xszheng2020/the_stack_dedup_python_hits_6 · Datasets at Hugging Face

d515bd7cdbb78dc5bf33dbd7026357b29d36f6cc

12,932

py

Python

openstackclient/tests/identity/v2_0/test_role.py

larsks/python-openstackclient

9062811d10f2ab660ce38f9bd20be9c52daa9479

[ "Apache-2.0" ]

null

openstackclient/tests/identity/v2_0/test_role.py

larsks/python-openstackclient

9062811d10f2ab660ce38f9bd20be9c52daa9479

[ "Apache-2.0" ]

null

openstackclient/tests/identity/v2_0/test_role.py

larsks/python-openstackclient

9062811d10f2ab660ce38f9bd20be9c52daa9479

[ "Apache-2.0" ]

null

# Copyright 2013 Nebula 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. # import copy import mock from openstackclient.common import exceptions from openstackclient.identity.v2_0 import role from openstackclient.tests import fakes from openstackclient.tests.identity.v2_0 import fakes as identity_fakes class TestRole(identity_fakes.TestIdentityv2): def setUp(self): super(TestRole, self).setUp() # Get a shortcut to the TenantManager Mock self.projects_mock = self.app.client_manager.identity.tenants self.projects_mock.reset_mock() # Get a shortcut to the UserManager Mock self.users_mock = self.app.client_manager.identity.users self.users_mock.reset_mock() # Get a shortcut to the RoleManager Mock self.roles_mock = self.app.client_manager.identity.roles self.roles_mock.reset_mock() class TestRoleAdd(TestRole): def setUp(self): super(TestRoleAdd, self).setUp() self.projects_mock.get.return_value = fakes.FakeResource( None, copy.deepcopy(identity_fakes.PROJECT), loaded=True, ) self.users_mock.get.return_value = fakes.FakeResource( None, copy.deepcopy(identity_fakes.USER), loaded=True, ) self.roles_mock.get.return_value = fakes.FakeResource( None, copy.deepcopy(identity_fakes.ROLE), loaded=True, ) self.roles_mock.add_user_role.return_value = fakes.FakeResource( None, copy.deepcopy(identity_fakes.ROLE), loaded=True, ) # Get the command object to test self.cmd = role.AddRole(self.app, None) def test_role_add(self): arglist = [ '--project', identity_fakes.project_name, '--user', identity_fakes.user_name, identity_fakes.role_name, ] verifylist = [ ('project', identity_fakes.project_name), ('user', identity_fakes.user_name), ('role', identity_fakes.role_name), ] parsed_args = self.check_parser(self.cmd, arglist, verifylist) # DisplayCommandBase.take_action() returns two tuples columns, data = self.cmd.take_action(parsed_args) # RoleManager.add_user_role(user, role, tenant=None) self.roles_mock.add_user_role.assert_called_with( identity_fakes.user_id, identity_fakes.role_id, identity_fakes.project_id, ) collist = ('id', 'name') self.assertEqual(columns, collist) datalist = ( identity_fakes.role_id, identity_fakes.role_name, ) self.assertEqual(data, datalist) class TestRoleCreate(TestRole): def setUp(self): super(TestRoleCreate, self).setUp() self.roles_mock.create.return_value = fakes.FakeResource( None, copy.deepcopy(identity_fakes.ROLE), loaded=True, ) # Get the command object to test self.cmd = role.CreateRole(self.app, None) def test_role_create_no_options(self): arglist = [ identity_fakes.role_name, ] verifylist = [ ('role_name', identity_fakes.role_name), ] parsed_args = self.check_parser(self.cmd, arglist, verifylist) # DisplayCommandBase.take_action() returns two tuples columns, data = self.cmd.take_action(parsed_args) # RoleManager.create(name) self.roles_mock.create.assert_called_with( identity_fakes.role_name, ) collist = ('id', 'name') self.assertEqual(columns, collist) datalist = ( identity_fakes.role_id, identity_fakes.role_name, ) self.assertEqual(data, datalist) class TestRoleDelete(TestRole): def setUp(self): super(TestRoleDelete, self).setUp() self.roles_mock.get.return_value = fakes.FakeResource( None, copy.deepcopy(identity_fakes.ROLE), loaded=True, ) self.roles_mock.delete.return_value = None # Get the command object to test self.cmd = role.DeleteRole(self.app, None) def test_role_delete_no_options(self): arglist = [ identity_fakes.role_name, ] verifylist = [ ('role', identity_fakes.role_name), ] parsed_args = self.check_parser(self.cmd, arglist, verifylist) # DisplayCommandBase.take_action() returns two tuples self.cmd.take_action(parsed_args) self.roles_mock.delete.assert_called_with( identity_fakes.role_id, ) class TestRoleList(TestRole): def setUp(self): super(TestRoleList, self).setUp() self.roles_mock.list.return_value = [ fakes.FakeResource( None, copy.deepcopy(identity_fakes.ROLE), loaded=True, ), ] # Get the command object to test self.cmd = role.ListRole(self.app, None) def test_role_list_no_options(self): arglist = [] verifylist = [] parsed_args = self.check_parser(self.cmd, arglist, verifylist) # DisplayCommandBase.take_action() returns two tuples columns, data = self.cmd.take_action(parsed_args) self.roles_mock.list.assert_called_with() collist = ('ID', 'Name') self.assertEqual(columns, collist) datalist = (( identity_fakes.role_id, identity_fakes.role_name, ), ) self.assertEqual(tuple(data), datalist) class TestUserRoleList(TestRole): def setUp(self): super(TestUserRoleList, self).setUp() self.projects_mock.get.return_value = fakes.FakeResource( None, copy.deepcopy(identity_fakes.PROJECT), loaded=True, ) self.users_mock.get.return_value = fakes.FakeResource( None, copy.deepcopy(identity_fakes.USER), loaded=True, ) self.roles_mock.roles_for_user.return_value = [ fakes.FakeResource( None, copy.deepcopy(identity_fakes.ROLE), loaded=True, ), ] # Get the command object to test self.cmd = role.ListUserRole(self.app, None) def test_user_role_list_no_options(self): arglist = [] verifylist = [] parsed_args = self.check_parser(self.cmd, arglist, verifylist) # This argument combination should raise a CommandError self.assertRaises( exceptions.CommandError, self.cmd.take_action, parsed_args, ) def test_user_role_list_no_options_def_creds(self): auth_ref = self.app.client_manager.auth_ref = mock.MagicMock() auth_ref.project_id.return_value = identity_fakes.project_id auth_ref.user_id.return_value = identity_fakes.user_id arglist = [] verifylist = [] parsed_args = self.check_parser(self.cmd, arglist, verifylist) # DisplayCommandBase.take_action() returns two tuples columns, data = self.cmd.take_action(parsed_args) self.roles_mock.roles_for_user.assert_called_with( identity_fakes.user_id, identity_fakes.project_id, ) collist = ('ID', 'Name', 'Project', 'User') self.assertEqual(columns, collist) datalist = (( identity_fakes.role_id, identity_fakes.role_name, identity_fakes.project_name, identity_fakes.user_name, ), ) self.assertEqual(tuple(data), datalist) def test_user_role_list_project(self): self.projects_mock.get.return_value = fakes.FakeResource( None, copy.deepcopy(identity_fakes.PROJECT_2), loaded=True, ) arglist = [ '--project', identity_fakes.PROJECT_2['name'], ] verifylist = [ ('project', identity_fakes.PROJECT_2['name']), ] parsed_args = self.check_parser(self.cmd, arglist, verifylist) # This argument combination should raise a CommandError self.assertRaises( exceptions.CommandError, self.cmd.take_action, parsed_args, ) def test_user_role_list_project_def_creds(self): auth_ref = self.app.client_manager.auth_ref = mock.MagicMock() auth_ref.project_id.return_value = identity_fakes.project_id auth_ref.user_id.return_value = identity_fakes.user_id self.projects_mock.get.return_value = fakes.FakeResource( None, copy.deepcopy(identity_fakes.PROJECT_2), loaded=True, ) arglist = [ '--project', identity_fakes.PROJECT_2['name'], ] verifylist = [ ('project', identity_fakes.PROJECT_2['name']), ] parsed_args = self.check_parser(self.cmd, arglist, verifylist) # DisplayCommandBase.take_action() returns two tuples columns, data = self.cmd.take_action(parsed_args) self.roles_mock.roles_for_user.assert_called_with( identity_fakes.user_id, identity_fakes.PROJECT_2['id'], ) collist = ('ID', 'Name', 'Project', 'User') self.assertEqual(columns, collist) datalist = (( identity_fakes.role_id, identity_fakes.role_name, identity_fakes.PROJECT_2['name'], identity_fakes.user_name, ), ) self.assertEqual(tuple(data), datalist) class TestRoleRemove(TestRole): def setUp(self): super(TestRoleRemove, self).setUp() self.projects_mock.get.return_value = fakes.FakeResource( None, copy.deepcopy(identity_fakes.PROJECT), loaded=True, ) self.users_mock.get.return_value = fakes.FakeResource( None, copy.deepcopy(identity_fakes.USER), loaded=True, ) self.roles_mock.get.return_value = fakes.FakeResource( None, copy.deepcopy(identity_fakes.ROLE), loaded=True, ) self.roles_mock.remove_user_role.return_value = None # Get the command object to test self.cmd = role.RemoveRole(self.app, None) def test_role_remove(self): arglist = [ '--project', identity_fakes.project_name, '--user', identity_fakes.user_name, identity_fakes.role_name, ] verifylist = [ ('role', identity_fakes.role_name), ('project', identity_fakes.project_name), ('user', identity_fakes.user_name), ] parsed_args = self.check_parser(self.cmd, arglist, verifylist) # DisplayCommandBase.take_action() returns two tuples self.cmd.take_action(parsed_args) # RoleManager.remove_user_role(user, role, tenant=None) self.roles_mock.remove_user_role.assert_called_with( identity_fakes.user_id, identity_fakes.role_id, identity_fakes.project_id, ) class TestRoleShow(TestRole): def setUp(self): super(TestRoleShow, self).setUp() self.roles_mock.get.return_value = fakes.FakeResource( None, copy.deepcopy(identity_fakes.ROLE), loaded=True, ) # Get the command object to test self.cmd = role.ShowRole(self.app, None) def test_service_show(self): arglist = [ identity_fakes.role_name, ] verifylist = [ ('role', identity_fakes.role_name), ] parsed_args = self.check_parser(self.cmd, arglist, verifylist) # DisplayCommandBase.take_action() returns two tuples columns, data = self.cmd.take_action(parsed_args) # RoleManager.get(role) self.roles_mock.get.assert_called_with( identity_fakes.role_name, ) collist = ('id', 'name') self.assertEqual(columns, collist) datalist = ( identity_fakes.role_id, identity_fakes.role_name, ) self.assertEqual(data, datalist)

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0.115521

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0.078496

0.049868

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0.749868

0.741953

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0

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12,932

426

78

30.356808

0.830933

0.1221

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1

0.059406

false

0

0.019802

0

0.105611

0

null

0

1

0

null

0

6

1d142731b6388edb2a0b90ba5ff25bfcb57cb817

9,448

py

Python

lib/regression_and_p_chart.py

richardgorham1/ds-prep-capstone

69f87cb3312d160ea577b191b659c056414e837b

[ "MIT" ]

null

lib/regression_and_p_chart.py

richardgorham1/ds-prep-capstone

69f87cb3312d160ea577b191b659c056414e837b

[ "MIT" ]

null

lib/regression_and_p_chart.py

richardgorham1/ds-prep-capstone

69f87cb3312d160ea577b191b659c056414e837b

[ "MIT" ]

null

import math import pandas as pd import numpy as np import matplotlib.pyplot as plt import scipy.stats as stats from scipy.stats import t from scipy.stats import norm import lib.p_chart as pc import lib.least_squares as ls def regression_and_p_chart(x, y_0, y_1, y_2, suptitle = None, subtitle_0 = None, subtitle_1 = None, subtitle_2 = None, subtitle_3 = None, subtitle_4 = None, subtitle_5 = None, xlabels_r = None, xlabels_p = None, ylabels_r = None, ylabels_p = None, xmin = None, xmax = None, xticks = None): p_0 = y_0 / (y_0 + y_1 + y_2) p_1 = y_1 / (y_0 + y_1 + y_2) p_2 = y_2 / (y_0 + y_1 + y_2) #Plot charts plt.figure(figsize = (15, 12)) plt.subplots_adjust(hspace = 0.5) if isinstance(suptitle, str): plt.suptitle('Regression and p Charts' '\nfor Suceptibility / Resistance\n' + suptitle) else: plt.suptitle('Regression and p Charts' '\nfor Suceptibility / Resistance\n') plt.subplot(321) #Underscore and the start of label text will surpress the label on the plot plt.scatter(x, y_0, label = '_x') plt.plot(x, ls.least_squares(x, y_0).get('upi'), 'r--', label = '_x') plt.plot(x, ls.least_squares(x, y_0).get('l'), 'b--', label = '_x') plt.plot(x, ls.least_squares(x, y_0).get('lpi'), 'r--', label = '_x') plt.fill_between(x, ls.least_squares(x, y_0).get('uci')['Data Year'],\ ls.least_squares(x, y_0).get('lci')['Data Year'],\ alpha = 0.25, color = '#99caff') plt.grid() if xmin and xmax != None: plt.xlim(xmin, xmax) else: None if xticks != None: plt.xticks(xticks) else: None if isinstance(subtitle_0, str): plt.title(subtitle_0, y = 1.125) else: plt.title('Observations', y = 1.125) if isinstance(ylabels_r, str): plt.ylabel(ylabels_r) else: plt.ylabel('Obs.') if isinstance(xlabels_r, str): plt.xlabel(xlabels_r) else: plt.xlabel('Index') #The emplty plots below are used to hold custom labels for the legend plt.plot([], [], ' ', label = 'Slope: ' \ + ls.least_squares(x, y_0).get('m').astype(str)) plt.plot([], [], ' ', label='R-sq: ' \ + ls.least_squares(x, y_0).get('r_sq').astype(str)) if ls.least_squares(x, y_0).get('p') < 0.0001: p_value = 'p value: <0.0001' else: p_value = 'p value: ' + ls.least_squares(x, y_0).get('p').astype(str) plt.plot([], [], ' ', label = p_value) plt.legend(bbox_to_anchor = (0, 1.05, 1, 0.2), \ loc = 2, ncol = 3, mode = "expand", borderaxespad = 2) plt.subplot(322) plt.plot(x, p_0,'bo--', label = '_x') plt.step(x, pc.p_chart(y_0, p_0).get('ucl'), 'r--', \ label = 'Control Limits', where = 'mid') plt.plot(x, pc.p_chart(y_0, p_0).get('cl'), 'g--', label = 'Center Line') plt.step(x, pc.p_chart(y_0, p_0).get('lcl'), \ 'r--', label = '_x', where = 'mid') plt.grid() if xmin and xmax != None: plt.xlim(xmin, xmax) else: None if xticks != None: plt.xticks(xticks) else: None if isinstance(subtitle_1, str): plt.title(subtitle_1, y = 1.125) else: plt.title('Proportions', y = 1.125) if isinstance(ylabels_p, str): plt.ylabel(ylabels_p) else: plt.ylabel('proportion') if isinstance(xlabels_p, str): plt.xlabel(xlabels_p) else: plt.xlabel('Index') plt.plot([], [], ' ', label = 'Mean: ' \ + pc.p_chart(y_0,p_0).get('p_bar').astype(str)) plt.legend(bbox_to_anchor = (0, 1.05, 1, 0.2), \ loc = 2, ncol = 3, mode = "expand", borderaxespad = 2) plt.subplot(323) plt.scatter(x, y_1, label = '_x') plt.plot(x, ls.least_squares(x, y_1).get('upi'), 'r--', label = '_x') plt.plot(x, ls.least_squares(x, y_1).get('l'), 'b--', label = '_x') plt.plot(x, ls.least_squares(x, y_1).get('lpi'), 'r--', label = '_x') plt.fill_between(x, ls.least_squares(x, y_1).get('uci')['Data Year'],\ ls.least_squares(x, y_1).get('lci')['Data Year'],\ alpha = 0.25, color = '#99caff') plt.grid() if xmin and xmax != None: plt.xlim(xmin, xmax) else: None if xticks != None: plt.xticks(xticks) else: None if isinstance(subtitle_2, str): plt.title(subtitle_2, y = 1.125) else: plt.title('Observations', y = 1.125) if isinstance(ylabels_r, str): plt.ylabel(ylabels_r) else: plt.ylabel('Obs.') if isinstance(xlabels_r, str): plt.xlabel(xlabels_r) else: plt.xlabel('Index') #The emplty plots below are used to hold custom labels for the legend plt.plot([], [], ' ', label = 'Slope: ' \ + ls.least_squares(x, y_1).get('m').astype(str)) plt.plot([], [], ' ', label = 'R-sq: ' \ + ls.least_squares(x, y_1).get('r_sq').astype(str)) if ls.least_squares(x, y_0).get('p') < 0.0001: p_value = 'p value: <0.0001' else: p_value = 'p value: ' + ls.least_squares(x, y_1).get('p').astype(str) plt.plot([], [], ' ', label = p_value) plt.legend(bbox_to_anchor = (0, 1.05, 1, 0.2), loc = 2, ncol = 3, mode = "expand", borderaxespad = 2) plt.subplot(324) plt.plot(x,p_1,'bo--',label='_x') plt.step(x, pc.p_chart(y_1, p_1).get('ucl'), 'r--', \ label = 'Control Limits', where = 'mid') plt.plot(x, pc.p_chart(y_1, p_1).get('cl'), 'g--', label = 'Center Line') plt.step(x, pc.p_chart(y_1, p_1).get('lcl'), \ 'r--', label = '_x', where = 'mid') plt.grid() if xmin and xmax != None: plt.xlim(xmin, xmax) else: None if xticks != None: plt.xticks(xticks) else: None if isinstance(subtitle_3, str): plt.title(subtitle_3, y = 1.125) else: plt.title('Proportions', y = 1.125) if isinstance(ylabels_p, str): plt.ylabel(ylabels_p) else: plt.ylabel('proportion') if isinstance(xlabels_p, str): plt.xlabel(xlabels_p) else: plt.xlabel('Index') plt.plot([], [],' ', label = 'Mean: ' \ + pc.p_chart(y_1, p_1).get('p_bar').astype(str)) plt.legend(bbox_to_anchor = (0, 1.05, 1, 0.2), \ loc = 2, ncol = 3, mode = "expand", borderaxespad = 2) plt.subplot(325) plt.scatter(x, y_2, label = '_x') plt.plot(x, ls.least_squares(x, y_2).get('upi'), 'r--', label = '_x') plt.plot(x, ls.least_squares(x, y_2).get('l'), 'b--', label = '_x') plt.plot(x, ls.least_squares(x, y_2).get('lpi'), 'r--', label = '_x') plt.fill_between(x, ls.least_squares(x, y_2).get('uci')['Data Year'],\ ls.least_squares(x, y_2).get('lci')['Data Year'],\ alpha = 0.25, color = '#99caff') plt.grid() if xmin and xmax != None: plt.xlim(xmin, xmax) else: None if xticks != None: plt.xticks(xticks) else: None if isinstance(subtitle_4, str): plt.title(subtitle_4, y = 1.125) else: plt.title('Observations', y = 1.125) if isinstance(ylabels_r, str): plt.ylabel(ylabels_r) else: plt.ylabel('Obs.') if isinstance(xlabels_r, str): plt.xlabel(xlabels_r) else: plt.xlabel('Index') #The emplty plots below are used to hold custom labels for the legend plt.plot([], [],' ', label = 'Slope: ' \ + ls.least_squares(x, y_2).get('m').astype(str)) plt.plot([], [],' ', label = 'R-sq: ' \ + ls.least_squares(x, y_2).get('r_sq').astype(str)) if ls.least_squares(x, y_0).get('p') < 0.0001: p_value = 'p value: <0.0001' else: p_value = 'p value: ' + ls.least_squares(x, y_2).get('p').astype(str) plt.plot([], [], ' ', label = p_value) plt.legend(bbox_to_anchor = (0, 1.05, 1, 0.2), \ loc = 2, ncol = 3, mode = "expand", borderaxespad = 2) plt.subplot(326) plt.plot(x, p_2,'bo--', label = '_x') plt.step(x, pc.p_chart(y_2, p_2).get('ucl'), 'r--', \ label = 'Control Limits', where = 'mid') plt.plot(x, pc.p_chart(y_2, p_2).get('cl'), 'g--', label = 'Center Line') plt.step(x, pc.p_chart(y_2, p_2).get('lcl'), \ 'r--',label = '_x', where = 'mid') plt.grid() if xmin and xmax != None: plt.xlim(xmin, xmax) else: None if xticks != None: plt.xticks(xticks) else: None if isinstance(subtitle_5, str): plt.title(subtitle_5, y = 1.125) else: plt.title('Proportions', y = 1.125) if isinstance(ylabels_p, str): plt.ylabel(ylabels_p) else: plt.ylabel('proportion') if isinstance(xlabels_p, str): plt.xlabel(xlabels_p) else: plt.xlabel('Index') plt.plot([], [],' ', label = 'Mean: ' \ + pc.p_chart(y_2, p_2).get('p_bar').astype(str)) plt.legend(bbox_to_anchor = (0, 1.05, 1, 0.2), \ loc = 2, ncol = 3, mode = "expand", borderaxespad = 2) plt.show()

32.027119

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0

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0.291279

9,448

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32.136054

0.678913

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false

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0

null

0

1

0

null

0

6

1d31d31e2ac944084a7d60490414d9da8d257a18

12,794

py

Python

mayan/apps/document_signatures/tests/test_views.py

prezi/mayan-edms

e9bc10a056c3379b57115c6e83022f48c6298e1d

[ "Apache-2.0" ]

4

2019-02-17T08:35:42.000Z

2019-03-28T06:02:11.000Z

mayan/apps/document_signatures/tests/test_views.py

zhoubear/mayan-edms

e9bc10a056c3379b57115c6e83022f48c6298e1d

[ "Apache-2.0" ]

1

2018-10-11T13:01:34.000Z

mayan/apps/document_signatures/tests/test_views.py

prezi/mayan-edms

e9bc10a056c3379b57115c6e83022f48c6298e1d

[ "Apache-2.0" ]

3

2019-01-29T13:21:57.000Z

2019-10-27T03:20:15.000Z

from __future__ import absolute_import, unicode_literals import logging from django.core.files import File from django_downloadview.test import assert_download_response from django_gpg.models import Key from documents.models import DocumentVersion from documents.tests import ( GenericDocumentViewTestCase, TEST_DOCUMENT_PATH ) from ..models import DetachedSignature, EmbeddedSignature from ..permissions import ( permission_document_version_signature_delete, permission_document_version_signature_download, permission_document_version_signature_upload, permission_document_version_signature_verify, permission_document_version_signature_view ) from .literals import ( TEST_SIGNATURE_FILE_PATH, TEST_SIGNED_DOCUMENT_PATH, TEST_KEY_FILE ) TEST_UNSIGNED_DOCUMENT_COUNT = 4 TEST_SIGNED_DOCUMENT_COUNT = 2 class SignaturesViewTestCase(GenericDocumentViewTestCase): def test_signature_list_view_no_permission(self): with open(TEST_KEY_FILE, 'rb') as file_object: Key.objects.create(key_data=file_object.read()) with open(TEST_DOCUMENT_PATH, 'rb') as file_object: document = self.document_type.new_document( file_object=file_object ) with open(TEST_SIGNATURE_FILE_PATH, 'rb') as file_object: DetachedSignature.objects.create( document_version=document.latest_version, signature_file=File(file_object) ) self.login_user() response = self.get( 'signatures:document_version_signature_list', args=(document.latest_version.pk,) ) self.assertEqual(response.status_code, 403) def test_signature_list_view_with_access(self): with open(TEST_KEY_FILE, 'rb') as file_object: Key.objects.create(key_data=file_object.read()) with open(TEST_DOCUMENT_PATH, 'rb') as file_object: document = self.document_type.new_document( file_object=file_object ) with open(TEST_SIGNATURE_FILE_PATH, 'rb') as file_object: DetachedSignature.objects.create( document_version=document.latest_version, signature_file=File(file_object) ) self.login_user() self.grant_access( obj=document, permission=permission_document_version_signature_view ) response = self.get( 'signatures:document_version_signature_list', args=(document.latest_version.pk,) ) self.assertEqual(response.status_code, 200) self.assertEqual(response.context['object_list'].count(), 1) def test_signature_detail_view_no_permission(self): with open(TEST_KEY_FILE, 'rb') as file_object: Key.objects.create(key_data=file_object.read()) with open(TEST_DOCUMENT_PATH, 'rb') as file_object: document = self.document_type.new_document( file_object=file_object ) with open(TEST_SIGNATURE_FILE_PATH, 'rb') as file_object: signature = DetachedSignature.objects.create( document_version=document.latest_version, signature_file=File(file_object) ) self.login_user() response = self.get( 'signatures:document_version_signature_details', args=(signature.pk,) ) self.assertEqual(response.status_code, 403) def test_signature_detail_view_with_access(self): with open(TEST_KEY_FILE, 'rb') as file_object: Key.objects.create(key_data=file_object.read()) with open(TEST_DOCUMENT_PATH, 'rb') as file_object: document = self.document_type.new_document( file_object=file_object ) with open(TEST_SIGNATURE_FILE_PATH, 'rb') as file_object: signature = DetachedSignature.objects.create( document_version=document.latest_version, signature_file=File(file_object) ) self.login_user() self.grant_access( obj=document, permission=permission_document_version_signature_view ) response = self.get( 'signatures:document_version_signature_details', args=(signature.pk,) ) self.assertContains(response, signature.signature_id, status_code=200) def test_signature_upload_view_no_permission(self): with open(TEST_DOCUMENT_PATH, 'rb') as file_object: document = self.document_type.new_document( file_object=file_object ) self.login_user() with open(TEST_SIGNATURE_FILE_PATH, 'rb') as file_object: response = self.post( 'signatures:document_version_signature_upload', args=(document.latest_version.pk,), data={'signature_file': file_object} ) self.assertEqual(response.status_code, 403) self.assertEqual(DetachedSignature.objects.count(), 0) def test_signature_upload_view_with_access(self): with open(TEST_DOCUMENT_PATH, 'rb') as file_object: document = self.document_type.new_document( file_object=file_object ) self.login_user() self.grant_access( obj=document, permission=permission_document_version_signature_upload ) with open(TEST_SIGNATURE_FILE_PATH, 'rb') as file_object: response = self.post( 'signatures:document_version_signature_upload', args=(document.latest_version.pk,), data={'signature_file': file_object} ) self.assertEqual(response.status_code, 302) self.assertEqual(DetachedSignature.objects.count(), 1) def test_signature_download_view_no_permission(self): with open(TEST_DOCUMENT_PATH, 'rb') as file_object: document = self.document_type.new_document( file_object=file_object ) with open(TEST_SIGNATURE_FILE_PATH, 'rb') as file_object: signature = DetachedSignature.objects.create( document_version=document.latest_version, signature_file=File(file_object) ) self.login_user() response = self.get( 'signatures:document_version_signature_download', args=(signature.pk,), ) self.assertEqual(response.status_code, 403) def test_signature_download_view_with_access(self): with open(TEST_DOCUMENT_PATH, 'rb') as file_object: document = self.document_type.new_document( file_object=file_object ) with open(TEST_SIGNATURE_FILE_PATH, 'rb') as file_object: signature = DetachedSignature.objects.create( document_version=document.latest_version, signature_file=File(file_object) ) self.login_user() self.grant_access( obj=document, permission=permission_document_version_signature_download ) self.expected_content_type = 'application/octet-stream; charset=utf-8' response = self.get( 'signatures:document_version_signature_download', args=(signature.pk,), ) with signature.signature_file as file_object: assert_download_response( self, response=response, content=file_object.read(), ) def test_signature_delete_view_no_permission(self): with open(TEST_KEY_FILE, 'rb') as file_object: Key.objects.create(key_data=file_object.read()) with open(TEST_DOCUMENT_PATH, 'rb') as file_object: document = self.document_type.new_document( file_object=file_object ) with open(TEST_SIGNATURE_FILE_PATH, 'rb') as file_object: signature = DetachedSignature.objects.create( document_version=document.latest_version, signature_file=File(file_object) ) self.login_user() self.grant_access( obj=document, permission=permission_document_version_signature_view ) response = self.post( 'signatures:document_version_signature_delete', args=(signature.pk,) ) self.assertEqual(response.status_code, 403) self.assertEqual(DetachedSignature.objects.count(), 1) def test_signature_delete_view_with_access(self): with open(TEST_KEY_FILE, 'rb') as file_object: Key.objects.create(key_data=file_object.read()) with open(TEST_DOCUMENT_PATH, 'rb') as file_object: document = self.document_type.new_document( file_object=file_object ) with open(TEST_SIGNATURE_FILE_PATH, 'rb') as file_object: signature = DetachedSignature.objects.create( document_version=document.latest_version, signature_file=File(file_object) ) self.login_user() self.grant_access( obj=document, permission=permission_document_version_signature_delete ) self.grant_access( obj=document, permission=permission_document_version_signature_view ) response = self.post( 'signatures:document_version_signature_delete', args=(signature.pk,), follow=True ) self.assertContains(response, 'deleted', status_code=200) self.assertEqual(DetachedSignature.objects.count(), 0) def test_missing_signature_verify_view_no_permission(self): # Silence converter logging logging.getLogger('converter.backends').setLevel(logging.CRITICAL) for document in self.document_type.documents.all(): document.delete(to_trash=False) old_hooks = DocumentVersion._post_save_hooks DocumentVersion._post_save_hooks = {} for count in range(TEST_UNSIGNED_DOCUMENT_COUNT): with open(TEST_DOCUMENT_PATH, 'rb') as file_object: self.document_type.new_document( file_object=file_object ) for count in range(TEST_SIGNED_DOCUMENT_COUNT): with open(TEST_SIGNED_DOCUMENT_PATH, 'rb') as file_object: self.document_type.new_document( file_object=file_object ) self.assertEqual( EmbeddedSignature.objects.unsigned_document_versions().count(), TEST_UNSIGNED_DOCUMENT_COUNT + TEST_SIGNED_DOCUMENT_COUNT ) DocumentVersion._post_save_hooks = old_hooks self.login_user() response = self.post( 'signatures:all_document_version_signature_verify', follow=True ) self.assertEqual(response.status_code, 403) self.assertEqual( EmbeddedSignature.objects.unsigned_document_versions().count(), TEST_UNSIGNED_DOCUMENT_COUNT + TEST_SIGNED_DOCUMENT_COUNT ) def test_missing_signature_verify_view_with_permission(self): # Silence converter logging logging.getLogger('converter.backends').setLevel(logging.CRITICAL) for document in self.document_type.documents.all(): document.delete(to_trash=False) old_hooks = DocumentVersion._post_save_hooks DocumentVersion._post_save_hooks = {} for count in range(TEST_UNSIGNED_DOCUMENT_COUNT): with open(TEST_DOCUMENT_PATH, 'rb') as file_object: self.document_type.new_document( file_object=file_object ) for count in range(TEST_SIGNED_DOCUMENT_COUNT): with open(TEST_SIGNED_DOCUMENT_PATH, 'rb') as file_object: self.document_type.new_document( file_object=file_object ) self.assertEqual( EmbeddedSignature.objects.unsigned_document_versions().count(), TEST_UNSIGNED_DOCUMENT_COUNT + TEST_SIGNED_DOCUMENT_COUNT ) DocumentVersion._post_save_hooks = old_hooks self.login_user() self.grant_permission( permission=permission_document_version_signature_verify ) response = self.post( 'signatures:all_document_version_signature_verify', follow=True ) self.assertContains(response, 'queued', status_code=200) self.assertEqual( EmbeddedSignature.objects.unsigned_document_versions().count(), TEST_UNSIGNED_DOCUMENT_COUNT )

33.492147

78

0.646788

1,350

12,794

5.762963

0.082222

0.097686

0.047815

0.053985

0.898201

0.831362

0.823779

0.811954

0.801928

0

0.004441

0.278334

12,794

381

79

33.580052

0.838189

0.003986

0

0.657439

0

0.056907

0.044192

0

0.076125

1

0.041522

false

0

0.034602

0

0.079585

0

null

0

1

0

null

0

6

1d3e4bf23bc3868180d94f20d2e290be0d9ca621

235

py

Python

users/tests.py

RavidYael/lets-meet

38c409dc3ae79e9683b2e22b0e3a51298aea606c

[ "MIT" ]

null

users/tests.py

RavidYael/lets-meet

38c409dc3ae79e9683b2e22b0e3a51298aea606c

[ "MIT" ]

21

2022-03-09T08:39:42.000Z

2022-03-31T21:11:47.000Z

users/tests.py

RavidYael/lets-meet

38c409dc3ae79e9683b2e22b0e3a51298aea606c

[ "MIT" ]

5

2022-02-28T13:45:11.000Z

2022-03-06T15:26:54.000Z

from .class_tests.users_tests import * # noqa: F403 F401 from .class_tests.sign_up_tests import * # noqa: F403 F401 from .class_tests.login_tests import * # noqa: F403 F401 from .class_tests.logout_tests import * # noqa: F403 F401

47

59

0.761702

37

235

4.594595

0.324324

0.211765

0.329412

0.447059

0.788235

0.652941

0

0.120603

0.153191

235

4

60

58.75

0.733668

0.268085

0

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0

true

0

1

0

1

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null

1

0

1

0

null

0

1

0

1

0

6

1d4e9d29898602d77cbc96df50817ff99717c60b

22

py

Python

TurboStock/app/views.py

CLacaile/TurboStock

abc3a8e6260cecaa1e9bb93c682e6cb1de8b628d

[ "MIT" ]

null

TurboStock/app/views.py

CLacaile/TurboStock

abc3a8e6260cecaa1e9bb93c682e6cb1de8b628d

[ "MIT" ]

3

2020-01-10T15:20:49.000Z

2021-03-18T22:34:33.000Z

TurboStock/app/views.py

CLacaile/TurboStock

abc3a8e6260cecaa1e9bb93c682e6cb1de8b628d

[ "MIT" ]

null

from .views import *

7.333333

20

0.681818

3

22

5

1

0

0.227273

22

2

21

11

0.882353

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

1d8f40e4546baf7cda589c624e0aec1a8fa5d838

33

py

Python

hello.py

dk975024/test1

025e782b0c2a4fcd41f6ea6a0783d97da96eeeda

[ "BSD-3-Clause" ]

null

hello.py

dk975024/test1

025e782b0c2a4fcd41f6ea6a0783d97da96eeeda

[ "BSD-3-Clause" ]

null

hello.py

dk975024/test1

025e782b0c2a4fcd41f6ea6a0783d97da96eeeda

[ "BSD-3-Clause" ]

null

print("Hello, here is Jia WANG")

16.5

32

0.69697

6

33

3.833333

1

0

0.151515

33

1

33

0.821429

0

0.69697

0

1

0

true

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

6

d52ad2aa536abbaec796b27cf944314dcc364bcb

3,959

py

Python

circular_economy/migrations/0001_circular_economy.py

CzechInvest/ciis

c6102598f564a717472e5e31e7eb894bba2c8104

[ "MIT" ]

1

2019-05-26T22:24:01.000Z

circular_economy/migrations/0001_circular_economy.py

CzechInvest/ciis

c6102598f564a717472e5e31e7eb894bba2c8104

[ "MIT" ]

6

2019-01-22T14:53:43.000Z

2020-09-22T16:20:28.000Z

circular_economy/migrations/0001_circular_economy.py

CzechInvest/ciis

c6102598f564a717472e5e31e7eb894bba2c8104

[ "MIT" ]

null

# Generated by Django 2.2.3 on 2019-10-29 09:13 from django.db import migrations, models import django.db.models.deletion import uuid class Migration(migrations.Migration): initial = True dependencies = [ ('addresses', '0001_initial'), ] operations = [ migrations.CreateModel( name='ContactPerson', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('first_name', models.CharField(help_text='First name', max_length=40)), ('last_name', models.CharField(help_text='Last name', max_length=40)), ('middle_name', models.CharField(blank=True, help_text='Last name', max_length=40)), ('role', models.CharField(help_text='Director, HR Manager, ...', max_length=256)), ('crm', models.URLField(blank=True, help_text='CRM link')), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='Keyword', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('keyword', models.TextField(max_length=32)), ], ), migrations.CreateModel( name='Pilot', fields=[ ('id', models.UUIDField(default=uuid.uuid4, editable=False, primary_key=True, serialize=False)), ('name', models.CharField(help_text='Name', max_length=200)), ('activity', models.CharField(help_text='Activity name', max_length=200)), ('url', models.URLField()), ('characteristics', models.TextField()), ('project_description', models.TextField()), ('challange', models.TextField()), ('result', models.TextField()), ('address', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='addresses.Address')), ('contact_person', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='circular_economy.ContactPerson')), ('keywords', models.ManyToManyField(to='circular_economy.Keyword')), ], ), migrations.CreateModel( name='Municipality', fields=[ ('id', models.UUIDField(default=uuid.uuid4, editable=False, primary_key=True, serialize=False)), ('name', models.CharField(help_text='Name', max_length=200)), ('activity', models.CharField(help_text='Activity name', max_length=200)), ('url', models.URLField()), ('characteristics', models.TextField()), ('project_description', models.TextField()), ('challange', models.TextField()), ('result', models.TextField()), ('address', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='addresses.Address')), ('contact_person', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='circular_economy.ContactPerson')), ('keywords', models.ManyToManyField(to='circular_economy.Keyword')), ], ), migrations.CreateModel( name='Company', fields=[ ('id', models.UUIDField(default=uuid.uuid4, editable=False, primary_key=True, serialize=False)), ('name', models.CharField(help_text='Name', max_length=200)), ('url', models.URLField()), ('characteristics', models.TextField()), ('address', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='addresses.Address')), ('contact_person', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='circular_economy.ContactPerson')), ], ), ]

48.280488

136

0.577166

375

3,959

5.962667

0.234667

0.035778

0.067979

0.08229

0.765653

0.745081

0.72093

0

0.016696

0.273807

3,959

81

137

48.876543

0.761043

0.011367

0

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1

0

0.165644

0.035276

0

1

0

false

0

0.040541

0

0.094595

0

null

0

1

0

1

0

null

0

6

d53ae7d0de8a5729f1cd65448f37f028171a7fad

28,855

py

Python

pybind/nos/v7_1_0/cee_map/priority_table/__init__.py

shivharis/pybind

4e1c6d54b9fd722ccec25546ba2413d79ce337e6

[ "Apache-2.0" ]

null

pybind/nos/v7_1_0/cee_map/priority_table/__init__.py

shivharis/pybind

4e1c6d54b9fd722ccec25546ba2413d79ce337e6

[ "Apache-2.0" ]

null

pybind/nos/v7_1_0/cee_map/priority_table/__init__.py

shivharis/pybind

4e1c6d54b9fd722ccec25546ba2413d79ce337e6

[ "Apache-2.0" ]

1

2021-11-05T22:15:42.000Z

from operator import attrgetter import pyangbind.lib.xpathhelper as xpathhelper from pyangbind.lib.yangtypes import RestrictedPrecisionDecimalType, RestrictedClassType, TypedListType from pyangbind.lib.yangtypes import YANGBool, YANGListType, YANGDynClass, ReferenceType from pyangbind.lib.base import PybindBase from decimal import Decimal from bitarray import bitarray import __builtin__ class priority_table(PybindBase): """ This class was auto-generated by the PythonClass plugin for PYANG from YANG module brocade-cee-map - based on the path /cee-map/priority-table. Each member element of the container is represented as a class variable - with a specific YANG type. YANG Description: Configure Priority Table """ __slots__ = ('_pybind_generated_by', '_path_helper', '_yang_name', '_rest_name', '_extmethods', '__map_cos0_pgid','__map_cos1_pgid','__map_cos2_pgid','__map_cos3_pgid','__map_cos4_pgid','__map_cos5_pgid','__map_cos6_pgid','__map_cos7_pgid',) _yang_name = 'priority-table' _rest_name = 'priority-table' _pybind_generated_by = 'container' def __init__(self, *args, **kwargs): path_helper_ = kwargs.pop("path_helper", None) if path_helper_ is False: self._path_helper = False elif path_helper_ is not None and isinstance(path_helper_, xpathhelper.YANGPathHelper): self._path_helper = path_helper_ elif hasattr(self, "_parent"): path_helper_ = getattr(self._parent, "_path_helper", False) self._path_helper = path_helper_ else: self._path_helper = False extmethods = kwargs.pop("extmethods", None) if extmethods is False: self._extmethods = False elif extmethods is not None and isinstance(extmethods, dict): self._extmethods = extmethods elif hasattr(self, "_parent"): extmethods = getattr(self._parent, "_extmethods", None) self._extmethods = extmethods else: self._extmethods = False self.__map_cos3_pgid = YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'[0-7]|15\\.[0-7]', 'length': [u'1..32']}), is_leaf=True, yang_name="map-cos3-pgid", rest_name="map-cos3-pgid", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'cli-drop-node-name': None, u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-cee-map', defining_module='brocade-cee-map', yang_type='string', is_config=True) self.__map_cos2_pgid = YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'[0-7]|15\\.[0-7]', 'length': [u'1..32']}), is_leaf=True, yang_name="map-cos2-pgid", rest_name="map-cos2-pgid", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'cli-drop-node-name': None, u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-cee-map', defining_module='brocade-cee-map', yang_type='string', is_config=True) self.__map_cos7_pgid = YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'[0-7]|15\\.[0-7]', 'length': [u'1..32']}), is_leaf=True, yang_name="map-cos7-pgid", rest_name="map-cos7-pgid", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'cli-drop-node-name': None}}, namespace='urn:brocade.com:mgmt:brocade-cee-map', defining_module='brocade-cee-map', yang_type='string', is_config=True) self.__map_cos6_pgid = YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'[0-7]|15\\.[0-7]', 'length': [u'1..32']}), is_leaf=True, yang_name="map-cos6-pgid", rest_name="map-cos6-pgid", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'cli-drop-node-name': None, u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-cee-map', defining_module='brocade-cee-map', yang_type='string', is_config=True) self.__map_cos5_pgid = YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'[0-7]|15\\.[0-7]', 'length': [u'1..32']}), is_leaf=True, yang_name="map-cos5-pgid", rest_name="map-cos5-pgid", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'cli-drop-node-name': None, u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-cee-map', defining_module='brocade-cee-map', yang_type='string', is_config=True) self.__map_cos4_pgid = YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'[0-7]|15\\.[0-7]', 'length': [u'1..32']}), is_leaf=True, yang_name="map-cos4-pgid", rest_name="map-cos4-pgid", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'cli-drop-node-name': None, u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-cee-map', defining_module='brocade-cee-map', yang_type='string', is_config=True) self.__map_cos1_pgid = YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'[0-7]|15\\.[0-7]', 'length': [u'1..32']}), is_leaf=True, yang_name="map-cos1-pgid", rest_name="map-cos1-pgid", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'cli-drop-node-name': None, u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-cee-map', defining_module='brocade-cee-map', yang_type='string', is_config=True) self.__map_cos0_pgid = YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'[0-7]|15\\.[0-7]', 'length': [u'1..32']}), is_leaf=True, yang_name="map-cos0-pgid", rest_name="map-cos0-pgid", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'cli-drop-node-name': None, u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-cee-map', defining_module='brocade-cee-map', yang_type='string', is_config=True) load = kwargs.pop("load", None) if args: if len(args) > 1: raise TypeError("cannot create a YANG container with >1 argument") all_attr = True for e in self._pyangbind_elements: if not hasattr(args[0], e): all_attr = False break if not all_attr: raise ValueError("Supplied object did not have the correct attributes") for e in self._pyangbind_elements: nobj = getattr(args[0], e) if nobj._changed() is False: continue setmethod = getattr(self, "_set_%s" % e) if load is None: setmethod(getattr(args[0], e)) else: setmethod(getattr(args[0], e), load=load) def _path(self): if hasattr(self, "_parent"): return self._parent._path()+[self._yang_name] else: return [u'cee-map', u'priority-table'] def _rest_path(self): if hasattr(self, "_parent"): if self._rest_name: return self._parent._rest_path()+[self._rest_name] else: return self._parent._rest_path() else: return [u'cee-map', u'priority-table'] def _get_map_cos0_pgid(self): """ Getter method for map_cos0_pgid, mapped from YANG variable /cee_map/priority_table/map_cos0_pgid (string) """ return self.__map_cos0_pgid def _set_map_cos0_pgid(self, v, load=False): """ Setter method for map_cos0_pgid, mapped from YANG variable /cee_map/priority_table/map_cos0_pgid (string) If this variable is read-only (config: false) in the source YANG file, then _set_map_cos0_pgid is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_map_cos0_pgid() directly. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'[0-7]|15\\.[0-7]', 'length': [u'1..32']}), is_leaf=True, yang_name="map-cos0-pgid", rest_name="map-cos0-pgid", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'cli-drop-node-name': None, u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-cee-map', defining_module='brocade-cee-map', yang_type='string', is_config=True) except (TypeError, ValueError): raise ValueError({ 'error-string': """map_cos0_pgid must be of a type compatible with string""", 'defined-type': "string", 'generated-type': """YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'[0-7]|15\\.[0-7]', 'length': [u'1..32']}), is_leaf=True, yang_name="map-cos0-pgid", rest_name="map-cos0-pgid", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'cli-drop-node-name': None, u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-cee-map', defining_module='brocade-cee-map', yang_type='string', is_config=True)""", }) self.__map_cos0_pgid = t if hasattr(self, '_set'): self._set() def _unset_map_cos0_pgid(self): self.__map_cos0_pgid = YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'[0-7]|15\\.[0-7]', 'length': [u'1..32']}), is_leaf=True, yang_name="map-cos0-pgid", rest_name="map-cos0-pgid", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'cli-drop-node-name': None, u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-cee-map', defining_module='brocade-cee-map', yang_type='string', is_config=True) def _get_map_cos1_pgid(self): """ Getter method for map_cos1_pgid, mapped from YANG variable /cee_map/priority_table/map_cos1_pgid (string) """ return self.__map_cos1_pgid def _set_map_cos1_pgid(self, v, load=False): """ Setter method for map_cos1_pgid, mapped from YANG variable /cee_map/priority_table/map_cos1_pgid (string) If this variable is read-only (config: false) in the source YANG file, then _set_map_cos1_pgid is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_map_cos1_pgid() directly. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'[0-7]|15\\.[0-7]', 'length': [u'1..32']}), is_leaf=True, yang_name="map-cos1-pgid", rest_name="map-cos1-pgid", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'cli-drop-node-name': None, u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-cee-map', defining_module='brocade-cee-map', yang_type='string', is_config=True) except (TypeError, ValueError): raise ValueError({ 'error-string': """map_cos1_pgid must be of a type compatible with string""", 'defined-type': "string", 'generated-type': """YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'[0-7]|15\\.[0-7]', 'length': [u'1..32']}), is_leaf=True, yang_name="map-cos1-pgid", rest_name="map-cos1-pgid", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'cli-drop-node-name': None, u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-cee-map', defining_module='brocade-cee-map', yang_type='string', is_config=True)""", }) self.__map_cos1_pgid = t if hasattr(self, '_set'): self._set() def _unset_map_cos1_pgid(self): self.__map_cos1_pgid = YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'[0-7]|15\\.[0-7]', 'length': [u'1..32']}), is_leaf=True, yang_name="map-cos1-pgid", rest_name="map-cos1-pgid", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'cli-drop-node-name': None, u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-cee-map', defining_module='brocade-cee-map', yang_type='string', is_config=True) def _get_map_cos2_pgid(self): """ Getter method for map_cos2_pgid, mapped from YANG variable /cee_map/priority_table/map_cos2_pgid (string) """ return self.__map_cos2_pgid def _set_map_cos2_pgid(self, v, load=False): """ Setter method for map_cos2_pgid, mapped from YANG variable /cee_map/priority_table/map_cos2_pgid (string) If this variable is read-only (config: false) in the source YANG file, then _set_map_cos2_pgid is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_map_cos2_pgid() directly. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'[0-7]|15\\.[0-7]', 'length': [u'1..32']}), is_leaf=True, yang_name="map-cos2-pgid", rest_name="map-cos2-pgid", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'cli-drop-node-name': None, u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-cee-map', defining_module='brocade-cee-map', yang_type='string', is_config=True) except (TypeError, ValueError): raise ValueError({ 'error-string': """map_cos2_pgid must be of a type compatible with string""", 'defined-type': "string", 'generated-type': """YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'[0-7]|15\\.[0-7]', 'length': [u'1..32']}), is_leaf=True, yang_name="map-cos2-pgid", rest_name="map-cos2-pgid", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'cli-drop-node-name': None, u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-cee-map', defining_module='brocade-cee-map', yang_type='string', is_config=True)""", }) self.__map_cos2_pgid = t if hasattr(self, '_set'): self._set() def _unset_map_cos2_pgid(self): self.__map_cos2_pgid = YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'[0-7]|15\\.[0-7]', 'length': [u'1..32']}), is_leaf=True, yang_name="map-cos2-pgid", rest_name="map-cos2-pgid", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'cli-drop-node-name': None, u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-cee-map', defining_module='brocade-cee-map', yang_type='string', is_config=True) def _get_map_cos3_pgid(self): """ Getter method for map_cos3_pgid, mapped from YANG variable /cee_map/priority_table/map_cos3_pgid (string) """ return self.__map_cos3_pgid def _set_map_cos3_pgid(self, v, load=False): """ Setter method for map_cos3_pgid, mapped from YANG variable /cee_map/priority_table/map_cos3_pgid (string) If this variable is read-only (config: false) in the source YANG file, then _set_map_cos3_pgid is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_map_cos3_pgid() directly. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'[0-7]|15\\.[0-7]', 'length': [u'1..32']}), is_leaf=True, yang_name="map-cos3-pgid", rest_name="map-cos3-pgid", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'cli-drop-node-name': None, u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-cee-map', defining_module='brocade-cee-map', yang_type='string', is_config=True) except (TypeError, ValueError): raise ValueError({ 'error-string': """map_cos3_pgid must be of a type compatible with string""", 'defined-type': "string", 'generated-type': """YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'[0-7]|15\\.[0-7]', 'length': [u'1..32']}), is_leaf=True, yang_name="map-cos3-pgid", rest_name="map-cos3-pgid", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'cli-drop-node-name': None, u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-cee-map', defining_module='brocade-cee-map', yang_type='string', is_config=True)""", }) self.__map_cos3_pgid = t if hasattr(self, '_set'): self._set() def _unset_map_cos3_pgid(self): self.__map_cos3_pgid = YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'[0-7]|15\\.[0-7]', 'length': [u'1..32']}), is_leaf=True, yang_name="map-cos3-pgid", rest_name="map-cos3-pgid", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'cli-drop-node-name': None, u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-cee-map', defining_module='brocade-cee-map', yang_type='string', is_config=True) def _get_map_cos4_pgid(self): """ Getter method for map_cos4_pgid, mapped from YANG variable /cee_map/priority_table/map_cos4_pgid (string) """ return self.__map_cos4_pgid def _set_map_cos4_pgid(self, v, load=False): """ Setter method for map_cos4_pgid, mapped from YANG variable /cee_map/priority_table/map_cos4_pgid (string) If this variable is read-only (config: false) in the source YANG file, then _set_map_cos4_pgid is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_map_cos4_pgid() directly. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'[0-7]|15\\.[0-7]', 'length': [u'1..32']}), is_leaf=True, yang_name="map-cos4-pgid", rest_name="map-cos4-pgid", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'cli-drop-node-name': None, u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-cee-map', defining_module='brocade-cee-map', yang_type='string', is_config=True) except (TypeError, ValueError): raise ValueError({ 'error-string': """map_cos4_pgid must be of a type compatible with string""", 'defined-type': "string", 'generated-type': """YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'[0-7]|15\\.[0-7]', 'length': [u'1..32']}), is_leaf=True, yang_name="map-cos4-pgid", rest_name="map-cos4-pgid", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'cli-drop-node-name': None, u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-cee-map', defining_module='brocade-cee-map', yang_type='string', is_config=True)""", }) self.__map_cos4_pgid = t if hasattr(self, '_set'): self._set() def _unset_map_cos4_pgid(self): self.__map_cos4_pgid = YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'[0-7]|15\\.[0-7]', 'length': [u'1..32']}), is_leaf=True, yang_name="map-cos4-pgid", rest_name="map-cos4-pgid", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'cli-drop-node-name': None, u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-cee-map', defining_module='brocade-cee-map', yang_type='string', is_config=True) def _get_map_cos5_pgid(self): """ Getter method for map_cos5_pgid, mapped from YANG variable /cee_map/priority_table/map_cos5_pgid (string) """ return self.__map_cos5_pgid def _set_map_cos5_pgid(self, v, load=False): """ Setter method for map_cos5_pgid, mapped from YANG variable /cee_map/priority_table/map_cos5_pgid (string) If this variable is read-only (config: false) in the source YANG file, then _set_map_cos5_pgid is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_map_cos5_pgid() directly. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'[0-7]|15\\.[0-7]', 'length': [u'1..32']}), is_leaf=True, yang_name="map-cos5-pgid", rest_name="map-cos5-pgid", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'cli-drop-node-name': None, u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-cee-map', defining_module='brocade-cee-map', yang_type='string', is_config=True) except (TypeError, ValueError): raise ValueError({ 'error-string': """map_cos5_pgid must be of a type compatible with string""", 'defined-type': "string", 'generated-type': """YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'[0-7]|15\\.[0-7]', 'length': [u'1..32']}), is_leaf=True, yang_name="map-cos5-pgid", rest_name="map-cos5-pgid", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'cli-drop-node-name': None, u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-cee-map', defining_module='brocade-cee-map', yang_type='string', is_config=True)""", }) self.__map_cos5_pgid = t if hasattr(self, '_set'): self._set() def _unset_map_cos5_pgid(self): self.__map_cos5_pgid = YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'[0-7]|15\\.[0-7]', 'length': [u'1..32']}), is_leaf=True, yang_name="map-cos5-pgid", rest_name="map-cos5-pgid", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'cli-drop-node-name': None, u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-cee-map', defining_module='brocade-cee-map', yang_type='string', is_config=True) def _get_map_cos6_pgid(self): """ Getter method for map_cos6_pgid, mapped from YANG variable /cee_map/priority_table/map_cos6_pgid (string) """ return self.__map_cos6_pgid def _set_map_cos6_pgid(self, v, load=False): """ Setter method for map_cos6_pgid, mapped from YANG variable /cee_map/priority_table/map_cos6_pgid (string) If this variable is read-only (config: false) in the source YANG file, then _set_map_cos6_pgid is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_map_cos6_pgid() directly. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'[0-7]|15\\.[0-7]', 'length': [u'1..32']}), is_leaf=True, yang_name="map-cos6-pgid", rest_name="map-cos6-pgid", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'cli-drop-node-name': None, u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-cee-map', defining_module='brocade-cee-map', yang_type='string', is_config=True) except (TypeError, ValueError): raise ValueError({ 'error-string': """map_cos6_pgid must be of a type compatible with string""", 'defined-type': "string", 'generated-type': """YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'[0-7]|15\\.[0-7]', 'length': [u'1..32']}), is_leaf=True, yang_name="map-cos6-pgid", rest_name="map-cos6-pgid", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'cli-drop-node-name': None, u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-cee-map', defining_module='brocade-cee-map', yang_type='string', is_config=True)""", }) self.__map_cos6_pgid = t if hasattr(self, '_set'): self._set() def _unset_map_cos6_pgid(self): self.__map_cos6_pgid = YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'[0-7]|15\\.[0-7]', 'length': [u'1..32']}), is_leaf=True, yang_name="map-cos6-pgid", rest_name="map-cos6-pgid", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'cli-drop-node-name': None, u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-cee-map', defining_module='brocade-cee-map', yang_type='string', is_config=True) def _get_map_cos7_pgid(self): """ Getter method for map_cos7_pgid, mapped from YANG variable /cee_map/priority_table/map_cos7_pgid (string) """ return self.__map_cos7_pgid def _set_map_cos7_pgid(self, v, load=False): """ Setter method for map_cos7_pgid, mapped from YANG variable /cee_map/priority_table/map_cos7_pgid (string) If this variable is read-only (config: false) in the source YANG file, then _set_map_cos7_pgid is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_map_cos7_pgid() directly. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'[0-7]|15\\.[0-7]', 'length': [u'1..32']}), is_leaf=True, yang_name="map-cos7-pgid", rest_name="map-cos7-pgid", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'cli-drop-node-name': None}}, namespace='urn:brocade.com:mgmt:brocade-cee-map', defining_module='brocade-cee-map', yang_type='string', is_config=True) except (TypeError, ValueError): raise ValueError({ 'error-string': """map_cos7_pgid must be of a type compatible with string""", 'defined-type': "string", 'generated-type': """YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'[0-7]|15\\.[0-7]', 'length': [u'1..32']}), is_leaf=True, yang_name="map-cos7-pgid", rest_name="map-cos7-pgid", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'cli-drop-node-name': None}}, namespace='urn:brocade.com:mgmt:brocade-cee-map', defining_module='brocade-cee-map', yang_type='string', is_config=True)""", }) self.__map_cos7_pgid = t if hasattr(self, '_set'): self._set() def _unset_map_cos7_pgid(self): self.__map_cos7_pgid = YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'[0-7]|15\\.[0-7]', 'length': [u'1..32']}), is_leaf=True, yang_name="map-cos7-pgid", rest_name="map-cos7-pgid", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'cli-drop-node-name': None}}, namespace='urn:brocade.com:mgmt:brocade-cee-map', defining_module='brocade-cee-map', yang_type='string', is_config=True) map_cos0_pgid = __builtin__.property(_get_map_cos0_pgid, _set_map_cos0_pgid) map_cos1_pgid = __builtin__.property(_get_map_cos1_pgid, _set_map_cos1_pgid) map_cos2_pgid = __builtin__.property(_get_map_cos2_pgid, _set_map_cos2_pgid) map_cos3_pgid = __builtin__.property(_get_map_cos3_pgid, _set_map_cos3_pgid) map_cos4_pgid = __builtin__.property(_get_map_cos4_pgid, _set_map_cos4_pgid) map_cos5_pgid = __builtin__.property(_get_map_cos5_pgid, _set_map_cos5_pgid) map_cos6_pgid = __builtin__.property(_get_map_cos6_pgid, _set_map_cos6_pgid) map_cos7_pgid = __builtin__.property(_get_map_cos7_pgid, _set_map_cos7_pgid) _pyangbind_elements = {'map_cos0_pgid': map_cos0_pgid, 'map_cos1_pgid': map_cos1_pgid, 'map_cos2_pgid': map_cos2_pgid, 'map_cos3_pgid': map_cos3_pgid, 'map_cos4_pgid': map_cos4_pgid, 'map_cos5_pgid': map_cos5_pgid, 'map_cos6_pgid': map_cos6_pgid, 'map_cos7_pgid': map_cos7_pgid, }

