) self.assertDeepEqual(envjoy.env.get('FOO', dict), {}) # environ['FOO'] = '((foo,bar),baz,(1,2,3))' # self.assertDeepEqual(envjoy.env.get('FOO'), (('foo', 'bar'), 'baz', (1, 2, 3))) # self.assertDeepEqual(envjoy.env.get('FOO', bool), True) # self.assertDeepEqual(envjoy.env.get('FOO', int), 123) # self.assertDeepEqual(envjoy.env.get('FOO', float), 123.0) # self.assertDeepEqual(envjoy.env.get('FOO', str), '((foo,bar),baz,(1,2,3))') # self.assertDeepEqual(envjoy.env.get('FOO', tuple), (('foo', 'bar'), 'baz', (1, 2, 3))) # self.assertDeepEqual(envjoy.env.get('FOO', list), [['foo', 'bar'], 'baz', [1, 2, 3]]) # self.assertDeepEqual(envjoy.env.get('FOO', dict), {}) environ['FOO'] = '(("foo","bar"),"baz",(1,2,3))' self.assertDeepEqual(envjoy.env.get('FOO'), (('foo', 'bar'), 'baz', (1, 2, 3))) self.assertDeepEqual(envjoy.env.get('FOO', bool), True) self.assertDeepEqual(envjoy.env.get('FOO', int), 123) self.assertDeepEqual(envjoy.env.get('FOO', float), 123.0) self.assertDeepEqual(envjoy.env.get('FOO', str), '(("foo","bar"),"baz",(1,2,3))') self.assertDeepEqual(envjoy.env.get('FOO', tuple), (('foo', 'bar'), 'baz', (1, 2, 3))) self.assertDeepEqual(envjoy.env.get('FOO', list), [['foo', 'bar'], 'baz', [1, 2, 3]]) self.assertDeepEqual(envjoy.env.get('FOO', dict), {}) # environ['FOO'] = '([foo,bar],baz,[1,2,3])' # self.assertDeepEqual(envjoy.env.get('FOO'), (['foo', 'bar'], 'baz', [1, 2, 3])) # self.assertDeepEqual(envjoy.env.get('FOO', bool), True) # self.assertDeepEqual(envjoy.env.get('FOO', int), 123) # self.assertDeepEqual(envjoy.env.get('FOO', float), 123.0) # self.assertDeepEqual(envjoy.env.get('FOO', str), '([foo,bar],baz,[1,2,3])') # self.assertDeepEqual(envjoy.env.get('FOO', tuple), (('foo', 'bar'), 'baz', (1, 2, 3))) # self.assertDeepEqual(envjoy.env.get('FOO', list), [['foo', 'bar'], 'baz', [1, 2, 3]]) # self.assertDeepEqual(envjoy.env.get('FOO', dict), {}) environ['FOO'] = '(["foo","bar"],"baz",[1,2,3])' self.assertDeepEqual(envjoy.env.get('FOO'), (['foo', 'bar'], 'baz', [1, 2, 3])) self.assertDeepEqual(envjoy.env.get('FOO', bool), True) self.assertDeepEqual(envjoy.env.get('FOO', int), 123) self.assertDeepEqual(envjoy.env.get('FOO', float), 123.0) self.assertDeepEqual(envjoy.env.get('FOO', str), '(["foo","bar"],"baz",[1,2,3])') self.assertDeepEqual(envjoy.env.get('FOO', tuple), (('foo', 'bar'), 'baz', (1, 2, 3))) self.assertDeepEqual(envjoy.env.get('FOO', list), [['foo', 'bar'], 'baz', [1, 2, 3]]) self.assertDeepEqual(envjoy.env.get('FOO', dict), {}) # environ['FOO'] = '(foo, bar, baz, 1, 2, 3)' # self.assertDeepEqual(envjoy.env.get('FOO'), ('foo', 'bar', 'baz', 1, 2, 3)) # self.assertDeepEqual(envjoy.env.get('FOO', bool), True) # self.assertDeepEqual(envjoy.env.get('FOO', int), 123) # self.assertDeepEqual(envjoy.env.get('FOO', float), 123.0) # self.assertDeepEqual(envjoy.env.get('FOO', str), '(foo, bar, baz, 1, 2, 3)') # self.assertDeepEqual(envjoy.env.get('FOO', tuple), ('foo', 'bar', 'baz', 1, 2, 3)) # self.assertDeepEqual(envjoy.env.get('FOO', list), ['foo', 'bar', 'baz', 1, 2, 3]) # self.assertDeepEqual(envjoy.env.get('FOO', dict), {}) environ['FOO'] = '("foo", "bar", "baz", 1, 2, 3)' self.assertDeepEqual(envjoy.env.get('FOO'), ('foo', 'bar', 'baz', 1, 2, 3)) self.assertDeepEqual(envjoy.env.get('FOO', bool), True) self.assertDeepEqual(envjoy.env.get('FOO', int), 123) self.assertDeepEqual(envjoy.env.get('FOO', float), 123.0) self.assertDeepEqual(envjoy.env.get('FOO', str), '("foo", "bar", "baz", 1, 2, 3)') self.assertDeepEqual(envjoy.env.get('FOO', tuple), ('foo', 'bar', 'baz', 1, 2, 3)) self.assertDeepEqual(envjoy.env.get('FOO', list), ['foo', 'bar', 'baz', 1, 2, 3]) self.assertDeepEqual(envjoy.env.get('FOO', dict), {}) # environ['FOO'] = '((foo, bar), baz, (1, (2, 3)))' # self.assertDeepEqual(envjoy.env.get('FOO'), (('foo', 'bar'), 'baz', (1, (2, 3)))) # self.assertDeepEqual(envjoy.env.get('FOO', bool), True) # self.assertDeepEqual(envjoy.env.get('FOO', int), 123) # self.assertDeepEqual(envjoy.env.get('FOO', float), 123.0) # self.assertDeepEqual(envjoy.env.get('FOO', str), '((foo, bar), baz, (1, (2, 3)))') # self.assertDeepEqual(envjoy.env.get('FOO', tuple), (('foo', 'bar'), 'baz', (1, (2, 3)))) # self.assertDeepEqual(envjoy.env.get('FOO', list), [['foo', 'bar'], 'baz', [1, [2, 3]]) # self.assertDeepEqual(envjoy.env.get('FOO', dict), {}) environ['FOO'] = '(("foo", "bar"), "baz", (1, (2, 3)))' self.assertDeepEqual(envjoy.env.get('FOO'), (('foo', 'bar'), 'baz', (1, (2, 3)))) self.assertDeepEqual(envjoy.env.get('FOO', bool), True) self.assertDeepEqual(envjoy.env.get('FOO', int), 123) self.assertDeepEqual(envjoy.env.get('FOO', float), 123.0) self.assertDeepEqual(envjoy.env.get('FOO', str), '(("foo", "bar"), "baz", (1, (2, 3)))') self.assertDeepEqual(envjoy.env.get('FOO', tuple), (('foo', 'bar'), 'baz', (1, (2, 3)))) self.assertDeepEqual(envjoy.env.get('FOO', list), [['foo', 'bar'], 'baz', [1, [2, 3]]]) self.assertDeepEqual(envjoy.env.get('FOO', dict), {}) # environ['FOO'] = '([foo, bar], baz, [1, [2, 3]])' # self.assertDeepEqual(envjoy.env.get('FOO'), (['foo', 'bar'], 'baz', [1, [2, 3]])) # self.assertDeepEqual(envjoy.env.get('FOO', bool), True) # self.assertDeepEqual(envjoy.env.get('FOO', int), 123) # self.assertDeepEqual(envjoy.env.get('FOO', float), 123.0) # self.assertDeepEqual(envjoy.env.get('FOO', str), '([foo, bar], baz, [1, [2, 3]])') # self.assertDeepEqual(envjoy.env.get('FOO', tuple), (('foo', 'bar'), 'baz', (1, (2, 3)))) # self.assertDeepEqual(envjoy.env.get('FOO', list), [['foo', 'bar'], 'baz', [1, [2, 3]]]) # self.assertDeepEqual(envjoy.env.get('FOO', dict), {}) environ['FOO'] = '(["foo", "bar"], "baz", [1, [2, 3]])' self.assertDeepEqual(envjoy.env.get('FOO'), (['foo', 'bar'], 'baz', [1, [2, 3]])) self.assertDeepEqual(envjoy.env.get('FOO', bool), True) self.assertDeepEqual(envjoy.env.get('FOO', int), 123) self.assertDeepEqual(envjoy.env.get('FOO', float), 123.0) self.assertDeepEqual(envjoy.env.get('FOO', str), '(["foo", "bar"], "baz", [1, [2, 3]])') self.assertDeepEqual(envjoy.env.get('FOO', tuple), (('foo', 'bar'), 'baz', (1, (2, 3)))) self.assertDeepEqual(envjoy.env.get('FOO', list), [['foo', 'bar'], 'baz', [1, [2, 3]]]) self.assertDeepEqual(envjoy.env.get('FOO', dict), {}) # environ['FOO'] = '[foo,bar,baz,1,2,3]' # self.assertDeepEqual(envjoy.env.get('FOO'), ['foo', 'bar', 'baz', 1, 2, 3]) # self.assertDeepEqual(envjoy.env.get('FOO', bool), True) # self.assertDeepEqual(envjoy.env.get('FOO', int), 123) # self.assertDeepEqual(envjoy.env.get('FOO', float), 123.0) # self.assertDeepEqual(envjoy.env.get('FOO', str), '[foo,bar,baz,1,2,3]') # self.assertDeepEqual(envjoy.env.get('FOO', tuple), ('foo', 'bar', 'baz', 1, 2, 3)) # self.assertDeepEqual(envjoy.env.get('FOO', list), ['foo', 'bar', 'baz', 1, 2, 3]) # self.assertDeepEqual(envjoy.env.get('FOO', dict), {}) environ['FOO'] = '["foo","bar","baz",1,2,3]' self.assertDeepEqual(envjoy.env.get('FOO'), ['foo', 'bar', 'baz', 1, 2, 3]) self.assertDeepEqual(envjoy.env.get('FOO', bool), True) self.assertDeepEqual(envjoy.env.get('FOO', int), 123) self.assertDeepEqual(envjoy.env.get('FOO', float), 123.0) self.assertDeepEqual(envjoy.env.get('FOO', str), '["foo","bar","baz",1,2,3]') self.assertDeepEqual(envjoy.env.get('FOO', tuple), ('foo', 'bar', 'baz', 1, 2, 3)) self.assertDeepEqual(envjoy.env.get('FOO', list), ['foo', 'bar', 'baz', 1, 2, 3]) self.assertDeepEqual(envjoy.env.get('FOO', dict), {}) # environ['FOO'] = '[(foo,bar),baz,(1,(2,3))]' # self.assertDeepEqual(envjoy.env.get('FOO'), [('foo', 'bar'), 'baz', (1, (2, 3))]) # self.assertDeepEqual(envjoy.env.get('FOO', bool), True) # self.assertDeepEqual(envjoy.env.get('FOO', int), 123) # self.assertDeepEqual(envjoy.env.get('FOO', float), 123.0) # self.assertDeepEqual(envjoy.env.get('FOO', str), '[(foo,bar),baz,(1,(2,3))]') # self.assertDeepEqual(envjoy.env.get('FOO', tuple), (('foo', 'bar'), 'baz', (1, (2, 3)))) # self.assertDeepEqual(envjoy.env.get('FOO', list), [('foo', 'bar'), 'baz', (1, (2, 3))]) # self.assertDeepEqual(envjoy.env.get('FOO', dict), {}) environ['FOO'] = '[("foo","bar"),"baz",(1,(2,3))]' self.assertDeepEqual(envjoy.env.get('FOO'), [('foo', 'bar'), 'baz', (1, (2, 3))]) self.assertDeepEqual(envjoy.env.get('FOO', bool), True) self.assertDeepEqual(envjoy.env.get('FOO', int), 123) self.assertDeepEqual(envjoy.env.get('FOO', float), 123.0) self.assertDeepEqual(envjoy.env.get('FOO', str), '[("foo","bar"),"baz",(1,(2,3))]') self.assertDeepEqual(envjoy.env.get('FOO', tuple), (('foo', 'bar'), 'baz', (1, (2, 3)))) self.assertDeepEqual(envjoy.env.get('FOO', list), [['foo', 'bar'], 'baz', [1, [2, 3]]]) self.assertDeepEqual(envjoy.env.get('FOO', dict), {}) # environ['FOO'] = '[[foo,bar],baz,[1,[2,3]]' # self.assertDeepEqual(envjoy.env.get('FOO'), [['foo', 'bar'], 'baz', [1, [2, 3]]]) # self.assertDeepEqual(envjoy.env.get('FOO', bool), True) # self.assertDeepEqual(envjoy.env.get('FOO', int), 123) # self.assertDeepEqual(envjoy.env.get('FOO', float), 123.0) # self.assertDeepEqual(envjoy.env.get('FOO', str), '[[foo,bar],baz,[1,[2,3]]]') # self.assertDeepEqual(envjoy.env.get('FOO', tuple), (('foo', 'bar'), 'baz', (1, (2, 3)))) # self.assertDeepEqual(envjoy.env.get('FOO', list), [['foo', 'bar'], 'baz', [1, [2, 3]]]) # self.assertDeepEqual(envjoy.env.get('FOO', dict), {}) environ['FOO'] = '[["foo","bar"],"baz",[1,[2,3]]]' self.assertDeepEqual(envjoy.env.get('FOO'), [['foo', 'bar'], 'baz', [1, [2, 3]]]) self.assertDeepEqual(envjoy.env.get('FOO', bool), True) self.assertDeepEqual(envjoy.env.get('FOO', int), 123) self.assertDeepEqual(envjoy.env.get('FOO', float), 123.0) self.assertDeepEqual(envjoy.env.get('FOO', str), '[["foo","bar"],"baz",[1,[2,3]]]') self.assertDeepEqual(envjoy.env.get('FOO', tuple), (('foo', 'bar'), 'baz', (1, (2, 3)))) self.assertDeepEqual(envjoy.env.get('FOO', list), [['foo', 'bar'], 'baz', [1, [2, 3]]]) self.assertDeepEqual(envjoy.env.get('FOO', dict), {}) # environ['FOO'] = '[foo, bar, baz, 1, 2, 3]' # self.assertDeepEqual(envjoy.env.get('FOO'), ['foo', 'bar', 'baz', 1, 2, 3]) # self.assertDeepEqual(envjoy.env.get('FOO', bool), True) # self.assertDeepEqual(envjoy.env.get('FOO', int), 123) # self.assertDeepEqual(envjoy.env.get('FOO', float), 123.0) # self.assertDeepEqual(envjoy.env.get('FOO', str), '[foo, bar, baz, 1, 2, 3]') # self.assertDeepEqual(envjoy.env.get('FOO', tuple), ('foo', 'bar', 'baz', 1, 2, 3)) # self.assertDeepEqual(envjoy.env.get('FOO', list), ['foo', 'bar', 'baz', 1, 2, 3]) # self.assertDeepEqual(envjoy.env.get('FOO', dict), {}) environ['FOO'] = '["foo", "bar", "baz", 1, 2, 3]' self.assertDeepEqual(envjoy.env.get('FOO'), ['foo', 'bar', 'baz', 1, 2, 3]) self.assertDeepEqual(envjoy.env.get('FOO', bool), True) self.assertDeepEqual(envjoy.env.get('FOO', int), 123) self.assertDeepEqual(envjoy.env.get('FOO', float), 123.0) self.assertDeepEqual(envjoy.env.get('FOO', str), '["foo", "bar", "baz", 1, 2, 3]') self.assertDeepEqual(envjoy.env.get('FOO', tuple), ('foo', 'bar', 'baz', 1, 2, 3)) self.assertDeepEqual(envjoy.env.get('FOO', list), ['foo', 'bar', 'baz', 1, 2, 3]) self.assertDeepEqual(envjoy.env.get('FOO', dict), {}) # environ['FOO'] = '[(foo, bar), baz, (1, (2, 3))]' # self.assertDeepEqual(envjoy.env.get('FOO'), [('foo', 'bar'), 'baz', (1, (2, 3))]) # self.assertDeepEqual(envjoy.env.get('FOO', bool), True) # self.assertDeepEqual(envjoy.env.get('FOO', int), 123) # self.assertDeepEqual(envjoy.env.get('FOO', float), 123.0) # self.assertDeepEqual(envjoy.env.get('FOO', str), '[(foo, bar), baz, (1, (2, 3))]') # self.assertDeepEqual(envjoy.env.get('FOO', tuple), (('foo', 'bar'), 'baz', (1, (2, 3)))) # self.assertDeepEqual(envjoy.env.get('FOO', list), [['foo', 'bar'], 'baz', [1, [2, 3]]]) # self.assertDeepEqual(envjoy.env.get('FOO', dict), {}) environ['FOO'] = '[("foo", "bar"), "baz", (1, (2, 3))]' self.assertDeepEqual(envjoy.env.get('FOO'), [('foo', 'bar'), 'baz', (1, (2, 3))]) self.assertDeepEqual(envjoy.env.get('FOO', bool), True) self.assertDeepEqual(envjoy.env.get('FOO', int), 123) self.assertDeepEqual(envjoy.env.get('FOO', float), 123.0) self.assertDeepEqual(envjoy.env.get('FOO', str), '[("foo", "bar"), "baz", (1, (2, 3))]') self.assertDeepEqual(envjoy.env.get('FOO', tuple), (('foo', 'bar'), 'baz', (1, (2, 3)))) self.assertDeepEqual(envjoy.env.get('FOO', list), [['foo', 'bar'], 'baz', [1, [2, 3]]]) self.assertDeepEqual(envjoy.env.get('FOO', dict), {}) # environ['FOO'] = '[[foo, bar], baz, [1, [2, 3]]]' # self.assertDeepEqual(envjoy.env.get('FOO'), [['foo', 'bar'], 'baz', [1, [2, 3]]]) # self.assertDeepEqual(envjoy.env.get('FOO', bool), True) # self.assertDeepEqual(envjoy.env.get('FOO', int), 123) # self.assertDeepEqual(envjoy.env.get('FOO', float), 123.0) # self.assertDeepEqual(envjoy.env.get('FOO', str), '[[foo, bar], baz, [1, [2, 3]]]') # self.assertDeepEqual(envjoy.env.get('FOO', tuple), (('foo', 'bar'), 'baz', (1, (2, 3)))) # self.assertDeepEqual(envjoy.env.get('FOO', list), [['foo', 'bar'], 'baz', [1, [2, 3]]]) # self.assertDeepEqual(envjoy.env.get('FOO', dict), {}) environ['FOO'] = '[["foo", "bar"], "baz", [1, [2, 3]]]' self.assertDeepEqual(envjoy.env.get('FOO'), [['foo', 'bar'], 'baz', [1, [2, 3]]]) self.assertDeepEqual(envjoy.env.get('FOO', bool), True) self.assertDeepEqual(envjoy.env.get('FOO', int), 123) self.assertDeepEqual(envjoy.env.get('FOO', float), 123.0) self.assertDeepEqual(envjoy.env.get('FOO', str), '[["foo", "bar"], "baz", [1, [2, 3]]]') self.assertDeepEqual(envjoy.env.get('FOO', tuple), (('foo', 'bar'), 'baz', (1, (2, 3)))) self.assertDeepEqual(envjoy.env.get('FOO', list), [['foo', 'bar'], 'baz', [1, [2, 3]]]) self.assertDeepEqual(envjoy.env.get('FOO', dict), {}) # environ['FOO'] = '((foo, 1), (bar, 2))' # self.assertDeepEqual(envjoy.env.get('FOO'), (('foo', 1), ('bar', 2))) # self.assertDeepEqual(envjoy.env.get('FOO', bool), True) # self.assertDeepEqual(envjoy.env.get('FOO', int), 12) # self.assertDeepEqual(envjoy.env.get('FOO', float), 12.0) # self.assertDeepEqual(envjoy.env.get('FOO', str), '((foo, 1), (bar, 2))') # self.assertDeepEqual(envjoy.env.get('FOO', tuple), (('foo', 1), ('bar', 2))) # self.assertDeepEqual(envjoy.env.get('FOO', list), [['foo', 1], ['bar', 2]]) # self.assertDeepEqual(envjoy.env.get('FOO', dict), {'foo': 1, 'bar': 2}) environ['FOO'] = '(("foo", 1), ("bar", 2))' self.assertDeepEqual(envjoy.env.get('FOO'), (('foo', 1), ('bar', 2))) self.assertDeepEqual(envjoy.env.get('FOO', bool), True) self.assertDeepEqual(envjoy.env.get('FOO', int), 12) self.assertDeepEqual(envjoy.env.get('FOO', float), 12.0) self.assertDeepEqual(envjoy.env.get('FOO', str), '(("foo", 1), ("bar", 2))') self.assertDeepEqual(envjoy.env.get('FOO', tuple), (('foo', 1), ('bar', 2))) self.assertDeepEqual(envjoy.env.get('FOO', list), [['foo', 1], ['bar', 2]]) self.assertDeepEqual(envjoy.env.get('FOO', dict), {'foo': 1, 'bar': 2}) # environ['FOO'] = '[(foo, 1), (bar, 2)]' # self.assertDeepEqual(envjoy.env.get('FOO'), [('foo', 1), ('bar', 2)]) # self.assertDeepEqual(envjoy.env.get('FOO', bool), True) # self.assertDeepEqual(envjoy.env.get('FOO', int), 12) # self.assertDeepEqual(envjoy.env.get('FOO', float), 12.0) # self.assertDeepEqual(envjoy.env.get('FOO', str), '[(foo, 1), (bar, 2)]') # self.assertDeepEqual(envjoy.env.get('FOO', tuple), (('foo', 1), ('bar', 2))) # self.assertDeepEqual(envjoy.env.get('FOO', list), [['foo', 1], ['bar', 2]]) # self.assertDeepEqual(envjoy.env.get('FOO', dict), {'foo': 1, 'bar': 2}) environ['FOO'] = '[("foo", 1), ("bar", 2)]' self.assertDeepEqual(envjoy.env.get('FOO'), [('foo', 1), ('bar', 2)]) self.assertDeepEqual(envjoy.env.get('FOO', bool), True) self.assertDeepEqual(envjoy.env.get('FOO', int), 12) self.assertDeepEqual(envjoy.env.get('FOO', float), 12.0) self.assertDeepEqual(envjoy.env.get('FOO', str), '[("foo", 1), ("bar", 2)]') self.assertDeepEqual(envjoy.env.get('FOO', tuple), (('foo', 1), ('bar', 2))) self.assertDeepEqual(envjoy.env.get('FOO', list), [['foo', 1], ['bar', 2]]) self.assertDeepEqual(envjoy.env.get('FOO', dict), {'foo': 1, 'bar': 2}) # environ['FOO'] = '([foo, 1], [bar, 2])' # self.assertDeepEqual(envjoy.env.get('FOO'), (['foo', 1], ['bar', 2])) # self.assertDeepEqual(envjoy.env.get('FOO', bool), True) # self.assertDeepEqual(envjoy.env.get('FOO', int), 12) # self.assertDeepEqual(envjoy.env.get('FOO', float), 12.0) # self.assertDeepEqual(envjoy.env.get('FOO', str), '([foo, 1], [bar, 2])') # self.assertDeepEqual(envjoy.env.get('FOO', tuple), (('foo', 1), ('bar', 2))) # self.assertDeepEqual(envjoy.env.get('FOO', list), [['foo', 1], ['bar', 2]]) # self.assertDeepEqual(envjoy.env.get('FOO', dict), {'foo': 1, 'bar': 2}) environ['FOO'] = '(["foo", 1], ["bar", 2])' self.assertDeepEqual(envjoy.env.get('FOO'), (['foo', 1], ['bar', 2])) self.assertDeepEqual(envjoy.env.get('FOO', bool), True) self.assertDeepEqual(envjoy.env.get('FOO', int), 12) self.assertDeepEqual(envjoy.env.get('FOO', float), 12.0) self.assertDeepEqual(envjoy.env.get('FOO', str), '(["foo", 1], ["bar", 2])') self.assertDeepEqual(envjoy.env.get('FOO', tuple), (('foo', 1), ('bar', 2))) self.assertDeepEqual(envjoy.env.get('FOO', list), [['foo', 1], ['bar', 2]]) self.assertDeepEqual(envjoy.env.get('FOO', dict), {'foo': 1, 'bar': 2}) environ['FOO'] = str(('foo', 'bar', 'baz', 1, 2, 3)) self.assertDeepEqual(envjoy.env.get('FOO'), ('foo', 'bar', 'baz', 1, 2, 3)) self.assertDeepEqual(envjoy.env.get('FOO', bool), True) self.assertDeepEqual(envjoy.env.get('FOO', int), 123) self.assertDeepEqual(envjoy.env.get('FOO', float), 123.0) self.assertDeepEqual(envjoy.env.get('FOO', str), "('foo', 'bar', 'baz', 1, 2, 3)") self.assertDeepEqual(envjoy.env.get('FOO', tuple), ('foo', 'bar', 'baz', 1, 2, 3)) self.assertDeepEqual(envjoy.env.get('FOO', list), ['foo', 'bar', 'baz', 1, 2, 3]) self.assertDeepEqual(envjoy.env.get('FOO', dict), {}) environ['FOO'] = str(['foo', 'bar', 'baz', 1, 2, 3]) self.assertDeepEqual(envjoy.env.get('FOO'), ['foo', 'bar', 'baz', 1, 2, 3]) self.assertDeepEqual(envjoy.env.get('FOO', bool), True) self.assertDeepEqual(envjoy.env.get('FOO', int), 123) self.assertDeepEqual(envjoy.env.get('FOO', float), 123.0) self.assertDeepEqual(envjoy.env.get('FOO', str), "['foo', 'bar', 'baz', 1, 2, 3]") self.assertDeepEqual(envjoy.env.get('FOO', tuple), ('foo', 'bar', 'baz', 1, 2, 3)) self.assertDeepEqual(envjoy.env.get('FOO', list), ['foo', 'bar', 'baz', 1, 2, 3]) self.assertDeepEqual(envjoy.env.get('FOO', dict), {}) environ['FOO'] = str({'foo': 1, 'bar': 2, 'baz': 3}) self.assertDeepEqual(envjoy.env.get('FOO'), {'foo': 1, 'bar': 2, 'baz': 3}) self.assertDeepEqual(envjoy.env.get('FOO', bool), True) # NOTE: no consistency within Python's major versions even >:'( try: self.assertDeepEqual(envjoy.env['FOO', int], 213) self.assertDeepEqual(envjoy.env['FOO', float], 213.0) self.assertDeepEqual(envjoy.env['FOO', str], "{'baz': 3, 'foo': 1, 'bar': 2}") except: self.assertDeepEqual(envjoy.env.get('FOO', int), 123) self.assertDeepEqual(envjoy.env.get('FOO', float), 123.0) self.assertDeepEqual(envjoy.env.get('FOO', str), "{'foo': 1, 'bar': 2, 'baz': 3}") self.assertDeepEqual(envjoy.env.get('FOO', tuple), ({'bar': 2, 'baz': 3, 'foo': 1},)) self.assertDeepEqual(envjoy.env.get('FOO', list), [{'bar': 2, 'baz': 3, 'foo': 1}]) self.assertDeepEqual(envjoy.env.get('FOO', dict), {'foo': 1, 'bar': 2, 'baz': 3}) def test_set(self): self.assertTrue(hasattr(envjoy.env, 'set')) self.assertTrue(callable(envjoy.env.set)) environ.clear() environ['FOO'] = '1' environ['bar'] = '2' self.assertDeepEqual(list(environ.items()), [('FOO', '1'), ('bar', '2')]) envjoy.env.set('BAZ', 3) self.assertDeepEqual(list(environ.items()), [('FOO', '1'), ('bar', '2'), ('BAZ', '3')]) with self.assertRaises(Exception): envjoy.env.set('FOO') self.assertDeepEqual(list(environ.items()), [('FOO', '1'), ('bar', '2'), ('BAZ', '3')]) envjoy.env.set('FOO', None) self.assertDeepEqual(list(environ.items()), [('FOO', ''), ('bar', '2'), ('BAZ', '3')]) envjoy.env.set('FOO', True) self.assertDeepEqual(list(environ.items()), [('FOO', 'True'), ('bar', '2'), ('BAZ', '3')]) envjoy.env.set('FOO', 'true') self.assertDeepEqual(list(environ.items()), [('FOO', 'true'), ('bar', '2'), ('BAZ', '3')]) envjoy.env.set('FOO', 0) self.assertDeepEqual(list(environ.items()), [('FOO', '0'), ('bar', '2'), ('BAZ', '3')]) envjoy.env.set('FOO', '0') self.assertDeepEqual(list(environ.items()), [('FOO', '0'), ('bar', '2'), ('BAZ', '3')]) envjoy.env.set('FOO', 0.01) self.assertDeepEqual(list(environ.items()), [('FOO', '0.01'), ('bar', '2'), ('BAZ', '3')]) envjoy.env.set('FOO', '0.01') self.assertDeepEqual(list(environ.items()), [('FOO', '0.01'), ('bar', '2'), ('BAZ', '3')]) envjoy.env.set('FOO', 'foo bar baz 1 2 3') self.assertDeepEqual(list(environ.items()), [('FOO', 'foo bar baz 1 2 3'), ('bar', '2'), ('BAZ', '3')]) envjoy.env.set('FOO', 'foo,bar,baz,1,2,3') self.assertDeepEqual(list(environ.items()), [('FOO', 'foo,bar,baz,1,2,3'), ('bar', '2'), ('BAZ', '3')]) envjoy.env.set('FOO', '(foo,bar,baz,1,2,3)') self.assertDeepEqual(list(environ.items()), [('FOO', '(foo,bar,baz,1,2,3)'), ('bar', '2'), ('BAZ', '3')]) envjoy.env.set('FOO', '[foo,bar,baz,1,2,3]') self.assertDeepEqual(list(environ.items()), [('FOO', '[foo,bar,baz,1,2,3]'), ('bar', '2'), ('BAZ', '3')]) envjoy.env.set('FOO', ('foo', 'bar', 'baz', 1, 2, 3)) self.assertDeepEqual(list(environ.items()), [('FOO', "('foo', 'bar', 'baz', 1, 2, 3)"), ('bar', '2'), ('BAZ', '3')]) envjoy.env.set('FOO', ['foo', 'bar', 'baz', 1, 2, 3]) self.assertDeepEqual(list(environ.items()), [('FOO', "['foo', 'bar', 'baz', 1, 2, 3]"), ('bar', '2'), ('BAZ', '3')]) envjoy.env.set('FOO', {'foo': 1, 'bar': 2, 'baz': 3}) # NOTE: no consistency within Python's major versions even >:'( try: self.assertDeepEqual(list(environ.items()), [('BAZ', '3'), ('FOO', "{'bar': 2, 'foo': 1, 'baz': 3}"), ('bar', '2')]) except: self.assertDeepEqual(list(environ.items()), [('FOO', "{'foo': 1, 'bar': 2, 'baz': 3}"), ('bar', '2'), ('BAZ', '3')]) envjoy.env.set('FOO', {'foo': {'bar': {'baz': True}}}) self.assertDeepEqual(list(environ.items()), [('FOO', "{'foo': {'bar': {'baz': True}}}"), ('bar', '2'), ('BAZ', '3')]) envjoy.env.set('FOO', OrderedDict({'foo': 1, 'bar': 2, 'baz': 3})) # NOTE: no consistency within Python's major versions even >:'( try: self.assertDeepEqual(list(environ.items()), [('BAZ', '3'), ('FOO', "{'baz': 3, 'foo': 1, 'bar': 2}"), ('bar', '2')]) except: self.assertDeepEqual(list(environ.items()), [('FOO', "{'foo': 1, 'bar': 2, 'baz': 3}"), ('bar', '2'), ('BAZ', '3')]) def test_delete(self): self.assertTrue(hasattr(envjoy.env, 'delete')) self.assertTrue(callable(envjoy.env.delete)) environ.clear() environ['FOO'] = '1' environ['bar'] = '2' self.assertDeepEqual(list(environ.keys()), ['FOO', 'bar']) envjoy.env.delete('BAZ') self.assertDeepEqual(list(environ.keys()), ['FOO', 'bar']) envjoy.env.delete('FOO') self.assertDeepEqual(list(environ.keys()), ['bar']) envjoy.env.delete('BAR') self.assertDeepEqual(list(environ.keys()), ['bar']) envjoy.env.delete('bar') self.assertDeepEqual(list(environ.keys()), []) def test_exists(self): self.assertTrue(hasattr(envjoy.env, 'exists')) self.assertTrue(callable(envjoy.env.exists)) environ.clear() self.assertDeepEqual(envjoy.env.exists('XXX'), False) self.assertDeepEqual(envjoy.env.exists('BOOL'), False) self.assertDeepEqual(envjoy.env.exists('INT'), False) self.assertDeepEqual(envjoy.env.exists('FLOAT'), False) self.assertDeepEqual(envjoy.env.exists('TUPLE'), False) self.assertDeepEqual(envjoy.env.exists('LIST'), False) self.assertDeepEqual(envjoy.env.exists('DICT'), False) environ['BOOL'] = str(True) environ['INT'] = str(1) environ['FLOAT'] = str(1.01) environ['TUPLE'] = str((1, 2, 3)) environ['LIST'] = str([1, 2, 3]) environ['DICT'] = str({'foo': [1, 2, 3]}) self.assertDeepEqual(envjoy.env.exists('XXX'), False) self.assertDeepEqual(envjoy.env.exists('BOOL'), True) self.assertDeepEqual(envjoy.env.exists('INT'), True) self.assertDeepEqual(envjoy.env.exists('FLOAT'), True) self.assertDeepEqual(envjoy.env.exists('TUPLE'), True) self.assertDeepEqual(envjoy.env.exists('LIST'), True) self.assertDeepEqual(envjoy.env.exists('DICT'), True) def test_clear(self): self.assertTrue(hasattr(envjoy.env, 'clear')) self.assertTrue(callable(envjoy.env.clear)) environ.clear() environ['FOO'] = '1' environ['bar'] = '2' self.assertDeepEqual(list(environ.keys()), ['FOO', 'bar']) envjoy.env.clear() self.assertDeepEqual(list(environ.keys()), []) def test_size(self): self.assertTrue(hasattr(envjoy.env, 'size')) self.assertTrue(callable(envjoy.env.size)) self.assertIsInstance(envjoy.env.size(), int) environ.clear() environ['BOOL'] = str(True) environ['INT'] = str(1) environ['FLOAT'] = str(1.01) environ['TUPLE'] = str((1, 2, 3)) environ['LIST'] = str([1, 2, 3]) environ['DICT'] = str({'foo': [1, 2, 3]}) self.assertDeepEqual(envjoy.env.size(), 6) def test_inspect(self): self.assertTrue(hasattr(envjoy.env, 'inspect')) self.assertTrue(callable(envjoy.env.inspect)) environ.clear() environ['FOO'] = '1' self.assertIsInstance(envjoy.env.inspect(), string_types) self.assertDeepEqual(envjoy.env.inspect(), inspecta.inspect({'FOO': 1})) def test_print(self): self.assertTrue(hasattr(envjoy.env, 'print')) self.assertTrue(callable(envjoy.env.print)) with self.assertNotRaises(Exception): envjoy.env.print() def test_keys(self): self.assertTrue(hasattr(envjoy.env, 'keys')) self.assertTrue(callable(envjoy.env.keys)) self.assertIsInstance(envjoy.env.keys(), Iterable) environ.clear() environ['BOOL'] = str(True) environ['INT'] = str(1) environ['FLOAT'] = str(1.01) environ['TUPLE'] = str((1, 2, 3)) environ['LIST'] = str([1, 2, 3]) environ['DICT'] = str({'foo': [1, 2, 3]}) self.assertDeepEqual(list(envjoy.env.keys()), [ 'BOOL', 'INT', 'FLOAT', 'TUPLE', 'LIST', 'DICT', ]) def test_values(self): self.assertTrue(hasattr(envjoy.env, 'values')) self.assertTrue(callable(envjoy.env.values)) self.assertIsInstance(envjoy.env.values(), Iterable) environ.clear() environ['BOOL'] = str(True) environ['INT'] = str(1) environ['FLOAT'] = str(1.01) environ['TUPLE'] = str((1, 2, 3)) environ['LIST'] = str([1, 2, 3]) environ['DICT'] = str({'foo': [1, 2, 3]}) self.assertDeepEqual(list(envjoy.env.values()), [ True, 1, 1.01, (1, 2, 3), [1, 2, 3], {'foo': [1, 2, 3]}, ]) def test_items(self): self.assertTrue(hasattr(envjoy.env, 'items')) self.assertTrue(callable(envjoy.env.items)) environ.clear() environ['BOOL'] = str(True) environ['INT'] = str(1) environ['FLOAT'] = str(1.01) environ['TUPLE'] = str((1, 2, 3)) environ['LIST'] = str([1, 2, 3]) environ['DICT'] = str({'foo': [1, 2, 3]}) self.assertDeepEqual(list(envjoy.env.items()), [ ('BOOL', True), ('INT', 1), ('FLOAT', 1.01), ('TUPLE', (1, 2, 3)), ('LIST', [1, 2, 3]), ('DICT', {'foo': [1, 2, 3]}), ]) def test_tolist(self): self.assertTrue(hasattr(envjoy.env, 'tolist')) self.assertTrue(callable(envjoy.env.tolist)) self.assertIsInstance(envjoy.env.tolist(), list) environ.clear() environ['BOOL'] = str(True) environ['INT'] = str(1) environ['FLOAT'] = str(1.01) environ['TUPLE'] = str((1, 2, 3)) environ['LIST'] = str([1, 2, 3]) environ['DICT'] = str({'foo': [1, 2, 3]}) self.assertDeepEqual(envjoy.env.tolist(), [ ('BOOL', True), ('INT', 1), ('FLOAT', 1.01), ('TUPLE', (1, 2, 3)), ('LIST', [1, 2, 3]), ('DICT', {'foo': [1, 2, 3]}), ]) def test_todict(self): self.assertTrue(hasattr(envjoy.env, 'todict')) self.assertTrue(callable(envjoy.env.todict)) self.assertIsInstance(envjoy.env.todict(), dict) environ.clear() environ['BOOL'] = str(True) environ['INT'] = str(1) environ['FLOAT'] = str(1.01) environ['TUPLE'] = str((1, 2, 3)) environ['LIST'] = str([1, 2, 3]) environ['DICT'] = str({'foo': [1, 2, 3]}) self.assertDeepEqual(envjoy.env.todict(), { 'BOOL': True, 'INT': 1, 'FLOAT': 1.01, 'TUPLE': (1, 2, 3), 'LIST': [1, 2, 3], 'DICT': {'foo': [1, 2, 3]}, }) def test___getitem__(self): self.assertTrue(hasattr(envjoy.env, '__getitem__')) self.assertTrue(callable(envjoy.env.__getitem__)) environ.clear() self.assertDeepEqual(envjoy.env['FOO'], None) self.assertDeepEqual(envjoy.env['BAR'], None) environ['FOO'] = '0' self.assertDeepEqual(envjoy.env['FOO'], 0) self.assertDeepEqual(envjoy.env['FOO', bool], False) self.assertDeepEqual(envjoy.env['FOO', int], 0) self.assertDeepEqual(envjoy.env['FOO', float], 0.0) self.assertDeepEqual(envjoy.env['FOO', str], '0') self.assertDeepEqual(envjoy.env['FOO', tuple], (0,)) self.assertDeepEqual(envjoy.env['FOO', list], [0]) self.assertDeepEqual(envjoy.env['FOO', dict], {}) environ['FOO'] = '1' self.assertDeepEqual(envjoy.env['FOO'], 1) self.assertDeepEqual(envjoy.env['FOO', bool], True) self.assertDeepEqual(envjoy.env['FOO', int], 1) self.assertDeepEqual(envjoy.env['FOO', float], 1.0) self.assertDeepEqual(envjoy.env['FOO', str], '1') self.assertDeepEqual(envjoy.env['FOO', tuple], (1,)) self.assertDeepEqual(envjoy.env['FOO', list], [1]) self.assertDeepEqual(envjoy.env['FOO', dict], {}) environ['FOO'] = '-1' self.assertDeepEqual(envjoy.env['FOO'], -1) self.assertDeepEqual(envjoy.env['FOO', bool], True) self.assertDeepEqual(envjoy.env['FOO', int], -1) self.assertDeepEqual(envjoy.env['FOO', float], -1.0) self.assertDeepEqual(envjoy.env['FOO', str], '-1') self.assertDeepEqual(envjoy.env['FOO', tuple], (-1,)) self.assertDeepEqual(envjoy.env['FOO', list], [-1]) self.assertDeepEqual(envjoy.env['FOO', dict], {}) environ['FOO'] = '12.34' self.assertDeepEqual(envjoy.env['FOO'], 12.34) self.assertDeepEqual(envjoy.env['FOO', bool], True) self.assertDeepEqual(envjoy.env['FOO', int], 12) self.assertDeepEqual(envjoy.env['FOO', float], 12.34) self.assertDeepEqual(envjoy.env['FOO', str], '12.34') self.assertDeepEqual(envjoy.env['FOO', tuple], (12.34,)) self.assertDeepEqual(envjoy.env['FOO', list], [12.34]) self.assertDeepEqual(envjoy.env['FOO', dict], {}) environ['FOO'] = '-12.34' self.assertDeepEqual(envjoy.env['FOO'], -12.34) self.assertDeepEqual(envjoy.env['FOO', bool], True) self.assertDeepEqual(envjoy.env['FOO', int], -12) self.assertDeepEqual(envjoy.env['FOO', float], -12.34) self.assertDeepEqual(envjoy.env['FOO', str], '-12.34') self.assertDeepEqual(envjoy.env['FOO', tuple], (-12.34,)) self.assertDeepEqual(envjoy.env['FOO', list], [-12.34]) self.assertDeepEqual(envjoy.env['FOO', dict], {}) environ['FOO'] = 'foo bar baz 1 2 3' self.assertDeepEqual(envjoy.env['FOO'], 'foo bar baz 1 2 3') self.assertDeepEqual(envjoy.env['FOO', bool], True) self.assertDeepEqual(envjoy.env['FOO', int], 123) self.assertDeepEqual(envjoy.env['FOO', float], 123.0) self.assertDeepEqual(envjoy.env['FOO', str], 'foo bar baz 1 2 3') self.assertDeepEqual(envjoy.env['FOO', tuple], ('foo bar baz 1 2 3',)) self.assertDeepEqual(envjoy.env['FOO', list], ['foo bar baz 1 2 3']) self.assertDeepEqual(envjoy.env['FOO', dict], {}) environ['FOO'] = 'foo,bar,baz,1,2,3' self.assertDeepEqual(envjoy.env['FOO'], 'foo,bar,baz,1,2,3') self.assertDeepEqual(envjoy.env['FOO', bool], True) self.assertDeepEqual(envjoy.env['FOO', int], 123) self.assertDeepEqual(envjoy.env['FOO', float], 123.0) self.assertDeepEqual(envjoy.env['FOO', str], 'foo,bar,baz,1,2,3') self.assertDeepEqual(envjoy.env['FOO', tuple], ('foo,bar,baz,1,2,3',)) self.assertDeepEqual(envjoy.env['FOO', list], ['foo,bar,baz,1,2,3']) self.assertDeepEqual(envjoy.env['FOO', dict], {}) environ['FOO'] = 'foo, bar, baz, 1, 2, 3' self.assertDeepEqual(envjoy.env['FOO'], 'foo, bar, baz, 1, 2, 3') self.assertDeepEqual(envjoy.env['FOO', bool], True) self.assertDeepEqual(envjoy.env['FOO', int], 123) self.assertDeepEqual(envjoy.env['FOO', float], 123.0) self.assertDeepEqual(envjoy.env['FOO', str], 'foo, bar, baz, 1, 2, 3') self.assertDeepEqual(envjoy.env['FOO', tuple], ('foo, bar, baz, 1, 2, 3',)) self.assertDeepEqual(envjoy.env['FOO', list], ['foo, bar, baz, 1, 2, 3']) self.assertDeepEqual(envjoy.env['FOO', dict], {}) # environ['FOO'] = '(foo,bar,baz,1,2,3)' # self.assertDeepEqual(envjoy.env['FOO'], ('foo', 'bar', 'baz', 1, 2, 3)) # self.assertDeepEqual(envjoy.env['FOO', bool], True) # self.assertDeepEqual(envjoy.env['FOO', int], 123) # self.assertDeepEqual(envjoy.env['FOO', float], 123.0) # self.assertDeepEqual(envjoy.env['FOO', str], '(foo,bar,baz,1,2,3)') # self.assertDeepEqual(envjoy.env['FOO', tuple], ('foo', 'bar', 'baz', 1, 2, 3)) # self.assertDeepEqual(envjoy.env['FOO', list], ['foo', 'bar', 'baz', 1, 2, 3]) # self.assertDeepEqual(envjoy.env['FOO', dict], {}) environ['FOO'] = '("foo","bar","baz",1,2,3)' self.assertDeepEqual(envjoy.env['FOO'], ('foo', 'bar', 'baz', 1, 2, 3)) self.assertDeepEqual(envjoy.env['FOO', bool], True) self.assertDeepEqual(envjoy.env['FOO', int], 123) self.assertDeepEqual(envjoy.env['FOO', float], 123.0) self.assertDeepEqual(envjoy.env['FOO', str], '("foo","bar","baz",1,2,3)') self.assertDeepEqual(envjoy.env['FOO', tuple], ('foo', 'bar', 'baz', 1, 2, 3)) self.assertDeepEqual(envjoy.env['FOO', list], ['foo', 'bar', 'baz', 1, 2, 3]) self.assertDeepEqual(envjoy.env['FOO', dict], {}) # environ['FOO'] = '((foo,bar),baz,(1,2,3))' # self.assertDeepEqual(envjoy.env['FOO'], (('foo', 'bar'), 'baz', (1, 2, 3))) # self.assertDeepEqual(envjoy.env['FOO', bool], True) # self.assertDeepEqual(envjoy.env['FOO', int], 123) # self.assertDeepEqual(envjoy.env['FOO', float], 123.0) # self.assertDeepEqual(envjoy.env['FOO', str], '((foo,bar),baz,(1,2,3))') # self.assertDeepEqual(envjoy.env['FOO', tuple], (('foo', 'bar'), 'baz', (1, 2, 3))) # self.assertDeepEqual(envjoy.env['FOO', list], [['foo', 'bar'], 'baz', [1, 2, 3]]) # self.assertDeepEqual(envjoy.env['FOO', dict], {}) environ['FOO'] = '(("foo","bar"),"baz",(1,2,3))' self.assertDeepEqual(envjoy.env['FOO'], (('foo', 'bar'), 'baz', (1, 2, 3))) self.assertDeepEqual(envjoy.env['FOO', bool], True) self.assertDeepEqual(envjoy.env['FOO', int], 123) self.assertDeepEqual(envjoy.env['FOO', float], 123.0) self.assertDeepEqual(envjoy.env['FOO', str], '(("foo","bar"),"baz",(1,2,3))') self.assertDeepEqual(envjoy.env['FOO', tuple], (('foo', 'bar'), 'baz', (1, 2, 3))) self.assertDeepEqual(envjoy.env['FOO', list], [['foo', 'bar'], 'baz', [1, 2, 3]]) self.assertDeepEqual(envjoy.env['FOO', dict], {}) # environ['FOO'] = '([foo,bar],baz,[1,2,3])' # self.assertDeepEqual(envjoy.env['FOO'], (['foo', 'bar'], 'baz', [1, 2, 3])) # self.assertDeepEqual(envjoy.env['FOO', bool], True) # self.assertDeepEqual(envjoy.env['FOO', int], 123) # self.assertDeepEqual(envjoy.env['FOO', float], 123.0) # self.assertDeepEqual(envjoy.env['FOO', str], '([foo,bar],baz,[1,2,3])') # self.assertDeepEqual(envjoy.env['FOO', tuple], (('foo', 'bar'), 'baz', (1, 2, 3))) # self.assertDeepEqual(envjoy.env['FOO', list], [['foo', 'bar'], 'baz', [1, 2, 3]]) # self.assertDeepEqual(envjoy.env['FOO', dict], {}) environ['FOO'] = '(["foo","bar"],"baz",[1,2,3])' self.assertDeepEqual(envjoy.env['FOO'], (['foo', 'bar'], 'baz', [1, 2, 3])) self.assertDeepEqual(envjoy.env['FOO', bool], True) self.assertDeepEqual(envjoy.env['FOO', int], 123) self.assertDeepEqual(envjoy.env['FOO', float], 123.0) self.assertDeepEqual(envjoy.env['FOO', str], '(["foo","bar"],"baz",[1,2,3])') self.assertDeepEqual(envjoy.env['FOO', tuple], (('foo', 'bar'), 'baz', (1, 2, 3))) self.assertDeepEqual(envjoy.env['FOO', list], [['foo', 'bar'], 'baz', [1, 2, 3]]) self.assertDeepEqual(envjoy.env['FOO', dict], {}) # environ['FOO'] = '(foo, bar, baz, 1, 2, 3)' # self.assertDeepEqual(envjoy.env['FOO'], ('foo', 'bar', 'baz', 1, 2, 3)) # self.assertDeepEqual(envjoy.env['FOO', bool], True) # self.assertDeepEqual(envjoy.env['FOO', int], 123) # self.assertDeepEqual(envjoy.env['FOO', float], 123.0) # self.assertDeepEqual(envjoy.env['FOO', str], '(foo, bar, baz, 1, 2, 3)') # self.assertDeepEqual(envjoy.env['FOO', tuple], ('foo', 'bar', 'baz', 1, 2, 3)) # self.assertDeepEqual(envjoy.env['FOO', list], ['foo', 'bar', 'baz', 1, 2, 3]) # self.assertDeepEqual(envjoy.env['FOO', dict], {}) environ['FOO'] = '("foo", "bar", "baz", 1, 2, 3)' self.assertDeepEqual(envjoy.env['FOO'], ('foo', 'bar', 'baz', 1, 2, 3)) self.assertDeepEqual(envjoy.env['FOO', bool], True) self.assertDeepEqual(envjoy.env['FOO', int], 123) self.assertDeepEqual(envjoy.env['FOO', float], 123.0) self.assertDeepEqual(envjoy.env['FOO', str], '("foo", "bar", "baz", 1, 2, 3)') self.assertDeepEqual(envjoy.env['FOO', tuple], ('foo', 'bar', 'baz', 1, 2, 3)) self.assertDeepEqual(envjoy.env['FOO', list], ['foo', 'bar', 'baz', 1, 2, 3]) self.assertDeepEqual(envjoy.env['FOO', dict], {}) # environ['FOO'] = '((foo, bar), baz, (1, (2, 3)))' # self.assertDeepEqual(envjoy.env['FOO'], (('foo', 'bar'), 'baz', (1, (2, 3)))) # self.assertDeepEqual(envjoy.env['FOO', bool], True) # self.assertDeepEqual(envjoy.env['FOO', int], 123) # self.assertDeepEqual(envjoy.env['FOO', float], 123.0) # self.assertDeepEqual(envjoy.env['FOO', str], '((foo, bar), baz, (1, (2, 3)))') # self.assertDeepEqual(envjoy.env['FOO', tuple], (('foo', 'bar'), 'baz', (1, (2, 3)))) # self.assertDeepEqual(envjoy.env['FOO', list], [['foo', 'bar'], 'baz', [1, [2, 3]]) # self.assertDeepEqual(envjoy.env['FOO', dict], {}) environ['FOO'] = '(("foo", "bar"), "baz", (1, (2, 3)))' self.assertDeepEqual(envjoy.env['FOO'], (('foo', 'bar'), 'baz', (1, (2, 3)))) self.assertDeepEqual(envjoy.env['FOO', bool], True) self.assertDeepEqual(envjoy.env['FOO', int], 123) self.assertDeepEqual(envjoy.env['FOO', float], 123.0) self.assertDeepEqual(envjoy.env['FOO', str], '(("foo", "bar"), "baz", (1, (2, 3)))') self.assertDeepEqual(envjoy.env['FOO', tuple], (('foo', 'bar'), 'baz', (1, (2, 3)))) self.assertDeepEqual(envjoy.env['FOO', list], [['foo', 'bar'], 'baz', [1, [2, 3]]]) self.assertDeepEqual(envjoy.env['FOO', dict], {}) # environ['FOO'] = '([foo, bar], baz, [1, [2, 3]])' # self.assertDeepEqual(envjoy.env['FOO'], (['foo', 'bar'], 'baz', [1, [2, 3]])) # self.assertDeepEqual(envjoy.env['FOO', bool], True) # self.assertDeepEqual(envjoy.env['FOO', int], 123) # self.assertDeepEqual(envjoy.env['FOO', float], 123.0) # self.assertDeepEqual(envjoy.env['FOO', str], '([foo, bar], baz, [1, [2, 3]])') # self.assertDeepEqual(envjoy.env['FOO', tuple], (('foo', 'bar'), 'baz', (1, (2, 3)))) # self.assertDeepEqual(envjoy.env['FOO', list], [['foo', 'bar'], 'baz', [1, [2, 3]]]) # self.assertDeepEqual(envjoy.env['FOO', dict], {}) environ['FOO'] = '(["foo", "bar"], "baz", [1, [2, 3]])' self.assertDeepEqual(envjoy.env['FOO'], (['foo', 'bar'], 'baz', [1, [2, 3]])) self.assertDeepEqual(envjoy.env['FOO', bool], True) self.assertDeepEqual(envjoy.env['FOO', int], 123) self.assertDeepEqual(envjoy.env['FOO', float], 123.0) self.assertDeepEqual(envjoy.env['FOO', str], '(["foo", "bar"], "baz", [1, [2, 3]])') self.assertDeepEqual(envjoy.env['FOO', tuple], (('foo', 'bar'), 'baz', (1, (2, 3)))) self.assertDeepEqual(envjoy.env['FOO', list], [['foo', 'bar'], 'baz', [1, [2, 3]]]) self.assertDeepEqual(envjoy.env['FOO', dict], {}) # environ['FOO'] = '[foo,bar,baz,1,2,3]' # self.assertDeepEqual(envjoy.env['FOO'], ['foo', 'bar', 'baz', 1, 2, 3]) # self.assertDeepEqual(envjoy.env['FOO', bool], True) # self.assertDeepEqual(envjoy.env['FOO', int], 123) # self.assertDeepEqual(envjoy.env['FOO', float], 123.0) # self.assertDeepEqual(envjoy.env['FOO', str], '[foo,bar,baz,1,2,3]') # self.assertDeepEqual(envjoy.env['FOO', tuple], ('foo', 'bar', 'baz', 1, 2, 3)) # self.assertDeepEqual(envjoy.env['FOO', list], ['foo', 'bar', 'baz', 1, 2, 3]) # self.assertDeepEqual(envjoy.env['FOO', dict], {}) environ['FOO'] = '["foo","bar","baz",1,2,3]' self.assertDeepEqual(envjoy.env['FOO'], ['foo', 'bar', 'baz', 1, 2, 3]) self.assertDeepEqual(envjoy.env['FOO', bool], True) self.assertDeepEqual(envjoy.env['FOO', int], 123) self.assertDeepEqual(envjoy.env['FOO', float], 123.0) self.assertDeepEqual(envjoy.env['FOO', str], '["foo","bar","baz",1,2,3]') self.assertDeepEqual(envjoy.env['FOO', tuple], ('foo', 'bar', 'baz', 1, 2, 3)) self.assertDeepEqual(envjoy.env['FOO', list], ['foo', 'bar', 'baz', 1, 2, 3]) self.assertDeepEqual(envjoy.env['FOO', dict], {}) # environ['FOO'] = '[(foo,bar),baz,(1,(2,3))]' # self.assertDeepEqual(envjoy.env['FOO'], [('foo', 'bar'), 'baz', (1, (2, 3))]) # self.assertDeepEqual(envjoy.env['FOO', bool], True) # self.assertDeepEqual(envjoy.env['FOO', int], 123) # self.assertDeepEqual(envjoy.env['FOO', float], 123.0) # self.assertDeepEqual(envjoy.env['FOO', str], '[(foo,bar),baz,(1,(2,3))]') # self.assertDeepEqual(envjoy.env['FOO', tuple], (('foo', 'bar'), 'baz', (1, (2, 3)))) # self.assertDeepEqual(envjoy.env['FOO', list], [('foo', 'bar'), 'baz', (1, (2, 3))]) # self.assertDeepEqual(envjoy.env['FOO', dict], {}) environ['FOO'] = '[("foo","bar"),"baz",(1,(2,3))]' self.assertDeepEqual(envjoy.env['FOO'], [('foo', 'bar'), 'baz', (1, (2, 3))]) self.assertDeepEqual(envjoy.env['FOO', bool], True) self.assertDeepEqual(envjoy.env['FOO', int], 123) self.assertDeepEqual(envjoy.env['FOO', float], 123.0) self.assertDeepEqual(envjoy.env['FOO', str], '[("foo","bar"),"baz",(1,(2,3))]') self.assertDeepEqual(envjoy.env['FOO', tuple], (('foo', 'bar'), 'baz', (1, (2, 3)))) self.assertDeepEqual(envjoy.env['FOO', list], [['foo', 'bar'], 'baz', [1, [2, 3]]]) self.assertDeepEqual(envjoy.env['FOO', dict], {}) # environ['FOO'] = '[[foo,bar],baz,[1,[2,3]]' # self.assertDeepEqual(envjoy.env['FOO'], [['foo', 'bar'], 'baz', [1, [2, 3]]]) # self.assertDeepEqual(envjoy.env['FOO', bool], True) # self.assertDeepEqual(envjoy.env['FOO', int], 123) # self.assertDeepEqual(envjoy.env['FOO', float], 123.0) # self.assertDeepEqual(envjoy.env['FOO', str], '[[foo,bar],baz,[1,[2,3]]]') # self.assertDeepEqual(envjoy.env['FOO', tuple], (('foo', 'bar'), 'baz', (1, (2, 3)))) # self.assertDeepEqual(envjoy.env['FOO', list], [['foo', 'bar'], 'baz', [1, [2, 3]]]) # self.assertDeepEqual(envjoy.env['FOO', dict], {}) environ['FOO'] = '[["foo","bar"],"baz",[1,[2,3]]]' self.assertDeepEqual(envjoy.env['FOO'], [['foo', 'bar'], 'baz', [1, [2, 3]]]) self.assertDeepEqual(envjoy.env['FOO', bool], True) self.assertDeepEqual(envjoy.env['FOO', int], 123) self.assertDeepEqual(envjoy.env['FOO', float], 123.0) self.assertDeepEqual(envjoy.env['FOO', str], '[["foo","bar"],"baz",[1,[2,3]]]') self.assertDeepEqual(envjoy.env['FOO', tuple], (('foo', 'bar'), 'baz', (1, (2, 3)))) self.assertDeepEqual(envjoy.env['FOO', list], [['foo', 'bar'], 'baz', [1, [2, 3]]]) self.assertDeepEqual(envjoy.env['FOO', dict], {}) # environ['FOO'] = '[foo, bar, baz, 1, 2, 3]' # self.assertDeepEqual(envjoy.env['FOO'], ['foo', 'bar', 'baz', 1, 2, 3]) # self.assertDeepEqual(envjoy.env['FOO', bool], True) # self.assertDeepEqual(envjoy.env['FOO', int], 123) # self.assertDeepEqual(envjoy.env['FOO', float], 123.0) # self.assertDeepEqual(envjoy.env['FOO', str], '[foo, bar, baz, 1, 2, 3]') # self.assertDeepEqual(envjoy.env['FOO', tuple], ('foo', 'bar', 'baz', 1, 2, 3)) # self.assertDeepEqual(envjoy.env['FOO', list], ['foo', 'bar', 'baz', 1, 2, 3]) # self.assertDeepEqual(envjoy.env['FOO', dict], {}) environ['FOO'] = '["foo", "bar", "baz", 1, 2, 3]' self.assertDeepEqual(envjoy.env['FOO'], ['foo', 'bar', 'baz', 1, 2, 3]) self.assertDeepEqual(envjoy.env['FOO', bool], True) self.assertDeepEqual(envjoy.env['FOO', int], 123) self.assertDeepEqual(envjoy.env['FOO', float], 123.0) self.assertDeepEqual(envjoy.env['FOO', str], '["foo", "bar", "baz", 1, 2, 3]') self.assertDeepEqual(envjoy.env['FOO', tuple], ('foo', 'bar', 'baz', 1, 2, 3)) self.assertDeepEqual(envjoy.env['FOO', list], ['foo', 'bar', 'baz', 1, 2, 3]) self.assertDeepEqual(envjoy.env['FOO', dict], {}) # environ['FOO'] = '[(foo, bar), baz, (1, (2, 3))]' # self.assertDeepEqual(envjoy.env['FOO'], [('foo', 'bar'), 'baz', (1, (2, 3))]) # self.assertDeepEqual(envjoy.env['FOO', bool], True) # self.assertDeepEqual(envjoy.env['FOO', int], 123) # self.assertDeepEqual(envjoy.env['FOO', float], 123.0) # self.assertDeepEqual(envjoy.env['FOO', str], '[(foo, bar), baz, (1, (2, 3))]') # self.assertDeepEqual(envjoy.env['FOO', tuple], (('foo', 'bar'), 'baz', (1, (2, 3)))) # self.assertDeepEqual(envjoy.env['FOO', list], [['foo', 'bar'], 'baz', [1, [2, 3]]]) # self.assertDeepEqual(envjoy.env['FOO', dict], {}) environ['FOO'] = '[("foo", "bar"), "baz", (1, (2, 3))]' self.assertDeepEqual(envjoy.env['FOO'], [('foo', 'bar'), 'baz', (1, (2, 3))]) self.assertDeepEqual(envjoy.env['FOO', bool], True) self.assertDeepEqual(envjoy.env['FOO', int], 123) self.assertDeepEqual(envjoy.env['FOO', float], 123.0) self.assertDeepEqual(envjoy.env['FOO', str], '[("foo", "bar"), "baz", (1, (2, 3))]') self.assertDeepEqual(envjoy.env['FOO', tuple], (('foo', 'bar'), 'baz', (1, (2, 3)))) self.assertDeepEqual(envjoy.env['FOO', list], [['foo', 'bar'], 'baz', [1, [2, 3]]]) self.assertDeepEqual(envjoy.env['FOO', dict], {}) # environ['FOO'] = '[[foo, bar], baz, [1, [2, 3]]]' # self.assertDeepEqual(envjoy.env['FOO'], [['foo', 'bar'], 'baz', [1, [2, 3]]]) # self.assertDeepEqual(envjoy.env['FOO', bool], True) # self.assertDeepEqual(envjoy.env['FOO', int], 123) # self.assertDeepEqual(envjoy.env['FOO', float], 123.0) # self.assertDeepEqual(envjoy.env['FOO', str], '[[foo, bar], baz, [1, [2, 3]]]') # self.assertDeepEqual(envjoy.env['FOO', tuple], (('foo', 'bar'), 'baz', (1, (2, 3)))) # self.assertDeepEqual(envjoy.env['FOO', list], [['foo', 'bar'], 'baz', [1, [2, 3]]]) # self.assertDeepEqual(envjoy.env['FOO', dict], {}) environ['FOO'] = '[["foo", "bar"], "baz", [1, [2, 3]]]' self.assertDeepEqual(envjoy.env['FOO'], [['foo', 'bar'], 'baz', [1, [2, 3]]]) self.assertDeepEqual(envjoy.env['FOO', bool], True) self.assertDeepEqual(envjoy.env['FOO', int], 123) self.assertDeepEqual(envjoy.env['FOO', float], 123.0) self.assertDeepEqual(envjoy.env['FOO', str], '[["foo", "bar"], "baz", [1, [2, 3]]]') self.assertDeepEqual(envjoy.env['FOO', tuple], (('foo', 'bar'), 'baz', (1, (2, 3)))) self.assertDeepEqual(envjoy.env['FOO', list], [['foo', 'bar'], 'baz', [1, [2, 3]]]) self.assertDeepEqual(envjoy.env['FOO', dict], {}) # environ['FOO'] = '((foo, 1), (bar, 2))' # self.assertDeepEqual(envjoy.env['FOO'], (('foo', 1), ('bar', 2))) # self.assertDeepEqual(envjoy.env['FOO', bool], True) # self.assertDeepEqual(envjoy.env['FOO', int], 12) # self.assertDeepEqual(envjoy.env['FOO', float], 12.0) # self.assertDeepEqual(envjoy.env['FOO', str], '((foo, 1), (bar, 2))') # self.assertDeepEqual(envjoy.env['FOO', tuple], (('foo', 1), ('bar', 2))) # self.assertDeepEqual(envjoy.env['FOO', list], [['foo', 1], ['bar', 2]]) # self.assertDeepEqual(envjoy.env['FOO', dict], {'foo': 1, 'bar': 2}) environ['FOO'] = '(("foo", 1), ("bar", 2))' self.assertDeepEqual(envjoy.env['FOO'], (('foo', 1), ('bar', 2))) self.assertDeepEqual(envjoy.env['FOO', bool], True) self.assertDeepEqual(envjoy.env['FOO', int], 12) self.assertDeepEqual(envjoy.env['FOO', float], 12.0) self.assertDeepEqual(envjoy.env['FOO', str], '(("foo", 1), ("bar", 2))') self.assertDeepEqual(envjoy.env['FOO', tuple], (('foo', 1), ('bar', 2))) self.assertDeepEqual(envjoy.env['FOO', list], [['foo', 1], ['bar', 2]]) self.assertDeepEqual(envjoy.env['FOO', dict], {'foo': 1, 'bar': 2}) # environ['FOO'] = '[(foo, 1), (bar, 2)]' # self.assertDeepEqual(envjoy.env['FOO'], [('foo', 1), ('bar', 2)]) # self.assertDeepEqual(envjoy.env['FOO', bool], True) # self.assertDeepEqual(envjoy.env['FOO', int], 12) # self.assertDeepEqual(envjoy.env['FOO', float], 12.0) # self.assertDeepEqual(envjoy.env['FOO', str], '[(foo, 1), (bar, 2)]') # self.assertDeepEqual(envjoy.env['FOO', tuple], (('foo', 1), ('bar', 2))) # self.assertDeepEqual(envjoy.env['FOO', list], [['foo', 1], ['bar', 2]]) # self.assertDeepEqual(envjoy.env['FOO', dict], {'foo': 1, 'bar': 2}) environ['FOO'] = '[("foo", 1), ("bar", 2)]' self.assertDeepEqual(envjoy.env['FOO'], [('foo', 1), ('bar', 2)]) self.assertDeepEqual(envjoy.env['FOO', bool], True) self.assertDeepEqual(envjoy.env['FOO', int], 12) self.assertDeepEqual(envjoy.env['FOO', float], 12.0) self.assertDeepEqual(envjoy.env['FOO', str], '[("foo", 1), ("bar", 2)]') self.assertDeepEqual(envjoy.env['FOO', tuple], (('foo', 1), ('bar', 2))) self.assertDeepEqual(envjoy.env['FOO', list], [['foo', 1], ['bar', 2]]) self.assertDeepEqual(envjoy.env['FOO', dict], {'foo': 1, 'bar': 2}) # environ['FOO'] = '([foo, 1], [bar, 2])' # self.assertDeepEqual(envjoy.env['FOO'], (['foo', 1], ['bar', 2])) # self.assertDeepEqual(envjoy.env['FOO', bool], True) # self.assertDeepEqual(envjoy.env['FOO', int], 12) # self.assertDeepEqual(envjoy.env['FOO', float], 12.0) # self.assertDeepEqual(envjoy.env['FOO', str], '([foo, 1], [bar, 2])') # self.assertDeepEqual(envjoy.env['FOO', tuple], (('foo', 1), ('bar', 2))) # self.assertDeepEqual(envjoy.env['FOO', list], [['foo', 1], ['bar', 2]]) # self.assertDeepEqual(envjoy.env['FOO', dict], {'foo': 1, 'bar': 2}) environ['FOO'] = '(["foo", 1], ["bar", 2])' self.assertDeepEqual(envjoy.env['FOO'], (['foo', 1], ['bar', 2])) self.assertDeepEqual(envjoy.env['FOO', bool], True) self.assertDeepEqual(envjoy.env['FOO', int], 12) self.assertDeepEqual(envjoy.env['FOO', float], 12.0) self.assertDeepEqual(envjoy.env['FOO', str], '(["foo", 1], ["bar", 2])') self.assertDeepEqual(envjoy.env['FOO', tuple], (('foo', 1), ('bar', 2))) self.assertDeepEqual(envjoy.env['FOO', list], [['foo', 1], ['bar', 2]]) self.assertDeepEqual(envjoy.env['FOO', dict], {'foo': 1, 'bar': 2}) environ['FOO'] = str(('foo', 'bar', 'baz', 1, 2, 3)) self.assertDeepEqual(envjoy.env['FOO'], ('foo', 'bar', 'baz', 1, 2, 3)) self.assertDeepEqual(envjoy.env['FOO', bool], True) self.assertDeepEqual(envjoy.env['FOO', int], 123) self.assertDeepEqual(envjoy.env['FOO', float], 123.0) self.assertDeepEqual(envjoy.env['FOO', str], "('foo', 'bar', 'baz', 1, 2, 3)") self.assertDeepEqual(envjoy.env['FOO', tuple], ('foo', 'bar', 'baz', 1, 2, 3)) self.assertDeepEqual(envjoy.env['FOO', list], ['foo', 'bar', 'baz', 1, 2, 3]) self.assertDeepEqual(envjoy.env['FOO', dict], {}) environ['FOO'] = str(['foo', 'bar', 'baz', 1, 2, 3]) self.assertDeepEqual(envjoy.env['FOO'], ['foo', 'bar', 'baz', 1, 2, 3]) self.assertDeepEqual(envjoy.env['FOO', bool], True) self.assertDeepEqual(envjoy.env['FOO', int], 123) self.assertDeepEqual(envjoy.env['FOO', float], 123.0) self.assertDeepEqual(envjoy.env['FOO', str], "['foo', 'bar', 'baz', 1, 2, 3]") self.assertDeepEqual(envjoy.env['FOO', tuple], ('foo', 'bar', 'baz', 1, 2, 3)) self.assertDeepEqual(envjoy.env['FOO', list], ['foo', 'bar', 'baz', 1, 2, 3]) self.assertDeepEqual(envjoy.env['FOO', dict], {}) environ['FOO'] = str({'foo': 1, 'bar': 2, 'baz': 3}) self.assertDeepEqual(envjoy.env['FOO'], {'foo': 1, 'bar': 2, 'baz': 3}) self.assertDeepEqual(envjoy.env['FOO', bool], True) # NOTE: no consistency within Python's major versions even >:'( try: self.assertDeepEqual(envjoy.env['FOO', int], 213) self.assertDeepEqual(envjoy.env['FOO', float], 213.0) self.assertDeepEqual(envjoy.env['FOO', str], "{'baz': 3, 'foo': 1, 'bar': 2}") except: self.assertDeepEqual(envjoy.env['FOO', int], 123) self.assertDeepEqual(envjoy.env['FOO', float], 123.0) self.assertDeepEqual(envjoy.env['FOO', str], "{'foo': 1, 'bar': 2, 'baz': 3}") self.assertDeepEqual(envjoy.env['FOO', tuple], ({'bar': 2, 'baz': 3, 'foo': 1},)) self.assertDeepEqual(envjoy.env['FOO', list], [{'bar': 2, 'baz': 3, 'foo': 1}]) self.assertDeepEqual(envjoy.env['FOO', dict], {'foo': 1, 'bar': 2, 'baz': 3}) def test___getattr__(self): self.assertTrue(hasattr(envjoy.env, '__getattr__')) self.assertTrue(callable(envjoy.env.__getattr__)) environ.clear() self.assertDeepEqual(envjoy.env.FOO, None) self.assertDeepEqual(envjoy.env.BAR, None) environ['FOO'] = '0' self.assertDeepEqual(envjoy.env.FOO, 0) environ['FOO'] = '1' self.assertDeepEqual(envjoy.env.FOO, 1) environ['FOO'] = '-1' self.assertDeepEqual(envjoy.env.FOO, -1) environ['FOO'] = '12.34' self.assertDeepEqual(envjoy.env.FOO, 12.34) environ['FOO'] = '-12.34' self.assertDeepEqual(envjoy.env.FOO, -12.34) environ['FOO'] = 'foo bar baz 1 2 3' self.assertDeepEqual(envjoy.env.FOO, 'foo bar baz 1 2 3') environ['FOO'] = 'foo,bar,baz,1,2,3' self.assertDeepEqual(envjoy.env.FOO, 'foo,bar,baz,1,2,3') environ['FOO'] = 'foo, bar, baz, 1, 2, 3' self.assertDeepEqual(envjoy.env.FOO, 'foo, bar, baz, 1, 2, 3') # environ['FOO'] = '(foo,bar,baz,1,2,3)' # self.assertDeepEqual(envjoy.env.FOO, ('foo', 'bar', 'baz', 1, 2, 3)) environ['FOO'] = '("foo","bar","baz",1,2,3)' self.assertDeepEqual(envjoy.env.FOO, ('foo', 'bar', 'baz', 1, 2, 3)) # environ['FOO'] = '((foo,bar),baz,(1,2,3))' # self.assertDeepEqual(envjoy.env.FOO, (('foo', 'bar'), 'baz', (1, 2, 3))) environ['FOO'] = '(("foo","bar"),"baz",(1,2,3))' self.assertDeepEqual(envjoy.env.FOO, (('foo', 'bar'), 'baz', (1, 2, 3))) # environ['FOO'] = '([foo,bar],baz,[1,2,3])' # self.assertDeepEqual(envjoy.env.FOO, (['foo', 'bar'], 'baz', [1, 2, 3])) environ['FOO'] = '(["foo","bar"],"baz",[1,2,3])' self.assertDeepEqual(envjoy.env.FOO, (['foo', 'bar'], 'baz', [1, 2, 3])) # environ['FOO'] = '(foo, bar, baz, 1, 2, 3)' # self.assertDeepEqual(envjoy.env.FOO, ('foo', 'bar', 'baz', 1, 2, 3)) environ['FOO'] = '("foo", "bar", "baz", 1, 2, 3)' self.assertDeepEqual(envjoy.env.FOO, ('foo', 'bar', 'baz', 1, 2, 3)) # environ['FOO'] = '((foo, bar), baz, (1, (2, 3)))' # self.assertDeepEqual(envjoy.env.FOO, (('foo', 'bar'), 'baz', (1, (2, 3)))) environ['FOO'] = '(("foo", "bar"), "baz", (1, (2, 3)))' self.assertDeepEqual(envjoy.env.FOO, (('foo', 'bar'), 'baz', (1, (2, 3)))) # environ['FOO'] = '([foo, bar], baz, [1, [2, 3]])' # self.assertDeepEqual(envjoy.env.FOO, (['foo', 'bar'], 'baz', [1, [2, 3]])) environ['FOO'] = '(["foo", "bar"], "baz", [1, [2, 3]])' self.assertDeepEqual(envjoy.env.FOO, (['foo', 'bar'], 'baz', [1, [2, 3]])) # environ['FOO'] = '[foo,bar,baz,1,2,3]' # self.assertDeepEqual(envjoy.env.FOO, ['foo', 'bar', 'baz', 1, 2, 3]) environ['FOO'] = '["foo","bar","baz",1,2,3]' self.assertDeepEqual(envjoy.env.FOO, ['foo', 'bar', 'baz', 1, 2, 3]) # environ['FOO'] = '[(foo,bar),baz,(1,(2,3))]' # self.assertDeepEqual(envjoy.env.FOO, [('foo', 'bar'), 'baz', (1, (2, 3))]) environ['FOO'] = '[("foo","bar"),"baz",(1,(2,3))]' self.assertDeepEqual(envjoy.env.FOO, [('foo', 'bar'), 'baz', (1, (2, 3))]) # environ['FOO'] = '[[foo,bar],baz,[1,[2,3]]' # self.assertDeepEqual(envjoy.env.FOO, [['foo', 'bar'], 'baz', [1, [2, 3]]]) environ['FOO'] = '[["foo","bar"],"baz",[1,[2,3]]]' self.assertDeepEqual(envjoy.env.FOO, [['foo', 'bar'], 'baz', [1, [2, 3]]]) # environ['FOO'] = '[foo, bar, baz, 1, 2, 3]' # self.assertDeepEqual(envjoy.env.FOO, ['foo', 'bar', 'baz', 1, 2, 3]) environ['FOO'] = '["foo", "bar", "baz", 1, 2, 3]' self.assertDeepEqual(envjoy.env.FOO, ['foo', 'bar', 'baz', 1, 2, 3]) # environ['FOO'] = '[(foo, bar), baz, (1, (2, 3))]' # self.assertDeepEqual(envjoy.env.FOO, [('foo', 'bar'), 'baz', (1, (2, 3))]) environ['FOO'] = '[("foo", "bar"), "baz", (1, (2, 3))]' self.assertDeepEqual(envjoy.env.FOO, [('foo', 'bar'), 'baz', (1, (2, 3))]) # environ['FOO'] = '[[foo, bar], baz, [1, [2, 3]]]' # self.assertDeepEqual(envjoy.env.FOO, [['foo', 'bar'], 'baz', [1, [2, 3]]]) environ['FOO'] = '[["foo", "bar"], "baz", [1, [2, 3]]]' self.assertDeepEqual(envjoy.env.FOO, [['foo', 'bar'], 'baz', [1, [2, 3]]]) # environ['FOO'] = '((foo, 1), (bar, 2))' # self.assertDeepEqual(envjoy.env.FOO, (('foo', 1), ('bar', 2))) environ['FOO'] = '(("foo", 1), ("bar", 2))' self.assertDeepEqual(envjoy.env.FOO, (('foo', 1), ('bar', 2))) # environ['FOO'] = '[(foo, 1), (bar, 2)]' # self.assertDeepEqual(envjoy.env.FOO, [('foo', 1), ('bar', 2)]) environ['FOO'] = '[("foo", 1), ("bar", 2)]' self.assertDeepEqual(envjoy.env.FOO, [('foo', 1), ('bar', 2)]) # environ['FOO'] = '([foo, 1], [bar, 2])' # self.assertDeepEqual(envjoy.env.FOO, (['foo', 1], ['bar', 2])) environ['FOO'] = '(["foo", 1], ["bar", 2])' self.assertDeepEqual(envjoy.env.FOO, (['foo', 1], ['bar', 2])) environ['FOO'] = str(('foo', 'bar', 'baz', 1, 2, 3)) self.assertDeepEqual(envjoy.env.FOO, ('foo', 'bar', 'baz', 1, 2, 3)) environ['FOO'] = str(['foo', 'bar', 'baz', 1, 2, 3]) self.assertDeepEqual(envjoy.env.FOO, ['foo', 'bar', 'baz', 1, 2, 3]) environ['FOO'] = str({'foo': 1, 'bar': 2, 'baz': 3}) self.assertDeepEqual(envjoy.env.FOO, {'foo': 1, 'bar': 2, 'baz': 3}) def test___setitem__(self): self.assertTrue(hasattr(envjoy.env, '__setitem__')) self.assertTrue(callable(envjoy.env.__setitem__)) environ.clear() environ['FOO'] = '1' environ['bar'] = '2' self.assertDeepEqual(list(environ.items()), [('FOO', '1'), ('bar', '2')]) envjoy.env['BAZ'] = 3 self.assertDeepEqual(list(environ.items()), [('FOO', '1'), ('bar', '2'), ('BAZ', '3')]) envjoy.env['FOO'] = None self.assertDeepEqual(list(environ.items()), [('FOO', ''), ('bar', '2'), ('BAZ', '3')]) envjoy.env['FOO'] = True self.assertDeepEqual(list(environ.items()), [('FOO', 'True'), ('bar', '2'), ('BAZ', '3')]) envjoy.env['FOO'] = 'true' self.assertDeepEqual(list(environ.items()), [('FOO', 'true'), ('bar', '2'), ('BAZ', '3')]) envjoy.env['FOO'] = 0 self.assertDeepEqual(list(environ.items()), [('FOO', '0'), ('bar', '2'), ('BAZ', '3')]) envjoy.env['FOO'] = '0' self.assertDeepEqual(list(environ.items()), [('FOO', '0'), ('bar', '2'), ('BAZ', '3')]) envjoy.env['FOO'] = 0.01 self.assertDeepEqual(list(environ.items()), [('FOO', '0.01'), ('bar', '2'), ('BAZ', '3')]) envjoy.env['FOO'] = '0.01' self.assertDeepEqual(list(environ.items()), [('FOO', '0.01'), ('bar', '2'), ('BAZ', '3')]) envjoy.env['FOO'] = 'foo bar baz 1 2 3' self.assertDeepEqual(list(environ.items()), [('FOO', 'foo bar baz 1 2 3'), ('bar', '2'), ('BAZ', '3')]) envjoy.env['FOO'] = 'foo,bar,baz,1,2,3' self.assertDeepEqual(list(environ.items()), [('FOO', 'foo,bar,baz,1,2,3'), ('bar', '2'), ('BAZ', '3')]) envjoy.env['FOO'] = '(foo,bar,baz,1,2,3)' self.assertDeepEqual(list(environ.items()), [('FOO', '(foo,bar,baz,1,2,3)'), ('bar', '2'), ('BAZ', '3')]) envjoy.env['FOO'] = '[foo,bar,baz,1,2,3]' self.assertDeepEqual(list(environ.items()), [('FOO', '[foo,bar,baz,1,2,3]'), ('bar', '2'), ('BAZ', '3')]) envjoy.env['FOO'] = ('foo', 'bar', 'baz', 1, 2, 3) self.assertDeepEqual(list(environ.items()), [('FOO', "('foo', 'bar', 'baz', 1, 2, 3)"), ('bar', '2'), ('BAZ', '3')]) envjoy.env['FOO'] = ['foo', 'bar', 'baz', 1, 2, 3] self.assertDeepEqual(list(environ.items()), [('FOO', "['foo', 'bar', 'baz', 1, 2, 3]"), ('bar', '2'), ('BAZ', '3')]) envjoy.env['FOO'] = {'foo': 1, 'bar': 2, 'baz': 3} # NOTE: no consistency within Python's major versions even >:'( try: self.assertDeepEqual(list(environ.items()), [('BAZ', '3'), ('FOO', "{'bar': 2, 'foo': 1, 'baz': 3}"), ('bar', '2')]) except: self.assertDeepEqual(list(environ.items()), [('FOO', "{'foo': 1, 'bar': 2, 'baz': 3}"), ('bar', '2'), ('BAZ', '3')]) envjoy.env['FOO'] = {'foo': {'bar': {'baz': True}}} self.assertDeepEqual(list(environ.items()), [('FOO', "{'foo': {'bar': {'baz': True}}}"), ('bar', '2'), ('BAZ', '3')]) envjoy.env['FOO'] = OrderedDict({'foo': 1, 'bar': 2, 'baz': 3}) # NOTE: no consistency within Python's major versions even >:'( try: self.assertDeepEqual(list(environ.items()), [('BAZ', '3'), ('FOO', "{'baz': 3, 'foo': 1, 'bar': 2}"), ('bar', '2')]) except: self.assertDeepEqual(list(environ.items()), [('FOO', "{'foo': 1, 'bar': 2, 'baz': 3}"), ('bar', '2'), ('BAZ', '3')]) def test___setattr__(self): self.assertTrue(hasattr(envjoy.env, '__setattr__')) self.assertTrue(callable(envjoy.env.__setattr__)) environ.clear() environ['FOO'] = '1' environ['bar'] = '2' self.assertDeepEqual(list(environ.items()), [('FOO', '1'), ('bar', '2')]) envjoy.env.BAZ = 3 self.assertDeepEqual(list(environ.items()), [('FOO', '1'), ('bar', '2'), ('BAZ', '3')]) envjoy.env.FOO = None self.assertDeepEqual(list(environ.items()), [('FOO', ''), ('bar', '2'), ('BAZ', '3')]) envjoy.env.FOO = True self.assertDeepEqual(list(environ.items()), [('FOO', 'True'), ('bar', '2'), ('BAZ', '3')]) envjoy.env.FOO = 'true' self.assertDeepEqual(list(environ.items()), [('FOO', 'true'), ('bar', '2'), ('BAZ', '3')]) envjoy.env.FOO = 0 self.assertDeepEqual(list(environ.items()), [('FOO', '0'), ('bar', '2'), ('BAZ', '3')]) envjoy.env.FOO = '0' self.assertDeepEqual(list(environ.items()), [('FOO', '0'), ('bar', '2'), ('BAZ', '3')]) envjoy.env.FOO = 0.01 self.assertDeepEqual(list(environ.items()), [('FOO', '0.01'), ('bar', '2'), ('BAZ', '3')]) envjoy.env.FOO = '0.01' self.assertDeepEqual(list(environ.items()), [('FOO', '0.01'), ('bar', '2'), ('BAZ', '3')]) envjoy.env.FOO = 'foo bar baz 1 2 3' self.assertDeepEqual(list(environ.items()), [('FOO', 'foo bar baz 1 2 3'), ('bar', '2'), ('BAZ', '3')]) envjoy.env.FOO = 'foo,bar,baz,1,2,3' self.assertDeepEqual(list(environ.items()), [('FOO', 'foo,bar,baz,1,2,3'), ('bar', '2'), ('BAZ', '3')]) envjoy.env.FOO = '(foo,bar,baz,1,2,3)' self.assertDeepEqual(list(environ.items()), [('FOO', '(foo,bar,baz,1,2,3)'), ('bar', '2'), ('BAZ', '3')]) envjoy.env.FOO = '[foo,bar,baz,1,2,3]' self.assertDeepEqual(list(environ.items()), [('FOO', '[foo,bar,baz,1,2,3]'), ('bar', '2'), ('BAZ', '3')]) envjoy.env.FOO = ('foo', 'bar', 'baz', 1, 2, 3) self.assertDeepEqual(list(environ.items()), [('FOO', "('foo', 'bar', 'baz', 1, 2, 3)"), ('bar', '2'), ('BAZ', '3')]) envjoy.env.FOO = ['foo', 'bar', 'baz', 1, 2, 3] self.assertDeepEqual(list(environ.items()), [('FOO', "['foo', 'bar', 'baz', 1, 2, 3]"), ('bar', '2'), ('BAZ', '3')]) envjoy.env.FOO = {'foo': 1, 'bar': 2, 'baz': 3} # NOTE: no consistency within Python's major versions even >:'( try: self.assertDeepEqual(list(environ.items()), [('BAZ', '3'), ('FOO', "{'bar': 2, 'foo': 1, 'baz': 3}"), ('bar', '2')]) except: self.assertDeepEqual(list(environ.items()), [('FOO', "{'foo': 1, 'bar': 2, 'baz': 3}"), ('bar', '2'), ('BAZ', '3')]) envjoy.env.FOO = {'foo': {'bar': {'baz': True}}} self.assertDeepEqual(list(environ.items()), [('FOO', "{'foo': {'bar': {'baz': True}}}"), ('bar', '2'), ('BAZ', '3')]) envjoy.env.FOO = OrderedDict({'foo': 1, 'bar': 2, 'baz': 3}) # NOTE: no consistency within Python's major versions even >:'( try: self.assertDeepEqual(list(environ.items()), [('BAZ', '3'), ('FOO', "{'baz': 3, 'foo': 1, 'bar': 2}"), ('bar', '2')]) except: self.assertDeepEqual(list(environ.items()), [('FOO', "{'foo': 1, 'bar': 2, 'baz': 3}"), ('bar', '2'), ('BAZ', '3')]) def test___delitem__(self): self.assertTrue(hasattr(envjoy.env, '__delitem__')) self.assertTrue(callable(envjoy.env.__delitem__)) environ.clear() environ['FOO'] = '1' environ['bar'] = '2' self.assertDeepEqual(list(environ.keys()), ['FOO', 'bar']) del envjoy.env['BAZ'] self.assertDeepEqual(list(environ.keys()), ['FOO', 'bar']) del envjoy.env['FOO'] self.assertDeepEqual(list(environ.keys()), ['bar']) del envjoy.env['BAR'] self.assertDeepEqual(list(environ.keys()), ['bar']) del envjoy.env['bar'] self.assertDeepEqual(list(environ.keys()), []) def test___delattr__(self): self.assertTrue(hasattr(envjoy.env, '__delattr__')) self.assertTrue(callable(envjoy.env.__delattr__)) environ.clear() environ['FOO'] = '1' environ['bar'] = '2' self.assertDeepEqual(list(environ.keys()), ['FOO', 'bar']) del envjoy.env.BAZ self.assertDeepEqual(list(environ.keys()), ['FOO', 'bar']) del envjoy.env.FOO self.assertDeepEqual(list(environ.keys()), ['bar']) del envjoy.env.BAR self.assertDeepEqual(list(environ.keys()), ['bar']) del envjoy.env.bar self.assertDeepEqual(list(environ.keys()), []) def test___contains__(self): self.assertTrue(hasattr(envjoy.env, '__contains__')) self.assertTrue(callable(envjoy.env.__contains__)) environ.clear() self.assertDeepEqual(('XXX' in envjoy.env), False) self.assertDeepEqual(('BOOL' in envjoy.env), False) self.assertDeepEqual(('INT' in envjoy.env), False) self.assertDeepEqual(('FLOAT' in envjoy.env), False) self.assertDeepEqual(('TUPLE' in envjoy.env), False) self.assertDeepEqual(('LIST' in envjoy.env), False) self.assertDeepEqual(('DICT' in envjoy.env), False) environ['BOOL'] = str(True) environ['INT'] = str(1) environ['FLOAT'] = str(1.01) environ['TUPLE'] = str((1, 2, 3)) environ['LIST'] = str([1, 2, 3]) environ['DICT'] = str({'foo': [1, 2, 3]}) self.assertDeepEqual(('XXX' in envjoy.env), False) self.assertDeepEqual(('BOOL' in envjoy.env), True) self.assertDeepEqual(('INT' in envjoy.env), True) self.assertDeepEqual(('FLOAT' in envjoy.env), True) self.assertDeepEqual(('TUPLE' in envjoy.env), True) self.assertDeepEqual(('LIST' in envjoy.env), True) self.assertDeepEqual(('DICT' in envjoy.env), True) def test___len__(self): self.assertTrue(hasattr(envjoy.env, '__len__')) self.assertTrue(callable(envjoy.env.__len__)) self.assertIsInstance(len(envjoy.env), int) environ.clear() environ['BOOL'] = str(True) environ['INT'] = str(1) environ['FLOAT'] = str(1.01) environ['TUPLE'] = str((1, 2, 3)) environ['LIST'] = str([1, 2, 3]) environ['DICT'] = str({'foo': [1, 2, 3]}) self.assertDeepEqual(len(envjoy.env), 6) def test___iter__(self): self.assertTrue(hasattr(envjoy.env, '__iter__')) self.assertTrue(callable(envjoy.env.__iter__)) self.assertIsInstance(iter(envjoy.env), Iterable) environ.clear() environ['BOOL'] = str(True) environ['INT'] = str(1) environ['FLOAT'] = str(1.01) environ['TUPLE'] = str((1, 2, 3)) environ['LIST'] = str([1, 2, 3]) environ['DICT'] = str({'foo': [1, 2, 3]}) self.assertDeepEqual(list(iter(envjoy.env)), [ ('BOOL', True), ('INT', 1), ('FLOAT', 1.01), ('TUPLE', (1, 2, 3)), ('LIST', [1, 2, 3]), ('DICT', {'foo': [1, 2, 3]}), ]) def test___repr__(self): self.assertTrue(hasattr(envjoy.env, '__repr__')) self.assertTrue(callable(envjoy.env.__repr__)) self.assertIsInstance(repr(envjoy.env), str) environ.clear() environ['BOOL'] = str(True) environ['INT'] = str(1) environ['FLOAT'] = str(1.01) environ['TUPLE'] = str((1, 2, 3)) environ['LIST'] = str([1, 2, 3]) environ['DICT'] = str({'foo': [1, 2, 3]}) # NOTE: Python 2 vs Python 3 self.assertDeepEqual(eval(repr(envjoy.env)), eval("{'BOOL': True, 'INT': 1, 'FLOAT': 1.01, 'TUPLE': (1, 2, 3), 'LIST': [1, 2, " "3], 'DICT': {'foo': [1, 2, 3]}}")) def test___str__(self): self.assertTrue(hasattr(envjoy.env, '__str__')) self.assertTrue(callable(envjoy.env.__str__)) self.assertIsInstance(str(envjoy.env), str) environ.clear() environ['BOOL'] = str(True) environ['INT'] = str(1) environ['FLOAT'] = str(1.01) environ['TUPLE'] = str((1, 2, 3)) environ['LIST'] = str([1, 2, 3]) environ['DICT'] = str({'foo': [1, 2, 3]}) # NOTE: Python 2 vs Python 3 self.assertDeepEqual(eval(str(envjoy.env)), eval("{'BOOL': True, 'INT': 1, 'FLOAT': 1.01, 'TUPLE': (1, 2, 3), 'LIST': [1, 2, " "3], 'DICT': {'foo': [1, 2, 3]}}")) def test___bool__(self): self.assertTrue(hasattr(envjoy.env, '__bool__')) self.assertTrue(callable(envjoy.env.__bool__)) self.assertTrue(envjoy.env) # ========================================= # MAIN # -------------------------------------- if __name__ == '__main__': helper.run(TestCase)

