Add new notification</button>')\",\n \"def test_check_permissions(mock_list_permissions, mock_dry_permissions):\\n view = views.ListEntryListView()\\n\\n view.check_permissions(None)\\n\\n assert mock_dry_permissions.call_count == 1\\n assert mock_list_permissions.call_count == 1\",\n \"def test_list_users_without_permissions(self):\\n self.client.force_authenticate(user=self.user)\\n\\n response = self.client.get(reverse('user-list'))\\n\\n content = {\\n 'detail': 'You do not have permission to perform this action.'\\n }\\n self.assertEqual(json.loads(response.content), content)\\n\\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)\",\n \"def test_user_can_change_not_author(self):\\n self.assertFalse(self.story.user_can_change(self.user2))\",\n \"def test_get_no_permission(self):\\n self.user.user_permissions.clear()\\n response = self._get()\\n self.assertRedirectsToLogin(response)\\n self._assert_no_change()\",\n \"def test_requester_is_no_admin(self) -> None:\\n\\n channel = self.make_request(\\n \\\"GET\\\",\\n self.url,\\n access_token=self.other_user_tok,\\n )\\n\\n self.assertEqual(403, channel.code, msg=channel.json_body)\\n self.assertEqual(Codes.FORBIDDEN, channel.json_body[\\\"errcode\\\"])\",\n \"def test_requester_is_no_admin(self) -> None:\\n\\n channel = self.make_request(\\n \\\"GET\\\",\\n self.url,\\n access_token=self.other_user_tok,\\n )\\n\\n self.assertEqual(403, channel.code, msg=channel.json_body)\\n self.assertEqual(Codes.FORBIDDEN, channel.json_body[\\\"errcode\\\"])\",\n \"def test_only_edit_perm(self):\\n self.assertStatusCode(self.url, 403)\",\n \"def test_import_selected_items(self):\\n item_id = self.response.context['items'][0].id\\n self.client.post('/importer/', {'items': [item_id, ]})\\n self.assertEquals(ModeratedObject.objects.all().count(), 1)\",\n \"def test_create_reusableitem_not_authenticated(self):\\n\\n self.client.logout()\\n\\n toptenitems = self.toptenlist_1.topTenItem.all()\\n toptenitem_1_id = toptenitems[0].id\\n\\n response = create_reusable_item_1(self, toptenitem_1_id, **reusableitem_1_data)\\n\\n # the request should fail\\n self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)\",\n \"def test_creator_group_not_enabled(self):\\r\\n self.assertTrue(has_access(self.user, CourseCreatorRole()))\",\n \"def test_page_list_unauthorised(self):\\n user = self.get_superuser()\\n title_1 = 'page'\\n title_2 = 'inner'\\n title_3 = 'page 3'\\n page = create_page(title_1, 'page.html', 'en', published=True)\\n page_2 = create_page(title_2, 'page.html', 'en', published=True, parent=page)\\n page_3 = create_page(title_3, 'page.html', 'en', published=False)\\n\\n url = reverse('api:page-list')\\n response = self.client.get(url, format='json')\\n self.assertEqual(len(response.data), 2)\\n for page in response.data:\\n self.assertIn(page.get('title'), {title_1, title_2})\",\n \"def test_user_is_global_moderator(self):\\n thread = self.create_thread()\\n user = self.create_user()\\n message = thread.first_message\\n message.status = 'pending'\\n message.save()\\n\\n self.assertFalse(message.visible_to_user(user))\\n\\n self.add_perm(user, 'can_moderate_all_messages', 'accounts', 'user')\\n\\n # To get rid of the user permission cache we should re-grab our user\\n latest_user = USER_MODEL.objects.get(pk=user.pk)\\n self.assertTrue(message.visible_to_user(latest_user))\",\n \"def test_anon_page_admin(self):\\n self._make_quick_page()\\n\\n dropdown_menu_btn = self._get_one('.dropdown-toggle')\\n show_opts_btn = self._get_one('.options-btn')\\n options_menu = self._get_one('.pageOptions')\\n\\n self.assertTrue(dropdown_menu_btn.is_displayed())\\n dropdown_menu_btn.click()\\n self.assertTrue(show_opts_btn.is_displayed())\\n\\n # Something weird related to auto-open options menu.\\n # Maybe this conditional will fix it? <:)\\n if not options_menu.is_displayed():\\n show_opts_btn.click()\\n self.assertTrue(options_menu.is_displayed())\\n\\n settings_btn = self._find_one_with_text('li.tabs-tab', 'Settings')\\n self.assertTrue(settings_btn.is_displayed())\\n settings_btn.click()\\n\\n title_input = self._get_one('input.title')\\n title_input.clear()\\n TITLE = 'A Title Most Titular'\\n title_input.send_keys(TITLE)\\n\\n # Make it published, so that our anon viewer can access it\\n published_input = self._get_one('.published')\\n published_input.click()\\n\\n # TODO: better solution. need to wait for autosave\\n # This may have to wait for request-queuing in the Backbone model.\\n import time; time.sleep(1) \\n\\n # Now pretend we're someone else\\n self.selenium.delete_all_cookies()\\n self.selenium.refresh()\\n for cookie in self.selenium.get_cookies():\\n self.assertFalse(cookie['name'].startswith('claim'))\\n\\n # make sure we aren't admins\\n self.assertFalse(self._find('.dropdown-toggle')) \\n\\n # check that we got the new title\\n self.assertEqual(self.selenium.title, TITLE)\",\n \"def testNoPermission(self):\\n self.login_user(self.user)\\n response = self.client.get(self.url, self.args)\\n self.assertEqual(response.status_code, 302)\",\n \"def test_subscriptions_anonymous(self):\\n self.go200('forum_index')\\n self.notfind('Оновити підписки')\\n self.go200('forum_subscriptions')\\n self.url(self.build_url('auth_login')+'.*')\",\n \"def test_published_story_must_be_visible_for_everyone_but_blocked(self):\\n self.assertEqual(self.ps.is_visible_for(self.au), True)\\n\\n \\\"\\\"\\\" Published story must be visible for another.\\\"\\\"\\\"\\n self.assertEqual(self.ps.is_visible_for(self.u2), True)\\n\\n \\\"\\\"\\\" Publsihed story must be visible for owner. \\\"\\\"\\\"\\n self.assertEqual(self.ps.is_visible_for(self.u1), True)\\n\\n \\\"\\\"\\\" Draft story must not be visible for a blocked user. \\\"\\\"\\\"\\n self.assertEqual(self.ds.is_visible_for(self.u3), False)\",\n \"def can_retrieve(self, user):\\n return user.has_perm('agenda.can_see')\",\n \"def set_items(self) -> None:\\n if not self.__repeat:\\n self._username: str = input(\\\"Introduzca el nombre del usuario: \\\")\\n self._ordered_items = self.get_rights()[0]\\n if not self._ordered_items:\\n if self.__option == 1:\\n self.print_error(\\\"El usuario ya tiene todos los permisos.\\\")\\n return\\n self.print_error(\\\"El usuario no tiene ningún permiso.\\\")\\n return\",\n \"def test_no_delete_button_appears_edit(self):\\n response = self.client.get(reverse('wagtailnews:edit', kwargs={\\n 'pk': self.index.pk, 'newsitem_pk': self.newsitem.pk}))\\n self.assertNotContains(response, self.url)\",\n \"def test_no_program_user_response(self, *args): # pylint: disable=unused-argument\\n with mute_signals(post_save):\\n no_permissions_profile = ProfileFactory.create()\\n self.client.force_login(no_permissions_profile.user)\\n resp_post = self.client.post(self.mail_url, data=self.request_data, format='json')\\n assert resp_post.status_code == HTTP_403_FORBIDDEN\",\n \"def raise_not_editable(self, viewer):\\n if not self.id or viewer.has_perm(\\\"bookwyrm.create_invites\\\"):\\n return\\n raise PermissionDenied()\",\n \"def test_if_forbiden_for_authenticated_permissions(self):\\r\\n res = self.client_authenticated.get(reverse(LIST_USER_URL),data={})\\r\\n self.assertEqual(res.status_code, status.HTTP_403_FORBIDDEN)\",\n \"def must_skip(self, item):\\r\\n user = c.user if c.user_is_loggedin else None\\r\\n # Meetups are accessed through /meetups.\\r\\n if hasattr(item, 'subreddit') and not item.subreddit.can_view(user) and item.subreddit.name != 'meetups':\\r\\n return True\",\n \"def _search_clicked(self, info):\\n\\n pm = get_permissions_manager()\\n assignment = self._assignment(info)\\n\\n user = pm.user_manager.matching_user(assignment.user_name)\\n if user is None:\\n return\\n\\n try:\\n user_name, role_names = pm.policy_manager.policy_storage.get_assignment(user.name)\\n except PolicyStorageError, e:\\n self._ps_error(e)\\n return\\n\\n # Update the viewed object.\\n assignment.user_name = user.name\\n assignment.description = user.description\\n assignment.roles = self._roles_to_list(role_names)\",\n \"def test_post_options_unauthorized(self):\\n url = reverse('post-list')\\n response = self.client.options(url)\\n self.assertEqual(response.status_code, status.HTTP_200_OK)\\n self.assertIn('Post List', response.content)\",\n \"def test_edit_shelf_privacy(self, *_):\\n view = views.Shelf.as_view()\\n shelf = self.local_user.shelf_set.get(identifier=\\\"to-read\\\")\\n self.assertEqual(shelf.privacy, \\\"public\\\")\\n\\n request = self.factory.post(\\n \\\"\\\",\\n {\\n \\\"privacy\\\": \\\"unlisted\\\",\\n \\\"user\\\": self.local_user.id,\\n \\\"name\\\": \\\"To Read\\\",\\n },\\n )\\n request.user = self.local_user\\n view(request, self.local_user.username, shelf.identifier)\\n shelf.refresh_from_db()\\n\\n self.assertEqual(shelf.privacy, \\\"unlisted\\\")\",\n \"def test_should_render_with_user_in_read_only(self) -> None:\\n self.request.user = User.objects.get(username='doc')\\n\\n # Turning on read-only mode prevents creation of some objects so call\\n # _create_request_context first.\\n request_context = self._create_request_context(user=self.request.user)\\n\\n settings = {\\n 'site_read_only': True,\\n }\\n\\n with override_feature_check(unified_banner_feature.feature_id, False):\\n with self.siteconfig_settings(settings):\\n if getattr(self, 'read_only_always_show', False):\\n self.assertTrue(\\n self.action.should_render(context=request_context))\\n else:\\n self.assertFalse(\\n self.action.should_render(context=request_context))\",\n \"def test_forum_display_button_manage_moderator(self):\\n user = UserFactory()\\n lti_context = LTIContextFactory(lti_consumer=user.lti_consumer)\\n forum = ForumFactory(name=\\\"Initial forum name\\\")\\n forum.lti_contexts.add(lti_context)\\n assign_perm(\\\"can_read_forum\\\", user, forum)\\n\\n # Connects user and go on the forum page\\n self.client.force_login(user)\\n response = self.client.get(f\\\"/forum/forum/{forum.name}-{forum.id}/\\\")\\n\\n # Check the CTA to manage moderators is not present\\n self.assertNotContains(\\n response,\\n (\\n '<a href=\\\"/moderators/\\\" title=\\\"Manage moderators\\\" class=\\\"dropdown-item\\\">'\\n \\\"Manage moderators</a>\\\"\\n ),\\n html=True,\\n )\\n # Assign permission can_manage_moderator\\n assign_perm(\\\"can_manage_moderator\\\", user, forum)\\n response = self.client.get(f\\\"/forum/forum/{forum.name}-{forum.id}/\\\")\\n\\n # Check the CTA to manage moderators is now present\\n self.assertContains(\\n response,\\n (\\n '<a href=\\\"/moderators/\\\" title=\\\"Manage moderators\\\" class=\\\"dropdown-item\\\">'\\n \\\"Manage moderators</a>\\\"\\n ),\\n html=True,\\n )\",\n \"def test_users_listed(self):\\n url = reverse('admin:core_user_changelist')\\n res = self.client.get(url)\\n\\n self.assertContains(res, self.user.name)\\n self.assertContains(res, self.user.plan)\",\n \"def test_post_no_permission(self):\\n self.user.user_permissions.clear()\\n response = self._post()\\n self.assertRedirectsToLogin(response)\\n self.assertEquals(self.model.objects.count(), 1)\",\n \"def test_func(self):\\n return self.request.user.has_permission(\\\"core.view_staffer\\\")\",\n \"def get_queryset(self: 'AnswerViewSet'):\\n queryset = super().get_queryset()\\n can_create = self.request.user.user_type.create_questions\\n if can_create:\\n pass\\n else:\\n raise PermissionDenied\\n return queryset\",\n \"def test_no_edit_button_appears(self):\\n response = self.client.get(reverse('wagtailnews:index', kwargs={\\n 'pk': self.index.pk}))\\n self.assertNotContains(response, self.url)\",\n \"def test_util_has_perm_or_owns_sanity(self):\\n me = User.objects.get(pk=118533)\\n my_t = Thread.objects.filter(creator=me)[0]\\n other_t = Thread.objects.exclude(creator=me)[0]\\n perm = 'forums_forum.thread_edit_forum'\\n allowed = access.has_perm_or_owns(me, perm, my_t, self.forum_1)\\n eq_(allowed, True)\\n allowed = access.has_perm_or_owns(me, perm, other_t, self.forum_1)\\n eq_(allowed, False)\",\n \"def testSelectSiteForOneSiteAssignToUser(self):\\n auth.checkIfUserIsLoggedIn(self.driver, 0, 'RUO')\\n auth.login(self.driver, config.users['SingleSite']['username'], config.users['SingleSite']['password'])\\n\\n if len(self.driver.find_elements(By.XPATH, \\\"//android.widget.TextView[@text='Select Site']\\\")) > 0:\\n raiseExceptions(\\\"This user has more than one site\\\")\\n else:\\n pass\",\n \"def test_listing_supplies_admin(self):\\n request = self.factory.get(\\n '/api/supplies')\\n force_authenticate(request, user=self.testadmin)\\n response = SupplyListView.as_view()(request)\\n # admin can browse the data\\n self.assertEqual(response.status_code, status.HTTP_200_OK)\",\n \"def test_visibility_of_not_available_3(self):\\n partner = PartnerFactory(status=Partner.NOT_AVAILABLE)\\n detail_url = partner.get_absolute_url()\\n\\n editor = EditorFactory()\\n editor.user.is_staff = True\\n editor.user.save()\\n\\n request = RequestFactory().get(detail_url)\\n request.user = editor.user\\n\\n # This should not raise Http404.\\n response = PartnersDetailView.as_view()(request, pk=partner.pk)\\n self.assertEqual(response.status_code, 200)\",\n \"def test_no_permissions(self):\\n\\n login(self.client)\\n\\n client = create_client('test')\\n client.write_access = False\\n client.save()\\n response = self.client.post('/backend/u/conc/', {'client': 'test', 'id': 3})\\n self.assertEqual(response.status_code, 200)\\n self.assertEqual('Permission not granted', response.content.decode('utf-8'))\",\n \"def get_queryset(self):\\n user_requested = self.kwargs['user']\\n self.check_object_permissions(self.request, user_requested)\\n return Poll.objects.filter(created_by__username=user_requested)\",\n \"def test_post_a_menu_for_the_day_when_meal_is_in_meal_options(self):\\n\\n\\t\\tres = self.login_admin_user()\\n\\t\\taccess_token = json.loads(res.data.decode())['access_token']\\n\\n\\t\\tresponse = self.client().post('/api/v2/menu/1',\\n\\t\\t\\theaders={\\\"x-access-token\\\": access_token},\\n\\t\\t\\tdata = json.dumps(\\n\\t\\t\\t\\tself.meal_data), content_type = 'application/json')\\n\\t\\tresult = json.loads(response.data)\\n\\t\\tself.assertEqual(result[\\\"message\\\"], \\\"Meal not available\\\")\\n\\t\\tself.assertEqual(response.status_code, 404)\",\n \"def test_unavailabe_items(self):\\n item, change, _ = give_item_and_change('crisps', .50)\\n self.assertIsNone(item)\\n self.assertEqual(change, 0.5)\",\n \"def test_04_admin_featured_apps_as_anonymous(self):\\r\\n res = self.app.get('/admin/featured', follow_redirects=True)\\r\\n assert \\\"Please sign in to access this page\\\" in res.data, res.data\",\n \"def test_no_items_in_cart(self):\\r\\n self.request.user = self.user\\r\\n context = user_has_cart_context_processor(self.request)\\r\\n self.assertFalse(context['display_shopping_cart'])\",\n \"def test_no_permission(self):\\n self.user.user_permissions.remove(*self.permissions)\\n response = self._get()\\n self.assertEqual(response.status_code, 302)\",\n \"def test_no_permission(self):\\n self.user.user_permissions.remove(*self.permissions)\\n response = self._get()\\n self.assertEqual(response.status_code, 302)\",\n \"def test_empty_private(self):\\n self.do_visible(True, None, False, is_admin=True)\",\n \"def test_user_listed(self):\\n url = reverse('admin:core_user_changelist')\\n res = self.client.get(url)\\n\\n self.assertContains(res, self.user.name)\\n self.assertContains(res, self.user.email)\",\n \"def test_xblockcompletion_get_user_no_permission(self):\\n data = {\\n 'format':'all',\\n 'course': str(self.course.id)\\n }\\n response = self.client_student.get(reverse('xblockcompletion-data:data'), data)\\n request = response.request\\n self.assertEqual(response.status_code, 200)\\n self.assertEqual(json.loads(response._container[0].decode()), {'error': 'Usuario no tiene rol para esta funcionalidad'})\",\n \"def test_users_listed(self):\\n url = reverse('admin:core_user_changelist')\\n res = self.client.get(url)\\n\\n self.assertContains(res, self.user.name)\\n self.assertContains(res, self.user.email)\",\n \"def test_add_permission(self):\\r\\n self.assertFalse(self.creator_admin.has_add_permission(self.request))\",\n \"def test_post_no_permission(self):\\n self.user.user_permissions.clear()\\n response = self._post()\\n self.assertRedirectsToLogin(response)\\n self.assertEquals(self.model.objects.count(), 0)\",\n \"def test_detail_not_contributor_forbidden(self):\\n self.login(self.user1)\\n resp = self.client.get(self.get_url(self.c2.pk))\\n self.assert403(resp)\",\n \"def allow_item(self, item, index):\\r\\n return True\",\n \"def test_no_permission(self):\\n self.assertStatusCode(self.url, 403)\",\n \"def test_no_permission(self):\\n self.assertStatusCode(self.url, 403)\",\n \"def test_no_permission(self):\\n self.assertStatusCode(self.url, 403)\",\n \"def test_no_permission(self):\\n self.assertStatusCode(self.url, 403)\",\n \"def test_users_listed(self):\\n # the url is defined in django admin documentation\\n # it generate the url for the list of user page\\n # it is good using that instead of the url in case it changes\\n url = reverse('admin:core_user_changelist')\\n res = self.client.get(url)\\n\\n self.assertContains(res, self.user.name)\\n self.assertContains(res, self.user.email)\",\n \"def test_post_no_permission(self):\\n self.user.user_permissions.clear()\\n response = self._post()\\n self.assertRedirectsToLogin(response)\\n self._assert_no_change()\",\n \"def test_staff_permission_required(self):\\r\\n with self.assertRaises(PermissionDenied):\\r\\n add_user_with_status_granted(self.user, self.user)\\r\\n\\r\\n with self.assertRaises(PermissionDenied):\\r\\n update_course_creator_group(self.user, self.user, True)\",\n \"def test_need_login_to_see_usagelist(self):\\n response = self.client.get(reverse('api_v1:usage-list'), follow=True)\\n self.assertEqual(response.status_code, 403)\",\n \"def test_list_respects_invite_only_bit(self) -> None:\\n\\n user = self.example_user(\\\"hamlet\\\")\\n self.login_user(user)\\n\\n self.common_subscribe_to_streams(user, [\\\"Saxony\\\"], invite_only=True)\\n self.common_subscribe_to_streams(user, [\\\"Normandy\\\"], invite_only=False)\\n result = self.api_get(user, \\\"/api/v1/users/me/subscriptions\\\")\\n response_dict = self.assert_json_success(result)\\n self.assertIn(\\\"subscriptions\\\", response_dict)\\n for sub in response_dict[\\\"subscriptions\\\"]:\\n if sub[\\\"name\\\"] == \\\"Normandy\\\":\\n self.assertEqual(\\n sub[\\\"invite_only\\\"], False, \\\"Normandy was mistakenly marked private\\\"\\n )\\n if sub[\\\"name\\\"] == \\\"Saxony\\\":\\n self.assertEqual(sub[\\\"invite_only\\\"], True, \\\"Saxony was not properly marked private\\\")\",\n \"def test_detail_blocked_forbidden_even_if_contributor(self):\\n self.login(self.user1)\\n resp = self.client.get(self.get_url(self.c3.pk))\\n self.assert404(resp)\",\n \"def fav_no_login(self):\\n\\n result = self.client.get(\\\"/view_favorites\\\", follow_redirects=True)\\n self.assertIn(b\\\"Password\\\", result.data)\",\n \"def test_no_unpublish_button_appears(self):\\n response = self.client.get(reverse('wagtailnews:index', kwargs={\\n 'pk': self.index.pk}))\\n self.assertNotContains(response, self.url)\",\n \"def test_unauthenticated(self):\\n self.browser.open(\\\"http://nohost/plone/full_review_list\\\")\\n self.assertTrue(\\\"Login Name\\\" in self.browser.contents)\",\n \"def test_logged_in_not_friend(self):\\n\\n # log in\\n self.make_logged_in_not_friend()\\n\\n # test show album\\n self.perm_escalate_helper(self.albumcontrol, self.showalbumrequest, self.testalbum, self.testalbum.id,\\n self.u2, album.display_album, ALBUM_PUBLIC)\\n\\n # test photo view\\n self.perm_escalate_helper_get_with_client(self.albumcontrol, self.testalbum, self.photo.id,\\n \\\"photoid\\\", \\\"show_photo\\\", ALBUM_PUBLIC)\\n\\n # test individual photo view page\\n self.perm_escalate_helper(self.albumcontrol, self.indivphotorequest, self.testalbum, self.photo.id,\\n self.u2, album.display_photo, ALBUM_PUBLIC)\",\n \"def test_add_category_with_wrong_perms(self):\\n self.client.login(username='hodor', password='hodor')\\n Perms.objects.create(user=self.user, access_level=4).save()\\n response = self.client.post('/categories/add', {}, follow=True)\\n self.assertTemplateUsed(response, 'unauthorized.html')\",\n \"def test_no_permission(self):\\n req = self.req(\\\"post\\\", \\\"/the/url\\\", data={\\\"action-doit\\\": \\\"3\\\"})\\n req.user = Mock()\\n req.user.has_perm.return_value = False\\n\\n res = self.view(\\n req,\\n decorator=self.actions(\\n self.mock_model, [\\\"doit\\\"], permission=\\\"do_things\\\")\\n )\\n\\n self.assertEqual(res.status_code, 403)\\n req.user.has_perm.assert_called_with(\\\"do_things\\\")\",\n \"def test_get_menu_when_not_set(self):\\n\\n\\t\\tres = self.login_user()\\n\\t\\taccess_token = json.loads(res.data.decode())['access_token']\\n\\n\\t\\t\\n\\t\\tresponse = self.client().get('/api/v2/menu',\\n\\t\\t\\theaders={\\\"x-access-token\\\": access_token})\\n\\t\\tself.assertEqual(response.status_code, 404)\",\n \"def test_unauthorized_user_like_field(self):\\n response = self.client.get(reverse('lessons-detail', args=(1,)))\\n self.assertEqual(response.status_code, status.HTTP_200_OK)\\n self.assertNotIn('like', response.data)\",\n \"def test_creating_supply_user(self):\\n request = self.factory.post(\\n '/api/supplies/', {'name': '3d printer 2', 'state': 'good state', 'description': 'prints 3d objects'})\\n force_authenticate(request, user=self.testuser1)\\n response = SupplyListView.as_view()(request)\\n\\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)\\n try:\\n Supply.objects.get(name='3d printer')\\n self.fail()\\n except Supply.DoesNotExist:\\n pass\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.73646075","0.61538947","0.6025898","0.5865416","0.58521277","0.5842307","0.582308","0.57966214","0.57383853","0.572046","0.5719911","0.5717424","0.5702386","0.56986713","0.56581986","0.5656366","0.56463605","0.56425077","0.56178695","0.5616088","0.56047344","0.55893606","0.55893606","0.55829257","0.55732214","0.55722594","0.5571539","0.55712104","0.5569184","0.55620253","0.5557322","0.5555343","0.55505633","0.55505633","0.55439335","0.5520346","0.55158705","0.55111355","0.55055916","0.55008614","0.54773295","0.54756343","0.5466613","0.5463163","0.54541767","0.54479885","0.54407805","0.54397506","0.5429595","0.54268557","0.54238963","0.542109","0.5415156","0.5407482","0.5402648","0.53928494","0.53854436","0.53766954","0.53649664","0.5361804","0.535615","0.5343656","0.5338797","0.5337809","0.5324698","0.5314756","0.5313145","0.53028315","0.5292705","0.529184","0.5288695","0.52852017","0.52852017","0.52841604","0.5277645","0.5275506","0.5272155","0.52616745","0.52595866","0.52586156","0.52530843","0.5250178","0.5250178","0.5250178","0.5250178","0.52431846","0.5241396","0.5234965","0.52282584","0.52203727","0.52193546","0.5217907","0.5211813","0.52054554","0.5201368","0.5198887","0.5194597","0.51942307","0.5194086","0.5190687"],"string":"[\n \"0.73646075\",\n \"0.61538947\",\n \"0.6025898\",\n \"0.5865416\",\n \"0.58521277\",\n \"0.5842307\",\n \"0.582308\",\n \"0.57966214\",\n \"0.57383853\",\n \"0.572046\",\n \"0.5719911\",\n \"0.5717424\",\n \"0.5702386\",\n \"0.56986713\",\n \"0.56581986\",\n \"0.5656366\",\n \"0.56463605\",\n \"0.56425077\",\n \"0.56178695\",\n \"0.5616088\",\n \"0.56047344\",\n \"0.55893606\",\n \"0.55893606\",\n \"0.55829257\",\n \"0.55732214\",\n \"0.55722594\",\n \"0.5571539\",\n \"0.55712104\",\n \"0.5569184\",\n \"0.55620253\",\n \"0.5557322\",\n \"0.5555343\",\n \"0.55505633\",\n \"0.55505633\",\n \"0.55439335\",\n \"0.5520346\",\n \"0.55158705\",\n \"0.55111355\",\n \"0.55055916\",\n \"0.55008614\",\n \"0.54773295\",\n \"0.54756343\",\n \"0.5466613\",\n \"0.5463163\",\n \"0.54541767\",\n \"0.54479885\",\n \"0.54407805\",\n \"0.54397506\",\n \"0.5429595\",\n \"0.54268557\",\n \"0.54238963\",\n \"0.542109\",\n \"0.5415156\",\n \"0.5407482\",\n \"0.5402648\",\n \"0.53928494\",\n \"0.53854436\",\n \"0.53766954\",\n \"0.53649664\",\n \"0.5361804\",\n \"0.535615\",\n \"0.5343656\",\n \"0.5338797\",\n \"0.5337809\",\n \"0.5324698\",\n \"0.5314756\",\n \"0.5313145\",\n \"0.53028315\",\n \"0.5292705\",\n \"0.529184\",\n \"0.5288695\",\n \"0.52852017\",\n \"0.52852017\",\n \"0.52841604\",\n \"0.5277645\",\n \"0.5275506\",\n \"0.5272155\",\n \"0.52616745\",\n \"0.52595866\",\n \"0.52586156\",\n \"0.52530843\",\n \"0.5250178\",\n \"0.5250178\",\n \"0.5250178\",\n \"0.5250178\",\n \"0.52431846\",\n \"0.5241396\",\n \"0.5234965\",\n \"0.52282584\",\n \"0.52203727\",\n \"0.52193546\",\n \"0.5217907\",\n \"0.5211813\",\n \"0.52054554\",\n \"0.5201368\",\n \"0.5198887\",\n \"0.5194597\",\n \"0.51942307\",\n \"0.5194086\",\n \"0.5190687\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.813045"},"document_rank":{"kind":"string","value":"0"}}},{"rowIdx":86763,"cells":{"query":{"kind":"string","value":"Check the user is allowed to access the news index list"},"document":{"kind":"string","value":"def test_news_index_has_perm(self):\n self.assertStatusCode(self.url, 200)"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def test_is_staff_access(self):\r\n self.check_index_and_outline(self.client)","def can_view(self, user):\r\n return True","def test_news_index_no_perm(self):\n self.assertStatusCode(self.url, 403)","def has_super_access():\n current_user = frappe.get_doc('User', frappe.session.user)\n roles = set([role.role for role in current_user.roles])\n return bool(roles & {'Administrator', 'Instructor', 'Education Manager', 'System Manager', 'Academic User'})","def CAN_MODERATE(article, user): # pylint: disable=invalid-name\r\n return _is_staff_for_article(article, user)","def can_retrieve(self, user):\n return user.has_perm('agenda.can_see')","def has_read_permission(request):\n return request.user.is_authenticated","def has_permission(self, request):\n\t\treturn request.user.is_active","def can_be_viewed_by(self,user):\n return True","def can_view_all(self):\n return self.request.user.has_permission(\"core.view_all_members\")","def is_access_allowed(self, user_id):\n ### DATABASE CODE GOES HERE\n return False","def current_user_has_access(self):\n return self.user_has_access(users.get_current_user())","def test_func(self):\n return self.request.user.has_permission(\"core.view_staffer\")","def test_permissions(self):\n taxonomy = self.get_taxonomy()\n return True if self.request.user == taxonomy.author else taxonomy.public","def check_admin():\n\tif not current_user.is_admin:\n\t\tabort(403)","def check_admin():\r\n if not current_user.is_admin:\r\n abort(403)","def has_permission(self, request):\n return request.user.is_active","def has_permission(self, request):\n return request.user.is_active","def has_permission(self, request):\n return request.user.is_active","def has_permission(self, request, view):\n return request.user.group == 'admin'","def user_has_access(self, user):\n if not user: return False\n query = db.Query(TaskListMember)\n query.filter('task_list =', self)\n query.filter('user =', user)\n return query.get()","def has_permission(self, request, view):\n if request.user.is_authenticated():\n return True\n return False","def check_admin():\n if not current_user.is_admin:\n abort(403)","def check_admin():\n if not current_user.is_admin:\n abort(403)","def test_if_forbiden_for_authenticated_permissions(self):\r\n res = self.client_authenticated.get(reverse(LIST_USER_URL),data={})\r\n self.assertEqual(res.status_code, status.HTTP_403_FORBIDDEN)","def is_visible(cls, request):\n if cls.permission_required:\n return request.user.has_perm(cls.permission_uri)\n else:\n return True","def is_admin(self, user):\n return (acl.action_allowed(self.request, 'OperatorDashboard', '*') or\n acl.action_allowed(self.request, 'Feed', 'Curate'))","def view(self, user, action, *args):\n if user.is_anonymous or user.is_client:\n return False\n\n if user.is_administrator:\n return True\n\n if user.is_manager:\n return False\n\n # TODO check groups in request maybe ? dunno\n if user.is_advisor:\n return True\n\n return self.admin_permission(user, action, *args)","def has_permission(self, request, view):\n return False","def can_display(self, course, settings, is_user_authenticated, is_user_staff): # pylint: disable=unused-argument\r\n return True","def is_user_allowed(self, user):\n return user.is_staff","def _check_access(user, course_id):\r\n if not has_access(user, 'staff', course_id):\r\n raise Http404\r\n\r\n return","def has_permission(self, request, view):\n return True","def is_accessible(self):\n return current_user.is_authenticated and current_user.role == 'admin'","def is_accessible(self):\n return current_user.is_authenticated and current_user.role == 'admin'","def can_be_viewed_by(self,user):\n\n # check whether everyone is allowed to view this. Anymous user is the only member of group\n # 'everyone' for which permissions can be set\n anonymousUser = get_anonymous_user()\n\n if anonymousUser.has_perm(\"view_ComicSiteModel\",self):\n return True\n else:\n # if not everyone has access, check whether given user has permissions\n return user.has_perm(\"view_ComicSiteModel\",self)","def can_view_post(user):\n #only students and admins may use the search, submitForm functions\n return (not bool(user.is_staff) or user.is_superuser)","def has_permission(self, request, view):\n usuario = request.user\n return str(usuario) == \"AnonymousUser\"","def allowed(self):\n may = self.request.user.may\n return (not self.__class__.__name__ in self.request.cfg.actions_excluded and\n may.write(self.pagename))","def has_access_permissions(self, request, obj, local_site=None, *args,\n **kwargs):\n return obj.is_accessible_by(request.user, local_site=local_site)","def test_chooser_has_perms_no_news(self):\n response = self.client.get(reverse('wagtailnews:choose'))\n self.assertEqual(response.status_code, 200)","def has_permission(self, request, view):\n usuario = request.user\n grupo = usuario.grupo\n return grupo.name in [\"SuperUsuario\", \"Administrador\"]","def read_allowed(self, ui, req):\n\n user = req.env.get('REMOTE_USER')\n\n deny_read = ui.configlist('web', 'deny_read', untrusted=True)\n if deny_read and (not user or ismember(ui, user, deny_read)):\n return False\n\n allow_read = ui.configlist('web', 'allow_read', untrusted=True)\n # by default, allow reading if no allow_read option has been set\n if (not allow_read) or ismember(ui, user, allow_read):\n return True\n\n return False","def check_permission(self, user, revision, review):\n # Document is not even under review\n if not revision.is_under_review():\n raise Http404()\n\n # User is not a member of the distribution list\n if review is None:\n raise Http404()","def get_queryset(self):\n user = self.request.user\n if not (user.is_authenticated and user.check_permstring(\"builders\")):\n raise Http404(\"Not staff\")\n return super(IncompleteRosterListView, self).get_queryset()","def has_object_permission(self, request, view, obj):\n return request.user.is_manager or request.user.is_staff","def CAN_ASSIGN(article, user): # pylint: disable=invalid-name\r\n return _is_staff_for_article(article, user)","def is_authorized(self, request, obj=None):\r\n if request.method == 'GET':\r\n return True\r\n else:\r\n return False","def has_permission(self, request, view):\n user = request.user\n try:\n user.user_client\n return True\n except Exception:\n return False","def has_access(self, user):\n if user.is_superuser:\n return True\n return self.user_objects(user).filter(id=self.id).exists()","def has_object_permission(self, request, view, obj):\n if request.user.is_manager or request.user.is_staff or request.user.is_superuser:\n return True\n try:\n return request.user in obj.course.instructors.all()\n except AttributeError:\n # activitylevel => has no course element\n return request.user.is_instructor","def check_permission(self, action, username, resource, perm):\n if not resource:\n return\n if resource.realm == 'blog' and resource.id:\n the_post = BlogPost(self.env, resource.id, resource.version)\n for category in the_post.category_list:\n if category in self.draft and the_post.author != username:\n # Block all access regardless\n return False","def test_need_login_to_see_readinglist(self):\n response = self.client.get(reverse('api_v1:reading-list'), follow=True)\n self.assertEqual(response.status_code, 403)","def has_permission(self, request, view):\n usuario = request.user\n return str(usuario.grupo) == \"Vendedor\"","def CAN_CHANGE_PERMISSIONS(article, user): # pylint: disable=invalid-name\r\n return _is_staff_for_article(article, user)","def can_access(user, page):\n page_groups = PageViewGroup.objects.filter(page=page)\n if user.is_anonymous():\n return page_groups.count() == 0\n else:\n groups = page_groups.filter(group__in=user.groups.all())\n return page_groups.count() == 0 or groups.count() > 0","def canDo(self,request):\n request.needAuthType(request.ADMIN)\n request.checkArgs(\"perm_name\",\"admin_username\",\"params\")\n if request.auth_name!=request[\"admin_username\"]: \n request.getAuthNameObj().canDo(\"SEE ADMIN PERMISSIONS\")\n args=[request[\"perm_name\"]]\n args.extend(request.fixList(\"params\"))\n try:\n apply(admin_main.getLoader().getAdminByName(request[\"admin_username\"]).canDo,args)\n return True\n except PermissionException:\n return False","def has_permission(self, request):\n return request.user.is_active \\\n and request.user.groups.filter(name='users').count()","def is_staff(self):\r\n return self.is_admin","def test_if_allowed_for_superusers_permissions(self):\r\n res = self.client_superuser.get(reverse(LIST_USER_URL),data={})\r\n self.assertEqual(res.status_code, status.HTTP_200_OK)","def allowed_to_preview(user):\n if (\n user.is_authenticated and\n user.is_active and\n user.is_staff\n ):\n return True\n return False","def cog_check(self, ctx):\r\n return ctx.author.guild_permissions.administrator","def cog_check(self, ctx):\r\n return ctx.author.guild_permissions.administrator","def has_view_permissions(self, obj):\n queryset = self.model.objects.filter(pk=obj.pk)\n if hasattr(queryset, 'has_view_permissions'):\n return queryset.has_view_permissions( PyFormsMiddleware.user() )\n else:\n return True","def is_permitted(self):\n\t\tfrom frappe.utils import has_common\n\n\t\tallowed = [\n\t\t\td.role for d in frappe.get_all(\"Has Role\", fields=[\"role\"], filters={\"parent\": self.name})\n\t\t]\n\n\t\tcustom_roles = get_custom_allowed_roles(\"page\", self.name)\n\t\tallowed.extend(custom_roles)\n\n\t\tif not allowed:\n\t\t\treturn True\n\n\t\troles = frappe.get_roles()\n\n\t\tif has_common(roles, allowed):\n\t\t\treturn True","def verify_privileged(self):\n community_text = self.fetch(self.base_url + \"/community\")\n return \"You must be logged in to see this page.\" not in community_text","def test_logged_user_can_access(self):\n\n utils.create_user_and_authenticate(self)\n utils.test_can_access(self, self.url)","def has_permission(self):\n\n org_id = self.kwargs.get(\"pk1\", False)\n # i'm checking the org_id is truthy here since some org user views don't\n # have `/org/pk1/` for example the initial publish landing page.\n if org_id and not self.request.user.organisations.filter(id=org_id).exists():\n return False\n\n return super().has_permission() and self.request.user.is_org_user","def cog_check(self, ctx):\n return ctx.author.guild_permissions.administrator","def has_object_permission(self, request, view, account):\n if request.user.is_authenticated():\n if request.user.is_staff:\n return True\n return account.username == request.user.username\n return False","def is_accessible_by(self, user):\n return (self.public or\n (user.is_authenticated and\n (user.is_staff or self.users.filter(pk=user.pk).exists())))","def has_permission(self, request, view):\n return has_permission(request.user, Permissions.CAN_ADVANCE_SEARCH)","def is_admin(self):\n if not self.current_user:\n return False\n else:\n return self.current_user in [\"1\"]","def read_authorize(cls, user, obj):\n if not cls._meta.model.published_where_is_examiner(user).filter(id=obj.id):\n raise PermissionDenied()","def _may_user_access_osmaxx_frontend(user):\n return user.has_perm('excerptexport.add_extractionorder')","def has_object_permission(self, request, view, obj):\n # if the user is trying to retrieve to create a item.. it will return true\n if request.method in permissions.SAFE_METHODS:\n return True\n # check if the user is trying to don't do a SAFE_METHODS, put,patch,delete and if the feed owner is doing it or another different user.. and it will return true if match or false if not\n return obj.user_profile.id == request.user.id","def is_allowed(self) -> bool:\n return self.effect == ALLOW_ACCESS","def has_permission(self, request, view):\n classroom_id = view.get_related_classroom_id()\n return models.PlaylistAccess.objects.filter(\n **self.role_filter,\n playlist__classrooms__id=classroom_id,\n user__id=request.user.id,\n ).exists()","def has_object_permission(self, request, view, user):\n return user == request.user or request.user.is_superuser","def testviewlist(self):\n rv = self.app.get('/viewcategory')\n self.assertEqual(rv.status_code, 302, \"viewlist page should not load unless signed in\")","def check_access(self):\n if not has_course_staff_privileges(self.request.user, self.course.id):\n raise PermissionDenied(\n \"To manage team membership of {}, you must be course staff.\".format(\n self.course.id\n )\n )","def has_permission(self, request, view):\n user = request.user\n if isinstance(user, TokenUser) and LTI_ROLES[INSTRUCTOR] & set(\n user.token.payload.get(\"roles\", [])\n ):\n return True\n\n return super().has_permission(request, view)","def has_permission(self, request, view):\n\n is_authenticated = request.user.is_authenticated()\n safe_request = request.method in permissions.SAFE_METHODS\n return is_authenticated and safe_request","def check_is_admin(current_user):\n return current_user['isAdmin'] == True","def has_object_permission(self, request, view, obj):\n if request.user and (request.user.is_staff or request.user.is_superuser):\n return True\n return super().has_object_permission(request, view, obj)","def has_permission(self, request, view):\n if isinstance(request.user, TokenUser):\n return True\n\n return super().has_permission(request, view)","def is_authorized(self, request, obj=None):\r\n return True","def test_moira_list_views_permission(logged_in_apiclient, mocker, url):\n mocker.patch(\"ui.views.list_members\", return_value=[])\n\n client, user = logged_in_apiclient\n client.logout()\n\n # call with anonymous user\n assert client.get(url).status_code == status.HTTP_403_FORBIDDEN\n # call with another user not on admin list\n client.force_login(user)\n assert client.get(url).status_code == status.HTTP_403_FORBIDDEN\n # call with user on admin list\n user.is_staff = True\n user.save()\n client.force_login(user)\n assert client.get(url).status_code == status.HTTP_200_OK","def test_func(self):\n member_to_view = self.get_object()\n is_self = self.request.user.rfid == member_to_view.rfid\n view_others = self.request.user.has_permission(\"core.view_member\")\n return view_others or is_self","def test_need_login_to_see_usagelist(self):\n response = self.client.get(reverse('api_v1:usage-list'), follow=True)\n self.assertEqual(response.status_code, 403)","def has_view_permission(self, request, obj=None):\n user = request.user\n if obj and type(obj) is Client:\n return obj.is_user_in_sales_contacts_of_client(user) or obj.is_user_in_support_contacts_of_client(user)\n return True","def has_object_permission(self, request, view, obj):\n\n #check if method is get i.e user only want to view\n if request.method in permissions.SAFE_METHODS:\n return True\n\n #if method is not get then will check if user wants to edit own profile\n return obj.id == request.user.ids","def has_object_permission(self , request , view , obj):\n if request.method in permissions.SAFE_METHODS:\n return True\n \n return obj.id == request.user.id","def testGetAccessAllowed(self):\n for user in (self.guest, self.contributor, self.delegate, self.owner, self.root):\n response = self.runGet(user)\n self.response_200(response)\n data = json.loads(response.content.decode(\"utf-8\"))\n self.assertEqual(len(data), 1)","def show_stats(self):\n if checkPermission('genweb.webmaster', self.context):\n return True","def hasPerm(self,request):\n request.needAuthType(request.ADMIN)\n request.checkArgs(\"perm_name\",\"admin_username\")\n if request.auth_name!=request[\"admin_username\"]: \n request.getAuthNameObj().canDo(\"SEE ADMIN PERMISSIONS\")\n return admin_main.getLoader().getAdminByName(request[\"admin_username\"]).hasPerm(request[\"perm_name\"])","def is_accessible(self):\n if login.current_user.is_authenticated:\n return login.current_user.is_admin()\n return False","def userCanAffordModuleIndex(self, user : bbUser.bbUser, index : int) -> bool:\n return self.userCanAffordItemObj(user, self.modulesStock[index].item)","def has_object_permission(self, request, view, obj):\n if request.method in permissions.SAFE_METHODS:\n return True\n if all([request.user, request.user.is_staff]):\n return True\n elif all([request.user, type(obj) == type(request.user), obj == request.user]):\n return True\n\n return True","def has_access(self):\n self._has_access = False\n\n if self.read_contact_info is not None:\n if self.read_contact_info['USERNAME'] == consts.USERNAME or \\\n consts.USERNAME in consts.REGISTEREDADMINS:\n self._has_access = True\n\n return self._has_access"],"string":"[\n \"def test_is_staff_access(self):\\r\\n self.check_index_and_outline(self.client)\",\n \"def can_view(self, user):\\r\\n return True\",\n \"def test_news_index_no_perm(self):\\n self.assertStatusCode(self.url, 403)\",\n \"def has_super_access():\\n current_user = frappe.get_doc('User', frappe.session.user)\\n roles = set([role.role for role in current_user.roles])\\n return bool(roles & {'Administrator', 'Instructor', 'Education Manager', 'System Manager', 'Academic User'})\",\n \"def CAN_MODERATE(article, user): # pylint: disable=invalid-name\\r\\n return _is_staff_for_article(article, user)\",\n \"def can_retrieve(self, user):\\n return user.has_perm('agenda.can_see')\",\n \"def has_read_permission(request):\\n return request.user.is_authenticated\",\n \"def has_permission(self, request):\\n\\t\\treturn request.user.is_active\",\n \"def can_be_viewed_by(self,user):\\n return True\",\n \"def can_view_all(self):\\n return self.request.user.has_permission(\\\"core.view_all_members\\\")\",\n \"def is_access_allowed(self, user_id):\\n ### DATABASE CODE GOES HERE\\n return False\",\n \"def current_user_has_access(self):\\n return self.user_has_access(users.get_current_user())\",\n \"def test_func(self):\\n return self.request.user.has_permission(\\\"core.view_staffer\\\")\",\n \"def test_permissions(self):\\n taxonomy = self.get_taxonomy()\\n return True if self.request.user == taxonomy.author else taxonomy.public\",\n \"def check_admin():\\n\\tif not current_user.is_admin:\\n\\t\\tabort(403)\",\n \"def check_admin():\\r\\n if not current_user.is_admin:\\r\\n abort(403)\",\n \"def has_permission(self, request):\\n return request.user.is_active\",\n \"def has_permission(self, request):\\n return request.user.is_active\",\n \"def has_permission(self, request):\\n return request.user.is_active\",\n \"def has_permission(self, request, view):\\n return request.user.group == 'admin'\",\n \"def user_has_access(self, user):\\n if not user: return False\\n query = db.Query(TaskListMember)\\n query.filter('task_list =', self)\\n query.filter('user =', user)\\n return query.get()\",\n \"def has_permission(self, request, view):\\n if request.user.is_authenticated():\\n return True\\n return False\",\n \"def check_admin():\\n if not current_user.is_admin:\\n abort(403)\",\n \"def check_admin():\\n if not current_user.is_admin:\\n abort(403)\",\n \"def test_if_forbiden_for_authenticated_permissions(self):\\r\\n res = self.client_authenticated.get(reverse(LIST_USER_URL),data={})\\r\\n self.assertEqual(res.status_code, status.HTTP_403_FORBIDDEN)\",\n \"def is_visible(cls, request):\\n if cls.permission_required:\\n return request.user.has_perm(cls.permission_uri)\\n else:\\n return True\",\n \"def is_admin(self, user):\\n return (acl.action_allowed(self.request, 'OperatorDashboard', '*') or\\n acl.action_allowed(self.request, 'Feed', 'Curate'))\",\n \"def view(self, user, action, *args):\\n if user.is_anonymous or user.is_client:\\n return False\\n\\n if user.is_administrator:\\n return True\\n\\n if user.is_manager:\\n return False\\n\\n # TODO check groups in request maybe ? dunno\\n if user.is_advisor:\\n return True\\n\\n return self.admin_permission(user, action, *args)\",\n \"def has_permission(self, request, view):\\n return False\",\n \"def can_display(self, course, settings, is_user_authenticated, is_user_staff): # pylint: disable=unused-argument\\r\\n return True\",\n \"def is_user_allowed(self, user):\\n return user.is_staff\",\n \"def _check_access(user, course_id):\\r\\n if not has_access(user, 'staff', course_id):\\r\\n raise Http404\\r\\n\\r\\n return\",\n \"def has_permission(self, request, view):\\n return True\",\n \"def is_accessible(self):\\n return current_user.is_authenticated and current_user.role == 'admin'\",\n \"def is_accessible(self):\\n return current_user.is_authenticated and current_user.role == 'admin'\",\n \"def can_be_viewed_by(self,user):\\n\\n # check whether everyone is allowed to view this. Anymous user is the only member of group\\n # 'everyone' for which permissions can be set\\n anonymousUser = get_anonymous_user()\\n\\n if anonymousUser.has_perm(\\\"view_ComicSiteModel\\\",self):\\n return True\\n else:\\n # if not everyone has access, check whether given user has permissions\\n return user.has_perm(\\\"view_ComicSiteModel\\\",self)\",\n \"def can_view_post(user):\\n #only students and admins may use the search, submitForm functions\\n return (not bool(user.is_staff) or user.is_superuser)\",\n \"def has_permission(self, request, view):\\n usuario = request.user\\n return str(usuario) == \\\"AnonymousUser\\\"\",\n \"def allowed(self):\\n may = self.request.user.may\\n return (not self.__class__.__name__ in self.request.cfg.actions_excluded and\\n may.write(self.pagename))\",\n \"def has_access_permissions(self, request, obj, local_site=None, *args,\\n **kwargs):\\n return obj.is_accessible_by(request.user, local_site=local_site)\",\n \"def test_chooser_has_perms_no_news(self):\\n response = self.client.get(reverse('wagtailnews:choose'))\\n self.assertEqual(response.status_code, 200)\",\n \"def has_permission(self, request, view):\\n usuario = request.user\\n grupo = usuario.grupo\\n return grupo.name in [\\\"SuperUsuario\\\", \\\"Administrador\\\"]\",\n \"def read_allowed(self, ui, req):\\n\\n user = req.env.get('REMOTE_USER')\\n\\n deny_read = ui.configlist('web', 'deny_read', untrusted=True)\\n if deny_read and (not user or ismember(ui, user, deny_read)):\\n return False\\n\\n allow_read = ui.configlist('web', 'allow_read', untrusted=True)\\n # by default, allow reading if no allow_read option has been set\\n if (not allow_read) or ismember(ui, user, allow_read):\\n return True\\n\\n return False\",\n \"def check_permission(self, user, revision, review):\\n # Document is not even under review\\n if not revision.is_under_review():\\n raise Http404()\\n\\n # User is not a member of the distribution list\\n if review is None:\\n raise Http404()\",\n \"def get_queryset(self):\\n user = self.request.user\\n if not (user.is_authenticated and user.check_permstring(\\\"builders\\\")):\\n raise Http404(\\\"Not staff\\\")\\n return super(IncompleteRosterListView, self).get_queryset()\",\n \"def has_object_permission(self, request, view, obj):\\n return request.user.is_manager or request.user.is_staff\",\n \"def CAN_ASSIGN(article, user): # pylint: disable=invalid-name\\r\\n return _is_staff_for_article(article, user)\",\n \"def is_authorized(self, request, obj=None):\\r\\n if request.method == 'GET':\\r\\n return True\\r\\n else:\\r\\n return False\",\n \"def has_permission(self, request, view):\\n user = request.user\\n try:\\n user.user_client\\n return True\\n except Exception:\\n return False\",\n \"def has_access(self, user):\\n if user.is_superuser:\\n return True\\n return self.user_objects(user).filter(id=self.id).exists()\",\n \"def has_object_permission(self, request, view, obj):\\n if request.user.is_manager or request.user.is_staff or request.user.is_superuser:\\n return True\\n try:\\n return request.user in obj.course.instructors.all()\\n except AttributeError:\\n # activitylevel => has no course element\\n return request.user.is_instructor\",\n \"def check_permission(self, action, username, resource, perm):\\n if not resource:\\n return\\n if resource.realm == 'blog' and resource.id:\\n the_post = BlogPost(self.env, resource.id, resource.version)\\n for category in the_post.category_list:\\n if category in self.draft and the_post.author != username:\\n # Block all access regardless\\n return False\",\n \"def test_need_login_to_see_readinglist(self):\\n response = self.client.get(reverse('api_v1:reading-list'), follow=True)\\n self.assertEqual(response.status_code, 403)\",\n \"def has_permission(self, request, view):\\n usuario = request.user\\n return str(usuario.grupo) == \\\"Vendedor\\\"\",\n \"def CAN_CHANGE_PERMISSIONS(article, user): # pylint: disable=invalid-name\\r\\n return _is_staff_for_article(article, user)\",\n \"def can_access(user, page):\\n page_groups = PageViewGroup.objects.filter(page=page)\\n if user.is_anonymous():\\n return page_groups.count() == 0\\n else:\\n groups = page_groups.filter(group__in=user.groups.all())\\n return page_groups.count() == 0 or groups.count() > 0\",\n \"def canDo(self,request):\\n request.needAuthType(request.ADMIN)\\n request.checkArgs(\\\"perm_name\\\",\\\"admin_username\\\",\\\"params\\\")\\n if request.auth_name!=request[\\\"admin_username\\\"]: \\n request.getAuthNameObj().canDo(\\\"SEE ADMIN PERMISSIONS\\\")\\n args=[request[\\\"perm_name\\\"]]\\n args.extend(request.fixList(\\\"params\\\"))\\n try:\\n apply(admin_main.getLoader().getAdminByName(request[\\\"admin_username\\\"]).canDo,args)\\n return True\\n except PermissionException:\\n return False\",\n \"def has_permission(self, request):\\n return request.user.is_active \\\\\\n and request.user.groups.filter(name='users').count()\",\n \"def is_staff(self):\\r\\n return self.is_admin\",\n \"def test_if_allowed_for_superusers_permissions(self):\\r\\n res = self.client_superuser.get(reverse(LIST_USER_URL),data={})\\r\\n self.assertEqual(res.status_code, status.HTTP_200_OK)\",\n \"def allowed_to_preview(user):\\n if (\\n user.is_authenticated and\\n user.is_active and\\n user.is_staff\\n ):\\n return True\\n return False\",\n \"def cog_check(self, ctx):\\r\\n return ctx.author.guild_permissions.administrator\",\n \"def cog_check(self, ctx):\\r\\n return ctx.author.guild_permissions.administrator\",\n \"def has_view_permissions(self, obj):\\n queryset = self.model.objects.filter(pk=obj.pk)\\n if hasattr(queryset, 'has_view_permissions'):\\n return queryset.has_view_permissions( PyFormsMiddleware.user() )\\n else:\\n return True\",\n \"def is_permitted(self):\\n\\t\\tfrom frappe.utils import has_common\\n\\n\\t\\tallowed = [\\n\\t\\t\\td.role for d in frappe.get_all(\\\"Has Role\\\", fields=[\\\"role\\\"], filters={\\\"parent\\\": self.name})\\n\\t\\t]\\n\\n\\t\\tcustom_roles = get_custom_allowed_roles(\\\"page\\\", self.name)\\n\\t\\tallowed.extend(custom_roles)\\n\\n\\t\\tif not allowed:\\n\\t\\t\\treturn True\\n\\n\\t\\troles = frappe.get_roles()\\n\\n\\t\\tif has_common(roles, allowed):\\n\\t\\t\\treturn True\",\n \"def verify_privileged(self):\\n community_text = self.fetch(self.base_url + \\\"/community\\\")\\n return \\\"You must be logged in to see this page.\\\" not in community_text\",\n \"def test_logged_user_can_access(self):\\n\\n utils.create_user_and_authenticate(self)\\n utils.test_can_access(self, self.url)\",\n \"def has_permission(self):\\n\\n org_id = self.kwargs.get(\\\"pk1\\\", False)\\n # i'm checking the org_id is truthy here since some org user views don't\\n # have `/org/pk1/` for example the initial publish landing page.\\n if org_id and not self.request.user.organisations.filter(id=org_id).exists():\\n return False\\n\\n return super().has_permission() and self.request.user.is_org_user\",\n \"def cog_check(self, ctx):\\n return ctx.author.guild_permissions.administrator\",\n \"def has_object_permission(self, request, view, account):\\n if request.user.is_authenticated():\\n if request.user.is_staff:\\n return True\\n return account.username == request.user.username\\n return False\",\n \"def is_accessible_by(self, user):\\n return (self.public or\\n (user.is_authenticated and\\n (user.is_staff or self.users.filter(pk=user.pk).exists())))\",\n \"def has_permission(self, request, view):\\n return has_permission(request.user, Permissions.CAN_ADVANCE_SEARCH)\",\n \"def is_admin(self):\\n if not self.current_user:\\n return False\\n else:\\n return self.current_user in [\\\"1\\\"]\",\n \"def read_authorize(cls, user, obj):\\n if not cls._meta.model.published_where_is_examiner(user).filter(id=obj.id):\\n raise PermissionDenied()\",\n \"def _may_user_access_osmaxx_frontend(user):\\n return user.has_perm('excerptexport.add_extractionorder')\",\n \"def has_object_permission(self, request, view, obj):\\n # if the user is trying to retrieve to create a item.. it will return true\\n if request.method in permissions.SAFE_METHODS:\\n return True\\n # check if the user is trying to don't do a SAFE_METHODS, put,patch,delete and if the feed owner is doing it or another different user.. and it will return true if match or false if not\\n return obj.user_profile.id == request.user.id\",\n \"def is_allowed(self) -> bool:\\n return self.effect == ALLOW_ACCESS\",\n \"def has_permission(self, request, view):\\n classroom_id = view.get_related_classroom_id()\\n return models.PlaylistAccess.objects.filter(\\n **self.role_filter,\\n playlist__classrooms__id=classroom_id,\\n user__id=request.user.id,\\n ).exists()\",\n \"def has_object_permission(self, request, view, user):\\n return user == request.user or request.user.is_superuser\",\n \"def testviewlist(self):\\n rv = self.app.get('/viewcategory')\\n self.assertEqual(rv.status_code, 302, \\\"viewlist page should not load unless signed in\\\")\",\n \"def check_access(self):\\n if not has_course_staff_privileges(self.request.user, self.course.id):\\n raise PermissionDenied(\\n \\\"To manage team membership of {}, you must be course staff.\\\".format(\\n self.course.id\\n )\\n )\",\n \"def has_permission(self, request, view):\\n user = request.user\\n if isinstance(user, TokenUser) and LTI_ROLES[INSTRUCTOR] & set(\\n user.token.payload.get(\\\"roles\\\", [])\\n ):\\n return True\\n\\n return super().has_permission(request, view)\",\n \"def has_permission(self, request, view):\\n\\n is_authenticated = request.user.is_authenticated()\\n safe_request = request.method in permissions.SAFE_METHODS\\n return is_authenticated and safe_request\",\n \"def check_is_admin(current_user):\\n return current_user['isAdmin'] == True\",\n \"def has_object_permission(self, request, view, obj):\\n if request.user and (request.user.is_staff or request.user.is_superuser):\\n return True\\n return super().has_object_permission(request, view, obj)\",\n \"def has_permission(self, request, view):\\n if isinstance(request.user, TokenUser):\\n return True\\n\\n return super().has_permission(request, view)\",\n \"def is_authorized(self, request, obj=None):\\r\\n return True\",\n \"def test_moira_list_views_permission(logged_in_apiclient, mocker, url):\\n mocker.patch(\\\"ui.views.list_members\\\", return_value=[])\\n\\n client, user = logged_in_apiclient\\n client.logout()\\n\\n # call with anonymous user\\n assert client.get(url).status_code == status.HTTP_403_FORBIDDEN\\n # call with another user not on admin list\\n client.force_login(user)\\n assert client.get(url).status_code == status.HTTP_403_FORBIDDEN\\n # call with user on admin list\\n user.is_staff = True\\n user.save()\\n client.force_login(user)\\n assert client.get(url).status_code == status.HTTP_200_OK\",\n \"def test_func(self):\\n member_to_view = self.get_object()\\n is_self = self.request.user.rfid == member_to_view.rfid\\n view_others = self.request.user.has_permission(\\\"core.view_member\\\")\\n return view_others or is_self\",\n \"def test_need_login_to_see_usagelist(self):\\n response = self.client.get(reverse('api_v1:usage-list'), follow=True)\\n self.assertEqual(response.status_code, 403)\",\n \"def has_view_permission(self, request, obj=None):\\n user = request.user\\n if obj and type(obj) is Client:\\n return obj.is_user_in_sales_contacts_of_client(user) or obj.is_user_in_support_contacts_of_client(user)\\n return True\",\n \"def has_object_permission(self, request, view, obj):\\n\\n #check if method is get i.e user only want to view\\n if request.method in permissions.SAFE_METHODS:\\n return True\\n\\n #if method is not get then will check if user wants to edit own profile\\n return obj.id == request.user.ids\",\n \"def has_object_permission(self , request , view , obj):\\n if request.method in permissions.SAFE_METHODS:\\n return True\\n \\n return obj.id == request.user.id\",\n \"def testGetAccessAllowed(self):\\n for user in (self.guest, self.contributor, self.delegate, self.owner, self.root):\\n response = self.runGet(user)\\n self.response_200(response)\\n data = json.loads(response.content.decode(\\\"utf-8\\\"))\\n self.assertEqual(len(data), 1)\",\n \"def show_stats(self):\\n if checkPermission('genweb.webmaster', self.context):\\n return True\",\n \"def hasPerm(self,request):\\n request.needAuthType(request.ADMIN)\\n request.checkArgs(\\\"perm_name\\\",\\\"admin_username\\\")\\n if request.auth_name!=request[\\\"admin_username\\\"]: \\n request.getAuthNameObj().canDo(\\\"SEE ADMIN PERMISSIONS\\\")\\n return admin_main.getLoader().getAdminByName(request[\\\"admin_username\\\"]).hasPerm(request[\\\"perm_name\\\"])\",\n \"def is_accessible(self):\\n if login.current_user.is_authenticated:\\n return login.current_user.is_admin()\\n return False\",\n \"def userCanAffordModuleIndex(self, user : bbUser.bbUser, index : int) -> bool:\\n return self.userCanAffordItemObj(user, self.modulesStock[index].item)\",\n \"def has_object_permission(self, request, view, obj):\\n if request.method in permissions.SAFE_METHODS:\\n return True\\n if all([request.user, request.user.is_staff]):\\n return True\\n elif all([request.user, type(obj) == type(request.user), obj == request.user]):\\n return True\\n\\n return True\",\n \"def has_access(self):\\n self._has_access = False\\n\\n if self.read_contact_info is not None:\\n if self.read_contact_info['USERNAME'] == consts.USERNAME or \\\\\\n consts.USERNAME in consts.REGISTEREDADMINS:\\n self._has_access = True\\n\\n return self._has_access\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.71869683","0.701034","0.6941104","0.6793444","0.67805856","0.67128044","0.66727525","0.66707075","0.66169983","0.6611218","0.65815014","0.65591043","0.6556533","0.6549251","0.6537417","0.6531668","0.65135354","0.65135354","0.65135354","0.64980245","0.6493334","0.64896435","0.6469131","0.6469131","0.64689624","0.6463412","0.644239","0.6436613","0.64201975","0.6419337","0.64075637","0.6380876","0.637732","0.63423526","0.63423526","0.63411164","0.63410807","0.6307526","0.62964916","0.6285626","0.62685454","0.62658113","0.6260572","0.6248481","0.6235993","0.62359506","0.62342167","0.6231578","0.6230645","0.6211206","0.62099445","0.6205252","0.6201114","0.61936796","0.6187443","0.61789286","0.61443573","0.6122734","0.61226845","0.6119115","0.6115773","0.6110523","0.6110523","0.61043656","0.6101991","0.60984427","0.6096751","0.60676193","0.6054503","0.6049939","0.6049209","0.6048214","0.60470796","0.6043229","0.60430235","0.6041644","0.60336864","0.6031334","0.60248125","0.60202867","0.6013929","0.6013401","0.60015976","0.6000379","0.5997803","0.599491","0.5994856","0.59817","0.5975038","0.5974168","0.5974075","0.5968202","0.5964772","0.5961538","0.5958247","0.5944672","0.5940784","0.5932289","0.59230363","0.5922001"],"string":"[\n \"0.71869683\",\n \"0.701034\",\n \"0.6941104\",\n \"0.6793444\",\n \"0.67805856\",\n \"0.67128044\",\n \"0.66727525\",\n \"0.66707075\",\n \"0.66169983\",\n \"0.6611218\",\n \"0.65815014\",\n \"0.65591043\",\n \"0.6556533\",\n \"0.6549251\",\n \"0.6537417\",\n \"0.6531668\",\n \"0.65135354\",\n \"0.65135354\",\n \"0.65135354\",\n \"0.64980245\",\n \"0.6493334\",\n \"0.64896435\",\n \"0.6469131\",\n \"0.6469131\",\n \"0.64689624\",\n \"0.6463412\",\n \"0.644239\",\n \"0.6436613\",\n \"0.64201975\",\n \"0.6419337\",\n \"0.64075637\",\n \"0.6380876\",\n \"0.637732\",\n \"0.63423526\",\n \"0.63423526\",\n \"0.63411164\",\n \"0.63410807\",\n \"0.6307526\",\n \"0.62964916\",\n \"0.6285626\",\n \"0.62685454\",\n \"0.62658113\",\n \"0.6260572\",\n \"0.6248481\",\n \"0.6235993\",\n \"0.62359506\",\n \"0.62342167\",\n \"0.6231578\",\n \"0.6230645\",\n \"0.6211206\",\n \"0.62099445\",\n \"0.6205252\",\n \"0.6201114\",\n \"0.61936796\",\n \"0.6187443\",\n \"0.61789286\",\n \"0.61443573\",\n \"0.6122734\",\n \"0.61226845\",\n \"0.6119115\",\n \"0.6115773\",\n \"0.6110523\",\n \"0.6110523\",\n \"0.61043656\",\n \"0.6101991\",\n \"0.60984427\",\n \"0.6096751\",\n \"0.60676193\",\n \"0.6054503\",\n \"0.6049939\",\n \"0.6049209\",\n \"0.6048214\",\n \"0.60470796\",\n \"0.6043229\",\n \"0.60430235\",\n \"0.6041644\",\n \"0.60336864\",\n \"0.6031334\",\n \"0.60248125\",\n \"0.60202867\",\n \"0.6013929\",\n \"0.6013401\",\n \"0.60015976\",\n \"0.6000379\",\n \"0.5997803\",\n \"0.599491\",\n \"0.5994856\",\n \"0.59817\",\n \"0.5975038\",\n \"0.5974168\",\n \"0.5974075\",\n \"0.5968202\",\n \"0.5964772\",\n \"0.5961538\",\n \"0.5958247\",\n \"0.5944672\",\n \"0.5940784\",\n \"0.5932289\",\n \"0.59230363\",\n \"0.5922001\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.72420925"},"document_rank":{"kind":"string","value":"0"}}},{"rowIdx":86764,"cells":{"query":{"kind":"string","value":"Check the user is denied access to the news index list"},"document":{"kind":"string","value":"def test_news_index_no_perm(self):\n self.assertStatusCode(self.url, 403)"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def get_everyone_denied(self):","def test_news_index_has_perm(self):\n self.assertStatusCode(self.url, 200)","def test_if_forbiden_for_authenticated_permissions(self):\r\n res = self.client_authenticated.get(reverse(LIST_USER_URL),data={})\r\n self.assertEqual(res.status_code, status.HTTP_403_FORBIDDEN)","def check_admin():\n\tif not current_user.is_admin:\n\t\tabort(403)","def check_admin():\r\n if not current_user.is_admin:\r\n abort(403)","def check_admin():\n if not current_user.is_admin:\n abort(403)","def check_admin():\n if not current_user.is_admin:\n abort(403)","def test_not_logged_user_cannot_access(self):\n\n utils.test_not_logged_cannot_access(self, self.url)","def test_not_logged_user_cannot_access(self):\n\n utils.test_not_logged_cannot_access(self, self.url)","def test_not_logged_user_cannot_access(self):\n\n utils.test_not_logged_cannot_access(self, self.url)","def test_not_logged_user_cannot_access(self):\n\n utils.test_not_logged_cannot_access(self, self.url)","def DeniedPermissions(self) -> _n_6_t_0:","def has_super_access():\n current_user = frappe.get_doc('User', frappe.session.user)\n roles = set([role.role for role in current_user.roles])\n return bool(roles & {'Administrator', 'Instructor', 'Education Manager', 'System Manager', 'Academic User'})","def test_admin_user_list_all_users_permission_denied(self):\n self.client.logout()\n self.client.login(\n username=self.invalid_user.username,\n password=self.invalid_user.password\n )\n response = self.client.get(CONSTS.USER_ADMIN_LIST)\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)","def get_authenticated_denied(self):","def forbidden(self):\n self.flash(self._(\"You don't have the correct permissions to access this page.\"), category=\"error\")\n # TODO: maybe check barcamp and permissions for the barcamp homepage and redirect there instead\n # TODO: maybe create a remember decorator which remember the last page in the session which is safe to redirect to.\n # the forbidden handler should delete it though\n return redirect(self.url_for(\"index\"))","def is_access_allowed(self, user_id):\n ### DATABASE CODE GOES HERE\n return False","def testGetAccessDenied(self):\n self.runGet(None, sequencer=self.hiseq2000.sodar_uuid)\n self.response_401()\n for user in (self.norole, self.unrelated_owner):\n self.runGet(user, sequencer=self.hiseq2000.sodar_uuid)\n self.response_403()","def test_not_logged_cannot_access(self):\n\n utils.test_not_logged_cannot_access(self, self.url)","def CAN_MODERATE(article, user): # pylint: disable=invalid-name\r\n return _is_staff_for_article(article, user)","def testGetAccessDenied(self):\n self.runGet(None)\n self.response_401()\n for user in (self.norole, self.unrelated_owner):\n self.runGet(user)\n self.response_403()","def can_edit_or_403(self, user):\n if user.id != self.game_master.id:\n raise PermissionDenied\n return True","def test_only_edit_perm(self):\n self.assertStatusCode(self.url, 403)","def test_is_staff_access(self):\r\n self.check_index_and_outline(self.client)","def testGetAccessDenied(self):\n self.runGet(None, sequencer=self.hiseq2000.vendor_id)\n self.response_401()\n for user in (self.norole, self.unrelated_owner):\n self.runGet(user)\n self.response_403()","def test_requester_is_no_admin(self) -> None:\n\n channel = self.make_request(\n \"GET\",\n self.url,\n access_token=self.other_user_tok,\n )\n\n self.assertEqual(403, channel.code, msg=channel.json_body)\n self.assertEqual(Codes.FORBIDDEN, channel.json_body[\"errcode\"])","def test_requester_is_no_admin(self) -> None:\n\n channel = self.make_request(\n \"GET\",\n self.url,\n access_token=self.other_user_tok,\n )\n\n self.assertEqual(403, channel.code, msg=channel.json_body)\n self.assertEqual(Codes.FORBIDDEN, channel.json_body[\"errcode\"])","def test_need_login_to_see_readinglist(self):\n response = self.client.get(reverse('api_v1:reading-list'), follow=True)\n self.assertEqual(response.status_code, 403)","def test_show_private_lists_invalid(self):\n with self.client as c:\n with c.session_transaction() as sess:\n sess[CURR_USER_KEY] = self.user2.id\n \n res = c.get(\"/users/tester1/private-lists\")\n\n self.assertEqual(res.status_code, 302)","def test_list_users_without_permissions(self):\n self.client.force_authenticate(user=self.user)\n\n response = self.client.get(reverse('user-list'))\n\n content = {\n 'detail': 'You do not have permission to perform this action.'\n }\n self.assertEqual(json.loads(response.content), content)\n\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)","def test_detail_not_contributor_forbidden(self):\n self.login(self.user1)\n resp = self.client.get(self.get_url(self.c2.pk))\n self.assert403(resp)","def test_user_not_authorized(self):\n response = self.client.post(self.url)\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)","def on_access_deny(self, handler):\n print \"User with {0} has been DENIED access.\".format(\n handler.client_address[0]\n )\n time.sleep(2) # lets annoy user if it is denied access","def denied_list(message):\n load_users(message._client.users)\n names = list_to_names(user_list.denied_list)\n message.reply('Denied user are: {}'.format(\", \".join(names)))","def test_need_login_to_see_usagelist(self):\n response = self.client.get(reverse('api_v1:usage-list'), follow=True)\n self.assertEqual(response.status_code, 403)","def test_no_permission(self):\n override_acl(self.user, {'can_use_private_threads': 0})\n\n response = self.client.get(self.api_link)\n self.assertContains(response, \"t use private threads\", status_code=403)","def test_if_not_available_for_unauthorized(self):\r\n res = self.not_authenticated.get(reverse(LIST_USER_URL),data={})\r\n self.assertEqual(res.status_code, status.HTTP_401_UNAUTHORIZED)","def denied(message):\n hf.query_users(message, hf.get_users(), \"denied\")","def test_chooser_has_perms_no_news(self):\n response = self.client.get(reverse('wagtailnews:choose'))\n self.assertEqual(response.status_code, 200)","def _check_access(user, course_id):\r\n if not has_access(user, 'staff', course_id):\r\n raise Http404\r\n\r\n return","def access_forbidden(e):\n return render_template(\"error/403.html\"), 403","def test_no_permission(self):\n override_acl(self.user, {'can_use_private_threads': 0})\n\n response = self.client.get(self.api_link)\n self.assertContains(response, \"can't use private threads\", status_code=403)","def test_10_admin_user_not_listed(self):\r\n self.register()\r\n res = self.app.get('/admin/users', follow_redirects=True)\r\n assert \"Manage Admin Users\" in res.data, res.data\r\n assert \"Current Users with Admin privileges\" not in res.data, res.data\r\n assert \"John\" not in res.data, res.data","def test_unauthorized_user_like_field(self):\n response = self.client.get(reverse('lessons-detail', args=(1,)))\n self.assertEqual(response.status_code, status.HTTP_200_OK)\n self.assertNotIn('like', response.data)","def permission_denied(request):\n\treturn render(request, '403.html', None)","def raise_not_editable(self, viewer):\n if not self.id or viewer.has_perm(\"bookwyrm.create_invites\"):\n return\n raise PermissionDenied()","def assert_cannot_view(obj):\n selenium_utils.open_url(obj.url)\n assert ui_utils.is_error_403()","def test_no_permission(self):\n self.assertStatusCode(self.url, 403)","def test_no_permission(self):\n self.assertStatusCode(self.url, 403)","def test_no_permission(self):\n self.assertStatusCode(self.url, 403)","def test_no_permission(self):\n self.assertStatusCode(self.url, 403)","def test_01_admin_index_anonymous(self):\r\n res = self.app.get(\"/admin\", follow_redirects=True)\r\n err_msg = (\"The user should not be able to access this page\"\r\n \" but the returned status is %s\" % res.data)\r\n assert \"Please sign in to access this page\" in res.data, err_msg","def read_authorize(cls, user, obj):\n if not cls._meta.model.published_where_is_examiner(user).filter(id=obj.id):\n raise PermissionDenied()","def test_only_add_perm(self):\n self.assertStatusCode(self.url, 403)","def can_view(self, user):\r\n return True","def forbidden_page(error):\n return render_template(\"access_forbidden.html\"), 403","def page_forbidden(e):\n return render_template(\"403.html\", page_title=403)","def test_detail_blocked_forbidden_even_if_contributor(self):\n self.login(self.user1)\n resp = self.client.get(self.get_url(self.c3.pk))\n self.assert404(resp)","def is_admin(self, user):\n return (acl.action_allowed(self.request, 'OperatorDashboard', '*') or\n acl.action_allowed(self.request, 'Feed', 'Curate'))","def test_not_logged_cannot_update(self):\n\n utils.test_not_logged_cannot_access(self, self.url, self.data)","def can_retrieve(self, user):\n return user.has_perm('agenda.can_see')","def allowed(self):\n may = self.request.user.may\n return (not self.__class__.__name__ in self.request.cfg.actions_excluded and\n may.write(self.pagename))","def forbidden():\n return HttpError(403)","def has_permission(self, request, view):\n return request.user.group != 'patient'","def test_unauthenticated_get(self):\n url = reverse('edit-list')\n\n response = self.client.get(url)\n self.assertEqual(403, response.status_code)\n self.assertEqual('Forbidden', response.status_text)\n self.assertTrue(\n 'credentials were not provided.' in response.data.get('detail'))","def test_access_negative(self, api):\n self.builder.add_user(api.get_user())\n r1 = api.access_user(api.get_user(), False)\n access_false = self.builder.get_access(api.get_user())\n self.builder.del_user(api.get_user())\n assert access_false == 0\n assert r1.status_code == 200","def get_queryset(self):\n user = self.request.user\n if not (user.is_authenticated and user.check_permstring(\"builders\")):\n raise Http404(\"Not staff\")\n return super(IncompleteRosterListView, self).get_queryset()","def check_permission(self, user, revision, review):\n # Document is not even under review\n if not revision.is_under_review():\n raise Http404()\n\n # User is not a member of the distribution list\n if review is None:\n raise Http404()","def test_mod_not_reported(self):\n override_acl(self.user, {'can_moderate_private_threads': 1})\n\n response = self.client.get(self.api_link)\n self.assertEqual(response.status_code, 404)","def testUpdateAccessDenied(self):\n self.runPut(None, sequencer=self.hiseq2000.sodar_uuid, data=self.post_data)\n self.response_401()\n for user in (self.guest, self.norole, self.unrelated_owner):\n self.runPut(user, sequencer=self.hiseq2000.sodar_uuid, data=self.post_data)\n self.response_403()","def test_user_can_not_enroll_to_unpublished_project(self):\n self.client.force_authenticate(self.global_user_1)\n\n # Make sure nothing is found - not enrolled.\n resp = self.client.get(self.api_project_state_not_enrolled_unpublished_url)\n self.assertEqual(resp.status_code, 404)\n\n #NOTE: Allowed!\n # # POST and make sure the user is enrolled\n # resp = self.client.post(self.api_project_state_not_enrolled_unpublished_url)\n # self.assertEqual(resp.status_code, 403)\n # resp = self.client.get(self.api_project_state_not_enrolled_unpublished_url)\n # self.assertEqual(resp.status_code, 404)","def test_listing_from_wall_when_blocked_some_users(self):","def verify_privileged(self):\n community_text = self.fetch(self.base_url + \"/community\")\n return \"You must be logged in to see this page.\" not in community_text","def test_view_disabled(self, method, url):\n response = getattr(self.client, method)(url)\n assert response.status_code == 403","def test_get_work_list_forbidden(self):\n # Attempt to get works list\n response = self.client.get(self.url)\n self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)","def test_listing_supplies_unauthenticated(self):\n request = self.factory.get('/api/supplies')\n response = SupplyListView.as_view()(request)\n # no permission\n self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)","def testPostAccessDenied(self):\n self.runPost(None, data=self.post_data)\n self.response_401()\n for user in (self.guest, self.norole, self.unrelated_owner):\n self.runPost(user, data=self.post_data)\n self.response_403()","def test_review_story_restrict_to_only_admin(self):\n self.client.post('/api/stories', headers={'token': user_token}, data=json.dumps(story1))\n res = self.client.put('/api/stories/1/review', headers={'token': user_token}, data=json.dumps({\n 'status': 'Approved'\n }))\n result = json.loads(res.data.decode())\n self.assertEqual(result['message'], 'Permission denied')\n self.assertEqual(res.status_code, 403)","def can_edit_or_403(self, user):\n if self.get_permission_level(user) < self.OWNER_PERMISSION:\n raise PermissionDenied\n return True","def test_not_logged_user_cannot_leave(self):\n\n utils.test_not_logged_cannot_access(self, self.url)","def test_no_permission(client):\n user = user_with_permissions()\n\n url = reverse(\"admin:index\")\n client.force_login(user)\n\n response = client.get(url)\n assert parse_sidemenu(response) == {\"Global\": [\"/en/admin/\"]}","def test_all_sequential_open_distribution_no_access(self, has_access):\r\n has_access.return_value = False\r\n response = views.all_sequential_open_distrib(self.request, 'test/test/test')\r\n\r\n self.assertEqual(\"{\\\"error\\\": \\\"Access Denied: User does not have access to this course\\'s data\\\"}\", response.content)","def assert_course_permission_denied(self):\r\n resp = self.client.ajax_post('/course/', self.course_data)\r\n self.assertEqual(resp.status_code, 403)","def CAN_CHANGE_PERMISSIONS(article, user): # pylint: disable=invalid-name\r\n return _is_staff_for_article(article, user)","def read_allowed(self, ui, req):\n\n user = req.env.get('REMOTE_USER')\n\n deny_read = ui.configlist('web', 'deny_read', untrusted=True)\n if deny_read and (not user or ismember(ui, user, deny_read)):\n return False\n\n allow_read = ui.configlist('web', 'allow_read', untrusted=True)\n # by default, allow reading if no allow_read option has been set\n if (not allow_read) or ismember(ui, user, allow_read):\n return True\n\n return False","def test_not_permitted(self):\r\n test_user_client, test_user = self.create_non_staff_authed_user_client()\r\n CourseEnrollment.enroll(test_user, self.course.id)\r\n response = test_user_client.get(self.orphan_url)\r\n self.assertEqual(response.status_code, 403)\r\n response = test_user_client.delete(self.orphan_url)\r\n self.assertEqual(response.status_code, 403)","def is_accessible(self):\n return current_user.is_authenticated and current_user.role == 'admin'","def is_accessible(self):\n return current_user.is_authenticated and current_user.role == 'admin'","def user_has_access(self, user):\n if not user: return False\n query = db.Query(TaskListMember)\n query.filter('task_list =', self)\n query.filter('user =', user)\n return query.get()","def check_access(self):\n if not has_course_staff_privileges(self.request.user, self.course.id):\n raise PermissionDenied(\n \"To manage team membership of {}, you must be course staff.\".format(\n self.course.id\n )\n )","def is_forbidden(self, request):\n return common.get_extension(str(request.url().toString())) in self.banned_extensions","def raise_not_editable(self, viewer):\n if viewer.has_perm(\"bookwyrm.edit_instance_settings\"):\n return\n raise PermissionDenied()","def test__user_passed_as_none(self):\r\n access.has_access(None, 'staff', 'global', None)","def has_permission(self, request, view):\n return False","def is_allowed(self) -> bool:\n return self.effect == ALLOW_ACCESS","def test_unauthenticated(self):\n self.logout_user()\n\n response = self.client.get(self.api_link)\n self.assertContains(response, \"sign in to use private threads\", status_code=403)","def test_user_not_in_group_cannot_access(self):\n\n utils.create_user_and_authenticate(self)\n expected_url = reverse('my_groups_view')\n\n utils.test_cannot_access(self, self.url, expected_url)","def test_need_login_to_see_reading_details(self):\n response = self.client.get(reverse('api_v1:reading-detail', args=[1]), follow=True)\n self.assertEqual(response.status_code, 403)","def test_returns_403_if_user_doesnt_have_PM_role(self):\n # Act\n response = self.client.get(\n self.url,\n headers={\"Authorization\": self.user_session_token},\n )\n self.assertEqual(response.status_code, 403)","def test_returns_403_if_user_doesnt_have_PM_role(self):\n # Act\n response = self.client.get(\n self.url,\n headers={\"Authorization\": self.user_session_token},\n )\n self.assertEqual(response.status_code, 403)"],"string":"[\n \"def get_everyone_denied(self):\",\n \"def test_news_index_has_perm(self):\\n self.assertStatusCode(self.url, 200)\",\n \"def test_if_forbiden_for_authenticated_permissions(self):\\r\\n res = self.client_authenticated.get(reverse(LIST_USER_URL),data={})\\r\\n self.assertEqual(res.status_code, status.HTTP_403_FORBIDDEN)\",\n \"def check_admin():\\n\\tif not current_user.is_admin:\\n\\t\\tabort(403)\",\n \"def check_admin():\\r\\n if not current_user.is_admin:\\r\\n abort(403)\",\n \"def check_admin():\\n if not current_user.is_admin:\\n abort(403)\",\n \"def check_admin():\\n if not current_user.is_admin:\\n abort(403)\",\n \"def test_not_logged_user_cannot_access(self):\\n\\n utils.test_not_logged_cannot_access(self, self.url)\",\n \"def test_not_logged_user_cannot_access(self):\\n\\n utils.test_not_logged_cannot_access(self, self.url)\",\n \"def test_not_logged_user_cannot_access(self):\\n\\n utils.test_not_logged_cannot_access(self, self.url)\",\n \"def test_not_logged_user_cannot_access(self):\\n\\n utils.test_not_logged_cannot_access(self, self.url)\",\n \"def DeniedPermissions(self) -> _n_6_t_0:\",\n \"def has_super_access():\\n current_user = frappe.get_doc('User', frappe.session.user)\\n roles = set([role.role for role in current_user.roles])\\n return bool(roles & {'Administrator', 'Instructor', 'Education Manager', 'System Manager', 'Academic User'})\",\n \"def test_admin_user_list_all_users_permission_denied(self):\\n self.client.logout()\\n self.client.login(\\n username=self.invalid_user.username,\\n password=self.invalid_user.password\\n )\\n response = self.client.get(CONSTS.USER_ADMIN_LIST)\\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)\",\n \"def get_authenticated_denied(self):\",\n \"def forbidden(self):\\n self.flash(self._(\\\"You don't have the correct permissions to access this page.\\\"), category=\\\"error\\\")\\n # TODO: maybe check barcamp and permissions for the barcamp homepage and redirect there instead\\n # TODO: maybe create a remember decorator which remember the last page in the session which is safe to redirect to.\\n # the forbidden handler should delete it though\\n return redirect(self.url_for(\\\"index\\\"))\",\n \"def is_access_allowed(self, user_id):\\n ### DATABASE CODE GOES HERE\\n return False\",\n \"def testGetAccessDenied(self):\\n self.runGet(None, sequencer=self.hiseq2000.sodar_uuid)\\n self.response_401()\\n for user in (self.norole, self.unrelated_owner):\\n self.runGet(user, sequencer=self.hiseq2000.sodar_uuid)\\n self.response_403()\",\n \"def test_not_logged_cannot_access(self):\\n\\n utils.test_not_logged_cannot_access(self, self.url)\",\n \"def CAN_MODERATE(article, user): # pylint: disable=invalid-name\\r\\n return _is_staff_for_article(article, user)\",\n \"def testGetAccessDenied(self):\\n self.runGet(None)\\n self.response_401()\\n for user in (self.norole, self.unrelated_owner):\\n self.runGet(user)\\n self.response_403()\",\n \"def can_edit_or_403(self, user):\\n if user.id != self.game_master.id:\\n raise PermissionDenied\\n return True\",\n \"def test_only_edit_perm(self):\\n self.assertStatusCode(self.url, 403)\",\n \"def test_is_staff_access(self):\\r\\n self.check_index_and_outline(self.client)\",\n \"def testGetAccessDenied(self):\\n self.runGet(None, sequencer=self.hiseq2000.vendor_id)\\n self.response_401()\\n for user in (self.norole, self.unrelated_owner):\\n self.runGet(user)\\n self.response_403()\",\n \"def test_requester_is_no_admin(self) -> None:\\n\\n channel = self.make_request(\\n \\\"GET\\\",\\n self.url,\\n access_token=self.other_user_tok,\\n )\\n\\n self.assertEqual(403, channel.code, msg=channel.json_body)\\n self.assertEqual(Codes.FORBIDDEN, channel.json_body[\\\"errcode\\\"])\",\n \"def test_requester_is_no_admin(self) -> None:\\n\\n channel = self.make_request(\\n \\\"GET\\\",\\n self.url,\\n access_token=self.other_user_tok,\\n )\\n\\n self.assertEqual(403, channel.code, msg=channel.json_body)\\n self.assertEqual(Codes.FORBIDDEN, channel.json_body[\\\"errcode\\\"])\",\n \"def test_need_login_to_see_readinglist(self):\\n response = self.client.get(reverse('api_v1:reading-list'), follow=True)\\n self.assertEqual(response.status_code, 403)\",\n \"def test_show_private_lists_invalid(self):\\n with self.client as c:\\n with c.session_transaction() as sess:\\n sess[CURR_USER_KEY] = self.user2.id\\n \\n res = c.get(\\\"/users/tester1/private-lists\\\")\\n\\n self.assertEqual(res.status_code, 302)\",\n \"def test_list_users_without_permissions(self):\\n self.client.force_authenticate(user=self.user)\\n\\n response = self.client.get(reverse('user-list'))\\n\\n content = {\\n 'detail': 'You do not have permission to perform this action.'\\n }\\n self.assertEqual(json.loads(response.content), content)\\n\\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)\",\n \"def test_detail_not_contributor_forbidden(self):\\n self.login(self.user1)\\n resp = self.client.get(self.get_url(self.c2.pk))\\n self.assert403(resp)\",\n \"def test_user_not_authorized(self):\\n response = self.client.post(self.url)\\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)\",\n \"def on_access_deny(self, handler):\\n print \\\"User with {0} has been DENIED access.\\\".format(\\n handler.client_address[0]\\n )\\n time.sleep(2) # lets annoy user if it is denied access\",\n \"def denied_list(message):\\n load_users(message._client.users)\\n names = list_to_names(user_list.denied_list)\\n message.reply('Denied user are: {}'.format(\\\", \\\".join(names)))\",\n \"def test_need_login_to_see_usagelist(self):\\n response = self.client.get(reverse('api_v1:usage-list'), follow=True)\\n self.assertEqual(response.status_code, 403)\",\n \"def test_no_permission(self):\\n override_acl(self.user, {'can_use_private_threads': 0})\\n\\n response = self.client.get(self.api_link)\\n self.assertContains(response, \\\"t use private threads\\\", status_code=403)\",\n \"def test_if_not_available_for_unauthorized(self):\\r\\n res = self.not_authenticated.get(reverse(LIST_USER_URL),data={})\\r\\n self.assertEqual(res.status_code, status.HTTP_401_UNAUTHORIZED)\",\n \"def denied(message):\\n hf.query_users(message, hf.get_users(), \\\"denied\\\")\",\n \"def test_chooser_has_perms_no_news(self):\\n response = self.client.get(reverse('wagtailnews:choose'))\\n self.assertEqual(response.status_code, 200)\",\n \"def _check_access(user, course_id):\\r\\n if not has_access(user, 'staff', course_id):\\r\\n raise Http404\\r\\n\\r\\n return\",\n \"def access_forbidden(e):\\n return render_template(\\\"error/403.html\\\"), 403\",\n \"def test_no_permission(self):\\n override_acl(self.user, {'can_use_private_threads': 0})\\n\\n response = self.client.get(self.api_link)\\n self.assertContains(response, \\\"can't use private threads\\\", status_code=403)\",\n \"def test_10_admin_user_not_listed(self):\\r\\n self.register()\\r\\n res = self.app.get('/admin/users', follow_redirects=True)\\r\\n assert \\\"Manage Admin Users\\\" in res.data, res.data\\r\\n assert \\\"Current Users with Admin privileges\\\" not in res.data, res.data\\r\\n assert \\\"John\\\" not in res.data, res.data\",\n \"def test_unauthorized_user_like_field(self):\\n response = self.client.get(reverse('lessons-detail', args=(1,)))\\n self.assertEqual(response.status_code, status.HTTP_200_OK)\\n self.assertNotIn('like', response.data)\",\n \"def permission_denied(request):\\n\\treturn render(request, '403.html', None)\",\n \"def raise_not_editable(self, viewer):\\n if not self.id or viewer.has_perm(\\\"bookwyrm.create_invites\\\"):\\n return\\n raise PermissionDenied()\",\n \"def assert_cannot_view(obj):\\n selenium_utils.open_url(obj.url)\\n assert ui_utils.is_error_403()\",\n \"def test_no_permission(self):\\n self.assertStatusCode(self.url, 403)\",\n \"def test_no_permission(self):\\n self.assertStatusCode(self.url, 403)\",\n \"def test_no_permission(self):\\n self.assertStatusCode(self.url, 403)\",\n \"def test_no_permission(self):\\n self.assertStatusCode(self.url, 403)\",\n \"def test_01_admin_index_anonymous(self):\\r\\n res = self.app.get(\\\"/admin\\\", follow_redirects=True)\\r\\n err_msg = (\\\"The user should not be able to access this page\\\"\\r\\n \\\" but the returned status is %s\\\" % res.data)\\r\\n assert \\\"Please sign in to access this page\\\" in res.data, err_msg\",\n \"def read_authorize(cls, user, obj):\\n if not cls._meta.model.published_where_is_examiner(user).filter(id=obj.id):\\n raise PermissionDenied()\",\n \"def test_only_add_perm(self):\\n self.assertStatusCode(self.url, 403)\",\n \"def can_view(self, user):\\r\\n return True\",\n \"def forbidden_page(error):\\n return render_template(\\\"access_forbidden.html\\\"), 403\",\n \"def page_forbidden(e):\\n return render_template(\\\"403.html\\\", page_title=403)\",\n \"def test_detail_blocked_forbidden_even_if_contributor(self):\\n self.login(self.user1)\\n resp = self.client.get(self.get_url(self.c3.pk))\\n self.assert404(resp)\",\n \"def is_admin(self, user):\\n return (acl.action_allowed(self.request, 'OperatorDashboard', '*') or\\n acl.action_allowed(self.request, 'Feed', 'Curate'))\",\n \"def test_not_logged_cannot_update(self):\\n\\n utils.test_not_logged_cannot_access(self, self.url, self.data)\",\n \"def can_retrieve(self, user):\\n return user.has_perm('agenda.can_see')\",\n \"def allowed(self):\\n may = self.request.user.may\\n return (not self.__class__.__name__ in self.request.cfg.actions_excluded and\\n may.write(self.pagename))\",\n \"def forbidden():\\n return HttpError(403)\",\n \"def has_permission(self, request, view):\\n return request.user.group != 'patient'\",\n \"def test_unauthenticated_get(self):\\n url = reverse('edit-list')\\n\\n response = self.client.get(url)\\n self.assertEqual(403, response.status_code)\\n self.assertEqual('Forbidden', response.status_text)\\n self.assertTrue(\\n 'credentials were not provided.' in response.data.get('detail'))\",\n \"def test_access_negative(self, api):\\n self.builder.add_user(api.get_user())\\n r1 = api.access_user(api.get_user(), False)\\n access_false = self.builder.get_access(api.get_user())\\n self.builder.del_user(api.get_user())\\n assert access_false == 0\\n assert r1.status_code == 200\",\n \"def get_queryset(self):\\n user = self.request.user\\n if not (user.is_authenticated and user.check_permstring(\\\"builders\\\")):\\n raise Http404(\\\"Not staff\\\")\\n return super(IncompleteRosterListView, self).get_queryset()\",\n \"def check_permission(self, user, revision, review):\\n # Document is not even under review\\n if not revision.is_under_review():\\n raise Http404()\\n\\n # User is not a member of the distribution list\\n if review is None:\\n raise Http404()\",\n \"def test_mod_not_reported(self):\\n override_acl(self.user, {'can_moderate_private_threads': 1})\\n\\n response = self.client.get(self.api_link)\\n self.assertEqual(response.status_code, 404)\",\n \"def testUpdateAccessDenied(self):\\n self.runPut(None, sequencer=self.hiseq2000.sodar_uuid, data=self.post_data)\\n self.response_401()\\n for user in (self.guest, self.norole, self.unrelated_owner):\\n self.runPut(user, sequencer=self.hiseq2000.sodar_uuid, data=self.post_data)\\n self.response_403()\",\n \"def test_user_can_not_enroll_to_unpublished_project(self):\\n self.client.force_authenticate(self.global_user_1)\\n\\n # Make sure nothing is found - not enrolled.\\n resp = self.client.get(self.api_project_state_not_enrolled_unpublished_url)\\n self.assertEqual(resp.status_code, 404)\\n\\n #NOTE: Allowed!\\n # # POST and make sure the user is enrolled\\n # resp = self.client.post(self.api_project_state_not_enrolled_unpublished_url)\\n # self.assertEqual(resp.status_code, 403)\\n # resp = self.client.get(self.api_project_state_not_enrolled_unpublished_url)\\n # self.assertEqual(resp.status_code, 404)\",\n \"def test_listing_from_wall_when_blocked_some_users(self):\",\n \"def verify_privileged(self):\\n community_text = self.fetch(self.base_url + \\\"/community\\\")\\n return \\\"You must be logged in to see this page.\\\" not in community_text\",\n \"def test_view_disabled(self, method, url):\\n response = getattr(self.client, method)(url)\\n assert response.status_code == 403\",\n \"def test_get_work_list_forbidden(self):\\n # Attempt to get works list\\n response = self.client.get(self.url)\\n self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)\",\n \"def test_listing_supplies_unauthenticated(self):\\n request = self.factory.get('/api/supplies')\\n response = SupplyListView.as_view()(request)\\n # no permission\\n self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)\",\n \"def testPostAccessDenied(self):\\n self.runPost(None, data=self.post_data)\\n self.response_401()\\n for user in (self.guest, self.norole, self.unrelated_owner):\\n self.runPost(user, data=self.post_data)\\n self.response_403()\",\n \"def test_review_story_restrict_to_only_admin(self):\\n self.client.post('/api/stories', headers={'token': user_token}, data=json.dumps(story1))\\n res = self.client.put('/api/stories/1/review', headers={'token': user_token}, data=json.dumps({\\n 'status': 'Approved'\\n }))\\n result = json.loads(res.data.decode())\\n self.assertEqual(result['message'], 'Permission denied')\\n self.assertEqual(res.status_code, 403)\",\n \"def can_edit_or_403(self, user):\\n if self.get_permission_level(user) < self.OWNER_PERMISSION:\\n raise PermissionDenied\\n return True\",\n \"def test_not_logged_user_cannot_leave(self):\\n\\n utils.test_not_logged_cannot_access(self, self.url)\",\n \"def test_no_permission(client):\\n user = user_with_permissions()\\n\\n url = reverse(\\\"admin:index\\\")\\n client.force_login(user)\\n\\n response = client.get(url)\\n assert parse_sidemenu(response) == {\\\"Global\\\": [\\\"/en/admin/\\\"]}\",\n \"def test_all_sequential_open_distribution_no_access(self, has_access):\\r\\n has_access.return_value = False\\r\\n response = views.all_sequential_open_distrib(self.request, 'test/test/test')\\r\\n\\r\\n self.assertEqual(\\\"{\\\\\\\"error\\\\\\\": \\\\\\\"Access Denied: User does not have access to this course\\\\'s data\\\\\\\"}\\\", response.content)\",\n \"def assert_course_permission_denied(self):\\r\\n resp = self.client.ajax_post('/course/', self.course_data)\\r\\n self.assertEqual(resp.status_code, 403)\",\n \"def CAN_CHANGE_PERMISSIONS(article, user): # pylint: disable=invalid-name\\r\\n return _is_staff_for_article(article, user)\",\n \"def read_allowed(self, ui, req):\\n\\n user = req.env.get('REMOTE_USER')\\n\\n deny_read = ui.configlist('web', 'deny_read', untrusted=True)\\n if deny_read and (not user or ismember(ui, user, deny_read)):\\n return False\\n\\n allow_read = ui.configlist('web', 'allow_read', untrusted=True)\\n # by default, allow reading if no allow_read option has been set\\n if (not allow_read) or ismember(ui, user, allow_read):\\n return True\\n\\n return False\",\n \"def test_not_permitted(self):\\r\\n test_user_client, test_user = self.create_non_staff_authed_user_client()\\r\\n CourseEnrollment.enroll(test_user, self.course.id)\\r\\n response = test_user_client.get(self.orphan_url)\\r\\n self.assertEqual(response.status_code, 403)\\r\\n response = test_user_client.delete(self.orphan_url)\\r\\n self.assertEqual(response.status_code, 403)\",\n \"def is_accessible(self):\\n return current_user.is_authenticated and current_user.role == 'admin'\",\n \"def is_accessible(self):\\n return current_user.is_authenticated and current_user.role == 'admin'\",\n \"def user_has_access(self, user):\\n if not user: return False\\n query = db.Query(TaskListMember)\\n query.filter('task_list =', self)\\n query.filter('user =', user)\\n return query.get()\",\n \"def check_access(self):\\n if not has_course_staff_privileges(self.request.user, self.course.id):\\n raise PermissionDenied(\\n \\\"To manage team membership of {}, you must be course staff.\\\".format(\\n self.course.id\\n )\\n )\",\n \"def is_forbidden(self, request):\\n return common.get_extension(str(request.url().toString())) in self.banned_extensions\",\n \"def raise_not_editable(self, viewer):\\n if viewer.has_perm(\\\"bookwyrm.edit_instance_settings\\\"):\\n return\\n raise PermissionDenied()\",\n \"def test__user_passed_as_none(self):\\r\\n access.has_access(None, 'staff', 'global', None)\",\n \"def has_permission(self, request, view):\\n return False\",\n \"def is_allowed(self) -> bool:\\n return self.effect == ALLOW_ACCESS\",\n \"def test_unauthenticated(self):\\n self.logout_user()\\n\\n response = self.client.get(self.api_link)\\n self.assertContains(response, \\\"sign in to use private threads\\\", status_code=403)\",\n \"def test_user_not_in_group_cannot_access(self):\\n\\n utils.create_user_and_authenticate(self)\\n expected_url = reverse('my_groups_view')\\n\\n utils.test_cannot_access(self, self.url, expected_url)\",\n \"def test_need_login_to_see_reading_details(self):\\n response = self.client.get(reverse('api_v1:reading-detail', args=[1]), follow=True)\\n self.assertEqual(response.status_code, 403)\",\n \"def test_returns_403_if_user_doesnt_have_PM_role(self):\\n # Act\\n response = self.client.get(\\n self.url,\\n headers={\\\"Authorization\\\": self.user_session_token},\\n )\\n self.assertEqual(response.status_code, 403)\",\n \"def test_returns_403_if_user_doesnt_have_PM_role(self):\\n # Act\\n response = self.client.get(\\n self.url,\\n headers={\\\"Authorization\\\": self.user_session_token},\\n )\\n self.assertEqual(response.status_code, 403)\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.6909648","0.6811918","0.66676253","0.661869","0.6616912","0.6532068","0.6532068","0.6508571","0.6508571","0.6508571","0.6508571","0.6493177","0.6466608","0.64571303","0.6441584","0.64142835","0.6403795","0.63929635","0.6385503","0.63569266","0.6335534","0.6333981","0.6324344","0.63169587","0.6300392","0.62767154","0.62767154","0.62616277","0.62613535","0.6234679","0.6223872","0.6218649","0.6208112","0.6185989","0.61753416","0.61630666","0.6160353","0.61502004","0.61493933","0.61451274","0.61448663","0.61101717","0.6109741","0.6107676","0.6091122","0.6084197","0.60769176","0.6076117","0.6076117","0.6076117","0.6076117","0.607202","0.6070583","0.606185","0.604568","0.6041779","0.6035074","0.6031619","0.60266817","0.6007005","0.5991968","0.5986902","0.59791356","0.59766376","0.5968823","0.5965733","0.59610194","0.5938088","0.59306824","0.59143156","0.590316","0.5901174","0.5896174","0.58960146","0.5894895","0.5892946","0.58886546","0.58805984","0.5878292","0.5875812","0.58728456","0.5859017","0.5846828","0.5845868","0.584049","0.58365375","0.58330613","0.58330613","0.5830758","0.58300906","0.58290666","0.5828254","0.5810721","0.58085775","0.58083576","0.5794585","0.5788918","0.5783205","0.5782507","0.5782507"],"string":"[\n \"0.6909648\",\n \"0.6811918\",\n \"0.66676253\",\n \"0.661869\",\n \"0.6616912\",\n \"0.6532068\",\n \"0.6532068\",\n \"0.6508571\",\n \"0.6508571\",\n \"0.6508571\",\n \"0.6508571\",\n \"0.6493177\",\n \"0.6466608\",\n \"0.64571303\",\n \"0.6441584\",\n \"0.64142835\",\n \"0.6403795\",\n \"0.63929635\",\n \"0.6385503\",\n \"0.63569266\",\n \"0.6335534\",\n \"0.6333981\",\n \"0.6324344\",\n \"0.63169587\",\n \"0.6300392\",\n \"0.62767154\",\n \"0.62767154\",\n \"0.62616277\",\n \"0.62613535\",\n \"0.6234679\",\n \"0.6223872\",\n \"0.6218649\",\n \"0.6208112\",\n \"0.6185989\",\n \"0.61753416\",\n \"0.61630666\",\n \"0.6160353\",\n \"0.61502004\",\n \"0.61493933\",\n \"0.61451274\",\n \"0.61448663\",\n \"0.61101717\",\n \"0.6109741\",\n \"0.6107676\",\n \"0.6091122\",\n \"0.6084197\",\n \"0.60769176\",\n \"0.6076117\",\n \"0.6076117\",\n \"0.6076117\",\n \"0.6076117\",\n \"0.607202\",\n \"0.6070583\",\n \"0.606185\",\n \"0.604568\",\n \"0.6041779\",\n \"0.6035074\",\n \"0.6031619\",\n \"0.60266817\",\n \"0.6007005\",\n \"0.5991968\",\n \"0.5986902\",\n \"0.59791356\",\n \"0.59766376\",\n \"0.5968823\",\n \"0.5965733\",\n \"0.59610194\",\n \"0.5938088\",\n \"0.59306824\",\n \"0.59143156\",\n \"0.590316\",\n \"0.5901174\",\n \"0.5896174\",\n \"0.58960146\",\n \"0.5894895\",\n \"0.5892946\",\n \"0.58886546\",\n \"0.58805984\",\n \"0.5878292\",\n \"0.5875812\",\n \"0.58728456\",\n \"0.5859017\",\n \"0.5846828\",\n \"0.5845868\",\n \"0.584049\",\n \"0.58365375\",\n \"0.58330613\",\n \"0.58330613\",\n \"0.5830758\",\n \"0.58300906\",\n \"0.58290666\",\n \"0.5828254\",\n \"0.5810721\",\n \"0.58085775\",\n \"0.58083576\",\n \"0.5794585\",\n \"0.5788918\",\n \"0.5783205\",\n \"0.5782507\",\n \"0.5782507\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.75531065"},"document_rank":{"kind":"string","value":"0"}}},{"rowIdx":86765,"cells":{"query":{"kind":"string","value":"Test users can create NewsItems"},"document":{"kind":"string","value":"def test_has_permission(self):\n self.assertStatusCode(self.url, 200)"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def test_news_create(self):\n news = News.save_news('www.testing.com', 'testing', 'testing is painful but important', datetime.utcnow(), 'www.sometestimg.url' )\n news_created = News.query.get(news.url)\n\n all_news = News.query.all()\n\n self.assertEqual(len(all_news), 1)\n self.assertEqual(news, news_created)","def test_create_reusableitem_authenticated(self):\n\n self.client.force_authenticate(user=self.user_1)\n\n toptenitems = self.toptenlist_1.topTenItem.all()\n toptenitem_1_id = toptenitems[0].id\n\n response = create_reusable_item_1(self, toptenitem_1_id, **reusableitem_1_data)\n\n newreusableitem = self.reusableitem_1\n\n self.assertEqual(response.status_code, status.HTTP_200_OK)\n self.assertEqual(ReusableItem.objects.count(), 1)\n\n # the new Reusable Item has the correct properties\n self.assertEqual(newreusableitem.name, reusableitem_1_data['name'])\n self.assertEqual(newreusableitem.definition, reusableitem_1_data['reusableItemDefinition'])\n self.assertEqual(newreusableitem.link, reusableitem_1_data['reusableItemLink'])\n self.assertEqual(newreusableitem.is_public, False)","def create_item(self, user: User, **kwargs) -> None:","def test_create_methods(self):\n self.assertFalse('articles' in self.site.__dict__)\n self.site.articles()\n self.assertTrue('articles' in self.site.__dict__)","def test_publish(self):\n spiderman = User.objects.create(username=\"spiderman\", password=\"mary_jane\")\n BlogEntry.objects.create(title=\"Spam Blog\", text=\"This is BlogSpam\", created_by=spiderman)","def test_post_creation_regular_user(self):\n url = reverse('post-list')\n user_url = reverse('user-detail', kwargs={'pk': self.superuser.id})\n title = 'Test Title'\n body = 'Test Body'\n self.client.force_authenticate(user=self.user)\n response = self.client.post(url, {'title': title, 'body': body, 'user': user_url}, format='json')\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)","def test_create_post(self):\n self.test_category = Category.objects.create(name='django')\n self.testuser1 = User.objects.create_superuser(\n username='test_user1', password='123456789')\n # self.testuser1.is_staff = True\n\n self.client.login(username=self.testuser1.username,\n password='123456789')\n\n data = {\"title\": \"new\", \"author\": 1,\n \"excerpt\": \"new\", \"content\": \"new\"}\n url = reverse('blog_api:listcreate')\n response = self.client.post(url, data, format='json')\n self.assertEqual(response.status_code, status.HTTP_201_CREATED)","def test_post_create_post_as_user_logged_in(self):\n\n login = self.client.login(username='testuser_normal', password='password12345')\n\n if login:\n\n new_title = \"this is a new title for create\"\n new_content = \"this is new content for create by nicholas herriot\"\n new_published_date = \"2017-01-01\"\n data = {'title': new_title, 'content': new_content, 'publish': new_published_date}\n url = reverse('blogs:create')\n response = self.client.post(url, data)\n\n # There should not be a new blog create with this title, so check that it does not exist\n with self.assertRaises(Post.DoesNotExist):\n new_blog = Post.objects.get(title=new_title)\n self.assertEqual(response.status_code, 403)\n self.client.logout()\n else:\n # TODO Make this dynamic rather than hard coded text string\n self.fail('Login Failed for testuser_staff')","def test_create(self):\n urls = [reverse('api:user-list')]\n data = {\n \"username\": \"newuser\",\n \"email\": \"newuser@example.com\",\n \"password\": \"password\"\n }\n access = {\n \"forbidden\": [self.anonymous_client, self.readonly_client, self.custodian_1_client],\n \"allowed\": [self.admin_client]\n }\n for client in access['forbidden']:\n for url in urls:\n self.assertIn(\n client.post(url, data, format='json').status_code,\n [status.HTTP_401_UNAUTHORIZED, status.HTTP_403_FORBIDDEN]\n )\n\n for client in access['allowed']:\n for url in urls:\n self.assertEqual(\n client.post(url, data, format='json').status_code,\n status.HTTP_201_CREATED\n )","def test_alert_create_for_site_members(self):\n pass","def test_post_creation_admin(self):\n url = reverse('post-list')\n user_url = reverse('user-detail', kwargs={'pk': self.superuser.id})\n title = 'Test Title'\n body = 'Test Body'\n self.client.force_authenticate(user=self.superuser)\n response = self.client.post(url, {'title': title, 'body': body, 'user': user_url}, format='json')\n self.assertEqual(response.status_code, status.HTTP_201_CREATED)\n self.assertIn(title, response.content)\n self.assertIn(body, response.content)\n self.assertIn(user_url, response.content)","def test_create_reusableitem_not_authenticated(self):\n\n self.client.logout()\n\n toptenitems = self.toptenlist_1.topTenItem.all()\n toptenitem_1_id = toptenitems[0].id\n\n response = create_reusable_item_1(self, toptenitem_1_id, **reusableitem_1_data)\n\n # the request should fail\n self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)","def test_create_activity(self):\n pass","def setUp(self):\n self.url = reverse(\"learning_logs:topics\")\n self.client = Client()\n self.user = User.objects.create_user(\n username=\"test\", email=\"test@email.com\", password=\"test\"\n )\n Topic.objects.create(user=self.user, text=\"Test1\", public=True)\n Topic.objects.create(user=self.user, text=\"Test2\", public=True)\n Topic.objects.create(user=self.user, text=\"Test3\", public=True)\n Topic.objects.create(user=self.user, text=\"Test4\", public=False)","def test_create(self):\n pass","def test_feed_item_creation(self):\n title = 'title'\n link = 'link'\n description = 'description'\n item = FeedItem(title, link, description)\n assert isinstance(item, FeedItem)\n assert item.title == title\n assert item.link == link\n assert item.description == description","def test_create_item(self):\n item = self.item\n\n self.assertTrue(isinstance(item, Item))\n self.assertEqual(item.name, \"Test Item\")","def test_post_create_post_as_admin_user(self):\n login = self.client.login(username='testuser_admin', password='password12345')\n\n if login:\n\n new_title = \"this is a new title for create\"\n new_content = \"this is new content for create by nicholas herriot\"\n new_published_date = datetime.date(2018, 3, 3)\n data = {'title': new_title, 'content': new_content, 'publish': new_published_date}\n\n url = reverse('blogs:create')\n response = self.client.post(url, data)\n\n # There should now be a new blog create with this title and content, so check that it does exist\n new_blog = Post.objects.get(title='this is a new title for create')\n\n self.assertEqual(new_blog.title, new_title)\n self.assertEqual(new_blog.content, new_content)\n # TODO Get the publish date check working correclty\n # self.assertEqual(new_blog.publish, new_published_date)\n\n self.assertEqual(response.status_code, 302)\n self.client.logout()\n else:\n # TODO Make this dynamic rather than hard coded text string\n self.fail('Login Failed for testuser_staff')","def test_post_create_post_as_anonymous_user(self):\n\n url = reverse('blogs:create')\n new_title = \"this is a new title for create\"\n new_content = \"this is new content for create by nicholas herriot\"\n new_published_date = \"2017-01-01\"\n data = {'title': new_title, 'content': new_content, 'publish': new_published_date}\n response = self.client.post(url, data)\n\n # There should not be a new blog create with this title, so check that it does not exist\n with self.assertRaises(Post.DoesNotExist):\n new_blog = Post.objects.get(title=new_title)\n self.assertEqual(response.status_code, 403)","def test_create_not_admin(self):\n self.assertEqual(Product.objects.count(), 2)\n payload = {\n 'name': 'New product',\n 'category': self.category_1.id,\n 'sku': '11111111',\n 'description': 'New product description',\n 'price': 39.99\n }\n\n token = Token.objects.create(user=self.user_1)\n headers = {\n 'HTTP_AUTHORIZATION': 'Token ' + str(token)\n }\n expected = {'detail': 'You do not have permission to perform this action.'}\n response = self.client.post(\n '/api/products/', data=payload,\n content_type='application/json', **headers)\n self.assertEqual(response.status_code, 403)\n self.assertEqual(response.json(), expected)\n self.assertEqual(Product.objects.count(), 2)","def setUp(self):\n subj = create_subject()\n subj.save()\n post = Post.create(subject=subj, title=\"123ABC\", body=\"123ABC Body\")\n post.save()\n comment = Comment.create(post=post, body=\"987XYZ\")\n comment.save()\n # Create and login user\n self.user = User.objects.create_user(username='testuser', password='12345')\n login = self.client.login(username='testuser', password='12345')","def test_create_reusableitem_not_toptenlist_owner(self):\n\n self.client.logout()\n\n self.client.force_authenticate(user=self.user_2)\n\n toptenitems = self.toptenlist_1.topTenItem.all()\n toptenitem_1_id = toptenitems[0].id\n\n response = create_reusable_item_1(self, toptenitem_1_id, **reusableitem_1_data)\n\n # the user cannot see the Top Ten Item because they did not create it\n self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)","def test_chooser_has_perms_no_news(self):\n response = self.client.get(reverse('wagtailnews:choose'))\n self.assertEqual(response.status_code, 200)","def test_creating_shopping_item(create_shopping_item, create_user):\n owner = create_user\n shopping_item = create_shopping_item\n assert shopping_item.owner == owner","def test_createUser_single(self):\n #TODO: this and other tests","def test_post_creation_unauthorized(self):\n url = reverse('post-list')\n user_url = reverse('user-detail', kwargs={'pk': self.superuser.id})\n title = 'Test Title'\n body = 'Test Body'\n response = self.client.post(url, {'title': title, 'body': body, 'user': user_url}, format='json')\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)","def test_items_create_no_user(patch_mongo):\n item = {\n \"content\": \"lorem ipsum\",\n \"priority\": \"high\",\n \"status\": \"backlog\",\n \"users\": [\"John\"],\n }\n\n response = client.post(\"/item\", json=item)\n assert response.status_code == status.HTTP_400_BAD_REQUEST","def test_user_create_list(self):\n c = Client()\n c.login(username= 'testuser', password = 'password')\n c.post('/inventory/list/add/', {'name': 'testname'})\n\n self.assertEqual(List.objects.get(name = 'testname'), List.objects.get(users__username = 'testuser'))","def test_users_post(self):\n pass","def test_users_post(self):\n pass","def test_get_create_post_as_staff_user_and_check_main_title_description(self):\n\n login = self.client.login(username='testuser_staff', password='password12345')\n\n if login:\n url = reverse('blogs:create')\n response = self.client.get(url)\n\n self.assertEqual(response.status_code, 200)\n self.assertTemplateUsed(response, 'create.html')\n self.assertIn(self.main_title, str(response.content))\n self.assertIn(self.description1, str(response.content))\n self.assertIn(self.description2, str(response.content))\n self.client.logout()\n else:\n # TODO Make this dynamic rather than hard coded text string\n self.fail('Login Failed for testuser_staff')","def test_create(self, client):\n count = get_user_model().objects.count()\n data = factory.build(dict, FACTORY_CLASS=UserFactory)\n url = reverse('users:create')\n response = client.post(url, data)\n assert response.status_code == 302\n\n user = get_user_model().objects.last()\n assert user.username == data['username']\n assert user.birthday == datetime.datetime.strptime(data['birthday'], '%Y-%m-%d').date()\n assert get_user_model().objects.count() == count + 1","def test_api_video_create_staff_or_user(self):\n for user in [factories.UserFactory(), factories.UserFactory(is_staff=True)]:\n self.client.login(username=user.username, password=\"test\")\n response = self.client.post(\"/api/videos/\")\n self.assertEqual(response.status_code, 401)\n self.assertFalse(models.Video.objects.exists())","def test_post_create_post_as_staff_user(self):\n login = self.client.login(username='testuser_staff', password='password12345')\n\n if login:\n\n new_title = \"this is a new title for create\"\n new_content = \"this is new content for create by nicholas herriot\"\n new_published_date = datetime.date(2018, 3, 3)\n data = {'title': new_title, 'content': new_content, 'publish': new_published_date}\n\n url = reverse('blogs:create')\n response = self.client.post(url, data)\n\n # There should now be a new blog create with this title and content, so check that it does exist\n new_blog = Post.objects.get(title='this is a new title for create')\n # print(\"*** New blog created as a slug of: {}\".format(new_blog.slug))\n # print(\"*** New blog created as a titel of: {}\".format(new_blog.title))\n # print(\"*** New blog created as content of: {}\".format(new_blog.content))\n # print(\"*** New blog created as a published date of: {}\".format(new_blog.publish))\n\n self.assertEqual(new_blog.title, new_title)\n self.assertEqual(new_blog.content, new_content)\n # TODO Get the publish date check working correctly\n # self.assertEqual(new_blog.publish, new_published_date)\n\n self.assertEqual(response.status_code, 302)\n self.client.logout()\n else:\n # TODO Make this dynamic rather than hard coded text string\n self.fail('Login Failed for testuser_staff')","def test_create(self):\n self.client.force_authenticate(user=self.admin)\n\n data = {\n 'retreat': reverse(\n 'retreat:retreat-detail', args=[self.retreat.id]\n ),\n 'user': reverse('user-detail', args=[self.user2.id]),\n }\n\n response = self.client.post(\n reverse(\n 'retreat:waitqueuenotification-list',\n ),\n data,\n format='json',\n )\n\n self.assertEqual(\n response.status_code,\n status.HTTP_405_METHOD_NOT_ALLOWED\n )","def test_feed_creation(self):\n items = []\n feed = Feed(items)\n assert isinstance(feed, Feed)\n assert items == feed.items","def test_add_maually(self):\n self.site.articles = 'foo'\n self.assertEqual(self.site.articles(), 'foo')","def test_add_item_using_post(self):\n pass","def test_post_users_post(self):\n pass","def test_items_create_empty_user(patch_mongo):\n item = {\n \"content\": \"lorem ipsum\",\n \"priority\": \"high\",\n \"status\": \"backlog\",\n \"users\": [],\n }\n\n response = client.post(\"/item\", json=item)\n assert response.status_code == status.HTTP_400_BAD_REQUEST","def setUp(self):\n self.new_article = Article(\"abc-news\", \"ABC News\", \"Your trusted source for breaking news, analysis, exclusive interviews, headlines, and videos at ABCNews.com.\",\"https://abcnews.go.com\", \"general\", \"en\", \"us\")","def test_create_with_permissions(self):\n permissions = Permission.objects.filter(name__in=('Can add course mode', 'Can change course mode'))\n for permission in permissions:\n self.user.user_permissions.add(permission)\n\n self.assert_can_create_course()","def test_post_creation_success(self):\n url = reverse('post-list', args=[self.topic1.url_name])\n payload = {\n 'author': self.user1.id,\n 'title': 'Creating a post',\n 'content': 'Rich content 4',\n }\n self.client.credentials(\n HTTP_AUTHORIZATION = 'Token ' + self.user1.auth_token.key\n )\n response = self.client.post(url, payload)\n\n self.assertEqual(response.status_code, status.HTTP_201_CREATED)\n new_post = Post.objects.filter(\n author=self.user1,\n title=payload.get('title'),\n content=payload.get('content'),\n topic=self.topic1\n )\n self.assertTrue(new_post.exists())","def setUp(self):\n\n self.user_data = {\n \"username\": \"test_user\",\n \"email\": \"test_user@mailinator.com\",\n \"password\": \"P@ssW0rd!\"\n }\n\n self.user = User.objects.create_user(**self.user_data)\n self.article_data = {\n 'title': 'the quick brown fox',\n 'body': 'this article is nice',\n 'description': 'this is a description',\n 'author': self.user\n }\n self.article = Articles.objects.create(**self.article_data)\n\n self.bookmark_data = {\n \"profile\": self.user.profile,\n \"article\": self.article\n }","def test_user_creation(self):\r\n \r\n self.assertIsInstance(self.user, User)","def test_create_reusableitem_not_verified(self):\n\n email_address = EmailAddress.objects.get(user_id=self.user_1.id)\n email_address.verified = False\n email_address.save()\n\n self.client.force_authenticate(user=self.user_1)\n\n toptenitems = self.toptenlist_1.topTenItem.all()\n toptenitem_1_id = toptenitems[0].id\n\n response = create_reusable_item_1(self, toptenitem_1_id, **reusableitem_1_data)\n\n # the user can see the Top Ten Item because they created it\n # but cannot change it because their email address is not verified\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)","def test_user_creation(self):\n self.assertTrue(User.objects.exists())","def test_registered_user_can_create_project(self):\n user = self._create_user({\"username\":\"user2\",\"email\":\"ab@cd.com\"})\n testproject = self._create_comicsite_in_admin(user,\"user1project\") \n testpage1 = create_page_in_admin(testproject,\"testpage1\")\n testpage2 = create_page_in_admin(testproject,\"testpage2\")\n \n self._test_page_can_be_viewed(user,testpage1)\n self._test_page_can_be_viewed(self.root,testpage1)","def test_bulk_create(self):\n urls = [reverse('api:user-list')]\n data = [\n {\n \"username\": \"newuser1\",\n \"email\": \"newuser1@example.com\",\n \"password\": \"password\"\n },\n {\n \"username\": \"newuser2\",\n \"email\": \"newuser2@example.com\",\n \"password\": \"password\"\n },\n ]\n access = {\n \"forbidden\": [self.admin_client, self.anonymous_client, self.readonly_client, self.custodian_1_client],\n \"allowed\": []\n }\n for client in access['forbidden']:\n for url in urls:\n self.assertIn(\n client.post(url, data, format='json').status_code,\n [status.HTTP_400_BAD_REQUEST, status.HTTP_401_UNAUTHORIZED, status.HTTP_403_FORBIDDEN]\n )\n\n for client in access['allowed']:\n for url in urls:\n self.assertEqual(\n client.post(url, data, format='json').status_code,\n status.HTTP_201_CREATED\n )","def test_get_create_post_as_staff_user(self):\n\n login = self.client.login(username='testuser_staff', password='password12345')\n\n if login:\n url = reverse('blogs:create')\n response = self.client.get(url)\n\n self.assertEqual(response.status_code, 200)\n self.assertTemplateUsed(response, 'create.html')\n self.client.logout()\n else:\n # TODO Make this dynamic rather than hard coded text string\n self.fail('Login Failed for testuser_staff')","def test_create(self):\n self.assertEqual(Exercise.objects.count(), 2)\n payload = {\n 'name': 'Pecho plano',\n 'description': 'Some description',\n 'muscle_group': 'pecho'\n }\n self.client.post('/exercises/', data=payload)\n self.assertEqual(Exercise.objects.count(), 3)","def test_create_user(self):\n pass","def test_create_user(self):\n pass","def test_create_user(self):\n pass","def test_items_create_empty_content(patch_mongo):\n # create a user, first\n response = client.put(\"/user\",\n json={\"name\": \"John\"})\n assert response.status_code == status.HTTP_201_CREATED\n\n response = client.get(\"/users\")\n assert response.status_code == status.HTTP_200_OK\n assert len(response.json()) == 1\n\n item = {\n \"content\": \"\",\n \"priority\": \"high\",\n \"status\": \"backlog\",\n \"users\": [\"John\"],\n }\n response = client.post(\"/item\", json=item)\n assert response.status_code == status.HTTP_400_BAD_REQUEST","def test_get_create_post_as_user_logged_in(self):\n\n login = self.client.login(username='testuser_normal', password='password12345')\n\n if login:\n url = reverse('blogs:create')\n response = self.client.get(url)\n\n self.assertEqual(response.status_code, 403)\n self.client.logout()\n\n else:\n # TODO Make this dynamic rather than hard coded text string\n self.fail('Login Failed for the testuser_normal')","def test_create_student(self):\n response = self.client.post(self.url, data=json.dumps(self.payload), content_type='application/json')\n self.assertEqual(response.status_code, status.HTTP_200_OK, msg=response.content.decode())\n self.assertEqual(Student.objects.count(), self.qty + 1)\n self.assertTrue(User.objects.filter(email=self.payload['email']).exists())\n self.assertTrue(User.objects.filter(username=self.payload['email']).exists())\n user_id = User.objects.get(username=self.payload['email']).id\n self.assertTrue(Student.objects.filter(user_id=user_id).exists())","def test_create_movie(self):\n user = User.objects.create(username='test_user')\n user.set_password('test123')\n user.save()\n self.client.login(username='test_user', password='test123')\n\n data = {\n 'title': 'The Mask',\n 'release_year': 1994\n }\n response = self.client.post(self.url, data, format='json')\n self.assertEqual(response.status_code, status.HTTP_201_CREATED)\n self.assertEqual(Movie.objects.count(), 1)\n self.assertEqual(Movie.objects.first().title, 'The Mask')","def test_news_index_has_perm(self):\n self.assertStatusCode(self.url, 200)","def test_get_create_post_as_admin_user(self):\n login = self.client.login(username='testuser_admin', password='password12345')\n\n if login:\n url = reverse('blogs:create')\n response = self.client.get(url)\n\n self.assertEqual(response.status_code, 200)\n self.assertTemplateUsed(response, 'create.html')\n self.client.logout()\n else:\n # TODO Make this dynamic rather than hard coded text string\n self.fail('Login Failed for testuser_staff')","def setUp(self):\n self.news_article = News_Articles(\"Technology Change The World\",\"JOHN DOE\",\"Technolgy is the best\",\"tech.com\",\"tech.com/tchey.png\",\"2020-10-20\")","def test_activity_creation(self):\n\n res = self.register_login_get_token()\n self.assertEqual(res.status_code, 201)\n # create a activity\n res = self.client().post('/bucketlist/1/activities',\n headers=dict(\n Authorization=\"Bearer \" + self.access_token),\n data=self.activity)\n self.assertEqual(res.status_code, 201)\n self.assertIn('Shop in', str(res.data))","def test_create_instructor(self):\n response = self.client.post(self.url, data=json.dumps(self.payload), content_type='application/json')\n self.assertEqual(response.status_code, status.HTTP_200_OK, msg=response.content.decode())\n self.assertEqual(Instructor.objects.count(), self.qty + 1)\n self.assertTrue(User.objects.filter(email=self.payload['email']).exists())\n self.assertTrue(User.objects.filter(username=self.payload['email']).exists())\n user_id = User.objects.get(username=self.payload['email']).id\n self.assertTrue(Instructor.objects.filter(user_id=user_id).exists())","def test_post_creation_unauthenticated(self):\n url = reverse('post-list', args=[self.topic1.url_name])\n payload = {\n 'author': self.user1.id,\n 'title': 'Creating a post while being unauthenticated',\n 'content': 'Rich content 5',\n }\n response = self.client.post(url, payload)\n\n self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)\n new_post = Post.objects.filter(\n author=self.user1,\n title=payload.get('title'),\n content=payload.get('content'),\n topic=self.topic1\n )\n self.assertFalse(new_post.exists())","def create_animal_news_item():\n current_user = get_jwt_identity()\n\n if not current_user:\n print('uri=/login error=\"Missing user\"')\n return jsonify(message=\"Missing user\"), 400\n\n try:\n username = User.get_username_by_id(current_user)\n animal_id = request.json.get('animalId', None)\n news_text = request.json.get('newsText', None)\n shelter_id = ShelterWorker.get_shelter_id_by_user_id(current_user)\n except Exception as e:\n print(e, flush=True)\n return jsonify(message='{}'.format(e)), 500\n\n try:\n user_detail = UserDetail.get_printable_user_detail(username)\n print(user_detail, flush=True)\n except Exception as e:\n print(e, flush=True)\n return jsonify(message=\"{}\".format(e)), 501\n\n if user_detail['userType'] != 'shelter worker':\n return jsonify(message=\"User is not a shelter worker\"), 401\n\n try:\n animal = Animal.get_animal_by_id(animal_id)\n if animal.shelter_id == shelter_id:\n new_animal_news = AnimalNews()\n result = new_animal_news.create_news_item_for_animal_id(news_text, animal_id)\n else:\n message = 'Animal does not belong to same shelter as shelter worker'\n print(message)\n return jsonify(message='{}'.format(message)), 502\n except Exception as e:\n print(e, flush=True)\n return jsonify(message=\"{}\".format(e)), 503\n\n return jsonify(message='{}'.format(result)), 200","def test_regular_user(self):\n url = reverse('api:log-list')\n\n # Test creation\n user = self.template_users['normal_user1']\n self.client.login(email=user['email'], password=user['password'])\n\n response = self.client.post(url, {\n 'message': 'Anon test',\n 'severity': 0,\n 'category': 'test',\n })\n self.assertEqual(response.status_code, status.HTTP_201_CREATED)\n\n # We should see two entries: the pre-built test entry and the\n # one we just created\n response = self.client.get(url)\n self.assertEqual(response.data['count'], 2)\n\n # Deletion should not be possible\n response = self.client.post(reverse('api:log-erase'), {\n 'before': str(timezone.now()),\n 'max_severity': LogEntry.ERROR,\n })\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)","def test_get_reusableitem_api_public(self):\n\n self.reusableitem_1.is_public = True\n self.reusableitem_1.save()\n\n self.client.logout()\n\n\n response = self.client.get(get_reusable_item_1_url(self))\n\n self.assertEqual(response.status_code, status.HTTP_200_OK)","def test_get_reusableitem_api_not_public(self):\n\n # user not logged in\n self.client.logout()\n\n response = self.client.get(get_reusable_item_1_url(self))\n\n self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)\n\n # user logged in and created the Reusable Item\n self.client.force_authenticate(user=self.user_1)\n\n response = self.client.get(get_reusable_item_1_url(self))\n\n self.assertEqual(response.status_code, status.HTTP_200_OK)\n\n # user logged in and did not create the Reusable Item\n self.client.logout()\n self.client.force_authenticate(user=self.user_2)\n\n response = self.client.get(get_reusable_item_1_url(self))\n\n self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)","def test_limit_items(self):\n AnnouncementFactory(\n title=\"Not going to be there\",\n expires_at=timezone.now() - datetime.timedelta(days=1),\n )\n for i in range(5):\n AnnouncementFactory()\n\n response = self.get(\"announcements:feed\")\n\n assert \"Not going to be there\" not in response.content.decode()","def test_collection_viewset_create_as_staff(mocker, post_data, logged_in_apiclient):\n mocker.patch(\"ui.serializers.get_moira_client\")\n client, user = logged_in_apiclient\n user.is_staff = True\n user.save()\n url = reverse(\"models-api:collection-list\")\n result = client.post(url, post_data, format=\"json\")\n assert result.status_code == status.HTTP_201_CREATED\n assert \"videos\" not in result.data\n\n # the creation should work also without a JSON request\n result = client.post(url, post_data)\n assert result.status_code == status.HTTP_201_CREATED\n assert \"videos\" not in result.data","def test_add_permission(self):\r\n self.assertFalse(self.creator_admin.has_add_permission(self.request))","def test_anonymous_user_create_blogposts(self):\r\n\r\n with self.flask_app.test_request_context('/'):\r\n\r\n assert_raises(Unauthorized, getattr(require, 'blogpost').create)","def test_createPost(self):\n\t\tself.client.force_authenticate(user=User.objects.get(id=1))\n\t\turl = \"/posts/\"\n\t\tdata = {\n\t\t\t'text' : 'Vivaldi',\n\t\t\t'group': 3\n\n\t\t}\n\t\tresponse = self.client.post(url, data, format='json')\n\t\tself.assertEqual(response.status_code, status.HTTP_201_CREATED)\n\t\tself.assertEqual(response.data[\"id\"], 4)\n\t\tself.assertEqual(response.data[\"text\"], 'Vivaldi')\n\t\tself.assertEqual(Post.objects.count(), 4)","def test_user_creation(self):\n self.assertEqual(CustomUser.objects.count() - self.user_count, 2)\n self.assertEqual(self.new_student_user.username, 'Student')\n self.assertTrue(self.new_student_user.password, 'student12345')\n self.assertEqual(self.new_instructor_user.username, 'Instructor')\n self.assertTrue(self.new_instructor_user.password, 'instructor12345')","def test_article_created(self):\n response = self.client.post(reverse('add_article'),\n {'title': 'Test title', 'description': 'Some description', 'author': 'Roman'}\n )\n self.assertEqual(response.status_code, 302)","def test_create_post(self):\n with self.client:\n result = self.client.post('/users/spike-test/posts', data={\n \"post-title\": \"autotest title\",\n \"post-content\": \"autotest content for blog post testing\"\n }, follow_redirects=True)\n self.assertEqual(result.status_code, 200)\n self.assertIn(b'autotest title', result.data)","def test_post_list_other_user(self):\n story_post_data = {\n 'title': \"Test Story\",\n 'summary': \"Test Summary\",\n 'byline': \"Test Byline\",\n 'status': \"draft\",\n 'language': \"en\",\n }\n section_post_data = {\n 'title': \"Test Section\",\n 'language': \"en\",\n 'layout': \"26c81c9dd24c4aecab7ab4eb1cc9e2fb\"\n }\n story = create_story(title=\"Test Story\", summary=\"Test Summary\",\n byline=\"Test Byline\", status='published',\n author=self.user2)\n self.api_client.client.login(username=self.username, password=self.password)\n story_resource_uri = '/api/0.1/stories/%s/' % story.story_id \n # Confirm there are no sections\n self.assertEqual(len(story.sections.all()), 0)\n # Create a new section\n sections_uri = \"%ssections/\" % (story_resource_uri)\n response = self.api_client.post(sections_uri,\n format='json', data=section_post_data)\n self.assertHttpUnauthorized(response)\n self.assertEqual(len(story.sections.all()), 0)","def test_perform_create(self):\n\n response = self.client.post(reverse('action-list'), data=self.data)\n self.assertEqual(response.status_code, status.HTTP_201_CREATED)\n self.assertEqual(response.data['name'], self.data['name'])\n self.assertTrue(len(response.data['institution']), self.data['institution'])","def test_create_collection(self):\n pass","def test_collection_viewset_create_as_normal_user(post_data, logged_in_apiclient):\n client, _ = logged_in_apiclient\n url = reverse(\"models-api:collection-list\")\n result = client.post(url, post_data, format=\"json\")\n assert result.status_code == status.HTTP_403_FORBIDDEN","def setUp(self):\n self.client = Client()\n #creamos un usuario en la db\n self.user = User.objects.create_user('super', 'lennon@thebeatles.com', 'super')","def setUp(self):\n\n self.new_user = User(username=\"john\", email=\"john@gmail.com\", pass_secure=\"trial1\")\n\n self.new_blog = Blog(title=\"business blog\", description=\"asdfghjkl\")","def test_create_user(self):\n data = {\n 'username': 'foobar',\n 'email': 'foobar@example.com',\n 'password': 'somepassword'\n }\n\n request = self.factory.post(self.create_url, data, format='json')\n view = UserViewSet.as_view({\"post\": \"create\"})\n response = view(request)\n self.assertEqual(User.objects.count(), 2)\n self.assertEqual(response.status_code, status.HTTP_201_CREATED)\n self.assertEqual(response.data['username'], data['username'])\n self.assertEqual(response.data['email'], data['email'])\n self.assertFalse('password' in response.data)","def testcreatelist(self):\n rv = self.app.get('/createcategory')\n self.assertEqual(rv.status_code, 302, \"createlist page should not load unless signed in\")","def test_create_task_view(self):\n create_task_url = reverse('create_task')\n response = self.client.get(create_task_url)\n self.assertEqual(response.status_code, 200)\n self.assertTemplateUsed(response, 'tasks/task_form.html')\n user = User.objects.get(username='ragsagar')\n data = {\n 'title': 'Test task 2',\n 'priority': 1,\n 'module': 'HRMS',\n 'due_date': datetime.date(2014, 4, 5),\n 'type': 1,\n 'description': 'This is a description',\n 'assigned_user_id': user.pk,\n }\n old_count = Task.objects.all().count()\n response = self.client.post(create_task_url, data)\n self.assertEqual(response.status_code, 302)\n self.assertEqual(Task.objects.all().count(), old_count+1)","def test_shoppingitems_creation(self):\n # register and login a user\n self.app.post('/register', data=self.user_reg_details)\n self.app.post('/login', data=self.user_login_details)\n # create a shopping list\n self.shopping_class_obj.create_list(\n 'Easter', 'maina@gmail.com')\n # make a post request to add an item\n res = self.app.post(\n '/shoppingitems/Easter', data={'item-name': 'Bread'})\n self.assertEqual(res.status_code, 200)\n response = self.item_class_obj.add_item(\n 'Easter', 'Bread', 'maina@gmail.com')\n self.assertIsInstance(response, list)\n # check if item was successfully created\n self.assertIn(\"Bread\", str(res.data))","def test_add_new_post(self):\n with self.client:\n self.client.post(\n url_for('login'), \n data=dict(\n email='admin@admin.com',\n password='admin2016'\n ),\n follow_redirects=True\n )\n response = self.client.post(\n url_for('post'),\n data=dict(\n title=\"Test Title\",\n content=\"Test Content\"\n ),\n follow_redirects=True\n )\n self.assertIn(b'Test Title', response.data)","def test_model_can_create_an_article(self):\n response = CreateArticle().create_article()\n self.assertTrue(isinstance(response, Article))","def test_post_user_post(self):\n pass","def test_api_can_create_users(self):\n res = self.client().post('/api/v1/user/', data = self.req)\n self.assertEquals(res.status_code, 200)\n self.assertIn('mary', str(res.data))","def setUp(self):\n super().setUp()\n\n \"\"\"\n Log in and register a new user.\n Use this user's credentials to create an article. We will perform our\n tests on this created article using the user set up in our base test.\n \"\"\"\n user_data = {\n \"username\": \"new_user\",\n \"email\": \"user@gmail.com\",\n \"password\": \"kamila1990\",\n }\n \"\"\"Register user\"\"\"\n self.client.post(self.registration_url, user_data,\n format='json')\n token = generate_jwt_token(user_data['username'])\n\n self.client.get(\n reverse(\"authentication:activate_user\", args=[token]))\n\n \"\"\"Login the user\"\"\"\n response = self.client.post(self.login_url, user_data,\n format='json')\n self.author_headers = {'HTTP_AUTHORIZATION': 'Bearer {}'.format(\n response.data['token'])}\n\n \"\"\"Post an article\"\"\"\n self.res = self.client.post(self.article_url, self.article_data,\n format=\"json\", **self.author_headers)\n\n self.slug = self.res.data['slug']\n\n self.violate_max_value_error_message = \\\n 'Ensure this value is less than or equal to 5.'\n\n self.violate_min_value_error_message = \\\n 'Ensure this value is greater than or equal to 1.'\n\n self.violate_empty_value_error_message = \\\n 'Please fill in the rating'\n\n self.non_existent_article_message = \\\n 'That article does not exist'\n\n self.rate_own_article_error_message = \\\n 'Sorry, but you cannot rate your own article.'","def setUp(self):\r\n\r\n User.query.delete()\r\n Article.query.delete()\r\n db.session.commit()\r\n\r\n u = User(\r\n username=\"testuser\",\r\n password=\"HASHED_PASSWORD\",\r\n location=\"US-VA\"\r\n )\r\n\r\n db.session.add(u)\r\n db.session.commit()\r\n\r\n a = Article(\r\n path='testPath',\r\n url='https://wwww.testurl.com',\r\n location=\"US\",\r\n title=\"testTitle\",\r\n excerpt=\"testExcerpt\",\r\n image=\"https://www.testurl.com/testimg.jpg\",\r\n source=\"testSource\",\r\n published_date=\"2020-04-25 05:06:00\",\r\n saved_by=u.id\r\n )\r\n\r\n db.session.add(a)\r\n db.session.commit()\r\n\r\n self.client = app.test_client()\r\n app.config['TESTING'] = True\r\n app.config['WTF_CSRF_ENABLED'] = False","def test_movies_limited_to_user(self):\n user2 = get_user_model().objects.create_user(\n 'other@youremail.com',\n 'pass123'\n )\n sample_movie(user=user2)\n sample_movie(user=self.user)\n\n res = self.client.get(MOVIES_URL)\n\n movies = Movie.objects.filter(user=self.user)\n serializer = MovieSerializer(movies, many=True)\n self.assertEqual(res.status_code, status.HTTP_200_OK)\n self.assertEqual(len(res.data), 1)\n self.assertEqual(res.data, serializer.data)","def test_add_user(self):\n pass","def setUp(self):\n user = User.objects.create(username=\"nerd\")\n self.client = APIClient()\n self.client.force_authenticate(user=user)\n self.post_data = {'name':'Go to Ibiza', 'owner': user.id}\n self.response = self.client.post(\n reverse('create'),\n self.post_data,\n format=\"json\")","def test_create_successful(self):\n self.webkom.add_user(self.disallowed_user)\n request = self.factory.post(\"/permissiontest/\", self.test_update_object)\n force_authenticate(request, self.disallowed_user)\n view = TestViewSet.as_view({\"post\": \"create\"})\n\n response = view(request)\n created = response.data\n\n self.assertEqual(response.status_code, status.HTTP_201_CREATED)\n self.assertEqual(created[\"name\"], self.test_update_object[\"name\"])","def test_blog_add():","def test_create__normal_valid(self):\n testing_config.sign_in('admin@example.com', 123567890)\n\n json_data = {\n 'email': 'new_user@example.com',\n 'isAdmin': False, 'isSiteEditor': False}\n with test_app.test_request_context(self.request_path, json=json_data):\n actual_json = self.handler.do_post()\n self.assertEqual('new_user@example.com', actual_json['email'])\n self.assertFalse(actual_json['is_site_editor'])\n self.assertFalse(actual_json['is_admin'])\n\n new_appuser = (user_models.AppUser.query(\n user_models.AppUser.email == 'new_user@example.com').get())\n result_email = new_appuser.email\n result_is_admin = new_appuser.is_admin\n new_appuser.key.delete()\n self.assertEqual('new_user@example.com', result_email)\n self.assertFalse(result_is_admin)","def test_api_can_create_a_post(self):\n self.assertEqual(self.response.status_code, status.HTTP_201_CREATED)","def test_supeuser_create_log(self):\n user = SuperUserFactory.create()\n self.request.user = user\n user_logged_in.send(\n sender=user.__class__,\n request=self.request,\n user=user,\n )\n\n self.assertTrue(LogEntry.objects.get())","def test_user_create(self):\n user_count = User.objects.count()\n user = User.objects.create_user(email='test@test.com', password='test')\n self.assertTrue(User.objects.count() == user_count + 1)\n self.assertFalse(user.is_staff)\n self.assertFalse(user.is_superuser)\n with self.assertRaises(ValueError, msg='The email must be provided'):\n User.objects.create_user(email='', password='test')"],"string":"[\n \"def test_news_create(self):\\n news = News.save_news('www.testing.com', 'testing', 'testing is painful but important', datetime.utcnow(), 'www.sometestimg.url' )\\n news_created = News.query.get(news.url)\\n\\n all_news = News.query.all()\\n\\n self.assertEqual(len(all_news), 1)\\n self.assertEqual(news, news_created)\",\n \"def test_create_reusableitem_authenticated(self):\\n\\n self.client.force_authenticate(user=self.user_1)\\n\\n toptenitems = self.toptenlist_1.topTenItem.all()\\n toptenitem_1_id = toptenitems[0].id\\n\\n response = create_reusable_item_1(self, toptenitem_1_id, **reusableitem_1_data)\\n\\n newreusableitem = self.reusableitem_1\\n\\n self.assertEqual(response.status_code, status.HTTP_200_OK)\\n self.assertEqual(ReusableItem.objects.count(), 1)\\n\\n # the new Reusable Item has the correct properties\\n self.assertEqual(newreusableitem.name, reusableitem_1_data['name'])\\n self.assertEqual(newreusableitem.definition, reusableitem_1_data['reusableItemDefinition'])\\n self.assertEqual(newreusableitem.link, reusableitem_1_data['reusableItemLink'])\\n self.assertEqual(newreusableitem.is_public, False)\",\n \"def create_item(self, user: User, **kwargs) -> None:\",\n \"def test_create_methods(self):\\n self.assertFalse('articles' in self.site.__dict__)\\n self.site.articles()\\n self.assertTrue('articles' in self.site.__dict__)\",\n \"def test_publish(self):\\n spiderman = User.objects.create(username=\\\"spiderman\\\", password=\\\"mary_jane\\\")\\n BlogEntry.objects.create(title=\\\"Spam Blog\\\", text=\\\"This is BlogSpam\\\", created_by=spiderman)\",\n \"def test_post_creation_regular_user(self):\\n url = reverse('post-list')\\n user_url = reverse('user-detail', kwargs={'pk': self.superuser.id})\\n title = 'Test Title'\\n body = 'Test Body'\\n self.client.force_authenticate(user=self.user)\\n response = self.client.post(url, {'title': title, 'body': body, 'user': user_url}, format='json')\\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)\",\n \"def test_create_post(self):\\n self.test_category = Category.objects.create(name='django')\\n self.testuser1 = User.objects.create_superuser(\\n username='test_user1', password='123456789')\\n # self.testuser1.is_staff = True\\n\\n self.client.login(username=self.testuser1.username,\\n password='123456789')\\n\\n data = {\\\"title\\\": \\\"new\\\", \\\"author\\\": 1,\\n \\\"excerpt\\\": \\\"new\\\", \\\"content\\\": \\\"new\\\"}\\n url = reverse('blog_api:listcreate')\\n response = self.client.post(url, data, format='json')\\n self.assertEqual(response.status_code, status.HTTP_201_CREATED)\",\n \"def test_post_create_post_as_user_logged_in(self):\\n\\n login = self.client.login(username='testuser_normal', password='password12345')\\n\\n if login:\\n\\n new_title = \\\"this is a new title for create\\\"\\n new_content = \\\"this is new content for create by nicholas herriot\\\"\\n new_published_date = \\\"2017-01-01\\\"\\n data = {'title': new_title, 'content': new_content, 'publish': new_published_date}\\n url = reverse('blogs:create')\\n response = self.client.post(url, data)\\n\\n # There should not be a new blog create with this title, so check that it does not exist\\n with self.assertRaises(Post.DoesNotExist):\\n new_blog = Post.objects.get(title=new_title)\\n self.assertEqual(response.status_code, 403)\\n self.client.logout()\\n else:\\n # TODO Make this dynamic rather than hard coded text string\\n self.fail('Login Failed for testuser_staff')\",\n \"def test_create(self):\\n urls = [reverse('api:user-list')]\\n data = {\\n \\\"username\\\": \\\"newuser\\\",\\n \\\"email\\\": \\\"newuser@example.com\\\",\\n \\\"password\\\": \\\"password\\\"\\n }\\n access = {\\n \\\"forbidden\\\": [self.anonymous_client, self.readonly_client, self.custodian_1_client],\\n \\\"allowed\\\": [self.admin_client]\\n }\\n for client in access['forbidden']:\\n for url in urls:\\n self.assertIn(\\n client.post(url, data, format='json').status_code,\\n [status.HTTP_401_UNAUTHORIZED, status.HTTP_403_FORBIDDEN]\\n )\\n\\n for client in access['allowed']:\\n for url in urls:\\n self.assertEqual(\\n client.post(url, data, format='json').status_code,\\n status.HTTP_201_CREATED\\n )\",\n \"def test_alert_create_for_site_members(self):\\n pass\",\n \"def test_post_creation_admin(self):\\n url = reverse('post-list')\\n user_url = reverse('user-detail', kwargs={'pk': self.superuser.id})\\n title = 'Test Title'\\n body = 'Test Body'\\n self.client.force_authenticate(user=self.superuser)\\n response = self.client.post(url, {'title': title, 'body': body, 'user': user_url}, format='json')\\n self.assertEqual(response.status_code, status.HTTP_201_CREATED)\\n self.assertIn(title, response.content)\\n self.assertIn(body, response.content)\\n self.assertIn(user_url, response.content)\",\n \"def test_create_reusableitem_not_authenticated(self):\\n\\n self.client.logout()\\n\\n toptenitems = self.toptenlist_1.topTenItem.all()\\n toptenitem_1_id = toptenitems[0].id\\n\\n response = create_reusable_item_1(self, toptenitem_1_id, **reusableitem_1_data)\\n\\n # the request should fail\\n self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)\",\n \"def test_create_activity(self):\\n pass\",\n \"def setUp(self):\\n self.url = reverse(\\\"learning_logs:topics\\\")\\n self.client = Client()\\n self.user = User.objects.create_user(\\n username=\\\"test\\\", email=\\\"test@email.com\\\", password=\\\"test\\\"\\n )\\n Topic.objects.create(user=self.user, text=\\\"Test1\\\", public=True)\\n Topic.objects.create(user=self.user, text=\\\"Test2\\\", public=True)\\n Topic.objects.create(user=self.user, text=\\\"Test3\\\", public=True)\\n Topic.objects.create(user=self.user, text=\\\"Test4\\\", public=False)\",\n \"def test_create(self):\\n pass\",\n \"def test_feed_item_creation(self):\\n title = 'title'\\n link = 'link'\\n description = 'description'\\n item = FeedItem(title, link, description)\\n assert isinstance(item, FeedItem)\\n assert item.title == title\\n assert item.link == link\\n assert item.description == description\",\n \"def test_create_item(self):\\n item = self.item\\n\\n self.assertTrue(isinstance(item, Item))\\n self.assertEqual(item.name, \\\"Test Item\\\")\",\n \"def test_post_create_post_as_admin_user(self):\\n login = self.client.login(username='testuser_admin', password='password12345')\\n\\n if login:\\n\\n new_title = \\\"this is a new title for create\\\"\\n new_content = \\\"this is new content for create by nicholas herriot\\\"\\n new_published_date = datetime.date(2018, 3, 3)\\n data = {'title': new_title, 'content': new_content, 'publish': new_published_date}\\n\\n url = reverse('blogs:create')\\n response = self.client.post(url, data)\\n\\n # There should now be a new blog create with this title and content, so check that it does exist\\n new_blog = Post.objects.get(title='this is a new title for create')\\n\\n self.assertEqual(new_blog.title, new_title)\\n self.assertEqual(new_blog.content, new_content)\\n # TODO Get the publish date check working correclty\\n # self.assertEqual(new_blog.publish, new_published_date)\\n\\n self.assertEqual(response.status_code, 302)\\n self.client.logout()\\n else:\\n # TODO Make this dynamic rather than hard coded text string\\n self.fail('Login Failed for testuser_staff')\",\n \"def test_post_create_post_as_anonymous_user(self):\\n\\n url = reverse('blogs:create')\\n new_title = \\\"this is a new title for create\\\"\\n new_content = \\\"this is new content for create by nicholas herriot\\\"\\n new_published_date = \\\"2017-01-01\\\"\\n data = {'title': new_title, 'content': new_content, 'publish': new_published_date}\\n response = self.client.post(url, data)\\n\\n # There should not be a new blog create with this title, so check that it does not exist\\n with self.assertRaises(Post.DoesNotExist):\\n new_blog = Post.objects.get(title=new_title)\\n self.assertEqual(response.status_code, 403)\",\n \"def test_create_not_admin(self):\\n self.assertEqual(Product.objects.count(), 2)\\n payload = {\\n 'name': 'New product',\\n 'category': self.category_1.id,\\n 'sku': '11111111',\\n 'description': 'New product description',\\n 'price': 39.99\\n }\\n\\n token = Token.objects.create(user=self.user_1)\\n headers = {\\n 'HTTP_AUTHORIZATION': 'Token ' + str(token)\\n }\\n expected = {'detail': 'You do not have permission to perform this action.'}\\n response = self.client.post(\\n '/api/products/', data=payload,\\n content_type='application/json', **headers)\\n self.assertEqual(response.status_code, 403)\\n self.assertEqual(response.json(), expected)\\n self.assertEqual(Product.objects.count(), 2)\",\n \"def setUp(self):\\n subj = create_subject()\\n subj.save()\\n post = Post.create(subject=subj, title=\\\"123ABC\\\", body=\\\"123ABC Body\\\")\\n post.save()\\n comment = Comment.create(post=post, body=\\\"987XYZ\\\")\\n comment.save()\\n # Create and login user\\n self.user = User.objects.create_user(username='testuser', password='12345')\\n login = self.client.login(username='testuser', password='12345')\",\n \"def test_create_reusableitem_not_toptenlist_owner(self):\\n\\n self.client.logout()\\n\\n self.client.force_authenticate(user=self.user_2)\\n\\n toptenitems = self.toptenlist_1.topTenItem.all()\\n toptenitem_1_id = toptenitems[0].id\\n\\n response = create_reusable_item_1(self, toptenitem_1_id, **reusableitem_1_data)\\n\\n # the user cannot see the Top Ten Item because they did not create it\\n self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)\",\n \"def test_chooser_has_perms_no_news(self):\\n response = self.client.get(reverse('wagtailnews:choose'))\\n self.assertEqual(response.status_code, 200)\",\n \"def test_creating_shopping_item(create_shopping_item, create_user):\\n owner = create_user\\n shopping_item = create_shopping_item\\n assert shopping_item.owner == owner\",\n \"def test_createUser_single(self):\\n #TODO: this and other tests\",\n \"def test_post_creation_unauthorized(self):\\n url = reverse('post-list')\\n user_url = reverse('user-detail', kwargs={'pk': self.superuser.id})\\n title = 'Test Title'\\n body = 'Test Body'\\n response = self.client.post(url, {'title': title, 'body': body, 'user': user_url}, format='json')\\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)\",\n \"def test_items_create_no_user(patch_mongo):\\n item = {\\n \\\"content\\\": \\\"lorem ipsum\\\",\\n \\\"priority\\\": \\\"high\\\",\\n \\\"status\\\": \\\"backlog\\\",\\n \\\"users\\\": [\\\"John\\\"],\\n }\\n\\n response = client.post(\\\"/item\\\", json=item)\\n assert response.status_code == status.HTTP_400_BAD_REQUEST\",\n \"def test_user_create_list(self):\\n c = Client()\\n c.login(username= 'testuser', password = 'password')\\n c.post('/inventory/list/add/', {'name': 'testname'})\\n\\n self.assertEqual(List.objects.get(name = 'testname'), List.objects.get(users__username = 'testuser'))\",\n \"def test_users_post(self):\\n pass\",\n \"def test_users_post(self):\\n pass\",\n \"def test_get_create_post_as_staff_user_and_check_main_title_description(self):\\n\\n login = self.client.login(username='testuser_staff', password='password12345')\\n\\n if login:\\n url = reverse('blogs:create')\\n response = self.client.get(url)\\n\\n self.assertEqual(response.status_code, 200)\\n self.assertTemplateUsed(response, 'create.html')\\n self.assertIn(self.main_title, str(response.content))\\n self.assertIn(self.description1, str(response.content))\\n self.assertIn(self.description2, str(response.content))\\n self.client.logout()\\n else:\\n # TODO Make this dynamic rather than hard coded text string\\n self.fail('Login Failed for testuser_staff')\",\n \"def test_create(self, client):\\n count = get_user_model().objects.count()\\n data = factory.build(dict, FACTORY_CLASS=UserFactory)\\n url = reverse('users:create')\\n response = client.post(url, data)\\n assert response.status_code == 302\\n\\n user = get_user_model().objects.last()\\n assert user.username == data['username']\\n assert user.birthday == datetime.datetime.strptime(data['birthday'], '%Y-%m-%d').date()\\n assert get_user_model().objects.count() == count + 1\",\n \"def test_api_video_create_staff_or_user(self):\\n for user in [factories.UserFactory(), factories.UserFactory(is_staff=True)]:\\n self.client.login(username=user.username, password=\\\"test\\\")\\n response = self.client.post(\\\"/api/videos/\\\")\\n self.assertEqual(response.status_code, 401)\\n self.assertFalse(models.Video.objects.exists())\",\n \"def test_post_create_post_as_staff_user(self):\\n login = self.client.login(username='testuser_staff', password='password12345')\\n\\n if login:\\n\\n new_title = \\\"this is a new title for create\\\"\\n new_content = \\\"this is new content for create by nicholas herriot\\\"\\n new_published_date = datetime.date(2018, 3, 3)\\n data = {'title': new_title, 'content': new_content, 'publish': new_published_date}\\n\\n url = reverse('blogs:create')\\n response = self.client.post(url, data)\\n\\n # There should now be a new blog create with this title and content, so check that it does exist\\n new_blog = Post.objects.get(title='this is a new title for create')\\n # print(\\\"*** New blog created as a slug of: {}\\\".format(new_blog.slug))\\n # print(\\\"*** New blog created as a titel of: {}\\\".format(new_blog.title))\\n # print(\\\"*** New blog created as content of: {}\\\".format(new_blog.content))\\n # print(\\\"*** New blog created as a published date of: {}\\\".format(new_blog.publish))\\n\\n self.assertEqual(new_blog.title, new_title)\\n self.assertEqual(new_blog.content, new_content)\\n # TODO Get the publish date check working correctly\\n # self.assertEqual(new_blog.publish, new_published_date)\\n\\n self.assertEqual(response.status_code, 302)\\n self.client.logout()\\n else:\\n # TODO Make this dynamic rather than hard coded text string\\n self.fail('Login Failed for testuser_staff')\",\n \"def test_create(self):\\n self.client.force_authenticate(user=self.admin)\\n\\n data = {\\n 'retreat': reverse(\\n 'retreat:retreat-detail', args=[self.retreat.id]\\n ),\\n 'user': reverse('user-detail', args=[self.user2.id]),\\n }\\n\\n response = self.client.post(\\n reverse(\\n 'retreat:waitqueuenotification-list',\\n ),\\n data,\\n format='json',\\n )\\n\\n self.assertEqual(\\n response.status_code,\\n status.HTTP_405_METHOD_NOT_ALLOWED\\n )\",\n \"def test_feed_creation(self):\\n items = []\\n feed = Feed(items)\\n assert isinstance(feed, Feed)\\n assert items == feed.items\",\n \"def test_add_maually(self):\\n self.site.articles = 'foo'\\n self.assertEqual(self.site.articles(), 'foo')\",\n \"def test_add_item_using_post(self):\\n pass\",\n \"def test_post_users_post(self):\\n pass\",\n \"def test_items_create_empty_user(patch_mongo):\\n item = {\\n \\\"content\\\": \\\"lorem ipsum\\\",\\n \\\"priority\\\": \\\"high\\\",\\n \\\"status\\\": \\\"backlog\\\",\\n \\\"users\\\": [],\\n }\\n\\n response = client.post(\\\"/item\\\", json=item)\\n assert response.status_code == status.HTTP_400_BAD_REQUEST\",\n \"def setUp(self):\\n self.new_article = Article(\\\"abc-news\\\", \\\"ABC News\\\", \\\"Your trusted source for breaking news, analysis, exclusive interviews, headlines, and videos at ABCNews.com.\\\",\\\"https://abcnews.go.com\\\", \\\"general\\\", \\\"en\\\", \\\"us\\\")\",\n \"def test_create_with_permissions(self):\\n permissions = Permission.objects.filter(name__in=('Can add course mode', 'Can change course mode'))\\n for permission in permissions:\\n self.user.user_permissions.add(permission)\\n\\n self.assert_can_create_course()\",\n \"def test_post_creation_success(self):\\n url = reverse('post-list', args=[self.topic1.url_name])\\n payload = {\\n 'author': self.user1.id,\\n 'title': 'Creating a post',\\n 'content': 'Rich content 4',\\n }\\n self.client.credentials(\\n HTTP_AUTHORIZATION = 'Token ' + self.user1.auth_token.key\\n )\\n response = self.client.post(url, payload)\\n\\n self.assertEqual(response.status_code, status.HTTP_201_CREATED)\\n new_post = Post.objects.filter(\\n author=self.user1,\\n title=payload.get('title'),\\n content=payload.get('content'),\\n topic=self.topic1\\n )\\n self.assertTrue(new_post.exists())\",\n \"def setUp(self):\\n\\n self.user_data = {\\n \\\"username\\\": \\\"test_user\\\",\\n \\\"email\\\": \\\"test_user@mailinator.com\\\",\\n \\\"password\\\": \\\"P@ssW0rd!\\\"\\n }\\n\\n self.user = User.objects.create_user(**self.user_data)\\n self.article_data = {\\n 'title': 'the quick brown fox',\\n 'body': 'this article is nice',\\n 'description': 'this is a description',\\n 'author': self.user\\n }\\n self.article = Articles.objects.create(**self.article_data)\\n\\n self.bookmark_data = {\\n \\\"profile\\\": self.user.profile,\\n \\\"article\\\": self.article\\n }\",\n \"def test_user_creation(self):\\r\\n \\r\\n self.assertIsInstance(self.user, User)\",\n \"def test_create_reusableitem_not_verified(self):\\n\\n email_address = EmailAddress.objects.get(user_id=self.user_1.id)\\n email_address.verified = False\\n email_address.save()\\n\\n self.client.force_authenticate(user=self.user_1)\\n\\n toptenitems = self.toptenlist_1.topTenItem.all()\\n toptenitem_1_id = toptenitems[0].id\\n\\n response = create_reusable_item_1(self, toptenitem_1_id, **reusableitem_1_data)\\n\\n # the user can see the Top Ten Item because they created it\\n # but cannot change it because their email address is not verified\\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)\",\n \"def test_user_creation(self):\\n self.assertTrue(User.objects.exists())\",\n \"def test_registered_user_can_create_project(self):\\n user = self._create_user({\\\"username\\\":\\\"user2\\\",\\\"email\\\":\\\"ab@cd.com\\\"})\\n testproject = self._create_comicsite_in_admin(user,\\\"user1project\\\") \\n testpage1 = create_page_in_admin(testproject,\\\"testpage1\\\")\\n testpage2 = create_page_in_admin(testproject,\\\"testpage2\\\")\\n \\n self._test_page_can_be_viewed(user,testpage1)\\n self._test_page_can_be_viewed(self.root,testpage1)\",\n \"def test_bulk_create(self):\\n urls = [reverse('api:user-list')]\\n data = [\\n {\\n \\\"username\\\": \\\"newuser1\\\",\\n \\\"email\\\": \\\"newuser1@example.com\\\",\\n \\\"password\\\": \\\"password\\\"\\n },\\n {\\n \\\"username\\\": \\\"newuser2\\\",\\n \\\"email\\\": \\\"newuser2@example.com\\\",\\n \\\"password\\\": \\\"password\\\"\\n },\\n ]\\n access = {\\n \\\"forbidden\\\": [self.admin_client, self.anonymous_client, self.readonly_client, self.custodian_1_client],\\n \\\"allowed\\\": []\\n }\\n for client in access['forbidden']:\\n for url in urls:\\n self.assertIn(\\n client.post(url, data, format='json').status_code,\\n [status.HTTP_400_BAD_REQUEST, status.HTTP_401_UNAUTHORIZED, status.HTTP_403_FORBIDDEN]\\n )\\n\\n for client in access['allowed']:\\n for url in urls:\\n self.assertEqual(\\n client.post(url, data, format='json').status_code,\\n status.HTTP_201_CREATED\\n )\",\n \"def test_get_create_post_as_staff_user(self):\\n\\n login = self.client.login(username='testuser_staff', password='password12345')\\n\\n if login:\\n url = reverse('blogs:create')\\n response = self.client.get(url)\\n\\n self.assertEqual(response.status_code, 200)\\n self.assertTemplateUsed(response, 'create.html')\\n self.client.logout()\\n else:\\n # TODO Make this dynamic rather than hard coded text string\\n self.fail('Login Failed for testuser_staff')\",\n \"def test_create(self):\\n self.assertEqual(Exercise.objects.count(), 2)\\n payload = {\\n 'name': 'Pecho plano',\\n 'description': 'Some description',\\n 'muscle_group': 'pecho'\\n }\\n self.client.post('/exercises/', data=payload)\\n self.assertEqual(Exercise.objects.count(), 3)\",\n \"def test_create_user(self):\\n pass\",\n \"def test_create_user(self):\\n pass\",\n \"def test_create_user(self):\\n pass\",\n \"def test_items_create_empty_content(patch_mongo):\\n # create a user, first\\n response = client.put(\\\"/user\\\",\\n json={\\\"name\\\": \\\"John\\\"})\\n assert response.status_code == status.HTTP_201_CREATED\\n\\n response = client.get(\\\"/users\\\")\\n assert response.status_code == status.HTTP_200_OK\\n assert len(response.json()) == 1\\n\\n item = {\\n \\\"content\\\": \\\"\\\",\\n \\\"priority\\\": \\\"high\\\",\\n \\\"status\\\": \\\"backlog\\\",\\n \\\"users\\\": [\\\"John\\\"],\\n }\\n response = client.post(\\\"/item\\\", json=item)\\n assert response.status_code == status.HTTP_400_BAD_REQUEST\",\n \"def test_get_create_post_as_user_logged_in(self):\\n\\n login = self.client.login(username='testuser_normal', password='password12345')\\n\\n if login:\\n url = reverse('blogs:create')\\n response = self.client.get(url)\\n\\n self.assertEqual(response.status_code, 403)\\n self.client.logout()\\n\\n else:\\n # TODO Make this dynamic rather than hard coded text string\\n self.fail('Login Failed for the testuser_normal')\",\n \"def test_create_student(self):\\n response = self.client.post(self.url, data=json.dumps(self.payload), content_type='application/json')\\n self.assertEqual(response.status_code, status.HTTP_200_OK, msg=response.content.decode())\\n self.assertEqual(Student.objects.count(), self.qty + 1)\\n self.assertTrue(User.objects.filter(email=self.payload['email']).exists())\\n self.assertTrue(User.objects.filter(username=self.payload['email']).exists())\\n user_id = User.objects.get(username=self.payload['email']).id\\n self.assertTrue(Student.objects.filter(user_id=user_id).exists())\",\n \"def test_create_movie(self):\\n user = User.objects.create(username='test_user')\\n user.set_password('test123')\\n user.save()\\n self.client.login(username='test_user', password='test123')\\n\\n data = {\\n 'title': 'The Mask',\\n 'release_year': 1994\\n }\\n response = self.client.post(self.url, data, format='json')\\n self.assertEqual(response.status_code, status.HTTP_201_CREATED)\\n self.assertEqual(Movie.objects.count(), 1)\\n self.assertEqual(Movie.objects.first().title, 'The Mask')\",\n \"def test_news_index_has_perm(self):\\n self.assertStatusCode(self.url, 200)\",\n \"def test_get_create_post_as_admin_user(self):\\n login = self.client.login(username='testuser_admin', password='password12345')\\n\\n if login:\\n url = reverse('blogs:create')\\n response = self.client.get(url)\\n\\n self.assertEqual(response.status_code, 200)\\n self.assertTemplateUsed(response, 'create.html')\\n self.client.logout()\\n else:\\n # TODO Make this dynamic rather than hard coded text string\\n self.fail('Login Failed for testuser_staff')\",\n \"def setUp(self):\\n self.news_article = News_Articles(\\\"Technology Change The World\\\",\\\"JOHN DOE\\\",\\\"Technolgy is the best\\\",\\\"tech.com\\\",\\\"tech.com/tchey.png\\\",\\\"2020-10-20\\\")\",\n \"def test_activity_creation(self):\\n\\n res = self.register_login_get_token()\\n self.assertEqual(res.status_code, 201)\\n # create a activity\\n res = self.client().post('/bucketlist/1/activities',\\n headers=dict(\\n Authorization=\\\"Bearer \\\" + self.access_token),\\n data=self.activity)\\n self.assertEqual(res.status_code, 201)\\n self.assertIn('Shop in', str(res.data))\",\n \"def test_create_instructor(self):\\n response = self.client.post(self.url, data=json.dumps(self.payload), content_type='application/json')\\n self.assertEqual(response.status_code, status.HTTP_200_OK, msg=response.content.decode())\\n self.assertEqual(Instructor.objects.count(), self.qty + 1)\\n self.assertTrue(User.objects.filter(email=self.payload['email']).exists())\\n self.assertTrue(User.objects.filter(username=self.payload['email']).exists())\\n user_id = User.objects.get(username=self.payload['email']).id\\n self.assertTrue(Instructor.objects.filter(user_id=user_id).exists())\",\n \"def test_post_creation_unauthenticated(self):\\n url = reverse('post-list', args=[self.topic1.url_name])\\n payload = {\\n 'author': self.user1.id,\\n 'title': 'Creating a post while being unauthenticated',\\n 'content': 'Rich content 5',\\n }\\n response = self.client.post(url, payload)\\n\\n self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)\\n new_post = Post.objects.filter(\\n author=self.user1,\\n title=payload.get('title'),\\n content=payload.get('content'),\\n topic=self.topic1\\n )\\n self.assertFalse(new_post.exists())\",\n \"def create_animal_news_item():\\n current_user = get_jwt_identity()\\n\\n if not current_user:\\n print('uri=/login error=\\\"Missing user\\\"')\\n return jsonify(message=\\\"Missing user\\\"), 400\\n\\n try:\\n username = User.get_username_by_id(current_user)\\n animal_id = request.json.get('animalId', None)\\n news_text = request.json.get('newsText', None)\\n shelter_id = ShelterWorker.get_shelter_id_by_user_id(current_user)\\n except Exception as e:\\n print(e, flush=True)\\n return jsonify(message='{}'.format(e)), 500\\n\\n try:\\n user_detail = UserDetail.get_printable_user_detail(username)\\n print(user_detail, flush=True)\\n except Exception as e:\\n print(e, flush=True)\\n return jsonify(message=\\\"{}\\\".format(e)), 501\\n\\n if user_detail['userType'] != 'shelter worker':\\n return jsonify(message=\\\"User is not a shelter worker\\\"), 401\\n\\n try:\\n animal = Animal.get_animal_by_id(animal_id)\\n if animal.shelter_id == shelter_id:\\n new_animal_news = AnimalNews()\\n result = new_animal_news.create_news_item_for_animal_id(news_text, animal_id)\\n else:\\n message = 'Animal does not belong to same shelter as shelter worker'\\n print(message)\\n return jsonify(message='{}'.format(message)), 502\\n except Exception as e:\\n print(e, flush=True)\\n return jsonify(message=\\\"{}\\\".format(e)), 503\\n\\n return jsonify(message='{}'.format(result)), 200\",\n \"def test_regular_user(self):\\n url = reverse('api:log-list')\\n\\n # Test creation\\n user = self.template_users['normal_user1']\\n self.client.login(email=user['email'], password=user['password'])\\n\\n response = self.client.post(url, {\\n 'message': 'Anon test',\\n 'severity': 0,\\n 'category': 'test',\\n })\\n self.assertEqual(response.status_code, status.HTTP_201_CREATED)\\n\\n # We should see two entries: the pre-built test entry and the\\n # one we just created\\n response = self.client.get(url)\\n self.assertEqual(response.data['count'], 2)\\n\\n # Deletion should not be possible\\n response = self.client.post(reverse('api:log-erase'), {\\n 'before': str(timezone.now()),\\n 'max_severity': LogEntry.ERROR,\\n })\\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)\",\n \"def test_get_reusableitem_api_public(self):\\n\\n self.reusableitem_1.is_public = True\\n self.reusableitem_1.save()\\n\\n self.client.logout()\\n\\n\\n response = self.client.get(get_reusable_item_1_url(self))\\n\\n self.assertEqual(response.status_code, status.HTTP_200_OK)\",\n \"def test_get_reusableitem_api_not_public(self):\\n\\n # user not logged in\\n self.client.logout()\\n\\n response = self.client.get(get_reusable_item_1_url(self))\\n\\n self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)\\n\\n # user logged in and created the Reusable Item\\n self.client.force_authenticate(user=self.user_1)\\n\\n response = self.client.get(get_reusable_item_1_url(self))\\n\\n self.assertEqual(response.status_code, status.HTTP_200_OK)\\n\\n # user logged in and did not create the Reusable Item\\n self.client.logout()\\n self.client.force_authenticate(user=self.user_2)\\n\\n response = self.client.get(get_reusable_item_1_url(self))\\n\\n self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)\",\n \"def test_limit_items(self):\\n AnnouncementFactory(\\n title=\\\"Not going to be there\\\",\\n expires_at=timezone.now() - datetime.timedelta(days=1),\\n )\\n for i in range(5):\\n AnnouncementFactory()\\n\\n response = self.get(\\\"announcements:feed\\\")\\n\\n assert \\\"Not going to be there\\\" not in response.content.decode()\",\n \"def test_collection_viewset_create_as_staff(mocker, post_data, logged_in_apiclient):\\n mocker.patch(\\\"ui.serializers.get_moira_client\\\")\\n client, user = logged_in_apiclient\\n user.is_staff = True\\n user.save()\\n url = reverse(\\\"models-api:collection-list\\\")\\n result = client.post(url, post_data, format=\\\"json\\\")\\n assert result.status_code == status.HTTP_201_CREATED\\n assert \\\"videos\\\" not in result.data\\n\\n # the creation should work also without a JSON request\\n result = client.post(url, post_data)\\n assert result.status_code == status.HTTP_201_CREATED\\n assert \\\"videos\\\" not in result.data\",\n \"def test_add_permission(self):\\r\\n self.assertFalse(self.creator_admin.has_add_permission(self.request))\",\n \"def test_anonymous_user_create_blogposts(self):\\r\\n\\r\\n with self.flask_app.test_request_context('/'):\\r\\n\\r\\n assert_raises(Unauthorized, getattr(require, 'blogpost').create)\",\n \"def test_createPost(self):\\n\\t\\tself.client.force_authenticate(user=User.objects.get(id=1))\\n\\t\\turl = \\\"/posts/\\\"\\n\\t\\tdata = {\\n\\t\\t\\t'text' : 'Vivaldi',\\n\\t\\t\\t'group': 3\\n\\n\\t\\t}\\n\\t\\tresponse = self.client.post(url, data, format='json')\\n\\t\\tself.assertEqual(response.status_code, status.HTTP_201_CREATED)\\n\\t\\tself.assertEqual(response.data[\\\"id\\\"], 4)\\n\\t\\tself.assertEqual(response.data[\\\"text\\\"], 'Vivaldi')\\n\\t\\tself.assertEqual(Post.objects.count(), 4)\",\n \"def test_user_creation(self):\\n self.assertEqual(CustomUser.objects.count() - self.user_count, 2)\\n self.assertEqual(self.new_student_user.username, 'Student')\\n self.assertTrue(self.new_student_user.password, 'student12345')\\n self.assertEqual(self.new_instructor_user.username, 'Instructor')\\n self.assertTrue(self.new_instructor_user.password, 'instructor12345')\",\n \"def test_article_created(self):\\n response = self.client.post(reverse('add_article'),\\n {'title': 'Test title', 'description': 'Some description', 'author': 'Roman'}\\n )\\n self.assertEqual(response.status_code, 302)\",\n \"def test_create_post(self):\\n with self.client:\\n result = self.client.post('/users/spike-test/posts', data={\\n \\\"post-title\\\": \\\"autotest title\\\",\\n \\\"post-content\\\": \\\"autotest content for blog post testing\\\"\\n }, follow_redirects=True)\\n self.assertEqual(result.status_code, 200)\\n self.assertIn(b'autotest title', result.data)\",\n \"def test_post_list_other_user(self):\\n story_post_data = {\\n 'title': \\\"Test Story\\\",\\n 'summary': \\\"Test Summary\\\",\\n 'byline': \\\"Test Byline\\\",\\n 'status': \\\"draft\\\",\\n 'language': \\\"en\\\",\\n }\\n section_post_data = {\\n 'title': \\\"Test Section\\\",\\n 'language': \\\"en\\\",\\n 'layout': \\\"26c81c9dd24c4aecab7ab4eb1cc9e2fb\\\"\\n }\\n story = create_story(title=\\\"Test Story\\\", summary=\\\"Test Summary\\\",\\n byline=\\\"Test Byline\\\", status='published',\\n author=self.user2)\\n self.api_client.client.login(username=self.username, password=self.password)\\n story_resource_uri = '/api/0.1/stories/%s/' % story.story_id \\n # Confirm there are no sections\\n self.assertEqual(len(story.sections.all()), 0)\\n # Create a new section\\n sections_uri = \\\"%ssections/\\\" % (story_resource_uri)\\n response = self.api_client.post(sections_uri,\\n format='json', data=section_post_data)\\n self.assertHttpUnauthorized(response)\\n self.assertEqual(len(story.sections.all()), 0)\",\n \"def test_perform_create(self):\\n\\n response = self.client.post(reverse('action-list'), data=self.data)\\n self.assertEqual(response.status_code, status.HTTP_201_CREATED)\\n self.assertEqual(response.data['name'], self.data['name'])\\n self.assertTrue(len(response.data['institution']), self.data['institution'])\",\n \"def test_create_collection(self):\\n pass\",\n \"def test_collection_viewset_create_as_normal_user(post_data, logged_in_apiclient):\\n client, _ = logged_in_apiclient\\n url = reverse(\\\"models-api:collection-list\\\")\\n result = client.post(url, post_data, format=\\\"json\\\")\\n assert result.status_code == status.HTTP_403_FORBIDDEN\",\n \"def setUp(self):\\n self.client = Client()\\n #creamos un usuario en la db\\n self.user = User.objects.create_user('super', 'lennon@thebeatles.com', 'super')\",\n \"def setUp(self):\\n\\n self.new_user = User(username=\\\"john\\\", email=\\\"john@gmail.com\\\", pass_secure=\\\"trial1\\\")\\n\\n self.new_blog = Blog(title=\\\"business blog\\\", description=\\\"asdfghjkl\\\")\",\n \"def test_create_user(self):\\n data = {\\n 'username': 'foobar',\\n 'email': 'foobar@example.com',\\n 'password': 'somepassword'\\n }\\n\\n request = self.factory.post(self.create_url, data, format='json')\\n view = UserViewSet.as_view({\\\"post\\\": \\\"create\\\"})\\n response = view(request)\\n self.assertEqual(User.objects.count(), 2)\\n self.assertEqual(response.status_code, status.HTTP_201_CREATED)\\n self.assertEqual(response.data['username'], data['username'])\\n self.assertEqual(response.data['email'], data['email'])\\n self.assertFalse('password' in response.data)\",\n \"def testcreatelist(self):\\n rv = self.app.get('/createcategory')\\n self.assertEqual(rv.status_code, 302, \\\"createlist page should not load unless signed in\\\")\",\n \"def test_create_task_view(self):\\n create_task_url = reverse('create_task')\\n response = self.client.get(create_task_url)\\n self.assertEqual(response.status_code, 200)\\n self.assertTemplateUsed(response, 'tasks/task_form.html')\\n user = User.objects.get(username='ragsagar')\\n data = {\\n 'title': 'Test task 2',\\n 'priority': 1,\\n 'module': 'HRMS',\\n 'due_date': datetime.date(2014, 4, 5),\\n 'type': 1,\\n 'description': 'This is a description',\\n 'assigned_user_id': user.pk,\\n }\\n old_count = Task.objects.all().count()\\n response = self.client.post(create_task_url, data)\\n self.assertEqual(response.status_code, 302)\\n self.assertEqual(Task.objects.all().count(), old_count+1)\",\n \"def test_shoppingitems_creation(self):\\n # register and login a user\\n self.app.post('/register', data=self.user_reg_details)\\n self.app.post('/login', data=self.user_login_details)\\n # create a shopping list\\n self.shopping_class_obj.create_list(\\n 'Easter', 'maina@gmail.com')\\n # make a post request to add an item\\n res = self.app.post(\\n '/shoppingitems/Easter', data={'item-name': 'Bread'})\\n self.assertEqual(res.status_code, 200)\\n response = self.item_class_obj.add_item(\\n 'Easter', 'Bread', 'maina@gmail.com')\\n self.assertIsInstance(response, list)\\n # check if item was successfully created\\n self.assertIn(\\\"Bread\\\", str(res.data))\",\n \"def test_add_new_post(self):\\n with self.client:\\n self.client.post(\\n url_for('login'), \\n data=dict(\\n email='admin@admin.com',\\n password='admin2016'\\n ),\\n follow_redirects=True\\n )\\n response = self.client.post(\\n url_for('post'),\\n data=dict(\\n title=\\\"Test Title\\\",\\n content=\\\"Test Content\\\"\\n ),\\n follow_redirects=True\\n )\\n self.assertIn(b'Test Title', response.data)\",\n \"def test_model_can_create_an_article(self):\\n response = CreateArticle().create_article()\\n self.assertTrue(isinstance(response, Article))\",\n \"def test_post_user_post(self):\\n pass\",\n \"def test_api_can_create_users(self):\\n res = self.client().post('/api/v1/user/', data = self.req)\\n self.assertEquals(res.status_code, 200)\\n self.assertIn('mary', str(res.data))\",\n \"def setUp(self):\\n super().setUp()\\n\\n \\\"\\\"\\\"\\n Log in and register a new user.\\n Use this user's credentials to create an article. We will perform our\\n tests on this created article using the user set up in our base test.\\n \\\"\\\"\\\"\\n user_data = {\\n \\\"username\\\": \\\"new_user\\\",\\n \\\"email\\\": \\\"user@gmail.com\\\",\\n \\\"password\\\": \\\"kamila1990\\\",\\n }\\n \\\"\\\"\\\"Register user\\\"\\\"\\\"\\n self.client.post(self.registration_url, user_data,\\n format='json')\\n token = generate_jwt_token(user_data['username'])\\n\\n self.client.get(\\n reverse(\\\"authentication:activate_user\\\", args=[token]))\\n\\n \\\"\\\"\\\"Login the user\\\"\\\"\\\"\\n response = self.client.post(self.login_url, user_data,\\n format='json')\\n self.author_headers = {'HTTP_AUTHORIZATION': 'Bearer {}'.format(\\n response.data['token'])}\\n\\n \\\"\\\"\\\"Post an article\\\"\\\"\\\"\\n self.res = self.client.post(self.article_url, self.article_data,\\n format=\\\"json\\\", **self.author_headers)\\n\\n self.slug = self.res.data['slug']\\n\\n self.violate_max_value_error_message = \\\\\\n 'Ensure this value is less than or equal to 5.'\\n\\n self.violate_min_value_error_message = \\\\\\n 'Ensure this value is greater than or equal to 1.'\\n\\n self.violate_empty_value_error_message = \\\\\\n 'Please fill in the rating'\\n\\n self.non_existent_article_message = \\\\\\n 'That article does not exist'\\n\\n self.rate_own_article_error_message = \\\\\\n 'Sorry, but you cannot rate your own article.'\",\n \"def setUp(self):\\r\\n\\r\\n User.query.delete()\\r\\n Article.query.delete()\\r\\n db.session.commit()\\r\\n\\r\\n u = User(\\r\\n username=\\\"testuser\\\",\\r\\n password=\\\"HASHED_PASSWORD\\\",\\r\\n location=\\\"US-VA\\\"\\r\\n )\\r\\n\\r\\n db.session.add(u)\\r\\n db.session.commit()\\r\\n\\r\\n a = Article(\\r\\n path='testPath',\\r\\n url='https://wwww.testurl.com',\\r\\n location=\\\"US\\\",\\r\\n title=\\\"testTitle\\\",\\r\\n excerpt=\\\"testExcerpt\\\",\\r\\n image=\\\"https://www.testurl.com/testimg.jpg\\\",\\r\\n source=\\\"testSource\\\",\\r\\n published_date=\\\"2020-04-25 05:06:00\\\",\\r\\n saved_by=u.id\\r\\n )\\r\\n\\r\\n db.session.add(a)\\r\\n db.session.commit()\\r\\n\\r\\n self.client = app.test_client()\\r\\n app.config['TESTING'] = True\\r\\n app.config['WTF_CSRF_ENABLED'] = False\",\n \"def test_movies_limited_to_user(self):\\n user2 = get_user_model().objects.create_user(\\n 'other@youremail.com',\\n 'pass123'\\n )\\n sample_movie(user=user2)\\n sample_movie(user=self.user)\\n\\n res = self.client.get(MOVIES_URL)\\n\\n movies = Movie.objects.filter(user=self.user)\\n serializer = MovieSerializer(movies, many=True)\\n self.assertEqual(res.status_code, status.HTTP_200_OK)\\n self.assertEqual(len(res.data), 1)\\n self.assertEqual(res.data, serializer.data)\",\n \"def test_add_user(self):\\n pass\",\n \"def setUp(self):\\n user = User.objects.create(username=\\\"nerd\\\")\\n self.client = APIClient()\\n self.client.force_authenticate(user=user)\\n self.post_data = {'name':'Go to Ibiza', 'owner': user.id}\\n self.response = self.client.post(\\n reverse('create'),\\n self.post_data,\\n format=\\\"json\\\")\",\n \"def test_create_successful(self):\\n self.webkom.add_user(self.disallowed_user)\\n request = self.factory.post(\\\"/permissiontest/\\\", self.test_update_object)\\n force_authenticate(request, self.disallowed_user)\\n view = TestViewSet.as_view({\\\"post\\\": \\\"create\\\"})\\n\\n response = view(request)\\n created = response.data\\n\\n self.assertEqual(response.status_code, status.HTTP_201_CREATED)\\n self.assertEqual(created[\\\"name\\\"], self.test_update_object[\\\"name\\\"])\",\n \"def test_blog_add():\",\n \"def test_create__normal_valid(self):\\n testing_config.sign_in('admin@example.com', 123567890)\\n\\n json_data = {\\n 'email': 'new_user@example.com',\\n 'isAdmin': False, 'isSiteEditor': False}\\n with test_app.test_request_context(self.request_path, json=json_data):\\n actual_json = self.handler.do_post()\\n self.assertEqual('new_user@example.com', actual_json['email'])\\n self.assertFalse(actual_json['is_site_editor'])\\n self.assertFalse(actual_json['is_admin'])\\n\\n new_appuser = (user_models.AppUser.query(\\n user_models.AppUser.email == 'new_user@example.com').get())\\n result_email = new_appuser.email\\n result_is_admin = new_appuser.is_admin\\n new_appuser.key.delete()\\n self.assertEqual('new_user@example.com', result_email)\\n self.assertFalse(result_is_admin)\",\n \"def test_api_can_create_a_post(self):\\n self.assertEqual(self.response.status_code, status.HTTP_201_CREATED)\",\n \"def test_supeuser_create_log(self):\\n user = SuperUserFactory.create()\\n self.request.user = user\\n user_logged_in.send(\\n sender=user.__class__,\\n request=self.request,\\n user=user,\\n )\\n\\n self.assertTrue(LogEntry.objects.get())\",\n \"def test_user_create(self):\\n user_count = User.objects.count()\\n user = User.objects.create_user(email='test@test.com', password='test')\\n self.assertTrue(User.objects.count() == user_count + 1)\\n self.assertFalse(user.is_staff)\\n self.assertFalse(user.is_superuser)\\n with self.assertRaises(ValueError, msg='The email must be provided'):\\n User.objects.create_user(email='', password='test')\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.6972671","0.6793335","0.67640114","0.672659","0.67262614","0.67136234","0.6670086","0.66526836","0.6628409","0.6612906","0.6513603","0.64985555","0.64849335","0.64679796","0.64426315","0.64425945","0.64192855","0.6411061","0.6403463","0.63438976","0.6342372","0.63403267","0.63307893","0.63176847","0.6308976","0.6300329","0.62955445","0.6293886","0.62927794","0.62927794","0.6289978","0.62880063","0.62873185","0.6268921","0.62666434","0.6235753","0.6225455","0.62173814","0.6216474","0.6204399","0.6200194","0.6197256","0.61961275","0.6182586","0.618121","0.6178661","0.61779845","0.6175161","0.61606675","0.6158293","0.61581075","0.61538666","0.61538666","0.61538666","0.61526924","0.61415714","0.6141561","0.61317986","0.61316407","0.612845","0.61222","0.6119584","0.61115074","0.6108199","0.6105428","0.6093262","0.60884","0.6080203","0.6078739","0.6075704","0.6071993","0.6064647","0.60545117","0.6052523","0.6051565","0.60292745","0.6028865","0.6022673","0.60087526","0.60079634","0.600778","0.6007607","0.6007156","0.5993227","0.5986034","0.59820217","0.59806496","0.59798384","0.59754926","0.59686923","0.59669286","0.5965425","0.59536403","0.5953542","0.59524506","0.59499556","0.5946872","0.5939615","0.5934928","0.5930723","0.59288687"],"string":"[\n \"0.6972671\",\n \"0.6793335\",\n \"0.67640114\",\n \"0.672659\",\n \"0.67262614\",\n \"0.67136234\",\n \"0.6670086\",\n \"0.66526836\",\n \"0.6628409\",\n \"0.6612906\",\n \"0.6513603\",\n \"0.64985555\",\n \"0.64849335\",\n \"0.64679796\",\n \"0.64426315\",\n \"0.64425945\",\n \"0.64192855\",\n \"0.6411061\",\n \"0.6403463\",\n \"0.63438976\",\n \"0.6342372\",\n \"0.63403267\",\n \"0.63307893\",\n \"0.63176847\",\n \"0.6308976\",\n \"0.6300329\",\n \"0.62955445\",\n \"0.6293886\",\n \"0.62927794\",\n \"0.62927794\",\n \"0.6289978\",\n \"0.62880063\",\n \"0.62873185\",\n \"0.6268921\",\n \"0.62666434\",\n \"0.6235753\",\n \"0.6225455\",\n \"0.62173814\",\n \"0.6216474\",\n \"0.6204399\",\n \"0.6200194\",\n \"0.6197256\",\n \"0.61961275\",\n \"0.6182586\",\n \"0.618121\",\n \"0.6178661\",\n \"0.61779845\",\n \"0.6175161\",\n \"0.61606675\",\n \"0.6158293\",\n \"0.61581075\",\n \"0.61538666\",\n \"0.61538666\",\n \"0.61538666\",\n \"0.61526924\",\n \"0.61415714\",\n \"0.6141561\",\n \"0.61317986\",\n \"0.61316407\",\n \"0.612845\",\n \"0.61222\",\n \"0.6119584\",\n \"0.61115074\",\n \"0.6108199\",\n \"0.6105428\",\n \"0.6093262\",\n \"0.60884\",\n \"0.6080203\",\n \"0.6078739\",\n \"0.6075704\",\n \"0.6071993\",\n \"0.6064647\",\n \"0.60545117\",\n \"0.6052523\",\n \"0.6051565\",\n \"0.60292745\",\n \"0.6028865\",\n \"0.6022673\",\n \"0.60087526\",\n \"0.60079634\",\n \"0.600778\",\n \"0.6007607\",\n \"0.6007156\",\n \"0.5993227\",\n \"0.5986034\",\n \"0.59820217\",\n \"0.59806496\",\n \"0.59798384\",\n \"0.59754926\",\n \"0.59686923\",\n \"0.59669286\",\n \"0.5965425\",\n \"0.59536403\",\n \"0.5953542\",\n \"0.59524506\",\n \"0.59499556\",\n \"0.5946872\",\n \"0.5939615\",\n \"0.5934928\",\n \"0.5930723\",\n \"0.59288687\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":86766,"cells":{"query":{"kind":"string","value":"Users need both add and edit. Add is not sufficient"},"document":{"kind":"string","value":"def test_only_add_perm(self):\n self.assertStatusCode(self.url, 403)"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def edit(self):\n\n pass","def user_can_edit(self, user):\n return user == self.owner","def allow_to_edit(user):\n return allow_to_edit_well(user)","def add(self, user: U) -> None:\n ...","def edit():","def home_edituser():\n\tpass","def can_edit(self, user):\n return self.author_id == user.id or user.is_staff","def edit(self, **kwargs):\n ...","def response_add(self, request, obj, post_url_continue=None):\n # We should allow further modification of the user just added i.e. the\n # 'Save' button should behave like the 'Save and continue editing'\n # button except in two scenarios:\n # * The user has pressed the 'Save and add another' button\n # * We are adding a user in a popup\n if '_addanother' not in request.POST and IS_POPUP_VAR not in request.POST:\n request.POST['_continue'] = 1\n return super(UserAdmin, self).response_add(request, obj,\n post_url_continue)","def has_add_permission(self, request):\r\n return False","def has_add_permission(self, request):\r\n return False","def has_add_permission(self, request):\n return request.user.is_superuser or super().has_add_permission(request)","def testAdd2(self):\n self.assertEquals(models.SUCCESS, self.users.add(\"userC\", \"password\"))\n self.assertEquals(models.SUCCESS, self.users.add(\"userD\", \"password\"))","def save_model(self, request, obj, form, change):\n if not change:\n obj.author = request.user\n super(EntryAdmin, self).save_model(request, obj, form, change)","def admins_add(request):\n username = request.params['add']\n try:\n accounts.make_admin(username)\n except accounts.NoSuchUserError:\n request.session.flash(\n _(\"User {username} doesn't exist.\".format(username=username)),\n \"error\")\n return admins_index(request)","def admin_edit_users():\n return user_management_handler(\"show_admin_edit_users\", \"new_users\", False)","def has_add_permission(self, request):\n return False","def has_add_permission(self, request):\n return False","def update_user():","def add_edit(self, edit):\n if edit not in self.edits:\n self.edits.append(edit)","def update_user():\n #TODO user update \n pass","def edit():\n database.ask(mode='single')\n F = database.check(single=True)\n if F and hasattr(F,'edit'):\n name = database[0]\n F.edit(name)","def modificationUsers(database):\n print(\"What do you want to do?\\n1. Insert a user\\n2.delete an user\\n3.Update an users\\n4. Quit\")\n choice=int(input(\"Your choice :\"))\n if choice==1:\n AddUser(database)\n elif choice==2:\n DelteUser(database)\n elif choice==3: \n updateUser(database)\n elif choice==4:\n return","def testAdd1(self):\n self.assertEquals(models.SUCCESS, self.users.add(\"userA\", \"password\"))","def has_add_permission(self, request):\n return self.has_generic_permission(request, \"add\")","def edit_show_user(user_id):\n edited_user = User.query.get_or_404(user_id)\n\n edited_user.first_name = request.form['first_name']\n edited_user.last_name = request.form['last_name']\n edited_user.image_url = request.form['image_url']\n\n db.session.add(edited_user)\n db.session.commit()\n\n return redirect('/')","def test_edit(test_case, widget):\n ensure_engine_exists()\n # Create schem\n Base.metadata.create_all(get_engine())\n # Create editing UI\n edit_ui = type(\"CustomEditUI\", (Ui_EditForm, PQSEditUI), {})\n ui, s, u = None, None, None\n # Switch test\n print(test_case)\n if test_case == \"add\":\n ui = edit_ui(User)\n elif test_case == \"edit-transient\":\n ui = edit_ui(User(email=\"transient@users.org\", number=1))\n else:\n s = SessionFactory()\n if test_case == \"edit-pending\":\n u = User(email=\"pending@users.org\", number=2)\n s.add(u)\n ui = edit_ui(u, s)\n elif test_case == \"edit-persistent\":\n u = User(email=\"persistent@users.org\", number=3,\n birthdate=datetime.date(1995, 9, 21))\n s.add(u)\n s.commit()\n ui = edit_ui(u, s)\n elif test_case == \"edit-persistent-wrong\":\n s.execute(\"INSERT INTO users (email, number, birthdate) VALUES (\" +\n \"\\\"persistent-wrongusers.org\\\", 4, \\\"2099-12-12\\\")\")\n s.commit()\n u = s.query(User).filter(\n User.email == \"persistent-wrongusers.org\").first()\n ui = edit_ui(u, s)\n # Create UI\n ui.setup_and_bind(widget, Ui_UserForm)\n return ui, s, u","def save_model(self, request, obj, form, change):\n if not change:\n obj.creator = request.user\n obj.save()","def on_model_change(self, form, model, is_created):\n if not current_user.is_active or not current_user.is_authenticated:\n abort(403)\n elif is_created:\n if not user_has_permission(current_user, 'can_create','updates'):\n abort(403)\n else:\n if not user_has_permission(current_user, 'can_edit','updates'):\n abort(403)","def edit_allowed(self):\n account = Account.current_user_account\n if account is None:\n return False\n return self.user_can_edit(account.user)","def dummy():\n\t\t\tself.edit = True","def user_edit(request):\n DEBUG = False\n\n if not has_permission('editUser', request.context, request):\n #print \"NOT has_permission !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!\"\n request.message = \"You do not have permissions to edit this user!\"\n raise HTTPForbidden\n\n # if no user_id in URL and not logged in, tell user to login\n\n try:\n user_id = request.matchdict['user_id']\n except KeyError, ke:\n #print ke\n return HTTPFound(location=request.route_url('not_found'))\n\n user = User.get_by_user_id(user_id)\n\n if user is None:\n msg = \"User was not founf in database.\"\n return HTTPFound(location=request.route_url('not_found'))\n\n form = Form(request, schema=UserSettingsSchema, obj=user)\n\n if 'form.submitted' in request.POST and not form.validate():\n # form didn't validate\n request.session.flash('Please check the form below for errors!')\n if DEBUG: # pragma: no cover\n print \"submitted but not validated!\"\n\n if 'form.submitted' in request.POST and form.validate():\n # ready for changing database entries!\n request.session.flash('form validated!')\n if DEBUG: # pragma: no cover\n print \"the form was submitted and validated.\"\n\n if form.data['surname'] != user.surname:\n if DEBUG: # pragma: no cover\n request.session.flash('surname was not same --> changing')\n print \"changing surname\"\n user.surname = form.data['surname']\n if form.data['lastname'] != user.lastname:\n if DEBUG: # pragma: no cover\n request.session.flash('lastname was not same --> changing')\n print \"changing lastname\"\n user.lastname = form.data['lastname']\n if form.data['email'] != user.email:\n request.session.flash('email was not same --> changing')\n user.email = form.data['email']\n if form.data['phone'] != user.phone:\n request.session.flash('phone was not same --> changing')\n user.phone = form.data['phone']\n if form.data['fax'] != user.fax:\n request.session.flash('fax was not same --> changing')\n user.fax = form.data['fax']\n if form.data['street'] != user.street:\n request.session.flash('street was not same --> changing')\n user.street = form.data['street']\n if form.data['number'] != user.number:\n request.session.flash('number was not same --> changing')\n user.number = form.data['number']\n if form.data['city'] != user.city:\n request.session.flash('city was not same --> changing')\n user.city = form.data['city']\n if form.data['postcode'] != user.postcode:\n request.session.flash('postcode was not same --> changing')\n user.postcode = form.data['postcode']\n if form.data['country'] != user.country:\n request.session.flash('country was not same --> changing')\n user.country = form.data['country']\n\n if DEBUG: # pragma: no cover\n print \"returning the form\"\n return {\n 'the_user_id': user_id,\n 'the_username': user.username,\n 'form': FormRenderer(form),\n }","def can_be_edited(self, user):\n return (self.is_public or user == self.owner or\n user in list(self.auth_users.all()))","def user(self):","def can_edit(self):\n return self._can_edit","def who_edits(self):\n\t\treturn self.editing","def edit_acl(request):\n\n def grant_access(acl, list_to_edit):\n \"\"\"Grants access to a page based on data in the POST.\n\n Args:\n acl: AccessControlList to be manipulated\n list_to_edit: string representing the list on the ACL to add users or\n groups to\n\n \"\"\"\n if request.POST[list_to_edit]:\n datastore_object = None\n if request.POST[list_to_edit].startswith('user'):\n datastore_object = models.UserProfile.load(request.POST[list_to_edit])\n else:\n datastore_object = models.UserGroup.get_by_id(\n int(request.POST[list_to_edit]))\n if datastore_object.key() not in acl.__getattribute__(list_to_edit):\n acl.__getattribute__(list_to_edit).append(datastore_object.key())\n\n def remove_access(acl, list_to_edit):\n \"\"\"Removes access to a page based on data in the POST.\n\n Args:\n acl: AccessControlList to be manipulated\n list_to_edit: string representing the list on the ACL to remove users or\n groups from\n\n \"\"\"\n post_key = '%s_remove_' % list_to_edit\n removal_keys = [k for k in request.POST.keys() if k.startswith(post_key)]\n for key in removal_keys:\n model_type = models.UserGroup\n if list_to_edit.startswith('user'):\n model_type = models.UserProfile\n key_id = int(key.replace(post_key, ''))\n datastore_object = model_type.get_by_id(key_id)\n acl.__getattribute__(list_to_edit).remove(datastore_object.key())\n\n page_id = request.POST['page_id']\n page = models.Page.get_by_id(int(page_id))\n\n if not page:\n return utility.page_not_found(request)\n if not page.user_can_write(request.profile):\n return utility.forbidden(request)\n\n acl = page.acl\n\n if page.inherits_acl():\n acl = acl.clone()\n acl.put()\n page.acl = acl\n page.put()\n\n acl.global_write = 'global_write' in request.POST\n acl.global_read = 'global_read' in request.POST\n\n for object_list in ['group_write', 'group_read', 'user_write', 'user_read']:\n grant_access(acl, object_list)\n remove_access(acl, object_list)\n\n acl.put()\n\n return utility.edit_updated_page(page_id, tab_name='security',\n message_id='msgChangesSaved')","def edit_person(self, pk):","def test_resource_user_resource_add_user_post(self):\n pass","def test_add_user(self):\n pass","def save():\n user = users.get_current_user()\n if user:\n new_app = Applic(parent=base_key)\n new_app.user = user.user_id()\n new_app.username = user.nickname()\n new_app.content = request.forms.get('content')\n new_app.title = request.forms.get('title') \n new_app.put()\n redirect('/')\n else:\n redirect('/')","def add_user():\n\n roles = Role.query.all()\n\n user_form = UserForm(request.form)\n user_form.roles.choices = [(i.name,i.name) for i in roles]\n\n if user_form.validate_on_submit():\n\n if not request.form['username'] or request.form['username'] == '' :\n flash(\"No null or empty values are allowed.\",\"warn\")\n return render_template('user/add_edit_user.html', title='Add User',add=True,\n user_form=user_form)\n if not request.form['email'] or request.form['email'] == '' :\n flash(\"No null or empty values are allowed.\",\"warn\")\n return render_template('user/add_edit_user.html', title='Add User',add=True,\n user_form=user_form)\n if not request.form['password'] or request.form['password'] == '' :\n flash(\"No null or empty values are allowed.\",\"warn\")\n return render_template('user/add_edit_user.html', title='Add User',add=True,\n user_form=user_form)\n if request.form['password'] != request.form['retype_password']:\n flash(\"Passwords are not the same!\",\"warn\")\n return render_template('user/add_edit_user.html', title='Add User',add=True,\n user_form=user_form)\n\n hashed_password = user_manager.hash_password(user_form.password.data)\n new_user = User(\n username=user_form.username.data,\n email=user_form.email.data,\n password=hashed_password,\n confirmed_at=datetime.datetime.utcnow(),\n is_enabled=user_form.is_enabled.data,\n first_name=user_form.first_name.data,\n last_name=user_form.last_name.data,\n locale=user_form.locale.data,\n timezone=user_form.timezone.data\n )\n\n # Si existe la lista de roles que hemos elegido se anadira al usuario\n if user_form.roles.data:\n for rol in roles:\n if rol.name in user_form.roles.data:\n new_user.roles.add(rol)\n try:\n correct = True\n db.session.add(new_user)\n db.session.commit()\n\n except Exception as e:\n # Catch anything unknown\n print(e)\n correct = False\n\n finally:\n if not correct:\n # Cleanup and show error\n db.session.rollback()\n flash('Error creating user, make sure username and email are unique','error')\n\n else:\n flash('Congratulations, you have created a new user!','success')\n return redirect(url_for('user_ksat.manage_user'))\n\n\n return render_template('user/add_edit_user.html', title='Add User',add=True,user_form=user_form)","def crud_user(request):\n if request.POST['action'] == 'EDIT':\n username = request.POST['username']\n tel = request.POST['tel']\n mobile = request.POST['mobile']\n office = request.POST['office']\n num = request.POST['num']\n user = IMPUser.objects.get(username = username)\n user.tel = tel\n user.mobile = mobile\n user.office = office\n user.num = num\n user.save()\n return redirect(urlresolvers.reverse(\"address_page\"))\n #print(request.POST['tel'])\n #username = request.POST['username']\n #password = request.POST['password']\n #password1 = request.POST['password1']\n #tel = request.POST['tel']\n #try:\n # #if password.equals(password1)\n # User.objects.all().get(username = username) \n # return render(request, \"account/sign_up.html\", context={\"errmsg\":\"Duplicated User!\"})\n #except:\n # print(\"NO USER!\")\n # IMPUser.objects.create_user(username = username, password = password, tel=tel)\n return redirect(urlresolvers.reverse(\"sign_in\"))","def add(request):\n\n context = {}\n forms = TodoForm()\n if request.method == \"POST\":\n forms = TodoForm(request.POST or None)\n if forms.is_valid():\n # If form is valid then create the todo\n forms = forms.save()\n # Update the user of new created user to be the logged in user\n forms.user = request.user\n # Save updated form\n forms.save()\n # Redirect to the home page\n return redirect(\"index\")\n \n context['form'] = forms\n return render(request, \"todos/add.html\", context)","def test_add_or_update_case(self):\n pass","def grant_access(acl, list_to_edit):\n if request.POST[list_to_edit]:\n datastore_object = None\n if request.POST[list_to_edit].startswith('user'):\n datastore_object = models.UserProfile.load(request.POST[list_to_edit])\n else:\n datastore_object = models.UserGroup.get_by_id(\n int(request.POST[list_to_edit]))\n if datastore_object.key() not in acl.__getattribute__(list_to_edit):\n acl.__getattribute__(list_to_edit).append(datastore_object.key())","def update_db_with_user_edits(user_id):\n user = User.query.get_or_404(user_id)\n user.first_name = request.form['first_name']\n user.last_name = request.form['last_name']\n user.img_url = request.form['img_url']\n\n db.session.add(user)\n db.session.commit()\n\n return redirect('/users')","def post(self, request, *args, **kwargs):\n if self.determine_perms(request, *args, **kwargs)['can_edit']:\n username = request.data.get(\"username\")\n try:\n user = User.objects.get(username=username)\n except ObjectDoesNotExist:\n return HttpResponse(\n content=\"User {0} does not exist.\".format(username),\n status=status.HTTP_400_BAD_REQUEST)\n\n collection = Collection.objects.get(id=int(kwargs['pk']))\n collection.add_curator(user)\n return HttpResponse(\n content=\"Curator added to collection.\",\n content_type=\"application/json\",\n status=status.HTTP_200_OK)\n else:\n raise PermissionDenied","def edit_user():\n userid = request.form[\"userid\"]\n email = request.form[\"email\"]\n fname = request.form[\"fname\"]\n lname = request.form[\"lname\"]\n macaddress = request.form[\"macaddress\"]\n role = request.form[\"role\"]\n\n print(userid, \" | \",email,\" | \", fname,\" | \", lname, \" | \",macaddress,\" | \", role)\n\n user = User.query.get(userid)\n user.email = email\n user.fname = fname\n user.lname = lname\n user.macaddress = macaddress\n user.role = role\n\n # commit the new add.\n db.session.commit()\n\n return userSchema.jsonify(user)","def can_edit_user(user):\n\tu = current_user._get_current_object()\n\treturn u==user or u.is_admin()","def modify_user():\n\n id_hash = request.args.get('id')\n\n if not id_hash or id_hash=='':\n flash('There is no id.','error')\n return redirect(url_for('user_ksat.manage_user'))\n\n modify_user = User.query.filter_by(id=hashids_hasher.decode(id_hash)).first()\n\n if not modify_user:\n flash('There is no user to be changed.','error')\n return redirect(url_for('user_ksat.manage_user'))\n\n roles = Role.query.all()\n\n user_form = UserForm(\n username=modify_user.username,\n email=modify_user.email,\n password=modify_user.password,\n retype_password=modify_user.password,\n is_enabled=modify_user.is_enabled,\n first_name=modify_user.first_name,\n last_name=modify_user.last_name,\n locale=modify_user.locale,\n timezone=modify_user.timezone\n )\n # Metemos los valores actuales de los roles y los roles que no se anadieron anteriormente\n # para que puedan ser seleccionados\n user_form.roles.choices = [(i.name,i.name) for i in roles]\n user_form.roles.data = [i for i in modify_user.role_names]\n\n if user_form.validate_on_submit():\n\n if not request.form['username'] or request.form['username'] == '' :\n flash(\"No null or empty values are allowed.\",\"warn\")\n return render_template('user/add_edit_user.html', title='Modify User',\n user_form=user_form)\n if not request.form['email'] or request.form['email'] == '' :\n flash(\"No null or empty values are allowed.\",\"warn\")\n return render_template('user/add_edit_user.html', title='Modify User',\n user_form=user_form)\n if not request.form['password'] or request.form['password'] == '' :\n flash(\"No null or empty values are allowed.\",\"warn\")\n return render_template('user/add_edit_user.html', title='Modify User',\n user_form=user_form)\n if request.form['password'] != request.form['retype_password']:\n flash(\"Passwords are not the same!\",\"warn\")\n return render_template('user/add_edit_user.html', title='Modify User',\n user_form=user_form)\n\n hashed_password = user_manager.hash_password(request.form['password'])\n\n modify_user.username=request.form['username']\n modify_user.email=request.form['email']\n modify_user.password=hashed_password\n modify_user.confirmed_at=datetime.datetime.utcnow()\n\n if 'is_enabled' in request.form:\n modify_user.is_enabled=True\n else:\n modify_user.is_enabled=False\n\n modify_user.first_name=request.form['first_name']\n modify_user.last_name=request.form['last_name']\n modify_user.locale=request.form['locale']\n modify_user.timezone=request.form['timezone']\n\n # Si existe la lista de roles que hemos elegido se anadira al usuario\n if request.form.getlist('roles'):\n for rol in roles:\n if rol.name in request.form.getlist('roles'):\n modify_user.roles.add(rol)\n else:\n modify_user.roles = set()\n\n try:\n correct = True\n db.session.commit()\n\n except Exception as e:\n # Catch anything unknown\n print(e)\n correct = False\n\n finally:\n if not correct:\n # Cleanup and show error\n db.session.rollback()\n flash('Error modifying user, make sure username and email are unique','error')\n else:\n flash('Congratulations, you have modified a user!','success')\n return redirect(url_for('user_ksat.manage_user'))\n\n\n return render_template('user/add_edit_user.html', title='Modify User',user_form=user_form)","def save_model(self, request, obj, form, change):\n if not change:\n obj.author = request.user\n obj.save()","def add_admin(user_id=None):\r\n try:\r\n if user_id:\r\n user = db.session.query(model.user.User)\\\r\n .get(user_id)\r\n require.user.update(user)\r\n if user:\r\n user.admin = True\r\n db.session.commit()\r\n return redirect(url_for(\".users\"))\r\n else:\r\n msg = \"User not found\"\r\n return format_error(msg, 404)\r\n except Exception as e: # pragma: no cover\r\n current_app.logger.error(e)\r\n return abort(500)","def add():\n user_id = session[\"user_id\"]\n if not user_id:\n session.clear()\n redirect(\"/\")\n database = db.db_connect()\n user = database.execute(\"SELECT * FROM Users where id = ?\", (user_id,)).fetchone()\n if not user:\n session.clear()\n redirect(\"/\")\n\n if request.method == \"POST\":\n title = request.form.get(\"title\")\n deadline = request.form.get(\"deadline\")\n importance = request.form.get(\"importance\")\n try:\n print((int(user_id), title, deadline, importance))\n database = db.db_connect()\n database.execute(\"INSERT INTO Tasks (author, description, deadline, importance) VALUES\"\n \"(?, ?, ?, ?)\", (int(user_id), title, deadline, importance))\n database.commit()\n resp = redirect(\"/menu/\")\n except Exception as e:\n resp = render_template(\"add_item.html\", warn=True, warnmessage=e)\n return resp\n return render_template(\"add_item.html\", warn=False, warnmessage=\"\")","def has_add_permission(self, request, obj=None):\n return False","def has_add_permission(self, request, obj=None):\n return False","def save_model(self, request, obj, form, change):\r\n if change:\r\n obj.updated_by = request.user\r\n obj.save()","def test_add_duplicate(self, api):\n self.builder.add_user(api.get_user())\n resp = api.add_user(api.get_user())\n self.builder.del_user(api.get_user())\n assert resp.status_code == 304","def test_write(self):\n userEdited = self.env['res.users'].browse(\n self.user.id).write({'user_profile_id': self.user_profile2.id})\n self.assertEqual(userEdited, True)","def has_add_permission(self, request, instance=None):\n return False","def add_user_form():\n\n return render_template(\"add_user.html\", headline=\"Add New Blogly User\")","def update(self, request, *args, **kwargs):\n return super(UserViewSet, self).update(request, *args, **kwargs)","def on_model_change(self, form, model, is_created):\n if not current_user.is_active or not current_user.is_authenticated:\n abort(403)\n elif is_created:\n if not user_has_permission(current_user, 'can_create','admins'):\n abort(403)\n else:\n if not user_has_permission(current_user, 'can_edit','admins'):\n abort(403)","async def edit(self, *, name, roles: Optional[Any] = ..., reason: Optional[Any] = ...):\n ...","def get(self, request):\n self.context[\"form\"] = AddUserForm()\n return render(request, \"dbkeeper/add.html\", self.context)","def test_add_permission(self):\r\n self.assertFalse(self.creator_admin.has_add_permission(self.request))","def test_resource_user_resource_add_users_post(self):\n pass","def update(self, user: U) -> None:\n ...","def can_user_edit(self, user):\n\n return user.is_authenticated and (\n user.has_role('admin') or\n unicode(self.user_id) == user.get_id()\n )","def on_model_change(self, form, model, is_created):\n if not current_user.is_active or not current_user.is_authenticated:\n abort(403)\n elif is_created:\n if not user_has_permission(current_user, 'can_create','specialties'):\n abort(403)\n else:\n if not user_has_permission(current_user, 'can_edit','specialties'):\n abort(403)","def action_add(request, employee_id=None):\n if employee_id:\n employee = Employee.objects.get(pk=employee_id)\n current_employee = Employee.objects.get(user__pk=request.user.pk)\n if not current_employee.isEnsoUser() and current_employee.company.pk != employee.company.pk:\n raise PermissionDenied()\n else:\n employee = request.user.employee_user.first()\n if request.method == 'POST':\n form = ActionForm(request.POST)\n if form.is_valid():\n form.save(request.user, employee)\n return HttpResponseRedirect('/action/%d' % form.instance.pk)\n else:\n form = ActionForm()\n return TemplateResponse(\n request,\n 'mus/action_edit.html',\n dict(\n form=form\n )\n )","def add_admin(self, project_id, user_id):\n current_user = request.environ.get('repoze.who.identity')['user']\n user = controller_globals._get_user_from_email(current_user.email)\n\n # make sure we're actually the project lead\n if not self._current_user_leads_review(project_id):\n return \"<font color='red'>tsk, tsk. you're not the project lead, %s.</font>\" % user.fullname\n\n new_leader = Session.query(model.User).filter_by(id=user_id).one()\n review = self._get_review_from_id(project_id)\n review.leaders.append(new_leader)\n Session.add(review)\n Session.commit()\n\n redirect(url(controller=\"review\", action=\"admin\", project_id=project_id))","def save_model(self, request, obj, form, change):\n obj.created_by = request.user\n\n super(\n IngredientAdmin,\n self\n ).save_model(\n request,\n obj,\n form,\n change,\n )","def edit(self,item=None):\r\n raise AbstractError\r\n return False","def can_edit(self, user):\n if user.has_perm('funding.make_application_decisions'):\n # Funding manager can update things later, if required\n return True\n # Applicants can only edit the application before the final review step\n if self.status in ('S', 'U'):\n if self.applicant == user:\n return True\n return False","def add_user(self, attrs):\n pass","def test_not_creator_cannot_update_tab(self):\n\n logged_user = utils.create_user_and_authenticate(self)\n self.group.users.add(logged_user)\n expected_url = reverse('group_view', args=(self.group.pk,))\n\n utils.test_cannot_access(self, self.url, expected_url, self.data)","def test_user_update_request(self):\n pass","def update_user(id):\n pass","def test_plusrecords_on_edit(self):\n self.go200('minus_plus_upload')\n self.formfile('minus_plus_upload', 'file', AUDIO_FILE)\n self.submit200()\n self.go200('minus_upload')\n self.formfile('minus_upload', 'file', AUDIO_FILE)\n self.submit200()\n self.go200('minus_plus_upload')\n self.formfile('minus_plus_upload', 'file', AUDIO_FILE)\n self.submit200()\n self.assert_equal(MinusPlusRecord.objects.count(), 2)\n self.go200('minus_edit', [self.superuser, 1])\n self.fv('minus_upload', 'author', \"brams\")\n self.submit200()\n self.find('Плюс')\n self.assert_equal(MinusPlusRecord.objects.count(), 1)","def test_api_user_put(self):\n pass","def on_model_change(self, form, model, is_created):\n if not current_user.is_active or not current_user.is_authenticated:\n abort(403)\n elif is_created:\n if not user_has_permission(current_user, 'can_create','bigfirms'):\n abort(403)\n else:\n if not user_has_permission(current_user, 'can_edit','bigfirms'):\n abort(403)","def add_admin():\n email = Config.SITE_ADMIN\n password = input('Enter Admin Password >>> ')\n name = input('Enter Display Name >>> ')\n\n user = User(email, password, name)\n user.confirmed = True\n db.session.add(user)\n db.session.commit()\n print(\"%s has been added to the system as Admin\" % user.username)","def adminedit(object, id):\n\n db = get_db()\n\n if request.method == \"POST\":\n execute_string = 'UPDATE ' + object.title() + \" SET \"\n\n if object == 'post':\n execute_string += 'title = \"' + request.form['title'] + '\", content = \"' + request.form['content'] + '\", authorId = ' + request.form[\"authorid\"] + ', categoryId = ' + request.form[\"categoryid\"] + ''\n elif object == 'author':\n execute_string += 'name = \"' + request.form['name'] + '\"'\n elif object == 'category':\n execute_string += 'name = \"' + request.form['name'] + '\", description = \"' + request.form['description'] + '\"'\n\n execute_string += \" WHERE id = \" + str(id)\n db.execute(execute_string)\n db.commit()\n return redirect(url_for(\"adminview\", object=object))\n\n execute_string = \"SELECT * FROM \" + object.title() + \" WHERE id = \" + str(id)\n item = db.execute(execute_string).fetchone()\n\n return render_template(\"new.html\", object=object, item=item)","def _edit_user(self):\n users = fileIO.load_json(\"users.json\")\n print(\"The list of users is as follows: \")\n for i in users:\n print(users[i][\"name\"])\n #List specific user's settings and get user id\n userID = self._list_user_settings(users)\n #Loop until valid option given\n option = False\n while not option:\n option = input(\"Please enter the setting you would like to change: \")\n if option not in users[userID]:\n option = False\n print(\"That setting is not valid.\")\n #Get input for new setting\n args = input(\"Please enter what you would like to change that setting to: \")\n #Output\n command = \"edit_user {0} {1} {2}\\r\\n\".format(userID, option, args)\n return(command)","def on_model_change(self, form, model, is_created):\n if not current_user.is_active or not current_user.is_authenticated:\n abort(403)\n elif is_created:\n if not user_has_permission(current_user, 'can_create','occupations'):\n abort(403)\n else:\n if not user_has_permission(current_user, 'can_edit','occupations'):\n abort(403)","def test_handle_add_not_admin(self):\n test_user = User(\"userid\")\n test_user.github_username = \"githubuser\"\n team = Team(\"BRS\", \"brs\", \"web\")\n team.github_team_id = \"githubid\"\n self.db.retrieve.return_value = test_user\n self.db.query.return_value = [team]\n self.assertTupleEqual(self.testcommand.handle(\"team add brs ID\", user),\n (self.testcommand.permission_error, 200))\n self.db.store.assert_not_called()\n self.gh.add_team_member.assert_not_called()","def edit_register(id):\n add_employee = False\n\n employee = Employee.query.get_or_404(id) #from table\n print('----update 1----')\n form = UpdateForm(obj=employee) #if not 404\n print('----update 2----')\n if form.validate_on_submit():\n employee.email = email=form.email.data\n employee.username=form.username.data\n employee.glad_id=form.glad_id.data\n employee.tel_no=form.tel_no.data\n employee.role_id=form.role_id.data\n employee.password=form.password.data\n\n # UPDATE employee to the database\n print('----update----',employee.role_id)\n db.session.commit()\n flash('You have successfully updated! ')\n\n # # redirect to the login page\n # return redirect(url_for('auth.login'))\n\n # load registration template\n return render_template('auth/register.html', form=form, title='Update')","def save_model(self, request, obj, form, change):\n obj.propietario = request.user\n obj.save()","def test_not_creator_cannot_update(self):\n\n logged_user = utils.create_user_and_authenticate(self)\n self.group.users.add(logged_user)\n expected_url = reverse('my_groups_view')\n\n utils.test_cannot_access(self, self.url,\n expected_url=expected_url,\n data=self.data)","def has_change_permission(self, request, obj=None):\n has_class_permission = super(EntryAdmin, self).has_change_permission(request, obj)\n if not has_class_permission:\n return False\n if obj is not None and not request.user.is_superuser and request.user.id != obj.author.id:\n return False\n return True","def on_model_change(self, form, model, is_created):\n if not current_user.is_active or not current_user.is_authenticated:\n abort(403)\n elif is_created:\n if not user_has_permission(current_user, 'can_create','mn_activity'):\n abort(403)\n else:\n if not user_has_permission(current_user, 'can_edit','mn_activity'):\n abort(403)","def test_handle_edit_not_admin(self):\n test_user = User(\"userid\")\n team = Team(\"BRS\", \"brs\", \"brS\")\n self.db.retrieve.return_value = test_user\n self.db.query.return_value = [team]\n with self.app.app_context():\n self.assertTupleEqual(self.testcommand.handle(\"team \"\n \"edit brs\", user),\n (self.testcommand.permission_error, 200))\n self.db.store.assert_not_called()","def checkPermissionEditUsers(self):\n user = self.REQUEST.AUTHENTICATED_USER\n\n return bool(user.has_permission(eionet_edit_users, self))","def on_model_change(self, form, model, is_created):\n if not current_user.is_active or not current_user.is_authenticated:\n abort(403)\n elif is_created:\n if not user_has_permission(current_user, 'can_create','subspecialties'):\n abort(403)\n else:\n if not user_has_permission(current_user, 'can_edit','subspecialties'):\n abort(403)","def add_new_user():\n return render_template('new.html')","def save_user(self):\n\n User.user_list.append(self)","def edit_user(user_id):\n\n user = User.query.get_or_404(user_id)\n \n first = request.form['first_name']\n last = request.form['last_name']\n image = request.form['image_url']\n \n if not first or not last:\n flash(\"Please enter first and last name.\")\n return redirect(f\"/users/{user.id}/edit\")\n \n user.first_name = first\n user.last_name = last\n \n if image:\n user.image_url = image\n\n db.session.add(user)\n db.session.commit()\n\n return redirect(\"/users\")","def user():","def view_users_edit(self):\n\n logged_in = authenticated_userid(self.request)\n form = Form(self.request, schema=UsersEditSchema,\n state=State(request=self.request))\n\n search_results = []\n message = u\"\"\n search = u\"\"\n\n if form.validate():\n search = self.request.params['search']\n\n # Loop through all the users and create dict of groups\n for user in self.context:\n if search.lower() in self.context[user].username.lower():\n search_results.append(self.context[user])\n \n # TODO: do we really need 'save in' -check\n if 'save' in self.request.params.keys() and \\\n self.request.params['save'] == 'Save':\n message = msg['saved']\n # Filter checkbox-parameters from request\n cbs = [p for p in self.request.params.keys()\n if u'checkbox' in p]\n users = [self.request.params[p] for p in self.request.params.keys()\n if u'user' == p]\n\n # new policy for groups\n updated = {}\n\n # check all the checkbox-parameters and\n # parse them\n for cb in cbs:\n username = cb.split(':')[1]\n try:\n updated[username]\n except KeyError:\n updated[username] = []\n updated[username] += [self.request.params[cb]]\n \n groups_tool = get_resource('groups', self.request)\n\n # Init users as empty first, then update with checkbox-data\n # TODO: add 'u:user' group?\n for user in users:\n groups_tool.flush(user)\n groups_tool.add_policy(updated)\n\n def has_group(group, user, request):\n \"\"\" Check if the user belongs to the group \"\"\"\n return group_names[group] in groupfinder(user.username, request)\n\n def sorted_gnames():\n \"\"\" Sort list of keys to make sure they are in right order \"\"\"\n return sorted(group_names.keys())\n\n return {\n 'page': self.context,\n 'logged_in': logged_in,\n 'form': FormRenderer(form),\n 'search_results': search_results,\n 'message': message,\n 'group_names': group_names,\n 'has_group': has_group,\n 'sorted_gnames': sorted_gnames(),\n 'result_count': len(search_results),\n 'search_term': search\n }","def api_can_update(self):\n person1 = User(name=\"test person1\",\n bio=\"test person1\",\n contact_info=\"test person\")\n person2 = User(name=\"test person2\",\n bio=\"test person2\",\n contact_info=\"test person\")\n person1.save()\n person2.save()\n # update_person = self.client.put(\n # reverse('details', kwargs={'pk': person1.id}),\n # person2, format='json'\n # )\n self.assertEqual(self.client.get('/api/guru'), 200)"],"string":"[\n \"def edit(self):\\n\\n pass\",\n \"def user_can_edit(self, user):\\n return user == self.owner\",\n \"def allow_to_edit(user):\\n return allow_to_edit_well(user)\",\n \"def add(self, user: U) -> None:\\n ...\",\n \"def edit():\",\n \"def home_edituser():\\n\\tpass\",\n \"def can_edit(self, user):\\n return self.author_id == user.id or user.is_staff\",\n \"def edit(self, **kwargs):\\n ...\",\n \"def response_add(self, request, obj, post_url_continue=None):\\n # We should allow further modification of the user just added i.e. the\\n # 'Save' button should behave like the 'Save and continue editing'\\n # button except in two scenarios:\\n # * The user has pressed the 'Save and add another' button\\n # * We are adding a user in a popup\\n if '_addanother' not in request.POST and IS_POPUP_VAR not in request.POST:\\n request.POST['_continue'] = 1\\n return super(UserAdmin, self).response_add(request, obj,\\n post_url_continue)\",\n \"def has_add_permission(self, request):\\r\\n return False\",\n \"def has_add_permission(self, request):\\r\\n return False\",\n \"def has_add_permission(self, request):\\n return request.user.is_superuser or super().has_add_permission(request)\",\n \"def testAdd2(self):\\n self.assertEquals(models.SUCCESS, self.users.add(\\\"userC\\\", \\\"password\\\"))\\n self.assertEquals(models.SUCCESS, self.users.add(\\\"userD\\\", \\\"password\\\"))\",\n \"def save_model(self, request, obj, form, change):\\n if not change:\\n obj.author = request.user\\n super(EntryAdmin, self).save_model(request, obj, form, change)\",\n \"def admins_add(request):\\n username = request.params['add']\\n try:\\n accounts.make_admin(username)\\n except accounts.NoSuchUserError:\\n request.session.flash(\\n _(\\\"User {username} doesn't exist.\\\".format(username=username)),\\n \\\"error\\\")\\n return admins_index(request)\",\n \"def admin_edit_users():\\n return user_management_handler(\\\"show_admin_edit_users\\\", \\\"new_users\\\", False)\",\n \"def has_add_permission(self, request):\\n return False\",\n \"def has_add_permission(self, request):\\n return False\",\n \"def update_user():\",\n \"def add_edit(self, edit):\\n if edit not in self.edits:\\n self.edits.append(edit)\",\n \"def update_user():\\n #TODO user update \\n pass\",\n \"def edit():\\n database.ask(mode='single')\\n F = database.check(single=True)\\n if F and hasattr(F,'edit'):\\n name = database[0]\\n F.edit(name)\",\n \"def modificationUsers(database):\\n print(\\\"What do you want to do?\\\\n1. Insert a user\\\\n2.delete an user\\\\n3.Update an users\\\\n4. Quit\\\")\\n choice=int(input(\\\"Your choice :\\\"))\\n if choice==1:\\n AddUser(database)\\n elif choice==2:\\n DelteUser(database)\\n elif choice==3: \\n updateUser(database)\\n elif choice==4:\\n return\",\n \"def testAdd1(self):\\n self.assertEquals(models.SUCCESS, self.users.add(\\\"userA\\\", \\\"password\\\"))\",\n \"def has_add_permission(self, request):\\n return self.has_generic_permission(request, \\\"add\\\")\",\n \"def edit_show_user(user_id):\\n edited_user = User.query.get_or_404(user_id)\\n\\n edited_user.first_name = request.form['first_name']\\n edited_user.last_name = request.form['last_name']\\n edited_user.image_url = request.form['image_url']\\n\\n db.session.add(edited_user)\\n db.session.commit()\\n\\n return redirect('/')\",\n \"def test_edit(test_case, widget):\\n ensure_engine_exists()\\n # Create schem\\n Base.metadata.create_all(get_engine())\\n # Create editing UI\\n edit_ui = type(\\\"CustomEditUI\\\", (Ui_EditForm, PQSEditUI), {})\\n ui, s, u = None, None, None\\n # Switch test\\n print(test_case)\\n if test_case == \\\"add\\\":\\n ui = edit_ui(User)\\n elif test_case == \\\"edit-transient\\\":\\n ui = edit_ui(User(email=\\\"transient@users.org\\\", number=1))\\n else:\\n s = SessionFactory()\\n if test_case == \\\"edit-pending\\\":\\n u = User(email=\\\"pending@users.org\\\", number=2)\\n s.add(u)\\n ui = edit_ui(u, s)\\n elif test_case == \\\"edit-persistent\\\":\\n u = User(email=\\\"persistent@users.org\\\", number=3,\\n birthdate=datetime.date(1995, 9, 21))\\n s.add(u)\\n s.commit()\\n ui = edit_ui(u, s)\\n elif test_case == \\\"edit-persistent-wrong\\\":\\n s.execute(\\\"INSERT INTO users (email, number, birthdate) VALUES (\\\" +\\n \\\"\\\\\\\"persistent-wrongusers.org\\\\\\\", 4, \\\\\\\"2099-12-12\\\\\\\")\\\")\\n s.commit()\\n u = s.query(User).filter(\\n User.email == \\\"persistent-wrongusers.org\\\").first()\\n ui = edit_ui(u, s)\\n # Create UI\\n ui.setup_and_bind(widget, Ui_UserForm)\\n return ui, s, u\",\n \"def save_model(self, request, obj, form, change):\\n if not change:\\n obj.creator = request.user\\n obj.save()\",\n \"def on_model_change(self, form, model, is_created):\\n if not current_user.is_active or not current_user.is_authenticated:\\n abort(403)\\n elif is_created:\\n if not user_has_permission(current_user, 'can_create','updates'):\\n abort(403)\\n else:\\n if not user_has_permission(current_user, 'can_edit','updates'):\\n abort(403)\",\n \"def edit_allowed(self):\\n account = Account.current_user_account\\n if account is None:\\n return False\\n return self.user_can_edit(account.user)\",\n \"def dummy():\\n\\t\\t\\tself.edit = True\",\n \"def user_edit(request):\\n DEBUG = False\\n\\n if not has_permission('editUser', request.context, request):\\n #print \\\"NOT has_permission !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!\\\"\\n request.message = \\\"You do not have permissions to edit this user!\\\"\\n raise HTTPForbidden\\n\\n # if no user_id in URL and not logged in, tell user to login\\n\\n try:\\n user_id = request.matchdict['user_id']\\n except KeyError, ke:\\n #print ke\\n return HTTPFound(location=request.route_url('not_found'))\\n\\n user = User.get_by_user_id(user_id)\\n\\n if user is None:\\n msg = \\\"User was not founf in database.\\\"\\n return HTTPFound(location=request.route_url('not_found'))\\n\\n form = Form(request, schema=UserSettingsSchema, obj=user)\\n\\n if 'form.submitted' in request.POST and not form.validate():\\n # form didn't validate\\n request.session.flash('Please check the form below for errors!')\\n if DEBUG: # pragma: no cover\\n print \\\"submitted but not validated!\\\"\\n\\n if 'form.submitted' in request.POST and form.validate():\\n # ready for changing database entries!\\n request.session.flash('form validated!')\\n if DEBUG: # pragma: no cover\\n print \\\"the form was submitted and validated.\\\"\\n\\n if form.data['surname'] != user.surname:\\n if DEBUG: # pragma: no cover\\n request.session.flash('surname was not same --> changing')\\n print \\\"changing surname\\\"\\n user.surname = form.data['surname']\\n if form.data['lastname'] != user.lastname:\\n if DEBUG: # pragma: no cover\\n request.session.flash('lastname was not same --> changing')\\n print \\\"changing lastname\\\"\\n user.lastname = form.data['lastname']\\n if form.data['email'] != user.email:\\n request.session.flash('email was not same --> changing')\\n user.email = form.data['email']\\n if form.data['phone'] != user.phone:\\n request.session.flash('phone was not same --> changing')\\n user.phone = form.data['phone']\\n if form.data['fax'] != user.fax:\\n request.session.flash('fax was not same --> changing')\\n user.fax = form.data['fax']\\n if form.data['street'] != user.street:\\n request.session.flash('street was not same --> changing')\\n user.street = form.data['street']\\n if form.data['number'] != user.number:\\n request.session.flash('number was not same --> changing')\\n user.number = form.data['number']\\n if form.data['city'] != user.city:\\n request.session.flash('city was not same --> changing')\\n user.city = form.data['city']\\n if form.data['postcode'] != user.postcode:\\n request.session.flash('postcode was not same --> changing')\\n user.postcode = form.data['postcode']\\n if form.data['country'] != user.country:\\n request.session.flash('country was not same --> changing')\\n user.country = form.data['country']\\n\\n if DEBUG: # pragma: no cover\\n print \\\"returning the form\\\"\\n return {\\n 'the_user_id': user_id,\\n 'the_username': user.username,\\n 'form': FormRenderer(form),\\n }\",\n \"def can_be_edited(self, user):\\n return (self.is_public or user == self.owner or\\n user in list(self.auth_users.all()))\",\n \"def user(self):\",\n \"def can_edit(self):\\n return self._can_edit\",\n \"def who_edits(self):\\n\\t\\treturn self.editing\",\n \"def edit_acl(request):\\n\\n def grant_access(acl, list_to_edit):\\n \\\"\\\"\\\"Grants access to a page based on data in the POST.\\n\\n Args:\\n acl: AccessControlList to be manipulated\\n list_to_edit: string representing the list on the ACL to add users or\\n groups to\\n\\n \\\"\\\"\\\"\\n if request.POST[list_to_edit]:\\n datastore_object = None\\n if request.POST[list_to_edit].startswith('user'):\\n datastore_object = models.UserProfile.load(request.POST[list_to_edit])\\n else:\\n datastore_object = models.UserGroup.get_by_id(\\n int(request.POST[list_to_edit]))\\n if datastore_object.key() not in acl.__getattribute__(list_to_edit):\\n acl.__getattribute__(list_to_edit).append(datastore_object.key())\\n\\n def remove_access(acl, list_to_edit):\\n \\\"\\\"\\\"Removes access to a page based on data in the POST.\\n\\n Args:\\n acl: AccessControlList to be manipulated\\n list_to_edit: string representing the list on the ACL to remove users or\\n groups from\\n\\n \\\"\\\"\\\"\\n post_key = '%s_remove_' % list_to_edit\\n removal_keys = [k for k in request.POST.keys() if k.startswith(post_key)]\\n for key in removal_keys:\\n model_type = models.UserGroup\\n if list_to_edit.startswith('user'):\\n model_type = models.UserProfile\\n key_id = int(key.replace(post_key, ''))\\n datastore_object = model_type.get_by_id(key_id)\\n acl.__getattribute__(list_to_edit).remove(datastore_object.key())\\n\\n page_id = request.POST['page_id']\\n page = models.Page.get_by_id(int(page_id))\\n\\n if not page:\\n return utility.page_not_found(request)\\n if not page.user_can_write(request.profile):\\n return utility.forbidden(request)\\n\\n acl = page.acl\\n\\n if page.inherits_acl():\\n acl = acl.clone()\\n acl.put()\\n page.acl = acl\\n page.put()\\n\\n acl.global_write = 'global_write' in request.POST\\n acl.global_read = 'global_read' in request.POST\\n\\n for object_list in ['group_write', 'group_read', 'user_write', 'user_read']:\\n grant_access(acl, object_list)\\n remove_access(acl, object_list)\\n\\n acl.put()\\n\\n return utility.edit_updated_page(page_id, tab_name='security',\\n message_id='msgChangesSaved')\",\n \"def edit_person(self, pk):\",\n \"def test_resource_user_resource_add_user_post(self):\\n pass\",\n \"def test_add_user(self):\\n pass\",\n \"def save():\\n user = users.get_current_user()\\n if user:\\n new_app = Applic(parent=base_key)\\n new_app.user = user.user_id()\\n new_app.username = user.nickname()\\n new_app.content = request.forms.get('content')\\n new_app.title = request.forms.get('title') \\n new_app.put()\\n redirect('/')\\n else:\\n redirect('/')\",\n \"def add_user():\\n\\n roles = Role.query.all()\\n\\n user_form = UserForm(request.form)\\n user_form.roles.choices = [(i.name,i.name) for i in roles]\\n\\n if user_form.validate_on_submit():\\n\\n if not request.form['username'] or request.form['username'] == '' :\\n flash(\\\"No null or empty values are allowed.\\\",\\\"warn\\\")\\n return render_template('user/add_edit_user.html', title='Add User',add=True,\\n user_form=user_form)\\n if not request.form['email'] or request.form['email'] == '' :\\n flash(\\\"No null or empty values are allowed.\\\",\\\"warn\\\")\\n return render_template('user/add_edit_user.html', title='Add User',add=True,\\n user_form=user_form)\\n if not request.form['password'] or request.form['password'] == '' :\\n flash(\\\"No null or empty values are allowed.\\\",\\\"warn\\\")\\n return render_template('user/add_edit_user.html', title='Add User',add=True,\\n user_form=user_form)\\n if request.form['password'] != request.form['retype_password']:\\n flash(\\\"Passwords are not the same!\\\",\\\"warn\\\")\\n return render_template('user/add_edit_user.html', title='Add User',add=True,\\n user_form=user_form)\\n\\n hashed_password = user_manager.hash_password(user_form.password.data)\\n new_user = User(\\n username=user_form.username.data,\\n email=user_form.email.data,\\n password=hashed_password,\\n confirmed_at=datetime.datetime.utcnow(),\\n is_enabled=user_form.is_enabled.data,\\n first_name=user_form.first_name.data,\\n last_name=user_form.last_name.data,\\n locale=user_form.locale.data,\\n timezone=user_form.timezone.data\\n )\\n\\n # Si existe la lista de roles que hemos elegido se anadira al usuario\\n if user_form.roles.data:\\n for rol in roles:\\n if rol.name in user_form.roles.data:\\n new_user.roles.add(rol)\\n try:\\n correct = True\\n db.session.add(new_user)\\n db.session.commit()\\n\\n except Exception as e:\\n # Catch anything unknown\\n print(e)\\n correct = False\\n\\n finally:\\n if not correct:\\n # Cleanup and show error\\n db.session.rollback()\\n flash('Error creating user, make sure username and email are unique','error')\\n\\n else:\\n flash('Congratulations, you have created a new user!','success')\\n return redirect(url_for('user_ksat.manage_user'))\\n\\n\\n return render_template('user/add_edit_user.html', title='Add User',add=True,user_form=user_form)\",\n \"def crud_user(request):\\n if request.POST['action'] == 'EDIT':\\n username = request.POST['username']\\n tel = request.POST['tel']\\n mobile = request.POST['mobile']\\n office = request.POST['office']\\n num = request.POST['num']\\n user = IMPUser.objects.get(username = username)\\n user.tel = tel\\n user.mobile = mobile\\n user.office = office\\n user.num = num\\n user.save()\\n return redirect(urlresolvers.reverse(\\\"address_page\\\"))\\n #print(request.POST['tel'])\\n #username = request.POST['username']\\n #password = request.POST['password']\\n #password1 = request.POST['password1']\\n #tel = request.POST['tel']\\n #try:\\n # #if password.equals(password1)\\n # User.objects.all().get(username = username) \\n # return render(request, \\\"account/sign_up.html\\\", context={\\\"errmsg\\\":\\\"Duplicated User!\\\"})\\n #except:\\n # print(\\\"NO USER!\\\")\\n # IMPUser.objects.create_user(username = username, password = password, tel=tel)\\n return redirect(urlresolvers.reverse(\\\"sign_in\\\"))\",\n \"def add(request):\\n\\n context = {}\\n forms = TodoForm()\\n if request.method == \\\"POST\\\":\\n forms = TodoForm(request.POST or None)\\n if forms.is_valid():\\n # If form is valid then create the todo\\n forms = forms.save()\\n # Update the user of new created user to be the logged in user\\n forms.user = request.user\\n # Save updated form\\n forms.save()\\n # Redirect to the home page\\n return redirect(\\\"index\\\")\\n \\n context['form'] = forms\\n return render(request, \\\"todos/add.html\\\", context)\",\n \"def test_add_or_update_case(self):\\n pass\",\n \"def grant_access(acl, list_to_edit):\\n if request.POST[list_to_edit]:\\n datastore_object = None\\n if request.POST[list_to_edit].startswith('user'):\\n datastore_object = models.UserProfile.load(request.POST[list_to_edit])\\n else:\\n datastore_object = models.UserGroup.get_by_id(\\n int(request.POST[list_to_edit]))\\n if datastore_object.key() not in acl.__getattribute__(list_to_edit):\\n acl.__getattribute__(list_to_edit).append(datastore_object.key())\",\n \"def update_db_with_user_edits(user_id):\\n user = User.query.get_or_404(user_id)\\n user.first_name = request.form['first_name']\\n user.last_name = request.form['last_name']\\n user.img_url = request.form['img_url']\\n\\n db.session.add(user)\\n db.session.commit()\\n\\n return redirect('/users')\",\n \"def post(self, request, *args, **kwargs):\\n if self.determine_perms(request, *args, **kwargs)['can_edit']:\\n username = request.data.get(\\\"username\\\")\\n try:\\n user = User.objects.get(username=username)\\n except ObjectDoesNotExist:\\n return HttpResponse(\\n content=\\\"User {0} does not exist.\\\".format(username),\\n status=status.HTTP_400_BAD_REQUEST)\\n\\n collection = Collection.objects.get(id=int(kwargs['pk']))\\n collection.add_curator(user)\\n return HttpResponse(\\n content=\\\"Curator added to collection.\\\",\\n content_type=\\\"application/json\\\",\\n status=status.HTTP_200_OK)\\n else:\\n raise PermissionDenied\",\n \"def edit_user():\\n userid = request.form[\\\"userid\\\"]\\n email = request.form[\\\"email\\\"]\\n fname = request.form[\\\"fname\\\"]\\n lname = request.form[\\\"lname\\\"]\\n macaddress = request.form[\\\"macaddress\\\"]\\n role = request.form[\\\"role\\\"]\\n\\n print(userid, \\\" | \\\",email,\\\" | \\\", fname,\\\" | \\\", lname, \\\" | \\\",macaddress,\\\" | \\\", role)\\n\\n user = User.query.get(userid)\\n user.email = email\\n user.fname = fname\\n user.lname = lname\\n user.macaddress = macaddress\\n user.role = role\\n\\n # commit the new add.\\n db.session.commit()\\n\\n return userSchema.jsonify(user)\",\n \"def can_edit_user(user):\\n\\tu = current_user._get_current_object()\\n\\treturn u==user or u.is_admin()\",\n \"def modify_user():\\n\\n id_hash = request.args.get('id')\\n\\n if not id_hash or id_hash=='':\\n flash('There is no id.','error')\\n return redirect(url_for('user_ksat.manage_user'))\\n\\n modify_user = User.query.filter_by(id=hashids_hasher.decode(id_hash)).first()\\n\\n if not modify_user:\\n flash('There is no user to be changed.','error')\\n return redirect(url_for('user_ksat.manage_user'))\\n\\n roles = Role.query.all()\\n\\n user_form = UserForm(\\n username=modify_user.username,\\n email=modify_user.email,\\n password=modify_user.password,\\n retype_password=modify_user.password,\\n is_enabled=modify_user.is_enabled,\\n first_name=modify_user.first_name,\\n last_name=modify_user.last_name,\\n locale=modify_user.locale,\\n timezone=modify_user.timezone\\n )\\n # Metemos los valores actuales de los roles y los roles que no se anadieron anteriormente\\n # para que puedan ser seleccionados\\n user_form.roles.choices = [(i.name,i.name) for i in roles]\\n user_form.roles.data = [i for i in modify_user.role_names]\\n\\n if user_form.validate_on_submit():\\n\\n if not request.form['username'] or request.form['username'] == '' :\\n flash(\\\"No null or empty values are allowed.\\\",\\\"warn\\\")\\n return render_template('user/add_edit_user.html', title='Modify User',\\n user_form=user_form)\\n if not request.form['email'] or request.form['email'] == '' :\\n flash(\\\"No null or empty values are allowed.\\\",\\\"warn\\\")\\n return render_template('user/add_edit_user.html', title='Modify User',\\n user_form=user_form)\\n if not request.form['password'] or request.form['password'] == '' :\\n flash(\\\"No null or empty values are allowed.\\\",\\\"warn\\\")\\n return render_template('user/add_edit_user.html', title='Modify User',\\n user_form=user_form)\\n if request.form['password'] != request.form['retype_password']:\\n flash(\\\"Passwords are not the same!\\\",\\\"warn\\\")\\n return render_template('user/add_edit_user.html', title='Modify User',\\n user_form=user_form)\\n\\n hashed_password = user_manager.hash_password(request.form['password'])\\n\\n modify_user.username=request.form['username']\\n modify_user.email=request.form['email']\\n modify_user.password=hashed_password\\n modify_user.confirmed_at=datetime.datetime.utcnow()\\n\\n if 'is_enabled' in request.form:\\n modify_user.is_enabled=True\\n else:\\n modify_user.is_enabled=False\\n\\n modify_user.first_name=request.form['first_name']\\n modify_user.last_name=request.form['last_name']\\n modify_user.locale=request.form['locale']\\n modify_user.timezone=request.form['timezone']\\n\\n # Si existe la lista de roles que hemos elegido se anadira al usuario\\n if request.form.getlist('roles'):\\n for rol in roles:\\n if rol.name in request.form.getlist('roles'):\\n modify_user.roles.add(rol)\\n else:\\n modify_user.roles = set()\\n\\n try:\\n correct = True\\n db.session.commit()\\n\\n except Exception as e:\\n # Catch anything unknown\\n print(e)\\n correct = False\\n\\n finally:\\n if not correct:\\n # Cleanup and show error\\n db.session.rollback()\\n flash('Error modifying user, make sure username and email are unique','error')\\n else:\\n flash('Congratulations, you have modified a user!','success')\\n return redirect(url_for('user_ksat.manage_user'))\\n\\n\\n return render_template('user/add_edit_user.html', title='Modify User',user_form=user_form)\",\n \"def save_model(self, request, obj, form, change):\\n if not change:\\n obj.author = request.user\\n obj.save()\",\n \"def add_admin(user_id=None):\\r\\n try:\\r\\n if user_id:\\r\\n user = db.session.query(model.user.User)\\\\\\r\\n .get(user_id)\\r\\n require.user.update(user)\\r\\n if user:\\r\\n user.admin = True\\r\\n db.session.commit()\\r\\n return redirect(url_for(\\\".users\\\"))\\r\\n else:\\r\\n msg = \\\"User not found\\\"\\r\\n return format_error(msg, 404)\\r\\n except Exception as e: # pragma: no cover\\r\\n current_app.logger.error(e)\\r\\n return abort(500)\",\n \"def add():\\n user_id = session[\\\"user_id\\\"]\\n if not user_id:\\n session.clear()\\n redirect(\\\"/\\\")\\n database = db.db_connect()\\n user = database.execute(\\\"SELECT * FROM Users where id = ?\\\", (user_id,)).fetchone()\\n if not user:\\n session.clear()\\n redirect(\\\"/\\\")\\n\\n if request.method == \\\"POST\\\":\\n title = request.form.get(\\\"title\\\")\\n deadline = request.form.get(\\\"deadline\\\")\\n importance = request.form.get(\\\"importance\\\")\\n try:\\n print((int(user_id), title, deadline, importance))\\n database = db.db_connect()\\n database.execute(\\\"INSERT INTO Tasks (author, description, deadline, importance) VALUES\\\"\\n \\\"(?, ?, ?, ?)\\\", (int(user_id), title, deadline, importance))\\n database.commit()\\n resp = redirect(\\\"/menu/\\\")\\n except Exception as e:\\n resp = render_template(\\\"add_item.html\\\", warn=True, warnmessage=e)\\n return resp\\n return render_template(\\\"add_item.html\\\", warn=False, warnmessage=\\\"\\\")\",\n \"def has_add_permission(self, request, obj=None):\\n return False\",\n \"def has_add_permission(self, request, obj=None):\\n return False\",\n \"def save_model(self, request, obj, form, change):\\r\\n if change:\\r\\n obj.updated_by = request.user\\r\\n obj.save()\",\n \"def test_add_duplicate(self, api):\\n self.builder.add_user(api.get_user())\\n resp = api.add_user(api.get_user())\\n self.builder.del_user(api.get_user())\\n assert resp.status_code == 304\",\n \"def test_write(self):\\n userEdited = self.env['res.users'].browse(\\n self.user.id).write({'user_profile_id': self.user_profile2.id})\\n self.assertEqual(userEdited, True)\",\n \"def has_add_permission(self, request, instance=None):\\n return False\",\n \"def add_user_form():\\n\\n return render_template(\\\"add_user.html\\\", headline=\\\"Add New Blogly User\\\")\",\n \"def update(self, request, *args, **kwargs):\\n return super(UserViewSet, self).update(request, *args, **kwargs)\",\n \"def on_model_change(self, form, model, is_created):\\n if not current_user.is_active or not current_user.is_authenticated:\\n abort(403)\\n elif is_created:\\n if not user_has_permission(current_user, 'can_create','admins'):\\n abort(403)\\n else:\\n if not user_has_permission(current_user, 'can_edit','admins'):\\n abort(403)\",\n \"async def edit(self, *, name, roles: Optional[Any] = ..., reason: Optional[Any] = ...):\\n ...\",\n \"def get(self, request):\\n self.context[\\\"form\\\"] = AddUserForm()\\n return render(request, \\\"dbkeeper/add.html\\\", self.context)\",\n \"def test_add_permission(self):\\r\\n self.assertFalse(self.creator_admin.has_add_permission(self.request))\",\n \"def test_resource_user_resource_add_users_post(self):\\n pass\",\n \"def update(self, user: U) -> None:\\n ...\",\n \"def can_user_edit(self, user):\\n\\n return user.is_authenticated and (\\n user.has_role('admin') or\\n unicode(self.user_id) == user.get_id()\\n )\",\n \"def on_model_change(self, form, model, is_created):\\n if not current_user.is_active or not current_user.is_authenticated:\\n abort(403)\\n elif is_created:\\n if not user_has_permission(current_user, 'can_create','specialties'):\\n abort(403)\\n else:\\n if not user_has_permission(current_user, 'can_edit','specialties'):\\n abort(403)\",\n \"def action_add(request, employee_id=None):\\n if employee_id:\\n employee = Employee.objects.get(pk=employee_id)\\n current_employee = Employee.objects.get(user__pk=request.user.pk)\\n if not current_employee.isEnsoUser() and current_employee.company.pk != employee.company.pk:\\n raise PermissionDenied()\\n else:\\n employee = request.user.employee_user.first()\\n if request.method == 'POST':\\n form = ActionForm(request.POST)\\n if form.is_valid():\\n form.save(request.user, employee)\\n return HttpResponseRedirect('/action/%d' % form.instance.pk)\\n else:\\n form = ActionForm()\\n return TemplateResponse(\\n request,\\n 'mus/action_edit.html',\\n dict(\\n form=form\\n )\\n )\",\n \"def add_admin(self, project_id, user_id):\\n current_user = request.environ.get('repoze.who.identity')['user']\\n user = controller_globals._get_user_from_email(current_user.email)\\n\\n # make sure we're actually the project lead\\n if not self._current_user_leads_review(project_id):\\n return \\\"<font color='red'>tsk, tsk. you're not the project lead, %s.