xszheng2020/the_stack_dedup_python_hits_4 · Datasets at Hugging Face

bc61e594c35ca7a3f0ce41719ab4d4a0262a7a78

150

py

Python

code/python/test.py

ngobzin11/floral

40b686690b2fbdb248c33c0cce0c7be3087d62fb

[ "Apache-2.0" ]

null

code/python/test.py

ngobzin11/floral

40b686690b2fbdb248c33c0cce0c7be3087d62fb

[ "Apache-2.0" ]

null

code/python/test.py

ngobzin11/floral

40b686690b2fbdb248c33c0cce0c7be3087d62fb

[ "Apache-2.0" ]

null

x = x + 1 x + + m = m + _some_random_number variable = variable - 1 variable - - variable = variable - value v = round(3.14) v = abs(negative_number)

16.666667

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null

0

1

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4

bc799234efd62b51f5b576c8dc76f6f1d6b9e7c6

211

py

Python

Proyectos/Operaciones Basicas.py

YojansCid/Proyectos-Python

94a7212780c5109bc5543fd492f892875accea0d

[ "MIT" ]

null

Proyectos/Operaciones Basicas.py

YojansCid/Proyectos-Python

94a7212780c5109bc5543fd492f892875accea0d

[ "MIT" ]

null

Proyectos/Operaciones Basicas.py

YojansCid/Proyectos-Python

94a7212780c5109bc5543fd492f892875accea0d

[ "MIT" ]

null

#suma de dos digitos print(1+2) #multiplicacion de dos digitos print (3*4) #division de dos digitos print(3/2) #division estricta, sin decimales, de dos digitos print(81//2) #Potencia de un digito print(3**2)

16.230769

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0.739336

38

211

4.105263

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0.307692

0.435897

0.230769

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0.146919

211

12

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null

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null

0

1

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1

0

4

bc90c39b9980c5624f1d2ba765e2054b5bfd60c1

18

py

Python

utils/__init__.py

uplsh580/tiny_tools

ab1fdf51e21e22ac825073dac3e625b204614c5b

[ "MIT" ]

14

2021-02-19T02:33:41.000Z

2022-02-23T02:46:16.000Z

utils/__init__.py

uplsh580/tiny_tools

ab1fdf51e21e22ac825073dac3e625b204614c5b

[ "MIT" ]

null

utils/__init__.py

uplsh580/tiny_tools

ab1fdf51e21e22ac825073dac3e625b204614c5b

[ "MIT" ]

1

2021-03-01T01:54:30.000Z

__all__ = ["col"]

9

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null

0

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1

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null

0

4

bcafcf79e08e813b1b89cd60dcafc1103a061d12

150

py

Python

node/core/custom_djongo/features.py

thenewboston-developers/Node

e71a405f4867786a54dd17ddd97595dd3a630018

[ "MIT" ]

18

2021-11-30T04:02:13.000Z

2022-03-24T12:33:57.000Z

node/core/custom_djongo/features.py

thenewboston-developers/Node

e71a405f4867786a54dd17ddd97595dd3a630018

[ "MIT" ]

1

2022-02-04T17:07:38.000Z

node/core/custom_djongo/features.py

thenewboston-developers/Node

e71a405f4867786a54dd17ddd97595dd3a630018

[ "MIT" ]

5

2022-01-31T05:28:13.000Z

2022-03-08T17:25:31.000Z

from djongo.features import DatabaseFeatures as BaseDatabaseFeatures class DatabaseFeatures(BaseDatabaseFeatures): supports_transactions = True

25

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0.113333

150

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4

bccae0a22e1d71771e7c7f126936fd5528fff405

51

py

Python

samples/lint/__init__.py

btrekkie/file-builder

e85726ed647ad7a73839c7410618ef3f118c96c9

[ "MIT" ]

1

2020-05-29T17:13:26.000Z

samples/lint/__init__.py

btrekkie/file-builder

e85726ed647ad7a73839c7410618ef3f118c96c9

[ "MIT" ]

4

2021-06-14T18:42:55.000Z

2022-03-27T13:36:54.000Z

samples/lint/__init__.py

btrekkie/file-builder

e85726ed647ad7a73839c7410618ef3f118c96c9

[ "MIT" ]

null

from .lint import lint_dir __all__ = ['lint_dir']

12.75

26

0.72549

8

51

3.875

0.625

0.451613

0

0.156863

51

3

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null

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1

0

4

4c04677ff4d692e21ec7c0ffc0d88b443a00d218

29

py

Python

tests/__init__.py

michelkok/dicomtrolley

e20def0fc6f3ee132368a168e07ed3c17c5431fe

[ "Apache-2.0" ]

2

2021-05-11T10:50:08.000Z

2022-03-22T20:45:06.000Z

tests/__init__.py

michelkok/dicomtrolley

e20def0fc6f3ee132368a168e07ed3c17c5431fe

[ "Apache-2.0" ]

5

2021-03-18T14:06:08.000Z

2022-03-29T13:25:04.000Z

tests/__init__.py

michelkok/dicomtrolley

e20def0fc6f3ee132368a168e07ed3c17c5431fe

[ "Apache-2.0" ]

3

2021-03-15T02:06:37.000Z

2021-09-27T12:55:39.000Z

"""Tests for dicomtrolley"""

14.5

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0.769231

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null

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true

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1

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null

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0

4

4c08f36b0f40760b5a46fa9ddbbffca4bcd72c0f

62,082

py

Python

tests/pinball/tools/workflow_util_test.py

Betterment/pinball

11120b54fcc25b2857631a5de65a1195ffcffb5c

[ "Apache-2.0" ]

null

tests/pinball/tools/workflow_util_test.py

Betterment/pinball

11120b54fcc25b2857631a5de65a1195ffcffb5c

[ "Apache-2.0" ]

4

2020-08-31T18:11:54.000Z

2021-06-10T23:18:45.000Z

tests/pinball/tools/workflow_util_test.py

Betterment/pinball

11120b54fcc25b2857631a5de65a1195ffcffb5c

[ "Apache-2.0" ]

null

# Copyright 2015, Pinterest, Inc. # # 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. """Validation tests for workflow_util tool.""" import collections import copy import mock import pickle import sys import unittest from pinball.config.pinball_config import PinballConfig from pinball.master.thrift_lib.ttypes import GroupRequest from pinball.master.thrift_lib.ttypes import GroupResponse from pinball.master.thrift_lib.ttypes import ModifyRequest from pinball.master.thrift_lib.ttypes import ModifyResponse from pinball.master.thrift_lib.ttypes import Query from pinball.master.thrift_lib.ttypes import QueryAndOwnRequest from pinball.master.thrift_lib.ttypes import QueryAndOwnResponse from pinball.master.thrift_lib.ttypes import QueryRequest from pinball.master.thrift_lib.ttypes import QueryResponse from pinball.master.thrift_lib.ttypes import Token from pinball.scheduler.schedule import WorkflowSchedule from pinball.tools.workflow_util import Abort from pinball.tools.workflow_util import Cleanup from pinball.tools.workflow_util import Disable from pinball.tools.workflow_util import Drain from pinball.tools.workflow_util import Enable from pinball.tools.workflow_util import Exit from pinball.tools.workflow_util import Pause from pinball.tools.workflow_util import Poison from pinball.tools.workflow_util import RebuildCache from pinball.tools.workflow_util import Redo from pinball.tools.workflow_util import Reload from pinball.tools.workflow_util import ReSchedule from pinball.tools.workflow_util import Retry from pinball.tools.workflow_util import Resume from pinball.tools.workflow_util import Start from pinball.tools.workflow_util import Stop from pinball.tools.workflow_util import UnAbort from pinball.tools.workflow_util import UnDrain from pinball.tools.workflow_util import UnExit from pinball.tools.workflow_util import UnSchedule from pinball.ui.data import Status from pinball.ui.data import WorkflowData from pinball.ui.data import WorkflowInstanceData from pinball.workflow.event import Event from pinball.workflow.job import ShellJob from pinball.workflow.job_executor import ExecutionRecord from pinball.workflow.signaller import Signal __author__ = 'Pawel Garbacki, Mao Ye' __copyright__ = 'Copyright 2015, Pinterest, Inc.' __credits__ = ['Pawel Garbacki', 'Mao Ye'] __license__ = 'Apache' __version__ = '2.0' def _cmp_job_tokens(test, job_token1, job_token2): token1 = copy.copy(job_token1) token2 = copy.copy(job_token2) job1 = pickle.loads(token1.data) job2 = pickle.loads(token2.data) test.assertEqual(str(job1), str(job2)) token1.data = None token2.data = None test.assertEqual(token1, token2) class StartTestCase(unittest.TestCase): @mock.patch('pinball.tools.workflow_util.load_path') @mock.patch('pinball.tools.workflow_util._check_workflow_instances') def test_start_non_existent(self, check_workflow_instances_mock, load_path_mock): Options = collections.namedtuple('args', 'workflow') options = Options(workflow='does_not_exist') PinballConfig.PARSER_PARAMS = {'key': 'value'} command = Start() command.prepare(options) check_workflow_instances_mock.return_value = True config_parser = mock.Mock() def load_path(params): self.assertEqual(['key'], params.keys()) return config_parser load_path_mock.return_value = load_path config_parser.get_workflow_tokens.return_value = None client = mock.Mock() output = command.execute(client, None) self.assertEqual('workflow does_not_exist not found in %s\n' % str(PinballConfig.PARSER_PARAMS), output) @mock.patch('pinball.tools.workflow_util.load_path') @mock.patch('pinball.tools.workflow_util._check_workflow_instances') def test_start_workflow(self, check_workflow_instance_mock, load_path_mock): Options = collections.namedtuple('args', 'workflow') options = Options(workflow='some_workflow') PinballConfig.PARSER_PARAMS = {'key': 'value'} command = Start() command.prepare(options) check_workflow_instance_mock.return_value = True config_parser = mock.Mock() def load_path(params): self.assertEqual(['key'], params.keys()) return config_parser load_path_mock.return_value = load_path job_token = Token( name='/workflow/some_workflow/123/job/waiting/some_job', data='some_data') event_token = Token(name=('/workflow/some_workflow/123/input/some_job/' '__WORKFLOW_START__'), data='some_data') config_parser.get_workflow_tokens.return_value = [job_token, event_token] client = mock.Mock() output = command.execute(client, None) config_parser.get_workflow_tokens.assert_called_once_with( 'some_workflow') self.assertEqual('exported workflow some_workflow instance 123. ' 'Its tokens are under ' '/workflow/some_workflow/123/', output) class StopTestCase(unittest.TestCase): def test_stop_non_existent(self): Options = collections.namedtuple('args', 'workflow, instance, force') options = Options(workflow='does_not_exist', instance='123', force=True) command = Stop() command.prepare(options) response = QueryResponse(tokens=[[]]) client = mock.Mock() client.query.return_value = response output = command.execute(client, None) query = Query(namePrefix='/workflow/does_not_exist/123/') query_request = QueryRequest(queries=[query]) client.query.assert_called_once_with(query_request) self.assertEqual('workflow does_not_exist instance 123 not found\n', output) def test_stop_workflow(self): Options = collections.namedtuple('args', 'workflow, instance, force') options = Options(workflow='some_workflow', instance='123', force=True) command = Stop() command.prepare(options) token = Token(version=1234567, name='/workflow/some_workflow/123/job/waiting/some_job', data='some_data') query_response = QueryResponse(tokens=[[token]]) client = mock.Mock() client.query.return_value = query_response client.modify.return_value = ModifyResponse() output = command.execute(client, None) query = Query(namePrefix='/workflow/some_workflow/123/') query_request = QueryRequest(queries=[query]) client.query.assert_called_once_with(query_request) modify_request = ModifyRequest(deletes=[token]) client.modify.assert_called_once_with(modify_request) self.assertEqual('removed 1 token(s) in 1 tries\n', output) class PauseTestCase(unittest.TestCase): def test_pause_non_existent(self): Options = collections.namedtuple('args', 'workflow, instance, force') options = Options(workflow='does_not_exist', instance='123', force=True) command = Pause() command.prepare(options) response = QueryResponse(tokens=[[]]) client = mock.Mock() client.query.return_value = response output = command.execute(client, None) query = Query(namePrefix='/workflow/does_not_exist/123/') query_request = QueryRequest(queries=[query]) client.query.assert_called_once_with(query_request) self.assertEqual('workflow does_not_exist instance 123 not found\n', output) def test_pause_workflow(self): Options = collections.namedtuple('args', 'workflow, instance, force') options = Options(workflow='some_workflow', instance='123', force=True) command = Pause() command.prepare(options) token = Token(version=1234567, name='/workflow/some_workflow/123/job/waiting/some_job', data='some_data') original_token = copy.copy(token) query_response = QueryResponse(tokens=[[token]]) client = mock.Mock() client.query.return_value = query_response client.modify.return_value = ModifyResponse() output = command.execute(client, None) query = Query(namePrefix='/workflow/some_workflow/123/') query_request = QueryRequest(queries=[query]) client.query.assert_called_once_with(query_request) client.modify.assert_called_once() modify_request = client.modify.call_args[0][0] self.assertEqual(1, len(modify_request.updates)) owned_token = modify_request.updates[0] self.assertEqual(owned_token.name, original_token.name) self.assertEqual(owned_token.version, original_token.version) self.assertTrue(owned_token.owner.startswith('workflow_util')) self.assertEqual(sys.maxint, owned_token.expirationTime) self.assertEqual('claimed 1 token(s) in 1 tries\n', output) class ResumeTestCase(unittest.TestCase): def test_resume_non_existent(self): Options = collections.namedtuple('args', 'workflow, instance, force') options = Options(workflow='does_not_exist', instance='123', force=True) command = Resume() command.prepare(options) response = QueryResponse(tokens=[[]]) client = mock.Mock() client.query.return_value = response output = command.execute(client, None) query = Query(namePrefix='/workflow/does_not_exist/123/') query_request = QueryRequest(queries=[query]) client.query.assert_called_once_with(query_request) self.assertEqual('workflow does_not_exist instance 123 not found\n', output) def test_resume_workflow(self): Options = collections.namedtuple('args', 'workflow, instance, force') options = Options(workflow='some_workflow', instance='123', force=True) command = Resume() command.prepare(options) token = Token(version=1234567, name='/workflow/some_workflow/123/job/waiting/some_job', data='some_data', owner='some_owner', expirationTime=sys.maxint) query_response = QueryResponse(tokens=[[token]]) client = mock.Mock() client.query.return_value = query_response client.modify.return_value = ModifyResponse() output = command.execute(client, None) query = Query(namePrefix='/workflow/some_workflow/123/') query_request = QueryRequest(queries=[query]) client.query.assert_called_once_with(query_request) updated_token = copy.copy(token) updated_token.owner = None updated_token.expirationTime = None modify_request = ModifyRequest(updates=[updated_token]) client.modify.assert_called_once_with(modify_request) self.assertEqual('released ownership of 1 token(s)\n', output) class RetryTestCase(unittest.TestCase): def setUp(self): self._signal_token = Token( name='/workflow/some_workflow/123/__SIGNAL__/ARCHIVE') succeeded_job = ShellJob() succeeded_job.history = [ExecutionRecord(exit_code=0)] self._succeeded_job_token = Token( name='/workflow/some_workflow/123/job/waiting/succeeded', data=pickle.dumps(succeeded_job)) failed_job = ShellJob() failed_job.history = [ExecutionRecord(exit_code=1)] self._failed_job_token = Token( name='/workflow/some_workflow/123/job/waiting/failed', priority=10, data=pickle.dumps(failed_job)) @mock.patch('pinball.tools.workflow_util._check_workflow_instances') def test_retry_non_existent(self, check_workflow_instances_mock): Options = collections.namedtuple('args', 'workflow, instance, force') options = Options(workflow='does_not_exist', instance='123', force=True) command = Retry() command.prepare(options) response = GroupResponse() client = mock.Mock() client.group.return_value = response check_workflow_instances_mock.return_value = True store = mock.Mock() store.read_archived_tokens.return_value = [] output = command.execute(client, store) group_request = GroupRequest( namePrefix='/workflow/does_not_exist/123/job/', groupSuffix='/') client.group.assert_called_once_with(group_request) self.assertEqual('workflow does_not_exist instance 123 not found\n', output) @mock.patch('pinball.tools.workflow_util._check_workflow_instances') def test_retry_active_workflow(self, check_workflow_instances_mock): Options = collections.namedtuple('args', 'workflow, instance, force') options = Options(workflow='some_workflow', instance='123', force=True) command = Retry() command.prepare(options) check_workflow_instances_mock.return_value = True client = mock.Mock() group_response = GroupResponse( counts={'/workflow/some_workflow/123/job': 2}) client.group.return_value = group_response query_response = QueryResponse(tokens=[ [self._signal_token], [self._succeeded_job_token, self._failed_job_token]]) client.query.return_value = query_response modify_response = ModifyResponse(updates=[self._failed_job_token]) client.modify.return_value = modify_response def side_effect(request): self.assertEqual([self._signal_token, self._failed_job_token], request.deletes) failed_job_token = copy.copy(self._failed_job_token) failed_job_token.name = ( '/workflow/some_workflow/123/job/runnable/failed') self.assertEqual(1, len(request.updates)) _cmp_job_tokens(self, failed_job_token, request.updates[0]) # self.assertEqual(failed_job_token, request.updates[0]) client.modify.side_effect = side_effect output = command.execute(client, None) group_request = GroupRequest( namePrefix='/workflow/some_workflow/123/job/', groupSuffix='/') client.group.assert_called_once_with(group_request) signal_query = Query( namePrefix='/workflow/some_workflow/123/__SIGNAL__/ARCHIVE') job_query = Query( namePrefix='/workflow/some_workflow/123/job/waiting/') query_request = QueryRequest(queries=[signal_query, job_query]) client.query.assert_called_once_with(query_request) self.assertEqual('retried 1 job(s) in workflow some_workflow instance ' '123\n', output) @mock.patch('pinball.tools.workflow_util.' 'get_unique_workflow_instance') @mock.patch('pinball.tools.workflow_util._check_workflow_instances') def test_retry_archived_workflow(self, check_workflow_instances_mock, get_unique_workflow_instance_mock): Options = collections.namedtuple('args', 'workflow, instance, force') options = Options(workflow='some_workflow', instance='123', force=True) command = Retry() command.prepare(options) client = mock.Mock() group_response = GroupResponse() client.group.return_value = group_response check_workflow_instances_mock.return_value = True get_unique_workflow_instance_mock.return_value = '321' store = mock.Mock() store.read_archived_tokens.return_value = [self._signal_token, self._succeeded_job_token, self._failed_job_token] succeeded_job_token = copy.copy(self._succeeded_job_token) succeeded_job_token.name = ( '/workflow/some_workflow/123/job/waiting/succeeded') failed_job_token = copy.copy(self._failed_job_token) failed_job_token.name = ( '/workflow/some_workflow/123/job/runnable/failed') modify_response = ModifyResponse(updates=[succeeded_job_token, failed_job_token]) client.modify.return_value = modify_response output = command.execute(client, store) group_request = GroupRequest( namePrefix='/workflow/some_workflow/123/job/', groupSuffix='/') client.group.assert_called_once_with(group_request) store.read_archived_tokens.assert_called_once_with( name_prefix='/workflow/some_workflow/123/') succeeded_job_token.name = ( '/workflow/some_workflow/321/job/waiting/succeeded') failed_job_token = copy.copy(self._failed_job_token) failed_job_token.name = ( '/workflow/some_workflow/321/job/runnable/failed') modify_request = ModifyRequest(updates=[succeeded_job_token, failed_job_token]) client.modify.assert_called_once_with(modify_request) self.assertEqual('retried workflow some_workflow instance 123. Its ' 'tokens are under /workflow/some_workflow/321/\n', output) class RedoTestCase(unittest.TestCase): @mock.patch('pinball.tools.workflow_util.get_unique_name') @mock.patch('time.time') def test_redo_non_existent(self, time_mock, get_unique_name_mock): get_unique_name_mock.return_value = 'some_owner' time_mock.return_value = 10 Options = collections.namedtuple('args', 'workflow, instance, jobs, ' 'execution, force') options = Options(workflow='does_not_exist', instance='123', jobs='some_job', execution='1', force=True) command = Redo() command.prepare(options) response = QueryAndOwnResponse() client = mock.Mock() client.query_and_own.return_value = response output = command.execute(client, None) query = Query( namePrefix='/workflow/does_not_exist/123/job/waiting/some_job') request = QueryAndOwnRequest(owner='some_owner', expirationTime=(10 + 60), query=query) client.query_and_own.assert_called_once_with(request) self.assertEqual('workflow must be running, the job must be finished ' 'and it cannot be runnable', output) @staticmethod def _get_waiting_job_token(): job = ShellJob() execution_record_with_events = ExecutionRecord() execution_record_with_events.events = [Event()] job.history = [ExecutionRecord(), execution_record_with_events] return Token( name='/workflow/some_workflow/123/job/waiting/some_job', data=pickle.dumps(job)) @staticmethod def _get_runnable_job_token(waiting_job_token): job = pickle.loads(waiting_job_token.data) job.events = job.history[1].events return Token(name='/workflow/some_workflow/123/job/runnable/some_job', data=pickle.dumps(job)) @mock.patch('pinball.tools.workflow_util.get_unique_name') @mock.patch('time.time') def test_redo(self, time_mock, get_unique_name_mock): get_unique_name_mock.return_value = 'some_owner' time_mock.return_value = 10 Options = collections.namedtuple('args', 'workflow, instance, jobs, ' 'execution, force') options = Options(workflow='some_workflow', instance='123', jobs='some_job', execution='1', force=True) command = Redo() command.prepare(options) client = mock.Mock() waiting_job = RedoTestCase._get_waiting_job_token() query_and_own_response = QueryAndOwnResponse(tokens=[waiting_job]) client.query_and_own.return_value = query_and_own_response runnable_job = RedoTestCase._get_runnable_job_token(waiting_job) modify_response = ModifyResponse(updates=[runnable_job]) client.modify.return_value = modify_response output = command.execute(client, None) query = Query( namePrefix='/workflow/some_workflow/123/job/waiting/some_job') query_and_own_request = QueryAndOwnRequest( owner='some_owner', expirationTime=(10 + 60), query=query) client.query_and_own.assert_called_once_with(query_and_own_request) modify_request = ModifyRequest(updates=[runnable_job], deletes=[waiting_job]) client.modify.assert_called_once_with(modify_request) self.assertEqual('redoing execution 1 of job some_job in workflow ' 'some_workflow instance 123\n', output) class PoisonTestCase(unittest.TestCase): def setUp(self): self._signal_token = Token( name='/workflow/some_workflow/123/__SIGNAL__/ARCHIVE') parent_job = ShellJob(name='parent', inputs=['__WORKFLOW_START__'], outputs=['child']) self._parent_job_token = Token( name='/workflow/some_workflow/123/job/waiting/parent', data=pickle.dumps(parent_job)) child_job = ShellJob(name='child', inputs=['parent']) self._child_job_token = Token( name='/workflow/some_workflow/123/job/waiting/child', data=pickle.dumps(child_job)) PinballConfig.PARSER_PARAMS = {'key': 'value'} def test_poison_non_existent(self): Options = collections.namedtuple( 'args', 'workflow, instance, jobs, force') options = Options(workflow='does_not_exist', instance='123', jobs='parent', force=True) command = Poison() command.prepare(options) client = mock.Mock() group_response = GroupResponse(counts={}) client.group.return_value = group_response store = mock.Mock() store.read_archived_tokens.return_value = [] output = command.execute(client, store) group_request = GroupRequest( namePrefix='/workflow/does_not_exist/123/job/', groupSuffix='/') client.group.assert_called_once_with(group_request) store.read_archived_tokens.assert_called_with( name_prefix='/workflow/does_not_exist/123/') self.assertEqual('workflow does_not_exist instance 123 not found\n', output) def test_poison_from_store(self): Options = collections.namedtuple( 'args', 'workflow, instance, jobs, force') options = Options(workflow='some_workflow', instance='123', jobs='parent', force=True) command = Poison() command.prepare(options) client = mock.Mock() store = mock.Mock() store.read_archived_tokens.return_value = [self._parent_job_token, self._child_job_token] group_response = GroupResponse(counts={}) client.group.return_value = group_response modify_response = ModifyResponse(updates=[self._parent_job_token, self._child_job_token]) client.modify.return_value = modify_response def side_effect(request): # Expect two job tokens and one event token. self.assertEqual(3, len(request.updates)) self.assertIsNone(request.deletes) client.modify.side_effect = side_effect output = command.execute(client, store) group_request = GroupRequest( namePrefix='/workflow/some_workflow/123/job/', groupSuffix='/') client.group.assert_called_once_with(group_request) store.read_archived_tokens.assert_called_with( name_prefix='/workflow/some_workflow/123/') self.assertTrue(output.startswith("poisoned workflow some_workflow " "roots ['parent'].")) @mock.patch('pinball.tools.workflow_util.Analyzer') def test_poison_from_client(self, analyzer_mock): Options = collections.namedtuple( 'args', 'workflow, instance, jobs, force') options = Options(workflow='some_workflow', instance='123', jobs='parent', force=True) command = Poison() command.prepare(options) client = mock.Mock() analyzer = mock.Mock() analyzer_mock.from_client.return_value = analyzer analyzer.get_tokens.return_value = [self._parent_job_token, self._child_job_token] event_token = Token( version=1234567, name='/workflow/some_workflow/123/input/some_job/some_input', data='some_data') analyzer.get_new_event_tokens.return_value = [event_token] group_response = GroupResponse( counts={'/workflow/some_workflow/123/job/': 1}) client.group.return_value = group_response query_response = QueryResponse(tokens=[[self._signal_token]]) client = mock.Mock() client.query.return_value = query_response modify_response = ModifyResponse(updates=[event_token]) client.modify.return_value = modify_response output = command.execute(client, None) group_request = GroupRequest( namePrefix='/workflow/some_workflow/123/job/', groupSuffix='/') client.group.assert_called_once_with(group_request) query = Query( namePrefix='/workflow/some_workflow/123/__SIGNAL__/ARCHIVE') query_request = QueryRequest(queries=[query]) client.query.assert_called_once_with(query_request) modify_request = ModifyRequest(updates=[event_token], deletes=[self._signal_token]) client.modify.assert_called_once_with(modify_request) analyzer.get_tokens.assert_called_once() analyzer.get_new_event_tokens.assert_called_once() self.assertEqual("poisoned workflow some_workflow instance 123 roots " "['parent']\n", output) @mock.patch('pinball.tools.workflow_util.Analyzer') def test_poison_from_config(self, analyzer_mock): Options = collections.namedtuple( 'args', 'workflow, instance, jobs, force') options = Options(workflow='some_workflow', instance=None, jobs='parent', force=True) command = Poison() command.prepare(options) analyzer = mock.Mock() analyzer_mock.from_parser_params.return_value = analyzer analyzer.get_tokens.return_value = [self._parent_job_token, self._child_job_token] client = mock.Mock() modify_response = ModifyResponse(updates=[self._parent_job_token, self._child_job_token]) client.modify.return_value = modify_response store = mock.Mock() output = command.execute(client, store) analyzer_mock.from_parser_params.assert_called_once_with('some_workflow') self.assertEqual(2, analyzer.get_tokens.call_count) self.assertEqual(1, analyzer.clear_job_histories.call_count) analyzer.poison.assert_called_once_with(['parent']) self.assertEqual(1, analyzer.change_instance.call_count) modify_request = ModifyRequest(updates=[self._parent_job_token, self._child_job_token]) client.modify.assert_called_once_with(modify_request) self.assertTrue(output.startswith("poisoned workflow some_workflow " "roots ['parent'].")) class ModifySignalTestCase(unittest.TestCase): def _init(self, command, action): self._command = command self._action = action def _run_test(self, is_present, expect_set, expect_remove, expected_output, signaller_mock): Options = collections.namedtuple('args', 'workflow, instance, force') options = Options(workflow='some_workflow', instance='123', force=True) self._command.prepare(options) signaller_mock.is_signal_present.return_value = is_present output = self._command.execute(mock.Mock(), None) self.assertEqual(expected_output, output) if expect_set: signaller_mock.set_action.assert_called_with(self._action) if expect_remove: signaller_mock.remove_action.assert_called_with(self._action) class DrainTestCase(ModifySignalTestCase): def setUp(self): self._init(Drain(), Signal.DRAIN) @mock.patch('pinball.tools.workflow_util.Signaller') def test_set_present(self, signaller_mock): signaller = mock.Mock() signaller_mock.return_value = signaller expected_output = ('DRAIN has been already set. Not changing ' 'anything this time\n') self._run_test(True, False, False, expected_output, signaller) @mock.patch('pinball.tools.workflow_util.Signaller') def test_set_missing(self, signaller_mock): signaller = mock.Mock() signaller_mock.return_value = signaller expected_output = ('set DRAIN. Its token is ' '/workflow/some_workflow/123/__SIGNAL__/DRAIN\n') self._run_test(False, True, False, expected_output, signaller) class UnDrainTestCase(ModifySignalTestCase): def setUp(self): self._init(UnDrain(), Signal.DRAIN) @mock.patch('pinball.tools.workflow_util.Signaller') def test_remove_present(self, signaller_mock): signaller = mock.Mock() signaller_mock.return_value = signaller expected_output = ('removed DRAIN from ' '/workflow/some_workflow/123/__SIGNAL__/DRAIN\n') self._run_test(True, False, True, expected_output, signaller) @mock.patch('pinball.tools.workflow_util.Signaller') def test_remove_missing(self, signaller_mock): signaller = mock.Mock() signaller_mock.return_value = signaller expected_output = ('DRAIN has been already removed. Not changing ' 'anything this time\n') self._run_test(False, False, False, expected_output, signaller) class AbortTestCase(ModifySignalTestCase): def setUp(self): self._init(Abort(), Signal.ABORT) @mock.patch('pinball.tools.workflow_util.Signaller') def test_set_present(self, signaller_mock): signaller = mock.Mock() signaller_mock.return_value = signaller expected_output = ('ABORT has been already set. Not changing ' 'anything this time\n') self._run_test(True, False, False, expected_output, signaller) @mock.patch('pinball.tools.workflow_util.Signaller') def test_set_missing(self, signaller_mock): signaller = mock.Mock() signaller_mock.return_value = signaller expected_output = ('set ABORT. Its token is ' '/workflow/some_workflow/123/__SIGNAL__/ABORT\n') self._run_test(False, True, False, expected_output, signaller) class UnAbortTestCase(ModifySignalTestCase): def setUp(self): self._init(UnAbort(), Signal.ABORT) @mock.patch('pinball.tools.workflow_util.Signaller') def test_remove_present(self, signaller_mock): signaller = mock.Mock() signaller_mock.return_value = signaller expected_output = ('removed ABORT from ' '/workflow/some_workflow/123/__SIGNAL__/ABORT\n') self._run_test(True, False, True, expected_output, signaller) @mock.patch('pinball.tools.workflow_util.Signaller') def test_remove_missing(self, signaller_mock): signaller = mock.Mock() signaller_mock.return_value = signaller expected_output = ('ABORT has been already removed. Not changing ' 'anything this time\n') self._run_test(False, False, False, expected_output, signaller) class ExitTestCase(ModifySignalTestCase): def setUp(self): self._init(Exit(), Signal.EXIT) @mock.patch('pinball.tools.workflow_util.Signaller') def test_set_present(self, signaller_mock): signaller = mock.Mock() signaller_mock.return_value = signaller expected_output = ('EXIT has been already set. Not changing ' 'anything this time\n') self._run_test(True, False, False, expected_output, signaller) @mock.patch('pinball.tools.workflow_util.Signaller') def test_set_missing(self, signaller_mock): signaller = mock.Mock() signaller_mock.return_value = signaller expected_output = ('set EXIT. Its token is ' '/workflow/some_workflow/123/__SIGNAL__/EXIT\n') self._run_test(False, True, False, expected_output, signaller) class UnExitTestCase(ModifySignalTestCase): def setUp(self): self._init(UnExit(), Signal.EXIT) @mock.patch('pinball.tools.workflow_util.Signaller') def test_remove_present(self, signaller_mock): signaller = mock.Mock() signaller_mock.return_value = signaller expected_output = ('removed EXIT from ' '/workflow/some_workflow/123/__SIGNAL__/EXIT\n') self._run_test(True, False, True, expected_output, signaller) @mock.patch('pinball.tools.workflow_util.Signaller') def test_remove_missing(self, signaller_mock): signaller = mock.Mock() signaller_mock.return_value = signaller expected_output = ('EXIT has been already removed. Not changing ' 'anything this time\n') self._run_test(False, False, False, expected_output, signaller) class ReScheduleTestCase(unittest.TestCase): @mock.patch('pinball.tools.workflow_util.load_path') def test_reschdule_non_existent(self, load_path_mock): Options = collections.namedtuple('args', 'workflow,force') options = Options(workflow='does_not_exist', force=True) PinballConfig.PARSER_PARAMS = {'key': 'value'} command = ReSchedule() command.prepare(options) config_parser = mock.Mock() def load_path(params): self.assertEqual(['key'], params.keys()) return config_parser load_path_mock.return_value = load_path config_parser.get_workflow_names.return_value = [] client = mock.Mock() output = command.execute(client, None) self.assertEqual('workflow does_not_exist not found\n', output) @mock.patch('pinball.tools.workflow_util.load_path') def test_reschedule_workflow(self, load_path_mock): Options = collections.namedtuple('args', 'workflow,force') options = Options(workflow='some_workflow', force=True) PinballConfig.PARSER_PARAMS = {'key': 'value'} command = ReSchedule() command.prepare(options) config_parser = mock.Mock() def load_path(params): self.assertEqual(['key'], params.keys()) return config_parser load_path_mock.return_value = load_path config_parser.get_workflow_names.return_value = ['some_workflow'] schedule = WorkflowSchedule(next_run_time=10, recurrence_seconds=10, workflow='some_workflow', emails=None) old_token = Token(version=1234567, name='/schedule/workflow/some_workflow', data=pickle.dumps(schedule), owner='some_owner', expirationTime=sys.maxint) new_token = copy.copy(old_token) schedule.recurrence_seconds = 100 new_token.data = pickle.dumps(schedule) config_parser.get_schedule_token.return_value = new_token query_response = QueryResponse(tokens=[[old_token]]) client = mock.Mock() client.query.return_value = query_response client.modify.return_value = ModifyResponse() output = command.execute(client, None) query = Query(namePrefix='/schedule/workflow/some_workflow') query_request = QueryRequest(queries=[query]) client.query.assert_called_once_with(query_request) modify_request = ModifyRequest(updates=[new_token]) client.modify.assert_called_once_with(modify_request) self.assertEqual("rescheduled workflows ['some_workflow']. Their " "schedule tokens are " "['/schedule/workflow/some_workflow']\n", output) @mock.patch('pinball.tools.workflow_util.load_path') def test_reschedule_workflows(self, load_path_mock): Options = collections.namedtuple('args', 'workflow, force') options = Options(workflow=None, force=True) PinballConfig.PARSER_PARAMS = {'key': 'value'} command = ReSchedule() command.prepare(options) config_parser = mock.Mock() def load_path(params): self.assertEqual(['key'], params.keys()) return config_parser load_path_mock.return_value = load_path config_parser.get_workflow_names.return_value = ['some_workflow', 'some_other_workflow'] schedule = WorkflowSchedule(next_run_time=10, recurrence_seconds=10, workflow='some_workflow', emails=None) old_token = Token(version=1234567, name='/schedule/workflow/some_workflow', data=pickle.dumps(schedule), owner='some_owner', expirationTime=sys.maxint) new_token = copy.copy(old_token) schedule.recurrence_seconds = 100 new_token.data = pickle.dumps(schedule) schedule.workflow = 'some_other_workflow' other_old_token = Token(version=12345678, name='/schedule/workflow/some_other_workflow', data=pickle.dumps(schedule), owner='some_owner', expirationTime=sys.maxint) other_new_token = copy.copy(other_old_token) other_new_token.data = pickle.dumps(schedule) def get_schedule_token(workflow): if workflow == 'some_workflow': return new_token elif workflow == 'some_other_workflow': return other_new_token config_parser.get_schedule_token = get_schedule_token query_response = QueryResponse(tokens=[[old_token], [other_old_token]]) client = mock.Mock() client.query.return_value = query_response client.modify.return_value = ModifyResponse() output = command.execute(client, None) query = Query(namePrefix='/schedule/workflow/some_workflow') other_query = Query( namePrefix='/schedule/workflow/some_other_workflow') query_request = QueryRequest(queries=[query, other_query]) client.query.assert_called_once_with(query_request) # other_new_token is not in the updates because the schedule of # some_other_workflow doesn't change. modify_request = ModifyRequest(updates=[new_token]) client.modify.assert_called_once_with(modify_request) self.assertEqual("rescheduled workflows ['some_workflow']. Their " "schedule tokens are " "['/schedule/workflow/some_workflow']\n", output) class UnScheduleTestCase(unittest.TestCase): def test_unschdule_non_existent(self): Options = collections.namedtuple('args', 'workflow,force') options = Options(workflow='does_not_exist', force=True) command = UnSchedule() command.prepare(options) query_response = QueryResponse(tokens=[[]]) client = mock.Mock() client.query.return_value = query_response output = command.execute(client, None) query = Query(namePrefix='/schedule/workflow/does_not_exist') query_request = QueryRequest(queries=[query]) client.query.assert_called_once_with(query_request) self.assertEqual('schedule for workflow does_not_exist not found\n', output) def test_reschedule_workflow(self): Options = collections.namedtuple('args', 'workflow,force') options = Options(workflow='some_workflow', force=True) command = UnSchedule() command.prepare(options) token = Token(version=1234567, name='/schedule/workflow/some_workflow', data='some_data', owner='some_owner', expirationTime=sys.maxint) query_response = QueryResponse(tokens=[[token]]) client = mock.Mock() client.query.return_value = query_response client.modify.return_value = ModifyResponse() output = command.execute(client, None) query = Query(namePrefix='/schedule/workflow/some_workflow') query_request = QueryRequest(queries=[query]) client.query.assert_called_once_with(query_request) modify_request = ModifyRequest(deletes=[token]) client.modify.assert_called_once_with(modify_request) self.assertEqual('removed schedule for workflow some_workflow\n', output) class ReloadTestCase(unittest.TestCase): def setUp(self): not_owned_job = ShellJob(max_attempts=5) not_owned_job.history = [ExecutionRecord(exit_code=0)] self._not_owned_job_token = Token( name='/workflow/some_workflow/123/job/runnable/not_owned', priority=10, data=pickle.dumps(not_owned_job)) not_owned_job.max_attempts = 6 self._new_not_owned_job_token = Token( name='/workflow/some_workflow/123/job/runnable/not_owned', priority=11, data=pickle.dumps(not_owned_job)) not_owned_job.history = [] self._not_owned_job_def_token = Token( name='/workflow/some_workflow/123/job/waiting/not_owned', priority=11, data=pickle.dumps(not_owned_job)) owned_job = ShellJob() self._owned_job_token = Token( name='/workflow/some_workflow/123/job/runnable/owned', owner='some_owner', expirationTime=1000, data=pickle.dumps(owned_job)) self._owned_job_def_token = Token( name='/workflow/some_workflow/123/job/waiting/owned', data=pickle.dumps(owned_job)) PinballConfig.PARSER_PARAMS = {'key': 'value'} @mock.patch('pinball.tools.workflow_util.load_path') def test_reload_non_existent(self, load_path_mock): Options = collections.namedtuple( 'args', 'workflow, instance, jobs, force') options = Options(workflow='does_not_exist', instance='123', jobs=None, force=True) PinballConfig.PARSER_PARAMS = {'key': 'value'} command = Reload() command.prepare(options) config_parser = mock.Mock() def load_path(params): self.assertEqual(['key'], params.keys()) return config_parser load_path_mock.return_value = load_path config_parser.get_workflow_names.return_value = [] client = mock.Mock() output = command.execute(client, None) self.assertEqual('workflow does_not_exist not found in %s\n' % str(PinballConfig.PARSER_PARAMS), output) @mock.patch('pinball.tools.workflow_util.time') @mock.patch('pinball.tools.workflow_util.load_path') def test_reload_owned_job(self, load_path_mock, time): Options = collections.namedtuple( 'args', 'workflow, instance, jobs, force') options = Options(workflow='some_workflow', instance='123', jobs='owned', force=True) PinballConfig.PARSER_PARAMS = {'key': 'value'} command = Reload() command.prepare(options) config_parser = mock.Mock() def load_path(params): self.assertEqual(['key'], params.keys()) return config_parser load_path_mock.return_value = load_path config_parser.get_workflow_names.return_value = ['some_workflow'] time.time.return_value = 10 client = mock.Mock() client.query_and_own.return_value = QueryAndOwnResponse(tokens=[]) output = command.execute(client, None) runnable_query = Query( namePrefix='/workflow/some_workflow/123/job/runnable/owned', maxTokens=1) runnable_request = QueryAndOwnRequest(owner='workflow_util', expirationTime=(10 + 5 * 60), query=runnable_query) waiting_query = Query( namePrefix='/workflow/some_workflow/123/job/waiting/owned', maxTokens=1) waiting_request = QueryAndOwnRequest(owner='workflow_util', expirationTime=(10 + 5 * 60), query=waiting_query) self.assertEqual([mock.call(runnable_request), mock.call(waiting_request)], client.query_and_own.call_args_list) self.assertEqual('job owned in workflow some_workflow instance 123 ' 'either not found or already owned', output) @staticmethod def _check_modify_request(expected_request): """Verify a modify request. We cannot simply compare the exact content of the tokens passed in the modify request as pickling could have distorted it. Args: expected_request: The request to compare with. Returns: Function with the same interface as TokenMasterService.modify() """ def check_request(request): assert not expected_request.deletes and not request.deletes assert expected_request.updates and not request.updates assert len(expected_request.updates) == len(request.updates) for i in range(0, len(expected_request.updates)): assert (str(expected_request.updates[i]) == str(request.updates[i])) return check_request @mock.patch('pinball.tools.workflow_util.time') @mock.patch('pinball.tools.workflow_util.load_path') def test_reload_not_owned_job(self, load_path_mock, time): Options = collections.namedtuple( 'args', 'workflow, instance, jobs, force') options = Options(workflow='some_workflow', instance='123', jobs='not_owned', force=True) PinballConfig.PARSER_PARAMS = {'key': 'value'} command = Reload() command.prepare(options) config_parser = mock.Mock() def load_path(params): self.assertEqual(['key'], params.keys()) return config_parser load_path_mock.return_value = load_path config_parser.get_workflow_names.return_value = ['some_workflow'] event_token = Token(name=('/workflow/some_workflow/123/input/' 'not_owned_job/__WORKFLOW_START__'), data='some_data') config_parser.get_workflow_tokens.return_value = [ self._not_owned_job_def_token, self._owned_job_def_token, event_token] time.time.return_value = 10 client = mock.Mock() not_owned_job_token = copy.copy(self._not_owned_job_token) not_owned_job_token.owner = 'workflow_util' not_owned_job_token.expirationTime = 10 + 5 * 60 client.query_and_own.return_value = QueryAndOwnResponse( tokens=[not_owned_job_token]) client.modify.return_value = ModifyResponse( updates=[self._new_not_owned_job_token]) output = command.execute(client, None) config_parser.get_workflow_tokens.assert_called_once_with( 'some_workflow') runnable_query = Query( namePrefix='/workflow/some_workflow/123/job/runnable/not_owned', maxTokens=1) runnable_request = QueryAndOwnRequest(owner='workflow_util', expirationTime=(10 + 5 * 60), query=runnable_query) client.query_and_own.assert_called_once_with(runnable_request) new_not_owned_job_token = copy.copy(self._new_not_owned_job_token) new_not_owned_job_token.name = ('/workflow/some_workflow/123/job/' 'runnable/not_owned') client.modify.side_effect = ReloadTestCase._check_modify_request( ModifyRequest(updates=[new_not_owned_job_token], deletes=None)) self.assertEqual("reloaded jobs ['not_owned'] in workflow " "some_workflow instance 123", output) @mock.patch('pinball.tools.workflow_util.time') @mock.patch('pinball.tools.workflow_util.load_path') def test_reload_all_jobs(self, load_path_mock, time): Options = collections.namedtuple( 'args', 'workflow, instance, jobs, force') options = Options(workflow='some_workflow', instance='123', jobs=None, force=True) PinballConfig.PARSER_PARAMS = {'key': 'value'} command = Reload() command.prepare(options) config_parser = mock.Mock() def load_path(params): self.assertEqual(['key'], params.keys()) return config_parser load_path_mock.return_value = load_path config_parser.get_workflow_names.return_value = ['some_workflow'] time.time.return_value = 10 client = mock.Mock() client.group.return_value = GroupResponse(counts={ '/workflow/some_workflow/123/job/runnable': 1, '/workflow/some_workflow/123/job/waiting': 1}) not_owned_job_token = copy.copy(self._not_owned_job_token) not_owned_job_token.owner = 'workflow_util' not_owned_job_token.expirationTime = 10 + 5 * 60 client.query_and_own.return_value = QueryAndOwnResponse( tokens=[not_owned_job_token]) client.modify.return_value = ModifyResponse( updates=[self._not_owned_job_token]) output = command.execute(client, None) group_request = GroupRequest( namePrefix='/workflow/some_workflow/123/job/', groupSuffix='/') client.group.assert_called_once_with(group_request) query = Query(namePrefix='/workflow/some_workflow/123/job/') query_and_own_request = QueryAndOwnRequest( owner='workflow_util', expirationTime=(10 + 5 * 60), query=query) client.query_and_own.assert_called_once_with(query_and_own_request) modify_request = ModifyRequest(updates=[self._not_owned_job_token]) client.modify.assert_called_once_with(modify_request) self.assertEqual('only 1 out of 2 job tokens in workflow ' 'some_workflow instance 123 could be claimed', output) class AlterTestCase(unittest.TestCase): def _init(self, command, altered_parent_disabled, altered_child_disabled): self._command = command self._altered_parent_disabled = altered_parent_disabled self._altered_child_disabled = altered_child_disabled def _alter_non_existent(self, expected_output): Options = collections.namedtuple( 'args', 'workflow, instance, jobs, force') options = Options(workflow='does_not_exist', instance='123', jobs='some_job', force=True) self._command.prepare(options) client = mock.Mock() client.query.return_value = QueryResponse(tokens=[[]]) store = mock.Mock() output = self._command.execute(client, store) query = Query(namePrefix='/workflow/does_not_exist/123/job/') query_request = QueryRequest(queries=[query]) client.query.assert_called_once_with(query_request) self.assertEqual(expected_output, output) def _check_modify_request(self, request): self.assertEqual(2, len(request.updates)) parent_token = request.updates[0] self.assertEqual('/workflow/some_workflow/123/job/waiting/parent', parent_token.name) parent_job = pickle.loads(parent_token.data) self.assertEqual(self._altered_parent_disabled, parent_job.disabled) child_token = request.updates[1] self.assertEqual('/workflow/some_workflow/123/job/waiting/child', child_token.name) child_job = pickle.loads(child_token.data) self.assertEqual(self._altered_child_disabled, child_job.disabled) def _alter_jobs(self, expected_output): Options = collections.namedtuple( 'args', 'workflow, instance, jobs, force') options = Options(workflow='some_workflow', instance='123', jobs='parent,child', force=True) self._command.prepare(options) parent_job = ShellJob(name='parent', inputs=['__WORKFLOW_START__'], outputs=['child']) parent_job.disabled = True parent_job_token = Token( name='/workflow/some_workflow/123/job/waiting/parent', data=pickle.dumps(parent_job)) altered_parent_job_token = copy.copy(parent_job_token) parent_job.disabled = self._altered_parent_disabled altered_parent_job_token.data = pickle.dumps(parent_job) child_job = ShellJob(name='child', inputs=['parent']) child_job_token = Token( name='/workflow/some_workflow/123/job/waiting/child', data=pickle.dumps(child_job)) altered_child_job_token = copy.copy(child_job_token) child_job.disabled = self._altered_child_disabled altered_child_job_token.data = pickle.dumps(child_job) client = mock.Mock() client.query.return_value = QueryResponse(tokens=[[parent_job_token, child_job_token]]) client.modify.return_value = ModifyResponse( updates=[altered_parent_job_token, altered_child_job_token]) client.modify.side_effect = self._check_modify_request store = mock.Mock() output = self._command.execute(client, store) query = Query(namePrefix='/workflow/some_workflow/123/job/') query_request = QueryRequest(queries=[query]) client.query.assert_called_once_with(query_request) self.assertEqual(1, client.modify.call_count) self.assertEqual(expected_output, output) class DisableTestCase(AlterTestCase): def setUp(self): self._init(Disable(), True, True) def test_alter_non_existent(self): self._alter_non_existent("job(s) ['some_job'] not found in the " "master. Note that only jobs of a running " "workflow can be disabled") def test_alter_jobs(self): self._alter_jobs('disabled 2 job(s) in 1 tries\n') class EnableTestCase(AlterTestCase): def setUp(self): self._init(Enable(), False, False) def test_alter_non_existent(self): self._alter_non_existent("job(s) ['some_job'] not found in the " "master. Note that only jobs of a running " "workflow can be enabled") def test_alter_jobs(self): self._alter_jobs('enabled 2 job(s) in 1 tries\n') class CleanupTestCase(unittest.TestCase): def setUp(self): # Set PinballConfig to enable s3 log saver PinballConfig.S3_LOGS_DIR_PREFIX = 's3n://pinball/tmp/' PinballConfig.S3_LOGS_DIR = \ PinballConfig.S3_LOGS_DIR_PREFIX \ + PinballConfig.JOB_LOG_PATH_PREFIX @mock.patch('pinball.tools.workflow_util.DataBuilder') def test_cleanup_non_existent(self, data_builder): Options = collections.namedtuple('args', 'age_days,force') options = Options(age_days=10, force=True) command = Cleanup() command.prepare(options) builder = mock.Mock() data_builder.return_value = builder builder.get_workflows.return_value = [] store = mock.Mock() output = command.execute(None, store) builder.get_workflows.assert_called_once_with() self.assertEqual('no tokens need to be cleaned up\nremoved 0 token(s) ' 'and 0 directory(ies)\n', output) @mock.patch('pinball.tools.workflow_util.delete_s3_directory') @mock.patch('pinball.tools.workflow_util.time') @mock.patch('pinball.tools.workflow_util.DataBuilder') @mock.patch('pinball.tools.workflow_util.shutil') def test_cleanup_instances(self, shutil, data_builder, time, delete_s3): Options = collections.namedtuple('args', 'age_days,force') options = Options(age_days=10, force=True) command = Cleanup() time.time.return_value = 1373181000 # 2013-07-07 07:10:00 UTC command.prepare(options) builder = mock.Mock() data_builder.return_value = builder old_workflow = WorkflowData('old_workflow') new_workflow = WorkflowData('new_workflow') builder.get_workflows.return_value = [old_workflow, new_workflow] old_instance = WorkflowInstanceData('old_workflow', '1234', status=Status.SUCCESS, start_time=10, end_time=20) new_instance = WorkflowInstanceData( 'new_workflow', '12345', status=Status.SUCCESS, start_time=1373180880, # 2013-07-07 07:08:00 UTC end_time=1373180940) # 2013-07-07 07:09:00 UTC def side_effect(*args, **kwargs): if args[0] == old_workflow.workflow: return [old_instance] elif args[0] == new_workflow.workflow: return [new_instance] else: assert False, 'unknown workflow %s' % args[0] builder.get_instances.side_effect = side_effect store = mock.Mock() token = Token(name='some_token') store.read_archived_tokens.return_value = [token] output = command.execute(None, store) builder.get_workflows.assert_called_once_with() self.assertEqual(2, builder.get_instances.call_count) builder.get_instances.assert_any_call(old_workflow.workflow) builder.get_instances.assert_any_call(new_workflow.workflow) store.read_archived_tokens.assert_called_once_with( name_prefix='/workflow/old_workflow/1234/') store.delete_archived_tokens.assert_called_once_with([token]) shutil.rmtree.assert_called_once_with( '/tmp/pinball_job_logs/old_workflow/1234', ignore_errors=True) delete_s3.assert_called_once_with( 's3n://pinball/tmp/pinball_job_logs/old_workflow/1234') self.assertEqual('removed 1 token(s) and 2 directory(ies)\n', output) class RebuildCacheTestCase(unittest.TestCase): @mock.patch('pinball.tools.workflow_util.DataBuilder') def test_rebuild_cache(self, data_builder): Options = collections.namedtuple('args', 'force') options = Options(force=True) command = RebuildCache() command.prepare(options) builder = mock.Mock() data_builder.return_value = builder store = mock.Mock() store.read_cached_data_names.return_value = [ '/workflow/some_workflow/123', '/workflow/some_workflow/1234', '/workflow/some_workflow/12345'] output = command.execute(None, store) self.assertEqual(2, store.read_cached_data_names.call_count) self.assertEqual(1, store.clear_cached_data.call_count) data_builder.assert_called_once_with(store, use_cache=True) self.assertEqual(1, builder.get_workflows.call_count) self.assertEqual('rebuilt data cache. It now has 3 data items', output)