45.477384

135

0.543469

10,579

83,451

4.268834

0.01106

0.17438

0.402458

0.450753

0.962666

0.944376

0.905248

0.896723

0.89349

0.892405

0

0.038315

0.205917

83,451

1,834

136

45.502181

0.643171

0.239614

0

0.634462

0

0.001992

0.14536

0.013465

0

0.63247

1

0.02988

false

0.000996

0.00996

0.000996

0.041833

0.00498

0

null

0

1

0

null

0

1

0

9

7218ecc146ac9f0a557ecb4c30b5df88ba46e549

119,063

py

Python

server/output.py

mahmoudalismail/Reporta

3e1c5e2a1219a4d5b76b62a9968faa2192882c83

[ "MIT" ]

5

2015-04-26T05:48:13.000Z

2022-03-21T22:36:08.000Z

server/output.py

mahmoudalismail/Reporta

3e1c5e2a1219a4d5b76b62a9968faa2192882c83

[ "MIT" ]

null

server/output.py

mahmoudalismail/Reporta

3e1c5e2a1219a4d5b76b62a9968faa2192882c83

[ "MIT" ]

null

{'type_of_material': u'News', 'headline': u'In Ferguson, Officer Defused Eruptions as Crowds Grew Tense', 'abstract': u'Jerry Lohr, white lieutenant of St Louis County Police, has done much on the ground to relieve tensions and volatility of Ferguson protesters, in wake of grand jury decision not to indict white police officer Darren Wilson for fatal shooting of unarmed black teenager Michael Brown; to many protesters, Lohr is evidence that police have improved community relations at divisive time.', 'multimedia': [{u'subtype': u'wide', u'url': u'images/2014/11/28/us/OFFICER/OFFICER-thumbWide.jpg', u'height': 126, u'width': 190, u'legacy': {u'wide': u'images/2014/11/28/us/OFFICER/OFFICER-thumbWide.jpg', u'wideheight': u'126', u'widewidth': u'190'}, u'type': u'image'}, {u'subtype': u'xlarge', u'url': u'images/2014/11/28/us/OFFICER/OFFICER-articleLarge.jpg', u'height': 400, u'width': 600, u'legacy': {u'xlargewidth': u'600', u'xlarge': u'images/2014/11/28/us/OFFICER/OFFICER-articleLarge.jpg', u'xlargeheight': u'400'}, u'type': u'image'}, {u'subtype': u'thumbnail', u'url': u'images/2014/11/28/us/OFFICER/OFFICER-thumbStandard.jpg', u'height': 75, u'width': 75, u'legacy': {u'thumbnailheight': u'75', u'thumbnail': u'images/2014/11/28/us/OFFICER/OFFICER-thumbStandard.jpg', u'thumbnailwidth': u'75'}, u'type': u'image'}], 'snippet': u'Few law enforcers have done more on the ground to ease tensions than Jerry Lohr, a white lieutenant of the St. Louis County Police who is not above giving hugs.', 'web_url': u'http://www.nytimes.com/2014/11/28/us/officer-defused-eruptions-as-crowds-grew-volatile.html', 'section_name': u'U.S.', 'keywords': [u'Lohr, Jerry (1973- )', u'Demonstrations, Protests and Riots', u'Police Brutality, Misconduct and Shootings', u'Ferguson (Mo)', u'Brown, Michael (1996-2014)'], 'pub_date': u'20141128'} {'type_of_material': u'News', 'headline': u'AIDS Group Wages Lonely Fight Against Pill to Prevent H.I.V.', 'abstract': u'The Upshot; Michael Weinstein, president of Los Angeles-based nonprofit AIDS Healthcare Foundation, speaks out against use of Truvada to prevent HIV with national ad campaign; warns widespread use of drug erodes condom use and leaves many open to infection; Weinstein also notes that research found many people were not consistently taking Truvada and therefore risking HIV infection.', 'multimedia': [{u'subtype': u'wide', u'url': u'images/2014/11/17/upshot/17UP-HIV-1/17UP-HIV-1-thumbWide.jpg', u'height': 126, u'width': 190, u'legacy': {u'wide': u'images/2014/11/17/upshot/17UP-HIV-1/17UP-HIV-1-thumbWide.jpg', u'wideheight': u'126', u'widewidth': u'190'}, u'type': u'image'}, {u'subtype': u'xlarge', u'url': u'images/2014/11/17/upshot/17UP-HIV-1/17UP-HIV-1-articleLarge.jpg', u'height': 402, u'width': 600, u'legacy': {u'xlargewidth': u'600', u'xlarge': u'images/2014/11/17/upshot/17UP-HIV-1/17UP-HIV-1-articleLarge.jpg', u'xlargeheight': u'402'}, u'type': u'image'}, {u'subtype': u'thumbnail', u'url': u'images/2014/11/17/upshot/17UP-HIV-1/17UP-HIV-1-thumbStandard.jpg', u'height': 75, u'width': 75, u'legacy': {u'thumbnailheight': u'75', u'thumbnail': u'images/2014/11/17/upshot/17UP-HIV-1/17UP-HIV-1-thumbStandard.jpg', u'thumbnailwidth': u'75'}, u'type': u'image'}], 'snippet': u'A growing consensus in favor of Truvada is opposed by one vocal man, Michael Weinstein, and his nonprofit organization.', 'web_url': u'http://www.nytimes.com/2014/11/17/upshot/aids-group-wages-lonely-fight-against-pill-to-prevent-hiv.html', 'section_name': u'The Upshot', 'keywords': [u'Truvada (Drug)', u'Acquired Immune Deficiency Syndrome', u'AIDS Healthcare Foundation', u'Weinstein, Michael Arthur (1952- )', u'Condoms', u'Advertising and Marketing', u'Drugs (Pharmaceuticals)'], 'pub_date': u'20141117'} {'type_of_material': u'Blog', 'headline': u'Q. and A.: Ann E. Carlson and Alex Wang on the U.S.-China Climate Accord', 'abstract': u'Alex Wang and Ann E. Carlson, law professors at the University of California, Los Angeles, who study environmental policy and regulations in the United States and China, responded to questions about the United States-China agreement on cutting greenhouse gases.', 'multimedia': [{u'subtype': u'wide', u'url': u'images/2014/11/28/world/28sino-WANG1/28sino-WANG1-thumbWide.jpg', u'height': 126, u'width': 190, u'legacy': {u'wide': u'images/2014/11/28/world/28sino-WANG1/28sino-WANG1-thumbWide.jpg', u'wideheight': u'126', u'widewidth': u'190'}, u'type': u'image'}, {u'subtype': u'xlarge', u'url': u'images/2014/11/28/world/28sino-WANG1/28sino-WANG1-articleLarge.jpg', u'height': 422, u'width': 600, u'legacy': {u'xlargewidth': u'600', u'xlarge': u'images/2014/11/28/world/28sino-WANG1/28sino-WANG1-articleLarge.jpg', u'xlargeheight': u'422'}, u'type': u'image'}, {u'subtype': u'thumbnail', u'url': u'images/2014/11/28/world/28sino-WANG1/28sino-WANG1-thumbStandard.jpg', u'height': 75, u'width': 75, u'legacy': {u'thumbnailheight': u'75', u'thumbnail': u'images/2014/11/28/world/28sino-WANG1/28sino-WANG1-thumbStandard.jpg', u'thumbnailwidth': u'75'}, u'type': u'image'}], 'snippet': u'Alex Wang and Ann E. Carlson, law professors at the University of California, Los Angeles, who study environmental policy and regulations in the United States and China, responded to questions about the United States-China agreement on cutting...', 'web_url': u'http://sinosphere.blogs.nytimes.com/2014/11/28/q-and-a-alex-wang-and-ann-e-carlson-on-the-u-s-china-climate-accord/', 'section_name': u'World', 'keywords': [u'Bush, George W', u'Carlson, Ann E', u'McConnell, Mitch', u'Obama, Barack', u'Wang, Alex (Law Professor)', u'Xi Jinping', u'China', u'India', u'United States', u'Environmental Protection Agency', u'Republican Party', u'Senate', u'Air Pollution', u'Carbon Dioxide', u'Global Warming', u'Greenhouse Gas Emissions'], 'pub_date': u'20141128'} {'type_of_material': u'News', 'headline': u'E.U. Parliament Passes Measure to Break Up Google in Symbolic Vote', 'abstract': u'European Parliament passes nonbinding vote to break up Google; symbolic resolution comes one day after a separate European body sought to expand online privacy rights across Continent, and signifies growing antipathy to American technological dominance in the European Union.', 'multimedia': [{u'subtype': u'wide', u'url': u'images/2014/11/28/business/28EUGOOGLE2/28EUGOOGLE2-thumbWide.jpg', u'height': 126, u'width': 190, u'legacy': {u'wide': u'images/2014/11/28/business/28EUGOOGLE2/28EUGOOGLE2-thumbWide.jpg', u'wideheight': u'126', u'widewidth': u'190'}, u'type': u'image'}, {u'subtype': u'xlarge', u'url': u'images/2014/11/28/business/28EUGOOGLE2/28EUGOOGLE2-articleLarge.jpg', u'height': 375, u'width': 600, u'legacy': {u'xlargewidth': u'600', u'xlarge': u'images/2014/11/28/business/28EUGOOGLE2/28EUGOOGLE2-articleLarge.jpg', u'xlargeheight': u'375'}, u'type': u'image'}, {u'subtype': u'thumbnail', u'url': u'images/2014/11/28/business/28EUGOOGLE2/28EUGOOGLE2-thumbStandard.jpg', u'height': 75, u'width': 75, u'legacy': {u'thumbnailheight': u'75', u'thumbnail': u'images/2014/11/28/business/28EUGOOGLE2/28EUGOOGLE2-thumbStandard.jpg', u'thumbnailwidth': u'75'}, u'type': u'image'}], 'snippet': u'While the vote poses no immediate threat to the company, it symbolizes the growing resentment in Europe toward the American technology titan.', 'web_url': u'http://www.nytimes.com/2014/11/28/business/international/google-european-union.html', 'section_name': u'Business Day', 'keywords': [u'Antitrust Laws and Competition Issues', u'European Parliament', u'Google Inc', u'Europe', u'Computers and the Internet', u'European Commission', u'Vestager, Margrethe', u'European Union', u'Privacy'], 'pub_date': u'20141128'} {'type_of_material': u'Op-Ed', 'headline': u'Judaism Must Embrace the Convert', 'abstract': u"Op-Ed article by Orthodox Rabbi Shmuly Yanklowitz argues that Judaism must work to reduce the formidable obstacles faced by those who wish to convert; examines his own difficult experience with conversion; contends process needs to become more transparent and pluralistic, in accordance with Judaism's inclusiveness.", 'multimedia': [{u'subtype': u'wide', u'url': u'images/2014/11/22/opinion/1124OPEDbeck/1124OPEDbeck-thumbWide.jpg', u'height': 126, u'width': 190, u'legacy': {u'wide': u'images/2014/11/22/opinion/1124OPEDbeck/1124OPEDbeck-thumbWide.jpg', u'wideheight': u'126', u'widewidth': u'190'}, u'type': u'image'}, {u'subtype': u'xlarge', u'url': u'images/2014/11/22/opinion/1124OPEDbeck/1124OPEDbeck-articleLarge.jpg', u'height': 728, u'width': 600, u'legacy': {u'xlargewidth': u'600', u'xlarge': u'images/2014/11/22/opinion/1124OPEDbeck/1124OPEDbeck-articleLarge.jpg', u'xlargeheight': u'728'}, u'type': u'image'}, {u'subtype': u'thumbnail', u'url': u'images/2014/11/22/opinion/1124OPEDbeck/1124OPEDbeck-thumbStandard.jpg', u'height': 75, u'width': 75, u'legacy': {u'thumbnailheight': u'75', u'thumbnail': u'images/2014/11/22/opinion/1124OPEDbeck/1124OPEDbeck-thumbStandard.jpg', u'thumbnailwidth': u'75'}, u'type': u'image'}], 'snippet': u'Our people believe in inclusiveness as well as chosenness.', 'web_url': u'http://www.nytimes.com/2014/11/24/opinion/judaism-must-embrace-the-convert.html', 'section_name': u'Opinion', 'keywords': [u'Jews and Judaism', u'Rabbis', u'Rabbinical Council of America'], 'pub_date': u'20141124'} {'type_of_material': u'News', 'headline': u'Israeli Cabinet Approves Nationality Bill ', 'abstract': u"Israeli cabinet approves draft nationality bill that emphasizes nation's Jewish character above its democratic nature; critics point out law could hurt fragile relationship with country's Arab minority at time of heightened tensions.", 'multimedia': [{u'subtype': u'wide', u'url': u'images/2014/11/24/world/24israel/24israel-thumbWide.jpg', u'height': 126, u'width': 190, u'legacy': {u'wide': u'images/2014/11/24/world/24israel/24israel-thumbWide.jpg', u'wideheight': u'126', u'widewidth': u'190'}, u'type': u'image'}, {u'subtype': u'xlarge', u'url': u'images/2014/11/24/world/24israel/24israel-articleLarge.jpg', u'height': 668, u'width': 600, u'legacy': {u'xlargewidth': u'600', u'xlarge': u'images/2014/11/24/world/24israel/24israel-articleLarge.jpg', u'xlargeheight': u'668'}, u'type': u'image'}, {u'subtype': u'thumbnail', u'url': u'images/2014/11/24/world/24israel/24israel-thumbStandard.jpg', u'height': 75, u'width': 75, u'legacy': {u'thumbnailheight': u'75', u'thumbnail': u'images/2014/11/24/world/24israel/24israel-thumbStandard.jpg', u'thumbnailwidth': u'75'}, u'type': u'image'}], 'snippet': u'The draft legislation emphasizes Israel\u2019s Jewish character above its democratic nature, proposing to define Israel as the nation-state of the Jewish people, a move opposed by Arab citizens.', 'web_url': u'http://www.nytimes.com/2014/11/24/world/middleeast/israeli-cabinet-backs-nationality-bill-that-risks-wider-rift-with-arab-minority.html', 'section_name': u'World', 'keywords': [u'Israel', u'Jews and Judaism', u'Law and Legislation', u'Arabs', u'Palestinians', u'Likud Party (Israel)', u'Netanyahu, Benjamin'], 'pub_date': u'20141124'} {'type_of_material': u'News', 'headline': u'With a New League, a Sport\u2019s Sleeping Giant Begins to Stir', 'abstract': u"Creation of Indian Super League has, at least temporarily, revived nation's interest soccer, sport long overshadowed by cricket\u2019s $3 billion Indian Premier League.", 'multimedia': [{u'subtype': u'wide', u'url': u'images/2014/11/28/sports/28indiasoccer1/28indiasoccer1-thumbWide-v2.jpg', u'height': 126, u'width': 190, u'legacy': {u'wide': u'images/2014/11/28/sports/28indiasoccer1/28indiasoccer1-thumbWide-v2.jpg', u'wideheight': u'126', u'widewidth': u'190'}, u'type': u'image'}, {u'subtype': u'xlarge', u'url': u'images/2014/11/28/sports/28indiasoccer1/28indiasoccer1-articleLarge.jpg', u'height': 431, u'width': 600, u'legacy': {u'xlargewidth': u'600', u'xlarge': u'images/2014/11/28/sports/28indiasoccer1/28indiasoccer1-articleLarge.jpg', u'xlargeheight': u'431'}, u'type': u'image'}, {u'subtype': u'thumbnail', u'url': u'images/2014/11/28/sports/28indiasoccer1/28indiasoccer1-thumbStandard-v2.jpg', u'height': 75, u'width': 75, u'legacy': {u'thumbnailheight': u'75', u'thumbnail': u'images/2014/11/28/sports/28indiasoccer1/28indiasoccer1-thumbStandard-v2.jpg', u'thumbnailwidth': u'75'}, u'type': u'image'}], 'snippet': u'The creation of a professional league in India, backed with huge investments and Bollywood glamour, has prompted a level of excitement more common to cricket.', 'web_url': u'http://www.nytimes.com/2014/11/28/sports/soccer/new-indian-soccer-league-tries-glamour-approach.html', 'section_name': u'Sports', 'keywords': [u'Soccer', u'India', u'Cricket (Game)', u'Indian Super League'], 'pub_date': u'20141128'} {'type_of_material': u'News', 'headline': u'For Former Embassy Hostages, a Special Interest in Iran Talks', 'abstract': u'Diplomatic Memo; seven-month extension of nuclear negotiations with Iran has been particularly upsetting to the 39 surviving Americans who endured 444 days of captivity in Tehran from 1979 to 1981; former hostages are particularly outraged that Iran will continue to receive $700 million a month in funds that were frozen under Western sanctions.', 'multimedia': [{u'subtype': u'wide', u'url': u'images/2014/11/26/world/POST/POST-thumbWide.jpg', u'height': 126, u'width': 190, u'legacy': {u'wide': u'images/2014/11/26/world/POST/POST-thumbWide.jpg', u'wideheight': u'126', u'widewidth': u'190'}, u'type': u'image'}, {u'subtype': u'xlarge', u'url': u'images/2014/11/26/world/POST/POST-articleLarge.jpg', u'height': 400, u'width': 600, u'legacy': {u'xlargewidth': u'600', u'xlarge': u'images/2014/11/26/world/POST/POST-articleLarge.jpg', u'xlargeheight': u'400'}, u'type': u'image'}, {u'subtype': u'thumbnail', u'url': u'images/2014/11/26/world/POST/POST-thumbStandard.jpg', u'height': 75, u'width': 75, u'legacy': {u'thumbnailheight': u'75', u'thumbnail': u'images/2014/11/26/world/POST/POST-thumbStandard.jpg', u'thumbnailwidth': u'75'}, u'type': u'image'}], 'snippet': u'For the 39 Americans still alive who were held captive in Tehran for 444 days from 1979 to 1981, there has been no financial compensation from Iran and financial deals to extend the nuclear talks add to their anguish.', 'web_url': u'http://www.nytimes.com/2014/11/26/world/middleeast/for-former-embassy-hostages-a-special-interest-in-iran-talks.html', 'section_name': u'World', 'keywords': [u'Iran', u'Nuclear Weapons', u'Kidnapping and Hostages', u'United States International Relations'], 'pub_date': u'20141126'} {'type_of_material': u'News', 'headline': u'For New Tappan Zee, Questions Persist Over How High the Tolls Will Climb', 'abstract': u'Toll for travelers on the Tappan Zee Bridge, which has long been significantly cheaper than other Hudson River crossings like the George Washington Bridge, is likely to increase; it remains unclear how much New York State will be forced to raise toll due to construction of $3.9 billion replacement for bridge (Series: 21st-Century Span).', 'multimedia': [{u'subtype': u'wide', u'url': u'images/2014/11/28/nyregion/TAPPANZEE/TAPPANZEE-thumbWide.jpg', u'height': 126, u'width': 190, u'legacy': {u'wide': u'images/2014/11/28/nyregion/TAPPANZEE/TAPPANZEE-thumbWide.jpg', u'wideheight': u'126', u'widewidth': u'190'}, u'type': u'image'}, {u'subtype': u'xlarge', u'url': u'images/2014/11/28/nyregion/TAPPANZEE/TAPPANZEE-articleLarge.jpg', u'height': 400, u'width': 600, u'legacy': {u'xlargewidth': u'600', u'xlarge': u'images/2014/11/28/nyregion/TAPPANZEE/TAPPANZEE-articleLarge.jpg', u'xlargeheight': u'400'}, u'type': u'image'}, {u'subtype': u'thumbnail', u'url': u'images/2014/11/28/nyregion/TAPPANZEE/TAPPANZEE-thumbStandard.jpg', u'height': 75, u'width': 75, u'legacy': {u'thumbnailheight': u'75', u'thumbnail': u'images/2014/11/28/nyregion/TAPPANZEE/TAPPANZEE-thumbStandard.jpg', u'thumbnailwidth': u'75'}, u'type': u'image'}], 'snippet': u'The discount afforded by one of the New York City area\u2019s great travel bargains \u2014 crossing the Hudson River on the Tappan Zee Bridge \u2014 is likely to shrink, but no one can say by how much.', 'web_url': u'http://www.nytimes.com/2014/11/28/nyregion/for-new-tappan-zee-questions-persist-over-how-high-the-tolls-will-climb.html', 'section_name': u'N.Y. / Region', 'keywords': [u'Tappan Zee Bridge', u'Dewey, Thomas E, Thruway', u'Bridges and Tunnels', u'Tolls', u'Series', u'New York Metropolitan Area', u'New York State', u'Infrastructure (Public Works)', u'Cuomo, Andrew M', u'Rockland County (NY)', u'Westchester County (NY)'], 'pub_date': u'20141128'} {'type_of_material': u'News', 'headline': u'OPEC Holds Production Unchanged; Prices Fall ', 'abstract': u"Organization of the Petroleum Exporting Countries decides not to cut petroleum production despite plunge in oil prices that has highlighted group's diminishing clout; price of Brent crude oil falls to four-year low of about $73 on news, as American crude drops below key $70 benchmark; OPEC has been shaken over past months as prices have declined by more than 30 percent.", 'multimedia': [{u'subtype': u'wide', u'url': u'images/2014/11/28/business/28OPEC/28OPEC-thumbWide.jpg', u'height': 126, u'width': 190, u'legacy': {u'wide': u'images/2014/11/28/business/28OPEC/28OPEC-thumbWide.jpg', u'wideheight': u'126', u'widewidth': u'190'}, u'type': u'image'}, {u'subtype': u'xlarge', u'url': u'images/2014/11/28/business/28OPEC/28OPEC-articleLarge.jpg', u'height': 398, u'width': 600, u'legacy': {u'xlargewidth': u'600', u'xlarge': u'images/2014/11/28/business/28OPEC/28OPEC-articleLarge.jpg', u'xlargeheight': u'398'}, u'type': u'image'}, {u'subtype': u'thumbnail', u'url': u'images/2014/11/28/business/28OPEC/28OPEC-thumbStandard.jpg', u'height': 75, u'width': 75, u'legacy': {u'thumbnailheight': u'75', u'thumbnail': u'images/2014/11/28/business/28OPEC/28OPEC-thumbStandard.jpg', u'thumbnailwidth': u'75'}, u'type': u'image'}], 'snippet': u'The 30 percent decline in oil prices in recent months has shaken the solidarity of the 12-member Organization of the Petroleum Exporting Countries.', 'web_url': u'http://www.nytimes.com/2014/11/28/business/international/opec-leaves-oil-production-quotas-unchanged-and-prices-fall-further.html', 'section_name': u'Business Day', 'keywords': [u'Organization of the Petroleum Exporting Countries', u'Oil (Petroleum) and Gasoline', u'International Trade and World Market', u'Naimi, Ali Al-', u'Saudi Arabia'], 'pub_date': u'20141128'} {'type_of_material': u'News', 'headline': u'Grateful for What\u2019s Left, Not Mourning What\u2019s Lost', 'abstract': u'Catholic Charities Brooklyn and Queens, one of seven agencies supported by The New York Times Neediest Cases Fund, has helped Anna Maria Walsh of Brooklyn to pay for filing Certificate of Citizenship form and for replacement for her washer and dryer.', 'multimedia': [{u'subtype': u'wide', u'url': u'images/2014/11/28/nyregion/NEEDIEST/NEEDIEST-thumbWide.jpg', u'height': 126, u'width': 190, u'legacy': {u'wide': u'images/2014/11/28/nyregion/NEEDIEST/NEEDIEST-thumbWide.jpg', u'wideheight': u'126', u'widewidth': u'190'}, u'type': u'image'}, {u'subtype': u'xlarge', u'url': u'images/2014/11/28/nyregion/NEEDIEST/NEEDIEST-articleLarge.jpg', u'height': 400, u'width': 600, u'legacy': {u'xlargewidth': u'600', u'xlarge': u'images/2014/11/28/nyregion/NEEDIEST/NEEDIEST-articleLarge.jpg', u'xlargeheight': u'400'}, u'type': u'image'}, {u'subtype': u'thumbnail', u'url': u'images/2014/11/28/nyregion/NEEDIEST/NEEDIEST-thumbStandard.jpg', u'height': 75, u'width': 75, u'legacy': {u'thumbnailheight': u'75', u'thumbnail': u'images/2014/11/28/nyregion/NEEDIEST/NEEDIEST-thumbStandard.jpg', u'thumbnailwidth': u'75'}, u'type': u'image'}], 'snippet': u'Anna Maria Walsh has numerous health problems, but her resiliency has led her to win nomination to a Brooklyn community board and to work to help others with disabilities.', 'web_url': u'http://www.nytimes.com/2014/11/28/nyregion/grateful-for-what-remains.html', 'section_name': u'N.Y. / Region', 'keywords': [u'New York Times Neediest Cases Fund', u'Catholic Charities', u'Philanthropy'], 'pub_date': u'20141128'} {'type_of_material': u'News', 'headline': u'Eagles Come Out Strong Against Cowboys and Take Division Lead', 'abstract': u'Philadelphia Eagles improve to 9-3 and assume control of NFC East with 33-10 win over Dallas Cowboys.', 'multimedia': [{u'subtype': u'wide', u'url': u'images/2014/11/28/sports/Y-COWBOYS/Y-COWBOYS-thumbWide.jpg', u'height': 126, u'width': 190, u'legacy': {u'wide': u'images/2014/11/28/sports/Y-COWBOYS/Y-COWBOYS-thumbWide.jpg', u'wideheight': u'126', u'widewidth': u'190'}, u'type': u'image'}, {u'subtype': u'xlarge', u'url': u'images/2014/11/28/sports/Y-COWBOYS/Y-COWBOYS-articleLarge.jpg', u'height': 425, u'width': 600, u'legacy': {u'xlargewidth': u'600', u'xlarge': u'images/2014/11/28/sports/Y-COWBOYS/Y-COWBOYS-articleLarge.jpg', u'xlargeheight': u'425'}, u'type': u'image'}, {u'subtype': u'thumbnail', u'url': u'images/2014/11/28/sports/Y-COWBOYS/Y-COWBOYS-thumbStandard.jpg', u'height': 75, u'width': 75, u'legacy': {u'thumbnailheight': u'75', u'thumbnail': u'images/2014/11/28/sports/Y-COWBOYS/Y-COWBOYS-thumbStandard.jpg', u'thumbnailwidth': u'75'}, u'type': u'image'}], 'snippet': u'Mark Sanchez, who was 20 of 29 passing for 217 yards, led Philadelphia in a rout of N.F.C. East rival Dallas.', 'web_url': u'http://www.nytimes.com/2014/11/28/sports/football/philadelphia-eagles-come-out-strong-against-dallas-cowboys-and-walk-off-with-division-lead.html', 'section_name': u'Sports', 'keywords': [u'Football', u'National Football League', u'Sanchez, Mark', u'Romo, Tony', u'Philadelphia Eagles', u'Dallas Cowboys'], 'pub_date': u'20141128'} {'type_of_material': u'Op-Ed', 'headline': u'Did Dubai Do It? ', 'abstract': u'Thomas L Friedman Op-Ed column considers role Dubai and United Arab Emirates played in Arab awakening; argues that, despite being absolute monarchies, the two served as example of modernity to young Arabs across Middle East; holds best American policy in Middle East is one, based on containment, that simply amplifies any such spark of legitimacy and coherence in a body politic.', 'multimedia': [{u'subtype': u'wide', u'url': u'images/2014/11/01/opinion/friedman-circular/friedman-circular-thumbWide-v2.png', u'height': 126, u'width': 190, u'legacy': {u'wide': u'images/2014/11/01/opinion/friedman-circular/friedman-circular-thumbWide-v2.png', u'wideheight': u'126', u'widewidth': u'190'}, u'type': u'image'}, {u'subtype': u'thumbnail', u'url': u'images/2014/11/01/opinion/friedman-circular/friedman-circular-thumbStandard-v2.png', u'height': 75, u'width': 75, u'legacy': {u'thumbnailheight': u'75', u'thumbnail': u'images/2014/11/01/opinion/friedman-circular/friedman-circular-thumbStandard-v2.png', u'thumbnailwidth': u'75'}, u'type': u'image'}], 'snippet': u'On a visit to Dubai, several conversations pondered whether the crown jewel of the United Arab Emirates caused the Arab awakening.', 'web_url': u'http://www.nytimes.com/2014/11/19/opinion/thomas-friedman-did-dubai-do-it.html', 'section_name': u'Opinion', 'keywords': [u'Dubai (United Arab Emirates)', u'United Arab Emirates', u'Middle East and North Africa Unrest (2010- )', u'United States International Relations', u'Middle East'], 'pub_date': u'20141119'} {'type_of_material': u'Editorial', 'headline': u'Israel Narrows Its Democracy ', 'abstract': u"Editorial decries adoption of contentious bill that will officially define Israel as the nation-state of the Jewish people, reserving 'national rights' only for Jews; calls for defeat of law that would be in clear violation of Israel's founding principles; holds it will also antagonize an already seething Arab minority and erode Israel's standing among democratic nations.", 'multimedia': [{u'subtype': u'wide', u'url': u'images/2014/11/25/opinion/25tue2/25tue2-thumbWide.jpg', u'height': 126, u'width': 190, u'legacy': {u'wide': u'images/2014/11/25/opinion/25tue2/25tue2-thumbWide.jpg', u'wideheight': u'126', u'widewidth': u'190'}, u'type': u'image'}, {u'subtype': u'xlarge', u'url': u'images/2014/11/25/opinion/25tue2/25tue2-articleLarge.jpg', u'height': 400, u'width': 600, u'legacy': {u'xlargewidth': u'600', u'xlarge': u'images/2014/11/25/opinion/25tue2/25tue2-articleLarge.jpg', u'xlargeheight': u'400'}, u'type': u'image'}, {u'subtype': u'thumbnail', u'url': u'images/2014/11/25/opinion/25tue2/25tue2-thumbStandard.jpg', u'height': 75, u'width': 75, u'legacy': {u'thumbnailheight': u'75', u'thumbnail': u'images/2014/11/25/opinion/25tue2/25tue2-thumbStandard.jpg', u'thumbnailwidth': u'75'}, u'type': u'image'}], 'snippet': u'In any form, the contentious bill that would officially define Israel as the nation-state of the Jewish people, reserving “national rights” only for Jews, should be defeated.', 'web_url': u'http://www.nytimes.com/2014/11/25/opinion/israel-narrows-its-democracy.html', 'section_name': u'Opinion', 'keywords': [u'Israel', u'Editorials', u'Jews and Judaism', u'Palestinians', u'Discrimination', u'Minorities', u'United States'], 'pub_date': u'20141125'} {'type_of_material': u'News', 'headline': u'On the Trail of an Ancient Mystery', 'abstract': u"Drs Christian C Carman and James Evans study in journal Archive for History of Exact Sciences suggests that Antikythera Mechanism, astronomical calculator raised from ancient shipwreck near Crete in 1901, may date to 205 BC, 50 years earlier than previously suggested; finding also supports idea that mechanism's eclipse prediction strategy was based on Babylonian arithmetical methods, rather than Greek trigonometry.", 'multimedia': [{u'subtype': u'wide', u'url': u'images/2014/11/25/science/25DEVI1/25DEVI1-thumbWide.jpg', u'height': 126, u'width': 190, u'legacy': {u'wide': u'images/2014/11/25/science/25DEVI1/25DEVI1-thumbWide.jpg', u'wideheight': u'126', u'widewidth': u'190'}, u'type': u'image'}, {u'subtype': u'xlarge', u'url': u'images/2014/11/25/science/25DEVI1/25DEVI1-articleLarge.jpg', u'height': 604, u'width': 600, u'legacy': {u'xlargewidth': u'600', u'xlarge': u'images/2014/11/25/science/25DEVI1/25DEVI1-articleLarge.jpg', u'xlargeheight': u'604'}, u'type': u'image'}, {u'subtype': u'thumbnail', u'url': u'images/2014/11/25/science/25DEVI1/25DEVI1-thumbStandard.jpg', u'height': 75, u'width': 75, u'legacy': {u'thumbnailheight': u'75', u'thumbnail': u'images/2014/11/25/science/25DEVI1/25DEVI1-thumbStandard.jpg', u'thumbnailwidth': u'75'}, u'type': u'image'}], 'snippet': u'More than 100 years after it was found, and more than 2,000 years after it was believed to have been built, the Antikythera Mechanism continues to raise questions and provide answers.', 'web_url': u'http://www.nytimes.com/2014/11/25/science/solving-the-riddles-of-an-early-astronomical-calculator.html', 'section_name': u'Science', 'keywords': [u'Archaeology', u'Space and Astronomy', u'Archive for History of Exact Sciences (Journal)', u'Greek Civilization', u'Crete (Greece)'], 'pub_date': u'20141125'} {'type_of_material': u'Blog', 'headline': u'Q. and A.: Ann E. Carlson and Alex Wang on the U.S.-China Climate Accord', 'abstract': u'Alex Wang and Ann E. Carlson, law professors at the University of California, Los Angeles, who study environmental policy and regulations in the United States and China, responded to questions about the United States-China agreement on cutting greenhouse gases.', 'multimedia': [{u'subtype': u'wide', u'url': u'images/2014/11/28/world/28sino-WANG1/28sino-WANG1-thumbWide.jpg', u'height': 126, u'width': 190, u'legacy': {u'wide': u'images/2014/11/28/world/28sino-WANG1/28sino-WANG1-thumbWide.jpg', u'wideheight': u'126', u'widewidth': u'190'}, u'type': u'image'}, {u'subtype': u'xlarge', u'url': u'images/2014/11/28/world/28sino-WANG1/28sino-WANG1-articleLarge.jpg', u'height': 422, u'width': 600, u'legacy': {u'xlargewidth': u'600', u'xlarge': u'images/2014/11/28/world/28sino-WANG1/28sino-WANG1-articleLarge.jpg', u'xlargeheight': u'422'}, u'type': u'image'}, {u'subtype': u'thumbnail', u'url': u'images/2014/11/28/world/28sino-WANG1/28sino-WANG1-thumbStandard.jpg', u'height': 75, u'width': 75, u'legacy': {u'thumbnailheight': u'75', u'thumbnail': u'images/2014/11/28/world/28sino-WANG1/28sino-WANG1-thumbStandard.jpg', u'thumbnailwidth': u'75'}, u'type': u'image'}], 'snippet': u'Alex Wang and Ann E. Carlson, law professors at the University of California, Los Angeles, who study environmental policy and regulations in the United States and China, responded to questions about the United States-China agreement on cutting...', 'web_url': u'http://sinosphere.blogs.nytimes.com/2014/11/28/q-and-a-alex-wang-and-ann-e-carlson-on-the-u-s-china-climate-accord/', 'section_name': u'World', 'keywords': [u'Bush, George W', u'Carlson, Ann E', u'McConnell, Mitch', u'Obama, Barack', u'Wang, Alex (Law Professor)', u'Xi Jinping', u'China', u'India', u'United States', u'Environmental Protection Agency', u'Republican Party', u'Senate', u'Air Pollution', u'Carbon Dioxide', u'Global Warming', u'Greenhouse Gas Emissions'], 'pub_date': u'20141128'} (venv)ncl:server nkl223$ python test_nyt_api.py [{u'type_of_material': u'Video', u'blog': [], u'news_desk': u'Multimedia/Photos', u'lead_paragraph': u'Protesters return to the streets of Ferguson after the police officer who shot black teenager Michael Brown resigns. Rough cut (no reporter narration)', u'headline': {u'main': u'Protesters return to Ferguson streets after police officer resigns', u'sub': u'Protesters return to Ferguson streets after police officer resigns'}, u'abstract': None, u'print_page': None, u'word_count': u'23', u'_id': u'547ad45238f0d803f445c1f2', u'snippet': u'Protesters return to the streets of Ferguson after the police officer who shot black teenager Michael Brown resigns. Rough cut (no reporter narration)', u'source': u'Reuters', u'web_url': u'http://www.nytimes.com/video/multimedia/100000003262539/protesters-return-to-ferguson-streets-after-police-officer-resig.html', u'multimedia': [{u'subtype': u'wide', u'url': u'images/2014/11/30/multimedia/video-missourishooting/video-missourishooting-thumbWide.jpg', u'height': 126, u'width': 190, u'legacy': {u'wide': u'images/2014/11/30/multimedia/video-missourishooting/video-missourishooting-thumbWide.jpg', u'wideheight': u'126', u'widewidth': u'190'}, u'type': u'image'}, {u'subtype': u'xlarge', u'url': u'images/2014/11/30/multimedia/video-missourishooting/video-missourishooting-articleLarge.jpg', u'height': 338, u'width': 600, u'legacy': {u'xlargewidth': u'600', u'xlarge': u'images/2014/11/30/multimedia/video-missourishooting/video-missourishooting-articleLarge.jpg', u'xlargeheight': u'338'}, u'type': u'image'}, {u'subtype': u'thumbnail', u'url': u'images/2014/11/30/multimedia/video-missourishooting/video-missourishooting-thumbStandard.jpg', u'height': 75, u'width': 75, u'legacy': {u'thumbnailheight': u'75', u'thumbnail': u'images/2014/11/30/multimedia/video-missourishooting/video-missourishooting-thumbStandard.jpg', u'thumbnailwidth': u'75'}, u'type': u'image'}], u'subsection_name': None, u'keywords': [], u'byline': None, u'document_type': u'multimedia', u'pub_date': u'2014-11-30T03:22:56Z', u'section_name': u'Multimedia/Photos'}, {u'type_of_material': u'Video', u'blog': [], u'news_desk': u'Multimedia/Photos', u'lead_paragraph': u'Protesters return to the streets of Ferguson after the police officer who shot black teenager Michael Brown resigns. Rough cut (no reporter narration)', u'headline': {u'main': u'Protesters return to Ferguson streets after police officer resigns', u'sub': u'Protesters return to Ferguson streets after police officer resigns'}, u'abstract': None, u'print_page': None, u'word_count': u'23', u'_id': u'547ad1c238f0d803f445c1c3', u'snippet': u'Protesters return to the streets of Ferguson after the police officer who shot black teenager Michael Brown resigns. Rough cut (no reporter narration)', u'source': u'Reuters', u'web_url': u'http://www.nytimes.com/video/multimedia/100000003262536/protesters-return-to-ferguson-streets-after-police-officer-resig.html', u'multimedia': [{u'subtype': u'wide', u'url': u'images/2014/11/30/multimedia/video-missourishooting/video-missourishooting-thumbWide.jpg', u'height': 126, u'width': 190, u'legacy': {u'wide': u'images/2014/11/30/multimedia/video-missourishooting/video-missourishooting-thumbWide.jpg', u'wideheight': u'126', u'widewidth': u'190'}, u'type': u'image'}, {u'subtype': u'xlarge', u'url': u'images/2014/11/30/multimedia/video-missourishooting/video-missourishooting-articleLarge.jpg', u'height': 338, u'width': 600, u'legacy': {u'xlargewidth': u'600', u'xlarge': u'images/2014/11/30/multimedia/video-missourishooting/video-missourishooting-articleLarge.jpg', u'xlargeheight': u'338'}, u'type': u'image'}, {u'subtype': u'thumbnail', u'url': u'images/2014/11/30/multimedia/video-missourishooting/video-missourishooting-thumbStandard.jpg', u'height': 75, u'width': 75, u'legacy': {u'thumbnailheight': u'75', u'thumbnail': u'images/2014/11/30/multimedia/video-missourishooting/video-missourishooting-thumbStandard.jpg', u'thumbnailwidth': u'75'}, u'type': u'image'}], u'subsection_name': None, u'keywords': [], u'byline': None, u'document_type': u'multimedia', u'pub_date': u'2014-11-30T03:12:56Z', u'section_name': u'Multimedia/Photos'}, {u'type_of_material': u'News', u'blog': [], u'news_desk': u'None', u'lead_paragraph': u"The officer who fatally shot 18-year-old Michael Brown resigned Saturday from the police department in Ferguson, Missouri, where protests continued but were far more muted than the violence sparked by a grand jury's decision not to indict the officer earlier in the week.", u'headline': {u'main': u'A Glance at Developments in Ferguson', u'print_headline': u'A Glance at Developments in Ferguson'}, u'abstract': None, u'print_page': None, u'word_count': u'608', u'_id': u'547abb1538f0d803f445bfd6', u'snippet': u"The officer who fatally shot 18-year-old Michael Brown resigned Saturday from the police department in Ferguson, Missouri, where protests continued but were far more muted than the violence sparked by a grand jury's decision not to indict the officer...", u'source': u'AP', u'web_url': u'http://www.nytimes.com/aponline/2014/11/30/us/ap-us-ferguson-news-guide.html', u'multimedia': [], u'subsection_name': None, u'keywords': [], u'byline': {u'person': [], u'original': u'By THE ASSOCIATED PRESS', u'organization': u'THE ASSOCIATED PRESS'}, u'document_type': u'article', u'pub_date': u'2014-11-30T01:34:56Z', u'section_name': u'U.S.'}, {u'type_of_material': u'News', u'blog': [], u'news_desk': u'None', u'lead_paragraph': u'Ferguson officials plan to address the resignation of a police officer who fatally shot 18-year-old Michael Brown, as his parents prepared to attend a church service where civil rights activist the Rev. Al Sharpton was scheduled to preach.', u'headline': {u'main': u'Ferguson Officer Who Shot Michael Brown Resigns', u'print_headline': u'Ferguson Officer Who Shot Michael Brown Resigns'}, u'abstract': None, u'print_page': None, u'word_count': u'115', u'_id': u'547aba6138f0d803f445bfc8', u'snippet': u'Ferguson officials plan to address the resignation of a police officer who fatally shot 18-year-old Michael Brown, as his parents prepared to attend a church service where civil rights activist the Rev. Al Sharpton was scheduled to preach.', u'source': u'AP', u'web_url': u'http://www.nytimes.com/aponline/2014/11/30/us/ap-us-ferguson.html', u'multimedia': [], u'subsection_name': None, u'keywords': [], u'byline': {u'person': [], u'original': u'By THE ASSOCIATED PRESS', u'organization': u'THE ASSOCIATED PRESS'}, u'document_type': u'article', u'pub_date': u'2014-11-30T01:31:52Z', u'section_name': u'U.S.'}, {u'type_of_material': u'News', u'blog': [], u'news_desk': u'National', u'lead_paragraph': u'A group called Oath Keepers, regarded by some as an antigovernment militia, is placing sentries atop businesses as tensions continue in Ferguson, Mo.', u'headline': {u'main': u'On Rooftops of Ferguson, Volunteers — With Guns ', u'print_headline': u'On Rooftops of Ferguson, Volunteers \u2014 With Guns'}, u'abstract': None, u'print_page': u'33', u'word_count': u'928', u'_id': u'547a768638f0d803f445ba10', u'snippet': u'A group called Oath Keepers, regarded by some as an antigovernment militia, is placing sentries atop businesses as tensions continue in Ferguson, Mo.', u'source': u'The New York Times', u'web_url': u'http://www.nytimes.com/2014/11/30/us/on-rooftops-of-ferguson-volunteers-with-guns.html', u'multimedia': [{u'subtype': u'wide', u'url': u'images/2014/11/30/us/OATH/OATH-thumbWide-v2.jpg', u'height': 126, u'width': 190, u'legacy': {u'wide': u'images/2014/11/30/us/OATH/OATH-thumbWide-v2.jpg', u'wideheight': u'126', u'widewidth': u'190'}, u'type': u'image'}, {u'subtype': u'xlarge', u'url': u'images/2014/11/30/us/OATH/OATH-articleLarge-v2.jpg', u'height': 400, u'width': 600, u'legacy': {u'xlargewidth': u'600', u'xlarge': u'images/2014/11/30/us/OATH/OATH-articleLarge-v2.jpg', u'xlargeheight': u'400'}, u'type': u'image'}, {u'subtype': u'thumbnail', u'url': u'images/2014/11/30/us/OATH/OATH-thumbStandard-v4.jpg', u'height': 75, u'width': 75, u'legacy': {u'thumbnailheight': u'75', u'thumbnail': u'images/2014/11/30/us/OATH/OATH-thumbStandard-v4.jpg', u'thumbnailwidth': u'75'}, u'type': u'image'}], u'subsection_name': None, u'keywords': [{u'value': u'Security and Warning Systems', u'is_major': u'N', u'rank': u'2', u'name': u'subject'}, {u'value': u'Looting (Crime)', u'is_major': u'N', u'rank': u'3', u'name': u'subject'}, {u'value': u'Ferguson (Mo)', u'is_major': u'N', u'rank': u'4', u'name': u'glocations'}], u'byline': {u'contributor': u'', u'person': [{u'organization': u'', u'role': u'reported', u'rank': 1, u'firstname': u'Manny', u'lastname': u'FERNANDEZ'}, {u'organization': u'', u'role': u'reported', u'rank': 2, u'firstname': u'Alan', u'lastname': u'BLINDER'}], u'original': u'By MANNY FERNANDEZ and ALAN BLINDER'}, u'document_type': u'article', u'pub_date': u'2014-11-30T00:00:00Z', u'section_name': u'U.S.'}, {u'type_of_material': u'News', u'blog': [], u'news_desk': u'Sports', u'lead_paragraph': u'Ronaldo\u2019s two assists helped his club to a 2-1 win at M\xe1laga in the Spanish league.', u'headline': {u'main': u'Cristiano Ronaldo Helps Real Madrid Set a 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u'blog': [], u'news_desk': u'National', u'lead_paragraph': u'A grand jury rejected the image of Michael Brown with his hands raised in surrender before he was shot, but the questions surrounding his final moments remain murky and unresolved.', u'headline': {u'main': u'Raised Hands, and the Doubts of a Grand Jury', u'print_headline': u'Raised Hands, and the Doubts of a Grand Jury'}, u'abstract': None, u'print_page': u'1', u'word_count': u'1939', u'_id': u'547a2b0938f0d803f445b399', u'snippet': u'A grand jury rejected the image of Michael Brown with his hands raised in surrender before he was shot, but the questions surrounding his final moments remain murky and unresolved.', u'source': u'The New York Times', u'web_url': u'http://www.nytimes.com/2014/11/30/us/raised-hands-and-the-doubts-of-a-grand-jury-.html', u'multimedia': [{u'subtype': u'wide', u'url': u'images/2014/11/30/us/JP-FERGUSON1/JP-FERGUSON1-thumbWide.jpg', u'height': 126, u'width': 190, u'legacy': {u'wide': 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Wrong question.', u'headline': {u'main': u'Pain Is Colorblind', u'kicker': u'News Analysis', u'print_headline': u'Pain Is Colorblind', u'content_kicker': u'News Analysis'}, u'abstract': None, u'print_page': u'1', u'word_count': u'1233', u'_id': u'547a241f38f0d803f445b302', u'snippet': u'What color was the trigger finger? Wrong question.', u'source': u'The New York Times', u'web_url': u'http://www.nytimes.com/2014/11/30/sunday-review/pain-is-colorblind.html', u'multimedia': [{u'subtype': u'wide', u'url': u'images/2014/11/30/sunday-review/30eligon/30eligon-thumbWide.jpg', u'height': 126, u'width': 190, u'legacy': {u'wide': u'images/2014/11/30/sunday-review/30eligon/30eligon-thumbWide.jpg', u'wideheight': u'126', u'widewidth': u'190'}, u'type': u'image'}, {u'subtype': u'xlarge', u'url': u'images/2014/11/30/sunday-review/30eligon/30eligon-articleLarge.jpg', u'height': 400, u'width': 600, u'legacy': {u'xlargewidth': u'600', u'xlarge': u'images/2014/11/30/sunday-review/30eligon/30eligon-articleLarge.jpg', u'xlargeheight': u'400'}, u'type': u'image'}, {u'subtype': u'thumbnail', u'url': u'images/2014/11/30/sunday-review/30eligon/30eligon-thumbStandard.jpg', u'height': 75, u'width': 75, u'legacy': {u'thumbnailheight': u'75', u'thumbnail': u'images/2014/11/30/sunday-review/30eligon/30eligon-thumbStandard.jpg', u'thumbnailwidth': u'75'}, u'type': u'image'}], u'subsection_name': None, u'keywords': [{u'value': u'Brown, Michael (1996-2014)', u'is_major': u'N', u'rank': u'1', u'name': u'persons'}, {u'value': u'Ferguson (Mo)', u'is_major': u'N', u'rank': u'2', u'name': u'glocations'}, {u'value': u'Police Brutality, Misconduct and Shootings', u'is_major': u'N', u'rank': u'3', u'name': u'subject'}, {u'value': u'Murders, Attempted Murders and Homicides', u'is_major': u'N', u'rank': u'4', u'name': u'subject'}, {u'value': u'Giuliani, Rudolph W', u'is_major': u'N', u'rank': u'5', u'name': u'persons'}, {u'value': u'French, Antonio D', u'is_major': u'N', u'rank': u'6', u'name': u'persons'}, {u'value': u'Social Conditions and Trends', u'is_major': u'N', u'rank': u'7', u'name': u'subject'}], u'byline': {u'contributor': u'', u'person': [{u'organization': u'', u'role': u'reported', u'rank': 1, u'firstname': u'John', u'lastname': u'ELIGON'}], u'original': u'By JOHN ELIGON'}, u'document_type': u'article', 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u'547a1ec438f0d803f445b283', u'snippet': u'How can we address the racial biases embedded in our society?', u'source': u'The New York Times', u'web_url': u'http://www.nytimes.com/2014/11/30/opinion/sunday/nicholas-kristof-when-whites-just-dont-get-it-part-5.html', u'multimedia': [{u'subtype': u'wide', u'url': u'images/2014/11/30/sunday-review/30KRISTOFsub/30KRISTOFsub-thumbWide.jpg', u'height': 126, u'width': 190, u'legacy': {u'wide': u'images/2014/11/30/sunday-review/30KRISTOFsub/30KRISTOFsub-thumbWide.jpg', u'wideheight': u'126', u'widewidth': u'190'}, u'type': u'image'}, {u'subtype': u'xlarge', u'url': u'images/2014/11/30/sunday-review/30KRISTOFsub/30KRISTOFsub-articleLarge.jpg', u'height': 400, u'width': 600, u'legacy': {u'xlargewidth': u'600', u'xlarge': u'images/2014/11/30/sunday-review/30KRISTOFsub/30KRISTOFsub-articleLarge.jpg', u'xlargeheight': u'400'}, u'type': u'image'}, {u'subtype': u'thumbnail', u'url': 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All Rights Reserved.'} [{u'type_of_material': u'News', u'blog': [], u'news_desk': u'None', u'lead_paragraph': u'Leading U.S. CEOs, angered by the Obama administration\'s challenge to certain "workplace wellness" programs, are threatening to side with anti-Obamacare forces unless the government backs off, according to people familiar with the matter. ', u'headline': {u'main': u"Exclusive-U.S. CEOs Threaten to Pull Tacit Obamacare Support Over 'Wellness' Spat", u'print_headline': u"Exclusive-U.S. CEOs Threaten to Pull Tacit Obamacare Support Over 'Wellness' Spat"}, u'abstract': None, u'print_page': None, u'word_count': u'848', u'_id': u'5479b85138f0d86bf592fc14', u'snippet': u'Leading U.S. CEOs, angered by the Obama administration\'s challenge to certain "workplace wellness" programs, are threatening to side with anti-Obamacare forces unless the government backs off, according to people familiar with the matter. ', u'source': u'Reuters', u'web_url': u'http://www.nytimes.com/reuters/2014/11/29/us/29reuters-usa-healthcare-wellness.html', u'multimedia': [], u'subsection_name': None, u'keywords': [], u'byline': {u'person': [], u'original': u'By REUTERS', u'organization': u'REUTERS'}, u'document_type': u'article', u'pub_date': u'2014-11-29T07:12:01Z', u'section_name': u'U.S.'}, {u'type_of_material': u'News', u'blog': [], u'news_desk': u'None', u'lead_paragraph': u'Leading U.S. CEOs, angered by the Obama administration\'s challenge to certain "workplace wellness" programs, are threatening to side with anti-Obamacare forces unless the government backs off, according to people familiar with the matter. ', u'headline': {u'main': u"Exclusive: U.S. CEOs Threaten to Pull Tacit Obamacare Support Over 'Wellness' Spat", u'print_headline': u"Exclusive: U.S. CEOs Threaten to Pull Tacit Obamacare Support Over 'Wellness' Spat"}, u'abstract': None, u'print_page': None, u'word_count': u'848', u'_id': u'5479b6ea38f0d86bf592fbf6', u'snippet': u'Leading U.S. CEOs, angered by the Obama administration\'s challenge to certain "workplace wellness" programs, are threatening to side with anti-Obamacare forces unless the government backs off, according to people familiar with the matter. ', u'source': u'Reuters', u'web_url': u'http://www.nytimes.com/reuters/2014/11/29/us/29reuters-usa-healthcare-wellness-exclusive.html', u'multimedia': [], u'subsection_name': None, u'keywords': [], u'byline': {u'person': [], u'original': u'By REUTERS', u'organization': u'REUTERS'}, u'document_type': u'article', u'pub_date': u'2014-11-29T07:05:56Z', u'section_name': u'U.S.'}, {u'type_of_material': u'News', u'blog': [], u'news_desk': u'None', u'lead_paragraph': u'New York state health officials have stopped a nonprofit group from providing free medical care to thousands of patients lacking health insurance during a four-day dental conference that starts Friday. ', u'headline': {u'main': u'New York State Blocks Free Medical Services at Event', u'print_headline': u'New York State Blocks Free Medical Services at Event'}, u'abstract': None, u'print_page': None, u'word_count': u'401', u'_id': u'5478e56338f0d86bf592ea31', u'snippet': u'New York state health officials have stopped a nonprofit group from providing free medical care to thousands of patients lacking health insurance during a four-day dental conference that starts Friday. ', u'source': u'Reuters', u'web_url': u'http://www.nytimes.com/reuters/2014/11/28/nyregion/28reuters-usa-newyork-medical.html', u'multimedia': [], u'subsection_name': None, u'keywords': [], u'byline': {u'person': [], u'original': u'By REUTERS', u'organization': u'REUTERS'}, u'document_type': u'article', u'pub_date': u'2014-11-28T16:11:28Z', u'section_name': u'N.Y. / Region'}, {u'type_of_material': u'News', u'blog': [], u'news_desk': u'None', u'lead_paragraph': u"Fresenius is considering pulling out of the bidding for French food group Danone's medical nutrition unit because of frustration with the slow progress of the process, two sources familiar with the situation said.", u'headline': {u'main': u'Fresenius Set to Walk Away From Danone Unit-Sources', u'print_headline': u'Fresenius Set to Walk Away From Danone Unit-Sources'}, u'abstract': None, u'print_page': None, u'word_count': u'310', u'_id': u'5478c5b838f0d86bf592e76b', u'snippet': u"Fresenius is considering pulling out of the bidding for French food group Danone's medical nutrition unit because of frustration with the slow progress of the process, two sources familiar with the situation said.", u'source': u'Reuters', u'web_url': u'http://www.nytimes.com/reuters/2014/11/28/business/28reuters-danone-fresenius-medi.html', u'multimedia': [], u'subsection_name': None, u'keywords': [], u'byline': {u'person': [], u'original': u'By REUTERS', u'organization': u'REUTERS'}, u'document_type': u'article', u'pub_date': u'2014-11-28T13:56:56Z', u'section_name': u'Business Day'}, {u'type_of_material': u'News', u'blog': [], u'news_desk': u'None', u'lead_paragraph': u'Merck KGaA aims to keep hold of its consumer healthcare unit, it said on Friday, pledging to develop a business that is expected to generate 2014 sales of $1 billion (0.63 billion pounds) for the German drugs and chemicals company.', u'headline': {u'main': u"Germany's Merck Aims to Grow, Not Sell $1 Billion Consumer Health Arm", u'print_headline': u"Germany's Merck Aims to Grow, Not Sell $1 Billion Consumer Health Arm"}, u'abstract': None, u'print_page': None, u'word_count': u'375', u'_id': u'5478867638f0d854b20b33db', u'snippet': u'Merck KGaA aims to keep hold of its consumer healthcare unit, it said on Friday, pledging to develop a business that is expected to generate 2014 sales of $1 billion (0.63 billion pounds) for the German drugs and chemicals company.', u'source': u'Reuters', u'web_url': u'http://www.nytimes.com/reuters/2014/11/28/business/28reuters-merck-consumers.html', u'multimedia': [], u'subsection_name': None, u'keywords': [], u'byline': {u'person': [], u'original': u'By REUTERS', u'organization': u'REUTERS'}, u'document_type': u'article', u'pub_date': u'2014-11-28T09:24:55Z', u'section_name': u'Business Day'}, {u'type_of_material': u'News', u'blog': [], u'news_desk': u'None', u'lead_paragraph': u"Britain's biggest drugmaker, GlaxoSmithKline Plc, fired an executive from its South African unit for refusing to appear for a performance review, which was called a week after he complained of racial discrimination in the workplace, Bloomberg reported, citing company documents.", u'headline': {u'main': u'GlaxoSmithKline Fires Executive Who Raised Race Complaint in South Africa: Bloomberg', u'print_headline': u'GlaxoSmithKline Fires Executive Who Raised Race Complaint in South Africa: Bloomberg'}, u'abstract': None, u'print_page': None, u'word_count': u'216', u'_id': u'5477bca738f0d854b20b2219', u'snippet': u"Britain's biggest drugmaker, GlaxoSmithKline Plc, fired an executive from its South African unit for refusing to appear for a performance review, which was called a week after he complained of racial discrimination in the workplace, Bloomberg...", u'source': u'Reuters', u'web_url': u'http://www.nytimes.com/reuters/2014/11/27/business/27reuters-gsk-employment.html', u'multimedia': [], u'subsection_name': None, u'keywords': [], u'byline': {u'person': [], u'original': u'By REUTERS', u'organization': u'REUTERS'}, u'document_type': u'article', u'pub_date': u'2014-11-27T19:06:38Z', u'section_name': u'Business Day'}, {u'type_of_material': u'News', u'blog': [], u'news_desk': u'None', u'lead_paragraph': u'European private equity house Apax [APAX.UL] is nearing the target on its $300 million (190.81 million dollars) Israeli mid-market fund and is expected hold a so-called "first close" next week, allowing it to start investing, a source familiar with the matter said. ', u'headline': {u'main': u"Apax's $300 Million Mid-Market Israeli Fund to Start Investing-Source", u'print_headline': u"Apax's $300 Million Mid-Market Israeli Fund to Start Investing-Source"}, u'abstract': None, u'print_page': None, u'word_count': u'354', u'_id': u'547726e638f0d83924902c25', u'snippet': u'European private equity house Apax [APAX.UL] is nearing the target on its $300 million (190.81 million dollars) Israeli mid-market fund and is expected hold a so-called "first close" next week, allowing it to start investing, a source familiar with...', u'source': u'Reuters', u'web_url': u'http://www.nytimes.com/reuters/2014/11/27/business/27reuters-apax-israel.html', u'multimedia': [], u'subsection_name': None, u'keywords': [], u'byline': {u'person': [], u'original': u'By REUTERS', u'organization': u'REUTERS'}, u'document_type': u'article', u'pub_date': u'2014-11-27T08:26:07Z', u'section_name': u'Business Day'}, {u'type_of_material': u'News', u'blog': [], u'news_desk': u'None', u'lead_paragraph': u"Criticism of President Barack Obama's signature healthcare law by a top Senate Democrat this week laid bare post-election tensions that could pose challenges for the party in upcoming fights with Republicans over taxes, energy and immigration.", u'headline': {u'main': u'Tensions Flare Between Senate Democrats, White House', u'print_headline': u'Tensions Flare Between Senate Democrats, White House'}, u'abstract': None, u'print_page': None, u'word_count': u'636', u'_id': u'54764fbc38f0d839249018bf', u'snippet': u"Criticism of President Barack Obama's signature healthcare law by a top Senate Democrat this week laid bare post-election tensions that could pose challenges for the party in upcoming fights with Republicans over taxes, energy and immigration.", u'source': u'Reuters', u'web_url': u'http://www.nytimes.com/reuters/2014/11/26/us/politics/26reuters-usa-obama-democrats.html', u'multimedia': [], u'subsection_name': u'Politics', u'keywords': [], u'byline': {u'person': [], u'original': u'By REUTERS', u'organization': u'REUTERS'}, u'document_type': u'article', u'pub_date': u'2014-11-26T17:08:49Z', u'section_name': u'U.S.'}, {u'type_of_material': u'News', u'blog': [], u'news_desk': u'None', u'lead_paragraph': u"U.S. antitrust regulators on Wednesday approved a pair of major deals in the medical field, including Medtronic's purchase of Covidien, which will allow it to take advantage of tax breaks in Ireland.", u'headline': {u'main': u'Medtronic Gets U.S. Antitrust OK to Buy Covidien With Divestiture', u'print_headline': u'Medtronic Gets U.S. Antitrust OK to Buy Covidien With Divestiture'}, u'abstract': None, u'print_page': None, u'word_count': u'336', u'_id': u'5476344e38f0d8392490174f', u'snippet': u"U.S. antitrust regulators on Wednesday approved a pair of major deals in the medical field, including Medtronic's purchase of Covidien, which will allow it to take advantage of tax breaks in Ireland.", u'source': u'Reuters', u'web_url': u'http://www.nytimes.com/reuters/2014/11/26/business/26reuters-covidien-medtronic-inc-antitrust.html', u'multimedia': [], u'subsection_name': None, u'keywords': [], u'byline': {u'person': [], u'original': u'By REUTERS', u'organization': u'REUTERS'}, u'document_type': u'article', u'pub_date': u'2014-11-26T15:10:02Z', u'section_name': u'Business Day'}, {u'type_of_material': u'News', u'blog': [], u'news_desk': u'None', u'lead_paragraph': u"GlaxoSmithKline won U.S. antitrust approval to buy Novartis AG's vaccine business, with the exception of influenza vaccines, the two companies said on Wednesday.", u'headline': {u'main': u"U.S. Approves GSK's Purchase of Novartis Vaccine Business-Companies", u'print_headline': u"U.S. Approves GSK's Purchase of Novartis Vaccine Business-Companies"}, u'abstract': None, u'print_page': None, u'word_count': u'122', u'_id': u'54762c9b38f0d83924901733', u'snippet': u"GlaxoSmithKline won U.S. antitrust approval to buy Novartis AG's vaccine business, with the exception of influenza vaccines, the two companies said on Wednesday.", u'source': u'Reuters', u'web_url': u'http://www.nytimes.com/reuters/2014/11/26/business/26reuters-novartis-glaxosmithkline-vaccine.html', u'multimedia': [], u'subsection_name': None, u'keywords': [], u'byline': {u'person': [], u'original': u'By REUTERS', u'organization': u'REUTERS'}, u'document_type': u'article', u'pub_date': u'2014-11-26T14:39:23Z', u'section_name': u'Business Day'}], u'meta': {u'hits': 11577, u'offset': 0, u'time': 8}}, u'copyright': u'Copyright (c) 2013 The New York Times Company. All Rights Reserved.'