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null

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d55533fd1aa913fe8b626d3ec75baa384b75645e

78

py

Python

preprocessor/all.py

sneha1234/Power-Log-Analysis-Using-Hadoop

bbbe91067fc3acbbfffef539b3e6c14583cedef4

[ "Apache-2.0" ]

null

preprocessor/all.py

sneha1234/Power-Log-Analysis-Using-Hadoop

bbbe91067fc3acbbfffef539b3e6c14583cedef4

[ "Apache-2.0" ]

null

preprocessor/all.py

sneha1234/Power-Log-Analysis-Using-Hadoop

bbbe91067fc3acbbfffef539b3e6c14583cedef4

[ "Apache-2.0" ]

null

import os os.system("python preprocess.py") os.system("python hivercode.py")

15.6

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633b9fd7c0690d8b45d1c6cd5c230c3ebac2ab36

138

py

Python

pyDiamondsBackground/__init__.py

muma7490/PyDIAMONDS-Background

769a8ad57003a7d342d5e21c0f6fa74fb74821c1

[ "MIT" ]

null

pyDiamondsBackground/__init__.py

muma7490/PyDIAMONDS-Background

769a8ad57003a7d342d5e21c0f6fa74fb74821c1

[ "MIT" ]

10

2017-09-28T13:45:11.000Z

2017-10-11T12:32:58.000Z

pyDiamondsBackground/__init__.py

muma7490/PyDIAMONDS-Background

769a8ad57003a7d342d5e21c0f6fa74fb74821c1

[ "MIT" ]

null

from pyDiamondsBackground.Background import Background from pyDiamondsBackground import models from pyDiamondsBackground.strings import *

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6

6346ea05ec301510c8eca9c60c3718fcb05a4be2

373

py

Python

nlstruct/dataloaders/__init__.py

YoannT/nlstruct

9f5df13d89fc2c3070ba696bdf4f02539716a361

[ "BSD-3-Clause" ]

null

nlstruct/dataloaders/__init__.py

YoannT/nlstruct

9f5df13d89fc2c3070ba696bdf4f02539716a361

[ "BSD-3-Clause" ]

null

nlstruct/dataloaders/__init__.py

YoannT/nlstruct

9f5df13d89fc2c3070ba696bdf4f02539716a361

[ "BSD-3-Clause" ]

null

from nlstruct.dataloaders.brat import load_from_brat from nlstruct.dataloaders.ncbi_disease import load_ncbi_disease from nlstruct.dataloaders.medic import load_medic_synonyms, load_alt_medic_mapping from nlstruct.dataloaders.bc5cdr import load_bc5cdr from nlstruct.dataloaders.quaero import load_quaero from nlstruct.dataloaders.n2c2_2019_task3 import load_n2c2_2019_task3

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6

89587d789a0b48f663a49ef0e15edff5a121cbe1

11,361

py

Python

test/charm_test.py

exceptorr/charm-k8s-prometheus

aa07d479c289a93dd51cfe1d767273ec4ff60ab6

[ "Apache-2.0" ]

3

2020-03-16T12:19:40.000Z

2020-06-05T05:22:19.000Z

test/charm_test.py

exceptorr/charm-k8s-prometheus

aa07d479c289a93dd51cfe1d767273ec4ff60ab6

[ "Apache-2.0" ]

11

2020-02-14T06:04:42.000Z

2020-06-01T13:47:32.000Z

test/charm_test.py

exceptorr/charm-k8s-prometheus

aa07d479c289a93dd51cfe1d767273ec4ff60ab6

[ "Apache-2.0" ]

2

2020-05-12T12:40:47.000Z

2020-06-05T05:22:24.000Z

import json import sys import unittest from unittest.mock import ( call, create_autospec, patch ) from uuid import uuid4 sys.path.append('lib') from ops.framework import ( EventBase, ) from ops.model import ( ActiveStatus, MaintenanceStatus, ) sys.path.append('src') from adapters import ( framework, k8s, ) import charm import domain # This test is disabled due to the: # https://github.com/canonical/operator/issues/307 # https://github.com/canonical/operator/issues/309 # class OnConfigChangedHandlerTest(unittest.TestCase): # # We are mocking the time module here so that we don't actually wait # # 1 second per loop during test exectution. # @patch('charm.build_juju_unit_status', spec_set=True, autospec=True) # @patch('charm.k8s', spec_set=True, autospec=True) # @patch('charm.time', spec_set=True, autospec=True) # @patch('charm.build_juju_pod_spec', spec_set=True, autospec=True) # @patch('charm.set_juju_pod_spec', spec_set=True, autospec=True) # def test__it_blocks_until_pod_is_ready( # self, # mock_pod_spec, # mock_juju_pod_spec, # mock_time, # mock_k8s_mod, # mock_build_juju_unit_status_func): # # Setup # mock_fw_adapter_cls = \ # create_autospec(framework.FrameworkAdapter, spec_set=True) # mock_fw_adapter = mock_fw_adapter_cls.return_value # # mock_juju_unit_states = [ # MaintenanceStatus(str(uuid4())), # MaintenanceStatus(str(uuid4())), # ActiveStatus(str(uuid4())), # ] # mock_build_juju_unit_status_func.side_effect = mock_juju_unit_states # # mock_event_cls = create_autospec(EventBase, spec_set=True) # mock_event = mock_event_cls.return_value # # harness = Harness(charm.Charm) # harness.begin() # harness.charm._stored.set_default(is_started=False) # harness.charm.on.config_changed.emit() # # # # Exercise # # charm.on_config_changed_handler( # # mock_event, mock_fw_adapter, harness.charm._stored # # ) # # # # # Assert # # assert mock_fw_adapter.set_unit_status.call_count == \ # # len(mock_juju_unit_states) # # assert mock_fw_adapter.set_unit_status.call_args_list == [ # # call(status) for status in mock_juju_unit_states # # ] class BuildJujuUnitStatusTest(unittest.TestCase): def test_returns_maintenance_status_if_pod_status_cannot_be_fetched(self): # Setup pod_status = k8s.PodStatus(status_dict=None) # Exercise juju_unit_status = charm.build_juju_unit_status(pod_status) # Assertions assert type(juju_unit_status) == MaintenanceStatus assert juju_unit_status.message == "Waiting for pod to appear" def test_returns_maintenance_status_if_pod_is_not_running(self): # Setup status_dict = { 'metadata': { 'annotations': { 'juju.io/unit': uuid4() } }, 'status': { 'phase': 'Pending', 'conditions': [{ 'type': 'ContainersReady', 'status': 'False' }] } } pod_status = k8s.PodStatus(status_dict=status_dict) # Exercise juju_unit_status = charm.build_juju_unit_status(pod_status) # Assertions assert type(juju_unit_status) == MaintenanceStatus assert juju_unit_status.message == "Pod is starting" def test_returns_maintenance_status_if_pod_is_not_ready(self): # Setup status_dict = { 'metadata': { 'annotations': { 'juju.io/unit': uuid4() } }, 'status': { 'phase': 'Running', 'conditions': [{ 'type': 'ContainersReady', 'status': 'False' }] } } pod_status = k8s.PodStatus(status_dict=status_dict) # Exercise juju_unit_status = charm.build_juju_unit_status(pod_status) # Assertions assert type(juju_unit_status) == MaintenanceStatus assert juju_unit_status.message == "Pod is getting ready" def test_returns_active_status_if_pod_is_ready(self): # Setup status_dict = { 'metadata': { 'annotations': { 'juju.io/unit': uuid4() } }, 'status': { 'phase': 'Running', 'conditions': [{ 'type': 'ContainersReady', 'status': 'True' }] } } pod_status = k8s.PodStatus(status_dict=status_dict) # Exercise juju_unit_status = charm.build_juju_unit_status(pod_status) # Assertions assert type(juju_unit_status) == ActiveStatus class OnConfigChangedHandlerTest(unittest.TestCase): @patch('charm.set_juju_pod_spec', spec_set=True, autospec=True) @patch('charm.wait_for_pod_readiness', spec_set=True, autospec=True) @patch('charm.ensure_config_is_reloaded', spec_set=True, autospec=True) def test__it_pod_is_ready_and_config_is_updated( self, mock_ensure_config_is_reloaded, mock_wait_for_pod_readiness_func, mock_set_juju_pod_spec ): # Setup mock_fw_adapter_cls = \ create_autospec(framework.FrameworkAdapter, spec_set=True) mock_fw = mock_fw_adapter_cls.return_value mock_event_cls = create_autospec(EventBase) mock_event = mock_event_cls.return_value mock_state_cls = \ create_autospec(charm.StoredState, spec_set=True) mock_state = mock_state_cls.return_value mock_set_juju_pod_spec.return_value = False charm.on_config_changed_handler(mock_event, mock_fw, mock_state) assert mock_wait_for_pod_readiness_func.call_count == 0 assert mock_ensure_config_is_reloaded.call_count == 0 mock_set_juju_pod_spec.return_value = True charm.on_config_changed_handler(mock_event, mock_fw, mock_state) assert mock_wait_for_pod_readiness_func.call_count == 1 assert mock_ensure_config_is_reloaded.call_count == 1 class WaitForPodReadinessTest(unittest.TestCase): # We are mocking the time module here so that we don't actually wait # 1 second per loop during test exectution. @patch('charm.build_juju_unit_status', spec_set=True, autospec=True) @patch('charm.k8s', spec_set=True, autospec=True) @patch('charm.time', spec_set=True, autospec=True) @patch('charm.set_juju_pod_spec', spec_set=True, autospec=True) def test__it_blocks_until_pod_is_ready( self, mock_pod_spec, mock_time, mock_k8s_mod, mock_build_juju_unit_status_func): # Setup mock_fw_adapter_cls = \ create_autospec(framework.FrameworkAdapter, spec_set=True) mock_fw_adapter = mock_fw_adapter_cls.return_value mock_juju_unit_states = [ MaintenanceStatus(str(uuid4())), MaintenanceStatus(str(uuid4())), ActiveStatus(str(uuid4())), ] mock_build_juju_unit_status_func.side_effect = mock_juju_unit_states # Exercise charm.wait_for_pod_readiness(mock_fw_adapter) # Assert assert mock_fw_adapter.set_unit_status.call_count == \ len(mock_juju_unit_states) assert mock_fw_adapter.set_unit_status.call_args_list == [ call(status) for status in mock_juju_unit_states ] class OnNewAlertManagerRelationHandler(unittest.TestCase): @patch('charm.build_juju_pod_spec', spec_set=True, autospec=True) def test__it_updates_the_juju_pod_spec_with_alerting_config( self, mock_build_juju_pod_spec_func): # Setup mock_fw_adapter_cls = \ create_autospec(framework.FrameworkAdapter, spec_set=True) mock_fw = mock_fw_adapter_cls.return_value mock_fw.unit_is_leader.return_value = True mock_event_cls = create_autospec(EventBase) mock_event = mock_event_cls.return_value mock_data = {str(uuid4()): str(uuid4())} mock_event.data = dict(alerting_config=json.dumps(mock_data)) mock_prom_juju_pod_spec = create_autospec(domain.PrometheusJujuPodSpec) mock_build_juju_pod_spec_func.return_value = mock_prom_juju_pod_spec # Exercise charm.on_new_alertmanager_relation_handler(mock_event, mock_fw) # Assert assert mock_build_juju_pod_spec_func.call_count == 1 assert mock_build_juju_pod_spec_func.call_args == \ call(app_name=mock_fw.get_app_name.return_value, charm_config=mock_fw.get_config.return_value, prom_image_meta=mock_fw.get_image_meta.return_value, nginx_image_meta=mock_fw.get_image_meta.return_value, alerting_config=mock_data) assert mock_fw.set_pod_spec.call_count == 1 assert mock_fw.set_pod_spec.call_args == \ call(mock_prom_juju_pod_spec.to_dict()) assert mock_fw.set_unit_status.call_count == 1 args, kwargs = mock_fw.set_unit_status.call_args_list[0] assert type(args[0]) == MaintenanceStatus class OnStartHandlerTest(unittest.TestCase): @patch('charm.build_juju_pod_spec', spec_set=True, autospec=True) def test__it_updates_the_juju_pod_spec(self, mock_build_juju_pod_spec_func): # Setup mock_fw_adapter_cls = \ create_autospec(framework.FrameworkAdapter, spec_set=True) mock_fw = mock_fw_adapter_cls.return_value mock_fw.unit_is_leader.return_value = True mock_event_cls = create_autospec(EventBase, spec_set=True) mock_event = mock_event_cls.return_value mock_prom_juju_pod_spec = create_autospec(domain.PrometheusJujuPodSpec) mock_build_juju_pod_spec_func.return_value = mock_prom_juju_pod_spec mock_state = create_autospec(charm.StoredState).return_value # Exercise charm.on_start_handler(mock_event, mock_fw, mock_state) # Assert assert mock_state.recently_started assert mock_state.config_propagated assert mock_build_juju_pod_spec_func.call_count == 1 assert mock_build_juju_pod_spec_func.call_args == \ call(app_name=mock_fw.get_app_name.return_value, charm_config=mock_fw.get_config.return_value, prom_image_meta=mock_fw.get_image_meta.return_value, nginx_image_meta=mock_fw.get_image_meta.return_value, alerting_config={}) assert mock_fw.set_pod_spec.call_count == 1 assert mock_fw.set_pod_spec.call_args == \ call(mock_prom_juju_pod_spec.to_dict()) assert mock_fw.set_unit_status.call_count == 1 args, kwargs = mock_fw.set_unit_status.call_args_list[0] assert type(args[0]) == MaintenanceStatus

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8989c3f62acf917b7545fe6e324a351f41309076

37

py

Python

src/las_to_cesium/__init__.py

jurajpalenik/las-to-cesium

52b2bab3fc96318ba20be651597986579e80ec9f

[ "MIT" ]

null

src/las_to_cesium/__init__.py

jurajpalenik/las-to-cesium

52b2bab3fc96318ba20be651597986579e80ec9f

[ "MIT" ]

null

src/las_to_cesium/__init__.py

jurajpalenik/las-to-cesium

52b2bab3fc96318ba20be651597986579e80ec9f

[ "MIT" ]

null

from las_to_cesium.main import main

12.333333

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null

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1

0

1

0

1

0

6

89a9dc113edb369c6f6a3a00f9297bf22ab4ed80

2,893

py

Python

squandered/transaction/models.py

kzborisov/squandered

df46d54d5388f9f30c89cfa912b034c1b1c93219

[ "MIT" ]

null

squandered/transaction/models.py

kzborisov/squandered

df46d54d5388f9f30c89cfa912b034c1b1c93219

[ "MIT" ]

null

squandered/transaction/models.py

kzborisov/squandered

df46d54d5388f9f30c89cfa912b034c1b1c93219

[ "MIT" ]

null

from django.contrib.auth import get_user_model from django.db import models from django.utils.timezone import localtime from squandered.account.models import Profile, CustomUser UserModel = get_user_model() class ExpenseCategory(models.Model): NAME_MAX_LENGTH = 256 name = models.CharField( max_length=NAME_MAX_LENGTH, unique=True, ) created_at = models.DateTimeField( auto_now_add=True, ) user = models.ForeignKey( UserModel, on_delete=models.CASCADE, ) def __str__(self): return f'{self.name}' class Meta: verbose_name_plural = 'Expense Categories' ordering = ('-created_at',) class IncomeCategory(models.Model): NAME_MAX_LENGTH = 256 name = models.CharField( max_length=NAME_MAX_LENGTH, unique=True, ) created_at = models.DateTimeField( auto_now_add=True, ) user = models.ForeignKey( UserModel, on_delete=models.CASCADE, ) def __str__(self): return f'{self.name}' class Meta: verbose_name_plural = 'Income Categories' ordering = ('-created_at',) class Expense(models.Model): NAME_MAX_LENGTH = 1024 AMOUNT_DECIMAL_PLACES = 2 AMOUNT_MAX_DIGITS = 14 name = models.CharField( max_length=NAME_MAX_LENGTH, validators=(), # Char only validator ) amount = models.DecimalField( max_digits=AMOUNT_MAX_DIGITS, decimal_places=AMOUNT_DECIMAL_PLACES, ) description = models.TextField( blank=True, null=True, ) date = models.DateField( default=localtime, ) created_at = models.DateTimeField( auto_now_add=True, ) category = models.ForeignKey( ExpenseCategory, on_delete=models.CASCADE, ) user = models.ForeignKey( UserModel, on_delete=models.CASCADE, ) def __str__(self): return f'{self.category} {self.date} {self.amount}' class Meta: ordering = ('-date',) class Income(models.Model): NAME_MAX_LENGTH = 1024 AMOUNT_DECIMAL_PLACES = 2 AMOUNT_MAX_DIGITS = 14 name = models.CharField( max_length=NAME_MAX_LENGTH, ) amount = models.DecimalField( max_digits=AMOUNT_MAX_DIGITS, decimal_places=AMOUNT_DECIMAL_PLACES, ) description = models.TextField( blank=True, null=True, ) date = models.DateField( default=localtime, ) created_at = models.DateTimeField( auto_now_add=True, ) category = models.ForeignKey( IncomeCategory, on_delete=models.CASCADE, ) user = models.ForeignKey( UserModel, on_delete=models.CASCADE, ) def __str__(self): return f'{self.category} {self.date} {self.amount}' class Meta: ordering = ('-date',)

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89b1bb2cfa6ef397725cbb5b56c28d4a0c3292e0

232

py

Python

blades_helper/__init__.py

eriksalt/blades_helper_proj

96e9d856b0e7f7a9cfc26c9f1bdc89c574eebdbc

[ "MIT" ]

null

blades_helper/__init__.py

eriksalt/blades_helper_proj

96e9d856b0e7f7a9cfc26c9f1bdc89c574eebdbc

[ "MIT" ]

null

blades_helper/__init__.py

eriksalt/blades_helper_proj

96e9d856b0e7f7a9cfc26c9f1bdc89c574eebdbc

[ "MIT" ]

null

from .mission_generator_constants import MissionGeneratorConstants from .mission import Mission from .mission_generator import generate_missions, _initialize_mission, _configure_mission_by_type from .data_gateway import DataGateway

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Python

venv/lib/python3.8/site-packages/pyparsing/testing.py

Retraces/UkraineBot

3d5d7f8aaa58fa0cb8b98733b8808e5dfbdb8b71

[ "MIT" ]

2

2022-03-13T01:58:52.000Z

2022-03-31T06:07:54.000Z

venv/lib/python3.8/site-packages/pyparsing/testing.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

19

2021-11-20T04:09:18.000Z

2022-03-23T15:05:55.000Z

venv/lib/python3.8/site-packages/pyparsing/testing.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

null

/home/runner/.cache/pip/pool/b3/3b/3c/00a6511193212f4cb4bec31f6935409e9a8f1deb60e9528904d99ce106

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py

Python

cottonformation/res/groundstation.py

MacHu-GWU/cottonformation-project

23e28c08cfb5a7cc0db6dbfdb1d7e1585c773f3b

[ "BSD-2-Clause" ]

5

2021-07-22T03:45:59.000Z

2021-12-17T21:07:14.000Z

cottonformation/res/groundstation.py

MacHu-GWU/cottonformation-project

23e28c08cfb5a7cc0db6dbfdb1d7e1585c773f3b

[ "BSD-2-Clause" ]

1

2021-06-25T18:01:31.000Z

cottonformation/res/groundstation.py

MacHu-GWU/cottonformation-project

23e28c08cfb5a7cc0db6dbfdb1d7e1585c773f3b

[ "BSD-2-Clause" ]

2

2021-06-27T03:08:21.000Z

2021-06-28T22:15:51.000Z

# -*- coding: utf-8 -*- """ This module """ import attr import typing from ..core.model import ( Property, Resource, Tag, GetAtt, TypeHint, TypeCheck, ) from ..core.constant import AttrMeta #--- Property declaration --- @attr.s class PropConfigS3RecordingConfig(Property): """ AWS Object Type = "AWS::GroundStation::Config.S3RecordingConfig" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-s3recordingconfig.html Property Document: - ``p_BucketArn``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-s3recordingconfig.html#cfn-groundstation-config-s3recordingconfig-bucketarn - ``p_Prefix``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-s3recordingconfig.html#cfn-groundstation-config-s3recordingconfig-prefix - ``p_RoleArn``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-s3recordingconfig.html#cfn-groundstation-config-s3recordingconfig-rolearn """ AWS_OBJECT_TYPE = "AWS::GroundStation::Config.S3RecordingConfig" p_BucketArn: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "BucketArn"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-s3recordingconfig.html#cfn-groundstation-config-s3recordingconfig-bucketarn""" p_Prefix: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Prefix"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-s3recordingconfig.html#cfn-groundstation-config-s3recordingconfig-prefix""" p_RoleArn: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "RoleArn"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-s3recordingconfig.html#cfn-groundstation-config-s3recordingconfig-rolearn""" @attr.s class PropConfigUplinkEchoConfig(Property): """ AWS Object Type = "AWS::GroundStation::Config.UplinkEchoConfig" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-uplinkechoconfig.html Property Document: - ``p_AntennaUplinkConfigArn``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-uplinkechoconfig.html#cfn-groundstation-config-uplinkechoconfig-antennauplinkconfigarn - ``p_Enabled``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-uplinkechoconfig.html#cfn-groundstation-config-uplinkechoconfig-enabled """ AWS_OBJECT_TYPE = "AWS::GroundStation::Config.UplinkEchoConfig" p_AntennaUplinkConfigArn: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "AntennaUplinkConfigArn"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-uplinkechoconfig.html#cfn-groundstation-config-uplinkechoconfig-antennauplinkconfigarn""" p_Enabled: bool = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(bool)), metadata={AttrMeta.PROPERTY_NAME: "Enabled"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-uplinkechoconfig.html#cfn-groundstation-config-uplinkechoconfig-enabled""" @attr.s class PropConfigDataflowEndpointConfig(Property): """ AWS Object Type = "AWS::GroundStation::Config.DataflowEndpointConfig" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-dataflowendpointconfig.html Property Document: - ``p_DataflowEndpointName``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-dataflowendpointconfig.html#cfn-groundstation-config-dataflowendpointconfig-dataflowendpointname - ``p_DataflowEndpointRegion``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-dataflowendpointconfig.html#cfn-groundstation-config-dataflowendpointconfig-dataflowendpointregion """ AWS_OBJECT_TYPE = "AWS::GroundStation::Config.DataflowEndpointConfig" p_DataflowEndpointName: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "DataflowEndpointName"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-dataflowendpointconfig.html#cfn-groundstation-config-dataflowendpointconfig-dataflowendpointname""" p_DataflowEndpointRegion: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "DataflowEndpointRegion"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-dataflowendpointconfig.html#cfn-groundstation-config-dataflowendpointconfig-dataflowendpointregion""" @attr.s class PropMissionProfileDataflowEdge(Property): """ AWS Object Type = "AWS::GroundStation::MissionProfile.DataflowEdge" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-missionprofile-dataflowedge.html Property Document: - ``p_Destination``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-missionprofile-dataflowedge.html#cfn-groundstation-missionprofile-dataflowedge-destination - ``p_Source``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-missionprofile-dataflowedge.html#cfn-groundstation-missionprofile-dataflowedge-source """ AWS_OBJECT_TYPE = "AWS::GroundStation::MissionProfile.DataflowEdge" p_Destination: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Destination"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-missionprofile-dataflowedge.html#cfn-groundstation-missionprofile-dataflowedge-destination""" p_Source: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Source"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-missionprofile-dataflowedge.html#cfn-groundstation-missionprofile-dataflowedge-source""" @attr.s class PropConfigDemodulationConfig(Property): """ AWS Object Type = "AWS::GroundStation::Config.DemodulationConfig" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-demodulationconfig.html Property Document: - ``p_UnvalidatedJSON``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-demodulationconfig.html#cfn-groundstation-config-demodulationconfig-unvalidatedjson """ AWS_OBJECT_TYPE = "AWS::GroundStation::Config.DemodulationConfig" p_UnvalidatedJSON: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "UnvalidatedJSON"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-demodulationconfig.html#cfn-groundstation-config-demodulationconfig-unvalidatedjson""" @attr.s class PropDataflowEndpointGroupSecurityDetails(Property): """ AWS Object Type = "AWS::GroundStation::DataflowEndpointGroup.SecurityDetails" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-dataflowendpointgroup-securitydetails.html Property Document: - ``p_RoleArn``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-dataflowendpointgroup-securitydetails.html#cfn-groundstation-dataflowendpointgroup-securitydetails-rolearn - ``p_SecurityGroupIds``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-dataflowendpointgroup-securitydetails.html#cfn-groundstation-dataflowendpointgroup-securitydetails-securitygroupids - ``p_SubnetIds``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-dataflowendpointgroup-securitydetails.html#cfn-groundstation-dataflowendpointgroup-securitydetails-subnetids """ AWS_OBJECT_TYPE = "AWS::GroundStation::DataflowEndpointGroup.SecurityDetails" p_RoleArn: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "RoleArn"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-dataflowendpointgroup-securitydetails.html#cfn-groundstation-dataflowendpointgroup-securitydetails-rolearn""" p_SecurityGroupIds: typing.List[TypeHint.intrinsic_str] = attr.ib( default=None, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "SecurityGroupIds"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-dataflowendpointgroup-securitydetails.html#cfn-groundstation-dataflowendpointgroup-securitydetails-securitygroupids""" p_SubnetIds: typing.List[TypeHint.intrinsic_str] = attr.ib( default=None, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "SubnetIds"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-dataflowendpointgroup-securitydetails.html#cfn-groundstation-dataflowendpointgroup-securitydetails-subnetids""" @attr.s class PropDataflowEndpointGroupSocketAddress(Property): """ AWS Object Type = "AWS::GroundStation::DataflowEndpointGroup.SocketAddress" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-dataflowendpointgroup-socketaddress.html Property Document: - ``p_Name``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-dataflowendpointgroup-socketaddress.html#cfn-groundstation-dataflowendpointgroup-socketaddress-name - ``p_Port``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-dataflowendpointgroup-socketaddress.html#cfn-groundstation-dataflowendpointgroup-socketaddress-port """ AWS_OBJECT_TYPE = "AWS::GroundStation::DataflowEndpointGroup.SocketAddress" p_Name: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Name"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-dataflowendpointgroup-socketaddress.html#cfn-groundstation-dataflowendpointgroup-socketaddress-name""" p_Port: int = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(int)), metadata={AttrMeta.PROPERTY_NAME: "Port"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-dataflowendpointgroup-socketaddress.html#cfn-groundstation-dataflowendpointgroup-socketaddress-port""" @attr.s class PropConfigFrequency(Property): """ AWS Object Type = "AWS::GroundStation::Config.Frequency" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-frequency.html Property Document: - ``p_Units``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-frequency.html#cfn-groundstation-config-frequency-units - ``p_Value``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-frequency.html#cfn-groundstation-config-frequency-value """ AWS_OBJECT_TYPE = "AWS::GroundStation::Config.Frequency" p_Units: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Units"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-frequency.html#cfn-groundstation-config-frequency-units""" p_Value: float = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(float)), metadata={AttrMeta.PROPERTY_NAME: "Value"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-frequency.html#cfn-groundstation-config-frequency-value""" @attr.s class PropConfigFrequencyBandwidth(Property): """ AWS Object Type = "AWS::GroundStation::Config.FrequencyBandwidth" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-frequencybandwidth.html Property Document: - ``p_Units``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-frequencybandwidth.html#cfn-groundstation-config-frequencybandwidth-units - ``p_Value``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-frequencybandwidth.html#cfn-groundstation-config-frequencybandwidth-value """ AWS_OBJECT_TYPE = "AWS::GroundStation::Config.FrequencyBandwidth" p_Units: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Units"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-frequencybandwidth.html#cfn-groundstation-config-frequencybandwidth-units""" p_Value: float = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(float)), metadata={AttrMeta.PROPERTY_NAME: "Value"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-frequencybandwidth.html#cfn-groundstation-config-frequencybandwidth-value""" @attr.s class PropConfigTrackingConfig(Property): """ AWS Object Type = "AWS::GroundStation::Config.TrackingConfig" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-trackingconfig.html Property Document: - ``p_Autotrack``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-trackingconfig.html#cfn-groundstation-config-trackingconfig-autotrack """ AWS_OBJECT_TYPE = "AWS::GroundStation::Config.TrackingConfig" p_Autotrack: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Autotrack"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-trackingconfig.html#cfn-groundstation-config-trackingconfig-autotrack""" @attr.s class PropConfigDecodeConfig(Property): """ AWS Object Type = "AWS::GroundStation::Config.DecodeConfig" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-decodeconfig.html Property Document: - ``p_UnvalidatedJSON``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-decodeconfig.html#cfn-groundstation-config-decodeconfig-unvalidatedjson """ AWS_OBJECT_TYPE = "AWS::GroundStation::Config.DecodeConfig" p_UnvalidatedJSON: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "UnvalidatedJSON"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-decodeconfig.html#cfn-groundstation-config-decodeconfig-unvalidatedjson""" @attr.s class PropConfigEirp(Property): """ AWS Object Type = "AWS::GroundStation::Config.Eirp" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-eirp.html Property Document: - ``p_Units``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-eirp.html#cfn-groundstation-config-eirp-units - ``p_Value``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-eirp.html#cfn-groundstation-config-eirp-value """ AWS_OBJECT_TYPE = "AWS::GroundStation::Config.Eirp" p_Units: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Units"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-eirp.html#cfn-groundstation-config-eirp-units""" p_Value: float = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(float)), metadata={AttrMeta.PROPERTY_NAME: "Value"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-eirp.html#cfn-groundstation-config-eirp-value""" @attr.s class PropDataflowEndpointGroupDataflowEndpoint(Property): """ AWS Object Type = "AWS::GroundStation::DataflowEndpointGroup.DataflowEndpoint" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-dataflowendpointgroup-dataflowendpoint.html Property Document: - ``p_Address``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-dataflowendpointgroup-dataflowendpoint.html#cfn-groundstation-dataflowendpointgroup-dataflowendpoint-address - ``p_Mtu``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-dataflowendpointgroup-dataflowendpoint.html#cfn-groundstation-dataflowendpointgroup-dataflowendpoint-mtu - ``p_Name``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-dataflowendpointgroup-dataflowendpoint.html#cfn-groundstation-dataflowendpointgroup-dataflowendpoint-name """ AWS_OBJECT_TYPE = "AWS::GroundStation::DataflowEndpointGroup.DataflowEndpoint" p_Address: typing.Union['PropDataflowEndpointGroupSocketAddress', dict] = attr.ib( default=None, converter=PropDataflowEndpointGroupSocketAddress.from_dict, validator=attr.validators.optional(attr.validators.instance_of(PropDataflowEndpointGroupSocketAddress)), metadata={AttrMeta.PROPERTY_NAME: "Address"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-dataflowendpointgroup-dataflowendpoint.html#cfn-groundstation-dataflowendpointgroup-dataflowendpoint-address""" p_Mtu: int = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(int)), metadata={AttrMeta.PROPERTY_NAME: "Mtu"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-dataflowendpointgroup-dataflowendpoint.html#cfn-groundstation-dataflowendpointgroup-dataflowendpoint-mtu""" p_Name: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Name"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-dataflowendpointgroup-dataflowendpoint.html#cfn-groundstation-dataflowendpointgroup-dataflowendpoint-name""" @attr.s class PropConfigUplinkSpectrumConfig(Property): """ AWS Object Type = "AWS::GroundStation::Config.UplinkSpectrumConfig" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-uplinkspectrumconfig.html Property Document: - ``p_CenterFrequency``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-uplinkspectrumconfig.html#cfn-groundstation-config-uplinkspectrumconfig-centerfrequency - ``p_Polarization``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-uplinkspectrumconfig.html#cfn-groundstation-config-uplinkspectrumconfig-polarization """ AWS_OBJECT_TYPE = "AWS::GroundStation::Config.UplinkSpectrumConfig" p_CenterFrequency: typing.Union['PropConfigFrequency', dict] = attr.ib( default=None, converter=PropConfigFrequency.from_dict, validator=attr.validators.optional(attr.validators.instance_of(PropConfigFrequency)), metadata={AttrMeta.PROPERTY_NAME: "CenterFrequency"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-uplinkspectrumconfig.html#cfn-groundstation-config-uplinkspectrumconfig-centerfrequency""" p_Polarization: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Polarization"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-uplinkspectrumconfig.html#cfn-groundstation-config-uplinkspectrumconfig-polarization""" @attr.s class PropConfigSpectrumConfig(Property): """ AWS Object Type = "AWS::GroundStation::Config.SpectrumConfig" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-spectrumconfig.html Property Document: - ``p_Bandwidth``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-spectrumconfig.html#cfn-groundstation-config-spectrumconfig-bandwidth - ``p_CenterFrequency``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-spectrumconfig.html#cfn-groundstation-config-spectrumconfig-centerfrequency - ``p_Polarization``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-spectrumconfig.html#cfn-groundstation-config-spectrumconfig-polarization """ AWS_OBJECT_TYPE = "AWS::GroundStation::Config.SpectrumConfig" p_Bandwidth: typing.Union['PropConfigFrequencyBandwidth', dict] = attr.ib( default=None, converter=PropConfigFrequencyBandwidth.from_dict, validator=attr.validators.optional(attr.validators.instance_of(PropConfigFrequencyBandwidth)), metadata={AttrMeta.PROPERTY_NAME: "Bandwidth"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-spectrumconfig.html#cfn-groundstation-config-spectrumconfig-bandwidth""" p_CenterFrequency: typing.Union['PropConfigFrequency', dict] = attr.ib( default=None, converter=PropConfigFrequency.from_dict, validator=attr.validators.optional(attr.validators.instance_of(PropConfigFrequency)), metadata={AttrMeta.PROPERTY_NAME: "CenterFrequency"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-spectrumconfig.html#cfn-groundstation-config-spectrumconfig-centerfrequency""" p_Polarization: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Polarization"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-spectrumconfig.html#cfn-groundstation-config-spectrumconfig-polarization""" @attr.s class PropDataflowEndpointGroupEndpointDetails(Property): """ AWS Object Type = "AWS::GroundStation::DataflowEndpointGroup.EndpointDetails" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-dataflowendpointgroup-endpointdetails.html Property Document: - ``p_Endpoint``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-dataflowendpointgroup-endpointdetails.html#cfn-groundstation-dataflowendpointgroup-endpointdetails-endpoint - ``p_SecurityDetails``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-dataflowendpointgroup-endpointdetails.html#cfn-groundstation-dataflowendpointgroup-endpointdetails-securitydetails """ AWS_OBJECT_TYPE = "AWS::GroundStation::DataflowEndpointGroup.EndpointDetails" p_Endpoint: typing.Union['PropDataflowEndpointGroupDataflowEndpoint', dict] = attr.ib( default=None, converter=PropDataflowEndpointGroupDataflowEndpoint.from_dict, validator=attr.validators.optional(attr.validators.instance_of(PropDataflowEndpointGroupDataflowEndpoint)), metadata={AttrMeta.PROPERTY_NAME: "Endpoint"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-dataflowendpointgroup-endpointdetails.html#cfn-groundstation-dataflowendpointgroup-endpointdetails-endpoint""" p_SecurityDetails: typing.Union['PropDataflowEndpointGroupSecurityDetails', dict] = attr.ib( default=None, converter=PropDataflowEndpointGroupSecurityDetails.from_dict, validator=attr.validators.optional(attr.validators.instance_of(PropDataflowEndpointGroupSecurityDetails)), metadata={AttrMeta.PROPERTY_NAME: "SecurityDetails"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-dataflowendpointgroup-endpointdetails.html#cfn-groundstation-dataflowendpointgroup-endpointdetails-securitydetails""" @attr.s class PropConfigAntennaUplinkConfig(Property): """ AWS Object Type = "AWS::GroundStation::Config.AntennaUplinkConfig" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-antennauplinkconfig.html Property Document: - ``p_SpectrumConfig``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-antennauplinkconfig.html#cfn-groundstation-config-antennauplinkconfig-spectrumconfig - ``p_TargetEirp``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-antennauplinkconfig.html#cfn-groundstation-config-antennauplinkconfig-targeteirp - ``p_TransmitDisabled``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-antennauplinkconfig.html#cfn-groundstation-config-antennauplinkconfig-transmitdisabled """ AWS_OBJECT_TYPE = "AWS::GroundStation::Config.AntennaUplinkConfig" p_SpectrumConfig: typing.Union['PropConfigUplinkSpectrumConfig', dict] = attr.ib( default=None, converter=PropConfigUplinkSpectrumConfig.from_dict, validator=attr.validators.optional(attr.validators.instance_of(PropConfigUplinkSpectrumConfig)), metadata={AttrMeta.PROPERTY_NAME: "SpectrumConfig"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-antennauplinkconfig.html#cfn-groundstation-config-antennauplinkconfig-spectrumconfig""" p_TargetEirp: typing.Union['PropConfigEirp', dict] = attr.ib( default=None, converter=PropConfigEirp.from_dict, validator=attr.validators.optional(attr.validators.instance_of(PropConfigEirp)), metadata={AttrMeta.PROPERTY_NAME: "TargetEirp"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-antennauplinkconfig.html#cfn-groundstation-config-antennauplinkconfig-targeteirp""" p_TransmitDisabled: bool = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(bool)), metadata={AttrMeta.PROPERTY_NAME: "TransmitDisabled"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-antennauplinkconfig.html#cfn-groundstation-config-antennauplinkconfig-transmitdisabled""" @attr.s class PropConfigAntennaDownlinkConfig(Property): """ AWS Object Type = "AWS::GroundStation::Config.AntennaDownlinkConfig" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-antennadownlinkconfig.html Property Document: - ``p_SpectrumConfig``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-antennadownlinkconfig.html#cfn-groundstation-config-antennadownlinkconfig-spectrumconfig """ AWS_OBJECT_TYPE = "AWS::GroundStation::Config.AntennaDownlinkConfig" p_SpectrumConfig: typing.Union['PropConfigSpectrumConfig', dict] = attr.ib( default=None, converter=PropConfigSpectrumConfig.from_dict, validator=attr.validators.optional(attr.validators.instance_of(PropConfigSpectrumConfig)), metadata={AttrMeta.PROPERTY_NAME: "SpectrumConfig"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-antennadownlinkconfig.html#cfn-groundstation-config-antennadownlinkconfig-spectrumconfig""" @attr.s class PropConfigAntennaDownlinkDemodDecodeConfig(Property): """ AWS Object Type = "AWS::GroundStation::Config.AntennaDownlinkDemodDecodeConfig" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-antennadownlinkdemoddecodeconfig.html Property Document: - ``p_DecodeConfig``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-antennadownlinkdemoddecodeconfig.html#cfn-groundstation-config-antennadownlinkdemoddecodeconfig-decodeconfig - ``p_DemodulationConfig``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-antennadownlinkdemoddecodeconfig.html#cfn-groundstation-config-antennadownlinkdemoddecodeconfig-demodulationconfig - ``p_SpectrumConfig``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-antennadownlinkdemoddecodeconfig.html#cfn-groundstation-config-antennadownlinkdemoddecodeconfig-spectrumconfig """ AWS_OBJECT_TYPE = "AWS::GroundStation::Config.AntennaDownlinkDemodDecodeConfig" p_DecodeConfig: typing.Union['PropConfigDecodeConfig', dict] = attr.ib( default=None, converter=PropConfigDecodeConfig.from_dict, validator=attr.validators.optional(attr.validators.instance_of(PropConfigDecodeConfig)), metadata={AttrMeta.PROPERTY_NAME: "DecodeConfig"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-antennadownlinkdemoddecodeconfig.html#cfn-groundstation-config-antennadownlinkdemoddecodeconfig-decodeconfig""" p_DemodulationConfig: typing.Union['PropConfigDemodulationConfig', dict] = attr.ib( default=None, converter=PropConfigDemodulationConfig.from_dict, validator=attr.validators.optional(attr.validators.instance_of(PropConfigDemodulationConfig)), metadata={AttrMeta.PROPERTY_NAME: "DemodulationConfig"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-antennadownlinkdemoddecodeconfig.html#cfn-groundstation-config-antennadownlinkdemoddecodeconfig-demodulationconfig""" p_SpectrumConfig: typing.Union['PropConfigSpectrumConfig', dict] = attr.ib( default=None, converter=PropConfigSpectrumConfig.from_dict, validator=attr.validators.optional(attr.validators.instance_of(PropConfigSpectrumConfig)), metadata={AttrMeta.PROPERTY_NAME: "SpectrumConfig"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-antennadownlinkdemoddecodeconfig.html#cfn-groundstation-config-antennadownlinkdemoddecodeconfig-spectrumconfig""" @attr.s class PropConfigConfigData(Property): """ AWS Object Type = "AWS::GroundStation::Config.ConfigData" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-configdata.html Property Document: - ``p_AntennaDownlinkConfig``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-configdata.html#cfn-groundstation-config-configdata-antennadownlinkconfig - ``p_AntennaDownlinkDemodDecodeConfig``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-configdata.html#cfn-groundstation-config-configdata-antennadownlinkdemoddecodeconfig - ``p_AntennaUplinkConfig``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-configdata.html#cfn-groundstation-config-configdata-antennauplinkconfig - ``p_DataflowEndpointConfig``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-configdata.html#cfn-groundstation-config-configdata-dataflowendpointconfig - ``p_S3RecordingConfig``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-configdata.html#cfn-groundstation-config-configdata-s3recordingconfig - ``p_TrackingConfig``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-configdata.html#cfn-groundstation-config-configdata-trackingconfig - ``p_UplinkEchoConfig``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-configdata.html#cfn-groundstation-config-configdata-uplinkechoconfig """ AWS_OBJECT_TYPE = "AWS::GroundStation::Config.ConfigData" p_AntennaDownlinkConfig: typing.Union['PropConfigAntennaDownlinkConfig', dict] = attr.ib( default=None, converter=PropConfigAntennaDownlinkConfig.from_dict, validator=attr.validators.optional(attr.validators.instance_of(PropConfigAntennaDownlinkConfig)), metadata={AttrMeta.PROPERTY_NAME: "AntennaDownlinkConfig"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-configdata.html#cfn-groundstation-config-configdata-antennadownlinkconfig""" p_AntennaDownlinkDemodDecodeConfig: typing.Union['PropConfigAntennaDownlinkDemodDecodeConfig', dict] = attr.ib( default=None, converter=PropConfigAntennaDownlinkDemodDecodeConfig.from_dict, validator=attr.validators.optional(attr.validators.instance_of(PropConfigAntennaDownlinkDemodDecodeConfig)), metadata={AttrMeta.PROPERTY_NAME: "AntennaDownlinkDemodDecodeConfig"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-configdata.html#cfn-groundstation-config-configdata-antennadownlinkdemoddecodeconfig""" p_AntennaUplinkConfig: typing.Union['PropConfigAntennaUplinkConfig', dict] = attr.ib( default=None, converter=PropConfigAntennaUplinkConfig.from_dict, validator=attr.validators.optional(attr.validators.instance_of(PropConfigAntennaUplinkConfig)), metadata={AttrMeta.PROPERTY_NAME: "AntennaUplinkConfig"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-configdata.html#cfn-groundstation-config-configdata-antennauplinkconfig""" p_DataflowEndpointConfig: typing.Union['PropConfigDataflowEndpointConfig', dict] = attr.ib( default=None, converter=PropConfigDataflowEndpointConfig.from_dict, validator=attr.validators.optional(attr.validators.instance_of(PropConfigDataflowEndpointConfig)), metadata={AttrMeta.PROPERTY_NAME: "DataflowEndpointConfig"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-configdata.html#cfn-groundstation-config-configdata-dataflowendpointconfig""" p_S3RecordingConfig: typing.Union['PropConfigS3RecordingConfig', dict] = attr.ib( default=None, converter=PropConfigS3RecordingConfig.from_dict, validator=attr.validators.optional(attr.validators.instance_of(PropConfigS3RecordingConfig)), metadata={AttrMeta.PROPERTY_NAME: "S3RecordingConfig"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-configdata.html#cfn-groundstation-config-configdata-s3recordingconfig""" p_TrackingConfig: typing.Union['PropConfigTrackingConfig', dict] = attr.ib( default=None, converter=PropConfigTrackingConfig.from_dict, validator=attr.validators.optional(attr.validators.instance_of(PropConfigTrackingConfig)), metadata={AttrMeta.PROPERTY_NAME: "TrackingConfig"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-configdata.html#cfn-groundstation-config-configdata-trackingconfig""" p_UplinkEchoConfig: typing.Union['PropConfigUplinkEchoConfig', dict] = attr.ib( default=None, converter=PropConfigUplinkEchoConfig.from_dict, validator=attr.validators.optional(attr.validators.instance_of(PropConfigUplinkEchoConfig)), metadata={AttrMeta.PROPERTY_NAME: "UplinkEchoConfig"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-groundstation-config-configdata.html#cfn-groundstation-config-configdata-uplinkechoconfig""" #--- Resource declaration --- @attr.s class Config(Resource): """ AWS Object Type = "AWS::GroundStation::Config" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-groundstation-config.html Property Document: - ``rp_ConfigData``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-groundstation-config.html#cfn-groundstation-config-configdata - ``rp_Name``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-groundstation-config.html#cfn-groundstation-config-name - ``p_Tags``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-groundstation-config.html#cfn-groundstation-config-tags """ AWS_OBJECT_TYPE = "AWS::GroundStation::Config" rp_ConfigData: typing.Union['PropConfigConfigData', dict] = attr.ib( default=None, converter=PropConfigConfigData.from_dict, validator=attr.validators.instance_of(PropConfigConfigData), metadata={AttrMeta.PROPERTY_NAME: "ConfigData"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-groundstation-config.html#cfn-groundstation-config-configdata""" rp_Name: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "Name"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-groundstation-config.html#cfn-groundstation-config-name""" p_Tags: typing.List[typing.Union[Tag, dict]] = attr.ib( default=None, converter=Tag.from_list, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(Tag), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "Tags"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-groundstation-config.html#cfn-groundstation-config-tags""" @property def rv_Type(self) -> GetAtt: """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-groundstation-config.html#aws-resource-groundstation-config-return-values""" return GetAtt(resource=self, attr_name="Type") @property def rv_Arn(self) -> GetAtt: """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-groundstation-config.html#aws-resource-groundstation-config-return-values""" return GetAtt(resource=self, attr_name="Arn") @property def rv_Id(self) -> GetAtt: """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-groundstation-config.html#aws-resource-groundstation-config-return-values""" return GetAtt(resource=self, attr_name="Id") @attr.s class DataflowEndpointGroup(Resource): """ AWS Object Type = "AWS::GroundStation::DataflowEndpointGroup" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-groundstation-dataflowendpointgroup.html Property Document: - ``rp_EndpointDetails``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-groundstation-dataflowendpointgroup.html#cfn-groundstation-dataflowendpointgroup-endpointdetails - ``p_Tags``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-groundstation-dataflowendpointgroup.html#cfn-groundstation-dataflowendpointgroup-tags """ AWS_OBJECT_TYPE = "AWS::GroundStation::DataflowEndpointGroup" rp_EndpointDetails: typing.List[typing.Union['PropDataflowEndpointGroupEndpointDetails', dict]] = attr.ib( default=None, converter=PropDataflowEndpointGroupEndpointDetails.from_list, validator=attr.validators.deep_iterable(member_validator=attr.validators.instance_of(PropDataflowEndpointGroupEndpointDetails), iterable_validator=attr.validators.instance_of(list)), metadata={AttrMeta.PROPERTY_NAME: "EndpointDetails"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-groundstation-dataflowendpointgroup.html#cfn-groundstation-dataflowendpointgroup-endpointdetails""" p_Tags: typing.List[typing.Union[Tag, dict]] = attr.ib( default=None, converter=Tag.from_list, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(Tag), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "Tags"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-groundstation-dataflowendpointgroup.html#cfn-groundstation-dataflowendpointgroup-tags""" @property def rv_Id(self) -> GetAtt: """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-groundstation-dataflowendpointgroup.html#aws-resource-groundstation-dataflowendpointgroup-return-values""" return GetAtt(resource=self, attr_name="Id") @property def rv_Arn(self) -> GetAtt: """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-groundstation-dataflowendpointgroup.html#aws-resource-groundstation-dataflowendpointgroup-return-values""" return GetAtt(resource=self, attr_name="Arn") @attr.s class MissionProfile(Resource): """ AWS Object Type = "AWS::GroundStation::MissionProfile" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-groundstation-missionprofile.html Property Document: - ``rp_DataflowEdges``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-groundstation-missionprofile.html#cfn-groundstation-missionprofile-dataflowedges - ``rp_MinimumViableContactDurationSeconds``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-groundstation-missionprofile.html#cfn-groundstation-missionprofile-minimumviablecontactdurationseconds - ``rp_Name``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-groundstation-missionprofile.html#cfn-groundstation-missionprofile-name - ``rp_TrackingConfigArn``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-groundstation-missionprofile.html#cfn-groundstation-missionprofile-trackingconfigarn - ``p_ContactPostPassDurationSeconds``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-groundstation-missionprofile.html#cfn-groundstation-missionprofile-contactpostpassdurationseconds - ``p_ContactPrePassDurationSeconds``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-groundstation-missionprofile.html#cfn-groundstation-missionprofile-contactprepassdurationseconds - ``p_Tags``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-groundstation-missionprofile.html#cfn-groundstation-missionprofile-tags """ AWS_OBJECT_TYPE = "AWS::GroundStation::MissionProfile" rp_DataflowEdges: typing.List[typing.Union['PropMissionProfileDataflowEdge', dict]] = attr.ib( default=None, converter=PropMissionProfileDataflowEdge.from_list, validator=attr.validators.deep_iterable(member_validator=attr.validators.instance_of(PropMissionProfileDataflowEdge), iterable_validator=attr.validators.instance_of(list)), metadata={AttrMeta.PROPERTY_NAME: "DataflowEdges"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-groundstation-missionprofile.html#cfn-groundstation-missionprofile-dataflowedges""" rp_MinimumViableContactDurationSeconds: int = attr.ib( default=None, validator=attr.validators.instance_of(int), metadata={AttrMeta.PROPERTY_NAME: "MinimumViableContactDurationSeconds"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-groundstation-missionprofile.html#cfn-groundstation-missionprofile-minimumviablecontactdurationseconds""" rp_Name: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "Name"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-groundstation-missionprofile.html#cfn-groundstation-missionprofile-name""" rp_TrackingConfigArn: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "TrackingConfigArn"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-groundstation-missionprofile.html#cfn-groundstation-missionprofile-trackingconfigarn""" p_ContactPostPassDurationSeconds: int = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(int)), metadata={AttrMeta.PROPERTY_NAME: "ContactPostPassDurationSeconds"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-groundstation-missionprofile.html#cfn-groundstation-missionprofile-contactpostpassdurationseconds""" p_ContactPrePassDurationSeconds: int = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(int)), metadata={AttrMeta.PROPERTY_NAME: "ContactPrePassDurationSeconds"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-groundstation-missionprofile.html#cfn-groundstation-missionprofile-contactprepassdurationseconds""" p_Tags: typing.List[typing.Union[Tag, dict]] = attr.ib( default=None, converter=Tag.from_list, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(Tag), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "Tags"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-groundstation-missionprofile.html#cfn-groundstation-missionprofile-tags""" @property def rv_Id(self) -> GetAtt: """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-groundstation-missionprofile.html#aws-resource-groundstation-missionprofile-return-values""" return GetAtt(resource=self, attr_name="Id") @property def rv_Arn(self) -> GetAtt: """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-groundstation-missionprofile.html#aws-resource-groundstation-missionprofile-return-values""" return GetAtt(resource=self, attr_name="Arn") @property def rv_Region(self) -> GetAtt: """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-groundstation-missionprofile.html#aws-resource-groundstation-missionprofile-return-values""" return GetAtt(resource=self, attr_name="Region")

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0.805801

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0.803551

0

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0

null

0

1

0

null

0

6

7f2ba64c9ab9651acf1caf7619ae77a3c3e13afc

31

py

Python

livemark/plugins/blog/__init__.py

AyrtonB/livemark

f8c49d449ea6242c674cf345823468aaabea6e6b

[ "MIT" ]

73

2021-06-07T13:28:36.000Z

2022-03-26T05:37:59.000Z

livemark/plugins/blog/__init__.py

AyrtonB/livemark

f8c49d449ea6242c674cf345823468aaabea6e6b

[ "MIT" ]

120

2021-06-04T12:51:01.000Z

2022-03-21T11:11:36.000Z

livemark/plugins/blog/__init__.py

AyrtonB/livemark

f8c49d449ea6242c674cf345823468aaabea6e6b

[ "MIT" ]