</font>\\\" % user.fullname\\n\\n new_leader = Session.query(model.User).filter_by(id=user_id).one()\\n review = self._get_review_from_id(project_id)\\n review.leaders.append(new_leader)\\n Session.add(review)\\n Session.commit()\\n\\n redirect(url(controller=\\\"review\\\", action=\\\"admin\\\", project_id=project_id))\",\n \"def save_model(self, request, obj, form, change):\\n obj.created_by = request.user\\n\\n super(\\n IngredientAdmin,\\n self\\n ).save_model(\\n request,\\n obj,\\n form,\\n change,\\n )\",\n \"def edit(self,item=None):\\r\\n raise AbstractError\\r\\n return False\",\n \"def can_edit(self, user):\\n if user.has_perm('funding.make_application_decisions'):\\n # Funding manager can update things later, if required\\n return True\\n # Applicants can only edit the application before the final review step\\n if self.status in ('S', 'U'):\\n if self.applicant == user:\\n return True\\n return False\",\n \"def add_user(self, attrs):\\n pass\",\n \"def test_not_creator_cannot_update_tab(self):\\n\\n logged_user = utils.create_user_and_authenticate(self)\\n self.group.users.add(logged_user)\\n expected_url = reverse('group_view', args=(self.group.pk,))\\n\\n utils.test_cannot_access(self, self.url, expected_url, self.data)\",\n \"def test_user_update_request(self):\\n pass\",\n \"def update_user(id):\\n pass\",\n \"def test_plusrecords_on_edit(self):\\n self.go200('minus_plus_upload')\\n self.formfile('minus_plus_upload', 'file', AUDIO_FILE)\\n self.submit200()\\n self.go200('minus_upload')\\n self.formfile('minus_upload', 'file', AUDIO_FILE)\\n self.submit200()\\n self.go200('minus_plus_upload')\\n self.formfile('minus_plus_upload', 'file', AUDIO_FILE)\\n self.submit200()\\n self.assert_equal(MinusPlusRecord.objects.count(), 2)\\n self.go200('minus_edit', [self.superuser, 1])\\n self.fv('minus_upload', 'author', \\\"brams\\\")\\n self.submit200()\\n self.find('Плюс')\\n self.assert_equal(MinusPlusRecord.objects.count(), 1)\",\n \"def test_api_user_put(self):\\n pass\",\n \"def on_model_change(self, form, model, is_created):\\n if not current_user.is_active or not current_user.is_authenticated:\\n abort(403)\\n elif is_created:\\n if not user_has_permission(current_user, 'can_create','bigfirms'):\\n abort(403)\\n else:\\n if not user_has_permission(current_user, 'can_edit','bigfirms'):\\n abort(403)\",\n \"def add_admin():\\n email = Config.SITE_ADMIN\\n password = input('Enter Admin Password >>> ')\\n name = input('Enter Display Name >>> ')\\n\\n user = User(email, password, name)\\n user.confirmed = True\\n db.session.add(user)\\n db.session.commit()\\n print(\\\"%s has been added to the system as Admin\\\" % user.username)\",\n \"def adminedit(object, id):\\n\\n db = get_db()\\n\\n if request.method == \\\"POST\\\":\\n execute_string = 'UPDATE ' + object.title() + \\\" SET \\\"\\n\\n if object == 'post':\\n execute_string += 'title = \\\"' + request.form['title'] + '\\\", content = \\\"' + request.form['content'] + '\\\", authorId = ' + request.form[\\\"authorid\\\"] + ', categoryId = ' + request.form[\\\"categoryid\\\"] + ''\\n elif object == 'author':\\n execute_string += 'name = \\\"' + request.form['name'] + '\\\"'\\n elif object == 'category':\\n execute_string += 'name = \\\"' + request.form['name'] + '\\\", description = \\\"' + request.form['description'] + '\\\"'\\n\\n execute_string += \\\" WHERE id = \\\" + str(id)\\n db.execute(execute_string)\\n db.commit()\\n return redirect(url_for(\\\"adminview\\\", object=object))\\n\\n execute_string = \\\"SELECT * FROM \\\" + object.title() + \\\" WHERE id = \\\" + str(id)\\n item = db.execute(execute_string).fetchone()\\n\\n return render_template(\\\"new.html\\\", object=object, item=item)\",\n \"def _edit_user(self):\\n users = fileIO.load_json(\\\"users.json\\\")\\n print(\\\"The list of users is as follows: \\\")\\n for i in users:\\n print(users[i][\\\"name\\\"])\\n #List specific user's settings and get user id\\n userID = self._list_user_settings(users)\\n #Loop until valid option given\\n option = False\\n while not option:\\n option = input(\\\"Please enter the setting you would like to change: \\\")\\n if option not in users[userID]:\\n option = False\\n print(\\\"That setting is not valid.\\\")\\n #Get input for new setting\\n args = input(\\\"Please enter what you would like to change that setting to: \\\")\\n #Output\\n command = \\\"edit_user {0} {1} {2}\\\\r\\\\n\\\".format(userID, option, args)\\n return(command)\",\n \"def on_model_change(self, form, model, is_created):\\n if not current_user.is_active or not current_user.is_authenticated:\\n abort(403)\\n elif is_created:\\n if not user_has_permission(current_user, 'can_create','occupations'):\\n abort(403)\\n else:\\n if not user_has_permission(current_user, 'can_edit','occupations'):\\n abort(403)\",\n \"def test_handle_add_not_admin(self):\\n test_user = User(\\\"userid\\\")\\n test_user.github_username = \\\"githubuser\\\"\\n team = Team(\\\"BRS\\\", \\\"brs\\\", \\\"web\\\")\\n team.github_team_id = \\\"githubid\\\"\\n self.db.retrieve.return_value = test_user\\n self.db.query.return_value = [team]\\n self.assertTupleEqual(self.testcommand.handle(\\\"team add brs ID\\\", user),\\n (self.testcommand.permission_error, 200))\\n self.db.store.assert_not_called()\\n self.gh.add_team_member.assert_not_called()\",\n \"def edit_register(id):\\n add_employee = False\\n\\n employee = Employee.query.get_or_404(id) #from table\\n print('----update 1----')\\n form = UpdateForm(obj=employee) #if not 404\\n print('----update 2----')\\n if form.validate_on_submit():\\n employee.email = email=form.email.data\\n employee.username=form.username.data\\n employee.glad_id=form.glad_id.data\\n employee.tel_no=form.tel_no.data\\n employee.role_id=form.role_id.data\\n employee.password=form.password.data\\n\\n # UPDATE employee to the database\\n print('----update----',employee.role_id)\\n db.session.commit()\\n flash('You have successfully updated! ')\\n\\n # # redirect to the login page\\n # return redirect(url_for('auth.login'))\\n\\n # load registration template\\n return render_template('auth/register.html', form=form, title='Update')\",\n \"def save_model(self, request, obj, form, change):\\n obj.propietario = request.user\\n obj.save()\",\n \"def test_not_creator_cannot_update(self):\\n\\n logged_user = utils.create_user_and_authenticate(self)\\n self.group.users.add(logged_user)\\n expected_url = reverse('my_groups_view')\\n\\n utils.test_cannot_access(self, self.url,\\n expected_url=expected_url,\\n data=self.data)\",\n \"def has_change_permission(self, request, obj=None):\\n has_class_permission = super(EntryAdmin, self).has_change_permission(request, obj)\\n if not has_class_permission:\\n return False\\n if obj is not None and not request.user.is_superuser and request.user.id != obj.author.id:\\n return False\\n return True\",\n \"def on_model_change(self, form, model, is_created):\\n if not current_user.is_active or not current_user.is_authenticated:\\n abort(403)\\n elif is_created:\\n if not user_has_permission(current_user, 'can_create','mn_activity'):\\n abort(403)\\n else:\\n if not user_has_permission(current_user, 'can_edit','mn_activity'):\\n abort(403)\",\n \"def test_handle_edit_not_admin(self):\\n test_user = User(\\\"userid\\\")\\n team = Team(\\\"BRS\\\", \\\"brs\\\", \\\"brS\\\")\\n self.db.retrieve.return_value = test_user\\n self.db.query.return_value = [team]\\n with self.app.app_context():\\n self.assertTupleEqual(self.testcommand.handle(\\\"team \\\"\\n \\\"edit brs\\\", user),\\n (self.testcommand.permission_error, 200))\\n self.db.store.assert_not_called()\",\n \"def checkPermissionEditUsers(self):\\n user = self.REQUEST.AUTHENTICATED_USER\\n\\n return bool(user.has_permission(eionet_edit_users, self))\",\n \"def on_model_change(self, form, model, is_created):\\n if not current_user.is_active or not current_user.is_authenticated:\\n abort(403)\\n elif is_created:\\n if not user_has_permission(current_user, 'can_create','subspecialties'):\\n abort(403)\\n else:\\n if not user_has_permission(current_user, 'can_edit','subspecialties'):\\n abort(403)\",\n \"def add_new_user():\\n return render_template('new.html')\",\n \"def save_user(self):\\n\\n User.user_list.append(self)\",\n \"def edit_user(user_id):\\n\\n user = User.query.get_or_404(user_id)\\n \\n first = request.form['first_name']\\n last = request.form['last_name']\\n image = request.form['image_url']\\n \\n if not first or not last:\\n flash(\\\"Please enter first and last name.\\\")\\n return redirect(f\\\"/users/{user.id}/edit\\\")\\n \\n user.first_name = first\\n user.last_name = last\\n \\n if image:\\n user.image_url = image\\n\\n db.session.add(user)\\n db.session.commit()\\n\\n return redirect(\\\"/users\\\")\",\n \"def user():\",\n \"def view_users_edit(self):\\n\\n logged_in = authenticated_userid(self.request)\\n form = Form(self.request, schema=UsersEditSchema,\\n state=State(request=self.request))\\n\\n search_results = []\\n message = u\\\"\\\"\\n search = u\\\"\\\"\\n\\n if form.validate():\\n search = self.request.params['search']\\n\\n # Loop through all the users and create dict of groups\\n for user in self.context:\\n if search.lower() in self.context[user].username.lower():\\n search_results.append(self.context[user])\\n \\n # TODO: do we really need 'save in' -check\\n if 'save' in self.request.params.keys() and \\\\\\n self.request.params['save'] == 'Save':\\n message = msg['saved']\\n # Filter checkbox-parameters from request\\n cbs = [p for p in self.request.params.keys()\\n if u'checkbox' in p]\\n users = [self.request.params[p] for p in self.request.params.keys()\\n if u'user' == p]\\n\\n # new policy for groups\\n updated = {}\\n\\n # check all the checkbox-parameters and\\n # parse them\\n for cb in cbs:\\n username = cb.split(':')[1]\\n try:\\n updated[username]\\n except KeyError:\\n updated[username] = []\\n updated[username] += [self.request.params[cb]]\\n \\n groups_tool = get_resource('groups', self.request)\\n\\n # Init users as empty first, then update with checkbox-data\\n # TODO: add 'u:user' group?\\n for user in users:\\n groups_tool.flush(user)\\n groups_tool.add_policy(updated)\\n\\n def has_group(group, user, request):\\n \\\"\\\"\\\" Check if the user belongs to the group \\\"\\\"\\\"\\n return group_names[group] in groupfinder(user.username, request)\\n\\n def sorted_gnames():\\n \\\"\\\"\\\" Sort list of keys to make sure they are in right order \\\"\\\"\\\"\\n return sorted(group_names.keys())\\n\\n return {\\n 'page': self.context,\\n 'logged_in': logged_in,\\n 'form': FormRenderer(form),\\n 'search_results': search_results,\\n 'message': message,\\n 'group_names': group_names,\\n 'has_group': has_group,\\n 'sorted_gnames': sorted_gnames(),\\n 'result_count': len(search_results),\\n 'search_term': search\\n }\",\n \"def api_can_update(self):\\n person1 = User(name=\\\"test person1\\\",\\n bio=\\\"test person1\\\",\\n contact_info=\\\"test person\\\")\\n person2 = User(name=\\\"test person2\\\",\\n bio=\\\"test person2\\\",\\n contact_info=\\\"test person\\\")\\n person1.save()\\n person2.save()\\n # update_person = self.client.put(\\n # reverse('details', kwargs={'pk': person1.id}),\\n # person2, format='json'\\n # )\\n self.assertEqual(self.client.get('/api/guru'), 200)\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.6993943","0.67083204","0.66459835","0.66431636","0.64818656","0.6458078","0.6394788","0.6369395","0.6352475","0.63279235","0.63279235","0.62939936","0.6235992","0.6187183","0.6171549","0.6162502","0.6141428","0.6141428","0.6140597","0.6133903","0.61237514","0.607267","0.6067827","0.60425895","0.603063","0.60289973","0.60207087","0.60134405","0.60132116","0.60009915","0.59998775","0.5994138","0.5990054","0.5973819","0.5965479","0.5951931","0.5950997","0.5936745","0.5920317","0.5919809","0.5904486","0.5901484","0.5901179","0.5897305","0.5896884","0.5890307","0.5890054","0.5889178","0.5878166","0.58716375","0.584319","0.58297694","0.58256525","0.5819559","0.5817291","0.5817291","0.58158123","0.58151174","0.5800848","0.57994837","0.57833034","0.5782405","0.57795626","0.57723665","0.57669884","0.5762446","0.57593626","0.5735882","0.5730471","0.57290924","0.5726004","0.57246166","0.5714952","0.5714923","0.57100004","0.5708189","0.5703532","0.57002807","0.5693005","0.5689883","0.5689327","0.5687236","0.5684807","0.56795216","0.56705344","0.56690145","0.56687176","0.5665243","0.5665167","0.5663608","0.5656102","0.5653591","0.5648838","0.5632586","0.56299746","0.5628349","0.56272304","0.5619752","0.5611543","0.5609455","0.55967283"],"string":"[\n \"0.6993943\",\n \"0.67083204\",\n \"0.66459835\",\n \"0.66431636\",\n \"0.64818656\",\n \"0.6458078\",\n \"0.6394788\",\n \"0.6369395\",\n \"0.6352475\",\n \"0.63279235\",\n \"0.63279235\",\n \"0.62939936\",\n \"0.6235992\",\n \"0.6187183\",\n \"0.6171549\",\n \"0.6162502\",\n \"0.6141428\",\n \"0.6141428\",\n \"0.6140597\",\n \"0.6133903\",\n \"0.61237514\",\n \"0.607267\",\n \"0.6067827\",\n \"0.60425895\",\n \"0.603063\",\n \"0.60289973\",\n \"0.60207087\",\n \"0.60134405\",\n \"0.60132116\",\n \"0.60009915\",\n \"0.59998775\",\n \"0.5994138\",\n \"0.5990054\",\n \"0.5973819\",\n \"0.5965479\",\n \"0.5951931\",\n \"0.5950997\",\n \"0.5936745\",\n \"0.5920317\",\n \"0.5919809\",\n \"0.5904486\",\n \"0.5901484\",\n \"0.5901179\",\n \"0.5897305\",\n \"0.5896884\",\n \"0.5890307\",\n \"0.5890054\",\n \"0.5889178\",\n \"0.5878166\",\n \"0.58716375\",\n \"0.584319\",\n \"0.58297694\",\n \"0.58256525\",\n \"0.5819559\",\n \"0.5817291\",\n \"0.5817291\",\n \"0.58158123\",\n \"0.58151174\",\n \"0.5800848\",\n \"0.57994837\",\n \"0.57833034\",\n \"0.5782405\",\n \"0.57795626\",\n \"0.57723665\",\n \"0.57669884\",\n \"0.5762446\",\n \"0.57593626\",\n \"0.5735882\",\n \"0.5730471\",\n \"0.57290924\",\n \"0.5726004\",\n \"0.57246166\",\n \"0.5714952\",\n \"0.5714923\",\n \"0.57100004\",\n \"0.5708189\",\n \"0.5703532\",\n \"0.57002807\",\n \"0.5693005\",\n \"0.5689883\",\n \"0.5689327\",\n \"0.5687236\",\n \"0.5684807\",\n \"0.56795216\",\n \"0.56705344\",\n \"0.56690145\",\n \"0.56687176\",\n \"0.5665243\",\n \"0.5665167\",\n \"0.5663608\",\n \"0.5656102\",\n \"0.5653591\",\n \"0.5648838\",\n \"0.5632586\",\n \"0.56299746\",\n \"0.5628349\",\n \"0.56272304\",\n \"0.5619752\",\n \"0.5611543\",\n \"0.5609455\",\n \"0.55967283\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":86767,"cells":{"query":{"kind":"string","value":"Users need both add and edit. Edit is not sufficient"},"document":{"kind":"string","value":"def test_only_edit_perm(self):\n self.assertStatusCode(self.url, 403)"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def edit(self):\n\n pass","def edit():","def edit(self, **kwargs):\n ...","def allow_to_edit(user):\n return allow_to_edit_well(user)","def user_can_edit(self, user):\n return user == self.owner","def home_edituser():\n\tpass","def can_edit(self, user):\n return self.author_id == user.id or user.is_staff","def edit():\n database.ask(mode='single')\n F = database.check(single=True)\n if F and hasattr(F,'edit'):\n name = database[0]\n F.edit(name)","def edit_person(self, pk):","def can_edit(self):\n return self._can_edit","def dummy():\n\t\t\tself.edit = True","def admin_edit_users():\n return user_management_handler(\"show_admin_edit_users\", \"new_users\", False)","def add_edit(self, edit):\n if edit not in self.edits:\n self.edits.append(edit)","def save_model(self, request, obj, form, change):\n if not change:\n obj.author = request.user\n super(EntryAdmin, self).save_model(request, obj, form, change)","def test_edit(test_case, widget):\n ensure_engine_exists()\n # Create schem\n Base.metadata.create_all(get_engine())\n # Create editing UI\n edit_ui = type(\"CustomEditUI\", (Ui_EditForm, PQSEditUI), {})\n ui, s, u = None, None, None\n # Switch test\n print(test_case)\n if test_case == \"add\":\n ui = edit_ui(User)\n elif test_case == \"edit-transient\":\n ui = edit_ui(User(email=\"transient@users.org\", number=1))\n else:\n s = SessionFactory()\n if test_case == \"edit-pending\":\n u = User(email=\"pending@users.org\", number=2)\n s.add(u)\n ui = edit_ui(u, s)\n elif test_case == \"edit-persistent\":\n u = User(email=\"persistent@users.org\", number=3,\n birthdate=datetime.date(1995, 9, 21))\n s.add(u)\n s.commit()\n ui = edit_ui(u, s)\n elif test_case == \"edit-persistent-wrong\":\n s.execute(\"INSERT INTO users (email, number, birthdate) VALUES (\" +\n \"\\\"persistent-wrongusers.org\\\", 4, \\\"2099-12-12\\\")\")\n s.commit()\n u = s.query(User).filter(\n User.email == \"persistent-wrongusers.org\").first()\n ui = edit_ui(u, s)\n # Create UI\n ui.setup_and_bind(widget, Ui_UserForm)\n return ui, s, u","def edit_allowed(self):\n account = Account.current_user_account\n if account is None:\n return False\n return self.user_can_edit(account.user)","def who_edits(self):\n\t\treturn self.editing","def edit_show_user(user_id):\n edited_user = User.query.get_or_404(user_id)\n\n edited_user.first_name = request.form['first_name']\n edited_user.last_name = request.form['last_name']\n edited_user.image_url = request.form['image_url']\n\n db.session.add(edited_user)\n db.session.commit()\n\n return redirect('/')","def user_edit(request):\n DEBUG = False\n\n if not has_permission('editUser', request.context, request):\n #print \"NOT has_permission !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!\"\n request.message = \"You do not have permissions to edit this user!\"\n raise HTTPForbidden\n\n # if no user_id in URL and not logged in, tell user to login\n\n try:\n user_id = request.matchdict['user_id']\n except KeyError, ke:\n #print ke\n return HTTPFound(location=request.route_url('not_found'))\n\n user = User.get_by_user_id(user_id)\n\n if user is None:\n msg = \"User was not founf in database.\"\n return HTTPFound(location=request.route_url('not_found'))\n\n form = Form(request, schema=UserSettingsSchema, obj=user)\n\n if 'form.submitted' in request.POST and not form.validate():\n # form didn't validate\n request.session.flash('Please check the form below for errors!')\n if DEBUG: # pragma: no cover\n print \"submitted but not validated!\"\n\n if 'form.submitted' in request.POST and form.validate():\n # ready for changing database entries!\n request.session.flash('form validated!')\n if DEBUG: # pragma: no cover\n print \"the form was submitted and validated.\"\n\n if form.data['surname'] != user.surname:\n if DEBUG: # pragma: no cover\n request.session.flash('surname was not same --> changing')\n print \"changing surname\"\n user.surname = form.data['surname']\n if form.data['lastname'] != user.lastname:\n if DEBUG: # pragma: no cover\n request.session.flash('lastname was not same --> changing')\n print \"changing lastname\"\n user.lastname = form.data['lastname']\n if form.data['email'] != user.email:\n request.session.flash('email was not same --> changing')\n user.email = form.data['email']\n if form.data['phone'] != user.phone:\n request.session.flash('phone was not same --> changing')\n user.phone = form.data['phone']\n if form.data['fax'] != user.fax:\n request.session.flash('fax was not same --> changing')\n user.fax = form.data['fax']\n if form.data['street'] != user.street:\n request.session.flash('street was not same --> changing')\n user.street = form.data['street']\n if form.data['number'] != user.number:\n request.session.flash('number was not same --> changing')\n user.number = form.data['number']\n if form.data['city'] != user.city:\n request.session.flash('city was not same --> changing')\n user.city = form.data['city']\n if form.data['postcode'] != user.postcode:\n request.session.flash('postcode was not same --> changing')\n user.postcode = form.data['postcode']\n if form.data['country'] != user.country:\n request.session.flash('country was not same --> changing')\n user.country = form.data['country']\n\n if DEBUG: # pragma: no cover\n print \"returning the form\"\n return {\n 'the_user_id': user_id,\n 'the_username': user.username,\n 'form': FormRenderer(form),\n }","def add(self, user: U) -> None:\n ...","def update_user():","def update_user():\n #TODO user update \n pass","def edit_acl(request):\n\n def grant_access(acl, list_to_edit):\n \"\"\"Grants access to a page based on data in the POST.\n\n Args:\n acl: AccessControlList to be manipulated\n list_to_edit: string representing the list on the ACL to add users or\n groups to\n\n \"\"\"\n if request.POST[list_to_edit]:\n datastore_object = None\n if request.POST[list_to_edit].startswith('user'):\n datastore_object = models.UserProfile.load(request.POST[list_to_edit])\n else:\n datastore_object = models.UserGroup.get_by_id(\n int(request.POST[list_to_edit]))\n if datastore_object.key() not in acl.__getattribute__(list_to_edit):\n acl.__getattribute__(list_to_edit).append(datastore_object.key())\n\n def remove_access(acl, list_to_edit):\n \"\"\"Removes access to a page based on data in the POST.\n\n Args:\n acl: AccessControlList to be manipulated\n list_to_edit: string representing the list on the ACL to remove users or\n groups from\n\n \"\"\"\n post_key = '%s_remove_' % list_to_edit\n removal_keys = [k for k in request.POST.keys() if k.startswith(post_key)]\n for key in removal_keys:\n model_type = models.UserGroup\n if list_to_edit.startswith('user'):\n model_type = models.UserProfile\n key_id = int(key.replace(post_key, ''))\n datastore_object = model_type.get_by_id(key_id)\n acl.__getattribute__(list_to_edit).remove(datastore_object.key())\n\n page_id = request.POST['page_id']\n page = models.Page.get_by_id(int(page_id))\n\n if not page:\n return utility.page_not_found(request)\n if not page.user_can_write(request.profile):\n return utility.forbidden(request)\n\n acl = page.acl\n\n if page.inherits_acl():\n acl = acl.clone()\n acl.put()\n page.acl = acl\n page.put()\n\n acl.global_write = 'global_write' in request.POST\n acl.global_read = 'global_read' in request.POST\n\n for object_list in ['group_write', 'group_read', 'user_write', 'user_read']:\n grant_access(acl, object_list)\n remove_access(acl, object_list)\n\n acl.put()\n\n return utility.edit_updated_page(page_id, tab_name='security',\n message_id='msgChangesSaved')","def modificationUsers(database):\n print(\"What do you want to do?\\n1. Insert a user\\n2.delete an user\\n3.Update an users\\n4. Quit\")\n choice=int(input(\"Your choice :\"))\n if choice==1:\n AddUser(database)\n elif choice==2:\n DelteUser(database)\n elif choice==3: \n updateUser(database)\n elif choice==4:\n return","def can_be_edited(self, user):\n return (self.is_public or user == self.owner or\n user in list(self.auth_users.all()))","def response_add(self, request, obj, post_url_continue=None):\n # We should allow further modification of the user just added i.e. the\n # 'Save' button should behave like the 'Save and continue editing'\n # button except in two scenarios:\n # * The user has pressed the 'Save and add another' button\n # * We are adding a user in a popup\n if '_addanother' not in request.POST and IS_POPUP_VAR not in request.POST:\n request.POST['_continue'] = 1\n return super(UserAdmin, self).response_add(request, obj,\n post_url_continue)","def on_model_change(self, form, model, is_created):\n if not current_user.is_active or not current_user.is_authenticated:\n abort(403)\n elif is_created:\n if not user_has_permission(current_user, 'can_create','updates'):\n abort(403)\n else:\n if not user_has_permission(current_user, 'can_edit','updates'):\n abort(403)","async def edit(self, *, name, roles: Optional[Any] = ..., reason: Optional[Any] = ...):\n ...","def edit(self,item=None):\r\n raise AbstractError\r\n return False","def can_edit_user(user):\n\tu = current_user._get_current_object()\n\treturn u==user or u.is_admin()","def edit_user():\n userid = request.form[\"userid\"]\n email = request.form[\"email\"]\n fname = request.form[\"fname\"]\n lname = request.form[\"lname\"]\n macaddress = request.form[\"macaddress\"]\n role = request.form[\"role\"]\n\n print(userid, \" | \",email,\" | \", fname,\" | \", lname, \" | \",macaddress,\" | \", role)\n\n user = User.query.get(userid)\n user.email = email\n user.fname = fname\n user.lname = lname\n user.macaddress = macaddress\n user.role = role\n\n # commit the new add.\n db.session.commit()\n\n return userSchema.jsonify(user)","def edit_form():\n return template (\"edit\")","def adminedit(object, id):\n\n db = get_db()\n\n if request.method == \"POST\":\n execute_string = 'UPDATE ' + object.title() + \" SET \"\n\n if object == 'post':\n execute_string += 'title = \"' + request.form['title'] + '\", content = \"' + request.form['content'] + '\", authorId = ' + request.form[\"authorid\"] + ', categoryId = ' + request.form[\"categoryid\"] + ''\n elif object == 'author':\n execute_string += 'name = \"' + request.form['name'] + '\"'\n elif object == 'category':\n execute_string += 'name = \"' + request.form['name'] + '\", description = \"' + request.form['description'] + '\"'\n\n execute_string += \" WHERE id = \" + str(id)\n db.execute(execute_string)\n db.commit()\n return redirect(url_for(\"adminview\", object=object))\n\n execute_string = \"SELECT * FROM \" + object.title() + \" WHERE id = \" + str(id)\n item = db.execute(execute_string).fetchone()\n\n return render_template(\"new.html\", object=object, item=item)","def save_model(self, request, obj, form, change):\n if not change:\n obj.creator = request.user\n obj.save()","def has_add_permission(self, request):\n return request.user.is_superuser or super().has_add_permission(request)","def has_add_permission(self, request):\r\n return False","def has_add_permission(self, request):\r\n return False","def update_db_with_user_edits(user_id):\n user = User.query.get_or_404(user_id)\n user.first_name = request.form['first_name']\n user.last_name = request.form['last_name']\n user.img_url = request.form['img_url']\n\n db.session.add(user)\n db.session.commit()\n\n return redirect('/users')","def grant_access(acl, list_to_edit):\n if request.POST[list_to_edit]:\n datastore_object = None\n if request.POST[list_to_edit].startswith('user'):\n datastore_object = models.UserProfile.load(request.POST[list_to_edit])\n else:\n datastore_object = models.UserGroup.get_by_id(\n int(request.POST[list_to_edit]))\n if datastore_object.key() not in acl.__getattribute__(list_to_edit):\n acl.__getattribute__(list_to_edit).append(datastore_object.key())","def save_model(self, request, obj, form, change):\r\n if change:\r\n obj.updated_by = request.user\r\n obj.save()","def is_edit(self):\n return self._tag == 'edit'","def can_user_edit(self, user):\n\n return user.is_authenticated and (\n user.has_role('admin') or\n unicode(self.user_id) == user.get_id()\n )","def _edit_user(self):\n users = fileIO.load_json(\"users.json\")\n print(\"The list of users is as follows: \")\n for i in users:\n print(users[i][\"name\"])\n #List specific user's settings and get user id\n userID = self._list_user_settings(users)\n #Loop until valid option given\n option = False\n while not option:\n option = input(\"Please enter the setting you would like to change: \")\n if option not in users[userID]:\n option = False\n print(\"That setting is not valid.\")\n #Get input for new setting\n args = input(\"Please enter what you would like to change that setting to: \")\n #Output\n command = \"edit_user {0} {1} {2}\\r\\n\".format(userID, option, args)\n return(command)","def save_model(self, request, obj, form, change):\n if not change:\n obj.author = request.user\n obj.save()","def crud_user(request):\n if request.POST['action'] == 'EDIT':\n username = request.POST['username']\n tel = request.POST['tel']\n mobile = request.POST['mobile']\n office = request.POST['office']\n num = request.POST['num']\n user = IMPUser.objects.get(username = username)\n user.tel = tel\n user.mobile = mobile\n user.office = office\n user.num = num\n user.save()\n return redirect(urlresolvers.reverse(\"address_page\"))\n #print(request.POST['tel'])\n #username = request.POST['username']\n #password = request.POST['password']\n #password1 = request.POST['password1']\n #tel = request.POST['tel']\n #try:\n # #if password.equals(password1)\n # User.objects.all().get(username = username) \n # return render(request, \"account/sign_up.html\", context={\"errmsg\":\"Duplicated User!\"})\n #except:\n # print(\"NO USER!\")\n # IMPUser.objects.create_user(username = username, password = password, tel=tel)\n return redirect(urlresolvers.reverse(\"sign_in\"))","def edit(user_id):\n if user_id != current_user.id:\n return abort(403)\n\n user = get_user(user_id)\n form = EditForm(obj=user)\n form.email.data = user.email\n\n if form.validate_on_submit():\n password = form.password.data\n username = form.username.data\n\n save_result = edit_user(user_id, password, username, user.active)\n user = save_result['entry']\n form = EditForm(request.form, obj=save_result['entry'])\n form.email.data = user.email\n return redirect(url_for('.index'))\n \n return render_template('users/edit.html'\n ,form=form\n ,user=user\n ,t=t\n ,m=m)","def is_editable(obj, request):\n if hasattr(obj, \"is_editable\"):\n return obj.is_editable(request)\n else:\n perm = obj._meta.app_label + \".\" + obj._meta.get_change_permission()\n return request.user.is_authenticated() and request.user.has_perm(perm)","def testAdd2(self):\n self.assertEquals(models.SUCCESS, self.users.add(\"userC\", \"password\"))\n self.assertEquals(models.SUCCESS, self.users.add(\"userD\", \"password\"))","def modify_user():\n\n id_hash = request.args.get('id')\n\n if not id_hash or id_hash=='':\n flash('There is no id.','error')\n return redirect(url_for('user_ksat.manage_user'))\n\n modify_user = User.query.filter_by(id=hashids_hasher.decode(id_hash)).first()\n\n if not modify_user:\n flash('There is no user to be changed.','error')\n return redirect(url_for('user_ksat.manage_user'))\n\n roles = Role.query.all()\n\n user_form = UserForm(\n username=modify_user.username,\n email=modify_user.email,\n password=modify_user.password,\n retype_password=modify_user.password,\n is_enabled=modify_user.is_enabled,\n first_name=modify_user.first_name,\n last_name=modify_user.last_name,\n locale=modify_user.locale,\n timezone=modify_user.timezone\n )\n # Metemos los valores actuales de los roles y los roles que no se anadieron anteriormente\n # para que puedan ser seleccionados\n user_form.roles.choices = [(i.name,i.name) for i in roles]\n user_form.roles.data = [i for i in modify_user.role_names]\n\n if user_form.validate_on_submit():\n\n if not request.form['username'] or request.form['username'] == '' :\n flash(\"No null or empty values are allowed.\",\"warn\")\n return render_template('user/add_edit_user.html', title='Modify User',\n user_form=user_form)\n if not request.form['email'] or request.form['email'] == '' :\n flash(\"No null or empty values are allowed.\",\"warn\")\n return render_template('user/add_edit_user.html', title='Modify User',\n user_form=user_form)\n if not request.form['password'] or request.form['password'] == '' :\n flash(\"No null or empty values are allowed.\",\"warn\")\n return render_template('user/add_edit_user.html', title='Modify User',\n user_form=user_form)\n if request.form['password'] != request.form['retype_password']:\n flash(\"Passwords are not the same!\",\"warn\")\n return render_template('user/add_edit_user.html', title='Modify User',\n user_form=user_form)\n\n hashed_password = user_manager.hash_password(request.form['password'])\n\n modify_user.username=request.form['username']\n modify_user.email=request.form['email']\n modify_user.password=hashed_password\n modify_user.confirmed_at=datetime.datetime.utcnow()\n\n if 'is_enabled' in request.form:\n modify_user.is_enabled=True\n else:\n modify_user.is_enabled=False\n\n modify_user.first_name=request.form['first_name']\n modify_user.last_name=request.form['last_name']\n modify_user.locale=request.form['locale']\n modify_user.timezone=request.form['timezone']\n\n # Si existe la lista de roles que hemos elegido se anadira al usuario\n if request.form.getlist('roles'):\n for rol in roles:\n if rol.name in request.form.getlist('roles'):\n modify_user.roles.add(rol)\n else:\n modify_user.roles = set()\n\n try:\n correct = True\n db.session.commit()\n\n except Exception as e:\n # Catch anything unknown\n print(e)\n correct = False\n\n finally:\n if not correct:\n # Cleanup and show error\n db.session.rollback()\n flash('Error modifying user, make sure username and email are unique','error')\n else:\n flash('Congratulations, you have modified a user!','success')\n return redirect(url_for('user_ksat.manage_user'))\n\n\n return render_template('user/add_edit_user.html', title='Modify User',user_form=user_form)","def test_add_or_update_case(self):\n pass","def test_write(self):\n userEdited = self.env['res.users'].browse(\n self.user.id).write({'user_profile_id': self.user_profile2.id})\n self.assertEqual(userEdited, True)","def update(self, request, *args, **kwargs):\n return super(UserViewSet, self).update(request, *args, **kwargs)","def admins_add(request):\n username = request.params['add']\n try:\n accounts.make_admin(username)\n except accounts.NoSuchUserError:\n request.session.flash(\n _(\"User {username} doesn't exist.\".format(username=username)),\n \"error\")\n return admins_index(request)","def test_edit(self):\n\n\t\titem_id = mock_item()[0]\n\n\t\titem_data = {'title': 'Item Two', 'author': 'Author Two',\n\t\t\t'location': 'Location Two'}\n\t\tmodels.edit(item_id, item_data)\n\n\t\titem = models.item(item_id)\n\n\t\tself.assertEqual(item['title'], item_data['title'])\n\t\tself.assertEqual(item['author'], item_data['author'])\n\t\tself.assertEqual(item['location'], item_data['location'])","def can_edit(self, can_edit):\n\n self._can_edit = can_edit","def save():\n user = users.get_current_user()\n if user:\n new_app = Applic(parent=base_key)\n new_app.user = user.user_id()\n new_app.username = user.nickname()\n new_app.content = request.forms.get('content')\n new_app.title = request.forms.get('title') \n new_app.put()\n redirect('/')\n else:\n redirect('/')","def edit(request, pk):\n\n try:\n object = User.objects.get(pk=pk)\n except:\n object = User()\n\n if request.method == 'POST': # If the form has been submitted...\n form = UserForm(request.POST, instance=object)\n\n if form.is_valid(): # If the form is valid\n object = form.save()\n\n messages.success(request, _('The user has been saved.'))\n\n return redirect('users.views.list')\n else:\n form = UserForm(instance=object)\n\n return render(request, 'users/users/edit.html', {'form': form})","def after_successful_edit(self):\n pass","def can_edit(self, user):\n if user.has_perm('funding.make_application_decisions'):\n # Funding manager can update things later, if required\n return True\n # Applicants can only edit the application before the final review step\n if self.status in ('S', 'U'):\n if self.applicant == user:\n return True\n return False","def checkPermissionEditUsers(self):\n user = self.REQUEST.AUTHENTICATED_USER\n\n return bool(user.has_permission(eionet_edit_users, self))","def edit_register(id):\n add_employee = False\n\n employee = Employee.query.get_or_404(id) #from table\n print('----update 1----')\n form = UpdateForm(obj=employee) #if not 404\n print('----update 2----')\n if form.validate_on_submit():\n employee.email = email=form.email.data\n employee.username=form.username.data\n employee.glad_id=form.glad_id.data\n employee.tel_no=form.tel_no.data\n employee.role_id=form.role_id.data\n employee.password=form.password.data\n\n # UPDATE employee to the database\n print('----update----',employee.role_id)\n db.session.commit()\n flash('You have successfully updated! ')\n\n # # redirect to the login page\n # return redirect(url_for('auth.login'))\n\n # load registration template\n return render_template('auth/register.html', form=form, title='Update')","def edit_user(user_id):\n\n user = User.query.get_or_404(user_id)\n \n first = request.form['first_name']\n last = request.form['last_name']\n image = request.form['image_url']\n \n if not first or not last:\n flash(\"Please enter first and last name.\")\n return redirect(f\"/users/{user.id}/edit\")\n \n user.first_name = first\n user.last_name = last\n \n if image:\n user.image_url = image\n\n db.session.add(user)\n db.session.commit()\n\n return redirect(\"/users\")","def editChange(self,editBtn):\n if self.edit ==True:\n self.updateDetails(\"normal\") #update details column\n self.edit = False #switch boolean\n self.editBtn.setText(\"Edit\") #update button text\n else:\n self.updateDetails(\"edit\") #update details column\n self.edit= True #switch boolean\n self.editBtn.setText(\"Stop Editing\") #update button text","def OnToggleEdit(self, event):\n\t\ttoggle = self.btn_edit.GetToggle()\n\t\tif not toggle:\n\t\t\tif not util.gAuthen.Authenticate(util.ADMIN):\n\t\t\t\tself.btn_edit.SetToggle(not toggle)\n\t\t\t\treturn \n\t\tself.UpdateToggle()","def has_add_permission(self, request):\n return False","def has_add_permission(self, request):\n return False","def edit(self, *args, **kw):\n\t\t\ttmpl_context.widget = self.edit_form\n\t\t\tpks \t\t= self.provider.get_primary_fields(self.model)\n\t\t\tkw \t\t\t= {}\n\n\t\t\tfor i, pk in enumerate(pks):\n\t\t\t\tkw[pk] \t\t= args[i]\n\n\t\t\tvalue \t\t= self.edit_filler.get_value(kw)\n\t\t\tvalue['_method'] \t= 'PUT'\n\n\t\t\treturn dict(value = value, model = self.model.__name__, pk_count = len(pks))","def test_handle_edit_not_admin(self):\n test_user = User(\"userid\")\n team = Team(\"BRS\", \"brs\", \"brS\")\n self.db.retrieve.return_value = test_user\n self.db.query.return_value = [team]\n with self.app.app_context():\n self.assertTupleEqual(self.testcommand.handle(\"team \"\n \"edit brs\", user),\n (self.testcommand.permission_error, 200))\n self.db.store.assert_not_called()","def update(self, user: U) -> None:\n ...","def testMemberCanEdit(self):\n self.client.login(username=\"admin\", password=\"test\")\n response = self.client.get(reverse(\"task_detail\", args=[1]))\n self.failUnlessEqual(response.status_code, 200)\n self.failUnless(response.content.find(\"<h2>Edit</h2>\") != -1,\n \"Authenticated users cannot edit tasks.\")\n self.client.logout()","def process_user_edit_form(user_id):\n first_name = request.form.get('first_name')\n last_name = request.form.get('last_name')\n image_url = request.form.get('image_url')\n\n # can add value in edit_user.html to remove this\n user = User.query.get_or_404(user_id)\n\n user.first_name = first_name\n user.last_name = last_name\n user.image_url = image_url\n\n db.session.add(user)\n db.session.commit()\n\n flash(f'Edited user info for: {first_name} {last_name}')\n\n return redirect('/users')","def on_edit(self, dataobj):","def post(self, request, *args, **kwargs):\n if self.determine_perms(request, *args, **kwargs)['can_edit']:\n username = request.data.get(\"username\")\n try:\n user = User.objects.get(username=username)\n except ObjectDoesNotExist:\n return HttpResponse(\n content=\"User {0} does not exist.\".format(username),\n status=status.HTTP_400_BAD_REQUEST)\n\n collection = Collection.objects.get(id=int(kwargs['pk']))\n collection.add_curator(user)\n return HttpResponse(\n content=\"Curator added to collection.\",\n content_type=\"application/json\",\n status=status.HTTP_200_OK)\n else:\n raise PermissionDenied","def on_model_change(self, form, model, is_created):\n if not current_user.is_active or not current_user.is_authenticated:\n abort(403)\n elif is_created:\n if not user_has_permission(current_user, 'can_create','admins'):\n abort(403)\n else:\n if not user_has_permission(current_user, 'can_edit','admins'):\n abort(403)","def save_model(self, request, obj, form, change):\n obj.created_by = request.user\n\n super(\n IngredientAdmin,\n self\n ).save_model(\n request,\n obj,\n form,\n change,\n )","def update_user(id):\n pass","def edit_person():\n # get person name from user\n responses = accept_inputs([\"Person's name\"])\n person_name = responses[\"Person's name\"]\n # check for existence\n results = query_with_results(\"select * from person where name = ?\", [person_name])\n if len(results) == 0:\n print(\"No person found with name '%s'.\" % person_name)\n return\n else:\n # get id of person\n id = query_with_results(\"select id from person where name = ?\", [person_name])[0][0]\n # the task exists, so ask the user for the new description\n responses = accept_inputs([\"New name\"])\n # update db\n query_no_results(\"update person set name = ? where id = ?\", [responses[\"New name\"], id])\n print(\"Person with old name '%s' changed to '%s'.\" % (person_name, responses[\"New name\"]))","def view_users_edit(self):\n\n logged_in = authenticated_userid(self.request)\n form = Form(self.request, schema=UsersEditSchema,\n state=State(request=self.request))\n\n search_results = []\n message = u\"\"\n search = u\"\"\n\n if form.validate():\n search = self.request.params['search']\n\n # Loop through all the users and create dict of groups\n for user in self.context:\n if search.lower() in self.context[user].username.lower():\n search_results.append(self.context[user])\n \n # TODO: do we really need 'save in' -check\n if 'save' in self.request.params.keys() and \\\n self.request.params['save'] == 'Save':\n message = msg['saved']\n # Filter checkbox-parameters from request\n cbs = [p for p in self.request.params.keys()\n if u'checkbox' in p]\n users = [self.request.params[p] for p in self.request.params.keys()\n if u'user' == p]\n\n # new policy for groups\n updated = {}\n\n # check all the checkbox-parameters and\n # parse them\n for cb in cbs:\n username = cb.split(':')[1]\n try:\n updated[username]\n except KeyError:\n updated[username] = []\n updated[username] += [self.request.params[cb]]\n \n groups_tool = get_resource('groups', self.request)\n\n # Init users as empty first, then update with checkbox-data\n # TODO: add 'u:user' group?\n for user in users:\n groups_tool.flush(user)\n groups_tool.add_policy(updated)\n\n def has_group(group, user, request):\n \"\"\" Check if the user belongs to the group \"\"\"\n return group_names[group] in groupfinder(user.username, request)\n\n def sorted_gnames():\n \"\"\" Sort list of keys to make sure they are in right order \"\"\"\n return sorted(group_names.keys())\n\n return {\n 'page': self.context,\n 'logged_in': logged_in,\n 'form': FormRenderer(form),\n 'search_results': search_results,\n 'message': message,\n 'group_names': group_names,\n 'has_group': has_group,\n 'sorted_gnames': sorted_gnames(),\n 'result_count': len(search_results),\n 'search_term': search\n }","def has_change_permission(self, request, obj=None):\n has_class_permission = super(EntryAdmin, self).has_change_permission(request, obj)\n if not has_class_permission:\n return False\n if obj is not None and not request.user.is_superuser and request.user.id != obj.author.id:\n return False\n return True","def user(self):","def test_plusrecords_on_edit(self):\n self.go200('minus_plus_upload')\n self.formfile('minus_plus_upload', 'file', AUDIO_FILE)\n self.submit200()\n self.go200('minus_upload')\n self.formfile('minus_upload', 'file', AUDIO_FILE)\n self.submit200()\n self.go200('minus_plus_upload')\n self.formfile('minus_plus_upload', 'file', AUDIO_FILE)\n self.submit200()\n self.assert_equal(MinusPlusRecord.objects.count(), 2)\n self.go200('minus_edit', [self.superuser, 1])\n self.fv('minus_upload', 'author', \"brams\")\n self.submit200()\n self.find('Плюс')\n self.assert_equal(MinusPlusRecord.objects.count(), 1)","def edit_user(self, username, employee, role, status, change_pwd=False, *password):\n self.click(self.user_edit_save_btn)\n self.set_combox_value(role, self.user_role_select)\n self.input_text(employee, self.emp_name_input)\n self.input_text(username, self.user_name_input)\n self.set_combox_value(status, self.user_status_select)\n if change_pwd:\n self.click(self.change_password)\n self.input_text(password, self.user_password_input)\n self.input_text(password, self.user_confirm_password)\n self.click(self.user_edit_save_btn)\n self.wait_unit_el_present(self.user_table)\n Log.info(\"User is edited and saved.\")","def save_model(self, request, obj, form, change):\n obj.propietario = request.user\n obj.save()","def postEditUser(self, request):\n\n userForm = UserEditForm(instance=request.user, data=request.POST)\n profileForm = ProfileEditForm(instance=request.user.profile, data=request.POST)\n\n if userForm.is_valid() and profileForm.is_valid():\n userForm.save()\n profileForm.save()\n else:\n with open('file.txt', 'w', encoding='utf-8') as file:\n print(f'not valid', file=file)","def do_edit(self, args):\n member = None\n rowid = args.split(' ')[0]\n \n # loop till we get a rowid which matches a member in the database\n while True:\n rowid = self.validateRowid(rowid)\n if rowid is None:\n rowid = input('Enter member id: ')\n continue\n \n member = self.roster.get(rowid)\n if member is None:\n print(\"No member with id of %d\" % rowid)\n # rowid will get validated again, but it's the same value\n # which already passed validation\n continue\n \n break\n \n print('Editing %s %s' % (member.first, member.last))\n print('Type new value, hit enter to keep current value, or enter spaces to clear a value')\n member.first = self.getNewValue('First name', member.first)\n member.last = self.getNewValue('Last name', member.last)\n member.introducedDate = self.getNewValue('introduced date', member.introducedDate) \n \n self.roster.update(member)","def user_update(user, action, change, data={}):\n return user, action, change()","def edit(self, *args, **kw):\n tmpl_context.widget = self.edit_form\n #pks = self.provider.get_primary_fields(self.model)\n \n log.debug(\"soyRomperLB= %s\" %kw)\n\n ###########################################\n pks = self.provider.get_primary_fields(self.model)\n \n ###########################################\n kw = {}\n for i, pk in enumerate(pks):\n kw[pk] = args[i]\n value = self.edit_filler.get_value(kw)\n value['_method'] = 'PUT'\n return dict(value=value, model=self.model.__name__, pk_count=len(pks))","def add_admin(user_id=None):\r\n try:\r\n if user_id:\r\n user = db.session.query(model.user.User)\\\r\n .get(user_id)\r\n require.user.update(user)\r\n if user:\r\n user.admin = True\r\n db.session.commit()\r\n return redirect(url_for(\".users\"))\r\n else:\r\n msg = \"User not found\"\r\n return format_error(msg, 404)\r\n except Exception as e: # pragma: no cover\r\n current_app.logger.error(e)\r\n return abort(500)","def save_edit(request, post_id):\n if request.method == \"PUT\":\n data = json.loads(request.body)\n user = request.user\n post = Post.objects.get(id=post_id)\n content = data.get(\"content\", \"\")\n # Check to make sure user attempting edit is author\n if user == post.author:\n post.content = content\n post.save()\n return JsonResponse({\"content\": post.content})\n else:\n return JsonResponse({\"message\": \"Not authorized to edit\"})","def on_model_change(self, form, model, is_created):\n if not current_user.is_active or not current_user.is_authenticated:\n abort(403)\n elif is_created:\n if not user_has_permission(current_user, 'can_create','bigfirms'):\n abort(403)\n else:\n if not user_has_permission(current_user, 'can_edit','bigfirms'):\n abort(403)","def add_user():\n\n roles = Role.query.all()\n\n user_form = UserForm(request.form)\n user_form.roles.choices = [(i.name,i.name) for i in roles]\n\n if user_form.validate_on_submit():\n\n if not request.form['username'] or request.form['username'] == '' :\n flash(\"No null or empty values are allowed.\",\"warn\")\n return render_template('user/add_edit_user.html', title='Add User',add=True,\n user_form=user_form)\n if not request.form['email'] or request.form['email'] == '' :\n flash(\"No null or empty values are allowed.\",\"warn\")\n return render_template('user/add_edit_user.html', title='Add User',add=True,\n user_form=user_form)\n if not request.form['password'] or request.form['password'] == '' :\n flash(\"No null or empty values are allowed.\",\"warn\")\n return render_template('user/add_edit_user.html', title='Add User',add=True,\n user_form=user_form)\n if request.form['password'] != request.form['retype_password']:\n flash(\"Passwords are not the same!\",\"warn\")\n return render_template('user/add_edit_user.html', title='Add User',add=True,\n user_form=user_form)\n\n hashed_password = user_manager.hash_password(user_form.password.data)\n new_user = User(\n username=user_form.username.data,\n email=user_form.email.data,\n password=hashed_password,\n confirmed_at=datetime.datetime.utcnow(),\n is_enabled=user_form.is_enabled.data,\n first_name=user_form.first_name.data,\n last_name=user_form.last_name.data,\n locale=user_form.locale.data,\n timezone=user_form.timezone.data\n )\n\n # Si existe la lista de roles que hemos elegido se anadira al usuario\n if user_form.roles.data:\n for rol in roles:\n if rol.name in user_form.roles.data:\n new_user.roles.add(rol)\n try:\n correct = True\n db.session.add(new_user)\n db.session.commit()\n\n except Exception as e:\n # Catch anything unknown\n print(e)\n correct = False\n\n finally:\n if not correct:\n # Cleanup and show error\n db.session.rollback()\n flash('Error creating user, make sure username and email are unique','error')\n\n else:\n flash('Congratulations, you have created a new user!','success')\n return redirect(url_for('user_ksat.manage_user'))\n\n\n return render_template('user/add_edit_user.html', title='Add User',add=True,user_form=user_form)","def edit_item(self, item_id, name, description, category_id, user_id):\r\n item = self._db_manager.get_item(item_id)\r\n if item is None:\r\n flash(\"Invalid item.\")\r\n return\r\n if item[\"user_id\"] != user_id:\r\n flash(\"Only the original creator can edit an item.\")\r\n return\r\n category = self._db_manager.get_category(category_id)\r\n if category is None:\r\n flash(\"Invalid category.\")\r\n return\r\n if category[\"user_id\"] != user_id:\r\n flash(\"You can only add items to categories you created.\")\r\n return\r\n flash(self._db_manager.edit_item(\r\n item_id=item_id,\r\n name=name,\r\n description=description,\r\n category_id=category_id\r\n ))","def on_model_change(self, form, model, is_created):\n if not current_user.is_active or not current_user.is_authenticated:\n abort(403)\n elif is_created:\n if not user_has_permission(current_user, 'can_create','specialties'):\n abort(403)\n else:\n if not user_has_permission(current_user, 'can_edit','specialties'):\n abort(403)","def add(request):\n\n context = {}\n forms = TodoForm()\n if request.method == \"POST\":\n forms = TodoForm(request.POST or None)\n if forms.is_valid():\n # If form is valid then create the todo\n forms = forms.save()\n # Update the user of new created user to be the logged in user\n forms.user = request.user\n # Save updated form\n forms.save()\n # Redirect to the home page\n return redirect(\"index\")\n \n context['form'] = forms\n return render(request, \"todos/add.html\", context)","def has_add_permission(self, request):\n return self.has_generic_permission(request, \"add\")","def edit_object(obj):\n return __EditMode(obj)","def on_model_change(self, form, model, is_created):\n if not current_user.is_active or not current_user.is_authenticated:\n abort(403)\n elif is_created:\n if not user_has_permission(current_user, 'can_create','occupations'):\n abort(403)\n else:\n if not user_has_permission(current_user, 'can_edit','occupations'):\n abort(403)","def test_user_update_request(self):\n pass","def edit_post(post_id):\n\n post_data = {\"id\": post_id}\n db_post = Post.query.get_or_404(post_id)\n post_data[\"title\"] = db_post.title\n post_data[\"content\"] = db_post.content\n post_data[\"user_id\"] = db_post.user_id\n\n return render_template(\"edit_post.html\", headline=\"Add New Blogly User\", post=post_data)","def test_edit(self):\n r = main.List.connection()\n main.List.add(r, \"ToDo\", 1, \"Buy apples\", 2, \"20.05.2015\")\n main.List.edit(r, \"ToDo\", 1, \"Buy bananas, not apples\", 2, \"20.05.2015\")\n task = main.List.pull_from_redis(r, \"ToDo\", False)\n if task and task is not None:\n check = task[\"1\"][\"description\"] == \"Buy bananas, not apples\"\n self.assertTrue(check, \"Editing failed.\")","def action_add(request, employee_id=None):\n if employee_id:\n employee = Employee.objects.get(pk=employee_id)\n current_employee = Employee.objects.get(user__pk=request.user.pk)\n if not current_employee.isEnsoUser() and current_employee.company.pk != employee.company.pk:\n raise PermissionDenied()\n else:\n employee = request.user.employee_user.first()\n if request.method == 'POST':\n form = ActionForm(request.POST)\n if form.is_valid():\n form.save(request.user, employee)\n return HttpResponseRedirect('/action/%d' % form.instance.pk)\n else:\n form = ActionForm()\n return TemplateResponse(\n request,\n 'mus/action_edit.html',\n dict(\n form=form\n )\n )"],"string":"[\n \"def edit(self):\\n\\n pass\",\n \"def edit():\",\n \"def edit(self, **kwargs):\\n ...\",\n \"def allow_to_edit(user):\\n return allow_to_edit_well(user)\",\n \"def user_can_edit(self, user):\\n return user == self.owner\",\n \"def home_edituser():\\n\\tpass\",\n \"def can_edit(self, user):\\n return self.author_id == user.id or user.is_staff\",\n \"def edit():\\n database.ask(mode='single')\\n F = database.check(single=True)\\n if F and hasattr(F,'edit'):\\n name = database[0]\\n F.edit(name)\",\n \"def edit_person(self, pk):\",\n \"def can_edit(self):\\n return self._can_edit\",\n \"def dummy():\\n\\t\\t\\tself.edit = True\",\n \"def admin_edit_users():\\n return user_management_handler(\\\"show_admin_edit_users\\\", \\\"new_users\\\", False)\",\n \"def add_edit(self, edit):\\n if edit not in self.edits:\\n self.edits.append(edit)\",\n \"def save_model(self, request, obj, form, change):\\n if not change:\\n obj.author = request.user\\n super(EntryAdmin, self).save_model(request, obj, form, change)\",\n \"def test_edit(test_case, widget):\\n ensure_engine_exists()\\n # Create schem\\n Base.metadata.create_all(get_engine())\\n # Create editing UI\\n edit_ui = type(\\\"CustomEditUI\\\", (Ui_EditForm, PQSEditUI), {})\\n ui, s, u = None, None, None\\n # Switch test\\n print(test_case)\\n if test_case == \\\"add\\\":\\n ui = edit_ui(User)\\n elif test_case == \\\"edit-transient\\\":\\n ui = edit_ui(User(email=\\\"transient@users.org\\\", number=1))\\n else:\\n s = SessionFactory()\\n if test_case == \\\"edit-pending\\\":\\n u = User(email=\\\"pending@users.org\\\", number=2)\\n s.add(u)\\n ui = edit_ui(u, s)\\n elif test_case == \\\"edit-persistent\\\":\\n u = User(email=\\\"persistent@users.org\\\", number=3,\\n birthdate=datetime.date(1995, 9, 21))\\n s.add(u)\\n s.commit()\\n ui = edit_ui(u, s)\\n elif test_case == \\\"edit-persistent-wrong\\\":\\n s.execute(\\\"INSERT INTO users (email, number, birthdate) VALUES (\\\" +\\n \\\"\\\\\\\"persistent-wrongusers.org\\\\\\\", 4, \\\\\\\"2099-12-12\\\\\\\")\\\")\\n s.commit()\\n u = s.query(User).filter(\\n User.email == \\\"persistent-wrongusers.org\\\").first()\\n ui = edit_ui(u, s)\\n # Create UI\\n ui.setup_and_bind(widget, Ui_UserForm)\\n return ui, s, u\",\n \"def edit_allowed(self):\\n account = Account.current_user_account\\n if account is None:\\n return False\\n return self.user_can_edit(account.user)\",\n \"def who_edits(self):\\n\\t\\treturn self.editing\",\n \"def edit_show_user(user_id):\\n edited_user = User.query.get_or_404(user_id)\\n\\n edited_user.first_name = request.form['first_name']\\n edited_user.last_name = request.form['last_name']\\n edited_user.image_url = request.form['image_url']\\n\\n db.session.add(edited_user)\\n db.session.commit()\\n\\n return redirect('/')\",\n \"def user_edit(request):\\n DEBUG = False\\n\\n if not has_permission('editUser', request.context, request):\\n #print \\\"NOT has_permission !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!\\\"\\n request.message = \\\"You do not have permissions to edit this user!\\\"\\n raise HTTPForbidden\\n\\n # if no user_id in URL and not logged in, tell user to login\\n\\n try:\\n user_id = request.matchdict['user_id']\\n except KeyError, ke:\\n #print ke\\n return HTTPFound(location=request.route_url('not_found'))\\n\\n user = User.get_by_user_id(user_id)\\n\\n if user is None:\\n msg = \\\"User was not founf in database.\\\"\\n return HTTPFound(location=request.route_url('not_found'))\\n\\n form = Form(request, schema=UserSettingsSchema, obj=user)\\n\\n if 'form.submitted' in request.POST and not form.validate():\\n # form didn't validate\\n request.session.flash('Please check the form below for errors!')\\n if DEBUG: # pragma: no cover\\n print \\\"submitted but not validated!\\\"\\n\\n if 'form.submitted' in request.POST and form.validate():\\n # ready for changing database entries!\\n request.session.flash('form validated!')\\n if DEBUG: # pragma: no cover\\n print \\\"the form was submitted and validated.\\\"\\n\\n if form.data['surname'] != user.surname:\\n if DEBUG: # pragma: no cover\\n request.session.flash('surname was not same --> changing')\\n print \\\"changing surname\\\"\\n user.surname = form.data['surname']\\n if form.data['lastname'] != user.lastname:\\n if DEBUG: # pragma: no cover\\n request.session.flash('lastname was not same --> changing')\\n print \\\"changing lastname\\\"\\n user.lastname = form.data['lastname']\\n if form.data['email'] != user.email:\\n request.session.flash('email was not same --> changing')\\n user.email = form.data['email']\\n if form.data['phone'] != user.phone:\\n request.session.flash('phone was not same --> changing')\\n user.phone = form.data['phone']\\n if form.data['fax'] != user.fax:\\n request.session.flash('fax was not same --> changing')\\n user.fax = form.data['fax']\\n if form.data['street'] != user.street:\\n request.session.flash('street was not same --> changing')\\n user.street = form.data['street']\\n if form.data['number'] != user.number:\\n request.session.flash('number was not same --> changing')\\n user.number = form.data['number']\\n if form.data['city'] != user.city:\\n request.session.flash('city was not same --> changing')\\n user.city = form.data['city']\\n if form.data['postcode'] != user.postcode:\\n request.session.flash('postcode was not same --> changing')\\n user.postcode = form.data['postcode']\\n if form.data['country'] != user.country:\\n request.session.flash('country was not same --> changing')\\n user.country = form.data['country']\\n\\n if DEBUG: # pragma: no cover\\n print \\\"returning the form\\\"\\n return {\\n 'the_user_id': user_id,\\n 'the_username': user.username,\\n 'form': FormRenderer(form),\\n }\",\n \"def add(self, user: U) -> None:\\n ...\",\n \"def update_user():\",\n \"def update_user():\\n #TODO user update \\n pass\",\n \"def edit_acl(request):\\n\\n def grant_access(acl, list_to_edit):\\n \\\"\\\"\\\"Grants access to a page based on data in the POST.\\n\\n Args:\\n acl: AccessControlList to be manipulated\\n list_to_edit: string representing the list on the ACL to add users or\\n groups to\\n\\n \\\"\\\"\\\"\\n if request.POST[list_to_edit]:\\n datastore_object = None\\n if request.POST[list_to_edit].startswith('user'):\\n datastore_object = models.UserProfile.load(request.POST[list_to_edit])\\n else:\\n datastore_object = models.UserGroup.get_by_id(\\n int(request.POST[list_to_edit]))\\n if datastore_object.key() not in acl.__getattribute__(list_to_edit):\\n acl.__getattribute__(list_to_edit).append(datastore_object.key())\\n\\n def remove_access(acl, list_to_edit):\\n \\\"\\\"\\\"Removes access to a page based on data in the POST.\\n\\n Args:\\n acl: AccessControlList to be manipulated\\n list_to_edit: string representing the list on the ACL to remove users or\\n groups from\\n\\n \\\"\\\"\\\"\\n post_key = '%s_remove_' % list_to_edit\\n removal_keys = [k for k in request.POST.keys() if k.startswith(post_key)]\\n for key in removal_keys:\\n model_type = models.UserGroup\\n if list_to_edit.startswith('user'):\\n model_type = models.UserProfile\\n key_id = int(key.replace(post_key, ''))\\n datastore_object = model_type.get_by_id(key_id)\\n acl.__getattribute__(list_to_edit).remove(datastore_object.key())\\n\\n page_id = request.POST['page_id']\\n page = models.Page.get_by_id(int(page_id))\\n\\n if not page:\\n return utility.page_not_found(request)\\n if not page.user_can_write(request.profile):\\n return utility.forbidden(request)\\n\\n acl = page.acl\\n\\n if page.inherits_acl():\\n acl = acl.clone()\\n acl.put()\\n page.acl = acl\\n page.put()\\n\\n acl.global_write = 'global_write' in request.POST\\n acl.global_read = 'global_read' in request.POST\\n\\n for object_list in ['group_write', 'group_read', 'user_write', 'user_read']:\\n grant_access(acl, object_list)\\n remove_access(acl, object_list)\\n\\n acl.put()\\n\\n return utility.edit_updated_page(page_id, tab_name='security',\\n message_id='msgChangesSaved')\",\n \"def modificationUsers(database):\\n print(\\\"What do you want to do?\\\\n1. Insert a user\\\\n2.delete an user\\\\n3.Update an users\\\\n4. Quit\\\")\\n choice=int(input(\\\"Your choice :\\\"))\\n if choice==1:\\n AddUser(database)\\n elif choice==2:\\n DelteUser(database)\\n elif choice==3: \\n updateUser(database)\\n elif choice==4:\\n return\",\n \"def can_be_edited(self, user):\\n return (self.is_public or user == self.owner or\\n user in list(self.auth_users.all()))\",\n \"def response_add(self, request, obj, post_url_continue=None):\\n # We should allow further modification of the user just added i.e. the\\n # 'Save' button should behave like the 'Save and continue editing'\\n # button except in two scenarios:\\n # * The user has pressed the 'Save and add another' button\\n # * We are adding a user in a popup\\n if '_addanother' not in request.POST and IS_POPUP_VAR not in request.POST:\\n request.POST['_continue'] = 1\\n return super(UserAdmin, self).response_add(request, obj,\\n post_url_continue)\",\n \"def on_model_change(self, form, model, is_created):\\n if not current_user.is_active or not current_user.is_authenticated:\\n abort(403)\\n elif is_created:\\n if not user_has_permission(current_user, 'can_create','updates'):\\n abort(403)\\n else:\\n if not user_has_permission(current_user, 'can_edit','updates'):\\n abort(403)\",\n \"async def edit(self, *, name, roles: Optional[Any] = ..., reason: Optional[Any] = ...):\\n ...\",\n \"def edit(self,item=None):\\r\\n raise AbstractError\\r\\n return False\",\n \"def can_edit_user(user):\\n\\tu = current_user._get_current_object()\\n\\treturn u==user or u.is_admin()\",\n \"def edit_user():\\n userid = request.form[\\\"userid\\\"]\\n email = request.form[\\\"email\\\"]\\n fname = request.form[\\\"fname\\\"]\\n lname = request.form[\\\"lname\\\"]\\n macaddress = request.form[\\\"macaddress\\\"]\\n role = request.form[\\\"role\\\"]\\n\\n print(userid, \\\" | \\\",email,\\\" | \\\", fname,\\\" | \\\", lname, \\\" | \\\",macaddress,\\\" | \\\", role)\\n\\n user = User.query.get(userid)\\n user.email = email\\n user.fname = fname\\n user.lname = lname\\n user.macaddress = macaddress\\n user.role = role\\n\\n # commit the new add.\\n db.session.commit()\\n\\n return userSchema.jsonify(user)\",\n \"def edit_form():\\n return template (\\\"edit\\\")\",\n \"def adminedit(object, id):\\n\\n db = get_db()\\n\\n if request.method == \\\"POST\\\":\\n execute_string = 'UPDATE ' + object.title() + \\\" SET \\\"\\n\\n if object == 'post':\\n execute_string += 'title = \\\"' + request.form['title'] + '\\\", content = \\\"' + request.form['content'] + '\\\", authorId = ' + request.form[\\\"authorid\\\"] + ', categoryId = ' + request.form[\\\"categoryid\\\"] + ''\\n elif object == 'author':\\n execute_string += 'name = \\\"' + request.form['name'] + '\\\"'\\n elif object == 'category':\\n execute_string += 'name = \\\"' + request.form['name'] + '\\\", description = \\\"' + request.form['description'] + '\\\"'\\n\\n execute_string += \\\" WHERE id = \\\" + str(id)\\n db.execute(execute_string)\\n db.commit()\\n return redirect(url_for(\\\"adminview\\\", object=object))\\n\\n execute_string = \\\"SELECT * FROM \\\" + object.title() + \\\" WHERE id = \\\" + str(id)\\n item = db.execute(execute_string).fetchone()\\n\\n return render_template(\\\"new.html\\\", object=object, item=item)\",\n \"def save_model(self, request, obj, form, change):\\n if not change:\\n obj.creator = request.user\\n obj.save()\",\n \"def has_add_permission(self, request):\\n return request.user.is_superuser or super().has_add_permission(request)\",\n \"def has_add_permission(self, request):\\r\\n return False\",\n \"def has_add_permission(self, request):\\r\\n return False\",\n \"def update_db_with_user_edits(user_id):\\n user = User.query.get_or_404(user_id)\\n user.first_name = request.form['first_name']\\n user.last_name = request.form['last_name']\\n user.img_url = request.form['img_url']\\n\\n db.session.add(user)\\n db.session.commit()\\n\\n return redirect('/users')\",\n \"def grant_access(acl, list_to_edit):\\n if request.POST[list_to_edit]:\\n datastore_object = None\\n if request.POST[list_to_edit].startswith('user'):\\n datastore_object = models.UserProfile.load(request.POST[list_to_edit])\\n else:\\n datastore_object = models.UserGroup.get_by_id(\\n int(request.POST[list_to_edit]))\\n if datastore_object.key() not in acl.__getattribute__(list_to_edit):\\n acl.__getattribute__(list_to_edit).append(datastore_object.key())\",\n \"def save_model(self, request, obj, form, change):\\r\\n if change:\\r\\n obj.updated_by = request.user\\r\\n obj.save()\",\n \"def is_edit(self):\\n return self._tag == 'edit'\",\n \"def can_user_edit(self, user):\\n\\n return user.is_authenticated and (\\n user.has_role('admin') or\\n unicode(self.user_id) == user.get_id()\\n )\",\n \"def _edit_user(self):\\n users = fileIO.load_json(\\\"users.json\\\")\\n print(\\\"The list of users is as follows: \\\")\\n for i in users:\\n print(users[i][\\\"name\\\"])\\n #List specific user's settings and get user id\\n userID = self._list_user_settings(users)\\n #Loop until valid option given\\n option = False\\n while not option:\\n option = input(\\\"Please enter the setting you would like to change: \\\")\\n if option not in users[userID]:\\n option = False\\n print(\\\"That setting is not valid.\\\")\\n #Get input for new setting\\n args = input(\\\"Please enter what you would like to change that setting to: \\\")\\n #Output\\n command = \\\"edit_user {0} {1} {2}\\\\r\\\\n\\\".format(userID, option, args)\\n return(command)\",\n \"def save_model(self, request, obj, form, change):\\n if not change:\\n obj.author = request.user\\n obj.save()\",\n \"def crud_user(request):\\n if request.POST['action'] == 'EDIT':\\n username = request.POST['username']\\n tel = request.POST['tel']\\n mobile = request.POST['mobile']\\n office = request.POST['office']\\n num = request.POST['num']\\n user = IMPUser.objects.get(username = username)\\n user.tel = tel\\n user.mobile = mobile\\n user.office = office\\n user.num = num\\n user.save()\\n return redirect(urlresolvers.reverse(\\\"address_page\\\"))\\n #print(request.POST['tel'])\\n #username = request.POST['username']\\n #password = request.POST['password']\\n #password1 = request.POST['password1']\\n #tel = request.POST['tel']\\n #try:\\n # #if password.equals(password1)\\n # User.objects.all().get(username = username) \\n # return render(request, \\\"account/sign_up.html\\\", context={\\\"errmsg\\\":\\\"Duplicated User!\\\"})\\n #except:\\n # print(\\\"NO USER!\\\")\\n # IMPUser.objects.create_user(username = username, password = password, tel=tel)\\n return redirect(urlresolvers.reverse(\\\"sign_in\\\"))\",\n \"def edit(user_id):\\n if user_id != current_user.id:\\n return abort(403)\\n\\n user = get_user(user_id)\\n form = EditForm(obj=user)\\n form.email.data = user.email\\n\\n if form.validate_on_submit():\\n password = form.password.data\\n username = form.username.data\\n\\n save_result = edit_user(user_id, password, username, user.active)\\n user = save_result['entry']\\n form = EditForm(request.form, obj=save_result['entry'])\\n form.email.data = user.email\\n return redirect(url_for('.index'))\\n \\n return render_template('users/edit.html'\\n ,form=form\\n ,user=user\\n ,t=t\\n ,m=m)\",\n \"def is_editable(obj, request):\\n if hasattr(obj, \\\"is_editable\\\"):\\n return obj.is_editable(request)\\n else:\\n perm = obj._meta.app_label + \\\".\\\" + obj._meta.get_change_permission()\\n return request.user.is_authenticated() and request.user.has_perm(perm)\",\n \"def testAdd2(self):\\n self.assertEquals(models.SUCCESS, self.users.add(\\\"userC\\\", \\\"password\\\"))\\n self.assertEquals(models.SUCCESS, self.users.add(\\\"userD\\\", \\\"password\\\"))\",\n \"def modify_user():\\n\\n id_hash = request.args.get('id')\\n\\n if not id_hash or id_hash=='':\\n flash('There is no id.','error')\\n return redirect(url_for('user_ksat.manage_user'))\\n\\n modify_user = User.query.filter_by(id=hashids_hasher.decode(id_hash)).first()\\n\\n if not modify_user:\\n flash('There is no user to be changed.','error')\\n return redirect(url_for('user_ksat.manage_user'))\\n\\n roles = Role.query.all()\\n\\n user_form = UserForm(\\n username=modify_user.username,\\n email=modify_user.email,\\n password=modify_user.password,\\n retype_password=modify_user.password,\\n is_enabled=modify_user.is_enabled,\\n first_name=modify_user.first_name,\\n last_name=modify_user.last_name,\\n locale=modify_user.locale,\\n timezone=modify_user.timezone\\n )\\n # Metemos los valores actuales de los roles y los roles que no se anadieron anteriormente\\n # para que puedan ser seleccionados\\n user_form.roles.choices = [(i.name,i.name) for i in roles]\\n user_form.roles.data = [i for i in modify_user.role_names]\\n\\n if user_form.validate_on_submit():\\n\\n if not request.form['username'] or request.form['username'] == '' :\\n flash(\\\"No null or empty values are allowed.\\\",\\\"warn\\\")\\n return render_template('user/add_edit_user.html', title='Modify User',\\n user_form=user_form)\\n if not request.form['email'] or request.form['email'] == '' :\\n flash(\\\"No null or empty values are allowed.\\\",\\\"warn\\\")\\n return render_template('user/add_edit_user.html', title='Modify User',\\n user_form=user_form)\\n if not request.form['password'] or request.form['password'] == '' :\\n flash(\\\"No null or empty values are allowed.\\\",\\\"warn\\\")\\n return render_template('user/add_edit_user.html', title='Modify User',\\n user_form=user_form)\\n if request.form['password'] != request.form['retype_password']:\\n flash(\\\"Passwords are not the same!\\\",\\\"warn\\\")\\n return render_template('user/add_edit_user.html', title='Modify User',\\n user_form=user_form)\\n\\n hashed_password = user_manager.hash_password(request.form['password'])\\n\\n modify_user.username=request.form['username']\\n modify_user.email=request.form['email']\\n modify_user.password=hashed_password\\n modify_user.confirmed_at=datetime.datetime.utcnow()\\n\\n if 'is_enabled' in request.form:\\n modify_user.is_enabled=True\\n else:\\n modify_user.is_enabled=False\\n\\n modify_user.first_name=request.form['first_name']\\n modify_user.last_name=request.form['last_name']\\n modify_user.locale=request.form['locale']\\n modify_user.timezone=request.form['timezone']\\n\\n # Si existe la lista de roles que hemos elegido se anadira al usuario\\n if request.form.getlist('roles'):\\n for rol in roles:\\n if rol.name in request.form.getlist('roles'):\\n modify_user.roles.add(rol)\\n else:\\n modify_user.roles = set()\\n\\n try:\\n correct = True\\n db.session.commit()\\n\\n except Exception as e:\\n # Catch anything unknown\\n print(e)\\n correct = False\\n\\n finally:\\n if not correct:\\n # Cleanup and show error\\n db.session.rollback()\\n flash('Error modifying user, make sure username and email are unique','error')\\n else:\\n flash('Congratulations, you have modified a user!','success')\\n return redirect(url_for('user_ksat.manage_user'))\\n\\n\\n return render_template('user/add_edit_user.html', title='Modify User',user_form=user_form)\",\n \"def test_add_or_update_case(self):\\n pass\",\n \"def test_write(self):\\n userEdited = self.env['res.users'].browse(\\n self.user.id).write({'user_profile_id': self.user_profile2.id})\\n self.assertEqual(userEdited, True)\",\n \"def update(self, request, *args, **kwargs):\\n return super(UserViewSet, self).update(request, *args, **kwargs)\",\n \"def admins_add(request):\\n username = request.params['add']\\n try:\\n accounts.make_admin(username)\\n except accounts.NoSuchUserError:\\n request.session.flash(\\n _(\\\"User {username} doesn't exist.\\\".format(username=username)),\\n \\\"error\\\")\\n return admins_index(request)\",\n \"def test_edit(self):\\n\\n\\t\\titem_id = mock_item()[0]\\n\\n\\t\\titem_data = {'title': 'Item Two', 'author': 'Author Two',\\n\\t\\t\\t'location': 'Location Two'}\\n\\t\\tmodels.edit(item_id, item_data)\\n\\n\\t\\titem = models.item(item_id)\\n\\n\\t\\tself.assertEqual(item['title'], item_data['title'])\\n\\t\\tself.assertEqual(item['author'], item_data['author'])\\n\\t\\tself.assertEqual(item['location'], item_data['location'])\",\n \"def can_edit(self, can_edit):\\n\\n self._can_edit = can_edit\",\n \"def save():\\n user = users.get_current_user()\\n if user:\\n new_app = Applic(parent=base_key)\\n new_app.user = user.user_id()\\n new_app.username = user.nickname()\\n new_app.content = request.forms.get('content')\\n new_app.title = request.forms.get('title') \\n new_app.put()\\n redirect('/')\\n else:\\n redirect('/')\",\n \"def edit(request, pk):\\n\\n try:\\n object = User.objects.get(pk=pk)\\n except:\\n object = User()\\n\\n if request.method == 'POST': # If the form has been submitted...\\n form = UserForm(request.POST, instance=object)\\n\\n if form.is_valid(): # If the form is valid\\n object = form.save()\\n\\n messages.success(request, _('The user has been saved.'))\\n\\n return redirect('users.views.list')\\n else:\\n form = UserForm(instance=object)\\n\\n return render(request, 'users/users/edit.html', {'form': form})\",\n \"def after_successful_edit(self):\\n pass\",\n \"def can_edit(self, user):\\n if user.has_perm('funding.make_application_decisions'):\\n # Funding manager can update things later, if required\\n return True\\n # Applicants can only edit the application before the final review step\\n if self.status in ('S', 'U'):\\n if self.applicant == user:\\n return True\\n return False\",\n \"def checkPermissionEditUsers(self):\\n user = self.REQUEST.AUTHENTICATED_USER\\n\\n return bool(user.has_permission(eionet_edit_users, self))\",\n \"def edit_register(id):\\n add_employee = False\\n\\n employee = Employee.query.get_or_404(id) #from table\\n print('----update 1----')\\n form = UpdateForm(obj=employee) #if not 404\\n print('----update 2----')\\n if form.validate_on_submit():\\n employee.email = email=form.email.data\\n employee.username=form.username.data\\n employee.glad_id=form.glad_id.data\\n employee.tel_no=form.tel_no.data\\n employee.role_id=form.role_id.data\\n employee.password=form.password.data\\n\\n # UPDATE employee to the database\\n print('----update----',employee.role_id)\\n db.session.commit()\\n flash('You have successfully updated! ')\\n\\n # # redirect to the login page\\n # return redirect(url_for('auth.login'))\\n\\n # load registration template\\n return render_template('auth/register.html', form=form, title='Update')\",\n \"def edit_user(user_id):\\n\\n user = User.query.get_or_404(user_id)\\n \\n first = request.form['first_name']\\n last = request.form['last_name']\\n image = request.form['image_url']\\n \\n if not first or not last:\\n flash(\\\"Please enter first and last name.\\\")\\n return redirect(f\\\"/users/{user.id}/edit\\\")\\n \\n user.first_name = first\\n user.last_name = last\\n \\n if image:\\n user.image_url = image\\n\\n db.session.add(user)\\n db.session.commit()\\n\\n return redirect(\\\"/users\\\")\",\n \"def editChange(self,editBtn):\\n if self.edit ==True:\\n self.updateDetails(\\\"normal\\\") #update details column\\n self.edit = False #switch boolean\\n self.editBtn.setText(\\\"Edit\\\") #update button text\\n else:\\n self.updateDetails(\\\"edit\\\") #update details column\\n self.edit= True #switch boolean\\n self.editBtn.setText(\\\"Stop Editing\\\") #update button text\",\n \"def OnToggleEdit(self, event):\\n\\t\\ttoggle = self.btn_edit.GetToggle()\\n\\t\\tif not toggle:\\n\\t\\t\\tif not util.gAuthen.Authenticate(util.ADMIN):\\n\\t\\t\\t\\tself.btn_edit.SetToggle(not toggle)\\n\\t\\t\\t\\treturn \\n\\t\\tself.UpdateToggle()\",\n \"def has_add_permission(self, request):\\n return False\",\n \"def has_add_permission(self, request):\\n return False\",\n \"def edit(self, *args, **kw):\\n\\t\\t\\ttmpl_context.widget = self.edit_form\\n\\t\\t\\tpks \\t\\t= self.provider.get_primary_fields(self.model)\\n\\t\\t\\tkw \\t\\t\\t= {}\\n\\n\\t\\t\\tfor i, pk in enumerate(pks):\\n\\t\\t\\t\\tkw[pk] \\t\\t= args[i]\\n\\n\\t\\t\\tvalue \\t\\t= self.edit_filler.get_value(kw)\\n\\t\\t\\tvalue['_method'] \\t= 'PUT'\\n\\n\\t\\t\\treturn dict(value = value, model = self.model.__name__, pk_count = len(pks))\",\n \"def test_handle_edit_not_admin(self):\\n test_user = User(\\\"userid\\\")\\n team = Team(\\\"BRS\\\", \\\"brs\\\", \\\"brS\\\")\\n self.db.retrieve.return_value = test_user\\n self.db.query.return_value = [team]\\n with self.app.app_context():\\n self.assertTupleEqual(self.testcommand.handle(\\\"team \\\"\\n \\\"edit brs\\\", user),\\n (self.testcommand.permission_error, 200))\\n self.db.store.assert_not_called()\",\n \"def update(self, user: U) -> None:\\n ...\",\n \"def testMemberCanEdit(self):\\n self.client.login(username=\\\"admin\\\", password=\\\"test\\\")\\n response = self.client.get(reverse(\\\"task_detail\\\", args=[1]))\\n self.failUnlessEqual(response.status_code, 200)\\n self.failUnless(response.content.find(\\\"<h2>Edit</h2>\\\") != -1,\\n \\\"Authenticated users cannot edit tasks.\\\")\\n self.client.logout()\",\n \"def process_user_edit_form(user_id):\\n first_name = request.form.get('first_name')\\n last_name = request.form.get('last_name')\\n image_url = request.form.get('image_url')\\n\\n # can add value in edit_user.html to remove this\\n user = User.query.get_or_404(user_id)\\n\\n user.first_name = first_name\\n user.last_name = last_name\\n user.image_url = image_url\\n\\n db.session.add(user)\\n db.session.commit()\\n\\n flash(f'Edited user info for: {first_name} {last_name}')\\n\\n return redirect('/users')\",\n \"def on_edit(self, dataobj):\",\n \"def post(self, request, *args, **kwargs):\\n if self.determine_perms(request, *args, **kwargs)['can_edit']:\\n username = request.data.get(\\\"username\\\")\\n try:\\n user = User.objects.get(username=username)\\n except ObjectDoesNotExist:\\n return HttpResponse(\\n content=\\\"User {0} does not exist.\\\".format(username),\\n status=status.HTTP_400_BAD_REQUEST)\\n\\n collection = Collection.objects.get(id=int(kwargs['pk']))\\n collection.add_curator(user)\\n return HttpResponse(\\n content=\\\"Curator added to collection.\\\",\\n content_type=\\\"application/json\\\",\\n status=status.HTTP_200_OK)\\n else:\\n raise PermissionDenied\",\n \"def on_model_change(self, form, model, is_created):\\n if not current_user.is_active or not current_user.is_authenticated:\\n abort(403)\\n elif is_created:\\n if not user_has_permission(current_user, 'can_create','admins'):\\n abort(403)\\n else:\\n if not user_has_permission(current_user, 'can_edit','admins'):\\n abort(403)\",\n \"def save_model(self, request, obj, form, change):\\n obj.created_by = request.user\\n\\n super(\\n IngredientAdmin,\\n self\\n ).save_model(\\n request,\\n obj,\\n form,\\n change,\\n )\",\n \"def update_user(id):\\n pass\",\n \"def edit_person():\\n # get person name from user\\n responses = accept_inputs([\\\"Person's name\\\"])\\n person_name = responses[\\\"Person's name\\\"]\\n # check for existence\\n results = query_with_results(\\\"select * from person where name = ?\\\", [person_name])\\n if len(results) == 0:\\n print(\\\"No person found with name '%s'.\\\" % person_name)\\n return\\n else:\\n # get id of person\\n id = query_with_results(\\\"select id from person where name = ?\\\", [person_name])[0][0]\\n # the task exists, so ask the user for the new description\\n responses = accept_inputs([\\\"New name\\\"])\\n # update db\\n query_no_results(\\\"update person set name = ? where id = ?\\\", [responses[\\\"New name\\\"], id])\\n print(\\\"Person with old name '%s' changed to '%s'.\\\" % (person_name, responses[\\\"New name\\\"]))\",\n \"def view_users_edit(self):\\n\\n logged_in = authenticated_userid(self.request)\\n form = Form(self.request, schema=UsersEditSchema,\\n state=State(request=self.request))\\n\\n search_results = []\\n message = u\\\"\\\"\\n search = u\\\"\\\"\\n\\n if form.validate():\\n search = self.request.params['search']\\n\\n # Loop through all the users and create dict of groups\\n for user in self.context:\\n if search.lower() in self.context[user].username.lower():\\n search_results.append(self.context[user])\\n \\n # TODO: do we really need 'save in' -check\\n if 'save' in self.request.params.keys() and \\\\\\n self.request.params['save'] == 'Save':\\n message = msg['saved']\\n # Filter checkbox-parameters from request\\n cbs = [p for p in self.request.params.keys()\\n if u'checkbox' in p]\\n users = [self.request.params[p] for p in self.request.params.keys()\\n if u'user' == p]\\n\\n # new policy for groups\\n updated = {}\\n\\n # check all the checkbox-parameters and\\n # parse them\\n for cb in cbs:\\n username = cb.split(':')[1]\\n try:\\n updated[username]\\n except KeyError:\\n updated[username] = []\\n updated[username] += [self.request.params[cb]]\\n \\n groups_tool = get_resource('groups', self.request)\\n\\n # Init users as empty first, then update with checkbox-data\\n # TODO: add 'u:user' group?\\n for user in users:\\n groups_tool.flush(user)\\n groups_tool.add_policy(updated)\\n\\n def has_group(group, user, request):\\n \\\"\\\"\\\" Check if the user belongs to the group \\\"\\\"\\\"\\n return group_names[group] in groupfinder(user.username, request)\\n\\n def sorted_gnames():\\n \\\"\\\"\\\" Sort list of keys to make sure they are in right order \\\"\\\"\\\"\\n return sorted(group_names.keys())\\n\\n return {\\n 'page': self.context,\\n 'logged_in': logged_in,\\n 'form': FormRenderer(form),\\n 'search_results': search_results,\\n 'message': message,\\n 'group_names': group_names,\\n 'has_group': has_group,\\n 'sorted_gnames': sorted_gnames(),\\n 'result_count': len(search_results),\\n 'search_term': search\\n }\",\n \"def has_change_permission(self, request, obj=None):\\n has_class_permission = super(EntryAdmin, self).has_change_permission(request, obj)\\n if not has_class_permission:\\n return False\\n if obj is not None and not request.user.is_superuser and request.user.id != obj.author.id:\\n return False\\n return True\",\n \"def user(self):\",\n \"def test_plusrecords_on_edit(self):\\n self.go200('minus_plus_upload')\\n self.formfile('minus_plus_upload', 'file', AUDIO_FILE)\\n self.submit200()\\n self.go200('minus_upload')\\n self.formfile('minus_upload', 'file', AUDIO_FILE)\\n self.submit200()\\n self.go200('minus_plus_upload')\\n self.formfile('minus_plus_upload', 'file', AUDIO_FILE)\\n self.submit200()\\n self.assert_equal(MinusPlusRecord.objects.count(), 2)\\n self.go200('minus_edit', [self.superuser, 1])\\n self.fv('minus_upload', 'author', \\\"brams\\\")\\n self.submit200()\\n self.find('Плюс')\\n self.assert_equal(MinusPlusRecord.objects.count(), 1)\",\n \"def edit_user(self, username, employee, role, status, change_pwd=False, *password):\\n self.click(self.user_edit_save_btn)\\n self.set_combox_value(role, self.user_role_select)\\n self.input_text(employee, self.emp_name_input)\\n self.input_text(username, self.user_name_input)\\n self.set_combox_value(status, self.user_status_select)\\n if change_pwd:\\n self.click(self.change_password)\\n self.input_text(password, self.user_password_input)\\n self.input_text(password, self.user_confirm_password)\\n self.click(self.user_edit_save_btn)\\n self.wait_unit_el_present(self.user_table)\\n Log.info(\\\"User is edited and saved.\\\")\",\n \"def save_model(self, request, obj, form, change):\\n obj.propietario = request.user\\n obj.save()\",\n \"def postEditUser(self, request):\\n\\n userForm = UserEditForm(instance=request.user, data=request.POST)\\n profileForm = ProfileEditForm(instance=request.user.profile, data=request.POST)\\n\\n if userForm.is_valid() and profileForm.is_valid():\\n userForm.save()\\n profileForm.save()\\n else:\\n with open('file.txt', 'w', encoding='utf-8') as file:\\n print(f'not valid', file=file)\",\n \"def do_edit(self, args):\\n member = None\\n rowid = args.split(' ')[0]\\n \\n # loop till we get a rowid which matches a member in the database\\n while True:\\n rowid = self.validateRowid(rowid)\\n if rowid is None:\\n rowid = input('Enter member id: ')\\n continue\\n \\n member = self.roster.get(rowid)\\n if member is None:\\n print(\\\"No member with id of %d\\\" % rowid)\\n # rowid will get validated again, but it's the same value\\n # which already passed validation\\n continue\\n \\n break\\n \\n print('Editing %s %s' % (member.first, member.last))\\n print('Type new value, hit enter to keep current value, or enter spaces to clear a value')\\n member.first = self.getNewValue('First name', member.first)\\n member.last = self.getNewValue('Last name', member.last)\\n member.introducedDate = self.getNewValue('introduced date', member.introducedDate) \\n \\n self.roster.update(member)\",\n \"def user_update(user, action, change, data={}):\\n return user, action, change()\",\n \"def edit(self, *args, **kw):\\n tmpl_context.widget = self.edit_form\\n #pks = self.provider.get_primary_fields(self.model)\\n \\n log.debug(\\\"soyRomperLB= %s\\\" %kw)\\n\\n ###########################################\\n pks = self.provider.get_primary_fields(self.model)\\n \\n ###########################################\\n kw = {}\\n for i, pk in enumerate(pks):\\n kw[pk] = args[i]\\n value = self.edit_filler.get_value(kw)\\n value['_method'] = 'PUT'\\n return dict(value=value, model=self.model.__name__, pk_count=len(pks))\",\n \"def add_admin(user_id=None):\\r\\n try:\\r\\n if user_id:\\r\\n user = db.session.query(model.user.User)\\\\\\r\\n .get(user_id)\\r\\n require.user.update(user)\\r\\n if user:\\r\\n user.admin = True\\r\\n db.session.commit()\\r\\n return redirect(url_for(\\\".users\\\"))\\r\\n else:\\r\\n msg = \\\"User not found\\\"\\r\\n return format_error(msg, 404)\\r\\n except Exception as e: # pragma: no cover\\r\\n current_app.logger.error(e)\\r\\n return abort(500)\",\n \"def save_edit(request, post_id):\\n if request.method == \\\"PUT\\\":\\n data = json.loads(request.body)\\n user = request.user\\n post = Post.objects.get(id=post_id)\\n content = data.get(\\\"content\\\", \\\"\\\")\\n # Check to make sure user attempting edit is author\\n if user == post.author:\\n post.content = content\\n post.save()\\n return JsonResponse({\\\"content\\\": post.content})\\n else:\\n return JsonResponse({\\\"message\\\": \\\"Not authorized to edit\\\"})\",\n \"def on_model_change(self, form, model, is_created):\\n if not current_user.is_active or not current_user.is_authenticated:\\n abort(403)\\n elif is_created:\\n if not user_has_permission(current_user, 'can_create','bigfirms'):\\n abort(403)\\n else:\\n if not user_has_permission(current_user, 'can_edit','bigfirms'):\\n abort(403)\",\n \"def add_user():\\n\\n roles = Role.query.all()\\n\\n user_form = UserForm(request.form)\\n user_form.roles.choices = [(i.name,i.name) for i in roles]\\n\\n if user_form.validate_on_submit():\\n\\n if not request.form['username'] or request.form['username'] == '' :\\n flash(\\\"No null or empty values are allowed.\\\",\\\"warn\\\")\\n return render_template('user/add_edit_user.html', title='Add User',add=True,\\n user_form=user_form)\\n if not request.form['email'] or request.form['email'] == '' :\\n flash(\\\"No null or empty values are allowed.\\\",\\\"warn\\\")\\n return render_template('user/add_edit_user.html', title='Add User',add=True,\\n user_form=user_form)\\n if not request.form['password'] or request.form['password'] == '' :\\n flash(\\\"No null or empty values are allowed.\\\",\\\"warn\\\")\\n return render_template('user/add_edit_user.html', title='Add User',add=True,\\n user_form=user_form)\\n if request.form['password'] != request.form['retype_password']:\\n flash(\\\"Passwords are not the same!\\\",\\\"warn\\\")\\n return render_template('user/add_edit_user.html', title='Add User',add=True,\\n user_form=user_form)\\n\\n hashed_password = user_manager.hash_password(user_form.password.data)\\n new_user = User(\\n username=user_form.username.data,\\n email=user_form.email.data,\\n password=hashed_password,\\n confirmed_at=datetime.datetime.utcnow(),\\n is_enabled=user_form.is_enabled.data,\\n first_name=user_form.first_name.data,\\n last_name=user_form.last_name.data,\\n locale=user_form.locale.data,\\n timezone=user_form.timezone.data\\n )\\n\\n # Si existe la lista de roles que hemos elegido se anadira al usuario\\n if user_form.roles.data:\\n for rol in roles:\\n if rol.name in user_form.roles.data:\\n new_user.roles.add(rol)\\n try:\\n correct = True\\n db.session.add(new_user)\\n db.session.commit()\\n\\n except Exception as e:\\n # Catch anything unknown\\n print(e)\\n correct = False\\n\\n finally:\\n if not correct:\\n # Cleanup and show error\\n db.session.rollback()\\n flash('Error creating user, make sure username and email are unique','error')\\n\\n else:\\n flash('Congratulations, you have created a new user!','success')\\n return redirect(url_for('user_ksat.manage_user'))\\n\\n\\n return render_template('user/add_edit_user.html', title='Add User',add=True,user_form=user_form)\",\n \"def edit_item(self, item_id, name, description, category_id, user_id):\\r\\n item = self._db_manager.get_item(item_id)\\r\\n if item is None:\\r\\n flash(\\\"Invalid item.\\\")\\r\\n return\\r\\n if item[\\\"user_id\\\"] != user_id:\\r\\n flash(\\\"Only the original creator can edit an item.\\\")\\r\\n return\\r\\n category = self._db_manager.get_category(category_id)\\r\\n if category is None:\\r\\n flash(\\\"Invalid category.\\\")\\r\\n return\\r\\n if category[\\\"user_id\\\"] != user_id:\\r\\n flash(\\\"You can only add items to categories you created.\\\")\\r\\n return\\r\\n flash(self._db_manager.edit_item(\\r\\n item_id=item_id,\\r\\n name=name,\\r\\n description=description,\\r\\n category_id=category_id\\r\\n ))\",\n \"def on_model_change(self, form, model, is_created):\\n if not current_user.is_active or not current_user.is_authenticated:\\n abort(403)\\n elif is_created:\\n if not user_has_permission(current_user, 'can_create','specialties'):\\n abort(403)\\n else:\\n if not user_has_permission(current_user, 'can_edit','specialties'):\\n abort(403)\",\n \"def add(request):\\n\\n context = {}\\n forms = TodoForm()\\n if request.method == \\\"POST\\\":\\n forms = TodoForm(request.POST or None)\\n if forms.is_valid():\\n # If form is valid then create the todo\\n forms = forms.save()\\n # Update the user of new created user to be the logged in user\\n forms.user = request.user\\n # Save updated form\\n forms.save()\\n # Redirect to the home page\\n return redirect(\\\"index\\\")\\n \\n context['form'] = forms\\n return render(request, \\\"todos/add.html\\\", context)\",\n \"def has_add_permission(self, request):\\n return self.has_generic_permission(request, \\\"add\\\")\",\n \"def edit_object(obj):\\n return __EditMode(obj)\",\n \"def on_model_change(self, form, model, is_created):\\n if not current_user.is_active or not current_user.is_authenticated:\\n abort(403)\\n elif is_created:\\n if not user_has_permission(current_user, 'can_create','occupations'):\\n abort(403)\\n else:\\n if not user_has_permission(current_user, 'can_edit','occupations'):\\n abort(403)\",\n \"def test_user_update_request(self):\\n pass\",\n \"def edit_post(post_id):\\n\\n post_data = {\\\"id\\\": post_id}\\n db_post = Post.query.get_or_404(post_id)\\n post_data[\\\"title\\\"] = db_post.title\\n post_data[\\\"content\\\"] = db_post.content\\n post_data[\\\"user_id\\\"] = db_post.user_id\\n\\n return render_template(\\\"edit_post.html\\\", headline=\\\"Add New Blogly User\\\", post=post_data)\",\n \"def test_edit(self):\\n r = main.List.connection()\\n main.List.add(r, \\\"ToDo\\\", 1, \\\"Buy apples\\\", 2, \\\"20.05.2015\\\")\\n main.List.edit(r, \\\"ToDo\\\", 1, \\\"Buy bananas, not apples\\\", 2, \\\"20.05.2015\\\")\\n task = main.List.pull_from_redis(r, \\\"ToDo\\\", False)\\n if task and task is not None:\\n check = task[\\\"1\\\"][\\\"description\\\"] == \\\"Buy bananas, not apples\\\"\\n self.assertTrue(check, \\\"Editing failed.\\\")\",\n \"def action_add(request, employee_id=None):\\n if employee_id:\\n employee = Employee.objects.get(pk=employee_id)\\n current_employee = Employee.objects.get(user__pk=request.user.pk)\\n if not current_employee.isEnsoUser() and current_employee.company.pk != employee.company.pk:\\n raise PermissionDenied()\\n else:\\n employee = request.user.employee_user.first()\\n if request.method == 'POST':\\n form = ActionForm(request.POST)\\n if form.is_valid():\\n form.save(request.user, employee)\\n return HttpResponseRedirect('/action/%d' % form.instance.pk)\\n else:\\n form = ActionForm()\\n return TemplateResponse(\\n request,\\n 'mus/action_edit.html',\\n dict(\\n form=form\\n )\\n )\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.746256","0.70134765","0.68477565","0.68377763","0.6837059","0.66111666","0.65164244","0.6491908","0.6365437","0.62689954","0.6266815","0.62600476","0.62545645","0.62244517","0.6216448","0.62075764","0.6207041","0.6185706","0.61667067","0.6128112","0.61276394","0.6114637","0.6112909","0.61095464","0.6088678","0.60650355","0.6052516","0.6046163","0.60442096","0.6036275","0.60237384","0.59971076","0.599668","0.59844315","0.5959134","0.5946048","0.5946048","0.59351814","0.5925258","0.59135","0.5897037","0.588398","0.5876083","0.58513767","0.5851346","0.5845367","0.5830587","0.5827774","0.5824763","0.5818016","0.5813555","0.5810988","0.58082664","0.58066916","0.57995355","0.57993716","0.5786924","0.57767403","0.5772101","0.5771559","0.576557","0.57636476","0.57605344","0.57571036","0.5748421","0.5748421","0.5745715","0.5744599","0.57435554","0.57378346","0.5734799","0.57304156","0.572458","0.57218003","0.5708216","0.5701513","0.56952345","0.56944627","0.5693125","0.5686359","0.5680793","0.56793827","0.5675778","0.5671834","0.5660521","0.56578887","0.5654054","0.5651852","0.5648949","0.5648846","0.5648024","0.5647919","0.5645512","0.5645052","0.56435555","0.5641293","0.5640426","0.56350183","0.5630369","0.56254625","0.56242806"],"string":"[\n \"0.746256\",\n \"0.70134765\",\n \"0.68477565\",\n \"0.68377763\",\n \"0.6837059\",\n \"0.66111666\",\n \"0.65164244\",\n \"0.6491908\",\n \"0.6365437\",\n \"0.62689954\",\n \"0.6266815\",\n \"0.62600476\",\n \"0.62545645\",\n \"0.62244517\",\n \"0.6216448\",\n \"0.62075764\",\n \"0.6207041\",\n \"0.6185706\",\n \"0.61667067\",\n \"0.6128112\",\n \"0.61276394\",\n \"0.6114637\",\n \"0.6112909\",\n \"0.61095464\",\n \"0.6088678\",\n \"0.60650355\",\n \"0.6052516\",\n \"0.6046163\",\n \"0.60442096\",\n \"0.6036275\",\n \"0.60237384\",\n \"0.59971076\",\n \"0.599668\",\n \"0.59844315\",\n \"0.5959134\",\n \"0.5946048\",\n \"0.5946048\",\n \"0.59351814\",\n \"0.5925258\",\n \"0.59135\",\n \"0.5897037\",\n \"0.588398\",\n \"0.5876083\",\n \"0.58513767\",\n \"0.5851346\",\n \"0.5845367\",\n \"0.5830587\",\n \"0.5827774\",\n \"0.5824763\",\n \"0.5818016\",\n \"0.5813555\",\n \"0.5810988\",\n \"0.58082664\",\n \"0.58066916\",\n \"0.57995355\",\n \"0.57993716\",\n \"0.5786924\",\n \"0.57767403\",\n \"0.5772101\",\n \"0.5771559\",\n \"0.576557\",\n \"0.57636476\",\n \"0.57605344\",\n \"0.57571036\",\n \"0.5748421\",\n \"0.5748421\",\n \"0.5745715\",\n \"0.5744599\",\n \"0.57435554\",\n \"0.57378346\",\n \"0.5734799\",\n \"0.57304156\",\n \"0.572458\",\n \"0.57218003\",\n \"0.5708216\",\n \"0.5701513\",\n \"0.56952345\",\n \"0.56944627\",\n \"0.5693125\",\n \"0.5686359\",\n \"0.5680793\",\n \"0.56793827\",\n \"0.5675778\",\n \"0.5671834\",\n \"0.5660521\",\n \"0.56578887\",\n \"0.5654054\",\n \"0.5651852\",\n \"0.5648949\",\n \"0.5648846\",\n \"0.5648024\",\n \"0.5647919\",\n \"0.5645512\",\n \"0.5645052\",\n \"0.56435555\",\n \"0.5641293\",\n \"0.5640426\",\n \"0.56350183\",\n \"0.5630369\",\n \"0.56254625\",\n \"0.56242806\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":86768,"cells":{"query":{"kind":"string","value":"Test user can not create without permission"},"document":{"kind":"string","value":"def test_no_permission(self):\n self.assertStatusCode(self.url, 403)"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def test_if_not_created_authenticated_permissions(self):\r\n payload = {\r\n \"email\": \"t@t.pl\",\r\n \"password\": \"password\",\r\n \"name\": \"asdasd\",\r\n \"is_superuser\": False,\r\n }\r\n\r\n res = self.client_authenticated.post(reverse(CREATE_USER_URL),data=payload)\r\n self.assertEqual(res.status_code, status.HTTP_403_FORBIDDEN)","def test_create_user(self):\n pass","def test_create_user(self):\n pass","def test_create_user(self):\n pass","def testCreateIsAllowed(self):\n self.users.create([(u'user', u'secret', u'User', u'user@example.com')])\n user = getUser(u'user')\n self.assertEqual(u'user', user.username)","def test_user(self):\n return True","def test_add_permission(self):\r\n self.assertFalse(self.creator_admin.has_add_permission(self.request))","def test_create_with_permissions(self):\n permissions = Permission.objects.filter(name__in=('Can add course mode', 'Can change course mode'))\n for permission in permissions:\n self.user.user_permissions.add(permission)\n\n self.assert_can_create_course()","def test_not_owner(self):\n creating_user = create_user()\n creating_user.save()\n festival = create_festival('test', creating_user)\n festival.save()\n\n concert = create_concert(festival, 'test')\n concert.save()\n\n login(self.client)\n\n client = create_client('test')\n client.delete_access = True\n client.save()\n\n response = self.client.post('/backend/u/conc/', {'client': 'test', 'id': concert.pk})\n self.assertEqual(response.status_code, 200)\n self.assertEqual('Permission not granted', response.content.decode('utf-8'))","def test_no_permissions(self):\n\n login(self.client)\n\n client = create_client('test')\n client.write_access = False\n client.save()\n response = self.client.post('/backend/u/conc/', {'client': 'test', 'id': 3})\n self.assertEqual(response.status_code, 200)\n self.assertEqual('Permission not granted', response.content.decode('utf-8'))","def test_if_created_superusers_permissions(self):\r\n payload = {\r\n \"email\": \"t@t.pl\",\r\n \"password\": \"password\",\r\n \"name\": \"asdasd\",\r\n \"is_superuser\": False,\r\n }\r\n\r\n res = self.client_superuser.post(reverse(CREATE_USER_URL),data=payload)\r\n self.assertEqual(res.status_code, status.HTTP_201_CREATED)","def test_create(self):\n urls = [reverse('api:user-list')]\n data = {\n \"username\": \"newuser\",\n \"email\": \"newuser@example.com\",\n \"password\": \"password\"\n }\n access = {\n \"forbidden\": [self.anonymous_client, self.readonly_client, self.custodian_1_client],\n \"allowed\": [self.admin_client]\n }\n for client in access['forbidden']:\n for url in urls:\n self.assertIn(\n client.post(url, data, format='json').status_code,\n [status.HTTP_401_UNAUTHORIZED, status.HTTP_403_FORBIDDEN]\n )\n\n for client in access['allowed']:\n for url in urls:\n self.assertEqual(\n client.post(url, data, format='json').status_code,\n status.HTTP_201_CREATED\n )","def test_staff_permission_required(self):\r\n with self.assertRaises(PermissionDenied):\r\n add_user_with_status_granted(self.user, self.user)\r\n\r\n with self.assertRaises(PermissionDenied):\r\n update_course_creator_group(self.user, self.user, True)","def create_test_user(self):\n user = User.objects.create_user(\n username='test@email.com', password='password')\n user.groups.add(self.group)\n user.user_permissions.add(p('wagtailadmin.access_admin'))\n user.save()\n return user","def test_dont_create_user(self):\n self.assertFalse(User.objects.exists())","def test_post_creation_regular_user(self):\n url = reverse('post-list')\n user_url = reverse('user-detail', kwargs={'pk': self.superuser.id})\n title = 'Test Title'\n body = 'Test Body'\n self.client.force_authenticate(user=self.user)\n response = self.client.post(url, {'title': title, 'body': body, 'user': user_url}, format='json')\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)","def test_handle_create_not_admin(self):\n test_user = User(\"userid\")\n test_user.github_username = \"githubuser\"\n self.db.retrieve.return_value = test_user\n self.gh.org_create_team.return_value = \"team_id\"\n inputstring = \"team create b-s --name 'B S'\"\n self.assertTupleEqual(self.testcommand.handle(inputstring, user),\n (self.testcommand.permission_error, 200))\n self.db.store.assert_not_called()","def test_createUser_single(self):\n #TODO: this and other tests","def test_not_creator_cannot_update(self):\n\n logged_user = utils.create_user_and_authenticate(self)\n self.group.users.add(logged_user)\n expected_url = reverse('my_groups_view')\n\n utils.test_cannot_access(self, self.url,\n expected_url=expected_url,\n data=self.data)","def test_create_super_user(self):\n user = get_user_model().objects.create_superuser(\"test@asd.com\", \"test123\")\n\n self.assertTrue(user.is_superuser)\n self.assertTrue(user.is_staff)","def test_creator_group_not_enabled(self):\r\n self.assertTrue(has_access(self.user, CourseCreatorRole()))","def can_create(cls, user, **data):\n raise Return(True)","def test_create_new_superuser(self):\n user = get_user_model().objects.create_superuser(\n 'root@gmail.com',\n 'test123'\n )\n\n self.assertTrue(user.is_superuser)\n self.assertTrue(user.is_staff)","def test_project_create_cant_edit_users_existing_user(self):\n user = fake_clients.FakeUser(name=\"test@example.com\")\n\n setup_identity_cache(users=[user])\n\n url = \"/v1/actions/CreateProjectAndUser\"\n data = {\"project_name\": \"test_project\", \"email\": \"test@example.com\"}\n response = self.client.post(url, data, format=\"json\")\n self.assertEqual(response.status_code, status.HTTP_202_ACCEPTED)\n self.assertEqual(response.json(), {\"notes\": [\"task created\"]})\n task = Task.objects.all()[0]\n action_models = task.actions\n actions = [act.get_action() for act in action_models]\n self.assertTrue(all([act.valid for act in actions]))","def test_new_superuser(self):\n user = get_user_model().objects.create_superuser(\n 'support@google.com',\n 'ezea'\n ) \n self.assertTrue(user.is_staff)\n self.assertTrue(user.is_superuser)","def testCreateIsDenied(self):\n values = [(u'user', u'secret', u'User', u'user@example.com')]\n error = self.assertRaises(PermissionDeniedError, self.users.create,\n values)\n self.assertEqual(self.user.username, error.username)\n self.assertEqual([(u'user', Operation.CREATE_USER)],\n error.pathsAndOperations)","def testCreateIsDenied(self):\n values = [(u'user', u'secret', u'User', u'user@example.com')]\n error = self.assertRaises(PermissionDeniedError, self.users.create,\n values)\n self.assertEqual(self.user.username, error.username)\n self.assertEqual([(u'user', Operation.CREATE_USER)],\n error.pathsAndOperations)","def test_create_new_superuser(self):\n user = get_user_model().objects.create_superuser(\n \"test@gmail.com\",\n \"test123\"\n )\n\n self.assertTrue(user.is_superuser)\n self.assertTrue(user.is_staff)","def test_create__forbidden(self):\n testing_config.sign_in('one@example.com', 123567890)\n\n with test_app.test_request_context(self.request_path):\n with self.assertRaises(werkzeug.exceptions.Forbidden):\n self.handler.do_post(self.appuser_id)\n\n new_appuser = user_models.AppUser.query(\n user_models.AppUser.email == 'new@example.com').get()\n self.assertIsNone(new_appuser)","def test_allowed_if_superuser(self):\n\n @task_or_superuser_only\n def view(request):\n return HttpResponse(\"Hello\")\n\n class User(object):\n is_superuser = True\n is_authenticated = True\n\n request = self.factory.get(\"/\")\n request.user = None\n response = view(request)\n self.assertEqual(response.status_code, 403)\n\n request.user = User()\n response = view(request)\n self.assertEqual(response.status_code, 200)","def test_create_new_superuser(self):\n user = get_user_model().objects.create_superuser(\n 'test@gmail.com',\n 'test123'\n )\n\n self.assertTrue(user.is_superuser)\n self.assertTrue(user.is_staff)","def test_create_new_superuser(self):\n user = get_user_model().objects.create_superuser(\n 'test@reciopcce.com',\n 'fghdjdkricc'\n )\n self.assertTrue(user.is_superuser, True)\n self.assertTrue(user.is_staff, True)","def test_create_new_superuser(self):\n user = get_user_model().objects.create_superuser(\n 'admin@admin.com',\n 'admin123456'\n )\n\n self.assertTrue(user.is_superuser)\n self.assertTrue(user.is_staff)","def test_create_new_superuser(self):\n user = get_user_model().objects.create_superuser(\n 'test@gmail.com',\n 'test123',\n )\n\n self.assertTrue(user.is_superuser)\n self.assertTrue(user.is_staff)","def testGetIsAllowed(self):\n UserAPI().create([(u'user', u'secret', u'User', u'user@example.com')])\n result = self.users.get([u'user'])\n self.assertIn(u'user', result)","def testGetIsAllowed(self):\n UserAPI().create([(u'user', u'secret', u'User', u'user@example.com')])\n result = self.users.get([u'user'])\n self.assertIn(u'user', result)","def test_post_creation_unauthorized(self):\n url = reverse('post-list')\n user_url = reverse('user-detail', kwargs={'pk': self.superuser.id})\n title = 'Test Title'\n body = 'Test Body'\n response = self.client.post(url, {'title': title, 'body': body, 'user': user_url}, format='json')\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)","def test_create_new_super_user(self):\n user = get_user_model().objects.create_superuser(\n 'test@test.con', 'test123'\n )\n self.assertTrue(user.is_superuser)\n self.assertTrue(user.is_staff)\n self.assertEqual(user.role, Role.ADMIN)","def test_create_new_super_user(self):\n user = get_user_model().objects.create_superuser(\n email=\"test@hello.com\",\n password=\"testblabla123\"\n )\n self.assertTrue(user.is_superuser)\n self.assertTrue(user.is_staff)","def test_create_new_superuser(self):\n user = get_user_model().objects.create_superuser(\n 'scottakirschner@gmail.com',\n 'test123'\n )\n\n self.assertTrue(user.is_superuser)\n self.assertTrue(user.is_staff)","def test_unauthorized_create_user(self):\n res = self.submit()\n\n assert res.status_code == 401","def test_add_user(self):\n pass","def test_project_create_cant_edit_users(self):\n setup_identity_cache()\n\n url = \"/v1/actions/CreateProjectAndUser\"\n data = {\"project_name\": \"test_project\", \"email\": \"test@example.com\"}\n response = self.client.post(url, data, format=\"json\")\n self.assertEqual(response.status_code, status.HTTP_202_ACCEPTED)\n self.assertEqual(response.json(), {\"notes\": [\"task created\"]})\n task = Task.objects.all()[0]\n action_models = task.actions\n actions = [act.get_action() for act in action_models]\n self.assertFalse(all([act.valid for act in actions]))","def test_create_new_superuser(self):\n user = get_user_model().objects.create_superuser(\n email='testuser@abc.com',\n password='userpass123'\n )\n\n self.assertTrue(user.is_superuser)\n self.assertTrue(user.is_staff)","def test_create_superuser(self):\n user = User.objects.create_superuser(username=\"admin\", email=\"admin@admin.com\", password=\"password\")\n self.assertTrue(user.is_staff)\n self.assertTrue(user.is_superuser)","def test_new_superuser(self):\n\n user = \\\n get_user_model().objects.create_superuser('test@londonappdev.com'\n , 'test123')\n\n self.assertTrue(user.is_superuser)\n self.assertTrue(user.is_staff)","def test_create_successful(self):\n self.webkom.add_user(self.disallowed_user)\n request = self.factory.post(\"/permissiontest/\", self.test_update_object)\n force_authenticate(request, self.disallowed_user)\n view = TestViewSet.as_view({\"post\": \"create\"})\n\n response = view(request)\n created = response.data\n\n self.assertEqual(response.status_code, status.HTTP_201_CREATED)\n self.assertEqual(created[\"name\"], self.test_update_object[\"name\"])","def testGetIsAllowed(self):\n UserAPI().create([(u'username', u'secret', u'Username',\n u'user@example.com')])\n result = self.users.get([u'username'])\n self.assertIn(u'username', result)","def test_new_user_not_my_project(self):\n setup_identity_cache()\n\n url = \"/v1/actions/InviteUser\"\n headers = {\n \"project_name\": \"test_project\",\n \"project_id\": \"test_project_id\",\n \"roles\": \"member\",\n \"username\": \"test@example.com\",\n \"user_id\": \"test_user_id\",\n \"authenticated\": True,\n }\n data = {\n \"email\": \"test@example.com\",\n \"roles\": [\"member\"],\n \"project_id\": \"test_project_id\",\n }\n response = self.client.post(url, data, format=\"json\", headers=headers)\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)","def test_user_creation(self):\n self.assertTrue(User.objects.exists())","def test_new_superuser(self):\n user = get_user_model().objects.create_superuser(\n 'test@gmail.com',\n 'test123'\n )\n\n self.assertTrue(user.is_superuser)\n self.assertTrue(user.is_staff)","def test_not_creator_cannot_delete(self):\n\n logged_user = utils.create_user_and_authenticate(self)\n self.group.users.add(logged_user)\n expected_url = reverse('my_groups_view')\n\n utils.test_cannot_access(self, self.url, expected_url)\n self.assertEqual(len(Group.objects.all()), 1)","def test_create_new_superuser(self):\n user = get_user_model().objects.create_superuser(\n 'test@tslabs.com',\n 'test123'\n )\n\n self.assertTrue(user.is_superuser)\n self.assertTrue(user.is_staff)","def test_create_new_superuser(self):\n\n user = get_user_model().objects.create_superuser(\n 'test@testemail.com',\n 'password123'\n )\n\n # is_superuser is part of PermissionsMixin\n self.assertTrue(user.is_superuser) # checks if user is superuser\n self.assertTrue(user.is_staff) # checks if user is staff","def test_api_can_create_users(self):\n res = self.client().post('/api/v1/user/', data = self.req)\n self.assertEquals(res.status_code, 200)\n self.assertIn('mary', str(res.data))","def test_create_super_user(self):\n user = get_user_model().objects.create_superuser(\n email='admin@1234',\n password='adminpassword'\n )\n\n self.assertTrue(user.is_superuser)\n self.assertTrue(user.is_staff)","def test_status_code_for_privileged_user(self):\n self.grant_permission()\n self.client.login(username=\"john\", password=\"pass\")\n response = self.client.get(self.get_url())\n self.assertEqual(response.status_code, self.status_has_permission)","def test_change_permission(self):\r\n self.assertTrue(self.creator_admin.has_change_permission(self.request))\r\n\r\n self.request.user = self.user\r\n self.assertFalse(self.creator_admin.has_change_permission(self.request))","def test_if_not_created_unauthorized(self):\r\n payload = {\r\n \"email\": \"t@t.pl\",\r\n \"password\": \"password\",\r\n \"name\": \"asdasd\",\r\n \"is_superuser\": False,\r\n }\r\n\r\n res = self.client_not_authenticated.post(reverse(CREATE_USER_URL),data=payload)\r\n self.assertEqual(res.status_code, status.HTTP_401_UNAUTHORIZED)","def test_add_user_not_authenticated(self):\r\n with mock.patch.dict(\r\n 'django.conf.settings.FEATURES',\r\n {'DISABLE_COURSE_CREATION': False, \"ENABLE_CREATOR_GROUP\": True}\r\n ):\r\n anonymous_user = AnonymousUser()\r\n role = CourseCreatorRole()\r\n add_users(self.admin, role, anonymous_user)\r\n self.assertFalse(has_access(anonymous_user, role))","def test_new_superuser() -> None:\r\n user = get_user_model().objects.create_superuser(\"email@email.com\", \"test123\")\r\n\r\n assert user.is_superuser\r\n assert user.is_staff","def test_create_delegate_unauthorized(self):\n # Create new user and grant delegate role\n new_user = self.make_user('new_user')\n self.make_assignment(self.project, new_user, self.role_contributor)\n new_user_token = self.get_token(new_user)\n url = reverse(\n 'projectroles:api_role_create',\n kwargs={'project': self.project.sodar_uuid},\n )\n post_data = {\n 'role': PROJECT_ROLE_DELEGATE,\n 'user': str(self.assign_user.sodar_uuid),\n }\n response = self.request_knox(\n url, method='POST', data=post_data, token=new_user_token\n )\n self.assertEqual(response.status_code, 403, msg=response.content)","def test_create_course_no_course_creators_not_staff(self):\r\n with mock.patch.dict('django.conf.settings.FEATURES', {\"ENABLE_CREATOR_GROUP\": True}):\r\n self.user.is_staff = False\r\n self.user.save()\r\n self.assert_course_permission_denied()","def test_user_without_share(self):\n set_permission(Permission.EDIT, self.user1, self.collection)\n\n # Can not add permissions to users.\n data = {\"users\": {self.user2.pk: \"view\"}}\n resp = self._detail_permissions(self.collection.pk, data, self.user1)\n self.assertEqual(resp.status_code, status.HTTP_403_FORBIDDEN)\n\n # Can not add permissions to groups.\n data = {\"users\": {self.group.pk: \"view\"}}\n resp = self._detail_permissions(self.collection.pk, data, self.user1)\n self.assertEqual(resp.status_code, status.HTTP_403_FORBIDDEN)","def test_get_permissions(self):\n pass","def test_creating_new_superuser(self):\n user = get_user_model().objects.create_superuser(\n email=\"staff@admin.com\",\n password=\"Lorem12345\"\n )\n\n self.assertTrue(user.is_staff)\n self.assertTrue(user.is_superuser)","def test_create(self):\n pass","def test_can_info_does_not_exist(self):\n fake_user = User(username='Fake', password='')\n self.assertFalse(send_rotate_to_can(fake_user, self.BIN_NUM))","def test_registered_user_can_create_project(self):\n user = self._create_user({\"username\":\"user2\",\"email\":\"ab@cd.com\"})\n testproject = self._create_comicsite_in_admin(user,\"user1project\") \n testpage1 = create_page_in_admin(testproject,\"testpage1\")\n testpage2 = create_page_in_admin(testproject,\"testpage2\")\n \n self._test_page_can_be_viewed(user,testpage1)\n self._test_page_can_be_viewed(self.root,testpage1)","def test_create_superuser(self):\n user = get_user_model().objects.create_superuser(\n 'mail@domain.com',\n 'password@123'\n )\n\n self.assertEqual(user.is_superuser, True)\n self.assertEqual(user.is_staff, True)","def test_only_admin_can_create_product(self):\n resp = self.admin_create_user()\n reply = self.attendant_login()\n token = reply['token']\n product = dict(\n prod_name='NY_denims',\n category='denims',\n stock=20,\n price=150\n )\n resp = self.client.post(\n '/api/v1/products',\n content_type='application/json',\n data=json.dumps(product),\n headers={'Authorization': 'Bearer {}'.format(token)}\n )\n reply = json.loads(resp.data.decode())\n\n self.assertEqual(reply['message'], 'Unauthorized Access!')\n self.assertEqual(resp.status_code, 401)","def test_project_administrator(project):\n if is_server_administrator():\n return True\n if is_project_administrator(project):\n return True\n return False","def test_first_user_is_admin(self):\n user = User.objects.create(username='username', email='foo@bar.com')\n self.assertTrue(user.is_staff)\n self.assertTrue(user.is_superuser)\n user = User.objects.create(username='username2', email='foo@bar.com')\n self.assertFalse(user.is_staff)\n self.assertFalse(user.is_superuser)","def test_add_user_to_course_group_permission_denied(self):\r\n add_users(self.global_admin, CourseInstructorRole(self.course_key), self.creator)\r\n add_users(self.global_admin, CourseStaffRole(self.course_key), self.creator)\r\n with self.assertRaises(PermissionDenied):\r\n add_users(self.staff, CourseStaffRole(self.course_key), self.staff)","def test_creating_a_new_super_user(self):\n\n user = get_user_model().objects.create_superuser(\n email=\"test@gmail.com\", password=\"Test12345\"\n )\n\n self.assertTrue(user.is_superuser)\n self.assertTrue(user.is_staff)","def test_add_facility_pt1(self):\n self.assertFalse(self.admin.has_perm('auth.add_facility'))","def test_create__normal_valid(self):\n testing_config.sign_in('admin@example.com', 123567890)\n\n json_data = {\n 'email': 'new_user@example.com',\n 'isAdmin': False, 'isSiteEditor': False}\n with test_app.test_request_context(self.request_path, json=json_data):\n actual_json = self.handler.do_post()\n self.assertEqual('new_user@example.com', actual_json['email'])\n self.assertFalse(actual_json['is_site_editor'])\n self.assertFalse(actual_json['is_admin'])\n\n new_appuser = (user_models.AppUser.query(\n user_models.AppUser.email == 'new_user@example.com').get())\n result_email = new_appuser.email\n result_is_admin = new_appuser.is_admin\n new_appuser.key.delete()\n self.assertEqual('new_user@example.com', result_email)\n self.assertFalse(result_is_admin)","def test_create_owner(self):\n url = reverse(\n 'projectroles:api_role_create',\n kwargs={'project': self.project.sodar_uuid},\n )\n post_data = {\n 'role': PROJECT_ROLE_OWNER,\n 'user': str(self.assign_user.sodar_uuid),\n }\n response = self.request_knox(url, method='POST', data=post_data)\n self.assertEqual(response.status_code, 400, msg=response.content)","def test_serve_user(self):\n pass","def test_user_can_create_a_project(self):\n self.assertEqual(project_model.Project.objects.get(user=self.test_user).pk, self.test_project.pk)","def test_08_create_user_not_exists(self):\n\n _, user = self.get_random_item(models.User)\n utils.create_user(user, session=self.session)\n success, error = utils.create_user(user, session=self.session)\n self.assertFalse(success)\n self.assertTrue(error)","def test_check_user(self):\n self.new_user.save_user()\n test_user = User(\"Test\", \"user\", \"test\", \"walIas15\")\n test_user.save_user()\n test_user.check_user(\"test\", \"walIas15\")","def test_user_is_really_create():\n response = api_helper.get_user(user_name=pytest.test_user.name)\n assert response.status_code == 200\n response_json_data = response.json()[\"data\"]\n assert len(response_json_data) == 1\n check_user_data_in_response(response_json_data[0])\n pytest.test_user.id = response_json_data[0]['id']","def test_api_video_create_staff_or_user(self):\n for user in [factories.UserFactory(), factories.UserFactory(is_staff=True)]:\n self.client.login(username=user.username, password=\"test\")\n response = self.client.post(\"/api/videos/\")\n self.assertEqual(response.status_code, 401)\n self.assertFalse(models.Video.objects.exists())","def test_username_is_writable_for_user_creation(self):\n request = Mock()\n assert 'username' not in self.admin.get_readonly_fields(request)","def test_resource_user_resource_add_user_post(self):\n pass","def test_able_to_create_a_user():\n response = api_helper.create_user(pytest.test_user)\n assert response.status_code == 201\n check_user_data_in_response(response.json()[\"data\"])","def not_test_without_user(self):\n # TODO","def test_user_creation(self):\r\n \r\n self.assertIsInstance(self.user, User)","def setUp(self):\n a, b, c = (\n User.objects.create_user(guy, email=\"%s@example.org\" % guy, password=guy)\n for guy in \"abc\"\n )\n a.is_superuser = True\n a.save()","def test_authenticated_user_create(self):\r\n with self.flask_app.test_request_context('/'):\r\n for token in self.auth_providers:\r\n assert_raises(Forbidden,\r\n getattr(require, 'token').create,\r\n token)","def test_delete_permission(self):\r\n self.assertFalse(self.creator_admin.has_delete_permission(self.request))","def test_create(km_user_factory):\n models.Profile.objects.create(\n is_private=True, km_user=km_user_factory(), name=\"My Profile\"\n )","def test_not_creator_cannot_update_tab(self):\n\n logged_user = utils.create_user_and_authenticate(self)\n self.group.users.add(logged_user)\n expected_url = reverse('group_view', args=(self.group.pk,))\n\n utils.test_cannot_access(self, self.url, expected_url, self.data)","def test_superuser():\n assert os.geteuid() == 0, \"Need ROOT access in order to run tests.\"","def test_superuser_create(self):\n user_count = User.objects.count()\n super_user = User.objects.create_superuser(email='test@test.com', password='test')\n self.assertTrue(User.objects.count() == user_count + 1)\n self.assertTrue(super_user.is_staff)\n self.assertTrue(super_user.is_superuser)\n with self.assertRaises(ValueError, msg='Superuser must have is_staff=True'):\n User.objects.create_superuser(email='test@test.com', password='test', is_staff=False)\n with self.assertRaises(ValueError, msg='Superuser must have is_superuser=True'):\n User.objects.create_superuser(\n email='test@test.com',\n password='test',\n is_superuser=False)","def test_add_facility_pt3(self):\n self.assertFalse(self.learner1.has_perm('auth.add_facility'))","def test_normal_user(self):\n user = User.objects.create_user('testuser', 'email@example.com',\n 'testpass')\n user.save()\n\n # Login\n response = self.client.post(login_url, {\n 'username': 'testuser',\n 'password': 'testpass'\n })\n self.assertEqual(200, response.status_code)\n\n response = self.client.get(telemetry_url)\n self.assertEqual(403, response.status_code)","def test_admin_cannot_create_user_with_different_roles(self):\n resp = self.admin_register()\n reply = self.admin_login()\n token = reply['token']\n user = dict(\n name='Summer Love',\n username='love',\n password='Andela8',\n role='supervisor'\n )\n\n resp = self.client.post(\n '/api/v1/users',\n content_type='application/json',\n data=json.dumps(user),\n headers={'Authorization': 'Bearer {}'.format(token)}\n )\n\n reply = json.loads(resp.data.decode())\n\n self.assertEqual(reply['message'], 'role should either be admin or attendant')\n self.assertEqual(resp.status_code, 400)","def test_create_new_superuser(self):\n user = get_user_model().objects.create_superuser(\n email=self.test_user_email,\n password=self.test_user_pass,\n name=self.test_user_name\n )\n\n self.assertTrue(user.is_superuser)","def test_server_administrator():\n if is_server_administrator():\n return True\n raise False"],"string":"[\n \"def test_if_not_created_authenticated_permissions(self):\\r\\n payload = {\\r\\n \\\"email\\\": \\\"t@t.pl\\\",\\r\\n \\\"password\\\": \\\"password\\\",\\r\\n \\\"name\\\": \\\"asdasd\\\",\\r\\n \\\"is_superuser\\\": False,\\r\\n }\\r\\n\\r\\n res = self.client_authenticated.post(reverse(CREATE_USER_URL),data=payload)\\r\\n self.assertEqual(res.status_code, status.HTTP_403_FORBIDDEN)\",\n \"def test_create_user(self):\\n pass\",\n \"def test_create_user(self):\\n pass\",\n \"def test_create_user(self):\\n pass\",\n \"def testCreateIsAllowed(self):\\n self.users.create([(u'user', u'secret', u'User', u'user@example.com')])\\n user = getUser(u'user')\\n self.assertEqual(u'user', user.username)\",\n \"def test_user(self):\\n return True\",\n \"def test_add_permission(self):\\r\\n self.assertFalse(self.creator_admin.has_add_permission(self.request))\",\n \"def test_create_with_permissions(self):\\n permissions = Permission.objects.filter(name__in=('Can add course mode', 'Can change course mode'))\\n for permission in permissions:\\n self.user.user_permissions.add(permission)\\n\\n self.assert_can_create_course()\",\n \"def test_not_owner(self):\\n creating_user = create_user()\\n creating_user.save()\\n festival = create_festival('test', creating_user)\\n festival.save()\\n\\n concert = create_concert(festival, 'test')\\n concert.save()\\n\\n login(self.client)\\n\\n client = create_client('test')\\n client.delete_access = True\\n client.save()\\n\\n response = self.client.post('/backend/u/conc/', {'client': 'test', 'id': concert.pk})\\n self.assertEqual(response.status_code, 200)\\n self.assertEqual('Permission not granted', response.content.decode('utf-8'))\",\n \"def test_no_permissions(self):\\n\\n login(self.client)\\n\\n client = create_client('test')\\n client.write_access = False\\n client.save()\\n response = self.client.post('/backend/u/conc/', {'client': 'test', 'id': 3})\\n self.assertEqual(response.status_code, 200)\\n self.assertEqual('Permission not granted', response.content.decode('utf-8'))\",\n \"def test_if_created_superusers_permissions(self):\\r\\n payload = {\\r\\n \\\"email\\\": \\\"t@t.pl\\\",\\r\\n \\\"password\\\": \\\"password\\\",\\r\\n \\\"name\\\": \\\"asdasd\\\",\\r\\n \\\"is_superuser\\\": False,\\r\\n }\\r\\n\\r\\n res = self.client_superuser.post(reverse(CREATE_USER_URL),data=payload)\\r\\n self.assertEqual(res.status_code, status.HTTP_201_CREATED)\",\n \"def test_create(self):\\n urls = [reverse('api:user-list')]\\n data = {\\n \\\"username\\\": \\\"newuser\\\",\\n \\\"email\\\": \\\"newuser@example.com\\\",\\n \\\"password\\\": \\\"password\\\"\\n }\\n access = {\\n \\\"forbidden\\\": [self.anonymous_client, self.readonly_client, self.custodian_1_client],\\n \\\"allowed\\\": [self.admin_client]\\n }\\n for client in access['forbidden']:\\n for url in urls:\\n self.assertIn(\\n client.post(url, data, format='json').status_code,\\n [status.HTTP_401_UNAUTHORIZED, status.HTTP_403_FORBIDDEN]\\n )\\n\\n for client in access['allowed']:\\n for url in urls:\\n self.assertEqual(\\n client.post(url, data, format='json').status_code,\\n status.HTTP_201_CREATED\\n )\",\n \"def test_staff_permission_required(self):\\r\\n with self.assertRaises(PermissionDenied):\\r\\n add_user_with_status_granted(self.user, self.user)\\r\\n\\r\\n with self.assertRaises(PermissionDenied):\\r\\n update_course_creator_group(self.user, self.user, True)\",\n \"def create_test_user(self):\\n user = User.objects.create_user(\\n username='test@email.com', password='password')\\n user.groups.add(self.group)\\n user.user_permissions.add(p('wagtailadmin.access_admin'))\\n user.save()\\n return user\",\n \"def test_dont_create_user(self):\\n self.assertFalse(User.objects.exists())\",\n \"def test_post_creation_regular_user(self):\\n url = reverse('post-list')\\n user_url = reverse('user-detail', kwargs={'pk': self.superuser.id})\\n title = 'Test Title'\\n body = 'Test Body'\\n self.client.force_authenticate(user=self.user)\\n response = self.client.post(url, {'title': title, 'body': body, 'user': user_url}, format='json')\\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)\",\n \"def test_handle_create_not_admin(self):\\n test_user = User(\\\"userid\\\")\\n test_user.github_username = \\\"githubuser\\\"\\n self.db.retrieve.return_value = test_user\\n self.gh.org_create_team.return_value = \\\"team_id\\\"\\n inputstring = \\\"team create b-s --name 'B S'\\\"\\n self.assertTupleEqual(self.testcommand.handle(inputstring, user),\\n (self.testcommand.permission_error, 200))\\n self.db.store.assert_not_called()\",\n \"def test_createUser_single(self):\\n #TODO: this and other tests\",\n \"def test_not_creator_cannot_update(self):\\n\\n logged_user = utils.create_user_and_authenticate(self)\\n self.group.users.add(logged_user)\\n expected_url = reverse('my_groups_view')\\n\\n utils.test_cannot_access(self, self.url,\\n expected_url=expected_url,\\n data=self.data)\",\n \"def test_create_super_user(self):\\n user = get_user_model().objects.create_superuser(\\\"test@asd.com\\\", \\\"test123\\\")\\n\\n self.assertTrue(user.is_superuser)\\n self.assertTrue(user.is_staff)\",\n \"def test_creator_group_not_enabled(self):\\r\\n self.assertTrue(has_access(self.user, CourseCreatorRole()))\",\n \"def can_create(cls, user, **data):\\n raise Return(True)\",\n \"def test_create_new_superuser(self):\\n user = get_user_model().objects.create_superuser(\\n 'root@gmail.com',\\n 'test123'\\n )\\n\\n self.assertTrue(user.is_superuser)\\n self.assertTrue(user.is_staff)\",\n \"def test_project_create_cant_edit_users_existing_user(self):\\n user = fake_clients.FakeUser(name=\\\"test@example.com\\\")\\n\\n setup_identity_cache(users=[user])\\n\\n url = \\\"/v1/actions/CreateProjectAndUser\\\"\\n data = {\\\"project_name\\\": \\\"test_project\\\", \\\"email\\\": \\\"test@example.com\\\"}\\n response = self.client.post(url, data, format=\\\"json\\\")\\n self.assertEqual(response.status_code, status.HTTP_202_ACCEPTED)\\n self.assertEqual(response.json(), {\\\"notes\\\": [\\\"task created\\\"]})\\n task = Task.objects.all()[0]\\n action_models = task.actions\\n actions = [act.get_action() for act in action_models]\\n self.assertTrue(all([act.valid for act in actions]))\",\n \"def test_new_superuser(self):\\n user = get_user_model().objects.create_superuser(\\n 'support@google.com',\\n 'ezea'\\n ) \\n self.assertTrue(user.is_staff)\\n self.assertTrue(user.is_superuser)\",\n \"def testCreateIsDenied(self):\\n values = [(u'user', u'secret', u'User', u'user@example.com')]\\n error = self.assertRaises(PermissionDeniedError, self.users.create,\\n values)\\n self.assertEqual(self.user.username, error.username)\\n self.assertEqual([(u'user', Operation.CREATE_USER)],\\n error.pathsAndOperations)\",\n \"def testCreateIsDenied(self):\\n values = [(u'user', u'secret', u'User', u'user@example.com')]\\n error = self.assertRaises(PermissionDeniedError, self.users.create,\\n values)\\n self.assertEqual(self.user.username, error.username)\\n self.assertEqual([(u'user', Operation.CREATE_USER)],\\n error.pathsAndOperations)\",\n \"def test_create_new_superuser(self):\\n user = get_user_model().objects.create_superuser(\\n \\\"test@gmail.com\\\",\\n \\\"test123\\\"\\n )\\n\\n self.assertTrue(user.is_superuser)\\n self.assertTrue(user.is_staff)\",\n \"def test_create__forbidden(self):\\n testing_config.sign_in('one@example.com', 123567890)\\n\\n with test_app.test_request_context(self.request_path):\\n with self.assertRaises(werkzeug.exceptions.Forbidden):\\n self.handler.do_post(self.appuser_id)\\n\\n new_appuser = user_models.AppUser.query(\\n user_models.AppUser.email == 'new@example.com').get()\\n self.assertIsNone(new_appuser)\",\n \"def test_allowed_if_superuser(self):\\n\\n @task_or_superuser_only\\n def view(request):\\n return HttpResponse(\\\"Hello\\\")\\n\\n class User(object):\\n is_superuser = True\\n is_authenticated = True\\n\\n request = self.factory.get(\\\"/\\\")\\n request.user = None\\n response = view(request)\\n self.assertEqual(response.status_code, 403)\\n\\n request.user = User()\\n response = view(request)\\n self.assertEqual(response.status_code, 200)\",\n \"def test_create_new_superuser(self):\\n user = get_user_model().objects.create_superuser(\\n 'test@gmail.com',\\n 'test123'\\n )\\n\\n self.assertTrue(user.is_superuser)\\n self.assertTrue(user.is_staff)\",\n \"def test_create_new_superuser(self):\\n user = get_user_model().objects.create_superuser(\\n 'test@reciopcce.com',\\n 'fghdjdkricc'\\n )\\n self.assertTrue(user.is_superuser, True)\\n self.assertTrue(user.is_staff, True)\",\n \"def test_create_new_superuser(self):\\n user = get_user_model().objects.create_superuser(\\n 'admin@admin.com',\\n 'admin123456'\\n )\\n\\n self.assertTrue(user.is_superuser)\\n self.assertTrue(user.is_staff)\",\n \"def test_create_new_superuser(self):\\n user = get_user_model().objects.create_superuser(\\n 'test@gmail.com',\\n 'test123',\\n )\\n\\n self.assertTrue(user.is_superuser)\\n self.assertTrue(user.is_staff)\",\n \"def testGetIsAllowed(self):\\n UserAPI().create([(u'user', u'secret', u'User', u'user@example.com')])\\n result = self.users.get([u'user'])\\n self.assertIn(u'user', result)\",\n \"def testGetIsAllowed(self):\\n UserAPI().create([(u'user', u'secret', u'User', u'user@example.com')])\\n result = self.users.get([u'user'])\\n self.assertIn(u'user', result)\",\n \"def test_post_creation_unauthorized(self):\\n url = reverse('post-list')\\n user_url = reverse('user-detail', kwargs={'pk': self.superuser.id})\\n title = 'Test Title'\\n body = 'Test Body'\\n response = self.client.post(url, {'title': title, 'body': body, 'user': user_url}, format='json')\\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)\",\n \"def test_create_new_super_user(self):\\n user = get_user_model().objects.create_superuser(\\n 'test@test.con', 'test123'\\n )\\n self.assertTrue(user.is_superuser)\\n self.assertTrue(user.is_staff)\\n self.assertEqual(user.role, Role.ADMIN)\",\n \"def test_create_new_super_user(self):\\n user = get_user_model().objects.create_superuser(\\n email=\\\"test@hello.com\\\",\\n password=\\\"testblabla123\\\"\\n )\\n self.assertTrue(user.is_superuser)\\n self.assertTrue(user.is_staff)\",\n \"def test_create_new_superuser(self):\\n user = get_user_model().objects.create_superuser(\\n 'scottakirschner@gmail.com',\\n 'test123'\\n )\\n\\n self.assertTrue(user.is_superuser)\\n self.assertTrue(user.is_staff)\",\n \"def test_unauthorized_create_user(self):\\n res = self.submit()\\n\\n assert res.status_code == 401\",\n \"def test_add_user(self):\\n pass\",\n \"def test_project_create_cant_edit_users(self):\\n setup_identity_cache()\\n\\n url = \\\"/v1/actions/CreateProjectAndUser\\\"\\n data = {\\\"project_name\\\": \\\"test_project\\\", \\\"email\\\": \\\"test@example.com\\\"}\\n response = self.client.post(url, data, format=\\\"json\\\")\\n self.assertEqual(response.status_code, status.HTTP_202_ACCEPTED)\\n self.assertEqual(response.json(), {\\\"notes\\\": [\\\"task created\\\"]})\\n task = Task.objects.all()[0]\\n action_models = task.actions\\n actions = [act.get_action() for act in action_models]\\n self.assertFalse(all([act.valid for act in actions]))\",\n \"def test_create_new_superuser(self):\\n user = get_user_model().objects.create_superuser(\\n email='testuser@abc.com',\\n password='userpass123'\\n )\\n\\n self.assertTrue(user.is_superuser)\\n self.assertTrue(user.is_staff)\",\n \"def test_create_superuser(self):\\n user = User.objects.create_superuser(username=\\\"admin\\\", email=\\\"admin@admin.com\\\", password=\\\"password\\\")\\n self.assertTrue(user.is_staff)\\n self.assertTrue(user.is_superuser)\",\n \"def test_new_superuser(self):\\n\\n user = \\\\\\n get_user_model().objects.create_superuser('test@londonappdev.com'\\n , 'test123')\\n\\n self.assertTrue(user.is_superuser)\\n self.assertTrue(user.is_staff)\",\n \"def test_create_successful(self):\\n self.webkom.add_user(self.disallowed_user)\\n request = self.factory.post(\\\"/permissiontest/\\\", self.test_update_object)\\n force_authenticate(request, self.disallowed_user)\\n view = TestViewSet.as_view({\\\"post\\\": \\\"create\\\"})\\n\\n response = view(request)\\n created = response.data\\n\\n self.assertEqual(response.status_code, status.HTTP_201_CREATED)\\n self.assertEqual(created[\\\"name\\\"], self.test_update_object[\\\"name\\\"])\",\n \"def testGetIsAllowed(self):\\n UserAPI().create([(u'username', u'secret', u'Username',\\n u'user@example.com')])\\n result = self.users.get([u'username'])\\n self.assertIn(u'username', result)\",\n \"def test_new_user_not_my_project(self):\\n setup_identity_cache()\\n\\n url = \\\"/v1/actions/InviteUser\\\"\\n headers = {\\n \\\"project_name\\\": \\\"test_project\\\",\\n \\\"project_id\\\": \\\"test_project_id\\\",\\n \\\"roles\\\": \\\"member\\\",\\n \\\"username\\\": \\\"test@example.com\\\",\\n \\\"user_id\\\": \\\"test_user_id\\\",\\n \\\"authenticated\\\": True,\\n }\\n data = {\\n \\\"email\\\": \\\"test@example.com\\\",\\n \\\"roles\\\": [\\\"member\\\"],\\n \\\"project_id\\\": \\\"test_project_id\\\",\\n }\\n response = self.client.post(url, data, format=\\\"json\\\", headers=headers)\\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)\",\n \"def test_user_creation(self):\\n self.assertTrue(User.objects.exists())\",\n \"def test_new_superuser(self):\\n user = get_user_model().objects.create_superuser(\\n 'test@gmail.com',\\n 'test123'\\n )\\n\\n self.assertTrue(user.is_superuser)\\n self.assertTrue(user.is_staff)\",\n \"def test_not_creator_cannot_delete(self):\\n\\n logged_user = utils.create_user_and_authenticate(self)\\n self.group.users.add(logged_user)\\n expected_url = reverse('my_groups_view')\\n\\n utils.test_cannot_access(self, self.url, expected_url)\\n self.assertEqual(len(Group.objects.all()), 1)\",\n \"def test_create_new_superuser(self):\\n user = get_user_model().objects.create_superuser(\\n 'test@tslabs.com',\\n 'test123'\\n )\\n\\n self.assertTrue(user.is_superuser)\\n self.assertTrue(user.is_staff)\",\n \"def test_create_new_superuser(self):\\n\\n user = get_user_model().objects.create_superuser(\\n 'test@testemail.com',\\n 'password123'\\n )\\n\\n # is_superuser is part of PermissionsMixin\\n self.assertTrue(user.is_superuser) # checks if user is superuser\\n self.assertTrue(user.is_staff) # checks if user is staff\",\n \"def test_api_can_create_users(self):\\n res = self.client().post('/api/v1/user/', data = self.req)\\n self.assertEquals(res.status_code, 200)\\n self.assertIn('mary', str(res.data))\",\n \"def test_create_super_user(self):\\n user = get_user_model().objects.create_superuser(\\n email='admin@1234',\\n password='adminpassword'\\n )\\n\\n self.assertTrue(user.is_superuser)\\n self.assertTrue(user.is_staff)\",\n \"def test_status_code_for_privileged_user(self):\\n self.grant_permission()\\n self.client.login(username=\\\"john\\\", password=\\\"pass\\\")\\n response = self.client.get(self.get_url())\\n self.assertEqual(response.status_code, self.status_has_permission)\",\n \"def test_change_permission(self):\\r\\n self.assertTrue(self.creator_admin.has_change_permission(self.request))\\r\\n\\r\\n self.request.user = self.user\\r\\n self.assertFalse(self.creator_admin.has_change_permission(self.request))\",\n \"def test_if_not_created_unauthorized(self):\\r\\n payload = {\\r\\n \\\"email\\\": \\\"t@t.pl\\\",\\r\\n \\\"password\\\": \\\"password\\\",\\r\\n \\\"name\\\": \\\"asdasd\\\",\\r\\n \\\"is_superuser\\\": False,\\r\\n }\\r\\n\\r\\n res = self.client_not_authenticated.post(reverse(CREATE_USER_URL),data=payload)\\r\\n self.assertEqual(res.status_code, status.HTTP_401_UNAUTHORIZED)\",\n \"def test_add_user_not_authenticated(self):\\r\\n with mock.patch.dict(\\r\\n 'django.conf.settings.FEATURES',\\r\\n {'DISABLE_COURSE_CREATION': False, \\\"ENABLE_CREATOR_GROUP\\\": True}\\r\\n ):\\r\\n anonymous_user = AnonymousUser()\\r\\n role = CourseCreatorRole()\\r\\n add_users(self.admin, role, anonymous_user)\\r\\n self.assertFalse(has_access(anonymous_user, role))\",\n \"def test_new_superuser() -> None:\\r\\n user = get_user_model().objects.create_superuser(\\\"email@email.com\\\", \\\"test123\\\")\\r\\n\\r\\n assert user.is_superuser\\r\\n assert user.is_staff\",\n \"def test_create_delegate_unauthorized(self):\\n # Create new user and grant delegate role\\n new_user = self.make_user('new_user')\\n self.make_assignment(self.project, new_user, self.role_contributor)\\n new_user_token = self.get_token(new_user)\\n url = reverse(\\n 'projectroles:api_role_create',\\n kwargs={'project': self.project.sodar_uuid},\\n )\\n post_data = {\\n 'role': PROJECT_ROLE_DELEGATE,\\n 'user': str(self.assign_user.sodar_uuid),\\n }\\n response = self.request_knox(\\n url, method='POST', data=post_data, token=new_user_token\\n )\\n self.assertEqual(response.status_code, 403, msg=response.content)\",\n \"def test_create_course_no_course_creators_not_staff(self):\\r\\n with mock.patch.dict('django.conf.settings.FEATURES', {\\\"ENABLE_CREATOR_GROUP\\\": True}):\\r\\n self.user.is_staff = False\\r\\n self.user.save()\\r\\n self.assert_course_permission_denied()\",\n \"def test_user_without_share(self):\\n set_permission(Permission.EDIT, self.user1, self.collection)\\n\\n # Can not add permissions to users.\\n data = {\\\"users\\\": {self.user2.pk: \\\"view\\\"}}\\n resp = self._detail_permissions(self.collection.pk, data, self.user1)\\n self.assertEqual(resp.status_code, status.HTTP_403_FORBIDDEN)\\n\\n # Can not add permissions to groups.\\n data = {\\\"users\\\": {self.group.pk: \\\"view\\\"}}\\n resp = self._detail_permissions(self.collection.pk, data, self.user1)\\n self.assertEqual(resp.status_code, status.HTTP_403_FORBIDDEN)\",\n \"def test_get_permissions(self):\\n pass\",\n \"def test_creating_new_superuser(self):\\n user = get_user_model().objects.create_superuser(\\n email=\\\"staff@admin.com\\\",\\n password=\\\"Lorem12345\\\"\\n )\\n\\n self.assertTrue(user.is_staff)\\n self.assertTrue(user.is_superuser)\",\n \"def test_create(self):\\n pass\",\n \"def test_can_info_does_not_exist(self):\\n fake_user = User(username='Fake', password='')\\n self.assertFalse(send_rotate_to_can(fake_user, self.BIN_NUM))\",\n \"def test_registered_user_can_create_project(self):\\n user = self._create_user({\\\"username\\\":\\\"user2\\\",\\\"email\\\":\\\"ab@cd.com\\\"})\\n testproject = self._create_comicsite_in_admin(user,\\\"user1project\\\") \\n testpage1 = create_page_in_admin(testproject,\\\"testpage1\\\")\\n testpage2 = create_page_in_admin(testproject,\\\"testpage2\\\")\\n \\n self._test_page_can_be_viewed(user,testpage1)\\n self._test_page_can_be_viewed(self.root,testpage1)\",\n \"def test_create_superuser(self):\\n user = get_user_model().objects.create_superuser(\\n 'mail@domain.com',\\n 'password@123'\\n )\\n\\n self.assertEqual(user.is_superuser, True)\\n self.assertEqual(user.is_staff, True)\",\n \"def test_only_admin_can_create_product(self):\\n resp = self.admin_create_user()\\n reply = self.attendant_login()\\n token = reply['token']\\n product = dict(\\n prod_name='NY_denims',\\n category='denims',\\n stock=20,\\n price=150\\n )\\n resp = self.client.post(\\n '/api/v1/products',\\n content_type='application/json',\\n data=json.dumps(product),\\n headers={'Authorization': 'Bearer {}'.format(token)}\\n )\\n reply = json.loads(resp.data.decode())\\n\\n self.assertEqual(reply['message'], 'Unauthorized Access!')\\n self.assertEqual(resp.status_code, 401)\",\n \"def test_project_administrator(project):\\n if is_server_administrator():\\n return True\\n if is_project_administrator(project):\\n return True\\n return False\",\n \"def test_first_user_is_admin(self):\\n user = User.objects.create(username='username', email='foo@bar.com')\\n self.assertTrue(user.is_staff)\\n self.assertTrue(user.is_superuser)\\n user = User.objects.create(username='username2', email='foo@bar.com')\\n self.assertFalse(user.is_staff)\\n self.assertFalse(user.is_superuser)\",\n \"def test_add_user_to_course_group_permission_denied(self):\\r\\n add_users(self.global_admin, CourseInstructorRole(self.course_key), self.creator)\\r\\n add_users(self.global_admin, CourseStaffRole(self.course_key), self.creator)\\r\\n with self.assertRaises(PermissionDenied):\\r\\n add_users(self.staff, CourseStaffRole(self.course_key), self.staff)\",\n \"def test_creating_a_new_super_user(self):\\n\\n user = get_user_model().objects.create_superuser(\\n email=\\\"test@gmail.com\\\", password=\\\"Test12345\\\"\\n )\\n\\n self.assertTrue(user.is_superuser)\\n self.assertTrue(user.is_staff)\",\n \"def test_add_facility_pt1(self):\\n self.assertFalse(self.admin.has_perm('auth.add_facility'))\",\n \"def test_create__normal_valid(self):\\n testing_config.sign_in('admin@example.com', 123567890)\\n\\n json_data = {\\n 'email': 'new_user@example.com',\\n 'isAdmin': False, 'isSiteEditor': False}\\n with test_app.test_request_context(self.request_path, json=json_data):\\n actual_json = self.handler.do_post()\\n self.assertEqual('new_user@example.com', actual_json['email'])\\n self.assertFalse(actual_json['is_site_editor'])\\n self.assertFalse(actual_json['is_admin'])\\n\\n new_appuser = (user_models.AppUser.query(\\n user_models.AppUser.email == 'new_user@example.com').get())\\n result_email = new_appuser.email\\n result_is_admin = new_appuser.is_admin\\n new_appuser.key.delete()\\n self.assertEqual('new_user@example.com', result_email)\\n self.assertFalse(result_is_admin)\",\n \"def test_create_owner(self):\\n url = reverse(\\n 'projectroles:api_role_create',\\n kwargs={'project': self.project.sodar_uuid},\\n )\\n post_data = {\\n 'role': PROJECT_ROLE_OWNER,\\n 'user': str(self.assign_user.sodar_uuid),\\n }\\n response = self.request_knox(url, method='POST', data=post_data)\\n self.assertEqual(response.status_code, 400, msg=response.content)\",\n \"def test_serve_user(self):\\n pass\",\n \"def test_user_can_create_a_project(self):\\n self.assertEqual(project_model.Project.objects.get(user=self.test_user).pk, self.test_project.pk)\",\n \"def test_08_create_user_not_exists(self):\\n\\n _, user = self.get_random_item(models.User)\\n utils.create_user(user, session=self.session)\\n success, error = utils.create_user(user, session=self.session)\\n self.assertFalse(success)\\n self.assertTrue(error)\",\n \"def test_check_user(self):\\n self.new_user.save_user()\\n test_user = User(\\\"Test\\\", \\\"user\\\", \\\"test\\\", \\\"walIas15\\\")\\n test_user.save_user()\\n test_user.check_user(\\\"test\\\", \\\"walIas15\\\")\",\n \"def test_user_is_really_create():\\n response = api_helper.get_user(user_name=pytest.test_user.name)\\n assert response.status_code == 200\\n response_json_data = response.json()[\\\"data\\\"]\\n assert len(response_json_data) == 1\\n check_user_data_in_response(response_json_data[0])\\n pytest.test_user.id = response_json_data[0]['id']\",\n \"def test_api_video_create_staff_or_user(self):\\n for user in [factories.UserFactory(), factories.UserFactory(is_staff=True)]:\\n self.client.login(username=user.username, password=\\\"test\\\")\\n response = self.client.post(\\\"/api/videos/\\\")\\n self.assertEqual(response.status_code, 401)\\n self.assertFalse(models.Video.objects.exists())\",\n \"def test_username_is_writable_for_user_creation(self):\\n request = Mock()\\n assert 'username' not in self.admin.get_readonly_fields(request)\",\n \"def test_resource_user_resource_add_user_post(self):\\n pass\",\n \"def test_able_to_create_a_user():\\n response = api_helper.create_user(pytest.test_user)\\n assert response.status_code == 201\\n check_user_data_in_response(response.json()[\\\"data\\\"])\",\n \"def not_test_without_user(self):\\n # TODO\",\n \"def test_user_creation(self):\\r\\n \\r\\n self.assertIsInstance(self.user, User)\",\n \"def setUp(self):\\n a, b, c = (\\n User.objects.create_user(guy, email=\\\"%s@example.org\\\" % guy, password=guy)\\n for guy in \\\"abc\\\"\\n )\\n a.is_superuser = True\\n a.save()\",\n \"def test_authenticated_user_create(self):\\r\\n with self.flask_app.test_request_context('/'):\\r\\n for token in self.auth_providers:\\r\\n assert_raises(Forbidden,\\r\\n getattr(require, 'token').create,\\r\\n token)\",\n \"def test_delete_permission(self):\\r\\n self.assertFalse(self.creator_admin.has_delete_permission(self.request))\",\n \"def test_create(km_user_factory):\\n models.Profile.objects.create(\\n is_private=True, km_user=km_user_factory(), name=\\\"My Profile\\\"\\n )\",\n \"def test_not_creator_cannot_update_tab(self):\\n\\n logged_user = utils.create_user_and_authenticate(self)\\n self.group.users.add(logged_user)\\n expected_url = reverse('group_view', args=(self.group.pk,))\\n\\n utils.test_cannot_access(self, self.url, expected_url, self.data)\",\n \"def test_superuser():\\n assert os.geteuid() == 0, \\\"Need ROOT access in order to run tests.\\\"\",\n \"def test_superuser_create(self):\\n user_count = User.objects.count()\\n super_user = User.objects.create_superuser(email='test@test.com', password='test')\\n self.assertTrue(User.objects.count() == user_count + 1)\\n self.assertTrue(super_user.is_staff)\\n self.assertTrue(super_user.is_superuser)\\n with self.assertRaises(ValueError, msg='Superuser must have is_staff=True'):\\n User.objects.create_superuser(email='test@test.com', password='test', is_staff=False)\\n with self.assertRaises(ValueError, msg='Superuser must have is_superuser=True'):\\n User.objects.create_superuser(\\n email='test@test.com',\\n password='test',\\n is_superuser=False)\",\n \"def test_add_facility_pt3(self):\\n self.assertFalse(self.learner1.has_perm('auth.add_facility'))\",\n \"def test_normal_user(self):\\n user = User.objects.create_user('testuser', 'email@example.com',\\n 'testpass')\\n user.save()\\n\\n # Login\\n response = self.client.post(login_url, {\\n 'username': 'testuser',\\n 'password': 'testpass'\\n })\\n self.assertEqual(200, response.status_code)\\n\\n response = self.client.get(telemetry_url)\\n self.assertEqual(403, response.status_code)\",\n \"def test_admin_cannot_create_user_with_different_roles(self):\\n resp = self.admin_register()\\n reply = self.admin_login()\\n token = reply['token']\\n user = dict(\\n name='Summer Love',\\n username='love',\\n password='Andela8',\\n role='supervisor'\\n )\\n\\n resp = self.client.post(\\n '/api/v1/users',\\n content_type='application/json',\\n data=json.dumps(user),\\n headers={'Authorization': 'Bearer {}'.format(token)}\\n )\\n\\n reply = json.loads(resp.data.decode())\\n\\n self.assertEqual(reply['message'], 'role should either be admin or attendant')\\n self.assertEqual(resp.status_code, 400)\",\n \"def test_create_new_superuser(self):\\n user = get_user_model().objects.create_superuser(\\n email=self.test_user_email,\\n password=self.test_user_pass,\\n name=self.test_user_name\\n )\\n\\n self.assertTrue(user.is_superuser)\",\n \"def test_server_administrator():\\n if is_server_administrator():\\n return True\\n raise False\"\n]","isConversational":false},"negative_scores":{"kind":"list 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\"0.7918982\",\n \"0.7771127\",\n \"0.7771127\",\n \"0.7771127\",\n \"0.77341586\",\n \"0.74601835\",\n \"0.742769\",\n \"0.7394454\",\n \"0.7384439\",\n \"0.7380802\",\n \"0.73551154\",\n \"0.73485357\",\n \"0.72738314\",\n \"0.7262976\",\n \"0.7240507\",\n \"0.72152865\",\n \"0.7182163\",\n \"0.71769214\",\n \"0.7160252\",\n \"0.71446407\",\n \"0.7106912\",\n \"0.7081201\",\n \"0.7075579\",\n \"0.70427346\",\n \"0.7034017\",\n \"0.7031825\",\n \"0.7031825\",\n \"0.701754\",\n \"0.7014287\",\n \"0.70114833\",\n \"0.7010769\",\n \"0.7001688\",\n \"0.70003307\",\n \"0.69898534\",\n \"0.69853616\",\n \"0.69853616\",\n \"0.69831973\",\n \"0.6975669\",\n \"0.6968936\",\n \"0.69666374\",\n \"0.69601315\",\n \"0.69535065\",\n \"0.6950699\",\n \"0.69450444\",\n \"0.6934005\",\n \"0.69136447\",\n \"0.6912573\",\n \"0.68995476\",\n \"0.68955886\",\n \"0.68934536\",\n \"0.68772864\",\n \"0.6874689\",\n \"0.6874529\",\n \"0.68730307\",\n \"0.6872733\",\n \"0.687057\",\n \"0.68395615\",\n \"0.6828193\",\n \"0.68268126\",\n \"0.68260694\",\n \"0.68233395\",\n \"0.6818508\",\n \"0.68001354\",\n \"0.67987335\",\n \"0.6796049\",\n \"0.6792179\",\n \"0.67869776\",\n \"0.6783396\",\n \"0.6781419\",\n \"0.6779595\",\n \"0.67771804\",\n \"0.6772071\",\n \"0.67707646\",\n \"0.67672324\",\n \"0.67613125\",\n \"0.67448753\",\n \"0.6743474\",\n \"0.67290074\",\n \"0.6717152\",\n \"0.671444\",\n \"0.6711779\",\n \"0.6710341\",\n \"0.67097414\",\n \"0.6700312\",\n \"0.6700095\",\n \"0.66998273\",\n \"0.66950727\",\n \"0.6694388\",\n \"0.668657\",\n \"0.6685589\",\n \"0.6684117\",\n \"0.6678695\",\n \"0.6674988\",\n \"0.667382\",\n \"0.66700333\",\n \"0.6667472\",\n \"0.6666944\",\n \"0.66630507\",\n \"0.66599953\",\n \"0.6656429\",\n \"0.6655692\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":86769,"cells":{"query":{"kind":"string","value":"Test that the add button appears"},"document":{"kind":"string","value":"def test_add_button_appears(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertContains(response, self.url)"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def test_add_button(self):\n btn = utils.add_button()\n self.assertIsInstance(btn, Button)","def test_create_custom_button(self):\n pass","def test_update_custom_button(self):\n pass","def test_add_form(self):\n\n with self.client:\n result = self.client.get('/users/new')\n self.assertEqual(result.status_code, 200)\n self.assertIn(b'<h1 class=\"display-5 mt-4\">Create a user</h1>', result.data)","def test_delete_custom_button(self):\n pass","def test_get_custom_button(self):\n pass","def add_unit(self):\n self.q(css=self._bounded_selector(self.ADD_BUTTON_SELECTOR)).click()","def click_add_new_record_button(self):\n self.click_element(self.add_new_record_button_locator, True)","def test_add_success(self):\n self.open_url('/group/add')\n name = \"GroupsTest.test_add_success\"\n el = self.wd.find_element(By.ID, \"name\")\n el.send_keys(name)\n self.submit_form(\"group_form\")\n self.assertEquals('Group List', self.wd.title)\n self.assert_in_list_table(name)","def test_add_one_more_test(self):\n self.assertTrue(True)","def test_gameAddText(self):\n # this is tested graphically, it is UI\n pass","def test_exist_add_to_basket_btn(browser):\n\n browser.get(link)\n time.sleep(3)\n assert is_element_exist_by_class_name(browser, \"btn-add-to-basket\"), \"Element doesn't exist\"","def test_can_not_add_more(self):\n set_up_one_user(self, 1, 0)\n login = self.client.login(username='test', password='2HJ1vRV0Z&3iD')\n response = self.client.get(reverse('index'))\n self.assertEqual(response.status_code, 200)\n self.assertContains(response, '<button id=\"modalButton\" type=\"button\" class=\"btn btn-info\" data-toggle=\"modal\" data-target=\"#myModal\" disabled=\"True\">Add new notification</button>')","def handleActionAdd(self):\n self.fDialog.show()","def test_user_add_button_redirects_to_register_page(self):\n self.browser.get(self.warno_url)\n self.browser.find_element_by_link_text('Users').click()\n self.browser.find_element_by_id('new-user-redirect-button').click()\n contents = self.browser.find_element_by_class_name('sub-title')\n self.assertTrue('Register' in contents.text, \"Redirected page's subtitle did not contain 'Register'\")","def validate_html_for_add_buttons(self, html, can_add=True):\r\n # Verify that there are no add buttons for public blocks\r\n add_button_html = '<div class=\"add-xblock-component new-component-item adding\"></div>'\r\n if can_add:\r\n self.assertIn(add_button_html, html)\r\n else:\r\n self.assertNotIn(add_button_html, html)","def test_add_list(buttons):\n app = App()\n app[0, 0] = buttons[0]\n app[0, 0] += buttons[1]","def click_bulk_add_button(self):\n self.click_element(self.bulk_add_button_locator, True)","def test_empty_ui(self):","def has_add_response_button(self):\r\n return self._is_element_visible(\".add-response-btn\")","def test_append_no_init(buttons):\n app = App()\n with pytest.raises(KeyError):\n app[0, 0] += buttons[0]","def test_show_add_tag(self):\r\n\r\n with app.test_client() as client:\r\n resp = client.get(\"/tags/new\") \r\n html = resp.get_data(as_text=True) \r\n\r\n self.assertEqual(resp.status_code, 200)\r\n self.assertIn(\"Create Tag\", html)","def click_add():\n # TODO: 1. In frontend_script.py, create function \"create_window()\" that takes a Toplevel() as a parameter.\n # TODO: 2. In this file, implement the code below\n # new_window = Toplevel(root)\n # frontend_script.create_window(new_window)","def test_add(self):\n self.client.login(username='admin', password='admin')\n response = self.client.post('/add/', {'url': 'http://example.com'}, follow=True)\n self.assertShortURLCreated(response)","def click_add_computer(self):\n element = self.driver.find_element_by_id(locators.add_button)\n element.click()","def test_edit_button_appears(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertContains(response, self.url)","def test_add_resource(self):\n self.login_editor() \n\n # invalid submission with missing required fields\n form_data = minimal_form_data()\n response = self.client.post('/resource/new', form_data )\n \n self.assertContains(response,'Por favor verifique os campos obrigatórios')\n self.assertContains(response,'Você precisa inserir pelo menos um descritor de assunto')\n self.assertContains(response,'Você precisa selecionar pelo menos uma área temática')\n\n # complete form_data with required fields and re-submit form\n form_data = complete_form_data()\n\n # test valid submission\n # after submit a valid content the view will redirect to /resources and list the objects\n # follow=True will allow check if the new data is on the list\n response = self.client.post('/resource/new', form_data, follow=True)\n\n self.assertRedirects(response, '/resources')\n self.assertContains(response, \"Recurso de teste\")\n\n # check if is set cooperative center code of user (editor = BR1.1)\n self.assertEquals(Resource.objects.all()[0].cooperative_center_code, \"BR1.1\")","def test_register_page(self):\n with app.test_client() as client:\n response = client.get('/register')\n html = response.get_data(as_text=True)\n self.assertIn('<button type=\"submit\">Register</button>', html)","def test_add_empty(self):\n self.open_url('/group/add')\n el = self.wd.find_element(By.ID, \"name\")\n el.send_keys(\"\")\n self.submit_form(\"group_form\")\n # Since we're using HTML5 'required' we'll just assert that form did not submit.\n self.assertEquals('Add Group', self.wd.title)","def okay_button1(self, i):\n if i.text() == \"OK\":\n print(\"Entry added\")","def test_add_yet_one_more_test(self):\n self.assertTrue(True)","def test_record_add():\n\n display = Display()\n display.add('first')\n display.add('second')\n\n assert len(display.display_output) == 2","def _test_display_up_button(self):\n return (self.product_displays.top_index > 0)","def add_button(self):\n if len(self.datamodels) == 0:#In this case the button is deleted completely as there is no reference to it\n self.addDataDisplays = QtGui.QPushButton(self) #Draw (+) button to add data displays\n self.addDataDisplays.setText(\"+\")\n self.addDataDisplays.clicked.connect(self.add_data_display)\n self.verticalLayout.removeWidget(self.addDataDisplays)\n self.verticalLayout.addWidget(self.addDataDisplays)","def test_display_form(self):\n response = self.client.get(reverse('tracking:internal-register'))\n self.assertEqual(response.status_code, HTTPStatus.OK)\n self.assertContains(\n response,\n '<h1>Registro de Entrada Comunidad Anáhuac</h1>',\n html=True\n )","def on_the_groups_page_click_add(driver):\n assert wait_on_element(driver, 10, xpaths.groups.title)\n assert wait_on_element(driver, 10, xpaths.button.add, 'clickable')\n driver.find_element_by_xpath(xpaths.button.add).click()","def test_no_add_button_appears(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertNotContains(response, self.url)","def test_delete_button_appears_edit(self):\n response = self.client.get(reverse('wagtailnews:edit', kwargs={\n 'pk': self.index.pk, 'newsitem_pk': self.newsitem.pk}))\n self.assertContains(response, self.url)","def ready(self):\n self.btnAdd.setEnabled(True)","def test_has_tagging_button(self):\n response = self.client.get(self.get_url(self.trait.pk))\n context = response.context\n self.assertTrue(context['show_tag_button'])\n self.assertContains(response, reverse('trait_browser:source:traits:tagging', kwargs={'pk': self.trait.pk}))","def test_has_tagging_button(self):\n response = self.client.get(self.get_url(self.trait.pk))\n context = response.context\n self.assertTrue(context['show_tag_button'])\n self.assertContains(response, reverse('trait_browser:source:traits:tagging', kwargs={'pk': self.trait.pk}))","def test_add_article_via_details(self):\n log.debug( 'starting test_add_article_via_details()' )\n driver = self.driver\n\n # confirm the 'details search' view is not shown\n details_element = driver.find_element_by_css_selector( 'div#articleDetails' )\n self.assertEqual(\n False,\n details_element.is_displayed() )\n\n # click option 3: 'Enter article details'\n driver.find_element_by_id(\"ui-accordion-artcit-header-2\").click()\n\n # confirm the 'details search' view is shown\n time.sleep( 1 )\n details_element = driver.find_element_by_css_selector( 'div#articleDetails' )\n self.assertEqual(\n True,\n details_element.is_displayed() )\n\n # confirm the button is clickable\n button_element = driver.find_element_by_id(\"details_submit_button\")\n self.assertEqual(\n '',\n button_element.get_attribute( 'class' ) )\n\n # confirm no button-triggered tooltips\n button_element = driver.find_element_by_id(\"details_submit_button\")\n self.assertEqual(\n None,\n button_element.get_attribute('aria-describedby') )\n # print( 'aria-describedby before, %s' % button_element.get_attribute('aria-describedby') )\n\n # hover over the submit button\n button_element = driver.find_element_by_id(\"details_submit_button\")\n hover = ActionChains(driver).move_to_element(button_element)\n hover.perform()\n\n # confirm the button-triggered tooltips\n # button_element = driver.find_element_by_id(\"details_submit_button\")\n self.assertEqual(\n 'ui-tooltip-0',\n button_element.get_attribute('aria-describedby') )\n # print( 'aria-describedby after hover, %s' % button_element.get_attribute('aria-describedby') )\n\n # confirm the button is disabled\n self.assertEqual(\n 'disabled',\n button_element.get_attribute( 'class' ) )\n\n # try to click submit anyway, without filling in required fields\n driver.find_element_by_id( 'details_submit_button' ).click()\n\n # confirm we're still on the same page\n self.assertTrue( 'reserves/cr/requestarticle.php' in self.driver.current_url )\n\n # confirm the 'details search' view is still shown\n details_element = driver.find_element_by_css_selector( 'div#articleDetails' )\n self.assertEqual(\n True,\n details_element.is_displayed() )\n\n # enter title\n driver.find_element_by_name(\"atitle\").clear()\n driver.find_element_by_name(\"atitle\").send_keys( self.test_article_name )\n\n # enter journal title\n driver.find_element_by_name(\"title\").clear()\n driver.find_element_by_name(\"title\").send_keys( self.journal_title )\n\n # enter date\n driver.find_element_by_css_selector( 'input[class=\"req datep inp_date hasDatepicker\"]' ).clear() # can't use `id` because it's dynamic\n driver.find_element_by_css_selector( 'input[class=\"req datep inp_date hasDatepicker\"]' ).send_keys( self.article_date )\n driver.find_element_by_css_selector( 'input[class=\"req datep inp_date hasDatepicker\"]' ).send_keys( Keys.TAB ) # submit button not active until leaving required date field.\n\n # confirm the button is enabled\n time.sleep( 2 )\n self.assertEqual(\n '',\n button_element.get_attribute( 'class' ) )\n\n # click submit\n driver.find_element_by_id( 'details_submit_button' ).click()\n\n # confirm user sees the Copyright info\n self.assertEqual(\n True,\n 'Copyright' in self.driver.find_element_by_css_selector( 'div#maincontent > h3' ).text\n )\n\n # confirm entered title is shown on copyright page\n self.assertEqual(\n True,\n self.test_article_name in self.driver.find_element_by_css_selector( 'div#maincontent > blockquote' ).text\n )\n\n # click the 'The work is a <b>U.S. Government document</b> not protected by copyright' link\n driver.find_element_by_css_selector( 'button[value=\"gov doc\"]' ).click()\n\n # confirm we've gotten to the 'Place PDFs on E-Reserves' screen\n self.assertEqual(\n True,\n 'Place PDFs on E-Reserves' in self.driver.find_element_by_css_selector( 'div#maincontent > h3' ).text\n )\n\n # confirm the 'pdf upload' section is visible\n pdf_upload_element = driver.find_element_by_css_selector( 'div#pdfupload' )\n self.assertEqual(\n True,\n pdf_upload_element.is_displayed() )\n\n # click the 'I will email or upload a PDF at a later time' option\n driver.find_element_by_name(\"ereserve\").click()\n\n # assert we're back to the course page via url\n self.assertTrue( 'reserves/cr/class/?classid=5734' in self.driver.current_url )\n\n # confirm the confirmation block exists\n self.assertEqual(\n True,\n 'New article' in self.driver.find_element_by_css_selector( 'p[class=\"notice success\"]' ).text\n )\n\n # click the 'View' link for 'Online Readings'\n driver.find_element_by_xpath(\"(//a[contains(text(),'View')])[2]\").click()\n\n # get the article html\n article_html = driver.find_element_by_css_selector( 'table[data-restype=\"article\"]' ).text\n\n # test that the added article is listed\n self.assertEqual(\n True,\n self.test_article_name in article_html\n )\n\n # determine delete link\n article_table_element = driver.find_element_by_css_selector( 'div#articles > table > tbody' )\n table_rows = article_table_element.find_elements_by_tag_name( 'tr' )\n target_row_counter = 1 # because xpath call is 1-indexed, not zero-indexed\n for row in table_rows:\n if self.test_article_name in row.text:\n break\n else:\n target_row_counter += 1\n # print( '- TARGET ROW COUNTER, %s' % target_row_counter )\n\n # click the delete link\n driver.find_element_by_xpath( \"(//a[contains(text(),'Delete')])[%s]\" % target_row_counter ).click()\n\n # test that the added article is no longer listed\n time.sleep( 2 ) # needed; an immediate check will still show the text of the deleted citation\n article_html = driver.find_element_by_css_selector( 'table[data-restype=\"article\"]' ).text\n self.assertTrue( self.test_article_name not in article_html )","def test_add_control(perfectModelEnsemble_initialized_control):\n assert perfectModelEnsemble_initialized_control.get_control()","def buttonAdd_Clicked( self, event ):\n\t\tid = DM.FixedIndex(self._combos[self._treasureIndex].GetSelection())\n\t\tif id is not None and id >= DM.FixedIndex(0):\n\t\t\tqty = self.spinCtrlQuantity.GetValue()\n\t\t\tprob = self.spinCtrlProbability.GetValue()\n\t\t\ttreasure = (id, prob, qty)\n\t\t\tself.Treasure[self._treasureIndex].append(treasure)\n\t\t\tself.refreshTreasureList()","def newInsertionNeedleSet(self):\n #productive #onButton\n profbox()\n widget = slicer.modules.NeedleFinderWidget\n if widget.newInsertionButton:\n dialog = qt.QDialog()\n messageBox = qt.QMessageBox.information( dialog, 'Information','You are creating a new set of needles')\n self.round +=1\n widget.newInsertionButton.setText('Start a new set of needles - Round ' + str(self.round+1)+'?')\n widget.deleteNeedleButton.setText('Delete Needles from round ' + str(self.round))","def test_ui_menu(test):\n assert hl.test_help_ui_menu(test) == test","def test_add(self):\n print('test_add')\n \n self.assertEqual(120, add(100, 20))\n self.assertNotEqual(3, add(10, 10))","def test_new_trait_button_with_new_variables(self):\n new_study_version = factories.SourceStudyVersionFactory.create(\n study=self.study,\n i_version=self.study_version.i_version + 1,\n i_date_added=timezone.now())\n # Create a new trait in this version\n new_traits = factories.SourceTraitFactory.create_batch(\n 2, source_dataset__source_study_version=new_study_version)\n response = self.client.get(self.get_url(self.study.pk))\n context = response.context\n self.assertIn('show_new_trait_button', context)\n self.assertTrue(context['show_new_trait_button'])\n self.assertContains(response, reverse('trait_browser:source:studies:pk:traits:new', args=[self.study.pk]))","def add_button(self, title, callback, display_opt=None):\n button = wx.Button(self.button_panel, -1, title)\n button.Bind(wx.EVT_BUTTON, callback)\n button.display_opt = display_opt\n self.buttons.append(button)\n self.button_sizer.Add(button, 0)","def test_add_item_adds_single_entry():\n sc.menu = sc.default_menu\n sc.current.add_item('Coffee', 1)\n assert sc.current.receipt == {'subtotal': 1.59, 'Coffee': 1}","def click_add_resolution_button(self):\n self.click_element(self.add_resolution_button_locator)","def click_button(self):\n self.q(css='div#fixture input').first.click()","def click_button(self):\n self.q(css='div#fixture button').first.click()","def test_add_feature_view(self):\n print 'Running %s ...' % getName()\n \n seq = self.sequenceListingFixture.create_sequence_instance(self.sequenceListing)\n# test that URL resolves to correct views function\n found = resolve('/sequencelistings/sl%d/seq%d/add_feature/' % (self.sequenceListing.id, seq.id))\n self.assertEqual(found.func, views.add_feature)\n \n response = self.client.get(reverse('sequencelistings:add_feature', \n args=[self.sequenceListing.id, seq.id]))\n self.assertEqual(response.status_code, 200)\n# test that the page returns expected html contents\n self.assertContains(response, \"Feature key\")\n self.assertContains(response, \"Submit\")","def test_add_remove_from_wishlist(self):\n url = reverse('add-to-wishlist')\n data = {\n 'igdb': self.game.igdb,\n 'name': self.game.name,\n 'slug': self.game.slug,\n 'cover_id': self.game.cover_id,\n 'backdrop_id': self.game.backdrop_id\n }\n\n add = self.client.post(url, data, format='json')\n self.assertEqual(True, add.data['value'])\n\n remove = self.client.post(url, data, format='json')\n self.assertEqual(False, remove.data['value'])","def test_add(self):\n # add a todo\n self.add(title=\"Sample task todo\", description=\"for sample\", state=\"todo\")\n task = Task.query.filter_by(title='Sample task todo').first()\n self.assertEqual(task.description, 'for sample')\n self.assertEqual(task.state, 'todo')\n\n # add a doing\n self.add(title=\"Sample task doing\", description=\"for sample\", state=\"doing\")\n task = Task.query.filter_by(title=\"Sample task doing\").first()\n self.assertEqual(task.description, 'for sample')\n self.assertEqual(task.state, 'doing')\n\n # add a done\n self.add(title=\"Sample task done\", description=\"for sample\", state=\"done\")\n task = Task.query.filter_by(title='Sample task done').first()\n self.assertEqual(task.description, 'for sample')\n self.assertEqual(task.state, 'done')","def test_constructor_visible_widgets(plugin_dialog_constructor):\n assert not plugin_dialog_constructor.direct_entry_edit.isVisible()\n assert not plugin_dialog_constructor.direct_entry_btn.isVisible()","def test_add(self):\n # Everything added will be deleted later in test_delete.\n first_name = 'Trevor'\n last_name = 'Harvey'\n entry_date = '04/19/2012'\n title = 'Test'\n minutes = 34\n notes = 'testing entries. and regex (555) 555-3425'\n self.data.add(first_name, last_name, entry_date, title, minutes, notes)\n # second test add\n first_name = 'Nik'\n last_name = 'Silver'\n entry_date = '01/14/1827'\n title = 'random@mail.com'\n minutes = 34\n notes = 'This is an email test.'\n\n self.data.add(first_name, last_name, entry_date, title, minutes, notes)","def test_add(self):\n self.assertEqual(3, add(1, 2))\n self.assertNotEqual(3, add(2, 2))","def test_add_duplicate(self):\n self.open_url('/group/add')\n el = self.wd.find_element(By.ID, \"name\")\n el.send_keys(\"First Group\")\n self.submit_form(\"group_form\")\n self.assert_form_error(\"Group \\\"First Group\\\" already exists.\")","def addbutton_click(self):\n pais = self.ui.qlinepais.text()\n nome = self.ui.qlinenome.text()\n presidente = self.ui.qlinepres.text()\n email_contato = self.ui.qlineemail.text()\n endereco = self.ui.qlineend.text()\n if pais and nome and presidente:\n kwargs = {'pais': \"'\" + pais + \"'\",\n 'nome': \"'\" + nome + \"'\",\n 'presidente': \"'\" + presidente + \"'\"}\n if email_contato:\n kwargs['email_contato'] = \"'\" + email_contato + \"'\"\n if endereco:\n kwargs['endereco'] = \"'\" + endereco + \"'\"\n if(insert('comite', kwargs)):\n self.parent().hide()\n self.parent().parent().setWindowTitle(self.parent().parent().title)\n else:\n showdialog ('Erro', \"Erro na inserção, verifique se o comite já não está cadastrado\");\n \n else:\n showdialog('Erro', 'Os campos país, nome e presidente são obrigatórios')","def test_add(self):\n self.assertEqual(3, foo.add(1, 2))\n self.assertNotEqual(3, foo.add(2, 2))","def _addClickedSlot(self):\r\n\r\n index = self._model.add()\r\n self.propertiesTableView.selectionModel().setCurrentIndex(index, QtGui.QItemSelectionModel.ClearAndSelect)\r\n self.addButton.setEnabled(False) # We have to wait until editing is finished to avoid an invalid model\r\n self._editClickedSlot()","def test_add_permission(self):\r\n self.assertFalse(self.creator_admin.has_add_permission(self.request))","def newInsertionNeedleSet(self):\r\n # productive #onButton\r\n profbox()\r\n widget = slicer.modules.NeedleFinderWidget\r\n if widget.newInsertionButton:\r\n dialog = qt.QDialog()\r\n messageBox = qt.QMessageBox.information(dialog, 'Information', 'You are creating a new set of needles')\r\n self.round += 1\r\n widget.newInsertionButton.setText('Start a new set of needles - Round ' + str(self.round + 1) + '?')\r\n widget.deleteNeedleButton.setText('Delete Needles from round ' + str(self.round))","def test_add_to_cart_item(self, app, pm):\n logging.basicConfig(filename='/home/osboxes/pytest_mobile/logs/test.log', level=logging.DEBUG, filemode=\"w\")\n app.browser.tap_button(pm.start_page.get_skip_button())\n app.browser.tap_button(pm.main_page.get_cart_button())\n result = app.browser.get_text(pm.my_cart_page.get_cart_empty_cart())\n assert result == \"Your Cart is Empty\"\n app.browser.tap_button(pm.menu_items.get_back_button())","def click_add_financial_charges_button(self):\n self.number_of_financial_charges_before_create = self.get_number_of_financial_charges_in_the_grid()\n self.click_element(self.add_financial_charges_button_locator, hover=True)","def test_admin_sms_template_view_add(self):\n response = self.client.get('/admin/sms_module/smstemplate/add/')\n self.failUnlessEqual(response.status_code, 200)","def test_button(self):\n callback = CallbackCounter()\n display = get_display(0)\n button = FakeButton()\n display.register_onpress(button, callback)\n assert callback == 0\n display.read()\n assert callback == 0\n button.value = True\n display.read()\n assert callback == 1\n for i in range(200):\n display.read()\n assert callback == 1","def test_get(self):\n response = self.client.get(\"/\")\n\n # print(response.content)\n\n self.assertEqual(response.status_code, HTTPStatus.OK)\n self.assertContains(response, '<button type=\"submit\" class=\"btn btn-light w-50\">Send</button>', html=True)","def can_add_to_toolbar ( self, action ):\r\n return True","def _uiClickAddResponse(self) -> None:\n\n response, okClicked = AddResponseDialog.getResponse(self.widget)\n if okClicked:\n self.model.add_response(response)","def test_get_custom_buttons_list(self):\n pass","def add_button_clicked(self, obj):\n note = Note()\n if self.notetype :\n note.set_type(self.notetype)\n try:\n from .. import EditNote\n EditNote(self.dbstate, self.uistate, self.track, \n note, self.add_callback,\n self.callertitle, extratype = [self.notetype])\n except WindowActiveError:\n pass","def test_public_unit_page_html(self):\r\n html = self.get_page_html(self.vertical)\r\n self.validate_html_for_add_buttons(html)","def add_create_pl_btn(self):\n self.create_pl = QPushButton(\"Add to playlist\")\n self.create_pl.clicked.connect(self.pl_btn_push)\n self.hbtnbox.addWidget(self.create_pl)","def test_visible_widgets(plugin_dialog):\n\n assert plugin_dialog.direct_entry_edit.isVisible()\n assert plugin_dialog.direct_entry_btn.isVisible()","def handle_add(self, controller):\n \n controller.customer.CreatePizza()\n controller.show_frame(PageOne)","def test_mpushbutton_init(qtbot, dayu_type, dayu_size, icon, text):\n widget = MPushButton(icon=MIcon(icon) if icon else icon, text=text)\n widget.set_dayu_size(dayu_size)\n widget.set_dayu_type(dayu_type)\n qtbot.addWidget(widget)\n\n assert widget.property('dayu_type') == dayu_type\n assert widget.property('dayu_size') == dayu_size","def display(self):\n\t\tprint('The button in the window was clicked!')","def add():\n pass","def add_another(self):\n message = qtw.QMessageBox(qtw.QMessageBox.information, 'Albums', \"Album added\",\n buttons=qtw.QMessageBox.Ok, parent=self)\n message.setDefaultButton(qtw.QMessageBox.Ok)\n message.setEscapeButton(qtw.QMessageBox.Ok)\n next_button = create_next_button(message)\n message.exec_()\n if message.clickedButton() == next_button:\n self.parent().do_new(keep_sel=self.keep_sel)","def test_add_action(self):\n mdp = MDP()\n\n mdp.add_action(0)\n self.assertEqual(mdp.num_actions(), 1)\n self.assertEqual(type(mdp.get_action(0)), Action)\n self.assertIn(mdp.get_action(0), mdp.get_action_list())","def test_add_task_successfully(mock_add, name, note, type_, test_operator,\n header_fx):\n # pylint: disable=too-many-arguments\n task = test_operator.add_task(name, note, type_)\n mock_add.assert_called_with(header_fx)\n\n assert task.text == name\n\n if note:\n assert task.notes == note\n else:\n assert not task.notes\n\n if type_:\n assert task.tasktype == type_\n else:\n assert task.tasktype == \"todo\"","def show_add_actor(self):\n\t\tformulario = view_form_actor.Form(self)\n\t\tformulario.exec_()\n\t\tself.load_data()","def test_add_template(self):\n\n widget = part.Part(self.api, pk=10000)\n\n n = len(widget.getTestTemplates())\n\n part.PartTestTemplate.create(self.api, {\n 'part': widget.pk,\n 'test_name': f\"Test_Name_{n}\",\n 'description': 'A test or something',\n 'required': True,\n })\n\n self.assertEqual(len(widget.getTestTemplates()), n + 1)","def click_add_new_note_button(self):\n self.click_element(self.add_dispute_note_button_locator)","def test_add_user(self):\n pass","def test_successful_add_instructor():\n assert add_instructor('mary', 'jones', 'instructor')","def test_admin_event_admin_add(self):\n response = self.client.get(\"/admin/appointment/event/add/\")\n self.assertEqual(response.status_code, 200)","def DoAdd(self,event):\r\n newItem = self.data.add()\r\n if newItem and newItem not in self.items:\r\n self.items = self.data.getItemList()\r\n index = self.items.index(newItem)\r\n self.list.InsertItems([newItem],index)","def test_item_add_failure():\n sc.menu = sc.default_menu\n with pt.raises(Exception):\n sc.current.add_item('Spam Musubi', 1)","def test_recipe_nutrition_label_widget(self):\n pass","def test_edit_boat(self):\n pass","def test_add1(self):\n self.assertEqual(15, add(10 , 5), \"should be 15\")","def test_component_add_ok(self):\n test_name = sys._getframe().f_code.co_name\n self._execute('component add new_component new_user')\n rv, output = self._execute('component list')\n self.assertEqual(0, rv)\n self.assertEqual(self.expected_results[test_name], output)","def test_add(self):\n r = main.List.connection()\n main.List.add(r, \"ToDo\", 1, \"Buy apples\", 2, \"20.05.2015\")\n task = r.get(\"ToDo\")\n self.assertTrue(task, \"No such entry in DB. Adding failed.\")","def OnAdd(self, controller):\n pass","def add_to_toolbar ( self, toolbar_item ):\r\n pass","def test_add_new_post(self):\n with self.client:\n self.client.post(\n url_for('login'), \n data=dict(\n email='admin@admin.com',\n password='admin2016'\n ),\n follow_redirects=True\n )\n response = self.client.post(\n url_for('post'),\n data=dict(\n title=\"Test Title\",\n content=\"Test Content\"\n ),\n follow_redirects=True\n )\n self.assertIn(b'Test Title', response.data)"],"string":"[\n \"def test_add_button(self):\\n btn = utils.add_button()\\n self.assertIsInstance(btn, Button)\",\n \"def test_create_custom_button(self):\\n pass\",\n \"def test_update_custom_button(self):\\n pass\",\n \"def test_add_form(self):\\n\\n with self.client:\\n result = self.client.get('/users/new')\\n self.assertEqual(result.status_code, 200)\\n self.assertIn(b'<h1 class=\\\"display-5 mt-4\\\">Create a user</h1>', result.data)\",\n \"def test_delete_custom_button(self):\\n pass\",\n \"def test_get_custom_button(self):\\n pass\",\n \"def add_unit(self):\\n self.q(css=self._bounded_selector(self.ADD_BUTTON_SELECTOR)).click()\",\n \"def click_add_new_record_button(self):\\n self.click_element(self.add_new_record_button_locator, True)\",\n \"def test_add_success(self):\\n self.open_url('/group/add')\\n name = \\\"GroupsTest.test_add_success\\\"\\n el = self.wd.find_element(By.ID, \\\"name\\\")\\n el.send_keys(name)\\n self.submit_form(\\\"group_form\\\")\\n self.assertEquals('Group List', self.wd.title)\\n self.assert_in_list_table(name)\",\n \"def test_add_one_more_test(self):\\n self.assertTrue(True)\",\n \"def test_gameAddText(self):\\n # this is tested graphically, it is UI\\n pass\",\n \"def test_exist_add_to_basket_btn(browser):\\n\\n browser.get(link)\\n time.sleep(3)\\n assert is_element_exist_by_class_name(browser, \\\"btn-add-to-basket\\\"), \\\"Element doesn't exist\\\"\",\n \"def test_can_not_add_more(self):\\n set_up_one_user(self, 1, 0)\\n login = self.client.login(username='test', password='2HJ1vRV0Z&3iD')\\n response = self.client.get(reverse('index'))\\n self.assertEqual(response.status_code, 200)\\n self.assertContains(response, '<button id=\\\"modalButton\\\" type=\\\"button\\\" class=\\\"btn btn-info\\\" data-toggle=\\\"modal\\\" data-target=\\\"#myModal\\\" disabled=\\\"True\\\">Add new notification</button>')\",\n \"def handleActionAdd(self):\\n self.fDialog.show()\",\n \"def test_user_add_button_redirects_to_register_page(self):\\n self.browser.get(self.warno_url)\\n self.browser.find_element_by_link_text('Users').click()\\n self.browser.find_element_by_id('new-user-redirect-button').click()\\n contents = self.browser.find_element_by_class_name('sub-title')\\n self.assertTrue('Register' in contents.text, \\\"Redirected page's subtitle did not contain 'Register'\\\")\",\n \"def validate_html_for_add_buttons(self, html, can_add=True):\\r\\n # Verify that there are no add buttons for public blocks\\r\\n add_button_html = '<div class=\\\"add-xblock-component new-component-item adding\\\"></div>'\\r\\n if can_add:\\r\\n self.assertIn(add_button_html, html)\\r\\n else:\\r\\n self.assertNotIn(add_button_html, html)\",\n \"def test_add_list(buttons):\\n app = App()\\n app[0, 0] = buttons[0]\\n app[0, 0] += buttons[1]\",\n \"def click_bulk_add_button(self):\\n self.click_element(self.bulk_add_button_locator, True)\",\n \"def test_empty_ui(self):\",\n \"def has_add_response_button(self):\\r\\n return self._is_element_visible(\\\".add-response-btn\\\")\",\n \"def test_append_no_init(buttons):\\n app = App()\\n with pytest.raises(KeyError):\\n app[0, 0] += buttons[0]\",\n \"def test_show_add_tag(self):\\r\\n\\r\\n with app.test_client() as client:\\r\\n resp = client.get(\\\"/tags/new\\\") \\r\\n html = resp.get_data(as_text=True) \\r\\n\\r\\n self.assertEqual(resp.status_code, 200)\\r\\n self.assertIn(\\\"Create Tag\\\", html)\",\n \"def click_add():\\n # TODO: 1. In frontend_script.py, create function \\\"create_window()\\\" that takes a Toplevel() as a parameter.\\n # TODO: 2. In this file, implement the code below\\n # new_window = Toplevel(root)\\n # frontend_script.create_window(new_window)\",\n \"def test_add(self):\\n self.client.login(username='admin', password='admin')\\n response = self.client.post('/add/', {'url': 'http://example.com'}, follow=True)\\n self.assertShortURLCreated(response)\",\n \"def click_add_computer(self):\\n element = self.driver.find_element_by_id(locators.add_button)\\n element.click()\",\n \"def test_edit_button_appears(self):\\n response = self.client.get(reverse('wagtailnews:index', kwargs={\\n 'pk': self.index.pk}))\\n self.assertContains(response, self.url)\",\n \"def test_add_resource(self):\\n self.login_editor() \\n\\n # invalid submission with missing required fields\\n form_data = minimal_form_data()\\n response = self.client.post('/resource/new', form_data )\\n \\n self.assertContains(response,'Por favor verifique os campos obrigatórios')\\n self.assertContains(response,'Você precisa inserir pelo menos um descritor de assunto')\\n self.assertContains(response,'Você precisa selecionar pelo menos uma área temática')\\n\\n # complete form_data with required fields and re-submit form\\n form_data = complete_form_data()\\n\\n # test valid submission\\n # after submit a valid content the view will redirect to /resources and list the objects\\n # follow=True will allow check if the new data is on the list\\n response = self.client.post('/resource/new', form_data, follow=True)\\n\\n self.assertRedirects(response, '/resources')\\n self.assertContains(response, \\\"Recurso de teste\\\")\\n\\n # check if is set cooperative center code of user (editor = BR1.1)\\n self.assertEquals(Resource.objects.all()[0].cooperative_center_code, \\\"BR1.1\\\")\",\n \"def test_register_page(self):\\n with app.test_client() as client:\\n response = client.get('/register')\\n html = response.get_data(as_text=True)\\n self.assertIn('<button type=\\\"submit\\\">Register</button>', html)\",\n \"def test_add_empty(self):\\n self.open_url('/group/add')\\n el = self.wd.find_element(By.ID, \\\"name\\\")\\n el.send_keys(\\\"\\\")\\n self.submit_form(\\\"group_form\\\")\\n # Since we're using HTML5 'required' we'll just assert that form did not submit.\\n self.assertEquals('Add Group', self.wd.title)\",\n \"def okay_button1(self, i):\\n if i.text() == \\\"OK\\\":\\n print(\\\"Entry added\\\")\",\n \"def test_add_yet_one_more_test(self):\\n self.assertTrue(True)\",\n \"def test_record_add():\\n\\n display = Display()\\n display.add('first')\\n display.add('second')\\n\\n assert len(display.display_output) == 2\",\n \"def _test_display_up_button(self):\\n return (self.product_displays.top_index > 0)\",\n \"def add_button(self):\\n if len(self.datamodels) == 0:#In this case the button is deleted completely as there is no reference to it\\n self.addDataDisplays = QtGui.QPushButton(self) #Draw (+) button to add data displays\\n self.addDataDisplays.setText(\\\"+\\\")\\n self.addDataDisplays.clicked.connect(self.add_data_display)\\n self.verticalLayout.removeWidget(self.addDataDisplays)\\n self.verticalLayout.addWidget(self.addDataDisplays)\",\n \"def test_display_form(self):\\n response = self.client.get(reverse('tracking:internal-register'))\\n self.assertEqual(response.status_code, HTTPStatus.OK)\\n self.assertContains(\\n response,\\n '<h1>Registro de Entrada Comunidad Anáhuac</h1>',\\n html=True\\n )\",\n \"def on_the_groups_page_click_add(driver):\\n assert wait_on_element(driver, 10, xpaths.groups.title)\\n assert wait_on_element(driver, 10, xpaths.button.add, 'clickable')\\n driver.find_element_by_xpath(xpaths.button.add).click()\",\n \"def test_no_add_button_appears(self):\\n response = self.client.get(reverse('wagtailnews:index', kwargs={\\n 'pk': self.index.pk}))\\n self.assertNotContains(response, self.url)\",\n \"def test_delete_button_appears_edit(self):\\n response = self.client.get(reverse('wagtailnews:edit', kwargs={\\n 'pk': self.index.pk, 'newsitem_pk': self.newsitem.pk}))\\n self.assertContains(response, self.url)\",\n \"def ready(self):\\n self.btnAdd.setEnabled(True)\",\n \"def test_has_tagging_button(self):\\n response = self.client.get(self.get_url(self.trait.pk))\\n context = response.context\\n self.assertTrue(context['show_tag_button'])\\n self.assertContains(response, reverse('trait_browser:source:traits:tagging', kwargs={'pk': self.trait.pk}))\",\n \"def test_has_tagging_button(self):\\n response = self.client.get(self.get_url(self.trait.pk))\\n context = response.context\\n self.assertTrue(context['show_tag_button'])\\n self.assertContains(response, reverse('trait_browser:source:traits:tagging', kwargs={'pk': self.trait.pk}))\",\n \"def test_add_article_via_details(self):\\n log.debug( 'starting test_add_article_via_details()' )\\n driver = self.driver\\n\\n # confirm the 'details search' view is not shown\\n details_element = driver.find_element_by_css_selector( 'div#articleDetails' )\\n self.assertEqual(\\n False,\\n details_element.is_displayed() )\\n\\n # click option 3: 'Enter article details'\\n driver.find_element_by_id(\\\"ui-accordion-artcit-header-2\\\").click()\\n\\n # confirm the 'details search' view is shown\\n time.sleep( 1 )\\n details_element = driver.find_element_by_css_selector( 'div#articleDetails' )\\n self.assertEqual(\\n True,\\n details_element.is_displayed() )\\n\\n # confirm the button is clickable\\n button_element = driver.find_element_by_id(\\\"details_submit_button\\\")\\n self.assertEqual(\\n '',\\n button_element.get_attribute( 'class' ) )\\n\\n # confirm no button-triggered tooltips\\n button_element = driver.find_element_by_id(\\\"details_submit_button\\\")\\n self.assertEqual(\\n None,\\n button_element.get_attribute('aria-describedby') )\\n # print( 'aria-describedby before, %s' % button_element.get_attribute('aria-describedby') )\\n\\n # hover over the submit button\\n button_element = driver.find_element_by_id(\\\"details_submit_button\\\")\\n hover = ActionChains(driver).move_to_element(button_element)\\n hover.perform()\\n\\n # confirm the button-triggered tooltips\\n # button_element = driver.find_element_by_id(\\\"details_submit_button\\\")\\n self.assertEqual(\\n 'ui-tooltip-0',\\n button_element.get_attribute('aria-describedby') )\\n # print( 'aria-describedby after hover, %s' % button_element.get_attribute('aria-describedby') )\\n\\n # confirm the button is disabled\\n self.assertEqual(\\n 'disabled',\\n button_element.get_attribute( 'class' ) )\\n\\n # try to click submit anyway, without filling in required fields\\n driver.find_element_by_id( 'details_submit_button' ).click()\\n\\n # confirm we're still on the same page\\n self.assertTrue( 'reserves/cr/requestarticle.php' in self.driver.current_url )\\n\\n # confirm the 'details search' view is still shown\\n details_element = driver.find_element_by_css_selector( 'div#articleDetails' )\\n self.assertEqual(\\n True,\\n details_element.is_displayed() )\\n\\n # enter title\\n driver.find_element_by_name(\\\"atitle\\\").clear()\\n driver.find_element_by_name(\\\"atitle\\\").send_keys( self.test_article_name )\\n\\n # enter journal title\\n driver.find_element_by_name(\\\"title\\\").clear()\\n driver.find_element_by_name(\\\"title\\\").send_keys( self.journal_title )\\n\\n # enter date\\n driver.find_element_by_css_selector( 'input[class=\\\"req datep inp_date hasDatepicker\\\"]' ).clear() # can't use `id` because it's dynamic\\n driver.find_element_by_css_selector( 'input[class=\\\"req datep inp_date hasDatepicker\\\"]' ).send_keys( self.article_date )\\n driver.find_element_by_css_selector( 'input[class=\\\"req datep inp_date hasDatepicker\\\"]' ).send_keys( Keys.TAB ) # submit button not active until leaving required date field.\\n\\n # confirm the button is enabled\\n time.sleep( 2 )\\n self.assertEqual(\\n '',\\n button_element.get_attribute( 'class' ) )\\n\\n # click submit\\n driver.find_element_by_id( 'details_submit_button' ).click()\\n\\n # confirm user sees the Copyright info\\n self.assertEqual(\\n True,\\n 'Copyright' in self.driver.find_element_by_css_selector( 'div#maincontent > h3' ).text\\n )\\n\\n # confirm entered title is shown on copyright page\\n self.assertEqual(\\n True,\\n self.test_article_name in self.driver.find_element_by_css_selector( 'div#maincontent > blockquote' ).text\\n )\\n\\n # click the 'The work is a <b>U.S. Government document</b> not protected by copyright' link\\n driver.find_element_by_css_selector( 'button[value=\\\"gov doc\\\"]' ).click()\\n\\n # confirm we've gotten to the 'Place PDFs on E-Reserves' screen\\n self.assertEqual(\\n True,\\n 'Place PDFs on E-Reserves' in self.driver.find_element_by_css_selector( 'div#maincontent > h3' ).text\\n )\\n\\n # confirm the 'pdf upload' section is visible\\n pdf_upload_element = driver.find_element_by_css_selector( 'div#pdfupload' )\\n self.assertEqual(\\n True,\\n pdf_upload_element.is_displayed() )\\n\\n # click the 'I will email or upload a PDF at a later time' option\\n driver.find_element_by_name(\\\"ereserve\\\").click()\\n\\n # assert we're back to the course page via url\\n self.assertTrue( 'reserves/cr/class/?classid=5734' in self.driver.current_url )\\n\\n # confirm the confirmation block exists\\n self.assertEqual(\\n True,\\n 'New article' in self.driver.find_element_by_css_selector( 'p[class=\\\"notice success\\\"]' ).text\\n )\\n\\n # click the 'View' link for 'Online Readings'\\n driver.find_element_by_xpath(\\\"(//a[contains(text(),'View')])[2]\\\").click()\\n\\n # get the article html\\n article_html = driver.find_element_by_css_selector( 'table[data-restype=\\\"article\\\"]' ).text\\n\\n # test that the added article is listed\\n self.assertEqual(\\n True,\\n self.test_article_name in article_html\\n )\\n\\n # determine delete link\\n article_table_element = driver.find_element_by_css_selector( 'div#articles > table > tbody' )\\n table_rows = article_table_element.find_elements_by_tag_name( 'tr' )\\n target_row_counter = 1 # because xpath call is 1-indexed, not zero-indexed\\n for row in table_rows:\\n if self.test_article_name in row.text:\\n break\\n else:\\n target_row_counter += 1\\n # print( '- TARGET ROW COUNTER, %s' % target_row_counter )\\n\\n # click the delete link\\n driver.find_element_by_xpath( \\\"(//a[contains(text(),'Delete')])[%s]\\\" % target_row_counter ).click()\\n\\n # test that the added article is no longer listed\\n time.sleep( 2 ) # needed; an immediate check will still show the text of the deleted citation\\n article_html = driver.find_element_by_css_selector( 'table[data-restype=\\\"article\\\"]' ).text\\n self.assertTrue( self.test_article_name not in article_html )\",\n \"def test_add_control(perfectModelEnsemble_initialized_control):\\n assert perfectModelEnsemble_initialized_control.get_control()\",\n \"def buttonAdd_Clicked( self, event ):\\n\\t\\tid = DM.FixedIndex(self._combos[self._treasureIndex].GetSelection())\\n\\t\\tif id is not None and id >= DM.FixedIndex(0):\\n\\t\\t\\tqty = self.spinCtrlQuantity.GetValue()\\n\\t\\t\\tprob = self.spinCtrlProbability.GetValue()\\n\\t\\t\\ttreasure = (id, prob, qty)\\n\\t\\t\\tself.Treasure[self._treasureIndex].append(treasure)\\n\\t\\t\\tself.refreshTreasureList()\",\n \"def newInsertionNeedleSet(self):\\n #productive #onButton\\n profbox()\\n widget = slicer.modules.NeedleFinderWidget\\n if widget.newInsertionButton:\\n dialog = qt.QDialog()\\n messageBox = qt.QMessageBox.information( dialog, 'Information','You are creating a new set of needles')\\n self.round +=1\\n widget.newInsertionButton.setText('Start a new set of needles - Round ' + str(self.round+1)+'?')\\n widget.deleteNeedleButton.setText('Delete Needles from round ' + str(self.round))\",\n \"def test_ui_menu(test):\\n assert hl.test_help_ui_menu(test) == test\",\n \"def test_add(self):\\n print('test_add')\\n \\n self.assertEqual(120, add(100, 20))\\n self.assertNotEqual(3, add(10, 10))\",\n \"def test_new_trait_button_with_new_variables(self):\\n new_study_version = factories.SourceStudyVersionFactory.create(\\n study=self.study,\\n i_version=self.study_version.i_version + 1,\\n i_date_added=timezone.now())\\n # Create a new trait in this version\\n new_traits = factories.SourceTraitFactory.create_batch(\\n 2, source_dataset__source_study_version=new_study_version)\\n response = self.client.get(self.get_url(self.study.pk))\\n context = response.context\\n self.assertIn('show_new_trait_button', context)\\n self.assertTrue(context['show_new_trait_button'])\\n self.assertContains(response, reverse('trait_browser:source:studies:pk:traits:new', args=[self.study.pk]))\",\n \"def add_button(self, title, callback, display_opt=None):\\n button = wx.Button(self.button_panel, -1, title)\\n button.Bind(wx.EVT_BUTTON, callback)\\n button.display_opt = display_opt\\n self.buttons.append(button)\\n self.button_sizer.Add(button, 0)\",\n \"def test_add_item_adds_single_entry():\\n sc.menu = sc.default_menu\\n sc.current.add_item('Coffee', 1)\\n assert sc.current.receipt == {'subtotal': 1.59, 'Coffee': 1}\",\n \"def click_add_resolution_button(self):\\n self.click_element(self.add_resolution_button_locator)\",\n \"def click_button(self):\\n self.q(css='div#fixture input').first.click()\",\n \"def click_button(self):\\n self.q(css='div#fixture button').first.click()\",\n \"def test_add_feature_view(self):\\n print 'Running %s ...' % getName()\\n \\n seq = self.sequenceListingFixture.create_sequence_instance(self.sequenceListing)\\n# test that URL resolves to correct views function\\n found = resolve('/sequencelistings/sl%d/seq%d/add_feature/' % (self.sequenceListing.id, seq.id))\\n self.assertEqual(found.func, views.add_feature)\\n \\n response = self.client.get(reverse('sequencelistings:add_feature', \\n args=[self.sequenceListing.id, seq.id]))\\n self.assertEqual(response.status_code, 200)\\n# test that the page returns expected html contents\\n self.assertContains(response, \\\"Feature key\\\")\\n self.assertContains(response, \\\"Submit\\\")\",\n \"def test_add_remove_from_wishlist(self):\\n url = reverse('add-to-wishlist')\\n data = {\\n 'igdb': self.game.igdb,\\n 'name': self.game.name,\\n 'slug': self.game.slug,\\n 'cover_id': self.game.cover_id,\\n 'backdrop_id': self.game.backdrop_id\\n }\\n\\n add = self.client.post(url, data, format='json')\\n self.assertEqual(True, add.data['value'])\\n\\n remove = self.client.post(url, data, format='json')\\n self.assertEqual(False, remove.data['value'])\",\n \"def test_add(self):\\n # add a todo\\n self.add(title=\\\"Sample task todo\\\", description=\\\"for sample\\\", state=\\\"todo\\\")\\n task = Task.query.filter_by(title='Sample task todo').first()\\n self.assertEqual(task.description, 'for sample')\\n self.assertEqual(task.state, 'todo')\\n\\n # add a doing\\n self.add(title=\\\"Sample task doing\\\", description=\\\"for sample\\\", state=\\\"doing\\\")\\n task = Task.query.filter_by(title=\\\"Sample task doing\\\").first()\\n self.assertEqual(task.description, 'for sample')\\n self.assertEqual(task.state, 'doing')\\n\\n # add a done\\n self.add(title=\\\"Sample task done\\\", description=\\\"for sample\\\", state=\\\"done\\\")\\n task = Task.query.filter_by(title='Sample task done').first()\\n self.assertEqual(task.description, 'for sample')\\n self.assertEqual(task.state, 'done')\",\n \"def test_constructor_visible_widgets(plugin_dialog_constructor):\\n assert not plugin_dialog_constructor.direct_entry_edit.isVisible()\\n assert not plugin_dialog_constructor.direct_entry_btn.isVisible()\",\n \"def test_add(self):\\n # Everything added will be deleted later in test_delete.\\n first_name = 'Trevor'\\n last_name = 'Harvey'\\n entry_date = '04/19/2012'\\n title = 'Test'\\n minutes = 34\\n notes = 'testing entries. and regex (555) 555-3425'\\n self.data.add(first_name, last_name, entry_date, title, minutes, notes)\\n # second test add\\n first_name = 'Nik'\\n last_name = 'Silver'\\n entry_date = '01/14/1827'\\n title = 'random@mail.com'\\n minutes = 34\\n notes = 'This is an email test.'\\n\\n self.data.add(first_name, last_name, entry_date, title, minutes, notes)\",\n \"def test_add(self):\\n self.assertEqual(3, add(1, 2))\\n self.assertNotEqual(3, add(2, 2))\",\n \"def test_add_duplicate(self):\\n self.open_url('/group/add')\\n el = self.wd.find_element(By.ID, \\\"name\\\")\\n el.send_keys(\\\"First Group\\\")\\n self.submit_form(\\\"group_form\\\")\\n self.assert_form_error(\\\"Group \\\\\\\"First Group\\\\\\\" already exists.\\\")\",\n \"def addbutton_click(self):\\n pais = self.ui.qlinepais.text()\\n nome = self.ui.qlinenome.text()\\n presidente = self.ui.qlinepres.text()\\n email_contato = self.ui.qlineemail.text()\\n endereco = self.ui.qlineend.text()\\n if pais and nome and presidente:\\n kwargs = {'pais': \\\"'\\\" + pais + \\\"'\\\",\\n 'nome': \\\"'\\\" + nome + \\\"'\\\",\\n 'presidente': \\\"'\\\" + presidente + \\\"'\\\"}\\n if email_contato:\\n kwargs['email_contato'] = \\\"'\\\" + email_contato + \\\"'\\\"\\n if endereco:\\n kwargs['endereco'] = \\\"'\\\" + endereco + \\\"'\\\"\\n if(insert('comite', kwargs)):\\n self.parent().hide()\\n self.parent().parent().setWindowTitle(self.parent().parent().title)\\n else:\\n showdialog ('Erro', \\\"Erro na inserção, verifique se o comite já não está cadastrado\\\");\\n \\n else:\\n showdialog('Erro', 'Os campos país, nome e presidente são obrigatórios')\",\n \"def test_add(self):\\n self.assertEqual(3, foo.add(1, 2))\\n self.assertNotEqual(3, foo.add(2, 2))\",\n \"def _addClickedSlot(self):\\r\\n\\r\\n index = self._model.add()\\r\\n self.propertiesTableView.selectionModel().setCurrentIndex(index, QtGui.QItemSelectionModel.ClearAndSelect)\\r\\n self.addButton.setEnabled(False) # We have to wait until editing is finished to avoid an invalid model\\r\\n self._editClickedSlot()\",\n \"def test_add_permission(self):\\r\\n self.assertFalse(self.creator_admin.has_add_permission(self.request))\",\n \"def newInsertionNeedleSet(self):\\r\\n # productive #onButton\\r\\n profbox()\\r\\n widget = slicer.modules.NeedleFinderWidget\\r\\n if widget.newInsertionButton:\\r\\n dialog = qt.QDialog()\\r\\n messageBox = qt.QMessageBox.information(dialog, 'Information', 'You are creating a new set of needles')\\r\\n self.round += 1\\r\\n widget.newInsertionButton.setText('Start a new set of needles - Round ' + str(self.round + 1) + '?')\\r\\n widget.deleteNeedleButton.setText('Delete Needles from round ' + str(self.round))\",\n \"def test_add_to_cart_item(self, app, pm):\\n logging.basicConfig(filename='/home/osboxes/pytest_mobile/logs/test.log', level=logging.DEBUG, filemode=\\\"w\\\")\\n app.browser.tap_button(pm.start_page.get_skip_button())\\n app.browser.tap_button(pm.main_page.get_cart_button())\\n result = app.browser.get_text(pm.my_cart_page.get_cart_empty_cart())\\n assert result == \\\"Your Cart is Empty\\\"\\n app.browser.tap_button(pm.menu_items.get_back_button())\",\n \"def click_add_financial_charges_button(self):\\n self.number_of_financial_charges_before_create = self.get_number_of_financial_charges_in_the_grid()\\n self.click_element(self.add_financial_charges_button_locator, hover=True)\",\n \"def test_admin_sms_template_view_add(self):\\n response = self.client.get('/admin/sms_module/smstemplate/add/')\\n self.failUnlessEqual(response.status_code, 200)\",\n \"def test_button(self):\\n callback = CallbackCounter()\\n display = get_display(0)\\n button = FakeButton()\\n display.register_onpress(button, callback)\\n assert callback == 0\\n display.read()\\n assert callback == 0\\n button.value = True\\n display.read()\\n assert callback == 1\\n for i in range(200):\\n display.read()\\n assert callback == 1\",\n \"def test_get(self):\\n response = self.client.get(\\\"/\\\")\\n\\n # print(response.content)\\n\\n self.assertEqual(response.status_code, HTTPStatus.OK)\\n self.assertContains(response, '<button type=\\\"submit\\\" class=\\\"btn btn-light w-50\\\">Send</button>', html=True)\",\n \"def can_add_to_toolbar ( self, action ):\\r\\n return True\",\n \"def _uiClickAddResponse(self) -> None:\\n\\n response, okClicked = AddResponseDialog.getResponse(self.widget)\\n if okClicked:\\n self.model.add_response(response)\",\n \"def test_get_custom_buttons_list(self):\\n pass\",\n \"def add_button_clicked(self, obj):\\n note = Note()\\n if self.notetype :\\n note.set_type(self.notetype)\\n try:\\n from .. import EditNote\\n EditNote(self.dbstate, self.uistate, self.track, \\n note, self.add_callback,\\n self.callertitle, extratype = [self.notetype])\\n except WindowActiveError:\\n pass\",\n \"def test_public_unit_page_html(self):\\r\\n html = self.get_page_html(self.vertical)\\r\\n self.validate_html_for_add_buttons(html)\",\n \"def add_create_pl_btn(self):\\n self.create_pl = QPushButton(\\\"Add to playlist\\\")\\n self.create_pl.clicked.connect(self.pl_btn_push)\\n self.hbtnbox.addWidget(self.create_pl)\",\n \"def test_visible_widgets(plugin_dialog):\\n\\n assert plugin_dialog.direct_entry_edit.isVisible()\\n assert plugin_dialog.direct_entry_btn.isVisible()\",\n \"def handle_add(self, controller):\\n \\n controller.customer.CreatePizza()\\n controller.show_frame(PageOne)\",\n \"def test_mpushbutton_init(qtbot, dayu_type, dayu_size, icon, text):\\n widget = MPushButton(icon=MIcon(icon) if icon else icon, text=text)\\n widget.set_dayu_size(dayu_size)\\n widget.set_dayu_type(dayu_type)\\n qtbot.addWidget(widget)\\n\\n assert widget.property('dayu_type') == dayu_type\\n assert widget.property('dayu_size') == dayu_size\",\n \"def display(self):\\n\\t\\tprint('The button in the window was clicked!')\",\n \"def add():\\n pass\",\n \"def add_another(self):\\n message = qtw.QMessageBox(qtw.QMessageBox.information, 'Albums', \\\"Album added\\\",\\n buttons=qtw.QMessageBox.Ok, parent=self)\\n message.setDefaultButton(qtw.QMessageBox.Ok)\\n message.setEscapeButton(qtw.QMessageBox.Ok)\\n next_button = create_next_button(message)\\n message.exec_()\\n if message.clickedButton() == next_button:\\n self.parent().do_new(keep_sel=self.keep_sel)\",\n \"def test_add_action(self):\\n mdp = MDP()\\n\\n mdp.add_action(0)\\n self.assertEqual(mdp.num_actions(), 1)\\n self.assertEqual(type(mdp.get_action(0)), Action)\\n self.assertIn(mdp.get_action(0), mdp.get_action_list())\",\n \"def test_add_task_successfully(mock_add, name, note, type_, test_operator,\\n header_fx):\\n # pylint: disable=too-many-arguments\\n task = test_operator.add_task(name, note, type_)\\n mock_add.assert_called_with(header_fx)\\n\\n assert task.text == name\\n\\n if note:\\n assert task.notes == note\\n else:\\n assert not task.notes\\n\\n if type_:\\n assert task.tasktype == type_\\n else:\\n assert task.tasktype == \\\"todo\\\"\",\n \"def show_add_actor(self):\\n\\t\\tformulario = view_form_actor.Form(self)\\n\\t\\tformulario.exec_()\\n\\t\\tself.load_data()\",\n \"def test_add_template(self):\\n\\n widget = part.Part(self.api, pk=10000)\\n\\n n = len(widget.getTestTemplates())\\n\\n part.PartTestTemplate.create(self.api, {\\n 'part': widget.pk,\\n 'test_name': f\\\"Test_Name_{n}\\\",\\n 'description': 'A test or something',\\n 'required': True,\\n })\\n\\n self.assertEqual(len(widget.getTestTemplates()), n + 1)\",\n \"def click_add_new_note_button(self):\\n self.click_element(self.add_dispute_note_button_locator)\",\n \"def test_add_user(self):\\n pass\",\n \"def test_successful_add_instructor():\\n assert add_instructor('mary', 'jones', 'instructor')\",\n \"def test_admin_event_admin_add(self):\\n response = self.client.get(\\\"/admin/appointment/event/add/\\\")\\n self.assertEqual(response.status_code, 200)\",\n \"def DoAdd(self,event):\\r\\n newItem = self.data.add()\\r\\n if newItem and newItem not in self.items:\\r\\n self.items = self.data.getItemList()\\r\\n index = self.items.index(newItem)\\r\\n self.list.InsertItems([newItem],index)\",\n \"def test_item_add_failure():\\n sc.menu = sc.default_menu\\n with pt.raises(Exception):\\n sc.current.add_item('Spam Musubi', 1)\",\n \"def test_recipe_nutrition_label_widget(self):\\n pass\",\n \"def test_edit_boat(self):\\n pass\",\n \"def test_add1(self):\\n self.assertEqual(15, add(10 , 5), \\\"should be 15\\\")\",\n \"def test_component_add_ok(self):\\n test_name = sys._getframe().f_code.co_name\\n self._execute('component add new_component new_user')\\n rv, output = self._execute('component list')\\n self.assertEqual(0, rv)\\n self.assertEqual(self.expected_results[test_name], output)\",\n \"def test_add(self):\\n r = main.List.connection()\\n main.List.add(r, \\\"ToDo\\\", 1, \\\"Buy apples\\\", 2, \\\"20.05.2015\\\")\\n task = r.get(\\\"ToDo\\\")\\n self.assertTrue(task, \\\"No such entry in DB. Adding failed.\\\")\",\n \"def OnAdd(self, controller):\\n pass\",\n \"def add_to_toolbar ( self, toolbar_item ):\\r\\n pass\",\n \"def test_add_new_post(self):\\n with self.client:\\n self.client.post(\\n url_for('login'), \\n data=dict(\\n email='admin@admin.com',\\n password='admin2016'\\n ),\\n follow_redirects=True\\n )\\n response = self.client.post(\\n url_for('post'),\\n data=dict(\\n title=\\\"Test Title\\\",\\n content=\\\"Test Content\\\"\\n ),\\n follow_redirects=True\\n )\\n self.assertIn(b'Test Title', response.data)\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.7815246","0.7325054","0.69925904","0.69816005","0.6961596","0.67576945","0.6751668","0.67433363","0.6669086","0.65231645","0.64985496","0.64942086","0.6476833","0.64543915","0.64284575","0.64268816","0.64163435","0.64100766","0.63750327","0.634055","0.6330978","0.6323068","0.62909","0.62805665","0.6267375","0.6252088","0.6247486","0.6205655","0.6189532","0.6187391","0.61685145","0.6168","0.615044","0.6133368","0.61206496","0.61183447","0.6106448","0.61012226","0.60852545","0.6070463","0.6070463","0.60148156","0.60070574","0.5976033","0.59733695","0.59452903","0.59427226","0.59420764","0.5928391","0.5920854","0.59184957","0.5916872","0.5910002","0.58888996","0.5879111","0.5874489","0.58651114","0.5862204","0.58610046","0.5857138","0.58245796","0.582127","0.5820538","0.58201706","0.5817687","0.5810461","0.5799389","0.57985497","0.5794548","0.5776739","0.5757334","0.5753209","0.5749048","0.57467586","0.5745538","0.57441056","0.57335675","0.5733537","0.57329726","0.5732798","0.5728504","0.571819","0.5715724","0.57135355","0.5689956","0.56863105","0.56725067","0.5665152","0.56589633","0.56566477","0.5655819","0.56537557","0.5648502","0.56417596","0.5637932","0.5633822","0.56331706","0.5624573","0.56237483","0.56201315"],"string":"[\n \"0.7815246\",\n \"0.7325054\",\n \"0.69925904\",\n \"0.69816005\",\n \"0.6961596\",\n \"0.67576945\",\n \"0.6751668\",\n \"0.67433363\",\n \"0.6669086\",\n \"0.65231645\",\n \"0.64985496\",\n \"0.64942086\",\n \"0.6476833\",\n \"0.64543915\",\n \"0.64284575\",\n \"0.64268816\",\n \"0.64163435\",\n \"0.64100766\",\n \"0.63750327\",\n \"0.634055\",\n \"0.6330978\",\n \"0.6323068\",\n \"0.62909\",\n \"0.62805665\",\n \"0.6267375\",\n \"0.6252088\",\n \"0.6247486\",\n \"0.6205655\",\n \"0.6189532\",\n \"0.6187391\",\n \"0.61685145\",\n \"0.6168\",\n \"0.615044\",\n \"0.6133368\",\n \"0.61206496\",\n \"0.61183447\",\n \"0.6106448\",\n \"0.61012226\",\n \"0.60852545\",\n \"0.6070463\",\n \"0.6070463\",\n \"0.60148156\",\n \"0.60070574\",\n \"0.5976033\",\n \"0.59733695\",\n \"0.59452903\",\n \"0.59427226\",\n \"0.59420764\",\n \"0.5928391\",\n \"0.5920854\",\n \"0.59184957\",\n \"0.5916872\",\n \"0.5910002\",\n \"0.58888996\",\n \"0.5879111\",\n \"0.5874489\",\n \"0.58651114\",\n \"0.5862204\",\n \"0.58610046\",\n \"0.5857138\",\n \"0.58245796\",\n \"0.582127\",\n \"0.5820538\",\n \"0.58201706\",\n \"0.5817687\",\n \"0.5810461\",\n \"0.5799389\",\n \"0.57985497\",\n \"0.5794548\",\n \"0.5776739\",\n \"0.5757334\",\n \"0.5753209\",\n \"0.5749048\",\n \"0.57467586\",\n \"0.5745538\",\n \"0.57441056\",\n \"0.57335675\",\n \"0.5733537\",\n \"0.57329726\",\n \"0.5732798\",\n \"0.5728504\",\n \"0.571819\",\n \"0.5715724\",\n \"0.57135355\",\n \"0.5689956\",\n \"0.56863105\",\n \"0.56725067\",\n \"0.5665152\",\n \"0.56589633\",\n \"0.56566477\",\n \"0.5655819\",\n \"0.56537557\",\n \"0.5648502\",\n \"0.56417596\",\n \"0.5637932\",\n \"0.5633822\",\n \"0.56331706\",\n \"0.5624573\",\n \"0.56237483\",\n \"0.56201315\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.7192711"},"document_rank":{"kind":"string","value":"2"}}},{"rowIdx":86770,"cells":{"query":{"kind":"string","value":"Test that the add button does not appear"},"document":{"kind":"string","value":"def test_no_add_button_appears(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertNotContains(response, self.url)"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def test_add_button(self):\n btn = utils.add_button()\n self.assertIsInstance(btn, Button)","def test_can_not_add_more(self):\n set_up_one_user(self, 1, 0)\n login = self.client.login(username='test', password='2HJ1vRV0Z&3iD')\n response = self.client.get(reverse('index'))\n self.assertEqual(response.status_code, 200)\n self.assertContains(response, '<button id=\"modalButton\" type=\"button\" class=\"btn btn-info\" data-toggle=\"modal\" data-target=\"#myModal\" disabled=\"True\">Add new notification</button>')","def test_empty_ui(self):","def test_delete_custom_button(self):\n pass","def test_create_custom_button(self):\n pass","def test_append_no_init(buttons):\n app = App()\n with pytest.raises(KeyError):\n app[0, 0] += buttons[0]","def validate_html_for_add_buttons(self, html, can_add=True):\r\n # Verify that there are no add buttons for public blocks\r\n add_button_html = '<div class=\"add-xblock-component new-component-item adding\"></div>'\r\n if can_add:\r\n self.assertIn(add_button_html, html)\r\n else:\r\n self.assertNotIn(add_button_html, html)","def test_no_delete_button_appears_edit(self):\n response = self.client.get(reverse('wagtailnews:edit', kwargs={\n 'pk': self.index.pk, 'newsitem_pk': self.newsitem.pk}))\n self.assertNotContains(response, self.url)","def test_add_button_appears(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertContains(response, self.url)","def test_update_custom_button(self):\n pass","def test_no_edit_button_appears(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertNotContains(response, self.url)","def test_add_empty(self):\n self.open_url('/group/add')\n el = self.wd.find_element(By.ID, \"name\")\n el.send_keys(\"\")\n self.submit_form(\"group_form\")\n # Since we're using HTML5 'required' we'll just assert that form did not submit.\n self.assertEquals('Add Group', self.wd.title)","def test_no_tagging_button(self):\n response = self.client.get(self.get_url(self.trait.pk))\n context = response.context\n self.assertNotContains(response, reverse('trait_browser:source:traits:tagging', kwargs={'pk': self.trait.pk}))\n self.assertFalse(context['show_tag_button'])","def test_that_not_logged_in_does_not_shows_edit_button(testapp):\n html = testapp.get('/journal/1').html\n assert not html.find('main').a","def test_add_form(self):\n\n with self.client:\n result = self.client.get('/users/new')\n self.assertEqual(result.status_code, 200)\n self.assertIn(b'<h1 class=\"display-5 mt-4\">Create a user</h1>', result.data)","def test_exist_add_to_basket_btn(browser):\n\n browser.get(link)\n time.sleep(3)\n assert is_element_exist_by_class_name(browser, \"btn-add-to-basket\"), \"Element doesn't exist\"","def test_add_one_more_test(self):\n self.assertTrue(True)","def test_add_yet_one_more_test(self):\n self.assertTrue(True)","def click_add_new_record_button(self):\n self.click_element(self.add_new_record_button_locator, True)","def test_item_add_failure():\n sc.menu = sc.default_menu\n with pt.raises(Exception):\n sc.current.add_item('Spam Musubi', 1)","def test_unauthorized_add(self):\n response = self.client.post('/add/', {'url': 'http://example.com', 'key': 'example'})\n # TODO status 403","def test_get_custom_button(self):\n pass","def test_handle_removals_add_only_if_not_in_remove(self):\n self.assertFalse(False)","def _test_display_up_button(self):\n return (self.product_displays.top_index > 0)","def is_create_non_recurring_charges_button_not_present(self):\n button_not_present = None\n try:\n self.wait(5).until(EC.presence_of_element_located(self.add_non_recurring_charge_button_locator))\n button_not_present = False\n except:\n button_not_present = True\n finally:\n return button_not_present","def has_add_response_button(self):\r\n return self._is_element_visible(\".add-response-btn\")","def soft_assert_cannot_make_proposal(info_page, soft_assert):\n soft_assert.expect(not info_page.is_propose_changes_btn_exists,\n \"'Propose Changes' button should not be displayed.\")","def add_button(self):\n if len(self.datamodels) == 0:#In this case the button is deleted completely as there is no reference to it\n self.addDataDisplays = QtGui.QPushButton(self) #Draw (+) button to add data displays\n self.addDataDisplays.setText(\"+\")\n self.addDataDisplays.clicked.connect(self.add_data_display)\n self.verticalLayout.removeWidget(self.addDataDisplays)\n self.verticalLayout.addWidget(self.addDataDisplays)","def ready(self):\n self.btnAdd.setEnabled(True)","def test_handle_add_not_admin(self):\n test_user = User(\"userid\")\n test_user.github_username = \"githubuser\"\n team = Team(\"BRS\", \"brs\", \"web\")\n team.github_team_id = \"githubid\"\n self.db.retrieve.return_value = test_user\n self.db.query.return_value = [team]\n self.assertTupleEqual(self.testcommand.handle(\"team add brs ID\", user),\n (self.testcommand.permission_error, 200))\n self.db.store.assert_not_called()\n self.gh.add_team_member.assert_not_called()","def test_constructor_visible_widgets(plugin_dialog_constructor):\n assert not plugin_dialog_constructor.direct_entry_edit.isVisible()\n assert not plugin_dialog_constructor.direct_entry_btn.isVisible()","def test_no_add_permission(client):\n user = user_with_permissions(\"polls.view_poll\")\n url = reverse(\"admin:polls_poll_changelist\")\n add_url = reverse(\"admin:polls_poll_add\")\n\n client.force_login(user)\n response = client.get(url)\n\n assert add_url not in response.content.decode()","def test_multi_add_ignored(self):\n self.widget.add_data(self.collect[0])\n self.widget.add_data(self.collect[0])\n self._test_widget_synced_with_collection()","def test_no_new_trait_button_with_no_new_variables(self):\n self.study_version.i_is_deprecated = True\n self.study_version.save()\n new_version = factories.SourceStudyVersionFactory.create(\n study=self.study, i_version=self.study_version.i_version + 1, i_date_added=timezone.now())\n for x in self.source_traits:\n factories.SourceTraitFactory.create(\n source_dataset__source_study_version=new_version,\n i_dbgap_variable_accession=x.i_dbgap_variable_accession)\n response = self.client.get(self.get_url(self.study.pk))\n context = response.context\n self.assertIn('show_new_trait_button', context)\n self.assertFalse(context['show_new_trait_button'])\n self.assertNotContains(response, reverse('trait_browser:source:studies:pk:traits:new', args=[self.study.pk]))","def test_gameAddText(self):\n # this is tested graphically, it is UI\n pass","def test_add_permission(self):\r\n self.assertFalse(self.creator_admin.has_add_permission(self.request))","def test_add_remove_from_wishlist(self):\n url = reverse('add-to-wishlist')\n data = {\n 'igdb': self.game.igdb,\n 'name': self.game.name,\n 'slug': self.game.slug,\n 'cover_id': self.game.cover_id,\n 'backdrop_id': self.game.backdrop_id\n }\n\n add = self.client.post(url, data, format='json')\n self.assertEqual(True, add.data['value'])\n\n remove = self.client.post(url, data, format='json')\n self.assertEqual(False, remove.data['value'])","def add_unit(self):\n self.q(css=self._bounded_selector(self.ADD_BUTTON_SELECTOR)).click()","def test_no_delete_button_appears_index(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertNotContains(response, self.url)","def test_delete_button_appears_edit(self):\n response = self.client.get(reverse('wagtailnews:edit', kwargs={\n 'pk': self.index.pk, 'newsitem_pk': self.newsitem.pk}))\n self.assertContains(response, self.url)","def test_remove(self):\n pass","def test_add_tag_invalid(self):\r\n\r\n with app.test_client() as client: \r\n d = {\"name\": \"\"}\r\n resp = client.post(\"/tags/new\", data=d, follow_redirects=True)\r\n html = resp.get_data(as_text=True)\r\n\r\n self.assertEqual(resp.status_code, 200)\r\n self.assertIn(\"Please enter tag name\", html)","def click_bulk_add_button(self):\n self.click_element(self.bulk_add_button_locator, True)","def soft_assert_cannot_add_comment(soft_assert, obj):\n info_page = factory.get_cls_webui_service(\n objects.get_plural(obj.type))().open_info_page_of_obj(obj)\n info_page.comments_panel.click_add_button()\n # wait until new tab contains info page url\n _, new_tab = browsers.get_browser().windows()\n test_utils.wait_for(lambda: new_tab.url.endswith(url.Widget.INFO))\n soft_assert.expect(\n not info_page.comments_panel.comment_input.exists,\n \"There should be no input field in comments panel.\")","def test_homepage_has_correct_buttons_showing_when_not_logged_in(testapp):\n html = testapp.get('/').html\n logout = html.find(class_=\"navbar-right\").text\n create = html.find(href=\"http://localhost/journal/new-entry\")\n assert logout == '\\n Login\\n'\n assert not create","def test_filter_not_available_plugins(plugin_dialog_constructor):\n item = plugin_dialog_constructor.available_list.item(0)\n widget = plugin_dialog_constructor.available_list.itemWidget(item)\n if widget:\n assert not widget.action_button.isEnabled()\n assert widget.warning_tooltip.isVisible()\n\n item = plugin_dialog_constructor.available_list.item(1)\n widget = plugin_dialog_constructor.available_list.itemWidget(item)\n assert widget.action_button.isEnabled()\n assert not widget.warning_tooltip.isVisible()","def test_no_tagged_trait_remove_button(self):\n tagged_traits = TaggedTraitFactory.create_batch(3, trait=self.trait)\n response = self.client.get(self.get_url(self.trait.pk))\n context = response.context\n for (a, b) in context['tagged_traits_with_xs']:\n self.assertFalse(b)\n for tt in tagged_traits:\n self.assertNotContains(response, reverse('tags:tagged-traits:pk:delete', kwargs={'pk': tt.pk}))","def test_dashboard_without_recipe(self):\n self.signup('Bo', 'Theo', 'Bo_theo5@example.com', 'Bo1995', 'Bo1995')\n self.login('Bo_theo5@example.com', 'Bo1995')\n self.dashboard()\n self.category('JunkFood')\n self.dashboard()\n rv = self.recipe_dashboard()\n self.assertIn(b'Please create a category Recipe', rv.data)","def test_not_creator_cannot_update_tab(self):\n\n logged_user = utils.create_user_and_authenticate(self)\n self.group.users.add(logged_user)\n expected_url = reverse('group_view', args=(self.group.pk,))\n\n utils.test_cannot_access(self, self.url, expected_url, self.data)","def test_user_add_button_redirects_to_register_page(self):\n self.browser.get(self.warno_url)\n self.browser.find_element_by_link_text('Users').click()\n self.browser.find_element_by_id('new-user-redirect-button').click()\n contents = self.browser.find_element_by_class_name('sub-title')\n self.assertTrue('Register' in contents.text, \"Redirected page's subtitle did not contain 'Register'\")","def handleActionAdd(self):\n self.fDialog.show()","def test_add_list(buttons):\n app = App()\n app[0, 0] = buttons[0]\n app[0, 0] += buttons[1]","def _addClickedSlot(self):\r\n\r\n index = self._model.add()\r\n self.propertiesTableView.selectionModel().setCurrentIndex(index, QtGui.QItemSelectionModel.ClearAndSelect)\r\n self.addButton.setEnabled(False) # We have to wait until editing is finished to avoid an invalid model\r\n self._editClickedSlot()","def test_add_duplicate(self):\n self.open_url('/group/add')\n el = self.wd.find_element(By.ID, \"name\")\n el.send_keys(\"First Group\")\n self.submit_form(\"group_form\")\n self.assert_form_error(\"Group \\\"First Group\\\" already exists.\")","def test_fail_add_instructor():\n assert add_instructor('sophia', 'smith', 'student') == False","def _clicked_no_button(self):\n self.yes = False","def test_registration_closed_button(self):\n\n participation_block = self.event_page.participation_block\n self.assertFalse(participation_block.is_button_clickable())","def test_no_new_dataset_button_with_no_new_datasets(self):\n self.study_version.i_is_deprecated = True\n self.study_version.save()\n new_version = factories.SourceStudyVersionFactory.create(\n study=self.study, i_version=self.study_version.i_version + 1, i_date_added=timezone.now())\n for dataset in self.datasets:\n factories.SourceDatasetFactory.create(\n source_study_version=new_version, i_accession=dataset.i_accession)\n response = self.client.get(self.get_url(self.study.pk))\n context = response.context\n self.assertIn('show_new_dataset_button', context)\n self.assertFalse(context['show_new_dataset_button'])\n self.assertNotContains(response, reverse('trait_browser:source:studies:pk:datasets:new', args=[self.study.pk]))","def test_invalidRemove(self):\n # Try a new tab.\n self.assertRaises(ValueError,\n self.tabView.removeTabs, [\n widgets.Tab(u'id99', u'Title 1', self.contentFactory)])\n\n # Try dupe an ID.\n self.assertRaises(ValueError,\n self.tabView.removeTabs, [\n widgets.Tab(u'id1', u'Title 1', self.contentFactory)])","def test_edit_button_appears(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertContains(response, self.url)","def can_add_to_toolbar ( self, action ):\r\n return True","def test_form_missing(self):\n self.step_data[\"basics\"] = {\"advanced\": True}\n resp = self.post_step(\"basics\")\n self.assertWizardFailure(resp, \"name\")","def click_add_computer(self):\n element = self.driver.find_element_by_id(locators.add_button)\n element.click()","def test_add_success(self):\n self.open_url('/group/add')\n name = \"GroupsTest.test_add_success\"\n el = self.wd.find_element(By.ID, \"name\")\n el.send_keys(name)\n self.submit_form(\"group_form\")\n self.assertEquals('Group List', self.wd.title)\n self.assert_in_list_table(name)","def test_task_add_invalid_form():\n pytest.fail('Not implemented yet.')","def test_ui_menu(test):\n assert hl.test_help_ui_menu(test) == test","def test_no_tagging_button_if_deprecated(self):\n study_version = self.trait.source_dataset.source_study_version\n study_version.i_is_deprecated = True\n study_version.save()\n response = self.client.get(self.get_url(self.trait.pk))\n context = response.context\n self.assertFalse(context['show_tag_button'])\n self.assertNotContains(response, reverse('trait_browser:source:traits:tagging', kwargs={'pk': self.trait.pk}))","def test_no_tagging_button_if_deprecated(self):\n study_version = self.trait.source_dataset.source_study_version\n study_version.i_is_deprecated = True\n study_version.save()\n response = self.client.get(self.get_url(self.trait.pk))\n context = response.context\n self.assertFalse(context['show_tag_button'])\n self.assertNotContains(response, reverse('trait_browser:source:traits:tagging', kwargs={'pk': self.trait.pk}))","def test_remove_form_negative_pk(self):\n form = RemoveForm({'pk': -1})\n self.assertFalse(form.is_valid())","def test_no_enable_shoppingcart(self):\r\n self.add_to_cart()\r\n self.request.user = self.user\r\n context = user_has_cart_context_processor(self.request)\r\n self.assertFalse(context['display_shopping_cart'])","def newInsertionNeedleSet(self):\n #productive #onButton\n profbox()\n widget = slicer.modules.NeedleFinderWidget\n if widget.newInsertionButton:\n dialog = qt.QDialog()\n messageBox = qt.QMessageBox.information( dialog, 'Information','You are creating a new set of needles')\n self.round +=1\n widget.newInsertionButton.setText('Start a new set of needles - Round ' + str(self.round+1)+'?')\n widget.deleteNeedleButton.setText('Delete Needles from round ' + str(self.round))","def test_add(self):\n self.assertEqual(3, add(1, 2))\n self.assertNotEqual(3, add(2, 2))","def test_remove_form(self):\n set_up_one_user(self, 1, 0)\n login = self.client.login(username='test', password='2HJ1vRV0Z&3iD')\n s1 = Search.objects.get(terms_en=\"test0\")\n self.assertEqual(s1.user, self.user)\n response = self.client.post(reverse('index'), {'pk': s1.pk})\n s2 = Search.objects.filter(terms_en=\"test1\")\n self.assertEqual(response.status_code, 302)\n self.assertEqual(len(s2), 0)","def test_add_resource(self):\n self.login_editor() \n\n # invalid submission with missing required fields\n form_data = minimal_form_data()\n response = self.client.post('/resource/new', form_data )\n \n self.assertContains(response,'Por favor verifique os campos obrigatórios')\n self.assertContains(response,'Você precisa inserir pelo menos um descritor de assunto')\n self.assertContains(response,'Você precisa selecionar pelo menos uma área temática')\n\n # complete form_data with required fields and re-submit form\n form_data = complete_form_data()\n\n # test valid submission\n # after submit a valid content the view will redirect to /resources and list the objects\n # follow=True will allow check if the new data is on the list\n response = self.client.post('/resource/new', form_data, follow=True)\n\n self.assertRedirects(response, '/resources')\n self.assertContains(response, \"Recurso de teste\")\n\n # check if is set cooperative center code of user (editor = BR1.1)\n self.assertEquals(Resource.objects.all()[0].cooperative_center_code, \"BR1.1\")","def test08_add_equal_students_with_admin(self):\n actual_save_data_changes_button = \\\n self.students_page.click_edit_students_list_button().\\\n click_add_new_student_button().\\\n enter_student_data(data['first_new_student']). \\\n click_save_data_changes_button().\\\n click_add_new_student_button(). \\\n enter_student_data(data['first_new_student']). \\\n save_data_changes_button\n actual_save_data_changes_button.click()\n # save data changes button have not to be enabled for\n # adding two equal students\n self.assertTrue(actual_save_data_changes_button.is_enabled())","def buttonAdd_Clicked( self, event ):\n\t\tid = DM.FixedIndex(self._combos[self._treasureIndex].GetSelection())\n\t\tif id is not None and id >= DM.FixedIndex(0):\n\t\t\tqty = self.spinCtrlQuantity.GetValue()\n\t\t\tprob = self.spinCtrlProbability.GetValue()\n\t\t\ttreasure = (id, prob, qty)\n\t\t\tself.Treasure[self._treasureIndex].append(treasure)\n\t\t\tself.refreshTreasureList()","def test_not_creator_cannot_delete_tab(self):\n\n logged_user = utils.create_user_and_authenticate(self)\n self.group.users.add(logged_user)\n expected_url = reverse('group_view', args=(self.group.pk,))\n\n utils.test_cannot_access(self, self.url, expected_url)\n self.assertEqual(len(Tab.objects.all()), 1)","def test_remove_item_failure():\n sc.menu = sc.default_menu\n sc.current.add_item('Steak', 1)\n with pt.raises(Exception):\n sc.current.remove_item('Faygo', 1)","def add_button_clicked(self, obj):\n note = Note()\n if self.notetype :\n note.set_type(self.notetype)\n try:\n from .. import EditNote\n EditNote(self.dbstate, self.uistate, self.track, \n note, self.add_callback,\n self.callertitle, extratype = [self.notetype])\n except WindowActiveError:\n pass","def test_add(self):\n self.assertEqual(3, foo.add(1, 2))\n self.assertNotEqual(3, foo.add(2, 2))","def okay_button1(self, i):\n if i.text() == \"OK\":\n print(\"Entry added\")","def test_add_question_invalid_text(self):\r\n print(\"Add question without Q text\")\r\n q_text = \"\"\r\n q_type = 1\r\n q_required = 1\r\n q_responses = [\"Yes\", \"No\"]\r\n\r\n prev_noQuestions = len(Question.query.all())\r\n self.assertEqual(self.system.add_question(q_text, q_type, q_required, q_responses), 0)\r\n curr_noQuestions = len(Question.query.all())\r\n self.assertEqual(prev_noQuestions, curr_noQuestions)","def test_adding_invalid_file(self):\n (added, status) = self.app.add_album(__file__)\n self.assertEqual(added, False)\n self.assertIn('Unable to load', status)\n self.assertEqual(self.get_album_count(), 0)","def click_remove_dispute_button_without_selection(self):\n remove_dispute_button_element = self.wait().until(EC.element_to_be_clickable(self.remove_dispute_button_locator), 'remove dispute button locator not found before specified time out')\n remove_dispute_button_element.click()\n self.wait_for_ajax_spinner_load()\n try:\n self.wait().until(EC.presence_of_element_located(self.error_message_locator), 'error message locator not found before specified time out')\n self.wait_for_ajax_spinner_load()\n ok_button_element = self.wait().until(EC.element_to_be_clickable(self.ok_button_locator), 'ok button locator not found before specified time out')\n ok_button_element.click()\n except:\n raise\n self.wait_for_ajax_spinner_load()","def test_no_tagged_trait_remove_button_for_other_study(self):\n other_trait = factories.SourceTraitFactory.create()\n tagged_trait = TaggedTrait.objects.create(tag=self.tag, trait=other_trait, creator=self.user)\n response = self.client.get(self.get_url(other_trait.pk))\n context = response.context\n for (a, b) in context['tagged_traits_with_xs']:\n self.assertFalse(b)\n self.assertNotContains(response, reverse('tags:tagged-traits:pk:delete', kwargs={'pk': self.tag.pk}))","def test_public_unit_page_html(self):\r\n html = self.get_page_html(self.vertical)\r\n self.validate_html_for_add_buttons(html)","def DoAdd(self,event):\r\n newItem = self.data.add()\r\n if newItem and newItem not in self.items:\r\n self.items = self.data.getItemList()\r\n index = self.items.index(newItem)\r\n self.list.InsertItems([newItem],index)","def test_add_without_name(self):\n good = GoodInfo(\"\", \"30\", \"40\", \"2020-12-30\", \n \"14\", \"2020-12-30\")\n check_product_data = self.database.add(good)\n\n self.assertFalse(check_product_data)","def test_add_article_via_details(self):\n log.debug( 'starting test_add_article_via_details()' )\n driver = self.driver\n\n # confirm the 'details search' view is not shown\n details_element = driver.find_element_by_css_selector( 'div#articleDetails' )\n self.assertEqual(\n False,\n details_element.is_displayed() )\n\n # click option 3: 'Enter article details'\n driver.find_element_by_id(\"ui-accordion-artcit-header-2\").click()\n\n # confirm the 'details search' view is shown\n time.sleep( 1 )\n details_element = driver.find_element_by_css_selector( 'div#articleDetails' )\n self.assertEqual(\n True,\n details_element.is_displayed() )\n\n # confirm the button is clickable\n button_element = driver.find_element_by_id(\"details_submit_button\")\n self.assertEqual(\n '',\n button_element.get_attribute( 'class' ) )\n\n # confirm no button-triggered tooltips\n button_element = driver.find_element_by_id(\"details_submit_button\")\n self.assertEqual(\n None,\n button_element.get_attribute('aria-describedby') )\n # print( 'aria-describedby before, %s' % button_element.get_attribute('aria-describedby') )\n\n # hover over the submit button\n button_element = driver.find_element_by_id(\"details_submit_button\")\n hover = ActionChains(driver).move_to_element(button_element)\n hover.perform()\n\n # confirm the button-triggered tooltips\n # button_element = driver.find_element_by_id(\"details_submit_button\")\n self.assertEqual(\n 'ui-tooltip-0',\n button_element.get_attribute('aria-describedby') )\n # print( 'aria-describedby after hover, %s' % button_element.get_attribute('aria-describedby') )\n\n # confirm the button is disabled\n self.assertEqual(\n 'disabled',\n button_element.get_attribute( 'class' ) )\n\n # try to click submit anyway, without filling in required fields\n driver.find_element_by_id( 'details_submit_button' ).click()\n\n # confirm we're still on the same page\n self.assertTrue( 'reserves/cr/requestarticle.php' in self.driver.current_url )\n\n # confirm the 'details search' view is still shown\n details_element = driver.find_element_by_css_selector( 'div#articleDetails' )\n self.assertEqual(\n True,\n details_element.is_displayed() )\n\n # enter title\n driver.find_element_by_name(\"atitle\").clear()\n driver.find_element_by_name(\"atitle\").send_keys( self.test_article_name )\n\n # enter journal title\n driver.find_element_by_name(\"title\").clear()\n driver.find_element_by_name(\"title\").send_keys( self.journal_title )\n\n # enter date\n driver.find_element_by_css_selector( 'input[class=\"req datep inp_date hasDatepicker\"]' ).clear() # can't use `id` because it's dynamic\n driver.find_element_by_css_selector( 'input[class=\"req datep inp_date hasDatepicker\"]' ).send_keys( self.article_date )\n driver.find_element_by_css_selector( 'input[class=\"req datep inp_date hasDatepicker\"]' ).send_keys( Keys.TAB ) # submit button not active until leaving required date field.\n\n # confirm the button is enabled\n time.sleep( 2 )\n self.assertEqual(\n '',\n button_element.get_attribute( 'class' ) )\n\n # click submit\n driver.find_element_by_id( 'details_submit_button' ).click()\n\n # confirm user sees the Copyright info\n self.assertEqual(\n True,\n 'Copyright' in self.driver.find_element_by_css_selector( 'div#maincontent > h3' ).text\n )\n\n # confirm entered title is shown on copyright page\n self.assertEqual(\n True,\n self.test_article_name in self.driver.find_element_by_css_selector( 'div#maincontent > blockquote' ).text\n )\n\n # click the 'The work is a <b>U.S. Government document</b> not protected by copyright' link\n driver.find_element_by_css_selector( 'button[value=\"gov doc\"]' ).click()\n\n # confirm we've gotten to the 'Place PDFs on E-Reserves' screen\n self.assertEqual(\n True,\n 'Place PDFs on E-Reserves' in self.driver.find_element_by_css_selector( 'div#maincontent > h3' ).text\n )\n\n # confirm the 'pdf upload' section is visible\n pdf_upload_element = driver.find_element_by_css_selector( 'div#pdfupload' )\n self.assertEqual(\n True,\n pdf_upload_element.is_displayed() )\n\n # click the 'I will email or upload a PDF at a later time' option\n driver.find_element_by_name(\"ereserve\").click()\n\n # assert we're back to the course page via url\n self.assertTrue( 'reserves/cr/class/?classid=5734' in self.driver.current_url )\n\n # confirm the confirmation block exists\n self.assertEqual(\n True,\n 'New article' in self.driver.find_element_by_css_selector( 'p[class=\"notice success\"]' ).text\n )\n\n # click the 'View' link for 'Online Readings'\n driver.find_element_by_xpath(\"(//a[contains(text(),'View')])[2]\").click()\n\n # get the article html\n article_html = driver.find_element_by_css_selector( 'table[data-restype=\"article\"]' ).text\n\n # test that the added article is listed\n self.assertEqual(\n True,\n self.test_article_name in article_html\n )\n\n # determine delete link\n article_table_element = driver.find_element_by_css_selector( 'div#articles > table > tbody' )\n table_rows = article_table_element.find_elements_by_tag_name( 'tr' )\n target_row_counter = 1 # because xpath call is 1-indexed, not zero-indexed\n for row in table_rows:\n if self.test_article_name in row.text:\n break\n else:\n target_row_counter += 1\n # print( '- TARGET ROW COUNTER, %s' % target_row_counter )\n\n # click the delete link\n driver.find_element_by_xpath( \"(//a[contains(text(),'Delete')])[%s]\" % target_row_counter ).click()\n\n # test that the added article is no longer listed\n time.sleep( 2 ) # needed; an immediate check will still show the text of the deleted citation\n article_html = driver.find_element_by_css_selector( 'table[data-restype=\"article\"]' ).text\n self.assertTrue( self.test_article_name not in article_html )","def set_button_to_create_without_constraints(self):\n self.configuration.disable_validations = True\n self.create_tool_button.removeAction(\n self.set_button_to_create_without_constraints_action\n )\n self.create_tool_button.removeAction(self.edit_command_action)\n self.create_tool_button.addAction(self.set_button_to_create_action)\n self.create_tool_button.addAction(self.edit_command_action)\n self.create_tool_button.setText(self.create_without_constraints_text)","def test_no_unpublish_button_appears(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertNotContains(response, self.url)","def click_add():\n # TODO: 1. In frontend_script.py, create function \"create_window()\" that takes a Toplevel() as a parameter.\n # TODO: 2. In this file, implement the code below\n # new_window = Toplevel(root)\n # frontend_script.create_window(new_window)","def newInsertionNeedleSet(self):\r\n # productive #onButton\r\n profbox()\r\n widget = slicer.modules.NeedleFinderWidget\r\n if widget.newInsertionButton:\r\n dialog = qt.QDialog()\r\n messageBox = qt.QMessageBox.information(dialog, 'Information', 'You are creating a new set of needles')\r\n self.round += 1\r\n widget.newInsertionButton.setText('Start a new set of needles - Round ' + str(self.round + 1) + '?')\r\n widget.deleteNeedleButton.setText('Delete Needles from round ' + str(self.round))","def test06_add_student_with_empty_fields(self):\n student_data = self.students_page.\\\n click_edit_students_list_button(). \\\n click_add_new_student_button()\n student_data.save_data_changes_button.click()\n actual_warnings = \\\n student_data.warnings_text_for_adding_student_with_empty_fields()\n self.assertEqual(actual_warnings, data['expected_warnings'])","def test_edit_tag_invalid(self):\r\n\r\n with app.test_client() as client: \r\n d = {\"name\": \"\"}\r\n resp = client.post(f\"/tags/{self.tag.id}/edit\", data=d, follow_redirects=True)\r\n html = resp.get_data(as_text=True)\r\n\r\n self.assertEqual(resp.status_code, 200)\r\n self.assertIn(\"Please enter tag name\", html)","def test_show_add_tag(self):\r\n\r\n with app.test_client() as client:\r\n resp = client.get(\"/tags/new\") \r\n html = resp.get_data(as_text=True) \r\n\r\n self.assertEqual(resp.status_code, 200)\r\n self.assertIn(\"Create Tag\", html)","def test_append_to_partial_superset(buttons):\n app = App(columns=2)\n app[0, 0] = buttons[0]\n with pytest.raises(Exception):\n app[0] += buttons[1]","def test_copy_button_clicked_with_no_selection_on_from_task_tree_view(self):\n self.assertEqual(PatchedMessageBox.called_function, '')\n\n # now try to copy it\n QTest.mouseClick(self.dialog.copy_push_button, Qt.LeftButton)\n\n self.assertEqual(PatchedMessageBox.called_function, 'critical')\n self.assertEqual(PatchedMessageBox.title, 'Error')\n self.assertEqual(PatchedMessageBox.message,\n 'Please select a task from <b>From Task</b> list')","def test_add(self):\n print('test_add')\n \n self.assertEqual(120, add(100, 20))\n self.assertNotEqual(3, add(10, 10))","def test_no_tests_url(self):\n data = self._get_form_data(test_url='')\n form = self._get_form(data=data)\n self.assertTrue(form.is_valid(), form.errors)"],"string":"[\n \"def test_add_button(self):\\n btn = utils.add_button()\\n self.assertIsInstance(btn, Button)\",\n \"def test_can_not_add_more(self):\\n set_up_one_user(self, 1, 0)\\n login = self.client.login(username='test', password='2HJ1vRV0Z&3iD')\\n response = self.client.get(reverse('index'))\\n self.assertEqual(response.status_code, 200)\\n self.assertContains(response, '<button id=\\\"modalButton\\\" type=\\\"button\\\" class=\\\"btn btn-info\\\" data-toggle=\\\"modal\\\" data-target=\\\"#myModal\\\" disabled=\\\"True\\\">Add new notification</button>')\",\n \"def test_empty_ui(self):\",\n \"def test_delete_custom_button(self):\\n pass\",\n \"def test_create_custom_button(self):\\n pass\",\n \"def test_append_no_init(buttons):\\n app = App()\\n with pytest.raises(KeyError):\\n app[0, 0] += buttons[0]\",\n \"def validate_html_for_add_buttons(self, html, can_add=True):\\r\\n # Verify that there are no add buttons for public blocks\\r\\n add_button_html = '<div class=\\\"add-xblock-component new-component-item adding\\\"></div>'\\r\\n if can_add:\\r\\n self.assertIn(add_button_html, html)\\r\\n else:\\r\\n self.assertNotIn(add_button_html, html)\",\n \"def test_no_delete_button_appears_edit(self):\\n response = self.client.get(reverse('wagtailnews:edit', kwargs={\\n 'pk': self.index.pk, 'newsitem_pk': self.newsitem.pk}))\\n self.assertNotContains(response, self.url)\",\n \"def test_add_button_appears(self):\\n response = self.client.get(reverse('wagtailnews:index', kwargs={\\n 'pk': self.index.pk}))\\n self.assertContains(response, self.url)\",\n \"def test_update_custom_button(self):\\n pass\",\n \"def test_no_edit_button_appears(self):\\n response = self.client.get(reverse('wagtailnews:index', kwargs={\\n 'pk': self.index.pk}))\\n self.assertNotContains(response, self.url)\",\n \"def test_add_empty(self):\\n self.open_url('/group/add')\\n el = self.wd.find_element(By.ID, \\\"name\\\")\\n el.send_keys(\\\"\\\")\\n self.submit_form(\\\"group_form\\\")\\n # Since we're using HTML5 'required' we'll just assert that form did not submit.