} [{u'type_of_material': u'Review', u'blog': [], u'news_desk': u'BookReview', u'lead_paragraph': u'George W. Bush\u2019s \u201c41,\u201d an affectionate biography of his father, takes readers through the touchstones of an extraordinary life.', u'headline': {u'main': u'George W. Bush\u2019s \u201841: A Portrait of My Father\u2019'}, u'abstract': None, u'print_page': u'11', u'word_count': u'1221', u'_id': u'546cc7bf38f0d869ced9a8d3', u'snippet': u'George W. Bush\u2019s \u201c41,\u201d an affectionate biography of his father, takes readers through the touchstones of an extraordinary life.', u'source': u'The New York Times', u'web_url': u'http://www.nytimes.com/2014/12/28/books/review/george-w-bushs-41-a-portrait-of-my-father.html', u'multimedia': [{u'subtype': u'wide', u'url': u'images/2014/11/19/books/review/19baker/19baker-thumbWide.jpg', u'height': 126, u'width': 190, u'legacy': {u'wide': u'images/2014/11/19/books/review/19baker/19baker-thumbWide.jpg', u'wideheight': u'126', u'widewidth': u'190'}, u'type': u'image'}, {u'subtype': u'xlarge', u'url': u'images/2014/11/19/books/review/19baker/19baker-articleLarge.jpg', u'height': 887, u'width': 600, u'legacy': {u'xlargewidth': u'600', u'xlarge': u'images/2014/11/19/books/review/19baker/19baker-articleLarge.jpg', u'xlargeheight': u'887'}, u'type': u'image'}, {u'subtype': u'thumbnail', u'url': u'images/2014/11/19/books/review/19baker/19baker-thumbStandard.jpg', u'height': 75, u'width': 75, u'legacy': {u'thumbnailheight': u'75', u'thumbnail': u'images/2014/11/19/books/review/19baker/19baker-thumbStandard.jpg', u'thumbnailwidth': u'75'}, u'type': u'image'}], u'subsection_name': u'Sunday Book Review', u'keywords': [{u'value': u'41: A Portrait of My Father (Book)', u'is_major': u'N', u'rank': u'1', u'name': u'creative_works'}, {u'value': u'Bush, George W', u'is_major': u'N', u'rank': u'2', u'name': u'persons'}, {u'value': u'Bush, George', u'is_major': u'N', u'rank': u'3', u'name': u'persons'}, {u'value': u'Books and Literature', u'is_major': u'N', u'rank': u'4', u'name': u'subject'}, {u'value': u'Presidents and Presidency (US)', u'is_major': u'N', u'rank': u'5', u'name': u'subject'}], u'byline': {u'person': [{u'organization': u'', u'role': u'reported', u'rank': 1, u'firstname': u'Peter', u'lastname': u'BAKER'}], u'original': u'By PETER BAKER'}, u'document_type': u'article', u'pub_date': u'2014-12-28T00:00:00Z', u'section_name': u'Books'}, {u'type_of_material': u'News', u'blog': [], u'news_desk': u'Culture', u'lead_paragraph': u"At recent sales in London, auction houses struggled to sell top Russian works of art. Some dealers said that the sluggish sales were a reflection of what's going on in Russia.", u'headline': {u'main': u'At Auctions, Russian Oligarchs Start to Hedge Their Bets', u'print_headline': u'At Auctions, Oligarchs Start to Hedge Their Bets'}, u'abstract': None, u'print_page': None, u'word_count': u'1108', u'_id': u'547894c138f0d854b20b352b', u'snippet': u"At recent sales in London, auction houses struggled to sell top Russian works of art. Some dealers said that the sluggish sales were a reflection of what's going on in Russia.", u'source': u'The New York Times', u'web_url': u'http://www.nytimes.com/2014/12/01/arts/international/at-auctions-russian-oligarchs-start-to-hedge-their-bets.html', u'multimedia': [{u'subtype': u'wide', u'url': u'images/2014/12/01/arts/international/01iht-reyburn01a/01iht-reyburn01a-thumbWide.jpg', u'height': 126, u'width': 190, u'legacy': {u'wide': u'images/2014/12/01/arts/international/01iht-reyburn01a/01iht-reyburn01a-thumbWide.jpg', u'wideheight': u'126', u'widewidth': u'190'}, u'type': u'image'}, {u'subtype': u'xlarge', u'url': u'images/2014/12/01/arts/international/01iht-reyburn01a/01iht-reyburn01a-articleLarge.jpg', u'height': 418, u'width': 600, u'legacy': {u'xlargewidth': u'600', u'xlarge': u'images/2014/12/01/arts/international/01iht-reyburn01a/01iht-reyburn01a-articleLarge.jpg', u'xlargeheight': u'418'}, u'type': u'image'}, {u'subtype': u'thumbnail', u'url': u'images/2014/12/01/arts/international/01iht-reyburn01a/01iht-reyburn01a-thumbStandard.jpg', u'height': 75, u'width': 75, u'legacy': {u'thumbnailheight': u'75', u'thumbnail': u'images/2014/12/01/arts/international/01iht-reyburn01a/01iht-reyburn01a-thumbStandard.jpg', u'thumbnailwidth': u'75'}, u'type': u'image'}], u'subsection_name': u'International Arts', u'keywords': [{u'value': u'Art', u'is_major': u'N', u'rank': u'1', u'name': u'subject'}, {u'value': u'Bonhams 1793 Ltd', u'is_major': u'N', u'rank': u'11', u'name': u'organizations'}, {u'value': u"Sotheby's", u'is_major': u'N', u'rank': u'12', u'name': u'organizations'}, {u'value': u'Lehman Brothers Holdings Inc', u'is_major': u'N', u'rank': u'13', u'name': u'organizations'}, {u'value': u'Faberge', u'is_major': u'N', u'rank': u'14', u'name': u'organizations'}, {u'value': u'Culture (Arts)', u'is_major': u'N', u'rank': u'2', u'name': u'subject'}, {u'value': u'Auctions', u'is_major': u'N', u'rank': u'3', u'name': u'subject'}, {u'value': u'London (England)', u'is_major': u'N', u'rank': u'4', u'name': u'glocations'}, {u'value': u'Russia', u'is_major': u'N', u'rank': u'5', u'name': u'glocations'}, {u'value': u'Ruble (Currency)', u'is_major': u'N', u'rank': u'6', u'name': u'subject'}, {u'value': u'Economic Conditions and Trends', u'is_major': u'N', u'rank': u'7', u'name': u'subject'}, {u'value': u'Embargoes and Sanctions', u'is_major': u'N', u'rank': u'8', u'name': u'subject'}, {u'value': u'Collectors and Collections', u'is_major': u'N', u'rank': u'9', u'name': u'subject'}, {u'value': u"Christie's", u'is_major': u'N', u'rank': u'10', u'name': u'organizations'}], u'byline': {u'person': [{u'organization': u'', u'role': u'reported', u'rank': 1, u'firstname': u'Scott', u'lastname': u'REYBURN'}], u'original': u'By SCOTT REYBURN'}, u'document_type': u'article', u'pub_date': u'2014-12-01T13:00:00Z', u'section_name': u'Arts'}, {u'type_of_material': u'News', u'blog': [], u'news_desk': u'None', u'lead_paragraph': u"The ECB's monthly rate meeting will focus minds this week on the debate over quantitative easing in the euro zone, as a series of data releases on both sides of the Atlantic sheds more light on European woes and U.S. strength.", u'headline': {u'main': u'QE or Not QE? Spotlight on the ECB as Inflation Dips', u'print_headline': u'QE or Not QE? Spotlight on the ECB as Inflation Dips'}, u'abstract': None, u'print_page': None, u'word_count': u'621', u'_id': u'547addb238f0d803f445c2a8', u'snippet': u"The ECB's monthly rate meeting will focus minds this week on the debate over quantitative easing in the euro zone, as a series of data releases on both sides of the Atlantic sheds more light on European woes and U.S. strength.", u'source': u'Reuters', u'web_url': u'http://www.nytimes.com/reuters/2014/11/30/business/30reuters-global-economy-weekahead.html', u'multimedia': [], u'subsection_name': None, u'keywords': [], u'byline': {u'person': [], u'original': u'By REUTERS', u'organization': u'REUTERS'}, u'document_type': u'article', u'pub_date': u'2014-11-30T04:02:33Z', u'section_name': u'Business Day'}, {u'type_of_material': u'News', u'blog': [], u'news_desk': u'None', u'lead_paragraph': u"Pressure was building on Sunday for Taiwan's president to step down as chief of the island's China-friendly ruling party after an unprecedented election battering by the opposition threw into doubt efforts to build closer ties with the giant neighbor.", u'headline': {u'main': u"Taiwan President's Party Post at Risk After Election Trouncing", u'print_headline': u"Taiwan President's Party Post at Risk After Election Trouncing"}, u'abstract': None, u'print_page': None, u'word_count': u'537', u'_id': u'547ac91e38f0d803f445c103', u'snippet': u"Pressure was building on Sunday for Taiwan's president to step down as chief of the island's China-friendly ruling party after an unprecedented election battering by the opposition threw into doubt efforts to build closer ties with the giant...", u'source': u'Reuters', u'web_url': u'http://www.nytimes.com/reuters/2014/11/30/world/asia/30reuters-taiwan-election.html', u'multimedia': [], u'subsection_name': u'Asia Pacific', u'keywords': [], u'byline': {u'person': [], u'original': u'By REUTERS', u'organization': u'REUTERS'}, u'document_type': u'article', u'pub_date': u'2014-11-30T02:34:21Z', u'section_name': u'World'}, {u'type_of_material': u'News', u'blog': [], u'news_desk': u'None', u'lead_paragraph': u"China's President Xi Jinping ratcheted down Beijing's heated rhetoric and called on the government to expand its foreign policy agenda through cooperation and diplomacy.", u'headline': {u'main': u"China's Xi Strikes Conciliatory Note, Broadens Diplomatic Focus", u'print_headline': u"China's Xi Strikes Conciliatory Note, Broadens Diplomatic Focus"}, u'abstract': None, u'print_page': None, u'word_count': u'382', u'_id': u'547ac5a038f0d803f445c0be', u'snippet': u"China's President Xi Jinping ratcheted down Beijing's heated rhetoric and called on the government to expand its foreign policy agenda through cooperation and diplomacy.", u'source': u'Reuters', u'web_url': u'http://www.nytimes.com/reuters/2014/11/30/world/asia/30reuters-china-southchinasea.html', u'multimedia': [], u'subsection_name': u'Asia Pacific', u'keywords': [], u'byline': {u'person': [], u'original': u'By REUTERS', u'organization': u'REUTERS'}, u'document_type': u'article', u'pub_date': u'2014-11-30T02:21:38Z', u'section_name': u'World'}, {u'type_of_material': u'News', u'blog': [], u'news_desk': u'National', u'lead_paragraph': u'The president and his daughters, Malia and Sasha, visited Prose and Politics, an independent bookstore in Washington, on Saturday.', u'headline': {u'main': u'Honoring Small Business, Obamas Go Book Shopping', u'print_headline': u'Honoring Small Business, Obamas Go Book Shopping'}, u'abstract': None, u'print_page': u'24', u'word_count': u'488', u'_id': u'547a62d938f0d803f445b864', u'snippet': u'The president and his daughters, Malia and Sasha, visited Prose and Politics, an independent bookstore in Washington, on Saturday.', u'source': u'The New York Times', u'web_url': u'http://www.nytimes.com/2014/11/30/us/honoring-small-business-obamas-go-book-shopping.html', u'multimedia': [{u'subtype': u'wide', u'url': 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u'N', u'rank': u'2', u'name': u'subject'}, {u'value': u'Obama, Barack', u'is_major': u'N', u'rank': u'3', u'name': u'persons'}, {u'value': u'Politics and Prose', u'is_major': u'N', u'rank': u'4', u'name': u'organizations'}, {u'value': u'Books and Literature', u'is_major': u'N', u'rank': u'5', u'name': u'subject'}], u'byline': {u'contributor': u'', u'person': [{u'organization': u'', u'role': u'reported', u'rank': 1, u'firstname': u'Elena', u'lastname': u'SCHNEIDER'}], u'original': u'By ELENA SCHNEIDER'}, u'document_type': u'article', u'pub_date': u'2014-11-30T00:00:00Z', u'section_name': u'U.S.'}, {u'type_of_material': u'News', u'blog': [], u'news_desk': u'Business', u'lead_paragraph': u'Sony Pictures Entertainment is investigating what provoked the cyberattack, including whether there are any ties to a coming film that has elicited the ire of North Korea.', u'headline': {u'main': u'Intrusion on Sony Unit Prompts a Shutdown of Messaging Systems', u'print_headline': u'Intrusion on Sony Unit Prompts a Shutdown of Messaging Systems'}, u'abstract': None, u'print_page': u'24', u'word_count': u'861', u'_id': u'547a4f3438f0d803f445b6bd', u'snippet': u'Sony Pictures Entertainment is investigating what provoked the cyberattack, including whether there are any ties to a coming film that has elicited the ire of North Korea.', u'source': u'The New York Times', u'web_url': u'http://www.nytimes.com/2014/11/30/business/media/intrusion-on-sony-unit-prompts-a-shutdown-of-messaging-systems.html', u'multimedia': [], u'subsection_name': u'Media', u'keywords': [{u'value': u'Sony Pictures Entertainment', u'is_major': u'N', u'rank': u'1', u'name': u'organizations'}, {u'value': u'United States', u'is_major': u'N', u'rank': u'2', u'name': u'glocations'}, {u'value': u'Cyberattacks and Hackers', u'is_major': u'N', u'rank': u'3', u'name': u'subject'}, {u'value': u'North Korea', u'is_major': u'N', u'rank': u'4', u'name': u'glocations'}, {u'value': u'Rogen, Seth', u'is_major': u'N', u'rank': u'5', u'name': u'persons'}, {u'value': u'The Interview (Movie)', u'is_major': u'N', u'rank': u'6', u'name': u'creative_works'}, {u'value': u'Franco, James', u'is_major': u'N', u'rank': u'7', u'name': u'persons'}], u'byline': {u'contributor': u'Nicole Perlroth contributed reporting from New York.', u'person': [{u'organization': u'', u'role': u'reported', u'rank': 1, u'firstname': u'Brooks', u'lastname': u'BARNES'}, {u'organization': u'', u'role': u'reported', u'rank': 2, u'firstname': u'Michael', u'lastname': u'CIEPLY'}], u'original': u'By BROOKS BARNES and MICHAEL CIEPLY'}, u'document_type': u'article', u'pub_date': u'2014-11-30T00:00:00Z', u'section_name': u'Business Day'}, {u'type_of_material': u'News', u'blog': [], u'news_desk': u'Foreign', u'lead_paragraph': u'Expeditions to the South Pacific island where many thousands died reflect a surge in interest among young Japanese in World War II.', u'headline': {u'main': u'Japanese Unearth Remains, and Their Nation’s Past, on Guadalcanal', u'print_headline': u'Japanese Unearth Remains, and Their Nation\u2019s Past, on Guadalcanal'}, u'abstract': None, u'print_page': u'20', u'word_count': u'1428', u'_id': u'547a4ef138f0d803f445b6b6', u'snippet': u'Expeditions to the South Pacific island where many thousands died reflect a surge in interest among young Japanese in World War II.', u'source': u'The New York Times', u'web_url': u'http://www.nytimes.com/2014/11/30/world/japanese-unearth-remains-and-their-nations-past-on-guadalcanal.html', u'multimedia': [{u'subtype': u'wide', u'url': u'images/2014/11/30/world/GAUDALCANAL/GAUDALCANAL-thumbWide.jpg', u'height': 126, u'width': 190, u'legacy': {u'wide': u'images/2014/11/30/world/GAUDALCANAL/GAUDALCANAL-thumbWide.jpg', u'wideheight': u'126', u'widewidth': u'190'}, u'type': u'image'}, {u'subtype': u'xlarge', u'url': u'images/2014/11/30/world/GAUDALCANAL/GAUDALCANAL-articleLarge.jpg', u'height': 480, u'width': 600, u'legacy': {u'xlargewidth': u'600', u'xlarge': u'images/2014/11/30/world/GAUDALCANAL/GAUDALCANAL-articleLarge.jpg', u'xlargeheight': u'480'}, u'type': u'image'}, {u'subtype': u'thumbnail', u'url': u'images/2014/11/30/world/GAUDALCANAL/GAUDALCANAL-thumbStandard.jpg', u'height': 75, u'width': 75, u'legacy': {u'thumbnailheight': u'75', u'thumbnail': u'images/2014/11/30/world/GAUDALCANAL/GAUDALCANAL-thumbStandard.jpg', u'thumbnailwidth': u'75'}, u'type': u'image'}], u'subsection_name': u'Asia Pacific', u'keywords': [{u'value': u'World War II (1939-45)', u'is_major': u'N', u'rank': u'1', u'name': u'subject'}, {u'value': u'Solomon Islands', u'is_major': u'N', u'rank': u'2', u'name': u'glocations'}, {u'value': u'Japan', u'is_major': u'N', u'rank': u'4', u'name': u'glocations'}, {u'value': u'East China Sea', u'is_major': u'N', u'rank': u'5', u'name': u'glocations'}, {u'value': u'Abe, Shinzo', u'is_major': u'N', u'rank': u'6', u'name': u'persons'}, {u'value': u'Far East, South and Southeast Asia and Pacific Areas', u'is_major': u'N', u'rank': u'7', u'name': u'glocations'}, {u'value': u'Defense and Military Forces', u'is_major': u'N', u'rank': u'8', u'name': u'subject'}], u'byline': {u'contributor': u'', u'person': [{u'organization': u'', u'role': u'reported', u'rank': 1, u'firstname': u'Martin', u'lastname': u'FACKLER'}], u'original': u'By MARTIN FACKLER'}, u'document_type': u'article', u'pub_date': u'2014-11-30T00:00:00Z', u'section_name': u'World'}, {u'type_of_material': u'News', u'blog': [], u'news_desk': u'Foreign', u'lead_paragraph': u'The election results signaled that Taiwan’s governing Chinese Nationalist Party, known as the Kuomintang, would be hard-pressed to retain the presidency in the 2016 election.', u'headline': {u'main': u'Independent Is Elected Taipei Mayor as Taiwan\u2019s Governing Party Falters', u'print_headline': u'Independent is Elected Taipei Mayor as Taiwan\u2019s Governing Party Falters'}, u'abstract': None, u'print_page': u'10', u'word_count': u'685', u'_id': u'547a32e938f0d803f445b452', u'snippet': u'The election results signaled that Taiwan’s governing Chinese Nationalist Party, known as the Kuomintang, would be hard-pressed to retain the presidency in the 2016 election.', u'source': u'The New York Times', u'web_url': u'http://www.nytimes.com/2014/11/30/world/asia/independent-is-elected-taipei-mayor-as-taiwans-governing-party-falters-.html', u'multimedia': [{u'subtype': u'wide', u'url': u'images/2014/11/30/world/TAIWAN01/TAIWAN01-thumbWide.jpg', u'height': 126, u'width': 190, u'legacy': {u'wide': u'images/2014/11/30/world/TAIWAN01/TAIWAN01-thumbWide.jpg', u'wideheight': u'126', u'widewidth': u'190'}, u'type': u'image'}, {u'subtype': u'xlarge', u'url': u'images/2014/11/30/world/TAIWAN01/TAIWAN01-articleLarge.jpg', u'height': 416, u'width': 600, u'legacy': {u'xlargewidth': u'600', u'xlarge': u'images/2014/11/30/world/TAIWAN01/TAIWAN01-articleLarge.jpg', u'xlargeheight': u'416'}, u'type': u'image'}, {u'subtype': u'thumbnail', u'url': u'images/2014/11/30/world/TAIWAN01/TAIWAN01-thumbStandard.jpg', u'height': 75, u'width': 75, u'legacy': {u'thumbnailheight': u'75', u'thumbnail': u'images/2014/11/30/world/TAIWAN01/TAIWAN01-thumbStandard.jpg', u'thumbnailwidth': u'75'}, u'type': u'image'}], u'subsection_name': u'Asia Pacific', u'keywords': [{u'value': u'Chinese Nationalist Party (Taiwan)', u'is_major': u'N', u'rank': u'1', u'name': u'organizations'}, {u'value': u'Taiwan', u'is_major': u'N', u'rank': u'2', u'name': u'glocations'}, {u'value': u'Jiang Yi-huah', u'is_major': u'N', u'rank': u'3', u'name': u'persons'}, {u'value': u'Elections', u'is_major': u'N', u'rank': u'4', u'name': u'subject'}], u'byline': {u'contributor': u'', u'person': [{u'organization': u'', u'role': u'reported', u'rank': 1, u'firstname': u'Austin', u'lastname': u'RAMZY'}], u'original': u'By AUSTIN RAMZY'}, u'document_type': u'article', u'pub_date': u'2014-11-30T00:00:00Z', u'section_name': u'World'}, {u'type_of_material': u'News', u'blog': [], u'news_desk': u'Business', u'lead_paragraph': u'To combat declining attendance, movie theaters are experimenting with more immersive and interactive experiences, including moving seats, scents and precipitation.', u'headline': {u'main': u'To Lure Young, Movie Theaters Shake, Smell and Spritz', u'print_headline': u'To Lure Young, Theaters Shake, Smell and Spritz'}, u'abstract': None, u'print_page': u'1', u'word_count': u'1058', u'_id': u'547a2c4638f0d803f445b3b9', u'snippet': u'To combat declining attendance, movie theaters are experimenting with more immersive and interactive experiences, including moving seats, scents and precipitation.', u'source': u'The New York Times', u'web_url': u'http://www.nytimes.com/2014/11/30/business/media/to-lure-young-movie-theaters-shake-smell-and-spritz.html', u'multimedia': [{u'subtype': u'wide', u'url': u'images/2014/11/30/business/JP-THEATERS1/JP-THEATERS1-thumbWide.jpg', u'height': 126, u'width': 190, u'legacy': {u'wide': u'images/2014/11/30/business/JP-THEATERS1/JP-THEATERS1-thumbWide.jpg', u'wideheight': u'126', u'widewidth': u'190'}, u'type': u'image'}, {u'subtype': u'xlarge', u'url': u'images/2014/11/30/business/JP-THEATERS1/JP-THEATERS1-articleLarge.jpg', u'height': 400, u'width': 600, u'legacy': {u'xlargewidth': u'600', u'xlarge': u'images/2014/11/30/business/JP-THEATERS1/JP-THEATERS1-articleLarge.jpg', u'xlargeheight': u'400'}, u'type': u'image'}, {u'subtype': u'thumbnail', u'url': u'images/2014/11/30/business/JP-THEATERS1/JP-THEATERS1-thumbStandard.jpg', u'height': 75, u'width': 75, u'legacy': {u'thumbnailheight': u'75', u'thumbnail': u'images/2014/11/30/business/JP-THEATERS1/JP-THEATERS1-thumbStandard.jpg', u'thumbnailwidth': u'75'}, u'type': u'image'}], u'subsection_name': u'Media', u'keywords': [{u'value': u'Movies', u'is_major': u'N', u'rank': u'1', u'name': u'subject'}, {u'value': u'Theaters (Buildings)', u'is_major': u'N', u'rank': u'2', u'name': u'subject'}, {u'value': u'Los Angeles (Calif)', u'is_major': u'N', u'rank': u'3', u'name': u'glocations'}, {u'value': u'Regal Entertainment Group', u'is_major': u'N', u'rank': u'4', u'name': u'organizations'}, {u'value': u'AMC Entertainment', u'is_major': u'N', u'rank': u'5', u'name': u'organizations'}], u'byline': {u'contributor': u'', u'person': [{u'organization': u'', u'role': u'reported', u'rank': 1, u'firstname': u'Brooks', u'lastname': u'BARNES'}], u'original': u'By BROOKS BARNES'}, u'document_type': u'article', u'pub_date': u'2014-11-30T00:00:00Z', u'section_name': u'Business Day'}], u'meta': {u'hits': 394244, u'offset': 0, u'time': 26}}, u'copyright': u'Copyright (c) 2013 The New York Times Company. All Rights Reserved.'} [{u'type_of_material': u'News', u'blog': [], u'news_desk': u'National', u'lead_paragraph': u'The president and his daughters, Malia and Sasha, visited Prose and Politics, an independent bookstore in Washington, on Saturday.', u'headline': {u'main': u'Honoring Small Business, Obamas Go Book Shopping', u'print_headline': u'Honoring Small Business, Obamas Go Book Shopping'}, u'abstract': None, u'print_page': u'24', u'word_count': u'488', u'_id': u'547a62d938f0d803f445b864', u'snippet': u'The president and his daughters, Malia and Sasha, visited Prose and Politics, an independent bookstore in Washington, on Saturday.', u'source': u'The New York Times', u'web_url': u'http://www.nytimes.com/2014/11/30/us/honoring-small-business-obamas-go-book-shopping.html', u'multimedia': [{u'subtype': u'wide', u'url': u'images/2014/11/30/us/30obama/30obama-thumbWide-v2.jpg', u'height': 126, u'width': 190, u'legacy': {u'wide': u'images/2014/11/30/us/30obama/30obama-thumbWide-v2.jpg', u'wideheight': u'126', u'widewidth': u'190'}, u'type': u'image'}, {u'subtype': u'xlarge', u'url': u'images/2014/11/30/us/30obama/30obama-articleLarge-v2.jpg', u'height': 400, u'width': 600, u'legacy': {u'xlargewidth': u'600', u'xlarge': u'images/2014/11/30/us/30obama/30obama-articleLarge-v2.jpg', u'xlargeheight': u'400'}, u'type': u'image'}, {u'subtype': u'thumbnail', u'url': u'images/2014/11/30/us/30obama/30obama-thumbStandard-v2.jpg', u'height': 75, u'width': 75, u'legacy': {u'thumbnailheight': u'75', u'thumbnail': u'images/2014/11/30/us/30obama/30obama-thumbStandard-v2.jpg', u'thumbnailwidth': u'75'}, u'type': u'image'}], u'subsection_name': None, u'keywords': [{u'value': u'Black Friday and Cyber Monday (Shopping)', u'is_major': u'N', u'rank': u'1', u'name': u'subject'}, {u'value': u'Small Business', u'is_major': u'N', u'rank': u'2', u'name': u'subject'}, {u'value': u'Obama, Barack', u'is_major': u'N', u'rank': u'3', u'name': u'persons'}, {u'value': u'Politics and Prose', u'is_major': u'N', u'rank': u'4', u'name': u'organizations'}, {u'value': u'Books and Literature', u'is_major': u'N', u'rank': u'5', u'name': u'subject'}], u'byline': {u'contributor': u'', u'person': [{u'organization': u'', u'role': u'reported', u'rank': 1, u'firstname': u'Elena', u'lastname': u'SCHNEIDER'}], u'original': u'By ELENA SCHNEIDER'}, u'document_type': u'article', u'pub_date': u'2014-11-30T00:00:00Z', u'section_name': u'U.S.'}, {u'type_of_material': u'News', u'blog': [], u'news_desk': u'National', u'lead_paragraph': u'House Republicans say Congress never appropriated money for a provision of the Affordable Care Act that offers financial assistance to low- and moderate-income people.', u'headline': {u'main': u'Suit on Health Law Puts Focus on Funding Powers ', u'print_headline': u'Suit on Health Law Puts Focus on Funding Powers'}, u'abstract': None, u'print_page': u'25', u'word_count': u'864', u'_id': u'547a4dcd38f0d803f445b69a', u'snippet': u'House Republicans say Congress never appropriated money for a provision of the Affordable Care Act that offers financial assistance to low- and moderate-income people.', u'source': u'The New York Times', u'web_url': u'http://www.nytimes.com/2014/11/30/us/politics/suit-on-health-law-puts-focus-on-funding-powers-.html', u'multimedia': [], u'subsection_name': u'Politics', u'keywords': [{u'value': u'Federal Budget (US)', u'is_major': u'N', u'rank': u'1', u'name': u'subject'}, {u'value': u'Health Insurance and Managed Care', u'is_major': u'N', u'rank': u'3', u'name': u'subject'}, {u'value': u'United States Politics and Government', u'is_major': u'N', u'rank': u'4', u'name': u'subject'}, {u'value': u'Patient Protection and Affordable Care Act (2010)', u'is_major': u'N', u'rank': u'5', u'name': u'subject'}, {u'value': u'House of Representatives', u'is_major': u'N', u'rank': u'6', u'name': u'organizations'}, {u'value': u'Federal Aid (US)', u'is_major': u'N', u'rank': u'7', u'name': u'subject'}], u'byline': {u'contributor': u'', u'person': [{u'organization': u'', u'role': u'reported', u'rank': 1, u'firstname': u'Robert', u'lastname': u'PEAR'}], u'original': u'By ROBERT PEAR'}, u'document_type': u'article', u'pub_date': u'2014-11-30T00:00:00Z', u'section_name': u'U.S.'}, {u'type_of_material': u'News', u'blog': [], u'news_desk': u'Foreign', u'lead_paragraph': u'Activists who supported the uprising that drove Hosni Mubarak from power in 2011 jeered a court ruling acquitting him on Saturday.', u'headline': {u'main': u'Egyptian Activists Protest Mubarak Verdict Online and Outside in a Sealed Tahrir Square', u'kicker': u'Open Source', u'content_kicker': u'Open Source'}, u'abstract': None, u'print_page': u'', u'word_count': u'1044', u'_id': u'547a46d238f0d803f445b602', u'snippet': u'Activists who supported the uprising that drove Hosni Mubarak from power in 2011 jeered a court ruling acquitting him on Saturday.', u'source': u'The New York Times', u'web_url': u'http://www.nytimes.com/2014/11/30/world/africa/egyptian-activists-protest-mubarak-verdict-online-and-outside-sealed-tahrir-square.html', u'multimedia': [{u'subtype': u'wide', u'url': u'images/2014/11/29/world/middleeast/29open_tahrir/29open_tahrir-thumbWide.jpg', u'height': 126, u'width': 190, u'legacy': {u'wide': u'images/2014/11/29/world/middleeast/29open_tahrir/29open_tahrir-thumbWide.jpg', u'wideheight': u'126', u'widewidth': u'190'}, u'type': u'image'}, {u'subtype': u'xlarge', u'url': u'images/2014/11/29/world/middleeast/29open_tahrir/29open_tahrir-articleLarge.jpg', u'height': 400, u'width': 600, u'legacy': {u'xlargewidth': u'600', u'xlarge': u'images/2014/11/29/world/middleeast/29open_tahrir/29open_tahrir-articleLarge.jpg', u'xlargeheight': u'400'}, u'type': u'image'}, {u'subtype': u'thumbnail', u'url': u'images/2014/11/29/world/middleeast/29open_tahrir/29open_tahrir-thumbStandard.jpg', u'height': 75, u'width': 75, u'legacy': {u'thumbnailheight': u'75', u'thumbnail': u'images/2014/11/29/world/middleeast/29open_tahrir/29open_tahrir-thumbStandard.jpg', u'thumbnailwidth': u'75'}, u'type': u'image'}], u'subsection_name': u'Africa', u'keywords': [{u'value': u'Middle East and North Africa Unrest (2010- )', u'is_major': u'N', u'rank': u'1', u'name': u'subject'}, {u'value': u'Egypt', u'is_major': u'N', u'rank': u'2', u'name': u'glocations'}, {u'value': u'Tahrir Square (Cairo)', u'is_major': u'N', u'rank': u'3', u'name': u'glocations'}, {u'value': u'Mubarak, Hosni', u'is_major': u'N', u'rank': u'4', u'name': u'persons'}], u'byline': {u'contributor': u'', u'person': [{u'organization': u'', u'role': u'reported', u'rank': 1, u'firstname': u'Robert', u'lastname': u'MACKEY'}], u'original': u'By ROBERT MACKEY'}, u'document_type': u'article', u'pub_date': u'2014-11-30T00:00:00Z', u'section_name': u'World'}, {u'type_of_material': u'News', u'blog': [], u'news_desk': u'NODESK', u'lead_paragraph': u'In taking control of nearly 70 state legislative chambers in the midterm elections, Republicans focused on recruiting women and minorities as candidates.', u'headline': {u'main': u'G.O.P. Gains by Tapping Democrats’ Base for State Candidates ', u'print_headline': u'G.O.P. Gains by Tapping Democrats\u2019 Base for State Candidates'}, u'abstract': None, u'print_page': u'22', u'word_count': u'1114', u'_id': u'547a3e7b38f0d803f445b543', u'snippet': u'In taking control of nearly 70 state legislative chambers in the midterm elections, Republicans focused on recruiting women and minorities as candidates.', u'source': u'The New York Times', u'web_url': u'http://www.nytimes.com/2014/11/30/us/gop-gains-by-tapping-democrats-base-for-state-candidates-.html', u'multimedia': [{u'subtype': u'wide', u'url': u'images/2014/11/30/us/GOPWOMEN/GOPWOMEN-thumbWide.jpg', u'height': 126, u'width': 190, u'legacy': {u'wide': u'images/2014/11/30/us/GOPWOMEN/GOPWOMEN-thumbWide.jpg', u'wideheight': u'126', u'widewidth': u'190'}, u'type': u'image'}, {u'subtype': u'xlarge', u'url': u'images/2014/11/30/us/GOPWOMEN/GOPWOMEN-articleLarge.jpg', u'height': 400, u'width': 600, u'legacy': {u'xlargewidth': u'600', u'xlarge': u'images/2014/11/30/us/GOPWOMEN/GOPWOMEN-articleLarge.jpg', u'xlargeheight': u'400'}, u'type': u'image'}, {u'subtype': u'thumbnail', u'url': u'images/2014/11/30/us/GOPWOMEN/GOPWOMEN-thumbStandard.jpg', u'height': 75, u'width': 75, u'legacy': {u'thumbnailheight': u'75', u'thumbnail': u'images/2014/11/30/us/GOPWOMEN/GOPWOMEN-thumbStandard.jpg', u'thumbnailwidth': u'75'}, u'type': u'image'}], u'subsection_name': None, u'keywords': [{u'value': u'United States Politics and Government', u'is_major': u'N', u'rank': u'1', u'name': u'subject'}, {u'value': u'Midterm Elections (2014)', u'is_major': u'N', u'rank': u'2', u'name': u'subject'}, {u'value': u'Republican Party', u'is_major': u'N', u'rank': u'3', u'name': u'organizations'}, {u'value': u'Women and Girls', u'is_major': u'N', u'rank': u'4', u'name': u'subject'}, {u'value': u'Minorities', u'is_major': u'N', u'rank': u'5', u'name': u'subject'}, {u'value': u'Martinez, Susana', u'is_major': u'N', u'rank': u'6', u'name': u'persons'}, {u'value': u'Obama, Barack', u'is_major': u'N', u'rank': u'7', u'name': u'persons'}], u'byline': {u'contributor': u'', u'person': [{u'organization': u'', u'role': u'reported', u'rank': 1, u'firstname': u'Shaila', u'lastname': u'DEWAN'}], u'original': u'By SHAILA DEWAN'}, u'document_type': u'article', u'pub_date': u'2014-11-30T00:00:00Z', u'section_name': u'U.S.'}, {u'type_of_material': u'Op-Ed', u'blog': [], u'news_desk': u'OpEd', u'lead_paragraph': u'A weekly comic strip featured in the Sunday Review.', u'headline': {u'main': u'The Strip', u'print_headline': u'The Strip'}, u'abstract': None, u'print_page': u'2', u'word_count': u'9', u'_id': u'547a2e5a38f0d803f445b3e6', u'snippet': u'A weekly comic strip featured in the Sunday Review.', u'source': u'The New York Times', u'web_url': u'http://www.nytimes.com/2014/11/30/opinion/sunday/the-strip-brian-mcfadden-comics.html', u'multimedia': [{u'subtype': u'wide', u'url': u'images/2014/11/29/opinion/the-strip-11302014/the-strip-11302014-thumbWide.png', u'height': 126, u'width': 190, u'legacy': {u'wide': u'images/2014/11/29/opinion/the-strip-11302014/the-strip-11302014-thumbWide.png', u'wideheight': u'126', u'widewidth': u'190'}, u'type': u'image'}, {u'subtype': u'xlarge', u'url': u'images/2014/11/29/opinion/the-strip-11302014/the-strip-11302014-articleLarge.png', u'height': 312, u'width': 600, u'legacy': {u'xlargewidth': u'600', u'xlarge': u'images/2014/11/29/opinion/the-strip-11302014/the-strip-11302014-articleLarge.png', u'xlargeheight': u'312'}, u'type': u'image'}, {u'subtype': u'thumbnail', u'url': u'images/2014/11/29/opinion/the-strip-11302014/the-strip-11302014-thumbStandard.png', u'height': 75, u'width': 75, u'legacy': {u'thumbnailheight': u'75', u'thumbnail': u'images/2014/11/29/opinion/the-strip-11302014/the-strip-11302014-thumbStandard.png', u'thumbnailwidth': u'75'}, u'type': u'image'}], u'subsection_name': u'Sunday Review', u'keywords': [{u'value': u'Obama, Barack', u'is_major': u'Y', u'rank': u'1', u'name': u'persons'}, {u'value': u'Comic Books and Strips', u'is_major': 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u'http://www.nytimes.com/2014/11/30/opinion/sunday/homeownership-and-wealth-creation.html', u'multimedia': [], u'subsection_name': u'Sunday Review', u'keywords': [{u'value': u'Real Estate and Housing (Residential)', u'is_major': u'N', u'rank': u'1', u'name': u'subject'}, {u'value': u'Renting and Leasing (Real Estate)', u'is_major': u'N', u'rank': u'2', u'name': u'subject'}, {u'value': u'Consumer Financial Protection Bureau', u'is_major': u'N', u'rank': u'3', u'name': u'organizations'}, {u'value': u'Consumer Protection', u'is_major': u'N', u'rank': u'4', u'name': u'subject'}, {u'value': u'House of Representatives', u'is_major': u'N', u'rank': u'5', u'name': u'organizations'}, {u'value': u'Republican Party', u'is_major': u'N', u'rank': u'6', u'name': u'organizations'}, {u'value': u'Senate', u'is_major': u'N', u'rank': u'7', u'name': u'organizations'}], u'byline': {u'contributor': u'', u'person': [], u'original': u'By THE EDITORIAL BOARD', u'organization': u'THE EDITORIAL BOARD'}, 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All Rights Reserved.'} (venv)ncl:server nkl223$ (venv)ncl:server nkl223$ python NYTimes.py {'type_of_material': u'News', 'headline': u'Restoring Lost Names, Recapturing Lost Dignity ', 'abstract': u"Dan Barry This Land column on gravedigger Lawrence Mocha, who was buried under an anonymous numbered marker on grounds of New York's Willard State Psychiatric Hospital in 1968; some 55,000 patients have been buried under such markers at psychiatric institutions across state, and advocates want to see numbers linked to names of deceased; state officials have refused efforts, citing laws protecting privacy of psychiatric patients.", 'multimedia': [{u'subtype': u'wide', u'url': u'images/2014/11/28/us/JP-LAND1/JP-LAND1-thumbWide.jpg', u'height': 126, u'width': 190, u'legacy': {u'wide': u'images/2014/11/28/us/JP-LAND1/JP-LAND1-thumbWide.jpg', u'wideheight': u'126', u'widewidth': u'190'}, u'type': u'image'}, {u'subtype': u'xlarge', u'url': u'images/2014/11/28/us/JP-LAND1/JP-LAND1-articleLarge.jpg', u'height': 392, u'width': 600, u'legacy': {u'xlargewidth': u'600', u'xlarge': u'images/2014/11/28/us/JP-LAND1/JP-LAND1-articleLarge.jpg', u'xlargeheight': u'392'}, u'type': u'image'}, {u'subtype': u'thumbnail', u'url': u'images/2014/11/28/us/JP-LAND1/JP-LAND1-thumbStandard.jpg', u'height': 75, u'width': 75, u'legacy': {u'thumbnailheight': u'75', u'thumbnail': u'images/2014/11/28/us/JP-LAND1/JP-LAND1-thumbStandard.jpg', u'thumbnailwidth': u'75'}, u'type': u'image'}], 'snippet': u'An obscure gravedigger has come to represent the 55,000 other people buried on the grounds of old psychiatric hospitals across New York State — many of them identified only by numbers.', 'web_url': u'http://www.nytimes.com/2014/11/28/us/restoring-lost-names-recapturing-lost-dignity.html', 'section_name': u'U.S.', 'keywords': [u'Cemeteries', u'Mental Health and Disorders', u'New York State', u'Mocha, Lawrence (1878-1968)', u'Willard Psychiatric Hospital', u'Hospitals', u'Monuments and Memorials (Structures)', u'Intellectual Disabilities'], '_id': u'5477ea1f38f0d854b20b2608', 'pub_date': u'20141128'} {'type_of_material': u'News', 'headline': u'Mexican Leader, Facing Protests, Promises to Overhaul Policing', 'abstract': u'Mexican Pres Enrique Pena Nieto, facing protests, proposes broad plan to revamp policing after local officials and police are implicated in disappearance and presumed murder of 43 college students; more than 1,800 municipal police forces would effectively be disbanded and come under control of state governments; federal government would have power to dissolve corrupt municipal governments.', 'multimedia': [{u'subtype': u'wide', u'url': u'images/2014/11/28/world/MEXICO/MEXICO-thumbWide.jpg', u'height': 126, u'width': 190, u'legacy': {u'wide': u'images/2014/11/28/world/MEXICO/MEXICO-thumbWide.jpg', u'wideheight': u'126', u'widewidth': u'190'}, u'type': u'image'}, {u'subtype': u'xlarge', u'url': u'images/2014/11/28/world/MEXICO/MEXICO-articleLarge.jpg', u'height': 400, u'width': 600, u'legacy': {u'xlargewidth': u'600', u'xlarge': u'images/2014/11/28/world/MEXICO/MEXICO-articleLarge.jpg', u'xlargeheight': u'400'}, u'type': u'image'}, {u'subtype': u'thumbnail', u'url': u'images/2014/11/28/world/MEXICO/MEXICO-thumbStandard.jpg', u'height': 75, u'width': 75, u'legacy': {u'thumbnailheight': u'75', u'thumbnail': u'images/2014/11/28/world/MEXICO/MEXICO-thumbStandard.jpg', u'thumbnailwidth': u'75'}, u'type': u'image'}], 'snippet': u'President Enrique Pe\xf1a Nieto\u2019s plan makes forces answerable to state and federal authorities, though observers questioned the credibility of a president who has had scandals of his own.', 'web_url': u'http://www.nytimes.com/2014/11/28/world/americas/mexican-leader-facing-protests-promises-to-overhaul-policing.html', 'section_name': u'World', 'keywords': [u'Mexico', u'Pena Nieto, Enrique', u'Missing Persons', u'Police Brutality, Misconduct and Shootings', u'Kidnapping and Hostages', u'Escuela Normal Rural Raul Isidro Burgos (Guerrero, Mexico)', u'Organized Crime', u'Corruption (Institutional)'], '_id': u'5477d87638f0d854b20b2478', 'pub_date': u'20141128'} {'type_of_material': u'News', 'headline': u'As Mexican Border Town Tries to Move On, Some Are Stuck in Limbo', 'abstract': u'Tijuana Journal: Tijuana, Mexico, is promoting itself as a city on the rise, but it has long been and remains a way station for the downtrodden heading to America or kicked out of it; El Bordo is an encampment for hundreds living in hovels, lean-tos or on the pavement, and is a catch basin for the drug addicted and the deported, sometimes both, just shy of the United States-Mexico border.', 'multimedia': [{u'subtype': u'wide', u'url': u'images/2014/11/28/world/TIJUANA01/TIJUANA01-thumbWide.jpg', u'height': 126, u'width': 190, u'legacy': {u'wide': u'images/2014/11/28/world/TIJUANA01/TIJUANA01-thumbWide.jpg', u'wideheight': u'126', u'widewidth': u'190'}, u'type': u'image'}, {u'subtype': u'xlarge', u'url': u'images/2014/11/28/world/TIJUANA01/TIJUANA01-articleLarge.jpg', u'height': 400, u'width': 600, u'legacy': {u'xlargewidth': u'600', u'xlarge': u'images/2014/11/28/world/TIJUANA01/TIJUANA01-articleLarge.jpg', u'xlargeheight': u'400'}, u'type': u'image'}, {u'subtype': u'thumbnail', u'url': u'images/2014/11/28/world/TIJUANA01/TIJUANA01-thumbStandard.jpg', u'height': 75, u'width': 75, u'legacy': {u'thumbnailheight': u'75', u'thumbnail': u'images/2014/11/28/world/TIJUANA01/TIJUANA01-thumbStandard.jpg', u'thumbnailwidth': u'75'}, u'type': u'image'}], 'snippet': u'Tijuana is promoting itself as a city on the rise, shaking off years of drug violence and declining tourism. But it remains a way station for the downtrodden heading for America or kicked out of it.', 'web_url': u'http://www.nytimes.com/2014/11/28/world/americas/a-border-limbo-for-the-displaced-at-home-in-mexico-no-more-.html', 'section_name': u'World', 'keywords': [u'Mexico', u'Tijuana (Mexico)', u'Immigration and Emigration', u'Deportation', u'Drug Abuse and Traffic', u'United States', u'Illegal Immigration'], '_id': u'5477d07e38f0d854b20b23d0', 'pub_date': u'20141128'} {'type_of_material': u'Op-Ed', 'headline': u'Remember the Sand Creek Massacre', 'abstract': u'Op-Ed article by Prof Ned Blackhawk recounts 1864 attack by Union armies on peaceful Cheyenne and Arapaho villagers at Sand Creek in Colorado, in which nearly 200 women, children and older men were murdered; holds Civil War obscures campaigns like Sand Creek Massacre and other acts of ethnic cleansing against American Indians; calls for National Day of Indigenous Remembrance and Survival to commemorate those murdered at Sand Creek.', 'multimedia': [{u'subtype': u'wide', u'url': u'images/2014/11/28/opinion/1128OPEDlarsen/1128OPEDlarsen-thumbWide.jpg', u'height': 126, u'width': 190, u'legacy': {u'wide': u'images/2014/11/28/opinion/1128OPEDlarsen/1128OPEDlarsen-thumbWide.jpg', u'wideheight': u'126', u'widewidth': u'190'}, u'type': u'image'}, {u'subtype': u'xlarge', u'url': u'images/2014/11/28/opinion/1128OPEDlarsen/1128OPEDlarsen-articleLarge.jpg', u'height': 388, u'width': 600, u'legacy': {u'xlargewidth': u'600', u'xlarge': u'images/2014/11/28/opinion/1128OPEDlarsen/1128OPEDlarsen-articleLarge.jpg', u'xlargeheight': u'388'}, u'type': u'image'}, {u'subtype': u'thumbnail', u'url': u'images/2014/11/28/opinion/1128OPEDlarsen/1128OPEDlarsen-thumbStandard.jpg', u'height': 75, u'width': 75, u'legacy': {u'thumbnailheight': u'75', u'thumbnail': u'images/2014/11/28/opinion/1128OPEDlarsen/1128OPEDlarsen-thumbStandard.jpg', u'thumbnailwidth': u'75'}, u'type': u'image'}], 'snippet': u'The 1864 murder of 200 innocent Indians is still largely forgotten.', 'web_url': u'http://www.nytimes.com/2014/11/28/opinion/remember-the-sand-creek-massacre.html', 'section_name': u'Opinion', 'keywords': [u'Native Americans', u'Civil War (US) (1861-65)', u'War Crimes, Genocide and Crimes Against Humanity', u'Navajo Indians', u'United States Defense and Military Forces', u'Chivington, John M (1821-94)', u'Connor, Patrick Edward (1820-91)', u'Soule, Silas (1838-65)', u'Evans, John (1814-97)'], '_id': u'5477b65938f0d854b20b218e', 'pub_date': u'20141128'} {'type_of_material': u'Op-Ed', 'headline': u'The Trick to Being More Virtuous', 'abstract': u'Arthur C Brooks Op-Ed article describes how he changed his behavior, and even felt happier and more courteous, after he started to use briefcase emblazoned with name of Mormon college Brigham Young University; notes it is example of psychological phenomenon known as moral elevation, emotional state that leads one to act virtuously when exposed to virtues of others; contends voters should challenge political leaders and demand climate of moral elevation.', 'multimedia': [{u'subtype': u'wide', u'url': u'images/2014/02/13/opinion/arthur-brooks/arthur-brooks-thumbWide.jpg', u'height': 126, u'width': 190, u'legacy': {u'wide': u'images/2014/02/13/opinion/arthur-brooks/arthur-brooks-thumbWide.jpg', u'wideheight': u'126', u'widewidth': u'190'}, u'type': u'image'}, {u'subtype': u'xlarge', u'url': u'images/2014/02/13/opinion/arthur-brooks/arthur-brooks-articleLarge.jpg', u'height': 600, u'width': 600, u'legacy': {u'xlargewidth': u'600', u'xlarge': u'images/2014/02/13/opinion/arthur-brooks/arthur-brooks-articleLarge.jpg', u'xlargeheight': u'600'}, u'type': u'image'}, {u'subtype': u'thumbnail', u'url': u'images/2014/02/13/opinion/arthur-brooks/arthur-brooks-thumbStandard.jpg', u'height': 75, u'width': 75, u'legacy': {u'thumbnailheight': u'75', u'thumbnail': u'images/2014/02/13/opinion/arthur-brooks/arthur-brooks-thumbStandard.jpg', u'thumbnailwidth': u'75'}, u'type': u'image'}], 'snippet': u'I was more polite when I carried the briefcase the Mormons gave me.', 'web_url': u'http://www.nytimes.com/2014/11/28/opinion/the-trick-to-being-more-virtuous.html', 'section_name': u'Opinion', 'keywords': [u'United States Politics and Government', u'Mormons (Church of Jesus Christ of Latter-Day Saints)', u'Psychology and Psychologists', u'Colleges and Universities', u'Optimism', u'Brigham Young University', u'Ethics (Personal)'], '_id': u'5477b4d338f0d854b20b216d', 'pub_date': u'20141128'}] (venv)ncl:server nkl223$ fields: snippet web_url abstract multimedia keywords pub_date type_of_material section_name headline _id

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11

a0fb2844ff0d7e2b209b9aedaeb97271e3a9bbcd

10,412

py

Python

google/ads/google_ads/v6/proto/services/offline_user_data_job_service_pb2_grpc.py

arammaliachi/google-ads-python

a4fe89567bd43eb784410523a6306b5d1dd9ee67

[ "Apache-2.0" ]

null

google/ads/google_ads/v6/proto/services/offline_user_data_job_service_pb2_grpc.py

arammaliachi/google-ads-python

a4fe89567bd43eb784410523a6306b5d1dd9ee67

[ "Apache-2.0" ]

null

google/ads/google_ads/v6/proto/services/offline_user_data_job_service_pb2_grpc.py

arammaliachi/google-ads-python

a4fe89567bd43eb784410523a6306b5d1dd9ee67

[ "Apache-2.0" ]

null

# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT! """Client and server classes corresponding to protobuf-defined services.""" import grpc from google.ads.google_ads.v6.proto.resources import offline_user_data_job_pb2 as google_dot_ads_dot_googleads_dot_v6_dot_resources_dot_offline__user__data__job__pb2 from google.ads.google_ads.v6.proto.services import offline_user_data_job_service_pb2 as google_dot_ads_dot_googleads_dot_v6_dot_services_dot_offline__user__data__job__service__pb2 from google.longrunning import operations_pb2 as google_dot_longrunning_dot_operations__pb2 class OfflineUserDataJobServiceStub(object): """Proto file describing the OfflineUserDataJobService. Service to manage offline user data jobs. """ def __init__(self, channel): """Constructor. Args: channel: A grpc.Channel. """ self.CreateOfflineUserDataJob = channel.unary_unary( '/google.ads.googleads.v6.services.OfflineUserDataJobService/CreateOfflineUserDataJob', request_serializer=google_dot_ads_dot_googleads_dot_v6_dot_services_dot_offline__user__data__job__service__pb2.CreateOfflineUserDataJobRequest.SerializeToString, response_deserializer=google_dot_ads_dot_googleads_dot_v6_dot_services_dot_offline__user__data__job__service__pb2.CreateOfflineUserDataJobResponse.FromString, ) self.GetOfflineUserDataJob = channel.unary_unary( '/google.ads.googleads.v6.services.OfflineUserDataJobService/GetOfflineUserDataJob', request_serializer=google_dot_ads_dot_googleads_dot_v6_dot_services_dot_offline__user__data__job__service__pb2.GetOfflineUserDataJobRequest.SerializeToString, response_deserializer=google_dot_ads_dot_googleads_dot_v6_dot_resources_dot_offline__user__data__job__pb2.OfflineUserDataJob.FromString, ) self.AddOfflineUserDataJobOperations = channel.unary_unary( '/google.ads.googleads.v6.services.OfflineUserDataJobService/AddOfflineUserDataJobOperations', request_serializer=google_dot_ads_dot_googleads_dot_v6_dot_services_dot_offline__user__data__job__service__pb2.AddOfflineUserDataJobOperationsRequest.SerializeToString, response_deserializer=google_dot_ads_dot_googleads_dot_v6_dot_services_dot_offline__user__data__job__service__pb2.AddOfflineUserDataJobOperationsResponse.FromString, ) self.RunOfflineUserDataJob = channel.unary_unary( '/google.ads.googleads.v6.services.OfflineUserDataJobService/RunOfflineUserDataJob', request_serializer=google_dot_ads_dot_googleads_dot_v6_dot_services_dot_offline__user__data__job__service__pb2.RunOfflineUserDataJobRequest.SerializeToString, response_deserializer=google_dot_longrunning_dot_operations__pb2.Operation.FromString, ) class OfflineUserDataJobServiceServicer(object): """Proto file describing the OfflineUserDataJobService. Service to manage offline user data jobs. """ def CreateOfflineUserDataJob(self, request, context): """Creates an offline user data job. """ context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def GetOfflineUserDataJob(self, request, context): """Returns the offline user data job. """ context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def AddOfflineUserDataJobOperations(self, request, context): """Adds operations to the offline user data job. """ context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def RunOfflineUserDataJob(self, request, context): """Runs the offline user data job. When finished, the long running operation will contain the processing result or failure information, if any. """ context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def add_OfflineUserDataJobServiceServicer_to_server(servicer, server): rpc_method_handlers = { 'CreateOfflineUserDataJob': grpc.unary_unary_rpc_method_handler( servicer.CreateOfflineUserDataJob, request_deserializer=google_dot_ads_dot_googleads_dot_v6_dot_services_dot_offline__user__data__job__service__pb2.CreateOfflineUserDataJobRequest.FromString, response_serializer=google_dot_ads_dot_googleads_dot_v6_dot_services_dot_offline__user__data__job__service__pb2.CreateOfflineUserDataJobResponse.SerializeToString, ), 'GetOfflineUserDataJob': grpc.unary_unary_rpc_method_handler( servicer.GetOfflineUserDataJob, request_deserializer=google_dot_ads_dot_googleads_dot_v6_dot_services_dot_offline__user__data__job__service__pb2.GetOfflineUserDataJobRequest.FromString, response_serializer=google_dot_ads_dot_googleads_dot_v6_dot_resources_dot_offline__user__data__job__pb2.OfflineUserDataJob.SerializeToString, ), 'AddOfflineUserDataJobOperations': grpc.unary_unary_rpc_method_handler( servicer.AddOfflineUserDataJobOperations, request_deserializer=google_dot_ads_dot_googleads_dot_v6_dot_services_dot_offline__user__data__job__service__pb2.AddOfflineUserDataJobOperationsRequest.FromString, response_serializer=google_dot_ads_dot_googleads_dot_v6_dot_services_dot_offline__user__data__job__service__pb2.AddOfflineUserDataJobOperationsResponse.SerializeToString, ), 'RunOfflineUserDataJob': grpc.unary_unary_rpc_method_handler( servicer.RunOfflineUserDataJob, request_deserializer=google_dot_ads_dot_googleads_dot_v6_dot_services_dot_offline__user__data__job__service__pb2.RunOfflineUserDataJobRequest.FromString, response_serializer=google_dot_longrunning_dot_operations__pb2.Operation.SerializeToString, ), } generic_handler = grpc.method_handlers_generic_handler( 'google.ads.googleads.v6.services.OfflineUserDataJobService', rpc_method_handlers) server.add_generic_rpc_handlers((generic_handler,)) # This class is part of an EXPERIMENTAL API. class OfflineUserDataJobService(object): """Proto file describing the OfflineUserDataJobService. Service to manage offline user data jobs. """ @staticmethod def CreateOfflineUserDataJob(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/google.ads.googleads.v6.services.OfflineUserDataJobService/CreateOfflineUserDataJob', google_dot_ads_dot_googleads_dot_v6_dot_services_dot_offline__user__data__job__service__pb2.CreateOfflineUserDataJobRequest.SerializeToString, google_dot_ads_dot_googleads_dot_v6_dot_services_dot_offline__user__data__job__service__pb2.CreateOfflineUserDataJobResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def GetOfflineUserDataJob(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/google.ads.googleads.v6.services.OfflineUserDataJobService/GetOfflineUserDataJob', google_dot_ads_dot_googleads_dot_v6_dot_services_dot_offline__user__data__job__service__pb2.GetOfflineUserDataJobRequest.SerializeToString, google_dot_ads_dot_googleads_dot_v6_dot_resources_dot_offline__user__data__job__pb2.OfflineUserDataJob.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def AddOfflineUserDataJobOperations(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/google.ads.googleads.v6.services.OfflineUserDataJobService/AddOfflineUserDataJobOperations', google_dot_ads_dot_googleads_dot_v6_dot_services_dot_offline__user__data__job__service__pb2.AddOfflineUserDataJobOperationsRequest.SerializeToString, google_dot_ads_dot_googleads_dot_v6_dot_services_dot_offline__user__data__job__service__pb2.AddOfflineUserDataJobOperationsResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def RunOfflineUserDataJob(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/google.ads.googleads.v6.services.OfflineUserDataJobService/RunOfflineUserDataJob', google_dot_ads_dot_googleads_dot_v6_dot_services_dot_offline__user__data__job__service__pb2.RunOfflineUserDataJobRequest.SerializeToString, google_dot_longrunning_dot_operations__pb2.Operation.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata)

56.586957

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1,038

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0.07203

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0.787084

0.725128

0.711329

0.672692

0

0.007606

0.191894

10,412

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191

56.896175

0.853696

0.077027

0

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false

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null

0

1

0

1

0

null

0

7

19bd0b37c3c8bef04b29f7f352090bddd3571a83

11,482

py

Python

src/capsNet_arch.py

LeanderLXZ/oracle-recognition

c82976333d4a72218b06fffc94192238d95fcf9e

[ "Apache-2.0" ]

1

2022-02-08T09:33:16.000Z

src/capsNet_arch.py

LeanderLXZ/oracle-recognition

c82976333d4a72218b06fffc94192238d95fcf9e

[ "Apache-2.0" ]

null

src/capsNet_arch.py

LeanderLXZ/oracle-recognition

c82976333d4a72218b06fffc94192238d95fcf9e

[ "Apache-2.0" ]

null

from __future__ import absolute_import from __future__ import division from __future__ import print_function from models.layers import * from models.capsule_layers import * def conv_block(model, cfg, conv_size, conv_stride, conv_depth, conv_padding='VALID', act_fn='relu', use_max_pool=False, use_avg_pool=False, pool_size=None, pool_strides=None, pool_padding='VALID', use_batch_norm=False, is_training=None, idx=0): model.add(ConvLayer( cfg, kernel_size=conv_size, stride=conv_stride, n_kernel=conv_depth, padding=conv_padding, act_fn=None if use_batch_norm else act_fn, idx=idx )) if use_max_pool: model.add(MaxPool( cfg, pool_size=pool_size, strides=pool_strides, padding=pool_padding, idx=idx )) if use_avg_pool: model.add(AveragePool( cfg, pool_size=pool_size, strides=pool_strides, padding=pool_padding, idx=idx )) if use_batch_norm: model.add(BatchNorm( cfg, is_training=is_training, momentum=0.99, act_fn=act_fn, idx=idx)) def classifier(inputs, cfg, batch_size=None, is_training=None): if cfg.DATABASE_NAME == 'radical': num_classes = cfg.NUM_RADICALS else: num_classes = 10 model = Sequential(inputs) model.add(ConvLayer( cfg, kernel_size=9, stride=1, n_kernel=256, padding='VALID', act_fn='relu', idx=0 )) model.add(Conv2CapsLayer( cfg, kernel_size=9, stride=2, n_kernel=32, vec_dim=8, padding='VALID', batch_size=batch_size )) model.add(CapsLayer( cfg, num_caps=num_classes, vec_dim=16, route_epoch=3, batch_size=batch_size, idx=0 )) return model.top_layer, model.info def decoder(inputs, cfg, batch_size=None, is_training=None): model = Sequential(inputs) act_fn_last = None if cfg.REC_LOSS == 'ce' else 'relu' if cfg.DATABASE_NAME == 'radical': if cfg.DECODER_TYPE == 'fc': model.add(DenseLayer( cfg, out_dim=512, act_fn='relu', idx=0)) model.add(BatchNorm( cfg, is_training, momentum=0.99, act_fn='relu', idx=0)) model.add(DenseLayer( cfg, out_dim=1024, act_fn='relu', idx=1)) model.add(BatchNorm( cfg, is_training, momentum=0.99, act_fn='relu', idx=1)) model.add(DenseLayer( cfg, out_dim=28*28, act_fn=act_fn_last, idx=2)) model.add(BatchNorm( cfg, is_training, momentum=0.99, act_fn=act_fn_last, idx=2)) elif cfg.DECODER_TYPE == 'conv': model.add(Reshape( # (b, 4, 4, 1) (batch_size, 4, 4, -1), name='reshape')) model.add(ConvLayer( # (b, 8, 8, 16) cfg, kernel_size=3, stride=1, n_kernel=16, resize=8, act_fn=None, idx=0)) model.add(BatchNorm( cfg, is_training, momentum=0.99, act_fn='relu', idx=0)) model.add(ConvLayer( # (b, 16, 16, 32) cfg, kernel_size=3, stride=1, n_kernel=32, resize=16, act_fn=None, idx=1)) model.add(BatchNorm( cfg, is_training, momentum=0.99, act_fn='relu', idx=1)) model.add(ConvLayer( # (b, 32, 32, 16) cfg, kernel_size=3, stride=1, n_kernel=16, resize=32, act_fn=None, idx=2)) model.add(BatchNorm( cfg, is_training, momentum=0.99, act_fn='relu', idx=2)) model.add(ConvLayer( # (b, 32, 32, 1) cfg, kernel_size=3, stride=1, n_kernel=1, resize=32, padding='SAME', act_fn=None, idx=3)) model.add(BatchNorm( cfg, is_training, momentum=0.99, act_fn=act_fn_last, idx=3)) elif cfg.DECODER_TYPE == 'conv_t': model.add(Reshape( (batch_size, 1, 1, -1), name='reshape')) model.add(ConvTLayer( cfg, kernel_size=4, stride=1, n_kernel=16, output_shape=[batch_size, 4, 4, 16], padding='VALID', act_fn=None, idx=0)) model.add(BatchNorm( cfg, is_training, momentum=0.99, act_fn='relu', idx=0)) model.add(ConvTLayer( cfg, kernel_size=9, stride=1, n_kernel=32, output_shape=[batch_size, 12, 12, 32], padding='VALID', act_fn=None, idx=1)) model.add(BatchNorm( cfg, is_training, momentum=0.99, act_fn='relu', idx=1)) model.add(ConvTLayer( cfg, kernel_size=9, stride=1, n_kernel=16, output_shape=[batch_size, 20, 20, 16], padding='VALID', act_fn=None, idx=2)) model.add(BatchNorm( cfg, is_training, momentum=0.99, act_fn='relu', idx=2)) model.add(ConvTLayer( cfg, kernel_size=9, stride=1, n_kernel=8, output_shape=[batch_size, 28, 28, 8], padding='VALID', act_fn=None, idx=3)) model.add(BatchNorm( cfg, is_training, momentum=0.99, act_fn='relu', idx=3)) model.add(ConvTLayer( cfg, kernel_size=3, stride=1, n_kernel=1, output_shape=[batch_size, 28, 28, 1], padding='SAME', act_fn=act_fn_last, idx=4)) else: raise ValueError('Wrong decoder type!') elif cfg.DATABASE_NAME == 'mnist': if cfg.DECODER_TYPE == 'fc': model.add(DenseLayer( cfg, out_dim=512, idx=0)) model.add(DenseLayer( cfg, out_dim=1024, idx=1)) model.add(DenseLayer( cfg, out_dim=784, act_fn=act_fn_last, idx=2)) elif cfg.DECODER_TYPE == 'conv': model.add(Reshape( # (b, 4, 4, 1) (batch_size, 4, 4, -1), name='reshape')) model.add(ConvLayer( # (b, 8, 8, 16) cfg, kernel_size=3, stride=1, n_kernel=16, idx=0)) model.add(ConvLayer( # (b, 16, 16, 32) cfg, kernel_size=3, stride=1, n_kernel=32, resize=16, idx=1)) model.add(ConvLayer( # (b, 32, 32, 16) cfg, kernel_size=3, stride=1, n_kernel=16, resize=32, idx=2)) model.add(ConvLayer( # (b, 32, 32, 3) cfg, kernel_size=3, stride=1, n_kernel=3, act_fn=act_fn_last, idx=3)) elif cfg.DECODER_TYPE == 'conv_t': model.add(Reshape( (batch_size, 1, 1, -1), name='reshape')) model.add(ConvTLayer( cfg, kernel_size=4, stride=1, n_kernel=16, output_shape=[batch_size, 4, 4, 16], padding='VALID', act_fn=None, idx=0)) model.add(BatchNorm( cfg, is_training, momentum=0.99, act_fn='relu', idx=0)) model.add(ConvTLayer( cfg, kernel_size=9, stride=1, n_kernel=32, output_shape=[batch_size, 12, 12, 32], padding='VALID', act_fn=None, idx=1)) model.add(BatchNorm( cfg, is_training, momentum=0.99, act_fn='relu', idx=1)) model.add(ConvTLayer( cfg, kernel_size=9, stride=1, n_kernel=16, output_shape=[batch_size, 20, 20, 16], padding='VALID', act_fn=None, idx=2)) model.add(BatchNorm( cfg, is_training, momentum=0.99, act_fn='relu', idx=2)) model.add(ConvTLayer( cfg, kernel_size=9, stride=1, n_kernel=8, output_shape=[batch_size, 28, 28, 8], padding='VALID', act_fn=None, idx=3)) model.add(BatchNorm( cfg, is_training, momentum=0.99, act_fn='relu', idx=3)) model.add(ConvTLayer( cfg, kernel_size=3, stride=1, n_kernel=1, output_shape=[batch_size, 28, 28, 1], act_fn=act_fn_last, idx=4)) else: raise ValueError('Wrong decoder type!') elif cfg.DATABASE_NAME == 'cifar10': if cfg.DECODER_TYPE == 'fc': model.add(DenseLayer( cfg, out_dim=2048, idx=0)) model.add(DenseLayer( cfg, out_dim=4096, idx=1)) model.add(DenseLayer( cfg, out_dim=3072, act_fn=act_fn_last, idx=2)) elif cfg.DECODER_TYPE == 'conv': model.add(Reshape( # (b, 4, 4, 1) (batch_size, 4, 4, -1), name='reshape')) model.add(ConvLayer( # (b, 8, 8, 16) cfg, kernel_size=3, stride=1, n_kernel=16, idx=0)) model.add(ConvLayer( # (b, 16, 16, 32) cfg, kernel_size=3, stride=1, n_kernel=32, resize=16, idx=1)) model.add(ConvLayer( # (b, 32, 32, 16) cfg, kernel_size=3, stride=1, n_kernel=16, resize=32, idx=2)) model.add(ConvLayer( # (b, 32, 32, 3) cfg, kernel_size=3, stride=1, n_kernel=3, act_fn=act_fn_last, idx=3)) elif cfg.DECODER_TYPE == 'conv_t': model.add(Reshape( (batch_size, 1, 1, -1), name='reshape')) model.add(ConvTLayer( cfg, kernel_size=4, stride=1, n_kernel=16, output_shape=[batch_size, 4, 4, 16], padding='VALID', act_fn=None, idx=0)) model.add(BatchNorm( cfg, is_training, momentum=0.99, act_fn='relu', idx=0)) model.add(ConvTLayer( cfg, kernel_size=9, stride=1, n_kernel=32, output_shape=[batch_size, 12, 12, 32], padding='VALID', act_fn=None, idx=1)) model.add(BatchNorm( cfg, is_training, momentum=0.99, act_fn='relu', idx=1)) model.add(ConvTLayer( cfg, kernel_size=9, stride=1, n_kernel=16, output_shape=[batch_size, 20, 20, 16], padding='VALID', act_fn=None, idx=2)) model.add(BatchNorm( cfg, is_training, momentum=0.99, act_fn='relu', idx=2)) model.add(ConvTLayer( cfg, kernel_size=9, stride=1, n_kernel=8, output_shape=[batch_size, 28, 28, 8], padding='VALID', act_fn=None, idx=3)) model.add(BatchNorm( cfg, is_training, momentum=0.99, act_fn='relu', idx=3)) model.add(ConvTLayer( cfg, kernel_size=5, stride=1, n_kernel=3, output_shape=[batch_size, 32, 32, 3], padding='VALID', act_fn=act_fn_last, idx=4)) else: raise ValueError('Wrong decoder type!') else: raise ValueError('Wrong database name!') return model.top_layer, model.info caps_arch = { 'classifier': classifier, 'decoder': decoder }