7

2021-09-22T11:38:26.000Z

2022-03-26T05:35:58.000Z

from .plugin import BlogPlugin

15.5

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0.83871

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6

7f4481341f42853f354216de7d09f8b31f721cff

10,579

py

Python

hallo/test/modules/convert/test_convert_unit_remove_name.py

SpangleLabs/Hallo

17145d8f76552ecd4cbc5caef8924bd2cf0cbf24

[ "MIT" ]

1

2022-01-27T13:25:01.000Z

hallo/test/modules/convert/test_convert_unit_remove_name.py

joshcoales/Hallo

17145d8f76552ecd4cbc5caef8924bd2cf0cbf24

[ "MIT" ]

75

2015-09-26T18:07:18.000Z

2022-01-04T07:15:11.000Z

hallo/test/modules/convert/test_convert_unit_remove_name.py

SpangleLabs/Hallo

17145d8f76552ecd4cbc5caef8924bd2cf0cbf24

[ "MIT" ]

1

2021-04-10T12:02:47.000Z

import unittest from hallo.events import EventMessage from hallo.test.modules.convert.convert_function_test_base import ConvertFunctionTestBase class ConvertUnitRemoveNameTest(ConvertFunctionTestBase, unittest.TestCase): def test_invalid_type_specified(self): names1a = len(self.test_unit1a.name_list) self.function_dispatcher.dispatch( EventMessage( self.server, None, self.test_user, "convert unit remove name type=new_type unit=unit1a del=added_name", ) ) data = self.server.get_send_data(1, self.test_user, EventMessage) assert "invalid type specified" in data[0].text.lower() assert len(self.test_unit1a.name_list) == names1a def test_no_units_match_specified_unit_and_specified_del_name_1(self): names1a = len(self.test_unit1a.name_list) self.function_dispatcher.dispatch( EventMessage( self.server, None, self.test_user, "convert unit remove name unit=unit1a remove=not_a_name", ) ) data = self.server.get_send_data(1, self.test_user, EventMessage) assert "there are no units matching that description" in data[0].text.lower() assert len(self.test_unit1a.name_list) == names1a def test_no_units_match_specified_unit_and_specified_del_name_2(self): self.test_unit1a.add_name("added_name") names1a = len(self.test_unit1a.name_list) self.function_dispatcher.dispatch( EventMessage( self.server, None, self.test_user, "convert unit remove name unit=unit1aa remove=added_name", ) ) data = self.server.get_send_data(1, self.test_user, EventMessage) assert "there are no units matching that description" in data[0].text.lower() assert len(self.test_unit1a.name_list) == names1a def test_no_units_match_specified_unit_and_specified_del_name_3(self): names1a = len(self.test_unit1a.name_list) self.function_dispatcher.dispatch( EventMessage( self.server, None, self.test_user, "convert unit remove name unit=unit1aa remove=not_a_name", ) ) data = self.server.get_send_data(1, self.test_user, EventMessage) assert "there are no units matching that description" in data[0].text.lower() assert len(self.test_unit1a.name_list) == names1a def test_no_units_match_specified_del_name(self): self.function_dispatcher.dispatch( EventMessage( self.server, None, self.test_user, "convert unit remove name remove=not_a_name", ) ) data = self.server.get_send_data(1, self.test_user, EventMessage) assert "there are no units matching that description" in data[0].text.lower() def test_no_units_match_specified_unit_and_del_name_1(self): names1a = len(self.test_unit1a.name_list) self.function_dispatcher.dispatch( EventMessage( self.server, None, self.test_user, "convert unit remove name unit=unit1a not_a_name", ) ) data = self.server.get_send_data(1, self.test_user, EventMessage) assert "there are no units matching that description" in data[0].text.lower() assert len(self.test_unit1a.name_list) == names1a def test_no_units_match_specified_unit_and_del_name_2(self): self.test_unit1a.add_name("added_name") names1a = len(self.test_unit1a.name_list) self.function_dispatcher.dispatch( EventMessage( self.server, None, self.test_user, "convert unit remove name unit=unit1aa added_name", ) ) data = self.server.get_send_data(1, self.test_user, EventMessage) assert "there are no units matching that description" in data[0].text.lower() assert len(self.test_unit1a.name_list) == names1a def test_no_units_match_specified_unit_and_del_name_3(self): names1a = len(self.test_unit1a.name_list) self.function_dispatcher.dispatch( EventMessage( self.server, None, self.test_user, "convert unit remove name unit=unit1aa not_a_name", ) ) data = self.server.get_send_data(1, self.test_user, EventMessage) assert "there are no units matching that description" in data[0].text.lower() assert len(self.test_unit1a.name_list) == names1a def test_multiple_units_match_name(self): names1b = len(self.test_unit1b.name_list) names2b = len(self.test_unit2b.name_list) self.function_dispatcher.dispatch( EventMessage( self.server, None, self.test_user, "convert unit remove name del=same_name", ) ) data = self.server.get_send_data(1, self.test_user, EventMessage) assert "it is ambiguous which unit you refer to" in data[0].text.lower() assert len(self.test_unit1b.name_list) == names1b assert len(self.test_unit2b.name_list) == names2b def test_cant_remove_last_name(self): assert len(self.test_unit1a.name_list) == 1 self.function_dispatcher.dispatch( EventMessage( self.server, None, self.test_user, "convert unit remove name del=unit1a" ) ) data = self.server.get_send_data(1, self.test_user, EventMessage) assert "unit only has 1 name" in data[0].text.lower() assert "cannot remove its last name" in data[0].text.lower() assert len(self.test_unit1a.name_list) == 1 def test_remove_by_just_del_name_1(self): names1b = len(self.test_unit1b.name_list) fallback_name = self.test_unit1b.name_list[1] self.function_dispatcher.dispatch( EventMessage( self.server, None, self.test_user, "convert unit remove name del=unit1b" ) ) data = self.server.get_send_data(1, self.test_user, EventMessage) assert 'removed name "unit1b"' in data[0].text.lower() assert 'from "{}" unit'.format(fallback_name) in data[0].text.lower() assert len(self.test_unit1b.name_list) == names1b - 1 def test_remove_by_just_del_name_2(self): names1b = len(self.test_unit1b.name_list) fallback_name = self.test_unit1b.name_list[1] self.function_dispatcher.dispatch( EventMessage( self.server, None, self.test_user, "convert unit remove name unit1b" ) ) data = self.server.get_send_data(1, self.test_user, EventMessage) assert 'removed name "unit1b"' in data[0].text.lower() assert 'from "{}" unit'.format(fallback_name) in data[0].text.lower() assert len(self.test_unit1b.name_list) == names1b - 1 def test_remove_by_unit_and_del_name_1(self): self.test_unit1b.add_name("added_name") names1b = len(self.test_unit1b.name_list) self.function_dispatcher.dispatch( EventMessage( self.server, None, self.test_user, "convert unit remove name unit=unit1b del=added_name", ) ) data = self.server.get_send_data(1, self.test_user, EventMessage) assert 'removed name "added_name"' in data[0].text.lower() assert 'from "unit1b" unit' in data[0].text.lower() assert len(self.test_unit1b.name_list) == names1b - 1 def test_remove_by_unit_and_del_name_2(self): self.test_unit1b.add_name("added_name") names1b = len(self.test_unit1b.name_list) self.function_dispatcher.dispatch( EventMessage( self.server, None, self.test_user, "convert unit remove name unit1b del=added_name", ) ) data = self.server.get_send_data(1, self.test_user, EventMessage) assert 'removed name "added_name"' in data[0].text.lower() assert 'from "unit1b" unit' in data[0].text.lower() assert len(self.test_unit1b.name_list) == names1b - 1 def test_remove_by_unit_and_del_name_3(self): self.test_unit1b.add_name("added_name") names1b = len(self.test_unit1b.name_list) self.function_dispatcher.dispatch( EventMessage( self.server, None, self.test_user, "convert unit remove name unit=unit1b added_name", ) ) data = self.server.get_send_data(1, self.test_user, EventMessage) assert 'removed name "added_name"' in data[0].text.lower() assert 'from "unit1b" unit' in data[0].text.lower() assert len(self.test_unit1b.name_list) == names1b - 1 def test_remove_by_unit_and_del_name_specifying_type(self): self.test_unit1b.add_name("added_name") self.test_unit2b.add_name("added_name") names1b = len(self.test_unit1b.name_list) names2b = len(self.test_unit2b.name_list) self.function_dispatcher.dispatch( EventMessage( self.server, None, self.test_user, "convert unit remove name unit=same_name del=added_name", ) ) data = self.server.get_send_data(1, self.test_user, EventMessage) assert "it is ambiguous which unit you refer to" in data[0].text.lower() assert len(self.test_unit1b.name_list) == names1b assert len(self.test_unit2b.name_list) == names2b self.function_dispatcher.dispatch( EventMessage( self.server, None, self.test_user, "convert unit remove name type=test_type1 unit=same_name del=added_name", ) ) data = self.server.get_send_data(1, self.test_user, EventMessage) assert 'removed name "added_name"' in data[0].text.lower() assert 'from "unit1b" unit' in data[0].text.lower() assert len(self.test_unit1b.name_list) == names1b - 1 assert len(self.test_unit2b.name_list) == names2b

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4.733283

0.06459

0.101461

0.063574

0.042382

0.935624

0.935303

0.931129

0.908974

0

0.021606

0.291237

10,579

251

90

42.14741

0.809149

0

0.678112

0

0.150109

0

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1

0.06867

false

0

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0.085837

0

null

0

1

0

null

0

6

7f8593e8e7b82f163c7b8036ced45a7e0b451eb8

69

py

Python

src/commercetools/importapi/__init__.py

lime-green/commercetools-python-sdk

63b77f6e5abe43e2b3ebbf3cdbbe00c7cf80dca6

[ "MIT" ]

1

2021-04-07T20:01:30.000Z

src/commercetools/platform/__init__.py

lime-green/commercetools-python-sdk

63b77f6e5abe43e2b3ebbf3cdbbe00c7cf80dca6

[ "MIT" ]

null

src/commercetools/platform/__init__.py

lime-green/commercetools-python-sdk

63b77f6e5abe43e2b3ebbf3cdbbe00c7cf80dca6

[ "MIT" ]

null

# Generated file, please do not change!!! from .client import Client

23

41

0.753623

10

69

5.2

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0.15942

69

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1

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true

0

1

0

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1

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1

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null

0

1

0

1

0

1

0

6

7f8d92a7557b5c60c61137a3f8300aee22ab0f91

1,625

py

Python

Pardee_Theme/build/lib/Pardee_Package/style_dictionaries.py

PardeeNerdy/Pardee_Visualization_Package

5dfa1a56adc45ef7c33e23ffeb8c9dec6b9a44ca

[ "MIT" ]

2

2020-07-09T14:02:27.000Z

2020-07-20T15:29:19.000Z

Pardee_Package/style_dictionaries.py

Coryv221/Pardee_Theme

32ebf18a3a5f0e7d37ac7bf773bc26efb807a5b3

[ "MIT" ]

null

Pardee_Package/style_dictionaries.py

Coryv221/Pardee_Theme

32ebf18a3a5f0e7d37ac7bf773bc26efb807a5b3

[ "MIT" ]

null

from Pardee_Package import color_palletes as pardee_colors standard_style = { 'axes.facecolor': pardee_colors.off_white(), 'axes.edgecolor': '.8', 'axes.grid': True, 'axes.axisbelow': True, 'axes.labelcolor': '.15', 'figure.facecolor': 'white', 'grid.color': '.8', 'grid.linestyle': '-', 'text.color': '.15', 'xtick.color': '.15', 'ytick.color': '.15', 'xtick.direction': 'out', 'ytick.direction': 'out', 'lines.solid_capstyle': 'round', 'patch.edgecolor': 'w', 'patch.force_edgecolor': True, 'image.cmap': 'rocket', 'font.family': ['Trebuchet MS'], 'font.Tebuchet MS': ['Trebuchet MS'], 'xtick.bottom': False, 'xtick.top': False, 'ytick.left': False, 'ytick.right': False, 'axes.spines.left': True, 'axes.spines.bottom': True, 'axes.spines.right': True, 'axes.spines.top': True } grayscale_style = { 'axes.facecolor': 'white', 'axes.edgecolor': '.8', 'axes.grid': True, 'axes.axisbelow': True, 'axes.labelcolor': '.15', 'figure.facecolor': 'white', 'grid.color': '.8', 'grid.linestyle': 'solid', 'text.color': '.15', 'xtick.color': '.15', 'ytick.color': '.15', 'xtick.direction': 'out', 'ytick.direction': 'out', 'lines.solid_capstyle': 'round', 'patch.edgecolor': 'w', 'patch.force_edgecolor': True, 'image.cmap': 'rocket', 'font.family': ['Times New Roman'], 'font.Times New Roman': ['Times New Roman'], 'xtick.bottom': False, 'xtick.top': False, 'ytick.left': False, 'ytick.right': False, 'axes.spines.left': True, 'axes.spines.bottom': True, 'axes.spines.right': True, 'axes.spines.top': True }

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null

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null

0

6

f6c5978aade9368dd85c8bdc559e0884425c1182

44

py

Python

menu/menu.py

cr33dog/pyxfce

ce3fa5e8c556e14a8127d67192484fe2f59b5595

[ "BSD-3-Clause" ]

4

2017-08-23T06:32:19.000Z

2019-11-05T09:59:24.000Z

menu/menu.py

cr33dog/pyxfce

ce3fa5e8c556e14a8127d67192484fe2f59b5595

[ "BSD-3-Clause" ]

null

menu/menu.py

cr33dog/pyxfce

ce3fa5e8c556e14a8127d67192484fe2f59b5595

[ "BSD-3-Clause" ]

2

2017-09-03T17:32:12.000Z

2021-02-27T20:12:34.000Z

#!/usr/bin/env python from _menu import *

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0

1

0

6

f6c781ad361787ef2ab3d5226e8437261d1b71de

34

py

Python

discord/types/guild.py

Harukomaze/disnake

541f5c9623a02be894cd1015dbb344070700cb87

[ "MIT" ]

null

discord/types/guild.py

Harukomaze/disnake

541f5c9623a02be894cd1015dbb344070700cb87

[ "MIT" ]

null

discord/types/guild.py

Harukomaze/disnake

541f5c9623a02be894cd1015dbb344070700cb87

[ "MIT" ]

null

from disnake.types.guild import *

17

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null

0

1

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0

1

0

6

f6c7cec1c8cacd806a59f473fdb3f8f816a8543b

8,334

py

Python

imageatm/client/client.py

vishalbelsare/imageatm

2da9d1902d375338e4363ebf95bcb8ac2bb47ac7

[ "Apache-2.0" ]

215

2019-03-18T10:51:53.000Z

2022-01-28T20:04:32.000Z

imageatm/client/client.py

vishalbelsare/imageatm

2da9d1902d375338e4363ebf95bcb8ac2bb47ac7

[ "Apache-2.0" ]

21

2019-03-19T09:13:20.000Z

2020-05-02T10:18:02.000Z

imageatm/client/client.py

vishalbelsare/imageatm

2da9d1902d375338e4363ebf95bcb8ac2bb47ac7

[ "Apache-2.0" ]

54

2019-03-18T16:39:37.000Z

2022-03-31T10:16:48.000Z

import click from imageatm.client import commands from imageatm.client.config import Config # creates config object that will be passed from cli to subcommands pass_config = click.make_pass_decorator(Config, ensure=True) # cli is the group parent, it gets run before any of the subcommands are run @click.group() @pass_config def cli(config: Config): pass @cli.command() @click.argument('config-file', type=click.Path()) @click.option('--image-dir', type=click.Path(), help='Directory with image files.') @click.option('--samples-file', type=click.Path(), help='JSON file with samples.') @click.option( '--job-dir', type=click.Path(), help=('Directory with train, val, and test samples files and class_mapping file.'), ) @click.option('--provider', help='Cloud provider, currently supported: [aws].') @click.option('--instance-type', help='Cloud instance_type [aws].') @click.option('--region', help='Cloud region [aws].') @click.option('--vpc-id', help='Cloud VPC id [aws].') @click.option('--bucket', help='Cloud bucket used for persistence [aws].') @click.option('--tf-dir', help='Directory with Terraform configs [aws].') @click.option('--train-cloud', is_flag=True, required=False, help='Run training in cloud [aws].') @click.option('--destroy', is_flag=True, required=False, help='Destroys cloud.') @click.option('--resize', is_flag=True, required=False, help='Resizes images in dataprep.') @click.option('--batch-size', type=int, help='Batch size.', required=False) @click.option( '--epochs-train-dense', type=int, help='Number of epochs train only dense layer.', required=False, ) @click.option( '--epochs-train-all', type=int, help='Number of epochs train all layers.', required=False ) @click.option( '--learning-rate-dense', type=float, help='Learning rate dense layers.', required=False ) @click.option('--learning-rate-all', type=float, help='Learning rate all layers.', required=False) @click.option( '--base-model-name', help='Pretrained CNN to be used for transfer learning.', required=False ) @click.option( '--create-report', is_flag=True, required=False, help='Create evaluation report via jupyter notebook.' ) @click.option( '--kernel-name', required=False, help='Kernel-name for juypter notebook.' ) @click.option( '--export-html', is_flag=True, required=False, help='Export evaluation report to html.' ) @click.option( '--export-pdf', is_flag=True, required=False, help='Export evaluation report to pdf.' ) @click.option( '--cloud-tag', help='Tag under which all cloud resources are created.', required=False ) @pass_config def pipeline(config: Config, **kwargs): """Runs all components for which run=True in config file. All activated (run=True) components from config file will be run in sequence. Options overwrite the config file. The config file is the only way to define pipeline components. Args: config-file: Central configuration file. """ commands.pipeline(config, **kwargs) @cli.command() @click.option('--config-file', type=click.Path(), help='Central configuration file.') @click.option('--image-dir', type=click.Path(), help='Directory with image files.') @click.option('--samples-file', type=click.Path(), help='JSON file with samples.') @click.option( '--job-dir', type=click.Path(), help=('Directory with train, val, and test samples files and class_mapping file.'), ) @click.option( '--resize', is_flag=True, required=False, help='Resizes images and stores them in _resized subfolder.', ) @pass_config def dataprep(config: Config, **kwargs): """Run data preparation and create job dir. Creates a directory (job_dir) with the following files: - train_samples.json - val_samples.json - test_samples.json - class_mapping.json """ commands.dataprep(config, **kwargs) @cli.command() @click.option('--config-file', type=click.Path(), help='Central configuration file.') @click.option('--image-dir', type=click.Path(), help='Directory with image files.') @click.option( '--job-dir', type=click.Path(), help=('Directory with train, val, and test samples files and class_mapping file.'), ) @click.option('--provider', help='Cloud provider, currently supported: [aws].') @click.option('--instance-type', help='Cloud instance_type [aws].') @click.option('--region', help='Cloud region [aws].') @click.option('--vpc-id', help='Cloud VPC id [aws].') @click.option('--bucket', help='Cloud bucket used for persistence [aws].') @click.option('--tf-dir', help='Directory with Terraform configs [aws].') @click.option('--train-cloud', is_flag=True, required=False, help='Run training in cloud [aws].') @click.option('--destroy', is_flag=True, required=False, help='Destroys cloud.') @click.option('--batch-size', type=int, help='Batch size.', required=False) @click.option( '--epochs-train-dense', type=int, help='Number of epochs train only dense layer.', required=False, ) @click.option( '--epochs-train-all', type=int, help='Number of epochs train all layers.', required=False ) @click.option( '--learning-rate-dense', type=float, help='Learning rate dense layers.', required=False ) @click.option('--learning-rate-all', type=float, help='Learning rate all layers.', required=False) @click.option( '--base-model-name', help='Pretrained CNN to be used for transfer learning.', required=False ) @click.option( '--cloud-tag', help='Tag under which all cloud resources are created.', required=False ) @pass_config def train(config: Config, **kwargs): """Train a CNN. Fine-tunes an ImageNet pre-trained CNN. The number of classes are derived from train_samples.json. After each epoch the model will be evaluated on val_samples.json. The best model (based on valuation accuracy) will be saved. Args: image_dir: Directory with image files. job_dir: Directory with train_samples, val_samples, and class_mapping.json. """ commands.train(config, **kwargs) @cli.command() @click.option('--config-file', type=click.Path(), help='Central configuration file.') @click.option('--image-dir', type=click.Path(), help='Directory with image files.') @click.option( '--job-dir', type=click.Path(), help=('Directory with test samples files and trained model.') ) @click.option( '--create-report', is_flag=True, required=False, help='Create evaluation report via jupyter notebook.' ) @click.option( '--kernel-name', required=False, help='Kernel-name for juypter notebook.' ) @click.option( '--export-html', is_flag=True, required=False, help='Export evaluation report to html.' ) @click.option( '--export-pdf', is_flag=True, required=False, help='Export evaluation report to pdf.' ) @pass_config def evaluate(config: Config, **kwargs): """Evaluate a trained model. Evaluation will be performed on test_samples.json. Args: image_dir: Directory with image files. job_dir: Directory with test_samples.json and class_mapping.json. """ commands.evaluate(config, **kwargs) @cli.command() @click.option('--config-file', type=click.Path(), help='Central configuration file.') @click.option( '--job-dir', type=click.Path(), help=('Directory with test samples files and trained model.') ) @click.option('--provider', help='Cloud provider, currently supported: [aws].') @click.option('--instance-type', help='Cloud instance_type [aws].') @click.option('--region', help='Cloud region [aws].') @click.option('--vpc-id', help='Cloud VPC id [aws].') @click.option('--bucket', help='Cloud bucket used for persistence [aws].') @click.option('--tf-dir', help='Directory with Terraform configs [aws].') @click.option('--train-cloud', is_flag=True, required=False, help='Run training in cloud [aws].') @click.option('--destroy', is_flag=True, required=False, help='Destroys cloud.') @click.option('--no-destroy', is_flag=True, required=False, help='Keeps cloud.') @click.option( '--cloud-tag', help='Tag under which all cloud resources are created.', required=False ) @pass_config def cloud(config: Config, **kwargs): """Launch/destroy a cloud compute instance. Launch/destroy cloud instances with Terraform based on Terraform files in tf_dir. """ commands.cloud(config, **kwargs)

37.881818

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8,334

5.074627

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0.044118

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8,334

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0

null

0

1

0

null

0

1

0

6

f6fc7a9842d38033883cba9e68743d74fa9d6c95

27

py

Python

src/euler_python_package/euler_python/medium/p163.py

wilsonify/euler

5214b776175e6d76a7c6d8915d0e062d189d9b79

[ "MIT" ]

null

src/euler_python_package/euler_python/medium/p163.py

wilsonify/euler

5214b776175e6d76a7c6d8915d0e062d189d9b79

[ "MIT" ]

null

src/euler_python_package/euler_python/medium/p163.py

wilsonify/euler

5214b776175e6d76a7c6d8915d0e062d189d9b79

[ "MIT" ]

null

def problem163(): pass

9

17

0.62963

3

27

5.666667

1

0

0.15

0.259259

27

2

18

13.5

0.7

0

1

0.5

true

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

6

1018d3e975f2c34ac98a81ddcbf5eebaf5f70c11

363

py

Python

tests/support/constants.py

calvdee/weather-network-7-day-forecast-scraper

805afa99fe0c42d3b45c7f059033921371e15808

[ "Unlicense", "MIT" ]

null

tests/support/constants.py

calvdee/weather-network-7-day-forecast-scraper

805afa99fe0c42d3b45c7f059033921371e15808

[ "Unlicense", "MIT" ]

null

tests/support/constants.py

calvdee/weather-network-7-day-forecast-scraper

805afa99fe0c42d3b45c7f059033921371e15808

[ "Unlicense", "MIT" ]

null

IMAGE_PATH = '/Users/calvindelima/code/weekly-rain-day-predictions/weather-network-7-day-forecast-scraper/tests/screenshot.png' WN_FORECAST_DATA_PATH = '/Users/calvindelima/code/weekly-rain-day-predictions/weather-network-7-day-forecast-scraper/tests/wn_forecast_data.csv' FORECAST_URL = 'https://www.theweathernetwork.com/ca/14-day-weather-trend/ontario/london'

90.75

144

0.829201

53

363

5.54717

0.566038

0.061224

0.142857

0.170068

0.591837

0

0.011299

0.024793

363

3

145

121

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0

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0.831956

0.633609

0

1

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false

0

null

0

1

0

1

0

1

0

1

null

0

6

63fa17771b6a68f644eea5a44617c0cd958bcecc

92

py

Python

pynobody/propagator.py

ookuyan/pynobody

70b784b4cbd7f967c58bb0e11f299ef30344006d

[ "Apache-2.0" ]

3

2020-06-23T20:10:08.000Z

2021-07-07T17:10:27.000Z

pynobody/propagator.py

ookuyan/pynobody

70b784b4cbd7f967c58bb0e11f299ef30344006d

[ "Apache-2.0" ]

null

pynobody/propagator.py

ookuyan/pynobody

70b784b4cbd7f967c58bb0e11f299ef30344006d

[ "Apache-2.0" ]

null

#!/usr/bin/env python import numpy as np def forward_euler(position, velocity): pass

11.5

38

0.717391

14

92

4.642857

1

0

0.184783

92

7

39

13.142857

0.866667

0.217391

0

1

0.333333

false

0.333333

0

0.666667

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null

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0

null

0

1

0

1

0

1

0

6

121db7107bbc1124dfa64d08bcf7cc3058bba5ca

23,783

py

Python

graphpype/utils_stats.py

EtienneCmb/graphpype

f19fdcd8e98660625a53c733ff8e44d60c31bd68

[ "BSD-3-Clause" ]

null

graphpype/utils_stats.py

EtienneCmb/graphpype

f19fdcd8e98660625a53c733ff8e44d60c31bd68

[ "BSD-3-Clause" ]

null

graphpype/utils_stats.py

EtienneCmb/graphpype

f19fdcd8e98660625a53c733ff8e44d60c31bd68

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- import scipy.stats as stat import numpy as np import itertools as it def info_CI(X,Y): """ Compute binomial comparaison """ nX = len(X) * 1. nY = len(Y) * 1. pX = np.sum(X == 1)/nX pY = np.sum(Y == 1)/nY #print pX,pY,np.absolute(pX-pY) SE = np.sqrt(pX * (1-pX)/nX + pY * (1-pY)/nY) #print SE #if (np.absolute(pX-pY) > norm) == True: #print pX,pY,np.absolute(pX-pY),norm return np.absolute(pX-pY),SE,np.sign(pX-pY) ###################################################################################### pairwise/nodewise stats ########################################################################################################### def return_signif_code(p_values,uncor_alpha = 0.05,fdr_alpha = 0.05,bon_alpha = 0.05): #print p_values #print uncor_alpha,fdr_alpha,bon_alpha N = p_values.shape[0] order = p_values.argsort() #print order sorted_p_values= p_values[order] #print sorted_p_values ### by default, code = 1 (cor at 0.05) signif_code = np.ones(shape = N) ################ uncor ############################# ### code = 0 for all correlation below uncor_alpha signif_code[p_values > uncor_alpha] = 0 #print p_values[p_values > uncor_alpha] #print p_values < uncor_alpha #print p_values == uncor_alpha ##print signif_code ################ FPcor ############################# if 1.0/N < uncor_alpha: signif_code[p_values < 1.0/N] = 2 ################ fdr ############################### seq = np.arange(N,0,-1) seq_fdr_p_values = fdr_alpha/seq #print seq_fdr_p_values signif_sorted = sorted_p_values < seq_fdr_p_values signif_code[order[signif_sorted]] = 3 ################# bonferroni ####################### signif_code[p_values < bon_alpha/N] = 4 #print signif_code return signif_code def return_signif_code_Z(Z_values,conf_interval_binom_fdr = 0.05): print(Z_values) N = Z_values.shape[0] order = Z_values.argsort() #order = np_list_diff[:,2].argsort() #print order #sort_np_list_diff = np_list_diff[order[::-1]] #print order sorted_Z_values= Z_values[order[::-1]] print(sorted_Z_values) ### by default, code = 1 (cor at 0.05) signif_code = np.ones(shape = N) ################ uncor ############################# ### code = 0 for all correlation below uncor_alpha Z_uncor = stat.norm.ppf(1-conf_interval_binom_fdr/2) print(Z_uncor) signif_code[Z_values < Z_uncor] = 0 print(np.sum(signif_code != 0)) ################ FPcor ############################# Z_FPcor = stat.norm.ppf(1-(1.0/(2*N))) print(Z_FPcor) signif_code[Z_values > Z_FPcor] = 2 print(np.sum(signif_code == 2)) ################ fdr ############################### seq = np.arange(N,0,-1) seq_fdr_p_values = conf_interval_binom_fdr/seq seq_Z_val = stat.norm.ppf(1-seq_fdr_p_values/2) #print seq_fdr_p_values signif_sorted = sorted_Z_values > seq_Z_val signif_code[order[signif_sorted]] = 3 print(np.sum(signif_code == 3)) ################# bonferroni ####################### Z_bon = stat.norm.ppf(1-conf_interval_binom_fdr/(2*N)) print(Z_bon) signif_code[Z_values > Z_bon] = 4 print(np.sum(signif_code == 4)) return signif_code ################################################ pairwise stats ########################################## def compute_pairwise_binom(X,Y,conf_interval_binom): # number of nodes N = X.shape[0] # Perform binomial test at each edge ADJ = np.zeros((N,N),dtype = 'int') for i,j in it.combinations(list(range(N)), 2): ADJ[i,j] = ADJ[j,i] = binom_CI_test(X[i,j,:],Y[i,j,:],conf_interval_binom) return ADJ def compute_pairwise_ttest_fdr(X,Y, cor_alpha, uncor_alpha, paired = True,old_order = True, keep_intracon = False): # number of nodes if old_order: N = X.shape[0] else: N = X.shape[1] if keep_intracon: iter_indexes = it.combinations_with_replacement(list(range(N)), 2) else: iter_indexes = it.combinations(list(range(N)), 2) if old_order: print(X.shape) list_diff = [] for i,j in iter_indexes: X_nonan = X[i,j,np.logical_not(np.isnan(X[i,j,:]))] Y_nonan = Y[i,j,np.logical_not(np.isnan(Y[i,j,:]))] #print len(X_nonan),len(Y_nonan) if len(X_nonan) < 2 or len(Y_nonan) < 2: #if len(X_nonan) < 1 or len(Y_nonan) < 1: #list_diff.append([i,j,1.0,0.0]) continue if paired == True: t_stat,p_val = stat.ttest_rel(X_nonan,Y_nonan) if np.isnan(p_val): print("Warning, unable to compute T-test: ") print(t_stat,p_val,X_nonan,Y_nonan) ## pas encore present (version scipy 0.18) #t_stat,p_val = stat.ttest_rel(X[i,j,:],Y[i,j,:],nan_policy = 'omit') else: t_stat,p_val = stat.ttest_ind(X_nonan,Y_nonan) #print t_stat,p_val list_diff.append([i,j,p_val,np.sign(np.mean(X_nonan)-np.mean(Y_nonan)),t_stat]) else: # number of nodes assert X.shape[1] == X.shape[2] and Y.shape[1] == Y.shape[2], "Error, X {}{} and/or Y {}{} are not squared".format(X.shape[1],X.shape[2], Y.shape[1], Y.shape[2]) if paired: assert X.shape[0] == Y.shape[0], "Error, X and Y are paired but do not have the same number od samples{}{}".format(X.shape[0],Y.shape[0]) #print X.shape list_diff = [] for i,j in iter_indexes: X_nonan = X[np.logical_not(np.isnan(X[:,i,j])),i,j] Y_nonan = Y[np.logical_not(np.isnan(Y[:,i,j])),i,j] #print len(X_nonan),len(Y_nonan) if len(X_nonan) < 2 or len(Y_nonan) < 2: #if len(X_nonan) < 1 or len(Y_nonan) < 1: #list_diff.append([i,j,1.0,0.0]) continue if paired == True: t_stat,p_val = stat.ttest_rel(X_nonan,Y_nonan) if np.isnan(p_val): print("Warning, unable to compute T-test: ") #print t_stat,p_val,X_nonan,Y_nonan ## pas encore present (version scipy 0.18) #t_stat,p_val = stat.ttest_rel(X[i,j,:],Y[i,j,:],nan_policy = 'omit') else: t_stat,p_val = stat.ttest_ind(X_nonan,Y_nonan) #print t_stat,p_val list_diff.append([i,j,p_val,np.sign(np.mean(X_nonan)-np.mean(Y_nonan)),t_stat]) #print list_diff assert len(list_diff) != 0, "Error, list_diff is empty" np_list_diff = np.array(list_diff) #print np_list_diff signif_code = return_signif_code(np_list_diff[:,2],uncor_alpha = uncor_alpha,fdr_alpha = cor_alpha, bon_alpha = cor_alpha) #print np.sum(signif_code == 0.0),np.sum(signif_code == 1.0),np.sum(signif_code == 2.0),np.sum(signif_code == 3.0),np.sum(signif_code == 4.0) np_list_diff[:,3] = np_list_diff[:,3] * signif_code #print np.sum(np_list_diff[:,3] == 0.0) #print np.sum(np_list_diff[:,3] == 1.0),np.sum(np_list_diff[:,3] == 2.0),np.sum(np_list_diff[:,3] == 3.0),np.sum(np_list_diff[:,3] == 4.0) #print np.sum(np_list_diff[:,3] == -1.0),np.sum(np_list_diff[:,3] == -2.0),np.sum(np_list_diff[:,3] == -3.0),np.sum(np_list_diff[:,3] == -4.0) signif_signed_adj_mat = np.zeros((N,N),dtype = 'int') p_val_mat = np.zeros((N,N),dtype = 'float') T_stat_mat = np.zeros((N,N),dtype = 'float') signif_i = np.array(np_list_diff[:,0],dtype = int) signif_j = np.array(np_list_diff[:,1],dtype = int) signif_signed_adj_mat[signif_i,signif_j] = signif_signed_adj_mat[signif_j,signif_i] = np.array(np_list_diff[:,3],dtype = int) p_val_mat[signif_i,signif_j] = p_val_mat[signif_j,signif_i] = np_list_diff[:,2] T_stat_mat[signif_i,signif_j] = T_stat_mat[signif_j,signif_i] = np_list_diff[:,4] #print T_stat_mat return signif_signed_adj_mat, p_val_mat, T_stat_mat def compute_pairwise_oneway_ttest_fdr(X, cor_alpha, uncor_alpha, old_order = True): if old_order: # number of nodes N = X.shape[0] #print X.shape list_diff = [] for i,j in it.combinations(list(range(N)), 2): X_nonan = X[i,j,np.logical_not(np.isnan(X[i,j,:]))] #print len(X_nonan),len(Y_nonan) if len(X_nonan) < 2 : #if len(X_nonan) < 1 or len(Y_nonan) < 1: #list_diff.append([i,j,1.0,0.0]) continue t_stat,p_val = stat.ttest_1samp(X_nonan,0.0) if np.isnan(p_val): print("Warning, unable to compute T-test: ") print(t_stat,p_val,X_nonan) list_diff.append([i,j,p_val,np.sign(np.mean(X_nonan)),t_stat]) else: # number of nodes assert X.shape[1] == X.shape[2] and Y.shape[1] == Y.shape[2], "Error, X {}{} and/or Y {}{} are not squared".format(X.shape[1],X.shape[2], Y.shape[1], Y.shape[2]) N = X.shape[1] if paired: assert X.shape[0] == Y.shape[0], "Error, X and Y are paired but do not have the same number od samples{}{}".format(X.shape[0],Y.shape[0]) #print X.shape list_diff = [] for i,j in it.combinations(list(range(N)), 2): X_nonan = X[np.logical_not(np.isnan(X[:,i,j])),i,j] #print len(X_nonan),len(Y_nonan) if len(X_nonan) < 2: #if len(X_nonan) < 1 or len(Y_nonan) < 1: #list_diff.append([i,j,1.0,0.0]) continue t_stat,p_val = stat.ttest_1samp(X_nonan,0.0) if np.isnan(p_val): print("Warning, unable to compute T-test: ") print(t_stat,p_val,X_nonan, end=' ') list_diff.append([i,j,p_val,np.sign(np.mean(X_nonan)),t_stat]) print(list_diff) assert len(list_diff) != 0, "Error, list_diff is empty" np_list_diff = np.array(list_diff) print(np_list_diff) signif_code = return_signif_code(np_list_diff[:,2],uncor_alpha = uncor_alpha,fdr_alpha = cor_alpha, bon_alpha = cor_alpha) print(np.sum(signif_code == 0.0),np.sum(signif_code == 1.0),np.sum(signif_code == 2.0),np.sum(signif_code == 3.0),np.sum(signif_code == 4.0)) np_list_diff[:,3] = np_list_diff[:,3] * signif_code print(np.sum(np_list_diff[:,3] == 0.0)) print(np.sum(np_list_diff[:,3] == 1.0),np.sum(np_list_diff[:,3] == 2.0),np.sum(np_list_diff[:,3] == 3.0),np.sum(np_list_diff[:,3] == 4.0)) print(np.sum(np_list_diff[:,3] == -1.0),np.sum(np_list_diff[:,3] == -2.0),np.sum(np_list_diff[:,3] == -3.0),np.sum(np_list_diff[:,3] == -4.0)) signif_signed_adj_mat = np.zeros((N,N),dtype = 'int') p_val_mat = np.zeros((N,N),dtype = 'float') T_stat_mat = np.zeros((N,N),dtype = 'float') signif_i = np.array(np_list_diff[:,0],dtype = int) signif_j = np.array(np_list_diff[:,1],dtype = int) signif_signed_adj_mat[signif_i,signif_j] = signif_signed_adj_mat[signif_j,signif_i] = np.array(np_list_diff[:,3],dtype = int) p_val_mat[signif_i,signif_j] = p_val_mat[signif_j,signif_i] = np_list_diff[:,2] T_stat_mat[signif_i,signif_j] = T_stat_mat[signif_j,signif_i] = np_list_diff[:,4] print(T_stat_mat) return signif_signed_adj_mat, p_val_mat, T_stat_mat def compute_pairwise_mannwhitney_fdr(X,Y,t_test_thresh_fdr,uncor_alpha = 0.01): # number of nodes N = X.shape[0] list_diff = [] for i,j in it.combinations(list(range(N)), 2): #t_stat_zalewski = ttest2(X[i,j,:],Y[i,j,:]) u_stat,p_val = stat.mannwhitneyu(X[i,j,:],Y[i,j,:],use_continuity = False) list_diff.append([i,j,p_val,np.sign(np.mean(X[i,j,:])-np.mean(Y[i,j,:]))]) #print list_diff np_list_diff = np.array(list_diff) signif_code = return_signif_code(np_list_diff[:,2],uncor_alpha = uncor_alpha,fdr_alpha = t_test_thresh_fdr, bon_alpha = 0.05) print(np.sum(signif_code == 0.0),np.sum(signif_code == 1.0),np.sum(signif_code == 2.0),np.sum(signif_code == 3.0),np.sum(signif_code == 4.0)) np_list_diff[:,3] = np_list_diff[:,3] * signif_code print(np.sum(np_list_diff[:,3] == 0.0)) print(np.sum(np_list_diff[:,3] == 1.0),np.sum(np_list_diff[:,3] == 2.0),np.sum(np_list_diff[:,3] == 3.0),np.sum(np_list_diff[:,3] == 4.0)) print(np.sum(np_list_diff[:,3] == -1.0),np.sum(np_list_diff[:,3] == -2.0),np.sum(np_list_diff[:,3] == -3.0),np.sum(np_list_diff[:,3] == -4.0)) signif_signed_adj_mat = np.zeros((N,N),dtype = 'int') signif_i = np.array(np_list_diff[:,0],dtype = int) signif_j = np.array(np_list_diff[:,1],dtype = int) signif_sign = np.array(np_list_diff[:,3],dtype = int) signif_signed_adj_mat[signif_i,signif_j] = signif_signed_adj_mat[signif_j,signif_i] = signif_sign #print signif_signed_adj_mat return signif_signed_adj_mat def compute_pairwise_binom_fdr(X,Y,conf_interval_binom_fdr): # number of nodes N = X.shape[0] # Perform binomial test at each edge list_diff = [] for i,j in it.combinations(list(range(N)), 2): abs_diff,SE,sign_diff = info_CI(X[i,j,:],Y[i,j,:]) list_diff.append([i,j,abs_diff/SE,sign_diff]) print(list_diff) np_list_diff = np.array(list_diff) signif_code = return_signif_code_Z(np_list_diff[:,2],conf_interval_binom_fdr) print(np.sum(signif_code == 0.0),np.sum(signif_code == 1.0),np.sum(signif_code == 2.0),np.sum(signif_code == 3.0),np.sum(signif_code == 4.0)) np_list_diff[:,3] = np_list_diff[:,3] * signif_code print(np.sum(np_list_diff[:,3] == 0.0)) print(np.sum(np_list_diff[:,3] == 1.0),np.sum(np_list_diff[:,3] == 2.0),np.sum(np_list_diff[:,3] == 3.0),np.sum(np_list_diff[:,3] == 4.0)) print(np.sum(np_list_diff[:,3] == -1.0),np.sum(np_list_diff[:,3] == -2.0),np.sum(np_list_diff[:,3] == -3.0),np.sum(np_list_diff[:,3] == -4.0)) signif_signed_adj_mat = np.zeros((N,N),dtype = 'int') signif_i = np.array(np_list_diff[:,0],dtype = int) signif_j = np.array(np_list_diff[:,1],dtype = int) signif_sign = np.array(np_list_diff[:,3],dtype = int) #print signif_i,signif_j #print signif_signed_adj_mat[signif_i,signif_j] #print signif_sign signif_signed_adj_mat[signif_i,signif_j] = signif_signed_adj_mat[signif_j,signif_i] = signif_sign #print signif_signed_adj_mat return signif_signed_adj_mat ############### OneWay Anova (F-test) def compute_oneway_anova_fwe(list_of_list_matrices,cor_alpha = 0.05, uncor_alpha = 0.001, keep_intracon = False): for group_mat in list_of_list_matrices: assert group_mat.shape[1] == group_mat.shape[2], "warning, matrices are not squared {} {}".format(group_mat.shape[1], group_mat.shape[2]) N = group_mat.shape[2] list_diff = [] if keep_intracon: iter_indexes = it.combinations_with_replacement(list(range(N)), 2) else: iter_indexes = it.combinations(list(range(N)), 2) for i,j in iter_indexes: #print i,j list_val = [group_mat[:,i,j].tolist() for group_mat in list_of_list_matrices] #print list_val F_stat,p_val = stat.f_oneway(*list_val) #print F_stat,p_val list_diff.append([i,j,p_val,F_stat]) ############### computing significance code ################ np_list_diff = np.array(list_diff) print(np_list_diff) signif_code = return_signif_code(np_list_diff[:,2],uncor_alpha = uncor_alpha, fdr_alpha = cor_alpha, bon_alpha = cor_alpha) signif_code[np.isnan(np_list_diff[:,2])] = 0 print(np.sum(signif_code == 0.0),np.sum(signif_code == 1.0),np.sum(signif_code == 2.0),np.sum(signif_code == 3.0),np.sum(signif_code == 4.0)) ################ converting to matrix signif_adj_mat = np.zeros((N,N),dtype = 'int') p_val_mat = np.zeros((N,N),dtype = 'float') F_stat_mat = np.zeros((N,N),dtype = 'float') signif_i = np.array(np_list_diff[:,0],dtype = int) signif_j = np.array(np_list_diff[:,1],dtype = int) signif_adj_mat[signif_i,signif_j] = signif_adj_mat[signif_j,signif_i] = signif_code p_val_mat[signif_i,signif_j] = p_val_mat[signif_i,signif_j] = np_list_diff[:,2] F_stat_mat[signif_i,signif_j] = F_stat_mat[signif_i,signif_j] = np_list_diff[:,3] #print signif_adj_mat #print p_val_mat #print F_stat_mat return signif_adj_mat, p_val_mat, F_stat_mat def compute_correl_behav(X, reg_interest,uncor_alpha = 0.001,cor_alpha = 0.05,old_order =False,keep_intracon = False): import numpy as np import itertools as it import scipy.stats as stat from graphpype.utils_stats import return_signif_code if old_order: N = X.shape[0] else: N = X.shape[1] print(reg_interest) print(reg_interest.dtype) if keep_intracon: iter_indexes = it.combinations_with_replacement(list(range(N)), 2) else: iter_indexes = it.combinations(list(range(N)), 2) if not old_order: # number of nodes assert X.shape[1] == X.shape[2] and "Error, X {}{} is not squared".format(X.shape[1],X.shape[2]) assert X.shape[0] == reg_interest.shape[0], "Incompatible number of fields in dataframe and nb matrices" list_diff = [] for i,j in iter_indexes: keep_val = (~np.isnan(X[:,i,j])) & (~np.isnan(reg_interest)) print(keep_val) r_stat,p_val = stat.pearsonr(X[keep_val,i,j],reg_interest[keep_val]) print(r_stat,p_val) if np.isnan(p_val): print("Warning, unable to compute T-test: ") print(r_stat,p_val,X_nonan,Y_nonan) ## pas encore present (version scipy 0.18) #t_stat,p_val = stat.ttest_rel(X[i,j,:],Y[i,j,:],nan_policy = 'omit') #print t_stat,p_val list_diff.append([i,j,p_val,np.sign(r_stat),r_stat]) print(list_diff) assert len(list_diff) != 0, "Error, list_diff is empty" np_list_diff = np.array(list_diff) print(np_list_diff) signif_code = return_signif_code(np_list_diff[:,2],uncor_alpha = uncor_alpha,fdr_alpha = cor_alpha, bon_alpha = cor_alpha) print(np.sum(signif_code == 0.0),np.sum(signif_code == 1.0),np.sum(signif_code == 2.0),np.sum(signif_code == 3.0),np.sum(signif_code == 4.0)) np_list_diff[:,3] = np_list_diff[:,3] * signif_code print(np.sum(np_list_diff[:,3] == 0.0)) print(np.sum(np_list_diff[:,3] == 1.0),np.sum(np_list_diff[:,3] == 2.0),np.sum(np_list_diff[:,3] == 3.0),np.sum(np_list_diff[:,3] == 4.0)) print(np.sum(np_list_diff[:,3] == -1.0),np.sum(np_list_diff[:,3] == -2.0),np.sum(np_list_diff[:,3] == -3.0),np.sum(np_list_diff[:,3] == -4.0)) signif_signed_adj_mat = np.zeros((N,N),dtype = 'int') p_val_mat = np.zeros((N,N),dtype = 'float') r_stat_mat = np.zeros((N,N),dtype = 'float') signif_i = np.array(np_list_diff[:,0],dtype = int) signif_j = np.array(np_list_diff[:,1],dtype = int) signif_signed_adj_mat[signif_i,signif_j] = signif_signed_adj_mat[signif_j,signif_i] = np.array(np_list_diff[:,3],dtype = int) p_val_mat[signif_i,signif_j] = p_val_mat[signif_j,signif_i] = np_list_diff[:,2] r_stat_mat[signif_i,signif_j] = r_stat_mat[signif_j,signif_i] = np_list_diff[:,4] print(r_stat_mat) return signif_signed_adj_mat, p_val_mat, r_stat_mat ############### nodewise stats ######################### def compute_nodewise_t_test_vect(d_stacked, nx, ny): print(d_stacked.shape) assert d_stacked.shape[1] == nx + ny t1 = time.time() t_val_vect = compute_nodewise_t_values(d_stacked[:,:nx],d_stacked[:,nx:nx+ny]) t2 = time.time() print("computation took %f" %(t2-t1)) return t_val_vect ######################## correl ###################################### def compute_pairwise_correl_fdr(X,behav_score,correl_thresh_fdr): from scipy.stats.stats import pearsonr # number of nodes N = X.shape[0] list_diff = [] for i,j in it.combinations(list(range(N)), 2): #t_stat_zalewski = ttest2(X[i,j,:],Y[i,j,:]) r_stat,p_val = pearsonr(X[i,j,:],behav_score) #print i,j,p_val,r_stat list_diff.append([i,j,p_val,np.sign(r_stat)]) #print list_diff np_list_diff = np.array(list_diff) np_list_diff = np.array(list_diff) signif_code = return_signif_code(np_list_diff[:,2],uncor_alpha = 0.001,fdr_alpha = correl_thresh_fdr, bon_alpha = 0.05) print(np.sum(signif_code == 0.0),np.sum(signif_code == 1.0),np.sum(signif_code == 2.0),np.sum(signif_code == 3.0),np.sum(signif_code == 4.0)) np_list_diff[:,3] = np_list_diff[:,3] * signif_code print(np.sum(np_list_diff[:,3] == 0.0)) print(np.sum(np_list_diff[:,3] == 1.0),np.sum(np_list_diff[:,3] == 2.0),np.sum(np_list_diff[:,3] == 3.0),np.sum(np_list_diff[:,3] == 4.0)) print(np.sum(np_list_diff[:,3] == -1.0),np.sum(np_list_diff[:,3] == -2.0),np.sum(np_list_diff[:,3] == -3.0),np.sum(np_list_diff[:,3] == -4.0)) signif_signed_adj_mat = np.zeros((N,N),dtype = 'int') signif_i = np.array(np_list_diff[:,0],dtype = int) signif_j = np.array(np_list_diff[:,1],dtype = int) signif_sign = np.array(np_list_diff[:,3],dtype = int) print(signif_i,signif_j) print(signif_signed_adj_mat[signif_i,signif_j]) #print signif_sign signif_signed_adj_mat[signif_i,signif_j] = signif_signed_adj_mat[signif_j,signif_i] = signif_sign print(signif_signed_adj_mat) return signif_signed_adj_mat

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12704f813166d4e41a218cad1e8026eac08d092e

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py

Python

sqlitely/grammar/SQLiteLexer.py

suurjaak/SQLitely

3be9611385d58fbe2548dda6f27c7380b50297ce

[ "MIT" ]

2

2020-08-29T01:31:12.000Z

2021-07-17T03:07:36.000Z

sqlitely/grammar/SQLiteLexer.py

suurjaak/SQLitely

3be9611385d58fbe2548dda6f27c7380b50297ce

[ "MIT" ]

1

2020-11-25T05:49:11.000Z

2020-11-25T10:40:20.000Z

sqlitely/grammar/SQLiteLexer.py

suurjaak/SQLitely

3be9611385d58fbe2548dda6f27c7380b50297ce

[ "MIT" ]