\\n self.assertEquals('Add Group', self.wd.title)\",\n \"def test_no_tagging_button(self):\\n response = self.client.get(self.get_url(self.trait.pk))\\n context = response.context\\n self.assertNotContains(response, reverse('trait_browser:source:traits:tagging', kwargs={'pk': self.trait.pk}))\\n self.assertFalse(context['show_tag_button'])\",\n \"def test_that_not_logged_in_does_not_shows_edit_button(testapp):\\n html = testapp.get('/journal/1').html\\n assert not html.find('main').a\",\n \"def test_add_form(self):\\n\\n with self.client:\\n result = self.client.get('/users/new')\\n self.assertEqual(result.status_code, 200)\\n self.assertIn(b'<h1 class=\\\"display-5 mt-4\\\">Create a user</h1>', result.data)\",\n \"def test_exist_add_to_basket_btn(browser):\\n\\n browser.get(link)\\n time.sleep(3)\\n assert is_element_exist_by_class_name(browser, \\\"btn-add-to-basket\\\"), \\\"Element doesn't exist\\\"\",\n \"def test_add_one_more_test(self):\\n self.assertTrue(True)\",\n \"def test_add_yet_one_more_test(self):\\n self.assertTrue(True)\",\n \"def click_add_new_record_button(self):\\n self.click_element(self.add_new_record_button_locator, True)\",\n \"def test_item_add_failure():\\n sc.menu = sc.default_menu\\n with pt.raises(Exception):\\n sc.current.add_item('Spam Musubi', 1)\",\n \"def test_unauthorized_add(self):\\n response = self.client.post('/add/', {'url': 'http://example.com', 'key': 'example'})\\n # TODO status 403\",\n \"def test_get_custom_button(self):\\n pass\",\n \"def test_handle_removals_add_only_if_not_in_remove(self):\\n self.assertFalse(False)\",\n \"def _test_display_up_button(self):\\n return (self.product_displays.top_index > 0)\",\n \"def is_create_non_recurring_charges_button_not_present(self):\\n button_not_present = None\\n try:\\n self.wait(5).until(EC.presence_of_element_located(self.add_non_recurring_charge_button_locator))\\n button_not_present = False\\n except:\\n button_not_present = True\\n finally:\\n return button_not_present\",\n \"def has_add_response_button(self):\\r\\n return self._is_element_visible(\\\".add-response-btn\\\")\",\n \"def soft_assert_cannot_make_proposal(info_page, soft_assert):\\n soft_assert.expect(not info_page.is_propose_changes_btn_exists,\\n \\\"'Propose Changes' button should not be displayed.\\\")\",\n \"def add_button(self):\\n if len(self.datamodels) == 0:#In this case the button is deleted completely as there is no reference to it\\n self.addDataDisplays = QtGui.QPushButton(self) #Draw (+) button to add data displays\\n self.addDataDisplays.setText(\\\"+\\\")\\n self.addDataDisplays.clicked.connect(self.add_data_display)\\n self.verticalLayout.removeWidget(self.addDataDisplays)\\n self.verticalLayout.addWidget(self.addDataDisplays)\",\n \"def ready(self):\\n self.btnAdd.setEnabled(True)\",\n \"def test_handle_add_not_admin(self):\\n test_user = User(\\\"userid\\\")\\n test_user.github_username = \\\"githubuser\\\"\\n team = Team(\\\"BRS\\\", \\\"brs\\\", \\\"web\\\")\\n team.github_team_id = \\\"githubid\\\"\\n self.db.retrieve.return_value = test_user\\n self.db.query.return_value = [team]\\n self.assertTupleEqual(self.testcommand.handle(\\\"team add brs ID\\\", user),\\n (self.testcommand.permission_error, 200))\\n self.db.store.assert_not_called()\\n self.gh.add_team_member.assert_not_called()\",\n \"def test_constructor_visible_widgets(plugin_dialog_constructor):\\n assert not plugin_dialog_constructor.direct_entry_edit.isVisible()\\n assert not plugin_dialog_constructor.direct_entry_btn.isVisible()\",\n \"def test_no_add_permission(client):\\n user = user_with_permissions(\\\"polls.view_poll\\\")\\n url = reverse(\\\"admin:polls_poll_changelist\\\")\\n add_url = reverse(\\\"admin:polls_poll_add\\\")\\n\\n client.force_login(user)\\n response = client.get(url)\\n\\n assert add_url not in response.content.decode()\",\n \"def test_multi_add_ignored(self):\\n self.widget.add_data(self.collect[0])\\n self.widget.add_data(self.collect[0])\\n self._test_widget_synced_with_collection()\",\n \"def test_no_new_trait_button_with_no_new_variables(self):\\n self.study_version.i_is_deprecated = True\\n self.study_version.save()\\n new_version = factories.SourceStudyVersionFactory.create(\\n study=self.study, i_version=self.study_version.i_version + 1, i_date_added=timezone.now())\\n for x in self.source_traits:\\n factories.SourceTraitFactory.create(\\n source_dataset__source_study_version=new_version,\\n i_dbgap_variable_accession=x.i_dbgap_variable_accession)\\n response = self.client.get(self.get_url(self.study.pk))\\n context = response.context\\n self.assertIn('show_new_trait_button', context)\\n self.assertFalse(context['show_new_trait_button'])\\n self.assertNotContains(response, reverse('trait_browser:source:studies:pk:traits:new', args=[self.study.pk]))\",\n \"def test_gameAddText(self):\\n # this is tested graphically, it is UI\\n pass\",\n \"def test_add_permission(self):\\r\\n self.assertFalse(self.creator_admin.has_add_permission(self.request))\",\n \"def test_add_remove_from_wishlist(self):\\n url = reverse('add-to-wishlist')\\n data = {\\n 'igdb': self.game.igdb,\\n 'name': self.game.name,\\n 'slug': self.game.slug,\\n 'cover_id': self.game.cover_id,\\n 'backdrop_id': self.game.backdrop_id\\n }\\n\\n add = self.client.post(url, data, format='json')\\n self.assertEqual(True, add.data['value'])\\n\\n remove = self.client.post(url, data, format='json')\\n self.assertEqual(False, remove.data['value'])\",\n \"def add_unit(self):\\n self.q(css=self._bounded_selector(self.ADD_BUTTON_SELECTOR)).click()\",\n \"def test_no_delete_button_appears_index(self):\\n response = self.client.get(reverse('wagtailnews:index', kwargs={\\n 'pk': self.index.pk}))\\n self.assertNotContains(response, self.url)\",\n \"def test_delete_button_appears_edit(self):\\n response = self.client.get(reverse('wagtailnews:edit', kwargs={\\n 'pk': self.index.pk, 'newsitem_pk': self.newsitem.pk}))\\n self.assertContains(response, self.url)\",\n \"def test_remove(self):\\n pass\",\n \"def test_add_tag_invalid(self):\\r\\n\\r\\n with app.test_client() as client: \\r\\n d = {\\\"name\\\": \\\"\\\"}\\r\\n resp = client.post(\\\"/tags/new\\\", data=d, follow_redirects=True)\\r\\n html = resp.get_data(as_text=True)\\r\\n\\r\\n self.assertEqual(resp.status_code, 200)\\r\\n self.assertIn(\\\"Please enter tag name\\\", html)\",\n \"def click_bulk_add_button(self):\\n self.click_element(self.bulk_add_button_locator, True)\",\n \"def soft_assert_cannot_add_comment(soft_assert, obj):\\n info_page = factory.get_cls_webui_service(\\n objects.get_plural(obj.type))().open_info_page_of_obj(obj)\\n info_page.comments_panel.click_add_button()\\n # wait until new tab contains info page url\\n _, new_tab = browsers.get_browser().windows()\\n test_utils.wait_for(lambda: new_tab.url.endswith(url.Widget.INFO))\\n soft_assert.expect(\\n not info_page.comments_panel.comment_input.exists,\\n \\\"There should be no input field in comments panel.\\\")\",\n \"def test_homepage_has_correct_buttons_showing_when_not_logged_in(testapp):\\n html = testapp.get('/').html\\n logout = html.find(class_=\\\"navbar-right\\\").text\\n create = html.find(href=\\\"http://localhost/journal/new-entry\\\")\\n assert logout == '\\\\n Login\\\\n'\\n assert not create\",\n \"def test_filter_not_available_plugins(plugin_dialog_constructor):\\n item = plugin_dialog_constructor.available_list.item(0)\\n widget = plugin_dialog_constructor.available_list.itemWidget(item)\\n if widget:\\n assert not widget.action_button.isEnabled()\\n assert widget.warning_tooltip.isVisible()\\n\\n item = plugin_dialog_constructor.available_list.item(1)\\n widget = plugin_dialog_constructor.available_list.itemWidget(item)\\n assert widget.action_button.isEnabled()\\n assert not widget.warning_tooltip.isVisible()\",\n \"def test_no_tagged_trait_remove_button(self):\\n tagged_traits = TaggedTraitFactory.create_batch(3, trait=self.trait)\\n response = self.client.get(self.get_url(self.trait.pk))\\n context = response.context\\n for (a, b) in context['tagged_traits_with_xs']:\\n self.assertFalse(b)\\n for tt in tagged_traits:\\n self.assertNotContains(response, reverse('tags:tagged-traits:pk:delete', kwargs={'pk': tt.pk}))\",\n \"def test_dashboard_without_recipe(self):\\n self.signup('Bo', 'Theo', 'Bo_theo5@example.com', 'Bo1995', 'Bo1995')\\n self.login('Bo_theo5@example.com', 'Bo1995')\\n self.dashboard()\\n self.category('JunkFood')\\n self.dashboard()\\n rv = self.recipe_dashboard()\\n self.assertIn(b'Please create a category Recipe', rv.data)\",\n \"def test_not_creator_cannot_update_tab(self):\\n\\n logged_user = utils.create_user_and_authenticate(self)\\n self.group.users.add(logged_user)\\n expected_url = reverse('group_view', args=(self.group.pk,))\\n\\n utils.test_cannot_access(self, self.url, expected_url, self.data)\",\n \"def test_user_add_button_redirects_to_register_page(self):\\n self.browser.get(self.warno_url)\\n self.browser.find_element_by_link_text('Users').click()\\n self.browser.find_element_by_id('new-user-redirect-button').click()\\n contents = self.browser.find_element_by_class_name('sub-title')\\n self.assertTrue('Register' in contents.text, \\\"Redirected page's subtitle did not contain 'Register'\\\")\",\n \"def handleActionAdd(self):\\n self.fDialog.show()\",\n \"def test_add_list(buttons):\\n app = App()\\n app[0, 0] = buttons[0]\\n app[0, 0] += buttons[1]\",\n \"def _addClickedSlot(self):\\r\\n\\r\\n index = self._model.add()\\r\\n self.propertiesTableView.selectionModel().setCurrentIndex(index, QtGui.QItemSelectionModel.ClearAndSelect)\\r\\n self.addButton.setEnabled(False) # We have to wait until editing is finished to avoid an invalid model\\r\\n self._editClickedSlot()\",\n \"def test_add_duplicate(self):\\n self.open_url('/group/add')\\n el = self.wd.find_element(By.ID, \\\"name\\\")\\n el.send_keys(\\\"First Group\\\")\\n self.submit_form(\\\"group_form\\\")\\n self.assert_form_error(\\\"Group \\\\\\\"First Group\\\\\\\" already exists.\\\")\",\n \"def test_fail_add_instructor():\\n assert add_instructor('sophia', 'smith', 'student') == False\",\n \"def _clicked_no_button(self):\\n self.yes = False\",\n \"def test_registration_closed_button(self):\\n\\n participation_block = self.event_page.participation_block\\n self.assertFalse(participation_block.is_button_clickable())\",\n \"def test_no_new_dataset_button_with_no_new_datasets(self):\\n self.study_version.i_is_deprecated = True\\n self.study_version.save()\\n new_version = factories.SourceStudyVersionFactory.create(\\n study=self.study, i_version=self.study_version.i_version + 1, i_date_added=timezone.now())\\n for dataset in self.datasets:\\n factories.SourceDatasetFactory.create(\\n source_study_version=new_version, i_accession=dataset.i_accession)\\n response = self.client.get(self.get_url(self.study.pk))\\n context = response.context\\n self.assertIn('show_new_dataset_button', context)\\n self.assertFalse(context['show_new_dataset_button'])\\n self.assertNotContains(response, reverse('trait_browser:source:studies:pk:datasets:new', args=[self.study.pk]))\",\n \"def test_invalidRemove(self):\\n # Try a new tab.\\n self.assertRaises(ValueError,\\n self.tabView.removeTabs, [\\n widgets.Tab(u'id99', u'Title 1', self.contentFactory)])\\n\\n # Try dupe an ID.\\n self.assertRaises(ValueError,\\n self.tabView.removeTabs, [\\n widgets.Tab(u'id1', u'Title 1', self.contentFactory)])\",\n \"def test_edit_button_appears(self):\\n response = self.client.get(reverse('wagtailnews:index', kwargs={\\n 'pk': self.index.pk}))\\n self.assertContains(response, self.url)\",\n \"def can_add_to_toolbar ( self, action ):\\r\\n return True\",\n \"def test_form_missing(self):\\n self.step_data[\\\"basics\\\"] = {\\\"advanced\\\": True}\\n resp = self.post_step(\\\"basics\\\")\\n self.assertWizardFailure(resp, \\\"name\\\")\",\n \"def click_add_computer(self):\\n element = self.driver.find_element_by_id(locators.add_button)\\n element.click()\",\n \"def test_add_success(self):\\n self.open_url('/group/add')\\n name = \\\"GroupsTest.test_add_success\\\"\\n el = self.wd.find_element(By.ID, \\\"name\\\")\\n el.send_keys(name)\\n self.submit_form(\\\"group_form\\\")\\n self.assertEquals('Group List', self.wd.title)\\n self.assert_in_list_table(name)\",\n \"def test_task_add_invalid_form():\\n pytest.fail('Not implemented yet.')\",\n \"def test_ui_menu(test):\\n assert hl.test_help_ui_menu(test) == test\",\n \"def test_no_tagging_button_if_deprecated(self):\\n study_version = self.trait.source_dataset.source_study_version\\n study_version.i_is_deprecated = True\\n study_version.save()\\n response = self.client.get(self.get_url(self.trait.pk))\\n context = response.context\\n self.assertFalse(context['show_tag_button'])\\n self.assertNotContains(response, reverse('trait_browser:source:traits:tagging', kwargs={'pk': self.trait.pk}))\",\n \"def test_no_tagging_button_if_deprecated(self):\\n study_version = self.trait.source_dataset.source_study_version\\n study_version.i_is_deprecated = True\\n study_version.save()\\n response = self.client.get(self.get_url(self.trait.pk))\\n context = response.context\\n self.assertFalse(context['show_tag_button'])\\n self.assertNotContains(response, reverse('trait_browser:source:traits:tagging', kwargs={'pk': self.trait.pk}))\",\n \"def test_remove_form_negative_pk(self):\\n form = RemoveForm({'pk': -1})\\n self.assertFalse(form.is_valid())\",\n \"def test_no_enable_shoppingcart(self):\\r\\n self.add_to_cart()\\r\\n self.request.user = self.user\\r\\n context = user_has_cart_context_processor(self.request)\\r\\n self.assertFalse(context['display_shopping_cart'])\",\n \"def newInsertionNeedleSet(self):\\n #productive #onButton\\n profbox()\\n widget = slicer.modules.NeedleFinderWidget\\n if widget.newInsertionButton:\\n dialog = qt.QDialog()\\n messageBox = qt.QMessageBox.information( dialog, 'Information','You are creating a new set of needles')\\n self.round +=1\\n widget.newInsertionButton.setText('Start a new set of needles - Round ' + str(self.round+1)+'?')\\n widget.deleteNeedleButton.setText('Delete Needles from round ' + str(self.round))\",\n \"def test_add(self):\\n self.assertEqual(3, add(1, 2))\\n self.assertNotEqual(3, add(2, 2))\",\n \"def test_remove_form(self):\\n set_up_one_user(self, 1, 0)\\n login = self.client.login(username='test', password='2HJ1vRV0Z&3iD')\\n s1 = Search.objects.get(terms_en=\\\"test0\\\")\\n self.assertEqual(s1.user, self.user)\\n response = self.client.post(reverse('index'), {'pk': s1.pk})\\n s2 = Search.objects.filter(terms_en=\\\"test1\\\")\\n self.assertEqual(response.status_code, 302)\\n self.assertEqual(len(s2), 0)\",\n \"def test_add_resource(self):\\n self.login_editor() \\n\\n # invalid submission with missing required fields\\n form_data = minimal_form_data()\\n response = self.client.post('/resource/new', form_data )\\n \\n self.assertContains(response,'Por favor verifique os campos obrigatórios')\\n self.assertContains(response,'Você precisa inserir pelo menos um descritor de assunto')\\n self.assertContains(response,'Você precisa selecionar pelo menos uma área temática')\\n\\n # complete form_data with required fields and re-submit form\\n form_data = complete_form_data()\\n\\n # test valid submission\\n # after submit a valid content the view will redirect to /resources and list the objects\\n # follow=True will allow check if the new data is on the list\\n response = self.client.post('/resource/new', form_data, follow=True)\\n\\n self.assertRedirects(response, '/resources')\\n self.assertContains(response, \\\"Recurso de teste\\\")\\n\\n # check if is set cooperative center code of user (editor = BR1.1)\\n self.assertEquals(Resource.objects.all()[0].cooperative_center_code, \\\"BR1.1\\\")\",\n \"def test08_add_equal_students_with_admin(self):\\n actual_save_data_changes_button = \\\\\\n self.students_page.click_edit_students_list_button().\\\\\\n click_add_new_student_button().\\\\\\n enter_student_data(data['first_new_student']). \\\\\\n click_save_data_changes_button().\\\\\\n click_add_new_student_button(). \\\\\\n enter_student_data(data['first_new_student']). \\\\\\n save_data_changes_button\\n actual_save_data_changes_button.click()\\n # save data changes button have not to be enabled for\\n # adding two equal students\\n self.assertTrue(actual_save_data_changes_button.is_enabled())\",\n \"def buttonAdd_Clicked( self, event ):\\n\\t\\tid = DM.FixedIndex(self._combos[self._treasureIndex].GetSelection())\\n\\t\\tif id is not None and id >= DM.FixedIndex(0):\\n\\t\\t\\tqty = self.spinCtrlQuantity.GetValue()\\n\\t\\t\\tprob = self.spinCtrlProbability.GetValue()\\n\\t\\t\\ttreasure = (id, prob, qty)\\n\\t\\t\\tself.Treasure[self._treasureIndex].append(treasure)\\n\\t\\t\\tself.refreshTreasureList()\",\n \"def test_not_creator_cannot_delete_tab(self):\\n\\n logged_user = utils.create_user_and_authenticate(self)\\n self.group.users.add(logged_user)\\n expected_url = reverse('group_view', args=(self.group.pk,))\\n\\n utils.test_cannot_access(self, self.url, expected_url)\\n self.assertEqual(len(Tab.objects.all()), 1)\",\n \"def test_remove_item_failure():\\n sc.menu = sc.default_menu\\n sc.current.add_item('Steak', 1)\\n with pt.raises(Exception):\\n sc.current.remove_item('Faygo', 1)\",\n \"def add_button_clicked(self, obj):\\n note = Note()\\n if self.notetype :\\n note.set_type(self.notetype)\\n try:\\n from .. import EditNote\\n EditNote(self.dbstate, self.uistate, self.track, \\n note, self.add_callback,\\n self.callertitle, extratype = [self.notetype])\\n except WindowActiveError:\\n pass\",\n \"def test_add(self):\\n self.assertEqual(3, foo.add(1, 2))\\n self.assertNotEqual(3, foo.add(2, 2))\",\n \"def okay_button1(self, i):\\n if i.text() == \\\"OK\\\":\\n print(\\\"Entry added\\\")\",\n \"def test_add_question_invalid_text(self):\\r\\n print(\\\"Add question without Q text\\\")\\r\\n q_text = \\\"\\\"\\r\\n q_type = 1\\r\\n q_required = 1\\r\\n q_responses = [\\\"Yes\\\", \\\"No\\\"]\\r\\n\\r\\n prev_noQuestions = len(Question.query.all())\\r\\n self.assertEqual(self.system.add_question(q_text, q_type, q_required, q_responses), 0)\\r\\n curr_noQuestions = len(Question.query.all())\\r\\n self.assertEqual(prev_noQuestions, curr_noQuestions)\",\n \"def test_adding_invalid_file(self):\\n (added, status) = self.app.add_album(__file__)\\n self.assertEqual(added, False)\\n self.assertIn('Unable to load', status)\\n self.assertEqual(self.get_album_count(), 0)\",\n \"def click_remove_dispute_button_without_selection(self):\\n remove_dispute_button_element = self.wait().until(EC.element_to_be_clickable(self.remove_dispute_button_locator), 'remove dispute button locator not found before specified time out')\\n remove_dispute_button_element.click()\\n self.wait_for_ajax_spinner_load()\\n try:\\n self.wait().until(EC.presence_of_element_located(self.error_message_locator), 'error message locator not found before specified time out')\\n self.wait_for_ajax_spinner_load()\\n ok_button_element = self.wait().until(EC.element_to_be_clickable(self.ok_button_locator), 'ok button locator not found before specified time out')\\n ok_button_element.click()\\n except:\\n raise\\n self.wait_for_ajax_spinner_load()\",\n \"def test_no_tagged_trait_remove_button_for_other_study(self):\\n other_trait = factories.SourceTraitFactory.create()\\n tagged_trait = TaggedTrait.objects.create(tag=self.tag, trait=other_trait, creator=self.user)\\n response = self.client.get(self.get_url(other_trait.pk))\\n context = response.context\\n for (a, b) in context['tagged_traits_with_xs']:\\n self.assertFalse(b)\\n self.assertNotContains(response, reverse('tags:tagged-traits:pk:delete', kwargs={'pk': self.tag.pk}))\",\n \"def test_public_unit_page_html(self):\\r\\n html = self.get_page_html(self.vertical)\\r\\n self.validate_html_for_add_buttons(html)\",\n \"def DoAdd(self,event):\\r\\n newItem = self.data.add()\\r\\n if newItem and newItem not in self.items:\\r\\n self.items = self.data.getItemList()\\r\\n index = self.items.index(newItem)\\r\\n self.list.InsertItems([newItem],index)\",\n \"def test_add_without_name(self):\\n good = GoodInfo(\\\"\\\", \\\"30\\\", \\\"40\\\", \\\"2020-12-30\\\", \\n \\\"14\\\", \\\"2020-12-30\\\")\\n check_product_data = self.database.add(good)\\n\\n self.assertFalse(check_product_data)\",\n \"def test_add_article_via_details(self):\\n log.debug( 'starting test_add_article_via_details()' )\\n driver = self.driver\\n\\n # confirm the 'details search' view is not shown\\n details_element = driver.find_element_by_css_selector( 'div#articleDetails' )\\n self.assertEqual(\\n False,\\n details_element.is_displayed() )\\n\\n # click option 3: 'Enter article details'\\n driver.find_element_by_id(\\\"ui-accordion-artcit-header-2\\\").click()\\n\\n # confirm the 'details search' view is shown\\n time.sleep( 1 )\\n details_element = driver.find_element_by_css_selector( 'div#articleDetails' )\\n self.assertEqual(\\n True,\\n details_element.is_displayed() )\\n\\n # confirm the button is clickable\\n button_element = driver.find_element_by_id(\\\"details_submit_button\\\")\\n self.assertEqual(\\n '',\\n button_element.get_attribute( 'class' ) )\\n\\n # confirm no button-triggered tooltips\\n button_element = driver.find_element_by_id(\\\"details_submit_button\\\")\\n self.assertEqual(\\n None,\\n button_element.get_attribute('aria-describedby') )\\n # print( 'aria-describedby before, %s' % button_element.get_attribute('aria-describedby') )\\n\\n # hover over the submit button\\n button_element = driver.find_element_by_id(\\\"details_submit_button\\\")\\n hover = ActionChains(driver).move_to_element(button_element)\\n hover.perform()\\n\\n # confirm the button-triggered tooltips\\n # button_element = driver.find_element_by_id(\\\"details_submit_button\\\")\\n self.assertEqual(\\n 'ui-tooltip-0',\\n button_element.get_attribute('aria-describedby') )\\n # print( 'aria-describedby after hover, %s' % button_element.get_attribute('aria-describedby') )\\n\\n # confirm the button is disabled\\n self.assertEqual(\\n 'disabled',\\n button_element.get_attribute( 'class' ) )\\n\\n # try to click submit anyway, without filling in required fields\\n driver.find_element_by_id( 'details_submit_button' ).click()\\n\\n # confirm we're still on the same page\\n self.assertTrue( 'reserves/cr/requestarticle.php' in self.driver.current_url )\\n\\n # confirm the 'details search' view is still shown\\n details_element = driver.find_element_by_css_selector( 'div#articleDetails' )\\n self.assertEqual(\\n True,\\n details_element.is_displayed() )\\n\\n # enter title\\n driver.find_element_by_name(\\\"atitle\\\").clear()\\n driver.find_element_by_name(\\\"atitle\\\").send_keys( self.test_article_name )\\n\\n # enter journal title\\n driver.find_element_by_name(\\\"title\\\").clear()\\n driver.find_element_by_name(\\\"title\\\").send_keys( self.journal_title )\\n\\n # enter date\\n driver.find_element_by_css_selector( 'input[class=\\\"req datep inp_date hasDatepicker\\\"]' ).clear() # can't use `id` because it's dynamic\\n driver.find_element_by_css_selector( 'input[class=\\\"req datep inp_date hasDatepicker\\\"]' ).send_keys( self.article_date )\\n driver.find_element_by_css_selector( 'input[class=\\\"req datep inp_date hasDatepicker\\\"]' ).send_keys( Keys.TAB ) # submit button not active until leaving required date field.\\n\\n # confirm the button is enabled\\n time.sleep( 2 )\\n self.assertEqual(\\n '',\\n button_element.get_attribute( 'class' ) )\\n\\n # click submit\\n driver.find_element_by_id( 'details_submit_button' ).click()\\n\\n # confirm user sees the Copyright info\\n self.assertEqual(\\n True,\\n 'Copyright' in self.driver.find_element_by_css_selector( 'div#maincontent > h3' ).text\\n )\\n\\n # confirm entered title is shown on copyright page\\n self.assertEqual(\\n True,\\n self.test_article_name in self.driver.find_element_by_css_selector( 'div#maincontent > blockquote' ).text\\n )\\n\\n # click the 'The work is a <b>U.S. Government document</b> not protected by copyright' link\\n driver.find_element_by_css_selector( 'button[value=\\\"gov doc\\\"]' ).click()\\n\\n # confirm we've gotten to the 'Place PDFs on E-Reserves' screen\\n self.assertEqual(\\n True,\\n 'Place PDFs on E-Reserves' in self.driver.find_element_by_css_selector( 'div#maincontent > h3' ).text\\n )\\n\\n # confirm the 'pdf upload' section is visible\\n pdf_upload_element = driver.find_element_by_css_selector( 'div#pdfupload' )\\n self.assertEqual(\\n True,\\n pdf_upload_element.is_displayed() )\\n\\n # click the 'I will email or upload a PDF at a later time' option\\n driver.find_element_by_name(\\\"ereserve\\\").click()\\n\\n # assert we're back to the course page via url\\n self.assertTrue( 'reserves/cr/class/?classid=5734' in self.driver.current_url )\\n\\n # confirm the confirmation block exists\\n self.assertEqual(\\n True,\\n 'New article' in self.driver.find_element_by_css_selector( 'p[class=\\\"notice success\\\"]' ).text\\n )\\n\\n # click the 'View' link for 'Online Readings'\\n driver.find_element_by_xpath(\\\"(//a[contains(text(),'View')])[2]\\\").click()\\n\\n # get the article html\\n article_html = driver.find_element_by_css_selector( 'table[data-restype=\\\"article\\\"]' ).text\\n\\n # test that the added article is listed\\n self.assertEqual(\\n True,\\n self.test_article_name in article_html\\n )\\n\\n # determine delete link\\n article_table_element = driver.find_element_by_css_selector( 'div#articles > table > tbody' )\\n table_rows = article_table_element.find_elements_by_tag_name( 'tr' )\\n target_row_counter = 1 # because xpath call is 1-indexed, not zero-indexed\\n for row in table_rows:\\n if self.test_article_name in row.text:\\n break\\n else:\\n target_row_counter += 1\\n # print( '- TARGET ROW COUNTER, %s' % target_row_counter )\\n\\n # click the delete link\\n driver.find_element_by_xpath( \\\"(//a[contains(text(),'Delete')])[%s]\\\" % target_row_counter ).click()\\n\\n # test that the added article is no longer listed\\n time.sleep( 2 ) # needed; an immediate check will still show the text of the deleted citation\\n article_html = driver.find_element_by_css_selector( 'table[data-restype=\\\"article\\\"]' ).text\\n self.assertTrue( self.test_article_name not in article_html )\",\n \"def set_button_to_create_without_constraints(self):\\n self.configuration.disable_validations = True\\n self.create_tool_button.removeAction(\\n self.set_button_to_create_without_constraints_action\\n )\\n self.create_tool_button.removeAction(self.edit_command_action)\\n self.create_tool_button.addAction(self.set_button_to_create_action)\\n self.create_tool_button.addAction(self.edit_command_action)\\n self.create_tool_button.setText(self.create_without_constraints_text)\",\n \"def test_no_unpublish_button_appears(self):\\n response = self.client.get(reverse('wagtailnews:index', kwargs={\\n 'pk': self.index.pk}))\\n self.assertNotContains(response, self.url)\",\n \"def click_add():\\n # TODO: 1. In frontend_script.py, create function \\\"create_window()\\\" that takes a Toplevel() as a parameter.\\n # TODO: 2. In this file, implement the code below\\n # new_window = Toplevel(root)\\n # frontend_script.create_window(new_window)\",\n \"def newInsertionNeedleSet(self):\\r\\n # productive #onButton\\r\\n profbox()\\r\\n widget = slicer.modules.NeedleFinderWidget\\r\\n if widget.newInsertionButton:\\r\\n dialog = qt.QDialog()\\r\\n messageBox = qt.QMessageBox.information(dialog, 'Information', 'You are creating a new set of needles')\\r\\n self.round += 1\\r\\n widget.newInsertionButton.setText('Start a new set of needles - Round ' + str(self.round + 1) + '?')\\r\\n widget.deleteNeedleButton.setText('Delete Needles from round ' + str(self.round))\",\n \"def test06_add_student_with_empty_fields(self):\\n student_data = self.students_page.\\\\\\n click_edit_students_list_button(). \\\\\\n click_add_new_student_button()\\n student_data.save_data_changes_button.click()\\n actual_warnings = \\\\\\n student_data.warnings_text_for_adding_student_with_empty_fields()\\n self.assertEqual(actual_warnings, data['expected_warnings'])\",\n \"def test_edit_tag_invalid(self):\\r\\n\\r\\n with app.test_client() as client: \\r\\n d = {\\\"name\\\": \\\"\\\"}\\r\\n resp = client.post(f\\\"/tags/{self.tag.id}/edit\\\", data=d, follow_redirects=True)\\r\\n html = resp.get_data(as_text=True)\\r\\n\\r\\n self.assertEqual(resp.status_code, 200)\\r\\n self.assertIn(\\\"Please enter tag name\\\", html)\",\n \"def test_show_add_tag(self):\\r\\n\\r\\n with app.test_client() as client:\\r\\n resp = client.get(\\\"/tags/new\\\") \\r\\n html = resp.get_data(as_text=True) \\r\\n\\r\\n self.assertEqual(resp.status_code, 200)\\r\\n self.assertIn(\\\"Create Tag\\\", html)\",\n \"def test_append_to_partial_superset(buttons):\\n app = App(columns=2)\\n app[0, 0] = buttons[0]\\n with pytest.raises(Exception):\\n app[0] += buttons[1]\",\n \"def test_copy_button_clicked_with_no_selection_on_from_task_tree_view(self):\\n self.assertEqual(PatchedMessageBox.called_function, '')\\n\\n # now try to copy it\\n QTest.mouseClick(self.dialog.copy_push_button, Qt.LeftButton)\\n\\n self.assertEqual(PatchedMessageBox.called_function, 'critical')\\n self.assertEqual(PatchedMessageBox.title, 'Error')\\n self.assertEqual(PatchedMessageBox.message,\\n 'Please select a task from <b>From Task</b> list')\",\n \"def test_add(self):\\n print('test_add')\\n \\n self.assertEqual(120, add(100, 20))\\n self.assertNotEqual(3, add(10, 10))\",\n \"def test_no_tests_url(self):\\n data = self._get_form_data(test_url='')\\n form = self._get_form(data=data)\\n self.assertTrue(form.is_valid(), form.errors)\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.7187858","0.7186731","0.71256816","0.7048631","0.68383086","0.6767297","0.65683776","0.65635896","0.65399176","0.65163064","0.6511349","0.65104187","0.64470893","0.6418005","0.63748497","0.62681","0.62287384","0.6181235","0.6170643","0.61644083","0.61627877","0.616266","0.61624396","0.6158187","0.6157","0.6129478","0.6086737","0.60831934","0.60628253","0.6060977","0.60483956","0.60311365","0.6021113","0.601967","0.5998404","0.5994321","0.59815353","0.59576887","0.5936813","0.5928359","0.59079355","0.59034204","0.5899474","0.58834565","0.585513","0.585434","0.5847478","0.5837499","0.58270866","0.58188295","0.5803224","0.57984453","0.5790902","0.57878494","0.57789415","0.57649726","0.5748114","0.5746327","0.57410616","0.5740454","0.5731236","0.5718267","0.57015455","0.5689096","0.56747574","0.5673714","0.566546","0.566546","0.5661991","0.5656553","0.56514645","0.563752","0.563687","0.56360936","0.56316984","0.5629447","0.56138796","0.5609273","0.5606836","0.5601582","0.55991375","0.5598234","0.55958104","0.55898696","0.55859345","0.55801535","0.55712754","0.5568127","0.5560899","0.55602103","0.5550202","0.55483526","0.55479044","0.55444694","0.5542597","0.5541959","0.5528296","0.5525764","0.5524738","0.5521986"],"string":"[\n \"0.7187858\",\n \"0.7186731\",\n \"0.71256816\",\n \"0.7048631\",\n \"0.68383086\",\n \"0.6767297\",\n \"0.65683776\",\n \"0.65635896\",\n \"0.65399176\",\n \"0.65163064\",\n \"0.6511349\",\n \"0.65104187\",\n \"0.64470893\",\n \"0.6418005\",\n \"0.63748497\",\n \"0.62681\",\n \"0.62287384\",\n \"0.6181235\",\n \"0.6170643\",\n \"0.61644083\",\n \"0.61627877\",\n \"0.616266\",\n \"0.61624396\",\n \"0.6158187\",\n \"0.6157\",\n \"0.6129478\",\n \"0.6086737\",\n \"0.60831934\",\n \"0.60628253\",\n \"0.6060977\",\n \"0.60483956\",\n \"0.60311365\",\n \"0.6021113\",\n \"0.601967\",\n \"0.5998404\",\n \"0.5994321\",\n \"0.59815353\",\n \"0.59576887\",\n \"0.5936813\",\n \"0.5928359\",\n \"0.59079355\",\n \"0.59034204\",\n \"0.5899474\",\n \"0.58834565\",\n \"0.585513\",\n \"0.585434\",\n \"0.5847478\",\n \"0.5837499\",\n \"0.58270866\",\n \"0.58188295\",\n \"0.5803224\",\n \"0.57984453\",\n \"0.5790902\",\n \"0.57878494\",\n \"0.57789415\",\n \"0.57649726\",\n \"0.5748114\",\n \"0.5746327\",\n \"0.57410616\",\n \"0.5740454\",\n \"0.5731236\",\n \"0.5718267\",\n \"0.57015455\",\n \"0.5689096\",\n \"0.56747574\",\n \"0.5673714\",\n \"0.566546\",\n \"0.566546\",\n \"0.5661991\",\n \"0.5656553\",\n \"0.56514645\",\n \"0.563752\",\n \"0.563687\",\n \"0.56360936\",\n \"0.56316984\",\n \"0.5629447\",\n \"0.56138796\",\n \"0.5609273\",\n \"0.5606836\",\n \"0.5601582\",\n \"0.55991375\",\n \"0.5598234\",\n \"0.55958104\",\n \"0.55898696\",\n \"0.55859345\",\n \"0.55801535\",\n \"0.55712754\",\n \"0.5568127\",\n \"0.5560899\",\n \"0.55602103\",\n \"0.5550202\",\n \"0.55483526\",\n \"0.55479044\",\n \"0.55444694\",\n \"0.5542597\",\n \"0.5541959\",\n \"0.5528296\",\n \"0.5525764\",\n \"0.5524738\",\n \"0.5521986\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.7127412"},"document_rank":{"kind":"string","value":"2"}}},{"rowIdx":86771,"cells":{"query":{"kind":"string","value":"Test users can create NewsItems"},"document":{"kind":"string","value":"def test_has_permission(self):\n self.assertStatusCode(self.url, 200)"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def test_news_create(self):\n news = News.save_news('www.testing.com', 'testing', 'testing is painful but important', datetime.utcnow(), 'www.sometestimg.url' )\n news_created = News.query.get(news.url)\n\n all_news = News.query.all()\n\n self.assertEqual(len(all_news), 1)\n self.assertEqual(news, news_created)","def test_create_reusableitem_authenticated(self):\n\n self.client.force_authenticate(user=self.user_1)\n\n toptenitems = self.toptenlist_1.topTenItem.all()\n toptenitem_1_id = toptenitems[0].id\n\n response = create_reusable_item_1(self, toptenitem_1_id, **reusableitem_1_data)\n\n newreusableitem = self.reusableitem_1\n\n self.assertEqual(response.status_code, status.HTTP_200_OK)\n self.assertEqual(ReusableItem.objects.count(), 1)\n\n # the new Reusable Item has the correct properties\n self.assertEqual(newreusableitem.name, reusableitem_1_data['name'])\n self.assertEqual(newreusableitem.definition, reusableitem_1_data['reusableItemDefinition'])\n self.assertEqual(newreusableitem.link, reusableitem_1_data['reusableItemLink'])\n self.assertEqual(newreusableitem.is_public, False)","def create_item(self, user: User, **kwargs) -> None:","def test_publish(self):\n spiderman = User.objects.create(username=\"spiderman\", password=\"mary_jane\")\n BlogEntry.objects.create(title=\"Spam Blog\", text=\"This is BlogSpam\", created_by=spiderman)","def test_create_methods(self):\n self.assertFalse('articles' in self.site.__dict__)\n self.site.articles()\n self.assertTrue('articles' in self.site.__dict__)","def test_post_creation_regular_user(self):\n url = reverse('post-list')\n user_url = reverse('user-detail', kwargs={'pk': self.superuser.id})\n title = 'Test Title'\n body = 'Test Body'\n self.client.force_authenticate(user=self.user)\n response = self.client.post(url, {'title': title, 'body': body, 'user': user_url}, format='json')\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)","def test_create_post(self):\n self.test_category = Category.objects.create(name='django')\n self.testuser1 = User.objects.create_superuser(\n username='test_user1', password='123456789')\n # self.testuser1.is_staff = True\n\n self.client.login(username=self.testuser1.username,\n password='123456789')\n\n data = {\"title\": \"new\", \"author\": 1,\n \"excerpt\": \"new\", \"content\": \"new\"}\n url = reverse('blog_api:listcreate')\n response = self.client.post(url, data, format='json')\n self.assertEqual(response.status_code, status.HTTP_201_CREATED)","def test_post_create_post_as_user_logged_in(self):\n\n login = self.client.login(username='testuser_normal', password='password12345')\n\n if login:\n\n new_title = \"this is a new title for create\"\n new_content = \"this is new content for create by nicholas herriot\"\n new_published_date = \"2017-01-01\"\n data = {'title': new_title, 'content': new_content, 'publish': new_published_date}\n url = reverse('blogs:create')\n response = self.client.post(url, data)\n\n # There should not be a new blog create with this title, so check that it does not exist\n with self.assertRaises(Post.DoesNotExist):\n new_blog = Post.objects.get(title=new_title)\n self.assertEqual(response.status_code, 403)\n self.client.logout()\n else:\n # TODO Make this dynamic rather than hard coded text string\n self.fail('Login Failed for testuser_staff')","def test_create(self):\n urls = [reverse('api:user-list')]\n data = {\n \"username\": \"newuser\",\n \"email\": \"newuser@example.com\",\n \"password\": \"password\"\n }\n access = {\n \"forbidden\": [self.anonymous_client, self.readonly_client, self.custodian_1_client],\n \"allowed\": [self.admin_client]\n }\n for client in access['forbidden']:\n for url in urls:\n self.assertIn(\n client.post(url, data, format='json').status_code,\n [status.HTTP_401_UNAUTHORIZED, status.HTTP_403_FORBIDDEN]\n )\n\n for client in access['allowed']:\n for url in urls:\n self.assertEqual(\n client.post(url, data, format='json').status_code,\n status.HTTP_201_CREATED\n )","def test_alert_create_for_site_members(self):\n pass","def test_post_creation_admin(self):\n url = reverse('post-list')\n user_url = reverse('user-detail', kwargs={'pk': self.superuser.id})\n title = 'Test Title'\n body = 'Test Body'\n self.client.force_authenticate(user=self.superuser)\n response = self.client.post(url, {'title': title, 'body': body, 'user': user_url}, format='json')\n self.assertEqual(response.status_code, status.HTTP_201_CREATED)\n self.assertIn(title, response.content)\n self.assertIn(body, response.content)\n self.assertIn(user_url, response.content)","def test_create_reusableitem_not_authenticated(self):\n\n self.client.logout()\n\n toptenitems = self.toptenlist_1.topTenItem.all()\n toptenitem_1_id = toptenitems[0].id\n\n response = create_reusable_item_1(self, toptenitem_1_id, **reusableitem_1_data)\n\n # the request should fail\n self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)","def test_create_activity(self):\n pass","def setUp(self):\n self.url = reverse(\"learning_logs:topics\")\n self.client = Client()\n self.user = User.objects.create_user(\n username=\"test\", email=\"test@email.com\", password=\"test\"\n )\n Topic.objects.create(user=self.user, text=\"Test1\", public=True)\n Topic.objects.create(user=self.user, text=\"Test2\", public=True)\n Topic.objects.create(user=self.user, text=\"Test3\", public=True)\n Topic.objects.create(user=self.user, text=\"Test4\", public=False)","def test_feed_item_creation(self):\n title = 'title'\n link = 'link'\n description = 'description'\n item = FeedItem(title, link, description)\n assert isinstance(item, FeedItem)\n assert item.title == title\n assert item.link == link\n assert item.description == description","def test_create(self):\n pass","def test_create_item(self):\n item = self.item\n\n self.assertTrue(isinstance(item, Item))\n self.assertEqual(item.name, \"Test Item\")","def test_post_create_post_as_admin_user(self):\n login = self.client.login(username='testuser_admin', password='password12345')\n\n if login:\n\n new_title = \"this is a new title for create\"\n new_content = \"this is new content for create by nicholas herriot\"\n new_published_date = datetime.date(2018, 3, 3)\n data = {'title': new_title, 'content': new_content, 'publish': new_published_date}\n\n url = reverse('blogs:create')\n response = self.client.post(url, data)\n\n # There should now be a new blog create with this title and content, so check that it does exist\n new_blog = Post.objects.get(title='this is a new title for create')\n\n self.assertEqual(new_blog.title, new_title)\n self.assertEqual(new_blog.content, new_content)\n # TODO Get the publish date check working correclty\n # self.assertEqual(new_blog.publish, new_published_date)\n\n self.assertEqual(response.status_code, 302)\n self.client.logout()\n else:\n # TODO Make this dynamic rather than hard coded text string\n self.fail('Login Failed for testuser_staff')","def test_post_create_post_as_anonymous_user(self):\n\n url = reverse('blogs:create')\n new_title = \"this is a new title for create\"\n new_content = \"this is new content for create by nicholas herriot\"\n new_published_date = \"2017-01-01\"\n data = {'title': new_title, 'content': new_content, 'publish': new_published_date}\n response = self.client.post(url, data)\n\n # There should not be a new blog create with this title, so check that it does not exist\n with self.assertRaises(Post.DoesNotExist):\n new_blog = Post.objects.get(title=new_title)\n self.assertEqual(response.status_code, 403)","def test_create_not_admin(self):\n self.assertEqual(Product.objects.count(), 2)\n payload = {\n 'name': 'New product',\n 'category': self.category_1.id,\n 'sku': '11111111',\n 'description': 'New product description',\n 'price': 39.99\n }\n\n token = Token.objects.create(user=self.user_1)\n headers = {\n 'HTTP_AUTHORIZATION': 'Token ' + str(token)\n }\n expected = {'detail': 'You do not have permission to perform this action.'}\n response = self.client.post(\n '/api/products/', data=payload,\n content_type='application/json', **headers)\n self.assertEqual(response.status_code, 403)\n self.assertEqual(response.json(), expected)\n self.assertEqual(Product.objects.count(), 2)","def test_create_reusableitem_not_toptenlist_owner(self):\n\n self.client.logout()\n\n self.client.force_authenticate(user=self.user_2)\n\n toptenitems = self.toptenlist_1.topTenItem.all()\n toptenitem_1_id = toptenitems[0].id\n\n response = create_reusable_item_1(self, toptenitem_1_id, **reusableitem_1_data)\n\n # the user cannot see the Top Ten Item because they did not create it\n self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)","def setUp(self):\n subj = create_subject()\n subj.save()\n post = Post.create(subject=subj, title=\"123ABC\", body=\"123ABC Body\")\n post.save()\n comment = Comment.create(post=post, body=\"987XYZ\")\n comment.save()\n # Create and login user\n self.user = User.objects.create_user(username='testuser', password='12345')\n login = self.client.login(username='testuser', password='12345')","def test_chooser_has_perms_no_news(self):\n response = self.client.get(reverse('wagtailnews:choose'))\n self.assertEqual(response.status_code, 200)","def test_creating_shopping_item(create_shopping_item, create_user):\n owner = create_user\n shopping_item = create_shopping_item\n assert shopping_item.owner == owner","def test_createUser_single(self):\n #TODO: this and other tests","def test_post_creation_unauthorized(self):\n url = reverse('post-list')\n user_url = reverse('user-detail', kwargs={'pk': self.superuser.id})\n title = 'Test Title'\n body = 'Test Body'\n response = self.client.post(url, {'title': title, 'body': body, 'user': user_url}, format='json')\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)","def test_items_create_no_user(patch_mongo):\n item = {\n \"content\": \"lorem ipsum\",\n \"priority\": \"high\",\n \"status\": \"backlog\",\n \"users\": [\"John\"],\n }\n\n response = client.post(\"/item\", json=item)\n assert response.status_code == status.HTTP_400_BAD_REQUEST","def test_user_create_list(self):\n c = Client()\n c.login(username= 'testuser', password = 'password')\n c.post('/inventory/list/add/', {'name': 'testname'})\n\n self.assertEqual(List.objects.get(name = 'testname'), List.objects.get(users__username = 'testuser'))","def test_users_post(self):\n pass","def test_users_post(self):\n pass","def test_get_create_post_as_staff_user_and_check_main_title_description(self):\n\n login = self.client.login(username='testuser_staff', password='password12345')\n\n if login:\n url = reverse('blogs:create')\n response = self.client.get(url)\n\n self.assertEqual(response.status_code, 200)\n self.assertTemplateUsed(response, 'create.html')\n self.assertIn(self.main_title, str(response.content))\n self.assertIn(self.description1, str(response.content))\n self.assertIn(self.description2, str(response.content))\n self.client.logout()\n else:\n # TODO Make this dynamic rather than hard coded text string\n self.fail('Login Failed for testuser_staff')","def test_create(self, client):\n count = get_user_model().objects.count()\n data = factory.build(dict, FACTORY_CLASS=UserFactory)\n url = reverse('users:create')\n response = client.post(url, data)\n assert response.status_code == 302\n\n user = get_user_model().objects.last()\n assert user.username == data['username']\n assert user.birthday == datetime.datetime.strptime(data['birthday'], '%Y-%m-%d').date()\n assert get_user_model().objects.count() == count + 1","def test_api_video_create_staff_or_user(self):\n for user in [factories.UserFactory(), factories.UserFactory(is_staff=True)]:\n self.client.login(username=user.username, password=\"test\")\n response = self.client.post(\"/api/videos/\")\n self.assertEqual(response.status_code, 401)\n self.assertFalse(models.Video.objects.exists())","def test_post_create_post_as_staff_user(self):\n login = self.client.login(username='testuser_staff', password='password12345')\n\n if login:\n\n new_title = \"this is a new title for create\"\n new_content = \"this is new content for create by nicholas herriot\"\n new_published_date = datetime.date(2018, 3, 3)\n data = {'title': new_title, 'content': new_content, 'publish': new_published_date}\n\n url = reverse('blogs:create')\n response = self.client.post(url, data)\n\n # There should now be a new blog create with this title and content, so check that it does exist\n new_blog = Post.objects.get(title='this is a new title for create')\n # print(\"*** New blog created as a slug of: {}\".format(new_blog.slug))\n # print(\"*** New blog created as a titel of: {}\".format(new_blog.title))\n # print(\"*** New blog created as content of: {}\".format(new_blog.content))\n # print(\"*** New blog created as a published date of: {}\".format(new_blog.publish))\n\n self.assertEqual(new_blog.title, new_title)\n self.assertEqual(new_blog.content, new_content)\n # TODO Get the publish date check working correctly\n # self.assertEqual(new_blog.publish, new_published_date)\n\n self.assertEqual(response.status_code, 302)\n self.client.logout()\n else:\n # TODO Make this dynamic rather than hard coded text string\n self.fail('Login Failed for testuser_staff')","def test_create(self):\n self.client.force_authenticate(user=self.admin)\n\n data = {\n 'retreat': reverse(\n 'retreat:retreat-detail', args=[self.retreat.id]\n ),\n 'user': reverse('user-detail', args=[self.user2.id]),\n }\n\n response = self.client.post(\n reverse(\n 'retreat:waitqueuenotification-list',\n ),\n data,\n format='json',\n )\n\n self.assertEqual(\n response.status_code,\n status.HTTP_405_METHOD_NOT_ALLOWED\n )","def test_feed_creation(self):\n items = []\n feed = Feed(items)\n assert isinstance(feed, Feed)\n assert items == feed.items","def test_add_maually(self):\n self.site.articles = 'foo'\n self.assertEqual(self.site.articles(), 'foo')","def test_add_item_using_post(self):\n pass","def test_post_users_post(self):\n pass","def test_items_create_empty_user(patch_mongo):\n item = {\n \"content\": \"lorem ipsum\",\n \"priority\": \"high\",\n \"status\": \"backlog\",\n \"users\": [],\n }\n\n response = client.post(\"/item\", json=item)\n assert response.status_code == status.HTTP_400_BAD_REQUEST","def setUp(self):\n self.new_article = Article(\"abc-news\", \"ABC News\", \"Your trusted source for breaking news, analysis, exclusive interviews, headlines, and videos at ABCNews.com.\",\"https://abcnews.go.com\", \"general\", \"en\", \"us\")","def test_create_with_permissions(self):\n permissions = Permission.objects.filter(name__in=('Can add course mode', 'Can change course mode'))\n for permission in permissions:\n self.user.user_permissions.add(permission)\n\n self.assert_can_create_course()","def test_post_creation_success(self):\n url = reverse('post-list', args=[self.topic1.url_name])\n payload = {\n 'author': self.user1.id,\n 'title': 'Creating a post',\n 'content': 'Rich content 4',\n }\n self.client.credentials(\n HTTP_AUTHORIZATION = 'Token ' + self.user1.auth_token.key\n )\n response = self.client.post(url, payload)\n\n self.assertEqual(response.status_code, status.HTTP_201_CREATED)\n new_post = Post.objects.filter(\n author=self.user1,\n title=payload.get('title'),\n content=payload.get('content'),\n topic=self.topic1\n )\n self.assertTrue(new_post.exists())","def setUp(self):\n\n self.user_data = {\n \"username\": \"test_user\",\n \"email\": \"test_user@mailinator.com\",\n \"password\": \"P@ssW0rd!\"\n }\n\n self.user = User.objects.create_user(**self.user_data)\n self.article_data = {\n 'title': 'the quick brown fox',\n 'body': 'this article is nice',\n 'description': 'this is a description',\n 'author': self.user\n }\n self.article = Articles.objects.create(**self.article_data)\n\n self.bookmark_data = {\n \"profile\": self.user.profile,\n \"article\": self.article\n }","def test_user_creation(self):\r\n \r\n self.assertIsInstance(self.user, User)","def test_create_reusableitem_not_verified(self):\n\n email_address = EmailAddress.objects.get(user_id=self.user_1.id)\n email_address.verified = False\n email_address.save()\n\n self.client.force_authenticate(user=self.user_1)\n\n toptenitems = self.toptenlist_1.topTenItem.all()\n toptenitem_1_id = toptenitems[0].id\n\n response = create_reusable_item_1(self, toptenitem_1_id, **reusableitem_1_data)\n\n # the user can see the Top Ten Item because they created it\n # but cannot change it because their email address is not verified\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)","def test_user_creation(self):\n self.assertTrue(User.objects.exists())","def test_registered_user_can_create_project(self):\n user = self._create_user({\"username\":\"user2\",\"email\":\"ab@cd.com\"})\n testproject = self._create_comicsite_in_admin(user,\"user1project\") \n testpage1 = create_page_in_admin(testproject,\"testpage1\")\n testpage2 = create_page_in_admin(testproject,\"testpage2\")\n \n self._test_page_can_be_viewed(user,testpage1)\n self._test_page_can_be_viewed(self.root,testpage1)","def test_bulk_create(self):\n urls = [reverse('api:user-list')]\n data = [\n {\n \"username\": \"newuser1\",\n \"email\": \"newuser1@example.com\",\n \"password\": \"password\"\n },\n {\n \"username\": \"newuser2\",\n \"email\": \"newuser2@example.com\",\n \"password\": \"password\"\n },\n ]\n access = {\n \"forbidden\": [self.admin_client, self.anonymous_client, self.readonly_client, self.custodian_1_client],\n \"allowed\": []\n }\n for client in access['forbidden']:\n for url in urls:\n self.assertIn(\n client.post(url, data, format='json').status_code,\n [status.HTTP_400_BAD_REQUEST, status.HTTP_401_UNAUTHORIZED, status.HTTP_403_FORBIDDEN]\n )\n\n for client in access['allowed']:\n for url in urls:\n self.assertEqual(\n client.post(url, data, format='json').status_code,\n status.HTTP_201_CREATED\n )","def test_create(self):\n self.assertEqual(Exercise.objects.count(), 2)\n payload = {\n 'name': 'Pecho plano',\n 'description': 'Some description',\n 'muscle_group': 'pecho'\n }\n self.client.post('/exercises/', data=payload)\n self.assertEqual(Exercise.objects.count(), 3)","def test_get_create_post_as_staff_user(self):\n\n login = self.client.login(username='testuser_staff', password='password12345')\n\n if login:\n url = reverse('blogs:create')\n response = self.client.get(url)\n\n self.assertEqual(response.status_code, 200)\n self.assertTemplateUsed(response, 'create.html')\n self.client.logout()\n else:\n # TODO Make this dynamic rather than hard coded text string\n self.fail('Login Failed for testuser_staff')","def test_items_create_empty_content(patch_mongo):\n # create a user, first\n response = client.put(\"/user\",\n json={\"name\": \"John\"})\n assert response.status_code == status.HTTP_201_CREATED\n\n response = client.get(\"/users\")\n assert response.status_code == status.HTTP_200_OK\n assert len(response.json()) == 1\n\n item = {\n \"content\": \"\",\n \"priority\": \"high\",\n \"status\": \"backlog\",\n \"users\": [\"John\"],\n }\n response = client.post(\"/item\", json=item)\n assert response.status_code == status.HTTP_400_BAD_REQUEST","def test_create_user(self):\n pass","def test_create_user(self):\n pass","def test_create_user(self):\n pass","def test_create_student(self):\n response = self.client.post(self.url, data=json.dumps(self.payload), content_type='application/json')\n self.assertEqual(response.status_code, status.HTTP_200_OK, msg=response.content.decode())\n self.assertEqual(Student.objects.count(), self.qty + 1)\n self.assertTrue(User.objects.filter(email=self.payload['email']).exists())\n self.assertTrue(User.objects.filter(username=self.payload['email']).exists())\n user_id = User.objects.get(username=self.payload['email']).id\n self.assertTrue(Student.objects.filter(user_id=user_id).exists())","def test_get_create_post_as_user_logged_in(self):\n\n login = self.client.login(username='testuser_normal', password='password12345')\n\n if login:\n url = reverse('blogs:create')\n response = self.client.get(url)\n\n self.assertEqual(response.status_code, 403)\n self.client.logout()\n\n else:\n # TODO Make this dynamic rather than hard coded text string\n self.fail('Login Failed for the testuser_normal')","def test_create_movie(self):\n user = User.objects.create(username='test_user')\n user.set_password('test123')\n user.save()\n self.client.login(username='test_user', password='test123')\n\n data = {\n 'title': 'The Mask',\n 'release_year': 1994\n }\n response = self.client.post(self.url, data, format='json')\n self.assertEqual(response.status_code, status.HTTP_201_CREATED)\n self.assertEqual(Movie.objects.count(), 1)\n self.assertEqual(Movie.objects.first().title, 'The Mask')","def test_news_index_has_perm(self):\n self.assertStatusCode(self.url, 200)","def test_get_create_post_as_admin_user(self):\n login = self.client.login(username='testuser_admin', password='password12345')\n\n if login:\n url = reverse('blogs:create')\n response = self.client.get(url)\n\n self.assertEqual(response.status_code, 200)\n self.assertTemplateUsed(response, 'create.html')\n self.client.logout()\n else:\n # TODO Make this dynamic rather than hard coded text string\n self.fail('Login Failed for testuser_staff')","def setUp(self):\n self.news_article = News_Articles(\"Technology Change The World\",\"JOHN DOE\",\"Technolgy is the best\",\"tech.com\",\"tech.com/tchey.png\",\"2020-10-20\")","def test_activity_creation(self):\n\n res = self.register_login_get_token()\n self.assertEqual(res.status_code, 201)\n # create a activity\n res = self.client().post('/bucketlist/1/activities',\n headers=dict(\n Authorization=\"Bearer \" + self.access_token),\n data=self.activity)\n self.assertEqual(res.status_code, 201)\n self.assertIn('Shop in', str(res.data))","def test_create_instructor(self):\n response = self.client.post(self.url, data=json.dumps(self.payload), content_type='application/json')\n self.assertEqual(response.status_code, status.HTTP_200_OK, msg=response.content.decode())\n self.assertEqual(Instructor.objects.count(), self.qty + 1)\n self.assertTrue(User.objects.filter(email=self.payload['email']).exists())\n self.assertTrue(User.objects.filter(username=self.payload['email']).exists())\n user_id = User.objects.get(username=self.payload['email']).id\n self.assertTrue(Instructor.objects.filter(user_id=user_id).exists())","def test_post_creation_unauthenticated(self):\n url = reverse('post-list', args=[self.topic1.url_name])\n payload = {\n 'author': self.user1.id,\n 'title': 'Creating a post while being unauthenticated',\n 'content': 'Rich content 5',\n }\n response = self.client.post(url, payload)\n\n self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)\n new_post = Post.objects.filter(\n author=self.user1,\n title=payload.get('title'),\n content=payload.get('content'),\n topic=self.topic1\n )\n self.assertFalse(new_post.exists())","def create_animal_news_item():\n current_user = get_jwt_identity()\n\n if not current_user:\n print('uri=/login error=\"Missing user\"')\n return jsonify(message=\"Missing user\"), 400\n\n try:\n username = User.get_username_by_id(current_user)\n animal_id = request.json.get('animalId', None)\n news_text = request.json.get('newsText', None)\n shelter_id = ShelterWorker.get_shelter_id_by_user_id(current_user)\n except Exception as e:\n print(e, flush=True)\n return jsonify(message='{}'.format(e)), 500\n\n try:\n user_detail = UserDetail.get_printable_user_detail(username)\n print(user_detail, flush=True)\n except Exception as e:\n print(e, flush=True)\n return jsonify(message=\"{}\".format(e)), 501\n\n if user_detail['userType'] != 'shelter worker':\n return jsonify(message=\"User is not a shelter worker\"), 401\n\n try:\n animal = Animal.get_animal_by_id(animal_id)\n if animal.shelter_id == shelter_id:\n new_animal_news = AnimalNews()\n result = new_animal_news.create_news_item_for_animal_id(news_text, animal_id)\n else:\n message = 'Animal does not belong to same shelter as shelter worker'\n print(message)\n return jsonify(message='{}'.format(message)), 502\n except Exception as e:\n print(e, flush=True)\n return jsonify(message=\"{}\".format(e)), 503\n\n return jsonify(message='{}'.format(result)), 200","def test_regular_user(self):\n url = reverse('api:log-list')\n\n # Test creation\n user = self.template_users['normal_user1']\n self.client.login(email=user['email'], password=user['password'])\n\n response = self.client.post(url, {\n 'message': 'Anon test',\n 'severity': 0,\n 'category': 'test',\n })\n self.assertEqual(response.status_code, status.HTTP_201_CREATED)\n\n # We should see two entries: the pre-built test entry and the\n # one we just created\n response = self.client.get(url)\n self.assertEqual(response.data['count'], 2)\n\n # Deletion should not be possible\n response = self.client.post(reverse('api:log-erase'), {\n 'before': str(timezone.now()),\n 'max_severity': LogEntry.ERROR,\n })\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)","def test_get_reusableitem_api_public(self):\n\n self.reusableitem_1.is_public = True\n self.reusableitem_1.save()\n\n self.client.logout()\n\n\n response = self.client.get(get_reusable_item_1_url(self))\n\n self.assertEqual(response.status_code, status.HTTP_200_OK)","def test_get_reusableitem_api_not_public(self):\n\n # user not logged in\n self.client.logout()\n\n response = self.client.get(get_reusable_item_1_url(self))\n\n self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)\n\n # user logged in and created the Reusable Item\n self.client.force_authenticate(user=self.user_1)\n\n response = self.client.get(get_reusable_item_1_url(self))\n\n self.assertEqual(response.status_code, status.HTTP_200_OK)\n\n # user logged in and did not create the Reusable Item\n self.client.logout()\n self.client.force_authenticate(user=self.user_2)\n\n response = self.client.get(get_reusable_item_1_url(self))\n\n self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)","def test_limit_items(self):\n AnnouncementFactory(\n title=\"Not going to be there\",\n expires_at=timezone.now() - datetime.timedelta(days=1),\n )\n for i in range(5):\n AnnouncementFactory()\n\n response = self.get(\"announcements:feed\")\n\n assert \"Not going to be there\" not in response.content.decode()","def test_collection_viewset_create_as_staff(mocker, post_data, logged_in_apiclient):\n mocker.patch(\"ui.serializers.get_moira_client\")\n client, user = logged_in_apiclient\n user.is_staff = True\n user.save()\n url = reverse(\"models-api:collection-list\")\n result = client.post(url, post_data, format=\"json\")\n assert result.status_code == status.HTTP_201_CREATED\n assert \"videos\" not in result.data\n\n # the creation should work also without a JSON request\n result = client.post(url, post_data)\n assert result.status_code == status.HTTP_201_CREATED\n assert \"videos\" not in result.data","def test_add_permission(self):\r\n self.assertFalse(self.creator_admin.has_add_permission(self.request))","def test_anonymous_user_create_blogposts(self):\r\n\r\n with self.flask_app.test_request_context('/'):\r\n\r\n assert_raises(Unauthorized, getattr(require, 'blogpost').create)","def test_createPost(self):\n\t\tself.client.force_authenticate(user=User.objects.get(id=1))\n\t\turl = \"/posts/\"\n\t\tdata = {\n\t\t\t'text' : 'Vivaldi',\n\t\t\t'group': 3\n\n\t\t}\n\t\tresponse = self.client.post(url, data, format='json')\n\t\tself.assertEqual(response.status_code, status.HTTP_201_CREATED)\n\t\tself.assertEqual(response.data[\"id\"], 4)\n\t\tself.assertEqual(response.data[\"text\"], 'Vivaldi')\n\t\tself.assertEqual(Post.objects.count(), 4)","def test_user_creation(self):\n self.assertEqual(CustomUser.objects.count() - self.user_count, 2)\n self.assertEqual(self.new_student_user.username, 'Student')\n self.assertTrue(self.new_student_user.password, 'student12345')\n self.assertEqual(self.new_instructor_user.username, 'Instructor')\n self.assertTrue(self.new_instructor_user.password, 'instructor12345')","def test_article_created(self):\n response = self.client.post(reverse('add_article'),\n {'title': 'Test title', 'description': 'Some description', 'author': 'Roman'}\n )\n self.assertEqual(response.status_code, 302)","def test_post_list_other_user(self):\n story_post_data = {\n 'title': \"Test Story\",\n 'summary': \"Test Summary\",\n 'byline': \"Test Byline\",\n 'status': \"draft\",\n 'language': \"en\",\n }\n section_post_data = {\n 'title': \"Test Section\",\n 'language': \"en\",\n 'layout': \"26c81c9dd24c4aecab7ab4eb1cc9e2fb\"\n }\n story = create_story(title=\"Test Story\", summary=\"Test Summary\",\n byline=\"Test Byline\", status='published',\n author=self.user2)\n self.api_client.client.login(username=self.username, password=self.password)\n story_resource_uri = '/api/0.1/stories/%s/' % story.story_id \n # Confirm there are no sections\n self.assertEqual(len(story.sections.all()), 0)\n # Create a new section\n sections_uri = \"%ssections/\" % (story_resource_uri)\n response = self.api_client.post(sections_uri,\n format='json', data=section_post_data)\n self.assertHttpUnauthorized(response)\n self.assertEqual(len(story.sections.all()), 0)","def test_create_post(self):\n with self.client:\n result = self.client.post('/users/spike-test/posts', data={\n \"post-title\": \"autotest title\",\n \"post-content\": \"autotest content for blog post testing\"\n }, follow_redirects=True)\n self.assertEqual(result.status_code, 200)\n self.assertIn(b'autotest title', result.data)","def test_perform_create(self):\n\n response = self.client.post(reverse('action-list'), data=self.data)\n self.assertEqual(response.status_code, status.HTTP_201_CREATED)\n self.assertEqual(response.data['name'], self.data['name'])\n self.assertTrue(len(response.data['institution']), self.data['institution'])","def test_create_collection(self):\n pass","def test_collection_viewset_create_as_normal_user(post_data, logged_in_apiclient):\n client, _ = logged_in_apiclient\n url = reverse(\"models-api:collection-list\")\n result = client.post(url, post_data, format=\"json\")\n assert result.status_code == status.HTTP_403_FORBIDDEN","def setUp(self):\n self.client = Client()\n #creamos un usuario en la db\n self.user = User.objects.create_user('super', 'lennon@thebeatles.com', 'super')","def setUp(self):\n\n self.new_user = User(username=\"john\", email=\"john@gmail.com\", pass_secure=\"trial1\")\n\n self.new_blog = Blog(title=\"business blog\", description=\"asdfghjkl\")","def test_create_user(self):\n data = {\n 'username': 'foobar',\n 'email': 'foobar@example.com',\n 'password': 'somepassword'\n }\n\n request = self.factory.post(self.create_url, data, format='json')\n view = UserViewSet.as_view({\"post\": \"create\"})\n response = view(request)\n self.assertEqual(User.objects.count(), 2)\n self.assertEqual(response.status_code, status.HTTP_201_CREATED)\n self.assertEqual(response.data['username'], data['username'])\n self.assertEqual(response.data['email'], data['email'])\n self.assertFalse('password' in response.data)","def testcreatelist(self):\n rv = self.app.get('/createcategory')\n self.assertEqual(rv.status_code, 302, \"createlist page should not load unless signed in\")","def test_create_task_view(self):\n create_task_url = reverse('create_task')\n response = self.client.get(create_task_url)\n self.assertEqual(response.status_code, 200)\n self.assertTemplateUsed(response, 'tasks/task_form.html')\n user = User.objects.get(username='ragsagar')\n data = {\n 'title': 'Test task 2',\n 'priority': 1,\n 'module': 'HRMS',\n 'due_date': datetime.date(2014, 4, 5),\n 'type': 1,\n 'description': 'This is a description',\n 'assigned_user_id': user.pk,\n }\n old_count = Task.objects.all().count()\n response = self.client.post(create_task_url, data)\n self.assertEqual(response.status_code, 302)\n self.assertEqual(Task.objects.all().count(), old_count+1)","def test_shoppingitems_creation(self):\n # register and login a user\n self.app.post('/register', data=self.user_reg_details)\n self.app.post('/login', data=self.user_login_details)\n # create a shopping list\n self.shopping_class_obj.create_list(\n 'Easter', 'maina@gmail.com')\n # make a post request to add an item\n res = self.app.post(\n '/shoppingitems/Easter', data={'item-name': 'Bread'})\n self.assertEqual(res.status_code, 200)\n response = self.item_class_obj.add_item(\n 'Easter', 'Bread', 'maina@gmail.com')\n self.assertIsInstance(response, list)\n # check if item was successfully created\n self.assertIn(\"Bread\", str(res.data))","def test_add_new_post(self):\n with self.client:\n self.client.post(\n url_for('login'), \n data=dict(\n email='admin@admin.com',\n password='admin2016'\n ),\n follow_redirects=True\n )\n response = self.client.post(\n url_for('post'),\n data=dict(\n title=\"Test Title\",\n content=\"Test Content\"\n ),\n follow_redirects=True\n )\n self.assertIn(b'Test Title', response.data)","def test_model_can_create_an_article(self):\n response = CreateArticle().create_article()\n self.assertTrue(isinstance(response, Article))","def test_post_user_post(self):\n pass","def test_api_can_create_users(self):\n res = self.client().post('/api/v1/user/', data = self.req)\n self.assertEquals(res.status_code, 200)\n self.assertIn('mary', str(res.data))","def setUp(self):\n super().setUp()\n\n \"\"\"\n Log in and register a new user.\n Use this user's credentials to create an article. We will perform our\n tests on this created article using the user set up in our base test.\n \"\"\"\n user_data = {\n \"username\": \"new_user\",\n \"email\": \"user@gmail.com\",\n \"password\": \"kamila1990\",\n }\n \"\"\"Register user\"\"\"\n self.client.post(self.registration_url, user_data,\n format='json')\n token = generate_jwt_token(user_data['username'])\n\n self.client.get(\n reverse(\"authentication:activate_user\", args=[token]))\n\n \"\"\"Login the user\"\"\"\n response = self.client.post(self.login_url, user_data,\n format='json')\n self.author_headers = {'HTTP_AUTHORIZATION': 'Bearer {}'.format(\n response.data['token'])}\n\n \"\"\"Post an article\"\"\"\n self.res = self.client.post(self.article_url, self.article_data,\n format=\"json\", **self.author_headers)\n\n self.slug = self.res.data['slug']\n\n self.violate_max_value_error_message = \\\n 'Ensure this value is less than or equal to 5.'\n\n self.violate_min_value_error_message = \\\n 'Ensure this value is greater than or equal to 1.'\n\n self.violate_empty_value_error_message = \\\n 'Please fill in the rating'\n\n self.non_existent_article_message = \\\n 'That article does not exist'\n\n self.rate_own_article_error_message = \\\n 'Sorry, but you cannot rate your own article.'","def setUp(self):\r\n\r\n User.query.delete()\r\n Article.query.delete()\r\n db.session.commit()\r\n\r\n u = User(\r\n username=\"testuser\",\r\n password=\"HASHED_PASSWORD\",\r\n location=\"US-VA\"\r\n )\r\n\r\n db.session.add(u)\r\n db.session.commit()\r\n\r\n a = Article(\r\n path='testPath',\r\n url='https://wwww.testurl.com',\r\n location=\"US\",\r\n title=\"testTitle\",\r\n excerpt=\"testExcerpt\",\r\n image=\"https://www.testurl.com/testimg.jpg\",\r\n source=\"testSource\",\r\n published_date=\"2020-04-25 05:06:00\",\r\n saved_by=u.id\r\n )\r\n\r\n db.session.add(a)\r\n db.session.commit()\r\n\r\n self.client = app.test_client()\r\n app.config['TESTING'] = True\r\n app.config['WTF_CSRF_ENABLED'] = False","def test_movies_limited_to_user(self):\n user2 = get_user_model().objects.create_user(\n 'other@youremail.com',\n 'pass123'\n )\n sample_movie(user=user2)\n sample_movie(user=self.user)\n\n res = self.client.get(MOVIES_URL)\n\n movies = Movie.objects.filter(user=self.user)\n serializer = MovieSerializer(movies, many=True)\n self.assertEqual(res.status_code, status.HTTP_200_OK)\n self.assertEqual(len(res.data), 1)\n self.assertEqual(res.data, serializer.data)","def test_add_user(self):\n pass","def setUp(self):\n user = User.objects.create(username=\"nerd\")\n self.client = APIClient()\n self.client.force_authenticate(user=user)\n self.post_data = {'name':'Go to Ibiza', 'owner': user.id}\n self.response = self.client.post(\n reverse('create'),\n self.post_data,\n format=\"json\")","def test_create_successful(self):\n self.webkom.add_user(self.disallowed_user)\n request = self.factory.post(\"/permissiontest/\", self.test_update_object)\n force_authenticate(request, self.disallowed_user)\n view = TestViewSet.as_view({\"post\": \"create\"})\n\n response = view(request)\n created = response.data\n\n self.assertEqual(response.status_code, status.HTTP_201_CREATED)\n self.assertEqual(created[\"name\"], self.test_update_object[\"name\"])","def test_blog_add():","def test_create__normal_valid(self):\n testing_config.sign_in('admin@example.com', 123567890)\n\n json_data = {\n 'email': 'new_user@example.com',\n 'isAdmin': False, 'isSiteEditor': False}\n with test_app.test_request_context(self.request_path, json=json_data):\n actual_json = self.handler.do_post()\n self.assertEqual('new_user@example.com', actual_json['email'])\n self.assertFalse(actual_json['is_site_editor'])\n self.assertFalse(actual_json['is_admin'])\n\n new_appuser = (user_models.AppUser.query(\n user_models.AppUser.email == 'new_user@example.com').get())\n result_email = new_appuser.email\n result_is_admin = new_appuser.is_admin\n new_appuser.key.delete()\n self.assertEqual('new_user@example.com', result_email)\n self.assertFalse(result_is_admin)","def test_api_can_create_a_post(self):\n self.assertEqual(self.response.status_code, status.HTTP_201_CREATED)","def test_supeuser_create_log(self):\n user = SuperUserFactory.create()\n self.request.user = user\n user_logged_in.send(\n sender=user.__class__,\n request=self.request,\n user=user,\n )\n\n self.assertTrue(LogEntry.objects.get())","def test_user_create(self):\n user_count = User.objects.count()\n user = User.objects.create_user(email='test@test.com', password='test')\n self.assertTrue(User.objects.count() == user_count + 1)\n self.assertFalse(user.is_staff)\n self.assertFalse(user.is_superuser)\n with self.assertRaises(ValueError, msg='The email must be provided'):\n User.objects.create_user(email='', password='test')"],"string":"[\n \"def test_news_create(self):\\n news = News.save_news('www.testing.com', 'testing', 'testing is painful but important', datetime.utcnow(), 'www.sometestimg.url' )\\n news_created = News.query.get(news.url)\\n\\n all_news = News.query.all()\\n\\n self.assertEqual(len(all_news), 1)\\n self.assertEqual(news, news_created)\",\n \"def test_create_reusableitem_authenticated(self):\\n\\n self.client.force_authenticate(user=self.user_1)\\n\\n toptenitems = self.toptenlist_1.topTenItem.all()\\n toptenitem_1_id = toptenitems[0].id\\n\\n response = create_reusable_item_1(self, toptenitem_1_id, **reusableitem_1_data)\\n\\n newreusableitem = self.reusableitem_1\\n\\n self.assertEqual(response.status_code, status.HTTP_200_OK)\\n self.assertEqual(ReusableItem.objects.count(), 1)\\n\\n # the new Reusable Item has the correct properties\\n self.assertEqual(newreusableitem.name, reusableitem_1_data['name'])\\n self.assertEqual(newreusableitem.definition, reusableitem_1_data['reusableItemDefinition'])\\n self.assertEqual(newreusableitem.link, reusableitem_1_data['reusableItemLink'])\\n self.assertEqual(newreusableitem.is_public, False)\",\n \"def create_item(self, user: User, **kwargs) -> None:\",\n \"def test_publish(self):\\n spiderman = User.objects.create(username=\\\"spiderman\\\", password=\\\"mary_jane\\\")\\n BlogEntry.objects.create(title=\\\"Spam Blog\\\", text=\\\"This is BlogSpam\\\", created_by=spiderman)\",\n \"def test_create_methods(self):\\n self.assertFalse('articles' in self.site.__dict__)\\n self.site.articles()\\n self.assertTrue('articles' in self.site.__dict__)\",\n \"def test_post_creation_regular_user(self):\\n url = reverse('post-list')\\n user_url = reverse('user-detail', kwargs={'pk': self.superuser.id})\\n title = 'Test Title'\\n body = 'Test Body'\\n self.client.force_authenticate(user=self.user)\\n response = self.client.post(url, {'title': title, 'body': body, 'user': user_url}, format='json')\\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)\",\n \"def test_create_post(self):\\n self.test_category = Category.objects.create(name='django')\\n self.testuser1 = User.objects.create_superuser(\\n username='test_user1', password='123456789')\\n # self.testuser1.is_staff = True\\n\\n self.client.login(username=self.testuser1.username,\\n password='123456789')\\n\\n data = {\\\"title\\\": \\\"new\\\", \\\"author\\\": 1,\\n \\\"excerpt\\\": \\\"new\\\", \\\"content\\\": \\\"new\\\"}\\n url = reverse('blog_api:listcreate')\\n response = self.client.post(url, data, format='json')\\n self.assertEqual(response.status_code, status.HTTP_201_CREATED)\",\n \"def test_post_create_post_as_user_logged_in(self):\\n\\n login = self.client.login(username='testuser_normal', password='password12345')\\n\\n if login:\\n\\n new_title = \\\"this is a new title for create\\\"\\n new_content = \\\"this is new content for create by nicholas herriot\\\"\\n new_published_date = \\\"2017-01-01\\\"\\n data = {'title': new_title, 'content': new_content, 'publish': new_published_date}\\n url = reverse('blogs:create')\\n response = self.client.post(url, data)\\n\\n # There should not be a new blog create with this title, so check that it does not exist\\n with self.assertRaises(Post.DoesNotExist):\\n new_blog = Post.objects.get(title=new_title)\\n self.assertEqual(response.status_code, 403)\\n self.client.logout()\\n else:\\n # TODO Make this dynamic rather than hard coded text string\\n self.fail('Login Failed for testuser_staff')\",\n \"def test_create(self):\\n urls = [reverse('api:user-list')]\\n data = {\\n \\\"username\\\": \\\"newuser\\\",\\n \\\"email\\\": \\\"newuser@example.com\\\",\\n \\\"password\\\": \\\"password\\\"\\n }\\n access = {\\n \\\"forbidden\\\": [self.anonymous_client, self.readonly_client, self.custodian_1_client],\\n \\\"allowed\\\": [self.admin_client]\\n }\\n for client in access['forbidden']:\\n for url in urls:\\n self.assertIn(\\n client.post(url, data, format='json').status_code,\\n [status.HTTP_401_UNAUTHORIZED, status.HTTP_403_FORBIDDEN]\\n )\\n\\n for client in access['allowed']:\\n for url in urls:\\n self.assertEqual(\\n client.post(url, data, format='json').status_code,\\n status.HTTP_201_CREATED\\n )\",\n \"def test_alert_create_for_site_members(self):\\n pass\",\n \"def test_post_creation_admin(self):\\n url = reverse('post-list')\\n user_url = reverse('user-detail', kwargs={'pk': self.superuser.id})\\n title = 'Test Title'\\n body = 'Test Body'\\n self.client.force_authenticate(user=self.superuser)\\n response = self.client.post(url, {'title': title, 'body': body, 'user': user_url}, format='json')\\n self.assertEqual(response.status_code, status.HTTP_201_CREATED)\\n self.assertIn(title, response.content)\\n self.assertIn(body, response.content)\\n self.assertIn(user_url, response.content)\",\n \"def test_create_reusableitem_not_authenticated(self):\\n\\n self.client.logout()\\n\\n toptenitems = self.toptenlist_1.topTenItem.all()\\n toptenitem_1_id = toptenitems[0].id\\n\\n response = create_reusable_item_1(self, toptenitem_1_id, **reusableitem_1_data)\\n\\n # the request should fail\\n self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)\",\n \"def test_create_activity(self):\\n pass\",\n \"def setUp(self):\\n self.url = reverse(\\\"learning_logs:topics\\\")\\n self.client = Client()\\n self.user = User.objects.create_user(\\n username=\\\"test\\\", email=\\\"test@email.com\\\", password=\\\"test\\\"\\n )\\n Topic.objects.create(user=self.user, text=\\\"Test1\\\", public=True)\\n Topic.objects.create(user=self.user, text=\\\"Test2\\\", public=True)\\n Topic.objects.create(user=self.user, text=\\\"Test3\\\", public=True)\\n Topic.objects.create(user=self.user, text=\\\"Test4\\\", public=False)\",\n \"def test_feed_item_creation(self):\\n title = 'title'\\n link = 'link'\\n description = 'description'\\n item = FeedItem(title, link, description)\\n assert isinstance(item, FeedItem)\\n assert item.title == title\\n assert item.link == link\\n assert item.description == description\",\n \"def test_create(self):\\n pass\",\n \"def test_create_item(self):\\n item = self.item\\n\\n self.assertTrue(isinstance(item, Item))\\n self.assertEqual(item.name, \\\"Test Item\\\")\",\n \"def test_post_create_post_as_admin_user(self):\\n login = self.client.login(username='testuser_admin', password='password12345')\\n\\n if login:\\n\\n new_title = \\\"this is a new title for create\\\"\\n new_content = \\\"this is new content for create by nicholas herriot\\\"\\n new_published_date = datetime.date(2018, 3, 3)\\n data = {'title': new_title, 'content': new_content, 'publish': new_published_date}\\n\\n url = reverse('blogs:create')\\n response = self.client.post(url, data)\\n\\n # There should now be a new blog create with this title and content, so check that it does exist\\n new_blog = Post.objects.get(title='this is a new title for create')\\n\\n self.assertEqual(new_blog.title, new_title)\\n self.assertEqual(new_blog.content, new_content)\\n # TODO Get the publish date check working correclty\\n # self.assertEqual(new_blog.publish, new_published_date)\\n\\n self.assertEqual(response.status_code, 302)\\n self.client.logout()\\n else:\\n # TODO Make this dynamic rather than hard coded text string\\n self.fail('Login Failed for testuser_staff')\",\n \"def test_post_create_post_as_anonymous_user(self):\\n\\n url = reverse('blogs:create')\\n new_title = \\\"this is a new title for create\\\"\\n new_content = \\\"this is new content for create by nicholas herriot\\\"\\n new_published_date = \\\"2017-01-01\\\"\\n data = {'title': new_title, 'content': new_content, 'publish': new_published_date}\\n response = self.client.post(url, data)\\n\\n # There should not be a new blog create with this title, so check that it does not exist\\n with self.assertRaises(Post.DoesNotExist):\\n new_blog = Post.objects.get(title=new_title)\\n self.assertEqual(response.status_code, 403)\",\n \"def test_create_not_admin(self):\\n self.assertEqual(Product.objects.count(), 2)\\n payload = {\\n 'name': 'New product',\\n 'category': self.category_1.id,\\n 'sku': '11111111',\\n 'description': 'New product description',\\n 'price': 39.99\\n }\\n\\n token = Token.objects.create(user=self.user_1)\\n headers = {\\n 'HTTP_AUTHORIZATION': 'Token ' + str(token)\\n }\\n expected = {'detail': 'You do not have permission to perform this action.'}\\n response = self.client.post(\\n '/api/products/', data=payload,\\n content_type='application/json', **headers)\\n self.assertEqual(response.status_code, 403)\\n self.assertEqual(response.json(), expected)\\n self.assertEqual(Product.objects.count(), 2)\",\n \"def test_create_reusableitem_not_toptenlist_owner(self):\\n\\n self.client.logout()\\n\\n self.client.force_authenticate(user=self.user_2)\\n\\n toptenitems = self.toptenlist_1.topTenItem.all()\\n toptenitem_1_id = toptenitems[0].id\\n\\n response = create_reusable_item_1(self, toptenitem_1_id, **reusableitem_1_data)\\n\\n # the user cannot see the Top Ten Item because they did not create it\\n self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)\",\n \"def setUp(self):\\n subj = create_subject()\\n subj.save()\\n post = Post.create(subject=subj, title=\\\"123ABC\\\", body=\\\"123ABC Body\\\")\\n post.save()\\n comment = Comment.create(post=post, body=\\\"987XYZ\\\")\\n comment.save()\\n # Create and login user\\n self.user = User.objects.create_user(username='testuser', password='12345')\\n login = self.client.login(username='testuser', password='12345')\",\n \"def test_chooser_has_perms_no_news(self):\\n response = self.client.get(reverse('wagtailnews:choose'))\\n self.assertEqual(response.status_code, 200)\",\n \"def test_creating_shopping_item(create_shopping_item, create_user):\\n owner = create_user\\n shopping_item = create_shopping_item\\n assert shopping_item.owner == owner\",\n \"def test_createUser_single(self):\\n #TODO: this and other tests\",\n \"def test_post_creation_unauthorized(self):\\n url = reverse('post-list')\\n user_url = reverse('user-detail', kwargs={'pk': self.superuser.id})\\n title = 'Test Title'\\n body = 'Test Body'\\n response = self.client.post(url, {'title': title, 'body': body, 'user': user_url}, format='json')\\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)\",\n \"def test_items_create_no_user(patch_mongo):\\n item = {\\n \\\"content\\\": \\\"lorem ipsum\\\",\\n \\\"priority\\\": \\\"high\\\",\\n \\\"status\\\": \\\"backlog\\\",\\n \\\"users\\\": [\\\"John\\\"],\\n }\\n\\n response = client.post(\\\"/item\\\", json=item)\\n assert response.status_code == status.HTTP_400_BAD_REQUEST\",\n \"def test_user_create_list(self):\\n c = Client()\\n c.login(username= 'testuser', password = 'password')\\n c.post('/inventory/list/add/', {'name': 'testname'})\\n\\n self.assertEqual(List.objects.get(name = 'testname'), List.objects.get(users__username = 'testuser'))\",\n \"def test_users_post(self):\\n pass\",\n \"def test_users_post(self):\\n pass\",\n \"def test_get_create_post_as_staff_user_and_check_main_title_description(self):\\n\\n login = self.client.login(username='testuser_staff', password='password12345')\\n\\n if login:\\n url = reverse('blogs:create')\\n response = self.client.get(url)\\n\\n self.assertEqual(response.status_code, 200)\\n self.assertTemplateUsed(response, 'create.html')\\n self.assertIn(self.main_title, str(response.content))\\n self.assertIn(self.description1, str(response.content))\\n self.assertIn(self.description2, str(response.content))\\n self.client.logout()\\n else:\\n # TODO Make this dynamic rather than hard coded text string\\n self.fail('Login Failed for testuser_staff')\",\n \"def test_create(self, client):\\n count = get_user_model().objects.count()\\n data = factory.build(dict, FACTORY_CLASS=UserFactory)\\n url = reverse('users:create')\\n response = client.post(url, data)\\n assert response.status_code == 302\\n\\n user = get_user_model().objects.last()\\n assert user.username == data['username']\\n assert user.birthday == datetime.datetime.strptime(data['birthday'], '%Y-%m-%d').date()\\n assert get_user_model().objects.count() == count + 1\",\n \"def test_api_video_create_staff_or_user(self):\\n for user in [factories.UserFactory(), factories.UserFactory(is_staff=True)]:\\n self.client.login(username=user.username, password=\\\"test\\\")\\n response = self.client.post(\\\"/api/videos/\\\")\\n self.assertEqual(response.status_code, 401)\\n self.assertFalse(models.Video.objects.exists())\",\n \"def test_post_create_post_as_staff_user(self):\\n login = self.client.login(username='testuser_staff', password='password12345')\\n\\n if login:\\n\\n new_title = \\\"this is a new title for create\\\"\\n new_content = \\\"this is new content for create by nicholas herriot\\\"\\n new_published_date = datetime.date(2018, 3, 3)\\n data = {'title': new_title, 'content': new_content, 'publish': new_published_date}\\n\\n url = reverse('blogs:create')\\n response = self.client.post(url, data)\\n\\n # There should now be a new blog create with this title and content, so check that it does exist\\n new_blog = Post.objects.get(title='this is a new title for create')\\n # print(\\\"*** New blog created as a slug of: {}\\\".format(new_blog.slug))\\n # print(\\\"*** New blog created as a titel of: {}\\\".format(new_blog.title))\\n # print(\\\"*** New blog created as content of: {}\\\".format(new_blog.content))\\n # print(\\\"*** New blog created as a published date of: {}\\\".format(new_blog.publish))\\n\\n self.assertEqual(new_blog.title, new_title)\\n self.assertEqual(new_blog.content, new_content)\\n # TODO Get the publish date check working correctly\\n # self.assertEqual(new_blog.publish, new_published_date)\\n\\n self.assertEqual(response.status_code, 302)\\n self.client.logout()\\n else:\\n # TODO Make this dynamic rather than hard coded text string\\n self.fail('Login Failed for testuser_staff')\",\n \"def test_create(self):\\n self.client.force_authenticate(user=self.admin)\\n\\n data = {\\n 'retreat': reverse(\\n 'retreat:retreat-detail', args=[self.retreat.id]\\n ),\\n 'user': reverse('user-detail', args=[self.user2.id]),\\n }\\n\\n response = self.client.post(\\n reverse(\\n 'retreat:waitqueuenotification-list',\\n ),\\n data,\\n format='json',\\n )\\n\\n self.assertEqual(\\n response.status_code,\\n status.HTTP_405_METHOD_NOT_ALLOWED\\n )\",\n \"def test_feed_creation(self):\\n items = []\\n feed = Feed(items)\\n assert isinstance(feed, Feed)\\n assert items == feed.items\",\n \"def test_add_maually(self):\\n self.site.articles = 'foo'\\n self.assertEqual(self.site.articles(), 'foo')\",\n \"def test_add_item_using_post(self):\\n pass\",\n \"def test_post_users_post(self):\\n pass\",\n \"def test_items_create_empty_user(patch_mongo):\\n item = {\\n \\\"content\\\": \\\"lorem ipsum\\\",\\n \\\"priority\\\": \\\"high\\\",\\n \\\"status\\\": \\\"backlog\\\",\\n \\\"users\\\": [],\\n }\\n\\n response = client.post(\\\"/item\\\", json=item)\\n assert response.status_code == status.HTTP_400_BAD_REQUEST\",\n \"def setUp(self):\\n self.new_article = Article(\\\"abc-news\\\", \\\"ABC News\\\", \\\"Your trusted source for breaking news, analysis, exclusive interviews, headlines, and videos at ABCNews.com.\\\",\\\"https://abcnews.go.com\\\", \\\"general\\\", \\\"en\\\", \\\"us\\\")\",\n \"def test_create_with_permissions(self):\\n permissions = Permission.objects.filter(name__in=('Can add course mode', 'Can change course mode'))\\n for permission in permissions:\\n self.user.user_permissions.add(permission)\\n\\n self.assert_can_create_course()\",\n \"def test_post_creation_success(self):\\n url = reverse('post-list', args=[self.topic1.url_name])\\n payload = {\\n 'author': self.user1.id,\\n 'title': 'Creating a post',\\n 'content': 'Rich content 4',\\n }\\n self.client.credentials(\\n HTTP_AUTHORIZATION = 'Token ' + self.user1.auth_token.key\\n )\\n response = self.client.post(url, payload)\\n\\n self.assertEqual(response.status_code, status.HTTP_201_CREATED)\\n new_post = Post.objects.filter(\\n author=self.user1,\\n title=payload.get('title'),\\n content=payload.get('content'),\\n topic=self.topic1\\n )\\n self.assertTrue(new_post.exists())\",\n \"def setUp(self):\\n\\n self.user_data = {\\n \\\"username\\\": \\\"test_user\\\",\\n \\\"email\\\": \\\"test_user@mailinator.com\\\",\\n \\\"password\\\": \\\"P@ssW0rd!\\\"\\n }\\n\\n self.user = User.objects.create_user(**self.user_data)\\n self.article_data = {\\n 'title': 'the quick brown fox',\\n 'body': 'this article is nice',\\n 'description': 'this is a description',\\n 'author': self.user\\n }\\n self.article = Articles.objects.create(**self.article_data)\\n\\n self.bookmark_data = {\\n \\\"profile\\\": self.user.profile,\\n \\\"article\\\": self.article\\n }\",\n \"def test_user_creation(self):\\r\\n \\r\\n self.assertIsInstance(self.user, User)\",\n \"def test_create_reusableitem_not_verified(self):\\n\\n email_address = EmailAddress.objects.get(user_id=self.user_1.id)\\n email_address.verified = False\\n email_address.save()\\n\\n self.client.force_authenticate(user=self.user_1)\\n\\n toptenitems = self.toptenlist_1.topTenItem.all()\\n toptenitem_1_id = toptenitems[0].id\\n\\n response = create_reusable_item_1(self, toptenitem_1_id, **reusableitem_1_data)\\n\\n # the user can see the Top Ten Item because they created it\\n # but cannot change it because their email address is not verified\\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)\",\n \"def test_user_creation(self):\\n self.assertTrue(User.objects.exists())\",\n \"def test_registered_user_can_create_project(self):\\n user = self._create_user({\\\"username\\\":\\\"user2\\\",\\\"email\\\":\\\"ab@cd.com\\\"})\\n testproject = self._create_comicsite_in_admin(user,\\\"user1project\\\") \\n testpage1 = create_page_in_admin(testproject,\\\"testpage1\\\")\\n testpage2 = create_page_in_admin(testproject,\\\"testpage2\\\")\\n \\n self._test_page_can_be_viewed(user,testpage1)\\n self._test_page_can_be_viewed(self.root,testpage1)\",\n \"def test_bulk_create(self):\\n urls = [reverse('api:user-list')]\\n data = [\\n {\\n \\\"username\\\": \\\"newuser1\\\",\\n \\\"email\\\": \\\"newuser1@example.com\\\",\\n \\\"password\\\": \\\"password\\\"\\n },\\n {\\n \\\"username\\\": \\\"newuser2\\\",\\n \\\"email\\\": \\\"newuser2@example.com\\\",\\n \\\"password\\\": \\\"password\\\"\\n },\\n ]\\n access = {\\n \\\"forbidden\\\": [self.admin_client, self.anonymous_client, self.readonly_client, self.custodian_1_client],\\n \\\"allowed\\\": []\\n }\\n for client in access['forbidden']:\\n for url in urls:\\n self.assertIn(\\n client.post(url, data, format='json').status_code,\\n [status.HTTP_400_BAD_REQUEST, status.HTTP_401_UNAUTHORIZED, status.HTTP_403_FORBIDDEN]\\n )\\n\\n for client in access['allowed']:\\n for url in urls:\\n self.assertEqual(\\n client.post(url, data, format='json').status_code,\\n status.HTTP_201_CREATED\\n )\",\n \"def test_create(self):\\n self.assertEqual(Exercise.objects.count(), 2)\\n payload = {\\n 'name': 'Pecho plano',\\n 'description': 'Some description',\\n 'muscle_group': 'pecho'\\n }\\n self.client.post('/exercises/', data=payload)\\n self.assertEqual(Exercise.objects.count(), 3)\",\n \"def test_get_create_post_as_staff_user(self):\\n\\n login = self.client.login(username='testuser_staff', password='password12345')\\n\\n if login:\\n url = reverse('blogs:create')\\n response = self.client.get(url)\\n\\n self.assertEqual(response.status_code, 200)\\n self.assertTemplateUsed(response, 'create.html')\\n self.client.logout()\\n else:\\n # TODO Make this dynamic rather than hard coded text string\\n self.fail('Login Failed for testuser_staff')\",\n \"def test_items_create_empty_content(patch_mongo):\\n # create a user, first\\n response = client.put(\\\"/user\\\",\\n json={\\\"name\\\": \\\"John\\\"})\\n assert response.status_code == status.HTTP_201_CREATED\\n\\n response = client.get(\\\"/users\\\")\\n assert response.status_code == status.HTTP_200_OK\\n assert len(response.json()) == 1\\n\\n item = {\\n \\\"content\\\": \\\"\\\",\\n \\\"priority\\\": \\\"high\\\",\\n \\\"status\\\": \\\"backlog\\\",\\n \\\"users\\\": [\\\"John\\\"],\\n }\\n response = client.post(\\\"/item\\\", json=item)\\n assert response.status_code == status.HTTP_400_BAD_REQUEST\",\n \"def test_create_user(self):\\n pass\",\n \"def test_create_user(self):\\n pass\",\n \"def test_create_user(self):\\n pass\",\n \"def test_create_student(self):\\n response = self.client.post(self.url, data=json.dumps(self.payload), content_type='application/json')\\n self.assertEqual(response.status_code, status.HTTP_200_OK, msg=response.content.decode())\\n self.assertEqual(Student.objects.count(), self.qty + 1)\\n self.assertTrue(User.objects.filter(email=self.payload['email']).exists())\\n self.assertTrue(User.objects.filter(username=self.payload['email']).exists())\\n user_id = User.objects.get(username=self.payload['email']).id\\n self.assertTrue(Student.objects.filter(user_id=user_id).exists())\",\n \"def test_get_create_post_as_user_logged_in(self):\\n\\n login = self.client.login(username='testuser_normal', password='password12345')\\n\\n if login:\\n url = reverse('blogs:create')\\n response = self.client.get(url)\\n\\n self.assertEqual(response.status_code, 403)\\n self.client.logout()\\n\\n else:\\n # TODO Make this dynamic rather than hard coded text string\\n self.fail('Login Failed for the testuser_normal')\",\n \"def test_create_movie(self):\\n user = User.objects.create(username='test_user')\\n user.set_password('test123')\\n user.save()\\n self.client.login(username='test_user', password='test123')\\n\\n data = {\\n 'title': 'The Mask',\\n 'release_year': 1994\\n }\\n response = self.client.post(self.url, data, format='json')\\n self.assertEqual(response.status_code, status.HTTP_201_CREATED)\\n self.assertEqual(Movie.objects.count(), 1)\\n self.assertEqual(Movie.objects.first().title, 'The Mask')\",\n \"def test_news_index_has_perm(self):\\n self.assertStatusCode(self.url, 200)\",\n \"def test_get_create_post_as_admin_user(self):\\n login = self.client.login(username='testuser_admin', password='password12345')\\n\\n if login:\\n url = reverse('blogs:create')\\n response = self.client.get(url)\\n\\n self.assertEqual(response.status_code, 200)\\n self.assertTemplateUsed(response, 'create.html')\\n self.client.logout()\\n else:\\n # TODO Make this dynamic rather than hard coded text string\\n self.fail('Login Failed for testuser_staff')\",\n \"def setUp(self):\\n self.news_article = News_Articles(\\\"Technology Change The World\\\",\\\"JOHN DOE\\\",\\\"Technolgy is the best\\\",\\\"tech.com\\\",\\\"tech.com/tchey.png\\\",\\\"2020-10-20\\\")\",\n \"def test_activity_creation(self):\\n\\n res = self.register_login_get_token()\\n self.assertEqual(res.status_code, 201)\\n # create a activity\\n res = self.client().post('/bucketlist/1/activities',\\n headers=dict(\\n Authorization=\\\"Bearer \\\" + self.access_token),\\n data=self.activity)\\n self.assertEqual(res.status_code, 201)\\n self.assertIn('Shop in', str(res.data))\",\n \"def test_create_instructor(self):\\n response = self.client.post(self.url, data=json.dumps(self.payload), content_type='application/json')\\n self.assertEqual(response.status_code, status.HTTP_200_OK, msg=response.content.decode())\\n self.assertEqual(Instructor.objects.count(), self.qty + 1)\\n self.assertTrue(User.objects.filter(email=self.payload['email']).exists())\\n self.assertTrue(User.objects.filter(username=self.payload['email']).exists())\\n user_id = User.objects.get(username=self.payload['email']).id\\n self.assertTrue(Instructor.objects.filter(user_id=user_id).exists())\",\n \"def test_post_creation_unauthenticated(self):\\n url = reverse('post-list', args=[self.topic1.url_name])\\n payload = {\\n 'author': self.user1.id,\\n 'title': 'Creating a post while being unauthenticated',\\n 'content': 'Rich content 5',\\n }\\n response = self.client.post(url, payload)\\n\\n self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)\\n new_post = Post.objects.filter(\\n author=self.user1,\\n title=payload.get('title'),\\n content=payload.get('content'),\\n topic=self.topic1\\n )\\n self.assertFalse(new_post.exists())\",\n \"def create_animal_news_item():\\n current_user = get_jwt_identity()\\n\\n if not current_user:\\n print('uri=/login error=\\\"Missing user\\\"')\\n return jsonify(message=\\\"Missing user\\\"), 400\\n\\n try:\\n username = User.get_username_by_id(current_user)\\n animal_id = request.json.get('animalId', None)\\n news_text = request.json.get('newsText', None)\\n shelter_id = ShelterWorker.get_shelter_id_by_user_id(current_user)\\n except Exception as e:\\n print(e, flush=True)\\n return jsonify(message='{}'.format(e)), 500\\n\\n try:\\n user_detail = UserDetail.get_printable_user_detail(username)\\n print(user_detail, flush=True)\\n except Exception as e:\\n print(e, flush=True)\\n return jsonify(message=\\\"{}\\\".format(e)), 501\\n\\n if user_detail['userType'] != 'shelter worker':\\n return jsonify(message=\\\"User is not a shelter worker\\\"), 401\\n\\n try:\\n animal = Animal.get_animal_by_id(animal_id)\\n if animal.shelter_id == shelter_id:\\n new_animal_news = AnimalNews()\\n result = new_animal_news.create_news_item_for_animal_id(news_text, animal_id)\\n else:\\n message = 'Animal does not belong to same shelter as shelter worker'\\n print(message)\\n return jsonify(message='{}'.format(message)), 502\\n except Exception as e:\\n print(e, flush=True)\\n return jsonify(message=\\\"{}\\\".format(e)), 503\\n\\n return jsonify(message='{}'.format(result)), 200\",\n \"def test_regular_user(self):\\n url = reverse('api:log-list')\\n\\n # Test creation\\n user = self.template_users['normal_user1']\\n self.client.login(email=user['email'], password=user['password'])\\n\\n response = self.client.post(url, {\\n 'message': 'Anon test',\\n 'severity': 0,\\n 'category': 'test',\\n })\\n self.assertEqual(response.status_code, status.HTTP_201_CREATED)\\n\\n # We should see two entries: the pre-built test entry and the\\n # one we just created\\n response = self.client.get(url)\\n self.assertEqual(response.data['count'], 2)\\n\\n # Deletion should not be possible\\n response = self.client.post(reverse('api:log-erase'), {\\n 'before': str(timezone.now()),\\n 'max_severity': LogEntry.ERROR,\\n })\\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)\",\n \"def test_get_reusableitem_api_public(self):\\n\\n self.reusableitem_1.is_public = True\\n self.reusableitem_1.save()\\n\\n self.client.logout()\\n\\n\\n response = self.client.get(get_reusable_item_1_url(self))\\n\\n self.assertEqual(response.status_code, status.HTTP_200_OK)\",\n \"def test_get_reusableitem_api_not_public(self):\\n\\n # user not logged in\\n self.client.logout()\\n\\n response = self.client.get(get_reusable_item_1_url(self))\\n\\n self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)\\n\\n # user logged in and created the Reusable Item\\n self.client.force_authenticate(user=self.user_1)\\n\\n response = self.client.get(get_reusable_item_1_url(self))\\n\\n self.assertEqual(response.status_code, status.HTTP_200_OK)\\n\\n # user logged in and did not create the Reusable Item\\n self.client.logout()\\n self.client.force_authenticate(user=self.user_2)\\n\\n response = self.client.get(get_reusable_item_1_url(self))\\n\\n self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)\",\n \"def test_limit_items(self):\\n AnnouncementFactory(\\n title=\\\"Not going to be there\\\",\\n expires_at=timezone.now() - datetime.timedelta(days=1),\\n )\\n for i in range(5):\\n AnnouncementFactory()\\n\\n response = self.get(\\\"announcements:feed\\\")\\n\\n assert \\\"Not going to be there\\\" not in response.content.decode()\",\n \"def test_collection_viewset_create_as_staff(mocker, post_data, logged_in_apiclient):\\n mocker.patch(\\\"ui.serializers.get_moira_client\\\")\\n client, user = logged_in_apiclient\\n user.is_staff = True\\n user.save()\\n url = reverse(\\\"models-api:collection-list\\\")\\n result = client.post(url, post_data, format=\\\"json\\\")\\n assert result.status_code == status.HTTP_201_CREATED\\n assert \\\"videos\\\" not in result.data\\n\\n # the creation should work also without a JSON request\\n result = client.post(url, post_data)\\n assert result.status_code == status.HTTP_201_CREATED\\n assert \\\"videos\\\" not in result.data\",\n \"def test_add_permission(self):\\r\\n self.assertFalse(self.creator_admin.has_add_permission(self.request))\",\n \"def test_anonymous_user_create_blogposts(self):\\r\\n\\r\\n with self.flask_app.test_request_context('/'):\\r\\n\\r\\n assert_raises(Unauthorized, getattr(require, 'blogpost').create)\",\n \"def test_createPost(self):\\n\\t\\tself.client.force_authenticate(user=User.objects.get(id=1))\\n\\t\\turl = \\\"/posts/\\\"\\n\\t\\tdata = {\\n\\t\\t\\t'text' : 'Vivaldi',\\n\\t\\t\\t'group': 3\\n\\n\\t\\t}\\n\\t\\tresponse = self.client.post(url, data, format='json')\\n\\t\\tself.assertEqual(response.status_code, status.HTTP_201_CREATED)\\n\\t\\tself.assertEqual(response.data[\\\"id\\\"], 4)\\n\\t\\tself.assertEqual(response.data[\\\"text\\\"], 'Vivaldi')\\n\\t\\tself.assertEqual(Post.objects.count(), 4)\",\n \"def test_user_creation(self):\\n self.assertEqual(CustomUser.objects.count() - self.user_count, 2)\\n self.assertEqual(self.new_student_user.username, 'Student')\\n self.assertTrue(self.new_student_user.password, 'student12345')\\n self.assertEqual(self.new_instructor_user.username, 'Instructor')\\n self.assertTrue(self.new_instructor_user.password, 'instructor12345')\",\n \"def test_article_created(self):\\n response = self.client.post(reverse('add_article'),\\n {'title': 'Test title', 'description': 'Some description', 'author': 'Roman'}\\n )\\n self.assertEqual(response.status_code, 302)\",\n \"def test_post_list_other_user(self):\\n story_post_data = {\\n 'title': \\\"Test Story\\\",\\n 'summary': \\\"Test Summary\\\",\\n 'byline': \\\"Test Byline\\\",\\n 'status': \\\"draft\\\",\\n 'language': \\\"en\\\",\\n }\\n section_post_data = {\\n 'title': \\\"Test Section\\\",\\n 'language': \\\"en\\\",\\n 'layout': \\\"26c81c9dd24c4aecab7ab4eb1cc9e2fb\\\"\\n }\\n story = create_story(title=\\\"Test Story\\\", summary=\\\"Test Summary\\\",\\n byline=\\\"Test Byline\\\", status='published',\\n author=self.user2)\\n self.api_client.client.login(username=self.username, password=self.password)\\n story_resource_uri = '/api/0.1/stories/%s/' % story.story_id \\n # Confirm there are no sections\\n self.assertEqual(len(story.sections.all()), 0)\\n # Create a new section\\n sections_uri = \\\"%ssections/\\\" % (story_resource_uri)\\n response = self.api_client.post(sections_uri,\\n format='json', data=section_post_data)\\n self.assertHttpUnauthorized(response)\\n self.assertEqual(len(story.sections.all()), 0)\",\n \"def test_create_post(self):\\n with self.client:\\n result = self.client.post('/users/spike-test/posts', data={\\n \\\"post-title\\\": \\\"autotest title\\\",\\n \\\"post-content\\\": \\\"autotest content for blog post testing\\\"\\n }, follow_redirects=True)\\n self.assertEqual(result.status_code, 200)\\n self.assertIn(b'autotest title', result.data)\",\n \"def test_perform_create(self):\\n\\n response = self.client.post(reverse('action-list'), data=self.data)\\n self.assertEqual(response.status_code, status.HTTP_201_CREATED)\\n self.assertEqual(response.data['name'], self.data['name'])\\n self.assertTrue(len(response.data['institution']), self.data['institution'])\",\n \"def test_create_collection(self):\\n pass\",\n \"def test_collection_viewset_create_as_normal_user(post_data, logged_in_apiclient):\\n client, _ = logged_in_apiclient\\n url = reverse(\\\"models-api:collection-list\\\")\\n result = client.post(url, post_data, format=\\\"json\\\")\\n assert result.status_code == status.HTTP_403_FORBIDDEN\",\n \"def setUp(self):\\n self.client = Client()\\n #creamos un usuario en la db\\n self.user = User.objects.create_user('super', 'lennon@thebeatles.com', 'super')\",\n \"def setUp(self):\\n\\n self.new_user = User(username=\\\"john\\\", email=\\\"john@gmail.com\\\", pass_secure=\\\"trial1\\\")\\n\\n self.new_blog = Blog(title=\\\"business blog\\\", description=\\\"asdfghjkl\\\")\",\n \"def test_create_user(self):\\n data = {\\n 'username': 'foobar',\\n 'email': 'foobar@example.com',\\n 'password': 'somepassword'\\n }\\n\\n request = self.factory.post(self.create_url, data, format='json')\\n view = UserViewSet.as_view({\\\"post\\\": \\\"create\\\"})\\n response = view(request)\\n self.assertEqual(User.objects.count(), 2)\\n self.assertEqual(response.status_code, status.HTTP_201_CREATED)\\n self.assertEqual(response.data['username'], data['username'])\\n self.assertEqual(response.data['email'], data['email'])\\n self.assertFalse('password' in response.data)\",\n \"def testcreatelist(self):\\n rv = self.app.get('/createcategory')\\n self.assertEqual(rv.status_code, 302, \\\"createlist page should not load unless signed in\\\")\",\n \"def test_create_task_view(self):\\n create_task_url = reverse('create_task')\\n response = self.client.get(create_task_url)\\n self.assertEqual(response.status_code, 200)\\n self.assertTemplateUsed(response, 'tasks/task_form.html')\\n user = User.objects.get(username='ragsagar')\\n data = {\\n 'title': 'Test task 2',\\n 'priority': 1,\\n 'module': 'HRMS',\\n 'due_date': datetime.date(2014, 4, 5),\\n 'type': 1,\\n 'description': 'This is a description',\\n 'assigned_user_id': user.pk,\\n }\\n old_count = Task.objects.all().count()\\n response = self.client.post(create_task_url, data)\\n self.assertEqual(response.status_code, 302)\\n self.assertEqual(Task.objects.all().count(), old_count+1)\",\n \"def test_shoppingitems_creation(self):\\n # register and login a user\\n self.app.post('/register', data=self.user_reg_details)\\n self.app.post('/login', data=self.user_login_details)\\n # create a shopping list\\n self.shopping_class_obj.create_list(\\n 'Easter', 'maina@gmail.com')\\n # make a post request to add an item\\n res = self.app.post(\\n '/shoppingitems/Easter', data={'item-name': 'Bread'})\\n self.assertEqual(res.status_code, 200)\\n response = self.item_class_obj.add_item(\\n 'Easter', 'Bread', 'maina@gmail.com')\\n self.assertIsInstance(response, list)\\n # check if item was successfully created\\n self.assertIn(\\\"Bread\\\", str(res.data))\",\n \"def test_add_new_post(self):\\n with self.client:\\n self.client.post(\\n url_for('login'), \\n data=dict(\\n email='admin@admin.com',\\n password='admin2016'\\n ),\\n follow_redirects=True\\n )\\n response = self.client.post(\\n url_for('post'),\\n data=dict(\\n title=\\\"Test Title\\\",\\n content=\\\"Test Content\\\"\\n ),\\n follow_redirects=True\\n )\\n self.assertIn(b'Test Title', response.data)\",\n \"def test_model_can_create_an_article(self):\\n response = CreateArticle().create_article()\\n self.assertTrue(isinstance(response, Article))\",\n \"def test_post_user_post(self):\\n pass\",\n \"def test_api_can_create_users(self):\\n res = self.client().post('/api/v1/user/', data = self.req)\\n self.assertEquals(res.status_code, 200)\\n self.assertIn('mary', str(res.data))\",\n \"def setUp(self):\\n super().setUp()\\n\\n \\\"\\\"\\\"\\n Log in and register a new user.\\n Use this user's credentials to create an article. We will perform our\\n tests on this created article using the user set up in our base test.\\n \\\"\\\"\\\"\\n user_data = {\\n \\\"username\\\": \\\"new_user\\\",\\n \\\"email\\\": \\\"user@gmail.com\\\",\\n \\\"password\\\": \\\"kamila1990\\\",\\n }\\n \\\"\\\"\\\"Register user\\\"\\\"\\\"\\n self.client.post(self.registration_url, user_data,\\n format='json')\\n token = generate_jwt_token(user_data['username'])\\n\\n self.client.get(\\n reverse(\\\"authentication:activate_user\\\", args=[token]))\\n\\n \\\"\\\"\\\"Login the user\\\"\\\"\\\"\\n response = self.client.post(self.login_url, user_data,\\n format='json')\\n self.author_headers = {'HTTP_AUTHORIZATION': 'Bearer {}'.format(\\n response.data['token'])}\\n\\n \\\"\\\"\\\"Post an article\\\"\\\"\\\"\\n self.res = self.client.post(self.article_url, self.article_data,\\n format=\\\"json\\\", **self.author_headers)\\n\\n self.slug = self.res.data['slug']\\n\\n self.violate_max_value_error_message = \\\\\\n 'Ensure this value is less than or equal to 5.'\\n\\n self.violate_min_value_error_message = \\\\\\n 'Ensure this value is greater than or equal to 1.'\\n\\n self.violate_empty_value_error_message = \\\\\\n 'Please fill in the rating'\\n\\n self.non_existent_article_message = \\\\\\n 'That article does not exist'\\n\\n self.rate_own_article_error_message = \\\\\\n 'Sorry, but you cannot rate your own article.'\",\n \"def setUp(self):\\r\\n\\r\\n User.query.delete()\\r\\n Article.query.delete()\\r\\n db.session.commit()\\r\\n\\r\\n u = User(\\r\\n username=\\\"testuser\\\",\\r\\n password=\\\"HASHED_PASSWORD\\\",\\r\\n location=\\\"US-VA\\\"\\r\\n )\\r\\n\\r\\n db.session.add(u)\\r\\n db.session.commit()\\r\\n\\r\\n a = Article(\\r\\n path='testPath',\\r\\n url='https://wwww.testurl.com',\\r\\n location=\\\"US\\\",\\r\\n title=\\\"testTitle\\\",\\r\\n excerpt=\\\"testExcerpt\\\",\\r\\n image=\\\"https://www.testurl.com/testimg.jpg\\\",\\r\\n source=\\\"testSource\\\",\\r\\n published_date=\\\"2020-04-25 05:06:00\\\",\\r\\n saved_by=u.id\\r\\n )\\r\\n\\r\\n db.session.add(a)\\r\\n db.session.commit()\\r\\n\\r\\n self.client = app.test_client()\\r\\n app.config['TESTING'] = True\\r\\n app.config['WTF_CSRF_ENABLED'] = False\",\n \"def test_movies_limited_to_user(self):\\n user2 = get_user_model().objects.create_user(\\n 'other@youremail.com',\\n 'pass123'\\n )\\n sample_movie(user=user2)\\n sample_movie(user=self.user)\\n\\n res = self.client.get(MOVIES_URL)\\n\\n movies = Movie.objects.filter(user=self.user)\\n serializer = MovieSerializer(movies, many=True)\\n self.assertEqual(res.status_code, status.HTTP_200_OK)\\n self.assertEqual(len(res.data), 1)\\n self.assertEqual(res.data, serializer.data)\",\n \"def test_add_user(self):\\n pass\",\n \"def setUp(self):\\n user = User.objects.create(username=\\\"nerd\\\")\\n self.client = APIClient()\\n self.client.force_authenticate(user=user)\\n self.post_data = {'name':'Go to Ibiza', 'owner': user.id}\\n self.response = self.client.post(\\n reverse('create'),\\n self.post_data,\\n format=\\\"json\\\")\",\n \"def test_create_successful(self):\\n self.webkom.add_user(self.disallowed_user)\\n request = self.factory.post(\\\"/permissiontest/\\\", self.test_update_object)\\n force_authenticate(request, self.disallowed_user)\\n view = TestViewSet.as_view({\\\"post\\\": \\\"create\\\"})\\n\\n response = view(request)\\n created = response.data\\n\\n self.assertEqual(response.status_code, status.HTTP_201_CREATED)\\n self.assertEqual(created[\\\"name\\\"], self.test_update_object[\\\"name\\\"])\",\n \"def test_blog_add():\",\n \"def test_create__normal_valid(self):\\n testing_config.sign_in('admin@example.com', 123567890)\\n\\n json_data = {\\n 'email': 'new_user@example.com',\\n 'isAdmin': False, 'isSiteEditor': False}\\n with test_app.test_request_context(self.request_path, json=json_data):\\n actual_json = self.handler.do_post()\\n self.assertEqual('new_user@example.com', actual_json['email'])\\n self.assertFalse(actual_json['is_site_editor'])\\n self.assertFalse(actual_json['is_admin'])\\n\\n new_appuser = (user_models.AppUser.query(\\n user_models.AppUser.email == 'new_user@example.com').get())\\n result_email = new_appuser.email\\n result_is_admin = new_appuser.is_admin\\n new_appuser.key.delete()\\n self.assertEqual('new_user@example.com', result_email)\\n self.assertFalse(result_is_admin)\",\n \"def test_api_can_create_a_post(self):\\n self.assertEqual(self.response.status_code, status.HTTP_201_CREATED)\",\n \"def test_supeuser_create_log(self):\\n user = SuperUserFactory.create()\\n self.request.user = user\\n user_logged_in.send(\\n sender=user.__class__,\\n request=self.request,\\n user=user,\\n )\\n\\n self.assertTrue(LogEntry.objects.get())\",\n \"def test_user_create(self):\\n user_count = User.objects.count()\\n user = User.objects.create_user(email='test@test.com', password='test')\\n self.assertTrue(User.objects.count() == user_count + 1)\\n self.assertFalse(user.is_staff)\\n self.assertFalse(user.is_superuser)\\n with self.assertRaises(ValueError, msg='The email must be provided'):\\n User.objects.create_user(email='', password='test')\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.6971999","0.6795873","0.67656213","0.6726738","0.67258906","0.67142934","0.66693985","0.66526544","0.6627908","0.6612012","0.6514119","0.65005606","0.64833426","0.6468198","0.64452285","0.6442098","0.64234686","0.6410922","0.6403401","0.63442045","0.6342828","0.63425416","0.63302714","0.6321288","0.6308394","0.63011754","0.62974524","0.629574","0.6292525","0.6292525","0.62904084","0.628739","0.62868816","0.62683547","0.626537","0.6237731","0.62261885","0.6219745","0.62164825","0.62061596","0.6199686","0.61968225","0.619604","0.6183353","0.6182101","0.6181138","0.61787254","0.61751735","0.6160557","0.61583287","0.6156706","0.6155124","0.61533993","0.61533993","0.61533993","0.61421746","0.6140963","0.613265","0.6132077","0.61274713","0.6121374","0.6118141","0.61127883","0.6108506","0.61042035","0.60933083","0.6091224","0.6083332","0.60795426","0.6075548","0.60725445","0.6063829","0.60541326","0.605268","0.6051617","0.6029579","0.6028994","0.60225326","0.6009889","0.600868","0.6007988","0.6007227","0.60070467","0.5992462","0.5986269","0.59844154","0.5980354","0.5979778","0.5976178","0.59685445","0.59674233","0.59669954","0.59559584","0.5953683","0.5951568","0.5949774","0.5946443","0.5938986","0.5934133","0.59303033","0.59292394"],"string":"[\n \"0.6971999\",\n \"0.6795873\",\n \"0.67656213\",\n \"0.6726738\",\n \"0.67258906\",\n \"0.67142934\",\n \"0.66693985\",\n \"0.66526544\",\n \"0.6627908\",\n \"0.6612012\",\n \"0.6514119\",\n \"0.65005606\",\n \"0.64833426\",\n \"0.6468198\",\n \"0.64452285\",\n \"0.6442098\",\n \"0.64234686\",\n \"0.6410922\",\n \"0.6403401\",\n \"0.63442045\",\n \"0.6342828\",\n \"0.63425416\",\n \"0.63302714\",\n \"0.6321288\",\n \"0.6308394\",\n \"0.63011754\",\n \"0.62974524\",\n \"0.629574\",\n \"0.6292525\",\n \"0.6292525\",\n \"0.62904084\",\n \"0.628739\",\n \"0.62868816\",\n \"0.62683547\",\n \"0.626537\",\n \"0.6237731\",\n \"0.62261885\",\n \"0.6219745\",\n \"0.62164825\",\n \"0.62061596\",\n \"0.6199686\",\n \"0.61968225\",\n \"0.619604\",\n \"0.6183353\",\n \"0.6182101\",\n \"0.6181138\",\n \"0.61787254\",\n \"0.61751735\",\n \"0.6160557\",\n \"0.61583287\",\n \"0.6156706\",\n \"0.6155124\",\n \"0.61533993\",\n \"0.61533993\",\n \"0.61533993\",\n \"0.61421746\",\n \"0.6140963\",\n \"0.613265\",\n \"0.6132077\",\n \"0.61274713\",\n \"0.6121374\",\n \"0.6118141\",\n \"0.61127883\",\n \"0.6108506\",\n \"0.61042035\",\n \"0.60933083\",\n \"0.6091224\",\n \"0.6083332\",\n \"0.60795426\",\n \"0.6075548\",\n \"0.60725445\",\n \"0.6063829\",\n \"0.60541326\",\n \"0.605268\",\n \"0.6051617\",\n \"0.6029579\",\n \"0.6028994\",\n \"0.60225326\",\n \"0.6009889\",\n \"0.600868\",\n \"0.6007988\",\n \"0.6007227\",\n \"0.60070467\",\n \"0.5992462\",\n \"0.5986269\",\n \"0.59844154\",\n \"0.5980354\",\n \"0.5979778\",\n \"0.5976178\",\n \"0.59685445\",\n \"0.59674233\",\n \"0.59669954\",\n \"0.59559584\",\n \"0.5953683\",\n \"0.5951568\",\n \"0.5949774\",\n \"0.5946443\",\n \"0.5938986\",\n \"0.5934133\",\n \"0.59303033\",\n \"0.59292394\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":86772,"cells":{"query":{"kind":"string","value":"Test user can not edit without permission"},"document":{"kind":"string","value":"def test_no_permission(self):\n self.assertStatusCode(self.url, 403)"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def test_only_edit_perm(self):\n self.assertStatusCode(self.url, 403)","def test_handle_edit_not_admin(self):\n test_user = User(\"userid\")\n team = Team(\"BRS\", \"brs\", \"brS\")\n self.db.retrieve.return_value = test_user\n self.db.query.return_value = [team]\n with self.app.app_context():\n self.assertTupleEqual(self.testcommand.handle(\"team \"\n \"edit brs\", user),\n (self.testcommand.permission_error, 200))\n self.db.store.assert_not_called()","def user_can_edit(self, user):\n return user == self.owner","def allow_to_edit(user):\n return allow_to_edit_well(user)","def test_user_can_change_admin(self):\n self.assertTrue(self.story.user_can_change(self.admin_user))","def testMemberCanEdit(self):\n self.client.login(username=\"admin\", password=\"test\")\n response = self.client.get(reverse(\"task_detail\", args=[1]))\n self.failUnlessEqual(response.status_code, 200)\n self.failUnless(response.content.find(\"<h2>Edit</h2>\") != -1,\n \"Authenticated users cannot edit tasks.\")\n self.client.logout()","def test_change_permission(self):\r\n self.assertTrue(self.creator_admin.has_change_permission(self.request))\r\n\r\n self.request.user = self.user\r\n self.assertFalse(self.creator_admin.has_change_permission(self.request))","def test_user_can_change_superuser(self):\n self.assertTrue(self.story.user_can_change(self.superuser))","def test_user_can_change_not_author(self):\n self.assertFalse(self.story.user_can_change(self.user2))","def can_edit_or_403(self, user):\n if user.id != self.game_master.id:\n raise PermissionDenied\n return True","def test_admin(self):\r\n \r\n self.assertEqual(False, self.user.isAdmin)","def test_user_without_share(self):\n set_permission(Permission.EDIT, self.user1, self.collection)\n\n # Can not add permissions to users.\n data = {\"users\": {self.user2.pk: \"view\"}}\n resp = self._detail_permissions(self.collection.pk, data, self.user1)\n self.assertEqual(resp.status_code, status.HTTP_403_FORBIDDEN)\n\n # Can not add permissions to groups.\n data = {\"users\": {self.group.pk: \"view\"}}\n resp = self._detail_permissions(self.collection.pk, data, self.user1)\n self.assertEqual(resp.status_code, status.HTTP_403_FORBIDDEN)","def test_has_perm_or_owns_thread_edit(self):\n me = User.objects.get(pk=118533)\n my_t = Thread.objects.filter(creator=me)[0]\n other_t = Thread.objects.exclude(creator=me)[0]\n self.context['request'].user = me\n perm = 'forums_forum.thread_edit_forum'\n allowed = has_perm_or_owns(self.context, perm, my_t, self.forum_1)\n eq_(allowed, True)\n allowed = has_perm_or_owns(self.context, perm, other_t, self.forum_1)\n eq_(allowed, False)","def can_edit_or_403(self, user):\n if self.get_permission_level(user) < self.OWNER_PERMISSION:\n raise PermissionDenied\n return True","def testAnonymousCannotEdit(self):\n response = self.client.get(reverse(\"task_detail\", args=[1]))\n self.failUnlessEqual(response.status_code, 200)\n self.failUnless(response.content.find(\"<h2>Edit</h2>\") == -1,\n \"Anonymous user is able to edit tasks.\")","def test_has_perm_thread_edit(self):\n self.context['request'].user = User.objects.get(pk=47963)\n allowed = has_perm(self.context, 'forums_forum.thread_edit_forum',\n self.forum_1)\n eq_(allowed, True)\n allowed = has_perm(self.context, 'forums_forum.thread_edit_forum',\n self.forum_2)\n eq_(allowed, False)","def can_edit(self, user):\n return self.author_id == user.id or user.is_staff","def test_has_perm_post_edit(self):\n self.context['request'].user = User.objects.get(pk=47963)\n allowed = has_perm(self.context, 'forums_forum.post_edit_forum',\n self.forum_1)\n eq_(allowed, True)\n allowed = has_perm(self.context, 'forums_forum.post_edit_forum',\n self.forum_2)\n eq_(allowed, False)","def can_be_edited(self, user):\n return (self.is_public or user == self.owner or\n user in list(self.auth_users.all()))","async def check_can_edit_user(\n authorization_client: AuthorizationClient, req_user_id: str, user_id: str\n):\n admin_tuple, req_admin_tuple = await asyncio.gather(\n authorization_client.get_administrator(user_id),\n authorization_client.get_administrator(req_user_id),\n )\n\n if admin_tuple[1] is None:\n return True\n\n if req_admin_tuple[1] == AdministratorRole.FULL:\n return True\n\n return False","def can_edit_user(user):\n\tu = current_user._get_current_object()\n\treturn u==user or u.is_admin()","def edit_allowed(self):\n account = Account.current_user_account\n if account is None:\n return False\n return self.user_can_edit(account.user)","def test_func(self, user):\n return self.get_object().admin == user","def test_allowed_if_superuser(self):\n\n @task_or_superuser_only\n def view(request):\n return HttpResponse(\"Hello\")\n\n class User(object):\n is_superuser = True\n is_authenticated = True\n\n request = self.factory.get(\"/\")\n request.user = None\n response = view(request)\n self.assertEqual(response.status_code, 403)\n\n request.user = User()\n response = view(request)\n self.assertEqual(response.status_code, 200)","def test_add_permission(self):\r\n self.assertFalse(self.creator_admin.has_add_permission(self.request))","def test_none_admin_edit(self):\n\n with self.client:\n token = self.customer()\n id = 1\n response = self.client.put('api/v1/meals/{}'.format(id),\n data=json.dumps(dict(\n meal_name=\"chips\",\n price=15000\n )),\n content_type='application/json',\n headers=({\"token\": token}))\n data = json.loads(response.data.decode())\n self.assertEqual(data.get('message'),\n \"Customer is not authorized to access this page\")\n self.assertEqual(response.status_code, 401)","def test_func(self):\n return self.request.user.is_superuser","def test_review_story_restrict_to_only_admin(self):\n self.client.post('/api/stories', headers={'token': user_token}, data=json.dumps(story1))\n res = self.client.put('/api/stories/1/review', headers={'token': user_token}, data=json.dumps({\n 'status': 'Approved'\n }))\n result = json.loads(res.data.decode())\n self.assertEqual(result['message'], 'Permission denied')\n self.assertEqual(res.status_code, 403)","def test_func(self):\n return self.request.user.has_permission(\"core.view_staffer\")","def test_that_a_user_cannot_edit_another_users_profile(self):\n self.authorize_user(self.user_login_details)\n self.register_user(self.user2)\n url = self.profiles_url + \\\n '{}'.format(self.user2['user']['username']) + \"/\"\n response = self.client.patch(url, data=self.user_bio)\n message = \"You don't have permission to edit this profile\"\n self.assertEqual(response.data['message'], message)\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)","def test_edit_user_enable_permit_sudo(driver):\n pass","def test_post_update_unauthorized(self):\n url = reverse('post-detail', kwargs={'pk': self.post.id})\n user_url = reverse('user-detail', kwargs={'pk': self.superuser.id})\n title = 'Random New Title'\n body = 'Random New Body'\n response = self.client.put(url, {'title': title, 'body': body, 'user': user_url}, format='json')\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)","def test_has_perm_change(self):\n perm = \"change\"\n self.assertTrue(self.story.has_perm(self.user1, perm))\n self.assertFalse(self.story.has_perm(self.user2, perm))","def test_admin_update_user_taskrun(self):\r\n\r\n with self.flask_app.test_request_context('/'):\r\n user_taskrun = TaskRunFactory.create()\r\n\r\n assert self.mock_admin.id != user_taskrun.user.id\r\n assert_raises(Forbidden,\r\n getattr(require, 'taskrun').update,\r\n user_taskrun)","def test_user_can_change_as_author(self):\n self.assertTrue(self.story.user_can_change(self.user1))","def write_authorize(cls, user, obj):\n if not cls._meta.model.published_where_is_examiner(user).filter(id=obj.id):\n raise PermissionDenied()\n if obj.id == None:\n raise PermissionDenied() # We only allow update","def test_post_update_regular_user(self):\n url = reverse('post-detail', kwargs={'pk': self.post.id})\n user_url = reverse('user-detail', kwargs={'pk': self.superuser.id})\n self.client.force_authenticate(user=self.user)\n title = 'Random New Title'\n body = 'Random New Body'\n response = self.client.put(url, {'title': title, 'body': body, 'user': user_url}, format='json')\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)","def test_user(self):\n return True","def test_util_has_perm_or_owns_sanity(self):\n me = User.objects.get(pk=118533)\n my_t = Thread.objects.filter(creator=me)[0]\n other_t = Thread.objects.exclude(creator=me)[0]\n perm = 'forums_forum.thread_edit_forum'\n allowed = access.has_perm_or_owns(me, perm, my_t, self.forum_1)\n eq_(allowed, True)\n allowed = access.has_perm_or_owns(me, perm, other_t, self.forum_1)\n eq_(allowed, False)","def test_readonly_user(self):\n\n self.user = self.make_user()\n\n ma = EmployeeAdmin(model=Employee, admin_site=None)\n\n self.assertEqual(\n hasattr(self.user, 'employee'),\n False\n )\n # since there is no atribute employee in self user, we\n # can assume that obj=None\n self.assertEqual(\n list(ma.get_readonly_fields(self, obj=None)),\n []\n )\n\n self.employee = Employee.objects.create(\n cpf=\"974.220.200-16\",\n user=self.user,\n departament=Employee.ADMINISTRATION\n )\n\n self.assertEqual(\n hasattr(self.user, 'employee'),\n True\n )\n\n ma1 = EmployeeAdmin(model=Employee, admin_site=None)\n self.assertEqual(\n list(ma1.get_readonly_fields(self, obj=self.user.employee)),\n ['user']\n )","def test_comment_permission(self):\n\n self.factory.force_authenticate(user=self.admin)\n response = self.factory.put(self.comment_update_url, {'comment': \"bbbb\"}, format='json')\n self.assertNotEqual(\"bbbb\", response.data.get('comment'))","def can_user_edit(self, user):\n\n return user.is_authenticated and (\n user.has_role('admin') or\n unicode(self.user_id) == user.get_id()\n )","def test_public_user(self):\n set_permission(Permission.SHARE, self.user1, self.collection)\n\n data = {\"public\": \"view\"}\n resp = self._detail_permissions(self.collection.pk, data, self.user1)\n self.assertEqual(resp.status_code, status.HTTP_200_OK)\n\n data = {\"public\": \"none\"}\n resp = self._detail_permissions(self.collection.pk, data, self.user1)\n self.assertEqual(resp.status_code, status.HTTP_200_OK)\n\n data = {\"public\": \"edit\"}\n resp = self._detail_permissions(self.collection.pk, data, self.user1)\n self.assertEqual(resp.status_code, status.HTTP_403_FORBIDDEN)\n\n data = {\"public\": \"share\"}\n resp = self._detail_permissions(self.collection.pk, data, self.user1)\n self.assertEqual(resp.status_code, status.HTTP_403_FORBIDDEN)\n\n data = {\"public\": \"owner\"}\n resp = self._detail_permissions(self.collection.pk, data, self.user1)\n self.assertEqual(resp.status_code, status.HTTP_403_FORBIDDEN)","def test_not_creator_cannot_update(self):\n\n logged_user = utils.create_user_and_authenticate(self)\n self.group.users.add(logged_user)\n expected_url = reverse('my_groups_view')\n\n utils.test_cannot_access(self, self.url,\n expected_url=expected_url,\n data=self.data)","def test_no_permissions(self):\n\n login(self.client)\n\n client = create_client('test')\n client.write_access = False\n client.save()\n response = self.client.post('/backend/u/conc/', {'client': 'test', 'id': 3})\n self.assertEqual(response.status_code, 200)\n self.assertEqual('Permission not granted', response.content.decode('utf-8'))","def test_edit_category_with_wrong_perms(self):\n self.client.login(username='hodor', password='hodor')\n Perms.objects.create(user=self.user, access_level=4).save()\n response = self.client.post('/categories/edit/%d' % self.category1.id, {}, follow=True)\n self.assertTemplateUsed(response, 'unauthorized.html')","def test_edit_object_with_require_auth_false(self):\n self.test_object.require_auth = False\n self.test_object.save()\n response = self.client.put(\n f\"/permissiontest/{self.test_object.id}/\", self.test_update_object\n )\n self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)","def test_non_admin_login(self):\n self.request.user.is_active = True\n self.request.user.is_registered = True\n self.request.user.is_superuser = False\n self.request.user.is_staff = False\n nt.assert_equal(self.view.test_func(), False)","def test_non_admin_login(self):\n self.request.user.is_active = True\n self.request.user.is_registered = True\n self.request.user.is_superuser = False\n self.request.user.is_staff = False\n nt.assert_equal(self.view.test_func(), False)","def test_non_admin_login(self):\n self.request.user.is_active = True\n self.request.user.is_registered = True\n self.request.user.is_superuser = False\n self.request.user.is_staff = False\n nt.assert_equal(self.view.test_func(), False)","def test_non_admin_login(self):\n self.request.user.is_active = True\n self.request.user.is_registered = True\n self.request.user.is_superuser = False\n self.request.user.is_staff = False\n nt.assert_equal(self.view.test_func(), False)","def test_permissions(self):\n self.assert_('admin' in get_model_perms(Group))","def raise_not_editable(self, viewer):\n if viewer.has_perm(\"bookwyrm.edit_instance_settings\"):\n return\n raise PermissionDenied()","def test_requester_is_no_admin(self) -> None:\n\n channel = self.make_request(\n \"GET\",\n self.url,\n access_token=self.other_user_tok,\n )\n\n self.assertEqual(403, channel.code, msg=channel.json_body)\n self.assertEqual(Codes.FORBIDDEN, channel.json_body[\"errcode\"])","def test_requester_is_no_admin(self) -> None:\n\n channel = self.make_request(\n \"GET\",\n self.url,\n access_token=self.other_user_tok,\n )\n\n self.assertEqual(403, channel.code, msg=channel.json_body)\n self.assertEqual(Codes.FORBIDDEN, channel.json_body[\"errcode\"])","def can_edit(self, user, user_is_admin=False):\r\n if user is None or isinstance(user, FakeAccount):\r\n return False\r\n elif user_is_admin or self.author_id == user._id:\r\n return True\r\n elif Subreddit._by_name('discussion').is_editor(user):\r\n return True\r\n else:\r\n return False","def test_admin_accessible(self) -> None:\n response = self.client.get(\"/admin/\")\n self.assertEqual(200, response.status_code)","def test_modify_access_revoke_not_allowed(self):\r\n url = reverse('modify_access', kwargs={'course_id': self.course.id.to_deprecated_string()})\r\n response = self.client.get(url, {\r\n 'unique_student_identifier': self.other_staff.email,\r\n 'rolename': 'instructor',\r\n 'action': 'revoke',\r\n })\r\n self.assertEqual(response.status_code, 200)","def test_filter_owner_permission(self):\n User = get_user_model()\n user1 = User.objects.create(username=\"test_user1\", email=\"user1@test.com\")\n obj = DescriptorSchema.objects.create(contributor=user1)\n obj.set_permission(Permission.VIEW, user1)\n\n data_template = {\n \"users\": {user1.id: \"view\"},\n \"groups\": {1: \"edit\", 2: \"NONE\"},\n }\n\n check_owner_permission(data_template, False, obj)\n\n # Check that only owner can set owner permission.\n data = deepcopy(data_template)\n data[\"users\"][1] = \"owner\"\n with self.assertRaises(exceptions.PermissionDenied):\n check_owner_permission(data, False, obj)\n check_owner_permission(data, True, obj)\n\n # Check that only owner can rewoke owner permission.\n obj.set_permission(Permission.OWNER, user1)\n data = deepcopy(data_template)\n data[\"users\"][1] = \"edit\"\n with self.assertRaises(exceptions.PermissionDenied):\n check_owner_permission(data, False, obj)\n check_owner_permission(data, True, obj)\n\n # Check that group can not be owner.\n obj.set_permission(Permission.VIEW, user1)\n data = deepcopy(data_template)\n data[\"groups\"][1] = \"owner\"\n with self.assertRaises(exceptions.ParseError):\n check_owner_permission(data, False, obj)\n with self.assertRaises(exceptions.ParseError):\n check_owner_permission(data, True, obj)","def test_update_by_non_owner(self):\n # User 1\n saved1 = self.create_article()\n article_url = saved1[0]\n # get user2 details\n token = self.create_article_user2()\n response = self.test_client.put(article_url,self.article_update_data, format='json', HTTP_AUTHORIZATION=token)\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)","def test_admin_get(self, *args, **kwargs):\n self.request.user.is_active = True\n self.request.user.is_registered = True\n self.request.user.is_superuser = False\n self.request.user.is_staff = True\n res = self.view.get(self.request, *args, **kwargs)\n nt.assert_equal(res.status_code, 200)","def test_admin_get(self, *args, **kwargs):\n self.request.user.is_active = True\n self.request.user.is_registered = True\n self.request.user.is_superuser = False\n self.request.user.is_staff = True\n res = self.view.get(self.request, *args, **kwargs)\n nt.assert_equal(res.status_code, 200)","def test_modify_access_bad_role(self):\r\n url = reverse('modify_access', kwargs={'course_id': self.course.id.to_deprecated_string()})\r\n response = self.client.get(url, {\r\n 'unique_student_identifier': self.other_staff.email,\r\n 'rolename': 'robot-not-a-roll',\r\n 'action': 'revoke',\r\n })\r\n self.assertEqual(response.status_code, 400)","def testOwnershipAfterEdit(self):\n self.simulateATGUIInteraction(task='edit')\n self.failUnlessEqual(self.person.getOwnerTuple()[1], 'abc123')","def test_staff_permission_required(self):\r\n with self.assertRaises(PermissionDenied):\r\n add_user_with_status_granted(self.user, self.user)\r\n\r\n with self.assertRaises(PermissionDenied):\r\n update_course_creator_group(self.user, self.user, True)","def test_admin_login(self):\n self.request.user.is_active = True\n self.request.user.is_registered = True\n self.request.user.is_superuser = False\n self.request.user.is_staff = True\n nt.assert_true(self.view.test_func())","def test_admin_login(self):\n self.request.user.is_active = True\n self.request.user.is_registered = True\n self.request.user.is_superuser = False\n self.request.user.is_staff = True\n nt.assert_true(self.view.test_func())","def test_admin_login(self):\n self.request.user.is_active = True\n self.request.user.is_registered = True\n self.request.user.is_superuser = False\n self.request.user.is_staff = True\n nt.assert_true(self.view.test_func())","def test_admin_login(self):\n self.request.user.is_active = True\n self.request.user.is_registered = True\n self.request.user.is_superuser = False\n self.request.user.is_staff = True\n nt.assert_true(self.view.test_func())","def test_access_negative(self, api):\n self.builder.add_user(api.get_user())\n r1 = api.access_user(api.get_user(), False)\n access_false = self.builder.get_access(api.get_user())\n self.builder.del_user(api.get_user())\n assert access_false == 0\n assert r1.status_code == 200","def test_user_update_permissions(self):\n userPK = User.objects.get(username='c2e1').pk\n url = reverse('User-detail', kwargs={'pk': userPK})\n data = {'username': 'company1NewTest'}\n response = self.client.put(url, data, format='json')\n #This is 404 instead of 403 because there is no way to view a company\n #that you arent an employee of.\n self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)\n self.assertNotEqual(User.objects.get(pk=userPK).username,\n 'company1NewTest')\n data = {'username': 'company1NewTest2'}\n response = self.client.patch(url, data, format='json')\n #This is 404 instead of 403 because there is no way to view a company\n #that you arent an employee of.\n self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)\n self.assertNotEqual(User.objects.get(pk=userPK).username,\n 'company1NewTest2')","def test_project_administrator(project):\n if is_server_administrator():\n return True\n if is_project_administrator(project):\n return True\n return False","def test_detail_not_contributor_forbidden(self):\n self.login(self.user1)\n resp = self.client.get(self.get_url(self.c2.pk))\n self.assert403(resp)","def test_only_add_perm(self):\n self.assertStatusCode(self.url, 403)","def test_not_creator_cannot_update_tab(self):\n\n logged_user = utils.create_user_and_authenticate(self)\n self.group.users.add(logged_user)\n expected_url = reverse('group_view', args=(self.group.pk,))\n\n utils.test_cannot_access(self, self.url, expected_url, self.data)","def test_owner_edit_assessment_invalid(self):\n req, resp = data.get_assessment(self.contract['id'])\n response = self.user_01.put(self.assessment_report_url, req)\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)","def test_detail_is_hacker_permission(self):\n self.user_1.username = 'pythonhacker'\n self.user_1.save()\n\n token = Token.objects.create(user=self.user_1)\n headers = {\n 'HTTP_AUTHORIZATION': 'Token ' + str(token)\n }\n response = self.client.get(\n '/api/products/{}/'.format(self.product_1.id), **headers)\n\n expected = {'detail': 'You do not have permission to perform this action.'}\n self.assertEqual(response.status_code, 403)\n self.assertEqual(response.json(), expected)","def test_edit_profile(self):\n \n LOGGER.debug(\"Test GET /rango/edit/ for anon user\")\n anon_edit_response = self.client.get('/rango/edit/')\n # redirected to login page\n self.assertEquals(302, anon_edit_response.status_code)\n self.assertRedirects(anon_edit_response, \"http://testserver/accounts/login/?next=/rango/edit/\")\n\n LOGGER.debug(\"Test GET /rango/edit/ for logged in user\")\n self.client.login(username='leothelion', password='rawr')\n logged_in_edit_response = self.client.get('/rango/edit/')\n self.assertContains(logged_in_edit_response, \"leo\")","def test_should_render_user_with_can_edit_reviewrequest(self) -> None:\n self.assertTrue(self.action.should_render(\n context=self._create_request_context(user=self.create_user())))","def test_username_is_writable_for_user_creation(self):\n request = Mock()\n assert 'username' not in self.admin.get_readonly_fields(request)","def test_delete_permission(self):\r\n self.assertFalse(self.creator_admin.has_delete_permission(self.request))","def test_mailpiece_put_permissions(self):\n userPK = User.objects.get(username='c2e1').pk\n mailPiecePK = MailPiece.objects.filter(user=userPK)[0].pk\n url = reverse('MailPiece-detail', kwargs={'pk': mailPiecePK})\n self.data['user'] = userPK\n response = self.client.put(url, self.data, format='json')\n #This is 404 instead of 403 because there is no way to view a mail piece\n #that you arent the user on.\n self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)\n self.assertNotEqual(MailPiece.objects.get(pk=mailPiecePK).user,\n self.data['user'])","def test_edition_of_other_users_aid(client, contributor):\n\n aid = AidFactory()\n form_url = reverse('aid_edit_view', args=[aid.slug])\n client.force_login(contributor)\n res = client.get(form_url)\n assert res.status_code == 404","def test_readonly_submit_row__without__read_only_permissions__for_superuser(\n self,\n ) -> None:\n user = User.objects.first()\n user.is_superuser = True # type: ignore\n user.save(update_fields=[\"is_superuser\"]) # type: ignore\n request: HttpRequest = HttpRequest()\n request.user = user # type: ignore\n context: RequestContext = RequestContext(\n request=request,\n dict_={\n \"user\": user,\n \"add\": True,\n \"change\": True,\n \"is_popup\": False,\n \"save_as\": True,\n \"has_add_permission\": True,\n \"has_change_permission\": True,\n \"has_view_permission\": True,\n \"has_editable_inline_admin_formsets\": False,\n \"has_delete_permission\": True,\n \"opts\": \"auth.user\",\n \"request\": request,\n },\n )\n result: Context = readonly_submit_row(context=context)\n\n self.assertTrue(expr=result[\"show_delete_link\"])\n self.assertTrue(expr=result[\"show_save_and_add_another\"])\n self.assertTrue(expr=result[\"show_save_and_continue\"])\n self.assertTrue(expr=result[\"show_save\"])","def test__user_passed_as_none(self):\r\n access.has_access(None, 'staff', 'global', None)","def test_user_can_change_inactive(self):\n self.assertTrue(self.story.user_can_change(self.user1))\n self.user1.is_active = False \n self.assertFalse(self.story.user_can_change(self.user1))","def test_remove_is_staff(self):\n self.user.is_staff = False\n self.user.save()\n self.user.refresh_from_db()\n response = self.client.get(self.get_url())\n self.assertEqual(response.status_code, 403)","def test_remove_is_staff(self):\n self.user.is_staff = False\n self.user.save()\n self.user.refresh_from_db()\n response = self.client.get(self.get_url())\n self.assertEqual(response.status_code, 403)","def test_remove_is_staff(self):\n self.user.is_staff = False\n self.user.save()\n self.user.refresh_from_db()\n response = self.client.get(self.get_url())\n self.assertEqual(response.status_code, 403)","def _testIdWriteAccess(self):\n from Products.CMFCore.utils import getToolByName\n mt = getToolByName(self.portal, 'portal_membership')\n user = mt.getAuthenticatedMember()\n perm = self.person.schema.get('id').write_permission\n return user.checkPermission(perm, self.person)","def can_edit(self, user):\n if user.has_perm('funding.make_application_decisions'):\n # Funding manager can update things later, if required\n return True\n # Applicants can only edit the application before the final review step\n if self.status in ('S', 'U'):\n if self.applicant == user:\n return True\n return False","def soft_assert_role_cannot_be_edited(soft_assert, obj):\n info_widget = factory.get_cls_webui_service(\n objects.get_plural(obj.type))().open_info_page_of_obj(obj)\n role_field_element = info_widget.role_to_edit\n role_field_element.inline_edit.open()\n # wait until new tab contains info page url\n _, new_tab = browsers.get_browser().windows()\n test_utils.wait_for(lambda: new_tab.url.endswith(url.Widget.INFO))\n soft_assert.expect(not role_field_element.add_person_text_field.exists,\n \"There should be no input field.\")","def can_edit(self):\n return self._can_edit","def test_user_invite_cant_edit_users(self):\n project = fake_clients.FakeProject(name=\"test_project\")\n\n setup_identity_cache(projects=[project])\n\n url = \"/v1/actions/InviteUser\"\n headers = {\n \"project_name\": \"test_project\",\n \"project_id\": project.id,\n \"roles\": \"project_admin,member,project_mod\",\n \"username\": \"user\",\n \"user_id\": \"test_user_id\",\n \"authenticated\": True,\n }\n data = {\n \"username\": \"new_user\",\n \"email\": \"new@example.com\",\n \"roles\": [\"member\"],\n \"project_id\": project.id,\n }\n response = self.client.post(url, data, format=\"json\", headers=headers)\n self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST)\n self.assertEqual(response.json(), {\"errors\": [\"actions invalid\"]})","def test_protect_owner(self):\n self.collection.set_permission(Permission.SHARE, self.user1)\n\n # User with share permission cannot grant ``owner`` permission\n data = {\"users\": {self.user2.pk: \"owner\"}}\n resp = self._detail_permissions(self.collection.pk, data, self.user1)\n self.assertEqual(resp.status_code, status.HTTP_403_FORBIDDEN)\n self.assertNotIn(\"owner\", self.collection.get_permissions(self.user2))\n self.assertFalse(PermissionModel.objects.filter(user=self.user2).exists())\n\n # User with share permission cannot revoke ``owner`` permission\n self.collection.set_permission(Permission.OWNER, self.user2)\n data = {\"users\": {self.user2.pk: \"editor\"}}\n resp = self._detail_permissions(self.collection.pk, data, self.user1)\n self.assertEqual(resp.status_code, status.HTTP_403_FORBIDDEN)\n self.assertEqual(\n self.collection.get_permissions(self.user2),\n [Permission.VIEW, Permission.EDIT, Permission.SHARE, Permission.OWNER],\n )\n self.collection.set_permission(Permission.NONE, self.user2)\n\n # Now let user1 be owner on collection.\n set_permission(Permission.OWNER, self.user1, self.collection)\n\n # ``owner`` permission cannot be assigned to a group\n data = {\"groups\": {self.group.pk: \"owner\"}}\n resp = self._detail_permissions(self.collection.pk, data, self.user1)\n self.assertEqual(resp.status_code, status.HTTP_400_BAD_REQUEST)\n self.assertFalse(PermissionModel.objects.filter(group=self.group).exists())\n\n # User with owner permission can grant ``owner`` permission\n data = {\"users\": {self.user2.pk: \"owner\"}}\n resp = self._detail_permissions(self.collection.pk, data, self.user1)\n self.assertEqual(resp.status_code, status.HTTP_200_OK)\n self.assertEqual(\n self.collection.get_permissions(self.user2),\n [Permission.VIEW, Permission.EDIT, Permission.SHARE, Permission.OWNER],\n )\n\n # User with owner permission can revoke ``owner`` permission\n data = {\"users\": {self.user2.pk: \"edit\"}}\n resp = self._detail_permissions(self.collection.pk, data, self.user1)\n self.assertEqual(resp.status_code, status.HTTP_200_OK)\n self.assertFalse(\n PermissionModel.objects.filter(\n user=self.user2, value=Permission.OWNER.value\n ).exists()\n )\n\n # User with owner permission cannot remove all owners\n data = {\"users\": {self.user1.pk: \"edit\", self.owner.pk: \"edit\"}}\n\n resp = self._detail_permissions(self.collection.pk, data, self.user1)\n self.assertEqual(resp.status_code, status.HTTP_400_BAD_REQUEST)\n self.assertEqual(resp.data[\"detail\"], \"Object must have at least one owner.\")\n\n owner_permissions = self.collection.permission_group.permissions.filter(\n value=Permission.OWNER.value\n )\n owner_count = owner_permissions.count()\n self.assertEqual(owner_count, 2)\n\n # User can delete his owner permission if there is at least one other owner\n self.assertTrue(owner_permissions.filter(user=self.user1).exists())\n data = {\"users\": {self.user1.pk: \"view\"}}\n resp = self._detail_permissions(self.collection.pk, data, self.user1)\n self.assertEqual(resp.status_code, status.HTTP_200_OK)\n self.assertFalse(owner_permissions.filter(user=self.user1.pk).exists())","def test_modify_access_bad_action(self):\r\n url = reverse('modify_access', kwargs={'course_id': self.course.id.to_deprecated_string()})\r\n response = self.client.get(url, {\r\n 'unique_student_identifier': self.other_staff.email,\r\n 'rolename': 'staff',\r\n 'action': 'robot-not-an-action',\r\n })\r\n self.assertEqual(response.status_code, 400)","def test_get_permissions(self):\n pass","def on_model_change(self, form, model, is_created):\n if not current_user.is_active or not current_user.is_authenticated:\n abort(403)\n elif is_created:\n if not user_has_permission(current_user, 'can_create','admins'):\n abort(403)\n else:\n if not user_has_permission(current_user, 'can_edit','admins'):\n abort(403)","def test_permissions(self):\n taxonomy = self.get_taxonomy()\n return True if self.request.user == taxonomy.author else taxonomy.public","def test_project_create_cant_edit_users_existing_user(self):\n user = fake_clients.FakeUser(name=\"test@example.com\")\n\n setup_identity_cache(users=[user])\n\n url = \"/v1/actions/CreateProjectAndUser\"\n data = {\"project_name\": \"test_project\", \"email\": \"test@example.com\"}\n response = self.client.post(url, data, format=\"json\")\n self.assertEqual(response.status_code, status.HTTP_202_ACCEPTED)\n self.assertEqual(response.json(), {\"notes\": [\"task created\"]})\n task = Task.objects.all()[0]\n action_models = task.actions\n actions = [act.get_action() for act in action_models]\n self.assertTrue(all([act.valid for act in actions]))","def test_func(self):\n answer = self.get_object()\n return True if self.request.user == answer.author or self.request.user.is_superuser else False"],"string":"[\n \"def test_only_edit_perm(self):\\n self.assertStatusCode(self.url, 403)\",\n \"def test_handle_edit_not_admin(self):\\n test_user = User(\\\"userid\\\")\\n team = Team(\\\"BRS\\\", \\\"brs\\\", \\\"brS\\\")\\n self.db.retrieve.return_value = test_user\\n self.db.query.return_value = [team]\\n with self.app.app_context():\\n self.assertTupleEqual(self.testcommand.handle(\\\"team \\\"\\n \\\"edit brs\\\", user),\\n (self.testcommand.permission_error, 200))\\n self.db.store.assert_not_called()\",\n \"def user_can_edit(self, user):\\n return user == self.owner\",\n \"def allow_to_edit(user):\\n return allow_to_edit_well(user)\",\n \"def test_user_can_change_admin(self):\\n self.assertTrue(self.story.user_can_change(self.admin_user))\",\n \"def testMemberCanEdit(self):\\n self.client.login(username=\\\"admin\\\", password=\\\"test\\\")\\n response = self.client.get(reverse(\\\"task_detail\\\", args=[1]))\\n self.failUnlessEqual(response.status_code, 200)\\n self.failUnless(response.content.find(\\\"<h2>Edit</h2>\\\") != -1,\\n \\\"Authenticated users cannot edit tasks.\\\")\\n self.client.logout()\",\n \"def test_change_permission(self):\\r\\n self.assertTrue(self.creator_admin.has_change_permission(self.request))\\r\\n\\r\\n self.request.user = self.user\\r\\n self.assertFalse(self.creator_admin.has_change_permission(self.request))\",\n \"def test_user_can_change_superuser(self):\\n self.assertTrue(self.story.user_can_change(self.superuser))\",\n \"def test_user_can_change_not_author(self):\\n self.assertFalse(self.story.user_can_change(self.user2))\",\n \"def can_edit_or_403(self, user):\\n if user.id != self.game_master.id:\\n raise PermissionDenied\\n return True\",\n \"def test_admin(self):\\r\\n \\r\\n self.assertEqual(False, self.user.isAdmin)\",\n \"def test_user_without_share(self):\\n set_permission(Permission.EDIT, self.user1, self.collection)\\n\\n # Can not add permissions to users.\\n data = {\\\"users\\\": {self.user2.pk: \\\"view\\\"}}\\n resp = self._detail_permissions(self.collection.pk, data, self.user1)\\n self.assertEqual(resp.status_code, status.HTTP_403_FORBIDDEN)\\n\\n # Can not add permissions to groups.\\n data = {\\\"users\\\": {self.group.pk: \\\"view\\\"}}\\n resp = self._detail_permissions(self.collection.pk, data, self.user1)\\n self.assertEqual(resp.status_code, status.HTTP_403_FORBIDDEN)\",\n \"def test_has_perm_or_owns_thread_edit(self):\\n me = User.objects.get(pk=118533)\\n my_t = Thread.objects.filter(creator=me)[0]\\n other_t = Thread.objects.exclude(creator=me)[0]\\n self.context['request'].user = me\\n perm = 'forums_forum.thread_edit_forum'\\n allowed = has_perm_or_owns(self.context, perm, my_t, self.forum_1)\\n eq_(allowed, True)\\n allowed = has_perm_or_owns(self.context, perm, other_t, self.forum_1)\\n eq_(allowed, False)\",\n \"def can_edit_or_403(self, user):\\n if self.get_permission_level(user) < self.OWNER_PERMISSION:\\n raise PermissionDenied\\n return True\",\n \"def testAnonymousCannotEdit(self):\\n response = self.client.get(reverse(\\\"task_detail\\\", args=[1]))\\n self.failUnlessEqual(response.status_code, 200)\\n self.failUnless(response.content.find(\\\"<h2>Edit</h2>\\\") == -1,\\n \\\"Anonymous user is able to edit tasks.\\\")\",\n \"def test_has_perm_thread_edit(self):\\n self.context['request'].user = User.objects.get(pk=47963)\\n allowed = has_perm(self.context, 'forums_forum.thread_edit_forum',\\n self.forum_1)\\n eq_(allowed, True)\\n allowed = has_perm(self.context, 'forums_forum.thread_edit_forum',\\n self.forum_2)\\n eq_(allowed, False)\",\n \"def can_edit(self, user):\\n return self.author_id == user.id or user.is_staff\",\n \"def test_has_perm_post_edit(self):\\n self.context['request'].user = User.objects.get(pk=47963)\\n allowed = has_perm(self.context, 'forums_forum.post_edit_forum',\\n self.forum_1)\\n eq_(allowed, True)\\n allowed = has_perm(self.context, 'forums_forum.post_edit_forum',\\n self.forum_2)\\n eq_(allowed, False)\",\n \"def can_be_edited(self, user):\\n return (self.is_public or user == self.owner or\\n user in list(self.auth_users.all()))\",\n \"async def check_can_edit_user(\\n authorization_client: AuthorizationClient, req_user_id: str, user_id: str\\n):\\n admin_tuple, req_admin_tuple = await asyncio.gather(\\n authorization_client.get_administrator(user_id),\\n authorization_client.get_administrator(req_user_id),\\n )\\n\\n if admin_tuple[1] is None:\\n return True\\n\\n if req_admin_tuple[1] == AdministratorRole.FULL:\\n return True\\n\\n return False\",\n \"def can_edit_user(user):\\n\\tu = current_user._get_current_object()\\n\\treturn u==user or u.is_admin()\",\n \"def edit_allowed(self):\\n account = Account.current_user_account\\n if account is None:\\n return False\\n return self.user_can_edit(account.user)\",\n \"def test_func(self, user):\\n return self.get_object().admin == user\",\n \"def test_allowed_if_superuser(self):\\n\\n @task_or_superuser_only\\n def view(request):\\n return HttpResponse(\\\"Hello\\\")\\n\\n class User(object):\\n is_superuser = True\\n is_authenticated = True\\n\\n request = self.factory.get(\\\"/\\\")\\n request.user = None\\n response = view(request)\\n self.assertEqual(response.status_code, 403)\\n\\n request.user = User()\\n response = view(request)\\n self.assertEqual(response.status_code, 200)\",\n \"def test_add_permission(self):\\r\\n self.assertFalse(self.creator_admin.has_add_permission(self.request))\",\n \"def test_none_admin_edit(self):\\n\\n with self.client:\\n token = self.customer()\\n id = 1\\n response = self.client.put('api/v1/meals/{}'.format(id),\\n data=json.dumps(dict(\\n meal_name=\\\"chips\\\",\\n price=15000\\n )),\\n content_type='application/json',\\n headers=({\\\"token\\\": token}))\\n data = json.loads(response.data.decode())\\n self.assertEqual(data.get('message'),\\n \\\"Customer is not authorized to access this page\\\")\\n self.assertEqual(response.status_code, 401)\",\n \"def test_func(self):\\n return self.request.user.is_superuser\",\n \"def test_review_story_restrict_to_only_admin(self):\\n self.client.post('/api/stories', headers={'token': user_token}, data=json.dumps(story1))\\n res = self.client.put('/api/stories/1/review', headers={'token': user_token}, data=json.dumps({\\n 'status': 'Approved'\\n }))\\n result = json.loads(res.data.decode())\\n self.assertEqual(result['message'], 'Permission denied')\\n self.assertEqual(res.status_code, 403)\",\n \"def test_func(self):\\n return self.request.user.has_permission(\\\"core.view_staffer\\\")\",\n \"def test_that_a_user_cannot_edit_another_users_profile(self):\\n self.authorize_user(self.user_login_details)\\n self.register_user(self.user2)\\n url = self.profiles_url + \\\\\\n '{}'.format(self.user2['user']['username']) + \\\"/\\\"\\n response = self.client.patch(url, data=self.user_bio)\\n message = \\\"You don't have permission to edit this profile\\\"\\n self.assertEqual(response.data['message'], message)\\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)\",\n \"def test_edit_user_enable_permit_sudo(driver):\\n pass\",\n \"def test_post_update_unauthorized(self):\\n url = reverse('post-detail', kwargs={'pk': self.post.id})\\n user_url = reverse('user-detail', kwargs={'pk': self.superuser.id})\\n title = 'Random New Title'\\n body = 'Random New Body'\\n response = self.client.put(url, {'title': title, 'body': body, 'user': user_url}, format='json')\\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)\",\n \"def test_has_perm_change(self):\\n perm = \\\"change\\\"\\n self.assertTrue(self.story.has_perm(self.user1, perm))\\n self.assertFalse(self.story.has_perm(self.user2, perm))\",\n \"def test_admin_update_user_taskrun(self):\\r\\n\\r\\n with self.flask_app.test_request_context('/'):\\r\\n user_taskrun = TaskRunFactory.create()\\r\\n\\r\\n assert self.mock_admin.id != user_taskrun.user.id\\r\\n assert_raises(Forbidden,\\r\\n getattr(require, 'taskrun').update,\\r\\n user_taskrun)\",\n \"def test_user_can_change_as_author(self):\\n self.assertTrue(self.story.user_can_change(self.user1))\",\n \"def write_authorize(cls, user, obj):\\n if not cls._meta.model.published_where_is_examiner(user).filter(id=obj.id):\\n raise PermissionDenied()\\n if obj.id == None:\\n raise PermissionDenied() # We only allow update\",\n \"def test_post_update_regular_user(self):\\n url = reverse('post-detail', kwargs={'pk': self.post.id})\\n user_url = reverse('user-detail', kwargs={'pk': self.superuser.id})\\n self.client.force_authenticate(user=self.user)\\n title = 'Random New Title'\\n body = 'Random New Body'\\n response = self.client.put(url, {'title': title, 'body': body, 'user': user_url}, format='json')\\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)\",\n \"def test_user(self):\\n return True\",\n \"def test_util_has_perm_or_owns_sanity(self):\\n me = User.objects.get(pk=118533)\\n my_t = Thread.objects.filter(creator=me)[0]\\n other_t = Thread.objects.exclude(creator=me)[0]\\n perm = 'forums_forum.thread_edit_forum'\\n allowed = access.has_perm_or_owns(me, perm, my_t, self.forum_1)\\n eq_(allowed, True)\\n allowed = access.has_perm_or_owns(me, perm, other_t, self.forum_1)\\n eq_(allowed, False)\",\n \"def test_readonly_user(self):\\n\\n self.user = self.make_user()\\n\\n ma = EmployeeAdmin(model=Employee, admin_site=None)\\n\\n self.assertEqual(\\n hasattr(self.user, 'employee'),\\n False\\n )\\n # since there is no atribute employee in self user, we\\n # can assume that obj=None\\n self.assertEqual(\\n list(ma.get_readonly_fields(self, obj=None)),\\n []\\n )\\n\\n self.employee = Employee.objects.create(\\n cpf=\\\"974.220.200-16\\\",\\n user=self.user,\\n departament=Employee.ADMINISTRATION\\n )\\n\\n self.assertEqual(\\n hasattr(self.user, 'employee'),\\n True\\n )\\n\\n ma1 = EmployeeAdmin(model=Employee, admin_site=None)\\n self.assertEqual(\\n list(ma1.get_readonly_fields(self, obj=self.user.employee)),\\n ['user']\\n )\",\n \"def test_comment_permission(self):\\n\\n self.factory.force_authenticate(user=self.admin)\\n response = self.factory.put(self.comment_update_url, {'comment': \\\"bbbb\\\"}, format='json')\\n self.assertNotEqual(\\\"bbbb\\\", response.data.get('comment'))\",\n \"def can_user_edit(self, user):\\n\\n return user.is_authenticated and (\\n user.has_role('admin') or\\n unicode(self.user_id) == user.get_id()\\n )\",\n \"def test_public_user(self):\\n set_permission(Permission.SHARE, self.user1, self.collection)\\n\\n data = {\\\"public\\\": \\\"view\\\"}\\n resp = self._detail_permissions(self.collection.pk, data, self.user1)\\n self.assertEqual(resp.status_code, status.HTTP_200_OK)\\n\\n data = {\\\"public\\\": \\\"none\\\"}\\n resp = self._detail_permissions(self.collection.pk, data, self.user1)\\n self.assertEqual(resp.status_code, status.HTTP_200_OK)\\n\\n data = {\\\"public\\\": \\\"edit\\\"}\\n resp = self._detail_permissions(self.collection.pk, data, self.user1)\\n self.assertEqual(resp.status_code, status.HTTP_403_FORBIDDEN)\\n\\n data = {\\\"public\\\": \\\"share\\\"}\\n resp = self._detail_permissions(self.collection.pk, data, self.user1)\\n self.assertEqual(resp.status_code, status.HTTP_403_FORBIDDEN)\\n\\n data = {\\\"public\\\": \\\"owner\\\"}\\n resp = self._detail_permissions(self.collection.pk, data, self.user1)\\n self.assertEqual(resp.status_code, status.HTTP_403_FORBIDDEN)\",\n \"def test_not_creator_cannot_update(self):\\n\\n logged_user = utils.create_user_and_authenticate(self)\\n self.group.users.add(logged_user)\\n expected_url = reverse('my_groups_view')\\n\\n utils.test_cannot_access(self, self.url,\\n expected_url=expected_url,\\n data=self.data)\",\n \"def test_no_permissions(self):\\n\\n login(self.client)\\n\\n client = create_client('test')\\n client.write_access = False\\n client.save()\\n response = self.client.post('/backend/u/conc/', {'client': 'test', 'id': 3})\\n self.assertEqual(response.status_code, 200)\\n self.assertEqual('Permission not granted', response.content.decode('utf-8'))\",\n \"def test_edit_category_with_wrong_perms(self):\\n self.client.login(username='hodor', password='hodor')\\n Perms.objects.create(user=self.user, access_level=4).save()\\n response = self.client.post('/categories/edit/%d' % self.category1.id, {}, follow=True)\\n self.assertTemplateUsed(response, 'unauthorized.html')\",\n \"def test_edit_object_with_require_auth_false(self):\\n self.test_object.require_auth = False\\n self.test_object.save()\\n response = self.client.put(\\n f\\\"/permissiontest/{self.test_object.id}/\\\", self.test_update_object\\n )\\n self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)\",\n \"def test_non_admin_login(self):\\n self.request.user.is_active = True\\n self.request.user.is_registered = True\\n self.request.user.is_superuser = False\\n self.request.user.is_staff = False\\n nt.assert_equal(self.view.test_func(), False)\",\n \"def test_non_admin_login(self):\\n self.request.user.is_active = True\\n self.request.user.is_registered = True\\n self.request.user.is_superuser = False\\n self.request.user.is_staff = False\\n nt.assert_equal(self.view.test_func(), False)\",\n \"def test_non_admin_login(self):\\n self.request.user.is_active = True\\n self.request.user.is_registered = True\\n self.request.user.is_superuser = False\\n self.request.user.is_staff = False\\n nt.assert_equal(self.view.test_func(), False)\",\n \"def test_non_admin_login(self):\\n self.request.user.is_active = True\\n self.request.user.is_registered = True\\n self.request.user.is_superuser = False\\n self.request.user.is_staff = False\\n nt.assert_equal(self.view.test_func(), False)\",\n \"def test_permissions(self):\\n self.assert_('admin' in get_model_perms(Group))\",\n \"def raise_not_editable(self, viewer):\\n if viewer.has_perm(\\\"bookwyrm.edit_instance_settings\\\"):\\n return\\n raise PermissionDenied()\",\n \"def test_requester_is_no_admin(self) -> None:\\n\\n channel = self.make_request(\\n \\\"GET\\\",\\n self.url,\\n access_token=self.other_user_tok,\\n )\\n\\n self.assertEqual(403, channel.code, msg=channel.json_body)\\n self.assertEqual(Codes.FORBIDDEN, channel.json_body[\\\"errcode\\\"])\",\n \"def test_requester_is_no_admin(self) -> None:\\n\\n channel = self.make_request(\\n \\\"GET\\\",\\n self.url,\\n access_token=self.other_user_tok,\\n )\\n\\n self.assertEqual(403, channel.code, msg=channel.json_body)\\n self.assertEqual(Codes.FORBIDDEN, channel.json_body[\\\"errcode\\\"])\",\n \"def can_edit(self, user, user_is_admin=False):\\r\\n if user is None or isinstance(user, FakeAccount):\\r\\n return False\\r\\n elif user_is_admin or self.author_id == user._id:\\r\\n return True\\r\\n elif Subreddit._by_name('discussion').is_editor(user):\\r\\n return True\\r\\n else:\\r\\n return False\",\n \"def test_admin_accessible(self) -> None:\\n response = self.client.get(\\\"/admin/\\\")\\n self.assertEqual(200, response.status_code)\",\n \"def test_modify_access_revoke_not_allowed(self):\\r\\n url = reverse('modify_access', kwargs={'course_id': self.course.id.to_deprecated_string()})\\r\\n response = self.client.get(url, {\\r\\n 'unique_student_identifier': self.other_staff.email,\\r\\n 'rolename': 'instructor',\\r\\n 'action': 'revoke',\\r\\n })\\r\\n self.assertEqual(response.status_code, 200)\",\n \"def test_filter_owner_permission(self):\\n User = get_user_model()\\n user1 = User.objects.create(username=\\\"test_user1\\\", email=\\\"user1@test.com\\\")\\n obj = DescriptorSchema.objects.create(contributor=user1)\\n obj.set_permission(Permission.VIEW, user1)\\n\\n data_template = {\\n \\\"users\\\": {user1.id: \\\"view\\\"},\\n \\\"groups\\\": {1: \\\"edit\\\", 2: \\\"NONE\\\"},\\n }\\n\\n check_owner_permission(data_template, False, obj)\\n\\n # Check that only owner can set owner permission.\\n data = deepcopy(data_template)\\n data[\\\"users\\\"][1] = \\\"owner\\\"\\n with self.assertRaises(exceptions.PermissionDenied):\\n check_owner_permission(data, False, obj)\\n check_owner_permission(data, True, obj)\\n\\n # Check that only owner can rewoke owner permission.\\n obj.set_permission(Permission.OWNER, user1)\\n data = deepcopy(data_template)\\n data[\\\"users\\\"][1] = \\\"edit\\\"\\n with self.assertRaises(exceptions.PermissionDenied):\\n check_owner_permission(data, False, obj)\\n check_owner_permission(data, True, obj)\\n\\n # Check that group can not be owner.\\n obj.set_permission(Permission.VIEW, user1)\\n data = deepcopy(data_template)\\n data[\\\"groups\\\"][1] = \\\"owner\\\"\\n with self.assertRaises(exceptions.ParseError):\\n check_owner_permission(data, False, obj)\\n with self.assertRaises(exceptions.ParseError):\\n check_owner_permission(data, True, obj)\",\n \"def test_update_by_non_owner(self):\\n # User 1\\n saved1 = self.create_article()\\n article_url = saved1[0]\\n # get user2 details\\n token = self.create_article_user2()\\n response = self.test_client.put(article_url,self.article_update_data, format='json', HTTP_AUTHORIZATION=token)\\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)\",\n \"def test_admin_get(self, *args, **kwargs):\\n self.request.user.is_active = True\\n self.request.user.is_registered = True\\n self.request.user.is_superuser = False\\n self.request.user.is_staff = True\\n res = self.view.get(self.request, *args, **kwargs)\\n nt.assert_equal(res.status_code, 200)\",\n \"def test_admin_get(self, *args, **kwargs):\\n self.request.user.is_active = True\\n self.request.user.is_registered = True\\n self.request.user.is_superuser = False\\n self.request.user.is_staff = True\\n res = self.view.get(self.request, *args, **kwargs)\\n nt.assert_equal(res.status_code, 200)\",\n \"def test_modify_access_bad_role(self):\\r\\n url = reverse('modify_access', kwargs={'course_id': self.course.id.to_deprecated_string()})\\r\\n response = self.client.get(url, {\\r\\n 'unique_student_identifier': self.other_staff.email,\\r\\n 'rolename': 'robot-not-a-roll',\\r\\n 'action': 'revoke',\\r\\n })\\r\\n self.assertEqual(response.status_code, 400)\",\n \"def testOwnershipAfterEdit(self):\\n self.simulateATGUIInteraction(task='edit')\\n self.failUnlessEqual(self.person.getOwnerTuple()[1], 'abc123')\",\n \"def test_staff_permission_required(self):\\r\\n with self.assertRaises(PermissionDenied):\\r\\n add_user_with_status_granted(self.user, self.user)\\r\\n\\r\\n with self.assertRaises(PermissionDenied):\\r\\n update_course_creator_group(self.user, self.user, True)\",\n \"def test_admin_login(self):\\n self.request.user.is_active = True\\n self.request.user.is_registered = True\\n self.request.user.is_superuser = False\\n self.request.user.is_staff = True\\n nt.assert_true(self.view.test_func())\",\n \"def test_admin_login(self):\\n self.request.user.is_active = True\\n self.request.user.is_registered = True\\n self.request.user.is_superuser = False\\n self.request.user.is_staff = True\\n nt.assert_true(self.view.test_func())\",\n \"def test_admin_login(self):\\n self.request.user.is_active = True\\n self.request.user.is_registered = True\\n self.request.user.is_superuser = False\\n self.request.user.is_staff = True\\n nt.assert_true(self.view.test_func())\",\n \"def test_admin_login(self):\\n self.request.user.is_active = True\\n self.request.user.is_registered = True\\n self.request.user.is_superuser = False\\n self.request.user.is_staff = True\\n nt.assert_true(self.view.test_func())\",\n \"def test_access_negative(self, api):\\n self.builder.add_user(api.get_user())\\n r1 = api.access_user(api.get_user(), False)\\n access_false = self.builder.get_access(api.get_user())\\n self.builder.del_user(api.get_user())\\n assert access_false == 0\\n assert r1.status_code == 200\",\n \"def test_user_update_permissions(self):\\n userPK = User.objects.get(username='c2e1').pk\\n url = reverse('User-detail', kwargs={'pk': userPK})\\n data = {'username': 'company1NewTest'}\\n response = self.client.put(url, data, format='json')\\n #This is 404 instead of 403 because there is no way to view a company\\n #that you arent an employee of.\\n self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)\\n self.assertNotEqual(User.objects.get(pk=userPK).username,\\n 'company1NewTest')\\n data = {'username': 'company1NewTest2'}\\n response = self.client.patch(url, data, format='json')\\n #This is 404 instead of 403 because there is no way to view a company\\n #that you arent an employee of.\\n self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)\\n self.assertNotEqual(User.objects.get(pk=userPK).username,\\n 'company1NewTest2')\",\n \"def test_project_administrator(project):\\n if is_server_administrator():\\n return True\\n if is_project_administrator(project):\\n return True\\n return False\",\n \"def test_detail_not_contributor_forbidden(self):\\n self.login(self.user1)\\n resp = self.client.get(self.get_url(self.c2.pk))\\n self.assert403(resp)\",\n \"def test_only_add_perm(self):\\n self.assertStatusCode(self.url, 403)\",\n \"def test_not_creator_cannot_update_tab(self):\\n\\n logged_user = utils.create_user_and_authenticate(self)\\n self.group.users.add(logged_user)\\n expected_url = reverse('group_view', args=(self.group.pk,))\\n\\n utils.test_cannot_access(self, self.url, expected_url, self.data)\",\n \"def test_owner_edit_assessment_invalid(self):\\n req, resp = data.get_assessment(self.contract['id'])\\n response = self.user_01.put(self.assessment_report_url, req)\\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)\",\n \"def test_detail_is_hacker_permission(self):\\n self.user_1.username = 'pythonhacker'\\n self.user_1.save()\\n\\n token = Token.objects.create(user=self.user_1)\\n headers = {\\n 'HTTP_AUTHORIZATION': 'Token ' + str(token)\\n }\\n response = self.client.get(\\n '/api/products/{}/'.format(self.product_1.id), **headers)\\n\\n expected = {'detail': 'You do not have permission to perform this action.'}\\n self.assertEqual(response.status_code, 403)\\n self.assertEqual(response.json(), expected)\",\n \"def test_edit_profile(self):\\n \\n LOGGER.debug(\\\"Test GET /rango/edit/ for anon user\\\")\\n anon_edit_response = self.client.get('/rango/edit/')\\n # redirected to login page\\n self.assertEquals(302, anon_edit_response.status_code)\\n self.assertRedirects(anon_edit_response, \\\"http://testserver/accounts/login/?next=/rango/edit/\\\")\\n\\n LOGGER.debug(\\\"Test GET /rango/edit/ for logged in user\\\")\\n self.client.login(username='leothelion', password='rawr')\\n logged_in_edit_response = self.client.get('/rango/edit/')\\n self.assertContains(logged_in_edit_response, \\\"leo\\\")\",\n \"def test_should_render_user_with_can_edit_reviewrequest(self) -> None:\\n self.assertTrue(self.action.should_render(\\n context=self._create_request_context(user=self.create_user())))\",\n \"def test_username_is_writable_for_user_creation(self):\\n request = Mock()\\n assert 'username' not in self.admin.get_readonly_fields(request)\",\n \"def test_delete_permission(self):\\r\\n self.assertFalse(self.creator_admin.has_delete_permission(self.request))\",\n \"def test_mailpiece_put_permissions(self):\\n userPK = User.objects.get(username='c2e1').pk\\n mailPiecePK = MailPiece.objects.filter(user=userPK)[0].pk\\n url = reverse('MailPiece-detail', kwargs={'pk': mailPiecePK})\\n self.data['user'] = userPK\\n response = self.client.put(url, self.data, format='json')\\n #This is 404 instead of 403 because there is no way to view a mail piece\\n #that you arent the user on.\\n self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)\\n self.assertNotEqual(MailPiece.objects.get(pk=mailPiecePK).user,\\n self.data['user'])\",\n \"def test_edition_of_other_users_aid(client, contributor):\\n\\n aid = AidFactory()\\n form_url = reverse('aid_edit_view', args=[aid.slug])\\n client.force_login(contributor)\\n res = client.get(form_url)\\n assert res.status_code == 404\",\n \"def test_readonly_submit_row__without__read_only_permissions__for_superuser(\\n self,\\n ) -> None:\\n user = User.objects.first()\\n user.is_superuser = True # type: ignore\\n user.save(update_fields=[\\\"is_superuser\\\"]) # type: ignore\\n request: HttpRequest = HttpRequest()\\n request.user = user # type: ignore\\n context: RequestContext = RequestContext(\\n request=request,\\n dict_={\\n \\\"user\\\": user,\\n \\\"add\\\": True,\\n \\\"change\\\": True,\\n \\\"is_popup\\\": False,\\n \\\"save_as\\\": True,\\n \\\"has_add_permission\\\": True,\\n \\\"has_change_permission\\\": True,\\n \\\"has_view_permission\\\": True,\\n \\\"has_editable_inline_admin_formsets\\\": False,\\n \\\"has_delete_permission\\\": True,\\n \\\"opts\\\": \\\"auth.user\\\",\\n \\\"request\\\": request,\\n },\\n )\\n result: Context = readonly_submit_row(context=context)\\n\\n self.assertTrue(expr=result[\\\"show_delete_link\\\"])\\n self.assertTrue(expr=result[\\\"show_save_and_add_another\\\"])\\n self.assertTrue(expr=result[\\\"show_save_and_continue\\\"])\\n self.assertTrue(expr=result[\\\"show_save\\\"])\",\n \"def test__user_passed_as_none(self):\\r\\n access.has_access(None, 'staff', 'global', None)\",\n \"def test_user_can_change_inactive(self):\\n self.assertTrue(self.story.user_can_change(self.user1))\\n self.user1.is_active = False \\n self.assertFalse(self.story.user_can_change(self.user1))\",\n \"def test_remove_is_staff(self):\\n self.user.is_staff = False\\n self.user.save()\\n self.user.refresh_from_db()\\n response = self.client.get(self.get_url())\\n self.assertEqual(response.status_code, 403)\",\n \"def test_remove_is_staff(self):\\n self.user.is_staff = False\\n self.user.save()\\n self.user.refresh_from_db()\\n response = self.client.get(self.get_url())\\n self.assertEqual(response.status_code, 403)\",\n \"def test_remove_is_staff(self):\\n self.user.is_staff = False\\n self.user.save()\\n self.user.refresh_from_db()\\n response = self.client.get(self.get_url())\\n self.assertEqual(response.status_code, 403)\",\n \"def _testIdWriteAccess(self):\\n from Products.CMFCore.utils import getToolByName\\n mt = getToolByName(self.portal, 'portal_membership')\\n user = mt.getAuthenticatedMember()\\n perm = self.person.schema.get('id').write_permission\\n return user.checkPermission(perm, self.person)\",\n \"def can_edit(self, user):\\n if user.has_perm('funding.make_application_decisions'):\\n # Funding manager can update things later, if required\\n return True\\n # Applicants can only edit the application before the final review step\\n if self.status in ('S', 'U'):\\n if self.applicant == user:\\n return True\\n return False\",\n \"def soft_assert_role_cannot_be_edited(soft_assert, obj):\\n info_widget = factory.get_cls_webui_service(\\n objects.get_plural(obj.type))().open_info_page_of_obj(obj)\\n role_field_element = info_widget.role_to_edit\\n role_field_element.inline_edit.open()\\n # wait until new tab contains info page url\\n _, new_tab = browsers.get_browser().windows()\\n test_utils.wait_for(lambda: new_tab.url.endswith(url.Widget.INFO))\\n soft_assert.expect(not role_field_element.add_person_text_field.exists,\\n \\\"There should be no input field.\\\")\",\n \"def can_edit(self):\\n return self._can_edit\",\n \"def test_user_invite_cant_edit_users(self):\\n project = fake_clients.FakeProject(name=\\\"test_project\\\")\\n\\n setup_identity_cache(projects=[project])\\n\\n url = \\\"/v1/actions/InviteUser\\\"\\n headers = {\\n \\\"project_name\\\": \\\"test_project\\\",\\n \\\"project_id\\\": project.id,\\n \\\"roles\\\": \\\"project_admin,member,project_mod\\\",\\n \\\"username\\\": \\\"user\\\",\\n \\\"user_id\\\": \\\"test_user_id\\\",\\n \\\"authenticated\\\": True,\\n }\\n data = {\\n \\\"username\\\": \\\"new_user\\\",\\n \\\"email\\\": \\\"new@example.com\\\",\\n \\\"roles\\\": [\\\"member\\\"],\\n \\\"project_id\\\": project.id,\\n }\\n response = self.client.post(url, data, format=\\\"json\\\", headers=headers)\\n self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST)\\n self.assertEqual(response.json(), {\\\"errors\\\": [\\\"actions invalid\\\"]})\",\n \"def test_protect_owner(self):\\n self.collection.set_permission(Permission.SHARE, self.user1)\\n\\n # User with share permission cannot grant ``owner`` permission\\n data = {\\\"users\\\": {self.user2.pk: \\\"owner\\\"}}\\n resp = self._detail_permissions(self.collection.pk, data, self.user1)\\n self.assertEqual(resp.status_code, status.HTTP_403_FORBIDDEN)\\n self.assertNotIn(\\\"owner\\\", self.collection.get_permissions(self.user2))\\n self.assertFalse(PermissionModel.objects.filter(user=self.user2).exists())\\n\\n # User with share permission cannot revoke ``owner`` permission\\n self.collection.set_permission(Permission.OWNER, self.user2)\\n data = {\\\"users\\\": {self.user2.pk: \\\"editor\\\"}}\\n resp = self._detail_permissions(self.collection.pk, data, self.user1)\\n self.assertEqual(resp.status_code, status.HTTP_403_FORBIDDEN)\\n self.assertEqual(\\n self.collection.get_permissions(self.user2),\\n [Permission.VIEW, Permission.EDIT, Permission.SHARE, Permission.OWNER],\\n )\\n self.collection.set_permission(Permission.NONE, self.user2)\\n\\n # Now let user1 be owner on collection.\\n set_permission(Permission.OWNER, self.user1, self.collection)\\n\\n # ``owner`` permission cannot be assigned to a group\\n data = {\\\"groups\\\": {self.group.pk: \\\"owner\\\"}}\\n resp = self._detail_permissions(self.collection.pk, data, self.user1)\\n self.assertEqual(resp.status_code, status.HTTP_400_BAD_REQUEST)\\n self.assertFalse(PermissionModel.objects.filter(group=self.group).exists())\\n\\n # User with owner permission can grant ``owner`` permission\\n data = {\\\"users\\\": {self.user2.pk: \\\"owner\\\"}}\\n resp = self._detail_permissions(self.collection.pk, data, self.user1)\\n self.assertEqual(resp.status_code, status.HTTP_200_OK)\\n self.assertEqual(\\n self.collection.get_permissions(self.user2),\\n [Permission.VIEW, Permission.EDIT, Permission.SHARE, Permission.OWNER],\\n )\\n\\n # User with owner permission can revoke ``owner`` permission\\n data = {\\\"users\\\": {self.user2.pk: \\\"edit\\\"}}\\n resp = self._detail_permissions(self.collection.pk, data, self.user1)\\n self.assertEqual(resp.status_code, status.HTTP_200_OK)\\n self.assertFalse(\\n PermissionModel.objects.filter(\\n user=self.user2, value=Permission.OWNER.value\\n ).exists()\\n )\\n\\n # User with owner permission cannot remove all owners\\n data = {\\\"users\\\": {self.user1.pk: \\\"edit\\\", self.owner.pk: \\\"edit\\\"}}\\n\\n resp = self._detail_permissions(self.collection.pk, data, self.user1)\\n self.assertEqual(resp.status_code, status.HTTP_400_BAD_REQUEST)\\n self.assertEqual(resp.data[\\\"detail\\\"], \\\"Object must have at least one owner.\\\")\\n\\n owner_permissions = self.collection.permission_group.permissions.filter(\\n value=Permission.OWNER.value\\n )\\n owner_count = owner_permissions.count()\\n self.assertEqual(owner_count, 2)\\n\\n # User can delete his owner permission if there is at least one other owner\\n self.assertTrue(owner_permissions.filter(user=self.user1).exists())\\n data = {\\\"users\\\": {self.user1.pk: \\\"view\\\"}}\\n resp = self._detail_permissions(self.collection.pk, data, self.user1)\\n self.assertEqual(resp.status_code, status.HTTP_200_OK)\\n self.assertFalse(owner_permissions.filter(user=self.user1.pk).exists())\",\n \"def test_modify_access_bad_action(self):\\r\\n url = reverse('modify_access', kwargs={'course_id': self.course.id.to_deprecated_string()})\\r\\n response = self.client.get(url, {\\r\\n 'unique_student_identifier': self.other_staff.email,\\r\\n 'rolename': 'staff',\\r\\n 'action': 'robot-not-an-action',\\r\\n })\\r\\n self.assertEqual(response.status_code, 400)\",\n \"def test_get_permissions(self):\\n pass\",\n \"def on_model_change(self, form, model, is_created):\\n if not current_user.is_active or not current_user.is_authenticated:\\n abort(403)\\n elif is_created:\\n if not user_has_permission(current_user, 'can_create','admins'):\\n abort(403)\\n else:\\n if not user_has_permission(current_user, 'can_edit','admins'):\\n abort(403)\",\n \"def test_permissions(self):\\n taxonomy = self.get_taxonomy()\\n return True if self.request.user == taxonomy.author else taxonomy.public\",\n \"def test_project_create_cant_edit_users_existing_user(self):\\n user = fake_clients.FakeUser(name=\\\"test@example.com\\\")\\n\\n setup_identity_cache(users=[user])\\n\\n url = \\\"/v1/actions/CreateProjectAndUser\\\"\\n data = {\\\"project_name\\\": \\\"test_project\\\", \\\"email\\\": \\\"test@example.com\\\"}\\n response = self.client.post(url, data, format=\\\"json\\\")\\n self.assertEqual(response.status_code, status.HTTP_202_ACCEPTED)\\n self.assertEqual(response.json(), {\\\"notes\\\": [\\\"task created\\\"]})\\n task = Task.objects.all()[0]\\n action_models = task.actions\\n actions = [act.get_action() for act in action_models]\\n self.assertTrue(all([act.valid for act in actions]))\",\n \"def test_func(self):\\n answer = self.get_object()\\n return True if self.request.user == answer.author or self.request.user.is_superuser else False\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.8186143","0.78191847","0.7762394","0.7759971","0.77389044","0.7626638","0.7610116","0.75772184","0.75056833","0.7469706","0.74189234","0.7386552","0.73486775","0.7288264","0.72760946","0.7274553","0.7251353","0.72066283","0.7193407","0.7173011","0.7151771","0.71432513","0.71216923","0.7118752","0.7112398","0.71073234","0.70554435","0.7053799","0.70149964","0.6980144","0.69580674","0.69551903","0.6946348","0.6936447","0.6929061","0.6926473","0.69109","0.6891594","0.688005","0.68782","0.6863928","0.68501323","0.68402684","0.68273735","0.6826116","0.6818187","0.68153626","0.68020755","0.68020755","0.68020755","0.68020755","0.6792755","0.6778673","0.67752254","0.67752254","0.67459244","0.6745134","0.67426616","0.67327106","0.6725053","0.67247313","0.67247313","0.6718061","0.67042154","0.6702059","0.6695669","0.6695669","0.6695669","0.6695669","0.6676935","0.6672808","0.66640764","0.6663577","0.66633594","0.6650731","0.6650294","0.6650192","0.6648835","0.6639436","0.6638454","0.66347754","0.6619971","0.6619139","0.66155785","0.6611902","0.6611585","0.6604405","0.6604405","0.6604405","0.66001135","0.65970916","0.65838104","0.6583372","0.65821946","0.6581277","0.65792376","0.6573769","0.65709484","0.6569082","0.6567024","0.65606076"],"string":"[\n \"0.8186143\",\n \"0.78191847\",\n \"0.7762394\",\n \"0.7759971\",\n \"0.77389044\",\n \"0.7626638\",\n \"0.7610116\",\n \"0.75772184\",\n \"0.75056833\",\n \"0.7469706\",\n \"0.74189234\",\n \"0.7386552\",\n \"0.73486775\",\n \"0.7288264\",\n \"0.72760946\",\n \"0.7274553\",\n \"0.7251353\",\n \"0.72066283\",\n \"0.7193407\",\n \"0.7173011\",\n \"0.7151771\",\n \"0.71432513\",\n \"0.71216923\",\n \"0.7118752\",\n \"0.7112398\",\n \"0.71073234\",\n \"0.70554435\",\n \"0.7053799\",\n \"0.70149964\",\n \"0.6980144\",\n \"0.69580674\",\n \"0.69551903\",\n \"0.6946348\",\n \"0.6936447\",\n \"0.6929061\",\n \"0.6926473\",\n \"0.69109\",\n \"0.6891594\",\n \"0.688005\",\n \"0.68782\",\n \"0.6863928\",\n \"0.68501323\",\n \"0.68402684\",\n \"0.68273735\",\n \"0.6826116\",\n \"0.6818187\",\n \"0.68153626\",\n \"0.68020755\",\n \"0.68020755\",\n \"0.68020755\",\n \"0.68020755\",\n \"0.6792755\",\n \"0.6778673\",\n \"0.67752254\",\n \"0.67752254\",\n \"0.67459244\",\n \"0.6745134\",\n \"0.67426616\",\n \"0.67327106\",\n \"0.6725053\",\n \"0.67247313\",\n \"0.67247313\",\n \"0.6718061\",\n \"0.67042154\",\n \"0.6702059\",\n \"0.6695669\",\n \"0.6695669\",\n \"0.6695669\",\n \"0.6695669\",\n \"0.6676935\",\n \"0.6672808\",\n \"0.66640764\",\n \"0.6663577\",\n \"0.66633594\",\n \"0.6650731\",\n \"0.6650294\",\n \"0.6650192\",\n \"0.6648835\",\n \"0.6639436\",\n \"0.6638454\",\n \"0.66347754\",\n \"0.6619971\",\n \"0.6619139\",\n \"0.66155785\",\n \"0.6611902\",\n \"0.6611585\",\n \"0.6604405\",\n \"0.6604405\",\n \"0.6604405\",\n \"0.66001135\",\n \"0.65970916\",\n \"0.65838104\",\n \"0.6583372\",\n \"0.65821946\",\n \"0.6581277\",\n \"0.65792376\",\n \"0.6573769\",\n \"0.65709484\",\n \"0.6569082\",\n \"0.6567024\",\n \"0.65606076\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":86773,"cells":{"query":{"kind":"string","value":"Test that the edit button appears"},"document":{"kind":"string","value":"def test_edit_button_appears(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertContains(response, self.url)"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def click_the_edit_button_that_appears(driver):\n driver.find_element_by_xpath(xpaths.users.eric_Edit_Button).click()","def test_update_custom_button(self):\n pass","def test_delete_button_appears_edit(self):\n response = self.client.get(reverse('wagtailnews:edit', kwargs={\n 'pk': self.index.pk, 'newsitem_pk': self.newsitem.pk}))\n self.assertContains(response, self.url)","def assert_can_edit(selenium, obj, can_edit):\n ui_service = _get_ui_service(selenium, obj=obj)\n info_page = ui_service.open_info_page_of_obj(obj)\n els_shown_for_editor = info_page.els_shown_for_editor()\n assert [item.exists for item in els_shown_for_editor] == \\\n [can_edit] * len(els_shown_for_editor)\n if can_edit:\n _assert_title_editable(obj, selenium, info_page)","def test_that_logged_in_shows_edit_button(testapp):\n testapp.post('/login', params={'Username': 'amos', 'Password': 'password'})\n html = testapp.get('/journal/1').html\n assert html.find('main').a.text == 'Edit'","def test_edit_boat(self):\n pass","def edit(self):\n\n pass","def test_edit(self):\n # Test using the Trovebox class\n html = self.client.photo.edit(self.photos[0])\n self.assertIn(\"<form\", html.lower())\n\n # And the Photo object directly\n html = self.photos[0].edit()\n self.assertIn(\"<form\", html.lower())","def test_show_tag_edit(self):\r\n\r\n with app.test_client() as client:\r\n resp = client.get(f\"/tags/{self.tag.id}/edit\")\r\n html = resp.get_data(as_text=True)\r\n\r\n self.assertEqual(resp.status_code, 200)\r\n self.assertIn(\"Edit Tag\", html)\r\n self.assertIn(self.tag.name, html)","def edit():","def _enter_edit_mode(self):\n edit_mode = self.UTILS.element.getElement(DOM.DownloadManager.download_edit_button,\n \"Download edit button\", True, 10)\n edit_mode.tap()\n self.UTILS.element.waitForElements(DOM.DownloadManager.downloads_edit_header_title,\n \"Edit downloads header\")","def is_edit(self):\n return self._tag == 'edit'","def test_edit(self):\n\n\t\titem_id = mock_item()[0]\n\n\t\titem_data = {'title': 'Item Two', 'author': 'Author Two',\n\t\t\t'location': 'Location Two'}\n\t\tmodels.edit(item_id, item_data)\n\n\t\titem = models.item(item_id)\n\n\t\tself.assertEqual(item['title'], item_data['title'])\n\t\tself.assertEqual(item['author'], item_data['author'])\n\t\tself.assertEqual(item['location'], item_data['location'])","def _assert_title_editable(obj, selenium, info_page):\n new_title = \"[EDITED]\" + obj.title\n info_page.three_bbs.select_edit()\n modal = object_modal.get_modal_obj(obj.type, selenium)\n modal.fill_form(title=new_title)\n modal.save_and_close()\n obj.update_attrs(\n title=new_title, modified_by=users.current_user().email,\n updated_at=rest_service.ObjectsInfoService().get_obj(\n obj=obj).updated_at)\n new_ui_obj = _get_ui_service(selenium, obj).get_obj_from_info_page(obj)\n base.Test.general_equal_assert(\n obj.repr_ui(), new_ui_obj, \"audit\", \"custom_attributes\")","def the_user_edit_page_should_open(driver):\n assert wait_on_element(driver, 7, xpaths.add_User.edit_Title)\n time.sleep(0.5)","def dummy():\n\t\t\tself.edit = True","def test_no_delete_button_appears_edit(self):\n response = self.client.get(reverse('wagtailnews:edit', kwargs={\n 'pk': self.index.pk, 'newsitem_pk': self.newsitem.pk}))\n self.assertNotContains(response, self.url)","def test_delete_custom_button(self):\n pass","def test_edit(self):\n r = main.List.connection()\n main.List.add(r, \"ToDo\", 1, \"Buy apples\", 2, \"20.05.2015\")\n main.List.edit(r, \"ToDo\", 1, \"Buy bananas, not apples\", 2, \"20.05.2015\")\n task = main.List.pull_from_redis(r, \"ToDo\", False)\n if task and task is not None:\n check = task[\"1\"][\"description\"] == \"Buy bananas, not apples\"\n self.assertTrue(check, \"Editing failed.\")","def test_edit_view(self):\n self.client.post(reverse('misago:admin:users:bans:new'), data={\n 'check_type': '0',\n 'banned_value': 'Admin',\n })\n\n test_ban = Ban.objects.get(banned_value='admin')\n form_link = reverse('misago:admin:users:bans:edit', kwargs={'pk': test_ban.pk})\n\n response = self.client.post(form_link, data={\n 'check_type': '1',\n 'banned_value': 'test@test.com',\n 'user_message': 'Lorem ipsum dolor met',\n 'staff_message': 'Sit amet elit',\n 'expires_on': '',\n })\n self.assertEqual(response.status_code, 302)\n\n response = self.client.get(reverse('misago:admin:users:bans:index'))\n response = self.client.get(response['location'])\n self.assertEqual(response.status_code, 200)\n self.assertContains(response, 'test@test.com')","def test_edit(test_case, widget):\n ensure_engine_exists()\n # Create schem\n Base.metadata.create_all(get_engine())\n # Create editing UI\n edit_ui = type(\"CustomEditUI\", (Ui_EditForm, PQSEditUI), {})\n ui, s, u = None, None, None\n # Switch test\n print(test_case)\n if test_case == \"add\":\n ui = edit_ui(User)\n elif test_case == \"edit-transient\":\n ui = edit_ui(User(email=\"transient@users.org\", number=1))\n else:\n s = SessionFactory()\n if test_case == \"edit-pending\":\n u = User(email=\"pending@users.org\", number=2)\n s.add(u)\n ui = edit_ui(u, s)\n elif test_case == \"edit-persistent\":\n u = User(email=\"persistent@users.org\", number=3,\n birthdate=datetime.date(1995, 9, 21))\n s.add(u)\n s.commit()\n ui = edit_ui(u, s)\n elif test_case == \"edit-persistent-wrong\":\n s.execute(\"INSERT INTO users (email, number, birthdate) VALUES (\" +\n \"\\\"persistent-wrongusers.org\\\", 4, \\\"2099-12-12\\\")\")\n s.commit()\n u = s.query(User).filter(\n User.email == \"persistent-wrongusers.org\").first()\n ui = edit_ui(u, s)\n # Create UI\n ui.setup_and_bind(widget, Ui_UserForm)\n return ui, s, u","def on_click(self) -> None:\n self.editing = True","def edit(self, **kwargs):\n ...","def test_create_custom_button(self):\n pass","def test_get_custom_button(self):\n pass","def editChange(self,editBtn):\n if self.edit ==True:\n self.updateDetails(\"normal\") #update details column\n self.edit = False #switch boolean\n self.editBtn.setText(\"Edit\") #update button text\n else:\n self.updateDetails(\"edit\") #update details column\n self.edit= True #switch boolean\n self.editBtn.setText(\"Stop Editing\") #update button text","def test_visible_widgets(plugin_dialog):\n\n assert plugin_dialog.direct_entry_edit.isVisible()\n assert plugin_dialog.direct_entry_btn.isVisible()","def test_that_not_logged_in_does_not_shows_edit_button(testapp):\n html = testapp.get('/journal/1').html\n assert not html.find('main').a","def click_bulk_edit_button(self):\n self.click_element(self.bulk_edit_button_locator, True)","def test_edit_view(self):\n target_url = url_for('content.edit_content')\n redirect_url = url_for('users.login', next=target_url)\n response = self.client.get(target_url)\n self.assertEqual(response.status_code, 302)\n self.assertRedirects(response, redirect_url)","def test_offers_edit(self, mock_find):\n mock_find.return_value = sample_offer\n\n result = self.client.get(f'/offers/{sample_offer_id}/edit')\n self.assertEqual(result.status, '200 OK')\n self.assertIn(b'Edit This Offer', result.data)","def test_get_edit(self):\n response = self.get('/study/edit/1')\n self.assertEqual(response.code, 200)\n self.assertNotEqual(str(response.body), \"\")","def test_author_view(self):\n table = self.get_change_page_form(self.user_1_client, self.question_1.pk)\n self.assertInHTML('<label>Title:</label><div class=\"readonly\">Lorem</div>', table)\n # The label's `for` attribute is present only on editable fields\n self.assertInHTML('<label class=\"required\" for=\"id_body\">Body:</label>', table)\n self.assertInHTML(\n '<label>Author:</label><div class=\"readonly\"><a href=\"/auth/user/2/change/\">user_1</a></div>', table)\n self.assertInHTML(\n '<div><label>Is published:</label><div class=\"readonly\"><img src=\"/static/admin/img/icon-yes.svg\" '\n 'alt=\"True\"></div></div>', table)","def test_edit_post():\n driver = webdriver.Chrome()\n driver.get('https://cmput404group10.herokuapp.com')\n\n username = driver.find_element_by_id(\"username\")\n username.send_keys(\"ronWeasley\")\n\n password = driver.find_element_by_name(\"password\")\n password.send_keys(\"ualberta123\")\n\n driver.find_element_by_xpath('/html/body/div/div/div/div/div/div/div[2]/div/form/div[3]/button').click()\n\n driver.find_element_by_xpath('//*[@id=\"accordionSidebar\"]/li[2]/a').click()\n\n assert driver.page_source.__contains__(\"Selenium Test\")\n assert not driver.page_source.__contains__(\"Selenium Edit Post\")\n\n driver.find_element_by_link_text('Edit').click()\n\n title = driver.find_element_by_xpath('//*[@id=\"id_title\"]')\n title.clear()\n title.send_keys(\"Selenium Edit Post\")\n\n driver.find_element_by_xpath('//*[@id=\"content\"]/div/div/form/button').click()\n assert driver.page_source.__contains__(\"Selenium Edit Post\")","def test_edited(self):\n event = Event.objects.all()[0]\n\n todo = TodoItem.objects.create(\n event=event, completed=False, title=\"Test TODO4\",\n due=datetime.date.today(), additional=\"\",\n )\n\n url, form = self._get_initial_form('todo_edit', todo.pk)\n form['title'] = \"Test TODO4 - new title\"\n form['completed'] = True\n form['additional'] = ''\n\n rv = self.client.post(reverse('todo_edit', args=[todo.pk]), form)\n assert rv.status_code == 302\n\n todo.refresh_from_db()\n\n assert todo.title == \"Test TODO4 - new title\"\n assert todo.completed is True","def test_no_edit_button_appears(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertNotContains(response, self.url)","def testMemberCanEdit(self):\n self.client.login(username=\"admin\", password=\"test\")\n response = self.client.get(reverse(\"task_detail\", args=[1]))\n self.failUnlessEqual(response.status_code, 200)\n self.failUnless(response.content.find(\"<h2>Edit</h2>\") != -1,\n \"Authenticated users cannot edit tasks.\")\n self.client.logout()","def test_issue_edit_label(self):\n pass","def test_edit_alert_by_id(self):\n pass","def test_handle_edit(self):\n test_user = User(\"userid\")\n test_user.permissions_level = Permissions.admin\n team = Team(\"BRS\", \"brs\", \"brS\")\n team.platform = \"web\"\n team_attach = [team.get_attachment()]\n team.platform = \"iOS\"\n team.display_name = \"b-s\"\n self.db.retrieve.return_value = test_user\n self.db.query.return_value = [team]\n with self.app.app_context():\n resp, code = self.testcommand.handle(\"team edit brs \"\n \"--name brS \"\n \"--platform web\", user)\n expect = {'attachments': team_attach,\n 'text': 'Team edited: brs, '\n 'name: brS, '\n 'platform: web'}\n self.assertDictEqual(resp, expect)\n self.assertEqual(code, 200)\n self.db.store.assert_called_once_with(team)","def soft_assert_role_cannot_be_edited(soft_assert, obj):\n info_widget = factory.get_cls_webui_service(\n objects.get_plural(obj.type))().open_info_page_of_obj(obj)\n role_field_element = info_widget.role_to_edit\n role_field_element.inline_edit.open()\n # wait until new tab contains info page url\n _, new_tab = browsers.get_browser().windows()\n test_utils.wait_for(lambda: new_tab.url.endswith(url.Widget.INFO))\n soft_assert.expect(not role_field_element.add_person_text_field.exists,\n \"There should be no input field.\")","def test_edit_mdt(self):\n response = self.client.get(reverse('edit-mdt', args=[self.sample_type, self.mdt.id]))\n self.assertContains(response, self.proband.gel_id)\n self.assertEqual(response.status_code, 200)","def test_provider_user_edit(self):\n browser = self.browser\n browser.get(self.base_url)\n wait = WebDriverWait(browser, 10)\n\n user = self.getUser()\n self.assertTrue(user.login())\n\n browser.get(self.base_url + \"user/me/edit\")\n\n pass1 = wait.until(\n EC.visibility_of_element_located((By.ID, \"edit-pass-pass1\"))\n )\n pass1.send_keys('new_pswd')\n\n pass2 = wait.until(\n EC.visibility_of_element_located((By.ID, \"edit-pass-pass2\"))\n )\n pass2.send_keys('new_pswd_foo')\n\n pass2.send_keys(Keys.RETURN)\n\n message = wait.until(\n EC.visibility_of_element_located((By.CLASS_NAME, \"message--error\"))\n )\n print (message.text)\n assert message.text == u'De indtastede oplysninger matcher ikke hinanden'","def test_issue_edit_issue(self):\n pass","def OnToggleEdit(self, event):\n\t\ttoggle = self.btn_edit.GetToggle()\n\t\tif not toggle:\n\t\t\tif not util.gAuthen.Authenticate(util.ADMIN):\n\t\t\t\tself.btn_edit.SetToggle(not toggle)\n\t\t\t\treturn \n\t\tself.UpdateToggle()","def edit_button_clicked(self, obj):\n handle = self.get_selected()\n if handle:\n note = self.dbstate.db.get_note_from_handle(handle)\n try:\n from .. import EditNote\n EditNote(self.dbstate, self.uistate, self.track, note,\n callertitle = self.callertitle,\n extratype = [self.notetype] )\n except WindowActiveError:\n pass","def test_edit_tool_page(self):\n\n\n username,userpass = self.testdata.find_account_for('toolsubmitter')\n\n self.utils.account.login_as(username,userpass)\n\n self.contribtool.edit_tool_page(TOOLNAME,TOOLPAGEDATA)","def edit(self,item=None):\r\n raise AbstractError\r\n return False","def test_ui_menu(test):\n assert hl.test_help_ui_menu(test) == test","def assert_can_edit_asmt(selenium, asmt):\n asmts_ui_service = webui_service.AssessmentsService(selenium)\n info_page = asmts_ui_service.open_info_page_of_obj(asmt)\n _assert_title_editable(asmt, selenium, info_page)","def edit_form():\n return template (\"edit\")","def test_constructor_visible_widgets(plugin_dialog_constructor):\n assert not plugin_dialog_constructor.direct_entry_edit.isVisible()\n assert not plugin_dialog_constructor.direct_entry_btn.isVisible()","def test_showing_edit_dietitian_account(self):\n\n result = self.client.get(\"/dietitian/1/account/edit\")\n self.assertEqual(result.status_code, 200)\n self.assertIn(b\"Edit your information\", result.data)\n\n result = self.client.get(\"/dietitian/2/account/edit\",\n follow_redirects=True)\n self.assertEqual(result.status_code, 200)\n self.assertIn(b\"not authorized\", result.data)","def after_successful_edit(self):\n pass","def check_TEAMS_exit_edit_mode_Button(driver = None,intervalWaitForPage = None,output = None):\r\n\tglobal verify, log_path\r\n\tpageLoadWaitInterval = intervalWaitForPage if intervalWaitForPage != None else 5\r\n\tif (driver == None or output == None):\r\n\t\tprint \"ERROR in check_TEAMS_exit_edit_mode_Button(): Please send webdriver, and output as arguments.\"\r\n\telse:\r\n\t\tdriver.set_page_load_timeout(pageLoadWaitInterval)\r\n\t\ttry:\r\n\t\t\tverify = 0\r\n\t\t\t#Admin Gear test\r\n\t\t\ttry:\r\n\t\t\t\teditButton = WebDriverWait(driver, 15).until(EC.presence_of_element_located((By.ID,\"QA:CentricView:exitEditButton\")))\r\n\t\t\t\tif editButton.is_displayed() == False:\r\n\t\t\t\t\toutput = writer(\"VERIFY:\\texitEditButton Absent\\tFAIL\",output)\r\n\t\t\t\telif editButton.is_displayed() == True:\r\n\t\t\t\t\toutput = writer(\"VERIFY:\\texitEditButton Present\\tPASS\",output)\r\n\t\t\t\t\tverify = 1\r\n\t\t\texcept TimeoutException:\r\n\t\t\t\toutput = writer(\"INFO:\\tCatastrophic DOM Error\",output)\r\n\t\t\t#-------------------------\r\n\t\texcept TimeoutException:\r\n\t\t\toutput = writer(\"INFO:\\tgo to Admin iframe failed\",output)\t\r\n\treturn verify","def save_edit(self):\r\n self.driver.find_element_by_xpath('//*[@id=\"vnos\"]/span[1]/div/a').click()","def test_publication_view_edit(self):\n \n test_response = self.client.get('/papers/14-3-3-proteins-a-number-of-functions-for-a-numbered-protein/edit/')\n self.assertEqual(test_response.status_code, 200)\n self.assertTrue('publication' in test_response.context) \n self.assertTemplateUsed(test_response, 'base.html')\n self.assertTemplateUsed(test_response, 'publication_form.html') \n self.assertEqual(test_response.context['publication'].pk, 1)\n self.assertEqual(test_response.context['publication'].title, u'14-3-3 proteins: a number of functions for a numbered protein.')\n\n #verifies that a non-existent object returns a 404 error presuming there is no object with pk=2.\n null_response = self.client.get('/papers/not-a-real-paper/edit/')\n self.assertEqual(null_response.status_code, 404)","def test_edit_has_populated_form(testapp, fill_the_db, login_testcase):\n response = testapp.get('/journal/1/edit-entry', status=200)\n title = response.html.find_all('input')[1]['value']\n body = response.html.form.textarea.contents[0]\n assert title == ENTRIES[0]['title']\n assert body == ENTRIES[0]['body']","def edit_event(self):\n WebDriverWait(self.driver, 20).until(expected_conditions.presence_of_element_located((By.XPATH, '/html/body/div[4]/div[3]/div/div[2]/button'))).click()\n\n #elem = self.driver.find_elements(By.XPATH, \"/html/body/div[1]/div/div[3]/div/div[2]/div/div[2]/div[2]/div/div/div/div/div/div[11]/div/a/div/div[4]/div[2]/div/a[3]\")\n elem = self.driver.find_element_by_xpath(\"/html/body/div[1]/div/div[3]/div/div[2]/div/div[2]/div[2]/div/div/div/div/div/div[11]/div/a/div/div[4]/div[2]/div/a[3]\")\n actions = ActionChains(self.driver)\n actions.move_to_element(elem).perform()\n sleep(5)\n WebDriverWait(self.driver, 20).until(expected_conditions.presence_of_element_located((By.XPATH, \"/html/body/div[1]/div/div[3]/div/div[2]/div/div[2]/div[2]/div/div/div/div/div/div[11]/div/a/div/div[4]/div[2]/div/a[3]\"))).click()","def click_button(self):\n self.q(css='div#fixture input').first.click()","def test_staff_view(self):\n table = self.get_change_page_form(self.staff_member_client, self.question_1.pk)\n self.assertInHTML('<label>Title:</label><div class=\"readonly\">Lorem</div>', table)\n # The label's `for` attribute is present only on editable fields\n self.assertInHTML('<label>Body:</label><div class=\"readonly\">Foo bar</div>', table)\n self.assertInHTML(\n '<label>Author:</label><div class=\"readonly\"><a href=\"/auth/user/2/change/\">user_1</a></div>', table)\n self.assertInHTML(\n '<input type=\"checkbox\" name=\"is_published\" id=\"id_is_published\" checked=\"\">'\n '<label class=\"vCheckboxLabel\" for=\"id_is_published\">Is published</label>', table)","def test_edit_game(self, mock_find):\n mock_find.return_value = sample_game\n\n result = self.client.get(f'edit/{sample_game_id}')\n self.assertEqual(result.status, '200 OK')\n self.assertIn(b'Fable', result.data)","def test_edit_resource(self):\n s1 = System()\n b1 = Books(\"1984\", \"George Orwell\", \"Harvill Secker\", \"1949\", \"0123456789123\")\n s1.edit_resource(b1, \"Animal Farm\")\n self.assertEqual(b1.get_title(), \"1984\")\n s1.add_resource(b1)\n s1.edit_resource(b1, \"Animal Farm\")\n self.assertEqual(b1.get_title(), \"Animal Farm\")","def test_form_editing(self):\n update = {\n 'title': 'Last Post (Final)',\n 'content': '### Goodbye!',\n 'is_published': True,\n }\n\n form = self.form_cls(update, instance=self.entry)\n\n form.save()\n\n actual = models.Entry.objects.get(pk=self.entry.pk)\n self.assertEquals(actual.title, update['title'])\n self.assertEquals(actual.content.raw, update['content'])\n self.assertIsNotNone(actual.published_timestamp)","def test_edit_tag(self):\r\n\r\n with app.test_client() as client:\r\n d = {\"name\": \"DC\"}\r\n resp = client.post(f\"/tags/{self.tag.id}/edit\", data=d, follow_redirects=True) \r\n html = resp.get_data(as_text=True)\r\n\r\n self.assertEqual(resp.status_code, 200) \r\n self.assertIn(\"DC\", html)","def test_edit_offer(self, mock_find):\n mock_find.return_value = sample_offer\n\n result = self.client.get(f'/offers/{sample_offer_id}')\n self.assertEqual(result.status, '200 OK')\n self.assertIn(b'Description', result.data)","def test_edit_rule(self):\n pass","def test_empty_ui(self):","def testOwnershipAfterEdit(self):\n self.simulateATGUIInteraction(task='edit')\n self.failUnlessEqual(self.person.getOwnerTuple()[1], 'abc123')","def test_e_editar_atributo(self): \n print '+++ Edicion de atributo +++'\n request = self._editar_atributo(nombre, 'descrip editada','String')\n print '*-- datos de prueba ::: ' + nombre+', '+ 'descrip editada' + ', ' + str(id_tipo_atributo) +' --*'\n self.assertNotIn('Debe loguearse primeramente!!!!', request.data, 'No se ha logueado correctamente')\n self.assertNotIn('No posee los permisos suficientes para realizar la operacion', request.data, 'No tiene permisos para editar atributos')\n self.assertNotIn('Error', request.data, 'Tiene errores el form')\n self.assertIn('El atributo ha sido editado con exito', request.data, 'Error al editar la atributo')\n print '*-- request result: ' + request._status + ' --*'\n self.assertIn(nombre, request.data, 'El atributo creado no se encuentra en la tabla')\n print '*-- '+nombre+' creado correctamente, aparece en la tabla de atributos--*'\n print '*---test 5 atributo---*'","def _test_display_up_button(self):\n return (self.product_displays.top_index > 0)","def test_inmate_edit_view(self):\n self.test_inmate_validation() # cheap way to get an inmate\n inmate = models.Inmate.objects.all()[0]\n c = Client()\n response = c.get('/lemur/inmate/edit/' + str(inmate.pk), follow=True)\n self.assertEqual(response.status_code, 200)","def test_tab_preview_html(self):\r\n preview_url = '/xblock/{}/student_view'.format(self.test_tab.location)\r\n\r\n resp = self.client.get(preview_url, HTTP_ACCEPT='application/json')\r\n self.assertEqual(resp.status_code, 200)\r\n resp_content = json.loads(resp.content)\r\n html = resp_content['html']\r\n\r\n # Verify that the HTML contains the expected elements\r\n self.assertIn('<span class=\"action-button-text\">Edit</span>', html)\r\n self.assertIn('<span class=\"sr\">Duplicate this component</span>', html)\r\n self.assertIn('<span class=\"sr\">Delete this component</span>', html)\r\n self.assertIn('<span data-tooltip=\"Drag to reorder\" class=\"drag-handle action\"></span>', html)","def showEditContact(self):","def test_get_context_data(self):\n self.view.object = self.obj\n context = self.view.get_context_data()\n self.assertIn(\"code\", context)\n self.assertIn(\"edit\", context)\n self.assertTrue(context[\"edit\"])","def test_add_button(self):\n btn = utils.add_button()\n self.assertIsInstance(btn, Button)","def test_add_button_appears(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertContains(response, self.url)","def _ClickPrimaryActionButton(self):\n self._ExecuteOobeApi('Oobe.clickGaiaPrimaryButtonForTesting')","def click_bulk_edit_submit_button(self):\n self.click_element(self.bulk_edit_submit_button_locator, True)","def test_instr_view_display(instr_view):\n show_and_close_widget(instr_view)","def test_handle_edit_not_admin(self):\n test_user = User(\"userid\")\n team = Team(\"BRS\", \"brs\", \"brS\")\n self.db.retrieve.return_value = test_user\n self.db.query.return_value = [team]\n with self.app.app_context():\n self.assertTupleEqual(self.testcommand.handle(\"team \"\n \"edit brs\", user),\n (self.testcommand.permission_error, 200))\n self.db.store.assert_not_called()","def soft_assert_cannot_make_proposal(info_page, soft_assert):\n soft_assert.expect(not info_page.is_propose_changes_btn_exists,\n \"'Propose Changes' button should not be displayed.\")","def test_showing_edit_patient_account(self):\n\n result = self.client.get(\"/patient/1/account/edit\")\n self.assertEqual(result.status_code, 200)\n self.assertIn(b\"Edit the information below.\", result.data)\n\n result = self.client.get(\"/patient/4/account/edit\",\n follow_redirects=True)\n self.assertEqual(result.status_code, 200)\n self.assertIn(b\"not authorized\", result.data)","def click_button(self):\n self.q(css='div#fixture button').first.click()","def test_confirm_customization_details(self):\n pass","def click_statement_fields_bulk_edit_button(self):\n self.click_element(self.statement_fields_bulk_edit_button_locator, True)","def click_bulk_edit_submit_button(self):\n self.click_element(self.bulk_edit_submit_button_locator)","def verify_popup(self, type):","def _editClickedSlot(self):\r\n\r\n index = self.propertiesTableView.selectionModel().currentIndex()\r\n if index.isValid():\r\n self.propertiesTableView.edit(index)","def test_update(self):\n # this is tested graphically, as it is UI\n pass","def test_the_data_edit_url(self):\n\n my_instance = Contact.objects.first()\n info_url = resolve('/to_form/%s/' % my_instance.id)\n self.assertEqual(info_url.func.__name__, 'my_edit_data')\n self.assertEqual(self.response.status_code, 200)","def test_edit_event(self):\n self.login()\n # Create event\n fakeName = fake.text()[0:100]\n date = datetime.now()\n self.create_event(fakeName, date)\n time.sleep(2)\n\n self.driver.get(self.live_server_url)\n self.assertEqual(self.live_server_url + \"/\",\n self.driver.current_url, \"Link redirects to other routes.\")\n time.sleep(2)\n\n # Get rendered values\n linkButton = self.driver.find_element_by_id(\"dropdownMenuLink\")\n linkButton.click()\n time.sleep(2)\n\n linkButton2 = self.driver.find_element_by_id(\"edit-event\")\n linkButton2.click()\n self.driver.implicitly_wait(15)\n\n # Form data\n newFakeName = fake.text()[0:100]\n newDueDate = datetime.now()\n\n # Set Event fields\n eventNameField = self.driver.find_element_by_id(\"id_name\")\n dueDateField = self.driver.find_element_by_id(\"id_date\")\n\n # Clear inputs\n eventNameField.clear()\n dueDateField.clear()\n\n self.driver.implicitly_wait(15)\n\n # Fill in event details\n eventNameField.send_keys(newFakeName)\n dueDateField.send_keys(newDueDate.strftime(\"%Y-%m-%d %H:%M:%S\"))\n\n # Submit Form\n time.sleep(10)\n self.driver.find_element_by_css_selector(\n 'input[type=\"submit\"]').click()\n\n # Verify that the event was saved\n self.assertEqual(self.live_server_url + \"/\", self.driver.current_url)\n\n # Verify that the event was edited\n eventName = self.driver.find_element_by_id(\n \"dropdownMenuLink\").get_attribute(\"innerText\").strip()\n self.assertEqual(eventName, newFakeName.strip())\n\n # Clean Test database\n Event.objects.all().delete()","def test_basic_edit(mgr):\n event_log.clear()\n\n # Starts with no value\n assert get_contact(mgr) == \"Not Present\"\n\n # Set a value\n change_contact(mgr, \"merge\", \"TestValue\")\n assert get_contact(mgr) == \"TestValue\"\n assert (\n event_log.find_change_in_log(\n event_log.load(),\n \"SR_EV_CHANGE\",\n {\n \"operation\": \"SR_OP_CREATED\",\n \"new-value\": \"TestValue\",\n \"new-path\": \"/ietf-system:system/contact\",\n },\n )\n is not None\n )\n event_log.clear()\n\n # Clear the value\n change_contact(mgr, \"delete\", \"TestValue\")\n assert get_contact(mgr) == \"Not Present\"\n assert (\n event_log.find_change_in_log(\n event_log.load(),\n \"SR_EV_CHANGE\",\n {\"operation\": \"SR_OP_DELETED\", \"old-path\": \"/ietf-system:system/contact\"},\n )\n is not None\n )","def test_editor_visibility(self):\r\n self.setup_user(roles=[\"Moderator\"])\r\n self.setup_view()\r\n page = DiscussionTabSingleThreadPage(self.browser, self.course_id, \"comment_edit_test_thread\")\r\n page.visit()\r\n self.assertTrue(page.is_comment_editable(\"comment_self_author\"))\r\n self.assertTrue(page.is_comment_editable(\"comment_other_author\"))\r\n self.assertTrue(page.is_add_comment_visible(\"response1\"))\r\n original_body = page.get_comment_body(\"comment_self_author\")\r\n page.start_comment_edit(\"comment_self_author\")\r\n self.assertFalse(page.is_add_comment_visible(\"response1\"))\r\n self.assertTrue(page.is_comment_editor_visible(\"comment_self_author\"))\r\n page.set_comment_editor_value(\"comment_self_author\", \"edited body\")\r\n page.start_comment_edit(\"comment_other_author\")\r\n self.assertFalse(page.is_comment_editor_visible(\"comment_self_author\"))\r\n self.assertTrue(page.is_comment_editor_visible(\"comment_other_author\"))\r\n self.assertEqual(page.get_comment_body(\"comment_self_author\"), original_body)\r\n page.start_response_edit(\"response1\")\r\n self.assertFalse(page.is_comment_editor_visible(\"comment_other_author\"))\r\n self.assertTrue(page.is_response_editor_visible(\"response1\"))\r\n original_body = page.get_comment_body(\"comment_self_author\")\r\n page.start_comment_edit(\"comment_self_author\")\r\n self.assertFalse(page.is_response_editor_visible(\"response1\"))\r\n self.assertTrue(page.is_comment_editor_visible(\"comment_self_author\"))\r\n page.cancel_comment_edit(\"comment_self_author\", original_body)\r\n self.assertFalse(page.is_comment_editor_visible(\"comment_self_author\"))\r\n self.assertTrue(page.is_add_comment_visible(\"response1\"))","def edit_draft(self):\r\n EmptyPromise(\r\n lambda: self.q(css='.create-draft').present,\r\n 'Wait for edit draft link to be present'\r\n ).fulfill()\r\n\r\n self.q(css='.create-draft').first.click()\r\n\r\n EmptyPromise(\r\n lambda: self.q(css='.editing-draft-alert').present,\r\n 'Wait for draft mode to be activated'\r\n ).fulfill()","def test_has_tagging_button(self):\n response = self.client.get(self.get_url(self.trait.pk))\n context = response.context\n self.assertTrue(context['show_tag_button'])\n self.assertContains(response, reverse('trait_browser:source:traits:tagging', kwargs={'pk': self.trait.pk}))","def test_has_tagging_button(self):\n response = self.client.get(self.get_url(self.trait.pk))\n context = response.context\n self.assertTrue(context['show_tag_button'])\n self.assertContains(response, reverse('trait_browser:source:traits:tagging', kwargs={'pk': self.trait.pk}))","def test_none_admin_edit(self):\n\n with self.client:\n token = self.customer()\n id = 1\n response = self.client.put('api/v1/meals/{}'.format(id),\n data=json.dumps(dict(\n meal_name=\"chips\",\n price=15000\n )),\n content_type='application/json',\n headers=({\"token\": token}))\n data = json.loads(response.data.decode())\n self.assertEqual(data.get('message'),\n \"Customer is not authorized to access this page\")\n self.assertEqual(response.status_code, 401)","def edit_user(self):\n from editWindow import EditPlayer\n self.edit = EditPlayer(self.lang, self.result_table.currentItem().text())\n self.edit.show()","def test_editor(self):\n # This checks for a correct vlaue.\n with unittest.mock.patch('builtins.input', return_value='Snow'):\n user_date, title, minutes, notes, stop = self.ec.editor(self.\n ec.entry)\n self.assertEqual(user_date, '01/04/1995')\n self.assertEqual(title, 'Snow')\n self.assertEqual(minutes, 15)\n self.assertEqual(notes, 'Snow')\n self.assertFalse(stop)\n # This checks for an incorrect vlaue.\n with unittest.mock.patch('builtins.input', return_value='q'):\n user_date, title, minutes, notes, stop = self.ec.editor(self.\n ec.entry)\n self.assertFalse(stop)"],"string":"[\n \"def click_the_edit_button_that_appears(driver):\\n driver.find_element_by_xpath(xpaths.users.eric_Edit_Button).click()\",\n \"def test_update_custom_button(self):\\n pass\",\n \"def test_delete_button_appears_edit(self):\\n response = self.client.get(reverse('wagtailnews:edit', kwargs={\\n 'pk': self.index.pk, 'newsitem_pk': self.newsitem.pk}))\\n self.assertContains(response, self.url)\",\n \"def assert_can_edit(selenium, obj, can_edit):\\n ui_service = _get_ui_service(selenium, obj=obj)\\n info_page = ui_service.open_info_page_of_obj(obj)\\n els_shown_for_editor = info_page.els_shown_for_editor()\\n assert [item.exists for item in els_shown_for_editor] == \\\\\\n [can_edit] * len(els_shown_for_editor)\\n if can_edit:\\n _assert_title_editable(obj, selenium, info_page)\",\n \"def test_that_logged_in_shows_edit_button(testapp):\\n testapp.post('/login', params={'Username': 'amos', 'Password': 'password'})\\n html = testapp.get('/journal/1').html\\n assert html.find('main').a.text == 'Edit'\",\n \"def test_edit_boat(self):\\n pass\",\n \"def edit(self):\\n\\n pass\",\n \"def test_edit(self):\\n # Test using the Trovebox class\\n html = self.client.photo.edit(self.photos[0])\\n self.assertIn(\\\"<form\\\", html.lower())\\n\\n # And the Photo object directly\\n html = self.photos[0].edit()\\n self.assertIn(\\\"<form\\\", html.lower())\",\n \"def test_show_tag_edit(self):\\r\\n\\r\\n with app.test_client() as client:\\r\\n resp = client.get(f\\\"/tags/{self.tag.id}/edit\\\")\\r\\n html = resp.get_data(as_text=True)\\r\\n\\r\\n self.assertEqual(resp.status_code, 200)\\r\\n self.assertIn(\\\"Edit Tag\\\", html)\\r\\n self.assertIn(self.tag.name, html)\",\n \"def edit():\",\n \"def _enter_edit_mode(self):\\n edit_mode = self.UTILS.element.getElement(DOM.DownloadManager.download_edit_button,\\n \\\"Download edit button\\\", True, 10)\\n edit_mode.tap()\\n self.UTILS.element.waitForElements(DOM.DownloadManager.downloads_edit_header_title,\\n \\\"Edit downloads header\\\")\",\n \"def is_edit(self):\\n return self._tag == 'edit'\",\n \"def test_edit(self):\\n\\n\\t\\titem_id = mock_item()[0]\\n\\n\\t\\titem_data = {'title': 'Item Two', 'author': 'Author Two',\\n\\t\\t\\t'location': 'Location Two'}\\n\\t\\tmodels.edit(item_id, item_data)\\n\\n\\t\\titem = models.item(item_id)\\n\\n\\t\\tself.assertEqual(item['title'], item_data['title'])\\n\\t\\tself.assertEqual(item['author'], item_data['author'])\\n\\t\\tself.assertEqual(item['location'], item_data['location'])\",\n \"def _assert_title_editable(obj, selenium, info_page):\\n new_title = \\\"[EDITED]\\\" + obj.title\\n info_page.three_bbs.select_edit()\\n modal = object_modal.get_modal_obj(obj.type, selenium)\\n modal.fill_form(title=new_title)\\n modal.save_and_close()\\n obj.update_attrs(\\n title=new_title, modified_by=users.current_user().email,\\n updated_at=rest_service.ObjectsInfoService().get_obj(\\n obj=obj).updated_at)\\n new_ui_obj = _get_ui_service(selenium, obj).get_obj_from_info_page(obj)\\n base.Test.general_equal_assert(\\n obj.repr_ui(), new_ui_obj, \\\"audit\\\", \\\"custom_attributes\\\")\",\n \"def the_user_edit_page_should_open(driver):\\n assert wait_on_element(driver, 7, xpaths.add_User.edit_Title)\\n time.sleep(0.5)\",\n \"def dummy():\\n\\t\\t\\tself.edit = True\",\n \"def test_no_delete_button_appears_edit(self):\\n response = self.client.get(reverse('wagtailnews:edit', kwargs={\\n 'pk': self.index.pk, 'newsitem_pk': self.newsitem.pk}))\\n self.assertNotContains(response, self.url)\",\n \"def test_delete_custom_button(self):\\n pass\",\n \"def test_edit(self):\\n r = main.List.connection()\\n main.List.add(r, \\\"ToDo\\\", 1, \\\"Buy apples\\\", 2, \\\"20.05.2015\\\")\\n main.List.edit(r, \\\"ToDo\\\", 1, \\\"Buy bananas, not apples\\\", 2, \\\"20.05.2015\\\")\\n task = main.List.pull_from_redis(r, \\\"ToDo\\\", False)\\n if task and task is not None:\\n check = task[\\\"1\\\"][\\\"description\\\"] == \\\"Buy bananas, not apples\\\"\\n self.assertTrue(check, \\\"Editing failed.\\\")\",\n \"def test_edit_view(self):\\n self.client.post(reverse('misago:admin:users:bans:new'), data={\\n 'check_type': '0',\\n 'banned_value': 'Admin',\\n })\\n\\n test_ban = Ban.objects.get(banned_value='admin')\\n form_link = reverse('misago:admin:users:bans:edit', kwargs={'pk': test_ban.pk})\\n\\n response = self.client.post(form_link, data={\\n 'check_type': '1',\\n 'banned_value': 'test@test.com',\\n 'user_message': 'Lorem ipsum dolor met',\\n 'staff_message': 'Sit amet elit',\\n 'expires_on': '',\\n })\\n self.assertEqual(response.status_code, 302)\\n\\n response = self.client.get(reverse('misago:admin:users:bans:index'))\\n response = self.client.get(response['location'])\\n self.assertEqual(response.status_code, 200)\\n self.assertContains(response, 'test@test.com')\",\n \"def test_edit(test_case, widget):\\n ensure_engine_exists()\\n # Create schem\\n Base.metadata.create_all(get_engine())\\n # Create editing UI\\n edit_ui = type(\\\"CustomEditUI\\\", (Ui_EditForm, PQSEditUI), {})\\n ui, s, u = None, None, None\\n # Switch test\\n print(test_case)\\n if test_case == \\\"add\\\":\\n ui = edit_ui(User)\\n elif test_case == \\\"edit-transient\\\":\\n ui = edit_ui(User(email=\\\"transient@users.org\\\", number=1))\\n else:\\n s = SessionFactory()\\n if test_case == \\\"edit-pending\\\":\\n u = User(email=\\\"pending@users.org\\\", number=2)\\n s.add(u)\\n ui = edit_ui(u, s)\\n elif test_case == \\\"edit-persistent\\\":\\n u = User(email=\\\"persistent@users.org\\\", number=3,\\n birthdate=datetime.date(1995, 9, 21))\\n s.add(u)\\n s.commit()\\n ui = edit_ui(u, s)\\n elif test_case == \\\"edit-persistent-wrong\\\":\\n s.execute(\\\"INSERT INTO users (email, number, birthdate) VALUES (\\\" +\\n \\\"\\\\\\\"persistent-wrongusers.org\\\\\\\", 4, \\\\\\\"2099-12-12\\\\\\\")\\\")\\n s.commit()\\n u = s.query(User).filter(\\n User.email == \\\"persistent-wrongusers.org\\\").first()\\n ui = edit_ui(u, s)\\n # Create UI\\n ui.setup_and_bind(widget, Ui_UserForm)\\n return ui, s, u\",\n \"def on_click(self) -> None:\\n self.editing = True\",\n \"def edit(self, **kwargs):\\n ...\",\n \"def test_create_custom_button(self):\\n pass\",\n \"def test_get_custom_button(self):\\n pass\",\n \"def editChange(self,editBtn):\\n if self.edit ==True:\\n self.updateDetails(\\\"normal\\\") #update details column\\n self.edit = False #switch boolean\\n self.editBtn.setText(\\\"Edit\\\") #update button text\\n else:\\n self.updateDetails(\\\"edit\\\") #update details column\\n self.edit= True #switch boolean\\n self.editBtn.setText(\\\"Stop Editing\\\") #update button text\",\n \"def test_visible_widgets(plugin_dialog):\\n\\n assert plugin_dialog.direct_entry_edit.isVisible()\\n assert plugin_dialog.direct_entry_btn.isVisible()\",\n \"def test_that_not_logged_in_does_not_shows_edit_button(testapp):\\n html = testapp.get('/journal/1').html\\n assert not html.find('main').a\",\n \"def click_bulk_edit_button(self):\\n self.click_element(self.bulk_edit_button_locator, True)\",\n \"def test_edit_view(self):\\n target_url = url_for('content.edit_content')\\n redirect_url = url_for('users.login', next=target_url)\\n response = self.client.get(target_url)\\n self.assertEqual(response.status_code, 302)\\n self.assertRedirects(response, redirect_url)\",\n \"def test_offers_edit(self, mock_find):\\n mock_find.return_value = sample_offer\\n\\n result = self.client.get(f'/offers/{sample_offer_id}/edit')\\n self.assertEqual(result.status, '200 OK')\\n self.assertIn(b'Edit This Offer', result.data)\",\n \"def test_get_edit(self):\\n response = self.get('/study/edit/1')\\n self.assertEqual(response.code, 200)\\n self.assertNotEqual(str(response.body), \\\"\\\")\",\n \"def test_author_view(self):\\n table = self.get_change_page_form(self.user_1_client, self.question_1.pk)\\n self.assertInHTML('<label>Title:</label><div class=\\\"readonly\\\">Lorem</div>', table)\\n # The label's `for` attribute is present only on editable fields\\n self.assertInHTML('<label class=\\\"required\\\" for=\\\"id_body\\\">Body:</label>', table)\\n self.assertInHTML(\\n '<label>Author:</label><div class=\\\"readonly\\\"><a href=\\\"/auth/user/2/change/\\\">user_1</a></div>', table)\\n self.assertInHTML(\\n '<div><label>Is published:</label><div class=\\\"readonly\\\"><img src=\\\"/static/admin/img/icon-yes.svg\\\" '\\n 'alt=\\\"True\\\"></div></div>', table)\",\n \"def test_edit_post():\\n driver = webdriver.Chrome()\\n driver.get('https://cmput404group10.herokuapp.com')\\n\\n username = driver.find_element_by_id(\\\"username\\\")\\n username.send_keys(\\\"ronWeasley\\\")\\n\\n password = driver.find_element_by_name(\\\"password\\\")\\n password.send_keys(\\\"ualberta123\\\")\\n\\n driver.find_element_by_xpath('/html/body/div/div/div/div/div/div/div[2]/div/form/div[3]/button').click()\\n\\n driver.find_element_by_xpath('//*[@id=\\\"accordionSidebar\\\"]/li[2]/a').click()\\n\\n assert driver.page_source.__contains__(\\\"Selenium Test\\\")\\n assert not driver.page_source.__contains__(\\\"Selenium Edit Post\\\")\\n\\n driver.find_element_by_link_text('Edit').click()\\n\\n title = driver.find_element_by_xpath('//*[@id=\\\"id_title\\\"]')\\n title.clear()\\n title.send_keys(\\\"Selenium Edit Post\\\")\\n\\n driver.find_element_by_xpath('//*[@id=\\\"content\\\"]/div/div/form/button').click()\\n assert driver.page_source.__contains__(\\\"Selenium Edit Post\\\")\",\n \"def test_edited(self):\\n event = Event.objects.all()[0]\\n\\n todo = TodoItem.objects.create(\\n event=event, completed=False, title=\\\"Test TODO4\\\",\\n due=datetime.date.today(), additional=\\\"\\\",\\n )\\n\\n url, form = self._get_initial_form('todo_edit', todo.pk)\\n form['title'] = \\\"Test TODO4 - new title\\\"\\n form['completed'] = True\\n form['additional'] = ''\\n\\n rv = self.client.post(reverse('todo_edit', args=[todo.pk]), form)\\n assert rv.status_code == 302\\n\\n todo.refresh_from_db()\\n\\n assert todo.title == \\\"Test TODO4 - new title\\\"\\n assert todo.completed is True\",\n \"def test_no_edit_button_appears(self):\\n response = self.client.get(reverse('wagtailnews:index', kwargs={\\n 'pk': self.index.pk}))\\n self.assertNotContains(response, self.url)\",\n \"def testMemberCanEdit(self):\\n self.client.login(username=\\\"admin\\\", password=\\\"test\\\")\\n response = self.client.get(reverse(\\\"task_detail\\\", args=[1]))\\n self.failUnlessEqual(response.status_code, 200)\\n self.failUnless(response.content.find(\\\"<h2>Edit</h2>\\\") != -1,\\n \\\"Authenticated users cannot edit tasks.\\\")\\n self.client.logout()\",\n \"def test_issue_edit_label(self):\\n pass\",\n \"def test_edit_alert_by_id(self):\\n pass\",\n \"def test_handle_edit(self):\\n test_user = User(\\\"userid\\\")\\n test_user.permissions_level = Permissions.admin\\n team = Team(\\\"BRS\\\", \\\"brs\\\", \\\"brS\\\")\\n team.platform = \\\"web\\\"\\n team_attach = [team.get_attachment()]\\n team.platform = \\\"iOS\\\"\\n team.display_name = \\\"b-s\\\"\\n self.db.retrieve.return_value = test_user\\n self.db.query.return_value = [team]\\n with self.app.app_context():\\n resp, code = self.testcommand.handle(\\\"team edit brs \\\"\\n \\\"--name brS \\\"\\n \\\"--platform web\\\", user)\\n expect = {'attachments': team_attach,\\n 'text': 'Team edited: brs, '\\n 'name: brS, '\\n 'platform: web'}\\n self.assertDictEqual(resp, expect)\\n self.assertEqual(code, 200)\\n self.db.store.assert_called_once_with(team)\",\n \"def soft_assert_role_cannot_be_edited(soft_assert, obj):\\n info_widget = factory.get_cls_webui_service(\\n objects.get_plural(obj.type))().open_info_page_of_obj(obj)\\n role_field_element = info_widget.role_to_edit\\n role_field_element.inline_edit.open()\\n # wait until new tab contains info page url\\n _, new_tab = browsers.get_browser().windows()\\n test_utils.wait_for(lambda: new_tab.url.endswith(url.Widget.INFO))\\n soft_assert.expect(not role_field_element.add_person_text_field.exists,\\n \\\"There should be no input field.\\\")\",\n \"def test_edit_mdt(self):\\n response = self.client.get(reverse('edit-mdt', args=[self.sample_type, self.mdt.id]))\\n self.assertContains(response, self.proband.gel_id)\\n self.assertEqual(response.status_code, 200)\",\n \"def test_provider_user_edit(self):\\n browser = self.browser\\n browser.get(self.base_url)\\n wait = WebDriverWait(browser, 10)\\n\\n user = self.getUser()\\n self.assertTrue(user.login())\\n\\n browser.get(self.base_url + \\\"user/me/edit\\\")\\n\\n pass1 = wait.until(\\n EC.visibility_of_element_located((By.ID, \\\"edit-pass-pass1\\\"))\\n )\\n pass1.send_keys('new_pswd')\\n\\n pass2 = wait.until(\\n EC.visibility_of_element_located((By.ID, \\\"edit-pass-pass2\\\"))\\n )\\n pass2.send_keys('new_pswd_foo')\\n\\n pass2.send_keys(Keys.RETURN)\\n\\n message = wait.until(\\n EC.visibility_of_element_located((By.CLASS_NAME, \\\"message--error\\\"))\\n )\\n print (message.text)\\n assert message.text == u'De indtastede oplysninger matcher ikke hinanden'\",\n \"def test_issue_edit_issue(self):\\n pass\",\n \"def OnToggleEdit(self, event):\\n\\t\\ttoggle = self.btn_edit.GetToggle()\\n\\t\\tif not toggle:\\n\\t\\t\\tif not util.gAuthen.Authenticate(util.ADMIN):\\n\\t\\t\\t\\tself.btn_edit.SetToggle(not toggle)\\n\\t\\t\\t\\treturn \\n\\t\\tself.UpdateToggle()\",\n \"def edit_button_clicked(self, obj):\\n handle = self.get_selected()\\n if handle:\\n note = self.dbstate.db.get_note_from_handle(handle)\\n try:\\n from .. import EditNote\\n EditNote(self.dbstate, self.uistate, self.track, note,\\n callertitle = self.callertitle,\\n extratype = [self.notetype] )\\n except WindowActiveError:\\n pass\",\n \"def test_edit_tool_page(self):\\n\\n\\n username,userpass = self.testdata.find_account_for('toolsubmitter')\\n\\n self.utils.account.login_as(username,userpass)\\n\\n self.contribtool.edit_tool_page(TOOLNAME,TOOLPAGEDATA)\",\n \"def edit(self,item=None):\\r\\n raise AbstractError\\r\\n return False\",\n \"def test_ui_menu(test):\\n assert hl.test_help_ui_menu(test) == test\",\n \"def assert_can_edit_asmt(selenium, asmt):\\n asmts_ui_service = webui_service.AssessmentsService(selenium)\\n info_page = asmts_ui_service.open_info_page_of_obj(asmt)\\n _assert_title_editable(asmt, selenium, info_page)\",\n \"def edit_form():\\n return template (\\\"edit\\\")\",\n \"def test_constructor_visible_widgets(plugin_dialog_constructor):\\n assert not plugin_dialog_constructor.direct_entry_edit.isVisible()\\n assert not plugin_dialog_constructor.direct_entry_btn.isVisible()\",\n \"def test_showing_edit_dietitian_account(self):\\n\\n result = self.client.get(\\\"/dietitian/1/account/edit\\\")\\n self.assertEqual(result.status_code, 200)\\n self.assertIn(b\\\"Edit your information\\\", result.data)\\n\\n result = self.client.get(\\\"/dietitian/2/account/edit\\\",\\n follow_redirects=True)\\n self.assertEqual(result.status_code, 200)\\n self.assertIn(b\\\"not authorized\\\", result.data)\",\n \"def after_successful_edit(self):\\n pass\",\n \"def check_TEAMS_exit_edit_mode_Button(driver = None,intervalWaitForPage = None,output = None):\\r\\n\\tglobal verify, log_path\\r\\n\\tpageLoadWaitInterval = intervalWaitForPage if intervalWaitForPage != None else 5\\r\\n\\tif (driver == None or output == None):\\r\\n\\t\\tprint \\\"ERROR in check_TEAMS_exit_edit_mode_Button(): Please send webdriver, and output as arguments.\\\"\\r\\n\\telse:\\r\\n\\t\\tdriver.set_page_load_timeout(pageLoadWaitInterval)\\r\\n\\t\\ttry:\\r\\n\\t\\t\\tverify = 0\\r\\n\\t\\t\\t#Admin Gear test\\r\\n\\t\\t\\ttry:\\r\\n\\t\\t\\t\\teditButton = WebDriverWait(driver, 15).until(EC.presence_of_element_located((By.ID,\\\"QA:CentricView:exitEditButton\\\")))\\r\\n\\t\\t\\t\\tif editButton.is_displayed() == False:\\r\\n\\t\\t\\t\\t\\toutput = writer(\\\"VERIFY:\\\\texitEditButton Absent\\\\tFAIL\\\",output)\\r\\n\\t\\t\\t\\telif editButton.is_displayed() == True:\\r\\n\\t\\t\\t\\t\\toutput = writer(\\\"VERIFY:\\\\texitEditButton Present\\\\tPASS\\\",output)\\r\\n\\t\\t\\t\\t\\tverify = 1\\r\\n\\t\\t\\texcept TimeoutException:\\r\\n\\t\\t\\t\\toutput = writer(\\\"INFO:\\\\tCatastrophic DOM Error\\\",output)\\r\\n\\t\\t\\t#-------------------------\\r\\n\\t\\texcept TimeoutException:\\r\\n\\t\\t\\toutput = writer(\\\"INFO:\\\\tgo to Admin iframe failed\\\",output)\\t\\r\\n\\treturn verify\",\n \"def save_edit(self):\\r\\n self.driver.find_element_by_xpath('//*[@id=\\\"vnos\\\"]/span[1]/div/a').click()\",\n \"def test_publication_view_edit(self):\\n \\n test_response = self.client.get('/papers/14-3-3-proteins-a-number-of-functions-for-a-numbered-protein/edit/')\\n self.assertEqual(test_response.status_code, 200)\\n self.assertTrue('publication' in test_response.context) \\n self.assertTemplateUsed(test_response, 'base.html')\\n self.assertTemplateUsed(test_response, 'publication_form.html') \\n self.assertEqual(test_response.context['publication'].pk, 1)\\n self.assertEqual(test_response.context['publication'].title, u'14-3-3 proteins: a number of functions for a numbered protein.')\\n\\n #verifies that a non-existent object returns a 404 error presuming there is no object with pk=2.\\n null_response = self.client.get('/papers/not-a-real-paper/edit/')\\n self.assertEqual(null_response.status_code, 404)\",\n \"def test_edit_has_populated_form(testapp, fill_the_db, login_testcase):\\n response = testapp.get('/journal/1/edit-entry', status=200)\\n title = response.html.find_all('input')[1]['value']\\n body = response.html.form.textarea.contents[0]\\n assert title == ENTRIES[0]['title']\\n assert body == ENTRIES[0]['body']\",\n \"def edit_event(self):\\n WebDriverWait(self.driver, 20).until(expected_conditions.presence_of_element_located((By.XPATH, '/html/body/div[4]/div[3]/div/div[2]/button'))).click()\\n\\n #elem = self.driver.find_elements(By.XPATH, \\\"/html/body/div[1]/div/div[3]/div/div[2]/div/div[2]/div[2]/div/div/div/div/div/div[11]/div/a/div/div[4]/div[2]/div/a[3]\\\")\\n elem = self.driver.find_element_by_xpath(\\\"/html/body/div[1]/div/div[3]/div/div[2]/div/div[2]/div[2]/div/div/div/div/div/div[11]/div/a/div/div[4]/div[2]/div/a[3]\\\")\\n actions = ActionChains(self.driver)\\n actions.move_to_element(elem).perform()\\n sleep(5)\\n WebDriverWait(self.driver, 20).until(expected_conditions.presence_of_element_located((By.XPATH, \\\"/html/body/div[1]/div/div[3]/div/div[2]/div/div[2]/div[2]/div/div/div/div/div/div[11]/div/a/div/div[4]/div[2]/div/a[3]\\\"))).click()\",\n \"def click_button(self):\\n self.q(css='div#fixture input').first.click()\",\n \"def test_staff_view(self):\\n table = self.get_change_page_form(self.staff_member_client, self.question_1.pk)\\n self.assertInHTML('<label>Title:</label><div class=\\\"readonly\\\">Lorem</div>', table)\\n # The label's `for` attribute is present only on editable fields\\n self.assertInHTML('<label>Body:</label><div class=\\\"readonly\\\">Foo bar</div>', table)\\n self.assertInHTML(\\n '<label>Author:</label><div class=\\\"readonly\\\"><a href=\\\"/auth/user/2/change/\\\">user_1</a></div>', table)\\n self.assertInHTML(\\n '<input type=\\\"checkbox\\\" name=\\\"is_published\\\" id=\\\"id_is_published\\\" checked=\\\"\\\">'\\n '<label class=\\\"vCheckboxLabel\\\" for=\\\"id_is_published\\\">Is published</label>', table)\",\n \"def test_edit_game(self, mock_find):\\n mock_find.return_value = sample_game\\n\\n result = self.client.get(f'edit/{sample_game_id}')\\n self.assertEqual(result.status, '200 OK')\\n self.assertIn(b'Fable', result.data)\",\n \"def test_edit_resource(self):\\n s1 = System()\\n b1 = Books(\\\"1984\\\", \\\"George Orwell\\\", \\\"Harvill Secker\\\", \\\"1949\\\", \\\"0123456789123\\\")\\n s1.edit_resource(b1, \\\"Animal Farm\\\")\\n self.assertEqual(b1.get_title(), \\\"1984\\\")\\n s1.add_resource(b1)\\n s1.edit_resource(b1, \\\"Animal Farm\\\")\\n self.assertEqual(b1.get_title(), \\\"Animal Farm\\\")\",\n \"def test_form_editing(self):\\n update = {\\n 'title': 'Last Post (Final)',\\n 'content': '### Goodbye!',\\n 'is_published': True,\\n }\\n\\n form = self.form_cls(update, instance=self.entry)\\n\\n form.save()\\n\\n actual = models.Entry.objects.get(pk=self.entry.pk)\\n self.assertEquals(actual.title, update['title'])\\n self.assertEquals(actual.content.raw, update['content'])\\n self.assertIsNotNone(actual.published_timestamp)\",\n \"def test_edit_tag(self):\\r\\n\\r\\n with app.test_client() as client:\\r\\n d = {\\\"name\\\": \\\"DC\\\"}\\r\\n resp = client.post(f\\\"/tags/{self.tag.id}/edit\\\", data=d, follow_redirects=True) \\r\\n html = resp.get_data(as_text=True)\\r\\n\\r\\n self.assertEqual(resp.status_code, 200) \\r\\n self.assertIn(\\\"DC\\\", html)\",\n \"def test_edit_offer(self, mock_find):\\n mock_find.return_value = sample_offer\\n\\n result = self.client.get(f'/offers/{sample_offer_id}')\\n self.assertEqual(result.status, '200 OK')\\n self.assertIn(b'Description', result.data)\",\n \"def test_edit_rule(self):\\n pass\",\n \"def test_empty_ui(self):\",\n \"def testOwnershipAfterEdit(self):\\n self.simulateATGUIInteraction(task='edit')\\n self.failUnlessEqual(self.person.getOwnerTuple()[1], 'abc123')\",\n \"def test_e_editar_atributo(self): \\n print '+++ Edicion de atributo +++'\\n request = self._editar_atributo(nombre, 'descrip editada','String')\\n print '*-- datos de prueba ::: ' + nombre+', '+ 'descrip editada' + ', ' + str(id_tipo_atributo) +' --*'\\n self.assertNotIn('Debe loguearse primeramente!!!!', request.data, 'No se ha logueado correctamente')\\n self.assertNotIn('No posee los permisos suficientes para realizar la operacion', request.data, 'No tiene permisos para editar atributos')\\n self.assertNotIn('Error', request.data, 'Tiene errores el form')\\n self.assertIn('El atributo ha sido editado con exito', request.data, 'Error al editar la atributo')\\n print '*-- request result: ' + request._status + ' --*'\\n self.assertIn(nombre, request.data, 'El atributo creado no se encuentra en la tabla')\\n print '*-- '+nombre+' creado correctamente, aparece en la tabla de atributos--*'\\n print '*---test 5 atributo---*'\",\n \"def _test_display_up_button(self):\\n return (self.product_displays.top_index > 0)\",\n \"def test_inmate_edit_view(self):\\n self.test_inmate_validation() # cheap way to get an inmate\\n inmate = models.Inmate.objects.all()[0]\\n c = Client()\\n response = c.get('/lemur/inmate/edit/' + str(inmate.pk), follow=True)\\n self.assertEqual(response.status_code, 200)\",\n \"def test_tab_preview_html(self):\\r\\n preview_url = '/xblock/{}/student_view'.format(self.test_tab.location)\\r\\n\\r\\n resp = self.client.get(preview_url, HTTP_ACCEPT='application/json')\\r\\n self.assertEqual(resp.status_code, 200)\\r\\n resp_content = json.loads(resp.content)\\r\\n html = resp_content['html']\\r\\n\\r\\n # Verify that the HTML contains the expected elements\\r\\n self.assertIn('<span class=\\\"action-button-text\\\">Edit</span>', html)\\r\\n self.assertIn('<span class=\\\"sr\\\">Duplicate this component</span>', html)\\r\\n self.assertIn('<span class=\\\"sr\\\">Delete this component</span>', html)\\r\\n self.assertIn('<span data-tooltip=\\\"Drag to reorder\\\" class=\\\"drag-handle action\\\"></span>', html)\",\n \"def showEditContact(self):\",\n \"def test_get_context_data(self):\\n self.view.object = self.obj\\n context = self.view.get_context_data()\\n self.assertIn(\\\"code\\\", context)\\n self.assertIn(\\\"edit\\\", context)\\n self.assertTrue(context[\\\"edit\\\"])\",\n \"def test_add_button(self):\\n btn = utils.add_button()\\n self.assertIsInstance(btn, Button)\",\n \"def test_add_button_appears(self):\\n response = self.client.get(reverse('wagtailnews:index', kwargs={\\n 'pk': self.index.pk}))\\n self.assertContains(response, self.url)\",\n \"def _ClickPrimaryActionButton(self):\\n self._ExecuteOobeApi('Oobe.clickGaiaPrimaryButtonForTesting')\",\n \"def click_bulk_edit_submit_button(self):\\n self.click_element(self.bulk_edit_submit_button_locator, True)\",\n \"def test_instr_view_display(instr_view):\\n show_and_close_widget(instr_view)\",\n \"def test_handle_edit_not_admin(self):\\n test_user = User(\\\"userid\\\")\\n team = Team(\\\"BRS\\\", \\\"brs\\\", \\\"brS\\\")\\n self.db.retrieve.return_value = test_user\\n self.db.query.return_value = [team]\\n with self.app.app_context():\\n self.assertTupleEqual(self.testcommand.handle(\\\"team \\\"\\n \\\"edit brs\\\", user),\\n (self.testcommand.permission_error, 200))\\n self.db.store.assert_not_called()\",\n \"def soft_assert_cannot_make_proposal(info_page, soft_assert):\\n soft_assert.expect(not info_page.is_propose_changes_btn_exists,\\n \\\"'Propose Changes' button should not be displayed.\\\")\",\n \"def test_showing_edit_patient_account(self):\\n\\n result = self.client.get(\\\"/patient/1/account/edit\\\")\\n self.assertEqual(result.status_code, 200)\\n self.assertIn(b\\\"Edit the information below.\\\", result.data)\\n\\n result = self.client.get(\\\"/patient/4/account/edit\\\",\\n follow_redirects=True)\\n self.assertEqual(result.status_code, 200)\\n self.assertIn(b\\\"not authorized\\\", result.data)\",\n \"def click_button(self):\\n self.q(css='div#fixture button').first.click()\",\n \"def test_confirm_customization_details(self):\\n pass\",\n \"def click_statement_fields_bulk_edit_button(self):\\n self.click_element(self.statement_fields_bulk_edit_button_locator, True)\",\n \"def click_bulk_edit_submit_button(self):\\n self.click_element(self.bulk_edit_submit_button_locator)\",\n \"def verify_popup(self, type):\",\n \"def _editClickedSlot(self):\\r\\n\\r\\n index = self.propertiesTableView.selectionModel().currentIndex()\\r\\n if index.isValid():\\r\\n self.propertiesTableView.edit(index)\",\n \"def test_update(self):\\n # this is tested graphically, as it is UI\\n pass\",\n \"def test_the_data_edit_url(self):\\n\\n my_instance = Contact.objects.first()\\n info_url = resolve('/to_form/%s/' % my_instance.id)\\n self.assertEqual(info_url.func.__name__, 'my_edit_data')\\n self.assertEqual(self.response.status_code, 200)\",\n \"def test_edit_event(self):\\n self.login()\\n # Create event\\n fakeName = fake.text()[0:100]\\n date = datetime.now()\\n self.create_event(fakeName, date)\\n time.sleep(2)\\n\\n self.driver.get(self.live_server_url)\\n self.assertEqual(self.live_server_url + \\\"/\\\",\\n self.driver.current_url, \\\"Link redirects to other routes.