25.86036

71

0.514109

1,468

11,482

3.826975

0.075613

0.096832

0.06942

0.069776

0.838021

0.815949

0.792275

0.782841

0.742613

0.721609

0

0.061461

0.360913

11,482

443

72

25.918736

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false

0

0.012048

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0

null

0

1

0

1

0

null

0

7

19e2ac7872bbafbe6df1586ff5ada49f3e1552a3

47

py

Python

src/kinematics_from_description/__init__.py

LSinterbotix/kinematics_from_description

c53893dbc289f959db907814e5cd2069c0ff94d3

[ "BSD-2-Clause" ]

2

2022-01-13T19:16:32.000Z

2022-03-05T01:39:54.000Z

src/kinematics_from_description/__init__.py

LSinterbotix/kinematics_from_description

c53893dbc289f959db907814e5cd2069c0ff94d3

[ "BSD-2-Clause" ]

null

src/kinematics_from_description/__init__.py

LSinterbotix/kinematics_from_description

c53893dbc289f959db907814e5cd2069c0ff94d3

[ "BSD-2-Clause" ]

null

from .kfd import KinematicsFromDescriptionTool

23.5

46

0.893617

4

47

10.5

1

0

0.085106

47

1

47

0.976744

0

1

0

true

0

1

0

1

0

1

null

0

1

0

null

0

1

0

1

0

1

0

7

19e66e673eabf0690e15636e2cecffb2c335056f

74

py

Python

snlp/mwes/__init__.py

meghdadFar/snlp

deb37b12bc5112b74d0bf8187f47b5d36bf6b943

[ "MIT" ]

4

2021-01-12T15:16:16.000Z

2021-08-06T08:38:35.000Z

snlp/mwes/__init__.py

meghdadFar/snlp

deb37b12bc5112b74d0bf8187f47b5d36bf6b943

[ "MIT" ]

null

snlp/mwes/__init__.py

meghdadFar/snlp

deb37b12bc5112b74d0bf8187f47b5d36bf6b943

[ "MIT" ]

null

from snlp.mwes.mwe_utils import replace_mwes from snlp.mwes.mwe import MWE

37

44

0.851351

14

74

4.357143

0.5

0.262295

0.393443

0.491803

0

0.094595

74

2

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37

0.910448

0

1

0

true

0

1

0

1

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1

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null

1

0

1

0

null

0

1

0

1

0

7

19eac500a092837d55140ebbe1416a3a1fb17b6a

2,672

py

Python

test/pyaz/sql/vm/group/ag_listener/__init__.py

bigdatamoore/py-az-cli

54383a4ee7cc77556f6183e74e992eec95b28e01

[ "MIT" ]

null

test/pyaz/sql/vm/group/ag_listener/__init__.py

bigdatamoore/py-az-cli

54383a4ee7cc77556f6183e74e992eec95b28e01

[ "MIT" ]

9

2021-09-24T16:37:24.000Z

2021-12-24T00:39:19.000Z

test/pyaz/sql/vm/group/ag_listener/__init__.py

bigdatamoore/py-az-cli

54383a4ee7cc77556f6183e74e992eec95b28e01

[ "MIT" ]

null

import json, subprocess from ..... pyaz_utils import get_cli_name, get_params def update(resource_group, group_name, name, sqlvms=None, set=None, add=None, remove=None, force_string=None): params = get_params(locals()) command = "az sql vm group ag-listener update " + params print(command) output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) stdout = output.stdout.decode("utf-8") stderr = output.stderr.decode("utf-8") if stdout: return json.loads(stdout) print(stdout) else: raise Exception(stderr) print(stderr) def show(resource_group, group_name, name): params = get_params(locals()) command = "az sql vm group ag-listener show " + params print(command) output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) stdout = output.stdout.decode("utf-8") stderr = output.stderr.decode("utf-8") if stdout: return json.loads(stdout) print(stdout) else: raise Exception(stderr) print(stderr) def list(resource_group, group_name): params = get_params(locals()) command = "az sql vm group ag-listener list " + params print(command) output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) stdout = output.stdout.decode("utf-8") stderr = output.stderr.decode("utf-8") if stdout: return json.loads(stdout) print(stdout) else: raise Exception(stderr) print(stderr) def delete(resource_group, group_name, name, yes=None): params = get_params(locals()) command = "az sql vm group ag-listener delete " + params print(command) output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) stdout = output.stdout.decode("utf-8") stderr = output.stderr.decode("utf-8") if stdout: return json.loads(stdout) print(stdout) else: raise Exception(stderr) print(stderr) def create(name, group_name, resource_group, ag_name, ip_address, subnet, load_balancer, probe_port, sqlvms, port=None, public_ip=None, vnet_name=None): params = get_params(locals()) command = "az sql vm group ag-listener create " + params print(command) output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) stdout = output.stdout.decode("utf-8") stderr = output.stderr.decode("utf-8") if stdout: return json.loads(stdout) print(stdout) else: raise Exception(stderr) print(stderr)

36.108108

152

0.66729

342

2,672

5.137427

0.172515

0.079681

0.056915

0.059761

0.840068

0.797951

0

0.004778

0.216692

2,672

73

153

36.60274

0.834687

0

0.820896

0

0.08271

0

1

0.074627

false

0

0.029851

0

0.179104

0.223881

0

null

0

1

0

1

0

null

0

7

dfaa0ef780ff2fdd8fd4e9b882802bbe79088d2b

791

py

Python

tests/s3_test.py

cyrusradfar/vaex

6a37bd4509c9a0823b4f01075049f3331fabea77

[ "MIT" ]

1

2020-08-31T17:53:01.000Z

tests/s3_test.py

cyrusradfar/vaex

6a37bd4509c9a0823b4f01075049f3331fabea77

[ "MIT" ]

null

tests/s3_test.py

cyrusradfar/vaex

6a37bd4509c9a0823b4f01075049f3331fabea77

[ "MIT" ]

null

import vaex import os import pytest @pytest.mark.skipif(vaex.utils.devmode, reason='runs too slow when developing') def test_s3(): df = vaex.open('s3://vaex/testing/xys.hdf5?cache=false&anon=true') assert df.x.tolist() == [1, 2] assert df.y.tolist() == [3, 4] assert df.s.tolist() == ['5', '6'] df = vaex.open('s3://vaex/testing/xys.hdf5?cache=true&anon=true') assert df.x.tolist() == [1, 2] assert df.y.tolist() == [3, 4] assert df.s.tolist() == ['5', '6'] @pytest.mark.skipif(vaex.utils.devmode, reason='runs too slow when developing') def test_s3_masked(): df = vaex.open('s3://vaex/testing/xys-masked.hdf5?cache=false&anon=true') assert df.x.tolist() == [1, None] assert df.y.tolist() == [None, 4] assert df.s.tolist() == ['5', None]

31.64

79

0.624526

128

791

3.835938

0.304688

0.14664

0.0611

0.07332

0.851324

0.816701

0.763747

0.639511

0

0.034743

0.163085

791

24

80

32.958333

0.706949

0

0.421053

0

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1

0.105263

false

0

0.157895

0

0.263158

0

null

0

1

0

null

0

1

0

7

dfb5a3ad041c33adf074240c919144732a3027a6

542

py

Python

src/algoritmia/problems/spanningtrees/__init__.py

DavidLlorens/algoritmia

40ca0a89ea6de9b633fa5f697f0a28cae70816a2

[ "MIT" ]

6

2018-09-15T15:09:10.000Z

2022-02-27T01:23:11.000Z

src/algoritmia/problems/spanningtrees/__init__.py

JeromeIllgner/algoritmia

406afe7206f2411557859bf03480c16db7dcce0d

[ "MIT" ]

null

src/algoritmia/problems/spanningtrees/__init__.py

JeromeIllgner/algoritmia

406afe7206f2411557859bf03480c16db7dcce0d

[ "MIT" ]

5

2018-07-10T20:19:55.000Z

2021-03-31T03:32:22.000Z

from algoritmia.problems.spanningtrees.interfaces import ISpanningForestFinder, ISpanningTreeFinder from algoritmia.problems.spanningtrees.graphtraversal import GraphTraversalSpanningForestFinder, GraphTraversalSpanningTreeFinder from algoritmia.problems.spanningtrees.baruvka import BaruvkasMinimumSpanningForestFinder from algoritmia.problems.spanningtrees.prim import PrimsMinimumSpanningFinder, PrimsWithPriorityQueueMinimumSpanningTreeFinder from algoritmia.problems.spanningtrees.kruskal import KruskalsMinimumSpanningForestFinder

90.333333

130

0.915129

38

542

13.052632

0.473684

0.141129

0.221774

0.352823

0

0.051661

542

5

131

108.4

0.964981

0

1

0

true

0

1

0

1

0

1

null

0

1

0

1

0

1

0

null

0

1

0

1

0

1

0

8

dfb5c1db99873b9d6964de368ee5ad308880173d

180

py

Python

gallery/stream/code_tests.py

arvkevi/awesome-streamlit

be454e29c35a9a1a760b1737a5176a47f4f9717b

[ "CC0-1.0" ]

1,194

2019-10-09T06:15:27.000Z

2022-03-31T14:53:00.000Z

gallery/stream/code_tests.py

arvkevi/awesome-streamlit

be454e29c35a9a1a760b1737a5176a47f4f9717b

[ "CC0-1.0" ]

55

2019-10-09T12:08:39.000Z

2022-02-10T00:48:53.000Z

gallery/stream/code_tests.py

arvkevi/awesome-streamlit

be454e29c35a9a1a760b1737a5176a47f4f9717b

[ "CC0-1.0" ]

272

2019-10-09T12:04:31.000Z

2022-03-29T02:43:30.000Z

create_dir_structure(top_dir="C:\\Users\\Fred\\Documents\\_Programming\\Python\\stream\\tmp") create_pages(top_dir="C:\\Users\\Fred\\Documents\\_Programming\\Python\\stream\\tmp")

60

93

0.766667

25

180

5.24

0.52

0.091603

0.10687

0.183206

0.778626

0

0.011111

180

2

94

90

0.735955

0

0.677778

0

1

0

true

0

1

0

null

0

1

0

1

0

1

0

1

null

0

1

0

11

5f2822dc34cb21189ec1ffd2c966d6a614bd6a98

48

py

Python

Florence/LegendreTransform/__init__.py

jdlaubrie/florence

830dca4a34be00d6e53cbec3007c10d438b27f57

[ "MIT" ]

65

2017-08-04T10:21:13.000Z

2022-02-21T21:45:09.000Z

Florence/LegendreTransform/__init__.py

jdlaubrie/florence

830dca4a34be00d6e53cbec3007c10d438b27f57

[ "MIT" ]

6

2018-06-03T02:29:20.000Z

2022-01-18T02:30:22.000Z

Florence/LegendreTransform/__init__.py

jdlaubrie/florence

830dca4a34be00d6e53cbec3007c10d438b27f57

[ "MIT" ]

10

2018-05-30T09:44:10.000Z

2021-05-18T08:06:51.000Z

from .LegendreTransform import LegendreTransform

48

0.916667

4

48

11

0.75

0

0.0625

48

1

48

0.977778

0

1

0

true

0

1

0

1

0

1

null

0

1

0

null

0

1

0

1

0

1

0

7

5f32dfb81d2a79de42eb0d457238ca7aec3a5427

14,974

py

Python

test/test_BoundaryTimespanMaker.py

josiah-wolf-oberholtzer/consort

6c7d511835d5ad883ad1ad52ae9cd48c4a7b5571

[ "MIT" ]

9

2015-02-11T09:35:40.000Z

2019-04-29T23:57:49.000Z

test/test_BoundaryTimespanMaker.py

josiah-wolf-oberholtzer/consort

6c7d511835d5ad883ad1ad52ae9cd48c4a7b5571

[ "MIT" ]

2

2016-02-07T18:54:47.000Z

2017-08-10T01:38:01.000Z

test/test_BoundaryTimespanMaker.py

josiah-wolf-oberholtzer/consort

6c7d511835d5ad883ad1ad52ae9cd48c4a7b5571

[ "MIT" ]

1

2019-05-13T12:37:15.000Z

import abjad import consort import collections from abjad.tools import systemtools from abjad.tools import timespantools def _make_timespan_inventory(): timespan_inventory = abjad.TimespanList([ consort.PerformedTimespan( start_offset=0, stop_offset=20, voice_name='A', ), consort.PerformedTimespan( music_specifier=consort.MusicSpecifier( labels=('labeled',), ), start_offset=20, stop_offset=40, voice_name='A', ), consort.PerformedTimespan( music_specifier=consort.MusicSpecifier( labels=('labeled',), ), start_offset=25, stop_offset=50, voice_name='B', ), consort.PerformedTimespan( music_specifier=consort.MusicSpecifier( labels=('labeled',), ), start_offset=60, stop_offset=80, voice_name='A', ), consort.PerformedTimespan( start_offset=65, stop_offset=100, voice_name='B', ), ]) timespan_inventory.sort() return timespan_inventory def test_BoundarTimespanMaker_01(): timespan_inventory = _make_timespan_inventory() assert format(timespan_inventory) == abjad.String.normalize( r''' abjad.TimespanList( [ consort.tools.PerformedTimespan( start_offset=abjad.Offset(0, 1), stop_offset=abjad.Offset(20, 1), voice_name='A', ), consort.tools.PerformedTimespan( start_offset=abjad.Offset(20, 1), stop_offset=abjad.Offset(40, 1), music_specifier=consort.tools.MusicSpecifier( labels=('labeled',), ), voice_name='A', ), consort.tools.PerformedTimespan( start_offset=abjad.Offset(25, 1), stop_offset=abjad.Offset(50, 1), music_specifier=consort.tools.MusicSpecifier( labels=('labeled',), ), voice_name='B', ), consort.tools.PerformedTimespan( start_offset=abjad.Offset(60, 1), stop_offset=abjad.Offset(80, 1), music_specifier=consort.tools.MusicSpecifier( labels=('labeled',), ), voice_name='A', ), consort.tools.PerformedTimespan( start_offset=abjad.Offset(65, 1), stop_offset=abjad.Offset(100, 1), voice_name='B', ), ] ) ''') def test_BoundaryTimespanMaker_02(): music_specifiers = collections.OrderedDict([ ('C', None), ]) target_timespan = abjad.Timespan(0, 100) timespan_maker = consort.BoundaryTimespanMaker( start_talea=5, stop_talea=5, voice_names=( 'A', 'B', ), ) timespan_inventory = timespan_maker( target_timespan=target_timespan, music_specifiers=music_specifiers, timespan_inventory=_make_timespan_inventory(), ) assert format(timespan_inventory) == abjad.String.normalize( r''' abjad.TimespanList( [ consort.tools.PerformedTimespan( start_offset=abjad.Offset(0, 1), stop_offset=abjad.Offset(5, 1), voice_name='C', ), consort.tools.PerformedTimespan( start_offset=abjad.Offset(0, 1), stop_offset=abjad.Offset(20, 1), voice_name='A', ), consort.tools.PerformedTimespan( start_offset=abjad.Offset(20, 1), stop_offset=abjad.Offset(40, 1), music_specifier=consort.tools.MusicSpecifier( labels=('labeled',), ), voice_name='A', ), consort.tools.PerformedTimespan( start_offset=abjad.Offset(25, 1), stop_offset=abjad.Offset(50, 1), music_specifier=consort.tools.MusicSpecifier( labels=('labeled',), ), voice_name='B', ), consort.tools.PerformedTimespan( start_offset=abjad.Offset(50, 1), stop_offset=abjad.Offset(55, 1), voice_name='C', ), consort.tools.PerformedTimespan( start_offset=abjad.Offset(60, 1), stop_offset=abjad.Offset(65, 1), voice_name='C', ), consort.tools.PerformedTimespan( start_offset=abjad.Offset(60, 1), stop_offset=abjad.Offset(80, 1), music_specifier=consort.tools.MusicSpecifier( labels=('labeled',), ), voice_name='A', ), consort.tools.PerformedTimespan( start_offset=abjad.Offset(65, 1), stop_offset=abjad.Offset(100, 1), voice_name='B', ), consort.tools.PerformedTimespan( start_offset=abjad.Offset(100, 1), stop_offset=abjad.Offset(105, 1), voice_name='C', ), ] ) ''') def test_BoundaryTimespanMaker_03(): music_specifiers = collections.OrderedDict([ ('C', None), ]) target_timespan = abjad.Timespan(0, 100) timespan_maker = consort.BoundaryTimespanMaker( labels=['labeled'], start_talea=5, stop_talea=5, voice_names=( 'A', 'B', ), ) timespan_inventory = timespan_maker( target_timespan=target_timespan, music_specifiers=music_specifiers, timespan_inventory=_make_timespan_inventory(), ) assert format(timespan_inventory) == abjad.String.normalize( r''' abjad.TimespanList( [ consort.tools.PerformedTimespan( start_offset=abjad.Offset(0, 1), stop_offset=abjad.Offset(20, 1), voice_name='A', ), consort.tools.PerformedTimespan( start_offset=abjad.Offset(20, 1), stop_offset=abjad.Offset(25, 1), voice_name='C', ), consort.tools.PerformedTimespan( start_offset=abjad.Offset(20, 1), stop_offset=abjad.Offset(40, 1), music_specifier=consort.tools.MusicSpecifier( labels=('labeled',), ), voice_name='A', ), consort.tools.PerformedTimespan( start_offset=abjad.Offset(25, 1), stop_offset=abjad.Offset(50, 1), music_specifier=consort.tools.MusicSpecifier( labels=('labeled',), ), voice_name='B', ), consort.tools.PerformedTimespan( start_offset=abjad.Offset(50, 1), stop_offset=abjad.Offset(55, 1), voice_name='C', ), consort.tools.PerformedTimespan( start_offset=abjad.Offset(60, 1), stop_offset=abjad.Offset(65, 1), voice_name='C', ), consort.tools.PerformedTimespan( start_offset=abjad.Offset(60, 1), stop_offset=abjad.Offset(80, 1), music_specifier=consort.tools.MusicSpecifier( labels=('labeled',), ), voice_name='A', ), consort.tools.PerformedTimespan( start_offset=abjad.Offset(65, 1), stop_offset=abjad.Offset(100, 1), voice_name='B', ), consort.tools.PerformedTimespan( start_offset=abjad.Offset(80, 1), stop_offset=abjad.Offset(85, 1), voice_name='C', ), ] ) ''') def test_BoundaryTimespanMaker_04(): music_specifiers = collections.OrderedDict([ ('C', None), ]) target_timespan = abjad.Timespan(0, 100) timespan_maker = consort.BoundaryTimespanMaker( start_talea=5, stop_talea=15, voice_names=( 'A', 'B', ), ) timespan_inventory = timespan_maker( target_timespan=target_timespan, music_specifiers=music_specifiers, timespan_inventory=_make_timespan_inventory(), ) assert format(timespan_inventory) == abjad.String.normalize( r''' abjad.TimespanList( [ consort.tools.PerformedTimespan( start_offset=abjad.Offset(0, 1), stop_offset=abjad.Offset(5, 1), voice_name='C', ), consort.tools.PerformedTimespan( start_offset=abjad.Offset(0, 1), stop_offset=abjad.Offset(20, 1), voice_name='A', ), consort.tools.PerformedTimespan( start_offset=abjad.Offset(20, 1), stop_offset=abjad.Offset(40, 1), music_specifier=consort.tools.MusicSpecifier( labels=('labeled',), ), voice_name='A', ), consort.tools.PerformedTimespan( start_offset=abjad.Offset(25, 1), stop_offset=abjad.Offset(50, 1), music_specifier=consort.tools.MusicSpecifier( labels=('labeled',), ), voice_name='B', ), consort.tools.PerformedTimespan( start_offset=abjad.Offset(50, 1), stop_offset=abjad.Offset(65, 1), voice_name='C', ), consort.tools.PerformedTimespan( start_offset=abjad.Offset(60, 1), stop_offset=abjad.Offset(80, 1), music_specifier=consort.tools.MusicSpecifier( labels=('labeled',), ), voice_name='A', ), consort.tools.PerformedTimespan( start_offset=abjad.Offset(65, 1), stop_offset=abjad.Offset(100, 1), voice_name='B', ), consort.tools.PerformedTimespan( start_offset=abjad.Offset(100, 1), stop_offset=abjad.Offset(115, 1), voice_name='C', ), ] ) ''') def test_BoundaryTimespanMaker_05(): music_specifiers = collections.OrderedDict([ ('C', None), ]) target_timespan = abjad.Timespan(0, 100) timespan_maker = consort.BoundaryTimespanMaker( start_talea=5, stop_talea=5, labels=['labeled'], ) timespan_inventory = timespan_maker( target_timespan=target_timespan, music_specifiers=music_specifiers, timespan_inventory=_make_timespan_inventory(), ) assert format(timespan_inventory) == abjad.String.normalize( r''' abjad.TimespanList( [ consort.tools.PerformedTimespan( start_offset=abjad.Offset(0, 1), stop_offset=abjad.Offset(20, 1), voice_name='A', ), consort.tools.PerformedTimespan( start_offset=abjad.Offset(20, 1), stop_offset=abjad.Offset(25, 1), voice_name='C', ), consort.tools.PerformedTimespan( start_offset=abjad.Offset(20, 1), stop_offset=abjad.Offset(40, 1), music_specifier=consort.tools.MusicSpecifier( labels=('labeled',), ), voice_name='A', ), consort.tools.PerformedTimespan( start_offset=abjad.Offset(25, 1), stop_offset=abjad.Offset(50, 1), music_specifier=consort.tools.MusicSpecifier( labels=('labeled',), ), voice_name='B', ), consort.tools.PerformedTimespan( start_offset=abjad.Offset(50, 1), stop_offset=abjad.Offset(55, 1), voice_name='C', ), consort.tools.PerformedTimespan( start_offset=abjad.Offset(60, 1), stop_offset=abjad.Offset(65, 1), voice_name='C', ), consort.tools.PerformedTimespan( start_offset=abjad.Offset(60, 1), stop_offset=abjad.Offset(80, 1), music_specifier=consort.tools.MusicSpecifier( labels=('labeled',), ), voice_name='A', ), consort.tools.PerformedTimespan( start_offset=abjad.Offset(65, 1), stop_offset=abjad.Offset(100, 1), voice_name='B', ), consort.tools.PerformedTimespan( start_offset=abjad.Offset(80, 1), stop_offset=abjad.Offset(85, 1), voice_name='C', ), ] ) ''')

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0.911684

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14,974

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0.760725

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null

0

1

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1

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null

0

9

a060298c151fb95c338b81f78619d4691930e688

100

py

Python

kwat/path/get_absolute.py

KwatME/ccal

d96dfa811482eee067f346386a2181ec514625f4

[ "MIT" ]

5

2017-05-05T17:50:28.000Z

2019-01-30T19:23:02.000Z

kwat/path/get_absolute.py

KwatME/ccal

d96dfa811482eee067f346386a2181ec514625f4

[ "MIT" ]

5

2017-05-05T01:52:31.000Z

2019-04-20T21:06:05.000Z

kwat/path/get_absolute.py

KwatME/ccal

d96dfa811482eee067f346386a2181ec514625f4

[ "MIT" ]

5

2017-07-17T18:55:54.000Z

2019-02-02T04:46:19.000Z

from os.path import abspath, expanduser def get_absolute(pa): return abspath(expanduser(pa))

14.285714

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100

5.285714

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0.459459

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false

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2645ff07099565c1caab530d5fd1a25e164bb1fe

44,289

py

Python

qrc.py

LegosAndStuff-Dev/Orgize.code

d84776a74b4d4d0b0d1779fc692e435511839f8c

[ "MIT" ]

null

qrc.py

LegosAndStuff-Dev/Orgize.code

d84776a74b4d4d0b0d1779fc692e435511839f8c

[ "MIT" ]

null

qrc.py

LegosAndStuff-Dev/Orgize.code

d84776a74b4d4d0b0d1779fc692e435511839f8c

[ "MIT" ]

null

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1

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264c1cf47fdd592a5387b8761221d7ac31905bfe

6,407

py

Python

loldib/getratings/models/NA/na_vayne/na_vayne_bot.py

koliupy/loldib

c9ab94deb07213cdc42b5a7c26467cdafaf81b7f

[ "Apache-2.0" ]

null

loldib/getratings/models/NA/na_vayne/na_vayne_bot.py

koliupy/loldib

c9ab94deb07213cdc42b5a7c26467cdafaf81b7f

[ "Apache-2.0" ]

null

loldib/getratings/models/NA/na_vayne/na_vayne_bot.py

koliupy/loldib

c9ab94deb07213cdc42b5a7c26467cdafaf81b7f

[ "Apache-2.0" ]

null

from getratings.models.ratings import Ratings class NA_Vayne_Bot_Aatrox(Ratings): pass class NA_Vayne_Bot_Ahri(Ratings): pass class NA_Vayne_Bot_Akali(Ratings): pass class NA_Vayne_Bot_Alistar(Ratings): pass class NA_Vayne_Bot_Amumu(Ratings): pass class NA_Vayne_Bot_Anivia(Ratings): pass class NA_Vayne_Bot_Annie(Ratings): pass class NA_Vayne_Bot_Ashe(Ratings): pass class NA_Vayne_Bot_AurelionSol(Ratings): pass class NA_Vayne_Bot_Azir(Ratings): pass class NA_Vayne_Bot_Bard(Ratings): pass class NA_Vayne_Bot_Blitzcrank(Ratings): pass class NA_Vayne_Bot_Brand(Ratings): pass class NA_Vayne_Bot_Braum(Ratings): pass class NA_Vayne_Bot_Caitlyn(Ratings): pass class NA_Vayne_Bot_Camille(Ratings): pass class NA_Vayne_Bot_Cassiopeia(Ratings): pass class NA_Vayne_Bot_Chogath(Ratings): pass class NA_Vayne_Bot_Corki(Ratings): pass class NA_Vayne_Bot_Darius(Ratings): pass class NA_Vayne_Bot_Diana(Ratings): pass class NA_Vayne_Bot_Draven(Ratings): pass class NA_Vayne_Bot_DrMundo(Ratings): pass class NA_Vayne_Bot_Ekko(Ratings): pass class NA_Vayne_Bot_Elise(Ratings): pass class NA_Vayne_Bot_Evelynn(Ratings): pass class NA_Vayne_Bot_Ezreal(Ratings): pass class NA_Vayne_Bot_Fiddlesticks(Ratings): pass class NA_Vayne_Bot_Fiora(Ratings): pass class NA_Vayne_Bot_Fizz(Ratings): pass class NA_Vayne_Bot_Galio(Ratings): pass class NA_Vayne_Bot_Gangplank(Ratings): pass class NA_Vayne_Bot_Garen(Ratings): pass class NA_Vayne_Bot_Gnar(Ratings): pass class NA_Vayne_Bot_Gragas(Ratings): pass class NA_Vayne_Bot_Graves(Ratings): pass class NA_Vayne_Bot_Hecarim(Ratings): pass class NA_Vayne_Bot_Heimerdinger(Ratings): pass class NA_Vayne_Bot_Illaoi(Ratings): pass class NA_Vayne_Bot_Irelia(Ratings): pass class NA_Vayne_Bot_Ivern(Ratings): pass class NA_Vayne_Bot_Janna(Ratings): pass class NA_Vayne_Bot_JarvanIV(Ratings): pass class NA_Vayne_Bot_Jax(Ratings): pass class NA_Vayne_Bot_Jayce(Ratings): pass class NA_Vayne_Bot_Jhin(Ratings): pass class NA_Vayne_Bot_Jinx(Ratings): pass class NA_Vayne_Bot_Kalista(Ratings): pass class NA_Vayne_Bot_Karma(Ratings): pass class NA_Vayne_Bot_Karthus(Ratings): pass class NA_Vayne_Bot_Kassadin(Ratings): pass class NA_Vayne_Bot_Katarina(Ratings): pass class NA_Vayne_Bot_Kayle(Ratings): pass class NA_Vayne_Bot_Kayn(Ratings): pass class NA_Vayne_Bot_Kennen(Ratings): pass class NA_Vayne_Bot_Khazix(Ratings): pass class NA_Vayne_Bot_Kindred(Ratings): pass class NA_Vayne_Bot_Kled(Ratings): pass class NA_Vayne_Bot_KogMaw(Ratings): pass class NA_Vayne_Bot_Leblanc(Ratings): pass class NA_Vayne_Bot_LeeSin(Ratings): pass class NA_Vayne_Bot_Leona(Ratings): pass class NA_Vayne_Bot_Lissandra(Ratings): pass class NA_Vayne_Bot_Lucian(Ratings): pass class NA_Vayne_Bot_Lulu(Ratings): pass class NA_Vayne_Bot_Lux(Ratings): pass class NA_Vayne_Bot_Malphite(Ratings): pass class NA_Vayne_Bot_Malzahar(Ratings): pass class NA_Vayne_Bot_Maokai(Ratings): pass class NA_Vayne_Bot_MasterYi(Ratings): pass class NA_Vayne_Bot_MissFortune(Ratings): pass class NA_Vayne_Bot_MonkeyKing(Ratings): pass class NA_Vayne_Bot_Mordekaiser(Ratings): pass class NA_Vayne_Bot_Morgana(Ratings): pass class NA_Vayne_Bot_Nami(Ratings): pass class NA_Vayne_Bot_Nasus(Ratings): pass class NA_Vayne_Bot_Nautilus(Ratings): pass class NA_Vayne_Bot_Nidalee(Ratings): pass class NA_Vayne_Bot_Nocturne(Ratings): pass class NA_Vayne_Bot_Nunu(Ratings): pass class NA_Vayne_Bot_Olaf(Ratings): pass class NA_Vayne_Bot_Orianna(Ratings): pass class NA_Vayne_Bot_Ornn(Ratings): pass class NA_Vayne_Bot_Pantheon(Ratings): pass class NA_Vayne_Bot_Poppy(Ratings): pass class NA_Vayne_Bot_Quinn(Ratings): pass class NA_Vayne_Bot_Rakan(Ratings): pass class NA_Vayne_Bot_Rammus(Ratings): pass class NA_Vayne_Bot_RekSai(Ratings): pass class NA_Vayne_Bot_Renekton(Ratings): pass class NA_Vayne_Bot_Rengar(Ratings): pass class NA_Vayne_Bot_Riven(Ratings): pass class NA_Vayne_Bot_Rumble(Ratings): pass class NA_Vayne_Bot_Ryze(Ratings): pass class NA_Vayne_Bot_Sejuani(Ratings): pass class NA_Vayne_Bot_Shaco(Ratings): pass class NA_Vayne_Bot_Shen(Ratings): pass class NA_Vayne_Bot_Shyvana(Ratings): pass class NA_Vayne_Bot_Singed(Ratings): pass class NA_Vayne_Bot_Sion(Ratings): pass class NA_Vayne_Bot_Sivir(Ratings): pass class NA_Vayne_Bot_Skarner(Ratings): pass class NA_Vayne_Bot_Sona(Ratings): pass class NA_Vayne_Bot_Soraka(Ratings): pass class NA_Vayne_Bot_Swain(Ratings): pass class NA_Vayne_Bot_Syndra(Ratings): pass class NA_Vayne_Bot_TahmKench(Ratings): pass class NA_Vayne_Bot_Taliyah(Ratings): pass class NA_Vayne_Bot_Talon(Ratings): pass class NA_Vayne_Bot_Taric(Ratings): pass class NA_Vayne_Bot_Teemo(Ratings): pass class NA_Vayne_Bot_Thresh(Ratings): pass class NA_Vayne_Bot_Tristana(Ratings): pass class NA_Vayne_Bot_Trundle(Ratings): pass class NA_Vayne_Bot_Tryndamere(Ratings): pass class NA_Vayne_Bot_TwistedFate(Ratings): pass class NA_Vayne_Bot_Twitch(Ratings): pass class NA_Vayne_Bot_Udyr(Ratings): pass class NA_Vayne_Bot_Urgot(Ratings): pass class NA_Vayne_Bot_Varus(Ratings): pass class NA_Vayne_Bot_Vayne(Ratings): pass class NA_Vayne_Bot_Veigar(Ratings): pass class NA_Vayne_Bot_Velkoz(Ratings): pass class NA_Vayne_Bot_Vi(Ratings): pass class NA_Vayne_Bot_Viktor(Ratings): pass class NA_Vayne_Bot_Vladimir(Ratings): pass class NA_Vayne_Bot_Volibear(Ratings): pass class NA_Vayne_Bot_Warwick(Ratings): pass class NA_Vayne_Bot_Xayah(Ratings): pass class NA_Vayne_Bot_Xerath(Ratings): pass class NA_Vayne_Bot_XinZhao(Ratings): pass class NA_Vayne_Bot_Yasuo(Ratings): pass class NA_Vayne_Bot_Yorick(Ratings): pass class NA_Vayne_Bot_Zac(Ratings): pass class NA_Vayne_Bot_Zed(Ratings): pass class NA_Vayne_Bot_Ziggs(Ratings): pass class NA_Vayne_Bot_Zilean(Ratings): pass class NA_Vayne_Bot_Zyra(Ratings): pass

15.364508

46

0.761667

972

6,407

4.59465

0.151235

0.216301

0.370802

0.463502

0.797582

0

0.173404

6,407

416

47

15.401442

0.843278

0

0.498195

0

1

0

true

0.498195

0.00361

0

0.501805

0

null

1

0

1

0

null

0

1

0

1

0

7

266f96a4a7dc630ad8f2e376053b5f03bab78571

8,318

py

Python

tests/test_blocks.py

guolinxin/bitcoin

f76764a4c22327538c94a442a2de5fadb229a5a6

[ "MIT" ]

3

2019-11-14T03:45:39.000Z

2021-08-02T14:24:27.000Z

tests/test_blocks.py

guolinxin/bitcoin

f76764a4c22327538c94a442a2de5fadb229a5a6

[ "MIT" ]

1

2020-01-04T00:50:52.000Z

2020-01-13T20:08:59.000Z

tests/test_blocks.py

guolinxin/bitcoin

f76764a4c22327538c94a442a2de5fadb229a5a6

[ "MIT" ]

4

2020-05-07T17:45:22.000Z

2021-12-03T05:30:52.000Z

import btc.block # # Compare two strings and return the first charqcte where they # differ or minus 1 # def diff_strings(s1, s2): l = min(len(s1), len(s2)) for i in range(l): if s1[i] != s2[i]: return i if len(s1) != len(s2): return l return -1 # # Pretty print blocks # def pp_block(raw): cpl = 50 lines = int(len(raw) / cpl) + 1 s = raw for i in range(lines): print(s[0:cpl]) s = s[cpl:] # # Deserialize a block header # def test_tc1(): raw = '00000020df9e03f6f3b6089704150a0627841c9fb86adbf265fc8f31c95bb6b99e4a604c187d9b8d7dad469812834e9f4f72af649656b4179880d0102499118c7fd488d9bc69b65affff7f20030000000102000000010000000000000000000000000000000000000000000000000000000000000000ffffffff04016b0101ffffffff0200f2052a01000000232103bacc76145b9800c24b519cf659e6add26db1ea0b23806ae361f058e67d84bd04ac0000000000000000266a24aa21a9ede2f61c3f71d1defd3fa999dfa36953755c690689799962b48bebd836974e8cf900000000' blockHeader = btc.block.blockHeader() raw = blockHeader.deserialize(raw) assert(blockHeader.getVersion() == 0x20000000) assert(blockHeader.getPrevBlockId() == '4c604a9eb9b65bc9318ffc65f2db6ab89f1c8427060a15049708b6f3f6039edf') assert(blockHeader.getMerkleRoot() == 'd988d47f8c11992410d0809817b4569664af724f9f4e83129846ad7d8d9b7d18') assert(blockHeader.getCreationTime() == 1521904060) assert(blockHeader.getBits() == 545259519) assert(blockHeader.getNonce() == 3) assert(raw == '0102000000010000000000000000000000000000000000000000000000000000000000000000ffffffff04016b0101ffffffff0200f2052a01000000232103bacc76145b9800c24b519cf659e6add26db1ea0b23806ae361f058e67d84bd04ac0000000000000000266a24aa21a9ede2f61c3f71d1defd3fa999dfa36953755c690689799962b48bebd836974e8cf900000000') # # Deserialize a block # def test_tc2(): raw = '00000020df9e03f6f3b6089704150a0627841c9fb86adbf265fc8f31c95bb6b99e4a604c187d9b8d7dad469812834e9f4f72af649656b4179880d0102499118c7fd488d9bc69b65affff7f20030000000102000000010000000000000000000000000000000000000000000000000000000000000000ffffffff04016b0101ffffffff0200f2052a01000000232103bacc76145b9800c24b519cf659e6add26db1ea0b23806ae361f058e67d84bd04ac0000000000000000266a24aa21a9ede2f61c3f71d1defd3fa999dfa36953755c690689799962b48bebd836974e8cf900000000' block = btc.block.block() raw = block.deserialize(raw) # # First check block header fields # blockHeader = block.getBlockHeader() assert(blockHeader.getVersion() == 0x20000000) assert(blockHeader.getPrevBlockId() == '4c604a9eb9b65bc9318ffc65f2db6ab89f1c8427060a15049708b6f3f6039edf') assert(blockHeader.getMerkleRoot() == 'd988d47f8c11992410d0809817b4569664af724f9f4e83129846ad7d8d9b7d18') assert(blockHeader.getCreationTime() == 1521904060) assert(blockHeader.getBits() == 545259519) assert(blockHeader.getNonce() == 3) # # Now check transactions # tx = block.getTx() assert(1 == len(tx)) # # Deserialize a block with two transactions # def test_tc3(): raw = '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' block = btc.block.block() block.deserialize(raw) # # First check block header fields # blockHeader = block.getBlockHeader() assert(blockHeader.getVersion() == 0x20000000) # # Now check transactions # tx = block.getTx() assert(2 == len(tx)) # # Re-serialize the block manually and compare. The block header # has 80 bytes # _raw = raw[:2*80] + "02" + tx[0].serialize() + tx[1].serialize() assert(_raw == raw) # # Also check the transaction hashes # assert(tx[0].getTxnId(byteorder="big") == '7a2470e0242a5dc141f3d260dd3e4c43a06bf2f827ac26d9d3686ad1949bcd66') assert(tx[1].getTxnId(byteorder="big") == 'b257a1ff6503d2d93fd5c8fc49c91c3cfc14f38f34788217320b32e4a30e9b40') # # Deserialize a block header # def test_tc4(): raw = '00000020df9e03f6f3b6089704150a0627841c9fb86adbf265fc8f31c95bb6b99e4a604c187d9b8d7dad469812834e9f4f72af649656b4179880d0102499118c7fd488d9bc69b65affff7f20030000000102000000010000000000000000000000000000000000000000000000000000000000000000ffffffff04016b0101ffffffff0200f2052a01000000232103bacc76145b9800c24b519cf659e6add26db1ea0b23806ae361f058e67d84bd04ac0000000000000000266a24aa21a9ede2f61c3f71d1defd3fa999dfa36953755c690689799962b48bebd836974e8cf900000000' blockHeader = btc.block.blockHeader() blockHeader.deserialize(raw) assert(blockHeader.serialize() == raw[:160]) # # Serialize a block with two transactions # def test_tc5(): raw = '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' block = btc.block.block() block.deserialize(raw) assert(block.serialize() == raw) # # Test conversion of bits to difficulty # def test_tc6(): # # This is the raw block header of block #516463 # raw = "00000020d0af8b47e9b5cdf1911642224e548bec3d54c2ba1c900300000000000000000079fd24794eccc05a7e198ce2613dfc0e89a65d20dc871440f2c8b6197deb237b0199c35ab72a5017ed3013f1bb" blockHeader = btc.block.blockHeader() blockHeader.deserialize(raw) assert(abs(blockHeader.getDifficulty() - 3511060552899.72) < 0.01) # # Test updateMerkleRoot # def test_tc7(): raw = '000000208b04e3a08be31c35257492f18bfac10c5ead328b5a4012473ef20a903cd49850bd11c56cf26bf256e4cdd00cd21b68c37f3b71d9614e9630226f5fa09b4104c1d7a1bf5affff7f20020000000202000000010000000000000000000000000000000000000000000000000000000000000000ffffffff04016c0101ffffffff02a803062a01000000232102a2f9ed878030526366b30093c00e32934f3c04a884f2844af2883ee453f0228dac0000000000000000266a24aa21a9ede8d2abc7618be366fa6688272429dac8512666a1610a72c6a72527c4698ccafc000000000200000001a88649b2ec24cb6fa07011acb68749461d7c438e8b89ddbcea3f5bac89e3ad2b010000006b483045022100ca652e20c2a0ceae370a2c037d8bbce09498c883a7a98a541e8f9fcea294d8c902207a16331540cd8a892186926646f99220489de0a9a9713f870b1c6989cf22948c012103f9fa8e3fba8af74b6c8ba4bd530000df4cc62bf0a50aeff58b6462888f79a5cefeffffff0280d1f008000000001976a914625d8e5d40a1b797b47cb66eee958724a668d8d288acd87adfa9000000001976a914731a59d04408789756ae353eeba6eefc975bfe7688ac1f000000' block = btc.block.block() block.deserialize(raw) # # Get the Merkle root # merkleRoot = block.getBlockHeader().getMerkleRoot() # # Update - but overwrite first so that we really know # that we do something # block.getBlockHeader().merkleRoot = "ff" block.updateMerkleRoot() # # this should not change anything # assert(block.getBlockHeader().getMerkleRoot() == merkleRoot)

54.723684

918

0.842029

395

8,318

17.703797

0.321519

0.034034

0.009724

0.010296

0.709853

0.704705

0.561133

0.541113

0.523667

0.120549

0

0.480504

0.102789

8,318

151

919

55.086093

0.456519

0.084996

0

0.466667

0

0.653067

0.651742

0

1

0.003974

0

0.306667

1

0.12

false

0

0.013333

0

0.173333

0.013333

0

1

null

0

1

0

1

0

1

0

1

null

1

0

7

cd210311f26c781f6e5dd986d7ad9af22631b91b

37

py

Python

movie_spider/resource/movie.py

codelegant/python-action

6da939faa3a235d595825d442f72825b7849c393

[ "MIT" ]

null

movie_spider/resource/movie.py

codelegant/python-action

6da939faa3a235d595825d442f72825b7849c393

[ "MIT" ]

null

movie_spider/resource/movie.py

codelegant/python-action

6da939faa3a235d595825d442f72825b7849c393

[ "MIT" ]

null

def get(): return 'This is movie'

18.5

26

0.621622

6

37

3.833333

1

0

0.243243

37

2

26

18.5

0.821429

0

0.342105

0

1

0.5

true

0

0.5

1

0

1

0

null

0

1

0

null

0

1

0

1

0

7

cd8c6db9f45222dc102494856a7d69295142fb56

1,768

py

Python

ParallelPyMetaMap/main/output_files.py

biomedicalinformaticsgroup/ParallelPyMetaMap

7d78cc026d914de81803a794f833223f1dab2df9

[ "MIT" ]

null

ParallelPyMetaMap/main/output_files.py

biomedicalinformaticsgroup/ParallelPyMetaMap

7d78cc026d914de81803a794f833223f1dab2df9

[ "MIT" ]

null

ParallelPyMetaMap/main/output_files.py

biomedicalinformaticsgroup/ParallelPyMetaMap

7d78cc026d914de81803a794f833223f1dab2df9

[ "MIT" ]

null

import os def output_files(column_name, out_form, extension): #creating the directories we are planning on using the save the result of the system if out_form == 'mmi': for path in [f'output_ParallelPyMetaMap_{column_name}_{out_form}', f'output_ParallelPyMetaMap_{column_name}_{out_form}/annotated_df', f'output_ParallelPyMetaMap_{column_name}_{out_form}/temporary_df', f'output_ParallelPyMetaMap_{column_name}_{out_form}/extra_resources', f'output_ParallelPyMetaMap_{column_name}_{out_form}/{extension}_files' ]: try: #try to create the directory, most likely will work for new project os.mkdir(path) print(f'Now creating {path}') except: #if the directory already exist just pass pass if out_form == 'mo': for path in [f'output_ParallelPyMetaMap_{column_name}_{out_form}', f'output_ParallelPyMetaMap_{column_name}_{out_form}/annotated_df', f'output_ParallelPyMetaMap_{column_name}_{out_form}/temporary_df', f'output_ParallelPyMetaMap_{column_name}_{out_form}/extra_resources', f'output_ParallelPyMetaMap_{column_name}_{out_form}/{extension}_files_output', f'output_ParallelPyMetaMap_{column_name}_{out_form}/{extension}_files_input' ]: try: #try to create the directory, most likely will work for new project os.mkdir(path) print(f'Now creating {path}') except: #if the directory already exist just pass pass

52

98

0.605769

196

1,768

5.102041

0.27551

0.098

0.156

0.204

0.875

0.849

0.794

0

0.315045

1,768

34

99

52

0.825764

0.166855

0

0.740741

0

0.498979

0.469707

0

1

0.037037

false

0.074074

0.037037

0

0.074074

0

null

0

1

0

1

0

1

null

0

1

0

10

269a8e1fef05ee3e6858bffcf8e3c641bdbe3163

10,869

py

Python

pytorch_toolkit/object_detection/tests/common/test_case.py

maxpark/openvino_training_extensions

98450ed8aeab8a003e1d19b49b6fb0da60388605

[ "Apache-2.0" ]

3

2020-12-29T02:47:32.000Z

2021-11-12T08:12:51.000Z

pytorch_toolkit/object_detection/tests/common/test_case.py

maxpark/openvino_training_extensions

98450ed8aeab8a003e1d19b49b6fb0da60388605

[ "Apache-2.0" ]

null

pytorch_toolkit/object_detection/tests/common/test_case.py

maxpark/openvino_training_extensions

98450ed8aeab8a003e1d19b49b6fb0da60388605

[ "Apache-2.0" ]

null

# Copyright (C) 2020 Intel Corporation # # 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. import json import os import unittest import torch import yaml from common.utils import collect_ap, run_through_shell def get_dependencies(template_file): output = {} with open(template_file) as read_file: content = yaml.load(read_file, yaml.SafeLoader) for dependency in content['dependencies']: output[dependency['destination'].split('.')[0]] = dependency['source'] return output def get_epochs(template_file): with open(template_file) as read_file: content = yaml.load(read_file, yaml.SafeLoader) return content['hyper_parameters']['basic']['epochs'] def create_test_case(problem_name, model_name, ann_file, img_root): class TestCaseOteApi(unittest.TestCase): @classmethod def setUpClass(cls): cls.templates_folder = os.environ['MODEL_TEMPLATES'] cls.template_folder = os.path.join(cls.templates_folder, 'object_detection', problem_name, model_name) cls.template_file = os.path.join(cls.template_folder, 'template.yaml') cls.ann_file = ann_file cls.img_root = img_root cls.dependencies = get_dependencies(cls.template_file) cls.epochs_delta = 2 cls.total_epochs = get_epochs(cls.template_file) + cls.epochs_delta run_through_shell( f'cd {cls.template_folder};' f'pip install -r requirements.txt;' ) def skip_if_cpu_is_not_supported(self): with open(self.template_file) as read_file: training_targets = [x.lower() for x in yaml.load(read_file, yaml.SafeLoader)['training_target']] if 'cpu' not in training_targets: self.skipTest('CPU is not supported.') @unittest.skipUnless(torch.cuda.is_available(), 'No GPU found') def test_evaluation_on_gpu(self): run_through_shell( f'cd {self.template_folder};' f'python eval.py' f' --test-ann-files {self.ann_file}' f' --test-data-roots {self.img_root}' f' --save-metrics-to metrics.yaml' f' --load-weights snapshot.pth' ) with open(os.path.join(self.template_folder, "metrics.yaml")) as read_file: content = yaml.load(read_file, yaml.SafeLoader) ap = [metrics['value'] for metrics in content['metrics'] if metrics['key'] == 'ap'][0] with open(f'{os.path.dirname(__file__)}/../expected_outputs/{problem_name}/{model_name}.json') as read_file: content = json.load(read_file) self.assertLess(abs(content['map'] - ap / 100), 1e-6) def test_evaluation_on_cpu(self): self.skip_if_cpu_is_not_supported() run_through_shell( 'export CUDA_VISIBLE_DEVICES=;' f'cd {self.template_folder};' f'python eval.py' f' --test-ann-files {self.ann_file}' f' --test-data-roots {self.img_root}' f' --save-metrics-to metrics.yaml' f' --load-weights snapshot.pth' ) with open(os.path.join(self.template_folder, "metrics.yaml")) as read_file: content = yaml.load(read_file, yaml.SafeLoader) ap = [metrics['value'] for metrics in content['metrics'] if metrics['key'] == 'ap'][0] with open(f'{os.path.dirname(__file__)}/../expected_outputs/{problem_name}/{model_name}.json') as read_file: content = json.load(read_file) self.assertLess(abs(content['map'] - ap / 100), 1e-6) @unittest.skipUnless(torch.cuda.is_available(), 'No GPU found') def test_finetuning_on_gpu(self): log_file = os.path.join(self.template_folder, 'test_finetuning.log') run_through_shell( f'cd {self.template_folder};' f'python train.py' f' --train-ann-files {self.ann_file}' f' --train-data-roots {self.img_root}' f' --val-ann-files {self.ann_file}' f' --val-data-roots {self.img_root}' f' --resume-from snapshot.pth' f' --save-checkpoints-to {self.template_folder}' f' --gpu-num 1' f' --batch-size 1' f' --epochs {self.total_epochs}' f' | tee {log_file}') ap = collect_ap(log_file) self.assertEqual(len((ap)), self.epochs_delta) self.assertGreater(ap[-1], 0) def test_finetuning_on_cpu(self): self.skip_if_cpu_is_not_supported() log_file = os.path.join(self.template_folder, 'test_finetuning.log') run_through_shell( 'export CUDA_VISIBLE_DEVICES=;' f'cd {self.template_folder};' f'python train.py' f' --train-ann-files {self.ann_file}' f' --train-data-roots {self.img_root}' f' --val-ann-files {self.ann_file}' f' --val-data-roots {self.img_root}' f' --resume-from snapshot.pth' f' --save-checkpoints-to {self.template_folder}' f' --gpu-num 1' f' --batch-size 1' f' --epochs {self.total_epochs}' f' | tee {log_file}') ap = collect_ap(log_file) self.assertEqual(len((ap)), self.epochs_delta) self.assertGreater(ap[-1], 0) return TestCaseOteApi def create_export_test_case(problem_name, model_name, ann_file, img_root, alt_ssd_export=False): class ExportTestCase(unittest.TestCase): @classmethod def setUpClass(cls): cls.templates_folder = os.environ['MODEL_TEMPLATES'] cls.template_folder = os.path.join(cls.templates_folder, 'object_detection', problem_name, model_name) cls.template_file = os.path.join(cls.template_folder, 'template.yaml') cls.ann_file = ann_file cls.img_root = img_root cls.dependencies = get_dependencies(cls.template_file) cls.test_export_thr = 0.031 def skip_if_cpu_is_not_supported(self): with open(self.template_file) as read_file: training_targets = [x.lower() for x in yaml.load(read_file, yaml.SafeLoader)['training_target']] if 'cpu' not in training_targets: self.skipTest('CPU is not supported.') def do_export(self, folder): run_through_shell( f'cd {os.path.dirname(self.template_file)};' f'pip install -r requirements.txt;' f'python export.py' f' --load-weights snapshot.pth' f' --save-model-to {folder}' ) def export_test_on_gpu(self, alt_ssd_export, thr): export_folder = 'gpu_export' if not os.path.exists(export_folder): self.do_export(export_folder) if alt_ssd_export: export_dir = os.path.join(self.template_folder, export_folder, 'alt_ssd_export') else: export_dir = os.path.join(self.template_folder, export_folder) run_through_shell( f'cd {os.path.dirname(self.template_file)};' f'python eval.py' f' --test-ann-files {ann_file}' f' --test-data-roots {img_root}' f' --load-weights {os.path.join(export_dir, "model.bin")}' f' --save-metrics-to {os.path.join(export_dir, "metrics.yaml")}' ) with open(os.path.join(export_dir, "metrics.yaml")) as read_file: content = yaml.load(read_file, yaml.SafeLoader) ap = [metric for metric in content['metrics'] if metric['key'] == 'ap'][0]['value'] with open(f'{os.path.dirname(__file__)}/../expected_outputs/{problem_name}/{model_name}.json') as read_file: content = json.load(read_file) self.assertGreater(ap, content['map'] - thr) def export_test_on_cpu(self, alt_ssd_export, thr): export_folder = 'cpu_export' if not os.path.exists(export_folder): self.do_export(export_folder) if alt_ssd_export: export_dir = os.path.join(self.template_folder, export_folder, 'alt_ssd_export') else: export_dir = os.path.join(self.template_folder, export_folder) run_through_shell( f'export CUDA_VISIBLE_DEVICES=;' f'cd {os.path.dirname(self.template_file)};' f'python eval.py' f' --test-ann-files {ann_file}' f' --test-data-roots {img_root}' f' --load-weights {os.path.join(export_dir, "model.bin")}' f' --save-metrics-to {os.path.join(export_dir, "metrics.yaml")}' ) with open(os.path.join(export_dir, "metrics.yaml")) as read_file: content = yaml.load(read_file, yaml.SafeLoader) ap = [metric for metric in content['metrics'] if metric['key'] == 'ap'][0]['value'] with open(f'{os.path.dirname(__file__)}/../expected_outputs/{problem_name}/{model_name}.json') as read_file: content = json.load(read_file) self.assertGreater(ap, content['map'] - thr) @unittest.skipUnless(torch.cuda.is_available(), 'No GPU found') def test_export_on_gpu(self): self.export_test_on_gpu(False, self.test_export_thr) def test_export_on_cpu(self): self.skip_if_cpu_is_not_supported() self.export_test_on_cpu(False, self.test_export_thr) class ExportWithAltSsdTestCase(ExportTestCase): @unittest.skipUnless(torch.cuda.is_available(), 'No GPU found') def test_alt_ssd_export_on_gpu(self): self.export_test_on_gpu(True, self.test_export_thr) def test_alt_ssd_export_on_cpu(self): self.skip_if_cpu_is_not_supported() self.export_test_on_cpu(True, self.test_export_thr) if alt_ssd_export: return ExportWithAltSsdTestCase return ExportTestCase

42.127907

120

0.597663

1,373

10,869

4.498908

0.144938

0.026226

0.02914

0.027521

0.811559

0.796503

0.767848

0.757811

0.746803

0

0.004642

0.286503

10,869

257

121

42.291829

0.791876

0.050971

0

0.739796

0

0.244539

0.077662

0

0.040816

1

0.096939

false

0

0.030612

0

0.168367

0

null

0

1

0

1

0

null

0

7

26c4f748dd775544780d6f2f4a2b535002b4da26

2,801

py

Python

eLearningProject/eLearningApp/migrations/0003_auto_20200115_0944.py

MelissaYates/passionProject1

d8462265fd4c17bbe1e70410e989aff6ca5298fe

[ "MIT" ]

null

eLearningProject/eLearningApp/migrations/0003_auto_20200115_0944.py

MelissaYates/passionProject1

d8462265fd4c17bbe1e70410e989aff6ca5298fe

[ "MIT" ]

null

eLearningProject/eLearningApp/migrations/0003_auto_20200115_0944.py

MelissaYates/passionProject1

d8462265fd4c17bbe1e70410e989aff6ca5298fe

[ "MIT" ]

null

# Generated by Django 3.0.2 on 2020-01-15 09:44 import datetime from django.db import migrations, models from django.utils.timezone import utc class Migration(migrations.Migration): dependencies = [ ('eLearningApp', '0002_auto_20200115_0917'), ] operations = [ migrations.AlterField( model_name='course', name='created', field=models.DateTimeField(default=datetime.datetime(2020, 1, 15, 9, 44, 52, 476747, tzinfo=utc)), ), migrations.AlterField( model_name='course', name='thumbnail', field=models.ImageField(upload_to='gallery'), ), migrations.AlterField( model_name='course', name='updated', field=models.DateTimeField(default=datetime.datetime(2020, 1, 15, 9, 44, 52, 476773, tzinfo=utc)), ), migrations.AlterField( model_name='file', name='created', field=models.DateTimeField(default=datetime.datetime(2020, 1, 15, 9, 44, 52, 479520, tzinfo=utc)), ), migrations.AlterField( model_name='file', name='updated', field=models.DateTimeField(default=datetime.datetime(2020, 1, 15, 9, 44, 52, 479543, tzinfo=utc)), ), migrations.AlterField( model_name='image', name='created', field=models.DateTimeField(default=datetime.datetime(2020, 1, 15, 9, 44, 52, 479520, tzinfo=utc)), ), migrations.AlterField( model_name='image', name='updated', field=models.DateTimeField(default=datetime.datetime(2020, 1, 15, 9, 44, 52, 479543, tzinfo=utc)), ), migrations.AlterField( model_name='relatedcourse', name='time', field=models.DateTimeField(default=datetime.datetime(2020, 1, 15, 9, 44, 52, 477669, tzinfo=utc)), ), migrations.AlterField( model_name='text', name='created', field=models.DateTimeField(default=datetime.datetime(2020, 1, 15, 9, 44, 52, 479520, tzinfo=utc)), ), migrations.AlterField( model_name='text', name='updated', field=models.DateTimeField(default=datetime.datetime(2020, 1, 15, 9, 44, 52, 479543, tzinfo=utc)), ), migrations.AlterField( model_name='video', name='created', field=models.DateTimeField(default=datetime.datetime(2020, 1, 15, 9, 44, 52, 479520, tzinfo=utc)), ), migrations.AlterField( model_name='video', name='updated', field=models.DateTimeField(default=datetime.datetime(2020, 1, 15, 9, 44, 52, 479543, tzinfo=utc)), ), ]

36.855263

110

0.575866

292

2,801

5.469178

0.202055

0.150282

0.187852

0.217909

0.82154

0.747652

0.67752

0

0.115657

0.29311

2,801

75

111

37.346667

0.690909

0.016066

0

0.768116

1

0

0.069717

0.008351

0

1

0

false

0

0.043478

0

0.086957

0

null

0

1

0

1

0

1

0

null

0

9

f805845b946af2e8dafef0dab1f4a164a626968c

166

py

Python

Task1E.py

cued-ia-computing/flood-ojss2-os416

d8fb81a216b6100de342dc9d134d852257adb713

[ "MIT" ]

null

Task1E.py

cued-ia-computing/flood-ojss2-os416

d8fb81a216b6100de342dc9d134d852257adb713

[ "MIT" ]

null

Task1E.py

cued-ia-computing/flood-ojss2-os416

d8fb81a216b6100de342dc9d134d852257adb713

[ "MIT" ]

null

from floodsystem.geo import rivers_by_station_number from floodsystem.stationdata import build_station_list print(rivers_by_station_number(build_station_list(), 9))

33.2

56

0.879518

24

166

5.666667

0.541667

0.220588

0.308824

0

0.006452

0.066265

166

4

57

41.5

0.870968

0

1

0

true

0

0.666667

0

0.666667

0.333333

1

0

null

1

0

1

0

null

0

1

0

1

0

7

f808b4fd018833d54a849466600f7324bba42fb3

25,036

py

Python

Firmware/Py Scripts/unused in GUI/OAP_SampleLogger/Presentation_Part.py

ECE-412-Capstone-Sensor-Suite/Team-20-Sensor-Suite

ac1c1bb5383c0b9fe91caf8646ca2cb8643f607e

[ "MIT" ]

2

2021-03-03T05:03:56.000Z

2021-03-03T05:03:58.000Z

Firmware/Py Scripts/unused in GUI/OAP_SampleLogger/Presentation_Part.py

ECE-412-Capstone-Sensor-Suite/Team-20-Sensor-Suite

ac1c1bb5383c0b9fe91caf8646ca2cb8643f607e

[ "MIT" ]

null

Firmware/Py Scripts/unused in GUI/OAP_SampleLogger/Presentation_Part.py

ECE-412-Capstone-Sensor-Suite/Team-20-Sensor-Suite

ac1c1bb5383c0b9fe91caf8646ca2cb8643f607e

[ "MIT" ]

1

2021-02-27T01:15:39.000Z

import tkinter as tk # python 2 import time class SampleApp(tk.Tk): def __init__(self, *args, **kwargs): tk.Tk.__init__(self, *args, **kwargs) container = tk.Frame(self) container.pack(side="top", fill="both", expand=True) container.grid_rowconfigure(0, weight=1) container.grid_columnconfigure(0, weight=1) self.frames = {} for F in (StartPage, MotesPage, Mote1Page, Mote2Page, Mote3Page): page_name = F.__name__ frame = F(parent=container, controller=self) self.frames[page_name] = frame frame.grid(row=0, column=0, sticky="nsew") self.show_frame("StartPage") def show_frame(self, page_name): '''Show a frame for the given page name''' frame = self.frames[page_name] frame.tkraise() class StartPage(tk.Frame): def __init__(self, parent, controller): tk.Frame.__init__(self, parent, bg = '#b3d9ff') self.controller = controller self.controller.title("Data Visualization") self.controller.geometry("1080x720") self.controller.maxsize(1080, 720) self.controller.minsize(1080, 720) self.controller.iconbitmap("agriculture_plants_icon.ico") self.controller.configure(bg= "white") self.controller.attributes("-topmost", 1) heading_label1 = tk.Label(self, text = 'Data Visualization', font = ("Times_New_Roman 30"), fg = 'black', bg = '#b3d9ff') heading_label1.pack(pady = 50) def s_button(): controller.show_frame('MotesPage') start_button = tk.Button(self, text = 'Get Start', font=("Times_New_Roman 15"), relief = 'raised', borderwidth = 3, width = 30, height = 3, command=s_button) start_button.pack(pady= 50) class MotesPage(tk.Frame): def __init__(self, parent, controller): tk.Frame.__init__(self, parent, bg='#b3d9ff') self.controller = controller self.controller.title("Data Visualization") self.controller.geometry("1080x720") self.controller.maxsize(1080, 720) self.controller.minsize(1080, 720) self.controller.iconbitmap("agriculture_plants_icon.ico") self.controller.configure(bg="white") self.controller.attributes("-topmost", 1) heading_label1 = tk.Label(self, text='Data Visualization', font=("Times_New_Roman 30"), fg='black', bg='#b3d9ff') heading_label1.pack(pady=50) motes_label = tk.Label(self, text='Motes Choose', font=("Times_New_Roman 20"), fg='black', bg='#b3d9ff' ) motes_label.pack() button_frame = tk.Frame(self, bg = '#b3d9ff') button_frame.pack(expand = True) button_frame2 = tk.Frame(self, bg='#b3d9ff') button_frame2.pack(fill = 'both', expand = True) def mote1(): controller.show_frame('Mote1Page') mote1_button = tk.Button(button_frame, text = 'Mote1', font=("Times_New_Roman 15"), command = mote1, relief = 'raised', borderwidth = 3, width = 20, height = 4, ) mote1_button.grid(row = 0, column= 0, pady = 20, padx = 10) def mote2(): controller.show_frame('Mote2Page') mote2_button = tk.Button(button_frame, text = 'Mote2', font=("Times_New_Roman 15"), command = mote2, relief = 'raised', borderwidth = 3, width = 20, height = 4) mote2_button.grid(row = 0, column= 1, pady = 20, padx = 10) def mote3(): controller.show_frame('Mote3Page') mote3_button = tk.Button(button_frame, text = 'Mote3', font=("Times_New_Roman 15"), command = mote3, relief = 'raised', borderwidth = 3, width = 20, height = 4) mote3_button.grid(row = 0, column= 2, pady = 20, padx = 10) def back1(): controller.show_frame('StartPage') back1_button = tk.Button(button_frame2, text = 'Back', font=("Times_New_Roman 15"), command = back1, relief = 'raised', borderwidth = 3, width = 10, height = 2) back1_button.grid(row = 0, column= 0, pady = 300, padx = 10) class Mote1Page(tk.Frame): def __init__(self, parent, controller): tk.Frame.__init__(self, parent, bg='#b3d9ff') self.controller = controller self.controller.title("Data Visualization") self.controller.geometry("1080x720") self.controller.maxsize(1080, 720) self.controller.minsize(1080, 720) self.controller.iconbitmap("agriculture_plants_icon.ico") self.controller.configure(bg="white") self.controller.attributes("-topmost", 1) heading_label2 = tk.Label(self, text='Data Visualization - Mote1 Data', font=("Times_New_Roman 20"), fg='black', bg='#b3d9ff') heading_label2.pack(pady=50) button_frame = tk.Frame(self, bg='#b3d9ff') button_frame.pack(fill='both', expand=True) button_frame2 = tk.Frame(self, bg='#b3d9ff') button_frame2.pack(fill = 'both', expand = True) def temp(): pass temp_button = tk.Button(button_frame, text = 'Tempeture Graph', font=("Times_New_Roman 12"), command = temp, relief = 'raised', borderwidth = 3, width = 16, height = 4) temp_button.grid(row = 0, column = 0, pady = 10, padx = 30) def hum(): pass hum_button = tk.Button(button_frame, text = 'Humidity Graph', font=("Times_New_Roman 12"), command = hum, relief = 'raised', borderwidth = 3, width = 16, height = 4) hum_button.grid(row = 0, column = 1, pady = 10, padx = 10) def lig(): pass lig_button = tk.Button(button_frame, text='Light Graph', font=("Times_New_Roman 12"), command=hum, relief='raised', borderwidth=3, width=16, height=4) lig_button.grid(row=1, column=0, pady=10, padx=10) def vib(): pass vib_button = tk.Button(button_frame, text='Vibration Graph', font=("Times_New_Roman 12"), command=hum, relief='raised', borderwidth=3, width=16, height=4) vib_button.grid(row=1, column=1, pady=10, padx=10) def back1(): controller.show_frame('MotesPage') back1_button = tk.Button(button_frame2, text = 'Back', font=("Times_New_Roman 15"), command = back1, relief = 'raised', borderwidth = 3, width = 10, height = 2) back1_button.grid(row = 0, column= 0, pady = 10, padx = 10) text_window = tk.Frame(button_frame, pady =10, padx = 50) text_window.configure(bg = '#b3d9ff') text_window.grid(row=0, column=2, rowspan = 6, columnspan = 2, sticky = "nsew") text = tk.Text(text_window, width = 50, height = 20, font = ("Times_New_Roman 15")) text.grid(row=0, column=2, rowspan = 6, columnspan = 2, pady = 5, padx = 5) scrollbar = tk.Scrollbar(text_window, command = text.yview) text['yscroll'] = scrollbar.set scrollbar.grid(row=0, column=4, rowspan = 6, sticky = "ns") data_log = """Friedrich Wilhelm Nietzsche, 15 October 1844 – 25 August 1900) was a German philosopher, cultural critic, composer, poet, writer, and philologist whose work has exerted a profound influence on modern intellectual history. He began his career as a classical philologist before turning to philosophy. He became the youngest person ever to hold the Chair of Classical Philology at the University of Basel in 1869 at the age of 24.[44] Nietzsche resigned in 1879 due to health problems that plagued him most of his life; he completed much of his core writing in the following decade.[45] In 1889, at age 44, he suffered a collapse and afterward a complete loss of his mental faculties. He lived his remaining years in the care of his mother until her death in 1897 and then with his sister Elisabeth Förster-Nietzsche. Nietzsche died in 1900. Nietzsche's writing spans philosophical polemics, poetry, cultural criticism, and fiction while displaying a fondness for aphorism and irony.[47] Prominent elements of his philosophy include his radical critique of truth in favor of perspectivism; a genealogical critique of religion and Christian morality and related theory of master–slave morality;[40][48][i] the aesthetic affirmation of life in response to both the "death of God" and the profound crisis of nihilism;[40] the notion of Apollonian and Dionysian forces; and a characterization of the human subject as the expression of competing wills, collectively understood as the will to power.[49] He also developed influential concepts such as the Übermensch and the doctrine of eternal return.[50][51] In his later work, he became increasingly preoccupied with the creative powers of the individual to overcome cultural and moral mores in pursuit of new values and aesthetic health.[43] His body of work touched a wide range of topics, including art, philology, history, religion, tragedy, culture, and science, and drew inspiration from figures such as Socrates, Zoroaster, Arthur Schopenhauer,[23] Ralph Waldo Emerson, Richard Wagner[23] and Johann Wolfgang von Goethe.""" text.insert(tk.INSERT,data_log) class Mote2Page(tk.Frame): def __init__(self, parent, controller): tk.Frame.__init__(self, parent, bg='#b3d9ff') self.controller = controller self.controller.title("Data Visualization") self.controller.geometry("1080x720") self.controller.maxsize(1080, 720) self.controller.minsize(1080, 720) self.controller.iconbitmap("agriculture_plants_icon.ico") self.controller.configure(bg="white") self.controller.attributes("-topmost", 1) heading_label2 = tk.Label(self, text='Data Visualization - Mote2 Data', font=("Times_New_Roman 20"), fg='black', bg='#b3d9ff') heading_label2.pack(pady=50) button_frame = tk.Frame(self, bg='#b3d9ff') button_frame.pack(fill='both', expand=True) button_frame2 = tk.Frame(self, bg='#b3d9ff') button_frame2.pack(fill = 'both', expand = True) def temp(): pass temp_button = tk.Button(button_frame, text = 'Tempeture Graph', font=("Times_New_Roman 12"), command = temp, relief = 'raised', borderwidth = 3, width = 16, height = 4) temp_button.grid(row = 0, column = 0, pady = 10, padx = 30) def hum(): pass hum_button = tk.Button(button_frame, text = 'Humidity Graph', font=("Times_New_Roman 12"), command = hum, relief = 'raised', borderwidth = 3, width = 16, height = 4) hum_button.grid(row = 0, column = 1, pady = 10, padx = 10) def lig(): pass lig_button = tk.Button(button_frame, text='Light Graph', font=("Times_New_Roman 12"), command=hum, relief='raised', borderwidth=3, width=16, height=4) lig_button.grid(row=1, column=0, pady=10, padx=10) def vib(): pass vib_button = tk.Button(button_frame, text='Vibration Graph', font=("Times_New_Roman 12"), command=hum, relief='raised', borderwidth=3, width=16, height=4) vib_button.grid(row=1, column=1, pady=10, padx=10) def back1(): controller.show_frame('MotesPage') back1_button = tk.Button(button_frame2, text = 'Back', font=("Times_New_Roman 15"), command = back1, relief = 'raised', borderwidth = 3, width = 10, height = 2) back1_button.grid(row = 0, column= 0, pady = 10, padx = 10) text_window = tk.Frame(button_frame, pady =10, padx = 50) text_window.configure(bg = '#b3d9ff') text_window.grid(row=0, column=2, rowspan = 6, columnspan = 2, sticky = "nsew") text = tk.Text(text_window, width = 50, height = 20, font = ("Times_New_Roman 15")) text.grid(row=0, column=2, rowspan = 6, columnspan = 2, pady = 5, padx = 5) scrollbar = tk.Scrollbar(text_window, command = text.yview) text['yscroll'] = scrollbar.set scrollbar.grid(row=0, column=4, rowspan = 6, sticky = "ns") data_log = """Friedrich Wilhelm Nietzsche, 15 October 1844 – 25 August 1900) was a German philosopher, cultural critic, composer, poet, writer, and philologist whose work has exerted a profound influence on modern intellectual history. He began his career as a classical philologist before turning to philosophy. He became the youngest person ever to hold the Chair of Classical Philology at the University of Basel in 1869 at the age of 24.[44] Nietzsche resigned in 1879 due to health problems that plagued him most of his life; he completed much of his core writing in the following decade.[45] In 1889, at age 44, he suffered a collapse and afterward a complete loss of his mental faculties. He lived his remaining years in the care of his mother until her death in 1897 and then with his sister Elisabeth Förster-Nietzsche. Nietzsche died in 1900. Nietzsche's writing spans philosophical polemics, poetry, cultural criticism, and fiction while displaying a fondness for aphorism and irony.[47] Prominent elements of his philosophy include his radical critique of truth in favor of perspectivism; a genealogical critique of religion and Christian morality and related theory of master–slave morality;[40][48][i] the aesthetic affirmation of life in response to both the "death of God" and the profound crisis of nihilism;[40] the notion of Apollonian and Dionysian forces; and a characterization of the human subject as the expression of competing wills, collectively understood as the will to power.[49] He also developed influential concepts such as the Übermensch and the doctrine of eternal return.[50][51] In his later work, he became increasingly preoccupied with the creative powers of the individual to overcome cultural and moral mores in pursuit of new values and aesthetic health.[43] His body of work touched a wide range of topics, including art, philology, history, religion, tragedy, culture, and science, and drew inspiration from figures such as Socrates, Zoroaster, Arthur Schopenhauer,[23] Ralph Waldo Emerson, Richard Wagner[23] and Johann Wolfgang von Goethe.""" text.insert(tk.INSERT,data_log) class Mote3Page(tk.Frame): def __init__(self, parent, controller): tk.Frame.__init__(self, parent, bg='#b3d9ff') self.controller = controller self.controller.title("Data Visualization") self.controller.geometry("1080x720") self.controller.maxsize(1080, 720) self.controller.minsize(1080, 720) self.controller.iconbitmap("agriculture_plants_icon.ico") self.controller.configure(bg="white") self.controller.attributes("-topmost", 1) heading_label2 = tk.Label(self, text='Data Visualization - Mote3 Data', font=("Times_New_Roman 20"), fg='black', bg='#b3d9ff') heading_label2.pack(pady=50) button_frame = tk.Frame(self, bg='#b3d9ff') button_frame.pack(fill='both', expand=True) button_frame2 = tk.Frame(self, bg='#b3d9ff') button_frame2.pack(fill = 'both', expand = True) def temp(): pass temp_button = tk.Button(button_frame, text = 'Tempeture Graph', font=("Times_New_Roman 12"), command = temp, relief = 'raised', borderwidth = 3, width = 16, height = 4) temp_button.grid(row = 0, column = 0, pady = 10, padx = 30) def hum(): pass hum_button = tk.Button(button_frame, text = 'Humidity Graph', font=("Times_New_Roman 12"), command = hum, relief = 'raised', borderwidth = 3, width = 16, height = 4) hum_button.grid(row = 0, column = 1, pady = 10, padx = 10) def lig(): pass lig_button = tk.Button(button_frame, text='Light Graph', font=("Times_New_Roman 12"), command=hum, relief='raised', borderwidth=3, width=16, height=4) lig_button.grid(row=1, column=0, pady=10, padx=10) def vib(): pass vib_button = tk.Button(button_frame, text='Vibration Graph', font=("Times_New_Roman 12"), command=hum, relief='raised', borderwidth=3, width=16, height=4) vib_button.grid(row=1, column=1, pady=10, padx=10) def back1(): controller.show_frame('MotesPage') back1_button = tk.Button(button_frame2, text = 'Back', font=("Times_New_Roman 15"), command = back1, relief = 'raised', borderwidth = 3, width = 10, height = 2) back1_button.grid(row = 0, column= 0, pady = 10, padx = 10) text_window = tk.Frame(button_frame, pady =10, padx = 50) text_window.configure(bg = '#b3d9ff') text_window.grid(row=0, column=2, rowspan = 6, columnspan = 2, sticky = "nsew") text = tk.Text(text_window, width = 50, height = 20, font = ("Times_New_Roman 15")) text.grid(row=0, column=2, rowspan = 6, columnspan = 2, pady = 5, padx = 5) scrollbar = tk.Scrollbar(text_window, command = text.yview) text['yscroll'] = scrollbar.set scrollbar.grid(row=0, column=4, rowspan = 6, sticky = "ns") data_log = """Friedrich Wilhelm Nietzsche, 15 October 1844 – 25 August 1900) was a German philosopher, cultural critic, composer, poet, writer, and philologist whose work has exerted a profound influence on modern intellectual history. He began his career as a classical philologist before turning to philosophy. He became the youngest person ever to hold the Chair of Classical Philology at the University of Basel in 1869 at the age of 24.[44] Nietzsche resigned in 1879 due to health problems that plagued him most of his life; he completed much of his core writing in the following decade.[45] In 1889, at age 44, he suffered a collapse and afterward a complete loss of his mental faculties. He lived his remaining years in the care of his mother until her death in 1897 and then with his sister Elisabeth Förster-Nietzsche. Nietzsche died in 1900. Nietzsche's writing spans philosophical polemics, poetry, cultural criticism, and fiction while displaying a fondness for aphorism and irony.[47] Prominent elements of his philosophy include his radical critique of truth in favor of perspectivism; a genealogical critique of religion and Christian morality and related theory of master–slave morality;[40][48][i] the aesthetic affirmation of life in response to both the "death of God" and the profound crisis of nihilism;[40] the notion of Apollonian and Dionysian forces; and a characterization of the human subject as the expression of competing wills, collectively understood as the will to power.[49] He also developed influential concepts such as the Übermensch and the doctrine of eternal return.[50][51] In his later work, he became increasingly preoccupied with the creative powers of the individual to overcome cultural and moral mores in pursuit of new values and aesthetic health.[43] His body of work touched a wide range of topics, including art, philology, history, religion, tragedy, culture, and science, and drew inspiration from figures such as Socrates, Zoroaster, Arthur Schopenhauer,[23] Ralph Waldo Emerson, Richard Wagner[23] and Johann Wolfgang von Goethe.""" text.insert(tk.INSERT,data_log) if __name__ == "__main__": app = SampleApp() app.mainloop()