1

2022-02-16T13:12:14.000Z

# Generated from SQLite.g4 by ANTLR 4.8 # encoding: utf-8 from __future__ import print_function from antlr4 import * from io import StringIO import sys def serializedATN(): with StringIO() as buf: buf.write(u"\3\u608b\ua72a\u8133\ub9ed\u417c\u3be7\u7786\u5964\2") buf.write(u"\u00a0\u05c1\b\1\4\2\t\2\4\3\t\3\4\4\t\4\4\5\t\5\4\6") buf.write(u"\t\6\4\7\t\7\4\b\t\b\4\t\t\t\4\n\t\n\4\13\t\13\4\f\t") buf.write(u"\f\4\r\t\r\4\16\t\16\4\17\t\17\4\20\t\20\4\21\t\21\4") buf.write(u"\22\t\22\4\23\t\23\4\24\t\24\4\25\t\25\4\26\t\26\4\27") buf.write(u"\t\27\4\30\t\30\4\31\t\31\4\32\t\32\4\33\t\33\4\34\t") buf.write(u"\34\4\35\t\35\4\36\t\36\4\37\t\37\4 \t \4!\t!\4\"\t\"") buf.write(u"\4#\t#\4$\t$\4%\t%\4&\t&\4\'\t\'\4(\t(\4)\t)\4*\t*\4") buf.write(u"+\t+\4,\t,\4-\t-\4.\t.\4/\t/\4\60\t\60\4\61\t\61\4\62") buf.write(u"\t\62\4\63\t\63\4\64\t\64\4\65\t\65\4\66\t\66\4\67\t") buf.write(u"\67\48\t8\49\t9\4:\t:\4;\t;\4<\t<\4=\t=\4>\t>\4?\t?\4") 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buf.write(u"\2\u0bc4\2\u0bc8\2\u0bca\2\u0bcc\2\u0bce\2\u0bd2\2\u0bd2") buf.write(u"\2\u0bd9\2\u0bd9\2\u0c02\2\u0c05\2\u0c07\2\u0c0e\2\u0c10") buf.write(u"\2\u0c12\2\u0c14\2\u0c2a\2\u0c2c\2\u0c3b\2\u0c3f\2\u0c46") buf.write(u"\2\u0c48\2\u0c4a\2\u0c4c\2\u0c4e\2\u0c57\2\u0c58\2\u0c5a") buf.write(u"\2\u0c5c\2\u0c62\2\u0c65\2\u0c82\2\u0c85\2\u0c87\2\u0c8e") buf.write(u"\2\u0c90\2\u0c92\2\u0c94\2\u0caa\2\u0cac\2\u0cb5\2\u0cb7") buf.write(u"\2\u0cbb\2\u0cbf\2\u0cc6\2\u0cc8\2\u0cca\2\u0ccc\2\u0cce") buf.write(u"\2\u0cd7\2\u0cd8\2\u0ce0\2\u0ce0\2\u0ce2\2\u0ce5\2\u0cf3") buf.write(u"\2\u0cf4\2\u0d02\2\u0d05\2\u0d07\2\u0d0e\2\u0d10\2\u0d12") buf.write(u"\2\u0d14\2\u0d3c\2\u0d3f\2\u0d46\2\u0d48\2\u0d4a\2\u0d4c") buf.write(u"\2\u0d4e\2\u0d50\2\u0d50\2\u0d56\2\u0d59\2\u0d61\2\u0d65") buf.write(u"\2\u0d7c\2\u0d81\2\u0d84\2\u0d85\2\u0d87\2\u0d98\2\u0d9c") buf.write(u"\2\u0db3\2\u0db5\2\u0dbd\2\u0dbf\2\u0dbf\2\u0dc2\2\u0dc8") buf.write(u"\2\u0dd1\2\u0dd6\2\u0dd8\2\u0dd8\2\u0dda\2\u0de1\2\u0df4") buf.write(u"\2\u0df5\2\u0e03\2\u0e3c\2\u0e42\2\u0e48\2\u0e4f\2\u0e4f") buf.write(u"\2\u0e83\2\u0e84\2\u0e86\2\u0e86\2\u0e89\2\u0e8a\2\u0e8c") buf.write(u"\2\u0e8c\2\u0e8f\2\u0e8f\2\u0e96\2\u0e99\2\u0e9b\2\u0ea1") buf.write(u"\2\u0ea3\2\u0ea5\2\u0ea7\2\u0ea7\2\u0ea9\2\u0ea9\2\u0eac") buf.write(u"\2\u0ead\2\u0eaf\2\u0ebb\2\u0ebd\2\u0ebf\2\u0ec2\2\u0ec6") buf.write(u"\2\u0ec8\2\u0ec8\2\u0ecf\2\u0ecf\2\u0ede\2\u0ee1\2\u0f02") buf.write(u"\2\u0f02\2\u0f42\2\u0f49\2\u0f4b\2\u0f6e\2\u0f73\2\u0f83") buf.write(u"\2\u0f8a\2\u0f99\2\u0f9b\2\u0fbe\2\u1002\2\u1038\2\u103a") buf.write(u"\2\u103a\2\u103d\2\u1041\2\u1052\2\u1064\2\u1067\2\u106a") buf.write(u"\2\u1070\2\u1088\2\u1090\2\u1090\2\u109e\2\u109f\2\u10a2") buf.write(u"\2\u10c7\2\u10c9\2\u10c9\2\u10cf\2\u10cf\2\u10d2\2\u10fc") buf.write(u"\2\u10fe\2\u124a\2\u124c\2\u124f\2\u1252\2\u1258\2\u125a") buf.write(u"\2\u125a\2\u125c\2\u125f\2\u1262\2\u128a\2\u128c\2\u128f") buf.write(u"\2\u1292\2\u12b2\2\u12b4\2\u12b7\2\u12ba\2\u12c0\2\u12c2") 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buf.write(u"\2\u2d27\2\u2d29\2\u2d29\2\u2d2f\2\u2d2f\2\u2d32\2\u2d69") buf.write(u"\2\u2d71\2\u2d71\2\u2d82\2\u2d98\2\u2da2\2\u2da8\2\u2daa") buf.write(u"\2\u2db0\2\u2db2\2\u2db8\2\u2dba\2\u2dc0\2\u2dc2\2\u2dc8") buf.write(u"\2\u2dca\2\u2dd0\2\u2dd2\2\u2dd8\2\u2dda\2\u2de0\2\u2de2") buf.write(u"\2\u2e01\2\u2e31\2\u2e31\2\u3007\2\u3009\2\u3023\2\u302b") buf.write(u"\2\u3033\2\u3037\2\u303a\2\u303e\2\u3043\2\u3098\2\u309f") buf.write(u"\2\u30a1\2\u30a3\2\u30fc\2\u30fe\2\u3101\2\u3107\2\u3130") buf.write(u"\2\u3133\2\u3190\2\u31a2\2\u31bc\2\u31f2\2\u3201\2\u3402") buf.write(u"\2\u4db7\2\u4e02\2\u9fec\2\ua002\2\ua48e\2\ua4d2\2\ua4ff") buf.write(u"\2\ua502\2\ua60e\2\ua612\2\ua621\2\ua62c\2\ua62d\2\ua642") buf.write(u"\2\ua670\2\ua676\2\ua67d\2\ua681\2\ua6f1\2\ua719\2\ua721") buf.write(u"\2\ua724\2\ua78a\2\ua78d\2\ua7b0\2\ua7b2\2\ua7b9\2\ua7f9") buf.write(u"\2\ua803\2\ua805\2\ua807\2\ua809\2\ua80c\2\ua80e\2\ua829") buf.write(u"\2\ua842\2\ua875\2\ua882\2\ua8c5\2\ua8c7\2\ua8c7\2\ua8f4") buf.write(u"\2\ua8f9\2\ua8fd\2\ua8fd\2\ua8ff\2\ua8ff\2\ua90c\2\ua92c") buf.write(u"\2\ua932\2\ua954\2\ua962\2\ua97e\2\ua982\2\ua9b4\2\ua9b6") buf.write(u"\2\ua9c1\2\ua9d1\2\ua9d1\2\ua9e2\2\ua9e6\2\ua9e8\2\ua9f1") buf.write(u"\2\ua9fc\2\uaa00\2\uaa02\2\uaa38\2\uaa42\2\uaa4f\2\uaa62") buf.write(u"\2\uaa78\2\uaa7c\2\uaa7c\2\uaa80\2\uaac0\2\uaac2\2\uaac2") buf.write(u"\2\uaac4\2\uaac4\2\uaadd\2\uaadf\2\uaae2\2\uaaf1\2\uaaf4") buf.write(u"\2\uaaf7\2\uab03\2\uab08\2\uab0b\2\uab10\2\uab13\2\uab18") buf.write(u"\2\uab22\2\uab28\2\uab2a\2\uab30\2\uab32\2\uab5c\2\uab5e") buf.write(u"\2\uab67\2\uab72\2\uabec\2\uac02\2\ud7a5\2\ud7b2\2\ud7c8") buf.write(u"\2\ud7cd\2\ud7fd\2\uf902\2\ufa6f\2\ufa72\2\ufadb\2\ufb02") buf.write(u"\2\ufb08\2\ufb15\2\ufb19\2\ufb1f\2\ufb2a\2\ufb2c\2\ufb38") buf.write(u"\2\ufb3a\2\ufb3e\2\ufb40\2\ufb40\2\ufb42\2\ufb43\2\ufb45") buf.write(u"\2\ufb46\2\ufb48\2\ufbb3\2\ufbd5\2\ufd3f\2\ufd52\2\ufd91") buf.write(u"\2\ufd94\2\ufdc9\2\ufdf2\2\ufdfd\2\ufe72\2\ufe76\2\ufe78") buf.write(u"\2\ufefe\2\uff23\2\uff3c\2\uff43\2\uff5c\2\uff68\2\uffc0") buf.write(u"\2\uffc4\2\uffc9\2\uffcc\2\uffd1\2\uffd4\2\uffd9\2\uffdc") buf.write(u"\2\uffde\2\2\3\r\3\17\3(\3*\3<\3>\3?\3A\3O\3R\3_\3\u0082") buf.write(u"\3\u00fc\3\u0142\3\u0176\3\u0282\3\u029e\3\u02a2\3\u02d2") buf.write(u"\3\u0302\3\u0321\3\u032f\3\u034c\3\u0352\3\u037c\3\u0382") buf.write(u"\3\u039f\3\u03a2\3\u03c5\3\u03ca\3\u03d1\3\u03d3\3\u03d7") buf.write(u"\3\u0402\3\u049f\3\u04b2\3\u04d5\3\u04da\3\u04fd\3\u0502") buf.write(u"\3\u0529\3\u0532\3\u0565\3\u0602\3\u0738\3\u0742\3\u0757") buf.write(u"\3\u0762\3\u0769\3\u0802\3\u0807\3\u080a\3\u080a\3\u080c") buf.write(u"\3\u0837\3\u0839\3\u083a\3\u083e\3\u083e\3\u0841\3\u0857") buf.write(u"\3\u0862\3\u0878\3\u0882\3\u08a0\3\u08e2\3\u08f4\3\u08f6") buf.write(u"\3\u08f7\3\u0902\3\u0917\3\u0922\3\u093b\3\u0982\3\u09b9") buf.write(u"\3\u09c0\3\u09c1\3\u0a02\3\u0a05\3\u0a07\3\u0a08\3\u0a0e") buf.write(u"\3\u0a15\3\u0a17\3\u0a19\3\u0a1b\3\u0a35\3\u0a62\3\u0a7e") buf.write(u"\3\u0a82\3\u0a9e\3\u0ac2\3\u0ac9\3\u0acb\3\u0ae6\3\u0b02") buf.write(u"\3\u0b37\3\u0b42\3\u0b57\3\u0b62\3\u0b74\3\u0b82\3\u0b93") buf.write(u"\3\u0c02\3\u0c4a\3\u0c82\3\u0cb4\3\u0cc2\3\u0cf4\3\u1002") buf.write(u"\3\u1047\3\u1084\3\u10ba\3\u10d2\3\u10ea\3\u1102\3\u1134") buf.write(u"\3\u1152\3\u1174\3\u1178\3\u1178\3\u1182\3\u11c1\3\u11c3") buf.write(u"\3\u11c6\3\u11dc\3\u11dc\3\u11de\3\u11de\3\u1202\3\u1213") buf.write(u"\3\u1215\3\u1236\3\u1239\3\u1239\3\u1240\3\u1240\3\u1282") buf.write(u"\3\u1288\3\u128a\3\u128a\3\u128c\3\u128f\3\u1291\3\u129f") buf.write(u"\3\u12a1\3\u12aa\3\u12b2\3\u12ea\3\u1302\3\u1305\3\u1307") buf.write(u"\3\u130e\3\u1311\3\u1312\3\u1315\3\u132a\3\u132c\3\u1332") buf.write(u"\3\u1334\3\u1335\3\u1337\3\u133b\3\u133f\3\u1346\3\u1349") buf.write(u"\3\u134a\3\u134d\3\u134e\3\u1352\3\u1352\3\u1359\3\u1359") buf.write(u"\3\u135f\3\u1365\3\u1402\3\u1443\3\u1445\3\u1447\3\u1449") buf.write(u"\3\u144c\3\u1482\3\u14c3\3\u14c6\3\u14c7\3\u14c9\3\u14c9") buf.write(u"\3\u1582\3\u15b7\3\u15ba\3\u15c0\3\u15da\3\u15df\3\u1602") buf.write(u"\3\u1640\3\u1642\3\u1642\3\u1646\3\u1646\3\u1682\3\u16b7") buf.write(u"\3\u1702\3\u171b\3\u171f\3\u172c\3\u18a2\3\u18e1\3\u1901") buf.write(u"\3\u1901\3\u1a02\3\u1a34\3\u1a37\3\u1a40\3\u1a52\3\u1a85") buf.write(u"\3\u1a88\3\u1a99\3\u1ac2\3\u1afa\3\u1c02\3\u1c0a\3\u1c0c") buf.write(u"\3\u1c38\3\u1c3a\3\u1c40\3\u1c42\3\u1c42\3\u1c74\3\u1c91") buf.write(u"\3\u1c94\3\u1ca9\3\u1cab\3\u1cb8\3\u1d02\3\u1d08\3\u1d0a") buf.write(u"\3\u1d0b\3\u1d0d\3\u1d38\3\u1d3c\3\u1d3c\3\u1d3e\3\u1d3f") buf.write(u"\3\u1d41\3\u1d43\3\u1d45\3\u1d45\3\u1d48\3\u1d49\3\u2002") buf.write(u"\3\u239b\3\u2402\3\u2470\3\u2482\3\u2545\3\u3002\3\u3430") buf.write(u"\3\u4402\3\u4648\3\u6802\3\u6a3a\3\u6a42\3\u6a60\3\u6ad2") buf.write(u"\3\u6aef\3\u6b02\3\u6b38\3\u6b42\3\u6b45\3\u6b65\3\u6b79") buf.write(u"\3\u6b7f\3\u6b91\3\u6f02\3\u6f46\3\u6f52\3\u6f80\3\u6f95") buf.write(u"\3\u6fa1\3\u6fe2\3\u6fe3\3\u7002\3\u87ee\3\u8802\3\u8af4") buf.write(u"\3\ub002\3\ub120\3\ub172\3\ub2fd\3\ubc02\3\ubc6c\3\ubc72") buf.write(u"\3\ubc7e\3\ubc82\3\ubc8a\3\ubc92\3\ubc9b\3\ubca0\3\ubca0") buf.write(u"\3\ud402\3\ud456\3\ud458\3\ud49e\3\ud4a0\3\ud4a1\3\ud4a4") buf.write(u"\3\ud4a4\3\ud4a7\3\ud4a8\3\ud4ab\3\ud4ae\3\ud4b0\3\ud4bb") buf.write(u"\3\ud4bd\3\ud4bd\3\ud4bf\3\ud4c5\3\ud4c7\3\ud507\3\ud509") buf.write(u"\3\ud50c\3\ud50f\3\ud516\3\ud518\3\ud51e\3\ud520\3\ud53b") buf.write(u"\3\ud53d\3\ud540\3\ud542\3\ud546\3\ud548\3\ud548\3\ud54c") buf.write(u"\3\ud552\3\ud554\3\ud6a7\3\ud6aa\3\ud6c2\3\ud6c4\3\ud6dc") buf.write(u"\3\ud6de\3\ud6fc\3\ud6fe\3\ud716\3\ud718\3\ud736\3\ud738") buf.write(u"\3\ud750\3\ud752\3\ud770\3\ud772\3\ud78a\3\ud78c\3\ud7aa") buf.write(u"\3\ud7ac\3\ud7c4\3\ud7c6\3\ud7cd\3\ue002\3\ue008\3\ue00a") buf.write(u"\3\ue01a\3\ue01d\3\ue023\3\ue025\3\ue026\3\ue028\3\ue02c") buf.write(u"\3\ue802\3\ue8c6\3\ue902\3\ue945\3\ue949\3\ue949\3\uee02") buf.write(u"\3\uee05\3\uee07\3\uee21\3\uee23\3\uee24\3\uee26\3\uee26") buf.write(u"\3\uee29\3\uee29\3\uee2b\3\uee34\3\uee36\3\uee39\3\uee3b") buf.write(u"\3\uee3b\3\uee3d\3\uee3d\3\uee44\3\uee44\3\uee49\3\uee49") buf.write(u"\3\uee4b\3\uee4b\3\uee4d\3\uee4d\3\uee4f\3\uee51\3\uee53") buf.write(u"\3\uee54\3\uee56\3\uee56\3\uee59\3\uee59\3\uee5b\3\uee5b") buf.write(u"\3\uee5d\3\uee5d\3\uee5f\3\uee5f\3\uee61\3\uee61\3\uee63") buf.write(u"\3\uee64\3\uee66\3\uee66\3\uee69\3\uee6c\3\uee6e\3\uee74") buf.write(u"\3\uee76\3\uee79\3\uee7b\3\uee7e\3\uee80\3\uee80\3\uee82") buf.write(u"\3\uee8b\3\uee8d\3\uee9d\3\ueea3\3\ueea5\3\ueea7\3\ueeab") buf.write(u"\3\ueead\3\ueebd\3\uf132\3\uf14b\3\uf152\3\uf16b\3\uf172") buf.write(u"\3\uf18b\3\2\4\ua6d8\4\ua702\4\ub736\4\ub742\4\ub81f") buf.write(u"\4\ub822\4\ucea3\4\uceb2\4\uebe2\4\uf802\4\ufa1f\4\u02ba") buf.write(u"\2\62\2;\2C\2\\\2a\2a\2c\2|\2\u00ac\2\u00ac\2\u00b7\2") buf.write(u"\u00b7\2\u00bc\2\u00bc\2\u00c2\2\u00d8\2\u00da\2\u00f8") buf.write(u"\2\u00fa\2\u02c3\2\u02c8\2\u02d3\2\u02e2\2\u02e6\2\u02ee") buf.write(u"\2\u02ee\2\u02f0\2\u02f0\2\u0347\2\u0347\2\u0372\2\u0376") buf.write(u"\2\u0378\2\u0379\2\u037c\2\u037f\2\u0381\2\u0381\2\u0388") buf.write(u"\2\u0388\2\u038a\2\u038c\2\u038e\2\u038e\2\u0390\2\u03a3") buf.write(u"\2\u03a5\2\u03f7\2\u03f9\2\u0483\2\u048c\2\u0531\2\u0533") buf.write(u"\2\u0558\2\u055b\2\u055b\2\u0563\2\u0589\2\u05b2\2\u05bf") buf.write(u"\2\u05c1\2\u05c1\2\u05c3\2\u05c4\2\u05c6\2\u05c7\2\u05c9") buf.write(u"\2\u05c9\2\u05d2\2\u05ec\2\u05f2\2\u05f4\2\u0612\2\u061c") buf.write(u"\2\u0622\2\u0659\2\u065b\2\u066b\2\u0670\2\u06d5\2\u06d7") buf.write(u"\2\u06de\2\u06e3\2\u06ea\2\u06ef\2\u06fe\2\u0701\2\u0701") buf.write(u"\2\u0712\2\u0741\2\u074f\2\u07b3\2\u07c2\2\u07ec\2\u07f6") buf.write(u"\2\u07f7\2\u07fc\2\u07fc\2\u0802\2\u0819\2\u081c\2\u082e") buf.write(u"\2\u0842\2\u085a\2\u0862\2\u086c\2\u08a2\2\u08b6\2\u08b8") buf.write(u"\2\u08bf\2\u08d6\2\u08e1\2\u08e5\2\u08eb\2\u08f2\2\u093d") buf.write(u"\2\u093f\2\u094e\2\u0950\2\u0952\2\u0957\2\u0965\2\u0968") buf.write(u"\2\u0971\2\u0973\2\u0985\2\u0987\2\u098e\2\u0991\2\u0992") buf.write(u"\2\u0995\2\u09aa\2\u09ac\2\u09b2\2\u09b4\2\u09b4\2\u09b8") buf.write(u"\2\u09bb\2\u09bf\2\u09c6\2\u09c9\2\u09ca\2\u09cd\2\u09ce") buf.write(u"\2\u09d0\2\u09d0\2\u09d9\2\u09d9\2\u09de\2\u09df\2\u09e1") buf.write(u"\2\u09e5\2\u09e8\2\u09f3\2\u09fe\2\u09fe\2\u0a03\2\u0a05") buf.write(u"\2\u0a07\2\u0a0c\2\u0a11\2\u0a12\2\u0a15\2\u0a2a\2\u0a2c") buf.write(u"\2\u0a32\2\u0a34\2\u0a35\2\u0a37\2\u0a38\2\u0a3a\2\u0a3b") buf.write(u"\2\u0a40\2\u0a44\2\u0a49\2\u0a4a\2\u0a4d\2\u0a4e\2\u0a53") buf.write(u"\2\u0a53\2\u0a5b\2\u0a5e\2\u0a60\2\u0a60\2\u0a68\2\u0a77") buf.write(u"\2\u0a83\2\u0a85\2\u0a87\2\u0a8f\2\u0a91\2\u0a93\2\u0a95") buf.write(u"\2\u0aaa\2\u0aac\2\u0ab2\2\u0ab4\2\u0ab5\2\u0ab7\2\u0abb") buf.write(u"\2\u0abf\2\u0ac7\2\u0ac9\2\u0acb\2\u0acd\2\u0ace\2\u0ad2") buf.write(u"\2\u0ad2\2\u0ae2\2\u0ae5\2\u0ae8\2\u0af1\2\u0afb\2\u0afe") buf.write(u"\2\u0b03\2\u0b05\2\u0b07\2\u0b0e\2\u0b11\2\u0b12\2\u0b15") buf.write(u"\2\u0b2a\2\u0b2c\2\u0b32\2\u0b34\2\u0b35\2\u0b37\2\u0b3b") buf.write(u"\2\u0b3f\2\u0b46\2\u0b49\2\u0b4a\2\u0b4d\2\u0b4e\2\u0b58") buf.write(u"\2\u0b59\2\u0b5e\2\u0b5f\2\u0b61\2\u0b65\2\u0b68\2\u0b71") buf.write(u"\2\u0b73\2\u0b73\2\u0b84\2\u0b85\2\u0b87\2\u0b8c\2\u0b90") buf.write(u"\2\u0b92\2\u0b94\2\u0b97\2\u0b9b\2\u0b9c\2\u0b9e\2\u0b9e") buf.write(u"\2\u0ba0\2\u0ba1\2\u0ba5\2\u0ba6\2\u0baa\2\u0bac\2\u0bb0") buf.write(u"\2\u0bbb\2\u0bc0\2\u0bc4\2\u0bc8\2\u0bca\2\u0bcc\2\u0bce") buf.write(u"\2\u0bd2\2\u0bd2\2\u0bd9\2\u0bd9\2\u0be8\2\u0bf1\2\u0c02") buf.write(u"\2\u0c05\2\u0c07\2\u0c0e\2\u0c10\2\u0c12\2\u0c14\2\u0c2a") buf.write(u"\2\u0c2c\2\u0c3b\2\u0c3f\2\u0c46\2\u0c48\2\u0c4a\2\u0c4c") buf.write(u"\2\u0c4e\2\u0c57\2\u0c58\2\u0c5a\2\u0c5c\2\u0c62\2\u0c65") buf.write(u"\2\u0c68\2\u0c71\2\u0c82\2\u0c85\2\u0c87\2\u0c8e\2\u0c90") buf.write(u"\2\u0c92\2\u0c94\2\u0caa\2\u0cac\2\u0cb5\2\u0cb7\2\u0cbb") buf.write(u"\2\u0cbf\2\u0cc6\2\u0cc8\2\u0cca\2\u0ccc\2\u0cce\2\u0cd7") buf.write(u"\2\u0cd8\2\u0ce0\2\u0ce0\2\u0ce2\2\u0ce5\2\u0ce8\2\u0cf1") buf.write(u"\2\u0cf3\2\u0cf4\2\u0d02\2\u0d05\2\u0d07\2\u0d0e\2\u0d10") buf.write(u"\2\u0d12\2\u0d14\2\u0d3c\2\u0d3f\2\u0d46\2\u0d48\2\u0d4a") buf.write(u"\2\u0d4c\2\u0d4e\2\u0d50\2\u0d50\2\u0d56\2\u0d59\2\u0d61") buf.write(u"\2\u0d65\2\u0d68\2\u0d71\2\u0d7c\2\u0d81\2\u0d84\2\u0d85") buf.write(u"\2\u0d87\2\u0d98\2\u0d9c\2\u0db3\2\u0db5\2\u0dbd\2\u0dbf") buf.write(u"\2\u0dbf\2\u0dc2\2\u0dc8\2\u0dd1\2\u0dd6\2\u0dd8\2\u0dd8") buf.write(u"\2\u0dda\2\u0de1\2\u0de8\2\u0df1\2\u0df4\2\u0df5\2\u0e03") buf.write(u"\2\u0e3c\2\u0e42\2\u0e48\2\u0e4f\2\u0e4f\2\u0e52\2\u0e5b") buf.write(u"\2\u0e83\2\u0e84\2\u0e86\2\u0e86\2\u0e89\2\u0e8a\2\u0e8c") buf.write(u"\2\u0e8c\2\u0e8f\2\u0e8f\2\u0e96\2\u0e99\2\u0e9b\2\u0ea1") buf.write(u"\2\u0ea3\2\u0ea5\2\u0ea7\2\u0ea7\2\u0ea9\2\u0ea9\2\u0eac") buf.write(u"\2\u0ead\2\u0eaf\2\u0ebb\2\u0ebd\2\u0ebf\2\u0ec2\2\u0ec6") buf.write(u"\2\u0ec8\2\u0ec8\2\u0ecf\2\u0ecf\2\u0ed2\2\u0edb\2\u0ede") buf.write(u"\2\u0ee1\2\u0f02\2\u0f02\2\u0f22\2\u0f2b\2\u0f42\2\u0f49") buf.write(u"\2\u0f4b\2\u0f6e\2\u0f73\2\u0f83\2\u0f8a\2\u0f99\2\u0f9b") buf.write(u"\2\u0fbe\2\u1002\2\u1038\2\u103a\2\u103a\2\u103d\2\u104b") buf.write(u"\2\u1052\2\u1064\2\u1067\2\u106a\2\u1070\2\u1088\2\u1090") buf.write(u"\2\u1090\2\u1092\2\u109b\2\u109e\2\u109f\2\u10a2\2\u10c7") buf.write(u"\2\u10c9\2\u10c9\2\u10cf\2\u10cf\2\u10d2\2\u10fc\2\u10fe") buf.write(u"\2\u124a\2\u124c\2\u124f\2\u1252\2\u1258\2\u125a\2\u125a") buf.write(u"\2\u125c\2\u125f\2\u1262\2\u128a\2\u128c\2\u128f\2\u1292") buf.write(u"\2\u12b2\2\u12b4\2\u12b7\2\u12ba\2\u12c0\2\u12c2\2\u12c2") buf.write(u"\2\u12c4\2\u12c7\2\u12ca\2\u12d8\2\u12da\2\u1312\2\u1314") buf.write(u"\2\u1317\2\u131a\2\u135c\2\u1361\2\u1361\2\u1382\2\u1391") buf.write(u"\2\u13a2\2\u13f7\2\u13fa\2\u13ff\2\u1403\2\u166e\2\u1671") buf.write(u"\2\u1681\2\u1683\2\u169c\2\u16a2\2\u16ec\2\u16f0\2\u16fa") buf.write(u"\2\u1702\2\u170e\2\u1710\2\u1715\2\u1722\2\u1735\2\u1742") buf.write(u"\2\u1755\2\u1762\2\u176e\2\u1770\2\u1772\2\u1774\2\u1775") buf.write(u"\2\u1782\2\u17b5\2\u17b8\2\u17ca\2\u17d9\2\u17d9\2\u17de") buf.write(u"\2\u17de\2\u17e2\2\u17eb\2\u1812\2\u181b\2\u1822\2\u1879") buf.write(u"\2\u1882\2\u18ac\2\u18b2\2\u18f7\2\u1902\2\u1920\2\u1922") buf.write(u"\2\u192d\2\u1932\2\u193a\2\u1948\2\u196f\2\u1972\2\u1976") buf.write(u"\2\u1982\2\u19ad\2\u19b2\2\u19cb\2\u19d2\2\u19db\2\u1a02") buf.write(u"\2\u1a1d\2\u1a22\2\u1a60\2\u1a63\2\u1a76\2\u1a82\2\u1a8b") buf.write(u"\2\u1a92\2\u1a9b\2\u1aa9\2\u1aa9\2\u1b02\2\u1b35\2\u1b37") buf.write(u"\2\u1b45\2\u1b47\2\u1b4d\2\u1b52\2\u1b5b\2\u1b82\2\u1bab") buf.write(u"\2\u1bae\2\u1be7\2\u1be9\2\u1bf3\2\u1c02\2\u1c37\2\u1c42") buf.write(u"\2\u1c4b\2\u1c4f\2\u1c7f\2\u1c82\2\u1c8a\2\u1ceb\2\u1cee") buf.write(u"\2\u1cf0\2\u1cf5\2\u1cf7\2\u1cf8\2\u1d02\2\u1dc1\2\u1de9") buf.write(u"\2\u1df6\2\u1e02\2\u1f17\2\u1f1a\2\u1f1f\2\u1f22\2\u1f47") buf.write(u"\2\u1f4a\2\u1f4f\2\u1f52\2\u1f59\2\u1f5b\2\u1f5b\2\u1f5d") buf.write(u"\2\u1f5d\2\u1f5f\2\u1f5f\2\u1f61\2\u1f7f\2\u1f82\2\u1fb6") buf.write(u"\2\u1fb8\2\u1fbe\2\u1fc0\2\u1fc0\2\u1fc4\2\u1fc6\2\u1fc8") buf.write(u"\2\u1fce\2\u1fd2\2\u1fd5\2\u1fd8\2\u1fdd\2\u1fe2\2\u1fee") buf.write(u"\2\u1ff4\2\u1ff6\2\u1ff8\2\u1ffe\2\u2073\2\u2073\2\u2081") buf.write(u"\2\u2081\2\u2092\2\u209e\2\u2104\2\u2104\2\u2109\2\u2109") buf.write(u"\2\u210c\2\u2115\2\u2117\2\u2117\2\u211b\2\u211f\2\u2126") buf.write(u"\2\u2126\2\u2128\2\u2128\2\u212a\2\u212a\2\u212c\2\u212f") buf.write(u"\2\u2131\2\u213b\2\u213e\2\u2141\2\u2147\2\u214b\2\u2150") buf.write(u"\2\u2150\2\u2162\2\u218a\2\u24b8\2\u24eb\2\u2c02\2\u2c30") buf.write(u"\2\u2c32\2\u2c60\2\u2c62\2\u2ce6\2\u2ced\2\u2cf0\2\u2cf4") buf.write(u"\2\u2cf5\2\u2d02\2\u2d27\2\u2d29\2\u2d29\2\u2d2f\2\u2d2f") buf.write(u"\2\u2d32\2\u2d69\2\u2d71\2\u2d71\2\u2d82\2\u2d98\2\u2da2") buf.write(u"\2\u2da8\2\u2daa\2\u2db0\2\u2db2\2\u2db8\2\u2dba\2\u2dc0") buf.write(u"\2\u2dc2\2\u2dc8\2\u2dca\2\u2dd0\2\u2dd2\2\u2dd8\2\u2dda") buf.write(u"\2\u2de0\2\u2de2\2\u2e01\2\u2e31\2\u2e31\2\u3007\2\u3009") buf.write(u"\2\u3023\2\u302b\2\u3033\2\u3037\2\u303a\2\u303e\2\u3043") buf.write(u"\2\u3098\2\u309f\2\u30a1\2\u30a3\2\u30fc\2\u30fe\2\u3101") buf.write(u"\2\u3107\2\u3130\2\u3133\2\u3190\2\u31a2\2\u31bc\2\u31f2") buf.write(u"\2\u3201\2\u3402\2\u4db7\2\u4e02\2\u9fec\2\ua002\2\ua48e") buf.write(u"\2\ua4d2\2\ua4ff\2\ua502\2\ua60e\2\ua612\2\ua62d\2\ua642") buf.write(u"\2\ua670\2\ua676\2\ua67d\2\ua681\2\ua6f1\2\ua719\2\ua721") buf.write(u"\2\ua724\2\ua78a\2\ua78d\2\ua7b0\2\ua7b2\2\ua7b9\2\ua7f9") buf.write(u"\2\ua803\2\ua805\2\ua807\2\ua809\2\ua80c\2\ua80e\2\ua829") buf.write(u"\2\ua842\2\ua875\2\ua882\2\ua8c5\2\ua8c7\2\ua8c7\2\ua8d2") buf.write(u"\2\ua8db\2\ua8f4\2\ua8f9\2\ua8fd\2\ua8fd\2\ua8ff\2\ua8ff") buf.write(u"\2\ua902\2\ua92c\2\ua932\2\ua954\2\ua962\2\ua97e\2\ua982") buf.write(u"\2\ua9b4\2\ua9b6\2\ua9c1\2\ua9d1\2\ua9db\2\ua9e2\2\ua9e6") buf.write(u"\2\ua9e8\2\uaa00\2\uaa02\2\uaa38\2\uaa42\2\uaa4f\2\uaa52") buf.write(u"\2\uaa5b\2\uaa62\2\uaa78\2\uaa7c\2\uaa7c\2\uaa80\2\uaac0") buf.write(u"\2\uaac2\2\uaac2\2\uaac4\2\uaac4\2\uaadd\2\uaadf\2\uaae2") buf.write(u"\2\uaaf1\2\uaaf4\2\uaaf7\2\uab03\2\uab08\2\uab0b\2\uab10") buf.write(u"\2\uab13\2\uab18\2\uab22\2\uab28\2\uab2a\2\uab30\2\uab32") buf.write(u"\2\uab5c\2\uab5e\2\uab67\2\uab72\2\uabec\2\uabf2\2\uabfb") buf.write(u"\2\uac02\2\ud7a5\2\ud7b2\2\ud7c8\2\ud7cd\2\ud7fd\2\uf902") buf.write(u"\2\ufa6f\2\ufa72\2\ufadb\2\ufb02\2\ufb08\2\ufb15\2\ufb19") buf.write(u"\2\ufb1f\2\ufb2a\2\ufb2c\2\ufb38\2\ufb3a\2\ufb3e\2\ufb40") buf.write(u"\2\ufb40\2\ufb42\2\ufb43\2\ufb45\2\ufb46\2\ufb48\2\ufbb3") buf.write(u"\2\ufbd5\2\ufd3f\2\ufd52\2\ufd91\2\ufd94\2\ufdc9\2\ufdf2") buf.write(u"\2\ufdfd\2\ufe72\2\ufe76\2\ufe78\2\ufefe\2\uff12\2\uff1b") buf.write(u"\2\uff23\2\uff3c\2\uff43\2\uff5c\2\uff68\2\uffc0\2\uffc4") buf.write(u"\2\uffc9\2\uffcc\2\uffd1\2\uffd4\2\uffd9\2\uffdc\2\uffde") buf.write(u"\2\2\3\r\3\17\3(\3*\3<\3>\3?\3A\3O\3R\3_\3\u0082\3\u00fc") buf.write(u"\3\u0142\3\u0176\3\u0282\3\u029e\3\u02a2\3\u02d2\3\u0302") buf.write(u"\3\u0321\3\u032f\3\u034c\3\u0352\3\u037c\3\u0382\3\u039f") buf.write(u"\3\u03a2\3\u03c5\3\u03ca\3\u03d1\3\u03d3\3\u03d7\3\u0402") buf.write(u"\3\u049f\3\u04a2\3\u04ab\3\u04b2\3\u04d5\3\u04da\3\u04fd") buf.write(u"\3\u0502\3\u0529\3\u0532\3\u0565\3\u0602\3\u0738\3\u0742") buf.write(u"\3\u0757\3\u0762\3\u0769\3\u0802\3\u0807\3\u080a\3\u080a") buf.write(u"\3\u080c\3\u0837\3\u0839\3\u083a\3\u083e\3\u083e\3\u0841") buf.write(u"\3\u0857\3\u0862\3\u0878\3\u0882\3\u08a0\3\u08e2\3\u08f4") buf.write(u"\3\u08f6\3\u08f7\3\u0902\3\u0917\3\u0922\3\u093b\3\u0982") buf.write(u"\3\u09b9\3\u09c0\3\u09c1\3\u0a02\3\u0a05\3\u0a07\3\u0a08") buf.write(u"\3\u0a0e\3\u0a15\3\u0a17\3\u0a19\3\u0a1b\3\u0a35\3\u0a62") buf.write(u"\3\u0a7e\3\u0a82\3\u0a9e\3\u0ac2\3\u0ac9\3\u0acb\3\u0ae6") buf.write(u"\3\u0b02\3\u0b37\3\u0b42\3\u0b57\3\u0b62\3\u0b74\3\u0b82") buf.write(u"\3\u0b93\3\u0c02\3\u0c4a\3\u0c82\3\u0cb4\3\u0cc2\3\u0cf4") buf.write(u"\3\u1002\3\u1047\3\u1068\3\u1071\3\u1084\3\u10ba\3\u10d2") buf.write(u"\3\u10ea\3\u10f2\3\u10fb\3\u1102\3\u1134\3\u1138\3\u1141") buf.write(u"\3\u1152\3\u1174\3\u1178\3\u1178\3\u1182\3\u11c1\3\u11c3") buf.write(u"\3\u11c6\3\u11d2\3\u11dc\3\u11de\3\u11de\3\u1202\3\u1213") buf.write(u"\3\u1215\3\u1236\3\u1239\3\u1239\3\u1240\3\u1240\3\u1282") buf.write(u"\3\u1288\3\u128a\3\u128a\3\u128c\3\u128f\3\u1291\3\u129f") buf.write(u"\3\u12a1\3\u12aa\3\u12b2\3\u12ea\3\u12f2\3\u12fb\3\u1302") buf.write(u"\3\u1305\3\u1307\3\u130e\3\u1311\3\u1312\3\u1315\3\u132a") buf.write(u"\3\u132c\3\u1332\3\u1334\3\u1335\3\u1337\3\u133b\3\u133f") buf.write(u"\3\u1346\3\u1349\3\u134a\3\u134d\3\u134e\3\u1352\3\u1352") buf.write(u"\3\u1359\3\u1359\3\u135f\3\u1365\3\u1402\3\u1443\3\u1445") buf.write(u"\3\u1447\3\u1449\3\u144c\3\u1452\3\u145b\3\u1482\3\u14c3") buf.write(u"\3\u14c6\3\u14c7\3\u14c9\3\u14c9\3\u14d2\3\u14db\3\u1582") buf.write(u"\3\u15b7\3\u15ba\3\u15c0\3\u15da\3\u15df\3\u1602\3\u1640") buf.write(u"\3\u1642\3\u1642\3\u1646\3\u1646\3\u1652\3\u165b\3\u1682") buf.write(u"\3\u16b7\3\u16c2\3\u16cb\3\u1702\3\u171b\3\u171f\3\u172c") buf.write(u"\3\u1732\3\u173b\3\u18a2\3\u18eb\3\u1901\3\u1901\3\u1a02") buf.write(u"\3\u1a34\3\u1a37\3\u1a40\3\u1a52\3\u1a85\3\u1a88\3\u1a99") buf.write(u"\3\u1ac2\3\u1afa\3\u1c02\3\u1c0a\3\u1c0c\3\u1c38\3\u1c3a") buf.write(u"\3\u1c40\3\u1c42\3\u1c42\3\u1c52\3\u1c5b\3\u1c74\3\u1c91") buf.write(u"\3\u1c94\3\u1ca9\3\u1cab\3\u1cb8\3\u1d02\3\u1d08\3\u1d0a") buf.write(u"\3\u1d0b\3\u1d0d\3\u1d38\3\u1d3c\3\u1d3c\3\u1d3e\3\u1d3f") buf.write(u"\3\u1d41\3\u1d43\3\u1d45\3\u1d45\3\u1d48\3\u1d49\3\u1d52") buf.write(u"\3\u1d5b\3\u2002\3\u239b\3\u2402\3\u2470\3\u2482\3\u2545") buf.write(u"\3\u3002\3\u3430\3\u4402\3\u4648\3\u6802\3\u6a3a\3\u6a42") buf.write(u"\3\u6a60\3\u6a62\3\u6a6b\3\u6ad2\3\u6aef\3\u6b02\3\u6b38") buf.write(u"\3\u6b42\3\u6b45\3\u6b52\3\u6b5b\3\u6b65\3\u6b79\3\u6b7f") buf.write(u"\3\u6b91\3\u6f02\3\u6f46\3\u6f52\3\u6f80\3\u6f95\3\u6fa1") 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buf.write(u"\3\2\2\2\u02dd\u02de\5\u0149\u00a5\2\u02de\u02df\5\u0165") buf.write(u"\u00b3\2\u02df\u02e0\5\u0145\u00a3\2\u02e0\u02e1\5\u0141") buf.write(u"\u00a1\2\u02e1\u02e2\5\u015f\u00b0\2\u02e2\u02e3\5\u0149") buf.write(u"\u00a5\2\u02e3\u0088\3\2\2\2\u02e4\u02e5\5\u0149\u00a5") buf.write(u"\2\u02e5\u02e6\5\u016f\u00b8\2\u02e6\u02e7\5\u0145\u00a3") buf.write(u"\2\u02e7\u02e8\5\u0149\u00a5\2\u02e8\u02e9\5\u015f\u00b0") buf.write(u"\2\u02e9\u02ea\5\u0167\u00b4\2\u02ea\u008a\3\2\2\2\u02eb") buf.write(u"\u02ec\5\u0149\u00a5\2\u02ec\u02ed\5\u016f\u00b8\2\u02ed") buf.write(u"\u02ee\5\u0145\u00a3\2\u02ee\u02ef\5\u0157\u00ac\2\u02ef") buf.write(u"\u02f0\5\u0169\u00b5\2\u02f0\u02f1\5\u0165\u00b3\2\u02f1") buf.write(u"\u02f2\5\u0151\u00a9\2\u02f2\u02f3\5\u016b\u00b6\2\u02f3") buf.write(u"\u02f4\5\u0149\u00a5\2\u02f4\u008c\3\2\2\2\u02f5\u02f6") buf.write(u"\5\u0149\u00a5\2\u02f6\u02f7\5\u016f\u00b8\2\u02f7\u02f8") buf.write(u"\5\u0151\u00a9\2\u02f8\u02f9\5\u0165\u00b3\2\u02f9\u02fa") buf.write(u"\5\u0167\u00b4\2\u02fa\u02fb\5\u0165\u00b3\2\u02fb\u008e") buf.write(u"\3\2\2\2\u02fc\u02fd\5\u0149\u00a5\2\u02fd\u02fe\5\u016f") buf.write(u"\u00b8\2\u02fe\u02ff\5\u015f\u00b0\2\u02ff\u0300\5\u0157") buf.write(u"\u00ac\2\u0300\u0301\5\u0141\u00a1\2\u0301\u0302\5\u0151") buf.write(u"\u00a9\2\u0302\u0303\5\u015b\u00ae\2\u0303\u0090\3\2") buf.write(u"\2\2\u0304\u0305\5\u014b\u00a6\2\u0305\u0306\5\u0141") buf.write(u"\u00a1\2\u0306\u0307\5\u0151\u00a9\2\u0307\u0308\5\u0157") buf.write(u"\u00ac\2\u0308\u0092\3\2\2\2\u0309\u030a\5\u014b\u00a6") buf.write(u"\2\u030a\u030b\5\u015d\u00af\2\u030b\u030c\5\u0163\u00b2") buf.write(u"\2\u030c\u0094\3\2\2\2\u030d\u030e\5\u014b\u00a6\2\u030e") buf.write(u"\u030f\5\u015d\u00af\2\u030f\u0310\5\u0163\u00b2\2\u0310") buf.write(u"\u0311\5\u0149\u00a5\2\u0311\u0312\5\u0151\u00a9\2\u0312") buf.write(u"\u0313\5\u014d\u00a7\2\u0313\u0314\5\u015b\u00ae\2\u0314") buf.write(u"\u0096\3\2\2\2\u0315\u0316\5\u014b\u00a6\2\u0316\u0317") buf.write(u"\5\u0163\u00b2\2\u0317\u0318\5\u015d\u00af\2\u0318\u0319") buf.write(u"\5\u0159\u00ad\2\u0319\u0098\3\2\2\2\u031a\u031b\5\u014b") buf.write(u"\u00a6\2\u031b\u031c\5\u0169\u00b5\2\u031c\u031d\5\u0157") buf.write(u"\u00ac\2\u031d\u031e\5\u0157\u00ac\2\u031e\u009a\3\2") buf.write(u"\2\2\u031f\u0320\5\u014d\u00a7\2\u0320\u0321\5\u0157") buf.write(u"\u00ac\2\u0321\u0322\5\u015d\u00af\2\u0322\u0323\5\u0143") buf.write(u"\u00a2\2\u0323\u009c\3\2\2\2\u0324\u0325\5\u014d\u00a7") buf.write(u"\2\u0325\u0326\5\u0163\u00b2\2\u0326\u0327\5\u015d\u00af") buf.write(u"\2\u0327\u0328\5\u0169\u00b5\2\u0328\u0329\5\u015f\u00b0") buf.write(u"\2\u0329\u009e\3\2\2\2\u032a\u032b\5\u014f\u00a8\2\u032b") buf.write(u"\u032c\5\u0141\u00a1\2\u032c\u032d\5\u016b\u00b6\2\u032d") buf.write(u"\u032e\5\u0151\u00a9\2\u032e\u032f\5\u015b\u00ae\2\u032f") buf.write(u"\u0330\5\u014d\u00a7\2\u0330\u00a0\3\2\2\2\u0331\u0332") buf.write(u"\5\u0151\u00a9\2\u0332\u0333\5\u014b\u00a6\2\u0333\u00a2") buf.write(u"\3\2\2\2\u0334\u0335\5\u0151\u00a9\2\u0335\u0336\5\u014d") buf.write(u"\u00a7\2\u0336\u0337\5\u015b\u00ae\2\u0337\u0338\5\u015d") buf.write(u"\u00af\2\u0338\u0339\5\u0163\u00b2\2\u0339\u033a\5\u0149") buf.write(u"\u00a5\2\u033a\u00a4\3\2\2\2\u033b\u033c\5\u0151\u00a9") buf.write(u"\2\u033c\u033d\5\u0159\u00ad\2\u033d\u033e\5\u0159\u00ad") buf.write(u"\2\u033e\u033f\5\u0149\u00a5\2\u033f\u0340\5\u0147\u00a4") buf.write(u"\2\u0340\u0341\5\u0151\u00a9\2\u0341\u0342\5\u0141\u00a1") buf.write(u"\2\u0342\u0343\5\u0167\u00b4\2\u0343\u0344\5\u0149\u00a5") buf.write(u"\2\u0344\u00a6\3\2\2\2\u0345\u0346\5\u0151\u00a9\2\u0346") buf.write(u"\u0347\5\u015b\u00ae\2\u0347\u00a8\3\2\2\2\u0348\u0349") buf.write(u"\5\u0151\u00a9\2\u0349\u034a\5\u015b\u00ae\2\u034a\u034b") buf.write(u"\5\u0147\u00a4\2\u034b\u034c\5\u0149\u00a5\2\u034c\u034d") buf.write(u"\5\u016f\u00b8\2\u034d\u00aa\3\2\2\2\u034e\u034f\5\u0151") buf.write(u"\u00a9\2\u034f\u0350\5\u015b\u00ae\2\u0350\u0351\5\u0147") buf.write(u"\u00a4\2\u0351\u0352\5\u0149\u00a5\2\u0352\u0353\5\u016f") buf.write(u"\u00b8\2\u0353\u0354\5\u0149\u00a5\2\u0354\u0355\5\u0147") buf.write(u"\u00a4\2\u0355\u00ac\3\2\2\2\u0356\u0357\5\u0151\u00a9") buf.write(u"\2\u0357\u0358\5\u015b\u00ae\2\u0358\u0359\5\u0151\u00a9") buf.write(u"\2\u0359\u035a\5\u0167\u00b4\2\u035a\u035b\5\u0151\u00a9") buf.write(u"\2\u035b\u035c\5\u0141\u00a1\2\u035c\u035d\5\u0157\u00ac") buf.write(u"\2\u035d\u035e\5\u0157\u00ac\2\u035e\u035f\5\u0171\u00b9") buf.write(u"\2\u035f\u00ae\3\2\2\2\u0360\u0361\5\u0151\u00a9\2\u0361") buf.write(u"\u0362\5\u015b\u00ae\2\u0362\u0363\5\u015b\u00ae\2\u0363") buf.write(u"\u0364\5\u0149\u00a5\2\u0364\u0365\5\u0163\u00b2\2\u0365") buf.write(u"\u00b0\3\2\2\2\u0366\u0367\5\u0151\u00a9\2\u0367\u0368") buf.write(u"\5\u015b\u00ae\2\u0368\u0369\5\u0165\u00b3\2\u0369\u036a") buf.write(u"\5\u0149\u00a5\2\u036a\u036b\5\u0163\u00b2\2\u036b\u036c") buf.write(u"\5\u0167\u00b4\2\u036c\u00b2\3\2\2\2\u036d\u036e\5\u0151") buf.write(u"\u00a9\2\u036e\u036f\5\u015b\u00ae\2\u036f\u0370\5\u0165") buf.write(u"\u00b3\2\u0370\u0371\5\u0167\u00b4\2\u0371\u0372\5\u0149") buf.write(u"\u00a5\2\u0372\u0373\5\u0141\u00a1\2\u0373\u0374\5\u0147") buf.write(u"\u00a4\2\u0374\u00b4\3\2\2\2\u0375\u0376\5\u0151\u00a9") buf.write(u"\2\u0376\u0377\5\u015b\u00ae\2\u0377\u0378\5\u0167\u00b4") buf.write(u"\2\u0378\u0379\5\u0149\u00a5\2\u0379\u037a\5\u0163\u00b2") buf.write(u"\2\u037a\u037b\5\u0165\u00b3\2\u037b\u037c\5\u0149\u00a5") buf.write(u"\2\u037c\u037d\5\u0145\u00a3\2\u037d\u037e\5\u0167\u00b4") buf.write(u"\2\u037e\u00b6\3\2\2\2\u037f\u0380\5\u0151\u00a9\2\u0380") buf.write(u"\u0381\5\u015b\u00ae\2\u0381\u0382\5\u0167\u00b4\2\u0382") buf.write(u"\u0383\5\u015d\u00af\2\u0383\u00b8\3\2\2\2\u0384\u0385") buf.write(u"\5\u0151\u00a9\2\u0385\u0386\5\u0165\u00b3\2\u0386\u00ba") buf.write(u"\3\2\2\2\u0387\u0388\5\u0151\u00a9\2\u0388\u0389\5\u0165") buf.write(u"\u00b3\2\u0389\u038a\5\u015b\u00ae\2\u038a\u038b\5\u0169") buf.write(u"\u00b5\2\u038b\u038c\5\u0157\u00ac\2\u038c\u038d\5\u0157") buf.write(u"\u00ac\2\u038d\u00bc\3\2\2\2\u038e\u038f\5\u0153\u00aa") buf.write(u"\2\u038f\u0390\5\u015d\u00af\2\u0390\u0391\5\u0151\u00a9") buf.write(u"\2\u0391\u0392\5\u015b\u00ae\2\u0392\u00be\3\2\2\2\u0393") buf.write(u"\u0394\5\u0155\u00ab\2\u0394\u0395\5\u0149\u00a5\2\u0395") buf.write(u"\u0396\5\u0171\u00b9\2\u0396\u00c0\3\2\2\2\u0397\u0398") buf.write(u"\5\u0157\u00ac\2\u0398\u0399\5\u0149\u00a5\2\u0399\u039a") buf.write(u"\5\u014b\u00a6\2\u039a\u039b\5\u0167\u00b4\2\u039b\u00c2") buf.write(u"\3\2\2\2\u039c\u039d\5\u0157\u00ac\2\u039d\u039e\5\u0151") buf.write(u"\u00a9\2\u039e\u039f\5\u0155\u00ab\2\u039f\u03a0\5\u0149") buf.write(u"\u00a5\2\u03a0\u00c4\3\2\2\2\u03a1\u03a2\5\u0157\u00ac") buf.write(u"\2\u03a2\u03a3\5\u0151\u00a9\2\u03a3\u03a4\5\u0159\u00ad") buf.write(u"\2\u03a4\u03a5\5\u0151\u00a9\2\u03a5\u03a6\5\u0167\u00b4") buf.write(u"\2\u03a6\u00c6\3\2\2\2\u03a7\u03a8\5\u0159\u00ad\2\u03a8") buf.write(u"\u03a9\5\u0141\u00a1\2\u03a9\u03aa\5\u0167\u00b4\2\u03aa") buf.write(u"\u03ab\5\u0145\u00a3\2\u03ab\u03ac\5\u014f\u00a8\2\u03ac") buf.write(u"\u00c8\3\2\2\2\u03ad\u03ae\5\u015b\u00ae\2\u03ae\u03af") buf.write(u"\5\u0141\u00a1\2\u03af\u03b0\5\u0167\u00b4\2\u03b0\u03b1") buf.write(u"\5\u0169\u00b5\2\u03b1\u03b2\5\u0163\u00b2\2\u03b2\u03b3") buf.write(u"\5\u0141\u00a1\2\u03b3\u03b4\5\u0157\u00ac\2\u03b4\u00ca") buf.write(u"\3\2\2\2\u03b5\u03b6\5\u015b\u00ae\2\u03b6\u03b7\5\u015d") buf.write(u"\u00af\2\u03b7\u00cc\3\2\2\2\u03b8\u03b9\5\u015b\u00ae") buf.write(u"\2\u03b9\u03ba\5\u015d\u00af\2\u03ba\u03bb\5\u0167\u00b4") buf.write(u"\2\u03bb\u00ce\3\2\2\2\u03bc\u03bd\5\u015b\u00ae\2\u03bd") buf.write(u"\u03be\5\u015d\u00af\2\u03be\u03bf\5\u0167\u00b4\2\u03bf") buf.write(u"\u03c0\5\u015b\u00ae\2\u03c0\u03c1\5\u0169\u00b5\2\u03c1") buf.write(u"\u03c2\5\u0157\u00ac\2\u03c2\u03c3\5\u0157\u00ac\2\u03c3") buf.write(u"\u00d0\3\2\2\2\u03c4\u03c5\5\u015b\u00ae\2\u03c5\u03c6") buf.write(u"\5\u0169\u00b5\2\u03c6\u03c7\5\u0157\u00ac\2\u03c7\u03c8") buf.write(u"\5\u0157\u00ac\2\u03c8\u00d2\3\2\2\2\u03c9\u03ca\5\u015d") buf.write(u"\u00af\2\u03ca\u03cb\5\u014b\u00a6\2\u03cb\u00d4\3\2") buf.write(u"\2\2\u03cc\u03cd\5\u015d\u00af\2\u03cd\u03ce\5\u014b") buf.write(u"\u00a6\2\u03ce\u03cf\5\u014b\u00a6\2\u03cf\u03d0\5\u0165") buf.write(u"\u00b3\2\u03d0\u03d1\5\u0149\u00a5\2\u03d1\u03d2\5\u0167") buf.write(u"\u00b4\2\u03d2\u00d6\3\2\2\2\u03d3\u03d4\5\u015d\u00af") buf.write(u"\2\u03d4\u03d5\5\u015b\u00ae\2\u03d5\u00d8\3\2\2\2\u03d6") buf.write(u"\u03d7\5\u015d\u00af\2\u03d7\u03d8\5\u0163\u00b2\2\u03d8") buf.write(u"\u00da\3\2\2\2\u03d9\u03da\5\u015d\u00af\2\u03da\u03db") buf.write(u"\5\u0163\u00b2\2\u03db\u03dc\5\u0147\u00a4\2\u03dc\u03dd") buf.write(u"\5\u0149\u00a5\2\u03dd\u03de\5\u0163\u00b2\2\u03de\u00dc") buf.write(u"\3\2\2\2\u03df\u03e0\5\u015d\u00af\2\u03e0\u03e1\5\u0169") buf.write(u"\u00b5\2\u03e1\u03e2\5\u0167\u00b4\2\u03e2\u03e3\5\u0149") buf.write(u"\u00a5\2\u03e3\u03e4\5\u0163\u00b2\2\u03e4\u00de\3\2") buf.write(u"\2\2\u03e5\u03e6\5\u015f\u00b0\2\u03e6\u03e7\5\u0157") buf.write(u"\u00ac\2\u03e7\u03e8\5\u0141\u00a1\2\u03e8\u03e9\5\u015b") buf.write(u"\u00ae\2\u03e9\u00e0\3\2\2\2\u03ea\u03eb\5\u015f\u00b0") buf.write(u"\2\u03eb\u03ec\5\u0163\u00b2\2\u03ec\u03ed\5\u0141\u00a1") buf.write(u"\2\u03ed\u03ee\5\u014d\u00a7\2\u03ee\u03ef\5\u0159\u00ad") buf.write(u"\2\u03ef\u03f0\5\u0141\u00a1\2\u03f0\u00e2\3\2\2\2\u03f1") buf.write(u"\u03f2\5\u015f\u00b0\2\u03f2\u03f3\5\u0163\u00b2\2\u03f3") buf.write(u"\u03f4\5\u0151\u00a9\2\u03f4\u03f5\5\u0159\u00ad\2\u03f5") buf.write(u"\u03f6\5\u0141\u00a1\2\u03f6\u03f7\5\u0163\u00b2\2\u03f7") buf.write(u"\u03f8\5\u0171\u00b9\2\u03f8\u00e4\3\2\2\2\u03f9\u03fa") buf.write(u"\5\u0161\u00b1\2\u03fa\u03fb\5\u0169\u00b5\2\u03fb\u03fc") buf.write(u"\5\u0149\u00a5\2\u03fc\u03fd\5\u0163\u00b2\2\u03fd\u03fe") buf.write(u"\5\u0171\u00b9\2\u03fe\u00e6\3\2\2\2\u03ff\u0400\5\u0163") buf.write(u"\u00b2\2\u0400\u0401\5\u0141\u00a1\2\u0401\u0402\5\u0151") buf.write(u"\u00a9\2\u0402\u0403\5\u0165\u00b3\2\u0403\u0404\5\u0149") buf.write(u"\u00a5\2\u0404\u00e8\3\2\2\2\u0405\u0406\5\u0163\u00b2") buf.write(u"\2\u0406\u0407\5\u0149\u00a5\2\u0407\u0408\5\u0145\u00a3") buf.write(u"\2\u0408\u0409\5\u0169\u00b5\2\u0409\u040a\5\u0163\u00b2") buf.write(u"\2\u040a\u040b\5\u0165\u00b3\2\u040b\u040c\5\u0151\u00a9") buf.write(u"\2\u040c\u040d\5\u016b\u00b6\2\u040d\u040e\5\u0149\u00a5") buf.write(u"\2\u040e\u00ea\3\2\2\2\u040f\u0410\5\u0163\u00b2\2\u0410") buf.write(u"\u0411\5\u0149\u00a5\2\u0411\u0412\5\u014b\u00a6\2\u0412") buf.write(u"\u0413\5\u0149\u00a5\2\u0413\u0414\5\u0163\u00b2\2\u0414") buf.write(u"\u0415\5\u0149\u00a5\2\u0415\u0416\5\u015b\u00ae\2\u0416") buf.write(u"\u0417\5\u0145\u00a3\2\u0417\u0418\5\u0149\u00a5\2\u0418") buf.write(u"\u0419\5\u0165\u00b3\2\u0419\u00ec\3\2\2\2\u041a\u041b") buf.write(u"\5\u0163\u00b2\2\u041b\u041c\5\u0149\u00a5\2\u041c\u041d") buf.write(u"\5\u014d\u00a7\2\u041d\u041e\5\u0149\u00a5\2\u041e\u041f") buf.write(u"\5\u016f\u00b8\2\u041f\u0420\5\u015f\u00b0\2\u0420\u00ee") buf.write(u"\3\2\2\2\u0421\u0422\5\u0163\u00b2\2\u0422\u0423\5\u0149") buf.write(u"\u00a5\2\u0423\u0424\5\u0151\u00a9\2\u0424\u0425\5\u015b") buf.write(u"\u00ae\2\u0425\u0426\5\u0147\u00a4\2\u0426\u0427\5\u0149") buf.write(u"\u00a5\2\u0427\u0428\5\u016f\u00b8\2\u0428\u00f0\3\2") buf.write(u"\2\2\u0429\u042a\5\u0163\u00b2\2\u042a\u042b\5\u0149") buf.write(u"\u00a5\2\u042b\u042c\5\u0157\u00ac\2\u042c\u042d\5\u0149") buf.write(u"\u00a5\2\u042d\u042e\5\u0141\u00a1\2\u042e\u042f\5\u0165") buf.write(u"\u00b3\2\u042f\u0430\5\u0149\u00a5\2\u0430\u00f2\3\2") buf.write(u"\2\2\u0431\u0432\5\u0163\u00b2\2\u0432\u0433\5\u0149") buf.write(u"\u00a5\2\u0433\u0434\5\u015b\u00ae\2\u0434\u0435\5\u0141") buf.write(u"\u00a1\2\u0435\u0436\5\u0159\u00ad\2\u0436\u0437\5\u0149") buf.write(u"\u00a5\2\u0437\u00f4\3\2\2\2\u0438\u0439\5\u0163\u00b2") buf.write(u"\2\u0439\u043a\5\u0149\u00a5\2\u043a\u043b\5\u015f\u00b0") buf.write(u"\2\u043b\u043c\5\u0157\u00ac\2\u043c\u043d\5\u0141\u00a1") buf.write(u"\2\u043d\u043e\5\u0145\u00a3\2\u043e\u043f\5\u0149\u00a5") buf.write(u"\2\u043f\u00f6\3\2\2\2\u0440\u0441\5\u0163\u00b2\2\u0441") buf.write(u"\u0442\5\u0149\u00a5\2\u0442\u0443\5\u0165\u00b3\2\u0443") buf.write(u"\u0444\5\u0167\u00b4\2\u0444\u0445\5\u0163\u00b2\2\u0445") buf.write(u"\u0446\5\u0151\u00a9\2\u0446\u0447\5\u0145\u00a3\2\u0447") buf.write(u"\u0448\5\u0167\u00b4\2\u0448\u00f8\3\2\2\2\u0449\u044a") buf.write(u"\5\u0163\u00b2\2\u044a\u044b\5\u0151\u00a9\2\u044b\u044c") buf.write(u"\5\u014d\u00a7\2\u044c\u044d\5\u014f\u00a8\2\u044d\u044e") buf.write(u"\5\u0167\u00b4\2\u044e\u00fa\3\2\2\2\u044f\u0450\5\u0163") buf.write(u"\u00b2\2\u0450\u0451\5\u015d\u00af\2\u0451\u0452\5\u0157") buf.write(u"\u00ac\2\u0452\u0453\5\u0157\u00ac\2\u0453\u0454\5\u0143") buf.write(u"\u00a2\2\u0454\u0455\5\u0141\u00a1\2\u0455\u0456\5\u0145") buf.write(u"\u00a3\2\u0456\u0457\5\u0155\u00ab\2\u0457\u00fc\3\2") buf.write(u"\2\2\u0458\u0459\5\u0163\u00b2\2\u0459\u045a\5\u015d") buf.write(u"\u00af\2\u045a\u045b\5\u016d\u00b7\2\u045b\u00fe\3\2") buf.write(u"\2\2\u045c\u045d\5\u0165\u00b3\2\u045d\u045e\5\u0141") buf.write(u"\u00a1\2\u045e\u045f\5\u016b\u00b6\2\u045f\u0460\5\u0149") buf.write(u"\u00a5\2\u0460\u0461\5\u015f\u00b0\2\u0461\u0462\5\u015d") buf.write(u"\u00af\2\u0462\u0463\5\u0151\u00a9\2\u0463\u0464\5\u015b") buf.write(u"\u00ae\2\u0464\u0465\5\u0167\u00b4\2\u0465\u0100\3\2") buf.write(u"\2\2\u0466\u0467\5\u0165\u00b3\2\u0467\u0468\5\u0149") buf.write(u"\u00a5\2\u0468\u0469\5\u0157\u00ac\2\u0469\u046a\5\u0149") buf.write(u"\u00a5\2\u046a\u046b\5\u0145\u00a3\2\u046b\u046c\5\u0167") buf.write(u"\u00b4\2\u046c\u0102\3\2\2\2\u046d\u046e\5\u0165\u00b3") buf.write(u"\2\u046e\u046f\5\u0149\u00a5\2\u046f\u0470\5\u0167\u00b4") buf.write(u"\2\u0470\u0104\3\2\2\2\u0471\u0472\5\u0167\u00b4\2\u0472") buf.write(u"\u0473\5\u0141\u00a1\2\u0473\u0474\5\u0143\u00a2\2\u0474") buf.write(u"\u0475\5\u0157\u00ac\2\u0475\u0476\5\u0149\u00a5\2\u0476") buf.write(u"\u0106\3\2\2\2\u0477\u0478\5\u0167\u00b4\2\u0478\u0479") buf.write(u"\5\u0149\u00a5\2\u0479\u047a\5\u0159\u00ad\2\u047a\u047b") buf.write(u"\5\u015f\u00b0\2\u047b\u0108\3\2\2\2\u047c\u047d\5\u0167") buf.write(u"\u00b4\2\u047d\u047e\5\u0149\u00a5\2\u047e\u047f\5\u0159") buf.write(u"\u00ad\2\u047f\u0480\5\u015f\u00b0\2\u0480\u0481\5\u015d") buf.write(u"\u00af\2\u0481\u0482\5\u0163\u00b2\2\u0482\u0483\5\u0141") buf.write(u"\u00a1\2\u0483\u0484\5\u0163\u00b2\2\u0484\u0485\5\u0171") buf.write(u"\u00b9\2\u0485\u010a\3\2\2\2\u0486\u0487\5\u0167\u00b4") buf.write(u"\2\u0487\u0488\5\u014f\u00a8\2\u0488\u0489\5\u0149\u00a5") buf.write(u"\2\u0489\u048a\5\u015b\u00ae\2\u048a\u010c\3\2\2\2\u048b") buf.write(u"\u048c\5\u0167\u00b4\2\u048c\u048d\5\u015d\u00af\2\u048d") buf.write(u"\u010e\3\2\2\2\u048e\u048f\5\u0167\u00b4\2\u048f\u0490") buf.write(u"\5\u0163\u00b2\2\u0490\u0491\5\u0141\u00a1\2\u0491\u0492") buf.write(u"\5\u015b\u00ae\2\u0492\u0493\5\u0165\u00b3\2\u0493\u0494") buf.write(u"\5\u0141\u00a1\2\u0494\u0495\5\u0145\u00a3\2\u0495\u0496") buf.write(u"\5\u0167\u00b4\2\u0496\u0497\5\u0151\u00a9\2\u0497\u0498") buf.write(u"\5\u015d\u00af\2\u0498\u0499\5\u015b\u00ae\2\u0499\u0110") buf.write(u"\3\2\2\2\u049a\u049b\5\u0167\u00b4\2\u049b\u049c\5\u0163") buf.write(u"\u00b2\2\u049c\u049d\5\u0151\u00a9\2\u049d\u049e\5\u014d") buf.write(u"\u00a7\2\u049e\u049f\5\u014d\u00a7\2\u049f\u04a0\5\u0149") buf.write(u"\u00a5\2\u04a0\u04a1\5\u0163\u00b2\2\u04a1\u0112\3\2") buf.write(u"\2\2\u04a2\u04a3\5\u0169\u00b5\2\u04a3\u04a4\5\u015b") buf.write(u"\u00ae\2\u04a4\u04a5\5\u0151\u00a9\2\u04a5\u04a6\5\u015d") buf.write(u"\u00af\2\u04a6\u04a7\5\u015b\u00ae\2\u04a7\u0114\3\2") buf.write(u"\2\2\u04a8\u04a9\5\u0169\u00b5\2\u04a9\u04aa\5\u015b") buf.write(u"\u00ae\2\u04aa\u04ab\5\u0151\u00a9\2\u04ab\u04ac\5\u0161") buf.write(u"\u00b1\2\u04ac\u04ad\5\u0169\u00b5\2\u04ad\u04ae\5\u0149") buf.write(u"\u00a5\2\u04ae\u0116\3\2\2\2\u04af\u04b0\5\u0169\u00b5") buf.write(u"\2\u04b0\u04b1\5\u015f\u00b0\2\u04b1\u04b2\5\u0147\u00a4") buf.write(u"\2\u04b2\u04b3\5\u0141\u00a1\2\u04b3\u04b4\5\u0167\u00b4") buf.write(u"\2\u04b4\u04b5\5\u0149\u00a5\2\u04b5\u0118\3\2\2\2\u04b6") buf.write(u"\u04b7\5\u0169\u00b5\2\u04b7\u04b8\5\u0165\u00b3\2\u04b8") buf.write(u"\u04b9\5\u0151\u00a9\2\u04b9\u04ba\5\u015b\u00ae\2\u04ba") buf.write(u"\u04bb\5\u014d\u00a7\2\u04bb\u011a\3\2\2\2\u04bc\u04bd") buf.write(u"\5\u016b\u00b6\2\u04bd\u04be\5\u0141\u00a1\2\u04be\u04bf") buf.write(u"\5\u0145\u00a3\2\u04bf\u04c0\5\u0169\u00b5\2\u04c0\u04c1") buf.write(u"\5\u0169\u00b5\2\u04c1\u04c2\5\u0159\u00ad\2\u04c2\u011c") buf.write(u"\3\2\2\2\u04c3\u04c4\5\u016b\u00b6\2\u04c4\u04c5\5\u0141") buf.write(u"\u00a1\2\u04c5\u04c6\5\u0157\u00ac\2\u04c6\u04c7\5\u0169") buf.write(u"\u00b5\2\u04c7\u04c8\5\u0149\u00a5\2\u04c8\u04c9\5\u0165") buf.write(u"\u00b3\2\u04c9\u011e\3\2\2\2\u04ca\u04cb\5\u016b\u00b6") buf.write(u"\2\u04cb\u04cc\5\u0151\u00a9\2\u04cc\u04cd\5\u0149\u00a5") buf.write(u"\2\u04cd\u04ce\5\u016d\u00b7\2\u04ce\u0120\3\2\2\2\u04cf") buf.write(u"\u04d0\5\u016b\u00b6\2\u04d0\u04d1\5\u0151\u00a9\2\u04d1") buf.write(u"\u04d2\5\u0163\u00b2\2\u04d2\u04d3\5\u0167\u00b4\2\u04d3") buf.write(u"\u04d4\5\u0169\u00b5\2\u04d4\u04d5\5\u0141\u00a1\2\u04d5") buf.write(u"\u04d6\5\u0157\u00ac\2\u04d6\u0122\3\2\2\2\u04d7\u04d8") buf.write(u"\5\u016d\u00b7\2\u04d8\u04d9\5\u014f\u00a8\2\u04d9\u04da") buf.write(u"\5\u0149\u00a5\2\u04da\u04db\5\u015b\u00ae\2\u04db\u0124") buf.write(u"\3\2\2\2\u04dc\u04dd\5\u016d\u00b7\2\u04dd\u04de\5\u014f") buf.write(u"\u00a8\2\u04de\u04df\5\u0149\u00a5\2\u04df\u04e0\5\u0163") buf.write(u"\u00b2\2\u04e0\u04e1\5\u0149\u00a5\2\u04e1\u0126\3\2") buf.write(u"\2\2\u04e2\u04e3\5\u016d\u00b7\2\u04e3\u04e4\5\u0151") buf.write(u"\u00a9\2\u04e4\u04e5\5\u0167\u00b4\2\u04e5\u04e6\5\u014f") buf.write(u"\u00a8\2\u04e6\u0128\3\2\2\2\u04e7\u04e8\5\u016d\u00b7") buf.write(u"\2\u04e8\u04e9\5\u0151\u00a9\2\u04e9\u04ea\5\u0167\u00b4") buf.write(u"\2\u04ea\u04eb\5\u014f\u00a8\2\u04eb\u04ec\5\u015d\u00af") buf.write(u"\2\u04ec\u04ed\5\u0169\u00b5\2\u04ed\u04ee\5\u0167\u00b4") buf.write(u"\2\u04ee\u012a\3\2\2\2\u04ef\u04f0\5\u0163\u00b2\2\u04f0") buf.write(u"\u04f1\5\u015d\u00af\2\u04f1\u04f2\5\u016d\u00b7\2\u04f2") buf.write(u"\u04f3\5\u0151\u00a9\2\u04f3\u04f4\5\u0147\u00a4\2\u04f4") buf.write(u"\u012c\3\2\2\2\u04f5\u04fb\7$\2\2\u04f6\u04fa\n\2\2\2") buf.write(u"\u04f7\u04f8\7$\2\2\u04f8\u04fa\7$\2\2\u04f9\u04f6\3") buf.write(u"\2\2\2\u04f9\u04f7\3\2\2\2\u04fa\u04fd\3\2\2\2\u04fb") buf.write(u"\u04f9\3\2\2\2\u04fb\u04fc\3\2\2\2\u04fc\u04fe\3\2\2") buf.write(u"\2\u04fd\u04fb\3\2\2\2\u04fe\u0519\7$\2\2\u04ff\u0505") buf.write(u"\7b\2\2\u0500\u0504\n\3\2\2\u0501\u0502\7b\2\2\u0502") buf.write(u"\u0504\7b\2\2\u0503\u0500\3\2\2\2\u0503\u0501\3\2\2\2") buf.write(u"\u0504\u0507\3\2\2\2\u0505\u0503\3\2\2\2\u0505\u0506") buf.write(u"\3\2\2\2\u0506\u0508\3\2\2\2\u0507\u0505\3\2\2\2\u0508") buf.write(u"\u0519\7b\2\2\u0509\u050d\7]\2\2\u050a\u050c\n\4\2\2") buf.write(u"\u050b\u050a\3\2\2\2\u050c\u050f\3\2\2\2\u050d\u050b") buf.write(u"\3\2\2\2\u050d\u050e\3\2\2\2\u050e\u0510\3\2\2\2\u050f") buf.write(u"\u050d\3\2\2\2\u0510\u0519\7_\2\2\u0511\u0515\t%\2\2") buf.write(u"\u0512\u0514\t&\2\2\u0513\u0512\3\2\2\2\u0514\u0517\3") buf.write(u"\2\2\2\u0515\u0513\3\2\2\2\u0515\u0516\3\2\2\2\u0516") buf.write(u"\u0519\3\2\2\2\u0517\u0515\3\2\2\2\u0518\u04f5\3\2\2") buf.write(u"\2\u0518\u04ff\3\2\2\2\u0518\u0509\3\2\2\2\u0518\u0511") buf.write(u"\3\2\2\2\u0519\u012e\3\2\2\2\u051a\u051c\5\u013f\u00a0") buf.write(u"\2\u051b\u051a\3\2\2\2\u051c\u051d\3\2\2\2\u051d\u051b") buf.write(u"\3\2\2\2\u051d\u051e\3\2\2\2\u051e\u0526\3\2\2\2\u051f") buf.write(u"\u0523\7\60\2\2\u0520\u0522\5\u013f\u00a0\2\u0521\u0520") buf.write(u"\3\2\2\2\u0522\u0525\3\2\2\2\u0523\u0521\3\2\2\2\u0523") buf.write(u"\u0524\3\2\2\2\u0524\u0527\3\2\2\2\u0525\u0523\3\2\2") buf.write(u"\2\u0526\u051f\3\2\2\2\u0526\u0527\3\2\2\2\u0527\u0531") buf.write(u"\3\2\2\2\u0528\u052a\5\u0149\u00a5\2\u0529\u052b\t\5") buf.write(u"\2\2\u052a\u0529\3\2\2\2\u052a\u052b\3\2\2\2\u052b\u052d") buf.write(u"\3\2\2\2\u052c\u052e\5\u013f\u00a0\2\u052d\u052c\3\2") buf.write(u"\2\2\u052e\u052f\3\2\2\2\u052f\u052d\3\2\2\2\u052f\u0530") buf.write(u"\3\2\2\2\u0530\u0532\3\2\2\2\u0531\u0528\3\2\2\2\u0531") buf.write(u"\u0532\3\2\2\2\u0532\u0545\3\2\2\2\u0533\u0535\7\60\2") buf.write(u"\2\u0534\u0536\5\u013f\u00a0\2\u0535\u0534\3\2\2\2\u0536") buf.write(u"\u0537\3\2\2\2\u0537\u0535\3\2\2\2\u0537\u0538\3\2\2") buf.write(u"\2\u0538\u0542\3\2\2\2\u0539\u053b\5\u0149\u00a5\2\u053a") buf.write(u"\u053c\t\5\2\2\u053b\u053a\3\2\2\2\u053b\u053c\3\2\2") buf.write(u"\2\u053c\u053e\3\2\2\2\u053d\u053f\5\u013f\u00a0\2\u053e") buf.write(u"\u053d\3\2\2\2\u053f\u0540\3\2\2\2\u0540\u053e\3\2\2") buf.write(u"\2\u0540\u0541\3\2\2\2\u0541\u0543\3\2\2\2\u0542\u0539") buf.write(u"\3\2\2\2\u0542\u0543\3\2\2\2\u0543\u0545\3\2\2\2\u0544") buf.write(u"\u051b\3\2\2\2\u0544\u0533\3\2\2\2\u0545\u0130\3\2\2") buf.write(u"\2\u0546\u054a\7A\2\2\u0547\u0549\5\u013f\u00a0\2\u0548") buf.write(u"\u0547\3\2\2\2\u0549\u054c\3\2\2\2\u054a\u0548\3\2\2") buf.write(u"\2\u054a\u054b\3\2\2\2\u054b\u0550\3\2\2\2\u054c\u054a") buf.write(u"\3\2\2\2\u054d\u054e\t\6\2\2\u054e\u0550\5\u012d\u0097") buf.write(u"\2\u054f\u0546\3\2\2\2\u054f\u054d\3\2\2\2\u0550\u0132") buf.write(u"\3\2\2\2\u0551\u0557\7)\2\2\u0552\u0556\n\7\2\2\u0553") buf.write(u"\u0554\7)\2\2\u0554\u0556\7)\2\2\u0555\u0552\3\2\2\2") buf.write(u"\u0555\u0553\3\2\2\2\u0556\u0559\3\2\2\2\u0557\u0555") buf.write(u"\3\2\2\2\u0557\u0558\3\2\2\2\u0558\u055a\3\2\2\2\u0559") buf.write(u"\u0557\3\2\2\2\u055a\u0566\7)\2\2\u055b\u0561\7$\2\2") buf.write(u"\u055c\u0560\n\2\2\2\u055d\u055e\7$\2\2\u055e\u0560\7") buf.write(u"$\2\2\u055f\u055c\3\2\2\2\u055f\u055d\3\2\2\2\u0560\u0563") buf.write(u"\3\2\2\2\u0561\u055f\3\2\2\2\u0561\u0562\3\2\2\2\u0562") buf.write(u"\u0564\3\2\2\2\u0563\u0561\3\2\2\2\u0564\u0566\7$\2\2") buf.write(u"\u0565\u0551\3\2\2\2\u0565\u055b\3\2\2\2\u0566\u0134") buf.write(u"\3\2\2\2\u0567\u0568\5\u016f\u00b8\2\u0568\u0569\5\u0133") buf.write(u"\u009a\2\u0569\u0136\3\2\2\2\u056a\u056b\7/\2\2\u056b") buf.write(u"\u056c\7/\2\2\u056c\u0570\3\2\2\2\u056d\u056f\n\b\2\2") buf.write(u"\u056e\u056d\3\2\2\2\u056f\u0572\3\2\2\2\u0570\u056e") buf.write(u"\3\2\2\2\u0570\u0571\3\2\2\2\u0571\u0573\3\2\2\2\u0572") buf.write(u"\u0570\3\2\2\2\u0573\u0574\b\u009c\2\2\u0574\u0138\3") buf.write(u"\2\2\2\u0575\u0576\7\61\2\2\u0576\u0577\7,\2\2\u0577") buf.write(u"\u057b\3\2\2\2\u0578\u057a\13\2\2\2\u0579\u0578\3\2\2") buf.write(u"\2\u057a\u057d\3\2\2\2\u057b\u057c\3\2\2\2\u057b\u0579") buf.write(u"\3\2\2\2\u057c\u0581\3\2\2\2\u057d\u057b\3\2\2\2\u057e") buf.write(u"\u057f\7,\2\2\u057f\u0582\7\61\2\2\u0580\u0582\7\2\2") buf.write(u"\3\u0581\u057e\3\2\2\2\u0581\u0580\3\2\2\2\u0582\u0583") buf.write(u"\3\2\2\2\u0583\u0584\b\u009d\2\2\u0584\u013a\3\2\2\2") buf.write(u"\u0585\u0586\t\t\2\2\u0586\u0587\3\2\2\2\u0587\u0588") buf.write(u"\b\u009e\3\2\u0588\u013c\3\2\2\2\u0589\u058a\13\2\2\2") buf.write(u"\u058a\u013e\3\2\2\2\u058b\u058c\t\n\2\2\u058c\u0140") buf.write(u"\3\2\2\2\u058d\u058e\t\13\2\2\u058e\u0142\3\2\2\2\u058f") buf.write(u"\u0590\t\f\2\2\u0590\u0144\3\2\2\2\u0591\u0592\t\r\2") buf.write(u"\2\u0592\u0146\3\2\2\2\u0593\u0594\t\16\2\2\u0594\u0148") buf.write(u"\3\2\2\2\u0595\u0596\t\17\2\2\u0596\u014a\3\2\2\2\u0597") buf.write(u"\u0598\t\20\2\2\u0598\u014c\3\2\2\2\u0599\u059a\t\21") buf.write(u"\2\2\u059a\u014e\3\2\2\2\u059b\u059c\t\22\2\2\u059c\u0150") buf.write(u"\3\2\2\2\u059d\u059e\t\23\2\2\u059e\u0152\3\2\2\2\u059f") buf.write(u"\u05a0\t\24\2\2\u05a0\u0154\3\2\2\2\u05a1\u05a2\t\25") buf.write(u"\2\2\u05a2\u0156\3\2\2\2\u05a3\u05a4\t\26\2\2\u05a4\u0158") buf.write(u"\3\2\2\2\u05a5\u05a6\t\27\2\2\u05a6\u015a\3\2\2\2\u05a7") buf.write(u"\u05a8\t\30\2\2\u05a8\u015c\3\2\2\2\u05a9\u05aa\t\31") buf.write(u"\2\2\u05aa\u015e\3\2\2\2\u05ab\u05ac\t\32\2\2\u05ac\u0160") buf.write(u"\3\2\2\2\u05ad\u05ae\t\33\2\2\u05ae\u0162\3\2\2\2\u05af") buf.write(u"\u05b0\t\34\2\2\u05b0\u0164\3\2\2\2\u05b1\u05b2\t\35") buf.write(u"\2\2\u05b2\u0166\3\2\2\2\u05b3\u05b4\t\36\2\2\u05b4\u0168") buf.write(u"\3\2\2\2\u05b5\u05b6\t\37\2\2\u05b6\u016a\3\2\2\2\u05b7") buf.write(u"\u05b8\t \2\2\u05b8\u016c\3\2\2\2\u05b9\u05ba\t!\2\2") buf.write(u"\u05ba\u016e\3\2\2\2\u05bb\u05bc\t\"\2\2\u05bc\u0170") buf.write(u"\3\2\2\2\u05bd\u05be\t#\2\2\u05be\u0172\3\2\2\2\u05bf") buf.write(u"\u05c0\t$\2\2\u05c0\u0174\3\2\2\2\37\2\u04f9\u04fb\u0503") buf.write(u"\u0505\u050d\u0515\u0518\u051d\u0523\u0526\u052a\u052f") buf.write(u"\u0531\u0537\u053b\u0540\u0542\u0544\u054a\u054f\u0555") buf.write(u"\u0557\u055f\u0561\u0565\u0570\u057b\u0581\4\2\4\2\2") buf.write(u"\3\2") return buf.getvalue() class SQLiteLexer(Lexer): atn = ATNDeserializer().deserialize(serializedATN()) decisionsToDFA = [ DFA(ds, i) for i, ds in enumerate(atn.decisionToState) ] SCOL = 1 DOT = 2 OPEN_PAR = 3 CLOSE_PAR = 4 COMMA = 5 ASSIGN = 6 STAR = 7 PLUS = 8 MINUS = 9 TILDE = 10 PIPE2 = 11 DIV = 12 MOD = 13 LT2 = 14 GT2 = 15 AMP = 16 PIPE = 17 LT = 18 LT_EQ = 19 GT = 20 GT_EQ = 21 EQ = 22 NOT_EQ1 = 23 NOT_EQ2 = 24 K_ABORT = 25 K_ACTION = 26 K_ADD = 27 K_AFTER = 28 K_ALL = 29 K_ALTER = 30 K_ANALYZE = 31 K_AND = 32 K_AS = 33 K_ASC = 34 K_ATTACH = 35 K_AUTOINCREMENT = 36 K_BEFORE = 37 K_BEGIN = 38 K_BETWEEN = 39 K_BY = 40 K_CASCADE = 41 K_CASE = 42 K_CAST = 43 K_CHECK = 44 K_COLLATE = 45 K_COLUMN = 46 K_COMMIT = 47 K_CONFLICT = 48 K_CONSTRAINT = 49 K_CREATE = 50 K_CROSS = 51 K_CURRENT_DATE = 52 K_CURRENT_TIME = 53 K_CURRENT_TIMESTAMP = 54 K_DATABASE = 55 K_DEFAULT = 56 K_DEFERRABLE = 57 K_DEFERRED = 58 K_DELETE = 59 K_DESC = 60 K_DETACH = 61 K_DISTINCT = 62 K_DROP = 63 K_EACH = 64 K_ELSE = 65 K_END = 66 K_ESCAPE = 67 K_EXCEPT = 68 K_EXCLUSIVE = 69 K_EXISTS = 70 K_EXPLAIN = 71 K_FAIL = 72 K_FOR = 73 K_FOREIGN = 74 K_FROM = 75 K_FULL = 76 K_GLOB = 77 K_GROUP = 78 K_HAVING = 79 K_IF = 80 K_IGNORE = 81 K_IMMEDIATE = 82 K_IN = 83 K_INDEX = 84 K_INDEXED = 85 K_INITIALLY = 86 K_INNER = 87 K_INSERT = 88 K_INSTEAD = 89 K_INTERSECT = 90 K_INTO = 91 K_IS = 92 K_ISNULL = 93 K_JOIN = 94 K_KEY = 95 K_LEFT = 96 K_LIKE = 97 K_LIMIT = 98 K_MATCH = 99 K_NATURAL = 100 K_NO = 101 K_NOT = 102 K_NOTNULL = 103 K_NULL = 104 K_OF = 105 K_OFFSET = 106 K_ON = 107 K_OR = 108 K_ORDER = 109 K_OUTER = 110 K_PLAN = 111 K_PRAGMA = 112 K_PRIMARY = 113 K_QUERY = 114 K_RAISE = 115 K_RECURSIVE = 116 K_REFERENCES = 117 K_REGEXP = 118 K_REINDEX = 119 K_RELEASE = 120 K_RENAME = 121 K_REPLACE = 122 K_RESTRICT = 123 K_RIGHT = 124 K_ROLLBACK = 125 K_ROW = 126 K_SAVEPOINT = 127 K_SELECT = 128 K_SET = 129 K_TABLE = 130 K_TEMP = 131 K_TEMPORARY = 132 K_THEN = 133 K_TO = 134 K_TRANSACTION = 135 K_TRIGGER = 136 K_UNION = 137 K_UNIQUE = 138 K_UPDATE = 139 K_USING = 140 K_VACUUM = 141 K_VALUES = 142 K_VIEW = 143 K_VIRTUAL = 144 K_WHEN = 145 K_WHERE = 146 K_WITH = 147 K_WITHOUT = 148 C_ROWID = 149 IDENTIFIER = 150 NUMERIC_LITERAL = 151 BIND_PARAMETER = 152 STRING_LITERAL = 153 BLOB_LITERAL = 154 SINGLE_LINE_COMMENT = 155 MULTILINE_COMMENT = 156 SPACES = 157 UNEXPECTED_CHAR = 158 channelNames = [ u"DEFAULT_TOKEN_CHANNEL", u"HIDDEN" ] modeNames = [ u"DEFAULT_MODE" ] literalNames = [ u"<INVALID>", u"';'", u"'.'", u"'('", u"')'", u"','", u"'='", u"'*'", u"'+'", u"'-'", u"'~'", u"'||'", u"'/'", u"'%'", u"'<<'", u"'>>'", u"'&'", u"'|'", u"'<'", u"'<='", u"'>'", u"'>='", u"'=='", u"'!='", u"'<>'" ] symbolicNames = [ u"<INVALID>", u"SCOL", u"DOT", u"OPEN_PAR", u"CLOSE_PAR", u"COMMA", u"ASSIGN", u"STAR", u"PLUS", u"MINUS", u"TILDE", u"PIPE2", u"DIV", u"MOD", u"LT2", u"GT2", u"AMP", u"PIPE", u"LT", u"LT_EQ", u"GT", u"GT_EQ", u"EQ", u"NOT_EQ1", u"NOT_EQ2", u"K_ABORT", u"K_ACTION", u"K_ADD", u"K_AFTER", u"K_ALL", u"K_ALTER", u"K_ANALYZE", u"K_AND", u"K_AS", u"K_ASC", u"K_ATTACH", u"K_AUTOINCREMENT", u"K_BEFORE", u"K_BEGIN", u"K_BETWEEN", u"K_BY", u"K_CASCADE", u"K_CASE", u"K_CAST", u"K_CHECK", u"K_COLLATE", u"K_COLUMN", u"K_COMMIT", u"K_CONFLICT", u"K_CONSTRAINT", u"K_CREATE", u"K_CROSS", u"K_CURRENT_DATE", u"K_CURRENT_TIME", u"K_CURRENT_TIMESTAMP", u"K_DATABASE", u"K_DEFAULT", u"K_DEFERRABLE", u"K_DEFERRED", u"K_DELETE", u"K_DESC", u"K_DETACH", u"K_DISTINCT", u"K_DROP", u"K_EACH", u"K_ELSE", u"K_END", u"K_ESCAPE", u"K_EXCEPT", u"K_EXCLUSIVE", u"K_EXISTS", u"K_EXPLAIN", u"K_FAIL", u"K_FOR", u"K_FOREIGN", u"K_FROM", u"K_FULL", u"K_GLOB", u"K_GROUP", u"K_HAVING", u"K_IF", u"K_IGNORE", u"K_IMMEDIATE", u"K_IN", u"K_INDEX", u"K_INDEXED", u"K_INITIALLY", u"K_INNER", u"K_INSERT", u"K_INSTEAD", u"K_INTERSECT", u"K_INTO", u"K_IS", u"K_ISNULL", u"K_JOIN", u"K_KEY", u"K_LEFT", u"K_LIKE", u"K_LIMIT", u"K_MATCH", u"K_NATURAL", u"K_NO", u"K_NOT", u"K_NOTNULL", u"K_NULL", u"K_OF", u"K_OFFSET", u"K_ON", u"K_OR", u"K_ORDER", u"K_OUTER", u"K_PLAN", u"K_PRAGMA", u"K_PRIMARY", u"K_QUERY", u"K_RAISE", u"K_RECURSIVE", u"K_REFERENCES", u"K_REGEXP", u"K_REINDEX", u"K_RELEASE", u"K_RENAME", u"K_REPLACE", u"K_RESTRICT", u"K_RIGHT", u"K_ROLLBACK", u"K_ROW", u"K_SAVEPOINT", u"K_SELECT", u"K_SET", u"K_TABLE", u"K_TEMP", u"K_TEMPORARY", u"K_THEN", u"K_TO", u"K_TRANSACTION", u"K_TRIGGER", u"K_UNION", u"K_UNIQUE", u"K_UPDATE", u"K_USING", u"K_VACUUM", u"K_VALUES", u"K_VIEW", u"K_VIRTUAL", u"K_WHEN", u"K_WHERE", u"K_WITH", u"K_WITHOUT", u"C_ROWID", u"IDENTIFIER", u"NUMERIC_LITERAL", u"BIND_PARAMETER", u"STRING_LITERAL", u"BLOB_LITERAL", u"SINGLE_LINE_COMMENT", u"MULTILINE_COMMENT", u"SPACES", u"UNEXPECTED_CHAR" ] ruleNames = [ u"SCOL", u"DOT", u"OPEN_PAR", u"CLOSE_PAR", u"COMMA", u"ASSIGN", u"STAR", u"PLUS", u"MINUS", u"TILDE", u"PIPE2", u"DIV", u"MOD", u"LT2", u"GT2", u"AMP", u"PIPE", u"LT", u"LT_EQ", u"GT", u"GT_EQ", u"EQ", u"NOT_EQ1", u"NOT_EQ2", u"K_ABORT", u"K_ACTION", u"K_ADD", u"K_AFTER", u"K_ALL", u"K_ALTER", u"K_ANALYZE", u"K_AND", u"K_AS", u"K_ASC", u"K_ATTACH", u"K_AUTOINCREMENT", u"K_BEFORE", u"K_BEGIN", u"K_BETWEEN", u"K_BY", u"K_CASCADE", u"K_CASE", u"K_CAST", u"K_CHECK", u"K_COLLATE", u"K_COLUMN", u"K_COMMIT", u"K_CONFLICT", u"K_CONSTRAINT", u"K_CREATE", u"K_CROSS", u"K_CURRENT_DATE", u"K_CURRENT_TIME", u"K_CURRENT_TIMESTAMP", u"K_DATABASE", u"K_DEFAULT", u"K_DEFERRABLE", u"K_DEFERRED", u"K_DELETE", u"K_DESC", u"K_DETACH", u"K_DISTINCT", u"K_DROP", u"K_EACH", u"K_ELSE", u"K_END", u"K_ESCAPE", u"K_EXCEPT", u"K_EXCLUSIVE", u"K_EXISTS", u"K_EXPLAIN", u"K_FAIL", u"K_FOR", u"K_FOREIGN", u"K_FROM", u"K_FULL", u"K_GLOB", u"K_GROUP", u"K_HAVING", u"K_IF", u"K_IGNORE", u"K_IMMEDIATE", u"K_IN", u"K_INDEX", u"K_INDEXED", u"K_INITIALLY", u"K_INNER", u"K_INSERT", u"K_INSTEAD", u"K_INTERSECT", u"K_INTO", u"K_IS", u"K_ISNULL", u"K_JOIN", u"K_KEY", u"K_LEFT", u"K_LIKE", u"K_LIMIT", u"K_MATCH", u"K_NATURAL", u"K_NO", u"K_NOT", u"K_NOTNULL", u"K_NULL", u"K_OF", u"K_OFFSET", u"K_ON", u"K_OR", u"K_ORDER", u"K_OUTER", u"K_PLAN", u"K_PRAGMA", u"K_PRIMARY", u"K_QUERY", u"K_RAISE", u"K_RECURSIVE", u"K_REFERENCES", u"K_REGEXP", u"K_REINDEX", u"K_RELEASE", u"K_RENAME", u"K_REPLACE", u"K_RESTRICT", u"K_RIGHT", u"K_ROLLBACK", u"K_ROW", u"K_SAVEPOINT", u"K_SELECT", u"K_SET", u"K_TABLE", u"K_TEMP", u"K_TEMPORARY", u"K_THEN", u"K_TO", u"K_TRANSACTION", u"K_TRIGGER", u"K_UNION", u"K_UNIQUE", u"K_UPDATE", u"K_USING", u"K_VACUUM", u"K_VALUES", u"K_VIEW", u"K_VIRTUAL", u"K_WHEN", u"K_WHERE", u"K_WITH", u"K_WITHOUT", u"C_ROWID", u"IDENTIFIER", u"NUMERIC_LITERAL", u"BIND_PARAMETER", u"STRING_LITERAL", u"BLOB_LITERAL", u"SINGLE_LINE_COMMENT", u"MULTILINE_COMMENT", u"SPACES", u"UNEXPECTED_CHAR", u"DIGIT", u"A", u"B", u"C", u"D", u"E", u"F", u"G", u"H", u"I", u"J", u"K", u"L", u"M", u"N", u"O", u"P", u"Q", u"R", u"S", u"T", u"U", u"V", u"W", u"X", u"Y", u"Z" ] grammarFileName = u"SQLite.g4" def __init__(self, input=None, output=sys.stdout): super(SQLiteLexer, self).__init__(input, output=output) self.checkVersion("4.8") self._interp = LexerATNSimulator(self, self.atn, self.decisionsToDFA, PredictionContextCache()) self._actions = None self._predicates = None