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4c1b1a1d274ce4c189430dc69185da596d31810f

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py

Python

custom_components/poolmath/__init__.py

hwikene/hass-poolmath

7e3e57bc6c5982aeb7620ab8a712e8fddb2ac0bd

[ "Apache-2.0" ]

9

2019-08-07T07:11:30.000Z

2021-12-23T10:00:33.000Z

custom_components/poolmath/__init__.py

hwikene/hass-poolmath

7e3e57bc6c5982aeb7620ab8a712e8fddb2ac0bd

[ "Apache-2.0" ]

12

2020-02-09T02:16:07.000Z

2022-03-31T00:46:57.000Z

custom_components/poolmath/__init__.py

hwikene/hass-poolmath

7e3e57bc6c5982aeb7620ab8a712e8fddb2ac0bd

[ "Apache-2.0" ]

2

2020-09-19T05:32:28.000Z

2020-10-01T11:55:27.000Z

"""Integration with Pool Math by Trouble Free Pool"""

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4

4c40b311c77f1c2c87b507f845ea58d2a67f7404

47,190

py

Python

base2designs/protos/box_predictor_pb2.py

sethusaim/Automatic-Number-Plate-Recognition

8b26008f8511e52600b150157901079e0fd0ebfe

[ "MIT" ]

null

base2designs/protos/box_predictor_pb2.py

sethusaim/Automatic-Number-Plate-Recognition

8b26008f8511e52600b150157901079e0fd0ebfe

[ "MIT" ]

null

base2designs/protos/box_predictor_pb2.py

sethusaim/Automatic-Number-Plate-Recognition

8b26008f8511e52600b150157901079e0fd0ebfe

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Generated by the protocol buffer compiler. DO NOT EDIT! # source: object_detection/protos/box_predictor.proto import sys _b = sys.version_info[0] < 3 and (lambda x: x) or (lambda x: x.encode("latin1")) from google.protobuf import descriptor as _descriptor from google.protobuf import message as _message from google.protobuf import reflection as _reflection from google.protobuf import symbol_database as _symbol_database # @@protoc_insertion_point(imports) _sym_db = _symbol_database.Default() from object_detection.protos import ( hyperparams_pb2 as object__detection_dot_protos_dot_hyperparams__pb2, ) DESCRIPTOR = _descriptor.FileDescriptor( name="object_detection/protos/box_predictor.proto", package="object_detection.protos", syntax="proto2", serialized_options=None, serialized_pb=_b( '\n+object_detection/protos/box_predictor.proto\x12\x17object_detection.protos\x1a)object_detection/protos/hyperparams.proto"\x90\x03\n\x0c\x42oxPredictor\x12Y\n\x1b\x63onvolutional_box_predictor\x18\x01 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containing_type=None, fields=[ _descriptor.FieldDescriptor( name="convolutional_box_predictor", full_name="object_detection.protos.BoxPredictor.convolutional_box_predictor", index=0, number=1, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="mask_rcnn_box_predictor", full_name="object_detection.protos.BoxPredictor.mask_rcnn_box_predictor", index=1, number=2, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="rfcn_box_predictor", full_name="object_detection.protos.BoxPredictor.rfcn_box_predictor", index=2, number=3, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="weight_shared_convolutional_box_predictor", full_name="object_detection.protos.BoxPredictor.weight_shared_convolutional_box_predictor", index=3, number=4, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), ], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax="proto2", extension_ranges=[], oneofs=[ _descriptor.OneofDescriptor( name="box_predictor_oneof", full_name="object_detection.protos.BoxPredictor.box_predictor_oneof", index=0, containing_type=None, fields=[], ), ], serialized_start=116, serialized_end=516, ) _CONVOLUTIONALBOXPREDICTOR_BOXENCODINGSCLIPRANGE = _descriptor.Descriptor( name="BoxEncodingsClipRange", full_name="object_detection.protos.ConvolutionalBoxPredictor.BoxEncodingsClipRange", filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name="min", full_name="object_detection.protos.ConvolutionalBoxPredictor.BoxEncodingsClipRange.min", index=0, number=1, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="max", full_name="object_detection.protos.ConvolutionalBoxPredictor.BoxEncodingsClipRange.max", index=1, number=2, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), ], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax="proto2", extension_ranges=[], oneofs=[], serialized_start=1029, serialized_end=1078, ) _CONVOLUTIONALBOXPREDICTOR = _descriptor.Descriptor( name="ConvolutionalBoxPredictor", full_name="object_detection.protos.ConvolutionalBoxPredictor", filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name="conv_hyperparams", full_name="object_detection.protos.ConvolutionalBoxPredictor.conv_hyperparams", index=0, number=1, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="min_depth", full_name="object_detection.protos.ConvolutionalBoxPredictor.min_depth", index=1, number=2, type=5, cpp_type=1, label=1, has_default_value=True, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="max_depth", full_name="object_detection.protos.ConvolutionalBoxPredictor.max_depth", index=2, number=3, type=5, cpp_type=1, label=1, has_default_value=True, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="num_layers_before_predictor", full_name="object_detection.protos.ConvolutionalBoxPredictor.num_layers_before_predictor", index=3, number=4, type=5, cpp_type=1, label=1, has_default_value=True, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="use_dropout", full_name="object_detection.protos.ConvolutionalBoxPredictor.use_dropout", index=4, number=5, type=8, cpp_type=7, label=1, has_default_value=True, default_value=True, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="dropout_keep_probability", full_name="object_detection.protos.ConvolutionalBoxPredictor.dropout_keep_probability", index=5, number=6, type=2, cpp_type=6, label=1, has_default_value=True, default_value=float(0.8), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="kernel_size", full_name="object_detection.protos.ConvolutionalBoxPredictor.kernel_size", index=6, number=7, type=5, cpp_type=1, label=1, has_default_value=True, default_value=1, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="box_code_size", full_name="object_detection.protos.ConvolutionalBoxPredictor.box_code_size", index=7, number=8, type=5, cpp_type=1, label=1, has_default_value=True, default_value=4, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="apply_sigmoid_to_scores", full_name="object_detection.protos.ConvolutionalBoxPredictor.apply_sigmoid_to_scores", index=8, number=9, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="class_prediction_bias_init", full_name="object_detection.protos.ConvolutionalBoxPredictor.class_prediction_bias_init", index=9, number=10, type=2, cpp_type=6, label=1, has_default_value=True, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="use_depthwise", full_name="object_detection.protos.ConvolutionalBoxPredictor.use_depthwise", index=10, number=11, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="box_encodings_clip_range", full_name="object_detection.protos.ConvolutionalBoxPredictor.box_encodings_clip_range", index=11, number=12, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), ], extensions=[], nested_types=[_CONVOLUTIONALBOXPREDICTOR_BOXENCODINGSCLIPRANGE,], enum_types=[], serialized_options=None, is_extendable=False, syntax="proto2", extension_ranges=[], oneofs=[], serialized_start=519, serialized_end=1078, ) _WEIGHTSHAREDCONVOLUTIONALBOXPREDICTOR_BOXENCODINGSCLIPRANGE = _descriptor.Descriptor( name="BoxEncodingsClipRange", full_name="object_detection.protos.WeightSharedConvolutionalBoxPredictor.BoxEncodingsClipRange", filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name="min", full_name="object_detection.protos.WeightSharedConvolutionalBoxPredictor.BoxEncodingsClipRange.min", index=0, number=1, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="max", full_name="object_detection.protos.WeightSharedConvolutionalBoxPredictor.BoxEncodingsClipRange.max", index=1, number=2, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), ], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax="proto2", extension_ranges=[], oneofs=[], serialized_start=1029, serialized_end=1078, ) _WEIGHTSHAREDCONVOLUTIONALBOXPREDICTOR = _descriptor.Descriptor( name="WeightSharedConvolutionalBoxPredictor", full_name="object_detection.protos.WeightSharedConvolutionalBoxPredictor", filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name="conv_hyperparams", full_name="object_detection.protos.WeightSharedConvolutionalBoxPredictor.conv_hyperparams", index=0, number=1, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="num_layers_before_predictor", full_name="object_detection.protos.WeightSharedConvolutionalBoxPredictor.num_layers_before_predictor", index=1, number=4, type=5, cpp_type=1, label=1, has_default_value=True, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="depth", full_name="object_detection.protos.WeightSharedConvolutionalBoxPredictor.depth", index=2, number=2, type=5, cpp_type=1, label=1, has_default_value=True, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="kernel_size", full_name="object_detection.protos.WeightSharedConvolutionalBoxPredictor.kernel_size", index=3, number=7, type=5, cpp_type=1, label=1, has_default_value=True, default_value=3, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="box_code_size", full_name="object_detection.protos.WeightSharedConvolutionalBoxPredictor.box_code_size", index=4, number=8, type=5, cpp_type=1, label=1, has_default_value=True, default_value=4, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="class_prediction_bias_init", full_name="object_detection.protos.WeightSharedConvolutionalBoxPredictor.class_prediction_bias_init", index=5, number=10, type=2, cpp_type=6, label=1, has_default_value=True, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="use_dropout", full_name="object_detection.protos.WeightSharedConvolutionalBoxPredictor.use_dropout", index=6, number=11, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="dropout_keep_probability", full_name="object_detection.protos.WeightSharedConvolutionalBoxPredictor.dropout_keep_probability", index=7, number=12, type=2, cpp_type=6, label=1, has_default_value=True, default_value=float(0.8), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="share_prediction_tower", full_name="object_detection.protos.WeightSharedConvolutionalBoxPredictor.share_prediction_tower", index=8, number=13, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="use_depthwise", full_name="object_detection.protos.WeightSharedConvolutionalBoxPredictor.use_depthwise", index=9, number=14, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="score_converter", full_name="object_detection.protos.WeightSharedConvolutionalBoxPredictor.score_converter", index=10, number=16, type=14, cpp_type=8, label=1, has_default_value=True, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="box_encodings_clip_range", full_name="object_detection.protos.WeightSharedConvolutionalBoxPredictor.box_encodings_clip_range", index=11, number=17, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), ], extensions=[], nested_types=[_WEIGHTSHAREDCONVOLUTIONALBOXPREDICTOR_BOXENCODINGSCLIPRANGE,], enum_types=[_WEIGHTSHAREDCONVOLUTIONALBOXPREDICTOR_SCORECONVERTER,], serialized_options=None, is_extendable=False, syntax="proto2", extension_ranges=[], oneofs=[], serialized_start=1081, serialized_end=1797, ) _MASKRCNNBOXPREDICTOR = _descriptor.Descriptor( name="MaskRCNNBoxPredictor", full_name="object_detection.protos.MaskRCNNBoxPredictor", filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name="fc_hyperparams", full_name="object_detection.protos.MaskRCNNBoxPredictor.fc_hyperparams", index=0, number=1, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="use_dropout", full_name="object_detection.protos.MaskRCNNBoxPredictor.use_dropout", index=1, number=2, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="dropout_keep_probability", full_name="object_detection.protos.MaskRCNNBoxPredictor.dropout_keep_probability", index=2, number=3, type=2, cpp_type=6, label=1, has_default_value=True, default_value=float(0.5), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="box_code_size", full_name="object_detection.protos.MaskRCNNBoxPredictor.box_code_size", index=3, number=4, type=5, cpp_type=1, label=1, has_default_value=True, default_value=4, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="conv_hyperparams", full_name="object_detection.protos.MaskRCNNBoxPredictor.conv_hyperparams", index=4, number=5, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="predict_instance_masks", full_name="object_detection.protos.MaskRCNNBoxPredictor.predict_instance_masks", index=5, number=6, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="mask_prediction_conv_depth", full_name="object_detection.protos.MaskRCNNBoxPredictor.mask_prediction_conv_depth", index=6, number=7, type=5, cpp_type=1, label=1, has_default_value=True, default_value=256, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="predict_keypoints", full_name="object_detection.protos.MaskRCNNBoxPredictor.predict_keypoints", index=7, number=8, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="mask_height", full_name="object_detection.protos.MaskRCNNBoxPredictor.mask_height", index=8, number=9, type=5, cpp_type=1, label=1, has_default_value=True, default_value=15, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="mask_width", full_name="object_detection.protos.MaskRCNNBoxPredictor.mask_width", index=9, number=10, type=5, cpp_type=1, label=1, has_default_value=True, default_value=15, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="mask_prediction_num_conv_layers", full_name="object_detection.protos.MaskRCNNBoxPredictor.mask_prediction_num_conv_layers", index=10, number=11, type=5, cpp_type=1, label=1, has_default_value=True, default_value=2, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="masks_are_class_agnostic", full_name="object_detection.protos.MaskRCNNBoxPredictor.masks_are_class_agnostic", index=11, number=12, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="share_box_across_classes", full_name="object_detection.protos.MaskRCNNBoxPredictor.share_box_across_classes", index=12, number=13, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="convolve_then_upsample_masks", full_name="object_detection.protos.MaskRCNNBoxPredictor.convolve_then_upsample_masks", index=13, number=14, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), ], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax="proto2", extension_ranges=[], oneofs=[], serialized_start=1800, serialized_end=2375, ) _RFCNBOXPREDICTOR = _descriptor.Descriptor( name="RfcnBoxPredictor", full_name="object_detection.protos.RfcnBoxPredictor", filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name="conv_hyperparams", full_name="object_detection.protos.RfcnBoxPredictor.conv_hyperparams", index=0, number=1, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="num_spatial_bins_height", full_name="object_detection.protos.RfcnBoxPredictor.num_spatial_bins_height", index=1, number=2, type=5, cpp_type=1, label=1, has_default_value=True, default_value=3, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="num_spatial_bins_width", full_name="object_detection.protos.RfcnBoxPredictor.num_spatial_bins_width", index=2, number=3, type=5, cpp_type=1, label=1, has_default_value=True, default_value=3, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="depth", full_name="object_detection.protos.RfcnBoxPredictor.depth", index=3, number=4, type=5, cpp_type=1, label=1, has_default_value=True, default_value=1024, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="box_code_size", full_name="object_detection.protos.RfcnBoxPredictor.box_code_size", index=4, number=5, type=5, cpp_type=1, label=1, has_default_value=True, default_value=4, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="crop_height", full_name="object_detection.protos.RfcnBoxPredictor.crop_height", index=5, number=6, type=5, cpp_type=1, label=1, has_default_value=True, default_value=12, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="crop_width", full_name="object_detection.protos.RfcnBoxPredictor.crop_width", index=6, number=7, type=5, cpp_type=1, label=1, has_default_value=True, default_value=12, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), ], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax="proto2", extension_ranges=[], oneofs=[], serialized_start=2378, serialized_end=2627, ) _BOXPREDICTOR.fields_by_name[ "convolutional_box_predictor" ].message_type = _CONVOLUTIONALBOXPREDICTOR _BOXPREDICTOR.fields_by_name[ "mask_rcnn_box_predictor" ].message_type = _MASKRCNNBOXPREDICTOR _BOXPREDICTOR.fields_by_name["rfcn_box_predictor"].message_type = _RFCNBOXPREDICTOR _BOXPREDICTOR.fields_by_name[ "weight_shared_convolutional_box_predictor" ].message_type = _WEIGHTSHAREDCONVOLUTIONALBOXPREDICTOR _BOXPREDICTOR.oneofs_by_name["box_predictor_oneof"].fields.append( _BOXPREDICTOR.fields_by_name["convolutional_box_predictor"] ) _BOXPREDICTOR.fields_by_name[ "convolutional_box_predictor" ].containing_oneof = _BOXPREDICTOR.oneofs_by_name["box_predictor_oneof"] _BOXPREDICTOR.oneofs_by_name["box_predictor_oneof"].fields.append( _BOXPREDICTOR.fields_by_name["mask_rcnn_box_predictor"] ) _BOXPREDICTOR.fields_by_name[ "mask_rcnn_box_predictor" ].containing_oneof = _BOXPREDICTOR.oneofs_by_name["box_predictor_oneof"] _BOXPREDICTOR.oneofs_by_name["box_predictor_oneof"].fields.append( _BOXPREDICTOR.fields_by_name["rfcn_box_predictor"] ) _BOXPREDICTOR.fields_by_name[ "rfcn_box_predictor" ].containing_oneof = _BOXPREDICTOR.oneofs_by_name["box_predictor_oneof"] _BOXPREDICTOR.oneofs_by_name["box_predictor_oneof"].fields.append( _BOXPREDICTOR.fields_by_name["weight_shared_convolutional_box_predictor"] ) _BOXPREDICTOR.fields_by_name[ "weight_shared_convolutional_box_predictor" ].containing_oneof = _BOXPREDICTOR.oneofs_by_name["box_predictor_oneof"] _CONVOLUTIONALBOXPREDICTOR_BOXENCODINGSCLIPRANGE.containing_type = ( _CONVOLUTIONALBOXPREDICTOR ) _CONVOLUTIONALBOXPREDICTOR.fields_by_name[ "conv_hyperparams" ].message_type = object__detection_dot_protos_dot_hyperparams__pb2._HYPERPARAMS _CONVOLUTIONALBOXPREDICTOR.fields_by_name[ "box_encodings_clip_range" ].message_type = _CONVOLUTIONALBOXPREDICTOR_BOXENCODINGSCLIPRANGE _WEIGHTSHAREDCONVOLUTIONALBOXPREDICTOR_BOXENCODINGSCLIPRANGE.containing_type = ( _WEIGHTSHAREDCONVOLUTIONALBOXPREDICTOR ) _WEIGHTSHAREDCONVOLUTIONALBOXPREDICTOR.fields_by_name[ "conv_hyperparams" ].message_type = object__detection_dot_protos_dot_hyperparams__pb2._HYPERPARAMS _WEIGHTSHAREDCONVOLUTIONALBOXPREDICTOR.fields_by_name[ "score_converter" ].enum_type = _WEIGHTSHAREDCONVOLUTIONALBOXPREDICTOR_SCORECONVERTER _WEIGHTSHAREDCONVOLUTIONALBOXPREDICTOR.fields_by_name[ "box_encodings_clip_range" ].message_type = _WEIGHTSHAREDCONVOLUTIONALBOXPREDICTOR_BOXENCODINGSCLIPRANGE _WEIGHTSHAREDCONVOLUTIONALBOXPREDICTOR_SCORECONVERTER.containing_type = ( _WEIGHTSHAREDCONVOLUTIONALBOXPREDICTOR ) _MASKRCNNBOXPREDICTOR.fields_by_name[ "fc_hyperparams" ].message_type = object__detection_dot_protos_dot_hyperparams__pb2._HYPERPARAMS _MASKRCNNBOXPREDICTOR.fields_by_name[ "conv_hyperparams" ].message_type = object__detection_dot_protos_dot_hyperparams__pb2._HYPERPARAMS _RFCNBOXPREDICTOR.fields_by_name[ "conv_hyperparams" ].message_type = object__detection_dot_protos_dot_hyperparams__pb2._HYPERPARAMS DESCRIPTOR.message_types_by_name["BoxPredictor"] = _BOXPREDICTOR DESCRIPTOR.message_types_by_name[ "ConvolutionalBoxPredictor" ] = _CONVOLUTIONALBOXPREDICTOR DESCRIPTOR.message_types_by_name[ "WeightSharedConvolutionalBoxPredictor" ] = _WEIGHTSHAREDCONVOLUTIONALBOXPREDICTOR DESCRIPTOR.message_types_by_name["MaskRCNNBoxPredictor"] = _MASKRCNNBOXPREDICTOR DESCRIPTOR.message_types_by_name["RfcnBoxPredictor"] = _RFCNBOXPREDICTOR _sym_db.RegisterFileDescriptor(DESCRIPTOR) BoxPredictor = _reflection.GeneratedProtocolMessageType( "BoxPredictor", (_message.Message,), { "DESCRIPTOR": _BOXPREDICTOR, "__module__": "object_detection.protos.box_predictor_pb2" # @@protoc_insertion_point(class_scope:object_detection.protos.BoxPredictor) }, ) _sym_db.RegisterMessage(BoxPredictor) ConvolutionalBoxPredictor = _reflection.GeneratedProtocolMessageType( "ConvolutionalBoxPredictor", (_message.Message,), { "BoxEncodingsClipRange": _reflection.GeneratedProtocolMessageType( "BoxEncodingsClipRange", (_message.Message,), { "DESCRIPTOR": _CONVOLUTIONALBOXPREDICTOR_BOXENCODINGSCLIPRANGE, "__module__": "object_detection.protos.box_predictor_pb2" # @@protoc_insertion_point(class_scope:object_detection.protos.ConvolutionalBoxPredictor.BoxEncodingsClipRange) }, ), "DESCRIPTOR": _CONVOLUTIONALBOXPREDICTOR, "__module__": "object_detection.protos.box_predictor_pb2" # @@protoc_insertion_point(class_scope:object_detection.protos.ConvolutionalBoxPredictor) }, ) _sym_db.RegisterMessage(ConvolutionalBoxPredictor) _sym_db.RegisterMessage(ConvolutionalBoxPredictor.BoxEncodingsClipRange) WeightSharedConvolutionalBoxPredictor = _reflection.GeneratedProtocolMessageType( "WeightSharedConvolutionalBoxPredictor", (_message.Message,), { "BoxEncodingsClipRange": _reflection.GeneratedProtocolMessageType( "BoxEncodingsClipRange", (_message.Message,), { "DESCRIPTOR": _WEIGHTSHAREDCONVOLUTIONALBOXPREDICTOR_BOXENCODINGSCLIPRANGE, "__module__": "object_detection.protos.box_predictor_pb2" # @@protoc_insertion_point(class_scope:object_detection.protos.WeightSharedConvolutionalBoxPredictor.BoxEncodingsClipRange) }, ), "DESCRIPTOR": _WEIGHTSHAREDCONVOLUTIONALBOXPREDICTOR, "__module__": "object_detection.protos.box_predictor_pb2" # @@protoc_insertion_point(class_scope:object_detection.protos.WeightSharedConvolutionalBoxPredictor) }, ) _sym_db.RegisterMessage(WeightSharedConvolutionalBoxPredictor) _sym_db.RegisterMessage(WeightSharedConvolutionalBoxPredictor.BoxEncodingsClipRange) MaskRCNNBoxPredictor = _reflection.GeneratedProtocolMessageType( "MaskRCNNBoxPredictor", (_message.Message,), { "DESCRIPTOR": _MASKRCNNBOXPREDICTOR, "__module__": "object_detection.protos.box_predictor_pb2" # @@protoc_insertion_point(class_scope:object_detection.protos.MaskRCNNBoxPredictor) }, ) _sym_db.RegisterMessage(MaskRCNNBoxPredictor) RfcnBoxPredictor = _reflection.GeneratedProtocolMessageType( "RfcnBoxPredictor", (_message.Message,), { "DESCRIPTOR": _RFCNBOXPREDICTOR, "__module__": "object_detection.protos.box_predictor_pb2" # @@protoc_insertion_point(class_scope:object_detection.protos.RfcnBoxPredictor) }, ) _sym_db.RegisterMessage(RfcnBoxPredictor) # @@protoc_insertion_point(module_scope)