\\\")\\n time.sleep(2)\\n\\n # Get rendered values\\n linkButton = self.driver.find_element_by_id(\\\"dropdownMenuLink\\\")\\n linkButton.click()\\n time.sleep(2)\\n\\n linkButton2 = self.driver.find_element_by_id(\\\"edit-event\\\")\\n linkButton2.click()\\n self.driver.implicitly_wait(15)\\n\\n # Form data\\n newFakeName = fake.text()[0:100]\\n newDueDate = datetime.now()\\n\\n # Set Event fields\\n eventNameField = self.driver.find_element_by_id(\\\"id_name\\\")\\n dueDateField = self.driver.find_element_by_id(\\\"id_date\\\")\\n\\n # Clear inputs\\n eventNameField.clear()\\n dueDateField.clear()\\n\\n self.driver.implicitly_wait(15)\\n\\n # Fill in event details\\n eventNameField.send_keys(newFakeName)\\n dueDateField.send_keys(newDueDate.strftime(\\\"%Y-%m-%d %H:%M:%S\\\"))\\n\\n # Submit Form\\n time.sleep(10)\\n self.driver.find_element_by_css_selector(\\n 'input[type=\\\"submit\\\"]').click()\\n\\n # Verify that the event was saved\\n self.assertEqual(self.live_server_url + \\\"/\\\", self.driver.current_url)\\n\\n # Verify that the event was edited\\n eventName = self.driver.find_element_by_id(\\n \\\"dropdownMenuLink\\\").get_attribute(\\\"innerText\\\").strip()\\n self.assertEqual(eventName, newFakeName.strip())\\n\\n # Clean Test database\\n Event.objects.all().delete()\",\n \"def test_basic_edit(mgr):\\n event_log.clear()\\n\\n # Starts with no value\\n assert get_contact(mgr) == \\\"Not Present\\\"\\n\\n # Set a value\\n change_contact(mgr, \\\"merge\\\", \\\"TestValue\\\")\\n assert get_contact(mgr) == \\\"TestValue\\\"\\n assert (\\n event_log.find_change_in_log(\\n event_log.load(),\\n \\\"SR_EV_CHANGE\\\",\\n {\\n \\\"operation\\\": \\\"SR_OP_CREATED\\\",\\n \\\"new-value\\\": \\\"TestValue\\\",\\n \\\"new-path\\\": \\\"/ietf-system:system/contact\\\",\\n },\\n )\\n is not None\\n )\\n event_log.clear()\\n\\n # Clear the value\\n change_contact(mgr, \\\"delete\\\", \\\"TestValue\\\")\\n assert get_contact(mgr) == \\\"Not Present\\\"\\n assert (\\n event_log.find_change_in_log(\\n event_log.load(),\\n \\\"SR_EV_CHANGE\\\",\\n {\\\"operation\\\": \\\"SR_OP_DELETED\\\", \\\"old-path\\\": \\\"/ietf-system:system/contact\\\"},\\n )\\n is not None\\n )\",\n \"def test_editor_visibility(self):\\r\\n self.setup_user(roles=[\\\"Moderator\\\"])\\r\\n self.setup_view()\\r\\n page = DiscussionTabSingleThreadPage(self.browser, self.course_id, \\\"comment_edit_test_thread\\\")\\r\\n page.visit()\\r\\n self.assertTrue(page.is_comment_editable(\\\"comment_self_author\\\"))\\r\\n self.assertTrue(page.is_comment_editable(\\\"comment_other_author\\\"))\\r\\n self.assertTrue(page.is_add_comment_visible(\\\"response1\\\"))\\r\\n original_body = page.get_comment_body(\\\"comment_self_author\\\")\\r\\n page.start_comment_edit(\\\"comment_self_author\\\")\\r\\n self.assertFalse(page.is_add_comment_visible(\\\"response1\\\"))\\r\\n self.assertTrue(page.is_comment_editor_visible(\\\"comment_self_author\\\"))\\r\\n page.set_comment_editor_value(\\\"comment_self_author\\\", \\\"edited body\\\")\\r\\n page.start_comment_edit(\\\"comment_other_author\\\")\\r\\n self.assertFalse(page.is_comment_editor_visible(\\\"comment_self_author\\\"))\\r\\n self.assertTrue(page.is_comment_editor_visible(\\\"comment_other_author\\\"))\\r\\n self.assertEqual(page.get_comment_body(\\\"comment_self_author\\\"), original_body)\\r\\n page.start_response_edit(\\\"response1\\\")\\r\\n self.assertFalse(page.is_comment_editor_visible(\\\"comment_other_author\\\"))\\r\\n self.assertTrue(page.is_response_editor_visible(\\\"response1\\\"))\\r\\n original_body = page.get_comment_body(\\\"comment_self_author\\\")\\r\\n page.start_comment_edit(\\\"comment_self_author\\\")\\r\\n self.assertFalse(page.is_response_editor_visible(\\\"response1\\\"))\\r\\n self.assertTrue(page.is_comment_editor_visible(\\\"comment_self_author\\\"))\\r\\n page.cancel_comment_edit(\\\"comment_self_author\\\", original_body)\\r\\n self.assertFalse(page.is_comment_editor_visible(\\\"comment_self_author\\\"))\\r\\n self.assertTrue(page.is_add_comment_visible(\\\"response1\\\"))\",\n \"def edit_draft(self):\\r\\n EmptyPromise(\\r\\n lambda: self.q(css='.create-draft').present,\\r\\n 'Wait for edit draft link to be present'\\r\\n ).fulfill()\\r\\n\\r\\n self.q(css='.create-draft').first.click()\\r\\n\\r\\n EmptyPromise(\\r\\n lambda: self.q(css='.editing-draft-alert').present,\\r\\n 'Wait for draft mode to be activated'\\r\\n ).fulfill()\",\n \"def test_has_tagging_button(self):\\n response = self.client.get(self.get_url(self.trait.pk))\\n context = response.context\\n self.assertTrue(context['show_tag_button'])\\n self.assertContains(response, reverse('trait_browser:source:traits:tagging', kwargs={'pk': self.trait.pk}))\",\n \"def test_has_tagging_button(self):\\n response = self.client.get(self.get_url(self.trait.pk))\\n context = response.context\\n self.assertTrue(context['show_tag_button'])\\n self.assertContains(response, reverse('trait_browser:source:traits:tagging', kwargs={'pk': self.trait.pk}))\",\n \"def test_none_admin_edit(self):\\n\\n with self.client:\\n token = self.customer()\\n id = 1\\n response = self.client.put('api/v1/meals/{}'.format(id),\\n data=json.dumps(dict(\\n meal_name=\\\"chips\\\",\\n price=15000\\n )),\\n content_type='application/json',\\n headers=({\\\"token\\\": token}))\\n data = json.loads(response.data.decode())\\n self.assertEqual(data.get('message'),\\n \\\"Customer is not authorized to access this page\\\")\\n self.assertEqual(response.status_code, 401)\",\n \"def edit_user(self):\\n from editWindow import EditPlayer\\n self.edit = EditPlayer(self.lang, self.result_table.currentItem().text())\\n self.edit.show()\",\n \"def test_editor(self):\\n # This checks for a correct vlaue.\\n with unittest.mock.patch('builtins.input', return_value='Snow'):\\n user_date, title, minutes, notes, stop = self.ec.editor(self.\\n ec.entry)\\n self.assertEqual(user_date, '01/04/1995')\\n self.assertEqual(title, 'Snow')\\n self.assertEqual(minutes, 15)\\n self.assertEqual(notes, 'Snow')\\n self.assertFalse(stop)\\n # This checks for an incorrect vlaue.\\n with unittest.mock.patch('builtins.input', return_value='q'):\\n user_date, title, minutes, notes, stop = self.ec.editor(self.\\n ec.entry)\\n self.assertFalse(stop)\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.73463446","0.7318908","0.71983856","0.7112342","0.7079817","0.703186","0.69559354","0.69065946","0.68714213","0.6804673","0.66963583","0.66772723","0.66686046","0.66202444","0.6597754","0.6578515","0.654788","0.6525747","0.6478392","0.647718","0.647047","0.64474505","0.64473706","0.6430685","0.6421436","0.6396625","0.6390948","0.6377142","0.63668096","0.6355986","0.6354384","0.63382554","0.63230187","0.6319145","0.63186115","0.62945676","0.6276896","0.622862","0.6221577","0.6205369","0.61894953","0.61881125","0.61864775","0.618025","0.6179752","0.6178973","0.6176286","0.6162174","0.6143911","0.6126968","0.6125917","0.611723","0.6088282","0.6056664","0.6026122","0.60253304","0.60247326","0.6024603","0.60200363","0.59818774","0.596598","0.59659195","0.59578747","0.5942205","0.59373844","0.5927877","0.5924629","0.5919718","0.59078693","0.58933353","0.5870714","0.5858331","0.58581233","0.5852606","0.58432657","0.5825274","0.58012307","0.57956105","0.57890123","0.5787087","0.5770429","0.5759205","0.5751403","0.5750232","0.5748412","0.57451075","0.5734203","0.5733059","0.5729606","0.57268137","0.5725169","0.5716838","0.57096636","0.5685512","0.5683204","0.5678869","0.5678869","0.56788266","0.56766","0.5676489"],"string":"[\n \"0.73463446\",\n \"0.7318908\",\n \"0.71983856\",\n \"0.7112342\",\n \"0.7079817\",\n \"0.703186\",\n \"0.69559354\",\n \"0.69065946\",\n \"0.68714213\",\n \"0.6804673\",\n \"0.66963583\",\n \"0.66772723\",\n \"0.66686046\",\n \"0.66202444\",\n \"0.6597754\",\n \"0.6578515\",\n \"0.654788\",\n \"0.6525747\",\n \"0.6478392\",\n \"0.647718\",\n \"0.647047\",\n \"0.64474505\",\n \"0.64473706\",\n \"0.6430685\",\n \"0.6421436\",\n \"0.6396625\",\n \"0.6390948\",\n \"0.6377142\",\n \"0.63668096\",\n \"0.6355986\",\n \"0.6354384\",\n \"0.63382554\",\n \"0.63230187\",\n \"0.6319145\",\n \"0.63186115\",\n \"0.62945676\",\n \"0.6276896\",\n \"0.622862\",\n \"0.6221577\",\n \"0.6205369\",\n \"0.61894953\",\n \"0.61881125\",\n \"0.61864775\",\n \"0.618025\",\n \"0.6179752\",\n \"0.6178973\",\n \"0.6176286\",\n \"0.6162174\",\n \"0.6143911\",\n \"0.6126968\",\n \"0.6125917\",\n \"0.611723\",\n \"0.6088282\",\n \"0.6056664\",\n \"0.6026122\",\n \"0.60253304\",\n \"0.60247326\",\n \"0.6024603\",\n \"0.60200363\",\n \"0.59818774\",\n \"0.596598\",\n \"0.59659195\",\n \"0.59578747\",\n \"0.5942205\",\n \"0.59373844\",\n \"0.5927877\",\n \"0.5924629\",\n \"0.5919718\",\n \"0.59078693\",\n \"0.58933353\",\n \"0.5870714\",\n \"0.5858331\",\n \"0.58581233\",\n \"0.5852606\",\n \"0.58432657\",\n \"0.5825274\",\n \"0.58012307\",\n \"0.57956105\",\n \"0.57890123\",\n \"0.5787087\",\n \"0.5770429\",\n \"0.5759205\",\n \"0.5751403\",\n \"0.5750232\",\n \"0.5748412\",\n \"0.57451075\",\n \"0.5734203\",\n \"0.5733059\",\n \"0.5729606\",\n \"0.57268137\",\n \"0.5725169\",\n \"0.5716838\",\n \"0.57096636\",\n \"0.5685512\",\n \"0.5683204\",\n \"0.5678869\",\n \"0.5678869\",\n \"0.56788266\",\n \"0.56766\",\n \"0.5676489\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.76415926"},"document_rank":{"kind":"string","value":"0"}}},{"rowIdx":86774,"cells":{"query":{"kind":"string","value":"Test that the edit button does not appear"},"document":{"kind":"string","value":"def test_no_edit_button_appears(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertNotContains(response, self.url)"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def test_no_delete_button_appears_edit(self):\n response = self.client.get(reverse('wagtailnews:edit', kwargs={\n 'pk': self.index.pk, 'newsitem_pk': self.newsitem.pk}))\n self.assertNotContains(response, self.url)","def test_that_not_logged_in_does_not_shows_edit_button(testapp):\n html = testapp.get('/journal/1').html\n assert not html.find('main').a","def test_edit_button_appears(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertContains(response, self.url)","def dummy():\n\t\t\tself.edit = True","def test_delete_button_appears_edit(self):\n response = self.client.get(reverse('wagtailnews:edit', kwargs={\n 'pk': self.index.pk, 'newsitem_pk': self.newsitem.pk}))\n self.assertContains(response, self.url)","def test_update_custom_button(self):\n pass","def test_empty_ui(self):","def test_edit_boat(self):\n pass","def test_handle_edit_not_admin(self):\n test_user = User(\"userid\")\n team = Team(\"BRS\", \"brs\", \"brS\")\n self.db.retrieve.return_value = test_user\n self.db.query.return_value = [team]\n with self.app.app_context():\n self.assertTupleEqual(self.testcommand.handle(\"team \"\n \"edit brs\", user),\n (self.testcommand.permission_error, 200))\n self.db.store.assert_not_called()","def soft_assert_role_cannot_be_edited(soft_assert, obj):\n info_widget = factory.get_cls_webui_service(\n objects.get_plural(obj.type))().open_info_page_of_obj(obj)\n role_field_element = info_widget.role_to_edit\n role_field_element.inline_edit.open()\n # wait until new tab contains info page url\n _, new_tab = browsers.get_browser().windows()\n test_utils.wait_for(lambda: new_tab.url.endswith(url.Widget.INFO))\n soft_assert.expect(not role_field_element.add_person_text_field.exists,\n \"There should be no input field.\")","def is_edit(self):\n return self._tag == 'edit'","def test_delete_custom_button(self):\n pass","def soft_assert_cannot_make_proposal(info_page, soft_assert):\n soft_assert.expect(not info_page.is_propose_changes_btn_exists,\n \"'Propose Changes' button should not be displayed.\")","def click_the_edit_button_that_appears(driver):\n driver.find_element_by_xpath(xpaths.users.eric_Edit_Button).click()","def edit(self):\n\n pass","def assert_can_edit(selenium, obj, can_edit):\n ui_service = _get_ui_service(selenium, obj=obj)\n info_page = ui_service.open_info_page_of_obj(obj)\n els_shown_for_editor = info_page.els_shown_for_editor()\n assert [item.exists for item in els_shown_for_editor] == \\\n [can_edit] * len(els_shown_for_editor)\n if can_edit:\n _assert_title_editable(obj, selenium, info_page)","def test_edit(self):\n # Test using the Trovebox class\n html = self.client.photo.edit(self.photos[0])\n self.assertIn(\"<form\", html.lower())\n\n # And the Photo object directly\n html = self.photos[0].edit()\n self.assertIn(\"<form\", html.lower())","def test_constructor_visible_widgets(plugin_dialog_constructor):\n assert not plugin_dialog_constructor.direct_entry_edit.isVisible()\n assert not plugin_dialog_constructor.direct_entry_btn.isVisible()","def edit():","def test_only_edit_perm(self):\n self.assertStatusCode(self.url, 403)","def test_none_admin_edit(self):\n\n with self.client:\n token = self.customer()\n id = 1\n response = self.client.put('api/v1/meals/{}'.format(id),\n data=json.dumps(dict(\n meal_name=\"chips\",\n price=15000\n )),\n content_type='application/json',\n headers=({\"token\": token}))\n data = json.loads(response.data.decode())\n self.assertEqual(data.get('message'),\n \"Customer is not authorized to access this page\")\n self.assertEqual(response.status_code, 401)","def _check_is_editable(self, raise_error: bool = True) -> bool:","def test_get_edit(self):\n response = self.get('/study/edit/1')\n self.assertEqual(response.code, 200)\n self.assertNotEqual(str(response.body), \"\")","def OnToggleEdit(self, event):\n\t\ttoggle = self.btn_edit.GetToggle()\n\t\tif not toggle:\n\t\t\tif not util.gAuthen.Authenticate(util.ADMIN):\n\t\t\t\tself.btn_edit.SetToggle(not toggle)\n\t\t\t\treturn \n\t\tself.UpdateToggle()","def test_that_logged_in_shows_edit_button(testapp):\n testapp.post('/login', params={'Username': 'amos', 'Password': 'password'})\n html = testapp.get('/journal/1').html\n assert html.find('main').a.text == 'Edit'","def soft_assert_cannot_update_predefined_field(soft_assert, obj):\n field_element = factory.get_cls_webui_service(objects.get_plural(\n obj.type))().open_info_page_of_obj(obj).predefined_field\n field_element.inline_edit.open()\n soft_assert.expect(not field_element.input.exist,\n \"There should be no input field.\")","def test_show_tag_edit(self):\r\n\r\n with app.test_client() as client:\r\n resp = client.get(f\"/tags/{self.tag.id}/edit\")\r\n html = resp.get_data(as_text=True)\r\n\r\n self.assertEqual(resp.status_code, 200)\r\n self.assertIn(\"Edit Tag\", html)\r\n self.assertIn(self.tag.name, html)","def edit(self,item=None):\r\n raise AbstractError\r\n return False","def test_visible_widgets(plugin_dialog):\n\n assert plugin_dialog.direct_entry_edit.isVisible()\n assert plugin_dialog.direct_entry_btn.isVisible()","def test_no_tagging_button(self):\n response = self.client.get(self.get_url(self.trait.pk))\n context = response.context\n self.assertNotContains(response, reverse('trait_browser:source:traits:tagging', kwargs={'pk': self.trait.pk}))\n self.assertFalse(context['show_tag_button'])","def test_can_not_add_more(self):\n set_up_one_user(self, 1, 0)\n login = self.client.login(username='test', password='2HJ1vRV0Z&3iD')\n response = self.client.get(reverse('index'))\n self.assertEqual(response.status_code, 200)\n self.assertContains(response, '<button id=\"modalButton\" type=\"button\" class=\"btn btn-info\" data-toggle=\"modal\" data-target=\"#myModal\" disabled=\"True\">Add new notification</button>')","def test_no_add_button_appears(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertNotContains(response, self.url)","def test_edit(test_case, widget):\n ensure_engine_exists()\n # Create schem\n Base.metadata.create_all(get_engine())\n # Create editing UI\n edit_ui = type(\"CustomEditUI\", (Ui_EditForm, PQSEditUI), {})\n ui, s, u = None, None, None\n # Switch test\n print(test_case)\n if test_case == \"add\":\n ui = edit_ui(User)\n elif test_case == \"edit-transient\":\n ui = edit_ui(User(email=\"transient@users.org\", number=1))\n else:\n s = SessionFactory()\n if test_case == \"edit-pending\":\n u = User(email=\"pending@users.org\", number=2)\n s.add(u)\n ui = edit_ui(u, s)\n elif test_case == \"edit-persistent\":\n u = User(email=\"persistent@users.org\", number=3,\n birthdate=datetime.date(1995, 9, 21))\n s.add(u)\n s.commit()\n ui = edit_ui(u, s)\n elif test_case == \"edit-persistent-wrong\":\n s.execute(\"INSERT INTO users (email, number, birthdate) VALUES (\" +\n \"\\\"persistent-wrongusers.org\\\", 4, \\\"2099-12-12\\\")\")\n s.commit()\n u = s.query(User).filter(\n User.email == \"persistent-wrongusers.org\").first()\n ui = edit_ui(u, s)\n # Create UI\n ui.setup_and_bind(widget, Ui_UserForm)\n return ui, s, u","def test_edit_tag_invalid(self):\r\n\r\n with app.test_client() as client: \r\n d = {\"name\": \"\"}\r\n resp = client.post(f\"/tags/{self.tag.id}/edit\", data=d, follow_redirects=True)\r\n html = resp.get_data(as_text=True)\r\n\r\n self.assertEqual(resp.status_code, 200)\r\n self.assertIn(\"Please enter tag name\", html)","def test_readonly_submit_row__without__read_only_permissions(self) -> None:\n Permission.objects.filter(\n codename__startswith=settings.READ_ONLY_ADMIN_PERMISSION_PREFIX\n ).delete()\n\n user = User.objects.first()\n request: HttpRequest = HttpRequest()\n request.user = user # type: ignore\n context: RequestContext = RequestContext(\n request=request,\n dict_={\n \"user\": user,\n \"add\": True,\n \"change\": True,\n \"is_popup\": False,\n \"save_as\": True,\n \"has_add_permission\": True,\n \"has_change_permission\": True,\n \"has_view_permission\": True,\n \"has_editable_inline_admin_formsets\": False,\n \"has_delete_permission\": True,\n \"opts\": \"auth.user\",\n \"request\": request,\n },\n )\n result: Context = readonly_submit_row(context=context)\n\n self.assertTrue(expr=result[\"show_delete_link\"])\n self.assertTrue(expr=result[\"show_save_and_add_another\"])\n self.assertTrue(expr=result[\"show_save_and_continue\"])\n self.assertTrue(expr=result[\"show_save\"])","def on_click(self) -> None:\n self.editing = True","def test_issue_edit_issue(self):\n pass","def testMemberCanEdit(self):\n self.client.login(username=\"admin\", password=\"test\")\n response = self.client.get(reverse(\"task_detail\", args=[1]))\n self.failUnlessEqual(response.status_code, 200)\n self.failUnless(response.content.find(\"<h2>Edit</h2>\") != -1,\n \"Authenticated users cannot edit tasks.\")\n self.client.logout()","def test_edit_view(self):\n target_url = url_for('content.edit_content')\n redirect_url = url_for('users.login', next=target_url)\n response = self.client.get(target_url)\n self.assertEqual(response.status_code, 302)\n self.assertRedirects(response, redirect_url)","def test_create_custom_button(self):\n pass","def testAnonymousCannotEdit(self):\n response = self.client.get(reverse(\"task_detail\", args=[1]))\n self.failUnlessEqual(response.status_code, 200)\n self.failUnless(response.content.find(\"<h2>Edit</h2>\") == -1,\n \"Anonymous user is able to edit tasks.\")","def test_edit(self):\n r = main.List.connection()\n main.List.add(r, \"ToDo\", 1, \"Buy apples\", 2, \"20.05.2015\")\n main.List.edit(r, \"ToDo\", 1, \"Buy bananas, not apples\", 2, \"20.05.2015\")\n task = main.List.pull_from_redis(r, \"ToDo\", False)\n if task and task is not None:\n check = task[\"1\"][\"description\"] == \"Buy bananas, not apples\"\n self.assertTrue(check, \"Editing failed.\")","def can_edit(self):\n return self.state not in (\n 'scanning', 'resulted', 'cancelled', 'aborted')","def test_edit(self):\n\n\t\titem_id = mock_item()[0]\n\n\t\titem_data = {'title': 'Item Two', 'author': 'Author Two',\n\t\t\t'location': 'Location Two'}\n\t\tmodels.edit(item_id, item_data)\n\n\t\titem = models.item(item_id)\n\n\t\tself.assertEqual(item['title'], item_data['title'])\n\t\tself.assertEqual(item['author'], item_data['author'])\n\t\tself.assertEqual(item['location'], item_data['location'])","def editChange(self,editBtn):\n if self.edit ==True:\n self.updateDetails(\"normal\") #update details column\n self.edit = False #switch boolean\n self.editBtn.setText(\"Edit\") #update button text\n else:\n self.updateDetails(\"edit\") #update details column\n self.edit= True #switch boolean\n self.editBtn.setText(\"Stop Editing\") #update button text","def test_edit_view(self):\n self.client.post(reverse('misago:admin:users:bans:new'), data={\n 'check_type': '0',\n 'banned_value': 'Admin',\n })\n\n test_ban = Ban.objects.get(banned_value='admin')\n form_link = reverse('misago:admin:users:bans:edit', kwargs={'pk': test_ban.pk})\n\n response = self.client.post(form_link, data={\n 'check_type': '1',\n 'banned_value': 'test@test.com',\n 'user_message': 'Lorem ipsum dolor met',\n 'staff_message': 'Sit amet elit',\n 'expires_on': '',\n })\n self.assertEqual(response.status_code, 302)\n\n response = self.client.get(reverse('misago:admin:users:bans:index'))\n response = self.client.get(response['location'])\n self.assertEqual(response.status_code, 200)\n self.assertContains(response, 'test@test.com')","def test_issue_edit_label(self):\n pass","def edit(self, **kwargs):\n ...","def _test_display_up_button(self):\n return (self.product_displays.top_index > 0)","def test_readonly_submit_row__without__read_only_permissions__for_superuser(\n self,\n ) -> None:\n user = User.objects.first()\n user.is_superuser = True # type: ignore\n user.save(update_fields=[\"is_superuser\"]) # type: ignore\n request: HttpRequest = HttpRequest()\n request.user = user # type: ignore\n context: RequestContext = RequestContext(\n request=request,\n dict_={\n \"user\": user,\n \"add\": True,\n \"change\": True,\n \"is_popup\": False,\n \"save_as\": True,\n \"has_add_permission\": True,\n \"has_change_permission\": True,\n \"has_view_permission\": True,\n \"has_editable_inline_admin_formsets\": False,\n \"has_delete_permission\": True,\n \"opts\": \"auth.user\",\n \"request\": request,\n },\n )\n result: Context = readonly_submit_row(context=context)\n\n self.assertTrue(expr=result[\"show_delete_link\"])\n self.assertTrue(expr=result[\"show_save_and_add_another\"])\n self.assertTrue(expr=result[\"show_save_and_continue\"])\n self.assertTrue(expr=result[\"show_save\"])","def click_bulk_edit_cancel_button(self):\n self.click_element(self.bulk_edit_cancel_button_locator, True)","def raise_not_editable(self, viewer):\n if viewer.has_perm(\"bookwyrm.edit_instance_settings\"):\n return\n raise PermissionDenied()","def test_get_custom_button(self):\n pass","def test_ui_menu(test):\n assert hl.test_help_ui_menu(test) == test","def testOwnershipAfterEdit(self):\n self.simulateATGUIInteraction(task='edit')\n self.failUnlessEqual(self.person.getOwnerTuple()[1], 'abc123')","def test_no_delete_button_appears_index(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertNotContains(response, self.url)","def test_no_tagging_button_if_deprecated(self):\n study_version = self.trait.source_dataset.source_study_version\n study_version.i_is_deprecated = True\n study_version.save()\n response = self.client.get(self.get_url(self.trait.pk))\n context = response.context\n self.assertFalse(context['show_tag_button'])\n self.assertNotContains(response, reverse('trait_browser:source:traits:tagging', kwargs={'pk': self.trait.pk}))","def test_no_tagging_button_if_deprecated(self):\n study_version = self.trait.source_dataset.source_study_version\n study_version.i_is_deprecated = True\n study_version.save()\n response = self.client.get(self.get_url(self.trait.pk))\n context = response.context\n self.assertFalse(context['show_tag_button'])\n self.assertNotContains(response, reverse('trait_browser:source:traits:tagging', kwargs={'pk': self.trait.pk}))","def the_user_edit_page_should_open(driver):\n assert wait_on_element(driver, 7, xpaths.add_User.edit_Title)\n time.sleep(0.5)","def _enter_edit_mode(self):\n edit_mode = self.UTILS.element.getElement(DOM.DownloadManager.download_edit_button,\n \"Download edit button\", True, 10)\n edit_mode.tap()\n self.UTILS.element.waitForElements(DOM.DownloadManager.downloads_edit_header_title,\n \"Edit downloads header\")","def test_author_view(self):\n table = self.get_change_page_form(self.user_1_client, self.question_1.pk)\n self.assertInHTML('<label>Title:</label><div class=\"readonly\">Lorem</div>', table)\n # The label's `for` attribute is present only on editable fields\n self.assertInHTML('<label class=\"required\" for=\"id_body\">Body:</label>', table)\n self.assertInHTML(\n '<label>Author:</label><div class=\"readonly\"><a href=\"/auth/user/2/change/\">user_1</a></div>', table)\n self.assertInHTML(\n '<div><label>Is published:</label><div class=\"readonly\"><img src=\"/static/admin/img/icon-yes.svg\" '\n 'alt=\"True\"></div></div>', table)","def test_make_form_hidden():","def testAssistantOwnershipAfterEdit(self):\n self.failUnless(self._testAssistantOwnershipAfter(task='edit'), \"designated assistant is not listed as an owner\")","def test_uuid_uneditable(self):\n id_field = Movie._meta.get_field_by_name('id')[0]\n self.assertEqual(id_field.editable, False)","def _assert_title_editable(obj, selenium, info_page):\n new_title = \"[EDITED]\" + obj.title\n info_page.three_bbs.select_edit()\n modal = object_modal.get_modal_obj(obj.type, selenium)\n modal.fill_form(title=new_title)\n modal.save_and_close()\n obj.update_attrs(\n title=new_title, modified_by=users.current_user().email,\n updated_at=rest_service.ObjectsInfoService().get_obj(\n obj=obj).updated_at)\n new_ui_obj = _get_ui_service(selenium, obj).get_obj_from_info_page(obj)\n base.Test.general_equal_assert(\n obj.repr_ui(), new_ui_obj, \"audit\", \"custom_attributes\")","def test_editor_visibility(self):\r\n self.setup_user(roles=[\"Moderator\"])\r\n self.setup_view()\r\n page = DiscussionTabSingleThreadPage(self.browser, self.course_id, \"comment_edit_test_thread\")\r\n page.visit()\r\n self.assertTrue(page.is_comment_editable(\"comment_self_author\"))\r\n self.assertTrue(page.is_comment_editable(\"comment_other_author\"))\r\n self.assertTrue(page.is_add_comment_visible(\"response1\"))\r\n original_body = page.get_comment_body(\"comment_self_author\")\r\n page.start_comment_edit(\"comment_self_author\")\r\n self.assertFalse(page.is_add_comment_visible(\"response1\"))\r\n self.assertTrue(page.is_comment_editor_visible(\"comment_self_author\"))\r\n page.set_comment_editor_value(\"comment_self_author\", \"edited body\")\r\n page.start_comment_edit(\"comment_other_author\")\r\n self.assertFalse(page.is_comment_editor_visible(\"comment_self_author\"))\r\n self.assertTrue(page.is_comment_editor_visible(\"comment_other_author\"))\r\n self.assertEqual(page.get_comment_body(\"comment_self_author\"), original_body)\r\n page.start_response_edit(\"response1\")\r\n self.assertFalse(page.is_comment_editor_visible(\"comment_other_author\"))\r\n self.assertTrue(page.is_response_editor_visible(\"response1\"))\r\n original_body = page.get_comment_body(\"comment_self_author\")\r\n page.start_comment_edit(\"comment_self_author\")\r\n self.assertFalse(page.is_response_editor_visible(\"response1\"))\r\n self.assertTrue(page.is_comment_editor_visible(\"comment_self_author\"))\r\n page.cancel_comment_edit(\"comment_self_author\", original_body)\r\n self.assertFalse(page.is_comment_editor_visible(\"comment_self_author\"))\r\n self.assertTrue(page.is_add_comment_visible(\"response1\"))","def unsaved_details_exist(self):\r\n return (self.talkDetailsWidget.saveButton.isEnabled() and\r\n (self.talkDetailsWidget.titleLineEdit.text() or\r\n self.talkDetailsWidget.presenterLineEdit.text() or\r\n self.talkDetailsWidget.categoryLineEdit.text() or\r\n self.talkDetailsWidget.descriptionTextEdit.toPlainText()))","def edit_fail(self, id_, data, message):\n rv = self.post((id_, self.edit_url), data)\n assert in_response(rv, 'Edit {}'.format(data[self.name_field]))\n assert in_response(rv, message)\n return rv","def test_edit_alert_by_id(self):\n pass","def test_edit_rule(self):\n pass","def click_bulk_edit_button(self):\n self.click_element(self.bulk_edit_button_locator, True)","def test_showing_edit_dietitian_account(self):\n\n result = self.client.get(\"/dietitian/1/account/edit\")\n self.assertEqual(result.status_code, 200)\n self.assertIn(b\"Edit your information\", result.data)\n\n result = self.client.get(\"/dietitian/2/account/edit\",\n follow_redirects=True)\n self.assertEqual(result.status_code, 200)\n self.assertIn(b\"not authorized\", result.data)","def test_edited(self):\n event = Event.objects.all()[0]\n\n todo = TodoItem.objects.create(\n event=event, completed=False, title=\"Test TODO4\",\n due=datetime.date.today(), additional=\"\",\n )\n\n url, form = self._get_initial_form('todo_edit', todo.pk)\n form['title'] = \"Test TODO4 - new title\"\n form['completed'] = True\n form['additional'] = ''\n\n rv = self.client.post(reverse('todo_edit', args=[todo.pk]), form)\n assert rv.status_code == 302\n\n todo.refresh_from_db()\n\n assert todo.title == \"Test TODO4 - new title\"\n assert todo.completed is True","def test_anonymous_user_view(self):\n table = self.get_change_page_form(self.anonymous_client, self.question_1.pk)\n self.assertInHTML('<label>Title:</label><div class=\"readonly\">Lorem</div>', table)\n self.assertInHTML('<label>Body:</label><div class=\"readonly\">Foo bar</div>', table)\n self.assertInHTML(\n '<label>Author:</label><div class=\"readonly\"><a href=\"/auth/user/2/change/\">user_1</a></div>', table)","def hide_save_buttons(self, request, obj, context):\n return not self.is_savable(request, obj)","def test_provider_user_edit(self):\n browser = self.browser\n browser.get(self.base_url)\n wait = WebDriverWait(browser, 10)\n\n user = self.getUser()\n self.assertTrue(user.login())\n\n browser.get(self.base_url + \"user/me/edit\")\n\n pass1 = wait.until(\n EC.visibility_of_element_located((By.ID, \"edit-pass-pass1\"))\n )\n pass1.send_keys('new_pswd')\n\n pass2 = wait.until(\n EC.visibility_of_element_located((By.ID, \"edit-pass-pass2\"))\n )\n pass2.send_keys('new_pswd_foo')\n\n pass2.send_keys(Keys.RETURN)\n\n message = wait.until(\n EC.visibility_of_element_located((By.CLASS_NAME, \"message--error\"))\n )\n print (message.text)\n assert message.text == u'De indtastede oplysninger matcher ikke hinanden'","def test_offers_edit(self, mock_find):\n mock_find.return_value = sample_offer\n\n result = self.client.get(f'/offers/{sample_offer_id}/edit')\n self.assertEqual(result.status, '200 OK')\n self.assertIn(b'Edit This Offer', result.data)","def test_publication_view_edit(self):\n \n test_response = self.client.get('/papers/14-3-3-proteins-a-number-of-functions-for-a-numbered-protein/edit/')\n self.assertEqual(test_response.status_code, 200)\n self.assertTrue('publication' in test_response.context) \n self.assertTemplateUsed(test_response, 'base.html')\n self.assertTemplateUsed(test_response, 'publication_form.html') \n self.assertEqual(test_response.context['publication'].pk, 1)\n self.assertEqual(test_response.context['publication'].title, u'14-3-3 proteins: a number of functions for a numbered protein.')\n\n #verifies that a non-existent object returns a 404 error presuming there is no object with pk=2.\n null_response = self.client.get('/papers/not-a-real-paper/edit/')\n self.assertEqual(null_response.status_code, 404)","def test_admin(self):\r\n \r\n self.assertEqual(False, self.user.isAdmin)","def test_should_render_for_owner(self) -> None:\n self.assertTrue(self.action.should_render(\n context=self._create_request_context(\n can_edit_reviewrequest=False)))","def test_edit_post():\n driver = webdriver.Chrome()\n driver.get('https://cmput404group10.herokuapp.com')\n\n username = driver.find_element_by_id(\"username\")\n username.send_keys(\"ronWeasley\")\n\n password = driver.find_element_by_name(\"password\")\n password.send_keys(\"ualberta123\")\n\n driver.find_element_by_xpath('/html/body/div/div/div/div/div/div/div[2]/div/form/div[3]/button').click()\n\n driver.find_element_by_xpath('//*[@id=\"accordionSidebar\"]/li[2]/a').click()\n\n assert driver.page_source.__contains__(\"Selenium Test\")\n assert not driver.page_source.__contains__(\"Selenium Edit Post\")\n\n driver.find_element_by_link_text('Edit').click()\n\n title = driver.find_element_by_xpath('//*[@id=\"id_title\"]')\n title.clear()\n title.send_keys(\"Selenium Edit Post\")\n\n driver.find_element_by_xpath('//*[@id=\"content\"]/div/div/form/button').click()\n assert driver.page_source.__contains__(\"Selenium Edit Post\")","def test_edit_mdt(self):\n response = self.client.get(reverse('edit-mdt', args=[self.sample_type, self.mdt.id]))\n self.assertContains(response, self.proband.gel_id)\n self.assertEqual(response.status_code, 200)","def after_successful_edit(self):\n pass","def validate_preview_html(self, xblock, view_name, can_edit=True, can_reorder=True, can_add=True):\r\n html = self.get_preview_html(xblock, view_name)\r\n self.validate_html_for_add_buttons(html, can_add=can_add)\r\n\r\n # Verify that there are no drag handles for public blocks\r\n drag_handle_html = '<span data-tooltip=\"Drag to reorder\" class=\"drag-handle action\"></span>'\r\n if can_reorder:\r\n self.assertIn(drag_handle_html, html)\r\n else:\r\n self.assertNotIn(drag_handle_html, html)\r\n\r\n # Verify that there are no action buttons for public blocks\r\n expected_button_html = [\r\n '<a href=\"#\" class=\"edit-button action-button\">',\r\n '<a href=\"#\" data-tooltip=\"Delete\" class=\"delete-button action-button\">',\r\n '<a href=\"#\" data-tooltip=\"Duplicate\" class=\"duplicate-button action-button\">'\r\n ]\r\n for button_html in expected_button_html:\r\n if can_edit:\r\n self.assertIn(button_html, html)\r\n else:\r\n self.assertNotIn(button_html, html)","def check_TEAMS_exit_edit_mode_Button(driver = None,intervalWaitForPage = None,output = None):\r\n\tglobal verify, log_path\r\n\tpageLoadWaitInterval = intervalWaitForPage if intervalWaitForPage != None else 5\r\n\tif (driver == None or output == None):\r\n\t\tprint \"ERROR in check_TEAMS_exit_edit_mode_Button(): Please send webdriver, and output as arguments.\"\r\n\telse:\r\n\t\tdriver.set_page_load_timeout(pageLoadWaitInterval)\r\n\t\ttry:\r\n\t\t\tverify = 0\r\n\t\t\t#Admin Gear test\r\n\t\t\ttry:\r\n\t\t\t\teditButton = WebDriverWait(driver, 15).until(EC.presence_of_element_located((By.ID,\"QA:CentricView:exitEditButton\")))\r\n\t\t\t\tif editButton.is_displayed() == False:\r\n\t\t\t\t\toutput = writer(\"VERIFY:\\texitEditButton Absent\\tFAIL\",output)\r\n\t\t\t\telif editButton.is_displayed() == True:\r\n\t\t\t\t\toutput = writer(\"VERIFY:\\texitEditButton Present\\tPASS\",output)\r\n\t\t\t\t\tverify = 1\r\n\t\t\texcept TimeoutException:\r\n\t\t\t\toutput = writer(\"INFO:\\tCatastrophic DOM Error\",output)\r\n\t\t\t#-------------------------\r\n\t\texcept TimeoutException:\r\n\t\t\toutput = writer(\"INFO:\\tgo to Admin iframe failed\",output)\t\r\n\treturn verify","def test_anon_page_admin(self):\n self._make_quick_page()\n\n dropdown_menu_btn = self._get_one('.dropdown-toggle')\n show_opts_btn = self._get_one('.options-btn')\n options_menu = self._get_one('.pageOptions')\n\n self.assertTrue(dropdown_menu_btn.is_displayed())\n dropdown_menu_btn.click()\n self.assertTrue(show_opts_btn.is_displayed())\n\n # Something weird related to auto-open options menu.\n # Maybe this conditional will fix it? <:)\n if not options_menu.is_displayed():\n show_opts_btn.click()\n self.assertTrue(options_menu.is_displayed())\n\n settings_btn = self._find_one_with_text('li.tabs-tab', 'Settings')\n self.assertTrue(settings_btn.is_displayed())\n settings_btn.click()\n\n title_input = self._get_one('input.title')\n title_input.clear()\n TITLE = 'A Title Most Titular'\n title_input.send_keys(TITLE)\n\n # Make it published, so that our anon viewer can access it\n published_input = self._get_one('.published')\n published_input.click()\n\n # TODO: better solution. need to wait for autosave\n # This may have to wait for request-queuing in the Backbone model.\n import time; time.sleep(1) \n\n # Now pretend we're someone else\n self.selenium.delete_all_cookies()\n self.selenium.refresh()\n for cookie in self.selenium.get_cookies():\n self.assertFalse(cookie['name'].startswith('claim'))\n\n # make sure we aren't admins\n self.assertFalse(self._find('.dropdown-toggle')) \n\n # check that we got the new title\n self.assertEqual(self.selenium.title, TITLE)","def test_empty_private(self):\n self.do_visible(True, None, False, is_admin=True)","def test_e_editar_atributo(self): \n print '+++ Edicion de atributo +++'\n request = self._editar_atributo(nombre, 'descrip editada','String')\n print '*-- datos de prueba ::: ' + nombre+', '+ 'descrip editada' + ', ' + str(id_tipo_atributo) +' --*'\n self.assertNotIn('Debe loguearse primeramente!!!!', request.data, 'No se ha logueado correctamente')\n self.assertNotIn('No posee los permisos suficientes para realizar la operacion', request.data, 'No tiene permisos para editar atributos')\n self.assertNotIn('Error', request.data, 'Tiene errores el form')\n self.assertIn('El atributo ha sido editado con exito', request.data, 'Error al editar la atributo')\n print '*-- request result: ' + request._status + ' --*'\n self.assertIn(nombre, request.data, 'El atributo creado no se encuentra en la tabla')\n print '*-- '+nombre+' creado correctamente, aparece en la tabla de atributos--*'\n print '*---test 5 atributo---*'","def test_edit_not_found(self):\n\n url = '/%s/job-types/missing-job/1.0.0/' % self.api\n json_data = {\n 'icon_code': 'BEEF',\n 'is_active': False,\n 'is_paused': True,\n 'max_scheduled': 9\n }\n response = self.client.generic('PATCH', url, json.dumps(json_data), 'application/json')\n self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND, response.content)","def test_not_creator_cannot_update_tab(self):\n\n logged_user = utils.create_user_and_authenticate(self)\n self.group.users.add(logged_user)\n expected_url = reverse('group_view', args=(self.group.pk,))\n\n utils.test_cannot_access(self, self.url, expected_url, self.data)","def test_edit_idea_invalid_id(self):\n # invalid boardid\n self.newidea()\n rv = self.app.post('/3/1',\n data=dict(name='Test Idea', content='This is an edited idea.', colour='black'),\n follow_redirects=True)\n self.assertIn(b'error', rv.data)\n # invalid ideaid\n rv = self.app.post('/1/35',\n data=dict(name='Test Idea', content='This is an edited idea.', colour='black'),\n follow_redirects=True)\n self.assertIn(b'error', rv.data)","def test_plusrecords_on_edit(self):\n self.go200('minus_plus_upload')\n self.formfile('minus_plus_upload', 'file', AUDIO_FILE)\n self.submit200()\n self.go200('minus_upload')\n self.formfile('minus_upload', 'file', AUDIO_FILE)\n self.submit200()\n self.go200('minus_plus_upload')\n self.formfile('minus_plus_upload', 'file', AUDIO_FILE)\n self.submit200()\n self.assert_equal(MinusPlusRecord.objects.count(), 2)\n self.go200('minus_edit', [self.superuser, 1])\n self.fv('minus_upload', 'author', \"brams\")\n self.submit200()\n self.find('Плюс')\n self.assert_equal(MinusPlusRecord.objects.count(), 1)","def test_homepage_has_correct_buttons_showing_when_not_logged_in(testapp):\n html = testapp.get('/').html\n logout = html.find(class_=\"navbar-right\").text\n create = html.find(href=\"http://localhost/journal/new-entry\")\n assert logout == '\\n Login\\n'\n assert not create","def test_filter_not_available_plugins(plugin_dialog_constructor):\n item = plugin_dialog_constructor.available_list.item(0)\n widget = plugin_dialog_constructor.available_list.itemWidget(item)\n if widget:\n assert not widget.action_button.isEnabled()\n assert widget.warning_tooltip.isVisible()\n\n item = plugin_dialog_constructor.available_list.item(1)\n widget = plugin_dialog_constructor.available_list.itemWidget(item)\n assert widget.action_button.isEnabled()\n assert not widget.warning_tooltip.isVisible()","def test_doNotDeleteInput(self):\n input1 = self.getArbitraryLoreInput(0)\n self.howtoDir.child(\"one.xhtml\").setContent(input1)\n self.builder.build(\"whatever\", self.howtoDir, self.howtoDir,\n self.templateFile)\n self.assertTrue(self.howtoDir.child('one.html').exists())\n self.assertTrue(self.howtoDir.child('one.xhtml').exists())","def test_edit_object_with_require_auth_false(self):\n self.test_object.require_auth = False\n self.test_object.save()\n response = self.client.put(\n f\"/permissiontest/{self.test_object.id}/\", self.test_update_object\n )\n self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)","def __disableSearchEdit(self):\n self.__searchEdit.setEnabled(False)","def edit_form():\n return template (\"edit\")","def test_unpublish_button_appears(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertContains(response, self.url)","def test_switch_hidden1(self):\n self.test_object.switch_hidden()\n self.assertFalse(self.test_object.get_hidden())"],"string":"[\n \"def test_no_delete_button_appears_edit(self):\\n response = self.client.get(reverse('wagtailnews:edit', kwargs={\\n 'pk': self.index.pk, 'newsitem_pk': self.newsitem.pk}))\\n self.assertNotContains(response, self.url)\",\n \"def test_that_not_logged_in_does_not_shows_edit_button(testapp):\\n html = testapp.get('/journal/1').html\\n assert not html.find('main').a\",\n \"def test_edit_button_appears(self):\\n response = self.client.get(reverse('wagtailnews:index', kwargs={\\n 'pk': self.index.pk}))\\n self.assertContains(response, self.url)\",\n \"def dummy():\\n\\t\\t\\tself.edit = True\",\n \"def test_delete_button_appears_edit(self):\\n response = self.client.get(reverse('wagtailnews:edit', kwargs={\\n 'pk': self.index.pk, 'newsitem_pk': self.newsitem.pk}))\\n self.assertContains(response, self.url)\",\n \"def test_update_custom_button(self):\\n pass\",\n \"def test_empty_ui(self):\",\n \"def test_edit_boat(self):\\n pass\",\n \"def test_handle_edit_not_admin(self):\\n test_user = User(\\\"userid\\\")\\n team = Team(\\\"BRS\\\", \\\"brs\\\", \\\"brS\\\")\\n self.db.retrieve.return_value = test_user\\n self.db.query.return_value = [team]\\n with self.app.app_context():\\n self.assertTupleEqual(self.testcommand.handle(\\\"team \\\"\\n \\\"edit brs\\\", user),\\n (self.testcommand.permission_error, 200))\\n self.db.store.assert_not_called()\",\n \"def soft_assert_role_cannot_be_edited(soft_assert, obj):\\n info_widget = factory.get_cls_webui_service(\\n objects.get_plural(obj.type))().open_info_page_of_obj(obj)\\n role_field_element = info_widget.role_to_edit\\n role_field_element.inline_edit.open()\\n # wait until new tab contains info page url\\n _, new_tab = browsers.get_browser().windows()\\n test_utils.wait_for(lambda: new_tab.url.endswith(url.Widget.INFO))\\n soft_assert.expect(not role_field_element.add_person_text_field.exists,\\n \\\"There should be no input field.\\\")\",\n \"def is_edit(self):\\n return self._tag == 'edit'\",\n \"def test_delete_custom_button(self):\\n pass\",\n \"def soft_assert_cannot_make_proposal(info_page, soft_assert):\\n soft_assert.expect(not info_page.is_propose_changes_btn_exists,\\n \\\"'Propose Changes' button should not be displayed.\\\")\",\n \"def click_the_edit_button_that_appears(driver):\\n driver.find_element_by_xpath(xpaths.users.eric_Edit_Button).click()\",\n \"def edit(self):\\n\\n pass\",\n \"def assert_can_edit(selenium, obj, can_edit):\\n ui_service = _get_ui_service(selenium, obj=obj)\\n info_page = ui_service.open_info_page_of_obj(obj)\\n els_shown_for_editor = info_page.els_shown_for_editor()\\n assert [item.exists for item in els_shown_for_editor] == \\\\\\n [can_edit] * len(els_shown_for_editor)\\n if can_edit:\\n _assert_title_editable(obj, selenium, info_page)\",\n \"def test_edit(self):\\n # Test using the Trovebox class\\n html = self.client.photo.edit(self.photos[0])\\n self.assertIn(\\\"<form\\\", html.lower())\\n\\n # And the Photo object directly\\n html = self.photos[0].edit()\\n self.assertIn(\\\"<form\\\", html.lower())\",\n \"def test_constructor_visible_widgets(plugin_dialog_constructor):\\n assert not plugin_dialog_constructor.direct_entry_edit.isVisible()\\n assert not plugin_dialog_constructor.direct_entry_btn.isVisible()\",\n \"def edit():\",\n \"def test_only_edit_perm(self):\\n self.assertStatusCode(self.url, 403)\",\n \"def test_none_admin_edit(self):\\n\\n with self.client:\\n token = self.customer()\\n id = 1\\n response = self.client.put('api/v1/meals/{}'.format(id),\\n data=json.dumps(dict(\\n meal_name=\\\"chips\\\",\\n price=15000\\n )),\\n content_type='application/json',\\n headers=({\\\"token\\\": token}))\\n data = json.loads(response.data.decode())\\n self.assertEqual(data.get('message'),\\n \\\"Customer is not authorized to access this page\\\")\\n self.assertEqual(response.status_code, 401)\",\n \"def _check_is_editable(self, raise_error: bool = True) -> bool:\",\n \"def test_get_edit(self):\\n response = self.get('/study/edit/1')\\n self.assertEqual(response.code, 200)\\n self.assertNotEqual(str(response.body), \\\"\\\")\",\n \"def OnToggleEdit(self, event):\\n\\t\\ttoggle = self.btn_edit.GetToggle()\\n\\t\\tif not toggle:\\n\\t\\t\\tif not util.gAuthen.Authenticate(util.ADMIN):\\n\\t\\t\\t\\tself.btn_edit.SetToggle(not toggle)\\n\\t\\t\\t\\treturn \\n\\t\\tself.UpdateToggle()\",\n \"def test_that_logged_in_shows_edit_button(testapp):\\n testapp.post('/login', params={'Username': 'amos', 'Password': 'password'})\\n html = testapp.get('/journal/1').html\\n assert html.find('main').a.text == 'Edit'\",\n \"def soft_assert_cannot_update_predefined_field(soft_assert, obj):\\n field_element = factory.get_cls_webui_service(objects.get_plural(\\n obj.type))().open_info_page_of_obj(obj).predefined_field\\n field_element.inline_edit.open()\\n soft_assert.expect(not field_element.input.exist,\\n \\\"There should be no input field.\\\")\",\n \"def test_show_tag_edit(self):\\r\\n\\r\\n with app.test_client() as client:\\r\\n resp = client.get(f\\\"/tags/{self.tag.id}/edit\\\")\\r\\n html = resp.get_data(as_text=True)\\r\\n\\r\\n self.assertEqual(resp.status_code, 200)\\r\\n self.assertIn(\\\"Edit Tag\\\", html)\\r\\n self.assertIn(self.tag.name, html)\",\n \"def edit(self,item=None):\\r\\n raise AbstractError\\r\\n return False\",\n \"def test_visible_widgets(plugin_dialog):\\n\\n assert plugin_dialog.direct_entry_edit.isVisible()\\n assert plugin_dialog.direct_entry_btn.isVisible()\",\n \"def test_no_tagging_button(self):\\n response = self.client.get(self.get_url(self.trait.pk))\\n context = response.context\\n self.assertNotContains(response, reverse('trait_browser:source:traits:tagging', kwargs={'pk': self.trait.pk}))\\n self.assertFalse(context['show_tag_button'])\",\n \"def test_can_not_add_more(self):\\n set_up_one_user(self, 1, 0)\\n login = self.client.login(username='test', password='2HJ1vRV0Z&3iD')\\n response = self.client.get(reverse('index'))\\n self.assertEqual(response.status_code, 200)\\n self.assertContains(response, '<button id=\\\"modalButton\\\" type=\\\"button\\\" class=\\\"btn btn-info\\\" data-toggle=\\\"modal\\\" data-target=\\\"#myModal\\\" disabled=\\\"True\\\">Add new notification</button>')\",\n \"def test_no_add_button_appears(self):\\n response = self.client.get(reverse('wagtailnews:index', kwargs={\\n 'pk': self.index.pk}))\\n self.assertNotContains(response, self.url)\",\n \"def test_edit(test_case, widget):\\n ensure_engine_exists()\\n # Create schem\\n Base.metadata.create_all(get_engine())\\n # Create editing UI\\n edit_ui = type(\\\"CustomEditUI\\\", (Ui_EditForm, PQSEditUI), {})\\n ui, s, u = None, None, None\\n # Switch test\\n print(test_case)\\n if test_case == \\\"add\\\":\\n ui = edit_ui(User)\\n elif test_case == \\\"edit-transient\\\":\\n ui = edit_ui(User(email=\\\"transient@users.org\\\", number=1))\\n else:\\n s = SessionFactory()\\n if test_case == \\\"edit-pending\\\":\\n u = User(email=\\\"pending@users.org\\\", number=2)\\n s.add(u)\\n ui = edit_ui(u, s)\\n elif test_case == \\\"edit-persistent\\\":\\n u = User(email=\\\"persistent@users.org\\\", number=3,\\n birthdate=datetime.date(1995, 9, 21))\\n s.add(u)\\n s.commit()\\n ui = edit_ui(u, s)\\n elif test_case == \\\"edit-persistent-wrong\\\":\\n s.execute(\\\"INSERT INTO users (email, number, birthdate) VALUES (\\\" +\\n \\\"\\\\\\\"persistent-wrongusers.org\\\\\\\", 4, \\\\\\\"2099-12-12\\\\\\\")\\\")\\n s.commit()\\n u = s.query(User).filter(\\n User.email == \\\"persistent-wrongusers.org\\\").first()\\n ui = edit_ui(u, s)\\n # Create UI\\n ui.setup_and_bind(widget, Ui_UserForm)\\n return ui, s, u\",\n \"def test_edit_tag_invalid(self):\\r\\n\\r\\n with app.test_client() as client: \\r\\n d = {\\\"name\\\": \\\"\\\"}\\r\\n resp = client.post(f\\\"/tags/{self.tag.id}/edit\\\", data=d, follow_redirects=True)\\r\\n html = resp.get_data(as_text=True)\\r\\n\\r\\n self.assertEqual(resp.status_code, 200)\\r\\n self.assertIn(\\\"Please enter tag name\\\", html)\",\n \"def test_readonly_submit_row__without__read_only_permissions(self) -> None:\\n Permission.objects.filter(\\n codename__startswith=settings.READ_ONLY_ADMIN_PERMISSION_PREFIX\\n ).delete()\\n\\n user = User.objects.first()\\n request: HttpRequest = HttpRequest()\\n request.user = user # type: ignore\\n context: RequestContext = RequestContext(\\n request=request,\\n dict_={\\n \\\"user\\\": user,\\n \\\"add\\\": True,\\n \\\"change\\\": True,\\n \\\"is_popup\\\": False,\\n \\\"save_as\\\": True,\\n \\\"has_add_permission\\\": True,\\n \\\"has_change_permission\\\": True,\\n \\\"has_view_permission\\\": True,\\n \\\"has_editable_inline_admin_formsets\\\": False,\\n \\\"has_delete_permission\\\": True,\\n \\\"opts\\\": \\\"auth.user\\\",\\n \\\"request\\\": request,\\n },\\n )\\n result: Context = readonly_submit_row(context=context)\\n\\n self.assertTrue(expr=result[\\\"show_delete_link\\\"])\\n self.assertTrue(expr=result[\\\"show_save_and_add_another\\\"])\\n self.assertTrue(expr=result[\\\"show_save_and_continue\\\"])\\n self.assertTrue(expr=result[\\\"show_save\\\"])\",\n \"def on_click(self) -> None:\\n self.editing = True\",\n \"def test_issue_edit_issue(self):\\n pass\",\n \"def testMemberCanEdit(self):\\n self.client.login(username=\\\"admin\\\", password=\\\"test\\\")\\n response = self.client.get(reverse(\\\"task_detail\\\", args=[1]))\\n self.failUnlessEqual(response.status_code, 200)\\n self.failUnless(response.content.find(\\\"<h2>Edit</h2>\\\") != -1,\\n \\\"Authenticated users cannot edit tasks.\\\")\\n self.client.logout()\",\n \"def test_edit_view(self):\\n target_url = url_for('content.edit_content')\\n redirect_url = url_for('users.login', next=target_url)\\n response = self.client.get(target_url)\\n self.assertEqual(response.status_code, 302)\\n self.assertRedirects(response, redirect_url)\",\n \"def test_create_custom_button(self):\\n pass\",\n \"def testAnonymousCannotEdit(self):\\n response = self.client.get(reverse(\\\"task_detail\\\", args=[1]))\\n self.failUnlessEqual(response.status_code, 200)\\n self.failUnless(response.content.find(\\\"<h2>Edit</h2>\\\") == -1,\\n \\\"Anonymous user is able to edit tasks.\\\")\",\n \"def test_edit(self):\\n r = main.List.connection()\\n main.List.add(r, \\\"ToDo\\\", 1, \\\"Buy apples\\\", 2, \\\"20.05.2015\\\")\\n main.List.edit(r, \\\"ToDo\\\", 1, \\\"Buy bananas, not apples\\\", 2, \\\"20.05.2015\\\")\\n task = main.List.pull_from_redis(r, \\\"ToDo\\\", False)\\n if task and task is not None:\\n check = task[\\\"1\\\"][\\\"description\\\"] == \\\"Buy bananas, not apples\\\"\\n self.assertTrue(check, \\\"Editing failed.\\\")\",\n \"def can_edit(self):\\n return self.state not in (\\n 'scanning', 'resulted', 'cancelled', 'aborted')\",\n \"def test_edit(self):\\n\\n\\t\\titem_id = mock_item()[0]\\n\\n\\t\\titem_data = {'title': 'Item Two', 'author': 'Author Two',\\n\\t\\t\\t'location': 'Location Two'}\\n\\t\\tmodels.edit(item_id, item_data)\\n\\n\\t\\titem = models.item(item_id)\\n\\n\\t\\tself.assertEqual(item['title'], item_data['title'])\\n\\t\\tself.assertEqual(item['author'], item_data['author'])\\n\\t\\tself.assertEqual(item['location'], item_data['location'])\",\n \"def editChange(self,editBtn):\\n if self.edit ==True:\\n self.updateDetails(\\\"normal\\\") #update details column\\n self.edit = False #switch boolean\\n self.editBtn.setText(\\\"Edit\\\") #update button text\\n else:\\n self.updateDetails(\\\"edit\\\") #update details column\\n self.edit= True #switch boolean\\n self.editBtn.setText(\\\"Stop Editing\\\") #update button text\",\n \"def test_edit_view(self):\\n self.client.post(reverse('misago:admin:users:bans:new'), data={\\n 'check_type': '0',\\n 'banned_value': 'Admin',\\n })\\n\\n test_ban = Ban.objects.get(banned_value='admin')\\n form_link = reverse('misago:admin:users:bans:edit', kwargs={'pk': test_ban.pk})\\n\\n response = self.client.post(form_link, data={\\n 'check_type': '1',\\n 'banned_value': 'test@test.com',\\n 'user_message': 'Lorem ipsum dolor met',\\n 'staff_message': 'Sit amet elit',\\n 'expires_on': '',\\n })\\n self.assertEqual(response.status_code, 302)\\n\\n response = self.client.get(reverse('misago:admin:users:bans:index'))\\n response = self.client.get(response['location'])\\n self.assertEqual(response.status_code, 200)\\n self.assertContains(response, 'test@test.com')\",\n \"def test_issue_edit_label(self):\\n pass\",\n \"def edit(self, **kwargs):\\n ...\",\n \"def _test_display_up_button(self):\\n return (self.product_displays.top_index > 0)\",\n \"def test_readonly_submit_row__without__read_only_permissions__for_superuser(\\n self,\\n ) -> None:\\n user = User.objects.first()\\n user.is_superuser = True # type: ignore\\n user.save(update_fields=[\\\"is_superuser\\\"]) # type: ignore\\n request: HttpRequest = HttpRequest()\\n request.user = user # type: ignore\\n context: RequestContext = RequestContext(\\n request=request,\\n dict_={\\n \\\"user\\\": user,\\n \\\"add\\\": True,\\n \\\"change\\\": True,\\n \\\"is_popup\\\": False,\\n \\\"save_as\\\": True,\\n \\\"has_add_permission\\\": True,\\n \\\"has_change_permission\\\": True,\\n \\\"has_view_permission\\\": True,\\n \\\"has_editable_inline_admin_formsets\\\": False,\\n \\\"has_delete_permission\\\": True,\\n \\\"opts\\\": \\\"auth.user\\\",\\n \\\"request\\\": request,\\n },\\n )\\n result: Context = readonly_submit_row(context=context)\\n\\n self.assertTrue(expr=result[\\\"show_delete_link\\\"])\\n self.assertTrue(expr=result[\\\"show_save_and_add_another\\\"])\\n self.assertTrue(expr=result[\\\"show_save_and_continue\\\"])\\n self.assertTrue(expr=result[\\\"show_save\\\"])\",\n \"def click_bulk_edit_cancel_button(self):\\n self.click_element(self.bulk_edit_cancel_button_locator, True)\",\n \"def raise_not_editable(self, viewer):\\n if viewer.has_perm(\\\"bookwyrm.edit_instance_settings\\\"):\\n return\\n raise PermissionDenied()\",\n \"def test_get_custom_button(self):\\n pass\",\n \"def test_ui_menu(test):\\n assert hl.test_help_ui_menu(test) == test\",\n \"def testOwnershipAfterEdit(self):\\n self.simulateATGUIInteraction(task='edit')\\n self.failUnlessEqual(self.person.getOwnerTuple()[1], 'abc123')\",\n \"def test_no_delete_button_appears_index(self):\\n response = self.client.get(reverse('wagtailnews:index', kwargs={\\n 'pk': self.index.pk}))\\n self.assertNotContains(response, self.url)\",\n \"def test_no_tagging_button_if_deprecated(self):\\n study_version = self.trait.source_dataset.source_study_version\\n study_version.i_is_deprecated = True\\n study_version.save()\\n response = self.client.get(self.get_url(self.trait.pk))\\n context = response.context\\n self.assertFalse(context['show_tag_button'])\\n self.assertNotContains(response, reverse('trait_browser:source:traits:tagging', kwargs={'pk': self.trait.pk}))\",\n \"def test_no_tagging_button_if_deprecated(self):\\n study_version = self.trait.source_dataset.source_study_version\\n study_version.i_is_deprecated = True\\n study_version.save()\\n response = self.client.get(self.get_url(self.trait.pk))\\n context = response.context\\n self.assertFalse(context['show_tag_button'])\\n self.assertNotContains(response, reverse('trait_browser:source:traits:tagging', kwargs={'pk': self.trait.pk}))\",\n \"def the_user_edit_page_should_open(driver):\\n assert wait_on_element(driver, 7, xpaths.add_User.edit_Title)\\n time.sleep(0.5)\",\n \"def _enter_edit_mode(self):\\n edit_mode = self.UTILS.element.getElement(DOM.DownloadManager.download_edit_button,\\n \\\"Download edit button\\\", True, 10)\\n edit_mode.tap()\\n self.UTILS.element.waitForElements(DOM.DownloadManager.downloads_edit_header_title,\\n \\\"Edit downloads header\\\")\",\n \"def test_author_view(self):\\n table = self.get_change_page_form(self.user_1_client, self.question_1.pk)\\n self.assertInHTML('<label>Title:</label><div class=\\\"readonly\\\">Lorem</div>', table)\\n # The label's `for` attribute is present only on editable fields\\n self.assertInHTML('<label class=\\\"required\\\" for=\\\"id_body\\\">Body:</label>', table)\\n self.assertInHTML(\\n '<label>Author:</label><div class=\\\"readonly\\\"><a href=\\\"/auth/user/2/change/\\\">user_1</a></div>', table)\\n self.assertInHTML(\\n '<div><label>Is published:</label><div class=\\\"readonly\\\"><img src=\\\"/static/admin/img/icon-yes.svg\\\" '\\n 'alt=\\\"True\\\"></div></div>', table)\",\n \"def test_make_form_hidden():\",\n \"def testAssistantOwnershipAfterEdit(self):\\n self.failUnless(self._testAssistantOwnershipAfter(task='edit'), \\\"designated assistant is not listed as an owner\\\")\",\n \"def test_uuid_uneditable(self):\\n id_field = Movie._meta.get_field_by_name('id')[0]\\n self.assertEqual(id_field.editable, False)\",\n \"def _assert_title_editable(obj, selenium, info_page):\\n new_title = \\\"[EDITED]\\\" + obj.title\\n info_page.three_bbs.select_edit()\\n modal = object_modal.get_modal_obj(obj.type, selenium)\\n modal.fill_form(title=new_title)\\n modal.save_and_close()\\n obj.update_attrs(\\n title=new_title, modified_by=users.current_user().email,\\n updated_at=rest_service.ObjectsInfoService().get_obj(\\n obj=obj).updated_at)\\n new_ui_obj = _get_ui_service(selenium, obj).get_obj_from_info_page(obj)\\n base.Test.general_equal_assert(\\n obj.repr_ui(), new_ui_obj, \\\"audit\\\", \\\"custom_attributes\\\")\",\n \"def test_editor_visibility(self):\\r\\n self.setup_user(roles=[\\\"Moderator\\\"])\\r\\n self.setup_view()\\r\\n page = DiscussionTabSingleThreadPage(self.browser, self.course_id, \\\"comment_edit_test_thread\\\")\\r\\n page.visit()\\r\\n self.assertTrue(page.is_comment_editable(\\\"comment_self_author\\\"))\\r\\n self.assertTrue(page.is_comment_editable(\\\"comment_other_author\\\"))\\r\\n self.assertTrue(page.is_add_comment_visible(\\\"response1\\\"))\\r\\n original_body = page.get_comment_body(\\\"comment_self_author\\\")\\r\\n page.start_comment_edit(\\\"comment_self_author\\\")\\r\\n self.assertFalse(page.is_add_comment_visible(\\\"response1\\\"))\\r\\n self.assertTrue(page.is_comment_editor_visible(\\\"comment_self_author\\\"))\\r\\n page.set_comment_editor_value(\\\"comment_self_author\\\", \\\"edited body\\\")\\r\\n page.start_comment_edit(\\\"comment_other_author\\\")\\r\\n self.assertFalse(page.is_comment_editor_visible(\\\"comment_self_author\\\"))\\r\\n self.assertTrue(page.is_comment_editor_visible(\\\"comment_other_author\\\"))\\r\\n self.assertEqual(page.get_comment_body(\\\"comment_self_author\\\"), original_body)\\r\\n page.start_response_edit(\\\"response1\\\")\\r\\n self.assertFalse(page.is_comment_editor_visible(\\\"comment_other_author\\\"))\\r\\n self.assertTrue(page.is_response_editor_visible(\\\"response1\\\"))\\r\\n original_body = page.get_comment_body(\\\"comment_self_author\\\")\\r\\n page.start_comment_edit(\\\"comment_self_author\\\")\\r\\n self.assertFalse(page.is_response_editor_visible(\\\"response1\\\"))\\r\\n self.assertTrue(page.is_comment_editor_visible(\\\"comment_self_author\\\"))\\r\\n page.cancel_comment_edit(\\\"comment_self_author\\\", original_body)\\r\\n self.assertFalse(page.is_comment_editor_visible(\\\"comment_self_author\\\"))\\r\\n self.assertTrue(page.is_add_comment_visible(\\\"response1\\\"))\",\n \"def unsaved_details_exist(self):\\r\\n return (self.talkDetailsWidget.saveButton.isEnabled() and\\r\\n (self.talkDetailsWidget.titleLineEdit.text() or\\r\\n self.talkDetailsWidget.presenterLineEdit.text() or\\r\\n self.talkDetailsWidget.categoryLineEdit.text() or\\r\\n self.talkDetailsWidget.descriptionTextEdit.toPlainText()))\",\n \"def edit_fail(self, id_, data, message):\\n rv = self.post((id_, self.edit_url), data)\\n assert in_response(rv, 'Edit {}'.format(data[self.name_field]))\\n assert in_response(rv, message)\\n return rv\",\n \"def test_edit_alert_by_id(self):\\n pass\",\n \"def test_edit_rule(self):\\n pass\",\n \"def click_bulk_edit_button(self):\\n self.click_element(self.bulk_edit_button_locator, True)\",\n \"def test_showing_edit_dietitian_account(self):\\n\\n result = self.client.get(\\\"/dietitian/1/account/edit\\\")\\n self.assertEqual(result.status_code, 200)\\n self.assertIn(b\\\"Edit your information\\\", result.data)\\n\\n result = self.client.get(\\\"/dietitian/2/account/edit\\\",\\n follow_redirects=True)\\n self.assertEqual(result.status_code, 200)\\n self.assertIn(b\\\"not authorized\\\", result.data)\",\n \"def test_edited(self):\\n event = Event.objects.all()[0]\\n\\n todo = TodoItem.objects.create(\\n event=event, completed=False, title=\\\"Test TODO4\\\",\\n due=datetime.date.today(), additional=\\\"\\\",\\n )\\n\\n url, form = self._get_initial_form('todo_edit', todo.pk)\\n form['title'] = \\\"Test TODO4 - new title\\\"\\n form['completed'] = True\\n form['additional'] = ''\\n\\n rv = self.client.post(reverse('todo_edit', args=[todo.pk]), form)\\n assert rv.status_code == 302\\n\\n todo.refresh_from_db()\\n\\n assert todo.title == \\\"Test TODO4 - new title\\\"\\n assert todo.completed is True\",\n \"def test_anonymous_user_view(self):\\n table = self.get_change_page_form(self.anonymous_client, self.question_1.pk)\\n self.assertInHTML('<label>Title:</label><div class=\\\"readonly\\\">Lorem</div>', table)\\n self.assertInHTML('<label>Body:</label><div class=\\\"readonly\\\">Foo bar</div>', table)\\n self.assertInHTML(\\n '<label>Author:</label><div class=\\\"readonly\\\"><a href=\\\"/auth/user/2/change/\\\">user_1</a></div>', table)\",\n \"def hide_save_buttons(self, request, obj, context):\\n return not self.is_savable(request, obj)\",\n \"def test_provider_user_edit(self):\\n browser = self.browser\\n browser.get(self.base_url)\\n wait = WebDriverWait(browser, 10)\\n\\n user = self.getUser()\\n self.assertTrue(user.login())\\n\\n browser.get(self.base_url + \\\"user/me/edit\\\")\\n\\n pass1 = wait.until(\\n EC.visibility_of_element_located((By.ID, \\\"edit-pass-pass1\\\"))\\n )\\n pass1.send_keys('new_pswd')\\n\\n pass2 = wait.until(\\n EC.visibility_of_element_located((By.ID, \\\"edit-pass-pass2\\\"))\\n )\\n pass2.send_keys('new_pswd_foo')\\n\\n pass2.send_keys(Keys.RETURN)\\n\\n message = wait.until(\\n EC.visibility_of_element_located((By.CLASS_NAME, \\\"message--error\\\"))\\n )\\n print (message.text)\\n assert message.text == u'De indtastede oplysninger matcher ikke hinanden'\",\n \"def test_offers_edit(self, mock_find):\\n mock_find.return_value = sample_offer\\n\\n result = self.client.get(f'/offers/{sample_offer_id}/edit')\\n self.assertEqual(result.status, '200 OK')\\n self.assertIn(b'Edit This Offer', result.data)\",\n \"def test_publication_view_edit(self):\\n \\n test_response = self.client.get('/papers/14-3-3-proteins-a-number-of-functions-for-a-numbered-protein/edit/')\\n self.assertEqual(test_response.status_code, 200)\\n self.assertTrue('publication' in test_response.context) \\n self.assertTemplateUsed(test_response, 'base.html')\\n self.assertTemplateUsed(test_response, 'publication_form.html') \\n self.assertEqual(test_response.context['publication'].pk, 1)\\n self.assertEqual(test_response.context['publication'].title, u'14-3-3 proteins: a number of functions for a numbered protein.')\\n\\n #verifies that a non-existent object returns a 404 error presuming there is no object with pk=2.\\n null_response = self.client.get('/papers/not-a-real-paper/edit/')\\n self.assertEqual(null_response.status_code, 404)\",\n \"def test_admin(self):\\r\\n \\r\\n self.assertEqual(False, self.user.isAdmin)\",\n \"def test_should_render_for_owner(self) -> None:\\n self.assertTrue(self.action.should_render(\\n context=self._create_request_context(\\n can_edit_reviewrequest=False)))\",\n \"def test_edit_post():\\n driver = webdriver.Chrome()\\n driver.get('https://cmput404group10.herokuapp.com')\\n\\n username = driver.find_element_by_id(\\\"username\\\")\\n username.send_keys(\\\"ronWeasley\\\")\\n\\n password = driver.find_element_by_name(\\\"password\\\")\\n password.send_keys(\\\"ualberta123\\\")\\n\\n driver.find_element_by_xpath('/html/body/div/div/div/div/div/div/div[2]/div/form/div[3]/button').click()\\n\\n driver.find_element_by_xpath('//*[@id=\\\"accordionSidebar\\\"]/li[2]/a').click()\\n\\n assert driver.page_source.__contains__(\\\"Selenium Test\\\")\\n assert not driver.page_source.__contains__(\\\"Selenium Edit Post\\\")\\n\\n driver.find_element_by_link_text('Edit').click()\\n\\n title = driver.find_element_by_xpath('//*[@id=\\\"id_title\\\"]')\\n title.clear()\\n title.send_keys(\\\"Selenium Edit Post\\\")\\n\\n driver.find_element_by_xpath('//*[@id=\\\"content\\\"]/div/div/form/button').click()\\n assert driver.page_source.__contains__(\\\"Selenium Edit Post\\\")\",\n \"def test_edit_mdt(self):\\n response = self.client.get(reverse('edit-mdt', args=[self.sample_type, self.mdt.id]))\\n self.assertContains(response, self.proband.gel_id)\\n self.assertEqual(response.status_code, 200)\",\n \"def after_successful_edit(self):\\n pass\",\n \"def validate_preview_html(self, xblock, view_name, can_edit=True, can_reorder=True, can_add=True):\\r\\n html = self.get_preview_html(xblock, view_name)\\r\\n self.validate_html_for_add_buttons(html, can_add=can_add)\\r\\n\\r\\n # Verify that there are no drag handles for public blocks\\r\\n drag_handle_html = '<span data-tooltip=\\\"Drag to reorder\\\" class=\\\"drag-handle action\\\"></span>'\\r\\n if can_reorder:\\r\\n self.assertIn(drag_handle_html, html)\\r\\n else:\\r\\n self.assertNotIn(drag_handle_html, html)\\r\\n\\r\\n # Verify that there are no action buttons for public blocks\\r\\n expected_button_html = [\\r\\n '<a href=\\\"#\\\" class=\\\"edit-button action-button\\\">',\\r\\n '<a href=\\\"#\\\" data-tooltip=\\\"Delete\\\" class=\\\"delete-button action-button\\\">',\\r\\n '<a href=\\\"#\\\" data-tooltip=\\\"Duplicate\\\" class=\\\"duplicate-button action-button\\\">'\\r\\n ]\\r\\n for button_html in expected_button_html:\\r\\n if can_edit:\\r\\n self.assertIn(button_html, html)\\r\\n else:\\r\\n self.assertNotIn(button_html, html)\",\n \"def check_TEAMS_exit_edit_mode_Button(driver = None,intervalWaitForPage = None,output = None):\\r\\n\\tglobal verify, log_path\\r\\n\\tpageLoadWaitInterval = intervalWaitForPage if intervalWaitForPage != None else 5\\r\\n\\tif (driver == None or output == None):\\r\\n\\t\\tprint \\\"ERROR in check_TEAMS_exit_edit_mode_Button(): Please send webdriver, and output as arguments.\\\"\\r\\n\\telse:\\r\\n\\t\\tdriver.set_page_load_timeout(pageLoadWaitInterval)\\r\\n\\t\\ttry:\\r\\n\\t\\t\\tverify = 0\\r\\n\\t\\t\\t#Admin Gear test\\r\\n\\t\\t\\ttry:\\r\\n\\t\\t\\t\\teditButton = WebDriverWait(driver, 15).until(EC.presence_of_element_located((By.ID,\\\"QA:CentricView:exitEditButton\\\")))\\r\\n\\t\\t\\t\\tif editButton.is_displayed() == False:\\r\\n\\t\\t\\t\\t\\toutput = writer(\\\"VERIFY:\\\\texitEditButton Absent\\\\tFAIL\\\",output)\\r\\n\\t\\t\\t\\telif editButton.is_displayed() == True:\\r\\n\\t\\t\\t\\t\\toutput = writer(\\\"VERIFY:\\\\texitEditButton Present\\\\tPASS\\\",output)\\r\\n\\t\\t\\t\\t\\tverify = 1\\r\\n\\t\\t\\texcept TimeoutException:\\r\\n\\t\\t\\t\\toutput = writer(\\\"INFO:\\\\tCatastrophic DOM Error\\\",output)\\r\\n\\t\\t\\t#-------------------------\\r\\n\\t\\texcept TimeoutException:\\r\\n\\t\\t\\toutput = writer(\\\"INFO:\\\\tgo to Admin iframe failed\\\",output)\\t\\r\\n\\treturn verify\",\n \"def test_anon_page_admin(self):\\n self._make_quick_page()\\n\\n dropdown_menu_btn = self._get_one('.dropdown-toggle')\\n show_opts_btn = self._get_one('.options-btn')\\n options_menu = self._get_one('.pageOptions')\\n\\n self.assertTrue(dropdown_menu_btn.is_displayed())\\n dropdown_menu_btn.click()\\n self.assertTrue(show_opts_btn.is_displayed())\\n\\n # Something weird related to auto-open options menu.\\n # Maybe this conditional will fix it? <:)\\n if not options_menu.is_displayed():\\n show_opts_btn.click()\\n self.assertTrue(options_menu.is_displayed())\\n\\n settings_btn = self._find_one_with_text('li.tabs-tab', 'Settings')\\n self.assertTrue(settings_btn.is_displayed())\\n settings_btn.click()\\n\\n title_input = self._get_one('input.title')\\n title_input.clear()\\n TITLE = 'A Title Most Titular'\\n title_input.send_keys(TITLE)\\n\\n # Make it published, so that our anon viewer can access it\\n published_input = self._get_one('.published')\\n published_input.click()\\n\\n # TODO: better solution. need to wait for autosave\\n # This may have to wait for request-queuing in the Backbone model.\\n import time; time.sleep(1) \\n\\n # Now pretend we're someone else\\n self.selenium.delete_all_cookies()\\n self.selenium.refresh()\\n for cookie in self.selenium.get_cookies():\\n self.assertFalse(cookie['name'].startswith('claim'))\\n\\n # make sure we aren't admins\\n self.assertFalse(self._find('.dropdown-toggle')) \\n\\n # check that we got the new title\\n self.assertEqual(self.selenium.title, TITLE)\",\n \"def test_empty_private(self):\\n self.do_visible(True, None, False, is_admin=True)\",\n \"def test_e_editar_atributo(self): \\n print '+++ Edicion de atributo +++'\\n request = self._editar_atributo(nombre, 'descrip editada','String')\\n print '*-- datos de prueba ::: ' + nombre+', '+ 'descrip editada' + ', ' + str(id_tipo_atributo) +' --*'\\n self.assertNotIn('Debe loguearse primeramente!!!!', request.data, 'No se ha logueado correctamente')\\n self.assertNotIn('No posee los permisos suficientes para realizar la operacion', request.data, 'No tiene permisos para editar atributos')\\n self.assertNotIn('Error', request.data, 'Tiene errores el form')\\n self.assertIn('El atributo ha sido editado con exito', request.data, 'Error al editar la atributo')\\n print '*-- request result: ' + request._status + ' --*'\\n self.assertIn(nombre, request.data, 'El atributo creado no se encuentra en la tabla')\\n print '*-- '+nombre+' creado correctamente, aparece en la tabla de atributos--*'\\n print '*---test 5 atributo---*'\",\n \"def test_edit_not_found(self):\\n\\n url = '/%s/job-types/missing-job/1.0.0/' % self.api\\n json_data = {\\n 'icon_code': 'BEEF',\\n 'is_active': False,\\n 'is_paused': True,\\n 'max_scheduled': 9\\n }\\n response = self.client.generic('PATCH', url, json.dumps(json_data), 'application/json')\\n self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND, response.content)\",\n \"def test_not_creator_cannot_update_tab(self):\\n\\n logged_user = utils.create_user_and_authenticate(self)\\n self.group.users.add(logged_user)\\n expected_url = reverse('group_view', args=(self.group.pk,))\\n\\n utils.test_cannot_access(self, self.url, expected_url, self.data)\",\n \"def test_edit_idea_invalid_id(self):\\n # invalid boardid\\n self.newidea()\\n rv = self.app.post('/3/1',\\n data=dict(name='Test Idea', content='This is an edited idea.', colour='black'),\\n follow_redirects=True)\\n self.assertIn(b'error', rv.data)\\n # invalid ideaid\\n rv = self.app.post('/1/35',\\n data=dict(name='Test Idea', content='This is an edited idea.', colour='black'),\\n follow_redirects=True)\\n self.assertIn(b'error', rv.data)\",\n \"def test_plusrecords_on_edit(self):\\n self.go200('minus_plus_upload')\\n self.formfile('minus_plus_upload', 'file', AUDIO_FILE)\\n self.submit200()\\n self.go200('minus_upload')\\n self.formfile('minus_upload', 'file', AUDIO_FILE)\\n self.submit200()\\n self.go200('minus_plus_upload')\\n self.formfile('minus_plus_upload', 'file', AUDIO_FILE)\\n self.submit200()\\n self.assert_equal(MinusPlusRecord.objects.count(), 2)\\n self.go200('minus_edit', [self.superuser, 1])\\n self.fv('minus_upload', 'author', \\\"brams\\\")\\n self.submit200()\\n self.find('Плюс')\\n self.assert_equal(MinusPlusRecord.objects.count(), 1)\",\n \"def test_homepage_has_correct_buttons_showing_when_not_logged_in(testapp):\\n html = testapp.get('/').html\\n logout = html.find(class_=\\\"navbar-right\\\").text\\n create = html.find(href=\\\"http://localhost/journal/new-entry\\\")\\n assert logout == '\\\\n Login\\\\n'\\n assert not create\",\n \"def test_filter_not_available_plugins(plugin_dialog_constructor):\\n item = plugin_dialog_constructor.available_list.item(0)\\n widget = plugin_dialog_constructor.available_list.itemWidget(item)\\n if widget:\\n assert not widget.action_button.isEnabled()\\n assert widget.warning_tooltip.isVisible()\\n\\n item = plugin_dialog_constructor.available_list.item(1)\\n widget = plugin_dialog_constructor.available_list.itemWidget(item)\\n assert widget.action_button.isEnabled()\\n assert not widget.warning_tooltip.isVisible()\",\n \"def test_doNotDeleteInput(self):\\n input1 = self.getArbitraryLoreInput(0)\\n self.howtoDir.child(\\\"one.xhtml\\\").setContent(input1)\\n self.builder.build(\\\"whatever\\\", self.howtoDir, self.howtoDir,\\n self.templateFile)\\n self.assertTrue(self.howtoDir.child('one.html').exists())\\n self.assertTrue(self.howtoDir.child('one.xhtml').exists())\",\n \"def test_edit_object_with_require_auth_false(self):\\n self.test_object.require_auth = False\\n self.test_object.save()\\n response = self.client.put(\\n f\\\"/permissiontest/{self.test_object.id}/\\\", self.test_update_object\\n )\\n self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)\",\n \"def __disableSearchEdit(self):\\n self.__searchEdit.setEnabled(False)\",\n \"def edit_form():\\n return template (\\\"edit\\\")\",\n \"def test_unpublish_button_appears(self):\\n response = self.client.get(reverse('wagtailnews:index', kwargs={\\n 'pk': self.index.pk}))\\n self.assertContains(response, self.url)\",\n \"def test_switch_hidden1(self):\\n self.test_object.switch_hidden()\\n self.assertFalse(self.test_object.get_hidden())\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.7547432","0.7475458","0.7041201","0.69749355","0.6963794","0.67356116","0.67291766","0.67238355","0.6703853","0.66721207","0.66637516","0.6596547","0.64760447","0.64688814","0.64615196","0.6449737","0.6417447","0.62691915","0.62185276","0.6200553","0.6166819","0.61662614","0.6146125","0.6145196","0.6119415","0.61126417","0.6093448","0.6088612","0.60718274","0.607008","0.6065055","0.6058427","0.6050157","0.6041805","0.60377055","0.6022438","0.60218656","0.5994554","0.59872144","0.59871984","0.59860724","0.5985094","0.5984818","0.59694237","0.59577024","0.5957616","0.59459144","0.5909859","0.5880976","0.5844073","0.583593","0.58315855","0.5821273","0.58203834","0.581991","0.5816084","0.57924294","0.57924294","0.5789112","0.57778674","0.57762915","0.57718074","0.57609373","0.57543296","0.57424945","0.5739963","0.5739306","0.5733204","0.573133","0.57266045","0.57265484","0.57255363","0.5721654","0.5720664","0.5720469","0.5718076","0.5717738","0.5716459","0.57108283","0.5704007","0.56757146","0.5664469","0.56490254","0.56427014","0.5631128","0.5630031","0.56222254","0.56218404","0.5619068","0.56141","0.5610837","0.5603473","0.5588801","0.5588159","0.55865276","0.5584507","0.557897","0.55788785","0.5574701","0.55484504"],"string":"[\n \"0.7547432\",\n \"0.7475458\",\n \"0.7041201\",\n \"0.69749355\",\n \"0.6963794\",\n \"0.67356116\",\n \"0.67291766\",\n \"0.67238355\",\n \"0.6703853\",\n \"0.66721207\",\n \"0.66637516\",\n \"0.6596547\",\n \"0.64760447\",\n \"0.64688814\",\n \"0.64615196\",\n \"0.6449737\",\n \"0.6417447\",\n \"0.62691915\",\n \"0.62185276\",\n \"0.6200553\",\n \"0.6166819\",\n \"0.61662614\",\n \"0.6146125\",\n \"0.6145196\",\n \"0.6119415\",\n \"0.61126417\",\n \"0.6093448\",\n \"0.6088612\",\n \"0.60718274\",\n \"0.607008\",\n \"0.6065055\",\n \"0.6058427\",\n \"0.6050157\",\n \"0.6041805\",\n \"0.60377055\",\n \"0.6022438\",\n \"0.60218656\",\n \"0.5994554\",\n \"0.59872144\",\n \"0.59871984\",\n \"0.59860724\",\n \"0.5985094\",\n \"0.5984818\",\n \"0.59694237\",\n \"0.59577024\",\n \"0.5957616\",\n \"0.59459144\",\n \"0.5909859\",\n \"0.5880976\",\n \"0.5844073\",\n \"0.583593\",\n \"0.58315855\",\n \"0.5821273\",\n \"0.58203834\",\n \"0.581991\",\n \"0.5816084\",\n \"0.57924294\",\n \"0.57924294\",\n \"0.5789112\",\n \"0.57778674\",\n \"0.57762915\",\n \"0.57718074\",\n \"0.57609373\",\n \"0.57543296\",\n \"0.57424945\",\n \"0.5739963\",\n \"0.5739306\",\n \"0.5733204\",\n \"0.573133\",\n \"0.57266045\",\n \"0.57265484\",\n \"0.57255363\",\n \"0.5721654\",\n \"0.5720664\",\n \"0.5720469\",\n \"0.5718076\",\n \"0.5717738\",\n \"0.5716459\",\n \"0.57108283\",\n \"0.5704007\",\n \"0.56757146\",\n \"0.5664469\",\n \"0.56490254\",\n \"0.56427014\",\n \"0.5631128\",\n \"0.5630031\",\n \"0.56222254\",\n \"0.56218404\",\n \"0.5619068\",\n \"0.56141\",\n \"0.5610837\",\n \"0.5603473\",\n \"0.5588801\",\n \"0.5588159\",\n \"0.55865276\",\n \"0.5584507\",\n \"0.557897\",\n \"0.55788785\",\n \"0.5574701\",\n \"0.55484504\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.7441782"},"document_rank":{"kind":"string","value":"2"}}},{"rowIdx":86775,"cells":{"query":{"kind":"string","value":"Test users can unpublish NewsItems"},"document":{"kind":"string","value":"def test_has_permission(self):\n self.assertStatusCode(self.url, 200)"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def test_unpublish_button_appears(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertContains(response, self.url)","def test_no_unpublish_button_appears(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertNotContains(response, self.url)","def test_unpublish_as_publisher(self):\n e = self.make_event()\n e.published=True\n e.save()\n resp = self.request_with_role('/admin/events/unpublish/%s' % e.id, role='publisher',\n method='POST', follow_redirects=True)\n self.assertIn('Event unpublished', resp.data)\n self.assertEqual(resp.status_code, 200)\n self.assertEqual(Event.objects(published=False).count(), 1)","def test_unpublish_as_editor(self):\n e = self.make_event()\n e.published=True\n e.save()\n resp = self.request_with_role('/admin/events/unpublish/%s' % e.id, role='editor',\n method='POST')\n self.assertEqual(resp.status_code, 401)\n self.assertEqual(Event.objects(published=False).count(), 0)","def test_unpublish_event_as_publisher_when_event_does_not_exist(self):\n e = self.make_event()\n e.published=True\n e.save()\n other_id = ObjectId()\n resp = self.request_with_role('/admin/events/unpublish/%s' % other_id, role='publisher',\n method='POST', follow_redirects=True)\n self.assertIn('Invalid event id', resp.data)\n self.assertEqual(resp.status_code, 200)\n self.assertEqual(Event.objects(published=False).count(), 0)","def unpublish_item_action(modeladmin, request, queryset):\n\n count = queryset.filter(published=True).update(published=False)\n asset_count = Asset.objects.filter(item__in=queryset, published=True).update(\n published=False\n )\n\n messages.info(request, f\"Unpublished {count} items and {asset_count} assets\")","def test_chooser_has_perms_no_news(self):\n response = self.client.get(reverse('wagtailnews:choose'))\n self.assertEqual(response.status_code, 200)","def test_unpopular(self):\n self.assertFalse(self.user3.is_popular())\n self.user3.receive_upvotes(randint(101, 10000))\n self.assertTrue(self.user3.is_popular())","def canUnpublish(id, userId):\n db = core.connect()\n theShift = db[id]\n return user.isAdmin(userId) or (userId == theShift['createdBy'])","def test_page_list_unauthorised(self):\n user = self.get_superuser()\n title_1 = 'page'\n title_2 = 'inner'\n title_3 = 'page 3'\n page = create_page(title_1, 'page.html', 'en', published=True)\n page_2 = create_page(title_2, 'page.html', 'en', published=True, parent=page)\n page_3 = create_page(title_3, 'page.html', 'en', published=False)\n\n url = reverse('api:page-list')\n response = self.client.get(url, format='json')\n self.assertEqual(len(response.data), 2)\n for page in response.data:\n self.assertIn(page.get('title'), {title_1, title_2})","def unpublish_action(modeladmin, request, queryset):\n\n count = queryset.filter(published=True).update(published=False)\n messages.info(request, f\"Unpublished {count} objects\")","def test_a_user_can_dislike_an_article(self):\n article = self.create_article()\n\n slug = article.data['data']['slug']\n dislike = self.client.post('/api/articles/{}/dislike/'.format(slug),\n HTTP_AUTHORIZATION='Bearer ' +\n self.token,\n format='json')\n\n self.assertEqual(dislike.status_code, 200)","def test_news_index_no_perm(self):\n self.assertStatusCode(self.url, 403)","def test_user_can_not_enroll_to_unpublished_project(self):\n self.client.force_authenticate(self.global_user_1)\n\n # Make sure nothing is found - not enrolled.\n resp = self.client.get(self.api_project_state_not_enrolled_unpublished_url)\n self.assertEqual(resp.status_code, 404)\n\n #NOTE: Allowed!\n # # POST and make sure the user is enrolled\n # resp = self.client.post(self.api_project_state_not_enrolled_unpublished_url)\n # self.assertEqual(resp.status_code, 403)\n # resp = self.client.get(self.api_project_state_not_enrolled_unpublished_url)\n # self.assertEqual(resp.status_code, 404)","def test_an_unauthenticated_user_cannot_dislike_article(self):\n article = self.create_article()\n\n slug = article.data['data']['slug']\n dislike = self.client.post('/api/articles/{}/dislike/'.format(slug),\n format='json')\n\n self.assertEqual(\n dislike.data['detail'], \"Authentication credentials were not provided.\")\n self.assertEqual(dislike.status_code, 401)","def test_user_can_change_not_author(self):\n self.assertFalse(self.story.user_can_change(self.user2))","def test_post_creation_unauthorized(self):\n url = reverse('post-list')\n user_url = reverse('user-detail', kwargs={'pk': self.superuser.id})\n title = 'Test Title'\n body = 'Test Body'\n response = self.client.post(url, {'title': title, 'body': body, 'user': user_url}, format='json')\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)","def test_get_reusableitem_api_not_public(self):\n\n # user not logged in\n self.client.logout()\n\n response = self.client.get(get_reusable_item_1_url(self))\n\n self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)\n\n # user logged in and created the Reusable Item\n self.client.force_authenticate(user=self.user_1)\n\n response = self.client.get(get_reusable_item_1_url(self))\n\n self.assertEqual(response.status_code, status.HTTP_200_OK)\n\n # user logged in and did not create the Reusable Item\n self.client.logout()\n self.client.force_authenticate(user=self.user_2)\n\n response = self.client.get(get_reusable_item_1_url(self))\n\n self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)","def test_unlike_mission(self):\n\n self.mission.likes = {0, self.user2.id}\n db.session.commit()\n mission = Mission.query.get(self.mission.id)\n # make sure like is there in mission.likes.\n self.assertEqual(mission.likes, {0, self.user2.id})\n\n with self.client as c:\n with c.session_transaction() as sess:\n sess['user_id'] = self.user2.id\n\n resp = c.post(f'/v1/mission/like{self.mission.id}')\n\n self.assertEqual(resp.json['success'], 'removed')\n mission = Mission.query.get(self.mission.id)\n self.assertEqual(mission.likes, {0})","def test_unauthenticated_user_disliking(self):\n self.like_dislike(self.like_url(6))","def test_post_creation_unauthenticated(self):\n url = reverse('post-list', args=[self.topic1.url_name])\n payload = {\n 'author': self.user1.id,\n 'title': 'Creating a post while being unauthenticated',\n 'content': 'Rich content 5',\n }\n response = self.client.post(url, payload)\n\n self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)\n new_post = Post.objects.filter(\n author=self.user1,\n title=payload.get('title'),\n content=payload.get('content'),\n topic=self.topic1\n )\n self.assertFalse(new_post.exists())","def test_user_without_share(self):\n set_permission(Permission.EDIT, self.user1, self.collection)\n\n # Can not add permissions to users.\n data = {\"users\": {self.user2.pk: \"view\"}}\n resp = self._detail_permissions(self.collection.pk, data, self.user1)\n self.assertEqual(resp.status_code, status.HTTP_403_FORBIDDEN)\n\n # Can not add permissions to groups.\n data = {\"users\": {self.group.pk: \"view\"}}\n resp = self._detail_permissions(self.collection.pk, data, self.user1)\n self.assertEqual(resp.status_code, status.HTTP_403_FORBIDDEN)","def test_no_delete_button_appears_edit(self):\n response = self.client.get(reverse('wagtailnews:edit', kwargs={\n 'pk': self.index.pk, 'newsitem_pk': self.newsitem.pk}))\n self.assertNotContains(response, self.url)","def test_user_can_not_enroll_to_unpublished_lesson(self):\n self.client.force_authenticate(self.global_user_1)\n\n # Make the unpublished project owned by the authenticated user:\n self.project_unpublished.owner = self.global_user_1\n self.project_unpublished.save()\n\n # Make sure nothing is found - not enrolled.\n resp = self.client.get(self.api_lesson_state_not_enrolled_unpublished_url)\n self.assertEqual(resp.status_code, 404)\n\n #NOTE: Allowed!\n # # POST and make sure the user is enrolled\n # resp = self.client.post(self.api_lesson_state_not_enrolled_unpublished_url)\n # self.assertEqual(resp.status_code, 403)\n # resp = self.client.get(self.api_lesson_state_not_enrolled_unpublished_url)\n # self.assertEqual(resp.status_code, 404)\n\n # Other user (that do not have access to the project)\n\n # Make the unpublished project owned by a user that is not child or delegator of the authenticated user:\n new_owner = get_user_model().objects.exclude(\n Q(pk=self.global_user_1.pk) |\n Q(pk__in=self.global_user_1.delegators.all()) |\n Q(pk__in=self.global_user_1.children.all())\n )[0]\n self.project_unpublished.owner = new_owner\n self.project_unpublished.save()\n\n # Make sure nothing is found - not enrolled.\n resp = self.client.get(self.api_lesson_state_not_enrolled_unpublished_url)\n self.assertEqual(resp.status_code, 404)\n\n # POST and make sure the user is enrolled\n resp = self.client.post(self.api_lesson_state_not_enrolled_unpublished_url)\n self.assertEqual(resp.status_code, 404)\n resp = self.client.get(self.api_lesson_state_not_enrolled_unpublished_url)\n self.assertEqual(resp.status_code, 404)","def test_unlike_topic_viewset(self):\n\n topic = TopicFactory(author=self.user)\n self.client.post(reverse('api:topics-like', kwargs={'topic_id': topic.id}))\n response = self.client.post(reverse('api:topics-unlike', kwargs={'topic_id': topic.id}))\n self.assertEqual(response.status_code, status.HTTP_200_OK)\n obj_type = ContentType.objects.get_for_model(topic)\n likes = Like.objects.filter(\n content_type=obj_type, object_id=topic.id, user=self.user)\n self.assertFalse(likes.exists())","def test_update_by_non_owner(self):\n # User 1\n saved1 = self.create_article()\n article_url = saved1[0]\n # get user2 details\n token = self.create_article_user2()\n response = self.test_client.put(article_url,self.article_update_data, format='json', HTTP_AUTHORIZATION=token)\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)","def test_no_edit_button_appears(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertNotContains(response, self.url)","def test_get_reusableitem_api_public(self):\n\n self.reusableitem_1.is_public = True\n self.reusableitem_1.save()\n\n self.client.logout()\n\n\n response = self.client.get(get_reusable_item_1_url(self))\n\n self.assertEqual(response.status_code, status.HTTP_200_OK)","def test_unshelve(self, *_):\n with patch(\"bookwyrm.models.activitypub_mixin.broadcast_task.delay\"):\n models.ShelfBook.objects.create(\n book=self.book, user=self.local_user, shelf=self.shelf\n )\n item = models.ShelfBook.objects.get()\n\n self.shelf.save()\n self.assertEqual(self.shelf.books.count(), 1)\n request = self.factory.post(\"\", {\"book\": self.book.id, \"shelf\": self.shelf.id})\n request.user = self.local_user\n with patch(\"bookwyrm.models.activitypub_mixin.broadcast_task.delay\") as mock:\n views.unshelve(request)\n activity = json.loads(mock.call_args[0][1])\n self.assertEqual(activity[\"type\"], \"Remove\")\n self.assertEqual(activity[\"object\"][\"id\"], item.remote_id)\n self.assertEqual(self.shelf.books.count(), 0)","def test_topic_notification_list_dont_show_topic_removed_or_no_access(self):\n TopicNotification.objects.all().delete()\n\n category = utils.create_category()\n category_removed = utils.create_category(is_removed=True)\n subcategory = utils.create_category(parent=category_removed)\n subcategory_removed = utils.create_category(\n parent=category, is_removed=True)\n topic_a = utils.create_private_topic()\n topic_b = utils.create_topic(category=category, is_removed=True)\n topic_c = utils.create_topic(category=category_removed)\n topic_d = utils.create_topic(category=subcategory)\n topic_e = utils.create_topic(category=subcategory_removed)\n TopicNotification.objects.create(\n user=self.user, topic=topic_a.topic,\n comment=self.comment, is_active=True, action=COMMENT)\n TopicNotification.objects.create(\n user=self.user, topic=topic_b,\n comment=self.comment, is_active=True, action=COMMENT)\n TopicNotification.objects.create(\n user=self.user, topic=topic_c,\n comment=self.comment, is_active=True, action=COMMENT)\n TopicNotification.objects.create(\n user=self.user, topic=topic_d,\n comment=self.comment, is_active=True, action=COMMENT)\n TopicNotification.objects.create(\n user=self.user, topic=topic_e,\n comment=self.comment, is_active=True, action=COMMENT)\n self.assertEqual(\n len(TopicNotification.objects.filter(\n user=self.user, is_active=True, is_read=False)),\n 5)\n\n utils.login(self)\n response = self.client.get(reverse('spirit:topic:notification:index'))\n self.assertEqual(list(response.context['notifications']), [])\n\n # list unread should behave the same\n response = self.client.get(\n reverse('spirit:topic:notification:index-unread'))\n self.assertEqual(list(response.context['page']), [])\n\n # ajax list should behave the same\n response = self.client.get(\n reverse('spirit:topic:notification:index-ajax'),\n HTTP_X_REQUESTED_WITH='XMLHttpRequest')\n res = json.loads(response.content.decode('utf-8'))\n self.assertEqual(len(res['n']), 0)","def test_subscriptions_anonymous(self):\n self.go200('forum_index')\n self.notfind('Оновити підписки')\n self.go200('forum_subscriptions')\n self.url(self.build_url('auth_login')+'.*')","def test_get_post_list_logged_out(self):\n url = reverse('post-list')\n response = self.client.get(url)\n self.assertEqual(response.status_code, status.HTTP_200_OK)","def test_post_list_unauthorized(self):\n self.assertHttpUnauthorized(self.api_client.post('/api/0.1/stories/', format='json'))","def test_a_user_can_delete_dislike(self):\n article = self.create_article()\n\n slug = article.data['data']['slug']\n self.client.post('/api/articles/{}/dislike/'.format(slug),\n HTTP_AUTHORIZATION='Bearer ' +\n self.token,\n format='json')\n dislike = self.client.post('/api/articles/{}/dislike/'.format(slug),\n HTTP_AUTHORIZATION='Bearer ' +\n self.token,\n format='json')\n\n self.assertEqual(dislike.status_code, 200)","def test_get_update_blog_post_anonymous_user(self):\n\n test_blog = Post.objects.get(title=\"test1\")\n url = reverse('blogs:updated', kwargs={'slug': test_blog.slug})\n response = self.client.get(url)\n\n self.assertEqual(response.status_code, 403)","def test_post_update_unauthorized(self):\n url = reverse('post-detail', kwargs={'pk': self.post.id})\n user_url = reverse('user-detail', kwargs={'pk': self.superuser.id})\n title = 'Random New Title'\n body = 'Random New Body'\n response = self.client.put(url, {'title': title, 'body': body, 'user': user_url}, format='json')\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)","def test_getting_of_an_escalated_article_with_users(self):\n token = self.user1.token()\n self.client.credentials(\n HTTP_AUTHORIZATION='Bearer ' + token)\n resp = self.get_article()\n self.assertEqual(resp.status_code, status.HTTP_403_FORBIDDEN)\n self.assertEqual(resp.data[\"error\"], self.get_admin)","def test_unlisted_addon(self):\n addon = Addon.objects.get(pk=3615)\n self.make_addon_unlisted(addon)\n\n up = self.get(self.good_data)\n assert up.is_valid()","def test_unlike_activity(self):\n from .mockers import user_status_context\n from .mockers import subscribe_context, create_context\n username = 'messi'\n username_not_me = 'xavi'\n self.create_user(username)\n self.create_user(username_not_me)\n self.create_context(create_context)\n self.admin_subscribe_user_to_context(username, subscribe_context)\n self.admin_subscribe_user_to_context(username_not_me, subscribe_context)\n res = self.create_activity(username, user_status_context)\n activity_id = res.json['id']\n self.testapp.post('/activities/%s/likes' % activity_id, '', oauth2Header(username_not_me), status=201)\n self.testapp.delete('/activities/%s/likes/%s' % (activity_id, username_not_me), '', oauth2Header(username_not_me), status=204)\n activity = self.testapp.get('/activities/%s' % activity_id, '', oauth2Header(username), status=200)\n\n self.assertEqual(activity.json['likes'], [])\n self.assertEqual(activity.json['liked'], False)\n self.assertEqual(activity.json['likesCount'], 0)","def test_unauthorized_user_like_field(self):\n response = self.client.get(reverse('lessons-detail', args=(1,)))\n self.assertEqual(response.status_code, status.HTTP_200_OK)\n self.assertNotIn('like', response.data)","def test_published_story_must_be_visible_for_everyone_but_blocked(self):\n self.assertEqual(self.ps.is_visible_for(self.au), True)\n\n \"\"\" Published story must be visible for another.\"\"\"\n self.assertEqual(self.ps.is_visible_for(self.u2), True)\n\n \"\"\" Publsihed story must be visible for owner. \"\"\"\n self.assertEqual(self.ps.is_visible_for(self.u1), True)\n\n \"\"\" Draft story must not be visible for a blocked user. \"\"\"\n self.assertEqual(self.ds.is_visible_for(self.u3), False)","def test_limit_items(self):\n AnnouncementFactory(\n title=\"Not going to be there\",\n expires_at=timezone.now() - datetime.timedelta(days=1),\n )\n for i in range(5):\n AnnouncementFactory()\n\n response = self.get(\"announcements:feed\")\n\n assert \"Not going to be there\" not in response.content.decode()","def test_guests_can_not_post_message(self):\n url = reverse('posts-list')\n data = {'title': 'some title', 'body': 'somebody :P'}\n response = self.client.post(url, data, format='json')\n self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)","def test_not_logged_in(self):\n\n # test show album\n self.perm_escalate_helper(self.albumcontrol, self.showalbumrequest, self.testalbum, self.testalbum.id,\n AnonymousUser(), album.display_album, ALBUM_PUBLIC)\n\n # test photo view\n self.perm_escalate_helper_get_with_client(self.albumcontrol, self.testalbum, self.photo.id,\n \"photoid\", \"show_photo\", ALBUM_PUBLIC)\n\n # test individual photo view page\n self.perm_escalate_helper(self.albumcontrol, self.indivphotorequest, self.testalbum, self.photo.id,\n AnonymousUser(), album.display_photo, ALBUM_PUBLIC)","def test_unauthenticated_user_liking(self):\n self.like_dislike(self.dislike_url(5))","def test_delete_of_an_escalated_article_with_user(self):\n token = self.user1.token()\n self.client.credentials(\n HTTP_AUTHORIZATION='Bearer ' + token)\n resp = self.delete_article()\n self.assertEqual(resp.status_code, status.HTTP_403_FORBIDDEN)\n self.assertEqual(resp.data[\"error\"], self.user_delete)","def test_default_publish(self):\n self.assertIs(self.photo.published, 'Public')","def test_post_no_permission(self):\n self.user.user_permissions.clear()\n response = self._post()\n self.assertRedirectsToLogin(response)\n self.assertEquals(self.model.objects.count(), 0)","def test_post_no_permission(self):\n self.user.user_permissions.clear()\n response = self._post()\n self.assertRedirectsToLogin(response)\n self.assertEquals(self.model.objects.count(), 1)","def test_no_inactive_users(self):\n u = UserFactory(is_active=False)\n\n q = Question(title=\"Test Question\", content=\"Lorem Ipsum Dolor\", creator_id=u.id)\n q.save()\n assert q.id not in [x.id for x in QuestionsFeed().items({})]","def test_no_add_button_appears(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertNotContains(response, self.url)","def test_user_can_change_inactive(self):\n self.assertTrue(self.story.user_can_change(self.user1))\n self.user1.is_active = False \n self.assertFalse(self.story.user_can_change(self.user1))","def test_successfult_post_deletion(self):\n self.user.is_moderator = True\n self.user.save()\n response = self.client.delete(reverse('api:posts-detail', kwargs={'pk': self.post1.id}))\n self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)\n self.assertEqual(Post.objects.count(), 1)","def test_unauthenticated(self):\n self.logout_user()\n\n response = self.client.get(self.api_link)\n self.assertContains(response, \"sign in to use private threads\", status_code=403)","def test_recentactions_without_content_type(self):\n response = self.client.get(reverse(\"admin:index\"))\n link = reverse(\"admin:admin_utils_article_change\", args=(quote(self.a1.pk),))\n should_contain = \"\"\"<a href=\"%s\">%s</a>\"\"\" % (\n escape(link),\n escape(repr(self.a1)),\n )\n self.assertContains(response, should_contain)\n should_contain = \"Article\"\n self.assertContains(response, should_contain)\n logentry = LogEntry.objects.get(content_type__model__iexact=\"article\")\n # If the log entry doesn't have a content type it should still be\n # possible to view the Recent Actions part (#10275).\n logentry.content_type = None\n logentry.save()\n\n should_contain = should_contain.encode()\n counted_presence_before = response.content.count(should_contain)\n response = self.client.get(reverse(\"admin:index\"))\n counted_presence_after = response.content.count(should_contain)\n self.assertEqual(counted_presence_before - 1, counted_presence_after)","def test_should_render_with_unpublished(self) -> None:\n self.assertFalse(self.action.should_render(\n context=self._create_request_context(public=False)))","def test_should_render_user_with_can_change_status_and_unpublished(\n self,\n ) -> None:\n self.assertFalse(self.action.should_render(\n context=self._create_request_context(\n can_change_status=True,\n public=False,\n user=self.create_user())))","def test_topic_notification_has_notifications_dont_count_topic_removed_or_no_access(self):\n TopicNotification.objects.all().delete()\n\n category = utils.create_category()\n category_removed = utils.create_category(is_removed=True)\n subcategory = utils.create_category(parent=category_removed)\n subcategory_removed = utils.create_category(\n parent=category, is_removed=True)\n topic_a = utils.create_private_topic()\n topic_b = utils.create_topic(category=category, is_removed=True)\n topic_c = utils.create_topic(category=category_removed)\n topic_d = utils.create_topic(category=subcategory)\n topic_e = utils.create_topic(category=subcategory_removed)\n TopicNotification.objects.create(\n user=self.user, topic=topic_a.topic,\n comment=self.comment, is_active=True, action=COMMENT)\n TopicNotification.objects.create(\n user=self.user, topic=topic_b,\n comment=self.comment, is_active=True, action=COMMENT)\n TopicNotification.objects.create(\n user=self.user, topic=topic_c,\n comment=self.comment, is_active=True, action=COMMENT)\n TopicNotification.objects.create(\n user=self.user, topic=topic_d,\n comment=self.comment, is_active=True, action=COMMENT)\n TopicNotification.objects.create(\n user=self.user, topic=topic_e,\n comment=self.comment, is_active=True, action=COMMENT)\n\n self.assertEqual(\n len(TopicNotification.objects.filter(\n user=self.user, is_active=True, is_read=False)),\n 5)\n self.assertFalse(has_topic_notifications(self.user))","def test_save_unwatched_episodes(self):\n save_episodes(self.schedule.episodes)\n for show in FollowedShows.objects.filter(user_id=self.user.id):\n self.assertTrue(show.unwatchedepisode_set.all().count() > 0)","def test_public_status_page_remove_authorization_from_public_status_page(self):\n pass","def test_alice_unread(self):\n messages = list(self.alice_storage.unread)\n self.assertEqual(1, len(messages))\n self.assertIn(self.bob_message_to_group1, messages)\n self.assertNotIn(self.read_message, messages)\n self.assertNotIn(self.alice_message_to_bob, messages)\n self.assertNotIn(self.archived_message, messages)","def test_post_delete_post_as_anonymous_user(self):\n last_post = Post.objects.get(title=\"test3\")\n url = reverse('blogs:delete', kwargs={'slug': last_post.slug})\n response = self.client.get(url)\n\n # There should still be a blog post with this title. Hence we should still be able to find the blog post\n check_post = Post.objects.get(slug=last_post.slug)\n self.assertEqual(check_post.title, last_post.title)\n self.assertEqual(check_post.content, last_post.content)\n self.assertEqual(check_post.pk, last_post.pk)\n self.assertEqual(response.status_code, 403)","def test_destroy_not_owner(self):\n\n self.assertEqual(first=1, second=Post.objects.all().count())\n url = reverse('post-detail', args=(self.post.id,))\n self.client.credentials(HTTP_AUTHORIZATION=self.token_1)\n response = self.client.delete(path=url)\n self.assertEqual(first=403, second=response.status_code)\n self.assertEqual(first=1, second=Post.objects.all().count())","def test_news_index_has_perm(self):\n self.assertStatusCode(self.url, 200)","def test_an_unauthenticated_user_cannot_like_article(self):\n article = self.create_article()\n\n slug = article.data['data']['slug']\n like = self.client.post('/api/articles/{}/like/'.format(slug),\n format='json')\n\n self.assertEqual(\n like.data['detail'], \"Authentication credentials were not provided.\")\n self.assertEqual(like.status_code, 401)","def test_post_no_permission(self):\n self.user.user_permissions.clear()\n response = self._post()\n self.assertRedirectsToLogin(response)\n self._assert_no_change()","def test_create_reusableitem_not_verified(self):\n\n email_address = EmailAddress.objects.get(user_id=self.user_1.id)\n email_address.verified = False\n email_address.save()\n\n self.client.force_authenticate(user=self.user_1)\n\n toptenitems = self.toptenlist_1.topTenItem.all()\n toptenitem_1_id = toptenitems[0].id\n\n response = create_reusable_item_1(self, toptenitem_1_id, **reusableitem_1_data)\n\n # the user can see the Top Ten Item because they created it\n # but cannot change it because their email address is not verified\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)","def test_alice_unread(self):\n messages = list(self.alice_inbox.unread)\n self.assertEqual(1, len(messages))\n self.assertIn(self.bob_message_to_group1, messages)\n self.assertNotIn(self.read_message, messages)\n self.assertNotIn(self.alice_message_to_bob, messages)\n self.assertNotIn(self.archived_message, messages)","def unpublish(id):\n db = core.connect()\n theShift = db[id]\n theShift[\"publishData\"][\"draft\"] = True\n db[id] = theShift","def test_unsubscribe_offer(self):\n pass","def test_can_not_add_more(self):\n set_up_one_user(self, 1, 0)\n login = self.client.login(username='test', password='2HJ1vRV0Z&3iD')\n response = self.client.get(reverse('index'))\n self.assertEqual(response.status_code, 200)\n self.assertContains(response, '<button id=\"modalButton\" type=\"button\" class=\"btn btn-info\" data-toggle=\"modal\" data-target=\"#myModal\" disabled=\"True\">Add new notification</button>')","def test_unauthorized_update_article(self):\n response = self.client.put(\n reverse(\n \"article\",\n kwargs={\n \"slug\": self.stored_articles[0].slug\n }),\n self.article_data,\n content_type='application/json',\n )\n\n self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)","def test_modify_reusableitem_not_authenticated(self):\n self.client.logout()\n \n response = self.client.patch(get_reusable_item_1_url(self), {}, format='json')\n\n self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)","def test_make_reusableitem_public_not_owner(self):\n\n # ensure is_public is false to start with\n original_reusableitem = ReusableItem.objects.get(pk=self.reusableitem_1.id)\n original_reusableitem.is_public = False\n original_reusableitem.save()\n\n self.client.force_authenticate(user=self.user_2)\n\n response = self.client.patch(get_reusable_item_1_url(self), {'is_public': True}, format='json')\n\n # the request should fail\n self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)","def test_clear_menu_by_regular_user(self):\n\n\t\tres = self.login_user()\n\t\tress = self.login_admin_user()\n\t\taccess_token = json.loads(res.data.decode())['access_token']\n\t\ta_access_token = json.loads(ress.data.decode())['access_token']\n\n\t\tresponse = self.client().post(\n\t\t\t'/api/v2/meals', \n\t\t\t\theaders={\"x-access-token\": a_access_token},\n\t\t\t\tdata = json.dumps(\n\t\t\t\tself.meal_data) , content_type = 'application/json')\n\t\tself.assertEqual(response.status_code, 201)\n\n\t\tresponse = self.client().post('/api/v2/menu/1',\n\t\t\theaders={\"x-access-token\": a_access_token},\n\t\t\tdata = json.dumps(\n\t\t\t\tself.meal_data), content_type = 'application/json')\n\t\tself.assertEqual(response.status_code, 200)\n\n\t\tresults = self.client().delete('/api/v2/menu',\n\t\t\theaders={\"x-access-token\": access_token})\n\t\tresponse = json.loads(results.data)\n\t\tself.assertEqual(results.status_code, 401)\n\t\tself.assertEqual(response[\"message\"], \n\t\t\t\"Not authorized to perform this function!\")","def test_create_reusableitem_not_authenticated(self):\n\n self.client.logout()\n\n toptenitems = self.toptenlist_1.topTenItem.all()\n toptenitem_1_id = toptenitems[0].id\n\n response = create_reusable_item_1(self, toptenitem_1_id, **reusableitem_1_data)\n\n # the request should fail\n self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)","def test_sort_saved_articles_DELETE_2(self):\r\n\r\n u1 = User.query.filter_by(username='testuser').one()\r\n\r\n with self.client as c:\r\n with c.session_transaction() as sess:\r\n sess[CURR_USER_KEY] = u1.id\r\n response = c.delete(f'/users/{u1.username}/saved-articles',\r\n data=f'path=_news%2F2020-04-26-test-article.md', follow_redirects=True)\r\n self.assertEqual(response.status_code, 200)","def test_valid_update_post_form_with_unpublish_article(\n self, proto_post, proto_user\n ):\n testfile = (\n b\"\\x47\\x49\\x46\\x38\\x39\\x61\\x01\\x00\\x01\\x00\\x00\\x00\\x00\\x21\\xf9\\x04\"\n b\"\\x01\\x0a\\x00\\x01\\x00\\x2c\\x00\\x00\\x00\\x00\\x01\\x00\\x01\\x00\\x00\\x02\"\n b\"\\x02\\x4c\\x01\\x00\\x3b\"\n )\n data = {\n \"title\": \"This is the modified title\",\n \"categories\": [36, 37],\n \"overview\": \"This is the modified overview\",\n \"content\": \"This is the modified content\",\n \"featured\": True,\n \"status\": 0,\n }\n form = EditForm(\n data,\n {\n \"thumbnail\": SimpleUploadedFile(\n \"small.gif\",\n testfile,\n content_type=\"image/gif\",\n )\n },\n )\n assert form.is_valid()","def test_not_approved_user(self):\n (_,\n joining_user_id,\n conversation_id,\n _) = self.setup_invites(is_approved=False)\n self.set_session_cookie(joining_user_id, conversation_id)\n self.set_user_cookie(joining_user_id, conversation_id)\n uri = '/status/{}/{}'.format(conversation_id, joining_user_id)\n rsp = self.client.post(uri,\n data={'public_key': '',\n 'last_message_seen_id': 0})\n\n rsp_json = json.loads(rsp.data)\n self.assertFalse(rsp_json['success'])","def test_project_user_membership_unauthorised_status(self):\n unauthorised_states = [\n ProjectUserMembership.REVOKED,\n ProjectUserMembership.SUSPENDED,\n ProjectUserMembership.DECLINED,\n ]\n for status in unauthorised_states:\n self.membership.status = status\n self.assertTrue(self.membership.unauthorised())","def test_get_deletable_mark_for_own_activity(self):\n from .mockers import user_status as activity\n username = 'messi'\n self.create_user(username)\n res = self.testapp.post('/people/%s/activities' % username, json.dumps(activity), oauth2Header(username), status=201)\n res = self.testapp.get('/activities/%s' % res.json['id'], '', oauth2Header(username), status=200)\n self.assertEqual(res.json['deletable'], True)","def test_put_detail_unauthorized(self):\n author = User.objects.create_user(\"test2\", \"test2@example.com\", \"test2\")\n story = create_story(title=\"Test Story\", summary=\"Test Summary\",\n byline=\"Test Byline\", status='published',\n author=author)\n self.api_client.client.login(username=self.username, password=self.password)\n post_data = {\n 'title': \"New Title\",\n 'summary': \"New Summary\",\n 'byline': \"New Byline\",\n 'status': \"published\",\n }\n response = self.api_client.put('/api/0.1/stories/%s/' % (story.story_id),\n format='json', data=post_data)\n self.assertHttpUnauthorized(response)","def test_sort_saved_articles_DELETE(self):\r\n\r\n with self.client:\r\n u = User.query.first()\r\n response = self.client.delete(\r\n f'/users/${u.username}/saved-articles', follow_redirects=True)\r\n self.assertIn(b'Unauthorized.', response.data)\r\n self.assertEqual(response.status_code, 200)","def test_chooser_no_perms(self):\n root_page = Page.objects.get(pk=2)\n root_page.add_child(instance=NewsIndex(\n title='News', slug='news'))\n root_page.add_child(instance=SecondaryNewsIndex(\n title='Secondary News', slug='secondary-news'))\n\n response = self.client.get(reverse('wagtailnews:choose'))\n self.assertEqual(response.status_code, 403)","def test_remove_yield(self, affiliate_items_url_factory, affiliate_network_factory):\n network = affiliate_network_factory(name='Network')\n\n with mock.patch('chiton.rack.affiliates.bulk.create_affiliate') as create_affiliate:\n affiliate = ValidatingAffiliate()\n affiliate.valid_tlds = ['com', 'org']\n create_affiliate.return_value = affiliate\n\n items = affiliate_items_url_factory(['biz', 'com', 'net', 'org'])\n for index, item in enumerate(items):\n item.name = 'Item %d' % (index + 1)\n item.network = network\n item.save()\n\n assert AffiliateItem.objects.count() == 4\n\n pruned = []\n for item_name, network_name, was_pruned in prune_affiliate_items(items.order_by('name')):\n pruned.append([item_name, network_name, was_pruned])\n\n assert pruned[0] == ['Item 1', 'Network', True]\n assert pruned[1] == ['Item 2', 'Network', False]\n assert pruned[2] == ['Item 3', 'Network', True]\n assert pruned[3] == ['Item 4', 'Network', False]","def test_video_detail_no_permission(\n mock_user_moira_lists, logged_in_apiclient, user_admin_list_data\n):\n client, _ = logged_in_apiclient\n mock_user_moira_lists.return_value = {\"some_other_list\"}\n url = reverse(\n \"video-detail\", kwargs={\"video_key\": user_admin_list_data.video.hexkey}\n )\n result = client.get(url)\n assert result.status_code == status.HTTP_403_FORBIDDEN","def test_delete_post_by_another_user(self):\n url = reverse(\n 'post-detail',\n args=[\n self.topic1.url_name,\n self.post1.id\n ]\n )\n self.client.credentials(\n HTTP_AUTHORIZATION = 'Token ' + self.user2.auth_token.key\n )\n response = self.client.delete(url)\n\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)\n deleted_post = Post.objects.filter(\n id=self.post1.id,\n )\n self.assertTrue(deleted_post.exists())","def test_post_update_blog_post_as_anonymous_user(self):\n\n test_blog = Post.objects.get(title=\"test1\")\n url = reverse('blogs:updated', kwargs={'slug': test_blog.slug})\n new_title = \"this is a new title\"\n new_content = \"this is new content by nicholas herriot\"\n new_published_date = \"2017-01-01\"\n data = {'title': new_title, 'slug': test_blog.slug, 'content': new_content, 'publish': new_published_date}\n\n response = self.client.post(url, data)\n\n # After our post has been sent our original slug should still be the same\n new_blog = Post.objects.get(slug=test_blog.slug)\n\n self.assertTrue(new_blog.title, 'test1')\n self.assertTrue(new_blog.content, 'this is content 1')\n\n self.assertEqual(response.status_code, 403)","def test_that_not_logged_in_does_not_shows_edit_button(testapp):\n html = testapp.get('/journal/1').html\n assert not html.find('main').a","def is_disliked_by(self, user):\n return user.disliked_articles.filter(pk=self.pk).exists()","def test_remove_is_staff(self):\n self.user.is_staff = False\n self.user.save()\n self.user.refresh_from_db()\n response = self.client.get(self.get_url())\n self.assertEqual(response.status_code, 403)","def test_remove_is_staff(self):\n self.user.is_staff = False\n self.user.save()\n self.user.refresh_from_db()\n response = self.client.get(self.get_url())\n self.assertEqual(response.status_code, 403)","def test_remove_is_staff(self):\n self.user.is_staff = False\n self.user.save()\n self.user.refresh_from_db()\n response = self.client.get(self.get_url())\n self.assertEqual(response.status_code, 403)","def test_forum_unseeding_on_delete(self):\r\n test_course_data = self.assert_created_course(number_suffix=uuid4().hex)\r\n course_id = _get_course_id(test_course_data)\r\n self.assertTrue(are_permissions_roles_seeded(course_id))\r\n delete_course_and_groups(course_id, commit=True)\r\n # should raise an exception for checking permissions on deleted course\r\n with self.assertRaises(ItemNotFoundError):\r\n are_permissions_roles_seeded(course_id)","def test_can_unban_user_from_community_if_admin(self):\n user = make_user()\n headers = make_authentication_headers_for_user(user)\n\n other_user = make_user()\n community = make_community(creator=other_user, type='P')\n community_name = community.name\n\n user.join_community_with_name(community_name)\n other_user.add_administrator_with_username_to_community_with_name(username=user.username,\n community_name=community.name)\n\n user_to_unban = make_user()\n\n other_user.ban_user_with_username_from_community_with_name(username=user_to_unban.username,\n community_name=community_name)\n\n url = self._get_url(community_name=community.name)\n response = self.client.post(url, {\n 'username': user_to_unban.username\n }, **headers)\n\n self.assertEqual(response.status_code, status.HTTP_200_OK)\n\n self.assertFalse(user_to_unban.is_banned_from_community_with_name(community.name))","def test_logs_user_unbanned(self):\n user = make_user()\n headers = make_authentication_headers_for_user(user)\n\n other_user = make_user()\n community = make_community(creator=other_user, type='P')\n community_name = community.name\n\n user.join_community_with_name(community_name)\n other_user.add_moderator_with_username_to_community_with_name(username=user.username,\n community_name=community.name)\n\n user_to_unban = make_user()\n\n other_user.ban_user_with_username_from_community_with_name(username=user_to_unban.username,\n community_name=community_name)\n\n url = self._get_url(community_name=community.name)\n self.client.post(url, {\n 'username': user_to_unban.username\n }, **headers)\n\n self.assertTrue(community.logs.filter(action_type='U',\n source_user=user,\n target_user=user_to_unban).exists())","def test_delete_non_owner(self):\n another_user = CustomUser.objects.create(id=134, email='another_user2@mail.com', is_active=True)\n another_user.set_password('qwerty12345')\n another_user.save()\n\n self.client.login(email='another_user2@mail.com', password='qwerty12345')\n\n url = reverse('notification',\n kwargs={'way_id': self.notification.way_id, 'notification_id': 87876})\n\n response = self.client.delete(url)\n\n self.assertEqual(response.status_code, 403)","def test_11_admin_user_not_listed_in_search(self):\r\n self.register()\r\n data = {'user': 'john'}\r\n res = self.app.post('/admin/users', data=data, follow_redirects=True)\r\n assert \"Manage Admin Users\" in res.data, res.data\r\n assert \"Current Users with Admin privileges\" not in res.data, res.data\r\n assert \"John\" not in res.data, res.data","def test_remove_invalid(self, affiliate_items_url_factory):\n with mock.patch('chiton.rack.affiliates.bulk.create_affiliate') as create_affiliate:\n affiliate = ValidatingAffiliate()\n affiliate.valid_tlds = ['com', 'org']\n create_affiliate.return_value = affiliate\n\n items = affiliate_items_url_factory(['biz', 'com', 'net', 'org'])\n assert AffiliateItem.objects.count() == 4\n\n assert len(list(prune_affiliate_items(items))) == 4\n assert sorted([i.affiliate_url.split('.')[-1] for i in AffiliateItem.objects.all()]) == ['com', 'org']","def test_not_approved_user(self):\n (_,\n joining_user_id,\n conversation_id,\n _) = self.setup_invites(is_approved=None)\n self.set_session_cookie(joining_user_id, conversation_id)\n self.set_user_cookie(joining_user_id, conversation_id)\n uri = '/status/{}/{}'.format(conversation_id, joining_user_id)\n rsp = self.client.post(uri,\n data={'public_key': '',\n 'last_message_seen_id': 0})\n\n rsp_json = json.loads(rsp.data)\n self.assertFalse(rsp_json['success'])","def is_news_article(self, page):\n title = page.find(self.tag_prefix + self.title_tag).text\n for meta in self.titles_to_exclude:\n if title.startswith(meta):\n logging.info(\"{} No es un articulo. Se ignora\".format(title.encode('utf8')))\n return False\n logging.info(\"{} Es un articulo. Se procesa\".format(title.encode('utf8')))\n return True"],"string":"[\n \"def test_unpublish_button_appears(self):\\n response = self.client.get(reverse('wagtailnews:index', kwargs={\\n 'pk': self.index.pk}))\\n self.assertContains(response, self.url)\",\n \"def test_no_unpublish_button_appears(self):\\n response = self.client.get(reverse('wagtailnews:index', kwargs={\\n 'pk': self.index.pk}))\\n self.assertNotContains(response, self.url)\",\n \"def test_unpublish_as_publisher(self):\\n e = self.make_event()\\n e.published=True\\n e.save()\\n resp = self.request_with_role('/admin/events/unpublish/%s' % e.id, role='publisher',\\n method='POST', follow_redirects=True)\\n self.assertIn('Event unpublished', resp.data)\\n self.assertEqual(resp.status_code, 200)\\n self.assertEqual(Event.objects(published=False).count(), 1)\",\n \"def test_unpublish_as_editor(self):\\n e = self.make_event()\\n e.published=True\\n e.save()\\n resp = self.request_with_role('/admin/events/unpublish/%s' % e.id, role='editor',\\n method='POST')\\n self.assertEqual(resp.status_code, 401)\\n self.assertEqual(Event.objects(published=False).count(), 0)\",\n \"def test_unpublish_event_as_publisher_when_event_does_not_exist(self):\\n e = self.make_event()\\n e.published=True\\n e.save()\\n other_id = ObjectId()\\n resp = self.request_with_role('/admin/events/unpublish/%s' % other_id, role='publisher',\\n method='POST', follow_redirects=True)\\n self.assertIn('Invalid event id', resp.data)\\n self.assertEqual(resp.status_code, 200)\\n self.assertEqual(Event.objects(published=False).count(), 0)\",\n \"def unpublish_item_action(modeladmin, request, queryset):\\n\\n count = queryset.filter(published=True).update(published=False)\\n asset_count = Asset.objects.filter(item__in=queryset, published=True).update(\\n published=False\\n )\\n\\n messages.info(request, f\\\"Unpublished {count} items and {asset_count} assets\\\")\",\n \"def test_chooser_has_perms_no_news(self):\\n response = self.client.get(reverse('wagtailnews:choose'))\\n self.assertEqual(response.status_code, 200)\",\n \"def test_unpopular(self):\\n self.assertFalse(self.user3.is_popular())\\n self.user3.receive_upvotes(randint(101, 10000))\\n self.assertTrue(self.user3.is_popular())\",\n \"def canUnpublish(id, userId):\\n db = core.connect()\\n theShift = db[id]\\n return user.isAdmin(userId) or (userId == theShift['createdBy'])\",\n \"def test_page_list_unauthorised(self):\\n user = self.get_superuser()\\n title_1 = 'page'\\n title_2 = 'inner'\\n title_3 = 'page 3'\\n page = create_page(title_1, 'page.html', 'en', published=True)\\n page_2 = create_page(title_2, 'page.html', 'en', published=True, parent=page)\\n page_3 = create_page(title_3, 'page.html', 'en', published=False)\\n\\n url = reverse('api:page-list')\\n response = self.client.get(url, format='json')\\n self.assertEqual(len(response.data), 2)\\n for page in response.data:\\n self.assertIn(page.get('title'), {title_1, title_2})\",\n \"def unpublish_action(modeladmin, request, queryset):\\n\\n count = queryset.filter(published=True).update(published=False)\\n messages.info(request, f\\\"Unpublished {count} objects\\\")\",\n \"def test_a_user_can_dislike_an_article(self):\\n article = self.create_article()\\n\\n slug = article.data['data']['slug']\\n dislike = self.client.post('/api/articles/{}/dislike/'.format(slug),\\n HTTP_AUTHORIZATION='Bearer ' +\\n self.token,\\n format='json')\\n\\n self.assertEqual(dislike.status_code, 200)\",\n \"def test_news_index_no_perm(self):\\n self.assertStatusCode(self.url, 403)\",\n \"def test_user_can_not_enroll_to_unpublished_project(self):\\n self.client.force_authenticate(self.global_user_1)\\n\\n # Make sure nothing is found - not enrolled.\\n resp = self.client.get(self.api_project_state_not_enrolled_unpublished_url)\\n self.assertEqual(resp.status_code, 404)\\n\\n #NOTE: Allowed!\\n # # POST and make sure the user is enrolled\\n # resp = self.client.post(self.api_project_state_not_enrolled_unpublished_url)\\n # self.assertEqual(resp.status_code, 403)\\n # resp = self.client.get(self.api_project_state_not_enrolled_unpublished_url)\\n # self.assertEqual(resp.status_code, 404)\",\n \"def test_an_unauthenticated_user_cannot_dislike_article(self):\\n article = self.create_article()\\n\\n slug = article.data['data']['slug']\\n dislike = self.client.post('/api/articles/{}/dislike/'.format(slug),\\n format='json')\\n\\n self.assertEqual(\\n dislike.data['detail'], \\\"Authentication credentials were not provided.\\\")\\n self.assertEqual(dislike.status_code, 401)\",\n \"def test_user_can_change_not_author(self):\\n self.assertFalse(self.story.user_can_change(self.user2))\",\n \"def test_post_creation_unauthorized(self):\\n url = reverse('post-list')\\n user_url = reverse('user-detail', kwargs={'pk': self.superuser.id})\\n title = 'Test Title'\\n body = 'Test Body'\\n response = self.client.post(url, {'title': title, 'body': body, 'user': user_url}, format='json')\\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)\",\n \"def test_get_reusableitem_api_not_public(self):\\n\\n # user not logged in\\n self.client.logout()\\n\\n response = self.client.get(get_reusable_item_1_url(self))\\n\\n self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)\\n\\n # user logged in and created the Reusable Item\\n self.client.force_authenticate(user=self.user_1)\\n\\n response = self.client.get(get_reusable_item_1_url(self))\\n\\n self.assertEqual(response.status_code, status.HTTP_200_OK)\\n\\n # user logged in and did not create the Reusable Item\\n self.client.logout()\\n self.client.force_authenticate(user=self.user_2)\\n\\n response = self.client.get(get_reusable_item_1_url(self))\\n\\n self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)\",\n \"def test_unlike_mission(self):\\n\\n self.mission.likes = {0, self.user2.id}\\n db.session.commit()\\n mission = Mission.query.get(self.mission.id)\\n # make sure like is there in mission.likes.\\n self.assertEqual(mission.likes, {0, self.user2.id})\\n\\n with self.client as c:\\n with c.session_transaction() as sess:\\n sess['user_id'] = self.user2.id\\n\\n resp = c.post(f'/v1/mission/like{self.mission.id}')\\n\\n self.assertEqual(resp.json['success'], 'removed')\\n mission = Mission.query.get(self.mission.id)\\n self.assertEqual(mission.likes, {0})\",\n \"def test_unauthenticated_user_disliking(self):\\n self.like_dislike(self.like_url(6))\",\n \"def test_post_creation_unauthenticated(self):\\n url = reverse('post-list', args=[self.topic1.url_name])\\n payload = {\\n 'author': self.user1.id,\\n 'title': 'Creating a post while being unauthenticated',\\n 'content': 'Rich content 5',\\n }\\n response = self.client.post(url, payload)\\n\\n self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)\\n new_post = Post.objects.filter(\\n author=self.user1,\\n title=payload.get('title'),\\n content=payload.get('content'),\\n topic=self.topic1\\n )\\n self.assertFalse(new_post.exists())\",\n \"def test_user_without_share(self):\\n set_permission(Permission.EDIT, self.user1, self.collection)\\n\\n # Can not add permissions to users.\\n data = {\\\"users\\\": {self.user2.pk: \\\"view\\\"}}\\n resp = self._detail_permissions(self.collection.pk, data, self.user1)\\n self.assertEqual(resp.status_code, status.HTTP_403_FORBIDDEN)\\n\\n # Can not add permissions to groups.\\n data = {\\\"users\\\": {self.group.pk: \\\"view\\\"}}\\n resp = self._detail_permissions(self.collection.pk, data, self.user1)\\n self.assertEqual(resp.status_code, status.HTTP_403_FORBIDDEN)\",\n \"def test_no_delete_button_appears_edit(self):\\n response = self.client.get(reverse('wagtailnews:edit', kwargs={\\n 'pk': self.index.pk, 'newsitem_pk': self.newsitem.pk}))\\n self.assertNotContains(response, self.url)\",\n \"def test_user_can_not_enroll_to_unpublished_lesson(self):\\n self.client.force_authenticate(self.global_user_1)\\n\\n # Make the unpublished project owned by the authenticated user:\\n self.project_unpublished.owner = self.global_user_1\\n self.project_unpublished.save()\\n\\n # Make sure nothing is found - not enrolled.\\n resp = self.client.get(self.api_lesson_state_not_enrolled_unpublished_url)\\n self.assertEqual(resp.status_code, 404)\\n\\n #NOTE: Allowed!\\n # # POST and make sure the user is enrolled\\n # resp = self.client.post(self.api_lesson_state_not_enrolled_unpublished_url)\\n # self.assertEqual(resp.status_code, 403)\\n # resp = self.client.get(self.api_lesson_state_not_enrolled_unpublished_url)\\n # self.assertEqual(resp.status_code, 404)\\n\\n # Other user (that do not have access to the project)\\n\\n # Make the unpublished project owned by a user that is not child or delegator of the authenticated user:\\n new_owner = get_user_model().objects.exclude(\\n Q(pk=self.global_user_1.pk) |\\n Q(pk__in=self.global_user_1.delegators.all()) |\\n Q(pk__in=self.global_user_1.children.all())\\n )[0]\\n self.project_unpublished.owner = new_owner\\n self.project_unpublished.save()\\n\\n # Make sure nothing is found - not enrolled.\\n resp = self.client.get(self.api_lesson_state_not_enrolled_unpublished_url)\\n self.assertEqual(resp.status_code, 404)\\n\\n # POST and make sure the user is enrolled\\n resp = self.client.post(self.api_lesson_state_not_enrolled_unpublished_url)\\n self.assertEqual(resp.status_code, 404)\\n resp = self.client.get(self.api_lesson_state_not_enrolled_unpublished_url)\\n self.assertEqual(resp.status_code, 404)\",\n \"def test_unlike_topic_viewset(self):\\n\\n topic = TopicFactory(author=self.user)\\n self.client.post(reverse('api:topics-like', kwargs={'topic_id': topic.id}))\\n response = self.client.post(reverse('api:topics-unlike', kwargs={'topic_id': topic.id}))\\n self.assertEqual(response.status_code, status.HTTP_200_OK)\\n obj_type = ContentType.objects.get_for_model(topic)\\n likes = Like.objects.filter(\\n content_type=obj_type, object_id=topic.id, user=self.user)\\n self.assertFalse(likes.exists())\",\n \"def test_update_by_non_owner(self):\\n # User 1\\n saved1 = self.create_article()\\n article_url = saved1[0]\\n # get user2 details\\n token = self.create_article_user2()\\n response = self.test_client.put(article_url,self.article_update_data, format='json', HTTP_AUTHORIZATION=token)\\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)\",\n \"def test_no_edit_button_appears(self):\\n response = self.client.get(reverse('wagtailnews:index', kwargs={\\n 'pk': self.index.pk}))\\n self.assertNotContains(response, self.url)\",\n \"def test_get_reusableitem_api_public(self):\\n\\n self.reusableitem_1.is_public = True\\n self.reusableitem_1.save()\\n\\n self.client.logout()\\n\\n\\n response = self.client.get(get_reusable_item_1_url(self))\\n\\n self.assertEqual(response.status_code, status.HTTP_200_OK)\",\n \"def test_unshelve(self, *_):\\n with patch(\\\"bookwyrm.models.activitypub_mixin.broadcast_task.delay\\\"):\\n models.ShelfBook.objects.create(\\n book=self.book, user=self.local_user, shelf=self.shelf\\n )\\n item = models.ShelfBook.objects.get()\\n\\n self.shelf.save()\\n self.assertEqual(self.shelf.books.count(), 1)\\n request = self.factory.post(\\\"\\\", {\\\"book\\\": self.book.id, \\\"shelf\\\": self.shelf.id})\\n request.user = self.local_user\\n with patch(\\\"bookwyrm.models.activitypub_mixin.broadcast_task.delay\\\") as mock:\\n views.unshelve(request)\\n activity = json.loads(mock.call_args[0][1])\\n self.assertEqual(activity[\\\"type\\\"], \\\"Remove\\\")\\n self.assertEqual(activity[\\\"object\\\"][\\\"id\\\"], item.remote_id)\\n self.assertEqual(self.shelf.books.count(), 0)\",\n \"def test_topic_notification_list_dont_show_topic_removed_or_no_access(self):\\n TopicNotification.objects.all().delete()\\n\\n category = utils.create_category()\\n category_removed = utils.create_category(is_removed=True)\\n subcategory = utils.create_category(parent=category_removed)\\n subcategory_removed = utils.create_category(\\n parent=category, is_removed=True)\\n topic_a = utils.create_private_topic()\\n topic_b = utils.create_topic(category=category, is_removed=True)\\n topic_c = utils.create_topic(category=category_removed)\\n topic_d = utils.create_topic(category=subcategory)\\n topic_e = utils.create_topic(category=subcategory_removed)\\n TopicNotification.objects.create(\\n user=self.user, topic=topic_a.topic,\\n comment=self.comment, is_active=True, action=COMMENT)\\n TopicNotification.objects.create(\\n user=self.user, topic=topic_b,\\n comment=self.comment, is_active=True, action=COMMENT)\\n TopicNotification.objects.create(\\n user=self.user, topic=topic_c,\\n comment=self.comment, is_active=True, action=COMMENT)\\n TopicNotification.objects.create(\\n user=self.user, topic=topic_d,\\n comment=self.comment, is_active=True, action=COMMENT)\\n TopicNotification.objects.create(\\n user=self.user, topic=topic_e,\\n comment=self.comment, is_active=True, action=COMMENT)\\n self.assertEqual(\\n len(TopicNotification.objects.filter(\\n user=self.user, is_active=True, is_read=False)),\\n 5)\\n\\n utils.login(self)\\n response = self.client.get(reverse('spirit:topic:notification:index'))\\n self.assertEqual(list(response.context['notifications']), [])\\n\\n # list unread should behave the same\\n response = self.client.get(\\n reverse('spirit:topic:notification:index-unread'))\\n self.assertEqual(list(response.context['page']), [])\\n\\n # ajax list should behave the same\\n response = self.client.get(\\n reverse('spirit:topic:notification:index-ajax'),\\n HTTP_X_REQUESTED_WITH='XMLHttpRequest')\\n res = json.loads(response.content.decode('utf-8'))\\n self.assertEqual(len(res['n']), 0)\",\n \"def test_subscriptions_anonymous(self):\\n self.go200('forum_index')\\n self.notfind('Оновити підписки')\\n self.go200('forum_subscriptions')\\n self.url(self.build_url('auth_login')+'.*')\",\n \"def test_get_post_list_logged_out(self):\\n url = reverse('post-list')\\n response = self.client.get(url)\\n self.assertEqual(response.status_code, status.HTTP_200_OK)\",\n \"def test_post_list_unauthorized(self):\\n self.assertHttpUnauthorized(self.api_client.post('/api/0.1/stories/', format='json'))\",\n \"def test_a_user_can_delete_dislike(self):\\n article = self.create_article()\\n\\n slug = article.data['data']['slug']\\n self.client.post('/api/articles/{}/dislike/'.format(slug),\\n HTTP_AUTHORIZATION='Bearer ' +\\n self.token,\\n format='json')\\n dislike = self.client.post('/api/articles/{}/dislike/'.format(slug),\\n HTTP_AUTHORIZATION='Bearer ' +\\n self.token,\\n format='json')\\n\\n self.assertEqual(dislike.status_code, 200)\",\n \"def test_get_update_blog_post_anonymous_user(self):\\n\\n test_blog = Post.objects.get(title=\\\"test1\\\")\\n url = reverse('blogs:updated', kwargs={'slug': test_blog.slug})\\n response = self.client.get(url)\\n\\n self.assertEqual(response.status_code, 403)\",\n \"def test_post_update_unauthorized(self):\\n url = reverse('post-detail', kwargs={'pk': self.post.id})\\n user_url = reverse('user-detail', kwargs={'pk': self.superuser.id})\\n title = 'Random New Title'\\n body = 'Random New Body'\\n response = self.client.put(url, {'title': title, 'body': body, 'user': user_url}, format='json')\\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)\",\n \"def test_getting_of_an_escalated_article_with_users(self):\\n token = self.user1.token()\\n self.client.credentials(\\n HTTP_AUTHORIZATION='Bearer ' + token)\\n resp = self.get_article()\\n self.assertEqual(resp.status_code, status.HTTP_403_FORBIDDEN)\\n self.assertEqual(resp.data[\\\"error\\\"], self.get_admin)\",\n \"def test_unlisted_addon(self):\\n addon = Addon.objects.get(pk=3615)\\n self.make_addon_unlisted(addon)\\n\\n up = self.get(self.good_data)\\n assert up.is_valid()\",\n \"def test_unlike_activity(self):\\n from .mockers import user_status_context\\n from .mockers import subscribe_context, create_context\\n username = 'messi'\\n username_not_me = 'xavi'\\n self.create_user(username)\\n self.create_user(username_not_me)\\n self.create_context(create_context)\\n self.admin_subscribe_user_to_context(username, subscribe_context)\\n self.admin_subscribe_user_to_context(username_not_me, subscribe_context)\\n res = self.create_activity(username, user_status_context)\\n activity_id = res.json['id']\\n self.testapp.post('/activities/%s/likes' % activity_id, '', oauth2Header(username_not_me), status=201)\\n self.testapp.delete('/activities/%s/likes/%s' % (activity_id, username_not_me), '', oauth2Header(username_not_me), status=204)\\n activity = self.testapp.get('/activities/%s' % activity_id, '', oauth2Header(username), status=200)\\n\\n self.assertEqual(activity.json['likes'], [])\\n self.assertEqual(activity.json['liked'], False)\\n self.assertEqual(activity.json['likesCount'], 0)\",\n \"def test_unauthorized_user_like_field(self):\\n response = self.client.get(reverse('lessons-detail', args=(1,)))\\n self.assertEqual(response.status_code, status.HTTP_200_OK)\\n self.assertNotIn('like', response.data)\",\n \"def test_published_story_must_be_visible_for_everyone_but_blocked(self):\\n self.assertEqual(self.ps.is_visible_for(self.au), True)\\n\\n \\\"\\\"\\\" Published story must be visible for another.\\\"\\\"\\\"\\n self.assertEqual(self.ps.is_visible_for(self.u2), True)\\n\\n \\\"\\\"\\\" Publsihed story must be visible for owner. \\\"\\\"\\\"\\n self.assertEqual(self.ps.is_visible_for(self.u1), True)\\n\\n \\\"\\\"\\\" Draft story must not be visible for a blocked user. \\\"\\\"\\\"\\n self.assertEqual(self.ds.is_visible_for(self.u3), False)\",\n \"def test_limit_items(self):\\n AnnouncementFactory(\\n title=\\\"Not going to be there\\\",\\n expires_at=timezone.now() - datetime.timedelta(days=1),\\n )\\n for i in range(5):\\n AnnouncementFactory()\\n\\n response = self.get(\\\"announcements:feed\\\")\\n\\n assert \\\"Not going to be there\\\" not in response.content.decode()\",\n \"def test_guests_can_not_post_message(self):\\n url = reverse('posts-list')\\n data = {'title': 'some title', 'body': 'somebody :P'}\\n response = self.client.post(url, data, format='json')\\n self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)\",\n \"def test_not_logged_in(self):\\n\\n # test show album\\n self.perm_escalate_helper(self.albumcontrol, self.showalbumrequest, self.testalbum, self.testalbum.id,\\n AnonymousUser(), album.display_album, ALBUM_PUBLIC)\\n\\n # test photo view\\n self.perm_escalate_helper_get_with_client(self.albumcontrol, self.testalbum, self.photo.id,\\n \\\"photoid\\\", \\\"show_photo\\\", ALBUM_PUBLIC)\\n\\n # test individual photo view page\\n self.perm_escalate_helper(self.albumcontrol, self.indivphotorequest, self.testalbum, self.photo.id,\\n AnonymousUser(), album.display_photo, ALBUM_PUBLIC)\",\n \"def test_unauthenticated_user_liking(self):\\n self.like_dislike(self.dislike_url(5))\",\n \"def test_delete_of_an_escalated_article_with_user(self):\\n token = self.user1.token()\\n self.client.credentials(\\n HTTP_AUTHORIZATION='Bearer ' + token)\\n resp = self.delete_article()\\n self.assertEqual(resp.status_code, status.HTTP_403_FORBIDDEN)\\n self.assertEqual(resp.data[\\\"error\\\"], self.user_delete)\",\n \"def test_default_publish(self):\\n self.assertIs(self.photo.published, 'Public')\",\n \"def test_post_no_permission(self):\\n self.user.user_permissions.clear()\\n response = self._post()\\n self.assertRedirectsToLogin(response)\\n self.assertEquals(self.model.objects.count(), 0)\",\n \"def test_post_no_permission(self):\\n self.user.user_permissions.clear()\\n response = self._post()\\n self.assertRedirectsToLogin(response)\\n self.assertEquals(self.model.objects.count(), 1)\",\n \"def test_no_inactive_users(self):\\n u = UserFactory(is_active=False)\\n\\n q = Question(title=\\\"Test Question\\\", content=\\\"Lorem Ipsum Dolor\\\", creator_id=u.id)\\n q.save()\\n assert q.id not in [x.id for x in QuestionsFeed().items({})]\",\n \"def test_no_add_button_appears(self):\\n response = self.client.get(reverse('wagtailnews:index', kwargs={\\n 'pk': self.index.pk}))\\n self.assertNotContains(response, self.url)\",\n \"def test_user_can_change_inactive(self):\\n self.assertTrue(self.story.user_can_change(self.user1))\\n self.user1.is_active = False \\n self.assertFalse(self.story.user_can_change(self.user1))\",\n \"def test_successfult_post_deletion(self):\\n self.user.is_moderator = True\\n self.user.save()\\n response = self.client.delete(reverse('api:posts-detail', kwargs={'pk': self.post1.id}))\\n self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)\\n self.assertEqual(Post.objects.count(), 1)\",\n \"def test_unauthenticated(self):\\n self.logout_user()\\n\\n response = self.client.get(self.api_link)\\n self.assertContains(response, \\\"sign in to use private threads\\\", status_code=403)\",\n \"def test_recentactions_without_content_type(self):\\n response = self.client.get(reverse(\\\"admin:index\\\"))\\n link = reverse(\\\"admin:admin_utils_article_change\\\", args=(quote(self.a1.pk),))\\n should_contain = \\\"\\\"\\\"<a href=\\\"%s\\\">%s</a>\\\"\\\"\\\" % (\\n escape(link),\\n escape(repr(self.a1)),\\n )\\n self.assertContains(response, should_contain)\\n should_contain = \\\"Article\\\"\\n self.assertContains(response, should_contain)\\n logentry = LogEntry.objects.get(content_type__model__iexact=\\\"article\\\")\\n # If the log entry doesn't have a content type it should still be\\n # possible to view the Recent Actions part (#10275).\\n logentry.content_type = None\\n logentry.save()\\n\\n should_contain = should_contain.encode()\\n counted_presence_before = response.content.count(should_contain)\\n response = self.client.get(reverse(\\\"admin:index\\\"))\\n counted_presence_after = response.content.count(should_contain)\\n self.assertEqual(counted_presence_before - 1, counted_presence_after)\",\n \"def test_should_render_with_unpublished(self) -> None:\\n self.assertFalse(self.action.should_render(\\n context=self._create_request_context(public=False)))\",\n \"def test_should_render_user_with_can_change_status_and_unpublished(\\n self,\\n ) -> None:\\n self.assertFalse(self.action.should_render(\\n context=self._create_request_context(\\n can_change_status=True,\\n public=False,\\n user=self.create_user())))\",\n \"def test_topic_notification_has_notifications_dont_count_topic_removed_or_no_access(self):\\n TopicNotification.objects.all().delete()\\n\\n category = utils.create_category()\\n category_removed = utils.create_category(is_removed=True)\\n subcategory = utils.create_category(parent=category_removed)\\n subcategory_removed = utils.create_category(\\n parent=category, is_removed=True)\\n topic_a = utils.create_private_topic()\\n topic_b = utils.create_topic(category=category, is_removed=True)\\n topic_c = utils.create_topic(category=category_removed)\\n topic_d = utils.create_topic(category=subcategory)\\n topic_e = utils.create_topic(category=subcategory_removed)\\n TopicNotification.objects.create(\\n user=self.user, topic=topic_a.topic,\\n comment=self.comment, is_active=True, action=COMMENT)\\n TopicNotification.objects.create(\\n user=self.user, topic=topic_b,\\n comment=self.comment, is_active=True, action=COMMENT)\\n TopicNotification.objects.create(\\n user=self.user, topic=topic_c,\\n comment=self.comment, is_active=True, action=COMMENT)\\n TopicNotification.objects.create(\\n user=self.user, topic=topic_d,\\n comment=self.comment, is_active=True, action=COMMENT)\\n TopicNotification.objects.create(\\n user=self.user, topic=topic_e,\\n comment=self.comment, is_active=True, action=COMMENT)\\n\\n self.assertEqual(\\n len(TopicNotification.objects.filter(\\n user=self.user, is_active=True, is_read=False)),\\n 5)\\n self.assertFalse(has_topic_notifications(self.user))\",\n \"def test_save_unwatched_episodes(self):\\n save_episodes(self.schedule.episodes)\\n for show in FollowedShows.objects.filter(user_id=self.user.id):\\n self.assertTrue(show.unwatchedepisode_set.all().count() > 0)\",\n \"def test_public_status_page_remove_authorization_from_public_status_page(self):\\n pass\",\n \"def test_alice_unread(self):\\n messages = list(self.alice_storage.unread)\\n self.assertEqual(1, len(messages))\\n self.assertIn(self.bob_message_to_group1, messages)\\n self.assertNotIn(self.read_message, messages)\\n self.assertNotIn(self.alice_message_to_bob, messages)\\n self.assertNotIn(self.archived_message, messages)\",\n \"def test_post_delete_post_as_anonymous_user(self):\\n last_post = Post.objects.get(title=\\\"test3\\\")\\n url = reverse('blogs:delete', kwargs={'slug': last_post.slug})\\n response = self.client.get(url)\\n\\n # There should still be a blog post with this title. Hence we should still be able to find the blog post\\n check_post = Post.objects.get(slug=last_post.slug)\\n self.assertEqual(check_post.title, last_post.title)\\n self.assertEqual(check_post.content, last_post.content)\\n self.assertEqual(check_post.pk, last_post.pk)\\n self.assertEqual(response.status_code, 403)\",\n \"def test_destroy_not_owner(self):\\n\\n self.assertEqual(first=1, second=Post.objects.all().count())\\n url = reverse('post-detail', args=(self.post.id,))\\n self.client.credentials(HTTP_AUTHORIZATION=self.token_1)\\n response = self.client.delete(path=url)\\n self.assertEqual(first=403, second=response.status_code)\\n self.assertEqual(first=1, second=Post.objects.all().count())\",\n \"def test_news_index_has_perm(self):\\n self.assertStatusCode(self.url, 200)\",\n \"def test_an_unauthenticated_user_cannot_like_article(self):\\n article = self.create_article()\\n\\n slug = article.data['data']['slug']\\n like = self.client.post('/api/articles/{}/like/'.format(slug),\\n format='json')\\n\\n self.assertEqual(\\n like.data['detail'], \\\"Authentication credentials were not provided.\\\")\\n self.assertEqual(like.status_code, 401)\",\n \"def test_post_no_permission(self):\\n self.user.user_permissions.clear()\\n response = self._post()\\n self.assertRedirectsToLogin(response)\\n self._assert_no_change()\",\n \"def test_create_reusableitem_not_verified(self):\\n\\n email_address = EmailAddress.objects.get(user_id=self.user_1.id)\\n email_address.verified = False\\n email_address.save()\\n\\n self.client.force_authenticate(user=self.user_1)\\n\\n toptenitems = self.toptenlist_1.topTenItem.all()\\n toptenitem_1_id = toptenitems[0].id\\n\\n response = create_reusable_item_1(self, toptenitem_1_id, **reusableitem_1_data)\\n\\n # the user can see the Top Ten Item because they created it\\n # but cannot change it because their email address is not verified\\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)\",\n \"def test_alice_unread(self):\\n messages = list(self.alice_inbox.unread)\\n self.assertEqual(1, len(messages))\\n self.assertIn(self.bob_message_to_group1, messages)\\n self.assertNotIn(self.read_message, messages)\\n self.assertNotIn(self.alice_message_to_bob, messages)\\n self.assertNotIn(self.archived_message, messages)\",\n \"def unpublish(id):\\n db = core.connect()\\n theShift = db[id]\\n theShift[\\\"publishData\\\"][\\\"draft\\\"] = True\\n db[id] = theShift\",\n \"def test_unsubscribe_offer(self):\\n pass\",\n \"def test_can_not_add_more(self):\\n set_up_one_user(self, 1, 0)\\n login = self.client.login(username='test', password='2HJ1vRV0Z&3iD')\\n response = self.client.get(reverse('index'))\\n self.assertEqual(response.status_code, 200)\\n self.assertContains(response, '<button id=\\\"modalButton\\\" type=\\\"button\\\" class=\\\"btn btn-info\\\" data-toggle=\\\"modal\\\" data-target=\\\"#myModal\\\" disabled=\\\"True\\\">Add new notification</button>')\",\n \"def test_unauthorized_update_article(self):\\n response = self.client.put(\\n reverse(\\n \\\"article\\\",\\n kwargs={\\n \\\"slug\\\": self.stored_articles[0].slug\\n }),\\n self.article_data,\\n content_type='application/json',\\n )\\n\\n self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)\",\n \"def test_modify_reusableitem_not_authenticated(self):\\n self.client.logout()\\n \\n response = self.client.patch(get_reusable_item_1_url(self), {}, format='json')\\n\\n self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)\",\n \"def test_make_reusableitem_public_not_owner(self):\\n\\n # ensure is_public is false to start with\\n original_reusableitem = ReusableItem.objects.get(pk=self.reusableitem_1.id)\\n original_reusableitem.is_public = False\\n original_reusableitem.save()\\n\\n self.client.force_authenticate(user=self.user_2)\\n\\n response = self.client.patch(get_reusable_item_1_url(self), {'is_public': True}, format='json')\\n\\n # the request should fail\\n self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)\",\n \"def test_clear_menu_by_regular_user(self):\\n\\n\\t\\tres = self.login_user()\\n\\t\\tress = self.login_admin_user()\\n\\t\\taccess_token = json.loads(res.data.decode())['access_token']\\n\\t\\ta_access_token = json.loads(ress.data.decode())['access_token']\\n\\n\\t\\tresponse = self.client().post(\\n\\t\\t\\t'/api/v2/meals', \\n\\t\\t\\t\\theaders={\\\"x-access-token\\\": a_access_token},\\n\\t\\t\\t\\tdata = json.dumps(\\n\\t\\t\\t\\tself.meal_data) , content_type = 'application/json')\\n\\t\\tself.assertEqual(response.status_code, 201)\\n\\n\\t\\tresponse = self.client().post('/api/v2/menu/1',\\n\\t\\t\\theaders={\\\"x-access-token\\\": a_access_token},\\n\\t\\t\\tdata = json.dumps(\\n\\t\\t\\t\\tself.meal_data), content_type = 'application/json')\\n\\t\\tself.assertEqual(response.status_code, 200)\\n\\n\\t\\tresults = self.client().delete('/api/v2/menu',\\n\\t\\t\\theaders={\\\"x-access-token\\\": access_token})\\n\\t\\tresponse = json.loads(results.data)\\n\\t\\tself.assertEqual(results.status_code, 401)\\n\\t\\tself.assertEqual(response[\\\"message\\\"], \\n\\t\\t\\t\\\"Not authorized to perform this function!\\\")\",\n \"def test_create_reusableitem_not_authenticated(self):\\n\\n self.client.logout()\\n\\n toptenitems = self.toptenlist_1.topTenItem.all()\\n toptenitem_1_id = toptenitems[0].id\\n\\n response = create_reusable_item_1(self, toptenitem_1_id, **reusableitem_1_data)\\n\\n # the request should fail\\n self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)\",\n \"def test_sort_saved_articles_DELETE_2(self):\\r\\n\\r\\n u1 = User.query.filter_by(username='testuser').one()\\r\\n\\r\\n with self.client as c:\\r\\n with c.session_transaction() as sess:\\r\\n sess[CURR_USER_KEY] = u1.id\\r\\n response = c.delete(f'/users/{u1.username}/saved-articles',\\r\\n data=f'path=_news%2F2020-04-26-test-article.md', follow_redirects=True)\\r\\n self.assertEqual(response.status_code, 200)\",\n \"def test_valid_update_post_form_with_unpublish_article(\\n self, proto_post, proto_user\\n ):\\n testfile = (\\n b\\\"\\\\x47\\\\x49\\\\x46\\\\x38\\\\x39\\\\x61\\\\x01\\\\x00\\\\x01\\\\x00\\\\x00\\\\x00\\\\x00\\\\x21\\\\xf9\\\\x04\\\"\\n b\\\"\\\\x01\\\\x0a\\\\x00\\\\x01\\\\x00\\\\x2c\\\\x00\\\\x00\\\\x00\\\\x00\\\\x01\\\\x00\\\\x01\\\\x00\\\\x00\\\\x02\\\"\\n b\\\"\\\\x02\\\\x4c\\\\x01\\\\x00\\\\x3b\\\"\\n )\\n data = {\\n \\\"title\\\": \\\"This is the modified title\\\",\\n \\\"categories\\\": [36, 37],\\n \\\"overview\\\": \\\"This is the modified overview\\\",\\n \\\"content\\\": \\\"This is the modified content\\\",\\n \\\"featured\\\": True,\\n \\\"status\\\": 0,\\n }\\n form = EditForm(\\n data,\\n {\\n \\\"thumbnail\\\": SimpleUploadedFile(\\n \\\"small.gif\\\",\\n testfile,\\n content_type=\\\"image/gif\\\",\\n )\\n },\\n )\\n assert form.is_valid()\",\n \"def test_not_approved_user(self):\\n (_,\\n joining_user_id,\\n conversation_id,\\n _) = self.setup_invites(is_approved=False)\\n self.set_session_cookie(joining_user_id, conversation_id)\\n self.set_user_cookie(joining_user_id, conversation_id)\\n uri = '/status/{}/{}'.format(conversation_id, joining_user_id)\\n rsp = self.client.post(uri,\\n data={'public_key': '',\\n 'last_message_seen_id': 0})\\n\\n rsp_json = json.loads(rsp.data)\\n self.assertFalse(rsp_json['success'])\",\n \"def test_project_user_membership_unauthorised_status(self):\\n unauthorised_states = [\\n ProjectUserMembership.REVOKED,\\n ProjectUserMembership.SUSPENDED,\\n ProjectUserMembership.DECLINED,\\n ]\\n for status in unauthorised_states:\\n self.membership.status = status\\n self.assertTrue(self.membership.unauthorised())\",\n \"def test_get_deletable_mark_for_own_activity(self):\\n from .mockers import user_status as activity\\n username = 'messi'\\n self.create_user(username)\\n res = self.testapp.post('/people/%s/activities' % username, json.dumps(activity), oauth2Header(username), status=201)\\n res = self.testapp.get('/activities/%s' % res.json['id'], '', oauth2Header(username), status=200)\\n self.assertEqual(res.json['deletable'], True)\",\n \"def test_put_detail_unauthorized(self):\\n author = User.objects.create_user(\\\"test2\\\", \\\"test2@example.com\\\", \\\"test2\\\")\\n story = create_story(title=\\\"Test Story\\\", summary=\\\"Test Summary\\\",\\n byline=\\\"Test Byline\\\", status='published',\\n author=author)\\n self.api_client.client.login(username=self.username, password=self.password)\\n post_data = {\\n 'title': \\\"New Title\\\",\\n 'summary': \\\"New Summary\\\",\\n 'byline': \\\"New Byline\\\",\\n 'status': \\\"published\\\",\\n }\\n response = self.api_client.put('/api/0.1/stories/%s/' % (story.story_id),\\n format='json', data=post_data)\\n self.assertHttpUnauthorized(response)\",\n \"def test_sort_saved_articles_DELETE(self):\\r\\n\\r\\n with self.client:\\r\\n u = User.query.first()\\r\\n response = self.client.delete(\\r\\n f'/users/${u.username}/saved-articles', follow_redirects=True)\\r\\n self.assertIn(b'Unauthorized.', response.data)\\r\\n self.assertEqual(response.status_code, 200)\",\n \"def test_chooser_no_perms(self):\\n root_page = Page.objects.get(pk=2)\\n root_page.add_child(instance=NewsIndex(\\n title='News', slug='news'))\\n root_page.add_child(instance=SecondaryNewsIndex(\\n title='Secondary News', slug='secondary-news'))\\n\\n response = self.client.get(reverse('wagtailnews:choose'))\\n self.assertEqual(response.status_code, 403)\",\n \"def test_remove_yield(self, affiliate_items_url_factory, affiliate_network_factory):\\n network = affiliate_network_factory(name='Network')\\n\\n with mock.patch('chiton.rack.affiliates.bulk.create_affiliate') as create_affiliate:\\n affiliate = ValidatingAffiliate()\\n affiliate.valid_tlds = ['com', 'org']\\n create_affiliate.return_value = affiliate\\n\\n items = affiliate_items_url_factory(['biz', 'com', 'net', 'org'])\\n for index, item in enumerate(items):\\n item.name = 'Item %d' % (index + 1)\\n item.network = network\\n item.save()\\n\\n assert AffiliateItem.objects.count() == 4\\n\\n pruned = []\\n for item_name, network_name, was_pruned in prune_affiliate_items(items.order_by('name')):\\n pruned.append([item_name, network_name, was_pruned])\\n\\n assert pruned[0] == ['Item 1', 'Network', True]\\n assert pruned[1] == ['Item 2', 'Network', False]\\n assert pruned[2] == ['Item 3', 'Network', True]\\n assert pruned[3] == ['Item 4', 'Network', False]\",\n \"def test_video_detail_no_permission(\\n mock_user_moira_lists, logged_in_apiclient, user_admin_list_data\\n):\\n client, _ = logged_in_apiclient\\n mock_user_moira_lists.return_value = {\\\"some_other_list\\\"}\\n url = reverse(\\n \\\"video-detail\\\", kwargs={\\\"video_key\\\": user_admin_list_data.video.hexkey}\\n )\\n result = client.get(url)\\n assert result.status_code == status.HTTP_403_FORBIDDEN\",\n \"def test_delete_post_by_another_user(self):\\n url = reverse(\\n 'post-detail',\\n args=[\\n self.topic1.url_name,\\n self.post1.id\\n ]\\n )\\n self.client.credentials(\\n HTTP_AUTHORIZATION = 'Token ' + self.user2.auth_token.key\\n )\\n response = self.client.delete(url)\\n\\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)\\n deleted_post = Post.objects.filter(\\n id=self.post1.id,\\n )\\n self.assertTrue(deleted_post.exists())\",\n \"def test_post_update_blog_post_as_anonymous_user(self):\\n\\n test_blog = Post.objects.get(title=\\\"test1\\\")\\n url = reverse('blogs:updated', kwargs={'slug': test_blog.slug})\\n new_title = \\\"this is a new title\\\"\\n new_content = \\\"this is new content by nicholas herriot\\\"\\n new_published_date = \\\"2017-01-01\\\"\\n data = {'title': new_title, 'slug': test_blog.slug, 'content': new_content, 'publish': new_published_date}\\n\\n response = self.client.post(url, data)\\n\\n # After our post has been sent our original slug should still be the same\\n new_blog = Post.objects.get(slug=test_blog.slug)\\n\\n self.assertTrue(new_blog.title, 'test1')\\n self.assertTrue(new_blog.content, 'this is content 1')\\n\\n self.assertEqual(response.status_code, 403)\",\n \"def test_that_not_logged_in_does_not_shows_edit_button(testapp):\\n html = testapp.get('/journal/1').html\\n assert not html.find('main').a\",\n \"def is_disliked_by(self, user):\\n return user.disliked_articles.filter(pk=self.pk).exists()\",\n \"def test_remove_is_staff(self):\\n self.user.is_staff = False\\n self.user.save()\\n self.user.refresh_from_db()\\n response = self.client.get(self.get_url())\\n self.assertEqual(response.status_code, 403)\",\n \"def test_remove_is_staff(self):\\n self.user.is_staff = False\\n self.user.save()\\n self.user.refresh_from_db()\\n response = self.client.get(self.get_url())\\n self.assertEqual(response.status_code, 403)\",\n \"def test_remove_is_staff(self):\\n self.user.is_staff = False\\n self.user.save()\\n self.user.refresh_from_db()\\n response = self.client.get(self.get_url())\\n self.assertEqual(response.status_code, 403)\",\n \"def test_forum_unseeding_on_delete(self):\\r\\n test_course_data = self.assert_created_course(number_suffix=uuid4().hex)\\r\\n course_id = _get_course_id(test_course_data)\\r\\n self.assertTrue(are_permissions_roles_seeded(course_id))\\r\\n delete_course_and_groups(course_id, commit=True)\\r\\n # should raise an exception for checking permissions on deleted course\\r\\n with self.assertRaises(ItemNotFoundError):\\r\\n are_permissions_roles_seeded(course_id)\",\n \"def test_can_unban_user_from_community_if_admin(self):\\n user = make_user()\\n headers = make_authentication_headers_for_user(user)\\n\\n other_user = make_user()\\n community = make_community(creator=other_user, type='P')\\n community_name = community.name\\n\\n user.join_community_with_name(community_name)\\n other_user.add_administrator_with_username_to_community_with_name(username=user.username,\\n community_name=community.name)\\n\\n user_to_unban = make_user()\\n\\n other_user.ban_user_with_username_from_community_with_name(username=user_to_unban.username,\\n community_name=community_name)\\n\\n url = self._get_url(community_name=community.name)\\n response = self.client.post(url, {\\n 'username': user_to_unban.username\\n }, **headers)\\n\\n self.assertEqual(response.status_code, status.HTTP_200_OK)\\n\\n self.assertFalse(user_to_unban.is_banned_from_community_with_name(community.name))\",\n \"def test_logs_user_unbanned(self):\\n user = make_user()\\n headers = make_authentication_headers_for_user(user)\\n\\n other_user = make_user()\\n community = make_community(creator=other_user, type='P')\\n community_name = community.name\\n\\n user.join_community_with_name(community_name)\\n other_user.add_moderator_with_username_to_community_with_name(username=user.username,\\n community_name=community.name)\\n\\n user_to_unban = make_user()\\n\\n other_user.ban_user_with_username_from_community_with_name(username=user_to_unban.username,\\n community_name=community_name)\\n\\n url = self._get_url(community_name=community.name)\\n self.client.post(url, {\\n 'username': user_to_unban.username\\n }, **headers)\\n\\n self.assertTrue(community.logs.filter(action_type='U',\\n source_user=user,\\n target_user=user_to_unban).exists())\",\n \"def test_delete_non_owner(self):\\n another_user = CustomUser.objects.create(id=134, email='another_user2@mail.com', is_active=True)\\n another_user.set_password('qwerty12345')\\n another_user.save()\\n\\n self.client.login(email='another_user2@mail.com', password='qwerty12345')\\n\\n url = reverse('notification',\\n kwargs={'way_id': self.notification.way_id, 'notification_id': 87876})\\n\\n response = self.client.delete(url)\\n\\n self.assertEqual(response.status_code, 403)\",\n \"def test_11_admin_user_not_listed_in_search(self):\\r\\n self.register()\\r\\n data = {'user': 'john'}\\r\\n res = self.app.post('/admin/users', data=data, follow_redirects=True)\\r\\n assert \\\"Manage Admin Users\\\" in res.data, res.data\\r\\n assert \\\"Current Users with Admin privileges\\\" not in res.data, res.data\\r\\n assert \\\"John\\\" not in res.data, res.data\",\n \"def test_remove_invalid(self, affiliate_items_url_factory):\\n with mock.patch('chiton.rack.affiliates.bulk.create_affiliate') as create_affiliate:\\n affiliate = ValidatingAffiliate()\\n affiliate.valid_tlds = ['com', 'org']\\n create_affiliate.return_value = affiliate\\n\\n items = affiliate_items_url_factory(['biz', 'com', 'net', 'org'])\\n assert AffiliateItem.objects.count() == 4\\n\\n assert len(list(prune_affiliate_items(items))) == 4\\n assert sorted([i.affiliate_url.split('.')[-1] for i in AffiliateItem.objects.all()]) == ['com', 'org']\",\n \"def test_not_approved_user(self):\\n (_,\\n joining_user_id,\\n conversation_id,\\n _) = self.setup_invites(is_approved=None)\\n self.set_session_cookie(joining_user_id, conversation_id)\\n self.set_user_cookie(joining_user_id, conversation_id)\\n uri = '/status/{}/{}'.format(conversation_id, joining_user_id)\\n rsp = self.client.post(uri,\\n data={'public_key': '',\\n 'last_message_seen_id': 0})\\n\\n rsp_json = json.loads(rsp.data)\\n self.assertFalse(rsp_json['success'])\",\n \"def is_news_article(self, page):\\n title = page.find(self.tag_prefix + self.title_tag).text\\n for meta in self.titles_to_exclude:\\n if title.startswith(meta):\\n logging.info(\\\"{} No es un articulo. Se ignora\\\".format(title.encode('utf8')))\\n return False\\n logging.info(\\\"{} Es un articulo. Se procesa\\\".format(title.encode('utf8')))\\n return True\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.7390404","0.7325027","0.72067845","0.6946993","0.67321724","0.65183187","0.63950413","0.6372304","0.62763035","0.6249247","0.6227952","0.6131288","0.61038554","0.6050085","0.6009835","0.5970444","0.59577054","0.594893","0.594354","0.5930259","0.59085625","0.5892033","0.5891637","0.58715653","0.58616334","0.5840505","0.580452","0.57864064","0.57808834","0.57760704","0.57660127","0.5757473","0.57535905","0.57507163","0.57258606","0.57058394","0.5683189","0.56753385","0.56740344","0.5670031","0.56622803","0.5653206","0.5647575","0.56312144","0.5628528","0.5628234","0.56259656","0.56251526","0.56226987","0.56140673","0.561133","0.5610644","0.5606124","0.5604028","0.5602099","0.55962235","0.5591651","0.5573702","0.5572192","0.55697143","0.5567634","0.55674326","0.55623454","0.55533373","0.5550481","0.5547257","0.5544622","0.55362475","0.55350816","0.55305016","0.55283695","0.55265397","0.5526331","0.55237985","0.5520154","0.5516308","0.5506676","0.54920816","0.5480027","0.5479942","0.54696137","0.5468186","0.54665715","0.5465205","0.54584867","0.5456403","0.54497427","0.54401445","0.543494","0.54334635","0.5433239","0.5433239","0.5433239","0.54325354","0.5425979","0.54254097","0.5423564","0.5422972","0.54199034","0.5405595","0.53944886"],"string":"[\n \"0.7390404\",\n \"0.7325027\",\n \"0.72067845\",\n \"0.6946993\",\n \"0.67321724\",\n \"0.65183187\",\n \"0.63950413\",\n \"0.6372304\",\n \"0.62763035\",\n \"0.6249247\",\n \"0.6227952\",\n \"0.6131288\",\n \"0.61038554\",\n \"0.6050085\",\n \"0.6009835\",\n \"0.5970444\",\n \"0.59577054\",\n \"0.594893\",\n \"0.594354\",\n \"0.5930259\",\n \"0.59085625\",\n \"0.5892033\",\n \"0.5891637\",\n \"0.58715653\",\n \"0.58616334\",\n \"0.5840505\",\n \"0.580452\",\n \"0.57864064\",\n \"0.57808834\",\n \"0.57760704\",\n \"0.57660127\",\n \"0.5757473\",\n \"0.57535905\",\n \"0.57507163\",\n \"0.57258606\",\n \"0.57058394\",\n \"0.5683189\",\n \"0.56753385\",\n \"0.56740344\",\n \"0.5670031\",\n \"0.56622803\",\n \"0.5653206\",\n \"0.5647575\",\n \"0.56312144\",\n \"0.5628528\",\n \"0.5628234\",\n \"0.56259656\",\n \"0.56251526\",\n \"0.56226987\",\n \"0.56140673\",\n \"0.561133\",\n \"0.5610644\",\n \"0.5606124\",\n \"0.5604028\",\n \"0.5602099\",\n \"0.55962235\",\n \"0.5591651\",\n \"0.5573702\",\n \"0.5572192\",\n \"0.55697143\",\n \"0.5567634\",\n \"0.55674326\",\n \"0.55623454\",\n \"0.55533373\",\n \"0.5550481\",\n \"0.5547257\",\n \"0.5544622\",\n \"0.55362475\",\n \"0.55350816\",\n \"0.55305016\",\n \"0.55283695\",\n \"0.55265397\",\n \"0.5526331\",\n \"0.55237985\",\n \"0.5520154\",\n \"0.5516308\",\n \"0.5506676\",\n \"0.54920816\",\n \"0.5480027\",\n \"0.5479942\",\n \"0.54696137\",\n \"0.5468186\",\n \"0.54665715\",\n \"0.5465205\",\n \"0.54584867\",\n \"0.5456403\",\n \"0.54497427\",\n \"0.54401445\",\n \"0.543494\",\n \"0.54334635\",\n \"0.5433239\",\n \"0.5433239\",\n \"0.5433239\",\n \"0.54325354\",\n \"0.5425979\",\n \"0.54254097\",\n \"0.5423564\",\n \"0.5422972\",\n \"0.54199034\",\n \"0.5405595\",\n \"0.53944886\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":86776,"cells":{"query":{"kind":"string","value":"Test user can not unpublish without permission"},"document":{"kind":"string","value":"def test_no_permission(self):\n self.assertStatusCode(self.url, 403)"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def test_unpublish_as_editor(self):\n e = self.make_event()\n e.published=True\n e.save()\n resp = self.request_with_role('/admin/events/unpublish/%s' % e.id, role='editor',\n method='POST')\n self.assertEqual(resp.status_code, 401)\n self.assertEqual(Event.objects(published=False).count(), 0)","def test_unpublish_as_publisher(self):\n e = self.make_event()\n e.published=True\n e.save()\n resp = self.request_with_role('/admin/events/unpublish/%s' % e.id, role='publisher',\n method='POST', follow_redirects=True)\n self.assertIn('Event unpublished', resp.data)\n self.assertEqual(resp.status_code, 200)\n self.assertEqual(Event.objects(published=False).count(), 1)","def canUnpublish(id, userId):\n db = core.connect()\n theShift = db[id]\n return user.isAdmin(userId) or (userId == theShift['createdBy'])","def test_unpublish_event_as_publisher_when_event_does_not_exist(self):\n e = self.make_event()\n e.published=True\n e.save()\n other_id = ObjectId()\n resp = self.request_with_role('/admin/events/unpublish/%s' % other_id, role='publisher',\n method='POST', follow_redirects=True)\n self.assertIn('Invalid event id', resp.data)\n self.assertEqual(resp.status_code, 200)\n self.assertEqual(Event.objects(published=False).count(), 0)","def test_public_status_page_remove_authorization_from_public_status_page(self):\n pass","def test_post_no_permission(self):\n self.user.user_permissions.clear()\n response = self._post()\n self.assertRedirectsToLogin(response)\n self._assert_no_change()","def test_no_permission(self):\n self.user.user_permissions.remove(*self.permissions)\n response = self._get()\n self.assertEqual(response.status_code, 302)","def test_no_permission(self):\n self.user.user_permissions.remove(*self.permissions)\n response = self._get()\n self.assertEqual(response.status_code, 302)","def test_permission_remove_one_action_ok(self):\n test_name = sys._getframe().f_code.co_name\n self._execute('permission remove anonymous TICKET_MODIFY')\n rv, output = self._execute('permission list')\n self.assertEqual(0, rv)\n self.assertEqual(self.expected_results[test_name], output)","def test_permission_remove_action_not_granted(self):\n test_name = sys._getframe().f_code.co_name\n rv, output = self._execute('permission remove anonymous TICKET_CREATE')\n self.assertEqual(2, rv)\n self.assertEqual(self.expected_results[test_name], output)","def test_user_without_share(self):\n set_permission(Permission.EDIT, self.user1, self.collection)\n\n # Can not add permissions to users.\n data = {\"users\": {self.user2.pk: \"view\"}}\n resp = self._detail_permissions(self.collection.pk, data, self.user1)\n self.assertEqual(resp.status_code, status.HTTP_403_FORBIDDEN)\n\n # Can not add permissions to groups.\n data = {\"users\": {self.group.pk: \"view\"}}\n resp = self._detail_permissions(self.collection.pk, data, self.user1)\n self.assertEqual(resp.status_code, status.HTTP_403_FORBIDDEN)","def test_delete_non_owner(self):\n another_user = CustomUser.objects.create(id=134, email='another_user2@mail.com', is_active=True)\n another_user.set_password('qwerty12345')\n another_user.save()\n\n self.client.login(email='another_user2@mail.com', password='qwerty12345')\n\n url = reverse('notification',\n kwargs={'way_id': self.notification.way_id, 'notification_id': 87876})\n\n response = self.client.delete(url)\n\n self.assertEqual(response.status_code, 403)","def test_permission_remove_action_for_all_users(self):\n test_name = sys._getframe().f_code.co_name\n self._execute('permission add anonymous TICKET_CREATE')\n self._execute('permission remove * TICKET_CREATE')\n rv, output = self._execute('permission list')\n self.assertEqual(0, rv)\n self.assertEqual(self.expected_results[test_name], output)","def test_channel_removeowner_not_owner_permissions():\n clear()\n auth_register('randemail@gmail.com', 'password1234', 'Jane', 'Citizen')\n register_second_result = auth_register('randemail2@gmail.com', 'password1234', 'Jane', 'Citizen')\n register_third_result = auth_register('randemail3@gmail.com', 'password1234', 'Jane', 'Citizen')\n randChannel_id = channels_create(register_second_result['token'], 'Random Channel', True)\n with pytest.raises(AccessError):\n assert channel_removeowner(register_third_result['token'], randChannel_id['channel_id'], register_second_result['u_id'])","def test_cant_remove_other_users_from_stream(self) -> None:\n result = self.attempt_unsubscribe_of_principal(\n query_count=8,\n target_users=[self.example_user(\"cordelia\")],\n is_realm_admin=False,\n is_subbed=True,\n invite_only=False,\n target_users_subbed=True,\n )\n self.assert_json_error(result, \"Insufficient permission\")","def test_is_revoked(self):\n self.assertEqual(self.project.is_revoked(), False)","def test_auth_public_unowned(self):\n self.do_visible(True, 'pattieblack', True, tenant='froggy')","def test_auth_private_unowned(self):\n self.do_visible(False, 'pattieblack', False, tenant='froggy')","def test_permission_remove_all_actions_for_user(self):\n test_name = sys._getframe().f_code.co_name\n self._execute('permission remove anonymous *')\n rv, output = self._execute('permission list')\n self.assertEqual(0, rv)\n self.assertEqual(self.expected_results[test_name], output)","def test_user_can_change_not_author(self):\n self.assertFalse(self.story.user_can_change(self.user2))","def test_realm_admin_remove_others_from_public_stream(self) -> None:\n result = self.attempt_unsubscribe_of_principal(\n query_count=16,\n target_users=[self.example_user(\"cordelia\")],\n is_realm_admin=True,\n is_subbed=True,\n invite_only=False,\n target_users_subbed=True,\n )\n json = self.assert_json_success(result)\n self.assert_length(json[\"removed\"], 1)\n self.assert_length(json[\"not_removed\"], 0)","def test_delete_permission(self):\r\n self.assertFalse(self.creator_admin.has_delete_permission(self.request))","def test_permission_remove_unknown_user(self):\n test_name = sys._getframe().f_code.co_name\n rv, output = self._execute('permission remove joe TICKET_VIEW')\n self.assertEqual(2, rv)\n self.assertEqual(self.expected_results[test_name], output)","def test_destroy_not_owner(self):\n\n self.assertEqual(first=1, second=Post.objects.all().count())\n url = reverse('post-detail', args=(self.post.id,))\n self.client.credentials(HTTP_AUTHORIZATION=self.token_1)\n response = self.client.delete(path=url)\n self.assertEqual(first=403, second=response.status_code)\n self.assertEqual(first=1, second=Post.objects.all().count())","def test_realm_admin_remove_others_from_unsubbed_private_stream(self) -> None:\n result = self.attempt_unsubscribe_of_principal(\n query_count=17,\n target_users=[self.example_user(\"cordelia\")],\n is_realm_admin=True,\n is_subbed=False,\n invite_only=True,\n target_users_subbed=True,\n other_sub_users=[self.example_user(\"othello\")],\n )\n json = self.assert_json_success(result)\n self.assert_length(json[\"removed\"], 1)\n self.assert_length(json[\"not_removed\"], 0)","def test_unpublish_button_appears(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertContains(response, self.url)","def test_permission_remove_multiple_actions_ok(self):\n test_name = sys._getframe().f_code.co_name\n self._execute('permission remove anonymous WIKI_CREATE WIKI_MODIFY')\n rv, output = self._execute('permission list')\n self.assertEqual(0, rv)\n self.assertEqual(self.expected_results[test_name], output)","def test_not_owner(self):\n creating_user = create_user()\n creating_user.save()\n festival = create_festival('test', creating_user)\n festival.save()\n\n concert = create_concert(festival, 'test')\n concert.save()\n\n login(self.client)\n\n client = create_client('test')\n client.delete_access = True\n client.save()\n\n response = self.client.post('/backend/u/conc/', {'client': 'test', 'id': concert.pk})\n self.assertEqual(response.status_code, 200)\n self.assertEqual('Permission not granted', response.content.decode('utf-8'))","def test_post_no_permission(self):\n self.user.user_permissions.clear()\n response = self._post()\n self.assertRedirectsToLogin(response)\n self.assertEquals(self.model.objects.count(), 0)","def test_delete_author_unlogged(self):\n request = self.client.delete(self.epoint)\n self.assertEqual(request.status_code, status.HTTP_403_FORBIDDEN)","def test_modify_access_revoke_not_allowed(self):\r\n url = reverse('modify_access', kwargs={'course_id': self.course.id.to_deprecated_string()})\r\n response = self.client.get(url, {\r\n 'unique_student_identifier': self.other_staff.email,\r\n 'rolename': 'instructor',\r\n 'action': 'revoke',\r\n })\r\n self.assertEqual(response.status_code, 200)","def test_post_no_permission(self):\n self.user.user_permissions.clear()\n response = self._post()\n self.assertRedirectsToLogin(response)\n self.assertEquals(self.model.objects.count(), 1)","def test_post_creation_unauthorized(self):\n url = reverse('post-list')\n user_url = reverse('user-detail', kwargs={'pk': self.superuser.id})\n title = 'Test Title'\n body = 'Test Body'\n response = self.client.post(url, {'title': title, 'body': body, 'user': user_url}, format='json')\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)","def test_delete_shelf_unauthorized(self, *_):\n with patch(\"bookwyrm.suggested_users.rerank_suggestions_task.delay\"), patch(\n \"bookwyrm.activitystreams.populate_stream_task.delay\"\n ):\n rat = models.User.objects.create_user(\n \"rat@local.com\",\n \"rat@mouse.mouse\",\n \"password\",\n local=True,\n localname=\"rat\",\n )\n request = self.factory.post(\"\")\n request.user = rat\n\n with self.assertRaises(PermissionDenied):\n views.delete_shelf(request, self.shelf.id)\n\n self.assertTrue(models.Shelf.objects.filter(id=self.shelf.id).exists())","def test_no_permissions(self):\n\n login(self.client)\n\n client = create_client('test')\n client.write_access = False\n client.save()\n response = self.client.post('/backend/u/conc/', {'client': 'test', 'id': 3})\n self.assertEqual(response.status_code, 200)\n self.assertEqual('Permission not granted', response.content.decode('utf-8'))","def test_user_can_not_enroll_to_unpublished_project(self):\n self.client.force_authenticate(self.global_user_1)\n\n # Make sure nothing is found - not enrolled.\n resp = self.client.get(self.api_project_state_not_enrolled_unpublished_url)\n self.assertEqual(resp.status_code, 404)\n\n #NOTE: Allowed!\n # # POST and make sure the user is enrolled\n # resp = self.client.post(self.api_project_state_not_enrolled_unpublished_url)\n # self.assertEqual(resp.status_code, 403)\n # resp = self.client.get(self.api_project_state_not_enrolled_unpublished_url)\n # self.assertEqual(resp.status_code, 404)","def testPostAccessAllowed(self):\n for user in (self.contributor, self.delegate, self.owner, self.root):\n response = self.runPost(user, data=self.post_data)\n self.response_201(response)\n data = json.loads(response.content.decode(\"utf-8\"))\n self.assertIn(\"sodar_uuid\", data)\n SequencingMachine.objects.filter(sodar_uuid=data[\"sodar_uuid\"]).delete()","def test_realm_admin_remove_others_from_subbed_private_stream(self) -> None:\n result = self.attempt_unsubscribe_of_principal(\n query_count=17,\n target_users=[self.example_user(\"cordelia\")],\n is_realm_admin=True,\n is_subbed=True,\n invite_only=True,\n target_users_subbed=True,\n )\n json = self.assert_json_success(result)\n self.assert_length(json[\"removed\"], 1)\n self.assert_length(json[\"not_removed\"], 0)","def test_post_update_unauthorized(self):\n url = reverse('post-detail', kwargs={'pk': self.post.id})\n user_url = reverse('user-detail', kwargs={'pk': self.superuser.id})\n title = 'Random New Title'\n body = 'Random New Body'\n response = self.client.put(url, {'title': title, 'body': body, 'user': user_url}, format='json')\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)","def test_post_delete_unauthorized(self):\n url = reverse('post-detail', kwargs={'pk': self.post.id})\n response = self.client.delete(url)\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)","def test_no_permission(self):\n req = self.req(\"post\", \"/the/url\", data={\"action-doit\": \"3\"})\n req.user = Mock()\n req.user.has_perm.return_value = False\n\n res = self.view(\n req,\n decorator=self.actions(\n self.mock_model, [\"doit\"], permission=\"do_things\")\n )\n\n self.assertEqual(res.status_code, 403)\n req.user.has_perm.assert_called_with(\"do_things\")","def test_delete_private_stream(self) -> None:\n stream = self.set_up_stream_for_archiving(\"newstream\", invite_only=True)\n self.archive_stream(stream)","def test_unauthenticated(self):\n self.logout_user()\n\n response = self.client.get(self.api_link)\n self.assertContains(response, \"sign in to use private threads\", status_code=403)","def test_get_no_permission(self):\n self.user.user_permissions.clear()\n response = self._get()\n self.assertRedirectsToLogin(response)\n self._assert_no_change()","def test_access_negative(self, api):\n self.builder.add_user(api.get_user())\n r1 = api.access_user(api.get_user(), False)\n access_false = self.builder.get_access(api.get_user())\n self.builder.del_user(api.get_user())\n assert access_false == 0\n assert r1.status_code == 200","def test_remove_facility_pt3(self):\n self.assertFalse(self.learner1.has_perm('auth.remove_facility'))","def test_get_deletable_mark_for_own_activity(self):\n from .mockers import user_status as activity\n username = 'messi'\n self.create_user(username)\n res = self.testapp.post('/people/%s/activities' % username, json.dumps(activity), oauth2Header(username), status=201)\n res = self.testapp.get('/activities/%s' % res.json['id'], '', oauth2Header(username), status=200)\n self.assertEqual(res.json['deletable'], True)","def test_remove_facility_pt1(self):\n self.assertFalse(self.admin.has_perm('auth.remove_facility'))","def test_user_can_not_enroll_to_unpublished_lesson(self):\n self.client.force_authenticate(self.global_user_1)\n\n # Make the unpublished project owned by the authenticated user:\n self.project_unpublished.owner = self.global_user_1\n self.project_unpublished.save()\n\n # Make sure nothing is found - not enrolled.\n resp = self.client.get(self.api_lesson_state_not_enrolled_unpublished_url)\n self.assertEqual(resp.status_code, 404)\n\n #NOTE: Allowed!\n # # POST and make sure the user is enrolled\n # resp = self.client.post(self.api_lesson_state_not_enrolled_unpublished_url)\n # self.assertEqual(resp.status_code, 403)\n # resp = self.client.get(self.api_lesson_state_not_enrolled_unpublished_url)\n # self.assertEqual(resp.status_code, 404)\n\n # Other user (that do not have access to the project)\n\n # Make the unpublished project owned by a user that is not child or delegator of the authenticated user:\n new_owner = get_user_model().objects.exclude(\n Q(pk=self.global_user_1.pk) |\n Q(pk__in=self.global_user_1.delegators.all()) |\n Q(pk__in=self.global_user_1.children.all())\n )[0]\n self.project_unpublished.owner = new_owner\n self.project_unpublished.save()\n\n # Make sure nothing is found - not enrolled.\n resp = self.client.get(self.api_lesson_state_not_enrolled_unpublished_url)\n self.assertEqual(resp.status_code, 404)\n\n # POST and make sure the user is enrolled\n resp = self.client.post(self.api_lesson_state_not_enrolled_unpublished_url)\n self.assertEqual(resp.status_code, 404)\n resp = self.client.get(self.api_lesson_state_not_enrolled_unpublished_url)\n self.assertEqual(resp.status_code, 404)","def test_should_render_user_with_can_change_status_and_unpublished(\n self,\n ) -> None:\n self.assertFalse(self.action.should_render(\n context=self._create_request_context(\n can_change_status=True,\n public=False,\n user=self.create_user())))","def test_get_no_permission(self):\n self.user.user_permissions.clear()\n response = self._get()\n self.assertRedirectsToLogin(response)","def test_get_no_permission(self):\n self.user.user_permissions.clear()\n response = self._get()\n self.assertRedirectsToLogin(response)","def test_successfult_post_deletion(self):\n self.user.is_moderator = True\n self.user.save()\n response = self.client.delete(reverse('api:posts-detail', kwargs={'pk': self.post1.id}))\n self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)\n self.assertEqual(Post.objects.count(), 1)","def test_no_unpublish_button_appears(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertNotContains(response, self.url)","def test_cannot_delete_usage(self):\n p = Permission.objects.get(name='Can delete usage')\n self.user.user_permissions.add(p)\n self.client.login(username='testuser', password='q2w3E$R%')\n response = self.client.delete(reverse('api_v1:usage-detail', kwargs={'pk': 1}),\n follow=True)\n self.assertEqual(response.status_code, 405)\n self.assertIn('not allowed', str(response.content))","def test_has_perm_change(self):\n perm = \"change\"\n self.assertTrue(self.story.has_perm(self.user1, perm))\n self.assertFalse(self.story.has_perm(self.user2, perm))","def testDeleteAccessDenied(self):\n self.assertEqual(SequencingMachine.objects.count(), 1)\n self.runDelete(None, sequencer=self.hiseq2000.sodar_uuid)\n self.assertEqual(SequencingMachine.objects.count(), 1)\n self.response_401()\n for user in (self.guest, self.norole, self.unrelated_owner):\n self.assertEqual(SequencingMachine.objects.count(), 1)\n self.runDelete(user, sequencer=self.hiseq2000.sodar_uuid)\n self.assertEqual(SequencingMachine.objects.count(), 1)\n self.response_403()","def test_delete_delegate_unauthorized(self):\n new_user = self.make_user('new_user')\n delegate_as = self.make_assignment(\n self.project, new_user, self.role_delegate\n )\n self.assertEqual(RoleAssignment.objects.count(), 4)\n url = reverse(\n 'projectroles:api_role_destroy',\n kwargs={'roleassignment': delegate_as.sodar_uuid},\n )\n # NOTE: Perform record as contributor user\n token = self.get_token(self.assign_user)\n response = self.request_knox(url, method='DELETE', token=token)\n self.assertEqual(response.status_code, 403, msg=response.content)\n self.assertEqual(RoleAssignment.objects.count(), 4)","def test_post_deletion_unauthenticated(self):\n url = reverse(\n 'post-detail',\n args=[\n self.topic1.url_name,\n self.post1.id\n ]\n )\n response = self.client.delete(url)\n\n self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)\n deleted_post = Post.objects.filter(\n id=self.post1.id,\n )\n self.assertTrue(deleted_post.exists())","def test_get_deletable_mark_for_others_activity(self):\n from .mockers import user_status as activity\n username = 'messi'\n username2 = 'xavi'\n self.create_user(username)\n self.create_user(username2)\n res = self.testapp.post('/people/%s/activities' % username, json.dumps(activity), oauth2Header(username), status=201)\n res = self.testapp.get('/activities/%s' % res.json['id'], '', oauth2Header(username2), status=200)\n self.assertEqual(res.json['deletable'], False)","def test_channel_removeowner_invalid_token_after_logout():\n clear()\n auth_register('randemail@gmail.com', 'password1234', 'Jane', 'Citizen')\n register_second_result = auth_register('randemail2@gmail.com', 'password1234', 'Jane', 'Citizen')\n register_third_result = auth_register('randemail3@gmail.com', 'password1234', 'Jane', 'Citizen')\n randChannel_id = channels_create(register_second_result['token'], 'Random Channel', True)\n channels_create(register_third_result['token'], 'Random Channel 2', True)\n channel_addowner(register_second_result['token'], randChannel_id['channel_id'], register_third_result['u_id'])\n auth_logout(register_second_result['token'])\n with pytest.raises(AccessError):\n assert channel_removeowner(register_second_result['token'], randChannel_id['channel_id'], register_third_result['u_id'])","def teardown_volume_access( user_email, volume_name ):\n client = connect_syndicate()\n \n # block the user from creating more gateways, and delete the gateways\n try:\n rc = client.remove_user_from_volume( user_email, volume_name )\n assert rc is True, \"Failed to remove access right for %s in %s\" % (user_email, volume_name)\n \n except Exception, e:\n logger.exception(e)\n return False\n \n return True","def test_delete_post_by_another_user(self):\n url = reverse(\n 'post-detail',\n args=[\n self.topic1.url_name,\n self.post1.id\n ]\n )\n self.client.credentials(\n HTTP_AUTHORIZATION = 'Token ' + self.user2.auth_token.key\n )\n response = self.client.delete(url)\n\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)\n deleted_post = Post.objects.filter(\n id=self.post1.id,\n )\n self.assertTrue(deleted_post.exists())","def test_remove_facility_pt2(self):\n self.assertFalse(self.coach1.has_perm('auth.remove_facility'))","def test_channel_removeowner_owner_flockr_not_member():\n clear()\n register_first_result = auth_register('randemail@gmail.com', 'password1234', 'Jane', 'Citizen')\n register_second_result = auth_register('randemail2@gmail.com', 'password1234', 'Jane', 'Citizen')\n register_third_result = auth_register('randemail3@gmail.com', 'password1234', 'Jane', 'Citizen')\n randChannel_id = channels_create(register_second_result['token'], 'Random Channel', True)\n channel_addowner(register_second_result['token'], randChannel_id['channel_id'], register_third_result['u_id'])\n with pytest.raises(AccessError):\n assert channel_removeowner(register_first_result['token'], randChannel_id['channel_id'], register_third_result['u_id'])","def test_change_permission(self):\r\n self.assertTrue(self.creator_admin.has_change_permission(self.request))\r\n\r\n self.request.user = self.user\r\n self.assertFalse(self.creator_admin.has_change_permission(self.request))","def test_delete_post_by_user(self):\n\n response = self.client.delete(reverse('api:posts-detail', kwargs={'pk': self.post1.id}))\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)","def test_not_logged_in(self):\n\n # test show album\n self.perm_escalate_helper(self.albumcontrol, self.showalbumrequest, self.testalbum, self.testalbum.id,\n AnonymousUser(), album.display_album, ALBUM_PUBLIC)\n\n # test photo view\n self.perm_escalate_helper_get_with_client(self.albumcontrol, self.testalbum, self.photo.id,\n \"photoid\", \"show_photo\", ALBUM_PUBLIC)\n\n # test individual photo view page\n self.perm_escalate_helper(self.albumcontrol, self.indivphotorequest, self.testalbum, self.photo.id,\n AnonymousUser(), album.display_photo, ALBUM_PUBLIC)","def test_remove_is_staff(self):\n self.user.is_staff = False\n self.user.save()\n self.user.refresh_from_db()\n response = self.client.get(self.get_url())\n self.assertEqual(response.status_code, 403)","def test_remove_is_staff(self):\n self.user.is_staff = False\n self.user.save()\n self.user.refresh_from_db()\n response = self.client.get(self.get_url())\n self.assertEqual(response.status_code, 403)","def test_remove_is_staff(self):\n self.user.is_staff = False\n self.user.save()\n self.user.refresh_from_db()\n response = self.client.get(self.get_url())\n self.assertEqual(response.status_code, 403)","def test_permission_denied_no_permission(self):\n\n # Remove user from group ( added in setUpClass ) -> no permission\n self.group.user_set.remove(self.user)\n\n c = suds.client.Client(\n self.wsdl, username=self.username, password=self.password)\n result_code, result_msg = c.service.getRecentAuditTrails()\n self.assertEqual(result_code, 401)","def unpublish_action(modeladmin, request, queryset):\n\n count = queryset.filter(published=True).update(published=False)\n messages.info(request, f\"Unpublished {count} objects\")","async def test_event_stream_requires_admin(\n hass: HomeAssistant, mock_api_client: TestClient, hass_admin_user: MockUser\n) -> None:\n hass_admin_user.groups = []\n resp = await mock_api_client.get(\"/api/stream\")\n assert resp.status == HTTPStatus.UNAUTHORIZED","def has_perm_publish_data(user):\n has_perm_publish(user, rights.PUBLISH_DATA)","def test_post_creation_unauthenticated(self):\n url = reverse('post-list', args=[self.topic1.url_name])\n payload = {\n 'author': self.user1.id,\n 'title': 'Creating a post while being unauthenticated',\n 'content': 'Rich content 5',\n }\n response = self.client.post(url, payload)\n\n self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)\n new_post = Post.objects.filter(\n author=self.user1,\n title=payload.get('title'),\n content=payload.get('content'),\n topic=self.topic1\n )\n self.assertFalse(new_post.exists())","def test_only_edit_perm(self):\n self.assertStatusCode(self.url, 403)","def test_util_has_perm_or_owns_sanity(self):\n me = User.objects.get(pk=118533)\n my_t = Thread.objects.filter(creator=me)[0]\n other_t = Thread.objects.exclude(creator=me)[0]\n perm = 'forums_forum.thread_edit_forum'\n allowed = access.has_perm_or_owns(me, perm, my_t, self.forum_1)\n eq_(allowed, True)\n allowed = access.has_perm_or_owns(me, perm, other_t, self.forum_1)\n eq_(allowed, False)","def test_handle_unassign_as_admin(self):\r\n def facade_retrieve_side_effect(*args, **kwargs):\r\n \"\"\"Return a side effect for the mock facade.\"\"\"\r\n if args[0] == Project:\r\n return Project(\"GTID\", [])\r\n elif args[0] == Team:\r\n team = Team(\"GTID\", \"team-name\", \"display-name\")\r\n return team\r\n else:\r\n calling_user = User(user)\r\n calling_user.permissions_level = Permissions.admin\r\n return calling_user\r\n self.mock_facade.retrieve.side_effect = facade_retrieve_side_effect\r\n with self.app.app_context():\r\n resp, code = \\\r\n self.testcommand.handle(\"project unassign 1\",\r\n user)\r\n assert (resp, code) == (\"Project successfully unassigned!\", 200)","def test_remove_user(self):\n pass","def test_has_perm_post_delete(self):\n self.context['request'].user = User.objects.get(pk=47963)\n allowed = has_perm(self.context, 'forums_forum.post_delete_forum',\n self.forum_1)\n eq_(allowed, True)\n allowed = has_perm(self.context, 'forums_forum.post_delete_forum',\n self.forum_2)\n eq_(allowed, False)","def test_no_delete_permission(client):\n user = user_with_permissions(\"polls.view_poll\")\n poll = Poll.objects.create(owner=user, text=\"question\")\n\n url = reverse(\"admin:polls_poll_change\", args=(poll.pk,))\n delete_url = reverse(\"admin:polls_poll_delete\", args=(poll.pk,))\n client.force_login(user)\n\n response = client.get(url)\n assert delete_url not in response.content.decode()","def test_forbidden_non_dcc_analyst(self):\n phenotype_taggers = Group.objects.get(name='dcc_analysts')\n self.user.groups.remove(phenotype_taggers)\n self.user.is_staff = False\n self.user.save()\n self.user.refresh_from_db()\n response = self.client.get(self.get_url(self.trait.pk))\n self.assertEqual(response.status_code, 403)","def test_update_by_non_owner(self):\n # User 1\n saved1 = self.create_article()\n article_url = saved1[0]\n # get user2 details\n token = self.create_article_user2()\n response = self.test_client.put(article_url,self.article_update_data, format='json', HTTP_AUTHORIZATION=token)\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)","def test_remove_already_not_subbed(self) -> None:\n result = self.attempt_unsubscribe_of_principal(\n query_count=11,\n target_users=[self.example_user(\"cordelia\")],\n is_realm_admin=True,\n is_subbed=False,\n invite_only=False,\n target_users_subbed=False,\n )\n json = self.assert_json_success(result)\n self.assert_length(json[\"removed\"], 0)\n self.assert_length(json[\"not_removed\"], 1)","def test_delete_but_no_view_permission(client):\n user = user_with_permissions(\"polls.delete_poll\")\n\n url = reverse(\"admin:index\")\n client.force_login(user)\n\n response = client.get(url)\n assert parse_sidemenu(response) == {\"Global\": [\"/en/admin/\"], \"Polls\": [None]}","def unpublish(id):\n db = core.connect()\n theShift = db[id]\n theShift[\"publishData\"][\"draft\"] = True\n db[id] = theShift","def test_get_non_owner(self):\n another_user = CustomUser(id=101, email='another_user@mail.com', is_active=True)\n another_user.set_password('testpassword')\n another_user.save()\n self.client.login(email='another_user@mail.com', password='testpassword')\n\n url = reverse('notification',\n kwargs={'way_id': self.notification.way_id, 'notification_id': self.notification.id})\n response = self.client.get(url)\n self.assertEqual(response.status_code, 403)","def test_unauthenticated_resource_allowed(self):\n raise NotImplementedError # FIXME","def testDeleteAccessAllowed(self):\n for user in (self.contributor, self.delegate, self.owner, self.root):\n SequencingMachine.objects.all().delete()\n machine = self.make_machine()\n self.assertEqual(SequencingMachine.objects.count(), 1)\n response = self.runDelete(user, sequencer=machine.sodar_uuid)\n self.response_204(response)\n self.assertEqual(SequencingMachine.objects.count(), 0)","def test_no_permission(self):\n override_acl(self.user, {'can_use_private_threads': 0})\n\n response = self.client.get(self.api_link)\n self.assertContains(response, \"t use private threads\", status_code=403)","def test_auth_private_owned(self):\n self.do_visible(True, 'pattieblack', False, tenant='pattieblack')","def test_01_self_unshare_resource(self):\n holes = self.holes\n cat = self.cat\n dog = self.dog\n cat.uaccess.share_resource_with_user(holes, dog, PrivilegeCodes.CHANGE)\n self.assertTrue(dog in holes.raccess.edit_users)\n self.assertTrue(dog in holes.raccess.view_users)\n self.assertTrue(\n is_equal_to_as_set(\n [dog],\n dog.uaccess.get_resource_unshare_users(holes)))\n dog.uaccess.unshare_resource_with_user(holes, dog)\n self.assertFalse(dog in holes.raccess.edit_users)\n self.assertFalse(dog in holes.raccess.view_users)\n self.assertTrue(\n is_equal_to_as_set(\n [], dog.uaccess.get_resource_unshare_users(holes)))","def test_unsubscribe_offer(self):\n pass","def perm_escalate_helper(self, albumcontrol, request, testalbum, id, user, func, level):\n # assign anonymous user to requests\n request.user = user\n\n albumcontrol.set_accesstype(testalbum, ALBUM_PUBLIC)\n\n if level >= ALBUM_PUBLIC:\n response = func(request, id)\n self.assertEqual(response.status_code, 200)\n else:\n self.assertRaises(PermissionException, func, request, id)\n\n albumcontrol.set_accesstype(testalbum, ALBUM_ALLFRIENDS)\n\n if level >= ALBUM_ALLFRIENDS:\n response = func(request, id)\n self.assertEqual(response.status_code, 200)\n else:\n self.assertRaises(PermissionException, func, request, id)\n\n albumcontrol.set_accesstype(testalbum, ALBUM_GROUPS)\n\n if level >= ALBUM_GROUPS:\n response = func(request, id)\n self.assertEqual(response.status_code, 200)\n else:\n self.assertRaises(PermissionException, func, request, id)\n\n albumcontrol.set_accesstype(testalbum, ALBUM_PRIVATE)\n\n if level >= ALBUM_PRIVATE:\n response = func(request, id)\n self.assertEqual(response.status_code, 200)\n else:\n self.assertRaises(PermissionException, func, request, id)","def testNoPermission(self):\n self.login_user(self.user)\n response = self.client.get(self.url, self.args)\n self.assertEqual(response.status_code, 302)","def test_is_revoked_target(self):\n self.site.mode = SITE_MODE_SOURCE\n self.site.save()\n self.assertEqual(self.project.is_revoked(), False)\n self.remote_project.level = SODAR_CONSTANTS['REMOTE_LEVEL_REVOKED']\n self.remote_project.save()\n self.assertEqual(self.project.is_revoked(), True)"],"string":"[\n \"def test_unpublish_as_editor(self):\\n e = self.make_event()\\n e.published=True\\n e.save()\\n resp = self.request_with_role('/admin/events/unpublish/%s' % e.id, role='editor',\\n method='POST')\\n self.assertEqual(resp.status_code, 401)\\n self.assertEqual(Event.objects(published=False).count(), 0)\",\n \"def test_unpublish_as_publisher(self):\\n e = self.make_event()\\n e.published=True\\n e.save()\\n resp = self.request_with_role('/admin/events/unpublish/%s' % e.id, role='publisher',\\n method='POST', follow_redirects=True)\\n self.assertIn('Event unpublished', resp.data)\\n self.assertEqual(resp.status_code, 200)\\n self.assertEqual(Event.objects(published=False).count(), 1)\",\n \"def canUnpublish(id, userId):\\n db = core.connect()\\n theShift = db[id]\\n return user.isAdmin(userId) or (userId == theShift['createdBy'])\",\n \"def test_unpublish_event_as_publisher_when_event_does_not_exist(self):\\n e = self.make_event()\\n e.published=True\\n e.save()\\n other_id = ObjectId()\\n resp = self.request_with_role('/admin/events/unpublish/%s' % other_id, role='publisher',\\n method='POST', follow_redirects=True)\\n self.assertIn('Invalid event id', resp.data)\\n self.assertEqual(resp.status_code, 200)\\n self.assertEqual(Event.objects(published=False).count(), 0)\",\n \"def test_public_status_page_remove_authorization_from_public_status_page(self):\\n pass\",\n \"def test_post_no_permission(self):\\n self.user.user_permissions.clear()\\n response = self._post()\\n self.assertRedirectsToLogin(response)\\n self._assert_no_change()\",\n \"def test_no_permission(self):\\n self.user.user_permissions.remove(*self.permissions)\\n response = self._get()\\n self.assertEqual(response.status_code, 302)\",\n \"def test_no_permission(self):\\n self.user.user_permissions.remove(*self.permissions)\\n response = self._get()\\n self.assertEqual(response.status_code, 302)\",\n \"def test_permission_remove_one_action_ok(self):\\n test_name = sys._getframe().f_code.co_name\\n self._execute('permission remove anonymous TICKET_MODIFY')\\n rv, output = self._execute('permission list')\\n self.assertEqual(0, rv)\\n self.assertEqual(self.expected_results[test_name], output)\",\n \"def test_permission_remove_action_not_granted(self):\\n test_name = sys._getframe().f_code.co_name\\n rv, output = self._execute('permission remove anonymous TICKET_CREATE')\\n self.assertEqual(2, rv)\\n self.assertEqual(self.expected_results[test_name], output)\",\n \"def test_user_without_share(self):\\n set_permission(Permission.EDIT, self.user1, self.collection)\\n\\n # Can not add permissions to users.\\n data = {\\\"users\\\": {self.user2.pk: \\\"view\\\"}}\\n resp = self._detail_permissions(self.collection.pk, data, self.user1)\\n self.assertEqual(resp.status_code, status.HTTP_403_FORBIDDEN)\\n\\n # Can not add permissions to groups.\\n data = {\\\"users\\\": {self.group.pk: \\\"view\\\"}}\\n resp = self._detail_permissions(self.collection.pk, data, self.user1)\\n self.assertEqual(resp.status_code, status.HTTP_403_FORBIDDEN)\",\n \"def test_delete_non_owner(self):\\n another_user = CustomUser.objects.create(id=134, email='another_user2@mail.com', is_active=True)\\n another_user.set_password('qwerty12345')\\n another_user.save()\\n\\n self.client.login(email='another_user2@mail.com', password='qwerty12345')\\n\\n url = reverse('notification',\\n kwargs={'way_id': self.notification.way_id, 'notification_id': 87876})\\n\\n response = self.client.delete(url)\\n\\n self.assertEqual(response.status_code, 403)\",\n \"def test_permission_remove_action_for_all_users(self):\\n test_name = sys._getframe().f_code.co_name\\n self._execute('permission add anonymous TICKET_CREATE')\\n self._execute('permission remove * TICKET_CREATE')\\n rv, output = self._execute('permission list')\\n self.assertEqual(0, rv)\\n self.assertEqual(self.expected_results[test_name], output)\",\n \"def test_channel_removeowner_not_owner_permissions():\\n clear()\\n auth_register('randemail@gmail.com', 'password1234', 'Jane', 'Citizen')\\n register_second_result = auth_register('randemail2@gmail.com', 'password1234', 'Jane', 'Citizen')\\n register_third_result = auth_register('randemail3@gmail.com', 'password1234', 'Jane', 'Citizen')\\n randChannel_id = channels_create(register_second_result['token'], 'Random Channel', True)\\n with pytest.raises(AccessError):\\n assert channel_removeowner(register_third_result['token'], randChannel_id['channel_id'], register_second_result['u_id'])\",\n \"def test_cant_remove_other_users_from_stream(self) -> None:\\n result = self.attempt_unsubscribe_of_principal(\\n query_count=8,\\n target_users=[self.example_user(\\\"cordelia\\\")],\\n is_realm_admin=False,\\n is_subbed=True,\\n invite_only=False,\\n target_users_subbed=True,\\n )\\n self.assert_json_error(result, \\\"Insufficient permission\\\")\",\n \"def test_is_revoked(self):\\n self.assertEqual(self.project.is_revoked(), False)\",\n \"def test_auth_public_unowned(self):\\n self.do_visible(True, 'pattieblack', True, tenant='froggy')\",\n \"def test_auth_private_unowned(self):\\n self.do_visible(False, 'pattieblack', False, tenant='froggy')\",\n \"def test_permission_remove_all_actions_for_user(self):\\n test_name = sys._getframe().f_code.co_name\\n self._execute('permission remove anonymous *')\\n rv, output = self._execute('permission list')\\n self.assertEqual(0, rv)\\n self.assertEqual(self.expected_results[test_name], output)\",\n \"def test_user_can_change_not_author(self):\\n self.assertFalse(self.story.user_can_change(self.user2))\",\n \"def test_realm_admin_remove_others_from_public_stream(self) -> None:\\n result = self.attempt_unsubscribe_of_principal(\\n query_count=16,\\n target_users=[self.example_user(\\\"cordelia\\\")],\\n is_realm_admin=True,\\n is_subbed=True,\\n invite_only=False,\\n target_users_subbed=True,\\n )\\n json = self.assert_json_success(result)\\n self.assert_length(json[\\\"removed\\\"], 1)\\n self.assert_length(json[\\\"not_removed\\\"], 0)\",\n \"def test_delete_permission(self):\\r\\n self.assertFalse(self.creator_admin.has_delete_permission(self.request))\",\n \"def test_permission_remove_unknown_user(self):\\n test_name = sys._getframe().f_code.co_name\\n rv, output = self._execute('permission remove joe TICKET_VIEW')\\n self.assertEqual(2, rv)\\n self.assertEqual(self.expected_results[test_name], output)\",\n \"def test_destroy_not_owner(self):\\n\\n self.assertEqual(first=1, second=Post.objects.all().count())\\n url = reverse('post-detail', args=(self.post.id,))\\n self.client.credentials(HTTP_AUTHORIZATION=self.token_1)\\n response = self.client.delete(path=url)\\n self.assertEqual(first=403, second=response.status_code)\\n self.assertEqual(first=1, second=Post.objects.all().count())\",\n \"def test_realm_admin_remove_others_from_unsubbed_private_stream(self) -> None:\\n result = self.attempt_unsubscribe_of_principal(\\n query_count=17,\\n target_users=[self.example_user(\\\"cordelia\\\")],\\n is_realm_admin=True,\\n is_subbed=False,\\n invite_only=True,\\n target_users_subbed=True,\\n other_sub_users=[self.example_user(\\\"othello\\\")],\\n )\\n json = self.assert_json_success(result)\\n self.assert_length(json[\\\"removed\\\"], 1)\\n self.assert_length(json[\\\"not_removed\\\"], 0)\",\n \"def test_unpublish_button_appears(self):\\n response = self.client.get(reverse('wagtailnews:index', kwargs={\\n 'pk': self.index.pk}))\\n self.assertContains(response, self.url)\",\n \"def test_permission_remove_multiple_actions_ok(self):\\n test_name = sys._getframe().f_code.co_name\\n self._execute('permission remove anonymous WIKI_CREATE WIKI_MODIFY')\\n rv, output = self._execute('permission list')\\n self.assertEqual(0, rv)\\n self.assertEqual(self.expected_results[test_name], output)\",\n \"def test_not_owner(self):\\n creating_user = create_user()\\n creating_user.save()\\n festival = create_festival('test', creating_user)\\n festival.save()\\n\\n concert = create_concert(festival, 'test')\\n concert.save()\\n\\n login(self.client)\\n\\n client = create_client('test')\\n client.delete_access = True\\n client.save()\\n\\n response = self.client.post('/backend/u/conc/', {'client': 'test', 'id': concert.pk})\\n self.assertEqual(response.status_code, 200)\\n self.assertEqual('Permission not granted', response.content.decode('utf-8'))\",\n \"def test_post_no_permission(self):\\n self.user.user_permissions.clear()\\n response = self._post()\\n self.assertRedirectsToLogin(response)\\n self.assertEquals(self.model.objects.count(), 0)\",\n \"def test_delete_author_unlogged(self):\\n request = self.client.delete(self.epoint)\\n self.assertEqual(request.status_code, status.HTTP_403_FORBIDDEN)\",\n \"def test_modify_access_revoke_not_allowed(self):\\r\\n url = reverse('modify_access', kwargs={'course_id': self.course.id.to_deprecated_string()})\\r\\n response = self.client.get(url, {\\r\\n 'unique_student_identifier': self.other_staff.email,\\r\\n 'rolename': 'instructor',\\r\\n 'action': 'revoke',\\r\\n })\\r\\n self.assertEqual(response.status_code, 200)\",\n \"def test_post_no_permission(self):\\n self.user.user_permissions.clear()\\n response = self._post()\\n self.assertRedirectsToLogin(response)\\n self.assertEquals(self.model.objects.count(), 1)\",\n \"def test_post_creation_unauthorized(self):\\n url = reverse('post-list')\\n user_url = reverse('user-detail', kwargs={'pk': self.superuser.id})\\n title = 'Test Title'\\n body = 'Test Body'\\n response = self.client.post(url, {'title': title, 'body': body, 'user': user_url}, format='json')\\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)\",\n \"def test_delete_shelf_unauthorized(self, *_):\\n with patch(\\\"bookwyrm.suggested_users.rerank_suggestions_task.delay\\\"), patch(\\n \\\"bookwyrm.activitystreams.populate_stream_task.delay\\\"\\n ):\\n rat = models.User.objects.create_user(\\n \\\"rat@local.com\\\",\\n \\\"rat@mouse.mouse\\\",\\n \\\"password\\\",\\n local=True,\\n localname=\\\"rat\\\",\\n )\\n request = self.factory.post(\\\"\\\")\\n request.user = rat\\n\\n with self.assertRaises(PermissionDenied):\\n views.delete_shelf(request, self.shelf.id)\\n\\n self.assertTrue(models.Shelf.objects.filter(id=self.shelf.id).exists())\",\n \"def test_no_permissions(self):\\n\\n login(self.client)\\n\\n client = create_client('test')\\n client.write_access = False\\n client.save()\\n response = self.client.post('/backend/u/conc/', {'client': 'test', 'id': 3})\\n self.assertEqual(response.status_code, 200)\\n self.assertEqual('Permission not granted', response.content.decode('utf-8'))\",\n \"def test_user_can_not_enroll_to_unpublished_project(self):\\n self.client.force_authenticate(self.global_user_1)\\n\\n # Make sure nothing is found - not enrolled.\\n resp = self.client.get(self.api_project_state_not_enrolled_unpublished_url)\\n self.assertEqual(resp.status_code, 404)\\n\\n #NOTE: Allowed!\\n # # POST and make sure the user is enrolled\\n # resp = self.client.post(self.api_project_state_not_enrolled_unpublished_url)\\n # self.assertEqual(resp.status_code, 403)\\n # resp = self.client.get(self.api_project_state_not_enrolled_unpublished_url)\\n # self.assertEqual(resp.status_code, 404)\",\n \"def testPostAccessAllowed(self):\\n for user in (self.contributor, self.delegate, self.owner, self.root):\\n response = self.runPost(user, data=self.post_data)\\n self.response_201(response)\\n data = json.loads(response.content.decode(\\\"utf-8\\\"))\\n self.assertIn(\\\"sodar_uuid\\\", data)\\n SequencingMachine.objects.filter(sodar_uuid=data[\\\"sodar_uuid\\\"]).delete()\",\n \"def test_realm_admin_remove_others_from_subbed_private_stream(self) -> None:\\n result = self.attempt_unsubscribe_of_principal(\\n query_count=17,\\n target_users=[self.example_user(\\\"cordelia\\\")],\\n is_realm_admin=True,\\n is_subbed=True,\\n invite_only=True,\\n target_users_subbed=True,\\n )\\n json = self.assert_json_success(result)\\n self.assert_length(json[\\\"removed\\\"], 1)\\n self.assert_length(json[\\\"not_removed\\\"], 0)\",\n \"def test_post_update_unauthorized(self):\\n url = reverse('post-detail', kwargs={'pk': self.post.id})\\n user_url = reverse('user-detail', kwargs={'pk': self.superuser.id})\\n title = 'Random New Title'\\n body = 'Random New Body'\\n response = self.client.put(url, {'title': title, 'body': body, 'user': user_url}, format='json')\\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)\",\n \"def test_post_delete_unauthorized(self):\\n url = reverse('post-detail', kwargs={'pk': self.post.id})\\n response = self.client.delete(url)\\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)\",\n \"def test_no_permission(self):\\n req = self.req(\\\"post\\\", \\\"/the/url\\\", data={\\\"action-doit\\\": \\\"3\\\"})\\n req.user = Mock()\\n req.user.has_perm.return_value = False\\n\\n res = self.view(\\n req,\\n decorator=self.actions(\\n self.mock_model, [\\\"doit\\\"], permission=\\\"do_things\\\")\\n )\\n\\n self.assertEqual(res.status_code, 403)\\n req.user.has_perm.assert_called_with(\\\"do_things\\\")\",\n \"def test_delete_private_stream(self) -> None:\\n stream = self.set_up_stream_for_archiving(\\\"newstream\\\", invite_only=True)\\n self.archive_stream(stream)\",\n \"def test_unauthenticated(self):\\n self.logout_user()\\n\\n response = self.client.get(self.api_link)\\n self.assertContains(response, \\\"sign in to use private threads\\\", status_code=403)\",\n \"def test_get_no_permission(self):\\n self.user.user_permissions.clear()\\n response = self._get()\\n self.assertRedirectsToLogin(response)\\n self._assert_no_change()\",\n \"def test_access_negative(self, api):\\n self.builder.add_user(api.get_user())\\n r1 = api.access_user(api.get_user(), False)\\n access_false = self.builder.get_access(api.get_user())\\n self.builder.del_user(api.get_user())\\n assert access_false == 0\\n assert r1.status_code == 200\",\n \"def test_remove_facility_pt3(self):\\n self.assertFalse(self.learner1.has_perm('auth.remove_facility'))\",\n \"def test_get_deletable_mark_for_own_activity(self):\\n from .mockers import user_status as activity\\n username = 'messi'\\n self.create_user(username)\\n res = self.testapp.post('/people/%s/activities' % username, json.dumps(activity), oauth2Header(username), status=201)\\n res = self.testapp.get('/activities/%s' % res.json['id'], '', oauth2Header(username), status=200)\\n self.assertEqual(res.json['deletable'], True)\",\n \"def test_remove_facility_pt1(self):\\n self.assertFalse(self.admin.has_perm('auth.remove_facility'))\",\n \"def test_user_can_not_enroll_to_unpublished_lesson(self):\\n self.client.force_authenticate(self.global_user_1)\\n\\n # Make the unpublished project owned by the authenticated user:\\n self.project_unpublished.owner = self.global_user_1\\n self.project_unpublished.save()\\n\\n # Make sure nothing is found - not enrolled.\\n resp = self.client.get(self.api_lesson_state_not_enrolled_unpublished_url)\\n self.assertEqual(resp.status_code, 404)\\n\\n #NOTE: Allowed!\\n # # POST and make sure the user is enrolled\\n # resp = self.client.post(self.api_lesson_state_not_enrolled_unpublished_url)\\n # self.assertEqual(resp.status_code, 403)\\n # resp = self.client.get(self.api_lesson_state_not_enrolled_unpublished_url)\\n # self.assertEqual(resp.status_code, 404)\\n\\n # Other user (that do not have access to the project)\\n\\n # Make the unpublished project owned by a user that is not child or delegator of the authenticated user:\\n new_owner = get_user_model().objects.exclude(\\n Q(pk=self.global_user_1.pk) |\\n Q(pk__in=self.global_user_1.delegators.all()) |\\n Q(pk__in=self.global_user_1.children.all())\\n )[0]\\n self.project_unpublished.owner = new_owner\\n self.project_unpublished.save()\\n\\n # Make sure nothing is found - not enrolled.\\n resp = self.client.get(self.api_lesson_state_not_enrolled_unpublished_url)\\n self.assertEqual(resp.status_code, 404)\\n\\n # POST and make sure the user is enrolled\\n resp = self.client.post(self.api_lesson_state_not_enrolled_unpublished_url)\\n self.assertEqual(resp.status_code, 404)\\n resp = self.client.get(self.api_lesson_state_not_enrolled_unpublished_url)\\n self.assertEqual(resp.status_code, 404)\",\n \"def test_should_render_user_with_can_change_status_and_unpublished(\\n self,\\n ) -> None:\\n self.assertFalse(self.action.should_render(\\n context=self._create_request_context(\\n can_change_status=True,\\n public=False,\\n user=self.create_user())))\",\n \"def test_get_no_permission(self):\\n self.user.user_permissions.clear()\\n response = self._get()\\n self.assertRedirectsToLogin(response)\",\n \"def test_get_no_permission(self):\\n self.user.user_permissions.clear()\\n response = self._get()\\n self.assertRedirectsToLogin(response)\",\n \"def test_successfult_post_deletion(self):\\n self.user.is_moderator = True\\n self.user.save()\\n response = self.client.delete(reverse('api:posts-detail', kwargs={'pk': self.post1.id}))\\n self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)\\n self.assertEqual(Post.objects.count(), 1)\",\n \"def test_no_unpublish_button_appears(self):\\n response = self.client.get(reverse('wagtailnews:index', kwargs={\\n 'pk': self.index.pk}))\\n self.assertNotContains(response, self.url)\",\n \"def test_cannot_delete_usage(self):\\n p = Permission.objects.get(name='Can delete usage')\\n self.user.user_permissions.add(p)\\n self.client.login(username='testuser', password='q2w3E$R%')\\n response = self.client.delete(reverse('api_v1:usage-detail', kwargs={'pk': 1}),\\n follow=True)\\n self.assertEqual(response.status_code, 405)\\n self.assertIn('not allowed', str(response.content))\",\n \"def test_has_perm_change(self):\\n perm = \\\"change\\\"\\n self.assertTrue(self.story.has_perm(self.user1, perm))\\n self.assertFalse(self.story.has_perm(self.user2, perm))\",\n \"def testDeleteAccessDenied(self):\\n self.assertEqual(SequencingMachine.objects.count(), 1)\\n self.runDelete(None, sequencer=self.hiseq2000.sodar_uuid)\\n self.assertEqual(SequencingMachine.objects.count(), 1)\\n self.response_401()\\n for user in (self.guest, self.norole, self.unrelated_owner):\\n self.assertEqual(SequencingMachine.objects.count(), 1)\\n self.runDelete(user, sequencer=self.hiseq2000.sodar_uuid)\\n self.assertEqual(SequencingMachine.objects.count(), 1)\\n self.response_403()\",\n \"def test_delete_delegate_unauthorized(self):\\n new_user = self.make_user('new_user')\\n delegate_as = self.make_assignment(\\n self.project, new_user, self.role_delegate\\n )\\n self.assertEqual(RoleAssignment.objects.count(), 4)\\n url = reverse(\\n 'projectroles:api_role_destroy',\\n kwargs={'roleassignment': delegate_as.sodar_uuid},\\n )\\n # NOTE: Perform record as contributor user\\n token = self.get_token(self.assign_user)\\n response = self.request_knox(url, method='DELETE', token=token)\\n self.assertEqual(response.status_code, 403, msg=response.content)\\n self.assertEqual(RoleAssignment.objects.count(), 4)\",\n \"def test_post_deletion_unauthenticated(self):\\n url = reverse(\\n 'post-detail',\\n args=[\\n self.topic1.url_name,\\n self.post1.id\\n ]\\n )\\n response = self.client.delete(url)\\n\\n self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)\\n deleted_post = Post.objects.filter(\\n id=self.post1.id,\\n )\\n self.assertTrue(deleted_post.exists())\",\n \"def test_get_deletable_mark_for_others_activity(self):\\n from .mockers import user_status as activity\\n username = 'messi'\\n username2 = 'xavi'\\n self.create_user(username)\\n self.create_user(username2)\\n res = self.testapp.post('/people/%s/activities' % username, json.dumps(activity), oauth2Header(username), status=201)\\n res = self.testapp.get('/activities/%s' % res.json['id'], '', oauth2Header(username2), status=200)\\n self.assertEqual(res.json['deletable'], False)\",\n \"def test_channel_removeowner_invalid_token_after_logout():\\n clear()\\n auth_register('randemail@gmail.com', 'password1234', 'Jane', 'Citizen')\\n register_second_result = auth_register('randemail2@gmail.com', 'password1234', 'Jane', 'Citizen')\\n register_third_result = auth_register('randemail3@gmail.com', 'password1234', 'Jane', 'Citizen')\\n randChannel_id = channels_create(register_second_result['token'], 'Random Channel', True)\\n channels_create(register_third_result['token'], 'Random Channel 2', True)\\n channel_addowner(register_second_result['token'], randChannel_id['channel_id'], register_third_result['u_id'])\\n auth_logout(register_second_result['token'])\\n with pytest.raises(AccessError):\\n assert channel_removeowner(register_second_result['token'], randChannel_id['channel_id'], register_third_result['u_id'])\",\n \"def teardown_volume_access( user_email, volume_name ):\\n client = connect_syndicate()\\n \\n # block the user from creating more gateways, and delete the gateways\\n try:\\n rc = client.remove_user_from_volume( user_email, volume_name )\\n assert rc is True, \\\"Failed to remove access right for %s in %s\\\" % (user_email, volume_name)\\n \\n except Exception, e:\\n logger.exception(e)\\n return False\\n \\n return True\",\n \"def test_delete_post_by_another_user(self):\\n url = reverse(\\n 'post-detail',\\n args=[\\n self.topic1.url_name,\\n self.post1.id\\n ]\\n )\\n self.client.credentials(\\n HTTP_AUTHORIZATION = 'Token ' + self.user2.auth_token.key\\n )\\n response = self.client.delete(url)\\n\\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)\\n deleted_post = Post.objects.filter(\\n id=self.post1.id,\\n )\\n self.assertTrue(deleted_post.exists())\",\n \"def test_remove_facility_pt2(self):\\n self.assertFalse(self.coach1.has_perm('auth.remove_facility'))\",\n \"def test_channel_removeowner_owner_flockr_not_member():\\n clear()\\n register_first_result = auth_register('randemail@gmail.com', 'password1234', 'Jane', 'Citizen')\\n register_second_result = auth_register('randemail2@gmail.com', 'password1234', 'Jane', 'Citizen')\\n register_third_result = auth_register('randemail3@gmail.com', 'password1234', 'Jane', 'Citizen')\\n randChannel_id = channels_create(register_second_result['token'], 'Random Channel', True)\\n channel_addowner(register_second_result['token'], randChannel_id['channel_id'], register_third_result['u_id'])\\n with pytest.raises(AccessError):\\n assert channel_removeowner(register_first_result['token'], randChannel_id['channel_id'], register_third_result['u_id'])\",\n \"def test_change_permission(self):\\r\\n self.assertTrue(self.creator_admin.has_change_permission(self.request))\\r\\n\\r\\n self.request.user = self.user\\r\\n self.assertFalse(self.creator_admin.has_change_permission(self.request))\",\n \"def test_delete_post_by_user(self):\\n\\n response = self.client.delete(reverse('api:posts-detail', kwargs={'pk': self.post1.id}))\\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)\",\n \"def test_not_logged_in(self):\\n\\n # test show album\\n self.perm_escalate_helper(self.albumcontrol, self.showalbumrequest, self.testalbum, self.testalbum.id,\\n AnonymousUser(), album.display_album, ALBUM_PUBLIC)\\n\\n # test photo view\\n self.perm_escalate_helper_get_with_client(self.albumcontrol, self.testalbum, self.photo.id,\\n \\\"photoid\\\", \\\"show_photo\\\", ALBUM_PUBLIC)\\n\\n # test individual photo view page\\n self.perm_escalate_helper(self.albumcontrol, self.indivphotorequest, self.testalbum, self.photo.id,\\n AnonymousUser(), album.display_photo, ALBUM_PUBLIC)\",\n \"def test_remove_is_staff(self):\\n self.user.is_staff = False\\n self.user.save()\\n self.user.refresh_from_db()\\n response = self.client.get(self.get_url())\\n self.assertEqual(response.status_code, 403)\",\n \"def test_remove_is_staff(self):\\n self.user.is_staff = False\\n self.user.save()\\n self.user.refresh_from_db()\\n response = self.client.get(self.get_url())\\n self.assertEqual(response.status_code, 403)\",\n \"def test_remove_is_staff(self):\\n self.user.is_staff = False\\n self.user.save()\\n self.user.refresh_from_db()\\n response = self.client.get(self.get_url())\\n self.assertEqual(response.status_code, 403)\",\n \"def test_permission_denied_no_permission(self):\\n\\n # Remove user from group ( added in setUpClass ) -> no permission\\n self.group.user_set.remove(self.user)\\n\\n c = suds.client.Client(\\n self.wsdl, username=self.username, password=self.password)\\n result_code, result_msg = c.service.getRecentAuditTrails()\\n self.assertEqual(result_code, 401)\",\n \"def unpublish_action(modeladmin, request, queryset):\\n\\n count = queryset.filter(published=True).update(published=False)\\n messages.info(request, f\\\"Unpublished {count} objects\\\")\",\n \"async def test_event_stream_requires_admin(\\n hass: HomeAssistant, mock_api_client: TestClient, hass_admin_user: MockUser\\n) -> None:\\n hass_admin_user.groups = []\\n resp = await mock_api_client.get(\\\"/api/stream\\\")\\n assert resp.status == HTTPStatus.UNAUTHORIZED\",\n \"def has_perm_publish_data(user):\\n has_perm_publish(user, rights.PUBLISH_DATA)\",\n \"def test_post_creation_unauthenticated(self):\\n url = reverse('post-list', args=[self.topic1.url_name])\\n payload = {\\n 'author': self.user1.id,\\n 'title': 'Creating a post while being unauthenticated',\\n 'content': 'Rich content 5',\\n }\\n response = self.client.post(url, payload)\\n\\n self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)\\n new_post = Post.objects.filter(\\n author=self.user1,\\n title=payload.get('title'),\\n content=payload.get('content'),\\n topic=self.topic1\\n )\\n self.assertFalse(new_post.exists())\",\n \"def test_only_edit_perm(self):\\n self.assertStatusCode(self.url, 403)\",\n \"def test_util_has_perm_or_owns_sanity(self):\\n me = User.objects.get(pk=118533)\\n my_t = Thread.objects.filter(creator=me)[0]\\n other_t = Thread.objects.exclude(creator=me)[0]\\n perm = 'forums_forum.thread_edit_forum'\\n allowed = access.has_perm_or_owns(me, perm, my_t, self.forum_1)\\n eq_(allowed, True)\\n allowed = access.has_perm_or_owns(me, perm, other_t, self.forum_1)\\n eq_(allowed, False)\",\n \"def test_handle_unassign_as_admin(self):\\r\\n def facade_retrieve_side_effect(*args, **kwargs):\\r\\n \\\"\\\"\\\"Return a side effect for the mock facade.\\\"\\\"\\\"\\r\\n if args[0] == Project:\\r\\n return Project(\\\"GTID\\\", [])\\r\\n elif args[0] == Team:\\r\\n team = Team(\\\"GTID\\\", \\\"team-name\\\", \\\"display-name\\\")\\r\\n return team\\r\\n else:\\r\\n calling_user = User(user)\\r\\n calling_user.permissions_level = Permissions.admin\\r\\n return calling_user\\r\\n self.mock_facade.retrieve.side_effect = facade_retrieve_side_effect\\r\\n with self.app.app_context():\\r\\n resp, code = \\\\\\r\\n self.testcommand.handle(\\\"project unassign 1\\\",\\r\\n user)\\r\\n assert (resp, code) == (\\\"Project successfully unassigned!\\\", 200)\",\n \"def test_remove_user(self):\\n pass\",\n \"def test_has_perm_post_delete(self):\\n self.context['request'].user = User.objects.get(pk=47963)\\n allowed = has_perm(self.context, 'forums_forum.post_delete_forum',\\n self.forum_1)\\n eq_(allowed, True)\\n allowed = has_perm(self.context, 'forums_forum.post_delete_forum',\\n self.forum_2)\\n eq_(allowed, False)\",\n \"def test_no_delete_permission(client):\\n user = user_with_permissions(\\\"polls.view_poll\\\")\\n poll = Poll.objects.create(owner=user, text=\\\"question\\\")\\n\\n url = reverse(\\\"admin:polls_poll_change\\\", args=(poll.pk,))\\n delete_url = reverse(\\\"admin:polls_poll_delete\\\", args=(poll.pk,))\\n client.force_login(user)\\n\\n response = client.get(url)\\n assert delete_url not in response.content.decode()\",\n \"def test_forbidden_non_dcc_analyst(self):\\n phenotype_taggers = Group.objects.get(name='dcc_analysts')\\n self.user.groups.remove(phenotype_taggers)\\n self.user.is_staff = False\\n self.user.save()\\n self.user.refresh_from_db()\\n response = self.client.get(self.get_url(self.trait.pk))\\n self.assertEqual(response.status_code, 403)\",\n \"def test_update_by_non_owner(self):\\n # User 1\\n saved1 = self.create_article()\\n article_url = saved1[0]\\n # get user2 details\\n token = self.create_article_user2()\\n response = self.test_client.put(article_url,self.article_update_data, format='json', HTTP_AUTHORIZATION=token)\\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)\",\n \"def test_remove_already_not_subbed(self) -> None:\\n result = self.attempt_unsubscribe_of_principal(\\n query_count=11,\\n target_users=[self.example_user(\\\"cordelia\\\")],\\n is_realm_admin=True,\\n is_subbed=False,\\n invite_only=False,\\n target_users_subbed=False,\\n )\\n json = self.assert_json_success(result)\\n self.assert_length(json[\\\"removed\\\"], 0)\\n self.assert_length(json[\\\"not_removed\\\"], 1)\",\n \"def test_delete_but_no_view_permission(client):\\n user = user_with_permissions(\\\"polls.delete_poll\\\")\\n\\n url = reverse(\\\"admin:index\\\")\\n client.force_login(user)\\n\\n response = client.get(url)\\n assert parse_sidemenu(response) == {\\\"Global\\\": [\\\"/en/admin/\\\"], \\\"Polls\\\": [None]}\",\n \"def unpublish(id):\\n db = core.connect()\\n theShift = db[id]\\n theShift[\\\"publishData\\\"][\\\"draft\\\"] = True\\n db[id] = theShift\",\n \"def test_get_non_owner(self):\\n another_user = CustomUser(id=101, email='another_user@mail.com', is_active=True)\\n another_user.set_password('testpassword')\\n another_user.save()\\n self.client.login(email='another_user@mail.com', password='testpassword')\\n\\n url = reverse('notification',\\n kwargs={'way_id': self.notification.way_id, 'notification_id': self.notification.id})\\n response = self.client.get(url)\\n self.assertEqual(response.status_code, 403)\",\n \"def test_unauthenticated_resource_allowed(self):\\n raise NotImplementedError # FIXME\",\n \"def testDeleteAccessAllowed(self):\\n for user in (self.contributor, self.delegate, self.owner, self.root):\\n SequencingMachine.objects.all().delete()\\n machine = self.make_machine()\\n self.assertEqual(SequencingMachine.objects.count(), 1)\\n response = self.runDelete(user, sequencer=machine.sodar_uuid)\\n self.response_204(response)\\n self.assertEqual(SequencingMachine.objects.count(), 0)\",\n \"def test_no_permission(self):\\n override_acl(self.user, {'can_use_private_threads': 0})\\n\\n response = self.client.get(self.api_link)\\n self.assertContains(response, \\\"t use private threads\\\", status_code=403)\",\n \"def test_auth_private_owned(self):\\n self.do_visible(True, 'pattieblack', False, tenant='pattieblack')\",\n \"def test_01_self_unshare_resource(self):\\n holes = self.holes\\n cat = self.cat\\n dog = self.dog\\n cat.uaccess.share_resource_with_user(holes, dog, PrivilegeCodes.CHANGE)\\n self.assertTrue(dog in holes.raccess.edit_users)\\n self.assertTrue(dog in holes.raccess.view_users)\\n self.assertTrue(\\n is_equal_to_as_set(\\n [dog],\\n dog.uaccess.get_resource_unshare_users(holes)))\\n dog.uaccess.unshare_resource_with_user(holes, dog)\\n self.assertFalse(dog in holes.raccess.edit_users)\\n self.assertFalse(dog in holes.raccess.view_users)\\n self.assertTrue(\\n is_equal_to_as_set(\\n [], dog.uaccess.get_resource_unshare_users(holes)))\",\n \"def test_unsubscribe_offer(self):\\n pass\",\n \"def perm_escalate_helper(self, albumcontrol, request, testalbum, id, user, func, level):\\n # assign anonymous user to requests\\n request.user = user\\n\\n albumcontrol.set_accesstype(testalbum, ALBUM_PUBLIC)\\n\\n if level >= ALBUM_PUBLIC:\\n response = func(request, id)\\n self.assertEqual(response.status_code, 200)\\n else:\\n self.assertRaises(PermissionException, func, request, id)\\n\\n albumcontrol.set_accesstype(testalbum, ALBUM_ALLFRIENDS)\\n\\n if level >= ALBUM_ALLFRIENDS:\\n response = func(request, id)\\n self.assertEqual(response.status_code, 200)\\n else:\\n self.assertRaises(PermissionException, func, request, id)\\n\\n albumcontrol.set_accesstype(testalbum, ALBUM_GROUPS)\\n\\n if level >= ALBUM_GROUPS:\\n response = func(request, id)\\n self.assertEqual(response.status_code, 200)\\n else:\\n self.assertRaises(PermissionException, func, request, id)\\n\\n albumcontrol.set_accesstype(testalbum, ALBUM_PRIVATE)\\n\\n if level >= ALBUM_PRIVATE:\\n response = func(request, id)\\n self.assertEqual(response.status_code, 200)\\n else:\\n self.assertRaises(PermissionException, func, request, id)\",\n \"def testNoPermission(self):\\n self.login_user(self.user)\\n response = self.client.get(self.url, self.args)\\n self.assertEqual(response.status_code, 302)\",\n \"def test_is_revoked_target(self):\\n self.site.mode = SITE_MODE_SOURCE\\n self.site.save()\\n self.assertEqual(self.project.is_revoked(), False)\\n self.remote_project.level = SODAR_CONSTANTS['REMOTE_LEVEL_REVOKED']\\n self.remote_project.save()\\n self.assertEqual(self.project.is_revoked(), True)\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.74638283","0.7355094","0.70630115","0.68820363","0.6800916","0.65782726","0.6507541","0.6507541","0.6506113","0.64861435","0.64700913","0.6458604","0.64489305","0.6434196","0.6426245","0.6423437","0.6409583","0.6387935","0.63756144","0.63734823","0.6311814","0.631075","0.6299216","0.62981373","0.6293595","0.6274235","0.6249999","0.62468886","0.6230356","0.62278897","0.61899525","0.61828893","0.6182266","0.61676437","0.61590934","0.6153941","0.6149655","0.6146407","0.61453","0.6144123","0.6142569","0.6132162","0.61167186","0.60942817","0.6091324","0.6090647","0.6074577","0.6070599","0.6056139","0.6028235","0.60253865","0.60253865","0.60204023","0.6018203","0.6015305","0.6006093","0.6003381","0.598976","0.59852934","0.5977628","0.5970869","0.59695244","0.59616417","0.59592277","0.59536475","0.5943423","0.5936072","0.59353477","0.59346354","0.59346354","0.59346354","0.5915834","0.5915063","0.59092796","0.5905484","0.5904138","0.58989644","0.58979446","0.5897509","0.5895835","0.58914334","0.5877655","0.5862355","0.58537364","0.58507526","0.58501154","0.58494127","0.5848471","0.58467555","0.58377546","0.58369905","0.5819412","0.5818022","0.5817535","0.5816512","0.58074725","0.5807037"],"string":"[\n \"0.74638283\",\n \"0.7355094\",\n \"0.70630115\",\n \"0.68820363\",\n \"0.6800916\",\n \"0.65782726\",\n \"0.6507541\",\n \"0.6507541\",\n \"0.6506113\",\n \"0.64861435\",\n \"0.64700913\",\n \"0.6458604\",\n \"0.64489305\",\n \"0.6434196\",\n \"0.6426245\",\n \"0.6423437\",\n \"0.6409583\",\n \"0.6387935\",\n \"0.63756144\",\n \"0.63734823\",\n \"0.6311814\",\n \"0.631075\",\n \"0.6299216\",\n \"0.62981373\",\n \"0.6293595\",\n \"0.6274235\",\n \"0.6249999\",\n \"0.62468886\",\n \"0.6230356\",\n \"0.62278897\",\n \"0.61899525\",\n \"0.61828893\",\n \"0.6182266\",\n \"0.61676437\",\n \"0.61590934\",\n \"0.6153941\",\n \"0.6149655\",\n \"0.6146407\",\n \"0.61453\",\n \"0.6144123\",\n \"0.6142569\",\n \"0.6132162\",\n \"0.61167186\",\n \"0.60942817\",\n \"0.6091324\",\n \"0.6090647\",\n \"0.6074577\",\n \"0.6070599\",\n \"0.6056139\",\n \"0.6028235\",\n \"0.60253865\",\n \"0.60253865\",\n \"0.60204023\",\n \"0.6018203\",\n \"0.6015305\",\n \"0.6006093\",\n \"0.6003381\",\n \"0.598976\",\n \"0.59852934\",\n \"0.5977628\",\n \"0.5970869\",\n \"0.59695244\",\n \"0.59616417\",\n \"0.59592277\",\n \"0.59536475\",\n \"0.5943423\",\n \"0.5936072\",\n \"0.59353477\",\n \"0.59346354\",\n \"0.59346354\",\n \"0.59346354\",\n \"0.5915834\",\n \"0.5915063\",\n \"0.59092796\",\n \"0.5905484\",\n \"0.5904138\",\n \"0.58989644\",\n \"0.58979446\",\n \"0.5897509\",\n \"0.5895835\",\n \"0.58914334\",\n \"0.5877655\",\n \"0.5862355\",\n \"0.58537364\",\n \"0.58507526\",\n \"0.58501154\",\n \"0.58494127\",\n \"0.5848471\",\n \"0.58467555\",\n \"0.58377546\",\n \"0.58369905\",\n \"0.5819412\",\n \"0.5818022\",\n \"0.5817535\",\n \"0.5816512\",\n \"0.58074725\",\n \"0.5807037\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.58224934"},"document_rank":{"kind":"string","value":"91"}}},{"rowIdx":86777,"cells":{"query":{"kind":"string","value":"Test that the unpublish button appears"},"document":{"kind":"string","value":"def test_unpublish_button_appears(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertContains(response, self.url)"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def test_no_unpublish_button_appears(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertNotContains(response, self.url)","def test_unpublish_as_publisher(self):\n e = self.make_event()\n e.published=True\n e.save()\n resp = self.request_with_role('/admin/events/unpublish/%s' % e.id, role='publisher',\n method='POST', follow_redirects=True)\n self.assertIn('Event unpublished', resp.data)\n self.assertEqual(resp.status_code, 200)\n self.assertEqual(Event.objects(published=False).count(), 1)","def test_unpublish_as_editor(self):\n e = self.make_event()\n e.published=True\n e.save()\n resp = self.request_with_role('/admin/events/unpublish/%s' % e.id, role='editor',\n method='POST')\n self.assertEqual(resp.status_code, 401)\n self.assertEqual(Event.objects(published=False).count(), 0)","def test_unpublish_event_as_publisher_when_event_does_not_exist(self):\n e = self.make_event()\n e.published=True\n e.save()\n other_id = ObjectId()\n resp = self.request_with_role('/admin/events/unpublish/%s' % other_id, role='publisher',\n method='POST', follow_redirects=True)\n self.assertIn('Invalid event id', resp.data)\n self.assertEqual(resp.status_code, 200)\n self.assertEqual(Event.objects(published=False).count(), 0)","def test_no_edit_button_appears(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertNotContains(response, self.url)","def _test_display_up_button(self):\n return (self.product_displays.top_index > 0)","def test_no_delete_button_appears_edit(self):\n response = self.client.get(reverse('wagtailnews:edit', kwargs={\n 'pk': self.index.pk, 'newsitem_pk': self.newsitem.pk}))\n self.assertNotContains(response, self.url)","def test_registration_closed_button(self):\n\n participation_block = self.event_page.participation_block\n self.assertFalse(participation_block.is_button_clickable())","def test_no_tagging_button(self):\n response = self.client.get(self.get_url(self.trait.pk))\n context = response.context\n self.assertNotContains(response, reverse('trait_browser:source:traits:tagging', kwargs={'pk': self.trait.pk}))\n self.assertFalse(context['show_tag_button'])","def test_that_not_logged_in_does_not_shows_edit_button(testapp):\n html = testapp.get('/journal/1').html\n assert not html.find('main').a","def unpublish_action(modeladmin, request, queryset):\n\n count = queryset.filter(published=True).update(published=False)\n messages.info(request, f\"Unpublished {count} objects\")","def test_no_add_button_appears(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertNotContains(response, self.url)","def test_delete_button_appears_edit(self):\n response = self.client.get(reverse('wagtailnews:edit', kwargs={\n 'pk': self.index.pk, 'newsitem_pk': self.newsitem.pk}))\n self.assertContains(response, self.url)","def test_delete_custom_button(self):\n pass","def website_publish_button(self):\n if self.website_published:\n self.write({'website_published': False})\n else:\n self.write({'website_published': True})","def test_unsubscribe_instructions(self):\n w = watch(save=True)\n template = Template('{% load unsubscribe_instructions %}'\n '{% unsubscribe_instructions watch %}')\n assert w.unsubscribe_url() in template.render(Context({'watch': w}))","def test_update_custom_button(self):\n pass","def btn_unfollow_clicked(self, widget, data=None):\n print \"unfollow clicked\"","def test_should_render_with_unpublished(self) -> None:\n self.assertFalse(self.action.should_render(\n context=self._create_request_context(public=False)))","def test_edit_button_appears(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertContains(response, self.url)","def test_no_tagging_button_if_deprecated(self):\n study_version = self.trait.source_dataset.source_study_version\n study_version.i_is_deprecated = True\n study_version.save()\n response = self.client.get(self.get_url(self.trait.pk))\n context = response.context\n self.assertFalse(context['show_tag_button'])\n self.assertNotContains(response, reverse('trait_browser:source:traits:tagging', kwargs={'pk': self.trait.pk}))","def test_no_tagging_button_if_deprecated(self):\n study_version = self.trait.source_dataset.source_study_version\n study_version.i_is_deprecated = True\n study_version.save()\n response = self.client.get(self.get_url(self.trait.pk))\n context = response.context\n self.assertFalse(context['show_tag_button'])\n self.assertNotContains(response, reverse('trait_browser:source:traits:tagging', kwargs={'pk': self.trait.pk}))","def test_empty_ui(self):","def unpublish_item_action(modeladmin, request, queryset):\n\n count = queryset.filter(published=True).update(published=False)\n asset_count = Asset.objects.filter(item__in=queryset, published=True).update(\n published=False\n )\n\n messages.info(request, f\"Unpublished {count} items and {asset_count} assets\")","def test_default_publish(self):\n self.assertIs(self.photo.published, 'Public')","def test_homepage_has_correct_buttons_showing_when_not_logged_in(testapp):\n html = testapp.get('/').html\n logout = html.find(class_=\"navbar-right\").text\n create = html.find(href=\"http://localhost/journal/new-entry\")\n assert logout == '\\n Login\\n'\n assert not create","def test_public_status_page_remove_authorization_from_public_status_page(self):\n pass","def test_valid_update_post_form_with_unpublish_article(\n self, proto_post, proto_user\n ):\n testfile = (\n b\"\\x47\\x49\\x46\\x38\\x39\\x61\\x01\\x00\\x01\\x00\\x00\\x00\\x00\\x21\\xf9\\x04\"\n b\"\\x01\\x0a\\x00\\x01\\x00\\x2c\\x00\\x00\\x00\\x00\\x01\\x00\\x01\\x00\\x00\\x02\"\n b\"\\x02\\x4c\\x01\\x00\\x3b\"\n )\n data = {\n \"title\": \"This is the modified title\",\n \"categories\": [36, 37],\n \"overview\": \"This is the modified overview\",\n \"content\": \"This is the modified content\",\n \"featured\": True,\n \"status\": 0,\n }\n form = EditForm(\n data,\n {\n \"thumbnail\": SimpleUploadedFile(\n \"small.gif\",\n testfile,\n content_type=\"image/gif\",\n )\n },\n )\n assert form.is_valid()","def test_should_render_for_owner_unpublished(self) -> None:\n self.assertTrue(self.action.should_render(\n context=self._create_request_context(\n public=False)))","def test_get_custom_button(self):\n pass","def test_delete_button_appears_index(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertContains(response, self.url)","def test_no_delete_button_appears_index(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertNotContains(response, self.url)","def unpublish(id):\n db = core.connect()\n theShift = db[id]\n theShift[\"publishData\"][\"draft\"] = True\n db[id] = theShift","def test_pending(self):\n actions = signoff_actions(appversions={\"code\": \"fx1.0\"},\n locales={\"code\": \"pl\"})\n actions = list(actions)\n eq_(len(actions), 1)\n so = Signoff.objects.get(action=actions[0][0])\n eq_(so.push.tip.shortrev, \"l10n pl 0003\")\n eq_(so.locale.code, \"pl\")\n eq_(so.action_set.count(), 1)","def test_recentactions_without_content_type(self):\n response = self.client.get(reverse(\"admin:index\"))\n link = reverse(\"admin:admin_utils_article_change\", args=(quote(self.a1.pk),))\n should_contain = \"\"\"<a href=\"%s\">%s</a>\"\"\" % (\n escape(link),\n escape(repr(self.a1)),\n )\n self.assertContains(response, should_contain)\n should_contain = \"Article\"\n self.assertContains(response, should_contain)\n logentry = LogEntry.objects.get(content_type__model__iexact=\"article\")\n # If the log entry doesn't have a content type it should still be\n # possible to view the Recent Actions part (#10275).\n logentry.content_type = None\n logentry.save()\n\n should_contain = should_contain.encode()\n counted_presence_before = response.content.count(should_contain)\n response = self.client.get(reverse(\"admin:index\"))\n counted_presence_after = response.content.count(should_contain)\n self.assertEqual(counted_presence_before - 1, counted_presence_after)","def test_filter_not_available_plugins(plugin_dialog_constructor):\n item = plugin_dialog_constructor.available_list.item(0)\n widget = plugin_dialog_constructor.available_list.itemWidget(item)\n if widget:\n assert not widget.action_button.isEnabled()\n assert widget.warning_tooltip.isVisible()\n\n item = plugin_dialog_constructor.available_list.item(1)\n widget = plugin_dialog_constructor.available_list.itemWidget(item)\n assert widget.action_button.isEnabled()\n assert not widget.warning_tooltip.isVisible()","def test_unsubscribe_offer(self):\n pass","def test_add_button_appears(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertContains(response, self.url)","def soft_assert_cannot_make_proposal(info_page, soft_assert):\n soft_assert.expect(not info_page.is_propose_changes_btn_exists,\n \"'Propose Changes' button should not be displayed.\")","def test_has_tagging_button(self):\n response = self.client.get(self.get_url(self.trait.pk))\n context = response.context\n self.assertTrue(context['show_tag_button'])\n self.assertContains(response, reverse('trait_browser:source:traits:tagging', kwargs={'pk': self.trait.pk}))","def test_has_tagging_button(self):\n response = self.client.get(self.get_url(self.trait.pk))\n context = response.context\n self.assertTrue(context['show_tag_button'])\n self.assertContains(response, reverse('trait_browser:source:traits:tagging', kwargs={'pk': self.trait.pk}))","def test_create_custom_button(self):\n pass","def test_public_status_page_delete_public_status_page(self):\n pass","def test_valid_add_post_form_with_unpublish_article(\n self, proto_post, proto_user\n ):\n testfile = (\n b\"\\x47\\x49\\x46\\x38\\x39\\x61\\x01\\x00\\x01\\x00\\x00\\x00\\x00\\x21\\xf9\\x04\"\n b\"\\x01\\x0a\\x00\\x01\\x00\\x2c\\x00\\x00\\x00\\x00\\x01\\x00\\x01\\x00\\x00\\x02\"\n b\"\\x02\\x4c\\x01\\x00\\x3b\"\n )\n data = {\n \"title\": \"This is the added title\",\n \"author\": proto_user,\n \"categories\": [6, 7],\n \"overview\": \"This is the added overview\",\n \"content\": \"This is the added content\",\n \"featured\": True,\n \"status\": 0,\n }\n form = PostForm(\n data,\n {\n \"thumbnail\": SimpleUploadedFile(\n \"small.gif\",\n testfile,\n content_type=\"image/gif\",\n )\n },\n )\n assert form.is_valid()","def test_chooser_has_perms_no_news(self):\n response = self.client.get(reverse('wagtailnews:choose'))\n self.assertEqual(response.status_code, 200)","async def test_availability_without_topic(\n hass: HomeAssistant, mqtt_mock_entry: MqttMockHAClientGenerator\n) -> None:\n await help_test_availability_without_topic(\n hass, mqtt_mock_entry, select.DOMAIN, DEFAULT_CONFIG\n )","def check_deletable(self):\n item = self.albums_artists.currentItem()\n self.delete_button.setEnabled(False)\n if item in self.new_artists:\n self.delete_button.setEnabled(True)","def test_unlike_topic_viewset(self):\n\n topic = TopicFactory(author=self.user)\n self.client.post(reverse('api:topics-like', kwargs={'topic_id': topic.id}))\n response = self.client.post(reverse('api:topics-unlike', kwargs={'topic_id': topic.id}))\n self.assertEqual(response.status_code, status.HTTP_200_OK)\n obj_type = ContentType.objects.get_for_model(topic)\n likes = Like.objects.filter(\n content_type=obj_type, object_id=topic.id, user=self.user)\n self.assertFalse(likes.exists())","def test_is_preview(self):\r\n self.assertTrue(self.unit.q(css=\".discussion-preview\").present)\r\n self.assertFalse(self.unit.q(css=\".discussion-show\").present)","def dnt_share_app():\r\n msg, status = \"\", True\r\n try:\r\n\r\n 'Click on Do not share button'\r\n flag1 = ui_controls.button(get_obj_identifier('a'))\r\n #flag2 = ui_controls.button(get_obj_identifier('share_dontShare_btn'))\r\n \r\n \r\n\r\n status = False if not(flag1) else True\r\n except Exception as excp:\r\n traceback.print_exc()\r\n msg += str(excp)\r\n status = False\r\n return status, msg","def test_unshare_template_registration(self):\n pass","def test_can_not_add_more(self):\n set_up_one_user(self, 1, 0)\n login = self.client.login(username='test', password='2HJ1vRV0Z&3iD')\n response = self.client.get(reverse('index'))\n self.assertEqual(response.status_code, 200)\n self.assertContains(response, '<button id=\"modalButton\" type=\"button\" class=\"btn btn-info\" data-toggle=\"modal\" data-target=\"#myModal\" disabled=\"True\">Add new notification</button>')","def _clicked_no_button(self):\n self.yes = False","def test_upload_step__cancel(self):\n # Set Up\n self.go_to_step(FeedUpdateWizard.UPLOAD_STEP)\n\n # Test\n response = self.client.post(\n self.WIZARD_URL,\n {\n self.WIZARD_CURRENT_STEP: FeedUpdateWizard.UPLOAD_STEP,\n \"cancel\": \"cancel\",\n },\n )\n\n # Assert\n self.assertEqual(response.status_code, 200)\n response.context_data[\"wizard\"][\"form\"].errors.get_json_data()\n assert \"publish/feed_publish_cancel.html\" in [\n t.name for t in response.templates\n ]","def test_publish_with_delete_screenshot(self):\n user = User.objects.create_user(username='testuser')\n review_request = self.create_review_request(target_people=[user])\n attachment = self.create_screenshot(review_request,\n caption='File 1')\n review_request.publish(review_request.submitter)\n\n draft = ReviewRequestDraft.create(review_request)\n self.assertEqual(draft.screenshots_count, 1)\n self.assertEqual(draft.inactive_screenshots_count, 0)\n self.assertEqual(review_request.screenshots_count, 1)\n self.assertEqual(review_request.inactive_screenshots_count, 0)\n\n draft.screenshots.remove(attachment)\n draft.inactive_screenshots.add(attachment)\n\n self.assertEqual(draft.screenshots_count, 0)\n self.assertEqual(draft.inactive_screenshots_count, 1)\n self.assertEqual(review_request.screenshots_count, 1)\n self.assertEqual(review_request.inactive_screenshots_count, 0)\n\n changes = draft.publish()\n fields = changes.fields_changed\n\n self.assertEqual(fields['screenshots'], {\n 'new': [],\n 'added': [],\n 'old': [\n (attachment.caption,\n attachment.get_absolute_url(),\n attachment.pk),\n ],\n 'removed': [\n (attachment.caption,\n attachment.get_absolute_url(),\n attachment.pk),\n ],\n })\n self.assertEqual(review_request.screenshots_count, 0)\n self.assertEqual(review_request.inactive_screenshots_count, 1)","def test_remove_plugin_before_published(self):\n # add a page\n page_data = self.get_new_page_data()\n response = self.client.post(URL_CMS_PAGE_ADD, page_data)\n page = Page.objects.all()[0]\n\n # add a plugin\n plugin_data = {\n 'plugin_type':\"TextPlugin\",\n 'language':settings.LANGUAGES[0][0],\n 'placeholder':page.placeholders.get(slot=\"body\").pk,\n }\n response = self.client.post(URL_CMS_PLUGIN_ADD, plugin_data)\n self.assertEquals(response.status_code, 200)\n self.assertEquals(int(response.content), CMSPlugin.objects.all()[0].pk)\n # there should be only 1 plugin\n self.assertEquals(CMSPlugin.objects.all().count(), 1)\n\n # delete the plugin\n plugin_data = {\n 'plugin_id': int(response.content)\n }\n remove_url = URL_CMS_PLUGIN_REMOVE\n response = self.client.post(remove_url, plugin_data)\n self.assertEquals(response.status_code, 200)\n # there should be no plugins\n self.assertEquals(0, CMSPlugin.objects.all().count())","def toggle_test():\n path = path_test\n if (os.path.isfile(path)):\n os.remove(path)\n button_test.configure(text=\"Appuyer sur le bouton de test\")\n print(\"Bouton test relâché\")\n\n else:\n open(path, 'a').close()\n button_test.configure(text=\"Relâcher le bouton de test\")\n print(\"Bouton test enfoncé\")","def _test_display_down_button(self):\n return (self.product_displays.top_index + self.limits.screen_products) < len(self.product_displays)","def test_unarchive_run(self):\n pass","def hide_main_buttons(self):\n pass","def test_rejected(self):\n actions = signoff_actions(appversions={\"code\": \"fx1.0\"},\n locales={\"code\": \"fr\"})\n actions = list(actions)\n eq_(len(actions), 1)\n eq_(actions[0][1], Action.REJECTED)\n so = Signoff.objects.get(action=actions[0][0])\n eq_(so.push.tip.shortrev, \"l10n fr 0003\")\n eq_(so.locale.code, \"fr\")\n eq_(so.action_set.count(), 2)","def test_should_render_user_with_can_change_status_and_unpublished(\n self,\n ) -> None:\n self.assertFalse(self.action.should_render(\n context=self._create_request_context(\n can_change_status=True,\n public=False,\n user=self.create_user())))","def test_unpopular(self):\n self.assertFalse(self.user3.is_popular())\n self.user3.receive_upvotes(randint(101, 10000))\n self.assertTrue(self.user3.is_popular())","def unhide(self):\n self.course.quick_action(self.id, 'show')","def test_is_revoked(self):\n self.assertEqual(self.project.is_revoked(), False)","async def user_unbanned_button(self, payload: discord.RawReactionActionEvent) -> None:\n\n self.bits = flip_action_bits(LoggingActions.USER_UNBANNED, self.bits)\n await self.update_embed()","def test_visible_widgets(plugin_dialog):\n\n assert plugin_dialog.direct_entry_edit.isVisible()\n assert plugin_dialog.direct_entry_btn.isVisible()","def remove_autoposting():\n try:\n autopost_delete = driver.find_element_by_class_name('btn-outline-danger')\n autopost_delete.click()\n click_on('delete')\n wait()\n except Exception as e:\n return \"Error: \" + str(e)\n return \"Success\"","def test_button(self):\n callback = CallbackCounter()\n display = get_display(0)\n button = FakeButton()\n display.register_onpress(button, callback)\n assert callback == 0\n display.read()\n assert callback == 0\n button.value = True\n display.read()\n assert callback == 1\n for i in range(200):\n display.read()\n assert callback == 1","def test_accepted(self):\n actions = signoff_actions(appversions={\"code\": \"fx1.0\"},\n locales={\"code\": \"de\"})\n actions = list(actions)\n eq_(len(actions), 1)\n so = Signoff.objects.get(action=actions[0][0])\n eq_(so.push.tip.shortrev, \"l10n de 0002\")\n eq_(so.locale.code, \"de\")\n eq_(so.action_set.count(), 2)","def test_constructor_visible_widgets(plugin_dialog_constructor):\n assert not plugin_dialog_constructor.direct_entry_edit.isVisible()\n assert not plugin_dialog_constructor.direct_entry_btn.isVisible()","def test_delete_subscription_template(self):\n pass","def test_homepage_has_correct_buttons_showing_when_logged_in(testapp):\n resp = testapp.post('/login',\n params={'Username': 'amos',\n 'Password': 'password'}).follow().html\n logout = resp.find(class_=\"navbar-right\").text\n create = resp.find(href=\"http://localhost/journal/new-entry\").text\n assert logout == '\\n Logout\\n'\n assert create == 'Create New Entry'","def test_publish_without_summary(self):\n review_request = self.create_review_request()\n draft = ReviewRequestDraft.create(review_request)\n\n target_person = User.objects.get(username='doc')\n\n draft.description = 'New description'\n draft.testing_done = 'New testing done'\n draft.branch = 'New branch'\n draft.bugs_closed = '12, 34, 56'\n draft.target_people.add(target_person)\n # Summary is set by default in create_review_request\n draft.summary = ''\n\n error_message = 'The draft must have a summary.'