69.825726

103

0.624891

21,793

100,968

2.873996

0.143854

0.045822

0.168984

0.035125

0.44435

0.416777

0.380375

0.263966

0.223013

0.215573

0

0.36815

0.132666

100,968

1,445

104

69.874048

0.347059

0.000525

0

0.021038

1

0.415849

0.665712

0.639411

0

1

0.001403

false

0

0.002805

0

0.12202

0.000701

0

null

0

1

0

1

0

1

null

0

6

d61ef78f600952878c9ce823c51e213141e691e4

31

py

Python

dst/utils/metrics/__init__.py

gooppe/deep-summarization-toolkit

e249b7c31c817fedbc3133a3799c23a0115091bd

[ "MIT" ]

7

2019-05-30T18:19:42.000Z

2020-03-25T06:52:40.000Z

dst/utils/metrics/__init__.py

gooppe/deep-summarization-toolkit

e249b7c31c817fedbc3133a3799c23a0115091bd

[ "MIT" ]

null

dst/utils/metrics/__init__.py

gooppe/deep-summarization-toolkit

e249b7c31c817fedbc3133a3799c23a0115091bd

[ "MIT" ]

3

2019-05-26T18:45:15.000Z

2020-03-24T20:20:46.000Z

from .rouge import RougeMetric

15.5

30

0.83871

4

31

6.5

1

0

0.129032

31

1

31

0.962963

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

c3a8a2e3c65130151fcc01becc1fbb89d961a4d1

27

py

Python

achilles/terminal/pull/__init__.py

np-core/druid

ae483db67eeace4dabdb15e1401e9fc01e2c7d07

[ "MIT" ]

5

2019-09-04T21:02:36.000Z

2021-11-05T01:14:56.000Z

achilles/terminal/pull/__init__.py

np-core/druid

ae483db67eeace4dabdb15e1401e9fc01e2c7d07

[ "MIT" ]

7

2019-03-14T05:42:11.000Z

2019-03-15T01:49:20.000Z

achilles/terminal/pull/__init__.py

np-core/druid

ae483db67eeace4dabdb15e1401e9fc01e2c7d07

[ "MIT" ]

2

2021-03-01T06:53:35.000Z

2021-11-05T01:18:43.000Z

from .commands import pull

13.5

26

0.814815

4

27

5.5

1

0

0.148148

27

1

27

0.956522

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

c3ccf96301b413812915c06bd005907b84920d6a

124

py

Python

admin.py

jbmyre/ip

99178b3e25b91cdabdbb1e453ad753dd775f773a

[ "MIT" ]

1

2016-11-02T20:32:34.000Z

admin.py

jbmyre/ip_manager

99178b3e25b91cdabdbb1e453ad753dd775f773a

[ "MIT" ]

null

admin.py

jbmyre/ip_manager

99178b3e25b91cdabdbb1e453ad753dd775f773a

[ "MIT" ]

null

from django.contrib import admin from . import models admin.site.register(models.Subnet) admin.site.register(models.Host)

17.714286

34

0.806452

18

124

5.555556

0.555556

0.18

0.34

0.46

0

0.096774

124

6

35

20.666667

0.892857

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

6

c3f25885627db5633d8d5b89111721a4902a8b07

275

py

Python

src/day05_golf.py

guibou/AdventOfCode2020

bfdfb0fb4c3198b7019b88f77e762a82665a024d

[ "BSD-3-Clause" ]

1

2020-12-02T03:24:59.000Z

src/day05_golf.py

guibou/AdventOfCode2020

bfdfb0fb4c3198b7019b88f77e762a82665a024d

[ "BSD-3-Clause" ]

null

src/day05_golf.py

guibou/AdventOfCode2020

bfdfb0fb4c3198b7019b88f77e762a82665a024d

[ "BSD-3-Clause" ]

null

r=str.replace;print(max(map(lambda x:int(r(r(r(r(x,'F','0'),'B','1'),'R','1'),'L','0'),2),open("../content/day05")))) s=set(map(lambda x:int(r(r(r(r(x,'F','0'),'B','1'),'R','1'),'L','0'),2),open("../content/day05")));print([i for i in s if (i+1) not in s and (i+2) in s][0])

91.666667

156

0.512727

67

275

2.104478

0.38806

0.085106

0.184397

0.609929

0

0.065891

0.061818

275

2

157

137.5

0.48062

0

0.174545

0

1

0

false

0

1

0

null

0

1

0

1

0

1

0

1

0

null

0

1

0

6

7f163c52275d5e9e70e4e21bd9ec594990d25fc6

13,878

py

Python

tests/barriers/test_change_status.py

felix781/market-access-python-frontend

3b0e49feb4fdf0224816326938a46002aa4a2b1c

[ "MIT" ]

1

2021-12-15T04:14:03.000Z

tests/barriers/test_change_status.py

felix781/market-access-python-frontend

3b0e49feb4fdf0224816326938a46002aa4a2b1c

[ "MIT" ]

19

2019-12-11T11:32:47.000Z

2022-03-29T15:40:57.000Z

tests/barriers/test_change_status.py

felix781/market-access-python-frontend

3b0e49feb4fdf0224816326938a46002aa4a2b1c

[ "MIT" ]

2

2021-02-09T09:38:45.000Z

2021-03-29T19:07:09.000Z

from http import HTTPStatus from django.urls import reverse from mock import patch from core.tests import MarketAccessTestCase class ChangeStatusTestCase(MarketAccessTestCase): def test_existing_status_not_in_choices(self): response = self.client.get( reverse("barriers:change_status", kwargs={"barrier_id": self.barrier["id"]}) ) assert response.status_code == HTTPStatus.OK assert "form" in response.context form = response.context["form"] status_choice_values = [choice[0] for choice in form.fields["status"].choices] assert str(self.barrier["status"]["id"]) not in status_choice_values @patch("utils.api.client.BarriersResource.set_status") def test_no_status_gets_error(self, mock_set_status): response = self.client.post( reverse("barriers:change_status", kwargs={"barrier_id": self.barrier["id"]}) ) assert response.status_code == HTTPStatus.OK assert "form" in response.context form = response.context["form"] assert form.is_valid() is False assert "status" in form.errors assert len(form.errors) == 1 assert mock_set_status.called is False @patch("utils.api.client.BarriersResource.set_status") def test_open_pending_errors(self, mock_set_status): response = self.client.post( reverse( "barriers:change_status", kwargs={"barrier_id": self.barrier["id"]} ), data={"status": "1"}, ) assert response.status_code == HTTPStatus.OK assert "form" in response.context form = response.context["form"] assert form.is_valid() is False assert "status" not in form.errors assert "pending_summary" in form.errors assert "pending_type" in form.errors assert "pending_type_other" not in form.errors assert len(form.errors) == 2 assert mock_set_status.called is False @patch("utils.api.client.BarriersResource.set_status") def test_open_pending_success(self, mock_set_status): response = self.client.post( reverse( "barriers:change_status", kwargs={"barrier_id": self.barrier["id"]} ), data={ "status": "1", "pending_summary": "Test pending summary", "pending_type": "FOR_GOVT", }, ) assert response.status_code == HTTPStatus.FOUND mock_set_status.assert_called_with( barrier_id=self.barrier["id"], status="1", sub_status="FOR_GOVT", status_summary="Test pending summary", ) @patch("utils.api.client.BarriersResource.set_status") def test_open_pending_errors_other(self, mock_set_status): response = self.client.post( reverse( "barriers:change_status", kwargs={"barrier_id": self.barrier["id"]} ), data={ "status": "1", "pending_summary": "Test pending summary", "pending_type": "OTHER", }, ) assert response.status_code == HTTPStatus.OK assert "form" in response.context form = response.context["form"] assert form.is_valid() is False assert "status" not in form.errors assert "pending_summary" not in form.errors assert "pending_type" not in form.errors assert "pending_type_other" in form.errors assert len(form.errors) == 1 assert mock_set_status.called is False @patch("utils.api.client.BarriersResource.set_status") def test_open_pending_success_other(self, mock_set_status): response = self.client.post( reverse( "barriers:change_status", kwargs={"barrier_id": self.barrier["id"]} ), data={ "status": "1", "pending_summary": "Test pending summary", "pending_type": "OTHER", "pending_type_other": "Other test", }, ) assert response.status_code == HTTPStatus.FOUND mock_set_status.assert_called_with( barrier_id=self.barrier["id"], status="1", sub_status="OTHER", sub_status_other="Other test", status_summary="Test pending summary", ) @patch("utils.api.client.BarriersResource.set_status") def test_open_in_progress_errors(self, mock_set_status): response = self.client.post( reverse( "barriers:change_status", kwargs={"barrier_id": self.barrier["id"]} ), data={"status": "2"}, ) assert response.status_code == HTTPStatus.OK assert "form" in response.context form = response.context["form"] assert form.is_valid() is False assert "status" not in form.errors assert "open_in_progress_summary" in form.errors assert len(form.errors) == 1 assert mock_set_status.called is False @patch("utils.api.client.BarriersResource.set_status") def test_open_in_progress_success(self, mock_set_status): response = self.client.post( reverse( "barriers:change_status", kwargs={"barrier_id": self.barrier["id"]} ), data={ "status": "2", "open_in_progress_summary": "Test summary", }, ) assert response.status_code == HTTPStatus.FOUND mock_set_status.assert_called_with( barrier_id=self.barrier["id"], status="2", status_summary="Test summary", ) @patch("utils.api.client.BarriersResource.set_status") def test_partially_resolved_errors(self, mock_set_status): self.barrier["status"]["id"] = 1 response = self.client.post( reverse( "barriers:change_status", kwargs={"barrier_id": self.barrier["id"]} ), data={"status": "3"}, ) assert response.status_code == HTTPStatus.OK assert "form" in response.context form = response.context["form"] assert form.is_valid() is False assert "status" not in form.errors assert "part_resolved_summary" in form.errors assert "part_resolved_date" in form.errors assert len(form.errors) == 2 assert mock_set_status.called is False @patch("utils.api.client.BarriersResource.set_status") def test_partially_resolved_future_date_error(self, mock_set_status): response = self.client.post( reverse( "barriers:change_status", kwargs={"barrier_id": self.barrier["id"]} ), data={ "status": "3", "part_resolved_date_0": "5", "part_resolved_date_1": "2050", "part_resolved_summary": "Part resolved summary", }, ) assert response.status_code == HTTPStatus.OK assert "form" in response.context form = response.context["form"] assert form.is_valid() is False assert "status" not in form.errors assert "part_resolved_summary" not in form.errors assert "part_resolved_date" in form.errors assert len(form.errors) == 1 assert mock_set_status.called is False @patch("utils.api.client.BarriersResource.set_status") def test_partially_resolved_bad_date_error(self, mock_set_status): response = self.client.post( reverse( "barriers:change_status", kwargs={"barrier_id": self.barrier["id"]} ), data={ "status": "3", "part_resolved_date_0": "5", "part_resolved_date_1": "20xx", "part_resolved_summary": "Part resolved summary", }, ) assert response.status_code == HTTPStatus.OK assert "form" in response.context form = response.context["form"] assert form.is_valid() is False assert "status" not in form.errors assert "part_resolved_summary" not in form.errors assert "part_resolved_date" in form.errors assert len(form.errors) == 1 assert mock_set_status.called is False @patch("utils.api.client.BarriersResource.set_status") def test_partially_resolved_success(self, mock_set_status): response = self.client.post( reverse( "barriers:change_status", kwargs={"barrier_id": self.barrier["id"]} ), data={ "status": "3", "part_resolved_date_0": "12", "part_resolved_date_1": "2015", "part_resolved_summary": "Part resolved summary", }, ) assert response.status_code == HTTPStatus.FOUND mock_set_status.assert_called_with( barrier_id=self.barrier["id"], status="3", status_date="2015-12-01", status_summary="Part resolved summary", ) @patch("utils.api.client.BarriersResource.set_status") def test_fully_resolved_errors(self, mock_set_status): self.barrier["status"]["id"] = 1 response = self.client.post( reverse( "barriers:change_status", kwargs={"barrier_id": self.barrier["id"]} ), data={"status": "4"}, ) assert response.status_code == HTTPStatus.OK assert "form" in response.context form = response.context["form"] assert form.is_valid() is False assert "status" not in form.errors assert "resolved_summary" in form.errors assert "resolved_date" in form.errors assert len(form.errors) == 2 assert mock_set_status.called is False @patch("utils.api.client.BarriersResource.set_status") def test_fully_resolved_future_date_error(self, mock_set_status): self.barrier["status"]["id"] = 1 response = self.client.post( reverse( "barriers:change_status", kwargs={"barrier_id": self.barrier["id"]} ), data={ "status": "4", "resolved_date_0": "5", "resolved_date_1": "2050", "resolved_summary": "Test resolved summary", }, ) assert response.status_code == HTTPStatus.OK assert "form" in response.context form = response.context["form"] assert form.is_valid() is False assert "status" not in form.errors assert "resolved_summary" not in form.errors assert "resolved_date" in form.errors assert len(form.errors) == 1 assert mock_set_status.called is False @patch("utils.api.client.BarriersResource.set_status") def test_fully_resolved_bad_date_error(self, mock_set_status): self.barrier["status"]["id"] = 1 response = self.client.post( reverse( "barriers:change_status", kwargs={"barrier_id": self.barrier["id"]} ), data={ "status": "4", "resolved_date_0": "5", "resolved_date_1": "20xx", "resolved_summary": "Test resolved summary", }, ) assert response.status_code == HTTPStatus.OK assert "form" in response.context form = response.context["form"] assert form.is_valid() is False assert "status" not in form.errors assert "resolved_summary" not in form.errors assert "resolved_date" in form.errors assert len(form.errors) == 1 assert mock_set_status.called is False @patch("utils.api.client.BarriersResource.set_status") def test_fully_resolved_success(self, mock_set_status): self.barrier["status"]["id"] = 1 response = self.client.post( reverse( "barriers:change_status", kwargs={"barrier_id": self.barrier["id"]} ), data={ "status": "4", "resolved_date_0": "5", "resolved_date_1": "2019", "resolved_summary": "Test resolved summary", }, ) assert response.status_code == HTTPStatus.FOUND mock_set_status.assert_called_with( barrier_id=self.barrier["id"], status="4", status_date="2019-05-01", status_summary="Test resolved summary", ) @patch("utils.api.client.BarriersResource.set_status") def test_dormant_status_errors(self, mock_set_status): response = self.client.post( reverse( "barriers:change_status", kwargs={"barrier_id": self.barrier["id"]} ), data={"status": "5"}, ) assert response.status_code == HTTPStatus.OK assert "form" in response.context form = response.context["form"] assert form.is_valid() is False assert "status" not in form.errors assert "dormant_summary" in form.errors assert len(form.errors) == 1 assert mock_set_status.called is False @patch("utils.api.client.BarriersResource.set_status") def test_dormant_status_success(self, mock_set_status): response = self.client.post( reverse( "barriers:change_status", kwargs={"barrier_id": self.barrier["id"]} ), data={"status": "5", "dormant_summary": "Test dormant summary"}, ) assert response.status_code == HTTPStatus.FOUND mock_set_status.assert_called_with( barrier_id=self.barrier["id"], status="5", status_summary="Test dormant summary", )

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0.068452

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null

0

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null

0

6

615891cbdbc3bc29c3c6913eb2224bf665c2bac0

79

py

Python

anime_downloader/commands/gui.py

Alsira/anime-downloader

d82b4cfd5c7c6c358d0d8ffd36ce2d5c4a285595

[ "Unlicense" ]

1,077

2020-10-17T15:43:17.000Z

2022-03-31T15:24:29.000Z

anime_downloader/commands/gui.py

Alsira/anime-downloader

d82b4cfd5c7c6c358d0d8ffd36ce2d5c4a285595

[ "Unlicense" ]

509

2018-06-01T13:07:56.000Z

2020-10-17T13:34:39.000Z

anime_downloader/commands/gui.py

Alsira/anime-downloader

d82b4cfd5c7c6c358d0d8ffd36ce2d5c4a285595

[ "Unlicense" ]

255

2018-05-27T03:52:11.000Z

2020-10-12T17:27:38.000Z

import click @click.command() def command(): import anime_downloader.gui

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4ee2b453cc785d9da3542780330214449bc46fe1

38

py

Python

modules/tests/core/__init__.py

unimauro/eden

b739d334e6828d0db14b3790f2f5e2666fc83576

[ "MIT" ]

null

modules/tests/core/__init__.py

unimauro/eden

b739d334e6828d0db14b3790f2f5e2666fc83576

[ "MIT" ]

null

modules/tests/core/__init__.py

unimauro/eden

b739d334e6828d0db14b3790f2f5e2666fc83576

[ "MIT" ]

null

from auth import * from utils import *

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1

0

1

0

6

f637c017ebd1f1c720a68bfffd5e21742871e100

11,008

py

Python

tests/test_feed_manager.py

exxamalte/python-aio-georss-client

045a8ad0b5f8969c5634b18bbb3360e085089432

[ "Apache-2.0" ]

null

tests/test_feed_manager.py

exxamalte/python-aio-georss-client

045a8ad0b5f8969c5634b18bbb3360e085089432

[ "Apache-2.0" ]

4

2020-12-30T10:54:30.000Z

2022-03-05T09:54:45.000Z

tests/test_feed_manager.py

exxamalte/python-aio-georss-client

045a8ad0b5f8969c5634b18bbb3360e085089432

[ "Apache-2.0" ]