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0.639353

0.622065

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0

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0.29182

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0.789371

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null

0

4

d5cae9eddcc24989c5ad5066be8bf89aed6ac530

25

py

Python

python/testData/completion/strFormat.after.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

2

2019-04-28T07:48:50.000Z

2020-12-11T14:18:08.000Z

python/testData/completion/strFormat.after.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

173

2018-07-05T13:59:39.000Z

2018-08-09T01:12:03.000Z

python/testData/completion/strFormat.after.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

2

2020-03-15T08:57:37.000Z

2020-04-07T04:48:14.000Z

'{0}'.format(1).encode()

12.5

24

0.56

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25

3.5

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25

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true

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0

null

0

1

0

null

0

1

0

4

d5eefbd70c8053feafd8b41a5ce1031f8d38f8db

517

py

Python

python/terra_proto/cosmos/genutil/v1beta1/__init__.py

Vritra4/terra.proto

977264b7c3e0f9d135120d77b48657b82f5eacf6

[ "Apache-2.0" ]

1

2022-02-22T06:18:40.000Z

python/osmosis_proto/cosmos/genutil/v1beta1/__init__.py

fabio-nukui/osmosis.proto

4780f22681881626b853109971602a6e29a3fb69

[ "Apache-2.0" ]

null

python/osmosis_proto/cosmos/genutil/v1beta1/__init__.py

fabio-nukui/osmosis.proto

4780f22681881626b853109971602a6e29a3fb69

[ "Apache-2.0" ]

null

# Generated by the protocol buffer compiler. DO NOT EDIT! # sources: cosmos/genutil/v1beta1/genesis.proto # plugin: python-betterproto from dataclasses import dataclass from typing import List import betterproto from betterproto.grpc.grpclib_server import ServiceBase @dataclass(eq=False, repr=False) class GenesisState(betterproto.Message): """GenesisState defines the raw genesis transaction in JSON.""" # gen_txs defines the genesis transactions. gen_txs: List[bytes] = betterproto.bytes_field(1)

30.411765

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0

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0.133462

517

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0

1

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true

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null

0

1

0

null

0

1

0

1

0

1

0

4

d5fbf6d17bd1b08088a25a6d02610e7e96abee86

19,606

py

Python

tests/functional/utils/expected_traces.py

johnson2427/ape

e0dbce86d7ddb4574df109f443718f19dc183608

[ "Apache-2.0" ]

null

tests/functional/utils/expected_traces.py

johnson2427/ape

e0dbce86d7ddb4574df109f443718f19dc183608

[ "Apache-2.0" ]

1

2022-02-12T01:31:16.000Z

2022-02-22T00:26:49.000Z

tests/functional/utils/expected_traces.py

johnson2427/ape

e0dbce86d7ddb4574df109f443718f19dc183608

[ "Apache-2.0" ]

null

LOCAL_TRACE = """ ContractA.methodWithoutArguments() -> 0x00..7a9c [469604 gas] ├── CALL: SYMBOL.<0x045856de> [461506 gas] ├── SYMBOL.methodB1(lolol="ice-cream", dynamo=345457847457457458457457457) │ [402067 gas] │ ├── ContractC.getSomeList() -> [ │ │ 3425311345134513461345134534531452345, │ │ 111344445534535353, │ │ 993453434534534534534977788884443333 │ │ ] [370103 gas] │ └── ContractC.methodC1( │ windows95="simpler", │ jamaica=345457847457457458457457457, │ cardinal=0xF2Df0b975c0C9eFa2f8CA0491C2d1685104d2488 │ ) [363869 gas] ├── SYMBOL.callMe(blue=0x1e59ce931B4CFea3fe4B875411e280e173cB7A9C) -> │ 0x1e59ce931B4CFea3fe4B875411e280e173cB7A9C [233432 gas] ├── SYMBOL.methodB2(trombone=0x1e59ce931B4CFea3fe4B875411e280e173cB7A9C) [231951 │ gas] │ ├── ContractC.paperwork(0xF2Df0b975c0C9eFa2f8CA0491C2d1685104d2488) -> ( │ │ os="simpler", │ │ country=345457847457457458457457457, │ │ wings=0xF2Df0b975c0C9eFa2f8CA0491C2d1685104d2488 │ │ ) [227360 gas] │ ├── ContractC.methodC1( │ │ windows95="simpler", │ │ jamaica=0, │ │ cardinal=0x274b028b03A250cA03644E6c578D81f019eE1323 │ │ ) [222263 gas] │ ├── ContractC.methodC2() [147236 gas] │ └── ContractC.methodC2() [122016 gas] ├── ContractC.addressToValue(0x1e59ce931B4CFea3fe4B875411e280e173cB7A9C) -> 0 │ [100305 gas] ├── SYMBOL.bandPractice(0x1e59ce931B4CFea3fe4B875411e280e173cB7A9C) -> 0 [94270 │ gas] ├── SYMBOL.methodB1(lolol="lemondrop", dynamo=0) [92321 gas] │ ├── ContractC.getSomeList() -> [ │ │ 3425311345134513461345134534531452345, │ │ 111344445534535353, │ │ 993453434534534534534977788884443333 │ │ ] [86501 gas] │ └── ContractC.methodC1( │ windows95="simpler", │ jamaica=0, │ cardinal=0xF2Df0b975c0C9eFa2f8CA0491C2d1685104d2488 │ ) [82729 gas] └── SYMBOL.methodB1(lolol="snitches_get_stiches", dynamo=111) [55252 gas] ├── ContractC.getSomeList() -> [ │ 3425311345134513461345134534531452345, │ 111344445534535353, │ 993453434534534534534977788884443333 │ ] [52079 gas] └── ContractC.methodC1( windows95="simpler", jamaica=111, cardinal=0xF2Df0b975c0C9eFa2f8CA0491C2d1685104d2488 ) [48306 gas] """ MAINNET_TRACE = """ DSProxy.execute(_target=CompoundFlashLoanTaker, _data=0xf7..0000) -> '' [1070997 gas] [0.02016 value] └── (delegate) CompoundFlashLoanTaker.boostWithLoan( _exData=[ TetherToken, 0xEeeeeEeeeEeEeeEeEeEeeEEEeeeeEeeeeeeeEEeE, 22000000000, 0, 2004750000000000000000000000, 0x3Ba0319533C578527aE69BF7fA2D289F20B9B55c, Exchange, 0xa6..ac67, 2025000000000000000000000000 ], _cAddresses=['CEther', 'CErc20Delegator'], _gasCost=0 ) [1041213 gas] [0.02016 value] ├── GasToken2.balanceOf(owner=DSProxy) -> 0 [1303 gas] ├── STATICCALL: Unitroller.<0x5ec88c79> [118577 gas] │ └── (delegate) Comptroller.getAccountLiquidity(account=DSProxy) -> [0, 100216217422739835644076, 0] [116582 gas] │ ├── CEther.getAccountSnapshot(account=DSProxy) -> [ │ │ 0, │ │ 3588278641674, │ │ 0, │ │ 200289710046448107458251737 │ │ ] [7747 gas] │ ├── UniswapAnchoredView.getUnderlyingPrice(cToken=CEther) -> 493495000000000000000 [2843 gas] │ ├── CErc20Delegator.getAccountSnapshot(account=DSProxy) -> [0, 0, 0, 207745199249144216861107666] [20072 gas] │ │ └── CErc20Delegator.delegateToImplementation(data=0xc3..52dd) -> 0x00..65d2 [16646 gas] │ │ └── (delegate) CDaiDelegate.getAccountSnapshot(account=DSProxy) -> [0, 0, 0, 207745199249144216861107666] [13461 gas] │ │ ├── STATICCALL: 0x197E90f9FAD81970bA7976f33CbD77088E5D7cf7.<0x0bebac86> [1215 gas] │ │ └── STATICCALL: 0x197E90f9FAD81970bA7976f33CbD77088E5D7cf7.<0xc92aecc4> [1093 gas] │ ├── UniswapAnchoredView.getUnderlyingPrice(cToken=CErc20Delegator) -> 1006638000000000000 [2931 gas] │ ├── CErc20Delegator.getAccountSnapshot(account=DSProxy) -> [ │ │ 0, │ │ 1997736502878, │ │ 0, │ │ 201101221772832467767996110 │ │ ] [16641 gas] │ │ └── CErc20Delegator.delegateToImplementation(data=0xc3..52dd) -> 0x00..2ece [13215 gas] │ │ └── (delegate) CCompLikeDelegate.getAccountSnapshot(account=DSProxy) -> [ │ │ 0, │ │ 1997736502878, │ │ 0, │ │ 201101221772832467767996110 │ │ ] [10030 gas] │ │ └── STATICCALL: 0x1f9840a85d5aF5bf1D1762F925BDADdC4201F984.<0x70a08231> [1497 gas] │ ├── UniswapAnchoredView.getUnderlyingPrice(cToken=CErc20Delegator) -> 3722050000000000000 [3635 gas] │ ├── CErc20Delegator.getAccountSnapshot(account=DSProxy) -> [0, 0, 166685375217, 203684337093459] [19027 gas] │ │ └── CErc20Delegator.delegateToImplementation(data=0xc3..52dd) -> 0x00..0b53 [16924 gas] │ │ └── (delegate) CErc20Delegate.getAccountSnapshot(account=DSProxy) -> [0, 0, 166685375217, 203684337093459] [13739 gas] │ │ └── TetherToken.balanceOf(who=CErc20Delegator) -> 9409870971804 [2431 gas] │ └── UniswapAnchoredView.getUnderlyingPrice(cToken=CErc20Delegator) -> 1000000000000000000000000000000 [2299 gas] ├── STATICCALL: Unitroller.<0x7dc0d1d0> [3073 gas] │ └── (delegate) Comptroller.oracle() -> UniswapAnchoredView [1105 gas] ├── CErc20Delegator.accrueInterest() -> 0 [42845 gas] │ └── (delegate) CErc20Delegate.accrueInterest() -> 0 [40830 gas] │ ├── TetherToken.balanceOf(who=CErc20Delegator) -> 9409870971804 [2431 gas] │ └── JumpRateModelV2.getBorrowRate( │ cash=9409870971804, │ borrows=31969908998585, │ reserves=116282802900 │ ) -> 18425955753 [3858 gas] ├── UniswapAnchoredView.getUnderlyingPrice(cToken=CErc20Delegator) -> 1000000000000000000000000000000 [2299 gas] ├── TetherToken.balanceOf(who=0x3dfd23A6c5E8BbcFc9581d2E864a68feb6a076d3) -> 7334120405865 [2431 gas] ├── CALL: Unitroller.<0xc2998238> [7351 gas] │ └── (delegate) Comptroller.enterMarkets(cTokens=['CEther', 'CErc20Delegator']) -> [0, 0] [5335 gas] ├── DSProxy.owner() -> tx.origin [1247 gas] ├── STATICCALL: Unitroller.<0x5ec88c79> [118577 gas] │ └── (delegate) Comptroller.getAccountLiquidity(account=DSProxy) -> [0, 100215845790739835644076, 0] [116582 gas] │ ├── CEther.getAccountSnapshot(account=DSProxy) -> [ │ │ 0, │ │ 3588278641674, │ │ 0, │ │ 200289710046448107458251737 │ │ ] [7747 gas] │ ├── UniswapAnchoredView.getUnderlyingPrice(cToken=CEther) -> 493495000000000000000 [2843 gas] │ ├── CErc20Delegator.getAccountSnapshot(account=DSProxy) -> [0, 0, 0, 207745199249144216861107666] [20072 gas] │ │ └── CErc20Delegator.delegateToImplementation(data=0xc3..52dd) -> 0x00..65d2 [16646 gas] │ │ └── (delegate) CDaiDelegate.getAccountSnapshot(account=DSProxy) -> [0, 0, 0, 207745199249144216861107666] [13461 gas] │ │ ├── STATICCALL: 0x197E90f9FAD81970bA7976f33CbD77088E5D7cf7.<0x0bebac86> [1215 gas] │ │ └── STATICCALL: 0x197E90f9FAD81970bA7976f33CbD77088E5D7cf7.<0xc92aecc4> [1093 gas] │ ├── UniswapAnchoredView.getUnderlyingPrice(cToken=CErc20Delegator) -> 1006638000000000000 [2931 gas] │ ├── CErc20Delegator.getAccountSnapshot(account=DSProxy) -> [ │ │ 0, │ │ 1997736502878, │ │ 0, │ │ 201101221772832467767996110 │ │ ] [16641 gas] │ │ └── CErc20Delegator.delegateToImplementation(data=0xc3..52dd) -> 0x00..2ece [13215 gas] │ │ └── (delegate) CCompLikeDelegate.getAccountSnapshot(account=DSProxy) -> [ │ │ 0, │ │ 1997736502878, │ │ 0, │ │ 201101221772832467767996110 │ │ ] [10030 gas] │ │ └── STATICCALL: 0x1f9840a85d5aF5bf1D1762F925BDADdC4201F984.<0x70a08231> [1497 gas] │ ├── UniswapAnchoredView.getUnderlyingPrice(cToken=CErc20Delegator) -> 3722050000000000000 [3635 gas] │ ├── CErc20Delegator.getAccountSnapshot(account=DSProxy) -> [0, 0, 166685746849, 203684618567521] [19027 gas] │ │ └── CErc20Delegator.delegateToImplementation(data=0xc3..52dd) -> 0x00..ff61 [16924 gas] │ │ └── (delegate) CErc20Delegate.getAccountSnapshot(account=DSProxy) -> [0, 0, 166685746849, 203684618567521] [13739 gas] │ │ └── TetherToken.balanceOf(who=CErc20Delegator) -> 9409870971804 [2431 gas] │ └── UniswapAnchoredView.getUnderlyingPrice(cToken=CErc20Delegator) -> 1000000000000000000000000000000 [2299 gas] ├── STATICCALL: Unitroller.<0x7dc0d1d0> [3073 gas] │ └── (delegate) Comptroller.oracle() -> UniswapAnchoredView [1105 gas] ├── CErc20Delegator.accrueInterest() -> 0 [3195 gas] │ └── (delegate) CErc20Delegate.accrueInterest() -> 0 [1180 gas] ├── UniswapAnchoredView.getUnderlyingPrice(cToken=CErc20Delegator) -> 1000000000000000000000000000000 [2299 gas] ├── CErc20Delegator.borrow(borrowAmount=22000000000) -> 0 [274012 gas] │ └── (delegate) CErc20Delegate.borrow(borrowAmount=22000000000) -> 0 [271908 gas] │ ├── CALL: Unitroller.<0xda3d454c> [193142 gas] │ │ └── (delegate) Comptroller.borrowAllowed( │ │ cToken=CErc20Delegator, │ │ borrower=DSProxy, │ │ borrowAmount=22000000000 │ │ ) -> 0 [191162 gas] │ │ ├── UniswapAnchoredView.getUnderlyingPrice(cToken=CErc20Delegator) -> 1000000000000000000000000000000 [2299 gas] │ │ ├── CEther.getAccountSnapshot(account=DSProxy) -> [ │ │ │ 0, │ │ │ 3588278641674, │ │ │ 0, │ │ │ 200289710046448107458251737 │ │ │ ] [7747 gas] │ │ ├── UniswapAnchoredView.getUnderlyingPrice(cToken=CEther) -> 493495000000000000000 [2843 gas] │ │ ├── CErc20Delegator.getAccountSnapshot(account=DSProxy) -> [0, 0, 0, 207745199249144216861107666] [20072 gas] │ │ │ └── CErc20Delegator.delegateToImplementation(data=0xc3..52dd) -> 0x00..65d2 [16646 gas] │ │ │ └── (delegate) CDaiDelegate.getAccountSnapshot(account=DSProxy) -> [0, 0, 0, 207745199249144216861107666] [13461 gas] │ │ │ ├── STATICCALL: 0x197E90f9FAD81970bA7976f33CbD77088E5D7cf7.<0x0bebac86> [1215 gas] │ │ │ └── STATICCALL: 0x197E90f9FAD81970bA7976f33CbD77088E5D7cf7.<0xc92aecc4> [1093 gas] │ │ ├── UniswapAnchoredView.getUnderlyingPrice(cToken=CErc20Delegator) -> 1006638000000000000 [2931 gas] │ │ ├── CErc20Delegator.getAccountSnapshot(account=DSProxy) -> [ │ │ │ 0, │ │ │ 1997736502878, │ │ │ 0, │ │ │ 201101221772832467767996110 │ │ │ ] [16641 gas] │ │ │ └── CErc20Delegator.delegateToImplementation(data=0xc3..52dd) -> 0x00..2ece [13215 gas] │ │ │ └── (delegate) CCompLikeDelegate.getAccountSnapshot(account=DSProxy) -> [ │ │ │ 0, │ │ │ 1997736502878, │ │ │ 0, │ │ │ 201101221772832467767996110 │ │ │ ] [10030 gas] │ │ │ └── STATICCALL: 0x1f9840a85d5aF5bf1D1762F925BDADdC4201F984.<0x70a08231> [1497 gas] │ │ ├── UniswapAnchoredView.getUnderlyingPrice(cToken=CErc20Delegator) -> 3722050000000000000 [3635 gas] │ │ ├── CErc20Delegator.getAccountSnapshot(account=DSProxy) -> [0, 0, 166685746849, 203684618567521] [19027 gas] │ │ │ └── CErc20Delegator.delegateToImplementation(data=0xc3..52dd) -> 0x00..ff61 [16924 gas] │ │ │ └── (delegate) CErc20Delegate.getAccountSnapshot(account=DSProxy) -> [0, 0, 166685746849, 203684618567521] [13739 gas] │ │ │ └── TetherToken.balanceOf(who=CErc20Delegator) -> 9409870971804 [2431 gas] │ │ ├── UniswapAnchoredView.getUnderlyingPrice(cToken=CErc20Delegator) -> 1000000000000000000000000000000 [2299 gas] │ │ ├── CErc20Delegator.borrowIndex() -> 1045063620842360840 [1087 gas] │ │ ├── CErc20Delegator.totalBorrows() -> 31969980276796 [1154 gas] │ │ ├── CErc20Delegator.borrowBalanceStored(account=DSProxy) -> 166685746849 [9329 gas] │ │ │ └── CErc20Delegator.delegateToImplementation(data=0x95..52dd) -> 0x00..a6a1 [7205 gas] │ │ │ └── (delegate) CErc20Delegate.borrowBalanceStored(account=DSProxy) -> 166685746849 [4248 gas] │ │ ├── Comp.balanceOf(account=Unitroller) -> 37814309293046111340279 [1488 gas] │ │ └── Comp.transfer(dst=DSProxy, rawAmount=454823446030875984) -> True [19090 gas] │ ├── TetherToken.balanceOf(who=CErc20Delegator) -> 9409870971804 [2431 gas] │ ├── TetherToken.transfer(_to=DSProxy, _value=22000000000) [34601 gas] │ └── CALL: Unitroller.<0x5c778605> [2261 gas] │ └── (delegate) Comptroller.borrowVerify( │ cToken=CErc20Delegator, │ borrower=DSProxy, │ borrowAmount=22000000000 │ ) [354 gas] ├── CErc20Delegator.underlying() -> TetherToken [1148 gas] ├── BotRegistry.botList(tx.origin) -> False [1136 gas] ├── CErc20Delegator.underlying() -> TetherToken [1148 gas] ├── Discount.isCustomFeeSet(_user=tx.origin) -> False [1299 gas] ├── TetherToken.transfer( │ _to=0x322d58b9E75a6918f7e7849AEe0fF09369977e08, │ _value=55000000 │ ) [15401 gas] ├── TetherToken.approve(_spender=ERC20Proxy, _value=0) [4160 gas] ├── TetherToken.approve(_spender=ERC20Proxy, _value=21945000000) [24353 gas] ├── ZrxAllowlist.isNonPayableAddr(_addr=Exchange) -> False [1155 gas] ├── ZrxAllowlist.isZrxAddr(_zrxAddr=Exchange) -> True [1177 gas] ├── Exchange.marketSellOrdersFillOrKill( │ orders=[ │ [ │ 0x57845987C8C859D52931eE248D8d84aB10532407, │ DSProxy, │ 0x1000000000000000000000000000000000000011, │ ZERO_ADDRESS, │ 44587161153335369728, │ 22021999999, │ 0, │ 0, │ 1605676234, │ 1605676134823, │ 0xf4..6cc2, │ 0xf4..1ec7, │ '', │ '' │ ], │ [ │ 0xC47b7094F378e54347e281AaB170E8ccA69d880A, │ ZERO_ADDRESS, │ ZERO_ADDRESS, │ ZERO_ADDRESS, │ 44101517707448430621, │ 22000000000, │ 0, │ 0, │ 1605683335, │ 45887941670002145135917800926357172768151492260295357762609187565998706361158, │ 0xdc..6cc2, │ 0xf4..1ec7, │ '', │ '' │ ] │ ], │ takerAssetFillAmount=21945000000, │ signatures=['0x1c..f103', "\'\\x04\'"] │ ) -> ( │ makerAssetFilledAmount=44431261990481152968, │ takerAssetFilledAmount=21945000000, │ makerFeePaid=0, │ takerFeePaid=0, │ protocolFeePaid=6650000000000000 │ ) [172105 gas] [0.02016 value] │ ├── (delegate) Exchange.fillOrder( │ │ order=[ │ │ 0x57845987C8C859D52931eE248D8d84aB10532407, │ │ DSProxy, │ │ 0x1000000000000000000000000000000000000011, │ │ ZERO_ADDRESS, │ │ 44587161153335369728, │ │ 22021999999, │ │ 0, │ │ 0, │ │ 1605676234, │ │ 1605676134823, │ │ 0xf4..6cc2, │ │ 0xf4..1ec7, │ │ '', │ │ '' │ │ ], │ │ takerAssetFillAmount=21945000000, │ │ signature=0x1c..f103 │ │ ) -> ( │ │ makerAssetFilledAmount=44431261990481152968, │ │ takerAssetFilledAmount=21945000000, │ │ makerFeePaid=0, │ │ takerFeePaid=0, │ │ protocolFeePaid=6650000000000000 │ │ ) [140727 gas] [0.02016 value] │ │ ├── CALL: ERC20Proxy.<0xa85e59e4> [19278 gas] │ │ │ └── TetherToken.transferFrom( │ │ │ _from=DSProxy, │ │ │ _to=0x57845987C8C859D52931eE248D8d84aB10532407, │ │ │ _value=21945000000 │ │ │ ) [17224 gas] │ │ ├── CALL: ERC20Proxy.<0xa85e59e4> [33079 gas] │ │ │ └── WETH9.transferFrom( │ │ │ src=0x57845987C8C859D52931eE248D8d84aB10532407, │ │ │ dst=DSProxy, │ │ │ wad=44431261990481152968 │ │ │ ) -> True [31025 gas] │ │ └── CALL: StakingProxy.<0xa3b4a327> [20145 gas] [0.00665 value] │ │ └── (delegate) Staking.payProtocolFee( │ │ makerAddress=0x57845987C8C859D52931eE248D8d84aB10532407, │ │ payerAddress=DSProxy, │ │ protocolFee=6650000000000000 │ │ ) [18173 gas] [0.00665 value] │ └── CALL: DSProxy [40 gas] [0.01351 value] ├── TetherToken.balanceOf(who=DSProxy) -> 0 [2431 gas] ├── WETH9.balanceOf(DSProxy) -> 44431261990481152968 [1234 gas] ├── WETH9.withdraw(wad=44431261990481152968) [11880 gas] │ └── CALL: DSProxy [40 gas] [44.43126199 value] ├── WETH9.balanceOf(DSProxy) -> 0 [1234 gas] ├── CEther.mint() [128739 gas] [44.42461199 value] │ ├── WhitePaperInterestRateModel.getBorrowRate( │ │ cash=1167291315524828085504226, │ │ borrows=51205735075389706087574, │ │ _reserves=98073114143716073182 │ │ ) -> [0, 11511781014] [5403 gas] │ ├── CALL: Unitroller.<0x4ef4c3e1> [48350 gas] │ │ └── (delegate) Comptroller.mintAllowed( │ │ cToken=CEther, │ │ minter=DSProxy, │ │ mintAmount=44424611990481152968 │ │ ) -> 0 [46370 gas] │ │ ├── CEther.totalSupply() -> 6083183091150922 [1044 gas] │ │ ├── CEther.balanceOf(owner=DSProxy) -> 3588278641674 [1253 gas] │ │ ├── Comp.balanceOf(account=Unitroller) -> 37813854469600080464295 [1488 gas] │ │ └── Comp.transfer(dst=DSProxy, rawAmount=39357597512189848) -> True [10690 gas] │ └── CALL: Unitroller.<0x41c728b9> [2316 gas] │ └── (delegate) Comptroller.mintVerify( │ cToken=CEther, │ minter=DSProxy, │ actualMintAmount=44424611990481152968, │ mintTokens=221801768562 │ ) [403 gas] ├── CALL: 0x5668EAd1eDB8E2a4d724C8fb9cB5fFEabEB422dc [0 gas] [0.02016 value] └── DefisaverLogger.Log( _contract=DSProxy, _caller=tx.origin, _logName="CompoundBoost", _data=0x00..1ec7 ) [5060 gas] """