\n\n with self.assertRaisesMessage(PublishError, error_message):\n draft.publish()","def onShowed(self):\n self.parent.actionTagTwo=\"\"\n pass","def collection_delete_confirm_btn(self):\n collection_delete_confirm_btn_sitem = self.locator_finder_by_xpath(self.collection_delete_confirm_btn_id)\n collection_delete_confirm_btn_sitem.click()\n time.sleep(1)","def test_no_tagged_trait_remove_buttons_if_confirmed(self):\n tagged_traits = TaggedTraitFactory.create_batch(3, trait=self.trait)\n dcc_review = DCCReviewFactory.create(tagged_trait=tagged_traits[0], status=DCCReview.STATUS_CONFIRMED)\n response = self.client.get(self.get_url(self.trait.pk))\n context = response.context\n for (a, b) in context['tagged_traits_with_xs']:\n if a == dcc_review.tagged_trait:\n self.assertFalse(b)\n else:\n self.assertTrue(b)\n self.assertNotContains(response, reverse('tags:tagged-traits:pk:delete', kwargs={'pk': tagged_traits[0].pk}))\n self.assertContains(response, reverse('tags:tagged-traits:pk:delete', kwargs={'pk': tagged_traits[1].pk}))","def test_logout(self):\n\n result = self.client.get(\"logout\", follow_redirects=True)\n self.assertIn(\"<h1 class=\\\"title\\\">Bark Park!</h1>\", result.data)","def test_no_tagged_trait_remove_button_for_other_study(self):\n other_trait = factories.SourceTraitFactory.create()\n tagged_trait = TaggedTrait.objects.create(tag=self.tag, trait=other_trait, creator=self.user)\n response = self.client.get(self.get_url(other_trait.pk))\n context = response.context\n for (a, b) in context['tagged_traits_with_xs']:\n self.assertFalse(b)\n self.assertNotContains(response, reverse('tags:tagged-traits:pk:delete', kwargs={'pk': self.tag.pk}))","def test_no_tagged_trait_remove_buttons_if_reviewed(self):\n tagged_traits = TaggedTraitFactory.create_batch(3, trait=self.trait)\n dcc_review = DCCReviewFactory.create(tagged_trait=tagged_traits[0], status=DCCReview.STATUS_FOLLOWUP)\n response = self.client.get(self.get_url(self.trait.pk))\n context = response.context\n for (a, b) in context['tagged_traits_with_xs']:\n if a == dcc_review.tagged_trait:\n self.assertFalse(b)\n else:\n self.assertTrue(b)\n self.assertNotContains(response, reverse('tags:tagged-traits:pk:delete', kwargs={'pk': tagged_traits[0].pk}))\n self.assertContains(response, reverse('tags:tagged-traits:pk:delete', kwargs={'pk': tagged_traits[1].pk}))","def test_reset_button_works_on_initial_page(self):\n response = self.client.get(self.get_url(self.study.pk), {'reset': 'Reset'}, follow=True)\n context = response.context\n self.assertIn('form', context)\n self.assertFalse(context['form'].is_bound)\n self.assertFalse(context['has_results'])\n self.assertIn('results_table', context)\n self.assertEqual(len(context['results_table'].rows), 0)","def test_reset_button_works_on_initial_page(self):\n response = self.client.get(self.get_url(self.study.pk), {'reset': 'Reset'}, follow=True)\n context = response.context\n self.assertIn('form', context)\n self.assertFalse(context['form'].is_bound)\n self.assertFalse(context['has_results'])\n self.assertIn('results_table', context)\n self.assertEqual(len(context['results_table'].rows), 0)","def canUnpublish(id, userId):\n db = core.connect()\n theShift = db[id]\n return user.isAdmin(userId) or (userId == theShift['createdBy'])","def test_no_tagged_trait_remove_buttons_if_reviewed(self):\n tagged_traits = TaggedTraitFactory.create_batch(3, trait=self.trait)\n dcc_review = DCCReviewFactory.create(\n tagged_trait=tagged_traits[0], status=DCCReview.STATUS_FOLLOWUP)\n response = self.client.get(self.get_url(self.trait.pk))\n context = response.context\n for (a, b) in context['tagged_traits_with_xs']:\n if a == dcc_review.tagged_trait:\n self.assertFalse(b)\n else:\n self.assertTrue(b)\n self.assertNotContains(response, reverse('tags:tagged-traits:pk:delete', kwargs={'pk': tagged_traits[0].pk}))\n self.assertContains(response, reverse('tags:tagged-traits:pk:delete', kwargs={'pk': tagged_traits[1].pk}))","def test_no_tagged_trait_remove_buttons_if_confirmed(self):\n tagged_traits = TaggedTraitFactory.create_batch(3, trait=self.trait)\n dcc_review = DCCReviewFactory.create(\n tagged_trait=tagged_traits[0], status=DCCReview.STATUS_CONFIRMED)\n response = self.client.get(self.get_url(self.trait.pk))\n context = response.context\n for (a, b) in context['tagged_traits_with_xs']:\n if a == dcc_review.tagged_trait:\n self.assertFalse(b)\n else:\n self.assertTrue(b)\n self.assertNotContains(response, reverse('tags:tagged-traits:pk:delete', kwargs={'pk': tagged_traits[0].pk}))\n self.assertContains(response, reverse('tags:tagged-traits:pk:delete', kwargs={'pk': tagged_traits[1].pk}))","def test_admin_signup_visibility(app, resource):\n with app.admin(nethz='somethingsomething'):\n headers = {'If-Match': 'Wrong'}\n\n # Create fake signup with different nethz\n other = str(app.data.driver.db[resource].insert({'nethz': 'trolo'}))\n\n # Resource: Can see signups\n response = app.client.get('/' + resource,\n headers=headers,\n assert_status=200)\n assert len(response['_items']) == 1\n\n # Items\n url = '/%s/%s' % (resource, other)\n\n # Get\n app.client.get(url, headers=headers, assert_status=200)\n\n # Patch (if we can see item, we get 412 since etag is wrong)\n app.client.patch(url, headers=headers, data={}, assert_status=412)\n\n # Delete (etag missing again)\n app.client.delete(url, headers=headers, assert_status=412)","def killSubscribers(self):\n if (self.off_TB1_Viewer.isChecked()):\n pass","def clearButton(self):\n\n\t\traise foundations.exceptions.ProgrammingError(\n\t\t\"{0} | '{1}' attribute is not deletable!\".format(self.__class__.__name__, \"clearButton\"))","async def test_flow_link_button_not_pressed(hass: HomeAssistant) -> None:\n disc_bridge = get_discovered_bridge()\n with patch(\n \"homeassistant.components.hue.config_flow.discover_nupnp\",\n return_value=[disc_bridge],\n ):\n result = await hass.config_entries.flow.async_init(\n const.DOMAIN, context={\"source\": config_entries.SOURCE_USER}\n )\n\n with patch.object(config_flow, \"create_app_key\", side_effect=LinkButtonNotPressed):\n result = await hass.config_entries.flow.async_configure(\n result[\"flow_id\"], user_input={\"id\": disc_bridge.id}\n )\n\n result = await hass.config_entries.flow.async_configure(\n result[\"flow_id\"], user_input={}\n )\n\n assert result[\"type\"] == \"form\"\n assert result[\"step_id\"] == \"link\"\n assert result[\"errors\"] == {\"base\": \"register_failed\"}","def test_no_tagged_trait_remove_button(self):\n tagged_traits = TaggedTraitFactory.create_batch(3, trait=self.trait)\n response = self.client.get(self.get_url(self.trait.pk))\n context = response.context\n for (a, b) in context['tagged_traits_with_xs']:\n self.assertFalse(b)\n for tt in tagged_traits:\n self.assertNotContains(response, reverse('tags:tagged-traits:pk:delete', kwargs={'pk': tt.pk}))","def test_unload(self):\n self.instance.load()\n self.assertIsNotNone(self.instance._author)\n self.instance.unload()\n self.assertIsNone(self.instance._author)","def test_has_tagged_trait_remove_buttons(self):\n tagged_traits = TaggedTraitFactory.create_batch(2, trait=self.trait)\n response = self.client.get(self.get_url(self.trait.pk))\n context = response.context\n for (a, b) in context['tagged_traits_with_xs']:\n self.assertTrue(b)\n for tt in tagged_traits:\n self.assertContains(response, reverse('tags:tagged-traits:pk:delete', kwargs={'pk': tt.pk}))","def test_has_tagged_trait_remove_buttons(self):\n tagged_traits = TaggedTraitFactory.create_batch(2, trait=self.trait)\n response = self.client.get(self.get_url(self.trait.pk))\n context = response.context\n for (a, b) in context['tagged_traits_with_xs']:\n self.assertTrue(b)\n for tt in tagged_traits:\n self.assertContains(response, reverse('tags:tagged-traits:pk:delete', kwargs={'pk': tt.pk}))","def test_registration_form_deleted(dummy_regform, api_delete, api_post):\n dummy_regform.is_deleted = True\n signals.event.registration_form_deleted.send(dummy_regform)\n assert api_delete.call_count == 1\n assert api_post.call_count == 0","def test_registration_form_deleted(dummy_regform, api_delete, api_post):\n dummy_regform.is_deleted = True\n signals.event.registration_form_deleted.send(dummy_regform)\n assert api_delete.call_count == 1\n assert api_post.call_count == 0","def test_publish_scenario_to_composition(self):\n pass","def test_not_logged_in(self):\n\n # test show album\n self.perm_escalate_helper(self.albumcontrol, self.showalbumrequest, self.testalbum, self.testalbum.id,\n AnonymousUser(), album.display_album, ALBUM_PUBLIC)\n\n # test photo view\n self.perm_escalate_helper_get_with_client(self.albumcontrol, self.testalbum, self.photo.id,\n \"photoid\", \"show_photo\", ALBUM_PUBLIC)\n\n # test individual photo view page\n self.perm_escalate_helper(self.albumcontrol, self.indivphotorequest, self.testalbum, self.photo.id,\n AnonymousUser(), album.display_photo, ALBUM_PUBLIC)","def test_user_actions_post(self):\n pass","def test_show_on_homepage(self) -> None:\n self.assert_show_on_homepage(apps.wakeup.main.Controller)","def unfollow_profile(self):\n self.find_clickable_element(self.ISFOLLOWED_BTN).click()"],"string":"[\n \"def test_no_unpublish_button_appears(self):\\n response = self.client.get(reverse('wagtailnews:index', kwargs={\\n 'pk': self.index.pk}))\\n self.assertNotContains(response, self.url)\",\n \"def test_unpublish_as_publisher(self):\\n e = self.make_event()\\n e.published=True\\n e.save()\\n resp = self.request_with_role('/admin/events/unpublish/%s' % e.id, role='publisher',\\n method='POST', follow_redirects=True)\\n self.assertIn('Event unpublished', resp.data)\\n self.assertEqual(resp.status_code, 200)\\n self.assertEqual(Event.objects(published=False).count(), 1)\",\n \"def test_unpublish_as_editor(self):\\n e = self.make_event()\\n e.published=True\\n e.save()\\n resp = self.request_with_role('/admin/events/unpublish/%s' % e.id, role='editor',\\n method='POST')\\n self.assertEqual(resp.status_code, 401)\\n self.assertEqual(Event.objects(published=False).count(), 0)\",\n \"def test_unpublish_event_as_publisher_when_event_does_not_exist(self):\\n e = self.make_event()\\n e.published=True\\n e.save()\\n other_id = ObjectId()\\n resp = self.request_with_role('/admin/events/unpublish/%s' % other_id, role='publisher',\\n method='POST', follow_redirects=True)\\n self.assertIn('Invalid event id', resp.data)\\n self.assertEqual(resp.status_code, 200)\\n self.assertEqual(Event.objects(published=False).count(), 0)\",\n \"def test_no_edit_button_appears(self):\\n response = self.client.get(reverse('wagtailnews:index', kwargs={\\n 'pk': self.index.pk}))\\n self.assertNotContains(response, self.url)\",\n \"def _test_display_up_button(self):\\n return (self.product_displays.top_index > 0)\",\n \"def test_no_delete_button_appears_edit(self):\\n response = self.client.get(reverse('wagtailnews:edit', kwargs={\\n 'pk': self.index.pk, 'newsitem_pk': self.newsitem.pk}))\\n self.assertNotContains(response, self.url)\",\n \"def test_registration_closed_button(self):\\n\\n participation_block = self.event_page.participation_block\\n self.assertFalse(participation_block.is_button_clickable())\",\n \"def test_no_tagging_button(self):\\n response = self.client.get(self.get_url(self.trait.pk))\\n context = response.context\\n self.assertNotContains(response, reverse('trait_browser:source:traits:tagging', kwargs={'pk': self.trait.pk}))\\n self.assertFalse(context['show_tag_button'])\",\n \"def test_that_not_logged_in_does_not_shows_edit_button(testapp):\\n html = testapp.get('/journal/1').html\\n assert not html.find('main').a\",\n \"def unpublish_action(modeladmin, request, queryset):\\n\\n count = queryset.filter(published=True).update(published=False)\\n messages.info(request, f\\\"Unpublished {count} objects\\\")\",\n \"def test_no_add_button_appears(self):\\n response = self.client.get(reverse('wagtailnews:index', kwargs={\\n 'pk': self.index.pk}))\\n self.assertNotContains(response, self.url)\",\n \"def test_delete_button_appears_edit(self):\\n response = self.client.get(reverse('wagtailnews:edit', kwargs={\\n 'pk': self.index.pk, 'newsitem_pk': self.newsitem.pk}))\\n self.assertContains(response, self.url)\",\n \"def test_delete_custom_button(self):\\n pass\",\n \"def website_publish_button(self):\\n if self.website_published:\\n self.write({'website_published': False})\\n else:\\n self.write({'website_published': True})\",\n \"def test_unsubscribe_instructions(self):\\n w = watch(save=True)\\n template = Template('{% load unsubscribe_instructions %}'\\n '{% unsubscribe_instructions watch %}')\\n assert w.unsubscribe_url() in template.render(Context({'watch': w}))\",\n \"def test_update_custom_button(self):\\n pass\",\n \"def btn_unfollow_clicked(self, widget, data=None):\\n print \\\"unfollow clicked\\\"\",\n \"def test_should_render_with_unpublished(self) -> None:\\n self.assertFalse(self.action.should_render(\\n context=self._create_request_context(public=False)))\",\n \"def test_edit_button_appears(self):\\n response = self.client.get(reverse('wagtailnews:index', kwargs={\\n 'pk': self.index.pk}))\\n self.assertContains(response, self.url)\",\n \"def test_no_tagging_button_if_deprecated(self):\\n study_version = self.trait.source_dataset.source_study_version\\n study_version.i_is_deprecated = True\\n study_version.save()\\n response = self.client.get(self.get_url(self.trait.pk))\\n context = response.context\\n self.assertFalse(context['show_tag_button'])\\n self.assertNotContains(response, reverse('trait_browser:source:traits:tagging', kwargs={'pk': self.trait.pk}))\",\n \"def test_no_tagging_button_if_deprecated(self):\\n study_version = self.trait.source_dataset.source_study_version\\n study_version.i_is_deprecated = True\\n study_version.save()\\n response = self.client.get(self.get_url(self.trait.pk))\\n context = response.context\\n self.assertFalse(context['show_tag_button'])\\n self.assertNotContains(response, reverse('trait_browser:source:traits:tagging', kwargs={'pk': self.trait.pk}))\",\n \"def test_empty_ui(self):\",\n \"def unpublish_item_action(modeladmin, request, queryset):\\n\\n count = queryset.filter(published=True).update(published=False)\\n asset_count = Asset.objects.filter(item__in=queryset, published=True).update(\\n published=False\\n )\\n\\n messages.info(request, f\\\"Unpublished {count} items and {asset_count} assets\\\")\",\n \"def test_default_publish(self):\\n self.assertIs(self.photo.published, 'Public')\",\n \"def test_homepage_has_correct_buttons_showing_when_not_logged_in(testapp):\\n html = testapp.get('/').html\\n logout = html.find(class_=\\\"navbar-right\\\").text\\n create = html.find(href=\\\"http://localhost/journal/new-entry\\\")\\n assert logout == '\\\\n Login\\\\n'\\n assert not create\",\n \"def test_public_status_page_remove_authorization_from_public_status_page(self):\\n pass\",\n \"def test_valid_update_post_form_with_unpublish_article(\\n self, proto_post, proto_user\\n ):\\n testfile = (\\n b\\\"\\\\x47\\\\x49\\\\x46\\\\x38\\\\x39\\\\x61\\\\x01\\\\x00\\\\x01\\\\x00\\\\x00\\\\x00\\\\x00\\\\x21\\\\xf9\\\\x04\\\"\\n b\\\"\\\\x01\\\\x0a\\\\x00\\\\x01\\\\x00\\\\x2c\\\\x00\\\\x00\\\\x00\\\\x00\\\\x01\\\\x00\\\\x01\\\\x00\\\\x00\\\\x02\\\"\\n b\\\"\\\\x02\\\\x4c\\\\x01\\\\x00\\\\x3b\\\"\\n )\\n data = {\\n \\\"title\\\": \\\"This is the modified title\\\",\\n \\\"categories\\\": [36, 37],\\n \\\"overview\\\": \\\"This is the modified overview\\\",\\n \\\"content\\\": \\\"This is the modified content\\\",\\n \\\"featured\\\": True,\\n \\\"status\\\": 0,\\n }\\n form = EditForm(\\n data,\\n {\\n \\\"thumbnail\\\": SimpleUploadedFile(\\n \\\"small.gif\\\",\\n testfile,\\n content_type=\\\"image/gif\\\",\\n )\\n },\\n )\\n assert form.is_valid()\",\n \"def test_should_render_for_owner_unpublished(self) -> None:\\n self.assertTrue(self.action.should_render(\\n context=self._create_request_context(\\n public=False)))\",\n \"def test_get_custom_button(self):\\n pass\",\n \"def test_delete_button_appears_index(self):\\n response = self.client.get(reverse('wagtailnews:index', kwargs={\\n 'pk': self.index.pk}))\\n self.assertContains(response, self.url)\",\n \"def test_no_delete_button_appears_index(self):\\n response = self.client.get(reverse('wagtailnews:index', kwargs={\\n 'pk': self.index.pk}))\\n self.assertNotContains(response, self.url)\",\n \"def unpublish(id):\\n db = core.connect()\\n theShift = db[id]\\n theShift[\\\"publishData\\\"][\\\"draft\\\"] = True\\n db[id] = theShift\",\n \"def test_pending(self):\\n actions = signoff_actions(appversions={\\\"code\\\": \\\"fx1.0\\\"},\\n locales={\\\"code\\\": \\\"pl\\\"})\\n actions = list(actions)\\n eq_(len(actions), 1)\\n so = Signoff.objects.get(action=actions[0][0])\\n eq_(so.push.tip.shortrev, \\\"l10n pl 0003\\\")\\n eq_(so.locale.code, \\\"pl\\\")\\n eq_(so.action_set.count(), 1)\",\n \"def test_recentactions_without_content_type(self):\\n response = self.client.get(reverse(\\\"admin:index\\\"))\\n link = reverse(\\\"admin:admin_utils_article_change\\\", args=(quote(self.a1.pk),))\\n should_contain = \\\"\\\"\\\"<a href=\\\"%s\\\">%s</a>\\\"\\\"\\\" % (\\n escape(link),\\n escape(repr(self.a1)),\\n )\\n self.assertContains(response, should_contain)\\n should_contain = \\\"Article\\\"\\n self.assertContains(response, should_contain)\\n logentry = LogEntry.objects.get(content_type__model__iexact=\\\"article\\\")\\n # If the log entry doesn't have a content type it should still be\\n # possible to view the Recent Actions part (#10275).\\n logentry.content_type = None\\n logentry.save()\\n\\n should_contain = should_contain.encode()\\n counted_presence_before = response.content.count(should_contain)\\n response = self.client.get(reverse(\\\"admin:index\\\"))\\n counted_presence_after = response.content.count(should_contain)\\n self.assertEqual(counted_presence_before - 1, counted_presence_after)\",\n \"def test_filter_not_available_plugins(plugin_dialog_constructor):\\n item = plugin_dialog_constructor.available_list.item(0)\\n widget = plugin_dialog_constructor.available_list.itemWidget(item)\\n if widget:\\n assert not widget.action_button.isEnabled()\\n assert widget.warning_tooltip.isVisible()\\n\\n item = plugin_dialog_constructor.available_list.item(1)\\n widget = plugin_dialog_constructor.available_list.itemWidget(item)\\n assert widget.action_button.isEnabled()\\n assert not widget.warning_tooltip.isVisible()\",\n \"def test_unsubscribe_offer(self):\\n pass\",\n \"def test_add_button_appears(self):\\n response = self.client.get(reverse('wagtailnews:index', kwargs={\\n 'pk': self.index.pk}))\\n self.assertContains(response, self.url)\",\n \"def soft_assert_cannot_make_proposal(info_page, soft_assert):\\n soft_assert.expect(not info_page.is_propose_changes_btn_exists,\\n \\\"'Propose Changes' button should not be displayed.\\\")\",\n \"def test_has_tagging_button(self):\\n response = self.client.get(self.get_url(self.trait.pk))\\n context = response.context\\n self.assertTrue(context['show_tag_button'])\\n self.assertContains(response, reverse('trait_browser:source:traits:tagging', kwargs={'pk': self.trait.pk}))\",\n \"def test_has_tagging_button(self):\\n response = self.client.get(self.get_url(self.trait.pk))\\n context = response.context\\n self.assertTrue(context['show_tag_button'])\\n self.assertContains(response, reverse('trait_browser:source:traits:tagging', kwargs={'pk': self.trait.pk}))\",\n \"def test_create_custom_button(self):\\n pass\",\n \"def test_public_status_page_delete_public_status_page(self):\\n pass\",\n \"def test_valid_add_post_form_with_unpublish_article(\\n self, proto_post, proto_user\\n ):\\n testfile = (\\n b\\\"\\\\x47\\\\x49\\\\x46\\\\x38\\\\x39\\\\x61\\\\x01\\\\x00\\\\x01\\\\x00\\\\x00\\\\x00\\\\x00\\\\x21\\\\xf9\\\\x04\\\"\\n b\\\"\\\\x01\\\\x0a\\\\x00\\\\x01\\\\x00\\\\x2c\\\\x00\\\\x00\\\\x00\\\\x00\\\\x01\\\\x00\\\\x01\\\\x00\\\\x00\\\\x02\\\"\\n b\\\"\\\\x02\\\\x4c\\\\x01\\\\x00\\\\x3b\\\"\\n )\\n data = {\\n \\\"title\\\": \\\"This is the added title\\\",\\n \\\"author\\\": proto_user,\\n \\\"categories\\\": [6, 7],\\n \\\"overview\\\": \\\"This is the added overview\\\",\\n \\\"content\\\": \\\"This is the added content\\\",\\n \\\"featured\\\": True,\\n \\\"status\\\": 0,\\n }\\n form = PostForm(\\n data,\\n {\\n \\\"thumbnail\\\": SimpleUploadedFile(\\n \\\"small.gif\\\",\\n testfile,\\n content_type=\\\"image/gif\\\",\\n )\\n },\\n )\\n assert form.is_valid()\",\n \"def test_chooser_has_perms_no_news(self):\\n response = self.client.get(reverse('wagtailnews:choose'))\\n self.assertEqual(response.status_code, 200)\",\n \"async def test_availability_without_topic(\\n hass: HomeAssistant, mqtt_mock_entry: MqttMockHAClientGenerator\\n) -> None:\\n await help_test_availability_without_topic(\\n hass, mqtt_mock_entry, select.DOMAIN, DEFAULT_CONFIG\\n )\",\n \"def check_deletable(self):\\n item = self.albums_artists.currentItem()\\n self.delete_button.setEnabled(False)\\n if item in self.new_artists:\\n self.delete_button.setEnabled(True)\",\n \"def test_unlike_topic_viewset(self):\\n\\n topic = TopicFactory(author=self.user)\\n self.client.post(reverse('api:topics-like', kwargs={'topic_id': topic.id}))\\n response = self.client.post(reverse('api:topics-unlike', kwargs={'topic_id': topic.id}))\\n self.assertEqual(response.status_code, status.HTTP_200_OK)\\n obj_type = ContentType.objects.get_for_model(topic)\\n likes = Like.objects.filter(\\n content_type=obj_type, object_id=topic.id, user=self.user)\\n self.assertFalse(likes.exists())\",\n \"def test_is_preview(self):\\r\\n self.assertTrue(self.unit.q(css=\\\".discussion-preview\\\").present)\\r\\n self.assertFalse(self.unit.q(css=\\\".discussion-show\\\").present)\",\n \"def dnt_share_app():\\r\\n msg, status = \\\"\\\", True\\r\\n try:\\r\\n\\r\\n 'Click on Do not share button'\\r\\n flag1 = ui_controls.button(get_obj_identifier('a'))\\r\\n #flag2 = ui_controls.button(get_obj_identifier('share_dontShare_btn'))\\r\\n \\r\\n \\r\\n\\r\\n status = False if not(flag1) else True\\r\\n except Exception as excp:\\r\\n traceback.print_exc()\\r\\n msg += str(excp)\\r\\n status = False\\r\\n return status, msg\",\n \"def test_unshare_template_registration(self):\\n pass\",\n \"def test_can_not_add_more(self):\\n set_up_one_user(self, 1, 0)\\n login = self.client.login(username='test', password='2HJ1vRV0Z&3iD')\\n response = self.client.get(reverse('index'))\\n self.assertEqual(response.status_code, 200)\\n self.assertContains(response, '<button id=\\\"modalButton\\\" type=\\\"button\\\" class=\\\"btn btn-info\\\" data-toggle=\\\"modal\\\" data-target=\\\"#myModal\\\" disabled=\\\"True\\\">Add new notification</button>')\",\n \"def _clicked_no_button(self):\\n self.yes = False\",\n \"def test_upload_step__cancel(self):\\n # Set Up\\n self.go_to_step(FeedUpdateWizard.UPLOAD_STEP)\\n\\n # Test\\n response = self.client.post(\\n self.WIZARD_URL,\\n {\\n self.WIZARD_CURRENT_STEP: FeedUpdateWizard.UPLOAD_STEP,\\n \\\"cancel\\\": \\\"cancel\\\",\\n },\\n )\\n\\n # Assert\\n self.assertEqual(response.status_code, 200)\\n response.context_data[\\\"wizard\\\"][\\\"form\\\"].errors.get_json_data()\\n assert \\\"publish/feed_publish_cancel.html\\\" in [\\n t.name for t in response.templates\\n ]\",\n \"def test_publish_with_delete_screenshot(self):\\n user = User.objects.create_user(username='testuser')\\n review_request = self.create_review_request(target_people=[user])\\n attachment = self.create_screenshot(review_request,\\n caption='File 1')\\n review_request.publish(review_request.submitter)\\n\\n draft = ReviewRequestDraft.create(review_request)\\n self.assertEqual(draft.screenshots_count, 1)\\n self.assertEqual(draft.inactive_screenshots_count, 0)\\n self.assertEqual(review_request.screenshots_count, 1)\\n self.assertEqual(review_request.inactive_screenshots_count, 0)\\n\\n draft.screenshots.remove(attachment)\\n draft.inactive_screenshots.add(attachment)\\n\\n self.assertEqual(draft.screenshots_count, 0)\\n self.assertEqual(draft.inactive_screenshots_count, 1)\\n self.assertEqual(review_request.screenshots_count, 1)\\n self.assertEqual(review_request.inactive_screenshots_count, 0)\\n\\n changes = draft.publish()\\n fields = changes.fields_changed\\n\\n self.assertEqual(fields['screenshots'], {\\n 'new': [],\\n 'added': [],\\n 'old': [\\n (attachment.caption,\\n attachment.get_absolute_url(),\\n attachment.pk),\\n ],\\n 'removed': [\\n (attachment.caption,\\n attachment.get_absolute_url(),\\n attachment.pk),\\n ],\\n })\\n self.assertEqual(review_request.screenshots_count, 0)\\n self.assertEqual(review_request.inactive_screenshots_count, 1)\",\n \"def test_remove_plugin_before_published(self):\\n # add a page\\n page_data = self.get_new_page_data()\\n response = self.client.post(URL_CMS_PAGE_ADD, page_data)\\n page = Page.objects.all()[0]\\n\\n # add a plugin\\n plugin_data = {\\n 'plugin_type':\\\"TextPlugin\\\",\\n 'language':settings.LANGUAGES[0][0],\\n 'placeholder':page.placeholders.get(slot=\\\"body\\\").pk,\\n }\\n response = self.client.post(URL_CMS_PLUGIN_ADD, plugin_data)\\n self.assertEquals(response.status_code, 200)\\n self.assertEquals(int(response.content), CMSPlugin.objects.all()[0].pk)\\n # there should be only 1 plugin\\n self.assertEquals(CMSPlugin.objects.all().count(), 1)\\n\\n # delete the plugin\\n plugin_data = {\\n 'plugin_id': int(response.content)\\n }\\n remove_url = URL_CMS_PLUGIN_REMOVE\\n response = self.client.post(remove_url, plugin_data)\\n self.assertEquals(response.status_code, 200)\\n # there should be no plugins\\n self.assertEquals(0, CMSPlugin.objects.all().count())\",\n \"def toggle_test():\\n path = path_test\\n if (os.path.isfile(path)):\\n os.remove(path)\\n button_test.configure(text=\\\"Appuyer sur le bouton de test\\\")\\n print(\\\"Bouton test relâché\\\")\\n\\n else:\\n open(path, 'a').close()\\n button_test.configure(text=\\\"Relâcher le bouton de test\\\")\\n print(\\\"Bouton test enfoncé\\\")\",\n \"def _test_display_down_button(self):\\n return (self.product_displays.top_index + self.limits.screen_products) < len(self.product_displays)\",\n \"def test_unarchive_run(self):\\n pass\",\n \"def hide_main_buttons(self):\\n pass\",\n \"def test_rejected(self):\\n actions = signoff_actions(appversions={\\\"code\\\": \\\"fx1.0\\\"},\\n locales={\\\"code\\\": \\\"fr\\\"})\\n actions = list(actions)\\n eq_(len(actions), 1)\\n eq_(actions[0][1], Action.REJECTED)\\n so = Signoff.objects.get(action=actions[0][0])\\n eq_(so.push.tip.shortrev, \\\"l10n fr 0003\\\")\\n eq_(so.locale.code, \\\"fr\\\")\\n eq_(so.action_set.count(), 2)\",\n \"def test_should_render_user_with_can_change_status_and_unpublished(\\n self,\\n ) -> None:\\n self.assertFalse(self.action.should_render(\\n context=self._create_request_context(\\n can_change_status=True,\\n public=False,\\n user=self.create_user())))\",\n \"def test_unpopular(self):\\n self.assertFalse(self.user3.is_popular())\\n self.user3.receive_upvotes(randint(101, 10000))\\n self.assertTrue(self.user3.is_popular())\",\n \"def unhide(self):\\n self.course.quick_action(self.id, 'show')\",\n \"def test_is_revoked(self):\\n self.assertEqual(self.project.is_revoked(), False)\",\n \"async def user_unbanned_button(self, payload: discord.RawReactionActionEvent) -> None:\\n\\n self.bits = flip_action_bits(LoggingActions.USER_UNBANNED, self.bits)\\n await self.update_embed()\",\n \"def test_visible_widgets(plugin_dialog):\\n\\n assert plugin_dialog.direct_entry_edit.isVisible()\\n assert plugin_dialog.direct_entry_btn.isVisible()\",\n \"def remove_autoposting():\\n try:\\n autopost_delete = driver.find_element_by_class_name('btn-outline-danger')\\n autopost_delete.click()\\n click_on('delete')\\n wait()\\n except Exception as e:\\n return \\\"Error: \\\" + str(e)\\n return \\\"Success\\\"\",\n \"def test_button(self):\\n callback = CallbackCounter()\\n display = get_display(0)\\n button = FakeButton()\\n display.register_onpress(button, callback)\\n assert callback == 0\\n display.read()\\n assert callback == 0\\n button.value = True\\n display.read()\\n assert callback == 1\\n for i in range(200):\\n display.read()\\n assert callback == 1\",\n \"def test_accepted(self):\\n actions = signoff_actions(appversions={\\\"code\\\": \\\"fx1.0\\\"},\\n locales={\\\"code\\\": \\\"de\\\"})\\n actions = list(actions)\\n eq_(len(actions), 1)\\n so = Signoff.objects.get(action=actions[0][0])\\n eq_(so.push.tip.shortrev, \\\"l10n de 0002\\\")\\n eq_(so.locale.code, \\\"de\\\")\\n eq_(so.action_set.count(), 2)\",\n \"def test_constructor_visible_widgets(plugin_dialog_constructor):\\n assert not plugin_dialog_constructor.direct_entry_edit.isVisible()\\n assert not plugin_dialog_constructor.direct_entry_btn.isVisible()\",\n \"def test_delete_subscription_template(self):\\n pass\",\n \"def test_homepage_has_correct_buttons_showing_when_logged_in(testapp):\\n resp = testapp.post('/login',\\n params={'Username': 'amos',\\n 'Password': 'password'}).follow().html\\n logout = resp.find(class_=\\\"navbar-right\\\").text\\n create = resp.find(href=\\\"http://localhost/journal/new-entry\\\").text\\n assert logout == '\\\\n Logout\\\\n'\\n assert create == 'Create New Entry'\",\n \"def test_publish_without_summary(self):\\n review_request = self.create_review_request()\\n draft = ReviewRequestDraft.create(review_request)\\n\\n target_person = User.objects.get(username='doc')\\n\\n draft.description = 'New description'\\n draft.testing_done = 'New testing done'\\n draft.branch = 'New branch'\\n draft.bugs_closed = '12, 34, 56'\\n draft.target_people.add(target_person)\\n # Summary is set by default in create_review_request\\n draft.summary = ''\\n\\n error_message = 'The draft must have a summary.'\\n\\n with self.assertRaisesMessage(PublishError, error_message):\\n draft.publish()\",\n \"def onShowed(self):\\n self.parent.actionTagTwo=\\\"\\\"\\n pass\",\n \"def collection_delete_confirm_btn(self):\\n collection_delete_confirm_btn_sitem = self.locator_finder_by_xpath(self.collection_delete_confirm_btn_id)\\n collection_delete_confirm_btn_sitem.click()\\n time.sleep(1)\",\n \"def test_no_tagged_trait_remove_buttons_if_confirmed(self):\\n tagged_traits = TaggedTraitFactory.create_batch(3, trait=self.trait)\\n dcc_review = DCCReviewFactory.create(tagged_trait=tagged_traits[0], status=DCCReview.STATUS_CONFIRMED)\\n response = self.client.get(self.get_url(self.trait.pk))\\n context = response.context\\n for (a, b) in context['tagged_traits_with_xs']:\\n if a == dcc_review.tagged_trait:\\n self.assertFalse(b)\\n else:\\n self.assertTrue(b)\\n self.assertNotContains(response, reverse('tags:tagged-traits:pk:delete', kwargs={'pk': tagged_traits[0].pk}))\\n self.assertContains(response, reverse('tags:tagged-traits:pk:delete', kwargs={'pk': tagged_traits[1].pk}))\",\n \"def test_logout(self):\\n\\n result = self.client.get(\\\"logout\\\", follow_redirects=True)\\n self.assertIn(\\\"<h1 class=\\\\\\\"title\\\\\\\">Bark Park!</h1>\\\", result.data)\",\n \"def test_no_tagged_trait_remove_button_for_other_study(self):\\n other_trait = factories.SourceTraitFactory.create()\\n tagged_trait = TaggedTrait.objects.create(tag=self.tag, trait=other_trait, creator=self.user)\\n response = self.client.get(self.get_url(other_trait.pk))\\n context = response.context\\n for (a, b) in context['tagged_traits_with_xs']:\\n self.assertFalse(b)\\n self.assertNotContains(response, reverse('tags:tagged-traits:pk:delete', kwargs={'pk': self.tag.pk}))\",\n \"def test_no_tagged_trait_remove_buttons_if_reviewed(self):\\n tagged_traits = TaggedTraitFactory.create_batch(3, trait=self.trait)\\n dcc_review = DCCReviewFactory.create(tagged_trait=tagged_traits[0], status=DCCReview.STATUS_FOLLOWUP)\\n response = self.client.get(self.get_url(self.trait.pk))\\n context = response.context\\n for (a, b) in context['tagged_traits_with_xs']:\\n if a == dcc_review.tagged_trait:\\n self.assertFalse(b)\\n else:\\n self.assertTrue(b)\\n self.assertNotContains(response, reverse('tags:tagged-traits:pk:delete', kwargs={'pk': tagged_traits[0].pk}))\\n self.assertContains(response, reverse('tags:tagged-traits:pk:delete', kwargs={'pk': tagged_traits[1].pk}))\",\n \"def test_reset_button_works_on_initial_page(self):\\n response = self.client.get(self.get_url(self.study.pk), {'reset': 'Reset'}, follow=True)\\n context = response.context\\n self.assertIn('form', context)\\n self.assertFalse(context['form'].is_bound)\\n self.assertFalse(context['has_results'])\\n self.assertIn('results_table', context)\\n self.assertEqual(len(context['results_table'].rows), 0)\",\n \"def test_reset_button_works_on_initial_page(self):\\n response = self.client.get(self.get_url(self.study.pk), {'reset': 'Reset'}, follow=True)\\n context = response.context\\n self.assertIn('form', context)\\n self.assertFalse(context['form'].is_bound)\\n self.assertFalse(context['has_results'])\\n self.assertIn('results_table', context)\\n self.assertEqual(len(context['results_table'].rows), 0)\",\n \"def canUnpublish(id, userId):\\n db = core.connect()\\n theShift = db[id]\\n return user.isAdmin(userId) or (userId == theShift['createdBy'])\",\n \"def test_no_tagged_trait_remove_buttons_if_reviewed(self):\\n tagged_traits = TaggedTraitFactory.create_batch(3, trait=self.trait)\\n dcc_review = DCCReviewFactory.create(\\n tagged_trait=tagged_traits[0], status=DCCReview.STATUS_FOLLOWUP)\\n response = self.client.get(self.get_url(self.trait.pk))\\n context = response.context\\n for (a, b) in context['tagged_traits_with_xs']:\\n if a == dcc_review.tagged_trait:\\n self.assertFalse(b)\\n else:\\n self.assertTrue(b)\\n self.assertNotContains(response, reverse('tags:tagged-traits:pk:delete', kwargs={'pk': tagged_traits[0].pk}))\\n self.assertContains(response, reverse('tags:tagged-traits:pk:delete', kwargs={'pk': tagged_traits[1].pk}))\",\n \"def test_no_tagged_trait_remove_buttons_if_confirmed(self):\\n tagged_traits = TaggedTraitFactory.create_batch(3, trait=self.trait)\\n dcc_review = DCCReviewFactory.create(\\n tagged_trait=tagged_traits[0], status=DCCReview.STATUS_CONFIRMED)\\n response = self.client.get(self.get_url(self.trait.pk))\\n context = response.context\\n for (a, b) in context['tagged_traits_with_xs']:\\n if a == dcc_review.tagged_trait:\\n self.assertFalse(b)\\n else:\\n self.assertTrue(b)\\n self.assertNotContains(response, reverse('tags:tagged-traits:pk:delete', kwargs={'pk': tagged_traits[0].pk}))\\n self.assertContains(response, reverse('tags:tagged-traits:pk:delete', kwargs={'pk': tagged_traits[1].pk}))\",\n \"def test_admin_signup_visibility(app, resource):\\n with app.admin(nethz='somethingsomething'):\\n headers = {'If-Match': 'Wrong'}\\n\\n # Create fake signup with different nethz\\n other = str(app.data.driver.db[resource].insert({'nethz': 'trolo'}))\\n\\n # Resource: Can see signups\\n response = app.client.get('/' + resource,\\n headers=headers,\\n assert_status=200)\\n assert len(response['_items']) == 1\\n\\n # Items\\n url = '/%s/%s' % (resource, other)\\n\\n # Get\\n app.client.get(url, headers=headers, assert_status=200)\\n\\n # Patch (if we can see item, we get 412 since etag is wrong)\\n app.client.patch(url, headers=headers, data={}, assert_status=412)\\n\\n # Delete (etag missing again)\\n app.client.delete(url, headers=headers, assert_status=412)\",\n \"def killSubscribers(self):\\n if (self.off_TB1_Viewer.isChecked()):\\n pass\",\n \"def clearButton(self):\\n\\n\\t\\traise foundations.exceptions.ProgrammingError(\\n\\t\\t\\\"{0} | '{1}' attribute is not deletable!\\\".format(self.__class__.__name__, \\\"clearButton\\\"))\",\n \"async def test_flow_link_button_not_pressed(hass: HomeAssistant) -> None:\\n disc_bridge = get_discovered_bridge()\\n with patch(\\n \\\"homeassistant.components.hue.config_flow.discover_nupnp\\\",\\n return_value=[disc_bridge],\\n ):\\n result = await hass.config_entries.flow.async_init(\\n const.DOMAIN, context={\\\"source\\\": config_entries.SOURCE_USER}\\n )\\n\\n with patch.object(config_flow, \\\"create_app_key\\\", side_effect=LinkButtonNotPressed):\\n result = await hass.config_entries.flow.async_configure(\\n result[\\\"flow_id\\\"], user_input={\\\"id\\\": disc_bridge.id}\\n )\\n\\n result = await hass.config_entries.flow.async_configure(\\n result[\\\"flow_id\\\"], user_input={}\\n )\\n\\n assert result[\\\"type\\\"] == \\\"form\\\"\\n assert result[\\\"step_id\\\"] == \\\"link\\\"\\n assert result[\\\"errors\\\"] == {\\\"base\\\": \\\"register_failed\\\"}\",\n \"def test_no_tagged_trait_remove_button(self):\\n tagged_traits = TaggedTraitFactory.create_batch(3, trait=self.trait)\\n response = self.client.get(self.get_url(self.trait.pk))\\n context = response.context\\n for (a, b) in context['tagged_traits_with_xs']:\\n self.assertFalse(b)\\n for tt in tagged_traits:\\n self.assertNotContains(response, reverse('tags:tagged-traits:pk:delete', kwargs={'pk': tt.pk}))\",\n \"def test_unload(self):\\n self.instance.load()\\n self.assertIsNotNone(self.instance._author)\\n self.instance.unload()\\n self.assertIsNone(self.instance._author)\",\n \"def test_has_tagged_trait_remove_buttons(self):\\n tagged_traits = TaggedTraitFactory.create_batch(2, trait=self.trait)\\n response = self.client.get(self.get_url(self.trait.pk))\\n context = response.context\\n for (a, b) in context['tagged_traits_with_xs']:\\n self.assertTrue(b)\\n for tt in tagged_traits:\\n self.assertContains(response, reverse('tags:tagged-traits:pk:delete', kwargs={'pk': tt.pk}))\",\n \"def test_has_tagged_trait_remove_buttons(self):\\n tagged_traits = TaggedTraitFactory.create_batch(2, trait=self.trait)\\n response = self.client.get(self.get_url(self.trait.pk))\\n context = response.context\\n for (a, b) in context['tagged_traits_with_xs']:\\n self.assertTrue(b)\\n for tt in tagged_traits:\\n self.assertContains(response, reverse('tags:tagged-traits:pk:delete', kwargs={'pk': tt.pk}))\",\n \"def test_registration_form_deleted(dummy_regform, api_delete, api_post):\\n dummy_regform.is_deleted = True\\n signals.event.registration_form_deleted.send(dummy_regform)\\n assert api_delete.call_count == 1\\n assert api_post.call_count == 0\",\n \"def test_registration_form_deleted(dummy_regform, api_delete, api_post):\\n dummy_regform.is_deleted = True\\n signals.event.registration_form_deleted.send(dummy_regform)\\n assert api_delete.call_count == 1\\n assert api_post.call_count == 0\",\n \"def test_publish_scenario_to_composition(self):\\n pass\",\n \"def test_not_logged_in(self):\\n\\n # test show album\\n self.perm_escalate_helper(self.albumcontrol, self.showalbumrequest, self.testalbum, self.testalbum.id,\\n AnonymousUser(), album.display_album, ALBUM_PUBLIC)\\n\\n # test photo view\\n self.perm_escalate_helper_get_with_client(self.albumcontrol, self.testalbum, self.photo.id,\\n \\\"photoid\\\", \\\"show_photo\\\", ALBUM_PUBLIC)\\n\\n # test individual photo view page\\n self.perm_escalate_helper(self.albumcontrol, self.indivphotorequest, self.testalbum, self.photo.id,\\n AnonymousUser(), album.display_photo, ALBUM_PUBLIC)\",\n \"def test_user_actions_post(self):\\n pass\",\n \"def test_show_on_homepage(self) -> None:\\n self.assert_show_on_homepage(apps.wakeup.main.Controller)\",\n \"def unfollow_profile(self):\\n self.find_clickable_element(self.ISFOLLOWED_BTN).click()\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.79772043","0.70692533","0.67827237","0.6501703","0.6320983","0.6103904","0.60975456","0.6091303","0.60491884","0.6046391","0.6036287","0.6016861","0.60101634","0.59801006","0.5962303","0.5924949","0.5915684","0.5897269","0.58937395","0.58638966","0.5822894","0.5822894","0.5819885","0.5781295","0.57652986","0.5697367","0.5687445","0.567572","0.5657847","0.5622172","0.5619936","0.56191343","0.56129104","0.560568","0.55967677","0.5524764","0.5522529","0.54935706","0.54685396","0.5452037","0.5452037","0.5445053","0.54376805","0.54366547","0.54227567","0.54149467","0.5406702","0.5397957","0.53856903","0.5385234","0.5377805","0.5375414","0.536394","0.53540146","0.5350629","0.53502667","0.5334361","0.5329966","0.5320131","0.53143245","0.5313156","0.53125316","0.53086656","0.5307095","0.5295804","0.5293042","0.5285596","0.5281987","0.5280939","0.5258951","0.5253918","0.5235007","0.5227347","0.5221415","0.5214214","0.5214074","0.5210341","0.52090126","0.52072215","0.52063686","0.52057284","0.52057284","0.5204511","0.5199946","0.51953006","0.5185457","0.51812357","0.51802427","0.5179818","0.51759315","0.5173913","0.51692665","0.51692665","0.5163405","0.5163405","0.5163116","0.5162647","0.51464456","0.5140751","0.5139199"],"string":"[\n \"0.79772043\",\n \"0.70692533\",\n \"0.67827237\",\n \"0.6501703\",\n \"0.6320983\",\n \"0.6103904\",\n \"0.60975456\",\n \"0.6091303\",\n \"0.60491884\",\n \"0.6046391\",\n \"0.6036287\",\n \"0.6016861\",\n \"0.60101634\",\n \"0.59801006\",\n \"0.5962303\",\n \"0.5924949\",\n \"0.5915684\",\n \"0.5897269\",\n \"0.58937395\",\n \"0.58638966\",\n \"0.5822894\",\n \"0.5822894\",\n \"0.5819885\",\n \"0.5781295\",\n \"0.57652986\",\n \"0.5697367\",\n \"0.5687445\",\n \"0.567572\",\n \"0.5657847\",\n \"0.5622172\",\n \"0.5619936\",\n \"0.56191343\",\n \"0.56129104\",\n \"0.560568\",\n \"0.55967677\",\n \"0.5524764\",\n \"0.5522529\",\n \"0.54935706\",\n \"0.54685396\",\n \"0.5452037\",\n \"0.5452037\",\n \"0.5445053\",\n \"0.54376805\",\n \"0.54366547\",\n \"0.54227567\",\n \"0.54149467\",\n \"0.5406702\",\n \"0.5397957\",\n \"0.53856903\",\n \"0.5385234\",\n \"0.5377805\",\n \"0.5375414\",\n \"0.536394\",\n \"0.53540146\",\n \"0.5350629\",\n \"0.53502667\",\n \"0.5334361\",\n \"0.5329966\",\n \"0.5320131\",\n \"0.53143245\",\n \"0.5313156\",\n \"0.53125316\",\n \"0.53086656\",\n \"0.5307095\",\n \"0.5295804\",\n \"0.5293042\",\n \"0.5285596\",\n \"0.5281987\",\n \"0.5280939\",\n \"0.5258951\",\n \"0.5253918\",\n \"0.5235007\",\n \"0.5227347\",\n \"0.5221415\",\n \"0.5214214\",\n \"0.5214074\",\n \"0.5210341\",\n \"0.52090126\",\n \"0.52072215\",\n \"0.52063686\",\n \"0.52057284\",\n \"0.52057284\",\n \"0.5204511\",\n \"0.5199946\",\n \"0.51953006\",\n \"0.5185457\",\n \"0.51812357\",\n \"0.51802427\",\n \"0.5179818\",\n \"0.51759315\",\n \"0.5173913\",\n \"0.51692665\",\n \"0.51692665\",\n \"0.5163405\",\n \"0.5163405\",\n \"0.5163116\",\n \"0.5162647\",\n \"0.51464456\",\n \"0.5140751\",\n \"0.5139199\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.8308116"},"document_rank":{"kind":"string","value":"0"}}},{"rowIdx":86778,"cells":{"query":{"kind":"string","value":"Test that the unpublish button does not appear"},"document":{"kind":"string","value":"def test_no_unpublish_button_appears(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertNotContains(response, self.url)"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def test_unpublish_button_appears(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertContains(response, self.url)","def test_unpublish_as_publisher(self):\n e = self.make_event()\n e.published=True\n e.save()\n resp = self.request_with_role('/admin/events/unpublish/%s' % e.id, role='publisher',\n method='POST', follow_redirects=True)\n self.assertIn('Event unpublished', resp.data)\n self.assertEqual(resp.status_code, 200)\n self.assertEqual(Event.objects(published=False).count(), 1)","def test_unpublish_as_editor(self):\n e = self.make_event()\n e.published=True\n e.save()\n resp = self.request_with_role('/admin/events/unpublish/%s' % e.id, role='editor',\n method='POST')\n self.assertEqual(resp.status_code, 401)\n self.assertEqual(Event.objects(published=False).count(), 0)","def test_unpublish_event_as_publisher_when_event_does_not_exist(self):\n e = self.make_event()\n e.published=True\n e.save()\n other_id = ObjectId()\n resp = self.request_with_role('/admin/events/unpublish/%s' % other_id, role='publisher',\n method='POST', follow_redirects=True)\n self.assertIn('Invalid event id', resp.data)\n self.assertEqual(resp.status_code, 200)\n self.assertEqual(Event.objects(published=False).count(), 0)","def test_no_edit_button_appears(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertNotContains(response, self.url)","def test_no_tagging_button(self):\n response = self.client.get(self.get_url(self.trait.pk))\n context = response.context\n self.assertNotContains(response, reverse('trait_browser:source:traits:tagging', kwargs={'pk': self.trait.pk}))\n self.assertFalse(context['show_tag_button'])","def test_that_not_logged_in_does_not_shows_edit_button(testapp):\n html = testapp.get('/journal/1').html\n assert not html.find('main').a","def test_no_delete_button_appears_edit(self):\n response = self.client.get(reverse('wagtailnews:edit', kwargs={\n 'pk': self.index.pk, 'newsitem_pk': self.newsitem.pk}))\n self.assertNotContains(response, self.url)","def test_no_add_button_appears(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertNotContains(response, self.url)","def test_should_render_with_unpublished(self) -> None:\n self.assertFalse(self.action.should_render(\n context=self._create_request_context(public=False)))","def test_no_tagging_button_if_deprecated(self):\n study_version = self.trait.source_dataset.source_study_version\n study_version.i_is_deprecated = True\n study_version.save()\n response = self.client.get(self.get_url(self.trait.pk))\n context = response.context\n self.assertFalse(context['show_tag_button'])\n self.assertNotContains(response, reverse('trait_browser:source:traits:tagging', kwargs={'pk': self.trait.pk}))","def test_no_tagging_button_if_deprecated(self):\n study_version = self.trait.source_dataset.source_study_version\n study_version.i_is_deprecated = True\n study_version.save()\n response = self.client.get(self.get_url(self.trait.pk))\n context = response.context\n self.assertFalse(context['show_tag_button'])\n self.assertNotContains(response, reverse('trait_browser:source:traits:tagging', kwargs={'pk': self.trait.pk}))","def test_registration_closed_button(self):\n\n participation_block = self.event_page.participation_block\n self.assertFalse(participation_block.is_button_clickable())","def test_should_render_for_owner_unpublished(self) -> None:\n self.assertTrue(self.action.should_render(\n context=self._create_request_context(\n public=False)))","def unpublish_action(modeladmin, request, queryset):\n\n count = queryset.filter(published=True).update(published=False)\n messages.info(request, f\"Unpublished {count} objects\")","def test_empty_ui(self):","def test_no_delete_button_appears_index(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertNotContains(response, self.url)","def _test_display_up_button(self):\n return (self.product_displays.top_index > 0)","def btn_unfollow_clicked(self, widget, data=None):\n print \"unfollow clicked\"","def test_filter_not_available_plugins(plugin_dialog_constructor):\n item = plugin_dialog_constructor.available_list.item(0)\n widget = plugin_dialog_constructor.available_list.itemWidget(item)\n if widget:\n assert not widget.action_button.isEnabled()\n assert widget.warning_tooltip.isVisible()\n\n item = plugin_dialog_constructor.available_list.item(1)\n widget = plugin_dialog_constructor.available_list.itemWidget(item)\n assert widget.action_button.isEnabled()\n assert not widget.warning_tooltip.isVisible()","def test_public_status_page_remove_authorization_from_public_status_page(self):\n pass","def test_delete_custom_button(self):\n pass","def soft_assert_cannot_make_proposal(info_page, soft_assert):\n soft_assert.expect(not info_page.is_propose_changes_btn_exists,\n \"'Propose Changes' button should not be displayed.\")","def test_unsubscribe_instructions(self):\n w = watch(save=True)\n template = Template('{% load unsubscribe_instructions %}'\n '{% unsubscribe_instructions watch %}')\n assert w.unsubscribe_url() in template.render(Context({'watch': w}))","def _clicked_no_button(self):\n self.yes = False","def website_publish_button(self):\n if self.website_published:\n self.write({'website_published': False})\n else:\n self.write({'website_published': True})","def unpublish_item_action(modeladmin, request, queryset):\n\n count = queryset.filter(published=True).update(published=False)\n asset_count = Asset.objects.filter(item__in=queryset, published=True).update(\n published=False\n )\n\n messages.info(request, f\"Unpublished {count} items and {asset_count} assets\")","def test_unshare_template_registration(self):\n pass","def test_recentactions_without_content_type(self):\n response = self.client.get(reverse(\"admin:index\"))\n link = reverse(\"admin:admin_utils_article_change\", args=(quote(self.a1.pk),))\n should_contain = \"\"\"<a href=\"%s\">%s</a>\"\"\" % (\n escape(link),\n escape(repr(self.a1)),\n )\n self.assertContains(response, should_contain)\n should_contain = \"Article\"\n self.assertContains(response, should_contain)\n logentry = LogEntry.objects.get(content_type__model__iexact=\"article\")\n # If the log entry doesn't have a content type it should still be\n # possible to view the Recent Actions part (#10275).\n logentry.content_type = None\n logentry.save()\n\n should_contain = should_contain.encode()\n counted_presence_before = response.content.count(should_contain)\n response = self.client.get(reverse(\"admin:index\"))\n counted_presence_after = response.content.count(should_contain)\n self.assertEqual(counted_presence_before - 1, counted_presence_after)","def test_homepage_has_correct_buttons_showing_when_not_logged_in(testapp):\n html = testapp.get('/').html\n logout = html.find(class_=\"navbar-right\").text\n create = html.find(href=\"http://localhost/journal/new-entry\")\n assert logout == '\\n Login\\n'\n assert not create","async def test_availability_without_topic(\n hass: HomeAssistant, mqtt_mock_entry: MqttMockHAClientGenerator\n) -> None:\n await help_test_availability_without_topic(\n hass, mqtt_mock_entry, select.DOMAIN, DEFAULT_CONFIG\n )","def test_default_publish(self):\n self.assertIs(self.photo.published, 'Public')","def check_deletable(self):\n item = self.albums_artists.currentItem()\n self.delete_button.setEnabled(False)\n if item in self.new_artists:\n self.delete_button.setEnabled(True)","def test_chooser_has_perms_no_news(self):\n response = self.client.get(reverse('wagtailnews:choose'))\n self.assertEqual(response.status_code, 200)","def test_delete_button_appears_edit(self):\n response = self.client.get(reverse('wagtailnews:edit', kwargs={\n 'pk': self.index.pk, 'newsitem_pk': self.newsitem.pk}))\n self.assertContains(response, self.url)","def killSubscribers(self):\n if (self.off_TB1_Viewer.isChecked()):\n pass","def unpublish(id):\n db = core.connect()\n theShift = db[id]\n theShift[\"publishData\"][\"draft\"] = True\n db[id] = theShift","def test_unlike_topic_viewset(self):\n\n topic = TopicFactory(author=self.user)\n self.client.post(reverse('api:topics-like', kwargs={'topic_id': topic.id}))\n response = self.client.post(reverse('api:topics-unlike', kwargs={'topic_id': topic.id}))\n self.assertEqual(response.status_code, status.HTTP_200_OK)\n obj_type = ContentType.objects.get_for_model(topic)\n likes = Like.objects.filter(\n content_type=obj_type, object_id=topic.id, user=self.user)\n self.assertFalse(likes.exists())","def test_can_not_add_more(self):\n set_up_one_user(self, 1, 0)\n login = self.client.login(username='test', password='2HJ1vRV0Z&3iD')\n response = self.client.get(reverse('index'))\n self.assertEqual(response.status_code, 200)\n self.assertContains(response, '<button id=\"modalButton\" type=\"button\" class=\"btn btn-info\" data-toggle=\"modal\" data-target=\"#myModal\" disabled=\"True\">Add new notification</button>')","def test_not_logged_in(self):\n\n # test show album\n self.perm_escalate_helper(self.albumcontrol, self.showalbumrequest, self.testalbum, self.testalbum.id,\n AnonymousUser(), album.display_album, ALBUM_PUBLIC)\n\n # test photo view\n self.perm_escalate_helper_get_with_client(self.albumcontrol, self.testalbum, self.photo.id,\n \"photoid\", \"show_photo\", ALBUM_PUBLIC)\n\n # test individual photo view page\n self.perm_escalate_helper(self.albumcontrol, self.indivphotorequest, self.testalbum, self.photo.id,\n AnonymousUser(), album.display_photo, ALBUM_PUBLIC)","def test_post_no_permission(self):\n self.user.user_permissions.clear()\n response = self._post()\n self.assertRedirectsToLogin(response)\n self._assert_no_change()","def test_update_custom_button(self):\n pass","def test_pending(self):\n actions = signoff_actions(appversions={\"code\": \"fx1.0\"},\n locales={\"code\": \"pl\"})\n actions = list(actions)\n eq_(len(actions), 1)\n so = Signoff.objects.get(action=actions[0][0])\n eq_(so.push.tip.shortrev, \"l10n pl 0003\")\n eq_(so.locale.code, \"pl\")\n eq_(so.action_set.count(), 1)","def test_valid_update_post_form_with_unpublish_article(\n self, proto_post, proto_user\n ):\n testfile = (\n b\"\\x47\\x49\\x46\\x38\\x39\\x61\\x01\\x00\\x01\\x00\\x00\\x00\\x00\\x21\\xf9\\x04\"\n b\"\\x01\\x0a\\x00\\x01\\x00\\x2c\\x00\\x00\\x00\\x00\\x01\\x00\\x01\\x00\\x00\\x02\"\n b\"\\x02\\x4c\\x01\\x00\\x3b\"\n )\n data = {\n \"title\": \"This is the modified title\",\n \"categories\": [36, 37],\n \"overview\": \"This is the modified overview\",\n \"content\": \"This is the modified content\",\n \"featured\": True,\n \"status\": 0,\n }\n form = EditForm(\n data,\n {\n \"thumbnail\": SimpleUploadedFile(\n \"small.gif\",\n testfile,\n content_type=\"image/gif\",\n )\n },\n )\n assert form.is_valid()","def test_user_can_not_enroll_to_unpublished_project(self):\n self.client.force_authenticate(self.global_user_1)\n\n # Make sure nothing is found - not enrolled.\n resp = self.client.get(self.api_project_state_not_enrolled_unpublished_url)\n self.assertEqual(resp.status_code, 404)\n\n #NOTE: Allowed!\n # # POST and make sure the user is enrolled\n # resp = self.client.post(self.api_project_state_not_enrolled_unpublished_url)\n # self.assertEqual(resp.status_code, 403)\n # resp = self.client.get(self.api_project_state_not_enrolled_unpublished_url)\n # self.assertEqual(resp.status_code, 404)","def test_public_status_page_delete_public_status_page(self):\n pass","def dnt_share_app():\r\n msg, status = \"\", True\r\n try:\r\n\r\n 'Click on Do not share button'\r\n flag1 = ui_controls.button(get_obj_identifier('a'))\r\n #flag2 = ui_controls.button(get_obj_identifier('share_dontShare_btn'))\r\n \r\n \r\n\r\n status = False if not(flag1) else True\r\n except Exception as excp:\r\n traceback.print_exc()\r\n msg += str(excp)\r\n status = False\r\n return status, msg","def test_publish_without_history_not_finalized(self):\n with override_feature_check(dvcs_feature.feature_id, enabled=True):\n review_request = self.create_review_request(\n create_repository=True)\n diffset = self.create_diffset(review_request, draft=True)\n draft = review_request.get_draft()\n draft.target_people.add(review_request.submitter)\n self.create_filediff(diffset=diffset)\n\n draft.publish()\n\n review_request = ReviewRequest.objects.get(pk=review_request.pk)\n self.assertEqual(review_request.status,\n ReviewRequest.PENDING_REVIEW)","def test_should_render_user_with_can_change_status_and_unpublished(\n self,\n ) -> None:\n self.assertFalse(self.action.should_render(\n context=self._create_request_context(\n can_change_status=True,\n public=False,\n user=self.create_user())))","def test_unsubscribe_offer(self):\n pass","def test_no_tagged_trait_remove_button(self):\n tagged_traits = TaggedTraitFactory.create_batch(3, trait=self.trait)\n response = self.client.get(self.get_url(self.trait.pk))\n context = response.context\n for (a, b) in context['tagged_traits_with_xs']:\n self.assertFalse(b)\n for tt in tagged_traits:\n self.assertNotContains(response, reverse('tags:tagged-traits:pk:delete', kwargs={'pk': tt.pk}))","def test_unauthenticated(self):\n self.logout_user()\n\n response = self.client.get(self.api_link)\n self.assertContains(response, \"sign in to use private threads\", status_code=403)","def hide_main_buttons(self):\n pass","def test_edit_button_appears(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertContains(response, self.url)","def test_no_tagged_trait_remove_buttons_if_reviewed(self):\n tagged_traits = TaggedTraitFactory.create_batch(3, trait=self.trait)\n dcc_review = DCCReviewFactory.create(tagged_trait=tagged_traits[0], status=DCCReview.STATUS_FOLLOWUP)\n response = self.client.get(self.get_url(self.trait.pk))\n context = response.context\n for (a, b) in context['tagged_traits_with_xs']:\n if a == dcc_review.tagged_trait:\n self.assertFalse(b)\n else:\n self.assertTrue(b)\n self.assertNotContains(response, reverse('tags:tagged-traits:pk:delete', kwargs={'pk': tagged_traits[0].pk}))\n self.assertContains(response, reverse('tags:tagged-traits:pk:delete', kwargs={'pk': tagged_traits[1].pk}))","def test_no_tagged_trait_remove_buttons_if_reviewed(self):\n tagged_traits = TaggedTraitFactory.create_batch(3, trait=self.trait)\n dcc_review = DCCReviewFactory.create(\n tagged_trait=tagged_traits[0], status=DCCReview.STATUS_FOLLOWUP)\n response = self.client.get(self.get_url(self.trait.pk))\n context = response.context\n for (a, b) in context['tagged_traits_with_xs']:\n if a == dcc_review.tagged_trait:\n self.assertFalse(b)\n else:\n self.assertTrue(b)\n self.assertNotContains(response, reverse('tags:tagged-traits:pk:delete', kwargs={'pk': tagged_traits[0].pk}))\n self.assertContains(response, reverse('tags:tagged-traits:pk:delete', kwargs={'pk': tagged_traits[1].pk}))","def test_rejected(self):\n actions = signoff_actions(appversions={\"code\": \"fx1.0\"},\n locales={\"code\": \"fr\"})\n actions = list(actions)\n eq_(len(actions), 1)\n eq_(actions[0][1], Action.REJECTED)\n so = Signoff.objects.get(action=actions[0][0])\n eq_(so.push.tip.shortrev, \"l10n fr 0003\")\n eq_(so.locale.code, \"fr\")\n eq_(so.action_set.count(), 2)","def test_top_archive_view_does_not_link(self):\n TopSubmissionForm(data={'category': self.categories[0].id,\n 'submission': self.ideas[2].id,\n 'rank': 2},\n debate=self.debate).save()\n rsp = self.client.get(self.url(self.categories[0].slug))\n self.assertNotContains(rsp, self.ideas[2].get_absolute_url())","def test_no_tagged_trait_remove_button_for_other_study(self):\n other_trait = factories.SourceTraitFactory.create()\n tagged_trait = TaggedTrait.objects.create(tag=self.tag, trait=other_trait, creator=self.user)\n response = self.client.get(self.get_url(other_trait.pk))\n context = response.context\n for (a, b) in context['tagged_traits_with_xs']:\n self.assertFalse(b)\n self.assertNotContains(response, reverse('tags:tagged-traits:pk:delete', kwargs={'pk': self.tag.pk}))","def test_unlisted_addon(self):\n addon = Addon.objects.get(pk=3615)\n self.make_addon_unlisted(addon)\n\n up = self.get(self.good_data)\n assert up.is_valid()","def test_unpopular(self):\n self.assertFalse(self.user3.is_popular())\n self.user3.receive_upvotes(randint(101, 10000))\n self.assertTrue(self.user3.is_popular())","def test_bond_buttons_inactive(self):\n self.assertFalse(PageObject.find_element\n (InterfacesSettings(), 'bond_interfaces').\n is_enabled())\n self.assertFalse(PageObject.find_element\n (InterfacesSettings(), 'unbond_interfaces').\n is_enabled())","def test_no_tagged_trait_remove_buttons_if_confirmed(self):\n tagged_traits = TaggedTraitFactory.create_batch(3, trait=self.trait)\n dcc_review = DCCReviewFactory.create(tagged_trait=tagged_traits[0], status=DCCReview.STATUS_CONFIRMED)\n response = self.client.get(self.get_url(self.trait.pk))\n context = response.context\n for (a, b) in context['tagged_traits_with_xs']:\n if a == dcc_review.tagged_trait:\n self.assertFalse(b)\n else:\n self.assertTrue(b)\n self.assertNotContains(response, reverse('tags:tagged-traits:pk:delete', kwargs={'pk': tagged_traits[0].pk}))\n self.assertContains(response, reverse('tags:tagged-traits:pk:delete', kwargs={'pk': tagged_traits[1].pk}))","async def test_flow_link_button_not_pressed(hass: HomeAssistant) -> None:\n disc_bridge = get_discovered_bridge()\n with patch(\n \"homeassistant.components.hue.config_flow.discover_nupnp\",\n return_value=[disc_bridge],\n ):\n result = await hass.config_entries.flow.async_init(\n const.DOMAIN, context={\"source\": config_entries.SOURCE_USER}\n )\n\n with patch.object(config_flow, \"create_app_key\", side_effect=LinkButtonNotPressed):\n result = await hass.config_entries.flow.async_configure(\n result[\"flow_id\"], user_input={\"id\": disc_bridge.id}\n )\n\n result = await hass.config_entries.flow.async_configure(\n result[\"flow_id\"], user_input={}\n )\n\n assert result[\"type\"] == \"form\"\n assert result[\"step_id\"] == \"link\"\n assert result[\"errors\"] == {\"base\": \"register_failed\"}","def test_publish_without_summary(self):\n review_request = self.create_review_request()\n draft = ReviewRequestDraft.create(review_request)\n\n target_person = User.objects.get(username='doc')\n\n draft.description = 'New description'\n draft.testing_done = 'New testing done'\n draft.branch = 'New branch'\n draft.bugs_closed = '12, 34, 56'\n draft.target_people.add(target_person)\n # Summary is set by default in create_review_request\n draft.summary = ''\n\n error_message = 'The draft must have a summary.'\n\n with self.assertRaisesMessage(PublishError, error_message):\n draft.publish()","def test_page_list_unauthorised(self):\n user = self.get_superuser()\n title_1 = 'page'\n title_2 = 'inner'\n title_3 = 'page 3'\n page = create_page(title_1, 'page.html', 'en', published=True)\n page_2 = create_page(title_2, 'page.html', 'en', published=True, parent=page)\n page_3 = create_page(title_3, 'page.html', 'en', published=False)\n\n url = reverse('api:page-list')\n response = self.client.get(url, format='json')\n self.assertEqual(len(response.data), 2)\n for page in response.data:\n self.assertIn(page.get('title'), {title_1, title_2})","def test_no_tagged_trait_remove_buttons_if_confirmed(self):\n tagged_traits = TaggedTraitFactory.create_batch(3, trait=self.trait)\n dcc_review = DCCReviewFactory.create(\n tagged_trait=tagged_traits[0], status=DCCReview.STATUS_CONFIRMED)\n response = self.client.get(self.get_url(self.trait.pk))\n context = response.context\n for (a, b) in context['tagged_traits_with_xs']:\n if a == dcc_review.tagged_trait:\n self.assertFalse(b)\n else:\n self.assertTrue(b)\n self.assertNotContains(response, reverse('tags:tagged-traits:pk:delete', kwargs={'pk': tagged_traits[0].pk}))\n self.assertContains(response, reverse('tags:tagged-traits:pk:delete', kwargs={'pk': tagged_traits[1].pk}))","def test_is_revoked(self):\n self.assertEqual(self.project.is_revoked(), False)","def test_no_delete_permission(client):\n user = user_with_permissions(\"polls.view_poll\")\n poll = Poll.objects.create(owner=user, text=\"question\")\n\n url = reverse(\"admin:polls_poll_change\", args=(poll.pk,))\n delete_url = reverse(\"admin:polls_poll_delete\", args=(poll.pk,))\n client.force_login(user)\n\n response = client.get(url)\n assert delete_url not in response.content.decode()","def test_post_no_permission(self):\n self.user.user_permissions.clear()\n response = self._post()\n self.assertRedirectsToLogin(response)\n self.assertEquals(self.model.objects.count(), 0)","def test_delete_button_appears_index(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertContains(response, self.url)","def remove_autoposting():\n try:\n autopost_delete = driver.find_element_by_class_name('btn-outline-danger')\n autopost_delete.click()\n click_on('delete')\n wait()\n except Exception as e:\n return \"Error: \" + str(e)\n return \"Success\"","def test_valid_add_post_form_with_unpublish_article(\n self, proto_post, proto_user\n ):\n testfile = (\n b\"\\x47\\x49\\x46\\x38\\x39\\x61\\x01\\x00\\x01\\x00\\x00\\x00\\x00\\x21\\xf9\\x04\"\n b\"\\x01\\x0a\\x00\\x01\\x00\\x2c\\x00\\x00\\x00\\x00\\x01\\x00\\x01\\x00\\x00\\x02\"\n b\"\\x02\\x4c\\x01\\x00\\x3b\"\n )\n data = {\n \"title\": \"This is the added title\",\n \"author\": proto_user,\n \"categories\": [6, 7],\n \"overview\": \"This is the added overview\",\n \"content\": \"This is the added content\",\n \"featured\": True,\n \"status\": 0,\n }\n form = PostForm(\n data,\n {\n \"thumbnail\": SimpleUploadedFile(\n \"small.gif\",\n testfile,\n content_type=\"image/gif\",\n )\n },\n )\n assert form.is_valid()","def _test_display_down_button(self):\n return (self.product_displays.top_index + self.limits.screen_products) < len(self.product_displays)","def canUnpublish(id, userId):\n db = core.connect()\n theShift = db[id]\n return user.isAdmin(userId) or (userId == theShift['createdBy'])","def test_no_unlisted(self):\n Version.objects.get(pk=self.version_1_2_2).update(\n channel=amo.RELEASE_CHANNEL_UNLISTED)\n self.addon.reload()\n assert self.addon.status == amo.STATUS_PUBLIC\n version, file = self.get('1.2', self.version_int,\n self.app, self.platform)\n assert version == self.version_1_2_1","def test_empty_private(self):\n self.do_visible(True, None, False, is_admin=True)","async def user_unbanned_button(self, payload: discord.RawReactionActionEvent) -> None:\n\n self.bits = flip_action_bits(LoggingActions.USER_UNBANNED, self.bits)\n await self.update_embed()","def clearButton(self):\n\n\t\traise foundations.exceptions.ProgrammingError(\n\t\t\"{0} | '{1}' attribute is not deletable!\".format(self.__class__.__name__, \"clearButton\"))","def okToUnblockVis(self):\n self.cancelUnblockVis()","def test_unarchive_run(self):\n pass","def test_remove_plugin_before_published(self):\n # add a page\n page_data = self.get_new_page_data()\n response = self.client.post(URL_CMS_PAGE_ADD, page_data)\n page = Page.objects.all()[0]\n\n # add a plugin\n plugin_data = {\n 'plugin_type':\"TextPlugin\",\n 'language':settings.LANGUAGES[0][0],\n 'placeholder':page.placeholders.get(slot=\"body\").pk,\n }\n response = self.client.post(URL_CMS_PLUGIN_ADD, plugin_data)\n self.assertEquals(response.status_code, 200)\n self.assertEquals(int(response.content), CMSPlugin.objects.all()[0].pk)\n # there should be only 1 plugin\n self.assertEquals(CMSPlugin.objects.all().count(), 1)\n\n # delete the plugin\n plugin_data = {\n 'plugin_id': int(response.content)\n }\n remove_url = URL_CMS_PLUGIN_REMOVE\n response = self.client.post(remove_url, plugin_data)\n self.assertEquals(response.status_code, 200)\n # there should be no plugins\n self.assertEquals(0, CMSPlugin.objects.all().count())","def test_upload_step__cancel(self):\n # Set Up\n self.go_to_step(FeedUpdateWizard.UPLOAD_STEP)\n\n # Test\n response = self.client.post(\n self.WIZARD_URL,\n {\n self.WIZARD_CURRENT_STEP: FeedUpdateWizard.UPLOAD_STEP,\n \"cancel\": \"cancel\",\n },\n )\n\n # Assert\n self.assertEqual(response.status_code, 200)\n response.context_data[\"wizard\"][\"form\"].errors.get_json_data()\n assert \"publish/feed_publish_cancel.html\" in [\n t.name for t in response.templates\n ]","def test_publish_event_as_publisher_when_event_does_not_exist(self):\n e = self.make_event()\n e.save()\n other_id = ObjectId()\n resp = self.request_with_role('/admin/events/publish/%s' % other_id, role='publisher',\n method='POST', follow_redirects=True)\n self.assertIn('Invalid event id', resp.data)\n self.assertEqual(resp.status_code, 200)\n self.assertEqual(Event.objects(published=True).count(), 0)","def test_permission_remove_action_not_granted(self):\n test_name = sys._getframe().f_code.co_name\n rv, output = self._execute('permission remove anonymous TICKET_CREATE')\n self.assertEqual(2, rv)\n self.assertEqual(self.expected_results[test_name], output)","def test_publish_with_delete_screenshot(self):\n user = User.objects.create_user(username='testuser')\n review_request = self.create_review_request(target_people=[user])\n attachment = self.create_screenshot(review_request,\n caption='File 1')\n review_request.publish(review_request.submitter)\n\n draft = ReviewRequestDraft.create(review_request)\n self.assertEqual(draft.screenshots_count, 1)\n self.assertEqual(draft.inactive_screenshots_count, 0)\n self.assertEqual(review_request.screenshots_count, 1)\n self.assertEqual(review_request.inactive_screenshots_count, 0)\n\n draft.screenshots.remove(attachment)\n draft.inactive_screenshots.add(attachment)\n\n self.assertEqual(draft.screenshots_count, 0)\n self.assertEqual(draft.inactive_screenshots_count, 1)\n self.assertEqual(review_request.screenshots_count, 1)\n self.assertEqual(review_request.inactive_screenshots_count, 0)\n\n changes = draft.publish()\n fields = changes.fields_changed\n\n self.assertEqual(fields['screenshots'], {\n 'new': [],\n 'added': [],\n 'old': [\n (attachment.caption,\n attachment.get_absolute_url(),\n attachment.pk),\n ],\n 'removed': [\n (attachment.caption,\n attachment.get_absolute_url(),\n attachment.pk),\n ],\n })\n self.assertEqual(review_request.screenshots_count, 0)\n self.assertEqual(review_request.inactive_screenshots_count, 1)","def test_auth_public_unowned(self):\n self.do_visible(True, 'pattieblack', True, tenant='froggy')","def test_get_custom_button(self):\n pass","def unhide(self):\n self.course.quick_action(self.id, 'show')","def test_empty_public(self):\n self.do_visible(True, None, True, is_admin=True)","def test_reset_button_works_on_initial_page(self):\n response = self.client.get(self.get_url(self.study.pk), {'reset': 'Reset'}, follow=True)\n context = response.context\n self.assertIn('form', context)\n self.assertFalse(context['form'].is_bound)\n self.assertFalse(context['has_results'])\n self.assertIn('results_table', context)\n self.assertEqual(len(context['results_table'].rows), 0)","def test_reset_button_works_on_initial_page(self):\n response = self.client.get(self.get_url(self.study.pk), {'reset': 'Reset'}, follow=True)\n context = response.context\n self.assertIn('form', context)\n self.assertFalse(context['form'].is_bound)\n self.assertFalse(context['has_results'])\n self.assertIn('results_table', context)\n self.assertEqual(len(context['results_table'].rows), 0)","def test_delete_but_no_view_permission(client):\n user = user_with_permissions(\"polls.delete_poll\")\n\n url = reverse(\"admin:index\")\n client.force_login(user)\n\n response = client.get(url)\n assert parse_sidemenu(response) == {\"Global\": [\"/en/admin/\"], \"Polls\": [None]}","def test_post_no_permission(self):\n self.user.user_permissions.clear()\n response = self._post()\n self.assertRedirectsToLogin(response)\n self.assertEquals(self.model.objects.count(), 1)","def click_remove_dispute_button_without_selection(self):\n remove_dispute_button_element = self.wait().until(EC.element_to_be_clickable(self.remove_dispute_button_locator), 'remove dispute button locator not found before specified time out')\n remove_dispute_button_element.click()\n self.wait_for_ajax_spinner_load()\n try:\n self.wait().until(EC.presence_of_element_located(self.error_message_locator), 'error message locator not found before specified time out')\n self.wait_for_ajax_spinner_load()\n ok_button_element = self.wait().until(EC.element_to_be_clickable(self.ok_button_locator), 'ok button locator not found before specified time out')\n ok_button_element.click()\n except:\n raise\n self.wait_for_ajax_spinner_load()","def test_unverified_consumer(self):\n self.prep_consumer()\n UnqualifiedConsumerEmailTask().run(test_mode=self.consumer)\n self.common_asserts()\n self.assertTrue('Confirm your email address with a single click.' in\n mail.outbox[0].alternatives[0][0])\n self.assertTrue('Use this link to confirm your email address' in\n mail.outbox[0].body)","def test_destroy_not_owner(self):\n\n self.assertEqual(first=1, second=Post.objects.all().count())\n url = reverse('post-detail', args=(self.post.id,))\n self.client.credentials(HTTP_AUTHORIZATION=self.token_1)\n response = self.client.delete(path=url)\n self.assertEqual(first=403, second=response.status_code)\n self.assertEqual(first=1, second=Post.objects.all().count())","def test_post_creation_unauthenticated(self):\n url = reverse('post-list', args=[self.topic1.url_name])\n payload = {\n 'author': self.user1.id,\n 'title': 'Creating a post while being unauthenticated',\n 'content': 'Rich content 5',\n }\n response = self.client.post(url, payload)\n\n self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)\n new_post = Post.objects.filter(\n author=self.user1,\n title=payload.get('title'),\n content=payload.get('content'),\n topic=self.topic1\n )\n self.assertFalse(new_post.exists())","def test_published_story_must_be_visible_for_everyone_but_blocked(self):\n self.assertEqual(self.ps.is_visible_for(self.au), True)\n\n \"\"\" Published story must be visible for another.\"\"\"\n self.assertEqual(self.ps.is_visible_for(self.u2), True)\n\n \"\"\" Publsihed story must be visible for owner. \"\"\"\n self.assertEqual(self.ps.is_visible_for(self.u1), True)\n\n \"\"\" Draft story must not be visible for a blocked user. \"\"\"\n self.assertEqual(self.ds.is_visible_for(self.u3), False)","def test_untar(self):"],"string":"[\n \"def test_unpublish_button_appears(self):\\n response = self.client.get(reverse('wagtailnews:index', kwargs={\\n 'pk': self.index.pk}))\\n self.assertContains(response, self.url)\",\n \"def test_unpublish_as_publisher(self):\\n e = self.make_event()\\n e.published=True\\n e.save()\\n resp = self.request_with_role('/admin/events/unpublish/%s' % e.id, role='publisher',\\n method='POST', follow_redirects=True)\\n self.assertIn('Event unpublished', resp.data)\\n self.assertEqual(resp.status_code, 200)\\n self.assertEqual(Event.objects(published=False).count(), 1)\",\n \"def test_unpublish_as_editor(self):\\n e = self.make_event()\\n e.published=True\\n e.save()\\n resp = self.request_with_role('/admin/events/unpublish/%s' % e.id, role='editor',\\n method='POST')\\n self.assertEqual(resp.status_code, 401)\\n self.assertEqual(Event.objects(published=False).count(), 0)\",\n \"def test_unpublish_event_as_publisher_when_event_does_not_exist(self):\\n e = self.make_event()\\n e.published=True\\n e.save()\\n other_id = ObjectId()\\n resp = self.request_with_role('/admin/events/unpublish/%s' % other_id, role='publisher',\\n method='POST', follow_redirects=True)\\n self.assertIn('Invalid event id', resp.data)\\n self.assertEqual(resp.status_code, 200)\\n self.assertEqual(Event.objects(published=False).count(), 0)\",\n \"def test_no_edit_button_appears(self):\\n response = self.client.get(reverse('wagtailnews:index', kwargs={\\n 'pk': self.index.pk}))\\n self.assertNotContains(response, self.url)\",\n \"def test_no_tagging_button(self):\\n response = self.client.get(self.get_url(self.trait.pk))\\n context = response.context\\n self.assertNotContains(response, reverse('trait_browser:source:traits:tagging', kwargs={'pk': self.trait.pk}))\\n self.assertFalse(context['show_tag_button'])\",\n \"def test_that_not_logged_in_does_not_shows_edit_button(testapp):\\n html = testapp.get('/journal/1').html\\n assert not html.find('main').a\",\n \"def test_no_delete_button_appears_edit(self):\\n response = self.client.get(reverse('wagtailnews:edit', kwargs={\\n 'pk': self.index.pk, 'newsitem_pk': self.newsitem.pk}))\\n self.assertNotContains(response, self.url)\",\n \"def test_no_add_button_appears(self):\\n response = self.client.get(reverse('wagtailnews:index', kwargs={\\n 'pk': self.index.pk}))\\n self.assertNotContains(response, self.url)\",\n \"def test_should_render_with_unpublished(self) -> None:\\n self.assertFalse(self.action.should_render(\\n context=self._create_request_context(public=False)))\",\n \"def test_no_tagging_button_if_deprecated(self):\\n study_version = self.trait.source_dataset.source_study_version\\n study_version.i_is_deprecated = True\\n study_version.save()\\n response = self.client.get(self.get_url(self.trait.pk))\\n context = response.context\\n self.assertFalse(context['show_tag_button'])\\n self.assertNotContains(response, reverse('trait_browser:source:traits:tagging', kwargs={'pk': self.trait.pk}))\",\n \"def test_no_tagging_button_if_deprecated(self):\\n study_version = self.trait.source_dataset.source_study_version\\n study_version.i_is_deprecated = True\\n study_version.save()\\n response = self.client.get(self.get_url(self.trait.pk))\\n context = response.context\\n self.assertFalse(context['show_tag_button'])\\n self.assertNotContains(response, reverse('trait_browser:source:traits:tagging', kwargs={'pk': self.trait.pk}))\",\n \"def test_registration_closed_button(self):\\n\\n participation_block = self.event_page.participation_block\\n self.assertFalse(participation_block.is_button_clickable())\",\n \"def test_should_render_for_owner_unpublished(self) -> None:\\n self.assertTrue(self.action.should_render(\\n context=self._create_request_context(\\n public=False)))\",\n \"def unpublish_action(modeladmin, request, queryset):\\n\\n count = queryset.filter(published=True).update(published=False)\\n messages.info(request, f\\\"Unpublished {count} objects\\\")\",\n \"def test_empty_ui(self):\",\n \"def test_no_delete_button_appears_index(self):\\n response = self.client.get(reverse('wagtailnews:index', kwargs={\\n 'pk': self.index.pk}))\\n self.assertNotContains(response, self.url)\",\n \"def _test_display_up_button(self):\\n return (self.product_displays.top_index > 0)\",\n \"def btn_unfollow_clicked(self, widget, data=None):\\n print \\\"unfollow clicked\\\"\",\n \"def test_filter_not_available_plugins(plugin_dialog_constructor):\\n item = plugin_dialog_constructor.available_list.item(0)\\n widget = plugin_dialog_constructor.available_list.itemWidget(item)\\n if widget:\\n assert not widget.action_button.isEnabled()\\n assert widget.warning_tooltip.isVisible()\\n\\n item = plugin_dialog_constructor.available_list.item(1)\\n widget = plugin_dialog_constructor.available_list.itemWidget(item)\\n assert widget.action_button.isEnabled()\\n assert not widget.warning_tooltip.isVisible()\",\n \"def test_public_status_page_remove_authorization_from_public_status_page(self):\\n pass\",\n \"def test_delete_custom_button(self):\\n pass\",\n \"def soft_assert_cannot_make_proposal(info_page, soft_assert):\\n soft_assert.expect(not info_page.is_propose_changes_btn_exists,\\n \\\"'Propose Changes' button should not be displayed.\\\")\",\n \"def test_unsubscribe_instructions(self):\\n w = watch(save=True)\\n template = Template('{% load unsubscribe_instructions %}'\\n '{% unsubscribe_instructions watch %}')\\n assert w.unsubscribe_url() in template.render(Context({'watch': w}))\",\n \"def _clicked_no_button(self):\\n self.yes = False\",\n \"def website_publish_button(self):\\n if self.website_published:\\n self.write({'website_published': False})\\n else:\\n self.write({'website_published': True})\",\n \"def unpublish_item_action(modeladmin, request, queryset):\\n\\n count = queryset.filter(published=True).update(published=False)\\n asset_count = Asset.objects.filter(item__in=queryset, published=True).update(\\n published=False\\n )\\n\\n messages.info(request, f\\\"Unpublished {count} items and {asset_count} assets\\\")\",\n \"def test_unshare_template_registration(self):\\n pass\",\n \"def test_recentactions_without_content_type(self):\\n response = self.client.get(reverse(\\\"admin:index\\\"))\\n link = reverse(\\\"admin:admin_utils_article_change\\\", args=(quote(self.a1.pk),))\\n should_contain = \\\"\\\"\\\"<a href=\\\"%s\\\">%s</a>\\\"\\\"\\\" % (\\n escape(link),\\n escape(repr(self.a1)),\\n )\\n self.assertContains(response, should_contain)\\n should_contain = \\\"Article\\\"\\n self.assertContains(response, should_contain)\\n logentry = LogEntry.objects.get(content_type__model__iexact=\\\"article\\\")\\n # If the log entry doesn't have a content type it should still be\\n # possible to view the Recent Actions part (#10275).\\n logentry.content_type = None\\n logentry.save()\\n\\n should_contain = should_contain.encode()\\n counted_presence_before = response.content.count(should_contain)\\n response = self.client.get(reverse(\\\"admin:index\\\"))\\n counted_presence_after = response.content.count(should_contain)\\n self.assertEqual(counted_presence_before - 1, counted_presence_after)\",\n \"def test_homepage_has_correct_buttons_showing_when_not_logged_in(testapp):\\n html = testapp.get('/').html\\n logout = html.find(class_=\\\"navbar-right\\\").text\\n create = html.find(href=\\\"http://localhost/journal/new-entry\\\")\\n assert logout == '\\\\n Login\\\\n'\\n assert not create\",\n \"async def test_availability_without_topic(\\n hass: HomeAssistant, mqtt_mock_entry: MqttMockHAClientGenerator\\n) -> None:\\n await help_test_availability_without_topic(\\n hass, mqtt_mock_entry, select.DOMAIN, DEFAULT_CONFIG\\n )\",\n \"def test_default_publish(self):\\n self.assertIs(self.photo.published, 'Public')\",\n \"def check_deletable(self):\\n item = self.albums_artists.currentItem()\\n self.delete_button.setEnabled(False)\\n if item in self.new_artists:\\n self.delete_button.setEnabled(True)\",\n \"def test_chooser_has_perms_no_news(self):\\n response = self.client.get(reverse('wagtailnews:choose'))\\n self.assertEqual(response.status_code, 200)\",\n \"def test_delete_button_appears_edit(self):\\n response = self.client.get(reverse('wagtailnews:edit', kwargs={\\n 'pk': self.index.pk, 'newsitem_pk': self.newsitem.pk}))\\n self.assertContains(response, self.url)\",\n \"def killSubscribers(self):\\n if (self.off_TB1_Viewer.isChecked()):\\n pass\",\n \"def unpublish(id):\\n db = core.connect()\\n theShift = db[id]\\n theShift[\\\"publishData\\\"][\\\"draft\\\"] = True\\n db[id] = theShift\",\n \"def test_unlike_topic_viewset(self):\\n\\n topic = TopicFactory(author=self.user)\\n self.client.post(reverse('api:topics-like', kwargs={'topic_id': topic.id}))\\n response = self.client.post(reverse('api:topics-unlike', kwargs={'topic_id': topic.id}))\\n self.assertEqual(response.status_code, status.HTTP_200_OK)\\n obj_type = ContentType.objects.get_for_model(topic)\\n likes = Like.objects.filter(\\n content_type=obj_type, object_id=topic.id, user=self.user)\\n self.assertFalse(likes.exists())\",\n \"def test_can_not_add_more(self):\\n set_up_one_user(self, 1, 0)\\n login = self.client.login(username='test', password='2HJ1vRV0Z&3iD')\\n response = self.client.get(reverse('index'))\\n self.assertEqual(response.status_code, 200)\\n self.assertContains(response, '<button id=\\\"modalButton\\\" type=\\\"button\\\" class=\\\"btn btn-info\\\" data-toggle=\\\"modal\\\" data-target=\\\"#myModal\\\" disabled=\\\"True\\\">Add new notification</button>')\",\n \"def test_not_logged_in(self):\\n\\n # test show album\\n self.perm_escalate_helper(self.albumcontrol, self.showalbumrequest, self.testalbum, self.testalbum.id,\\n AnonymousUser(), album.display_album, ALBUM_PUBLIC)\\n\\n # test photo view\\n self.perm_escalate_helper_get_with_client(self.albumcontrol, self.testalbum, self.photo.id,\\n \\\"photoid\\\", \\\"show_photo\\\", ALBUM_PUBLIC)\\n\\n # test individual photo view page\\n self.perm_escalate_helper(self.albumcontrol, self.indivphotorequest, self.testalbum, self.photo.id,\\n AnonymousUser(), album.display_photo, ALBUM_PUBLIC)\",\n \"def test_post_no_permission(self):\\n self.user.user_permissions.clear()\\n response = self._post()\\n self.assertRedirectsToLogin(response)\\n self._assert_no_change()\",\n \"def test_update_custom_button(self):\\n pass\",\n \"def test_pending(self):\\n actions = signoff_actions(appversions={\\\"code\\\": \\\"fx1.0\\\"},\\n locales={\\\"code\\\": \\\"pl\\\"})\\n actions = list(actions)\\n eq_(len(actions), 1)\\n so = Signoff.objects.get(action=actions[0][0])\\n eq_(so.push.tip.shortrev, \\\"l10n pl 0003\\\")\\n eq_(so.locale.code, \\\"pl\\\")\\n eq_(so.action_set.count(), 1)\",\n \"def test_valid_update_post_form_with_unpublish_article(\\n self, proto_post, proto_user\\n ):\\n testfile = (\\n b\\\"\\\\x47\\\\x49\\\\x46\\\\x38\\\\x39\\\\x61\\\\x01\\\\x00\\\\x01\\\\x00\\\\x00\\\\x00\\\\x00\\\\x21\\\\xf9\\\\x04\\\"\\n b\\\"\\\\x01\\\\x0a\\\\x00\\\\x01\\\\x00\\\\x2c\\\\x00\\\\x00\\\\x00\\\\x00\\\\x01\\\\x00\\\\x01\\\\x00\\\\x00\\\\x02\\\"\\n b\\\"\\\\x02\\\\x4c\\\\x01\\\\x00\\\\x3b\\\"\\n )\\n data = {\\n \\\"title\\\": \\\"This is the modified title\\\",\\n \\\"categories\\\": [36, 37],\\n \\\"overview\\\": \\\"This is the modified overview\\\",\\n \\\"content\\\": \\\"This is the modified content\\\",\\n \\\"featured\\\": True,\\n \\\"status\\\": 0,\\n }\\n form = EditForm(\\n data,\\n {\\n \\\"thumbnail\\\": SimpleUploadedFile(\\n \\\"small.gif\\\",\\n testfile,\\n content_type=\\\"image/gif\\\",\\n )\\n },\\n )\\n assert form.is_valid()\",\n \"def test_user_can_not_enroll_to_unpublished_project(self):\\n self.client.force_authenticate(self.global_user_1)\\n\\n # Make sure nothing is found - not enrolled.\\n resp = self.client.get(self.api_project_state_not_enrolled_unpublished_url)\\n self.assertEqual(resp.status_code, 404)\\n\\n #NOTE: Allowed!\\n # # POST and make sure the user is enrolled\\n # resp = self.client.post(self.api_project_state_not_enrolled_unpublished_url)\\n # self.assertEqual(resp.status_code, 403)\\n # resp = self.client.get(self.api_project_state_not_enrolled_unpublished_url)\\n # self.assertEqual(resp.status_code, 404)\",\n \"def test_public_status_page_delete_public_status_page(self):\\n pass\",\n \"def dnt_share_app():\\r\\n msg, status = \\\"\\\", True\\r\\n try:\\r\\n\\r\\n 'Click on Do not share button'\\r\\n flag1 = ui_controls.button(get_obj_identifier('a'))\\r\\n #flag2 = ui_controls.button(get_obj_identifier('share_dontShare_btn'))\\r\\n \\r\\n \\r\\n\\r\\n status = False if not(flag1) else True\\r\\n except Exception as excp:\\r\\n traceback.print_exc()\\r\\n msg += str(excp)\\r\\n status = False\\r\\n return status, msg\",\n \"def test_publish_without_history_not_finalized(self):\\n with override_feature_check(dvcs_feature.feature_id, enabled=True):\\n review_request = self.create_review_request(\\n create_repository=True)\\n diffset = self.create_diffset(review_request, draft=True)\\n draft = review_request.get_draft()\\n draft.target_people.add(review_request.submitter)\\n self.create_filediff(diffset=diffset)\\n\\n draft.publish()\\n\\n review_request = ReviewRequest.objects.get(pk=review_request.pk)\\n self.assertEqual(review_request.status,\\n ReviewRequest.PENDING_REVIEW)\",\n \"def test_should_render_user_with_can_change_status_and_unpublished(\\n self,\\n ) -> None:\\n self.assertFalse(self.action.should_render(\\n context=self._create_request_context(\\n can_change_status=True,\\n public=False,\\n user=self.create_user())))\",\n \"def test_unsubscribe_offer(self):\\n pass\",\n \"def test_no_tagged_trait_remove_button(self):\\n tagged_traits = TaggedTraitFactory.create_batch(3, trait=self.trait)\\n response = self.client.get(self.get_url(self.trait.pk))\\n context = response.context\\n for (a, b) in context['tagged_traits_with_xs']:\\n self.assertFalse(b)\\n for tt in tagged_traits:\\n self.assertNotContains(response, reverse('tags:tagged-traits:pk:delete', kwargs={'pk': tt.pk}))\",\n \"def test_unauthenticated(self):\\n self.logout_user()\\n\\n response = self.client.get(self.api_link)\\n self.assertContains(response, \\\"sign in to use private threads\\\", status_code=403)\",\n \"def hide_main_buttons(self):\\n pass\",\n \"def test_edit_button_appears(self):\\n response = self.client.get(reverse('wagtailnews:index', kwargs={\\n 'pk': self.index.pk}))\\n self.assertContains(response, self.url)\",\n \"def test_no_tagged_trait_remove_buttons_if_reviewed(self):\\n tagged_traits = TaggedTraitFactory.create_batch(3, trait=self.trait)\\n dcc_review = DCCReviewFactory.create(tagged_trait=tagged_traits[0], status=DCCReview.STATUS_FOLLOWUP)\\n response = self.client.get(self.get_url(self.trait.pk))\\n context = response.context\\n for (a, b) in context['tagged_traits_with_xs']:\\n if a == dcc_review.tagged_trait:\\n self.assertFalse(b)\\n else:\\n self.assertTrue(b)\\n self.assertNotContains(response, reverse('tags:tagged-traits:pk:delete', kwargs={'pk': tagged_traits[0].pk}))\\n self.assertContains(response, reverse('tags:tagged-traits:pk:delete', kwargs={'pk': tagged_traits[1].pk}))\",\n \"def test_no_tagged_trait_remove_buttons_if_reviewed(self):\\n tagged_traits = TaggedTraitFactory.create_batch(3, trait=self.trait)\\n dcc_review = DCCReviewFactory.create(\\n tagged_trait=tagged_traits[0], status=DCCReview.STATUS_FOLLOWUP)\\n response = self.client.get(self.get_url(self.trait.pk))\\n context = response.context\\n for (a, b) in context['tagged_traits_with_xs']:\\n if a == dcc_review.tagged_trait:\\n self.assertFalse(b)\\n else:\\n self.assertTrue(b)\\n self.assertNotContains(response, reverse('tags:tagged-traits:pk:delete', kwargs={'pk': tagged_traits[0].pk}))\\n self.assertContains(response, reverse('tags:tagged-traits:pk:delete', kwargs={'pk': tagged_traits[1].pk}))\",\n \"def test_rejected(self):\\n actions = signoff_actions(appversions={\\\"code\\\": \\\"fx1.0\\\"},\\n locales={\\\"code\\\": \\\"fr\\\"})\\n actions = list(actions)\\n eq_(len(actions), 1)\\n eq_(actions[0][1], Action.REJECTED)\\n so = Signoff.objects.get(action=actions[0][0])\\n eq_(so.push.tip.shortrev, \\\"l10n fr 0003\\\")\\n eq_(so.locale.code, \\\"fr\\\")\\n eq_(so.action_set.count(), 2)\",\n \"def test_top_archive_view_does_not_link(self):\\n TopSubmissionForm(data={'category': self.categories[0].id,\\n 'submission': self.ideas[2].id,\\n 'rank': 2},\\n debate=self.debate).save()\\n rsp = self.client.get(self.url(self.categories[0].slug))\\n self.assertNotContains(rsp, self.ideas[2].get_absolute_url())\",\n \"def test_no_tagged_trait_remove_button_for_other_study(self):\\n other_trait = factories.SourceTraitFactory.create()\\n tagged_trait = TaggedTrait.objects.create(tag=self.tag, trait=other_trait, creator=self.user)\\n response = self.client.get(self.get_url(other_trait.pk))\\n context = response.context\\n for (a, b) in context['tagged_traits_with_xs']:\\n self.assertFalse(b)\\n self.assertNotContains(response, reverse('tags:tagged-traits:pk:delete', kwargs={'pk': self.tag.pk}))\",\n \"def test_unlisted_addon(self):\\n addon = Addon.objects.get(pk=3615)\\n self.make_addon_unlisted(addon)\\n\\n up = self.get(self.good_data)\\n assert up.is_valid()\",\n \"def test_unpopular(self):\\n self.assertFalse(self.user3.is_popular())\\n self.user3.receive_upvotes(randint(101, 10000))\\n self.assertTrue(self.user3.is_popular())\",\n \"def test_bond_buttons_inactive(self):\\n self.assertFalse(PageObject.find_element\\n (InterfacesSettings(), 'bond_interfaces').\\n is_enabled())\\n self.assertFalse(PageObject.find_element\\n (InterfacesSettings(), 'unbond_interfaces').\\n is_enabled())\",\n \"def test_no_tagged_trait_remove_buttons_if_confirmed(self):\\n tagged_traits = TaggedTraitFactory.create_batch(3, trait=self.trait)\\n dcc_review = DCCReviewFactory.create(tagged_trait=tagged_traits[0], status=DCCReview.STATUS_CONFIRMED)\\n response = self.client.get(self.get_url(self.trait.pk))\\n context = response.context\\n for (a, b) in context['tagged_traits_with_xs']:\\n if a == dcc_review.tagged_trait:\\n self.assertFalse(b)\\n else:\\n self.assertTrue(b)\\n self.assertNotContains(response, reverse('tags:tagged-traits:pk:delete', kwargs={'pk': tagged_traits[0].pk}))\\n self.assertContains(response, reverse('tags:tagged-traits:pk:delete', kwargs={'pk': tagged_traits[1].pk}))\",\n \"async def test_flow_link_button_not_pressed(hass: HomeAssistant) -> None:\\n disc_bridge = get_discovered_bridge()\\n with patch(\\n \\\"homeassistant.components.hue.config_flow.discover_nupnp\\\",\\n return_value=[disc_bridge],\\n ):\\n result = await hass.config_entries.flow.async_init(\\n const.DOMAIN, context={\\\"source\\\": config_entries.SOURCE_USER}\\n )\\n\\n with patch.object(config_flow, \\\"create_app_key\\\", side_effect=LinkButtonNotPressed):\\n result = await hass.config_entries.flow.async_configure(\\n result[\\\"flow_id\\\"], user_input={\\\"id\\\": disc_bridge.id}\\n )\\n\\n result = await hass.config_entries.flow.async_configure(\\n result[\\\"flow_id\\\"], user_input={}\\n )\\n\\n assert result[\\\"type\\\"] == \\\"form\\\"\\n assert result[\\\"step_id\\\"] == \\\"link\\\"\\n assert result[\\\"errors\\\"] == {\\\"base\\\": \\\"register_failed\\\"}\",\n \"def test_publish_without_summary(self):\\n review_request = self.create_review_request()\\n draft = ReviewRequestDraft.create(review_request)\\n\\n target_person = User.objects.get(username='doc')\\n\\n draft.description = 'New description'\\n draft.testing_done = 'New testing done'\\n draft.branch = 'New branch'\\n draft.bugs_closed = '12, 34, 56'\\n draft.target_people.add(target_person)\\n # Summary is set by default in create_review_request\\n draft.summary = ''\\n\\n error_message = 'The draft must have a summary.'\\n\\n with self.assertRaisesMessage(PublishError, error_message):\\n draft.publish()\",\n \"def test_page_list_unauthorised(self):\\n user = self.get_superuser()\\n title_1 = 'page'\\n title_2 = 'inner'\\n title_3 = 'page 3'\\n page = create_page(title_1, 'page.html', 'en', published=True)\\n page_2 = create_page(title_2, 'page.html', 'en', published=True, parent=page)\\n page_3 = create_page(title_3, 'page.html', 'en', published=False)\\n\\n url = reverse('api:page-list')\\n response = self.client.get(url, format='json')\\n self.assertEqual(len(response.data), 2)\\n for page in response.data:\\n self.assertIn(page.get('title'), {title_1, title_2})\",\n \"def test_no_tagged_trait_remove_buttons_if_confirmed(self):\\n tagged_traits = TaggedTraitFactory.create_batch(3, trait=self.trait)\\n dcc_review = DCCReviewFactory.create(\\n tagged_trait=tagged_traits[0], status=DCCReview.STATUS_CONFIRMED)\\n response = self.client.get(self.get_url(self.trait.pk))\\n context = response.context\\n for (a, b) in context['tagged_traits_with_xs']:\\n if a == dcc_review.tagged_trait:\\n self.assertFalse(b)\\n else:\\n self.assertTrue(b)\\n self.assertNotContains(response, reverse('tags:tagged-traits:pk:delete', kwargs={'pk': tagged_traits[0].pk}))\\n self.assertContains(response, reverse('tags:tagged-traits:pk:delete', kwargs={'pk': tagged_traits[1].pk}))\",\n \"def test_is_revoked(self):\\n self.assertEqual(self.project.is_revoked(), False)\",\n \"def test_no_delete_permission(client):\\n user = user_with_permissions(\\\"polls.view_poll\\\")\\n poll = Poll.objects.create(owner=user, text=\\\"question\\\")\\n\\n url = reverse(\\\"admin:polls_poll_change\\\", args=(poll.pk,))\\n delete_url = reverse(\\\"admin:polls_poll_delete\\\", args=(poll.pk,))\\n client.force_login(user)\\n\\n response = client.get(url)\\n assert delete_url not in response.content.decode()\",\n \"def test_post_no_permission(self):\\n self.user.user_permissions.clear()\\n response = self._post()\\n self.assertRedirectsToLogin(response)\\n self.assertEquals(self.model.objects.count(), 0)\",\n \"def test_delete_button_appears_index(self):\\n response = self.client.get(reverse('wagtailnews:index', kwargs={\\n 'pk': self.index.pk}))\\n self.assertContains(response, self.url)\",\n \"def remove_autoposting():\\n try:\\n autopost_delete = driver.find_element_by_class_name('btn-outline-danger')\\n autopost_delete.click()\\n click_on('delete')\\n wait()\\n except Exception as e:\\n return \\\"Error: \\\" + str(e)\\n return \\\"Success\\\"\",\n \"def test_valid_add_post_form_with_unpublish_article(\\n self, proto_post, proto_user\\n ):\\n testfile = (\\n b\\\"\\\\x47\\\\x49\\\\x46\\\\x38\\\\x39\\\\x61\\\\x01\\\\x00\\\\x01\\\\x00\\\\x00\\\\x00\\\\x00\\\\x21\\\\xf9\\\\x04\\\"\\n b\\\"\\\\x01\\\\x0a\\\\x00\\\\x01\\\\x00\\\\x2c\\\\x00\\\\x00\\\\x00\\\\x00\\\\x01\\\\x00\\\\x01\\\\x00\\\\x00\\\\x02\\\"\\n b\\\"\\\\x02\\\\x4c\\\\x01\\\\x00\\\\x3b\\\"\\n )\\n data = {\\n \\\"title\\\": \\\"This is the added title\\\",\\n \\\"author\\\": proto_user,\\n \\\"categories\\\": [6, 7],\\n \\\"overview\\\": \\\"This is the added overview\\\",\\n \\\"content\\\": \\\"This is the added content\\\",\\n \\\"featured\\\": True,\\n \\\"status\\\": 0,\\n }\\n form = PostForm(\\n data,\\n {\\n \\\"thumbnail\\\": SimpleUploadedFile(\\n \\\"small.gif\\\",\\n testfile,\\n content_type=\\\"image/gif\\\",\\n )\\n },\\n )\\n assert form.is_valid()\",\n \"def _test_display_down_button(self):\\n return (self.product_displays.top_index + self.limits.screen_products) < len(self.product_displays)\",\n \"def canUnpublish(id, userId):\\n db = core.connect()\\n theShift = db[id]\\n return user.isAdmin(userId) or (userId == theShift['createdBy'])\",\n \"def test_no_unlisted(self):\\n Version.objects.get(pk=self.version_1_2_2).update(\\n channel=amo.RELEASE_CHANNEL_UNLISTED)\\n self.addon.reload()\\n assert self.addon.status == amo.STATUS_PUBLIC\\n version, file = self.get('1.2', self.version_int,\\n self.app, self.platform)\\n assert version == self.version_1_2_1\",\n \"def test_empty_private(self):\\n self.do_visible(True, None, False, is_admin=True)\",\n \"async def user_unbanned_button(self, payload: discord.RawReactionActionEvent) -> None:\\n\\n self.bits = flip_action_bits(LoggingActions.USER_UNBANNED, self.bits)\\n await self.update_embed()\",\n \"def clearButton(self):\\n\\n\\t\\traise foundations.exceptions.ProgrammingError(\\n\\t\\t\\\"{0} | '{1}' attribute is not deletable!\\\".format(self.__class__.__name__, \\\"clearButton\\\"))\",\n \"def okToUnblockVis(self):\\n self.cancelUnblockVis()\",\n \"def test_unarchive_run(self):\\n pass\",\n \"def test_remove_plugin_before_published(self):\\n # add a page\\n page_data = self.get_new_page_data()\\n response = self.client.post(URL_CMS_PAGE_ADD, page_data)\\n page = Page.objects.all()[0]\\n\\n # add a plugin\\n plugin_data = {\\n 'plugin_type':\\\"TextPlugin\\\",\\n 'language':settings.LANGUAGES[0][0],\\n 'placeholder':page.placeholders.get(slot=\\\"body\\\").pk,\\n }\\n response = self.client.post(URL_CMS_PLUGIN_ADD, plugin_data)\\n self.assertEquals(response.status_code, 200)\\n self.assertEquals(int(response.content), CMSPlugin.objects.all()[0].pk)\\n # there should be only 1 plugin\\n self.assertEquals(CMSPlugin.objects.all().count(), 1)\\n\\n # delete the plugin\\n plugin_data = {\\n 'plugin_id': int(response.content)\\n }\\n remove_url = URL_CMS_PLUGIN_REMOVE\\n response = self.client.post(remove_url, plugin_data)\\n self.assertEquals(response.status_code, 200)\\n # there should be no plugins\\n self.assertEquals(0, CMSPlugin.objects.all().count())\",\n \"def test_upload_step__cancel(self):\\n # Set Up\\n self.go_to_step(FeedUpdateWizard.UPLOAD_STEP)\\n\\n # Test\\n response = self.client.post(\\n self.WIZARD_URL,\\n {\\n self.WIZARD_CURRENT_STEP: FeedUpdateWizard.UPLOAD_STEP,\\n \\\"cancel\\\": \\\"cancel\\\",\\n },\\n )\\n\\n # Assert\\n self.assertEqual(response.status_code, 200)\\n response.context_data[\\\"wizard\\\"][\\\"form\\\"].errors.get_json_data()\\n assert \\\"publish/feed_publish_cancel.html\\\" in [\\n t.name for t in response.templates\\n ]\",\n \"def test_publish_event_as_publisher_when_event_does_not_exist(self):\\n e = self.make_event()\\n e.save()\\n other_id = ObjectId()\\n resp = self.request_with_role('/admin/events/publish/%s' % other_id, role='publisher',\\n method='POST', follow_redirects=True)\\n self.assertIn('Invalid event id', resp.data)\\n self.assertEqual(resp.status_code, 200)\\n self.assertEqual(Event.objects(published=True).count(), 0)\",\n \"def test_permission_remove_action_not_granted(self):\\n test_name = sys._getframe().f_code.co_name\\n rv, output = self._execute('permission remove anonymous TICKET_CREATE')\\n self.assertEqual(2, rv)\\n self.assertEqual(self.expected_results[test_name], output)\",\n \"def test_publish_with_delete_screenshot(self):\\n user = User.objects.create_user(username='testuser')\\n review_request = self.create_review_request(target_people=[user])\\n attachment = self.create_screenshot(review_request,\\n caption='File 1')\\n review_request.publish(review_request.submitter)\\n\\n draft = ReviewRequestDraft.create(review_request)\\n self.assertEqual(draft.screenshots_count, 1)\\n self.assertEqual(draft.inactive_screenshots_count, 0)\\n self.assertEqual(review_request.screenshots_count, 1)\\n self.assertEqual(review_request.inactive_screenshots_count, 0)\\n\\n draft.screenshots.remove(attachment)\\n draft.inactive_screenshots.add(attachment)\\n\\n self.assertEqual(draft.screenshots_count, 0)\\n self.assertEqual(draft.inactive_screenshots_count, 1)\\n self.assertEqual(review_request.screenshots_count, 1)\\n self.assertEqual(review_request.inactive_screenshots_count, 0)\\n\\n changes = draft.publish()\\n fields = changes.fields_changed\\n\\n self.assertEqual(fields['screenshots'], {\\n 'new': [],\\n 'added': [],\\n 'old': [\\n (attachment.caption,\\n attachment.get_absolute_url(),\\n attachment.pk),\\n ],\\n 'removed': [\\n (attachment.caption,\\n attachment.get_absolute_url(),\\n attachment.pk),\\n ],\\n })\\n self.assertEqual(review_request.screenshots_count, 0)\\n self.assertEqual(review_request.inactive_screenshots_count, 1)\",\n \"def test_auth_public_unowned(self):\\n self.do_visible(True, 'pattieblack', True, tenant='froggy')\",\n \"def test_get_custom_button(self):\\n pass\",\n \"def unhide(self):\\n self.course.quick_action(self.id, 'show')\",\n \"def test_empty_public(self):\\n self.do_visible(True, None, True, is_admin=True)\",\n \"def test_reset_button_works_on_initial_page(self):\\n response = self.client.get(self.get_url(self.study.pk), {'reset': 'Reset'}, follow=True)\\n context = response.context\\n self.assertIn('form', context)\\n self.assertFalse(context['form'].is_bound)\\n self.assertFalse(context['has_results'])\\n self.assertIn('results_table', context)\\n self.assertEqual(len(context['results_table'].rows), 0)\",\n \"def test_reset_button_works_on_initial_page(self):\\n response = self.client.get(self.get_url(self.study.pk), {'reset': 'Reset'}, follow=True)\\n context = response.context\\n self.assertIn('form', context)\\n self.assertFalse(context['form'].is_bound)\\n self.assertFalse(context['has_results'])\\n self.assertIn('results_table', context)\\n self.assertEqual(len(context['results_table'].rows), 0)\",\n \"def test_delete_but_no_view_permission(client):\\n user = user_with_permissions(\\\"polls.delete_poll\\\")\\n\\n url = reverse(\\\"admin:index\\\")\\n client.force_login(user)\\n\\n response = client.get(url)\\n assert parse_sidemenu(response) == {\\\"Global\\\": [\\\"/en/admin/\\\"], \\\"Polls\\\": [None]}\",\n \"def test_post_no_permission(self):\\n self.user.user_permissions.clear()\\n response = self._post()\\n self.assertRedirectsToLogin(response)\\n self.assertEquals(self.model.objects.count(), 1)\",\n \"def click_remove_dispute_button_without_selection(self):\\n remove_dispute_button_element = self.wait().until(EC.element_to_be_clickable(self.remove_dispute_button_locator), 'remove dispute button locator not found before specified time out')\\n remove_dispute_button_element.click()\\n self.wait_for_ajax_spinner_load()\\n try:\\n self.wait().until(EC.presence_of_element_located(self.error_message_locator), 'error message locator not found before specified time out')\\n self.wait_for_ajax_spinner_load()\\n ok_button_element = self.wait().until(EC.element_to_be_clickable(self.ok_button_locator), 'ok button locator not found before specified time out')\\n ok_button_element.click()\\n except:\\n raise\\n self.wait_for_ajax_spinner_load()\",\n \"def test_unverified_consumer(self):\\n self.prep_consumer()\\n UnqualifiedConsumerEmailTask().run(test_mode=self.consumer)\\n self.common_asserts()\\n self.assertTrue('Confirm your email address with a single click.' in\\n mail.outbox[0].alternatives[0][0])\\n self.assertTrue('Use this link to confirm your email address' in\\n mail.outbox[0].body)\",\n \"def test_destroy_not_owner(self):\\n\\n self.assertEqual(first=1, second=Post.objects.all().count())\\n url = reverse('post-detail', args=(self.post.id,))\\n self.client.credentials(HTTP_AUTHORIZATION=self.token_1)\\n response = self.client.delete(path=url)\\n self.assertEqual(first=403, second=response.status_code)\\n self.assertEqual(first=1, second=Post.objects.all().count())\",\n \"def test_post_creation_unauthenticated(self):\\n url = reverse('post-list', args=[self.topic1.url_name])\\n payload = {\\n 'author': self.user1.id,\\n 'title': 'Creating a post while being unauthenticated',\\n 'content': 'Rich content 5',\\n }\\n response = self.client.post(url, payload)\\n\\n self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)\\n new_post = Post.objects.filter(\\n author=self.user1,\\n title=payload.get('title'),\\n content=payload.get('content'),\\n topic=self.topic1\\n )\\n self.assertFalse(new_post.exists())\",\n \"def test_published_story_must_be_visible_for_everyone_but_blocked(self):\\n self.assertEqual(self.ps.is_visible_for(self.au), True)\\n\\n \\\"\\\"\\\" Published story must be visible for another.\\\"\\\"\\\"\\n self.assertEqual(self.ps.is_visible_for(self.u2), True)\\n\\n \\\"\\\"\\\" Publsihed story must be visible for owner. \\\"\\\"\\\"\\n self.assertEqual(self.ps.is_visible_for(self.u1), True)\\n\\n \\\"\\\"\\\" Draft story must not be visible for a blocked user. \\\"\\\"\\\"\\n self.assertEqual(self.ds.is_visible_for(self.u3), False)\",\n \"def test_untar(self):\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.8303605","0.71829754","0.69715375","0.6870269","0.67917633","0.65356666","0.65167207","0.64881694","0.6480685","0.63422185","0.6219732","0.6219732","0.62114465","0.6083142","0.60725623","0.6066293","0.60468704","0.6006602","0.5987236","0.5967933","0.59461385","0.59002","0.58606535","0.5858736","0.58390427","0.5824244","0.58158886","0.5815174","0.5811742","0.57955384","0.57919204","0.57838935","0.577822","0.5772439","0.5767721","0.57390106","0.5737836","0.5728667","0.5722976","0.5698896","0.5687649","0.56862116","0.5684401","0.5636641","0.5634289","0.5618168","0.5610633","0.5609464","0.5608225","0.55937463","0.55824924","0.55791515","0.5576422","0.5573259","0.5565131","0.5557721","0.5554826","0.5549703","0.554357","0.5532339","0.55232036","0.5515659","0.55144864","0.55137676","0.55115604","0.5499635","0.54985213","0.5498001","0.54787064","0.54734457","0.54698724","0.5460137","0.54547083","0.545407","0.54531664","0.5452539","0.54393214","0.5438829","0.5428611","0.5424581","0.5424319","0.5417455","0.54121375","0.5407736","0.54055744","0.5399631","0.5392893","0.53864515","0.5375954","0.5365134","0.5364731","0.5364731","0.5364385","0.5358531","0.5346705","0.53453225","0.53446674","0.53433883","0.53427625","0.5333119"],"string":"[\n \"0.8303605\",\n \"0.71829754\",\n \"0.69715375\",\n \"0.6870269\",\n \"0.67917633\",\n \"0.65356666\",\n \"0.65167207\",\n \"0.64881694\",\n \"0.6480685\",\n \"0.63422185\",\n \"0.6219732\",\n \"0.6219732\",\n \"0.62114465\",\n \"0.6083142\",\n \"0.60725623\",\n \"0.6066293\",\n \"0.60468704\",\n \"0.6006602\",\n \"0.5987236\",\n \"0.5967933\",\n \"0.59461385\",\n \"0.59002\",\n \"0.58606535\",\n \"0.5858736\",\n \"0.58390427\",\n \"0.5824244\",\n \"0.58158886\",\n \"0.5815174\",\n \"0.5811742\",\n \"0.57955384\",\n \"0.57919204\",\n \"0.57838935\",\n \"0.577822\",\n \"0.5772439\",\n \"0.5767721\",\n \"0.57390106\",\n \"0.5737836\",\n \"0.5728667\",\n \"0.5722976\",\n \"0.5698896\",\n \"0.5687649\",\n \"0.56862116\",\n \"0.5684401\",\n \"0.5636641\",\n \"0.5634289\",\n \"0.5618168\",\n \"0.5610633\",\n \"0.5609464\",\n \"0.5608225\",\n \"0.55937463\",\n \"0.55824924\",\n \"0.55791515\",\n \"0.5576422\",\n \"0.5573259\",\n \"0.5565131\",\n \"0.5557721\",\n \"0.5554826\",\n \"0.5549703\",\n \"0.554357\",\n \"0.5532339\",\n \"0.55232036\",\n \"0.5515659\",\n \"0.55144864\",\n \"0.55137676\",\n \"0.55115604\",\n \"0.5499635\",\n \"0.54985213\",\n \"0.5498001\",\n \"0.54787064\",\n \"0.54734457\",\n \"0.54698724\",\n \"0.5460137\",\n \"0.54547083\",\n \"0.545407\",\n \"0.54531664\",\n \"0.5452539\",\n \"0.54393214\",\n \"0.5438829\",\n \"0.5428611\",\n \"0.5424581\",\n \"0.5424319\",\n \"0.5417455\",\n \"0.54121375\",\n \"0.5407736\",\n \"0.54055744\",\n \"0.5399631\",\n \"0.5392893\",\n \"0.53864515\",\n \"0.5375954\",\n \"0.5365134\",\n \"0.5364731\",\n \"0.5364731\",\n \"0.5364385\",\n \"0.5358531\",\n \"0.5346705\",\n \"0.53453225\",\n \"0.53446674\",\n \"0.53433883\",\n \"0.53427625\",\n \"0.5333119\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.83218503"},"document_rank":{"kind":"string","value":"0"}}},{"rowIdx":86779,"cells":{"query":{"kind":"string","value":"Test users can delete NewsItems"},"document":{"kind":"string","value":"def test_has_permission(self):\n self.assertStatusCode(self.url, 200)"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def test_delete_item_using_delete(self):\n pass","def test_delete_of_an_escalated_article_with_user(self):\n token = self.user1.token()\n self.client.credentials(\n HTTP_AUTHORIZATION='Bearer ' + token)\n resp = self.delete_article()\n self.assertEqual(resp.status_code, status.HTTP_403_FORBIDDEN)\n self.assertEqual(resp.data[\"error\"], self.user_delete)","def test_a_user_can_delete_dislike(self):\n article = self.create_article()\n\n slug = article.data['data']['slug']\n self.client.post('/api/articles/{}/dislike/'.format(slug),\n HTTP_AUTHORIZATION='Bearer ' +\n self.token,\n format='json')\n dislike = self.client.post('/api/articles/{}/dislike/'.format(slug),\n HTTP_AUTHORIZATION='Bearer ' +\n self.token,\n format='json')\n\n self.assertEqual(dislike.status_code, 200)","def test_delete_collection_user(self):\n pass","def test_delete_permission(self):\r\n self.assertFalse(self.creator_admin.has_delete_permission(self.request))","def test_successfult_post_deletion(self):\n self.user.is_moderator = True\n self.user.save()\n response = self.client.delete(reverse('api:posts-detail', kwargs={'pk': self.post1.id}))\n self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)\n self.assertEqual(Post.objects.count(), 1)","def test_delete_post_by_user(self):\n\n response = self.client.delete(reverse('api:posts-detail', kwargs={'pk': self.post1.id}))\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)","def test_a_user_can_delete_like(self):\n article = self.create_article()\n\n slug = article.data['data']['slug']\n self.client.post('/api/articles/{}/like/'.format(slug),\n HTTP_AUTHORIZATION='Bearer ' +\n self.token,\n format='json')\n like = self.client.post('/api/articles/{}/like/'.format(slug),\n HTTP_AUTHORIZATION='Bearer ' +\n self.token,\n format='json')\n\n self.assertEqual(like.status_code, 200)","def test_delete(self, client, users):\n user = users[0]\n url = reverse('users:delete', args=(user.pk,))\n response = client.get(url)\n assert response.status_code == 405\n response = client.post(url)\n assert response.status_code == 302\n assert response.url == reverse('users:list')\n assert not get_user_model().objects.filter(pk=user.pk).exists()","def test_security_on_delete(self):\n # test the delete product url\n product = Product.objects.all()[0]\n url = '/product/xml/%s/' % product.item_number\n response = self.client.delete(url)\n self.failUnlessEqual(response.status_code, 401)","def test_delete(self):\n pass","def test_delete_user(self):\n pass","def test_delete_user(self):\n pass","def test_delete_of_an_escalated_article_with_admin(self):\n token = self.user3.token()\n self.client.credentials(\n HTTP_AUTHORIZATION='Bearer ' + token)\n resp = self.delete_article()\n self.assertEqual(resp.status_code, status.HTTP_200_OK)\n self.assertEqual(resp.data[\"message\"], self.admin_delete)","def test_author_delete_post(self):\n self.client.login(username=\"John\", password=\"newpass1234\")\n response = self.client.post('/posts/1/delete/')\n self.assertEqual(list(Post.objects.filter(id=1)), [])","def delete_item(self, id: str, user: User) -> bool:","def test_delete_activity(self):\n pass","def test_delete_reusableitem_api_fails(self):\n self.client.force_authenticate(user=self.user_1)\n\n response = self.client.delete(get_reusable_item_1_url(self))\n\n self.assertEqual(response.status_code, status.HTTP_500_INTERNAL_SERVER_ERROR)","def test_sort_saved_articles_DELETE_2(self):\r\n\r\n u1 = User.query.filter_by(username='testuser').one()\r\n\r\n with self.client as c:\r\n with c.session_transaction() as sess:\r\n sess[CURR_USER_KEY] = u1.id\r\n response = c.delete(f'/users/{u1.username}/saved-articles',\r\n data=f'path=_news%2F2020-04-26-test-article.md', follow_redirects=True)\r\n self.assertEqual(response.status_code, 200)","def test_delete_post_by_another_user(self):\n url = reverse(\n 'post-detail',\n args=[\n self.topic1.url_name,\n self.post1.id\n ]\n )\n self.client.credentials(\n HTTP_AUTHORIZATION = 'Token ' + self.user2.auth_token.key\n )\n response = self.client.delete(url)\n\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)\n deleted_post = Post.objects.filter(\n id=self.post1.id,\n )\n self.assertTrue(deleted_post.exists())","def test_delete_not_my_product(self):\n self._require_login(self.user1)\n response = self.client.delete('/api/1.0/products/2/')\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)","def test_products_ref_users_delete(self):\n pass","def test_mass_delete(self):\n test_date = datetime.now() + timedelta(days=180)\n\n for i in range(10):\n response = self.client.post(reverse('misago:admin:users:bans:new'), data={\n 'check_type': '1',\n 'banned_value': '%stest@test.com' % i,\n 'user_message': 'Lorem ipsum dolor met',\n 'staff_message': 'Sit amet elit',\n 'expires_on': test_date.isoformat(),\n })\n self.assertEqual(response.status_code, 302)\n\n self.assertEqual(Ban.objects.count(), 10)\n\n bans_pks = []\n for ban in Ban.objects.iterator():\n bans_pks.append(ban.pk)\n\n response = self.client.post(reverse('misago:admin:users:bans:index'), data={\n 'action': 'delete',\n 'selected_items': bans_pks\n })\n self.assertEqual(response.status_code, 302)\n self.assertEqual(Ban.objects.count(), 0)","def test_deleteorganizations_item(self):\n pass","def test_delete(self):\n user = self.custodian_1_user\n urls = [reverse('api:user-detail', kwargs={'pk': user.pk})]\n data = None\n access = {\n \"forbidden\": [self.anonymous_client, self.readonly_client, self.custodian_1_client, self.admin_client,\n self.custodian_2_client],\n \"allowed\": []\n }\n\n for client in access['forbidden']:\n for url in urls:\n self.assertIn(\n client.delete(url, data, format='json').status_code,\n [status.HTTP_401_UNAUTHORIZED, status.HTTP_403_FORBIDDEN]\n )\n\n for client in access['allowed']:\n for url in urls:\n self.assertEqual(\n client.delete(url, data, format='json').status_code,\n status.HTTP_200_OK\n )","def test_post_delete_logged_in(self):\n url = reverse('post-detail', kwargs={'pk': self.post.id})\n self.client.force_authenticate(user=self.user)\n response = self.client.delete(url)\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)","def test_given_a_user_has_a_todo_When_I_delete_it_Then_it_is_gone(self):\n from .models import Tag\n from .models import TodoUser\n from .models import TodoItem\n\n user = TodoUser(\n email=u'king.arthur@example.com',\n first_name=u'Arthur',\n last_name=u'Pendragon',\n )\n self.session.add(user)\n\n tags = [u'quest', u'ni', u'knight']\n\n todo = TodoItem(user.email,\n u'Find a shrubbery', \n [u'quest', u'ni', u'knight'] \n ) \n self.session.add(todo)\n \n #after inserting we have 1 todo\n user_todos = user.todo_list.count()\n self.assertEqual(user_todos, 1) \n \n #after delete we have zero todos \n user.delete_todo(todo.id)\n user_todos = user.todo_list.count() \n self.assertEqual(user_todos, 0)","def test_products_ref_users_user_delete(self):\n pass","def test_not_author_delete_post(self):\n self.client.login(username=\"Bill\", password=\"newpass1234\")\n response = self.client.post('/posts/1/delete/', {\"next\": \"\"})\n self.assertNotEqual(list(Post.objects.filter(id=1)), [])","def test_delete_button_appears_edit(self):\n response = self.client.get(reverse('wagtailnews:edit', kwargs={\n 'pk': self.index.pk, 'newsitem_pk': self.newsitem.pk}))\n self.assertContains(response, self.url)","def test_delete_collection(self):\n pass","def test_sort_saved_articles_DELETE_3(self):\r\n\r\n u1 = User.query.filter_by(username='testuser').one()\r\n User.signup(username='testuser2',\r\n password=\"PASSWORD\", location=\"US-FL\")\r\n db.session.commit()\r\n u2 = User.query.filter_by(username='testuser2').one()\r\n\r\n with self.client as c:\r\n with c.session_transaction() as sess:\r\n sess[CURR_USER_KEY] = u1.id\r\n response = c.delete(\r\n f'/users/{u2.username}/saved-articles', follow_redirects=True)\r\n self.assertEqual(response.status_code, 200)\r\n self.assertIn(b'Unauthorized.', response.data)","def test_deleted(self):\n event = Event.objects.all()[0]\n\n todo = TodoItem.objects.create(\n event=event, completed=False, title=\"Test TODO3\",\n due=datetime.date.today(), additional=\"\",\n )\n\n assert todo in event.todoitem_set.all()\n\n self.client.get(reverse('todo_delete', args=[todo.pk]))\n\n assert event.todoitem_set.all().count() == 0","def test_api_video_delete_list_staff_or_user(self):\n video = factories.VideoFactory()\n for user in [factories.UserFactory(), factories.UserFactory(is_staff=True)]:\n self.client.login(username=user.username, password=\"test\")\n\n response = self.client.delete(\"/api/videos/\")\n\n self.assertEqual(response.status_code, 401)\n self.assertTrue(models.Video.objects.filter(id=video.id).exists())","def test_delete(self):\n\n test_user = get_user_model().objects.create_user(username='tester',password='pass')\n test_user.save()\n\n test_book = Book.objects.create(\n publisher = test_user,\n name = 'Title of Blog',\n description = 'Words about the blog'\n )\n\n test_book.save()\n\n book = Book.objects.get()\n\n url = reverse('book_detail', kwargs={'pk': book.id})\n\n\n response = self.client.delete(url)\n\n self.assertEquals(response.status_code, status.HTTP_204_NO_CONTENT, url)","def test_sort_saved_articles_DELETE(self):\r\n\r\n with self.client:\r\n u = User.query.first()\r\n response = self.client.delete(\r\n f'/users/${u.username}/saved-articles', follow_redirects=True)\r\n self.assertIn(b'Unauthorized.', response.data)\r\n self.assertEqual(response.status_code, 200)","def test_forum_unseeding_on_delete(self):\r\n test_course_data = self.assert_created_course(number_suffix=uuid4().hex)\r\n course_id = _get_course_id(test_course_data)\r\n self.assertTrue(are_permissions_roles_seeded(course_id))\r\n delete_course_and_groups(course_id, commit=True)\r\n # should raise an exception for checking permissions on deleted course\r\n with self.assertRaises(ItemNotFoundError):\r\n are_permissions_roles_seeded(course_id)","def test_none_admin_delete(self):\n\n with self.client:\n token = self.customer()\n id = 1\n response = self.client.delete('api/v1/meals/{}'.format(id),\n headers=({\"token\": token}))\n data = json.loads(response.data.decode())\n self.assertEqual(data.get('message'),\n \"Customer is not authorized to access this page\")\n self.assertEqual(response.status_code, 401)","def test_delete_item(self, default_ms):\r\n self.initdb(default_ms)\r\n # r/o try deleting the course (is here to ensure it can't be deleted)\r\n with self.assertRaises(AttributeError):\r\n self.store.delete_item(self.xml_chapter_location)\r\n self.store.delete_item(self.import_chapter_location, '**replace_user**')\r\n # verify it's gone\r\n with self.assertRaises(ItemNotFoundError):\r\n self.store.get_item(self.import_chapter_location)","def test_user_id_delete(self):\n pass","def test_delete_run(self):\n pass","def test_items_delete(patch_mongo):\n # create a user, first\n response = client.put(\"/user\",\n json={\"name\": \"John\"})\n assert response.status_code == status.HTTP_201_CREATED\n\n response = client.get(\"/users\")\n assert response.status_code == status.HTTP_200_OK\n assert len(response.json()) == 1\n\n item = {\n \"content\": \"lorem ipsum\",\n \"priority\": \"high\",\n \"status\": \"backlog\",\n \"users\": [\"John\"],\n }\n response = client.post(\"/item\", json=item)\n assert response.status_code == status.HTTP_200_OK\n\n # get the items back enriched with an ID\n response = client.get(\"/items\")\n assert response.status_code == status.HTTP_200_OK\n item_list = response.json()\n\n # delete the first item\n response = client.delete(\"/items/\" + item_list[0][\"item_id\"])\n assert response.status_code == status.HTTP_200_OK\n\n # check if the item has been deleted\n response = client.get(\"/items\")\n assert response.status_code == status.HTTP_200_OK\n item_list = response.json()\n assert not item_list","def test_clear_menu_by_regular_user(self):\n\n\t\tres = self.login_user()\n\t\tress = self.login_admin_user()\n\t\taccess_token = json.loads(res.data.decode())['access_token']\n\t\ta_access_token = json.loads(ress.data.decode())['access_token']\n\n\t\tresponse = self.client().post(\n\t\t\t'/api/v2/meals', \n\t\t\t\theaders={\"x-access-token\": a_access_token},\n\t\t\t\tdata = json.dumps(\n\t\t\t\tself.meal_data) , content_type = 'application/json')\n\t\tself.assertEqual(response.status_code, 201)\n\n\t\tresponse = self.client().post('/api/v2/menu/1',\n\t\t\theaders={\"x-access-token\": a_access_token},\n\t\t\tdata = json.dumps(\n\t\t\t\tself.meal_data), content_type = 'application/json')\n\t\tself.assertEqual(response.status_code, 200)\n\n\t\tresults = self.client().delete('/api/v2/menu',\n\t\t\theaders={\"x-access-token\": access_token})\n\t\tresponse = json.loads(results.data)\n\t\tself.assertEqual(results.status_code, 401)\n\t\tself.assertEqual(response[\"message\"], \n\t\t\t\"Not authorized to perform this function!\")","def test_deletehardwares_item(self):\n pass","def test_delete_user(self):\n\n with self.client:\n result = self.client.post('/users/cool-guy-johnny-B/delete',\n follow_redirects=True)\n self.assertEqual(result.status_code, 200)\n self.assertNotIn(b'cool-guy-johnny-B', result.data)","def test_app_can_delete_list(self):\n delete_list=self.client.delete('/shoppinglists/nikes',\n headers={\n 'Content-Type':'application/json',\n 'x-access-token':self.tok})\n self.assertEqual(delete_list.status_code,200)","def test_post_deletion_unauthenticated(self):\n url = reverse(\n 'post-detail',\n args=[\n self.topic1.url_name,\n self.post1.id\n ]\n )\n response = self.client.delete(url)\n\n self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)\n deleted_post = Post.objects.filter(\n id=self.post1.id,\n )\n self.assertTrue(deleted_post.exists())","def test_delete(self):\n activity = Activity.objects.first()\n url, parsed = self.prepare_urls('v1:activity-detail', subdomain=self.company.subdomain, kwargs={'pk': activity.id})\n \n response = self.client.delete(url, HTTP_HOST=parsed.netloc, format='json')\n self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)\n\n self.authenticate_user()\n response = self.client.delete(url, HTTP_HOST=parsed.netloc, format='json')\n self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)\n\n url, parsed = self.prepare_urls('v1:activity-list', subdomain=self.company.subdomain)\n response = self.client.get(url, HTTP_HOST=parsed.netloc)\n content = json.loads(response.content)\n self.assertEqual(self.activities_count-1, content['count']) # deleted 1 activity","def test_user_can_delete_their_comment(self):\n token = self.create_user(VALID_USER_DATA)\n response = self.create_article(VALID_ARTICLE, token)\n response = self.create_comment(\n token=token,\n parentId=0,\n slug=response.data['article']['slug']\n )\n get_comment_url = reverse('crud-comment', kwargs={\n 'id': response.data['comment']['id']\n })\n response = self.client.delete(\n get_comment_url,\n HTTP_AUTHORIZATION=token\n )\n self.assertEqual(\n response.status_code,\n status.HTTP_200_OK\n )","def test_api_video_delete_detail_staff_or_user(self):\n video = factories.VideoFactory()\n for user in [factories.UserFactory(), factories.UserFactory(is_staff=True)]:\n self.client.login(username=user.username, password=\"test\")\n\n response = self.client.delete(f\"/api/videos/{video.id}/\")\n\n self.assertEqual(response.status_code, 401)\n content = json.loads(response.content)\n self.assertEqual(\n content, {\"detail\": \"Authentication credentials were not provided.\"}\n )\n self.assertTrue(models.Video.objects.filter(id=video.id).exists())","def test_delete(self):\n\n\t\titem_id = mock_item()[0]\n\t\tmodels.delete(item_id)\n\n\t\titem = models.item(item_id)\n\t\tself.assertIsNone(item)","def test_delete(collection, user_id, media_item, repo):\n other_user_id = \"test-other-user-id\"\n insert1 = collection.insert_one(media_item | {\"id\": \"id1\", \"userId\": user_id})\n insert2 = collection.insert_one(media_item | {\"id\": \"id2\", \"userId\": user_id})\n insert3 = collection.insert_one(media_item | {\"id\": \"id3\", \"userId\": other_user_id})\n repo.delete([\"id1\"])\n\n assert collection.count_documents({\"id\": \"id1\"}) == 0\n assert collection.count_documents({\"id\": \"id2\"}) == 1\n assert collection.count_documents({\"id\": \"id3\"}) == 1","def test_delete1(self):\n pass","def test_no_delete_button_appears_edit(self):\n response = self.client.get(reverse('wagtailnews:edit', kwargs={\n 'pk': self.index.pk, 'newsitem_pk': self.newsitem.pk}))\n self.assertNotContains(response, self.url)","def test_delete_topic_viewset(self):\n\n topic = TopicFactory(author=self.user)\n response = self.client.delete(reverse('api:topics-detail', kwargs={'topic_id': topic.id}))\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)\n superuser = UserFactory(is_superuser=True, is_moderator=True, username='superuser')\n token = Token.objects.get(user=superuser)\n self.client.credentials(\n HTTP_AUTHORIZATION=f'Token {token.key}')\n response = self.client.delete(reverse('api:topics-detail', kwargs={'topic_id': topic.id}))\n self.assertEqual(response.status_code, status.HTTP_200_OK)\n self.assertFalse(Topic.objects.filter(id=topic.id).last())","def test_not_logged_cannot_delete(self):\n\n utils.test_not_logged_cannot_access(self, self.url)","def test_destroy_not_owner(self):\n\n self.assertEqual(first=1, second=Post.objects.all().count())\n url = reverse('post-detail', args=(self.post.id,))\n self.client.credentials(HTTP_AUTHORIZATION=self.token_1)\n response = self.client.delete(path=url)\n self.assertEqual(first=403, second=response.status_code)\n self.assertEqual(first=1, second=Post.objects.all().count())","def test_03_product_delete(self):\n product = self.create_product()\n products = self.product_obj.search([])\n self.assertIn(product, products)\n product.unlink()\n self.assertNotIn(product.exists(), products)","def test_creator_in_group_can_delete(self):\n\n self.client.login(username='notlogged', password='notlogged')\n expected_url = reverse('my_groups_view')\n\n utils.test_can_access(self, self.url,\n post_redirect_url=expected_url)\n self.assertEqual(len(Group.objects.all()), 0)","def test_post_delete_admin(self):\n url = reverse('post-detail', kwargs={'pk': self.post.id})\n self.client.force_authenticate(user=self.superuser)\n response = self.client.delete(url)\n self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)","def test_only_aid_author_can_delete_it(client, contributor):\n\n aid = AidFactory(status='published')\n client.force_login(contributor)\n delete_url = reverse('aid_delete_view', args=[aid.slug])\n res = client.post(delete_url, {'confirm': True})\n assert res.status_code == 404\n\n aid.refresh_from_db()\n assert aid.status == 'published'","def test_delete_detail_unauthorized(self):\n story = create_story(title=\"Test Story\", summary=\"Test Summary\",\n byline=\"Test Byline\", status=\"published\",\n language=\"en\", author=self.user2)\n layout = SectionLayout.objects.get(sectionlayouttranslation__name=\"Side by Side\")\n container1 = Container.objects.get(name='left')\n container2 = Container.objects.get(name='right')\n section = create_section(title=\"Test Section 1\", story=story,\n layout=layout)\n self.assertEqual(Section.objects.filter(story=story).count(), 1)\n self.api_client.client.login(username=self.username,\n password=self.password)\n uri = '/api/0.1/stories/%s/sections/%s/' % (story.story_id,\n section.section_id)\n resp = self.api_client.delete(uri)\n self.assertHttpUnauthorized(resp)\n self.assertEqual(Section.objects.filter(story=story).count(), 1)\n self.assertEqual(\n Section.objects.filter(section_id=section.section_id).count(),\n 1)","def test_delete_non_owner(self):\n another_user = CustomUser.objects.create(id=134, email='another_user2@mail.com', is_active=True)\n another_user.set_password('qwerty12345')\n another_user.save()\n\n self.client.login(email='another_user2@mail.com', password='qwerty12345')\n\n url = reverse('notification',\n kwargs={'way_id': self.notification.way_id, 'notification_id': 87876})\n\n response = self.client.delete(url)\n\n self.assertEqual(response.status_code, 403)","def test_delete_collection_o_auth_client_authorization(self):\n pass","def test_delete_item_all_fails(self):\n\n web.app.config['READONLY'] = False\n\n # Delete all items\n response = self.client.delete('/item/')\n self.assertEqual(response.status_code, 405)\n\n # Note: if this fails, all items have gone and rest of\n # tests will fail!","def test_shoppingitem_deletion(self):\n # register and login a user\n self.app.post('/register', data=self.user_reg_details)\n self.app.post('/login', data=self.user_login_details)\n # create a shopping list\n self.shopping_class_obj.create_list(\n 'Christmass', 'maina@gmail.com')\n # create an item\n self.item_class_obj.add_item(\n 'Christmass', 'Bread', 'maina@gmail.com')\n # make a post request with the delete name\n res = self.app.post(\n '/delete-item', data={'list_name': 'Christmass', 'item_name': 'Bread'})\n self.assertEqual(res.status_code, 200)\n self.item_class_obj.delete_item(\n 'Bread', 'maina@gmail.com', 'Christmass')\n # check if delete was successful\n self.assertIn(\"Successfuly deleted item \", str(res.data))","def test_delete(self):\n # login as library manager\n self.authenticate(self.user)\n\n # check there are 3 works\n self.assertEqual(Work.objects.count(), 3)\n\n self.assertNotEqual(self.work1.song_set.count(), 0)\n\n # prune works\n response = self.client.delete(self.url)\n\n # check http status\n self.assertEqual(response.status_code, status.HTTP_200_OK)\n\n # check the response\n self.assertDictEqual(response.data, {\"deleted_count\": 2})\n\n # check there are only 1 work remaining\n self.assertEqual(Work.objects.count(), 1)\n\n # check artists with songs remains\n self.assertEqual(Work.objects.filter(pk=self.work2.pk).count(), 0)\n self.assertEqual(Work.objects.filter(pk=self.work3.pk).count(), 0)","def test_removePost(self):\n\t\tself.client.force_authenticate(user = User.objects.get(id=3))\n\n\t\tpost5 = Post.objects.create(author=User.objects.get(id=3), \n\t\t\ttext=\"Mahmut is best computer geek I have ever met\",\n\t\t\tgroup=Group.objects.get(id=3))\n\n\t\turl = \"/posts/4/\"\n\t\tresponse = self.client.delete(url, format='json')\n\t\tself.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)\n\n\t\turl = \"/posts/3/\"\n\t\tresponse = self.client.delete(url, format='json')\n\t\tself.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)","def test_post_delete_unauthorized(self):\n url = reverse('post-detail', kwargs={'pk': self.post.id})\n response = self.client.delete(url)\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)","def test_delete(self):\n self.client.force_authenticate(user=self.admin)\n\n response = self.client.delete(\n reverse(\n 'retreat:waitqueuenotification-detail',\n kwargs={'pk': 1},\n ),\n )\n\n self.assertEqual(\n response.status_code,\n status.HTTP_405_METHOD_NOT_ALLOWED\n )","def test_delete_note(self):\n pass","def test_users_username_delete(self):\n pass","def test_delete_author_unlogged(self):\n request = self.client.delete(self.epoint)\n self.assertEqual(request.status_code, status.HTTP_403_FORBIDDEN)","def test_remove_vote_view_allows_to_remove_vote(self):\n self.client.login(username=\"John\", password=\"newpass1234\")\n votes_len = len(PostVotes.objects.all())\n response = self.client.post('/posts/1/remove_vote/')\n self.assertEqual(len(PostVotes.objects.all()), votes_len - 1)","def test_a_user_can_dislike_an_article(self):\n article = self.create_article()\n\n slug = article.data['data']['slug']\n dislike = self.client.post('/api/articles/{}/dislike/'.format(slug),\n HTTP_AUTHORIZATION='Bearer ' +\n self.token,\n format='json')\n\n self.assertEqual(dislike.status_code, 200)","def test_not_creator_cannot_delete(self):\n\n logged_user = utils.create_user_and_authenticate(self)\n self.group.users.add(logged_user)\n expected_url = reverse('my_groups_view')\n\n utils.test_cannot_access(self, self.url, expected_url)\n self.assertEqual(len(Group.objects.all()), 1)","def test_forum_delete_with_user_and_topic(topic, user):\n assert user.post_count == 1\n\n topic.forum.delete([user])\n\n forum = Forum.query.filter_by(id=topic.forum_id).first()\n\n assert forum is None\n\n assert user.post_count == 0","def test_delete_store_success(self):\n product = sample_product(supplier_id=self.user)\n url = detail_url(product.id)\n res = self.client.delete(url)\n products = Product.objects.all()\n\n self.assertEqual(res.status_code, status.HTTP_204_NO_CONTENT)\n self.assertEqual(len(products), 0)","def test_calendar_user_view_delete(self):\n # delete calendar_setting\n request = self.factory.post('/module/calendar_user/del/4/', follow=True)\n request.user = self.user\n request.session = {}\n #response = calendar_user_del(request, 4)\n #self.assertEqual(response.status_code, 302)\n\n request = self.factory.post('/module/calendar_user/del/', {'select': '1'})\n request.user = self.user\n request.session = {}\n #response = calendar_user_del(request, 0)\n #self.assertEqual(response.status_code, 302)","def test_delete_but_no_view_permission(client):\n user = user_with_permissions(\"polls.delete_poll\")\n\n url = reverse(\"admin:index\")\n client.force_login(user)\n\n response = client.get(url)\n assert parse_sidemenu(response) == {\"Global\": [\"/en/admin/\"], \"Polls\": [None]}","def test_delete(self):\n self.assertEqual(Product.objects.count(), 2)\n\n headers = {\n 'HTTP_AUTHORIZATION': 'Token ' + str(self.token_admin)\n }\n response = self.client.delete(\n '/api/products/{}/'.format(self.product_1.id), **headers)\n self.assertEqual(response.status_code, 204)\n self.assertEqual(Product.objects.count(), 1)","def test_delete(self):\n self.assertFalse(self.user1.ad_deleted)\n self.assertTrue(self.user1.active)\n url = '/api/users/{}/'.format(self.user1.ad_guid)\n data = {'Deleted': True}\n response = self.client.put(url, json.dumps(data), content_type='application/json')\n self.assertEqual(response.status_code, 202)\n user = DepartmentUser.objects.get(pk=self.user1.pk) # Refresh from db\n self.assertTrue(user.ad_deleted)\n self.assertFalse(user.active)\n self.assertTrue(user.in_sync)\n # Also delete a second object, to check for silly 'empty string' collisions.\n url = '/api/users/{}/'.format(self.user2.ad_guid)\n response = self.client.put(url, json.dumps(data), content_type='application/json')\n self.assertEqual(response.status_code, 202)","def test_delete_user(patch_mongo):\n user_list = [\n {\"name\": \"John\"},\n {\"name\": \"Sarah\"},\n {\"name\": \"Paula\"},\n ]\n item_list = [\n {\n \"content\": \"lorem ipsum\",\n \"priority\": \"high\",\n \"status\": \"backlog\",\n \"users\": [\"John\"],\n },\n {\n \"content\": \"lorem ipsum\",\n \"priority\": \"high\",\n \"status\": \"in_progress\",\n \"users\": [\"John\", \"Sarah\"],\n }\n ]\n\n for user in user_list:\n response = client.put(\"/user\", json=user)\n assert response.status_code == status.HTTP_201_CREATED\n for item in item_list:\n response = client.post(\"/item\", json=item)\n assert response.status_code == status.HTTP_200_OK\n\n response = client.delete(\"/users/John\")\n assert response.status_code == status.HTTP_200_OK\n\n # check if the user has been deleted\n response = client.get(\"/users\")\n assert response.status_code == status.HTTP_200_OK\n msg = response.json()\n assert \"John\" not in [m[\"name\"] for m in msg]\n\n # check if the corresponding items have been deleted as well\n response = client.get(\"/items\")\n assert response.status_code == status.HTTP_200_OK\n msg = response.json()\n for item in msg:\n assert len(item[\"users\"]) > 0\n assert \"John\" not in item[\"users\"]","def test_delete_detail_unauthenticated(self):\n story = create_story(title=\"Test Story\", summary=\"Test Summary\",\n byline=\"Test Byline\", status=\"published\",\n language=\"en\", author=self.user)\n layout = SectionLayout.objects.get(sectionlayouttranslation__name=\"Side by Side\")\n container1 = Container.objects.get(name='left')\n container2 = Container.objects.get(name='right')\n section = create_section(title=\"Test Section 1\", story=story,\n layout=layout)\n self.assertEqual(Section.objects.filter(story=story).count(), 1)\n uri = '/api/0.1/stories/%s/sections/%s/' % (story.story_id,\n section.section_id)\n resp = self.api_client.delete(uri)\n self.assertHttpUnauthorized(resp)\n self.assertEqual(Section.objects.filter(story=story).count(), 1)\n self.assertEqual(\n Section.objects.filter(section_id=section.section_id).count(),\n 1)","def test_delete_user_field(self):\n pass","def test_delete7(self):\n pass","def test_delete_category(self):\n pass","def test_delete_users_non_admin(client: FlaskClient) -> None:\n username = create_random_username()\n # Non-admin users are not allowed to make the request\n auth_token = create_auth_token(username)\n response = delete_users(client, auth_token.signed)\n assert_error_response(response, HTTPStatus.FORBIDDEN)","def test_delete_function(self): \n self.new_user.save_prof()\n user2 = User_prof(username = \"mbugua\", bio = \"the world revolves\" ) \n user2.save_prof()\n \n user2.delete_prof()\n all = User_prof.objects.all()\n self.assertEqual(len(all),1)","def test_delete_list(self):\n r = main.List.connection()\n main.List.add(r, \"ToDo\", 1, \"Buy apples\", 2, \"20.05.2015\")\n main.List.delete(r, \"ToDo\", \"all\")\n task = r.get(\"ToDo\")\n self.assertFalse(task, \"Deleting task list failed.\")","def test_post_delete_post_as_logged_in_user(self):\n login = self.client.login(username='testuser_normal', password='password12345')\n\n if login:\n\n last_post = Post.objects.get(title=\"test3\")\n url = reverse('blogs:delete', kwargs={'slug': last_post.slug})\n response = self.client.get(url)\n\n # There should still be a blog post with this title. Hence we should still be able to find the blog post\n check_post = Post.objects.get(slug=last_post.slug)\n self.assertEqual(check_post.title, last_post.title)\n self.assertEqual(check_post.content, last_post.content)\n self.assertEqual(check_post.pk, last_post.pk)\n self.assertEqual(response.status_code, 403)\n self.client.logout()\n else:\n # TODO Make this dynamic rather than hard coded text string\n self.fail('Login Failed for testuser_staff')","def test_delete_author_logged(self):\n self.client.force_authenticate(user=self.user)\n\n request = self.client.delete(self.epoint)\n self.assertEqual(request.status_code, status.HTTP_204_NO_CONTENT)","def test_delete_user_does_not_exists(self, client, users):\n user = users[0]\n url = reverse('users:delete', args=(user.pk + 100,))\n response = client.post(url)\n assert response.status_code == 404","def test_delete_shelf_unauthorized(self, *_):\n with patch(\"bookwyrm.suggested_users.rerank_suggestions_task.delay\"), patch(\n \"bookwyrm.activitystreams.populate_stream_task.delay\"\n ):\n rat = models.User.objects.create_user(\n \"rat@local.com\",\n \"rat@mouse.mouse\",\n \"password\",\n local=True,\n localname=\"rat\",\n )\n request = self.factory.post(\"\")\n request.user = rat\n\n with self.assertRaises(PermissionDenied):\n views.delete_shelf(request, self.shelf.id)\n\n self.assertTrue(models.Shelf.objects.filter(id=self.shelf.id).exists())","def test_category_delete_with_user(topic):\n user = topic.user\n forum = topic.forum\n category = topic.forum.category\n\n assert user.post_count == 1\n assert forum.post_count == 1\n assert forum.topic_count == 1\n\n category.delete([user])\n\n assert user.post_count == 0\n\n category = Category.query.filter_by(id=category.id).first()\n topic = Topic.query.filter_by(id=topic.id).first()\n\n assert category is None\n # The topic should also be deleted\n assert topic is None","def test_post_deletion_success(self):\n url = reverse(\n 'post-detail',\n args=[\n self.topic1.url_name,\n self.post1.id\n ]\n )\n self.client.credentials(\n HTTP_AUTHORIZATION = 'Token ' + self.user1.auth_token.key\n )\n response = self.client.delete(url)\n\n self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)\n deleted_post = Post.objects.filter(\n id=self.post1.id,\n )\n self.assertFalse(deleted_post.exists())","def test_delete_cart_item_unauthorized(self):\n user_id = '111'\n cart_id = self.cart_item_manager.create_cart(user_id, 'test cart', False)\n item_id1 = self.cart_item_manager.add_cart_item(self.catalog, user_id, cart_id, '1', 'entity_type',\n 'entity_version')\n with self.assertRaises(ResourceAccessError):\n self.cart_item_manager.delete_cart_item('112', cart_id, item_id1)","def test_delete_activity_template(self):\n pass","def test_invalid_user_can_delete_a_comment(self):\n token = self.create_user(VALID_USER_DATA)\n response = self.create_article(VALID_ARTICLE, token)\n response = self.create_comment(\n token=token,\n parentId=0,\n slug=response.data['article']['slug']\n )\n token = self.create_user(VALID_USER_DATA_2)\n get_comment_url = reverse('crud-comment', kwargs={\n 'id': response.data['comment']['id']\n })\n response = self.client.delete(\n get_comment_url,\n HTTP_AUTHORIZATION=token\n )\n self.assertEqual(\n response.status_code,\n status.HTTP_403_FORBIDDEN\n )","def test_delete_button_appears_index(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertContains(response, self.url)","def test_delete_a_todo(self):\n # hit the API endpoint\n response = self.delete_a_todo(1)\n self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)\n # test with invalid data\n response = self.delete_a_todo(100)\n self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)"],"string":"[\n \"def test_delete_item_using_delete(self):\\n pass\",\n \"def test_delete_of_an_escalated_article_with_user(self):\\n token = self.user1.token()\\n self.client.credentials(\\n HTTP_AUTHORIZATION='Bearer ' + token)\\n resp = self.delete_article()\\n self.assertEqual(resp.status_code, status.HTTP_403_FORBIDDEN)\\n self.assertEqual(resp.data[\\\"error\\\"], self.user_delete)\",\n \"def test_a_user_can_delete_dislike(self):\\n article = self.create_article()\\n\\n slug = article.data['data']['slug']\\n self.client.post('/api/articles/{}/dislike/'.format(slug),\\n HTTP_AUTHORIZATION='Bearer ' +\\n self.token,\\n format='json')\\n dislike = self.client.post('/api/articles/{}/dislike/'.format(slug),\\n HTTP_AUTHORIZATION='Bearer ' +\\n self.token,\\n format='json')\\n\\n self.assertEqual(dislike.status_code, 200)\",\n \"def test_delete_collection_user(self):\\n pass\",\n \"def test_delete_permission(self):\\r\\n self.assertFalse(self.creator_admin.has_delete_permission(self.request))\",\n \"def test_successfult_post_deletion(self):\\n self.user.is_moderator = True\\n self.user.save()\\n response = self.client.delete(reverse('api:posts-detail', kwargs={'pk': self.post1.id}))\\n self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)\\n self.assertEqual(Post.objects.count(), 1)\",\n \"def test_delete_post_by_user(self):\\n\\n response = self.client.delete(reverse('api:posts-detail', kwargs={'pk': self.post1.id}))\\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)\",\n \"def test_a_user_can_delete_like(self):\\n article = self.create_article()\\n\\n slug = article.data['data']['slug']\\n self.client.post('/api/articles/{}/like/'.format(slug),\\n HTTP_AUTHORIZATION='Bearer ' +\\n self.token,\\n format='json')\\n like = self.client.post('/api/articles/{}/like/'.format(slug),\\n HTTP_AUTHORIZATION='Bearer ' +\\n self.token,\\n format='json')\\n\\n self.assertEqual(like.status_code, 200)\",\n \"def test_delete(self, client, users):\\n user = users[0]\\n url = reverse('users:delete', args=(user.pk,))\\n response = client.get(url)\\n assert response.status_code == 405\\n response = client.post(url)\\n assert response.status_code == 302\\n assert response.url == reverse('users:list')\\n assert not get_user_model().objects.filter(pk=user.pk).exists()\",\n \"def test_security_on_delete(self):\\n # test the delete product url\\n product = Product.objects.all()[0]\\n url = '/product/xml/%s/' % product.item_number\\n response = self.client.delete(url)\\n self.failUnlessEqual(response.status_code, 401)\",\n \"def test_delete(self):\\n pass\",\n \"def test_delete_user(self):\\n pass\",\n \"def test_delete_user(self):\\n pass\",\n \"def test_delete_of_an_escalated_article_with_admin(self):\\n token = self.user3.token()\\n self.client.credentials(\\n HTTP_AUTHORIZATION='Bearer ' + token)\\n resp = self.delete_article()\\n self.assertEqual(resp.status_code, status.HTTP_200_OK)\\n self.assertEqual(resp.data[\\\"message\\\"], self.admin_delete)\",\n \"def test_author_delete_post(self):\\n self.client.login(username=\\\"John\\\", password=\\\"newpass1234\\\")\\n response = self.client.post('/posts/1/delete/')\\n self.assertEqual(list(Post.objects.filter(id=1)), [])\",\n \"def delete_item(self, id: str, user: User) -> bool:\",\n \"def test_delete_activity(self):\\n pass\",\n \"def test_delete_reusableitem_api_fails(self):\\n self.client.force_authenticate(user=self.user_1)\\n\\n response = self.client.delete(get_reusable_item_1_url(self))\\n\\n self.assertEqual(response.status_code, status.HTTP_500_INTERNAL_SERVER_ERROR)\",\n \"def test_sort_saved_articles_DELETE_2(self):\\r\\n\\r\\n u1 = User.query.filter_by(username='testuser').one()\\r\\n\\r\\n with self.client as c:\\r\\n with c.session_transaction() as sess:\\r\\n sess[CURR_USER_KEY] = u1.id\\r\\n response = c.delete(f'/users/{u1.username}/saved-articles',\\r\\n data=f'path=_news%2F2020-04-26-test-article.md', follow_redirects=True)\\r\\n self.assertEqual(response.status_code, 200)\",\n \"def test_delete_post_by_another_user(self):\\n url = reverse(\\n 'post-detail',\\n args=[\\n self.topic1.url_name,\\n self.post1.id\\n ]\\n )\\n self.client.credentials(\\n HTTP_AUTHORIZATION = 'Token ' + self.user2.auth_token.key\\n )\\n response = self.client.delete(url)\\n\\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)\\n deleted_post = Post.objects.filter(\\n id=self.post1.id,\\n )\\n self.assertTrue(deleted_post.exists())\",\n \"def test_delete_not_my_product(self):\\n self._require_login(self.user1)\\n response = self.client.delete('/api/1.0/products/2/')\\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)\",\n \"def test_products_ref_users_delete(self):\\n pass\",\n \"def test_mass_delete(self):\\n test_date = datetime.now() + timedelta(days=180)\\n\\n for i in range(10):\\n response = self.client.post(reverse('misago:admin:users:bans:new'), data={\\n 'check_type': '1',\\n 'banned_value': '%stest@test.com' % i,\\n 'user_message': 'Lorem ipsum dolor met',\\n 'staff_message': 'Sit amet elit',\\n 'expires_on': test_date.isoformat(),\\n })\\n self.assertEqual(response.status_code, 302)\\n\\n self.assertEqual(Ban.objects.count(), 10)\\n\\n bans_pks = []\\n for ban in Ban.objects.iterator():\\n bans_pks.append(ban.pk)\\n\\n response = self.client.post(reverse('misago:admin:users:bans:index'), data={\\n 'action': 'delete',\\n 'selected_items': bans_pks\\n })\\n self.assertEqual(response.status_code, 302)\\n self.assertEqual(Ban.objects.count(), 0)\",\n \"def test_deleteorganizations_item(self):\\n pass\",\n \"def test_delete(self):\\n user = self.custodian_1_user\\n urls = [reverse('api:user-detail', kwargs={'pk': user.pk})]\\n data = None\\n access = {\\n \\\"forbidden\\\": [self.anonymous_client, self.readonly_client, self.custodian_1_client, self.admin_client,\\n self.custodian_2_client],\\n \\\"allowed\\\": []\\n }\\n\\n for client in access['forbidden']:\\n for url in urls:\\n self.assertIn(\\n client.delete(url, data, format='json').status_code,\\n [status.HTTP_401_UNAUTHORIZED, status.HTTP_403_FORBIDDEN]\\n )\\n\\n for client in access['allowed']:\\n for url in urls:\\n self.assertEqual(\\n client.delete(url, data, format='json').status_code,\\n status.HTTP_200_OK\\n )\",\n \"def test_post_delete_logged_in(self):\\n url = reverse('post-detail', kwargs={'pk': self.post.id})\\n self.client.force_authenticate(user=self.user)\\n response = self.client.delete(url)\\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)\",\n \"def test_given_a_user_has_a_todo_When_I_delete_it_Then_it_is_gone(self):\\n from .models import Tag\\n from .models import TodoUser\\n from .models import TodoItem\\n\\n user = TodoUser(\\n email=u'king.arthur@example.com',\\n first_name=u'Arthur',\\n last_name=u'Pendragon',\\n )\\n self.session.add(user)\\n\\n tags = [u'quest', u'ni', u'knight']\\n\\n todo = TodoItem(user.email,\\n u'Find a shrubbery', \\n [u'quest', u'ni', u'knight'] \\n ) \\n self.session.add(todo)\\n \\n #after inserting we have 1 todo\\n user_todos = user.todo_list.count()\\n self.assertEqual(user_todos, 1) \\n \\n #after delete we have zero todos \\n user.delete_todo(todo.id)\\n user_todos = user.todo_list.count() \\n self.assertEqual(user_todos, 0)\",\n \"def test_products_ref_users_user_delete(self):\\n pass\",\n \"def test_not_author_delete_post(self):\\n self.client.login(username=\\\"Bill\\\", password=\\\"newpass1234\\\")\\n response = self.client.post('/posts/1/delete/', {\\\"next\\\": \\\"\\\"})\\n self.assertNotEqual(list(Post.objects.filter(id=1)), [])\",\n \"def test_delete_button_appears_edit(self):\\n response = self.client.get(reverse('wagtailnews:edit', kwargs={\\n 'pk': self.index.pk, 'newsitem_pk': self.newsitem.pk}))\\n self.assertContains(response, self.url)\",\n \"def test_delete_collection(self):\\n pass\",\n \"def test_sort_saved_articles_DELETE_3(self):\\r\\n\\r\\n u1 = User.query.filter_by(username='testuser').one()\\r\\n User.signup(username='testuser2',\\r\\n password=\\\"PASSWORD\\\", location=\\\"US-FL\\\")\\r\\n db.session.commit()\\r\\n u2 = User.query.filter_by(username='testuser2').one()\\r\\n\\r\\n with self.client as c:\\r\\n with c.session_transaction() as sess:\\r\\n sess[CURR_USER_KEY] = u1.id\\r\\n response = c.delete(\\r\\n f'/users/{u2.username}/saved-articles', follow_redirects=True)\\r\\n self.assertEqual(response.status_code, 200)\\r\\n self.assertIn(b'Unauthorized.', response.data)\",\n \"def test_deleted(self):\\n event = Event.objects.all()[0]\\n\\n todo = TodoItem.objects.create(\\n event=event, completed=False, title=\\\"Test TODO3\\\",\\n due=datetime.date.today(), additional=\\\"\\\",\\n )\\n\\n assert todo in event.todoitem_set.all()\\n\\n self.client.get(reverse('todo_delete', args=[todo.pk]))\\n\\n assert event.todoitem_set.all().count() == 0\",\n \"def test_api_video_delete_list_staff_or_user(self):\\n video = factories.VideoFactory()\\n for user in [factories.UserFactory(), factories.UserFactory(is_staff=True)]:\\n self.client.login(username=user.username, password=\\\"test\\\")\\n\\n response = self.client.delete(\\\"/api/videos/\\\")\\n\\n self.assertEqual(response.status_code, 401)\\n self.assertTrue(models.Video.objects.filter(id=video.id).exists())\",\n \"def test_delete(self):\\n\\n test_user = get_user_model().objects.create_user(username='tester',password='pass')\\n test_user.save()\\n\\n test_book = Book.objects.create(\\n publisher = test_user,\\n name = 'Title of Blog',\\n description = 'Words about the blog'\\n )\\n\\n test_book.save()\\n\\n book = Book.objects.get()\\n\\n url = reverse('book_detail', kwargs={'pk': book.id})\\n\\n\\n response = self.client.delete(url)\\n\\n self.assertEquals(response.status_code, status.HTTP_204_NO_CONTENT, url)\",\n \"def test_sort_saved_articles_DELETE(self):\\r\\n\\r\\n with self.client:\\r\\n u = User.query.first()\\r\\n response = self.client.delete(\\r\\n f'/users/${u.username}/saved-articles', follow_redirects=True)\\r\\n self.assertIn(b'Unauthorized.', response.data)\\r\\n self.assertEqual(response.status_code, 200)\",\n \"def test_forum_unseeding_on_delete(self):\\r\\n test_course_data = self.assert_created_course(number_suffix=uuid4().hex)\\r\\n course_id = _get_course_id(test_course_data)\\r\\n self.assertTrue(are_permissions_roles_seeded(course_id))\\r\\n delete_course_and_groups(course_id, commit=True)\\r\\n # should raise an exception for checking permissions on deleted course\\r\\n with self.assertRaises(ItemNotFoundError):\\r\\n are_permissions_roles_seeded(course_id)\",\n \"def test_none_admin_delete(self):\\n\\n with self.client:\\n token = self.customer()\\n id = 1\\n response = self.client.delete('api/v1/meals/{}'.format(id),\\n headers=({\\\"token\\\": token}))\\n data = json.loads(response.data.decode())\\n self.assertEqual(data.get('message'),\\n \\\"Customer is not authorized to access this page\\\")\\n self.assertEqual(response.status_code, 401)\",\n \"def test_delete_item(self, default_ms):\\r\\n self.initdb(default_ms)\\r\\n # r/o try deleting the course (is here to ensure it can't be deleted)\\r\\n with self.assertRaises(AttributeError):\\r\\n self.store.delete_item(self.xml_chapter_location)\\r\\n self.store.delete_item(self.import_chapter_location, '**replace_user**')\\r\\n # verify it's gone\\r\\n with self.assertRaises(ItemNotFoundError):\\r\\n self.store.get_item(self.import_chapter_location)\",\n \"def test_user_id_delete(self):\\n pass\",\n \"def test_delete_run(self):\\n pass\",\n \"def test_items_delete(patch_mongo):\\n # create a user, first\\n response = client.put(\\\"/user\\\",\\n json={\\\"name\\\": \\\"John\\\"})\\n assert response.status_code == status.HTTP_201_CREATED\\n\\n response = client.get(\\\"/users\\\")\\n assert response.status_code == status.HTTP_200_OK\\n assert len(response.json()) == 1\\n\\n item = {\\n \\\"content\\\": \\\"lorem ipsum\\\",\\n \\\"priority\\\": \\\"high\\\",\\n \\\"status\\\": \\\"backlog\\\",\\n \\\"users\\\": [\\\"John\\\"],\\n }\\n response = client.post(\\\"/item\\\", json=item)\\n assert response.status_code == status.HTTP_200_OK\\n\\n # get the items back enriched with an ID\\n response = client.get(\\\"/items\\\")\\n assert response.status_code == status.HTTP_200_OK\\n item_list = response.json()\\n\\n # delete the first item\\n response = client.delete(\\\"/items/\\\" + item_list[0][\\\"item_id\\\"])\\n assert response.status_code == status.HTTP_200_OK\\n\\n # check if the item has been deleted\\n response = client.get(\\\"/items\\\")\\n assert response.status_code == status.HTTP_200_OK\\n item_list = response.json()\\n assert not item_list\",\n \"def test_clear_menu_by_regular_user(self):\\n\\n\\t\\tres = self.login_user()\\n\\t\\tress = self.login_admin_user()\\n\\t\\taccess_token = json.loads(res.data.decode())['access_token']\\n\\t\\ta_access_token = json.loads(ress.data.decode())['access_token']\\n\\n\\t\\tresponse = self.client().post(\\n\\t\\t\\t'/api/v2/meals', \\n\\t\\t\\t\\theaders={\\\"x-access-token\\\": a_access_token},\\n\\t\\t\\t\\tdata = json.dumps(\\n\\t\\t\\t\\tself.meal_data) , content_type = 'application/json')\\n\\t\\tself.assertEqual(response.status_code, 201)\\n\\n\\t\\tresponse = self.client().post('/api/v2/menu/1',\\n\\t\\t\\theaders={\\\"x-access-token\\\": a_access_token},\\n\\t\\t\\tdata = json.dumps(\\n\\t\\t\\t\\tself.meal_data), content_type = 'application/json')\\n\\t\\tself.assertEqual(response.status_code, 200)\\n\\n\\t\\tresults = self.client().delete('/api/v2/menu',\\n\\t\\t\\theaders={\\\"x-access-token\\\": access_token})\\n\\t\\tresponse = json.loads(results.data)\\n\\t\\tself.assertEqual(results.status_code, 401)\\n\\t\\tself.assertEqual(response[\\\"message\\\"], \\n\\t\\t\\t\\\"Not authorized to perform this function!\\\")\",\n \"def test_deletehardwares_item(self):\\n pass\",\n \"def test_delete_user(self):\\n\\n with self.client:\\n result = self.client.post('/users/cool-guy-johnny-B/delete',\\n follow_redirects=True)\\n self.assertEqual(result.status_code, 200)\\n self.assertNotIn(b'cool-guy-johnny-B', result.data)\",\n \"def test_app_can_delete_list(self):\\n delete_list=self.client.delete('/shoppinglists/nikes',\\n headers={\\n 'Content-Type':'application/json',\\n 'x-access-token':self.tok})\\n self.assertEqual(delete_list.status_code,200)\",\n \"def test_post_deletion_unauthenticated(self):\\n url = reverse(\\n 'post-detail',\\n args=[\\n self.topic1.url_name,\\n self.post1.id\\n ]\\n )\\n response = self.client.delete(url)\\n\\n self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)\\n deleted_post = Post.objects.filter(\\n id=self.post1.id,\\n )\\n self.assertTrue(deleted_post.exists())\",\n \"def test_delete(self):\\n activity = Activity.objects.first()\\n url, parsed = self.prepare_urls('v1:activity-detail', subdomain=self.company.subdomain, kwargs={'pk': activity.id})\\n \\n response = self.client.delete(url, HTTP_HOST=parsed.netloc, format='json')\\n self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)\\n\\n self.authenticate_user()\\n response = self.client.delete(url, HTTP_HOST=parsed.netloc, format='json')\\n self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)\\n\\n url, parsed = self.prepare_urls('v1:activity-list', subdomain=self.company.subdomain)\\n response = self.client.get(url, HTTP_HOST=parsed.netloc)\\n content = json.loads(response.content)\\n self.assertEqual(self.activities_count-1, content['count']) # deleted 1 activity\",\n \"def test_user_can_delete_their_comment(self):\\n token = self.create_user(VALID_USER_DATA)\\n response = self.create_article(VALID_ARTICLE, token)\\n response = self.create_comment(\\n token=token,\\n parentId=0,\\n slug=response.data['article']['slug']\\n )\\n get_comment_url = reverse('crud-comment', kwargs={\\n 'id': response.data['comment']['id']\\n })\\n response = self.client.delete(\\n get_comment_url,\\n HTTP_AUTHORIZATION=token\\n )\\n self.assertEqual(\\n response.status_code,\\n status.HTTP_200_OK\\n )\",\n \"def test_api_video_delete_detail_staff_or_user(self):\\n video = factories.VideoFactory()\\n for user in [factories.UserFactory(), factories.UserFactory(is_staff=True)]:\\n self.client.login(username=user.username, password=\\\"test\\\")\\n\\n response = self.client.delete(f\\\"/api/videos/{video.id}/\\\")\\n\\n self.assertEqual(response.status_code, 401)\\n content = json.loads(response.content)\\n self.assertEqual(\\n content, {\\\"detail\\\": \\\"Authentication credentials were not provided.\\\"}\\n )\\n self.assertTrue(models.Video.objects.filter(id=video.id).exists())\",\n \"def test_delete(self):\\n\\n\\t\\titem_id = mock_item()[0]\\n\\t\\tmodels.delete(item_id)\\n\\n\\t\\titem = models.item(item_id)\\n\\t\\tself.assertIsNone(item)\",\n \"def test_delete(collection, user_id, media_item, repo):\\n other_user_id = \\\"test-other-user-id\\\"\\n insert1 = collection.insert_one(media_item | {\\\"id\\\": \\\"id1\\\", \\\"userId\\\": user_id})\\n insert2 = collection.insert_one(media_item | {\\\"id\\\": \\\"id2\\\", \\\"userId\\\": user_id})\\n insert3 = collection.insert_one(media_item | {\\\"id\\\": \\\"id3\\\", \\\"userId\\\": other_user_id})\\n repo.delete([\\\"id1\\\"])\\n\\n assert collection.count_documents({\\\"id\\\": \\\"id1\\\"}) == 0\\n assert collection.count_documents({\\\"id\\\": \\\"id2\\\"}) == 1\\n assert collection.count_documents({\\\"id\\\": \\\"id3\\\"}) == 1\",\n \"def test_delete1(self):\\n pass\",\n \"def test_no_delete_button_appears_edit(self):\\n response = self.client.get(reverse('wagtailnews:edit', kwargs={\\n 'pk': self.index.pk, 'newsitem_pk': self.newsitem.pk}))\\n self.assertNotContains(response, self.url)\",\n \"def test_delete_topic_viewset(self):\\n\\n topic = TopicFactory(author=self.user)\\n response = self.client.delete(reverse('api:topics-detail', kwargs={'topic_id': topic.id}))\\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)\\n superuser = UserFactory(is_superuser=True, is_moderator=True, username='superuser')\\n token = Token.objects.get(user=superuser)\\n self.client.credentials(\\n HTTP_AUTHORIZATION=f'Token {token.key}')\\n response = self.client.delete(reverse('api:topics-detail', kwargs={'topic_id': topic.id}))\\n self.assertEqual(response.status_code, status.HTTP_200_OK)\\n self.assertFalse(Topic.objects.filter(id=topic.id).last())\",\n \"def test_not_logged_cannot_delete(self):\\n\\n utils.test_not_logged_cannot_access(self, self.url)\",\n \"def test_destroy_not_owner(self):\\n\\n self.assertEqual(first=1, second=Post.objects.all().count())\\n url = reverse('post-detail', args=(self.post.id,))\\n self.client.credentials(HTTP_AUTHORIZATION=self.token_1)\\n response = self.client.delete(path=url)\\n self.assertEqual(first=403, second=response.status_code)\\n self.assertEqual(first=1, second=Post.objects.all().count())\",\n \"def test_03_product_delete(self):\\n product = self.create_product()\\n products = self.product_obj.search([])\\n self.assertIn(product, products)\\n product.unlink()\\n self.assertNotIn(product.exists(), products)\",\n \"def test_creator_in_group_can_delete(self):\\n\\n self.client.login(username='notlogged', password='notlogged')\\n expected_url = reverse('my_groups_view')\\n\\n utils.test_can_access(self, self.url,\\n post_redirect_url=expected_url)\\n self.assertEqual(len(Group.objects.all()), 0)\",\n \"def test_post_delete_admin(self):\\n url = reverse('post-detail', kwargs={'pk': self.post.id})\\n self.client.force_authenticate(user=self.superuser)\\n response = self.client.delete(url)\\n self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)\",\n \"def test_only_aid_author_can_delete_it(client, contributor):\\n\\n aid = AidFactory(status='published')\\n client.force_login(contributor)\\n delete_url = reverse('aid_delete_view', args=[aid.slug])\\n res = client.post(delete_url, {'confirm': True})\\n assert res.status_code == 404\\n\\n aid.refresh_from_db()\\n assert aid.status == 'published'\",\n \"def test_delete_detail_unauthorized(self):\\n story = create_story(title=\\\"Test Story\\\", summary=\\\"Test Summary\\\",\\n byline=\\\"Test Byline\\\", status=\\\"published\\\",\\n language=\\\"en\\\", author=self.user2)\\n layout = SectionLayout.objects.get(sectionlayouttranslation__name=\\\"Side by Side\\\")\\n container1 = Container.objects.get(name='left')\\n container2 = Container.objects.get(name='right')\\n section = create_section(title=\\\"Test Section 1\\\", story=story,\\n layout=layout)\\n self.assertEqual(Section.objects.filter(story=story).count(), 1)\\n self.api_client.client.login(username=self.username,\\n password=self.password)\\n uri = '/api/0.1/stories/%s/sections/%s/' % (story.story_id,\\n section.section_id)\\n resp = self.api_client.delete(uri)\\n self.assertHttpUnauthorized(resp)\\n self.assertEqual(Section.objects.filter(story=story).count(), 1)\\n self.assertEqual(\\n Section.objects.filter(section_id=section.section_id).count(),\\n 1)\",\n \"def test_delete_non_owner(self):\\n another_user = CustomUser.objects.create(id=134, email='another_user2@mail.com', is_active=True)\\n another_user.set_password('qwerty12345')\\n another_user.save()\\n\\n self.client.login(email='another_user2@mail.com', password='qwerty12345')\\n\\n url = reverse('notification',\\n kwargs={'way_id': self.notification.way_id, 'notification_id': 87876})\\n\\n response = self.client.delete(url)\\n\\n self.assertEqual(response.status_code, 403)\",\n \"def test_delete_collection_o_auth_client_authorization(self):\\n pass\",\n \"def test_delete_item_all_fails(self):\\n\\n web.app.config['READONLY'] = False\\n\\n # Delete all items\\n response = self.client.delete('/item/')\\n self.assertEqual(response.status_code, 405)\\n\\n # Note: if this fails, all items have gone and rest of\\n # tests will fail!\",\n \"def test_shoppingitem_deletion(self):\\n # register and login a user\\n self.app.post('/register', data=self.user_reg_details)\\n self.app.post('/login', data=self.user_login_details)\\n # create a shopping list\\n self.shopping_class_obj.create_list(\\n 'Christmass', 'maina@gmail.com')\\n # create an item\\n self.item_class_obj.add_item(\\n 'Christmass', 'Bread', 'maina@gmail.com')\\n # make a post request with the delete name\\n res = self.app.post(\\n '/delete-item', data={'list_name': 'Christmass', 'item_name': 'Bread'})\\n self.assertEqual(res.status_code, 200)\\n self.item_class_obj.delete_item(\\n 'Bread', 'maina@gmail.com', 'Christmass')\\n # check if delete was successful\\n self.assertIn(\\\"Successfuly deleted item \\\", str(res.data))\",\n \"def test_delete(self):\\n # login as library manager\\n self.authenticate(self.user)\\n\\n # check there are 3 works\\n self.assertEqual(Work.objects.count(), 3)\\n\\n self.assertNotEqual(self.work1.song_set.count(), 0)\\n\\n # prune works\\n response = self.client.delete(self.url)\\n\\n # check http status\\n self.assertEqual(response.status_code, status.HTTP_200_OK)\\n\\n # check the response\\n self.assertDictEqual(response.data, {\\\"deleted_count\\\": 2})\\n\\n # check there are only 1 work remaining\\n self.assertEqual(Work.objects.count(), 1)\\n\\n # check artists with songs remains\\n self.assertEqual(Work.objects.filter(pk=self.work2.pk).count(), 0)\\n self.assertEqual(Work.objects.filter(pk=self.work3.pk).count(), 0)\",\n \"def test_removePost(self):\\n\\t\\tself.client.force_authenticate(user = User.objects.get(id=3))\\n\\n\\t\\tpost5 = Post.objects.create(author=User.objects.get(id=3), \\n\\t\\t\\ttext=\\\"Mahmut is best computer geek I have ever met\\\",\\n\\t\\t\\tgroup=Group.objects.get(id=3))\\n\\n\\t\\turl = \\\"/posts/4/\\\"\\n\\t\\tresponse = self.client.delete(url, format='json')\\n\\t\\tself.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)\\n\\n\\t\\turl = \\\"/posts/3/\\\"\\n\\t\\tresponse = self.client.delete(url, format='json')\\n\\t\\tself.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)\",\n \"def test_post_delete_unauthorized(self):\\n url = reverse('post-detail', kwargs={'pk': self.post.id})\\n response = self.client.delete(url)\\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)\",\n \"def test_delete(self):\\n self.client.force_authenticate(user=self.admin)\\n\\n response = self.client.delete(\\n reverse(\\n 'retreat:waitqueuenotification-detail',\\n kwargs={'pk': 1},\\n ),\\n )\\n\\n self.assertEqual(\\n response.status_code,\\n status.HTTP_405_METHOD_NOT_ALLOWED\\n )\",\n \"def test_delete_note(self):\\n pass\",\n \"def test_users_username_delete(self):\\n pass\",\n \"def test_delete_author_unlogged(self):\\n request = self.client.delete(self.epoint)\\n self.assertEqual(request.status_code, status.HTTP_403_FORBIDDEN)\",\n \"def test_remove_vote_view_allows_to_remove_vote(self):\\n self.client.login(username=\\\"John\\\", password=\\\"newpass1234\\\")\\n votes_len = len(PostVotes.objects.all())\\n response = self.client.post('/posts/1/remove_vote/')\\n self.assertEqual(len(PostVotes.objects.all()), votes_len - 1)\",\n \"def test_a_user_can_dislike_an_article(self):\\n article = self.create_article()\\n\\n slug = article.data['data']['slug']\\n dislike = self.client.post('/api/articles/{}/dislike/'.format(slug),\\n HTTP_AUTHORIZATION='Bearer ' +\\n self.token,\\n format='json')\\n\\n self.assertEqual(dislike.status_code, 200)\",\n \"def test_not_creator_cannot_delete(self):\\n\\n logged_user = utils.create_user_and_authenticate(self)\\n self.group.users.add(logged_user)\\n expected_url = reverse('my_groups_view')\\n\\n utils.test_cannot_access(self, self.url, expected_url)\\n self.assertEqual(len(Group.objects.all()), 1)\",\n \"def test_forum_delete_with_user_and_topic(topic, user):\\n assert user.post_count == 1\\n\\n topic.forum.delete([user])\\n\\n forum = Forum.query.filter_by(id=topic.forum_id).first()\\n\\n assert forum is None\\n\\n assert user.post_count == 0\",\n \"def test_delete_store_success(self):\\n product = sample_product(supplier_id=self.user)\\n url = detail_url(product.id)\\n res = self.client.delete(url)\\n products = Product.objects.all()\\n\\n self.assertEqual(res.status_code, status.HTTP_204_NO_CONTENT)\\n self.assertEqual(len(products), 0)\",\n \"def test_calendar_user_view_delete(self):\\n # delete calendar_setting\\n request = self.factory.post('/module/calendar_user/del/4/', follow=True)\\n request.user = self.user\\n request.session = {}\\n #response = calendar_user_del(request, 4)\\n #self.assertEqual(response.status_code, 302)\\n\\n request = self.factory.post('/module/calendar_user/del/', {'select': '1'})\\n request.user = self.user\\n request.session = {}\\n #response = calendar_user_del(request, 0)\\n #self.assertEqual(response.status_code, 302)\",\n \"def test_delete_but_no_view_permission(client):\\n user = user_with_permissions(\\\"polls.delete_poll\\\")\\n\\n url = reverse(\\\"admin:index\\\")\\n client.force_login(user)\\n\\n response = client.get(url)\\n assert parse_sidemenu(response) == {\\\"Global\\\": [\\\"/en/admin/\\\"], \\\"Polls\\\": [None]}\",\n \"def test_delete(self):\\n self.assertEqual(Product.objects.count(), 2)\\n\\n headers = {\\n 'HTTP_AUTHORIZATION': 'Token ' + str(self.token_admin)\\n }\\n response = self.client.delete(\\n '/api/products/{}/'.format(self.product_1.id), **headers)\\n self.assertEqual(response.status_code, 204)\\n self.assertEqual(Product.objects.count(), 1)\",\n \"def test_delete(self):\\n self.assertFalse(self.user1.ad_deleted)\\n self.assertTrue(self.user1.active)\\n url = '/api/users/{}/'.format(self.user1.ad_guid)\\n data = {'Deleted': True}\\n response = self.client.put(url, json.dumps(data), content_type='application/json')\\n self.assertEqual(response.status_code, 202)\\n user = DepartmentUser.objects.get(pk=self.user1.pk) # Refresh from db\\n self.assertTrue(user.ad_deleted)\\n self.assertFalse(user.active)\\n self.assertTrue(user.in_sync)\\n # Also delete a second object, to check for silly 'empty string' collisions.\\n url = '/api/users/{}/'.format(self.user2.ad_guid)\\n response = self.client.put(url, json.dumps(data), content_type='application/json')\\n self.assertEqual(response.status_code, 202)\",\n \"def test_delete_user(patch_mongo):\\n user_list = [\\n {\\\"name\\\": \\\"John\\\"},\\n {\\\"name\\\": \\\"Sarah\\\"},\\n {\\\"name\\\": \\\"Paula\\\"},\\n ]\\n item_list = [\\n {\\n \\\"content\\\": \\\"lorem ipsum\\\",\\n \\\"priority\\\": \\\"high\\\",\\n \\\"status\\\": \\\"backlog\\\",\\n \\\"users\\\": [\\\"John\\\"],\\n },\\n {\\n \\\"content\\\": \\\"lorem ipsum\\\",\\n \\\"priority\\\": \\\"high\\\",\\n \\\"status\\\": \\\"in_progress\\\",\\n \\\"users\\\": [\\\"John\\\", \\\"Sarah\\\"],\\n }\\n ]\\n\\n for user in user_list:\\n response = client.put(\\\"/user\\\", json=user)\\n assert response.status_code == status.HTTP_201_CREATED\\n for item in item_list:\\n response = client.post(\\\"/item\\\", json=item)\\n assert response.status_code == status.HTTP_200_OK\\n\\n response = client.delete(\\\"/users/John\\\")\\n assert response.status_code == status.HTTP_200_OK\\n\\n # check if the user has been deleted\\n response = client.get(\\\"/users\\\")\\n assert response.status_code == status.HTTP_200_OK\\n msg = response.json()\\n assert \\\"John\\\" not in [m[\\\"name\\\"] for m in msg]\\n\\n # check if the corresponding items have been deleted as well\\n response = client.get(\\\"/items\\\")\\n assert response.status_code == status.HTTP_200_OK\\n msg = response.json()\\n for item in msg:\\n assert len(item[\\\"users\\\"]) > 0\\n assert \\\"John\\\" not in item[\\\"users\\\"]\",\n \"def test_delete_detail_unauthenticated(self):\\n story = create_story(title=\\\"Test Story\\\", summary=\\\"Test Summary\\\",\\n byline=\\\"Test Byline\\\", status=\\\"published\\\",\\n language=\\\"en\\\", author=self.user)\\n layout = SectionLayout.objects.get(sectionlayouttranslation__name=\\\"Side by Side\\\")\\n container1 = Container.objects.get(name='left')\\n container2 = Container.objects.get(name='right')\\n section = create_section(title=\\\"Test Section 1\\\", story=story,\\n layout=layout)\\n self.assertEqual(Section.objects.filter(story=story).count(), 1)\\n uri = '/api/0.1/stories/%s/sections/%s/' % (story.story_id,\\n section.section_id)\\n resp = self.api_client.delete(uri)\\n self.assertHttpUnauthorized(resp)\\n self.assertEqual(Section.objects.filter(story=story).count(), 1)\\n self.assertEqual(\\n Section.objects.filter(section_id=section.section_id).count(),\\n 1)\",\n \"def test_delete_user_field(self):\\n pass\",\n \"def test_delete7(self):\\n pass\",\n \"def test_delete_category(self):\\n pass\",\n \"def test_delete_users_non_admin(client: FlaskClient) -> None:\\n username = create_random_username()\\n # Non-admin users are not allowed to make the request\\n auth_token = create_auth_token(username)\\n response = delete_users(client, auth_token.signed)\\n assert_error_response(response, HTTPStatus.FORBIDDEN)\",\n \"def test_delete_function(self): \\n self.new_user.save_prof()\\n user2 = User_prof(username = \\\"mbugua\\\", bio = \\\"the world revolves\\\" ) \\n user2.save_prof()\\n \\n user2.delete_prof()\\n all = User_prof.objects.all()\\n self.assertEqual(len(all),1)\",\n \"def test_delete_list(self):\\n r = main.List.connection()\\n main.List.add(r, \\\"ToDo\\\", 1, \\\"Buy apples\\\", 2, \\\"20.05.2015\\\")\\n main.List.delete(r, \\\"ToDo\\\", \\\"all\\\")\\n task = r.get(\\\"ToDo\\\")\\n self.assertFalse(task, \\\"Deleting task list failed.\\\")\",\n \"def test_post_delete_post_as_logged_in_user(self):\\n login = self.client.login(username='testuser_normal', password='password12345')\\n\\n if login:\\n\\n last_post = Post.objects.get(title=\\\"test3\\\")\\n url = reverse('blogs:delete', kwargs={'slug': last_post.slug})\\n response = self.client.get(url)\\n\\n # There should still be a blog post with this title. Hence we should still be able to find the blog post\\n check_post = Post.objects.get(slug=last_post.slug)\\n self.assertEqual(check_post.title, last_post.title)\\n self.assertEqual(check_post.content, last_post.content)\\n self.assertEqual(check_post.pk, last_post.pk)\\n self.assertEqual(response.status_code, 403)\\n self.client.logout()\\n else:\\n # TODO Make this dynamic rather than hard coded text string\\n self.fail('Login Failed for testuser_staff')\",\n \"def test_delete_author_logged(self):\\n self.client.force_authenticate(user=self.user)\\n\\n request = self.client.delete(self.epoint)\\n self.assertEqual(request.status_code, status.HTTP_204_NO_CONTENT)\",\n \"def test_delete_user_does_not_exists(self, client, users):\\n user = users[0]\\n url = reverse('users:delete', args=(user.pk + 100,))\\n response = client.post(url)\\n assert response.status_code == 404\",\n \"def test_delete_shelf_unauthorized(self, *_):\\n with patch(\\\"bookwyrm.suggested_users.rerank_suggestions_task.delay\\\"), patch(\\n \\\"bookwyrm.activitystreams.populate_stream_task.delay\\\"\\n ):\\n rat = models.User.objects.create_user(\\n \\\"rat@local.com\\\",\\n \\\"rat@mouse.mouse\\\",\\n \\\"password\\\",\\n local=True,\\n localname=\\\"rat\\\",\\n )\\n request = self.factory.post(\\\"\\\")\\n request.user = rat\\n\\n with self.assertRaises(PermissionDenied):\\n views.delete_shelf(request, self.shelf.id)\\n\\n self.assertTrue(models.Shelf.objects.filter(id=self.shelf.id).exists())\",\n \"def test_category_delete_with_user(topic):\\n user = topic.user\\n forum = topic.forum\\n category = topic.forum.category\\n\\n assert user.post_count == 1\\n assert forum.post_count == 1\\n assert forum.topic_count == 1\\n\\n category.delete([user])\\n\\n assert user.post_count == 0\\n\\n category = Category.query.filter_by(id=category.id).first()\\n topic = Topic.query.filter_by(id=topic.id).first()\\n\\n assert category is None\\n # The topic should also be deleted\\n assert topic is None\",\n \"def test_post_deletion_success(self):\\n url = reverse(\\n 'post-detail',\\n args=[\\n self.topic1.url_name,\\n self.post1.id\\n ]\\n )\\n self.client.credentials(\\n HTTP_AUTHORIZATION = 'Token ' + self.user1.auth_token.key\\n )\\n response = self.client.delete(url)\\n\\n self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)\\n deleted_post = Post.objects.filter(\\n id=self.post1.id,\\n )\\n self.assertFalse(deleted_post.exists())\",\n \"def test_delete_cart_item_unauthorized(self):\\n user_id = '111'\\n cart_id = self.cart_item_manager.create_cart(user_id, 'test cart', False)\\n item_id1 = self.cart_item_manager.add_cart_item(self.catalog, user_id, cart_id, '1', 'entity_type',\\n 'entity_version')\\n with self.assertRaises(ResourceAccessError):\\n self.cart_item_manager.delete_cart_item('112', cart_id, item_id1)\",\n \"def test_delete_activity_template(self):\\n pass\",\n \"def test_invalid_user_can_delete_a_comment(self):\\n token = self.create_user(VALID_USER_DATA)\\n response = self.create_article(VALID_ARTICLE, token)\\n response = self.create_comment(\\n token=token,\\n parentId=0,\\n slug=response.data['article']['slug']\\n )\\n token = self.create_user(VALID_USER_DATA_2)\\n get_comment_url = reverse('crud-comment', kwargs={\\n 'id': response.data['comment']['id']\\n })\\n response = self.client.delete(\\n get_comment_url,\\n HTTP_AUTHORIZATION=token\\n )\\n self.assertEqual(\\n response.status_code,\\n status.HTTP_403_FORBIDDEN\\n )\",\n \"def test_delete_button_appears_index(self):\\n response = self.client.get(reverse('wagtailnews:index', kwargs={\\n 'pk': self.index.pk}))\\n self.assertContains(response, self.url)\",\n \"def test_delete_a_todo(self):\\n # hit the API endpoint\\n response = self.delete_a_todo(1)\\n self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)\\n # test with invalid data\\n response = self.delete_a_todo(100)\\n self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.7346576","0.7196256","0.7074144","0.7073241","0.70127547","0.6967538","0.69355977","0.68979067","0.6893966","0.6867691","0.68661195","0.6843971","0.6843971","0.6819755","0.6792642","0.67875606","0.6777115","0.67718256","0.6741807","0.6733608","0.6723089","0.67204016","0.6697116","0.66890484","0.668527","0.66658187","0.6646272","0.6640738","0.6629327","0.66170716","0.6612891","0.6611653","0.6605742","0.66028863","0.6602389","0.65974927","0.65968394","0.65865135","0.6561779","0.6560674","0.6535543","0.651564","0.65020007","0.64905965","0.6476677","0.64720255","0.64668715","0.6466508","0.64608413","0.6455981","0.6441985","0.64375824","0.6435701","0.6423291","0.64092106","0.6408927","0.64084524","0.6407483","0.6406553","0.6402243","0.6400281","0.6397174","0.6377169","0.63735247","0.6369401","0.6364095","0.6351631","0.6346346","0.6330872","0.6328741","0.6326513","0.63237005","0.63221955","0.6322018","0.63074815","0.62872434","0.62829053","0.6282472","0.62811303","0.6280221","0.627776","0.6276057","0.6269515","0.6265537","0.6265035","0.626126","0.6259464","0.6237942","0.6234054","0.62324286","0.62283903","0.6218053","0.6215142","0.6210053","0.62076944","0.6207535","0.62045085","0.620447","0.6200266","0.61931044","0.6187506"],"string":"[\n \"0.7346576\",\n \"0.7196256\",\n \"0.7074144\",\n \"0.7073241\",\n \"0.70127547\",\n \"0.6967538\",\n \"0.69355977\",\n \"0.68979067\",\n \"0.6893966\",\n \"0.6867691\",\n \"0.68661195\",\n \"0.6843971\",\n \"0.6843971\",\n \"0.6819755\",\n \"0.6792642\",\n \"0.67875606\",\n \"0.6777115\",\n \"0.67718256\",\n \"0.6741807\",\n \"0.6733608\",\n \"0.6723089\",\n \"0.67204016\",\n \"0.6697116\",\n \"0.66890484\",\n \"0.668527\",\n \"0.66658187\",\n \"0.6646272\",\n \"0.6640738\",\n \"0.6629327\",\n \"0.66170716\",\n \"0.6612891\",\n \"0.6611653\",\n \"0.6605742\",\n \"0.66028863\",\n \"0.6602389\",\n \"0.65974927\",\n \"0.65968394\",\n \"0.65865135\",\n \"0.6561779\",\n \"0.6560674\",\n \"0.6535543\",\n \"0.651564\",\n \"0.65020007\",\n \"0.64905965\",\n \"0.6476677\",\n \"0.64720255\",\n \"0.64668715\",\n \"0.6466508\",\n \"0.64608413\",\n \"0.6455981\",\n \"0.6441985\",\n \"0.64375824\",\n \"0.6435701\",\n \"0.6423291\",\n \"0.64092106\",\n \"0.6408927\",\n \"0.64084524\",\n \"0.6407483\",\n \"0.6406553\",\n \"0.6402243\",\n \"0.6400281\",\n \"0.6397174\",\n \"0.6377169\",\n \"0.63735247\",\n \"0.6369401\",\n \"0.6364095\",\n \"0.6351631\",\n \"0.6346346\",\n \"0.6330872\",\n \"0.6328741\",\n \"0.6326513\",\n \"0.63237005\",\n \"0.63221955\",\n \"0.6322018\",\n \"0.63074815\",\n \"0.62872434\",\n \"0.62829053\",\n \"0.6282472\",\n \"0.62811303\",\n \"0.6280221\",\n \"0.627776\",\n \"0.6276057\",\n \"0.6269515\",\n \"0.6265537\",\n \"0.6265035\",\n \"0.626126\",\n \"0.6259464\",\n \"0.6237942\",\n \"0.6234054\",\n \"0.62324286\",\n \"0.62283903\",\n \"0.6218053\",\n \"0.6215142\",\n \"0.6210053\",\n \"0.62076944\",\n \"0.6207535\",\n \"0.62045085\",\n \"0.620447\",\n \"0.6200266\",\n \"0.61931044\",\n \"0.6187506\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":86780,"cells":{"query":{"kind":"string","value":"Test user can not delete without permission"},"document":{"kind":"string","value":"def test_no_permission(self):\n self.assertStatusCode(self.url, 403)"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def test_delete_permission(self):\r\n self.assertFalse(self.creator_admin.has_delete_permission(self.request))","def test_delete_user(self):\n pass","def test_delete_user(self):\n pass","def testDeleteIsAllowed(self):\n UserAPI().create([(u'user', u'secret', u'User', u'user@example.com')])\n namespaces = SecureNamespaceAPI(self.system.users['fluiddb'])\n namespaces.delete([u'user/private'])\n self.users.delete([u'user'])\n self.assertIdentical(None, getUser(u'user'))","def test_cannot_delete_usage(self):\n p = Permission.objects.get(name='Can delete usage')\n self.user.user_permissions.add(p)\n self.client.login(username='testuser', password='q2w3E$R%')\n response = self.client.delete(reverse('api_v1:usage-detail', kwargs={'pk': 1}),\n follow=True)\n self.assertEqual(response.status_code, 405)\n self.assertIn('not allowed', str(response.content))","def can_delete(self, user):\n raise Return(False)","def test_user_id_delete(self):\n pass","def testDeleteAccessDenied(self):\n self.assertEqual(SequencingMachine.objects.count(), 1)\n self.runDelete(None, sequencer=self.hiseq2000.sodar_uuid)\n self.assertEqual(SequencingMachine.objects.count(), 1)\n self.response_401()\n for user in (self.guest, self.norole, self.unrelated_owner):\n self.assertEqual(SequencingMachine.objects.count(), 1)\n self.runDelete(user, sequencer=self.hiseq2000.sodar_uuid)\n self.assertEqual(SequencingMachine.objects.count(), 1)\n self.response_403()","def testDeleteUserIsDenied(self):\n [(objectID, username)] = UserAPI().create(\n [(u'user', u'secret', u'User', u'user@example.com')])\n self.store.commit()\n with login(u'user', objectID, self.transact) as session:\n deferred = self.facade.deleteUser(session, u'doomed')\n error = yield self.assertFailure(deferred, TPathPermissionDenied)\n self.assertEqual(u'doomed', error.path)","def test_delete(self):\n user = self.custodian_1_user\n urls = [reverse('api:user-detail', kwargs={'pk': user.pk})]\n data = None\n access = {\n \"forbidden\": [self.anonymous_client, self.readonly_client, self.custodian_1_client, self.admin_client,\n self.custodian_2_client],\n \"allowed\": []\n }\n\n for client in access['forbidden']:\n for url in urls:\n self.assertIn(\n client.delete(url, data, format='json').status_code,\n [status.HTTP_401_UNAUTHORIZED, status.HTTP_403_FORBIDDEN]\n )\n\n for client in access['allowed']:\n for url in urls:\n self.assertEqual(\n client.delete(url, data, format='json').status_code,\n status.HTTP_200_OK\n )","def testDeleteIsDenied(self):\n error = self.assertRaises(PermissionDeniedError, self.users.delete,\n [u'user'])\n self.assertEqual(self.user.username, error.username)\n self.assertEqual([(u'user', Operation.DELETE_USER)],\n error.pathsAndOperations)","def testDeleteIsDenied(self):\n error = self.assertRaises(PermissionDeniedError, self.users.delete,\n [u'user'])\n self.assertEqual(self.user.username, error.username)\n self.assertEqual([(u'user', Operation.DELETE_USER)],\n error.pathsAndOperations)","def test_delete_fail(self):\n self.user_api()\n self.base.metadata.create_all(self.engine)\n people = self.provision_users()\n p = {'id': people[2].id}\n self.delete('user', 403, params=p)","def test_delete_non_owner(self):\n another_user = CustomUser.objects.create(id=134, email='another_user2@mail.com', is_active=True)\n another_user.set_password('qwerty12345')\n another_user.save()\n\n self.client.login(email='another_user2@mail.com', password='qwerty12345')\n\n url = reverse('notification',\n kwargs={'way_id': self.notification.way_id, 'notification_id': 87876})\n\n response = self.client.delete(url)\n\n self.assertEqual(response.status_code, 403)","def test_delete_device_user(self):\n pass","def test_delete_post_by_user(self):\n\n response = self.client.delete(reverse('api:posts-detail', kwargs={'pk': self.post1.id}))\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)","def test_delete_author_unlogged(self):\n request = self.client.delete(self.epoint)\n self.assertEqual(request.status_code, status.HTTP_403_FORBIDDEN)","def test_jenkins_user_delete(self):\n ju = JenkinsUser.objects.get(username=\"user_1\")\n self.assertRaises(django.db.models.deletion.ProtectedError, ju.delete)","def test_not_logged_cannot_delete(self):\n\n utils.test_not_logged_cannot_access(self, self.url)","def test_admin_cannot_delete_non_existant_user(self):\n resp = self.admin_create_user()\n reply = self.admin_login()\n token = reply['token']\n \n resp = self.client.delete(\n '/api/v1/users/5',\n content_type='application/json',\n headers={'Authorization': 'Bearer {}'.format(token)}\n )\n reply = json.loads(resp.data.decode())\n self.assertEqual(reply['message'], \"This attendant does not exist!\")\n self.assertEqual(resp.status_code, 404)","def test_delete__forbidden(self):\n testing_config.sign_in('one@example.com', 123567890)\n\n with test_app.test_request_context(self.request_path):\n with self.assertRaises(werkzeug.exceptions.Forbidden):\n self.handler.do_delete(account_id=self.appuser_id)\n\n unrevised_appuser = user_models.AppUser.get_by_id(self.appuser_id)\n self.assertEqual('user@example.com', unrevised_appuser.email)","def testDeleteAccessAllowed(self):\n for user in (self.contributor, self.delegate, self.owner, self.root):\n SequencingMachine.objects.all().delete()\n machine = self.make_machine()\n self.assertEqual(SequencingMachine.objects.count(), 1)\n response = self.runDelete(user, sequencer=machine.sodar_uuid)\n self.response_204(response)\n self.assertEqual(SequencingMachine.objects.count(), 0)","def test_delete_users_non_admin(client: FlaskClient) -> None:\n username = create_random_username()\n # Non-admin users are not allowed to make the request\n auth_token = create_auth_token(username)\n response = delete_users(client, auth_token.signed)\n assert_error_response(response, HTTPStatus.FORBIDDEN)","def test_delete_user_field(self):\n pass","def test_handle_delete_not_admin(self):\n team = Team(\"BRS\", \"brs\", \"web\")\n test_user = User(\"userid\")\n self.db.retrieve.return_value = test_user\n self.db.query.return_value = [team]\n self.assertTupleEqual(self.testcommand.handle(\"team delete brs\", user),\n (self.testcommand.permission_error, 200))\n self.db.delete.assert_not_called()\n self.gh.org_delete_team.assert_not_called()","def test_not_creator_cannot_delete(self):\n\n logged_user = utils.create_user_and_authenticate(self)\n self.group.users.add(logged_user)\n expected_url = reverse('my_groups_view')\n\n utils.test_cannot_access(self, self.url, expected_url)\n self.assertEqual(len(Group.objects.all()), 1)","def test_groups_group_users_user_delete(self):\n pass","def test_groups_group_users_user_delete(self):\n pass","def delete_user():","def test_no_perm_thread_delete(self):\n self.context['request'].user = User.objects.get(pk=118533)\n allowed = has_perm(self.context, 'forums_forum.thread_delete_forum',\n self.forum_1)\n eq_(allowed, False)\n allowed = has_perm(self.context, 'forums_forum.thread_delete_forum',\n self.forum_2)\n eq_(allowed, False)","def test_delete(self, client, users):\n user = users[0]\n url = reverse('users:delete', args=(user.pk,))\n response = client.get(url)\n assert response.status_code == 405\n response = client.post(url)\n assert response.status_code == 302\n assert response.url == reverse('users:list')\n assert not get_user_model().objects.filter(pk=user.pk).exists()","def test_users_username_delete(self):\n pass","def test_creator_in_group_can_delete(self):\n\n self.client.login(username='notlogged', password='notlogged')\n expected_url = reverse('my_groups_view')\n\n utils.test_can_access(self, self.url,\n post_redirect_url=expected_url)\n self.assertEqual(len(Group.objects.all()), 0)","def test_delete_collection_user(self):\n pass","def test_delete(self):\n pass","def test_admin_can_delete_a_user(self):\n resp = self.admin_create_user()\n reply = self.admin_login()\n token = reply['token']\n \n resp = self.client.delete(\n '/api/v1/users/2',\n content_type='application/json',\n headers={'Authorization': 'Bearer {}'.format(token)}\n )\n reply = json.loads(resp.data.decode())\n self.assertEqual(reply['message'], \"User deleted!\")\n self.assertEqual(resp.status_code, 200)","def test_has_perm_thread_delete(self):\n self.context['request'].user = User.objects.get(pk=47963)\n allowed = has_perm(self.context, 'forums_forum.thread_delete_forum',\n self.forum_1)\n eq_(allowed, True)\n allowed = has_perm(self.context, 'forums_forum.thread_delete_forum',\n self.forum_2)\n eq_(allowed, False)","def test_security_on_delete(self):\n # test the delete product url\n product = Product.objects.all()[0]\n url = '/product/xml/%s/' % product.item_number\n response = self.client.delete(url)\n self.failUnlessEqual(response.status_code, 401)","def test_post_delete_logged_in(self):\n url = reverse('post-detail', kwargs={'pk': self.post.id})\n self.client.force_authenticate(user=self.user)\n response = self.client.delete(url)\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)","def test_remove_user(self):\n pass","def test_none_admin_delete(self):\n\n with self.client:\n token = self.customer()\n id = 1\n response = self.client.delete('api/v1/meals/{}'.format(id),\n headers=({\"token\": token}))\n data = json.loads(response.data.decode())\n self.assertEqual(data.get('message'),\n \"Customer is not authorized to access this page\")\n self.assertEqual(response.status_code, 401)","def test_delete_user(self):\n\n with self.client:\n result = self.client.post('/users/cool-guy-johnny-B/delete',\n follow_redirects=True)\n self.assertEqual(result.status_code, 200)\n self.assertNotIn(b'cool-guy-johnny-B', result.data)","def test_delete_role(self):\n pass","def can_delete(self):\r\n return True","def test_delete_other_users_template_as_user_raises_access_control_error(\n self,\n ):\n mock_request = create_mock_request(user=self.user1)\n with self.assertRaises(AccessControlError):\n template_api.delete(\n self.fixture.user2_template, request=mock_request\n )","def test_delete_delegate_unauthorized(self):\n new_user = self.make_user('new_user')\n delegate_as = self.make_assignment(\n self.project, new_user, self.role_delegate\n )\n self.assertEqual(RoleAssignment.objects.count(), 4)\n url = reverse(\n 'projectroles:api_role_destroy',\n kwargs={'roleassignment': delegate_as.sodar_uuid},\n )\n # NOTE: Perform record as contributor user\n token = self.get_token(self.assign_user)\n response = self.request_knox(url, method='DELETE', token=token)\n self.assertEqual(response.status_code, 403, msg=response.content)\n self.assertEqual(RoleAssignment.objects.count(), 4)","def test_delete_o_auth_client_authorization(self):\n pass","def delete_user():\n #TODO user delete\n pass","def test_has_perm_post_delete(self):\n self.context['request'].user = User.objects.get(pk=47963)\n allowed = has_perm(self.context, 'forums_forum.post_delete_forum',\n self.forum_1)\n eq_(allowed, True)\n allowed = has_perm(self.context, 'forums_forum.post_delete_forum',\n self.forum_2)\n eq_(allowed, False)","def test_post_delete_unauthorized(self):\n url = reverse('post-detail', kwargs={'pk': self.post.id})\n response = self.client.delete(url)\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)","def test_admin_delete_user_taskrun(self):\r\n\r\n with self.flask_app.test_request_context('/'):\r\n user_taskrun = TaskRunFactory.create()\r\n\r\n assert self.mock_admin.id != user_taskrun.user.id\r\n assert_not_raises(Exception,\r\n getattr(require, 'taskrun').delete,\r\n user_taskrun)","def test_080_user_delete(self):\n\n testflow.step(RMV_USR_MSG, TEST_GROUP_DELETE)\n assert USER_CLI.run('delete', TEST_USER_DELETE)[0]","def on_model_delete(self, model):\n if not current_user.is_active or not current_user.is_authenticated:\n abort(403)\n if not user_has_permission(current_user, 'can_delete','admins'):\n abort(403)","def test_fail_delete_detail_user(sample_user):\n\n client = auth_client(APIClient(), sample_user.email, \"testpassword\")\n\n response = client.delete(reverse(\"user-detail\"), format=\"json\")\n assert response.status_code == status.HTTP_405_METHOD_NOT_ALLOWED","def test_delete_admin_from_org(self):\n pass","def test_not_owner(self):\n creating_user = create_user()\n creating_user.save()\n festival = create_festival('test', creating_user)\n festival.save()\n\n concert = create_concert(festival, 'test')\n concert.save()\n\n login(self.client)\n\n client = create_client('test')\n client.delete_access = True\n client.save()\n\n response = self.client.post('/backend/u/conc/', {'client': 'test', 'id': concert.pk})\n self.assertEqual(response.status_code, 200)\n self.assertEqual('Permission not granted', response.content.decode('utf-8'))","def test_permission_remove_action_for_all_users(self):\n test_name = sys._getframe().f_code.co_name\n self._execute('permission add anonymous TICKET_CREATE')\n self._execute('permission remove * TICKET_CREATE')\n rv, output = self._execute('permission list')\n self.assertEqual(0, rv)\n self.assertEqual(self.expected_results[test_name], output)","def test_requester_is_no_admin(self) -> None:\n\n channel = self.make_request(\n \"DELETE\",\n self.url,\n access_token=self.other_user_tok,\n )\n\n self.assertEqual(403, channel.code, msg=channel.json_body)\n self.assertEqual(Codes.FORBIDDEN, channel.json_body[\"errcode\"])","def test_delete_author_logged(self):\n self.client.force_authenticate(user=self.user)\n\n request = self.client.delete(self.epoint)\n self.assertEqual(request.status_code, status.HTTP_204_NO_CONTENT)","def test_successfult_post_deletion(self):\n self.user.is_moderator = True\n self.user.save()\n response = self.client.delete(reverse('api:posts-detail', kwargs={'pk': self.post1.id}))\n self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)\n self.assertEqual(Post.objects.count(), 1)","def test_authenticated_user_delete(self):\r\n with self.flask_app.test_request_context('/'):\r\n for token in self.auth_providers:\r\n assert_raises(Forbidden,\r\n getattr(require, 'token').delete,\r\n token)","def test_delete_run(self):\n pass","def delete_user():\r\n raise NotImplementedError()","def test_anonymous_user_delete_user_taskrun(self):\r\n\r\n with self.flask_app.test_request_context('/'):\r\n user_taskrun = TaskRunFactory.create()\r\n\r\n assert_raises(Unauthorized,\r\n getattr(require, 'taskrun').delete,\r\n user_taskrun)","def test_delete__forbidden(self):\n testing_config.sign_in('one@example.com', 123567890)\n\n with register.app.test_request_context(self.request_path):\n with self.assertRaises(werkzeug.exceptions.Forbidden):\n self.handler.do_delete(self.feature_id)\n\n revised_feature = models.Feature.get_by_id(self.feature_id)\n self.assertFalse(revised_feature.deleted)","def test_user_delete_GET(self):\r\n\r\n with self.client:\r\n u = User.query.first()\r\n response = self.client.get(\r\n f'/users/${u.username}/delete', follow_redirects=True)\r\n self.assertIn(b'Unauthorized.', response.data)","def test_products_ref_users_user_delete(self):\n pass","def test_delete_global_template_as_user_raises_access_control_error(self):\n mock_request = create_mock_request(user=self.user1)\n with self.assertRaises(AccessControlError):\n template_api.delete(\n self.fixture.global_template, request=mock_request\n )","def test_delete_other_users_template_as_staff_raises_access_control_error(\n self,\n ):\n mock_request = create_mock_request(user=self.staff_user1)\n with self.assertRaises(AccessControlError):\n template_api.delete(\n self.fixture.user2_template, request=mock_request\n )","def test_delete_user_template_as_anonymous_with_access_right_raises_access_control_error(\n self,\n ):\n mock_request = create_mock_request(user=self.anonymous_user)\n with self.assertRaises(AccessControlError):\n template_api.delete(\n self.fixture.user1_template, request=mock_request\n )","def test_delete(self):\n\n url = reverse('file')\n\n data = {}\n\n self.client.force_authenticate(user=self.test_user_obj)\n response = self.client.delete(url, data)\n\n self.assertEqual(response.status_code, status.HTTP_405_METHOD_NOT_ALLOWED)","def test_delete_assigned_resource_by_non_admin(self):\n CommonTestCases.user_token_assert_in(\n self,\n delete_assigned_resource_mutation,\n \"You are not authorized to perform this action\"\n )","def test_remove_facility_pt3(self):\n self.assertFalse(self.learner1.has_perm('auth.remove_facility'))","def test_delete_device_users(self):\n pass","def test_duo_account_delete(self):\n pass","def test_remove_facility_pt1(self):\n self.assertFalse(self.admin.has_perm('auth.remove_facility'))","def test_delete_user_by_id_non_admin(client: FlaskClient, db_session) -> None:\n username = create_random_username()\n populate_database_with_users(db_session, username)\n auth_token = create_auth_token(username)\n response = delete_user(client, username, auth_token.signed)\n assert response.status_code == HTTPStatus.NO_CONTENT\n assert response.content_length is None\n assert GifSyncUser.get_by_username(username) is None","def test_delete__valid(self):\n testing_config.sign_in('admin@example.com', 123567890)\n\n with test_app.test_request_context(self.request_path):\n actual_json = self.handler.do_delete(account_id=self.appuser_id)\n self.assertEqual({'message': 'Done'}, actual_json)\n\n revised_appuser = user_models.AppUser.get_by_id(self.appuser_id)\n self.assertIsNone(revised_appuser)","def test_del_user(self, api):\n self.builder.add_user(api.get_user())\n resp = api.del_user(api.get_user())\n assert resp.status_code == 204\n with pytest.raises(ObjectDeletedError):\n assert self.builder.check_user(api.get_user()) is False","def test_cannot_delete_user_with_blacklisted_token(self):\n resp = self.admin_create_user()\n reply = self.admin_login()\n token = reply['token']\n\n resp = self.client.delete(\n '/api/v1/logout',\n headers={'Authorization': 'Bearer {}'.format(token)}\n )\n reply = json.loads(resp.data.decode())\n self.assertEqual(reply['message'], 'You are successfully logged out!')\n self.assertEqual(resp.status_code, 200)\n\n resp = self.client.delete(\n '/api/v1/users/2',\n content_type='application/json',\n headers={'Authorization': 'Bearer {}'.format(token)}\n )\n reply = json.loads(resp.data.decode())\n self.assertEqual(reply['message'], 'Invalid Authentication, Please Login!')\n self.assertEqual(resp.status_code, 401)","def test_remove_facility_pt4(self):\n with self.assertRaises(InvalidPermission):\n self.assertFalse(self.learner1.has_perm('auth.remove_facility', obj=[]))","def test_authenticated_user_delete_other_users_taskrun(self):\r\n\r\n with self.flask_app.test_request_context('/'):\r\n own_taskrun = TaskRunFactory.create()\r\n other_users_taskrun = TaskRunFactory.create()\r\n\r\n assert self.mock_authenticated.id == own_taskrun.user.id\r\n assert self.mock_authenticated.id != other_users_taskrun.user.id\r\n assert_not_raises(Exception,\r\n getattr(require, 'taskrun').delete,\r\n own_taskrun)\r\n assert_raises(Forbidden,\r\n getattr(require, 'taskrun').delete,\r\n other_users_taskrun)","def test_delete(self):\n self.client.force_authenticate(user=self.admin)\n\n response = self.client.delete(\n reverse(\n 'retreat:waitqueuenotification-detail',\n kwargs={'pk': 1},\n ),\n )\n\n self.assertEqual(\n response.status_code,\n status.HTTP_405_METHOD_NOT_ALLOWED\n )","def test_user_group_controller_delete(self):\n pass","def on_model_delete(self, model):\n if not current_user.is_active or not current_user.is_authenticated:\n abort(403)\n if not user_has_permission(current_user, 'can_delete','roles'):\n abort(403)","def test_handle_delete_as_admin(self):\r\n def facade_retrieve_side_effect(*args, **kwargs):\r\n \"\"\"Return a side effect for the mock facade.\"\"\"\r\n if args[0] == Project:\r\n return Project(\"\", [])\r\n elif args[0] == Team:\r\n team = Team(\"GTID\", \"team-name\", \"display-name\")\r\n return team\r\n else:\r\n calling_user = User(user)\r\n calling_user.permissions_level = Permissions.admin\r\n return calling_user\r\n self.mock_facade.retrieve.side_effect = facade_retrieve_side_effect\r\n self.assertTupleEqual(\r\n self.testcommand.handle(\"project delete ID\",\r\n user),\r\n (\"Project successfully deleted!\", 200))","def test_delete_user(self) :\n self.new_credential.save_credential()\n test_credential = Credential(\"peter\", \"Peter\", \"Peter003\") # new user\n test_credential.save_credential()\n self.assertEqual(len(Credential.credential_list),2)","def test_delete_not_my_product(self):\n self._require_login(self.user1)\n response = self.client.delete('/api/1.0/products/2/')\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)","def canDelete(id, userId):\n db = core.connect()\n theShift = db[id]\n return user.isAdmin(userId) or (userId == theShift['createdBy'])","def test_user_is_really_deleted():\n response = api_helper.get_user(user_id=pytest.test_user.id)\n assert response.status_code == 200\n assert len(response.json()['data']) == 0","def test_IDeleteCapability(self):\n self.assertFalse(self.ldap.allowDeletePrincipal(\"uid0\"))\n self.assertFalse(self.ldap.allowDeletePrincipal(\"unknownuser\"))","def test_delete(self):\n self.assertFalse(self.user1.ad_deleted)\n self.assertTrue(self.user1.active)\n url = '/api/users/{}/'.format(self.user1.ad_guid)\n data = {'Deleted': True}\n response = self.client.put(url, json.dumps(data), content_type='application/json')\n self.assertEqual(response.status_code, 202)\n user = DepartmentUser.objects.get(pk=self.user1.pk) # Refresh from db\n self.assertTrue(user.ad_deleted)\n self.assertFalse(user.active)\n self.assertTrue(user.in_sync)\n # Also delete a second object, to check for silly 'empty string' collisions.\n url = '/api/users/{}/'.format(self.user2.ad_guid)\n response = self.client.put(url, json.dumps(data), content_type='application/json')\n self.assertEqual(response.status_code, 202)","def test_no_permissions(self):\n\n login(self.client)\n\n client = create_client('test')\n client.write_access = False\n client.save()\n response = self.client.post('/backend/u/conc/', {'client': 'test', 'id': 3})\n self.assertEqual(response.status_code, 200)\n self.assertEqual('Permission not granted', response.content.decode('utf-8'))","def test_delete_useruser_uuid_post(self):\n pass","def test_taskrun_delete(self):\r\n admin = UserFactory.create()\r\n owner = UserFactory.create()\r\n non_owner = UserFactory.create()\r\n app = AppFactory.create(owner=owner)\r\n task = TaskFactory.create(app=app)\r\n anonymous_taskrun = AnonymousTaskRunFactory.create(task=task, info='my task result')\r\n user_taskrun = TaskRunFactory.create(task=task, user=owner, info='my task result')\r\n\r\n ## anonymous\r\n res = self.app.delete('/api/taskrun/%s' % user_taskrun.id)\r\n error_msg = 'Anonymous should not be allowed to delete'\r\n assert_equal(res.status, '401 UNAUTHORIZED', error_msg)\r\n\r\n ### real user but not allowed to delete anonymous TaskRuns\r\n url = '/api/taskrun/%s?api_key=%s' % (anonymous_taskrun.id, owner.api_key)\r\n res = self.app.delete(url)\r\n error_msg = 'Authenticated user should not be allowed ' \\\r\n 'to delete anonymous TaskRuns'\r\n assert_equal(res.status, '403 FORBIDDEN', error_msg)\r\n\r\n ### real user but not allowed as not owner!\r\n url = '/api/taskrun/%s?api_key=%s' % (user_taskrun.id, non_owner.api_key)\r\n res = self.app.delete(url)\r\n error_msg = 'Should not be able to delete TaskRuns of others'\r\n assert_equal(res.status, '403 FORBIDDEN', error_msg)\r\n\r\n #### real user\r\n # DELETE with not allowed args\r\n url = '/api/taskrun/%s?api_key=%s' % (user_taskrun.id, owner.api_key)\r\n res = self.app.delete(url + \"&foo=bar\")\r\n err = json.loads(res.data)\r\n assert res.status_code == 415, err\r\n assert err['status'] == 'failed', err\r\n assert err['target'] == 'taskrun', err\r\n assert err['action'] == 'DELETE', err\r\n assert err['exception_cls'] == 'AttributeError', err\r\n\r\n # Owner with valid args can delete\r\n res = self.app.delete(url)\r\n assert_equal(res.status, '204 NO CONTENT', res.data)\r\n\r\n ### root\r\n url = '/api/taskrun/%s?api_key=%s' % (anonymous_taskrun.id, admin.api_key)\r\n res = self.app.delete(url)\r\n error_msg = 'Admin should be able to delete TaskRuns of others'\r\n assert_equal(res.status, '204 NO CONTENT', error_msg)","def test_delete_user_by_id_admin(client: FlaskClient, db_session) -> None:\n username = create_random_username()\n admin_username = create_random_username()\n populate_database_with_users(db_session, username)\n auth_token = create_auth_token(admin_username, admin=True)\n response = delete_user(client, username, auth_token.signed)\n assert response.status_code == HTTPStatus.NO_CONTENT\n assert response.content_length is None\n assert GifSyncUser.get_by_username(username) is None","def test_delete_shelf_unauthorized(self, *_):\n with patch(\"bookwyrm.suggested_users.rerank_suggestions_task.delay\"), patch(\n \"bookwyrm.activitystreams.populate_stream_task.delay\"\n ):\n rat = models.User.objects.create_user(\n \"rat@local.com\",\n \"rat@mouse.mouse\",\n \"password\",\n local=True,\n localname=\"rat\",\n )\n request = self.factory.post(\"\")\n request.user = rat\n\n with self.assertRaises(PermissionDenied):\n views.delete_shelf(request, self.shelf.id)\n\n self.assertTrue(models.Shelf.objects.filter(id=self.shelf.id).exists())","def test_invalid_user_can_delete_a_comment(self):\n token = self.create_user(VALID_USER_DATA)\n response = self.create_article(VALID_ARTICLE, token)\n response = self.create_comment(\n token=token,\n parentId=0,\n slug=response.data['article']['slug']\n )\n token = self.create_user(VALID_USER_DATA_2)\n get_comment_url = reverse('crud-comment', kwargs={\n 'id': response.data['comment']['id']\n })\n response = self.client.delete(\n get_comment_url,\n HTTP_AUTHORIZATION=token\n )\n self.assertEqual(\n response.status_code,\n status.HTTP_403_FORBIDDEN\n )","def test_delete_request_by_non_owner(self):\n client = APIClient()\n client.credentials(HTTP_AUTHORIZATION=self.test_user2_token)\n response = client.post('/api/places/', self.restaurant_data, format='json')\n url = f\"/api/places/{response.data['id']}/\"\n\n client.credentials(HTTP_AUTHORIZATION=self.test_user1_token)\n response = client.delete(url, format='json')\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)","def test_delete_post_by_another_user(self):\n url = reverse(\n 'post-detail',\n args=[\n self.topic1.url_name,\n self.post1.id\n ]\n )\n self.client.credentials(\n HTTP_AUTHORIZATION = 'Token ' + self.user2.auth_token.key\n )\n response = self.client.delete(url)\n\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)\n deleted_post = Post.objects.filter(\n id=self.post1.id,\n )\n self.assertTrue(deleted_post.exists())","def test_delete_restaurant_forbidden(self):\n from espresso import db\n from espresso import Restaurant\n\n name = 'Restaurant Pandemic Plaza'\n db.session.add(Restaurant(name=name, creator='test-user@gmail.com'))\n db.session.commit()\n\n # Since this is a freshly created table, the first id should be 1\n resp = self.test_client.delete(self.API_BASE + '/1', headers=auth_header_cru_restaurants)\n self.assertEqual(resp.status_code, 403)"],"string":"[\n \"def test_delete_permission(self):\\r\\n self.assertFalse(self.creator_admin.has_delete_permission(self.request))\",\n \"def test_delete_user(self):\\n pass\",\n \"def test_delete_user(self):\\n pass\",\n \"def testDeleteIsAllowed(self):\\n UserAPI().create([(u'user', u'secret', u'User', u'user@example.com')])\\n namespaces = SecureNamespaceAPI(self.system.users['fluiddb'])\\n namespaces.delete([u'user/private'])\\n self.users.delete([u'user'])\\n self.assertIdentical(None, getUser(u'user'))\",\n \"def test_cannot_delete_usage(self):\\n p = Permission.objects.get(name='Can delete usage')\\n self.user.user_permissions.add(p)\\n self.client.login(username='testuser', password='q2w3E$R%')\\n response = self.client.delete(reverse('api_v1:usage-detail', kwargs={'pk': 1}),\\n follow=True)\\n self.assertEqual(response.status_code, 405)\\n self.assertIn('not allowed', str(response.content))\",\n \"def can_delete(self, user):\\n raise Return(False)\",\n \"def test_user_id_delete(self):\\n pass\",\n \"def testDeleteAccessDenied(self):\\n self.assertEqual(SequencingMachine.objects.count(), 1)\\n self.runDelete(None, sequencer=self.hiseq2000.sodar_uuid)\\n self.assertEqual(SequencingMachine.objects.count(), 1)\\n self.response_401()\\n for user in (self.guest, self.norole, self.unrelated_owner):\\n self.assertEqual(SequencingMachine.objects.count(), 1)\\n self.runDelete(user, sequencer=self.hiseq2000.sodar_uuid)\\n self.assertEqual(SequencingMachine.objects.count(), 1)\\n self.response_403()\",\n \"def testDeleteUserIsDenied(self):\\n [(objectID, username)] = UserAPI().create(\\n [(u'user', u'secret', u'User', u'user@example.com')])\\n self.store.commit()\\n with login(u'user', objectID, self.transact) as session:\\n deferred = self.facade.deleteUser(session, u'doomed')\\n error = yield self.assertFailure(deferred, TPathPermissionDenied)\\n self.assertEqual(u'doomed', error.path)\",\n \"def test_delete(self):\\n user = self.custodian_1_user\\n urls = [reverse('api:user-detail', kwargs={'pk': user.pk})]\\n data = None\\n access = {\\n \\\"forbidden\\\": [self.anonymous_client, self.readonly_client, self.custodian_1_client, self.admin_client,\\n self.custodian_2_client],\\n \\\"allowed\\\": []\\n }\\n\\n for client in access['forbidden']:\\n for url in urls:\\n self.assertIn(\\n client.delete(url, data, format='json').status_code,\\n [status.HTTP_401_UNAUTHORIZED, status.HTTP_403_FORBIDDEN]\\n )\\n\\n for client in access['allowed']:\\n for url in urls:\\n self.assertEqual(\\n client.delete(url, data, format='json').status_code,\\n status.HTTP_200_OK\\n )\",\n \"def testDeleteIsDenied(self):\\n error = self.assertRaises(PermissionDeniedError, self.users.delete,\\n [u'user'])\\n self.assertEqual(self.user.username, error.username)\\n self.assertEqual([(u'user', Operation.DELETE_USER)],\\n error.pathsAndOperations)\",\n \"def testDeleteIsDenied(self):\\n error = self.assertRaises(PermissionDeniedError, self.users.delete,\\n [u'user'])\\n self.assertEqual(self.user.username, error.username)\\n self.assertEqual([(u'user', Operation.DELETE_USER)],\\n error.pathsAndOperations)\",\n \"def test_delete_fail(self):\\n self.user_api()\\n self.base.metadata.create_all(self.engine)\\n people = self.provision_users()\\n p = {'id': people[2].id}\\n self.delete('user', 403, params=p)\",\n \"def test_delete_non_owner(self):\\n another_user = CustomUser.objects.create(id=134, email='another_user2@mail.com', is_active=True)\\n another_user.set_password('qwerty12345')\\n another_user.save()\\n\\n self.client.login(email='another_user2@mail.com', password='qwerty12345')\\n\\n url = reverse('notification',\\n kwargs={'way_id': self.notification.way_id, 'notification_id': 87876})\\n\\n response = self.client.delete(url)\\n\\n self.assertEqual(response.status_code, 403)\",\n \"def test_delete_device_user(self):\\n pass\",\n \"def test_delete_post_by_user(self):\\n\\n response = self.client.delete(reverse('api:posts-detail', kwargs={'pk': self.post1.id}))\\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)\",\n \"def test_delete_author_unlogged(self):\\n request = self.client.delete(self.epoint)\\n self.assertEqual(request.status_code, status.HTTP_403_FORBIDDEN)\",\n \"def test_jenkins_user_delete(self):\\n ju = JenkinsUser.objects.get(username=\\\"user_1\\\")\\n self.assertRaises(django.db.models.deletion.ProtectedError, ju.delete)\",\n \"def test_not_logged_cannot_delete(self):\\n\\n utils.test_not_logged_cannot_access(self, self.url)\",\n \"def test_admin_cannot_delete_non_existant_user(self):\\n resp = self.admin_create_user()\\n reply = self.admin_login()\\n token = reply['token']\\n \\n resp = self.client.delete(\\n '/api/v1/users/5',\\n content_type='application/json',\\n headers={'Authorization': 'Bearer {}'.format(token)}\\n )\\n reply = json.loads(resp.data.decode())\\n self.assertEqual(reply['message'], \\\"This attendant does not exist!\\\")\\n self.assertEqual(resp.status_code, 404)\",\n \"def test_delete__forbidden(self):\\n testing_config.sign_in('one@example.com', 123567890)\\n\\n with test_app.test_request_context(self.request_path):\\n with self.assertRaises(werkzeug.exceptions.Forbidden):\\n self.handler.do_delete(account_id=self.appuser_id)\\n\\n unrevised_appuser = user_models.AppUser.get_by_id(self.appuser_id)\\n self.assertEqual('user@example.com', unrevised_appuser.email)\",\n \"def testDeleteAccessAllowed(self):\\n for user in (self.contributor, self.delegate, self.owner, self.root):\\n SequencingMachine.objects.all().delete()\\n machine = self.make_machine()\\n self.assertEqual(SequencingMachine.objects.count(), 1)\\n response = self.runDelete(user, sequencer=machine.sodar_uuid)\\n self.response_204(response)\\n self.assertEqual(SequencingMachine.objects.count(), 0)\",\n \"def test_delete_users_non_admin(client: FlaskClient) -> None:\\n username = create_random_username()\\n # Non-admin users are not allowed to make the request\\n auth_token = create_auth_token(username)\\n response = delete_users(client, auth_token.signed)\\n assert_error_response(response, HTTPStatus.FORBIDDEN)\",\n \"def test_delete_user_field(self):\\n pass\",\n \"def test_handle_delete_not_admin(self):\\n team = Team(\\\"BRS\\\", \\\"brs\\\", \\\"web\\\")\\n test_user = User(\\\"userid\\\")\\n self.db.retrieve.return_value = test_user\\n self.db.query.return_value = [team]\\n self.assertTupleEqual(self.testcommand.handle(\\\"team delete brs\\\", user),\\n (self.testcommand.permission_error, 200))\\n self.db.delete.assert_not_called()\\n self.gh.org_delete_team.assert_not_called()\",\n \"def test_not_creator_cannot_delete(self):\\n\\n logged_user = utils.create_user_and_authenticate(self)\\n self.group.users.add(logged_user)\\n expected_url = reverse('my_groups_view')\\n\\n utils.test_cannot_access(self, self.url, expected_url)\\n self.assertEqual(len(Group.objects.all()), 1)\",\n \"def test_groups_group_users_user_delete(self):\\n pass\",\n \"def test_groups_group_users_user_delete(self):\\n pass\",\n \"def delete_user():\",\n \"def test_no_perm_thread_delete(self):\\n self.context['request'].user = User.objects.get(pk=118533)\\n allowed = has_perm(self.context, 'forums_forum.thread_delete_forum',\\n self.forum_1)\\n eq_(allowed, False)\\n allowed = has_perm(self.context, 'forums_forum.thread_delete_forum',\\n self.forum_2)\\n eq_(allowed, False)\",\n \"def test_delete(self, client, users):\\n user = users[0]\\n url = reverse('users:delete', args=(user.pk,))\\n response = client.get(url)\\n assert response.status_code == 405\\n response = client.post(url)\\n assert response.status_code == 302\\n assert response.url == reverse('users:list')\\n assert not get_user_model().objects.filter(pk=user.pk).exists()\",\n \"def test_users_username_delete(self):\\n pass\",\n \"def test_creator_in_group_can_delete(self):\\n\\n self.client.login(username='notlogged', password='notlogged')\\n expected_url = reverse('my_groups_view')\\n\\n utils.test_can_access(self, self.url,\\n post_redirect_url=expected_url)\\n self.assertEqual(len(Group.objects.all()), 0)\",\n \"def test_delete_collection_user(self):\\n pass\",\n \"def test_delete(self):\\n pass\",\n \"def test_admin_can_delete_a_user(self):\\n resp = self.admin_create_user()\\n reply = self.admin_login()\\n token = reply['token']\\n \\n resp = self.client.delete(\\n '/api/v1/users/2',\\n content_type='application/json',\\n headers={'Authorization': 'Bearer {}'.format(token)}\\n )\\n reply = json.loads(resp.data.decode())\\n self.assertEqual(reply['message'], \\\"User deleted!\\\")\\n self.assertEqual(resp.status_code, 200)\",\n \"def test_has_perm_thread_delete(self):\\n self.context['request'].user = User.objects.get(pk=47963)\\n allowed = has_perm(self.context, 'forums_forum.thread_delete_forum',\\n self.forum_1)\\n eq_(allowed, True)\\n allowed = has_perm(self.context, 'forums_forum.thread_delete_forum',\\n self.forum_2)\\n eq_(allowed, False)\",\n \"def test_security_on_delete(self):\\n # test the delete product url\\n product = Product.objects.all()[0]\\n url = '/product/xml/%s/' % product.item_number\\n response = self.client.delete(url)\\n self.failUnlessEqual(response.status_code, 401)\",\n \"def test_post_delete_logged_in(self):\\n url = reverse('post-detail', kwargs={'pk': self.post.id})\\n self.client.force_authenticate(user=self.user)\\n response = self.client.delete(url)\\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)\",\n \"def test_remove_user(self):\\n pass\",\n \"def test_none_admin_delete(self):\\n\\n with self.client:\\n token = self.customer()\\n id = 1\\n response = self.client.delete('api/v1/meals/{}'.format(id),\\n headers=({\\\"token\\\": token}))\\n data = json.loads(response.data.decode())\\n self.assertEqual(data.get('message'),\\n \\\"Customer is not authorized to access this page\\\")\\n self.assertEqual(response.status_code, 401)\",\n \"def test_delete_user(self):\\n\\n with self.client:\\n result = self.client.post('/users/cool-guy-johnny-B/delete',\\n follow_redirects=True)\\n self.assertEqual(result.status_code, 200)\\n self.assertNotIn(b'cool-guy-johnny-B', result.data)\",\n \"def test_delete_role(self):\\n pass\",\n \"def can_delete(self):\\r\\n return True\",\n \"def test_delete_other_users_template_as_user_raises_access_control_error(\\n self,\\n ):\\n mock_request = create_mock_request(user=self.user1)\\n with self.assertRaises(AccessControlError):\\n template_api.delete(\\n self.fixture.user2_template, request=mock_request\\n )\",\n \"def test_delete_delegate_unauthorized(self):\\n new_user = self.make_user('new_user')\\n delegate_as = self.make_assignment(\\n self.project, new_user, self.role_delegate\\n )\\n self.assertEqual(RoleAssignment.objects.count(), 4)\\n url = reverse(\\n 'projectroles:api_role_destroy',\\n kwargs={'roleassignment': delegate_as.sodar_uuid},\\n )\\n # NOTE: Perform record as contributor user\\n token = self.get_token(self.assign_user)\\n response = self.request_knox(url, method='DELETE', token=token)\\n self.assertEqual(response.status_code, 403, msg=response.content)\\n self.assertEqual(RoleAssignment.objects.count(), 4)\",\n \"def test_delete_o_auth_client_authorization(self):\\n pass\",\n \"def delete_user():\\n #TODO user delete\\n pass\",\n \"def test_has_perm_post_delete(self):\\n self.context['request'].user = User.objects.get(pk=47963)\\n allowed = has_perm(self.context, 'forums_forum.post_delete_forum',\\n self.forum_1)\\n eq_(allowed, True)\\n allowed = has_perm(self.context, 'forums_forum.post_delete_forum',\\n self.forum_2)\\n eq_(allowed, False)\",\n \"def test_post_delete_unauthorized(self):\\n url = reverse('post-detail', kwargs={'pk': self.post.id})\\n response = self.client.delete(url)\\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)\",\n \"def test_admin_delete_user_taskrun(self):\\r\\n\\r\\n with self.flask_app.test_request_context('/'):\\r\\n user_taskrun = TaskRunFactory.create()\\r\\n\\r\\n assert self.mock_admin.id != user_taskrun.user.id\\r\\n assert_not_raises(Exception,\\r\\n getattr(require, 'taskrun').delete,\\r\\n user_taskrun)\",\n \"def test_080_user_delete(self):\\n\\n testflow.step(RMV_USR_MSG, TEST_GROUP_DELETE)\\n assert USER_CLI.run('delete', TEST_USER_DELETE)[0]\",\n \"def on_model_delete(self, model):\\n if not current_user.is_active or not current_user.is_authenticated:\\n abort(403)\\n if not user_has_permission(current_user, 'can_delete','admins'):\\n abort(403)\",\n \"def test_fail_delete_detail_user(sample_user):\\n\\n client = auth_client(APIClient(), sample_user.email, \\\"testpassword\\\")\\n\\n response = client.delete(reverse(\\\"user-detail\\\"), format=\\\"json\\\")\\n assert response.status_code == status.HTTP_405_METHOD_NOT_ALLOWED\",\n \"def test_delete_admin_from_org(self):\\n pass\",\n \"def test_not_owner(self):\\n creating_user = create_user()\\n creating_user.save()\\n festival = create_festival('test', creating_user)\\n festival.save()\\n\\n concert = create_concert(festival, 'test')\\n concert.save()\\n\\n login(self.client)\\n\\n client = create_client('test')\\n client.delete_access = True\\n client.save()\\n\\n response = self.client.post('/backend/u/conc/', {'client': 'test', 'id': concert.pk})\\n self.assertEqual(response.status_code, 200)\\n self.assertEqual('Permission not granted', response.content.decode('utf-8'))\",\n \"def test_permission_remove_action_for_all_users(self):\\n test_name = sys._getframe().f_code.co_name\\n self._execute('permission add anonymous TICKET_CREATE')\\n self._execute('permission remove * TICKET_CREATE')\\n rv, output = self._execute('permission list')\\n self.assertEqual(0, rv)\\n self.assertEqual(self.expected_results[test_name], output)\",\n \"def test_requester_is_no_admin(self) -> None:\\n\\n channel = self.make_request(\\n \\\"DELETE\\\",\\n self.url,\\n access_token=self.other_user_tok,\\n )\\n\\n self.assertEqual(403, channel.code, msg=channel.json_body)\\n self.assertEqual(Codes.FORBIDDEN, channel.json_body[\\\"errcode\\\"])\",\n \"def test_delete_author_logged(self):\\n self.client.force_authenticate(user=self.user)\\n\\n request = self.client.delete(self.epoint)\\n self.assertEqual(request.status_code, status.HTTP_204_NO_CONTENT)\",\n \"def test_successfult_post_deletion(self):\\n self.user.is_moderator = True\\n self.user.save()\\n response = self.client.delete(reverse('api:posts-detail', kwargs={'pk': self.post1.id}))\\n self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)\\n self.assertEqual(Post.objects.count(), 1)\",\n \"def test_authenticated_user_delete(self):\\r\\n with self.flask_app.test_request_context('/'):\\r\\n for token in self.auth_providers:\\r\\n assert_raises(Forbidden,\\r\\n getattr(require, 'token').delete,\\r\\n token)\",\n \"def test_delete_run(self):\\n pass\",\n \"def delete_user():\\r\\n raise NotImplementedError()\",\n \"def test_anonymous_user_delete_user_taskrun(self):\\r\\n\\r\\n with self.flask_app.test_request_context('/'):\\r\\n user_taskrun = TaskRunFactory.create()\\r\\n\\r\\n assert_raises(Unauthorized,\\r\\n getattr(require, 'taskrun').delete,\\r\\n user_taskrun)\",\n \"def test_delete__forbidden(self):\\n testing_config.sign_in('one@example.com', 123567890)\\n\\n with register.app.test_request_context(self.request_path):\\n with self.assertRaises(werkzeug.exceptions.Forbidden):\\n self.handler.do_delete(self.feature_id)\\n\\n revised_feature = models.Feature.get_by_id(self.feature_id)\\n self.assertFalse(revised_feature.deleted)\",\n \"def test_user_delete_GET(self):\\r\\n\\r\\n with self.client:\\r\\n u = User.query.first()\\r\\n response = self.client.get(\\r\\n f'/users/${u.username}/delete', follow_redirects=True)\\r\\n self.assertIn(b'Unauthorized.', response.data)\",\n \"def test_products_ref_users_user_delete(self):\\n pass\",\n \"def test_delete_global_template_as_user_raises_access_control_error(self):\\n mock_request = create_mock_request(user=self.user1)\\n with self.assertRaises(AccessControlError):\\n template_api.delete(\\n self.fixture.global_template, request=mock_request\\n )\",\n \"def test_delete_other_users_template_as_staff_raises_access_control_error(\\n self,\\n ):\\n mock_request = create_mock_request(user=self.staff_user1)\\n with self.assertRaises(AccessControlError):\\n template_api.delete(\\n self.fixture.user2_template, request=mock_request\\n )\",\n \"def test_delete_user_template_as_anonymous_with_access_right_raises_access_control_error(\\n self,\\n ):\\n mock_request = create_mock_request(user=self.anonymous_user)\\n with self.assertRaises(AccessControlError):\\n template_api.delete(\\n self.fixture.user1_template, request=mock_request\\n )\",\n \"def test_delete(self):\\n\\n url = reverse('file')\\n\\n data = {}\\n\\n self.client.force_authenticate(user=self.test_user_obj)\\n response = self.client.delete(url, data)\\n\\n self.assertEqual(response.status_code, status.HTTP_405_METHOD_NOT_ALLOWED)\",\n \"def test_delete_assigned_resource_by_non_admin(self):\\n CommonTestCases.user_token_assert_in(\\n self,\\n delete_assigned_resource_mutation,\\n \\\"You are not authorized to perform this action\\\"\\n )\",\n \"def test_remove_facility_pt3(self):\\n self.assertFalse(self.learner1.has_perm('auth.remove_facility'))\",\n \"def test_delete_device_users(self):\\n pass\",\n \"def test_duo_account_delete(self):\\n pass\",\n \"def test_remove_facility_pt1(self):\\n self.assertFalse(self.admin.has_perm('auth.remove_facility'))\",\n \"def test_delete_user_by_id_non_admin(client: FlaskClient, db_session) -> None:\\n username = create_random_username()\\n populate_database_with_users(db_session, username)\\n auth_token = create_auth_token(username)\\n response = delete_user(client, username, auth_token.signed)\\n assert response.status_code == HTTPStatus.NO_CONTENT\\n assert response.content_length is None\\n assert GifSyncUser.get_by_username(username) is None\",\n \"def test_delete__valid(self):\\n testing_config.sign_in('admin@example.com', 123567890)\\n\\n with test_app.test_request_context(self.request_path):\\n actual_json = self.handler.do_delete(account_id=self.appuser_id)\\n self.assertEqual({'message': 'Done'}, actual_json)\\n\\n revised_appuser = user_models.AppUser.get_by_id(self.appuser_id)\\n self.assertIsNone(revised_appuser)\",\n \"def test_del_user(self, api):\\n self.builder.add_user(api.get_user())\\n resp = api.del_user(api.get_user())\\n assert resp.status_code == 204\\n with pytest.raises(ObjectDeletedError):\\n assert self.builder.check_user(api.get_user()) is False\",\n \"def test_cannot_delete_user_with_blacklisted_token(self):\\n resp = self.admin_create_user()\\n reply = self.admin_login()\\n token = reply['token']\\n\\n resp = self.client.delete(\\n '/api/v1/logout',\\n headers={'Authorization': 'Bearer {}'.format(token)}\\n )\\n reply = json.loads(resp.data.decode())\\n self.assertEqual(reply['message'], 'You are successfully logged out!')\\n self.assertEqual(resp.status_code, 200)\\n\\n resp = self.client.delete(\\n '/api/v1/users/2',\\n content_type='application/json',\\n headers={'Authorization': 'Bearer {}'.format(token)}\\n )\\n reply = json.loads(resp.data.decode())\\n self.assertEqual(reply['message'], 'Invalid Authentication, Please Login!')\\n self.assertEqual(resp.status_code, 401)\",\n \"def test_remove_facility_pt4(self):\\n with self.assertRaises(InvalidPermission):\\n self.assertFalse(self.learner1.has_perm('auth.remove_facility', obj=[]))\",\n \"def test_authenticated_user_delete_other_users_taskrun(self):\\r\\n\\r\\n with self.flask_app.test_request_context('/'):\\r\\n own_taskrun = TaskRunFactory.create()\\r\\n other_users_taskrun = TaskRunFactory.create()\\r\\n\\r\\n assert self.mock_authenticated.id == own_taskrun.user.id\\r\\n assert self.mock_authenticated.id != other_users_taskrun.user.id\\r\\n assert_not_raises(Exception,\\r\\n getattr(require, 'taskrun').delete,\\r\\n own_taskrun)\\r\\n assert_raises(Forbidden,\\r\\n getattr(require, 'taskrun').delete,\\r\\n other_users_taskrun)\",\n \"def test_delete(self):\\n self.client.force_authenticate(user=self.admin)\\n\\n response = self.client.delete(\\n reverse(\\n 'retreat:waitqueuenotification-detail',\\n kwargs={'pk': 1},\\n ),\\n )\\n\\n self.assertEqual(\\n response.status_code,\\n status.HTTP_405_METHOD_NOT_ALLOWED\\n )\",\n \"def test_user_group_controller_delete(self):\\n pass\",\n \"def on_model_delete(self, model):\\n if not current_user.is_active or not current_user.is_authenticated:\\n abort(403)\\n if not user_has_permission(current_user, 'can_delete','roles'):\\n abort(403)\",\n \"def test_handle_delete_as_admin(self):\\r\\n def facade_retrieve_side_effect(*args, **kwargs):\\r\\n \\\"\\\"\\\"Return a side effect for the mock facade.\\\"\\\"\\\"\\r\\n if args[0] == Project:\\r\\n return Project(\\\"\\\", [])\\r\\n elif args[0] == Team:\\r\\n team = Team(\\\"GTID\\\", \\\"team-name\\\", \\\"display-name\\\")\\r\\n return team\\r\\n else:\\r\\n calling_user = User(user)\\r\\n calling_user.permissions_level = Permissions.admin\\r\\n return calling_user\\r\\n self.mock_facade.retrieve.side_effect = facade_retrieve_side_effect\\r\\n self.assertTupleEqual(\\r\\n self.testcommand.handle(\\\"project delete ID\\\",\\r\\n user),\\r\\n (\\\"Project successfully deleted!\\\", 200))\",\n \"def test_delete_user(self) :\\n self.new_credential.save_credential()\\n test_credential = Credential(\\\"peter\\\", \\\"Peter\\\", \\\"Peter003\\\") # new user\\n test_credential.save_credential()\\n self.assertEqual(len(Credential.credential_list),2)\",\n \"def test_delete_not_my_product(self):\\n self._require_login(self.user1)\\n response = self.client.delete('/api/1.0/products/2/')\\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)\",\n \"def canDelete(id, userId):\\n db = core.connect()\\n theShift = db[id]\\n return user.isAdmin(userId) or (userId == theShift['createdBy'])\",\n \"def test_user_is_really_deleted():\\n response = api_helper.get_user(user_id=pytest.test_user.id)\\n assert response.status_code == 200\\n assert len(response.json()['data']) == 0\",\n \"def test_IDeleteCapability(self):\\n self.assertFalse(self.ldap.allowDeletePrincipal(\\\"uid0\\\"))\\n self.assertFalse(self.ldap.allowDeletePrincipal(\\\"unknownuser\\\"))\",\n \"def test_delete(self):\\n self.assertFalse(self.user1.ad_deleted)\\n self.assertTrue(self.user1.active)\\n url = '/api/users/{}/'.format(self.user1.ad_guid)\\n data = {'Deleted': True}\\n response = self.client.put(url, json.dumps(data), content_type='application/json')\\n self.assertEqual(response.status_code, 202)\\n user = DepartmentUser.objects.get(pk=self.user1.pk) # Refresh from db\\n self.assertTrue(user.ad_deleted)\\n self.assertFalse(user.active)\\n self.assertTrue(user.in_sync)\\n # Also delete a second object, to check for silly 'empty string' collisions.\\n url = '/api/users/{}/'.format(self.user2.ad_guid)\\n response = self.client.put(url, json.dumps(data), content_type='application/json')\\n self.assertEqual(response.status_code, 202)\",\n \"def test_no_permissions(self):\\n\\n login(self.client)\\n\\n client = create_client('test')\\n client.write_access = False\\n client.save()\\n response = self.client.post('/backend/u/conc/', {'client': 'test', 'id': 3})\\n self.assertEqual(response.status_code, 200)\\n self.assertEqual('Permission not granted', response.content.decode('utf-8'))\",\n \"def test_delete_useruser_uuid_post(self):\\n pass\",\n \"def test_taskrun_delete(self):\\r\\n admin = UserFactory.create()\\r\\n owner = UserFactory.create()\\r\\n non_owner = UserFactory.create()\\r\\n app = AppFactory.create(owner=owner)\\r\\n task = TaskFactory.create(app=app)\\r\\n anonymous_taskrun = AnonymousTaskRunFactory.create(task=task, info='my task result')\\r\\n user_taskrun = TaskRunFactory.create(task=task, user=owner, info='my task result')\\r\\n\\r\\n ## anonymous\\r\\n res = self.app.delete('/api/taskrun/%s' % user_taskrun.id)\\r\\n error_msg = 'Anonymous should not be allowed to delete'\\r\\n assert_equal(res.status, '401 UNAUTHORIZED', error_msg)\\r\\n\\r\\n ### real user but not allowed to delete anonymous TaskRuns\\r\\n url = '/api/taskrun/%s?api_key=%s' % (anonymous_taskrun.id, owner.api_key)\\r\\n res = self.app.delete(url)\\r\\n error_msg = 'Authenticated user should not be allowed ' \\\\\\r\\n 'to delete anonymous TaskRuns'\\r\\n assert_equal(res.status, '403 FORBIDDEN', error_msg)\\r\\n\\r\\n ### real user but not allowed as not owner!