1

2021-06-05T12:47:30.000Z

"""Test for the generic georss feed manager.""" import datetime import aiohttp import pytest from asynctest import CoroutineMock, patch from aio_georss_client.consts import UPDATE_OK_NO_DATA from aio_georss_client.feed_manager import FeedManagerBase from aio_georss_client.status_update import StatusUpdate from tests import MockGeoRssFeed from tests.utils import load_fixture HOME_COORDINATES_1 = (-31.0, 151.0) HOME_COORDINATES_2 = (-37.0, 150.0) @pytest.mark.asyncio async def test_feed_manager(aresponses, event_loop): """Test the feed manager.""" aresponses.add( "test.url", "/testpath", "get", aresponses.Response(text=load_fixture("generic_feed_1.xml"), status=200), ) async with aiohttp.ClientSession(loop=event_loop) as websession: feed = MockGeoRssFeed( websession, HOME_COORDINATES_1, "http://test.url/testpath" ) # This will just record calls and keep track of external ids. generated_entity_external_ids = [] updated_entity_external_ids = [] removed_entity_external_ids = [] async def _generate_entity(entity_external_id: str) -> None: """Generate new entity.""" generated_entity_external_ids.append(entity_external_id) async def _update_entity(entity_external_id: str) -> None: """Update entity.""" updated_entity_external_ids.append(entity_external_id) async def _remove_entity(entity_external_id: str) -> None: """Remove entity.""" removed_entity_external_ids.append(entity_external_id) feed_manager = FeedManagerBase( feed, _generate_entity, _update_entity, _remove_entity ) assert ( repr(feed_manager) == "<FeedManagerBase(" "feed=<MockGeoRssFeed(home=" "(-31.0, 151.0), " "url=http://test.url/testpath, " "radius=None, categories=None)>)>" ) await feed_manager.update() entries = feed_manager.feed_entries assert entries is not None assert len(entries) == 5 assert feed_manager.last_update is not None assert feed_manager.last_timestamp == datetime.datetime(2018, 9, 23, 9, 10) assert len(generated_entity_external_ids) == 5 assert len(updated_entity_external_ids) == 0 assert len(removed_entity_external_ids) == 0 feed_entry = entries.get("1234") assert feed_entry.title == "Title 1" assert feed_entry.external_id == "1234" assert feed_entry.coordinates == (-37.2345, 149.1234) assert round(abs(feed_entry.distance_to_home - 714.4), 1) == 0 assert repr(feed_entry) == "<MockFeedEntry(id=1234)>" feed_entry = entries.get("2345") assert feed_entry.title == "Title 2" assert feed_entry.external_id == "2345" feed_entry = entries.get("Title 3") assert feed_entry.title == "Title 3" assert feed_entry.external_id == "Title 3" external_id = hash((-37.8901, 149.7890)) feed_entry = entries.get(external_id) assert feed_entry.title is None assert feed_entry.external_id == external_id feed_entry = entries.get("5678") assert feed_entry.title == "Title 5" assert feed_entry.external_id == "5678" # Simulate an update with several changes. generated_entity_external_ids.clear() updated_entity_external_ids.clear() removed_entity_external_ids.clear() aresponses.add( "test.url", "/testpath", "get", aresponses.Response(text=load_fixture("generic_feed_4.xml"), status=200), ) await feed_manager.update() entries = feed_manager.feed_entries assert entries is not None assert len(entries) == 3 assert len(generated_entity_external_ids) == 1 assert len(updated_entity_external_ids) == 2 assert len(removed_entity_external_ids) == 3 feed_entry = entries.get("1234") assert feed_entry.title == "Title 1 UPDATED" feed_entry = entries.get("2345") assert feed_entry.title == "Title 2" feed_entry = entries.get("6789") assert feed_entry.title == "Title 6" # Simulate an update with no data. generated_entity_external_ids.clear() updated_entity_external_ids.clear() removed_entity_external_ids.clear() with patch( "aio_georss_client.feed.GeoRssFeed._fetch", new_callable=CoroutineMock ) as mock_fetch: mock_fetch.return_value = (UPDATE_OK_NO_DATA, None) await feed_manager.update() entries = feed_manager.feed_entries assert len(entries) == 3 assert len(generated_entity_external_ids) == 0 assert len(updated_entity_external_ids) == 0 assert len(removed_entity_external_ids) == 0 # Simulate an update producing an error. generated_entity_external_ids.clear() updated_entity_external_ids.clear() removed_entity_external_ids.clear() aresponses.add( "test.url", "/testpath", "get", aresponses.Response(status=500), ) await feed_manager.update() entries = feed_manager.feed_entries assert len(entries) == 0 assert len(generated_entity_external_ids) == 0 assert len(updated_entity_external_ids) == 0 assert len(removed_entity_external_ids) == 3 @pytest.mark.asyncio async def test_feed_manager_no_timestamp(aresponses, event_loop): """Test updating feed is ok.""" aresponses.add( "test.url", "/testpath", "get", aresponses.Response(text=load_fixture("generic_feed_5.xml"), status=200), ) async with aiohttp.ClientSession(loop=event_loop) as websession: feed = MockGeoRssFeed( websession, HOME_COORDINATES_1, "http://test.url/testpath" ) # This will just record calls and keep track of external ids. generated_entity_external_ids = [] updated_entity_external_ids = [] removed_entity_external_ids = [] async def _generate_entity(external_id: str) -> None: """Generate new entity.""" generated_entity_external_ids.append(external_id) async def _update_entity(external_id: str) -> None: """Update entity.""" updated_entity_external_ids.append(external_id) async def _remove_entity(external_id: str) -> None: """Remove entity.""" removed_entity_external_ids.append(external_id) feed_manager = FeedManagerBase( feed, _generate_entity, _update_entity, _remove_entity ) assert ( repr(feed_manager) == "<FeedManagerBase(" "feed=<MockGeoRssFeed(home=" "(-31.0, 151.0), " "url=http://test.url/testpath, " "radius=None, categories=None)>)>" ) await feed_manager.update() entries = feed_manager.feed_entries assert entries is not None assert len(entries) == 1 assert feed_manager.last_timestamp is None @pytest.mark.asyncio async def test_feed_manager_with_status_callback(aresponses, event_loop): """Test the feed manager.""" aresponses.add( "test.url", "/testpath", "get", aresponses.Response(text=load_fixture("generic_feed_1.xml"), status=200), ) async with aiohttp.ClientSession(loop=event_loop) as websession: feed = MockGeoRssFeed( websession, HOME_COORDINATES_1, "http://test.url/testpath" ) # This will just record calls and keep track of external ids. generated_entity_external_ids = [] updated_entity_external_ids = [] removed_entity_external_ids = [] status_update = [] async def _generate_entity(external_id: str) -> None: """Generate new entity.""" generated_entity_external_ids.append(external_id) async def _update_entity(external_id: str) -> None: """Update entity.""" updated_entity_external_ids.append(external_id) async def _remove_entity(external_id: str) -> None: """Remove entity.""" removed_entity_external_ids.append(external_id) async def _status(status_details: StatusUpdate) -> None: """Capture status update details.""" status_update.append(status_details) feed_manager = FeedManagerBase( feed, _generate_entity, _update_entity, _remove_entity, _status ) assert ( repr(feed_manager) == "<FeedManagerBase(feed=<" "MockGeoRssFeed(home=(-31.0, 151.0), " "url=http://test.url/testpath, " "radius=None, categories=None)>)>" ) await feed_manager.update() entries = feed_manager.feed_entries assert entries is not None assert len(entries) == 5 assert feed_manager.last_update is not None assert feed_manager.last_timestamp == datetime.datetime(2018, 9, 23, 9, 10) assert len(generated_entity_external_ids) == 5 assert len(updated_entity_external_ids) == 0 assert len(removed_entity_external_ids) == 0 assert status_update[0].status == "OK" assert status_update[0].last_update is not None last_update_successful = status_update[0].last_update_successful assert status_update[0].last_update == last_update_successful assert status_update[0].last_timestamp == datetime.datetime(2018, 9, 23, 9, 10) assert status_update[0].total == 5 assert status_update[0].created == 5 assert status_update[0].updated == 0 assert status_update[0].removed == 0 assert ( repr(status_update[0]) == f"<StatusUpdate(" f"OK@{status_update[0].last_update})>" ) # Simulate an update with no data. generated_entity_external_ids.clear() updated_entity_external_ids.clear() removed_entity_external_ids.clear() status_update.clear() aresponses.add( "test.url", "/testpath", "get", aresponses.Response(status=500), ) await feed_manager.update() entries = feed_manager.feed_entries assert len(entries) == 0 assert len(generated_entity_external_ids) == 0 assert len(updated_entity_external_ids) == 0 assert len(removed_entity_external_ids) == 5 assert status_update[0].status == "ERROR" assert status_update[0].last_update is not None assert status_update[0].last_update_successful is not None assert status_update[0].last_update_successful == last_update_successful assert status_update[0].total == 0

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null

0

1

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null

0

6

f645b35a3f598d1f22f2b643f487c8efb6595b82

108

py

Python

psam/src/login.py

snwdaaa/PSAchivementManager

403b9de5a25ca0a8c07ccd552b27157d53843def

[ "MIT" ]

null

psam/src/login.py

snwdaaa/PSAchivementManager

403b9de5a25ca0a8c07ccd552b27157d53843def

[ "MIT" ]

null

psam/src/login.py

snwdaaa/PSAchivementManager

403b9de5a25ca0a8c07ccd552b27157d53843def

[ "MIT" ]

null

# 유저 정보 onlineID = "kkj48188" npssoCode = '4SDFJNJ6twByuLa3Bd7fPSqi4A7L1xxKaxhRP5tRnjvYEVDNhYxM4XxwaRej6BHi'

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0

1

0

1

0

false

0

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0

1

null

0

1

0

1

null

1

0

6

f64a0d8fe742ec413571e090fda572c44f5ee5f4

92

py

Python

mxdc/com/ca.py

michel4j/mxdc

844f0854cc696553c8a51f8e9b5b06a8e4345261

[ "BSD-3-Clause" ]

2

2018-10-23T19:05:40.000Z

2021-03-18T20:06:32.000Z

mxdc/com/ca.py

michel4j/mxdc

844f0854cc696553c8a51f8e9b5b06a8e4345261

[ "BSD-3-Clause" ]

null

mxdc/com/ca.py

michel4j/mxdc

844f0854cc696553c8a51f8e9b5b06a8e4345261

[ "BSD-3-Clause" ]

null

from gepics import * # Use pyepics #from .oepics import * # use built-in epics interface

46

55

0.717391

13

92

5.076923

0.769231

0.272727

0

0.206522

92

2

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0

1

0

true

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null

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0

null

0

1

0

1

0

1

0

6

f65afb7425d58fcccea48f5d1a5dd2fb53425e5e

168

py

Python

cityyouthmatrix/apps/api/models.py

johnathaningle/CityYouthMatrix

b4ad244d92c97f3e20a923e18babf1ed1d278a87

[ "MIT" ]

1

2020-06-13T11:26:31.000Z

cityyouthmatrix/apps/api/models.py

jingle1000/CityYouthMatrix

b4ad244d92c97f3e20a923e18babf1ed1d278a87

[ "MIT" ]

2

2021-03-30T13:37:26.000Z

2021-04-08T21:01:26.000Z

cityyouthmatrix/apps/api/models.py

johnathaningle/CityYouthMatrix

b4ad244d92c97f3e20a923e18babf1ed1d278a87

[ "MIT" ]

null

from django.contrib.auth.models import AbstractUser from django.utils.translation import gettext_lazy as _ from django.db import models from django.db.models import Q

28

54

0.839286

26

168

5.346154

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0.172662

0

0.113095

168

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0

1

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true

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1

0

null

0

1

0

1

0

1

0

6

14461bbda815ddf288c90e8650a293f9db927857

196

py

Python

ker/api/__init__.py

csvwolf/ker.py

ac86e1f01cdef0f3ae8b45022df20e8f4fcc9a76

[ "MIT" ]

5

2019-09-30T08:40:53.000Z

2019-10-14T10:22:06.000Z

ker/api/__init__.py

csvwolf/ker.py

ac86e1f01cdef0f3ae8b45022df20e8f4fcc9a76

[ "MIT" ]

null

ker/api/__init__.py

csvwolf/ker.py

ac86e1f01cdef0f3ae8b45022df20e8f4fcc9a76

[ "MIT" ]

null

""" export apis to root """ from ker.api.list import * from ker.api.account import * from ker.api.dns import * from ker.api.monitor import * from ker.api.server import * from ker.api.ssh import *

19.6

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144cd6b86121304aeccdfbcbfd145d4319dedbf7

66

py

Python

gputools/separable/__init__.py

gmazzamuto/gputools

73a4dee76a119f94d8163781a85b691fd080d506

[ "BSD-3-Clause" ]

89

2015-08-28T14:17:33.000Z

2022-01-20T16:19:34.000Z

gputools/separable/__init__.py

gmazzamuto/gputools

73a4dee76a119f94d8163781a85b691fd080d506

[ "BSD-3-Clause" ]

24

2015-08-28T19:06:22.000Z

2022-02-21T21:10:13.000Z

gputools/separable/__init__.py

gmazzamuto/gputools

73a4dee76a119f94d8163781a85b691fd080d506

[ "BSD-3-Clause" ]

17

2015-08-28T18:56:43.000Z

2021-09-15T23:15:36.000Z

from .separable_approx import separable_approx, separable_series

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1

0

1

0

6

21152fc28a6ca5d535b00e0f61e26e6bb25fcdca

111

py

Python

linkify_it/__init__.py

tsutsu3/linkify-it-py

d7e3b77bbac4b4a9d61dcd7a9c47d74acc927831

[ "MIT" ]

7

2020-12-13T19:42:39.000Z

2021-12-31T17:35:26.000Z

linkify_it/__init__.py

tsutsu3/linkify-it-py

d7e3b77bbac4b4a9d61dcd7a9c47d74acc927831

[ "MIT" ]

23

2020-11-10T13:40:12.000Z

2021-12-21T09:13:13.000Z

linkify_it/__init__.py

tsutsu3/linkify-it-py

d7e3b77bbac4b4a9d61dcd7a9c47d74acc927831

[ "MIT" ]

2

2021-11-14T20:35:11.000Z

2021-12-13T13:39:07.000Z

from .main import LinkifyIt # noqa: F401p from .main import SchemaError # noqa: F401p __version__ = "1.0.2"

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0

null

0

1

0

1

0

6

21236b97bbfc3c05665a0b5d9998b2d8d125d063

16,676

py

Python

velkozz_web_api/apps/finance_api/model_views_seralizers/market_index/market_indicies_views.py

velkoz-data-ingestion/velkozz_web_api

519a6a90e5fdf5bab8ba2daf637768c5fd424a12

[ "MIT" ]

null

velkozz_web_api/apps/finance_api/model_views_seralizers/market_index/market_indicies_views.py

velkoz-data-ingestion/velkozz_web_api

519a6a90e5fdf5bab8ba2daf637768c5fd424a12

[ "MIT" ]

null

velkozz_web_api/apps/finance_api/model_views_seralizers/market_index/market_indicies_views.py

velkoz-data-ingestion/velkozz_web_api

519a6a90e5fdf5bab8ba2daf637768c5fd424a12

[ "MIT" ]

null

# Importing Django Methods: from django.shortcuts import render from rest_framework import viewsets from rest_framework.decorators import api_view from rest_framework.response import Response from rest_framework.permissions import IsAuthenticated from django.contrib.auth.models import Permission # Importing Data Management Packages: import json # Importing the Market Index Seralizers, Database Models and Base ModelViewSets: from accounts.views import AbstractModelViewSet from finance_api.models.market_indicies.market_indicies_models import * from .market_indicies_serializers import * # Market Indicies ModelViewSet class SPYIndexCompositionViewSet(AbstractModelViewSet): """The ViewSets providing the REST API routes for the SPYIndexComposition database table. """ queryset = SPYIndexComposition.objects.all() serializer_class = SPYIndexSerializer def list(self, request): """The ViewSet method overwritten that contains the logic for processing GET requests to the SPY Index database table. """ # Creating a context dict to be populated: context = {} context['request'] = request # Querying all of the data from the database: queryset = SPYIndexComposition.objects.all() serializer = SPYIndexSerializer(queryset, many=True, context=context) return Response(serializer.data) def create(self, request): """The ViewSet method that contains logic for processing POST requests to the SPY Index database table. """ # Creating a context dict to be populated: context = {} context['request'] = request queryset = SPYIndexComposition.objects.all() serializer = SPYIndexSerializer(queryset, many=True, context=context) # Extracting the json content from the request body: if request.body: # Loading all data from the request body: body_content = json.loads(request.body) # Creating or Updating existing model instance via list comprehension: django_objs_lst = [ SPYIndexComposition.objects.update_or_create( cik= json["CIK"], defaults = { "symbol" : json["Symbol"], "security_name" : json["Security"], 'gics_sector' : json["GICS Sector"], 'gics_sub_industry' : json["GICS Sub-Industry"], 'headquarters_location' : json["Headquarters Location"], 'date_added' : json["Date first added"], 'founded' : json["Founded"]} ) for json in body_content] return Response(serializer.data) class DJIAIndexCompositionViewSet(AbstractModelViewSet): """The ViewSets providing the REST API routes for the DJIAIndexComposition database table. """ queryset = DJIAIndexComposition.objects.all() serializer_class = DJIAIndexSerializer def list(self, request): """Method that contains logic for processing GET request to the DJIA Index database table. """ # Creating a context dict to be populated: context = {} context['request'] = request # Querying all of the data from the database: queryset = DJIAIndexComposition.objects.all() serializer = DJIAIndexSerializer(queryset, many=True, context=context) return Response(serializer.data) def create(self, request): """The ViewSet method that contains logic for processing POST requests to the DJIA Index database table. """ # Creating a context dict to be populated: context = {} context['request'] = request queryset = DJIAIndexComposition.objects.all() serializer = DJIAIndexSerializer(queryset, many=True, context=context) # Extracting the json content from the request body: if request.body: # Loading all data from the request body: body_content = json.loads(request.body) # Creating or Updating existing model instance via list comprehension: django_objs_lst = [ DJIAIndexComposition.objects.update_or_create( company = json["Company"], defaults = { 'exchange' : json["Exchange"], 'symbol' : json["Symbol"], 'industry' : json["Industry"], 'date_added' : json["Date added"], 'notes' : json["Notes"], 'weighting' : json[list(json)[-1]] } ) for json in body_content] return Response(serializer.data) class SPTSXIndexCompositionViewSet(AbstractModelViewSet): """The ViewSets providing the REST API routes for the SPTSXIndexComposition database table. """ queryset = SPTSXIndexComposition.objects.all() serializer_class = SPTSXIndexSerializer def list(self, request): """The ViewSet method for processing GET requests to the SPTSX Index Database table. """ # Creating a context dict to be populated: context = {} context["request"] = request queryset = SPTSXIndexComposition.objects.all() serializer = SPTSXIndexSerializer(queryset, many=True, context=context) return Response(serializer.data) def create(self, request): """The ViewSet method that contains logic for processing POST requests to the SPTSX Index database table. """ # Creating a context dict to be populated: context = {} context['request'] = request queryset = SPTSXIndexComposition.objects.all() serializer = SPTSXIndexSerializer(queryset, many=True, context=context) # Extracting the json content from the request body: if request.body: # Loading all data from the request body: body_content = json.loads(request.body) # Creating or Updating existing model instance via list comprehension: django_objs_lst = [ SPTSXIndexComposition.objects.update_or_create( symbol = json["Symbol"], defaults = { 'company' : json["Company"], 'sector' : json["Sector [5]"], 'industry' : json["Industry [5]"] } ) for json in body_content] return Response(serializer.data) class FTSE100IndexCompositionViewSet(AbstractModelViewSet): """The ViewSets providing the REST API routes for the FTSE100IndexComposition database table. """ queryset = FTSE100IndexComposition.objects.all() serializer_class = FTSE100IndexSerializer def list(self, request): """The ViewSet method for processing GET requests to the SPTSX Index Database table. """ # Creating a context dict to be populated: context = {} context["request"] = request queryset = FTSE100IndexComposition.objects.all() serializer = FTSE100IndexSerializer(queryset, many=True, context=context) return Response(serializer.data) def create(self, request): """The ViewSet method that contains logic for processing POST requests to the FTSE100 Index database table. """ # Creating a context dict to be populated: context = {} context['request'] = request queryset = FTSE100IndexSerializer.objects.all() serializer = FTSE100IndexSerializer(queryset, many=True, context=context) # Extracting the json content from the request body: if request.body: # Loading all data from the request body: body_content = json.loads(request.body) # Creating or Updating existing model instance via list comprehension: django_objs_lst = [ FTSE100IndexComposition.objects.update_or_create( symbol = json["Company"], defaults = { 'symbol' : json["EPIC"], 'industry' : json["FTSE Industry Classification Benchmark sector[13]"] } ) for json in body_content] return Response(serializer.data) class SMICompositionViewSet(AbstractModelViewSet): """The ViewSets providing the REST API routes for the SMIComposition database table. """ queryset = SMIComposition.objects.all() serializer_class = SMISerializer def list(self, request): """The ViewSet method for processing GET requests to the SMI Index Database table. """ # Creating a context dict to be populated: context = {} context["request"] = request queryset = SMIComposition.objects.all() serializer = SMISerializer(queryset, many=True, context=context) return Response(serializer.data) def create(self, request): """The ViewSet method that contains logic for processing POST requests to the SMI Index database table. """ # Creating a context dict to be populated: context = {} context['request'] = request queryset = SMIComposition.objects.all() serializer = SMISerializer(queryset, many=True, context=context) # Extracting the json content from the request body: if request.body: # Loading all data from the request body: body_content = json.loads(request.body) # Creating or Updating existing model instance via list comprehension: django_objs_lst = [ SMIComposition.objects.update_or_create( symbol = json["Ticker"], defaults = { 'rank' : json["Rank"], 'company': json["Name"], 'industry' : json["Industry"], 'canton' : json["Canton"], "weighting" : json["Weighting in\xa0%"] } ) for json in body_content] return Response(serializer.data) class SPICompositionViewSet(AbstractModelViewSet): """ The ViewSets providing the REST API routes for the SPIComposition database table. """ queryset = SPIComposition.objects.all() serializer_class = SPISerializer def list(self, request): """The ViewSet method for processing GET requests to the Swiss Performance Index Database table. """ # Creating a context dict to be populated: context = {} context["request"] = request queryset = SPIComposition.objects.all() serializer = SPISerializer(queryset, many=True, context=context) return Response(serializer.data) def create(self, request): """The ViewSet method that contains logic for processing POST requests to the Swiss Performance Index database table. """ # Creating a context dict to be populated: context = {} context['request'] = request queryset = SPIComposition.objects.all() serializer = SPISerializer(queryset, many=True, context=context) # Extracting the json content from the request body: if request.body: # Loading all data from the request body: body_content = json.loads(request.body) # Creating or Updating existing model instance via list comprehension: django_objs_lst = [ SPIComposition.objects.update_or_create( symbol = json["Symbol"], defaults = { 'company' : json["Company"], 'smi_family': json["SMI Family"], 'date_added' : json["Listing"], 'notes' : json["Remarks"] } ) for json in body_content] return Response(serializer.data) class NASDAQCompositionViewSet(AbstractModelViewSet): """ The ViewSets providing the REST API routes for the NASDAQ database table. """ queryset = NASDAQComposition.objects.all() serializer_class = NASDAQSerializer def list(self, request): """The ViewSet method for processing GET requests to the NASDAQ Index Database table. """ # Creating a context dict to be populated: context = {} context["request"] = request queryset = NASDAQComposition.objects.all() serializer = NASDAQSerializer(queryset, many=True, context=context) return Response(serializer.data) def create(self, request): """The ViewSet method that contains logic for processing POST requests to the NASDAQ Index database table. """ # Creating a context dict to be populated: context = {} context['request'] = request queryset = NASDAQComposition.objects.all() serializer = NASDAQSerializer(queryset, many=True, context=context) # Extracting the json content from the request body: if request.body: # Loading all data from the request body: body_content = json.loads(request.body) # Creating or Updating existing model instance via list comprehension: django_objs_lst = [ NASDAQComposition.objects.update_or_create( symbol = json["Symbol"], defaults = { 'company' : json["Company"], 'market_cap': json["Market Cap"], 'country' : json["Country"], 'ipo_year' : json["IPO Year"], 'sector' : json["Sector"], 'industry' : json["Industry"] } ) for json in body_content] return Response(serializer.data) class NYSECompositionViewSet(AbstractModelViewSet): """ The ViewSets providing the REST API routes for the NYSE database table. """ queryset = NYSEComposition.objects.all() serializer_class = NYSESerializer def list(self, request): """The ViewSet method for processing GET requests to the NYSE Index Database table. """ # Creating a context dict to be populated: context = {} context["request"] = request queryset = NYSEComposition.objects.all() serializer = NYSESerializer(queryset, many=True, context=context) return Response(serializer.data) def create(self, request): """The ViewSet method that contains logic for processing POST requests to the NYSE Index database table. """ # Creating a context dict to be populated: context = {} context['request'] = request queryset = NYSEComposition.objects.all() serializer = NYSESerializer(queryset, many=True, context=context) # Extracting the json content from the request body: if request.body: # Loading all data from the request body: body_content = json.loads(request.body) # Creating or Updating existing model instance via list comprehension: django_objs_lst = [ NYSEComposition.objects.update_or_create( symbol = json["Symbol"], defaults = { 'company' : json["Company"], 'market_cap': json["Market Cap"], 'country' : json["Country"], 'ipo_year' : json["IPO Year"], 'sector' : json["Sector"], 'industry' : json["Industry"] } ) for json in body_content] return Response(serializer.data)

36.893805

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0

null

0

1

0

1

0

null

0

6

216a46c38b5c8a45caaede810cec43986028719f

5,568

py

Python

tests/test_plotting.py

harrisong/lifetimes

12708827fdeb777bce8149ccee41ba19c5ab009b

[ "MIT" ]

2

2017-10-19T10:28:20.000Z

2019-12-17T03:23:45.000Z

tests/test_plotting.py

harrisong/lifetimes

12708827fdeb777bce8149ccee41ba19c5ab009b

[ "MIT" ]

1

2021-09-08T11:04:27.000Z

tests/test_plotting.py

isabella232/lifetimes

afb8456df7e9b5df0ea2312c718ae82afcb2f0f8

[ "MIT" ]

2

2019-12-17T03:23:47.000Z

2021-09-08T09:32:44.000Z

import pytest import matplotlib matplotlib.use('AGG') # use a non-interactive backend from matplotlib import pyplot as plt from lifetimes import plotting from lifetimes import BetaGeoFitter, ParetoNBDFitter, ModifiedBetaGeoFitter from lifetimes.datasets import load_cdnow_summary, load_transaction_data from lifetimes import utils bgf = BetaGeoFitter() cd_data = load_cdnow_summary() bgf.fit(cd_data['frequency'], cd_data['recency'], cd_data['T'], iterative_fitting=1) @pytest.mark.plottest class TestPlotting(): @pytest.mark.mpl_image_compare(tolerance=30) def test_plot_period_transactions(self): plt.figure() plotting.plot_period_transactions(bgf) return plt.gcf() @pytest.mark.mpl_image_compare(tolerance=30) def test_plot_period_transactions_parento(self): pnbd = ParetoNBDFitter() pnbd.fit(cd_data['frequency'], cd_data['recency'], cd_data['T'], iterative_fitting=1) plt.figure() plotting.plot_period_transactions(pnbd) return plt.gcf() @pytest.mark.mpl_image_compare(tolerance=30) def test_plot_period_transactions_mbgf(self): mbgf = ModifiedBetaGeoFitter() mbgf.fit(cd_data['frequency'], cd_data['recency'], cd_data['T'], iterative_fitting=1) plt.figure() plotting.plot_period_transactions(mbgf) return plt.gcf() @pytest.mark.mpl_image_compare(tolerance=30) def test_plot_period_transactions_max_frequency(self): plt.figure() plotting.plot_period_transactions(bgf, max_frequency=12) return plt.gcf() @pytest.mark.mpl_image_compare(tolerance=30) def test_plot_period_transactions_labels(self): plt.figure() plotting.plot_period_transactions(bgf, label=['A', 'B']) return plt.gcf() @pytest.mark.mpl_image_compare(tolerance=30) def test_plot_frequency_recency_matrix(self): plt.figure() plotting.plot_frequency_recency_matrix(bgf) return plt.gcf() @pytest.mark.mpl_image_compare(tolerance=30) def test_plot_frequency_recency_matrix_max_recency(self): plt.figure() plotting.plot_frequency_recency_matrix(bgf, max_recency=100) return plt.gcf() @pytest.mark.mpl_image_compare(tolerance=30) def test_plot_frequency_recency_matrix_max_frequency(self): plt.figure() plotting.plot_frequency_recency_matrix(bgf, max_frequency=100) return plt.gcf() @pytest.mark.mpl_image_compare(tolerance=30) def test_plot_frequency_recency_matrix_max_frequency_max_recency(self): plt.figure() plotting.plot_frequency_recency_matrix(bgf, max_frequency=100, max_recency=100) return plt.gcf() @pytest.mark.mpl_image_compare(tolerance=30) def test_plot_probability_alive_matrix(self): plt.figure() plotting.plot_probability_alive_matrix(bgf) return plt.gcf() @pytest.mark.mpl_image_compare(tolerance=30) def test_plot_probability_alive_matrix_max_frequency(self): plt.figure() plotting.plot_probability_alive_matrix(bgf, max_frequency=100) return plt.gcf() @pytest.mark.mpl_image_compare(tolerance=30) def test_plot_probability_alive_matrix_max_recency(self): plt.figure() plotting.plot_probability_alive_matrix(bgf, max_recency=100) return plt.gcf() @pytest.mark.mpl_image_compare(tolerance=30) def test_plot_probability_alive_matrix_max_frequency_max_recency(self): plt.figure() plotting.plot_probability_alive_matrix(bgf, max_frequency=100, max_recency=100) return plt.gcf() @pytest.mark.mpl_image_compare(tolerance=30) def test_plot_expected_repeat_purchases(self): plt.figure() plotting.plot_expected_repeat_purchases(bgf) return plt.gcf() @pytest.mark.mpl_image_compare(tolerance=30) def test_plot_expected_repeat_purchases_with_label(self): plt.figure() plotting.plot_expected_repeat_purchases(bgf, label='test label') return plt.gcf() @pytest.mark.mpl_image_compare(tolerance=30) def test_plot_customer_alive_history(self): plt.figure() transaction_data = load_transaction_data() # yes I know this is using the wrong data, but I'm testing plotting here. id = 35 days_since_birth = 200 sp_trans = transaction_data.loc[transaction_data['id'] == id] plotting.plot_history_alive(bgf, days_since_birth, sp_trans, 'date') return plt.gcf() @pytest.mark.mpl_image_compare(tolerance=30) def test_plot_calibration_purchases_vs_holdout_purchases(self): transaction_data = load_transaction_data() summary = utils.calibration_and_holdout_data(transaction_data, 'id', 'date', '2014-09-01', '2014-12-31') bgf.fit(summary['frequency_cal'], summary['recency_cal'], summary['T_cal']) plt.figure() plotting.plot_calibration_purchases_vs_holdout_purchases(bgf, summary) return plt.gcf() @pytest.mark.mpl_image_compare(tolerance=30) def test_plot_calibration_purchases_vs_holdout_purchases_time_since_last_purchase(self): transaction_data = load_transaction_data() summary = utils.calibration_and_holdout_data(transaction_data, 'id', 'date', '2014-09-01', '2014-12-31') bgf.fit(summary['frequency_cal'], summary['recency_cal'], summary['T_cal']) plt.figure() plotting.plot_calibration_purchases_vs_holdout_purchases(bgf, summary, kind='time_since_last_purchase') return plt.gcf()

38.136986

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null

0

1

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null

0

6

dcbea5908540d97be2f03cafd3338e4c50df7af0

16,147

py

Python

agents/college_admission_jury_test.py

jackblandin/ml-fairness-gym

dce1feaacf2588e0a2d6187e896796241a25ed81

[ "Apache-2.0" ]

null

agents/college_admission_jury_test.py

jackblandin/ml-fairness-gym

dce1feaacf2588e0a2d6187e896796241a25ed81

[ "Apache-2.0" ]

null

agents/college_admission_jury_test.py

jackblandin/ml-fairness-gym

dce1feaacf2588e0a2d6187e896796241a25ed81

[ "Apache-2.0" ]

null

# coding=utf-8 # Copyright 2022 The ML Fairness Gym Authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from __future__ import absolute_import from __future__ import division from __future__ import print_function from absl.testing import absltest import core import params import test_util from agents import college_admission_jury from environments import college_admission import numpy as np class FixedJuryTest(absltest.TestCase): def test_fixed_agent_simulation_runs_successfully(self): env = college_admission.CollegeAdmissionsEnv() agent = college_admission_jury.FixedJury( action_space=env.action_space, observation_space=env.observation_space, reward_fn=(lambda x: 0), threshold=0.7) test_util.run_test_simulation(env=env, agent=agent, stackelberg=True) def test_agent_raises_episode_done_error(self): env = college_admission.CollegeAdmissionsEnv() agent = college_admission_jury.FixedJury( action_space=env.action_space, observation_space=env.observation_space, reward_fn=(lambda x: 0), threshold=0.7) with self.assertRaises(core.EpisodeDoneError): agent.act( observation={ 'threshold': np.array(0.5), 'epsilon_prob': np.array(0) }, done=True) def test_agent_raises_invalid_observation_error(self): env = college_admission.CollegeAdmissionsEnv() agent = college_admission_jury.FixedJury( action_space=env.action_space, observation_space=env.observation_space, reward_fn=(lambda x: 0), threshold=0.7) with self.assertRaises(core.InvalidObservationError): agent.act(observation={0: 'Invalid Observation'}, done=False) def test_agent_produces_zero_no_epsilon_greedy(self): env = college_admission.CollegeAdmissionsEnv() agent = college_admission_jury.FixedJury( action_space=env.action_space, observation_space=env.observation_space, reward_fn=(lambda x: 0), threshold=0.7, epsilon_greedy=False) epsilon_probs = [agent.initial_action()['epsilon_prob'] for _ in range(10)] self.assertEqual(epsilon_probs, [0] * 10) def test_agent_produces_different_epsilon_with_epsilon_greedy(self): env = college_admission.CollegeAdmissionsEnv() agent = college_admission_jury.FixedJury( action_space=env.action_space, observation_space=env.observation_space, reward_fn=(lambda x: 0), threshold=0.7, epsilon_greedy=True) obs, _, done, _ = env.step(agent.initial_action()) epsilon_probs = [float(agent.initial_action()['epsilon_prob'])] epsilon_probs.extend( [float(agent.act(obs, done)['epsilon_prob']) for _ in range(10)]) self.assertGreater(len(set(epsilon_probs)), 1) def test_epsilon_prob_decays_as_expected(self): env = college_admission.CollegeAdmissionsEnv() agent = college_admission_jury.FixedJury( action_space=env.action_space, observation_space=env.observation_space, reward_fn=(lambda x: 0), threshold=0.7, epsilon_greedy=True, initial_epsilon_prob=0.3, decay_steps=5, epsilon_prob_decay_rate=0.001) obs, _, done, _ = env.step(agent.initial_action()) epsilon_probs = [float(agent.initial_action()['epsilon_prob'])] epsilon_probs.extend( [float(agent.act(obs, done)['epsilon_prob']) for _ in range(2)]) self.assertTrue( np.all(np.isclose(epsilon_probs, [0.3, 0.0753, 0.0189], atol=1e-2))) class NaiveJuryTest(absltest.TestCase): def test_jury_successfully_initializes(self): env = college_admission.CollegeAdmissionsEnv() agent = college_admission_jury.NaiveJury( action_space=env.action_space, observation_space=env.observation_space, reward_fn=(lambda x: 0), threshold=0.7) self.assertEqual(agent.initial_action()['threshold'], 0.7) self.assertEqual(agent.initial_action()['epsilon_prob'], 0) def test_simple_classifier_simulation_runs_successfully(self): env = college_admission.CollegeAdmissionsEnv() agent = college_admission_jury.NaiveJury( action_space=env.action_space, observation_space=env.observation_space, reward_fn=(lambda x: 0), threshold=0.7) test_util.run_test_simulation(env=env, agent=agent, stackelberg=True) def test_get_default_features_returns_same_features(self): """Checks that the feature selection fn works as expected.""" observations = { 'test_scores_y': [0.2, 0.3, 0.4, 0.5, 0.6], 'selected_ground_truth': [1, 0, 2, 1, 2], 'selected_applicants': [1, 1, 0, 1, 0] } env = college_admission.CollegeAdmissionsEnv() agent = college_admission_jury.NaiveJury( action_space=env.action_space, observation_space=env.observation_space, reward_fn=(lambda x: 0), threshold=0.7) features = agent._get_default_features(observations) self.assertListEqual(features, [0.2, 0.3, 0.5]) def test_label_fn_returns_correct_labels(self): """Checks that the label function works as expected.""" observations = { 'test_scores_y': [0.2, 0.3, 0.4, 0.5, 0.6], 'selected_ground_truth': [1, 0, 2, 1, 2], 'selected_applicants': [1, 1, 0, 1, 0] } env = college_admission.CollegeAdmissionsEnv() agent = college_admission_jury.NaiveJury( action_space=env.action_space, observation_space=env.observation_space, reward_fn=(lambda x: 0), threshold=0.7) labels = agent._label_fn(observations) self.assertListEqual(labels, [1, 0, 1]) def test_agent_returns_same_threshold_till_burnin_and_then_change(self): """Tests that agent returns same threshold till burnin without freezing.""" env = college_admission.CollegeAdmissionsEnv() agent = college_admission_jury.NaiveJury( action_space=env.action_space, observation_space=env.observation_space, reward_fn=(lambda x: 0), threshold=0.3, burnin=4, freeze_classifier_after_burnin=False) test_util.run_test_simulation( env=env, agent=agent, num_steps=10, stackelberg=True) actions = [float(action['threshold']) for _, action in env.history] self.assertEqual(set(actions[:4]), {0.3}) self.assertGreater(len(set(actions)), 4) def test_agent_returns_same_threshold_till_burnin_learns_and_freezes(self): """Tests that agent returns same threshold till burnin and freezes after.""" env = college_admission.CollegeAdmissionsEnv() agent = college_admission_jury.NaiveJury( action_space=env.action_space, observation_space=env.observation_space, reward_fn=(lambda x: 0), threshold=0.3, burnin=4, freeze_classifier_after_burnin=True) test_util.run_test_simulation( env=env, agent=agent, num_steps=10, stackelberg=True) actions = [float(action['threshold']) for _, action in env.history] self.assertEqual(set(actions[:4]), {0.3}) self.assertLen(set(actions), 3) def test_agent_returns_correct_threshold(self): env = college_admission.CollegeAdmissionsEnv( user_params={ 'gaming': False, 'subsidize': False, 'noise_params': params.BoundedGaussian(max=0.3, min=0, sigma=0, mu=0.1), 'feature_params': params.GMM(mix_weight=[0.5, 0.5], mu=[0.5, 0.5], sigma=[0.1, 0.1]) }) agent = college_admission_jury.NaiveJury( action_space=env.action_space, observation_space=env.observation_space, reward_fn=(lambda x: 0), threshold=0, burnin=9, freeze_classifier_after_burnin=True) test_util.run_test_simulation( env=env, agent=agent, num_steps=10, stackelberg=True) learned_threshold = env.history[-1].action['threshold'] self.assertTrue(np.isclose(learned_threshold, 0.55, atol=1e-2)) class RobustJuryTest(absltest.TestCase): def test_robust_classifier_simulation_runs_successfully(self): env = college_admission.CollegeAdmissionsEnv() agent = college_admission_jury.RobustJury( action_space=env.action_space, observation_space=env.observation_space, reward_fn=(lambda x: 0), group_cost=env.initial_params.group_cost, burnin=10) test_util.run_test_simulation(env=env, agent=agent, stackelberg=True) def test_correct_max_score_change_calculated_no_subsidy(self): """Tests that the max gaming steps gives output as expected.""" env = college_admission.CollegeAdmissionsEnv( user_params={ 'group_cost': { 0: 2, 1: 4 }, 'subsidize': False, 'subsidy_beta': 0.6, 'gaming_control': np.inf }) agent = college_admission_jury.RobustJury( action_space=env.action_space, observation_space=env.observation_space, reward_fn=(lambda x: 0), group_cost=env.initial_params.group_cost, subsidize=env.initial_params.subsidize, subsidy_beta=env.initial_params.subsidy_beta, gaming_control=env.initial_params.gaming_control) obs, _, _, _ = env.step(agent.initial_action()) max_change = agent._get_max_allowed_score_change(obs) self.assertEqual(max_change, [0.5, 0.25]) def test_correct_max_score_change_calculated_with_subsidy(self): """Tests that the max gaming steps gives output as expected.""" env = college_admission.CollegeAdmissionsEnv( user_params={ 'group_cost': { 0: 2, 1: 4 }, 'subsidize': True, 'subsidy_beta': 0.8, 'gaming_control': np.inf }) agent = college_admission_jury.RobustJury( action_space=env.action_space, observation_space=env.observation_space, reward_fn=(lambda x: 0), group_cost=env.initial_params.group_cost, subsidize=env.initial_params.subsidize, subsidy_beta=env.initial_params.subsidy_beta, gaming_control=env.initial_params.gaming_control) obs, _, _, _ = env.step(agent.initial_action()) max_change = agent._get_max_allowed_score_change(obs) self.assertEqual(max_change, [0.5, 0.3125]) def test_correct_robust_threshold_returned(self): env = college_admission.CollegeAdmissionsEnv() agent = college_admission_jury.RobustJury( action_space=env.action_space, observation_space=env.observation_space, reward_fn=(lambda x: 0), group_cost=env.initial_params.group_cost) agent._features = [0.1, 0.2, 0.4, 0.4, 0.5, 0.6, 0.7, 0.8] agent._labels = [0, 0, 1, 0, 0, 1, 1, 1] agent._train_model() self.assertEqual(agent._threshold, 0.6) def test_features_manipulated_to_maximum_limit_with_no_control(self): env = college_admission.CollegeAdmissionsEnv(user_params={ 'num_applicants': 5, 'gaming_control': np.inf, 'group_cost': { 0: 2, 1: 4 } }) agent = college_admission_jury.RobustJury( action_space=env.action_space, observation_space=env.observation_space, reward_fn=(lambda x: 0), group_cost=env.initial_params.group_cost) observations = { 'test_scores_y': np.asarray([0.2, 0.3, 0.4, 0.5, 0.4]), 'selected_applicants': np.asarray([0, 1, 0, 1, 1]), 'selected_ground_truth': np.asarray([2, 0, 2, 1, 1]), 'applicant_groups': np.asarray([0, 1, 1, 0, 1]) } agent.act(observations, done=False) self.assertTrue( np.all( np.isclose( agent._get_maximum_manipulated_features(observations), [0.55, 1.0, 0.65], atol=1e-4))) self.assertEqual(agent._features, agent._get_maximum_manipulated_features(observations)) def test_features_manipulated_to_maximum_limit_with_gaming_control(self): env = college_admission.CollegeAdmissionsEnv(user_params={ 'num_applicants': 5, 'gaming_control': 0.3, 'group_cost': { 0: 2, 1: 4, } }) agent = college_admission_jury.RobustJury( action_space=env.action_space, observation_space=env.observation_space, reward_fn=(lambda x: 0), group_cost=env.initial_params.group_cost, gaming_control=env.initial_params.gaming_control) observations = { 'test_scores_y': np.asarray([0.2, 0.3, 0.4, 0.5, 0.4]), 'selected_applicants': np.asarray([0, 1, 0, 1, 1]), 'selected_ground_truth': np.asarray([2, 0, 2, 1, 1]), 'applicant_groups': np.asarray([0, 1, 1, 0, 1]) } self.assertTrue( np.all( np.isclose( agent._get_maximum_manipulated_features(observations), [0.55, 0.8, 0.65], atol=1e-4))) def test_features_manipulated_to_maximum_limit_with_control_epsilon_greedy( self): env = college_admission.CollegeAdmissionsEnv(user_params={ 'num_applicants': 5, 'gaming_control': 0.3, 'group_cost': { 0: 2, 1: 4, } }) agent = college_admission_jury.RobustJury( action_space=env.action_space, observation_space=env.observation_space, reward_fn=(lambda x: 0), group_cost=env.initial_params.group_cost, gaming_control=env.initial_params.gaming_control, epsilon_greedy=True, initial_epsilon_prob=0.2) observations = { 'test_scores_y': np.asarray([0.2, 0.3, 0.4, 0.5, 0.4]), 'selected_applicants': np.asarray([0, 1, 0, 1, 1]), 'selected_ground_truth': np.asarray([2, 0, 2, 1, 1]), 'applicant_groups': np.asarray([0, 1, 1, 0, 1]) } self.assertTrue( np.all( np.isclose( agent._get_maximum_manipulated_features(observations), [0.5, 0.8, 0.6], atol=1e-4))) def test_features_manipulated_to_maximum_limit_no_control_epsilon_greedy( self): env = college_admission.CollegeAdmissionsEnv(user_params={ 'num_applicants': 5, 'gaming_control': np.inf, 'group_cost': { 0: 2, 1: 4, } }) agent = college_admission_jury.RobustJury( action_space=env.action_space, observation_space=env.observation_space, reward_fn=(lambda x: 0), group_cost=env.initial_params.group_cost, gaming_control=env.initial_params.gaming_control, epsilon_greedy=True, initial_epsilon_prob=0.2) observations = { 'test_scores_y': np.asarray([0.2, 0.3, 0.4, 0.5, 0.4]), 'selected_applicants': np.asarray([0, 1, 0, 1, 1]), 'selected_ground_truth': np.asarray([2, 0, 2, 1, 1]), 'applicant_groups': np.asarray([0, 1, 1, 0, 1]) } self.assertTrue( np.all( np.isclose( agent._get_maximum_manipulated_features(observations), [0.5, 0.9, 0.6], atol=1e-4))) def test_assertion_raised_when_burnin_less_than_2(self): env = college_admission.CollegeAdmissionsEnv() with self.assertRaises(ValueError): college_admission_jury.RobustJury( action_space=env.action_space, observation_space=env.observation_space, reward_fn=(lambda x: 0), group_cost=env.initial_params.group_cost, burnin=1) if __name__ == '__main__': absltest.main()

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dcdc0a77ab20b81e39002d23af0fcfb71c9814be

47

py

Python

scripts/portal/crane_MR.py

G00dBye/YYMS

1de816fc842b6598d5b4b7896b6ab0ee8f7cdcfb

[ "MIT" ]

54

2019-04-16T23:24:48.000Z

2021-12-18T11:41:50.000Z

scripts/portal/crane_MR.py

G00dBye/YYMS

1de816fc842b6598d5b4b7896b6ab0ee8f7cdcfb

[ "MIT" ]

3

2019-05-19T15:19:41.000Z

2020-04-27T16:29:16.000Z

scripts/portal/crane_MR.py

G00dBye/YYMS

1de816fc842b6598d5b4b7896b6ab0ee8f7cdcfb

[ "MIT" ]

49

2020-11-25T23:29:16.000Z

2022-03-26T16:20:24.000Z

# 200090300 sm.warp(250000100, 0) sm.dispose()

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10,779

py

Python

congregation/dag/nodes/internal/unary.py

CCD-HRI/congregation

a552856b03a64a4295792184107c4e529ca3f4ae

[ "MIT" ]

3

2020-10-05T16:30:15.000Z

2021-01-22T13:38:02.000Z

congregation/dag/nodes/internal/unary.py

CCD-HRI/congregation

a552856b03a64a4295792184107c4e529ca3f4ae

[ "MIT" ]

null

congregation/dag/nodes/internal/unary.py

CCD-HRI/congregation

a552856b03a64a4295792184107c4e529ca3f4ae

[ "MIT" ]

1

2021-02-19T12:40:57.000Z

from congregation.dag.nodes import UnaryOpNode from congregation.dag.nodes.node import OpNode from congregation.dag.nodes import * from congregation.datasets import Relation from congregation.datasets import Column from congregation.utils import * class Store(UnaryOpNode): def __init__(self, out_rel: Relation, parent: [OpNode, None]): super(Store, self).__init__("store", out_rel, parent) def is_reversible(self): return True def update_out_rel_cols(self): temp_cols = copy.deepcopy(self.get_in_rel().columns) self.out_rel.columns = temp_cols self.out_rel.update_columns() class Read(UnaryOpNode): def __init__(self, out_rel: Relation, parent: [OpNode, None]): super(Read, self).__init__("read", out_rel, parent) def is_reversible(self): return True def requires_mpc(self): return False class Persist(UnaryOpNode): def __init__(self, out_rel: Relation, parent: OpNode): super(Persist, self).__init__("persist", out_rel, parent) def is_reversible(self): return True class Send(UnaryOpNode): def __init__(self, out_rel: Relation, parent: OpNode): super(Send, self).__init__("send", out_rel, parent) def is_reversible(self): return True def requires_mpc(self): return False class Index(UnaryOpNode): def __init__(self, out_rel: Relation, parent: OpNode, idx_col_name: str): super(Index, self).__init__("index", out_rel, parent) self.idx_col_name = idx_col_name def is_reversible(self): return True class Shuffle(UnaryOpNode): def __init__(self, out_rel: Relation, parent: OpNode): super(Shuffle, self).__init__("shuffle", out_rel, parent) def is_reversible(self): return True class Open(UnaryOpNode): def __init__(self, out_rel: Relation, parent: [OpNode, None]): """ Initialize Open object. """ super(Open, self).__init__("open", out_rel, parent) def is_reversible(self): return True def requires_mpc(self): return True class Close(UnaryOpNode): def __init__(self, out_rel: Relation, parent: [OpNode, None], holding_party: list): super(Close, self).__init__("close", out_rel, parent) # parties who hold this data in plaintext self.holding_party = self._resolve_holding_party(holding_party) @staticmethod def _resolve_holding_party(holding_party): if len(holding_party) > 1 or len(holding_party[0]) > 1: raise Exception(f"Holding party for Close() node should be singular: {holding_party}") return holding_party[0].pop() def is_reversible(self): return True def requires_mpc(self): return True class AggregateSumCountCol(UnaryOpNode): def __init__(self, out_rel: Relation, parent: OpNode, group_cols: [list, None], agg_col: Column): super(AggregateSumCountCol, self).__init__("aggregate_sum_count_col", out_rel, parent) self.group_cols = group_cols if group_cols else [] self.agg_col = agg_col self.count_col = self.gen_count_col() def gen_count_col(self): return self.update_count_col() def update_count_col(self): if self.group_cols: min_trust = min_trust_with_from_cols(self.group_cols) min_pt = min_pt_set_from_cols(self.group_cols) else: # count col will just be the number of rows, which # all parties storing this data already know min_trust = max_set(self.out_rel.stored_with) min_pt = max_set(self.out_rel.stored_with) return Column( self.get_in_rel().name, "__COUNT__", len(self.group_cols) + 1, "INTEGER", min_trust, min_pt ) @staticmethod def from_existing_agg(node: AggregateMean): out_rel = copy.deepcopy(node.out_rel) parent = copy.deepcopy(node.parent) group_cols = copy.deepcopy(node.group_cols) agg_col = copy.deepcopy(node.agg_col) out_node = AggregateSumCountCol(out_rel, parent, group_cols, agg_col) out_node.update_out_rel_cols() return out_node def update_op_specific_cols(self): temp_cols = copy.deepcopy(self.get_in_rel().columns) self.group_cols = [temp_cols[group_col.idx] for group_col in self.group_cols] self.agg_col = temp_cols[self.agg_col.idx] self.count_col = self.update_count_col() def update_out_rel_cols(self): self.update_op_specific_cols() self.out_rel.columns = \ copy.deepcopy(self.group_cols) + \ [copy.deepcopy(self.agg_col), copy.deepcopy(self.count_col)] self.out_rel.update_columns() class AggregateSumSquaresAndCount(UnaryOpNode): def __init__(self, out_rel: Relation, parent: OpNode, group_cols: [list, None], agg_col: Column): super(AggregateSumSquaresAndCount, self).__init__("aggregate_sum_squares_and_count", out_rel, parent) self.group_cols = group_cols if group_cols else [] self.agg_col = agg_col self.squares_col = self.gen_squares_col() self.count_col = self.gen_count_col() def gen_squares_col(self): return self.update_squares_col() def update_squares_col(self): trust_set = copy.deepcopy(self.agg_col.trust_with) pt_set = copy.deepcopy(self.agg_col.plaintext) typ = copy.copy(self.agg_col.type_str) return Column( self.get_in_rel().name, "__SQUARES__", len(self.group_cols) + 1, typ, trust_set, pt_set ) def gen_count_col(self): return self.update_count_col() def update_count_col(self): if self.group_cols: min_trust = min_trust_with_from_cols(self.group_cols) min_pt = min_pt_set_from_cols(self.group_cols) else: # count col will just be the number of rows, which # all parties storing this data already know min_trust = max_set(self.out_rel.stored_with) min_pt = max_set(self.out_rel.stored_with) return Column( self.get_in_rel().name, "__COUNT__", len(self.group_cols) + 2, "INTEGER", min_trust, min_pt ) @staticmethod def from_existing_agg(node: [AggregateStdDev, AggregateVariance]): out_rel = copy.deepcopy(node.out_rel) out_rel.rename(f"{copy.copy(node.out_rel.name)}_local_squares_and_count") parent = copy.deepcopy(node.parent) group_cols = copy.deepcopy(node.group_cols) agg_col = copy.deepcopy(node.agg_col) out_node = AggregateSumSquaresAndCount(out_rel, parent, group_cols, agg_col) out_node.update_out_rel_cols() return out_node def update_op_specific_cols(self): temp_cols = copy.deepcopy(self.get_in_rel().columns) self.group_cols = [temp_cols[group_col.idx] for group_col in self.group_cols] self.agg_col = temp_cols[self.agg_col.idx] self.squares_col = self.update_squares_col() self.count_col = self.update_count_col() def update_out_rel_cols(self): self.update_op_specific_cols() self.out_rel.columns = \ copy.deepcopy(self.group_cols) + \ [ copy.deepcopy(self.agg_col), copy.deepcopy(self.squares_col), copy.deepcopy(self.count_col) ] self.out_rel.update_columns() class AggregateStdDevLocalSqrt(UnaryOpNode): def __init__(self, out_rel: Relation, parent: OpNode): super(AggregateStdDevLocalSqrt, self).__init__("aggregate_std_dev_local_sqrt", out_rel, parent) def requires_mpc(self): return False @staticmethod def from_existing_agg(node: [AggregateStdDev, AggregateVariance]): out_rel = copy.deepcopy(node.out_rel) out_rel.rename(f"{copy.copy(node.out_rel.name)}_local_sqrt") parent = copy.deepcopy(node.parent) out_node = AggregateStdDevLocalSqrt(out_rel, parent) return out_node def update_out_rel_cols(self): temp_cols = copy.deepcopy(self.get_in_rel().columns) # just filter out column that gets generated by parent AggregateStdDev op self.out_rel.columns = [c for c in temp_cols if c.name != "__MEAN_SQUARES__"] self.out_rel.update_columns() class AggregateVarianceLocalDiff(UnaryOpNode): def __init__(self, out_rel: Relation, parent: OpNode): super(AggregateVarianceLocalDiff, self).__init__("aggregate_variance_local_diff", out_rel, parent) def requires_mpc(self): return False @staticmethod def from_existing_agg(node: AggregateVariance): out_rel = copy.deepcopy(node.out_rel) out_rel.rename(f"{copy.copy(node.out_rel.name)}_local_diff") parent = copy.deepcopy(node.parent) out_node = AggregateVarianceLocalDiff(out_rel, parent) return out_node def update_out_rel_cols(self): temp_cols = copy.deepcopy(self.get_in_rel().columns) # just filter out column that gets generated by parent AggregateVariance op self.out_rel.columns = [c for c in temp_cols if c.name != "__MEAN_SQUARES__"] self.out_rel.update_columns() class AllStatsLocalSqrt(UnaryOpNode): def __init__(self, out_rel: Relation, parent: OpNode): super(AllStatsLocalSqrt, self).__init__("all_stats_local_sqrt", out_rel, parent) def requires_mpc(self): return False @staticmethod def from_existing_all_stats(node: AllStats): out_rel = copy.deepcopy(node.out_rel) out_rel.rename(f"{copy.copy(node.out_rel.name)}_local_sqrt") parent = copy.deepcopy(node.parent) out_node = AllStatsLocalSqrt(out_rel, parent) return out_node def update_out_rel_cols(self): temp_cols = copy.deepcopy(self.get_in_rel().columns) # filter out column that gets generated by parent AllStats op self.out_rel.columns = [c for c in temp_cols if c.name != "__MEAN_SQUARES__"] self.out_rel.update_columns() class ColSum(UnaryOpNode): def __init__(self, out_rel: Relation, parent: OpNode): super(ColSum, self).__init__("col_sum", out_rel, parent) def update_out_rel_cols(self): temp_cols = copy.deepcopy(self.get_in_rel().columns) self.out_rel.columns = temp_cols self.out_rel.update_columns() @staticmethod def from_num_rows(node: NumRows): out_rel = copy.deepcopy(node.out_rel) out_rel.rename(f"{copy.copy(node.out_rel.name)}_local_sum") parent = copy.deepcopy(node.parent) return ColSum(out_rel, parent)