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91014467d56cacd744fbe9fd70d9bcb9181250fc

74

py

Python

bless/exceptions.py

FouziaRaza17/bless

5fc5b4ef129b1dee27e28437b7d102d1c59c66eb

[ "MIT" ]

11

2020-12-15T04:57:51.000Z

2022-03-14T12:39:59.000Z

bless/exceptions.py

FouziaRaza17/bless

5fc5b4ef129b1dee27e28437b7d102d1c59c66eb

[ "MIT" ]

37

2020-11-20T22:17:42.000Z

2022-03-29T19:33:27.000Z

bless/exceptions.py

FouziaRaza17/bless

5fc5b4ef129b1dee27e28437b7d102d1c59c66eb

[ "MIT" ]

7

2020-12-01T16:43:38.000Z

2022-02-16T21:26:41.000Z

class BlessError(Exception): """ Base Exception for Bless """

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785

py

Python

commonfunction/buildin/bool.py

MDGSF/PythonPractice

77e81d7c965c5de1629df223cb27dd541d128eb1

[ "Apache-2.0" ]

1

2019-04-18T08:26:16.000Z

commonfunction/buildin/bool.py

MDGSF/PythonPractice

77e81d7c965c5de1629df223cb27dd541d128eb1

[ "Apache-2.0" ]

1

2019-04-18T08:45:37.000Z

2019-04-18T09:02:46.000Z

commonfunction/buildin/bool.py

MDGSF/PythonPractice

77e81d7c965c5de1629df223cb27dd541d128eb1

[ "Apache-2.0" ]

null

#!/usr/bin/env python # -*- coding: UTF-8 -*- # https://docs.python.org/3/library/functions.html#bool # https://docs.python.org/3/library/stdtypes.html#truth # class bool([x]) # Return a Boolean value, i.e. one of True or False. def test1(): print(bool(0)) print(bool(0.0)) print(bool('')) print(bool(None)) print(bool([])) print(bool({})) print(bool(())) print(bool(set())) print(bool(range(0))) print(bool(False)) def test2(): print(bool(100)) print(bool(100.99)) print(bool('huangjian')) print(bool([1, 2, 3])) print(bool({1, 2, 3})) print(bool((1, 2, 3))) print(bool({"a": 1})) print(bool(range(10))) print(bool(True)) def main(): test1() test2() if __name__ == "__main__": main()

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910ebd0b7eac8c2eb8361e6db6357df280e3dbff

382

py

Python

NodeDefender/mqtt/command/icpe/sys/time.py

CTSNE/NodeDefender

24e19f53a27d3b53e599cba8b1448f8f16c0bd5e

[ "MIT" ]

4

2016-09-23T17:51:05.000Z

2017-03-14T02:52:26.000Z

NodeDefender/mqtt/command/icpe/sys/time.py

CTSNE/NodeDefender

24e19f53a27d3b53e599cba8b1448f8f16c0bd5e

[ "MIT" ]

1

2016-09-22T11:32:33.000Z

2017-11-14T10:00:24.000Z

NodeDefender/mqtt/command/icpe/sys/time.py

CTSNE/NodeDefender

24e19f53a27d3b53e599cba8b1448f8f16c0bd5e

[ "MIT" ]

4

2016-10-09T19:05:16.000Z

2020-05-14T04:00:30.000Z

from NodeDefender.mqtt.command import fire, topic_format def set(mac_address, *args): topic = topic_format.format(mac_address, "sys", "time:ntp", "set") payload = list(args) return fire(topic, payload = payload, icpe = mac_address) def qry(mac_address): topic = topic_format.format(mac_address, "sys", "time:ntp", "qry") return fire(topic, icpe = mac_address)

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9113db8232d16c049aed7e2889fe38f26217ce6b

404

py

Python

passing/cq_examples/test_ex024.py

RubenRubens/cq-testing

558631a56b5751ef529f33d0aea4fe62ed8d5549

[ "WTFPL" ]

null

passing/cq_examples/test_ex024.py

RubenRubens/cq-testing

558631a56b5751ef529f33d0aea4fe62ed8d5549

[ "WTFPL" ]

null

passing/cq_examples/test_ex024.py

RubenRubens/cq-testing

558631a56b5751ef529f33d0aea4fe62ed8d5549

[ "WTFPL" ]

null

import unittest import cq_examples.Ex024_Sweep_With_Multiple_Sections as ex class TestExample024(unittest.TestCase): def test_Ex024(self): # Import and validate self.assertTrue(ex.a.val().isValid()) self.assertTrue(ex.b.val().isValid()) self.assertTrue(ex.c.val().isValid()) self.assertTrue(ex.d.val().isValid()) self.assertTrue(ex.e.val().isValid())

33.666667

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9117bf2f155c659e091f906b7bfcec24f1f1ed11

128

py

Python

animal_cf/admin.py

masa1203/animal_classification

c4390b550dee5b867895bfc776f0f2b490cbf1d0

[ "MIT" ]

null

animal_cf/admin.py

masa1203/animal_classification

c4390b550dee5b867895bfc776f0f2b490cbf1d0

[ "MIT" ]

null

animal_cf/admin.py

masa1203/animal_classification

c4390b550dee5b867895bfc776f0f2b490cbf1d0

[ "MIT" ]

null

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

21.333333

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null

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1

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1

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913469784227d01370904d6051e975115b7e6064

188

py

Python

demo_typeshed_requests.py

cebucodecamp/pizzapy23-mypy

648f636356e7771cb5b122620dcdd37fcd800553

[ "CC0-1.0" ]

null

demo_typeshed_requests.py

cebucodecamp/pizzapy23-mypy

648f636356e7771cb5b122620dcdd37fcd800553

[ "CC0-1.0" ]

null

demo_typeshed_requests.py

cebucodecamp/pizzapy23-mypy

648f636356e7771cb5b122620dcdd37fcd800553

[ "CC0-1.0" ]

null

import requests # demo_typeshed_requests.py:5: error: "Response" has no attribute "jsom" requests.get('http://cebucodecamp.org').jsom() # or overwrite the definition: stubs/request.pyi

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913b40410555c9a5ded7c3f77cc63ac65960ce56

141

py

Python

setup.py

righ/datafactory

8299df4e29472381ccfe91535fdecf8e97a46d32

[ "Apache-2.0" ]

2

2015-07-09T08:49:32.000Z

2015-09-04T13:43:40.000Z

setup.py

righ/datafactory

8299df4e29472381ccfe91535fdecf8e97a46d32

[ "Apache-2.0" ]

1

2020-06-06T13:12:39.000Z

setup.py

righ/datafactory

8299df4e29472381ccfe91535fdecf8e97a46d32

[ "Apache-2.0" ]

1

2020-11-06T08:11:51.000Z

#!/usr/bin/env python # coding: utf-8 from setuptools import setup, find_packages setup( packages=find_packages(exclude=['tests']), )

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913d1415d718f59e3c4db89fe12daee133b7c239

146

py

Python

tests_basic/_test_all.py

cpbhatt/pylinac

e2ef93ef9e9ba0afc8491d41a53cce468c0c9f2c

[ "MIT" ]

100

2015-03-05T02:22:29.000Z

2022-03-23T19:13:01.000Z

tests_basic/_test_all.py

kkkkwan/pylinac

14a5296ae4ee0ecb01865d08f15070c82e19fc45

[ "MIT" ]

322

2015-01-26T20:05:18.000Z

2022-01-13T14:11:21.000Z

tests_basic/_test_all.py

kkkkwan/pylinac

14a5296ae4ee0ecb01865d08f15070c82e19fc45

[ "MIT" ]

78

2015-04-20T19:35:02.000Z

2022-02-17T00:06:44.000Z

from pathlib import Path import warnings from tests_basic import run_tests warnings.filterwarnings("ignore") run_tests(Path(__file__).parent)

14.6

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9143fa88b654815f506b258f85f02550294a9404

781

py

Python

product/migrations/0005_auto_20200309_0256.py

KylebitXY/myline

dce12e1575ea709e4ee6d35ba84df0fc17a6a961

[ "MIT" ]

null

product/migrations/0005_auto_20200309_0256.py

KylebitXY/myline

dce12e1575ea709e4ee6d35ba84df0fc17a6a961

[ "MIT" ]

null

product/migrations/0005_auto_20200309_0256.py

KylebitXY/myline

dce12e1575ea709e4ee6d35ba84df0fc17a6a961

[ "MIT" ]

null

# Generated by Django 3.0.3 on 2020-03-09 02:56 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('product', '0004_brand_category'), ] operations = [ migrations.RenameField( model_name='brand', old_name='BRDCategoryID', new_name='categoryID', ), migrations.RenameField( model_name='brand', old_name='BRDName', new_name='name', ), migrations.RenameField( model_name='category', old_name='CImage', new_name='image', ), migrations.RenameField( model_name='category', old_name='CName', new_name='name', ), ]

22.970588

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0

4

e673f3afd46311c4e4edfff682643e5e8b35acbe

166

py

Python

src/huaytools/pytorch/data/__init__.py

imhuay/studies-gitbook

69a31c20c91d131d0fafce0622f4035b9b95e93a

[ "MIT" ]

100

2021-10-13T01:22:27.000Z

2022-03-31T09:52:49.000Z

src/huaytools/pytorch/data/__init__.py

imhuay/studies-gitbook

69a31c20c91d131d0fafce0622f4035b9b95e93a

[ "MIT" ]

null

src/huaytools/pytorch/data/__init__.py

imhuay/studies-gitbook

69a31c20c91d131d0fafce0622f4035b9b95e93a

[ "MIT" ]

27

2021-11-01T01:05:09.000Z

2022-03-31T03:32:01.000Z

#!/usr/bin/env python # -*- coding:utf-8 -*- """ Time: 2021-11-19 11:06 上午 Author: huayang Subject: """ from ._basic import * from .data_loader_for_bert import *

11.857143

35

0.656627

26

166

4.038462

0.884615

0

0.093525

0.162651

166

13

36

12.769231

0.661871

0.566265

0

1

0

true

0

1

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1

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0

null

0

1

0

1

0

1

0

4

e6959a2ccedccb5edae4cac7c7a2245d588f827a

423

py

Python

blog/admin.py

qzjlovesql/bbs

0e11fac63352a9eec7f361cfd377f539d14eff4a

[ "MIT" ]

null

blog/admin.py

qzjlovesql/bbs

0e11fac63352a9eec7f361cfd377f539d14eff4a

[ "MIT" ]

null

blog/admin.py

qzjlovesql/bbs

0e11fac63352a9eec7f361cfd377f539d14eff4a

[ "MIT" ]

null

from django.contrib import admin from blog import models # Register your models here. admin.site.register(models.UserInfo) admin.site.register(models.Article) admin.site.register(models.Blog) admin.site.register(models.Tag) admin.site.register(models.Category) admin.site.register(models.Comment) admin.site.register(models.ArticleUpDown) admin.site.register(models.ArticleDetail) admin.site.register(models.Article2Tag)

28.2

41

0.829787

58

423

6.051724

0.327586

0.230769

0.435897

0.589744

0

0.002506

0.056738

423

14

42

30.214286

0.877193

0.061466

0

1

0

true

0

0.181818

0

0.181818

0

null

1

0

null

0

1

0

4

e6af435efc8fb43304b09cfc2ea9befd392562d9

457

py

Python

class-notes/chapter_11/c11-2.py

rhoenkelevra/python_simple_applications

28ceb5f9fe7ecf11d606d49463385e92927e8f98

[ "MIT" ]

null

class-notes/chapter_11/c11-2.py

rhoenkelevra/python_simple_applications

28ceb5f9fe7ecf11d606d49463385e92927e8f98

[ "MIT" ]

null

class-notes/chapter_11/c11-2.py

rhoenkelevra/python_simple_applications

28ceb5f9fe7ecf11d606d49463385e92927e8f98

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Created on Mon Jul 19 14:17:26 2021 @author: user24 """ colors = ['red', 'blue', 'green', 'yellow'] colors_iter = iter(colors) print(type(colors_iter)) print(next(colors_iter)) print(next(colors_iter)) print(next(colors_iter)) print(next(colors_iter)) print(next(colors_iter)) # end of list: StopIteration error

6.924242

60

0.527352

52

457

4.5

0.538462

0.299145

0.320513

0.405983

0.448718

0

0.049505

0.33698

457

65

61

7.030769

0.722772

0.236324

0

0.625

0

0.079295

0

1

0

false

0

0.75

0

null

1

0

null

0

1

0

4

e6ce8f701682506c16cace264e375c8b3130bde5

439

py

Python

tginviter/bot/base_bot.py

cuamckuu/tg-inviter

80b8d4664d1e2628b46ac1a6d58f8495c408d4b4

[ "MIT" ]

20

2020-08-24T19:11:38.000Z

2022-03-17T19:24:50.000Z

tginviter/bot/base_bot.py

bequirky12/tg-inviter

5cad1bc1afce101be03a2cee805931e77b7f6842

[ "MIT" ]

null

tginviter/bot/base_bot.py

bequirky12/tg-inviter

5cad1bc1afce101be03a2cee805931e77b7f6842

[ "MIT" ]

8

2021-02-05T11:51:21.000Z

2022-03-22T08:48:44.000Z

import abc class BaseBot(abc.ABC): @abc.abstractmethod def __init__(self, *, token, deeplink_callback, joinchat_handler): """Abstract class for bot libraries that should use given handlers""" pass @abc.abstractmethod def start(self): """Start blocking bot thread""" pass @abc.abstractmethod def get_name(self): """Return bot's username from API's getMe()""" pass

23.105263

77

0.630979

52

439

5.192308

0.653846

0.188889

0.222222

0.177778

0

0.264237

439

18

78

24.388889

0.835913

0.296128

0

0.545455

0

1

0.272727

false

0.272727

0.090909

0

0.454545

0

null

0

1

0

null

0

1

0

1

0

4

e6e3e1fcea337fe656deea38e45a4105c7be520e

118

py

Python

generators/javascript/javascript_builder/JavaScriptGeneratorUtils.py

ryuta46/catbuffer-generators

8b8df63e792006b01b38d279243f51246e83e0d5

[ "MIT" ]

20

2018-06-15T22:38:41.000Z

2021-04-01T15:08:39.000Z

generators/javascript/javascript_builder/JavaScriptGeneratorUtils.py

ryuta46/catbuffer-generators

8b8df63e792006b01b38d279243f51246e83e0d5

[ "MIT" ]

74

2019-01-23T20:14:44.000Z

2021-01-14T18:33:48.000Z

generators/javascript/javascript_builder/JavaScriptGeneratorUtils.py

ryuta46/catbuffer-generators

8b8df63e792006b01b38d279243f51246e83e0d5

[ "MIT" ]

25

2018-10-26T14:59:45.000Z

2020-10-28T22:33:55.000Z

def indent(instructions, n_indents=1): return [' ' * 4 * n_indents + instruction for instruction in instructions]

39.333333

78

0.728814

15

118

5.6

0.733333

0.190476

0

0.020408

0.169492

118

2

79

59

0.836735

0

0.008475

0

1

0.5

false

0

0.5

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

e6f126d0e6f882b10d9fa5952fecaa89a453c125

309

py

Python

GenPasswd2.py

rowrodney/Automation

b6aa8bc802fa369a974868764c941c80f9edd2d2

[ "MIT" ]

null

GenPasswd2.py

rowrodney/Automation

b6aa8bc802fa369a974868764c941c80f9edd2d2

[ "MIT" ]

null

GenPasswd2.py

rowrodney/Automation

b6aa8bc802fa369a974868764c941c80f9edd2d2

[ "MIT" ]

null

from random import choice import string import time def GenPasswd2(length=8, chars=string.ascii_letters+string.digits+string.punctuation): return ''.join([choice(chars) for i in range(length)]) #for i in range(10): # print(GenPasswd2(120)) while True: time.sleep(.3) print(GenPasswd2(120))

20.6

86

0.721683

45

309

4.933333

0.622222

0.036036

0.054054

0.099099

0

0.04943

0.148867

309

14

87

22.071429

0.794677

0.145631

0

1

0.125

false

0.25

0.375

0.125

0.625

0.125

0

null

0

null

0

1

0

4

e6fc24cb699377064f810921fb25b1e9ded00eaa

309

py

Python

grade.py

himgoyal594/My-Python-Exercise

37ffff35844e68c55b3e08bd24041b8dfbf7f90a

[ "Apache-2.0" ]

null

grade.py

himgoyal594/My-Python-Exercise

37ffff35844e68c55b3e08bd24041b8dfbf7f90a

[ "Apache-2.0" ]

null

grade.py

himgoyal594/My-Python-Exercise

37ffff35844e68c55b3e08bd24041b8dfbf7f90a

[ "Apache-2.0" ]

null

s = raw_input("Enter Score: ") score = float(s) if score >= 0.9 and score <= 1.0 : print 'A' elif score >= 0.8 and score < 0.9 : print 'B' elif score >= 0.7 and score < 0.8 : print 'C' elif score >= 0.6 and score < 0.7 : print 'D' elif score < 0.6 : print 'F' else : print 'Plz enter no. b/w 0 and 1'

20.6

36

0.582524

64

309

2.796875

0.390625

0.268156

0.223464

0.122905

0

0.086207

0.249191

309

14

37

22.071429

0.685345

0

0.139159

0

null

0

null

0.428571

0

null

1

0

null

0

1

0

1

0

4

fc04165ffb23284ee78b92954268649bbe23320c

112

py

Python

ab.py

mahendra1904/pythod-programs

d4d75dac65e9795ea5728f75d90aa0b39296b25e

[ "bzip2-1.0.6" ]

null

ab.py

mahendra1904/pythod-programs

d4d75dac65e9795ea5728f75d90aa0b39296b25e

[ "bzip2-1.0.6" ]

null

ab.py

mahendra1904/pythod-programs

d4d75dac65e9795ea5728f75d90aa0b39296b25e

[ "bzip2-1.0.6" ]

null

a=eval(input("Enter first value ")) b=eval(input("Enter second value ")) f=a**3+b**3+3*a**2*b+3*a*b**2 print(f)

22.4

36

0.625

27

112

2.592593

0.444444

0.257143

0.4

0

0.058824

0.089286

112

4

37

28

0.627451

0

0.330357

0

1

0

false

0

0.25

1

0

null

1

0

1

0

null

0

4

fc18ff746c12b73fc02ae1cb6091f3006c303ec2

242,263

py

Python

large-repo-master/test-3/nb29.py

victorsun123/numpy

1fb036758b4035ab2c132d26f420e5bc3ffc917e

[ "BSD-3-Clause" ]

null

large-repo-master/test-3/nb29.py

victorsun123/numpy

1fb036758b4035ab2c132d26f420e5bc3ffc917e

[ "BSD-3-Clause" ]

null

large-repo-master/test-3/nb29.py

victorsun123/numpy

1fb036758b4035ab2c132d26f420e5bc3ffc917e

[ "BSD-3-Clause" ]

null

# Databricks notebook source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----------

65.636142

2,096

0.984698

3,530

242,263

67.579603

0.988669

0

0.015252

242,263

3,690

2,097

65.65393

0.99995

0.000186

0

1

0

1

0

true

0.000284

0

1

null

0

1

0

null

1

0

1

0

4

fc1d553b6b2046c22538fb1c8d4f549c86c74388

220

py

Python

config.py

ronanduddy/scrubbish

25b8c655ae2fa01ba2dc704f7c87acff63b9204a

[ "MIT" ]

null

config.py

ronanduddy/scrubbish

25b8c655ae2fa01ba2dc704f7c87acff63b9204a

[ "MIT" ]

3

2020-07-09T13:00:18.000Z

2020-07-09T13:01:51.000Z

config.py

ronanduddy/scrubbish

25b8c655ae2fa01ba2dc704f7c87acff63b9204a

[ "MIT" ]

null

import os DOMAIN = os.environ.get("DOMAIN", "test.com") DISTANCE_MATRIX_URL = os.environ.get("DISTANCE_MATRIX_URL", 'distance_matrix.com') DISTANCE_MATRIX_API_KEY = os.environ.get("DISTANCE_MATRIX_API_KEY", 'test key')

36.666667

82

0.781818

34

220

4.735294

0.352941

0.434783

0.223602

0.248447

0.322981

0

0.072727

220

5

83

44

0.789216

0

0.377273

0.104545

0

1

0

false

0

0.25

0

0.25

0

null

1

0

1

0

null

0

4

fc29ab3014e217339a3681f8589efddd7b379252

101

py

Python

wordSequence/Tsp_sequence/test.py

panruotong/Realization-of-SEOE

5e560601e5ee7ec6e690f80956875d1f91151669

[ "Apache-2.0" ]

1

2022-03-17T14:45:01.000Z

wordSequence/Tsp_sequence/test.py

panruotong/Realization-of-SEOE

5e560601e5ee7ec6e690f80956875d1f91151669

[ "Apache-2.0" ]

null

wordSequence/Tsp_sequence/test.py

panruotong/Realization-of-SEOE

5e560601e5ee7ec6e690f80956875d1f91151669

[ "Apache-2.0" ]

null

list = [3, 5, 7, 1, 4, 8, 9, 12] index = [7, 3, 4, 5, 0, 1, 2, 6] list1 = list[index] print(list1)

25.25

33

0.49505

23

101

2.173913

0.652174

0

0.253333

0.257426

101

4

34

25.25

0.413333

0

1

0

false

0

0.25

1

0

null

0

1

0

1

0

1

0

null

0

4

fc3c56fdfa916bbfa1d1c665b7bf89677c850139

120

py

Python

excript/aulas/aula54_atribuicao.py

victorers1/anotacoes_curso_python

c4ef56bcfc7e3baa3944fc2962e8217c6d720b0e

[ "MIT" ]

null

excript/aulas/aula54_atribuicao.py

victorers1/anotacoes_curso_python

c4ef56bcfc7e3baa3944fc2962e8217c6d720b0e

[ "MIT" ]

null

excript/aulas/aula54_atribuicao.py

victorers1/anotacoes_curso_python

c4ef56bcfc7e3baa3944fc2962e8217c6d720b0e

[ "MIT" ]

null

x = 1 print(x) x = x+1 print(x) x = 1 x += (x+1) #x = x + (x+1) print(x) x=2 for i in range(10): x*=2 print(x)

10

26

0.458333

31

120

1.774194

0.290323

0.254545

0.218182

0.436364

0.6

0.4

0

0.107143

0.3

120

12

27

10

0.547619

0.108333

0

0.545455

0

1

0

false

0

0.363636

0

1

null

1

0

null

0

4

fc45e1697ddc3391abd1bccc75516a5eca221c58

153

py

Python

infobip_channels/sms/models/response/reschedule_sms_messages.py

infobip-community/infobip-api-python-sdk

5ffc5ab877ee1748aa29391f991c8c5324387487

[ "MIT" ]

null

infobip_channels/sms/models/response/reschedule_sms_messages.py

infobip-community/infobip-api-python-sdk

5ffc5ab877ee1748aa29391f991c8c5324387487

[ "MIT" ]

null

infobip_channels/sms/models/response/reschedule_sms_messages.py

infobip-community/infobip-api-python-sdk

5ffc5ab877ee1748aa29391f991c8c5324387487

[ "MIT" ]

null

from infobip_channels.sms.models.response.core import ScheduledSMSMessages class RescheduleSMSMessagesResponse(ScheduledSMSMessages): send_at: str

25.5

74

0.856209

15

153

8.6

0.933333

0

0.091503

153

5

75

30.6

0.928058

0

1

0

true

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

fc75b6b572fc954b5e1d075bbc5d46df9249144c

109

py

Python

tests/conftest.py

den4uk/pipenv

cdde3f7bcee6bacba89538f73aba9401337be10c

[ "MIT" ]

18,636

2017-12-06T14:53:18.000Z

2022-03-31T13:12:34.000Z

tests/conftest.py

den4uk/pipenv

cdde3f7bcee6bacba89538f73aba9401337be10c

[ "MIT" ]

3,640

2017-12-06T16:58:35.000Z

2022-03-31T22:20:57.000Z

tests/conftest.py

den4uk/pipenv

cdde3f7bcee6bacba89538f73aba9401337be10c

[ "MIT" ]

1,987

2017-12-06T15:04:51.000Z

2022-03-26T10:05:15.000Z

import pytest @pytest.fixture() def project(): from pipenv.project import Project return Project()

13.625

38

0.715596

13

109

6

0.615385

0

0.192661

109

7

39

15.571429

0.886364

0

1

0.2

true

0

0.4

0

0.8

0

1

0

null

0

1

0

null

0

1

0

1

0

4

fc8f4a78af41245997ea4b6898fbf69aec284197

239

py

Python

dashboard/models.py

iDevam/FoodPantry

fe0b64813b895e53ce7675d4316e1dbc96cdf7c9

[ "MIT" ]

null

dashboard/models.py

iDevam/FoodPantry

fe0b64813b895e53ce7675d4316e1dbc96cdf7c9

[ "MIT" ]

null

dashboard/models.py

iDevam/FoodPantry

fe0b64813b895e53ce7675d4316e1dbc96cdf7c9

[ "MIT" ]

8

2020-04-21T01:45:14.000Z

2020-09-19T13:10:04.000Z

from django.db import models from django.contrib.auth.models import User # Create your models here. class profile(models.Model): user = models.OneToOneField(User,on_delete=models.CASCADE) def __str__(self): return self.user

29.875

63

0.757322

34

239

5.176471

0.647059

0.113636

0

0.154812

239

8

64

29.875

0.871287

0.100418

0

1

0.166667

false

0

0.333333

0.166667

1

0

null

0

1

0

null

0

1

0

4

5d8d1dd126c30da6368802184dffc28e1164501a

77

py

Python

app/models/__init__.py

bonny1992/informrr

e70f1b70c2391ce533e5dacee88eb821138a6057

[ "MIT" ]

8

2020-11-01T04:42:48.000Z

2022-03-18T13:31:20.000Z

app/models/__init__.py

bonny1992/informrr

e70f1b70c2391ce533e5dacee88eb821138a6057

[ "MIT" ]

1

2020-09-07T10:08:10.000Z

2020-09-07T12:13:09.000Z

app/models/__init__.py

bonny1992/sonarr-radarr-notification-aggregator

e70f1b70c2391ce533e5dacee88eb821138a6057

[ "MIT" ]

null

from models.notif import Show, Movie, Track, db_init from pathlib import Path

38.5

52

0.818182

13

77

4.769231

0.846154

0

0.12987

77

2

53

38.5

0.925373

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

5db6678bf23537d9df440239bca2c15129890f33

270

py

Python

main.py

josephquang97/py4e04

7539e7220cb83162b4414c34c507f88f6cf5a102

[ "Apache-2.0" ]

1

2022-01-03T09:28:17.000Z

main.py

josephquang97/py4e04

7539e7220cb83162b4414c34c507f88f6cf5a102

[ "Apache-2.0" ]

null

main.py

josephquang97/py4e04

7539e7220cb83162b4414c34c507f88f6cf5a102

[ "Apache-2.0" ]

null

def find_min() -> int: # Insert your code here # Thêm phần code tại đây để hoàn thành bài tập return -1 # Do not change the code lines below def main(): print('Input values:') print('\nOutput:',find_min()) if __name__ == "__main__": main()

16.875

50

0.618519

40

270

3.925

0.8

0.089172

0

0.005

0.259259

270

15

51

18

0.78

0.374074

0

0.182927

0

0.066667

0

1

0.285714

true

0

0.142857

0.428571

0.285714

0

null

0

null

0

1

0

1

0

1

0

4

5df63fd322537f7edb47ec611579aeb3688714ad

251

py

Python

parser/team07/Proyecto/clasesAbstractas/dropDatabase.py

itsmjoe/tytus

3b0341cc854d67979b766c5c8b06ed172ce0c913

[ "MIT" ]

1

2021-01-09T05:32:35.000Z

parser/team07/Proyecto/clasesAbstractas/dropDatabase.py

itsmjoe/tytus

3b0341cc854d67979b766c5c8b06ed172ce0c913

[ "MIT" ]

null

parser/team07/Proyecto/clasesAbstractas/dropDatabase.py

itsmjoe/tytus

3b0341cc854d67979b766c5c8b06ed172ce0c913

[ "MIT" ]

null

from .instruccionAbstracta import InstruccionAbstracta class dropDatabase(InstruccionAbstracta): def __init__(self, nombre): self.nombre = nombre def ejecutar(self, tabalSimbolos, listaErrores): pass

25.1

61

0.669323

20

251

8.2

0.65

0.121951

0

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b90e245b3bce3e76595cccd3092e73d77f4b1dea

192

py

Python

records_mover/url/http.py

cwegrzyn/records-mover

e3b71d6c09d99d0bcd6a956b9d09d20f8abe98d2

[ "Apache-2.0" ]

36

2020-03-17T11:56:51.000Z

2022-01-19T16:03:32.000Z

records_mover/url/http.py

cwegrzyn/records-mover

e3b71d6c09d99d0bcd6a956b9d09d20f8abe98d2

[ "Apache-2.0" ]

60

2020-03-02T23:13:29.000Z

2021-05-19T15:05:42.000Z

records_mover/url/http.py

cwegrzyn/records-mover

e3b71d6c09d99d0bcd6a956b9d09d20f8abe98d2

[ "Apache-2.0" ]

4

2020-08-11T13:17:37.000Z

2021-11-05T21:11:52.000Z

from .urllib import UrllibFileMixin from .base import BaseFileUrl class HttpFileUrl(UrllibFileMixin, BaseFileUrl): def __init__(self, url: str, **kwargs) -> None: self.url = url

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null

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1

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4

b90edcdf0f41f9065859ea30acefc3d93bf15808

169

py

Python

load_history.py

eduardodisanti/stock_market_agents

207e4d30ff3f826250636fca2e750b6e5b6b0b51

[ "MIT" ]

null

load_history.py

eduardodisanti/stock_market_agents

207e4d30ff3f826250636fca2e750b6e5b6b0b51

[ "MIT" ]

null

load_history.py

eduardodisanti/stock_market_agents

207e4d30ff3f826250636fca2e750b6e5b6b0b51

[ "MIT" ]

null

from gather_history_data import load_historical_data SYMBOLS = ['DAL','KO','FCAU'] for symbol in SYMBOLS: print("Loading", symbol) load_historical_data(symbol)