\\r\\n url = '/api/taskrun/%s?api_key=%s' % (user_taskrun.id, non_owner.api_key)\\r\\n res = self.app.delete(url)\\r\\n error_msg = 'Should not be able to delete TaskRuns of others'\\r\\n assert_equal(res.status, '403 FORBIDDEN', error_msg)\\r\\n\\r\\n #### real user\\r\\n # DELETE with not allowed args\\r\\n url = '/api/taskrun/%s?api_key=%s' % (user_taskrun.id, owner.api_key)\\r\\n res = self.app.delete(url + \\\"&foo=bar\\\")\\r\\n err = json.loads(res.data)\\r\\n assert res.status_code == 415, err\\r\\n assert err['status'] == 'failed', err\\r\\n assert err['target'] == 'taskrun', err\\r\\n assert err['action'] == 'DELETE', err\\r\\n assert err['exception_cls'] == 'AttributeError', err\\r\\n\\r\\n # Owner with valid args can delete\\r\\n res = self.app.delete(url)\\r\\n assert_equal(res.status, '204 NO CONTENT', res.data)\\r\\n\\r\\n ### root\\r\\n url = '/api/taskrun/%s?api_key=%s' % (anonymous_taskrun.id, admin.api_key)\\r\\n res = self.app.delete(url)\\r\\n error_msg = 'Admin should be able to delete TaskRuns of others'\\r\\n assert_equal(res.status, '204 NO CONTENT', error_msg)\",\n \"def test_delete_user_by_id_admin(client: FlaskClient, db_session) -> None:\\n username = create_random_username()\\n admin_username = create_random_username()\\n populate_database_with_users(db_session, username)\\n auth_token = create_auth_token(admin_username, admin=True)\\n response = delete_user(client, username, auth_token.signed)\\n assert response.status_code == HTTPStatus.NO_CONTENT\\n assert response.content_length is None\\n assert GifSyncUser.get_by_username(username) is None\",\n \"def test_delete_shelf_unauthorized(self, *_):\\n with patch(\\\"bookwyrm.suggested_users.rerank_suggestions_task.delay\\\"), patch(\\n \\\"bookwyrm.activitystreams.populate_stream_task.delay\\\"\\n ):\\n rat = models.User.objects.create_user(\\n \\\"rat@local.com\\\",\\n \\\"rat@mouse.mouse\\\",\\n \\\"password\\\",\\n local=True,\\n localname=\\\"rat\\\",\\n )\\n request = self.factory.post(\\\"\\\")\\n request.user = rat\\n\\n with self.assertRaises(PermissionDenied):\\n views.delete_shelf(request, self.shelf.id)\\n\\n self.assertTrue(models.Shelf.objects.filter(id=self.shelf.id).exists())\",\n \"def test_invalid_user_can_delete_a_comment(self):\\n token = self.create_user(VALID_USER_DATA)\\n response = self.create_article(VALID_ARTICLE, token)\\n response = self.create_comment(\\n token=token,\\n parentId=0,\\n slug=response.data['article']['slug']\\n )\\n token = self.create_user(VALID_USER_DATA_2)\\n get_comment_url = reverse('crud-comment', kwargs={\\n 'id': response.data['comment']['id']\\n })\\n response = self.client.delete(\\n get_comment_url,\\n HTTP_AUTHORIZATION=token\\n )\\n self.assertEqual(\\n response.status_code,\\n status.HTTP_403_FORBIDDEN\\n )\",\n \"def test_delete_request_by_non_owner(self):\\n client = APIClient()\\n client.credentials(HTTP_AUTHORIZATION=self.test_user2_token)\\n response = client.post('/api/places/', self.restaurant_data, format='json')\\n url = f\\\"/api/places/{response.data['id']}/\\\"\\n\\n client.credentials(HTTP_AUTHORIZATION=self.test_user1_token)\\n response = client.delete(url, format='json')\\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)\",\n \"def test_delete_post_by_another_user(self):\\n url = reverse(\\n 'post-detail',\\n args=[\\n self.topic1.url_name,\\n self.post1.id\\n ]\\n )\\n self.client.credentials(\\n HTTP_AUTHORIZATION = 'Token ' + self.user2.auth_token.key\\n )\\n response = self.client.delete(url)\\n\\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)\\n deleted_post = Post.objects.filter(\\n id=self.post1.id,\\n )\\n self.assertTrue(deleted_post.exists())\",\n \"def test_delete_restaurant_forbidden(self):\\n from espresso import db\\n from espresso import Restaurant\\n\\n name = 'Restaurant Pandemic Plaza'\\n db.session.add(Restaurant(name=name, creator='test-user@gmail.com'))\\n db.session.commit()\\n\\n # Since this is a freshly created table, the first id should be 1\\n resp = self.test_client.delete(self.API_BASE + '/1', headers=auth_header_cru_restaurants)\\n self.assertEqual(resp.status_code, 403)\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.8438554","0.8078905","0.8078905","0.7888322","0.78348","0.78141594","0.7754141","0.77347636","0.7728823","0.7716653","0.7666044","0.7666044","0.765646","0.76123804","0.74949557","0.7486341","0.7471117","0.74592483","0.7451529","0.74371904","0.74333715","0.7424923","0.7413066","0.73839","0.73836374","0.73597246","0.7327046","0.7327046","0.7313828","0.73124385","0.7301193","0.7291381","0.72772497","0.7267562","0.72583723","0.7254304","0.725291","0.72498155","0.72327197","0.7212905","0.7209811","0.72081745","0.7201951","0.71788853","0.7169965","0.7169239","0.7167079","0.7164434","0.7158671","0.7149196","0.7141509","0.713527","0.71302056","0.7125694","0.7122335","0.71222395","0.71218866","0.7115442","0.70823276","0.70662606","0.70588404","0.7056265","0.7043339","0.70427054","0.7040327","0.70377403","0.702881","0.70231545","0.7017912","0.7013612","0.7006568","0.6998969","0.6997742","0.6990937","0.69904315","0.69902676","0.6989978","0.69846773","0.69821435","0.6981203","0.6976024","0.69729507","0.6970119","0.6969997","0.69695884","0.6968869","0.69679534","0.6965659","0.6962726","0.69604707","0.695938","0.69569993","0.6950609","0.69447833","0.6943881","0.69411314","0.69402874","0.69322866","0.6929475","0.69274616","0.6923431"],"string":"[\n \"0.8438554\",\n \"0.8078905\",\n \"0.8078905\",\n \"0.7888322\",\n \"0.78348\",\n \"0.78141594\",\n \"0.7754141\",\n \"0.77347636\",\n \"0.7728823\",\n \"0.7716653\",\n \"0.7666044\",\n \"0.7666044\",\n \"0.765646\",\n \"0.76123804\",\n \"0.74949557\",\n \"0.7486341\",\n \"0.7471117\",\n \"0.74592483\",\n \"0.7451529\",\n \"0.74371904\",\n \"0.74333715\",\n \"0.7424923\",\n \"0.7413066\",\n \"0.73839\",\n \"0.73836374\",\n \"0.73597246\",\n \"0.7327046\",\n \"0.7327046\",\n \"0.7313828\",\n \"0.73124385\",\n \"0.7301193\",\n \"0.7291381\",\n \"0.72772497\",\n \"0.7267562\",\n \"0.72583723\",\n \"0.7254304\",\n \"0.725291\",\n \"0.72498155\",\n \"0.72327197\",\n \"0.7212905\",\n \"0.7209811\",\n \"0.72081745\",\n \"0.7201951\",\n \"0.71788853\",\n \"0.7169965\",\n \"0.7169239\",\n \"0.7167079\",\n \"0.7164434\",\n \"0.7158671\",\n \"0.7149196\",\n \"0.7141509\",\n \"0.713527\",\n \"0.71302056\",\n \"0.7125694\",\n \"0.7122335\",\n \"0.71222395\",\n \"0.71218866\",\n \"0.7115442\",\n \"0.70823276\",\n \"0.70662606\",\n \"0.70588404\",\n \"0.7056265\",\n \"0.7043339\",\n \"0.70427054\",\n \"0.7040327\",\n \"0.70377403\",\n \"0.702881\",\n \"0.70231545\",\n \"0.7017912\",\n \"0.7013612\",\n \"0.7006568\",\n \"0.6998969\",\n \"0.6997742\",\n \"0.6990937\",\n \"0.69904315\",\n \"0.69902676\",\n \"0.6989978\",\n \"0.69846773\",\n \"0.69821435\",\n \"0.6981203\",\n \"0.6976024\",\n \"0.69729507\",\n \"0.6970119\",\n \"0.6969997\",\n \"0.69695884\",\n \"0.6968869\",\n \"0.69679534\",\n \"0.6965659\",\n \"0.6962726\",\n \"0.69604707\",\n \"0.695938\",\n \"0.69569993\",\n \"0.6950609\",\n \"0.69447833\",\n \"0.6943881\",\n \"0.69411314\",\n \"0.69402874\",\n \"0.69322866\",\n \"0.6929475\",\n \"0.69274616\",\n \"0.6923431\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":86781,"cells":{"query":{"kind":"string","value":"Test that the delete button appears on the index page"},"document":{"kind":"string","value":"def test_delete_button_appears_index(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertContains(response, self.url)"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def test_delete_custom_button(self):\n pass","def test_delete_button_appears_edit(self):\n response = self.client.get(reverse('wagtailnews:edit', kwargs={\n 'pk': self.index.pk, 'newsitem_pk': self.newsitem.pk}))\n self.assertContains(response, self.url)","def test_no_delete_button_appears_index(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertNotContains(response, self.url)","def test_commentary_view_delete(self):\n \n test_response = self.client.get('/papers/commentary/1/delete')\n self.assertEqual(test_response.status_code, 200)\n self.assertTrue('object' in test_response.context) \n self.assertTemplateUsed(test_response, 'base.html')\n self.assertTemplateUsed(test_response, 'confirm_delete.html')","def test_no_delete_button_appears_edit(self):\n response = self.client.get(reverse('wagtailnews:edit', kwargs={\n 'pk': self.index.pk, 'newsitem_pk': self.newsitem.pk}))\n self.assertNotContains(response, self.url)","def test_delete(admin_client):\n book = BookFactory()\n url = reverse(\"admin:books_book_delete\", args=(book.pk,))\n\n response = admin_client.get(url)\n templates_used = [t.name for t in response.templates]\n\n assert response.status_code == 200\n render_counts = {x: templates_used.count(x) for x in set(templates_used)}\n\n # The number of times each template was rendered\n assert render_counts == {\n \"admin/delete_confirmation.html\": 1,\n \"admin/base_site.html\": 1,\n \"admin/base.html\": 1,\n \"admin/includes/object_delete_summary.html\": 1,\n \"jazzmin/includes/ui_builder_panel.html\": 1,\n }\n\n # The templates that were used\n assert set(templates_used) == {\n \"admin/delete_confirmation.html\",\n \"admin/base_site.html\",\n \"admin/base.html\",\n \"admin/includes/object_delete_summary.html\",\n \"jazzmin/includes/ui_builder_panel.html\",\n }\n\n response = admin_client.post(url, data={\"post\": \"yes\"}, follow=True)\n\n # We deleted our object, and are now back on the changelist\n assert not Book.objects.all().exists()\n assert response.resolver_match.url_name == \"books_book_changelist\"","def test_delete(self):\n pass","def test_delete_post():\n\n driver = webdriver.Chrome()\n driver.get('https://cmput404group10.herokuapp.com')\n\n username = driver.find_element_by_id(\"username\")\n username.send_keys(\"ronWeasley\")\n\n password = driver.find_element_by_name(\"password\")\n password.send_keys(\"ualberta123\")\n\n driver.find_element_by_xpath('/html/body/div/div/div/div/div/div/div[2]/div/form/div[3]/button').click()\n\n driver.find_element_by_xpath('//*[@id=\"accordionSidebar\"]/li[2]/a').click()\n assert driver.page_source.__contains__(\"Selenium Test Content\")\n\n driver.find_element_by_link_text('Delete').click()\n\n driver.find_element_by_xpath('//*[@id=\"content\"]/div/form/input[2]').click()\n\n assert not driver.page_source.__contains__(\"Selenium Test Content\")","def test_edit_button_appears(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertContains(response, self.url)","def test_delete__DeleteForm__4(address_book, browser, role):\n browser.login(role)\n browser.assert_forbidden(browser.SEARCH_DELETE_URL)","def test_error_html_using_delete(self):\n pass","def test_post_delete_admin(self):\n url = reverse('post-detail', kwargs={'pk': self.post.id})\n self.client.force_authenticate(user=self.superuser)\n response = self.client.delete(url)\n self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)","def test_publication_view_delete(self):\n \n test_response = self.client.get('/papers/14-3-3-proteins-a-number-of-functions-for-a-numbered-protein/delete/')\n self.assertEqual(test_response.status_code, 200)\n self.assertTrue('publication' in test_response.context) \n self.assertTemplateUsed(test_response, 'confirm_delete.html')\n self.assertEqual(test_response.context['publication'].pk, 1)\n self.assertEqual(test_response.context['publication'].title, u'14-3-3 proteins: a number of functions for a numbered protein.')\n\n #verifies that a non-existent object returns a 404 error.\n null_response = self.client.get('/papers/not-a-real-paper/delete/')\n self.assertEqual(null_response.status_code, 404)","def test_add_button_appears(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertContains(response, self.url)","def test_delete1(self):\n pass","def delete():\n click.echo('delete was called.')","def test_no_edit_button_appears(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertNotContains(response, self.url)","def test_no_add_button_appears(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertNotContains(response, self.url)","def test_delete_view_without_next_redirects_to_group_page(self):\n self.client.login(username=\"John\", password=\"newpass1234\")\n response = self.client.post('/posts/1/delete/')\n self.assertIn(\"group\", response.url)","def test_delete_item_using_delete(self):\n pass","def test_delete_view(self):\n self.client.post(reverse('misago:admin:users:bans:new'), data={\n 'check_type': '0',\n 'banned_value': 'TestBan',\n })\n\n test_ban = Ban.objects.get(banned_value='testban')\n\n response = self.client.post(reverse('misago:admin:users:bans:delete', kwargs={\n 'pk': test_ban.pk\n }))\n self.assertEqual(response.status_code, 302)\n\n response = self.client.get(reverse('misago:admin:users:bans:index'))\n self.client.get(response['location'])\n response = self.client.get(response['location'])\n\n self.assertEqual(response.status_code, 200)\n self.assertNotContains(response, test_ban.banned_value)","def test_delete_view_redirect_anauth_users_to_login_page(self):\n response = self.client.get('/posts/1/delete/')\n self.assertEqual(response.status_code, 302)\n self.assertIn(\"login\", response.url)","def delete():\n return render_template('layout.html')","def test_delete__DeleteForm__2(search_data, browser):\n browser.login('mgr')\n browser.keyword_search('church', 'Delete')\n # Seleting the `cancel` button leads to the person list without deleting\n # anybody:\n browser.getControl('No, cancel').click()\n assert 'Deletion canceled.' == browser.message\n assert browser.PERSONS_LIST_URL == browser.url\n assert 'Koch' in browser.contents\n assert 'Liebig' in browser.contents\n assert 'Velleuer' in browser.contents","def test_delete_confirmation_template(self):\n self.login()\n\n # BlogIndex needs translated pages before child pages can be translated\n self.fr_blog_index = self.en_blog_index.copy_for_translation(self.fr_locale)\n # Create a copy of the en_blog_post object as a translated page\n self.fr_blog_post = self.en_blog_post.copy_for_translation(self.fr_locale)\n\n # Create an alias page to test the `translations_to_move_count`\n # in the template context\n new_page = CreatePageAliasAction(\n self.en_blog_post,\n recursive=False,\n parent=self.en_blog_index,\n update_slug=\"alias-page-slug\",\n user=None,\n )\n new_page.execute(skip_permission_checks=True)\n\n response = self.client.get(\n reverse(\n \"wagtailadmin_pages:delete\",\n args=(self.en_blog_post.id,),\n ),\n follow=True,\n )\n self.assertEqual(response.status_code, 200)\n self.assertEqual(response.context[\"translation_count\"], 1)\n self.assertEqual(response.context[\"translation_descendant_count\"], 0)\n self.assertIn(\n \"Deleting this page will also delete 1 translation of this page.\",\n response.content.decode(\"utf-8\"),\n )","def test_delete_run(self):\n pass","def test_delete_note(self):\n\n url = reverse(\n 'crm-admin:note-delete',\n kwargs={\n 'pk': self.object.id\n }\n )\n\n # Test that the page load first\n response = self.c.get(url)\n self.assertEqual(response.status_code, 200)\n\n # Action detail with POST call\n response = self.c.post(url)\n self.assertEqual(response.status_code, 302)\n\n # Test that the record has been deleted\n obj = Note.objects.filter(id=self.object.id)\n self.assertEqual(obj.count(), 0)","def test_delete(self):\n self.client.force_authenticate(user=self.admin)\n\n response = self.client.delete(\n reverse(\n 'retreat:waitqueuenotification-detail',\n kwargs={'pk': 1},\n ),\n )\n\n self.assertEqual(\n response.status_code,\n status.HTTP_405_METHOD_NOT_ALLOWED\n )","def test_plusrecors_delete(self):\n f = FlatPage.objects.create(title = 'f',\n url = '/minus/upload/plus/done/',\n content = 'flapi')\n self.go200('minus_plus_upload')\n self.formfile('minus_plus_upload', 'file', AUDIO_FILE)\n self.submit200()\n self.url('minus_plus_upload_done')\n self.find('flapi')\n self.go200('minus_plus_upload')\n self.formfile('minus_plus_upload', 'file', AUDIO_FILE)\n self.submit200()\n self.assert_equal(MinusPlusRecord.objects.count(), 2)\n self.go200('minus_upload')\n self.formfile('minus_upload', 'file', AUDIO_FILE)\n self.submit200()\n self.find('Плюс')\n m = MinusRecord.objects.all()[0]\n p = MinusPlusRecord.objects.all()[0]\n self.assert_equal(p.minus , m)\n self.assert_equal(MinusPlusRecord.objects.count(), 1)\n self.go200('plus_delete', [p.id])\n self.fv('object_delete','__confirm__', 1)\n self.submit200()\n self.assert_equal(MinusPlusRecord.objects.count(), 0)","def test_delete_permission(self):\r\n self.assertFalse(self.creator_admin.has_delete_permission(self.request))","def delete(request):\n return render(request, 'modify.html')","def test_delete__DeleteForm__1(search_data, UserFactory, browser):\n address_book = search_data\n # Create a user -- the person of a user cannot be deleted using this search\n # result handler.\n UserFactory(address_book, u'Ben', u'Utzer', u'ben@example.com',\n u'12345678', [], keywords=[u'church'])\n browser.login('mgr')\n browser.keyword_search('church')\n # Only the selected persons get deleted. Deselected persons will not:\n browser.getControl(name='persons:list').getControl(\n value=\"Person-2\").selected = False # This this the person named \"Koch\"\n browser.getControl('Apply on selected persons').displayValue = [\n 'Delete']\n browser.getControl(name='form.buttons.apply').click()\n # The number of persons for deletion is shown on the question screen:\n # (There are 3 persons with the church keyword in the fixture, one got\n # deselected but there is additionally a newly created user.\n assert ['3'] == browser.etree.xpath(\n '//span[@id=\"form-widgets-count\"]/text()')\n assert ('You are not able to delete a person who is referenced.'\n in browser.contents)\n assert browser.SEARCH_DELETE_URL == browser.url\n browser.getControl('Yes, delete').click()\n assert 'Selected persons deleted: 2' == browser.message\n assert browser.PERSONS_LIST_URL == browser.url\n # Only the two non-users got deleted:\n assert 'Koch' in browser.contents\n assert 'Utzer' in browser.contents\n assert 'Liebig' not in browser.contents\n assert 'Velleuer' not in browser.contents","def test_01_admin_index(self):\r\n self.register()\r\n res = self.app.get(\"/admin\", follow_redirects=True)\r\n dom = BeautifulSoup(res.data)\r\n err_msg = \"There should be an index page for admin users and apps\"\r\n assert \"Settings\" in res.data, err_msg\r\n divs = ['featured-apps', 'users', 'categories', 'users-list']\r\n for div in divs:\r\n err_msg = \"There should be a button for managing %s\" % div\r\n assert dom.find(id=div) is not None, err_msg","def test_get_delete_page(self):\n\n data = self.get_valid_data()\n notification = reminders.Notification.objects.create(**data)\n url = reverse('delete-notification', args=[notification.pk])\n response = self.client.get(url)\n self.assertEqual(response.status_code, 200)","def test_get_delete_page(self):\n\n data = self.get_valid_data()\n notification = reminders.Notification.objects.create(**data)\n url = reverse('delete-notification', args=[notification.pk])\n response = self.client.get(url)\n self.assertEqual(response.status_code, 200)","def test_deleted(self):\n event = Event.objects.all()[0]\n\n todo = TodoItem.objects.create(\n event=event, completed=False, title=\"Test TODO3\",\n due=datetime.date.today(), additional=\"\",\n )\n\n assert todo in event.todoitem_set.all()\n\n self.client.get(reverse('todo_delete', args=[todo.pk]))\n\n assert event.todoitem_set.all().count() == 0","def test_delete_but_no_view_permission(client):\n user = user_with_permissions(\"polls.delete_poll\")\n\n url = reverse(\"admin:index\")\n client.force_login(user)\n\n response = client.get(url)\n assert parse_sidemenu(response) == {\"Global\": [\"/en/admin/\"], \"Polls\": [None]}","def test_delete7(self):\n pass","def test_delete(self, client, users):\n user = users[0]\n url = reverse('users:delete', args=(user.pk,))\n response = client.get(url)\n assert response.status_code == 405\n response = client.post(url)\n assert response.status_code == 302\n assert response.url == reverse('users:list')\n assert not get_user_model().objects.filter(pk=user.pk).exists()","def test_admin_index(self):\n response = self.client.get('/admin/')\n self.assertEqual(response.status_code, 200)\n self.assertContains(response, \"Djrill\")","def test_event_view_delete(self):\n # delete event\n request = self.factory.post('/module/event/del/1/', follow=True)\n request.user = self.user\n request.session = {}\n response = event_del(request, 1)\n self.assertEqual(response.status_code, 302)\n\n request = self.factory.post('/module/event/del/', {'select': '1'})\n request.user = self.user\n request.session = {}\n response = event_del(request, 0)\n self.assertEqual(response.status_code, 302)","def collection_delete_confirm_btn(self):\n collection_delete_confirm_btn_sitem = self.locator_finder_by_xpath(self.collection_delete_confirm_btn_id)\n collection_delete_confirm_btn_sitem.click()\n time.sleep(1)","def assert_can_delete(selenium, obj, can_delete):\n info_page = _get_ui_service(selenium, obj=obj).open_info_page_of_obj(obj)\n assert info_page.three_bbs.delete_option.exists == can_delete\n if can_delete:\n info_page.three_bbs.select_delete().confirm_delete()\n selenium_utils.open_url(obj.url)\n assert ui_utils.is_error_404()","def test_unpublish_button_appears(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertContains(response, self.url)","def test_author_delete_post(self):\n self.client.login(username=\"John\", password=\"newpass1234\")\n response = self.client.post('/posts/1/delete/')\n self.assertEqual(list(Post.objects.filter(id=1)), [])","def test_delete__DeleteForm__3(search_data, browser, role):\n browser.login(role)\n browser.keyword_search('church')\n # There is no delete option which can be applied:\n assert ([\n 'XLS export main (Exports person data and main addresses resp. '\n 'phone numbers.)',\n 'XLS export complete (Exports person data and all addresses resp. '\n 'phone numbers.)',\n 'E-Mail (Creates a link to send e-mails.)',\n 'Names (Comma separated list of person names.)',\n 'Checklist (List of person names with check-boxes.)',\n \"iCalendar export birthday (Export person's birthdays as \"\n \".ics file.)\",\n 'Birthday list (Person names sorted by birthday.)',\n ] == browser.getControl('Apply on selected persons').displayOptions)\n browser.assert_forbidden(browser.SEARCH_DELETE_URL)","def test_delete_boat(self):\n pass","def test_client_delete_view(self):\r\n response = self.test_client.post(\r\n reverse('client_delete', kwargs={'pk': self.client1_id}))\r\n self.assertEqual(response.status_code, 302)\r\n self.assertRaises(ObjectDoesNotExist,\r\n Client.objects.get,\r\n id=self.client1_id)","def test_delete_activity_template(self):\n pass","def test_post_delete_logged_in(self):\n url = reverse('post-detail', kwargs={'pk': self.post.id})\n self.client.force_authenticate(user=self.user)\n response = self.client.delete(url)\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)","def test_public_status_page_delete_public_status_page(self):\n pass","def test_homepage_has_correct_buttons_showing_when_logged_in(testapp):\n resp = testapp.post('/login',\n params={'Username': 'amos',\n 'Password': 'password'}).follow().html\n logout = resp.find(class_=\"navbar-right\").text\n create = resp.find(href=\"http://localhost/journal/new-entry\").text\n assert logout == '\\n Logout\\n'\n assert create == 'Create New Entry'","def test_delete_book(self):\n response = self.client.delete(self.book.get_absolute_url()) \n self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)\n self.assertEqual(Book.objects.count(), 0)","def test_remove_form(self):\n set_up_one_user(self, 1, 0)\n login = self.client.login(username='test', password='2HJ1vRV0Z&3iD')\n s1 = Search.objects.get(terms_en=\"test0\")\n self.assertEqual(s1.user, self.user)\n response = self.client.post(reverse('index'), {'pk': s1.pk})\n s2 = Search.objects.filter(terms_en=\"test1\")\n self.assertEqual(response.status_code, 302)\n self.assertEqual(len(s2), 0)","def test_delete_patient(self):\n response = self.client.delete(\n reverse('patient:patient-detail', kwargs={'pk': Patient.objects.get().id}))\n self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)\n self.assertEqual(Patient.objects.count(), 0)","def test_homepage_has_correct_buttons_showing_when_not_logged_in(testapp):\n html = testapp.get('/').html\n logout = html.find(class_=\"navbar-right\").text\n create = html.find(href=\"http://localhost/journal/new-entry\")\n assert logout == '\\n Login\\n'\n assert not create","def delete(self, source_index):\r\n click_css(self, 'a.delete-button', source_index, require_notification=False)\r\n # Click the confirmation dialog button\r\n click_css(self, 'a.button.action-primary', 0)","def test_dashboards_v2_delete(self):\n pass","def test_api_can_delete_post(self):\n post = Post.objects.get()\n response = self.client.delete(\n reverse('details', kwargs={'pk': post.id}),\n format='json',\n follow=True)\n\n self.assertEquals(response.status_code, status.HTTP_204_NO_CONTENT)","def test_api_can_delete_post(self):\n post = Post.objects.get()\n response = self.client.delete(\n reverse('details', kwargs={'pk': post.id}),\n format='json',\n follow=True)\n\n self.assertEquals(response.status_code, status.HTTP_204_NO_CONTENT)","def test_delete_case(self):\n pass","def test_delete(self):\n query = {\"id\":0}\n result = self.app.delete('/testParaDelete', query_string=query)\n self.assertEqual(result.status_code, 200)\n self.assertEqual(result.data, 'ok')","def test_not_author_delete_post(self):\n self.client.login(username=\"Bill\", password=\"newpass1234\")\n response = self.client.post('/posts/1/delete/', {\"next\": \"\"})\n self.assertNotEqual(list(Post.objects.filter(id=1)), [])","def test_delete_view_redirect_anauth_users_to_login_page(self):\n response = self.client.get('/groups/new_group/delete/')\n self.assertEqual(response.status_code, 302)\n self.assertIn(\"login\", response.url)","def test_delete_detail(self):\n story = create_story(title=\"Test Story\", summary=\"Test Summary\",\n byline=\"Test Byline\", status=\"published\",\n language=\"en\", author=self.user)\n layout = SectionLayout.objects.get(sectionlayouttranslation__name=\"Side by Side\")\n container1 = Container.objects.get(name='left')\n container2 = Container.objects.get(name='right')\n section = create_section(title=\"Test Section 1\", story=story,\n layout=layout)\n self.assertEqual(Section.objects.filter(story=story).count(), 1)\n self.api_client.client.login(username=self.username,\n password=self.password)\n uri = '/api/0.1/stories/%s/sections/%s/' % (story.story_id,\n section.section_id)\n resp = self.api_client.delete(uri)\n self.assertHttpAccepted(resp)\n self.assertEqual(Section.objects.filter(story=story).count(), 0)\n self.assertEqual(\n Section.objects.filter(section_id=section.section_id).count(),\n 0)","def test_deleting_post(self):\n\n delete_post(1)\n post = Post.query.get(1)\n self.assertEqual(post, None)","def test_none_admin_delete(self):\n\n with self.client:\n token = self.customer()\n id = 1\n response = self.client.delete('api/v1/meals/{}'.format(id),\n headers=({\"token\": token}))\n data = json.loads(response.data.decode())\n self.assertEqual(data.get('message'),\n \"Customer is not authorized to access this page\")\n self.assertEqual(response.status_code, 401)","def test_delete_device_template(self):\n pass","def test_delete(self):\n\n test_user = get_user_model().objects.create_user(username='tester',password='pass')\n test_user.save()\n\n test_book = Book.objects.create(\n publisher = test_user,\n name = 'Title of Blog',\n description = 'Words about the blog'\n )\n\n test_book.save()\n\n book = Book.objects.get()\n\n url = reverse('book_detail', kwargs={'pk': book.id})\n\n\n response = self.client.delete(url)\n\n self.assertEquals(response.status_code, status.HTTP_204_NO_CONTENT, url)","def test_that_not_logged_in_does_not_shows_edit_button(testapp):\n html = testapp.get('/journal/1').html\n assert not html.find('main').a","def test_before_delete_for_linked_resource(self):\n resource = factories.Resource()\n helpers.call_action(\"resource_delete\", id=resource[\"id\"])\n with pytest.raises(p.toolkit.ObjectNotFound):\n helpers.call_action(\"resource_show\", id=resource[\"id\"])","def test_delete_product(self):\n product_pk = 1\n product_count_before = models.Product.objects.count()\n url = reverse('products:detail', kwargs={'pk': product_pk})\n response = self.client.delete(url)\n self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)\n self.assertEqual(product_count_before - models.Product.objects.count(), 1)","def test_delete_user(self):\n pass","def test_delete_user(self):\n pass","def test_delete(self):\n\n self.metadata.create_or_update(data=self.create)\n\n # Find by name\n res_name = self.metadata.get_by_name(\n entity=Dashboard, fqn=self.entity.fullyQualifiedName\n )\n # Then fetch by ID\n res_id = self.metadata.get_by_id(\n entity=Dashboard, entity_id=str(res_name.id.__root__)\n )\n\n # Delete\n self.metadata.delete(\n entity=Dashboard, entity_id=str(res_id.id.__root__), recursive=True\n )\n\n # Then we should not find it\n res = self.metadata.list_entities(entity=Dashboard)\n assert not next(\n iter(\n ent\n for ent in res.entities\n if ent.fullyQualifiedName == self.entity.fullyQualifiedName\n ),\n None,\n )","def test_delete_collection(self):\n pass","def test_calendar_view_delete(self):\n # delete calendar\n request = self.factory.post('/module/calendar/del/1/', follow=True)\n request.user = self.user\n request.session = {}\n response = calendar_del(request, 1)\n self.assertEqual(response.status_code, 302)\n\n request = self.factory.post('/module/calendar/del/', {'select': '1'})\n request.user = self.user\n request.session = {}\n response = calendar_del(request, 0)\n self.assertEqual(response.status_code, 302)","def test_delete_link_resources(self):\n g = groups.get_by_name(\"First Group\")\n \n self.open_url('/group/list')\n \n deletelink = self.wd.find_element(By.ID, \"delete-link-{0}\".format(g.id))\n deletelink.click()\n \n self.assertEquals('Delete Group', self.wd.title)\n \n self.submit_form(\"delete_form\")\n \n alert = self.wd.switch_to_alert()\n self.assertEqual(\"Are you sure you wish to permanently delete this group and specified resources?\", alert.text)\n alert.accept()\n \n self.assert_notification(\"Group deleted: {0} (id={1})\".format(g.name, g.id))\n self.assert_not_in_list_table(g.name)","def test_delete__not_found(self):\n testing_config.sign_in('admin@example.com', 123567890)\n\n with register.app.test_request_context(self.request_path):\n with self.assertRaises(werkzeug.exceptions.NotFound):\n self.handler.do_delete(self.feature_id + 1)\n\n revised_feature = models.Feature.get_by_id(self.feature_id)\n self.assertFalse(revised_feature.deleted)","def test_delete_record(self):\n pass","def test_delete__valid(self):\n testing_config.sign_in('admin@example.com', 123567890)\n\n with register.app.test_request_context(self.request_path):\n actual_json = self.handler.do_delete(self.feature_id)\n self.assertEqual({'message': 'Done'}, actual_json)\n\n revised_feature = models.Feature.get_by_id(self.feature_id)\n self.assertTrue(revised_feature.deleted)","def test_delete_product(self):\n view = ProductDeleteView.as_view({'delete': 'destroy'})\n uri = reverse('products:delete-product', kwargs={'pk': self.product_id})\n request = self.factory.delete(uri, HTTP_AUTHORIZATION='Token {}'.format(self.token_admin.key))\n request.user = self.user['admin']\n response = view(request, pk=self.product_id)\n self.assertEqual(response.status_code, 204,\n f'Expected Response Code 204, received {response.status_code} instead.')","def test_delete_ingredient(self):\n ingredient = Ingredient.objects.create(user=self.user, name='Lettuce')\n url = detail_url(ingredient.id)\n res = self.client.delete(url)\n\n self.assertEqual(res.status_code, status.HTTP_204_NO_CONTENT)\n ingredients = Ingredient.objects.filter(user=self.user)\n self.assertFalse(ingredients.exists())","def delete(self):\n ...","def test_destroy(self):\n DoctorFactory.create(id=15)\n response = self.unath_client.get(reverse('doctor-detail', args=[15]))\n self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)\n\n response = self.client.get(reverse('doctor-list'))\n self.assertEqual(response.status_code, status.HTTP_200_OK)\n self.assertTrue(len(response.data), 1)\n\n response = self.client.delete(reverse('doctor-detail', args=[15]))\n self.assertEqual(response.status_code, status.HTTP_405_METHOD_NOT_ALLOWED)\n\n response = self.client.get(reverse('doctor-list'))\n self.assertEqual(response.status_code, status.HTTP_200_OK)\n self.assertEqual(len(response.data), 1)","def test_otoroshi_controllers_adminapi_tcp_service_api_controller_delete_entity_action(self):\n pass","def test_index_delete(self):\n a = self.test_index()\n a.delete()\n es = self.es\n es.refresh()\n r = es.search(query=StringQuery('zool'))\n eq_(r['hits']['total'], 0, \"We shouldn't get any hits.\")","def test_calendar_user_view_delete(self):\n # delete calendar_setting\n request = self.factory.post('/module/calendar_user/del/4/', follow=True)\n request.user = self.user\n request.session = {}\n #response = calendar_user_del(request, 4)\n #self.assertEqual(response.status_code, 302)\n\n request = self.factory.post('/module/calendar_user/del/', {'select': '1'})\n request.user = self.user\n request.session = {}\n #response = calendar_user_del(request, 0)\n #self.assertEqual(response.status_code, 302)","def test_delete(self):\r\n course = CourseFactory.create(org='edX', course='999')\r\n with self.assertRaises(ValueError):\r\n tabs.primitive_delete(course, 0)\r\n with self.assertRaises(ValueError):\r\n tabs.primitive_delete(course, 1)\r\n with self.assertRaises(IndexError):\r\n tabs.primitive_delete(course, 6)\r\n tabs.primitive_delete(course, 2)\r\n self.assertFalse({u'type': u'textbooks'} in course.tabs)\r\n # Check that discussion has shifted up\r\n self.assertEquals(course.tabs[2], {'type': 'discussion', 'name': 'Discussion'})","def test_delete_method(self):\n self.getPage('/blah', method='PUT')\n self.getPage('/', method='DELETE')\n self.assertStatus('204 No Content')\n self.assertHeader('Content-Type', 'application/json')","def help_delete(self):\n print(DELETE)","def test_delete(self):\n SampleTemplate.create(self.metadata, self.new_study)\n SampleTemplate.delete(2)\n obs = self.conn_handler.execute_fetchall(\n \"SELECT * FROM qiita.required_sample_info WHERE study_id=2\")\n exp = []\n self.assertEqual(obs, exp)\n obs = self.conn_handler.execute_fetchall(\n \"SELECT * FROM qiita.study_sample_columns WHERE study_id=2\")\n exp = []\n self.assertEqual(obs, exp)\n with self.assertRaises(QiitaDBExecutionError):\n self.conn_handler.execute_fetchall(\n \"SELECT * FROM qiita.sample_2\")","def test_delete_store_success(self):\n product = sample_product(supplier_id=self.user)\n url = detail_url(product.id)\n res = self.client.delete(url)\n products = Product.objects.all()\n\n self.assertEqual(res.status_code, status.HTTP_204_NO_CONTENT)\n self.assertEqual(len(products), 0)","def test_delete_link_no_resources(self):\n g = groups.get_by_name(\"fifth group\")\n \n self.open_url('/group/list')\n \n deletelink = self.wd.find_element(By.ID, \"delete-link-{0}\".format(g.id))\n deletelink.click()\n \n alert = self.wd.switch_to_alert()\n self.assertEqual(\"Are you sure you want to remove group {0} (id={1})\".format(g.name, g.id), alert.text)\n alert.accept()\n \n self.assert_notification(\"Group deleted: {0} (id={1})\".format(g.name, g.id))\n self.assert_not_in_list_table(g.name)","def test_delete_idea_not_confirm(self):\n self.newidea()\n rv = self.app.post('/delete/idea/1',\n data=dict(),\n follow_redirects=True)\n self.assertIn(b'required', rv.data)","def test_delete_records(self):\n pass","def test_view_all_login_success(self):\n self.client.login(username='DELETE_USER', password=self.test_pass)\n response = self.client.get(reverse('crt_forms:crt-forms-index'))\n self.assertEqual(response.status_code, 200)","def test_delete_product(self):\n self._require_login(self.user1)\n response = self.client.delete('/api/1.0/products/1/')\n self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)\n\n response = self.client.get('/api/1.0/products/1/')\n self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)","def test_alarm_view_delete(self):\n # delete event\n request = self.factory.post('/module/alarm/del/1/', follow=True)\n request.user = self.user\n request.session = {}\n response = alarm_del(request, 1)\n self.assertEqual(response.status_code, 302)\n\n request = self.factory.post('/module/alarm/del/', {'select': '1'})\n request.user = self.user\n request.session = {}\n response = alarm_del(request, 0)\n self.assertEqual(response.status_code, 302)","def test_delete_tag(self):\r\n\r\n with app.test_client() as client:\r\n resp = client.post(f\"/tags/{self.tag.id}/delete\", follow_redirects=True)\r\n html = resp.get_data(as_text=True)\r\n\r\n self.assertEqual(resp.status_code, 200)\r\n self.assertNotIn(\"Marvel\", html)"],"string":"[\n \"def test_delete_custom_button(self):\\n pass\",\n \"def test_delete_button_appears_edit(self):\\n response = self.client.get(reverse('wagtailnews:edit', kwargs={\\n 'pk': self.index.pk, 'newsitem_pk': self.newsitem.pk}))\\n self.assertContains(response, self.url)\",\n \"def test_no_delete_button_appears_index(self):\\n response = self.client.get(reverse('wagtailnews:index', kwargs={\\n 'pk': self.index.pk}))\\n self.assertNotContains(response, self.url)\",\n \"def test_commentary_view_delete(self):\\n \\n test_response = self.client.get('/papers/commentary/1/delete')\\n self.assertEqual(test_response.status_code, 200)\\n self.assertTrue('object' in test_response.context) \\n self.assertTemplateUsed(test_response, 'base.html')\\n self.assertTemplateUsed(test_response, 'confirm_delete.html')\",\n \"def test_no_delete_button_appears_edit(self):\\n response = self.client.get(reverse('wagtailnews:edit', kwargs={\\n 'pk': self.index.pk, 'newsitem_pk': self.newsitem.pk}))\\n self.assertNotContains(response, self.url)\",\n \"def test_delete(admin_client):\\n book = BookFactory()\\n url = reverse(\\\"admin:books_book_delete\\\", args=(book.pk,))\\n\\n response = admin_client.get(url)\\n templates_used = [t.name for t in response.templates]\\n\\n assert response.status_code == 200\\n render_counts = {x: templates_used.count(x) for x in set(templates_used)}\\n\\n # The number of times each template was rendered\\n assert render_counts == {\\n \\\"admin/delete_confirmation.html\\\": 1,\\n \\\"admin/base_site.html\\\": 1,\\n \\\"admin/base.html\\\": 1,\\n \\\"admin/includes/object_delete_summary.html\\\": 1,\\n \\\"jazzmin/includes/ui_builder_panel.html\\\": 1,\\n }\\n\\n # The templates that were used\\n assert set(templates_used) == {\\n \\\"admin/delete_confirmation.html\\\",\\n \\\"admin/base_site.html\\\",\\n \\\"admin/base.html\\\",\\n \\\"admin/includes/object_delete_summary.html\\\",\\n \\\"jazzmin/includes/ui_builder_panel.html\\\",\\n }\\n\\n response = admin_client.post(url, data={\\\"post\\\": \\\"yes\\\"}, follow=True)\\n\\n # We deleted our object, and are now back on the changelist\\n assert not Book.objects.all().exists()\\n assert response.resolver_match.url_name == \\\"books_book_changelist\\\"\",\n \"def test_delete(self):\\n pass\",\n \"def test_delete_post():\\n\\n driver = webdriver.Chrome()\\n driver.get('https://cmput404group10.herokuapp.com')\\n\\n username = driver.find_element_by_id(\\\"username\\\")\\n username.send_keys(\\\"ronWeasley\\\")\\n\\n password = driver.find_element_by_name(\\\"password\\\")\\n password.send_keys(\\\"ualberta123\\\")\\n\\n driver.find_element_by_xpath('/html/body/div/div/div/div/div/div/div[2]/div/form/div[3]/button').click()\\n\\n driver.find_element_by_xpath('//*[@id=\\\"accordionSidebar\\\"]/li[2]/a').click()\\n assert driver.page_source.__contains__(\\\"Selenium Test Content\\\")\\n\\n driver.find_element_by_link_text('Delete').click()\\n\\n driver.find_element_by_xpath('//*[@id=\\\"content\\\"]/div/form/input[2]').click()\\n\\n assert not driver.page_source.__contains__(\\\"Selenium Test Content\\\")\",\n \"def test_edit_button_appears(self):\\n response = self.client.get(reverse('wagtailnews:index', kwargs={\\n 'pk': self.index.pk}))\\n self.assertContains(response, self.url)\",\n \"def test_delete__DeleteForm__4(address_book, browser, role):\\n browser.login(role)\\n browser.assert_forbidden(browser.SEARCH_DELETE_URL)\",\n \"def test_error_html_using_delete(self):\\n pass\",\n \"def test_post_delete_admin(self):\\n url = reverse('post-detail', kwargs={'pk': self.post.id})\\n self.client.force_authenticate(user=self.superuser)\\n response = self.client.delete(url)\\n self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)\",\n \"def test_publication_view_delete(self):\\n \\n test_response = self.client.get('/papers/14-3-3-proteins-a-number-of-functions-for-a-numbered-protein/delete/')\\n self.assertEqual(test_response.status_code, 200)\\n self.assertTrue('publication' in test_response.context) \\n self.assertTemplateUsed(test_response, 'confirm_delete.html')\\n self.assertEqual(test_response.context['publication'].pk, 1)\\n self.assertEqual(test_response.context['publication'].title, u'14-3-3 proteins: a number of functions for a numbered protein.')\\n\\n #verifies that a non-existent object returns a 404 error.\\n null_response = self.client.get('/papers/not-a-real-paper/delete/')\\n self.assertEqual(null_response.status_code, 404)\",\n \"def test_add_button_appears(self):\\n response = self.client.get(reverse('wagtailnews:index', kwargs={\\n 'pk': self.index.pk}))\\n self.assertContains(response, self.url)\",\n \"def test_delete1(self):\\n pass\",\n \"def delete():\\n click.echo('delete was called.')\",\n \"def test_no_edit_button_appears(self):\\n response = self.client.get(reverse('wagtailnews:index', kwargs={\\n 'pk': self.index.pk}))\\n self.assertNotContains(response, self.url)\",\n \"def test_no_add_button_appears(self):\\n response = self.client.get(reverse('wagtailnews:index', kwargs={\\n 'pk': self.index.pk}))\\n self.assertNotContains(response, self.url)\",\n \"def test_delete_view_without_next_redirects_to_group_page(self):\\n self.client.login(username=\\\"John\\\", password=\\\"newpass1234\\\")\\n response = self.client.post('/posts/1/delete/')\\n self.assertIn(\\\"group\\\", response.url)\",\n \"def test_delete_item_using_delete(self):\\n pass\",\n \"def test_delete_view(self):\\n self.client.post(reverse('misago:admin:users:bans:new'), data={\\n 'check_type': '0',\\n 'banned_value': 'TestBan',\\n })\\n\\n test_ban = Ban.objects.get(banned_value='testban')\\n\\n response = self.client.post(reverse('misago:admin:users:bans:delete', kwargs={\\n 'pk': test_ban.pk\\n }))\\n self.assertEqual(response.status_code, 302)\\n\\n response = self.client.get(reverse('misago:admin:users:bans:index'))\\n self.client.get(response['location'])\\n response = self.client.get(response['location'])\\n\\n self.assertEqual(response.status_code, 200)\\n self.assertNotContains(response, test_ban.banned_value)\",\n \"def test_delete_view_redirect_anauth_users_to_login_page(self):\\n response = self.client.get('/posts/1/delete/')\\n self.assertEqual(response.status_code, 302)\\n self.assertIn(\\\"login\\\", response.url)\",\n \"def delete():\\n return render_template('layout.html')\",\n \"def test_delete__DeleteForm__2(search_data, browser):\\n browser.login('mgr')\\n browser.keyword_search('church', 'Delete')\\n # Seleting the `cancel` button leads to the person list without deleting\\n # anybody:\\n browser.getControl('No, cancel').click()\\n assert 'Deletion canceled.' == browser.message\\n assert browser.PERSONS_LIST_URL == browser.url\\n assert 'Koch' in browser.contents\\n assert 'Liebig' in browser.contents\\n assert 'Velleuer' in browser.contents\",\n \"def test_delete_confirmation_template(self):\\n self.login()\\n\\n # BlogIndex needs translated pages before child pages can be translated\\n self.fr_blog_index = self.en_blog_index.copy_for_translation(self.fr_locale)\\n # Create a copy of the en_blog_post object as a translated page\\n self.fr_blog_post = self.en_blog_post.copy_for_translation(self.fr_locale)\\n\\n # Create an alias page to test the `translations_to_move_count`\\n # in the template context\\n new_page = CreatePageAliasAction(\\n self.en_blog_post,\\n recursive=False,\\n parent=self.en_blog_index,\\n update_slug=\\\"alias-page-slug\\\",\\n user=None,\\n )\\n new_page.execute(skip_permission_checks=True)\\n\\n response = self.client.get(\\n reverse(\\n \\\"wagtailadmin_pages:delete\\\",\\n args=(self.en_blog_post.id,),\\n ),\\n follow=True,\\n )\\n self.assertEqual(response.status_code, 200)\\n self.assertEqual(response.context[\\\"translation_count\\\"], 1)\\n self.assertEqual(response.context[\\\"translation_descendant_count\\\"], 0)\\n self.assertIn(\\n \\\"Deleting this page will also delete 1 translation of this page.\\\",\\n response.content.decode(\\\"utf-8\\\"),\\n )\",\n \"def test_delete_run(self):\\n pass\",\n \"def test_delete_note(self):\\n\\n url = reverse(\\n 'crm-admin:note-delete',\\n kwargs={\\n 'pk': self.object.id\\n }\\n )\\n\\n # Test that the page load first\\n response = self.c.get(url)\\n self.assertEqual(response.status_code, 200)\\n\\n # Action detail with POST call\\n response = self.c.post(url)\\n self.assertEqual(response.status_code, 302)\\n\\n # Test that the record has been deleted\\n obj = Note.objects.filter(id=self.object.id)\\n self.assertEqual(obj.count(), 0)\",\n \"def test_delete(self):\\n self.client.force_authenticate(user=self.admin)\\n\\n response = self.client.delete(\\n reverse(\\n 'retreat:waitqueuenotification-detail',\\n kwargs={'pk': 1},\\n ),\\n )\\n\\n self.assertEqual(\\n response.status_code,\\n status.HTTP_405_METHOD_NOT_ALLOWED\\n )\",\n \"def test_plusrecors_delete(self):\\n f = FlatPage.objects.create(title = 'f',\\n url = '/minus/upload/plus/done/',\\n content = 'flapi')\\n self.go200('minus_plus_upload')\\n self.formfile('minus_plus_upload', 'file', AUDIO_FILE)\\n self.submit200()\\n self.url('minus_plus_upload_done')\\n self.find('flapi')\\n self.go200('minus_plus_upload')\\n self.formfile('minus_plus_upload', 'file', AUDIO_FILE)\\n self.submit200()\\n self.assert_equal(MinusPlusRecord.objects.count(), 2)\\n self.go200('minus_upload')\\n self.formfile('minus_upload', 'file', AUDIO_FILE)\\n self.submit200()\\n self.find('Плюс')\\n m = MinusRecord.objects.all()[0]\\n p = MinusPlusRecord.objects.all()[0]\\n self.assert_equal(p.minus , m)\\n self.assert_equal(MinusPlusRecord.objects.count(), 1)\\n self.go200('plus_delete', [p.id])\\n self.fv('object_delete','__confirm__', 1)\\n self.submit200()\\n self.assert_equal(MinusPlusRecord.objects.count(), 0)\",\n \"def test_delete_permission(self):\\r\\n self.assertFalse(self.creator_admin.has_delete_permission(self.request))\",\n \"def delete(request):\\n return render(request, 'modify.html')\",\n \"def test_delete__DeleteForm__1(search_data, UserFactory, browser):\\n address_book = search_data\\n # Create a user -- the person of a user cannot be deleted using this search\\n # result handler.\\n UserFactory(address_book, u'Ben', u'Utzer', u'ben@example.com',\\n u'12345678', [], keywords=[u'church'])\\n browser.login('mgr')\\n browser.keyword_search('church')\\n # Only the selected persons get deleted. Deselected persons will not:\\n browser.getControl(name='persons:list').getControl(\\n value=\\\"Person-2\\\").selected = False # This this the person named \\\"Koch\\\"\\n browser.getControl('Apply on selected persons').displayValue = [\\n 'Delete']\\n browser.getControl(name='form.buttons.apply').click()\\n # The number of persons for deletion is shown on the question screen:\\n # (There are 3 persons with the church keyword in the fixture, one got\\n # deselected but there is additionally a newly created user.\\n assert ['3'] == browser.etree.xpath(\\n '//span[@id=\\\"form-widgets-count\\\"]/text()')\\n assert ('You are not able to delete a person who is referenced.'\\n in browser.contents)\\n assert browser.SEARCH_DELETE_URL == browser.url\\n browser.getControl('Yes, delete').click()\\n assert 'Selected persons deleted: 2' == browser.message\\n assert browser.PERSONS_LIST_URL == browser.url\\n # Only the two non-users got deleted:\\n assert 'Koch' in browser.contents\\n assert 'Utzer' in browser.contents\\n assert 'Liebig' not in browser.contents\\n assert 'Velleuer' not in browser.contents\",\n \"def test_01_admin_index(self):\\r\\n self.register()\\r\\n res = self.app.get(\\\"/admin\\\", follow_redirects=True)\\r\\n dom = BeautifulSoup(res.data)\\r\\n err_msg = \\\"There should be an index page for admin users and apps\\\"\\r\\n assert \\\"Settings\\\" in res.data, err_msg\\r\\n divs = ['featured-apps', 'users', 'categories', 'users-list']\\r\\n for div in divs:\\r\\n err_msg = \\\"There should be a button for managing %s\\\" % div\\r\\n assert dom.find(id=div) is not None, err_msg\",\n \"def test_get_delete_page(self):\\n\\n data = self.get_valid_data()\\n notification = reminders.Notification.objects.create(**data)\\n url = reverse('delete-notification', args=[notification.pk])\\n response = self.client.get(url)\\n self.assertEqual(response.status_code, 200)\",\n \"def test_get_delete_page(self):\\n\\n data = self.get_valid_data()\\n notification = reminders.Notification.objects.create(**data)\\n url = reverse('delete-notification', args=[notification.pk])\\n response = self.client.get(url)\\n self.assertEqual(response.status_code, 200)\",\n \"def test_deleted(self):\\n event = Event.objects.all()[0]\\n\\n todo = TodoItem.objects.create(\\n event=event, completed=False, title=\\\"Test TODO3\\\",\\n due=datetime.date.today(), additional=\\\"\\\",\\n )\\n\\n assert todo in event.todoitem_set.all()\\n\\n self.client.get(reverse('todo_delete', args=[todo.pk]))\\n\\n assert event.todoitem_set.all().count() == 0\",\n \"def test_delete_but_no_view_permission(client):\\n user = user_with_permissions(\\\"polls.delete_poll\\\")\\n\\n url = reverse(\\\"admin:index\\\")\\n client.force_login(user)\\n\\n response = client.get(url)\\n assert parse_sidemenu(response) == {\\\"Global\\\": [\\\"/en/admin/\\\"], \\\"Polls\\\": [None]}\",\n \"def test_delete7(self):\\n pass\",\n \"def test_delete(self, client, users):\\n user = users[0]\\n url = reverse('users:delete', args=(user.pk,))\\n response = client.get(url)\\n assert response.status_code == 405\\n response = client.post(url)\\n assert response.status_code == 302\\n assert response.url == reverse('users:list')\\n assert not get_user_model().objects.filter(pk=user.pk).exists()\",\n \"def test_admin_index(self):\\n response = self.client.get('/admin/')\\n self.assertEqual(response.status_code, 200)\\n self.assertContains(response, \\\"Djrill\\\")\",\n \"def test_event_view_delete(self):\\n # delete event\\n request = self.factory.post('/module/event/del/1/', follow=True)\\n request.user = self.user\\n request.session = {}\\n response = event_del(request, 1)\\n self.assertEqual(response.status_code, 302)\\n\\n request = self.factory.post('/module/event/del/', {'select': '1'})\\n request.user = self.user\\n request.session = {}\\n response = event_del(request, 0)\\n self.assertEqual(response.status_code, 302)\",\n \"def collection_delete_confirm_btn(self):\\n collection_delete_confirm_btn_sitem = self.locator_finder_by_xpath(self.collection_delete_confirm_btn_id)\\n collection_delete_confirm_btn_sitem.click()\\n time.sleep(1)\",\n \"def assert_can_delete(selenium, obj, can_delete):\\n info_page = _get_ui_service(selenium, obj=obj).open_info_page_of_obj(obj)\\n assert info_page.three_bbs.delete_option.exists == can_delete\\n if can_delete:\\n info_page.three_bbs.select_delete().confirm_delete()\\n selenium_utils.open_url(obj.url)\\n assert ui_utils.is_error_404()\",\n \"def test_unpublish_button_appears(self):\\n response = self.client.get(reverse('wagtailnews:index', kwargs={\\n 'pk': self.index.pk}))\\n self.assertContains(response, self.url)\",\n \"def test_author_delete_post(self):\\n self.client.login(username=\\\"John\\\", password=\\\"newpass1234\\\")\\n response = self.client.post('/posts/1/delete/')\\n self.assertEqual(list(Post.objects.filter(id=1)), [])\",\n \"def test_delete__DeleteForm__3(search_data, browser, role):\\n browser.login(role)\\n browser.keyword_search('church')\\n # There is no delete option which can be applied:\\n assert ([\\n 'XLS export main (Exports person data and main addresses resp. '\\n 'phone numbers.)',\\n 'XLS export complete (Exports person data and all addresses resp. '\\n 'phone numbers.)',\\n 'E-Mail (Creates a link to send e-mails.)',\\n 'Names (Comma separated list of person names.)',\\n 'Checklist (List of person names with check-boxes.)',\\n \\\"iCalendar export birthday (Export person's birthdays as \\\"\\n \\\".ics file.)\\\",\\n 'Birthday list (Person names sorted by birthday.)',\\n ] == browser.getControl('Apply on selected persons').displayOptions)\\n browser.assert_forbidden(browser.SEARCH_DELETE_URL)\",\n \"def test_delete_boat(self):\\n pass\",\n \"def test_client_delete_view(self):\\r\\n response = self.test_client.post(\\r\\n reverse('client_delete', kwargs={'pk': self.client1_id}))\\r\\n self.assertEqual(response.status_code, 302)\\r\\n self.assertRaises(ObjectDoesNotExist,\\r\\n Client.objects.get,\\r\\n id=self.client1_id)\",\n \"def test_delete_activity_template(self):\\n pass\",\n \"def test_post_delete_logged_in(self):\\n url = reverse('post-detail', kwargs={'pk': self.post.id})\\n self.client.force_authenticate(user=self.user)\\n response = self.client.delete(url)\\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)\",\n \"def test_public_status_page_delete_public_status_page(self):\\n pass\",\n \"def test_homepage_has_correct_buttons_showing_when_logged_in(testapp):\\n resp = testapp.post('/login',\\n params={'Username': 'amos',\\n 'Password': 'password'}).follow().html\\n logout = resp.find(class_=\\\"navbar-right\\\").text\\n create = resp.find(href=\\\"http://localhost/journal/new-entry\\\").text\\n assert logout == '\\\\n Logout\\\\n'\\n assert create == 'Create New Entry'\",\n \"def test_delete_book(self):\\n response = self.client.delete(self.book.get_absolute_url()) \\n self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)\\n self.assertEqual(Book.objects.count(), 0)\",\n \"def test_remove_form(self):\\n set_up_one_user(self, 1, 0)\\n login = self.client.login(username='test', password='2HJ1vRV0Z&3iD')\\n s1 = Search.objects.get(terms_en=\\\"test0\\\")\\n self.assertEqual(s1.user, self.user)\\n response = self.client.post(reverse('index'), {'pk': s1.pk})\\n s2 = Search.objects.filter(terms_en=\\\"test1\\\")\\n self.assertEqual(response.status_code, 302)\\n self.assertEqual(len(s2), 0)\",\n \"def test_delete_patient(self):\\n response = self.client.delete(\\n reverse('patient:patient-detail', kwargs={'pk': Patient.objects.get().id}))\\n self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)\\n self.assertEqual(Patient.objects.count(), 0)\",\n \"def test_homepage_has_correct_buttons_showing_when_not_logged_in(testapp):\\n html = testapp.get('/').html\\n logout = html.find(class_=\\\"navbar-right\\\").text\\n create = html.find(href=\\\"http://localhost/journal/new-entry\\\")\\n assert logout == '\\\\n Login\\\\n'\\n assert not create\",\n \"def delete(self, source_index):\\r\\n click_css(self, 'a.delete-button', source_index, require_notification=False)\\r\\n # Click the confirmation dialog button\\r\\n click_css(self, 'a.button.action-primary', 0)\",\n \"def test_dashboards_v2_delete(self):\\n pass\",\n \"def test_api_can_delete_post(self):\\n post = Post.objects.get()\\n response = self.client.delete(\\n reverse('details', kwargs={'pk': post.id}),\\n format='json',\\n follow=True)\\n\\n self.assertEquals(response.status_code, status.HTTP_204_NO_CONTENT)\",\n \"def test_api_can_delete_post(self):\\n post = Post.objects.get()\\n response = self.client.delete(\\n reverse('details', kwargs={'pk': post.id}),\\n format='json',\\n follow=True)\\n\\n self.assertEquals(response.status_code, status.HTTP_204_NO_CONTENT)\",\n \"def test_delete_case(self):\\n pass\",\n \"def test_delete(self):\\n query = {\\\"id\\\":0}\\n result = self.app.delete('/testParaDelete', query_string=query)\\n self.assertEqual(result.status_code, 200)\\n self.assertEqual(result.data, 'ok')\",\n \"def test_not_author_delete_post(self):\\n self.client.login(username=\\\"Bill\\\", password=\\\"newpass1234\\\")\\n response = self.client.post('/posts/1/delete/', {\\\"next\\\": \\\"\\\"})\\n self.assertNotEqual(list(Post.objects.filter(id=1)), [])\",\n \"def test_delete_view_redirect_anauth_users_to_login_page(self):\\n response = self.client.get('/groups/new_group/delete/')\\n self.assertEqual(response.status_code, 302)\\n self.assertIn(\\\"login\\\", response.url)\",\n \"def test_delete_detail(self):\\n story = create_story(title=\\\"Test Story\\\", summary=\\\"Test Summary\\\",\\n byline=\\\"Test Byline\\\", status=\\\"published\\\",\\n language=\\\"en\\\", author=self.user)\\n layout = SectionLayout.objects.get(sectionlayouttranslation__name=\\\"Side by Side\\\")\\n container1 = Container.objects.get(name='left')\\n container2 = Container.objects.get(name='right')\\n section = create_section(title=\\\"Test Section 1\\\", story=story,\\n layout=layout)\\n self.assertEqual(Section.objects.filter(story=story).count(), 1)\\n self.api_client.client.login(username=self.username,\\n password=self.password)\\n uri = '/api/0.1/stories/%s/sections/%s/' % (story.story_id,\\n section.section_id)\\n resp = self.api_client.delete(uri)\\n self.assertHttpAccepted(resp)\\n self.assertEqual(Section.objects.filter(story=story).count(), 0)\\n self.assertEqual(\\n Section.objects.filter(section_id=section.section_id).count(),\\n 0)\",\n \"def test_deleting_post(self):\\n\\n delete_post(1)\\n post = Post.query.get(1)\\n self.assertEqual(post, None)\",\n \"def test_none_admin_delete(self):\\n\\n with self.client:\\n token = self.customer()\\n id = 1\\n response = self.client.delete('api/v1/meals/{}'.format(id),\\n headers=({\\\"token\\\": token}))\\n data = json.loads(response.data.decode())\\n self.assertEqual(data.get('message'),\\n \\\"Customer is not authorized to access this page\\\")\\n self.assertEqual(response.status_code, 401)\",\n \"def test_delete_device_template(self):\\n pass\",\n \"def test_delete(self):\\n\\n test_user = get_user_model().objects.create_user(username='tester',password='pass')\\n test_user.save()\\n\\n test_book = Book.objects.create(\\n publisher = test_user,\\n name = 'Title of Blog',\\n description = 'Words about the blog'\\n )\\n\\n test_book.save()\\n\\n book = Book.objects.get()\\n\\n url = reverse('book_detail', kwargs={'pk': book.id})\\n\\n\\n response = self.client.delete(url)\\n\\n self.assertEquals(response.status_code, status.HTTP_204_NO_CONTENT, url)\",\n \"def test_that_not_logged_in_does_not_shows_edit_button(testapp):\\n html = testapp.get('/journal/1').html\\n assert not html.find('main').a\",\n \"def test_before_delete_for_linked_resource(self):\\n resource = factories.Resource()\\n helpers.call_action(\\\"resource_delete\\\", id=resource[\\\"id\\\"])\\n with pytest.raises(p.toolkit.ObjectNotFound):\\n helpers.call_action(\\\"resource_show\\\", id=resource[\\\"id\\\"])\",\n \"def test_delete_product(self):\\n product_pk = 1\\n product_count_before = models.Product.objects.count()\\n url = reverse('products:detail', kwargs={'pk': product_pk})\\n response = self.client.delete(url)\\n self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)\\n self.assertEqual(product_count_before - models.Product.objects.count(), 1)\",\n \"def test_delete_user(self):\\n pass\",\n \"def test_delete_user(self):\\n pass\",\n \"def test_delete(self):\\n\\n self.metadata.create_or_update(data=self.create)\\n\\n # Find by name\\n res_name = self.metadata.get_by_name(\\n entity=Dashboard, fqn=self.entity.fullyQualifiedName\\n )\\n # Then fetch by ID\\n res_id = self.metadata.get_by_id(\\n entity=Dashboard, entity_id=str(res_name.id.__root__)\\n )\\n\\n # Delete\\n self.metadata.delete(\\n entity=Dashboard, entity_id=str(res_id.id.__root__), recursive=True\\n )\\n\\n # Then we should not find it\\n res = self.metadata.list_entities(entity=Dashboard)\\n assert not next(\\n iter(\\n ent\\n for ent in res.entities\\n if ent.fullyQualifiedName == self.entity.fullyQualifiedName\\n ),\\n None,\\n )\",\n \"def test_delete_collection(self):\\n pass\",\n \"def test_calendar_view_delete(self):\\n # delete calendar\\n request = self.factory.post('/module/calendar/del/1/', follow=True)\\n request.user = self.user\\n request.session = {}\\n response = calendar_del(request, 1)\\n self.assertEqual(response.status_code, 302)\\n\\n request = self.factory.post('/module/calendar/del/', {'select': '1'})\\n request.user = self.user\\n request.session = {}\\n response = calendar_del(request, 0)\\n self.assertEqual(response.status_code, 302)\",\n \"def test_delete_link_resources(self):\\n g = groups.get_by_name(\\\"First Group\\\")\\n \\n self.open_url('/group/list')\\n \\n deletelink = self.wd.find_element(By.ID, \\\"delete-link-{0}\\\".format(g.id))\\n deletelink.click()\\n \\n self.assertEquals('Delete Group', self.wd.title)\\n \\n self.submit_form(\\\"delete_form\\\")\\n \\n alert = self.wd.switch_to_alert()\\n self.assertEqual(\\\"Are you sure you wish to permanently delete this group and specified resources?\\\", alert.text)\\n alert.accept()\\n \\n self.assert_notification(\\\"Group deleted: {0} (id={1})\\\".format(g.name, g.id))\\n self.assert_not_in_list_table(g.name)\",\n \"def test_delete__not_found(self):\\n testing_config.sign_in('admin@example.com', 123567890)\\n\\n with register.app.test_request_context(self.request_path):\\n with self.assertRaises(werkzeug.exceptions.NotFound):\\n self.handler.do_delete(self.feature_id + 1)\\n\\n revised_feature = models.Feature.get_by_id(self.feature_id)\\n self.assertFalse(revised_feature.deleted)\",\n \"def test_delete_record(self):\\n pass\",\n \"def test_delete__valid(self):\\n testing_config.sign_in('admin@example.com', 123567890)\\n\\n with register.app.test_request_context(self.request_path):\\n actual_json = self.handler.do_delete(self.feature_id)\\n self.assertEqual({'message': 'Done'}, actual_json)\\n\\n revised_feature = models.Feature.get_by_id(self.feature_id)\\n self.assertTrue(revised_feature.deleted)\",\n \"def test_delete_product(self):\\n view = ProductDeleteView.as_view({'delete': 'destroy'})\\n uri = reverse('products:delete-product', kwargs={'pk': self.product_id})\\n request = self.factory.delete(uri, HTTP_AUTHORIZATION='Token {}'.format(self.token_admin.key))\\n request.user = self.user['admin']\\n response = view(request, pk=self.product_id)\\n self.assertEqual(response.status_code, 204,\\n f'Expected Response Code 204, received {response.status_code} instead.')\",\n \"def test_delete_ingredient(self):\\n ingredient = Ingredient.objects.create(user=self.user, name='Lettuce')\\n url = detail_url(ingredient.id)\\n res = self.client.delete(url)\\n\\n self.assertEqual(res.status_code, status.HTTP_204_NO_CONTENT)\\n ingredients = Ingredient.objects.filter(user=self.user)\\n self.assertFalse(ingredients.exists())\",\n \"def delete(self):\\n ...\",\n \"def test_destroy(self):\\n DoctorFactory.create(id=15)\\n response = self.unath_client.get(reverse('doctor-detail', args=[15]))\\n self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)\\n\\n response = self.client.get(reverse('doctor-list'))\\n self.assertEqual(response.status_code, status.HTTP_200_OK)\\n self.assertTrue(len(response.data), 1)\\n\\n response = self.client.delete(reverse('doctor-detail', args=[15]))\\n self.assertEqual(response.status_code, status.HTTP_405_METHOD_NOT_ALLOWED)\\n\\n response = self.client.get(reverse('doctor-list'))\\n self.assertEqual(response.status_code, status.HTTP_200_OK)\\n self.assertEqual(len(response.data), 1)\",\n \"def test_otoroshi_controllers_adminapi_tcp_service_api_controller_delete_entity_action(self):\\n pass\",\n \"def test_index_delete(self):\\n a = self.test_index()\\n a.delete()\\n es = self.es\\n es.refresh()\\n r = es.search(query=StringQuery('zool'))\\n eq_(r['hits']['total'], 0, \\\"We shouldn't get any hits.\\\")\",\n \"def test_calendar_user_view_delete(self):\\n # delete calendar_setting\\n request = self.factory.post('/module/calendar_user/del/4/', follow=True)\\n request.user = self.user\\n request.session = {}\\n #response = calendar_user_del(request, 4)\\n #self.assertEqual(response.status_code, 302)\\n\\n request = self.factory.post('/module/calendar_user/del/', {'select': '1'})\\n request.user = self.user\\n request.session = {}\\n #response = calendar_user_del(request, 0)\\n #self.assertEqual(response.status_code, 302)\",\n \"def test_delete(self):\\r\\n course = CourseFactory.create(org='edX', course='999')\\r\\n with self.assertRaises(ValueError):\\r\\n tabs.primitive_delete(course, 0)\\r\\n with self.assertRaises(ValueError):\\r\\n tabs.primitive_delete(course, 1)\\r\\n with self.assertRaises(IndexError):\\r\\n tabs.primitive_delete(course, 6)\\r\\n tabs.primitive_delete(course, 2)\\r\\n self.assertFalse({u'type': u'textbooks'} in course.tabs)\\r\\n # Check that discussion has shifted up\\r\\n self.assertEquals(course.tabs[2], {'type': 'discussion', 'name': 'Discussion'})\",\n \"def test_delete_method(self):\\n self.getPage('/blah', method='PUT')\\n self.getPage('/', method='DELETE')\\n self.assertStatus('204 No Content')\\n self.assertHeader('Content-Type', 'application/json')\",\n \"def help_delete(self):\\n print(DELETE)\",\n \"def test_delete(self):\\n SampleTemplate.create(self.metadata, self.new_study)\\n SampleTemplate.delete(2)\\n obs = self.conn_handler.execute_fetchall(\\n \\\"SELECT * FROM qiita.required_sample_info WHERE study_id=2\\\")\\n exp = []\\n self.assertEqual(obs, exp)\\n obs = self.conn_handler.execute_fetchall(\\n \\\"SELECT * FROM qiita.study_sample_columns WHERE study_id=2\\\")\\n exp = []\\n self.assertEqual(obs, exp)\\n with self.assertRaises(QiitaDBExecutionError):\\n self.conn_handler.execute_fetchall(\\n \\\"SELECT * FROM qiita.sample_2\\\")\",\n \"def test_delete_store_success(self):\\n product = sample_product(supplier_id=self.user)\\n url = detail_url(product.id)\\n res = self.client.delete(url)\\n products = Product.objects.all()\\n\\n self.assertEqual(res.status_code, status.HTTP_204_NO_CONTENT)\\n self.assertEqual(len(products), 0)\",\n \"def test_delete_link_no_resources(self):\\n g = groups.get_by_name(\\\"fifth group\\\")\\n \\n self.open_url('/group/list')\\n \\n deletelink = self.wd.find_element(By.ID, \\\"delete-link-{0}\\\".format(g.id))\\n deletelink.click()\\n \\n alert = self.wd.switch_to_alert()\\n self.assertEqual(\\\"Are you sure you want to remove group {0} (id={1})\\\".format(g.name, g.id), alert.text)\\n alert.accept()\\n \\n self.assert_notification(\\\"Group deleted: {0} (id={1})\\\".format(g.name, g.id))\\n self.assert_not_in_list_table(g.name)\",\n \"def test_delete_idea_not_confirm(self):\\n self.newidea()\\n rv = self.app.post('/delete/idea/1',\\n data=dict(),\\n follow_redirects=True)\\n self.assertIn(b'required', rv.data)\",\n \"def test_delete_records(self):\\n pass\",\n \"def test_view_all_login_success(self):\\n self.client.login(username='DELETE_USER', password=self.test_pass)\\n response = self.client.get(reverse('crt_forms:crt-forms-index'))\\n self.assertEqual(response.status_code, 200)\",\n \"def test_delete_product(self):\\n self._require_login(self.user1)\\n response = self.client.delete('/api/1.0/products/1/')\\n self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)\\n\\n response = self.client.get('/api/1.0/products/1/')\\n self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)\",\n \"def test_alarm_view_delete(self):\\n # delete event\\n request = self.factory.post('/module/alarm/del/1/', follow=True)\\n request.user = self.user\\n request.session = {}\\n response = alarm_del(request, 1)\\n self.assertEqual(response.status_code, 302)\\n\\n request = self.factory.post('/module/alarm/del/', {'select': '1'})\\n request.user = self.user\\n request.session = {}\\n response = alarm_del(request, 0)\\n self.assertEqual(response.status_code, 302)\",\n \"def test_delete_tag(self):\\r\\n\\r\\n with app.test_client() as client:\\r\\n resp = client.post(f\\\"/tags/{self.tag.id}/delete\\\", follow_redirects=True)\\r\\n html = resp.get_data(as_text=True)\\r\\n\\r\\n self.assertEqual(resp.status_code, 200)\\r\\n self.assertNotIn(\\\"Marvel\\\", html)\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.7964029","0.7892996","0.7400673","0.73430234","0.71478194","0.7119191","0.7053078","0.6989711","0.6853455","0.6781707","0.6727742","0.6702557","0.66956884","0.6683815","0.6649543","0.66001225","0.65985805","0.65659857","0.6558182","0.6522168","0.6506768","0.6501741","0.6501715","0.64938843","0.64873403","0.64803016","0.6477459","0.64774543","0.6467077","0.64618826","0.64522815","0.6417918","0.6413588","0.6410623","0.6410623","0.6408125","0.64069307","0.6399668","0.6379793","0.6349428","0.63466394","0.63447183","0.63297457","0.6288008","0.62866294","0.6284934","0.62666976","0.62642777","0.6251635","0.62106323","0.620926","0.6197074","0.6182405","0.61799425","0.6166595","0.6164347","0.6159752","0.6158248","0.61576664","0.61576664","0.615342","0.6152924","0.613601","0.61332923","0.613257","0.6118923","0.6098425","0.609461","0.60921174","0.6075568","0.6070401","0.6064496","0.606309","0.606309","0.6051434","0.6049716","0.60457444","0.6043847","0.60318017","0.602768","0.60237795","0.6021069","0.6019265","0.6017542","0.60118157","0.60033464","0.59990895","0.59969324","0.59967035","0.59956723","0.5993924","0.59876233","0.5984938","0.5984066","0.59837586","0.5979198","0.59740776","0.5969343","0.5965275","0.5963385"],"string":"[\n \"0.7964029\",\n \"0.7892996\",\n \"0.7400673\",\n \"0.73430234\",\n \"0.71478194\",\n \"0.7119191\",\n \"0.7053078\",\n \"0.6989711\",\n \"0.6853455\",\n \"0.6781707\",\n \"0.6727742\",\n \"0.6702557\",\n \"0.66956884\",\n \"0.6683815\",\n \"0.6649543\",\n \"0.66001225\",\n \"0.65985805\",\n \"0.65659857\",\n \"0.6558182\",\n \"0.6522168\",\n \"0.6506768\",\n \"0.6501741\",\n \"0.6501715\",\n \"0.64938843\",\n \"0.64873403\",\n \"0.64803016\",\n \"0.6477459\",\n \"0.64774543\",\n \"0.6467077\",\n \"0.64618826\",\n \"0.64522815\",\n \"0.6417918\",\n \"0.6413588\",\n \"0.6410623\",\n \"0.6410623\",\n \"0.6408125\",\n \"0.64069307\",\n \"0.6399668\",\n \"0.6379793\",\n \"0.6349428\",\n \"0.63466394\",\n \"0.63447183\",\n \"0.63297457\",\n \"0.6288008\",\n \"0.62866294\",\n \"0.6284934\",\n \"0.62666976\",\n \"0.62642777\",\n \"0.6251635\",\n \"0.62106323\",\n \"0.620926\",\n \"0.6197074\",\n \"0.6182405\",\n \"0.61799425\",\n \"0.6166595\",\n \"0.6164347\",\n \"0.6159752\",\n \"0.6158248\",\n \"0.61576664\",\n \"0.61576664\",\n \"0.615342\",\n \"0.6152924\",\n \"0.613601\",\n \"0.61332923\",\n \"0.613257\",\n \"0.6118923\",\n \"0.6098425\",\n \"0.609461\",\n \"0.60921174\",\n \"0.6075568\",\n \"0.6070401\",\n \"0.6064496\",\n \"0.606309\",\n \"0.606309\",\n \"0.6051434\",\n \"0.6049716\",\n \"0.60457444\",\n \"0.6043847\",\n \"0.60318017\",\n \"0.602768\",\n \"0.60237795\",\n \"0.6021069\",\n \"0.6019265\",\n \"0.6017542\",\n \"0.60118157\",\n \"0.60033464\",\n \"0.59990895\",\n \"0.59969324\",\n \"0.59967035\",\n \"0.59956723\",\n \"0.5993924\",\n \"0.59876233\",\n \"0.5984938\",\n \"0.5984066\",\n \"0.59837586\",\n \"0.5979198\",\n \"0.59740776\",\n \"0.5969343\",\n \"0.5965275\",\n \"0.5963385\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.81418383"},"document_rank":{"kind":"string","value":"0"}}},{"rowIdx":86782,"cells":{"query":{"kind":"string","value":"Test that the delete button does not appear on the index page"},"document":{"kind":"string","value":"def test_no_delete_button_appears_index(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertNotContains(response, self.url)"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def test_delete_button_appears_index(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertContains(response, self.url)","def test_no_delete_button_appears_edit(self):\n response = self.client.get(reverse('wagtailnews:edit', kwargs={\n 'pk': self.index.pk, 'newsitem_pk': self.newsitem.pk}))\n self.assertNotContains(response, self.url)","def test_delete_custom_button(self):\n pass","def test_delete_button_appears_edit(self):\n response = self.client.get(reverse('wagtailnews:edit', kwargs={\n 'pk': self.index.pk, 'newsitem_pk': self.newsitem.pk}))\n self.assertContains(response, self.url)","def test_no_edit_button_appears(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertNotContains(response, self.url)","def test_no_add_button_appears(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertNotContains(response, self.url)","def test_that_not_logged_in_does_not_shows_edit_button(testapp):\n html = testapp.get('/journal/1').html\n assert not html.find('main').a","def test_error_html_using_delete(self):\n pass","def test_commentary_view_delete(self):\n \n test_response = self.client.get('/papers/commentary/1/delete')\n self.assertEqual(test_response.status_code, 200)\n self.assertTrue('object' in test_response.context) \n self.assertTemplateUsed(test_response, 'base.html')\n self.assertTemplateUsed(test_response, 'confirm_delete.html')","def test_delete(self):\n pass","def test_delete_but_no_view_permission(client):\n user = user_with_permissions(\"polls.delete_poll\")\n\n url = reverse(\"admin:index\")\n client.force_login(user)\n\n response = client.get(url)\n assert parse_sidemenu(response) == {\"Global\": [\"/en/admin/\"], \"Polls\": [None]}","def test_delete__DeleteForm__4(address_book, browser, role):\n browser.login(role)\n browser.assert_forbidden(browser.SEARCH_DELETE_URL)","def test_no_tagging_button(self):\n response = self.client.get(self.get_url(self.trait.pk))\n context = response.context\n self.assertNotContains(response, reverse('trait_browser:source:traits:tagging', kwargs={'pk': self.trait.pk}))\n self.assertFalse(context['show_tag_button'])","def test_delete(admin_client):\n book = BookFactory()\n url = reverse(\"admin:books_book_delete\", args=(book.pk,))\n\n response = admin_client.get(url)\n templates_used = [t.name for t in response.templates]\n\n assert response.status_code == 200\n render_counts = {x: templates_used.count(x) for x in set(templates_used)}\n\n # The number of times each template was rendered\n assert render_counts == {\n \"admin/delete_confirmation.html\": 1,\n \"admin/base_site.html\": 1,\n \"admin/base.html\": 1,\n \"admin/includes/object_delete_summary.html\": 1,\n \"jazzmin/includes/ui_builder_panel.html\": 1,\n }\n\n # The templates that were used\n assert set(templates_used) == {\n \"admin/delete_confirmation.html\",\n \"admin/base_site.html\",\n \"admin/base.html\",\n \"admin/includes/object_delete_summary.html\",\n \"jazzmin/includes/ui_builder_panel.html\",\n }\n\n response = admin_client.post(url, data={\"post\": \"yes\"}, follow=True)\n\n # We deleted our object, and are now back on the changelist\n assert not Book.objects.all().exists()\n assert response.resolver_match.url_name == \"books_book_changelist\"","def test_delete_permission(self):\r\n self.assertFalse(self.creator_admin.has_delete_permission(self.request))","def test_unpublish_button_appears(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertContains(response, self.url)","def test_post_delete_admin(self):\n url = reverse('post-detail', kwargs={'pk': self.post.id})\n self.client.force_authenticate(user=self.superuser)\n response = self.client.delete(url)\n self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)","def test_delete_view_without_next_redirects_to_group_page(self):\n self.client.login(username=\"John\", password=\"newpass1234\")\n response = self.client.post('/posts/1/delete/')\n self.assertIn(\"group\", response.url)","def test_not_author_delete_post(self):\n self.client.login(username=\"Bill\", password=\"newpass1234\")\n response = self.client.post('/posts/1/delete/', {\"next\": \"\"})\n self.assertNotEqual(list(Post.objects.filter(id=1)), [])","def test_no_unpublish_button_appears(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertNotContains(response, self.url)","def test_delete_idea_not_confirm(self):\n self.newidea()\n rv = self.app.post('/delete/idea/1',\n data=dict(),\n follow_redirects=True)\n self.assertIn(b'required', rv.data)","def test_homepage_has_correct_buttons_showing_when_not_logged_in(testapp):\n html = testapp.get('/').html\n logout = html.find(class_=\"navbar-right\").text\n create = html.find(href=\"http://localhost/journal/new-entry\")\n assert logout == '\\n Login\\n'\n assert not create","def test_no_delete_permission(client):\n user = user_with_permissions(\"polls.view_poll\")\n poll = Poll.objects.create(owner=user, text=\"question\")\n\n url = reverse(\"admin:polls_poll_change\", args=(poll.pk,))\n delete_url = reverse(\"admin:polls_poll_delete\", args=(poll.pk,))\n client.force_login(user)\n\n response = client.get(url)\n assert delete_url not in response.content.decode()","def test_delete_post():\n\n driver = webdriver.Chrome()\n driver.get('https://cmput404group10.herokuapp.com')\n\n username = driver.find_element_by_id(\"username\")\n username.send_keys(\"ronWeasley\")\n\n password = driver.find_element_by_name(\"password\")\n password.send_keys(\"ualberta123\")\n\n driver.find_element_by_xpath('/html/body/div/div/div/div/div/div/div[2]/div/form/div[3]/button').click()\n\n driver.find_element_by_xpath('//*[@id=\"accordionSidebar\"]/li[2]/a').click()\n assert driver.page_source.__contains__(\"Selenium Test Content\")\n\n driver.find_element_by_link_text('Delete').click()\n\n driver.find_element_by_xpath('//*[@id=\"content\"]/div/form/input[2]').click()\n\n assert not driver.page_source.__contains__(\"Selenium Test Content\")","def test_remove_form(self):\n set_up_one_user(self, 1, 0)\n login = self.client.login(username='test', password='2HJ1vRV0Z&3iD')\n s1 = Search.objects.get(terms_en=\"test0\")\n self.assertEqual(s1.user, self.user)\n response = self.client.post(reverse('index'), {'pk': s1.pk})\n s2 = Search.objects.filter(terms_en=\"test1\")\n self.assertEqual(response.status_code, 302)\n self.assertEqual(len(s2), 0)","def test_publication_view_delete(self):\n \n test_response = self.client.get('/papers/14-3-3-proteins-a-number-of-functions-for-a-numbered-protein/delete/')\n self.assertEqual(test_response.status_code, 200)\n self.assertTrue('publication' in test_response.context) \n self.assertTemplateUsed(test_response, 'confirm_delete.html')\n self.assertEqual(test_response.context['publication'].pk, 1)\n self.assertEqual(test_response.context['publication'].title, u'14-3-3 proteins: a number of functions for a numbered protein.')\n\n #verifies that a non-existent object returns a 404 error.\n null_response = self.client.get('/papers/not-a-real-paper/delete/')\n self.assertEqual(null_response.status_code, 404)","def test_public_status_page_delete_public_status_page(self):\n pass","def test_post_delete_unauthorized(self):\n url = reverse('post-detail', kwargs={'pk': self.post.id})\n response = self.client.delete(url)\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)","def test_delete(self):\n self.client.force_authenticate(user=self.admin)\n\n response = self.client.delete(\n reverse(\n 'retreat:waitqueuenotification-detail',\n kwargs={'pk': 1},\n ),\n )\n\n self.assertEqual(\n response.status_code,\n status.HTTP_405_METHOD_NOT_ALLOWED\n )","def test_edit_button_appears(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertContains(response, self.url)","def test_delete__not_found(self):\n testing_config.sign_in('admin@example.com', 123567890)\n\n with register.app.test_request_context(self.request_path):\n with self.assertRaises(werkzeug.exceptions.NotFound):\n self.handler.do_delete(self.feature_id + 1)\n\n revised_feature = models.Feature.get_by_id(self.feature_id)\n self.assertFalse(revised_feature.deleted)","def test_none_admin_delete(self):\n\n with self.client:\n token = self.customer()\n id = 1\n response = self.client.delete('api/v1/meals/{}'.format(id),\n headers=({\"token\": token}))\n data = json.loads(response.data.decode())\n self.assertEqual(data.get('message'),\n \"Customer is not authorized to access this page\")\n self.assertEqual(response.status_code, 401)","def test_can_not_add_more(self):\n set_up_one_user(self, 1, 0)\n login = self.client.login(username='test', password='2HJ1vRV0Z&3iD')\n response = self.client.get(reverse('index'))\n self.assertEqual(response.status_code, 200)\n self.assertContains(response, '<button id=\"modalButton\" type=\"button\" class=\"btn btn-info\" data-toggle=\"modal\" data-target=\"#myModal\" disabled=\"True\">Add new notification</button>')","def test_delete_view_redirect_anauth_users_to_login_page(self):\n response = self.client.get('/posts/1/delete/')\n self.assertEqual(response.status_code, 302)\n self.assertIn(\"login\", response.url)","def test_delete1(self):\n pass","def test_delete_run(self):\n pass","def test_deleted(self):\n event = Event.objects.all()[0]\n\n todo = TodoItem.objects.create(\n event=event, completed=False, title=\"Test TODO3\",\n due=datetime.date.today(), additional=\"\",\n )\n\n assert todo in event.todoitem_set.all()\n\n self.client.get(reverse('todo_delete', args=[todo.pk]))\n\n assert event.todoitem_set.all().count() == 0","def test_delete_view(self):\n self.client.post(reverse('misago:admin:users:bans:new'), data={\n 'check_type': '0',\n 'banned_value': 'TestBan',\n })\n\n test_ban = Ban.objects.get(banned_value='testban')\n\n response = self.client.post(reverse('misago:admin:users:bans:delete', kwargs={\n 'pk': test_ban.pk\n }))\n self.assertEqual(response.status_code, 302)\n\n response = self.client.get(reverse('misago:admin:users:bans:index'))\n self.client.get(response['location'])\n response = self.client.get(response['location'])\n\n self.assertEqual(response.status_code, 200)\n self.assertNotContains(response, test_ban.banned_value)","def test_not_logged_cannot_delete(self):\n\n utils.test_not_logged_cannot_access(self, self.url)","def test_delete_book(self):\n response = self.client.delete(self.book.get_absolute_url()) \n self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)\n self.assertEqual(Book.objects.count(), 0)","def test_post_delete_logged_in(self):\n url = reverse('post-detail', kwargs={'pk': self.post.id})\n self.client.force_authenticate(user=self.user)\n response = self.client.delete(url)\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)","def test_delete_boat(self):\n pass","def test_empty_ui(self):","def test_delete_item_using_delete(self):\n pass","def test_not_logged_cannot_delete_tab(self):\n\n utils.test_not_logged_cannot_access(self, self.url)","def test_delete_activity_template(self):\n pass","def test_delete7(self):\n pass","def test_add_button_appears(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertContains(response, self.url)","def delete():\n return render_template('layout.html')","def test_delete_link_no_resources(self):\n g = groups.get_by_name(\"fifth group\")\n \n self.open_url('/group/list')\n \n deletelink = self.wd.find_element(By.ID, \"delete-link-{0}\".format(g.id))\n deletelink.click()\n \n alert = self.wd.switch_to_alert()\n self.assertEqual(\"Are you sure you want to remove group {0} (id={1})\".format(g.name, g.id), alert.text)\n alert.accept()\n \n self.assert_notification(\"Group deleted: {0} (id={1})\".format(g.name, g.id))\n self.assert_not_in_list_table(g.name)","def test_security_on_delete(self):\n # test the delete product url\n product = Product.objects.all()[0]\n url = '/product/xml/%s/' % product.item_number\n response = self.client.delete(url)\n self.failUnlessEqual(response.status_code, 401)","def test_before_delete_for_linked_resource(self):\n resource = factories.Resource()\n helpers.call_action(\"resource_delete\", id=resource[\"id\"])\n with pytest.raises(p.toolkit.ObjectNotFound):\n helpers.call_action(\"resource_show\", id=resource[\"id\"])","def test_delete(self, client, users):\n user = users[0]\n url = reverse('users:delete', args=(user.pk,))\n response = client.get(url)\n assert response.status_code == 405\n response = client.post(url)\n assert response.status_code == 302\n assert response.url == reverse('users:list')\n assert not get_user_model().objects.filter(pk=user.pk).exists()","def test_list_none(self):\n self.model.objects.all().delete()\n response = self._get()\n self.assertEquals(response.status_code, 200)\n self.assertTemplateUsed(response, self.template_name)\n self.assertEquals(response.context['object_list'].count(), 0)","def test_delete_patient(self):\n response = self.client.delete(\n reverse('patient:patient-detail', kwargs={'pk': Patient.objects.get().id}))\n self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)\n self.assertEqual(Patient.objects.count(), 0)","def test_delete_confirmation_template(self):\n self.login()\n\n # BlogIndex needs translated pages before child pages can be translated\n self.fr_blog_index = self.en_blog_index.copy_for_translation(self.fr_locale)\n # Create a copy of the en_blog_post object as a translated page\n self.fr_blog_post = self.en_blog_post.copy_for_translation(self.fr_locale)\n\n # Create an alias page to test the `translations_to_move_count`\n # in the template context\n new_page = CreatePageAliasAction(\n self.en_blog_post,\n recursive=False,\n parent=self.en_blog_index,\n update_slug=\"alias-page-slug\",\n user=None,\n )\n new_page.execute(skip_permission_checks=True)\n\n response = self.client.get(\n reverse(\n \"wagtailadmin_pages:delete\",\n args=(self.en_blog_post.id,),\n ),\n follow=True,\n )\n self.assertEqual(response.status_code, 200)\n self.assertEqual(response.context[\"translation_count\"], 1)\n self.assertEqual(response.context[\"translation_descendant_count\"], 0)\n self.assertIn(\n \"Deleting this page will also delete 1 translation of this page.\",\n response.content.decode(\"utf-8\"),\n )","def test_delete_note(self):\n\n url = reverse(\n 'crm-admin:note-delete',\n kwargs={\n 'pk': self.object.id\n }\n )\n\n # Test that the page load first\n response = self.c.get(url)\n self.assertEqual(response.status_code, 200)\n\n # Action detail with POST call\n response = self.c.post(url)\n self.assertEqual(response.status_code, 302)\n\n # Test that the record has been deleted\n obj = Note.objects.filter(id=self.object.id)\n self.assertEqual(obj.count(), 0)","def test_plusrecors_delete(self):\n f = FlatPage.objects.create(title = 'f',\n url = '/minus/upload/plus/done/',\n content = 'flapi')\n self.go200('minus_plus_upload')\n self.formfile('minus_plus_upload', 'file', AUDIO_FILE)\n self.submit200()\n self.url('minus_plus_upload_done')\n self.find('flapi')\n self.go200('minus_plus_upload')\n self.formfile('minus_plus_upload', 'file', AUDIO_FILE)\n self.submit200()\n self.assert_equal(MinusPlusRecord.objects.count(), 2)\n self.go200('minus_upload')\n self.formfile('minus_upload', 'file', AUDIO_FILE)\n self.submit200()\n self.find('Плюс')\n m = MinusRecord.objects.all()[0]\n p = MinusPlusRecord.objects.all()[0]\n self.assert_equal(p.minus , m)\n self.assert_equal(MinusPlusRecord.objects.count(), 1)\n self.go200('plus_delete', [p.id])\n self.fv('object_delete','__confirm__', 1)\n self.submit200()\n self.assert_equal(MinusPlusRecord.objects.count(), 0)","def test_no_delete_entry_on_rebuild_server_response(self):\n self.validate_no_deletes_entry_returned()","def test_delete_case(self):\n pass","def test_no_tagged_trait_remove_button(self):\n tagged_traits = TaggedTraitFactory.create_batch(3, trait=self.trait)\n response = self.client.get(self.get_url(self.trait.pk))\n context = response.context\n for (a, b) in context['tagged_traits_with_xs']:\n self.assertFalse(b)\n for tt in tagged_traits:\n self.assertNotContains(response, reverse('tags:tagged-traits:pk:delete', kwargs={'pk': tt.pk}))","def test_01_admin_index(self):\r\n self.register()\r\n res = self.app.get(\"/admin\", follow_redirects=True)\r\n dom = BeautifulSoup(res.data)\r\n err_msg = \"There should be an index page for admin users and apps\"\r\n assert \"Settings\" in res.data, err_msg\r\n divs = ['featured-apps', 'users', 'categories', 'users-list']\r\n for div in divs:\r\n err_msg = \"There should be a button for managing %s\" % div\r\n assert dom.find(id=div) is not None, err_msg","def test_delete_detail_unauthenticated(self):\n story = create_story(title=\"Test Story\", summary=\"Test Summary\",\n byline=\"Test Byline\", status=\"published\",\n language=\"en\", author=self.user)\n layout = SectionLayout.objects.get(sectionlayouttranslation__name=\"Side by Side\")\n container1 = Container.objects.get(name='left')\n container2 = Container.objects.get(name='right')\n section = create_section(title=\"Test Section 1\", story=story,\n layout=layout)\n self.assertEqual(Section.objects.filter(story=story).count(), 1)\n uri = '/api/0.1/stories/%s/sections/%s/' % (story.story_id,\n section.section_id)\n resp = self.api_client.delete(uri)\n self.assertHttpUnauthorized(resp)\n self.assertEqual(Section.objects.filter(story=story).count(), 1)\n self.assertEqual(\n Section.objects.filter(section_id=section.section_id).count(),\n 1)","def assert_can_delete(selenium, obj, can_delete):\n info_page = _get_ui_service(selenium, obj=obj).open_info_page_of_obj(obj)\n assert info_page.three_bbs.delete_option.exists == can_delete\n if can_delete:\n info_page.three_bbs.select_delete().confirm_delete()\n selenium_utils.open_url(obj.url)\n assert ui_utils.is_error_404()","def test_not_creator_cannot_delete_tab(self):\n\n logged_user = utils.create_user_and_authenticate(self)\n self.group.users.add(logged_user)\n expected_url = reverse('group_view', args=(self.group.pk,))\n\n utils.test_cannot_access(self, self.url, expected_url)\n self.assertEqual(len(Tab.objects.all()), 1)","def test_delete__DeleteForm__2(search_data, browser):\n browser.login('mgr')\n browser.keyword_search('church', 'Delete')\n # Seleting the `cancel` button leads to the person list without deleting\n # anybody:\n browser.getControl('No, cancel').click()\n assert 'Deletion canceled.' == browser.message\n assert browser.PERSONS_LIST_URL == browser.url\n assert 'Koch' in browser.contents\n assert 'Liebig' in browser.contents\n assert 'Velleuer' in browser.contents","def test_delete__forbidden(self):\n testing_config.sign_in('one@example.com', 123567890)\n\n with register.app.test_request_context(self.request_path):\n with self.assertRaises(werkzeug.exceptions.Forbidden):\n self.handler.do_delete(self.feature_id)\n\n revised_feature = models.Feature.get_by_id(self.feature_id)\n self.assertFalse(revised_feature.deleted)","def delete(request):\n return render(request, 'modify.html')","def test_dashboards_v2_delete(self):\n pass","def test_deleting_post(self):\n\n delete_post(1)\n post = Post.query.get(1)\n self.assertEqual(post, None)","def test_client_delete_view(self):\r\n response = self.test_client.post(\r\n reverse('client_delete', kwargs={'pk': self.client1_id}))\r\n self.assertEqual(response.status_code, 302)\r\n self.assertRaises(ObjectDoesNotExist,\r\n Client.objects.get,\r\n id=self.client1_id)","def test_delete_not_my_product(self):\n self._require_login(self.user1)\n response = self.client.delete('/api/1.0/products/2/')\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)","def test_delete_detail_unauthorized(self):\n story = create_story(title=\"Test Story\", summary=\"Test Summary\",\n byline=\"Test Byline\", status=\"published\",\n language=\"en\", author=self.user2)\n layout = SectionLayout.objects.get(sectionlayouttranslation__name=\"Side by Side\")\n container1 = Container.objects.get(name='left')\n container2 = Container.objects.get(name='right')\n section = create_section(title=\"Test Section 1\", story=story,\n layout=layout)\n self.assertEqual(Section.objects.filter(story=story).count(), 1)\n self.api_client.client.login(username=self.username,\n password=self.password)\n uri = '/api/0.1/stories/%s/sections/%s/' % (story.story_id,\n section.section_id)\n resp = self.api_client.delete(uri)\n self.assertHttpUnauthorized(resp)\n self.assertEqual(Section.objects.filter(story=story).count(), 1)\n self.assertEqual(\n Section.objects.filter(section_id=section.section_id).count(),\n 1)","def test_admin_index(self):\n response = self.client.get('/admin/')\n self.assertEqual(response.status_code, 200)\n self.assertContains(response, \"Djrill\")","def test_delete_ingredient(self):\n ingredient = Ingredient.objects.create(user=self.user, name='Lettuce')\n url = detail_url(ingredient.id)\n res = self.client.delete(url)\n\n self.assertEqual(res.status_code, status.HTTP_204_NO_CONTENT)\n ingredients = Ingredient.objects.filter(user=self.user)\n self.assertFalse(ingredients.exists())","def test_author_delete_post(self):\n self.client.login(username=\"John\", password=\"newpass1234\")\n response = self.client.post('/posts/1/delete/')\n self.assertEqual(list(Post.objects.filter(id=1)), [])","def test_delete_user_does_not_exists(self, client, users):\n user = users[0]\n url = reverse('users:delete', args=(user.pk + 100,))\n response = client.post(url)\n assert response.status_code == 404","def test_method_excludes(self):\n self.assertContains(self.response, \"<td>get_full_name</td>\")\n self.assertNotContains(self.response, \"<td>_get_full_name</td>\")\n self.assertNotContains(self.response, \"<td>add_image</td>\")\n self.assertNotContains(self.response, \"<td>delete_image</td>\")\n self.assertNotContains(self.response, \"<td>set_status</td>\")\n self.assertNotContains(self.response, \"<td>save_changes</td>\")","def test_delete_no_target(self):\n # login as library manager\n self.authenticate(self.user)\n\n # remove all works\n Work.objects.all().delete()\n\n # prune works\n response = self.client.delete(self.url)\n\n # check http status\n self.assertEqual(response.status_code, status.HTTP_200_OK)\n\n # check the response\n self.assertDictEqual(response.data, {\"deleted_count\": 0})","def test_post_deletion_unauthenticated(self):\n url = reverse(\n 'post-detail',\n args=[\n self.topic1.url_name,\n self.post1.id\n ]\n )\n response = self.client.delete(url)\n\n self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)\n deleted_post = Post.objects.filter(\n id=self.post1.id,\n )\n self.assertTrue(deleted_post.exists())","def delete():\n click.echo('delete was called.')","def test_api_can_delete_post(self):\n post = Post.objects.get()\n response = self.client.delete(\n reverse('details', kwargs={'pk': post.id}),\n format='json',\n follow=True)\n\n self.assertEquals(response.status_code, status.HTTP_204_NO_CONTENT)","def test_api_can_delete_post(self):\n post = Post.objects.get()\n response = self.client.delete(\n reverse('details', kwargs={'pk': post.id}),\n format='json',\n follow=True)\n\n self.assertEquals(response.status_code, status.HTTP_204_NO_CONTENT)","def test_delete_device_template(self):\n pass","def test_xml_template_delete(self):\n XmlTemplate.delete_by_id(1)\n self.assertEqual(XmlTemplate.objects.count(), 1)\n self.assertFalse(XmlTemplate.objects.filter(pk=1).exists())","def test_delete_collection(self):\n pass","def test07_remove_first_student_with_admin(self):\n print(self.students_page.students_table())\n first_student = self.students_page.students_table()[0]\n students_list_without_first_student = self.students_page.\\\n click_edit_students_list_button().\\\n click_delete_first_student_button().\\\n click_exit_students_list_editor_button().\\\n students_table()\n self.assertEqual(self.main_page.get_current_url(),\n data['expected_url'])\n self.assertNotIn(first_student,\n students_list_without_first_student)","def test_delete(self):\r\n course = CourseFactory.create(org='edX', course='999')\r\n with self.assertRaises(ValueError):\r\n tabs.primitive_delete(course, 0)\r\n with self.assertRaises(ValueError):\r\n tabs.primitive_delete(course, 1)\r\n with self.assertRaises(IndexError):\r\n tabs.primitive_delete(course, 6)\r\n tabs.primitive_delete(course, 2)\r\n self.assertFalse({u'type': u'textbooks'} in course.tabs)\r\n # Check that discussion has shifted up\r\n self.assertEquals(course.tabs[2], {'type': 'discussion', 'name': 'Discussion'})","def test_delete__DeleteForm__1(search_data, UserFactory, browser):\n address_book = search_data\n # Create a user -- the person of a user cannot be deleted using this search\n # result handler.\n UserFactory(address_book, u'Ben', u'Utzer', u'ben@example.com',\n u'12345678', [], keywords=[u'church'])\n browser.login('mgr')\n browser.keyword_search('church')\n # Only the selected persons get deleted. Deselected persons will not:\n browser.getControl(name='persons:list').getControl(\n value=\"Person-2\").selected = False # This this the person named \"Koch\"\n browser.getControl('Apply on selected persons').displayValue = [\n 'Delete']\n browser.getControl(name='form.buttons.apply').click()\n # The number of persons for deletion is shown on the question screen:\n # (There are 3 persons with the church keyword in the fixture, one got\n # deselected but there is additionally a newly created user.\n assert ['3'] == browser.etree.xpath(\n '//span[@id=\"form-widgets-count\"]/text()')\n assert ('You are not able to delete a person who is referenced.'\n in browser.contents)\n assert browser.SEARCH_DELETE_URL == browser.url\n browser.getControl('Yes, delete').click()\n assert 'Selected persons deleted: 2' == browser.message\n assert browser.PERSONS_LIST_URL == browser.url\n # Only the two non-users got deleted:\n assert 'Koch' in browser.contents\n assert 'Utzer' in browser.contents\n assert 'Liebig' not in browser.contents\n assert 'Velleuer' not in browser.contents","def test_delete_idea_invalid_id(self):\n self.newidea()\n rv = self.app.post('/delete/idea/35',\n data=dict(confirm=True),\n follow_redirects=True)\n self.assertIn(b'Idea does not exist', rv.data)","def test_remove(self):\n pass","def test_delete_view_redirect_anauth_users_to_login_page(self):\n response = self.client.get('/groups/new_group/delete/')\n self.assertEqual(response.status_code, 302)\n self.assertIn(\"login\", response.url)","def test_delete__not_found(self):\n testing_config.sign_in('admin@example.com', 123567890)\n\n with test_app.test_request_context(self.request_path):\n with self.assertRaises(werkzeug.exceptions.NotFound):\n self.handler.do_delete(account_id=self.appuser_id + 1)\n\n unrevised_appuser = user_models.AppUser.get_by_id(self.appuser_id)\n self.assertEqual('user@example.com', unrevised_appuser.email)","def test_delete_author_unlogged(self):\n request = self.client.delete(self.epoint)\n self.assertEqual(request.status_code, status.HTTP_403_FORBIDDEN)","def test_destroy_not_owner(self):\n\n self.assertEqual(first=1, second=Post.objects.all().count())\n url = reverse('post-detail', args=(self.post.id,))\n self.client.credentials(HTTP_AUTHORIZATION=self.token_1)\n response = self.client.delete(path=url)\n self.assertEqual(first=403, second=response.status_code)\n self.assertEqual(first=1, second=Post.objects.all().count())","def test_404_delete_question(self):\n\n res = self.client().get('/qustions/100')\n\n data = json.loads(res.data)\n\n self.assertEqual(res.status_code, 404)\n self.assertEqual(data['success'], False)\n self.assertEqual(data['error'], 404)\n self.assertEqual(data['message'], \"resource not found\")","def test_delete_post_by_user(self):\n\n response = self.client.delete(reverse('api:posts-detail', kwargs={'pk': self.post1.id}))\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)","def test_index_delete(self):\n a = self.test_index()\n a.delete()\n es = self.es\n es.refresh()\n r = es.search(query=StringQuery('zool'))\n eq_(r['hits']['total'], 0, \"We shouldn't get any hits.\")","def test_delete_record(self):\n pass","def test_delete_non_existing_resource(self):\n CommonTestCases.admin_token_assert_in(\n self,\n delete_assigned_resource_from_non_existing_resource,\n \"Resource does not exist\"\n )"],"string":"[\n \"def test_delete_button_appears_index(self):\\n response = self.client.get(reverse('wagtailnews:index', kwargs={\\n 'pk': self.index.pk}))\\n self.assertContains(response, self.url)\",\n \"def test_no_delete_button_appears_edit(self):\\n response = self.client.get(reverse('wagtailnews:edit', kwargs={\\n 'pk': self.index.pk, 'newsitem_pk': self.newsitem.pk}))\\n self.assertNotContains(response, self.url)\",\n \"def test_delete_custom_button(self):\\n pass\",\n \"def test_delete_button_appears_edit(self):\\n response = self.client.get(reverse('wagtailnews:edit', kwargs={\\n 'pk': self.index.pk, 'newsitem_pk': self.newsitem.pk}))\\n self.assertContains(response, self.url)\",\n \"def test_no_edit_button_appears(self):\\n response = self.client.get(reverse('wagtailnews:index', kwargs={\\n 'pk': self.index.pk}))\\n self.assertNotContains(response, self.url)\",\n \"def test_no_add_button_appears(self):\\n response = self.client.get(reverse('wagtailnews:index', kwargs={\\n 'pk': self.index.pk}))\\n self.assertNotContains(response, self.url)\",\n \"def test_that_not_logged_in_does_not_shows_edit_button(testapp):\\n html = testapp.get('/journal/1').html\\n assert not html.find('main').a\",\n \"def test_error_html_using_delete(self):\\n pass\",\n \"def test_commentary_view_delete(self):\\n \\n test_response = self.client.get('/papers/commentary/1/delete')\\n self.assertEqual(test_response.status_code, 200)\\n self.assertTrue('object' in test_response.context) \\n self.assertTemplateUsed(test_response, 'base.html')\\n self.assertTemplateUsed(test_response, 'confirm_delete.html')\",\n \"def test_delete(self):\\n pass\",\n \"def test_delete_but_no_view_permission(client):\\n user = user_with_permissions(\\\"polls.delete_poll\\\")\\n\\n url = reverse(\\\"admin:index\\\")\\n client.force_login(user)\\n\\n response = client.get(url)\\n assert parse_sidemenu(response) == {\\\"Global\\\": [\\\"/en/admin/\\\"], \\\"Polls\\\": [None]}\",\n \"def test_delete__DeleteForm__4(address_book, browser, role):\\n browser.login(role)\\n browser.assert_forbidden(browser.SEARCH_DELETE_URL)\",\n \"def test_no_tagging_button(self):\\n response = self.client.get(self.get_url(self.trait.pk))\\n context = response.context\\n self.assertNotContains(response, reverse('trait_browser:source:traits:tagging', kwargs={'pk': self.trait.pk}))\\n self.assertFalse(context['show_tag_button'])\",\n \"def test_delete(admin_client):\\n book = BookFactory()\\n url = reverse(\\\"admin:books_book_delete\\\", args=(book.pk,))\\n\\n response = admin_client.get(url)\\n templates_used = [t.name for t in response.templates]\\n\\n assert response.status_code == 200\\n render_counts = {x: templates_used.count(x) for x in set(templates_used)}\\n\\n # The number of times each template was rendered\\n assert render_counts == {\\n \\\"admin/delete_confirmation.html\\\": 1,\\n \\\"admin/base_site.html\\\": 1,\\n \\\"admin/base.html\\\": 1,\\n \\\"admin/includes/object_delete_summary.html\\\": 1,\\n \\\"jazzmin/includes/ui_builder_panel.html\\\": 1,\\n }\\n\\n # The templates that were used\\n assert set(templates_used) == {\\n \\\"admin/delete_confirmation.html\\\",\\n \\\"admin/base_site.html\\\",\\n \\\"admin/base.html\\\",\\n \\\"admin/includes/object_delete_summary.html\\\",\\n \\\"jazzmin/includes/ui_builder_panel.html\\\",\\n }\\n\\n response = admin_client.post(url, data={\\\"post\\\": \\\"yes\\\"}, follow=True)\\n\\n # We deleted our object, and are now back on the changelist\\n assert not Book.objects.all().exists()\\n assert response.resolver_match.url_name == \\\"books_book_changelist\\\"\",\n \"def test_delete_permission(self):\\r\\n self.assertFalse(self.creator_admin.has_delete_permission(self.request))\",\n \"def test_unpublish_button_appears(self):\\n response = self.client.get(reverse('wagtailnews:index', kwargs={\\n 'pk': self.index.pk}))\\n self.assertContains(response, self.url)\",\n \"def test_post_delete_admin(self):\\n url = reverse('post-detail', kwargs={'pk': self.post.id})\\n self.client.force_authenticate(user=self.superuser)\\n response = self.client.delete(url)\\n self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)\",\n \"def test_delete_view_without_next_redirects_to_group_page(self):\\n self.client.login(username=\\\"John\\\", password=\\\"newpass1234\\\")\\n response = self.client.post('/posts/1/delete/')\\n self.assertIn(\\\"group\\\", response.url)\",\n \"def test_not_author_delete_post(self):\\n self.client.login(username=\\\"Bill\\\", password=\\\"newpass1234\\\")\\n response = self.client.post('/posts/1/delete/', {\\\"next\\\": \\\"\\\"})\\n self.assertNotEqual(list(Post.objects.filter(id=1)), [])\",\n \"def test_no_unpublish_button_appears(self):\\n response = self.client.get(reverse('wagtailnews:index', kwargs={\\n 'pk': self.index.pk}))\\n self.assertNotContains(response, self.url)\",\n \"def test_delete_idea_not_confirm(self):\\n self.newidea()\\n rv = self.app.post('/delete/idea/1',\\n data=dict(),\\n follow_redirects=True)\\n self.assertIn(b'required', rv.data)\",\n \"def test_homepage_has_correct_buttons_showing_when_not_logged_in(testapp):\\n html = testapp.get('/').html\\n logout = html.find(class_=\\\"navbar-right\\\").text\\n create = html.find(href=\\\"http://localhost/journal/new-entry\\\")\\n assert logout == '\\\\n Login\\\\n'\\n assert not create\",\n \"def test_no_delete_permission(client):\\n user = user_with_permissions(\\\"polls.view_poll\\\")\\n poll = Poll.objects.create(owner=user, text=\\\"question\\\")\\n\\n url = reverse(\\\"admin:polls_poll_change\\\", args=(poll.pk,))\\n delete_url = reverse(\\\"admin:polls_poll_delete\\\", args=(poll.pk,))\\n client.force_login(user)\\n\\n response = client.get(url)\\n assert delete_url not in response.content.decode()\",\n \"def test_delete_post():\\n\\n driver = webdriver.Chrome()\\n driver.get('https://cmput404group10.herokuapp.com')\\n\\n username = driver.find_element_by_id(\\\"username\\\")\\n username.send_keys(\\\"ronWeasley\\\")\\n\\n password = driver.find_element_by_name(\\\"password\\\")\\n password.send_keys(\\\"ualberta123\\\")\\n\\n driver.find_element_by_xpath('/html/body/div/div/div/div/div/div/div[2]/div/form/div[3]/button').click()\\n\\n driver.find_element_by_xpath('//*[@id=\\\"accordionSidebar\\\"]/li[2]/a').click()\\n assert driver.page_source.__contains__(\\\"Selenium Test Content\\\")\\n\\n driver.find_element_by_link_text('Delete').click()\\n\\n driver.find_element_by_xpath('//*[@id=\\\"content\\\"]/div/form/input[2]').click()\\n\\n assert not driver.page_source.__contains__(\\\"Selenium Test Content\\\")\",\n \"def test_remove_form(self):\\n set_up_one_user(self, 1, 0)\\n login = self.client.login(username='test', password='2HJ1vRV0Z&3iD')\\n s1 = Search.objects.get(terms_en=\\\"test0\\\")\\n self.assertEqual(s1.user, self.user)\\n response = self.client.post(reverse('index'), {'pk': s1.pk})\\n s2 = Search.objects.filter(terms_en=\\\"test1\\\")\\n self.assertEqual(response.status_code, 302)\\n self.assertEqual(len(s2), 0)\",\n \"def test_publication_view_delete(self):\\n \\n test_response = self.client.get('/papers/14-3-3-proteins-a-number-of-functions-for-a-numbered-protein/delete/')\\n self.assertEqual(test_response.status_code, 200)\\n self.assertTrue('publication' in test_response.context) \\n self.assertTemplateUsed(test_response, 'confirm_delete.html')\\n self.assertEqual(test_response.context['publication'].pk, 1)\\n self.assertEqual(test_response.context['publication'].title, u'14-3-3 proteins: a number of functions for a numbered protein.')\\n\\n #verifies that a non-existent object returns a 404 error.\\n null_response = self.client.get('/papers/not-a-real-paper/delete/')\\n self.assertEqual(null_response.status_code, 404)\",\n \"def test_public_status_page_delete_public_status_page(self):\\n pass\",\n \"def test_post_delete_unauthorized(self):\\n url = reverse('post-detail', kwargs={'pk': self.post.id})\\n response = self.client.delete(url)\\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)\",\n \"def test_delete(self):\\n self.client.force_authenticate(user=self.admin)\\n\\n response = self.client.delete(\\n reverse(\\n 'retreat:waitqueuenotification-detail',\\n kwargs={'pk': 1},\\n ),\\n )\\n\\n self.assertEqual(\\n response.status_code,\\n status.HTTP_405_METHOD_NOT_ALLOWED\\n )\",\n \"def test_edit_button_appears(self):\\n response = self.client.get(reverse('wagtailnews:index', kwargs={\\n 'pk': self.index.pk}))\\n self.assertContains(response, self.url)\",\n \"def test_delete__not_found(self):\\n testing_config.sign_in('admin@example.com', 123567890)\\n\\n with register.app.test_request_context(self.request_path):\\n with self.assertRaises(werkzeug.exceptions.NotFound):\\n self.handler.do_delete(self.feature_id + 1)\\n\\n revised_feature = models.Feature.get_by_id(self.feature_id)\\n self.assertFalse(revised_feature.deleted)\",\n \"def test_none_admin_delete(self):\\n\\n with self.client:\\n token = self.customer()\\n id = 1\\n response = self.client.delete('api/v1/meals/{}'.format(id),\\n headers=({\\\"token\\\": token}))\\n data = json.loads(response.data.decode())\\n self.assertEqual(data.get('message'),\\n \\\"Customer is not authorized to access this page\\\")\\n self.assertEqual(response.status_code, 401)\",\n \"def test_can_not_add_more(self):\\n set_up_one_user(self, 1, 0)\\n login = self.client.login(username='test', password='2HJ1vRV0Z&3iD')\\n response = self.client.get(reverse('index'))\\n self.assertEqual(response.status_code, 200)\\n self.assertContains(response, '<button id=\\\"modalButton\\\" type=\\\"button\\\" class=\\\"btn btn-info\\\" data-toggle=\\\"modal\\\" data-target=\\\"#myModal\\\" disabled=\\\"True\\\">Add new notification</button>')\",\n \"def test_delete_view_redirect_anauth_users_to_login_page(self):\\n response = self.client.get('/posts/1/delete/')\\n self.assertEqual(response.status_code, 302)\\n self.assertIn(\\\"login\\\", response.url)\",\n \"def test_delete1(self):\\n pass\",\n \"def test_delete_run(self):\\n pass\",\n \"def test_deleted(self):\\n event = Event.objects.all()[0]\\n\\n todo = TodoItem.objects.create(\\n event=event, completed=False, title=\\\"Test TODO3\\\",\\n due=datetime.date.today(), additional=\\\"\\\",\\n )\\n\\n assert todo in event.todoitem_set.all()\\n\\n self.client.get(reverse('todo_delete', args=[todo.pk]))\\n\\n assert event.todoitem_set.all().count() == 0\",\n \"def test_delete_view(self):\\n self.client.post(reverse('misago:admin:users:bans:new'), data={\\n 'check_type': '0',\\n 'banned_value': 'TestBan',\\n })\\n\\n test_ban = Ban.objects.get(banned_value='testban')\\n\\n response = self.client.post(reverse('misago:admin:users:bans:delete', kwargs={\\n 'pk': test_ban.pk\\n }))\\n self.assertEqual(response.status_code, 302)\\n\\n response = self.client.get(reverse('misago:admin:users:bans:index'))\\n self.client.get(response['location'])\\n response = self.client.get(response['location'])\\n\\n self.assertEqual(response.status_code, 200)\\n self.assertNotContains(response, test_ban.banned_value)\",\n \"def test_not_logged_cannot_delete(self):\\n\\n utils.test_not_logged_cannot_access(self, self.url)\",\n \"def test_delete_book(self):\\n response = self.client.delete(self.book.get_absolute_url()) \\n self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)\\n self.assertEqual(Book.objects.count(), 0)\",\n \"def test_post_delete_logged_in(self):\\n url = reverse('post-detail', kwargs={'pk': self.post.id})\\n self.client.force_authenticate(user=self.user)\\n response = self.client.delete(url)\\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)\",\n \"def test_delete_boat(self):\\n pass\",\n \"def test_empty_ui(self):\",\n \"def test_delete_item_using_delete(self):\\n pass\",\n \"def test_not_logged_cannot_delete_tab(self):\\n\\n utils.test_not_logged_cannot_access(self, self.url)\",\n \"def test_delete_activity_template(self):\\n pass\",\n \"def test_delete7(self):\\n pass\",\n \"def test_add_button_appears(self):\\n response = self.client.get(reverse('wagtailnews:index', kwargs={\\n 'pk': self.index.pk}))\\n self.assertContains(response, self.url)\",\n \"def delete():\\n return render_template('layout.html')\",\n \"def test_delete_link_no_resources(self):\\n g = groups.get_by_name(\\\"fifth group\\\")\\n \\n self.open_url('/group/list')\\n \\n deletelink = self.wd.find_element(By.ID, \\\"delete-link-{0}\\\".format(g.id))\\n deletelink.click()\\n \\n alert = self.wd.switch_to_alert()\\n self.assertEqual(\\\"Are you sure you want to remove group {0} (id={1})\\\".format(g.name, g.id), alert.text)\\n alert.accept()\\n \\n self.assert_notification(\\\"Group deleted: {0} (id={1})\\\".format(g.name, g.id))\\n self.assert_not_in_list_table(g.name)\",\n \"def test_security_on_delete(self):\\n # test the delete product url\\n product = Product.objects.all()[0]\\n url = '/product/xml/%s/' % product.item_number\\n response = self.client.delete(url)\\n self.failUnlessEqual(response.status_code, 401)\",\n \"def test_before_delete_for_linked_resource(self):\\n resource = factories.Resource()\\n helpers.call_action(\\\"resource_delete\\\", id=resource[\\\"id\\\"])\\n with pytest.raises(p.toolkit.ObjectNotFound):\\n helpers.call_action(\\\"resource_show\\\", id=resource[\\\"id\\\"])\",\n \"def test_delete(self, client, users):\\n user = users[0]\\n url = reverse('users:delete', args=(user.pk,))\\n response = client.get(url)\\n assert response.status_code == 405\\n response = client.post(url)\\n assert response.status_code == 302\\n assert response.url == reverse('users:list')\\n assert not get_user_model().objects.filter(pk=user.pk).exists()\",\n \"def test_list_none(self):\\n self.model.objects.all().delete()\\n response = self._get()\\n self.assertEquals(response.status_code, 200)\\n self.assertTemplateUsed(response, self.template_name)\\n self.assertEquals(response.context['object_list'].count(), 0)\",\n \"def test_delete_patient(self):\\n response = self.client.delete(\\n reverse('patient:patient-detail', kwargs={'pk': Patient.objects.get().id}))\\n self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)\\n self.assertEqual(Patient.objects.count(), 0)\",\n \"def test_delete_confirmation_template(self):\\n self.login()\\n\\n # BlogIndex needs translated pages before child pages can be translated\\n self.fr_blog_index = self.en_blog_index.copy_for_translation(self.fr_locale)\\n # Create a copy of the en_blog_post object as a translated page\\n self.fr_blog_post = self.en_blog_post.copy_for_translation(self.fr_locale)\\n\\n # Create an alias page to test the `translations_to_move_count`\\n # in the template context\\n new_page = CreatePageAliasAction(\\n self.en_blog_post,\\n recursive=False,\\n parent=self.en_blog_index,\\n update_slug=\\\"alias-page-slug\\\",\\n user=None,\\n )\\n new_page.execute(skip_permission_checks=True)\\n\\n response = self.client.get(\\n reverse(\\n \\\"wagtailadmin_pages:delete\\\",\\n args=(self.en_blog_post.id,),\\n ),\\n follow=True,\\n )\\n self.assertEqual(response.status_code, 200)\\n self.assertEqual(response.context[\\\"translation_count\\\"], 1)\\n self.assertEqual(response.context[\\\"translation_descendant_count\\\"], 0)\\n self.assertIn(\\n \\\"Deleting this page will also delete 1 translation of this page.\\\",\\n response.content.decode(\\\"utf-8\\\"),\\n )\",\n \"def test_delete_note(self):\\n\\n url = reverse(\\n 'crm-admin:note-delete',\\n kwargs={\\n 'pk': self.object.id\\n }\\n )\\n\\n # Test that the page load first\\n response = self.c.get(url)\\n self.assertEqual(response.status_code, 200)\\n\\n # Action detail with POST call\\n response = self.c.post(url)\\n self.assertEqual(response.status_code, 302)\\n\\n # Test that the record has been deleted\\n obj = Note.objects.filter(id=self.object.id)\\n self.assertEqual(obj.count(), 0)\",\n \"def test_plusrecors_delete(self):\\n f = FlatPage.objects.create(title = 'f',\\n url = '/minus/upload/plus/done/',\\n content = 'flapi')\\n self.go200('minus_plus_upload')\\n self.formfile('minus_plus_upload', 'file', AUDIO_FILE)\\n self.submit200()\\n self.url('minus_plus_upload_done')\\n self.find('flapi')\\n self.go200('minus_plus_upload')\\n self.formfile('minus_plus_upload', 'file', AUDIO_FILE)\\n self.submit200()\\n self.assert_equal(MinusPlusRecord.objects.count(), 2)\\n self.go200('minus_upload')\\n self.formfile('minus_upload', 'file', AUDIO_FILE)\\n self.submit200()\\n self.find('Плюс')\\n m = MinusRecord.objects.all()[0]\\n p = MinusPlusRecord.objects.all()[0]\\n self.assert_equal(p.minus , m)\\n self.assert_equal(MinusPlusRecord.objects.count(), 1)\\n self.go200('plus_delete', [p.id])\\n self.fv('object_delete','__confirm__', 1)\\n self.submit200()\\n self.assert_equal(MinusPlusRecord.objects.count(), 0)\",\n \"def test_no_delete_entry_on_rebuild_server_response(self):\\n self.validate_no_deletes_entry_returned()\",\n \"def test_delete_case(self):\\n pass\",\n \"def test_no_tagged_trait_remove_button(self):\\n tagged_traits = TaggedTraitFactory.create_batch(3, trait=self.trait)\\n response = self.client.get(self.get_url(self.trait.pk))\\n context = response.context\\n for (a, b) in context['tagged_traits_with_xs']:\\n self.assertFalse(b)\\n for tt in tagged_traits:\\n self.assertNotContains(response, reverse('tags:tagged-traits:pk:delete', kwargs={'pk': tt.pk}))\",\n \"def test_01_admin_index(self):\\r\\n self.register()\\r\\n res = self.app.get(\\\"/admin\\\", follow_redirects=True)\\r\\n dom = BeautifulSoup(res.data)\\r\\n err_msg = \\\"There should be an index page for admin users and apps\\\"\\r\\n assert \\\"Settings\\\" in res.data, err_msg\\r\\n divs = ['featured-apps', 'users', 'categories', 'users-list']\\r\\n for div in divs:\\r\\n err_msg = \\\"There should be a button for managing %s\\\" % div\\r\\n assert dom.find(id=div) is not None, err_msg\",\n \"def test_delete_detail_unauthenticated(self):\\n story = create_story(title=\\\"Test Story\\\", summary=\\\"Test Summary\\\",\\n byline=\\\"Test Byline\\\", status=\\\"published\\\",\\n language=\\\"en\\\", author=self.user)\\n layout = SectionLayout.objects.get(sectionlayouttranslation__name=\\\"Side by Side\\\")\\n container1 = Container.objects.get(name='left')\\n container2 = Container.objects.get(name='right')\\n section = create_section(title=\\\"Test Section 1\\\", story=story,\\n layout=layout)\\n self.assertEqual(Section.objects.filter(story=story).count(), 1)\\n uri = '/api/0.1/stories/%s/sections/%s/' % (story.story_id,\\n section.section_id)\\n resp = self.api_client.delete(uri)\\n self.assertHttpUnauthorized(resp)\\n self.assertEqual(Section.objects.filter(story=story).count(), 1)\\n self.assertEqual(\\n Section.objects.filter(section_id=section.section_id).count(),\\n 1)\",\n \"def assert_can_delete(selenium, obj, can_delete):\\n info_page = _get_ui_service(selenium, obj=obj).open_info_page_of_obj(obj)\\n assert info_page.three_bbs.delete_option.exists == can_delete\\n if can_delete:\\n info_page.three_bbs.select_delete().confirm_delete()\\n selenium_utils.open_url(obj.url)\\n assert ui_utils.is_error_404()\",\n \"def test_not_creator_cannot_delete_tab(self):\\n\\n logged_user = utils.create_user_and_authenticate(self)\\n self.group.users.add(logged_user)\\n expected_url = reverse('group_view', args=(self.group.pk,))\\n\\n utils.test_cannot_access(self, self.url, expected_url)\\n self.assertEqual(len(Tab.objects.all()), 1)\",\n \"def test_delete__DeleteForm__2(search_data, browser):\\n browser.login('mgr')\\n browser.keyword_search('church', 'Delete')\\n # Seleting the `cancel` button leads to the person list without deleting\\n # anybody:\\n browser.getControl('No, cancel').click()\\n assert 'Deletion canceled.' == browser.message\\n assert browser.PERSONS_LIST_URL == browser.url\\n assert 'Koch' in browser.contents\\n assert 'Liebig' in browser.contents\\n assert 'Velleuer' in browser.contents\",\n \"def test_delete__forbidden(self):\\n testing_config.sign_in('one@example.com', 123567890)\\n\\n with register.app.test_request_context(self.request_path):\\n with self.assertRaises(werkzeug.exceptions.Forbidden):\\n self.handler.do_delete(self.feature_id)\\n\\n revised_feature = models.Feature.get_by_id(self.feature_id)\\n self.assertFalse(revised_feature.deleted)\",\n \"def delete(request):\\n return render(request, 'modify.html')\",\n \"def test_dashboards_v2_delete(self):\\n pass\",\n \"def test_deleting_post(self):\\n\\n delete_post(1)\\n post = Post.query.get(1)\\n self.assertEqual(post, None)\",\n \"def test_client_delete_view(self):\\r\\n response = self.test_client.post(\\r\\n reverse('client_delete', kwargs={'pk': self.client1_id}))\\r\\n self.assertEqual(response.status_code, 302)\\r\\n self.assertRaises(ObjectDoesNotExist,\\r\\n Client.objects.get,\\r\\n id=self.client1_id)\",\n \"def test_delete_not_my_product(self):\\n self._require_login(self.user1)\\n response = self.client.delete('/api/1.0/products/2/')\\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)\",\n \"def test_delete_detail_unauthorized(self):\\n story = create_story(title=\\\"Test Story\\\", summary=\\\"Test Summary\\\",\\n byline=\\\"Test Byline\\\", status=\\\"published\\\",\\n language=\\\"en\\\", author=self.user2)\\n layout = SectionLayout.objects.get(sectionlayouttranslation__name=\\\"Side by Side\\\")\\n container1 = Container.objects.get(name='left')\\n container2 = Container.objects.get(name='right')\\n section = create_section(title=\\\"Test Section 1\\\", story=story,\\n layout=layout)\\n self.assertEqual(Section.objects.filter(story=story).count(), 1)\\n self.api_client.client.login(username=self.username,\\n password=self.password)\\n uri = '/api/0.1/stories/%s/sections/%s/' % (story.story_id,\\n section.section_id)\\n resp = self.api_client.delete(uri)\\n self.assertHttpUnauthorized(resp)\\n self.assertEqual(Section.objects.filter(story=story).count(), 1)\\n self.assertEqual(\\n Section.objects.filter(section_id=section.section_id).count(),\\n 1)\",\n \"def test_admin_index(self):\\n response = self.client.get('/admin/')\\n self.assertEqual(response.status_code, 200)\\n self.assertContains(response, \\\"Djrill\\\")\",\n \"def test_delete_ingredient(self):\\n ingredient = Ingredient.objects.create(user=self.user, name='Lettuce')\\n url = detail_url(ingredient.id)\\n res = self.client.delete(url)\\n\\n self.assertEqual(res.status_code, status.HTTP_204_NO_CONTENT)\\n ingredients = Ingredient.objects.filter(user=self.user)\\n self.assertFalse(ingredients.exists())\",\n \"def test_author_delete_post(self):\\n self.client.login(username=\\\"John\\\", password=\\\"newpass1234\\\")\\n response = self.client.post('/posts/1/delete/')\\n self.assertEqual(list(Post.objects.filter(id=1)), [])\",\n \"def test_delete_user_does_not_exists(self, client, users):\\n user = users[0]\\n url = reverse('users:delete', args=(user.pk + 100,))\\n response = client.post(url)\\n assert response.status_code == 404\",\n \"def test_method_excludes(self):\\n self.assertContains(self.response, \\\"<td>get_full_name</td>\\\")\\n self.assertNotContains(self.response, \\\"<td>_get_full_name</td>\\\")\\n self.assertNotContains(self.response, \\\"<td>add_image</td>\\\")\\n self.assertNotContains(self.response, \\\"<td>delete_image</td>\\\")\\n self.assertNotContains(self.response, \\\"<td>set_status</td>\\\")\\n self.assertNotContains(self.response, \\\"<td>save_changes</td>\\\")\",\n \"def test_delete_no_target(self):\\n # login as library manager\\n self.authenticate(self.user)\\n\\n # remove all works\\n Work.objects.all().delete()\\n\\n # prune works\\n response = self.client.delete(self.url)\\n\\n # check http status\\n self.assertEqual(response.status_code, status.HTTP_200_OK)\\n\\n # check the response\\n self.assertDictEqual(response.data, {\\\"deleted_count\\\": 0})\",\n \"def test_post_deletion_unauthenticated(self):\\n url = reverse(\\n 'post-detail',\\n args=[\\n self.topic1.url_name,\\n self.post1.id\\n ]\\n )\\n response = self.client.delete(url)\\n\\n self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)\\n deleted_post = Post.objects.filter(\\n id=self.post1.id,\\n )\\n self.assertTrue(deleted_post.exists())\",\n \"def delete():\\n click.echo('delete was called.')\",\n \"def test_api_can_delete_post(self):\\n post = Post.objects.get()\\n response = self.client.delete(\\n reverse('details', kwargs={'pk': post.id}),\\n format='json',\\n follow=True)\\n\\n self.assertEquals(response.status_code, status.HTTP_204_NO_CONTENT)\",\n \"def test_api_can_delete_post(self):\\n post = Post.objects.get()\\n response = self.client.delete(\\n reverse('details', kwargs={'pk': post.id}),\\n format='json',\\n follow=True)\\n\\n self.assertEquals(response.status_code, status.HTTP_204_NO_CONTENT)\",\n \"def test_delete_device_template(self):\\n pass\",\n \"def test_xml_template_delete(self):\\n XmlTemplate.delete_by_id(1)\\n self.assertEqual(XmlTemplate.objects.count(), 1)\\n self.assertFalse(XmlTemplate.objects.filter(pk=1).exists())\",\n \"def test_delete_collection(self):\\n pass\",\n \"def test07_remove_first_student_with_admin(self):\\n print(self.students_page.students_table())\\n first_student = self.students_page.students_table()[0]\\n students_list_without_first_student = self.students_page.\\\\\\n click_edit_students_list_button().\\\\\\n click_delete_first_student_button().\\\\\\n click_exit_students_list_editor_button().\\\\\\n students_table()\\n self.assertEqual(self.main_page.get_current_url(),\\n data['expected_url'])\\n self.assertNotIn(first_student,\\n students_list_without_first_student)\",\n \"def test_delete(self):\\r\\n course = CourseFactory.create(org='edX', course='999')\\r\\n with self.assertRaises(ValueError):\\r\\n tabs.primitive_delete(course, 0)\\r\\n with self.assertRaises(ValueError):\\r\\n tabs.primitive_delete(course, 1)\\r\\n with self.assertRaises(IndexError):\\r\\n tabs.primitive_delete(course, 6)\\r\\n tabs.primitive_delete(course, 2)\\r\\n self.assertFalse({u'type': u'textbooks'} in course.tabs)\\r\\n # Check that discussion has shifted up\\r\\n self.assertEquals(course.tabs[2], {'type': 'discussion', 'name': 'Discussion'})\",\n \"def test_delete__DeleteForm__1(search_data, UserFactory, browser):\\n address_book = search_data\\n # Create a user -- the person of a user cannot be deleted using this search\\n # result handler.\\n UserFactory(address_book, u'Ben', u'Utzer', u'ben@example.com',\\n u'12345678', [], keywords=[u'church'])\\n browser.login('mgr')\\n browser.keyword_search('church')\\n # Only the selected persons get deleted. Deselected persons will not:\\n browser.getControl(name='persons:list').getControl(\\n value=\\\"Person-2\\\").selected = False # This this the person named \\\"Koch\\\"\\n browser.getControl('Apply on selected persons').displayValue = [\\n 'Delete']\\n browser.getControl(name='form.buttons.apply').click()\\n # The number of persons for deletion is shown on the question screen:\\n # (There are 3 persons with the church keyword in the fixture, one got\\n # deselected but there is additionally a newly created user.\\n assert ['3'] == browser.etree.xpath(\\n '//span[@id=\\\"form-widgets-count\\\"]/text()')\\n assert ('You are not able to delete a person who is referenced.'\\n in browser.contents)\\n assert browser.SEARCH_DELETE_URL == browser.url\\n browser.getControl('Yes, delete').click()\\n assert 'Selected persons deleted: 2' == browser.message\\n assert browser.PERSONS_LIST_URL == browser.url\\n # Only the two non-users got deleted:\\n assert 'Koch' in browser.contents\\n assert 'Utzer' in browser.contents\\n assert 'Liebig' not in browser.contents\\n assert 'Velleuer' not in browser.contents\",\n \"def test_delete_idea_invalid_id(self):\\n self.newidea()\\n rv = self.app.post('/delete/idea/35',\\n data=dict(confirm=True),\\n follow_redirects=True)\\n self.assertIn(b'Idea does not exist', rv.data)\",\n \"def test_remove(self):\\n pass\",\n \"def test_delete_view_redirect_anauth_users_to_login_page(self):\\n response = self.client.get('/groups/new_group/delete/')\\n self.assertEqual(response.status_code, 302)\\n self.assertIn(\\\"login\\\", response.url)\",\n \"def test_delete__not_found(self):\\n testing_config.sign_in('admin@example.com', 123567890)\\n\\n with test_app.test_request_context(self.request_path):\\n with self.assertRaises(werkzeug.exceptions.NotFound):\\n self.handler.do_delete(account_id=self.appuser_id + 1)\\n\\n unrevised_appuser = user_models.AppUser.get_by_id(self.appuser_id)\\n self.assertEqual('user@example.com', unrevised_appuser.email)\",\n \"def test_delete_author_unlogged(self):\\n request = self.client.delete(self.epoint)\\n self.assertEqual(request.status_code, status.HTTP_403_FORBIDDEN)\",\n \"def test_destroy_not_owner(self):\\n\\n self.assertEqual(first=1, second=Post.objects.all().count())\\n url = reverse('post-detail', args=(self.post.id,))\\n self.client.credentials(HTTP_AUTHORIZATION=self.token_1)\\n response = self.client.delete(path=url)\\n self.assertEqual(first=403, second=response.status_code)\\n self.assertEqual(first=1, second=Post.objects.all().count())\",\n \"def test_404_delete_question(self):\\n\\n res = self.client().get('/qustions/100')\\n\\n data = json.loads(res.data)\\n\\n self.assertEqual(res.status_code, 404)\\n self.assertEqual(data['success'], False)\\n self.assertEqual(data['error'], 404)\\n self.assertEqual(data['message'], \\\"resource not found\\\")\",\n \"def test_delete_post_by_user(self):\\n\\n response = self.client.delete(reverse('api:posts-detail', kwargs={'pk': self.post1.id}))\\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)\",\n \"def test_index_delete(self):\\n a = self.test_index()\\n a.delete()\\n es = self.es\\n es.refresh()\\n r = es.search(query=StringQuery('zool'))\\n eq_(r['hits']['total'], 0, \\\"We shouldn't get any hits.\\\")\",\n \"def test_delete_record(self):\\n pass\",\n \"def test_delete_non_existing_resource(self):\\n CommonTestCases.admin_token_assert_in(\\n self,\\n delete_assigned_resource_from_non_existing_resource,\\n \\\"Resource does not exist\\\"\\n )\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.7858739","0.78354084","0.7627659","0.75596243","0.74663603","0.7334929","0.70581496","0.7052979","0.7024209","0.68837976","0.6852879","0.67638767","0.67259175","0.671539","0.6689493","0.66716695","0.6657678","0.66534823","0.66348356","0.6614664","0.66060615","0.6593416","0.6575226","0.65527856","0.6551071","0.6537193","0.65359235","0.6522199","0.6521956","0.64980304","0.6495553","0.64901364","0.64419305","0.6438365","0.64247656","0.6415841","0.6408272","0.6406094","0.6394222","0.63821906","0.63605905","0.63486487","0.63359314","0.633537","0.6326001","0.63210946","0.6306848","0.62914544","0.6289839","0.628815","0.6279426","0.6278933","0.6276799","0.6275423","0.6198443","0.6197257","0.6194123","0.6191913","0.61918175","0.6191698","0.61871094","0.61867034","0.6174226","0.61670655","0.61617595","0.61533725","0.6153015","0.6144795","0.61352456","0.6131388","0.6128071","0.6124247","0.6122697","0.61196053","0.6099495","0.609244","0.6092431","0.6090126","0.6089595","0.60856766","0.60805064","0.6072176","0.6072176","0.6071285","0.6069325","0.60534036","0.6047502","0.60425436","0.6039655","0.6039232","0.60358","0.60329634","0.60312355","0.6028676","0.6021259","0.60183626","0.6014581","0.60094476","0.6008895","0.59947914"],"string":"[\n \"0.7858739\",\n \"0.78354084\",\n \"0.7627659\",\n \"0.75596243\",\n \"0.74663603\",\n \"0.7334929\",\n \"0.70581496\",\n \"0.7052979\",\n \"0.7024209\",\n \"0.68837976\",\n \"0.6852879\",\n \"0.67638767\",\n \"0.67259175\",\n \"0.671539\",\n \"0.6689493\",\n \"0.66716695\",\n \"0.6657678\",\n \"0.66534823\",\n \"0.66348356\",\n \"0.6614664\",\n \"0.66060615\",\n \"0.6593416\",\n \"0.6575226\",\n \"0.65527856\",\n \"0.6551071\",\n \"0.6537193\",\n \"0.65359235\",\n \"0.6522199\",\n \"0.6521956\",\n \"0.64980304\",\n \"0.6495553\",\n \"0.64901364\",\n \"0.64419305\",\n \"0.6438365\",\n \"0.64247656\",\n \"0.6415841\",\n \"0.6408272\",\n \"0.6406094\",\n \"0.6394222\",\n \"0.63821906\",\n \"0.63605905\",\n \"0.63486487\",\n \"0.63359314\",\n \"0.633537\",\n \"0.6326001\",\n \"0.63210946\",\n \"0.6306848\",\n \"0.62914544\",\n \"0.6289839\",\n \"0.628815\",\n \"0.6279426\",\n \"0.6278933\",\n \"0.6276799\",\n \"0.6275423\",\n \"0.6198443\",\n \"0.6197257\",\n \"0.6194123\",\n \"0.6191913\",\n \"0.61918175\",\n \"0.6191698\",\n \"0.61871094\",\n \"0.61867034\",\n \"0.6174226\",\n \"0.61670655\",\n \"0.61617595\",\n \"0.61533725\",\n \"0.6153015\",\n \"0.6144795\",\n \"0.61352456\",\n \"0.6131388\",\n \"0.6128071\",\n \"0.6124247\",\n \"0.6122697\",\n \"0.61196053\",\n \"0.6099495\",\n \"0.609244\",\n \"0.6092431\",\n \"0.6090126\",\n \"0.6089595\",\n \"0.60856766\",\n \"0.60805064\",\n \"0.6072176\",\n \"0.6072176\",\n \"0.6071285\",\n \"0.6069325\",\n \"0.60534036\",\n \"0.6047502\",\n \"0.60425436\",\n \"0.6039655\",\n \"0.6039232\",\n \"0.60358\",\n \"0.60329634\",\n \"0.60312355\",\n \"0.6028676\",\n \"0.6021259\",\n \"0.60183626\",\n \"0.6014581\",\n \"0.60094476\",\n \"0.6008895\",\n \"0.59947914\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.80642617"},"document_rank":{"kind":"string","value":"0"}}},{"rowIdx":86783,"cells":{"query":{"kind":"string","value":"Test that the delete button appears on the edit page"},"document":{"kind":"string","value":"def test_delete_button_appears_edit(self):\n response = self.client.get(reverse('wagtailnews:edit', kwargs={\n 'pk': self.index.pk, 'newsitem_pk': self.newsitem.pk}))\n self.assertContains(response, self.url)"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def test_delete_custom_button(self):\n pass","def test_no_delete_button_appears_edit(self):\n response = self.client.get(reverse('wagtailnews:edit', kwargs={\n 'pk': self.index.pk, 'newsitem_pk': self.newsitem.pk}))\n self.assertNotContains(response, self.url)","def test_commentary_view_delete(self):\n \n test_response = self.client.get('/papers/commentary/1/delete')\n self.assertEqual(test_response.status_code, 200)\n self.assertTrue('object' in test_response.context) \n self.assertTemplateUsed(test_response, 'base.html')\n self.assertTemplateUsed(test_response, 'confirm_delete.html')","def test_edit_button_appears(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertContains(response, self.url)","def test_delete_button_appears_index(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertContains(response, self.url)","def test_delete(admin_client):\n book = BookFactory()\n url = reverse(\"admin:books_book_delete\", args=(book.pk,))\n\n response = admin_client.get(url)\n templates_used = [t.name for t in response.templates]\n\n assert response.status_code == 200\n render_counts = {x: templates_used.count(x) for x in set(templates_used)}\n\n # The number of times each template was rendered\n assert render_counts == {\n \"admin/delete_confirmation.html\": 1,\n \"admin/base_site.html\": 1,\n \"admin/base.html\": 1,\n \"admin/includes/object_delete_summary.html\": 1,\n \"jazzmin/includes/ui_builder_panel.html\": 1,\n }\n\n # The templates that were used\n assert set(templates_used) == {\n \"admin/delete_confirmation.html\",\n \"admin/base_site.html\",\n \"admin/base.html\",\n \"admin/includes/object_delete_summary.html\",\n \"jazzmin/includes/ui_builder_panel.html\",\n }\n\n response = admin_client.post(url, data={\"post\": \"yes\"}, follow=True)\n\n # We deleted our object, and are now back on the changelist\n assert not Book.objects.all().exists()\n assert response.resolver_match.url_name == \"books_book_changelist\"","def test_delete(self):\n pass","def test_delete_post():\n\n driver = webdriver.Chrome()\n driver.get('https://cmput404group10.herokuapp.com')\n\n username = driver.find_element_by_id(\"username\")\n username.send_keys(\"ronWeasley\")\n\n password = driver.find_element_by_name(\"password\")\n password.send_keys(\"ualberta123\")\n\n driver.find_element_by_xpath('/html/body/div/div/div/div/div/div/div[2]/div/form/div[3]/button').click()\n\n driver.find_element_by_xpath('//*[@id=\"accordionSidebar\"]/li[2]/a').click()\n assert driver.page_source.__contains__(\"Selenium Test Content\")\n\n driver.find_element_by_link_text('Delete').click()\n\n driver.find_element_by_xpath('//*[@id=\"content\"]/div/form/input[2]').click()\n\n assert not driver.page_source.__contains__(\"Selenium Test Content\")","def test_post_delete_admin(self):\n url = reverse('post-detail', kwargs={'pk': self.post.id})\n self.client.force_authenticate(user=self.superuser)\n response = self.client.delete(url)\n self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)","def test_error_html_using_delete(self):\n pass","def test_delete_permission(self):\r\n self.assertFalse(self.creator_admin.has_delete_permission(self.request))","def test_delete_item_using_delete(self):\n pass","def assert_can_delete(selenium, obj, can_delete):\n info_page = _get_ui_service(selenium, obj=obj).open_info_page_of_obj(obj)\n assert info_page.three_bbs.delete_option.exists == can_delete\n if can_delete:\n info_page.three_bbs.select_delete().confirm_delete()\n selenium_utils.open_url(obj.url)\n assert ui_utils.is_error_404()","def test_delete__DeleteForm__4(address_book, browser, role):\n browser.login(role)\n browser.assert_forbidden(browser.SEARCH_DELETE_URL)","def test_plusrecors_delete(self):\n f = FlatPage.objects.create(title = 'f',\n url = '/minus/upload/plus/done/',\n content = 'flapi')\n self.go200('minus_plus_upload')\n self.formfile('minus_plus_upload', 'file', AUDIO_FILE)\n self.submit200()\n self.url('minus_plus_upload_done')\n self.find('flapi')\n self.go200('minus_plus_upload')\n self.formfile('minus_plus_upload', 'file', AUDIO_FILE)\n self.submit200()\n self.assert_equal(MinusPlusRecord.objects.count(), 2)\n self.go200('minus_upload')\n self.formfile('minus_upload', 'file', AUDIO_FILE)\n self.submit200()\n self.find('Плюс')\n m = MinusRecord.objects.all()[0]\n p = MinusPlusRecord.objects.all()[0]\n self.assert_equal(p.minus , m)\n self.assert_equal(MinusPlusRecord.objects.count(), 1)\n self.go200('plus_delete', [p.id])\n self.fv('object_delete','__confirm__', 1)\n self.submit200()\n self.assert_equal(MinusPlusRecord.objects.count(), 0)","def test_that_logged_in_shows_edit_button(testapp):\n testapp.post('/login', params={'Username': 'amos', 'Password': 'password'})\n html = testapp.get('/journal/1').html\n assert html.find('main').a.text == 'Edit'","def test_delete_note(self):\n\n url = reverse(\n 'crm-admin:note-delete',\n kwargs={\n 'pk': self.object.id\n }\n )\n\n # Test that the page load first\n response = self.c.get(url)\n self.assertEqual(response.status_code, 200)\n\n # Action detail with POST call\n response = self.c.post(url)\n self.assertEqual(response.status_code, 302)\n\n # Test that the record has been deleted\n obj = Note.objects.filter(id=self.object.id)\n self.assertEqual(obj.count(), 0)","def test_no_edit_button_appears(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertNotContains(response, self.url)","def test_publication_view_delete(self):\n \n test_response = self.client.get('/papers/14-3-3-proteins-a-number-of-functions-for-a-numbered-protein/delete/')\n self.assertEqual(test_response.status_code, 200)\n self.assertTrue('publication' in test_response.context) \n self.assertTemplateUsed(test_response, 'confirm_delete.html')\n self.assertEqual(test_response.context['publication'].pk, 1)\n self.assertEqual(test_response.context['publication'].title, u'14-3-3 proteins: a number of functions for a numbered protein.')\n\n #verifies that a non-existent object returns a 404 error.\n null_response = self.client.get('/papers/not-a-real-paper/delete/')\n self.assertEqual(null_response.status_code, 404)","def test_update_custom_button(self):\n pass","def test_delete1(self):\n pass","def test_that_not_logged_in_does_not_shows_edit_button(testapp):\n html = testapp.get('/journal/1').html\n assert not html.find('main').a","def test_delete__DeleteForm__2(search_data, browser):\n browser.login('mgr')\n browser.keyword_search('church', 'Delete')\n # Seleting the `cancel` button leads to the person list without deleting\n # anybody:\n browser.getControl('No, cancel').click()\n assert 'Deletion canceled.' == browser.message\n assert browser.PERSONS_LIST_URL == browser.url\n assert 'Koch' in browser.contents\n assert 'Liebig' in browser.contents\n assert 'Velleuer' in browser.contents","def delete(request):\n return render(request, 'modify.html')","def test_delete_view(self):\n self.client.post(reverse('misago:admin:users:bans:new'), data={\n 'check_type': '0',\n 'banned_value': 'TestBan',\n })\n\n test_ban = Ban.objects.get(banned_value='testban')\n\n response = self.client.post(reverse('misago:admin:users:bans:delete', kwargs={\n 'pk': test_ban.pk\n }))\n self.assertEqual(response.status_code, 302)\n\n response = self.client.get(reverse('misago:admin:users:bans:index'))\n self.client.get(response['location'])\n response = self.client.get(response['location'])\n\n self.assertEqual(response.status_code, 200)\n self.assertNotContains(response, test_ban.banned_value)","def test_delete__DeleteForm__1(search_data, UserFactory, browser):\n address_book = search_data\n # Create a user -- the person of a user cannot be deleted using this search\n # result handler.\n UserFactory(address_book, u'Ben', u'Utzer', u'ben@example.com',\n u'12345678', [], keywords=[u'church'])\n browser.login('mgr')\n browser.keyword_search('church')\n # Only the selected persons get deleted. Deselected persons will not:\n browser.getControl(name='persons:list').getControl(\n value=\"Person-2\").selected = False # This this the person named \"Koch\"\n browser.getControl('Apply on selected persons').displayValue = [\n 'Delete']\n browser.getControl(name='form.buttons.apply').click()\n # The number of persons for deletion is shown on the question screen:\n # (There are 3 persons with the church keyword in the fixture, one got\n # deselected but there is additionally a newly created user.\n assert ['3'] == browser.etree.xpath(\n '//span[@id=\"form-widgets-count\"]/text()')\n assert ('You are not able to delete a person who is referenced.'\n in browser.contents)\n assert browser.SEARCH_DELETE_URL == browser.url\n browser.getControl('Yes, delete').click()\n assert 'Selected persons deleted: 2' == browser.message\n assert browser.PERSONS_LIST_URL == browser.url\n # Only the two non-users got deleted:\n assert 'Koch' in browser.contents\n assert 'Utzer' in browser.contents\n assert 'Liebig' not in browser.contents\n assert 'Velleuer' not in browser.contents","def click_the_edit_button_that_appears(driver):\n driver.find_element_by_xpath(xpaths.users.eric_Edit_Button).click()","def test_deleted(self):\n event = Event.objects.all()[0]\n\n todo = TodoItem.objects.create(\n event=event, completed=False, title=\"Test TODO3\",\n due=datetime.date.today(), additional=\"\",\n )\n\n assert todo in event.todoitem_set.all()\n\n self.client.get(reverse('todo_delete', args=[todo.pk]))\n\n assert event.todoitem_set.all().count() == 0","def test_show_tag_edit(self):\r\n\r\n with app.test_client() as client:\r\n resp = client.get(f\"/tags/{self.tag.id}/edit\")\r\n html = resp.get_data(as_text=True)\r\n\r\n self.assertEqual(resp.status_code, 200)\r\n self.assertIn(\"Edit Tag\", html)\r\n self.assertIn(self.tag.name, html)","def test_delete_activity_template(self):\n pass","def test_delete_run(self):\n pass","def test_delete_user_field(self):\n pass","def test_client_delete_view(self):\r\n response = self.test_client.post(\r\n reverse('client_delete', kwargs={'pk': self.client1_id}))\r\n self.assertEqual(response.status_code, 302)\r\n self.assertRaises(ObjectDoesNotExist,\r\n Client.objects.get,\r\n id=self.client1_id)","def test_no_delete_button_appears_index(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertNotContains(response, self.url)","def test_edit_mdt(self):\n response = self.client.get(reverse('edit-mdt', args=[self.sample_type, self.mdt.id]))\n self.assertContains(response, self.proband.gel_id)\n self.assertEqual(response.status_code, 200)","def test_delete7(self):\n pass","def test_before_delete_for_linked_resource(self):\n resource = factories.Resource()\n helpers.call_action(\"resource_delete\", id=resource[\"id\"])\n with pytest.raises(p.toolkit.ObjectNotFound):\n helpers.call_action(\"resource_show\", id=resource[\"id\"])","def test_author_delete_post(self):\n self.client.login(username=\"John\", password=\"newpass1234\")\n response = self.client.post('/posts/1/delete/')\n self.assertEqual(list(Post.objects.filter(id=1)), [])","def test_create_custom_button(self):\n pass","def test_delete_case(self):\n pass","def test_delete_boat(self):\n pass","def click_bulk_edit_button(self):\n self.click_element(self.bulk_edit_button_locator, True)","def test_event_view_delete(self):\n # delete event\n request = self.factory.post('/module/event/del/1/', follow=True)\n request.user = self.user\n request.session = {}\n response = event_del(request, 1)\n self.assertEqual(response.status_code, 302)\n\n request = self.factory.post('/module/event/del/', {'select': '1'})\n request.user = self.user\n request.session = {}\n response = event_del(request, 0)\n self.assertEqual(response.status_code, 302)","def test_delete__DeleteForm__3(search_data, browser, role):\n browser.login(role)\n browser.keyword_search('church')\n # There is no delete option which can be applied:\n assert ([\n 'XLS export main (Exports person data and main addresses resp. '\n 'phone numbers.)',\n 'XLS export complete (Exports person data and all addresses resp. '\n 'phone numbers.)',\n 'E-Mail (Creates a link to send e-mails.)',\n 'Names (Comma separated list of person names.)',\n 'Checklist (List of person names with check-boxes.)',\n \"iCalendar export birthday (Export person's birthdays as \"\n \".ics file.)\",\n 'Birthday list (Person names sorted by birthday.)',\n ] == browser.getControl('Apply on selected persons').displayOptions)\n browser.assert_forbidden(browser.SEARCH_DELETE_URL)","def test_edit_boat(self):\n pass","def test_delete(self, client, users):\n user = users[0]\n url = reverse('users:delete', args=(user.pk,))\n response = client.get(url)\n assert response.status_code == 405\n response = client.post(url)\n assert response.status_code == 302\n assert response.url == reverse('users:list')\n assert not get_user_model().objects.filter(pk=user.pk).exists()","def test_delete(self):\n obj = self.provision_single_asset()\n obj_id = obj.id\n self.delete('widget', 200, params={'id': obj_id})\n obj = self.session.query(self.widget_model).filter_by(id=obj_id).first()\n assert obj is None","def test_get_custom_button(self):\n pass","def test_add_button_appears(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertContains(response, self.url)","def test_delete_record(self):\n pass","def test_delete__valid(self):\n testing_config.sign_in('admin@example.com', 123567890)\n\n with register.app.test_request_context(self.request_path):\n actual_json = self.handler.do_delete(self.feature_id)\n self.assertEqual({'message': 'Done'}, actual_json)\n\n revised_feature = models.Feature.get_by_id(self.feature_id)\n self.assertTrue(revised_feature.deleted)","def test_edit(self):\n # Test using the Trovebox class\n html = self.client.photo.edit(self.photos[0])\n self.assertIn(\"<form\", html.lower())\n\n # And the Photo object directly\n html = self.photos[0].edit()\n self.assertIn(\"<form\", html.lower())","def test_edit_view(self):\n target_url = url_for('content.edit_content')\n redirect_url = url_for('users.login', next=target_url)\n response = self.client.get(target_url)\n self.assertEqual(response.status_code, 302)\n self.assertRedirects(response, redirect_url)","def test_delete_view_without_next_redirects_to_group_page(self):\n self.client.login(username=\"John\", password=\"newpass1234\")\n response = self.client.post('/posts/1/delete/')\n self.assertIn(\"group\", response.url)","def test_delete_but_no_view_permission(client):\n user = user_with_permissions(\"polls.delete_poll\")\n\n url = reverse(\"admin:index\")\n client.force_login(user)\n\n response = client.get(url)\n assert parse_sidemenu(response) == {\"Global\": [\"/en/admin/\"], \"Polls\": [None]}","def test_delete(self):\n self.client.force_authenticate(user=self.admin)\n\n response = self.client.delete(\n reverse(\n 'retreat:waitqueuenotification-detail',\n kwargs={'pk': 1},\n ),\n )\n\n self.assertEqual(\n response.status_code,\n status.HTTP_405_METHOD_NOT_ALLOWED\n )","def test_delete(self) -> None:\n\n expected = False\n actual = self.helper.set_name(self.test_name).exists()\n\n self.assertEqual(expected, actual)\n\n self.helper.set_value(\"Hello, World!\")\n\n expected = True\n actual = self.helper.exists()\n\n self.assertEqual(expected, actual)\n\n self.helper.delete()\n\n expected = False\n actual = self.helper.exists()\n\n self.assertEqual(expected, actual)","def collection_delete_confirm_btn(self):\n collection_delete_confirm_btn_sitem = self.locator_finder_by_xpath(self.collection_delete_confirm_btn_id)\n collection_delete_confirm_btn_sitem.click()\n time.sleep(1)","def test_get_delete_page(self):\n\n data = self.get_valid_data()\n notification = reminders.Notification.objects.create(**data)\n url = reverse('delete-notification', args=[notification.pk])\n response = self.client.get(url)\n self.assertEqual(response.status_code, 200)","def test_get_delete_page(self):\n\n data = self.get_valid_data()\n notification = reminders.Notification.objects.create(**data)\n url = reverse('delete-notification', args=[notification.pk])\n response = self.client.get(url)\n self.assertEqual(response.status_code, 200)","def delete():\n click.echo('delete was called.')","def test_calendar_user_view_delete(self):\n # delete calendar_setting\n request = self.factory.post('/module/calendar_user/del/4/', follow=True)\n request.user = self.user\n request.session = {}\n #response = calendar_user_del(request, 4)\n #self.assertEqual(response.status_code, 302)\n\n request = self.factory.post('/module/calendar_user/del/', {'select': '1'})\n request.user = self.user\n request.session = {}\n #response = calendar_user_del(request, 0)\n #self.assertEqual(response.status_code, 302)","def test_delete_view_redirect_anauth_users_to_login_page(self):\n response = self.client.get('/posts/1/delete/')\n self.assertEqual(response.status_code, 302)\n self.assertIn(\"login\", response.url)","def test_delete_confirmation_template(self):\n self.login()\n\n # BlogIndex needs translated pages before child pages can be translated\n self.fr_blog_index = self.en_blog_index.copy_for_translation(self.fr_locale)\n # Create a copy of the en_blog_post object as a translated page\n self.fr_blog_post = self.en_blog_post.copy_for_translation(self.fr_locale)\n\n # Create an alias page to test the `translations_to_move_count`\n # in the template context\n new_page = CreatePageAliasAction(\n self.en_blog_post,\n recursive=False,\n parent=self.en_blog_index,\n update_slug=\"alias-page-slug\",\n user=None,\n )\n new_page.execute(skip_permission_checks=True)\n\n response = self.client.get(\n reverse(\n \"wagtailadmin_pages:delete\",\n args=(self.en_blog_post.id,),\n ),\n follow=True,\n )\n self.assertEqual(response.status_code, 200)\n self.assertEqual(response.context[\"translation_count\"], 1)\n self.assertEqual(response.context[\"translation_descendant_count\"], 0)\n self.assertIn(\n \"Deleting this page will also delete 1 translation of this page.\",\n response.content.decode(\"utf-8\"),\n )","def test_delete(self):\n\n self.metadata.create_or_update(data=self.create)\n\n # Find by name\n res_name = self.metadata.get_by_name(\n entity=Dashboard, fqn=self.entity.fullyQualifiedName\n )\n # Then fetch by ID\n res_id = self.metadata.get_by_id(\n entity=Dashboard, entity_id=str(res_name.id.__root__)\n )\n\n # Delete\n self.metadata.delete(\n entity=Dashboard, entity_id=str(res_id.id.__root__), recursive=True\n )\n\n # Then we should not find it\n res = self.metadata.list_entities(entity=Dashboard)\n assert not next(\n iter(\n ent\n for ent in res.entities\n if ent.fullyQualifiedName == self.entity.fullyQualifiedName\n ),\n None,\n )","def test_calendar_view_delete(self):\n # delete calendar\n request = self.factory.post('/module/calendar/del/1/', follow=True)\n request.user = self.user\n request.session = {}\n response = calendar_del(request, 1)\n self.assertEqual(response.status_code, 302)\n\n request = self.factory.post('/module/calendar/del/', {'select': '1'})\n request.user = self.user\n request.session = {}\n response = calendar_del(request, 0)\n self.assertEqual(response.status_code, 302)","def test_deleting_post(self):\n\n delete_post(1)\n post = Post.query.get(1)\n self.assertEqual(post, None)","def test_delete_link_resources(self):\n g = groups.get_by_name(\"First Group\")\n \n self.open_url('/group/list')\n \n deletelink = self.wd.find_element(By.ID, \"delete-link-{0}\".format(g.id))\n deletelink.click()\n \n self.assertEquals('Delete Group', self.wd.title)\n \n self.submit_form(\"delete_form\")\n \n alert = self.wd.switch_to_alert()\n self.assertEqual(\"Are you sure you wish to permanently delete this group and specified resources?\", alert.text)\n alert.accept()\n \n self.assert_notification(\"Group deleted: {0} (id={1})\".format(g.name, g.id))\n self.assert_not_in_list_table(g.name)","def test_has_tagging_button(self):\n response = self.client.get(self.get_url(self.trait.pk))\n context = response.context\n self.assertTrue(context['show_tag_button'])\n self.assertContains(response, reverse('trait_browser:source:traits:tagging', kwargs={'pk': self.trait.pk}))","def test_has_tagging_button(self):\n response = self.client.get(self.get_url(self.trait.pk))\n context = response.context\n self.assertTrue(context['show_tag_button'])\n self.assertContains(response, reverse('trait_browser:source:traits:tagging', kwargs={'pk': self.trait.pk}))","def test_api_can_delete_post(self):\n post = Post.objects.get()\n response = self.client.delete(\n reverse('details', kwargs={'pk': post.id}),\n format='json',\n follow=True)\n\n self.assertEquals(response.status_code, status.HTTP_204_NO_CONTENT)","def test_api_can_delete_post(self):\n post = Post.objects.get()\n response = self.client.delete(\n reverse('details', kwargs={'pk': post.id}),\n format='json',\n follow=True)\n\n self.assertEquals(response.status_code, status.HTTP_204_NO_CONTENT)","def test_otoroshi_controllers_adminapi_tcp_service_api_controller_delete_entity_action(self):\n pass","def test_edit_view(self):\n self.client.post(reverse('misago:admin:users:bans:new'), data={\n 'check_type': '0',\n 'banned_value': 'Admin',\n })\n\n test_ban = Ban.objects.get(banned_value='admin')\n form_link = reverse('misago:admin:users:bans:edit', kwargs={'pk': test_ban.pk})\n\n response = self.client.post(form_link, data={\n 'check_type': '1',\n 'banned_value': 'test@test.com',\n 'user_message': 'Lorem ipsum dolor met',\n 'staff_message': 'Sit amet elit',\n 'expires_on': '',\n })\n self.assertEqual(response.status_code, 302)\n\n response = self.client.get(reverse('misago:admin:users:bans:index'))\n response = self.client.get(response['location'])\n self.assertEqual(response.status_code, 200)\n self.assertContains(response, 'test@test.com')","def test_edit_post():\n driver = webdriver.Chrome()\n driver.get('https://cmput404group10.herokuapp.com')\n\n username = driver.find_element_by_id(\"username\")\n username.send_keys(\"ronWeasley\")\n\n password = driver.find_element_by_name(\"password\")\n password.send_keys(\"ualberta123\")\n\n driver.find_element_by_xpath('/html/body/div/div/div/div/div/div/div[2]/div/form/div[3]/button').click()\n\n driver.find_element_by_xpath('//*[@id=\"accordionSidebar\"]/li[2]/a').click()\n\n assert driver.page_source.__contains__(\"Selenium Test\")\n assert not driver.page_source.__contains__(\"Selenium Edit Post\")\n\n driver.find_element_by_link_text('Edit').click()\n\n title = driver.find_element_by_xpath('//*[@id=\"id_title\"]')\n title.clear()\n title.send_keys(\"Selenium Edit Post\")\n\n driver.find_element_by_xpath('//*[@id=\"content\"]/div/div/form/button').click()\n assert driver.page_source.__contains__(\"Selenium Edit Post\")","def test_delete_user(self):\n pass","def test_delete_user(self):\n pass","def test_delete_ingredient(self):\n ingredient = Ingredient.objects.create(user=self.user, name='Lettuce')\n url = detail_url(ingredient.id)\n res = self.client.delete(url)\n\n self.assertEqual(res.status_code, status.HTTP_204_NO_CONTENT)\n ingredients = Ingredient.objects.filter(user=self.user)\n self.assertFalse(ingredients.exists())","def test_not_author_delete_post(self):\n self.client.login(username=\"Bill\", password=\"newpass1234\")\n response = self.client.post('/posts/1/delete/', {\"next\": \"\"})\n self.assertNotEqual(list(Post.objects.filter(id=1)), [])","def test_delete_note(self):\n pass","def test_delete_admin_from_org(self):\n pass","def test_delete(self):\n\n test_user = get_user_model().objects.create_user(username='tester',password='pass')\n test_user.save()\n\n test_book = Book.objects.create(\n publisher = test_user,\n name = 'Title of Blog',\n description = 'Words about the blog'\n )\n\n test_book.save()\n\n book = Book.objects.get()\n\n url = reverse('book_detail', kwargs={'pk': book.id})\n\n\n response = self.client.delete(url)\n\n self.assertEquals(response.status_code, status.HTTP_204_NO_CONTENT, url)","def test_xml_template_delete(self):\n XmlTemplate.delete_by_id(1)\n self.assertEqual(XmlTemplate.objects.count(), 1)\n self.assertFalse(XmlTemplate.objects.filter(pk=1).exists())","def test_creator_in_group_can_delete_tab(self):\n\n self.client.login(username='tab', password='tab')\n expected_url = reverse('group_view', args=(self.group.pk,))\n\n utils.test_can_access(self, self.url,\n post_redirect_url=expected_url)\n self.assertEqual(len(Tab.objects.all()), 0)","def test_edit_tag(self):\r\n\r\n with app.test_client() as client:\r\n d = {\"name\": \"DC\"}\r\n resp = client.post(f\"/tags/{self.tag.id}/edit\", data=d, follow_redirects=True) \r\n html = resp.get_data(as_text=True)\r\n\r\n self.assertEqual(resp.status_code, 200) \r\n self.assertIn(\"DC\", html)","def test_user_logged_in_get_displays_delete_account_form(self):\n self.assertTrue(self.login())\n get_response = self.get_delete_account()\n self.assertEqual(get_response.status_code, 200)\n form = get_response.context.get('form')\n self.assertIsInstance(form, DeleteAccountForm)","def test_not_author_delete_group(self):\n self.client.login(username = \"Bill\", password = \"newpass1234\")\n response = self.client.post('/groups/new_group/edit/', {\"name\":\"new_group4\", \"description\":\"some descr\"})\n self.assertEqual(list(Group.objects.filter(slug=\"new_group4\")), [])","def test_post_delete_logged_in(self):\n url = reverse('post-detail', kwargs={'pk': self.post.id})\n self.client.force_authenticate(user=self.user)\n response = self.client.delete(url)\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)","def test_delete_detail(self):\n story = create_story(title=\"Test Story\", summary=\"Test Summary\",\n byline=\"Test Byline\", status=\"published\",\n language=\"en\", author=self.user)\n layout = SectionLayout.objects.get(sectionlayouttranslation__name=\"Side by Side\")\n container1 = Container.objects.get(name='left')\n container2 = Container.objects.get(name='right')\n section = create_section(title=\"Test Section 1\", story=story,\n layout=layout)\n self.assertEqual(Section.objects.filter(story=story).count(), 1)\n self.api_client.client.login(username=self.username,\n password=self.password)\n uri = '/api/0.1/stories/%s/sections/%s/' % (story.story_id,\n section.section_id)\n resp = self.api_client.delete(uri)\n self.assertHttpAccepted(resp)\n self.assertEqual(Section.objects.filter(story=story).count(), 0)\n self.assertEqual(\n Section.objects.filter(section_id=section.section_id).count(),\n 0)","def test_delete_device_template(self):\n pass","def test_delete_order(self):\n self.orders_list.place_order(self.order)\n self.orders_list.place_order(self.order)\n self.assertEqual(self.orders_list.deletes_order(1), \"Order successfully trashed\")\n self.assertEqual(len(self.orders_list.get_orders()), 1)","def test_none_admin_delete(self):\n\n with self.client:\n token = self.customer()\n id = 1\n response = self.client.delete('api/v1/meals/{}'.format(id),\n headers=({\"token\": token}))\n data = json.loads(response.data.decode())\n self.assertEqual(data.get('message'),\n \"Customer is not authorized to access this page\")\n self.assertEqual(response.status_code, 401)","def test_get_edit(self):\n response = self.get('/study/edit/1')\n self.assertEqual(response.code, 200)\n self.assertNotEqual(str(response.body), \"\")","def test_delete_idea_not_confirm(self):\n self.newidea()\n rv = self.app.post('/delete/idea/1',\n data=dict(),\n follow_redirects=True)\n self.assertIn(b'required', rv.data)","def test_delete(self):\n query = {\"id\":0}\n result = self.app.delete('/testParaDelete', query_string=query)\n self.assertEqual(result.status_code, 200)\n self.assertEqual(result.data, 'ok')","def test_security_on_delete(self):\n # test the delete product url\n product = Product.objects.all()[0]\n url = '/product/xml/%s/' % product.item_number\n response = self.client.delete(url)\n self.failUnlessEqual(response.status_code, 401)","def test_delete(self):\n # add a task\n self.add(title=\"Sample task doing\", description=\"for sample\", state=\"doing\")\n task = Task.query.filter_by(title='Sample task doing').first()\n\n # delete\n self.delete(id=task.id)\n task = Task.query.filter_by(title='Sample task doing').first()\n self.assertIsNone(task)","def test_successfult_post_deletion(self):\n self.user.is_moderator = True\n self.user.save()\n response = self.client.delete(reverse('api:posts-detail', kwargs={'pk': self.post1.id}))\n self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)\n self.assertEqual(Post.objects.count(), 1)","def test_edit(self):\n\n\t\titem_id = mock_item()[0]\n\n\t\titem_data = {'title': 'Item Two', 'author': 'Author Two',\n\t\t\t'location': 'Location Two'}\n\t\tmodels.edit(item_id, item_data)\n\n\t\titem = models.item(item_id)\n\n\t\tself.assertEqual(item['title'], item_data['title'])\n\t\tself.assertEqual(item['author'], item_data['author'])\n\t\tself.assertEqual(item['location'], item_data['location'])","def test_author_view(self):\n table = self.get_change_page_form(self.user_1_client, self.question_1.pk)\n self.assertInHTML('<label>Title:</label><div class=\"readonly\">Lorem</div>', table)\n # The label's `for` attribute is present only on editable fields\n self.assertInHTML('<label class=\"required\" for=\"id_body\">Body:</label>', table)\n self.assertInHTML(\n '<label>Author:</label><div class=\"readonly\"><a href=\"/auth/user/2/change/\">user_1</a></div>', table)\n self.assertInHTML(\n '<div><label>Is published:</label><div class=\"readonly\"><img src=\"/static/admin/img/icon-yes.svg\" '\n 'alt=\"True\"></div></div>', table)"],"string":"[\n \"def test_delete_custom_button(self):\\n pass\",\n \"def test_no_delete_button_appears_edit(self):\\n response = self.client.get(reverse('wagtailnews:edit', kwargs={\\n 'pk': self.index.pk, 'newsitem_pk': self.newsitem.pk}))\\n self.assertNotContains(response, self.url)\",\n \"def test_commentary_view_delete(self):\\n \\n test_response = self.client.get('/papers/commentary/1/delete')\\n self.assertEqual(test_response.status_code, 200)\\n self.assertTrue('object' in test_response.context) \\n self.assertTemplateUsed(test_response, 'base.html')\\n self.assertTemplateUsed(test_response, 'confirm_delete.html')\",\n \"def test_edit_button_appears(self):\\n response = self.client.get(reverse('wagtailnews:index', kwargs={\\n 'pk': self.index.pk}))\\n self.assertContains(response, self.url)\",\n \"def test_delete_button_appears_index(self):\\n response = self.client.get(reverse('wagtailnews:index', kwargs={\\n 'pk': self.index.pk}))\\n self.assertContains(response, self.url)\",\n \"def test_delete(admin_client):\\n book = BookFactory()\\n url = reverse(\\\"admin:books_book_delete\\\", args=(book.pk,))\\n\\n response = admin_client.get(url)\\n templates_used = [t.name for t in response.templates]\\n\\n assert response.status_code == 200\\n render_counts = {x: templates_used.count(x) for x in set(templates_used)}\\n\\n # The number of times each template was rendered\\n assert render_counts == {\\n \\\"admin/delete_confirmation.html\\\": 1,\\n \\\"admin/base_site.html\\\": 1,\\n \\\"admin/base.html\\\": 1,\\n \\\"admin/includes/object_delete_summary.html\\\": 1,\\n \\\"jazzmin/includes/ui_builder_panel.html\\\": 1,\\n }\\n\\n # The templates that were used\\n assert set(templates_used) == {\\n \\\"admin/delete_confirmation.html\\\",\\n \\\"admin/base_site.html\\\",\\n \\\"admin/base.html\\\",\\n \\\"admin/includes/object_delete_summary.html\\\",\\n \\\"jazzmin/includes/ui_builder_panel.html\\\",\\n }\\n\\n response = admin_client.post(url, data={\\\"post\\\": \\\"yes\\\"}, follow=True)\\n\\n # We deleted our object, and are now back on the changelist\\n assert not Book.objects.all().exists()\\n assert response.resolver_match.url_name == \\\"books_book_changelist\\\"\",\n \"def test_delete(self):\\n pass\",\n \"def test_delete_post():\\n\\n driver = webdriver.Chrome()\\n driver.get('https://cmput404group10.herokuapp.com')\\n\\n username = driver.find_element_by_id(\\\"username\\\")\\n username.send_keys(\\\"ronWeasley\\\")\\n\\n password = driver.find_element_by_name(\\\"password\\\")\\n password.send_keys(\\\"ualberta123\\\")\\n\\n driver.find_element_by_xpath('/html/body/div/div/div/div/div/div/div[2]/div/form/div[3]/button').click()\\n\\n driver.find_element_by_xpath('//*[@id=\\\"accordionSidebar\\\"]/li[2]/a').click()\\n assert driver.page_source.__contains__(\\\"Selenium Test Content\\\")\\n\\n driver.find_element_by_link_text('Delete').click()\\n\\n driver.find_element_by_xpath('//*[@id=\\\"content\\\"]/div/form/input[2]').click()\\n\\n assert not driver.page_source.__contains__(\\\"Selenium Test Content\\\")\",\n \"def test_post_delete_admin(self):\\n url = reverse('post-detail', kwargs={'pk': self.post.id})\\n self.client.force_authenticate(user=self.superuser)\\n response = self.client.delete(url)\\n self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)\",\n \"def test_error_html_using_delete(self):\\n pass\",\n \"def test_delete_permission(self):\\r\\n self.assertFalse(self.creator_admin.has_delete_permission(self.request))\",\n \"def test_delete_item_using_delete(self):\\n pass\",\n \"def assert_can_delete(selenium, obj, can_delete):\\n info_page = _get_ui_service(selenium, obj=obj).open_info_page_of_obj(obj)\\n assert info_page.three_bbs.delete_option.exists == can_delete\\n if can_delete:\\n info_page.three_bbs.select_delete().confirm_delete()\\n selenium_utils.open_url(obj.url)\\n assert ui_utils.is_error_404()\",\n \"def test_delete__DeleteForm__4(address_book, browser, role):\\n browser.login(role)\\n browser.assert_forbidden(browser.SEARCH_DELETE_URL)\",\n \"def test_plusrecors_delete(self):\\n f = FlatPage.objects.create(title = 'f',\\n url = '/minus/upload/plus/done/',\\n content = 'flapi')\\n self.go200('minus_plus_upload')\\n self.formfile('minus_plus_upload', 'file', AUDIO_FILE)\\n self.submit200()\\n self.url('minus_plus_upload_done')\\n self.find('flapi')\\n self.go200('minus_plus_upload')\\n self.formfile('minus_plus_upload', 'file', AUDIO_FILE)\\n self.submit200()\\n self.assert_equal(MinusPlusRecord.objects.count(), 2)\\n self.go200('minus_upload')\\n self.formfile('minus_upload', 'file', AUDIO_FILE)\\n self.submit200()\\n self.find('Плюс')\\n m = MinusRecord.objects.all()[0]\\n p = MinusPlusRecord.objects.all()[0]\\n self.assert_equal(p.minus , m)\\n self.assert_equal(MinusPlusRecord.objects.count(), 1)\\n self.go200('plus_delete', [p.id])\\n self.fv('object_delete','__confirm__', 1)\\n self.submit200()\\n self.assert_equal(MinusPlusRecord.objects.count(), 0)\",\n \"def test_that_logged_in_shows_edit_button(testapp):\\n testapp.post('/login', params={'Username': 'amos', 'Password': 'password'})\\n html = testapp.get('/journal/1').html\\n assert html.find('main').a.text == 'Edit'\",\n \"def test_delete_note(self):\\n\\n url = reverse(\\n 'crm-admin:note-delete',\\n kwargs={\\n 'pk': self.object.id\\n }\\n )\\n\\n # Test that the page load first\\n response = self.c.get(url)\\n self.assertEqual(response.status_code, 200)\\n\\n # Action detail with POST call\\n response = self.c.post(url)\\n self.assertEqual(response.status_code, 302)\\n\\n # Test that the record has been deleted\\n obj = Note.objects.filter(id=self.object.id)\\n self.assertEqual(obj.count(), 0)\",\n \"def test_no_edit_button_appears(self):\\n response = self.client.get(reverse('wagtailnews:index', kwargs={\\n 'pk': self.index.pk}))\\n self.assertNotContains(response, self.url)\",\n \"def test_publication_view_delete(self):\\n \\n test_response = self.client.get('/papers/14-3-3-proteins-a-number-of-functions-for-a-numbered-protein/delete/')\\n self.assertEqual(test_response.status_code, 200)\\n self.assertTrue('publication' in test_response.context) \\n self.assertTemplateUsed(test_response, 'confirm_delete.html')\\n self.assertEqual(test_response.context['publication'].pk, 1)\\n self.assertEqual(test_response.context['publication'].title, u'14-3-3 proteins: a number of functions for a numbered protein.')\\n\\n #verifies that a non-existent object returns a 404 error.\\n null_response = self.client.get('/papers/not-a-real-paper/delete/')\\n self.assertEqual(null_response.status_code, 404)\",\n \"def test_update_custom_button(self):\\n pass\",\n \"def test_delete1(self):\\n pass\",\n \"def test_that_not_logged_in_does_not_shows_edit_button(testapp):\\n html = testapp.get('/journal/1').html\\n assert not html.find('main').a\",\n \"def test_delete__DeleteForm__2(search_data, browser):\\n browser.login('mgr')\\n browser.keyword_search('church', 'Delete')\\n # Seleting the `cancel` button leads to the person list without deleting\\n # anybody:\\n browser.getControl('No, cancel').click()\\n assert 'Deletion canceled.' == browser.message\\n assert browser.PERSONS_LIST_URL == browser.url\\n assert 'Koch' in browser.contents\\n assert 'Liebig' in browser.contents\\n assert 'Velleuer' in browser.contents\",\n \"def delete(request):\\n return render(request, 'modify.html')\",\n \"def test_delete_view(self):\\n self.client.post(reverse('misago:admin:users:bans:new'), data={\\n 'check_type': '0',\\n 'banned_value': 'TestBan',\\n })\\n\\n test_ban = Ban.objects.get(banned_value='testban')\\n\\n response = self.client.post(reverse('misago:admin:users:bans:delete', kwargs={\\n 'pk': test_ban.pk\\n }))\\n self.assertEqual(response.status_code, 302)\\n\\n response = self.client.get(reverse('misago:admin:users:bans:index'))\\n self.client.get(response['location'])\\n response = self.client.get(response['location'])\\n\\n self.assertEqual(response.status_code, 200)\\n self.assertNotContains(response, test_ban.banned_value)\",\n \"def test_delete__DeleteForm__1(search_data, UserFactory, browser):\\n address_book = search_data\\n # Create a user -- the person of a user cannot be deleted using this search\\n # result handler.\\n UserFactory(address_book, u'Ben', u'Utzer', u'ben@example.com',\\n u'12345678', [], keywords=[u'church'])\\n browser.login('mgr')\\n browser.keyword_search('church')\\n # Only the selected persons get deleted. Deselected persons will not:\\n browser.getControl(name='persons:list').getControl(\\n value=\\\"Person-2\\\").selected = False # This this the person named \\\"Koch\\\"\\n browser.getControl('Apply on selected persons').displayValue = [\\n 'Delete']\\n browser.getControl(name='form.buttons.apply').click()\\n # The number of persons for deletion is shown on the question screen:\\n # (There are 3 persons with the church keyword in the fixture, one got\\n # deselected but there is additionally a newly created user.\\n assert ['3'] == browser.etree.xpath(\\n '//span[@id=\\\"form-widgets-count\\\"]/text()')\\n assert ('You are not able to delete a person who is referenced.'\\n in browser.contents)\\n assert browser.SEARCH_DELETE_URL == browser.url\\n browser.getControl('Yes, delete').click()\\n assert 'Selected persons deleted: 2' == browser.message\\n assert browser.PERSONS_LIST_URL == browser.url\\n # Only the two non-users got deleted:\\n assert 'Koch' in browser.contents\\n assert 'Utzer' in browser.contents\\n assert 'Liebig' not in browser.contents\\n assert 'Velleuer' not in browser.contents\",\n \"def click_the_edit_button_that_appears(driver):\\n driver.find_element_by_xpath(xpaths.users.eric_Edit_Button).click()\",\n \"def test_deleted(self):\\n event = Event.objects.all()[0]\\n\\n todo = TodoItem.objects.create(\\n event=event, completed=False, title=\\\"Test TODO3\\\",\\n due=datetime.date.today(), additional=\\\"\\\",\\n )\\n\\n assert todo in event.todoitem_set.all()\\n\\n self.client.get(reverse('todo_delete', args=[todo.pk]))\\n\\n assert event.todoitem_set.all().count() == 0\",\n \"def test_show_tag_edit(self):\\r\\n\\r\\n with app.test_client() as client:\\r\\n resp = client.get(f\\\"/tags/{self.tag.id}/edit\\\")\\r\\n html = resp.get_data(as_text=True)\\r\\n\\r\\n self.assertEqual(resp.status_code, 200)\\r\\n self.assertIn(\\\"Edit Tag\\\", html)\\r\\n self.assertIn(self.tag.name, html)\",\n \"def test_delete_activity_template(self):\\n pass\",\n \"def test_delete_run(self):\\n pass\",\n \"def test_delete_user_field(self):\\n pass\",\n \"def test_client_delete_view(self):\\r\\n response = self.test_client.post(\\r\\n reverse('client_delete', kwargs={'pk': self.client1_id}))\\r\\n self.assertEqual(response.status_code, 302)\\r\\n self.assertRaises(ObjectDoesNotExist,\\r\\n Client.objects.get,\\r\\n id=self.client1_id)\",\n \"def test_no_delete_button_appears_index(self):\\n response = self.client.get(reverse('wagtailnews:index', kwargs={\\n 'pk': self.index.pk}))\\n self.assertNotContains(response, self.url)\",\n \"def test_edit_mdt(self):\\n response = self.client.get(reverse('edit-mdt', args=[self.sample_type, self.mdt.id]))\\n self.assertContains(response, self.proband.gel_id)\\n self.assertEqual(response.status_code, 200)\",\n \"def test_delete7(self):\\n pass\",\n \"def test_before_delete_for_linked_resource(self):\\n resource = factories.Resource()\\n helpers.call_action(\\\"resource_delete\\\", id=resource[\\\"id\\\"])\\n with pytest.raises(p.toolkit.ObjectNotFound):\\n helpers.call_action(\\\"resource_show\\\", id=resource[\\\"id\\\"])\",\n \"def test_author_delete_post(self):\\n self.client.login(username=\\\"John\\\", password=\\\"newpass1234\\\")\\n response = self.client.post('/posts/1/delete/')\\n self.assertEqual(list(Post.objects.filter(id=1)), [])\",\n \"def test_create_custom_button(self):\\n pass\",\n \"def test_delete_case(self):\\n pass\",\n \"def test_delete_boat(self):\\n pass\",\n \"def click_bulk_edit_button(self):\\n self.click_element(self.bulk_edit_button_locator, True)\",\n \"def test_event_view_delete(self):\\n # delete event\\n request = self.factory.post('/module/event/del/1/', follow=True)\\n request.user = self.user\\n request.session = {}\\n response = event_del(request, 1)\\n self.assertEqual(response.status_code, 302)\\n\\n request = self.factory.post('/module/event/del/', {'select': '1'})\\n request.user = self.user\\n request.session = {}\\n response = event_del(request, 0)\\n self.assertEqual(response.status_code, 302)\",\n \"def test_delete__DeleteForm__3(search_data, browser, role):\\n browser.login(role)\\n browser.keyword_search('church')\\n # There is no delete option which can be applied:\\n assert ([\\n 'XLS export main (Exports person data and main addresses resp. '\\n 'phone numbers.)',\\n 'XLS export complete (Exports person data and all addresses resp. '\\n 'phone numbers.)',\\n 'E-Mail (Creates a link to send e-mails.)',\\n 'Names (Comma separated list of person names.)',\\n 'Checklist (List of person names with check-boxes.)',\\n \\\"iCalendar export birthday (Export person's birthdays as \\\"\\n \\\".ics file.)\\\",\\n 'Birthday list (Person names sorted by birthday.)',\\n ] == browser.getControl('Apply on selected persons').displayOptions)\\n browser.assert_forbidden(browser.SEARCH_DELETE_URL)\",\n \"def test_edit_boat(self):\\n pass\",\n \"def test_delete(self, client, users):\\n user = users[0]\\n url = reverse('users:delete', args=(user.pk,))\\n response = client.get(url)\\n assert response.status_code == 405\\n response = client.post(url)\\n assert response.status_code == 302\\n assert response.url == reverse('users:list')\\n assert not get_user_model().objects.filter(pk=user.pk).exists()\",\n \"def test_delete(self):\\n obj = self.provision_single_asset()\\n obj_id = obj.id\\n self.delete('widget', 200, params={'id': obj_id})\\n obj = self.session.query(self.widget_model).filter_by(id=obj_id).first()\\n assert obj is None\",\n \"def test_get_custom_button(self):\\n pass\",\n \"def test_add_button_appears(self):\\n response = self.client.get(reverse('wagtailnews:index', kwargs={\\n 'pk': self.index.pk}))\\n self.assertContains(response, self.url)\",\n \"def test_delete_record(self):\\n pass\",\n \"def test_delete__valid(self):\\n testing_config.sign_in('admin@example.com', 123567890)\\n\\n with register.app.test_request_context(self.request_path):\\n actual_json = self.handler.do_delete(self.feature_id)\\n self.assertEqual({'message': 'Done'}, actual_json)\\n\\n revised_feature = models.Feature.get_by_id(self.feature_id)\\n self.assertTrue(revised_feature.deleted)\",\n \"def test_edit(self):\\n # Test using the Trovebox class\\n html = self.client.photo.edit(self.photos[0])\\n self.assertIn(\\\"<form\\\", html.lower())\\n\\n # And the Photo object directly\\n html = self.photos[0].edit()\\n self.assertIn(\\\"<form\\\", html.lower())\",\n \"def test_edit_view(self):\\n target_url = url_for('content.edit_content')\\n redirect_url = url_for('users.login', next=target_url)\\n response = self.client.get(target_url)\\n self.assertEqual(response.status_code, 302)\\n self.assertRedirects(response, redirect_url)\",\n \"def test_delete_view_without_next_redirects_to_group_page(self):\\n self.client.login(username=\\\"John\\\", password=\\\"newpass1234\\\")\\n response = self.client.post('/posts/1/delete/')\\n self.assertIn(\\\"group\\\", response.url)\",\n \"def test_delete_but_no_view_permission(client):\\n user = user_with_permissions(\\\"polls.delete_poll\\\")\\n\\n url = reverse(\\\"admin:index\\\")\\n client.force_login(user)\\n\\n response = client.get(url)\\n assert parse_sidemenu(response) == {\\\"Global\\\": [\\\"/en/admin/\\\"], \\\"Polls\\\": [None]}\",\n \"def test_delete(self):\\n self.client.force_authenticate(user=self.admin)\\n\\n response = self.client.delete(\\n reverse(\\n 'retreat:waitqueuenotification-detail',\\n kwargs={'pk': 1},\\n ),\\n )\\n\\n self.assertEqual(\\n response.status_code,\\n status.HTTP_405_METHOD_NOT_ALLOWED\\n )\",\n \"def test_delete(self) -> None:\\n\\n expected = False\\n actual = self.helper.set_name(self.test_name).exists()\\n\\n self.assertEqual(expected, actual)\\n\\n self.helper.set_value(\\\"Hello, World!\\\")\\n\\n expected = True\\n actual = self.helper.exists()\\n\\n self.assertEqual(expected, actual)\\n\\n self.helper.delete()\\n\\n expected = False\\n actual = self.helper.exists()\\n\\n self.assertEqual(expected, actual)\",\n \"def collection_delete_confirm_btn(self):\\n collection_delete_confirm_btn_sitem = self.locator_finder_by_xpath(self.collection_delete_confirm_btn_id)\\n collection_delete_confirm_btn_sitem.click()\\n time.sleep(1)\",\n \"def test_get_delete_page(self):\\n\\n data = self.get_valid_data()\\n notification = reminders.Notification.objects.create(**data)\\n url = reverse('delete-notification', args=[notification.pk])\\n response = self.client.get(url)\\n self.assertEqual(response.status_code, 200)\",\n \"def test_get_delete_page(self):\\n\\n data = self.get_valid_data()\\n notification = reminders.Notification.objects.create(**data)\\n url = reverse('delete-notification', args=[notification.pk])\\n response = self.client.get(url)\\n self.assertEqual(response.status_code, 200)\",\n \"def delete():\\n click.echo('delete was called.')\",\n \"def test_calendar_user_view_delete(self):\\n # delete calendar_setting\\n request = self.factory.post('/module/calendar_user/del/4/', follow=True)\\n request.user = self.user\\n request.session = {}\\n #response = calendar_user_del(request, 4)\\n #self.assertEqual(response.status_code, 302)\\n\\n request = self.factory.post('/module/calendar_user/del/', {'select': '1'})\\n request.user = self.user\\n request.session = {}\\n #response = calendar_user_del(request, 0)\\n #self.assertEqual(response.status_code, 302)\",\n \"def test_delete_view_redirect_anauth_users_to_login_page(self):\\n response = self.client.get('/posts/1/delete/')\\n self.assertEqual(response.status_code, 302)\\n self.assertIn(\\\"login\\\", response.url)\",\n \"def test_delete_confirmation_template(self):\\n self.login()\\n\\n # BlogIndex needs translated pages before child pages can be translated\\n self.fr_blog_index = self.en_blog_index.copy_for_translation(self.fr_locale)\\n # Create a copy of the en_blog_post object as a translated page\\n self.fr_blog_post = self.en_blog_post.copy_for_translation(self.fr_locale)\\n\\n # Create an alias page to test the `translations_to_move_count`\\n # in the template context\\n new_page = CreatePageAliasAction(\\n self.en_blog_post,\\n recursive=False,\\n parent=self.en_blog_index,\\n update_slug=\\\"alias-page-slug\\\",\\n user=None,\\n )\\n new_page.execute(skip_permission_checks=True)\\n\\n response = self.client.get(\\n reverse(\\n \\\"wagtailadmin_pages:delete\\\",\\n args=(self.en_blog_post.id,),\\n ),\\n follow=True,\\n )\\n self.assertEqual(response.status_code, 200)\\n self.assertEqual(response.context[\\\"translation_count\\\"], 1)\\n self.assertEqual(response.context[\\\"translation_descendant_count\\\"], 0)\\n self.assertIn(\\n \\\"Deleting this page will also delete 1 translation of this page.\\\",\\n response.content.decode(\\\"utf-8\\\"),\\n )\",\n \"def test_delete(self):\\n\\n self.metadata.create_or_update(data=self.create)\\n\\n # Find by name\\n res_name = self.metadata.get_by_name(\\n entity=Dashboard, fqn=self.entity.fullyQualifiedName\\n )\\n # Then fetch by ID\\n res_id = self.metadata.get_by_id(\\n entity=Dashboard, entity_id=str(res_name.id.__root__)\\n )\\n\\n # Delete\\n self.metadata.delete(\\n entity=Dashboard, entity_id=str(res_id.id.__root__), recursive=True\\n )\\n\\n # Then we should not find it\\n res = self.metadata.list_entities(entity=Dashboard)\\n assert not next(\\n iter(\\n ent\\n for ent in res.entities\\n if ent.fullyQualifiedName == self.entity.fullyQualifiedName\\n ),\\n None,\\n )\",\n \"def test_calendar_view_delete(self):\\n # delete calendar\\n request = self.factory.post('/module/calendar/del/1/', follow=True)\\n request.user = self.user\\n request.session = {}\\n response = calendar_del(request, 1)\\n self.assertEqual(response.status_code, 302)\\n\\n request = self.factory.post('/module/calendar/del/', {'select': '1'})\\n request.user = self.user\\n request.session = {}\\n response = calendar_del(request, 0)\\n self.assertEqual(response.status_code, 302)\",\n \"def test_deleting_post(self):\\n\\n delete_post(1)\\n post = Post.query.get(1)\\n self.assertEqual(post, None)\",\n \"def test_delete_link_resources(self):\\n g = groups.get_by_name(\\\"First Group\\\")\\n \\n self.open_url('/group/list')\\n \\n deletelink = self.wd.find_element(By.ID, \\\"delete-link-{0}\\\".format(g.id))\\n deletelink.click()\\n \\n self.assertEquals('Delete Group', self.wd.title)\\n \\n self.submit_form(\\\"delete_form\\\")\\n \\n alert = self.wd.switch_to_alert()\\n self.assertEqual(\\\"Are you sure you wish to permanently delete this group and specified resources?\\\", alert.text)\\n alert.accept()\\n \\n self.assert_notification(\\\"Group deleted: {0} (id={1})\\\".format(g.name, g.id))\\n self.assert_not_in_list_table(g.name)\",\n \"def test_has_tagging_button(self):\\n response = self.client.get(self.get_url(self.trait.pk))\\n context = response.context\\n self.assertTrue(context['show_tag_button'])\\n self.assertContains(response, reverse('trait_browser:source:traits:tagging', kwargs={'pk': self.trait.pk}))\",\n \"def test_has_tagging_button(self):\\n response = self.client.get(self.get_url(self.trait.pk))\\n context = response.context\\n self.assertTrue(context['show_tag_button'])\\n self.assertContains(response, reverse('trait_browser:source:traits:tagging', kwargs={'pk': self.trait.pk}))\",\n \"def test_api_can_delete_post(self):\\n post = Post.objects.get()\\n response = self.client.delete(\\n reverse('details', kwargs={'pk': post.id}),\\n format='json',\\n follow=True)\\n\\n self.assertEquals(response.status_code, status.HTTP_204_NO_CONTENT)\",\n \"def test_api_can_delete_post(self):\\n post = Post.objects.get()\\n response = self.client.delete(\\n reverse('details', kwargs={'pk': post.id}),\\n format='json',\\n follow=True)\\n\\n self.assertEquals(response.status_code, status.HTTP_204_NO_CONTENT)\",\n \"def test_otoroshi_controllers_adminapi_tcp_service_api_controller_delete_entity_action(self):\\n pass\",\n \"def test_edit_view(self):\\n self.client.post(reverse('misago:admin:users:bans:new'), data={\\n 'check_type': '0',\\n 'banned_value': 'Admin',\\n })\\n\\n test_ban = Ban.objects.get(banned_value='admin')\\n form_link = reverse('misago:admin:users:bans:edit', kwargs={'pk': test_ban.pk})\\n\\n response = self.client.post(form_link, data={\\n 'check_type': '1',\\n 'banned_value': 'test@test.com',\\n 'user_message': 'Lorem ipsum dolor met',\\n 'staff_message': 'Sit amet elit',\\n 'expires_on': '',\\n })\\n self.assertEqual(response.status_code, 302)\\n\\n response = self.client.get(reverse('misago:admin:users:bans:index'))\\n response = self.client.get(response['location'])\\n self.assertEqual(response.status_code, 200)\\n self.assertContains(response, 'test@test.com')\",\n \"def test_edit_post():\\n driver = webdriver.Chrome()\\n driver.get('https://cmput404group10.herokuapp.com')\\n\\n username = driver.find_element_by_id(\\\"username\\\")\\n username.send_keys(\\\"ronWeasley\\\")\\n\\n password = driver.find_element_by_name(\\\"password\\\")\\n password.send_keys(\\\"ualberta123\\\")\\n\\n driver.find_element_by_xpath('/html/body/div/div/div/div/div/div/div[2]/div/form/div[3]/button').click()\\n\\n driver.find_element_by_xpath('//*[@id=\\\"accordionSidebar\\\"]/li[2]/a').click()\\n\\n assert driver.page_source.__contains__(\\\"Selenium Test\\\")\\n assert not driver.page_source.__contains__(\\\"Selenium Edit Post\\\")\\n\\n driver.find_element_by_link_text('Edit').click()\\n\\n title = driver.find_element_by_xpath('//*[@id=\\\"id_title\\\"]')\\n title.clear()\\n title.send_keys(\\\"Selenium Edit Post\\\")\\n\\n driver.find_element_by_xpath('//*[@id=\\\"content\\\"]/div/div/form/button').click()\\n assert driver.page_source.__contains__(\\\"Selenium Edit Post\\\")\",\n \"def test_delete_user(self):\\n pass\",\n \"def test_delete_user(self):\\n pass\",\n \"def test_delete_ingredient(self):\\n ingredient = Ingredient.objects.create(user=self.user, name='Lettuce')\\n url = detail_url(ingredient.id)\\n res = self.client.delete(url)\\n\\n self.assertEqual(res.status_code, status.HTTP_204_NO_CONTENT)\\n ingredients = Ingredient.objects.filter(user=self.user)\\n self.assertFalse(ingredients.exists())\",\n \"def test_not_author_delete_post(self):\\n self.client.login(username=\\\"Bill\\\", password=\\\"newpass1234\\\")\\n response = self.client.post('/posts/1/delete/', {\\\"next\\\": \\\"\\\"})\\n self.assertNotEqual(list(Post.objects.filter(id=1)), [])\",\n \"def test_delete_note(self):\\n pass\",\n \"def test_delete_admin_from_org(self):\\n pass\",\n \"def test_delete(self):\\n\\n test_user = get_user_model().objects.create_user(username='tester',password='pass')\\n test_user.save()\\n\\n test_book = Book.objects.create(\\n publisher = test_user,\\n name = 'Title of Blog',\\n description = 'Words about the blog'\\n )\\n\\n test_book.save()\\n\\n book = Book.objects.get()\\n\\n url = reverse('book_detail', kwargs={'pk': book.id})\\n\\n\\n response = self.client.delete(url)\\n\\n self.assertEquals(response.status_code, status.HTTP_204_NO_CONTENT, url)\",\n \"def test_xml_template_delete(self):\\n XmlTemplate.delete_by_id(1)\\n self.assertEqual(XmlTemplate.objects.count(), 1)\\n self.assertFalse(XmlTemplate.objects.filter(pk=1).exists())\",\n \"def test_creator_in_group_can_delete_tab(self):\\n\\n self.client.login(username='tab', password='tab')\\n expected_url = reverse('group_view', args=(self.group.pk,))\\n\\n utils.test_can_access(self, self.url,\\n post_redirect_url=expected_url)\\n self.assertEqual(len(Tab.objects.all()), 0)\",\n \"def test_edit_tag(self):\\r\\n\\r\\n with app.test_client() as client:\\r\\n d = {\\\"name\\\": \\\"DC\\\"}\\r\\n resp = client.post(f\\\"/tags/{self.tag.id}/edit\\\", data=d, follow_redirects=True) \\r\\n html = resp.get_data(as_text=True)\\r\\n\\r\\n self.assertEqual(resp.status_code, 200) \\r\\n self.assertIn(\\\"DC\\\", html)\",\n \"def test_user_logged_in_get_displays_delete_account_form(self):\\n self.assertTrue(self.login())\\n get_response = self.get_delete_account()\\n self.assertEqual(get_response.status_code, 200)\\n form = get_response.context.get('form')\\n self.assertIsInstance(form, DeleteAccountForm)\",\n \"def test_not_author_delete_group(self):\\n self.client.login(username = \\\"Bill\\\", password = \\\"newpass1234\\\")\\n response = self.client.post('/groups/new_group/edit/', {\\\"name\\\":\\\"new_group4\\\", \\\"description\\\":\\\"some descr\\\"})\\n self.assertEqual(list(Group.objects.filter(slug=\\\"new_group4\\\")), [])\",\n \"def test_post_delete_logged_in(self):\\n url = reverse('post-detail', kwargs={'pk': self.post.id})\\n self.client.force_authenticate(user=self.user)\\n response = self.client.delete(url)\\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)\",\n \"def test_delete_detail(self):\\n story = create_story(title=\\\"Test Story\\\", summary=\\\"Test Summary\\\",\\n byline=\\\"Test Byline\\\", status=\\\"published\\\",\\n language=\\\"en\\\", author=self.user)\\n layout = SectionLayout.objects.get(sectionlayouttranslation__name=\\\"Side by Side\\\")\\n container1 = Container.objects.get(name='left')\\n container2 = Container.objects.get(name='right')\\n section = create_section(title=\\\"Test Section 1\\\", story=story,\\n layout=layout)\\n self.assertEqual(Section.objects.filter(story=story).count(), 1)\\n self.api_client.client.login(username=self.username,\\n password=self.password)\\n uri = '/api/0.1/stories/%s/sections/%s/' % (story.story_id,\\n section.section_id)\\n resp = self.api_client.delete(uri)\\n self.assertHttpAccepted(resp)\\n self.assertEqual(Section.objects.filter(story=story).count(), 0)\\n self.assertEqual(\\n Section.objects.filter(section_id=section.section_id).count(),\\n 0)\",\n \"def test_delete_device_template(self):\\n pass\",\n \"def test_delete_order(self):\\n self.orders_list.place_order(self.order)\\n self.orders_list.place_order(self.order)\\n self.assertEqual(self.orders_list.deletes_order(1), \\\"Order successfully trashed\\\")\\n self.assertEqual(len(self.orders_list.get_orders()), 1)\",\n \"def test_none_admin_delete(self):\\n\\n with self.client:\\n token = self.customer()\\n id = 1\\n response = self.client.delete('api/v1/meals/{}'.format(id),\\n headers=({\\\"token\\\": token}))\\n data = json.loads(response.data.decode())\\n self.assertEqual(data.get('message'),\\n \\\"Customer is not authorized to access this page\\\")\\n self.assertEqual(response.status_code, 401)\",\n \"def test_get_edit(self):\\n response = self.get('/study/edit/1')\\n self.assertEqual(response.code, 200)\\n self.assertNotEqual(str(response.body), \\\"\\\")\",\n \"def test_delete_idea_not_confirm(self):\\n self.newidea()\\n rv = self.app.post('/delete/idea/1',\\n data=dict(),\\n follow_redirects=True)\\n self.assertIn(b'required', rv.data)\",\n \"def test_delete(self):\\n query = {\\\"id\\\":0}\\n result = self.app.delete('/testParaDelete', query_string=query)\\n self.assertEqual(result.status_code, 200)\\n self.assertEqual(result.data, 'ok')\",\n \"def test_security_on_delete(self):\\n # test the delete product url\\n product = Product.objects.all()[0]\\n url = '/product/xml/%s/' % product.item_number\\n response = self.client.delete(url)\\n self.failUnlessEqual(response.status_code, 401)\",\n \"def test_delete(self):\\n # add a task\\n self.add(title=\\\"Sample task doing\\\", description=\\\"for sample\\\", state=\\\"doing\\\")\\n task = Task.query.filter_by(title='Sample task doing').first()\\n\\n # delete\\n self.delete(id=task.id)\\n task = Task.query.filter_by(title='Sample task doing').first()\\n self.assertIsNone(task)\",\n \"def test_successfult_post_deletion(self):\\n self.user.is_moderator = True\\n self.user.save()\\n response = self.client.delete(reverse('api:posts-detail', kwargs={'pk': self.post1.id}))\\n self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)\\n self.assertEqual(Post.objects.count(), 1)\",\n \"def test_edit(self):\\n\\n\\t\\titem_id = mock_item()[0]\\n\\n\\t\\titem_data = {'title': 'Item Two', 'author': 'Author Two',\\n\\t\\t\\t'location': 'Location Two'}\\n\\t\\tmodels.edit(item_id, item_data)\\n\\n\\t\\titem = models.item(item_id)\\n\\n\\t\\tself.assertEqual(item['title'], item_data['title'])\\n\\t\\tself.assertEqual(item['author'], item_data['author'])\\n\\t\\tself.assertEqual(item['location'], item_data['location'])\",\n \"def test_author_view(self):\\n table = self.get_change_page_form(self.user_1_client, self.question_1.pk)\\n self.assertInHTML('<label>Title:</label><div class=\\\"readonly\\\">Lorem</div>', table)\\n # The label's `for` attribute is present only on editable fields\\n self.assertInHTML('<label class=\\\"required\\\" for=\\\"id_body\\\">Body:</label>', table)\\n self.assertInHTML(\\n '<label>Author:</label><div class=\\\"readonly\\\"><a href=\\\"/auth/user/2/change/\\\">user_1</a></div>', table)\\n self.assertInHTML(\\n '<div><label>Is published:</label><div class=\\\"readonly\\\"><img src=\\\"/static/admin/img/icon-yes.svg\\\" '\\n 'alt=\\\"True\\\"></div></div>', table)\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.8166414","0.7414952","0.723374","0.7127024","0.6995213","0.68870395","0.6840543","0.67911434","0.6724883","0.6652456","0.66225034","0.65894556","0.655768","0.6549066","0.6507977","0.6503928","0.6462864","0.6460414","0.64468193","0.64352983","0.637209","0.63582546","0.635654","0.6342874","0.6330053","0.63255554","0.6272843","0.62445116","0.6240054","0.6237072","0.6221955","0.6217231","0.6216686","0.6208181","0.61954623","0.6185083","0.6168857","0.61445737","0.6129575","0.61277914","0.61209273","0.61118895","0.61102253","0.6101942","0.6089017","0.60813147","0.6080826","0.6078557","0.60779476","0.6075207","0.60682666","0.6067965","0.605007","0.6044292","0.60320157","0.60318696","0.6023016","0.60221803","0.6019921","0.6019921","0.60068566","0.5990742","0.59817445","0.5976049","0.5969945","0.5969734","0.5963729","0.59553015","0.5955131","0.5955131","0.59469646","0.59469646","0.59256375","0.5924418","0.592108","0.59146684","0.59146684","0.5910178","0.58922386","0.589082","0.5888261","0.5887006","0.58827764","0.5877819","0.5869483","0.58661824","0.58650494","0.5861645","0.5859305","0.5857764","0.5847511","0.5840206","0.58372796","0.5836534","0.58353865","0.58309585","0.5827997","0.5826546","0.5821448","0.58193713"],"string":"[\n \"0.8166414\",\n \"0.7414952\",\n \"0.723374\",\n \"0.7127024\",\n \"0.6995213\",\n \"0.68870395\",\n \"0.6840543\",\n \"0.67911434\",\n \"0.6724883\",\n \"0.6652456\",\n \"0.66225034\",\n \"0.65894556\",\n \"0.655768\",\n \"0.6549066\",\n \"0.6507977\",\n \"0.6503928\",\n \"0.6462864\",\n \"0.6460414\",\n \"0.64468193\",\n \"0.64352983\",\n \"0.637209\",\n \"0.63582546\",\n \"0.635654\",\n \"0.6342874\",\n \"0.6330053\",\n \"0.63255554\",\n \"0.6272843\",\n \"0.62445116\",\n \"0.6240054\",\n \"0.6237072\",\n \"0.6221955\",\n \"0.6217231\",\n \"0.6216686\",\n \"0.6208181\",\n \"0.61954623\",\n \"0.6185083\",\n \"0.6168857\",\n \"0.61445737\",\n \"0.6129575\",\n \"0.61277914\",\n \"0.61209273\",\n \"0.61118895\",\n \"0.61102253\",\n \"0.6101942\",\n \"0.6089017\",\n \"0.60813147\",\n \"0.6080826\",\n \"0.6078557\",\n \"0.60779476\",\n \"0.6075207\",\n \"0.60682666\",\n \"0.6067965\",\n \"0.605007\",\n \"0.6044292\",\n \"0.60320157\",\n \"0.60318696\",\n \"0.6023016\",\n \"0.60221803\",\n \"0.6019921\",\n \"0.6019921\",\n \"0.60068566\",\n \"0.5990742\",\n \"0.59817445\",\n \"0.5976049\",\n \"0.5969945\",\n \"0.5969734\",\n \"0.5963729\",\n \"0.59553015\",\n \"0.5955131\",\n \"0.5955131\",\n \"0.59469646\",\n \"0.59469646\",\n \"0.59256375\",\n \"0.5924418\",\n \"0.592108\",\n \"0.59146684\",\n \"0.59146684\",\n \"0.5910178\",\n \"0.58922386\",\n \"0.589082\",\n \"0.5888261\",\n \"0.5887006\",\n \"0.58827764\",\n \"0.5877819\",\n \"0.5869483\",\n \"0.58661824\",\n \"0.58650494\",\n \"0.5861645\",\n \"0.5859305\",\n \"0.5857764\",\n \"0.5847511\",\n \"0.5840206\",\n \"0.58372796\",\n \"0.5836534\",\n \"0.58353865\",\n \"0.58309585\",\n \"0.5827997\",\n \"0.5826546\",\n \"0.5821448\",\n \"0.58193713\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.82615966"},"document_rank":{"kind":"string","value":"0"}}},{"rowIdx":86784,"cells":{"query":{"kind":"string","value":"Test that the delete button does not appear on the edit page"},"document":{"kind":"string","value":"def test_no_delete_button_appears_edit(self):\n response = self.client.get(reverse('wagtailnews:edit', kwargs={\n 'pk': self.index.pk, 'newsitem_pk': self.newsitem.pk}))\n self.assertNotContains(response, self.url)"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def test_delete_button_appears_edit(self):\n response = self.client.get(reverse('wagtailnews:edit', kwargs={\n 'pk': self.index.pk, 'newsitem_pk': self.newsitem.pk}))\n self.assertContains(response, self.url)","def test_delete_custom_button(self):\n pass","def test_no_edit_button_appears(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertNotContains(response, self.url)","def test_that_not_logged_in_does_not_shows_edit_button(testapp):\n html = testapp.get('/journal/1').html\n assert not html.find('main').a","def test_no_delete_button_appears_index(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertNotContains(response, self.url)","def test_error_html_using_delete(self):\n pass","def test_commentary_view_delete(self):\n \n test_response = self.client.get('/papers/commentary/1/delete')\n self.assertEqual(test_response.status_code, 200)\n self.assertTrue('object' in test_response.context) \n self.assertTemplateUsed(test_response, 'base.html')\n self.assertTemplateUsed(test_response, 'confirm_delete.html')","def test_delete_button_appears_index(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertContains(response, self.url)","def test_delete_permission(self):\r\n self.assertFalse(self.creator_admin.has_delete_permission(self.request))","def test_edit_button_appears(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertContains(response, self.url)","def test_delete(self):\n pass","def test_post_delete_admin(self):\n url = reverse('post-detail', kwargs={'pk': self.post.id})\n self.client.force_authenticate(user=self.superuser)\n response = self.client.delete(url)\n self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)","def test_no_add_button_appears(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertNotContains(response, self.url)","def test_no_tagging_button(self):\n response = self.client.get(self.get_url(self.trait.pk))\n context = response.context\n self.assertNotContains(response, reverse('trait_browser:source:traits:tagging', kwargs={'pk': self.trait.pk}))\n self.assertFalse(context['show_tag_button'])","def test_delete__DeleteForm__4(address_book, browser, role):\n browser.login(role)\n browser.assert_forbidden(browser.SEARCH_DELETE_URL)","def test_delete_but_no_view_permission(client):\n user = user_with_permissions(\"polls.delete_poll\")\n\n url = reverse(\"admin:index\")\n client.force_login(user)\n\n response = client.get(url)\n assert parse_sidemenu(response) == {\"Global\": [\"/en/admin/\"], \"Polls\": [None]}","def test_no_delete_permission(client):\n user = user_with_permissions(\"polls.view_poll\")\n poll = Poll.objects.create(owner=user, text=\"question\")\n\n url = reverse(\"admin:polls_poll_change\", args=(poll.pk,))\n delete_url = reverse(\"admin:polls_poll_delete\", args=(poll.pk,))\n client.force_login(user)\n\n response = client.get(url)\n assert delete_url not in response.content.decode()","def test_delete(admin_client):\n book = BookFactory()\n url = reverse(\"admin:books_book_delete\", args=(book.pk,))\n\n response = admin_client.get(url)\n templates_used = [t.name for t in response.templates]\n\n assert response.status_code == 200\n render_counts = {x: templates_used.count(x) for x in set(templates_used)}\n\n # The number of times each template was rendered\n assert render_counts == {\n \"admin/delete_confirmation.html\": 1,\n \"admin/base_site.html\": 1,\n \"admin/base.html\": 1,\n \"admin/includes/object_delete_summary.html\": 1,\n \"jazzmin/includes/ui_builder_panel.html\": 1,\n }\n\n # The templates that were used\n assert set(templates_used) == {\n \"admin/delete_confirmation.html\",\n \"admin/base_site.html\",\n \"admin/base.html\",\n \"admin/includes/object_delete_summary.html\",\n \"jazzmin/includes/ui_builder_panel.html\",\n }\n\n response = admin_client.post(url, data={\"post\": \"yes\"}, follow=True)\n\n # We deleted our object, and are now back on the changelist\n assert not Book.objects.all().exists()\n assert response.resolver_match.url_name == \"books_book_changelist\"","def test_delete_idea_not_confirm(self):\n self.newidea()\n rv = self.app.post('/delete/idea/1',\n data=dict(),\n follow_redirects=True)\n self.assertIn(b'required', rv.data)","def test_not_author_delete_post(self):\n self.client.login(username=\"Bill\", password=\"newpass1234\")\n response = self.client.post('/posts/1/delete/', {\"next\": \"\"})\n self.assertNotEqual(list(Post.objects.filter(id=1)), [])","def test_delete_item_using_delete(self):\n pass","def assert_can_delete(selenium, obj, can_delete):\n info_page = _get_ui_service(selenium, obj=obj).open_info_page_of_obj(obj)\n assert info_page.three_bbs.delete_option.exists == can_delete\n if can_delete:\n info_page.three_bbs.select_delete().confirm_delete()\n selenium_utils.open_url(obj.url)\n assert ui_utils.is_error_404()","def test_before_delete_for_linked_resource(self):\n resource = factories.Resource()\n helpers.call_action(\"resource_delete\", id=resource[\"id\"])\n with pytest.raises(p.toolkit.ObjectNotFound):\n helpers.call_action(\"resource_show\", id=resource[\"id\"])","def test_delete_user_field(self):\n pass","def test_delete_post():\n\n driver = webdriver.Chrome()\n driver.get('https://cmput404group10.herokuapp.com')\n\n username = driver.find_element_by_id(\"username\")\n username.send_keys(\"ronWeasley\")\n\n password = driver.find_element_by_name(\"password\")\n password.send_keys(\"ualberta123\")\n\n driver.find_element_by_xpath('/html/body/div/div/div/div/div/div/div[2]/div/form/div[3]/button').click()\n\n driver.find_element_by_xpath('//*[@id=\"accordionSidebar\"]/li[2]/a').click()\n assert driver.page_source.__contains__(\"Selenium Test Content\")\n\n driver.find_element_by_link_text('Delete').click()\n\n driver.find_element_by_xpath('//*[@id=\"content\"]/div/form/input[2]').click()\n\n assert not driver.page_source.__contains__(\"Selenium Test Content\")","def test_publication_view_delete(self):\n \n test_response = self.client.get('/papers/14-3-3-proteins-a-number-of-functions-for-a-numbered-protein/delete/')\n self.assertEqual(test_response.status_code, 200)\n self.assertTrue('publication' in test_response.context) \n self.assertTemplateUsed(test_response, 'confirm_delete.html')\n self.assertEqual(test_response.context['publication'].pk, 1)\n self.assertEqual(test_response.context['publication'].title, u'14-3-3 proteins: a number of functions for a numbered protein.')\n\n #verifies that a non-existent object returns a 404 error.\n null_response = self.client.get('/papers/not-a-real-paper/delete/')\n self.assertEqual(null_response.status_code, 404)","def test_delete_activity_template(self):\n pass","def test_deleted(self):\n event = Event.objects.all()[0]\n\n todo = TodoItem.objects.create(\n event=event, completed=False, title=\"Test TODO3\",\n due=datetime.date.today(), additional=\"\",\n )\n\n assert todo in event.todoitem_set.all()\n\n self.client.get(reverse('todo_delete', args=[todo.pk]))\n\n assert event.todoitem_set.all().count() == 0","def test_can_not_add_more(self):\n set_up_one_user(self, 1, 0)\n login = self.client.login(username='test', password='2HJ1vRV0Z&3iD')\n response = self.client.get(reverse('index'))\n self.assertEqual(response.status_code, 200)\n self.assertContains(response, '<button id=\"modalButton\" type=\"button\" class=\"btn btn-info\" data-toggle=\"modal\" data-target=\"#myModal\" disabled=\"True\">Add new notification</button>')","def test_none_admin_delete(self):\n\n with self.client:\n token = self.customer()\n id = 1\n response = self.client.delete('api/v1/meals/{}'.format(id),\n headers=({\"token\": token}))\n data = json.loads(response.data.decode())\n self.assertEqual(data.get('message'),\n \"Customer is not authorized to access this page\")\n self.assertEqual(response.status_code, 401)","def test_delete_view(self):\n self.client.post(reverse('misago:admin:users:bans:new'), data={\n 'check_type': '0',\n 'banned_value': 'TestBan',\n })\n\n test_ban = Ban.objects.get(banned_value='testban')\n\n response = self.client.post(reverse('misago:admin:users:bans:delete', kwargs={\n 'pk': test_ban.pk\n }))\n self.assertEqual(response.status_code, 302)\n\n response = self.client.get(reverse('misago:admin:users:bans:index'))\n self.client.get(response['location'])\n response = self.client.get(response['location'])\n\n self.assertEqual(response.status_code, 200)\n self.assertNotContains(response, test_ban.banned_value)","def test_empty_ui(self):","def test_plusrecors_delete(self):\n f = FlatPage.objects.create(title = 'f',\n url = '/minus/upload/plus/done/',\n content = 'flapi')\n self.go200('minus_plus_upload')\n self.formfile('minus_plus_upload', 'file', AUDIO_FILE)\n self.submit200()\n self.url('minus_plus_upload_done')\n self.find('flapi')\n self.go200('minus_plus_upload')\n self.formfile('minus_plus_upload', 'file', AUDIO_FILE)\n self.submit200()\n self.assert_equal(MinusPlusRecord.objects.count(), 2)\n self.go200('minus_upload')\n self.formfile('minus_upload', 'file', AUDIO_FILE)\n self.submit200()\n self.find('Плюс')\n m = MinusRecord.objects.all()[0]\n p = MinusPlusRecord.objects.all()[0]\n self.assert_equal(p.minus , m)\n self.assert_equal(MinusPlusRecord.objects.count(), 1)\n self.go200('plus_delete', [p.id])\n self.fv('object_delete','__confirm__', 1)\n self.submit200()\n self.assert_equal(MinusPlusRecord.objects.count(), 0)","def test_delete_boat(self):\n pass","def test_delete_run(self):\n pass","def test_remove_form(self):\n set_up_one_user(self, 1, 0)\n login = self.client.login(username='test', password='2HJ1vRV0Z&3iD')\n s1 = Search.objects.get(terms_en=\"test0\")\n self.assertEqual(s1.user, self.user)\n response = self.client.post(reverse('index'), {'pk': s1.pk})\n s2 = Search.objects.filter(terms_en=\"test1\")\n self.assertEqual(response.status_code, 302)\n self.assertEqual(len(s2), 0)","def test_post_delete_unauthorized(self):\n url = reverse('post-detail', kwargs={'pk': self.post.id})\n response = self.client.delete(url)\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)","def test_security_on_delete(self):\n # test the delete product url\n product = Product.objects.all()[0]\n url = '/product/xml/%s/' % product.item_number\n response = self.client.delete(url)\n self.failUnlessEqual(response.status_code, 401)","def test_delete_view_without_next_redirects_to_group_page(self):\n self.client.login(username=\"John\", password=\"newpass1234\")\n response = self.client.post('/posts/1/delete/')\n self.assertIn(\"group\", response.url)","def test_delete1(self):\n pass","def test_no_delete_entry_on_rebuild_server_response(self):\n self.validate_no_deletes_entry_returned()","def test_not_author_delete_group(self):\n self.client.login(username = \"Bill\", password = \"newpass1234\")\n response = self.client.post('/groups/new_group/edit/', {\"name\":\"new_group4\", \"description\":\"some descr\"})\n self.assertEqual(list(Group.objects.filter(slug=\"new_group4\")), [])","def test_delete_case(self):\n pass","def test_delete_note(self):\n\n url = reverse(\n 'crm-admin:note-delete',\n kwargs={\n 'pk': self.object.id\n }\n )\n\n # Test that the page load first\n response = self.c.get(url)\n self.assertEqual(response.status_code, 200)\n\n # Action detail with POST call\n response = self.c.post(url)\n self.assertEqual(response.status_code, 302)\n\n # Test that the record has been deleted\n obj = Note.objects.filter(id=self.object.id)\n self.assertEqual(obj.count(), 0)","def test_init_disables_delete_magazin_field(self):\n for can_delete in (True, False):\n with self.subTest(can_delete=can_delete):\n form = self.form_class(can_delete_magazin=can_delete)\n self.assertEqual(form.fields['delete_magazin'].disabled, not can_delete)","def check_deletable(self):\n item = self.albums_artists.currentItem()\n self.delete_button.setEnabled(False)\n if item in self.new_artists:\n self.delete_button.setEnabled(True)","def test_delete7(self):\n pass","def test_unpublish_button_appears(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertContains(response, self.url)","def test_delete_field(self):\r\n self.client.ajax_post(\r\n self.problem_update_url,\r\n data={'metadata': {'rerandomize': 'onreset'}}\r\n )\r\n problem = self.get_item_from_modulestore(self.problem_usage_key, True)\r\n self.assertEqual(problem.rerandomize, 'onreset')\r\n self.client.ajax_post(\r\n self.problem_update_url,\r\n data={'metadata': {'rerandomize': None}}\r\n )\r\n problem = self.get_item_from_modulestore(self.problem_usage_key, True)\r\n self.assertEqual(problem.rerandomize, 'never')","def test_delete(self):\n self.client.force_authenticate(user=self.admin)\n\n response = self.client.delete(\n reverse(\n 'retreat:waitqueuenotification-detail',\n kwargs={'pk': 1},\n ),\n )\n\n self.assertEqual(\n response.status_code,\n status.HTTP_405_METHOD_NOT_ALLOWED\n )","def test_delete__not_found(self):\n testing_config.sign_in('admin@example.com', 123567890)\n\n with register.app.test_request_context(self.request_path):\n with self.assertRaises(werkzeug.exceptions.NotFound):\n self.handler.do_delete(self.feature_id + 1)\n\n revised_feature = models.Feature.get_by_id(self.feature_id)\n self.assertFalse(revised_feature.deleted)","def test_public_status_page_delete_public_status_page(self):\n pass","def test_homepage_has_correct_buttons_showing_when_not_logged_in(testapp):\n html = testapp.get('/').html\n logout = html.find(class_=\"navbar-right\").text\n create = html.find(href=\"http://localhost/journal/new-entry\")\n assert logout == '\\n Login\\n'\n assert not create","def test_delete_link_no_resources(self):\n g = groups.get_by_name(\"fifth group\")\n \n self.open_url('/group/list')\n \n deletelink = self.wd.find_element(By.ID, \"delete-link-{0}\".format(g.id))\n deletelink.click()\n \n alert = self.wd.switch_to_alert()\n self.assertEqual(\"Are you sure you want to remove group {0} (id={1})\".format(g.name, g.id), alert.text)\n alert.accept()\n \n self.assert_notification(\"Group deleted: {0} (id={1})\".format(g.name, g.id))\n self.assert_not_in_list_table(g.name)","def test_not_creator_cannot_delete_tab(self):\n\n logged_user = utils.create_user_and_authenticate(self)\n self.group.users.add(logged_user)\n expected_url = reverse('group_view', args=(self.group.pk,))\n\n utils.test_cannot_access(self, self.url, expected_url)\n self.assertEqual(len(Tab.objects.all()), 1)","def test_client_delete_view(self):\r\n response = self.test_client.post(\r\n reverse('client_delete', kwargs={'pk': self.client1_id}))\r\n self.assertEqual(response.status_code, 302)\r\n self.assertRaises(ObjectDoesNotExist,\r\n Client.objects.get,\r\n id=self.client1_id)","def test_delete_book(self):\n response = self.client.delete(self.book.get_absolute_url()) \n self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)\n self.assertEqual(Book.objects.count(), 0)","def test_remove_form_negative_pk(self):\n form = RemoveForm({'pk': -1})\n self.assertFalse(form.is_valid())","def test_delete_record(self):\n pass","def test_post_delete_logged_in(self):\n url = reverse('post-detail', kwargs={'pk': self.post.id})\n self.client.force_authenticate(user=self.user)\n response = self.client.delete(url)\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)","def delete(request):\n return render(request, 'modify.html')","def test_method_excludes(self):\n self.assertContains(self.response, \"<td>get_full_name</td>\")\n self.assertNotContains(self.response, \"<td>_get_full_name</td>\")\n self.assertNotContains(self.response, \"<td>add_image</td>\")\n self.assertNotContains(self.response, \"<td>delete_image</td>\")\n self.assertNotContains(self.response, \"<td>set_status</td>\")\n self.assertNotContains(self.response, \"<td>save_changes</td>\")","def test_delete(self, client, users):\n user = users[0]\n url = reverse('users:delete', args=(user.pk,))\n response = client.get(url)\n assert response.status_code == 405\n response = client.post(url)\n assert response.status_code == 302\n assert response.url == reverse('users:list')\n assert not get_user_model().objects.filter(pk=user.pk).exists()","def test_delete__DeleteForm__2(search_data, browser):\n browser.login('mgr')\n browser.keyword_search('church', 'Delete')\n # Seleting the `cancel` button leads to the person list without deleting\n # anybody:\n browser.getControl('No, cancel').click()\n assert 'Deletion canceled.' == browser.message\n assert browser.PERSONS_LIST_URL == browser.url\n assert 'Koch' in browser.contents\n assert 'Liebig' in browser.contents\n assert 'Velleuer' in browser.contents","def test_deleting_post(self):\n\n delete_post(1)\n post = Post.query.get(1)\n self.assertEqual(post, None)","def test_xml_template_delete(self):\n XmlTemplate.delete_by_id(1)\n self.assertEqual(XmlTemplate.objects.count(), 1)\n self.assertFalse(XmlTemplate.objects.filter(pk=1).exists())","def test_delete_ingredient(self):\n ingredient = Ingredient.objects.create(user=self.user, name='Lettuce')\n url = detail_url(ingredient.id)\n res = self.client.delete(url)\n\n self.assertEqual(res.status_code, status.HTTP_204_NO_CONTENT)\n ingredients = Ingredient.objects.filter(user=self.user)\n self.assertFalse(ingredients.exists())","def beforeDelete(self):","def test_delete_admin_from_org(self):\n pass","def test_delete(self):\n obj = self.provision_single_asset()\n obj_id = obj.id\n self.delete('widget', 200, params={'id': obj_id})\n obj = self.session.query(self.widget_model).filter_by(id=obj_id).first()\n assert obj is None","def test07_remove_first_student_with_admin(self):\n print(self.students_page.students_table())\n first_student = self.students_page.students_table()[0]\n students_list_without_first_student = self.students_page.\\\n click_edit_students_list_button().\\\n click_delete_first_student_button().\\\n click_exit_students_list_editor_button().\\\n students_table()\n self.assertEqual(self.main_page.get_current_url(),\n data['expected_url'])\n self.assertNotIn(first_student,\n students_list_without_first_student)","def test_delete_view_redirect_anauth_users_to_login_page(self):\n response = self.client.get('/posts/1/delete/')\n self.assertEqual(response.status_code, 302)\n self.assertIn(\"login\", response.url)","def test_delete_shelf_not_editable(self, *_):\n shelf = self.local_user.shelf_set.first()\n self.assertFalse(shelf.editable)\n request = self.factory.post(\"\")\n request.user = self.local_user\n\n with self.assertRaises(PermissionDenied):\n views.delete_shelf(request, shelf.id)\n\n self.assertTrue(models.Shelf.objects.filter(id=shelf.id).exists())","def test_author_delete_post(self):\n self.client.login(username=\"John\", password=\"newpass1234\")\n response = self.client.post('/posts/1/delete/')\n self.assertEqual(list(Post.objects.filter(id=1)), [])","def test_no_unpublish_button_appears(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertNotContains(response, self.url)","def test_doNotDeleteInput(self):\n input1 = self.getArbitraryLoreInput(0)\n self.howtoDir.child(\"one.xhtml\").setContent(input1)\n self.builder.build(\"whatever\", self.howtoDir, self.howtoDir,\n self.templateFile)\n self.assertTrue(self.howtoDir.child('one.html').exists())\n self.assertTrue(self.howtoDir.child('one.xhtml').exists())","def test_not_logged_cannot_delete_tab(self):\n\n utils.test_not_logged_cannot_access(self, self.url)","def test_update_custom_button(self):\n pass","def test_delete__invalid(self):\n testing_config.sign_in('admin@example.com', 123567890)\n\n with register.app.test_request_context(self.request_path):\n with self.assertRaises(werkzeug.exceptions.BadRequest):\n self.handler.do_delete(None)\n\n revised_feature = models.Feature.get_by_id(self.feature_id)\n self.assertFalse(revised_feature.deleted)","def test_delete__DeleteForm__1(search_data, UserFactory, browser):\n address_book = search_data\n # Create a user -- the person of a user cannot be deleted using this search\n # result handler.\n UserFactory(address_book, u'Ben', u'Utzer', u'ben@example.com',\n u'12345678', [], keywords=[u'church'])\n browser.login('mgr')\n browser.keyword_search('church')\n # Only the selected persons get deleted. Deselected persons will not:\n browser.getControl(name='persons:list').getControl(\n value=\"Person-2\").selected = False # This this the person named \"Koch\"\n browser.getControl('Apply on selected persons').displayValue = [\n 'Delete']\n browser.getControl(name='form.buttons.apply').click()\n # The number of persons for deletion is shown on the question screen:\n # (There are 3 persons with the church keyword in the fixture, one got\n # deselected but there is additionally a newly created user.\n assert ['3'] == browser.etree.xpath(\n '//span[@id=\"form-widgets-count\"]/text()')\n assert ('You are not able to delete a person who is referenced.'\n in browser.contents)\n assert browser.SEARCH_DELETE_URL == browser.url\n browser.getControl('Yes, delete').click()\n assert 'Selected persons deleted: 2' == browser.message\n assert browser.PERSONS_LIST_URL == browser.url\n # Only the two non-users got deleted:\n assert 'Koch' in browser.contents\n assert 'Utzer' in browser.contents\n assert 'Liebig' not in browser.contents\n assert 'Velleuer' not in browser.contents","def test_handle_delete_not_admin(self):\n team = Team(\"BRS\", \"brs\", \"web\")\n test_user = User(\"userid\")\n self.db.retrieve.return_value = test_user\n self.db.query.return_value = [team]\n self.assertTupleEqual(self.testcommand.handle(\"team delete brs\", user),\n (self.testcommand.permission_error, 200))\n self.db.delete.assert_not_called()\n self.gh.org_delete_team.assert_not_called()","def test_delete__forbidden(self):\n testing_config.sign_in('one@example.com', 123567890)\n\n with register.app.test_request_context(self.request_path):\n with self.assertRaises(werkzeug.exceptions.Forbidden):\n self.handler.do_delete(self.feature_id)\n\n revised_feature = models.Feature.get_by_id(self.feature_id)\n self.assertFalse(revised_feature.deleted)","def test_delete(self):\n\n self.metadata.create_or_update(data=self.create)\n\n # Find by name\n res_name = self.metadata.get_by_name(\n entity=Dashboard, fqn=self.entity.fullyQualifiedName\n )\n # Then fetch by ID\n res_id = self.metadata.get_by_id(\n entity=Dashboard, entity_id=str(res_name.id.__root__)\n )\n\n # Delete\n self.metadata.delete(\n entity=Dashboard, entity_id=str(res_id.id.__root__), recursive=True\n )\n\n # Then we should not find it\n res = self.metadata.list_entities(entity=Dashboard)\n assert not next(\n iter(\n ent\n for ent in res.entities\n if ent.fullyQualifiedName == self.entity.fullyQualifiedName\n ),\n None,\n )","def test_successfult_post_deletion(self):\n self.user.is_moderator = True\n self.user.save()\n response = self.client.delete(reverse('api:posts-detail', kwargs={'pk': self.post1.id}))\n self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)\n self.assertEqual(Post.objects.count(), 1)","def test_no_tagged_trait_remove_button(self):\n tagged_traits = TaggedTraitFactory.create_batch(3, trait=self.trait)\n response = self.client.get(self.get_url(self.trait.pk))\n context = response.context\n for (a, b) in context['tagged_traits_with_xs']:\n self.assertFalse(b)\n for tt in tagged_traits:\n self.assertNotContains(response, reverse('tags:tagged-traits:pk:delete', kwargs={'pk': tt.pk}))","def test_not_logged_cannot_delete(self):\n\n utils.test_not_logged_cannot_access(self, self.url)","def test_api_can_delete_post(self):\n post = Post.objects.get()\n response = self.client.delete(\n reverse('details', kwargs={'pk': post.id}),\n format='json',\n follow=True)\n\n self.assertEquals(response.status_code, status.HTTP_204_NO_CONTENT)","def test_api_can_delete_post(self):\n post = Post.objects.get()\n response = self.client.delete(\n reverse('details', kwargs={'pk': post.id}),\n format='json',\n follow=True)\n\n self.assertEquals(response.status_code, status.HTTP_204_NO_CONTENT)","def test_creator_in_group_can_delete_tab(self):\n\n self.client.login(username='tab', password='tab')\n expected_url = reverse('group_view', args=(self.group.pk,))\n\n utils.test_can_access(self, self.url,\n post_redirect_url=expected_url)\n self.assertEqual(len(Tab.objects.all()), 0)","def test_edit_boat(self):\n pass","def test_delete_idea_invalid_id(self):\n self.newidea()\n rv = self.app.post('/delete/idea/35',\n data=dict(confirm=True),\n follow_redirects=True)\n self.assertIn(b'Idea does not exist', rv.data)","def test_handle_edit_not_admin(self):\n test_user = User(\"userid\")\n team = Team(\"BRS\", \"brs\", \"brS\")\n self.db.retrieve.return_value = test_user\n self.db.query.return_value = [team]\n with self.app.app_context():\n self.assertTupleEqual(self.testcommand.handle(\"team \"\n \"edit brs\", user),\n (self.testcommand.permission_error, 200))\n self.db.store.assert_not_called()","def test_delete(self):\r\n course = CourseFactory.create(org='edX', course='999')\r\n with self.assertRaises(ValueError):\r\n tabs.primitive_delete(course, 0)\r\n with self.assertRaises(ValueError):\r\n tabs.primitive_delete(course, 1)\r\n with self.assertRaises(IndexError):\r\n tabs.primitive_delete(course, 6)\r\n tabs.primitive_delete(course, 2)\r\n self.assertFalse({u'type': u'textbooks'} in course.tabs)\r\n # Check that discussion has shifted up\r\n self.assertEquals(course.tabs[2], {'type': 'discussion', 'name': 'Discussion'})","def test_no_tagging_button_if_deprecated(self):\n study_version = self.trait.source_dataset.source_study_version\n study_version.i_is_deprecated = True\n study_version.save()\n response = self.client.get(self.get_url(self.trait.pk))\n context = response.context\n self.assertFalse(context['show_tag_button'])\n self.assertNotContains(response, reverse('trait_browser:source:traits:tagging', kwargs={'pk': self.trait.pk}))","def test_no_tagging_button_if_deprecated(self):\n study_version = self.trait.source_dataset.source_study_version\n study_version.i_is_deprecated = True\n study_version.save()\n response = self.client.get(self.get_url(self.trait.pk))\n context = response.context\n self.assertFalse(context['show_tag_button'])\n self.assertNotContains(response, reverse('trait_browser:source:traits:tagging', kwargs={'pk': self.trait.pk}))","def test_remove(self):\n pass","def test_only_edit_perm(self):\n self.assertStatusCode(self.url, 403)","def soft_assert_cannot_make_proposal(info_page, soft_assert):\n soft_assert.expect(not info_page.is_propose_changes_btn_exists,\n \"'Propose Changes' button should not be displayed.\")","def test_client_nationlity_delete(self):\n pass","def test_delete_device_template(self):\n pass"],"string":"[\n \"def test_delete_button_appears_edit(self):\\n response = self.client.get(reverse('wagtailnews:edit', kwargs={\\n 'pk': self.index.pk, 'newsitem_pk': self.newsitem.pk}))\\n self.assertContains(response, self.url)\",\n \"def test_delete_custom_button(self):\\n pass\",\n \"def test_no_edit_button_appears(self):\\n response = self.client.get(reverse('wagtailnews:index', kwargs={\\n 'pk': self.index.pk}))\\n self.assertNotContains(response, self.url)\",\n \"def test_that_not_logged_in_does_not_shows_edit_button(testapp):\\n html = testapp.get('/journal/1').html\\n assert not html.find('main').a\",\n \"def test_no_delete_button_appears_index(self):\\n response = self.client.get(reverse('wagtailnews:index', kwargs={\\n 'pk': self.index.pk}))\\n self.assertNotContains(response, self.url)\",\n \"def test_error_html_using_delete(self):\\n pass\",\n \"def test_commentary_view_delete(self):\\n \\n test_response = self.client.get('/papers/commentary/1/delete')\\n self.assertEqual(test_response.status_code, 200)\\n self.assertTrue('object' in test_response.context) \\n self.assertTemplateUsed(test_response, 'base.html')\\n self.assertTemplateUsed(test_response, 'confirm_delete.html')\",\n \"def test_delete_button_appears_index(self):\\n response = self.client.get(reverse('wagtailnews:index', kwargs={\\n 'pk': self.index.pk}))\\n self.assertContains(response, self.url)\",\n \"def test_delete_permission(self):\\r\\n self.assertFalse(self.creator_admin.has_delete_permission(self.request))\",\n \"def test_edit_button_appears(self):\\n response = self.client.get(reverse('wagtailnews:index', kwargs={\\n 'pk': self.index.pk}))\\n self.assertContains(response, self.url)\",\n \"def test_delete(self):\\n pass\",\n \"def test_post_delete_admin(self):\\n url = reverse('post-detail', kwargs={'pk': self.post.id})\\n self.client.force_authenticate(user=self.superuser)\\n response = self.client.delete(url)\\n self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)\",\n \"def test_no_add_button_appears(self):\\n response = self.client.get(reverse('wagtailnews:index', kwargs={\\n 'pk': self.index.pk}))\\n self.assertNotContains(response, self.url)\",\n \"def test_no_tagging_button(self):\\n response = self.client.get(self.get_url(self.trait.pk))\\n context = response.context\\n self.assertNotContains(response, reverse('trait_browser:source:traits:tagging', kwargs={'pk': self.trait.pk}))\\n self.assertFalse(context['show_tag_button'])\",\n \"def test_delete__DeleteForm__4(address_book, browser, role):\\n browser.login(role)\\n browser.assert_forbidden(browser.SEARCH_DELETE_URL)\",\n \"def test_delete_but_no_view_permission(client):\\n user = user_with_permissions(\\\"polls.delete_poll\\\")\\n\\n url = reverse(\\\"admin:index\\\")\\n client.force_login(user)\\n\\n response = client.get(url)\\n assert parse_sidemenu(response) == {\\\"Global\\\": [\\\"/en/admin/\\\"], \\\"Polls\\\": [None]}\",\n \"def test_no_delete_permission(client):\\n user = user_with_permissions(\\\"polls.view_poll\\\")\\n poll = Poll.objects.create(owner=user, text=\\\"question\\\")\\n\\n url = reverse(\\\"admin:polls_poll_change\\\", args=(poll.pk,))\\n delete_url = reverse(\\\"admin:polls_poll_delete\\\", args=(poll.pk,))\\n client.force_login(user)\\n\\n response = client.get(url)\\n assert delete_url not in response.content.decode()\",\n \"def test_delete(admin_client):\\n book = BookFactory()\\n url = reverse(\\\"admin:books_book_delete\\\", args=(book.pk,))\\n\\n response = admin_client.get(url)\\n templates_used = [t.name for t in response.templates]\\n\\n assert response.status_code == 200\\n render_counts = {x: templates_used.count(x) for x in set(templates_used)}\\n\\n # The number of times each template was rendered\\n assert render_counts == {\\n \\\"admin/delete_confirmation.html\\\": 1,\\n \\\"admin/base_site.html\\\": 1,\\n \\\"admin/base.html\\\": 1,\\n \\\"admin/includes/object_delete_summary.html\\\": 1,\\n \\\"jazzmin/includes/ui_builder_panel.html\\\": 1,\\n }\\n\\n # The templates that were used\\n assert set(templates_used) == {\\n \\\"admin/delete_confirmation.html\\\",\\n \\\"admin/base_site.html\\\",\\n \\\"admin/base.html\\\",\\n \\\"admin/includes/object_delete_summary.html\\\",\\n \\\"jazzmin/includes/ui_builder_panel.html\\\",\\n }\\n\\n response = admin_client.post(url, data={\\\"post\\\": \\\"yes\\\"}, follow=True)\\n\\n # We deleted our object, and are now back on the changelist\\n assert not Book.objects.all().exists()\\n assert response.resolver_match.url_name == \\\"books_book_changelist\\\"\",\n \"def test_delete_idea_not_confirm(self):\\n self.newidea()\\n rv = self.app.post('/delete/idea/1',\\n data=dict(),\\n follow_redirects=True)\\n self.assertIn(b'required', rv.data)\",\n \"def test_not_author_delete_post(self):\\n self.client.login(username=\\\"Bill\\\", password=\\\"newpass1234\\\")\\n response = self.client.post('/posts/1/delete/', {\\\"next\\\": \\\"\\\"})\\n self.assertNotEqual(list(Post.objects.filter(id=1)), [])\",\n \"def test_delete_item_using_delete(self):\\n pass\",\n \"def assert_can_delete(selenium, obj, can_delete):\\n info_page = _get_ui_service(selenium, obj=obj).open_info_page_of_obj(obj)\\n assert info_page.three_bbs.delete_option.exists == can_delete\\n if can_delete:\\n info_page.three_bbs.select_delete().confirm_delete()\\n selenium_utils.open_url(obj.url)\\n assert ui_utils.is_error_404()\",\n \"def test_before_delete_for_linked_resource(self):\\n resource = factories.Resource()\\n helpers.call_action(\\\"resource_delete\\\", id=resource[\\\"id\\\"])\\n with pytest.raises(p.toolkit.ObjectNotFound):\\n helpers.call_action(\\\"resource_show\\\", id=resource[\\\"id\\\"])\",\n \"def test_delete_user_field(self):\\n pass\",\n \"def test_delete_post():\\n\\n driver = webdriver.Chrome()\\n driver.get('https://cmput404group10.herokuapp.com')\\n\\n username = driver.find_element_by_id(\\\"username\\\")\\n username.send_keys(\\\"ronWeasley\\\")\\n\\n password = driver.find_element_by_name(\\\"password\\\")\\n password.send_keys(\\\"ualberta123\\\")\\n\\n driver.find_element_by_xpath('/html/body/div/div/div/div/div/div/div[2]/div/form/div[3]/button').click()\\n\\n driver.find_element_by_xpath('//*[@id=\\\"accordionSidebar\\\"]/li[2]/a').click()\\n assert driver.page_source.__contains__(\\\"Selenium Test Content\\\")\\n\\n driver.find_element_by_link_text('Delete').click()\\n\\n driver.find_element_by_xpath('//*[@id=\\\"content\\\"]/div/form/input[2]').click()\\n\\n assert not driver.page_source.__contains__(\\\"Selenium Test Content\\\")\",\n \"def test_publication_view_delete(self):\\n \\n test_response = self.client.get('/papers/14-3-3-proteins-a-number-of-functions-for-a-numbered-protein/delete/')\\n self.assertEqual(test_response.status_code, 200)\\n self.assertTrue('publication' in test_response.context) \\n self.assertTemplateUsed(test_response, 'confirm_delete.html')\\n self.assertEqual(test_response.context['publication'].pk, 1)\\n self.assertEqual(test_response.context['publication'].title, u'14-3-3 proteins: a number of functions for a numbered protein.')\\n\\n #verifies that a non-existent object returns a 404 error.\\n null_response = self.client.get('/papers/not-a-real-paper/delete/')\\n self.assertEqual(null_response.status_code, 404)\",\n \"def test_delete_activity_template(self):\\n pass\",\n \"def test_deleted(self):\\n event = Event.objects.all()[0]\\n\\n todo = TodoItem.objects.create(\\n event=event, completed=False, title=\\\"Test TODO3\\\",\\n due=datetime.date.today(), additional=\\\"\\\",\\n )\\n\\n assert todo in event.todoitem_set.all()\\n\\n self.client.get(reverse('todo_delete', args=[todo.pk]))\\n\\n assert event.todoitem_set.all().count() == 0\",\n \"def test_can_not_add_more(self):\\n set_up_one_user(self, 1, 0)\\n login = self.client.login(username='test', password='2HJ1vRV0Z&3iD')\\n response = self.client.get(reverse('index'))\\n self.assertEqual(response.status_code, 200)\\n self.assertContains(response, '<button id=\\\"modalButton\\\" type=\\\"button\\\" class=\\\"btn btn-info\\\" data-toggle=\\\"modal\\\" data-target=\\\"#myModal\\\" disabled=\\\"True\\\">Add new notification</button>')\",\n \"def test_none_admin_delete(self):\\n\\n with self.client:\\n token = self.customer()\\n id = 1\\n response = self.client.delete('api/v1/meals/{}'.format(id),\\n headers=({\\\"token\\\": token}))\\n data = json.loads(response.data.decode())\\n self.assertEqual(data.get('message'),\\n \\\"Customer is not authorized to access this page\\\")\\n self.assertEqual(response.status_code, 401)\",\n \"def test_delete_view(self):\\n self.client.post(reverse('misago:admin:users:bans:new'), data={\\n 'check_type': '0',\\n 'banned_value': 'TestBan',\\n })\\n\\n test_ban = Ban.objects.get(banned_value='testban')\\n\\n response = self.client.post(reverse('misago:admin:users:bans:delete', kwargs={\\n 'pk': test_ban.pk\\n }))\\n self.assertEqual(response.status_code, 302)\\n\\n response = self.client.get(reverse('misago:admin:users:bans:index'))\\n self.client.get(response['location'])\\n response = self.client.get(response['location'])\\n\\n self.assertEqual(response.status_code, 200)\\n self.assertNotContains(response, test_ban.banned_value)\",\n \"def test_empty_ui(self):\",\n \"def test_plusrecors_delete(self):\\n f = FlatPage.objects.create(title = 'f',\\n url = '/minus/upload/plus/done/',\\n content = 'flapi')\\n self.go200('minus_plus_upload')\\n self.formfile('minus_plus_upload', 'file', AUDIO_FILE)\\n self.submit200()\\n self.url('minus_plus_upload_done')\\n self.find('flapi')\\n self.go200('minus_plus_upload')\\n self.formfile('minus_plus_upload', 'file', AUDIO_FILE)\\n self.submit200()\\n self.assert_equal(MinusPlusRecord.objects.count(), 2)\\n self.go200('minus_upload')\\n self.formfile('minus_upload', 'file', AUDIO_FILE)\\n self.submit200()\\n self.find('Плюс')\\n m = MinusRecord.objects.all()[0]\\n p = MinusPlusRecord.objects.all()[0]\\n self.assert_equal(p.minus , m)\\n self.assert_equal(MinusPlusRecord.objects.count(), 1)\\n self.go200('plus_delete', [p.id])\\n self.fv('object_delete','__confirm__', 1)\\n self.submit200()\\n self.assert_equal(MinusPlusRecord.objects.count(), 0)\",\n \"def test_delete_boat(self):\\n pass\",\n \"def test_delete_run(self):\\n pass\",\n \"def test_remove_form(self):\\n set_up_one_user(self, 1, 0)\\n login = self.client.login(username='test', password='2HJ1vRV0Z&3iD')\\n s1 = Search.objects.get(terms_en=\\\"test0\\\")\\n self.assertEqual(s1.user, self.user)\\n response = self.client.post(reverse('index'), {'pk': s1.pk})\\n s2 = Search.objects.filter(terms_en=\\\"test1\\\")\\n self.assertEqual(response.status_code, 302)\\n self.assertEqual(len(s2), 0)\",\n \"def test_post_delete_unauthorized(self):\\n url = reverse('post-detail', kwargs={'pk': self.post.id})\\n response = self.client.delete(url)\\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)\",\n \"def test_security_on_delete(self):\\n # test the delete product url\\n product = Product.objects.all()[0]\\n url = '/product/xml/%s/' % product.item_number\\n response = self.client.delete(url)\\n self.failUnlessEqual(response.status_code, 401)\",\n \"def test_delete_view_without_next_redirects_to_group_page(self):\\n self.client.login(username=\\\"John\\\", password=\\\"newpass1234\\\")\\n response = self.client.post('/posts/1/delete/')\\n self.assertIn(\\\"group\\\", response.url)\",\n \"def test_delete1(self):\\n pass\",\n \"def test_no_delete_entry_on_rebuild_server_response(self):\\n self.validate_no_deletes_entry_returned()\",\n \"def test_not_author_delete_group(self):\\n self.client.login(username = \\\"Bill\\\", password = \\\"newpass1234\\\")\\n response = self.client.post('/groups/new_group/edit/', {\\\"name\\\":\\\"new_group4\\\", \\\"description\\\":\\\"some descr\\\"})\\n self.assertEqual(list(Group.objects.filter(slug=\\\"new_group4\\\")), [])\",\n \"def test_delete_case(self):\\n pass\",\n \"def test_delete_note(self):\\n\\n url = reverse(\\n 'crm-admin:note-delete',\\n kwargs={\\n 'pk': self.object.id\\n }\\n )\\n\\n # Test that the page load first\\n response = self.c.get(url)\\n self.assertEqual(response.status_code, 200)\\n\\n # Action detail with POST call\\n response = self.c.post(url)\\n self.assertEqual(response.status_code, 302)\\n\\n # Test that the record has been deleted\\n obj = Note.objects.filter(id=self.object.id)\\n self.assertEqual(obj.count(), 0)\",\n \"def test_init_disables_delete_magazin_field(self):\\n for can_delete in (True, False):\\n with self.subTest(can_delete=can_delete):\\n form = self.form_class(can_delete_magazin=can_delete)\\n self.assertEqual(form.fields['delete_magazin'].disabled, not can_delete)\",\n \"def check_deletable(self):\\n item = self.albums_artists.currentItem()\\n self.delete_button.setEnabled(False)\\n if item in self.new_artists:\\n self.delete_button.setEnabled(True)\",\n \"def test_delete7(self):\\n pass\",\n \"def test_unpublish_button_appears(self):\\n response = self.client.get(reverse('wagtailnews:index', kwargs={\\n 'pk': self.index.pk}))\\n self.assertContains(response, self.url)\",\n \"def test_delete_field(self):\\r\\n self.client.ajax_post(\\r\\n self.problem_update_url,\\r\\n data={'metadata': {'rerandomize': 'onreset'}}\\r\\n )\\r\\n problem = self.get_item_from_modulestore(self.problem_usage_key, True)\\r\\n self.assertEqual(problem.rerandomize, 'onreset')\\r\\n self.client.ajax_post(\\r\\n self.problem_update_url,\\r\\n data={'metadata': {'rerandomize': None}}\\r\\n )\\r\\n problem = self.get_item_from_modulestore(self.problem_usage_key, True)\\r\\n self.assertEqual(problem.rerandomize, 'never')\",\n \"def test_delete(self):\\n self.client.force_authenticate(user=self.admin)\\n\\n response = self.client.delete(\\n reverse(\\n 'retreat:waitqueuenotification-detail',\\n kwargs={'pk': 1},\\n ),\\n )\\n\\n self.assertEqual(\\n response.status_code,\\n status.HTTP_405_METHOD_NOT_ALLOWED\\n )\",\n \"def test_delete__not_found(self):\\n testing_config.sign_in('admin@example.com', 123567890)\\n\\n with register.app.test_request_context(self.request_path):\\n with self.assertRaises(werkzeug.exceptions.NotFound):\\n self.handler.do_delete(self.feature_id + 1)\\n\\n revised_feature = models.Feature.get_by_id(self.feature_id)\\n self.assertFalse(revised_feature.deleted)\",\n \"def test_public_status_page_delete_public_status_page(self):\\n pass\",\n \"def test_homepage_has_correct_buttons_showing_when_not_logged_in(testapp):\\n html = testapp.get('/').html\\n logout = html.find(class_=\\\"navbar-right\\\").text\\n create = html.find(href=\\\"http://localhost/journal/new-entry\\\")\\n assert logout == '\\\\n Login\\\\n'\\n assert not create\",\n \"def test_delete_link_no_resources(self):\\n g = groups.get_by_name(\\\"fifth group\\\")\\n \\n self.open_url('/group/list')\\n \\n deletelink = self.wd.find_element(By.ID, \\\"delete-link-{0}\\\".format(g.id))\\n deletelink.click()\\n \\n alert = self.wd.switch_to_alert()\\n self.assertEqual(\\\"Are you sure you want to remove group {0} (id={1})\\\".format(g.name, g.id), alert.text)\\n alert.accept()\\n \\n self.assert_notification(\\\"Group deleted: {0} (id={1})\\\".format(g.name, g.id))\\n self.assert_not_in_list_table(g.name)\",\n \"def test_not_creator_cannot_delete_tab(self):\\n\\n logged_user = utils.create_user_and_authenticate(self)\\n self.group.users.add(logged_user)\\n expected_url = reverse('group_view', args=(self.group.pk,))\\n\\n utils.test_cannot_access(self, self.url, expected_url)\\n self.assertEqual(len(Tab.objects.all()), 1)\",\n \"def test_client_delete_view(self):\\r\\n response = self.test_client.post(\\r\\n reverse('client_delete', kwargs={'pk': self.client1_id}))\\r\\n self.assertEqual(response.status_code, 302)\\r\\n self.assertRaises(ObjectDoesNotExist,\\r\\n Client.objects.get,\\r\\n id=self.client1_id)\",\n \"def test_delete_book(self):\\n response = self.client.delete(self.book.get_absolute_url()) \\n self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)\\n self.assertEqual(Book.objects.count(), 0)\",\n \"def test_remove_form_negative_pk(self):\\n form = RemoveForm({'pk': -1})\\n self.assertFalse(form.is_valid())\",\n \"def test_delete_record(self):\\n pass\",\n \"def test_post_delete_logged_in(self):\\n url = reverse('post-detail', kwargs={'pk': self.post.id})\\n self.client.force_authenticate(user=self.user)\\n response = self.client.delete(url)\\n self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)\",\n \"def delete(request):\\n return render(request, 'modify.html')\",\n \"def test_method_excludes(self):\\n self.assertContains(self.response, \\\"<td>get_full_name</td>\\\")\\n self.assertNotContains(self.response, \\\"<td>_get_full_name</td>\\\")\\n self.assertNotContains(self.response, \\\"<td>add_image</td>\\\")\\n self.assertNotContains(self.response, \\\"<td>delete_image</td>\\\")\\n self.assertNotContains(self.response, \\\"<td>set_status</td>\\\")\\n self.assertNotContains(self.response, \\\"<td>save_changes</td>\\\")\",\n \"def test_delete(self, client, users):\\n user = users[0]\\n url = reverse('users:delete', args=(user.pk,))\\n response = client.get(url)\\n assert response.status_code == 405\\n response = client.post(url)\\n assert response.status_code == 302\\n assert response.url == reverse('users:list')\\n assert not get_user_model().objects.filter(pk=user.pk).exists()\",\n \"def test_delete__DeleteForm__2(search_data, browser):\\n browser.login('mgr')\\n browser.keyword_search('church', 'Delete')\\n # Seleting the `cancel` button leads to the person list without deleting\\n # anybody:\\n browser.getControl('No, cancel').click()\\n assert 'Deletion canceled.' == browser.message\\n assert browser.PERSONS_LIST_URL == browser.url\\n assert 'Koch' in browser.contents\\n assert 'Liebig' in browser.contents\\n assert 'Velleuer' in browser.contents\",\n \"def test_deleting_post(self):\\n\\n delete_post(1)\\n post = Post.query.get(1)\\n self.assertEqual(post, None)\",\n \"def test_xml_template_delete(self):\\n XmlTemplate.delete_by_id(1)\\n self.assertEqual(XmlTemplate.objects.count(), 1)\\n self.assertFalse(XmlTemplate.objects.filter(pk=1).exists())\",\n \"def test_delete_ingredient(self):\\n ingredient = Ingredient.objects.create(user=self.user, name='Lettuce')\\n url = detail_url(ingredient.id)\\n res = self.client.delete(url)\\n\\n self.assertEqual(res.status_code, status.HTTP_204_NO_CONTENT)\\n ingredients = Ingredient.objects.filter(user=self.user)\\n self.assertFalse(ingredients.exists())\",\n \"def beforeDelete(self):\",\n \"def test_delete_admin_from_org(self):\\n pass\",\n \"def test_delete(self):\\n obj = self.provision_single_asset()\\n obj_id = obj.id\\n self.delete('widget', 200, params={'id': obj_id})\\n obj = self.session.query(self.widget_model).filter_by(id=obj_id).first()\\n assert obj is None\",\n \"def test07_remove_first_student_with_admin(self):\\n print(self.students_page.students_table())\\n first_student = self.students_page.students_table()[0]\\n students_list_without_first_student = self.students_page.\\\\\\n click_edit_students_list_button().\\\\\\n click_delete_first_student_button().\\\\\\n click_exit_students_list_editor_button().\\\\\\n students_table()\\n self.assertEqual(self.main_page.get_current_url(),\\n data['expected_url'])\\n self.assertNotIn(first_student,\\n students_list_without_first_student)\",\n \"def test_delete_view_redirect_anauth_users_to_login_page(self):\\n response = self.client.get('/posts/1/delete/')\\n self.assertEqual(response.status_code, 302)\\n self.assertIn(\\\"login\\\", response.url)\",\n \"def test_delete_shelf_not_editable(self, *_):\\n shelf = self.local_user.shelf_set.first()\\n self.assertFalse(shelf.editable)\\n request = self.factory.post(\\\"\\\")\\n request.user = self.local_user\\n\\n with self.assertRaises(PermissionDenied):\\n views.delete_shelf(request, shelf.id)\\n\\n self.assertTrue(models.Shelf.objects.filter(id=shelf.id).exists())\",\n \"def test_author_delete_post(self):\\n self.client.login(username=\\\"John\\\", password=\\\"newpass1234\\\")\\n response = self.client.post('/posts/1/delete/')\\n self.assertEqual(list(Post.objects.filter(id=1)), [])\",\n \"def test_no_unpublish_button_appears(self):\\n response = self.client.get(reverse('wagtailnews:index', kwargs={\\n 'pk': self.index.pk}))\\n self.assertNotContains(response, self.url)\",\n \"def test_doNotDeleteInput(self):\\n input1 = self.getArbitraryLoreInput(0)\\n self.howtoDir.child(\\\"one.xhtml\\\").setContent(input1)\\n self.builder.build(\\\"whatever\\\", self.howtoDir, self.howtoDir,\\n self.templateFile)\\n self.assertTrue(self.howtoDir.child('one.html').exists())\\n self.assertTrue(self.howtoDir.child('one.xhtml').exists())\",\n \"def test_not_logged_cannot_delete_tab(self):\\n\\n utils.test_not_logged_cannot_access(self, self.url)\",\n \"def test_update_custom_button(self):\\n pass\",\n \"def test_delete__invalid(self):\\n testing_config.sign_in('admin@example.com', 123567890)\\n\\n with register.app.test_request_context(self.request_path):\\n with self.assertRaises(werkzeug.exceptions.BadRequest):\\n self.handler.do_delete(None)\\n\\n revised_feature = models.Feature.get_by_id(self.feature_id)\\n self.assertFalse(revised_feature.deleted)\",\n \"def test_delete__DeleteForm__1(search_data, UserFactory, browser):\\n address_book = search_data\\n # Create a user -- the person of a user cannot be deleted using this search\\n # result handler.\\n UserFactory(address_book, u'Ben', u'Utzer', u'ben@example.com',\\n u'12345678', [], keywords=[u'church'])\\n browser.login('mgr')\\n browser.keyword_search('church')\\n # Only the selected persons get deleted. Deselected persons will not:\\n browser.getControl(name='persons:list').getControl(\\n value=\\\"Person-2\\\").selected = False # This this the person named \\\"Koch\\\"\\n browser.getControl('Apply on selected persons').displayValue = [\\n 'Delete']\\n browser.getControl(name='form.buttons.apply').click()\\n # The number of persons for deletion is shown on the question screen:\\n # (There are 3 persons with the church keyword in the fixture, one got\\n # deselected but there is additionally a newly created user.