45.028777

121

0.52117

2,665

25,036

4.801876

0.124953

0.04376

0.027194

0.038525

0.930843

0.918497

0.905603

0.899117

0.890209

0.887552

0

0.048593

0.396669

25,036

556

122

45.028777

0.798213

0.001837

0

0.855556

0

0.026667

0.339964

0.005403

0

1

0.06

false

0.026667

0.004444

0

0.077778

0

null

0

1

0

1

0

null

0

7

f809ee7c3f75547a5a8c1b48422176535696e24e

701

py

Python

Day3/3b.py

nint8835/AdventOfCode2019

7afd21eafba749761433594104f257b424bf7dce

[ "MIT" ]

2

2019-12-07T21:34:55.000Z

2019-12-07T22:19:07.000Z

Day3/3b.py

nint8835/AdventOfCode2019

7afd21eafba749761433594104f257b424bf7dce

[ "MIT" ]

null

Day3/3b.py

nint8835/AdventOfCode2019

7afd21eafba749761433594104f257b424bf7dce

[ "MIT" ]

null

print((a:=(w:=lambda m,x,y,p,s:w(m[1:],{"U":lambda m:x,"D":lambda m:x,"R":lambda m:x+m,"L":lambda m:x-m}[m[0][0]](int(m[0][1:])),{"U":lambda m:y+m,"D":lambda m:y-m,"R":lambda m:y,"L":lambda m:y}[m[0][0]](int(m[0][1:])),{**p,**({"U":lambda m:{(x,y+i):s+i for i in range(1,m+1) if (x,y+m)!=(0,0)},"D":lambda m:{(x,y-i):s+i for i in range(1,m+1) if (x,y-m)!=(0,0)},"R":lambda m:{(x+i,y):s+i for i in range(1,m+1) if (x+i,y)!=(0,0)},"L":lambda m:{(x-i,y):s+i for i in range(1,m+1) if (x-i,y)!=(0,0)}}[m[0][0]](int(m[0][1:])))},s+int(m[0][1:])) if len(m)!=0 else p)((f:=open("i").read().split("\n"))[0].split(","),0,0,{},0),sorted([s+a[c] for c,s in w(f[1].split(","),0,0,{},0).items() if c in a])[0])[1])

350.5

700

0.492154

198

701

1.742424

0.156566

0.263768

0.208696

0.069565

0.46087

0.382609

0

0.064516

0.071327

701

1

701

0.465438

0

0.024251

0

1

0

true

0

1

0

1

null

1

0

1

0

1

0

null

0

1

0

1

0

8

f88bf0ada230c866bc2e16c4dc07a441747dfb37

2,510

py

Python

tests/dict/test_dict_generation.py

nikitanovosibirsk/blahblah

17a1a6c1a4f2f5f8528090ee40d4a6be08ababa3

[ "Apache-2.0" ]

null

tests/dict/test_dict_generation.py

nikitanovosibirsk/blahblah

17a1a6c1a4f2f5f8528090ee40d4a6be08ababa3

[ "Apache-2.0" ]

1

2021-12-05T11:41:37.000Z

tests/dict/test_dict_generation.py

nikitanovosibirsk/blahblah

17a1a6c1a4f2f5f8528090ee40d4a6be08ababa3

[ "Apache-2.0" ]

null

from unittest.mock import call from baby_steps import given, then, when from district42 import optional, schema from .._fixtures import * # noqa: F401, F403 from .._utils import schema_mock def test_dict_generation(*, generate, random_): with given: sch = schema.dict with when: res = generate(sch) with then: assert res == {} def test_dict_empty_keys_generation(*, generate, random_): with given: sch = schema.dict({}) with when: res = generate(sch) with then: assert res == {} def test_dict_keys_generation(*, generate, generator, random_): with given: type1_ = schema_mock(return_value=42) type2_ = schema_mock(return_value="banana") sch = schema.dict({ "id": type1_, "name": type2_, }) with when: res = generate(sch) with then: assert res == { "id": 42, "name": "banana", } assert random_.mock_calls == [] assert type1_.mock_calls == [call.__accept__(generator)] assert type2_.mock_calls == [call.__accept__(generator)] def test_dict_relaxed_empty_keys_generation(*, generate, random_): with given: sch = schema.dict({...: ...}) with when: res = generate(sch) with then: assert res == {} def test_dict_relaxed_keys_generation(*, generate, generator, random_): with given: type1_ = schema_mock(return_value=42) type2_ = schema_mock(return_value="banana") sch = schema.dict({ "id": type1_, "name": type2_, ...: ... }) with when: res = generate(sch) with then: assert res == { "id": 42, "name": "banana", } assert random_.mock_calls == [] assert type1_.mock_calls == [call.__accept__(generator)] assert type2_.mock_calls == [call.__accept__(generator)] def test_dict_with_optional_key_generation(*, generate, generator, random_): with given: type1_ = schema_mock(return_value=42) type2_ = schema_mock(return_value="banana") sch = schema.dict({ "id": type1_, optional("name"): type2_, }) with when: res = generate(sch) with then: assert res == {"id": 42} assert random_.mock_calls == [] assert type1_.mock_calls == [call.__accept__(generator)] assert type2_.mock_calls == []

23.904762

76

0.576096

272

2,510

4.966912

0.158088

0.059956

0.048853

0.084382

0.855662

0

0.021814

0.305976

2,510

104

77

24.134615

0.753731

0.006375

0

0.74359

0

0.02488

0

0.192308

1

0.076923

false

0

0.064103

0

0.141026

0

null

0

1

0

1

0

null

0

7

f8b8f7054c7d06ea41a5714f828e208da37cd076

7,216

py

Python

Judger/tests/Python_and_core/testcase/seccomp/test.py

YuliNet/OnlineJudge_BasedOnQDU

cbd7be5e56bab56a4c819f37ea9c735e3b366e42

[ "MIT" ]

19

2020-06-17T13:57:51.000Z

2022-01-06T10:24:49.000Z

Judger/tests/Python_and_core/testcase/seccomp/test.py

YuliNet/OnlineJudge_BasedOnQDU

cbd7be5e56bab56a4c819f37ea9c735e3b366e42

[ "MIT" ]

26

2020-06-18T03:11:13.000Z

2022-03-12T00:36:02.000Z

Judger/tests/Python_and_core/testcase/seccomp/test.py

YuliNet/OnlineJudge_BasedOnQDU

cbd7be5e56bab56a4c819f37ea9c735e3b366e42

[ "MIT" ]

11

2020-06-17T03:32:17.000Z

2020-12-18T06:01:15.000Z

# coding=utf-8 from __future__ import print_function import _judger import signal import shutil import os from .. import base class SeccompTest(base.BaseTestCase): def setUp(self): print("Running", self._testMethodName) self.workspace = self.init_workspace("integration") def _compile_c(self, src_name, extra_flags=None): return super(SeccompTest, self)._compile_c("../../test_src/seccomp/" + src_name, extra_flags) def test_fork(self): config = self.base_config config["exe_path"] = self._compile_c("fork.c") config["output_path"] = config["error_path"] = self.output_path() result = _judger.run(**config) # without seccomp self.assertEqual(result["result"], _judger.RESULT_SUCCESS) # with general seccomp config["seccomp_rule_name"] = "general" result = _judger.run(**config) self.assertEqual(result["result"], _judger.RESULT_RUNTIME_ERROR) self.assertEqual(result["signal"], self.BAD_SYSTEM_CALL) # with c_cpp seccomp config["seccomp_rule_name"] = "c_cpp" result = _judger.run(**config) self.assertEqual(result["result"], _judger.RESULT_RUNTIME_ERROR) self.assertEqual(result["signal"], self.BAD_SYSTEM_CALL) def test_execve(self): config = self.base_config config["exe_path"] = self._compile_c("execve.c") config["output_path"] = config["error_path"] = self.output_path() result = _judger.run(**config) # without seccomp self.assertEqual(result["result"], _judger.RESULT_SUCCESS) self.assertEqual("Helloworld\n", self.output_content(config["output_path"])) # with general seccomp config["seccomp_rule_name"] = "general" result = _judger.run(**config) self.assertEqual(result["result"], _judger.RESULT_RUNTIME_ERROR) self.assertEqual(result["signal"], self.BAD_SYSTEM_CALL) # with c_cpp seccomp config["seccomp_rule_name"] = "c_cpp" result = _judger.run(**config) self.assertEqual(result["result"], _judger.RESULT_RUNTIME_ERROR) self.assertEqual(result["signal"], self.BAD_SYSTEM_CALL) def test_write_file_using_open(self): config = self.base_config config["exe_path"] = self._compile_c("write_file_open.c") config["output_path"] = config["error_path"] = self.output_path() path = os.path.join(self.workspace, "file1.txt") config["args"] = [path, "w"] result = _judger.run(**config) # without seccomp self.assertEqual(result["result"], _judger.RESULT_SUCCESS) self.assertEqual("", self.output_content(path)) # with general seccomp config["seccomp_rule_name"] = "general" result = _judger.run(**config) self.assertEqual(result["result"], _judger.RESULT_RUNTIME_ERROR) self.assertEqual(result["signal"], self.BAD_SYSTEM_CALL) # with c_cpp seccomp config["seccomp_rule_name"] = "c_cpp" result = _judger.run(**config) self.assertEqual(result["result"], _judger.RESULT_RUNTIME_ERROR) self.assertEqual(result["signal"], self.BAD_SYSTEM_CALL) def test_read_write_file_using_open(self): config = self.base_config config["exe_path"] = self._compile_c("write_file_open.c") config["output_path"] = config["error_path"] = self.output_path() path = os.path.join(self.workspace, "file2.txt") config["args"] = [path, "w+"] result = _judger.run(**config) # without seccomp self.assertEqual(result["result"], _judger.RESULT_SUCCESS) self.assertEqual("", self.output_content(path)) # with general seccomp config["seccomp_rule_name"] = "general" result = _judger.run(**config) self.assertEqual(result["result"], _judger.RESULT_RUNTIME_ERROR) self.assertEqual(result["signal"], self.BAD_SYSTEM_CALL) # with c_cpp seccomp config["seccomp_rule_name"] = "c_cpp" result = _judger.run(**config) self.assertEqual(result["result"], _judger.RESULT_RUNTIME_ERROR) self.assertEqual(result["signal"], self.BAD_SYSTEM_CALL) def test_write_file_using_openat(self): config = self.base_config config["exe_path"] = self._compile_c("write_file_openat.c") config["output_path"] = config["error_path"] = self.output_path() path = os.path.join(self.workspace, "file3.txt") config["args"] = [path, "w"] result = _judger.run(**config) # without seccomp self.assertEqual(result["result"], _judger.RESULT_SUCCESS) self.assertEqual("", self.output_content(path)) # with general seccomp config["seccomp_rule_name"] = "general" result = _judger.run(**config) self.assertEqual(result["result"], _judger.RESULT_RUNTIME_ERROR) self.assertEqual(result["signal"], self.BAD_SYSTEM_CALL) # with c_cpp seccomp config["seccomp_rule_name"] = "c_cpp" result = _judger.run(**config) self.assertEqual(result["result"], _judger.RESULT_RUNTIME_ERROR) self.assertEqual(result["signal"], self.BAD_SYSTEM_CALL) def test_read_write_file_using_openat(self): config = self.base_config config["exe_path"] = self._compile_c("write_file_openat.c") config["output_path"] = config["error_path"] = self.output_path() path = os.path.join(self.workspace, "file4.txt") config["args"] = [path, "w+"] result = _judger.run(**config) # without seccomp self.assertEqual(result["result"], _judger.RESULT_SUCCESS) self.assertEqual("", self.output_content(path)) # with general seccomp config["seccomp_rule_name"] = "general" result = _judger.run(**config) self.assertEqual(result["result"], _judger.RESULT_RUNTIME_ERROR) self.assertEqual(result["signal"], self.BAD_SYSTEM_CALL) # with c_cpp seccomp config["seccomp_rule_name"] = "c_cpp" result = _judger.run(**config) self.assertEqual(result["result"], _judger.RESULT_RUNTIME_ERROR) self.assertEqual(result["signal"], self.BAD_SYSTEM_CALL) def test_sysinfo(self): config = self.base_config config["exe_path"] = self._compile_c("sysinfo.c") result = _judger.run(**config) self.assertEqual(result["result"], _judger.RESULT_SUCCESS) def test_exceveat(self): config = self.base_config config["exe_path"] = self._compile_c("execveat.c") config["output_path"] = config["error_path"] = self.output_path() result = _judger.run(**config) if "syscall not found" in self.output_content(config["output_path"]): print("execveat syscall not found, test ignored") return self.assertEqual(result["result"], _judger.RESULT_SUCCESS) # with general seccomp config["seccomp_rule_name"] = "general" result = _judger.run(**config) self.assertEqual(result["result"], _judger.RESULT_RUNTIME_ERROR) self.assertEqual(result["signal"], self.BAD_SYSTEM_CALL)

41.234286

101

0.652993

848

7,216

5.264151

0.095519

0.112903

0.159946

0.09879

0.894041

0.880152

0.878584

0

0.000882

0.214385

7,216

174

102

41.471264

0.786558

0.051136

0

0.748032

0

0.147985

0.00337

0

0.307087

1

0.07874

false

0

0.047244

0.007874

0.149606

0.023622

0

null

0

1

0

1

0

null

0

7

f8bd09ba4d53da46b24c5db1b278e51afaa78974

4,836

py

Python

executor/network_setup.py

samueljero/TCPwn

8514a9fa53123e4abe45460d008de2f5d91500f8

[ "BSD-3-Clause" ]

14

2018-02-20T07:11:40.000Z

2021-09-23T08:31:59.000Z

executor/network_setup.py

samueljero/TCPwn

8514a9fa53123e4abe45460d008de2f5d91500f8

[ "BSD-3-Clause" ]

1

2018-08-18T23:06:53.000Z

2018-08-21T00:01:06.000Z

executor/network_setup.py

samueljero/TCPwn

8514a9fa53123e4abe45460d008de2f5d91500f8

[ "BSD-3-Clause" ]

9

2017-12-01T15:45:18.000Z

2020-04-14T02:42:32.000Z

#!/usr/bin/env python # Samuel Jero <sjero@purdue.edu> # Network setup script import os import argparse import sys user = os.getlogin() def do_network(cmd, num): global user if cmd == "start": #Host bridge os.system("sudo brctl addbr brhost") os.system("sudo ifconfig brhost 10.0.0.1 netmask 255.255.0.0 up") os.system("touch /tmp/ip-mac") os.system("echo \"\" >> /tmp/ip-mac") #Host VM taps and DHCP config for i in range(0,6): os.system("sudo tunctl -u {0} -t tap-n{1}-h{2}".format(user, str(num),str(i))) os.system("sudo ifconfig tap-n{0}-h{1} 0.0.0.0 up".format(str(num),str(i))) os.system("sudo brctl addif brhost tap-n{0}-h{1}".format(str(num),str(i))) os.system("echo \"10.0.1.{:d} 00:00:00:01:00:{:02X}\" >> /tmp/ip-mac".format((num-1)*6+i+1,(num-1)*6+i+1)) #Create Bridges os.system("sudo brctl addbr br-n{0}-1".format(str(num))) os.system("sudo brctl addbr br-n{0}-2".format(str(num))) os.system("sudo brctl addbr br-n{0}-3".format(str(num))) os.system("sudo ifconfig br-n{0}-1 up".format(str(num))) os.system("sudo ifconfig br-n{0}-2 up".format(str(num))) os.system("sudo ifconfig br-n{0}-3 up".format(str(num))) os.system("sudo ifconfig br-n{0}-1 txqueuelen 50".format(str(num))) os.system("sudo ifconfig br-n{0}-2 txqueuelen 50".format(str(num))) os.system("sudo ifconfig br-n{0}-3 txqueuelen 50".format(str(num))) #Create Main Network for i in range(0,3): os.system("sudo tunctl -u {0} -t tap-n{1}-b1-h{2}".format(user, str(num),str(i))) os.system("sudo ifconfig tap-n{0}-b1-h{1} 0.0.0.0 up".format(str(num),str(i))) os.system("sudo ifconfig tap-n{0}-b1-h{1} txqueuelen 50".format(str(num),str(i))) os.system("sudo brctl addif br-n{0}-1 tap-n{0}-b1-h{1}".format(str(num),str(i))) for i in range(0,3): os.system("sudo tunctl -u {0} -t tap-n{1}-b2-h{2}".format(user, str(num),str(i))) os.system("sudo ifconfig tap-n{0}-b2-h{1} 0.0.0.0 up".format(str(num),str(i))) os.system("sudo ifconfig tap-n{0}-b2-h{1} txqueuelen 50".format(str(num),str(i))) os.system("sudo brctl addif br-n{0}-2 tap-n{0}-b2-h{1}".format(str(num),str(i))) for i in range(0,2): os.system("sudo tunctl -u {0} -t tap-n{1}-b3-h{2}".format(user, str(num),str(i))) os.system("sudo ifconfig tap-n{0}-b3-h{1} 0.0.0.0 up".format(str(num),str(i))) os.system("sudo ifconfig tap-n{0}-b3-h{1} txqueuelen 50".format(str(num),str(i))) os.system("sudo brctl addif br-n{0}-3 tap-n{0}-b3-h{1}".format(str(num),str(i))) #Restart DHCP os.system("sudo /usr/local/sbin/restart-dhcpd < /tmp/ip-mac") elif cmd == "stop": #Remove main network for i in range(0,3): os.system("sudo ifconfig tap-n{0}-b1-h{1} down".format(str(num),str(i))) os.system("sudo brctl delif br-n{0}-1 tap-n{0}-b1-h{1}".format(str(num),str(i))) os.system("sudo tunctl -d tap-n{1}-b1-h{2}".format(user, str(num),str(i))) for i in range(0,3): os.system("sudo ifconfig tap-n{0}-b2-h{1} down".format(str(num),str(i))) os.system("sudo brctl delif br-n{0}-2 tap-n{0}-b2-h{1}".format(str(num),str(i))) os.system("sudo tunctl -d tap-n{1}-b2-h{2}".format(user, str(num),str(i))) for i in range(0,2): os.system("sudo ifconfig tap-n{0}-b3-h{1} down".format(str(num),str(i))) os.system("sudo brctl delif br-n{0}-3 tap-n{0}-b3-h{1}".format(str(num),str(i))) os.system("sudo tunctl -d tap-n{1}-b3-h{2}".format(user, str(num),str(i))) #Remove Bridges os.system("sudo ifconfig br-n{0}-1 down".format(str(num))) os.system("sudo ifconfig br-n{0}-2 down".format(str(num))) os.system("sudo ifconfig br-n{0}-3 down".format(str(num))) os.system("sudo brctl delbr br-n{0}-1".format(str(num))) os.system("sudo brctl delbr br-n{0}-2".format(str(num))) os.system("sudo brctl delbr br-n{0}-3".format(str(num))) #Remove VM taps for i in range(0,6): os.system("sudo ifconfig tap-n{0}-h{1} down".format(str(num),str(i))) os.system("sudo brctl delif brhost tap-n{0}-h{1}".format(str(num),str(i))) os.system("sudo tunctl -d tap-n{1}-h{2}".format(user, str(num),str(i))) #Remove Host Bridge os.system("sudo ifconfig brhost down") os.system("sudo brctl delbr brhost") #Cleanup DHCP os.system("rm /tmp/ip-mac") else: return False return True if __name__ == "__main__": if len(sys.argv)!= 4: print "Usage: network_setup.py start|stop start end" sys.exit() cmd = sys.argv[1] start = int(sys.argv[2]) end = int(sys.argv[3]) + 1 for i in range(start, end): do_network(cmd, i)

48.848485

109

0.592225

918

4,836

3.107843

0.11329

0.143007

0.197687

0.094637

0.794252

0.740273

0.733964

0.71749

0.695408

0

0.052551

0.193342

4,836

98

110

49.346939

0.6788

0.04818

0

0.101266

0

0.151899

0.384749

0.006318

0

null

0

0.037975

null

0.012658

0

null

0

1

0

1

0

null

0

1

0

7

3e74e7721167d64c2035fc92105afe8adbad0d0c

7,486

py

Python

main.py

yasouysal/Subtitle-Recognition

9b011071ce74a345c7e1fa16e5374a4bf3cc04a0

[ "Apache-2.0" ]

1

2022-03-19T20:14:16.000Z

main.py

yasouysal/Subtitle-Recognition

9b011071ce74a345c7e1fa16e5374a4bf3cc04a0

[ "Apache-2.0" ]

null

main.py

yasouysal/Subtitle-Recognition

9b011071ce74a345c7e1fa16e5374a4bf3cc04a0

[ "Apache-2.0" ]

null

# coding=utf-8 from ExperimentSuite import ExperimentSuite import tensorflow as tf from Preprocessor import Preprocessor from Vectorizer import Vectorizer import OneHotEncoder import numpy as np DEFAULT_EPOCH = 75 DEFAULT_LAYERS = (512,) DEFAULT_ACTIVATION = tf.nn.relu DEFAULT_LOSS = "categorical_hinge" if __name__ == "__main__": # TODO: Make your experiments here es = ExperimentSuite() # p = Preprocessor() # p.preprocess() # print "preprocess is done" # V1 = Vectorizer(3, 0.97, 0.5) # V1.fit(es.train_contents) # V2 = Vectorizer(3, 0.97, 0.25) # V2.fit(es.train_contents) V3 = Vectorizer(3, 0.97, 0.1) V3.fit(es.train_contents) # print "vectorizer-fit is done" # existance_vectorized_train_data_V1 = V1.transform(es.train_contents, "existance") # existance_vectorized_test_data_V1 = V1.transform(es.test_contents, "existance") # count_vectorized_train_data_V1 = V1.transform(es.train_contents, "count") # count_vectorized_test_data_V1 = V1.transform(es.test_contents, "count") # tf_idf_vectorized_train_data_V1 = V1.transform(es.train_contents, "tf-idf") # tf_idf_vectorized_test_data_V1 = V1.transform(es.test_contents, "tf-idf") # existance_vectorized_train_data_V2 = V2.transform(es.train_contents, "existance") # existance_vectorized_test_data_V2 = V2.transform(es.test_contents, "existance") # count_vectorized_train_data_V2 = V2.transform(es.train_contents, "count") # count_vectorized_test_data_V2 = V2.transform(es.test_contents, "count") # tf_idf_vectorized_train_data_V2 = V2.transform(es.train_contents, "tf-idf") # tf_idf_vectorized_test_data_V2 = V2.transform(es.test_contents, "tf-idf") # existance_vectorized_train_data_V3 = V3.transform(es.train_contents, "existance") # existance_vectorized_test_data_V3 = V3.transform(es.test_contents, "existance") # count_vectorized_train_data_V3 = V3.transform(es.train_contents, "count") # count_vectorized_test_data_V3 = V3.transform(es.test_contents, "count") tf_idf_vectorized_train_data_V3 = V3.transform(es.train_contents, "tf-idf") tf_idf_vectorized_test_data_V3 = V3.transform(es.test_contents, "tf-idf") tbCallBack = tf.keras.callbacks.TensorBoard(log_dir='./Graph', histogram_freq=0, write_graph=True, write_images=True) # print "transform and callback is done" # result1 = es.train_model(DEFAULT_LAYERS, tbCallBack, existance_vectorized_train_data_V1, es.train_y, existance_vectorized_test_data_V1, # es.test_y, DEFAULT_LOSS, DEFAULT_ACTIVATION, DEFAULT_EPOCH) # print result1 # result2 = es.train_model(DEFAULT_LAYERS, tbCallBack, count_vectorized_train_data_V1, es.train_y, count_vectorized_test_data_V1, # es.test_y, DEFAULT_LOSS, DEFAULT_ACTIVATION, DEFAULT_EPOCH) # print result2 # result3 = es.train_model(DEFAULT_LAYERS, tbCallBack, tf_idf_vectorized_train_data_V1, es.train_y, tf_idf_vectorized_test_data_V1, # es.test_y, DEFAULT_LOSS, DEFAULT_ACTIVATION, DEFAULT_EPOCH) # print result3 # result4 = es.train_model(DEFAULT_LAYERS, tbCallBack, existance_vectorized_train_data_V2, es.train_y, existance_vectorized_test_data_V2, # es.test_y, DEFAULT_LOSS, DEFAULT_ACTIVATION, DEFAULT_EPOCH) # print result4 # result5 = es.train_model(DEFAULT_LAYERS, tbCallBack, count_vectorized_train_data_V2, es.train_y, count_vectorized_test_data_V2, # es.test_y, DEFAULT_LOSS, DEFAULT_ACTIVATION, DEFAULT_EPOCH) # print result5 # result6 = es.train_model(DEFAULT_LAYERS, tbCallBack, tf_idf_vectorized_train_data_V2, es.train_y, tf_idf_vectorized_test_data_V2, # es.test_y, DEFAULT_LOSS, DEFAULT_ACTIVATION, DEFAULT_EPOCH) # print result6 # result7 = es.train_model(DEFAULT_LAYERS, tbCallBack, existance_vectorized_train_data_V3, es.train_y, existance_vectorized_test_data_V3, # es.test_y, DEFAULT_LOSS, DEFAULT_ACTIVATION, DEFAULT_EPOCH) # print result7 # result8 = es.train_model(DEFAULT_LAYERS, tbCallBack, count_vectorized_train_data_V3, es.train_y, count_vectorized_test_data_V3, # es.test_y, DEFAULT_LOSS, DEFAULT_ACTIVATION, DEFAULT_EPOCH) # print result8 # result9 = es.train_model(DEFAULT_LAYERS, tbCallBack, tf_idf_vectorized_train_data_V3, es.train_y, tf_idf_vectorized_test_data_V3, # es.test_y, DEFAULT_LOSS, DEFAULT_ACTIVATION, DEFAULT_EPOCH) # print result9 # # # bu 3lü countu farklı layerlarla test etmek icin # result2 = es.train_model((512,), tbCallBack, count_vectorized_train_data_V3, es.train_y, count_vectorized_test_data_V3, # es.test_y, DEFAULT_LOSS, DEFAULT_ACTIVATION, DEFAULT_EPOCH) # print result2 # result5 = es.train_model((512,256,), tbCallBack, count_vectorized_train_data_V3, es.train_y, count_vectorized_test_data_V3, # es.test_y, DEFAULT_LOSS, DEFAULT_ACTIVATION, DEFAULT_EPOCH) # print result5 # result8 = es.train_model((512,256,128), tbCallBack, count_vectorized_train_data_V3, es.train_y, count_vectorized_test_data_V3, # es.test_y, DEFAULT_LOSS, DEFAULT_ACTIVATION, DEFAULT_EPOCH) # print result8 # # # # result3 = es.train_model((512,), tbCallBack, tf_idf_vectorized_train_data_V3, es.train_y, tf_idf_vectorized_test_data_V3, # es.test_y, DEFAULT_LOSS, DEFAULT_ACTIVATION, DEFAULT_EPOCH) # print result3 # result6 = es.train_model((512,256,), tbCallBack, tf_idf_vectorized_train_data_V3, es.train_y, tf_idf_vectorized_test_data_V3, # es.test_y, DEFAULT_LOSS, DEFAULT_ACTIVATION, DEFAULT_EPOCH) # print result6 # result9 = es.train_model((512,256,128), tbCallBack, tf_idf_vectorized_train_data_V3, es.train_y, tf_idf_vectorized_test_data_V3, # es.test_y, DEFAULT_LOSS, DEFAULT_ACTIVATION, DEFAULT_EPOCH) # print result9 # result1 = es.train_model((512,), tbCallBack, tf_idf_vectorized_train_data_V3, es.train_y, tf_idf_vectorized_test_data_V3, # es.test_y, 'categorical_hinge', tf.nn.relu, DEFAULT_EPOCH) # print result1 # result2 = es.train_model((512,), tbCallBack, tf_idf_vectorized_train_data_V3, es.train_y, tf_idf_vectorized_test_data_V3, # es.test_y, 'categorical_crossentropy', tf.nn.relu, DEFAULT_EPOCH) # print result2 # result3 = es.train_model((512,), tbCallBack, tf_idf_vectorized_train_data_V3, es.train_y, tf_idf_vectorized_test_data_V3, # es.test_y, 'categorical_hinge', tf.nn.tanh, DEFAULT_EPOCH) # print result3 # result4 = es.train_model((512,), tbCallBack, tf_idf_vectorized_train_data_V3, es.train_y, tf_idf_vectorized_test_data_V3, # es.test_y, 'categorical_crossentropy', tf.nn.tanh, DEFAULT_EPOCH) # print result4 # result5 = es.train_model((512,), tbCallBack, tf_idf_vectorized_train_data_V3, es.train_y, tf_idf_vectorized_test_data_V3, # es.test_y, 'categorical_hinge', tf.nn.sigmoid, DEFAULT_EPOCH) # print result5 # result6 = es.train_model((512,), tbCallBack, tf_idf_vectorized_train_data_V3, es.train_y, tf_idf_vectorized_test_data_V3, # es.test_y, 'categorical_crossentropy', tf.nn.sigmoid, DEFAULT_EPOCH) # print result6 result = es.train_model((512,), tbCallBack, tf_idf_vectorized_train_data_V3, es.train_y, tf_idf_vectorized_test_data_V3, es.test_y, 'categorical_crossentropy', tf.nn.sigmoid, 500) print result

45.369697

141

0.746326

1,047

7,486

4.905444

0.092646

0.076324

0.093458

0.077687

0.866044

0.852804

0.832749

0.806854

0.763435

0.643107

0

0.034143

0.15883

7,486

164

142

45.646341

0.781483

0.794016

0

0.047091

0.016621

0

0.006098

0

null

0

0.285714

null

0.047619

0

null

0

1

0

null

0

1

0

7

3e8064f1b14cd0f02b2908b78554eacc91bcb521

33,367

py

Python

SCTF/2018 Finals/poly_pkc/solver.py

PurpEth/solved-hacking-problem

6f289d1647eb9c091caa580c7aae673e3ba02952

[ "Unlicense" ]

1

2021-08-24T22:16:41.000Z

SCTF/2018 Finals/poly_pkc/solver.py

PurpEth/solved-hacking-problem

6f289d1647eb9c091caa580c7aae673e3ba02952

[ "Unlicense" ]

null

SCTF/2018 Finals/poly_pkc/solver.py

PurpEth/solved-hacking-problem

6f289d1647eb9c091caa580c7aae673e3ba02952

[ "Unlicense" ]

null

from Crypto.Util.number import long_to_bytes as l2b order = 51 pub = [71310390893489944689496023538384590273480479577790659364289683346165713044517659824375418132621317272871004005705874716794106720299606351251857326868794687420678580513921323592626585428109604324817801257245994766462530696504897491647112793017094053700776353394558598875425321551598027446836612401496552702369L, 24141387205628359588751027036536471952710266387706490099467990572318163253735471351854583392464994484437088745521928566631489844630483073950579141140807033279671624978051983600714150455576997894708411771506138712743160749468496347236675843493265683988991881970104822488071226376954287596558379843269258673632L, 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75797315620976782831077460580470849581693352844594528489304537333675947841051361473975260786478614393362712311054578657322102896265342092471649909588791182743582311978811981947648347868829111279951309370698866977085606679696076527735878429102518802961113035611755931892247494977843916992979262437255747111467L, 52404731938077857255586577288748838253966990991440748107286182097142320439613112336293805375083241257585433071142941823799637948580093242429783657087130366877859399669015341894960656948465486114529753185077231990652658921158462495821318443962867950034199850973809883752981657767711481926052758219200262725617L] def egcd(a, b): if a == 0: return (b, 0, 1) g, y, x = egcd(b % a, a) return (g, x - (b//a) * y, y) def modinv(a, m): g, x, y = egcd(a, m) if g != 1: raise Exception('No modular inverse') return x % m A = [[0 for _ in range(order + 2)] for _ in range(order)] for y in range(order): for x in range(order): k = (x + y) % order A[k][x] = (A[k][x] + pub[y]) % N A[y][order+1] = enc[y] A[0][order] = 1 n = order for i in range(0, n): # Search for maximum in this column maxEl = abs(A[i][i]) maxRow = i for k in range(i+1, n): if abs(A[k][i]) > maxEl: maxEl = abs(A[k][i]) maxRow = k # Swap maximum row with current row (column by column) for k in range(i, n+2): A[maxRow][k], A[i][k] = A[i][k], A[maxRow][k] if i == n-1: assert A[i][i] == 0 break # Make all rows below this one 0 in current column for k in range(i+1, n): c = (-A[k][i] * modinv(A[i][i], N)) % N for j in range(i, n+2): if i == j: A[k][j] = 0 else: A[k][j] = (A[k][j] + c * A[i][j]) % N m = (A[order-1][order+1] * modinv(A[order-1][order], N)) % N print l2b(m)

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1

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e4735422f6baec2d7074ec0e9a76bb0fbcc9799a

9,421

py

Python

django/api/views.py

nah990/StockF

58f719728f4072186459d0ca5651624eab820c5e

[ "MIT" ]

null

django/api/views.py

nah990/StockF

58f719728f4072186459d0ca5651624eab820c5e

[ "MIT" ]

3

2021-12-27T02:05:58.000Z

2022-03-23T00:06:14.000Z

django/api/views.py

nah990/StockF

58f719728f4072186459d0ca5651624eab820c5e

[ "MIT" ]

null

from stock.models import StockByDate, StockInfo, SourceInfo from users.models import CustomUser from .serializers import * from stock.services import * from rest_framework import generics, serializers from rest_framework.views import APIView from rest_framework.response import Response from rest_framework.permissions import IsAuthenticated, AllowAny from rest_framework import status from .role import * from django.http import JsonResponse from django.contrib.auth.decorators import login_required, user_passes_test class StockByDateApiView(APIView): def get(self, request, *args, **kwargs): pk = kwargs['pk'] flag = StockByDateService.read_filtered(request.user, {"pk": pk}) if len(flag) == 0: return JsonResponse({'status': 'false', 'message': "This record doesn't exist"}, status=400) stock = StockByDateService.read_by_pk(request.user, pk) return Response(StockByDateSerializer(stock).data) def delete(self, request, *args, **kwargs): role = get_role_json(request) if not role['is_specialist'] and not role['is_superuser']: return JsonResponse({'status':'false','message':'You do not have rights to get the information'}, status=403) pk = kwargs['pk'] flag = StockByDateService.read_filtered(request.user, {"pk": pk}) if len(flag) == 0: return JsonResponse({'status': 'false', 'message': "This record doesn't exist"}, status=400) stock = StockByDateService.delete_by_pk(request.user, pk) return JsonResponse({'status': 'Ok', 'message': 'You deleted stock by date'}, status=200) def patch(self, request, *args, **kwargs): role = get_role_json(request) if not role['is_specialist'] and not role['is_superuser']: return JsonResponse({'status':'false','message':'You do not have rights to get the information'}, status=403) pk = kwargs['pk'] flag = StockByDateService.read_filtered(request.user, {"pk": pk}) if len(flag) == 0: return JsonResponse({'status': 'false', 'message': "This record doesn't exist"}, status=400) flag.update_by_pk(request.user,pk, request.data) return JsonResponse({'status': 'Ok', 'message': 'You changed stock by date data'}, status=200) class StockInfoApiView(APIView): def get(self, request, *args, **kwargs): pk = kwargs['pk'] flag = StockInfoService.read_filtered(request.user, {"pk": pk}) if len(flag) == 0: return JsonResponse({'status': 'false', 'message': "This record doesn't exist"}, status=400) stock = StockInfoService.read_by_pk(request.user, pk) return Response(StockInfoSerializer(stock).data) def delete(self, request, *args, **kwargs): role = get_role_json(request) if not role['is_specialist'] and not role['is_superuser']: return JsonResponse({'status':'false','message':'You do not have rights to get the information'}, status=403) pk = kwargs['pk'] flag = StockInfoService.read_filtered(request.user, {"pk": pk}) if len(flag) == 0: return JsonResponse({'status': 'false', 'message': "This record doesn't exist"}, status=400) stock = StockInfoService.delete_by_pk(request.user, pk) return JsonResponse({'status': 'Ok', 'message': 'You deleted stock by date'}, status=200) def patch(self, request, *args, **kwargs): role = get_role_json(request) if not role['is_specialist'] and not role['is_superuser']: return JsonResponse({'status':'false','message':'You do not have rights to get the information'}, status=403) pk = kwargs['pk'] flag = StockInfoService.read_filtered(request.user, {"pk": pk}) if len(flag) == 0: return JsonResponse({'status': 'false', 'message': "This record doesn't exist"}, status=400) flag.update_by_pk(request.user,pk, request.data) return JsonResponse({'status': 'Ok', 'message': 'You changed stock by date data'}, status=200) class SourceInfoApiView(APIView): def get(self, request, *args, **kwargs): pk = kwargs['pk'] flag = SourceInfoService.read_filtered(request.user, {"pk": pk}) if len(flag) == 0: return JsonResponse({'status': 'false', 'message': "This record doesn't exist"}, status=400) stock = SourceInfoService.read_by_pk(request.user, pk) return Response(SourceInfoSerializer(stock).data) def delete(self, request, *args, **kwargs): role = get_role_json(request) if not role['is_specialist'] and not role['is_superuser']: return JsonResponse({'status':'false','message':'You do not have rights to get the information'}, status=403) pk = kwargs['pk'] flag = SourceInfoService.read_filtered(request.user, {"pk": pk}) if len(flag) == 0: return JsonResponse({'status': 'false', 'message': "This record doesn't exist"}, status=400) stock = SourceInfoService.delete_by_pk(request.user, pk) return JsonResponse({'status': 'Ok', 'message': 'You deleted stock by date'}, status=200) def patch(self, request, *args, **kwargs): role = get_role_json(request) if not role['is_specialist'] and not role['is_superuser']: return JsonResponse({'status':'false','message':'You do not have rights to get the information'}, status=403) pk = kwargs['pk'] flag = SourceInfoService.read_filtered(request.user, {"pk": pk}) if len(flag) == 0: return JsonResponse({'status': 'false', 'message': "This record doesn't exist"}, status=400) flag.update_by_pk(request.user,pk, request.data) return JsonResponse({'status': 'Ok', 'message': 'You changed stock by date data'}, status=200) class CustomUserApiView(APIView): def get(self, request, *args, **kwargs): pk = kwargs['pk'] flag = CustomUserService.read_filtered(request.user, {"pk": pk}) if len(flag) == 0: return JsonResponse({'status': 'false', 'message': "This record doesn't exist"}, status=400) stock = CustomUserService.read_by_pk(request.user, pk) return Response(CustomUserSerializer(stock).data) def delete(self, request, *args, **kwargs): role = get_role_json(request) if not role['is_specialist'] and not role['is_superuser']: return JsonResponse({'status':'false','message':'You do not have rights to get the information'}, status=403) pk = kwargs['pk'] flag = CustomUserService.read_filtered(request.user, {"pk": pk}) if len(flag) == 0: return JsonResponse({'status': 'false', 'message': "This record doesn't exist"}, status=400) stock = CustomUserService.delete_by_pk(request.user, pk) return JsonResponse({'status': 'Ok', 'message': 'You deleted stock by date'}, status=200) def patch(self, request, *args, **kwargs): role = get_role_json(request) if not role['is_specialist'] and not role['is_superuser']: return JsonResponse({'status':'false','message':'You do not have rights to get the information'}, status=403) pk = kwargs['pk'] flag = CustomUserService.read_filtered(request.user, {"pk": pk}) if len(flag) == 0: return JsonResponse({'status': 'false', 'message': "This record doesn't exist"}, status=400) flag.update_by_pk(request.user,pk, request.data) return JsonResponse({'status': 'Ok', 'message': 'You changed stock by date data'}, status=200) class CreateUserApiView(APIView): permission_classes = (AllowAny,) def post(self, request): user = request.data serializer = CreateUserSerializer(data=user) serializer.is_valid(raise_exception=True) serializer.save() return Response(serializer.data, status=status.HTTP_201_CREATED) class StockByDateCreateApiView(APIView): def post(self, request): serializer = StockByDateSerializer(data=request.data) serializer.is_valid(raise_exception=True) serializer.save() return Response(serializer.data, status=status.HTTP_201_CREATED) class StockInfoCreateApiView(APIView): def post(self, request): serializer = StockInfoSerializer(data=request.data) serializer.is_valid(raise_exception=True) serializer.save() return Response(serializer.data, status=status.HTTP_201_CREATED) class SourceInfoCreateApiView(APIView): def post(self, request): serializer = SourceInfoSerializer(data=request.data) serializer.is_valid(raise_exception=True) serializer.save() return Response(serializer.data, status=status.HTTP_201_CREATED)

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Python

Chapter 04/ch41b.py

bpbpublications/TEST-YOUR-SKILLS-IN-PYTHON-LANGUAGE

f6a4194684515495d00aa38347a725dd08f39a0c

[ "MIT" ]

null

Chapter 04/ch41b.py

bpbpublications/TEST-YOUR-SKILLS-IN-PYTHON-LANGUAGE

f6a4194684515495d00aa38347a725dd08f39a0c

[ "MIT" ]

null

Chapter 04/ch41b.py

bpbpublications/TEST-YOUR-SKILLS-IN-PYTHON-LANGUAGE

f6a4194684515495d00aa38347a725dd08f39a0c

[ "MIT" ]

null

print(2 + 7 | 8 & 2) #9

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Python

research/glue/score_glue.py

legacyai/tf-transformers

65a5f9a4bcb3236483daa598a37b91673f56cb97

[ "Apache-2.0" ]

116

2021-03-15T09:48:41.000Z

2022-03-24T05:15:51.000Z

research/glue/score_glue.py

legacyai/tf-transformers

65a5f9a4bcb3236483daa598a37b91673f56cb97

[ "Apache-2.0" ]

4

2021-03-20T11:20:57.000Z

2022-01-05T04:59:07.000Z

research/glue/score_glue.py

legacyai/tf-transformers

65a5f9a4bcb3236483daa598a37b91673f56cb97

[ "Apache-2.0" ]

9

2021-03-17T04:14:48.000Z

2021-09-13T07:15:31.000Z

import pandas as pd import os def score_glue_joint(eval_folder): """Join GLUE evaluation""" # Infer num_layers from a saved file MNLI df_sample = pd.read_csv(os.path.join(eval_folder, "mnli_eval.csv")) num_layers = df_sample.shape[1] # MRPC df = pd.read_csv(os.path.join(eval_folder, "mrpc_eval.csv")) mrpc_scores = [] for i in range(num_layers): # Best per ;ayer score = ((df['accuracy_score_layer_{}'.format(i+1)] + + df['f1_score_layer_{}'.format(i+1)])/2.0).max() mrpc_scores.append(score) # MNLI df = pd.read_csv(os.path.join(eval_folder, "mnli_eval.csv")) df_mismatched = pd.read_csv(os.path.join(eval_folder, "mnli_eval_mismatched.csv")) mnli_scores = [] for i in range(num_layers): score = ((df['accuracy_score_layer_{}'.format(i+1)] + + df_mismatched['accuracy_score_layer_{}'.format(i+1)])/2.0).max() mnli_scores.append(score) # QQP df = pd.read_csv(os.path.join(eval_folder, "qqp_eval.csv")) qqp_scores = [] for i in range(num_layers): score = ((df['accuracy_score_layer_{}'.format(i+1)] + + df['f1_score_layer_{}'.format(i+1)])/2.0).max() qqp_scores.append(score) # STSB df = pd.read_csv(os.path.join(eval_folder, "stsb_eval.csv")) stsb_scores = [] for i in range(num_layers): score = ((df['pearsonr_layer_{}'.format(i+1)] + + df['spearmanr_layer_{}'.format(i+1)])/2.0).max() stsb_scores.append(score) # COLA df = pd.read_csv(os.path.join(eval_folder, "cola_eval.csv")) cola_scores = [] for i in range(num_layers): cola_scores.append(df['matthews_corrcoef_layer_{}'.format(i+1)].max()) # QNLI df = pd.read_csv(os.path.join(eval_folder, "qnli_eval.csv")) qnli_scores = [] for i in range(num_layers): qnli_scores.append(df['accuracy_score_layer_{}'.format(i+1)].max()) # RTE df = pd.read_csv(os.path.join(eval_folder, "rte_eval.csv")) rte_scores = [] for i in range(num_layers): rte_scores.append(df['accuracy_score_layer_{}'.format(i+1)].max()) # SST2 df = pd.read_csv(os.path.join(eval_folder, "sst2_eval.csv")) sst2_scores = [] for i in range(num_layers): sst2_scores.append(df['accuracy_score_layer_{}'.format(i+1)].max()) # Average df_results = pd.DataFrame([cola_scores, mnli_scores, mrpc_scores, qnli_scores, qqp_scores, rte_scores, sst2_scores, stsb_scores]) df_results.index = ['cola', 'mnli', 'mrpc', 'qnli', 'qqp', 'rte', 'sst2', 'stsb'] df_results.columns = ['layer_{}'.format(i+1) for i in range(num_layers)] df_results = df_results.transpose() df_results['glue_score'] = df_results.mean(axis=1) df_results.to_csv(os.path.join(eval_folder, "glue_results_joint.csv"), index=False) print("GLUE SCORE calculated") print("------------------------") print(df_results.to_markdown()) def score_glue(eval_folder): """Join GLUE evaluation""" # MRPC mrpc_scores = [] df = pd.read_csv(os.path.join(eval_folder, "mrpc_eval.csv")) score = ((df['accuracy_score'] + df['f1_score'])/2.0).max() mrpc_scores.append(score) # MNLI df = pd.read_csv(os.path.join(eval_folder, "mnli_eval.csv")) df_mismatched = pd.read_csv(os.path.join(eval_folder, "mnli_eval_mismatched.csv")) mnli_scores = [] score = ((df['accuracy_score'] + df_mismatched['accuracy_score'])/2.0).max() mnli_scores.append(score) # QQP df = pd.read_csv(os.path.join(eval_folder, "qqp_eval.csv")) qqp_scores = [] score =score = ((df['accuracy_score'] + df['f1_score'])/2.0).max() qqp_scores.append(score) # STSB df = pd.read_csv(os.path.join(eval_folder, "stsb_eval.csv")) stsb_scores = [] score = ((df['pearsonr'] + df['spearmanr'])/2.0).max() stsb_scores.append(score) # COLA df = pd.read_csv(os.path.join(eval_folder, "cola_eval.csv")) cola_scores = [] cola_scores.append(df['matthews_corrcoef'].max()) # QNLI df = pd.read_csv(os.path.join(eval_folder, "qnli_eval.csv")) qnli_scores = [] qnli_scores.append(df['accuracy_score'].max()) # RTE df = pd.read_csv(os.path.join(eval_folder, "rte_eval.csv")) rte_scores = [] rte_scores.append(df['accuracy_score'].max()) # SST2 df = pd.read_csv(os.path.join(eval_folder, "sst2_eval.csv")) sst2_scores = [] sst2_scores.append(df['accuracy_score'].max()) # Average df_results = pd.DataFrame([cola_scores, mnli_scores, mrpc_scores, qnli_scores, qqp_scores, rte_scores, sst2_scores, stsb_scores]) df_results.index = ['cola', 'mnli', 'mrpc', 'qnli', 'qqp', 'rte', 'sst2', 'stsb'] df_results = df_results.transpose() df_results['glue_score'] = df_results.mean(axis=1) df_results.to_csv(os.path.join(eval_folder, "glue_results.csv"), index=False) print("GLUE SCORE calculated") print("------------------------") print(df_results.to_markdown()) def score(eval_folder, return_all_layer_outputs): """Score GLUE based on subtasks""" if return_all_layer_outputs: score_glue_joint(eval_folder) else: score_glue(eval_folder)

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src/r2b2/simulation/minerva.py

gwexploratoryaudits/r2b2

76fcf1658e3055ee7e262a836fcb0b1af8e04233

[ "MIT" ]

4

2020-02-05T20:51:42.000Z

2021-07-06T19:24:35.000Z

src/r2b2/simulation/minerva.py

gwexploratoryaudits/r2b2

76fcf1658e3055ee7e262a836fcb0b1af8e04233

[ "MIT" ]

36

2020-02-13T19:18:30.000Z

2021-10-07T23:50:47.000Z

src/r2b2/simulation/minerva.py

gwexploratoryaudits/r2b2

76fcf1658e3055ee7e262a836fcb0b1af8e04233

[ "MIT" ]

1

2021-03-19T10:35:38.000Z

import math import random as r from typing import List from typing import Tuple from r2b2.minerva import Minerva from r2b2.simulator import Simulation from r2b2.simulator import histogram class MinervaOneRoundRisk(Simulation): """Simulate a 1-round Minerva audit for a given sample size to compute risk limit.""" sample_size: int total_relevant_ballots: int vote_dist: List[Tuple[str, int]] audit: Minerva def __init__(self, alpha, reported, sample_size, db_mode=True, db_host='localhost', db_name='r2b2', db_port=27017, user='writer', pwd='icanwrite', *args, **kwargs): super().__init__('minerva', alpha, reported, 'tie', True, db_mode, db_host, db_port, db_name, user, pwd, *args, **kwargs) self.sample_size = sample_size self.total_relevant_ballots = sum(self.reported.tally.values()) # FIXME: temporary until pairwise contest fix is implemented self.contest_ballots = self.reported.contest_ballots self.reported.contest_ballots = self.total_relevant_ballots self.reported.winner_prop = self.reported.tally[self.reported.reported_winners[0]] / self.reported.contest_ballots self.audit = Minerva(self.alpha, 1.0, self.reported) if sample_size < self.audit.min_sample_size: raise ValueError('Sample size is less than minimum sample size for audit.') # FIXME: sorted candidate list will be created by new branch, update once merged # Generate a sorted underlying vote distribution sorted_tally = sorted(self.reported.tally.items(), key=lambda x: x[1], reverse=True) self.vote_dist = [(sorted_tally[0][0], self.total_relevant_ballots // 2)] for i in range(1, len(sorted_tally)): self.vote_dist.append((sorted_tally[i][0], self.total_relevant_ballots)) self.vote_dist.append(('invalid', self.contest_ballots)) def trial(self, seed): """Execute a 1-round minerva audit (using r2b2.minerva.Minerva)""" r.seed(seed) # Draw a sample of a given size sample = [0 for i in range(len(self.vote_dist))] for i in range(self.sample_size): ballot = r.randint(1, self.contest_ballots) for j in range(len(sample)): if ballot <= self.vote_dist[j][1]: sample[j] += 1 break relevant_sample_size = self.sample_size - sample[-1] # Perform audit computations self.audit._reset() self.audit.rounds.append(relevant_sample_size) self.audit.current_dist_null() self.audit.current_dist_reported() p_value = self.audit.compute_risk(sample[0], relevant_sample_size) if p_value <= self.alpha: stop = True else: stop = False return { 'stop': stop, 'p_value': p_value, 'sample_size': self.sample_size, 'relevant_sample_size': relevant_sample_size, 'winner_ballots': sample[0] } def analyze(self, verbose: bool = False, hist: bool = False): """Analyze trials to get experimental risk. Args: verbose (bool): If true, analyze will print simulation analysis information. hist (bool): If true, analyze will generate and display 2 histograms: winner ballots found in the sample size and computed risk. """ if self.db_mode: trials = self.db.trial_lookup(self.sim_id) else: trials = self.trials num_trials = 0 stopped = 0 total_risk = 0 total_relevant_sampled = 0 winner_ballot_dist = [] risk_dist = [] for trial in trials: num_trials += 1 if trial['stop']: stopped += 1 total_relevant_sampled += trial['relevant_sample_size'] winner_ballot_dist.append(trial['winner_ballots']) total_risk += trial['p_value'] risk_dist.append(trial['p_value']) if verbose: print('Analysis\n========') print('Underlying election is tied\n') print('Number of trials: {}'.format(num_trials)) print('Number of stopped: {}'.format(stopped)) print('Risk Limit: {:%}'.format(self.alpha)) print('Risk Computed: {:%}'.format(stopped / num_trials)) if hist: histogram(winner_ballot_dist, 'Winner ballots found in sample of size: {}'.format(self.sample_size)) histogram(risk_dist, 'Risk (p_value) dist.') # Update simulation entry to include analysis if self.db_mode: self.db.update_analysis(self.sim_id, (stopped / num_trials)) return stopped / num_trials class MinervaOneRoundStoppingProb(Simulation): """Simulate a 1-round Minerva audit for a given sample size to compute stopping probability.""" sample_size: int total_relevant_ballots: int vote_dist: List[Tuple[str, int]] audit: Minerva def __init__(self, alpha, reported, sample_size, db_mode=True, db_host='localhost', db_name='r2b2', db_port=27017, user='writer', pwd='icanwrite', *args, **kwargs): super().__init__('minerva', alpha, reported, 'reported', True, db_mode, db_host, db_port, db_name, user, pwd, *args, **kwargs) self.sample_size = sample_size self.total_relevant_ballots = sum(self.reported.tally.values()) # FIXME: temporary until pairwise contest fix is implemented self.contest_ballots = self.reported.contest_ballots self.reported.contest_ballots = self.total_relevant_ballots self.reported.winner_prop = self.reported.tally[self.reported.reported_winners[0]] / self.reported.contest_ballots self.audit = Minerva(self.alpha, 1.0, self.reported) if sample_size < self.audit.min_sample_size: raise ValueError('Sample size is less than minimum sample size for audit') # FIXME: sorted candidate list will be created by new branch, update once merged # Generate a sorted underlying vote distribution sorted_tally = sorted(self.reported.tally.items(), key=lambda x: x[1], reverse=True) self.vote_dist = [(sorted_tally[0][0], sorted_tally[0][1])] current = sorted_tally[0][1] for i in range(1, len(sorted_tally)): current += sorted_tally[i][1] self.vote_dist.append((sorted_tally[i][0], current)) self.vote_dist.append(('invalid', self.contest_ballots)) def trial(self, seed): """Execute a 1-round minerva audit.""" r.seed(seed) # Draw a sample sample = [0 for i in range(len(self.vote_dist))] for i in range(self.sample_size): ballot = r.randint(1, self.contest_ballots) for j in range(len(sample)): if ballot <= self.vote_dist[j][1]: sample[j] += 1 break relevant_sample_size = self.sample_size - sample[-1] # Perform audit computations self.audit._reset() self.audit.rounds.append(relevant_sample_size) self.audit.current_dist_null() self.audit.current_dist_reported() p_value = self.audit.compute_risk(sample[0], relevant_sample_size) if p_value <= self.alpha: stop = True else: stop = False return { 'stop': stop, 'p_value': p_value, 'sample_size': self.sample_size, 'relevant_sample_size': relevant_sample_size, 'winner_ballots': sample[0] } def analyze(self, verbose: bool = False, hist: bool = False): """Analyse trials to get experimental stopping probability""" if self.db_mode: trials = self.db.trial_lookup(self.sim_id) else: trials = self.trials num_trials = 0 stopped = 0 winner_ballot_dist = [] risk_dist = [] for trial in trials: num_trials += 1 if trial['stop']: stopped += 1 winner_ballot_dist.append(trial['winner_ballots']) risk_dist.append(trial['p_value']) # TODO: insert verbose and histograms # Update simulation entry to include analysis if self.db_mode: self.db.update_analysis(self.sim_id, (stopped / num_trials)) return stopped / num_trials class MinervaOneRoundAlteredMargin(Simulation): """Simulate a 1-round Minerva audit for a given sample size with a correct outcome but incorrect reported margin""" underlying_margin: float sample_size: int total_relevant_ballots: int vote_dist: List[Tuple[str, int]] audit: Minerva def __init__(self, alpha, reported, underlying, underlying_margin, sample_size, db_mode=True, db_host='localhost', db_name='r2b2', db_port=27017, user='writer', pwd='icanwrite', *args, **kwargs): super().__init__('minerva', alpha, reported, { 'change': underlying, 'margin': underlying_margin }, True, db_mode, db_host, db_port, db_name, user, pwd, *args, **kwargs) self.underlying_margin = underlying_margin self.sample_size = sample_size self.total_relevant_ballots = sum(self.reported.tally.values()) # FIXME: temporary until pairwise contest fix is implemented self.contest_ballots = self.reported.contest_ballots self.reported.contest_ballots = self.total_relevant_ballots self.reported.winner_prop = self.reported.tally[self.reported.reported_winners[0]] / self.reported.contest_ballots self.audit = Minerva(self.alpha, 1.0, self.reported) if sample_size < self.audit.min_sample_size: raise ValueError('Sample size is less than minimum sample size for audit') # FIXME: sorted candidate list will be created by new branch, update once merged # Generate a sorted underlying vote distribution sorted_tally = sorted(self.reported.tally.items(), key=lambda x: x[1], reverse=True) underlying_winner_prop = (1.0 + underlying_margin) / 2.0 self.vote_dist = [(sorted_tally[0][0], self.total_relevant_ballots * underlying_winner_prop)] # current = sorted_tally[0][1] # for i in range(1, len(sorted_tally)): # current += sorted_tally[i][1] # self.vote_dist.append((sorted_tally[i][0], current)) for i in range(1, len(sorted_tally)): self.vote_dist.append((sorted_tally[i][0], self.total_relevant_ballots)) self.vote_dist.append(('invalid', self.contest_ballots)) def trial(self, seed): """Execute a 1-round minerva audit.""" r.seed(seed) # Draw a sample sample = [0 for i in range(len(self.vote_dist))] for i in range(self.sample_size): ballot = r.randint(1, self.contest_ballots) for j in range(len(sample)): if ballot <= self.vote_dist[j][1]: sample[j] += 1 break relevant_sample_size = self.sample_size - sample[-1] # Perform audit computations self.audit._reset() self.audit.rounds.append(relevant_sample_size) self.audit.current_dist_null() self.audit.current_dist_reported() p_value = self.audit.compute_risk(sample[0], relevant_sample_size) if p_value <= self.alpha: stop = True else: stop = False return { 'stop': stop, 'p_value': p_value, 'sample_size': self.sample_size, 'relevant_sample_size': relevant_sample_size, 'winner_ballots': sample[0] } def analyze(self, verbose: bool = False, hist: bool = False): """Analyse trials to get experimental stopping probability""" if self.db_mode: trials = self.db.trial_lookup(self.sim_id) else: trials = self.trials num_trials = 0 stopped = 0 winner_ballot_dist = [] total_risk = 0.0 for trial in trials: num_trials += 1 total_risk += trial['p_value'] if trial['stop']: stopped += 1 winner_ballot_dist.append(trial['winner_ballots']) # TODO: insert verbose and histograms # Update simulation entry to include analysis if self.db_mode: analysis = {'avg_p_value': (total_risk / num_trials), 'sprob': (stopped / num_trials)} self.db.update_analysis(self.sim_id, analysis) return analysis class MinervaMultiRoundStoppingProb(Simulation): """Simulate a multi-round Minerva audit. If sample_sprob is provided, sample sizes to achieve a sample_sprob probability of stopping will be computed and used. Otherwise, the initial sample size, sample_size, is given as input and further sample sizes are an additional (sample_mult) * (sample_size) ballots. The audit executes until it stops or reaches the maximum number of rounds. """ sample_sprob: float sample_size: int sample_mult: float max_rounds: int total_relevant_ballots: int vote_dist: List[Tuple[str, int]] audit: Minerva def __init__(self, alpha, reported, max_rounds, sample_size=None, sample_mult=None, sample_sprob=None, db_mode=True, db_host='localhost', db_name='r2b2', db_port=27017, user='writer', pwd='icanwrite', *args, **kwargs): # Add parameters to simulation DB entry if 'sim_args' in kwargs: kwargs['sim_args']['max_rounds'] = max_rounds kwargs['sim_args']['sample_mult'] = sample_mult kwargs['sim_args']['sample_sprob'] = sample_sprob else: kwargs['sim_args'] = {'max_rounds': max_rounds, 'sample_mult': sample_mult, 'sample_sprob': sample_sprob} super().__init__('minerva', alpha, reported, 'reported', True, db_mode, db_host, db_port, db_name, user, pwd, *args, **kwargs) self.sample_sprob = sample_sprob self.sample_size = sample_size self.sample_mult = sample_mult self.max_rounds = max_rounds self.total_relevant_ballots = sum(self.reported.tally.values()) # FIXME: temporary until pairwise contest fix is implemented self.contest_ballots = self.reported.contest_ballots # self.reported.contest_ballots = self.total_relevant_ballots # self.reported.winner_prop = self.reported.tally[self.reported.reported_winners[0]] / self.reported.contest_ballots self.audit = Minerva(self.alpha, 1.0, self.reported) if sample_sprob is None and sample_size is None and sample_mult is None: raise ValueError('Sample sizes cannot be chosen without sample_sprob or sample_size and sample_mult.') if sample_sprob is not None: if not sample_sprob > 0 or not sample_sprob < 1: raise ValueError('Sample size stopping probability is not between 0 and 1.') else: min_sample_size = 0 for pairwise_audit in self.audit.sub_audits.values(): min_sample_size = max(pairwise_audit.min_sample_size, min_sample_size) if sample_size < min_sample_size: raise ValueError('Sample size is less than minimum sample size for audit.') if max_rounds < 2: raise ValueError('Maximum rounds is too small.') # FIXME: sorted candidate list will be created by new branch, update once merged # Generate a sorted underlying vote distribution sorted_tally = sorted(self.reported.tally.items(), key=lambda x: x[1], reverse=True) self.vote_dist = [(sorted_tally[0][0], sorted_tally[0][1])] current = sorted_tally[0][1] for i in range(1, len(sorted_tally)): current += sorted_tally[i][1] self.vote_dist.append((sorted_tally[i][0], current)) self.vote_dist.append(('invalid', self.contest_ballots)) def trial(self, seed): """Execute a multiround minerva audit (using r2b2.minerva.Minerva)""" r.seed(seed) # Ensure audit is reset self.audit._reset() # Initialize first round including initial sample size round_num = 1 previous_sample_size = 0 if self.sample_sprob is not None: current_sample_size = self.audit.next_sample_size(self.sample_sprob) else: current_sample_size = self.sample_size next_sample = math.ceil(self.sample_mult * self.sample_size) stop = False # For each round sample = [0 for i in range(len(self.vote_dist))] while round_num <= self.max_rounds: # Draw a sample of a given size if current_sample_size <= previous_sample_size: # TODO figure out when this happens and prevent it current_sample_size = previous_sample_size + 1 for i in range(current_sample_size - previous_sample_size): ballot = r.randint(1, self.contest_ballots) for j in range(len(sample)): if ballot <= self.vote_dist[j][1]: sample[j] += 1 break # Convert this sample to a dict sample_dict = {} for i in range(len(self.vote_dist)): # For now, we will ignore the irrelevant votes for this simulation if not self.vote_dist[i][0] == 'invalid': sample_dict[self.vote_dist[i][0]] = sample[i] # Execute a round of the audit for this sample stop = self.audit.execute_round(current_sample_size, sample_dict) # If audit is done, return trial output # FIXME: Improve output format if stop: return { 'stop': stop, 'round': round_num, 'p_value_sched': self.audit.pvalue_schedule, 'p_value': self.audit.get_risk_level(), 'relevant_sample_size_sched': self.audit.rounds, 'winner_ballots_drawn_sched': self.audit.sample_ballots # 'kmin_sched': self.audit.min_winner_ballots } # Else choose a next round size and continue round_num += 1 previous_sample_size = current_sample_size if self.sample_sprob is not None: current_sample_size = self.audit.next_sample_size(self.sample_sprob) else: current_sample_size += next_sample next_sample = math.ceil(self.sample_mult * self.sample_size) # If audit does not stop, return trial output # FIXME: Improve output format return { 'stop': stop, 'round': self.max_rounds, 'p_value_sched': self.audit.pvalue_schedule, 'p_value': self.audit.get_risk_level(), 'relevant_sample_size_sched': self.audit.rounds, 'winner_ballots_drawn_sched': self.audit.sample_ballots # 'kmin_sched': self.audit.min_winner_ballots } def analyze(self, verbose: bool = False, hist: bool = False): """Analyze trials to get experimental stopping probability. Args: verbose (bool): If true, analyze will print simulation analysis information. hist (bool): If true, analyze will generate and display 2 histograms: winner ballots found in the sample size and computed stopping probability. """ if self.db_mode: trials = self.db.trial_lookup(self.sim_id) else: trials = self.trials num_trials = 0 stopped = 0 rounds_stopped = [] # TODO: Create additinal structures to store trial data for trial in trials: num_trials += 1 if trial['stop']: stopped += 1 rounds_stopped.append(trial['round']) # TODO: Extract more data from trial if verbose: print('Analysis\n========\n') print('Number of trials: {}'.format(num_trials)) print('Experiemtnal Stopping Prob: {:.5f}'.format(stopped / num_trials)) if stopped > 0: print('Average Rounds in Stopped Trials: {:.2f}'.format(sum(rounds_stopped) / stopped)) if hist: histogram(rounds_stopped, 'Rounds reached in stopped trials.') # Find stopping probability for each round sprob_by_round = [0]*self.max_rounds stopped_by_round = [0]*self.max_rounds remaining_by_round = [0]*(self.max_rounds+1) # first round has all remaining remaining_by_round[0] = num_trials for rd in range(1, self.max_rounds+1): stopped_this_round = rounds_stopped.count(r) stopped_by_round[rd-1] = stopped_this_round if remaining_by_round[rd-1] != 0: sprob_by_round[rd-1] = stopped_this_round/remaining_by_round[rd-1] else: sprob_by_round[rd-1] = -1 remaining_by_round[rd] = remaining_by_round[rd-1]-stopped_this_round analysis = { 'sprob': stopped / num_trials, 'sprob_by_round': sprob_by_round, 'remaining_by_round': remaining_by_round, 'stopped_by_round': stopped_by_round } # Update simulation entry to include analysis if self.db_mode: self.db.update_analysis(self.sim_id, analysis) return analysis class MinervaMultiRoundRisk(Simulation): """Simulate a multi-round Minerva audit. If sample_sprob is provided, sample sizes to achieve a sample_sprob probability of stopping will be computed and used. Otherwise, the initial sample size, x, is given as input and further sample sizes are an additional (sample_mult) * x ballots. The audit executes until it stops or reaches the maximum number of rounds. """ sample_sprob: float sample_size: int sample_mult: float max_rounds: int total_relevant_ballots: int vote_dist: List[Tuple[str, int]] audit: Minerva def __init__(self, alpha, reported, max_rounds, sample_size=None, sample_mult=None, sample_sprob=None, db_mode=True, db_host='localhost', db_name='r2b2', db_port=27017, user='writer', pwd='icanwrite', *args, **kwargs): # Add parameters to simulation DB entry if 'sim_args' in kwargs: kwargs['sim_args']['max_rounds'] = max_rounds kwargs['sim_args']['sample_mult'] = sample_mult kwargs['sim_args']['sample_sprob'] = sample_sprob else: kwargs['sim_args'] = {'max_rounds': max_rounds, 'sample_mult': sample_mult, 'sample_sprob': sample_sprob} super().__init__('minerva', alpha, reported, 'tie', True, db_mode, db_host, db_port, db_name, user, pwd, *args, **kwargs) self.sample_size = sample_size self.sample_mult = sample_mult self.sample_sprob = sample_sprob self.max_rounds = max_rounds self.total_relevant_ballots = sum(self.reported.tally.values()) # FIXME: temporary until pairwise contest fix is implemented self.contest_ballots = self.reported.contest_ballots # self.reported.contest_ballots = self.total_relevant_ballots # self.reported.winner_prop = self.reported.tally[self.reported.reported_winners[0]] / self.reported.contest_ballots self.audit = Minerva(self.alpha, 1.0, self.reported) if sample_sprob is None and sample_size is None and sample_mult is None: raise ValueError('Sample sizes cannot be chosen without sample_sprob or sample_size and sample_mult.') if sample_sprob is not None: if not sample_sprob > 0 or not sample_sprob < 1: raise ValueError('Sample size stopping probability is not between 0 and 1.') else: min_sample_size = 0 for pairwise_audit in self.audit.sub_audits.values(): min_sample_size = max(pairwise_audit.min_sample_size, min_sample_size) if sample_size < min_sample_size: raise ValueError('Sample size is less than minimum sample size for audit.') if max_rounds < 2: raise ValueError('Maximum rounds is too small.') # FIXME: sorted candidate list will be created by new branch, update once merged # Generate a sorted underlying vote distribution for a tied election sorted_tally = sorted(self.reported.tally.items(), key=lambda x: x[1], reverse=True) self.vote_dist = [(sorted_tally[0][0], self.total_relevant_ballots // 2)] for i in range(1, len(sorted_tally)): self.vote_dist.append((sorted_tally[i][0], self.total_relevant_ballots)) self.vote_dist.append(('invalid', self.contest_ballots)) def trial(self, seed): """Execute a multiround minerva audit (using r2b2.minerva.Minerva)""" r.seed(seed) # Ensure audit is reset self.audit._reset() # Initialize first round including initial sample size round_num = 1 previous_sample_size = 0 if self.sample_sprob is None: current_sample_size = self.sample_size next_sample = math.ceil(self.sample_mult * self.sample_size) stop = False # For each round sample = [0 for i in range(len(self.vote_dist))] while round_num <= self.max_rounds: if self.sample_sprob is not None: current_sample_size = self.audit.next_sample_size(self.sample_sprob) # Draw a sample of a given size for i in range(current_sample_size - previous_sample_size): ballot = r.randint(1, self.contest_ballots) for j in range(len(sample)): if ballot <= self.vote_dist[j][1]: sample[j] += 1 break # Convert this sample to a dict sample_dict = {} for i in range(len(self.vote_dist)): # For now, we will ignore the irrelevant ballots if not self.vote_dist[i][0] == 'invalid': sample_dict[self.vote_dist[i][0]] = sample[i] # Execute a round of the audit for this sample stop = self.audit.execute_round(current_sample_size, sample_dict) # If audit is done, return trial output # FIXME: Improve output format if stop: return { 'stop': stop, 'round': round_num, 'p_value_sched': self.audit.pvalue_schedule, 'p_value': self.audit.get_risk_level(), 'relevant_sample_size_sched': self.audit.rounds, 'winner_ballots_drawn_sched': self.audit.sample_ballots, # 'kmin_sched': self.audit.min_winner_ballots } # Else choose a next round size and continue round_num += 1 previous_sample_size = current_sample_size if self.sample_sprob is None: current_sample_size += next_sample next_sample = math.ceil(self.sample_mult * self.sample_size) # If audit does not stop, return trial output # FIXME: Improve output format return { 'stop': stop, 'round': self.max_rounds, 'p_value_sched': self.audit.pvalue_schedule, 'p_value': self.audit.get_risk_level(), 'relevant_sample_size_sched': self.audit.rounds, 'winner_ballots_drawn_sched': self.audit.sample_ballots, # 'kmin_sched': self.audit.min_winner_ballots } def analyze(self, verbose: bool = False, hist: bool = False): """Analyze trials to get experimental risk. Args: verbose (bool): If true, analyze will print simulation analysis information. hist (bool): If true, analyze will generate and display 2 histograms: winner ballots found in the sample size and computed risk. """ if self.db_mode: trials = self.db.trial_lookup(self.sim_id) else: trials = self.trials num_trials = 0 stopped = 0 rounds_stopped = [] # TODO: Create additinal structures to store trial data for trial in trials: num_trials += 1 if trial['stop']: stopped += 1 rounds_stopped.append(trial['round']) # TODO: Extract more data from trial if verbose: print('Analysis\n========\n') print('Number of trials: {}'.format(num_trials)) print('Experiemtnal Risk: {:.5f}'.format(stopped / num_trials)) if stopped > 0: print('Average Rounds in Stopped Trials: {:.2f}'.format(sum(rounds_stopped) / stopped)) if hist: histogram(rounds_stopped, 'Rounds reached in stopped trials.') # Find risk for each round risk_by_round = [0]*self.max_rounds stopped_by_round = [0]*self.max_rounds remaining_by_round = [0]*(self.max_rounds+1) # first round has all remaining remaining_by_round[0] = num_trials for rd in range(1, self.max_rounds + 1): stopped_this_round = rounds_stopped.count(rd) stopped_by_round[rd-1] = stopped_this_round if remaining_by_round[rd-1] != 0: risk_by_round[rd-1] = stopped_this_round/remaining_by_round[rd-1] else: risk_by_round[rd-1] = -1 remaining_by_round[rd] = remaining_by_round[rd-1]-stopped_this_round analysis = { 'risk': stopped / num_trials, 'risk_by_round': risk_by_round, 'remaining_by_round': remaining_by_round, 'stopped_by_round': stopped_by_round } # Update simulation entry to include analysis if self.db_mode: self.db.update_analysis(self.sim_id, analysis) return analysis class MinervaRandomMultiRoundRisk(Simulation): """Simulate a multi-round Minerva audit for random subsequent sample sizes. The initial sample size, x, is given as input and further sample sizes are chosen randomly as an additioanl 0.5x to 1.5x ballots in the next round. The audit executes until it stops or reaches the maximum number of rounds. """ sample_size: int max_rounds: int total_relevant_ballots: int vote_dist: List[Tuple[str, int]] audit: Minerva def __init__(self, alpha, reported, sample_size, max_rounds, db_mode=True, db_host='localhost', db_name='r2b2', db_port=27017, user='writer', pwd='icanwrite', *args, **kwargs): if 'sim_args' in kwargs: kwargs['sim_args']['max_rounds'] = max_rounds else: kwargs['sim_args'] = {'max_rounds': max_rounds} super().__init__('minerva', alpha, reported, 'tie', True, db_mode, db_host, db_port, db_name, user, pwd, *args, **kwargs) self.sample_size = sample_size self.max_rounds = max_rounds self.total_relevant_ballots = sum(self.reported.tally.values()) # FIXME: temporary until pairwise contest fix is implemented self.contest_ballots = self.reported.contest_ballots self.reported.contest_ballots = self.total_relevant_ballots self.reported.winner_prop = self.reported.tally[self.reported.reported_winners[0]] / self.reported.contest_ballots self.audit = Minerva(self.alpha, 1.0, self.reported) if sample_size < self.audit.min_sample_size: raise ValueError('Sample size is less than minimum sample size for audit.') if max_rounds < 2: raise ValueError('Maximum rounds is too small.') # FIXME: sorted candidate list will be created by new branch, update once merged # Generate a sorted underlying vote distribution for a tied election sorted_tally = sorted(self.reported.tally.items(), key=lambda x: x[1], reverse=True) self.vote_dist = [(sorted_tally[0][0], self.total_relevant_ballots // 2)] for i in range(1, len(sorted_tally)): self.vote_dist.append((sorted_tally[i][0], self.total_relevant_ballots)) self.vote_dist.append(('invalid', self.contest_ballots)) def trial(self, seed): """Execute a 1-round minerva audit (using r2b2.minerva.Minerva)""" r.seed(seed) # Ensure audit is reset self.audit._reset() # Initialize first round with given initial sample size round_num = 1 previous_sample_size = 0 current_sample_size = self.sample_size stop = False # For each round sample = [0 for i in range(len(self.vote_dist))] while round_num <= self.max_rounds: # Draw a sample of a given size for i in range(current_sample_size - previous_sample_size): ballot = r.randint(1, self.contest_ballots) for j in range(len(sample)): if ballot <= self.vote_dist[j][1]: sample[j] += 1 break relevant_sample_size = current_sample_size - sample[-1] # Perform audit computations self.audit.rounds.append(relevant_sample_size) self.audit.current_dist_null() self.audit.current_dist_reported() # Check is audit has completed if (self.audit.stopping_condition(sample[0])): stop = True # Continue audit computations kmin = self.audit.next_min_winner_ballots(relevant_sample_size) self.audit.min_winner_ballots.append(kmin) self.audit.truncate_dist_null() self.audit.truncate_dist_reported() self.audit.sample_winner_ballots.append(sample[0]) # If audit is done, return trial output # FIXME: Improve output format if stop: return { 'stop': stop, 'round': round_num, 'p_value_sched': self.audit.pvalue_schedule, 'p_value': self.audit.get_risk_level(), 'relevant_sample_size_sched': self.audit.rounds, 'winner_ballots_drawn_sched': self.audit.sample_winner_ballots, # 'kmin_sched': self.audit.min_winner_ballots } # Else choose a next round size and continue round_num += 1 sample_mult = r.uniform(0.5, 1.5) next_sample = math.ceil(self.sample_size * sample_mult) previous_sample_size = current_sample_size current_sample_size += next_sample # If audit does not stop, return trial output # FIXME: Improve output format return { 'stop': stop, 'round': self.max_rounds, 'p_value_sched': self.audit.pvalue_schedule, 'p_value': self.audit.get_risk_level(), 'relevant_sample_size_sched': self.audit.rounds, 'winner_ballots_drawn_sched': self.audit.sample_winner_ballots, # 'kmin_sched': self.audit.min_winner_ballots } def analyze(self, verbose: bool = False, hist: bool = False): """Analyze trials to get experimental risk. Args: verbose (bool): If true, analyze will print simulation analysis information. hist (bool): If true, analyze will generate and display 2 histograms: winner ballots found in the sample size and computed risk. """ if self.db_mode: trials = self.db.trial_lookup(self.sim_id) else: trials = self.trials num_trials = 0 stopped = 0 rounds_stopped = [] # TODO: Create additinal structures to store trial data for trial in trials: num_trials += 1 if trial['stop']: stopped += 1 rounds_stopped.append(trial['round']) # TODO: Extract more data from trial if verbose: print('Analysis\n========\n') print('Number of trials: {}'.format(num_trials)) print('Experiemtnal Risk: {:.5f}'.format(stopped / num_trials)) if stopped > 0: print('Average Rounds in Stopped Trials: {:.2f}'.format(sum(rounds_stopped) / stopped)) if hist: histogram(rounds_stopped, 'Rounds reached in stopped trials.') # Update simulation entry to include analysis if self.db_mode: self.db.update_analysis(self.sim_id, (stopped / num_trials)) return stopped / num_trials class MinervaRandomMultiRoundStoppingProb(Simulation): """Simulate a multi-round Minerva audit for random subsequent sample sizes. The initial sample size, x, is given as input and further sample sizes are chosen randomly as an additioanl 0.5x to 1.5x ballots in the next round. The audit executes until it stops or reaches the maximum number of rounds. """ sample_size: int max_rounds: int total_relevant_ballots: int vote_dist: List[Tuple[str, int]] audit: Minerva def __init__(self, alpha, reported, sample_size, max_rounds, db_mode=True, db_host='localhost', db_name='r2b2', db_port=27017, user='writer', pwd='icanwrite', *args, **kwargs): if 'sim_args' in kwargs: kwargs['sim_args']['max_rounds'] = max_rounds else: kwargs['sim_args'] = {'max_rounds': max_rounds} super().__init__('minerva', alpha, reported, 'reported', True, db_mode, db_host, db_port, db_name, user, pwd, *args, **kwargs) self.sample_size = sample_size self.max_rounds = max_rounds self.total_relevant_ballots = sum(self.reported.tally.values()) # FIXME: temporary until pairwise contest fix is implemented self.contest_ballots = self.reported.contest_ballots self.reported.contest_ballots = self.total_relevant_ballots self.reported.winner_prop = self.reported.tally[self.reported.reported_winners[0]] / self.reported.contest_ballots self.audit = Minerva(self.alpha, 1.0, self.reported) if sample_size < self.audit.min_sample_size: raise ValueError('Sample size is less than minimum sample size for audit.') if max_rounds < 2: raise ValueError('Maximum rounds is too small.') # FIXME: sorted candidate list will be created by new branch, update once merged # Generate a sorted underlying vote distribution for a tied election sorted_tally = sorted(self.reported.tally.items(), key=lambda x: x[1], reverse=True) self.vote_dist = [(sorted_tally[0][0], sorted_tally[0][1])] current = sorted_tally[0][1] for i in range(1, len(sorted_tally)): current += sorted_tally[i][1] self.vote_dist.append((sorted_tally[i][0], current)) self.vote_dist.append(('invalid', self.contest_ballots)) def trial(self, seed): """Execute a 1-round minerva audit (using r2b2.minerva.Minerva)""" r.seed(seed) # Ensure audit is reset self.audit._reset() # Initialize first round with given initial sample size round_num = 1 previous_sample_size = 0 current_sample_size = self.sample_size stop = False # For each round sample = [0 for i in range(len(self.vote_dist))] while round_num <= self.max_rounds: # Draw a sample of a given size for i in range(current_sample_size - previous_sample_size): ballot = r.randint(1, self.contest_ballots) for j in range(len(sample)): if ballot <= self.vote_dist[j][1]: sample[j] += 1 break relevant_sample_size = current_sample_size - sample[-1] # Perform audit computations self.audit.rounds.append(relevant_sample_size) self.audit.current_dist_null() self.audit.current_dist_reported() # Check is audit has completed if (self.audit.stopping_condition(sample[0])): stop = True # Continue audit computations kmin = self.audit.next_min_winner_ballots(relevant_sample_size) self.audit.min_winner_ballots.append(kmin) self.audit.truncate_dist_null() self.audit.truncate_dist_reported() self.audit.sample_winner_ballots.append(sample[0]) # If audit is done, return trial output # FIXME: Improve output format if stop: return { 'stop': stop, 'round': round_num, 'p_value_sched': self.audit.pvalue_schedule, 'p_value': self.audit.get_risk_level(), 'relevant_sample_size_sched': self.audit.rounds, 'winner_ballots_drawn_sched': self.audit.sample_winner_ballots, 'kmin_sched': self.audit.min_winner_ballots } # Else choose a next round size and continue round_num += 1 sample_mult = r.uniform(0.5, 1.5) next_sample = math.ceil(self.sample_size * sample_mult) previous_sample_size = current_sample_size current_sample_size += next_sample # If audit does not stop, return trial output # FIXME: Improve output format return { 'stop': stop, 'round': self.max_rounds, 'p_value_sched': self.audit.pvalue_schedule, 'p_value': self.audit.get_risk_level(), 'relevant_sample_size_sched': self.audit.rounds, 'winner_ballots_drawn_sched': self.audit.sample_winner_ballots, 'kmin_sched': self.audit.min_winner_ballots } def analyze(self, verbose: bool = False, hist: bool = False): """Analyze trials to get experimental risk. Args: verbose (bool): If true, analyze will print simulation analysis information. hist (bool): If true, analyze will generate and display 2 histograms: winner ballots found in the sample size and computed risk. """ if self.db_mode: trials = self.db.trial_lookup(self.sim_id) else: trials = self.trials num_trials = 0 stopped = 0 rounds_stopped = [] # TODO: Create additinal structures to store trial data for trial in trials: num_trials += 1 if trial['stop']: stopped += 1 rounds_stopped.append(trial['round']) # TODO: Extract more data from trial if verbose: print('Analysis\n========\n') print('Number of trials: {}'.format(num_trials)) print('Stopping Probability: {:%}'.format(stopped / num_trials)) if stopped > 0: print('Average Rounds in Stopped Trials: {:.2f}'.format(sum(rounds_stopped) / stopped)) if hist: histogram(rounds_stopped, 'Rounds reached in stopped trials.') # Update simulation entry to include analysis if self.db_mode: self.db.update_analysis(self.sim_id, (stopped / num_trials)) return stopped / num_trials class MinervaMultiRoundAlteredMargin(Simulation): """Simulate a Minerva audit for a given sample size with a correct outcome but incorrect reported margin""" underlying_margin: float sample_size: int max_rounds: int total_relevant_ballots: int vote_dist: List[Tuple[str, int]] audit: Minerva def __init__(self, alpha, reported, underlying, underlying_margin, sample_size, max_rounds, db_mode=True, db_host='localhost', db_name='r2b2', db_port=27017, user='writer', pwd='icanwrite', *args, **kwargs): if 'sim_args' in kwargs: kwargs['sim__args']['max_rounds'] = max_rounds else: kwargs['sim_args'] = {'max_rounds': max_rounds} super().__init__('minerva', alpha, reported, { 'change': underlying, 'margin': underlying_margin }, True, db_mode, db_host, db_port, db_name, user, pwd, *args, **kwargs) self.underlying_margin = underlying_margin self.sample_size = sample_size self.max_rounds = max_rounds self.total_relevant_ballots = sum(self.reported.tally.values()) # FIXME: temporary until pairwise contest fix is implemented self.contest_ballots = self.reported.contest_ballots self.reported.contest_ballots = self.total_relevant_ballots self.reported.winner_prop = self.reported.tally[self.reported.reported_winners[0]] / self.reported.contest_ballots self.audit = Minerva(self.alpha, 1.0, self.reported) if sample_size < self.audit.min_sample_size: raise ValueError('Sample size is less than minimum sample size for audit') # FIXME: sorted candidate list will be created by new branch, update once merged # Generate a sorted underlying vote distribution sorted_tally = sorted(self.reported.tally.items(), key=lambda x: x[1], reverse=True) underlying_winner_prop = (1.0 + underlying_margin) / 2.0 self.vote_dist = [(sorted_tally[0][0], self.total_relevant_ballots * underlying_winner_prop)] for i in range(1, len(sorted_tally)): self.vote_dist.append((sorted_tally[i][0], self.total_relevant_ballots)) self.vote_dist.append(('invalid', self.contest_ballots)) def trial(self, seed): """Execute a multiround minerva audit.""" r.seed(seed) # Ensure audit is reset self.audit._reset() # Initialize first round with given initial sample size round_num = 1 previous_sample_size = 0 current_sample_size = self.sample_size stop = False # Draw a sample sample = [0 for i in range(len(self.vote_dist))] while round_num <= self.max_rounds: # Draw a sample for current size for i in range(current_sample_size - previous_sample_size): ballot = r.randint(1, self.contest_ballots) for j in range(len(sample)): if ballot <= self.vote_dist[j][1]: sample[j] += 1 break relevant_sample_size = current_sample_size - sample[-1] # Perform audit computations self.audit.rounds.append(relevant_sample_size) self.audit.current_dist_null() self.audit.current_dist_reported() # Check if audit is completed if (self.audit.stopping_condition(sample[0])): stop = True # Continue audit computations kmin = self.audit.next_min_winner_ballots(relevant_sample_size) self.audit.min_winner_ballots.append(kmin) self.audit.truncate_dist_null() self.audit.truncate_dist_reported() self.audit.sample_winner_ballots.append(sample[0]) # If audit is done, return trial output if stop: return { 'stop': stop, 'round': round_num, 'p_value_sched': self.audit.pvalue_schedule, 'p_value': self.audit.get_risk_level(), 'relevant_sample_size_sched': self.audit.rounds, 'winner_ballots_drawn_sched': self.audit.sample_winner_ballots, 'kmin_sched': self.audit.min_winner_ballots } # Else choose a next round size and continue round_num += 1 sample_mult = r.uniform(0.5, 1.5) next_sample = math.ceil(self.sample_size * sample_mult) previous_sample_size = current_sample_size current_sample_size += next_sample # If audit does not stop, return trial output return { 'stop': stop, 'round': self.max_rounds, 'p_value_sched': self.audit.pvalue_schedule, 'p_value': self.audit.get_risk_level(), 'relevant_sample_size_sched': self.audit.rounds, 'winner_ballots_drawn_sched': self.audit.sample_winner_ballots, 'kmin_sched': self.audit.min_winner_ballots } def analyze(self, verbose: bool = False, hist: bool = False): """Analyse trials to get experimental stopping probability""" if self.db_mode: trials = self.db.trial_lookup(self.sim_id) else: trials = self.trials num_trials = 0 stopped = 0 winner_ballot_dist = [] total_risk = 0.0 for trial in trials: num_trials += 1 total_risk += trial['p_value'] if trial['stop']: stopped += 1 winner_ballot_dist.append(trial['winner_ballots']) # TODO: insert verbose and histograms # Update simulation entry to include analysis if self.db_mode: analysis = {'avg_p_value': (total_risk / num_trials), 'sprob': (stopped / num_trials)} self.db.update_analysis(self.sim_id, analysis) return analysis