24.142857

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0.297521

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169

7

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24.142857

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null

1

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1

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null

0

4

f8f67e59f8444bfe127d0bcdf7a7f1503aa799be

9,597

py

Python

python_tools/test/test_remote_memory.py

ultimatezen/felix

5a7ad298ca4dcd5f1def05c60ae3c84519ec54c4

[ "MIT" ]

null

python_tools/test/test_remote_memory.py

ultimatezen/felix

5a7ad298ca4dcd5f1def05c60ae3c84519ec54c4

[ "MIT" ]

null

python_tools/test/test_remote_memory.py

ultimatezen/felix

5a7ad298ca4dcd5f1def05c60ae3c84519ec54c4

[ "MIT" ]

null

""" Unit tests for remote memories """ import unittest import mock from FelixMemoryServes import MemoryEngine as engine class TestRemoteMemory(unittest.TestCase): def test_init(self): """ On construction, a FelixRemoteMemory instance has the expected values """ mem = engine.FelixRemoteMemory() assert mem.connection == u"", mem.connection assert mem.data == {}, mem.data assert mem.token is None, mem.token def test_username(self): """ The user name starts with the default global, and can be customized. """ mem = engine.FelixRemoteMemory() assert mem.UserName() == engine.Globals.USER_NAME, (mem.UserName(), engine.Globals.USER_NAME) mem.SetUserName(u"test_username") assert mem.UserName() == u"test_username", mem.UserName() def test_record_by_id(self): """ We can retrieve a record by its record ID """ mem = engine.FelixRemoteMemory() mem.commands = {"rec_by_id": "foo"} with mock.patch("FelixMemoryServes.MemoryEngine.url_retrieve") as retrieve: with mock.patch("FelixMemoryServes.MemoryEngine.util") as util: retrieve.return_value = {"source": "record source", "trans": "record trans"} util.wrap.return_value = {"source": "record source", "trans": "record trans"} record = mem.RecordById(3) assert record == {"source": "record source", "trans": "record trans"}, record def test_record_by_id_no_command(self): """ When there is no command data, returns None """ mem = engine.FelixRemoteMemory() mem.commands = {} record = mem.RecordById(3) assert record is None, record def test_record_by_id_no_raw(self): """ When there is no command data, returns None """ mem = engine.FelixRemoteMemory() mem.commands = {"rec_by_id": "foo"} with mock.patch("FelixMemoryServes.MemoryEngine.url_retrieve") as retrieve: retrieve.return_value = {} record = mem.RecordById(3) assert record is None, record def test_update_record(self): """ We can update a record """ mem = engine.FelixRemoteMemory() mem.commands = {"update": "foo"} with mock.patch("FelixMemoryServes.MemoryEngine.url_retrieve") as retrieve: with mock.patch("FelixMemoryServes.MemoryEngine.Dispatch") as dispatch: with mock.patch("FelixMemoryServes.MemoryEngine.util") as util: data = {"source": "record source", "trans": "record trans", "id": 3} retrieve.return_value = data dispatch.return_value = mock.Mock() util.wrap.return_value = data record = mem.UpdateRecord(mock.Mock()) assert record == data, record def test_update_record_no_command(self): """ returns False if we don't have an update command """ mem = engine.FelixRemoteMemory() mem.commands = {} with mock.patch("FelixMemoryServes.MemoryEngine.Dispatch") as dispatch: dispatch.return_value = mock.Mock() assert mem.UpdateRecord(mock.Mock()) is False, mem.UpdateRecord(mock.Mock()) def test_update_record_no_updated_data(self): """ return False if there is no updated data """ mem = engine.FelixRemoteMemory() mem.commands = {"update": "foo"} with mock.patch("FelixMemoryServes.MemoryEngine.url_retrieve") as retrieve: with mock.patch("FelixMemoryServes.MemoryEngine.Dispatch") as dispatch: retrieve.return_value = None dispatch.return_value = mock.Mock() assert mem.UpdateRecord(mock.Mock()) is False, mem.UpdateRecord(mock.Mock()) def test_add_record(self): """ We can add a record """ mem = engine.FelixRemoteMemory() mem.commands = {"add": "foo"} with mock.patch("FelixMemoryServes.MemoryEngine.url_retrieve") as retrieve: with mock.patch("FelixMemoryServes.MemoryEngine.Dispatch") as dispatch: with mock.patch("FelixMemoryServes.MemoryEngine.util") as util: data = {"source": "record source", "trans": "record trans", "id": 3} retrieve.return_value = data dispatch.return_value = mock.Mock() util.wrap.return_value = data mem.AddRecord(mock.Mock()) is True, mem.AddRecord(mock.Mock()) def test_add_record_no_command(self): """ returns False if we don't have an add command """ mem = engine.FelixRemoteMemory() mem.commands = {} with mock.patch("FelixMemoryServes.MemoryEngine.Dispatch") as dispatch: dispatch.return_value = mock.Mock() assert mem.AddRecord(mock.Mock()) is False, mem.AddRecord(mock.Mock()) def test_add_record_no_updated_data(self): """ return False if there is no added data """ mem = engine.FelixRemoteMemory() mem.commands = {"add": "foo"} with mock.patch("FelixMemoryServes.MemoryEngine.url_retrieve") as retrieve: with mock.patch("FelixMemoryServes.MemoryEngine.Dispatch") as dispatch: retrieve.return_value = None dispatch.return_value = mock.Mock() assert mem.AddRecord(mock.Mock()) is False, mem.AddRecord(mock.Mock()) def test_delete_record(self): """ We can delete a record """ mem = engine.FelixRemoteMemory() mem.commands = {"delete": "foo"} with mock.patch("FelixMemoryServes.MemoryEngine.url_retrieve") as retrieve: with mock.patch("FelixMemoryServes.MemoryEngine.Dispatch") as dispatch: with mock.patch("FelixMemoryServes.MemoryEngine.util") as util: data = {"source": "record source", "trans": "record trans", "id": 3} retrieve.return_value = data dispatch.return_value = mock.Mock() util.wrap.return_value = data mem.DeleteRecord(mock.Mock()) is True, mem.DeleteRecord(mock.Mock()) def test_delete_record_no_command(self): """ returns False if we don't have a delete command """ mem = engine.FelixRemoteMemory() mem.commands = {} with mock.patch("FelixMemoryServes.MemoryEngine.Dispatch") as dispatch: dispatch.return_value = mock.Mock() assert mem.DeleteRecord(mock.Mock()) is False, mem.DeleteRecord(mock.Mock()) def test_connect(self): """ We can delete a record """ mem = engine.FelixRemoteMemory() mem.commands = {"delete": "foo"} with mock.patch("FelixMemoryServes.MemoryEngine.url_retrieve") as retrieve: data = {"add": "add command"} retrieve.return_value = data mem.Connect("http://example.com/") is True, mem.Connect("http://example.com/") def test_connect_error(self): """ We can delete a record """ mem = engine.FelixRemoteMemory() mem.commands = {"delete": "foo"} with mock.patch("FelixMemoryServes.MemoryEngine.url_retrieve") as retrieve: retrieve.side_effect = ValueError('boom') mem.Connect("http://example.com/") is False, mem.Connect("http://example.com/") def test_get_login_url(self): """ We can get the login url """ mem = engine.FelixRemoteMemory() mem.commands = {"login": "from command"} login = mem.get_login_url() assert login == "from command", login def test_get_login_url_commands_missing(self): """ We can get the login url when we don't have commands """ mem = engine.FelixRemoteMemory() mem.commands = {} mem.base = "base" login = mem.get_login_url() assert login == "base/api/login/", login def test_login(self): """ We can delete a record """ mem = engine.FelixRemoteMemory() mem.commands = {"login": "foo"} with mock.patch("FelixMemoryServes.MemoryEngine.url_retrieve") as retrieve: retrieve.return_value = "token" mem.Login(u"username", u"password") is True, mem.Login(u"username", u"password") assert mem.token == "token", mem.token def test_login_error(self): """ We can delete a record """ mem = engine.FelixRemoteMemory() mem.commands = {"login": "foo"} with mock.patch("FelixMemoryServes.MemoryEngine.url_retrieve") as retrieve: retrieve.side_effect = Exception('boom') mem.Login(u"username", u"password") is False, mem.Login(u"username", u"password") def test_is_logged_in(self): """ We can delete a record """ mem = engine.FelixRemoteMemory() assert not mem.IsLoggedIn() mem.token = "token" assert mem.IsLoggedIn()

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null

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5d010a3bbbc6c0e43ac144c4c615e84879addfa4

104

py

Python

systori/apps/document/app.py

systori/systori

e309c63e735079ff6032fdaf1db354ec872b28b1

[ "BSD-3-Clause" ]

12

2018-01-30T00:44:06.000Z

2020-07-13T05:20:48.000Z

systori/apps/document/app.py

systori/systori

e309c63e735079ff6032fdaf1db354ec872b28b1

[ "BSD-3-Clause" ]

36

2018-03-06T17:49:50.000Z

2020-06-23T19:26:00.000Z

systori/apps/document/app.py

systori/systori

e309c63e735079ff6032fdaf1db354ec872b28b1

[ "BSD-3-Clause" ]

3

2018-08-03T07:03:09.000Z

2020-07-09T20:21:10.000Z

from django.apps import AppConfig class DocumentConfig(AppConfig): name = "systori.apps.document"

17.333333

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6.666667

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1

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5d18d0d76fbe1bb02e7e9ae1243b5c0482fab4ac

120

py

Python

pySPACE/missions/nodes/regression/__init__.py

pyspace/pyspace

763e62c0e7fa7cfcb19ccee1a0333c4f7e68ae62

[ "BSD-3-Clause" ]

32

2015-02-20T09:03:09.000Z

2022-02-25T22:32:52.000Z

pySPACE/missions/nodes/regression/__init__.py

pyspace/pyspace

763e62c0e7fa7cfcb19ccee1a0333c4f7e68ae62

[ "BSD-3-Clause" ]

5

2015-05-18T15:08:40.000Z

2020-03-05T19:18:01.000Z

pySPACE/missions/nodes/regression/__init__.py

pyspace/pyspace

763e62c0e7fa7cfcb19ccee1a0333c4f7e68ae62

[ "BSD-3-Clause" ]

18

2015-09-28T07:16:38.000Z

2021-01-20T13:52:19.000Z

""" Regression of the incoming signal (mostly :class:`~pySPACE.resources.data_types.feature_vector.FeatureVector`) """

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null

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4

5d35a24c95ff1143ee4fa8f834e8302df11dca7e

167

py

Python

MyCryptoKeys/__main__.py

alpeza/MyCryptoKeys

2f08271c70a45089e528d0af41729effcaef8ce7

[ "Apache-2.0" ]

null

MyCryptoKeys/__main__.py

alpeza/MyCryptoKeys

2f08271c70a45089e528d0af41729effcaef8ce7

[ "Apache-2.0" ]

null

MyCryptoKeys/__main__.py

alpeza/MyCryptoKeys

2f08271c70a45089e528d0af41729effcaef8ce7

[ "Apache-2.0" ]

null

"""This module serves as the entry point of MyCryptoKeys.""" def main(): """The actual entry point.""" print('holi') if __name__ == '__main__': main()

15.181818

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0.610778

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0

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0

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0

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true

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1

0

null

1

0

null

0

1

0

4

5d4690c2bb0164bfc7afb17f05a8acf43cc2291d

145

py

Python

wwk/py/error.py

nsanthony/super-fortnight

fd1a49e97864a08fc5da5cf233afd103b35a2754

[ "Apache-2.0" ]

null

wwk/py/error.py

nsanthony/super-fortnight

fd1a49e97864a08fc5da5cf233afd103b35a2754

[ "Apache-2.0" ]

null

wwk/py/error.py

nsanthony/super-fortnight

fd1a49e97864a08fc5da5cf233afd103b35a2754

[ "Apache-2.0" ]

null

#! /Users/nsanthony/miniconda3/bin/python def error(): """Spits out that it doesnt work, needs definition""" print('ERROR: ') return

24.166667

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145

5.333333

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0.186207

145

6

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24.166667

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0

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null

0

1

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null

0

1

0

4

5d68024ff8398729b2463d3cf49c65f0f50bb51e

2,278

py

Python

Examples/CircuitPython/Audio/DoraemonMelody.py

CytronTechnologies/MAKER-NANO-RP2040

96ebf29b53833bc09251e3680a2ddbf7e83934ff

[ "MIT" ]

null

Examples/CircuitPython/Audio/DoraemonMelody.py

CytronTechnologies/MAKER-NANO-RP2040

96ebf29b53833bc09251e3680a2ddbf7e83934ff

[ "MIT" ]

null

Examples/CircuitPython/Audio/DoraemonMelody.py

CytronTechnologies/MAKER-NANO-RP2040

96ebf29b53833bc09251e3680a2ddbf7e83934ff

[ "MIT" ]

null

# This example code uses: Maker Nano RP2040 import board import time from pwmio import PWMOut from pitches import tones import digitalio time.sleep(1) # Pixel colours pixel_off = bytearray([0, 0, 0]) pixel_red = bytearray([0, 10, 0]) pixel_green = bytearray([10, 0, 0]) pixel_blue = bytearray([0, 0, 10]) # Configure pin pin = digitalio.DigitalInOut(board.GP28) pin.direction = digitalio.Direction.OUTPUT time.sleep(1) tempo = 0.65 melody = ( 'a2','','a2','','a2','b2','','cs3', 'a3','','d4','d4','','fs4','b4','','fs4','a4','', 'a4','','b4','a4','','fs4','g4','','fs4','e4','', 'b3','','e4','e4','','g4','cs5','','cs5','b4','', 'a4','g4','','g4','','fs4','b3','','cs4','','d4','e4','', 'a2','','a2','','a2','b2','','cs3', 'a3','','d4','d4','','fs4','b4','','fs4','a4','', 'a4','','b4','a4','','fs4','g4','','fs4','e4','', 'b3','','e4','e4','','g4','cs5','','b4','','a4', 'g4','','g4','fs4','','e4','cs4','','e4','','d4','', 'd3','','e3','','fs3','', 'b4','','b4','','a4','g4','a4','b4','a4','', 'e4','','fs4','gs4','','e4','a4','', 'b4','','a4','','e4','','fs4','gs4','','e4','a4','', 'a2','','a3','','a2','', 'b4','','a4','','g4','', 'e4','','cs5','','b4','a4','','b4','a4','','g4','', 'a4','','b4','fs4','','','e4','d4','', 'd3','','e3','','fs3','', 'b4','','a4','','g4','', 'e4','','cs5','','b4','a4','','b4','a4','','g4','', 'a4','','b4','fs4','','','e4','d4','', ) rhythm = [ 4,2,4,4,4,4,4,4, 4,4,4,4,4,4,4,4,4,4,2, 4,4,4,4,4,4,4,4,4,4,2, 4,4,4,4,4,4,4,4,4,4,4, 4,4,2,4,4,4,4,4,4,2,4,2,4, 4,2,4,4,4,4,4,4, 4,4,4,4,4,4,4,4,4,4,2, 4,4,4,4,4,4,4,4,4,4,2, 4,4,4,4,4,4,4,2,4,4,4, 4,4,4,4,4,4,4,2,4,2,2,4, 4,2,4,2,4,2, 4,2,4,4,4,4,4,4,4,2, 4,4,4,4,4,4,2,1, 4,2,4,2,4,4,4,4,4,4,2,4, 4,2,4,2,4,2, 4,2,4,2,2,1, 4,2,4,4,4,4,4,4,4,4,2,2, 4,4,4,2,2,4,4,2,4, 4,2,4,2,4,2, 4,2,4,2,2,1, 4,2,4,4,4,4,4,4,4,4,2,2, 4,4,4,2,2,4,4,2,4, ] for tone, length in zip(melody, rhythm): beeper = PWMOut(board.GP22, variable_frequency=True) if tones[tone] != 0: beeper.duty_cycle = 2 ** 15 beeper.frequency = tones[tone] time.sleep(tempo/length) beeper.deinit() time.sleep(1)

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5d6a86115e563a94b6a4e84e83c70fbd4d84ab82

114

py

Python

src/browse_dupfiles/__main__.py

FransHeuvelmans/browse_dupfiles

64cf834274bcd3229565e83406f66cd524e8497d

[ "Unlicense" ]

1

2021-12-05T17:20:09.000Z

src/browse_dupfiles/__main__.py

FransHeuvelmans/browse_dupfiles

64cf834274bcd3229565e83406f66cd524e8497d

[ "Unlicense" ]

null

src/browse_dupfiles/__main__.py

FransHeuvelmans/browse_dupfiles

64cf834274bcd3229565e83406f66cd524e8497d

[ "Unlicense" ]

null

"""Main entry point of the program""" from browse_dupfiles.cli import main if __name__ == "__main__": main()

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0.8125

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114

5

38

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null

0

1

0

1

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4

53702e6b79f6d681a6e83f04f6505f7adbdbfc8e

33

py

Python

tests/__init__.py

NeolithEra/click-pathlib

699e65cec3d311a06c20f96102d61457b75b37be

[ "MIT" ]

16

2019-04-26T08:33:22.000Z

2021-06-10T14:12:20.000Z

tests/__init__.py

NeolithEra/click-pathlib

699e65cec3d311a06c20f96102d61457b75b37be

[ "MIT" ]

279

2019-04-25T18:23:07.000Z

2022-03-31T08:09:28.000Z

tests/__init__.py

NeolithEra/click-pathlib

699e65cec3d311a06c20f96102d61457b75b37be

[ "MIT" ]

5

2019-06-23T11:35:43.000Z

2021-12-17T15:25:59.000Z

""" Tests for click-pathlib. """

8.25

24

0.606061

4

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5

1

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0.151515

33

3

25

11

0.714286

0.727273

0

null

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0

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1

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null

0

1

0

null

0

1

0

4

5390dd4804fe2f2d1dbc78349910c5c17cb66dd4

94

py

Python

example/django_example/apps/demo/apps.py

hotwire-django/turbo-lazy

2400f6f468545a47dc785bbfdb170513ce7d016f

[ "MIT" ]

13

2020-12-27T17:47:56.000Z

2021-12-09T10:13:49.000Z

example/django_example/apps/demo/apps.py

hotwire-django/turbo-lazy

2400f6f468545a47dc785bbfdb170513ce7d016f

[ "MIT" ]

5

2020-12-27T17:58:41.000Z

2021-01-01T22:06:23.000Z

example/django_example/apps/demo/apps.py

hotwire-django/turbo-lazy

2400f6f468545a47dc785bbfdb170513ce7d016f

[ "MIT" ]

null

from django.apps import AppConfig class TurboDemoConfig(AppConfig): name = 'turbo_demo'

15.666667

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53aad03c522d20663cb8b67f04713dcc18ea5e66

170

py

Python

python/init.py

santosh/.nuke

1c87f82de0fcfcebfb3396ad65deffc754dae77a

[ "BSD-3-Clause" ]

1

2020-02-06T22:31:39.000Z

python/init.py

santosh/.nuke

1c87f82de0fcfcebfb3396ad65deffc754dae77a

[ "BSD-3-Clause" ]

9

2017-08-30T11:20:13.000Z

2020-02-21T19:41:03.000Z

python/init.py

santosh/.nuke

1c87f82de0fcfcebfb3396ad65deffc754dae77a

[ "BSD-3-Clause" ]

2

2019-08-22T07:41:04.000Z

2021-01-19T14:56:04.000Z

nuke.pluginAddPath("renderFinished") nuke.pluginAddPath("revealInFinder") nuke.pluginAddPath("edgeNode") nuke.pluginAddPath("autoBackup") nuke.pluginAddPath("exrSplit")

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null

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53aafdc282d171d19086a88b441b1279d98a1c6d

197

py

Python

app/lib/cli/env.py

grepleria/SnitchDNS

24f98b01fd5fca9aa2c660d6ee15742f2e44915c

[ "MIT" ]

152

2020-12-07T13:26:53.000Z

2022-03-23T02:00:04.000Z

app/lib/cli/env.py

grepleria/SnitchDNS

24f98b01fd5fca9aa2c660d6ee15742f2e44915c

[ "MIT" ]

16

2020-12-07T17:04:36.000Z

2022-03-10T11:12:52.000Z

app/lib/cli/env.py

grepleria/SnitchDNS

24f98b01fd5fca9aa2c660d6ee15742f2e44915c

[ "MIT" ]

36

2020-12-09T13:04:40.000Z

2022-03-12T18:14:36.000Z

import click from flask.cli import with_appcontext @click.command('env', help='SnitchDNS helper to identify the running environment') @with_appcontext def main(): print('OK') return True

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53c655e8118922b05f7af03aa6d5177e040b69e7

76

py

Python

characters/MrWhite.py

dretcm/Git_Taller_Grupo11

b09119dd057d80fd848f4f14fc38d3fe475d061f

[ "Apache-2.0" ]

null

characters/MrWhite.py

dretcm/Git_Taller_Grupo11

b09119dd057d80fd848f4f14fc38d3fe475d061f

[ "Apache-2.0" ]

null

characters/MrWhite.py

dretcm/Git_Taller_Grupo11

b09119dd057d80fd848f4f14fc38d3fe475d061f

[ "Apache-2.0" ]

null

class MrWhite: def SayName(self): print("Mr White: yessi XD !")

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54de439fcc89690a959ef0edbdc591a36ea8e907

279

py

Python

python/testData/testRunner/env/unit/withDocString/test_test.py

jnthn/intellij-community

8fa7c8a3ace62400c838e0d5926a7be106aa8557

[ "Apache-2.0" ]

2

2019-04-28T07:48:50.000Z

2020-12-11T14:18:08.000Z

python/testData/testRunner/env/unit/withDocString/test_test.py

Cyril-lamirand/intellij-community

60ab6c61b82fc761dd68363eca7d9d69663cfa39

[ "Apache-2.0" ]

173

2018-07-05T13:59:39.000Z

2018-08-09T01:12:03.000Z

python/testData/testRunner/env/unit/withDocString/test_test.py

Cyril-lamirand/intellij-community

60ab6c61b82fc761dd68363eca7d9d69663cfa39

[ "Apache-2.0" ]

2

2020-03-15T08:57:37.000Z

2020-04-07T04:48:14.000Z

from unittest import TestCase class SomeTestCase(TestCase): def testSomething(self): """ Only with docstring test is parsed with extra space""" self.assertEqual(1 + 1, 2) def testSomethingBad(self): """Fail""" self.assertEqual(1 + 1, 3)

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null

0

1

0

1

0

4

0709dc0e57cb7241f8a8c927b62164d8b63120e3

10,358

py

Python

dop/atm/models.py

zhang5171291/dop

6c7e8645e290759c988932617606887b71ea2dd6

[ "Apache-2.0" ]

null

dop/atm/models.py

zhang5171291/dop

6c7e8645e290759c988932617606887b71ea2dd6

[ "Apache-2.0" ]

2

2019-10-17T05:18:13.000Z

2019-10-17T05:19:43.000Z

dop/atm/models.py

zhang5171291/dop

6c7e8645e290759c988932617606887b71ea2dd6

[ "Apache-2.0" ]

null

# -*- coding:utf-8 -*- from django.db import models from django.contrib.auth.models import User # Method type 请求类型 mothod_types = ( (1, "GET"), (2, "POST"), (3, "PUT"), (4, "DELETE"), ) # content types content_types = ( (1, "application/json"), (2, "text/html"), (3, "x-www-form-urlencode"), ) # position types position_types = ( (1, "Request"), (2, "Response"), ) # role types role_types = ( (1, "普通用户"), (2, "管理员"), (3, "超级管理员"), ) # 团队 class Team(models.Model): team_name = models.CharField(verbose_name=u"团队名称", max_length=200, unique=True, null=True, blank=True) description = models.TextField(verbose_name=u"团队描述", null=True, blank=True) remark = models.TextField(verbose_name=u"备注", null=True, blank=True) pic_url = models.CharField(verbose_name=u"图片路径", max_length=500, null=True, blank=True) is_active = models.BooleanField(verbose_name=u"是否启用", default=True) is_deleted = models.BooleanField(verbose_name=u"是否已删除", default=False) author = models.ForeignKey(User, verbose_name=u"创建人", related_name=u"team_author", null=True) modifier = models.ForeignKey(User, verbose_name=u"修改人", related_name=u"team_modifier", null=True, blank=True) ctime = models.DateTimeField(verbose_name=u"创建时间", auto_now_add=True) utime = models.DateTimeField(verbose_name=u"更新时间", auto_now=True) def __unicode__(self): return u'id={0} {1}'.format(self.id, self.team_name) class Meta: verbose_name = u"团队" verbose_name_plural = verbose_name db_table = "team" # 项目 class Project(models.Model): team = models.ForeignKey(Team, verbose_name=u"团队", related_name=u"project", null=True) project_name = models.CharField(verbose_name=u"项目名称", unique=True, max_length=200, null=True, blank=True) description = models.TextField(verbose_name=u"项目描述", null=True, blank=True) pic_url = models.CharField(verbose_name=u"图片路径", max_length=500, null=True, blank=True) host = models.CharField(verbose_name=u"Host", max_length=200, null=True, blank=True) remark = models.TextField(verbose_name=u"备注", null=True, blank=True) is_active = models.BooleanField(verbose_name=u"是否启用", default=True) is_deleted = models.BooleanField(verbose_name=u"是否已删除", default=False) author = models.ForeignKey(User, verbose_name=u"创建人", related_name=u"project_author", null=True) modifier = models.ForeignKey(User, verbose_name=u"修改人", related_name=u"project_modifier", null=True, blank=True) ctime = models.DateTimeField(verbose_name=u"创建时间", auto_now_add=True) utime = models.DateTimeField(verbose_name=u"更新时间", auto_now=True) def __unicode__(self): return u'id={0} {1}'.format(self.id, self.project_name) class Meta: verbose_name = u"项目" verbose_name_plural = verbose_name db_table = "project" # 项目人员 class ProjectMember(models.Model): project = models.ForeignKey(Project, verbose_name=u"项目", related_name=u"projectmember", null=True, blank=True) user = models.ForeignKey(User, verbose_name=u"成员", related_name=u"projectmember", null=True, blank=True) is_author = models.BooleanField(verbose_name=u"是否为项目管理员", default=False) role = models.SmallIntegerField(verbose_name=u"用户角色", choices=role_types, default=1) is_active = models.BooleanField(verbose_name=u"是否启用", default=True) is_deleted = models.BooleanField(verbose_name=u"是否已删除", default=False) author = models.ForeignKey(User, verbose_name=u"创建人", related_name=u"projectmember_author", null=True, blank=True) modifier = models.ForeignKey(User, verbose_name=u"修改人", related_name=u"projectmember_modifier", null=True, blank=True) ctime = models.DateTimeField(verbose_name=u"创建时间", auto_now_add=True) utime = models.DateTimeField(verbose_name=u"更新时间", auto_now=True) class Meta: verbose_name = u"项目人员" verbose_name_plural = verbose_name db_table = "projectmember" # API应用接口 class Interface(models.Model): project = models.ForeignKey(Project, verbose_name=u"项目", related_name=u"interface", null=True, blank=True) interface_name = models.CharField(verbose_name=u"API接口名称", max_length=200, null=True, blank=True) description = models.TextField(verbose_name=u"API接口描述", null=True, blank=True) url = models.CharField(verbose_name=u"请求地址", max_length=200, null=True, blank=True) tags = models.CharField(verbose_name=u"标签", max_length=500, null=True, blank=True) method = models.SmallIntegerField(verbose_name=u"请求类型", choices=mothod_types, default=1) mockdata = models.TextField(verbose_name=u"模拟数据", null=True, blank=True) content_type = models.SmallIntegerField(verbose_name=u"Content type", choices=content_types, default=1) remark = models.TextField(verbose_name=u"备注", null=True, blank=True) is_active = models.BooleanField(verbose_name=u"是否启用", default=True) is_deleted = models.BooleanField(verbose_name=u"是否已删除", default=False) author = models.ForeignKey(User, verbose_name=u"创建人", related_name=u"interface_author", null=True) modifier = models.ForeignKey(User, verbose_name=u"修改人", related_name=u"interface_modifier", null=True, blank=True) ctime = models.DateTimeField(verbose_name=u"创建时间", auto_now_add=True) utime = models.DateTimeField(verbose_name=u"更新时间", auto_now=True) def __unicode__(self): return u'id={0} {1}'.format(self.id, self.interface_name) class Meta: verbose_name = u"API应用接口" verbose_name_plural = verbose_name db_table = "interface" # 元数据 class MetaData(models.Model): interface = models.ForeignKey(Interface, verbose_name=u"API应用接口", related_name=u"metadata", null=True, blank=True) position = models.SmallIntegerField(verbose_name=u"Postion", choices=position_types, default=1) metadata_name = models.CharField(verbose_name=u"元数据名称", max_length=200, null=True, blank=True) data = models.TextField(verbose_name=u"数据值", null=True, blank=True) remark = models.TextField(verbose_name=u"备注", null=True, blank=True) is_active = models.BooleanField(verbose_name=u"是否启用", default=True) is_deleted = models.BooleanField(verbose_name=u"是否已删除", default=False) author = models.ForeignKey(User, verbose_name=u"创建人", related_name=u"metadata_author", null=True) modifier = models.ForeignKey(User, verbose_name=u"修改人", related_name=u"metadata_modifier", null=True, blank=True) ctime = models.DateTimeField(verbose_name=u"创建时间", auto_now_add=True) utime = models.DateTimeField(verbose_name=u"更新时间", auto_now=True) class Meta: verbose_name = u"元数据" verbose_name_plural = verbose_name db_table = "metadata" # 错误码 class ErrorCode(models.Model): interface = models.ForeignKey(Interface, verbose_name=u"API应用接口", related_name=u"errorcode", null=True, blank=True) error_name = models.CharField(verbose_name=u"错误码名称", max_length=50, null=True, blank=True) display_message = models.CharField(verbose_name=u"提示信息", max_length=200, null=True, blank=True) description = models.TextField(verbose_name=u"错误码描述", null=True, blank=True) remark = models.TextField(verbose_name=u"备注", null=True, blank=True) is_active = models.BooleanField(verbose_name=u"是否启用", default=True) is_deleted = models.BooleanField(verbose_name=u"是否已删除", default=False) author = models.ForeignKey(User, verbose_name=u"创建人", related_name=u"errorcode_author", null=True) modifier = models.ForeignKey(User, verbose_name=u"修改人", related_name=u"errorcode_modifier", null=True, blank=True) ctime = models.DateTimeField(verbose_name=u"创建时间", auto_now_add=True) utime = models.DateTimeField(verbose_name=u"更新时间", auto_now=True) class Meta: verbose_name = u"错误码" verbose_name_plural = verbose_name db_table = "errorcode" # 锁接口信息 class LockInfo(models.Model): interface = models.ForeignKey(Interface, verbose_name=u"API应用接口", related_name=u"lockinfo", null=True, blank=True) lock_user = models.ForeignKey(User, verbose_name=u"锁表人", related_name=u"lockinfo", null=True, blank=True) is_locked = models.BooleanField(verbose_name=u"是否被锁", default=False) is_deleted = models.BooleanField(verbose_name=u"是否已删除", default=False) ctime = models.DateTimeField(verbose_name=u"创建时间", auto_now_add=True) utime = models.DateTimeField(verbose_name=u"更新时间", auto_now=True) class Meta: verbose_name = u"锁接口信息" verbose_name_plural = verbose_name db_table = "lockinfo" # 修改记录 class EditHistory(models.Model): interface = models.ForeignKey(Interface, verbose_name=u"API应用接口", related_name=u"edithistory", null=True, blank=True) modifier = models.ForeignKey(User, verbose_name=u"修改人", related_name=u"edithistory", null=True, blank=True) content = models.TextField(verbose_name=u"修改内容", null=True, blank=True) is_deleted = models.BooleanField(verbose_name=u"是否已删除", default=False) ctime = models.DateTimeField(verbose_name=u"创建时间", auto_now_add=True) utime = models.DateTimeField(verbose_name=u"更新时间", auto_now=True) class Meta: verbose_name = u"修改记录" verbose_name_plural = verbose_name db_table = "edithistory" # 代码模板 class CodeModel(models.Model): code_name = models.CharField(verbose_name=u"模板名称", max_length=200, null=True, blank=True) description = models.TextField(verbose_name=u"模板描述", null=True, blank=True) content = models.TextField(verbose_name=u"模板内容", null=True, blank=True) parent = models.ForeignKey('self', verbose_name=u"父模板", related_name=u"codemodel_parent", null=True, blank=True) author = models.ForeignKey(User, verbose_name=u"创建人", related_name=u"codemodel_author", null=True, blank=True) modifier = models.ForeignKey(User, verbose_name=u"修改人", related_name=u"codemodel_modifier", null=True, blank=True) is_active = models.BooleanField(verbose_name=u"是否启用", default=True) is_deleted = models.BooleanField(verbose_name=u"是否已删除", default=False) ctime = models.DateTimeField(verbose_name=u"创建时间", auto_now_add=True) utime = models.DateTimeField(verbose_name=u"更新时间", auto_now=True) def __unicode__(self): return u'id={0} {1}'.format(self.id, self.code_name) class Meta: verbose_name = u"代码模板" verbose_name_plural = verbose_name db_table = "codemodel"

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null

0

1

0

1

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null

0

4

0726dddef0444da311b7159f838a29eb86860cb1

3,977

py

Python

tests/phase0/block_processing/test_process_deposit.py

CarlBeek/eth2.0-specs

86ea525dbd5c2785221d5176eeb0005962753068

[ "CC0-1.0" ]