\\n assert ['3'] == browser.etree.xpath(\\n '//span[@id=\\\"form-widgets-count\\\"]/text()')\\n assert ('You are not able to delete a person who is referenced.'\\n in browser.contents)\\n assert browser.SEARCH_DELETE_URL == browser.url\\n browser.getControl('Yes, delete').click()\\n assert 'Selected persons deleted: 2' == browser.message\\n assert browser.PERSONS_LIST_URL == browser.url\\n # Only the two non-users got deleted:\\n assert 'Koch' in browser.contents\\n assert 'Utzer' in browser.contents\\n assert 'Liebig' not in browser.contents\\n assert 'Velleuer' not in browser.contents\",\n \"def test_handle_delete_not_admin(self):\\n team = Team(\\\"BRS\\\", \\\"brs\\\", \\\"web\\\")\\n test_user = User(\\\"userid\\\")\\n self.db.retrieve.return_value = test_user\\n self.db.query.return_value = [team]\\n self.assertTupleEqual(self.testcommand.handle(\\\"team delete brs\\\", user),\\n (self.testcommand.permission_error, 200))\\n self.db.delete.assert_not_called()\\n self.gh.org_delete_team.assert_not_called()\",\n \"def test_delete__forbidden(self):\\n testing_config.sign_in('one@example.com', 123567890)\\n\\n with register.app.test_request_context(self.request_path):\\n with self.assertRaises(werkzeug.exceptions.Forbidden):\\n self.handler.do_delete(self.feature_id)\\n\\n revised_feature = models.Feature.get_by_id(self.feature_id)\\n self.assertFalse(revised_feature.deleted)\",\n \"def test_delete(self):\\n\\n self.metadata.create_or_update(data=self.create)\\n\\n # Find by name\\n res_name = self.metadata.get_by_name(\\n entity=Dashboard, fqn=self.entity.fullyQualifiedName\\n )\\n # Then fetch by ID\\n res_id = self.metadata.get_by_id(\\n entity=Dashboard, entity_id=str(res_name.id.__root__)\\n )\\n\\n # Delete\\n self.metadata.delete(\\n entity=Dashboard, entity_id=str(res_id.id.__root__), recursive=True\\n )\\n\\n # Then we should not find it\\n res = self.metadata.list_entities(entity=Dashboard)\\n assert not next(\\n iter(\\n ent\\n for ent in res.entities\\n if ent.fullyQualifiedName == self.entity.fullyQualifiedName\\n ),\\n None,\\n )\",\n \"def test_successfult_post_deletion(self):\\n self.user.is_moderator = True\\n self.user.save()\\n response = self.client.delete(reverse('api:posts-detail', kwargs={'pk': self.post1.id}))\\n self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)\\n self.assertEqual(Post.objects.count(), 1)\",\n \"def test_no_tagged_trait_remove_button(self):\\n tagged_traits = TaggedTraitFactory.create_batch(3, trait=self.trait)\\n response = self.client.get(self.get_url(self.trait.pk))\\n context = response.context\\n for (a, b) in context['tagged_traits_with_xs']:\\n self.assertFalse(b)\\n for tt in tagged_traits:\\n self.assertNotContains(response, reverse('tags:tagged-traits:pk:delete', kwargs={'pk': tt.pk}))\",\n \"def test_not_logged_cannot_delete(self):\\n\\n utils.test_not_logged_cannot_access(self, self.url)\",\n \"def test_api_can_delete_post(self):\\n post = Post.objects.get()\\n response = self.client.delete(\\n reverse('details', kwargs={'pk': post.id}),\\n format='json',\\n follow=True)\\n\\n self.assertEquals(response.status_code, status.HTTP_204_NO_CONTENT)\",\n \"def test_api_can_delete_post(self):\\n post = Post.objects.get()\\n response = self.client.delete(\\n reverse('details', kwargs={'pk': post.id}),\\n format='json',\\n follow=True)\\n\\n self.assertEquals(response.status_code, status.HTTP_204_NO_CONTENT)\",\n \"def test_creator_in_group_can_delete_tab(self):\\n\\n self.client.login(username='tab', password='tab')\\n expected_url = reverse('group_view', args=(self.group.pk,))\\n\\n utils.test_can_access(self, self.url,\\n post_redirect_url=expected_url)\\n self.assertEqual(len(Tab.objects.all()), 0)\",\n \"def test_edit_boat(self):\\n pass\",\n \"def test_delete_idea_invalid_id(self):\\n self.newidea()\\n rv = self.app.post('/delete/idea/35',\\n data=dict(confirm=True),\\n follow_redirects=True)\\n self.assertIn(b'Idea does not exist', rv.data)\",\n \"def test_handle_edit_not_admin(self):\\n test_user = User(\\\"userid\\\")\\n team = Team(\\\"BRS\\\", \\\"brs\\\", \\\"brS\\\")\\n self.db.retrieve.return_value = test_user\\n self.db.query.return_value = [team]\\n with self.app.app_context():\\n self.assertTupleEqual(self.testcommand.handle(\\\"team \\\"\\n \\\"edit brs\\\", user),\\n (self.testcommand.permission_error, 200))\\n self.db.store.assert_not_called()\",\n \"def test_delete(self):\\r\\n course = CourseFactory.create(org='edX', course='999')\\r\\n with self.assertRaises(ValueError):\\r\\n tabs.primitive_delete(course, 0)\\r\\n with self.assertRaises(ValueError):\\r\\n tabs.primitive_delete(course, 1)\\r\\n with self.assertRaises(IndexError):\\r\\n tabs.primitive_delete(course, 6)\\r\\n tabs.primitive_delete(course, 2)\\r\\n self.assertFalse({u'type': u'textbooks'} in course.tabs)\\r\\n # Check that discussion has shifted up\\r\\n self.assertEquals(course.tabs[2], {'type': 'discussion', 'name': 'Discussion'})\",\n \"def test_no_tagging_button_if_deprecated(self):\\n study_version = self.trait.source_dataset.source_study_version\\n study_version.i_is_deprecated = True\\n study_version.save()\\n response = self.client.get(self.get_url(self.trait.pk))\\n context = response.context\\n self.assertFalse(context['show_tag_button'])\\n self.assertNotContains(response, reverse('trait_browser:source:traits:tagging', kwargs={'pk': self.trait.pk}))\",\n \"def test_no_tagging_button_if_deprecated(self):\\n study_version = self.trait.source_dataset.source_study_version\\n study_version.i_is_deprecated = True\\n study_version.save()\\n response = self.client.get(self.get_url(self.trait.pk))\\n context = response.context\\n self.assertFalse(context['show_tag_button'])\\n self.assertNotContains(response, reverse('trait_browser:source:traits:tagging', kwargs={'pk': self.trait.pk}))\",\n \"def test_remove(self):\\n pass\",\n \"def test_only_edit_perm(self):\\n self.assertStatusCode(self.url, 403)\",\n \"def soft_assert_cannot_make_proposal(info_page, soft_assert):\\n soft_assert.expect(not info_page.is_propose_changes_btn_exists,\\n \\\"'Propose Changes' button should not be displayed.\\\")\",\n \"def test_client_nationlity_delete(self):\\n pass\",\n \"def test_delete_device_template(self):\\n pass\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.7922662","0.78152597","0.74040025","0.7340192","0.7057694","0.6956841","0.6919261","0.68916804","0.6828039","0.6781857","0.67025316","0.6697165","0.66651994","0.658142","0.6545721","0.6544052","0.6535346","0.6535192","0.6469189","0.64268947","0.6397583","0.6363479","0.63629556","0.6357711","0.6355165","0.6314837","0.62971467","0.62781197","0.62666607","0.62615985","0.6258609","0.62573695","0.62207305","0.62150896","0.6198347","0.6196014","0.6195925","0.61906654","0.6186983","0.6185852","0.61816484","0.6177128","0.6176471","0.61728024","0.61585116","0.61398757","0.6123867","0.61181945","0.6117304","0.6117096","0.6114675","0.6104058","0.61027336","0.60881263","0.60850805","0.6078183","0.6075743","0.6071396","0.60662687","0.6057827","0.6057507","0.604858","0.60388654","0.60204047","0.6018677","0.6014412","0.60068023","0.6004076","0.6002879","0.59998757","0.5998264","0.5984531","0.5982171","0.5974121","0.5974112","0.59718907","0.59668636","0.59662694","0.5965965","0.59655744","0.59630036","0.5951236","0.5945962","0.5940243","0.592478","0.5916783","0.59133476","0.59133476","0.5905329","0.58960223","0.58952034","0.5894932","0.5887348","0.5881738","0.5881738","0.58739805","0.58723515","0.5869774","0.5865796","0.58633745"],"string":"[\n \"0.7922662\",\n \"0.78152597\",\n \"0.74040025\",\n \"0.7340192\",\n \"0.7057694\",\n \"0.6956841\",\n \"0.6919261\",\n \"0.68916804\",\n \"0.6828039\",\n \"0.6781857\",\n \"0.67025316\",\n \"0.6697165\",\n \"0.66651994\",\n \"0.658142\",\n \"0.6545721\",\n \"0.6544052\",\n \"0.6535346\",\n \"0.6535192\",\n \"0.6469189\",\n \"0.64268947\",\n \"0.6397583\",\n \"0.6363479\",\n \"0.63629556\",\n \"0.6357711\",\n \"0.6355165\",\n \"0.6314837\",\n \"0.62971467\",\n \"0.62781197\",\n \"0.62666607\",\n \"0.62615985\",\n \"0.6258609\",\n \"0.62573695\",\n \"0.62207305\",\n \"0.62150896\",\n \"0.6198347\",\n \"0.6196014\",\n \"0.6195925\",\n \"0.61906654\",\n \"0.6186983\",\n \"0.6185852\",\n \"0.61816484\",\n \"0.6177128\",\n \"0.6176471\",\n \"0.61728024\",\n \"0.61585116\",\n \"0.61398757\",\n \"0.6123867\",\n \"0.61181945\",\n \"0.6117304\",\n \"0.6117096\",\n \"0.6114675\",\n \"0.6104058\",\n \"0.61027336\",\n \"0.60881263\",\n \"0.60850805\",\n \"0.6078183\",\n \"0.6075743\",\n \"0.6071396\",\n \"0.60662687\",\n \"0.6057827\",\n \"0.6057507\",\n \"0.604858\",\n \"0.60388654\",\n \"0.60204047\",\n \"0.6018677\",\n \"0.6014412\",\n \"0.60068023\",\n \"0.6004076\",\n \"0.6002879\",\n \"0.59998757\",\n \"0.5998264\",\n \"0.5984531\",\n \"0.5982171\",\n \"0.5974121\",\n \"0.5974112\",\n \"0.59718907\",\n \"0.59668636\",\n \"0.59662694\",\n \"0.5965965\",\n \"0.59655744\",\n \"0.59630036\",\n \"0.5951236\",\n \"0.5945962\",\n \"0.5940243\",\n \"0.592478\",\n \"0.5916783\",\n \"0.59133476\",\n \"0.59133476\",\n \"0.5905329\",\n \"0.58960223\",\n \"0.58952034\",\n \"0.5894932\",\n \"0.5887348\",\n \"0.5881738\",\n \"0.5881738\",\n \"0.58739805\",\n \"0.58723515\",\n \"0.5869774\",\n \"0.5865796\",\n \"0.58633745\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.8121819"},"document_rank":{"kind":"string","value":"0"}}},{"rowIdx":86785,"cells":{"query":{"kind":"string","value":"resize image to 227x227, since alexnet only take 227x227 input normalize and standardize input so it will learn faster"},"document":{"kind":"string","value":"def process_images(image, label):\n # Normalize images to have a mean of 0 and standard deviation of 1\n # per_image_standardization is preferred, which normalize the entire image to mean zero and std 1.\n # It also make learning fast.\n image = tf.image.per_image_standardization(image)\n # Resize images from 32x32 to 277x277\n image = tf.image.resize(image, (227,227))\n return image, label"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def resize_128(img): \n return cv2.resize(img,(128,128))","def image_resize(img, min_size=600, max_size=1000):\n C, H, W = img.shape\n scale1 = min_size / min(H, W)\n scale2 = max_size / max(H, W)\n scale = min(scale1, scale2)\n img = img / 255\n img = transform.resize(img, (C, H * scale, W * scale),\n mode='reflect', anti_aliasing=False)\n # img = pytorch_normalize(img)\n # img = caffe_normalize(img)\n return img","def scale_image(image=np.zeros((100,100)), \n new_width=100,\n ascii_block_size=(2,3)):\n \n original_width, original_height = image.shape\n aspect_ratio = original_height / float(original_width)\n w,h = ascii_block_size\n new_height = int(h/w * aspect_ratio * new_width)\n\n return skimage.transform.resize(image, (new_width, new_height))","def process_image(image):\n image = resize(image)\n return image","def resize_function(input):\n\n from keras.backend import tf as ktf\n return ktf.image.resize_images(input, (64, 64))","def _resize(img, max_dim=128):\n if max(img.shape[:3]) <= max_dim:\n return img\n else:\n new_size = [max_dim / s if s >= max_dim else 1.0 for s in img.shape[:3]]\n new_size.append(1.0) # for channel\n return scipy.ndimage.zoom(img, new_size, order=2)","def _do_adaptive_shrinking(self, im):\n im_sz = list(im.shape)\n dim = len(im_sz)\n dim_to_pad = [dim_sz%self.adaptive_padding!=0 and dim_sz>3 for dim_sz in im_sz]\n dim_rem = [dim_sz//self.adaptive_padding for dim_sz in im_sz]\n new_dim_sz = [(dim_rem[i])*self.adaptive_padding if dim_to_pad[i] else im_sz[i] for i in range(dim)]\n before_id = [(-new_dim_sz[i] +im_sz[i]+1)//2 for i in range(dim)]\n after_id = [new_dim_sz[i] + before_id[i] for i in range(dim)]\n new_img = im[before_id[0]:after_id[0],before_id[1]:after_id[1],before_id[2]:after_id[2]].copy()\n return new_img","def resizeImage(IMG,IMAGE_SIZE):\n\n RESCALED_IMAGE = skimage.transform.resize(IMG,[IMG.shape[0],IMAGE_SIZE,IMAGE_SIZE])\n return RESCALED_IMAGE","def preprocess(image, min_size=600, max_size=1000):\n normalize = tf.Normalize(mean=[0.485, 0.456, 0.406],\n \tstd=[0.229, 0.224, 0.225])\n\n\n C, H, W = image.shape\n scale1 = min_size / min(H, W)\n scale2 = max_size / max(H, W)\n scale = min(scale1, scale2)\n image = image / 255.\n image = sktsf.resize(image, (C, H * scale, W * scale), mode='reflect',anti_aliasing=False)\t#change this to torch\n # both the longer and shorter should be less than\n # max_size and min_size\n\n image = normalize(t.from_numpy(image))\n return image.numpy()","def __resize_to_32x(input_data):\n rate = 1\n while min(input_data['img'].shape[:2])>736:\n test_size = 736\n if input_data['img'].shape[0] > input_data['img'].shape[1]:\n if True: # input_data['img'].shape[1] < 512:\n rate = test_size / input_data['img'].shape[1]\n seq = iaa.Sequential([\n iaa.Scale({'height': \"keep-aspect-ratio\", 'width': test_size}, 'cubic')\n ])\n input_data['img'] = seq.augment_image(input_data['img'])\n else:\n if True: # input_data['img'].shape[0] < 512:\n rate = test_size / input_data['img'].shape[0]\n seq = iaa.Sequential([\n iaa.Scale({'height': test_size, 'width': \"keep-aspect-ratio\"}, 'cubic')\n ])\n input_data['img'] = seq.augment_image(input_data['img'])\n\n if DataAugmentor._is_synthtext(input_data):\n input_data['contour'] = [[np.cast['int32'](contour * rate) for contour in contours] for contours in\n input_data['contour']]\n else:\n input_data['contour'] = [np.cast['int32'](contour * rate) for contour in input_data['contour']]\n input_data['center_point'] = [(np.cast['int32'](point[0] * rate),\n np.cast['int32'](point[1] * rate)) for point in input_data['center_point']]\n p_row = 0\n while True:\n if (input_data['img'].shape[0] + p_row) % 32 == 0:\n break\n p_row += 1\n p_col = 0\n while True:\n if (input_data['img'].shape[1] + p_col) % 32 == 0:\n break\n p_col += 1\n\n input_data['img'] = np.pad(input_data['img'], ((0, p_row), (0, p_col), (0, 0)), mode='constant')\n\n return input_data","def rescale_image(image, scale=0.50):\r\n \r\n wi = int(image.shape[1]*scale)\r\n hei = int(image.shape[0]*scale)\r\n dimension = (wi, hei)\r\n return cv.resize(image, dimension, interpolation = cv.INTER_AREA)","def resize(image):\r\n return cv2.resize(image, (200, 66), interpolation=cv2.INTER_AREA)","def resize_image(image, size):\n return skimage.transform.resize(image, size, mode='reflect', preserve_range=True).astype(image.dtype)","def preprocessImage(img):\n shape = img.shape\n img = img[math.floor(shape[0]/4) : shape[0] - 25, 0:shape[1]]\n img = cv2.resize(img, (img_columns, img_rows), interpolation = cv2.INTER_AREA)\n return img","def imresize(img, size):\n if hasattr(size, \"__len__\"):\n num_rows, num_cols = size\n assert (num_rows > 0) or (num_cols > 0)\n if num_rows < 0:\n num_rows = num_cols * img.shape[0] / img.shape[1]\n if num_cols < 0:\n num_cols = num_rows * img.shape[1] / img.shape[0]\n else:\n num_rows = int(round(img.shape[0] * size))\n num_cols = int(round(img.shape[1] * size))\n return skimage.transform.resize(img, (num_rows, num_cols))","def scale_down(image:np.array)->np.array:\n src = image\n scale_percent = 25\n width = int(src.shape[1] * scale_percent / 100)\n height = int(src.shape[0] * scale_percent / 100)\n dsize = (width, height)\n output = cv2.resize(src, dsize)\n return output","def transform_images(x_image: tf.Tensor, size: int) -> tf.Tensor:\n x_image = tf.image.resize(x_image, (size, size))\n x_image = x_image / 255\n return x_image","def retinanet_resize_image(img, min_side=800, max_side=1333):\n # compute scale to resize the image\n scale = retinanet_compute_resize_scale(img.shape, min_side=min_side, max_side=max_side)\n # scale = round(scale, 4)\n # print(\"scale: \", scale)\n\n # resize the image with the computed scale\n img = cv2.resize(img, None, fx=scale, fy=scale)\n\n return img, scale","def resize(img, size):\n img = cv2.resize(img, tuple(size[::-1]))\n return img","def preprocess_image(image, model_image_size):\n #resized_image = cv2.resize(image, tuple(reversed(model_image_size)), cv2.INTER_AREA)\n resized_image = letterbox_resize(image, tuple(reversed(model_image_size)))\n image_data = np.asarray(resized_image).astype('float32')\n image_data = normalize_image(image_data)\n image_data = np.expand_dims(image_data, 0) # Add batch dimension.\n return image_data","def resize(image, size):\n return np.array(Image.fromarray(image).resize(size))","def resize_image(image: Image) -> Image:\n expected_x: int = 1024\n expected_y: int = 768\n x, y = image.size\n if x > expected_x or y > expected_y:\n scale = min(expected_x / x, expected_y / y)\n return image.resize((int(x * scale), int(y * scale)))\n else:\n return image.resize((int(0.9*x), int(0.9*y)))","def transform_image_mnist(gray, target_size = (28, 28)):\n # gray\n gray = cv2.cvtColor(gray, cv2.COLOR_RGB2GRAY)\n _save_img_file(\"outputs/test_1_gray.png\", gray)\n\n # invert\n gray = 255-gray\n _save_img_file(\"outputs/test_1_gray_invert.png\", gray)\n \n # rescale it\n gray = cv2.resize(gray, target_size)\n _save_img_file('outputs/test_2_rescale.png',gray)\n\n # better black and white version\n gray = threshold(gray, \"mean\")\n _save_img_file('outputs/test_3_thresh.png',gray)\n\n while np.sum(gray[0]) == 0:\n gray = gray[1:]\n\n while np.sum(gray[:,0]) == 0:\n gray = np.delete(gray,0,1)\n\n while np.sum(gray[-1]) == 0:\n gray = gray[:-1]\n\n while np.sum(gray[:,-1]) == 0:\n gray = np.delete(gray,-1,1)\n\n _save_img_file('outputs/test_4.png',gray)\n #print(gray.shape)\n rows,cols = gray.shape\n\n if rows > cols:\n factor = 20.0/rows\n rows = 20\n cols = int(round(cols * factor))\n # first cols than rows\n gray = cv2.resize(gray, (cols, rows))\n else:\n factor = 20.0/cols\n cols = 20\n rows = int(round(rows * factor))\n # first cols than rows\n gray = cv2.resize(gray, (cols, rows))\n\n colsPadding = (int(math.ceil((28-cols)/2.0)),int(math.floor((28-cols)/2.0)))\n rowsPadding = (int(math.ceil((28-rows)/2.0)),int(math.floor((28-rows)/2.0)))\n gray = np.lib.pad(gray,(rowsPadding,colsPadding),'constant')\n _save_img_file('outputs/test_5.png',gray)\n\n shiftx, shifty = getBestShift(gray)\n shifted = shift(gray, shiftx, shifty)\n gray = shifted\n \n _save_img_file('outputs/test_final.png',gray)\n\n return gray","def resize(image):\n return cv2.resize(image, (320, 160), interpolation=cv2.INTER_AREA)","def run(self, image):\n # width, height = image.size\n # resize_ratio = 1.0 * self.INPUT_SIZE / max(width, height)\n # target_size = (int(resize_ratio * width), int(resize_ratio * height))\n target_size = (self.INPUT_SIZE, self.INPUT_SIZE)\n resized_image = image.convert('RGB').resize(target_size, Image.ANTIALIAS)\n net_image = resized_image\n if params.HZ_preprocess_activate:\n net_image = params.image_preprocess_func(resized_image)\n net_image = np.expand_dims(net_image, axis=-1)\n batch_seg_map = self.sess.run(\n self.OUTPUT_TENSOR_NAME,\n feed_dict={self.INPUT_TENSOR_NAME: [np.asarray(net_image)]})\n seg_map = batch_seg_map[0]\n return resized_image, seg_map","def preprocess_image(image: Image.Image, max_size: int = 1200) -> Image.Image:\n width_0, height_0 = image.size\n\n if max((width_0, height_0)) <= max_size:\n return image\n\n if width_0 > height_0:\n aspect_ratio = max_size / float(width_0)\n new_height = int(float(height_0) * float(aspect_ratio))\n image = image.resize((max_size, new_height), Image.ANTIALIAS)\n return image\n else:\n aspect_ratio = max_size / float(height_0)\n new_width = int(float(width_0) * float(aspect_ratio))\n image = image.resize((max_size, new_width), Image.ANTIALIAS)\n return image","def resize_image():\r\n print(\"--- resizing the image ---\")\r\n if args.image:\r\n img = cv2.imread(args.image)\r\n img = cv2.resize(img, (32, 32))\r\n img = np.array(img, dtype=np.uint8)\r\n img = img.reshape(32, 32, 3) / 255\r\n img = np.expand_dims(img, axis=0)\r\n print(\"--- done resizing the image ---\")\r\n return img\r\n else:\r\n print(\"Please enter a path of an image to check for it's label\")","def resize(img):\n size = (500, 500)\n img.thumbnail(size)\n return img","def transform_images(img, size):\n return tf.image.resize(img, (size, size)) / 255","def preprocess(img, min_size, max_size):\n if(min_size > max_size):\n raise Exception('min_size should not exceed max_size')\n \n width, height = img.size\n minDim = min(width,height)\n maxDim = max(width,height)\n scale_shorter_side = min_size/minDim\n scale_longer_side = maxDim * scale_shorter_side\n if(scale_longer_side > max_size):\n scale = max_size/maxDim\n else:\n scale = scale_shorter_side\n transform = transforms.Compose([\n transforms.Resize((round(img.height*scale),round(img.width * scale))),\n transforms.ToTensor(),\n transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])\n ])\n img = transform(img)\n return scale,img","def transform_image(self):\n im = cv2.imread(\"result.png\", 0)\n im2 = cv2.resize(im, (28, 28))\n im = im2.reshape(28, 28, -1)\n im = im.reshape(1, 1, 28, 28)\n im = cv2.bitwise_not(im)\n im = im.reshape(28,28)\n \n with out:\n clear_output()\n \n # resize\n img = np.array(im)\n img = img.reshape(28*28,)\n \n #img = img/255.0\n \n return img","def resize_image(img):\n ratio = float(img.size[1]) / float(img.size[0])\n\n if ratio > 1.73:\n h, w = 320, 160 # 512, 256\n elif ratio < 1.0 / 1.73:\n h, w = 160, 320 # 256, 512\n elif ratio > 1.41:\n h, w = 384, 256\n elif ratio < 1. / 1.41:\n h, w = 256, 384\n elif ratio > 1.15:\n h, w = 320, 240 # 512, 384\n elif ratio < 1. / 1.15:\n h, w = 240, 320 # 384, 512\n else:\n h, w = 320, 320 # 384, 384\n\n h = int(h)\n w = int(w)\n img = TF.resize(img, size=[h, w], interpolation=Image.BILINEAR)\n return img","def preprocessing(image, w, h):\n image = cv2.resize(image, (w, h))\n image = np.transpose(image, (2, 0, 1))\n image = image.reshape(1, 3, h, w)\n \n return image","def rescale(self, img):\n\n if self.scale != 1:\n return imutils.resize(img, width=int(img.shape[1] * self.scale))\n else:\n return img","def resize_img_norescale(img, size):\n w,h = size\n shape = (h,w)\n out = np.zeros(shape, dtype=img.dtype)\n i = min(img.shape[0], out.shape[0])\n j = min(img.shape[1], out.shape[1])\n out[0:i,0:j] = img[0:i, 0:j]\n return out","def rescale_image_0255(image):\n # scale image to from [0.0, 1.0] to [0, 255]\n image *= 255\n return image.astype(np.uint8)","def resize(image):\n\treturn cv2.resize(image, \n\t\t\t\t\t (FACE_WIDTH, FACE_HEIGHT), \n\t\t\t\t\t interpolation=cv2.INTER_LANCZOS4)","def __resize_to_512(input_data):\n test_size = 720\n\n if DataAugmentor._is_synthtext(input_data):\n input_data['contour'] = [[np.cast['int32'](np.stack([contour[:, :, 0] * 512 / input_data['img'].shape[0],\n contour[:, :, 1] * 512 / input_data['img'].shape[1]],\n axis=-1))\n for contour in contours] for contours in input_data['contour']]\n else:\n input_data['contour'] = [np.cast['int32'](np.stack([contour[:, :, 0] * 512 / input_data['img'].shape[0],\n contour[:, :, 1] * 512 / input_data['img'].shape[1]],\n axis=-1)) for contour in input_data['contour']]\n input_data['center_point'] = [(np.cast['int32'](point[0] * 512 / input_data['img'].shape[0]),\n np.cast['int32'](point[1] * 512 / input_data['img'].shape[1]))\n for point in input_data['center_point']]\n\n seq = iaa.Sequential([\n iaa.Scale({'height': 512, 'width': 512}, 'cubic')\n ])\n input_data['img'] = seq.augment_image(input_data['img'])\n\n return input_data","def run(self, image):\r\n width, height = image.size\r\n resize_ratio = 1.0 * self.INPUT_SIZE / max(width, height)\r\n target_size = (int(resize_ratio * width), int(resize_ratio * height))\r\n resized_image = image.convert('RGB').resize(target_size, Image.ANTIALIAS)\r\n batch_seg_map = self.sess.run(\r\n self.OUTPUT_TENSOR_NAME,\r\n feed_dict={self.INPUT_TENSOR_NAME: [np.asarray(resized_image)]})\r\n seg_map = batch_seg_map[0]\r\n return resized_image, seg_map","def img_preprocess(self, img, output_size=64):\n w, h = img.size\n if w > h:\n box_param = (int(w * 0.5 - h * 0.5), 0, int(w * 0.5 + h * 0.5), h)\n cropped = img.crop(box_param)\n else: # w < h\n box_param = (0, int(h * 0.5 - w * 0.5), w, int(h * 0.5 + w * 0.5))\n cropped = img.crop(box_param)\n\n resized = cropped.resize((output_size, output_size))\n resized = np.asarray(resized)\n\n return resized","def cs4243_resize(image, new_width, new_height):\n new_image = np.zeros((new_height, new_width, 3), dtype='uint8')\n if len(image.shape)==2:\n new_image = np.zeros((new_height, new_width), dtype='uint8')\n ###Your code here###\n \n # if new_width < 0 or new_height < 0, np.zeros() will throw a ValueError.\n \n # if new_width == 0 or new_height == 0, we won't need to do any calculation.\n if new_width == 0 or new_height == 0:\n return new_image\n \n # resizing algorithm taken from\n # https://tech-algorithm.com/articles/nearest-neighbor-image-scaling/\n height, width = image.shape[0], image.shape[1]\n w_ratio = int(((width << 16) / new_width) + 1)\n h_ratio = int(((height << 16) / new_height) + 1)\n \n for h in range(new_height):\n for w in range(new_width):\n pw = int((w*w_ratio) >> 16)\n ph = int((h*h_ratio) >> 16)\n new_image[h,w] = image[ph, pw]\n ###\n return new_image","def resize_img(img, max_side=1000):\n height, width = img.shape\n # if the image is small enough as is, return it unchanged\n if height <= 1000 and width <= 1000:\n return img\n dim = tuple()\n if height > width:\n scale_ratio = max_side / height\n dim = (int(width * scale_ratio), max_side)\n else:\n scale_ratio = max_side / width\n dim = (max_side, int(height * scale_ratio))\n return cv2.resize(img, dim, interpolation=cv2.INTER_AREA)","def resize(input, size):\n layer = tf.image.resize_images(input, size, method=tf.image.ResizeMethod.BICUBIC, align_corners=True,\n preserve_aspect_ratio=True)\n return layer","def run(self, image):\n width, height = image.size\n resize_ratio = 1.0 * self.INPUT_SIZE / max(width, height)\n target_size = (int(resize_ratio * width), int(resize_ratio * height))\n resized_image = image.convert('RGB').resize(target_size, Image.ANTIALIAS)\n batch_seg_map = self.sess.run(\n self.OUTPUT_TENSOR_NAME,\n feed_dict={self.INPUT_TENSOR_NAME: [np.asarray(resized_image)]})\n seg_map = batch_seg_map[0]\n return resized_image, seg_map","def rescale_image(image: np.ndarray, scale: float) -> np.ndarray:\n (height, width) = image.shape[:2]\n new_dims = (int(width * scale), int(height * scale))\n return cv2.resize(image, new_dims, interpolation=cv2.INTER_CUBIC)","def resize_image(img: npt.ArrayLike, target_size: tuple(int, int)) -> npt.ArrayLike:\n\n ht, wt = target_size\n h, w = img.shape\n # scaling coefficient\n sc = min(wt / w, ht / h)\n tx = (wt - w * sc) / 2\n ty = (ht - h * sc) / 2\n \n # M = [[x_scale, x_shear, X_up_left], \n # [y_shear, y_scale, Y_up_left]]\n M = np.float32([[sc, 0, tx], [0, sc, ty]])\n img = cv2.warpAffine(img, M, dsize=(wt, ht), borderValue=0)\n\n return img / 255.","def rescale_by_width(image, target_width, method=cv2.INTER_LANCZOS4):\r\n h = int(round(target_width * image.shape[0] / image.shape[1]))\r\n return cv2.resize(image, (target_width, h), interpolation=method)","def resize(img,width):\n \n wpercent = float(width / float(img.size[0]))\n hsize = int((float(img.size[1])*float(wpercent)))\n img = img.resize((width ,hsize), Image.ANTIALIAS)\n\n return img","def resize(img,width):\n \n wpercent = float(width / float(img.size[0]))\n hsize = int((float(img.size[1])*float(wpercent)))\n img = img.resize((width ,hsize), Image.ANTIALIAS)\n\n return img","def Rescale(self):\r\n picWidth,picHeight = self.oldSize = self.GetSizeTuple()\r\n bitmap = self.scaled = self.bitmap\r\n if not bitmap: return\r\n imgWidth,imgHeight = bitmap.GetWidth(),bitmap.GetHeight()\r\n if self.scaling == 2 or (self.scaling == 1 and (imgWidth > picWidth or imgHeight > picHeight)):\r\n image = bitmap.ConvertToImage()\r\n factor = min(1.0*picWidth/imgWidth,1.0*picHeight/imgHeight)\r\n newWidth,newHeight = int(factor*imgWidth),int(factor*imgHeight)\r\n self.scaled = image.Scale(newWidth,newHeight).ConvertToBitmap()\r\n #self.scaled = image.Scale(newWidth,newHeight,wx.IMAGE_QUALITY_HIGH ).ConvertToBitmap()\r","def FlyResize( image, log_mess, nimages, method = Image.ANTIALIAS ):\n oldw, oldh = image.size\n resl = [8, 10, 14, 16, 20, 22, 24, 32, 40, 48, 64, 96, 128, 256]\n \n if oldw > 256 or oldh > 256:\n newsiz = min(resl, key = lambda x:abs(x - max(oldw, oldh)))\n image.thumbnail((newsiz, newsiz), method)\n neww, newh = image.size\n log_mess += ' and new size scaled = %s x %s' %(neww, newh)\n elif nimages > 1:\n log_mess += ' and size = %s x %s' %(oldw, oldh)\n \n return oldw, oldh, image, log_mess","def __resize_image(self, img):\n return cv2.resize(img, self.g.img_size, \n interpolation = cv2.INTER_CUBIC)","def reshape(input):\n\n input = input / 255\n input = trans.resize(input, (args.size, args.size))\n input = np.reshape(input, input.shape + (1,))\n input = np.reshape(input, (1,) + input.shape)\n return input","def process_image(image_path):\n\n # open the image\n image = Image.open(image_path)\n \n # print(\"Original Image size: \", image.size)\n \n # first resize the images where the shortest side is 256 px\n width, height = image.size\n size = 256, 256\n \n newwidth, newheight = None, None\n \n # if the height is the shorter side\n if height < width:\n # find ratio between larger and smaller side\n ratio = float(width) / float(height)\n # resize smaller side to 256\n newheight = 256\n # resize larger side to 256 * ratio\n newwidth = int(floor(ratio * size[0])) \n # else, the width is the shorter side\n else:\n # find ratio between larger and smaller side\n ratio = float(height)/float(width)\n # resize smaller side to 256\n newwidth = 256\n # resize larger side to 256 * ratio\n newheight = int(floor(ratio * size[1]))\n \n \n # print(\"W: {}, H: {}\".format(newwidth, newheight))\n \n # resize the image\n image = image.resize((newwidth, newheight), Image.ANTIALIAS)\n\n # print(\"Resized Image (keep aspect ratio): \", image.size)\n \n # perform center crop\n # https://stackoverflow.com/questions/16646183/crop-an-image-in-the-centre-using-pil\n width, height = image.size # Get dimensions\n new_height, new_width = 224, 224\n \n left = (width - new_width)/2\n top = (height - new_height)/2\n right = (width + new_width)/2\n bottom = (height + new_height)/2\n\n image = image.crop((left, top, right, bottom))\n # print(\"cropped image size: \", image.size)\n \n # convert encoded color channels and convert to floats (divide by 255)\n np_image = np.array(image) / 255\n # print(np_image)\n \n # normalize\n mean = [0.485, 0.456, 0.406]\n std = [0.229, 0.224, 0.225]\n np_image = (np_image - mean) / std\n \n # finally, transpose\n # print(\"shape 1: \", np_image.shape)\n np_image = np_image.transpose((2, 0, 1))\n # print(\"transposed shape: \", np_image.shape)\n \n # Originally, I was returning a numpy array, as I thought these were the instructions, but\n # when trying to test, it would not work. \n # Found solution at: https://knowledge.udacity.com/questions/29173\n # We have to convert to a tensor before we return it\n return torch.Tensor(np_image)","def transform_image(img, new_shape):\n img = img[0:720, 0:720]\n img = cv2.resize(img, (new_shape, new_shape)) / 255\n img = np.expand_dims(img, axis=0) # 3D to 4D\n return img","def _image_decode_resize_normalized(image_tensor,height, weight, is_normalized=True):\n image_tensor = tf.image.convert_image_dtype(image_tensor, dtype=tf.float32)\n image_tensor = tf.image.resize_images(image_tensor, [height, weight])\n if is_normalized:\n image_tensor /= 255\n return image_tensor","def normalize_image(image, img_size):\n res = tf.image.resize_image_with_crop_or_pad(image, target_height=img_size, target_width=img_size)\n res = (tf.to_float(res) - 127.5) / 127.5\n res = tf.reshape(res, (img_size, img_size, 1))\n res.shape.assert_is_compatible_with([img_size, img_size, 1])\n return res","def pixelate(image, n_w, n_h):\n image = image.resize((n_w, n_h), Image.ANTIALIAS)\n return image","def resize(im, new_size, preserve_aspect_ratio=True, prefilter=True):\n factors = [new_size[i] / im.shape[i] for i in range(2)]\n\n #assert factors[0] == factors[1], \"Must have same factor for now\"\n f = factors[0] \n \n if f < 1:\n im2 = pyramid_reduce(im, downscale=1/f)\n elif f > 1:\n im2 = pyramid_expand(im, upscale=f)\n else:\n im2 = im\n\n assert im2.shape[:2] == tuple(new_size), \"{0} != {1} (original size: {2})\".format(im2.shape, new_size, im.shape)\n \n return im2","def normalise(image):","def obscure_image(image):\n size = image.size\n pixel_size = 9\n if size[0] < 9 or size[1] < 9:\n return image\n image_f = image.filter(ImageFilter.MaxFilter)\n image_s = image_f.resize((size[0] / pixel_size, size[1] / pixel_size), Image.NEAREST)\n image_l = image_s.resize((size[0], size[1]), Image.NEAREST)\n\n return image_l","def __resize_512p(input_data):\n rate = 1\n test_size=512\n if input_data['img'].shape[0] > input_data['img'].shape[1]:\n if True: # input_data['img'].shape[1] < 512:\n rate = test_size / input_data['img'].shape[1]\n seq = iaa.Sequential([\n iaa.Scale({'height': \"keep-aspect-ratio\", 'width': test_size}, 'cubic')\n ])\n input_data['img'] = seq.augment_image(input_data['img'])\n else:\n if True: # input_data['img'].shape[0] < 512:\n rate = test_size / input_data['img'].shape[0]\n seq = iaa.Sequential([\n iaa.Scale({'height': test_size, 'width': \"keep-aspect-ratio\"}, 'cubic')\n ])\n input_data['img'] = seq.augment_image(input_data['img'])\n\n if DataAugmentor._is_synthtext(input_data):\n input_data['contour'] = [[np.cast['int32'](contour * rate) for contour in contours] for contours in\n input_data['contour']]\n else:\n input_data['contour'] = [np.cast['int32'](contour * rate) for contour in input_data['contour']]\n input_data['center_point'] = [(np.cast['int32'](point[0] * rate),\n np.cast['int32'](point[1] * rate)) for point in input_data['center_point']]\n return input_data","def preprocess(path, img_w, img_h):\n #print(path)\n img = cv2.imread(path)\n #print(img.shape)\n #resizing the image to particular size (64, 128, 3)\n img = fix_size(img, img_w, img_h)\n #print(img.shape)\n \n #assigining values less than zero to zer0 and greater than zero to 1\n img = np.clip(img, 0, 255)\n\n #changing the interger to more useful and complex integer\n img = np.uint8(img)\n\n #convert an image to one color space to another\n img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)\n \n #chaging the values datatype to float\n img = img.astype(np.float32)\n\n #normalization\n img /= 255\n return img","def resizeImg(img, maxXSize=720):\r\n if img.size[1] > maxXSize:\r\n downRat = maxXSize / img.size[1]\r\n outImg = img.resize((int(img.size[0] * downRat),maxXSize))\r\n else:\r\n outImg = img\r\n return outImg","def _preprocess_image(self, image):\n img = tf.convert_to_tensor(image)\n # img = tf.io.decode_image(img, channels=3)\n img = tf.image.convert_image_dtype(img, tf.uint8)\n\n resized_img = tf.image.resize(img, (self._input_height, self._input_width))\n resized_img = resized_img[tf.newaxis, :]\n return resized_img","def resizeImage(image, newSize):\n\n # scale image\n scaledImage = cv2.resize(image, newSize)\n return scaledImage","def resize_img(img, STANDARD_SIZE, verbose=False):\n if verbose:\n print \"changing size from %s to %s\" % (str(img.size), str(STANDARD_SIZE))\n img = img.resize(STANDARD_SIZE)\n return img","def resize(im: Image) -> Image:\n size_factor = random.uniform(*ImageOperations.config.get('resize_interval'))\n return im.resize((\n int(round(im.height * size_factor, 0)),\n int(round(im.width * size_factor, 0))\n ))","def resize(img, size):\n img = tf.expand_dims(img, 0)\n return tf.image.resize_bilinear(img, size)[0,:,:,:]","def process(self):\n self.output_image = cv.resize(\n self.input_image,\n (self.WIDTH, self.HEIHGT),\n )\n return self.output_image","def resize_from_img(img, imgname, size=(128, 128)):\n try:\n img = img.resize(size, Image.LANCZOS)\n img.save(imgname)\n except Exception as error:\n logging.error(traceback.format_exc())","def fix_resolution(image, side=128):\n f = 128 / np.max(image.shape)\n \n fixed_image = cv2.resize(image, None, fx=f, fy=f, interpolation=cv2.INTER_NEAREST)\n \n result_image = np.zeros((side, side))\n \n h, l = fixed_image.shape[:2]\n result_image[:h,:l] = fixed_image\n \n return result_image","def preprocess(img: 'np.ndarray') -> 'np.ndarray':\n return cv2.resize(img, (45, 45), interpolation=cv2.INTER_AREA)[:,:,:3]","def resize(img, min_size=512):\n width, height, _ = tf.unstack(tf.shape(img), num=3)\n if height < width:\n new_height = min_size\n new_width = int(width * new_height / height)\n else:\n new_width = min_size\n new_height = int(height * new_width / width)\n\n img = tf.image.resize(img, size=(new_width, new_height))\n return img","def resizeImages(img_path,size=(50,50)):\n image = cv2.imread(img_path)\n resized = cv2.resize(image, size, interpolation=cv2.INTER_CUBIC)\n img=np.array([resized.flatten()])\n #print('resized image')\n return img","def scale_image(img, factor=1):\n\treturn cv2.resize(img,(int(img.shape[1]*factor), int(img.shape[0]*factor)))","def upscale(x, n):\n if n == 1:\n return x\n x_shape = tf.shape(x)\n height, width = x_shape[1], x_shape[2]\n return tf.image.resize_nearest_neighbor(x, [n * height, n * width])\n # return tf.batch_to_space(tf.tile(x, [n**2, 1, 1, 1]), [[0, 0], [0, 0]], n)","def img_resize(img, img_height):\n\n\timg_width = int(img_height*img.shape[1]/img.shape[0])\n\n\timg_pil = Image.fromarray(img) # convert array back to image\n\n\timg_pil_resize = img_pil.resize((img_width, img_height), Image.LANCZOS) # resize\n\n\treturn np.array(img_pil_resize)","def process_image(self, image):\n min_ = np.min(image.size)\n max_ = np.max(image.size)\n\n # Find dimension of the longest side if the shortest side is resized to\n # 256 pixels.\n dimension = 256 * max_ / min_\n\n # Resize to dimension x dimension max resolution and preserve the\n # aspect ratio.\n image.thumbnail((dimension, dimension))\n\n crop_dim = 224 # crop dimension 224 x 224 pixels\n # Find center crop coordinates\n width, height = image.size\n left = (width - crop_dim) / 2\n top = (height - crop_dim) / 2\n right = (width + crop_dim) / 2\n bottom = (height + crop_dim) / 2\n\n np_image = np.array(image.crop((left, top, right, bottom))) / 255\n\n means = np.array([0.485, 0.456, 0.406])\n std_devs = np.array([0.229, 0.224, 0.225])\n\n np_image = (np_image - means) / std_devs\n np_image = np_image.transpose((2, 0, 1))\n\n return np_image","def scale_image(img, factor=1):\n return cv2.resize(img, (int(img.shape[1] * factor), int(img.shape[0] * factor)))","def imresize(im,sz):\n pil_im = Image.fromarray(uint8(im))\n return np.array(pil_im.resize(sz))","def preprocess_image(self, image_path, input_size):\n img = tf.io.read_file(image_path)\n img = tf.io.decode_image(img, channels=3)\n img = tf.image.convert_image_dtype(img, tf.uint8)\n resized_img = tf.image.resize(img, input_size)\n resized_img = resized_img[tf.newaxis, :]\n return resized_img","def preprocess(img):\r\n\r\n sorted = np.sort(img, axis=None)\r\n min = sorted[int(removeLower*sorted.size)]\r\n max = sorted[int((1.0-removeUpper)*sorted.size)]\r\n\r\n size = int(cropsize + np.random.rand()*(height-cropsize))\r\n topLeft_x = int(np.random.rand()*(height-size))\r\n topLeft_y = int(np.random.rand()*(height-size))\r\n\r\n crop = np.clip(img[topLeft_y:(topLeft_y+cropsize), topLeft_x:(topLeft_x+cropsize)], min, max)\r\n\r\n resized = cv2.resize(crop, (cropsize, cropsize), interpolation=cv2.INTER_AREA)\r\n\r\n resized[np.isnan(resized)] = 0.5\r\n resized[np.isinf(resized)] = 0.5\r\n\r\n return scale0to1(flip_rotate(resized))","def preprocess(img):\n dim=(227,227)\n resize_width = 224\n resize_height = 224\n\n img=cv2.resize(img,dim)\n #img=cv2.normalize(img,None,alpha=0,beta=1,norm_type=cv2.NORM_MINMAX,dtype=cv2.CV_32F)\n img = img.astype(numpy.float32)\n\n #Preprocess image changing the RGB pixel values to\t the values the network needs\n # to do this we subtract the mean and multiply the std for each channel (R, G and B)\n # these mean and std values come from the stat.txt file that must accompany the\n # graph file for the network.\n \n img[:,:,0] = (img[:,:,0] - gNetworkMean[0])\n img[:,:,1] = (img[:,:,1] - gNetworkMean[1])\n img[:,:,2] = (img[:,:,2] - gNetworkMean[2])\n \n\n # Finally we return the values as Float16 rather than Float32 as that is what the network expects.\n cv2.imshow(\"Frame\", img)\n return img.astype('float16') #age_float_array.astype(numpy.float16)","def resize_NN_image(tomo, training = False):\r\n\tif training:\r\n\t\ttomo = np.delete(tomo,[0], axis = 2)\r\n\t\ttomo = np.concatenate((tomo,np.zeros((tomo.shape[0],1,tomo.shape[2]),dtype = np.float32)), axis=1)\r\n\t\ttomo = tomo[:,np.newaxis,:,:]\r\n\r\n\telse:\r\n\t\ttomo = tomo[:,0,:,:]\r\n\t\ttomo = np.delete(tomo,[tomo.shape[1]-1], axis = 1)\r\n\t\ttomo = np.concatenate((np.zeros((tomo.shape[0],tomo.shape[1],1),dtype = np.float32),tomo), axis =2)\r\n\r\n\treturn tomo","def image_resize(image: Image, size: (int, int)) -> array:\n image = Image.fromarray(uint8(image))\n\n return array(image.resize(size))","def resize_image(img, image_width=128):\n # compute scale to resize the image\n scale = image_width / img.shape[1]\n\n # resize the image with the computed scale\n img = cv2.resize(img, None, fx=scale, fy=scale)\n\n return img","def resize_image(img, width, height):\n\n return cv2.resize(img, (width, height))","def fix_resolution(image, side=128):\n f = side / np.max(image.shape)\n \n fixed_image = cv2.resize(image, None, fx=f, fy=f, interpolation=cv2.INTER_NEAREST)\n \n result_image = np.zeros((side, side) + image.shape[2:])\n \n h, l = fixed_image.shape[:2]\n result_image[:h,:l] = fixed_image\n \n return result_image","def normalise(dataset):\n # Scale images to the [0, 1] range\n dataset = dataset.astype(\"float32\") / 255\n # Make sure images have shape (28, 28, 1)\n return np.expand_dims(dataset, -1)","def run(self, image):\n width, height = image.size\n resize_ratio = 1.0 * self.INPUT_SIZE / max(width, height)\n target_size = (int(resize_ratio * width), int(resize_ratio * height))\n resized_image = image.convert('RGB').resize(target_size, Image.ANTIALIAS)\n batch_seg_map = self.sess.run(\n self.OUTPUT_TENSOR_NAME,\n feed_dict={self.INPUT_TENSOR_NAME: [np.asarray(resized_image)]})\n seg_map = batch_seg_map[0]\n return resized_image, seg_map","def preprocess(img, transformation = transforms.ToTensor(), to_size = (200,200)):\n if isinstance(img, np.ndarray):\n img = Image.fromarray(img)\n img.thumbnail(to_size)\n img = np.array(img)\n diff_x = np.ceil((to_size[0] - img.shape[0])/2).astype(int)\n diff_y = np.ceil((to_size[1] - img.shape[1])/2).astype(int)\n padded = np.pad(img/255.0 , pad_width= ((diff_x,diff_x),(diff_y,diff_y),(0,0)))\n return transformation(padded[0:to_size[0], 0:to_size[1]])","def resize(img, height=800):\n ratio = height / img.shape[0]\n return cv2.resize(img, (int(ratio * img.shape[1]), height))","def resize(img, size, method=\"bilinear\"):\n if method == Image.BILINEAR or method == \"bilinear\":\n method = cv2.INTER_AREA\n elif method == Image.CUBIC or method == \"cubic\":\n method = cv2.INTER_CUBIC\n elif method == Image.NEAREST or method == \"nearest\":\n method = cv2.INTER_NEAREST\n else:\n raise RuntimeError(\"wrong method {}\".format(method))\n if not isinstance(size, (tuple, list)):\n size = (size, size)\n if isinstance(size ,list):\n size = tuple(size)\n im = np.array(img)\n im = cv2.resize(im, size, interpolation=method)\n return Image.fromarray(im)","def preprocess_image(image, height, width):\n image = np.uint8(\n resize(rgb2gray(image), [height, width], mode='constant')*255)\n image = np.reshape(image, [height, width, 1])/255.\n return image","def image_preprocess(image: str):\n if type(image) == str:\n image = cv2.imread(image)\n \n image_cropped = image[25:375, :]\n \n image = cv2.resize(image_cropped, IMG_SIZE, interpolation = cv2.INTER_AREA)\n \n return image","def change_resolution(img):\n scale_factor = np.random.choice(list(range(0, 6, 2)))\n if scale_factor == 0:\n return img\n downsample = nn.AvgPool2d(scale_factor)\n upsample = nn.UpsamplingNearest2d(scale_factor=scale_factor)\n new_res_img = upsample(downsample(img.unsqueeze(dim=1))).squeeze()\n return new_res_img","def prepare_image(im):\n width, height = im.size\n if width > 256 or height > 256:\n factor = 256.0 / max(width, height)\n im = im.resize((int(factor * width), int(factor * height)),\n Image.BILINEAR)\n return im","def reshape_normalise(img):\n\t# The image shape is expected to match the input of VGG19\n\timg = np.resize(img, (1, CONFIG.IMAGE_HEIGHT, CONFIG.IMAGE_WIDTH, CONFIG.COLOR_CHANNELS)).astype('float32')\n\timg -= CONFIG.MEAN_PIXEL\n\treturn img","def run(self, image):\n width, height = image.size\n resize_ratio = 1.0 * self.INPUT_SIZE / max(width, height)\n target_size = (int(resize_ratio * width), int(resize_ratio * height))\n resized_image = image.convert('RGB').resize(\n target_size, Image.ANTIALIAS)\n batch_seg_map = self.sess.run(\n self.OUTPUT_TENSOR_NAME,\n feed_dict={self.INPUT_TENSOR_NAME: [np.asarray(resized_image)]})\n seg_map = batch_seg_map[0]\n return resized_image, seg_map","def resize_image(self, width=200):\n self.new_width = width\n aspect_ratio = self.original_height/float(self.original_width)\n self.new_height = int(aspect_ratio * self.new_width)\n\n resized_image = self.image.resize((self.new_width, self.new_height), Image.BILINEAR)\n return resized_image"],"string":"[\n \"def resize_128(img): \\n return cv2.resize(img,(128,128))\",\n \"def image_resize(img, min_size=600, max_size=1000):\\n C, H, W = img.shape\\n scale1 = min_size / min(H, W)\\n scale2 = max_size / max(H, W)\\n scale = min(scale1, scale2)\\n img = img / 255\\n img = transform.resize(img, (C, H * scale, W * scale),\\n mode='reflect', anti_aliasing=False)\\n # img = pytorch_normalize(img)\\n # img = caffe_normalize(img)\\n return img\",\n \"def scale_image(image=np.zeros((100,100)), \\n new_width=100,\\n ascii_block_size=(2,3)):\\n \\n original_width, original_height = image.shape\\n aspect_ratio = original_height / float(original_width)\\n w,h = ascii_block_size\\n new_height = int(h/w * aspect_ratio * new_width)\\n\\n return skimage.transform.resize(image, (new_width, new_height))\",\n \"def process_image(image):\\n image = resize(image)\\n return image\",\n \"def resize_function(input):\\n\\n from keras.backend import tf as ktf\\n return ktf.image.resize_images(input, (64, 64))\",\n \"def _resize(img, max_dim=128):\\n if max(img.shape[:3]) <= max_dim:\\n return img\\n else:\\n new_size = [max_dim / s if s >= max_dim else 1.0 for s in img.shape[:3]]\\n new_size.append(1.0) # for channel\\n return scipy.ndimage.zoom(img, new_size, order=2)\",\n \"def _do_adaptive_shrinking(self, im):\\n im_sz = list(im.shape)\\n dim = len(im_sz)\\n dim_to_pad = [dim_sz%self.adaptive_padding!=0 and dim_sz>3 for dim_sz in im_sz]\\n dim_rem = [dim_sz//self.adaptive_padding for dim_sz in im_sz]\\n new_dim_sz = [(dim_rem[i])*self.adaptive_padding if dim_to_pad[i] else im_sz[i] for i in range(dim)]\\n before_id = [(-new_dim_sz[i] +im_sz[i]+1)//2 for i in range(dim)]\\n after_id = [new_dim_sz[i] + before_id[i] for i in range(dim)]\\n new_img = im[before_id[0]:after_id[0],before_id[1]:after_id[1],before_id[2]:after_id[2]].copy()\\n return new_img\",\n \"def resizeImage(IMG,IMAGE_SIZE):\\n\\n RESCALED_IMAGE = skimage.transform.resize(IMG,[IMG.shape[0],IMAGE_SIZE,IMAGE_SIZE])\\n return RESCALED_IMAGE\",\n \"def preprocess(image, min_size=600, max_size=1000):\\n normalize = tf.Normalize(mean=[0.485, 0.456, 0.406],\\n \\tstd=[0.229, 0.224, 0.225])\\n\\n\\n C, H, W = image.shape\\n scale1 = min_size / min(H, W)\\n scale2 = max_size / max(H, W)\\n scale = min(scale1, scale2)\\n image = image / 255.\\n image = sktsf.resize(image, (C, H * scale, W * scale), mode='reflect',anti_aliasing=False)\\t#change this to torch\\n # both the longer and shorter should be less than\\n # max_size and min_size\\n\\n image = normalize(t.from_numpy(image))\\n return image.numpy()\",\n \"def __resize_to_32x(input_data):\\n rate = 1\\n while min(input_data['img'].shape[:2])>736:\\n test_size = 736\\n if input_data['img'].shape[0] > input_data['img'].shape[1]:\\n if True: # input_data['img'].shape[1] < 512:\\n rate = test_size / input_data['img'].shape[1]\\n seq = iaa.Sequential([\\n iaa.Scale({'height': \\\"keep-aspect-ratio\\\", 'width': test_size}, 'cubic')\\n ])\\n input_data['img'] = seq.augment_image(input_data['img'])\\n else:\\n if True: # input_data['img'].shape[0] < 512:\\n rate = test_size / input_data['img'].shape[0]\\n seq = iaa.Sequential([\\n iaa.Scale({'height': test_size, 'width': \\\"keep-aspect-ratio\\\"}, 'cubic')\\n ])\\n input_data['img'] = seq.augment_image(input_data['img'])\\n\\n if DataAugmentor._is_synthtext(input_data):\\n input_data['contour'] = [[np.cast['int32'](contour * rate) for contour in contours] for contours in\\n input_data['contour']]\\n else:\\n input_data['contour'] = [np.cast['int32'](contour * rate) for contour in input_data['contour']]\\n input_data['center_point'] = [(np.cast['int32'](point[0] * rate),\\n np.cast['int32'](point[1] * rate)) for point in input_data['center_point']]\\n p_row = 0\\n while True:\\n if (input_data['img'].shape[0] + p_row) % 32 == 0:\\n break\\n p_row += 1\\n p_col = 0\\n while True:\\n if (input_data['img'].shape[1] + p_col) % 32 == 0:\\n break\\n p_col += 1\\n\\n input_data['img'] = np.pad(input_data['img'], ((0, p_row), (0, p_col), (0, 0)), mode='constant')\\n\\n return input_data\",\n \"def rescale_image(image, scale=0.50):\\r\\n \\r\\n wi = int(image.shape[1]*scale)\\r\\n hei = int(image.shape[0]*scale)\\r\\n dimension = (wi, hei)\\r\\n return cv.resize(image, dimension, interpolation = cv.INTER_AREA)\",\n \"def resize(image):\\r\\n return cv2.resize(image, (200, 66), interpolation=cv2.INTER_AREA)\",\n \"def resize_image(image, size):\\n return skimage.transform.resize(image, size, mode='reflect', preserve_range=True).astype(image.dtype)\",\n \"def preprocessImage(img):\\n shape = img.shape\\n img = img[math.floor(shape[0]/4) : shape[0] - 25, 0:shape[1]]\\n img = cv2.resize(img, (img_columns, img_rows), interpolation = cv2.INTER_AREA)\\n return img\",\n \"def imresize(img, size):\\n if hasattr(size, \\\"__len__\\\"):\\n num_rows, num_cols = size\\n assert (num_rows > 0) or (num_cols > 0)\\n if num_rows < 0:\\n num_rows = num_cols * img.shape[0] / img.shape[1]\\n if num_cols < 0:\\n num_cols = num_rows * img.shape[1] / img.shape[0]\\n else:\\n num_rows = int(round(img.shape[0] * size))\\n num_cols = int(round(img.shape[1] * size))\\n return skimage.transform.resize(img, (num_rows, num_cols))\",\n \"def scale_down(image:np.array)->np.array:\\n src = image\\n scale_percent = 25\\n width = int(src.shape[1] * scale_percent / 100)\\n height = int(src.shape[0] * scale_percent / 100)\\n dsize = (width, height)\\n output = cv2.resize(src, dsize)\\n return output\",\n \"def transform_images(x_image: tf.Tensor, size: int) -> tf.Tensor:\\n x_image = tf.image.resize(x_image, (size, size))\\n x_image = x_image / 255\\n return x_image\",\n \"def retinanet_resize_image(img, min_side=800, max_side=1333):\\n # compute scale to resize the image\\n scale = retinanet_compute_resize_scale(img.shape, min_side=min_side, max_side=max_side)\\n # scale = round(scale, 4)\\n # print(\\\"scale: \\\", scale)\\n\\n # resize the image with the computed scale\\n img = cv2.resize(img, None, fx=scale, fy=scale)\\n\\n return img, scale\",\n \"def resize(img, size):\\n img = cv2.resize(img, tuple(size[::-1]))\\n return img\",\n \"def preprocess_image(image, model_image_size):\\n #resized_image = cv2.resize(image, tuple(reversed(model_image_size)), cv2.INTER_AREA)\\n resized_image = letterbox_resize(image, tuple(reversed(model_image_size)))\\n image_data = np.asarray(resized_image).astype('float32')\\n image_data = normalize_image(image_data)\\n image_data = np.expand_dims(image_data, 0) # Add batch dimension.\\n return image_data\",\n \"def resize(image, size):\\n return np.array(Image.fromarray(image).resize(size))\",\n \"def resize_image(image: Image) -> Image:\\n expected_x: int = 1024\\n expected_y: int = 768\\n x, y = image.size\\n if x > expected_x or y > expected_y:\\n scale = min(expected_x / x, expected_y / y)\\n return image.resize((int(x * scale), int(y * scale)))\\n else:\\n return image.resize((int(0.9*x), int(0.9*y)))\",\n \"def transform_image_mnist(gray, target_size = (28, 28)):\\n # gray\\n gray = cv2.cvtColor(gray, cv2.COLOR_RGB2GRAY)\\n _save_img_file(\\\"outputs/test_1_gray.png\\\", gray)\\n\\n # invert\\n gray = 255-gray\\n _save_img_file(\\\"outputs/test_1_gray_invert.png\\\", gray)\\n \\n # rescale it\\n gray = cv2.resize(gray, target_size)\\n _save_img_file('outputs/test_2_rescale.png',gray)\\n\\n # better black and white version\\n gray = threshold(gray, \\\"mean\\\")\\n _save_img_file('outputs/test_3_thresh.png',gray)\\n\\n while np.sum(gray[0]) == 0:\\n gray = gray[1:]\\n\\n while np.sum(gray[:,0]) == 0:\\n gray = np.delete(gray,0,1)\\n\\n while np.sum(gray[-1]) == 0:\\n gray = gray[:-1]\\n\\n while np.sum(gray[:,-1]) == 0:\\n gray = np.delete(gray,-1,1)\\n\\n _save_img_file('outputs/test_4.png',gray)\\n #print(gray.shape)\\n rows,cols = gray.shape\\n\\n if rows > cols:\\n factor = 20.0/rows\\n rows = 20\\n cols = int(round(cols * factor))\\n # first cols than rows\\n gray = cv2.resize(gray, (cols, rows))\\n else:\\n factor = 20.0/cols\\n cols = 20\\n rows = int(round(rows * factor))\\n # first cols than rows\\n gray = cv2.resize(gray, (cols, rows))\\n\\n colsPadding = (int(math.ceil((28-cols)/2.0)),int(math.floor((28-cols)/2.0)))\\n rowsPadding = (int(math.ceil((28-rows)/2.0)),int(math.floor((28-rows)/2.0)))\\n gray = np.lib.pad(gray,(rowsPadding,colsPadding),'constant')\\n _save_img_file('outputs/test_5.png',gray)\\n\\n shiftx, shifty = getBestShift(gray)\\n shifted = shift(gray, shiftx, shifty)\\n gray = shifted\\n \\n _save_img_file('outputs/test_final.png',gray)\\n\\n return gray\",\n \"def resize(image):\\n return cv2.resize(image, (320, 160), interpolation=cv2.INTER_AREA)\",\n \"def run(self, image):\\n # width, height = image.size\\n # resize_ratio = 1.0 * self.INPUT_SIZE / max(width, height)\\n # target_size = (int(resize_ratio * width), int(resize_ratio * height))\\n target_size = (self.INPUT_SIZE, self.INPUT_SIZE)\\n resized_image = image.convert('RGB').resize(target_size, Image.ANTIALIAS)\\n net_image = resized_image\\n if params.HZ_preprocess_activate:\\n net_image = params.image_preprocess_func(resized_image)\\n net_image = np.expand_dims(net_image, axis=-1)\\n batch_seg_map = self.sess.run(\\n self.OUTPUT_TENSOR_NAME,\\n feed_dict={self.INPUT_TENSOR_NAME: [np.asarray(net_image)]})\\n seg_map = batch_seg_map[0]\\n return resized_image, seg_map\",\n \"def preprocess_image(image: Image.Image, max_size: int = 1200) -> Image.Image:\\n width_0, height_0 = image.size\\n\\n if max((width_0, height_0)) <= max_size:\\n return image\\n\\n if width_0 > height_0:\\n aspect_ratio = max_size / float(width_0)\\n new_height = int(float(height_0) * float(aspect_ratio))\\n image = image.resize((max_size, new_height), Image.ANTIALIAS)\\n return image\\n else:\\n aspect_ratio = max_size / float(height_0)\\n new_width = int(float(width_0) * float(aspect_ratio))\\n image = image.resize((max_size, new_width), Image.ANTIALIAS)\\n return image\",\n \"def resize_image():\\r\\n print(\\\"--- resizing the image ---\\\")\\r\\n if args.image:\\r\\n img = cv2.imread(args.image)\\r\\n img = cv2.resize(img, (32, 32))\\r\\n img = np.array(img, dtype=np.uint8)\\r\\n img = img.reshape(32, 32, 3) / 255\\r\\n img = np.expand_dims(img, axis=0)\\r\\n print(\\\"--- done resizing the image ---\\\")\\r\\n return img\\r\\n else:\\r\\n print(\\\"Please enter a path of an image to check for it's label\\\")\",\n \"def resize(img):\\n size = (500, 500)\\n img.thumbnail(size)\\n return img\",\n \"def transform_images(img, size):\\n return tf.image.resize(img, (size, size)) / 255\",\n \"def preprocess(img, min_size, max_size):\\n if(min_size > max_size):\\n raise Exception('min_size should not exceed max_size')\\n \\n width, height = img.size\\n minDim = min(width,height)\\n maxDim = max(width,height)\\n scale_shorter_side = min_size/minDim\\n scale_longer_side = maxDim * scale_shorter_side\\n if(scale_longer_side > max_size):\\n scale = max_size/maxDim\\n else:\\n scale = scale_shorter_side\\n transform = transforms.Compose([\\n transforms.Resize((round(img.height*scale),round(img.width * scale))),\\n transforms.ToTensor(),\\n transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])\\n ])\\n img = transform(img)\\n return scale,img\",\n \"def transform_image(self):\\n im = cv2.imread(\\\"result.png\\\", 0)\\n im2 = cv2.resize(im, (28, 28))\\n im = im2.reshape(28, 28, -1)\\n im = im.reshape(1, 1, 28, 28)\\n im = cv2.bitwise_not(im)\\n im = im.reshape(28,28)\\n \\n with out:\\n clear_output()\\n \\n # resize\\n img = np.array(im)\\n img = img.reshape(28*28,)\\n \\n #img = img/255.0\\n \\n return img\",\n \"def resize_image(img):\\n ratio = float(img.size[1]) / float(img.size[0])\\n\\n if ratio > 1.73:\\n h, w = 320, 160 # 512, 256\\n elif ratio < 1.0 / 1.73:\\n h, w = 160, 320 # 256, 512\\n elif ratio > 1.41:\\n h, w = 384, 256\\n elif ratio < 1. / 1.41:\\n h, w = 256, 384\\n elif ratio > 1.15:\\n h, w = 320, 240 # 512, 384\\n elif ratio < 1. / 1.15:\\n h, w = 240, 320 # 384, 512\\n else:\\n h, w = 320, 320 # 384, 384\\n\\n h = int(h)\\n w = int(w)\\n img = TF.resize(img, size=[h, w], interpolation=Image.BILINEAR)\\n return img\",\n \"def preprocessing(image, w, h):\\n image = cv2.resize(image, (w, h))\\n image = np.transpose(image, (2, 0, 1))\\n image = image.reshape(1, 3, h, w)\\n \\n return image\",\n \"def rescale(self, img):\\n\\n if self.scale != 1:\\n return imutils.resize(img, width=int(img.shape[1] * self.scale))\\n else:\\n return img\",\n \"def resize_img_norescale(img, size):\\n w,h = size\\n shape = (h,w)\\n out = np.zeros(shape, dtype=img.dtype)\\n i = min(img.shape[0], out.shape[0])\\n j = min(img.shape[1], out.shape[1])\\n out[0:i,0:j] = img[0:i, 0:j]\\n return out\",\n \"def rescale_image_0255(image):\\n # scale image to from [0.0, 1.0] to [0, 255]\\n image *= 255\\n return image.astype(np.uint8)\",\n \"def resize(image):\\n\\treturn cv2.resize(image, \\n\\t\\t\\t\\t\\t (FACE_WIDTH, FACE_HEIGHT), \\n\\t\\t\\t\\t\\t interpolation=cv2.INTER_LANCZOS4)\",\n \"def __resize_to_512(input_data):\\n test_size = 720\\n\\n if DataAugmentor._is_synthtext(input_data):\\n input_data['contour'] = [[np.cast['int32'](np.stack([contour[:, :, 0] * 512 / input_data['img'].shape[0],\\n contour[:, :, 1] * 512 / input_data['img'].shape[1]],\\n axis=-1))\\n for contour in contours] for contours in input_data['contour']]\\n else:\\n input_data['contour'] = [np.cast['int32'](np.stack([contour[:, :, 0] * 512 / input_data['img'].shape[0],\\n contour[:, :, 1] * 512 / input_data['img'].shape[1]],\\n axis=-1)) for contour in input_data['contour']]\\n input_data['center_point'] = [(np.cast['int32'](point[0] * 512 / input_data['img'].shape[0]),\\n np.cast['int32'](point[1] * 512 / input_data['img'].shape[1]))\\n for point in input_data['center_point']]\\n\\n seq = iaa.Sequential([\\n iaa.Scale({'height': 512, 'width': 512}, 'cubic')\\n ])\\n input_data['img'] = seq.augment_image(input_data['img'])\\n\\n return input_data\",\n \"def run(self, image):\\r\\n width, height = image.size\\r\\n resize_ratio = 1.0 * self.INPUT_SIZE / max(width, height)\\r\\n target_size = (int(resize_ratio * width), int(resize_ratio * height))\\r\\n resized_image = image.convert('RGB').resize(target_size, Image.ANTIALIAS)\\r\\n batch_seg_map = self.sess.run(\\r\\n self.OUTPUT_TENSOR_NAME,\\r\\n feed_dict={self.INPUT_TENSOR_NAME: [np.asarray(resized_image)]})\\r\\n seg_map = batch_seg_map[0]\\r\\n return resized_image, seg_map\",\n \"def img_preprocess(self, img, output_size=64):\\n w, h = img.size\\n if w > h:\\n box_param = (int(w * 0.5 - h * 0.5), 0, int(w * 0.5 + h * 0.5), h)\\n cropped = img.crop(box_param)\\n else: # w < h\\n box_param = (0, int(h * 0.5 - w * 0.5), w, int(h * 0.5 + w * 0.5))\\n cropped = img.crop(box_param)\\n\\n resized = cropped.resize((output_size, output_size))\\n resized = np.asarray(resized)\\n\\n return resized\",\n \"def cs4243_resize(image, new_width, new_height):\\n new_image = np.zeros((new_height, new_width, 3), dtype='uint8')\\n if len(image.shape)==2:\\n new_image = np.zeros((new_height, new_width), dtype='uint8')\\n ###Your code here###\\n \\n # if new_width < 0 or new_height < 0, np.zeros() will throw a ValueError.\\n \\n # if new_width == 0 or new_height == 0, we won't need to do any calculation.\\n if new_width == 0 or new_height == 0:\\n return new_image\\n \\n # resizing algorithm taken from\\n # https://tech-algorithm.com/articles/nearest-neighbor-image-scaling/\\n height, width = image.shape[0], image.shape[1]\\n w_ratio = int(((width << 16) / new_width) + 1)\\n h_ratio = int(((height << 16) / new_height) + 1)\\n \\n for h in range(new_height):\\n for w in range(new_width):\\n pw = int((w*w_ratio) >> 16)\\n ph = int((h*h_ratio) >> 16)\\n new_image[h,w] = image[ph, pw]\\n ###\\n return new_image\",\n \"def resize_img(img, max_side=1000):\\n height, width = img.shape\\n # if the image is small enough as is, return it unchanged\\n if height <= 1000 and width <= 1000:\\n return img\\n dim = tuple()\\n if height > width:\\n scale_ratio = max_side / height\\n dim = (int(width * scale_ratio), max_side)\\n else:\\n scale_ratio = max_side / width\\n dim = (max_side, int(height * scale_ratio))\\n return cv2.resize(img, dim, interpolation=cv2.INTER_AREA)\",\n \"def resize(input, size):\\n layer = tf.image.resize_images(input, size, method=tf.image.ResizeMethod.BICUBIC, align_corners=True,\\n preserve_aspect_ratio=True)\\n return layer\",\n \"def run(self, image):\\n width, height = image.size\\n resize_ratio = 1.0 * self.INPUT_SIZE / max(width, height)\\n target_size = (int(resize_ratio * width), int(resize_ratio * height))\\n resized_image = image.convert('RGB').resize(target_size, Image.ANTIALIAS)\\n batch_seg_map = self.sess.run(\\n self.OUTPUT_TENSOR_NAME,\\n feed_dict={self.INPUT_TENSOR_NAME: [np.asarray(resized_image)]})\\n seg_map = batch_seg_map[0]\\n return resized_image, seg_map\",\n \"def rescale_image(image: np.ndarray, scale: float) -> np.ndarray:\\n (height, width) = image.shape[:2]\\n new_dims = (int(width * scale), int(height * scale))\\n return cv2.resize(image, new_dims, interpolation=cv2.INTER_CUBIC)\",\n \"def resize_image(img: npt.ArrayLike, target_size: tuple(int, int)) -> npt.ArrayLike:\\n\\n ht, wt = target_size\\n h, w = img.shape\\n # scaling coefficient\\n sc = min(wt / w, ht / h)\\n tx = (wt - w * sc) / 2\\n ty = (ht - h * sc) / 2\\n \\n # M = [[x_scale, x_shear, X_up_left], \\n # [y_shear, y_scale, Y_up_left]]\\n M = np.float32([[sc, 0, tx], [0, sc, ty]])\\n img = cv2.warpAffine(img, M, dsize=(wt, ht), borderValue=0)\\n\\n return img / 255.\",\n \"def rescale_by_width(image, target_width, method=cv2.INTER_LANCZOS4):\\r\\n h = int(round(target_width * image.shape[0] / image.shape[1]))\\r\\n return cv2.resize(image, (target_width, h), interpolation=method)\",\n \"def resize(img,width):\\n \\n wpercent = float(width / float(img.size[0]))\\n hsize = int((float(img.size[1])*float(wpercent)))\\n img = img.resize((width ,hsize), Image.ANTIALIAS)\\n\\n return img\",\n \"def resize(img,width):\\n \\n wpercent = float(width / float(img.size[0]))\\n hsize = int((float(img.size[1])*float(wpercent)))\\n img = img.resize((width ,hsize), Image.ANTIALIAS)\\n\\n return img\",\n \"def Rescale(self):\\r\\n picWidth,picHeight = self.oldSize = self.GetSizeTuple()\\r\\n bitmap = self.scaled = self.bitmap\\r\\n if not bitmap: return\\r\\n imgWidth,imgHeight = bitmap.GetWidth(),bitmap.GetHeight()\\r\\n if self.scaling == 2 or (self.scaling == 1 and (imgWidth > picWidth or imgHeight > picHeight)):\\r\\n image = bitmap.ConvertToImage()\\r\\n factor = min(1.0*picWidth/imgWidth,1.0*picHeight/imgHeight)\\r\\n newWidth,newHeight = int(factor*imgWidth),int(factor*imgHeight)\\r\\n self.scaled = image.Scale(newWidth,newHeight).ConvertToBitmap()\\r\\n #self.scaled = image.Scale(newWidth,newHeight,wx.IMAGE_QUALITY_HIGH ).ConvertToBitmap()\\r\",\n \"def FlyResize( image, log_mess, nimages, method = Image.ANTIALIAS ):\\n oldw, oldh = image.size\\n resl = [8, 10, 14, 16, 20, 22, 24, 32, 40, 48, 64, 96, 128, 256]\\n \\n if oldw > 256 or oldh > 256:\\n newsiz = min(resl, key = lambda x:abs(x - max(oldw, oldh)))\\n image.thumbnail((newsiz, newsiz), method)\\n neww, newh = image.size\\n log_mess += ' and new size scaled = %s x %s' %(neww, newh)\\n elif nimages > 1:\\n log_mess += ' and size = %s x %s' %(oldw, oldh)\\n \\n return oldw, oldh, image, log_mess\",\n \"def __resize_image(self, img):\\n return cv2.resize(img, self.g.img_size, \\n interpolation = cv2.INTER_CUBIC)\",\n \"def reshape(input):\\n\\n input = input / 255\\n input = trans.resize(input, (args.size, args.size))\\n input = np.reshape(input, input.shape + (1,))\\n input = np.reshape(input, (1,) + input.shape)\\n return input\",\n \"def process_image(image_path):\\n\\n # open the image\\n image = Image.open(image_path)\\n \\n # print(\\\"Original Image size: \\\", image.size)\\n \\n # first resize the images where the shortest side is 256 px\\n width, height = image.size\\n size = 256, 256\\n \\n newwidth, newheight = None, None\\n \\n # if the height is the shorter side\\n if height < width:\\n # find ratio between larger and smaller side\\n ratio = float(width) / float(height)\\n # resize smaller side to 256\\n newheight = 256\\n # resize larger side to 256 * ratio\\n newwidth = int(floor(ratio * size[0])) \\n # else, the width is the shorter side\\n else:\\n # find ratio between larger and smaller side\\n ratio = float(height)/float(width)\\n # resize smaller side to 256\\n newwidth = 256\\n # resize larger side to 256 * ratio\\n newheight = int(floor(ratio * size[1]))\\n \\n \\n # print(\\\"W: {}, H: {}\\\".format(newwidth, newheight))\\n \\n # resize the image\\n image = image.resize((newwidth, newheight), Image.ANTIALIAS)\\n\\n # print(\\\"Resized Image (keep aspect ratio): \\\", image.size)\\n \\n # perform center crop\\n # https://stackoverflow.com/questions/16646183/crop-an-image-in-the-centre-using-pil\\n width, height = image.size # Get dimensions\\n new_height, new_width = 224, 224\\n \\n left = (width - new_width)/2\\n top = (height - new_height)/2\\n right = (width + new_width)/2\\n bottom = (height + new_height)/2\\n\\n image = image.crop((left, top, right, bottom))\\n # print(\\\"cropped image size: \\\", image.size)\\n \\n # convert encoded color channels and convert to floats (divide by 255)\\n np_image = np.array(image) / 255\\n # print(np_image)\\n \\n # normalize\\n mean = [0.485, 0.456, 0.406]\\n std = [0.229, 0.224, 0.225]\\n np_image = (np_image - mean) / std\\n \\n # finally, transpose\\n # print(\\\"shape 1: \\\", np_image.shape)\\n np_image = np_image.transpose((2, 0, 1))\\n # print(\\\"transposed shape: \\\", np_image.shape)\\n \\n # Originally, I was returning a numpy array, as I thought these were the instructions, but\\n # when trying to test, it would not work. \\n # Found solution at: https://knowledge.udacity.com/questions/29173\\n # We have to convert to a tensor before we return it\\n return torch.Tensor(np_image)\",\n \"def transform_image(img, new_shape):\\n img = img[0:720, 0:720]\\n img = cv2.resize(img, (new_shape, new_shape)) / 255\\n img = np.expand_dims(img, axis=0) # 3D to 4D\\n return img\",\n \"def _image_decode_resize_normalized(image_tensor,height, weight, is_normalized=True):\\n image_tensor = tf.image.convert_image_dtype(image_tensor, dtype=tf.float32)\\n image_tensor = tf.image.resize_images(image_tensor, [height, weight])\\n if is_normalized:\\n image_tensor /= 255\\n return image_tensor\",\n \"def normalize_image(image, img_size):\\n res = tf.image.resize_image_with_crop_or_pad(image, target_height=img_size, target_width=img_size)\\n res = (tf.to_float(res) - 127.5) / 127.5\\n res = tf.reshape(res, (img_size, img_size, 1))\\n res.shape.assert_is_compatible_with([img_size, img_size, 1])\\n return res\",\n \"def pixelate(image, n_w, n_h):\\n image = image.resize((n_w, n_h), Image.ANTIALIAS)\\n return image\",\n \"def resize(im, new_size, preserve_aspect_ratio=True, prefilter=True):\\n factors = [new_size[i] / im.shape[i] for i in range(2)]\\n\\n #assert factors[0] == factors[1], \\\"Must have same factor for now\\\"\\n f = factors[0] \\n \\n if f < 1:\\n im2 = pyramid_reduce(im, downscale=1/f)\\n elif f > 1:\\n im2 = pyramid_expand(im, upscale=f)\\n else:\\n im2 = im\\n\\n assert im2.shape[:2] == tuple(new_size), \\\"{0} != {1} (original size: {2})\\\".format(im2.shape, new_size, im.shape)\\n \\n return im2\",\n \"def normalise(image):\",\n \"def obscure_image(image):\\n size = image.size\\n pixel_size = 9\\n if size[0] < 9 or size[1] < 9:\\n return image\\n image_f = image.filter(ImageFilter.MaxFilter)\\n image_s = image_f.resize((size[0] / pixel_size, size[1] / pixel_size), Image.NEAREST)\\n image_l = image_s.resize((size[0], size[1]), Image.NEAREST)\\n\\n return image_l\",\n \"def __resize_512p(input_data):\\n rate = 1\\n test_size=512\\n if input_data['img'].shape[0] > input_data['img'].shape[1]:\\n if True: # input_data['img'].shape[1] < 512:\\n rate = test_size / input_data['img'].shape[1]\\n seq = iaa.Sequential([\\n iaa.Scale({'height': \\\"keep-aspect-ratio\\\", 'width': test_size}, 'cubic')\\n ])\\n input_data['img'] = seq.augment_image(input_data['img'])\\n else:\\n if True: # input_data['img'].shape[0] < 512:\\n rate = test_size / input_data['img'].shape[0]\\n seq = iaa.Sequential([\\n iaa.Scale({'height': test_size, 'width': \\\"keep-aspect-ratio\\\"}, 'cubic')\\n ])\\n input_data['img'] = seq.augment_image(input_data['img'])\\n\\n if DataAugmentor._is_synthtext(input_data):\\n input_data['contour'] = [[np.cast['int32'](contour * rate) for contour in contours] for contours in\\n input_data['contour']]\\n else:\\n input_data['contour'] = [np.cast['int32'](contour * rate) for contour in input_data['contour']]\\n input_data['center_point'] = [(np.cast['int32'](point[0] * rate),\\n np.cast['int32'](point[1] * rate)) for point in input_data['center_point']]\\n return input_data\",\n \"def preprocess(path, img_w, img_h):\\n #print(path)\\n img = cv2.imread(path)\\n #print(img.shape)\\n #resizing the image to particular size (64, 128, 3)\\n img = fix_size(img, img_w, img_h)\\n #print(img.shape)\\n \\n #assigining values less than zero to zer0 and greater than zero to 1\\n img = np.clip(img, 0, 255)\\n\\n #changing the interger to more useful and complex integer\\n img = np.uint8(img)\\n\\n #convert an image to one color space to another\\n img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)\\n \\n #chaging the values datatype to float\\n img = img.astype(np.float32)\\n\\n #normalization\\n img /= 255\\n return img\",\n \"def resizeImg(img, maxXSize=720):\\r\\n if img.size[1] > maxXSize:\\r\\n downRat = maxXSize / img.size[1]\\r\\n outImg = img.resize((int(img.size[0] * downRat),maxXSize))\\r\\n else:\\r\\n outImg = img\\r\\n return outImg\",\n \"def _preprocess_image(self, image):\\n img = tf.convert_to_tensor(image)\\n # img = tf.io.decode_image(img, channels=3)\\n img = tf.image.convert_image_dtype(img, tf.uint8)\\n\\n resized_img = tf.image.resize(img, (self._input_height, self._input_width))\\n resized_img = resized_img[tf.newaxis, :]\\n return resized_img\",\n \"def resizeImage(image, newSize):\\n\\n # scale image\\n scaledImage = cv2.resize(image, newSize)\\n return scaledImage\",\n \"def resize_img(img, STANDARD_SIZE, verbose=False):\\n if verbose:\\n print \\\"changing size from %s to %s\\\" % (str(img.size), str(STANDARD_SIZE))\\n img = img.resize(STANDARD_SIZE)\\n return img\",\n \"def resize(im: Image) -> Image:\\n size_factor = random.uniform(*ImageOperations.config.get('resize_interval'))\\n return im.resize((\\n int(round(im.height * size_factor, 0)),\\n int(round(im.width * size_factor, 0))\\n ))\",\n \"def resize(img, size):\\n img = tf.expand_dims(img, 0)\\n return tf.image.resize_bilinear(img, size)[0,:,:,:]\",\n \"def process(self):\\n self.output_image = cv.resize(\\n self.input_image,\\n (self.WIDTH, self.HEIHGT),\\n )\\n return self.output_image\",\n \"def resize_from_img(img, imgname, size=(128, 128)):\\n try:\\n img = img.resize(size, Image.LANCZOS)\\n img.save(imgname)\\n except Exception as error:\\n logging.error(traceback.format_exc())\",\n \"def fix_resolution(image, side=128):\\n f = 128 / np.max(image.shape)\\n \\n fixed_image = cv2.resize(image, None, fx=f, fy=f, interpolation=cv2.INTER_NEAREST)\\n \\n result_image = np.zeros((side, side))\\n \\n h, l = fixed_image.shape[:2]\\n result_image[:h,:l] = fixed_image\\n \\n return result_image\",\n \"def preprocess(img: 'np.ndarray') -> 'np.ndarray':\\n return cv2.resize(img, (45, 45), interpolation=cv2.INTER_AREA)[:,:,:3]\",\n \"def resize(img, min_size=512):\\n width, height, _ = tf.unstack(tf.shape(img), num=3)\\n if height < width:\\n new_height = min_size\\n new_width = int(width * new_height / height)\\n else:\\n new_width = min_size\\n new_height = int(height * new_width / width)\\n\\n img = tf.image.resize(img, size=(new_width, new_height))\\n return img\",\n \"def resizeImages(img_path,size=(50,50)):\\n image = cv2.imread(img_path)\\n resized = cv2.resize(image, size, interpolation=cv2.INTER_CUBIC)\\n img=np.array([resized.flatten()])\\n #print('resized image')\\n return img\",\n \"def scale_image(img, factor=1):\\n\\treturn cv2.resize(img,(int(img.shape[1]*factor), int(img.shape[0]*factor)))\",\n \"def upscale(x, n):\\n if n == 1:\\n return x\\n x_shape = tf.shape(x)\\n height, width = x_shape[1], x_shape[2]\\n return tf.image.resize_nearest_neighbor(x, [n * height, n * width])\\n # return tf.batch_to_space(tf.tile(x, [n**2, 1, 1, 1]), [[0, 0], [0, 0]], n)\",\n \"def img_resize(img, img_height):\\n\\n\\timg_width = int(img_height*img.shape[1]/img.shape[0])\\n\\n\\timg_pil = Image.fromarray(img) # convert array back to image\\n\\n\\timg_pil_resize = img_pil.resize((img_width, img_height), Image.LANCZOS) # resize\\n\\n\\treturn np.array(img_pil_resize)\",\n \"def process_image(self, image):\\n min_ = np.min(image.size)\\n max_ = np.max(image.size)\\n\\n # Find dimension of the longest side if the shortest side is resized to\\n # 256 pixels.\\n dimension = 256 * max_ / min_\\n\\n # Resize to dimension x dimension max resolution and preserve the\\n # aspect ratio.\\n image.thumbnail((dimension, dimension))\\n\\n crop_dim = 224 # crop dimension 224 x 224 pixels\\n # Find center crop coordinates\\n width, height = image.size\\n left = (width - crop_dim) / 2\\n top = (height - crop_dim) / 2\\n right = (width + crop_dim) / 2\\n bottom = (height + crop_dim) / 2\\n\\n np_image = np.array(image.crop((left, top, right, bottom))) / 255\\n\\n means = np.array([0.485, 0.456, 0.406])\\n std_devs = np.array([0.229, 0.224, 0.225])\\n\\n np_image = (np_image - means) / std_devs\\n np_image = np_image.transpose((2, 0, 1))\\n\\n return np_image\",\n \"def scale_image(img, factor=1):\\n return cv2.resize(img, (int(img.shape[1] * factor), int(img.shape[0] * factor)))\",\n \"def imresize(im,sz):\\n pil_im = Image.fromarray(uint8(im))\\n return np.array(pil_im.resize(sz))\",\n \"def preprocess_image(self, image_path, input_size):\\n img = tf.io.read_file(image_path)\\n img = tf.io.decode_image(img, channels=3)\\n img = tf.image.convert_image_dtype(img, tf.uint8)\\n resized_img = tf.image.resize(img, input_size)\\n resized_img = resized_img[tf.newaxis, :]\\n return resized_img\",\n \"def preprocess(img):\\r\\n\\r\\n sorted = np.sort(img, axis=None)\\r\\n min = sorted[int(removeLower*sorted.size)]\\r\\n max = sorted[int((1.0-removeUpper)*sorted.size)]\\r\\n\\r\\n size = int(cropsize + np.random.rand()*(height-cropsize))\\r\\n topLeft_x = int(np.random.rand()*(height-size))\\r\\n topLeft_y = int(np.random.rand()*(height-size))\\r\\n\\r\\n crop = np.clip(img[topLeft_y:(topLeft_y+cropsize), topLeft_x:(topLeft_x+cropsize)], min, max)\\r\\n\\r\\n resized = cv2.resize(crop, (cropsize, cropsize), interpolation=cv2.INTER_AREA)\\r\\n\\r\\n resized[np.isnan(resized)] = 0.5\\r\\n resized[np.isinf(resized)] = 0.5\\r\\n\\r\\n return scale0to1(flip_rotate(resized))\",\n \"def preprocess(img):\\n dim=(227,227)\\n resize_width = 224\\n resize_height = 224\\n\\n img=cv2.resize(img,dim)\\n #img=cv2.normalize(img,None,alpha=0,beta=1,norm_type=cv2.NORM_MINMAX,dtype=cv2.CV_32F)\\n img = img.astype(numpy.float32)\\n\\n #Preprocess image changing the RGB pixel values to\\t the values the network needs\\n # to do this we subtract the mean and multiply the std for each channel (R, G and B)\\n # these mean and std values come from the stat.txt file that must accompany the\\n # graph file for the network.\\n \\n img[:,:,0] = (img[:,:,0] - gNetworkMean[0])\\n img[:,:,1] = (img[:,:,1] - gNetworkMean[1])\\n img[:,:,2] = (img[:,:,2] - gNetworkMean[2])\\n \\n\\n # Finally we return the values as Float16 rather than Float32 as that is what the network expects.\\n cv2.imshow(\\\"Frame\\\", img)\\n return img.astype('float16') #age_float_array.astype(numpy.float16)\",\n \"def resize_NN_image(tomo, training = False):\\r\\n\\tif training:\\r\\n\\t\\ttomo = np.delete(tomo,[0], axis = 2)\\r\\n\\t\\ttomo = np.concatenate((tomo,np.zeros((tomo.shape[0],1,tomo.shape[2]),dtype = np.float32)), axis=1)\\r\\n\\t\\ttomo = tomo[:,np.newaxis,:,:]\\r\\n\\r\\n\\telse:\\r\\n\\t\\ttomo = tomo[:,0,:,:]\\r\\n\\t\\ttomo = np.delete(tomo,[tomo.shape[1]-1], axis = 1)\\r\\n\\t\\ttomo = np.concatenate((np.zeros((tomo.shape[0],tomo.shape[1],1),dtype = np.float32),tomo), axis =2)\\r\\n\\r\\n\\treturn tomo\",\n \"def image_resize(image: Image, size: (int, int)) -> array:\\n image = Image.fromarray(uint8(image))\\n\\n return array(image.resize(size))\",\n \"def resize_image(img, image_width=128):\\n # compute scale to resize the image\\n scale = image_width / img.shape[1]\\n\\n # resize the image with the computed scale\\n img = cv2.resize(img, None, fx=scale, fy=scale)\\n\\n return img\",\n \"def resize_image(img, width, height):\\n\\n return cv2.resize(img, (width, height))\",\n \"def fix_resolution(image, side=128):\\n f = side / np.max(image.shape)\\n \\n fixed_image = cv2.resize(image, None, fx=f, fy=f, interpolation=cv2.INTER_NEAREST)\\n \\n result_image = np.zeros((side, side) + image.shape[2:])\\n \\n h, l = fixed_image.shape[:2]\\n result_image[:h,:l] = fixed_image\\n \\n return result_image\",\n \"def normalise(dataset):\\n # Scale images to the [0, 1] range\\n dataset = dataset.astype(\\\"float32\\\") / 255\\n # Make sure images have shape (28, 28, 1)\\n return np.expand_dims(dataset, -1)\",\n \"def run(self, image):\\n width, height = image.size\\n resize_ratio = 1.0 * self.INPUT_SIZE / max(width, height)\\n target_size = (int(resize_ratio * width), int(resize_ratio * height))\\n resized_image = image.convert('RGB').resize(target_size, Image.ANTIALIAS)\\n batch_seg_map = self.sess.run(\\n self.OUTPUT_TENSOR_NAME,\\n feed_dict={self.INPUT_TENSOR_NAME: [np.asarray(resized_image)]})\\n seg_map = batch_seg_map[0]\\n return resized_image, seg_map\",\n \"def preprocess(img, transformation = transforms.ToTensor(), to_size = (200,200)):\\n if isinstance(img, np.ndarray):\\n img = Image.fromarray(img)\\n img.thumbnail(to_size)\\n img = np.array(img)\\n diff_x = np.ceil((to_size[0] - img.shape[0])/2).astype(int)\\n diff_y = np.ceil((to_size[1] - img.shape[1])/2).astype(int)\\n padded = np.pad(img/255.0 , pad_width= ((diff_x,diff_x),(diff_y,diff_y),(0,0)))\\n return transformation(padded[0:to_size[0], 0:to_size[1]])\",\n \"def resize(img, height=800):\\n ratio = height / img.shape[0]\\n return cv2.resize(img, (int(ratio * img.shape[1]), height))\",\n \"def resize(img, size, method=\\\"bilinear\\\"):\\n if method == Image.BILINEAR or method == \\\"bilinear\\\":\\n method = cv2.INTER_AREA\\n elif method == Image.CUBIC or method == \\\"cubic\\\":\\n method = cv2.INTER_CUBIC\\n elif method == Image.NEAREST or method == \\\"nearest\\\":\\n method = cv2.INTER_NEAREST\\n else:\\n raise RuntimeError(\\\"wrong method {}\\\".format(method))\\n if not isinstance(size, (tuple, list)):\\n size = (size, size)\\n if isinstance(size ,list):\\n size = tuple(size)\\n im = np.array(img)\\n im = cv2.resize(im, size, interpolation=method)\\n return Image.fromarray(im)\",\n \"def preprocess_image(image, height, width):\\n image = np.uint8(\\n resize(rgb2gray(image), [height, width], mode='constant')*255)\\n image = np.reshape(image, [height, width, 1])/255.\\n return image\",\n \"def image_preprocess(image: str):\\n if type(image) == str:\\n image = cv2.imread(image)\\n \\n image_cropped = image[25:375, :]\\n \\n image = cv2.resize(image_cropped, IMG_SIZE, interpolation = cv2.INTER_AREA)\\n \\n return image\",\n \"def change_resolution(img):\\n scale_factor = np.random.choice(list(range(0, 6, 2)))\\n if scale_factor == 0:\\n return img\\n downsample = nn.AvgPool2d(scale_factor)\\n upsample = nn.UpsamplingNearest2d(scale_factor=scale_factor)\\n new_res_img = upsample(downsample(img.unsqueeze(dim=1))).squeeze()\\n return new_res_img\",\n \"def prepare_image(im):\\n width, height = im.size\\n if width > 256 or height > 256:\\n factor = 256.0 / max(width, height)\\n im = im.resize((int(factor * width), int(factor * height)),\\n Image.BILINEAR)\\n return im\",\n \"def reshape_normalise(img):\\n\\t# The image shape is expected to match the input of VGG19\\n\\timg = np.resize(img, (1, CONFIG.IMAGE_HEIGHT, CONFIG.IMAGE_WIDTH, CONFIG.COLOR_CHANNELS)).astype('float32')\\n\\timg -= CONFIG.MEAN_PIXEL\\n\\treturn img\",\n \"def run(self, image):\\n width, height = image.size\\n resize_ratio = 1.0 * self.INPUT_SIZE / max(width, height)\\n target_size = (int(resize_ratio * width), int(resize_ratio * height))\\n resized_image = image.convert('RGB').resize(\\n target_size, Image.ANTIALIAS)\\n batch_seg_map = self.sess.run(\\n self.OUTPUT_TENSOR_NAME,\\n feed_dict={self.INPUT_TENSOR_NAME: [np.asarray(resized_image)]})\\n seg_map = batch_seg_map[0]\\n return resized_image, seg_map\",\n \"def resize_image(self, width=200):\\n self.new_width = width\\n aspect_ratio = self.original_height/float(self.original_width)\\n self.new_height = int(aspect_ratio * self.new_width)\\n\\n resized_image = self.image.resize((self.new_width, self.new_height), Image.BILINEAR)\\n return resized_image\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.71284246","0.6869551","0.6833134","0.6727817","0.6690876","0.6602364","0.6560142","0.6558303","0.6550661","0.65303195","0.65273684","0.64954686","0.649254","0.6489743","0.6474268","0.6472914","0.6454352","0.644202","0.64024377","0.6396688","0.6371476","0.6369491","0.6365811","0.6358139","0.6350187","0.6338545","0.6332448","0.63323784","0.6323828","0.63135576","0.63120335","0.6307669","0.6303344","0.62997985","0.6286178","0.62808496","0.6269965","0.6263314","0.6263313","0.6262807","0.6262795","0.6246555","0.62443894","0.6238282","0.6234297","0.62211215","0.6191222","0.6188942","0.6188942","0.6187374","0.61779684","0.6173398","0.6151969","0.6133736","0.61305606","0.61242586","0.61140114","0.61073214","0.6106113","0.60981774","0.6081785","0.607345","0.607227","0.6069798","0.6065993","0.60621965","0.60592514","0.6048423","0.6043329","0.60400826","0.6035583","0.60312504","0.60273004","0.6022086","0.6012175","0.6010765","0.6008757","0.60047495","0.60026586","0.599945","0.59937805","0.59926945","0.59891146","0.59887105","0.5985117","0.5975848","0.5957044","0.59500676","0.5949501","0.5944609","0.59381616","0.5937032","0.593686","0.5932936","0.59286773","0.5927125","0.59195244","0.59190375","0.5917013","0.59165245","0.5906546"],"string":"[\n \"0.71284246\",\n \"0.6869551\",\n \"0.6833134\",\n \"0.6727817\",\n \"0.6690876\",\n \"0.6602364\",\n \"0.6560142\",\n \"0.6558303\",\n \"0.6550661\",\n \"0.65303195\",\n \"0.65273684\",\n \"0.64954686\",\n \"0.649254\",\n \"0.6489743\",\n \"0.6474268\",\n \"0.6472914\",\n \"0.6454352\",\n \"0.644202\",\n \"0.64024377\",\n \"0.6396688\",\n \"0.6371476\",\n \"0.6369491\",\n \"0.6365811\",\n \"0.6358139\",\n \"0.6350187\",\n \"0.6338545\",\n \"0.6332448\",\n \"0.63323784\",\n \"0.6323828\",\n \"0.63135576\",\n \"0.63120335\",\n \"0.6307669\",\n \"0.6303344\",\n \"0.62997985\",\n \"0.6286178\",\n \"0.62808496\",\n \"0.6269965\",\n \"0.6263314\",\n \"0.6263313\",\n \"0.6262807\",\n \"0.6262795\",\n \"0.6246555\",\n \"0.62443894\",\n \"0.6238282\",\n \"0.6234297\",\n \"0.62211215\",\n \"0.6191222\",\n \"0.6188942\",\n \"0.6188942\",\n \"0.6187374\",\n \"0.61779684\",\n \"0.6173398\",\n \"0.6151969\",\n \"0.6133736\",\n \"0.61305606\",\n \"0.61242586\",\n \"0.61140114\",\n \"0.61073214\",\n \"0.6106113\",\n \"0.60981774\",\n \"0.6081785\",\n \"0.607345\",\n \"0.607227\",\n \"0.6069798\",\n \"0.6065993\",\n \"0.60621965\",\n \"0.60592514\",\n \"0.6048423\",\n \"0.6043329\",\n \"0.60400826\",\n \"0.6035583\",\n \"0.60312504\",\n \"0.60273004\",\n \"0.6022086\",\n \"0.6012175\",\n \"0.6010765\",\n \"0.6008757\",\n \"0.60047495\",\n \"0.60026586\",\n \"0.599945\",\n \"0.59937805\",\n \"0.59926945\",\n \"0.59891146\",\n \"0.59887105\",\n \"0.5985117\",\n \"0.5975848\",\n \"0.5957044\",\n \"0.59500676\",\n \"0.5949501\",\n \"0.5944609\",\n \"0.59381616\",\n \"0.5937032\",\n \"0.593686\",\n \"0.5932936\",\n \"0.59286773\",\n \"0.5927125\",\n \"0.59195244\",\n \"0.59190375\",\n \"0.5917013\",\n \"0.59165245\",\n \"0.5906546\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":86786,"cells":{"query":{"kind":"string","value":"Load user submission to staging area Loads the testing files into the tmpdir Will create build folder and cd into that for compiling and marking Calls the compile and marking functions. If the program does not compile, the submission receives a zero and is not passed forward to marking."},"document":{"kind":"string","value":"def loadTmpDir(submissiondir, assndir, tmpdir, outputdir):\n\n # Deals with the joys of connex BS\n # Copy and open grade file\n in_gradefname = os.path.join(submissiondir, 'grades.csv')\n out_gradefname = os.path.join(outputdir, 'grades.csv')\n if not os.path.exists(in_gradefname):\n print(\"grade.csv doesn't exist\", \"Re-download submissions from Connex with grade.csv included\", sep=\"\\n\", file=sys.stderr)\n exit(1)\n with open(in_gradefname, 'r') as gradeFile:\n gradeReader = csv.reader(gradeFile, delimiter=',')\n l = [row for row in gradeReader]\n header = l[:3]\n order = [stud[1] for stud in l[3:]]\n details = {stud[1]: stud for stud in l[3:]}\n submissions = {username_expr.search(p).groups()[0]: p for p in os.listdir(submissiondir) if username_expr.search(p)}\n assert len(details) == len(submissions) # If these don't match, panic\n cwd = os.getcwd() # Store this so we can go back to it later\n # And here we go with actually driving this stupid boat\n for idx, f in enumerate(details):\n submission_path = os.path.join(submissiondir, submissions[f], \"Submission attachment(s)\")\n output_path = os.path.join(outputdir, submissions[f])\n # If it has already been marked, show the marks and copy the comments file\n if details[f][-1]:\n if os.path.isfile(os.path.join(submissiondir, submissions[f], 'comments.txt')):\n shutil.copy(os.path.join(submissiondir, submissions[f], 'comments.txt'), tmpdir)\n resp = input(f\"{f}[{details[f][-1]}] already marked: Remark? [y/N]:\")\n if resp.lower() != 'y':\n # Copy comment file\n if not os.path.isfile(os.path.abspath(\"./comments.txt\")):\n with open(os.path.abspath(\"./comments.txt\"), 'w'):\n pass # Just create it and leave\n if not os.path.isdir(output_path):\n os.mkdir(output_path)\n shutil.copy(os.path.abspath(\"./comments.txt\"),\n os.path.join(output_path, \"comments.txt\"))\n continue\n\n copyContents(submission_path, tmpdir)\n copyContents(assndir, tmpdir) # Will overwrite anything already there\n if not os.path.isdir(os.path.join(tmpdir, 'build')):\n os.mkdir(os.path.join(tmpdir, 'build'))\n os.chdir(os.path.join(tmpdir, 'build'))\n compiled, compile_msg = cpp_compile() # compile submission\n\n if compiled:\n score, output, correct, total = mark()\n else:\n score = 0\n output = \"Failed to compile\"\n correct = 0\n total = 0\n\n # Okay, back to the workdir for comments and shipping the mark\n os.chdir(tmpdir)\n options = [\"Keep\",\n \"Comment\",\n \"Replace Grade\",\n \"Show Compiler Output\",\n \"Show Test Output\",\n \"Show Comment\",\n \"Append compiler message\",\n \"Append Test Output\",\n \"View Submission\"]\n\n while True:\n print(f\"\"\"Marking {submissions[f]}:\nStudent {idx+1} / {len(details)}\nMark: {score} ({correct} / {total})\"\"\")\n cidx, cmd = selectItems(options)\n if cidx == 0:\n break\n elif cidx == 1: # Comment on file\n editFile(os.path.abspath(\"./comments.txt\"))\n continue\n elif cidx == 2: # Change grade\n score = round(float(input(\"New Grade: \")), 2)\n continue\n elif cidx == 3:\n viewData(compile_msg)\n elif cidx == 4:\n viewData(output)\n elif cidx == 5:\n viewFile(os.path.abspath(\"./comments.txt\"))\n elif cidx == 6:\n appendToFile(os.path.abspath(\"./comments.txt\"),\n '\\n'.join([\"\\n<pre>\",\"=== [Compiler Output] =========\",\n compile_msg, \"</pre>\"]))\n elif cidx == 7:\n appendToFile(os.path.abspath(\"./comments.txt\"),\n '\\n'.join([\"\\n<pre>\", \"=== [Test Output] =============\",\n output, \"</pre>\"]) )\n elif cidx == 8:\n submittedFiles = getFiles(submission_path)\n if len(submittedFiles) > 1:\n _, fname = selectItems(submittedFiles)\n else:\n fname = submittedFiles[0]\n viewFile(os.path.abspath(\"./\" + fname))\n else:\n print(cidx, cmd)\n # Once everything is hunky dory, put away their mark and move on\n details[f][-1] = score\n\n if not os.path.isfile(os.path.abspath(\"./comments.txt\")):\n with open(os.path.abspath(\"./comments.txt\"), 'w'):\n pass # Just create it and leave\n if not os.path.isdir(output_path):\n os.mkdir(output_path)\n shutil.copy(os.path.abspath(\"./comments.txt\"),\n os.path.join(output_path, \"comments.txt\"))\n removeFiles(os.path.join(tmpdir, \"build\"), skipdirs=False)\n shutil.rmtree(os.path.join(tmpdir, \"tests\"))\n removeFiles(tmpdir, skipdirs=False)\n os.chdir(cwd)\n # Write grades to grade file\n with open(out_gradefname, \"w\") as outputgrades:\n csv_writer = csv.writer(outputgrades, dialect='unix')\n [csv_writer.writerow(el) for el in header]\n [csv_writer.writerow(details[stud]) for stud in order]\n\n return details"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def main():\n # Specify path\n training_filepath = 'data/training.csv'\n testing_filepath = 'data/public_test_features.csv'\n\n # Check whether the specified path exists or not\n isExist = os.path.exists(training_filepath)\n if(isExist):\n print('Reading from ' + training_filepath)\n else:\n print('Training file not found in the app path.')\n exit()\n preprocess_file(training_filepath, 'data/clean_training1.csv', True)\n # Check whether the specified path exists or not\n isExist = os.path.exists(testing_filepath)\n if(isExist):\n print('Reading from ' + testing_filepath)\n else:\n print('Testing file not found in the app path.')\n exit()\n preprocess_file(testing_filepath,'data/clean_testing1.csv', False)","def test_compile_local_files(self, tester_login):\n filenames = os.listdir(COMPILE_TESTER_DIR)\n test_files = [os.path.join(COMPILE_TESTER_DIR, name) for name in filenames]\n projects = [self.upload_project('#uploadFolderZip form', fname,\n os.path.splitext(os.path.basename(fname))[0]) for fname\n in test_files]\n flag = True\n while flag:\n uploaded_sketches = self.get_elements(By.CSS_SELECTOR, '#project_list > li')\n if len(uploaded_sketches) >= len(projects):\n flag = False\n break\n time.sleep(1)\n self.compile_all_sketches(COMPILE_TESTER_STAGING_URL,\n '#user_projects tbody a',\n iframe=False,\n compile_type='sketch',\n create_report=True, logfile=COMPILE_TESTER_LOGFILE_STAGING)\n for name in projects:\n self.delete_project(name.replace(\" \", \"-\"))","def setup_file_data(cls, sess, submission_id):\n ready = JOB_STATUS_DICT['ready']\n csv_validation = JOB_TYPE_DICT['csv_record_validation']\n\n job = FileTests.insert_job(\n sess,\n filetype=FILE_TYPE_DICT['award'],\n status=ready,\n type_id=csv_validation,\n submission=submission_id\n )\n # everything is fine\n FileTests.insert_file(sess, job.job_id, FILE_STATUS_DICT['complete'])\n\n job = FileTests.insert_job(\n sess,\n filetype=FILE_TYPE_DICT['award_financial'],\n status=ready,\n type_id=csv_validation,\n submission=submission_id\n )\n # bad header\n FileTests.insert_file(sess, job.job_id, FILE_STATUS_DICT['unknown_error'])\n\n job = FileTests.insert_job(\n sess,\n filetype=FILE_TYPE_DICT['appropriations'],\n status=ready,\n type_id=csv_validation,\n submission=submission_id\n )\n # validation level errors\n FileTests.insert_file(sess, job.job_id, FILE_STATUS_DICT['complete'])\n cls.insert_row_level_error(sess, job.job_id)","def submit():\n subtime = datetime.datetime.now()\n args = parse_args()\n \n # get the course's configuration\n with open(args.config) as cfgfile:\n cfg = json.load(cfgfile)\n \n # Confirm the correct directory\n wdir = os.getcwd()\n resp = input(\"The current directory is:\\n\\n\\t\" + wdir \n + \"\\n\\nIs this the directory you want to submit? (y/n): \")\n if resp not in [\"y\", \"Y\", \"yes\", \"Yes\", \"YES\"]:\n return\n \n # Get the assignment the student is submitting\n resp = \"\"\n while resp not in cfg[\"assignments\"]:\n resp = input(\"\\nSelect an assignment from the list:\\n\\n\\t\" \n + \"\\n\\t\".join(textwrap.wrap(\", \".join(cfg[\"assignments\"])))\n + \"\\n\\nAssignment: \")\n assignment = resp\n\n # Get the section to which the user wants to submit\n resp = \"\"\n desc = \"\\n\\t\".join([\"{:3}: {}\".format(key, cfg[\"sections\"][key][\"desc\"]) \n for key in cfg[\"sections\"].keys()])\n\n while resp not in cfg[\"sections\"].keys():\n resp = input(\"\\nSelect a section number from the list:\\n\\n\\t\" \n + desc + \"\\n\\nSection: \")\n section = cfg[\"sections\"][resp]\n\n # Collect the username and list of files to tar\n username = os.environ.get(\"USER\")\n files = glob.glob(\"*\")\n\n # Create the submission directory and copy in all the files\n submitdir = \"{}_{}_{}\".format(assignment, cfg[\"course\"], username)\n os.mkdir(submitdir)\n for f in files:\n shutil.copy(f, os.path.join(submitdir, f))\n\n # Create the archive, then delete the submission directory\n tarname = \"{}.{}.{}.{}.tgz\".format(\n assignment, cfg[\"course\"], username, int(time.time())\n )\n with tarfile.open(tarname, mode=\"w:gz\") as tar:\n tar.add(submitdir)\n shutil.rmtree(submitdir)\n\n # Build the email addresses\n domain = cfg[\"domain\"]\n faddr = \"{}@{}\".format(username, domain)\n taddr = \"{}@{}\".format(section[\"ta\"], domain)\n \n if \"cc\" in section:\n ccaddrs = [\"{}@{}\".format(netid, domain) for netid in section[\"cc\"]]\n else:\n ccaddrs = []\n\n if \"bcc\" in section:\n bccaddrs = [\"{}@{}\".format(netid, domain) for netid in section[\"bcc\"]]\n else:\n bccaddrs = []\n\n # Build the email headers\n msg = email.mime.multipart.MIMEMultipart()\n msg[\"From\"] = faddr\n msg[\"To\"] = taddr\n msg[\"Cc\"] = \", \".join(ccaddrs)\n msg[\"Subject\"] = \"{} submission for student {} in {}\".format(\n assignment, username, cfg[\"course\"]\n )\n\n # Build the attachment and compute a check sum\n attachment = email.mime.base.MIMEBase('application', 'octet-stream')\n with open(tarname, 'rb') as f:\n contents = f.read()\n chksum = hashlib.md5(contents).hexdigest()\n attachment.set_payload(contents)\n \n email.encoders.encode_base64(attachment)\n attachment.add_header(\"Content-Disposition\", \n \"attachment; filename={}\".format(tarname)\n )\n msg.attach(attachment)\n \n # Build and attach the message text\n msg.attach(email.mime.text.MIMEText(\n \"Submission from {}\\n\".format(username)\n + \"Course: {}\\n\".format(cfg[\"course\"])\n + \"Assignment: {}\\n\".format(assignment)\n + \"Time: {}\\n\".format(subtime.strftime(\"%m/%d/%Y %H:%M:%S\"))\n + \"MD5Sum: {}\\n\".format(chksum),\n \"plain\"))\n \n # Send the email\n server = smtplib.SMTP('localhost')\n server.sendmail(faddr, [taddr] + ccaddrs + bccaddrs, msg.as_string())\n server.quit()","def submit(user, user_file):\n user_job = '{\"localFile\" : \"userfile\", \"destFile\" : \"primes.py\"}'.replace(\n \"userfile\", user_file)\n run(['bash', 'submit.sh', user_file, user_job, user])","def test_upload(self):\n\n\n username,userpass = self.testdata.find_account_for('toolsubmitter')\n\n self.utils.account.login_as(username,userpass)\n\n self.contribtool.upload(TOOLNAME,TOOLFILEDATA,username,userpass)","def setup_file_generation_submission(cls, sess, submission_id=None):\n submission_id = cls.generation_submission_id if not submission_id else submission_id\n submission = sess.query(Submission).filter(Submission.submission_id == submission_id).one()\n\n # Create D1 jobs ready for generation route to be called\n cls.insert_job(\n sess,\n FILE_TYPE_DICT['award_procurement'],\n JOB_STATUS_DICT['ready'],\n JOB_TYPE_DICT['file_upload'],\n submission.submission_id\n )\n award_roc_val_job = cls.insert_job(\n sess,\n FILE_TYPE_DICT['award_procurement'],\n JOB_STATUS_DICT['waiting'],\n JOB_TYPE_DICT['csv_record_validation'],\n submission.submission_id\n )\n # Create E and F jobs ready for check route\n exec_comp_job = cls.insert_job(\n sess,\n FILE_TYPE_DICT['executive_compensation'],\n JOB_STATUS_DICT['finished'],\n JOB_TYPE_DICT['file_upload'],\n submission.submission_id\n )\n sub_award_job = cls.insert_job(\n sess,\n FILE_TYPE_DICT['sub_award'],\n JOB_STATUS_DICT['invalid'],\n JOB_TYPE_DICT['file_upload'],\n submission.submission_id\n )\n sub_award_job.error_message = \"File was invalid\"\n\n # Create D2 jobs\n cls.insert_job(\n sess,\n FILE_TYPE_DICT['award'],\n JOB_STATUS_DICT['finished'],\n JOB_TYPE_DICT['file_upload'],\n submission.submission_id\n )\n cls.insert_job(\n sess,\n FILE_TYPE_DICT['award'],\n JOB_STATUS_DICT['invalid'],\n JOB_TYPE_DICT['csv_record_validation'],\n submission.submission_id\n )\n # Create dependency\n exec_comp_dep = JobDependency(\n job_id=exec_comp_job.job_id,\n prerequisite_id=award_roc_val_job.job_id\n )\n sess.add(exec_comp_dep)\n sess.commit()","def setup(self, tmp_path):\n create_users_file(tmp_path)\n create_jobs_file(tmp_path)","def setUpClass(cls):\n super(FileTests, cls).setUpClass()\n # TODO: refactor into a pytest fixture\n\n with create_app().app_context():\n # get the submission test user\n sess = GlobalDB.db().session\n cls.session = sess\n submission_user = sess.query(User).filter(User.email == cls.test_users['admin_user']).one()\n cls.submission_user_id = submission_user.user_id\n\n other_user = sess.query(User).filter(User.email == cls.test_users['agency_user']).one()\n cls.other_user_id = other_user.user_id\n\n # setup submission/jobs data for test_check_status\n cls.status_check_submission_id = cls.insert_submission(sess, cls.submission_user_id, cgac_code=\"SYS\",\n start_date=\"10/2015\", end_date=\"12/2015\",\n is_quarter=True)\n\n cls.generation_submission_id = cls.insert_submission(sess, cls.submission_user_id, cgac_code=\"SYS\",\n start_date=\"07/2015\", end_date=\"09/2015\",\n is_quarter=True)\n\n cls.setup_file_generation_submission(sess)\n\n cls.jobIdDict = cls.setup_jobs_for_status_check(sess, cls.status_check_submission_id)\n\n # setup submission/jobs data for test_error_report\n cls.error_report_submission_id = cls.insert_submission(\n sess, cls.submission_user_id, cgac_code=\"SYS\", start_date=\"10/2015\", end_date=\"10/2015\")\n cls.setup_jobs_for_reports(sess, cls.error_report_submission_id)\n\n # setup file status data for test_metrics\n cls.test_metrics_submission_id = cls.insert_submission(\n sess, cls.submission_user_id, cgac_code=\"SYS\", start_date=\"08/2015\", end_date=\"08/2015\")\n cls.setup_file_data(sess, cls.test_metrics_submission_id)\n\n cls.row_error_submission_id = cls.insert_submission(sess, cls.submission_user_id, cgac_code=\"SYS\",\n start_date=\"10/2015\", end_date=\"12/2015\",\n is_quarter=True, number_of_errors=1)\n cls.setup_submission_with_error(sess, cls.row_error_submission_id)\n\n cls.test_delete_submission_id = cls.insert_submission(sess, cls.submission_user_id, cgac_code=\"SYS\",\n start_date=\"07/2015\", end_date=\"09/2015\",\n is_quarter=True)\n cls.setup_file_generation_submission(sess, submission_id=cls.test_delete_submission_id)\n\n cls.test_certified_submission_id = cls.insert_submission(sess, cls.submission_user_id, cgac_code=\"SYS\",\n start_date=\"07/2015\", end_date=\"09/2015\",\n is_quarter=True, number_of_errors=0,\n publish_status_id=2)\n\n cls.test_updated_submission_id = cls.insert_submission(sess, cls.submission_user_id, cgac_code=\"SYS\",\n start_date=\"07/2016\", end_date=\"09/2016\",\n is_quarter=True, number_of_errors=0,\n publish_status_id=3)\n\n cls.test_uncertified_submission_id = cls.insert_submission(sess, cls.submission_user_id, cgac_code=\"SYS\",\n start_date=\"04/2015\", end_date=\"06/2015\",\n is_quarter=True, number_of_errors=0)\n\n cls.test_revalidate_submission_id = cls.insert_submission(sess, cls.submission_user_id, cgac_code=\"SYS\",\n start_date=\"10/2015\", end_date=\"12/2015\",\n is_quarter=True, number_of_errors=0)\n\n cls.test_monthly_submission_id = cls.insert_submission(sess, cls.submission_user_id, cgac_code=\"SYS\",\n start_date=\"10/2015\", end_date=\"12/2015\",\n is_quarter=False, number_of_errors=0)\n\n cls.test_fabs_submission_id = cls.insert_submission(sess, cls.submission_user_id, cgac_code=\"SYS\",\n start_date=\"10/2015\", end_date=\"12/2015\",\n is_quarter=False, number_of_errors=0,\n is_fabs=True)\n\n cls.test_certify_history_id = cls.setup_certification_history(sess)","def prep(user_data):\n print(\"Prep...\\n\")\n\n # Locate exam folder\n old_folder_name = user_data.folder_name\n exam_folder_located = os.path.isdir(old_folder_name)\n print(build_status(exam_folder_located,\n \"Localizando el directorio del examen\"))\n\n # Rename folder, create data and info files\n if exam_folder_located:\n # Collect user data\n user_data = ask_user_data(user_data)\n\n # Rename folder\n folder_name = user_data.folder_name\n if old_folder_name != folder_name:\n renamed = True\n\n try:\n os.rename(old_folder_name, folder_name)\n except OSError as e:\n renamed = False\n\n print(build_status(renamed,\n \"Directorio renombrado:\\n \"\n + old_folder_name + \"\\n ->\" + folder_name))\n\n create_data_file(user_data, DataFile)\n print(build_status(True, \"Datos de usuario guardados\"))\n\n create_info_file(user_data, os.path.join(folder_name, InfoFile))\n print(build_status(True, \"Creado archivo info\"))\n\n create_marks_file(user_data, os.path.join(folder_name, MarksFile))\n print(build_status(True, \"Creado archivo de notas\"))\n\n return","def grade_submission(ag_path, submission_path, quiet=False, debug=False):\n\n dp = tempfile.mkdtemp()\n\n args_list = ARGS_STARTER.copy()\n args_list.extend([\n \"-a\", ag_path,\n \"-o\", dp,\n submission_path,\n \"--no-logo\",\n ])\n\n if debug:\n args_list.append(\"--debug\")\n\n args = PARSER.parse_args(args_list)\n\n if quiet:\n f = open(os.devnull, \"w\")\n cm = redirect_stdout(f)\n else:\n cm = nullcontext()\n \n with cm:\n results = run_grader(**vars(args))\n\n if quiet:\n f.close()\n\n shutil.rmtree(dp)\n\n return results","def main():\n args = get_args()\n\n src_dir = args.input\n\n if os.path.exists(args.output):\n print(\"output directory already exists\")\n sys.exit(1)\n os.makedirs(args.output)\n copy_submission_dir(args.input, args.output, args.submitter)\n src_dir = args.output\n\n config = checker.Config(\n args.version,\n args.extra_model_benchmark_map)\n\n if not args.nodelete_empty_dirs:\n delete_empty_dirs(os.path.join(src_dir))\n\n os.chdir(src_dir)\n\n infer_scenario_results(args.submitter, args.noinfer_low_accuracy_results, config)\n\n return 0","def prepare_submit(self, mapping):\n self.dag_path = self.mk_path('%(mex_id)s.dag', mapping)\n self.create_file(self.dag_path,\n self.template['condor.dag_template'], mapping)\n\n self.conf_path = self.mk_path('%(mex_id)s.dag.config', mapping)\n self.create_file(self.conf_path,\n self.template['condor.dag_config_template'], mapping)\n\n self.submit_path = self.mk_path('%(mex_id)s.cmd', mapping)\n self.create_file(self.submit_path,\n self.template['condor.submit_template'], mapping)","def upload(self,toolname,data,username,userpass):\n\n msg = 'initial upload of source code'\n self.upload_code(toolname,data,username,userpass,msg)\n\n # navigate to the tool status page\n po = self.catalog.load_pageobject('ToolsStatusCreatedPage',toolname)\n po.goto_page()\n\n # on web page, mark project as uploaded\n po.flip_status_to_uploaded()\n\n self.__wait_for_tool_state(po,'Uploaded')","def newcode(path):\n global testers\n import json, testmaker\n print('newcode', (path,))\n\n subdir, pyfile, dst, afb, lfb, slug = ppath(path)\n \n if not pyfile or not subdir or not os.path.exists(subdir):\n print('no submission found in', subdir)\n os.unlink(path) # remove queue for absent file\n return\n\n if not slug in testers:\n print('no testers found for', subdir)\n with open(afb, 'w') as f:\n print('automated feedback not enabled for this assignment', file=f)\n # ¿use os.utimes to bypass feedback delay?\n\n # do not use os.unlink(path) because testers may be added later\n return\n \n # pypractice used create-in-tmp move-to-dest model to trigger vibe's\n # DirectoryWatcher's moved_to listneger because it had no close_write\n # listener. This is not needed in the current system because PHP can't\n # listen-and-push at all.\n \n result = testers[slug].report(pyfile)\n try:\n with open(afb, 'w') as f: json.dump({'stdout':result['feedback']}, f, default=lambda x:str(type(x)))\n except:\n with open(afb, 'w') as f: json.dump({'stdout':\"internal error generating automated feedback\"}, f)\n\n try:\n with open(lfb, 'w') as f:\n m = result['missed']\n if len(m) > 0:\n json.dump({'stdout':'Failed test cases:\\n-------------------------\\n' + '\\n-------------------------\\n'.join(m)}, f)\n else:\n json.dump({'stdout':'Passed all tests'},f)\n except:\n with open(afb, 'w') as f: json.dump({'stdout':\"internal error testing your code\"}, f)\n \n try:\n with open(dst, 'w') as f: json.dump(result, f, indent=2, default=lambda x:str(type(x)))\n except BaseException as ex:\n with open(dst, 'w') as f: json.dump({'correct':0,'error':testmaker.ex_msg(ex)}, f, indent=2)\n \n dst2 = os.path.join(os.path.dirname(os.path.dirname(dst)), os.path.basename(dst))\n if os.path.exists(dst) and not os.path.exists(dst2):\n os.link(dst, dst2)\n \n if os.path.exists(path): os.unlink(path) # remove queue now that grade finished\n return","def processFiles(self, testDataFiles, sourceDirectory, sourceFilename, outputFile, language, IncludeSourceInOutput, maxRunTime, interpreter, maxOutputLines, AutoGraderVersion):\n \n print (\"***Start***\")\n self.sourceDirectory = sourceDirectory\n #self.TopLevelFilesFound = []\n #self.subdirs = {} #dictionary of sbudirectories\n \n\n #delete the output file\n self._removeFile(outputFile)\n\n #create the html header. Use the name of the source directory as the header text.\n self._MakeHtmlHeader(outputFile, language, \"AutoGrader\", os.path.split(sourceDirectory)[-1])\n\n #--------- C++ ---------\n if language == 'C++':\n #call _recursivelyFindFiles to generate the self.TopLevelFilesFound and self.SubDirsFound lists\n (self.TopLevelFilesFound, self.SubDirsFound) = self._recursivelyFindFiles(sourceDirectory, \".cpp\")\n (tlf, sd) = self._recursivelyFindFiles(sourceDirectory, \".cc\")\n\n self.TopLevelFilesFound += tlf\n self.SubDirsFound += sd\n\n exeFile = sourceDirectory + '/' + 'AG.out'\n\n\n def doInnerCppProcessing(sourceFiles, gradingTextLabel): #sourceFiles is a list of filenames\n #get/report the analytics on the source files\n self._reportFileAnalytics(sourceFiles, outputFile, language)\n \n #include source code here if selected\n if IncludeSourceInOutput == True:\n self._formatSource(sourceFiles, outputFile, language)\n\n #compile the file\n self._removeFile(exeFile)\n self._compileCppFiles(interpreter, sourceFiles, outputFile, exeFile, maxOutputLines)\n\n if os.path.isfile(exeFile): #did the compilation succeed?\n print(\"Compilation succeeded.\")\n self._reportErrorMsg(\"Compilation succeeded.<br>\", outputFile) \n if len(testDataFiles) == 0: #no input data required\n exec_time = self._shellExec('\"'+exeFile+'\"', '', '', outputFile, maxRunTime, maxOutputLines, sourceDirectory)\n print (format(\"%0.4f\" % exec_time) + \" secs.\")\n else:\n for dataFile in testDataFiles:\n self._reportDataFile(dataFile, outputFile)\n \n #print the name of the datafile to indicate progress. This is a temporary solution to allow us to identify\n #programs that don't end. Ultimately, we will want to use a fork()/wait() pair and be able to set a max run time.\n _, filename = os.path.split(dataFile)\n print (\"processing '\" + filename + \"'...\")\n exec_time = self._shellExec('\"'+exeFile+'\"', '', dataFile, outputFile, maxRunTime, maxOutputLines, sourceDirectory)\n\n print (format(\"%0.4f\" % exec_time) + \" secs.\")\n self._reportExecTime(exec_time, outputFile)\n print ()\n else:\n print(\"Executable not found. Check compiler output.\")\n self._reportErrorMsg(\"Executable not found. Check compiler output.<br>\", outputFile)\n\n self._removeFile(exeFile)\n self._gradingBox(sourceDirectory, sourceFiles[0], outputFile, gradingTextLabel)\n return\n\n\n #compile the names of single-file programs and multi-file programs into a single list to enable sorting.\n #note that this is a list of tuples. The first element is the name of the file or directory.\n #the second element specifies if the first is a filename or directory name.\n filesAndDirs = []\n for x in self.TopLevelFilesFound:\n filesAndDirs.append((x,'file')) #add files\n\n for x in self.SubDirsFound:\n filesAndDirs.append((x,'dir')) #add directories\n\n filesAndDirs.sort() #sort the list\n\n print (\"**********************************\")\n for x in filesAndDirs:\n print (x)\n print (\"**********************************\")\n\n #now, process the sorted list depending on whether it is a single-file or directory.\n for n, x in enumerate(filesAndDirs):\n if x[1] == 'file': #this is a file\n #we will process source code in the top-level directory as single-file programs \n print ('=======================================================')\n print (x[0])\n print ('=======================================================')\n #doInnerCppProcessing([x[0]], 'student'+str(n))\n doInnerCppProcessing([x[0]], 'student')\n elif x[1] == 'dir': #this is a directory\n #we will process source code in sub-directories of the top-level directory as multi-file programs\n print ('=======================================================')\n print (x[0])\n print ('=======================================================')\n sourceFiles = []\n self._findFilesInDir(x[0], \".cpp\", sourceFiles) #add .h files to the files list\n self._findFilesInDir(x[0], \".cc\", sourceFiles) #add .h files to the files list\n self._findFilesInDir(x[0], \".h\", sourceFiles) #add .h files to the files list\n self._findFilesInDir(x[0], \".hpp\", sourceFiles) #add .hpp files to the files list\n #doInnerCppProcessing(sourceFiles, 'student'+str(n))\n doInnerCppProcessing(sourceFiles, 'student')\n else:\n print (\"***** EXCEPTION: Entity for processing is neither a file nor a directory. *****\")\n \n \n self._reportErrorMsg('<br><br><b>**** ' + str(len(self.TopLevelFilesFound) + len(self.SubDirsFound)) + ' project(s) processed. ****</b>', outputFile)\n\n #--------- Python ---------\n elif language == 'Python':\n print ('Find sub dirs')\n #first, find all the subdirectories that contain a python source file that matches <sourceFilename>\n #(_, self.SubDirsFound) = self._recursivelyFindFiles(sourceDirectory, sourceFilename)\n #(_, self.SubDirsFound) = self._recursivelyFindFiles(sourceDirectory, '/' + sourceFilename)\n self.SubDirsFound = self._recursivelyFindFile(sourceDirectory, sourceFilename)\n\n print ('Find TLFs')\n #now, find all .py files in the top level directory.\n self.TopLevelFilesFound = self._findFilesInDir(sourceDirectory, \".py\", [])\n #(self.TopLevelFilesFound, _) = self._recursivelyFindFiles(sourceDirectory, \".py\")\n\n\n #does this block do anything??? 9/25/16\n #if sourceFilename == \"\" or sourceFilename == None:\n #self._recursivelyFindFiles(sourceDirectory, \".py\")\n #else:\n #self._recursivelyFindFiles(sourceDirectory, '/' + sourceFilename)\n\n\n def doInnerPythonProcessing(sourceFiles, topLevelModule, gradingTextLabel): #sourceFiles is a list of filenames\n #get/report the analytics on the source files\n self._reportFileAnalytics(sourceFiles, outputFile, language)\n \n #include source code here if selected\n if IncludeSourceInOutput == True:\n self._formatSource(sourceFiles, outputFile, language)\n\n\n if len(testDataFiles) == 0: #no input data required\n exec_time = self._shellExec('\"'+interpreter+'\"', topLevelModule, '', outputFile, maxRunTime, maxOutputLines, sourceDirectory)\n print (format(\"%0.4f\" % exec_time) + \" secs.\")\n self._reportExecTime(exec_time, outputFile)\n else:\n for dataFile in testDataFiles:\n self._reportDataFile(dataFile, outputFile)\n \n #print the name of the datafile to indicate progress. This is a temporary solution to allow us to identify\n #programs that don't end. Ultimately, we will want to use a fork()/wait() pair and be able to set a max run time.\n _, filename = os.path.split(dataFile)\n print (\"processing '\" + filename + \"'...\")\n exec_time = self._shellExec('\"'+interpreter+'\"', topLevelModule, dataFile, outputFile, maxRunTime, maxOutputLines, sourceDirectory)\n\n print (format(\"%0.4f\" % exec_time) + \" secs.\")\n self._reportExecTime(exec_time, outputFile)\n print ()\n \n self._gradingBox(sourceDirectory, sourceFiles[0], outputFile, gradingTextLabel)\n return\n\n\n #compile the names of single-file programs and multi-file programs into a single list to enable sorting.\n #note that this is a list of tuples. The first element is the name of the file or directory.\n #the second element specifies if the first is a filename or directory name.\n filesAndDirs = []\n for x in self.TopLevelFilesFound:\n filesAndDirs.append((x,'file')) #add files\n\n for x in self.SubDirsFound:\n filesAndDirs.append((x,'dir')) #add directories\n\n filesAndDirs.sort() #sort the list\n\n print (\"**********************************\")\n for x in filesAndDirs:\n print (x)\n print (\"**********************************\")\n\n\n #now, process the sorted list depending on whether it is a single-file or directory\n for n, x in enumerate(filesAndDirs):\n if x[1] == 'file': #this is a file\n #we will process source code in the top-level directory as single-file programs \n print ('=======================================================')\n print (x[0])\n print ('=======================================================')\n #doInnerPythonProcessing([x[0]], x[0], 'student'+str(n))\n doInnerPythonProcessing([x[0]], x[0], 'student')\n elif x[1] == 'dir': #this is a directory\n #we will process source code in sub-directories of the top-level directory as multi-file programs\n print ('=======================================================')\n print (x[0])\n print ('=======================================================')\n #doInnerPythonProcessing(self._findFilesInDir(x[0],\".py\", []), x[0]+'/'+sourceFilename, 'student'+str(n))\n doInnerPythonProcessing(self._findFilesInDir(x[0],\".py\", []), x[0]+'/'+sourceFilename, 'student')\n else:\n print (\"***** EXCEPTION: Entity for processing is neither a file nor a directory. *****\")\n \n \n self._reportErrorMsg('<br><br><b>**** ' + str(len(self.TopLevelFilesFound) + len(self.SubDirsFound)) + ' project(s) processed. ****</b>', outputFile)\n\n\n\n #--------- Unknown language ---------\n else:\n print ('Unknown language choice: ' + language)\n return\n\n \n self._reportErrorMsg('<br><font face=\"verdana\">', outputFile)\n self._reportErrorMsg('Report Generator: AutoGrader v' + AutoGraderVersion + '<br>', outputFile)\n if language == 'C++':\n self._reportErrorMsg('C++ Compiler: ' + interpreter + '<br>', outputFile)\n elif language == 'Python':\n self._reportErrorMsg('Python Interpreter: ' + interpreter + '<br>', outputFile)\n else:\n self._reportErrorMsg('Compiler/Interpreter: Not Specified <br>', outputFile)\n self._reportErrorMsg('<br></font>', outputFile)\n\n self._writeOutput('''<font size='+6'><input type=\"button\" style=\"font-size:20px;width:250px\" value=\"Download Feedback\" OnClick=\"download_feedback_file()\">\n <br><br></font></form>''', outputFile)\n\n\n feedback_filename = 'feedback.txt'\n download_script = '''\n <script type=\"text/javascript\">\n\n function download_feedback_file()\n {\n \n x = document.getElementsByName(\"student\").length\n msg = \"\"\n for (i=0; i<x; i++)\n {\n msg = msg + document.getElementsByName(\"student\")[i].value\n msg = msg + '\\\\n\\\\n-------------------------------------------------------\\\\n'\n }\n\n var element = document.createElement('a');\n element.setAttribute('href', 'data:text/plain;charset=utf-8,' + encodeURIComponent(msg));\n element.setAttribute('download', \"''' + feedback_filename + '''\");\n\n element.style.display = 'none';\n document.body.appendChild(element);\n\n element.click();\n\n document.body.removeChild(element);\n }\n\n </script>\n </body></html>\n\n '''\n self._writeOutput(download_script, outputFile)\n\n self._writeOutput('</body></html>', outputFile)\n\n \n #open the output file using the default application\n cmd = 'open \"' + outputFile + '\"'\n os.system(cmd)\n \n print (\"***End***\\n\")\n\n\n\n #--------- ---------","def main():\n\n # set up output directory and file\n output_file_folder = \"output/{}\".format(args.experiment_name)\n Path(output_file_folder).mkdir(parents=True, exist_ok=True)\n args.output_file_name = \"{}/{}.csv\".format(output_file_folder, args.model_name)\n args.checkpoint_name = \"{}/{}.pt\".format(output_file_folder, args.model_name + \"_best_model\")\n\n # read lcquad merged data\n if args.dataset_name == \"lcquad\":\n df_train = pd.read_csv(\"./data/lcquad/gold_db/train_gold.csv\")\n df_valid = pd.read_csv(\"./data/lcquad/gold_db/valid_gold.csv\")\n df_test = pd.read_csv(\"./data/lcquad/gold_db/lcquad_test_sorted.csv\")\n args.gold_file_name = \"lcquad/lcquad_gt_5000.csv\"\n # elif args.dataset_name == \"qald9\":\n # df_train = pd.read_csv(\"./data/qald-9/train_gold.csv\")\n # df_valid = pd.read_csv(\"./data/qald-9/valid_gold.csv\")\n # df_test = pd.read_csv(\"./data/qald-9/test_gold.csv\")\n # args.gold_file_name = \"qald/qald_data_gt.csv\"\n # elif args.dataset_name == \"webqsp\":\n # df_train = pd.read_csv(\"./data/webqsp/train_gold.csv\")\n # df_valid = pd.read_csv(\"./data/webqsp/valid_gold.csv\")\n # df_test = pd.read_csv(\"./data/webqsp/test_gold.csv\")\n # args.gold_file_name = \"webqsp/webqsp_data_gt.csv\"\n\n train_data = read_data_file(df_train, device, \"train\")\n valid_data = read_data_file(df_valid, device, \"valid\")\n test_data = read_data_file(df_test, device, \"test\")\n\n # train model and evaluate\n if args.model_name == \"pure\":\n model = PureNameLNN(args.alpha, -1, False)\n elif args.model_name == \"ctx\":\n model = None\n elif args.model_name == 'type':\n model = None\n elif args.model_name == \"pure_ctx\":\n model = None\n elif args.model_name == \"pure_type\":\n model = None\n elif args.model_name == \"ctx_type\":\n model = None\n\n model = model.to(device)\n print(\"model: \", args.model_name, args.alpha)\n\n # training\n train(model, train_data, valid_data, test_data, args.checkpoint_name, args.num_epoch, args.margin, args.learning_rate)","def main(self):\n # Set up importer\n self._setup()\n\n log.debug('Importer started with arguments: %s' % sys.argv[1:])\n filecheck = CheckFiles()\n gpg = get_gnupg()\n\n # Try parsing the changes file, but fail if there's an error.\n try:\n self.changes = Changes(filename=self.changes_file)\n filecheck.test_files_present(self.changes)\n filecheck.test_md5sum(self.changes)\n except Exception as e:\n # XXX: The user won't ever see this message. The changes file was\n # invalid, we don't know whom send it to\n self._reject(\"Your changes file appears invalid. Refusing your upload\\n%s\" % (e.message))\n\n if not self.skip_gpg:\n # Next, find out whether the changes file was signed with a valid signature, if not reject immediately\n v = gpg.verify_file(path=self.changes_file)\n if v is None:\n self._reject('Your upload does not appear to be signed')\n\n if not v.is_valid:\n self._reject('Your upload does not contain a valid signature. Output was:\\n%s' % (gpg_out))\n self._determine_uploader_by_gpg(v.key_id)\n else:\n self._determine_uploader_by_changedby_field()\n\n if self.user is None:\n # Creates a fake user object, but only if no user was found before\n # This is useful to have a user object to send reject mails to\n # generate user object, but only to send out reject message\n self.user = User(id=-1, name=maintainer_realname, email=maintainer_email_address)\n self._reject('Couldn\\'t find user %s. Exiting.' % self.user.email)\n\n self.user_id = self.user.id\n log.debug(\"User found in database. Has id: %s\", self.user.id)\n\n if self.user.dmup is False:\n log.debug(\"User has not accepted the DMUP\")\n self._reject('You must accept the Debian Machine Usage Policies before uploading a package')\n\n self.files = self.changes.get_files()\n self.files_to_remove = []\n\n distribution = self.changes['Distribution'].lower()\n allowed_distributions = (\n 'oldstable', 'stable', 'unstable', 'experimental', 'stable-backports', 'oldstable-backports',\n 'oldstable-backports-sloppy', 'oldstable-security', 'stable-security', 'testing-security',\n 'stable-proposed-updates',\n 'testing-proposed-updates', 'sid', 'wheezy', 'squeeze', 'lenny', 'squeeze-backports', 'lenny-backports',\n 'lenny-security', 'lenny-backports-sloppy', 'lenny-volatile', 'squeeze-security', 'squeeze-updates',\n 'wheezy-security',\n 'unreleased')\n if distribution not in allowed_distributions:\n self._reject(\"You are not uploading to one of those Debian distributions: %s\" %\n (reduce(lambda x, xs: x + \" \" + xs, allowed_distributions)))\n\n # Look whether the orig tarball is present, and if not, try and get it from\n # the repository.\n (orig, orig_file_found) = filecheck.find_orig_tarball(self.changes)\n if orig_file_found != constants.ORIG_TARBALL_LOCATION_LOCAL:\n log.debug(\"Upload does not contain orig.tar.gz - trying to find it elsewhere\")\n if orig and orig_file_found == constants.ORIG_TARBALL_LOCATION_REPOSITORY:\n filename = os.path.join(pylons.config['debexpo.repository'],\n self.changes.get_pool_path(), orig)\n if os.path.isfile(filename):\n log.debug(\"Found tar.gz in repository as %s\" % (filename))\n shutil.copy(filename, pylons.config['debexpo.upload.incoming'])\n # We need the orig.tar.gz for the import run, plugins need to extract the source package\n # also Lintian needs it. However the orig.tar.gz is in the repository already, so we can\n # remove it later\n self.files_to_remove.append(orig)\n\n destdir = pylons.config['debexpo.repository']\n\n\n # Check whether the files are already present\n log.debug(\"Checking whether files are already in the repository\")\n toinstall = []\n pool_dir = os.path.join(destdir, self.changes.get_pool_path())\n log.debug(\"Pool directory: %s\", pool_dir)\n for file in self.files:\n if os.path.isfile(file) and os.path.isfile(os.path.join(pool_dir, file)):\n log.warning('%s is being installed even though it already exists' % file)\n toinstall.append(file)\n elif os.path.isfile(file):\n log.debug('File %s is safe to install' % os.path.join(pool_dir, file))\n toinstall.append(file)\n # skip another corner case, where the dsc contains a orig.tar.gz but wasn't uploaded\n # by doing nothing here for that case\n\n\n\n # initiate the git storage\n gs = GitStorage(os.path.join(destdir, \"git\", self.changes['Source']))\n if os.path.isdir(os.path.join(destdir, 'git', 'last')):\n log.debug(\"folder exist, cleaning it\")\n shutil.rmtree(os.path.join(destdir, \"git\", 'last', ''), True)\n else:\n log.debug(\"last folder doesn't exist, creating one\")\n os.makedirs(os.path.join(destdir, 'git', 'last', ''))\n\n #building sources\n\n log.debug(\"building sources!\")\n self._build_source(os.path.join(destdir, 'git', 'last', ''))\n\n #removing older file\n if os.path.isdir(os.path.join(destdir, 'git', self.changes['source'], self.changes['source'])):\n for i in glob(os.path.join(destdir, 'git', self.changes['source'], self.changes['source'], '*')):\n if os.path.isdir(i):\n shutil.rmtree(i)\n else:\n os.remove(i)\n os.rmdir(os.path.join(destdir, 'git', self.changes['source'], self.changes['source']))\n shutil.copytree(os.path.join(destdir, 'git', 'last', 'extracted'),\n os.path.join(destdir, 'git', self.changes['source'], self.changes['source']))\n os.path.join(destdir, 'git', self.changes['source'], self.changes['source'])\n fileToAdd = self._get_files(os.path.join(destdir, 'git', self.changes['source'], self.changes['source']))\n fileToAdd = self._clean_path(os.path.join(destdir, 'git', self.changes['source']), fileToAdd)\n gs.change(fileToAdd)\n\n\n\n # Run post-upload plugins.\n post_upload = Plugins('post-upload', self.changes, self.changes_file,\n user_id=self.user_id)\n if post_upload.stop():\n log.critical('post-upload plugins failed')\n self._remove_changes()\n sys.exit(1)\n\n # Check whether a post-upload plugin has got the orig tarball from somewhere.\n if not orig_file_found and not filecheck.is_native_package(self.changes):\n (orig, orig_file_found) = filecheck.find_orig_tarball(self.changes)\n if orig_file_found == constants.ORIG_TARBALL_LOCATION_NOT_FOUND:\n # When coming here it means:\n # a) The uploader did not include a orig.tar.gz in his upload\n # b) We couldn't find a orig.tar.gz in our repository\n # c) No plugin could get the orig.tar.gz\n # ... time to give up\n if orig == None:\n orig = \"any original tarball (orig.tar.gz)\"\n self._reject(\"Rejecting incomplete upload. \"\n \"You did not upload %s and we didn't find it on any of our alternative resources.\\n\"\\\n \"If you tried to upload a package which only increased the Debian revision part, make sure you include the full source (pass -sa to dpkg-buildpackage)\" %\n ( orig ))\n else:\n toinstall.append(orig)\n\n # Check whether the debexpo.repository variable is set\n if 'debexpo.repository' not in pylons.config:\n self._fail('debexpo.repository not set')\n\n # Check whether debexpo.repository is a directory\n if not os.path.isdir(pylons.config['debexpo.repository']):\n self._fail('debexpo.repository is not a directory')\n\n # Check whether debexpo.repository is writeable\n if not os.access(pylons.config['debexpo.repository'], os.W_OK):\n self._fail('debexpo.repository is not writeable')\n\n qa = Plugins('qa', self.changes, self.changes_file, user_id=self.user_id)\n if qa.stop():\n self._reject('QA plugins failed the package')\n\n # Loop through parent directories in the target installation directory to make sure they\n # all exist. If not, create them.\n for dir in self.changes.get_pool_path().split('/'):\n destdir = os.path.join(destdir, dir)\n\n if not os.path.isdir(destdir):\n log.debug('Creating directory: %s' % destdir)\n os.mkdir(destdir)\n\n # Install files in repository\n for file in toinstall:\n log.debug(\"Installing new file %s\" % (file))\n shutil.move(file, os.path.join(destdir, file))\n #git job is done, cleaning\n shutil.rmtree(os.path.join(pylons.config['debexpo.repository'], 'git', 'last', ''))\n\n self._remove_temporary_files()\n # Create the database rows\n self._create_db_entries(qa)\n\n # Execute I'm happy to have post-successful-upload plugins\n f = open(self.changes_file)\n changes_contents = f.read()\n f.close()\n Plugins('post-successful-upload', self.changes, self.changes_file,\n changes_contents=changes_contents)\n\n # Remove the changes file\n self._remove_changes()\n\n # Refresh the Sources/Packages files.\n log.debug('Updating Sources and Packages files')\n r = Repository(pylons.config['debexpo.repository'])\n r.update()\n\n log.debug('Done')\n return 0","def process_files(user, application, complete_path, init_es, tool, scan_name, user_host, to_name,hook_log=None):\n try:\n application = Application.objects.get(id=application)\n scan = Scan.objects.get(name=scan_name)\n scan.scanlog.status = 'Initiated'\n scan.scanlog.save()\n scan_log = scan.scanlog\n scan_log.status = 'In Progress'\n scan_log.save()\n try:\n if tool == 'Burp': \n parse_burp(complete_path,user,init_es)\n elif tool == 'ZAP':\n ext = complete_path.split('.')[-1]\n if ext == 'json':\n parse_zap_json(complete_path,user,init_es)\n elif ext == 'xml':\n parse_zap(complete_path,user,init_es)\n elif tool == 'AppSpider':\n parse_appspider(complete_path,user,init_es)\n elif tool == 'Arachni':\n parse_arachni(complete_path,user,init_es)\n elif tool == 'Bandit':\n parse_bandit(complete_path,user,init_es)\n elif tool == 'Checkmarx':\n parse_checkmarx(complete_path,user,init_es)\n elif tool == 'AppScan - DAST':\n parse_appscan_dast(complete_path,user,init_es)\n elif tool == 'AppScan - SAST':\n parse_appscan_sast(complete_path,user,init_es)\n elif tool == 'OWASP Dependency Checker':\n parse_owasp_dep_checker(complete_path,user,init_es)\n elif tool == 'w3af':\n w = W3afParser(complete_path,user,init_es,tool)\n w.parse_xml()\n elif tool == \"HP Fortify\":\n parse_hp_fortify(complete_path,user,init_es)\n elif tool == \"Xanitizer\":\n parse_xanitizer(complete_path,user,init_es)\n elif tool == \"FindSecBugs\":\n parser_findsecbug(complete_path,user,init_es) \n info_debug_log(ip=user_host,user=user,event='XML Parsing',status='success')\n if hook_log:\n hook_log.scan_process_event = True\n hook_log.scan_process_exception = ''\n hook_log.scan_process_datetime = timezone.now()\n hook_log.scan_id = scan.name\n hook_log.vul_process_event = True\n hook_log.vul_process_exception = ''\n hook_log.vul_process_datetime = timezone.now()\n hook_log.save()\n scan_log.status = 'Completed'\n scan_log.save()\n except BaseException as e:\n scan_log.status = 'Killed'\n scan_log.save()\n scan.delete()\n log_exception(e)\n if hook_log:\n hook_log.vul_process_event = False\n hook_log.vul_process_exception = e\n hook_log.vul_process_datetime = timezone.now()\n hook_log.scan_process_event = False\n hook_log.scan_process_exception = e\n hook_log.scan_process_datetime = timezone.now()\n hook_log.scan_id = ''\n hook_log.save()\n # general_error_messages.delay(path='process_files function',msg=log_exception(e))\n critical_debug_log(ip=user_host,user=user,event=e,status='failure')\n except BaseException as e:\n log_exception(e)\n scan_log.status = 'Killed'\n scan_log.save()\n critical_debug_log(ip=user_host,user=user,event=e,status='failure')\n if hook_log:\n hook_log.scan_process_event = False\n hook_log.scan_process_exception = e\n hook_log.scan_process_datetime = timezone.now()\n hook_log.scan_id = ''\n hook_log.save() \n finally:\n info_debug_log(ip=user_host,user=user,event='Remove file after XML parsing',status='success')\n remove_file(complete_path)","def main():\n\n parser = argparse.ArgumentParser(description=\"generateTestStubs\")\n\n parser.add_argument(\"taskFile\",\n help=\"Path for assignment file.\")\n\n args = parser.parse_args()\n\n if not os.path.exists(args.taskFile):\n print(\"Task file does not exist.\")\n sys.exit(1)\n\n taskMgr = EEWebLPProject()\n taskMgr.initLP()\n\n #taskMgr.listProjects()\n #taskMgr.loadTree([\"project_id=8008922\"])\n tasks = taskMgr.getTasks([\"project_id=6890048\"],parent_id=8008922)\n\n fileByAssignee = taskMgr.getTaskOwners(args.taskFile)\n taskMgr.updateTaskOwners(fileByAssignee,tasks)","def test_create_files(self):\n\n testdir = \"test_output\"\n test_submission = Submission()\n self.addCleanup(os.remove, \"submission.tar.gz\")\n self.addCleanup(shutil.rmtree, testdir)\n\n test_submission.create_files(testdir)\n\n self.doCleanups()","def test_single_file(self, db, course_dir):\n run_nbgrader([\"db\", \"assignment\", \"add\", \"ps1\", \"--db\", db])\n run_nbgrader([\"db\", \"student\", \"add\", \"foo\", \"--db\", db])\n\n self._copy_file(join(\"files\", \"submitted-unchanged.ipynb\"), join(course_dir, \"source\", \"ps1\", \"p1.ipynb\"))\n run_nbgrader([\"assign\", \"ps1\", \"--db\", db])\n\n self._copy_file(join(\"files\", \"submitted-unchanged.ipynb\"), join(course_dir, \"submitted\", \"foo\", \"ps1\", \"p1.ipynb\"))\n run_nbgrader([\"autograde\", \"ps1\", \"--db\", db])\n run_nbgrader([\"generate_feedback\", \"ps1\", \"--db\", db])\n\n assert exists(join(course_dir, \"feedback\", \"foo\", \"ps1\", \"p1.html\"))","def workflow(base_dir, # base tool path\n use_cache=1, # whether to skip already executed runs (in cache) or not (1/0)\n ignore_git=0): # whether to ignore git version or not (1/0)\n\n # get some needed variables from config file\n runs = int(config['general']['runs'])\n workers = int(config['general']['workers'])\n\n batch_size = int(config['mtje']['batch_size'])\n epochs = int(config['mtje']['epochs'])\n use_malicious_labels = int(config['mtje']['use_malicious_labels'])\n use_count_labels = int(config['mtje']['use_count_labels'])\n gen_type = config['mtje']['gen_type']\n similarity_measure = config['mtje']['similarity_measure'].lower()\n net_type = 'mtje'\n\n training_n_samples = int(config['sorel20mDataset']['training_n_samples'])\n validation_n_samples = int(config['sorel20mDataset']['validation_n_samples'])\n test_n_samples = int(config['sorel20mDataset']['test_n_samples'])\n\n min_n_anchor_samples = int(config['freshDataset']['min_n_anchor_samples'])\n max_n_anchor_samples = int(config['freshDataset']['max_n_anchor_samples'])\n fresh_n_queries = int(config['freshDataset']['n_queries'])\n n_evaluations = int(config['freshDataset']['n_evaluations'])\n\n f_c_epochs = int(config['familyClassifier']['epochs'])\n f_c_train_split_proportion = int(config['familyClassifier']['train_split_proportion'])\n f_c_valid_split_proportion = int(config['familyClassifier']['valid_split_proportion'])\n f_c_test_split_proportion = int(config['familyClassifier']['test_split_proportion'])\n f_c_batch_size = int(config['familyClassifier']['batch_size'])\n\n c_l_epochs = int(config['contrastiveLearning']['epochs'])\n c_l_train_split_proportion = int(config['contrastiveLearning']['train_split_proportion'])\n c_l_valid_split_proportion = int(config['contrastiveLearning']['valid_split_proportion'])\n c_l_test_split_proportion = int(config['contrastiveLearning']['test_split_proportion'])\n c_l_batch_size = int(config['contrastiveLearning']['batch_size'])\n c_l_rank_size = int(config['contrastiveLearning']['rank_size'])\n c_l_knn_k_min = int(config['contrastiveLearning']['knn_k_min'])\n c_l_knn_k_max = int(config['contrastiveLearning']['knn_k_max'])\n\n # initialize Hash object\n ch = Hash()\n\n # update hash with the content of the config file (for the current net type)\n ch.update(json.dumps(dict(config.items('sorel20mDataset'))))\n # get config file sha256 digest\n dataset_config_sha = ch.get_b64()\n\n # update hash with the content of the config file (for the current net type)\n ch.update(json.dumps(dict(config.items(net_type))))\n # get config file sha256 digest\n config_sha = ch.get_b64()\n\n # update hash with the content of the config file (for the freshDataset)\n ch.update(json.dumps(dict(config.items('freshDataset'))))\n # get config file sha256 digest\n fresh_dataset_config_sha = ch.get_b64()\n\n # create copy of the current config hash digest\n ch_copy = ch.copy()\n\n # update hash with the content of the config file (for the freshDataset)\n ch.update(json.dumps(dict(config.items('familyClassifier'))))\n # get config file sha256 digest\n family_class_config_sha = ch.get_b64()\n\n # update hash with the content of the config file (for the freshDataset)\n ch_copy.update(json.dumps(dict(config.items('contrastiveLearning'))))\n # get config file sha256 digest\n contr_learn_config_sha = ch_copy.get_b64()\n\n # instantiate key-n_samples dict\n n_samples_dict = {'train': training_n_samples,\n 'validation': validation_n_samples,\n 'test': test_n_samples}\n\n # Note: The entrypoint names are defined in MLproject. The artifact directories\n # are documented by each step's .py file.\n\n # start mlflow run\n with mlflow.start_run() as active_run:\n # get code git commit version\n git_commit = active_run.data.tags.get(mlflow_tags.MLFLOW_GIT_COMMIT)\n\n # log config file\n mlflow.log_text(json.dumps({s: dict(config.items(s)) for s in config.sections()}), 'config.txt')\n\n # set dataset destination dir\n dataset_dir = os.path.join(base_dir, 'dataset')\n # set dataset base path (directory containing 'meta.db')\n dataset_base_path = os.path.join(dataset_dir, '09-DEC-2020', 'processed-data')\n # set pre-processed dataset base path (directory containing .dat files)\n pre_processed_dataset_dir = os.path.join(dataset_dir, '09-DEC-2020', 'pre-processed_dataset')\n # set fresh dataset base path (directory containing .dat files)\n fresh_dataset_dir = os.path.join(dataset_dir, 'fresh_dataset')\n\n # if pre-processed dataset files for this run parameters are not present, generate them\n if not preproc_check_files(destination_dir=pre_processed_dataset_dir,\n n_samples_dict=n_samples_dict):\n logger.info(\"Pre-processed dataset not found.\")\n\n # if the original Sorel20M dataset is not present, download it\n if not download_check_files(dataset_dir):\n logger.info(\"Dataset not found.\")\n\n # run dataset downloader\n download_dataset_run = run(\"download_dataset\", {\n 'destination_dir': dataset_dir\n }, config_sha=dataset_config_sha)\n\n # pre-process dataset\n preprocess_dataset_run = run(\"preprocess_dataset\", {\n 'ds_path': dataset_base_path,\n 'destination_dir': pre_processed_dataset_dir,\n 'training_n_samples': training_n_samples,\n 'validation_n_samples': validation_n_samples,\n 'test_n_samples': test_n_samples,\n 'batch_size': batch_size,\n 'remove_missing_features': str(os.path.join(dataset_base_path, \"shas_missing_ember_features.json\"))\n }, config_sha=dataset_config_sha)\n\n # if the fresh dataset is not present, generate it\n if not fresh_check_files(fresh_dataset_dir):\n logger.info(\"Fresh dataset not found.\")\n\n # generate fresh dataset\n build_fresh_dataset_run = run(\"build_fresh_dataset\", {\n 'dataset_dest_dir': fresh_dataset_dir\n }, config_sha=fresh_dataset_config_sha)\n\n # initialize results files dicts\n results_files = {}\n c_l_results_files = {}\n\n # instantiate common (between consecutive training runs) training parameters\n common_training_params = {\n 'ds_path': pre_processed_dataset_dir,\n 'net_type': net_type if similarity_measure == 'dot' else net_type + '_{}'.format(similarity_measure),\n 'gen_type': gen_type,\n 'batch_size': batch_size,\n 'epochs': epochs,\n 'training_n_samples': training_n_samples,\n 'validation_n_samples': validation_n_samples,\n 'use_malicious_labels': use_malicious_labels,\n 'use_count_labels': use_count_labels,\n 'workers': workers\n }\n\n # instantiate common (between consecutive training runs) evaluation parameters\n common_evaluation_params = {\n 'ds_path': pre_processed_dataset_dir,\n 'net_type': net_type if similarity_measure == 'dot' else net_type + '_{}'.format(similarity_measure),\n 'gen_type': gen_type,\n 'batch_size': batch_size,\n 'test_n_samples': test_n_samples,\n 'evaluate_malware': use_malicious_labels,\n 'evaluate_count': use_count_labels\n }\n\n # for each training run\n for training_run_id in range(runs):\n logger.info(\"initiating training run n. {}\".format(str(training_run_id)))\n\n # -- Model Training and Evaluation Steps -------------------------------------------------------------------\n # set training parameters\n training_params = common_training_params\n training_params.update({'training_run': training_run_id})\n\n # train network (get or run) on Sorel20M dataset\n training_run = get_or_run(\"train_network\",\n training_params,\n git_commit,\n ignore_git=bool(ignore_git),\n use_cache=bool(use_cache),\n resume=True,\n config_sha=config_sha)\n\n # get model checkpoints path\n checkpoint_path = parse.unquote(parse.urlparse(os.path.join(training_run.info.artifact_uri,\n \"model_checkpoints\")).path)\n\n # set model checkpoint filename\n checkpoint_file = os.path.join(checkpoint_path, \"epoch_{}.pt\".format(epochs))\n\n # set evaluation parameters\n evaluation_params = common_evaluation_params\n evaluation_params.update({'checkpoint_file': checkpoint_file})\n\n # evaluate model against Sorel20M dataset\n evaluation_run = get_or_run(\"evaluate_network\",\n evaluation_params,\n git_commit,\n ignore_git=bool(ignore_git),\n use_cache=bool(use_cache),\n config_sha=config_sha)\n\n # get model evaluation results path\n results_path = parse.unquote(parse.urlparse(os.path.join(evaluation_run.info.artifact_uri,\n \"model_results\")).path)\n\n # set model evaluation results filename\n results_file = os.path.join(results_path, \"results.csv\")\n\n # add file path to results_files dictionary (used for plotting mean results)\n results_files[\"run_id_\" + str(training_run_id)] = results_file\n\n # compute (and plot) all tagging results\n all_tagging_results_run = get_or_run(\"compute_all_run_results\", {\n 'results_file': results_file,\n 'use_malicious_labels': use_malicious_labels,\n 'use_tag_labels': 1\n }, git_commit, ignore_git=bool(ignore_git), use_cache=bool(use_cache), config_sha=config_sha)\n # ----------------------------------------------------------------------------------------------------------\n\n # -- Model Evaluation using Fresh Dataset Steps ------------------------------------------------------------\n # evaluate model against fresh dataset\n fresh_evaluation_run = get_or_run(\"evaluate_fresh\", {\n 'fresh_ds_path': fresh_dataset_dir,\n 'checkpoint_path': checkpoint_file,\n 'net_type': net_type if similarity_measure == 'dot' else net_type + '_{}'.format(similarity_measure),\n 'min_n_anchor_samples': min_n_anchor_samples,\n 'max_n_anchor_samples': max_n_anchor_samples,\n 'n_query_samples': fresh_n_queries,\n 'n_evaluations': n_evaluations\n }, git_commit, ignore_git=bool(ignore_git), use_cache=bool(use_cache), config_sha=fresh_dataset_config_sha)\n\n # get model evaluation results path\n fresh_results_path = parse.unquote(parse.urlparse(os.path.join(fresh_evaluation_run.info.artifact_uri,\n \"fresh_prediction_results\")).path)\n\n # set model evaluation results filename\n fresh_results_file = os.path.join(fresh_results_path, \"fresh_prediction_results.json\")\n\n # compute (and plot) all family prediction results (on fresh dataset)\n all_tagging_results_run = get_or_run(\"compute_all_run_fresh_results\", {\n 'results_file': fresh_results_file\n }, git_commit, ignore_git=bool(ignore_git), use_cache=bool(use_cache), config_sha=fresh_dataset_config_sha)\n # ----------------------------------------------------------------------------------------------------------\n\n # -- Family Classifier Steps -------------------------------------------------------------------------------\n # create family classifier from previously trained network and train it on fresh dataset\n f_c_train_run = get_or_run(\"train_family_classifier\", {\n 'fresh_ds_path': fresh_dataset_dir,\n 'checkpoint_path': checkpoint_file,\n 'epochs': f_c_epochs,\n 'training_run': training_run_id,\n 'train_split_proportion': f_c_train_split_proportion,\n 'valid_split_proportion': f_c_valid_split_proportion,\n 'test_split_proportion': f_c_test_split_proportion,\n 'batch_size': f_c_batch_size\n }, git_commit, ignore_git=bool(ignore_git), use_cache=bool(use_cache), config_sha=family_class_config_sha)\n\n # get model checkpoints path\n f_c_checkpoint_path = parse.unquote(parse.urlparse(os.path.join(f_c_train_run.info.artifact_uri,\n \"model_checkpoints\")).path)\n\n # set model checkpoint filename\n f_c_checkpoint_file = os.path.join(f_c_checkpoint_path, \"epoch_{}.pt\".format(f_c_epochs))\n\n # evaluate model against fresh dataset\n f_c_eval_run = get_or_run(\"evaluate_family_classifier\", {\n 'fresh_ds_path': fresh_dataset_dir,\n 'checkpoint_path': f_c_checkpoint_file,\n 'training_run': training_run_id,\n 'train_split_proportion': f_c_train_split_proportion,\n 'valid_split_proportion': f_c_valid_split_proportion,\n 'test_split_proportion': f_c_test_split_proportion,\n 'batch_size': f_c_batch_size\n }, git_commit, ignore_git=bool(ignore_git), use_cache=bool(use_cache), config_sha=family_class_config_sha)\n\n # get model evaluation results path\n f_c_results_path = parse.unquote(parse.urlparse(os.path.join(f_c_eval_run.info.artifact_uri,\n \"family_class_results\")).path)\n\n # set model evaluation results filename\n f_c_results_file = os.path.join(f_c_results_path, \"results.csv\")\n\n # compute (and plot) all tagging results\n f_c_compute_results_run = get_or_run(\"compute_all_family_class_results\", {\n 'results_file': f_c_results_file,\n 'fresh_ds_path': fresh_dataset_dir\n }, git_commit, ignore_git=bool(ignore_git), use_cache=bool(use_cache), config_sha=family_class_config_sha)\n # ----------------------------------------------------------------------------------------------------------\n\n # -- Contrastive Learning Steps ----------------------------------------------------------------------------\n # create family classifier from previously trained network and train it on fresh dataset\n c_l_train_run = get_or_run(\"train_contrastive_model\", {\n 'fresh_ds_path': fresh_dataset_dir,\n 'checkpoint_path': checkpoint_file,\n 'epochs': c_l_epochs,\n 'training_run': training_run_id,\n 'train_split_proportion': c_l_train_split_proportion,\n 'valid_split_proportion': c_l_valid_split_proportion,\n 'test_split_proportion': c_l_test_split_proportion,\n 'batch_size': c_l_batch_size\n }, git_commit, ignore_git=bool(ignore_git), use_cache=bool(use_cache), config_sha=contr_learn_config_sha)\n\n # get model checkpoints path\n c_l_checkpoint_path = parse.unquote(parse.urlparse(os.path.join(c_l_train_run.info.artifact_uri,\n \"model_checkpoints\")).path)\n\n # set model checkpoint filename\n c_l_checkpoint_file = os.path.join(c_l_checkpoint_path, \"epoch_{}.pt\".format(c_l_epochs))\n\n # evaluate model against fresh dataset\n c_l_eval_run = get_or_run(\"evaluate_contrastive_model\", {\n 'fresh_ds_path': fresh_dataset_dir,\n 'checkpoint_path': c_l_checkpoint_file,\n 'training_run': training_run_id,\n 'train_split_proportion': c_l_train_split_proportion,\n 'valid_split_proportion': c_l_valid_split_proportion,\n 'test_split_proportion': c_l_test_split_proportion,\n 'batch_size': c_l_batch_size,\n 'rank_size': c_l_rank_size,\n 'knn_k_min': c_l_knn_k_min,\n 'knn_k_max': c_l_knn_k_max\n }, git_commit, ignore_git=bool(ignore_git), use_cache=bool(use_cache), config_sha=contr_learn_config_sha)\n\n # get model evaluation results path\n c_l_results_path = parse.unquote(parse.urlparse(os.path.join(c_l_eval_run.info.artifact_uri,\n \"contrastive_learning_results\")).path)\n\n # set model evaluation results filename\n c_l_results_file = os.path.join(c_l_results_path, \"results.csv\")\n\n # compute (and plot) all tagging results\n c_l_compute_results_run = get_or_run(\"compute_contrastive_learning_results\", {\n 'results_file': c_l_results_file,\n 'fresh_ds_path': fresh_dataset_dir,\n 'knn_k_min': c_l_knn_k_min,\n 'knn_k_max': c_l_knn_k_max\n }, git_commit, ignore_git=bool(ignore_git), use_cache=bool(use_cache), config_sha=contr_learn_config_sha)\n\n # get model evaluation results path\n c_l_scores_dir_path = parse.unquote(parse.urlparse(os.path.join(c_l_compute_results_run.info.artifact_uri,\n \"contrastive_learning_scores\")).path)\n\n # add dir path to c_l_results_files dictionary (used for plotting mean score trends)\n c_l_results_files[\"run_id_\" + str(training_run_id)] = c_l_scores_dir_path\n # ----------------------------------------------------------------------------------------------------------\n\n # create temp dir name using the value from config_sha (sha of some parts of the config file).\n # -> This is done in order to have a different (but predictable) run_to_filename at each set of runs with\n # different parameters. This allows mlflow to know when it is needed to run 'per_tag_plot_runs'. If, on the\n # other hand a simple tempfile.TemporaryDirectory() was used then mlflow would run 'per_tag_plot_runs' every\n # time, even if a precedent run was available (because the parameter 'run_to_filename_json' would be different)\n tempdir = os.path.join(base_dir, 'tmp_{}'.format(config_sha))\n # create temp dir\n os.makedirs(tempdir, exist_ok=True)\n\n # create contrastive learning temp dir name using the value from config_sha (sha of some parts of the config\n # file). -> This is done in order to have a different (but predictable) run_to_filename at each set of runs with\n # different parameters. This allows mlflow to know when it is needed to run 'per_tag_plot_runs'. If, on the\n # other hand a simple tempfile.TemporaryDirectory() was used then mlflow would run 'per_tag_plot_runs' every\n # time, even if a precedent run was available (because the parameter 'run_to_filename_json' would be different)\n c_l_tempdir = os.path.join(base_dir, 'tmp_{}'.format(contr_learn_config_sha))\n # create temp dir\n os.makedirs(c_l_tempdir, exist_ok=True)\n\n # set run-to-filename file path\n run_to_filename = os.path.join(tempdir, \"results.json\")\n\n # create and open the results.json file in write mode\n with open(run_to_filename, \"w\") as output_file:\n # save results_files dictionary as a json file\n json.dump(results_files, output_file)\n\n mlflow.log_artifact(run_to_filename, \"run_to_filename\")\n\n # set run-to-filename file path\n c_l_run_to_filename = os.path.join(c_l_tempdir, \"c_l_results.json\")\n\n # create and open the c_l_results.json file in write mode\n with open(c_l_run_to_filename, \"w\") as output_file:\n # save c_l_results_files dictionary as a json file\n json.dump(c_l_results_files, output_file)\n\n mlflow.log_artifact(c_l_run_to_filename, \"run_to_filename\")\n\n # if there is more than 1 run, compute also per-tag mean results\n if runs > 1:\n # plot all roc distributions\n per_tag_plot_runs = get_or_run(\"plot_all_roc_distributions\", {\n 'run_to_filename_json': run_to_filename,\n 'use_malicious_labels': use_malicious_labels,\n 'use_tag_labels': 1\n }, git_commit, ignore_git=bool(ignore_git), use_cache=bool(use_cache), config_sha=config_sha)\n\n # plot all model mean scores trends\n plot_all_scores_trends = get_or_run(\"plot_all_contrastive_scores_trends\", {\n 'run_to_filename_json': c_l_run_to_filename,\n 'knn_k_min': c_l_knn_k_min,\n 'knn_k_max': c_l_knn_k_max\n }, git_commit, ignore_git=bool(ignore_git), use_cache=bool(use_cache), config_sha=contr_learn_config_sha)\n\n # remove temp files and temporary directory\n os.remove(run_to_filename)\n # os.remove(fresh_run_to_filename)\n os.rmdir(tempdir)\n\n # remove contrastive learning temp files and temporary directory\n os.remove(c_l_run_to_filename)\n # os.remove(fresh_run_to_filename)\n os.rmdir(c_l_tempdir)","def submission():\n logging.info('Loading and compiling models...')\n model_systole = get_model()\n model_diastole = get_model()\n\n logging.info('Loading models weights...')\n model_systole.load_weights('../models/weights/weights_systole_best.hdf5')\n model_diastole.load_weights('../models/weights/weights_diastole_best.hdf5')\n\n logging.info('Loading validation data...')\n X, ids = load_validation_data()\n\n logging.info('Pre-processing images...')\n X = preprocess(X)\n\n batch_size = 32\n logging.info('Predicting on validation data...')\n pred_systole = model_systole.predict(X, batch_size=batch_size, verbose=1)\n pred_diastole = model_diastole.predict(X, batch_size=batch_size, verbose=1)\n\n # real predictions to CDF\n cdf_pred_systole = correct_cdf(pred_systole)\n cdf_pred_diastole = correct_cdf(pred_diastole)\n\n logging.info('Accumulating results...')\n sub_systole = accumulate_study_results(ids, cdf_pred_systole)\n sub_diastole = accumulate_study_results(ids, cdf_pred_diastole)\n\n # write to submission file\n logging.info('Writing submission to file...')\n fi = csv.reader(open('../input/sample_submission_validate.csv'))\n f = open('../submissions/submission_13.csv', 'w')\n fo = csv.writer(f, lineterminator='\\n')\n fo.writerow(next(fi))\n for line in fi:\n idx = line[0]\n key, target = idx.split('_')\n key = int(key)\n out = [idx]\n if key in sub_systole:\n if target == 'Diastole':\n out.extend(list(sub_diastole[key][0]))\n else:\n out.extend(list(sub_systole[key][0]))\n else:\n logging.info('Miss {0}'.format(idx))\n fo.writerow(out)\n f.close()\n\n logging.info('Done.')","def main():\n # <<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<\n # ~~ Handles input arguments\n options = set_parser()\n\n # <<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<\n # ~~~~ Environment ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n update_config(options)\n version = CFGS.configs[CFGS.cfgname].get('version', 'trunk')\n\n # <<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<\n # ~~~~ banners ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n svn_banner(CFGS.get_root(), version)\n\n # <<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<\n # ~~~~ Works for all configurations unless specified ~~~~~~~~~~~~~~~\n # Checking if symlink is available\n if options.use_link and not check_sym_link(options.use_link):\n raise TelemacException(\\\n '\\nThe symlink option is only available on Linux systems. '\n 'Remove the option and try again')\n\n # <<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<\n # ~~~~ Forces not to use any Xwindows backend for Jenkins ~~~~~~~~~~\n if options.vnv_post:\n import matplotlib.pyplot as plt\n\n plt.switch_backend('agg')\n\n # <<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<\n # ~~~~ Reporting errors ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n xcpts = Messages()\n\n # ~~~~ Reporting summary ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n if options.notebook:\n type_valid = 'notebooks'\n else:\n type_valid = 'examples'\n\n report = Report(options.report_name, type_valid)\n\n # ~~~ Running validation\n cfg = config_corrections(options, CFGS.cfgname)\n\n if options.notebook:\n run_validation_notebooks(options, report, xcpts)\n else:\n run_validation_python(cfg, options, report, xcpts)\n\n # Writting report\n if options.report_name != '':\n report.write()\n\n # <<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<\n # ~~~~ Reporting errors ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n if xcpts.not_empty():\n print('\\n\\nHummm ... I could not complete my work.\\n'\n '{}\\n{}'.format('~' * 72, xcpts.except_messages()))\n sys.exit(1)\n\n # <<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<\n # ~~~~ Jenkins' success message ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n else:\n print('\\n\\nMy work is done\\n\\n')\n sys.exit(0)","def main(aArgs, aTransmitToTaskHandler):\n\n global TASK_HANDLER_HOST\n global TASK_HANDLER_PORT\n\n # if the option --printList is passed, only generate the file\n # reftestList.txt\n if hasattr(aArgs, \"printList\"):\n printReftestList()\n exit(0)\n\n # if the option --printNotes is passed, only generate the\n # testsuiteNotes html page.\n if hasattr(aArgs, \"printNotes\"):\n printNotes()\n exit(0)\n\n # if the option --printListOfTests is passed, only generate a ListOfTests\n # from a file containing test URIs\n if hasattr(aArgs, \"printListOfTests\"):\n if not aArgs.printListOfTests:\n print(\"No input file!\", file=sys.stderr)\n exit(0)\n printListOfTests(aArgs.printListOfTests)\n exit(0)\n\n # create the date directory\n now = datetime.utcnow();\n directory = MATHJAX_WEB_PATH + \"results/\"\n if not os.path.exists(directory):\n os.makedirs(directory)\n\n # create the subdirectory\n if aArgs.output and re.match(\"^([0-9]|[a-z]|[A-Z]|-|/){1,50}/$\",\n aArgs.output):\n directory += aArgs.output\n else:\n directory += now.strftime(\"%Y-%m-%d/%H-%M-%S/\")\n\n if not os.path.exists(directory):\n os.makedirs(directory)\n\n # execute testing instances for all the config files\n configFileList = aArgs.config.split(\",\")\n\n for configFile in configFileList:\n\n configFile = configFile\n\n if (not os.path.isfile(configFile)):\n print(\"Warning: config file \" + configFile + \" not found!\",\n file=sys.stderr)\n continue\n\n # Load configuration file\n config = ConfigParser.ConfigParser()\n config.readfp(open(configFile))\n\n # framework section\n section = \"framework\"\n useGrid = getBooleanOption(config, section, \"useGrid\")\n host = config.get(section, \"host\")\n # host == \"default\" is handled below\n port = config.getint(section, \"port\")\n if (port == -1):\n port = SELENIUM_SERVER_PORT\n mathJaxPath = config.get(section, \"mathJaxPath\")\n if (mathJaxPath == \"default\"):\n mathJaxPath = DEFAULT_MATHJAX_PATH\n mathJaxTestPath = config.get(section, \"mathJaxTestPath\")\n if (mathJaxTestPath == \"default\"):\n mathJaxTestPath = MATHJAX_TEST_LOCAL_URI + \"testsuite/\"\n timeOut = config.getint(section, \"timeOut\")\n if (timeOut == -1):\n timeOut = DEFAULT_TIMEOUT\n timeOut = timeOut * 1000 # convert in ms\n useWebDriver = getBooleanOption(config, section, \"useWebDriver\")\n fullScreenMode = getBooleanOption(config, section, \"fullScreenMode\")\n formatOutput = getBooleanOption(config, section, \"formatOutput\")\n compressOutput = getBooleanOption(config, section, \"compressOutput\")\n\n # platform section\n section = \"platform\"\n operatingSystem = config.get(section, \"operatingSystem\")\n if (operatingSystem == \"default\"):\n operatingSystem = OS_LIST[0]\n if (host == \"default\"):\n host = HOST_LIST[HOST_LIST_OS.index(OS_LIST.index(operatingSystem))]\n browserList = config.get(section, \"browser\").split()\n browserVersionList = config.get(section, \"browserVersion\").split()\n browserModeList = config.get(section, \"browserMode\").split()\n browserPath = config.get(section, \"browserPath\")\n fontList = config.get(section, \"font\").split()\n outputJaxList = config.get(section, \"outputJax\").split()\n \n # testsuite section\n section = \"testsuite\"\n runSlowTests = getBooleanOption(config, section, \"runSlowTests\")\n runSkipTests = getBooleanOption(config, section, \"runSkipTests\")\n listOfTests = config.get(section, \"listOfTests\")\n startID = config.get(section, \"startID\")\n if (startID == \"default\"):\n startID = \"\"\n \n # When more than one browser is specified, browserPath is ignored.\n if (len(browserList) > 1 and browserPath != \"default\"):\n print(\"Warning: browserPath ignored\", file=sys.stderr)\n browserPath = \"default\"\n\n for browser in browserList:\n\n if (browser == \"default\"):\n browser = BROWSER_LIST[0]\n\n for font in fontList:\n\n if (font == \"default\"):\n font = FONT_LIST[0]\n\n for outputJax in outputJaxList:\n\n if (outputJax == \"default\"):\n outputJax = OUTPUT_JAX_LIST[0]\n\n for browserVersion in browserVersionList:\n\n # browserModeList is only relevant for MSIE\n if not(browser == \"MSIE\"):\n browserModeList2 = [\"default\"]\n else:\n browserModeList2 = browserModeList\n \n for browserMode in browserModeList2:\n \n # Create a Selenium instance\n selenium = \\\n seleniumMathJax.seleniumMathJax(useWebDriver,\n useGrid,\n host,\n port,\n mathJaxPath,\n mathJaxTestPath,\n operatingSystem,\n browser,\n browserVersion,\n browserMode,\n browserPath,\n font,\n outputJax,\n timeOut,\n fullScreenMode)\n \n if aTransmitToTaskHandler:\n taskHandler = [TASK_HANDLER_HOST,\n TASK_HANDLER_PORT,\n str(os.getpid())]\n else:\n taskHandler = None\n\n # Create the test suite\n suite = reftest.reftestSuite(taskHandler,\n runSlowTests,\n runSkipTests,\n listOfTests,\n startID)\n # use the specified file name\n if hasattr(aArgs, \"filename\"):\n filename = aArgs.filename\n else:\n filename = getOutputFileName(directory,\n selenium,\n suite)\n runTestingInstance(directory, selenium, suite,\n formatOutput, compressOutput,\n filename)\n # end browserMode\n # end browserVersion\n #end outputJax\n # end for font\n # end browser","def feed_jobs(project_name, user_name, config_opts):\n time_start = time.time()\n logfile = open('job_feeder.log', 'a')\n error_file = open('job_feeder.err', 'a')\n\n banner_list = banner(_MODULE_NAME, _MODULE_VERSION, _REVISION_DATE, _AUTHORS, '', _DESCRIPTION)\n for line in banner_list:\n print (line)\n logfile.write(line + '\\n')\n \n cwd = os.getcwd()\n slurm_path = cwd + '/job_templates'\n job_pool_path = cwd + '/jobpool'\n scratch_path = os.environ['GLOBAL_SCRATCH'] + '/' + user_name + '/' + project_name\n result_path = cwd + '/archive'\n problem_path = cwd + '/lost+found'\n queue_file_path = cwd + '/queue_list.dat'\n\n chk_mkdir(scratch_path)\n chk_mkdir(result_path)\n chk_mkdir(problem_path)\n\n # Makes sure all necessary components are present\n if not os.path.isdir(slurm_path):\n error_file.write('no slurm path')\n sys.exit('Missing dir: ' + slurm_path)\n if not os.path.isdir(job_pool_path):\n error_file.write('no jobpool path')\n sys.exit('Missing dir: ' + job_pool_path)\n if not os.path.isdir(result_path):\n error_file.write('no result path')\n sys.exit('Missing dir: ' + result_path)\n if not os.path.isdir(problem_path):\n error_file.write('no problem path')\n sys.exit('Missing dir: ' + problem_path)\n if not os.path.isfile(queue_file_path):\n error_file.write('no queue path')\n sys.exit('Missing dir: ' + queue_file_path)\n\n\n # Keeps track of the run dir\n run_dir_counter = 0\n quickcycle_flag = False\n job_class_list = []\n jobs_length = 0\n job_lines = []\n #job_tracker.log keeps track of all the jobs that at last check hadn't been processed after their submission\n #so this part checks for the spillover jobs from the last run that needs processing\n if os.path.isfile('job_tracker.log'):\n with open('job_tracker.log', 'r') as job_logfile:\n job_lines = job_logfile.readlines()\n for line in job_lines:\n words = line.rstrip().rsplit(',')\n new_job = []\n new_job.append(words[0])\n new_job[-1] = Job(new_job[-1], words[1])\n new_job[-1].path = words[2]\n new_job[-1].slurm_id = words[3]\n job_class_list.append(new_job[-1]) \n\n tmp_str = \"cp job_tracker.log job_tracker_old.log\"\n os.system(tmp_str)\n\n job_class_list = check_jobs(user_name, scratch_path, result_path, problem_path, job_class_list)\n if jobs_length != len(job_class_list):\n print (\"-------------------------------------------------------------------------------\")\n print (\"Jobs running at: \" + std_datetime_str())\n job_logfile = open('job_tracker.log', 'w')\n jobs_length = len(job_class_list)\n for job in job_class_list:\n tmp_str = str(job.name) + ',' + str(job.cluster) + ',' + str(job.path) + ',' + str(job.slurm_id) + '\\n' \n job_logfile.write(tmp_str)\n print (tmp_str.strip('\\n'))\n job_logfile.flush()\n job_logfile.close()\n \n\n if config_opts['job_sched'] == 'SLURM':\n counter = 0\n while 1:\n queue_list = [] # List of quadruples (cluster name, partition name, total jobs that can be run, job type)\n queue_file = open(queue_file_path, 'r')\n # Reads the list of available queues\n while 1:\n line = queue_file.readline()\n if not line:\n break\n words = line.split()\n if len(words) == 4:\n if words[0][0] != '#':\n queue_list.append(words)\n queue_file.close()\n quickcycle_flag = False\n \n job_logfile = open('job_tracker.log', 'w')\n\n # Process the queues\n for queue in queue_list:\n\n # Check current load on the queue\n if len(queue[1]) < 10:\n tmp_str = \"squeue -M \" + queue[0] + \" -u \" + user_name + \" | grep '\" + queue[1] + \" ' | grep 'R\\|PD' | wc -l\"\n else:\n tmp_str = \"squeue -M \" + queue[0] + \" -u \" + user_name + \" | grep '\" + queue[1][0:9] + \" ' | grep 'R\\|PD' | wc -l\"\n queue_load = int(subprocess.Popen(tmp_str, shell=True, stdout=subprocess.PIPE).stdout.read())\n # Check for space on the queue for new jobs\n if queue_load < int(queue[2]):\n n_new_jobs = int(queue[2]) - queue_load\n if n_new_jobs > (int(queue[2]) / 2):\n quickcycle_flag = True\n if queue[3] == 'long':\n job_pool_type_list = ( 'long', 'short')\n elif queue[3] == 'short':\n job_pool_type_list = ('short',)\n else:\n sys.exit('Unknown queue type')\n\n job_counter = 0\n # Make a list of job source paths\n job_source_path_list = []\n for job_pool_type in job_pool_type_list:\n # Jobpool folders sorted by chronology of job_generation\n for folder in sorted(os.listdir(job_pool_path + '/' + job_pool_type)):\n # Job folders within a pool sorted by chronology of ease of calculation as done during generation phase\n for job in sorted(os.listdir(job_pool_path + '/' + job_pool_type + '/' + folder)):\n if job_counter == n_new_jobs:\n break\n tmp_str = job_pool_path + '/' + job_pool_type + '/' + folder + '/' + job\n if os.path.isdir(tmp_str):\n job_source_path_list.append(tmp_str)\n job_counter += 1\n\n # Goes through the list of jobs and moves the necessary job files into the corresponding scratch folders\n for job_source_path in job_source_path_list:\n #print (job_source_path)\n if len(job_source_path.split('/')) < 2:\n continue\n if len(job_source_path.split('/')[-2].split('_')) < 6:\n continue\n prog = job_source_path.split('/')[-2].split('_')[1]\n lib = \"\".join(job_source_path.split('/')[-2].split('_')[2:-3])\n job_no = job_source_path.split('/')[-2].split('_')[0] + '_' + job_source_path.split('/')[-1]\n j_no = job_source_path.split('/')[-1]\n slurm_script = project_name + '_' + prog + '_' + queue[1] + '.sh'\n \n while 1:\n job_target_path = scratch_path + '/%07d' % run_dir_counter\n if os.path.isdir(job_target_path):\n run_dir_counter += 1\n else:\n chk_mkdir(job_target_path)\n run_dir_counter += 1\n break\n tmp_str = 'mv ' + job_source_path + ' ' + job_target_path + '/' + job_no\n os.system(tmp_str)\n logfile.write(tmp_str + '\\n')\n tmp_str = 'mv ' + job_target_path + '/' + job_no + '/' + j_no + '.inp' + ' ' + job_target_path + '/' + job_no + '/' + prog + '.' + lib + '.' + job_no + '.inp'\n os.system(tmp_str)\n logfile.write(tmp_str + '\\n')\n\n # Move slurm script into job folder\n slurm_exists = False\n for root, directories, filenames in os.walk(job_target_path):\n for filename in fnmatch.filter(filenames, '*.sh'):\n if filename != None:\n slurm_exists = True\n slurm_script = os.path.join(root, filename)\n if slurm_exists:\n pass\n else:\n #tmp_str = 'cp ' + slurm_path + '/' + slurm_script + ' ' + job_target_path + '/' + job_no + '/'\n #os.system(tmp_str)\n slurm_file = job_target_path + '/' + job_no + '/' + slurm_script\n with open (slurm_path + '/' + slurm_script,'r') as temp:\n slurm_lines = temp.readlines()\n for i,line in enumerate(slurm_lines):\n if 'infile here' in line:\n slurm_lines[i] = 'export INFILE=' + prog + '.' + lib + '.' + job_no + '.inp\\n'\n elif 'outfile here' in line:\n slurm_lines[i] = 'export OUTFILE=' + prog + '.' + lib + '.' + job_no + '.out\\n'\n with open (slurm_file,'w') as temp_wr:\n temp_wr.writelines(slurm_lines)\n\n os.chdir(job_target_path + '/' + job_no)\n tmp_str = \"sed -i \\\"8i#SBATCH --job-name=\"+ prog + '.' + lib + '.' + job_no + \"\\\" \" + slurm_script\n os.system(tmp_str)\n\n # Submit job to the queue\n #os.environ[\"PATH\"] += os.pathsep + cwd + '/job_templates'\n tmp_str = 'sbatch ' + slurm_script\n job_class_list.append(prog+ '.' + lib + '.' + job_no)\n job_class_list[-1]=Job(job_class_list[-1], queue[0])\n job_class_list[-1].slurm_submit_id(tmp_str)\n\n job = job_class_list[-1]\n tmp_str = str(job.name) + ',' + str(job.cluster) + ',' + str(job.path) + ',' + str(job.slurm_id) + '\\n'\n #print (tmp_str)\n job_logfile.write(tmp_str)\n tmp_str = std_datetime_str() + \": Submitting \" + prog + '.' + lib + '.' + job_no + ' at ' + job_target_path + '/' + job_no\n logfile.write(tmp_str + '\\n\\n')\n\n os.chdir(cwd)\n job_logfile.flush()\n job_logfile.close()\n # TODO: Need to process finished jobs still\n\n if quickcycle_flag:\n time.sleep(60)\n job_class_list = check_jobs(user_name, scratch_path, result_path, problem_path, job_class_list)\n #counter = counter + 1\n if jobs_length != len(job_class_list):\n print (\"Jobs running at: \" + std_datetime_str())\n jobs_length = len(job_class_list)\n tmp_str = \"cp job_tracker.log job_tracker_old.log\"\n os.system(tmp_str)\n job_trackfile = open('job_tracker.log', 'w')\n for job in job_class_list:\n tmp_str = str(job.name) + ',' + str(job.cluster) + ',' + str(job.path) + ',' + str(job.slurm_id) + '\\n' \n job_trackfile.write(tmp_str)\n print(tmp_str.strip('\\n'))\n job_trackfile.flush()\n job_trackfile.close()\n else:\n time.sleep(500)\n job_class_list = check_jobs(user_name, scratch_path, result_path, problem_path, job_class_list)\n #counter = counter + 1\n if jobs_length != len(job_class_list):\n print (\"Jobs running at: \" + std_datetime_str())\n jobs_length = len(job_class_list)\n tmp_str = \"cp job_tracker.log job_tracker_old.log\"\n os.system(tmp_str)\n job_trackfile = open('job_tracker.log', 'w')\n for job in job_class_list:\n tmp_str = str(job.name) + ',' + str(job.cluster) + ',' + str(job.path) + ',' + str(job.slurm_id) + '\\n' \n job_trackfile.write(tmp_str)\n print(tmp_str.strip('\\n'))\n job_trackfile.flush()\n job_trackfile.close()\n\n # end of run section (Note: since we use an endless loop, we will probably never use the regular exit)\n tmp_str = \"------------------------------------------------------------------------------ \"\n print (tmp_str)\n logfile.write(tmp_str + '\\n')\n\n tmp_str = tot_exec_time_str(time_start) + '\\n' + std_datetime_str()\n print (tmp_str + '\\n\\n\\n')\n logfile.write(tmp_str + '\\n\\n\\n')\n logfile.close()\n error_file.close()\n\n # Check whether error files contain anything\n chk_rmfile(error_file)\n\n return 0","def run_test(self):\n\n # populate *_ps sets\n self.enter_project_file()\n\n # populate *_dir sets\n self.enter_directories()\n\n # The files in the directories makes up the largest possible set of files\n self.result_files = self.result_files_dir\n self.design_files = self.design_files_dir\n self.design_space_files = self.design_space_files_dir\n self.test_bench_files = self.test_bench_files_dir\n\n # populate *_ms sets\n self.enter_meta_results_file()\n\n # populate *_OK sets\n self.check_analysis_status()\n\n df = {'design_files_dir' : list(self.design_files_dir),'design_files_pr' : list(self.design_files_pr),\n 'design_files_ms' : list(self.design_files_ms), 'design_files_OK' : list(self.design_files_OK)}\n\n ds = {'design_space_files_dir' : list(self.design_space_files_dir),\n 'design_space_files_pr' : list(self.design_space_files_pr)}\n\n rs = {'result_files_dir' : list(self.result_files_dir), 'result_files_ms' : list(self.result_files_ms),\n 'result_files_OK' : list(self.result_files_OK)}\n\n tb = {'test_bench_files_dir' : list(self.test_bench_files_dir),\n 'test_bench_files_ms' : list(self.test_bench_files_ms)}\n\n srl = SummaryReportsLinks(self.result_files_dir)\n\n lf = {'files_linked_from_sum_reps' : srl.get_files(),\n 'folders_linked_from_sum_reps' : srl.get_folders()}\n\n # 'test_bench_files_pr' : list(self.test_bench_files_pr),\n \n json_test = {'design_files' : df, 'design_space_files' : ds, 'result_files' : rs,\n 'test_bench_files' : tb, 'stat_files' : self.stat_files,\n 'files_linked_from_sum_reps' : lf}\n\n with open('test_run.json','wb') as f_out:\n json.dump(json_test, f_out, indent=4)","def __call__(self, path):\n\n # Iterates through a directory of raw sources and builds staging databases\n databases = self.process(path)\n\n # Output database file\n qafile = os.path.join(path, \"questions.db\")\n\n # Build consolidated SQLite questions database\n db2qa = DB2QA()\n db2qa(databases, qafile)","def main(unused_argv):\n make_dir(FLAGS.raw_dir)\n\n # Get paths of download/extracted training and evaluation files.\n print(\"Downloading data from source\")\n train_files = get_raw_files(FLAGS.raw_dir, constants.TRAIN_DATA_SOURCES)\n eval_files = get_raw_files(FLAGS.raw_dir, constants.EVAL_DATA_SOURCES)","def pre_testing(predictor_exe, parameters_xml, test_param, queries):\n\n run('mkdir -v tmp-testing', shell=True)\n pred = 'Fiana' if 'Fiana' in predictor_exe else 'Anna'\n run('mkdir -v tmp-testing/clarity-{}'.format(pred), shell=True)\n print('The temporary files will be saved in the directory tmp-testing')\n for i in PARAMS:\n print('\\n ******** Running for: {} documents ******** \\n'.format(i))\n output = 'tmp-testing/clarity-{}/predictions-{}'.format(pred, i)\n run('{} {} -{}={} {} > {}'.format(predictor_exe, parameters_xml, test_param, i,\n queries, output), shell=True)","def main():\n tpd_file_name = get_nonexisting_file(\"Enter name of new tpd file: \")\n tpd = TrainPredictData(tpd_file_name)\n\n print \"You can now enter the file paths of the the newly created tpd file.\"\n print \"If you want to skip a data set, just press enter without typing anything.\"\n\n train_raw_path = get_existing_file(\"Enter training raw path: \", skip=True)\n if train_raw_path is not None:\n train_raw_key = extract_h5_key(train_raw_path, \"Enter training raw h5 key: \")\n tpd.set_train_raw(train_raw_path, train_raw_key)\n\n train_gt_path = get_existing_file(\"Enter training gt path: \", skip=True)\n if train_gt_path is not None:\n train_gt_key = extract_h5_key(train_gt_path, \"Enter training gt h5 key: \")\n tpd.set_train_gt(train_gt_path, train_gt_key)\n\n train_pred_path = get_existing_file(\"Enter training pred path: \", skip=True)\n if train_pred_path is not None:\n train_pred_key = extract_h5_key(train_pred_path, \"Enter training pred h5 key: \")\n tpd.set_train_pred(train_pred_path, train_pred_key)\n\n train_feat_path = get_existing_file(\"Enter training feature path: \", skip=True)\n while train_feat_path is not None:\n train_feat_key = extract_h5_key(train_feat_path, \"Enter training feature path: \")\n tpd.add_train_feature(train_feat_path, train_feat_key)\n train_feat_path = get_existing_file(\"Enter training feature path: \", skip=True)\n\n test_raw_path = get_existing_file(\"Enter test raw path: \", skip=True)\n if test_raw_path is not None:\n test_raw_key = extract_h5_key(test_raw_path, \"Enter test raw h5 key: \")\n tpd.set_test_raw(test_raw_path, test_raw_key)\n\n test_gt_path = get_existing_file(\"Enter test gt path: \", skip=True)\n if test_gt_path is not None:\n test_gt_key = extract_h5_key(test_gt_path, \"Enter test gt h5 key: \")\n tpd.set_test_gt(test_gt_path, test_gt_key)\n\n test_pred_path = get_existing_file(\"Enter test pred path: \", skip=True)\n if test_pred_path is not None:\n test_pred_key = extract_h5_key(test_pred_path, \"Enter test pred h5 key: \")\n tpd.set_test_pred(test_pred_path, test_pred_key)\n\n test_feat_path = get_existing_file(\"Enter test feature path: \", skip=True)\n while test_feat_path is not None:\n test_feat_key = extract_h5_key(test_feat_path, \"Enter test feature path: \")\n tpd.add_test_feature(test_feat_path, test_feat_key)\n test_feat_path = get_existing_file(\"Enter test feature path: \", skip=True)\n\n return 0","def begin(self):\n\n env = self.context.lookup(\"/environment\")\n\n self._test_results_dir = env[\"output_directory\"]\n self._starttime = env[\"starttime\"]\n self._runid = env[\"runid\"]\n\n self._result_filename = os.path.join(self._test_results_dir, \"testrun_results.jsos\")\n self._summary_filename = os.path.join(self._test_results_dir, \"testrun_summary.json\")\n self._import_errors_filename = os.path.join(self._test_results_dir, \"import_errors.jsos\")\n\n return","def main():\r\n run_processes('tests.csv', 'labs.csv')","def run():\n users_dir = str(Path(CONTAINER_MEDIA_DIR, 'users'))\n semester = get_latest_semester()\n files = [join(users_dir, f) for f in listdir(users_dir) if isfile(join(users_dir, f))]\n\n users = set()\n courses = set()\n users_to_courses = defaultdict(list)\n\n for file_path in files:\n _, extension = splitext(file_path)\n\n if extension == '.csv':\n _read_csv(file_path, semester, users, courses, users_to_courses)\n elif extension == '.xls' or extension == '.xlsx':\n _read_excel(file_path, semester, users, courses, users_to_courses)\n _move_to_inserted_directory(file_path)\n _insert_data(users, courses, users_to_courses)","def test(self, cmdline):\n\n if tm.UPDATE_BEFORE_TEST:\n print \"Updating directory of source ...\"\n mu.update_dir(tm.SOURCE_DIR)\n\n args = mu.get_second_arg(cmdline).strip().split()\n if len(args) == 0:\n print \"Invalid command, test [sourcename] ([maxThread] ([pageLimit]))\"\n return\n elif len(args) == 1:\n self.sourcename, = args\n self.max_thread = '5'\n self.page_limit = '2'\n elif len(args) == 2:\n self.sourcename, self.max_thread = args\n self.page_limit = '2'\n elif len(args) == 3:\n self.sourcename, self.max_thread, self.page_limit = args\n\n print \"Searching directory of %s ...\" % self.sourcename\n self.sourcedir = mu.search_for_source(self.sourcename)\n if not self.sourcedir:\n print \"Directory of %s doesn't exist.\\n\" % self.sourcename\n return\n\n self.sourcetype = self.get_source_type()\n if self.sourcetype == 'blog':\n process = BlogProcess(self.sourcename, self.sourcedir)\n config_files = ('%s.xq' % self.sourcename, 'config.xml', 'globalConfig.xml', 'subSourceConfig.xml')\n elif self.sourcetype == 'forum':\n process = ForumProcess(self.sourcename, self.sourcedir, string.atoi(self.max_thread), self.page_limit)\n config_files = ('%s-url.xq' % self.sourcename, '%s-thread.xq' % self.sourcename, 'finished.xml', 'webForumConfiguration.xml')\n self.test_source(process, self.sourcedir, config_files)","def do_analysis(ckpt, queries_type, entities_type, request):\n global currently_analyzing, results, d, analysis_user\n try:\n print(\"starting analysis!\")\n if entities_type == \"all\":\n print(\"using all entities detected!\")\n elif entities_type == \"uploaded\":\n print(\"using only entities specified in csv file!\")\n \n currently_analyzing = True\n analysis_user = request.user.username\n results = []\n proj_path = os.path.abspath(os.path.dirname(__file__)).split(\"FYP_Web_App\")[0]\n ckpt = proj_path + \"FewRel/checkpoint/\" + ckpt\n if d is None or d.ckpt_path != ckpt:\n d = DetectionFramework(ckpt_path=ckpt)\n if cancel_flag[0]:\n return\n d.clear_support_queries()\n if len([i for i in os.listdir(\"temp/relation_support_datasets\") if 'csv' in i and request.user.username in i]) == 0:\n raise ValueError(\"Please upload relation support dataset!\")\n \n d.load_support_files(\"temp/relation_support_datasets\", request.user.username)\n if queries_type == \"csv_option\":\n if not os.path.exists(\"temp/queries.csv\"):\n raise ValueError(\"Please upload query CSV dataset!\")\n d.load_queries_csv(\"temp/queries.csv\")\n \n elif queries_type == \"url_option\":\n if not os.path.exists(\"temp/url.txt\"):\n raise ValueError(\"Please specify news article url!\")\n with open(\"temp/url.txt\") as f:\n url = f.read()\n d.load_url(url)\n \n elif queries_type == \"txt_option\":\n d.load_text_files(os.path.abspath(\"temp/text_files\"))\n \n elif queries_type == \"ind_sentence_option\":\n ind_sentence = request.POST.get('ind_sent')\n d.load_ind_sentence(ind_sentence)\n \n elif queries_type == \"html_option\":\n d.load_html_file_queries(os.path.abspath(\"temp/html_files\"))\n \n if entities_type == \"uploaded\":\n d.trim_queries_based_on_entities_file(os.path.abspath(\"temp/entities_csv_file.csv\"))\n\n if cancel_flag[0]:\n return\n d.detect(rt_results=results, cancel_flag=cancel_flag)\n if cancel_flag[0]:\n return\n src=None\n if queries_type == \"csv_option\":\n src = \"queries_csv\"\n elif queries_type == \"txt_option\":\n src = \"queries_text_file\"\n elif queries_type == \"ind_sentence_option\":\n src = \"ind_sentence\"\n elif queries_type == \"url_option\":\n with open(\"temp/url.txt\") as f:\n src = f.read()\n elif queries_type == \"html_option\":\n src = \"html_files\"\n \n s = Source(source=src, user=request.user)\n s.save()\n for r in results:\n er = ExtractedRelation(sentence=r['sentence'],head=r['head'],tail=r['tail'],pred_relation=r['pred_relation'],sentiment=r['sent'],conf=r['conf'],ckpt=ckpt, source=s)\n er.save()\n except Exception as e:\n print(len(str(e)))\n print(str(e))\n errors.append(str(e))\n tb = traceback.format_exc()\n print(tb)\n finally:\n currently_analyzing = False\n analysis_user = None","def runTest(self):\n # TODO: this should be split into multiple tests\n pagename = self._tester.create_wiki_page()\n self._tester.attach_file_to_wiki(pagename)","def _pre_tasks(self, body, work_dir):\n # Check for custom information\n # Check if its bulk provisioning... os key is available in bulk mode\n if body.get('os'):\n _ks = map(lambda x: x.get('kickstart'), body['os'])\n self._copy_files_to_server(body, 'kickstart', _ks, work_dir)\n\n _cs = map(lambda x: x.get('custom_script'), body['os'])\n self._copy_files_to_server(body, 'custom_script', _cs, work_dir)\n else:\n # Check if user has custom kickstart and script\n if body.get('kickstart'):\n _ks = body.get('kickstart')\n self._copy_files_to_server(body, 'kickstart', _ks, work_dir)\n\n if body.get('custom_script'):\n _cs = body.get('custom_script')\n self._copy_files_to_server(body, 'custom_script', _cs, work_dir)\n\n flag = True if body.get('os', None) else False\n\n return self._generate_xml(body, work_dir, flag)","def setup(parser):\n global debug\n global config\n global file_list\n global job_sets\n global from_saved_state\n\n args = parser.parse_args()\n\n if args.debug:\n debug = True\n print_message('Running in debug mode', 'ok')\n\n # read through the config file and setup the config dict\n config = {}\n if not args.config:\n parser.print_help()\n sys.exit()\n else:\n try:\n confParse = ConfigParser.ConfigParser()\n confParse.read(args.config)\n for section in confParse.sections():\n config[section] = {}\n for option in confParse.options(section):\n opt = confParse.get(section, option)\n if not opt:\n if 'pass' in option and not args.no_monitor:\n opt = getpass('>> ' + option + ': ')\n else:\n opt = raw_input('>> ' + option + ': ')\n if opt.startswith('[') or opt.startswith('{'):\n opt = json.loads(opt)\n config[section][option] = opt\n except Exception as e:\n msg = 'Unable to read config file, is it properly formatted json?'\n print_message(msg)\n print_debug(e)\n return -1\n\n if args.no_ui:\n config['global']['ui'] = False\n else:\n debug = False\n config['global']['ui'] = True\n\n if args.dry_run:\n config['global']['dry_run'] = True\n else:\n config['global']['dry_run'] = False\n\n if args.no_cleanup:\n config['global']['no_cleanup'] = True\n else:\n config['global']['no_cleanup'] = False\n\n if args.no_monitor:\n config['global']['no_monitor'] = True\n print \"Turning off remote monitoring\"\n else:\n config['global']['no_monitor'] = False\n \n if args.size:\n config['transfer']['size'] = args.size\n else:\n config['transfer']['size'] = 100\n \n if args.viewer:\n print 'Turning on output_viewer mode'\n config['global']['viewer'] = True\n else:\n config['global']['viewer'] = False\n\n # setup config for file type directories\n for key, val in config.get('global').get('output_patterns').items():\n new_dir = os.path.join(\n config['global']['data_cache_path'],\n key)\n if not os.path.exists(new_dir):\n os.makedirs(new_dir)\n if val == 'mpaso.hist.am.timeSeriesStatsMonthly':\n config['global']['mpas_dir'] = new_dir\n elif val == 'mpascice.hist.am.timeSeriesStatsMonthly':\n config['global']['mpas_cice_dir'] = new_dir\n elif val == 'cam.h0':\n config['global']['atm_dir'] = new_dir\n elif val == 'mpaso.rst.0':\n config['global']['mpas_rst_dir'] = new_dir\n elif val == 'rpointer':\n config['global']['rpt_dir'] = new_dir\n elif val == 'mpas-o_in':\n config['global']['mpas_o-in_dir'] = new_dir\n elif val == 'mpas-cice_in':\n config['global']['mpas_cice-in_dir'] = new_dir\n elif 'stream' in val:\n config['global']['streams_dir'] = new_dir\n\n if not os.path.exists(config['global']['output_path']):\n os.makedirs(config['global']['output_path'])\n if not os.path.exists(config['global']['data_cache_path']):\n os.makedirs(config['global']['data_cache_path'])\n\n # setup run_scipts_path\n config['global']['run_scripts_path'] = os.path.join(\n config['global']['output_path'],\n 'run_scripts')\n # setup tmp_path\n config['global']['tmp_path'] = os.path.join(\n config['global']['output_path'],\n 'tmp')\n\n # setup logging\n if args.log:\n log_path = args.log\n else:\n log_path = os.path.join(\n config.get('global').get('output_path'),\n 'workflow.log')\n logging.basicConfig(\n format='%(asctime)s:%(levelname)s: %(message)s',\n datefmt='%m/%d/%Y %I:%M:%S %p',\n filename=log_path,\n filemode='w',\n level=logging.DEBUG)\n\n endpoints = [config['transfer']['source_endpoint'], config['transfer']['destination_endpoint']]\n if not setup_globus(endpoints):\n return -1\n print 'Globus setup complete'\n return config","def grade_submission(submission: str, test_case: str, equation=\"100*(p/t)-m-10*l\", hourslate=0) -> GradedSubmission:\n\n user_submission = Submission(submission) # this holds the path to the zip file\n submission_testcases = TestCase(test_case)\n user_submission.setup() # unzips submission into a folder and sets folder path\n\n submission_testcases.copyfiles(user_submission.submission_folder_path) # copies prof files to submission dir\n\n pointslist, user_feedback = grade(user_submission.submission_folder_path) # grades submission and gets point values\n\n if pointslist is None: # returns none if there was something wrong when grading (student side)\n return GradedSubmission(0, user_feedback)\n\n pointslist.append(hourslate) # append hourslate to the grading points list\n\n user_submission.clean_up() # deletes copied files\n\n return GradedSubmission(calculate_grade(pointslist, equation), user_feedback)","def main(_):\n\n if FLAGS.output_dir is not None:\n if not tf.gfile.Exists(FLAGS.output_dir):\n print('[INFO ]\\tOutput directory does not exist, creating directory: ' + os.path.abspath(FLAGS.output_dir))\n tf.gfile.MakeDirs(FLAGS.output_dir)\n \n evaluate()","def prepare_run(self, **kwargs):\n assert self.cloud\n LOGGER.debug('Validating run tests...')\n for test in kwargs.get('tests', self.stests):\n if test in self.stests:\n self.tests.append(test)\n else:\n raise Exception(f\"Test name '{test}' is invalid\")\n\n if not os.path.exists(self.task_dir):\n os.makedirs(self.task_dir)\n\n task = os.path.join(self.rally_dir, 'task.yaml')\n if not os.path.exists(task):\n LOGGER.error(\"Task file '%s' does not exist.\", task)\n raise Exception(f\"Task file '{task}' does not exist.\")\n self.task_file = os.path.join(self.task_dir, 'task.yaml')\n shutil.copyfile(task, self.task_file)\n\n task_macro = os.path.join(self.rally_dir, 'macro')\n if not os.path.exists(task_macro):\n LOGGER.error(\"Task macro dir '%s' does not exist.\", task_macro)\n raise Exception(f\"Task macro dir '{task_macro}' does not exist.\")\n macro_dir = os.path.join(self.task_dir, 'macro')\n if os.path.exists(macro_dir):\n shutil.rmtree(macro_dir)\n shutil.copytree(task_macro, macro_dir)\n\n self.update_keystone_default_role()\n self.compute_cnt = self.count_hypervisors()\n self.network_extensions = self.cloud.get_network_extensions()\n self.flavor_alt = self.create_flavor_alt()\n self.services = [service.name for service in\n functest_utils.list_services(self.cloud)]\n\n LOGGER.debug(\"flavor: %s\", self.flavor_alt)","def main(unused_argv):\n\n # Create tokenizer based on the training files.\n logging.info(\"Step 1: Loading tokenizer\")\n train_en = FLAGS.data_dir+'/EN_TRAIN_CORPUS_NAME'\n val_en = FLAGS.data_dir+'/EN_VAL_CORPUS_NAME'\n\n VOCAB_FILE = \"VOCAB_NAME\" \n vocab_file = os.path.join(FLAGS.data_dir, VOCAB_FILE)\n subtokenizer = tokenizer.Subtokenizer.init_from_files(\n vocab_file, [train_en], _TARGET_VOCAB_SIZE, _TARGET_THRESHOLD,\n min_count=None if FLAGS.search else _TRAIN_DATA_MIN_COUNT)\n\n compiled_train_files = (train_en, train_en)\n compiled_eval_files = (val_en, val_en)\n\n # Tokenize and save data as Examples in the TFRecord format.\n logging.info(\"Step 3: Preprocessing and saving data\")\n train_tfrecord_files = encode_and_save_files(\n subtokenizer, FLAGS.data_dir, compiled_train_files, _TRAIN_TAG,\n _TRAIN_SHARDS)\n encode_and_save_files(\n subtokenizer, FLAGS.data_dir, compiled_eval_files, _EVAL_TAG,\n _EVAL_SHARDS)\n\n for fname in train_tfrecord_files:\n shuffle_records(fname)","def test_execute_review_6(self):\n review.execute_review(self.alchemist, self.test_dir,\n self.review_test_dir.name,\n g_reports=True)\n\n self.assertTrue(self.review_test_dir.is_dir())\n\n gene_report_dir = self.review_test_dir.joinpath(\"GeneReports\")\n self.assertTrue(gene_report_dir.is_dir())","def test_launch(self):\n\n\n username,userpass = self.testdata.find_account_for('toolsubmitter')\n\n self.utils.account.login_as(username,userpass)\n\n self.contribtool.launch(TOOLNAME,username,userpass)","def main(workdir):\n dir = os.path.expanduser(workdir)\n \n #read the .dat file\n f = open('{}smi.dat'.format(dir))\n par = imp.load_source('par', '', f)\n \n #make a sdf file for visualization\n output = pybel.Outputfile(\"sdf\", dir + \"species.sdf\",overwrite=True)\n for name in par.smiles:\n smi = par.smiles[name]\n obmol = pybel.readstring(\"smi\",smi)\n output.write(obmol)\n output.close()\n \n #list with the jobs that need to be done\n jobs = []\n \n #iterate the input files\n for name in par.smiles:\n #name = input_file.replace('.inp','') #name of the calculation\n test_dir = dir + name #location where the calculations will be done\n if not os.path.exists(test_dir):\n os.mkdir(test_dir)\n \n #copy the input file to the working directory\n write_input_file(par,name,par.smiles[name],test_dir + '/input.inp')\n job = workdir + name + '/'\n jobs.append(job)\n \n run_threads(jobs, 'eric', max_running = 3)","def main():\n\n parser = argparse.ArgumentParser(description='Duolingo shared task baseline model')\n parser.add_argument('--train', help='Training file name', required=True)\n parser.add_argument('--test', help='Test file name, to make predictions on', required=True)\n parser.add_argument('--pred', help='Output file name for predictions, defaults to test_name.pred')\n args = parser.parse_args()\n\n if not args.pred:\n args.pred = args.test + '.pred'\n\n assert os.path.isfile(args.train)\n assert os.path.isfile(args.test)\n\n # Assert that the train course matches the test course\n assert os.path.basename(args.train)[:5] == os.path.basename(args.test)[:5]\n\n training_data, training_labels = load_data(args.train)\n test_data = load_data(args.test)\n\n ####################################################################################\n # Here is the delineation between loading the data and running the baseline model. #\n # Replace the code between this and the next comment block with your own. #\n ####################################################################################\n\n\n vectorizer = DictVectorizer()\n X_train = [instance_data.to_features() for instance_data in training_data]\n Y_train = [training_labels[instance_data.instance_id] for instance_data in training_data]\n ids_train = [instance_data.instance_id for instance_data in training_data]\n\n X_test = [instance_data.to_features() for instance_data in test_data]\n ids_test = [instance_data.instance_id for instance_data in test_data]\n\n\n X_train = vectorizer.fit_transform(X_train)\n clf = LogisticRegression()\n clf.fit(X_train,Y_train)\n\n X_test = vectorizer.transform(X_test)\n preds_scores = [x[0] for x in clf.predict_proba(X_test)]\n predictions = dict([(instance_id,pred_score) for instance_id,pred_score in zip(ids_test,preds_scores)])\n\n ####################################################################################\n # This ends the baseline model code; now we just write predictions. #\n ####################################################################################\n\n with open(args.pred, 'wt') as f:\n for instance_id, prediction in iteritems(predictions):\n f.write(instance_id + ' ' + str(prediction) + '\\n')","def _prepare_test_cases(ptfhost, request):\n logger.info(\"Preparing SAI test environment.\")\n _create_sai_test_folders(ptfhost)\n _copy_sai_test_cases(ptfhost, request)","def upload_submission(request, learner, trigger, no_thumbnail=True):\n base_dir_for_file_uploads = settings.MEDIA_ROOT\n thumbnail_file_name_django = ''\n entry_point = trigger.entry_point\n\n files = request.FILES.getlist('file_upload', None)\n if files is None:\n return None\n\n # Is the storage space reachable?\n deepest_dir = base_dir_for_file_uploads + 'uploads/{0}/tmp/'.format(\n entry_point.id)\n\n try:\n os.makedirs(deepest_dir)\n except OSError:\n if not os.path.isdir(deepest_dir):\n logger.error('Cannot create directory for upload: {0}'.format(\n deepest_dir))\n raise\n\n if len(files) == 1:\n filename = files[0].name\n extension = filename.split('.')[-1].lower()\n submitted_file_name_django = 'uploads/{0}/{1}'.format(entry_point.id,\n generate_random_token(token_length=16) + '.' + extension)\n full_path = base_dir_for_file_uploads + submitted_file_name_django\n with open(full_path, 'wb+') as dst:\n for chunk in files[0].chunks():\n dst.write(chunk)\n\n\n f_size = os.path.getsize(full_path)\n if f_size > trigger.max_file_upload_size_MB * 1024 * 1024:\n logger.warning('File too large {0}'.format(\n submitted_file_name_django))\n return None, ('File too large ({0} MB); it must be less than '\n '{1} MB.'.format(round(float(f_size/1024.0/1024.0), 1),\n trigger.max_file_upload_size_MB))\n\n\n else: #if trigger.allow_multiple_files: this is removed for now\n filename = ''\n extension = ''\n submitted_file_name_django = ''\n full_path = ''\n\n\n # Check that the file format is PDF, if that is required.\n strike1 = False\n if 'pdf' in trigger.accepted_file_types_comma_separated.lower() and \\\n extension in ('pdf',):\n try:\n mime = magic.from_file(full_path, mime=True)\n if not(isinstance(mime, str)):\n mime = mime.decode('utf-8')\n except Exception as exp:\n logger.error('Could not determine MIME type: ' + str(exp))\n mime = ''\n strike1 = True\n\n if 'application/pdf' not in mime.lower():\n strike1 = True\n\n if strike1:\n logger.debug('Invalid PDF upload: {0} [{1}]'.format(mime,\n full_path))\n #return None, 'Invalid file uploaded. Uploaded file must be a PDF.'\n\n doc = PdfFileReader(full_path)\n if doc.isEncrypted:\n logger.debug('Encrypted PDF upload: {0}'.format(full_path))\n return None, ('An encrypted PDF cannot be uploaded. Please remove '\n 'the encryption and try again.')\n\n\n strike1 = False\n if (('jpeg' in trigger.accepted_file_types_comma_separated.lower()) or \\\n ('jpg' in trigger.accepted_file_types_comma_separated.lower())) and \\\n extension in ('jpg', 'jpeg'):\n\n try:\n mime = magic.from_file(full_path, mime=True)\n if not(isinstance(mime, str)):\n mime = mime.decode('utf-8')\n except Exception as exp:\n logger.error('Could not determine MIME type: ' + str(exp))\n mime = ''\n strike1 = True\n\n if 'image/jpeg' not in mime.lower():\n strike1 = True\n\n if strike1:\n logger.debug('Invalid JPG upload: {0} [{1}]'.format(mime,\n full_path))\n return None, ('Invalid file. Uploaded image should be a valid '\n 'and readable JPEG file.')\n\n\n strike1 = False\n if ('png' in trigger.accepted_file_types_comma_separated.lower()) and \\\n extension in ('png',):\n\n try:\n mime = magic.from_file(full_path, mime=True)\n if not(isinstance(mime, str)):\n mime = mime.decode('utf-8')\n except Exception as exp:\n logger.error('Could not determine MIME type: ' + str(exp))\n mime = ''\n strike1 = True\n\n if 'image/png' not in mime.lower():\n strike1 = True\n\n if strike1:\n logger.debug('Invalid PNG upload: {0} [{1}]'.format(mime,\n full_path))\n return None, ('Invalid file. Uploaded image should be a valid '\n 'and readable PNG file.')\n\n\n strike2 = False\n if extension.lower() not in \\\n trigger.accepted_file_types_comma_separated.lower():\n logger.debug('Invalid file type upload: received \".{0}\"; [{1}]'.format(\\\n extension, full_path))\n return None, ('Invalid file uploaded. Uploaded file must be: {}'.format(\\\n trigger.accepted_file_types_comma_separated))\n\n\n if trigger == entry_point:\n # In some instances we don't use triggers, just entry_points\n prior = Submission.objects.filter(status='S',\n submitted_by=learner,\n entry_point=entry_point,\n is_valid=True\n )\n else:\n prior_indiv = Q(status='S', submitted_by=learner, entry_point=entry_point,\n trigger=trigger, is_valid=True)\n\n # We need this here, but also for the code later in the next\n # if (trigger==entry_point) part\n\n # Default returned by this function is ``None`` if the user is not\n # enrolled in a group, or if this course simply does not use groups.\n group_submitted = is_group_submission(learner, entry_point)\n if is_group_submission(learner, entry_point):\n group_submitted = group_submitted.group\n\n prior_group = Q(status='S', group_submitted=group_submitted,\n entry_point=entry_point, trigger=trigger,\n is_valid=True)\n else:\n prior_group = Q()\n\n prior = Submission.objects.filter(prior_indiv | prior_group)\n\n\n for item in prior:\n logger.debug(('Setting prior submission to False: {0} and name '\n '\"{1}\"'.format(str(item), item.submitted_file_name)))\n item.is_valid = False\n item.save()\n\n\n if trigger == entry_point:\n # In some instances we don't use triggers, just entry_points\n sub = Submission(submitted_by=learner,\n group_submitted=None,\n status='S',\n entry_point=entry_point,\n is_valid=True,\n file_upload=submitted_file_name_django,\n thumbnail=thumbnail_file_name_django,\n submitted_file_name=filename,\n ip_address=get_IP_address(request),\n )\n sub.save()\n else:\n\n sub = Submission(submitted_by=learner,\n group_submitted=group_submitted,\n status='S',\n entry_point=entry_point,\n trigger=trigger,\n is_valid=True,\n file_upload=submitted_file_name_django,\n thumbnail=thumbnail_file_name_django,\n submitted_file_name=filename,\n ip_address=get_IP_address(request),\n )\n sub.save()\n\n if 'pdf' in trigger.accepted_file_types_comma_separated.lower() and \\\n extension in ('pdf',):\n clean_PDF(sub)\n\n return sub","def execute():\r\n arcpy.AddMessage(\"START BCA Processing\")\r\n arcpy.env.workspace = config.temp_data_gdb\r\n arcpy.env.overwriteOutput = True\r\n sys.path.append(config.notif_system_script_folder)\r\n\r\n # Other Variables\r\n arcpy.AddMessage(\"Import toolbox\")\r\n arcpy.ImportToolbox(config.notif_toolbox)\r\n REGEX_FOR_INVALID_CHARS = re.compile(r'[^0-9a-zA-Z]+')\r\n todayDate = datetime.datetime.now().strftime(\"%Y%m%d\")\r\n logFile = file(\r\n config.report_processing_log + \"\\\\\" + todayDate + \"_NotificationSystemLog\" + \".txt\", \"a\")\r\n\r\n\r\n # get all unzipped files uploaded to shared folder\r\n configfiles = [os.path.join(dirpath, f)\r\n for dirpath, dirnames, files in os.walk(config.SharedFolder)\r\n for f in files if f.endswith('.csv') or f.endswith('.xls') or f.endswith('.xlsx') or f.endswith('.XLS')]\r\n\r\n correct_config_files = [f for f in configfiles if \"\\BCAWeeklyPermitReport\\\\\" in f]\r\n\r\n # PREPARE workspace\r\n arcpy.AddMessage(\"Preparing workspace...\")\r\n for BCAreport in correct_config_files:\r\n\r\n input_file_name = BCAreport.split(\"\\\\\")[-1]\r\n\r\n MukimConstruct = arcpy.SearchCursor(config.MukimConstructSource)\r\n PermitDateExists = False\r\n\r\n for row in MukimConstruct:\r\n aux = input_file_name[:8]\r\n if \"CORRECTED\" not in BCAreport.upper():\r\n filedate = datetime.datetime.strptime(aux, \"%Y%m%d\")\r\n else:\r\n clean_filename = input_file_name.split(\".\")[0]\r\n filedate = datetime.datetime.strptime(clean_filename[-8:], \"%Y%m%d\")\r\n if filedate == row.PERMIT_DATE and \"CORRECTED\" not in BCAreport.upper():\r\n PermitDateExists = True\r\n break\r\n if PermitDateExists and \"CORRECTED\" not in BCAreport.upper():\r\n PermitDateExistsLog = file(\r\n config.ErrorLogFolder + \"\\\\\" + input_file_name.split(\".\")[0] +\r\n \" file's Permit Date already exists\" + \".log\",\r\n \"a\")\r\n PermitDateExistsLog.write(\r\n \"Permit Date for the file \" + input_file_name + \" already exists in Mukim Construct at \" + str(\r\n datetime.datetime.now()))\r\n logFile.writelines(\r\n \"Permit Date for the file \" + input_file_name + \" already exists in Mukim Construct at \" + str(\r\n datetime.datetime.now()) + \"\\n\")\r\n\r\n else:\r\n\r\n # 00. Creation of geodatabases that will serve as workspaces\r\n logFile.writelines(\"00 Creation of temp gdb starts at \" + str(datetime.datetime.now()) + \"\\n\")\r\n\r\n if arcpy.Exists(config.TempDataGDB):\r\n arcpy.Delete_management(config.TempDataGDB)\r\n arcpy.CreateFileGDB_management(config.Notification, \"Temp_data.gdb\")\r\n else:\r\n arcpy.CreateFileGDB_management(config.Notification, \"Temp_data.gdb\")\r\n\r\n if arcpy.Exists(config.SDEDataGDB):\r\n arcpy.Delete_management(config.SDEDataGDB)\r\n arcpy.CreateFileGDB_management(config.Notification, \"Source.gdb\")\r\n else:\r\n arcpy.CreateFileGDB_management(config.Notification, \"Source.gdb\")\r\n\r\n if arcpy.Exists(config.CurrentMukimConstructDataGDB):\r\n arcpy.Delete_management(config.CurrentMukimConstructDataGDB)\r\n arcpy.CreateFileGDB_management(config.Notification, \"Final_data.gdb\")\r\n else:\r\n arcpy.CreateFileGDB_management(config.Notification, \"Final_data.gdb\")\r\n\r\n logFile.writelines(\"00 Creation of temp gdb ends at \" + str(datetime.datetime.now()) + \"\\n\")\r\n\r\n # 01. Import the base data\r\n logFile.writelines(\"01 Import of base data starts at \" + str(datetime.datetime.now()) + \"\\n\")\r\n arcpy.FeatureClassToFeatureClass_conversion(config.MukimConstructSource, config.CurrentMukimConstructDataGDB,\r\n \"MUKIM_CONSTRUCT\", \"\", \"\", \"\")\r\n arcpy.FeatureClassToFeatureClass_conversion(config.MukimConstructByProjSource, config.CurrentMukimConstructDataGDB,\r\n \"MUKIM_CONSTRUCT_BYPROJ\", \"\", \"\", \"\")\r\n arcpy.FeatureClassToFeatureClass_conversion(config.DepotSource, config.SDEDataGDB, \"DepotBoundary\", \"\", \"\", \"\")\r\n arcpy.FeatureClassToFeatureClass_conversion(config.CatchmentSource, config.SDEDataGDB, \"CatchmentBoundary\", \"\", \"\", \"\")\r\n arcpy.FeatureClassToFeatureClass_conversion(config.LandlotSource, config.TempDataGDB, \"Land_lot\", \"\", \"\", \"\")\r\n # Calculate the lot key without letter\r\n arcpy.AddField_management(config.LandLot, \"Lotkey_wo_letter\", \"TEXT\", \"\", \"\", \"10\", \"\", \"NULLABLE\", \"NON_REQUIRED\",\r\n \"\")\r\n arcpy.CalculateField_management(config.LandLot, \"Lotkey_wo_letter\", \"!lot_key![:10]\", \"PYTHON\", \"\")\r\n\r\n logFile.writelines(\"01 Import of base data ends at \" + str(datetime.datetime.now()) + \"\\n\")\r\n\r\n\r\n # START THE LOOP TO PROCESS ALL THE FILES\r\n clcounter = 0\r\n\r\n if len(correct_config_files) == 0:\r\n logFile.writelines(\"No BCA report to process at \" + str(datetime.datetime.now()) + \"\\n\")\r\n\r\n arcpy.AddMessage(\"Processing files...\")\r\n for BCAreport in configfiles:\r\n\r\n clcounter += 1\r\n arcpy.AddMessage(BCAreport)\r\n input_file_name = BCAreport.split(\"\\\\\")[-1]\r\n MukimConstruct = arcpy.SearchCursor(config.MukimConstructSource)\r\n PermitDateExists = False\r\n\r\n # CHEKC FILE DATE EXISTS\r\n for row in MukimConstruct:\r\n aux = input_file_name[:8]\r\n if \"CORRECTED\" not in BCAreport.upper():\r\n filedate = datetime.datetime.strptime(aux, \"%Y%m%d\")\r\n else:\r\n clean_filename = input_file_name.split(\".\")[0]\r\n filedate = datetime.datetime.strptime(clean_filename[-8:], \"%Y%m%d\")\r\n if filedate == row.PERMIT_DATE and \"CORRECTED\" not in input_file_name.upper():\r\n PermitDateExists = True\r\n break\r\n\r\n HEADERVALID = True\r\n with xlrd.open_workbook(BCAreport) as wb:\r\n sh = wb.sheet_by_index(0)\r\n for r in range(sh.nrows):\r\n colcount = 0\r\n if sh.row_values(r)[colcount] == 'Error_Message':\r\n HEADERVALID = True\r\n elif sh.row_values(r)[colcount] == 'Project Ref No' or sh.row_values(r)[colcount] == 'Project_Ref_No':\r\n HEADERVALID = True\r\n else:\r\n PermitDateExistsLog = file(config.ErrorLogFolder + \"\\\\\" + input_file_name.split(\".\")[\r\n 0] + \" file's header format is not acceptable for processing\" + \".log\", \"a\")\r\n PermitDateExistsLog.write(\r\n \"The header format for the file \" + input_file_name + \" is not acceptable for processing at \" + str(\r\n datetime.datetime.now()))\r\n logFile.writelines(\r\n \"The header format for the file \" + input_file_name + \" is not acceptable for processing at \" + str(\r\n datetime.datetime.now()) + \"\\n\")\r\n HEADERVALID = False\r\n break\r\n\r\n if not PermitDateExists and HEADERVALID:\r\n logFile.writelines(\"Starts processing \" + BCAreport + \" at \" + str(datetime.datetime.now()) + \"\\n\")\r\n\r\n # Status update to run/not run the SiteInspection Update\r\n Log_SiteInspectionUpdate = file(config.SiteInspectionUpdate, \"w\")\r\n Log_SiteInspectionUpdate.writelines(\"NO\")\r\n Log_SiteInspectionUpdate.close()\r\n\r\n # 02. Import the BCA report to a geodatabase table\r\n logFile.writelines(\"02 Import of table to gdb starts at \" + str(datetime.datetime.now()) + \"\\n\")\r\n\r\n try:\r\n if arcpy.Exists(config.TempDataGDB + \"\\\\ConvertedBCAreport_02\"):\r\n arcpy.Delete_management(config.TempDataGDB + \"\\\\ConvertedBCAreport_02\")\r\n arcpy.CreateTable_management(config.TempDataGDB, \"ConvertedBCAreport_02\", config.TemplateConvertedBCAreport)\r\n else:\r\n arcpy.CreateTable_management(config.TempDataGDB, \"ConvertedBCAreport_02\", config.TemplateConvertedBCAreport)\r\n if arcpy.Exists(BCAreport[:-5] + '_err' + '.csv'):\r\n # rename old error report\r\n os.remove(BCAreport[:-5] + '_err' + '.csv')\r\n else:\r\n result = \"Error file does not exist\"\r\n if BCAreport.endswith('.xls') or BCAreport.endswith('.xlsx') or BCAreport.endswith('.XLS'):\r\n rows_out = arcpy.InsertCursor(config.BCAReportGDBTable)\r\n fldlist = arcpy.ListFields(config.BCAReportGDBTable)\r\n fldlist.pop(0)\r\n with xlrd.open_workbook(BCAreport) as wb:\r\n sh = wb.sheet_by_index(0)\r\n for r in range(sh.nrows):\r\n colcount = 0\r\n if sh.row_values(r)[colcount] != 'Error_Message':\r\n colcount = 0\r\n else:\r\n colcount = 1\r\n break\r\n for r in range(sh.nrows):\r\n colcounter = colcount\r\n if r > 0:\r\n new_row_out = rows_out.newRow()\r\n for efld in fldlist:\r\n if efld.name <> 'OBJECTID' and efld.name <> 'ConcatFields':\r\n new_row_out.setValue(efld.name, sh.row_values(r)[colcounter])\r\n colcounter += 1\r\n\r\n logFile.writelines(\"Inserting: \" + str(new_row_out) + \"\\n\")\r\n rows_out.insertRow(new_row_out)\r\n del rows_out, new_row_out\r\n\r\n elif BCAreport.endswith('.csv'):\r\n\r\n BCAreportread = csv.DictReader(open(BCAreport, 'rb'), delimiter=',', quotechar='\"')\r\n rows_out = arcpy.InsertCursor(config.BCAReportGDBTable)\r\n for attribute in BCAreportread:\r\n new_row_out = rows_out.newRow()\r\n new_row_out.Project_Ref_No = attribute['Project_Ref_No']\r\n new_row_out.Project_Title = attribute['Project_Title']\r\n new_row_out.House_Blk_No = attribute['House_Blk_No']\r\n new_row_out.Road_Name = attribute['Road_Name']\r\n new_row_out.Level_No = attribute['Level_No']\r\n new_row_out.Unit_No = attribute['Unit_No']\r\n new_row_out.Building_Name = attribute['Building_Name']\r\n new_row_out.Postal_Code = attribute['Postal_Code']\r\n new_row_out.Project_Mukim_nos = attribute['Project_Mukim_nos']\r\n new_row_out.Project_Lot_nos = attribute['Project_Lot_nos']\r\n new_row_out.Permit_Type_of_Work = attribute['Permit_Type_of_Work']\r\n new_row_out.Type_of_Work = attribute['Type_of_Work']\r\n new_row_out.Owner_s_name = attribute['Owners_name']\r\n new_row_out.Owner_s_firm_name = attribute['Owners_firm_name']\r\n new_row_out.Owner_s_address = attribute['Owners_address']\r\n new_row_out.Owner_s_Tel_No = attribute['Owners_Tel_No']\r\n new_row_out.Owner_s_Email_address = attribute['Owners_Email_address']\r\n new_row_out.Builder_s_name = attribute['Builders_name']\r\n new_row_out.Builder_s_firm_name = attribute['Builders_firm_name']\r\n new_row_out.Builder_s_address = attribute['Builders_address']\r\n new_row_out.Builder_s_Tel_No = attribute['Builders_Tel_No']\r\n new_row_out.Builder_s_email_address = attribute['Builders_email_address']\r\n new_row_out.PE_s_name = attribute['PEs_name']\r\n new_row_out.PE_s_firm_name = attribute['PEs_firm_name']\r\n new_row_out.PE_s_address = attribute['PEs_address']\r\n new_row_out.PE_s_Tel_No = attribute['PEs_Tel_No']\r\n new_row_out.PE_s_Email_address = attribute['PEs_Email_address']\r\n new_row_out.Architect_s_name = attribute['Architects_name']\r\n new_row_out.Architect_s_firm_name = attribute['Architects_firm_name']\r\n new_row_out.Architect_s_address = attribute['Architects_address']\r\n new_row_out.Architect_s_Tel_No = attribute['Architects_Tel_No']\r\n new_row_out.Architect_s_Email_address = attribute['Architects_Email_address']\r\n new_row_out.Project_Cost = attribute['Project_Cost']\r\n new_row_out.Project_Duration = attribute['Project_Duration']\r\n new_row_out.Approval_Date_DD_MM_YYYY_ = attribute['Approval_Date']\r\n rows_out.insertRow(new_row_out)\r\n if new_row_out:\r\n del new_row_out\r\n if rows_out:\r\n del rows_out\r\n\r\n except:\r\n log_error(\"Error in 02 Import of table to gdb: \", logFile)\r\n logFile.writelines(\"02 Import of table to gdb ends at \" + str(datetime.datetime.now()) + \"\\n\")\r\n\r\n # 03. Remove spaces in key fields for the concatenation\r\n logFile.writelines(\"03 Removing of spaces starts at \" + str(datetime.datetime.now()) + \"\\n\")\r\n\r\n try:\r\n rowsSpace = arcpy.UpdateCursor(config.BCAReportGDBTable)\r\n\r\n for row in rowsSpace:\r\n ProjRef = row.Project_Ref_No.strip()\r\n ProjMukim = row.Project_Mukim_nos.strip()\r\n ProjLot = row.Project_Lot_nos.strip()\r\n BuilderN = row.Builder_s_name.strip()\r\n row.Project_Ref_No = ProjRef\r\n row.Project_Mukim_nos = ProjMukim\r\n row.Project_Lot_nos = ProjLot\r\n row.Builder_s_name = BuilderN\r\n rowsSpace.updateRow(row)\r\n if row:\r\n del row\r\n if rowsSpace:\r\n del rowsSpace\r\n except:\r\n log_error(\"Error in 03 Removing of spaces: \", logFile)\r\n logFile.writelines(\"03 Removing of spaces ends at \" + str(datetime.datetime.now()) + \"\\n\")\r\n\r\n # 04. Concatenate Project_Ref_No, Project_Mukim_nos, Project_Lot_nos, Builder_s_name\r\n logFile.writelines(\"04 Concatenate the three fields starts at \" + str(datetime.datetime.now()) + \"\\n\")\r\n\r\n try:\r\n rows = arcpy.UpdateCursor(config.BCAReportGDBTable)\r\n for row in rows:\r\n expression = str(row.Project_Ref_No) + \"-\" + str(row.Project_Mukim_nos) + \"-\" + str(\r\n row.Project_Lot_nos) + \"-\" + str(row.Builder_s_name)\r\n row.ConcatFields = expression\r\n rows.updateRow(row)\r\n if row:\r\n del row\r\n if rows:\r\n del rows\r\n\r\n except:\r\n log_error(\"Error in 04 Concatenate the three fields: \", logFile)\r\n logFile.writelines(\"04 Concatenate the three fields ends at \" + str(datetime.datetime.now()) + \"\\n\")\r\n\r\n # 05. Create temporary tables for Unique and Duplicate records\r\n logFile.writelines(\"05 Create temporary tables starts at \" + str(datetime.datetime.now()) + \"\\n\")\r\n\r\n try:\r\n if arcpy.Exists(config.TempDataGDB + \"\\\\Uniquerows\"):\r\n arcpy.Delete_management(config.TempDataGDB + \"\\\\Uniquerows\")\r\n arcpy.CreateTable_management(config.TempDataGDB, \"Uniquerows\", config.TemplateConcat, \"\")\r\n else:\r\n arcpy.CreateTable_management(config.TempDataGDB, \"Uniquerows\", config.TemplateConcat, \"\")\r\n\r\n if arcpy.Exists(config.TempDataGDB + \"\\\\Duplicaterows\"):\r\n arcpy.Delete_management(config.TempDataGDB + \"\\\\Duplicaterows\")\r\n arcpy.CreateTable_management(config.TempDataGDB, \"Duplicaterows\", config.TemplateConcat, \"\")\r\n else:\r\n arcpy.CreateTable_management(config.TempDataGDB, \"Duplicaterows\", config.TemplateConcat, \"\")\r\n except:\r\n log_error(\"Error in 05 Create temporary tables: \", logFile)\r\n logFile.writelines(\"05 Create temporary tables ends at \" + str(datetime.datetime.now()) + \"\\n\")\r\n\r\n # 06. Separate unique and duplicate records\r\n logFile.writelines(\"06 Separate unique and duplicate rows starts at \" + str(datetime.datetime.now()) + \"\\n\")\r\n\r\n try:\r\n print \"Start step 06\"\r\n rows_inCB02 = arcpy.UpdateCursor(config.BCAReportGDBTable)\r\n rows_outUnique = arcpy.InsertCursor(config.UniqueRecords)\r\n # print rows_outUnique\r\n rows_outDuplicate = arcpy.InsertCursor(config.DuplicateRecords)\r\n\r\n rows_unique = []\r\n rows_duplicates = []\r\n for row in rows_inCB02:\r\n if row.ConcatFields not in rows_unique:\r\n rows_unique = rows_unique + [row.ConcatFields]\r\n else:\r\n rows_duplicates = rows_duplicates + [row.ConcatFields]\r\n\r\n print \"Start step 06 1\"\r\n for item in rows_unique:\r\n print \"clcounter: \" + str(clcounter)\r\n print \"item: \" + str(item)\r\n newrow = rows_outUnique.newRow()\r\n newrow.Concat = item\r\n # print newrow\r\n rows_outUnique.insertRow(newrow)\r\n\r\n print \"Start step 06 2\"\r\n for item in rows_duplicates:\r\n print \"clcounter: \" + str(clcounter)\r\n print \"item: \" + str(item)\r\n newrow = rows_outDuplicate.newRow()\r\n newrow.Concat = item\r\n rows_outDuplicate.insertRow(newrow)\r\n\r\n print \"Start step 06 3\"\r\n\r\n if rows_inCB02:\r\n del rows_inCB02\r\n if rows_outUnique:\r\n del rows_outUnique\r\n if rows_outDuplicate:\r\n del rows_outDuplicate\r\n if row:\r\n del row\r\n except:\r\n log_error(\"Error in 06 Separate unique and duplicate rows: \", logFile)\r\n logFile.writelines(\"06 Separate unique and duplicate rows ends at \" + str(datetime.datetime.now()) + \"\\n\")\r\n\r\n # 07. Get the rest of the fields for Uniquerows table\r\n logFile.writelines(\r\n \"07 Get the rest of the fields for unique rows starts at \" + str(datetime.datetime.now()) + \"\\n\")\r\n arcpy.env.workspace = config.TempDataGDB\r\n arcpy.AddMessage(\"Starting toolbox JoinUniqueRestofFields\")\r\n\r\n try:\r\n arcpy.JoinUniqueRestofFields()\r\n except:\r\n log_error(\"Error in 07 Get the rest of the fields for unique rows: \", logFile)\r\n logFile.writelines(\r\n \"07 Get the rest of the fields for unique rows ends at \" + str(datetime.datetime.now()) + \"\\n\")\r\n\r\n # 08. Get the rest of the fields for Duplicaterows table\r\n logFile.writelines(\r\n \"08 Get the rest of the fields for duplicate rows starts at \" + str(datetime.datetime.now()) + \"\\n\")\r\n arcpy.AddMessage(\"START toolbox JoinDuplicateRestofFields\")\r\n try:\r\n arcpy.JoinDuplicateRestofFields()\r\n\r\n except:\r\n log_error(\"Error in 08 Get the rest of the fields for duplicate rows: \", logFile)\r\n\r\n logFile.writelines(\r\n \"08 Get the rest of the fields for duplicate rows ends at \" + str(datetime.datetime.now()) + \"\\n\")\r\n\r\n # 09. Log duplicate records\r\n logFile.writelines(\"09 Log duplicate records starts at \" + str(datetime.datetime.now()) + \"\\n\")\r\n arcpy.AddMessage(\"Logging duplicate records\")\r\n try:\r\n # Initialize the error log\r\n wbk = xlwt.Workbook()\r\n sheet = wbk.add_sheet('Book 1')\r\n row_count = 0\r\n col_count = 0\r\n header = ['Error_Message', 'Project_Ref_No', 'Project_Title', 'House_Blk_No', 'Road_Name', 'Level_No',\r\n 'Unit_No', 'Building_Name', 'Postal_Code', 'Project_Mukim_nos', 'Project_Lot_nos',\r\n 'Permit_Type_of_Work', 'Type_of_Work', 'Owners_name', 'Owners_firm_name', 'Owners_address',\r\n 'Owners_Tel_No', 'Owners_Email_address', 'Builders_name', 'Builders_firm_name',\r\n 'Builders_address', 'Builders_Tel_No', 'Builders_email_address', 'PEs_name', 'PEs_firm_name',\r\n 'PEs_address', 'PEs_Tel_No', 'PEs_Email_address', 'Architects_name', 'Architects_firm_name',\r\n 'Architects_address', 'Architects_Tel_No', 'Architects_Email_address', 'Project_Cost',\r\n 'Project_Duration', 'Approval_Date']\r\n for fieldname in header:\r\n sheet.write(row_count, col_count, fieldname)\r\n col_count += 1\r\n wbk.save(config.ErrorLogFolder + \"\\\\\" + input_file_name.split(\".\")[0] + \"_err\" + \".xls\")\r\n\r\n # Log duplicate records\r\n rows = arcpy.SearchCursor(config.DuplicateRows)\r\n\r\n row_count = 1\r\n col_count = 0\r\n row = None\r\n for row in rows:\r\n message = ['Duplicate record in the BCA report', row.Project_Ref_No, row.Project_Title,\r\n row.House_Blk_No, row.Road_Name, row.Level_No, row.Unit_No, row.Building_Name,\r\n row.Postal_Code, row.Project_Mukim_nos, row.Project_Lot_nos, row.Permit_Type_of_Work,\r\n row.Type_of_Work, row.Owner_s_name, row.Owner_s_firm_name, row.Owner_s_address,\r\n row.Owner_s_Tel_No, row.Owner_s_Email_address, row.Builder_s_name,\r\n row.Builder_s_firm_name, row.Builder_s_address, row.Builder_s_Tel_No,\r\n row.Builder_s_email_address, row.PE_s_name, row.PE_s_firm_name, row.PE_s_address,\r\n row.PE_s_Tel_No, row.PE_s_Email_address, row.Architect_s_name, row.Architect_s_firm_name,\r\n row.Architect_s_address, row.Architect_s_Tel_No, row.Architect_s_Email_address,\r\n row.Project_Cost, row.Project_Duration, row.Approval_Date_DD_MM_YYYY_]\r\n col_count = 0\r\n for element in message:\r\n sheet.write(row_count, col_count, element)\r\n col_count += 1\r\n row_count += 1\r\n wbk.save(config.ErrorLogFolder + \"\\\\\" + input_file_name.split(\".\")[0] + \"_err\" + \".xls\")\r\n if row:\r\n del row\r\n if rows:\r\n del rows\r\n except:\r\n log_error(\"Error in 09 Log duplicate records: \", logFile)\r\n\r\n logFile.writelines(\"09 Log duplicate records ends at \" + str(datetime.datetime.now()) + \"\\n\")\r\n\r\n # 10. Split rows based on Mukim numbers\r\n logFile.writelines(\"10 Splitting of rows based on mukim starts at \" + str(datetime.datetime.now()) + \"\\n\")\r\n\r\n try:\r\n if arcpy.Exists(config.SplittedMukimRows):\r\n arcpy.Delete_management(config.SplittedMukimRows)\r\n arcpy.CreateTable_management(config.TempDataGDB, \"Splitted_rows_mukim_03\", config.TemplateBCAReport, \"\")\r\n else:\r\n arcpy.CreateTable_management(config.TempDataGDB, \"Splitted_rows_mukim_03\", config.TemplateBCAReport, \"\")\r\n\r\n if arcpy.Exists(config.SplittedProjLotRows):\r\n arcpy.Delete_management(config.SplittedProjLotRows)\r\n arcpy.CreateTable_management(config.TempDataGDB, \"Splitted_rows_projlot_04\", config.TemplateBCAReport, \"\")\r\n else:\r\n arcpy.CreateTable_management(config.TempDataGDB, \"Splitted_rows_projlot_04\", config.TemplateBCAReport, \"\")\r\n\r\n rows_in = arcpy.SearchCursor(config.UniqueRows)\r\n rows_out = arcpy.InsertCursor(config.SplittedMukimRows)\r\n\r\n for row in rows_in:\r\n list_mukim_nos = row.Project_Mukim_nos.split(\",\")\r\n for proj_mukim_nos_id in list_mukim_nos:\r\n new_row_out = rows_out.newRow()\r\n new_row_out.Project_Mukim_nos = proj_mukim_nos_id\r\n new_row_out.PROJECTMUKIM_RAW = row.Project_Mukim_nos\r\n new_row_out.Project_Ref_No = row.Project_Ref_No\r\n new_row_out.Project_Title = row.Project_Title\r\n new_row_out.House_Blk_No = row.House_Blk_No\r\n new_row_out.Road_Name = row.Road_Name\r\n new_row_out.Level_No = row.Level_No\r\n new_row_out.Unit_No = row.Unit_No\r\n new_row_out.Building_Name = row.Building_Name\r\n new_row_out.Postal_Code = row.Postal_Code\r\n new_row_out.Project_Lot_nos = row.Project_Lot_nos\r\n new_row_out.Permit_Type_of_Work = row.Permit_Type_of_Work\r\n new_row_out.Type_of_Work = row.Type_of_Work\r\n new_row_out.Owner_s_name = row.Owner_s_name\r\n new_row_out.Owner_s_firm_name = row.Owner_s_firm_name\r\n new_row_out.Owner_s_address = row.Owner_s_address\r\n new_row_out.Owner_s_Tel_No = row.Owner_s_Tel_No\r\n new_row_out.Owner_s_Email_address = row.Owner_s_Email_address\r\n new_row_out.Builder_s_name = row.Builder_s_name\r\n new_row_out.Builder_s_firm_name = row.Builder_s_firm_name\r\n new_row_out.Builder_s_address = row.Builder_s_address\r\n new_row_out.Builder_s_Tel_No = row.Builder_s_Tel_No\r\n new_row_out.Builder_s_email_address = row.Builder_s_email_address\r\n new_row_out.PE_s_name = row.PE_s_name\r\n new_row_out.PE_s_firm_name = row.PE_s_firm_name\r\n new_row_out.PE_s_address = row.PE_s_address\r\n new_row_out.PE_s_Tel_No = row.PE_s_Tel_No\r\n new_row_out.PE_s_Email_address = row.PE_s_Email_address\r\n new_row_out.Architect_s_name = row.Architect_s_name\r\n new_row_out.Architect_s_firm_name = row.Architect_s_firm_name\r\n new_row_out.Architect_s_address = row.Architect_s_address\r\n new_row_out.Architect_s_Tel_No = row.Architect_s_Tel_No\r\n new_row_out.Architect_s_Email_address = row.Architect_s_Email_address\r\n new_row_out.Project_Cost = row.Project_Cost\r\n new_row_out.Project_Duration = row.Project_Duration\r\n new_row_out.Approval_Date_DD_MM_YYYY_ = row.Approval_Date_DD_MM_YYYY_\r\n rows_out.insertRow(new_row_out)\r\n if row:\r\n del row\r\n if new_row_out:\r\n del new_row_out\r\n if rows_in:\r\n del rows_in\r\n if rows_out:\r\n del rows_out\r\n except:\r\n log_error(\"Error in 10 Splitting of rows based on mukim: \", logFile)\r\n\r\n logFile.writelines(\"10 Splitting of rows based on mukim ends at \" + str(datetime.datetime.now()) + \"\\n\")\r\n\r\n # 11.Split rows based on Project lot numbers\r\n arcpy.AddMessage(\"Splitting rows based on project lots\")\r\n\r\n logFile.writelines(\r\n \"11 Splitting of rows based on project lot starts at \" + str(datetime.datetime.now()) + \"\\n\")\r\n\r\n try:\r\n rows_in03 = arcpy.SearchCursor(config.SplittedMukimRows)\r\n rows_out04 = arcpy.InsertCursor(config.SplittedProjLotRows)\r\n\r\n for row in rows_in03:\r\n list_proj_lot_nos = row.Project_Lot_nos.split(\",\")\r\n print list_proj_lot_nos\r\n for proj_lot_nos_id in list_proj_lot_nos:\r\n print proj_lot_nos_id\r\n new_row_out = rows_out04.newRow()\r\n new_row_out.Project_Lot_nos = proj_lot_nos_id\r\n new_row_out.PROJECTMUKIM_RAW = row.PROJECTMUKIM_RAW\r\n new_row_out.PROJECTLOT_RAW = row.Project_Lot_nos\r\n new_row_out.Project_Ref_No = row.Project_Ref_No\r\n new_row_out.Project_Title = row.Project_Title\r\n new_row_out.House_Blk_No = row.House_Blk_No\r\n new_row_out.Road_Name = row.Road_Name\r\n new_row_out.Level_No = row.Level_No\r\n new_row_out.Unit_No = row.Unit_No\r\n new_row_out.Building_Name = row.Building_Name\r\n new_row_out.Postal_Code = row.Postal_Code\r\n new_row_out.Project_Mukim_nos = row.Project_Mukim_nos\r\n new_row_out.Permit_Type_of_Work = row.Permit_Type_of_Work\r\n new_row_out.Type_of_Work = row.Type_of_Work\r\n new_row_out.Owner_s_name = row.Owner_s_name\r\n new_row_out.Owner_s_firm_name = row.Owner_s_firm_name\r\n new_row_out.Owner_s_address = row.Owner_s_address\r\n new_row_out.Owner_s_Tel_No = row.Owner_s_Tel_No\r\n new_row_out.Owner_s_Email_address = row.Owner_s_Email_address\r\n new_row_out.Builder_s_name = row.Builder_s_name\r\n new_row_out.Builder_s_firm_name = row.Builder_s_firm_name\r\n new_row_out.Builder_s_address = row.Builder_s_address\r\n new_row_out.Builder_s_Tel_No = row.Builder_s_Tel_No\r\n new_row_out.Builder_s_email_address = row.Builder_s_email_address\r\n new_row_out.PE_s_name = row.PE_s_name\r\n new_row_out.PE_s_firm_name = row.PE_s_firm_name\r\n new_row_out.PE_s_address = row.PE_s_address\r\n new_row_out.PE_s_Tel_No = row.PE_s_Tel_No\r\n new_row_out.PE_s_Email_address = row.PE_s_Email_address\r\n new_row_out.Architect_s_name = row.Architect_s_name\r\n new_row_out.Architect_s_firm_name = row.Architect_s_firm_name\r\n new_row_out.Architect_s_address = row.Architect_s_address\r\n new_row_out.Architect_s_Tel_No = row.Architect_s_Tel_No\r\n new_row_out.Architect_s_Email_address = row.Architect_s_Email_address\r\n new_row_out.Project_Cost = row.Project_Cost\r\n new_row_out.Project_Duration = row.Project_Duration\r\n new_row_out.Approval_Date_DD_MM_YYYY_ = row.Approval_Date_DD_MM_YYYY_\r\n rows_out04.insertRow(new_row_out)\r\n\r\n if row:\r\n del row\r\n if new_row_out:\r\n del new_row_out\r\n if rows_in03:\r\n del rows_in03\r\n if rows_out04:\r\n del rows_out04\r\n # print int(arcpy.GetCount_management(SplittedProjLotRows).getOutput(0))\r\n except:\r\n log_error(\"Error in 11 Splitting of rows based on project lot: \", logFile)\r\n logFile.writelines(\r\n \"11 Splitting of rows based on project lot ends at \" + str(datetime.datetime.now()) + \"\\n\")\r\n\r\n # 12. Remove spaces in Mukim and Project lot values\r\n logFile.writelines(\r\n \"12 Removing of spaces in mukim and project lot starts at \" + str(datetime.datetime.now()) + \"\\n\")\r\n arcpy.AddMessage(\"Cleaning project lots\")\r\n try:\r\n\r\n rowsSpaces = arcpy.UpdateCursor(config.SplittedProjLotRows)\r\n\r\n for row in rowsSpaces:\r\n lot_no_spaces = row.Project_Lot_nos.strip()\r\n mukim_no_spaces = row.Project_Mukim_nos.strip()\r\n row.Project_Lot_nos = lot_no_spaces\r\n row.Project_Mukim_nos = mukim_no_spaces\r\n rowsSpaces.updateRow(row)\r\n if row:\r\n del row\r\n if rowsSpaces:\r\n del rowsSpaces\r\n except:\r\n log_error(\"Error in 12 Removing of spaces in mukim and project lot: \", logFile)\r\n logFile.writelines(\r\n \"12 Removing of spaces in mukim and project lot ends at \" + str(datetime.datetime.now()) + \"\\n\")\r\n\r\n # 13. Log empty Mukimlot or date fields\r\n logFile.writelines(\r\n \"13 Log empty mukim and project lot nos starts at \" + str(datetime.datetime.now()) + \"\\n\")\r\n\r\n try:\r\n rowsEmpty = arcpy.UpdateCursor(config.SplittedProjLotRows)\r\n\r\n for row in rowsEmpty:\r\n message = ['Missing Project lot or Mukim numbers', row.Project_Ref_No, row.Project_Title,\r\n row.House_Blk_No, row.Road_Name, row.Level_No, row.Unit_No, row.Building_Name,\r\n row.Postal_Code, row.Project_Mukim_nos, row.Project_Lot_nos, row.Permit_Type_of_Work,\r\n row.Type_of_Work, row.Owner_s_name, row.Owner_s_firm_name, row.Owner_s_address,\r\n row.Owner_s_Tel_No, row.Owner_s_Email_address, row.Builder_s_name,\r\n row.Builder_s_firm_name, row.Builder_s_address, row.Builder_s_Tel_No,\r\n row.Builder_s_email_address, row.PE_s_name, row.PE_s_firm_name, row.PE_s_address,\r\n row.PE_s_Tel_No, row.PE_s_Email_address, row.Architect_s_name, row.Architect_s_firm_name,\r\n row.Architect_s_address, row.Architect_s_Tel_No, row.Architect_s_Email_address,\r\n row.Project_Cost, row.Project_Duration, row.Approval_Date_DD_MM_YYYY_]\r\n message2 = ['Missing Project duration or Approval date', row.Project_Ref_No, row.Project_Title,\r\n row.House_Blk_No, row.Road_Name, row.Level_No, row.Unit_No, row.Building_Name,\r\n row.Postal_Code, row.Project_Mukim_nos, row.Project_Lot_nos, row.Permit_Type_of_Work,\r\n row.Type_of_Work, row.Owner_s_name, row.Owner_s_firm_name, row.Owner_s_address,\r\n row.Owner_s_Tel_No, row.Owner_s_Email_address, row.Builder_s_name,\r\n row.Builder_s_firm_name, row.Builder_s_address, row.Builder_s_Tel_No,\r\n row.Builder_s_email_address, row.PE_s_name, row.PE_s_firm_name, row.PE_s_address,\r\n row.PE_s_Tel_No, row.PE_s_Email_address, row.Architect_s_name,\r\n row.Architect_s_firm_name, row.Architect_s_address, row.Architect_s_Tel_No,\r\n row.Architect_s_Email_address, row.Project_Cost, row.Project_Duration,\r\n row.Approval_Date_DD_MM_YYYY_]\r\n if row.Project_Mukim_nos is None or (len(row.Project_Mukim_nos) < 4):\r\n col_count = 0\r\n for element in message:\r\n sheet.write(row_count, col_count, element)\r\n col_count += 1\r\n row_count += 1\r\n rowsEmpty.deleteRow(row)\r\n elif row.Project_Lot_nos is None or (len(row.Project_Lot_nos) == 0):\r\n col_count = 0\r\n for element in message:\r\n sheet.write(row_count, col_count, element)\r\n col_count += 1\r\n row_count += 1\r\n rowsEmpty.deleteRow(row)\r\n if row.Project_Duration is None or (len(row.Project_Duration) < 1):\r\n col_count = 0\r\n for element in message2:\r\n sheet.write(row_count, col_count, element)\r\n col_count += 1\r\n row_count += 1\r\n rowsEmpty.deleteRow(row)\r\n\r\n elif row.Approval_Date_DD_MM_YYYY_ is None or (len(row.Approval_Date_DD_MM_YYYY_) < 1):\r\n col_count = 0\r\n for element in message2:\r\n sheet.write(row_count, col_count, element)\r\n col_count += 1\r\n row_count += 1\r\n rowsEmpty.deleteRow(row)\r\n wbk.save(config.ErrorLogFolder + \"\\\\\" + input_file_name.split(\".\")[0] + \"_err\" + \".xls\")\r\n if row:\r\n del row\r\n if rowsEmpty:\r\n del rowsEmpty\r\n except:\r\n log_error(\"Error in 13 Log for empty mukim and project lot nos: \", logFile)\r\n logFile.writelines(\"13 Log empty mukim and project lot nos ends at \" + str(datetime.datetime.now()) + \"\\n\")\r\n\r\n # 14. Error log for those with bad values\r\n arcpy.AddMessage(\"14 Logging bad values\")\r\n logFile.writelines(\"14 Log if bad values exist starts at \" + str(datetime.datetime.now()) + \"\\n\")\r\n try:\r\n rowsBadValues = arcpy.UpdateCursor(config.SplittedProjLotRows)\r\n\r\n for row in rowsBadValues:\r\n message = ['Mukim or Project lot numbers have bad values', row.Project_Ref_No, row.Project_Title,\r\n row.House_Blk_No, row.Road_Name, row.Level_No, row.Unit_No, row.Building_Name,\r\n row.Postal_Code, row.Project_Mukim_nos, row.Project_Lot_nos, row.Permit_Type_of_Work,\r\n row.Type_of_Work, row.Owner_s_name, row.Owner_s_firm_name, row.Owner_s_address,\r\n row.Owner_s_Tel_No, row.Owner_s_Email_address, row.Builder_s_name,\r\n row.Builder_s_firm_name, row.Builder_s_address, row.Builder_s_Tel_No,\r\n row.Builder_s_email_address, row.PE_s_name, row.PE_s_firm_name, row.PE_s_address,\r\n row.PE_s_Tel_No, row.PE_s_Email_address, row.Architect_s_name, row.Architect_s_firm_name,\r\n row.Architect_s_address, row.Architect_s_Tel_No, row.Architect_s_Email_address,\r\n row.Project_Cost, row.Project_Duration, row.Approval_Date_DD_MM_YYYY_]\r\n if len(REGEX_FOR_INVALID_CHARS.findall(row.Project_Lot_nos)) > 0:\r\n col_count = 0\r\n for element in message:\r\n sheet.write(row_count, col_count, element)\r\n col_count += 1\r\n row_count += 1\r\n rowsBadValues.deleteRow(row)\r\n elif len(REGEX_FOR_INVALID_CHARS.findall(row.Project_Mukim_nos)) > 0:\r\n col_count = 0\r\n for element in message:\r\n sheet.write(row_count, col_count, element)\r\n col_count += 1\r\n row_count += 1\r\n rowsBadValues.deleteRow(row)\r\n elif len(uptodigit(row.Project_Lot_nos)) > 0:\r\n col_count = 0\r\n for element in message:\r\n sheet.write(row_count, col_count, element)\r\n col_count += 1\r\n row_count += 1\r\n rowsBadValues.deleteRow(row)\r\n wbk.save(config.ErrorLogFolder + \"\\\\\" + input_file_name.split(\".\")[0] + \"_err\" + \".xls\")\r\n\r\n if row:\r\n del row\r\n if rowsBadValues:\r\n del rowsBadValues\r\n except:\r\n log_error(\"Error in 14 Log if bad values exist: \", logFile)\r\n logFile.writelines(\"14 Log if bad values exist ends at \" + str(datetime.datetime.now()) + \"\\n\")\r\n\r\n # 15. Add zeros for Project Lot numbers\r\n logFile.writelines(\"15 Add zeros starts at \" + str(datetime.datetime.now()) + \"\\n\")\r\n try:\r\n rowsZeros = arcpy.UpdateCursor(config.SplittedProjLotRows)\r\n letters = string.ascii_letters\r\n for row in rowsZeros:\r\n letter_count = len(filter(functools.partial(operator.contains, letters), row.Project_Lot_nos))\r\n filled_string = row.Project_Lot_nos.zfill(5 + letter_count)\r\n row.Project_Lot_nos = filled_string\r\n rowsZeros.updateRow(row)\r\n if row:\r\n del row\r\n if rowsZeros:\r\n del rowsZeros\r\n except:\r\n log_error(\"Error in 15 Add zeros: \", logFile)\r\n logFile.writelines(\"15 Add zeros ends at \" + str(datetime.datetime.now()) + \"\\n\")\r\n\r\n # 16. Add and populate fields Mukim_Lot_No, Mukimlot_wo_letter, and Permit_date\r\n logFile.writelines(\"16 Add and populate fields starts at \" + str(datetime.datetime.now()) + \"\\n\")\r\n try:\r\n rowsPop = arcpy.UpdateCursor(config.SplittedProjLotRows)\r\n for row in rowsPop:\r\n expression = str(row.Project_Mukim_nos) + \"-\" + str(row.Project_Lot_nos)\r\n row.Mukim_Lot_No = expression\r\n date = filedate.strftime(\"%Y%m%d\")\r\n year = int(date[:4])\r\n month = int(date[4:6])\r\n day = int(date[6:8])\r\n permit_date = datetime.datetime(year, month, day)\r\n row.Permit_date = permit_date\r\n rowsPop.updateRow(row)\r\n if row:\r\n del row\r\n if rowsPop:\r\n del rowsPop\r\n # Calculate Mukimlot_wo_letter\r\n arcpy.CalculateField_management(config.SplittedProjLotRows, \"Mukimlot_wo_letter\", \"!Mukim_Lot_No![:10]\",\r\n \"PYTHON_9.3\", \"\")\r\n\r\n except:\r\n log_error(\"Error in 16 Add and populate fields: \", logFile)\r\n logFile.writelines(\"16 Add and populate fields ends at \" + str(datetime.datetime.now()) + \"\\n\")\r\n\r\n # 17.Match mukim lot and land lot\r\n logFile.writelines(\"17 Match mukim lot with landlot starts at \" + str(datetime.datetime.now()) + \"\\n\")\r\n try:\r\n arcpy.MatchMukimLandLot()\r\n except:\r\n log_error(\"Error in 17 Match mukim lot with landlot: \", logFile)\r\n logFile.writelines(\"17 Match mukim lot with landlot ends at \" + str(datetime.datetime.now()) + \"\\n\")\r\n\r\n # 18.Get unmatched mukim lot with land lot\r\n logFile.writelines(\"18 Get unmatched mukim lot starts at \" + str(datetime.datetime.now()) + \"\\n\")\r\n arcpy.AddMessage(\"18 Get unmatched mukim lot\")\r\n try:\r\n arcpy.GetUnmatchedMukimLot()\r\n\r\n except:\r\n log_error(\"Error in 18 Get unmatched mukim lot: \", logFile)\r\n\r\n logFile.writelines(\"18 Get unmatched mukim lot ends at \" + str(datetime.datetime.now()) + \"\\n\")\r\n\r\n # 19. Log errors for unmatched mukim lots\r\n logFile.writelines(\"19 Log unmatched mukim lot starts at \" + str(datetime.datetime.now()) + \"\\n\")\r\n try:\r\n rowsUnmatched = arcpy.SearchCursor(config.UnmatchedMukimLot)\r\n row = None\r\n\r\n for row in rowsUnmatched:\r\n message = ['Unmatched mukim lot with the land lot', row.Project_Ref_No, row.Project_Title,\r\n row.House_Blk_No, row.Road_Name, row.Level_No, row.Unit_No, row.Building_Name,\r\n row.Postal_Code, row.Project_Mukim_nos, row.Project_Lot_nos, row.Permit_Type_of_Work,\r\n row.Type_of_Work, row.Owner_s_name, row.Owner_s_firm_name, row.Owner_s_address,\r\n row.Owner_s_Tel_No, row.Owner_s_Email_address, row.Builder_s_name,\r\n row.Builder_s_firm_name, row.Builder_s_address, row.Builder_s_Tel_No,\r\n row.Builder_s_email_address, row.PE_s_name, row.PE_s_firm_name, row.PE_s_address,\r\n row.PE_s_Tel_No, row.PE_s_Email_address, row.Architect_s_name, row.Architect_s_firm_name,\r\n row.Architect_s_address, row.Architect_s_Tel_No, row.Architect_s_Email_address,\r\n row.Project_Cost, row.Project_Duration, row.Approval_Date_DD_MM_YYYY_]\r\n col_count = 0\r\n for element in message:\r\n sheet.write(row_count, col_count, element)\r\n col_count += 1\r\n row_count += 1\r\n wbk.save(config.ErrorLogFolder + \"\\\\\" + input_file_name.split(\".\")[0] + \"_err\" + \".xls\")\r\n if row:\r\n del row\r\n if rowsUnmatched:\r\n del rowsUnmatched\r\n\r\n with xlrd.open_workbook(config.ErrorLogFolder + \"\\\\\" + input_file_name.split(\".\")[0] + \"_err\" + \".xls\") as wb:\r\n sh = wb.sheet_by_index(0)\r\n if sh.nrows == 1:\r\n os.remove(config.ErrorLogFolder + \"\\\\\" + input_file_name.split(\".\")[0] + \"_err\" + \".xls\")\r\n\r\n except arcpy.ExecuteError:\r\n log_error(\"Error in 19 Log unmatched mukim lot: \", logFile)\r\n logFile.writelines(\"19 Log unmatched mukim lot ends at \" + str(datetime.datetime.now()) + \"\\n\")\r\n\r\n # 20. Prepare the table for MukimConstruct matching (add required fields)\r\n logFile.writelines(\"20 Add fields to be used for matching starts at \" + str(datetime.datetime.now()) + \"\\n\")\r\n try:\r\n if arcpy.Exists(config.MUKIMCONSTRUCTImport):\r\n arcpy.Delete_management(config.MUKIMCONSTRUCTImport)\r\n arcpy.FeatureClassToFeatureClass_conversion(config.MukimConstructSource, config.TempDataGDB,\r\n \"MUKIM_CONSTRUCT_Import\")\r\n else:\r\n arcpy.FeatureClassToFeatureClass_conversion(config.MukimConstructSource, config.TempDataGDB,\r\n \"MUKIM_CONSTRUCT_Import\")\r\n\r\n arcpy.AddField_management(config.MatchedMukimLot, \"Concat_4fields\", \"Text\", \"\", \"\", \"\")\r\n arcpy.AddField_management(config.MUKIMCONSTRUCTImport, \"Concat_4fields\", \"Text\", \"\", \"\", \"\")\r\n arcpy.AddField_management(config.MatchedMukimLot, \"PROJ_DURATION_MTHS2\", \"Double\", \"\", \"\", \"\")\r\n except:\r\n log_error(\"Error in 20 Add fields to be used for matching: \", logFile)\r\n logFile.writelines(\"20 Add fields to be used for matching ends at \" + str(datetime.datetime.now()) + \"\\n\")\r\n\r\n # 21. Calculate Project Duration as months\r\n logFile.writelines(\"21 Calculate PROJ_DURATION as months starts at \" + str(datetime.datetime.now()) + \"\\n\")\r\n try:\r\n rowsProjDur = arcpy.UpdateCursor(config.MatchedMukimLot)\r\n\r\n for row in rowsProjDur:\r\n durationstr = row.PROJ_DURATION_MTHS\r\n if \"Month\" in row.PROJ_DURATION_MTHS:\r\n durationintmth = int(durationstr.split(' ')[0])\r\n row.PROJ_DURATION_MTHS2 = durationintmth\r\n elif \"Year\" in row.PROJ_DURATION_MTHS:\r\n durationintyr = int(durationstr.split(' ')[0]) * 12\r\n row.PROJ_DURATION_MTHS2 = durationintyr\r\n rowsProjDur.updateRow(row)\r\n if rowsProjDur:\r\n del rowsProjDur\r\n if row:\r\n del row\r\n\r\n arcpy.DeleteField_management(config.MatchedMukimLot, \"PROJ_DURATION_MTHS\")\r\n arcpy.AddField_management(config.MatchedMukimLot, \"PROJ_DURATION_MTHS\", \"Double\")\r\n arcpy.CalculateField_management(config.MatchedMukimLot, \"PROJ_DURATION_MTHS\", \"[PROJ_DURATION_MTHS2]\")\r\n except:\r\n log_error(\"Error in 21 Calculate PROJ_DURATION as months: \", logFile)\r\n logFile.writelines(\"21 Calculate PROJ_DURATION as months ends at \" + str(datetime.datetime.now()) + \"\\n\")\r\n\r\n # 22. Concatenate 4 fields to be used in checking if mukimlot already exists in MUKIMCONSTRUCT\r\n logFile.writelines(\"22 Concatenate 4 fields starts at \" + str(datetime.datetime.now()) + \"\\n\")\r\n try:\r\n rowsConcat1 = arcpy.UpdateCursor(config.MUKIMCONSTRUCTImport)\r\n\r\n for row in rowsConcat1:\r\n expression = str(row.PROJ_REF_NO) + \"-\" + str(row.BUILDER_NAME) + \"-\" + str(\r\n row.LOT_KEY) + \"-\" + str(row.PERMIT_DATE)\r\n row.Concat_4fields = expression\r\n rowsConcat1.updateRow(row)\r\n if row:\r\n del row\r\n if rowsConcat1:\r\n del rowsConcat1\r\n\r\n rowsConcat2 = arcpy.UpdateCursor(config.MatchedMukimLot)\r\n\r\n for row in rowsConcat2:\r\n expression = str(row.PROJ_REF_NO) + \"-\" + str(row.BUILDER_NAME) + \"-\" + str(\r\n row.LOT_KEY) + \"-\" + str(row.PERMIT_DATE)\r\n row.Concat_4fields = expression\r\n rowsConcat2.updateRow(row)\r\n if row:\r\n del row\r\n if rowsConcat2:\r\n del rowsConcat2\r\n except:\r\n log_error(\"Error in 22 Concatenate 4 fields: \", logFile)\r\n logFile.writelines(\"22 Concatenate 4 fields ends at \" + str(datetime.datetime.now()) + \"\\n\")\r\n\r\n # 23.Match mukim lot with mukim construct\r\n logFile.writelines(\"23 Match mukimlot with mukim construct at \" + str(datetime.datetime.now()) + \"\\n\")\r\n arcpy.env.workspace = config.TempDataGDB # \"G:\\\\Project\\\\GERIUPGRADE\\\\GPTools\\\\NotificationSysTools\\\\BCAReportProcessing\\\\Temp_data.gdb\"\r\n try:\r\n arcpy.MatchedMukimlotMukimConstruct()\r\n except:\r\n log_error(\"Error in 23 Match mukimlot with mukim construct: \", logFile)\r\n logFile.writelines(\"23 Match mukimlot with mukim construct ends at \" + str(datetime.datetime.now()) + \"\\n\")\r\n\r\n # 24.Copy raw values to project lot and project mukim columns and delete the 2 fields\r\n logFile.writelines(\"24 Recalculate projlot and projmukim based on original values starts at \" + str(\r\n datetime.datetime.now()) + \"\\n\")\r\n try:\r\n rowsRaw = arcpy.UpdateCursor(config.MatchedMukimLot)\r\n\r\n for row in rowsRaw:\r\n row.PROJ_MUKIM_NOS = row.PROJECTMUKIM_RAW\r\n row.PROJ_LOT_NOS = row.PROJECTLOT_RAW\r\n rowsRaw.updateRow(row)\r\n if row:\r\n del row\r\n if rowsRaw:\r\n del rowsRaw\r\n except:\r\n log_error(\"Error in 24 Recalculate projlot and projmukim based on original values:\", logFile)\r\n logFile.writelines(\"24 Recalculate projlot and projmukim based on original values ends at \" + str(\r\n datetime.datetime.now()) + \"\\n\")\r\n\r\n # 25. Export Cleaned BCA Permit report for CWD\r\n logFile.writelines(\r\n \"25 Export of Cleaned BCA Permit report starts at \" + str(datetime.datetime.now()) + \"\\n\")\r\n try:\r\n # Initialize the file\r\n CleanedBCAPermitReport = xlwt.Workbook()\r\n book = CleanedBCAPermitReport.add_sheet('Book 1')\r\n countrow = 0\r\n countcol = 0\r\n fields = ['Project Ref No', 'Project Title', 'House Blk No', 'Road Name', 'Level No', 'Unit No',\r\n 'Building Name', 'Postal Code', 'Project Mukim nos', 'Project Lot nos', 'Permit Type of Work',\r\n 'Type of Work', \"Owner's name\", \"Owner's firm name\", \"Owner's address\", \"Owner's Tel No\",\r\n \"Owner's Email address\", \"Builder's name\", \"Builder's firm name\", \"Builder's address\",\r\n \"Builder's Tel No\", \"Builder's email address\", \"PE's name\", \"PE's firm name\", \"PE's address\",\r\n \"PE's Tel No\", \"PE's Email address\", \"Architect's name\", \"Architect's firm name\",\r\n \"Architect's address\", \"Architect's Tel No\", \"Architect's Email address\", 'Project Cost',\r\n 'Project Duration', 'Approval Date(DD/MM/YYYY)']\r\n for fieldname in fields:\r\n book.write(countrow, countcol, fieldname)\r\n countcol += 1\r\n CleanedBCAPermitReport.save(config.CleanedBCAPermitFolder + \"\\\\\" + input_file_name.split(\".\")[0] + \".xls\")\r\n\r\n # Copy the data to Excel File\r\n data = arcpy.SearchCursor(config.MatchedMukimLot)\r\n\r\n countrow = 1\r\n countcol = 0\r\n for row in data:\r\n message = [row.PROJ_REF_NO, row.PROJ_TITLE, row.HOUSE_BLK_NO, row.ROAD_NAME, row.LEVEL_NO,\r\n row.UNIT_NO, row.BUILDING_NAME, row.POSTAL_CODE, row.PROJ_MUKIM_NOS, row.PROJ_LOT_NOS,\r\n row.PERMIT_WORK_TYPE, row.WORK_TYPE, row.OWNER_NAME, row.OWNER_FIRM_NAME, row.OWNER_ADDR,\r\n row.OWNER_TEL, row.OWNER_EMAIL, row.BUILDER_NAME, row.BUILDER_FIRM_NAME,\r\n row.BUILDER_ADDR, row.BUILDER_TEL, row.BUILDER_EMAIL, row.PE_NAME, row.PE_FIRM_NAME,\r\n row.PE_ADDR, row.PE_TEL, row.PE_EMAIL, row.ARCHITECT_NAME, row.ARCHITECT_FIRM_NAME,\r\n row.ARCHITECT_ADDR, row.ARCHITECT_TEL, row.ARCHITECT_EMAIL, row.PROJ_COST,\r\n row.PROJ_DURATION_MTHS, row.PROJ_APPROVAL_DATE]\r\n countcol = 0\r\n for element in message:\r\n book.write(countrow, countcol, element)\r\n countcol += 1\r\n countrow += 1\r\n CleanedBCAPermitReport.save(config.CleanedBCAPermitFolder + \"\\\\\" + input_file_name.split(\".