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Python

explicalib/experiments/setups/comparison_with_gt/plots.py

euranova/estimating_eces

9bfa81dd7a39ebe069c5b11b8e7a9bf9017e9350

[ "MIT" ]

2

2021-11-30T18:44:11.000Z

2021-11-30T18:44:19.000Z

explicalib/experiments/setups/comparison_with_gt/plots.py

euranova/estimating_eces

9bfa81dd7a39ebe069c5b11b8e7a9bf9017e9350

[ "MIT" ]

null

explicalib/experiments/setups/comparison_with_gt/plots.py

euranova/estimating_eces

9bfa81dd7a39ebe069c5b11b8e7a9bf9017e9350

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ @author: nicolas.posocco """ import copy import numpy as np from .utils import group_by, load_all import matplotlib import matplotlib.pyplot as plt def add_normalized_trajectories(reports): res = [] for report in reports: report2 = copy.deepcopy(report) gt = report["gt"] report2["medians_norm"] = report["medians"] / gt report2["highs_norm"] = report["highs"] / gt res.append(report2) return res def aggregate_by_metric_complete(reports): def aggregate(group): result = {} d = np.stack([report["medians"] for report in group]) distance_medians_gt_norm = np.median(d, axis=0) result["medians"] = distance_medians_gt_norm d = np.stack([report["highs"] for report in group]) distance_highs_gt_norm = np.median(d, axis=0) result["highs"] = distance_highs_gt_norm result["n_samples_calibration_evaluations"] = group[0]["n_samples_calibration_evaluations"] # All groupped reports share the same metric settings result["metric.__name__"] = group[0]["metric.__name__"] result["metric_kwargs"] = group[0]["metric_kwargs"] result["metric_complete"] = group[0]["metric_complete"] return result reports_groupped = group_by(reports, key="metric_complete") reports_aggregated = [aggregate(group) for group in reports_groupped] return reports_aggregated def plot_all_upper(seed_train_test_split=None, seed_distribution=None, setup_name=None, n_features=None, ylim=None, filter_in=None, title=None, cut_at=5000, font=None, reports=None): metric_name_to_colors = { "classwise_ece": "k", "direct_classwise_ece": "g", "classwise_ece_a": "r", "classwise_ece_ma": "orange", "classwise_ece_c": "b", "classwise_ece_ac": "m", "confidence_ece": "k", "direct_confidence_ece": "g", "confidence_ece_a": "r", "confidence_ece_ma": "orange", "confidence_ece_c": "b", "confidence_ece_ac": "m", "binary_ece": "k", "direct_binary_ece": "g", "binary_ece_a": "r", "binary_ece_ma": "orange", "binary_ece_c": "b", "binary_ece_ac": "m", } metric_complete_to_linestyle = { "sqrt": "--", # "direct": ":", # if silverman, gets replaced by "silverman": "-.", } metric_complete_to_alpha = { "{'n_bins': 10}": 1.0, "{'n_bins': 20}": 0.7, "{'n_bins': 30}": 0.4, "{'bandwidth': 0.01}": 0.4, "{'bandwidth': 0.033}": 0.7, "{'bandwidth': 0.05}": 0.8, "{'bandwidth': 0.1}": 1.0, } metric_name_to_clean_metric_name = { "binary_ece": "$ECE^1$", "binary_ece_c": "$ECE^1_c$", "binary_ece_a": "$ECE^1_a$", "binary_ece_ma": "$ECE^1_{ma}$", "binary_ece_ac": "$ECE^1_{ac}$", "direct_binary_ece": "$ECE^1_{kde}$", "confidence_ece": "$ECE^{conf}$", "confidence_ece_c": "$ECE^{conf}_c$", "confidence_ece_a": "$ECE^{conf}_a$", "confidence_ece_ma": "$ECE^{conf}_{ma}$", "confidence_ece_ac": "$ECE^{conf}_{ac}$", "direct_confidence_ece": "$ECE^{conf}_{kde}$", "classwise_ece": "$ECE^{cw}$", "classwise_ece_c": "$ECE^{cw}_c$", "classwise_ece_a": "$ECE^{cw}_a$", "classwise_ece_ma": "$ECE^{cw}_{ma}$", "classwise_ece_ac": "$ECE^{cw}_{ac}$", "direct_classwise_ece": "$ECE^{cw}_{kde}$", } assert reports is not None # Setting font if font is None: font = {'family': 'DejaVu Sans', 'size': 15} matplotlib.rc('font', **font) #if reports is None: # reports_df = load_all(setup_name=setup_name, protocol=4) # reports = reports_df.to_dict(orient='records') #if seed_train_test_split is not None: # reports = filter(lambda report: report["seed_train_test_split"] == seed_train_test_split, reports) #if seed_distribution is not None: # reports = filter(lambda report: report["seed_distribution"] == seed_distribution, reports) #if n_features is not None: # reports = filter(lambda report: report["n_features"] == n_features, reports) #if filter_in is not None: # reports = filter(lambda report: filter_in(report), reports) print("Aggregating {} trajectories.".format(len(reports))) # Adding normalized trajectories print(type(reports)) reports = add_normalized_trajectories(reports) # Adding the distance between the median estimation and the ground truth (with and without normalization) # reports = add_distances_to_gt(reports) # Adding the width of the 95% confidence interval (with and without normalization) # reports = add_confidence95_width(reports) # Aggregating reports with the same metric_complete reports = aggregate_by_metric_complete(reports) # Sorting reports for consistent colors reports = sorted(reports, key=lambda report: report["metric_complete"]) # Creating figure fig = plt.figure(figsize=(14, 18)) gs = fig.add_gridspec(2, 1) ax1 = fig.add_subplot(gs[0, 0]) ax2 = fig.add_subplot(gs[1, 0]) legends = {} for report in reports: metric_complete = report["metric_complete"] metric_complete = metric_complete.replace("classwise_", "").replace("binary_", "").replace("confidence_", "") metric_name = report["metric.__name__"] if metric_name not in legends: legends[metric_name] = [] legends[metric_name].append((metric_complete, report)) max_entries = 0 for metric_name in legends: max_entries = max(max_entries, len(legends[metric_name])) # Populating figure for metric_name in legends: clean_metric_name = metric_name_to_clean_metric_name[metric_name] ax2.plot([0, 1], [-1, -1], marker='o', linestyle="None", label=clean_metric_name, color=metric_name_to_colors[metric_name]) for metric_complete, report in legends[metric_name]: # Setting linestyle linestyle = "solid" for part in metric_complete_to_linestyle: if part in report["metric_complete"]: linestyle = metric_complete_to_linestyle[part] # Setting color color = "fuchsia" for metric_name in metric_name_to_colors: if metric_name == report["metric.__name__"]: color = metric_name_to_colors[metric_name] # Setting alpha alpha = 1 for part in metric_complete_to_alpha: if part in report["metric_complete"]: alpha = metric_complete_to_alpha[part] metric_complete = report["metric_complete"] metric_complete = metric_complete.replace("classwise_", "").replace("binary_", "").replace("confidence_", "") metric_name = report["metric.__name__"] metric_kwargs = report["metric_kwargs"] # if "direct" in report["metric_complete"]: # linestyle = ":" # elif "sqrt" in report["metric_complete"]: # linestyle = "--" # elif "silverman" in report["metric_complete"]: # linestyle = "-." # else: # linestyle="solid" if metric_kwargs == "{'n_bins': 'sqrt'}": metric_kwargs = "sqrt" elif metric_kwargs == "{'bandwidth': 'silverman'}": metric_kwargs = "Silverman" elif "n_bins" in metric_kwargs: n_bins = metric_kwargs.split(" ")[1][:-1] metric_kwargs = str(n_bins) + " bins" elif "bandwidth" in metric_kwargs: bandwidth = metric_kwargs.split(" ")[1][:-1] metric_kwargs = "bandwidth : " + str(bandwidth) p = ax1.loglog(report["n_samples_calibration_evaluations"], report["medians"], label=metric_kwargs, linestyle=linestyle, color=color, alpha=alpha) ax2.loglog(report["n_samples_calibration_evaluations"], report["highs"], label=metric_kwargs, linestyle=linestyle, color=color, alpha=alpha) # If a blank space needs to be created if metric_complete == legends[metric_name][-1][0] and len(legends[metric_name]) < max_entries: n_empties = max_entries - len(legends[metric_name]) for i in range(n_empties): ax2.plot([0, 1], [-1, -1], marker='o', label=".", color="white") ax1.set_xlim(30, cut_at) ax2.set_xlim(30, cut_at) #ax1.set_ylim(0, ylim) #ax2.set_ylim(0, ylim) ax1.set_xticks([]) ax2.set_xticks([e for e in [30, 100, 200, 300, 400, 500, 5000] if e <= cut_at]) # ax1.set_ylabel("Median deviation to ground truth trajectories") # ax2.set_ylabel("97.5th percentile deviation to ground truth trajectories") # ax2.set_xlabel("Number of samples used for the computation") # plt.legend([p], loc="lower center", bbox_to_anchor=(0.5, -0.3), ncol=3) #ax1.legend(loc=(1.025,0)) plt.legend(loc="lower center", bbox_to_anchor=(0.5, -0.325), ncol=len(list(legends.keys()))) # ax1.legend(loc=(1.025,0)) # if title is not None: # fig.title(title) plt.tight_layout() ax1.set_ylabel("Median deviation to ground truth trajectories") ax2.set_ylabel("97.5th percentile deviation to ground truth trajectories") ax2.set_xlabel("Number of samples used for the computation") plt.show() def plot_all(reports_classwise, reports_confidence, font=None): metric_name_to_colors = { "classwise_ece": "k", "direct_classwise_ece": "g", "classwise_ece_a": "r", "classwise_ece_ma": "orange", "classwise_ece_c": "b", "classwise_ece_ac": "m", "confidence_ece": "k", "direct_confidence_ece": "g", "confidence_ece_a": "r", "confidence_ece_ma": "orange", "confidence_ece_c": "b", "confidence_ece_ac": "m", "binary_ece": "k", "direct_binary_ece": "g", "binary_ece_a": "r", "binary_ece_ma": "orange", "binary_ece_c": "b", "binary_ece_ac": "m", } metric_complete_to_linestyle = { "sqrt": "--", # "direct": ":", # if silverman, gets replaced by "silverman": "-.", } metric_complete_to_alpha = { "{'n_bins': 10}": 1.0, "{'n_bins': 20}": 0.7, "{'n_bins': 30}": 0.4, "{'bandwidth': 0.01}": 0.4, "{'bandwidth': 0.033}": 0.7, "{'bandwidth': 0.05}": 0.8, "{'bandwidth': 0.1}": 1.0, } metric_name_to_clean_metric_name = { "binary_ece": "$ECE^1$", "binary_ece_c": "$ECE^1_c$", "binary_ece_a": "$ECE^1_a$", "binary_ece_ma": "$ECE^1_{ma}$", "binary_ece_ac": "$ECE^1_{ac}$", "direct_binary_ece": "$ECE^1_{kde}$", "confidence_ece": "$ECE^{conf}$", "confidence_ece_c": "$ECE^{conf}_c$", "confidence_ece_a": "$ECE^{conf}_a$", "confidence_ece_ma": "$ECE^{conf}_{ma}$", "confidence_ece_ac": "$ECE^{conf}_{ac}$", "direct_confidence_ece": "$ECE^{conf}_{kde}$", "classwise_ece": "$ECE^{cw}$", "classwise_ece_c": "$ECE^{cw}_c$", "classwise_ece_a": "$ECE^{cw}_a$", "classwise_ece_ma": "$ECE^{cw}_{ma}$", "classwise_ece_ac": "$ECE^{cw}_{ac}$", "direct_classwise_ece": "$ECE^{cw}_{kde}$", } assert reports_classwise is not None assert reports_confidence is not None # Setting font if font is None: font = {'family': 'DejaVu Sans', 'size': 15} matplotlib.rc('font', **font) print("CW : Aggregating {} trajectories.".format(len(reports_classwise))) print("CONF : Aggregating {} trajectories.".format(len(reports_confidence))) # Adding normalized trajectories reports_classwise = add_normalized_trajectories(reports_classwise) reports_confidence = add_normalized_trajectories(reports_confidence) # Aggregating reports with the same metric_complete reports_classwise = aggregate_by_metric_complete(reports_classwise) reports_confidence = aggregate_by_metric_complete(reports_confidence) # Sorting reports for consistent colors reports_classwise = sorted(reports_classwise, key=lambda report: report["metric_complete"]) # Creating figure fig = plt.figure(figsize=(14, 18)) gs = fig.add_gridspec(2, 1) ax1 = fig.add_subplot(gs[0, 0]) ax2 = fig.add_subplot(gs[1, 0]) # CLasswise legends = {} for report in reports_classwise: metric_complete = report["metric_complete"] metric_complete = metric_complete.replace("classwise_", "").replace("binary_", "").replace("confidence_", "") metric_name = report["metric.__name__"] if metric_name not in legends: legends[metric_name] = [] legends[metric_name].append((metric_complete, report)) max_entries = 0 for metric_name in legends: max_entries = max(max_entries, len(legends[metric_name])) # Populating figure for metric_name in legends: clean_metric_name = metric_name_to_clean_metric_name[metric_name] ax2.plot([0, 1], [-1, -1], marker='o', linestyle="None", label=clean_metric_name, color=metric_name_to_colors[metric_name]) for metric_complete, report in legends[metric_name]: # Setting linestyle linestyle = "solid" for part in metric_complete_to_linestyle: if part in report["metric_complete"]: linestyle = metric_complete_to_linestyle[part] # Setting color color = "fuchsia" for metric_name in metric_name_to_colors: if metric_name == report["metric.__name__"]: color = metric_name_to_colors[metric_name] # Setting alpha alpha = 1 for part in metric_complete_to_alpha: if part in report["metric_complete"]: alpha = metric_complete_to_alpha[part] metric_complete = report["metric_complete"] metric_complete = metric_complete.replace("classwise_", "").replace("binary_", "").replace("confidence_", "") metric_name = report["metric.__name__"] metric_kwargs = report["metric_kwargs"] # if "direct" in report["metric_complete"]: # linestyle = ":" # elif "sqrt" in report["metric_complete"]: # linestyle = "--" # elif "silverman" in report["metric_complete"]: # linestyle = "-." # else: # linestyle="solid" if metric_kwargs == "{'n_bins': 'sqrt'}": metric_kwargs = "sqrt" elif metric_kwargs == "{'bandwidth': 'silverman'}": metric_kwargs = "Silverman" elif "n_bins" in metric_kwargs: n_bins = metric_kwargs.split(" ")[1][:-1] metric_kwargs = str(n_bins) + " bins" elif "bandwidth" in metric_kwargs: bandwidth = metric_kwargs.split(" ")[1][:-1] metric_kwargs = "bandwidth : " + str(bandwidth) p = ax1.loglog(report["n_samples_calibration_evaluations"], report["highs"], label=metric_kwargs, linestyle=linestyle, color=color, alpha=alpha) #ax2.loglog(report["n_samples_calibration_evaluations"], report["highs"], # label=metric_kwargs, linestyle=linestyle, color=color, alpha=alpha) # If a blank space needs to be created if metric_complete == legends[metric_name][-1][0] and len(legends[metric_name]) < max_entries: n_empties = max_entries - len(legends[metric_name]) for i in range(n_empties): ax2.plot([0, 1], [-1, -1], marker='o', label=".", color="white") # Confidence legends = {} for report in reports_confidence: metric_complete = report["metric_complete"] metric_complete = metric_complete.replace("classwise_", "").replace("binary_", "").replace("confidence_", "") metric_name = report["metric.__name__"] if metric_name not in legends: legends[metric_name] = [] legends[metric_name].append((metric_complete, report)) max_entries = 0 for metric_name in legends: max_entries = max(max_entries, len(legends[metric_name])) # Populating figure for metric_name in legends: clean_metric_name = metric_name_to_clean_metric_name[metric_name] ax2.plot([0, 1], [-1, -1], marker='o', linestyle="None", label=clean_metric_name, color=metric_name_to_colors[metric_name]) for metric_complete, report in legends[metric_name]: # Setting linestyle linestyle = "solid" for part in metric_complete_to_linestyle: if part in report["metric_complete"]: linestyle = metric_complete_to_linestyle[part] # Setting color color = "fuchsia" for metric_name in metric_name_to_colors: if metric_name == report["metric.__name__"]: color = metric_name_to_colors[metric_name] # Setting alpha alpha = 1 for part in metric_complete_to_alpha: if part in report["metric_complete"]: alpha = metric_complete_to_alpha[part] metric_complete = report["metric_complete"] metric_complete = metric_complete.replace("classwise_", "").replace("binary_", "").replace( "confidence_", "") metric_name = report["metric.__name__"] metric_kwargs = report["metric_kwargs"] # if "direct" in report["metric_complete"]: # linestyle = ":" # elif "sqrt" in report["metric_complete"]: # linestyle = "--" # elif "silverman" in report["metric_complete"]: # linestyle = "-." # else: # linestyle="solid" if metric_kwargs == "{'n_bins': 'sqrt'}": metric_kwargs = "sqrt" elif metric_kwargs == "{'bandwidth': 'silverman'}": metric_kwargs = "Silverman" elif "n_bins" in metric_kwargs: n_bins = metric_kwargs.split(" ")[1][:-1] metric_kwargs = str(n_bins) + " bins" elif "bandwidth" in metric_kwargs: bandwidth = metric_kwargs.split(" ")[1][:-1] metric_kwargs = "bandwidth : " + str(bandwidth) p = ax2.loglog(report["n_samples_calibration_evaluations"], report["highs"], label=metric_kwargs, linestyle=linestyle, color=color, alpha=alpha) # ax2.loglog(report["n_samples_calibration_evaluations"], report["highs"], # label=metric_kwargs, linestyle=linestyle, color=color, alpha=alpha) # If a blank space needs to be created if metric_complete == legends[metric_name][-1][0] and len(legends[metric_name]) < max_entries: n_empties = max_entries - len(legends[metric_name]) for i in range(n_empties): ax2.plot([0, 1], [-1, -1], marker='o', label=".", color="white") ax1.set_xlim(30, 500) #ax2.set_xlim(30, 500) # ax1.set_ylim(0, ylim) # ax2.set_ylim(0, ylim) ax1.set_xticks([]) #ax2.set_xticks([e for e in [30, 100, 200, 300, 400, 500, 5000] if e <= cut_at]) # ax1.set_ylabel("Median deviation to ground truth trajectories") # ax2.set_ylabel("97.5th percentile deviation to ground truth trajectories") # ax2.set_xlabel("Number of samples used for the computation") # plt.legend([p], loc="lower center", bbox_to_anchor=(0.5, -0.3), ncol=3) #ax1.legend(loc=(1.025,0)) plt.legend(loc="lower center", bbox_to_anchor=(0.5, -0.325), ncol=len(list(legends.keys()))) # ax1.legend(loc=(1.025,0)) # if title is not None: # fig.title(title) plt.tight_layout() ax1.set_ylabel("Median deviation to ground truth trajectories") #ax2.set_ylabel("97.5th percentile deviation to ground truth trajectories") #ax2.set_xlabel("Number of samples used for the computation") plt.show()

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null

0

7

84020d9347c121077715049f27a44cd997df91ba

9,008

py

Python

tests/common/server_sent_events/sse4python/test_event_source.py

yellowdog/yellowdog-sdk-python-public

da69a7d6e45c92933e34fefcaef8b5d98dcd6036

[ "Apache-2.0" ]

null

tests/common/server_sent_events/sse4python/test_event_source.py

yellowdog/yellowdog-sdk-python-public

da69a7d6e45c92933e34fefcaef8b5d98dcd6036

[ "Apache-2.0" ]

null

tests/common/server_sent_events/sse4python/test_event_source.py

yellowdog/yellowdog-sdk-python-public

da69a7d6e45c92933e34fefcaef8b5d98dcd6036

[ "Apache-2.0" ]

null

from yellowdog_client.common.server_sent_events.sse4python import EventSource from yellowdog_client.common.server_sent_events.sse4python import EventSourceState import pytest class TestIsClosed(object): def test__token_source_cancelled__state_closed__expect_closed(self, mocker): mock_token = mocker.patch( "yellowdog_client.common.server_sent_events.sse4python.event_source.CancellationToken" ) mock_token.return_value.cancelled = True state = mocker.MagicMock() state.state.return_value = EventSourceState.CLOSED source = EventSource(url=mocker.MagicMock(), factory=mocker.MagicMock()) source.__setattr__("__current_state_internal", state) assert source.is_closed def test__token_source_non_cancelled__state_closed__expect_not_closed(self, mocker): mock_token = mocker.patch( "yellowdog_client.common.server_sent_events.sse4python.event_source.CancellationToken" ) mock_token.return_value.cancelled = False state = mocker.MagicMock() state.state.return_value = EventSourceState.CLOSED source = EventSource(url=mocker.MagicMock(), factory=mocker.MagicMock()) source.__setattr__("__current_state_internal", state) assert not source.is_closed def test__token_source_non_cancelled__state_not_closed__expect_closed(self, mocker): mock_token = mocker.patch( "yellowdog_client.common.server_sent_events.sse4python.event_source.CancellationToken" ) mock_token.return_value.cancelled = True state = mocker.MagicMock() source = EventSource(url=mocker.MagicMock(), factory=mocker.MagicMock()) source._current_state_internal = state state.state = EventSourceState.CONNECTING assert not source.is_closed state.state = EventSourceState.OPEN assert not source.is_closed class TestSetCurrentState(object): def test__set_current_state__same_value__expect_no_dispatch(self, mocker): state = mocker.MagicMock() mock_on_status_change = mocker.patch("yellowdog_client.common.server_sent_events.sse4python.event_source.EventSource._on_status_changed") source = EventSource(url=mocker.MagicMock(), factory=mocker.MagicMock()) # part of constructor mock_on_status_change.assert_called_once() source._current_state_internal = state source._current_state = state assert source._current_state_internal == state # still called once mock_on_status_change.assert_called_once() def test__set_current_state__expect_status_change_dispatch(self, mocker): state = mocker.MagicMock() state.state = "MY_CUSTOM_STATE" mock_on_status_change = mocker.patch("yellowdog_client.common.server_sent_events.sse4python.event_source.EventSource._on_status_changed") source = EventSource(url=mocker.MagicMock(), factory=mocker.MagicMock()) source._current_state = state assert source._current_state_internal == state mock_on_status_change.assert_any_call(state="MY_CUSTOM_STATE") class TestStart(object): def test__state_not_closed__expect_nothing_run(self, mocker): state = mocker.MagicMock() state.state = "RANDOM_STATE" mock_run = mocker.patch("yellowdog_client.common.server_sent_events.sse4python.event_source.EventSource._run") source = EventSource(url=mocker.MagicMock(), factory=mocker.MagicMock()) original_token = source._token_source source._current_state = state source.start() assert source._token_source == original_token mock_run.assert_not_called() class TestStart(object): def test__state_not_closed__expect_nothing_run(self, mocker): state = mocker.MagicMock() state.state = EventSourceState.OPEN mock_run = mocker.patch("yellowdog_client.common.server_sent_events.sse4python.event_source.EventSource._run") source = EventSource(url=mocker.MagicMock(), factory=mocker.MagicMock()) original_token = source._token_source source._current_state = state source.start() assert source._token_source == original_token mock_run.assert_not_called() def test__state_closed__expect_run_called(self, mocker): state = mocker.MagicMock() state.state = EventSourceState.CLOSED mock_run = mocker.patch("yellowdog_client.common.server_sent_events.sse4python.event_source.EventSource._run") source = EventSource(url=mocker.MagicMock(), factory=mocker.MagicMock()) original_token = source._token_source source._current_state = state source.start() assert source._token_source != original_token mock_run.assert_called_once() class TestStop(object): def test__token_cancelled__expect_nothing_invoked(self, mocker): state = mocker.MagicMock() state.state = EventSourceState.OPEN mock_completed = mocker.patch("yellowdog_client.common.server_sent_events.sse4python.event_source.EventSource._on_event_source_completed") source = EventSource(url=mocker.MagicMock(), factory=mocker.MagicMock()) source._token_source.cancel() source.stop() mock_completed.assert_not_called() def test__token_not_cancelled__expect_cancelled_and_complete_invoked(self, mocker): state = mocker.MagicMock() state.state = EventSourceState.OPEN mock_completed = mocker.patch("yellowdog_client.common.server_sent_events.sse4python.event_source.EventSource._on_event_source_completed") source = EventSource(url=mocker.MagicMock(), factory=mocker.MagicMock()) assert not source._token_source.cancelled source.stop() assert source._token_source.cancelled mock_completed.assert_called_once() class TestContinuationCallback(object): def test_token_cancelled__state_closed__expect_continuous_run_not_invoked(self, mocker): state = mocker.MagicMock() state.state = EventSourceState.CLOSED source = EventSource(url=mocker.MagicMock(), factory=mocker.MagicMock()) source._token_source.cancel() source._continuation_callback(connection_state=state) state.run.assert_not_called() def test_token_not_cancelled__state_closed__expect_continuous_run_invoked(self, mocker): state = mocker.MagicMock() state.state = EventSourceState.CLOSED source = EventSource(url=mocker.MagicMock(), factory=mocker.MagicMock()) assert not source._token_source.cancelled source._continuation_callback(connection_state=state) state.run.assert_called_once_with( message_received=source._on_event_received, error_handle=source._on_error_received, completed=source._on_event_source_completed, cancel_token=source._token_source, continuation_callback=source._continuation_callback ) def test_token_cancelled__state_not_closed__expect_continuous_run_invoked(self, mocker): state = mocker.MagicMock() state.state = EventSourceState.CONNECTING source = EventSource(url=mocker.MagicMock(), factory=mocker.MagicMock()) source._token_source.cancel() source._continuation_callback(connection_state=state) state.run.assert_called_once_with( message_received=source._on_event_received, error_handle=source._on_error_received, completed=source._on_event_source_completed, cancel_token=source._token_source, continuation_callback=source._continuation_callback ) def test_token_not_cancelled__state_not_closed__expect_continuous_run_invoked(self, mocker): state = mocker.MagicMock() state.state = EventSourceState.CONNECTING source = EventSource(url=mocker.MagicMock(), factory=mocker.MagicMock()) assert not source._token_source.cancelled source._continuation_callback(connection_state=state) state.run.assert_called_once_with( message_received=source._on_event_received, error_handle=source._on_error_received, completed=source._on_event_source_completed, cancel_token=source._token_source, continuation_callback=source._continuation_callback ) class TestOnStatusChanged(object): @pytest.fixture def result_fixture(self): self.__result = None return self.__result def set_result(self, state): self.__result = state def test__event_received(self, mocker, result_fixture): source = EventSource(url=mocker.MagicMock(), factory=mocker.MagicMock()) source.bind(state_changed=self.set_result) thread = source._on_status_changed(state=EventSourceState.CONNECTING) thread.join() assert self.__result == EventSourceState.CONNECTING

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0.783713

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0

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9,008

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0

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1

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false

0

0.018293

0

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0

null

0

1

0

1

0

null

0

7

840ce98787d2e3c7471c57bcda5eb6a8ddfa194d

73,811

py

Python

testsuite/test_sockets.py

ronaldoussoren/objc_asyncio

89e573fd4c95592515ea8c8a4abfeebdd261fde2

[ "MIT-0" ]

2

2021-02-20T22:10:54.000Z

2021-03-26T21:45:06.000Z

testsuite/test_sockets.py

ronaldoussoren/objc_asyncio

89e573fd4c95592515ea8c8a4abfeebdd261fde2

[ "MIT-0" ]

null

testsuite/test_sockets.py

ronaldoussoren/objc_asyncio

89e573fd4c95592515ea8c8a4abfeebdd261fde2

[ "MIT-0" ]

null

import asyncio import errno import io import os import socket import tempfile import threading import time import unittest.mock import objc_asyncio._sockets from . import utils class TestSocketEvents(utils.TestCase): def test_callout_error(self): class MyException(Exception): pass sd1, sd2 = self.make_socketpair() def callback(sd): try: sd.send("hello") except Exception: pass with utils.captured_log() as stream: with unittest.mock.patch.object( self.loop, "_process_events", side_effect=MyException ): async def main(): await asyncio.sleep(0.1) self.loop.add_writer(sd1, callback, sd1) self.loop.run_until_complete(main()) self.assertIn("Unexpected exception in selector handling", stream.getvalue()) def test_callout_systemexit(self): for exception in (SystemExit, KeyboardInterrupt): with self.subTest(exception=exception): sd1, sd2 = self.make_socketpair() def callback(sd): try: sd.send("hello") except Exception: pass with unittest.mock.patch.object( self.loop, "_process_events", side_effect=exception ): async def main(): try: await asyncio.sleep(0.1) except Exception: pass self.loop.add_writer(sd1, callback, sd1) with self.assertRaises(exception): self.loop.run_until_complete(main()) def test_add_reader(self): sd1, sd2 = self.make_socketpair() data = [] def callback(sd): data.append(sd.recv(100)) self.loop.add_reader(sd1, callback, sd1) async def writer(): sd2.sendall(b"hello") await asyncio.sleep(0.1) sd2.sendall(b"world") await asyncio.sleep(0.1) self.loop.run_until_complete(writer()) self.assertEqual(data, [b"hello", b"world"]) count = 0 def callback(sd): nonlocal count count += 1 self.loop.add_reader(sd1, callback, sd1) self.loop.run_until_complete(writer()) # We pass through the loop at least twice without # consuming the read event, hence the callback should # be called multiple times. self.assertGreater(count, 1) def test_cancel_reader(self): sd1, sd2 = self.make_socketpair() data = [] count = 0 def callback(sd): data.append(sd.recv(100)) def no_callback(): nonlocal count count += 1 self.loop.add_reader(sd1, callback, sd1) async def writer(): sd2.sendall(b"hello") await asyncio.sleep(0.1) self.loop.add_reader(sd1, no_callback) sd2.sendall(b"world") await asyncio.sleep(0.1) self.loop.run_until_complete(writer()) self.assertEqual(data, [b"hello"]) self.assertGreater(count, 0) def test_remove_reader(self): sd1, sd2 = self.make_socketpair() data = [] def callback(sd): data.append(sd.recv(100)) self.loop.add_reader(sd1, callback, sd1) async def writer(): sd2.sendall(b"hello") await asyncio.sleep(0.1) self.loop.remove_reader(sd1) sd2.sendall(b"world") await asyncio.sleep(0.1) self.loop.run_until_complete(writer()) self.assertEqual(data, [b"hello"]) def test_add_writer(self): sd1, sd2 = self.make_socketpair() data = [] def callback(sd): sd.send(b"x" * 1024 * 1024) self.loop.add_writer(sd1, callback, sd1) async def writer(): await asyncio.sleep(0.1) self.loop.run_until_complete(writer()) data = sd2.recv(1024 * 1024) self.assertGreater(len(data), 0) self.assertRegex(data, b"^x+$") count = 0 def callback(sd): nonlocal count count += 1 self.loop.add_writer(sd1, callback, sd1) self.loop.run_until_complete(writer()) # We pass through the loop at least twice without # consuming the read event, hence the callback should # be called multiple times. self.assertGreater(count, 1) def test_cancel_writer(self): sd1, sd2 = self.make_socketpair() count = 0 def callback(sd): sd.send(b"hello world\n") self.loop.add_writer(sd1, no_callback) def no_callback(): nonlocal count count += 1 self.loop.add_writer(sd1, callback, sd1) async def writer(): await asyncio.sleep(0.1) await asyncio.sleep(0.1) self.loop.run_until_complete(writer()) data = sd2.recv(1024) self.assertTrue(data.startswith(b"hello world\n")) self.assertGreater(count, 0) def test_remove_writer(self): sd1, sd2 = self.make_socketpair() data = [] def callback(sd): sd.send(b"hello") self.loop.remove_writer(sd) self.loop.add_writer(sd1, callback, sd1) async def writer(): await asyncio.sleep(0.1) await asyncio.sleep(0.1) self.loop.run_until_complete(writer()) data = sd2.recv(1024) self.assertEqual(data, b"hello") class TestLowLevelIO(utils.TestCase): def test_sock_recv_data_available(self): sd1, sd2 = self.make_socketpair() data = None async def main(): nonlocal data data = await self.loop.sock_recv(sd1, 100) sd2.send(b"hello") self.loop.run_until_complete(main()) self.assertEqual(data, b"hello") def test_sock_recv_waiting(self): for debug in (False, True): with self.subTest(debug=debug): self.loop.set_debug(debug) sd1, sd2 = self.make_socketpair() data = None async def main(): nonlocal data data = await self.loop.sock_recv(sd1, 100) self.loop.call_later(0.5, lambda: sd2.send(b"hello")) self.loop.run_until_complete(main()) self.assertEqual(data, b"hello") def test_sock_recv_socket_is_blocking(self): # The check for blocking sockets is only done # in debug mode. self.loop.set_debug(True) sd1, sd2 = self.make_socketpair() sd1.setblocking(True) data = exception = None async def main(): nonlocal data, exception try: data = await self.loop.sock_recv(sd1, 100) except Exception as exc: exception = exc sd2.send(b"hello") self.loop.run_until_complete(main()) self.assertEqual(data, None) self.assertIsInstance(exception, ValueError) def test_sock_recv_blocking(self): self.loop.set_debug(True) for exception_class in (BlockingIOError, InterruptedError): with self.subTest(exception_class=exception_class): sd1, sd2 = self.make_socketpair() sd_mock = unittest.mock.create_autospec(sd1) sd_mock.recv.side_effect = [ BlockingIOError(), exception_class(), b"world", ] sd_mock.fileno.return_value = sd1.fileno() sd_mock.gettimeout.return_value = sd1.gettimeout() data = exception = None async def main(): nonlocal data, exception try: data = await self.loop.sock_recv(sd_mock, 100) except Exception as exc: exception = exc sd2.send(b"hello") self.loop.run_until_complete(main()) self.assertIs(exception, None) self.assertEqual(data, b"world") def test_sock_recv_error(self): class MyException(Exception): pass sd1, sd2 = self.make_socketpair() sd_mock = unittest.mock.create_autospec(sd1) sd_mock.recv.side_effect = [BlockingIOError(), MyException()] sd_mock.fileno.return_value = sd1.fileno() data = exception = None async def main(): nonlocal data, exception try: data = await self.loop.sock_recv(sd_mock, 100) except Exception as exc: exception = exc sd2.send(b"hello") self.loop.run_until_complete(main()) self.assertIsInstance(exception, MyException) self.assertIs(data, None) def test_sock_recv_systemexit(self): # XXX: This test hangs, need to debug for exception_class in (SystemExit, KeyboardInterrupt): with self.subTest(exception_class=exception_class): sd1, sd2 = self.make_socketpair() sd_mock = unittest.mock.create_autospec(sd1) sd_mock.recv.side_effect = [ BlockingIOError(), exception_class(), b"dummy", ] sd_mock.fileno.return_value = sd1.fileno() data = exception = None async def main(): nonlocal data, exception try: data = await self.loop.sock_recv(sd_mock, 100) except Exception as exc: exception = exc sd2.send(b"hello") with self.assertRaises(exception_class): self.loop.run_until_complete(main()) def test_sock_recv_into_data_available(self): sd1, sd2 = self.make_socketpair() data = None n = None async def main(): nonlocal data, n data = bytearray(500) n = await self.loop.sock_recv_into(sd1, data) sd2.send(b"hello") self.loop.run_until_complete(main()) self.assertEqual(n, 5) self.assertEqual(data[:n], b"hello") def test_sock_recv_into_waiting(self): for debug in (False, True): with self.subTest(debug=debug): self.loop.set_debug(debug) sd1, sd2 = self.make_socketpair() data = None n = None async def main(): nonlocal data, n data = bytearray(500) n = await self.loop.sock_recv_into(sd1, data) self.loop.call_later(0.5, lambda: sd2.send(b"hello")) self.loop.run_until_complete(main()) self.assertEqual(n, 5) self.assertEqual(data[:n], b"hello") def test_sock_recv_into_socket_is_blocking(self): # The check for blocking sockets is only done # in debug mode. self.loop.set_debug(True) sd1, sd2 = self.make_socketpair() sd1.setblocking(True) data = exception = n = None async def main(): nonlocal data, n, exception try: data = bytearray(500) n = await self.loop.sock_recv_into(sd1, data) except Exception as exc: exception = exc sd2.send(b"hello") self.loop.run_until_complete(main()) self.assertEqual(data[0], 0) self.assertIsInstance(exception, ValueError) def test_sock_recv_into_blocking(self): self.loop.set_debug(True) for exception_class in (BlockingIOError, InterruptedError): with self.subTest(exception_class=exception_class): sd1, sd2 = self.make_socketpair() sd_mock = unittest.mock.create_autospec(sd1) sd_mock.recv_into.side_effect = [ BlockingIOError(), exception_class(), 8, ] sd_mock.fileno.return_value = sd1.fileno() sd_mock.gettimeout.return_value = sd1.gettimeout() data = n = exception = None async def main(): nonlocal data, n, exception try: data = bytearray(500) n = await self.loop.sock_recv_into(sd_mock, data) except Exception as exc: exception = exc sd2.send(b"hello") self.loop.run_until_complete(main()) self.assertIs(exception, None) self.assertEqual(n, 8) def test_sock_recv_into_error(self): class MyException(Exception): pass sd1, sd2 = self.make_socketpair() sd_mock = unittest.mock.create_autospec(sd1) sd_mock.recv_into.side_effect = [BlockingIOError(), MyException()] sd_mock.fileno.return_value = sd1.fileno() data = n = exception = None async def main(): nonlocal data, n, exception try: data = bytearray(500) n = await self.loop.sock_recv_into(sd_mock, data) except Exception as exc: exception = exc sd2.send(b"hello") self.loop.run_until_complete(main()) self.assertIsInstance(exception, MyException) self.assertIs(data[0], 0) def test_sock_recv_into_systemexit(self): for exception_class in (SystemExit, KeyboardInterrupt): with self.subTest(exception_class=exception_class): sd1, sd2 = self.make_socketpair() sd_mock = unittest.mock.create_autospec(sd1) sd_mock.recv_into.side_effect = [ BlockingIOError(), exception_class(), b"dummy", ] sd_mock.fileno.return_value = sd1.fileno() data = n = exception = None async def main(): nonlocal data, n, exception try: data = bytearray(500) n = await self.loop.sock_recv_into(sd_mock, data) except Exception as exc: exception = exc sd2.send(b"hello") with self.assertRaises(exception_class): self.loop.run_until_complete(main()) def test_sock_accept(self): server_sd = socket.socket(socket.AF_INET, socket.SOCK_STREAM, 0) server_sd.bind(("127.0.0.1", 0)) server_sd.listen(5) server_sd.setblocking(False) client_sd = client_addr = None sd = None def cleanup(): if server_sd is not None: server_sd.close() if client_sd is not None: client_sd.close() if sd is not None: sd.close() self.addCleanup(cleanup) def client(): nonlocal sd sd = socket.socket(socket.AF_INET, socket.SOCK_STREAM, 0) sd.connect(server_sd.getsockname()) async def main(): nonlocal client_sd, client_addr client_sd, client_addr = await self.loop.sock_accept(server_sd) self.loop.call_later(0.1, client) self.loop.run_until_complete(main()) self.assertIsInstance(client_sd, socket.socket) self.assertIsInstance(client_addr, tuple) def test_sock_accept_available(self): server_sd = socket.socket(socket.AF_INET, socket.SOCK_STREAM, 0) server_sd.bind(("127.0.0.1", 0)) server_sd.listen(5) server_sd.setblocking(False) client_sd = client_addr = None sd = None def cleanup(): if server_sd is not None: server_sd.close() if client_sd is not None: client_sd.close() if sd is not None: sd.close() self.addCleanup(cleanup) def client(): nonlocal sd sd = socket.socket(socket.AF_INET, socket.SOCK_STREAM, 0) sd.connect(server_sd.getsockname()) async def main(): nonlocal client_sd, client_addr client_sd, client_addr = await self.loop.sock_accept(server_sd) client() self.loop.run_until_complete(main()) self.assertIsInstance(client_sd, socket.socket) self.assertIsInstance(client_addr, tuple) def test_sock_accept_blocking_socket(self): server_sd = socket.socket(socket.AF_INET, socket.SOCK_STREAM, 0) server_sd.bind(("127.0.0.1", 0)) server_sd.listen(5) self.addCleanup(server_sd.close) self.loop.set_debug(True) async def main(): await self.loop.sock_accept(server_sd) with self.assertRaisesRegex(ValueError, "must be non-blocking"): self.loop.run_until_complete(main()) def test_sock_accept_systemexit(self): for exception_class in (SystemExit, KeyboardInterrupt): with self.subTest(exception_class=exception_class): server_sd = socket.socket(socket.AF_INET, socket.SOCK_STREAM, 0) server_sd.bind(("127.0.0.1", 0)) server_sd.listen(5) self.addCleanup(server_sd.close) sd_mock = unittest.mock.create_autospec(server_sd) sd_mock.accept.side_effect = [ BlockingIOError(), exception_class(), b"dummy", ] sd_mock.fileno.return_value = server_sd.fileno() exception = None sd = None def client(): nonlocal sd sd = socket.socket(socket.AF_INET, socket.SOCK_STREAM, 0) sd.connect(server_sd.getsockname()) async def main(): nonlocal exception try: await self.loop.sock_accept(sd_mock) except Exception as exc: exception = exc client() self.addCleanup(sd.close) with self.assertRaises(exception_class): self.loop.run_until_complete(main()) def test_sock_accept_exception(self): class MyException(Exception): pass server_sd = socket.socket(socket.AF_INET, socket.SOCK_STREAM, 0) server_sd.bind(("127.0.0.1", 0)) server_sd.listen(5) self.addCleanup(server_sd.close) sd_mock = unittest.mock.create_autospec(server_sd) sd_mock.accept.side_effect = [BlockingIOError(), MyException(), b"dummy"] sd_mock.fileno.return_value = server_sd.fileno() exception = None sd = None def client(): nonlocal sd sd = socket.socket(socket.AF_INET, socket.SOCK_STREAM, 0) sd.connect(server_sd.getsockname()) async def main(): nonlocal exception try: await self.loop.sock_accept(sd_mock) except Exception as exc: exception = exc client() self.addCleanup(sd.close) self.loop.run_until_complete(main()) self.assertIsInstance(exception, MyException) def test_sock_connect(self): for famname, family, server_addr in ( ("INET", socket.AF_INET, ("127.0.0.1", 0)), ("UNIX", socket.AF_UNIX, f"testsocket.{os.getpid()}"), ): with self.subTest(family=famname): server_sd = socket.socket(family, socket.SOCK_STREAM, 0) self.addCleanup(server_sd.close) server_sd.bind(server_addr) if family == socket.AF_UNIX: self.addCleanup(os.unlink, server_addr) server_sd.listen(5) server_sd.setblocking(False) client_sd = socket.socket(family, socket.SOCK_STREAM, 0) self.addCleanup(client_sd.close) client_sd.setblocking(False) def server(): sd, addr = server_sd.accept() try: self.assertEqual(sd.getpeername(), client_sd.getsockname()) self.assertEqual( client_sd.getpeername(), server_sd.getsockname() ) finally: sd.close() async def main(): await self.loop.sock_connect(client_sd, server_sd.getsockname()) await asyncio.sleep(0.2) self.loop.call_later(0.1, server) self.loop.run_until_complete(main()) # self.assertEqual(client_sd.getpeername(), server_sd.getsockname()) # self.assertEqual(sd.getpeername(), client_sd.getsockname()) def test_sock_connect_blocking_socket(self): server_sd = socket.socket(socket.AF_INET, socket.SOCK_STREAM, 0) self.addCleanup(server_sd.close) server_sd.bind(("127.0.0.1", 0)) server_sd.listen(5) server_sd.setblocking(False) client_sd = socket.socket(socket.AF_INET, socket.SOCK_STREAM, 0) self.addCleanup(client_sd.close) client_sd.setblocking(True) self.loop.set_debug(True) async def main(): await self.loop.sock_connect(client_sd, server_sd.getsockname()) with self.assertRaisesRegex(ValueError, "must be non-blocking"): self.loop.run_until_complete(main()) def test_sock_connect_no_connection(self): server_sd = socket.socket(socket.AF_INET, socket.SOCK_STREAM, 0) server_sd.bind(("127.0.0.1", 0)) server_sd.listen(5) server_sd.setblocking(False) server_addr = server_sd.getsockname() server_sd.close() server_sd = None client_sd = socket.socket(socket.AF_INET, socket.SOCK_STREAM, 0) client_sd.setblocking(False) self.addCleanup(client_sd.close) async def main(): await self.loop.sock_connect(client_sd, server_addr) with self.assertRaises(socket.error): self.loop.run_until_complete(main()) def test_sock_connect_systemexit(self): for exception_class in (SystemExit, KeyboardInterrupt): with self.subTest(exception_class=exception_class): server_sd = socket.socket(socket.AF_INET, socket.SOCK_STREAM, 0) server_sd.bind(("127.0.0.1", 0)) server_sd.listen(5) self.addCleanup(server_sd.close) client_sd = socket.socket(socket.AF_INET, socket.SOCK_STREAM, 0) self.addCleanup(client_sd.close) client_sd.setblocking(False) sd_mock = unittest.mock.create_autospec(client_sd) sd_mock.connect.side_effect = [exception_class, b"dummy"] sd_mock.fileno.return_value = client_sd.fileno() sd_mock.family = client_sd.family sd_mock.proto = client_sd.proto sd_mock.getsockopt.side_effect = lambda *args: client_sd.getsockopt( *args ) exception = None async def main(): nonlocal exception try: await self.loop.sock_connect(sd_mock, server_sd.getsockname()) except Exception as exc: exception = exc with self.assertRaises(exception_class): self.loop.run_until_complete(main()) self.assertIs(exception, None) def test_sock_connect_exception(self): class MyException(Exception): pass server_sd = socket.socket(socket.AF_INET, socket.SOCK_STREAM, 0) server_sd.bind(("127.0.0.1", 0)) server_sd.listen(5) self.addCleanup(server_sd.close) client_sd = socket.socket(socket.AF_INET, socket.SOCK_STREAM, 0) self.addCleanup(client_sd.close) client_sd.setblocking(False) sd_mock = unittest.mock.create_autospec(client_sd) sd_mock.connect.side_effect = [MyException, b"dummy"] sd_mock.fileno.return_value = client_sd.fileno() sd_mock.family = client_sd.family sd_mock.proto = client_sd.proto sd_mock.getsockopt.side_effect = lambda *args: client_sd.getsockopt(*args) exception = None async def main(): nonlocal exception try: await self.loop.sock_connect(sd_mock, server_sd.getsockname()) except Exception as exc: exception = exc self.loop.run_until_complete(main()) self.assertIsInstance(exception, MyException) def test_connect_hostname(self): sd = socket.socket(socket.AF_INET, socket.SOCK_STREAM, 0) self.addCleanup(sd.close) sd.setblocking(False) async def main(): await self.loop.sock_connect(sd, ("www.python.org", 80)) self.loop.run_until_complete(main()) # Quick check that the socket is now connected: sd.getpeername() def test_sock_sendall_some_data(self): sd1, sd2 = self.make_socketpair() data = None async def main(): await self.loop.sock_sendall(sd1, b"hello world") self.loop.run_until_complete(main()) data = sd2.recv(100) self.assertEqual(data, b"hello world") def test_sock_sendall_bulk(self): sd1, sd2 = self.make_socketpair() data = None blob = b"data" * 1024 * 1024 def client(): sd2.setblocking(True) buf = [] while True: data = sd2.recv(1024) if not data: break buf.append(data) return b"".join(buf) async def main(): await self.loop.sock_sendall(sd1, blob) fut = self.loop.run_in_executor(None, client) self.loop.run_until_complete(main()) sd1.close() data = self.loop.run_until_complete(fut) self.assertEqual(data, blob) def test_sock_sendall_blocking_socket(self): sd1, sd2 = self.make_socketpair() sd1.setblocking(True) self.loop.set_debug(True) async def main(): await self.loop.sock_sendall(sd1, b"hello world") with self.assertRaisesRegex(ValueError, "must be non-blocking"): self.loop.run_until_complete(main()) def test_sock_sendall_blocked(self): sd1, sd2 = self.make_socketpair() exceptions = [] def side_effect(*args): try: exc = exceptions.pop() except IndexError: pass else: raise exc from None return sd1.send(*args) sd_mock = unittest.mock.create_autospec(sd1) sd_mock.send.side_effect = side_effect sd_mock.fileno.return_value = sd1.fileno() async def main(): await self.loop.sock_sendall(sd_mock, b"hello world") for level in (1, 2): for exception in (BlockingIOError, InterruptedError): with self.subTest(exception=exception, level=level): exceptions = [exception for _ in range(level)] self.loop.run_until_complete(main()) self.assertEqual(sd2.recv(1024), b"hello world") def test_sock_sendall_systemexit(self): sd1, sd2 = self.make_socketpair() exceptions = [] def side_effect(*args): try: exc = exceptions.pop() except IndexError: pass else: raise exc from None return sd1.send(*args) sd_mock = unittest.mock.create_autospec(sd1) sd_mock.send.side_effect = side_effect sd_mock.fileno.return_value = sd1.fileno() async def main(): await self.loop.sock_sendall(sd_mock, b"hello world") for level in (1, 2): for exc in (SystemExit, KeyboardInterrupt): exceptions = [exc] if level == 2: exceptions.append(BlockingIOError) with self.subTest(exception=exc, level=level): with self.assertRaises(exc): self.loop.run_until_complete(main()) def test_sock_sendall_exception(self): # Arrange for exeption using mock. class MyException(Exception): pass exceptions = [] def side_effect(*args): try: exc = exceptions.pop() except IndexError: pass else: raise exc return sd1.send(*args) sd1, sd2 = self.make_socketpair() sd_mock = unittest.mock.create_autospec(sd1) sd_mock.send.side_effect = side_effect sd_mock.fileno.return_value = sd1.fileno() async def main(): nonlocal exception try: await self.loop.sock_sendall(sd_mock, b"hello world") except Exception as exc: exception = exc for level in (1, 2): if level == 1: exceptions = [MyException] else: exceptions = [MyException, BlockingIOError] with self.subTest(level=level): exception = None self.loop.run_until_complete(main()) self.assertIsInstance(exception, MyException) def basic_sendfile(self, stream, count=None, offset=0): sd1, sd2 = self.make_socketpair() expected = stream.read() stream.seek(0) def receiver(sd, buffer): sd.setblocking(True) while True: buf = sd.recv(1024 * 1024) if not buf: break buffer.append(buf) async def main(): try: await self.loop.sock_sendfile(sd1, stream, offset=offset, count=count) finally: sd1.close() data = [] fut = self.loop.run_in_executor(None, receiver, sd2, data) self.loop.run_until_complete(main()) self.loop.run_until_complete(fut) if count is not None: self.assertEqual(b"".join(data), expected[offset : offset + count]) self.assertEqual(stream.tell(), offset + count) else: self.assertEqual(b"".join(data), expected[offset:]) self.assertEqual(stream.tell(), len(expected)) def test_sendfile_basic_file(self): with tempfile.NamedTemporaryFile() as stream: stream.write(b"X" * 1024 * 1024) stream.seek(0) self.basic_sendfile(stream) def test_sendfile_basic_stringio(self): stream = io.BytesIO() stream.write(b"X" * 1024 * 1024) stream.seek(0) self.basic_sendfile(stream) def test_sendfile_basic_file_empty(self): with tempfile.NamedTemporaryFile() as stream: self.basic_sendfile(stream) def test_sendfile_basic_stringio_empty(self): stream = io.BytesIO() self.basic_sendfile(stream) def test_sendfile_basic_file_with_count(self): with tempfile.NamedTemporaryFile() as stream: stream.write(b"X" * 1024 * 1024) stream.seek(0) self.basic_sendfile(stream, count=123456) def test_sendfile_basic_stringio_with_count(self): stream = io.BytesIO() stream.write(b"X" * 1024 * 1024) stream.seek(0) self.basic_sendfile(stream, count=123456) def test_sendfile_basic_file_with_offset(self): with tempfile.NamedTemporaryFile() as stream: stream.write(b"hello world") stream.write(b"X" * 1024 * 1024) stream.seek(0) self.basic_sendfile(stream, offset=5) def test_sendfile_basic_stringio_with_offset(self): stream = io.BytesIO() stream.write(b"hello world") stream.write(b"X" * 1024 * 1024) stream.seek(0) self.basic_sendfile(stream, offset=5) def test_sendfile_basic_file_with_offset_and_count(self): with tempfile.NamedTemporaryFile() as stream: stream.write(b"hello world") stream.write(b"X" * 1024 * 1024) stream.seek(0) self.basic_sendfile(stream, offset=5, count=12345) def test_sendfile_basic_stringio_with_offset_and_count(self): stream = io.BytesIO() stream.write(b"hello world") stream.write(b"X" * 1024 * 1024) stream.seek(0) self.basic_sendfile(stream, offset=5, count=12345) def test_sock_sendfile_blocking_socket(self): sd1, sd2 = self.make_socketpair() sd1.setblocking(True) async def main(): await self.loop.sock_sendfile(sd1, stream) self.loop.set_debug(True) with open(__file__, "rb") as stream: with self.assertRaisesRegex(ValueError, "must be non-blocking"): self.loop.run_until_complete(main()) self.assertEqual(stream.tell(), 0) self.loop.set_debug(False) def test_sock_sendfile_stringio_without_fallback(self): sd1, sd2 = self.make_socketpair() stream = io.BytesIO() stream.write(b"X" * 100) stream.seek(0) async def main(): with self.assertRaises(asyncio.SendfileNotAvailableError): await self.loop.sock_sendfile(sd1, stream, fallback=False) self.assertEqual(stream.tell(), 0) self.loop.run_until_complete(main()) def test_sock_sendfile_special_file_without_fallback(self): # XXX: I have no idea how to trigger this a failure # of os.fstat without using mock or a closed file. # # In particular, os.fstat should never fail unless either the file # is closed, or there is a serious problem with the filesystem itself. sd1, sd2 = self.make_socketpair() with unittest.mock.patch.object(os, "fstat", side_effect=OSError): with open("/dev/null", "rb") as stream: async def main(): with self.assertRaises(asyncio.SendfileNotAvailableError): await self.loop.sock_sendfile(sd1, stream, fallback=False) self.assertEqual(stream.tell(), 0) self.loop.run_until_complete(main()) def test_sock_sendfile_no_seek(self): class MyFile: def __init__(self, stream): self._stream = stream def fileno(self): return self._stream.fileno() def readinto(self, buf): return self._stream.readinto(buf) sd1, sd2 = self.make_socketpair() def receiver(sd, buffer): sd.setblocking(True) while True: buf = sd.recv(1024 * 1024) if not buf: break buffer.append(buf) async def main(): try: await self.loop.sock_sendfile(sd1, stream) finally: sd1.close() with tempfile.NamedTemporaryFile() as raw_stream: raw_stream.write(b"X" * 1024 * 1024) raw_stream.seek(0) expected = raw_stream.read() raw_stream.seek(0) stream = MyFile(raw_stream) data = [] fut = self.loop.run_in_executor(None, receiver, sd2, data) self.loop.run_until_complete(main()) self.loop.run_until_complete(fut) self.assertEqual(b"".join(data), expected) def test_sock_sendfile_blocking_call(self): os_sendfile = os.sendfile with tempfile.NamedTemporaryFile() as stream: stream.write(b"X" * 1024 * 1024) for n in range(2): for exception in (BlockingIOError, InterruptedError): with self.subTest(num_blocks=n, exception=exception): stream.seek(0) left = n def side_effect(*args, **kwds): nonlocal left if left > 0: left -= 1 raise exception return os_sendfile(*args, **kwds) with unittest.mock.patch.object( os, "sendfile", side_effect=side_effect ): self.basic_sendfile(stream) def test_sock_sendfile_devzero(self): sd1, sd2 = self.make_socketpair() def receiver(sd, buffer): sd.setblocking(True) while True: buf = sd.recv(1024 * 1024) if not buf: break buffer.append(buf) async def main(): try: await self.loop.sock_sendfile(sd1, stream, count=1000) finally: sd1.close() with open("/dev/zero", "rb") as stream: data = [] fut = self.loop.run_in_executor(None, receiver, sd2, data) self.loop.run_until_complete(main()) self.loop.run_until_complete(fut) self.assertEqual(b"".join(data), b"\0" * 1000) def test_sock_sendfile_error(self): class MyException(Exception): pass sd1, sd2 = self.make_socketpair() exception = None def receiver(sd, buffer): sd.setblocking(True) while True: buf = sd.recv(1024 * 1024) if not buf: break buffer.append(buf) async def main(): nonlocal exception try: try: await self.loop.sock_sendfile(sd1, stream, count=1000) finally: sd1.close() except Exception as exc: exception = exc with unittest.mock.patch.object(os, "sendfile", side_effect=MyException): with tempfile.NamedTemporaryFile() as stream: stream.write(b"X" * 1024) stream.seek(0) data = [] fut = self.loop.run_in_executor(None, receiver, sd2, data) self.loop.run_until_complete(main()) self.loop.run_until_complete(fut) self.assertIsInstance(exception, MyException) self.assertEqual(b"".join(data), b"") def test_sock_sendfile_error_after_sent(self): sd1, sd2 = self.make_socketpair() exception = None def receiver(sd, buffer): sd.setblocking(True) while True: buf = sd.recv(1024 * 1024) if not buf: break buffer.append(buf) async def main(): nonlocal exception try: try: await self.loop.sock_sendfile(sd1, stream, count=1000) finally: sd1.close() except Exception as exc: exception = exc n = False os_sendfile = os.sendfile def side_effect(fd, fileno, offset, blocksize): nonlocal n if not n: n = True return os_sendfile(fd, fileno, offset, blocksize // 2) raise OSError(errno.EINVAL, "Invalid Argument") with unittest.mock.patch.object(os, "sendfile", side_effect=side_effect): with tempfile.NamedTemporaryFile() as stream: stream.write(b"X" * 1024) stream.seek(0) data = [] fut = self.loop.run_in_executor(None, receiver, sd2, data) self.loop.run_until_complete(main()) self.loop.run_until_complete(fut) self.assertIsInstance(exception, OSError) self.assertEqual(b"".join(data), b"X" * 500) def test_sock_sendfile_socket_closed(self): sd1, sd2 = self.make_socketpair() exception = None def receiver(sd, buffer): sd.setblocking(True) buf = sd.recv(1024 * 1024) buffer.append(buf) sd.close() async def main(): nonlocal exception try: try: await self.loop.sock_sendfile(sd1, stream, count=1000) finally: sd1.close() except Exception as exc: exception = exc os_sendfile = os.sendfile def side_effect(fd, fileno, offset, blocksize): result = os_sendfile(fd, fileno, offset, blocksize // 2) time.sleep(0.5) return result with unittest.mock.patch.object(os, "sendfile", side_effect=side_effect): with tempfile.NamedTemporaryFile() as stream: stream.write(b"X" * 1024) stream.seek(0) data = [] fut = self.loop.run_in_executor(None, receiver, sd2, data) self.loop.run_until_complete(main()) self.loop.run_until_complete(fut) self.assertIsInstance(exception, OSError) self.assertEqual(b"".join(data), b"X" * 500) def _test_sock_sendfile_systemexit(self): for exception in (SystemExit, KeyboardInterrupt): with self.subTest(exception=exception): sd1, sd2 = self.make_socketpair() exception = None def receiver(sd, buffer): sd.setblocking(True) while True: buf = sd.recv(1024 * 1024) if not buf: break buffer.append(buf) async def main(): nonlocal exception try: try: await self.loop.sock_sendfile(sd1, stream, count=1000) finally: sd1.close() except Exception as exc: exception = exc with unittest.mock.patch.object(os, "sendfile", side_effect=exception): with tempfile.NamedTemporaryFile() as stream: stream.write(b"X" * 1024) stream.seek(0) data = [] fut = self.loop.run_in_executor(None, receiver, sd2, data) with self.assertRaises(exception): self.loop.run_until_complete(main()) self.loop.run_until_complete(fut) self.assertEqual(b"".join(data), b"0" * 1000) self.assertIs(exception, None) def test_sock_sendfile_params(self): sd1, sd2 = self.make_socketpair() with self.subTest("text mode file"): with open(__file__, "r") as stream: with self.assertRaisesRegex(ValueError, "binary mode"): self.loop.run_until_complete(self.loop.sock_sendfile(sd1, stream)) with open(__file__, "rb") as stream: with self.subTest("non-stream socket"): sd_udp = socket.socket(socket.AF_INET, socket.SOCK_DGRAM) sd_udp.setblocking(False) self.addCleanup(sd_udp.close) with self.assertRaisesRegex(ValueError, "only SOCK_STREAM"): self.loop.run_until_complete( self.loop.sock_sendfile(sd_udp, stream) ) with self.subTest("count == 0"): with self.assertRaisesRegex( ValueError, "count must be a positive integer" ): self.loop.run_until_complete( self.loop.sock_sendfile(sd1, stream, count=0) ) with self.subTest("count < 0"): with self.assertRaisesRegex( ValueError, "count must be a positive integer" ): self.loop.run_until_complete( self.loop.sock_sendfile(sd1, stream, count=-5) ) with self.subTest("count not integer"): with self.assertRaisesRegex( TypeError, "count must be a positive integer" ): self.loop.run_until_complete( self.loop.sock_sendfile(sd1, stream, count="count") ) with self.subTest("offset < 0"): with self.assertRaisesRegex( ValueError, "offset must be a non-negative integer" ): self.loop.run_until_complete( self.loop.sock_sendfile(sd1, stream, offset=-5) ) with self.subTest("offset not integer"): with self.assertRaisesRegex( TypeError, "offset must be a non-negative integer" ): self.loop.run_until_complete( self.loop.sock_sendfile(sd1, stream, offset="count") ) class TestSocketHighlevel(utils.TestCase): def test_create_connection_basic(self): # Basic test of the functionality. This intentionally uses # a real website (at least for now) async def main(): hostname = "www.nu.nl" on_connection_lost = self.loop.create_future() transport, protocol = await self.loop.create_connection( lambda: WebClientProtocol(hostname, on_connection_lost), hostname, 80 ) try: data, exc = await on_connection_lost finally: transport.close() self.assertIs(exc, None) self.assertIn(b"301 Moved", data) self.loop.run_until_complete(main()) def test_create_connection_eyeballs(self): # Basic test of the functionality. This intentionally uses # a real website (at least for now) async def main(): hostname = "www.python.org" on_connection_lost = self.loop.create_future() transport, protocol = await self.loop.create_connection( lambda: WebClientProtocol(hostname, on_connection_lost), hostname, 80, happy_eyeballs_delay=0.25, ) try: data, exc = await on_connection_lost finally: transport.close() self.assertIs(exc, None) self.assertIn(b"301 Moved", data) self.loop.run_until_complete(main()) def test_create_connection_with_localaddr(self): addr, port = self.make_echoserver() async def main(): message = b"hello world" on_connection_lost = self.loop.create_future() transport, protocol = await self.loop.create_connection( lambda: EchoClientProtocol(message, on_connection_lost), addr, port, local_addr=("localhost", 0), ) sock = transport.get_extra_info("socket") self.assertEqual(sock.getsockname()[0], "127.0.0.1") try: data = await on_connection_lost finally: transport.close() self.assertEqual(data, b"HELLO WORLD\r\n") self.loop.run_until_complete(main()) def test_create_connection_with_localaddr_invalid(self): addr, port = self.make_echoserver() async def main(): message = b"hello world" on_connection_lost = self.loop.create_future() with self.assertRaisesRegex(OSError, "error while attempting to bind"): await self.loop.create_connection( lambda: EchoClientProtocol(message, on_connection_lost), addr, port, local_addr=("www.python.org", 0), ) self.loop.run_until_complete(main()) def test_create_connection_with_localaddr_invalid_ipv6(self): addr, port = self.make_echoserver() async def main(): message = b"hello world" on_connection_lost = self.loop.create_future() with self.assertRaisesRegex(TypeError, "error while attempting to bind"): await self.loop.create_connection( lambda: EchoClientProtocol(message, on_connection_lost), addr, port, local_addr=("ipv6.google.com", 0), ) self.loop.run_until_complete(main()) def test_create_connection_with_socket(self): addr, port = self.make_echoserver() async def main(): message = b"hello world" on_connection_lost = self.loop.create_future() sd = socket.socket(socket.AF_INET, socket.SOCK_STREAM) sd.connect((addr, port)) transport, protocol = await self.loop.create_connection( lambda: EchoClientProtocol(message, on_connection_lost), sock=sd, local_addr=("localhost", 0), ) sock = transport.get_extra_info("socket") self.assertEqual(sock.getsockname(), sd.getsockname()) try: data = await on_connection_lost finally: transport.close() self.assertEqual(data, b"HELLO WORLD\r\n") self.loop.run_until_complete(main()) def test_create_connection_with_socket_udp(self): async def main(): message = b"hello world" on_connection_lost = self.loop.create_future() sd = socket.socket(socket.AF_INET, socket.SOCK_DGRAM, 0) self.addCleanup(sd.close) with self.assertRaisesRegex(ValueError, "a stream socket was expected"): await self.loop.create_connection( lambda: EchoClientProtocol(message, on_connection_lost), sock=sd ) self.loop.run_until_complete(main()) def test_create_connection_without_info(self): async def main(): message = b"hello world" on_connection_lost = self.loop.create_future() with self.assertRaisesRegex( ValueError, "host and port was not specified and no sock specified" ): await self.loop.create_connection( lambda: EchoClientProtocol(message, on_connection_lost) ) self.loop.run_until_complete(main()) def test_create_connection_with_sock_and_info(self): addr, port = self.make_echoserver() async def main(): message = b"hello world" on_connection_lost = self.loop.create_future() sd = socket.socket(socket.AF_INET, socket.SOCK_STREAM) sd.connect((addr, port)) self.addCleanup(sd.close) with self.assertRaisesRegex( ValueError, "host/port and sock can not be specified at the same time" ): await self.loop.create_connection( lambda: EchoClientProtocol(message, on_connection_lost), addr, port, sock=sd, ) self.loop.run_until_complete(main()) def test_create_connection_no_such_host(self): async def main(): message = b"hello world" on_connection_lost = self.loop.create_future() with self.assertRaises(OSError): await self.loop.create_connection( lambda: EchoClientProtocol(message, on_connection_lost), "nosuchhost.python.org", 80, ) self.loop.run_until_complete(main()) def test_create_connection_unnecessary_server_hostname(self): async def main(): message = b"hello world" on_connection_lost = self.loop.create_future() with self.assertRaisesRegex( ValueError, "server_hostname is only meaningful" ): await self.loop.create_connection( lambda: EchoClientProtocol(message, on_connection_lost), "www.python.org", 80, server_hostname="www.python.org", ) self.loop.run_until_complete(main()) def test_create_connection_unnecessary_ssl_timeout(self): async def main(): message = b"hello world" on_connection_lost = self.loop.create_future() with self.assertRaisesRegex( ValueError, "ssl_handshake_timeout is only meaningful" ): await self.loop.create_connection( lambda: EchoClientProtocol(message, on_connection_lost), "www.python.org", 80, ssl_handshake_timeout=4, ) self.loop.run_until_complete(main()) def test_create_server_basic(self): async def main(): server = await self.loop.create_server( utils.EchoServerProtocol, host="127.0.0.1", port=0 ) self.assertIsInstance(server, asyncio.AbstractServer) async with server: await server.start_serving() addr, port = server.sockets[0].getsockname() on_connection_lost = self.loop.create_future() transport, protocol = await self.loop.create_connection( lambda: EchoClientProtocol(b"hello world", on_connection_lost), addr, port, ) try: data = await on_connection_lost finally: transport.close() self.assertEqual(data, b"HELLO WORLD\r\n") self.loop.run_until_complete(main()) def test_create_server_unneeded_ssltime(self): async def main(): with self.assertRaisesRegex(ValueError, "ssl_handshake_timeout is only"): await self.loop.create_server( utils.EchoServerProtocol, "127.0.0.1", 0, ssl_handshake_timeout=4 ) self.loop.run_until_complete(main()) def test_create_server_host_and_sock(self): async def main(): sd = socket.socket(socket.AF_INET, socket.SOCK_STREAM) sd.listen(5) self.addCleanup(sd.close) with self.assertRaisesRegex( ValueError, "host/port and sock can not be specified" ): await self.loop.create_server( utils.EchoServerProtocol, "127.0.0.1", 0, sock=sd ) self.loop.run_until_complete(main()) def test_sendfile_unsupported(self): class MyTransport(asyncio.Transport): def is_closing(self): return False with self.subTest("attribute missing"): async def main(): with open(__file__, "rb") as stream: with self.assertRaisesRegex( RuntimeError, "sendfile is not supported for transport" ): await self.loop.sendfile(MyTransport(), stream) self.loop.run_until_complete(main()) with self.subTest("attribute UNSUPOORTED"): MyTransport._sendfile_compatible = ( objc_asyncio._sockets._SendfileMode.UNSUPPORTED ) async def main(): with open(__file__, "rb") as stream: with self.assertRaisesRegex( RuntimeError, "sendfile is not supported for transport" ): await self.loop.sendfile(MyTransport(), stream) self.loop.run_until_complete(main()) def sendfile_shared(self, on_connection_made): server_sd = socket.socket(socket.AF_INET, socket.SOCK_STREAM, 0) server_sd.bind(("127.0.0.1", 0)) server_sd.listen(5) self.addCleanup(server_sd.close) data = [] def receiver(): nonlocal data sd, _ = server_sd.accept() try: while True: b = sd.recv(1024) if not b: break data.append(b) finally: sd.close() thr = threading.Thread(target=receiver) thr.start() async def main(): on_connection_lost = self.loop.create_future() transport, protocol = await self.loop.create_connection( lambda: SendFileProtocol(on_connection_made, on_connection_lost), *server_sd.getsockname(), ) try: result = await on_connection_lost if protocol.task is not None: await protocol.task finally: transport.close() self.assertIs(result, None) self.loop.run_until_complete(main()) thr.join() return b"".join(data) def test_sendfile_basic(self): async def on_connection_made(transport): try: with open(__file__, "rb") as stream: await self.loop.sendfile(transport, stream) finally: transport.close() data = self.sendfile_shared(on_connection_made) with open(__file__, "rb") as stream: self.assertEqual(data, stream.read()) def test_sendfile_offset(self): OFFSET = 100 async def on_connection_made(transport): try: with open(__file__, "rb") as stream: await self.loop.sendfile(transport, stream, offset=OFFSET) finally: transport.close() data = self.sendfile_shared(on_connection_made) with open(__file__, "rb") as stream: self.assertEqual(data, stream.read()[OFFSET:]) def test_sendfile_count(self): COUNT = 100 async def on_connection_made(transport): try: with open(__file__, "rb") as stream: await self.loop.sendfile(transport, stream, count=COUNT) finally: transport.close() data = self.sendfile_shared(on_connection_made) with open(__file__, "rb") as stream: self.assertEqual(data, stream.read()[:COUNT]) def test_sendfile_fallback_not_taken_native_transport(self): async def on_connection_made(transport): try: stream = io.BytesIO() with self.assertRaisesRegex(RuntimeError, "not a regular file"): await self.loop.sendfile(transport, stream, fallback=False) finally: transport.close() data = self.sendfile_shared(on_connection_made) self.assertEqual(data, b"") def test_sendfile_fallback_not_taken_fallback_transport(self): async def on_connection_made(transport): try: transport._sendfile_compatible = ( objc_asyncio._sockets._SendfileMode.FALLBACK ) stream = io.BytesIO() with self.assertRaisesRegex( RuntimeError, "fallback is disabled and native sendfile" ): await self.loop.sendfile(transport, stream, fallback=False) finally: transport.close() data = self.sendfile_shared(on_connection_made) self.assertEqual(data, b"") def test_sendfile_fallback(self): MESSAGE = b"hello world" * 1024 async def on_connection_made(transport): try: stream = io.BytesIO() stream.write(MESSAGE) stream.seek(0) await self.loop.sendfile(transport, stream) finally: transport.close() data = self.sendfile_shared(on_connection_made) self.assertEqual(data, MESSAGE) def test_sendfile_fallback_offset(self): MESSAGE = b"hello world" * 1024 OFFSET = 4535 async def on_connection_made(transport): try: stream = io.BytesIO() stream.write(MESSAGE) stream.seek(0) await self.loop.sendfile(transport, stream, offset=OFFSET) finally: transport.close() data = self.sendfile_shared(on_connection_made) self.assertEqual(data, MESSAGE[OFFSET:]) def test_sendfile_fallback_offset_count(self): MESSAGE = b"hello world" * 1024 OFFSET = 4535 COUNT = 655 async def on_connection_made(transport): try: stream = io.BytesIO() stream.write(MESSAGE) stream.seek(0) await self.loop.sendfile(transport, stream, offset=OFFSET, count=COUNT) finally: transport.close() data = self.sendfile_shared(on_connection_made) self.assertEqual(data, MESSAGE[OFFSET : OFFSET + COUNT]) def test_sendfile_closing(self): async def on_connection_made(transport): transport.close() with open(__file__, "rb") as stream: with self.assertRaisesRegex(RuntimeError, "Transport is closing"): await self.loop.sendfile(transport, stream) data = self.sendfile_shared(on_connection_made) self.assertEqual(data, b"") def test_create_datagram_endpoint_basic(self): class DummyProtocol(asyncio.DatagramProtocol): def datagram_received(self, data, addr): pass def error_received(self, exc): pass async def main(): transport, protocol = await self.loop.create_datagram_endpoint( DummyProtocol, ("127.0.0.1", 0) ) self.assertIsInstance(transport, objc_asyncio.PyObjCDatagramTransport) self.assertIsInstance(protocol, DummyProtocol) self.loop.run_until_complete(main()) def test_connect_accepted_socket_basic(self): async def main(): sd1, sd2 = self.make_socketpair() try: transport, protocol = await self.loop.connect_accepted_socket( utils.EchoServerProtocol, sd1 ) await self.loop.sock_sendall(sd2, b"hello world") data = await self.loop.sock_recv(sd2, 1024) self.assertEqual(data, b"HELLO WORLD") finally: transport.close() self.loop.run_until_complete(main()) def test_connect_accepted_socket_not_stream(self): async def main(): sd = socket.socket(socket.AF_INET, socket.SOCK_DGRAM, 0) sd.bind(("127.0.0.1", 0)) sd.setblocking(False) self.addCleanup(sd.close) with self.assertRaisesRegex(ValueError, "a stream socket was expected"): await self.loop.connect_accepted_socket(utils.EchoServerProtocol, sd) self.loop.run_until_complete(main()) def test_create_datagram_endpoint_socket(self): async def main(): sd = socket.socket(socket.AF_INET, socket.SOCK_DGRAM) sd.bind(("127.0.0.1", 0)) transport, protocol = await self.loop.create_datagram_endpoint( utils.EchoServerProtocol, sock=sd ) try: sock = transport.get_extra_info("socket") self.assertEqual(sock.getsockname(), sd.getsockname()) finally: transport.close() self.loop.run_until_complete(main()) def test_create_datagram_endpoint_socket_kwargs(self): async def main(): sd = socket.socket(socket.AF_INET, socket.SOCK_DGRAM) sd.bind(("127.0.0.1", 0)) self.addCleanup(sd.close) for kw in ( "local_addr", "remote_addr", "family", "proto", "flags", "reuse_address", "reuse_port", "allow_broadcast", ): with self.subTest(keyword=kw): with self.assertRaisesRegex(ValueError, "socket modifier keyword"): await self.loop.create_datagram_endpoint( utils.EchoServerProtocol, sock=sd, **{kw: True} ) self.loop.run_until_complete(main()) def test_create_datagram_endpoint_socket_stream(self): async def main(): sd = socket.socket(socket.AF_INET, socket.SOCK_STREAM) sd.bind(("127.0.0.1", 0)) self.addCleanup(sd.close) with self.assertRaisesRegex(ValueError, "a datagram socket was expected"): await self.loop.create_datagram_endpoint( utils.EchoServerProtocol, sock=sd ) self.loop.run_until_complete(main()) def test_create_datagram_endpoint_basic_server(self): async def main(): transport, protocol = await self.loop.create_datagram_endpoint( utils.EchoServerProtocol, local_addr=("127.0.0.1", 0) ) try: self.assertIsInstance(transport, objc_asyncio.PyObjCDatagramTransport) self.assertIsInstance(protocol, utils.EchoServerProtocol) finally: transport.close() self.loop.run_until_complete(main()) def test_create_datagram_endpoint_basic_client(self): async def main(): transport, protocol = await self.loop.create_datagram_endpoint( utils.EchoServerProtocol, remote_addr=("127.0.0.1", 9) ) try: self.assertIsInstance(transport, objc_asyncio.PyObjCDatagramTransport) self.assertIsInstance(protocol, utils.EchoServerProtocol) finally: transport.close() self.loop.run_until_complete(main()) def test_create_datagram_endpoint_basic_family(self): async def main(): transport, protocol = await self.loop.create_datagram_endpoint( utils.EchoServerProtocol, family=socket.AF_INET ) try: self.assertIsInstance(transport, objc_asyncio.PyObjCDatagramTransport) self.assertIsInstance(protocol, utils.EchoServerProtocol) finally: transport.close() self.loop.run_until_complete(main()) def test_create_datagram_endpoint_no_info(self): async def main(): with self.assertRaisesRegex(ValueError, "unexpected address family"): await self.loop.create_datagram_endpoint(utils.EchoServerProtocol) self.loop.run_until_complete(main()) def test_create_datagram_endpoint_reuseaddr_true(self): async def main(): with self.assertRaisesRegex(ValueError, "significant security concern"): await self.loop.create_datagram_endpoint( utils.EchoServerProtocol, family=socket.AF_INET, reuse_address=True ) self.loop.run_until_complete(main()) def test_create_datagram_endpoint_reuseaddr_false(self): async def main(): with self.assertWarnsRegex( DeprecationWarning, r"\*reuse_address\* parameter" ): await self.loop.create_datagram_endpoint( utils.EchoServerProtocol, family=socket.AF_INET, reuse_address=False ) self.loop.run_until_complete(main()) class TestSocketTLS(utils.TestCase): def test_create_connection_basic_tls(self): async def main(): hostname = "www.nu.nl" context = utils.simple_client_sslcontext() on_connection_lost = self.loop.create_future() transport, protocol = await self.loop.create_connection( lambda: WebClientProtocol(hostname, on_connection_lost), hostname, 443, ssl=context, ) try: data, exc = await on_connection_lost finally: transport.close() self.assertIs(exc, None) self.assertIn(b"HTTP/1.1 200 OK", data) self.assertIn(b"Het laatste nieuws het eerst op NU.nl", data) self.loop.run_until_complete(main()) def test_create_connection_sock_tls(self): async def main(): hostname = "www.nu.nl" sd = socket.socket(socket.AF_INET, socket.SOCK_STREAM, 0) sd.connect((hostname, 443)) context = utils.simple_client_sslcontext() on_connection_lost = self.loop.create_future() transport, protocol = await self.loop.create_connection( lambda: WebClientProtocol(hostname, on_connection_lost), sock=sd, ssl=context, server_hostname=hostname, ) try: data, exc = await on_connection_lost finally: transport.close() self.assertIs(exc, None) self.assertIn(b"HTTP/1.1 200 OK", data) self.assertIn(b"Het laatste nieuws het eerst op NU.nl", data) self.loop.run_until_complete(main()) def test_create_connection_sock_tls_missing_servername(self): async def main(): sd = socket.socket(socket.AF_INET, socket.SOCK_STREAM, 0) self.addCleanup(sd.close) context = utils.simple_client_sslcontext() on_connection_lost = self.loop.create_future() with self.assertRaisesRegex(ValueError, "You must set server_hostname"): await self.loop.create_connection( lambda: WebClientProtocol("www.nu.nl", on_connection_lost), sock=sd, ssl=context, ) self.loop.run_until_complete(main()) def test_create_server_ssl_bool(self): async def main(): with self.assertRaisesRegex(TypeError, "ssl argument must be"): await self.loop.create_server( utils.EchoServerProtocol, "127.0.0.1", 0, ssl=True ) self.loop.run_until_complete(main()) def test_create_server_ssl(self): async def main(): context = utils.simple_server_sslcontext() server = await self.loop.create_server( utils.EchoServerProtocol, "127.0.0.1", 0, ssl=context ) async with server: pass self.loop.run_until_complete(main()) class SendFileProtocol(asyncio.Protocol): def __init__(self, on_connection_made, on_connection_lost): self.on_connection_made = on_connection_made self.on_connection_lost = on_connection_lost self.task = None def connection_made(self, transport): self.task = asyncio.Task(self.on_connection_made(transport)) def data_received(self, data): pass def connection_lost(self, exc): self.on_connection_lost.set_result(None) class EchoClientProtocol(asyncio.Protocol): def __init__(self, message, on_connection_lost): self.message = message self.data = [] self.on_connection_lost = on_connection_lost def connection_made(self, transport): transport.write(self.message + b"\r\n") def data_received(self, data): self.data.append(data) def connection_lost(self, exc): self.on_connection_lost.set_result(b"".join(self.data)) class WebClientProtocol(asyncio.Protocol): def __init__(self, hostname, on_connection_lost): self.hostname = hostname self.data = [] self.on_connection_lost = on_connection_lost def connection_made(self, transport): transport.write( b"GET / HTTP/1.0\r\nHost: %s\r\n\r\n" % (self.hostname.encode(),) ) def data_received(self, data): self.data.append(data) def connection_lost(self, exc): self.on_connection_lost.set_result((b"".join(self.data), exc))