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null

0

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6

0d3edd2f2ceebf72da29c04d2d7f35342a496940

103

py

Python

src/langs/python/wheel-part.py

boyanio/wasm-wheel

a35d8f3b6f9af607e210f3d2f8f8150f9c1796e8

[ "MIT" ]

40

2017-11-30T11:12:21.000Z

2021-02-09T23:56:40.000Z

src/langs/python/wheel-part.py

boyanio/wasm-wheel

a35d8f3b6f9af607e210f3d2f8f8150f9c1796e8

[ "MIT" ]

16

2017-12-11T13:59:54.000Z

2022-02-11T12:09:39.000Z

src/langs/python/wheel-part.py

boyanio/wasm-wheel

a35d8f3b6f9af607e210f3d2f8f8150f9c1796e8

[ "MIT" ]

7

2018-01-19T08:14:15.000Z

2021-02-03T20:33:04.000Z

import random def name(): return "Python" def feelingLucky(): return random.randrange(1, 101, 1)

12.875

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0d4cf4e1f3c86d2ee02fa7339cc1c69429a22a9f

43

py

Python

my_classes/.history/ModulesPackages_PackageNamespaces/example3b/module2_20210726190952.py

minefarmer/deep-Dive-1

b0675b853180c5b5781888266ea63a3793b8d855

[ "Unlicense" ]

null

my_classes/.history/ModulesPackages_PackageNamespaces/example3b/module2_20210726190952.py

minefarmer/deep-Dive-1

b0675b853180c5b5781888266ea63a3793b8d855

[ "Unlicense" ]

null

my_classes/.history/ModulesPackages_PackageNamespaces/example3b/module2_20210726190952.py

minefarmer/deep-Dive-1

b0675b853180c5b5781888266ea63a3793b8d855

[ "Unlicense" ]

null

import module1 print('Running moudle2.py')

14.333333

27

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b4983b88d28bcc71493b83503f227cf45dc33360

152

py

Python

cbprocharts/procharter.py

ricCap/coinbasepro-charts

e1c0c561a37ce0cdf2a1efabb2eb625e7766b38d

[ "MIT" ]

null

cbprocharts/procharter.py

ricCap/coinbasepro-charts

e1c0c561a37ce0cdf2a1efabb2eb625e7766b38d

[ "MIT" ]

2

2021-02-25T20:15:28.000Z

2021-02-25T20:17:37.000Z

cbprocharts/procharter.py

ricCap/coinbasepro-charts

e1c0c561a37ce0cdf2a1efabb2eb625e7766b38d

[ "MIT" ]

null

import cbpro class ProCharter(cbpro.AuthenticatedClient): """ A wrapper around cbpro AuthenticatedClient that adds charting capabilities. """

21.714286

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6

b4c1e92077a9b0f3b0f4867058d0d79e75757db5

379

py

Python

src/mlte/report/__init__.py

turingcompl33t/mlte

2a0b299502dd9ea2830f5082e492bb000ceffc3d

[ "MIT" ]

2

2022-03-09T15:44:32.000Z

2022-03-18T16:00:56.000Z

src/mlte/report/__init__.py

turingcompl33t/mlte

2a0b299502dd9ea2830f5082e492bb000ceffc3d

[ "MIT" ]

6

2022-03-12T11:24:00.000Z

2022-03-18T17:58:38.000Z

src/mlte/report/__init__.py

turingcompl33t/mlte

2a0b299502dd9ea2830f5082e492bb000ceffc3d

[ "MIT" ]

null

from .report import ( Dataset, User, UseCase, Limitation, Metadata, ModelDetails, ModelSpecification, Considerations, Report, ) from .render import render __all__ = [ "Dataset", "User", "UseCase", "Limitation", "Metadata", "ModelDetails", "ModelSpecification", "Considerations", "Report", "render", ]

14.037037

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null

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6

b4e474bc7391df733af773175255ec7ebf5c5870

142

py

Python

python/pyramid-array/solution.py

hiljusti/codewars-solutions

1a423e8cb0fbcac94738f6e51dc333f057b0a731

[ "WTFPL" ]

2

2020-02-22T08:47:51.000Z

2021-05-21T22:21:55.000Z

python/pyramid-array/solution.py

hiljusti/codewars-solutions

1a423e8cb0fbcac94738f6e51dc333f057b0a731

[ "WTFPL" ]

null

python/pyramid-array/solution.py

hiljusti/codewars-solutions

1a423e8cb0fbcac94738f6e51dc333f057b0a731

[ "WTFPL" ]

1

2021-11-09T17:22:10.000Z

# https://www.codewars.com/kata/515f51d438015969f7000013 def pyramid(n): return [] if n <= 0 else [[1]] + [[1] + a for a in pyramid(n - 1)]

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2edfa4c07ced1131df6dcfb93cbe1d89e1e69ce8

8,501

py

Python

lib/pyDHE/DHE_groups.py

ahmedyasserays/pyDHE

bf3b643e43538eca52ffb84f44d63d58245aced7

[ "BSD-2-Clause" ]

62

2017-08-11T01:38:46.000Z

2022-01-28T02:22:56.000Z

lib/pyDHE/DHE_groups.py

ahmedyasserays/pyDHE

bf3b643e43538eca52ffb84f44d63d58245aced7

[ "BSD-2-Clause" ]

6

2017-09-18T19:51:55.000Z

2018-06-08T08:13:58.000Z

lib/pyDHE/DHE_groups.py

ahmedyasserays/pyDHE

bf3b643e43538eca52ffb84f44d63d58245aced7

[ "BSD-2-Clause" ]

13

2017-09-18T13:26:59.000Z

2021-11-25T15:13:58.000Z

# -*- coding: utf-8 -*- # =================================================================== # # Copyright (c) 2017, DeadPix3l <skylerr.curtis@gmail.com> # All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions # are met: # # 1. Redistributions of source code must retain the above copyright # notice, this list of conditions and the following disclaimer. # 2. Redistributions in binary form must reproduce the above copyright # notice, this list of conditions and the following disclaimer in # the documentation and/or other materials provided with the # distribution. # # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS # "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT # LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS # FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE # COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, # INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, # BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; # LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER # CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT # LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN # ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE # POSSIBILITY OF SUCH DAMAGE. # =================================================================== # NOTE: the numbers in this file are gigantic! Good practice is to keep lines # shorter than 79 characters. This file cannot and will not follow this # convention. Sorry. """ Diffie Hellman Groups This is a supplementary file to DHE.py to simply hold the dictionary of RFC 3526 groups. For Diffie-Hellman to be secure, it requires the parameters (p,g) to have special properties and be of a relatively large size. These numbers were specifically chosen by NIST or other professionals to be cryptographically secure. DO NOT MODIFY. each group is a diffent bitsize, and as the group number increases, so does the security and the time it takes to calculate a secret. group 5 is specified in RFC 3526, but is ommited here because its small size is no longer secure with modern technolegy. A minimimum of 2048 bits should be used at all times. the Groups are as follows: -------------------------- 14: 2048 bits 15: 3072 bits 16: 4096 bits 17: 6144 bits 18: 8192 bits """ groups = { 14: (2, 0xFFFFFFFFFFFFFFFFC90FDAA22168C234C4C6628B80DC1CD129024E088A67CC74020BBEA63B139B22514A08798E3404DDEF9519B3CD3A431B302B0A6DF25F14374FE1356D6D51C245E485B576625E7EC6F44C42E9A637ED6B0BFF5CB6F406B7EDEE386BFB5A899FA5AE9F24117C4B1FE649286651ECE45B3DC2007CB8A163BF0598DA48361C55D39A69163FA8FD24CF5F83655D23DCA3AD961C62F356208552BB9ED529077096966D670C354E4ABC9804F1746C08CA18217C32905E462E36CE3BE39E772C180E86039B2783A2EC07A28FB5C55DF06F4C52C9DE2BCBF6955817183995497CEA956AE515D2261898FA051015728E5A8AACAA68FFFFFFFFFFFFFFFF), 15: (2, 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1

0

1

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null

1

0

6

2c014674fbeb4ba62fbdfafe529ea4958b105359

783

py

Python

main.py

FlexLV/Projekts-Lidma-nas-

ace380d17407e88baa62595d591669945933dac6

[ "MIT" ]

null

main.py

FlexLV/Projekts-Lidma-nas-

ace380d17407e88baa62595d591669945933dac6

[ "MIT" ]

null

main.py

FlexLV/Projekts-Lidma-nas-

ace380d17407e88baa62595d591669945933dac6

[ "MIT" ]

1

2021-05-21T15:55:04.000Z

from flask import Flask, render_template app = Flask('app') @app.route('/') def main(): return render_template("Main.html") @app.route('/Covid_19') def Covid_19(): return render_template("Covid_19.html") @app.route('/ParLidmasinam') def Par_lidmasinu(): return render_template("ParLidmasinu.html") @app.route('/Lidojumi') def Lidojumi(): return render_template("Lidojumi.html") @app.route('/Register') def Register(): return render_template("Register.html") @app.route('/ForgotPass') def ForgotPass(): return render_template("ForgotPass.html") @app.route('/Izlidojumi') def Izlidojumi(): return render_template("Izlidojumi.html") @app.route('/Reservation') def Reservation(): return render_template("Reservation.html") app.run(host='0.0.0.0', port=8080)

20.605263

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101

783

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783

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46

20.605263

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false

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null

0

1

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1

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1

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6

2c1c23835283e7f4645ee2d0e9eb6e85897eb0c9

99

py

Python

Python/CursoEmVideo/Mundo 2/Desafios/Desafio47.py

carlos09v/Mini-Projects_Exercises

0d457b5c5c83811fdefa1dd8f80ce436f8dac744

[ "MIT" ]

1

2021-08-23T13:04:55.000Z

Python/CursoEmVideo/Mundo 2/Desafios/Desafio47.py

carlos09v/Mini-Projects_Exercises

0d457b5c5c83811fdefa1dd8f80ce436f8dac744

[ "MIT" ]

null

Python/CursoEmVideo/Mundo 2/Desafios/Desafio47.py

carlos09v/Mini-Projects_Exercises

0d457b5c5c83811fdefa1dd8f80ce436f8dac744

[ "MIT" ]

null

print('Todos os \033[35mPARES\33[m de \033[33m0 a 50!\033[m') for c in range(2,51,2): print(c)

24.75

61

0.636364

23

99

2.73913

0.73913

0

0.26506

0.161616

99

3

62

33

0.493976

0

0.333333

0.525253

0

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1

0

1

0

1

0

null

0

1

0

6

2588fa58d573597dc86061dd36cee20baafc0a67

258

py

Python

pytest_testbook/hooks.py

ldiary/pytest-testbook

b47a86784588bb6fb28cf5b8e034f833f2e393b1

[ "MIT" ]

3

2016-05-28T20:30:46.000Z

2017-01-06T15:19:46.000Z

pytest_testbook/hooks.py

ldiary/pytest-testbook

b47a86784588bb6fb28cf5b8e034f833f2e393b1

[ "MIT" ]

null

pytest_testbook/hooks.py

ldiary/pytest-testbook

b47a86784588bb6fb28cf5b8e034f833f2e393b1

[ "MIT" ]

1

2019-01-06T18:38:48.000Z

"""Pytest-Testbook pytest hooks.""" def pytest_testbook_kernel_setup(scenario): """Will be called after the Jupyter kernel is started.""" def pytest_testbook_kernel_teardown(scenario): """Will be called before the Jupyter kernel is shut down."""

25.8

64

0.744186

35

258

5.314286

0.542857

0.225806

0.182796

0.247312

0

0.147287

258

9

65

28.666667

0.845455

0.527132

0

1

false

0

1

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null

1

0

1

0

null

0

1

0

1

0

6

25a7de77c1ebe1a661f53add042f84c0e14081d0

59

py

Python

lib/ua/agents/msie.py

hdknr/ua

bc41f5b46fb99d0d576c7542c2184b39679f4ebf

[ "BSD-2-Clause-FreeBSD" ]

null

lib/ua/agents/msie.py

hdknr/ua

bc41f5b46fb99d0d576c7542c2184b39679f4ebf

[ "BSD-2-Clause-FreeBSD" ]

null

lib/ua/agents/msie.py

hdknr/ua

bc41f5b46fb99d0d576c7542c2184b39679f4ebf

[ "BSD-2-Clause-FreeBSD" ]

null

from . import BaseAgent class Agent(BaseAgent): pass

9.833333

23

0.711864

7

59

6

0.857143

0

0.220339

59

5

24

11.8

0.913043

0

1

0

true

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

6

25a94418c5bb9fda7b2eebb9a9eb8da506847ea6

170

py

Python

Chapter08/07_dc_motor_on.py

PacktPublishing/MicroPython-Cookbook

ffd6aa15c303459570a89ba31b5bc734f05cb387

[ "MIT" ]

16

2019-07-01T16:24:22.000Z

2022-03-03T06:54:57.000Z

Chapter08/07_dc_motor_on.py

ccwu0918/MicroPython-Cookbook

ffd6aa15c303459570a89ba31b5bc734f05cb387

[ "MIT" ]

null

Chapter08/07_dc_motor_on.py

ccwu0918/MicroPython-Cookbook

ffd6aa15c303459570a89ba31b5bc734f05cb387

[ "MIT" ]

19

2019-04-17T08:30:12.000Z

2022-01-14T03:05:37.000Z

from adafruit_crickit import crickit import time while True: crickit.dc_motor_1.throttle = 1 time.sleep(1) crickit.dc_motor_1.throttle = 0 time.sleep(1)

18.888889

36

0.729412

27

170

4.407407

0.481481

0.218487

0.235294

0.252101

0.386555

0

0.043796

0.194118

170

8

37

21.25

0.824818

0

0.285714

0

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0

true

0

0.285714

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0.285714

0

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null

1

0

1

0

null

0

1

0

6

25b083a470f3795fafa74c75418d4c776575a35c

42

py

Python

databird/blueprints/driver/databird-driver-+package.driver_name+/tests/test_tests.py

jonas-hagen/databird

cfb358e74da62bb9d7ea0e6c7ac984671472120b

[ "MIT" ]

1

2021-11-05T00:12:00.000Z

databird/blueprints/driver/databird-driver-+package.driver_name+/tests/test_tests.py

jonas-hagen/databird

cfb358e74da62bb9d7ea0e6c7ac984671472120b

[ "MIT" ]

null

databird/blueprints/driver/databird-driver-+package.driver_name+/tests/test_tests.py

jonas-hagen/databird

cfb358e74da62bb9d7ea0e6c7ac984671472120b

[ "MIT" ]

null

def test_tests_are_run(): assert True

14

25

0.738095

7

42

4

1

0

0.190476

42

2

26

21

0.823529

0

0.5

1

0.5

true

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

6

25e7d67e2f3e4ece7a46177fca8b3e52a01e44a1

139

py

Python

jpkgchanger/__init__.py

intermedia-net/jpkgchanger

0e64a34253a02214cdc99b24bf93ec791fa70498

[ "MIT" ]

5

2021-08-20T10:47:45.000Z

2021-08-20T10:51:01.000Z

jpkgchanger/__init__.py

intermedia-net/jpkgchanger

0e64a34253a02214cdc99b24bf93ec791fa70498

[ "MIT" ]

null

jpkgchanger/__init__.py

intermedia-net/jpkgchanger

0e64a34253a02214cdc99b24bf93ec791fa70498

[ "MIT" ]

null

"""Change java project package name!""" __version__ = "0.0.1" from .jpkgchanger import main from .jpkgchanger import change_package_name

19.857143

44

0.769784

19

139

5.315789

0.631579

0.217822

0.415842

0

0.024793

0.129496

139

6

45

23.166667

0.809917

0.23741

0

0.05

0

1

0

false

0

0.666667

0

0.666667

0

1

0

null

1

0

1

0

null

0

1

0

1

0

6

25ee8fb224714dc5d66ee6e6d1e97b76c862d8bd

8,523

py

Python

python/dazl/_gen/com/daml/ledger/api/v1/command_completion_service_pb2_grpc.py

digital-asset/dazl-client

5d54edaea26d7704cc8d73e5945b37ed2806265b

[ "Apache-2.0" ]

8

2019-09-08T09:41:03.000Z

2022-02-19T12:54:30.000Z

python/dazl/_gen/com/daml/ledger/api/v1/command_completion_service_pb2_grpc.py

digital-asset/dazl-client

5d54edaea26d7704cc8d73e5945b37ed2806265b

[ "Apache-2.0" ]

55

2019-05-30T23:00:31.000Z

2022-01-24T01:51:32.000Z

python/dazl/_gen/com/daml/ledger/api/v1/command_completion_service_pb2_grpc.py

digital-asset/dazl-client

5d54edaea26d7704cc8d73e5945b37ed2806265b

[ "Apache-2.0" ]

9

2019-06-30T18:15:27.000Z

2021-12-03T10:15:27.000Z

# Copyright (c) 2017-2021 Digital Asset (Switzerland) GmbH and/or its affiliates. All rights reserved. # SPDX-License-Identifier: Apache-2.0 # fmt: off # isort: skip_file # Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT! """Client and server classes corresponding to protobuf-defined services.""" import grpc from . import command_completion_service_pb2 as com_dot_daml_dot_ledger_dot_api_dot_v1_dot_command__completion__service__pb2 class CommandCompletionServiceStub(object): """Allows clients to observe the status of their submissions. Commands may be submitted via the Command Submission Service. The on-ledger effects of their submissions are disclosed by the Transaction Service. Commands may fail in 2 distinct manners: 1. Failure communicated synchronously in the gRPC error of the submission. 2. Failure communicated asynchronously in a Completion, see ``completion.proto``. Note that not only successfully submitted commands MAY produce a completion event. For example, the participant MAY choose to produce a completion event for a rejection of a duplicate command. Clients that do not receive a successful completion about their submission MUST NOT assume that it was successful. Clients SHOULD subscribe to the CompletionStream before starting to submit commands to prevent race conditions. """ def __init__(self, channel): """Constructor. Args: channel: A grpc.Channel. """ self.CompletionStream = channel.unary_stream( '/com.daml.ledger.api.v1.CommandCompletionService/CompletionStream', request_serializer=com_dot_daml_dot_ledger_dot_api_dot_v1_dot_command__completion__service__pb2.CompletionStreamRequest.SerializeToString, response_deserializer=com_dot_daml_dot_ledger_dot_api_dot_v1_dot_command__completion__service__pb2.CompletionStreamResponse.FromString, ) self.CompletionEnd = channel.unary_unary( '/com.daml.ledger.api.v1.CommandCompletionService/CompletionEnd', request_serializer=com_dot_daml_dot_ledger_dot_api_dot_v1_dot_command__completion__service__pb2.CompletionEndRequest.SerializeToString, response_deserializer=com_dot_daml_dot_ledger_dot_api_dot_v1_dot_command__completion__service__pb2.CompletionEndResponse.FromString, ) class CommandCompletionServiceServicer(object): """Allows clients to observe the status of their submissions. Commands may be submitted via the Command Submission Service. The on-ledger effects of their submissions are disclosed by the Transaction Service. Commands may fail in 2 distinct manners: 1. Failure communicated synchronously in the gRPC error of the submission. 2. Failure communicated asynchronously in a Completion, see ``completion.proto``. Note that not only successfully submitted commands MAY produce a completion event. For example, the participant MAY choose to produce a completion event for a rejection of a duplicate command. Clients that do not receive a successful completion about their submission MUST NOT assume that it was successful. Clients SHOULD subscribe to the CompletionStream before starting to submit commands to prevent race conditions. """ def CompletionStream(self, request, context): """Subscribe to command completion events. Errors: - ``UNAUTHENTICATED``: if the request does not include a valid access token - ``PERMISSION_DENIED``: if the claims in the token are insufficient to perform a given operation - ``NOT_FOUND``: if the request does not include a valid ledger id or if the ledger has been pruned before ``begin`` - ``INVALID_ARGUMENT``: if the payload is malformed or is missing required fields - ``OUT_OF_RANGE``: if the absolute offset is not before the end of the ledger """ context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def CompletionEnd(self, request, context): """Returns the offset after the latest completion. Errors: - ``UNAUTHENTICATED``: if the request does not include a valid access token - ``PERMISSION_DENIED``: if the claims in the token are insufficient to perform a given operation - ``NOT_FOUND``: if the request does not include a valid ledger id """ context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def add_CommandCompletionServiceServicer_to_server(servicer, server): rpc_method_handlers = { 'CompletionStream': grpc.unary_stream_rpc_method_handler( servicer.CompletionStream, request_deserializer=com_dot_daml_dot_ledger_dot_api_dot_v1_dot_command__completion__service__pb2.CompletionStreamRequest.FromString, response_serializer=com_dot_daml_dot_ledger_dot_api_dot_v1_dot_command__completion__service__pb2.CompletionStreamResponse.SerializeToString, ), 'CompletionEnd': grpc.unary_unary_rpc_method_handler( servicer.CompletionEnd, request_deserializer=com_dot_daml_dot_ledger_dot_api_dot_v1_dot_command__completion__service__pb2.CompletionEndRequest.FromString, response_serializer=com_dot_daml_dot_ledger_dot_api_dot_v1_dot_command__completion__service__pb2.CompletionEndResponse.SerializeToString, ), } generic_handler = grpc.method_handlers_generic_handler( 'com.daml.ledger.api.v1.CommandCompletionService', rpc_method_handlers) server.add_generic_rpc_handlers((generic_handler,)) # This class is part of an EXPERIMENTAL API. class CommandCompletionService(object): """Allows clients to observe the status of their submissions. Commands may be submitted via the Command Submission Service. The on-ledger effects of their submissions are disclosed by the Transaction Service. Commands may fail in 2 distinct manners: 1. Failure communicated synchronously in the gRPC error of the submission. 2. Failure communicated asynchronously in a Completion, see ``completion.proto``. Note that not only successfully submitted commands MAY produce a completion event. For example, the participant MAY choose to produce a completion event for a rejection of a duplicate command. Clients that do not receive a successful completion about their submission MUST NOT assume that it was successful. Clients SHOULD subscribe to the CompletionStream before starting to submit commands to prevent race conditions. """ @staticmethod def CompletionStream(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_stream(request, target, '/com.daml.ledger.api.v1.CommandCompletionService/CompletionStream', com_dot_daml_dot_ledger_dot_api_dot_v1_dot_command__completion__service__pb2.CompletionStreamRequest.SerializeToString, com_dot_daml_dot_ledger_dot_api_dot_v1_dot_command__completion__service__pb2.CompletionStreamResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def CompletionEnd(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/com.daml.ledger.api.v1.CommandCompletionService/CompletionEnd', com_dot_daml_dot_ledger_dot_api_dot_v1_dot_command__completion__service__pb2.CompletionEndRequest.SerializeToString, com_dot_daml_dot_ledger_dot_api_dot_v1_dot_command__completion__service__pb2.CompletionEndResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata)

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py

Python

python-sdk/nuscenes/eval/tracking/render.py

tanjiangyuan/Classification_nuScence

b94c4b0b6257fc1c048a676e3fd9e71183108d53

[ "Apache-2.0" ]

null

python-sdk/nuscenes/eval/tracking/render.py

tanjiangyuan/Classification_nuScence

b94c4b0b6257fc1c048a676e3fd9e71183108d53

[ "Apache-2.0" ]

null

python-sdk/nuscenes/eval/tracking/render.py

tanjiangyuan/Classification_nuScence

b94c4b0b6257fc1c048a676e3fd9e71183108d53

[ "Apache-2.0" ]

null

version https://git-lfs.github.com/spec/v1 oid sha256:ed79645690789316884aed85663afe72461467846ba7eca6822bd4843888a140 size 6528

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way/python/first_steps/pcc/hello_pcc_world.py

only-romano/junkyard

b60a25b2643f429cdafee438d20f9966178d6f36

[ "MIT" ]

null

way/python/first_steps/pcc/hello_pcc_world.py

only-romano/junkyard

b60a25b2643f429cdafee438d20f9966178d6f36

[ "MIT" ]

null

way/python/first_steps/pcc/hello_pcc_world.py

only-romano/junkyard

b60a25b2643f429cdafee438d20f9966178d6f36

[ "MIT" ]

null

#! Hello python crash course world programm message = "Hello Python Crash Course World !" print(message)

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tests/core/networking/test_networking_actions.py

LaudateCorpus1/chaostoolkit-oci

36da01a47dd1b0881ec21cb70775fde5011b38ed

[ "Apache-2.0" ]

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2018-11-20T15:36:52.000Z

2021-12-16T21:46:56.000Z

tests/core/networking/test_networking_actions.py

LaudateCorpus1/chaostoolkit-oci

36da01a47dd1b0881ec21cb70775fde5011b38ed

[ "Apache-2.0" ]

21

2018-11-26T19:11:52.000Z

2021-12-15T19:38:37.000Z

tests/core/networking/test_networking_actions.py

LaudateCorpus1/chaostoolkit-oci

36da01a47dd1b0881ec21cb70775fde5011b38ed

[ "Apache-2.0" ]

8

2018-11-20T15:37:09.000Z

2021-07-28T20:27:19.000Z

# coding: utf-8 # Copyright 2020, Oracle Corporation and/or its affiliates. import pytest from unittest.mock import MagicMock, patch from chaoslib.exceptions import ActivityFailed from chaosoci.core.networking.actions import (delete_route_table_by_id, delete_route_table_by_filters, delete_nat_gateway_by_id, delete_nat_gateway_by_filters, delete_internet_gateway_by_id, delete_internet_gateway_by_filters, delete_service_gateway_by_id, delete_service_gateway_by_filters) from chaosoci.core.networking.common import get_nat_gateway from chaosoci.util.constants import FILTER_ERR # FILTER_ERR = 'Some of the chosen filters were not found, we cannot continue.' @patch('chaosoci.core.networking.actions.oci_client', autospec=True) def test_delete_route_table_by_id(oci_client): network_client = MagicMock() oci_client.return_value = network_client rt_id = "ocid1.routetable.oc1.phx.aawnm2cdxq3naniep5dsiixtchqjuypcx7l7" rt_ids = [rt_id, ""] for id in rt_ids: if id == rt_id: delete_route_table_by_id(id) network_client.delete_route_table.assert_called_with(rt_id=id) else: with pytest.raises(ActivityFailed) as f: delete_route_table_by_id(id) assert 'A route table id is required.' @patch('chaosoci.core.networking.actions.filter_route_tables', autospec=True) @patch('chaosoci.core.networking.actions.get_route_tables', autospec=True) @patch('chaosoci.core.networking.actions.oci_client', autospec=True) def test_delete_route_table_by_filters(oci_client, get_route_tables, filter_route_tables): network_client = MagicMock() oci_client.return_value = network_client c_id = "ocid1.compartment.oc1..oadsocmof6r6ksovxmda44ikwxje7xxu" vcn_id = "ocid1.vcn.oc1.phx.amaaaaaapwxjxiqavc6zohqv4whr6y65qwwjcexhex" c_ids = [c_id, None] vcn_ids = [vcn_id, None] filters = [[{'display_name': 'random_name', 'region': 'uk-london-1'}], None] for c in c_ids: for v in vcn_ids: for f in filters: if c is None or v is None: with pytest.raises(ActivityFailed) as c_failed: delete_route_table_by_filters(c, v, f) assert 'A compartment id or vcn id is required.' elif f is None: with pytest.raises(ActivityFailed) as f_failed: delete_route_table_by_filters(c, v, f) assert FILTER_ERR else: with pytest.raises(ActivityFailed) as rt_failed: delete_route_table_by_filters(c, v, f) network_client.delete_route_table.assert_called_with( filter_route_tables(route_tables=get_route_tables( oci_client, c, v), filters=f)[0].id) @patch('chaosoci.core.networking.actions.oci_client', autospec=True) def test_delete_nat_gateway_by_id(oci_client): network_client = MagicMock() oci_client.return_value = network_client nw_id = "ocid1.routetable.oc1.phx.aawnm2cdxq3naniep5dsiixtchqjuypcx7l7" nw_ids = [nw_id, ""] for id in nw_ids: if id == nw_id: delete_nat_gateway_by_id(id) network_client.delete_nat_gateway.assert_called_with(nw_id=id) else: with pytest.raises(ActivityFailed) as f: delete_route_table_by_id(id) assert 'A route table id is required.' @patch('chaosoci.core.networking.actions.filter_nat_gateway', autospec=True) @patch('chaosoci.core.networking.actions.get_nat_gateway', autospec=True) @patch('chaosoci.core.networking.actions.oci_client', autospec=True) def test_delete_nat_gateway_by_filters(oci_client, get_nat_gateway, filter_nat_gateway): network_client = MagicMock() oci_client.return_value = network_client c_id = "ocid1.compartment.oc1..oadsocmof6r6ksovxmda44ikwxje7xxu" vcn_id = "ocid1.vcn.oc1.phx.amaaaaaapwxjxiqavc6zohqv4whr6y65qwwjcexhex" c_ids = [c_id, None] vcn_ids = [vcn_id, None] filters = [[{'display_name': 'random_name', 'region': 'uk-london-1'}], None] for c in c_ids: for v in vcn_ids: for f in filters: if c is None or v is None: with pytest.raises(ActivityFailed) as c_failed: delete_nat_gateway_by_filters(c, v, f) assert 'A compartment id or vcn id is required.' elif f is None: with pytest.raises(ActivityFailed) as f_failed: delete_nat_gateway_by_filters(c, v, f) assert FILTER_ERR else: with pytest.raises(ActivityFailed) as rt_failed: delete_nat_gateway_by_filters(c, v, f) network_client.delete_nat_gateway.assert_called_with( filter_nat_gateway(route_tables=get_nat_gateway( oci_client, c, v), filters=f)[0].id) @patch('chaosoci.core.networking.actions.oci_client', autospec=True) def test_delete_internet_gateway_by_id(oci_client): network_client = MagicMock() oci_client.return_value = network_client ig_id = "ocid1.routetable.oc1.phx.aawnm2cdxq3naniep5dsiixtchqjuypcx7l7" ig_ids = [ig_id, ""] for id in ig_ids: if id == ig_id: delete_internet_gateway_by_id(id) network_client.delete_internet_gateway.assert_called_with(ig_id=id) else: with pytest.raises(ActivityFailed) as f: delete_internet_gateway_by_id(id) assert 'A route table id is required.' @patch('chaosoci.core.networking.actions.filter_internet_gateway', autospec=True) @patch('chaosoci.core.networking.actions.get_internet_gateway', autospec=True) @patch('chaosoci.core.networking.actions.oci_client', autospec=True) def test_delete_internet_gateway_by_filters(oci_client, get_route_tables, filter_internet_gateway): network_client = MagicMock() oci_client.return_value = network_client c_id = "ocid1.compartment.oc1..oadsocmof6r6ksovxmda44ikwxje7xxu" vcn_id = "ocid1.vcn.oc1.phx.amaaaaaapwxjxiqavc6zohqv4whr6y65qwwjcexhex" c_ids = [c_id, None] vcn_ids = [vcn_id, None] filters = [[{'display_name': 'random_name', 'region': 'uk-london-1'}], None] for c in c_ids: for v in vcn_ids: for f in filters: if c is None or v is None: with pytest.raises(ActivityFailed) as c_failed: delete_internet_gateway_by_filters(c, v, f) assert 'A compartment id or vcn id is required.' elif f is None: with pytest.raises(ActivityFailed) as f_failed: delete_internet_gateway_by_filters(c, v, f) assert FILTER_ERR else: with pytest.raises(ActivityFailed) as rt_failed: delete_internet_gateway_by_filters(c, v, f) network_client.delete_internet_gateway.assert_called_with( filter_internet_gateway(route_tables=get_route_tables( oci_client, c, v), filters=f)[0].id) @patch('chaosoci.core.networking.actions.oci_client', autospec=True) def test_delete_service_gateway_by_id(oci_client): network_client = MagicMock() oci_client.return_value = network_client sg_id = "ocid1.routetable.oc1.phx.aawnm2cdxq3naniep5dsiixtchqjuypcx7l7" sg_ids = [sg_id, ""] for id in sg_ids: if id == sg_id: delete_service_gateway_by_id(id) network_client.delete_service_gateway.assert_called_with(sg_id=id) else: with pytest.raises(ActivityFailed) as f: delete_service_gateway_by_id(id) assert 'A route table id is required.' @patch('chaosoci.core.networking.actions.filter_service_gateway', autospec=True) @patch('chaosoci.core.networking.actions.get_service_gateway', autospec=True) @patch('chaosoci.core.networking.actions.oci_client', autospec=True) def test_delete_service_gateway_by_filters(oci_client, get_service_gateway, filter_service_gateway): network_client = MagicMock() oci_client.return_value = network_client c_id = "ocid1.compartment.oc1..oadsocmof6r6ksovxmda44ikwxje7xxu" vcn_id = "ocid1.vcn.oc1.phx.amaaaaaapwxjxiqavc6zohqv4whr6y65qwwjcexhex" c_ids = [c_id, None] vcn_ids = [vcn_id, None] filters = [[{'display_name': 'random_name', 'region': 'uk-london-1'}], None] for c in c_ids: for v in vcn_ids: for f in filters: if c is None or v is None: with pytest.raises(ActivityFailed) as c_failed: delete_service_gateway_by_filters(c, v, f) assert 'A compartment id or vcn id is required.' elif f is None: with pytest.raises(ActivityFailed) as f_failed: delete_service_gateway_by_filters(c, v, f) assert FILTER_ERR else: with pytest.raises(ActivityFailed) as rt_failed: delete_service_gateway_by_filters(c, v, f) network_client.delete_service_gateway.assert_called_with( filter_service_gateway(get_service_gateway( oci_client, c, v), filters=f)[0].id)

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__init__.py

wrow/PushbulletLogging

34229ca79e6b94607368be639e8167a4b4ee673a

[ "MIT" ]

1

2017-12-06T18:30:37.000Z

__init__.py

wrow/PushbulletLogging

34229ca79e6b94607368be639e8167a4b4ee673a

[ "MIT" ]

null

__init__.py

wrow/PushbulletLogging

34229ca79e6b94607368be639e8167a4b4ee673a

[ "MIT" ]

null

from PushbulletLogging import *

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py

Python

adlib/tests/__init__.py

xyvivian/adlib

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[ "MIT" ]

null

adlib/tests/__init__.py

xyvivian/adlib

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[ "MIT" ]

null

adlib/tests/__init__.py

xyvivian/adlib

79a93baa8aa542080bbf55734168eb89317df83c

[ "MIT" ]

null

from . import adversaries from . import datasets from . import learners

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py

Python

solcast/utils/__init__.py

jmccorkindale/solcast-py

0b572b2878a6045b05cf05709d6655697d95ba91

[ "MIT" ]

1

2021-03-06T13:53:35.000Z

solcast/utils/__init__.py

jmccorkindale/solcast-py

0b572b2878a6045b05cf05709d6655697d95ba91

[ "MIT" ]

null

solcast/utils/__init__.py

jmccorkindale/solcast-py

0b572b2878a6045b05cf05709d6655697d95ba91

[ "MIT" ]

1

2021-03-06T13:54:59.000Z

from .dict_no_none import DictNoNone

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py

Python

culebratester_client/models/__init__.py

dtmilano/CulebraTester2-client

21979a851943c9a30c3b5f31eed21c1b1d4894dd

[ "Apache-2.0" ]

7

2020-02-07T14:37:09.000Z

2022-03-11T09:54:47.000Z

culebratester_client/models/__init__.py

dtmilano/CulebraTester2-client

21979a851943c9a30c3b5f31eed21c1b1d4894dd

[ "Apache-2.0" ]

null

culebratester_client/models/__init__.py

dtmilano/CulebraTester2-client

21979a851943c9a30c3b5f31eed21c1b1d4894dd

[ "Apache-2.0" ]

1

2021-09-11T03:18:37.000Z

# coding: utf-8 # flake8: noqa """ CulebraTester ## Snaky Android Test --- If you want to be able to try out the API using the **Execute** or **TRY** button from this page - an android device should be connected using `adb` - the server should have been started using `./culebratester2 start-server` then you will be able to invoke the API and see the responses. # noqa: E501 OpenAPI spec version: 2.0.20 Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import # import models into model package from culebratester_client.models.culebra_info import CulebraInfo from culebratester_client.models.current_package_name import CurrentPackageName from culebratester_client.models.display_height import DisplayHeight from culebratester_client.models.display_real_size import DisplayRealSize from culebratester_client.models.display_rotation import DisplayRotation from culebratester_client.models.display_rotation_enum import DisplayRotationEnum from culebratester_client.models.display_size_dp import DisplaySizeDp from culebratester_client.models.display_width import DisplayWidth from culebratester_client.models.help import Help from culebratester_client.models.inline_response200 import InlineResponse200 from culebratester_client.models.last_traversed_text import LastTraversedText from culebratester_client.models.object_ref import ObjectRef from culebratester_client.models.point import Point from culebratester_client.models.product_name import ProductName from culebratester_client.models.selector import Selector from culebratester_client.models.status_response import StatusResponse from culebratester_client.models.swipe_body import SwipeBody from culebratester_client.models.text import Text from culebratester_client.models.window_hierarchy import WindowHierarchy from culebratester_client.models.window_hierarchy_child import WindowHierarchyChild

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py

Python

walmart_api_client/__init__.py

EitherSoft/python-walmart-api-client

70b169977130c49f52b958e90c13007f365c9eed

[ "MIT" ]

5

2016-12-09T11:32:16.000Z

2017-07-15T17:22:42.000Z

walmart_api_client/__init__.py

kronas/python-walmart-api-client

70b169977130c49f52b958e90c13007f365c9eed

[ "MIT" ]

null

walmart_api_client/__init__.py

kronas/python-walmart-api-client

70b169977130c49f52b958e90c13007f365c9eed

[ "MIT" ]

1

2017-07-06T06:30:35.000Z

from .core import WalmartApiClient

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py

Python

classifier_keras/transformer/__init__.py

leefsir/Text_Classification

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[ "Apache-2.0" ]

null

classifier_keras/transformer/__init__.py

leefsir/Text_Classification

1d7ccd483374fd5a19b064433cb6e5d51e2039dc

[ "Apache-2.0" ]

null

classifier_keras/transformer/__init__.py

leefsir/Text_Classification

1d7ccd483374fd5a19b064433cb6e5d51e2039dc

[ "Apache-2.0" ]

null

# _*_coding:utf-8_*_ # author leewfeng # 2020/12/5 15:41

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src/dist.py

papaljuka/Barnes-Hut

7fb52a7962d37676c70881657eb09db5497e2c9e

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null

src/dist.py

papaljuka/Barnes-Hut

7fb52a7962d37676c70881657eb09db5497e2c9e

[ "MIT" ]

null

src/dist.py

papaljuka/Barnes-Hut

7fb52a7962d37676c70881657eb09db5497e2c9e

[ "MIT" ]

null

import numpy as np class Point(): def __init__(self, x, y, z): self.x = x self.y = y def distx(self, other): return np.abs(self.x - other.x) def disty(self, other): return np.abs(self.y - other.y) def dist(self, other): x = distx(self, other) y = disty(self, other) return np.sqrt(x**2 + y**2)

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py

Python

tiktalik/loadbalancer/__init__.py

tiktalik-cloud/tiktalik-python

7bbaf394a2259b1427f63f03da7d164305c1af16

[ "MIT" ]

1

2017-02-01T19:26:34.000Z

tiktalik/loadbalancer/__init__.py

tiktalik-cloud/tiktalik-python

7bbaf394a2259b1427f63f03da7d164305c1af16

[ "MIT" ]

2

2016-10-07T16:06:34.000Z

2021-01-15T20:06:06.000Z

tiktalik/loadbalancer/__init__.py

tiktalik-cloud/tiktalik-python

7bbaf394a2259b1427f63f03da7d164305c1af16

[ "MIT" ]

6

2016-07-01T16:06:31.000Z

2020-01-03T13:33:13.000Z

"""Module tiktalik.loadbalancer""" from .connection import LoadBalancerConnection from .objects import LoadBalancer, LoadBalancerBackend, LoadBalancerAction

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py

Python

bender_service/bender/tests/helpers.py

Dreem-Organization/bender-api

9ddc817f130b853127a1925b2a9dced2662f66fc

[ "MIT" ]

null

bender_service/bender/tests/helpers.py

Dreem-Organization/bender-api

9ddc817f130b853127a1925b2a9dced2662f66fc

[ "MIT" ]

2

2021-03-19T22:20:06.000Z

2021-06-10T21:17:12.000Z

bender_service/bender/tests/helpers.py

Dreem-Organization/bender-api

9ddc817f130b853127a1925b2a9dced2662f66fc

[ "MIT" ]

null

from rest_framework.test import APITestCase from django.contrib.auth import get_user_model from bender.models import Experiment, Algo, Trial, Parameter from django.db import transaction import random import uuid User = get_user_model() class BenderTestCase(APITestCase): @transaction.atomic def setUp(self): self.user1 = User.objects.create_user( username="Toto1", password="123456", email="toto1@gmail.com" ) for _ in range(2): experiment = Experiment.objects.create( name="This is my experiment {}".format(uuid.uuid4()), metrics={"metric_name": "lol", "type": "gain"}, owner=self.user1, ) for _ in range(3): algo = Algo.objects.create( experiment=experiment, owner=self.user1, name="algo {}".format(uuid.uuid4()) ) Parameter.objects.create( name="alpha", algo=algo, category=Parameter.UNIFORM, search_space={"high": 5, "low": -3}, ) Parameter.objects.create( name="beta", algo=algo, category=Parameter.UNIFORM, search_space={"high": 5, "low": -3}, ) Parameter.objects.create( name="gamma", algo=algo, category=Parameter.UNIFORM, search_space={"high": 5, "low": -3}, ) for _ in range(4): Trial.objects.create( experiment=experiment, algo=algo, owner=self.user1, parameters={"alpha": random.random(), "beta": random.random(), "gamma": random.random()}, comment="izi trial", results={"lol": random.random()} ) self.user2 = User.objects.create_user( username="Toto2", password="123456", email="toto2@gmail.com", ) for _ in range(3): experiment = Experiment.objects.create( name="This is my experiment {}".format(uuid.uuid4()), metrics=[{'metric_name': 'lol', "type": "loss"}, {'metric_name': 'lal', "type": "reward"}], owner=self.user2, ) for _ in range(3): algo = Algo.objects.create( experiment=experiment, owner=self.user2, name="algo {}".format(uuid.uuid4()) ) Parameter.objects.create( name="alpha", algo=algo, category=Parameter.UNIFORM, search_space={"high": 5, "low": -3}, ) Parameter.objects.create( name="beta", algo=algo, category=Parameter.UNIFORM, search_space={"high": 5, "low": -3}, ) Parameter.objects.create( name="gamma", algo=algo, category=Parameter.UNIFORM, search_space={"high": 5, "low": -3}, ) for _ in range(3): Trial.objects.create( experiment=experiment, algo=algo, owner=self.user2, parameters={"alpha": random.random(), "beta": random.random(), "gamma": random.random()}, comment="izi trial", results={"lol": random.random(), "lal": "a"} ) experiment = Experiment.objects.create( name="This is my experiment 5", metrics=[{"metric_name": 'lole', "type": "loss"}], owner=self.user1, ) experiment.shared_with.add(self.user2) for _ in range(2): algo = Algo.objects.create( experiment=experiment, owner=self.user1, name="mon algo {}".format(uuid.uuid4()), ) Parameter.objects.create( name="alpha", algo=algo, category=Parameter.UNIFORM, search_space={"high": 5, "low": -3}, ) Parameter.objects.create( name="beta", algo=algo, category=Parameter.UNIFORM, search_space={"high": 5, "low": -3}, ) Parameter.objects.create( name="gamma", algo=algo, category=Parameter.UNIFORM, search_space={"high": 5, "low": -3}, ) for _ in range(4): Trial.objects.create( experiment=experiment, owner=self.user1, algo=algo, parameters={"alpha": random.random(), "beta": random.random(), "gamma": random.random()}, comment="izi trial", results={"lole": random.random()} ) for _ in range(2): algo = Algo.objects.create( experiment=experiment, owner=self.user2, name="mon algo {}".format(uuid.uuid4()), ) Parameter.objects.create( name="alpha", algo=algo, category=Parameter.UNIFORM, search_space={"high": 5, "low": -3}, ) Parameter.objects.create( name="beta", algo=algo, category=Parameter.UNIFORM, search_space={"high": 5, "low": -3}, ) Parameter.objects.create( name="gamma", algo=algo, category=Parameter.UNIFORM, search_space={"high": 5, "low": -3}, ) for _ in range(5): Trial.objects.create( experiment=experiment, algo=algo, owner=self.user2, parameters={"alpha": random.random(), "beta": random.random(), "gamma": random.random()}, comment="izi trial", results={"lole": random.random()} ) self.user_admin = User.objects.create_superuser( username="admin", password="123456", email="admin@gmail.com" )

37.005319

86

0.424752

558

6,957

5.231183

0.148746

0.115793

0.087359

0.106886

0.811237

0.772867

0.768071

0.743405

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0.020446

0.458675

6,957

187

87

37.203209

0.754647

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0.7

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0.075607

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0.005556

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0.016667

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0

0.044444

0

null

0

1

0

null

0

6

4ca9d627692efc733f8f99902fdc2154c9bb51c2

188

py

Python

top/__init__.py

cloudorz/top

847f784d47a746106ec937edfa1d23d509c533a2

[ "BSD-3-Clause" ]

2

2017-02-05T16:32:14.000Z

2017-03-01T07:23:14.000Z

top/__init__.py

cloudorz/top

847f784d47a746106ec937edfa1d23d509c533a2

[ "BSD-3-Clause" ]

null

top/__init__.py

cloudorz/top

847f784d47a746106ec937edfa1d23d509c533a2

[ "BSD-3-Clause" ]

null

# coding: utf-8 from .topclient import TopClient from .request import Request from .user import * from .appstore import * from .shipping import * from .item import * from .trade import *

18.8

32

0.75

26

188

5.423077

0.461538

0.283688

0

0.00641

0.170213

188

9

33

20.888889

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null

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1

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6

4cb8fb60a1383132dd90fafad3eed4ee5680be97

34

py

Python

NimSum/__init__.py

jkcw/nim-sum

0d221035697faa5fd9a54e360680949fcaa19c8e

[ "MIT" ]

4

2021-11-28T09:44:33.000Z

2021-12-09T17:40:36.000Z

NimSum/__init__.py

jkcw/nim-sum-calculator

0d221035697faa5fd9a54e360680949fcaa19c8e

[ "MIT" ]

null

NimSum/__init__.py

jkcw/nim-sum-calculator

0d221035697faa5fd9a54e360680949fcaa19c8e

[ "MIT" ]

null

from NimSum.NimSum import NimSum

17

33

0.823529

5

34

5.6

0.6

0

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34

1

34

0.965517

0

1

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1

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null

0

1

0

1

0

1

0

6

4cc46e7300b7f29187a8d60903bdb40d7e0f13d4

164

py

Python

jiamtrader/gateway/binance/__init__.py

zxc1342802/leijmtrader

f24d5593d8708e48f2a9180d9469a6c2af93a08d

[ "MIT" ]

null

jiamtrader/gateway/binance/__init__.py

zxc1342802/leijmtrader

f24d5593d8708e48f2a9180d9469a6c2af93a08d

[ "MIT" ]

null

jiamtrader/gateway/binance/__init__.py

zxc1342802/leijmtrader

f24d5593d8708e48f2a9180d9469a6c2af93a08d

[ "MIT" ]

null

from .binance_usdt_gateway import BinanceUsdtGateway from .binance_spot_gateway import BinanceSpotGateway from .binance_inverse_gateway import BinanceInverseGateway

54.666667

58

0.914634

18

164

8

0.555556

0.229167

0

0.067073

164

3

58

54.666667

0.941176

0

1

0

true

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1

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1

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null

1

0

1

0

null

0

1

0

1

0

1

0

6

4cc9646efce101372d1c3b114bb1bc9f8b2f77f1

217

py

Python

zvt/domain/fundamental/__init__.py

Evergreen2020/zvt

446a2512d716a38a12164b6d4468a6c9de01b986

[ "MIT" ]

2

2020-09-04T03:24:03.000Z

2020-11-27T20:57:55.000Z

zvt/domain/fundamental/__init__.py

Evergreen2020/zvt

446a2512d716a38a12164b6d4468a6c9de01b986

[ "MIT" ]

2

2019-12-20T13:12:30.000Z

2020-01-03T06:24:30.000Z

zvt/domain/fundamental/__init__.py

Evergreen2020/zvt

446a2512d716a38a12164b6d4468a6c9de01b986

[ "MIT" ]

1

2021-01-24T15:44:53.000Z

# -*- coding: utf-8 -*- from zvt.domain.fundamental.dividend_financing import * from zvt.domain.fundamental.finance import * from zvt.domain.fundamental.trading import * from zvt.domain.fundamental.valuation import *

36.166667

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0.788018

28

217

6.071429

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0.305882

0.564706

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0.096774

217

5

56

43.4

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0.096774

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true

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1

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null

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1

0

null

0

1

0

1

0

6

e21f8b80d1373cae40e35deb14b757b3d23ae7cd

85

py

Python

studentManagementSystem/studentManagementSystem/__init__.py

fanlianguo/systemStudent

9e5d7c2f1084208cb73d6f9481a37e7a0950e710

[ "MIT" ]

null

studentManagementSystem/studentManagementSystem/__init__.py

fanlianguo/systemStudent

9e5d7c2f1084208cb73d6f9481a37e7a0950e710

[ "MIT" ]

null

studentManagementSystem/studentManagementSystem/__init__.py

fanlianguo/systemStudent

9e5d7c2f1084208cb73d6f9481a37e7a0950e710

[ "MIT" ]

null

# install database driver from pymysql import install_as_MySQLdb install_as_MySQLdb()

28.333333

38

0.870588

12

85

5.833333

0.666667

0.257143

0.457143

0

0.094118

85

3

39

28.333333

0.909091

0.270588

0

1

0

true

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

1

0

6

e23a2e5d8e2418b644c1c700360b854404808508

52

py

Python

jarviscli/packages/clear.py

lakshay3697/Pydex

348add631838280f904ddb6869d511216b165dc4

[ "MIT" ]

1

2018-02-24T12:41:24.000Z

jarviscli/packages/clear.py

lakshay3697/Pydex

348add631838280f904ddb6869d511216b165dc4

[ "MIT" ]

21

2018-02-24T13:39:05.000Z

2018-02-27T20:03:12.000Z

jarviscli/packages/clear.py

remnestal/Jarvis

cd26682e8f2c89585a04566a60abaa88aa20b8f6

[ "MIT" ]

null

import os def clear_scr(): os.system("clear")

8.666667

22

0.634615

8

52

4

0.75

0

0.211538

52

5

23

10.4

0.780488

0

0.096154

0

1

0.333333

true

0

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

e26f48cda1881f4384a779356f34ebab671ec965

546

py

Python

mindhome_alpha/erpnext/patches/v5_0/rename_taxes_and_charges_master.py

Mindhome/field_service

3aea428815147903eb9af1d0c1b4b9fc7faed057

[ "MIT" ]

1

2021-04-29T14:55:29.000Z

mindhome_alpha/erpnext/patches/v5_0/rename_taxes_and_charges_master.py

Mindhome/field_service

3aea428815147903eb9af1d0c1b4b9fc7faed057

[ "MIT" ]

null

mindhome_alpha/erpnext/patches/v5_0/rename_taxes_and_charges_master.py

Mindhome/field_service

3aea428815147903eb9af1d0c1b4b9fc7faed057

[ "MIT" ]

1

2021-04-29T14:39:01.000Z

from __future__ import unicode_literals import frappe def execute(): if frappe.db.table_exists("Sales Taxes and Charges Master"): frappe.rename_doc("DocType", "Sales Taxes and Charges Master", "Sales Taxes and Charges Template") frappe.delete_doc("DocType", "Sales Taxes and Charges Master") if frappe.db.table_exists("Purchase Taxes and Charges Master"): frappe.rename_doc("DocType", "Purchase Taxes and Charges Master", "Purchase Taxes and Charges Template") frappe.delete_doc("DocType", "Purchase Taxes and Charges Master")

36.4

67

0.765568

75

546

5.426667

0.306667

0.157248

0.29484

0.309582

0.837838

0.702703

0.432432

0

0.1337

546

14

68

39

0.860465

0

0.520147

0

1

0.090909

true

0

0.181818

0

0.272727

0

null

0

1

0

null

0

1

0

6

e275a66c04c34cfbb4a7774d16836e3c136dc34e

249

py

Python

backend/app/core/auth.py

hollyfoxx/ace2-gui

e0f72cafdd524e0cd66549a9315697aa21ae46fa

[ "Apache-2.0" ]

1

2021-07-16T10:34:22.000Z

backend/app/core/auth.py

hollyfoxx/ace2-gui

e0f72cafdd524e0cd66549a9315697aa21ae46fa

[ "Apache-2.0" ]

null

backend/app/core/auth.py

hollyfoxx/ace2-gui

e0f72cafdd524e0cd66549a9315697aa21ae46fa

[ "Apache-2.0" ]

null

from passlib.hash import bcrypt_sha256 def hash_password(password: str) -> str: return bcrypt_sha256.hash(password) def verify_password(password: str, hashed_password: str) -> bool: return bcrypt_sha256.verify(password, hashed_password)

24.9

65

0.779116

33

249

5.666667

0.393939

0.192513

0.203209

0

0.041667

0.13253

249

9

66

27.666667

0.824074

0

1

0.4

false

1

0.2

0.4

1

0

null

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1

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1

0

null

0

1

0

1

0

1

0

6

e2c9d72243fc2f421522a2ced477efe81afadda2

183

py

Python

CA117/Lab_6/main_words_41.py

PRITI1999/OneLineWonders

91a7368e0796e5a3b5839c9165f9fbe5460879f5

[ "MIT" ]

6

2016-02-04T00:15:20.000Z

2019-10-13T13:53:16.000Z

CA117/Lab_6/main_words_41.py

PRITI1999/OneLineWonders

91a7368e0796e5a3b5839c9165f9fbe5460879f5

[ "MIT" ]

2

2016-03-14T04:01:36.000Z

2019-10-16T12:45:34.000Z

CA117/Lab_6/main_words_41.py

PRITI1999/OneLineWonders

91a7368e0796e5a3b5839c9165f9fbe5460879f5

[ "MIT" ]

10

2016-02-09T14:38:32.000Z

2021-05-25T08:16:26.000Z

(lambda W:[print("%s : %d"%(w,W.count(w)))for w in sorted(set(W))if len(w)>3 and W.count(w)>=3])([w.strip("!&'(),-.:;?_").lower()for l in __import__('sys').stdin for w in l.split()])

91.5

182

0.568306

38

183

2.605263

0.552632

0.121212

0.141414

0

0.012048

0.092896

183

1

183

0.584337

0

0.120219

0

1

0

true

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

6

391d337bd332b98cfbe53455750fe4b0cd76180d

42

py

Python

pybble/pebblejs/clock.py

clach04/pybble

736614664d50c07855160730e9b0479b8cc89527

[ "Apache-2.0" ]

72

2016-08-21T00:59:47.000Z

2021-07-17T17:49:05.000Z

pybble/pebblejs/clock.py

clach04/pybble

736614664d50c07855160730e9b0479b8cc89527

[ "Apache-2.0" ]

2

2016-08-21T15:39:28.000Z

2016-08-24T00:09:07.000Z

pybble/pebblejs/clock.py

clach04/pybble

736614664d50c07855160730e9b0479b8cc89527

[ "Apache-2.0" ]

7

2016-08-21T05:47:05.000Z

2019-08-21T17:02:17.000Z

def Clock(): return require('clock')

10.5

27

0.619048

5

42

5.2

0.8

0

0.214286

42

3

28

14

0.787879

0

0.121951

0

1

0.5

true

0

0.5

1

0

1

0

null

0

1

0

null

0

1

0

1

0

6

394c2521227c426544bbd51cb106c5397ebe4e0f

6,679

py

Python

RTND/py/myplot.py

hkujy/BTNDP

06a1555c4a32b91d315649a0abf7378a86aa59f8

[ "MIT" ]

null

RTND/py/myplot.py

hkujy/BTNDP

06a1555c4a32b91d315649a0abf7378a86aa59f8

[ "MIT" ]

7

2019-12-09T18:51:54.000Z

2020-07-08T20:34:12.000Z

RTND/py/myplot.py

hkujy/BTNDP

06a1555c4a32b91d315649a0abf7378a86aa59f8

[ "MIT" ]

null

""" plot graphs """ import pandas as pd import mypara import matplotlib.pyplot as plt import global_para_class as gpc def count_changes(vals): """ input a list of values and check the trend """ counter = 0 num = len(vals) for i in range(1, num-1): if (vals[i]-vals[i-1])*(vals[i]-vals[i+1])<0: counter = counter + 1 return counter def plt_od_cost(mp:mypara.ParaClass(),cases,gl:gpc.GloParaClass): # all_od = [] for w in range(0, mp.num_od): od = [] x = [] for s in cases: if len(s.od)==0: continue map_od =[sw for sw in s.od if sw.id == w][0] od.append(map_od.demand*map_od.mincost) x.append(s.id) plt.figure("OD "+str(w)) if gl.exp_id==1: x_fre = [] num = int((gl.fre_up - gl.fre_lb)/gl.incre) for i in range(0, num): x_fre.append(gl.fre_lb + i * gl.incre) plt.plot(x_fre, od) axes=plt.gca() plt.xlabel("Frequency of Line 2", fontsize=10,fontname='Times New Roman') plt.ylabel("TTC",fontsize=10,fontname='Times New Roman') xtick = axes.get_xticks() ytick = axes.get_yticks() axes.set_xticklabels(xtick, fontsize=10,fontname='Times New Roman') axes.set_yticklabels(ytick, fontsize=10,fontname='Times New Roman') plt.savefig(mp.output_folder+"\\Exp_"+str(gl.exp_id)+"_OD_"+str(w)+".png",bbox_inches='tight',dpi=600) if gpc.is_show_fig: plt.show(block=False) plt.pause(2) plt.close() filename = mp.output_folder+"\\Exp_TTC_"+str(gl.exp_id)+"OD_"+str(w)+".txt" with open(filename,"w+") as f: for oc in od: print("{0}".format(oc), file=f) else: plt.plot(x, od) axes=plt.gca() plt.xlabel("Frequency of Line 2", fontsize=10,fontname='Times New Roman') plt.ylabel("TTC",fontsize=10,fontname='Times New Roman') xtick = axes.get_xticks() ytick = axes.get_yticks() axes.set_xticklabels(xtick, fontsize=10,fontname='Times New Roman') axes.set_yticklabels(ytick, fontsize=10,fontname='Times New Roman') plt.savefig(mp.output_folder+"\\Exp_TTC_"+str(gl.exp_id)+"_OD_"+str(w)+".png",bbox_inches='tight',dpi=600) if gpc.is_show_fig: plt.show(block=False) plt.pause(2) plt.close() filename = mp.output_folder+"\\Exp_"+str(gl.exp_id)+"OD_"+str(w)+".txt" with open(filename,"w+") as f: for oc in od: print("{0}".format(oc), file=f) def main(mp:mypara.ParaClass(), cases,gl:gpc.GloParaClass): plt_od_cost(mp, cases,gl) ttc = [] fair = [] with open(mp.output_folder+"\\objects.txt", "w") as f: print("id,tc,fair",file=f) for c in cases: print("{0},{1},{2}".format(c.id,c.ttc,c.fair),file=f) ttc.append(c.ttc) fair.append(c.fair) if gl.exp_id ==1: plt.figure("ttc") x_fre = [] num = int((gl.fre_up - gl.fre_lb)/gl.incre) for i in range(0, num): x_fre.append(gl.fre_lb + i * gl.incre) plt.plot(x_fre,ttc) plt.xlabel("Frequency of Line 2",fontsize=10, fontname='Times New Roman') plt.ylabel('TTC',fontsize=10,fontname='Times New Roman') axes=plt.gca() xtick = axes.get_xticks() ytick = axes.get_yticks() axes.set_xticklabels(xtick, fontsize=10,fontname='Times New Roman') axes.set_yticklabels(ytick, fontsize=10,fontname='Times New Roman') xmajorFormatter = plt.FormatStrFormatter('%.1f') ymajorFormatter = plt.FormatStrFormatter('%.1f') axes.xaxis.set_major_formatter(xmajorFormatter) axes.yaxis.set_major_formatter(ymajorFormatter) plt.savefig(mp.output_folder+"\\Exp_"+str(gl.exp_id)+"_ttc.png",bbox_inches='tight',dpi=600) if gpc.is_show_fig: plt.show(block=False) plt.pause(2) plt.close() plt.plot(x_fre,fair) plt.xlabel("Frequency of Line 2",fontsize=10, fontname='Times New Roman') plt.ylabel('Fair',fontsize=10,fontname='Times New Roman') axes=plt.gca() xtick = axes.get_xticks() ytick = axes.get_yticks() axes.xaxis.set_major_formatter(xmajorFormatter) axes.yaxis.set_major_formatter(ymajorFormatter) axes.set_xticklabels(xtick, fontsize=10,fontname='Times New Roman') axes.set_yticklabels(ytick, fontsize=10,fontname='Times New Roman') xmajorFormatter = plt.FormatStrFormatter('%.1f') plt.gca().set_yticklabels(['{0:.3f}'.format(x) for x in ytick], fontsize=10,fontname='Times New Roman') ymajorFormatter = plt.FormatStrFormatter('%.3f') plt.savefig(mp.output_folder+"\\Exp_"+str(gl.exp_id)+"_fair.png",bbox_inches='tight',dpi=600) if gpc.is_show_fig: plt.show(block=False) plt.pause(2) plt.close() else: plt.plot(ttc) plt.xlabel("Case Index",fontsize=10, fontname='Times New Roman') plt.ylabel('TTC',fontsize=10,fontname='Times New Roman') axes=plt.gca() xtick = axes.get_xticks() ytick = axes.get_yticks() axes.set_xticklabels(xtick, fontsize=10,fontname='Times New Roman') axes.set_yticklabels(ytick, fontsize=10,fontname='Times New Roman') plt.savefig(mp.output_folder+"\\Exp_"+str(gl.exp_id)+"_ttc.png",bbox_inches='tight',dpi=600) if gpc.is_show_fig: plt.show(block=False) plt.pause(2) plt.close() plt.plot(fair) plt.xlabel("Case Index",fontsize=10, fontname='Times New Roman') plt.ylabel('Fair',fontsize=10,fontname='Times New Roman') axes=plt.gca() xtick = axes.get_xticks() ytick = axes.get_yticks() axes.set_xticklabels(xtick, fontsize=10,fontname='Times New Roman') axes.set_yticklabels(ytick, fontsize=10,fontname='Times New Roman') xmajorFormatter = plt.FormatStrFormatter('%.1f') ymajorFormatter = plt.FormatStrFormatter('%.1f') axes.xaxis.set_major_formatter(xmajorFormatter) axes.yaxis.set_major_formatter(ymajorFormatter) plt.savefig(mp.output_folder+"\\Exp_"+str(gl.exp_id)+"_fare.png",bbox_inches='tight',dpi=600) if gpc.is_show_fig: plt.show(block=False) plt.pause(2) plt.close() pass

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null

0

1

0

null

0

6

1a3e542396420699fc7d93bfb3e45abd36276781

28

py

Python

directory/hello/world.py

jacksorjacksor/introduction-to-html-and-css

b60e381ee3670f83118c80496e1fd9b4341042d3

[ "MIT" ]

null

directory/hello/world.py

jacksorjacksor/introduction-to-html-and-css

b60e381ee3670f83118c80496e1fd9b4341042d3

[ "MIT" ]

null

directory/hello/world.py

jacksorjacksor/introduction-to-html-and-css

b60e381ee3670f83118c80496e1fd9b4341042d3

[ "MIT" ]

null

print("HELLO EVERYONE!!!!")