2

2021-02-26T11:49:09.000Z

2021-02-26T12:16:47.000Z

tests/phase0/block_processing/test_process_deposit.py

JSON/eth2.0-specs

2baa242ac004b0475604c4c4ef4315e14f56c5c7

[ "CC0-1.0" ]

null

tests/phase0/block_processing/test_process_deposit.py

JSON/eth2.0-specs

2baa242ac004b0475604c4c4ef4315e14f56c5c7

[ "CC0-1.0" ]

null

from copy import deepcopy import pytest import build.phase0.spec as spec from build.phase0.spec import ( get_balance, ZERO_HASH, process_deposit, ) from tests.phase0.helpers import ( build_deposit, privkeys, pubkeys, ) # mark entire file as 'voluntary_exits' pytestmark = pytest.mark.voluntary_exits def test_success(state): pre_state = deepcopy(state) # fill previous deposits with zero-hash deposit_data_leaves = [ZERO_HASH] * len(pre_state.validator_registry) index = len(deposit_data_leaves) pubkey = pubkeys[index] privkey = privkeys[index] deposit, root, deposit_data_leaves = build_deposit( pre_state, deposit_data_leaves, pubkey, privkey, spec.MAX_DEPOSIT_AMOUNT, ) pre_state.latest_eth1_data.deposit_root = root pre_state.latest_eth1_data.deposit_count = len(deposit_data_leaves) post_state = deepcopy(pre_state) process_deposit(post_state, deposit) assert len(post_state.validator_registry) == len(state.validator_registry) + 1 assert len(post_state.balances) == len(state.balances) + 1 assert post_state.validator_registry[index].pubkey == pubkeys[index] assert get_balance(post_state, index) == spec.MAX_DEPOSIT_AMOUNT assert post_state.deposit_index == post_state.latest_eth1_data.deposit_count return pre_state, deposit, post_state def test_success_top_up(state): pre_state = deepcopy(state) deposit_data_leaves = [ZERO_HASH] * len(pre_state.validator_registry) validator_index = 0 amount = spec.MAX_DEPOSIT_AMOUNT // 4 pubkey = pubkeys[validator_index] privkey = privkeys[validator_index] deposit, root, deposit_data_leaves = build_deposit( pre_state, deposit_data_leaves, pubkey, privkey, amount, ) pre_state.latest_eth1_data.deposit_root = root pre_state.latest_eth1_data.deposit_count = len(deposit_data_leaves) pre_balance = get_balance(pre_state, validator_index) post_state = deepcopy(pre_state) process_deposit(post_state, deposit) assert len(post_state.validator_registry) == len(state.validator_registry) assert len(post_state.balances) == len(state.balances) assert post_state.deposit_index == post_state.latest_eth1_data.deposit_count assert get_balance(post_state, validator_index) == pre_balance + amount return pre_state, deposit, post_state def test_wrong_index(state): pre_state = deepcopy(state) deposit_data_leaves = [ZERO_HASH] * len(pre_state.validator_registry) index = len(deposit_data_leaves) pubkey = pubkeys[index] privkey = privkeys[index] deposit, root, deposit_data_leaves = build_deposit( pre_state, deposit_data_leaves, pubkey, privkey, spec.MAX_DEPOSIT_AMOUNT, ) # mess up deposit_index deposit.index = pre_state.deposit_index + 1 pre_state.latest_eth1_data.deposit_root = root pre_state.latest_eth1_data.deposit_count = len(deposit_data_leaves) post_state = deepcopy(pre_state) with pytest.raises(AssertionError): process_deposit(post_state, deposit) return pre_state, deposit, None def test_bad_merkle_proof(state): pre_state = deepcopy(state) deposit_data_leaves = [ZERO_HASH] * len(pre_state.validator_registry) index = len(deposit_data_leaves) pubkey = pubkeys[index] privkey = privkeys[index] deposit, root, deposit_data_leaves = build_deposit( pre_state, deposit_data_leaves, pubkey, privkey, spec.MAX_DEPOSIT_AMOUNT, ) # mess up merkle branch deposit.proof[-1] = spec.ZERO_HASH pre_state.latest_eth1_data.deposit_root = root pre_state.latest_eth1_data.deposit_count = len(deposit_data_leaves) post_state = deepcopy(pre_state) with pytest.raises(AssertionError): process_deposit(post_state, deposit) return pre_state, deposit, None

28.007042

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1

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null

0

4

0729edd20b3953adbd492072dbab1f3c3614a97a

785

py

Python

src/reward_machines/reward_functions.py

logic-and-learning/AdvisoRL

3bbd741e681e6ea72562fec142d54e9d781d097d

[ "MIT" ]

4

2021-02-04T17:33:07.000Z

2022-01-24T10:29:39.000Z

src/reward_machines/reward_functions.py

logic-and-learning/AdvisoRL

3bbd741e681e6ea72562fec142d54e9d781d097d

[ "MIT" ]

null

src/reward_machines/reward_functions.py

logic-and-learning/AdvisoRL

3bbd741e681e6ea72562fec142d54e9d781d097d

[ "MIT" ]

null

import math class RewardFunction: def __init__(self): pass # To implement... def get_reward(self, s1, a, s2): raise NotImplementedError("To be implemented") def get_type(self): raise NotImplementedError("To be implemented") def compare_to(self, other): raise NotImplementedError("To be implemented") class ConstantRewardFunction(RewardFunction): """ Defines a constant reward for a 'simple reward machine' """ def __init__(self, c): super().__init__() self.c = c def get_type(self): return "constant" def compare_to(self, other): return self.get_type() == other.get_type() and self.c == other.c def get_reward(self,s1=None, a=None, s2=None): return self.c

23.088235

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0.633121

98

785

4.867347

0.336735

0.050314

0.163522

0.176101

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0.257325

785

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73

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0.811321

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null

0

1

0

null

0

1

0

1

0

4

074623b73fca51f0d53cc6075ea256e07a09057d

512

py

Python

Session 2/List/UpdateList.py

Tassneem04Hamdy/AUG-Problem-Solving-For-Bioinformatics-Level-1-

7273610cc2e37acb65530dc384472e78ee8c30f7

[ "MIT" ]

4

2021-04-16T12:27:16.000Z

2021-10-08T19:05:33.000Z

Session 2/List/UpdateList.py

Tassneem04Hamdy/AUG-Problem-Solving-For-Bioinformatics-Level-1-

7273610cc2e37acb65530dc384472e78ee8c30f7

[ "MIT" ]

null

Session 2/List/UpdateList.py

Tassneem04Hamdy/AUG-Problem-Solving-For-Bioinformatics-Level-1-

7273610cc2e37acb65530dc384472e78ee8c30f7

[ "MIT" ]

5

2021-04-18T10:46:44.000Z

2021-05-03T16:13:25.000Z

@auther nouran ahmed ibrahim List1 = ["World"] List2 = [] List2.append("Hallo") print("List2 : ", List2) List2.insert(0, 1) print("List2 : ", List2) # List2 += List1 List2.extend(List1) print("List2 : ", List2, "\n") # Shadow copying List1 = List2.copy() List2[0: 2] = [2, "Bye"] print("List1", List1) print("List2", List2, "\n") # copy List1 = List2 List2[0] = 3 print("List1" + str(List1)) print("List2" + str(List2) + "\n") List1[0] = 4 print("List1" + str(List1)) print("List2" + str(List2) + "\n")

15.515152

34

0.607422

73

512

4.260274

0.315068

0.257235

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0.128617

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512

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null

0

1

0

1

0

4

074fe69b8f4756bf997c2064d57c94008be5c239

1,529

py

Python

numbersforwatch.py

BogyMitutoyoCTL/Riesen-Tetris

8bbbaf0b7aeae7890da724d3d72719a7d068237a

[ "MIT" ]

1

2019-04-27T07:28:52.000Z

numbersforwatch.py

BogyMitutoyoCTL/Riesen-Tetris

8bbbaf0b7aeae7890da724d3d72719a7d068237a

[ "MIT" ]

null

numbersforwatch.py

BogyMitutoyoCTL/Riesen-Tetris

8bbbaf0b7aeae7890da724d3d72719a7d068237a

[ "MIT" ]

null

from block import Block from rainbow import rainbowcolors class Number: number_pixels = [ [[1, 1, 1, 1], [1, 0, 0, 1], [1, 0, 0, 1], [1, 0, 0, 1], [1, 1, 1, 1]], [[0, 0, 0, 2], [0, 0, 0, 2], [0, 0, 0, 2], [0, 0, 0, 2], [0, 0, 0, 2]], [[3, 3, 3, 3], [0, 0, 0, 3], [3, 3, 3, 3], [3, 0, 0, 0], [3, 3, 3, 3]], [[4, 4, 4, 4], [0, 0, 0, 4], [0, 4, 4, 4], [0, 0, 0, 4], [4, 4, 4, 4]], [[5, 0, 0, 5], [5, 0, 0, 5], [5, 5, 5, 5], [0, 0, 0, 5], [0, 0, 0, 5]], [[6, 6, 6, 6], [6, 0, 0, 0], [6, 6, 6, 6], [0, 0, 0, 6], [6, 6, 6, 6]], [[7, 7, 7, 7], [7, 0, 0, 0], [7, 7, 7, 7], [7, 0, 0, 7], [7, 7, 7, 7]], [[8, 8, 8, 8], [0, 0, 0, 8], [0, 0, 0, 8], [0, 0, 0, 8], [0, 0, 0, 8]], [[9, 9, 9, 9], [9, 0, 0, 9], [9, 9, 9, 9], [9, 0, 0, 9], [9, 9, 9, 9]], [[10, 10, 10, 10], [10, 0, 0, 10], [10, 10, 10, 10], [0, 0, 0, 10], [10, 10, 10, 10]] ] number_colors = rainbowcolors(len(number_pixels)) def __init__(self, number: int): self.pixel = Number.number_pixels[number] self.color = Number.number_colors[number] self.block = Block(self.pixel, self.color)

20.662162

53

0.29758

242

1,529

1.842975

0.11157

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0.127803

0.06278

0.457399

0.412556

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0

0.267081

0.473512

1,529

73

54

20.945205

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null

1

0

1

0

1

0

null

0

4

0764745f5097e1eb21d2831766aab61f16824dea

84

py

Python

docassemblecli/dainstall.py

jhpyle/docassemblecli

96d8eeb4039c88f79a6cdd752ddf2b00e7775848

[ "MIT" ]

5

2021-02-28T14:19:59.000Z

2021-12-14T16:05:05.000Z

docassemblecli/dainstall.py

jhpyle/docassemblecli

96d8eeb4039c88f79a6cdd752ddf2b00e7775848

[ "MIT" ]

null

docassemblecli/dainstall.py

jhpyle/docassemblecli

96d8eeb4039c88f79a6cdd752ddf2b00e7775848

[ "MIT" ]

1

2021-07-20T11:44:31.000Z

from .commands import dainstall as command if __name__ == "__main__": command()

21

42

0.72619

10

84

5.3

0.9

0

0.178571

84

3

43

28

0.768116

0

0.095238

0

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0

0.333333

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0.333333

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null

0

1

0

null

0

1

0

1

0

4

ab22c3fab2718513b6d89c7bf99f3309f0116210

35

py

Python

_tests/_file_props_in.py

deuteronomy-works/Jeremiah

f72b45284ebde9493a87d16072520b8717152aeb

[ "MIT" ]

1

2019-11-26T14:50:59.000Z

_tests/_file_props_in.py

deuteronomy-works/Jeremiah

f72b45284ebde9493a87d16072520b8717152aeb

[ "MIT" ]

32

2019-11-26T13:24:56.000Z

2019-12-06T20:19:45.000Z

_tests/_file_props_in.py

deuteronomy-works/Jeremiah

f72b45284ebde9493a87d16072520b8717152aeb

[ "MIT" ]

null

live = 'yes' def love(): live

7

12

0.514286

5

35

3.6

0.8

0

0.314286

35

4

13

8.75

0.75

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0.085714

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0.333333

false

0

0.333333

0

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0

null

0

1

0

null

0

1

0

4

ab26abe3d923a1c0b61f395fed80306c0d30fa83

2,383

py

Python

events/swagger_params.py

jordanm88/Django-CRM

5faf22acb30aeb32f5830898fd5d8ecd1ac0bbd8

[ "MIT" ]

1,334

2017-06-04T07:47:14.000Z

2022-03-30T17:12:37.000Z

events/swagger_params.py

AhmedDoudou/Django-CRM-1

5faf22acb30aeb32f5830898fd5d8ecd1ac0bbd8

[ "MIT" ]

317

2017-06-04T07:48:13.000Z

2022-03-29T19:24:26.000Z

events/swagger_params.py

AhmedDoudou/Django-CRM-1

5faf22acb30aeb32f5830898fd5d8ecd1ac0bbd8

[ "MIT" ]

786

2017-06-06T09:18:48.000Z

2022-03-29T01:29:29.000Z

from drf_yasg import openapi organization_params_in_header = openapi.Parameter( "org", openapi.IN_HEADER, required=True, type=openapi.TYPE_INTEGER ) organization_params = [ organization_params_in_header, ] event_list_get_params = [ organization_params_in_header, openapi.Parameter("name", openapi.IN_QUERY, type=openapi.TYPE_STRING), openapi.Parameter("created_by", openapi.IN_QUERY, type=openapi.TYPE_STRING), openapi.Parameter("assigned_users", openapi.IN_QUERY, type=openapi.TYPE_STRING), openapi.Parameter( "date_of_meeting", openapi.IN_QUERY, type=openapi.FORMAT_DATE, example="2021-01-01", ), ] event_detail_post_params = [ organization_params_in_header, openapi.Parameter( "event_attachment", openapi.IN_QUERY, type=openapi.TYPE_FILE, ), openapi.Parameter("comment", openapi.IN_QUERY, type=openapi.TYPE_STRING), ] event_create_post_params = [ organization_params_in_header, openapi.Parameter( "name", openapi.IN_QUERY, required=True, type=openapi.TYPE_STRING ), openapi.Parameter( "event_type", openapi.IN_QUERY, type=openapi.TYPE_STRING, required=True, enum=["Recurring", "Non-Recurring"], ), openapi.Parameter( "contacts", openapi.IN_QUERY, type=openapi.TYPE_STRING, required=True, ), openapi.Parameter( "start_date", openapi.IN_QUERY, type=openapi.FORMAT_DATE, example="2021-01-01" ), openapi.Parameter( "start_time", openapi.IN_QUERY, type=openapi.FORMAT_DATETIME, example="13:01:01" ), openapi.Parameter( "end_date", openapi.IN_QUERY, type=openapi.FORMAT_DATE, example="2021-01-01" ), openapi.Parameter( "end_time", openapi.IN_QUERY, type=openapi.FORMAT_DATETIME, example="13:01:01" ), openapi.Parameter( "teams", openapi.IN_QUERY, type=openapi.TYPE_STRING, ), openapi.Parameter("assigned_to", openapi.IN_QUERY, type=openapi.TYPE_STRING), openapi.Parameter("description", openapi.IN_QUERY, type=openapi.TYPE_STRING), openapi.Parameter("recurring_days", openapi.IN_QUERY, type=openapi.TYPE_STRING), ] event_comment_edit_params = [ organization_params_in_header, openapi.Parameter("comment", openapi.IN_QUERY, type=openapi.TYPE_STRING), ]

30.551282

88

0.690726

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2,383

5.565836

0.185053

0.140665

0.161125

0.195652

0.832481

0.783248

0.714194

0.693734

0.629156

0.44757

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0.018672

0.190936

2,383

77

89

30.948052

0.792531

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0.521127

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0.014085

0

null

0

1

0

null

0

4

db4726f554fb004cade79d9042b1bc868920a3ac

175

py

Python

api/__init__.py

tseng1026/SideProject-Investment

e7135e667cdee16d1d754ca0f9ebd88226083e66

[ "MIT" ]

null

api/__init__.py

tseng1026/SideProject-Investment

e7135e667cdee16d1d754ca0f9ebd88226083e66

[ "MIT" ]

null

api/__init__.py

tseng1026/SideProject-Investment

e7135e667cdee16d1d754ca0f9ebd88226083e66

[ "MIT" ]

null

from api.adapter import ApiAdapter from api.binance_api import BinanceApi from api.yahoo_api import YahooFinanceApi __all__ = ["ApiAdapter", "BinanceApi", "YahooFinanceApi"]

29.166667

57

0.817143

21

175

6.52381

0.47619

0.153285

0

0.102857

175

5

58

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0.872611

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0.2

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null

0

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null

0

1

0

1

0

4

db9e29b6b31cc16143ece1e654d406b2d93fc2d1

121

py

Python

bsp_tool/extensions/__init__.py

LaudateCorpus1/bsp_tool

e8c2489ac3bda5a4467f1dce220a76bbf4ce5b19

[ "MIT" ]

44

2018-07-06T04:44:02.000Z

2022-03-27T02:18:37.000Z

bsp_tool/extensions/__init__.py

LaudateCorpus1/bsp_tool

e8c2489ac3bda5a4467f1dce220a76bbf4ce5b19

[ "MIT" ]

18

2018-07-25T23:19:17.000Z

2022-03-16T23:59:36.000Z

bsp_tool/extensions/__init__.py

LaudateCorpus1/bsp_tool

e8c2489ac3bda5a4467f1dce220a76bbf4ce5b19

[ "MIT" ]

12

2019-09-13T21:52:51.000Z

2022-03-22T18:04:21.000Z

"""To use an extension you must import it directly: from bsp_tool.extensions import extension extension.function(...)"""

30.25

51

0.768595

17

121

5.411765

0.823529

0

0.115702

121

3

52

40.333333

0.859813

0.942149

0

null

0

null

0

null

0

null

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null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

4

dba8e5917747490a86a8d6c15bace9b96568eadd

147

py

Python

c_translator/formative/f3.py

mahudu97/ANSI-C_Compiler

0e3f9960bf6c4e1e03f5d4d41b5f162be4d55131

[ "Unlicense" ]

6

2019-05-21T09:42:10.000Z

2021-03-22T04:34:20.000Z

c_translator/formative/f3.py

mahudu97/ANSI-C_Compiler

0e3f9960bf6c4e1e03f5d4d41b5f162be4d55131

[ "Unlicense" ]

null

c_translator/formative/f3.py

mahudu97/ANSI-C_Compiler

0e3f9960bf6c4e1e03f5d4d41b5f162be4d55131

[ "Unlicense" ]

1

2019-06-25T22:35:24.000Z

def f(x): return 10 def main(): return f(11)+7 # Boilerplate if __name__ == "__main__": import sys ret=main() sys.exit(ret)

11.307692

26

0.578231

22

147

3.5

0.681818

0

0.04717

0.278912

147

12

27

12.25

0.679245

0.07483

0

0.06015

0

1

0.25

false

0

0.125

0.25

0.625

0

1

0

null

0

null

0

1

0

1

0

4

dbada16d1004ab8ce58410de0384588e83888a0d

15,828

py

Python

test_dalmatianmedia.py

olih/visual-experiments

4ef3eab05242d8529ad171cb78f1bbabc7bc5abd

[ "MIT" ]

null

test_dalmatianmedia.py

olih/visual-experiments

4ef3eab05242d8529ad171cb78f1bbabc7bc5abd

[ "MIT" ]

null

test_dalmatianmedia.py

olih/visual-experiments

4ef3eab05242d8529ad171cb78f1bbabc7bc5abd

[ "MIT" ]

null

import unittest from fractions import Fraction from fracgeometry import V2d, V2dList, VSegment, VPath, FractionList from dalmatianmedia import DlmtView, DlmtTagDescription, DlmtBrush, DlmtBrushstroke, DlmtCoordinateSystem, DlmtBrushCoordinateSystem, DlmtHeaders, DalmatianMedia, SvgRenderingConfig pt0 = V2d.from_string("0/1 0/1") ptA = V2d.from_string("1/4 1/3") ptB = V2d.from_string("1/5 1/6") ptC = V2d.from_string("1/7 -1/9") ptD = V2d.from_string("-1/13 -1/23") ptE = V2d.from_string("1/17 4/5") class TestDlmtView(unittest.TestCase): def test_convert(self): line = "view i:1 lang en-gb xy 1/2 -1/3 width 1 height 1/2 flags OC tags all but [ i:1, i:2 ] -> everything" self.assertEqual(str(DlmtView.from_string(line)), line) def test_accept(self): common = "view i:1 lang en-gb xy 1/2 -1/3 width 1 height 1/2 flags OC " self.assertTrue(DlmtView.from_string(common + "tags all but [ i:1, i:2 ] ->").accept_tags(set(["i:3", "i:4"]))) self.assertFalse(DlmtView.from_string(common + "tags all but [ i:1, i:2 ] ->").accept_tags(set(["i:3","i:2"]))) self.assertTrue(DlmtView.from_string(common + "tags none but [ i:3 ] ->").accept_tags(set(["i:3", "i:2"]))) self.assertFalse(DlmtView.from_string(common + "tags none but [ i:3 ] ->").accept_tags(set(["i:4", "i:5"]))) class TestDlmtTagDescription(unittest.TestCase): def test_convert(self): line = "tag i:1 lang en-gb same-as [ geospecies:bioclasses/P632y, geospecies:bioclasses/P631y ] -> part of head" self.assertEqual(str(DlmtTagDescription.from_string(line)), line) class TestDlmtBrush(unittest.TestCase): def test_convert(self): line = "brush i:1 ext-id brushes:abc3F path [ M -1/3 1/3,L 2/3 1/4,L 1/4 2/3,L -2/3 1/2 ]" self.assertEqual(str(DlmtBrush.from_string(line)), line) class TestDlmtBrushstroke(unittest.TestCase): def test_convert(self): line = "brushstroke i:1 xy 1/15 1/100 scale 1/10 angle 1/4 tags [ i:1 ]" self.assertEqual(str(DlmtBrushstroke.from_string(line)), line) class TestDlmtCoordinateSystem(unittest.TestCase): def test_convert(self): line = "system cartesian right-dir + up-dir -" self.assertEqual(str(DlmtCoordinateSystem.from_string(line)), line) class TestDlmtBrushCoordinateSystem(unittest.TestCase): def test_convert(self): line = "system cartesian right-dir + up-dir - origin-x -1/2 origin-y 1/4" self.assertEqual(str(DlmtBrushCoordinateSystem.from_string(line)), line) class TestDlmtHeaders(unittest.TestCase): def test_convert(self): headers = DlmtHeaders() headers.set_page_coordinate_system_string("system cartesian right-dir + up-dir -") headers.set_brush_coordinate_system_string("system cartesian right-dir + up-dir - origin-x 1/2 origin-y 1/2") headers.set_brush_page_ratio(Fraction("1/30")) headers.set_prefixes({ "prefix1": "http://domain1.com", "prefix2": "http://domain2.com"}) headers.set_text("license", "en", "Creative Commons") headers.set_text("license", "fr", "Creative Communs") headers.set_text("title", "en", "Some english title") headers.set_text("title", "fr", "Titre en francais") headers.set_url("license-url", "html", "en", "https://creativecommons.org/licenses/by-sa/4.0/legalcode") headers.set_url("brushes-license-url", "json", "en", "https://creativecommons.org/licenses/by/4.0/legalcode") headers.set_id_urn("company/project/123") headers.set_copyright_year(2020) self.assertEqual(DlmtHeaders.from_string_list(headers.to_string_list()), headers) class TestSvgRenderingConfig(unittest.TestCase): def test_to_svg_xy_string(self): headers = DlmtHeaders() headers.set_page_coordinate_system_string("system cartesian right-dir + up-dir -") headers.set_brush_page_ratio(Fraction("1/50")) view = DlmtView.from_string("view i:1 lang en-gb xy 20/100 20/100 width 40/100 height 30/100 flags OC tags all but [ ]-> test") renderConfig = SvgRenderingConfig(headers, view, 400) self.assertEqual(renderConfig.to_page_view_box(), "0 0 400.000 300.000") self.assertEqual(renderConfig.to_brush_view_box(), "-10.000 -10.000 20.000 20.000") self.assertEqual(renderConfig.brush_width, Fraction(20.0)) homeBrush = "brush i:1 ext-id brushes:home path [ M -1/3 1/3,L 0 0, L 1/3 1/3,L 1/3 -1/3,L -1/3 -1/3 ]" class TestDalmatianMedia(unittest.TestCase): def test_convert(self): headers = DlmtHeaders() headers.set_page_coordinate_system_string("system cartesian right-dir + up-dir -") headers.set_brush_coordinate_system_string("system cartesian right-dir + up-dir - origin-x 1/2 origin-y 1/2") headers.set_brush_page_ratio(Fraction("1/30")) headers.set_prefixes({ "prefix1": "http://domain1.com", "prefix2": "http://domain2.com", "geospecies": "http://geospecies"}) headers.set_text("license", "en", "Creative Commons") headers.set_text("license", "fr", "Creative Communs") headers.set_text("title", "en", "Some english title") headers.set_text("title", "fr", "Titre en francais") headers.set_url("license-url", "html", "en", "https://creativecommons.org/licenses/by-sa/4.0/legalcode") headers.set_url("brushes-license-url", "json", "en", "https://creativecommons.org/licenses/by/4.0/legalcode") media = DalmatianMedia(headers) media.add_view_string("view i:1 lang en-gb xy -1/2 -1/2 width 1/1 height 1/1 flags OC tags all but [ ] -> everything") media.add_tag_description_string("tag i:1 lang en-gb same-as [ geospecies:bioclasses/P632y ] -> part of head") media.add_tag_description_string("tag i:1 lang fr-fr same-as [] -> visage") media.add_tag_description_string("tag i:2 lang fr same-as [] -> pied") media.add_brush_string("brush i:1 ext-id brushes:abc3F path [ M -1/3 1/3,L 2/3 1/4,L 1/4 2/3,L -2/3 1/2 ]") media.add_brush_string("brush i:2 ext-id brushes:abc4F path [ M -1/3 1/3,L 2/3 3/4,L 1/4 2/3,L -2/3 1/2 ]") media.add_brushstroke_string("brushstroke i:1 xy 1/15 1/100 scale 1/10 angle 0/1 tags [ i:1 ]") media.add_brushstroke_string("brushstroke i:1 xy 2/15 2/100 scale 2/10 angle 0/1 tags [ i:1 ]") media.add_brushstroke_string("brushstroke i:1 xy 3/15 3/100 scale 3/10 angle 0/1 tags [ i:1 ]") media.add_brushstroke_string("brushstroke i:2 xy 4/15 5/100 scale 5/10 angle 0/1 tags [ i:1, i:2 ]") self.assertEqual(DalmatianMedia.from_obj(media.to_obj()), media) self.assertEqual(DalmatianMedia.from_string(str(media)), media) self.assertEqual(media.get_tag_ids(), set(["i:1", "i:2"])) self.assertEqual(media.get_brush_ids(), set(["i:1", "i:2"])) self.assertEqual(media.get_view_ids(), set(["i:1"])) self.assertEqual(media.get_used_brush_ids(), set(["i:1", "i:2"])) self.assertEqual(media.get_used_tag_ids(), set(["i:1", "i:2"])) self.assertEqual(media.get_used_short_prefixes(), set(["geospecies"])) self.assertEqual(media.check_references(), []) def test_to_page_brushstroke_list(self): media = DalmatianMedia(DlmtHeaders().set_brush_page_ratio(Fraction("1/100"))) media.add_view_string("view i:1 lang en-gb xy 0 0 width 1/1 height 1/1 flags OC tags all but [ ]-> everything") media.add_tag_description_string("tag i:1 lang en-gb same-as [] -> default tag") media.add_brush_string(homeBrush) for i in range(0, 90, 10): media.add_brushstroke_string("brushstroke i:1 xy {}/100 10/100 scale 1 angle 0/1 tags [ i:1 ]".format(i)) pblist = media.to_page_brushstroke_list() self.assertEqual(len(pblist), 9) self.assertEqual(pblist[0].to_string(), "pbs path [ M -1/300 31/300,L 0 1/10,L 1/300 31/300,L 1/300 29/300,L -1/300 29/300 ] tags ['i:1']") self.assertEqual(pblist[1].to_string(), "pbs path [ M 29/300 31/300,L 1/10 1/10,L 31/300 31/300,L 31/300 29/300,L 29/300 29/300 ] tags ['i:1']") self.assertEqual(pblist[2].to_string(), "pbs path [ M 59/300 31/300,L 1/5 1/10,L 61/300 31/300,L 61/300 29/300,L 59/300 29/300 ] tags ['i:1']") def test_to_page_brushstroke_list_scale(self): media = DalmatianMedia(DlmtHeaders().set_brush_page_ratio(Fraction("1/100"))) media.add_view_string("view i:1 lang en-gb xy 0 0 width 1/1 height 1/1 flags OC tags all but [ ] -> everything") media.add_tag_description_string("tag i:1 lang en-gb same-as [] -> default tag") media.add_brush_string(homeBrush) for i in range(0, 90, 10): media.add_brushstroke_string("brushstroke i:1 xy {}/100 10/100 scale 2 angle 0/1 tags [ i:1 ]".format(i)) pblist = media.to_page_brushstroke_list() self.assertEqual(len(pblist), 9) self.assertEqual(pblist[0].to_string(), "pbs path [ M -1/150 8/75,L 0 1/10,L 1/150 8/75,L 1/150 7/75,L -1/150 7/75 ] tags ['i:1']") self.assertEqual(pblist[1].to_string(), "pbs path [ M 7/75 8/75,L 1/10 1/10,L 8/75 8/75,L 8/75 7/75,L 7/75 7/75 ] tags ['i:1']") def test_to_page_brushstroke_list_for_view_all(self): theview = DlmtView.from_string("view i:1 lang en-gb xy 0 0 width 1/1 height 1/1 flags OC tags all but [ ]-> everything") media = DalmatianMedia(DlmtHeaders().set_brush_page_ratio(Fraction("1/100"))) media.add_view(theview) media.add_tag_description_string("tag i:1 lang en-gb same-as [] -> default tag") media.add_brush_string(homeBrush) for i in range(5, 90, 10): media.add_brushstroke_string("brushstroke i:1 xy {}/100 10/100 scale 1 angle 0/1 tags [ i:1 ]".format(i)) pblist = media.to_page_brushstroke_list() pblistforview = media.page_brushstroke_list_for_view(theview) self.assertEqual(pblist, pblistforview) def test_to_page_brushstroke_list_for_view_zoom(self): theview = DlmtView.from_string("view i:2 lang en-gb xy 20/100 20/100 width 1/2 height 1/2 flags o tags all but [ ] -> everything") media = DalmatianMedia(DlmtHeaders().set_brush_page_ratio(Fraction("1/100"))) media.add_view(theview) media.add_tag_description_string("tag i:1 lang en-gb same-as [] -> default tag") media.add_brush_string(homeBrush) for i in range(0, 90, 10): media.add_brushstroke_string("brushstroke i:1 xy {}/100 10/100 scale 1 angle 0/1 tags [ i:1 ]".format(i)) pblist = media.to_page_brushstroke_list() pblistforview = media.page_brushstroke_list_for_view(theview) self.assertNotEqual(pblistforview, pblist) self.assertEqual(len(pblistforview), len(pblist)) def test_to_page_brushstroke_list_for_view_zoom_optimized(self): theview = DlmtView.from_string("view i:2 lang en-gb xy 20/100 20/100 width 1/2 height 1/2 flags O tags all but [ ] -> everything") media = DalmatianMedia(DlmtHeaders().set_brush_page_ratio(Fraction("1/100"))) media.add_view(theview) media.add_tag_description_string("tag i:1 lang en-gb same-as [] -> default tag") media.add_brush_string(homeBrush) for i in range(0, 90, 10): media.add_brushstroke_string("brushstroke i:1 xy {}/100 30/100 scale 1 angle 0/1 tags [ i:1 ]".format(i)) pblist = media.to_page_brushstroke_list() pblistforview = media.page_brushstroke_list_for_view(theview) self.assertNotEqual(pblistforview, pblist) self.assertNotEqual(len(pblistforview), len(pblist)) self.assertEqual(len(pblistforview), 4) def test_to_page_brushstroke_list_for_view_tags(self): viewallbut2 = DlmtView.from_string("view i:1 lang en-gb xy 0 0 width 1/1 height 1/1 flags OC tags all but [ i:2 ]-> everything") viewnonebut3 = DlmtView.from_string("view i:1 lang en-gb xy 0 0 width 1/1 height 1/1 flags OC tags none but [ i:3 ]-> everything") media = DalmatianMedia(DlmtHeaders().set_brush_page_ratio(Fraction("1/100"))) media.add_view(viewallbut2) media.add_tag_description_string("tag i:1 lang en-gb same-as [] -> tag1") media.add_tag_description_string("tag i:2 lang en-gb same-as [] -> tag2") media.add_tag_description_string("tag i:3 lang en-gb same-as [] -> tag3") media.add_brush_string(homeBrush) media.add_brushstroke_string("brushstroke i:1 xy 10/100 10/100 scale 1 angle 0/1 tags [ i:1 ]") media.add_brushstroke_string("brushstroke i:1 xy 20/100 10/100 scale 1 angle 0/1 tags [ i:1, i:2 ]") media.add_brushstroke_string("brushstroke i:1 xy 30/100 10/100 scale 1 angle 0/1 tags [ i:2 ]") media.add_brushstroke_string("brushstroke i:1 xy 40/100 10/100 scale 1 angle 0/1 tags [ i:3 ]") self.assertEqual(len(media.page_brushstroke_list_for_view(viewallbut2)), 2) self.assertEqual(len(media.page_brushstroke_list_for_view(viewnonebut3)), 1) def test_export_svg(self): headers = DlmtHeaders().set_brush_page_ratio(Fraction("1/100")) headers.set_id_urn("company/project/example123") headers.set_text("name", "en", "example123") headers.set_text("title", "en", "some relevant title") headers.set_text("license", "en", "No Rights Reserved (CC0)") headers.set_text("attribution-name", "en", "Public domain") headers.set_text("brushes-attribution-name", "en", "Public domain") headers.set_text("author", "en", "Public domain") headers.set_text("description", "en", "some description") headers.set_url("content-url", "dlmt", "en", "https://your-personal-website.com/example123.dlmt") headers.set_url("license-url", "html", "en", "https://creativecommons.org/share-your-work/public-domain/cc0/") headers.set_url("brushes-license-url", "html", "en", "https://creativecommons.org/share-your-work/public-domain/cc0/") headers.set_url("author-url", "html", "en", "https://your-personal-website.com/profile") headers.set_url("attribution-url", "html", "en", "https://your-personal-website.com/profile") headers.set_url("brushes-attribution-url", "html", "en", "https://your-personal-website.com/profile") headers.set_url("homepage-url", "html", "en", "https://your-personal-website.com/homepage") headers.set_url("repository-url", "html", "en", "https://your-personal-website.com/sourcecode") headers.set_copyright_year(2020) headers.set_is_family_friendly(True) media = DalmatianMedia(headers) media.add_view_string("view i:1 lang en-gb xy 0 0 width 1/1 height 1/1 flags OC tags all but [ ] -> everything") media.add_view_string("view i:2 lang en-gb xy 20/100 20/100 width 1/2 height 1/2 flags OC tags all but [ ] -> everything") media.add_tag_description_string("tag i:1 lang en-gb same-as [] -> default tag") media.add_brush_string(homeBrush) for i in range(0, 90, 10): media.add_brushstroke_string("brushstroke i:1 xy {}/100 10/100 scale 1 angle 0/1 tags [ i:1 ]".format(i)) for i in range(0, 90, 10): media.add_brushstroke_string("brushstroke i:1 xy {}/100 30/100 scale {}/10 angle 0/1 tags [ i:1 ]".format(i, i + 1)) for i in range(0, 90, 10): media.add_brushstroke_string("brushstroke i:1 xy {}/100 50/100 scale 3 angle {}/90 tags [ i:1 ]".format(i, i)) media.to_xml_svg_file(media.create_page_pixel_coordinate("i:1", 100), "examples/one.svg") with open("examples/one.dlmt", 'w') as dlmtfile: dlmtfile.write(media.to_string()) media.to_xml_svg_file(media.create_page_pixel_coordinate("i:2", 100), "examples/one-zoom.svg")