31.773999

88

0.555432

7,872

73,811

5.018801

0.051956

0.050218

0.029791

0.040093

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0.819454

0.786955

0.761137

0.742533

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2,322

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31.787683

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false

0.010077

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0

null

0

1

0

1

0

null

0

7

8447812db4a390bf4693c07a5816531d593d11fe

8,776

py

Python

src/tests/functional/api/test_api_views.py

td00/pretalx

aff450de9420fca167e04345fa24ee7140fae819

[ "Apache-2.0" ]

null

src/tests/functional/api/test_api_views.py

td00/pretalx

aff450de9420fca167e04345fa24ee7140fae819

[ "Apache-2.0" ]

null

src/tests/functional/api/test_api_views.py

td00/pretalx

aff450de9420fca167e04345fa24ee7140fae819

[ "Apache-2.0" ]

null

import json import pytest @pytest.mark.django_db def test_can_only_see_public_events(client, event, other_event): other_event.is_public = False other_event.save() assert event.is_public assert not other_event.is_public response = client.get('/api/events', follow=True) content = json.loads(response.content.decode()) assert response.status_code == 200 assert len(content) == 1, content assert content[0]['name']['en'] == event.name @pytest.mark.django_db def test_orga_can_see_nonpublic_events(orga_client, event, other_event): event.is_public = False event.save() assert not event.is_public assert other_event.is_public response = orga_client.get('/api/events', follow=True) content = json.loads(response.content.decode()) assert response.status_code == 200 assert len(content) == 2, content assert content[0]['name']['en'] == event.name @pytest.mark.django_db def test_can_only_see_public_submissions(client, slot, accepted_submission, rejected_submission, submission): response = client.get(submission.event.api_urls.submissions, follow=True) content = json.loads(response.content.decode()) assert response.status_code == 200 assert content['count'] == 1 assert content['results'][0]['title'] == slot.submission.title @pytest.mark.django_db def test_can_only_see_public_submissions_if_public_schedule(client, slot, accepted_submission, rejected_submission, submission): submission.event.settings.set('show_schedule', False) response = client.get(submission.event.api_urls.submissions, follow=True) content = json.loads(response.content.decode()) assert response.status_code == 200 assert content['count'] == 0 @pytest.mark.django_db def test_orga_can_see_all_submissions(orga_client, slot, accepted_submission, rejected_submission, submission): response = orga_client.get(submission.event.api_urls.submissions, follow=True) content = json.loads(response.content.decode()) assert response.status_code == 200 assert content['count'] == 4 assert content['results'][0]['title'] == slot.submission.title @pytest.mark.django_db def test_orga_can_see_all_submissions_even_nonpublic(orga_client, slot, accepted_submission, rejected_submission, submission): submission.event.settings.set('show_schedule', False) response = orga_client.get(submission.event.api_urls.submissions, follow=True) content = json.loads(response.content.decode()) assert response.status_code == 200 assert content['count'] == 4 assert content['results'][0]['title'] == slot.submission.title @pytest.mark.django_db def test_can_only_see_public_talks(client, slot, accepted_submission, rejected_submission, submission): response = client.get(submission.event.api_urls.talks, follow=True) content = json.loads(response.content.decode()) assert response.status_code == 200 assert content['count'] == 1 assert content['results'][0]['title'] == slot.submission.title @pytest.mark.django_db def test_can_only_see_public_talks_if_public_schedule(client, slot, accepted_submission, rejected_submission, submission): submission.event.settings.set('show_schedule', False) response = client.get(submission.event.api_urls.talks, follow=True) content = json.loads(response.content.decode()) assert response.status_code == 200 assert content['count'] == 0 @pytest.mark.django_db def test_orga_can_see_all_talks(orga_client, slot, accepted_submission, rejected_submission, submission): response = orga_client.get(submission.event.api_urls.talks, follow=True) content = json.loads(response.content.decode()) assert response.status_code == 200 assert content['count'] == 1 assert content['results'][0]['title'] == slot.submission.title @pytest.mark.django_db def test_orga_can_see_all_talks_even_nonpublic(orga_client, slot, accepted_submission, rejected_submission, submission): submission.event.settings.set('show_schedule', False) response = orga_client.get(submission.event.api_urls.talks, follow=True) content = json.loads(response.content.decode()) assert response.status_code == 200 assert content['count'] == 1 assert content['results'][0]['title'] == slot.submission.title @pytest.mark.django_db def test_user_can_see_schedule(client, slot): assert slot.submission.event.schedules.count() == 2 response = client.get(slot.submission.event.api_urls.schedules, follow=True) content = json.loads(response.content.decode()) assert response.status_code == 200 assert content['count'] == 1 @pytest.mark.django_db def test_user_cannot_see_wip_schedule(client, slot): assert slot.submission.event.schedules.count() == 2 response = client.get(slot.submission.event.api_urls.schedules + '/wip', follow=True) json.loads(response.content.decode()) assert response.status_code == 404 @pytest.mark.django_db def test_user_cannot_see_schedule_if_not_public(client, slot): slot.submission.event.settings.set('show_schedule', False) assert slot.submission.event.schedules.count() == 2 response = client.get(slot.submission.event.api_urls.schedules, follow=True) content = json.loads(response.content.decode()) assert response.status_code == 200 assert content['count'] == 0 @pytest.mark.django_db def test_orga_can_see_schedule(orga_client, slot): assert slot.submission.event.schedules.count() == 2 response = orga_client.get(slot.submission.event.api_urls.schedules, follow=True) content = json.loads(response.content.decode()) assert response.status_code == 200 assert content['count'] == 2 @pytest.mark.django_db def test_orga_can_see_wip_schedule(orga_client, slot): assert slot.submission.event.schedules.count() == 2 response = orga_client.get(slot.submission.event.api_urls.schedules + '/wip', follow=True) json.loads(response.content.decode()) assert response.status_code == 200 @pytest.mark.django_db def test_orga_can_see_current_schedule(orga_client, slot): assert slot.submission.event.schedules.count() == 2 response = orga_client.get(slot.submission.event.api_urls.schedules + '/latest', follow=True) json.loads(response.content.decode()) assert response.status_code == 200 assert slot.submission.title in response.content.decode() @pytest.mark.django_db def test_orga_cannot_see_schedule_even_if_not_public(orga_client, slot): slot.submission.event.settings.set('show_schedule', False) assert slot.submission.event.schedules.count() == 2 response = orga_client.get(slot.submission.event.api_urls.schedules, follow=True) content = json.loads(response.content.decode()) assert response.status_code == 200 assert content['count'] == 2 @pytest.mark.django_db def test_can_only_see_public_speakers(client, slot, accepted_submission, rejected_submission, submission, impersonal_answer): response = client.get(submission.event.api_urls.speakers, follow=True) content = json.loads(response.content.decode()) assert response.status_code == 200 assert content['count'] == 1 assert content['results'][0]['name'] == accepted_submission.speakers.first().name assert set(content['results'][0].keys()) == {'name', 'code', 'biography', 'submissions'} @pytest.mark.django_db def test_can_only_see_public_speakerss_if_public_schedule(client, slot, accepted_submission, rejected_submission, submission): submission.event.settings.set('show_schedule', False) response = client.get(submission.event.api_urls.speakers, follow=True) content = json.loads(response.content.decode()) assert response.status_code == 200 assert content['count'] == 0 @pytest.mark.django_db def test_orga_can_see_all_speakers(orga_client, slot, accepted_submission, rejected_submission, submission, impersonal_answer): response = orga_client.get(submission.event.api_urls.speakers, follow=True) content = json.loads(response.content.decode()) assert response.status_code == 200 assert content['count'] == 2 assert set(content['results'][0].keys()) == {'name', 'code', 'biography', 'submissions', 'answers'} assert set(content['results'][0]['answers'][0].keys()) == {'answer', 'answer_file', 'person', 'question', 'submission', 'options', 'id'} @pytest.mark.django_db def test_orga_can_see_all_speakers_even_nonpublic(orga_client, slot, accepted_submission, rejected_submission, submission): submission.event.settings.set('show_schedule', False) response = orga_client.get(submission.event.api_urls.speakers, follow=True) content = json.loads(response.content.decode()) assert response.status_code == 200 assert content['count'] == 2

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0.068162

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0.072928

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0.90955

0.908919

0.88824

0

0.013142

0.124316

8,776

224

141

39.178571

0.811191

0

0.726708

0

0.052074

0

0.391304

1

0.130435

false

0

0.012422

0

0.142857

0

null

0

1

0

1

0

null

0

7

fffec4f2dd4cc539f5f5916d5a5900c819d7e211

22,690

py

Python

restraintlib/lib/ribose_purine_terminal_C3.py

mkowiel/restraintlib

32de01d67ae290a45f3199e90c729acc258a6249

[ "BSD-3-Clause" ]

null

restraintlib/lib/ribose_purine_terminal_C3.py

mkowiel/restraintlib

32de01d67ae290a45f3199e90c729acc258a6249

[ "BSD-3-Clause" ]

1

2021-11-11T18:45:10.000Z

restraintlib/lib/ribose_purine_terminal_C3.py

mkowiel/restraintlib

32de01d67ae290a45f3199e90c729acc258a6249

[ "BSD-3-Clause" ]

null

RIBOSE_PURINE_TERMINAL_C3_PDB_CODES = ['A', 'G', 'IG'] RIBOSE_PURINE_TERMINAL_C3_ALL_PDB_CODES = RIBOSE_PURINE_TERMINAL_C3_PDB_CODES RIBOSE_PURINE_TERMINAL_C3_CHI_GAMMA_PDB_CODES = RIBOSE_PURINE_TERMINAL_C3_PDB_CODES RIBOSE_PURINE_TERMINAL_C3_CHI_PDB_CODES = RIBOSE_PURINE_TERMINAL_C3_PDB_CODES RIBOSE_PURINE_TERMINAL_C3_BASE_FUNC_OF_TORSION_CHI_PDB_CODES = RIBOSE_PURINE_TERMINAL_C3_PDB_CODES RIBOSE_PURINE_TERMINAL_C3_CONFORMATION_PDB_CODES = RIBOSE_PURINE_TERMINAL_C3_PDB_CODES RIBOSE_PURINE_TERMINAL_C3_SUGAR_PDB_CODES = RIBOSE_PURINE_TERMINAL_C3_PDB_CODES RIBOSE_PURINE_TERMINAL_C3_SUGAR_CONFORMATION_PDB_CODES = RIBOSE_PURINE_TERMINAL_C3_PDB_CODES RIBOSE_PURINE_TERMINAL_C3_CHI_CONFORMATION_PDB_CODES = RIBOSE_PURINE_TERMINAL_C3_PDB_CODES RIBOSE_PURINE_TERMINAL_C3_SUGAR_CONFORMATION_FUNC_OF_TAU_MAX_PDB_CODES = RIBOSE_PURINE_TERMINAL_C3_PDB_CODES RIBOSE_PURINE_TERMINAL_C3_GAMMA_PDB_CODES = RIBOSE_PURINE_TERMINAL_C3_PDB_CODES RIBOSE_PURINE_TERMINAL_C3_ALL_FUNC_OF_TORSION_CHI_PDB_CODES = RIBOSE_PURINE_TERMINAL_C3_PDB_CODES RIBOSE_PURINE_TERMINAL_C3_ATOM_NAMES = { "C1'": "C1'", "C1*": "C1'", "C2'": "C2'", "C2*": "C2'", "C3'": "C3'", "C3*": "C3'", "C4": "C4", "C4'": "C4'", "C4*": "C4'", "C5'": "C5'", "C5*": "C5'", "C8": "C8", "N9": "N9", "O2'": "O2'", "O2*": "O2'", "O3'": "O3'", "O3*": "O3'", "O4'": "O4'", "O4*": "O4'", "O5'": "O5'", "O5*": "O5'", "P": "P" } RIBOSE_PURINE_TERMINAL_C3_ALL_ATOM_NAMES = RIBOSE_PURINE_TERMINAL_C3_ATOM_NAMES RIBOSE_PURINE_TERMINAL_C3_CHI_GAMMA_ATOM_NAMES = RIBOSE_PURINE_TERMINAL_C3_ATOM_NAMES RIBOSE_PURINE_TERMINAL_C3_CHI_ATOM_NAMES = RIBOSE_PURINE_TERMINAL_C3_ATOM_NAMES RIBOSE_PURINE_TERMINAL_C3_BASE_FUNC_OF_TORSION_CHI_ATOM_NAMES = RIBOSE_PURINE_TERMINAL_C3_ATOM_NAMES RIBOSE_PURINE_TERMINAL_C3_CONFORMATION_ATOM_NAMES = RIBOSE_PURINE_TERMINAL_C3_ATOM_NAMES RIBOSE_PURINE_TERMINAL_C3_SUGAR_ATOM_NAMES = RIBOSE_PURINE_TERMINAL_C3_ATOM_NAMES RIBOSE_PURINE_TERMINAL_C3_SUGAR_CONFORMATION_ATOM_NAMES = RIBOSE_PURINE_TERMINAL_C3_ATOM_NAMES RIBOSE_PURINE_TERMINAL_C3_CHI_CONFORMATION_ATOM_NAMES = RIBOSE_PURINE_TERMINAL_C3_ATOM_NAMES RIBOSE_PURINE_TERMINAL_C3_SUGAR_CONFORMATION_FUNC_OF_TAU_MAX_ATOM_NAMES = RIBOSE_PURINE_TERMINAL_C3_ATOM_NAMES RIBOSE_PURINE_TERMINAL_C3_GAMMA_ATOM_NAMES = RIBOSE_PURINE_TERMINAL_C3_ATOM_NAMES RIBOSE_PURINE_TERMINAL_C3_ALL_FUNC_OF_TORSION_CHI_ATOM_NAMES = RIBOSE_PURINE_TERMINAL_C3_ATOM_NAMES RIBOSE_PURINE_TERMINAL_C3_ATOM_RES = { "C1'": 0, "C2'": 0, "C3'": 0, "C4": 0, "C4'": 0, "C5'": 0, "C8": 0, "N9": 0, "O2'": 0, "O3'": 0, "O4'": 0, "O5'": 0 } RIBOSE_PURINE_TERMINAL_C3_ALL_ATOM_RES = RIBOSE_PURINE_TERMINAL_C3_ATOM_RES RIBOSE_PURINE_TERMINAL_C3_CHI_GAMMA_ATOM_RES = RIBOSE_PURINE_TERMINAL_C3_ATOM_RES RIBOSE_PURINE_TERMINAL_C3_CHI_ATOM_RES = RIBOSE_PURINE_TERMINAL_C3_ATOM_RES RIBOSE_PURINE_TERMINAL_C3_BASE_FUNC_OF_TORSION_CHI_ATOM_RES = RIBOSE_PURINE_TERMINAL_C3_ATOM_RES RIBOSE_PURINE_TERMINAL_C3_CONFORMATION_ATOM_RES = RIBOSE_PURINE_TERMINAL_C3_ATOM_RES RIBOSE_PURINE_TERMINAL_C3_SUGAR_ATOM_RES = RIBOSE_PURINE_TERMINAL_C3_ATOM_RES RIBOSE_PURINE_TERMINAL_C3_SUGAR_CONFORMATION_ATOM_RES = RIBOSE_PURINE_TERMINAL_C3_ATOM_RES RIBOSE_PURINE_TERMINAL_C3_CHI_CONFORMATION_ATOM_RES = RIBOSE_PURINE_TERMINAL_C3_ATOM_RES RIBOSE_PURINE_TERMINAL_C3_SUGAR_CONFORMATION_FUNC_OF_TAU_MAX_ATOM_RES = RIBOSE_PURINE_TERMINAL_C3_ATOM_RES RIBOSE_PURINE_TERMINAL_C3_GAMMA_ATOM_RES = RIBOSE_PURINE_TERMINAL_C3_ATOM_RES RIBOSE_PURINE_TERMINAL_C3_ALL_FUNC_OF_TORSION_CHI_ATOM_RES = RIBOSE_PURINE_TERMINAL_C3_ATOM_RES RIBOSE_PURINE_TERMINAL_C3_REQUIRED_CONDITION = [ ("C1'", "C2'", 2.0, 0, 0), ("C2'", "C3'", 2.0, 0, 0), ("C3'", "C4'", 2.0, 0, 0), ("C4'", "O4'", 2.0, 0, 0), ("C1'", "O4'", 2.0, 0, 0), ("C3'", "O3'", 2.0, 0, 0), ("C4'", "C5'", 2.0, 0, 0), ("C5'", "O5'", 2.0, 0, 0), ("C2'", "O2'", 2.0, 0, 0), ("C1'", 'N9', 2.0, 0, 0), ("O5'", 'P', 2.5, 0, 0) ] RIBOSE_PURINE_TERMINAL_C3_ALL_REQUIRED_CONDITION = RIBOSE_PURINE_TERMINAL_C3_REQUIRED_CONDITION RIBOSE_PURINE_TERMINAL_C3_CHI_GAMMA_REQUIRED_CONDITION = RIBOSE_PURINE_TERMINAL_C3_REQUIRED_CONDITION RIBOSE_PURINE_TERMINAL_C3_CHI_REQUIRED_CONDITION = RIBOSE_PURINE_TERMINAL_C3_REQUIRED_CONDITION RIBOSE_PURINE_TERMINAL_C3_BASE_FUNC_OF_TORSION_CHI_REQUIRED_CONDITION = RIBOSE_PURINE_TERMINAL_C3_REQUIRED_CONDITION RIBOSE_PURINE_TERMINAL_C3_CONFORMATION_REQUIRED_CONDITION = RIBOSE_PURINE_TERMINAL_C3_REQUIRED_CONDITION RIBOSE_PURINE_TERMINAL_C3_SUGAR_REQUIRED_CONDITION = RIBOSE_PURINE_TERMINAL_C3_REQUIRED_CONDITION RIBOSE_PURINE_TERMINAL_C3_SUGAR_CONFORMATION_REQUIRED_CONDITION = RIBOSE_PURINE_TERMINAL_C3_REQUIRED_CONDITION RIBOSE_PURINE_TERMINAL_C3_CHI_CONFORMATION_REQUIRED_CONDITION = RIBOSE_PURINE_TERMINAL_C3_REQUIRED_CONDITION RIBOSE_PURINE_TERMINAL_C3_SUGAR_CONFORMATION_FUNC_OF_TAU_MAX_REQUIRED_CONDITION = RIBOSE_PURINE_TERMINAL_C3_REQUIRED_CONDITION RIBOSE_PURINE_TERMINAL_C3_GAMMA_REQUIRED_CONDITION = RIBOSE_PURINE_TERMINAL_C3_REQUIRED_CONDITION RIBOSE_PURINE_TERMINAL_C3_ALL_FUNC_OF_TORSION_CHI_REQUIRED_CONDITION = RIBOSE_PURINE_TERMINAL_C3_REQUIRED_CONDITION RIBOSE_PURINE_TERMINAL_C3_DISALLOWED_CONDITION = [ ("O3'", 'P', 2.5, 0, 1) ] RIBOSE_PURINE_TERMINAL_C3_ALL_DISALLOWED_CONDITION = RIBOSE_PURINE_TERMINAL_C3_DISALLOWED_CONDITION RIBOSE_PURINE_TERMINAL_C3_CHI_GAMMA_DISALLOWED_CONDITION = RIBOSE_PURINE_TERMINAL_C3_DISALLOWED_CONDITION RIBOSE_PURINE_TERMINAL_C3_CHI_DISALLOWED_CONDITION = RIBOSE_PURINE_TERMINAL_C3_DISALLOWED_CONDITION RIBOSE_PURINE_TERMINAL_C3_BASE_FUNC_OF_TORSION_CHI_DISALLOWED_CONDITION = RIBOSE_PURINE_TERMINAL_C3_DISALLOWED_CONDITION RIBOSE_PURINE_TERMINAL_C3_CONFORMATION_DISALLOWED_CONDITION = RIBOSE_PURINE_TERMINAL_C3_DISALLOWED_CONDITION RIBOSE_PURINE_TERMINAL_C3_SUGAR_DISALLOWED_CONDITION = RIBOSE_PURINE_TERMINAL_C3_DISALLOWED_CONDITION RIBOSE_PURINE_TERMINAL_C3_SUGAR_CONFORMATION_DISALLOWED_CONDITION = RIBOSE_PURINE_TERMINAL_C3_DISALLOWED_CONDITION RIBOSE_PURINE_TERMINAL_C3_CHI_CONFORMATION_DISALLOWED_CONDITION = RIBOSE_PURINE_TERMINAL_C3_DISALLOWED_CONDITION RIBOSE_PURINE_TERMINAL_C3_SUGAR_CONFORMATION_FUNC_OF_TAU_MAX_DISALLOWED_CONDITION = RIBOSE_PURINE_TERMINAL_C3_DISALLOWED_CONDITION RIBOSE_PURINE_TERMINAL_C3_GAMMA_DISALLOWED_CONDITION = RIBOSE_PURINE_TERMINAL_C3_DISALLOWED_CONDITION RIBOSE_PURINE_TERMINAL_C3_ALL_FUNC_OF_TORSION_CHI_DISALLOWED_CONDITION = RIBOSE_PURINE_TERMINAL_C3_DISALLOWED_CONDITION RIBOSE_PURINE_TERMINAL_C3_DISTANCE_MEASURE = { 'measure': 'euclidean_angles', 'restraint_names': ["aC4'C5'O5'", "aC4'C3'O3'", "aN9C1'C2'", "aC1'N9C4", "aC1'N9C8", "aN9C1'O4'", "aC2'C1'O4'", "aC2'C3'O3'", "aC1'C2'O2'", "aC3'C2'O2'", "aC1'C2'C3'", "aC2'C3'C4'", "aC3'C4'O4'", "aC1'O4'C4'", "aC3'C4'C5'", "aC5'C4'O4'"] } RIBOSE_PURINE_TERMINAL_C3_ALL_DISTANCE_MEASURE = RIBOSE_PURINE_TERMINAL_C3_DISTANCE_MEASURE RIBOSE_PURINE_TERMINAL_C3_CHI_GAMMA_DISTANCE_MEASURE = RIBOSE_PURINE_TERMINAL_C3_DISTANCE_MEASURE RIBOSE_PURINE_TERMINAL_C3_CHI_DISTANCE_MEASURE = RIBOSE_PURINE_TERMINAL_C3_DISTANCE_MEASURE RIBOSE_PURINE_TERMINAL_C3_BASE_FUNC_OF_TORSION_CHI_DISTANCE_MEASURE = RIBOSE_PURINE_TERMINAL_C3_DISTANCE_MEASURE RIBOSE_PURINE_TERMINAL_C3_CONFORMATION_DISTANCE_MEASURE = RIBOSE_PURINE_TERMINAL_C3_DISTANCE_MEASURE RIBOSE_PURINE_TERMINAL_C3_SUGAR_DISTANCE_MEASURE = RIBOSE_PURINE_TERMINAL_C3_DISTANCE_MEASURE RIBOSE_PURINE_TERMINAL_C3_SUGAR_CONFORMATION_DISTANCE_MEASURE = RIBOSE_PURINE_TERMINAL_C3_DISTANCE_MEASURE RIBOSE_PURINE_TERMINAL_C3_CHI_CONFORMATION_DISTANCE_MEASURE = RIBOSE_PURINE_TERMINAL_C3_DISTANCE_MEASURE RIBOSE_PURINE_TERMINAL_C3_SUGAR_CONFORMATION_FUNC_OF_TAU_MAX_DISTANCE_MEASURE = RIBOSE_PURINE_TERMINAL_C3_DISTANCE_MEASURE RIBOSE_PURINE_TERMINAL_C3_GAMMA_DISTANCE_MEASURE = RIBOSE_PURINE_TERMINAL_C3_DISTANCE_MEASURE RIBOSE_PURINE_TERMINAL_C3_ALL_FUNC_OF_TORSION_CHI_DISTANCE_MEASURE = RIBOSE_PURINE_TERMINAL_C3_DISTANCE_MEASURE RIBOSE_PURINE_TERMINAL_C3_CONDITION_DISTANCE_MEASURE = { 'measure': 'euclidean_angles', 'restraint_names': ["tO4'C1'N9C4", "tC3'C4'C5'O5'", "pC1'C2'C3'C4'O4'"] } RIBOSE_PURINE_TERMINAL_C3_ALL_CONDITION_DISTANCE_MEASURE = RIBOSE_PURINE_TERMINAL_C3_CONDITION_DISTANCE_MEASURE RIBOSE_PURINE_TERMINAL_C3_CHI_GAMMA_CONDITION_DISTANCE_MEASURE = RIBOSE_PURINE_TERMINAL_C3_CONDITION_DISTANCE_MEASURE RIBOSE_PURINE_TERMINAL_C3_CHI_CONDITION_DISTANCE_MEASURE = RIBOSE_PURINE_TERMINAL_C3_CONDITION_DISTANCE_MEASURE RIBOSE_PURINE_TERMINAL_C3_BASE_FUNC_OF_TORSION_CHI_CONDITION_DISTANCE_MEASURE = RIBOSE_PURINE_TERMINAL_C3_CONDITION_DISTANCE_MEASURE RIBOSE_PURINE_TERMINAL_C3_CONFORMATION_CONDITION_DISTANCE_MEASURE = RIBOSE_PURINE_TERMINAL_C3_CONDITION_DISTANCE_MEASURE RIBOSE_PURINE_TERMINAL_C3_SUGAR_CONDITION_DISTANCE_MEASURE = RIBOSE_PURINE_TERMINAL_C3_CONDITION_DISTANCE_MEASURE RIBOSE_PURINE_TERMINAL_C3_SUGAR_CONFORMATION_CONDITION_DISTANCE_MEASURE = RIBOSE_PURINE_TERMINAL_C3_CONDITION_DISTANCE_MEASURE RIBOSE_PURINE_TERMINAL_C3_CHI_CONFORMATION_CONDITION_DISTANCE_MEASURE = RIBOSE_PURINE_TERMINAL_C3_CONDITION_DISTANCE_MEASURE RIBOSE_PURINE_TERMINAL_C3_SUGAR_CONFORMATION_FUNC_OF_TAU_MAX_CONDITION_DISTANCE_MEASURE = RIBOSE_PURINE_TERMINAL_C3_CONDITION_DISTANCE_MEASURE RIBOSE_PURINE_TERMINAL_C3_GAMMA_CONDITION_DISTANCE_MEASURE = RIBOSE_PURINE_TERMINAL_C3_CONDITION_DISTANCE_MEASURE RIBOSE_PURINE_TERMINAL_C3_ALL_FUNC_OF_TORSION_CHI_CONDITION_DISTANCE_MEASURE = RIBOSE_PURINE_TERMINAL_C3_CONDITION_DISTANCE_MEASURE RIBOSE_PURINE_TERMINAL_C3_ALL_RESTRAINTS = [{ 'conditions': [], 'name': 'ribose_purine_terminal_C3==All=All', 'restraints': [['dist', "dC1'C2'", ["C1'", "C2'"], 1.525, 0.012], ['dist', "dC2'C3'", ["C2'", "C3'"], 1.523, 0.011]] } ] RIBOSE_PURINE_TERMINAL_C3_CHI_GAMMA_RESTRAINTS = [ { 'conditions': [['torsion', "tO4'C1'N9C4", ["O4'", "C1'", 'N9', 'C4'], 180, 22.5], ['torsion', "tC3'C4'C5'O5'", ["C3'", "C4'", "C5'", "O5'"], 60, 8.75]], 'name': 'ribose_purine_terminal_C3==Chi=anti__Gamma=gauche+', 'restraints': [['angle', "aC4'C5'O5'", ["C4'", "C5'", "O5'"], 110.6, 1.9]] }, { 'conditions': [['torsion', "tO4'C1'N9C4", ["O4'", "C1'", 'N9', 'C4'], 180, 22.5], ['torsion', "tC3'C4'C5'O5'", ["C3'", "C4'", "C5'", "O5'"], -60, 8.75]], 'name': 'ribose_purine_terminal_C3==Chi=anti__Gamma=gauche-', 'restraints': [['angle', "aC4'C5'O5'", ["C4'", "C5'", "O5'"], 109.6, 1.8]] }, { 'conditions': [['torsion', "tO4'C1'N9C4", ["O4'", "C1'", 'N9', 'C4'], 180, 22.5], ['torsion', "tC3'C4'C5'O5'", ["C3'", "C4'", "C5'", "O5'"], 180, 21.25]], 'name': 'ribose_purine_terminal_C3==Chi=anti__Gamma=trans', 'restraints': [['angle', "aC4'C5'O5'", ["C4'", "C5'", "O5'"], 110.2, 1.9]] }, { 'conditions': [['torsion', "tO4'C1'N9C4", ["O4'", "C1'", 'N9', 'C4'], 0, 22.5], ['torsion', "tC3'C4'C5'O5'", ["C3'", "C4'", "C5'", "O5'"], 60, 8.75]], 'name': 'ribose_purine_terminal_C3==Chi=syn__Gamma=gauche+', 'restraints': [['angle', "aC4'C5'O5'", ["C4'", "C5'", "O5'"], 112.5, 1.9]] }, { 'conditions': [['torsion', "tO4'C1'N9C4", ["O4'", "C1'", 'N9', 'C4'], 0, 22.5], ['torsion', "tC3'C4'C5'O5'", ["C3'", "C4'", "C5'", "O5'"], -60, 8.75]], 'name': 'ribose_purine_terminal_C3==Chi=syn__Gamma=gauche-', 'restraints': [['angle', "aC4'C5'O5'", ["C4'", "C5'", "O5'"], 111.0, 0.9]] }, { 'conditions': [['torsion', "tO4'C1'N9C4", ["O4'", "C1'", 'N9', 'C4'], 0, 22.5], ['torsion', "tC3'C4'C5'O5'", ["C3'", "C4'", "C5'", "O5'"], 180, 21.25]], 'name': 'ribose_purine_terminal_C3==Chi=syn__Gamma=trans', 'restraints': [['angle', "aC4'C5'O5'", ["C4'", "C5'", "O5'"], 110.5, 2.3]] } ] RIBOSE_PURINE_TERMINAL_C3_CHI_RESTRAINTS = [ { 'conditions': [['torsion', "tO4'C1'N9C4", ["O4'", "C1'", 'N9', 'C4'], 180, 22.5]], 'name': 'ribose_purine_terminal_C3==Chi=anti', 'restraints': [['angle', "aC4'C3'O3'", ["C4'", "C3'", "O3'"], 110.9, 2.4]] }, { 'conditions': [['torsion', "tO4'C1'N9C4", ["O4'", "C1'", 'N9', 'C4'], 0, 22.5]], 'name': 'ribose_purine_terminal_C3==Chi=syn', 'restraints': [['angle', "aC4'C3'O3'", ["C4'", "C3'", "O3'"], 109.7, 2.1]] } ] RIBOSE_PURINE_TERMINAL_C3_BASE_FUNC_OF_TORSION_CHI_RESTRAINTS = [ { 'conditions': [], 'name': 'ribose_purine_terminal_C3==Base=purine', 'restraints': [ ['angle', "aN9C1'C2'", ['N9', "C1'", "C2'"], None, None, None, None, "purine-N1-C1'-C2' or N9-C1'-C2'.pickle", ['torsion_chi', ["O4'", "C1'", 'N9', 'C4']]], ['angle', "aC1'N9C4", ["C1'", 'N9', 'C4'], None, None, None, None, "purine-C1'-N1-C2 or C1'-N9-C4.pickle", ['torsion_chi', ["O4'", "C1'", 'N9', 'C4']]], ['angle', "aC1'N9C8", ["C1'", 'N9', 'C8'], None, None, None, None, "purine-C1'-N1-C6 or C1'-N9-C8.pickle", ['torsion_chi', ["O4'", "C1'", 'N9', 'C4']]], ['angle', "aN9C1'O4'", ['N9', "C1'", "O4'"], None, None, None, None, "purine-N1-C1'-O4' or N9-C1'-O4'.pickle", ['torsion_chi', ["O4'", "C1'", 'N9', 'C4']]]] } ] RIBOSE_PURINE_TERMINAL_C3_CONFORMATION_RESTRAINTS = [ { 'conditions': [['pseudorotation', "pC1'C2'C3'C4'O4'", ["C1'", "C2'", "C3'", "C4'", "O4'"], 162, 4.5]], 'name': "ribose_purine_terminal_C3==Conformation=C2'-endo", 'restraints': [['dist', "dC3'C4'", ["C3'", "C4'"], 1.527, 0.01], ['dist', "dC2'O2'", ["C2'", "O2'"], 1.41, 0.009], ['angle', "aC2'C1'O4'", ["C2'", "C1'", "O4'"], 106.0, 0.8]] }, { 'conditions': [['pseudorotation', "pC1'C2'C3'C4'O4'", ["C1'", "C2'", "C3'", "C4'", "O4'"], 18, 4.5]], 'name': "ribose_purine_terminal_C3==Conformation=C3'-endo", 'restraints': [['dist', "dC3'C4'", ["C3'", "C4'"], 1.52, 0.009], ['dist', "dC2'O2'", ["C2'", "O2'"], 1.416, 0.008], ['angle', "aC2'C1'O4'", ["C2'", "C1'", "O4'"], 107.3, 0.6]] }, { 'conditions': [], 'name': 'ribose_purine_terminal_C3==Conformation=Other', 'restraints': [['dist', "dC3'C4'", ["C3'", "C4'"], 1.531, 0.009], ['dist', "dC2'O2'", ["C2'", "O2'"], 1.413, 0.008], ['angle', "aC2'C1'O4'", ["C2'", "C1'", "O4'"], 106.2, 1.3]] } ] RIBOSE_PURINE_TERMINAL_C3_SUGAR_RESTRAINTS = [{ 'conditions': [], 'name': 'ribose_purine_terminal_C3==Sugar=ribose', 'restraints': [['dist', "dC4'O4'", ["C4'", "O4'"], 1.45, 0.009]] } ] RIBOSE_PURINE_TERMINAL_C3_SUGAR_CONFORMATION_RESTRAINTS = [ { 'conditions': [['pseudorotation', "pC1'C2'C3'C4'O4'", ["C1'", "C2'", "C3'", "C4'", "O4'"], 162, 4.5]], 'name': "ribose_purine_terminal_C3==Sugar=ribose__Conformation=C2'-endo", 'restraints': [['dist', "dC3'O3'", ["C3'", "O3'"], 1.422, 0.008]] }, { 'conditions': [['pseudorotation', "pC1'C2'C3'C4'O4'", ["C1'", "C2'", "C3'", "C4'", "O4'"], 18, 4.5]], 'name': "ribose_purine_terminal_C3==Sugar=ribose__Conformation=C3'-endo", 'restraints': [['dist', "dC3'O3'", ["C3'", "O3'"], 1.413, 0.008]] }, { 'conditions': [], 'name': 'ribose_purine_terminal_C3==Sugar=ribose__Conformation=Other', 'restraints': [['dist', "dC3'O3'", ["C3'", "O3'"], 1.418, 0.007]] } ] RIBOSE_PURINE_TERMINAL_C3_CHI_CONFORMATION_RESTRAINTS = [ { 'conditions': [['torsion', "tO4'C1'N9C4", ["O4'", "C1'", 'N9', 'C4'], 180, 22.5], ['pseudorotation', "pC1'C2'C3'C4'O4'", ["C1'", "C2'", "C3'", "C4'", "O4'"], 162, 4.5]], 'name': "ribose_purine_terminal_C3==Chi=anti__Conformation=C2'-endo", 'restraints': [ ['angle', "aC2'C3'O3'", ["C2'", "C3'", "O3'"], 109.7, 2.4], ['angle', "aC1'C2'O2'", ["C1'", "C2'", "O2'"], 112.0, 2.1], ['angle', "aC3'C2'O2'", ["C3'", "C2'", "O2'"], 113.6, 2.5]] }, { 'conditions': [['torsion', "tO4'C1'N9C4", ["O4'", "C1'", 'N9', 'C4'], 180, 22.5], ['pseudorotation', "pC1'C2'C3'C4'O4'", ["C1'", "C2'", "C3'", "C4'", "O4'"], 18, 4.5]], 'name': "ribose_purine_terminal_C3==Chi=anti__Conformation=C3'-endo", 'restraints': [ ['angle', "aC2'C3'O3'", ["C2'", "C3'", "O3'"], 113.6, 1.9], ['angle', "aC1'C2'O2'", ["C1'", "C2'", "O2'"], 108.7, 2.3], ['angle', "aC3'C2'O2'", ["C3'", "C2'", "O2'"], 110.4, 2.1]] }, { 'conditions': [['torsion', "tO4'C1'N9C4", ["O4'", "C1'", 'N9', 'C4'], 180, 22.5]], 'name': 'ribose_purine_terminal_C3==Chi=anti__Conformation=Other', 'restraints': [ ['angle', "aC2'C3'O3'", ["C2'", "C3'", "O3'"], 112.7, 2.3], ['angle', "aC1'C2'O2'", ["C1'", "C2'", "O2'"], 112.9, 1.4], ['angle', "aC3'C2'O2'", ["C3'", "C2'", "O2'"], 113.3, 0.9]] }, { 'conditions': [['torsion', "tO4'C1'N9C4", ["O4'", "C1'", 'N9', 'C4'], 0, 22.5], ['pseudorotation', "pC1'C2'C3'C4'O4'", ["C1'", "C2'", "C3'", "C4'", "O4'"], 162, 4.5]], 'name': "ribose_purine_terminal_C3==Chi=syn__Conformation=C2'-endo", 'restraints': [ ['angle', "aC2'C3'O3'", ["C2'", "C3'", "O3'"], 110.3, 2.1], ['angle', "aC1'C2'O2'", ["C1'", "C2'", "O2'"], 112.5, 2.1], ['angle', "aC3'C2'O2'", ["C3'", "C2'", "O2'"], 114.1, 1.9]] }, { 'conditions': [['torsion', "tO4'C1'N9C4", ["O4'", "C1'", 'N9', 'C4'], 0, 22.5], ['pseudorotation', "pC1'C2'C3'C4'O4'", ["C1'", "C2'", "C3'", "C4'", "O4'"], 18, 4.5]], 'name': "ribose_purine_terminal_C3==Chi=syn__Conformation=C3'-endo", 'restraints': [ ['angle', "aC2'C3'O3'", ["C2'", "C3'", "O3'"], 114.0, 0.8], ['angle', "aC1'C2'O2'", ["C1'", "C2'", "O2'"], 109.9, 2.7], ['angle', "aC3'C2'O2'", ["C3'", "C2'", "O2'"], 110.0, 2.0]] }, { 'conditions': [['torsion', "tO4'C1'N9C4", ["O4'", "C1'", 'N9', 'C4'], 0, 22.5]], 'name': 'ribose_purine_terminal_C3==Chi=syn__Conformation=Other', 'restraints': [ ['angle', "aC2'C3'O3'", ["C2'", "C3'", "O3'"], 112.6, 1.8], ['angle', "aC1'C2'O2'", ["C1'", "C2'", "O2'"], 107.7, 1.6], ['angle', "aC3'C2'O2'", ["C3'", "C2'", "O2'"], 111.9, 1.1]] } ] RIBOSE_PURINE_TERMINAL_C3_SUGAR_CONFORMATION_FUNC_OF_TAU_MAX_RESTRAINTS = [ { 'conditions': [['pseudorotation', "pC1'C2'C3'C4'O4'", ["C1'", "C2'", "C3'", "C4'", "O4'"], 162, 4.5]], 'name': "ribose_purine_terminal_C3==Sugar=ribose__Conformation=C2'-endo", 'restraints': [ ['angle', "aC1'C2'C3'", ["C1'", "C2'", "C3'"], None, None, None, None, "ribose-C2'-endo-C1'-C2'-C3'.pickle", ['tau_max', ["C1'", "C2'", "C3'", "C4'", "O4'"]]], ['angle', "aC2'C3'C4'", ["C2'", "C3'", "C4'"], None, None, None, None, "ribose-C2'-endo-C2'-C3'-C4'.pickle", ['tau_max', ["C1'", "C2'", "C3'", "C4'", "O4'"]]], ['angle', "aC3'C4'O4'", ["C3'", "C4'", "O4'"], None, None, None, None, "ribose-C2'-endo-C3'-C4'-O4'.pickle", ['tau_max', ["C1'", "C2'", "C3'", "C4'", "O4'"]]], ['angle', "aC1'O4'C4'", ["C1'", "O4'", "C4'"], None, None, None, None, "ribose-C2'-endo-C1'-O4'-C4'.pickle", ['tau_max', ["C1'", "C2'", "C3'", "C4'", "O4'"]]]] }, { 'conditions': [['pseudorotation', "pC1'C2'C3'C4'O4'", ["C1'", "C2'", "C3'", "C4'", "O4'"], 18, 4.5]], 'name': "ribose_purine_terminal_C3==Sugar=ribose__Conformation=C3'-endo", 'restraints': [ ['angle', "aC1'C2'C3'", ["C1'", "C2'", "C3'"], None, None, None, None, "ribose-C3'-endo-C1'-C2'-C3'.pickle", ['tau_max', ["C1'", "C2'", "C3'", "C4'", "O4'"]]], ['angle', "aC2'C3'C4'", ["C2'", "C3'", "C4'"], None, None, None, None, "ribose-C3'-endo-C2'-C3'-C4'.pickle", ['tau_max', ["C1'", "C2'", "C3'", "C4'", "O4'"]]], ['angle', "aC3'C4'O4'", ["C3'", "C4'", "O4'"], None, None, None, None, "ribose-C3'-endo-C3'-C4'-O4'.pickle", ['tau_max', ["C1'", "C2'", "C3'", "C4'", "O4'"]]], ['angle', "aC1'O4'C4'", ["C1'", "O4'", "C4'"], None, None, None, None, "ribose-C3'-endo-C1'-O4'-C4'.pickle", ['tau_max', ["C1'", "C2'", "C3'", "C4'", "O4'"]]]] }, { 'conditions': [], 'name': 'ribose_purine_terminal_C3==Sugar=ribose__Conformation=Other', 'restraints': [ ['angle', "aC1'C2'C3'", ["C1'", "C2'", "C3'"], None, None, None, None, "ribose-Other-C1'-C2'-C3'.pickle", ['tau_max', ["C1'", "C2'", "C3'", "C4'", "O4'"]]], ['angle', "aC2'C3'C4'", ["C2'", "C3'", "C4'"], None, None, None, None, "ribose-Other-C2'-C3'-C4'.pickle", ['tau_max', ["C1'", "C2'", "C3'", "C4'", "O4'"]]], ['angle', "aC3'C4'O4'", ["C3'", "C4'", "O4'"], None, None, None, None, "ribose-Other-C3'-C4'-O4'.pickle", ['tau_max', ["C1'", "C2'", "C3'", "C4'", "O4'"]]], ['angle', "aC1'O4'C4'", ["C1'", "O4'", "C4'"], None, None, None, None, "ribose-Other-C1'-O4'-C4'.pickle", ['tau_max', ["C1'", "C2'", "C3'", "C4'", "O4'"]]]] } ] RIBOSE_PURINE_TERMINAL_C3_GAMMA_RESTRAINTS = [ { 'conditions': [['torsion', "tC3'C4'C5'O5'", ["C3'", "C4'", "C5'", "O5'"], 60, 8.75]], 'name': 'ribose_purine_terminal_C3==Gamma=gauche+', 'restraints': [['dist', "dC4'C5'", ["C4'", "C5'"], 1.508, 0.009], ['angle', "aC3'C4'C5'", ["C3'", "C4'", "C5'"], 115.7, 1.2], ['angle', "aC5'C4'O4'", ["C5'", "C4'", "O4'"], 109.4, 1.0]] }, { 'conditions': [['torsion', "tC3'C4'C5'O5'", ["C3'", "C4'", "C5'", "O5'"], -60, 8.75]], 'name': 'ribose_purine_terminal_C3==Gamma=gauche-', 'restraints': [['dist', "dC4'C5'", ["C4'", "C5'"], 1.518, 0.009], ['angle', "aC3'C4'C5'", ["C3'", "C4'", "C5'"], 114.5, 1.2], ['angle', "aC5'C4'O4'", ["C5'", "C4'", "O4'"], 107.8, 0.9]] }, { 'conditions': [['torsion', "tC3'C4'C5'O5'", ["C3'", "C4'", "C5'", "O5'"], 180, 21.25]], 'name': 'ribose_purine_terminal_C3==Gamma=trans', 'restraints': [['dist', "dC4'C5'", ["C4'", "C5'"], 1.509, 0.01], ['angle', "aC3'C4'C5'", ["C3'", "C4'", "C5'"], 113.8, 1.3], ['angle', "aC5'C4'O4'", ["C5'", "C4'", "O4'"], 109.9, 1.2]] } ] RIBOSE_PURINE_TERMINAL_C3_ALL_FUNC_OF_TORSION_CHI_RESTRAINTS = [ { 'conditions': [], 'name': 'ribose_purine_terminal_C3==All=All', 'restraints': [ ['dist', "dC1'N9", ["C1'", 'N9'], None, None, None, None, "All-C1'-N1 or C1'-N9.pickle", ['torsion_chi', ["O4'", "C1'", 'N9', 'C4']]], ['dist', "dC1'O4'", ["C1'", "O4'"], None, None, None, None, "All-C1'-O4'.pickle", ['torsion_chi', ["O4'", "C1'", 'N9', 'C4']]]] } ]

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f2480b8813ba440580b2e187e6809b3609f706a7

19,245

py

Python

wiki/tests.py

kalevhark/kroonika

a2d7a80666e742e62a3d2bcf72a597bf103ab9c7

[ "MIT" ]

1

2020-05-12T05:39:03.000Z

wiki/tests.py

kalevhark/kroonika

a2d7a80666e742e62a3d2bcf72a597bf103ab9c7

[ "MIT" ]