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27

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0

null

0

1

0

1

0

6

1aa5ac109a883369207a81588fbd3ab44f3252da

42

py

Python

analyser_sourcecode/lang_python/src/test/resources/py/class.py

archguard/archguard

181fbc09411b80bd5ed1d205d57ddb66ecd7e676

[ "MIT" ]

6

2022-03-31T01:16:03.000Z

2022-03-31T06:08:07.000Z

analyser_sourcecode/lang_python/src/test/resources/py/class.py

archguard/scanner

c7723b67ef980af88c078da28c9d2927147daf7a

[ "MIT" ]

null

analyser_sourcecode/lang_python/src/test/resources/py/class.py

archguard/scanner

c7723b67ef980af88c078da28c9d2927147daf7a

[ "MIT" ]

null

class foo: pass class baz(foo): pass

8.4

15

0.642857

7

42

3.857143

0.571429

0.518519

0

0.261905

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true

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null

1

0

1

0

null

0

1

0

6

1aac8b0efdc579dfb41d0d0b57a3f3b080db1347

142

py

Python

linora/param_search/XGBClassifier/__init__.py

Hourout/linora

4269516c9227a18bd1a65e1c6a59e73c74e874d0

[ "Apache-2.0" ]

10

2018-11-22T03:30:39.000Z

2020-08-20T04:39:35.000Z

linora/param_search/XGBClassifier/__init__.py

Hourout/linora

4269516c9227a18bd1a65e1c6a59e73c74e874d0

[ "Apache-2.0" ]

null

linora/param_search/XGBClassifier/__init__.py

Hourout/linora

4269516c9227a18bd1a65e1c6a59e73c74e874d0

[ "Apache-2.0" ]

3

2019-04-09T12:17:34.000Z

2020-08-20T04:33:31.000Z

from linora.param_search.XGBClassifier._RandomSearch import RandomSearch from linora.param_search.XGBClassifier._GridSearch import GridSearch

47.333333

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142

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1

0

null

0

1

0

1

0

6

1ab9363c029472c53b118c43166896e326d38782

37

py

Python

main.py

junhuanchen/BPI-Bit-Python

c03ed50f47210288a14c05c66ace0686374110b3

[ "MIT" ]

28

2019-06-01T12:23:09.000Z

2022-01-30T15:27:51.000Z

main.py

BPI-STEAM/micropython-samples

c03ed50f47210288a14c05c66ace0686374110b3

[ "MIT" ]

2

2019-07-29T12:54:58.000Z

2021-11-27T08:44:57.000Z

main.py

BPI-STEAM/micropython-samples

c03ed50f47210288a14c05c66ace0686374110b3

[ "MIT" ]

15

2019-09-13T12:22:39.000Z

2022-01-05T08:08:45.000Z

import microbit print(dir(microbit))

12.333333

20

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37

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12.333333

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null

0

1

0

1

0

1

0

6

46d68a31ed0c93465cd4560a8a0fd746d6aeff81

15,149

py

Python

tests/renderers/httpdomain/test_render_parameters.py

nayarsystems/openapi

2294de30c37f0876a11d13d003c19a67910af1e0

[ "BSD-2-Clause" ]

1

2020-07-15T15:00:38.000Z

tests/renderers/httpdomain/test_render_parameters.py

dpgaspar/openapi

227ef532eef5e8d21003ce0a77afc687c92944c3

[ "BSD-2-Clause" ]

null

tests/renderers/httpdomain/test_render_parameters.py

dpgaspar/openapi

227ef532eef5e8d21003ce0a77afc687c92944c3

[ "BSD-2-Clause" ]

null

"""OpenAPI spec renderer: render_parameters.""" import itertools import textwrap import pytest from sphinxcontrib.openapi import renderers def textify(generator): return "\n".join(generator) def test_render_parameters_no_items(testrenderer): """No parameter definitions are rendered.""" markup = textify(testrenderer.render_parameters([])) assert markup == "" def test_render_parameters_one_item(testrenderer): """One usual parameter definition is rendered.""" markup = textify( testrenderer.render_parameters( [ { "name": "evidenceId", "in": "path", "required": True, "description": "A unique evidence identifier to query.", "schema": {"type": "string"}, } ] ) ) assert markup == textwrap.dedent( """\ :param evidenceId: A unique evidence identifier to query. :paramtype evidenceId: string, required """.rstrip() ) def test_render_parameters_many_items(testrenderer): """Many parameter definitions are rendered.""" markup = textify( testrenderer.render_parameters( [ { "name": "evidenceId", "in": "path", "required": True, "description": "A unique evidence identifier to query.", "schema": {"type": "string"}, }, { "name": "details", "in": "query", "description": "If true, information w/ details is returned.", "schema": {"type": "boolean"}, }, { "name": "Api-Version", "in": "header", "default": "1", "description": "API version to use for the request.", "schema": {"type": "integer"}, }, ] ) ) assert markup == textwrap.dedent( """\ :reqheader Api-Version: API version to use for the request. :reqheadertype Api-Version: integer :param evidenceId: A unique evidence identifier to query. :paramtype evidenceId: string, required :queryparam details: If true, information w/ details is returned. :queryparamtype details: boolean """.rstrip() ) @pytest.mark.parametrize("permutation_seq", itertools.permutations(range(3))) def test_render_parameters_many_items_ordered(testrenderer, permutation_seq): """Many parameter definitions are rendered and properly ordered.""" parameters = [ { "name": "evidenceId", "in": "path", "required": True, "description": "A unique evidence identifier to query.", "schema": {"type": "string"}, }, { "name": "details", "in": "query", "description": "If true, information w/ details is returned.", "schema": {"type": "boolean"}, }, { "name": "Api-Version", "in": "header", "required": False, "default": "1", "description": "API version to use for the request.", "schema": {"type": "integer"}, }, ] markup = textify( testrenderer.render_parameters( # Since the test receives a permutation sequence as input, # we need to ensure that parameters are shuffled according # to that sequence, because this is the essence of the test. [parameters[seq] for seq in permutation_seq] ) ) assert markup == textwrap.dedent( """\ :reqheader Api-Version: API version to use for the request. :reqheadertype Api-Version: integer :param evidenceId: A unique evidence identifier to query. :paramtype evidenceId: string, required :queryparam details: If true, information w/ details is returned. :queryparamtype details: boolean """.rstrip() ) def test_render_parameters_many_items_stable_order(testrenderer): """Many parameter definitions are rendered w/ preserved order.""" markup = textify( testrenderer.render_parameters( [ { "name": "kind", "in": "path", "required": True, "description": "An evidence kind.", "schema": {"type": "string"}, }, { "name": "Api-Version", "in": "header", "default": "1", "description": "API version to use for the request.", "schema": {"type": "integer"}, }, { "name": "details", "in": "query", "description": "If true, information w/ details is returned.", "schema": {"type": "boolean"}, }, { "name": "evidenceId", "in": "path", "required": True, "description": "A unique evidence identifier to query.", "schema": {"type": "string"}, }, { "name": "related", "in": "query", "description": "If true, links to related evidences are returned.", "schema": {"type": "boolean"}, }, { "name": "Accept", "in": "header", "default": "application/json", "description": "A desired Content-Type of HTTP response.", "schema": {"type": "string"}, }, ] ) ) assert markup == textwrap.dedent( """\ :reqheader Api-Version: API version to use for the request. :reqheadertype Api-Version: integer :reqheader Accept: A desired Content-Type of HTTP response. :reqheadertype Accept: string :param kind: An evidence kind. :paramtype kind: string, required :param evidenceId: A unique evidence identifier to query. :paramtype evidenceId: string, required :queryparam details: If true, information w/ details is returned. :queryparamtype details: boolean :queryparam related: If true, links to related evidences are returned. :queryparamtype related: boolean """.rstrip() ) def test_render_parameters_custom_order(fakestate): """Many parameter definitions are rendered w/ preserved order.""" testrenderer = renderers.HttpdomainRenderer( fakestate, {"request-parameters-order": ["query", "path", "header"]} ) markup = textify( testrenderer.render_parameters( [ { "name": "kind", "in": "path", "required": True, "description": "An evidence kind.", "schema": {"type": "string"}, }, { "name": "Api-Version", "in": "header", "default": "1", "description": "API version to use for the request.", "schema": {"type": "integer"}, }, { "name": "details", "in": "query", "description": "If true, information w/ details is returned.", "schema": {"type": "boolean"}, }, { "name": "evidenceId", "in": "path", "required": True, "description": "A unique evidence identifier to query.", "schema": {"type": "string"}, }, { "name": "related", "in": "query", "description": "If true, links to related evidences are returned.", "schema": {"type": "boolean"}, }, { "name": "Accept", "in": "header", "default": "application/json", "description": "A desired Content-Type of HTTP response.", "schema": {"type": "string"}, }, ] ) ) assert markup == textwrap.dedent( """\ :queryparam details: If true, information w/ details is returned. :queryparamtype details: boolean :queryparam related: If true, links to related evidences are returned. :queryparamtype related: boolean :param kind: An evidence kind. :paramtype kind: string, required :param evidenceId: A unique evidence identifier to query. :paramtype evidenceId: string, required :reqheader Api-Version: API version to use for the request. :reqheadertype Api-Version: integer :reqheader Accept: A desired Content-Type of HTTP response. :reqheadertype Accept: string """.rstrip() ) def test_render_parameters_custom_order_partial(fakestate): """Many parameter definitions are rendered w/ preserved order.""" testrenderer = renderers.HttpdomainRenderer( fakestate, {"request-parameters-order": ["query", "path"]} ) markup = textify( testrenderer.render_parameters( [ { "name": "kind", "in": "path", "required": True, "description": "An evidence kind.", "schema": {"type": "string"}, }, { "name": "Api-Version", "in": "header", "default": "1", "description": "API version to use for the request.", "schema": {"type": "integer"}, }, { "name": "details", "in": "query", "description": "If true, information w/ details is returned.", "schema": {"type": "boolean"}, }, { "name": "evidenceId", "in": "path", "required": True, "description": "A unique evidence identifier to query.", "schema": {"type": "string"}, }, { "name": "related", "in": "query", "description": "If true, links to related evidences are returned.", "schema": {"type": "boolean"}, }, { "name": "Accept", "in": "header", "default": "application/json", "description": "A desired Content-Type of HTTP response.", "schema": {"type": "string"}, }, ] ) ) assert markup == textwrap.dedent( """\ :queryparam details: If true, information w/ details is returned. :queryparamtype details: boolean :queryparam related: If true, links to related evidences are returned. :queryparamtype related: boolean :param kind: An evidence kind. :paramtype kind: string, required :param evidenceId: A unique evidence identifier to query. :paramtype evidenceId: string, required :reqheader Api-Version: API version to use for the request. :reqheadertype Api-Version: integer :reqheader Accept: A desired Content-Type of HTTP response. :reqheadertype Accept: string """.rstrip() ) def test_render_parameters_case_insensitive(fakestate): """Many parameter definitions are rendered w/ preserved order.""" testrenderer = renderers.HttpdomainRenderer( fakestate, {"request-parameters-order": ["QUERY", "pAth", "Header"]} ) markup = textify( testrenderer.render_parameters( [ { "name": "kind", "in": "PATH", "required": True, "description": "An evidence kind.", "schema": {"type": "string"}, }, { "name": "Api-Version", "in": "header", "default": "1", "description": "API version to use for the request.", "schema": {"type": "integer"}, }, { "name": "details", "in": "query", "description": "If true, information w/ details is returned.", "schema": {"type": "boolean"}, }, { "name": "evidenceId", "in": "Path", "required": True, "description": "A unique evidence identifier to query.", "schema": {"type": "string"}, }, { "name": "related", "in": "qUery", "description": "If true, links to related evidences are returned.", "schema": {"type": "boolean"}, }, { "name": "Accept", "in": "headeR", "default": "application/json", "description": "A desired Content-Type of HTTP response.", "schema": {"type": "string"}, }, ] ) ) assert markup == textwrap.dedent( """\ :queryparam details: If true, information w/ details is returned. :queryparamtype details: boolean :queryparam related: If true, links to related evidences are returned. :queryparamtype related: boolean :param kind: An evidence kind. :paramtype kind: string, required :param evidenceId: A unique evidence identifier to query. :paramtype evidenceId: string, required :reqheader Api-Version: API version to use for the request. :reqheadertype Api-Version: integer :reqheader Accept: A desired Content-Type of HTTP response. :reqheadertype Accept: string """.rstrip() )

34.042697

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0

0.000802

0.423856

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34.119369

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0.042313

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0.026846

1

0.030201

false

0

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0.003356

0.04698

0

null

0

1

0

null

0

6

20194f53cc9d746bc3c43a949e6149571eebfac9

5,385

py

Python

bq_loader/__main__.py

naustica/bq_loader

370c0f721d22bae485d626bc14cbc5162d86f2db

[ "MIT" ]

null

bq_loader/__main__.py

naustica/bq_loader

370c0f721d22bae485d626bc14cbc5162d86f2db

[ "MIT" ]

null

bq_loader/__main__.py

naustica/bq_loader

370c0f721d22bae485d626bc14cbc5162d86f2db

[ "MIT" ]

null

from PyInquirer import prompt from bq_loader import create_table_from_local, create_table_from_bucket, upload_files_to_bucket introduction_question = [ { 'type': 'list', 'name': 'method', 'message': 'Please choose a method', 'choices': ['create_table_from_local', 'create_table_from_bucket', 'upload_files_to_bucket'] } ] questions_create_table_from_local = [ { 'type': 'input', 'name': 'table_id', 'message': 'Please enter a table id' }, { 'type': 'input', 'name': 'project_id', 'message': 'Please enter a project id' }, { 'type': 'input', 'name': 'dataset_id', 'message': 'Please enter a dataset id' }, { 'type': 'input', 'name': 'file_path', 'message': 'Please enter a file path' }, { 'type': 'input', 'name': 'schema_file_path', 'message': 'Please enter a schema file' }, { 'type': 'list', 'name': 'source_format', 'message': 'Please choose a source format', 'choices': ['jsonl', 'avro', 'csv', 'mro', 'orc', 'parquet'] }, { 'type': 'list', 'name': 'write_disposition', 'message': 'Please choose an action that should occur if the destination table already exists', 'choices': ['WRITE_TRUNCATE', 'WRITE_APPEND', 'WRITE_EMPTY'] }, { 'type': 'input', 'name': 'table_description', 'message': 'Please enter a table description' }, { 'type': 'confirm', 'name': 'ignore_unknown_values', 'message': 'Ignore unknown values?', }, ] questions_create_table_from_bucket = [ { 'type': 'input', 'name': 'uri', 'message': 'Please enter a Google Bucket URI' }, { 'type': 'input', 'name': 'table_id', 'message': 'Please enter a table id' }, { 'type': 'input', 'name': 'project_id', 'message': 'Please enter a project id' }, { 'type': 'input', 'name': 'dataset_id', 'message': 'Please enter a dataset id' }, { 'type': 'input', 'name': 'schema_file_path', 'message': 'Please enter a schema file' }, { 'type': 'list', 'name': 'source_format', 'message': 'Please choose a source format', 'choices': ['jsonl', 'avro', 'csv', 'mro', 'orc', 'parquet'] }, { 'type': 'list', 'name': 'write_disposition', 'message': 'Please choose an action that should occur if the destination table already exists', 'choices': ['WRITE_TRUNCATE', 'WRITE_APPEND', 'WRITE_EMPTY'] }, { 'type': 'input', 'name': 'table_description', 'message': 'Please enter a table description' }, { 'type': 'confirm', 'name': 'ignore_unknown_values', 'message': 'Ignore unknown values?', }, ] questions_upload_files_to_bucket = [ { 'type': 'input', 'name': 'bucket_name', 'message': 'Please enter a bucket name' }, { 'type': 'input', 'name': 'file_path', 'message': 'Please enter a file path' }, { 'type': 'input', 'name': 'gcb_dir', 'message': 'Please enter the name of the directory which should be created' } ] def main(): answer = prompt(introduction_question) if answer['method'] == 'create_table_from_local': answers = prompt(questions_create_table_from_local) create_table_from_local(table_id=answers['table_id'], project_id=answers['project_id'], dataset_id=answers['dataset_id'], file_path=answers['file_path'], schema_file_path=answers['schema_file_path'], source_format=answers['source_format'], write_disposition=answers['write_disposition'], table_description=answers['table_description'], ignore_unknown_values=answers['ignore_unknown_values']) if answer['method'] == 'create_table_from_bucket': answers = prompt(questions_create_table_from_bucket) create_table_from_bucket(uri=answers['uri'], table_id=answers['table_id'], project_id=answers['project_id'], dataset_id=answers['dataset_id'], schema_file_path=answers['schema_file_path'], source_format=answers['source_format'], write_disposition=answers['write_disposition'], table_description=answers['table_description'], ignore_unknown_values=answers['ignore_unknown_values']) if answer['method'] == 'upload_files_to_bucket': answers = prompt(questions_upload_files_to_bucket) upload_files_to_bucket(bucket_name=answers['bucket_name'], file_path=answers['file_path'], gcb_dir=answers['gcb_dir']) if __name__ == '__main__': main()

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0.52572

515

5,385

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0.143689

0.096943

0.072707

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0.726324

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0

0.340204

5,385

170

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0.754855

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0

null

0

1

0

null

0

6

2022aecc2d61794eec27e4fc0401a51eda13e91b

10,544

py

Python

tensorflow/utils/layers.py

cadurosar/GAT

2b674568a19403143543ab938c84aeba0a5d16e9

[ "MIT" ]

null

tensorflow/utils/layers.py

cadurosar/GAT

2b674568a19403143543ab938c84aeba0a5d16e9

[ "MIT" ]

null

tensorflow/utils/layers.py

cadurosar/GAT

2b674568a19403143543ab938c84aeba0a5d16e9

[ "MIT" ]

1

2018-12-11T16:35:55.000Z

import numpy as np import tensorflow as tf conv1d = tf.layers.conv1d # attention (Velickovic et al.) def attn_head(seq, out_sz, bias_mat, activation, in_drop=0.0, coef_drop=0.0, residual=False, use_bias=True): with tf.name_scope('my_attn'): if in_drop != 0.0: seq = tf.nn.dropout(seq, 1.0 - in_drop) seq_fts = tf.layers.conv1d(seq, out_sz, 1, use_bias=False) # simplest self-attention possible f_1 = tf.layers.conv1d(seq_fts, 1, 1) f_2 = tf.layers.conv1d(seq_fts, 1, 1) logits = f_1 + tf.transpose(f_2, [0, 2, 1]) coefs = tf.nn.softmax(tf.nn.leaky_relu(logits) + bias_mat) if coef_drop != 0.0: coefs = tf.nn.dropout(coefs, 1.0 - coef_drop) if in_drop != 0.0: seq_fts = tf.nn.dropout(seq_fts, 1.0 - in_drop) vals = tf.matmul(coefs, seq_fts) if use_bias: ret = tf.contrib.layers.bias_add(vals) # residual connection if residual: if seq.shape[-1] != ret.shape[-1]: ret = ret + conv1d(seq, ret.shape[-1], 1) # activation else: seq_fts = ret + seq return activation(ret) # activation # Experimental sparse attention head (for running on datasets such as Pubmed) # N.B. Because of limitations of current TF implementation, will work _only_ if batch_size = 1! def sp_attn_head(seq, out_sz, adj_mat, activation, nb_nodes, in_drop=0.0, coef_drop=0.0, residual=False, nnz=None, use_bias=True, intra_drop=None, intra_activation=None, scheme_norm=False, scheme_init_std=None): with tf.name_scope('sp_attn'): if in_drop != 0.0: seq = tf.nn.dropout(seq, 1.0 - in_drop) seq_fts = tf.layers.conv1d(seq, out_sz, 1, use_bias=False) # simplest self-attention possible f_1 = tf.layers.conv1d(seq_fts, 1, 1) f_2 = tf.layers.conv1d(seq_fts, 1, 1) f_1 = tf.reshape(f_1, (nb_nodes, 1)) f_2 = tf.reshape(f_2, (nb_nodes, 1)) f_1 = adj_mat*f_1 f_2 = adj_mat * tf.transpose(f_2, [1,0]) logits = tf.sparse_add(f_1, f_2) lrelu = tf.SparseTensor(indices=logits.indices, values=tf.nn.leaky_relu(logits.values), dense_shape=logits.dense_shape) coefs = tf.sparse_softmax(lrelu) if coef_drop != 0.0: coefs = tf.SparseTensor(indices=coefs.indices, values=tf.nn.dropout(coefs.values, 1.0 - coef_drop), dense_shape=coefs.dense_shape) if in_drop != 0.0: seq_fts = tf.nn.dropout(seq_fts, 1.0 - in_drop) # As tf.sparse_tensor_dense_matmul expects its arguments to have rank-2, # here we make an assumption that our input is of batch size 1, and reshape appropriately. # The method will fail in all other cases! coefs = tf.sparse_reshape(coefs, [nb_nodes, nb_nodes]) seq_fts = tf.squeeze(seq_fts) vals = tf.sparse_tensor_dense_matmul(coefs, seq_fts) vals = tf.expand_dims(vals, axis=0) vals.set_shape([1, nb_nodes, out_sz]) ret = tf.contrib.layers.bias_add(vals) # residual connection if residual: if seq.shape[-1] != ret.shape[-1]: ret = ret + conv1d(seq, ret.shape[-1], 1) # activation else: seq_fts = ret + seq return activation(ret) # activation # neural contraction (Vialatte et al.) def sp_cttn_head(seq, out_sz, adj_mat, activation, nb_nodes, in_drop=0.0, coef_drop=0.0, residual=False, nnz=None, use_bias=True, intra_drop=None, intra_activation=None, scheme_norm=tf.sparse_softmax, scheme_init_std=None): if intra_drop is None: intra_drop = in_drop with tf.name_scope('sp_contraction'): if in_drop != 0.0: seq = tf.nn.dropout(seq, 1.0 - in_drop) # right operand SXW seq_fts = tf.layers.conv1d(seq, out_sz, 1, use_bias=False) if not(intra_activation is None): seq_fts = intra_activation(seq_fts) if intra_drop != 0.0: seq_fts = tf.nn.dropout(seq_fts, 1.0 - intra_drop) # left operand SXW initializer = None if scheme_init_std is None else tf.truncated_normal_initializer(0.0,scheme_init_std) scheme_kernel = tf.get_variable('scheme_kernel', (nnz,), initializer=initializer, trainable=True) scheme = tf.SparseTensor(indices = adj_mat.indices, values = scheme_kernel, dense_shape = adj_mat.dense_shape) scheme = tf.sparse_add(scheme, adj_mat) if not(scheme_norm is None): scheme = scheme_norm(scheme) if coef_drop != 0.0: scheme = tf.SparseTensor(indices=scheme.indices, values=tf.nn.dropout(scheme.values, 1.0 - coef_drop), dense_shape=scheme.dense_shape) scheme = tf.sparse_reshape(scheme, [nb_nodes, nb_nodes]) seq_fts = tf.squeeze(seq_fts) vals = tf.sparse_tensor_dense_matmul(scheme, seq_fts) vals = tf.expand_dims(vals, axis=0) vals.set_shape([1, nb_nodes, out_sz]) # bias if use_bias: ret = tf.contrib.layers.bias_add(vals) # residual connection if residual: if seq.shape[-1] != ret.shape[-1]: ret = ret + conv1d(seq, ret.shape[-1], 1) else: seq_fts = ret + seq # activation return activation(ret) # original graph convolution (Kipf et al.) def sp_gcn_head(seq, out_sz, adj_mat, activation, nb_nodes, in_drop=0.0, coef_drop=0.0, residual=False, nnz=None, use_bias=True, intra_drop=None, intra_activation=None, scheme_norm=None, scheme_init_std=None): if intra_drop is None: intra_drop = in_drop with tf.name_scope('sp_gcn'): if in_drop != 0.0: seq = tf.nn.dropout(seq, 1.0 - in_drop) # right operand SXW seq_fts = tf.layers.conv1d(seq, out_sz, 1, use_bias=False) if not(intra_activation is None): seq_fts = intra_activation(seq_fts) if intra_drop != 0.0: seq_fts = tf.nn.dropout(seq_fts, 1.0 - intra_drop) # left operand SXW scheme = adj_mat if not(scheme_norm is None): scheme = scheme_norm(scheme) if coef_drop != 0.0: scheme = tf.SparseTensor(indices=scheme.indices, values=tf.nn.dropout(scheme.values, 1.0 - coef_drop), dense_shape=scheme.dense_shape) scheme = tf.sparse_reshape(scheme, [nb_nodes, nb_nodes]) seq_fts = tf.squeeze(seq_fts) vals = tf.sparse_tensor_dense_matmul(scheme, seq_fts) vals = tf.expand_dims(vals, axis=0) vals.set_shape([1, nb_nodes, out_sz]) # bias if use_bias: ret = tf.contrib.layers.bias_add(vals) # residual connection if residual: if seq.shape[-1] != ret.shape[-1]: ret = ret + conv1d(seq, ret.shape[-1], 1) else: seq_fts = ret + seq # activation return activation(ret) # topology adaptative graph convolution (Du et al.) def sp_tagcn_head(seq, out_sz, adj_mat, activation, nb_nodes, in_drop=0.0, coef_drop=0.0, residual=False, nnz=None, use_bias=True, intra_drop=None, intra_activation=None, scheme_norm=None, scheme_init_std=None, K=2): #K is the polynomial order if intra_drop is None: intra_drop = in_drop with tf.name_scope('sp_gcn'): if in_drop != 0.0: seq = tf.nn.dropout(seq, 1.0 - in_drop) # preprocessing S scheme = adj_mat if not(scheme_norm is None): scheme = scheme_norm(scheme) if coef_drop != 0.0: scheme = tf.SparseTensor(indices=scheme.indices, values=tf.nn.dropout(scheme.values, 1.0 - coef_drop), dense_shape=scheme.dense_shape) scheme = tf.sparse_reshape(scheme, [nb_nodes, nb_nodes]) vals = None assert K > 0 for k in range(1, K+1): # right operand SXW seq_fts = tf.layers.conv1d(seq, out_sz, 1, use_bias=False) if not(intra_activation is None): seq_fts = intra_activation(seq_fts) if intra_drop != 0.0: seq_fts = tf.nn.dropout(seq_fts, 1.0 - intra_drop) seq_fts = tf.squeeze(seq_fts) # left operand SXW for ik in range(k): seq_fts = tf.sparse_tensor_dense_matmul(scheme, seq_fts) # sum if vals is None: vals = seq_fts else: vals = vals + seq_fts # shape vals = tf.expand_dims(vals, axis=0) vals.set_shape([1, nb_nodes, out_sz]) # bias if use_bias: ret = tf.contrib.layers.bias_add(vals) # residual connection if residual: if seq.shape[-1] != ret.shape[-1]: ret = ret + conv1d(seq, ret.shape[-1], 1) else: seq_fts = ret + seq # activation return activation(ret) # regular fully connected layer without using the graph def mlp_head(seq, out_sz, adj_mat=None, activation=tf.nn.relu, nb_nodes=None, in_drop=0.0, coef_drop=0.0, residual=False, nnz=None, use_bias=True, intra_drop=None, intra_activation=None, scheme_norm=None, scheme_init_std=None): if intra_drop is None: intra_drop = in_drop with tf.name_scope('mlp'): if in_drop != 0.0: seq = tf.nn.dropout(seq, 1.0 - in_drop) # operation XW seq_fts = tf.layers.conv1d(seq, out_sz, 1, use_bias=False) if not(intra_activation is None): seq_fts = intra_activation(seq_fts) #if intra_drop != 0.0: # seq_fts = tf.nn.dropout(seq_fts, 1.0 - intra_drop) # bias if use_bias: ret = tf.contrib.layers.bias_add(seq_fts) # residual connection if residual: if seq.shape[-1] != ret.shape[-1]: ret = ret + conv1d(seq, ret.shape[-1], 1) else: seq_fts = ret + seq # activation return activation(ret)

37.257951

121

0.579097

1,497

10,544

3.867067

0.111556

0.054932

0.030057

0.019347

0.753153

0.727587

0.72085

0.709794

0.70323

0

0.026086

0.316483

10,544

282

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37.390071

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0.10698

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false

0

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0

1

0

1

0

null

0

6

b37b8a17ac980bb70d3d8c8d6efaf79ebc7a3e6e

6,524

py

Python

MacGybot/commands/usercalendar.py

MathieuBrillard/le_tavernier

45f27bb20b47478f5d2ea92c2433cfffb32ddbb8

[ "MIT" ]

null

MacGybot/commands/usercalendar.py

MathieuBrillard/le_tavernier

45f27bb20b47478f5d2ea92c2433cfffb32ddbb8

[ "MIT" ]

null

MacGybot/commands/usercalendar.py

MathieuBrillard/le_tavernier

45f27bb20b47478f5d2ea92c2433cfffb32ddbb8

[ "MIT" ]

null

# date time and background tasks import asyncio import datetime as dt # manage generated files import os # errors and calendar generation from commands.calendrier.gen_cal import gen_cal from commands.calendrier.errors import IncorrectFormat # discord libs import hikari import lightbulb from lightbulb import commands # The options the command will have. @lightbulb.option("format", "The format of calendar you want to get.", str) # Convert the function into a command @lightbulb.command("usercalendar", "Get a calendar.") # Define the types of command that this function will implement @lightbulb.implements(commands.PrefixCommand, commands.SlashCommand) async def usercalendar(ctx: lightbulb.context.Context) -> None: format = ctx.options._options["format"] # get the argument try: ## generate the name of the file ## user_id = str(ctx.author.id) file_name = user_id + "_" + str(dt.datetime.now().date()) + "_0.png" path = os.getcwd() gen_cal(format, file_name, user_id) except IncorrectFormat as e: # handle arguments errors await ctx.respond(IncorrectFormat.__str__(e)) return ## dropdown creation ## select_menu = ( ctx.bot.rest.build_action_row() .add_select_menu("format_selection") .set_placeholder("Pick another format here.") ) select_menu_disabled = ( ctx.bot.rest.build_action_row() .add_select_menu("format_selection_disabled") .set_placeholder("Pick another format here.") ).set_is_disabled(True) opts = ("day", "week", "month") for opt in opts: select_menu.add_option( opt.capitalize(), opt, ).add_to_menu() select_menu_disabled.add_option( opt.capitalize(), opt, ).add_to_menu() ## generate embed response ## embed = ( hikari.Embed( title=f"{format.capitalize()}ly Calendar", description="", colour=hikari.Colour(0x563275), # Doing it like this is important. timestamp=dt.datetime.now().astimezone(), ) .set_image(hikari.files.File(f"{path}\\commands\\calendrier\\generated\\{file_name}")) .set_author(name="Information") .set_footer( text=f"Requested by {ctx.member.display_name}", icon=ctx.member.avatar_url, ) ) ## send response ## resp = await ctx.respond(embed=embed, component=select_menu.add_to_container()) msg = await resp.message() ## handle events ## try: event = await ctx.bot.wait_for( hikari.InteractionCreateEvent, timeout = 10, #TODO: set it to 60 predicate = lambda e: isinstance(e.interaction, hikari.ComponentInteraction) and e.interaction.user.id == ctx.author.id and e.interaction.message.id == msg.id and e.interaction.component_type == hikari.ComponentType.SELECT_MENU ) except asyncio.TimeoutError: await msg.edit(component=select_menu_disabled.add_to_container()) else: await ctx.respond(response_type=5, content="Loading ...") await msg.edit(component=select_menu_disabled.add_to_container()) if event.interaction.values[0] == "month": await handle_dropdown(ctx, format="month", old_msg=msg) elif event.interaction.values[0] == "week": await handle_dropdown(ctx, format="week", old_msg=msg) elif event.interaction.values[0] == "day": await handle_dropdown(ctx, format="day", old_msg=msg) async def handle_dropdown(ctx: lightbulb.context.Context, format: str, old_msg: hikari.Message) -> None: ## generate the name of the file ## user_id = str(ctx.author.id) file_name = user_id + str(dt.datetime.now().date()) + "_1.png" path = os.getcwd() gen_cal(format, file_name, user_id) ## dropdown creation ## select_menu = ( ctx.bot.rest.build_action_row() .add_select_menu("format_selection_2") .set_placeholder("Pick another format here.") ) select_menu_disabled = ( ctx.bot.rest.build_action_row() .add_select_menu("format_selection_disabled_2") .set_placeholder("Pick another format here.") ).set_is_disabled(True) opts = ("day", "week", "month") for opt in opts: select_menu.add_option( opt.capitalize(), opt, ).add_to_menu() select_menu_disabled.add_option( opt.capitalize(), opt, ).add_to_menu() ## generate embed response ## embed = ( hikari.Embed( title=f"{format.capitalize()}ly Calendar", description="", colour=hikari.Colour(0x563275), # Doing it like this is important. timestamp=dt.datetime.now().astimezone(), ) .set_image(hikari.files.File(f"{path}\\commands\\calendrier\\generated\\{file_name}")) .set_author(name="Information") .set_footer( text=f"Requested by {ctx.member.display_name}", icon=ctx.member.avatar_url, ) ) ## send response ## old_msg = await old_msg.edit(embed=embed, replace_attachments=True, component=select_menu.add_to_container()) await ctx.delete_last_response() ## handle events ## try: event = await ctx.bot.wait_for( hikari.InteractionCreateEvent, timeout = 10, #TODO: set it to 60 predicate = lambda e: isinstance(e.interaction, hikari.ComponentInteraction) and e.interaction.user.id == ctx.author.id and e.interaction.message.id == old_msg.id and e.interaction.component_type == hikari.ComponentType.SELECT_MENU ) except asyncio.TimeoutError: await old_msg.edit(component=select_menu_disabled.add_to_container()) else: if event.interaction.values[0] == "month": await handle_dropdown(ctx, format="month", old_msg=old_msg) elif event.interaction.values[0] == "week": await handle_dropdown(ctx, format="week", old_msg=old_msg) elif event.interaction.values[0] == "day": await handle_dropdown(ctx, format="day", old_msg=old_msg) def load(bot: lightbulb.BotApp) -> None: bot.command(usercalendar) def unload(bot: lightbulb.BotApp) -> None: bot.remove_command(bot.get_slash_command("usercalendar"))

38.152047

113

0.633507

778

6,524

5.12982

0.22108

0.047607

0.031571

0.034578

0.735405

0.722876

0.706339

0.705838

0.704335

0

0.006757

0.25138

6,524

170

114

38.376471

0.810401

0.089362

0

0.640845

1

0

0.108374

0.042806

0

0.002718

0.005882

0

1

0.014085

false

0

0.056338

0

0.077465

0

null

0

1

0

1

0

null

0

6

b3af5a30a7309c2237293b079594ba01ad993b36

162

py

Python

memberportal/api_member_tools/serializers.py

kodaxx/MemberMatters

880655bb3201441985a88a2f7750ad65cc781052

[ "MIT" ]

18

2020-02-03T12:38:53.000Z

2022-02-08T00:44:35.000Z

memberportal/api_member_tools/serializers.py

kodaxx/MemberMatters

880655bb3201441985a88a2f7750ad65cc781052

[ "MIT" ]

111

2020-02-02T05:02:01.000Z

2022-03-28T04:46:27.000Z

memberportal/api_member_tools/serializers.py

kodaxx/MemberMatters

880655bb3201441985a88a2f7750ad65cc781052

[ "MIT" ]

15

2020-02-03T11:03:30.000Z

2021-12-05T00:33:02.000Z

from rest_framework_simplejwt.serializers import TokenObtainPairSerializer from rest_framework import serializers from access.models import DoorLog, InterlockLog

40.5

74

0.901235

18

162

7.944444

0.611111

0.111888

0.237762

0

0.080247

162

3

75

54

0.959732

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

6

b613de79bf21442175f48e8d6ec8b83b4cd95c66

1,454

py

Python

designpdfviwer.py

xi6th/Python_Algorithm

05852b6fe133df2d83ae464b779b0818b173919d

[ "MIT" ]

null

designpdfviwer.py

xi6th/Python_Algorithm

05852b6fe133df2d83ae464b779b0818b173919d

[ "MIT" ]

null

designpdfviwer.py

xi6th/Python_Algorithm

05852b6fe133df2d83ae464b779b0818b173919d

[ "MIT" ]

null

#!/bin/python3 import math import os import random import re import sys import string # # Complete the 'designerPdfViewer' function below. # # The function is expected to return an INTEGER. # The function accepts following parameters: # 1. INTEGER_ARRAY h # 2. STRING word # # def designerPdfViewer(h, word): # letters = list(string.ascii_lowercase) # words = [] # height = [] # length_of_word = len(word) # for w in word: # relative_position = letters.index(w) # words.append(relative_position) # for i in words: # index_item = h[i] # height.append(index_item) # # Write your code here # maximum_letter = max(height) # total_height = (length_of_word * 1) * maximum_letter # print(total_height) # h = [1,3,1,3,1,4,1,3,2,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,7] # word = ["abcy"] # designerPdfViewer(h,word) def designerPdfViewer(h, word): letters = list(string.ascii_lowercase) words = [] height = [] length_of_word = len(word) for w in word: relative_position = letters.index(w) words.append(relative_position) for i in words: index_item = h[i] height.append(index_item) # Write your code here maximum_letter = max(height) total_height = (length_of_word * 1) * maximum_letter return(total_height) h = [1,3,1,3,1,4,1,3,2,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,7] word = "abcy" print(designerPdfViewer(h,word))

23.079365

59

0.640303

224

1,454

4.035714

0.272321

0.066372

0.09292

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1,454

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null

0

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6

373a3c867afe3f8541cd9909489c2577dc8458fd

211

py

Python

torchtoolbox/nn/__init__.py

daBawse167/torch-toolbox

a1c0440127bca00201dfa0d0e0dcbafb65628632

[ "BSD-3-Clause" ]

1

2021-01-06T08:17:28.000Z

torchtoolbox/nn/__init__.py

daBawse167/torch-toolbox

a1c0440127bca00201dfa0d0e0dcbafb65628632

[ "BSD-3-Clause" ]

null

torchtoolbox/nn/__init__.py

daBawse167/torch-toolbox

a1c0440127bca00201dfa0d0e0dcbafb65628632

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- # Author: pistonyang@gmail.com from .loss import * from .sequential import * from .norm import * from .activation import * try: from .parallel import * except ImportError: pass

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211

5.538462

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0

0.005917

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211

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null

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null

0

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1

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6

3754988848428c18a8256ac75618b1ea8b805280

3,073

py

Python

tests/test_experiment/test_core_metrics/test_classification.py

mv1388/AIToolbox

c64ac4810a02d230ce471d86b758e82ea232a7e7

[ "MIT" ]

3

2019-10-12T12:24:09.000Z

2020-08-02T02:42:43.000Z

tests/test_experiment/test_core_metrics/test_classification.py

mv1388/aitoolbox

1060435e6cbdfd19abcb726c4080b663536b7467

[ "MIT" ]

3

2020-04-10T14:07:07.000Z

2020-04-22T19:04:38.000Z

tests/test_experiment/test_core_metrics/test_classification.py

mv1388/aitoolbox

1060435e6cbdfd19abcb726c4080b663536b7467

[ "MIT" ]

null

import unittest import numpy as np from aitoolbox.experiment.core_metrics.classification import AccuracyMetric class TestAccuracyMetric(unittest.TestCase): def test_basic(self): acc_1 = AccuracyMetric([1.] * 100, [1.] * 100) self.assertEqual(acc_1.get_metric(), 1.) self.assertEqual(acc_1.get_metric_dict(), {'Accuracy': 1.}) acc_2 = AccuracyMetric([1., 0.], [1., 1.]) self.assertEqual(acc_2.get_metric(), 0.5) self.assertEqual(acc_2.get_metric_dict(), {'Accuracy': 0.5}) def test_2d_prediction(self): acc_1 = AccuracyMetric([1.] * 100, [[0, 1]] * 100) self.assertEqual(acc_1.get_metric(), 1.) self.assertEqual(acc_1.get_metric_dict(), {'Accuracy': 1.}) acc_2 = AccuracyMetric([1.], [[0, 1]]) self.assertEqual(acc_2.get_metric(), 1.) self.assertEqual(acc_2.get_metric_dict(), {'Accuracy': 1.}) acc_3 = AccuracyMetric([1.], [[1, 0]]) self.assertEqual(acc_3.get_metric(), 0.) self.assertEqual(acc_3.get_metric_dict(), {'Accuracy': 0.}) acc_4 = AccuracyMetric([0, 1], [[0, 1], [0, 1]]) self.assertEqual(acc_4.get_metric(), 0.5) self.assertEqual(acc_4.get_metric_dict(), {'Accuracy': 0.5}) acc_5 = AccuracyMetric([0, 1], [[1, 0], [0, 1]]) self.assertEqual(acc_5.get_metric(), 1.) self.assertEqual(acc_5.get_metric_dict(), {'Accuracy': 1.}) def test_2d_vector_non_argmax(self): y_pred = np.array([0, 1, 0, 0, 1, 1]).reshape((-1, 1)) y_true = np.array([1, 0, 1, 0, 1, 1]).reshape((-1, 1)) acc_1 = AccuracyMetric(y_true, y_pred, positive_class_thresh=None) self.assertEqual(acc_1.get_metric(), 0.5) self.assertEqual(acc_1.get_metric_dict(), {'Accuracy': 0.5}) y_pred = np.array([0, 1, 0, 2, 3, 1]).reshape((-1, 1)) y_true = np.array([1, 0, 1, 2, 3, 1]).reshape((-1, 1)) acc_2 = AccuracyMetric(y_true, y_pred, positive_class_thresh=None) self.assertEqual(acc_2.get_metric(), 0.5) self.assertEqual(acc_2.get_metric_dict(), {'Accuracy': 0.5}) y_pred = np.array([0, 1, 0, 2, 3, 1]) y_true = np.array([1, 0, 1, 2, 3, 1]) acc_3 = AccuracyMetric(y_true, y_pred, positive_class_thresh=None) self.assertEqual(acc_3.get_metric(), 0.5) self.assertEqual(acc_3.get_metric_dict(), {'Accuracy': 0.5}) def test_threshold_binary_classification(self): y_pred = np.array([0.1, 0.6, 0.3, 0.2, 1.0, 0.9]).reshape((-1, 1)) y_true = np.array([1, 0, 1, 0, 1, 1]).reshape((-1, 1)) acc_1 = AccuracyMetric(y_true, y_pred, positive_class_thresh=0.5) self.assertEqual(acc_1.get_metric(), 0.5) self.assertEqual(acc_1.get_metric_dict(), {'Accuracy': 0.5}) y_pred = np.array([0.1, 0.6, 0.3, 0.2, 1.0, 0.9]) y_true = np.array([1, 0, 1, 0, 1, 1]) acc_2 = AccuracyMetric(y_true, y_pred, positive_class_thresh=0.5) self.assertEqual(acc_2.get_metric(), 0.5) self.assertEqual(acc_2.get_metric_dict(), {'Accuracy': 0.5})

44.536232

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0.609177

485

3,073

3.626804

0.101031

0.204662

0.245594

0.143263

0.843093

0.833997

0.770893

0.6805

0.636157

0.58954

0

0.083368

0.207615

3,073

68

76

45.191176

0.639014

0

0.296296

0

0.03124

0

0.444444

1

0.074074

false

0

0.055556

0

0.148148

0

null

1

0

1

0

null

0

1

0

6

375d692c957f2227130f642171b1b780714fc429

103

py

Python

celery_janitor/exceptions.py

comandrei/celery-janitor

5f1ad663958e24ccb3abceaa227a12da495b6ecb

[ "MIT" ]

null

celery_janitor/exceptions.py

comandrei/celery-janitor

5f1ad663958e24ccb3abceaa227a12da495b6ecb

[ "MIT" ]

null

celery_janitor/exceptions.py

comandrei/celery-janitor

5f1ad663958e24ccb3abceaa227a12da495b6ecb

[ "MIT" ]

null

class MissingDependency(Exception): pass class BackendNotSupportedException(Exception): pass

14.714286

46

0.786408

8

103

10.125

0.625

0.320988

0

0.15534

103

6

47

17.166667

0.931034

0

0.5

0

1

0

true

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0

0.5

0

1

0

1

null

1

0

1

0

null

0

1

0

6

376e394b98cba728d8f623c912b62ef75cc0cb66

1,831

py

Python

backend/test/queries/test_flagged_committee_contributions.py

Healthcare-NOW/poppwatch

b8545f40699ef521f4df2a2f2f4edcf3c5b1cc04

[ "MIT" ]

1

2020-09-09T23:06:36.000Z

backend/test/queries/test_flagged_committee_contributions.py

Healthcare-NOW/fec-watch

b8545f40699ef521f4df2a2f2f4edcf3c5b1cc04

[ "MIT" ]

9

2020-07-18T15:09:59.000Z

2022-02-27T00:53:47.000Z

backend/test/queries/test_flagged_committee_contributions.py

Healthcare-NOW/pop-donation-tracker

b8545f40699ef521f4df2a2f2f4edcf3c5b1cc04

[ "MIT" ]

null

from app.queries import fetch_flagged_committee_contributions from test.factories import CommitteeContributionFactory def test_no_flagged_contributions(candidate_setup): result = fetch_flagged_committee_contributions(candidate_setup.candidate) assert len(result) == 0 def test_contributions_below_200_ignored(candidate_setup): CommitteeContributionFactory( donor_committee=candidate_setup.bad_pac, recipient_committee=candidate_setup.committee_1, amount=199.99, ) result = fetch_flagged_committee_contributions(candidate_setup.candidate) assert len(result) == 0 def test_contributions_of_type_24a_ignored(candidate_setup): CommitteeContributionFactory( donor_committee=candidate_setup.bad_pac, recipient_committee=candidate_setup.committee_1, transaction_type="24A", amount=200.1, ) result = fetch_flagged_committee_contributions(candidate_setup.candidate) assert len(result) == 0 def test_contributions_across_committees_flagged(candidate_setup): CommitteeContributionFactory( donor_committee=candidate_setup.bad_pac, recipient_committee=candidate_setup.committee_1, amount=100, ) CommitteeContributionFactory( donor_committee=candidate_setup.bad_pac, candidate=candidate_setup.candidate, amount=100, ) CommitteeContributionFactory( donor_committee=candidate_setup.bad_pac, recipient_committee=candidate_setup.committee_2, amount=100, ) result = fetch_flagged_committee_contributions(candidate_setup.candidate) assert len(result) == 1 (committee, flagged_employer, amount) = result[0] assert amount == 300 assert flagged_employer == candidate_setup.bad_employer assert committee == candidate_setup.bad_pac

34.54717

77

0.766248

193

1,831

6.88601

0.207254

0.210685

0.173062

0.117381

0.7231

0.701279

0.645598

0

0.024342

0.169853

1,831

52

78

35.211538

0.85

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1

0.090909

false

0

0.045455

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0.136364

0

null

1

0

1

0

null

0

6

80aa30f94a0cd56e4a72079efcfc1eadff751e48

165

py

Python

tests/test_utils.py

HealthByRo/fdadb

e020a902ca20cebd5999bc2dbc530375ab0922fb

[ "MIT" ]

1

2020-06-11T04:44:22.000Z

tests/test_utils.py

HealthByRo/fdadb

e020a902ca20cebd5999bc2dbc530375ab0922fb

[ "MIT" ]

8

2018-11-26T09:22:14.000Z

2019-10-23T13:17:44.000Z

tests/test_utils.py

HealthByRo/fdadb

e020a902ca20cebd5999bc2dbc530375ab0922fb

[ "MIT" ]

null

from django.contrib.auth import get_user_model from rest_framework.test import APITestCase UserModel = get_user_model() class BaseTestCase(APITestCase): pass

18.333333

46

0.818182

22

165

5.909091

0.727273

0.107692

0.184615

0

0.127273

165

8

47

20.625

0.902778

0

1

0

false

0.2

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