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dbb06f58a2e1bad52e5cf75c9ece2dc9af397b64

51

py

Python

src/pygooglechart/__init__.py

santiago-iturriaga/dolardo

d132fd15b8d7302e80dd58876f6fdcdf60f5c3a2

[ "Unlicense" ]

null

src/pygooglechart/__init__.py

santiago-iturriaga/dolardo

d132fd15b8d7302e80dd58876f6fdcdf60f5c3a2

[ "Unlicense" ]

null

src/pygooglechart/__init__.py

santiago-iturriaga/dolardo

d132fd15b8d7302e80dd58876f6fdcdf60f5c3a2

[ "Unlicense" ]

null

''' Created on Aug 15, 2009 @author: santiago '''

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dbb6bd5de28c93beb32a51d4776db8f17a4f675d

34

py

Python

demo_zinnia_tinymce/__init__.py

glassfordm/zinnia-wysiwyg-tinymce

7a357fe4608ffe3f76e095ce8815b93319e86ff0

[ "BSD-3-Clause" ]

4

2016-07-04T03:27:37.000Z

2018-07-06T17:58:09.000Z

demo_zinnia_tinymce/__init__.py

glassfordm/zinnia-wysiwyg-tinymce

7a357fe4608ffe3f76e095ce8815b93319e86ff0

[ "BSD-3-Clause" ]

10

2015-02-04T19:37:14.000Z

2018-11-02T05:29:47.000Z

demo_zinnia_tinymce/__init__.py

glassfordm/zinnia-wysiwyg-tinymce

7a357fe4608ffe3f76e095ce8815b93319e86ff0

[ "BSD-3-Clause" ]

15

2015-04-13T03:33:33.000Z

2021-08-18T08:49:44.000Z

"""Demo of Zinnia with TinyMCE"""

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916041fd8d49baa4d21617eb1ff4cc0259755549

223

py

Python

vitessce/_version.py

vitessce/vitessce-jupyter

203aff00679c4297979142c31e33673d84442390

[ "MIT" ]

2

2020-11-13T15:33:15.000Z

2020-11-13T19:15:22.000Z

vitessce/_version.py

vitessce/vitessce-jupyter

203aff00679c4297979142c31e33673d84442390

[ "MIT" ]

1

2020-11-20T04:07:54.000Z

vitessce/_version.py

vitessce/vitessce-jupyter

203aff00679c4297979142c31e33673d84442390

[ "MIT" ]

null

# Module version py_version_info = (1, 0, 8) js_version_info = (0, 1, 13) # Module version accessible using vitessce.__version__ __version__ = '%s.%s.%s' % ( py_version_info[0], py_version_info[1], py_version_info[2])

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918783d05344df568cc838a0c9e24b6069fff570

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py

Python

src/Content.py

goghtsui/PythonSource-dimen

9ba7e6e7872a4f378eaefdb7c8b3a8069cd48033

[ "Apache-2.0" ]

null

src/Content.py

goghtsui/PythonSource-dimen

9ba7e6e7872a4f378eaefdb7c8b3a8069cd48033

[ "Apache-2.0" ]

null

src/Content.py

goghtsui/PythonSource-dimen

9ba7e6e7872a4f378eaefdb7c8b3a8069cd48033

[ "Apache-2.0" ]

null

#!/usr/bin/env python # -*- coding:utf-8 -*- from src import Constants class Content: def __init__(self): self.lang = Constants.LANGUAGE def get_window_title(self): if Constants.LANGUAGE == 0: return 'Dimens Adapter 4.1' else: return 'Dimens 适配器 4.1' def get_sub_title(self): if Constants.LANGUAGE == 0: return 'Dimens Adapter' else: return 'Dimens 适配器' def start_convert_data(self): if Constants.LANGUAGE == 0: return '>> Start to convert the data...' else: return '>> 开始转换数据...' def seprate(self): if Constants.LANGUAGE == 0: return '=========================' else: return '========华丽分割==========' def param_error(self): if Constants.LANGUAGE == 0: return 'Please enter the correct information.' else: return '请输入正确的配置参数' def output_file_path(self): if Constants.LANGUAGE == 0: return 'Select file path %s ' else: return '目标文件地址：%s ' def start_parse_param(self): if Constants.LANGUAGE == 0: return '>> Start to parse parameters...' else: return '开始解析配置参数' def load_dimen_file(self): if Constants.LANGUAGE == 0: return '>> Loading the xml file : %s ' else: return '正在加载文件 : %s ' def load_success(self): if Constants.LANGUAGE == 0: return '>> File read successfully..' else: return '文件读取成功' def generate_data(self): if Constants.LANGUAGE == 0: return '>> Start to generate the target xml data...' else: return '开始生成目标配置数据' def generate_file(self): if Constants.LANGUAGE == 0: return '>> Start to generate the target xml file...' else: return '正在创建目标文件...' def start_write_date(self): if Constants.LANGUAGE == 0: return '>> Start to write data to target xml file...' else: return '正在写数据，请稍后...' def convert_success(self): if Constants.LANGUAGE == 0: return '>> Write successfully...' else: return '数据转换完成...' def new_file_path(self): if Constants.LANGUAGE == 0: return '>> Target File Path: %s ' else: return '转换文件：%s ' def get_lable_file_path(self): if Constants.LANGUAGE == 0: return 'file path' else: return '文件地址' def get_lable_debug_info(self): if Constants.LANGUAGE == 0: return 'debug info' else: return '调试信息' def get_button_browse(self): if Constants.LANGUAGE == 0: return 'browser' else: return '浏览...' def get_button_convert(self): if Constants.LANGUAGE == 0: return ' start ' else: return '开始转换' def menu_file(self): if Constants.LANGUAGE == 0: return 'File' else: return '文件' def menu_option(self): if Constants.LANGUAGE == 0: return 'Options' else: return '选项' def menu_language(self): if Constants.LANGUAGE == 0: return 'Language' else: return '语言' def menu_help(self): if Constants.LANGUAGE == 0: return 'Help' else: return '帮助' def menu_about(self): if Constants.LANGUAGE == 0: return 'About' else: return '关于' def menu_language_change(self): if Constants.LANGUAGE == 0: return 'Chinese' else: return 'English' def menu_help_instruc(self): if Constants.LANGUAGE == 0: return 'Instructions' else: return '使用说明' def menu_about_author(self): if Constants.LANGUAGE == 0: return 'Author' else: return '作者'

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9189540600432d0ffc70ca52fae545c74e860276

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py

Python

baseline/tf/classify/train.py

shar999/mead-baseline

bd9cd02c0a1d9c0df91aca171774a6967e6ce190

[ "Apache-2.0" ]

241

2016-04-25T20:02:31.000Z

2019-09-03T05:44:09.000Z

baseline/tf/classify/train.py

shar999/mead-baseline

bd9cd02c0a1d9c0df91aca171774a6967e6ce190

[ "Apache-2.0" ]

42

2017-08-21T16:04:36.000Z

2019-09-30T20:45:17.000Z

baseline/tf/classify/train.py

shar999/mead-baseline

bd9cd02c0a1d9c0df91aca171774a6967e6ce190

[ "Apache-2.0" ]

75

2016-06-28T01:18:58.000Z

2019-08-29T06:47:22.000Z

"""Train a classifier with TensorFlow This module supports several different ways of training a model 1. eager mode (`default` for eager) 2. distributed eager mode (`distributed`) """ from baseline.tf.classify.training import *

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91b1f68df3dc6f54d19c824544b4ba5559af53d8

246

py

Python

myapp/serializers.py

y2rayk/send-receive

45bfaf11d549e8486b7bc08a02ba4a65e4b916d9

[ "MIT" ]

1

2021-05-25T03:48:55.000Z

myapp/serializers.py

y2rayk/send-receive

45bfaf11d549e8486b7bc08a02ba4a65e4b916d9

[ "MIT" ]

null

myapp/serializers.py

y2rayk/send-receive

45bfaf11d549e8486b7bc08a02ba4a65e4b916d9

[ "MIT" ]

null

from .models import Message from rest_framework_json_api import serializers class MessageSerializer(serializers.ModelSerializer): class Meta: model = Message fields = ['id', 'sender', 'text', 'receiver', 'seen', 'pub_date']

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1

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1

0

4

91b5e3c19df5824c303b99c4aee66b7b6a0b48d5

97

py

Python

aiohttp_pydantic/__init__.py

m3th0d/aiohttp-pydantic

92a84b670c02c084b1af48029a8c6239e17618be

[ "MIT" ]

null

aiohttp_pydantic/__init__.py

m3th0d/aiohttp-pydantic

92a84b670c02c084b1af48029a8c6239e17618be

[ "MIT" ]

null

aiohttp_pydantic/__init__.py

m3th0d/aiohttp-pydantic

92a84b670c02c084b1af48029a8c6239e17618be

[ "MIT" ]

null

from .view import PydanticView __version__ = "1.7.1" __all__ = ("PydanticView", "__version__")

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0

4

91b63c7d4ad042f342d7a21fb50b2d65bec23a93

226

py

Python

src/training_utils/__init__.py

subhadarship/GermEval2021

c131b88a90bbb236afb57cff6302f7a2afd99346

[ "MIT" ]

1

2021-09-12T10:11:39.000Z

src/training_utils/__init__.py

subhadarship/GermEval2021

c131b88a90bbb236afb57cff6302f7a2afd99346

[ "MIT" ]

null

src/training_utils/__init__.py

subhadarship/GermEval2021

c131b88a90bbb236afb57cff6302f7a2afd99346

[ "MIT" ]

1

2022-01-17T15:36:44.000Z

from .eval_metrics import compute_metrics from .log import init_logger from .postprocess import postprocess_labels from .seed import seed_everything from .time_tracker import epoch_time from .train_loop import train, evaluate

32.285714

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0.858407

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226

5.636364

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0.110619

226

6

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37.666667

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true

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null

0

1

0

1

0

1

0

4

91c607caef14c373d57621065104c7ceb6ab2381

9,768

py

Python

dz_clock.py

viktarbodr/course_python

b8836df6b6a0e79f5542f3ee1fe93b54e35f0298

[ "Apache-2.0" ]

null

dz_clock.py

viktarbodr/course_python

b8836df6b6a0e79f5542f3ee1fe93b54e35f0298

[ "Apache-2.0" ]

null

dz_clock.py

viktarbodr/course_python

b8836df6b6a0e79f5542f3ee1fe93b54e35f0298

[ "Apache-2.0" ]

null

from os import system import datetime, time # black b = '\u25FB\u25FB' # white w = '\u00A0''\u00A0' t_01 = b + b + b t_02 = b + w + b t_03 = b + w + b t_04 = b + w + b t_05 = b + b + b t_11 = w + b + w t_12 = b + b + w t_13 = w + b + w t_14 = w + b + w t_15 = w + b + w t_21 = b + b + b t_22 = w + w + b t_23 = w + b + w t_24 = b + w + w t_25 = b + b + b t_31 = b + b + b t_32 = w + w + b t_33 = b + b + b t_34 = w + w + b t_35 = b + b + b t_41 = b + w + b t_42 = b + w + b t_43 = b + b + b t_44 = w + w + b t_45 = w + w + b t_51 = b + b + b t_52 = b + w + w t_53 = b + b + b t_54 = w + w + b t_55 = b + b + b t_61 = b + b + b t_62 = b + w + w t_63 = b + b + b t_64 = b + w + b t_65 = b + b + b t_71 = b + b + b t_72 = w + w + b t_73 = w + b + w t_74 = b + w + w t_75 = b + w + w t_81 = b + b + b t_82 = b + w + b t_83 = b + b + b t_84 = b + w + b t_85 = b + b + b t_91 = b + b + b t_92 = b + w + b t_93 = b + b + b t_94 = w + w + b t_95 = w + b + b # : zz_1 = w + w + w zz_2 = w + b + w zz_3 = w + w + w zz_4 = w + b + w zz_5 = w + w + w # z_1 = w + w + w z_2 = w + w + w z_3 = w + w + w z_4 = w + w + w z_5 = w + w + w def time_n(): while True: t = datetime.datetime.now() item = t.strftime('%H%M%S') if item[0] == '0': hour_01 = t_01 hour_02 = t_02 hour_03 = t_03 hour_04 = t_04 hour_05 = t_05 if item[0]== '1': hour_01 = t_11 hour_02 = t_12 hour_03 = t_13 hour_04 = t_14 hour_05 = t_15 if item[0] == '2': hour_01 = t_21 hour_02 = t_22 hour_03 = t_23 hour_04 = t_24 hour_05 = t_25 if item[1] == '0': hour_11 = t_01 hour_12 = t_02 hour_13 = t_03 hour_14 = t_04 hour_15 = t_05 if item[1] == '1': hour_11 = t_11 hour_12 = t_12 hour_13 = t_13 hour_14 = t_14 hour_15 = t_15 if item[1] == '2': hour_11 = t_21 hour_12 = t_22 hour_13 = t_23 hour_14 = t_24 hour_15 = t_25 if item[1] == '3': hour_11 = t_31 hour_12 = t_32 hour_13 = t_33 hour_14 = t_34 hour_15 = t_35 if item[1] == '4': hour_11 = t_41 hour_12 = t_42 hour_13 = t_43 hour_14 = t_44 hour_15 = t_45 if item[1] == '5': hour_11 = t_51 hour_12 = t_52 hour_13 = t_53 hour_14 = t_54 hour_15 = t_55 if item[1] == '6': hour_11 = t_61 hour_12 = t_62 hour_13 = t_63 hour_14 = t_64 hour_15 = t_65 if item[1] == '7': hour_11 = t_71 hour_12 = t_72 hour_13 = t_73 hour_14 = t_74 hour_15 = t_75 if item[1] == '8': hour_11 = t_81 hour_12 = t_82 hour_13 = t_83 hour_14 = t_84 hour_15 = t_85 if item[1] == '9': hour_11 = t_91 hour_12 = t_92 hour_13 = t_93 hour_14 = t_94 hour_15 = t_95 if item[2] == '0': min_01 = t_01 min_02 = t_02 min_03 = t_03 min_04 = t_04 min_05 = t_05 if item[2] == '1': min_01 = t_11 min_02 = t_12 min_03 = t_13 min_04 = t_14 min_05 = t_15 if item[2] == '2': min_01 = t_21 min_02 = t_22 min_03 = t_23 min_04 = t_24 min_05 = t_25 if item[2] == '3': min_01 = t_31 min_02 = t_32 min_03 = t_33 min_04 = t_34 min_05 = t_35 if item[2] == '4': min_01 = t_41 min_02 = t_42 min_03 = t_43 min_04 = t_44 min_05 = t_45 if item[2] == '5': min_01 = t_51 min_02 = t_52 min_03 = t_53 min_04 = t_54 min_05 = t_55 if item[2] == '6': min_01 = t_61 min_02 = t_62 min_03 = t_63 min_04 = t_64 min_05 = t_65 if item[3] == '0': min_11 = t_01 min_12 = t_02 min_13 = t_03 min_14 = t_04 min_15 = t_05 if item[3] == '1': min_11 = t_11 min_12 = t_12 min_13 = t_13 min_14 = t_14 min_15 = t_15 if item[3] == '2': min_11 = t_21 min_12 = t_22 min_13 = t_23 min_14 = t_24 min_15 = t_25 if item[3] == '3': min_11 = t_31 min_12 = t_32 min_13 = t_33 min_14 = t_34 min_15 = t_35 if item[3] == '4': min_11 = t_41 min_12 = t_42 min_13 = t_43 min_14 = t_44 min_15 = t_45 if item[3] == '5': min_11 = t_51 min_12 = t_52 min_13 = t_53 min_14 = t_54 min_15 = t_55 if item[3] == '6': min_11 = t_61 min_12 = t_62 min_13 = t_63 min_14 = t_64 min_15 = t_65 if item[3] == '7': min_11 = t_71 min_12 = t_72 min_13 = t_73 min_14 = t_74 min_15 = t_75 if item[3] == '7': min_11 = t_71 min_12 = t_72 min_13 = t_73 min_14 = t_74 min_15 = t_75 if item[3] == '8': min_11 = t_81 min_12 = t_82 min_13 = t_83 min_14 = t_84 min_15 = t_85 if item[3] == '9': min_11 = t_91 min_12 = t_92 min_13 = t_93 min_14 = t_94 min_15 = t_95 if item[4] == '0': sec_01 = t_01 sec_02 = t_02 sec_03 = t_03 sec_04 = t_04 sec_05 = t_05 if item[4] == '1': sec_01 = t_11 sec_02 = t_12 sec_03 = t_13 sec_04 = t_14 sec_05 = t_15 if item[4] == '2': sec_01 = t_21 sec_02 = t_22 sec_03 = t_23 sec_04 = t_24 sec_05 = t_25 if item[4] == '3': sec_01 = t_31 sec_02 = t_32 sec_03 = t_33 sec_04 = t_34 sec_05 = t_35 if item[4] == '4': sec_01 = t_41 sec_02 = t_42 sec_03 = t_43 sec_04 = t_44 sec_05 = t_45 if item[4] == '5': sec_01 = t_51 sec_02 = t_52 sec_03 = t_53 sec_04 = t_54 sec_05 = t_55 if item[4] == '6': sec_01 = t_61 sec_02 = t_62 sec_03 = t_63 sec_04 = t_64 sec_05 = t_65 if item[5] == '0': sec_11 = t_01 sec_12 = t_02 sec_13 = t_03 sec_14 = t_04 sec_15 = t_05 if item[5] == '1': sec_11 = t_11 sec_12 = t_12 sec_13 = t_13 sec_14 = t_14 sec_15 = t_15 if item[5] == '2': sec_11 = t_21 sec_12 = t_22 sec_13 = t_23 sec_14 = t_24 sec_15 = t_25 if item[5] == '3': sec_11 = t_31 sec_12 = t_32 sec_13 = t_33 sec_14 = t_34 sec_15 = t_35 if item[5] == '4': sec_11 = t_41 sec_12 = t_42 sec_13 = t_43 sec_14 = t_44 sec_15 = t_45 if item[5] == '5': sec_11 = t_51 sec_12 = t_52 sec_13 = t_53 sec_14 = t_54 sec_15 = t_55 if item[5] == '6': sec_11 = t_61 sec_12 = t_62 sec_13 = t_63 sec_14 = t_64 sec_15 = t_65 if item[5] == '7': sec_11 = t_71 sec_12 = t_72 sec_13 = t_73 sec_14 = t_74 sec_15 = t_75 if item[5] == '8': sec_11 = t_81 sec_12 = t_82 sec_13 = t_83 sec_14 = t_84 sec_15 = t_85 if item[5] == '9': sec_11 = t_91 sec_12 = t_92 sec_13 = t_93 sec_14 = t_94 sec_15 = t_95 if item[5] == '1' or item[5] == '3' or item[5] == '5' or item[5] == '7' or item[5] == '9': sep_1 = zz_1 sep_2 = zz_2 sep_3 = zz_3 sep_4 = zz_4 sep_5 = zz_5 else: sep_1 = z_1 sep_2 = z_2 sep_3 = z_3 sep_4 = z_4 sep_5 = z_5 time.sleep(1) system('clear') print(hour_01 + w + hour_11 + sep_1 + min_01 + w + min_11 + sep_1 + sec_01 + w + sec_11) print(hour_02 + w + hour_12 + sep_2 + min_02 + w + min_12 + sep_2 + sec_02 + w + sec_12) print(hour_03 + w + hour_13 + sep_3 + min_03 + w + min_13 + sep_3 + sec_03 + w + sec_13) print(hour_04 + w + hour_14 + sep_4 + min_04 + w + min_14 + sep_4 + sec_04 + w + sec_14) print(hour_05 + w + hour_15 + sep_5 + min_05 + w + min_15 + sep_5 + sec_05 + w + sec_15) time_n()

24.542714

98

0.391278

1,650

9,768

1.951515

0.057576

0.091304

0.018634

0.024845

0.18882

0.031988

0

0.270265

0.516278

9,768

397

99

24.604534

0.411217

0.001331

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0.031915

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0.009028

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0.00266

false

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0.005319

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0.007979

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0

1

null

0

1

0

1

0

null

0

4

91ec67146c0321142cd9e552feaaae15ff255751

144

py

Python

house-prices/train.py

edublancas/kaggle

368def08908bf8f7f88a4f5e0b6c7b40ca0d2b6b

[ "Apache-2.0" ]

null

house-prices/train.py

edublancas/kaggle

368def08908bf8f7f88a4f5e0b6c7b40ca0d2b6b

[ "Apache-2.0" ]

null

house-prices/train.py

edublancas/kaggle

368def08908bf8f7f88a4f5e0b6c7b40ca0d2b6b

[ "Apache-2.0" ]

null

import pandas as pd from sklearn.ensemble import RandomForestRegressor path_to_train = 'output/raw/train.csv' df = pd.read_csv(path_to_train)

20.571429

50

0.8125

23

144

4.869565

0.695652

0.107143

0.196429

0

0.111111

144

6

51

24

0.875

0

0.138889

0

1

0

false

0

0.5

0

0.5

0

1

0

null

0

1

0

1

0

null

0

1

0

4

37e7f099f85c6635aebaad8ef535732763af4a61

104

py

Python

Py91/main.py

xhexe/Py8R

44238c5403e7f76988760a040bf5c292824c22e7

[ "WTFPL" ]

null

Py91/main.py

xhexe/Py8R

44238c5403e7f76988760a040bf5c292824c22e7

[ "WTFPL" ]

null

Py91/main.py

xhexe/Py8R

44238c5403e7f76988760a040bf5c292824c22e7

[ "WTFPL" ]

null

di = {'Scala:': 1.7, 'Java:': 0.4, 'Rust:': 1.9, 'Golang:': 1.88, 'PHP:': 0.65} print(sum(di.values()))

34.666667

79

0.5

20

104

2.6

0.8

0

0.131868

0.125

104

2

80

52

0.43956

0

0.259615

0

1

0

false

0

0.5

1

0

null

0

1

0

1

0

null

0

1

0

4

37eff0356edecc2875da3c3b23e2074ba44b5fee

49

py

Python

core/user/__init__.py

eduardomarco/django-auth-react-tutorial

47460a9575d4a82bcb07f7703d189620bddd19b0

[ "Apache-2.0" ]

8

2021-06-28T17:59:10.000Z

2022-03-12T12:24:17.000Z

core/user/__init__.py

eduardomarco/django-auth-react-tutorial

47460a9575d4a82bcb07f7703d189620bddd19b0

[ "Apache-2.0" ]

1

2021-08-11T17:07:37.000Z

2021-08-13T08:40:35.000Z

core/user/__init__.py

eduardomarco/django-auth-react-tutorial

47460a9575d4a82bcb07f7703d189620bddd19b0

[ "Apache-2.0" ]

5

2021-06-29T11:53:28.000Z

2022-02-07T20:39:45.000Z

default_app_config = 'core.user.apps.UserConfig'

24.5

48

0.816327

7

49

5.428571

1

0

0.061224

49

1

49

0.826087

0

0.510204

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0

false

0

1

0

null

0

1

0

1

null

0

4

37f3238fd7c060c80e32b74b5c30f910ea55eaf9

228

py

Python

api/routes/errors/404.py

ZeroIntensity/RoboCollab

0ad60a0847d81fe6c5280f03e8bed57a087a2a1e

[ "MIT" ]

1

2022-03-21T13:10:14.000Z

api/routes/errors/404.py

ZeroIntensity/RoboCollab

0ad60a0847d81fe6c5280f03e8bed57a087a2a1e

[ "MIT" ]

null

api/routes/errors/404.py

ZeroIntensity/RoboCollab

0ad60a0847d81fe6c5280f03e8bed57a087a2a1e

[ "MIT" ]

null

from utils import response error = 404 def handler(request, exc): return response('Not Found', 404, bot_message = f'I wasn\'t able to figure out how to do that on the server! **Please report this to the developer!**')

38

155

0.70614

38

228

4.210526

0.868421

0

0.032787

0.197368

228

6

155

38

0.84153

0

0.071429

0

1

0.25

false

0

0.25

0.75

0

null

0

1

0

null

0

1

0

1

0

4

37f4bff41e1d7c4dc0fb3f430782e8fde08f0b4a

200

py

Python

Bot/src/Utils/designpattern.py

wogns3623/SMDB

bcacb678fb34c8bed6c70a20c564b2986c2a2884

[ "MIT" ]

null

Bot/src/Utils/designpattern.py

wogns3623/SMDB

bcacb678fb34c8bed6c70a20c564b2986c2a2884

[ "MIT" ]

null

Bot/src/Utils/designpattern.py

wogns3623/SMDB

bcacb678fb34c8bed6c70a20c564b2986c2a2884

[ "MIT" ]

null

class Singleton: _instance = None def __new__(cls): if not isinstance(cls._instance, cls): cls._instance = super(Singleton, cls).__new__(cls) return cls._instance

25

62

0.635

23

200

5

0.521739

0.286957

0

0.27

200

7

63

28.571429

0.787671

0

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0.166667

false

0

0.666667

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null

1

0

1

0

null

0

1

0

4

5312d96507c54d94815e74e6c35beea1d65a5fce

241

py

Python

backend/tests/test_routes.py

e-lipman/police-data-trust

3a7c743310125ce73f89f9340c4bb7eea2a7a08f

[ "MIT" ]

null

backend/tests/test_routes.py

e-lipman/police-data-trust

3a7c743310125ce73f89f9340c4bb7eea2a7a08f

[ "MIT" ]

null

backend/tests/test_routes.py

e-lipman/police-data-trust

3a7c743310125ce73f89f9340c4bb7eea2a7a08f

[ "MIT" ]

null

import pytest @pytest.mark.parametrize( ("page", "expected_status_code"), [ ("/incidents/", 200), ] ) def test_routes(client, page, expected_status_code): assert client.get(page).status_code == expected_status_code

20.083333

63

0.676349

28

241

5.535714

0.571429

0.258065

0.348387

0.283871

0

0.015228

0.182573

241

11

64

21.909091

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0

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0.111111

false

0

0.111111

0

0.222222

0

1

0

null

1

0

null

0

4

531386cf38099f65423a3fca679e89505c0accf9

1,418

py

Python

stations/migrations/0001_initial.py

MGCurtis/CrimeHeatmapPrototype

b9560d8f31742aeab09b4db502e942187475c0df

[ "MIT" ]

1

2020-10-04T19:22:28.000Z

stations/migrations/0001_initial.py

MGCurtis/CrimeHeatmapPrototype

b9560d8f31742aeab09b4db502e942187475c0df

[ "MIT" ]

9

2020-06-05T17:45:26.000Z

2022-03-11T23:17:45.000Z

stations/migrations/0001_initial.py

MGCurtis/CrimeHeatmapPrototype

b9560d8f31742aeab09b4db502e942187475c0df

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Generated by Django 1.11.6 on 2017-11-28 02:50 from __future__ import unicode_literals import django.contrib.gis.db.models.fields from django.db import migrations, models class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='GardaStations', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('fid', models.CharField(max_length=80)), ('name', models.CharField(max_length=80)), ('blank', models.CharField(max_length=80)), ('Sun', models.CharField(max_length=80)), ('Address', models.CharField(max_length=80)), ('Longitude', models.CharField(max_length=80)), ('Latitude', models.CharField(max_length=80)), ('County', models.CharField(max_length=80)), ('Phone', models.CharField(max_length=80)), ('StationID', models.CharField(max_length=80)), ('Station', models.CharField(max_length=80)), ('Mon_Fri', models.CharField(max_length=80)), ('Sat', models.CharField(max_length=80)), ('point', django.contrib.gis.db.models.fields.PointField(srid=4326)), ], ), ]

37.315789

114

0.576164

149

1,418

5.33557

0.42953

0.245283

0.29434

0.392453

0.500629

0.075472

0

0.045854

0.277151

1,418

37

115

38.324324

0.729756

0.047955

0

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false

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0.103448

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0.241379

0

null

1

0

1

0

null

0

4

531aff1f578d9146640a30b890fe41ae8162392b

131

py

Python

shotput/__main__.py

amussey/shotput

ab16f56390e16782bcc7c4a47e8e524190068dad

[ "CC-BY-3.0" ]

2

2021-02-09T16:50:42.000Z

2021-08-03T11:29:35.000Z

shotput/__main__.py

amussey/shotput

ab16f56390e16782bcc7c4a47e8e524190068dad

[ "CC-BY-3.0" ]

null

shotput/__main__.py

amussey/shotput

ab16f56390e16782bcc7c4a47e8e524190068dad

[ "CC-BY-3.0" ]

1

2022-03-30T12:05:14.000Z

from shotput import ShotputApp if __name__ == "__main__": ShotputApp("Shotput", icon='shotput.icns', quit_button=None).run()

21.833333

70

0.725191

16

131

5.375

0.8125

0

0.129771

131

5

71

26.2

0.754386

0

0.206107

0

1

0

true

0

0.333333

0

0.333333

0

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null

0

1

0

null

0

1

0

1

0

4

532b5c6b0d746beb90adf664659efb522ea54761

88

py

Python

bindings/pydrake/examples/multibody/__init__.py

RobotLocomotion/drake-python3.7

ae397a4c6985262d23e9675b9bf3927c08d027f5

[ "BSD-3-Clause" ]

2

2021-02-25T02:01:02.000Z

2021-03-17T04:52:04.000Z

bindings/pydrake/examples/multibody/__init__.py

RobotLocomotion/drake-python3.7

ae397a4c6985262d23e9675b9bf3927c08d027f5

[ "BSD-3-Clause" ]

null

bindings/pydrake/examples/multibody/__init__.py

RobotLocomotion/drake-python3.7

ae397a4c6985262d23e9675b9bf3927c08d027f5

[ "BSD-3-Clause" ]

1

2021-06-13T12:05:39.000Z

"""Provides multibody-specific Python examples and C++ example bindings for Python. """

22

75

0.761364

11

88

6.090909

0.909091

0

0.125

88

3

76

29.333333

0.87013

0.909091

0

null

0

null

0

null

0

null

1

null

true

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0

1

0

1

0

null

0

1

0

4

534e7a9ec1c00550d70f2f7a1384a23e498122de

95

py

Python

pokebattle/apps.py

raymundosaraiva/pokemon

fc1b1c054ce896c395b706958192a8f0723d1b0c

[ "MIT" ]

null

pokebattle/apps.py

raymundosaraiva/pokemon

fc1b1c054ce896c395b706958192a8f0723d1b0c

[ "MIT" ]

6

2020-06-06T00:49:56.000Z

2021-09-22T18:04:13.000Z

pokebattle/apps.py

raymundosaraiva/pokemon

fc1b1c054ce896c395b706958192a8f0723d1b0c

[ "MIT" ]

null

from django.apps import AppConfig class PokebattleConfig(AppConfig): name = 'pokebattle'

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null

0

1

0

1

0

4

535507a3edb48ba30cbc6abfb654570627a521e2

106

py

Python

HW4/submission/PART II/code/main_task22.py

ardaduz/math-cgv

bc89c0ce9beca9a9f02ca23bcf4a9116be187882

[ "MIT" ]

null

HW4/submission/PART II/code/main_task22.py

ardaduz/math-cgv

bc89c0ce9beca9a9f02ca23bcf4a9116be187882

[ "MIT" ]

null

HW4/submission/PART II/code/main_task22.py

ardaduz/math-cgv

bc89c0ce9beca9a9f02ca23bcf4a9116be187882

[ "MIT" ]

1

2021-02-14T10:41:17.000Z

from graph_cut_controller import GraphCutController if __name__ == '__main__': GraphCutController()

17.666667

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0.792453

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106

7.4

0.9

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5

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null

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null

0

1

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1

0

4

536090f930bae710df36e50abf918496efa7b263

490

py

Python

cloudselect/report/stub.py

ezh/cloudselect

035702ef5532b0be6fbe2afa030c5cd5eaef9ed4

[ "MIT" ]

4

2019-12-08T14:24:00.000Z

2020-11-17T08:47:30.000Z

cloudselect/report/stub.py

ezh/cloudselect

035702ef5532b0be6fbe2afa030c5cd5eaef9ed4

[ "MIT" ]

553

2019-12-08T14:24:03.000Z

2021-07-29T22:19:52.000Z

cloudselect/report/stub.py

ezh/cloudselect

035702ef5532b0be6fbe2afa030c5cd5eaef9ed4

[ "MIT" ]

1

2020-08-09T16:43:47.000Z

# Copyright 2019 Alexey Aksenov and individual contributors # See the LICENSE.txt file at the top-level directory of this distribution. # # Licensed under the MIT license # <LICENSE-MIT or http://opensource.org/licenses/MIT> # This file may not be copied, modified, or distributed # except according to those terms. """Report stub plugin.""" from . import ReportService class Stub(ReportService): # pylint: disable=too-few-public-methods """Class implementing report stub plugin."""