8

2019-12-25T21:32:49.000Z

2022-02-11T19:28:33.000Z

wiki/tests.py

kalevhark/kroonika

a2d7a80666e742e62a3d2bcf72a597bf103ab9c7

[ "MIT" ]

null

from datetime import datetime from functools import reduce from operator import or_ import urllib from django.test import TestCase from django.urls import reverse from wiki.models import Artikkel, Isik, Organisatsioon, Objekt class WikiViewTests(TestCase): def test_algus_view(self): time_start = datetime.now() response = self.client.get(reverse('algus')) time_stopp = datetime.now() - time_start self.assertEqual(response.status_code, 200) self.assertTrue(time_stopp.seconds < 3) def test_info_view(self): time_start = datetime.now() response = self.client.get(reverse('wiki:info')) time_stopp = datetime.now() - time_start self.assertEqual(response.status_code, 200) self.assertTrue(time_stopp.seconds < 3) def test_kaart_view(self): time_start = datetime.now() response = self.client.get(reverse('kaart')) time_stopp = datetime.now() - time_start self.assertEqual(response.status_code, 200) self.assertTrue(time_stopp.seconds < 3) # def test_j6ul2020_view(self): # response = self.client.get(reverse('special_j6ul2020')) # self.assertEqual(response.status_code, 200) # self.assertContains(response, "Head uut aastat!") # self.assertQuerysetEqual(response.context['latest_question_list'], []) # def test_login(self): # response = self.client.login(username='', password='') # self.assertEqual(response, True) # _ = self.client.logout() class WikiDateViewTests(TestCase): def test_all_view_1st_page(self): time_start = datetime.now() response = self.client.get( reverse( 'wiki:artikkel_index_archive' ) ) time_stopp = datetime.now() - time_start self.assertEqual(response.status_code, 200) self.assertTrue(time_stopp.seconds < 3) def test_all_view_other_page(self): time_start = datetime.now() response = self.client.get( '/wiki/kroonika/', {'page': '5'} ) time_stopp = datetime.now() - time_start self.assertEqual(response.status_code, 200) self.assertTrue(time_stopp.seconds < 3) def test_all_view_wrong_page(self): time_start = datetime.now() response = self.client.get( '/wiki/kroonika', {'page': '5000'} ) time_stopp = datetime.now() - time_start self.assertEqual(response.status_code, 301) self.assertTrue(time_stopp.seconds < 3) def test_year_view(self): time_start = datetime.now() response = self.client.get( reverse( 'wiki:artikkel_year_archive', kwargs={'year': 1920} ) ) time_stopp = datetime.now() - time_start self.assertEqual(response.status_code, 200) self.assertTrue(time_stopp.seconds < 3) def test_month_view(self): time_start = datetime.now() response = self.client.get( reverse( 'wiki:artikkel_month_archive', kwargs={'year': 1920, 'month': 2} ) ) time_stopp = datetime.now() - time_start self.assertEqual(response.status_code, 200) self.assertTrue(time_stopp.seconds < 3) def test_day_view(self): time_start = datetime.now() response = self.client.get( reverse( 'wiki:artikkel_day_archive', kwargs={'year': 1920, 'month': 2, 'day': 24} ) ) time_stopp = datetime.now() - time_start self.assertEqual(response.status_code, 200) self.assertTrue(time_stopp.seconds < 3) class ArtikkelViewTests(TestCase): def test_object_exists(self): self.assertTrue(Artikkel.objects.filter(kroonika__isnull=True).count() > 0) obj = Artikkel.objects.filter(kroonika__isnull=True).first() url = urllib.parse.unquote(obj.get_absolute_url()) self.assertEqual(url, f'/wiki/{obj.id}-{obj.slug}/') def test_artikkel_view_show_by_url(self): obj = Artikkel.objects.filter(kroonika__isnull=True).first() url = f'/wiki/{obj.id}-{obj.slug}/' response = self.client.get(url) self.assertEqual(response.status_code, 200) def test_artikkel_view_show_by_name_random(self): SELECT_COUNT = 10 # Juhuslikud artiklid kontrolliks objs = Artikkel.objects.filter(kroonika__isnull=True).order_by('?')[:SELECT_COUNT] for obj in objs: kwargs = { 'pk': obj.id, 'slug': obj.slug } response = self.client.get(reverse('wiki:wiki_artikkel_detail', kwargs=kwargs)) self.assertEqual(response.status_code, 200) def test_artikkel_HTTP404_for_non_authented_user(self): SELECT_COUNT = 10 # Juhuslikud artiklid kontrolliks objs = Artikkel.objects.filter(kroonika__isnull=False).order_by('?')[:SELECT_COUNT] # obj = Artikkel.objects.filter(kroonika__isnull=False).first() for obj in objs: url = f'/wiki/{obj.id}-{obj.slug}/' response = self.client.get(url) self.assertEqual(response.status_code, 404) def test_artikkel_HTTP404_for_wrong_dateformat(self): # Valel kujul kuupäevaotsingud urls = [ '/wiki/kroonika/922/', '/wiki/kroonika/11922/', '/wiki/kroonika/1922/13/', '/wiki/kroonika/1922/4/50/', '/wiki/kroonika/1933/2/29/' ] for url in urls: response = self.client.get(url) self.assertEqual(response.status_code, 404) class IsikViewTests(TestCase): def setUp(self): # Every test needs access to the request factory. self.test_object_id = 19 # Johannes Märtson # Anonymous user filter artikkel_qs = Artikkel.objects.filter(kroonika__isnull=True) self.initial_queryset = Isik.objects.all() artikliga = self.initial_queryset. \ filter(artikkel__in=artikkel_qs). \ values_list('id', flat=True) viitega = self.initial_queryset. \ filter(viited__isnull=False). \ values_list('id', flat=True) viiteta_artiklita = self.initial_queryset. \ filter(viited__isnull=True, artikkel__isnull=True). \ values_list('id', flat=True) self.model_ids = reduce(or_, [artikliga, viitega, viiteta_artiklita]) def test_object_exists(self): self.assertEqual(Isik.objects.filter(id=self.test_object_id).count(), 1) obj = Isik.objects.get(id=self.test_object_id) url = urllib.parse.unquote(obj.get_absolute_url()) self.assertEqual(url, f'/wiki/isik/{obj.id}-{obj.slug}/') def test_view_url_exists_at_desired_location(self): isik = Isik.objects.get(id=self.test_object_id) url = f'/wiki/isik/{isik.id}-{isik.slug}/' response = self.client.get(url) self.assertEqual(response.status_code, 200) url = '/wiki/isik/19-johannes-märtson/' response = self.client.get(url) self.assertEqual(response.status_code, 200) def test_view_url_response_time(self): time_start = datetime.now() isik = Isik.objects.get(id=self.test_object_id) url = f'/wiki/isik/{isik.id}-{isik.slug}/' _ = self.client.get(url) time_stopp = datetime.now() - time_start self.assertTrue(time_stopp.seconds < 5) def test_view_uses_correct_template(self): obj = Isik.objects.get(id=self.test_object_id) url = f'/wiki/isik/{obj.id}-{obj.slug}/' response = self.client.get(url) self.assertEqual(response.status_code, 200) self.assertTemplateUsed(response, 'wiki/isik_detail.html') def test_view_show_by_name(self): obj = Isik.objects.get(id=self.test_object_id) kwargs = { 'pk': obj.id, 'slug': obj.slug } response = self.client.get(reverse('wiki:wiki_isik_detail', kwargs=kwargs)) self.assertEqual(response.status_code, 200) def test_view_show_by_name_random(self): SELECT_COUNT = 10 # Juhuslikud isikud kontrolliks objs = self.initial_queryset.filter(id__in=self.model_ids).order_by('?')[:SELECT_COUNT] for obj in objs: kwargs = { 'pk': obj.id, 'slug': obj.slug } response = self.client.get(reverse('wiki:wiki_isik_detail', kwargs=kwargs)) self.assertEqual(response.status_code, 200) def test_view_HTTP404_for_non_authented_user(self): SELECT_COUNT = 10 # Juhuslikud isikud kontrolliks objs = self.initial_queryset.exclude(id__in=self.model_ids).order_by('?')[:SELECT_COUNT] for obj in objs: kwargs = { 'pk': obj.id, 'slug': obj.slug } response = self.client.get(reverse('wiki:wiki_isik_detail', kwargs=kwargs)) self.assertEqual(response.status_code, 404) def test_view_HTTP404_for_wrong_query(self): # Valel kujul otsingud urls = [ f'/wiki/isik/{self.test_object_id}/', '/wiki/isik/{self.test_object_id}-mingi-suvanimi', ] for url in urls: response = self.client.get(url) self.assertEqual(response.status_code, 404) class OrganisatsioonViewTests(TestCase): def setUp(self): # Every test needs access to the request factory. self.test_object_id = 13 # Säde selts # Anonymous user filter artikkel_qs = Artikkel.objects.filter(kroonika__isnull=True) self.initial_queryset = Organisatsioon.objects.all() artikliga = self.initial_queryset. \ filter(artikkel__in=artikkel_qs). \ values_list('id', flat=True) viitega = self.initial_queryset. \ filter(viited__isnull=False). \ values_list('id', flat=True) viiteta_artiklita = self.initial_queryset. \ filter(viited__isnull=True, artikkel__isnull=True). \ values_list('id', flat=True) self.model_ids = reduce(or_, [artikliga, viitega, viiteta_artiklita]) def test_object_exists(self): self.assertEqual(Organisatsioon.objects.filter(id=self.test_object_id).count(), 1) obj = Organisatsioon.objects.get(id=self.test_object_id) url = urllib.parse.unquote(obj.get_absolute_url()) self.assertEqual(url, f'/wiki/organisatsioon/{obj.id}-{obj.slug}/') def test_view_url_exists_at_desired_location(self): obj = Organisatsioon.objects.get(id=self.test_object_id) url = f'/wiki/organisatsioon/{obj.id}-{obj.slug}/' response = self.client.get(url) self.assertEqual(response.status_code, 200) def test_view_url_response_time(self): time_start = datetime.now() obj = Organisatsioon.objects.get(id=self.test_object_id) url = f'/wiki/organisatsioon/{obj.id}-{obj.slug}/' _ = self.client.get(url) time_stopp = datetime.now() - time_start self.assertTrue(time_stopp.seconds < 5) def test_view_uses_correct_template(self): obj = Organisatsioon.objects.get(id=self.test_object_id) url = f'/wiki/organisatsioon/{obj.id}-{obj.slug}/' response = self.client.get(url) self.assertEqual(response.status_code, 200) self.assertTemplateUsed(response, 'wiki/organisatsioon_detail.html') def test_view_show_by_name(self): obj = Organisatsioon.objects.get(id=self.test_object_id) kwargs = { 'pk': obj.id, 'slug': obj.slug } response = self.client.get(reverse('wiki:wiki_organisatsioon_detail', kwargs=kwargs)) self.assertEqual(response.status_code, 200) def test_view_show_by_name_random(self): SELECT_COUNT = 10 # Juhuslikud objektid kontrolliks objs = self.initial_queryset.filter(id__in=self.model_ids).order_by('?')[:SELECT_COUNT] for obj in objs: kwargs = { 'pk': obj.id, 'slug': obj.slug } response = self.client.get(reverse('wiki:wiki_organisatsioon_detail', kwargs=kwargs)) self.assertEqual(response.status_code, 200) def test_view_HTTP404_for_non_authented_user(self): SELECT_COUNT = 10 # Juhuslikud objektid kontrolliks objs = self.initial_queryset.exclude(id__in=self.model_ids).order_by('?')[:SELECT_COUNT] for obj in objs: kwargs = { 'pk': obj.id, 'slug': obj.slug } response = self.client.get(reverse('wiki:wiki_organisatsioon_detail', kwargs=kwargs)) self.assertEqual(response.status_code, 404) def test_view_HTTP404_for_wrong_query(self): # Valel kujul otsingud urls = [ f'/wiki/organisatsioon/{self.test_object_id}/', '/wiki/organisatsioon/{self.test_object_id}-mingi-suvanimi', ] for url in urls: response = self.client.get(url) self.assertEqual(response.status_code, 404) class ObjektViewTests(TestCase): def setUp(self): # Every test needs access to the request factory. self.test_object_id = 68 # Säde seltsimaja # Anonymous user filter artikkel_qs = Artikkel.objects.filter(kroonika__isnull=True) self.initial_queryset = Objekt.objects.all() artikliga = self.initial_queryset. \ filter(artikkel__in=artikkel_qs). \ values_list('id', flat=True) viitega = self.initial_queryset. \ filter(viited__isnull=False). \ values_list('id', flat=True) viiteta_artiklita = self.initial_queryset. \ filter(viited__isnull=True, artikkel__isnull=True). \ values_list('id', flat=True) self.model_ids = reduce(or_, [artikliga, viitega, viiteta_artiklita]) def test_object_exists(self): self.assertEqual(Objekt.objects.filter(id=self.test_object_id).count(), 1) obj = Objekt.objects.get(id=self.test_object_id) url = urllib.parse.unquote(obj.get_absolute_url()) self.assertEqual(url, f'/wiki/objekt/{obj.id}-{obj.slug}/') def test_view_url_exists_at_desired_location(self): obj = Objekt.objects.get(id=self.test_object_id) url = f'/wiki/objekt/{obj.id}-{obj.slug}/' response = self.client.get(url) self.assertEqual(response.status_code, 200) def test_view_url_response_time(self): time_start = datetime.now() obj = Objekt.objects.get(id=self.test_object_id) url = f'/wiki/objekt/{obj.id}-{obj.slug}/' _ = self.client.get(url) time_stopp = datetime.now() - time_start self.assertTrue(time_stopp.seconds < 5) def test_view_uses_correct_template(self): obj = Objekt.objects.get(id=self.test_object_id) url = f'/wiki/objekt/{obj.id}-{obj.slug}/' response = self.client.get(url) self.assertEqual(response.status_code, 200) self.assertTemplateUsed(response, 'wiki/objekt_detail.html') def test_view_show_by_name(self): obj = Objekt.objects.get(id=self.test_object_id) kwargs = { 'pk': obj.id, 'slug': obj.slug } response = self.client.get(reverse('wiki:wiki_objekt_detail', kwargs=kwargs)) self.assertEqual(response.status_code, 200) def test_view_show_by_name_random(self): SELECT_COUNT = 10 # Juhuslikud objektid kontrolliks objs = self.initial_queryset.filter(id__in=self.model_ids).order_by('?')[:SELECT_COUNT] for obj in objs: kwargs = { 'pk': obj.id, 'slug': obj.slug } response = self.client.get(reverse('wiki:wiki_objekt_detail', kwargs=kwargs)) self.assertEqual(response.status_code, 200) def test_view_HTTP404_for_non_authented_user(self): SELECT_COUNT = 10 # Juhuslikud objektid kontrolliks objs = self.initial_queryset.exclude(id__in=self.model_ids).order_by('?')[:SELECT_COUNT] for obj in objs: kwargs = { 'pk': obj.id, 'slug': obj.slug } response = self.client.get(reverse('wiki:wiki_objekt_detail', kwargs=kwargs)) self.assertEqual(response.status_code, 404) def test_view_HTTP404_for_wrong_query(self): # Valel kujul otsingud urls = [ f'/wiki/objekt/{self.test_object_id}/', '/wiki/objekt/{self.test_object_id}-mingi-suvanimi', ] for url in urls: response = self.client.get(url) self.assertEqual(response.status_code, 404) class FilterViewTests(TestCase): # def setUp(self): # # Every test needs access to the request factory. # self.test_object_id = 68 # Säde seltsimaja # # Anonymous user filter # artikkel_qs = Artikkel.objects.filter(kroonika__isnull=True) # self.initial_queryset = Objekt.objects.all() # artikliga = self.initial_queryset. \ # filter(artikkel__in=artikkel_qs). \ # values_list('id', flat=True) # viitega = self.initial_queryset. \ # filter(viited__isnull=False). \ # values_list('id', flat=True) # viiteta_artiklita = self.initial_queryset. \ # filter(viited__isnull=True, artikkel__isnull=True). \ # values_list('id', flat=True) # self.model_ids = reduce(or_, [artikliga, viitega, viiteta_artiklita]) def test_filter_objekt_for_non_authented_user(self): response = self.client.get('/wiki/objekt/', {'nimi_sisaldab': 'säde'}) self.assertEqual(response.status_code, 200) self.assertEqual(len(response.context['object_list']), 2) from django.contrib.staticfiles.testing import StaticLiveServerTestCase from selenium.webdriver.chrome.webdriver import WebDriver # class MySeleniumTests(StaticLiveServerTestCase): # # fixtures = ['user-data.json'] # # @classmethod # def setUpClass(cls): # super().setUpClass() # cls.selenium = WebDriver() # cls.selenium.implicitly_wait(10) # # @classmethod # def tearDownClass(cls): # cls.selenium.quit() # super().tearDownClass() # # def test_login(self): # from selenium.webdriver.support.wait import WebDriverWait # timeout = 2 # self.selenium.get('%s%s' % (self.live_server_url, '/accounts/login/')) # username_input = self.selenium.find_element_by_name("username") # username_input.send_keys('') # password_input = self.selenium.find_element_by_name("password") # password_input.send_keys('') # self.selenium.find_element_by_xpath('//input[@value="login"]').click() # # Wait until the response is received # WebDriverWait(self.selenium, timeout).until( # lambda driver: driver.find_element_by_tag_name('body'))

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39.844721

0.790756

0.144089

0

0.710306

0

0.09473

0.080578

0

0.158774

1

0.116992

false

0

0.02507

0

0.16156

0

null

0

1

0

1

0

null

0

7

f2c71e2b2e903033d40e16b539ed8fb3b99da50d

1,513

py

Python

hoverpy/decorators.py

alvarocavalcanti/hoverpy

e153ec57f80634019d827d378f184c01fedc5a0e

[ "Apache-2.0" ]

88

2016-11-10T18:05:28.000Z

2021-04-26T05:46:34.000Z

hoverpy/decorators.py

alvarocavalcanti/hoverpy

e153ec57f80634019d827d378f184c01fedc5a0e

[ "Apache-2.0" ]

11

2016-12-10T21:03:25.000Z

2018-10-05T09:46:21.000Z

hoverpy/decorators.py

alvarocavalcanti/hoverpy

e153ec57f80634019d827d378f184c01fedc5a0e

[ "Apache-2.0" ]

10

2016-11-10T19:02:28.000Z

2018-10-22T10:17:55.000Z

from .hp import HoverPy class capture(object): def __init__(self, dbpath="requests.db", capture=True, **kwargs): self.dbpath = dbpath self.capture = capture self.kwargs = kwargs def __call__(self, f): def wrapped_f(*args): with HoverPy(capture=self.capture, dbpath=self.dbpath, **self.kwargs): return f(*args) return wrapped_f class simulate(object): def __init__(self, dbpath="requests.db", capture=False, **kwargs): self.dbpath = dbpath self.capture = capture self.kwargs = kwargs def __call__(self, f): def wrapped_f(*args): with HoverPy(capture=self.capture, dbpath=self.dbpath, **self.kwargs): return f(*args) return wrapped_f class spy(object): def __init__(self, dbpath="requests.db", capture=False, **kwargs): self.dbpath = dbpath self.capture = capture self.kwargs = kwargs def __call__(self, f): def wrapped_f(*args): with HoverPy(spy=True, capture=self.capture, dbpath=self.dbpath, **self.kwargs): return f(*args) return wrapped_f class modify(object): def __init__(self, middleware, **kwargs): self.middleware = middleware self.kwargs = kwargs def __call__(self, f): def wrapped_f(*args): with HoverPy(modify=True, middleware=self.middleware, **self.kwargs): return f(*args) return wrapped_f

28.018519

92

0.603437

178

1,513

4.904494

0.146067

0.103093

0.059565

0.077892

0.828179

0.742268

0

0.28156

1,513

53

93

28.54717

0.803128

0

0.75

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0.021825

0

1

0.3

false

0

0.025

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1

0

1

0

null

0

1

0

8

4b4d3f9acf50e90e2b259fa7e187201e6987e61c

6,710

py

Python

document_page.py

XiaochenHou/zhiying_android_automation

dc680a489a604221dec9410c577ae30dd5ab12bc

[ "MIT" ]

2

2022-02-11T08:48:50.000Z

2022-02-11T09:53:38.000Z

document_page.py

XiaochenHou/zhiying_android_automation

dc680a489a604221dec9410c577ae30dd5ab12bc

[ "MIT" ]

null

document_page.py

XiaochenHou/zhiying_android_automation

dc680a489a604221dec9410c577ae30dd5ab12bc

[ "MIT" ]

null

from time import sleep from constant import back from selenium.webdriver.common.by import By def document_page_test(driver): print("========Document Page Test Started========") # switch to the document page driver.find_element(By.XPATH, "/hierarchy/android.widget.FrameLayout/android.widget.LinearLayout/android.widget.FrameLayout/android.widget.LinearLayout/android.widget.FrameLayout/android.widget.RelativeLayout/android.widget.FrameLayout/android.widget.LinearLayout/android.widget.RelativeLayout[2]").click() print("switched to the document page") print("testing the three dots...") three_dots = driver.find_element(By.XPATH, "/hierarchy/android.widget.FrameLayout/android.widget.LinearLayout/android.widget.FrameLayout/android.widget.LinearLayout/android.widget.FrameLayout/android.widget.RelativeLayout/androidx.viewpager.widget.ViewPager/android.widget.LinearLayout/androidx.viewpager.widget.ViewPager/android.widget.LinearLayout/androidx.viewpager.widget.ViewPager/android.widget.LinearLayout/android.widget.RelativeLayout/android.widget.LinearLayout/android.view.ViewGroup/android.widget.RelativeLayout[2]/androidx.recyclerview.widget.RecyclerView/android.widget.RelativeLayout[1]/android.widget.LinearLayout[2]/android.widget.ImageView") three_dots.click() cooperation = driver.find_element(By.ID, "com.iflytek.zhiying:id/tv_cooperation_list") cooperation.click() # sleep(10) back(driver) print("cooperation done!") three_dots = driver.find_element(By.XPATH, "/hierarchy/android.widget.FrameLayout/android.widget.LinearLayout/android.widget.FrameLayout/android.widget.LinearLayout/android.widget.FrameLayout/android.widget.RelativeLayout/androidx.viewpager.widget.ViewPager/android.widget.LinearLayout/androidx.viewpager.widget.ViewPager/android.widget.LinearLayout/androidx.viewpager.widget.ViewPager/android.widget.LinearLayout/android.widget.RelativeLayout/android.widget.LinearLayout/android.view.ViewGroup/android.widget.RelativeLayout[2]/androidx.recyclerview.widget.RecyclerView/android.widget.RelativeLayout[1]/android.widget.LinearLayout[2]/android.widget.ImageView") three_dots.click() share = driver.find_element_by_id("com.iflytek.zhiying:id/tv_pop_share") share.click() back(driver) print("share done!") print("three dots tests done!") print("collection test starts...") document = driver.find_element_by_xpath( "/hierarchy/android.widget.FrameLayout/android.widget.LinearLayout/android.widget.FrameLayout/android.widget.LinearLayout/android.widget.FrameLayout/android.widget.RelativeLayout/androidx.viewpager.widget.ViewPager/android.widget.LinearLayout/androidx.viewpager.widget.ViewPager/android.widget.LinearLayout/androidx.viewpager.widget.ViewPager/android.widget.LinearLayout/android.widget.RelativeLayout/android.widget.LinearLayout/android.view.ViewGroup/android.widget.RelativeLayout[2]/androidx.recyclerview.widget.RecyclerView/android.widget.RelativeLayout[1]/android.widget.LinearLayout[1]") document.click() sleep(1) # 收藏 star = driver.find_element_by_xpath( "/hierarchy/android.widget.FrameLayout/android.widget.LinearLayout/android.widget.FrameLayout/android.widget.LinearLayout/android.widget.FrameLayout/android.widget.LinearLayout/android.widget.RelativeLayout/android.widget.LinearLayout/android.view.ViewGroup/android.widget.RelativeLayout[2]/androidx.recyclerview.widget.RecyclerView/android.widget.RelativeLayout[1]/android.widget.ImageView[2]") star.click() back(driver) # 检查收藏 check_collection(driver) # 与我协作 driver.find_element(By.XPATH, "/hierarchy/android.widget.FrameLayout/android.widget.LinearLayout/android.widget.FrameLayout/android.widget.LinearLayout/android.widget.FrameLayout/android.widget.RelativeLayout/androidx.viewpager.widget.ViewPager/android.widget.LinearLayout/androidx.viewpager.widget.ViewPager/android.widget.LinearLayout/androidx.recyclerview.widget.RecyclerView/android.widget.LinearLayout[2]/android.widget.TextView").click() print("now check the upload page") driver.find_element(By.XPATH, "/hierarchy/android.widget.FrameLayout/android.widget.LinearLayout/android.widget.FrameLayout/android.widget.LinearLayout/android.widget.FrameLayout/android.widget.RelativeLayout/androidx.viewpager.widget.ViewPager/android.widget.LinearLayout/android.widget.RelativeLayout/android.widget.HorizontalScrollView/android.widget.LinearLayout/androidx.appcompat.app.ActionBar.Tab[2]").click() # upload button driver.find_element(By.ID, "com.iflytek.zhiying:id/iv_upload_file").click() back(driver) print("upload page done!") print("========document page done!========") # reset the page to home page driver.find_element(By.XPATH, "/hierarchy/android.widget.FrameLayout/android.widget.LinearLayout/android.widget.FrameLayout/android.widget.LinearLayout/android.widget.FrameLayout/android.widget.RelativeLayout/androidx.viewpager.widget.ViewPager/android.widget.LinearLayout/android.widget.RelativeLayout/android.widget.HorizontalScrollView/android.widget.LinearLayout/androidx.appcompat.app.ActionBar.Tab[1]").click() driver.find_element(By.XPATH, "/hierarchy/android.widget.FrameLayout/android.widget.LinearLayout/android.widget.FrameLayout/android.widget.LinearLayout/android.widget.FrameLayout/android.widget.RelativeLayout/android.widget.FrameLayout/android.widget.LinearLayout/android.widget.RelativeLayout[1]").click() def check_collection(driver): # go to the main page print("now check the collection") driver.find_element(By.XPATH, "/hierarchy/android.widget.FrameLayout/android.widget.LinearLayout/android.widget.FrameLayout/android.widget.LinearLayout/android.widget.FrameLayout/android.widget.RelativeLayout/android.widget.FrameLayout/android.widget.LinearLayout/android.widget.RelativeLayout[1]").click() driver.find_element(By.ID, "com.iflytek.zhiying:id/tv_collect").click() sleep(2) # 取消收藏 driver.find_element(By.ID, "com.iflytek.zhiying:id/iv_document_collect").click() print("the star unchecked") back(driver) print("collection check done!") driver.find_element(By.XPATH, "/hierarchy/android.widget.FrameLayout/android.widget.LinearLayout/android.widget.FrameLayout/android.widget.LinearLayout/android.widget.FrameLayout/android.widget.RelativeLayout/android.widget.FrameLayout/android.widget.LinearLayout/android.widget.RelativeLayout[2]").click()

78.023256

654

0.783756

756

6,710

6.904762

0.104497

0.301341

0.239464

0.219732

0.852874

0.838506

0

0.003785

0.094337

6,710

85

655

78.941176

0.855192

0.017437

0

0.372881

0

0.186441

0.747683

0.700289

0

1

0.033898

false

0

0.050847

0

0.084746

0.220339

0

null

1

0

1

null

0

11

4b6aa5cd552add32a9b679291707ca92aeba5a5c

364

py

Python

effect.py

vanquisher2122/my-projects

cf1abf90b30aa82b5cf16b9263d2dbcdf2750dd1

[ "Apache-2.0" ]

null

effect.py

vanquisher2122/my-projects

cf1abf90b30aa82b5cf16b9263d2dbcdf2750dd1

[ "Apache-2.0" ]

null

effect.py

vanquisher2122/my-projects

cf1abf90b30aa82b5cf16b9263d2dbcdf2750dd1

[ "Apache-2.0" ]

null

import time import os def load(): print("loading. \ ") time.sleep(1) os.system('cls') print("loading.. |") time.sleep(1) os.system('cls') print("loading... /") time.sleep(1) os.system('cls') print("loading.. -") time.sleep(1) os.system('cls') load() load() load() load() load() load() load() load() load() load() load()

13

24

0.552198

49

364

4.102041

0.22449

0.39801

0.537313

0.636816

0.875622

0

0.013986

0.214286

364

28

25

13

0.688811

0

0.730769

0

0.180473

0

1

0.038462

true

0

0.076923

0

0.115385

0.153846

0

null

1

0

1

0

null

0

1

0

11

4b8794fd886042b62475832ea317b60b441392a8

3,342

py

Python

pyspedas/mms/tests/eis.py

shihikoo/pyspedas

5251c52d074c4f2c3d91f2f8a457d36f3ad2ddb4

[ "MIT" ]

null

pyspedas/mms/tests/eis.py

shihikoo/pyspedas

5251c52d074c4f2c3d91f2f8a457d36f3ad2ddb4

[ "MIT" ]

null

pyspedas/mms/tests/eis.py

shihikoo/pyspedas

5251c52d074c4f2c3d91f2f8a457d36f3ad2ddb4

[ "MIT" ]

null

import unittest import numpy as np from pyspedas import mms_load_eis, mms_eis_pad from pyspedas.utilities.data_exists import data_exists class EISTestCases(unittest.TestCase): def test_pad_extof_srvy(self): mms_load_eis(datatype='extof') mms_eis_pad(datatype='extof') self.assertTrue(data_exists('mms1_epd_eis_extof_46-10489keV_proton_flux_omni_pad_spin')) self.assertTrue(data_exists('mms1_epd_eis_extof_46-10489keV_proton_flux_omni_pad')) self.assertTrue(data_exists('mms1_epd_eis_extof_proton_flux_omni_spin')) self.assertTrue(data_exists('mms1_epd_eis_extof_proton_flux_omni')) self.assertTrue(data_exists('mms1_epd_eis_extof_oxygen_energy_range')) self.assertTrue(data_exists('mms1_epd_eis_extof_proton_energy_range')) def test_pad_extof_srvy_probe(self): mms_load_eis(probe=4) mms_eis_pad(probe=4) self.assertTrue(data_exists('mms4_epd_eis_extof_44-1315keV_proton_flux_omni_pad_spin')) self.assertTrue(data_exists('mms4_epd_eis_extof_44-1315keV_proton_flux_omni_pad')) self.assertTrue(data_exists('mms4_epd_eis_extof_proton_flux_omni_spin')) self.assertTrue(data_exists('mms4_epd_eis_extof_proton_flux_omni')) self.assertTrue(data_exists('mms4_epd_eis_extof_oxygen_energy_range')) self.assertTrue(data_exists('mms4_epd_eis_extof_proton_energy_range')) def test_pad_extof_brst(self): mms_load_eis(probe=4, datatype='extof', data_rate='brst', trange=['2015-10-16/13:06', '2015-10-16/13:07']) mms_eis_pad(probe=4, datatype='extof', data_rate='brst') self.assertTrue(data_exists('mms4_epd_eis_brst_extof_52-878keV_proton_flux_omni_pad_spin')) self.assertTrue(data_exists('mms4_epd_eis_brst_extof_52-878keV_proton_flux_omni_pad')) self.assertTrue(data_exists('mms4_epd_eis_brst_extof_proton_flux_omni')) self.assertTrue(data_exists('mms4_epd_eis_brst_extof_proton_energy_range')) self.assertTrue(data_exists('mms4_epd_eis_brst_extof_oxygen_energy_range')) def test_load_phxtof_data(self): data = mms_load_eis(trange=['2015-10-16', '2015-10-16/01:00'], datatype='phxtof') self.assertTrue(data_exists('mms1_epd_eis_phxtof_proton_flux_omni')) self.assertTrue(data_exists('mms1_epd_eis_phxtof_proton_t5_energy_dminus')) self.assertTrue(data_exists('mms1_epd_eis_phxtof_proton_t5_energy_dplus')) def test_load_phxtof_spdf(self): data = mms_load_eis(trange=['2015-10-16/13:06', '2015-10-16/13:07'], datatype='phxtof', data_rate='brst', spdf=True) self.assertTrue(data_exists('mms1_epd_eis_brst_phxtof_proton_flux_omni')) self.assertTrue(data_exists('mms1_epd_eis_brst_phxtof_proton_t5_energy_dminus')) self.assertTrue(data_exists('mms1_epd_eis_brst_phxtof_proton_t5_energy_dplus')) def test_load_extof_suffix(self): data = mms_load_eis(trange=['2015-10-16/13:06', '2015-10-16/13:07'], data_rate='brst', datatype='extof', suffix='_test') self.assertTrue(data_exists('mms1_epd_eis_brst_extof_proton_flux_omni_test')) self.assertTrue(data_exists('mms1_epd_eis_brst_extof_proton_t5_energy_dminus_test')) self.assertTrue(data_exists('mms1_epd_eis_brst_extof_proton_t5_energy_dminus_test')) if __name__ == '__main__': unittest.main()

59.678571

128

0.770497

508

3,342

4.527559

0.124016

0.121739

0.203478

0.271304

0.836522

0.816087

0.801304

0.77087

0.756957

0.699565

0

0.055935

0.122681

3,342

56

129

59.678571

0.728513

0

0.041667

0

0.402932

0.346695

0

0.541667

1

0.125

false

0

0.083333

0

0.229167

0

null

0

1

0

null

0

1

0

9

4baf1e80ebb36fd935664d5f882e56c073d19de2

94

py

Python

linora/sample_splits/__init__.py

Hourout/linora

4269516c9227a18bd1a65e1c6a59e73c74e874d0

[ "Apache-2.0" ]

10

2018-11-22T03:30:39.000Z

2020-08-20T04:39:35.000Z

linora/sample_splits/__init__.py

Hourout/linora

4269516c9227a18bd1a65e1c6a59e73c74e874d0

[ "Apache-2.0" ]

null

linora/sample_splits/__init__.py

Hourout/linora

4269516c9227a18bd1a65e1c6a59e73c74e874d0

[ "Apache-2.0" ]

3

2019-04-09T12:17:34.000Z

2020-08-20T04:33:31.000Z

from linora.sample_splits._fold import * from linora.sample_splits._timeseries_kfold import *

31.333333

52

0.851064

13

94

5.769231

0.615385

0.266667

0.426667

0.586667

0

0.085106

94

2

53

47

0.872093

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

8

d9ac7dd7062e9bca9e27624e12cd278f347bb0b4

11,569

py

Python

utils/models/q_resnet.py

GavinGuan95/HAWQ

a4feff3967739bb9f700c60a19b6c3fd3e8d8377

[ "MIT" ]

215

2020-11-24T07:08:26.000Z

2022-03-28T22:31:18.000Z

utils/models/q_resnet.py

GavinGuan95/HAWQ

a4feff3967739bb9f700c60a19b6c3fd3e8d8377

[ "MIT" ]

33

2020-11-23T05:52:55.000Z

2022-03-29T03:08:48.000Z

utils/models/q_resnet.py

GavinGuan95/HAWQ

a4feff3967739bb9f700c60a19b6c3fd3e8d8377

[ "MIT" ]

54

2020-11-24T07:31:25.000Z

2022-03-31T19:54:26.000Z

""" Quantized ResNet for ImageNet-1K, implemented in PyTorch. Original paper: 'Deep Residual Learning for Image Recognition,' https://arxiv.org/abs/1512.03385. """ import torch import torch.nn as nn import copy from ..quantization_utils.quant_modules import * from pytorchcv.models.common import ConvBlock from pytorchcv.models.shufflenetv2 import ShuffleUnit, ShuffleInitBlock import time import logging class Q_ResNet18(nn.Module): """ Quantized ResNet50 model from 'Deep Residual Learning for Image Recognition,' https://arxiv.org/abs/1512.03385. """ def __init__(self, model): super().__init__() features = getattr(model, 'features') init_block = getattr(features, 'init_block') self.quant_input = QuantAct() self.quant_init_block_convbn = QuantBnConv2d() self.quant_init_block_convbn.set_param(init_block.conv.conv, init_block.conv.bn) self.quant_act_int32 = QuantAct() self.pool = nn.MaxPool2d(kernel_size=3, stride=2, padding=1) self.act = nn.ReLU() self.channel = [2, 2, 2, 2] for stage_num in range(0, 4): stage = getattr(features, "stage{}".format(stage_num + 1)) for unit_num in range(0, self.channel[stage_num]): unit = getattr(stage, "unit{}".format(unit_num + 1)) quant_unit = Q_ResBlockBn() quant_unit.set_param(unit) setattr(self, f"stage{stage_num + 1}.unit{unit_num + 1}", quant_unit) self.final_pool = QuantAveragePool2d(kernel_size=7, stride=1) self.quant_act_output = QuantAct() output = getattr(model, 'output') self.quant_output = QuantLinear() self.quant_output.set_param(output) def forward(self, x): x, act_scaling_factor = self.quant_input(x) x, weight_scaling_factor = self.quant_init_block_convbn(x, act_scaling_factor) x = self.pool(x) x, act_scaling_factor = self.quant_act_int32(x, act_scaling_factor, weight_scaling_factor) x = self.act(x) for stage_num in range(0, 4): for unit_num in range(0, self.channel[stage_num]): tmp_func = getattr(self, f"stage{stage_num+1}.unit{unit_num+1}") x, act_scaling_factor = tmp_func(x, act_scaling_factor) x = self.final_pool(x, act_scaling_factor) x, act_scaling_factor = self.quant_act_output(x, act_scaling_factor) x = x.view(x.size(0), -1) x = self.quant_output(x, act_scaling_factor) return x class Q_ResNet50(nn.Module): """ Quantized ResNet50 model from 'Deep Residual Learning for Image Recognition,' https://arxiv.org/abs/1512.03385. """ def __init__(self, model): super().__init__() features = getattr(model, 'features') init_block = getattr(features, 'init_block') self.quant_input = QuantAct() self.quant_init_convbn = QuantBnConv2d() self.quant_init_convbn.set_param(init_block.conv.conv, init_block.conv.bn) self.quant_act_int32 = QuantAct() self.pool = nn.MaxPool2d(kernel_size=3, stride=2, padding=1) self.act = nn.ReLU() self.channel = [3, 4, 6, 3] for stage_num in range(0, 4): stage = getattr(features, "stage{}".format(stage_num + 1)) for unit_num in range(0, self.channel[stage_num]): unit = getattr(stage, "unit{}".format(unit_num + 1)) quant_unit = Q_ResUnitBn() quant_unit.set_param(unit) setattr(self, f"stage{stage_num + 1}.unit{unit_num + 1}", quant_unit) self.final_pool = QuantAveragePool2d(kernel_size=7, stride=1) self.quant_act_output = QuantAct() output = getattr(model, 'output') self.quant_output = QuantLinear() self.quant_output.set_param(output) def forward(self, x): x, act_scaling_factor = self.quant_input(x) x, weight_scaling_factor = self.quant_init_convbn(x, act_scaling_factor) x = self.pool(x) x, act_scaling_factor = self.quant_act_int32(x, act_scaling_factor, weight_scaling_factor) x = self.act(x) for stage_num in range(0, 4): for unit_num in range(0, self.channel[stage_num]): tmp_func = getattr(self, f"stage{stage_num+1}.unit{unit_num+1}") x, act_scaling_factor = tmp_func(x, act_scaling_factor) x = self.final_pool(x, act_scaling_factor) x, act_scaling_factor = self.quant_act_output(x, act_scaling_factor) x = x.view(x.size(0), -1) x = self.quant_output(x, act_scaling_factor) return x class Q_ResNet101(nn.Module): """ Quantized ResNet101 model from 'Deep Residual Learning for Image Recognition,' https://arxiv.org/abs/1512.03385. """ def __init__(self, model): super().__init__() features = getattr(model, 'features') init_block = getattr(features, 'init_block') self.quant_input = QuantAct() self.quant_init_convbn = QuantBnConv2d() self.quant_init_convbn.set_param(init_block.conv.conv, init_block.conv.bn) self.quant_act_int32 = QuantAct() self.pool = nn.MaxPool2d(kernel_size=3, stride=2, padding=1) self.act = nn.ReLU() self.channel = [3, 4, 23, 3] for stage_num in range(0, 4): stage = getattr(features, "stage{}".format(stage_num + 1)) for unit_num in range(0, self.channel[stage_num]): unit = getattr(stage, "unit{}".format(unit_num + 1)) quant_unit = Q_ResUnitBn() quant_unit.set_param(unit) setattr(self, f"stage{stage_num + 1}.unit{unit_num + 1}", quant_unit) self.final_pool = QuantAveragePool2d(kernel_size=7, stride=1) self.quant_act_output = QuantAct() output = getattr(model, 'output') self.quant_output = QuantLinear() self.quant_output.set_param(output) def forward(self, x): x, act_scaling_factor = self.quant_input(x) x, weight_scaling_factor = self.quant_init_convbn(x, act_scaling_factor) x = self.pool(x) x, act_scaling_factor = self.quant_act_int32(x, act_scaling_factor, weight_scaling_factor, None, None) x = self.act(x) for stage_num in range(0, 4): for unit_num in range(0, self.channel[stage_num]): tmp_func = getattr(self, f"stage{stage_num+1}.unit{unit_num+1}") x, act_scaling_factor = tmp_func(x, act_scaling_factor) x = self.final_pool(x, act_scaling_factor) x, act_scaling_factor = self.quant_act_output(x, act_scaling_factor) x = x.view(x.size(0), -1) x = self.quant_output(x, act_scaling_factor) return x class Q_ResUnitBn(nn.Module): """ Quantized ResNet unit with residual path. """ def __init__(self): super(Q_ResUnitBn, self).__init__() def set_param(self, unit): self.resize_identity = unit.resize_identity self.quant_act = QuantAct() convbn1 = unit.body.conv1 self.quant_convbn1 = QuantBnConv2d() self.quant_convbn1.set_param(convbn1.conv, convbn1.bn) self.quant_act1 = QuantAct() convbn2 = unit.body.conv2 self.quant_convbn2 = QuantBnConv2d() self.quant_convbn2.set_param(convbn2.conv, convbn2.bn) self.quant_act2 = QuantAct() convbn3 = unit.body.conv3 self.quant_convbn3 = QuantBnConv2d() self.quant_convbn3.set_param(convbn3.conv, convbn3.bn) if self.resize_identity: self.quant_identity_convbn = QuantBnConv2d() self.quant_identity_convbn.set_param(unit.identity_conv.conv, unit.identity_conv.bn) self.quant_act_int32 = QuantAct() def forward(self, x, scaling_factor_int32=None): # forward using the quantized modules if self.resize_identity: x, act_scaling_factor = self.quant_act(x, scaling_factor_int32) identity_act_scaling_factor = act_scaling_factor.clone() identity, identity_weight_scaling_factor = self.quant_identity_convbn(x, act_scaling_factor) else: identity = x x, act_scaling_factor = self.quant_act(x, scaling_factor_int32) x, weight_scaling_factor = self.quant_convbn1(x, act_scaling_factor) x = nn.ReLU()(x) x, act_scaling_factor = self.quant_act1(x, act_scaling_factor, weight_scaling_factor) x, weight_scaling_factor = self.quant_convbn2(x, act_scaling_factor) x = nn.ReLU()(x) x, act_scaling_factor = self.quant_act2(x, act_scaling_factor, weight_scaling_factor) x, weight_scaling_factor = self.quant_convbn3(x, act_scaling_factor) x = x + identity if self.resize_identity: x, act_scaling_factor = self.quant_act_int32(x, act_scaling_factor, weight_scaling_factor, identity, identity_act_scaling_factor, identity_weight_scaling_factor) else: x, act_scaling_factor = self.quant_act_int32(x, act_scaling_factor, weight_scaling_factor, identity, scaling_factor_int32, None) x = nn.ReLU()(x) return x, act_scaling_factor class Q_ResBlockBn(nn.Module): """ Quantized ResNet block with residual path. """ def __init__(self): super(Q_ResBlockBn, self).__init__() def set_param(self, unit): self.resize_identity = unit.resize_identity self.quant_act = QuantAct() convbn1 = unit.body.conv1 self.quant_convbn1 = QuantBnConv2d() self.quant_convbn1.set_param(convbn1.conv, convbn1.bn) self.quant_act1 = QuantAct() convbn2 = unit.body.conv2 self.quant_convbn2 = QuantBnConv2d() self.quant_convbn2.set_param(convbn2.conv, convbn2.bn) if self.resize_identity: self.quant_identity_convbn = QuantBnConv2d() self.quant_identity_convbn.set_param(unit.identity_conv.conv, unit.identity_conv.bn) self.quant_act_int32 = QuantAct() def forward(self, x, scaling_factor_int32=None): # forward using the quantized modules if self.resize_identity: x, act_scaling_factor = self.quant_act(x, scaling_factor_int32) identity_act_scaling_factor = act_scaling_factor.clone() identity, identity_weight_scaling_factor = self.quant_identity_convbn(x, act_scaling_factor) else: identity = x x, act_scaling_factor = self.quant_act(x, scaling_factor_int32) x, weight_scaling_factor = self.quant_convbn1(x, act_scaling_factor) x = nn.ReLU()(x) x, act_scaling_factor = self.quant_act1(x, act_scaling_factor, weight_scaling_factor) x, weight_scaling_factor = self.quant_convbn2(x, act_scaling_factor) x = x + identity if self.resize_identity: x, act_scaling_factor = self.quant_act_int32(x, act_scaling_factor, weight_scaling_factor, identity, identity_act_scaling_factor, identity_weight_scaling_factor) else: x, act_scaling_factor = self.quant_act_int32(x, act_scaling_factor, weight_scaling_factor, identity, scaling_factor_int32, None) x = nn.ReLU()(x) return x, act_scaling_factor def q_resnet18(model): net = Q_ResNet18(model) return net def q_resnet50(model): net = Q_ResNet50(model) return net def q_resnet101(model): net = Q_ResNet101(model) return net

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null

0

7

d9f34ccd0e8ffbfb725219ae87830961b0c13579

5,877

py

Python

dlint/linters/bad_defusedxml_use.py

DrewDennison/dlint

a2ed49e68638036aa99ea4ba6f095473b5dddd88

[ "BSD-3-Clause" ]

335

2019-07-17T13:31:21.000Z

2021-12-09T06:02:21.000Z

dlint/linters/bad_defusedxml_use.py

DrewDennison/dlint

a2ed49e68638036aa99ea4ba6f095473b5dddd88

[ "BSD-3-Clause" ]

49

2019-07-17T13:34:56.000Z

2020-08-11T12:22:22.000Z

dlint/linters/bad_defusedxml_use.py

DrewDennison/dlint

a2ed49e68638036aa99ea4ba6f095473b5dddd88

[ "BSD-3-Clause" ]

15

2019-07-17T20:28:33.000Z

2021-01-11T11:06:06.000Z

#!/usr/bin/env python from __future__ import ( absolute_import, division, print_function, unicode_literals, ) from .helpers import bad_kwarg_use from .. import tree class BadDefusedxmlUseLinter(bad_kwarg_use.BadKwargUseLinter): """This linter looks for lack of "defusedxml" parsing defenses. The "defusedxml" library offers "forbid_dtd", "forbid_entities", and "forbid_external" keyword arguments to prevent various XML attack vectors[1]. All defenses should be enabled. [1] https://pypi.org/project/defusedxml/ """ off_by_default = False _code = 'DUO135' _error_tmpl = 'DUO135 enable all "forbid_*" defenses when using "defusedxml" parsing' @property def kwargs(self): return [ { "module_path": "defusedxml.lxml.fromstring", "kwarg_name": "forbid_dtd", "predicate": tree.kwarg_not_present, }, { "module_path": "defusedxml.lxml.iterparse", "kwarg_name": "forbid_dtd", "predicate": tree.kwarg_not_present, }, { "module_path": "defusedxml.lxml.parse", "kwarg_name": "forbid_dtd", "predicate": tree.kwarg_not_present, }, { "module_path": "defusedxml.lxml.fromstring", "kwarg_name": "forbid_entities", "predicate": tree.kwarg_false, }, { "module_path": "defusedxml.lxml.iterparse", "kwarg_name": "forbid_entities", "predicate": tree.kwarg_false, }, { "module_path": "defusedxml.lxml.parse", "kwarg_name": "forbid_entities", "predicate": tree.kwarg_false, }, { "module_path": "defusedxml.lxml.fromstring", "kwarg_name": "forbid_external", "predicate": tree.kwarg_false, }, { "module_path": "defusedxml.lxml.iterparse", "kwarg_name": "forbid_external", "predicate": tree.kwarg_false, }, { "module_path": "defusedxml.lxml.parse", "kwarg_name": "forbid_external", "predicate": tree.kwarg_false, }, { "module_path": "defusedxml.cElementTree.fromstring", "kwarg_name": "forbid_dtd", "predicate": tree.kwarg_not_present, }, { "module_path": "defusedxml.cElementTree.iterparse", "kwarg_name": "forbid_dtd", "predicate": tree.kwarg_not_present, }, { "module_path": "defusedxml.cElementTree.parse", "kwarg_name": "forbid_dtd", "predicate": tree.kwarg_not_present, }, { "module_path": "defusedxml.cElementTree.fromstring", "kwarg_name": "forbid_entities", "predicate": tree.kwarg_false, }, { "module_path": "defusedxml.cElementTree.iterparse", "kwarg_name": "forbid_entities", "predicate": tree.kwarg_false, }, { "module_path": "defusedxml.cElementTree.parse", "kwarg_name": "forbid_entities", "predicate": tree.kwarg_false, }, { "module_path": "defusedxml.cElementTree.fromstring", "kwarg_name": "forbid_external", "predicate": tree.kwarg_false, }, { "module_path": "defusedxml.cElementTree.iterparse", "kwarg_name": "forbid_external", "predicate": tree.kwarg_false, }, { "module_path": "defusedxml.cElementTree.parse", "kwarg_name": "forbid_external", "predicate": tree.kwarg_false, }, { "module_path": "defusedxml.ElementTree.fromstring", "kwarg_name": "forbid_dtd", "predicate": tree.kwarg_not_present, }, { "module_path": "defusedxml.ElementTree.iterparse", "kwarg_name": "forbid_dtd", "predicate": tree.kwarg_not_present, }, { "module_path": "defusedxml.ElementTree.parse", "kwarg_name": "forbid_dtd", "predicate": tree.kwarg_not_present, }, { "module_path": "defusedxml.ElementTree.fromstring", "kwarg_name": "forbid_entities", "predicate": tree.kwarg_false, }, { "module_path": "defusedxml.ElementTree.iterparse", "kwarg_name": "forbid_entities", "predicate": tree.kwarg_false, }, { "module_path": "defusedxml.ElementTree.parse", "kwarg_name": "forbid_entities", "predicate": tree.kwarg_false, }, { "module_path": "defusedxml.ElementTree.fromstring", "kwarg_name": "forbid_external", "predicate": tree.kwarg_false, }, { "module_path": "defusedxml.ElementTree.iterparse", "kwarg_name": "forbid_external", "predicate": tree.kwarg_false, }, { "module_path": "defusedxml.ElementTree.parse", "kwarg_name": "forbid_external", "predicate": tree.kwarg_false, }, ]

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1

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null

0

7

d9f5a049da7c03a6fe6588c4e03bb90920159d25

6,269

py

Python

loldib/getratings/models/NA/na_nunu/na_nunu_jng.py

koliupy/loldib

c9ab94deb07213cdc42b5a7c26467cdafaf81b7f

[ "Apache-2.0" ]

null

loldib/getratings/models/NA/na_nunu/na_nunu_jng.py

koliupy/loldib

c9ab94deb07213cdc42b5a7c26467cdafaf81b7f

[ "Apache-2.0" ]

null

loldib/getratings/models/NA/na_nunu/na_nunu_jng.py

koliupy/loldib

c9ab94deb07213cdc42b5a7c26467cdafaf81b7f

[ "Apache-2.0" ]

null

from getratings.models.ratings import Ratings class NA_Nunu_Jng_Aatrox(Ratings): pass class NA_Nunu_Jng_Ahri(Ratings): pass class NA_Nunu_Jng_Akali(Ratings): pass class NA_Nunu_Jng_Alistar(Ratings): pass class NA_Nunu_Jng_Amumu(Ratings): pass class NA_Nunu_Jng_Anivia(Ratings): pass class NA_Nunu_Jng_Annie(Ratings): pass class NA_Nunu_Jng_Ashe(Ratings): pass class NA_Nunu_Jng_AurelionSol(Ratings): pass class NA_Nunu_Jng_Azir(Ratings): pass class NA_Nunu_Jng_Bard(Ratings): pass class NA_Nunu_Jng_Blitzcrank(Ratings): pass class NA_Nunu_Jng_Brand(Ratings): pass class NA_Nunu_Jng_Braum(Ratings): pass class NA_Nunu_Jng_Caitlyn(Ratings): pass class NA_Nunu_Jng_Camille(Ratings): pass class NA_Nunu_Jng_Cassiopeia(Ratings): pass class NA_Nunu_Jng_Chogath(Ratings): pass class NA_Nunu_Jng_Corki(Ratings): pass class NA_Nunu_Jng_Darius(Ratings): pass class NA_Nunu_Jng_Diana(Ratings): pass class NA_Nunu_Jng_Draven(Ratings): pass class NA_Nunu_Jng_DrMundo(Ratings): pass class NA_Nunu_Jng_Ekko(Ratings): pass class NA_Nunu_Jng_Elise(Ratings): pass class NA_Nunu_Jng_Evelynn(Ratings): pass class NA_Nunu_Jng_Ezreal(Ratings): pass class NA_Nunu_Jng_Fiddlesticks(Ratings): pass class NA_Nunu_Jng_Fiora(Ratings): pass class NA_Nunu_Jng_Fizz(Ratings): pass class NA_Nunu_Jng_Galio(Ratings): pass class NA_Nunu_Jng_Gangplank(Ratings): pass class NA_Nunu_Jng_Garen(Ratings): pass class NA_Nunu_Jng_Gnar(Ratings): pass class NA_Nunu_Jng_Gragas(Ratings): pass class NA_Nunu_Jng_Graves(Ratings): pass class NA_Nunu_Jng_Hecarim(Ratings): pass class NA_Nunu_Jng_Heimerdinger(Ratings): pass class NA_Nunu_Jng_Illaoi(Ratings): pass class NA_Nunu_Jng_Irelia(Ratings): pass class NA_Nunu_Jng_Ivern(Ratings): pass class NA_Nunu_Jng_Janna(Ratings): pass class NA_Nunu_Jng_JarvanIV(Ratings): pass class NA_Nunu_Jng_Jax(Ratings): pass class NA_Nunu_Jng_Jayce(Ratings): pass class NA_Nunu_Jng_Jhin(Ratings): pass class NA_Nunu_Jng_Jinx(Ratings): pass class NA_Nunu_Jng_Kalista(Ratings): pass class NA_Nunu_Jng_Karma(Ratings): pass class NA_Nunu_Jng_Karthus(Ratings): pass class NA_Nunu_Jng_Kassadin(Ratings): pass class NA_Nunu_Jng_Katarina(Ratings): pass class NA_Nunu_Jng_Kayle(Ratings): pass class NA_Nunu_Jng_Kayn(Ratings): pass class NA_Nunu_Jng_Kennen(Ratings): pass class NA_Nunu_Jng_Khazix(Ratings): pass class NA_Nunu_Jng_Kindred(Ratings): pass class NA_Nunu_Jng_Kled(Ratings): pass class NA_Nunu_Jng_KogMaw(Ratings): pass class NA_Nunu_Jng_Leblanc(Ratings): pass class NA_Nunu_Jng_LeeSin(Ratings): pass class NA_Nunu_Jng_Leona(Ratings): pass class NA_Nunu_Jng_Lissandra(Ratings): pass class NA_Nunu_Jng_Lucian(Ratings): pass class NA_Nunu_Jng_Lulu(Ratings): pass class NA_Nunu_Jng_Lux(Ratings): pass class NA_Nunu_Jng_Malphite(Ratings): pass class NA_Nunu_Jng_Malzahar(Ratings): pass class NA_Nunu_Jng_Maokai(Ratings): pass class NA_Nunu_Jng_MasterYi(Ratings): pass class NA_Nunu_Jng_MissFortune(Ratings): pass class NA_Nunu_Jng_MonkeyKing(Ratings): pass class NA_Nunu_Jng_Mordekaiser(Ratings): pass class NA_Nunu_Jng_Morgana(Ratings): pass class NA_Nunu_Jng_Nami(Ratings): pass class NA_Nunu_Jng_Nasus(Ratings): pass class NA_Nunu_Jng_Nautilus(Ratings): pass class NA_Nunu_Jng_Nidalee(Ratings): pass class NA_Nunu_Jng_Nocturne(Ratings): pass class NA_Nunu_Jng_Nunu(Ratings): pass class NA_Nunu_Jng_Olaf(Ratings): pass class NA_Nunu_Jng_Orianna(Ratings): pass class NA_Nunu_Jng_Ornn(Ratings): pass class NA_Nunu_Jng_Pantheon(Ratings): pass class NA_Nunu_Jng_Poppy(Ratings): pass class NA_Nunu_Jng_Quinn(Ratings): pass class NA_Nunu_Jng_Rakan(Ratings): pass class NA_Nunu_Jng_Rammus(Ratings): pass class NA_Nunu_Jng_RekSai(Ratings): pass class NA_Nunu_Jng_Renekton(Ratings): pass class NA_Nunu_Jng_Rengar(Ratings): pass class NA_Nunu_Jng_Riven(Ratings): pass class NA_Nunu_Jng_Rumble(Ratings): pass class NA_Nunu_Jng_Ryze(Ratings): pass class NA_Nunu_Jng_Sejuani(Ratings): pass class NA_Nunu_Jng_Shaco(Ratings): pass class NA_Nunu_Jng_Shen(Ratings): pass class NA_Nunu_Jng_Shyvana(Ratings): pass class NA_Nunu_Jng_Singed(Ratings): pass class NA_Nunu_Jng_Sion(Ratings): pass class NA_Nunu_Jng_Sivir(Ratings): pass class NA_Nunu_Jng_Skarner(Ratings): pass class NA_Nunu_Jng_Sona(Ratings): pass class NA_Nunu_Jng_Soraka(Ratings): pass class NA_Nunu_Jng_Swain(Ratings): pass class NA_Nunu_Jng_Syndra(Ratings): pass class NA_Nunu_Jng_TahmKench(Ratings): pass class NA_Nunu_Jng_Taliyah(Ratings): pass class NA_Nunu_Jng_Talon(Ratings): pass class NA_Nunu_Jng_Taric(Ratings): pass class NA_Nunu_Jng_Teemo(Ratings): pass class NA_Nunu_Jng_Thresh(Ratings): pass class NA_Nunu_Jng_Tristana(Ratings): pass class NA_Nunu_Jng_Trundle(Ratings): pass class NA_Nunu_Jng_Tryndamere(Ratings): pass class NA_Nunu_Jng_TwistedFate(Ratings): pass class NA_Nunu_Jng_Twitch(Ratings): pass class NA_Nunu_Jng_Udyr(Ratings): pass class NA_Nunu_Jng_Urgot(Ratings): pass class NA_Nunu_Jng_Varus(Ratings): pass class NA_Nunu_Jng_Vayne(Ratings): pass class NA_Nunu_Jng_Veigar(Ratings): pass class NA_Nunu_Jng_Velkoz(Ratings): pass class NA_Nunu_Jng_Vi(Ratings): pass class NA_Nunu_Jng_Viktor(Ratings): pass class NA_Nunu_Jng_Vladimir(Ratings): pass class NA_Nunu_Jng_Volibear(Ratings): pass class NA_Nunu_Jng_Warwick(Ratings): pass class NA_Nunu_Jng_Xayah(Ratings): pass class NA_Nunu_Jng_Xerath(Ratings): pass class NA_Nunu_Jng_XinZhao(Ratings): pass class NA_Nunu_Jng_Yasuo(Ratings): pass class NA_Nunu_Jng_Yorick(Ratings): pass class NA_Nunu_Jng_Zac(Ratings): pass class NA_Nunu_Jng_Zed(Ratings): pass class NA_Nunu_Jng_Ziggs(Ratings): pass class NA_Nunu_Jng_Zilean(Ratings): pass class NA_Nunu_Jng_Zyra(Ratings): pass

15.033573

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6,269

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true

0.498195

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null

1

0

1

0

null

0

1

0

1

0

7

d9f724861cd9371bc40adbb1b68395da714a3792

26,041

py

Python

pybind/nos/v7_1_0/rbridge_id/snmp_server/v3host/__init__.py

shivharis/pybind

4e1c6d54b9fd722ccec25546ba2413d79ce337e6

[ "Apache-2.0" ]

null

pybind/nos/v7_1_0/rbridge_id/snmp_server/v3host/__init__.py

shivharis/pybind

4e1c6d54b9fd722ccec25546ba2413d79ce337e6

[ "Apache-2.0" ]

null

pybind/nos/v7_1_0/rbridge_id/snmp_server/v3host/__init__.py

shivharis/pybind

4e1c6d54b9fd722ccec25546ba2413d79ce337e6

[ "Apache-2.0" ]

1

2021-11-05T22:15:42.000Z

from operator import attrgetter import pyangbind.lib.xpathhelper as xpathhelper from pyangbind.lib.yangtypes import RestrictedPrecisionDecimalType, RestrictedClassType, TypedListType from pyangbind.lib.yangtypes import YANGBool, YANGListType, YANGDynClass, ReferenceType from pyangbind.lib.base import PybindBase from decimal import Decimal from bitarray import bitarray import __builtin__ class v3host(PybindBase): """ This class was auto-generated by the PythonClass plugin for PYANG from YANG module brocade-rbridge - based on the path /rbridge-id/snmp-server/v3host. Each member element of the container is represented as a class variable - with a specific YANG type. """ __slots__ = ('_pybind_generated_by', '_path_helper', '_yang_name', '_rest_name', '_extmethods', '__hostip','__username','__udp_port','__notifytype','__engineid','__severity_level',) _yang_name = 'v3host' _rest_name = 'v3host' _pybind_generated_by = 'container' def __init__(self, *args, **kwargs): path_helper_ = kwargs.pop("path_helper", None) if path_helper_ is False: self._path_helper = False elif path_helper_ is not None and isinstance(path_helper_, xpathhelper.YANGPathHelper): self._path_helper = path_helper_ elif hasattr(self, "_parent"): path_helper_ = getattr(self._parent, "_path_helper", False) self._path_helper = path_helper_ else: self._path_helper = False extmethods = kwargs.pop("extmethods", None) if extmethods is False: self._extmethods = False elif extmethods is not None and isinstance(extmethods, dict): self._extmethods = extmethods elif hasattr(self, "_parent"): extmethods = getattr(self._parent, "_extmethods", None) self._extmethods = extmethods else: self._extmethods = False self.__username = YANGDynClass(base=unicode, is_leaf=True, yang_name="username", rest_name="username", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Username associated with notification type.'}}, is_keyval=True, namespace='urn:brocade.com:mgmt:brocade-snmp', defining_module='brocade-snmp', yang_type='string', is_config=True) self.__severity_level = YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_type="dict_key", restriction_arg={u'Info': {}, u'None': {}, u'Warning': {}, u'Critical': {}, u'Error': {}, u'Debug': {}},), default=unicode("None"), is_leaf=True, yang_name="severity-level", rest_name="severity-level", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Severity level associated with traps'}}, namespace='urn:brocade.com:mgmt:brocade-snmp', defining_module='brocade-snmp', yang_type='sev-level', is_config=True) self.__udp_port = YANGDynClass(base=RestrictedClassType(base_type=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), restriction_dict={'range': [u'0 .. 65535']}), default=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32)(162), is_leaf=True, yang_name="udp-port", rest_name="udp-port", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Port number used to send notifications.\n(Default=162)'}}, namespace='urn:brocade.com:mgmt:brocade-snmp', defining_module='brocade-snmp', yang_type='host-port', is_config=True) self.__notifytype = YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_type="dict_key", restriction_arg={u'informs': {'value': 1}, u'traps': {'value': 0}},), default=unicode("traps"), is_leaf=True, yang_name="notifytype", rest_name="notifytype", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Type of notification sent to host.\n(Default=traps)'}}, namespace='urn:brocade.com:mgmt:brocade-snmp', defining_module='brocade-snmp', yang_type='enumeration', is_config=True) self.__hostip = YANGDynClass(base=[RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?'}),RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'((:|[0-9a-fA-F]{0,4}):)([0-9a-fA-F]{0,4}:){0,5}((([0-9a-fA-F]{0,4}:)?(:|[0-9a-fA-F]{0,4}))|(((25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])\\.){3}(25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])))(%[\\p{N}\\p{L}]+)?'}),RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'((([a-zA-Z0-9_]([a-zA-Z0-9\\-_]){0,61})?[a-zA-Z0-9]\\.)*([a-zA-Z0-9_]([a-zA-Z0-9\\-_]){0,61})?[a-zA-Z0-9]\\.?)|\\.', 'length': [u'1..253']}),], is_leaf=True, yang_name="hostip", rest_name="hostip", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'ipv4/ipv6/dns address of the notification recipient\nassociated with username. Notifications\nwill be sent to this host'}}, is_keyval=True, namespace='urn:brocade.com:mgmt:brocade-snmp', defining_module='brocade-snmp', yang_type='inet:host', is_config=True) self.__engineid = YANGDynClass(base=unicode, default=unicode("00:00:00:00:00:00:00:00:00"), is_leaf=True, yang_name="engineid", rest_name="engineid", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u"Manager's (Remote) engine Id."}}, namespace='urn:brocade.com:mgmt:brocade-snmp', defining_module='brocade-snmp', yang_type='string', is_config=True) load = kwargs.pop("load", None) if args: if len(args) > 1: raise TypeError("cannot create a YANG container with >1 argument") all_attr = True for e in self._pyangbind_elements: if not hasattr(args[0], e): all_attr = False break if not all_attr: raise ValueError("Supplied object did not have the correct attributes") for e in self._pyangbind_elements: nobj = getattr(args[0], e) if nobj._changed() is False: continue setmethod = getattr(self, "_set_%s" % e) if load is None: setmethod(getattr(args[0], e)) else: setmethod(getattr(args[0], e), load=load) def _path(self): if hasattr(self, "_parent"): return self._parent._path()+[self._yang_name] else: return [u'rbridge-id', u'snmp-server', u'v3host'] def _rest_path(self): if hasattr(self, "_parent"): if self._rest_name: return self._parent._rest_path()+[self._rest_name] else: return self._parent._rest_path() else: return [u'rbridge-id', u'snmp-server', u'v3host'] def _get_hostip(self): """ Getter method for hostip, mapped from YANG variable /rbridge_id/snmp_server/v3host/hostip (inet:host) """ return self.__hostip def _set_hostip(self, v, load=False): """ Setter method for hostip, mapped from YANG variable /rbridge_id/snmp_server/v3host/hostip (inet:host) If this variable is read-only (config: false) in the source YANG file, then _set_hostip is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_hostip() directly. """ parent = getattr(self, "_parent", None) if parent is not None and load is False: raise AttributeError("Cannot set keys directly when" + " within an instantiated list") if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=[RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?'}),RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'((:|[0-9a-fA-F]{0,4}):)([0-9a-fA-F]{0,4}:){0,5}((([0-9a-fA-F]{0,4}:)?(:|[0-9a-fA-F]{0,4}))|(((25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])\\.){3}(25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])))(%[\\p{N}\\p{L}]+)?'}),RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'((([a-zA-Z0-9_]([a-zA-Z0-9\\-_]){0,61})?[a-zA-Z0-9]\\.)*([a-zA-Z0-9_]([a-zA-Z0-9\\-_]){0,61})?[a-zA-Z0-9]\\.?)|\\.', 'length': [u'1..253']}),], is_leaf=True, yang_name="hostip", rest_name="hostip", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'ipv4/ipv6/dns address of the notification recipient\nassociated with username. Notifications\nwill be sent to this host'}}, is_keyval=True, namespace='urn:brocade.com:mgmt:brocade-snmp', defining_module='brocade-snmp', yang_type='inet:host', is_config=True) except (TypeError, ValueError): raise ValueError({ 'error-string': """hostip must be of a type compatible with inet:host""", 'defined-type': "inet:host", 'generated-type': """YANGDynClass(base=[RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?'}),RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'((:|[0-9a-fA-F]{0,4}):)([0-9a-fA-F]{0,4}:){0,5}((([0-9a-fA-F]{0,4}:)?(:|[0-9a-fA-F]{0,4}))|(((25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])\\.){3}(25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])))(%[\\p{N}\\p{L}]+)?'}),RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'((([a-zA-Z0-9_]([a-zA-Z0-9\\-_]){0,61})?[a-zA-Z0-9]\\.)*([a-zA-Z0-9_]([a-zA-Z0-9\\-_]){0,61})?[a-zA-Z0-9]\\.?)|\\.', 'length': [u'1..253']}),], is_leaf=True, yang_name="hostip", rest_name="hostip", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'ipv4/ipv6/dns address of the notification recipient\nassociated with username. Notifications\nwill be sent to this host'}}, is_keyval=True, namespace='urn:brocade.com:mgmt:brocade-snmp', defining_module='brocade-snmp', yang_type='inet:host', is_config=True)""", }) self.__hostip = t if hasattr(self, '_set'): self._set() def _unset_hostip(self): self.__hostip = YANGDynClass(base=[RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?'}),RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'((:|[0-9a-fA-F]{0,4}):)([0-9a-fA-F]{0,4}:){0,5}((([0-9a-fA-F]{0,4}:)?(:|[0-9a-fA-F]{0,4}))|(((25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])\\.){3}(25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])))(%[\\p{N}\\p{L}]+)?'}),RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'((([a-zA-Z0-9_]([a-zA-Z0-9\\-_]){0,61})?[a-zA-Z0-9]\\.)*([a-zA-Z0-9_]([a-zA-Z0-9\\-_]){0,61})?[a-zA-Z0-9]\\.?)|\\.', 'length': [u'1..253']}),], is_leaf=True, yang_name="hostip", rest_name="hostip", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'ipv4/ipv6/dns address of the notification recipient\nassociated with username. Notifications\nwill be sent to this host'}}, is_keyval=True, namespace='urn:brocade.com:mgmt:brocade-snmp', defining_module='brocade-snmp', yang_type='inet:host', is_config=True) def _get_username(self): """ Getter method for username, mapped from YANG variable /rbridge_id/snmp_server/v3host/username (string) """ return self.__username def _set_username(self, v, load=False): """ Setter method for username, mapped from YANG variable /rbridge_id/snmp_server/v3host/username (string) If this variable is read-only (config: false) in the source YANG file, then _set_username is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_username() directly. """ parent = getattr(self, "_parent", None) if parent is not None and load is False: raise AttributeError("Cannot set keys directly when" + " within an instantiated list") if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=unicode, is_leaf=True, yang_name="username", rest_name="username", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Username associated with notification type.'}}, is_keyval=True, namespace='urn:brocade.com:mgmt:brocade-snmp', defining_module='brocade-snmp', yang_type='string', is_config=True) except (TypeError, ValueError): raise ValueError({ 'error-string': """username must be of a type compatible with string""", 'defined-type': "string", 'generated-type': """YANGDynClass(base=unicode, is_leaf=True, yang_name="username", rest_name="username", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Username associated with notification type.'}}, is_keyval=True, namespace='urn:brocade.com:mgmt:brocade-snmp', defining_module='brocade-snmp', yang_type='string', is_config=True)""", }) self.__username = t if hasattr(self, '_set'): self._set() def _unset_username(self): self.__username = YANGDynClass(base=unicode, is_leaf=True, yang_name="username", rest_name="username", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Username associated with notification type.'}}, is_keyval=True, namespace='urn:brocade.com:mgmt:brocade-snmp', defining_module='brocade-snmp', yang_type='string', is_config=True) def _get_udp_port(self): """ Getter method for udp_port, mapped from YANG variable /rbridge_id/snmp_server/v3host/udp_port (host-port) """ return self.__udp_port def _set_udp_port(self, v, load=False): """ Setter method for udp_port, mapped from YANG variable /rbridge_id/snmp_server/v3host/udp_port (host-port) If this variable is read-only (config: false) in the source YANG file, then _set_udp_port is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_udp_port() directly. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=RestrictedClassType(base_type=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), restriction_dict={'range': [u'0 .. 65535']}), default=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32)(162), is_leaf=True, yang_name="udp-port", rest_name="udp-port", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Port number used to send notifications.\n(Default=162)'}}, namespace='urn:brocade.com:mgmt:brocade-snmp', defining_module='brocade-snmp', yang_type='host-port', is_config=True) except (TypeError, ValueError): raise ValueError({ 'error-string': """udp_port must be of a type compatible with host-port""", 'defined-type': "brocade-snmp:host-port", 'generated-type': """YANGDynClass(base=RestrictedClassType(base_type=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), restriction_dict={'range': [u'0 .. 65535']}), default=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32)(162), is_leaf=True, yang_name="udp-port", rest_name="udp-port", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Port number used to send notifications.\n(Default=162)'}}, namespace='urn:brocade.com:mgmt:brocade-snmp', defining_module='brocade-snmp', yang_type='host-port', is_config=True)""", }) self.__udp_port = t if hasattr(self, '_set'): self._set() def _unset_udp_port(self): self.__udp_port = YANGDynClass(base=RestrictedClassType(base_type=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), restriction_dict={'range': [u'0 .. 65535']}), default=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32)(162), is_leaf=True, yang_name="udp-port", rest_name="udp-port", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Port number used to send notifications.\n(Default=162)'}}, namespace='urn:brocade.com:mgmt:brocade-snmp', defining_module='brocade-snmp', yang_type='host-port', is_config=True) def _get_notifytype(self): """ Getter method for notifytype, mapped from YANG variable /rbridge_id/snmp_server/v3host/notifytype (enumeration) """ return self.__notifytype def _set_notifytype(self, v, load=False): """ Setter method for notifytype, mapped from YANG variable /rbridge_id/snmp_server/v3host/notifytype (enumeration) If this variable is read-only (config: false) in the source YANG file, then _set_notifytype is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_notifytype() directly. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=RestrictedClassType(base_type=unicode, restriction_type="dict_key", restriction_arg={u'informs': {'value': 1}, u'traps': {'value': 0}},), default=unicode("traps"), is_leaf=True, yang_name="notifytype", rest_name="notifytype", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Type of notification sent to host.\n(Default=traps)'}}, namespace='urn:brocade.com:mgmt:brocade-snmp', defining_module='brocade-snmp', yang_type='enumeration', is_config=True) except (TypeError, ValueError): raise ValueError({ 'error-string': """notifytype must be of a type compatible with enumeration""", 'defined-type': "brocade-snmp:enumeration", 'generated-type': """YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_type="dict_key", restriction_arg={u'informs': {'value': 1}, u'traps': {'value': 0}},), default=unicode("traps"), is_leaf=True, yang_name="notifytype", rest_name="notifytype", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Type of notification sent to host.\n(Default=traps)'}}, namespace='urn:brocade.com:mgmt:brocade-snmp', defining_module='brocade-snmp', yang_type='enumeration', is_config=True)""", }) self.__notifytype = t if hasattr(self, '_set'): self._set() def _unset_notifytype(self): self.__notifytype = YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_type="dict_key", restriction_arg={u'informs': {'value': 1}, u'traps': {'value': 0}},), default=unicode("traps"), is_leaf=True, yang_name="notifytype", rest_name="notifytype", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Type of notification sent to host.\n(Default=traps)'}}, namespace='urn:brocade.com:mgmt:brocade-snmp', defining_module='brocade-snmp', yang_type='enumeration', is_config=True) def _get_engineid(self): """ Getter method for engineid, mapped from YANG variable /rbridge_id/snmp_server/v3host/engineid (string) """ return self.__engineid def _set_engineid(self, v, load=False): """ Setter method for engineid, mapped from YANG variable /rbridge_id/snmp_server/v3host/engineid (string) If this variable is read-only (config: false) in the source YANG file, then _set_engineid is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_engineid() directly. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=unicode, default=unicode("00:00:00:00:00:00:00:00:00"), is_leaf=True, yang_name="engineid", rest_name="engineid", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u"Manager's (Remote) engine Id."}}, namespace='urn:brocade.com:mgmt:brocade-snmp', defining_module='brocade-snmp', yang_type='string', is_config=True) except (TypeError, ValueError): raise ValueError({ 'error-string': """engineid must be of a type compatible with string""", 'defined-type': "string", 'generated-type': """YANGDynClass(base=unicode, default=unicode("00:00:00:00:00:00:00:00:00"), is_leaf=True, yang_name="engineid", rest_name="engineid", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u"Manager's (Remote) engine Id."}}, namespace='urn:brocade.com:mgmt:brocade-snmp', defining_module='brocade-snmp', yang_type='string', is_config=True)""", }) self.__engineid = t if hasattr(self, '_set'): self._set() def _unset_engineid(self): self.__engineid = YANGDynClass(base=unicode, default=unicode("00:00:00:00:00:00:00:00:00"), is_leaf=True, yang_name="engineid", rest_name="engineid", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u"Manager's (Remote) engine Id."}}, namespace='urn:brocade.com:mgmt:brocade-snmp', defining_module='brocade-snmp', yang_type='string', is_config=True) def _get_severity_level(self): """ Getter method for severity_level, mapped from YANG variable /rbridge_id/snmp_server/v3host/severity_level (sev-level) """ return self.__severity_level def _set_severity_level(self, v, load=False): """ Setter method for severity_level, mapped from YANG variable /rbridge_id/snmp_server/v3host/severity_level (sev-level) If this variable is read-only (config: false) in the source YANG file, then _set_severity_level is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_severity_level() directly. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=RestrictedClassType(base_type=unicode, restriction_type="dict_key", restriction_arg={u'Info': {}, u'None': {}, u'Warning': {}, u'Critical': {}, u'Error': {}, u'Debug': {}},), default=unicode("None"), is_leaf=True, yang_name="severity-level", rest_name="severity-level", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Severity level associated with traps'}}, namespace='urn:brocade.com:mgmt:brocade-snmp', defining_module='brocade-snmp', yang_type='sev-level', is_config=True) except (TypeError, ValueError): raise ValueError({ 'error-string': """severity_level must be of a type compatible with sev-level""", 'defined-type': "brocade-snmp:sev-level", 'generated-type': """YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_type="dict_key", restriction_arg={u'Info': {}, u'None': {}, u'Warning': {}, u'Critical': {}, u'Error': {}, u'Debug': {}},), default=unicode("None"), is_leaf=True, yang_name="severity-level", rest_name="severity-level", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Severity level associated with traps'}}, namespace='urn:brocade.com:mgmt:brocade-snmp', defining_module='brocade-snmp', yang_type='sev-level', is_config=True)""", }) self.__severity_level = t if hasattr(self, '_set'): self._set() def _unset_severity_level(self): self.__severity_level = YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_type="dict_key", restriction_arg={u'Info': {}, u'None': {}, u'Warning': {}, u'Critical': {}, u'Error': {}, u'Debug': {}},), default=unicode("None"), is_leaf=True, yang_name="severity-level", rest_name="severity-level", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Severity level associated with traps'}}, namespace='urn:brocade.com:mgmt:brocade-snmp', defining_module='brocade-snmp', yang_type='sev-level', is_config=True) hostip = __builtin__.property(_get_hostip, _set_hostip) username = __builtin__.property(_get_username, _set_username) udp_port = __builtin__.property(_get_udp_port, _set_udp_port) notifytype = __builtin__.property(_get_notifytype, _set_notifytype) engineid = __builtin__.property(_get_engineid, _set_engineid) severity_level = __builtin__.property(_get_severity_level, _set_severity_level) _pyangbind_elements = {'hostip': hostip, 'username': username, 'udp_port': udp_port, 'notifytype': notifytype, 'engineid': engineid, 'severity_level': severity_level, }

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8a322ce5f2a80fa8482ffcc73161095bdf967ab5

118

py

Python

scribbler/transformation/__init__.py

belosthomas/scribbler

fbd0bfb68cd30ca451b5d616d372b5e96ec0f8be

[ "MIT" ]

5

2018-07-31T20:26:22.000Z

2019-05-07T16:36:23.000Z

scribbler/transformation/__init__.py

belosthomas/scribbler

fbd0bfb68cd30ca451b5d616d372b5e96ec0f8be

[ "MIT" ]

1

2019-05-07T18:21:59.000Z

2020-09-18T10:45:39.000Z

scribbler/transformation/__init__.py

belosthomas/scribbler

fbd0bfb68cd30ca451b5d616d372b5e96ec0f8be

[ "MIT" ]

null

from .abstract_transformation import AbstractTransformation from .phantom_transformation import PhantomTransformation

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8a3641b5c223190adf3510e40531f5e0ec9fbf73

75

py

Python

app/views/api/__init__.py

jameydeorio/DjanGoat

9cdd48474f5fcf577f4d08aa12f65b1a14e4b1b8

[ "MIT" ]

1

2021-06-04T16:07:45.000Z

app/views/api/__init__.py

miguelfreitas93/DjangoGoat

e72c20065a2b30869f40cb6f16e809ef08fb3615

[ "MIT" ]

9

2018-11-18T09:48:30.000Z

2021-08-25T12:54:41.000Z

app/views/api/__init__.py

r0flc0pt4/DjanGoat

7413d8b01aff4046e9bfe4ea91bd193f540fff0b

[ "MIT" ]

1

2019-04-27T04:38:09.000Z

from app.views.api.mobile import urls from app.views.api.users import urls

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