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1

0

4

5365fe230f2bbccc90ecc8c8fbf5cad53254018a

163

py

Python

4-python-modulos/aula01-if__name__==__main__/modulo.py

Leodf/projetos-python

64e6262e6535d92624ad50148634d881608a7523

[ "MIT" ]

null

4-python-modulos/aula01-if__name__==__main__/modulo.py

Leodf/projetos-python

64e6262e6535d92624ad50148634d881608a7523

[ "MIT" ]

null

4-python-modulos/aula01-if__name__==__main__/modulo.py

Leodf/projetos-python

64e6262e6535d92624ad50148634d881608a7523

[ "MIT" ]

null

def soma(x: float, y: float) -> float: return x + y def main() -> None: print(soma(10, 40)) print(soma(30, 30)) if __name__== '__main__': main()

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0

null

1

0

null

0

1

0

1

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4

72a1168426f8ed81e1859fabf14c240aaa2d598d

189

py

Python

2569.py

gabzin/beecrowd

177bdf3f87bacfd924bd031a973b8db877379fe5

[ "MIT" ]

3

2021-12-15T20:27:14.000Z

2022-03-01T12:30:08.000Z

2569.py

gabzin/uri

177bdf3f87bacfd924bd031a973b8db877379fe5

[ "MIT" ]

null

2569.py

gabzin/uri

177bdf3f87bacfd924bd031a973b8db877379fe5

[ "MIT" ]

null

s=input().split() n1=str(s[0].replace('7','0')) op=s[1] n2=str(s[2].replace('7','0')) res=str(int(n1)+int(n2)) if op=='+' else str(int(n1)*int(n2)) res=int(res.replace('7','0')) print(res)

23.625

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0

null

1

0

1

0

null

0

4

72b78e3edd3a80400f4d41418db0e563f5f07a6e

97

py

Python

src/consultorio/apps.py

mava-ar/sgk

cb8b3abf243b4614e6a45e4e2db5bb7cce94dee4

[ "Apache-2.0" ]

null

src/consultorio/apps.py

mava-ar/sgk

cb8b3abf243b4614e6a45e4e2db5bb7cce94dee4

[ "Apache-2.0" ]

32

2016-05-09T19:37:08.000Z

2022-01-13T01:00:52.000Z

src/consultorio/apps.py

mava-ar/sgk

cb8b3abf243b4614e6a45e4e2db5bb7cce94dee4

[ "Apache-2.0" ]

null

from django.apps import AppConfig class ConsultorioConfig(AppConfig): name = 'consultorio'

16.166667

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0.773196

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97

7.5

0.9

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97

5

36

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0

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null

0

1

0

null

0

1

0

1

0

4

72d596476b7cd23c26909654fe69369251b80af1

1,621

py

Python

tests/test_iot/test_iot_search.py

symroe/moto

4e106995af6f2820273528fca8a4e9ee288690a5

[ "Apache-2.0" ]

null

tests/test_iot/test_iot_search.py

symroe/moto

4e106995af6f2820273528fca8a4e9ee288690a5

[ "Apache-2.0" ]

1

2022-03-07T07:39:03.000Z

tests/test_iot/test_iot_search.py

symroe/moto

4e106995af6f2820273528fca8a4e9ee288690a5

[ "Apache-2.0" ]

null

import boto3 import pytest from moto import mock_iot @mock_iot @pytest.mark.parametrize( "query_string,results", [ ["abc", {"abc", "abcefg", "uuuabc"}], ["thingName:abc", {"abc"}], ["thingName:ab*", {"abc", "abd", "abcefg"}], ["thingName:ab?", {"abc", "abd"}], ["*", {"abc", "abd", "bbe", "abcefg", "uuuabc", "bbefg"}], ], ) def test_search_things(query_string, results): client = boto3.client("iot", region_name="ap-northeast-1") for name in ["abc", "abd", "bbe", "abcefg", "uuuabc", "bbefg"]: client.create_thing(thingName=name) resp = client.search_index(queryString=query_string) resp.should.have.key("thingGroups").equals([]) resp.should.have.key("things").length_of(len(results)) thing_names = [t["thingName"] for t in resp["things"]] set(thing_names).should.equal(results) @mock_iot @pytest.mark.parametrize( "query_string,results", [["attributes.attr0:abc", {"abc"}], ["attributes.attr1:abc", set()]], ) def test_search_attribute_specific_value(query_string, results): client = boto3.client("iot", region_name="ap-northeast-1") for idx, name in enumerate(["abc", "abd", "bbe", "abcefg", "uuuabc", "bbefg"]): client.create_thing( thingName=name, attributePayload={"attributes": {f"attr{idx}": name}} ) resp = client.search_index(queryString=query_string) resp.should.have.key("thingGroups").equals([]) resp.should.have.key("things").length_of(len(results)) thing_names = [t["thingName"] for t in resp["things"]] set(thing_names).should.equal(results)

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null

0

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null

0

4

72de6eb89dcd8e5acfff57d991e8a0bacf9ae8c8

25

py

Python

data/studio21_generated/introductory/3909/starter_code.py

vijaykumawat256/Prompt-Summarization

614f5911e2acd2933440d909de2b4f86653dc214

[ "Apache-2.0" ]

null

data/studio21_generated/introductory/3909/starter_code.py

vijaykumawat256/Prompt-Summarization

614f5911e2acd2933440d909de2b4f86653dc214

[ "Apache-2.0" ]

null

data/studio21_generated/introductory/3909/starter_code.py

vijaykumawat256/Prompt-Summarization

614f5911e2acd2933440d909de2b4f86653dc214

[ "Apache-2.0" ]

null

def is_keith_number(n):

12.5

23

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5

25

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1

0

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2

24

12.5

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1

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null

0

1

0

4

f40120c357d4b687523c37287625ede6bf223fd3

7,483

py

Python

skimage/feature/tests/test_match.py

GalAvineri/scikit-image

492c35c9eafac5d38bd1280d2f712f2caf8398c8

[ "BSD-3-Clause" ]

3

2019-02-28T16:05:36.000Z

2020-04-03T17:29:07.000Z

skimage/feature/tests/test_match.py

GalAvineri/scikit-image

492c35c9eafac5d38bd1280d2f712f2caf8398c8

[ "BSD-3-Clause" ]

26

2020-03-24T18:07:06.000Z

2022-03-12T00:12:27.000Z

site-packages/skimage/feature/tests/test_match.py

Wristlebane/Pyto

901ac307b68486d8289105c159ca702318bea5b0

[ "MIT" ]

3

2018-08-30T14:26:58.000Z

2020-11-08T01:39:07.000Z

import numpy as np from skimage._shared.testing import assert_equal from skimage import data from skimage import transform as tf from skimage.color import rgb2gray from skimage.feature import (BRIEF, match_descriptors, corner_peaks, corner_harris) from skimage._shared import testing def test_binary_descriptors_unequal_descriptor_sizes_error(): """Sizes of descriptors of keypoints to be matched should be equal.""" descs1 = np.array([[True, True, False, True], [False, True, False, True]]) descs2 = np.array([[True, False, False, True, False], [False, True, True, True, False]]) with testing.raises(ValueError): match_descriptors(descs1, descs2) def test_binary_descriptors(): descs1 = np.array([[True, True, False, True, True], [False, True, False, True, True]]) descs2 = np.array([[True, False, False, True, False], [False, False, True, True, True]]) matches = match_descriptors(descs1, descs2) assert_equal(matches, [[0, 0], [1, 1]]) def test_binary_descriptors_rotation_crosscheck_false(): """Verify matched keypoints and their corresponding masks results between image and its rotated version with the expected keypoint pairs with cross_check disabled.""" img = data.astronaut() img = rgb2gray(img) tform = tf.SimilarityTransform(scale=1, rotation=0.15, translation=(0, 0)) rotated_img = tf.warp(img, tform, clip=False) extractor = BRIEF(descriptor_size=512) keypoints1 = corner_peaks(corner_harris(img), min_distance=5, threshold_abs=0, threshold_rel=0.1) extractor.extract(img, keypoints1) descriptors1 = extractor.descriptors keypoints2 = corner_peaks(corner_harris(rotated_img), min_distance=5, threshold_abs=0, threshold_rel=0.1) extractor.extract(rotated_img, keypoints2) descriptors2 = extractor.descriptors matches = match_descriptors(descriptors1, descriptors2, cross_check=False) exp_matches1 = np.array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46]) exp_matches2 = np.array([ 0, 31, 2, 3, 1, 4, 6, 4, 38, 5, 27, 7, 13, 10, 9, 27, 7, 11, 15, 8, 23, 14, 12, 16, 10, 25, 18, 19, 21, 20, 41, 24, 25, 26, 28, 27, 22, 23, 29, 30, 31, 32, 35, 33, 34, 30, 36]) assert_equal(matches[:, 0], exp_matches1) assert_equal(matches[:, 1], exp_matches2) # minkowski takes a different code path, therefore we test it explicitly matches = match_descriptors(descriptors1, descriptors2, metric='minkowski', cross_check=False) assert_equal(matches[:, 0], exp_matches1) assert_equal(matches[:, 1], exp_matches2) # it also has an extra parameter matches = match_descriptors(descriptors1, descriptors2, metric='minkowski', p=4, cross_check=False) assert_equal(matches[:, 0], exp_matches1) assert_equal(matches[:, 1], exp_matches2) def test_binary_descriptors_rotation_crosscheck_true(): """Verify matched keypoints and their corresponding masks results between image and its rotated version with the expected keypoint pairs with cross_check enabled.""" img = data.astronaut() img = rgb2gray(img) tform = tf.SimilarityTransform(scale=1, rotation=0.15, translation=(0, 0)) rotated_img = tf.warp(img, tform, clip=False) extractor = BRIEF(descriptor_size=512) keypoints1 = corner_peaks(corner_harris(img), min_distance=5, threshold_abs=0, threshold_rel=0.1) extractor.extract(img, keypoints1) descriptors1 = extractor.descriptors keypoints2 = corner_peaks(corner_harris(rotated_img), min_distance=5, threshold_abs=0, threshold_rel=0.1) extractor.extract(rotated_img, keypoints2) descriptors2 = extractor.descriptors matches = match_descriptors(descriptors1, descriptors2, cross_check=True) exp_matches1 = np.array([ 0, 2, 3, 4, 5, 6, 9, 11, 12, 13, 14, 17, 18, 19, 21, 22, 23, 26, 27, 28, 29, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 46]) exp_matches2 = np.array([ 0, 2, 3, 1, 4, 6, 5, 7, 13, 10, 9, 11, 15, 8, 14, 12, 16, 18, 19, 21, 20, 24, 25, 26, 28, 27, 22, 23, 29, 30, 31, 32, 35, 33, 34, 36]) assert_equal(matches[:, 0], exp_matches1) assert_equal(matches[:, 1], exp_matches2) def test_max_distance(): descs1 = np.zeros((10, 128)) descs2 = np.zeros((15, 128)) descs1[0, :] = 1 matches = match_descriptors(descs1, descs2, metric='euclidean', max_distance=0.1, cross_check=False) assert len(matches) == 9 matches = match_descriptors(descs1, descs2, metric='euclidean', max_distance=np.sqrt(128.1), cross_check=False) assert len(matches) == 10 matches = match_descriptors(descs1, descs2, metric='euclidean', max_distance=0.1, cross_check=True) assert_equal(matches, [[1, 0]]) matches = match_descriptors(descs1, descs2, metric='euclidean', max_distance=np.sqrt(128.1), cross_check=True) assert_equal(matches, [[1, 0]]) def test_max_ratio(): descs1 = 10 * np.arange(10)[:, None].astype(np.float32) descs2 = 10 * np.arange(15)[:, None].astype(np.float32) descs2[0] = 5.0 matches = match_descriptors(descs1, descs2, metric='euclidean', max_ratio=1.0, cross_check=False) assert_equal(len(matches), 10) matches = match_descriptors(descs1, descs2, metric='euclidean', max_ratio=0.6, cross_check=False) assert_equal(len(matches), 10) matches = match_descriptors(descs1, descs2, metric='euclidean', max_ratio=0.5, cross_check=False) assert_equal(len(matches), 9) descs1[0] = 7.5 matches = match_descriptors(descs1, descs2, metric='euclidean', max_ratio=0.5, cross_check=False) assert_equal(len(matches), 9) descs2 = 10 * np.arange(1)[:, None].astype(np.float32) matches = match_descriptors(descs1, descs2, metric='euclidean', max_ratio=1.0, cross_check=False) assert_equal(len(matches), 10) matches = match_descriptors(descs1, descs2, metric='euclidean', max_ratio=0.5, cross_check=False) assert_equal(len(matches), 10) descs1 = 10 * np.arange(1)[:, None].astype(np.float32) matches = match_descriptors(descs1, descs2, metric='euclidean', max_ratio=1.0, cross_check=False) assert_equal(len(matches), 1) matches = match_descriptors(descs1, descs2, metric='euclidean', max_ratio=0.5, cross_check=False) assert_equal(len(matches), 1)

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f40d2fa52b6dbe30c6d912314fe9ccb46fff445b

175

py

Python

18/Blog/ll_env/bin/django-admin.py

liqiwa/python_work

3d1198d5616b28a37fee7dfba5bbef0e1d489c2d

[ "Apache-2.0" ]

null

18/Blog/ll_env/bin/django-admin.py

liqiwa/python_work

3d1198d5616b28a37fee7dfba5bbef0e1d489c2d

[ "Apache-2.0" ]

null

18/Blog/ll_env/bin/django-admin.py

liqiwa/python_work

3d1198d5616b28a37fee7dfba5bbef0e1d489c2d

[ "Apache-2.0" ]

null

#!/Users/wanglinlin/Downloads/python_work/18/Blog/ll_env/bin/python3 from django.core import management if __name__ == "__main__": management.execute_from_command_line()

29.166667

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f463fda30a17c2219d624bce2f5202298e1cabfb

305

py

Python

flask/ecom (web app)/app/main/errors.py

AgbaD/apis

e88ecd11820651c8fa5d670ed21ca55ebd8877c2

[ "MIT" ]

null

flask/ecom (web app)/app/main/errors.py

AgbaD/apis

e88ecd11820651c8fa5d670ed21ca55ebd8877c2

[ "MIT" ]

null

flask/ecom (web app)/app/main/errors.py

AgbaD/apis

e88ecd11820651c8fa5d670ed21ca55ebd8877c2

[ "MIT" ]

null

#!/usr/bin/python3 # Author: @AgbaD | @Agba_dr3 from flask import render_template from . import main @main.app_errorhandler(404) def page_not_found(e): return render_template('404.html'), 404 @main.app_errorhandler(500) def internal_server_error(e): return render_template('500.html'), 500

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py

Python

wazimap_ng/boundaries/migrations/0022_auto_20200214_0946.py

arghyaiitb/wazimap-ng

2a77860526d865b8fd0c22a2204f121fdb3b28a0

[ "Apache-2.0" ]

11

2019-12-31T20:27:22.000Z

2022-03-10T03:55:38.000Z

wazimap_ng/boundaries/migrations/0022_auto_20200214_0946.py

arghyaiitb/wazimap-ng

2a77860526d865b8fd0c22a2204f121fdb3b28a0

[ "Apache-2.0" ]

164

2020-02-06T15:02:22.000Z

2022-03-30T22:42:00.000Z

wazimap_ng/boundaries/migrations/0022_auto_20200214_0946.py

arghyaiitb/wazimap-ng

2a77860526d865b8fd0c22a2204f121fdb3b28a0

[ "Apache-2.0" ]

16

2020-01-03T20:30:24.000Z

2022-01-11T11:05:15.000Z

# Generated by Django 2.2.8 on 2020-02-14 09:46 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('boundaries', '0021_auto_20200214_0730'), ] operations = [ migrations.RemoveField( model_name='district', name='geography', ), migrations.RemoveField( model_name='mainplace', name='geography', ), migrations.RemoveField( model_name='municipality', name='geography', ), migrations.RemoveField( model_name='province', name='geography', ), migrations.RemoveField( model_name='subplace', name='geography', ), migrations.RemoveField( model_name='ward', name='geography', ), migrations.DeleteModel( name='Country', ), migrations.DeleteModel( name='District', ), migrations.DeleteModel( name='Mainplace', ), migrations.DeleteModel( name='Municipality', ), migrations.DeleteModel( name='Province', ), migrations.DeleteModel( name='Subplace', ), migrations.DeleteModel( name='Ward', ), ]

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Python

tests/loss.py

shs037/objax

61cbd810dc0e57be4ba4216cb63ac536c7cac694

[ "Apache-2.0" ]

null

tests/loss.py

shs037/objax

61cbd810dc0e57be4ba4216cb63ac536c7cac694

[ "Apache-2.0" ]

null

tests/loss.py

shs037/objax

61cbd810dc0e57be4ba4216cb63ac536c7cac694

[ "Apache-2.0" ]

null

# Copyright 2020 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """Unittests for functional.loss.""" import unittest import jax.numpy as jn import objax ERROR_TOLERANCE = 2e-6 class TestLoss(unittest.TestCase): def test_on_mae(self): """Test mean absolute error on x and y.""" x = jn.array([[0.76, 0.38, 0.51, 0.59], [0.89, 0.76, 0.17, 0.19], [0.14, 0.29, 0.49, 0.55]]) y = jn.array([[1, 0, 4, 3], [4, 0, 4, 3], [0, 0, 0, 2]], dtype=jn.uint32) e = objax.functional.loss.mean_absolute_error(x, y, None) gold = jn.array(1.6166668) self.assertAlmostEqual(jn.abs(e - gold).sum(), 0, delta=ERROR_TOLERANCE) e = objax.functional.loss.mean_absolute_error(x, y) gold = jn.array([1.6300001, 2.6275, 0.59250003]) self.assertAlmostEqual(jn.abs(e - gold).sum(), 0, delta=ERROR_TOLERANCE) e = objax.functional.loss.mean_absolute_error(x, y, (1,)) gold = jn.array([1.1633334, 0.47666666, 2.6033332, 2.2233334]) self.assertAlmostEqual(jn.abs(e - gold).sum(), 0, delta=ERROR_TOLERANCE) def test_on_mse(self): """Test mean squared error on x and y with keep_axis.""" x = jn.array([[0.76, 0.38, 0.51, 0.59], [0.89, 0.76, 0.17, 0.19], [0.14, 0.29, 0.49, 0.55]]) y = jn.array([[1, 0, 4, 3], [4, 0, 4, 3], [0, 0, 0, 2]], dtype=jn.uint32) e = objax.functional.loss.mean_squared_error(x, y, None) gold = jn.array(4.454267) self.assertAlmostEqual(jn.abs(e - gold).sum(), 0, delta=ERROR_TOLERANCE) e = objax.functional.loss.mean_squared_error(x, y) gold = jn.array([4.54755, 8.203675, 0.61157507]) self.assertAlmostEqual(jn.abs(e - gold).sum(), 0, delta=ERROR_TOLERANCE) e = objax.functional.loss.mean_squared_error(x, y, (1,)) gold = jn.array([3.249767, 0.2687, 9.0297, 5.2689]) self.assertAlmostEqual(jn.abs(e - gold).sum(), 0, delta=ERROR_TOLERANCE) def test_on_mean_squared_log_error(self): """Test mean squared error on x and y.""" x = jn.array([3, 5, 2, 7], dtype=jn.float32) y = jn.array([2, 5, 4, 8], dtype=jn.float32) output = objax.functional.loss.mean_squared_log_error(x, y) expected = jn.array([0.08276097, 0., 0.26094282, 0.013872852], dtype=jn.float32) self.assertAlmostEqual(jn.abs(output - expected).sum(), 0, delta=ERROR_TOLERANCE) # Test mean squared error on x and y with keep_axis x = jn.array([[3, 5, 2.5, 7]], dtype=jn.float32) y = jn.array([[2.5, 5, 4, 8]], dtype=jn.float32) output = objax.functional.loss.mean_squared_log_error(x, y, keep_axis=(0,)) expected = jn.array([0.039730143], dtype=jn.float32) self.assertAlmostEqual(jn.abs(output - expected).sum(), 0, delta=ERROR_TOLERANCE) # Test mean squared error on x and y with no `keep_axis` x = jn.array([[0.1152, 0.6301, 0.6845], [0.0958, 0.2180, 0.8503]], dtype=jn.float32) y = jn.array([[0.0026, 0.9501, 0.1955], [0.3537, 0.1689, 0.7774]], dtype=jn.float32) output = objax.functional.loss.mean_squared_log_error(x, y, keep_axis=()) expected = jn.array(0.03483658, dtype=jn.float32) self.assertAlmostEqual(jn.abs(output - expected).sum(), 0, delta=ERROR_TOLERANCE) def test_on_xe_logits_2d(self): """Test cross-entropy on logits.""" x = jn.array([[0.58, 0.4, 0.02], [0.36, 0.27, 0.37], [0.46, 0.24, 0.3], [0.35, 0.29, 0.36]]) e = objax.functional.loss.cross_entropy_logits(10 * x, x) gold = jn.array([0.9881458, 1.126976, 1.2800856, 1.1140614]) self.assertAlmostEqual(jn.abs(e - gold).sum(), 0, delta=ERROR_TOLERANCE) def test_on_xe_logits_2d_broadcast(self): """Test cross-entropy on logits, broadcasted labels.""" x = jn.array([[0.58, 0.4, 0.02], [0.36, 0.27, 0.37], [0.46, 0.24, 0.3], [0.35, 0.29, 0.36]]) e = objax.functional.loss.cross_entropy_logits(10 * x, x[:1]) gold = jn.array([0.9881458, 1.278976, 1.1840856, 1.2140613]) self.assertAlmostEqual(jn.abs(e - gold).sum(), 0, delta=ERROR_TOLERANCE) def test_on_xe_logits_5d(self): """Test cross-entropy on logits in 5d.""" x = jn.array([[0.58, 0.4, 0.02], [0.36, 0.27, 0.37], [0.46, 0.24, 0.3], [0.35, 0.29, 0.36]]) x = x.reshape((2, 1, 1, 2, 3)) e = objax.functional.loss.cross_entropy_logits(10 * x, x) gold = jn.array([0.9881458, 1.126976, 1.2800856, 1.1140614]).reshape((2, 1, 1, 2)) self.assertAlmostEqual(jn.abs(e - gold).sum(), 0, delta=ERROR_TOLERANCE) def test_on_xe_logits_5d_broadcast(self): """Test cross-entropy on logits in 5d, broadcasted labels.""" x = jn.array([[0.58, 0.4, 0.02], [0.36, 0.27, 0.37], [0.46, 0.24, 0.3], [0.35, 0.29, 0.36]]) x = x.reshape((2, 1, 1, 2, 3)) e = objax.functional.loss.cross_entropy_logits(10 * x, x[:1]) gold = jn.array([[[[0.9881458, 1.126976]]], [[[1.1840856, 1.1010613]]]]) self.assertAlmostEqual(jn.abs(e - gold).sum(), 0, delta=ERROR_TOLERANCE) e = objax.functional.loss.cross_entropy_logits(10 * x, x[:, :, :, :1]) gold = jn.array([[[[0.9881458, 1.278976]]], [[[1.2800856, 1.0900612]]]]) self.assertAlmostEqual(jn.abs(e - gold).sum(), 0, delta=ERROR_TOLERANCE) def test_on_xe_logits_sparse_2d(self): """Test cross-entropy on logits with sparse labels in 2d.""" x = jn.array([[0.58, 0.4, 0.02], [0.36, 0.27, 0.37], [0.46, 0.24, 0.3], [0.35, 0.29, 0.36]]) y = jn.array([0, 1, 2, 1], dtype=jn.uint32) e = objax.functional.loss.cross_entropy_logits_sparse(10 * x, y) gold = jn.array([0.15614605, 1.820976, 1.8720856, 1.5760615]) self.assertAlmostEqual(jn.abs(e - gold).sum(), 0, delta=ERROR_TOLERANCE) def test_on_xe_logits_sparse_5d(self): """Test cross-entropy on logits with sparse labels in 5d.""" x = jn.array([[0.58, 0.4, 0.02], [0.36, 0.27, 0.37], [0.46, 0.24, 0.3], [0.35, 0.29, 0.36]]) x = x.reshape((2, 1, 1, 2, 3)) y = jn.array([0, 1, 2, 1], dtype=jn.uint32) y = y.reshape((2, 1, 1, 2)) e = objax.functional.loss.cross_entropy_logits_sparse(10 * x, y) gold = jn.array([[[[0.15614605, 1.820976]]], [[[1.8720856, 1.5760615]]]]) self.assertAlmostEqual(jn.abs(e - gold).sum(), 0, delta=ERROR_TOLERANCE) def test_on_xe_logits_sparse_integer_label(self): """Test cross-entropy on logits with sparse integer label.""" x = jn.array([[0.58, 0.4, 0.02], [0.36, 0.27, 0.37], [0.46, 0.24, 0.3], [0.35, 0.29, 0.36]]) y = 2 e = objax.functional.loss.cross_entropy_logits_sparse(10 * x, y) gold = jn.array([5.756146, 0.820976, 1.8720856, 0.8760612]) self.assertAlmostEqual(jn.abs(e - gold).sum(), 0, delta=ERROR_TOLERANCE) if __name__ == '__main__': unittest.main()

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be3e93c6ac47bca0ae0c21de15b94f6e2d3e1367

104

py

Python

python/testData/inspections/PyNoneFunctionAssignmentInspection/OsPopenClose/os.py

jnthn/intellij-community

8fa7c8a3ace62400c838e0d5926a7be106aa8557

[ "Apache-2.0" ]

2

2018-12-29T09:53:39.000Z

2018-12-29T09:53:42.000Z

python/testData/inspections/PyNoneFunctionAssignmentInspection/OsPopenClose/os.py

jnthn/intellij-community

8fa7c8a3ace62400c838e0d5926a7be106aa8557

[ "Apache-2.0" ]

173

2018-07-05T13:59:39.000Z

2018-08-09T01:12:03.000Z

python/testData/inspections/PyNoneFunctionAssignmentInspection/OsPopenClose/os.py

jnthn/intellij-community

8fa7c8a3ace62400c838e0d5926a7be106aa8557

[ "Apache-2.0" ]

1

2018-10-03T12:35:06.000Z

def popen(command, mode='r', bufsize=-1): pass class _wrap_close: def close(self): pass

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be4b0385ed40fa3ddd09724b41274ceaed9a09b0

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py

Python

tests/layers/detection/post_processing/test_postprocessing_detr.py

LSanselme/kerod

cb52775ed501cbe4bd5fc0f22ec0359ca1d5f902

[ "MIT" ]

35

2020-06-14T11:20:54.000Z

2022-03-02T14:42:25.000Z

tests/layers/detection/post_processing/test_postprocessing_detr.py

LSanselme/kerod

cb52775ed501cbe4bd5fc0f22ec0359ca1d5f902

[ "MIT" ]

9

2021-02-03T15:01:39.000Z

2022-03-16T01:46:38.000Z

tests/layers/detection/post_processing/test_postprocessing_detr.py

LSanselme/kerod

cb52775ed501cbe4bd5fc0f22ec0359ca1d5f902

[ "MIT" ]

11

2021-02-02T09:41:16.000Z

2022-03-01T15:43:31.000Z

import numpy as np import tensorflow as tf from kerod.core.box_ops import convert_to_center_coordinates from kerod.layers.post_processing.post_processing_detr import post_processing def test_post_processing_batch_size2(): logits = tf.constant([[[-100., 0, 100], [-100., 1000, -100]], [[4., 0, 3], [-100., 1000, -100]]]) probs = tf.nn.softmax(logits, axis=-1) boxes = tf.constant([ [[0, 0, 1, 1], [0, 0, 0.5, 0.5]], [[0, 0, 0.3, 0.3], [0, 0, 0.5, 0.5]], ]) boxes = convert_to_center_coordinates(boxes) image_information = tf.constant([[200, 400], [400, 200]]) image_padded_information = tf.constant([400, 400]) boxes, scores, labels = post_processing(boxes, logits, image_information, image_padded_information) expected_labels = np.array([[1, 0], [0, 1]]) expected_scores = np.array([ [probs[0, 0, 2], probs[0, 1, 1]], [probs[1, 1, 1], probs[1, 0, 2]], ]) expected_boxes = np.array([ [[0, 0, 1, 1], [0, 0, 1., 0.5]], [[0, 0, 0.5, 1.], [0, 0, 0.3, 0.6]], ]) np.testing.assert_array_equal(expected_labels, labels.numpy()) np.testing.assert_almost_equal(expected_boxes, boxes.numpy()) np.testing.assert_array_equal(expected_scores, scores.numpy()) def test_post_processing_singled_element(): logits = tf.constant([[[4., 0, 3], [-100., 1000, -100]]]) probs = tf.nn.softmax(logits, axis=-1) boxes = tf.constant([[[0, 0, 0.3, 0.3], [0, 0, 0.5, 0.5]]]) boxes = convert_to_center_coordinates(boxes) image_information = tf.constant([[400, 200]]) image_padded_information = tf.constant([400, 400]) boxes, scores, labels = post_processing(boxes, logits, image_information, image_padded_information) expected_labels = np.array([[0, 1]]) expected_scores = np.array([[probs[0, 1, 1], probs[0, 0, 2]]]) expected_boxes = np.array([[[0, 0, 0.5, 1.], [0, 0, 0.3, 0.6]]]) np.testing.assert_array_equal(expected_labels, labels.numpy()) np.testing.assert_almost_equal(expected_boxes, boxes.numpy()) np.testing.assert_array_equal(expected_scores, scores.numpy())

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be9628ffa1129dabc3640fab018befe4eec88649

118

py

Python

test2.py

jacurtin1/Network-Automation

e7e0a902db88b52812f7c7b7fe00c1018567136d

[ "Apache-2.0" ]

null

test2.py

jacurtin1/Network-Automation

e7e0a902db88b52812f7c7b7fe00c1018567136d

[ "Apache-2.0" ]

null

test2.py

jacurtin1/Network-Automation

e7e0a902db88b52812f7c7b7fe00c1018567136d

[ "Apache-2.0" ]

null

import string import secrets alphabet = string.ascii_letters + string.digits + string.punctuation print(alphabet)

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