\")[0] + \".xls\")\r\n if row:\r\n del row\r\n if data:\r\n del data\r\n except:\r\n log_error(\"Error in 25 Export of Cleaned BCA Permit Report: Error in 26 Catchment calculation: \", logFile)\r\n logFile.writelines(\"25 Export of Cleaned BCA Permit Report ends at \" + str(datetime.datetime.now()) + \"\\n\")\r\n\r\n # 26. Catchment calculation\r\n arcpy.env.workspace = config.TempDataGDB\r\n logFile.writelines(\"26 Catchment calculation starts at \" + str(datetime.datetime.now()) + \"\\n\")\r\n try:\r\n arcpy.CatchmentCalculation()\r\n except:\r\n log_error(\"Error in 26 Catchment calculation: \", logFile)\r\n logFile.writelines(\"26 Catchment calculation ends at \" + str(datetime.datetime.now()) + \"\\n\")\r\n\r\n # 27. Depot calculation\r\n logFile.writelines(\"27 Depot calculation starts at \" + str(datetime.datetime.now()) + \"\\n\")\r\n try:\r\n arcpy.DepotCalculation()\r\n except:\r\n log_error(\"Error in 27 Depot calculation: \", logFile)\r\n logFile.writelines(\"27 Depot calculation ends at \" + str(datetime.datetime.now()) + \"\\n\")\r\n\r\n # 28. Re-add date fields and populate\r\n logFile.writelines(\"28 Re-add date fields and populate starts at \" + str(datetime.datetime.now()) + \"\\n\")\r\n try:\r\n arcpy.AddField_management(config.MUKIMCONSTRUCT_Temp, \"PERMIT_DATE\", \"Date\")\r\n arcpy.AddField_management(config.MUKIMCONSTRUCT_Temp, \"PROJ_APPROVAL_DATE2\", \"Date\")\r\n arcpy.AddField_management(config.MUKIMCONSTRUCT_Temp, \"PROJ_END_DATE\", \"Date\")\r\n\r\n rows = arcpy.UpdateCursor(config.MUKIMCONSTRUCT_Temp)\r\n\r\n for row in rows:\r\n date = filedate.strftime(\"%Y%m%d\")\r\n year = int(date[:4])\r\n month = int(date[4:6])\r\n day = int(date[6:8])\r\n permit_date = datetime.datetime(year, month, day)\r\n row.PERMIT_DATE = permit_date\r\n row.PROJ_APPROVAL_DATE2 = datetime.datetime.strptime(row.PROJ_APPROVAL_DATE, '%d/%m/%Y')\r\n rows.updateRow(row)\r\n if row:\r\n del row\r\n if rows:\r\n del rows\r\n except:\r\n log_error(\"Error in 28 Re-add fields and populate: \", logFile)\r\n logFile.writelines(\"28 Re-add fields and populate ends at \" + str(datetime.datetime.now()) + \"\\n\")\r\n\r\n # 29. Calculate the end date field\r\n logFile.writelines(\"29 Calculate the end date field starts at \" + str(datetime.datetime.now()) + \"\\n\")\r\n try:\r\n\r\n rowsEndDate = arcpy.UpdateCursor(config.MUKIMCONSTRUCT_Temp)\r\n\r\n for row in rowsEndDate:\r\n sourcedate = row.PROJ_APPROVAL_DATE2\r\n # sourcedate = datetime.datetime.strptime(row.PROJ_APPROVAL_DATE2 , '%d/%m/%Y')\r\n months = int(row.PROJ_DURATION_MTHS)\r\n d = add_months(sourcedate, months)\r\n row.PROJ_END_DATE = d\r\n rowsEndDate.updateRow(row)\r\n if row:\r\n del row\r\n if rowsEndDate:\r\n del rowsEndDate\r\n except:\r\n log_error(\"Error in 29 Calculate the end date field: \", logFile)\r\n logFile.writelines(\"29 Calculate the end date field ends at \" + str(datetime.datetime.now()) + \"\\n\")\r\n\r\n # 30. Calculate Project Total Area\r\n logFile.writelines(\"30 Project total area calculation starts at \" + str(datetime.datetime.now()) + \"\\n\")\r\n try:\r\n arcpy.ProjectTotalArea()\r\n except:\r\n log_error(\"Error in 30 Project total area calculation: \", logFile)\r\n logFile.writelines(\"30 Project total area calculation ends at \" + str(datetime.datetime.now()) + \"\\n\")\r\n\r\n # 31. Calculate the BCA_CORRECTED_BY\r\n logFile.writelines(\"31 Calculate the BCA_CORRECTED_BY starts at \" + str(datetime.datetime.now()) + \"\\n\")\r\n try:\r\n rows_BCA_CB = arcpy.UpdateCursor(config.MUKIMCONSTRUCT_Temp)\r\n\r\n for row in rows_BCA_CB:\r\n if \"\\WSN\\\\\" in BCAreport:\r\n row.BCA_CORRECTED_BY = \"WSN\"\r\n elif \"\\WRN\\\\\" in BCAreport:\r\n row.BCA_CORRECTED_BY = \"WRN\"\r\n elif \"\\CWD\\\\\" in BCAreport:\r\n row.BCA_CORRECTED_BY = \"CWD\"\r\n rows_BCA_CB.updateRow(row)\r\n if row:\r\n del row\r\n if rows_BCA_CB:\r\n del rows_BCA_CB\r\n except:\r\n log_error(\"Error in 31 Calculate the BCA_CORRECTED_BY: \", logFile)\r\n\r\n # 32. Remove spaces in PROJ_REF_NO\r\n logFile.writelines(\r\n \"32 Removing of spaces in mukim and project lot starts at \" + str(datetime.datetime.now()) + \"\\n\")\r\n\r\n try:\r\n rowsSpaces = arcpy.UpdateCursor(config.MUKIMCONSTRUCT_Temp)\r\n\r\n for row in rowsSpaces:\r\n lot_no_spaces = row.PROJ_REF_NO.strip()\r\n row.PROJ_REF_NO = lot_no_spaces\r\n rowsSpaces.updateRow(row)\r\n if row:\r\n del row\r\n if rowsSpaces:\r\n del rowsSpaces\r\n except:\r\n log_error(\"Error in 32 Removing of spaces in mukim and project lot: \", logFile)\r\n logFile.writelines(\r\n \"32 Removing of spaces in mukim and project lot ends at \" + str(datetime.datetime.now()) + \"\\n\")\r\n\r\n # 33. Process the Mukim Construct by Project\r\n logFile.writelines(\r\n \"33 Process the Mukim Construct by Project starts at \" + str(datetime.datetime.now()) + \"\\n\")\r\n arcpy.env.overwriteOutput = True\r\n try:\r\n MUKIM_CONSTRUCT_BYPROJ_IMPORT = config.TempDataGDB + \"\\\\MUKIM_CONSTRUCT_BYPROJ_IMPORT\"\r\n MUKIMCONBYPROJ_SORT = config.TempDataGDB + \"\\\\MUKIMCONBYPROJ_SORT\"\r\n MUKIM_CONSTRUCT_BYPROJ_DISS = config.TempDataGDB + \"\\\\MUKIM_CONSTRUCT_BYPROJ_DISS\"\r\n MUKIM_CONSTRUCT_BYPROJ_DISS__2_ = config.TempDataGDB + \"\\\\MUKIM_CONSTRUCT_BYPROJ_DISS\"\r\n\r\n if arcpy.Exists(MUKIM_CONSTRUCT_BYPROJ_IMPORT):\r\n arcpy.Delete_management(MUKIM_CONSTRUCT_BYPROJ_IMPORT)\r\n if arcpy.Exists(MUKIMCONBYPROJ_SORT):\r\n arcpy.Delete_management(MUKIMCONBYPROJ_SORT)\r\n if arcpy.Exists(MUKIM_CONSTRUCT_BYPROJ_DISS):\r\n arcpy.Delete_management(MUKIM_CONSTRUCT_BYPROJ_DISS)\r\n\r\n arcpy.MUKIMCONBYPROJ()\r\n # arcpy.MUKIMCONSTRUCTBYPROJProcess2()\r\n\r\n arcpy.Sort_management(MUKIM_CONSTRUCT_BYPROJ_IMPORT, MUKIMCONBYPROJ_SORT, \"PROJ_END_DATE DESCENDING\",\r\n \"UR\")\r\n arcpy.Dissolve_management(MUKIMCONBYPROJ_SORT, MUKIM_CONSTRUCT_BYPROJ_DISS, \"PROJ_REF_NO\",\r\n \"LOT_KEY FIRST;PROJ_REF_NO FIRST;PROJ_TITLE FIRST;HOUSE_BLK_NO FIRST;ROAD_NAME FIRST;POSTAL_CODE FIRST;LEVEL_NO FIRST;UNIT_NO FIRST;BUILDING_NAME FIRST;PROJ_MUKIM_NOS FIRST;PROJ_LOT_NOS FIRST;PERMIT_WORK_TYPE FIRST;WORK_TYPE FIRST;OWNER_NAME FIRST;OWNER_FIRM_NAME FIRST;OWNER_ADDR FIRST;OWNER_TEL FIRST;OWNER_EMAIL FIRST;BUILDER_NAME FIRST;BUILDER_FIRM_NAME FIRST;BUILDER_ADDR FIRST;BUILDER_TEL FIRST;BUILDER_EMAIL FIRST;PE_NAME FIRST;PE_FIRM_NAME FIRST;PE_ADDR FIRST;PE_TEL FIRST;PE_EMAIL FIRST;ARCHITECT_NAME FIRST;ARCHITECT_FIRM_NAME FIRST;ARCHITECT_ADDR FIRST;ARCHITECT_TEL FIRST;ARCHITECT_EMAIL FIRST;PROJ_TOT_AREA FIRST;PROJ_PARENT_CWDCATCHMENT FIRST;PROJ_PARENT_WSNDEPOT FIRST;PROJ_PARENT_WRPCATCHMENT FIRST;BCA_CORRECTED_BY FIRST;PROJ_DURATION_MTHS FIRST;PROJ_COST FIRST\",\r\n \"MULTI_PART\", \"DISSOLVE_LINES\")\r\n arcpy.JoinField_management(MUKIM_CONSTRUCT_BYPROJ_DISS, \"FIRST_PROJ_REF_NO\", MUKIMCONBYPROJ_SORT,\r\n \"PROJ_REF_NO\", \"PROJ_APPROVAL_DATE;PROJ_END_DATE;PERMIT_DATE\")\r\n arcpy.CalculateField_management(MUKIM_CONSTRUCT_BYPROJ_DISS__2_, \"FIRST_PROJ_TOT_AREA\",\r\n \"[Shape_Area]/10000\", \"VB\", \"\")\r\n\r\n except:\r\n log_error(\"Error in 33 Process the Mukim Construct by Project: \", logFile)\r\n logFile.writelines(\r\n \"33 Process the Mukim Construct by Project ends at \" + str(datetime.datetime.now()) + \"\\n\")\r\n arcpy.AddMessage(\"33 END process MUKIM CONSTRUCT\")\r\n\r\n # 34. Filter on-going projects\r\n\r\n logFile.writelines(\"34 Filter on-going projects starts at \" + str(datetime.datetime.now()) + \"\\n\")\r\n try:\r\n # TempDataGDB = \"G:\\\\Project\\\\GERIUPGRADE\\\\GPTools\\\\NotificationSysTools\\\\BCAReportProcessing\\\\Temp_data.gdb\"\r\n MUKIM_CONSTRUCT_BYPROJ_DISS = config.TempDataGDB + \"\\\\MUKIM_CONSTRUCT_BYPROJ_DISS\"\r\n rowsIn = arcpy.UpdateCursor(MUKIM_CONSTRUCT_BYPROJ_DISS)\r\n\r\n row = None\r\n for row in rowsIn:\r\n strdays = str(row.PROJ_END_DATE.date() - datetime.date.today())\r\n splitDays = strdays.split()\r\n if splitDays[0] == '0:00:00':\r\n result = \"On-going project (but will end today)\"\r\n else:\r\n if int(splitDays[0]) < 0:\r\n rowsIn.deleteRow(row)\r\n else:\r\n result = \"On-going project\"\r\n if rowsIn:\r\n del rowsIn\r\n if row:\r\n del row\r\n\r\n except:\r\n log_error(\"Error in 34 Filter on-going projects: \", logFile)\r\n logFile.writelines(\"34 Filter on-going projects ends at \" + str(datetime.datetime.now()) + \"\\n\")\r\n\r\n # 35. Append the new data to MUKIM_CONSTRUCT\r\n logFile.writelines(\r\n \"35 Append the new data to MUKIM_CONSTRUCT starts at \" + str(datetime.datetime.now()) + \"\\n\")\r\n try:\r\n arcpy.AppendNewData()\r\n except:\r\n log_error(\"Error in 35 Append the new data to MUKIM_CONSTRUCT: \", logFile)\r\n logFile.writelines(\r\n \"35 Append the new data to MUKIM_CONSTRUCT ends at \" + str(datetime.datetime.now()) + \"\\n\")\r\n\r\n # Clean the memory and the schema lock\r\n arcpy.RefreshCatalog(config.Notification)\r\n arcpy.Compact_management(config.TempDataGDB)\r\n gc.collect()\r\n\r\n # Status update to run/not run the SiteInspection Update\r\n Log_SiteInspectionUpdate = file(config.SiteInspectionUpdate, \"w\")\r\n Log_SiteInspectionUpdate.writelines(\"YES\")\r\n Log_SiteInspectionUpdate.close()\r\n\r\n arcpy.AddMessage(\"END BCA Processing\")\r\n arcpy.AddMessage(\"Passing file date to other functions: \" + repr(filedate))\r\n\r\n # Generate Report\r\n import ReportGeneration_Adhoc_WithProjects as gen_report\r\n gen_report.run(filedate)\r\n #\r\n # # Send email to departments\r\n # import EmailGenerationCompletion_adhoc as send_dept_notification\r\n # if \"CORRECTED\" in BCAreport.upper():\r\n # send_dept_notification.run(filedate, corrected=True)\r\n # else:\r\n # send_dept_notification.run(filedate)\r\n\r\n # Generate advisory letters\r\n import LetterGeneration as letter_gen\r\n letter_gen.run(filedate)\r\n #\r\n # # Send letters to project team\r\n # import EmailGeneration as send_advisory_email\r\n # send_advisory_email.run(filedate)\r\n\r\n\r\n # 36. Move the BCAReport in the backup folder\r\n for BCAreport in correct_config_files:\r\n\r\n input_file_name = BCAreport.split(\"\\\\\")[-1]\r\n bk_file_path = os.path.join(config.BCAreportBackupFolder, input_file_name)\r\n\r\n # if the same file name exists in the backup folder, rename the new file with timestamp and move\r\n if os.path.exists(bk_file_path):\r\n\r\n new_filename = datetime.datetime.now().strftime(\"%Y%m%d-%H%M\") + input_file_name\r\n new_filepath = os.path.join(config.BCAreportBackupFolder, new_filename)\r\n shutil.copy(BCAreport, new_filepath)\r\n os.remove(BCAreport)\r\n\r\n # if the filename does not exist in the backup folder, move the file to backup\r\n else:\r\n shutil.move(BCAreport, config.BCAreportBackupFolder)\r\n\r\n logFile.writelines(\"Moved the BCA report to the backup folder at \" + str(datetime.datetime.now()) + \"\\n\")\r\n logFile.close()","def smoke_test():\r\n habrauser = 'belonesox'\r\n user = crawl_user(habrauser)\r\n print user\r\n ut.data2pickle(user, '../data/users/' + habrauser + '.dat')","def test_pre_hooks(self):\n os.makedirs('/tmp/localhost/pacha_pre')\n touch_script = open('/tmp/localhost/pacha_pre/foo.sh', 'w')\n touch_script.write('''touch /tmp/localhost/pre_got_executed.txt''')\n touch_script.close()\n run = rebuild.Rebuild(hostname='localhost') \n run.pre_hooks()\n self.assertTrue(os.path.isfile('/tmp/localhost/pre_got_executed.txt'))","def prepare_task(self, test_name):\n jobs_dir = os.path.join(\n getattr(config.CONF, 'dir_rally_data'), test_name, 'rally-jobs')\n task_name = self.task_yaml.get(test_name).get(\"task\")\n task = os.path.join(jobs_dir, task_name)\n if not os.path.exists(task):\n raise Exception(f\"The scenario '{task}' does not exist.\")\n LOGGER.debug('Scenario fetched from : %s', task)\n\n if not os.path.exists(self.temp_dir):\n os.makedirs(self.temp_dir)\n task_file_name = os.path.join(self.temp_dir, task_name)\n self.apply_blacklist(task, task_file_name)\n self.run_cmd = ([\"rally\", \"task\", \"start\", \"--tag\", test_name,\n \"--task\", task_file_name,\n \"--task-args\", str(self.build_task_args(test_name))])\n return True","def main():\n\n args, dummy_l_log_filename_s = initialise()\n\n # -- Initialise\n if not alib.init_app(args):\n return alib.FAIL_GENERIC\n\n work_dir = alib.load_dir(args)\n print('Loading files from {}'.format(work_dir['l_c_dir']))\n work_files = alib.load_files(work_dir, args['quick_debug'])\n\n # work_dict = alib.load_matching_masterfile(work_files)\n # alib.load_tags(work_dict)\n # alib.print_filenames(work_dict)\n\n validate_hidden(work_files)\n\n alib.p_i('Done...')","def prepare_submission(self):\n ## class Submit2Page\n if (self.form.has_key(\"pdbfile\") == False or \\\n self.form[\"pdbfile\"].file is None or \\\n self.form[\"pdbfile\"].value <= ' '):\n jobid = self.prepare_pdbid_entry()\n return jobid, False\n\n ## allocate a new JobID\n job_id = mysql.job_new()\n\n ## record user's IP address\n ip_addr = os.environ.get(\"REMOTE_ADDR\", \"Unknown\")\n mysql.job_set_remote_addr(job_id, ip_addr)\n\n ## read in all of the lines in the structure file\n infil = self.form[\"pdbfile\"].file\n line_list = []\n while True:\n ln = infil.readline()\n if not ln:\n break\n line_list.append(ln)\n\n ## proceed no further if there were not sufficient lines in uploaded\n ## structure file\n if len(line_list) < 10:\n webtlsmdd.remove_job(job_id)\n raise SubmissionException('Only Recieved %d lines of upload' % (\n len(line_list)))\n\n ## basic sanity checks (for non-via-pdb.org structures)\n run_mainchain_only = False\n r, tmpfile = check_upload(job_id, line_list, mainchain = False)\n if r != '':\n ## \"All atoms\" failed the sanity check. Let's try just the\n ## mainchain atoms.\n r, garbage = check_upload(job_id, line_list, mainchain = True)\n if r != '':\n ## No good. The structure failed both sanity checks.\n ## Can not proceed with this structure.\n raise SubmissionException(str(r))\n else:\n run_mainchain_only = True\n\n ## TODO: Figure out how to do this without webtlsmdd, 2009-05-29\n ## pass the PDB file to the application server\n result = webtlsmdd.set_structure_file(job_id, xmlrpclib.Binary(\"\".join(line_list)))\n if result != \"\":\n raise SubmissionException(result)\n\n return job_id, run_mainchain_only","def main(\n input_dir: Path = typer.Argument(..., exists=True),\n output_dir: Path = typer.Argument(...),\n beth_train_tar_name: str = \"i2b2_Beth_Train_Release.tar.gz\",\n partners_train_tar_name: str = \"i2b2_Partners_Train_Release.tar.gz\",\n test_zip_name: str = \"Task_1C.zip\",\n merge_docs: bool = True,\n):\n # Unpack compressed data files\n msg.info(\"Extracting raw data.\")\n beth_train_tar_path = input_dir / beth_train_tar_name\n partners_train_tar_path = input_dir / partners_train_tar_name\n test_zip_path = input_dir / test_zip_name\n\n for path in [beth_train_tar_path, partners_train_tar_path]:\n if path.name.endswith(\"tar.gz\"):\n msg.text(f\"Extracting {path}\")\n tar = tarfile.open(path, \"r:gz\")\n tar.extractall(path.parent)\n tar.close()\n\n shutil.unpack_archive(test_zip_path, input_dir / test_zip_name.replace(\".zip\", \"\"))\n\n # preprocess data\n msg.info(\"Converting to spaCy Doc objects.\")\n beth_train_docs = docs_from_many_clinical_records(\n input_dir / \"Beth_Train\", merge_docs=merge_docs\n )\n partners_train_docs = docs_from_many_clinical_records(\n input_dir / \"Partners_Train\", merge_docs=merge_docs\n )\n train_docs = beth_train_docs + partners_train_docs\n\n beth_test_docs = docs_from_many_clinical_records(\n input_dir / \"Task_1C/i2b2_Test/i2b2_Beth_Test\", merge_docs=merge_docs\n )\n partners_test_docs = docs_from_many_clinical_records(\n input_dir / \"Task_1C/i2b2_Test/i2b2_Partners_Test\", merge_docs=merge_docs\n )\n test_docs = beth_test_docs + partners_test_docs\n\n random.shuffle(train_docs)\n split_idx = int(len(train_docs) * 0.8)\n train_docs, dev_docs = train_docs[:split_idx], train_docs[split_idx:]\n\n msg.good(f\"Num Train Docs: {len(train_docs)}\")\n msg.good(f\"Num Dev Docs: {len(dev_docs)}\")\n msg.good(f\"Num Test Docs: {len(test_docs)}\")\n\n with msg.loading(f\"Saving docs to: {output_dir}...\"):\n DocBin(docs=train_docs).to_disk(output_dir / \"train.spacy\")\n DocBin(docs=dev_docs).to_disk(output_dir / \"dev.spacy\")\n DocBin(docs=test_docs).to_disk(output_dir / \"test.spacy\")\n msg.good(\"Done.\")","def __prepare_input_files_locally(self, job_wrapper):\n prepare_input_files_cmds = getattr(job_wrapper, 'prepare_input_files_cmds', None)\n if prepare_input_files_cmds is not None:\n for cmd in prepare_input_files_cmds: # run the commands to stage the input files\n if 0 != os.system(cmd):\n raise Exception('Error running file staging command: %s' % cmd)\n job_wrapper.prepare_input_files_cmds = None # prevent them from being used in-line","def test_1_template_1_default_run_template(self):\n\n homedir,es = self.reg_ws.execute('echo ${HOME}')\n\n invoke_script = \"\"\"#!/bin/sh\n %(invoke_app_path)s -C \"%(test_program)s @@file(datafile1)\" -C %(test_program)s\n \"\"\" % {'invoke_app_path' : INVOKE_APP_PATH,\n 'test_program' : TEST_PROGRAM_NAME}\n\n params_info = {\n 'datafile1' : {\n 'text' : 'this is datafile1',\n 'type' : 'file(datafile1)',\n 'path' : \"%s/datafile1\" % (homedir),\n },\n }\n\n expected_parameters = params_info['datafile1']['path']\n\n sessnum,parameters_text = pass_parameters(self.apps_ws, self.reg_ws,\n invoke_script, params_info,\n self.https_authority, self.reguser,\n self.regpass, self.browser,\n self.catalog, self.utils)\n\n self.close_sessions.append(sessnum)\n\n # log into the tool session container to get the list of parameters\n # passed into the test program. we check that the paramaters were\n # all found in our original parameters file we generated earlier.\n\n ws = self.session.access(session_number=sessnum)\n ws.execute('echo $SESSION')\n\n ws_params_text = retrieve_container_parameters(ws)\n ws_params_out = retrieve_program_output(ws,TEST_PROGRAM_PARAMS_FNAME)\n\n ws.close()\n\n # check that the TOOL_PARAMETERS file has the same info\n # as out parameters_text variable it was created from\n assert parameters_text == ws_params_text, \\\n \"TOOL_PARAMETERS file in container does not match data\" \\\n + \" sent through url.\\nexpected:\\n%s\\nreceived:\\n%s\\n\" \\\n % (repr(parameters_text),repr(ws_params_text))\n\n # check that toolparams started the correct tool based on\n # parameters passed into the container.\n assert expected_parameters == ws_params_out, \\\n \"expected parameters: %s\\nreceived parameters: %s\" \\\n % (repr(expected_parameters),repr(ws_params_out))","def main():\n\t# import training data\n\tfiles = [INPATH + f for f in os.listdir(INPATH) if \".json\" in f]\n\n\t# import books\n\tprint(\"Loading training data...\")\n\tbookList = loadBooks(files)\n\tprint(\"Load complete.\")\n\n\t# loop through element types and store data structure\n\tfor key, value in ELEMENTS.items():\n\t\tprint(\"Generating: %s\" % key)\n\n\t\t# set file outpath\n\t\toutfile = \"%s.json\" % key\n\t\toutpath = OUTPATH % outfile\n\n\t\tgenerateTrain(bookList, key, value, outpath)","def main(input_filepath, model_type, model_path):\n with open(\"src/config.yml\", 'r') as ymlfile:\n cfg = yaml.load(ymlfile, Loader=yaml.FullLoader)\n\n with timer(\"Loading testing data\"):\n test_df = pd.read_pickle(input_filepath + \"/test_data.pkl\")\n\n row_ids = test_df[\"row_id\"]\n del test_df[\"row_id\"]\n\n if model_type == \"xgb\":\n predictions = predict_with_xgb(test_df, model_path)\n\n elif model_type == \"lgbm\":\n predictions = predict_with_lgbm(test_df, row_ids, model_path)\n\n elif model_type == \"ctb\":\n predictions = predict_with_ctb(test_df, row_ids, model_path)\n\n elif model_type == \"lgbm_meter\":\n predictions = predict_with_lgbm_meter(test_df, row_ids, model_path)\n\n elif model_type == \"lgbm_building\":\n predictions = predict_with_lgbm_building(test_df, row_ids, model_path)\n\n else:\n raise ValueError(model_type + \" is not a valid model type to predict from\")\n\n with timer(\"Creating submission file\"):\n create_submission_file(row_ids, predictions, cfg[\"use_leaks\"])","def checkFiles(self):\n if self.user[\"Save\"] != \"\":\n self.of_exist = os.path.exists(os.path.join(self.user[\"Save\"], \"Of\"))\n self.back_of_exist = os.path.exists(\n os.path.join(self.user[\"Save\"], \"Back_Of\")\n )\n self.img_exist = os.path.exists(os.path.join(self.user[\"Save\"], \"Images\"))\n self.depth_exist = os.path.exists(os.path.join(self.user[\"Save\"], \"Depth\"))\n\n self.object_detection_dir_exist = os.path.exists(\n os.path.join(self.user[\"Save\"], \"ObjectDetection\")\n )\n\n self.gt_exist = self.user[\"GT\"] != \"\"\n\n self.create_super_pixel_label = (\n self.super_pixel_method != \"\"\n and not os.path.exists(\n os.path.join(self.savePathJoin(\"Super_Pixel\"), self.super_pixel_method)\n )\n )\n\n self.ui.c_crash_plot_video.setEnabled(self.ui.c_crash_plot.isChecked())\n self.ui.t_low.setEnabled(not self.ui.c_optimize.isChecked())\n self.ui.t_high.setEnabled(not self.ui.c_optimize.isChecked())\n self.ui.c_optimize.setEnabled(self.gt_exist)\n self.ui.c_error_plot.setEnabled(self.gt_exist)\n self.ui.c_error_plot_video.setEnabled(self.ui.c_error_plot.isChecked())\n self.ui.c_speed_plot_video.setEnabled(self.ui.c_speed_plot.isChecked())\n self.ui.c_super_pixel_video.setEnabled(\n self.ui.combo_superpixel.currentIndex() != 0\n )\n self.ui.c_csv.setEnabled(self.ui.c_error_plot.isChecked())\n\n if self.runRequirements():\n self.ui.b_run.setEnabled(True)\n else:\n self.ui.b_run.setEnabled(False)","def testA_StraightThrough(self):\n # Do pre-submit job check\n nRunning = getCondorRunningJobs()\n self.assertEqual(nRunning, 0, \"User currently has %i running jobs. Test will not continue\" % (nRunning))\n\n myThread = threading.currentThread()\n workload = self.createTestWorkload()\n config = self.getConfig()\n\n\n name = 'WMAgent_Test1'\n site = self.sites[0]\n nSubs = 5\n nFiles = 10\n workloadPath = os.path.join(self.testDir, 'workloadTest',\n 'TestWorkload', 'WMSandbox',\n 'WMWorkload.pkl')\n\n # Create a collection of files\n self.createFileCollection(name = name, nSubs = nSubs,\n nFiles = nFiles,\n workflowURL = workloadPath,\n site = site)\n\n\n\n ############################################################\n # Test the JobCreator\n\n\n config.Agent.componentName = 'JobCreator'\n testJobCreator = JobCreatorPoller(config = config)\n\n testJobCreator.algorithm()\n time.sleep(5)\n\n\n # Did all jobs get created?\n getJobsAction = self.daoFactory(classname = \"Jobs.GetAllJobs\")\n result = getJobsAction.execute(state = 'Created', jobType = \"Processing\")\n self.assertEqual(len(result), nSubs*nFiles)\n\n\n # Count database objects\n result = myThread.dbi.processData('SELECT * FROM wmbs_sub_files_acquired')[0].fetchall()\n self.assertEqual(len(result), nSubs * nFiles)\n\n\n # Find the test directory\n testDirectory = os.path.join(self.testDir, 'TestWorkload', 'ReReco')\n self.assertTrue('JobCollection_1_0' in os.listdir(testDirectory))\n self.assertTrue(len(os.listdir(testDirectory)) <= 20)\n\n groupDirectory = os.path.join(testDirectory, 'JobCollection_1_0')\n\n # First job should be in here\n self.assertTrue('job_1' in os.listdir(groupDirectory))\n jobFile = os.path.join(groupDirectory, 'job_1', 'job.pkl')\n self.assertTrue(os.path.isfile(jobFile))\n with open(jobFile, 'rb') as f:\n job = pickle.load(f)\n\n\n self.assertEqual(job['workflow'], name)\n self.assertEqual(len(job['input_files']), 1)\n self.assertEqual(os.path.basename(job['sandbox']), 'TestWorkload-Sandbox.tar.bz2')\n\n\n\n\n\n\n\n\n\n\n ###############################################################\n # Now test the JobSubmitter\n\n config.Agent.componentName = 'JobSubmitter'\n testJobSubmitter = JobSubmitterPoller(config = config)\n\n\n testJobSubmitter.algorithm()\n\n\n # Check that jobs are in the right state\n result = getJobsAction.execute(state = 'Created', jobType = \"Processing\")\n self.assertEqual(len(result), 0)\n result = getJobsAction.execute(state = 'Executing', jobType = \"Processing\")\n self.assertEqual(len(result), nSubs * nFiles)\n\n\n\n # Check assigned locations\n getLocationAction = self.daoFactory(classname = \"Jobs.GetLocation\")\n for id in result:\n loc = getLocationAction.execute(jobid = id)\n self.assertEqual(loc, [[site]])\n\n\n # Check to make sure we have running jobs\n nRunning = getCondorRunningJobs()\n self.assertEqual(nRunning, nFiles * nSubs)\n\n\n #################################################################\n # Now the JobTracker\n\n\n config.Agent.componentName = 'JobTracker'\n testJobTracker = JobTrackerPoller(config = config)\n testJobTracker.setup()\n\n testJobTracker.algorithm()\n\n # Running the algo without removing the jobs should do nothing\n result = getJobsAction.execute(state = 'Executing', jobType = \"Processing\")\n self.assertEqual(len(result), nSubs * nFiles)\n\n\n condorRM()\n time.sleep(1)\n\n # All jobs gone?\n nRunning = getCondorRunningJobs()\n self.assertEqual(nRunning, 0)\n\n\n testJobTracker.algorithm()\n time.sleep(5)\n\n # Running the algo without removing the jobs should do nothing\n result = getJobsAction.execute(state = 'Executing', jobType = \"Processing\")\n self.assertEqual(len(result), 0)\n result = getJobsAction.execute(state = 'Complete', jobType = \"Processing\")\n self.assertEqual(len(result), nSubs * nFiles)\n\n\n\n\n #################################################################\n # Now the JobAccountant\n\n # First you need to load all jobs\n\n\n self.getFWJRAction = self.daoFactory(classname = \"Jobs.GetFWJRByState\")\n completeJobs = self.getFWJRAction.execute(state = \"complete\")\n\n\n # Create reports for all jobs\n self.createReports(jobs = completeJobs, retryCount = 0)\n\n\n\n\n\n\n config.Agent.componentName = 'JobAccountant'\n testJobAccountant = JobAccountantPoller(config = config)\n testJobAccountant.setup()\n\n\n # It should do something with the jobs\n testJobAccountant.algorithm()\n\n\n # All the jobs should be done now\n result = getJobsAction.execute(state = 'Complete', jobType = \"Processing\")\n self.assertEqual(len(result), 0)\n result = getJobsAction.execute(state = 'Success', jobType = \"Processing\")\n self.assertEqual(len(result), nSubs * nFiles)\n\n\n\n #######################################################################\n # Now the JobArchiver\n\n\n config.Agent.componentName = 'JobArchiver'\n testJobArchiver = JobArchiverPoller(config = config)\n\n\n testJobArchiver.algorithm()\n\n # All the jobs should be cleaned up\n result = getJobsAction.execute(state = 'Success', jobType = \"Processing\")\n self.assertEqual(len(result), 0)\n result = getJobsAction.execute(state = 'Cleanout', jobType = \"Processing\")\n self.assertEqual(len(result), nSubs * nFiles)\n\n\n logDir = os.path.join(self.testDir, 'logs')\n\n for job in completeJobs:\n self.assertFalse(os.path.exists(job['fwjr_path']))\n jobFolder = 'JobCluster_%i' \\\n % (int(job['id']/config.JobArchiver.numberOfJobsToCluster))\n jobPath = os.path.join(logDir, jobFolder, 'Job_%i.tar' %(job['id']))\n self.assertTrue(os.path.isfile(jobPath))\n self.assertTrue(os.path.getsize(jobPath) > 0)\n\n\n\n\n ###########################################################################\n # Now the TaskAchiver\n\n\n config.Agent.componentName = 'TaskArchiver'\n testTaskArchiver = TaskArchiverPoller(config = config)\n\n\n testTaskArchiver.algorithm()\n\n\n result = getJobsAction.execute(state = 'Cleanout', jobType = \"Processing\")\n self.assertEqual(len(result), 0)\n\n\n for jdict in completeJobs:\n job = Job(id = jdict['id'])\n self.assertFalse(job.exists())\n\n\n\n\n\n if os.path.isdir('testDir'):\n shutil.rmtree('testDir')\n shutil.copytree('%s' %self.testDir, os.path.join(os.getcwd(), 'testDir'))\n\n\n\n\n return","def test_force(self, db, course_dir):\n run_nbgrader([\"db\", \"assignment\", \"add\", \"ps1\", \"--db\", db])\n run_nbgrader([\"db\", \"student\", \"add\", \"foo\", \"--db\", db])\n\n self._copy_file(join(\"files\", \"submitted-unchanged.ipynb\"), join(course_dir, \"source\", \"ps1\", \"p1.ipynb\"))\n self._make_file(join(course_dir, \"source\", \"ps1\", \"foo.txt\"), \"foo\")\n self._make_file(join(course_dir, \"source\", \"ps1\", \"data\", \"bar.txt\"), \"bar\")\n run_nbgrader([\"generate_assignment\", \"ps1\", \"--db\", db])\n\n self._copy_file(join(\"files\", \"submitted-unchanged.ipynb\"), join(course_dir, \"submitted\", \"foo\", \"ps1\", \"p1.ipynb\"))\n self._make_file(join(course_dir, \"submitted\", \"foo\", \"ps1\", \"foo.txt\"), \"foo\")\n self._make_file(join(course_dir, \"submitted\", \"foo\", \"ps1\", \"data\", \"bar.txt\"), \"bar\")\n run_nbgrader([\"autograde\", \"ps1\", \"--db\", db])\n\n self._make_file(join(course_dir, \"autograded\", \"foo\", \"ps1\", \"blah.pyc\"), \"asdf\")\n run_nbgrader([\"generate_feedback\", \"ps1\", \"--db\", db])\n\n assert isfile(join(course_dir, \"feedback\", \"foo\", \"ps1\", \"p1.html\"))\n assert isfile(join(course_dir, \"feedback\", \"foo\", \"ps1\", \"foo.txt\"))\n assert isfile(join(course_dir, \"feedback\", \"foo\", \"ps1\", \"data\", \"bar.txt\"))\n assert not isfile(join(course_dir, \"feedback\", \"foo\", \"ps1\", \"blah.pyc\"))\n\n # check that it skips the existing directory\n remove(join(course_dir, \"feedback\", \"foo\", \"ps1\", \"foo.txt\"))\n run_nbgrader([\"generate_feedback\", \"ps1\", \"--db\", db])\n assert not isfile(join(course_dir, \"feedback\", \"foo\", \"ps1\", \"foo.txt\"))\n\n # force overwrite the supplemental files\n run_nbgrader([\"generate_feedback\", \"ps1\", \"--db\", db, \"--force\"])\n assert isfile(join(course_dir, \"feedback\", \"foo\", \"ps1\", \"foo.txt\"))\n\n # force overwrite\n remove(join(course_dir, \"autograded\", \"foo\", \"ps1\", \"foo.txt\"))\n run_nbgrader([\"generate_feedback\", \"ps1\", \"--db\", db, \"--force\"])\n assert isfile(join(course_dir, \"feedback\", \"foo\", \"ps1\", \"p1.html\"))\n assert not isfile(join(course_dir, \"feedback\", \"foo\", \"ps1\", \"foo.txt\"))\n assert isfile(join(course_dir, \"feedback\", \"foo\", \"ps1\", \"data\", \"bar.txt\"))\n assert not isfile(join(course_dir, \"feedback\", \"foo\", \"ps1\", \"blah.pyc\"))","def test_import_process(self):\r\n good_file = self._get_file()\r\n imp = Importer(good_file, username=u\"admin\")\r\n imp.process()\r\n\r\n # now let's do some db sanity checks\r\n self._firefox_data_test()","def process(self):\n\n self.copy_supported_files()\n tex = self.replace_includes(file_name=self.source_tex_file)\n\n try:\n tex = self.replace_bibliography(tex)\n except Exception, ex:\n print '[e] exception {}'.format(str(ex))\n print '[i] bibliography was not replaced - run firstly \"build-latex-win\\\\_build.bat\" for bbl file'\n\n self.dir_helper.save_file(file_name=self.dest_tex_file, text=tex)\n self.create_bat_file()\n\n print '\\n[i] publication is ready - IN CASE NO ERROR ACCURED'\n print '[i] check foloder: \"{}\"\\n'.format(self.temp_dir)","def main():\n parser = argparse.ArgumentParser()\n parser.add_argument(\"-w\", \"--workflow_path\", help='Path to workflow file')\n parser.add_argument(\"-g\", \"--galaxy\",\n dest=\"galaxy_url\",\n help=\"Target Galaxy instance URL/IP address (required \"\n \"if not defined in the tools list file)\",)\n parser.add_argument(\"-a\", \"--apikey\",\n dest=\"api_key\",\n help=\"Galaxy admin user API key (required if not \"\n \"defined in the tools list file)\",)\n args = parser.parse_args()\n\n gi = galaxy.GalaxyInstance(url=args.galaxy_url, key=args.api_key)\n\n with open(args.workflow_path, 'r') as wf_file:\n import_uuid = json.load(wf_file).get('uuid')\n existing_uuids = [d.get('latest_workflow_uuid') for d in gi.workflows.get_workflows()]\n if import_uuid not in existing_uuids:\n gi.workflows.import_workflow_from_local_path(args.workflow_path)","def main():\n parser = optparse.OptionParser()\n\n parser.add_option(\n '-d',\n '--delete',\n action ='store_true',\n default = False,\n help = 'Delete each input file after successfully queing it' )\n\n parser.add_option(\n '-u',\n '--user',\n help = 'The username, email, or openid of the owner' )\n\n options, file_name_list = parser.parse_args()\n\n if not options.user:\n parser.error('User is required')\n\n if len(file_name_list) == 0:\n parser.error('No files specified')\n\n try:\n user = models.User.objects.get( email = options.user )\n except models.User.DoesNotExist:\n user = models.User.objects.get( username = options.user )\n\n processor = operations.initialize_processor(\n MODULE_NAME,\n DEFAULT_INPUTS,\n DEFAULT_OUTPUTS,\n DEFAULT_ACCEPTED_MIME_TYPES ) [0]\n\n # pylint: disable-msg=W0702\n # -> no exception type given\n for file_name in file_name_list:\n try:\n upload_file(processor, user, file_name)\n except:\n logging.exception('Failed to process %s' % file_name )\n else:\n if options.delete:\n os.remove(file_name)\n # pylint: enable-msg=W0702","def test_1_template_0_default_run_template_1(self):\n\n homedir,es = self.reg_ws.execute('echo ${HOME}')\n\n invoke_script = \"\"\"#!/bin/sh\n %(invoke_app_path)s -C \"%(test_program)s @@file(datafile1)\"\n \"\"\" % {'invoke_app_path' : INVOKE_APP_PATH,\n 'test_program' : TEST_PROGRAM_NAME}\n\n params_info = {\n 'datafile1' : {\n 'text' : 'this is datafile1',\n 'type' : 'file(datafile1)',\n 'path' : \"%s/datafile1\" % (homedir),\n },\n }\n\n expected_parameters = params_info['datafile1']['path']\n\n sessnum,parameters_text = pass_parameters(self.apps_ws, self.reg_ws,\n invoke_script, params_info,\n self.https_authority, self.reguser,\n self.regpass, self.browser,\n self.catalog, self.utils)\n\n self.close_sessions.append(sessnum)\n\n # log into the tool session container to get the list of parameters\n # passed into the test program. we check that the paramaters were\n # all found in our original parameters file we generated earlier.\n\n ws = self.session.access(session_number=sessnum)\n ws.execute('echo $SESSION')\n\n ws_params_text = retrieve_container_parameters(ws)\n ws_params_out = retrieve_program_output(ws,TEST_PROGRAM_PARAMS_FNAME)\n\n ws.close()\n\n # check that the TOOL_PARAMETERS file has the same info\n # as out parameters_text variable it was created from\n assert parameters_text == ws_params_text, \\\n \"TOOL_PARAMETERS file in container does not match data\" \\\n + \" sent through url.\\nexpected:\\n%s\\nreceived:\\n%s\\n\" \\\n % (repr(parameters_text),repr(ws_params_text))\n\n # check that toolparams started the correct tool based on\n # parameters passed into the container.\n assert expected_parameters == ws_params_out, \\\n \"expected parameters: %s\\nreceived parameters: %s\" \\\n % (repr(expected_parameters),repr(ws_params_out))","def main(args=sys.argv):\n try:\n # Set up logging.\n logging.basicConfig(level=logging.WARN)\n work_dir = args[1]\n assert os.path.exists(work_dir), \"First argument to lsf_runner.py must be a directory that exists\"\n do_work_on_compute_node(work_dir)\n except Exception as exc:\n # Dump encoded data that we will try to fetch using mechanize\n print(exc)\n raise","def createjob(args):\n ncell = args.ncell\n nmg = args.nmg\n nsi = args.nsi\n nvac = args.nvac\n a0 = args.a0\n temp = args.temp\n nseeds = args.nseeds\n seeds = args.seeds\n nsteps = args.nsteps\n foldername_append = args.foldername_append\n pot = args.pot\n submit = args.submit\n submitdebug = args.submitdebug\n submittime_hours = args.submittime_hours\n test = args.test\n testfiles = args.testfiles\n nodes = args.nodes\n verbose = args.verbose\n\n\n ### check if ase runner/quippy/lammpps-data formats are known\n ase_formats = mu.ase_get_known_formats_class(verbose=True)\n ase_formats.check_if_default_formats_known(copy_and_adapt_formatspy_anyhow=False)\n\n # definex ffsocket inet/unix\n if nodes == 1:\n ffsocket = \"unix\"\n elif nodes > 1:\n ffsocket = \"inet\"\n else:\n sys.exit(\"Number of nodes has to be positive!\")\n\n\n # define ntasks, neval\n lmp_par = 2 # = OMP_NUM_THREADS\n ntasks = cores = nodes * 28\n ipi_inst = 4 # for sure best on fidis\n neval = ipi_inst*2 # was alwasy better, for ompi and impi\n\n ##### get the seed(s).\n if type(seeds) == bool:\n seeds = random.sample(range(1, 999999), nseeds)\n print('seeds',seeds)\n if test == True:\n nseeds = 1\n seeds = [1]\n print('seeds',seeds)\n nseeds = len(seeds)\n\n ##### a few checks\n scripts = mu.scripts()\n mypot = mu.mypot(pot)\n if submit is True or submitdebug is True:\n hostcheck = os.environ[\"myhost\"]\n if hostcheck == \"\":\n sys.exit('host unknown 87')\n\n\n ##### here only chck if the potential can be set up. (in.lmp)\n ##### the same command is then executed for every kmc folder\n ace = mu.ase_calculate_ene(pot=pot,\n potpath=False,\n units='eV',geopt=False,kmc=True,verbose=verbose)\n ace.pot_get_and_ase_lmp_cmd(kmc=True,temp=temp,nsteps=nsteps,ffsocket=ffsocket)\n\n ##### if test\n if test == True:\n nsteps = 50\n\n file_ipi_input_runner = scripts + \"/i-pi-mc_scripts/input-runner.xml\"\n\n\n ####################################\n # get directory\n ####################################\n if verbose:\n print(\"get directory\")\n pcsi = nsi/ncell**3.*100\n pcmg = nmg/ncell**3.*100\n pcvac = nvac/ncell**3.*100\n if args.cubic == True:\n pc = \"cubic\"\n else:\n pc = \"primitive\"\n directory = str(ncell)+\"x\"+str(ncell)+\"x\"+str(ncell)+\"_\"+pc+\"_\"+pot+\"_\"+\\\n str(temp)+\"K_\"+\\\n str(nvac)+\"Vac_\"+str(nmg)+\"Mg_\"+str(nsi)+\"Si__\"+\\\n str(round(pcvac,3))+\"pctVac_\"+str(round(pcmg,3))+\"pctMg_\"+str(round(pcsi,3))+\"pctSi\"\n if foldername_append != \"\":\n directory = directory+\"_\"+foldername_append\n\n ###############################################\n # make the structure\n ###############################################\n atomsc_fakevac = mu.get_ase_atoms_object_kmc_al_si_mg_vac(ncell,nsi,nmg,nvac,a0,create_fake_vacancy = True,cubic=args.cubic)\n atomsc = mu.get_ase_atoms_object_kmc_al_si_mg_vac(ncell,nsi,nmg,nvac,a0,cubic=args.cubic)\n\n # make the atomic structure\n # this was to play ... not necessary now?\n if False:\n nndist = a0/np.sqrt(2.)\n\n from ase.io import read as ase_read\n from ase.io import write as ase_write\n\n ###############################################\n # get the amount of 1NN in a relly large cell\n ###############################################\n atomsc_fakevac_i = ase_read('dataxx.extxyz3',index=\":\",format='extxyz') # works, cell ist not changed\n #atomsc_fakevac_i = mu.get_ase_atoms_object_kmc_al_si_mg_vac(ncell=10,nsi=0,nmg=0,nvac=1,a0=a0,cubic=False,create_fake_vacancy = True,normal_ordering=\"XX_0\")\n #nn = mu.ase_get_neighborlist(atomsc_fakevac_i,atomnr=0,cutoff=3.,skin=0.1)\n #print(\"nn\",nn,'len',len(nn))\n #nn = mu.ase_get_neighborlist(atomsc_fakevac_i,atomnr=0,cutoff=8.5,skin=0.1)\n #print(\"nn\",nn,'len',len(nn))\n #sys.exit()\n\n print(len(atomsc_fakevac_i),type(atomsc_fakevac_i))\n\n for idx,i in enumerate(atomsc_fakevac_i):\n print('aa',atomsc_fakevac_i[idx].positions[0])\n #print('aa',i.positions[0])\n print('ipi')\n atomsc_fakevac_i = ase_read('dataxx.ipi2',index=\":\",format='ipi') # works, cell ist not changed\n print(len(atomsc_fakevac_i),type(atomsc_fakevac_i))\n for idx,i in enumerate(atomsc_fakevac_i):\n print('aa',atomsc_fakevac_i[idx].positions[0])\n #print('aa',i.positions[0])\n print('quippy')\n atomsc_fakevac_i = ase_read('dataxx.quippy.xyz2',index=\":\",format='quippy') # works, cell ist not changed\n\n\n\n filename = '../sim.xyz'\n filename = '../simulation.pos_0.xyz'\n mu.count_amount_1NN_around_vacancies(filename,cutoffa=nndist,cutoffb=a0,skin=0.1,format='ipi')\n sys.exit()\n\n def mysave_quippy_xyz(atomsc_fakevac,text=False):\n if type(text) == bool:\n sys.exit('define text')\n atomsc_fakevac.write('data.quippy.xyz',format='quippy',append=True)\n #atomsc_fakevac.write('data.xyz',format=\"extxyz\",append=True)\n atomsc_fakevac.write('data'+text+'.quippy.xyz',format='quippy',append=True)\n #atomsc_fakevac.write('data'+text+'.xyz',format=\"extxyz\",append=True)\n return\n\n # create Al with single vacancy\n atomsc_fakevac = mu.get_ase_atoms_object_kmc_al_si_mg_vac(ncell=5,nsi=0,nmg=0,nvac=1,a0=a0,cubic=False,create_fake_vacancy = True,normal_ordering=\"XX_0\")\n NN_1_indices, NN_2_indices = mu.ase_get_neighborlist_1NN_2NN(atomsc_fakevac,atomnr=0,cutoffa=nndist,cutoffb=a0,skin=0.1)\n #print('from ....',(atomsc_fakevac.positions)[0])\n #for i in NN_1_indices:\n # print((atomsc_fakevac.positions)[i])\n print('NN_1_indices (orig ):',NN_1_indices)\n print('NN_2_indices (orig ):',NN_2_indices)\n #sys.exit()\n atomsc_fakevac.write('dataxx.quippy.xyz',format='quippy',append=True)\n atomsc_fakevac.write('dataxx.poscar',format='vasp',append=True)\n atomsc_fakevac.write('dataxx.ipi',format='ipi',append=True) # works, currently so implemented that it canges cell\n atomsc_fakevac.write('dataxx.xyz',format='xyz',append=True)\n atomsc_fakevac.write('dataxx.extxyz',format='extxyz',append=True)\n atomsc_fakevac.write('dataxx.lammps-data',format='lammps-data',append=True)\n atomsc_fakevac.write('dataxx.lammps-runner',format='lammps-runner',append=True)\n\n atomsc_fakevac_a = ase_read('dataxx.extxyz',format='extxyz') # works, cell ist not changed\n atomsc_fakevac_a.write('dataxx.extxyz2',format='extxyz',append=True) # works, cell is not changed\n\n atomsc_fakevac_b = ase_read('dataxx.xyz',format='xyz') # not working # but this should work\n atomsc_fakevac_b.write('dataxx.xyz2',format='xyz',append=True) # this is working\n\n atomsc_fakevac_c = ase_read('dataxx.ipi',format='ipi') # works, currently so implemented that it canges cell\n #print('ipi cell',atomsc_fakevac_c.get_cell())\n\n atomsc_fakevac_c.write('dataxx.ipi2',format='ipi',append=True) # works, just writes the cell it gests.\n atomsc_fakevac_c.write('dataxx.ipi2_poscar',format='vasp',append=True) # works, just writes the cell it gests.\n NN_1_indices, NN_2_indices = mu.ase_get_neighborlist_1NN_2NN(atomsc_fakevac_c,atomnr=0,cutoffa=nndist,cutoffb=a0,skin=0.1)\n print('NN_1_indices (ipi ):',NN_1_indices)\n print('NN_2_indices (ipi ):',NN_2_indices)\n #print('from ....',(atomsc_fakevac_c.positions)[0])\n #for i in NN_1_indices:\n # print((atomsc_fakevac_c.positions)[i])\n\n atomsc_fakevac_cc = ase_read('dataxx.ipi2_poscar',format='vasp') # works, currently so implemented that it canges cell\n atomsc_fakevac_cc.write('dataxx.ipi2_poscar2',format='vasp',append=True)\n atomsc_fakevac_cc.write('dataxx.ipi2_poscar2_ipi',format='ipi',append=True) # works, just writes the cell it gests.\n #print('ipi cell2 (ext):',atomsc_fakevac_cc.get_cell())\n #print()\n #print('now quippy')\n atomsc_fakevac_d = ase_read('dataxx.quippy.xyz',format='quippy')\n #print('quippy cell (ext)',atomsc_fakevac_d.get_cell())\n atomsc_fakevac_d.write('dataxx.quippy.xyz2',format='quippy',append=True)\n atomsc_fakevac_d.write('dataxx.quippy.xyz2_extxyz',format='extxyz',append=True)\n NN_1_indices, NN_2_indices = mu.ase_get_neighborlist_1NN_2NN(atomsc_fakevac_d,atomnr=0,cutoffa=nndist,cutoffb=a0,skin=0.1)\n print('NN_1_indices (quippy):',NN_1_indices)\n print('NN_2_indices (quippy):',NN_2_indices)\n #print('from ....',(atomsc_fakevac_d.positions)[0])\n #for i in NN_1_indices:\n # print((atomsc_fakevac_d.positions)[i])\n path = \"/home/glensk/kmc/run_michele/Si6Mg6V1.1_/simulation.pos_libatom_2struct.xyz\"\n atomsc_fakevac_e = ase_read(path,format='quippy')\n\n NN_1_indices, NN_2_indices = mu.ase_get_neighborlist_1NN_2NN(atomsc_fakevac_e,atomnr=0,cutoffa=nndist,cutoffb=a0,skin=0.1)\n print('NN_1_indices (kmc ):',NN_1_indices)\n print('NN_2_indices (kmc ):',NN_2_indices)\n sys.exit()\n\n NN_1_indices = mu.ase_get_neighborlist(atomsc_fakevac,atomnr=0,cutoff=nndist,skin=0.1)\n NN_1_2_indices_tmp = mu.ase_get_neighborlist(atomsc_fakevac,atomnr=0,cutoff=a0,skin=0.1)\n print('NN_1_indices :',NN_1_indices)\n NN_2_indices = np.sort(np.array(mu.diff(NN_1_2_indices_tmp,NN_1_indices)))\n print('NN_2_indices :',NN_2_indices)\n NN_1_2_indices = np.concatenate((NN_1_indices, NN_2_indices ))\n print('NN_1_2_indices:',NN_1_2_indices)\n\n\n # fill only 1NN (with one species)\n for i in [ 'Mg', 'Si' ]:\n atomsc_fakevac = mu.get_ase_atoms_object_kmc_al_si_mg_vac(ncell=5,nsi=0,nmg=0,nvac=1,a0=a0,cubic=False,create_fake_vacancy = True,normal_ordering=\"XX_0\")\n mysave_quippy_xyz(atomsc_fakevac,text=\"1NN\")\n for ii in NN_1_indices:\n atomsc_fakevac[ii].symbol = i\n mysave_quippy_xyz(atomsc_fakevac,text=\"1NN\")\n\n # fill only 2NN (with one species)\n for i in [ 'Mg', 'Si' ]:\n atomsc_fakevac = mu.get_ase_atoms_object_kmc_al_si_mg_vac(ncell=5,nsi=0,nmg=0,nvac=1,a0=a0,cubic=False,create_fake_vacancy = True,normal_ordering=\"XX_0\")\n mysave_quippy_xyz(atomsc_fakevac,text=\"2NN\")\n for ii in NN_2_indices:\n atomsc_fakevac[ii].symbol = i\n mysave_quippy_xyz(atomsc_fakevac,text=\"2NN\")\n\n # fill 1NN and 2NN (with one species)\n for i in [ 'Mg', 'Si' ]:\n atomsc_fakevac = mu.get_ase_atoms_object_kmc_al_si_mg_vac(ncell=5,nsi=0,nmg=0,nvac=1,a0=a0,cubic=False,create_fake_vacancy = True,normal_ordering=\"XX_0\")\n mysave_quippy_xyz(atomsc_fakevac,text=\"1and2NN\")\n for ii in NN_1_2_indices:\n atomsc_fakevac[ii].symbol = i\n mysave_quippy_xyz(atomsc_fakevac,text=\"1and2NN\")\n\n # dif compositions in 1NN shell\n filling = [ 2,4,6,8,10]\n for fi in filling:\n atomsc_fakevac = mu.get_ase_atoms_object_kmc_al_si_mg_vac(ncell=5,nsi=0,nmg=0,nvac=1,a0=a0,cubic=False,create_fake_vacancy = True,normal_ordering=\"XX_0\")\n mysave_quippy_xyz(atomsc_fakevac,text=\"1NN_diffcomp\")\n for idx,ii in enumerate(NN_1_indices):\n if idx < fi: ch = \"Mg\"\n else: ch = \"Si\"\n atomsc_fakevac[ii].symbol = ch\n mysave_quippy_xyz(atomsc_fakevac,text=\"1NN_diffcomp\")\n\n\n sys.exit()\n\n #mu.ase_get_known_formats(show=True, add_missing_formats=False, copy_formats=False, verbose=False,show_formatspy=True)\n for i in [ 'Mg', 'Si' ]:\n for ii in [ 0,1,2,3,4,5]:\n atomsc_fakevac = mu.get_ase_atoms_object_kmc_al_si_mg_vac(ncell=5,nsi=0,nmg=0,nvac=1,a0=a0,cubic=False,create_fake_vacancy = True,normal_ordering=i+'_'+str(ii))\n\n\n sys.exit()\n\n\n # show the input variables\n print('--------------------------- check the input --------------------------------')\n print('JOBS (nseeds) ',nseeds,'(defined by -nseeds / or -seeds)')\n print('seeds ',seeds)\n print('nsteps ',nsteps)\n print()\n print('ncell ',ncell,\"(\",atomsc.get_number_of_atoms(),\"atoms )\")\n print('nsi ',nsi, \"(\",pcsi,\"at%)\")\n print('nmg ',nmg,\"(\",pcmg,\"at%)\")\n print('nvac ',nvac,\"(\",pcvac,\"at%)\")\n print('a0 ',a0,\"angstrom\")\n print('temp ',temp,\"K\")\n print()\n print('mypot.pot ',mypot.pot)\n print('mypot.potpath ',mypot.potpath)\n print()\n print('directory ',directory)\n print('submit ',submit)\n print('submitdebug ',submitdebug)\n print()\n print('nodes ',nodes)\n print('ffsocket ',ffsocket)\n #print('python ver ',sys.version_info[0])\n #print()\n print('--------------------------- check the input --------------------------------')\n if submit == True or submitdebug == True:\n mu.get_from_prompt_Yy_orexit(\"Are the ine input variables ok? [y]es: \")\n\n # make the directory\n if os.path.isdir(directory):\n mu.get_from_prompt_Yy_orexit(\"This main directory exists already, shall I add jobs? [y]es: \")\n mu.mkdir(directory)\n\n # create README.md\n IPI_COMMAND = os.environ[\"IPI_COMMAND\"]\n LAMMPS_COMMAND = os.environ[\"LAMMPS_COMMAND\"]\n mu.create_READMEtxt(directory,add=[\"# to start manually (1): python \"+IPI_COMMAND+\" input-runner.xml\",\"# to start manually (2):\"+LAMMPS_COMMAND+\" < in.lmp\"])\n\n for seed in seeds:\n\n # make jobdirectory\n jobdir = directory+'/seed'+str(seed)\n print('jobdir',jobdir)\n if os.path.exists(jobdir):\n sys.exit(\"jobdirectory \"+str(jobdir)+\" already exists!\")\n mu.mkdir(jobdir)\n\n # get data.lmp and data.ipi\n atomsc.write(jobdir+'/data.runnerformat.lmp',format='lammps-runner')\n atomsc_fakevac.write(jobdir+'/data.ipi',format='ipi')\n atomsc_fakevac.write(jobdir+'/data.extxyz',format='extxyz')\n #atomsc_fakevac.write(jobdir+'/data_fakevac.ipi',format='ipi')\n\n if testfiles == True:\n atomsc.write(jobdir+'/data.lmp',format='lammps-data')\n atomsc.write(jobdir+'/data.POSCAR',format='vasp')\n atomsc.write(jobdir+'/data.xyz',format='xyz')\n atomsc.write(jobdir+'/data.extxyz',format='extxyz')\n atomsc.write(jobdir+'/data.espresso-in',format='espresso-in')\n\n # create in.lmp\n ace = mu.ase_calculate_ene(pot=pot,potpath=mypot.potpath,\n units='eV',geopt=False,kmc=True,verbose=verbose)\n address = socket.gethostname()+\"_\"+os.path.basename(jobdir)\n print('address',address)\n ace.pot_get_and_ase_lmp_cmd(kmc=True,temp=temp,nsteps=nsteps,ffsocket=ffsocket,address=address)\n mu.lammps_write_inputfile(folder=jobdir,filename='in.lmp',positions='data.runnerformat.lmp',ace=ace)\n\n # create input-runner.xml (should be made without copying)\n mu.create_ipi_kmc_inputfile(jobdir,filename=\"input-runner.xml\",nsteps=nsteps,stride=100,seed=seed,a0=a0,ncell=ncell,nsi=nsi,nmg=nmg,nvac=nvac,neval=neval,temp=temp,nodes=nodes,address=address,testrun=test,cubic=args.cubic)\n\n # create submit-ipi-kmc.sh (should be made without copying)\n mu.create_submitskript_ipi_kmc(jobdir+\"/submit-ipi-kmc.sh\",nodes,ntasks,\n lmp_par=lmp_par,\n ipi_inst=ipi_inst,\n ffsocket=ffsocket,\n submittime_hours=submittime_hours,\n SBATCH=True)\n\n # create osubmit-ipi-kmc.sh (should be made without copying)\n mu.create_submitskript_ipi_kmc(jobdir+\"/osubmit-ipi-kmc.sh\",nodes,ntasks,\n lmp_par=lmp_par,\n ipi_inst=ipi_inst,\n ffsocket=ffsocket,\n submittime_hours=submittime_hours,\n SBATCH=False)\n\n # submit the job (execute either this or submit-ipi-kmc.sh_all3, not both)\n #mu.submitjob(submit=submit,submitdebug=submitdebug,jobdir=jobdir,submitskript=\"submit-ipi-kmc.sh\")\n\n # get submit-ipi-kmc.sh_all3 (should be made without copying)\n if nseeds == 3:\n mu.create_submitskript_ipi_kmc(directory+\"/submit-ipi-kmc.sh_all3\",nodes,ntasks,\n lmp_par=lmp_par,\n ipi_inst=ipi_inst,\n ffsocket=ffsocket,\n submittime_hours=submittime_hours,\n SBATCH=True,\n LOOPFOLDER=True)\n\n # submit the job (execute either this or submit-ipi-kmc.sh_all3, not both)\n #mu.submitjob(submit=submit,submitdebug=submitdebug,jobdir=directory,submitskript=\"submit-ipi-kmc.sh_all3\")\n if submit == True:\n mu.submitjob(submit_to_que=True,submit_to_debug_que=False,jobdir=directory,submitskript=\"submit-ipi-kmc.sh_all3\")\n\n\n print('done')\n return","def main():\n\n # this will analyze all files in the input_files directory\n for folder in [x for x in os.listdir(os.path.join(os.getcwd(), 'test_directory')) if os.path.isdir(os.path.join(os.getcwd(), 'test_directory', x))]:\n try:\n print(f'Creating GED_Repo for files in {folder}')\n g = GED_Repo([os.path.join(os.getcwd(), 'test_directory', folder, f) for f in os.listdir(os.path.join(os.getcwd(), 'test_directory', folder)) if f.endswith('.ged')])\n g.check_data()\n g.print_data()\n g.print_individuals()\n g.print_families()\n except ValueError as v:\n print(v)\n except FileNotFoundError as f:\n print(f)","def run(self, dataset_fixture, run_name_prefix=\"test\"):\n self.dataset = dataset_fixture\n self.set_project_shortname(run_name_prefix)\n self.upload_spreadsheet_and_create_submission()\n self.wait_for_ingest_to_process_spreadsheet_files_tab()\n self.get_upload_area_credentials()\n self.stage_data_files()\n self.wait_for_envelope_to_be_validated()\n if self.export_bundles:\n self.complete_submission()\n if run_name_prefix == \"scale\":\n # == Scaling Logic ==\n self.wait_for_primary_bundles_analysis_workflows_and_results_bundles()\n else:\n # == Non-scaling Logic ==\n self.wait_for_primary_bundles()\n self.wait_for_analysis_workflows()\n self.wait_for_secondary_bundles()\n\n self.assert_data_browser_bundles()\n if self.deployment != 'prod':\n self.retrieve_loom_output_from_matrix_service()\n\n if self.failure_reason:\n raise RuntimeError(self.failure_reason)","def main_tester():\n create_tester_paths()\n _logger.info(' -- tester init done setting up paths and db file.')","def setUp(self):\n input_files = glob.glob(PATH_TO_INPUT_FILES) # Read input (csv) files from current (sw/test) directory.\n if not self.sessionizing:\n self.sessionizing = Sessionizing()\n self.sessionizing.initialize(*input_files)\n if not self.sites_session_counter:\n self.merge_and_sort_input_files(*input_files)\n self.process_input_files()","def launch(self, force_prep=False):\n #TODO process upploaded csv\n assert self.ready()\n self.launch_progress = 0\n self.set_status(\"Gathering data\")\n if 'O' not in set(self.labels.dict.values()):\n self.add_labels({max(list(self.labels.dict.keys()))+1:'O'})\n\n processed_file_path = os.path.join(DATASETS_PATH, self.dataset_uuid, 'processed.csv')\n bert_file_path = os.path.join(DATASETS_PATH, self.dataset_uuid, 'processed.bert')\n elmo_file_path = os.path.join(DATASETS_PATH, self.dataset_uuid, 'processed.elmo')\n nlp_file_path = os.path.join(DATASETS_PATH, self.dataset_uuid, 'processed.nlp')\n sbert_file_path = os.path.join(DATASETS_PATH, self.dataset_uuid, 'processed.sbert')\n if os.path.exists(processed_file_path) and not force_prep:\n df = pd.read_csv(processed_file_path)\n if 'span_label' in df.columns:\n df['span_label']=df['span_label'].apply(eval)\n # Let's say loading the file is ~half the launch time\n # (if the file already exists)\n self.total = 2\n self.update(1)\n else:\n datafiles = [os.path.join(DATASETS_PATH, self.dataset_uuid, d) \\\n for d in os.listdir(os.path.join(DATASETS_PATH, self.dataset_uuid))]\n df = concat_dataset(datafiles)\n # expand total to account for time it takes to initialize the model\n self.total = len(df)*(1.1) \n self.set_status(\"Preprocessing data\")\n df = self.process_data(df, processed_file_path)\n\n # load list of 'allennlp.data.instance's. allennlp.data.instance can store true labels and tag info internally.\n if os.path.exists(nlp_file_path) and not force_prep:\n with open(nlp_file_path, 'rb') as f:\n sentences = pickle.load(f)\n else:\n #TODO define a universal reader for certain format\n # reader = RestaurantsDatasetReader()\n # data = reader.read(processed_file_path)\n #TODO handle when aux files do not exist\n pass\n bert_emb = np.load(bert_file_path, allow_pickle=True)\n elmo_emb = np.load(elmo_file_path, allow_pickle=True)\n sbert_emb = np.load(sbert_file_path, allow_pickle=True)\n for s, b, e, sb in zip(sentences, bert_emb, elmo_emb, sbert_emb):\n s.fields['bert'] = b\n s.fields['sbert'] = sb\n s.fields['elmo'] = e\n\n df['bert'] = bert_emb\n df['sbert'] = [sb for sb in sbert_emb]\n df['elmo'] = elmo_emb\n df['text_nlp'] = sentences\n\n columns_to_drop = list(\n set(df.columns).intersection(set(['span_label','file','label'])))\n df = df.drop(columns=columns_to_drop).reset_index()\n # since df['text_nlp'] contains true label info, drop 'labels' column.\n columns_to_drop = list(set(df.columns).difference(set(['index', 'Unnamed: 0', 'text', 'labels', 'split', 'bert', 'sbert',\n 'elmo', 'text_nlp'])))\n if len(columns_to_drop) > 0:\n df = df.drop(columns=columns_to_drop)\n df_train = df[df['split']=='train']\n df_dev = df[df['split'] == 'dev']\n df_valid = df[df['split'] == 'valid']\n df_test = df[df['split'] == 'test']\n\n self.text_inv_dict = dict(\n zip(list(df['text']),list(df.index))\n )\n\n # TODO split heldout set if necessary\n # for now, passing empty df as heldout set\n df_heldout = df_test\n\n self.emb_dict = Embeddings(df)\n\n self.set_status(\"Initializing modeler\")\n self.modeler = Modeler(df_train, df_dev, df_valid, df_test, df_heldout, self.labels, emb_dict=self.emb_dict)\n\n self.launch_progress = 1.0\n self.set_status(\"Finished\")\n return self.modeler","def test_force_f(self, db, course_dir):\n run_nbgrader([\"db\", \"assignment\", \"add\", \"ps1\", \"--db\", db])\n run_nbgrader([\"db\", \"student\", \"add\", \"foo\", \"--db\", db])\n\n self._copy_file(join(\"files\", \"submitted-unchanged.ipynb\"), join(course_dir, \"source\", \"ps1\", \"p1.ipynb\"))\n self._make_file(join(course_dir, \"source\", \"ps1\", \"foo.txt\"), \"foo\")\n self._make_file(join(course_dir, \"source\", \"ps1\", \"data\", \"bar.txt\"), \"bar\")\n run_nbgrader([\"generate_assignment\", \"ps1\", \"--db\", db])\n\n self._copy_file(join(\"files\", \"submitted-unchanged.ipynb\"), join(course_dir, \"submitted\", \"foo\", \"ps1\", \"p1.ipynb\"))\n self._make_file(join(course_dir, \"submitted\", \"foo\", \"ps1\", \"foo.txt\"), \"foo\")\n self._make_file(join(course_dir, \"submitted\", \"foo\", \"ps1\", \"data\", \"bar.txt\"), \"bar\")\n run_nbgrader([\"autograde\", \"ps1\", \"--db\", db])\n\n self._make_file(join(course_dir, \"autograded\", \"foo\", \"ps1\", \"blah.pyc\"), \"asdf\")\n run_nbgrader([\"generate_feedback\", \"ps1\", \"--db\", db])\n\n assert isfile(join(course_dir, \"feedback\", \"foo\", \"ps1\", \"p1.html\"))\n assert isfile(join(course_dir, \"feedback\", \"foo\", \"ps1\", \"foo.txt\"))\n assert isfile(join(course_dir, \"feedback\", \"foo\", \"ps1\", \"data\", \"bar.txt\"))\n assert not isfile(join(course_dir, \"feedback\", \"foo\", \"ps1\", \"blah.pyc\"))\n\n # check that it skips the existing directory\n remove(join(course_dir, \"feedback\", \"foo\", \"ps1\", \"foo.txt\"))\n run_nbgrader([\"generate_feedback\", \"ps1\", \"--db\", db])\n assert not isfile(join(course_dir, \"feedback\", \"foo\", \"ps1\", \"foo.txt\"))\n\n # force overwrite the supplemental files\n run_nbgrader([\"generate_feedback\", \"ps1\", \"--db\", db, \"-f\"])\n assert isfile(join(course_dir, \"feedback\", \"foo\", \"ps1\", \"foo.txt\"))\n\n # force overwrite\n remove(join(course_dir, \"autograded\", \"foo\", \"ps1\", \"foo.txt\"))\n run_nbgrader([\"generate_feedback\", \"ps1\", \"--db\", db, \"--force\"])\n assert isfile(join(course_dir, \"feedback\", \"foo\", \"ps1\", \"p1.html\"))\n assert not isfile(join(course_dir, \"feedback\", \"foo\", \"ps1\", \"foo.txt\"))\n assert isfile(join(course_dir, \"feedback\", \"foo\", \"ps1\", \"data\", \"bar.txt\"))\n assert not isfile(join(course_dir, \"feedback\", \"foo\", \"ps1\", \"blah.pyc\"))","def test_import_process(self):\r\n good_file = self._get_file()\r\n imp = Importer(good_file, username=u\"admin\")\r\n imp.process()\r\n\r\n # now let's do some db sanity checks\r\n self._chrome_data_test()","def submit_step(root_dir, config, step):\r\n\r\n premable = \"\"\"\r\n export PATH=~/project-pasaniuc/software/anaconda3/bin:$PATH\r\n export PYTHONNOUSERSITE=True\r\n \"\"\"\r\n\r\n assert(step in ['mean_std', 'beta', 'phe_g', 'phe', 'zsc'])\r\n script ='python gwas_sim.py --step {step} --root_dir {root_dir}'.format(step=step, root_dir=root_dir)\r\n \r\n if step in ['mean_std', 'phe_g', 'zsc']:\r\n script += ' --part_i $((SGE_TASK_ID - 1))'\r\n job_num = config['num_part']\r\n else:\r\n job_num = 1\r\n print(script)\r\n \r\n if step == 'mean_std':\r\n memory = '4G'\r\n duration='00:20:00'\r\n elif step == 'beta':\r\n memory = '4G'\r\n duration='00:05:00'\r\n elif step == 'phe_g' or step == 'zsc':\r\n memory = '6G'\r\n duration='01:00:00'\r\n elif step == 'phe':\r\n memory = '6G'\r\n duration='00:10:00'\r\n else:\r\n assert(False)\r\n \r\n submit_script(script=script, \r\n premable=premable,\r\n jobnum=job_num,\r\n name=step,\r\n memory=memory,\r\n duration=duration)","def _generate_and_load_initial_batch(self, working_directory: Path):\n\n template_dir = Path(working_directory) / \"template_1\"\n template_dir.mkdir()\n # changes here should often be reflected in\n # data_generator_opts and data_loader_opts\n\n channel_decl = self.channel_configs[0]\n\n plugin_options = {\n \"pid\": \"0\",\n \"big_ids\": \"True\",\n }\n # if it's efficient to do the whole load in one go, let's just do that.\n if self.run_until.gap < MIN_PORTION_SIZE:\n num_records = self.run_until.gap\n else:\n num_records = 1 # smallest possible batch to get to parallelizing fast\n results = self._generate_and_load_batch(\n template_dir,\n channel_decl.org_config,\n {\n \"generator_yaml\": self.options.get(\"recipe\"),\n \"num_records\": num_records,\n \"num_records_tablename\": self.run_until.sobject_name or COUNT_REPS,\n \"loading_rules\": self.loading_rules,\n \"vars\": channel_decl.merge_recipe_options(self.recipe_options),\n \"plugin_options\": plugin_options,\n \"bulk_mode\": self.bulk_mode,\n },\n )\n self.update_running_totals_from_load_step_results(results)\n\n # rename directory to reflect real number of sets created.\n wd = SnowfakeryWorkingDirectory(template_dir)\n if self.run_until.sobject_name:\n self.sets_finished_while_generating_template = wd.get_record_counts()[\n self.run_until.sobject_name\n ]\n else:\n self.sets_finished_while_generating_template = num_records\n\n new_template_dir = data_loader_new_directory_name(template_dir, self.run_until)\n shutil.move(template_dir, new_template_dir)\n template_dir = new_template_dir\n\n # don't send data tables to child processes. All they\n # care about are ID->OID mappings\n wd = SnowfakeryWorkingDirectory(template_dir)\n self._cleanup_object_tables(*wd.setup_engine())\n\n return template_dir, wd.relevant_sobjects()","def make_submission(commit: CommitDetails):\n\n submitter, commit_id = commit.submitter, commit.commit_id\n\n subprocess.run(f\"git checkout --force {commit_id}\", shell=True, stdout=subprocess.DEVNULL,\n stderr=subprocess.DEVNULL, cwd=f\"{SUBS_DIR}/{submitter}/{ASSIGNMENT}\", check=True)\n\n submission_path = os.path.realpath(f\"{SUBS_DIR}/{submitter}/{ASSIGNMENT}\")\n subprocess.run(f\"./add_sub_manually.sh {submission_path}\", shell=True, check=False)","def run_file(self, user_input):\n # Extract the important information\n self.path, self.name = self.extractor.extract_program_information(user_input)\n\n # Determine what language the program is\n program_type = self.determine_program_type(path, name)\n\n # If the file is python, run it the specific way\n # @TODO: Make it work without shell=True\n if program_type == \"python\":\n subprocess.Popen(\"python \" + self.path + self.name, shell=True)","def main():\r\n parser = get_parser()\r\n config = parser.parse_args(['--cfg', 'config.yaml'])\r\n result_filing.init_config_vars(config)\r\n run_id = config.info.run_id\r\n logger = custom_logger.CustomLogger(run_id+':'+file_id)\r\n\r\n operation = config.info.operation_type\r\n logger.info(\"Selected operation type %s.\"%(operation))\r\n if operation == const.TRAIN_OP:\r\n train.train_model(config)\r\n elif operation == const.DEPLOY_OP:\r\n test.test_model(config)","def go():\n u_input = UserInput()\n\n # Locates important folders\n input_folder = u_input.get_input_folder()\n working_folder = u_input.get_working_folder()\n output_folder = u_input.get_output_folder()\n\n # Remaining information of the configuration file\n sequence_type = u_input.get_sequence_type()\n protein_type = u_input.get_protein_type()\n check_settings(sequence_type, protein_type)\n accession_ncbi_list = u_input.get_genome_accessions()\n user_email = u_input.get_user_email()\n distance_function = u_input.get_distance_function()\n e_value = u_input.get_e_value()\n cutoff = u_input.get_cutoff()\n replicates = u_input.get_replicates()\n blast_word_size = u_input.get_blast_word_size()\n\n # Output files configuration\n majority_or_support_tree = u_input.get_phylogenetic_tree_type()\n original_newick_tree = u_input.get_original_newick_tree()\n original_distance_matrix = u_input.get_original_distance_matrix()\n bootstrap_distance_matrix = u_input.get_bootstrap_distance_matrix()\n\n # Deletes old content from files\n delete_folder_content(working_folder)\n # delete_folder_content(output_folder)\n\n # Downloads NCBI files\n access_ncbi(accession_ncbi_list, user_email, input_folder)\n\n # Preprocessing phase\n n_files = 0\n error_list = []\n preprocess_phase = Preprocess()\n for file in os.listdir(\"../\" + input_folder): # Navigates into the input_folder\n n_files += 1\n error_list = preprocess_phase.preprocessing_phase(file, input_folder, sequence_type, protein_type, working_folder)\n\n # Displays a list of error detected in the preprocessing code\n display_error_messages(error_list)\n\n if len(error_list) < n_files - 1:\n alignment = Blast()\n # Builds a database\n distance_dictionary, coverage_vector_dictionary = alignment.make_blast_database(\n sequence_type, working_folder, e_value, blast_word_size)\n print(\"Sequence alignment has been done\")\n\n # Calculates distances and generates a phylogenetic tree in newick format\n phylogeny_tree = Phylogeny()\n print(\"Creating phylogenetic trees\")\n newick_tree = phylogeny_tree.get_newick_tree(coverage_vector_dictionary, distance_dictionary, distance_function,\n replicates, working_folder, output_folder,\n original_distance_matrix, bootstrap_distance_matrix,\n original_newick_tree)\n\n # Read and concatenates trees from files\n tree_list = phylogeny_tree.get_tree_list(working_folder)\n\n # Generates a consensus trees with or without support\n if majority_or_support_tree in [\"Support\", \"support\"]:\n phylogeny_tree.get_support_tree(newick_tree, tree_list, output_folder)\n elif majority_or_support_tree in [\"Majority\", \"majority\"]:\n phylogeny_tree.majority_consensus_tree(output_folder, tree_list, cutoff)\n else:\n if majority_or_support_tree in [\"Both\", \"both\"]:\n phylogeny_tree.get_support_tree(newick_tree, tree_list, output_folder)\n phylogeny_tree.majority_consensus_tree(output_folder, tree_list, cutoff)\n else:\n print(\"No majority tree consensus or support tree will be calculated\")\n else:\n print('\\n', \"At least two correct sequences to compare are needed. Please, check the error list to solve the \"\n \"detected problems and the content of the '\" + input_folder + \"' folder.\")","def main():\n parser = argparse.ArgumentParser(\n description=\"Script that splits a list of files of vtb trees into train/dev/test sets\",\n )\n parser.add_argument(\n 'org_dir',\n help='The location of the original directory storing correctly formatted vtb trees '\n )\n parser.add_argument(\n 'split_dir',\n help='The location of new directory storing the train/dev/test set'\n )\n\n args = parser.parse_args()\n\n org_dir = args.org_dir\n split_dir = args.split_dir\n\n random.seed(1234)\n\n split_files(org_dir, split_dir)","def main():\n\n while 1:\n answer = input(\"Would you like replay the entire history of all commits in all submissions, \"\n \"or just submit the current version of submissions?\\n(full_history/current): \")\n if answer == \"full_history\":\n full_history = True\n break\n elif answer == \"current\":\n full_history = False\n break\n else:\n print(\"Error: unexpected value '{}'. Please choose one of (full_history/current)\")\n\n if not verify_submissions_valid():\n print(\"Errors must be corrected in test/submissions before testing can be run\")\n exit(1)\n\n if subprocess.run(\"python3.8 backend.py check_config\", shell=True, check=False).returncode != 0:\n print(\"Error with tournament configuration. Stopping testing\")\n exit(1)\n\n # Ensure tournament is online\n subprocess.run(\"python3.8 backend.py start_tournament\", shell=True, check=False)\n time.sleep(2)\n\n print()\n print(\"=========================\")\n commit_details = get_details_all_commits(full_history)\n print()\n commit_details = strip_unneeded_commits(commit_details)\n print(\"=========================\")\n print()\n\n i = 0\n for commit_detail in commit_details:\n i += 1\n print(f\"\\n({i}/{len(commit_details)}) {commit_detail}\")\n make_submission(commit_detail)","def train_projector(self, train_files, projector_file):\n # save something\n bob.io.base.save(_data, projector_file)","def main():\n\n ############################ variable settings #################################\n parser = argparse.ArgumentParser(description='Run Subtask C of GermEval 2017 Using Pre-Trained Language Model.')\n parser.add_argument('--seed', type=int, default=42, help='Random seed.')\n parser.add_argument('--lang_model', type=str, default='bert-base-german-dbmdz-uncased', help='The pre-trained language model.')\n parser.add_argument('--epochs', type=int, default=4, help='Number of epochs for training.')\n parser.add_argument('--lr', type=float, default=5e-5, help='The learning rate.')\n parser.add_argument('--max_len', type=int, default=256, help='The maximum sequence length of the input text.')\n parser.add_argument('--batch_size', type=int, default=32, help='Your train set batch size.')\n parser.add_argument('--df_path', type=str, default='./data/', help='The data directory.') \n parser.add_argument('--train_data', type=str, default='train_df_cat.tsv', help='The filename of the input train data.')\n parser.add_argument('--dev_data', type=str, default='dev_df_cat.tsv', help='The filename of the input development data.')\n parser.add_argument('--test_data1', type=str, default='test_syn_df_cat.tsv', help='The filename of the first input test data (synchronic).')\n parser.add_argument('--test_data2', type=str, default='test_dia_df_cat.tsv', help='The filename of the second input test data (diachronic).')\n parser.add_argument('--output_path', type=str, default='./output/subtaskC/', help='The output directory of the model and predictions.')\n parser.add_argument(\"--train\", default=True, action=\"store_true\", help=\"Flag for training.\")\n parser.add_argument(\"--save_prediction\", default=False, action=\"store_true\", help=\"Flag for saving predictions.\")\n parser.add_argument(\"--save_cr\", default=False, action=\"store_true\", help=\"Flag for saving confusion matrix.\")\n parser.add_argument(\"--exclude_general\", default=False, action=\"store_true\", help=\"Flag for excluding category Allgemein.\")\n parser.add_argument(\"--exclude_neutral\", default=False, action=\"store_true\", help=\"Flag for excluding neutral polarity.\")\n parser.add_argument(\"--exclude_general_neutral\", default=False, action=\"store_true\", help=\"Flag for excluding category Allgemein:neutral.\")\n args = parser.parse_args()\n ################################################################################\n set_all_seeds(args.seed)\n device, n_gpu = initialize_device_settings(use_cuda=True)\n \n # Load data\n train_df = pd.read_csv(args.df_path + args.train_data, delimiter = '\\t')\n dev_df = pd.read_csv(args.df_path + args.dev_data, delimiter = '\\t')\n test_syn_df = pd.read_csv(args.df_path + args.test_data1, delimiter = '\\t')\n test_dia_df = pd.read_csv(args.df_path + args.test_data2, delimiter = '\\t')\n \n # Create a tokenizer\n lower_case = False\n if args.lang_model[-7:] == \"uncased\":\n lower_case = True\n\n if args.lang_model[:4] == \"bert\":\n model_class = \"BERT\"\n tokenizer = BertTokenizer.from_pretrained(args.lang_model, do_lower_case=lower_case, max_length=args.max_len)\n \n if args.lang_model[:10] == \"distilbert\":\n model_class = \"DistilBERT\"\n tokenizer = DistilBertTokenizer.from_pretrained(args.lang_model, do_lower_case=lower_case, max_length=args.max_len)\n \n\n # get training features\n cats = train_df.columns[5:]\n end = \"full\"\n # exclude categories if required\n if (args.exclude_general):\n cats = [i for i in list(cats) if \"Allgemein\" not in i]\n end = \"excl_gen\"\n if (args.exclude_neutral):\n cats = [i for i in list(cats) if \"neutral\" not in i]\n end = \"excl_neu\"\n if (args.exclude_general_neutral):\n cats = [i for i in list(cats) if \"Allgemein:neutral\" not in i]\n end = \"excl_genneu\"\n \n num_labels = len(list(cats))\n\n # create one hot labels\n train_df['one_hot_labels'] = list(train_df[list(cats)].values)\n dev_df['one_hot_labels'] = list(dev_df[list(cats)].values)\n test_syn_df['one_hot_labels'] = list(test_syn_df[list(cats)].values)\n test_dia_df['one_hot_labels'] = list(test_dia_df[list(cats)].values)\n\n # retrieve sentences and labels\n df = pd.concat([train_df, dev_df])\n sentences = df.text.values\n labels = list(df.one_hot_labels.values) \n\n sentences_syn = test_syn_df.text.values\n labels_syn = list(test_syn_df.one_hot_labels.values)\n\n sentences_dia = test_dia_df.text.values\n labels_dia = list(test_dia_df.one_hot_labels.values)\n \n print(\"number of categories:\", len(list(cats)))\n\n # Tokenize all of the sentences and map the tokens to their word IDs. \n input_ids = [tokenizer.encode(sent, add_special_tokens=True, truncation=True, \n max_length=args.max_len) for sent in sentences]\n input_ids = pad_sequences(input_ids, maxlen=args.max_len, dtype=\"long\", \n value=0.0, truncating=\"post\", padding=\"post\")\n # Create attention masks\n attention_masks = [[int(token_id > 0) for token_id in sent] for sent in input_ids]\n \n # synchronic test data\n input_ids_syn = [tokenizer.encode(sent, add_special_tokens=True, truncation=True) for sent in sentences_syn]\n input_ids_syn = pad_sequences(input_ids_syn, maxlen=args.max_len, dtype=\"long\", \n value=0.0, truncating=\"post\", padding=\"post\")\n attention_masks_syn = [[int(token_id > 0) for token_id in sent] for sent in input_ids_syn]\n \n # diachronic test data\n input_ids_dia = [tokenizer.encode(sent, add_special_tokens=True, truncation=True) for sent in sentences_dia]\n input_ids_dia = pad_sequences(input_ids_dia, maxlen=args.max_len, dtype=\"long\", \n value=0.0, truncating=\"post\", padding=\"post\")\n attention_masks_dia = [[int(token_id > 0) for token_id in sent] for sent in input_ids_dia]\n\n # split train, dev\n train_inputs, train_labels, dev_inputs, dev_labels, train_masks, dev_masks = split_train_dev(\n train_df, dev_df, attention_masks, input_ids, labels)\n \n # transform to torch tensor\n train_inputs = torch.tensor(train_inputs)\n dev_inputs = torch.tensor(dev_inputs)\n\n train_labels = torch.tensor(train_labels)\n dev_labels = torch.tensor(dev_labels)\n\n train_masks = torch.tensor(train_masks)\n dev_masks = torch.tensor(dev_masks)\n\n test_syn_inputs = torch.tensor(input_ids_syn)\n test_syn_masks = torch.tensor(attention_masks_syn)\n test_syn_labels = torch.tensor(labels_syn)\n\n test_dia_inputs = torch.tensor(input_ids_dia)\n test_dia_masks = torch.tensor(attention_masks_dia)\n test_dia_labels = torch.tensor(labels_dia)\n\n # Create the DataLoader\n train_dataloader = create_dataloader(train_inputs, train_masks, \n train_labels, args.batch_size, train = True)\n\n dev_dataloader = create_dataloader(dev_inputs, dev_masks, \n dev_labels, args.batch_size, train = False)\n\n test_syn_dataloader = create_dataloader(test_syn_inputs, test_syn_masks, \n test_syn_labels, args.batch_size, \n train = False)\n\n test_dia_dataloader = create_dataloader(test_dia_inputs, test_dia_masks, \n test_dia_labels, args.batch_size, \n train = False)\n\n # Create model\n if args.train:\n if model_class == \"BERT\":\n config = BertConfig.from_pretrained(args.lang_model, num_labels=num_labels) \n config.hidden_dropout_prob = 0.1 \n model = BertForSequenceClassification.from_pretrained(\n args.lang_model,\n num_labels = num_labels,\n output_attentions = False,\n output_hidden_states = False\n )\n\n if model_class == \"DistilBERT\":\n config = DistilBertConfig.from_pretrained(args.lang_model, num_labels=num_labels) \n config.hidden_dropout_prob = 0.1 \n model = DistilBertForSequenceClassification.from_pretrained(\n args.lang_model,\n num_labels = num_labels,\n output_attentions = False,\n output_hidden_states = False\n )\n model.cuda()\n\n\n # Create an optimizer\n param_optimizer = list(model.named_parameters())\n no_decay = ['bias', 'LayerNorm.weight']\n optimizer_grouped_parameters = [\n {'params': [p for n, p in param_optimizer if not any(nd in n for nd in no_decay)],\n 'weight_decay_rate': 0.01},\n {'params': [p for n, p in param_optimizer if any(nd in n for nd in no_decay)],\n 'weight_decay_rate': 0.0}\n ]\n optimizer = AdamW(\n optimizer_grouped_parameters,\n lr=args.lr,\n eps = 1e-8\n )\n # Total number of training steps = number of batches * number of epochs\n total_steps = len(train_dataloader) * args.epochs\n # Create the learning rate scheduler\n scheduler = get_linear_schedule_with_warmup(\n optimizer,\n num_warmup_steps=0,\n num_training_steps=total_steps\n )\n \n # train model\n # Main Loop\n print(\"=================== Train ================\")\n print(\"##### Language Model:\", args.lang_model, \",\", \"learning rate:\", args.lr)\n print()\n\n track_time = time.time()\n # trange is a tqdm wrapper around the normal python range\n for epoch in trange(args.epochs, desc=\"Epoch\"):\n print(\"Epoch: %4i\"%epoch, dt.datetime.now())\n\n model, optimizer, scheduler, tr_loss = train_multilabel(\n train_dataloader=train_dataloader, \n model=model, \n device=device, \n optimizer=optimizer, \n scheduler=scheduler, \n num_labels=num_labels\n )\n # EVALUATION: TRAIN SET\n pred_bools_train, true_bools_train, f1_train = eval_multilabel(\n train_dataloader, model=model, device=device)\n print(\"TRAIN: micro F1 %.3f\"%(f1_train))\n \n # EVALUATION: DEV SET\n pred_bools_dev, true_bools_dev, f1_dev = eval_multilabel(\n dev_dataloader, model=model, device=device)\n print(\"EVAL: micro F1 %.3f\"%(f1_dev))\n \n\n print(\" Training and validation took in total: {:}\".format(format_time(time.time()-track_time)))\n\n # EVALUATION: TEST SYN SET\n pred_bools_syn, true_bools_syn, f1_test_syn = eval_multilabel(\n test_syn_dataloader, model=model, device=device)\n print(\"TEST SYN: micro F1 %.4f\"%(f1_test_syn))\n\n # classification report\n clf_report_syn = classification_report(true_bools_syn, pred_bools_syn, target_names=cats, digits=3)\n print(clf_report_syn)\n\n\n # EVALUATION: TEST DIA SET\n pred_bools_dia, true_bools_dia, f1_test_dia = eval_multilabel(\n test_dia_dataloader, model=model, device=device\n )\n print(\"TEST DIA: micro F1 %.4f\"%(f1_test_dia))\n\n # classification report\n clf_report_dia = classification_report(true_bools_dia, pred_bools_dia, target_names=cats, digits=3)\n print(clf_report_dia)\n \n if args.save_cr:\n pickle.dump(clf_report_syn, open(args.output_path+'clf_report_'+args.lang_model+'_test_syn_'+str(num_labels)+end+'.txt','wb'))\n pickle.dump(clf_report_dia, open(args.output_path+'clf_report_'+args.lang_model+'_test_dia_'+str(num_labels)+end+'.txt','wb'))\n\n\n if args.save_prediction:\n test_syn_df[\"category_pred\"] = pred_bools_syn\n test_dia_df[\"category_pred\"] = pred_bools_dia\n test_syn_df.category_pred.to_csv(args.output_path+args.lang_model+'_test_syn_'+str(num_labels)+end+\".tsv\", \n sep=\"\\t\", index = False, header = True, encoding = \"utf-8-sig\")\n test_dia_df.category_pred.to_csv(args.output_path+args.lang_model+'_test_dia_'+str(num_labels)+end+\".tsv\", \n sep=\"\\t\", index = False, header = True, encoding = \"utf-8-sig\")","def test_basic_workflow(self):\n\n test_data_dir = os.path.join(os.path.dirname(__file__), 'testdata')\n sys.path.append(test_data_dir)\n import basic\n tmpdir = tempfile.mkdtemp()\n package_path = os.path.join(tmpdir, 'workflow.tar.gz')\n try:\n compiler.Compiler().compile(basic.save_most_frequent_word, package_path)\n with open(os.path.join(test_data_dir, 'basic.yaml'), 'r') as f:\n golden = yaml.load(f)\n compiled = self._get_yaml_from_tar(package_path)\n\n self.maxDiff = None\n # Comment next line for generating golden yaml.\n self.assertEqual(golden, compiled)\n finally:\n # Replace next line with commented line for gathering golden yaml.\n shutil.rmtree(tmpdir)\n # print(tmpdir)","def main():\n\n browser = initialize()\n process_directory(browser, \"data\")\n browser.close()","def __init__(self, root_path):\n self.root_path = root_path\n # Immutable data entries\n self.uid = None\n self.commit_sha = None\n self.timestamp = None\n self.filename = None\n self.comment = None\n # Mutable data entries\n self.train_data = {} # anything produced during training, epoch by epoch\n self.val_data = {} # results of intermediate tests during training\n self.test_data = {} # results of a test\n self.model_files = [] # saved model parameters\n self.custom_data = {} # whatever the user might like to save\n # Load everything from the data file\n if not self._create_flag:\n self.deserialize()","def run_min():\n\n # Takes the current path of the command line\n cur_dir = os.getcwd()\n os.chdir(cur_dir)\n\n parse = argparse.ArgumentParser(\n description='httptesting HTTP(s) interface testing framework.',\n prog='httptesting'\n )\n parse.add_argument(\n \"-v\",\n \"--version\",\n action='version',\n version=\"%(prog)s {}\".format(__version__),\n help='Framework version.'\n )\n parse.add_argument(\n \"-f\",\n \"--file\",\n nargs='+',\n default='',\n help='The file path; File absolute or relative path.'\n )\n parse.add_argument(\n \"-d\",\n \"--dir\",\n default='',\n help='The folder path; folder absolute or relative path.'\n )\n parse.add_argument(\n \"-sp\",\n \"--startproject\",\n default='',\n help='Generate test case templates.'\n )\n parse.add_argument(\n \"-conf\",\n \"--config\",\n nargs=\"+\",\n default='',\n help='Basic setting of framework.'\n )\n parse.add_argument(\n \"-har\",\n default='',\n help='Convert the har files to YAML. har file is *.har'\n )\n parse.add_argument(\n \"-c\",\n \"--convert\",\n default='',\n help='Convert the har files to YAML. YAML file is *.yaml'\n )\n\n # Command line arguments are assigned to varibales.\n args = parse.parse_args()\n case_file = args.file\n case_dir = args.dir\n start_project = args.startproject\n config = args.config\n har = args.har\n vert = args.convert\n\n # convert YAML.\n _convert_case_to_yaml(vert)\n\n # Convert har files to YAML.\n _convert_httphar_to_yaml(har)\n\n # Setting global var.\n _parse_config(config)\n\n # False work.\n _false_work(start_project)\n\n # Write file absolute path to file.\n # Get the yaml file name and write to the queue.\n\n _get_file_yaml(case_file)\n _get_dirs_case_yaml(case_dir)\n # Began to call.\n RunTestCase.invoke()","def MainUserInterface():\n print(\"---Shiva Govindaraju COEN 242 Assignment 1 --- Top K Words---\")\n\n runOption = int(input(\"Would you like to run the Generic Test or a Specific Test? (0 - Generic; 1 - Specific): \"))\n \n if runOption == 0:\n print(runGenericTests())\n\n elif runOption == 1:\n print(\"Running Specific Test.\")\n \n # Request for Input\n filename = input(\"Which file would you like to run on?: \")\n k = int(input(\"Set the number of words to output (k): \"))\n shards = int(input(\"How many shards should be used? (Recommended [1, 5000]): \"))\n \n # Ensure Shard Count is within exepected values\n while (shards > 5000 or shards < 1):\n nsh = input(\"That shard-count is higher than recommended. Please input shard-count [1,5000]: \")\n shards = int(nsh)\n \n #print(\"Current Total Memory: {} MB\".format(psutil.virtual_memory()[0] / 2.**20))\n #print(\"Current Available Memory: {} MB\".format(psutil.virtual_memory()[1] / 2.**20))\n #print(\"Current CPU Resource Percentage: {}\".format(psutil.cpu_percent(interval=None, percpu=True)))\n print(\"Testing TopKWords w/ Shards on {} using {} shards.\".format(filename, shards))\n print(\"Starting Test...\")\n \n # Execute the program\n \n start = time()\n print(findTopKViaSharding(filename, k, shards))\n end = time()\n print(\"Test Complete.\")\n \n print(\"Total Time: {}\".format(end - start))\n #print(\"Total CPU Usage Percentage: {}\".format(psutil.cpu_percent(interval=None, percpu=True)))\n \n elif runOption == 2:\n # This option is for testing whether Sharding worked correctly or not\n # It is not part of the code that is needed for submission, nor will it run without files I have not included in the submission\n print(\"Sharding Test -- Not for general use\")\n print(\"Confirm Sharding on Ulysses: {}\".format(confirmSharding(\"ulysses.txt\", 100)))\n deleteShards()\n #print(\"Confirm Sharding on Indonesia: {}\".format(confirmSharding(\"data_1gb.csv\", 5000)))\n print(\"Confirm Sharding on Lorum: {}\".format(confirmSharding(\"simpleTest.txt\",10)))\n deleteShards()\n \n else:\n # Basic functionality tests from before I cleaned up the UI for giving the program inputs.\n \n print(\"OG Testing of basic functionality\")\n print(\"Testing on Ulysses text\")\n #print(findFLength(\"4300-0.txt\"))\n start = time()\n print(kMostFrequentWords(\"ulysses.txt\", 15))\n end = time()\n print(\"Total Time: {}\".format(end - start))\n\n print(\"Testing on Ulysses with Shards\")\n print(\"Top 15 Words -- 10 Shards\")\n start = time()\n print(findTopKViaSharding(\"ulysses.txt\", 15, 10))\n end = time()\n print(\"Total Time: {}\".format(end - start))\n\n print(\"Testing TopKWords w/ Shards on Surya's 400MB\")\n print(\"Top 15 Words -- 1024 Shards\")\n start = time()\n print(findTopKViaSharding(\"dataset-400MB.txt\", 15, 1024))\n end = time()\n print(\"Total Time: {}\".format(end - start))","def run_task(data_dir, task_id):\n print(\"Train and test for task %d ...\" % task_id)\n\n print(\"We are going to use this\")\n \n\n # Parse data\n train_files = glob.glob('%s/qa3_*_train.txt' % (data_dir, task_id))\n test_files = glob.glob('%s/qa3_*_test.txt' % (data_dir, task_id))\n\n dictionary = {\"nil\": 0}\n train_story, train_questions, train_qstory = parse_babi_task(train_files, dictionary, False)\n test_story, test_questions, test_qstory = parse_babi_task(test_files, dictionary, False)\n\n general_config = BabiConfig(train_story, train_questions, dictionary)\n\n\n # #### R: this line build a empty model to train\n # memory, model, loss = build_model(general_config)\n\n # if general_config.linear_start:\n # train_linear_start(train_story, train_questions, train_qstory, memory, model, loss, general_config)\n # else:\n # train(train_story, train_questions, train_qstory, memory, model, loss, general_config)\n\n\n\n # memory, model, loss = build_model(general_config)\n\n # this line\n test(test_story, test_questions, test_qstory, memory, model, loss, general_config)","def main():\n \n # 1. Learn a decision tree from the data in training.txt\n print \"--Building trees--\"\n train_examples = read_file('training.txt')\n print(train_examples)\n attrs = range(len(train_examples[0])-1)\n rand_tree = decision_tree_learning(train_examples, attrs, use_gain=False)\n gain_tree = decision_tree_learning(train_examples, attrs, use_gain=True)\n print \"--Done building--\"\n print\n\n # 2. Document the tree you got\n print \"--Random tree--\"\n print_tree(rand_tree)\n print\n print \"--Learn tree--\"\n print_tree(gain_tree)\n print\n\n # 3. Classify all examples in the test-set\n test_examples = read_file('test.txt')\n print \"--Testing random tree--\"\n test(rand_tree, test_examples, attrs)\n print\n print \"--Testing information gain tree--\"\n test(gain_tree, test_examples, attrs)\n print \"--Done testings--\"","def main():\n # Step1: generate htmls\n csv_data_path= \"./frontend/html_template_data/dataset.csv\"\n html_template_path = \"./frontend/html_template_data/template.html\"\n html_save_path = \"./frontend/html_files/\"\n\n generate_htmls(csv_data_path, html_template_path, html_save_path)\n\n # Step2: push htmls to Github\n # push htmls to Github Pages, currently manual.","def initUserFilesIfNeeded() -> None:\n\n # Create directories if they don't exist\n for userFileDir in UserFileDirs.list():\n os.makedirs(userFileDir, exist_ok=True)\n\n # Init preferences file\n from frcpredict.ui import Preferences\n Preferences.initFile()","def make_submission_file(w, unused_features, filename=\"prediction.csv\"):\n\n # load test datasets\n print_banner(\"7. Read test dataset from higgs-data/test.csv\") \n test_y, test_x, ind = load_csv_data('higgs-data/test.csv')\n\n # Construct Matrix Output with values of one\n y_pred = np.ones(len(test_y))\n\n # Split test dataset based\n print_banner(\"8. Split the test dataset into 8 subsets\") \n test_sets_x, _, indices = create_subsets(test_x, test_y)\n\n # Remove features of test datasets based on PRI_JET_NUM and DER_MASS_MMC\n print_banner(\"9. Remove features in each test subset based on PRI_JET_NUM and DER_MASS_MMC\")\n test_sets_x = remove_features(test_sets_x, unused_features) \n\n # Iterate through the test subsets with their models accordingly\n print_banner(\"10. Predict each test subset using their corresponding model\") \n for x, w, index in zip(test_sets_x, w, indices):\n\n # Perform z-score standardization and expand matrix features with logarithmic & polynomial & cross_term & square root basis function\n stand_x = generate_features(x, 2, True, with_log=True, with_sqrt=True, cross_terms=True)\n\n # Get the prediction\n y_pred[index] = predict_labels(w, stand_x)\n\n print_banner(\" Predicting subset: DONE\") \n \n # Creating submission file\n print_banner(\"11. Making final submission file with csv format\") \n create_csv_submission(ind, y_pred, filename)","def run_workflow(EMBEDDING_BASE_PATH):\n train_tweets_path, val_tweets_path, test_tweets_path, image_dataset = run_pre_workflow()\n\n input_images, train_tweets, val_tweets, test_tweets, glove_embeddings = replica_catalog(train_tweets_path, val_tweets_path, test_tweets_path, image_dataset, EMBEDDING_BASE_PATH)\n\n preprocess_tweets, preprocess_images, train_resnet, hpo_train_resnet, train_bilstm, hpo_train_bilstm, resnet_inference, bilstm_inference, late_fusion = transformation_catalog()\n \n sites_catalog()\n\n pegasus_properties()\n \n wf = Workflow('Crisis_Computing_Workflow')\n\n # --------------------------------------------------- TEXT PIPELINE ------------------------------------------------------ \n\n # Job 1: Preprocess tweets\n preprocessed_train_tweets = File('preprocessed_train_tweets.csv')\n preprocessed_val_tweets = File('preprocessed_val_tweets.csv')\n preprocessed_test_tweets = File('preprocessed_test_tweets.csv')\n \n job_preprocess_tweets = [Job(preprocess_tweets) for i in range(3)]\n job_preprocess_tweets[0].add_inputs(train_tweets)\n job_preprocess_tweets[0].add_outputs(preprocessed_train_tweets)\n job_preprocess_tweets[0].add_args('--filename', 'train_tweets.csv')\n \n job_preprocess_tweets[1].add_inputs(val_tweets)\n job_preprocess_tweets[1].add_outputs(preprocessed_val_tweets)\n job_preprocess_tweets[1].add_args('--filename', 'val_tweets.csv')\n \n job_preprocess_tweets[2].add_inputs(test_tweets)\n job_preprocess_tweets[2].add_outputs(preprocessed_test_tweets)\n job_preprocess_tweets[2].add_args('--filename', 'test_tweets.csv')\n\n\n # Job 2: HPO Bi-LSTM\n bilstm_best_params = File('best_bilstm_hpo_params.txt')\n\n job_hpo_train_bilstm = Job(hpo_train_bilstm)\\\n .add_inputs(glove_embeddings, preprocessed_train_tweets, preprocessed_val_tweets, preprocessed_test_tweets)\\\n .add_outputs(bilstm_best_params)\\\n .add_args('--trials', BILSTM_NUM_TRIALS)\n\n\n # Job 3: Train Bi-LSTM using best parameters from HPO study and output loss and accuracy curves\n trained_bilstm_model = File('bilstm_final_model.h5') \n bilstm_loss_curve = File('Loss_curve_bilstm.png')\n bilstm_accuracy_curve = File('Accuracy_curve_bilstm.png')\n\n\n job_train_bilstm = Job(train_bilstm)\\\n .add_inputs(glove_embeddings, preprocessed_train_tweets, preprocessed_val_tweets, preprocessed_test_tweets, bilstm_best_params)\\\n .add_outputs(bilstm_loss_curve, bilstm_accuracy_curve, trained_bilstm_model)\\\n\n\n # Job 4: Run inference on best Bi-LSTM model to produce output on test dataset along with confusion matrix\n bilstm_train_output_prob = File('bilstm_train_output.csv')\n bilstm_test_output_prob = File('bilstm_test_output.csv')\n bilstm_confusion_matrix = File('bilstm_confusion_matrix.png')\n\n job_bilstm_inference = Job(bilstm_inference)\\\n .add_inputs(preprocessed_train_tweets, preprocessed_val_tweets, preprocessed_test_tweets, trained_bilstm_model)\\\n .add_outputs(bilstm_train_output_prob, bilstm_test_output_prob, bilstm_confusion_matrix)\n\n\n # --------------------------------------------------- IMAGE PIPELINE ------------------------------------------------------ \n\n \n # Job 1: Preprocess images\n prefix = \"resized_\"\n job_preprocess_images = [Job(preprocess_images) for i in range(NUM_WORKERS)]\n resized_images = split_preprocess_jobs(job_preprocess_images, input_images, prefix)\n\n # Job 2: HPO ResNet-50\n resnet_best_params = File('best_resnet_hpo_params.txt')\n\n job_hpo_train_resnet = Job(hpo_train_resnet)\\\n .add_inputs(*resized_images)\\\n .add_args('--trials', RESNET_NUM_TRIALS)\\\n .add_outputs(resnet_best_params)\\\n .add_profiles(Namespace.PEGASUS, key=\"maxwalltime\", value=MAXTIMEWALL)\n\n\n # Job 3: Train ResNet-50 using best parameters from HPO study and output loss and accuracy curves\n trained_resnet_model = File('resnet_final_model.pth')\n resnet_loss_curve = File('Loss_curve_resnet.png')\n resnet_accuracy_curve = File('Accuracy_curve_resnet.png')\n\n job_train_resnet = Job(train_resnet)\\\n .add_inputs(*resized_images, resnet_best_params)\\\n .add_outputs(resnet_loss_curve, resnet_accuracy_curve, trained_resnet_model)\\\n .add_profiles(Namespace.PEGASUS, key=\"maxwalltime\", value=MAXTIMEWALL)\n\n\n # Job 4: Run inference on best ResNet-50 model to produce output on test dataset along with confusion matrix\n resnet_train_output_prob = File('resnet_train_output.csv')\n resnet_confusion_matrix = File('resnet_confusion_matrix.png')\n resnet_test_output_prob = File('resnet_test_output.csv') \n\n job_resnet_inference = Job(resnet_inference)\\\n .add_inputs(*resized_images, trained_resnet_model)\\\n .add_outputs(resnet_train_output_prob, resnet_test_output_prob, resnet_confusion_matrix)\n\n \n \n # --------------------------------------------------- LATE FUSION ------------------------------------------------------ \n\n # Job 1: Late Fusion\n confusion_matrix_MPC = File('late_fusion_MPC.png')\n confusion_matrix_LR = File('late_fusion_LR.png')\n confusion_matrix_MLP = File('late_fusion_MLP.png')\n report_MLP = File('late_fusion_MLP.csv')\n report_MPC = File('late_fusion_MPC.csv')\n report_LR = File('late_fusion_LR.csv')\n\n job_late_fusion = Job(late_fusion)\\\n .add_inputs(resnet_train_output_prob, resnet_test_output_prob, bilstm_train_output_prob, bilstm_test_output_prob)\\\n .add_outputs(confusion_matrix_MPC, confusion_matrix_LR, confusion_matrix_MLP, report_MLP, report_MPC, report_LR)\n\n wf.add_jobs(*job_preprocess_tweets, *job_preprocess_images, job_bilstm_inference, job_hpo_train_bilstm, job_train_bilstm, job_hpo_train_resnet, job_train_resnet, job_resnet_inference, job_late_fusion)\n\n try:\n wf.plan(submit=False, sites=[\"donut\"], output_sites=[\"donut\"], dir=\"submit\")\n #wf.wait()\n #wf.statistics()\n except PegasusClientError as e:\n print(e.output)\n \n #plot_workflow_graph(wf)\n \n return","def test_execute_review_7(self):\n review.execute_review(self.alchemist, self.test_dir,\n self.review_test_dir.name,\n s_report=True)\n\n self.assertTrue(self.review_test_dir.is_dir())\n\n summary_report_file = self.review_test_dir.joinpath(\"SummaryReport.txt\")\n self.assertTrue(summary_report_file.is_file())"],"string":"[\n \"def main():\\n # Specify path\\n training_filepath = 'data/training.csv'\\n testing_filepath = 'data/public_test_features.csv'\\n\\n # Check whether the specified path exists or not\\n isExist = os.path.exists(training_filepath)\\n if(isExist):\\n print('Reading from ' + training_filepath)\\n else:\\n print('Training file not found in the app path.')\\n exit()\\n preprocess_file(training_filepath, 'data/clean_training1.csv', True)\\n # Check whether the specified path exists or not\\n isExist = os.path.exists(testing_filepath)\\n if(isExist):\\n print('Reading from ' + testing_filepath)\\n else:\\n print('Testing file not found in the app path.')\\n exit()\\n preprocess_file(testing_filepath,'data/clean_testing1.csv', False)\",\n \"def test_compile_local_files(self, tester_login):\\n filenames = os.listdir(COMPILE_TESTER_DIR)\\n test_files = [os.path.join(COMPILE_TESTER_DIR, name) for name in filenames]\\n projects = [self.upload_project('#uploadFolderZip form', fname,\\n os.path.splitext(os.path.basename(fname))[0]) for fname\\n in test_files]\\n flag = True\\n while flag:\\n uploaded_sketches = self.get_elements(By.CSS_SELECTOR, '#project_list > li')\\n if len(uploaded_sketches) >= len(projects):\\n flag = False\\n break\\n time.sleep(1)\\n self.compile_all_sketches(COMPILE_TESTER_STAGING_URL,\\n '#user_projects tbody a',\\n iframe=False,\\n compile_type='sketch',\\n create_report=True, logfile=COMPILE_TESTER_LOGFILE_STAGING)\\n for name in projects:\\n self.delete_project(name.replace(\\\" \\\", \\\"-\\\"))\",\n \"def setup_file_data(cls, sess, submission_id):\\n ready = JOB_STATUS_DICT['ready']\\n csv_validation = JOB_TYPE_DICT['csv_record_validation']\\n\\n job = FileTests.insert_job(\\n sess,\\n filetype=FILE_TYPE_DICT['award'],\\n status=ready,\\n type_id=csv_validation,\\n submission=submission_id\\n )\\n # everything is fine\\n FileTests.insert_file(sess, job.job_id, FILE_STATUS_DICT['complete'])\\n\\n job = FileTests.insert_job(\\n sess,\\n filetype=FILE_TYPE_DICT['award_financial'],\\n status=ready,\\n type_id=csv_validation,\\n submission=submission_id\\n )\\n # bad header\\n FileTests.insert_file(sess, job.job_id, FILE_STATUS_DICT['unknown_error'])\\n\\n job = FileTests.insert_job(\\n sess,\\n filetype=FILE_TYPE_DICT['appropriations'],\\n status=ready,\\n type_id=csv_validation,\\n submission=submission_id\\n )\\n # validation level errors\\n FileTests.insert_file(sess, job.job_id, FILE_STATUS_DICT['complete'])\\n cls.insert_row_level_error(sess, job.job_id)\",\n \"def submit():\\n subtime = datetime.datetime.now()\\n args = parse_args()\\n \\n # get the course's configuration\\n with open(args.config) as cfgfile:\\n cfg = json.load(cfgfile)\\n \\n # Confirm the correct directory\\n wdir = os.getcwd()\\n resp = input(\\\"The current directory is:\\\\n\\\\n\\\\t\\\" + wdir \\n + \\\"\\\\n\\\\nIs this the directory you want to submit? (y/n): \\\")\\n if resp not in [\\\"y\\\", \\\"Y\\\", \\\"yes\\\", \\\"Yes\\\", \\\"YES\\\"]:\\n return\\n \\n # Get the assignment the student is submitting\\n resp = \\\"\\\"\\n while resp not in cfg[\\\"assignments\\\"]:\\n resp = input(\\\"\\\\nSelect an assignment from the list:\\\\n\\\\n\\\\t\\\" \\n + \\\"\\\\n\\\\t\\\".join(textwrap.wrap(\\\", \\\".join(cfg[\\\"assignments\\\"])))\\n + \\\"\\\\n\\\\nAssignment: \\\")\\n assignment = resp\\n\\n # Get the section to which the user wants to submit\\n resp = \\\"\\\"\\n desc = \\\"\\\\n\\\\t\\\".join([\\\"{:3}: {}\\\".format(key, cfg[\\\"sections\\\"][key][\\\"desc\\\"]) \\n for key in cfg[\\\"sections\\\"].keys()])\\n\\n while resp not in cfg[\\\"sections\\\"].keys():\\n resp = input(\\\"\\\\nSelect a section number from the list:\\\\n\\\\n\\\\t\\\" \\n + desc + \\\"\\\\n\\\\nSection: \\\")\\n section = cfg[\\\"sections\\\"][resp]\\n\\n # Collect the username and list of files to tar\\n username = os.environ.get(\\\"USER\\\")\\n files = glob.glob(\\\"*\\\")\\n\\n # Create the submission directory and copy in all the files\\n submitdir = \\\"{}_{}_{}\\\".format(assignment, cfg[\\\"course\\\"], username)\\n os.mkdir(submitdir)\\n for f in files:\\n shutil.copy(f, os.path.join(submitdir, f))\\n\\n # Create the archive, then delete the submission directory\\n tarname = \\\"{}.{}.{}.{}.tgz\\\".format(\\n assignment, cfg[\\\"course\\\"], username, int(time.time())\\n )\\n with tarfile.open(tarname, mode=\\\"w:gz\\\") as tar:\\n tar.add(submitdir)\\n shutil.rmtree(submitdir)\\n\\n # Build the email addresses\\n domain = cfg[\\\"domain\\\"]\\n faddr = \\\"{}@{}\\\".format(username, domain)\\n taddr = \\\"{}@{}\\\".format(section[\\\"ta\\\"], domain)\\n \\n if \\\"cc\\\" in section:\\n ccaddrs = [\\\"{}@{}\\\".format(netid, domain) for netid in section[\\\"cc\\\"]]\\n else:\\n ccaddrs = []\\n\\n if \\\"bcc\\\" in section:\\n bccaddrs = [\\\"{}@{}\\\".format(netid, domain) for netid in section[\\\"bcc\\\"]]\\n else:\\n bccaddrs = []\\n\\n # Build the email headers\\n msg = email.mime.multipart.MIMEMultipart()\\n msg[\\\"From\\\"] = faddr\\n msg[\\\"To\\\"] = taddr\\n msg[\\\"Cc\\\"] = \\\", \\\".join(ccaddrs)\\n msg[\\\"Subject\\\"] = \\\"{} submission for student {} in {}\\\".format(\\n assignment, username, cfg[\\\"course\\\"]\\n )\\n\\n # Build the attachment and compute a check sum\\n attachment = email.mime.base.MIMEBase('application', 'octet-stream')\\n with open(tarname, 'rb') as f:\\n contents = f.read()\\n chksum = hashlib.md5(contents).hexdigest()\\n attachment.set_payload(contents)\\n \\n email.encoders.encode_base64(attachment)\\n attachment.add_header(\\\"Content-Disposition\\\", \\n \\\"attachment; filename={}\\\".format(tarname)\\n )\\n msg.attach(attachment)\\n \\n # Build and attach the message text\\n msg.attach(email.mime.text.MIMEText(\\n \\\"Submission from {}\\\\n\\\".format(username)\\n + \\\"Course: {}\\\\n\\\".format(cfg[\\\"course\\\"])\\n + \\\"Assignment: {}\\\\n\\\".format(assignment)\\n + \\\"Time: {}\\\\n\\\".format(subtime.strftime(\\\"%m/%d/%Y %H:%M:%S\\\"))\\n + \\\"MD5Sum: {}\\\\n\\\".format(chksum),\\n \\\"plain\\\"))\\n \\n # Send the email\\n server = smtplib.SMTP('localhost')\\n server.sendmail(faddr, [taddr] + ccaddrs + bccaddrs, msg.as_string())\\n server.quit()\",\n \"def submit(user, user_file):\\n user_job = '{\\\"localFile\\\" : \\\"userfile\\\", \\\"destFile\\\" : \\\"primes.py\\\"}'.replace(\\n \\\"userfile\\\", user_file)\\n run(['bash', 'submit.sh', user_file, user_job, user])\",\n \"def test_upload(self):\\n\\n\\n username,userpass = self.testdata.find_account_for('toolsubmitter')\\n\\n self.utils.account.login_as(username,userpass)\\n\\n self.contribtool.upload(TOOLNAME,TOOLFILEDATA,username,userpass)\",\n \"def setup_file_generation_submission(cls, sess, submission_id=None):\\n submission_id = cls.generation_submission_id if not submission_id else submission_id\\n submission = sess.query(Submission).filter(Submission.submission_id == submission_id).one()\\n\\n # Create D1 jobs ready for generation route to be called\\n cls.insert_job(\\n sess,\\n FILE_TYPE_DICT['award_procurement'],\\n JOB_STATUS_DICT['ready'],\\n JOB_TYPE_DICT['file_upload'],\\n submission.submission_id\\n )\\n award_roc_val_job = cls.insert_job(\\n sess,\\n FILE_TYPE_DICT['award_procurement'],\\n JOB_STATUS_DICT['waiting'],\\n JOB_TYPE_DICT['csv_record_validation'],\\n submission.submission_id\\n )\\n # Create E and F jobs ready for check route\\n exec_comp_job = cls.insert_job(\\n sess,\\n FILE_TYPE_DICT['executive_compensation'],\\n JOB_STATUS_DICT['finished'],\\n JOB_TYPE_DICT['file_upload'],\\n submission.submission_id\\n )\\n sub_award_job = cls.insert_job(\\n sess,\\n FILE_TYPE_DICT['sub_award'],\\n JOB_STATUS_DICT['invalid'],\\n JOB_TYPE_DICT['file_upload'],\\n submission.submission_id\\n )\\n sub_award_job.error_message = \\\"File was invalid\\\"\\n\\n # Create D2 jobs\\n cls.insert_job(\\n sess,\\n FILE_TYPE_DICT['award'],\\n JOB_STATUS_DICT['finished'],\\n JOB_TYPE_DICT['file_upload'],\\n submission.submission_id\\n )\\n cls.insert_job(\\n sess,\\n FILE_TYPE_DICT['award'],\\n JOB_STATUS_DICT['invalid'],\\n JOB_TYPE_DICT['csv_record_validation'],\\n submission.submission_id\\n )\\n # Create dependency\\n exec_comp_dep = JobDependency(\\n job_id=exec_comp_job.job_id,\\n prerequisite_id=award_roc_val_job.job_id\\n )\\n sess.add(exec_comp_dep)\\n sess.commit()\",\n \"def setup(self, tmp_path):\\n create_users_file(tmp_path)\\n create_jobs_file(tmp_path)\",\n \"def setUpClass(cls):\\n super(FileTests, cls).setUpClass()\\n # TODO: refactor into a pytest fixture\\n\\n with create_app().app_context():\\n # get the submission test user\\n sess = GlobalDB.db().session\\n cls.session = sess\\n submission_user = sess.query(User).filter(User.email == cls.test_users['admin_user']).one()\\n cls.submission_user_id = submission_user.user_id\\n\\n other_user = sess.query(User).filter(User.email == cls.test_users['agency_user']).one()\\n cls.other_user_id = other_user.user_id\\n\\n # setup submission/jobs data for test_check_status\\n cls.status_check_submission_id = cls.insert_submission(sess, cls.submission_user_id, cgac_code=\\\"SYS\\\",\\n start_date=\\\"10/2015\\\", end_date=\\\"12/2015\\\",\\n is_quarter=True)\\n\\n cls.generation_submission_id = cls.insert_submission(sess, cls.submission_user_id, cgac_code=\\\"SYS\\\",\\n start_date=\\\"07/2015\\\", end_date=\\\"09/2015\\\",\\n is_quarter=True)\\n\\n cls.setup_file_generation_submission(sess)\\n\\n cls.jobIdDict = cls.setup_jobs_for_status_check(sess, cls.status_check_submission_id)\\n\\n # setup submission/jobs data for test_error_report\\n cls.error_report_submission_id = cls.insert_submission(\\n sess, cls.submission_user_id, cgac_code=\\\"SYS\\\", start_date=\\\"10/2015\\\", end_date=\\\"10/2015\\\")\\n cls.setup_jobs_for_reports(sess, cls.error_report_submission_id)\\n\\n # setup file status data for test_metrics\\n cls.test_metrics_submission_id = cls.insert_submission(\\n sess, cls.submission_user_id, cgac_code=\\\"SYS\\\", start_date=\\\"08/2015\\\", end_date=\\\"08/2015\\\")\\n cls.setup_file_data(sess, cls.test_metrics_submission_id)\\n\\n cls.row_error_submission_id = cls.insert_submission(sess, cls.submission_user_id, cgac_code=\\\"SYS\\\",\\n start_date=\\\"10/2015\\\", end_date=\\\"12/2015\\\",\\n is_quarter=True, number_of_errors=1)\\n cls.setup_submission_with_error(sess, cls.row_error_submission_id)\\n\\n cls.test_delete_submission_id = cls.insert_submission(sess, cls.submission_user_id, cgac_code=\\\"SYS\\\",\\n start_date=\\\"07/2015\\\", end_date=\\\"09/2015\\\",\\n is_quarter=True)\\n cls.setup_file_generation_submission(sess, submission_id=cls.test_delete_submission_id)\\n\\n cls.test_certified_submission_id = cls.insert_submission(sess, cls.submission_user_id, cgac_code=\\\"SYS\\\",\\n start_date=\\\"07/2015\\\", end_date=\\\"09/2015\\\",\\n is_quarter=True, number_of_errors=0,\\n publish_status_id=2)\\n\\n cls.test_updated_submission_id = cls.insert_submission(sess, cls.submission_user_id, cgac_code=\\\"SYS\\\",\\n start_date=\\\"07/2016\\\", end_date=\\\"09/2016\\\",\\n is_quarter=True, number_of_errors=0,\\n publish_status_id=3)\\n\\n cls.test_uncertified_submission_id = cls.insert_submission(sess, cls.submission_user_id, cgac_code=\\\"SYS\\\",\\n start_date=\\\"04/2015\\\", end_date=\\\"06/2015\\\",\\n is_quarter=True, number_of_errors=0)\\n\\n cls.test_revalidate_submission_id = cls.insert_submission(sess, cls.submission_user_id, cgac_code=\\\"SYS\\\",\\n start_date=\\\"10/2015\\\", end_date=\\\"12/2015\\\",\\n is_quarter=True, number_of_errors=0)\\n\\n cls.test_monthly_submission_id = cls.insert_submission(sess, cls.submission_user_id, cgac_code=\\\"SYS\\\",\\n start_date=\\\"10/2015\\\", end_date=\\\"12/2015\\\",\\n is_quarter=False, number_of_errors=0)\\n\\n cls.test_fabs_submission_id = cls.insert_submission(sess, cls.submission_user_id, cgac_code=\\\"SYS\\\",\\n start_date=\\\"10/2015\\\", end_date=\\\"12/2015\\\",\\n is_quarter=False, number_of_errors=0,\\n is_fabs=True)\\n\\n cls.test_certify_history_id = cls.setup_certification_history(sess)\",\n \"def prep(user_data):\\n print(\\\"Prep...\\\\n\\\")\\n\\n # Locate exam folder\\n old_folder_name = user_data.folder_name\\n exam_folder_located = os.path.isdir(old_folder_name)\\n print(build_status(exam_folder_located,\\n \\\"Localizando el directorio del examen\\\"))\\n\\n # Rename folder, create data and info files\\n if exam_folder_located:\\n # Collect user data\\n user_data = ask_user_data(user_data)\\n\\n # Rename folder\\n folder_name = user_data.folder_name\\n if old_folder_name != folder_name:\\n renamed = True\\n\\n try:\\n os.rename(old_folder_name, folder_name)\\n except OSError as e:\\n renamed = False\\n\\n print(build_status(renamed,\\n \\\"Directorio renombrado:\\\\n \\\"\\n + old_folder_name + \\\"\\\\n ->\\\" + folder_name))\\n\\n create_data_file(user_data, DataFile)\\n print(build_status(True, \\\"Datos de usuario guardados\\\"))\\n\\n create_info_file(user_data, os.path.join(folder_name, InfoFile))\\n print(build_status(True, \\\"Creado archivo info\\\"))\\n\\n create_marks_file(user_data, os.path.join(folder_name, MarksFile))\\n print(build_status(True, \\\"Creado archivo de notas\\\"))\\n\\n return\",\n \"def grade_submission(ag_path, submission_path, quiet=False, debug=False):\\n\\n dp = tempfile.mkdtemp()\\n\\n args_list = ARGS_STARTER.copy()\\n args_list.extend([\\n \\\"-a\\\", ag_path,\\n \\\"-o\\\", dp,\\n submission_path,\\n \\\"--no-logo\\\",\\n ])\\n\\n if debug:\\n args_list.append(\\\"--debug\\\")\\n\\n args = PARSER.parse_args(args_list)\\n\\n if quiet:\\n f = open(os.devnull, \\\"w\\\")\\n cm = redirect_stdout(f)\\n else:\\n cm = nullcontext()\\n \\n with cm:\\n results = run_grader(**vars(args))\\n\\n if quiet:\\n f.close()\\n\\n shutil.rmtree(dp)\\n\\n return results\",\n \"def main():\\n args = get_args()\\n\\n src_dir = args.input\\n\\n if os.path.exists(args.output):\\n print(\\\"output directory already exists\\\")\\n sys.exit(1)\\n os.makedirs(args.output)\\n copy_submission_dir(args.input, args.output, args.submitter)\\n src_dir = args.output\\n\\n config = checker.Config(\\n args.version,\\n args.extra_model_benchmark_map)\\n\\n if not args.nodelete_empty_dirs:\\n delete_empty_dirs(os.path.join(src_dir))\\n\\n os.chdir(src_dir)\\n\\n infer_scenario_results(args.submitter, args.noinfer_low_accuracy_results, config)\\n\\n return 0\",\n \"def prepare_submit(self, mapping):\\n self.dag_path = self.mk_path('%(mex_id)s.dag', mapping)\\n self.create_file(self.dag_path,\\n self.template['condor.dag_template'], mapping)\\n\\n self.conf_path = self.mk_path('%(mex_id)s.dag.config', mapping)\\n self.create_file(self.conf_path,\\n self.template['condor.dag_config_template'], mapping)\\n\\n self.submit_path = self.mk_path('%(mex_id)s.cmd', mapping)\\n self.create_file(self.submit_path,\\n self.template['condor.submit_template'], mapping)\",\n \"def upload(self,toolname,data,username,userpass):\\n\\n msg = 'initial upload of source code'\\n self.upload_code(toolname,data,username,userpass,msg)\\n\\n # navigate to the tool status page\\n po = self.catalog.load_pageobject('ToolsStatusCreatedPage',toolname)\\n po.goto_page()\\n\\n # on web page, mark project as uploaded\\n po.flip_status_to_uploaded()\\n\\n self.__wait_for_tool_state(po,'Uploaded')\",\n \"def newcode(path):\\n global testers\\n import json, testmaker\\n print('newcode', (path,))\\n\\n subdir, pyfile, dst, afb, lfb, slug = ppath(path)\\n \\n if not pyfile or not subdir or not os.path.exists(subdir):\\n print('no submission found in', subdir)\\n os.unlink(path) # remove queue for absent file\\n return\\n\\n if not slug in testers:\\n print('no testers found for', subdir)\\n with open(afb, 'w') as f:\\n print('automated feedback not enabled for this assignment', file=f)\\n # ¿use os.utimes to bypass feedback delay?\\n\\n # do not use os.unlink(path) because testers may be added later\\n return\\n \\n # pypractice used create-in-tmp move-to-dest model to trigger vibe's\\n # DirectoryWatcher's moved_to listneger because it had no close_write\\n # listener. This is not needed in the current system because PHP can't\\n # listen-and-push at all.\\n \\n result = testers[slug].report(pyfile)\\n try:\\n with open(afb, 'w') as f: json.dump({'stdout':result['feedback']}, f, default=lambda x:str(type(x)))\\n except:\\n with open(afb, 'w') as f: json.dump({'stdout':\\\"internal error generating automated feedback\\\"}, f)\\n\\n try:\\n with open(lfb, 'w') as f:\\n m = result['missed']\\n if len(m) > 0:\\n json.dump({'stdout':'Failed test cases:\\\\n-------------------------\\\\n' + '\\\\n-------------------------\\\\n'.join(m)}, f)\\n else:\\n json.dump({'stdout':'Passed all tests'},f)\\n except:\\n with open(afb, 'w') as f: json.dump({'stdout':\\\"internal error testing your code\\\"}, f)\\n \\n try:\\n with open(dst, 'w') as f: json.dump(result, f, indent=2, default=lambda x:str(type(x)))\\n except BaseException as ex:\\n with open(dst, 'w') as f: json.dump({'correct':0,'error':testmaker.ex_msg(ex)}, f, indent=2)\\n \\n dst2 = os.path.join(os.path.dirname(os.path.dirname(dst)), os.path.basename(dst))\\n if os.path.exists(dst) and not os.path.exists(dst2):\\n os.link(dst, dst2)\\n \\n if os.path.exists(path): os.unlink(path) # remove queue now that grade finished\\n return\",\n \"def processFiles(self, testDataFiles, sourceDirectory, sourceFilename, outputFile, language, IncludeSourceInOutput, maxRunTime, interpreter, maxOutputLines, AutoGraderVersion):\\n \\n print (\\\"***Start***\\\")\\n self.sourceDirectory = sourceDirectory\\n #self.TopLevelFilesFound = []\\n #self.subdirs = {} #dictionary of sbudirectories\\n \\n\\n #delete the output file\\n self._removeFile(outputFile)\\n\\n #create the html header. Use the name of the source directory as the header text.\\n self._MakeHtmlHeader(outputFile, language, \\\"AutoGrader\\\", os.path.split(sourceDirectory)[-1])\\n\\n #--------- C++ ---------\\n if language == 'C++':\\n #call _recursivelyFindFiles to generate the self.TopLevelFilesFound and self.SubDirsFound lists\\n (self.TopLevelFilesFound, self.SubDirsFound) = self._recursivelyFindFiles(sourceDirectory, \\\".cpp\\\")\\n (tlf, sd) = self._recursivelyFindFiles(sourceDirectory, \\\".cc\\\")\\n\\n self.TopLevelFilesFound += tlf\\n self.SubDirsFound += sd\\n\\n exeFile = sourceDirectory + '/' + 'AG.out'\\n\\n\\n def doInnerCppProcessing(sourceFiles, gradingTextLabel): #sourceFiles is a list of filenames\\n #get/report the analytics on the source files\\n self._reportFileAnalytics(sourceFiles, outputFile, language)\\n \\n #include source code here if selected\\n if IncludeSourceInOutput == True:\\n self._formatSource(sourceFiles, outputFile, language)\\n\\n #compile the file\\n self._removeFile(exeFile)\\n self._compileCppFiles(interpreter, sourceFiles, outputFile, exeFile, maxOutputLines)\\n\\n if os.path.isfile(exeFile): #did the compilation succeed?\\n print(\\\"Compilation succeeded.\\\")\\n self._reportErrorMsg(\\\"Compilation succeeded.<br>\\\", outputFile) \\n if len(testDataFiles) == 0: #no input data required\\n exec_time = self._shellExec('\\\"'+exeFile+'\\\"', '', '', outputFile, maxRunTime, maxOutputLines, sourceDirectory)\\n print (format(\\\"%0.4f\\\" % exec_time) + \\\" secs.\\\")\\n else:\\n for dataFile in testDataFiles:\\n self._reportDataFile(dataFile, outputFile)\\n \\n #print the name of the datafile to indicate progress. This is a temporary solution to allow us to identify\\n #programs that don't end. Ultimately, we will want to use a fork()/wait() pair and be able to set a max run time.\\n _, filename = os.path.split(dataFile)\\n print (\\\"processing '\\\" + filename + \\\"'...\\\")\\n exec_time = self._shellExec('\\\"'+exeFile+'\\\"', '', dataFile, outputFile, maxRunTime, maxOutputLines, sourceDirectory)\\n\\n print (format(\\\"%0.4f\\\" % exec_time) + \\\" secs.\\\")\\n self._reportExecTime(exec_time, outputFile)\\n print ()\\n else:\\n print(\\\"Executable not found. Check compiler output.\\\")\\n self._reportErrorMsg(\\\"Executable not found. Check compiler output.<br>\\\", outputFile)\\n\\n self._removeFile(exeFile)\\n self._gradingBox(sourceDirectory, sourceFiles[0], outputFile, gradingTextLabel)\\n return\\n\\n\\n #compile the names of single-file programs and multi-file programs into a single list to enable sorting.\\n #note that this is a list of tuples. The first element is the name of the file or directory.\\n #the second element specifies if the first is a filename or directory name.\\n filesAndDirs = []\\n for x in self.TopLevelFilesFound:\\n filesAndDirs.append((x,'file')) #add files\\n\\n for x in self.SubDirsFound:\\n filesAndDirs.append((x,'dir')) #add directories\\n\\n filesAndDirs.sort() #sort the list\\n\\n print (\\\"**********************************\\\")\\n for x in filesAndDirs:\\n print (x)\\n print (\\\"**********************************\\\")\\n\\n #now, process the sorted list depending on whether it is a single-file or directory.\\n for n, x in enumerate(filesAndDirs):\\n if x[1] == 'file': #this is a file\\n #we will process source code in the top-level directory as single-file programs \\n print ('=======================================================')\\n print (x[0])\\n print ('=======================================================')\\n #doInnerCppProcessing([x[0]], 'student'+str(n))\\n doInnerCppProcessing([x[0]], 'student')\\n elif x[1] == 'dir': #this is a directory\\n #we will process source code in sub-directories of the top-level directory as multi-file programs\\n print ('=======================================================')\\n print (x[0])\\n print ('=======================================================')\\n sourceFiles = []\\n self._findFilesInDir(x[0], \\\".cpp\\\", sourceFiles) #add .h files to the files list\\n self._findFilesInDir(x[0], \\\".cc\\\", sourceFiles) #add .h files to the files list\\n self._findFilesInDir(x[0], \\\".h\\\", sourceFiles) #add .h files to the files list\\n self._findFilesInDir(x[0], \\\".hpp\\\", sourceFiles) #add .hpp files to the files list\\n #doInnerCppProcessing(sourceFiles, 'student'+str(n))\\n doInnerCppProcessing(sourceFiles, 'student')\\n else:\\n print (\\\"***** EXCEPTION: Entity for processing is neither a file nor a directory. *****\\\")\\n \\n \\n self._reportErrorMsg('<br><br><b>**** ' + str(len(self.TopLevelFilesFound) + len(self.SubDirsFound)) + ' project(s) processed. ****</b>', outputFile)\\n\\n #--------- Python ---------\\n elif language == 'Python':\\n print ('Find sub dirs')\\n #first, find all the subdirectories that contain a python source file that matches <sourceFilename>\\n #(_, self.SubDirsFound) = self._recursivelyFindFiles(sourceDirectory, sourceFilename)\\n #(_, self.SubDirsFound) = self._recursivelyFindFiles(sourceDirectory, '/' + sourceFilename)\\n self.SubDirsFound = self._recursivelyFindFile(sourceDirectory, sourceFilename)\\n\\n print ('Find TLFs')\\n #now, find all .py files in the top level directory.\\n self.TopLevelFilesFound = self._findFilesInDir(sourceDirectory, \\\".py\\\", [])\\n #(self.TopLevelFilesFound, _) = self._recursivelyFindFiles(sourceDirectory, \\\".py\\\")\\n\\n\\n #does this block do anything??? 9/25/16\\n #if sourceFilename == \\\"\\\" or sourceFilename == None:\\n #self._recursivelyFindFiles(sourceDirectory, \\\".py\\\")\\n #else:\\n #self._recursivelyFindFiles(sourceDirectory, '/' + sourceFilename)\\n\\n\\n def doInnerPythonProcessing(sourceFiles, topLevelModule, gradingTextLabel): #sourceFiles is a list of filenames\\n #get/report the analytics on the source files\\n self._reportFileAnalytics(sourceFiles, outputFile, language)\\n \\n #include source code here if selected\\n if IncludeSourceInOutput == True:\\n self._formatSource(sourceFiles, outputFile, language)\\n\\n\\n if len(testDataFiles) == 0: #no input data required\\n exec_time = self._shellExec('\\\"'+interpreter+'\\\"', topLevelModule, '', outputFile, maxRunTime, maxOutputLines, sourceDirectory)\\n print (format(\\\"%0.4f\\\" % exec_time) + \\\" secs.\\\")\\n self._reportExecTime(exec_time, outputFile)\\n else:\\n for dataFile in testDataFiles:\\n self._reportDataFile(dataFile, outputFile)\\n \\n #print the name of the datafile to indicate progress. This is a temporary solution to allow us to identify\\n #programs that don't end. Ultimately, we will want to use a fork()/wait() pair and be able to set a max run time.\\n _, filename = os.path.split(dataFile)\\n print (\\\"processing '\\\" + filename + \\\"'...\\\")\\n exec_time = self._shellExec('\\\"'+interpreter+'\\\"', topLevelModule, dataFile, outputFile, maxRunTime, maxOutputLines, sourceDirectory)\\n\\n print (format(\\\"%0.4f\\\" % exec_time) + \\\" secs.\\\")\\n self._reportExecTime(exec_time, outputFile)\\n print ()\\n \\n self._gradingBox(sourceDirectory, sourceFiles[0], outputFile, gradingTextLabel)\\n return\\n\\n\\n #compile the names of single-file programs and multi-file programs into a single list to enable sorting.\\n #note that this is a list of tuples. The first element is the name of the file or directory.\\n #the second element specifies if the first is a filename or directory name.\\n filesAndDirs = []\\n for x in self.TopLevelFilesFound:\\n filesAndDirs.append((x,'file')) #add files\\n\\n for x in self.SubDirsFound:\\n filesAndDirs.append((x,'dir')) #add directories\\n\\n filesAndDirs.sort() #sort the list\\n\\n print (\\\"**********************************\\\")\\n for x in filesAndDirs:\\n print (x)\\n print (\\\"**********************************\\\")\\n\\n\\n #now, process the sorted list depending on whether it is a single-file or directory\\n for n, x in enumerate(filesAndDirs):\\n if x[1] == 'file': #this is a file\\n #we will process source code in the top-level directory as single-file programs \\n print ('=======================================================')\\n print (x[0])\\n print ('=======================================================')\\n #doInnerPythonProcessing([x[0]], x[0], 'student'+str(n))\\n doInnerPythonProcessing([x[0]], x[0], 'student')\\n elif x[1] == 'dir': #this is a directory\\n #we will process source code in sub-directories of the top-level directory as multi-file programs\\n print ('=======================================================')\\n print (x[0])\\n print ('=======================================================')\\n #doInnerPythonProcessing(self._findFilesInDir(x[0],\\\".py\\\", []), x[0]+'/'+sourceFilename, 'student'+str(n))\\n doInnerPythonProcessing(self._findFilesInDir(x[0],\\\".py\\\", []), x[0]+'/'+sourceFilename, 'student')\\n else:\\n print (\\\"***** EXCEPTION: Entity for processing is neither a file nor a directory. *****\\\")\\n \\n \\n self._reportErrorMsg('<br><br><b>**** ' + str(len(self.TopLevelFilesFound) + len(self.SubDirsFound)) + ' project(s) processed. ****</b>', outputFile)\\n\\n\\n\\n #--------- Unknown language ---------\\n else:\\n print ('Unknown language choice: ' + language)\\n return\\n\\n \\n self._reportErrorMsg('<br><font face=\\\"verdana\\\">', outputFile)\\n self._reportErrorMsg('Report Generator: AutoGrader v' + AutoGraderVersion + '<br>', outputFile)\\n if language == 'C++':\\n self._reportErrorMsg('C++ Compiler: ' + interpreter + '<br>', outputFile)\\n elif language == 'Python':\\n self._reportErrorMsg('Python Interpreter: ' + interpreter + '<br>', outputFile)\\n else:\\n self._reportErrorMsg('Compiler/Interpreter: Not Specified <br>', outputFile)\\n self._reportErrorMsg('<br></font>', outputFile)\\n\\n self._writeOutput('''<font size='+6'><input type=\\\"button\\\" style=\\\"font-size:20px;width:250px\\\" value=\\\"Download Feedback\\\" OnClick=\\\"download_feedback_file()\\\">\\n <br><br></font></form>''', outputFile)\\n\\n\\n feedback_filename = 'feedback.txt'\\n download_script = '''\\n <script type=\\\"text/javascript\\\">\\n\\n function download_feedback_file()\\n {\\n \\n x = document.getElementsByName(\\\"student\\\").length\\n msg = \\\"\\\"\\n for (i=0; i<x; i++)\\n {\\n msg = msg + document.getElementsByName(\\\"student\\\")[i].value\\n msg = msg + '\\\\\\\\n\\\\\\\\n-------------------------------------------------------\\\\\\\\n'\\n }\\n\\n var element = document.createElement('a');\\n element.setAttribute('href', 'data:text/plain;charset=utf-8,' + encodeURIComponent(msg));\\n element.setAttribute('download', \\\"''' + feedback_filename + '''\\\");\\n\\n element.style.display = 'none';\\n document.body.appendChild(element);\\n\\n element.click();\\n\\n document.body.removeChild(element);\\n }\\n\\n </script>\\n </body></html>\\n\\n '''\\n self._writeOutput(download_script, outputFile)\\n\\n self._writeOutput('</body></html>', outputFile)\\n\\n \\n #open the output file using the default application\\n cmd = 'open \\\"' + outputFile + '\\\"'\\n os.system(cmd)\\n \\n print (\\\"***End***\\\\n\\\")\\n\\n\\n\\n #--------- ---------\",\n \"def main():\\n\\n # set up output directory and file\\n output_file_folder = \\\"output/{}\\\".format(args.experiment_name)\\n Path(output_file_folder).mkdir(parents=True, exist_ok=True)\\n args.output_file_name = \\\"{}/{}.csv\\\".format(output_file_folder, args.model_name)\\n args.checkpoint_name = \\\"{}/{}.pt\\\".format(output_file_folder, args.model_name + \\\"_best_model\\\")\\n\\n # read lcquad merged data\\n if args.dataset_name == \\\"lcquad\\\":\\n df_train = pd.read_csv(\\\"./data/lcquad/gold_db/train_gold.csv\\\")\\n df_valid = pd.read_csv(\\\"./data/lcquad/gold_db/valid_gold.csv\\\")\\n df_test = pd.read_csv(\\\"./data/lcquad/gold_db/lcquad_test_sorted.csv\\\")\\n args.gold_file_name = \\\"lcquad/lcquad_gt_5000.csv\\\"\\n # elif args.dataset_name == \\\"qald9\\\":\\n # df_train = pd.read_csv(\\\"./data/qald-9/train_gold.csv\\\")\\n # df_valid = pd.read_csv(\\\"./data/qald-9/valid_gold.csv\\\")\\n # df_test = pd.read_csv(\\\"./data/qald-9/test_gold.csv\\\")\\n # args.gold_file_name = \\\"qald/qald_data_gt.csv\\\"\\n # elif args.dataset_name == \\\"webqsp\\\":\\n # df_train = pd.read_csv(\\\"./data/webqsp/train_gold.csv\\\")\\n # df_valid = pd.read_csv(\\\"./data/webqsp/valid_gold.csv\\\")\\n # df_test = pd.read_csv(\\\"./data/webqsp/test_gold.csv\\\")\\n # args.gold_file_name = \\\"webqsp/webqsp_data_gt.csv\\\"\\n\\n train_data = read_data_file(df_train, device, \\\"train\\\")\\n valid_data = read_data_file(df_valid, device, \\\"valid\\\")\\n test_data = read_data_file(df_test, device, \\\"test\\\")\\n\\n # train model and evaluate\\n if args.model_name == \\\"pure\\\":\\n model = PureNameLNN(args.alpha, -1, False)\\n elif args.model_name == \\\"ctx\\\":\\n model = None\\n elif args.model_name == 'type':\\n model = None\\n elif args.model_name == \\\"pure_ctx\\\":\\n model = None\\n elif args.model_name == \\\"pure_type\\\":\\n model = None\\n elif args.model_name == \\\"ctx_type\\\":\\n model = None\\n\\n model = model.to(device)\\n print(\\\"model: \\\", args.model_name, args.alpha)\\n\\n # training\\n train(model, train_data, valid_data, test_data, args.checkpoint_name, args.num_epoch, args.margin, args.learning_rate)\",\n \"def main(self):\\n # Set up importer\\n self._setup()\\n\\n log.debug('Importer started with arguments: %s' % sys.argv[1:])\\n filecheck = CheckFiles()\\n gpg = get_gnupg()\\n\\n # Try parsing the changes file, but fail if there's an error.\\n try:\\n self.changes = Changes(filename=self.changes_file)\\n filecheck.test_files_present(self.changes)\\n filecheck.test_md5sum(self.changes)\\n except Exception as e:\\n # XXX: The user won't ever see this message. The changes file was\\n # invalid, we don't know whom send it to\\n self._reject(\\\"Your changes file appears invalid. Refusing your upload\\\\n%s\\\" % (e.message))\\n\\n if not self.skip_gpg:\\n # Next, find out whether the changes file was signed with a valid signature, if not reject immediately\\n v = gpg.verify_file(path=self.changes_file)\\n if v is None:\\n self._reject('Your upload does not appear to be signed')\\n\\n if not v.is_valid:\\n self._reject('Your upload does not contain a valid signature. Output was:\\\\n%s' % (gpg_out))\\n self._determine_uploader_by_gpg(v.key_id)\\n else:\\n self._determine_uploader_by_changedby_field()\\n\\n if self.user is None:\\n # Creates a fake user object, but only if no user was found before\\n # This is useful to have a user object to send reject mails to\\n # generate user object, but only to send out reject message\\n self.user = User(id=-1, name=maintainer_realname, email=maintainer_email_address)\\n self._reject('Couldn\\\\'t find user %s. Exiting.' % self.user.email)\\n\\n self.user_id = self.user.id\\n log.debug(\\\"User found in database. Has id: %s\\\", self.user.id)\\n\\n if self.user.dmup is False:\\n log.debug(\\\"User has not accepted the DMUP\\\")\\n self._reject('You must accept the Debian Machine Usage Policies before uploading a package')\\n\\n self.files = self.changes.get_files()\\n self.files_to_remove = []\\n\\n distribution = self.changes['Distribution'].lower()\\n allowed_distributions = (\\n 'oldstable', 'stable', 'unstable', 'experimental', 'stable-backports', 'oldstable-backports',\\n 'oldstable-backports-sloppy', 'oldstable-security', 'stable-security', 'testing-security',\\n 'stable-proposed-updates',\\n 'testing-proposed-updates', 'sid', 'wheezy', 'squeeze', 'lenny', 'squeeze-backports', 'lenny-backports',\\n 'lenny-security', 'lenny-backports-sloppy', 'lenny-volatile', 'squeeze-security', 'squeeze-updates',\\n 'wheezy-security',\\n 'unreleased')\\n if distribution not in allowed_distributions:\\n self._reject(\\\"You are not uploading to one of those Debian distributions: %s\\\" %\\n (reduce(lambda x, xs: x + \\\" \\\" + xs, allowed_distributions)))\\n\\n # Look whether the orig tarball is present, and if not, try and get it from\\n # the repository.\\n (orig, orig_file_found) = filecheck.find_orig_tarball(self.changes)\\n if orig_file_found != constants.ORIG_TARBALL_LOCATION_LOCAL:\\n log.debug(\\\"Upload does not contain orig.tar.gz - trying to find it elsewhere\\\")\\n if orig and orig_file_found == constants.ORIG_TARBALL_LOCATION_REPOSITORY:\\n filename = os.path.join(pylons.config['debexpo.repository'],\\n self.changes.get_pool_path(), orig)\\n if os.path.isfile(filename):\\n log.debug(\\\"Found tar.gz in repository as %s\\\" % (filename))\\n shutil.copy(filename, pylons.config['debexpo.upload.incoming'])\\n # We need the orig.tar.gz for the import run, plugins need to extract the source package\\n # also Lintian needs it. However the orig.tar.gz is in the repository already, so we can\\n # remove it later\\n self.files_to_remove.append(orig)\\n\\n destdir = pylons.config['debexpo.repository']\\n\\n\\n # Check whether the files are already present\\n log.debug(\\\"Checking whether files are already in the repository\\\")\\n toinstall = []\\n pool_dir = os.path.join(destdir, self.changes.get_pool_path())\\n log.debug(\\\"Pool directory: %s\\\", pool_dir)\\n for file in self.files:\\n if os.path.isfile(file) and os.path.isfile(os.path.join(pool_dir, file)):\\n log.warning('%s is being installed even though it already exists' % file)\\n toinstall.append(file)\\n elif os.path.isfile(file):\\n log.debug('File %s is safe to install' % os.path.join(pool_dir, file))\\n toinstall.append(file)\\n # skip another corner case, where the dsc contains a orig.tar.gz but wasn't uploaded\\n # by doing nothing here for that case\\n\\n\\n\\n # initiate the git storage\\n gs = GitStorage(os.path.join(destdir, \\\"git\\\", self.changes['Source']))\\n if os.path.isdir(os.path.join(destdir, 'git', 'last')):\\n log.debug(\\\"folder exist, cleaning it\\\")\\n shutil.rmtree(os.path.join(destdir, \\\"git\\\", 'last', ''), True)\\n else:\\n log.debug(\\\"last folder doesn't exist, creating one\\\")\\n os.makedirs(os.path.join(destdir, 'git', 'last', ''))\\n\\n #building sources\\n\\n log.debug(\\\"building sources!\\\")\\n self._build_source(os.path.join(destdir, 'git', 'last', ''))\\n\\n #removing older file\\n if os.path.isdir(os.path.join(destdir, 'git', self.changes['source'], self.changes['source'])):\\n for i in glob(os.path.join(destdir, 'git', self.changes['source'], self.changes['source'], '*')):\\n if os.path.isdir(i):\\n shutil.rmtree(i)\\n else:\\n os.remove(i)\\n os.rmdir(os.path.join(destdir, 'git', self.changes['source'], self.changes['source']))\\n shutil.copytree(os.path.join(destdir, 'git', 'last', 'extracted'),\\n os.path.join(destdir, 'git', self.changes['source'], self.changes['source']))\\n os.path.join(destdir, 'git', self.changes['source'], self.changes['source'])\\n fileToAdd = self._get_files(os.path.join(destdir, 'git', self.changes['source'], self.changes['source']))\\n fileToAdd = self._clean_path(os.path.join(destdir, 'git', self.changes['source']), fileToAdd)\\n gs.change(fileToAdd)\\n\\n\\n\\n # Run post-upload plugins.\\n post_upload = Plugins('post-upload', self.changes, self.changes_file,\\n user_id=self.user_id)\\n if post_upload.stop():\\n log.critical('post-upload plugins failed')\\n self._remove_changes()\\n sys.exit(1)\\n\\n # Check whether a post-upload plugin has got the orig tarball from somewhere.\\n if not orig_file_found and not filecheck.is_native_package(self.changes):\\n (orig, orig_file_found) = filecheck.find_orig_tarball(self.changes)\\n if orig_file_found == constants.ORIG_TARBALL_LOCATION_NOT_FOUND:\\n # When coming here it means:\\n # a) The uploader did not include a orig.tar.gz in his upload\\n # b) We couldn't find a orig.tar.gz in our repository\\n # c) No plugin could get the orig.tar.gz\\n # ... time to give up\\n if orig == None:\\n orig = \\\"any original tarball (orig.tar.gz)\\\"\\n self._reject(\\\"Rejecting incomplete upload. \\\"\\n \\\"You did not upload %s and we didn't find it on any of our alternative resources.\\\\n\\\"\\\\\\n \\\"If you tried to upload a package which only increased the Debian revision part, make sure you include the full source (pass -sa to dpkg-buildpackage)\\\" %\\n ( orig ))\\n else:\\n toinstall.append(orig)\\n\\n # Check whether the debexpo.repository variable is set\\n if 'debexpo.repository' not in pylons.config:\\n self._fail('debexpo.repository not set')\\n\\n # Check whether debexpo.repository is a directory\\n if not os.path.isdir(pylons.config['debexpo.repository']):\\n self._fail('debexpo.repository is not a directory')\\n\\n # Check whether debexpo.repository is writeable\\n if not os.access(pylons.config['debexpo.repository'], os.W_OK):\\n self._fail('debexpo.repository is not writeable')\\n\\n qa = Plugins('qa', self.changes, self.changes_file, user_id=self.user_id)\\n if qa.stop():\\n self._reject('QA plugins failed the package')\\n\\n # Loop through parent directories in the target installation directory to make sure they\\n # all exist. If not, create them.\\n for dir in self.changes.get_pool_path().split('/'):\\n destdir = os.path.join(destdir, dir)\\n\\n if not os.path.isdir(destdir):\\n log.debug('Creating directory: %s' % destdir)\\n os.mkdir(destdir)\\n\\n # Install files in repository\\n for file in toinstall:\\n log.debug(\\\"Installing new file %s\\\" % (file))\\n shutil.move(file, os.path.join(destdir, file))\\n #git job is done, cleaning\\n shutil.rmtree(os.path.join(pylons.config['debexpo.repository'], 'git', 'last', ''))\\n\\n self._remove_temporary_files()\\n # Create the database rows\\n self._create_db_entries(qa)\\n\\n # Execute I'm happy to have post-successful-upload plugins\\n f = open(self.changes_file)\\n changes_contents = f.read()\\n f.close()\\n Plugins('post-successful-upload', self.changes, self.changes_file,\\n changes_contents=changes_contents)\\n\\n # Remove the changes file\\n self._remove_changes()\\n\\n # Refresh the Sources/Packages files.\\n log.debug('Updating Sources and Packages files')\\n r = Repository(pylons.config['debexpo.repository'])\\n r.update()\\n\\n log.debug('Done')\\n return 0\",\n \"def process_files(user, application, complete_path, init_es, tool, scan_name, user_host, to_name,hook_log=None):\\n try:\\n application = Application.objects.get(id=application)\\n scan = Scan.objects.get(name=scan_name)\\n scan.scanlog.status = 'Initiated'\\n scan.scanlog.save()\\n scan_log = scan.scanlog\\n scan_log.status = 'In Progress'\\n scan_log.save()\\n try:\\n if tool == 'Burp': \\n parse_burp(complete_path,user,init_es)\\n elif tool == 'ZAP':\\n ext = complete_path.split('.')[-1]\\n if ext == 'json':\\n parse_zap_json(complete_path,user,init_es)\\n elif ext == 'xml':\\n parse_zap(complete_path,user,init_es)\\n elif tool == 'AppSpider':\\n parse_appspider(complete_path,user,init_es)\\n elif tool == 'Arachni':\\n parse_arachni(complete_path,user,init_es)\\n elif tool == 'Bandit':\\n parse_bandit(complete_path,user,init_es)\\n elif tool == 'Checkmarx':\\n parse_checkmarx(complete_path,user,init_es)\\n elif tool == 'AppScan - DAST':\\n parse_appscan_dast(complete_path,user,init_es)\\n elif tool == 'AppScan - SAST':\\n parse_appscan_sast(complete_path,user,init_es)\\n elif tool == 'OWASP Dependency Checker':\\n parse_owasp_dep_checker(complete_path,user,init_es)\\n elif tool == 'w3af':\\n w = W3afParser(complete_path,user,init_es,tool)\\n w.parse_xml()\\n elif tool == \\\"HP Fortify\\\":\\n parse_hp_fortify(complete_path,user,init_es)\\n elif tool == \\\"Xanitizer\\\":\\n parse_xanitizer(complete_path,user,init_es)\\n elif tool == \\\"FindSecBugs\\\":\\n parser_findsecbug(complete_path,user,init_es) \\n info_debug_log(ip=user_host,user=user,event='XML Parsing',status='success')\\n if hook_log:\\n hook_log.scan_process_event = True\\n hook_log.scan_process_exception = ''\\n hook_log.scan_process_datetime = timezone.now()\\n hook_log.scan_id = scan.name\\n hook_log.vul_process_event = True\\n hook_log.vul_process_exception = ''\\n hook_log.vul_process_datetime = timezone.now()\\n hook_log.save()\\n scan_log.status = 'Completed'\\n scan_log.save()\\n except BaseException as e:\\n scan_log.status = 'Killed'\\n scan_log.save()\\n scan.delete()\\n log_exception(e)\\n if hook_log:\\n hook_log.vul_process_event = False\\n hook_log.vul_process_exception = e\\n hook_log.vul_process_datetime = timezone.now()\\n hook_log.scan_process_event = False\\n hook_log.scan_process_exception = e\\n hook_log.scan_process_datetime = timezone.now()\\n hook_log.scan_id = ''\\n hook_log.save()\\n # general_error_messages.delay(path='process_files function',msg=log_exception(e))\\n critical_debug_log(ip=user_host,user=user,event=e,status='failure')\\n except BaseException as e:\\n log_exception(e)\\n scan_log.status = 'Killed'\\n scan_log.save()\\n critical_debug_log(ip=user_host,user=user,event=e,status='failure')\\n if hook_log:\\n hook_log.scan_process_event = False\\n hook_log.scan_process_exception = e\\n hook_log.scan_process_datetime = timezone.now()\\n hook_log.scan_id = ''\\n hook_log.save() \\n finally:\\n info_debug_log(ip=user_host,user=user,event='Remove file after XML parsing',status='success')\\n remove_file(complete_path)\",\n \"def main():\\n\\n parser = argparse.ArgumentParser(description=\\\"generateTestStubs\\\")\\n\\n parser.add_argument(\\\"taskFile\\\",\\n help=\\\"Path for assignment file.\\\")\\n\\n args = parser.parse_args()\\n\\n if not os.path.exists(args.taskFile):\\n print(\\\"Task file does not exist.\\\")\\n sys.exit(1)\\n\\n taskMgr = EEWebLPProject()\\n taskMgr.initLP()\\n\\n #taskMgr.listProjects()\\n #taskMgr.loadTree([\\\"project_id=8008922\\\"])\\n tasks = taskMgr.getTasks([\\\"project_id=6890048\\\"],parent_id=8008922)\\n\\n fileByAssignee = taskMgr.getTaskOwners(args.taskFile)\\n taskMgr.updateTaskOwners(fileByAssignee,tasks)\",\n \"def test_create_files(self):\\n\\n testdir = \\\"test_output\\\"\\n test_submission = Submission()\\n self.addCleanup(os.remove, \\\"submission.tar.gz\\\")\\n self.addCleanup(shutil.rmtree, testdir)\\n\\n test_submission.create_files(testdir)\\n\\n self.doCleanups()\",\n \"def test_single_file(self, db, course_dir):\\n run_nbgrader([\\\"db\\\", \\\"assignment\\\", \\\"add\\\", \\\"ps1\\\", \\\"--db\\\", db])\\n run_nbgrader([\\\"db\\\", \\\"student\\\", \\\"add\\\", \\\"foo\\\", \\\"--db\\\", db])\\n\\n self._copy_file(join(\\\"files\\\", \\\"submitted-unchanged.ipynb\\\"), join(course_dir, \\\"source\\\", \\\"ps1\\\", \\\"p1.ipynb\\\"))\\n run_nbgrader([\\\"assign\\\", \\\"ps1\\\", \\\"--db\\\", db])\\n\\n self._copy_file(join(\\\"files\\\", \\\"submitted-unchanged.ipynb\\\"), join(course_dir, \\\"submitted\\\", \\\"foo\\\", \\\"ps1\\\", \\\"p1.ipynb\\\"))\\n run_nbgrader([\\\"autograde\\\", \\\"ps1\\\", \\\"--db\\\", db])\\n run_nbgrader([\\\"generate_feedback\\\", \\\"ps1\\\", \\\"--db\\\", db])\\n\\n assert exists(join(course_dir, \\\"feedback\\\", \\\"foo\\\", \\\"ps1\\\", \\\"p1.html\\\"))\",\n \"def workflow(base_dir, # base tool path\\n use_cache=1, # whether to skip already executed runs (in cache) or not (1/0)\\n ignore_git=0): # whether to ignore git version or not (1/0)\\n\\n # get some needed variables from config file\\n runs = int(config['general']['runs'])\\n workers = int(config['general']['workers'])\\n\\n batch_size = int(config['mtje']['batch_size'])\\n epochs = int(config['mtje']['epochs'])\\n use_malicious_labels = int(config['mtje']['use_malicious_labels'])\\n use_count_labels = int(config['mtje']['use_count_labels'])\\n gen_type = config['mtje']['gen_type']\\n similarity_measure = config['mtje']['similarity_measure'].lower()\\n net_type = 'mtje'\\n\\n training_n_samples = int(config['sorel20mDataset']['training_n_samples'])\\n validation_n_samples = int(config['sorel20mDataset']['validation_n_samples'])\\n test_n_samples = int(config['sorel20mDataset']['test_n_samples'])\\n\\n min_n_anchor_samples = int(config['freshDataset']['min_n_anchor_samples'])\\n max_n_anchor_samples = int(config['freshDataset']['max_n_anchor_samples'])\\n fresh_n_queries = int(config['freshDataset']['n_queries'])\\n n_evaluations = int(config['freshDataset']['n_evaluations'])\\n\\n f_c_epochs = int(config['familyClassifier']['epochs'])\\n f_c_train_split_proportion = int(config['familyClassifier']['train_split_proportion'])\\n f_c_valid_split_proportion = int(config['familyClassifier']['valid_split_proportion'])\\n f_c_test_split_proportion = int(config['familyClassifier']['test_split_proportion'])\\n f_c_batch_size = int(config['familyClassifier']['batch_size'])\\n\\n c_l_epochs = int(config['contrastiveLearning']['epochs'])\\n c_l_train_split_proportion = int(config['contrastiveLearning']['train_split_proportion'])\\n c_l_valid_split_proportion = int(config['contrastiveLearning']['valid_split_proportion'])\\n c_l_test_split_proportion = int(config['contrastiveLearning']['test_split_proportion'])\\n c_l_batch_size = int(config['contrastiveLearning']['batch_size'])\\n c_l_rank_size = int(config['contrastiveLearning']['rank_size'])\\n c_l_knn_k_min = int(config['contrastiveLearning']['knn_k_min'])\\n c_l_knn_k_max = int(config['contrastiveLearning']['knn_k_max'])\\n\\n # initialize Hash object\\n ch = Hash()\\n\\n # update hash with the content of the config file (for the current net type)\\n ch.update(json.dumps(dict(config.items('sorel20mDataset'))))\\n # get config file sha256 digest\\n dataset_config_sha = ch.get_b64()\\n\\n # update hash with the content of the config file (for the current net type)\\n ch.update(json.dumps(dict(config.items(net_type))))\\n # get config file sha256 digest\\n config_sha = ch.get_b64()\\n\\n # update hash with the content of the config file (for the freshDataset)\\n ch.update(json.dumps(dict(config.items('freshDataset'))))\\n # get config file sha256 digest\\n fresh_dataset_config_sha = ch.get_b64()\\n\\n # create copy of the current config hash digest\\n ch_copy = ch.copy()\\n\\n # update hash with the content of the config file (for the freshDataset)\\n ch.update(json.dumps(dict(config.items('familyClassifier'))))\\n # get config file sha256 digest\\n family_class_config_sha = ch.get_b64()\\n\\n # update hash with the content of the config file (for the freshDataset)\\n ch_copy.update(json.dumps(dict(config.items('contrastiveLearning'))))\\n # get config file sha256 digest\\n contr_learn_config_sha = ch_copy.get_b64()\\n\\n # instantiate key-n_samples dict\\n n_samples_dict = {'train': training_n_samples,\\n 'validation': validation_n_samples,\\n 'test': test_n_samples}\\n\\n # Note: The entrypoint names are defined in MLproject. The artifact directories\\n # are documented by each step's .py file.\\n\\n # start mlflow run\\n with mlflow.start_run() as active_run:\\n # get code git commit version\\n git_commit = active_run.data.tags.get(mlflow_tags.MLFLOW_GIT_COMMIT)\\n\\n # log config file\\n mlflow.log_text(json.dumps({s: dict(config.items(s)) for s in config.sections()}), 'config.txt')\\n\\n # set dataset destination dir\\n dataset_dir = os.path.join(base_dir, 'dataset')\\n # set dataset base path (directory containing 'meta.db')\\n dataset_base_path = os.path.join(dataset_dir, '09-DEC-2020', 'processed-data')\\n # set pre-processed dataset base path (directory containing .dat files)\\n pre_processed_dataset_dir = os.path.join(dataset_dir, '09-DEC-2020', 'pre-processed_dataset')\\n # set fresh dataset base path (directory containing .dat files)\\n fresh_dataset_dir = os.path.join(dataset_dir, 'fresh_dataset')\\n\\n # if pre-processed dataset files for this run parameters are not present, generate them\\n if not preproc_check_files(destination_dir=pre_processed_dataset_dir,\\n n_samples_dict=n_samples_dict):\\n logger.info(\\\"Pre-processed dataset not found.\\\")\\n\\n # if the original Sorel20M dataset is not present, download it\\n if not download_check_files(dataset_dir):\\n logger.info(\\\"Dataset not found.\\\")\\n\\n # run dataset downloader\\n download_dataset_run = run(\\\"download_dataset\\\", {\\n 'destination_dir': dataset_dir\\n }, config_sha=dataset_config_sha)\\n\\n # pre-process dataset\\n preprocess_dataset_run = run(\\\"preprocess_dataset\\\", {\\n 'ds_path': dataset_base_path,\\n 'destination_dir': pre_processed_dataset_dir,\\n 'training_n_samples': training_n_samples,\\n 'validation_n_samples': validation_n_samples,\\n 'test_n_samples': test_n_samples,\\n 'batch_size': batch_size,\\n 'remove_missing_features': str(os.path.join(dataset_base_path, \\\"shas_missing_ember_features.json\\\"))\\n }, config_sha=dataset_config_sha)\\n\\n # if the fresh dataset is not present, generate it\\n if not fresh_check_files(fresh_dataset_dir):\\n logger.info(\\\"Fresh dataset not found.\\\")\\n\\n # generate fresh dataset\\n build_fresh_dataset_run = run(\\\"build_fresh_dataset\\\", {\\n 'dataset_dest_dir': fresh_dataset_dir\\n }, config_sha=fresh_dataset_config_sha)\\n\\n # initialize results files dicts\\n results_files = {}\\n c_l_results_files = {}\\n\\n # instantiate common (between consecutive training runs) training parameters\\n common_training_params = {\\n 'ds_path': pre_processed_dataset_dir,\\n 'net_type': net_type if similarity_measure == 'dot' else net_type + '_{}'.format(similarity_measure),\\n 'gen_type': gen_type,\\n 'batch_size': batch_size,\\n 'epochs': epochs,\\n 'training_n_samples': training_n_samples,\\n 'validation_n_samples': validation_n_samples,\\n 'use_malicious_labels': use_malicious_labels,\\n 'use_count_labels': use_count_labels,\\n 'workers': workers\\n }\\n\\n # instantiate common (between consecutive training runs) evaluation parameters\\n common_evaluation_params = {\\n 'ds_path': pre_processed_dataset_dir,\\n 'net_type': net_type if similarity_measure == 'dot' else net_type + '_{}'.format(similarity_measure),\\n 'gen_type': gen_type,\\n 'batch_size': batch_size,\\n 'test_n_samples': test_n_samples,\\n 'evaluate_malware': use_malicious_labels,\\n 'evaluate_count': use_count_labels\\n }\\n\\n # for each training run\\n for training_run_id in range(runs):\\n logger.info(\\\"initiating training run n. {}\\\".format(str(training_run_id)))\\n\\n # -- Model Training and Evaluation Steps -------------------------------------------------------------------\\n # set training parameters\\n training_params = common_training_params\\n training_params.update({'training_run': training_run_id})\\n\\n # train network (get or run) on Sorel20M dataset\\n training_run = get_or_run(\\\"train_network\\\",\\n training_params,\\n git_commit,\\n ignore_git=bool(ignore_git),\\n use_cache=bool(use_cache),\\n resume=True,\\n config_sha=config_sha)\\n\\n # get model checkpoints path\\n checkpoint_path = parse.unquote(parse.urlparse(os.path.join(training_run.info.artifact_uri,\\n \\\"model_checkpoints\\\")).path)\\n\\n # set model checkpoint filename\\n checkpoint_file = os.path.join(checkpoint_path, \\\"epoch_{}.pt\\\".format(epochs))\\n\\n # set evaluation parameters\\n evaluation_params = common_evaluation_params\\n evaluation_params.update({'checkpoint_file': checkpoint_file})\\n\\n # evaluate model against Sorel20M dataset\\n evaluation_run = get_or_run(\\\"evaluate_network\\\",\\n evaluation_params,\\n git_commit,\\n ignore_git=bool(ignore_git),\\n use_cache=bool(use_cache),\\n config_sha=config_sha)\\n\\n # get model evaluation results path\\n results_path = parse.unquote(parse.urlparse(os.path.join(evaluation_run.info.artifact_uri,\\n \\\"model_results\\\")).path)\\n\\n # set model evaluation results filename\\n results_file = os.path.join(results_path, \\\"results.csv\\\")\\n\\n # add file path to results_files dictionary (used for plotting mean results)\\n results_files[\\\"run_id_\\\" + str(training_run_id)] = results_file\\n\\n # compute (and plot) all tagging results\\n all_tagging_results_run = get_or_run(\\\"compute_all_run_results\\\", {\\n 'results_file': results_file,\\n 'use_malicious_labels': use_malicious_labels,\\n 'use_tag_labels': 1\\n }, git_commit, ignore_git=bool(ignore_git), use_cache=bool(use_cache), config_sha=config_sha)\\n # ----------------------------------------------------------------------------------------------------------\\n\\n # -- Model Evaluation using Fresh Dataset Steps ------------------------------------------------------------\\n # evaluate model against fresh dataset\\n fresh_evaluation_run = get_or_run(\\\"evaluate_fresh\\\", {\\n 'fresh_ds_path': fresh_dataset_dir,\\n 'checkpoint_path': checkpoint_file,\\n 'net_type': net_type if similarity_measure == 'dot' else net_type + '_{}'.format(similarity_measure),\\n 'min_n_anchor_samples': min_n_anchor_samples,\\n 'max_n_anchor_samples': max_n_anchor_samples,\\n 'n_query_samples': fresh_n_queries,\\n 'n_evaluations': n_evaluations\\n }, git_commit, ignore_git=bool(ignore_git), use_cache=bool(use_cache), config_sha=fresh_dataset_config_sha)\\n\\n # get model evaluation results path\\n fresh_results_path = parse.unquote(parse.urlparse(os.path.join(fresh_evaluation_run.info.artifact_uri,\\n \\\"fresh_prediction_results\\\")).path)\\n\\n # set model evaluation results filename\\n fresh_results_file = os.path.join(fresh_results_path, \\\"fresh_prediction_results.json\\\")\\n\\n # compute (and plot) all family prediction results (on fresh dataset)\\n all_tagging_results_run = get_or_run(\\\"compute_all_run_fresh_results\\\", {\\n 'results_file': fresh_results_file\\n }, git_commit, ignore_git=bool(ignore_git), use_cache=bool(use_cache), config_sha=fresh_dataset_config_sha)\\n # ----------------------------------------------------------------------------------------------------------\\n\\n # -- Family Classifier Steps -------------------------------------------------------------------------------\\n # create family classifier from previously trained network and train it on fresh dataset\\n f_c_train_run = get_or_run(\\\"train_family_classifier\\\", {\\n 'fresh_ds_path': fresh_dataset_dir,\\n 'checkpoint_path': checkpoint_file,\\n 'epochs': f_c_epochs,\\n 'training_run': training_run_id,\\n 'train_split_proportion': f_c_train_split_proportion,\\n 'valid_split_proportion': f_c_valid_split_proportion,\\n 'test_split_proportion': f_c_test_split_proportion,\\n 'batch_size': f_c_batch_size\\n }, git_commit, ignore_git=bool(ignore_git), use_cache=bool(use_cache), config_sha=family_class_config_sha)\\n\\n # get model checkpoints path\\n f_c_checkpoint_path = parse.unquote(parse.urlparse(os.path.join(f_c_train_run.info.artifact_uri,\\n \\\"model_checkpoints\\\")).path)\\n\\n # set model checkpoint filename\\n f_c_checkpoint_file = os.path.join(f_c_checkpoint_path, \\\"epoch_{}.pt\\\".format(f_c_epochs))\\n\\n # evaluate model against fresh dataset\\n f_c_eval_run = get_or_run(\\\"evaluate_family_classifier\\\", {\\n 'fresh_ds_path': fresh_dataset_dir,\\n 'checkpoint_path': f_c_checkpoint_file,\\n 'training_run': training_run_id,\\n 'train_split_proportion': f_c_train_split_proportion,\\n 'valid_split_proportion': f_c_valid_split_proportion,\\n 'test_split_proportion': f_c_test_split_proportion,\\n 'batch_size': f_c_batch_size\\n }, git_commit, ignore_git=bool(ignore_git), use_cache=bool(use_cache), config_sha=family_class_config_sha)\\n\\n # get model evaluation results path\\n f_c_results_path = parse.unquote(parse.urlparse(os.path.join(f_c_eval_run.info.artifact_uri,\\n \\\"family_class_results\\\")).path)\\n\\n # set model evaluation results filename\\n f_c_results_file = os.path.join(f_c_results_path, \\\"results.csv\\\")\\n\\n # compute (and plot) all tagging results\\n f_c_compute_results_run = get_or_run(\\\"compute_all_family_class_results\\\", {\\n 'results_file': f_c_results_file,\\n 'fresh_ds_path': fresh_dataset_dir\\n }, git_commit, ignore_git=bool(ignore_git), use_cache=bool(use_cache), config_sha=family_class_config_sha)\\n # ----------------------------------------------------------------------------------------------------------\\n\\n # -- Contrastive Learning Steps ----------------------------------------------------------------------------\\n # create family classifier from previously trained network and train it on fresh dataset\\n c_l_train_run = get_or_run(\\\"train_contrastive_model\\\", {\\n 'fresh_ds_path': fresh_dataset_dir,\\n 'checkpoint_path': checkpoint_file,\\n 'epochs': c_l_epochs,\\n 'training_run': training_run_id,\\n 'train_split_proportion': c_l_train_split_proportion,\\n 'valid_split_proportion': c_l_valid_split_proportion,\\n 'test_split_proportion': c_l_test_split_proportion,\\n 'batch_size': c_l_batch_size\\n }, git_commit, ignore_git=bool(ignore_git), use_cache=bool(use_cache), config_sha=contr_learn_config_sha)\\n\\n # get model checkpoints path\\n c_l_checkpoint_path = parse.unquote(parse.urlparse(os.path.join(c_l_train_run.info.artifact_uri,\\n \\\"model_checkpoints\\\")).path)\\n\\n # set model checkpoint filename\\n c_l_checkpoint_file = os.path.join(c_l_checkpoint_path, \\\"epoch_{}.pt\\\".format(c_l_epochs))\\n\\n # evaluate model against fresh dataset\\n c_l_eval_run = get_or_run(\\\"evaluate_contrastive_model\\\", {\\n 'fresh_ds_path': fresh_dataset_dir,\\n 'checkpoint_path': c_l_checkpoint_file,\\n 'training_run': training_run_id,\\n 'train_split_proportion': c_l_train_split_proportion,\\n 'valid_split_proportion': c_l_valid_split_proportion,\\n 'test_split_proportion': c_l_test_split_proportion,\\n 'batch_size': c_l_batch_size,\\n 'rank_size': c_l_rank_size,\\n 'knn_k_min': c_l_knn_k_min,\\n 'knn_k_max': c_l_knn_k_max\\n }, git_commit, ignore_git=bool(ignore_git), use_cache=bool(use_cache), config_sha=contr_learn_config_sha)\\n\\n # get model evaluation results path\\n c_l_results_path = parse.unquote(parse.urlparse(os.path.join(c_l_eval_run.info.artifact_uri,\\n \\\"contrastive_learning_results\\\")).path)\\n\\n # set model evaluation results filename\\n c_l_results_file = os.path.join(c_l_results_path, \\\"results.csv\\\")\\n\\n # compute (and plot) all tagging results\\n c_l_compute_results_run = get_or_run(\\\"compute_contrastive_learning_results\\\", {\\n 'results_file': c_l_results_file,\\n 'fresh_ds_path': fresh_dataset_dir,\\n 'knn_k_min': c_l_knn_k_min,\\n 'knn_k_max': c_l_knn_k_max\\n }, git_commit, ignore_git=bool(ignore_git), use_cache=bool(use_cache), config_sha=contr_learn_config_sha)\\n\\n # get model evaluation results path\\n c_l_scores_dir_path = parse.unquote(parse.urlparse(os.path.join(c_l_compute_results_run.info.artifact_uri,\\n \\\"contrastive_learning_scores\\\")).path)\\n\\n # add dir path to c_l_results_files dictionary (used for plotting mean score trends)\\n c_l_results_files[\\\"run_id_\\\" + str(training_run_id)] = c_l_scores_dir_path\\n # ----------------------------------------------------------------------------------------------------------\\n\\n # create temp dir name using the value from config_sha (sha of some parts of the config file).\\n # -> This is done in order to have a different (but predictable) run_to_filename at each set of runs with\\n # different parameters. This allows mlflow to know when it is needed to run 'per_tag_plot_runs'. If, on the\\n # other hand a simple tempfile.TemporaryDirectory() was used then mlflow would run 'per_tag_plot_runs' every\\n # time, even if a precedent run was available (because the parameter 'run_to_filename_json' would be different)\\n tempdir = os.path.join(base_dir, 'tmp_{}'.format(config_sha))\\n # create temp dir\\n os.makedirs(tempdir, exist_ok=True)\\n\\n # create contrastive learning temp dir name using the value from config_sha (sha of some parts of the config\\n # file). -> This is done in order to have a different (but predictable) run_to_filename at each set of runs with\\n # different parameters. This allows mlflow to know when it is needed to run 'per_tag_plot_runs'. If, on the\\n # other hand a simple tempfile.TemporaryDirectory() was used then mlflow would run 'per_tag_plot_runs' every\\n # time, even if a precedent run was available (because the parameter 'run_to_filename_json' would be different)\\n c_l_tempdir = os.path.join(base_dir, 'tmp_{}'.format(contr_learn_config_sha))\\n # create temp dir\\n os.makedirs(c_l_tempdir, exist_ok=True)\\n\\n # set run-to-filename file path\\n run_to_filename = os.path.join(tempdir, \\\"results.json\\\")\\n\\n # create and open the results.json file in write mode\\n with open(run_to_filename, \\\"w\\\") as output_file:\\n # save results_files dictionary as a json file\\n json.dump(results_files, output_file)\\n\\n mlflow.log_artifact(run_to_filename, \\\"run_to_filename\\\")\\n\\n # set run-to-filename file path\\n c_l_run_to_filename = os.path.join(c_l_tempdir, \\\"c_l_results.json\\\")\\n\\n # create and open the c_l_results.json file in write mode\\n with open(c_l_run_to_filename, \\\"w\\\") as output_file:\\n # save c_l_results_files dictionary as a json file\\n json.dump(c_l_results_files, output_file)\\n\\n mlflow.log_artifact(c_l_run_to_filename, \\\"run_to_filename\\\")\\n\\n # if there is more than 1 run, compute also per-tag mean results\\n if runs > 1:\\n # plot all roc distributions\\n per_tag_plot_runs = get_or_run(\\\"plot_all_roc_distributions\\\", {\\n 'run_to_filename_json': run_to_filename,\\n 'use_malicious_labels': use_malicious_labels,\\n 'use_tag_labels': 1\\n }, git_commit, ignore_git=bool(ignore_git), use_cache=bool(use_cache), config_sha=config_sha)\\n\\n # plot all model mean scores trends\\n plot_all_scores_trends = get_or_run(\\\"plot_all_contrastive_scores_trends\\\", {\\n 'run_to_filename_json': c_l_run_to_filename,\\n 'knn_k_min': c_l_knn_k_min,\\n 'knn_k_max': c_l_knn_k_max\\n }, git_commit, ignore_git=bool(ignore_git), use_cache=bool(use_cache), config_sha=contr_learn_config_sha)\\n\\n # remove temp files and temporary directory\\n os.remove(run_to_filename)\\n # os.remove(fresh_run_to_filename)\\n os.rmdir(tempdir)\\n\\n # remove contrastive learning temp files and temporary directory\\n os.remove(c_l_run_to_filename)\\n # os.remove(fresh_run_to_filename)\\n os.rmdir(c_l_tempdir)\",\n \"def submission():\\n logging.info('Loading and compiling models...')\\n model_systole = get_model()\\n model_diastole = get_model()\\n\\n logging.info('Loading models weights...')\\n model_systole.load_weights('../models/weights/weights_systole_best.hdf5')\\n model_diastole.load_weights('../models/weights/weights_diastole_best.hdf5')\\n\\n logging.info('Loading validation data...')\\n X, ids = load_validation_data()\\n\\n logging.info('Pre-processing images...')\\n X = preprocess(X)\\n\\n batch_size = 32\\n logging.info('Predicting on validation data...')\\n pred_systole = model_systole.predict(X, batch_size=batch_size, verbose=1)\\n pred_diastole = model_diastole.predict(X, batch_size=batch_size, verbose=1)\\n\\n # real predictions to CDF\\n cdf_pred_systole = correct_cdf(pred_systole)\\n cdf_pred_diastole = correct_cdf(pred_diastole)\\n\\n logging.info('Accumulating results...')\\n sub_systole = accumulate_study_results(ids, cdf_pred_systole)\\n sub_diastole = accumulate_study_results(ids, cdf_pred_diastole)\\n\\n # write to submission file\\n logging.info('Writing submission to file...')\\n fi = csv.reader(open('../input/sample_submission_validate.csv'))\\n f = open('../submissions/submission_13.csv', 'w')\\n fo = csv.writer(f, lineterminator='\\\\n')\\n fo.writerow(next(fi))\\n for line in fi:\\n idx = line[0]\\n key, target = idx.split('_')\\n key = int(key)\\n out = [idx]\\n if key in sub_systole:\\n if target == 'Diastole':\\n out.extend(list(sub_diastole[key][0]))\\n else:\\n out.extend(list(sub_systole[key][0]))\\n else:\\n logging.info('Miss {0}'.format(idx))\\n fo.writerow(out)\\n f.close()\\n\\n logging.info('Done.')\",\n \"def main():\\n # <<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<\\n # ~~ Handles input arguments\\n options = set_parser()\\n\\n # <<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<\\n # ~~~~ Environment ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\\n update_config(options)\\n version = CFGS.configs[CFGS.cfgname].get('version', 'trunk')\\n\\n # <<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<\\n # ~~~~ banners ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\\n svn_banner(CFGS.get_root(), version)\\n\\n # <<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<\\n # ~~~~ Works for all configurations unless specified ~~~~~~~~~~~~~~~\\n # Checking if symlink is available\\n if options.use_link and not check_sym_link(options.use_link):\\n raise TelemacException(\\\\\\n '\\\\nThe symlink option is only available on Linux systems. '\\n 'Remove the option and try again')\\n\\n # <<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<\\n # ~~~~ Forces not to use any Xwindows backend for Jenkins ~~~~~~~~~~\\n if options.vnv_post:\\n import matplotlib.pyplot as plt\\n\\n plt.switch_backend('agg')\\n\\n # <<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<\\n # ~~~~ Reporting errors ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\\n xcpts = Messages()\\n\\n # ~~~~ Reporting summary ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\\n if options.notebook:\\n type_valid = 'notebooks'\\n else:\\n type_valid = 'examples'\\n\\n report = Report(options.report_name, type_valid)\\n\\n # ~~~ Running validation\\n cfg = config_corrections(options, CFGS.cfgname)\\n\\n if options.notebook:\\n run_validation_notebooks(options, report, xcpts)\\n else:\\n run_validation_python(cfg, options, report, xcpts)\\n\\n # Writting report\\n if options.report_name != '':\\n report.write()\\n\\n # <<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<\\n # ~~~~ Reporting errors ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\\n if xcpts.not_empty():\\n print('\\\\n\\\\nHummm ... I could not complete my work.\\\\n'\\n '{}\\\\n{}'.format('~' * 72, xcpts.except_messages()))\\n sys.exit(1)\\n\\n # <<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<\\n # ~~~~ Jenkins' success message ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\\n else:\\n print('\\\\n\\\\nMy work is done\\\\n\\\\n')\\n sys.exit(0)\",\n \"def main(aArgs, aTransmitToTaskHandler):\\n\\n global TASK_HANDLER_HOST\\n global TASK_HANDLER_PORT\\n\\n # if the option --printList is passed, only generate the file\\n # reftestList.txt\\n if hasattr(aArgs, \\\"printList\\\"):\\n printReftestList()\\n exit(0)\\n\\n # if the option --printNotes is passed, only generate the\\n # testsuiteNotes html page.\\n if hasattr(aArgs, \\\"printNotes\\\"):\\n printNotes()\\n exit(0)\\n\\n # if the option --printListOfTests is passed, only generate a ListOfTests\\n # from a file containing test URIs\\n if hasattr(aArgs, \\\"printListOfTests\\\"):\\n if not aArgs.printListOfTests:\\n print(\\\"No input file!\\\", file=sys.stderr)\\n exit(0)\\n printListOfTests(aArgs.printListOfTests)\\n exit(0)\\n\\n # create the date directory\\n now = datetime.utcnow();\\n directory = MATHJAX_WEB_PATH + \\\"results/\\\"\\n if not os.path.exists(directory):\\n os.makedirs(directory)\\n\\n # create the subdirectory\\n if aArgs.output and re.match(\\\"^([0-9]|[a-z]|[A-Z]|-|/){1,50}/$\\\",\\n aArgs.output):\\n directory += aArgs.output\\n else:\\n directory += now.strftime(\\\"%Y-%m-%d/%H-%M-%S/\\\")\\n\\n if not os.path.exists(directory):\\n os.makedirs(directory)\\n\\n # execute testing instances for all the config files\\n configFileList = aArgs.config.split(\\\",\\\")\\n\\n for configFile in configFileList:\\n\\n configFile = configFile\\n\\n if (not os.path.isfile(configFile)):\\n print(\\\"Warning: config file \\\" + configFile + \\\" not found!\\\",\\n file=sys.stderr)\\n continue\\n\\n # Load configuration file\\n config = ConfigParser.ConfigParser()\\n config.readfp(open(configFile))\\n\\n # framework section\\n section = \\\"framework\\\"\\n useGrid = getBooleanOption(config, section, \\\"useGrid\\\")\\n host = config.get(section, \\\"host\\\")\\n # host == \\\"default\\\" is handled below\\n port = config.getint(section, \\\"port\\\")\\n if (port == -1):\\n port = SELENIUM_SERVER_PORT\\n mathJaxPath = config.get(section, \\\"mathJaxPath\\\")\\n if (mathJaxPath == \\\"default\\\"):\\n mathJaxPath = DEFAULT_MATHJAX_PATH\\n mathJaxTestPath = config.get(section, \\\"mathJaxTestPath\\\")\\n if (mathJaxTestPath == \\\"default\\\"):\\n mathJaxTestPath = MATHJAX_TEST_LOCAL_URI + \\\"testsuite/\\\"\\n timeOut = config.getint(section, \\\"timeOut\\\")\\n if (timeOut == -1):\\n timeOut = DEFAULT_TIMEOUT\\n timeOut = timeOut * 1000 # convert in ms\\n useWebDriver = getBooleanOption(config, section, \\\"useWebDriver\\\")\\n fullScreenMode = getBooleanOption(config, section, \\\"fullScreenMode\\\")\\n formatOutput = getBooleanOption(config, section, \\\"formatOutput\\\")\\n compressOutput = getBooleanOption(config, section, \\\"compressOutput\\\")\\n\\n # platform section\\n section = \\\"platform\\\"\\n operatingSystem = config.get(section, \\\"operatingSystem\\\")\\n if (operatingSystem == \\\"default\\\"):\\n operatingSystem = OS_LIST[0]\\n if (host == \\\"default\\\"):\\n host = HOST_LIST[HOST_LIST_OS.index(OS_LIST.index(operatingSystem))]\\n browserList = config.get(section, \\\"browser\\\").split()\\n browserVersionList = config.get(section, \\\"browserVersion\\\").split()\\n browserModeList = config.get(section, \\\"browserMode\\\").split()\\n browserPath = config.get(section, \\\"browserPath\\\")\\n fontList = config.get(section, \\\"font\\\").split()\\n outputJaxList = config.get(section, \\\"outputJax\\\").split()\\n \\n # testsuite section\\n section = \\\"testsuite\\\"\\n runSlowTests = getBooleanOption(config, section, \\\"runSlowTests\\\")\\n runSkipTests = getBooleanOption(config, section, \\\"runSkipTests\\\")\\n listOfTests = config.get(section, \\\"listOfTests\\\")\\n startID = config.get(section, \\\"startID\\\")\\n if (startID == \\\"default\\\"):\\n startID = \\\"\\\"\\n \\n # When more than one browser is specified, browserPath is ignored.\\n if (len(browserList) > 1 and browserPath != \\\"default\\\"):\\n print(\\\"Warning: browserPath ignored\\\", file=sys.stderr)\\n browserPath = \\\"default\\\"\\n\\n for browser in browserList:\\n\\n if (browser == \\\"default\\\"):\\n browser = BROWSER_LIST[0]\\n\\n for font in fontList:\\n\\n if (font == \\\"default\\\"):\\n font = FONT_LIST[0]\\n\\n for outputJax in outputJaxList:\\n\\n if (outputJax == \\\"default\\\"):\\n outputJax = OUTPUT_JAX_LIST[0]\\n\\n for browserVersion in browserVersionList:\\n\\n # browserModeList is only relevant for MSIE\\n if not(browser == \\\"MSIE\\\"):\\n browserModeList2 = [\\\"default\\\"]\\n else:\\n browserModeList2 = browserModeList\\n \\n for browserMode in browserModeList2:\\n \\n # Create a Selenium instance\\n selenium = \\\\\\n seleniumMathJax.seleniumMathJax(useWebDriver,\\n useGrid,\\n host,\\n port,\\n mathJaxPath,\\n mathJaxTestPath,\\n operatingSystem,\\n browser,\\n browserVersion,\\n browserMode,\\n browserPath,\\n font,\\n outputJax,\\n timeOut,\\n fullScreenMode)\\n \\n if aTransmitToTaskHandler:\\n taskHandler = [TASK_HANDLER_HOST,\\n TASK_HANDLER_PORT,\\n str(os.getpid())]\\n else:\\n taskHandler = None\\n\\n # Create the test suite\\n suite = reftest.reftestSuite(taskHandler,\\n runSlowTests,\\n runSkipTests,\\n listOfTests,\\n startID)\\n # use the specified file name\\n if hasattr(aArgs, \\\"filename\\\"):\\n filename = aArgs.filename\\n else:\\n filename = getOutputFileName(directory,\\n selenium,\\n suite)\\n runTestingInstance(directory, selenium, suite,\\n formatOutput, compressOutput,\\n filename)\\n # end browserMode\\n # end browserVersion\\n #end outputJax\\n # end for font\\n # end browser\",\n \"def feed_jobs(project_name, user_name, config_opts):\\n time_start = time.time()\\n logfile = open('job_feeder.log', 'a')\\n error_file = open('job_feeder.err', 'a')\\n\\n banner_list = banner(_MODULE_NAME, _MODULE_VERSION, _REVISION_DATE, _AUTHORS, '', _DESCRIPTION)\\n for line in banner_list:\\n print (line)\\n logfile.write(line + '\\\\n')\\n \\n cwd = os.getcwd()\\n slurm_path = cwd + '/job_templates'\\n job_pool_path = cwd + '/jobpool'\\n scratch_path = os.environ['GLOBAL_SCRATCH'] + '/' + user_name + '/' + project_name\\n result_path = cwd + '/archive'\\n problem_path = cwd + '/lost+found'\\n queue_file_path = cwd + '/queue_list.dat'\\n\\n chk_mkdir(scratch_path)\\n chk_mkdir(result_path)\\n chk_mkdir(problem_path)\\n\\n # Makes sure all necessary components are present\\n if not os.path.isdir(slurm_path):\\n error_file.write('no slurm path')\\n sys.exit('Missing dir: ' + slurm_path)\\n if not os.path.isdir(job_pool_path):\\n error_file.write('no jobpool path')\\n sys.exit('Missing dir: ' + job_pool_path)\\n if not os.path.isdir(result_path):\\n error_file.write('no result path')\\n sys.exit('Missing dir: ' + result_path)\\n if not os.path.isdir(problem_path):\\n error_file.write('no problem path')\\n sys.exit('Missing dir: ' + problem_path)\\n if not os.path.isfile(queue_file_path):\\n error_file.write('no queue path')\\n sys.exit('Missing dir: ' + queue_file_path)\\n\\n\\n # Keeps track of the run dir\\n run_dir_counter = 0\\n quickcycle_flag = False\\n job_class_list = []\\n jobs_length = 0\\n job_lines = []\\n #job_tracker.log keeps track of all the jobs that at last check hadn't been processed after their submission\\n #so this part checks for the spillover jobs from the last run that needs processing\\n if os.path.isfile('job_tracker.log'):\\n with open('job_tracker.log', 'r') as job_logfile:\\n job_lines = job_logfile.readlines()\\n for line in job_lines:\\n words = line.rstrip().rsplit(',')\\n new_job = []\\n new_job.append(words[0])\\n new_job[-1] = Job(new_job[-1], words[1])\\n new_job[-1].path = words[2]\\n new_job[-1].slurm_id = words[3]\\n job_class_list.append(new_job[-1]) \\n\\n tmp_str = \\\"cp job_tracker.log job_tracker_old.log\\\"\\n os.system(tmp_str)\\n\\n job_class_list = check_jobs(user_name, scratch_path, result_path, problem_path, job_class_list)\\n if jobs_length != len(job_class_list):\\n print (\\\"-------------------------------------------------------------------------------\\\")\\n print (\\\"Jobs running at: \\\" + std_datetime_str())\\n job_logfile = open('job_tracker.log', 'w')\\n jobs_length = len(job_class_list)\\n for job in job_class_list:\\n tmp_str = str(job.name) + ',' + str(job.cluster) + ',' + str(job.path) + ',' + str(job.slurm_id) + '\\\\n' \\n job_logfile.write(tmp_str)\\n print (tmp_str.strip('\\\\n'))\\n job_logfile.flush()\\n job_logfile.close()\\n \\n\\n if config_opts['job_sched'] == 'SLURM':\\n counter = 0\\n while 1:\\n queue_list = [] # List of quadruples (cluster name, partition name, total jobs that can be run, job type)\\n queue_file = open(queue_file_path, 'r')\\n # Reads the list of available queues\\n while 1:\\n line = queue_file.readline()\\n if not line:\\n break\\n words = line.split()\\n if len(words) == 4:\\n if words[0][0] != '#':\\n queue_list.append(words)\\n queue_file.close()\\n quickcycle_flag = False\\n \\n job_logfile = open('job_tracker.log', 'w')\\n\\n # Process the queues\\n for queue in queue_list:\\n\\n # Check current load on the queue\\n if len(queue[1]) < 10:\\n tmp_str = \\\"squeue -M \\\" + queue[0] + \\\" -u \\\" + user_name + \\\" | grep '\\\" + queue[1] + \\\" ' | grep 'R\\\\|PD' | wc -l\\\"\\n else:\\n tmp_str = \\\"squeue -M \\\" + queue[0] + \\\" -u \\\" + user_name + \\\" | grep '\\\" + queue[1][0:9] + \\\" ' | grep 'R\\\\|PD' | wc -l\\\"\\n queue_load = int(subprocess.Popen(tmp_str, shell=True, stdout=subprocess.PIPE).stdout.read())\\n # Check for space on the queue for new jobs\\n if queue_load < int(queue[2]):\\n n_new_jobs = int(queue[2]) - queue_load\\n if n_new_jobs > (int(queue[2]) / 2):\\n quickcycle_flag = True\\n if queue[3] == 'long':\\n job_pool_type_list = ( 'long', 'short')\\n elif queue[3] == 'short':\\n job_pool_type_list = ('short',)\\n else:\\n sys.exit('Unknown queue type')\\n\\n job_counter = 0\\n # Make a list of job source paths\\n job_source_path_list = []\\n for job_pool_type in job_pool_type_list:\\n # Jobpool folders sorted by chronology of job_generation\\n for folder in sorted(os.listdir(job_pool_path + '/' + job_pool_type)):\\n # Job folders within a pool sorted by chronology of ease of calculation as done during generation phase\\n for job in sorted(os.listdir(job_pool_path + '/' + job_pool_type + '/' + folder)):\\n if job_counter == n_new_jobs:\\n break\\n tmp_str = job_pool_path + '/' + job_pool_type + '/' + folder + '/' + job\\n if os.path.isdir(tmp_str):\\n job_source_path_list.append(tmp_str)\\n job_counter += 1\\n\\n # Goes through the list of jobs and moves the necessary job files into the corresponding scratch folders\\n for job_source_path in job_source_path_list:\\n #print (job_source_path)\\n if len(job_source_path.split('/')) < 2:\\n continue\\n if len(job_source_path.split('/')[-2].split('_')) < 6:\\n continue\\n prog = job_source_path.split('/')[-2].split('_')[1]\\n lib = \\\"\\\".join(job_source_path.split('/')[-2].split('_')[2:-3])\\n job_no = job_source_path.split('/')[-2].split('_')[0] + '_' + job_source_path.split('/')[-1]\\n j_no = job_source_path.split('/')[-1]\\n slurm_script = project_name + '_' + prog + '_' + queue[1] + '.sh'\\n \\n while 1:\\n job_target_path = scratch_path + '/%07d' % run_dir_counter\\n if os.path.isdir(job_target_path):\\n run_dir_counter += 1\\n else:\\n chk_mkdir(job_target_path)\\n run_dir_counter += 1\\n break\\n tmp_str = 'mv ' + job_source_path + ' ' + job_target_path + '/' + job_no\\n os.system(tmp_str)\\n logfile.write(tmp_str + '\\\\n')\\n tmp_str = 'mv ' + job_target_path + '/' + job_no + '/' + j_no + '.inp' + ' ' + job_target_path + '/' + job_no + '/' + prog + '.' + lib + '.' + job_no + '.inp'\\n os.system(tmp_str)\\n logfile.write(tmp_str + '\\\\n')\\n\\n # Move slurm script into job folder\\n slurm_exists = False\\n for root, directories, filenames in os.walk(job_target_path):\\n for filename in fnmatch.filter(filenames, '*.sh'):\\n if filename != None:\\n slurm_exists = True\\n slurm_script = os.path.join(root, filename)\\n if slurm_exists:\\n pass\\n else:\\n #tmp_str = 'cp ' + slurm_path + '/' + slurm_script + ' ' + job_target_path + '/' + job_no + '/'\\n #os.system(tmp_str)\\n slurm_file = job_target_path + '/' + job_no + '/' + slurm_script\\n with open (slurm_path + '/' + slurm_script,'r') as temp:\\n slurm_lines = temp.readlines()\\n for i,line in enumerate(slurm_lines):\\n if 'infile here' in line:\\n slurm_lines[i] = 'export INFILE=' + prog + '.' + lib + '.' + job_no + '.inp\\\\n'\\n elif 'outfile here' in line:\\n slurm_lines[i] = 'export OUTFILE=' + prog + '.' + lib + '.' + job_no + '.out\\\\n'\\n with open (slurm_file,'w') as temp_wr:\\n temp_wr.writelines(slurm_lines)\\n\\n os.chdir(job_target_path + '/' + job_no)\\n tmp_str = \\\"sed -i \\\\\\\"8i#SBATCH --job-name=\\\"+ prog + '.' + lib + '.' + job_no + \\\"\\\\\\\" \\\" + slurm_script\\n os.system(tmp_str)\\n\\n # Submit job to the queue\\n #os.environ[\\\"PATH\\\"] += os.pathsep + cwd + '/job_templates'\\n tmp_str = 'sbatch ' + slurm_script\\n job_class_list.append(prog+ '.' + lib + '.' + job_no)\\n job_class_list[-1]=Job(job_class_list[-1], queue[0])\\n job_class_list[-1].slurm_submit_id(tmp_str)\\n\\n job = job_class_list[-1]\\n tmp_str = str(job.name) + ',' + str(job.cluster) + ',' + str(job.path) + ',' + str(job.slurm_id) + '\\\\n'\\n #print (tmp_str)\\n job_logfile.write(tmp_str)\\n tmp_str = std_datetime_str() + \\\": Submitting \\\" + prog + '.' + lib + '.' + job_no + ' at ' + job_target_path + '/' + job_no\\n logfile.write(tmp_str + '\\\\n\\\\n')\\n\\n os.chdir(cwd)\\n job_logfile.flush()\\n job_logfile.close()\\n # TODO: Need to process finished jobs still\\n\\n if quickcycle_flag:\\n time.sleep(60)\\n job_class_list = check_jobs(user_name, scratch_path, result_path, problem_path, job_class_list)\\n #counter = counter + 1\\n if jobs_length != len(job_class_list):\\n print (\\\"Jobs running at: \\\" + std_datetime_str())\\n jobs_length = len(job_class_list)\\n tmp_str = \\\"cp job_tracker.log job_tracker_old.log\\\"\\n os.system(tmp_str)\\n job_trackfile = open('job_tracker.log', 'w')\\n for job in job_class_list:\\n tmp_str = str(job.name) + ',' + str(job.cluster) + ',' + str(job.path) + ',' + str(job.slurm_id) + '\\\\n' \\n job_trackfile.write(tmp_str)\\n print(tmp_str.strip('\\\\n'))\\n job_trackfile.flush()\\n job_trackfile.close()\\n else:\\n time.sleep(500)\\n job_class_list = check_jobs(user_name, scratch_path, result_path, problem_path, job_class_list)\\n #counter = counter + 1\\n if jobs_length != len(job_class_list):\\n print (\\\"Jobs running at: \\\" + std_datetime_str())\\n jobs_length = len(job_class_list)\\n tmp_str = \\\"cp job_tracker.log job_tracker_old.log\\\"\\n os.system(tmp_str)\\n job_trackfile = open('job_tracker.log', 'w')\\n for job in job_class_list:\\n tmp_str = str(job.name) + ',' + str(job.cluster) + ',' + str(job.path) + ',' + str(job.slurm_id) + '\\\\n' \\n job_trackfile.write(tmp_str)\\n print(tmp_str.strip('\\\\n'))\\n job_trackfile.flush()\\n job_trackfile.close()\\n\\n # end of run section (Note: since we use an endless loop, we will probably never use the regular exit)\\n tmp_str = \\\"------------------------------------------------------------------------------ \\\"\\n print (tmp_str)\\n logfile.write(tmp_str + '\\\\n')\\n\\n tmp_str = tot_exec_time_str(time_start) + '\\\\n' + std_datetime_str()\\n print (tmp_str + '\\\\n\\\\n\\\\n')\\n logfile.write(tmp_str + '\\\\n\\\\n\\\\n')\\n logfile.close()\\n error_file.close()\\n\\n # Check whether error files contain anything\\n chk_rmfile(error_file)\\n\\n return 0\",\n \"def run_test(self):\\n\\n # populate *_ps sets\\n self.enter_project_file()\\n\\n # populate *_dir sets\\n self.enter_directories()\\n\\n # The files in the directories makes up the largest possible set of files\\n self.result_files = self.result_files_dir\\n self.design_files = self.design_files_dir\\n self.design_space_files = self.design_space_files_dir\\n self.test_bench_files = self.test_bench_files_dir\\n\\n # populate *_ms sets\\n self.enter_meta_results_file()\\n\\n # populate *_OK sets\\n self.check_analysis_status()\\n\\n df = {'design_files_dir' : list(self.design_files_dir),'design_files_pr' : list(self.design_files_pr),\\n 'design_files_ms' : list(self.design_files_ms), 'design_files_OK' : list(self.design_files_OK)}\\n\\n ds = {'design_space_files_dir' : list(self.design_space_files_dir),\\n 'design_space_files_pr' : list(self.design_space_files_pr)}\\n\\n rs = {'result_files_dir' : list(self.result_files_dir), 'result_files_ms' : list(self.result_files_ms),\\n 'result_files_OK' : list(self.result_files_OK)}\\n\\n tb = {'test_bench_files_dir' : list(self.test_bench_files_dir),\\n 'test_bench_files_ms' : list(self.test_bench_files_ms)}\\n\\n srl = SummaryReportsLinks(self.result_files_dir)\\n\\n lf = {'files_linked_from_sum_reps' : srl.get_files(),\\n 'folders_linked_from_sum_reps' : srl.get_folders()}\\n\\n # 'test_bench_files_pr' : list(self.test_bench_files_pr),\\n \\n json_test = {'design_files' : df, 'design_space_files' : ds, 'result_files' : rs,\\n 'test_bench_files' : tb, 'stat_files' : self.stat_files,\\n 'files_linked_from_sum_reps' : lf}\\n\\n with open('test_run.json','wb') as f_out:\\n json.dump(json_test, f_out, indent=4)\",\n \"def __call__(self, path):\\n\\n # Iterates through a directory of raw sources and builds staging databases\\n databases = self.process(path)\\n\\n # Output database file\\n qafile = os.path.join(path, \\\"questions.db\\\")\\n\\n # Build consolidated SQLite questions database\\n db2qa = DB2QA()\\n db2qa(databases, qafile)\",\n \"def main(unused_argv):\\n make_dir(FLAGS.raw_dir)\\n\\n # Get paths of download/extracted training and evaluation files.\\n print(\\\"Downloading data from source\\\")\\n train_files = get_raw_files(FLAGS.raw_dir, constants.TRAIN_DATA_SOURCES)\\n eval_files = get_raw_files(FLAGS.raw_dir, constants.EVAL_DATA_SOURCES)\",\n \"def pre_testing(predictor_exe, parameters_xml, test_param, queries):\\n\\n run('mkdir -v tmp-testing', shell=True)\\n pred = 'Fiana' if 'Fiana' in predictor_exe else 'Anna'\\n run('mkdir -v tmp-testing/clarity-{}'.format(pred), shell=True)\\n print('The temporary files will be saved in the directory tmp-testing')\\n for i in PARAMS:\\n print('\\\\n ******** Running for: {} documents ******** \\\\n'.format(i))\\n output = 'tmp-testing/clarity-{}/predictions-{}'.format(pred, i)\\n run('{} {} -{}={} {} > {}'.format(predictor_exe, parameters_xml, test_param, i,\\n queries, output), shell=True)\",\n \"def main():\\n tpd_file_name = get_nonexisting_file(\\\"Enter name of new tpd file: \\\")\\n tpd = TrainPredictData(tpd_file_name)\\n\\n print \\\"You can now enter the file paths of the the newly created tpd file.\\\"\\n print \\\"If you want to skip a data set, just press enter without typing anything.\\\"\\n\\n train_raw_path = get_existing_file(\\\"Enter training raw path: \\\", skip=True)\\n if train_raw_path is not None:\\n train_raw_key = extract_h5_key(train_raw_path, \\\"Enter training raw h5 key: \\\")\\n tpd.set_train_raw(train_raw_path, train_raw_key)\\n\\n train_gt_path = get_existing_file(\\\"Enter training gt path: \\\", skip=True)\\n if train_gt_path is not None:\\n train_gt_key = extract_h5_key(train_gt_path, \\\"Enter training gt h5 key: \\\")\\n tpd.set_train_gt(train_gt_path, train_gt_key)\\n\\n train_pred_path = get_existing_file(\\\"Enter training pred path: \\\", skip=True)\\n if train_pred_path is not None:\\n train_pred_key = extract_h5_key(train_pred_path, \\\"Enter training pred h5 key: \\\")\\n tpd.set_train_pred(train_pred_path, train_pred_key)\\n\\n train_feat_path = get_existing_file(\\\"Enter training feature path: \\\", skip=True)\\n while train_feat_path is not None:\\n train_feat_key = extract_h5_key(train_feat_path, \\\"Enter training feature path: \\\")\\n tpd.add_train_feature(train_feat_path, train_feat_key)\\n train_feat_path = get_existing_file(\\\"Enter training feature path: \\\", skip=True)\\n\\n test_raw_path = get_existing_file(\\\"Enter test raw path: \\\", skip=True)\\n if test_raw_path is not None:\\n test_raw_key = extract_h5_key(test_raw_path, \\\"Enter test raw h5 key: \\\")\\n tpd.set_test_raw(test_raw_path, test_raw_key)\\n\\n test_gt_path = get_existing_file(\\\"Enter test gt path: \\\", skip=True)\\n if test_gt_path is not None:\\n test_gt_key = extract_h5_key(test_gt_path, \\\"Enter test gt h5 key: \\\")\\n tpd.set_test_gt(test_gt_path, test_gt_key)\\n\\n test_pred_path = get_existing_file(\\\"Enter test pred path: \\\", skip=True)\\n if test_pred_path is not None:\\n test_pred_key = extract_h5_key(test_pred_path, \\\"Enter test pred h5 key: \\\")\\n tpd.set_test_pred(test_pred_path, test_pred_key)\\n\\n test_feat_path = get_existing_file(\\\"Enter test feature path: \\\", skip=True)\\n while test_feat_path is not None:\\n test_feat_key = extract_h5_key(test_feat_path, \\\"Enter test feature path: \\\")\\n tpd.add_test_feature(test_feat_path, test_feat_key)\\n test_feat_path = get_existing_file(\\\"Enter test feature path: \\\", skip=True)\\n\\n return 0\",\n \"def begin(self):\\n\\n env = self.context.lookup(\\\"/environment\\\")\\n\\n self._test_results_dir = env[\\\"output_directory\\\"]\\n self._starttime = env[\\\"starttime\\\"]\\n self._runid = env[\\\"runid\\\"]\\n\\n self._result_filename = os.path.join(self._test_results_dir, \\\"testrun_results.jsos\\\")\\n self._summary_filename = os.path.join(self._test_results_dir, \\\"testrun_summary.json\\\")\\n self._import_errors_filename = os.path.join(self._test_results_dir, \\\"import_errors.jsos\\\")\\n\\n return\",\n \"def main():\\r\\n run_processes('tests.csv', 'labs.csv')\",\n \"def run():\\n users_dir = str(Path(CONTAINER_MEDIA_DIR, 'users'))\\n semester = get_latest_semester()\\n files = [join(users_dir, f) for f in listdir(users_dir) if isfile(join(users_dir, f))]\\n\\n users = set()\\n courses = set()\\n users_to_courses = defaultdict(list)\\n\\n for file_path in files:\\n _, extension = splitext(file_path)\\n\\n if extension == '.csv':\\n _read_csv(file_path, semester, users, courses, users_to_courses)\\n elif extension == '.xls' or extension == '.xlsx':\\n _read_excel(file_path, semester, users, courses, users_to_courses)\\n _move_to_inserted_directory(file_path)\\n _insert_data(users, courses, users_to_courses)\",\n \"def test(self, cmdline):\\n\\n if tm.UPDATE_BEFORE_TEST:\\n print \\\"Updating directory of source ...\\\"\\n mu.update_dir(tm.SOURCE_DIR)\\n\\n args = mu.get_second_arg(cmdline).strip().split()\\n if len(args) == 0:\\n print \\\"Invalid command, test [sourcename] ([maxThread] ([pageLimit]))\\\"\\n return\\n elif len(args) == 1:\\n self.sourcename, = args\\n self.max_thread = '5'\\n self.page_limit = '2'\\n elif len(args) == 2:\\n self.sourcename, self.max_thread = args\\n self.page_limit = '2'\\n elif len(args) == 3:\\n self.sourcename, self.max_thread, self.page_limit = args\\n\\n print \\\"Searching directory of %s ...\\\" % self.sourcename\\n self.sourcedir = mu.search_for_source(self.sourcename)\\n if not self.sourcedir:\\n print \\\"Directory of %s doesn't exist.\\\\n\\\" % self.sourcename\\n return\\n\\n self.sourcetype = self.get_source_type()\\n if self.sourcetype == 'blog':\\n process = BlogProcess(self.sourcename, self.sourcedir)\\n config_files = ('%s.xq' % self.sourcename, 'config.xml', 'globalConfig.xml', 'subSourceConfig.xml')\\n elif self.sourcetype == 'forum':\\n process = ForumProcess(self.sourcename, self.sourcedir, string.atoi(self.max_thread), self.page_limit)\\n config_files = ('%s-url.xq' % self.sourcename, '%s-thread.xq' % self.sourcename, 'finished.xml', 'webForumConfiguration.xml')\\n self.test_source(process, self.sourcedir, config_files)\",\n \"def do_analysis(ckpt, queries_type, entities_type, request):\\n global currently_analyzing, results, d, analysis_user\\n try:\\n print(\\\"starting analysis!\\\")\\n if entities_type == \\\"all\\\":\\n print(\\\"using all entities detected!\\\")\\n elif entities_type == \\\"uploaded\\\":\\n print(\\\"using only entities specified in csv file!\\\")\\n \\n currently_analyzing = True\\n analysis_user = request.user.username\\n results = []\\n proj_path = os.path.abspath(os.path.dirname(__file__)).split(\\\"FYP_Web_App\\\")[0]\\n ckpt = proj_path + \\\"FewRel/checkpoint/\\\" + ckpt\\n if d is None or d.ckpt_path != ckpt:\\n d = DetectionFramework(ckpt_path=ckpt)\\n if cancel_flag[0]:\\n return\\n d.clear_support_queries()\\n if len([i for i in os.listdir(\\\"temp/relation_support_datasets\\\") if 'csv' in i and request.user.username in i]) == 0:\\n raise ValueError(\\\"Please upload relation support dataset!\\\")\\n \\n d.load_support_files(\\\"temp/relation_support_datasets\\\", request.user.username)\\n if queries_type == \\\"csv_option\\\":\\n if not os.path.exists(\\\"temp/queries.csv\\\"):\\n raise ValueError(\\\"Please upload query CSV dataset!\\\")\\n d.load_queries_csv(\\\"temp/queries.csv\\\")\\n \\n elif queries_type == \\\"url_option\\\":\\n if not os.path.exists(\\\"temp/url.txt\\\"):\\n raise ValueError(\\\"Please specify news article url!\\\")\\n with open(\\\"temp/url.txt\\\") as f:\\n url = f.read()\\n d.load_url(url)\\n \\n elif queries_type == \\\"txt_option\\\":\\n d.load_text_files(os.path.abspath(\\\"temp/text_files\\\"))\\n \\n elif queries_type == \\\"ind_sentence_option\\\":\\n ind_sentence = request.POST.get('ind_sent')\\n d.load_ind_sentence(ind_sentence)\\n \\n elif queries_type == \\\"html_option\\\":\\n d.load_html_file_queries(os.path.abspath(\\\"temp/html_files\\\"))\\n \\n if entities_type == \\\"uploaded\\\":\\n d.trim_queries_based_on_entities_file(os.path.abspath(\\\"temp/entities_csv_file.csv\\\"))\\n\\n if cancel_flag[0]:\\n return\\n d.detect(rt_results=results, cancel_flag=cancel_flag)\\n if cancel_flag[0]:\\n return\\n src=None\\n if queries_type == \\\"csv_option\\\":\\n src = \\\"queries_csv\\\"\\n elif queries_type == \\\"txt_option\\\":\\n src = \\\"queries_text_file\\\"\\n elif queries_type == \\\"ind_sentence_option\\\":\\n src = \\\"ind_sentence\\\"\\n elif queries_type == \\\"url_option\\\":\\n with open(\\\"temp/url.txt\\\") as f:\\n src = f.read()\\n elif queries_type == \\\"html_option\\\":\\n src = \\\"html_files\\\"\\n \\n s = Source(source=src, user=request.user)\\n s.save()\\n for r in results:\\n er = ExtractedRelation(sentence=r['sentence'],head=r['head'],tail=r['tail'],pred_relation=r['pred_relation'],sentiment=r['sent'],conf=r['conf'],ckpt=ckpt, source=s)\\n er.save()\\n except Exception as e:\\n print(len(str(e)))\\n print(str(e))\\n errors.append(str(e))\\n tb = traceback.format_exc()\\n print(tb)\\n finally:\\n currently_analyzing = False\\n analysis_user = None\",\n \"def runTest(self):\\n # TODO: this should be split into multiple tests\\n pagename = self._tester.create_wiki_page()\\n self._tester.attach_file_to_wiki(pagename)\",\n \"def _pre_tasks(self, body, work_dir):\\n # Check for custom information\\n # Check if its bulk provisioning... os key is available in bulk mode\\n if body.get('os'):\\n _ks = map(lambda x: x.get('kickstart'), body['os'])\\n self._copy_files_to_server(body, 'kickstart', _ks, work_dir)\\n\\n _cs = map(lambda x: x.get('custom_script'), body['os'])\\n self._copy_files_to_server(body, 'custom_script', _cs, work_dir)\\n else:\\n # Check if user has custom kickstart and script\\n if body.get('kickstart'):\\n _ks = body.get('kickstart')\\n self._copy_files_to_server(body, 'kickstart', _ks, work_dir)\\n\\n if body.get('custom_script'):\\n _cs = body.get('custom_script')\\n self._copy_files_to_server(body, 'custom_script', _cs, work_dir)\\n\\n flag = True if body.get('os', None) else False\\n\\n return self._generate_xml(body, work_dir, flag)\",\n \"def setup(parser):\\n global debug\\n global config\\n global file_list\\n global job_sets\\n global from_saved_state\\n\\n args = parser.parse_args()\\n\\n if args.debug:\\n debug = True\\n print_message('Running in debug mode', 'ok')\\n\\n # read through the config file and setup the config dict\\n config = {}\\n if not args.config:\\n parser.print_help()\\n sys.exit()\\n else:\\n try:\\n confParse = ConfigParser.ConfigParser()\\n confParse.read(args.config)\\n for section in confParse.sections():\\n config[section] = {}\\n for option in confParse.options(section):\\n opt = confParse.get(section, option)\\n if not opt:\\n if 'pass' in option and not args.no_monitor:\\n opt = getpass('>> ' + option + ': ')\\n else:\\n opt = raw_input('>> ' + option + ': ')\\n if opt.startswith('[') or opt.startswith('{'):\\n opt = json.loads(opt)\\n config[section][option] = opt\\n except Exception as e:\\n msg = 'Unable to read config file, is it properly formatted json?'\\n print_message(msg)\\n print_debug(e)\\n return -1\\n\\n if args.no_ui:\\n config['global']['ui'] = False\\n else:\\n debug = False\\n config['global']['ui'] = True\\n\\n if args.dry_run:\\n config['global']['dry_run'] = True\\n else:\\n config['global']['dry_run'] = False\\n\\n if args.no_cleanup:\\n config['global']['no_cleanup'] = True\\n else:\\n config['global']['no_cleanup'] = False\\n\\n if args.no_monitor:\\n config['global']['no_monitor'] = True\\n print \\\"Turning off remote monitoring\\\"\\n else:\\n config['global']['no_monitor'] = False\\n \\n if args.size:\\n config['transfer']['size'] = args.size\\n else:\\n config['transfer']['size'] = 100\\n \\n if args.viewer:\\n print 'Turning on output_viewer mode'\\n config['global']['viewer'] = True\\n else:\\n config['global']['viewer'] = False\\n\\n # setup config for file type directories\\n for key, val in config.get('global').get('output_patterns').items():\\n new_dir = os.path.join(\\n config['global']['data_cache_path'],\\n key)\\n if not os.path.exists(new_dir):\\n os.makedirs(new_dir)\\n if val == 'mpaso.hist.am.timeSeriesStatsMonthly':\\n config['global']['mpas_dir'] = new_dir\\n elif val == 'mpascice.hist.am.timeSeriesStatsMonthly':\\n config['global']['mpas_cice_dir'] = new_dir\\n elif val == 'cam.h0':\\n config['global']['atm_dir'] = new_dir\\n elif val == 'mpaso.rst.0':\\n config['global']['mpas_rst_dir'] = new_dir\\n elif val == 'rpointer':\\n config['global']['rpt_dir'] = new_dir\\n elif val == 'mpas-o_in':\\n config['global']['mpas_o-in_dir'] = new_dir\\n elif val == 'mpas-cice_in':\\n config['global']['mpas_cice-in_dir'] = new_dir\\n elif 'stream' in val:\\n config['global']['streams_dir'] = new_dir\\n\\n if not os.path.exists(config['global']['output_path']):\\n os.makedirs(config['global']['output_path'])\\n if not os.path.exists(config['global']['data_cache_path']):\\n os.makedirs(config['global']['data_cache_path'])\\n\\n # setup run_scipts_path\\n config['global']['run_scripts_path'] = os.path.join(\\n config['global']['output_path'],\\n 'run_scripts')\\n # setup tmp_path\\n config['global']['tmp_path'] = os.path.join(\\n config['global']['output_path'],\\n 'tmp')\\n\\n # setup logging\\n if args.log:\\n log_path = args.log\\n else:\\n log_path = os.path.join(\\n config.get('global').get('output_path'),\\n 'workflow.log')\\n logging.basicConfig(\\n format='%(asctime)s:%(levelname)s: %(message)s',\\n datefmt='%m/%d/%Y %I:%M:%S %p',\\n filename=log_path,\\n filemode='w',\\n level=logging.DEBUG)\\n\\n endpoints = [config['transfer']['source_endpoint'], config['transfer']['destination_endpoint']]\\n if not setup_globus(endpoints):\\n return -1\\n print 'Globus setup complete'\\n return config\",\n \"def grade_submission(submission: str, test_case: str, equation=\\\"100*(p/t)-m-10*l\\\", hourslate=0) -> GradedSubmission:\\n\\n user_submission = Submission(submission) # this holds the path to the zip file\\n submission_testcases = TestCase(test_case)\\n user_submission.setup() # unzips submission into a folder and sets folder path\\n\\n submission_testcases.copyfiles(user_submission.submission_folder_path) # copies prof files to submission dir\\n\\n pointslist, user_feedback = grade(user_submission.submission_folder_path) # grades submission and gets point values\\n\\n if pointslist is None: # returns none if there was something wrong when grading (student side)\\n return GradedSubmission(0, user_feedback)\\n\\n pointslist.append(hourslate) # append hourslate to the grading points list\\n\\n user_submission.clean_up() # deletes copied files\\n\\n return GradedSubmission(calculate_grade(pointslist, equation), user_feedback)\",\n \"def main(_):\\n\\n if FLAGS.output_dir is not None:\\n if not tf.gfile.Exists(FLAGS.output_dir):\\n print('[INFO ]\\\\tOutput directory does not exist, creating directory: ' + os.path.abspath(FLAGS.output_dir))\\n tf.gfile.MakeDirs(FLAGS.output_dir)\\n \\n evaluate()\",\n \"def prepare_run(self, **kwargs):\\n assert self.cloud\\n LOGGER.debug('Validating run tests...')\\n for test in kwargs.get('tests', self.stests):\\n if test in self.stests:\\n self.tests.append(test)\\n else:\\n raise Exception(f\\\"Test name '{test}' is invalid\\\")\\n\\n if not os.path.exists(self.task_dir):\\n os.makedirs(self.task_dir)\\n\\n task = os.path.join(self.rally_dir, 'task.yaml')\\n if not os.path.exists(task):\\n LOGGER.error(\\\"Task file '%s' does not exist.\\\", task)\\n raise Exception(f\\\"Task file '{task}' does not exist.\\\")\\n self.task_file = os.path.join(self.task_dir, 'task.yaml')\\n shutil.copyfile(task, self.task_file)\\n\\n task_macro = os.path.join(self.rally_dir, 'macro')\\n if not os.path.exists(task_macro):\\n LOGGER.error(\\\"Task macro dir '%s' does not exist.\\\", task_macro)\\n raise Exception(f\\\"Task macro dir '{task_macro}' does not exist.\\\")\\n macro_dir = os.path.join(self.task_dir, 'macro')\\n if os.path.exists(macro_dir):\\n shutil.rmtree(macro_dir)\\n shutil.copytree(task_macro, macro_dir)\\n\\n self.update_keystone_default_role()\\n self.compute_cnt = self.count_hypervisors()\\n self.network_extensions = self.cloud.get_network_extensions()\\n self.flavor_alt = self.create_flavor_alt()\\n self.services = [service.name for service in\\n functest_utils.list_services(self.cloud)]\\n\\n LOGGER.debug(\\\"flavor: %s\\\", self.flavor_alt)\",\n \"def main(unused_argv):\\n\\n # Create tokenizer based on the training files.\\n logging.info(\\\"Step 1: Loading tokenizer\\\")\\n train_en = FLAGS.data_dir+'/EN_TRAIN_CORPUS_NAME'\\n val_en = FLAGS.data_dir+'/EN_VAL_CORPUS_NAME'\\n\\n VOCAB_FILE = \\\"VOCAB_NAME\\\" \\n vocab_file = os.path.join(FLAGS.data_dir, VOCAB_FILE)\\n subtokenizer = tokenizer.Subtokenizer.init_from_files(\\n vocab_file, [train_en], _TARGET_VOCAB_SIZE, _TARGET_THRESHOLD,\\n min_count=None if FLAGS.search else _TRAIN_DATA_MIN_COUNT)\\n\\n compiled_train_files = (train_en, train_en)\\n compiled_eval_files = (val_en, val_en)\\n\\n # Tokenize and save data as Examples in the TFRecord format.\\n logging.info(\\\"Step 3: Preprocessing and saving data\\\")\\n train_tfrecord_files = encode_and_save_files(\\n subtokenizer, FLAGS.data_dir, compiled_train_files, _TRAIN_TAG,\\n _TRAIN_SHARDS)\\n encode_and_save_files(\\n subtokenizer, FLAGS.data_dir, compiled_eval_files, _EVAL_TAG,\\n _EVAL_SHARDS)\\n\\n for fname in train_tfrecord_files:\\n shuffle_records(fname)\",\n \"def test_execute_review_6(self):\\n review.execute_review(self.alchemist, self.test_dir,\\n self.review_test_dir.name,\\n g_reports=True)\\n\\n self.assertTrue(self.review_test_dir.is_dir())\\n\\n gene_report_dir = self.review_test_dir.joinpath(\\\"GeneReports\\\")\\n self.assertTrue(gene_report_dir.is_dir())\",\n \"def test_launch(self):\\n\\n\\n username,userpass = self.testdata.find_account_for('toolsubmitter')\\n\\n self.utils.account.login_as(username,userpass)\\n\\n self.contribtool.launch(TOOLNAME,username,userpass)\",\n \"def main(workdir):\\n dir = os.path.expanduser(workdir)\\n \\n #read the .dat file\\n f = open('{}smi.dat'.format(dir))\\n par = imp.load_source('par', '', f)\\n \\n #make a sdf file for visualization\\n output = pybel.Outputfile(\\\"sdf\\\", dir + \\\"species.sdf\\\",overwrite=True)\\n for name in par.smiles:\\n smi = par.smiles[name]\\n obmol = pybel.readstring(\\\"smi\\\",smi)\\n output.write(obmol)\\n output.close()\\n \\n #list with the jobs that need to be done\\n jobs = []\\n \\n #iterate the input files\\n for name in par.smiles:\\n #name = input_file.replace('.inp','') #name of the calculation\\n test_dir = dir + name #location where the calculations will be done\\n if not os.path.exists(test_dir):\\n os.mkdir(test_dir)\\n \\n #copy the input file to the working directory\\n write_input_file(par,name,par.smiles[name],test_dir + '/input.inp')\\n job = workdir + name + '/'\\n jobs.append(job)\\n \\n run_threads(jobs, 'eric', max_running = 3)\",\n \"def main():\\n\\n parser = argparse.ArgumentParser(description='Duolingo shared task baseline model')\\n parser.add_argument('--train', help='Training file name', required=True)\\n parser.add_argument('--test', help='Test file name, to make predictions on', required=True)\\n parser.add_argument('--pred', help='Output file name for predictions, defaults to test_name.pred')\\n args = parser.parse_args()\\n\\n if not args.pred:\\n args.pred = args.test + '.pred'\\n\\n assert os.path.isfile(args.train)\\n assert os.path.isfile(args.test)\\n\\n # Assert that the train course matches the test course\\n assert os.path.basename(args.train)[:5] == os.path.basename(args.test)[:5]\\n\\n training_data, training_labels = load_data(args.train)\\n test_data = load_data(args.test)\\n\\n ####################################################################################\\n # Here is the delineation between loading the data and running the baseline model. #\\n # Replace the code between this and the next comment block with your own. #\\n ####################################################################################\\n\\n\\n vectorizer = DictVectorizer()\\n X_train = [instance_data.to_features() for instance_data in training_data]\\n Y_train = [training_labels[instance_data.instance_id] for instance_data in training_data]\\n ids_train = [instance_data.instance_id for instance_data in training_data]\\n\\n X_test = [instance_data.to_features() for instance_data in test_data]\\n ids_test = [instance_data.instance_id for instance_data in test_data]\\n\\n\\n X_train = vectorizer.fit_transform(X_train)\\n clf = LogisticRegression()\\n clf.fit(X_train,Y_train)\\n\\n X_test = vectorizer.transform(X_test)\\n preds_scores = [x[0] for x in clf.predict_proba(X_test)]\\n predictions = dict([(instance_id,pred_score) for instance_id,pred_score in zip(ids_test,preds_scores)])\\n\\n ####################################################################################\\n # This ends the baseline model code; now we just write predictions. #\\n ####################################################################################\\n\\n with open(args.pred, 'wt') as f:\\n for instance_id, prediction in iteritems(predictions):\\n f.write(instance_id + ' ' + str(prediction) + '\\\\n')\",\n \"def _prepare_test_cases(ptfhost, request):\\n logger.info(\\\"Preparing SAI test environment.\\\")\\n _create_sai_test_folders(ptfhost)\\n _copy_sai_test_cases(ptfhost, request)\",\n \"def upload_submission(request, learner, trigger, no_thumbnail=True):\\n base_dir_for_file_uploads = settings.MEDIA_ROOT\\n thumbnail_file_name_django = ''\\n entry_point = trigger.entry_point\\n\\n files = request.FILES.getlist('file_upload', None)\\n if files is None:\\n return None\\n\\n # Is the storage space reachable?\\n deepest_dir = base_dir_for_file_uploads + 'uploads/{0}/tmp/'.format(\\n entry_point.id)\\n\\n try:\\n os.makedirs(deepest_dir)\\n except OSError:\\n if not os.path.isdir(deepest_dir):\\n logger.error('Cannot create directory for upload: {0}'.format(\\n deepest_dir))\\n raise\\n\\n if len(files) == 1:\\n filename = files[0].name\\n extension = filename.split('.')[-1].lower()\\n submitted_file_name_django = 'uploads/{0}/{1}'.format(entry_point.id,\\n generate_random_token(token_length=16) + '.' + extension)\\n full_path = base_dir_for_file_uploads + submitted_file_name_django\\n with open(full_path, 'wb+') as dst:\\n for chunk in files[0].chunks():\\n dst.write(chunk)\\n\\n\\n f_size = os.path.getsize(full_path)\\n if f_size > trigger.max_file_upload_size_MB * 1024 * 1024:\\n logger.warning('File too large {0}'.format(\\n submitted_file_name_django))\\n return None, ('File too large ({0} MB); it must be less than '\\n '{1} MB.'.format(round(float(f_size/1024.0/1024.0), 1),\\n trigger.max_file_upload_size_MB))\\n\\n\\n else: #if trigger.allow_multiple_files: this is removed for now\\n filename = ''\\n extension = ''\\n submitted_file_name_django = ''\\n full_path = ''\\n\\n\\n # Check that the file format is PDF, if that is required.\\n strike1 = False\\n if 'pdf' in trigger.accepted_file_types_comma_separated.lower() and \\\\\\n extension in ('pdf',):\\n try:\\n mime = magic.from_file(full_path, mime=True)\\n if not(isinstance(mime, str)):\\n mime = mime.decode('utf-8')\\n except Exception as exp:\\n logger.error('Could not determine MIME type: ' + str(exp))\\n mime = ''\\n strike1 = True\\n\\n if 'application/pdf' not in mime.lower():\\n strike1 = True\\n\\n if strike1:\\n logger.debug('Invalid PDF upload: {0} [{1}]'.format(mime,\\n full_path))\\n #return None, 'Invalid file uploaded. Uploaded file must be a PDF.'\\n\\n doc = PdfFileReader(full_path)\\n if doc.isEncrypted:\\n logger.debug('Encrypted PDF upload: {0}'.format(full_path))\\n return None, ('An encrypted PDF cannot be uploaded. Please remove '\\n 'the encryption and try again.')\\n\\n\\n strike1 = False\\n if (('jpeg' in trigger.accepted_file_types_comma_separated.lower()) or \\\\\\n ('jpg' in trigger.accepted_file_types_comma_separated.lower())) and \\\\\\n extension in ('jpg', 'jpeg'):\\n\\n try:\\n mime = magic.from_file(full_path, mime=True)\\n if not(isinstance(mime, str)):\\n mime = mime.decode('utf-8')\\n except Exception as exp:\\n logger.error('Could not determine MIME type: ' + str(exp))\\n mime = ''\\n strike1 = True\\n\\n if 'image/jpeg' not in mime.lower():\\n strike1 = True\\n\\n if strike1:\\n logger.debug('Invalid JPG upload: {0} [{1}]'.format(mime,\\n full_path))\\n return None, ('Invalid file. Uploaded image should be a valid '\\n 'and readable JPEG file.')\\n\\n\\n strike1 = False\\n if ('png' in trigger.accepted_file_types_comma_separated.lower()) and \\\\\\n extension in ('png',):\\n\\n try:\\n mime = magic.from_file(full_path, mime=True)\\n if not(isinstance(mime, str)):\\n mime = mime.decode('utf-8')\\n except Exception as exp:\\n logger.error('Could not determine MIME type: ' + str(exp))\\n mime = ''\\n strike1 = True\\n\\n if 'image/png' not in mime.lower():\\n strike1 = True\\n\\n if strike1:\\n logger.debug('Invalid PNG upload: {0} [{1}]'.format(mime,\\n full_path))\\n return None, ('Invalid file. Uploaded image should be a valid '\\n 'and readable PNG file.')\\n\\n\\n strike2 = False\\n if extension.lower() not in \\\\\\n trigger.accepted_file_types_comma_separated.lower():\\n logger.debug('Invalid file type upload: received \\\".{0}\\\"; [{1}]'.format(\\\\\\n extension, full_path))\\n return None, ('Invalid file uploaded. Uploaded file must be: {}'.format(\\\\\\n trigger.accepted_file_types_comma_separated))\\n\\n\\n if trigger == entry_point:\\n # In some instances we don't use triggers, just entry_points\\n prior = Submission.objects.filter(status='S',\\n submitted_by=learner,\\n entry_point=entry_point,\\n is_valid=True\\n )\\n else:\\n prior_indiv = Q(status='S', submitted_by=learner, entry_point=entry_point,\\n trigger=trigger, is_valid=True)\\n\\n # We need this here, but also for the code later in the next\\n # if (trigger==entry_point) part\\n\\n # Default returned by this function is ``None`` if the user is not\\n # enrolled in a group, or if this course simply does not use groups.\\n group_submitted = is_group_submission(learner, entry_point)\\n if is_group_submission(learner, entry_point):\\n group_submitted = group_submitted.group\\n\\n prior_group = Q(status='S', group_submitted=group_submitted,\\n entry_point=entry_point, trigger=trigger,\\n is_valid=True)\\n else:\\n prior_group = Q()\\n\\n prior = Submission.objects.filter(prior_indiv | prior_group)\\n\\n\\n for item in prior:\\n logger.debug(('Setting prior submission to False: {0} and name '\\n '\\\"{1}\\\"'.format(str(item), item.submitted_file_name)))\\n item.is_valid = False\\n item.save()\\n\\n\\n if trigger == entry_point:\\n # In some instances we don't use triggers, just entry_points\\n sub = Submission(submitted_by=learner,\\n group_submitted=None,\\n status='S',\\n entry_point=entry_point,\\n is_valid=True,\\n file_upload=submitted_file_name_django,\\n thumbnail=thumbnail_file_name_django,\\n submitted_file_name=filename,\\n ip_address=get_IP_address(request),\\n )\\n sub.save()\\n else:\\n\\n sub = Submission(submitted_by=learner,\\n group_submitted=group_submitted,\\n status='S',\\n entry_point=entry_point,\\n trigger=trigger,\\n is_valid=True,\\n file_upload=submitted_file_name_django,\\n thumbnail=thumbnail_file_name_django,\\n submitted_file_name=filename,\\n ip_address=get_IP_address(request),\\n )\\n sub.save()\\n\\n if 'pdf' in trigger.accepted_file_types_comma_separated.lower() and \\\\\\n extension in ('pdf',):\\n clean_PDF(sub)\\n\\n return sub\",\n \"def execute():\\r\\n arcpy.AddMessage(\\\"START BCA Processing\\\")\\r\\n arcpy.env.workspace = config.temp_data_gdb\\r\\n arcpy.env.overwriteOutput = True\\r\\n sys.path.append(config.notif_system_script_folder)\\r\\n\\r\\n # Other Variables\\r\\n arcpy.AddMessage(\\\"Import toolbox\\\")\\r\\n arcpy.ImportToolbox(config.notif_toolbox)\\r\\n REGEX_FOR_INVALID_CHARS = re.compile(r'[^0-9a-zA-Z]+')\\r\\n todayDate = datetime.datetime.now().strftime(\\\"%Y%m%d\\\")\\r\\n logFile = file(\\r\\n config.report_processing_log + \\\"\\\\\\\\\\\" + todayDate + \\\"_NotificationSystemLog\\\" + \\\".txt\\\", \\\"a\\\")\\r\\n\\r\\n\\r\\n # get all unzipped files uploaded to shared folder\\r\\n configfiles = [os.path.join(dirpath, f)\\r\\n for dirpath, dirnames, files in os.walk(config.SharedFolder)\\r\\n for f in files if f.endswith('.csv') or f.endswith('.xls') or f.endswith('.xlsx') or f.endswith('.XLS')]\\r\\n\\r\\n correct_config_files = [f for f in configfiles if \\\"\\\\BCAWeeklyPermitReport\\\\\\\\\\\" in f]\\r\\n\\r\\n # PREPARE workspace\\r\\n arcpy.AddMessage(\\\"Preparing workspace...\\\")\\r\\n for BCAreport in correct_config_files:\\r\\n\\r\\n input_file_name = BCAreport.split(\\\"\\\\\\\\\\\")[-1]\\r\\n\\r\\n MukimConstruct = arcpy.SearchCursor(config.MukimConstructSource)\\r\\n PermitDateExists = False\\r\\n\\r\\n for row in MukimConstruct:\\r\\n aux = input_file_name[:8]\\r\\n if \\\"CORRECTED\\\" not in BCAreport.upper():\\r\\n filedate = datetime.datetime.strptime(aux, \\\"%Y%m%d\\\")\\r\\n else:\\r\\n clean_filename = input_file_name.split(\\\".\\\")[0]\\r\\n filedate = datetime.datetime.strptime(clean_filename[-8:], \\\"%Y%m%d\\\")\\r\\n if filedate == row.PERMIT_DATE and \\\"CORRECTED\\\" not in BCAreport.upper():\\r\\n PermitDateExists = True\\r\\n break\\r\\n if PermitDateExists and \\\"CORRECTED\\\" not in BCAreport.upper():\\r\\n PermitDateExistsLog = file(\\r\\n config.ErrorLogFolder + \\\"\\\\\\\\\\\" + input_file_name.split(\\\".\\\")[0] +\\r\\n \\\" file's Permit Date already exists\\\" + \\\".log\\\",\\r\\n \\\"a\\\")\\r\\n PermitDateExistsLog.write(\\r\\n \\\"Permit Date for the file \\\" + input_file_name + \\\" already exists in Mukim Construct at \\\" + str(\\r\\n datetime.datetime.now()))\\r\\n logFile.writelines(\\r\\n \\\"Permit Date for the file \\\" + input_file_name + \\\" already exists in Mukim Construct at \\\" + str(\\r\\n datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n\\r\\n else:\\r\\n\\r\\n # 00. Creation of geodatabases that will serve as workspaces\\r\\n logFile.writelines(\\\"00 Creation of temp gdb starts at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n\\r\\n if arcpy.Exists(config.TempDataGDB):\\r\\n arcpy.Delete_management(config.TempDataGDB)\\r\\n arcpy.CreateFileGDB_management(config.Notification, \\\"Temp_data.gdb\\\")\\r\\n else:\\r\\n arcpy.CreateFileGDB_management(config.Notification, \\\"Temp_data.gdb\\\")\\r\\n\\r\\n if arcpy.Exists(config.SDEDataGDB):\\r\\n arcpy.Delete_management(config.SDEDataGDB)\\r\\n arcpy.CreateFileGDB_management(config.Notification, \\\"Source.gdb\\\")\\r\\n else:\\r\\n arcpy.CreateFileGDB_management(config.Notification, \\\"Source.gdb\\\")\\r\\n\\r\\n if arcpy.Exists(config.CurrentMukimConstructDataGDB):\\r\\n arcpy.Delete_management(config.CurrentMukimConstructDataGDB)\\r\\n arcpy.CreateFileGDB_management(config.Notification, \\\"Final_data.gdb\\\")\\r\\n else:\\r\\n arcpy.CreateFileGDB_management(config.Notification, \\\"Final_data.gdb\\\")\\r\\n\\r\\n logFile.writelines(\\\"00 Creation of temp gdb ends at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n\\r\\n # 01. Import the base data\\r\\n logFile.writelines(\\\"01 Import of base data starts at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n arcpy.FeatureClassToFeatureClass_conversion(config.MukimConstructSource, config.CurrentMukimConstructDataGDB,\\r\\n \\\"MUKIM_CONSTRUCT\\\", \\\"\\\", \\\"\\\", \\\"\\\")\\r\\n arcpy.FeatureClassToFeatureClass_conversion(config.MukimConstructByProjSource, config.CurrentMukimConstructDataGDB,\\r\\n \\\"MUKIM_CONSTRUCT_BYPROJ\\\", \\\"\\\", \\\"\\\", \\\"\\\")\\r\\n arcpy.FeatureClassToFeatureClass_conversion(config.DepotSource, config.SDEDataGDB, \\\"DepotBoundary\\\", \\\"\\\", \\\"\\\", \\\"\\\")\\r\\n arcpy.FeatureClassToFeatureClass_conversion(config.CatchmentSource, config.SDEDataGDB, \\\"CatchmentBoundary\\\", \\\"\\\", \\\"\\\", \\\"\\\")\\r\\n arcpy.FeatureClassToFeatureClass_conversion(config.LandlotSource, config.TempDataGDB, \\\"Land_lot\\\", \\\"\\\", \\\"\\\", \\\"\\\")\\r\\n # Calculate the lot key without letter\\r\\n arcpy.AddField_management(config.LandLot, \\\"Lotkey_wo_letter\\\", \\\"TEXT\\\", \\\"\\\", \\\"\\\", \\\"10\\\", \\\"\\\", \\\"NULLABLE\\\", \\\"NON_REQUIRED\\\",\\r\\n \\\"\\\")\\r\\n arcpy.CalculateField_management(config.LandLot, \\\"Lotkey_wo_letter\\\", \\\"!lot_key![:10]\\\", \\\"PYTHON\\\", \\\"\\\")\\r\\n\\r\\n logFile.writelines(\\\"01 Import of base data ends at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n\\r\\n\\r\\n # START THE LOOP TO PROCESS ALL THE FILES\\r\\n clcounter = 0\\r\\n\\r\\n if len(correct_config_files) == 0:\\r\\n logFile.writelines(\\\"No BCA report to process at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n\\r\\n arcpy.AddMessage(\\\"Processing files...\\\")\\r\\n for BCAreport in configfiles:\\r\\n\\r\\n clcounter += 1\\r\\n arcpy.AddMessage(BCAreport)\\r\\n input_file_name = BCAreport.split(\\\"\\\\\\\\\\\")[-1]\\r\\n MukimConstruct = arcpy.SearchCursor(config.MukimConstructSource)\\r\\n PermitDateExists = False\\r\\n\\r\\n # CHEKC FILE DATE EXISTS\\r\\n for row in MukimConstruct:\\r\\n aux = input_file_name[:8]\\r\\n if \\\"CORRECTED\\\" not in BCAreport.upper():\\r\\n filedate = datetime.datetime.strptime(aux, \\\"%Y%m%d\\\")\\r\\n else:\\r\\n clean_filename = input_file_name.split(\\\".\\\")[0]\\r\\n filedate = datetime.datetime.strptime(clean_filename[-8:], \\\"%Y%m%d\\\")\\r\\n if filedate == row.PERMIT_DATE and \\\"CORRECTED\\\" not in input_file_name.upper():\\r\\n PermitDateExists = True\\r\\n break\\r\\n\\r\\n HEADERVALID = True\\r\\n with xlrd.open_workbook(BCAreport) as wb:\\r\\n sh = wb.sheet_by_index(0)\\r\\n for r in range(sh.nrows):\\r\\n colcount = 0\\r\\n if sh.row_values(r)[colcount] == 'Error_Message':\\r\\n HEADERVALID = True\\r\\n elif sh.row_values(r)[colcount] == 'Project Ref No' or sh.row_values(r)[colcount] == 'Project_Ref_No':\\r\\n HEADERVALID = True\\r\\n else:\\r\\n PermitDateExistsLog = file(config.ErrorLogFolder + \\\"\\\\\\\\\\\" + input_file_name.split(\\\".\\\")[\\r\\n 0] + \\\" file's header format is not acceptable for processing\\\" + \\\".log\\\", \\\"a\\\")\\r\\n PermitDateExistsLog.write(\\r\\n \\\"The header format for the file \\\" + input_file_name + \\\" is not acceptable for processing at \\\" + str(\\r\\n datetime.datetime.now()))\\r\\n logFile.writelines(\\r\\n \\\"The header format for the file \\\" + input_file_name + \\\" is not acceptable for processing at \\\" + str(\\r\\n datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n HEADERVALID = False\\r\\n break\\r\\n\\r\\n if not PermitDateExists and HEADERVALID:\\r\\n logFile.writelines(\\\"Starts processing \\\" + BCAreport + \\\" at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n\\r\\n # Status update to run/not run the SiteInspection Update\\r\\n Log_SiteInspectionUpdate = file(config.SiteInspectionUpdate, \\\"w\\\")\\r\\n Log_SiteInspectionUpdate.writelines(\\\"NO\\\")\\r\\n Log_SiteInspectionUpdate.close()\\r\\n\\r\\n # 02. Import the BCA report to a geodatabase table\\r\\n logFile.writelines(\\\"02 Import of table to gdb starts at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n\\r\\n try:\\r\\n if arcpy.Exists(config.TempDataGDB + \\\"\\\\\\\\ConvertedBCAreport_02\\\"):\\r\\n arcpy.Delete_management(config.TempDataGDB + \\\"\\\\\\\\ConvertedBCAreport_02\\\")\\r\\n arcpy.CreateTable_management(config.TempDataGDB, \\\"ConvertedBCAreport_02\\\", config.TemplateConvertedBCAreport)\\r\\n else:\\r\\n arcpy.CreateTable_management(config.TempDataGDB, \\\"ConvertedBCAreport_02\\\", config.TemplateConvertedBCAreport)\\r\\n if arcpy.Exists(BCAreport[:-5] + '_err' + '.csv'):\\r\\n # rename old error report\\r\\n os.remove(BCAreport[:-5] + '_err' + '.csv')\\r\\n else:\\r\\n result = \\\"Error file does not exist\\\"\\r\\n if BCAreport.endswith('.xls') or BCAreport.endswith('.xlsx') or BCAreport.endswith('.XLS'):\\r\\n rows_out = arcpy.InsertCursor(config.BCAReportGDBTable)\\r\\n fldlist = arcpy.ListFields(config.BCAReportGDBTable)\\r\\n fldlist.pop(0)\\r\\n with xlrd.open_workbook(BCAreport) as wb:\\r\\n sh = wb.sheet_by_index(0)\\r\\n for r in range(sh.nrows):\\r\\n colcount = 0\\r\\n if sh.row_values(r)[colcount] != 'Error_Message':\\r\\n colcount = 0\\r\\n else:\\r\\n colcount = 1\\r\\n break\\r\\n for r in range(sh.nrows):\\r\\n colcounter = colcount\\r\\n if r > 0:\\r\\n new_row_out = rows_out.newRow()\\r\\n for efld in fldlist:\\r\\n if efld.name <> 'OBJECTID' and efld.name <> 'ConcatFields':\\r\\n new_row_out.setValue(efld.name, sh.row_values(r)[colcounter])\\r\\n colcounter += 1\\r\\n\\r\\n logFile.writelines(\\\"Inserting: \\\" + str(new_row_out) + \\\"\\\\n\\\")\\r\\n rows_out.insertRow(new_row_out)\\r\\n del rows_out, new_row_out\\r\\n\\r\\n elif BCAreport.endswith('.csv'):\\r\\n\\r\\n BCAreportread = csv.DictReader(open(BCAreport, 'rb'), delimiter=',', quotechar='\\\"')\\r\\n rows_out = arcpy.InsertCursor(config.BCAReportGDBTable)\\r\\n for attribute in BCAreportread:\\r\\n new_row_out = rows_out.newRow()\\r\\n new_row_out.Project_Ref_No = attribute['Project_Ref_No']\\r\\n new_row_out.Project_Title = attribute['Project_Title']\\r\\n new_row_out.House_Blk_No = attribute['House_Blk_No']\\r\\n new_row_out.Road_Name = attribute['Road_Name']\\r\\n new_row_out.Level_No = attribute['Level_No']\\r\\n new_row_out.Unit_No = attribute['Unit_No']\\r\\n new_row_out.Building_Name = attribute['Building_Name']\\r\\n new_row_out.Postal_Code = attribute['Postal_Code']\\r\\n new_row_out.Project_Mukim_nos = attribute['Project_Mukim_nos']\\r\\n new_row_out.Project_Lot_nos = attribute['Project_Lot_nos']\\r\\n new_row_out.Permit_Type_of_Work = attribute['Permit_Type_of_Work']\\r\\n new_row_out.Type_of_Work = attribute['Type_of_Work']\\r\\n new_row_out.Owner_s_name = attribute['Owners_name']\\r\\n new_row_out.Owner_s_firm_name = attribute['Owners_firm_name']\\r\\n new_row_out.Owner_s_address = attribute['Owners_address']\\r\\n new_row_out.Owner_s_Tel_No = attribute['Owners_Tel_No']\\r\\n new_row_out.Owner_s_Email_address = attribute['Owners_Email_address']\\r\\n new_row_out.Builder_s_name = attribute['Builders_name']\\r\\n new_row_out.Builder_s_firm_name = attribute['Builders_firm_name']\\r\\n new_row_out.Builder_s_address = attribute['Builders_address']\\r\\n new_row_out.Builder_s_Tel_No = attribute['Builders_Tel_No']\\r\\n new_row_out.Builder_s_email_address = attribute['Builders_email_address']\\r\\n new_row_out.PE_s_name = attribute['PEs_name']\\r\\n new_row_out.PE_s_firm_name = attribute['PEs_firm_name']\\r\\n new_row_out.PE_s_address = attribute['PEs_address']\\r\\n new_row_out.PE_s_Tel_No = attribute['PEs_Tel_No']\\r\\n new_row_out.PE_s_Email_address = attribute['PEs_Email_address']\\r\\n new_row_out.Architect_s_name = attribute['Architects_name']\\r\\n new_row_out.Architect_s_firm_name = attribute['Architects_firm_name']\\r\\n new_row_out.Architect_s_address = attribute['Architects_address']\\r\\n new_row_out.Architect_s_Tel_No = attribute['Architects_Tel_No']\\r\\n new_row_out.Architect_s_Email_address = attribute['Architects_Email_address']\\r\\n new_row_out.Project_Cost = attribute['Project_Cost']\\r\\n new_row_out.Project_Duration = attribute['Project_Duration']\\r\\n new_row_out.Approval_Date_DD_MM_YYYY_ = attribute['Approval_Date']\\r\\n rows_out.insertRow(new_row_out)\\r\\n if new_row_out:\\r\\n del new_row_out\\r\\n if rows_out:\\r\\n del rows_out\\r\\n\\r\\n except:\\r\\n log_error(\\\"Error in 02 Import of table to gdb: \\\", logFile)\\r\\n logFile.writelines(\\\"02 Import of table to gdb ends at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n\\r\\n # 03. Remove spaces in key fields for the concatenation\\r\\n logFile.writelines(\\\"03 Removing of spaces starts at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n\\r\\n try:\\r\\n rowsSpace = arcpy.UpdateCursor(config.BCAReportGDBTable)\\r\\n\\r\\n for row in rowsSpace:\\r\\n ProjRef = row.Project_Ref_No.strip()\\r\\n ProjMukim = row.Project_Mukim_nos.strip()\\r\\n ProjLot = row.Project_Lot_nos.strip()\\r\\n BuilderN = row.Builder_s_name.strip()\\r\\n row.Project_Ref_No = ProjRef\\r\\n row.Project_Mukim_nos = ProjMukim\\r\\n row.Project_Lot_nos = ProjLot\\r\\n row.Builder_s_name = BuilderN\\r\\n rowsSpace.updateRow(row)\\r\\n if row:\\r\\n del row\\r\\n if rowsSpace:\\r\\n del rowsSpace\\r\\n except:\\r\\n log_error(\\\"Error in 03 Removing of spaces: \\\", logFile)\\r\\n logFile.writelines(\\\"03 Removing of spaces ends at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n\\r\\n # 04. Concatenate Project_Ref_No, Project_Mukim_nos, Project_Lot_nos, Builder_s_name\\r\\n logFile.writelines(\\\"04 Concatenate the three fields starts at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n\\r\\n try:\\r\\n rows = arcpy.UpdateCursor(config.BCAReportGDBTable)\\r\\n for row in rows:\\r\\n expression = str(row.Project_Ref_No) + \\\"-\\\" + str(row.Project_Mukim_nos) + \\\"-\\\" + str(\\r\\n row.Project_Lot_nos) + \\\"-\\\" + str(row.Builder_s_name)\\r\\n row.ConcatFields = expression\\r\\n rows.updateRow(row)\\r\\n if row:\\r\\n del row\\r\\n if rows:\\r\\n del rows\\r\\n\\r\\n except:\\r\\n log_error(\\\"Error in 04 Concatenate the three fields: \\\", logFile)\\r\\n logFile.writelines(\\\"04 Concatenate the three fields ends at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n\\r\\n # 05. Create temporary tables for Unique and Duplicate records\\r\\n logFile.writelines(\\\"05 Create temporary tables starts at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n\\r\\n try:\\r\\n if arcpy.Exists(config.TempDataGDB + \\\"\\\\\\\\Uniquerows\\\"):\\r\\n arcpy.Delete_management(config.TempDataGDB + \\\"\\\\\\\\Uniquerows\\\")\\r\\n arcpy.CreateTable_management(config.TempDataGDB, \\\"Uniquerows\\\", config.TemplateConcat, \\\"\\\")\\r\\n else:\\r\\n arcpy.CreateTable_management(config.TempDataGDB, \\\"Uniquerows\\\", config.TemplateConcat, \\\"\\\")\\r\\n\\r\\n if arcpy.Exists(config.TempDataGDB + \\\"\\\\\\\\Duplicaterows\\\"):\\r\\n arcpy.Delete_management(config.TempDataGDB + \\\"\\\\\\\\Duplicaterows\\\")\\r\\n arcpy.CreateTable_management(config.TempDataGDB, \\\"Duplicaterows\\\", config.TemplateConcat, \\\"\\\")\\r\\n else:\\r\\n arcpy.CreateTable_management(config.TempDataGDB, \\\"Duplicaterows\\\", config.TemplateConcat, \\\"\\\")\\r\\n except:\\r\\n log_error(\\\"Error in 05 Create temporary tables: \\\", logFile)\\r\\n logFile.writelines(\\\"05 Create temporary tables ends at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n\\r\\n # 06. Separate unique and duplicate records\\r\\n logFile.writelines(\\\"06 Separate unique and duplicate rows starts at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n\\r\\n try:\\r\\n print \\\"Start step 06\\\"\\r\\n rows_inCB02 = arcpy.UpdateCursor(config.BCAReportGDBTable)\\r\\n rows_outUnique = arcpy.InsertCursor(config.UniqueRecords)\\r\\n # print rows_outUnique\\r\\n rows_outDuplicate = arcpy.InsertCursor(config.DuplicateRecords)\\r\\n\\r\\n rows_unique = []\\r\\n rows_duplicates = []\\r\\n for row in rows_inCB02:\\r\\n if row.ConcatFields not in rows_unique:\\r\\n rows_unique = rows_unique + [row.ConcatFields]\\r\\n else:\\r\\n rows_duplicates = rows_duplicates + [row.ConcatFields]\\r\\n\\r\\n print \\\"Start step 06 1\\\"\\r\\n for item in rows_unique:\\r\\n print \\\"clcounter: \\\" + str(clcounter)\\r\\n print \\\"item: \\\" + str(item)\\r\\n newrow = rows_outUnique.newRow()\\r\\n newrow.Concat = item\\r\\n # print newrow\\r\\n rows_outUnique.insertRow(newrow)\\r\\n\\r\\n print \\\"Start step 06 2\\\"\\r\\n for item in rows_duplicates:\\r\\n print \\\"clcounter: \\\" + str(clcounter)\\r\\n print \\\"item: \\\" + str(item)\\r\\n newrow = rows_outDuplicate.newRow()\\r\\n newrow.Concat = item\\r\\n rows_outDuplicate.insertRow(newrow)\\r\\n\\r\\n print \\\"Start step 06 3\\\"\\r\\n\\r\\n if rows_inCB02:\\r\\n del rows_inCB02\\r\\n if rows_outUnique:\\r\\n del rows_outUnique\\r\\n if rows_outDuplicate:\\r\\n del rows_outDuplicate\\r\\n if row:\\r\\n del row\\r\\n except:\\r\\n log_error(\\\"Error in 06 Separate unique and duplicate rows: \\\", logFile)\\r\\n logFile.writelines(\\\"06 Separate unique and duplicate rows ends at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n\\r\\n # 07. Get the rest of the fields for Uniquerows table\\r\\n logFile.writelines(\\r\\n \\\"07 Get the rest of the fields for unique rows starts at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n arcpy.env.workspace = config.TempDataGDB\\r\\n arcpy.AddMessage(\\\"Starting toolbox JoinUniqueRestofFields\\\")\\r\\n\\r\\n try:\\r\\n arcpy.JoinUniqueRestofFields()\\r\\n except:\\r\\n log_error(\\\"Error in 07 Get the rest of the fields for unique rows: \\\", logFile)\\r\\n logFile.writelines(\\r\\n \\\"07 Get the rest of the fields for unique rows ends at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n\\r\\n # 08. Get the rest of the fields for Duplicaterows table\\r\\n logFile.writelines(\\r\\n \\\"08 Get the rest of the fields for duplicate rows starts at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n arcpy.AddMessage(\\\"START toolbox JoinDuplicateRestofFields\\\")\\r\\n try:\\r\\n arcpy.JoinDuplicateRestofFields()\\r\\n\\r\\n except:\\r\\n log_error(\\\"Error in 08 Get the rest of the fields for duplicate rows: \\\", logFile)\\r\\n\\r\\n logFile.writelines(\\r\\n \\\"08 Get the rest of the fields for duplicate rows ends at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n\\r\\n # 09. Log duplicate records\\r\\n logFile.writelines(\\\"09 Log duplicate records starts at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n arcpy.AddMessage(\\\"Logging duplicate records\\\")\\r\\n try:\\r\\n # Initialize the error log\\r\\n wbk = xlwt.Workbook()\\r\\n sheet = wbk.add_sheet('Book 1')\\r\\n row_count = 0\\r\\n col_count = 0\\r\\n header = ['Error_Message', 'Project_Ref_No', 'Project_Title', 'House_Blk_No', 'Road_Name', 'Level_No',\\r\\n 'Unit_No', 'Building_Name', 'Postal_Code', 'Project_Mukim_nos', 'Project_Lot_nos',\\r\\n 'Permit_Type_of_Work', 'Type_of_Work', 'Owners_name', 'Owners_firm_name', 'Owners_address',\\r\\n 'Owners_Tel_No', 'Owners_Email_address', 'Builders_name', 'Builders_firm_name',\\r\\n 'Builders_address', 'Builders_Tel_No', 'Builders_email_address', 'PEs_name', 'PEs_firm_name',\\r\\n 'PEs_address', 'PEs_Tel_No', 'PEs_Email_address', 'Architects_name', 'Architects_firm_name',\\r\\n 'Architects_address', 'Architects_Tel_No', 'Architects_Email_address', 'Project_Cost',\\r\\n 'Project_Duration', 'Approval_Date']\\r\\n for fieldname in header:\\r\\n sheet.write(row_count, col_count, fieldname)\\r\\n col_count += 1\\r\\n wbk.save(config.ErrorLogFolder + \\\"\\\\\\\\\\\" + input_file_name.split(\\\".\\\")[0] + \\\"_err\\\" + \\\".xls\\\")\\r\\n\\r\\n # Log duplicate records\\r\\n rows = arcpy.SearchCursor(config.DuplicateRows)\\r\\n\\r\\n row_count = 1\\r\\n col_count = 0\\r\\n row = None\\r\\n for row in rows:\\r\\n message = ['Duplicate record in the BCA report', row.Project_Ref_No, row.Project_Title,\\r\\n row.House_Blk_No, row.Road_Name, row.Level_No, row.Unit_No, row.Building_Name,\\r\\n row.Postal_Code, row.Project_Mukim_nos, row.Project_Lot_nos, row.Permit_Type_of_Work,\\r\\n row.Type_of_Work, row.Owner_s_name, row.Owner_s_firm_name, row.Owner_s_address,\\r\\n row.Owner_s_Tel_No, row.Owner_s_Email_address, row.Builder_s_name,\\r\\n row.Builder_s_firm_name, row.Builder_s_address, row.Builder_s_Tel_No,\\r\\n row.Builder_s_email_address, row.PE_s_name, row.PE_s_firm_name, row.PE_s_address,\\r\\n row.PE_s_Tel_No, row.PE_s_Email_address, row.Architect_s_name, row.Architect_s_firm_name,\\r\\n row.Architect_s_address, row.Architect_s_Tel_No, row.Architect_s_Email_address,\\r\\n row.Project_Cost, row.Project_Duration, row.Approval_Date_DD_MM_YYYY_]\\r\\n col_count = 0\\r\\n for element in message:\\r\\n sheet.write(row_count, col_count, element)\\r\\n col_count += 1\\r\\n row_count += 1\\r\\n wbk.save(config.ErrorLogFolder + \\\"\\\\\\\\\\\" + input_file_name.split(\\\".\\\")[0] + \\\"_err\\\" + \\\".xls\\\")\\r\\n if row:\\r\\n del row\\r\\n if rows:\\r\\n del rows\\r\\n except:\\r\\n log_error(\\\"Error in 09 Log duplicate records: \\\", logFile)\\r\\n\\r\\n logFile.writelines(\\\"09 Log duplicate records ends at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n\\r\\n # 10. Split rows based on Mukim numbers\\r\\n logFile.writelines(\\\"10 Splitting of rows based on mukim starts at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n\\r\\n try:\\r\\n if arcpy.Exists(config.SplittedMukimRows):\\r\\n arcpy.Delete_management(config.SplittedMukimRows)\\r\\n arcpy.CreateTable_management(config.TempDataGDB, \\\"Splitted_rows_mukim_03\\\", config.TemplateBCAReport, \\\"\\\")\\r\\n else:\\r\\n arcpy.CreateTable_management(config.TempDataGDB, \\\"Splitted_rows_mukim_03\\\", config.TemplateBCAReport, \\\"\\\")\\r\\n\\r\\n if arcpy.Exists(config.SplittedProjLotRows):\\r\\n arcpy.Delete_management(config.SplittedProjLotRows)\\r\\n arcpy.CreateTable_management(config.TempDataGDB, \\\"Splitted_rows_projlot_04\\\", config.TemplateBCAReport, \\\"\\\")\\r\\n else:\\r\\n arcpy.CreateTable_management(config.TempDataGDB, \\\"Splitted_rows_projlot_04\\\", config.TemplateBCAReport, \\\"\\\")\\r\\n\\r\\n rows_in = arcpy.SearchCursor(config.UniqueRows)\\r\\n rows_out = arcpy.InsertCursor(config.SplittedMukimRows)\\r\\n\\r\\n for row in rows_in:\\r\\n list_mukim_nos = row.Project_Mukim_nos.split(\\\",\\\")\\r\\n for proj_mukim_nos_id in list_mukim_nos:\\r\\n new_row_out = rows_out.newRow()\\r\\n new_row_out.Project_Mukim_nos = proj_mukim_nos_id\\r\\n new_row_out.PROJECTMUKIM_RAW = row.Project_Mukim_nos\\r\\n new_row_out.Project_Ref_No = row.Project_Ref_No\\r\\n new_row_out.Project_Title = row.Project_Title\\r\\n new_row_out.House_Blk_No = row.House_Blk_No\\r\\n new_row_out.Road_Name = row.Road_Name\\r\\n new_row_out.Level_No = row.Level_No\\r\\n new_row_out.Unit_No = row.Unit_No\\r\\n new_row_out.Building_Name = row.Building_Name\\r\\n new_row_out.Postal_Code = row.Postal_Code\\r\\n new_row_out.Project_Lot_nos = row.Project_Lot_nos\\r\\n new_row_out.Permit_Type_of_Work = row.Permit_Type_of_Work\\r\\n new_row_out.Type_of_Work = row.Type_of_Work\\r\\n new_row_out.Owner_s_name = row.Owner_s_name\\r\\n new_row_out.Owner_s_firm_name = row.Owner_s_firm_name\\r\\n new_row_out.Owner_s_address = row.Owner_s_address\\r\\n new_row_out.Owner_s_Tel_No = row.Owner_s_Tel_No\\r\\n new_row_out.Owner_s_Email_address = row.Owner_s_Email_address\\r\\n new_row_out.Builder_s_name = row.Builder_s_name\\r\\n new_row_out.Builder_s_firm_name = row.Builder_s_firm_name\\r\\n new_row_out.Builder_s_address = row.Builder_s_address\\r\\n new_row_out.Builder_s_Tel_No = row.Builder_s_Tel_No\\r\\n new_row_out.Builder_s_email_address = row.Builder_s_email_address\\r\\n new_row_out.PE_s_name = row.PE_s_name\\r\\n new_row_out.PE_s_firm_name = row.PE_s_firm_name\\r\\n new_row_out.PE_s_address = row.PE_s_address\\r\\n new_row_out.PE_s_Tel_No = row.PE_s_Tel_No\\r\\n new_row_out.PE_s_Email_address = row.PE_s_Email_address\\r\\n new_row_out.Architect_s_name = row.Architect_s_name\\r\\n new_row_out.Architect_s_firm_name = row.Architect_s_firm_name\\r\\n new_row_out.Architect_s_address = row.Architect_s_address\\r\\n new_row_out.Architect_s_Tel_No = row.Architect_s_Tel_No\\r\\n new_row_out.Architect_s_Email_address = row.Architect_s_Email_address\\r\\n new_row_out.Project_Cost = row.Project_Cost\\r\\n new_row_out.Project_Duration = row.Project_Duration\\r\\n new_row_out.Approval_Date_DD_MM_YYYY_ = row.Approval_Date_DD_MM_YYYY_\\r\\n rows_out.insertRow(new_row_out)\\r\\n if row:\\r\\n del row\\r\\n if new_row_out:\\r\\n del new_row_out\\r\\n if rows_in:\\r\\n del rows_in\\r\\n if rows_out:\\r\\n del rows_out\\r\\n except:\\r\\n log_error(\\\"Error in 10 Splitting of rows based on mukim: \\\", logFile)\\r\\n\\r\\n logFile.writelines(\\\"10 Splitting of rows based on mukim ends at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n\\r\\n # 11.Split rows based on Project lot numbers\\r\\n arcpy.AddMessage(\\\"Splitting rows based on project lots\\\")\\r\\n\\r\\n logFile.writelines(\\r\\n \\\"11 Splitting of rows based on project lot starts at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n\\r\\n try:\\r\\n rows_in03 = arcpy.SearchCursor(config.SplittedMukimRows)\\r\\n rows_out04 = arcpy.InsertCursor(config.SplittedProjLotRows)\\r\\n\\r\\n for row in rows_in03:\\r\\n list_proj_lot_nos = row.Project_Lot_nos.split(\\\",\\\")\\r\\n print list_proj_lot_nos\\r\\n for proj_lot_nos_id in list_proj_lot_nos:\\r\\n print proj_lot_nos_id\\r\\n new_row_out = rows_out04.newRow()\\r\\n new_row_out.Project_Lot_nos = proj_lot_nos_id\\r\\n new_row_out.PROJECTMUKIM_RAW = row.PROJECTMUKIM_RAW\\r\\n new_row_out.PROJECTLOT_RAW = row.Project_Lot_nos\\r\\n new_row_out.Project_Ref_No = row.Project_Ref_No\\r\\n new_row_out.Project_Title = row.Project_Title\\r\\n new_row_out.House_Blk_No = row.House_Blk_No\\r\\n new_row_out.Road_Name = row.Road_Name\\r\\n new_row_out.Level_No = row.Level_No\\r\\n new_row_out.Unit_No = row.Unit_No\\r\\n new_row_out.Building_Name = row.Building_Name\\r\\n new_row_out.Postal_Code = row.Postal_Code\\r\\n new_row_out.Project_Mukim_nos = row.Project_Mukim_nos\\r\\n new_row_out.Permit_Type_of_Work = row.Permit_Type_of_Work\\r\\n new_row_out.Type_of_Work = row.Type_of_Work\\r\\n new_row_out.Owner_s_name = row.Owner_s_name\\r\\n new_row_out.Owner_s_firm_name = row.Owner_s_firm_name\\r\\n new_row_out.Owner_s_address = row.Owner_s_address\\r\\n new_row_out.Owner_s_Tel_No = row.Owner_s_Tel_No\\r\\n new_row_out.Owner_s_Email_address = row.Owner_s_Email_address\\r\\n new_row_out.Builder_s_name = row.Builder_s_name\\r\\n new_row_out.Builder_s_firm_name = row.Builder_s_firm_name\\r\\n new_row_out.Builder_s_address = row.Builder_s_address\\r\\n new_row_out.Builder_s_Tel_No = row.Builder_s_Tel_No\\r\\n new_row_out.Builder_s_email_address = row.Builder_s_email_address\\r\\n new_row_out.PE_s_name = row.PE_s_name\\r\\n new_row_out.PE_s_firm_name = row.PE_s_firm_name\\r\\n new_row_out.PE_s_address = row.PE_s_address\\r\\n new_row_out.PE_s_Tel_No = row.PE_s_Tel_No\\r\\n new_row_out.PE_s_Email_address = row.PE_s_Email_address\\r\\n new_row_out.Architect_s_name = row.Architect_s_name\\r\\n new_row_out.Architect_s_firm_name = row.Architect_s_firm_name\\r\\n new_row_out.Architect_s_address = row.Architect_s_address\\r\\n new_row_out.Architect_s_Tel_No = row.Architect_s_Tel_No\\r\\n new_row_out.Architect_s_Email_address = row.Architect_s_Email_address\\r\\n new_row_out.Project_Cost = row.Project_Cost\\r\\n new_row_out.Project_Duration = row.Project_Duration\\r\\n new_row_out.Approval_Date_DD_MM_YYYY_ = row.Approval_Date_DD_MM_YYYY_\\r\\n rows_out04.insertRow(new_row_out)\\r\\n\\r\\n if row:\\r\\n del row\\r\\n if new_row_out:\\r\\n del new_row_out\\r\\n if rows_in03:\\r\\n del rows_in03\\r\\n if rows_out04:\\r\\n del rows_out04\\r\\n # print int(arcpy.GetCount_management(SplittedProjLotRows).getOutput(0))\\r\\n except:\\r\\n log_error(\\\"Error in 11 Splitting of rows based on project lot: \\\", logFile)\\r\\n logFile.writelines(\\r\\n \\\"11 Splitting of rows based on project lot ends at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n\\r\\n # 12. Remove spaces in Mukim and Project lot values\\r\\n logFile.writelines(\\r\\n \\\"12 Removing of spaces in mukim and project lot starts at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n arcpy.AddMessage(\\\"Cleaning project lots\\\")\\r\\n try:\\r\\n\\r\\n rowsSpaces = arcpy.UpdateCursor(config.SplittedProjLotRows)\\r\\n\\r\\n for row in rowsSpaces:\\r\\n lot_no_spaces = row.Project_Lot_nos.strip()\\r\\n mukim_no_spaces = row.Project_Mukim_nos.strip()\\r\\n row.Project_Lot_nos = lot_no_spaces\\r\\n row.Project_Mukim_nos = mukim_no_spaces\\r\\n rowsSpaces.updateRow(row)\\r\\n if row:\\r\\n del row\\r\\n if rowsSpaces:\\r\\n del rowsSpaces\\r\\n except:\\r\\n log_error(\\\"Error in 12 Removing of spaces in mukim and project lot: \\\", logFile)\\r\\n logFile.writelines(\\r\\n \\\"12 Removing of spaces in mukim and project lot ends at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n\\r\\n # 13. Log empty Mukimlot or date fields\\r\\n logFile.writelines(\\r\\n \\\"13 Log empty mukim and project lot nos starts at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n\\r\\n try:\\r\\n rowsEmpty = arcpy.UpdateCursor(config.SplittedProjLotRows)\\r\\n\\r\\n for row in rowsEmpty:\\r\\n message = ['Missing Project lot or Mukim numbers', row.Project_Ref_No, row.Project_Title,\\r\\n row.House_Blk_No, row.Road_Name, row.Level_No, row.Unit_No, row.Building_Name,\\r\\n row.Postal_Code, row.Project_Mukim_nos, row.Project_Lot_nos, row.Permit_Type_of_Work,\\r\\n row.Type_of_Work, row.Owner_s_name, row.Owner_s_firm_name, row.Owner_s_address,\\r\\n row.Owner_s_Tel_No, row.Owner_s_Email_address, row.Builder_s_name,\\r\\n row.Builder_s_firm_name, row.Builder_s_address, row.Builder_s_Tel_No,\\r\\n row.Builder_s_email_address, row.PE_s_name, row.PE_s_firm_name, row.PE_s_address,\\r\\n row.PE_s_Tel_No, row.PE_s_Email_address, row.Architect_s_name, row.Architect_s_firm_name,\\r\\n row.Architect_s_address, row.Architect_s_Tel_No, row.Architect_s_Email_address,\\r\\n row.Project_Cost, row.Project_Duration, row.Approval_Date_DD_MM_YYYY_]\\r\\n message2 = ['Missing Project duration or Approval date', row.Project_Ref_No, row.Project_Title,\\r\\n row.House_Blk_No, row.Road_Name, row.Level_No, row.Unit_No, row.Building_Name,\\r\\n row.Postal_Code, row.Project_Mukim_nos, row.Project_Lot_nos, row.Permit_Type_of_Work,\\r\\n row.Type_of_Work, row.Owner_s_name, row.Owner_s_firm_name, row.Owner_s_address,\\r\\n row.Owner_s_Tel_No, row.Owner_s_Email_address, row.Builder_s_name,\\r\\n row.Builder_s_firm_name, row.Builder_s_address, row.Builder_s_Tel_No,\\r\\n row.Builder_s_email_address, row.PE_s_name, row.PE_s_firm_name, row.PE_s_address,\\r\\n row.PE_s_Tel_No, row.PE_s_Email_address, row.Architect_s_name,\\r\\n row.Architect_s_firm_name, row.Architect_s_address, row.Architect_s_Tel_No,\\r\\n row.Architect_s_Email_address, row.Project_Cost, row.Project_Duration,\\r\\n row.Approval_Date_DD_MM_YYYY_]\\r\\n if row.Project_Mukim_nos is None or (len(row.Project_Mukim_nos) < 4):\\r\\n col_count = 0\\r\\n for element in message:\\r\\n sheet.write(row_count, col_count, element)\\r\\n col_count += 1\\r\\n row_count += 1\\r\\n rowsEmpty.deleteRow(row)\\r\\n elif row.Project_Lot_nos is None or (len(row.Project_Lot_nos) == 0):\\r\\n col_count = 0\\r\\n for element in message:\\r\\n sheet.write(row_count, col_count, element)\\r\\n col_count += 1\\r\\n row_count += 1\\r\\n rowsEmpty.deleteRow(row)\\r\\n if row.Project_Duration is None or (len(row.Project_Duration) < 1):\\r\\n col_count = 0\\r\\n for element in message2:\\r\\n sheet.write(row_count, col_count, element)\\r\\n col_count += 1\\r\\n row_count += 1\\r\\n rowsEmpty.deleteRow(row)\\r\\n\\r\\n elif row.Approval_Date_DD_MM_YYYY_ is None or (len(row.Approval_Date_DD_MM_YYYY_) < 1):\\r\\n col_count = 0\\r\\n for element in message2:\\r\\n sheet.write(row_count, col_count, element)\\r\\n col_count += 1\\r\\n row_count += 1\\r\\n rowsEmpty.deleteRow(row)\\r\\n wbk.save(config.ErrorLogFolder + \\\"\\\\\\\\\\\" + input_file_name.split(\\\".\\\")[0] + \\\"_err\\\" + \\\".xls\\\")\\r\\n if row:\\r\\n del row\\r\\n if rowsEmpty:\\r\\n del rowsEmpty\\r\\n except:\\r\\n log_error(\\\"Error in 13 Log for empty mukim and project lot nos: \\\", logFile)\\r\\n logFile.writelines(\\\"13 Log empty mukim and project lot nos ends at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n\\r\\n # 14. Error log for those with bad values\\r\\n arcpy.AddMessage(\\\"14 Logging bad values\\\")\\r\\n logFile.writelines(\\\"14 Log if bad values exist starts at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n try:\\r\\n rowsBadValues = arcpy.UpdateCursor(config.SplittedProjLotRows)\\r\\n\\r\\n for row in rowsBadValues:\\r\\n message = ['Mukim or Project lot numbers have bad values', row.Project_Ref_No, row.Project_Title,\\r\\n row.House_Blk_No, row.Road_Name, row.Level_No, row.Unit_No, row.Building_Name,\\r\\n row.Postal_Code, row.Project_Mukim_nos, row.Project_Lot_nos, row.Permit_Type_of_Work,\\r\\n row.Type_of_Work, row.Owner_s_name, row.Owner_s_firm_name, row.Owner_s_address,\\r\\n row.Owner_s_Tel_No, row.Owner_s_Email_address, row.Builder_s_name,\\r\\n row.Builder_s_firm_name, row.Builder_s_address, row.Builder_s_Tel_No,\\r\\n row.Builder_s_email_address, row.PE_s_name, row.PE_s_firm_name, row.PE_s_address,\\r\\n row.PE_s_Tel_No, row.PE_s_Email_address, row.Architect_s_name, row.Architect_s_firm_name,\\r\\n row.Architect_s_address, row.Architect_s_Tel_No, row.Architect_s_Email_address,\\r\\n row.Project_Cost, row.Project_Duration, row.Approval_Date_DD_MM_YYYY_]\\r\\n if len(REGEX_FOR_INVALID_CHARS.findall(row.Project_Lot_nos)) > 0:\\r\\n col_count = 0\\r\\n for element in message:\\r\\n sheet.write(row_count, col_count, element)\\r\\n col_count += 1\\r\\n row_count += 1\\r\\n rowsBadValues.deleteRow(row)\\r\\n elif len(REGEX_FOR_INVALID_CHARS.findall(row.Project_Mukim_nos)) > 0:\\r\\n col_count = 0\\r\\n for element in message:\\r\\n sheet.write(row_count, col_count, element)\\r\\n col_count += 1\\r\\n row_count += 1\\r\\n rowsBadValues.deleteRow(row)\\r\\n elif len(uptodigit(row.Project_Lot_nos)) > 0:\\r\\n col_count = 0\\r\\n for element in message:\\r\\n sheet.write(row_count, col_count, element)\\r\\n col_count += 1\\r\\n row_count += 1\\r\\n rowsBadValues.deleteRow(row)\\r\\n wbk.save(config.ErrorLogFolder + \\\"\\\\\\\\\\\" + input_file_name.split(\\\".\\\")[0] + \\\"_err\\\" + \\\".xls\\\")\\r\\n\\r\\n if row:\\r\\n del row\\r\\n if rowsBadValues:\\r\\n del rowsBadValues\\r\\n except:\\r\\n log_error(\\\"Error in 14 Log if bad values exist: \\\", logFile)\\r\\n logFile.writelines(\\\"14 Log if bad values exist ends at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n\\r\\n # 15. Add zeros for Project Lot numbers\\r\\n logFile.writelines(\\\"15 Add zeros starts at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n try:\\r\\n rowsZeros = arcpy.UpdateCursor(config.SplittedProjLotRows)\\r\\n letters = string.ascii_letters\\r\\n for row in rowsZeros:\\r\\n letter_count = len(filter(functools.partial(operator.contains, letters), row.Project_Lot_nos))\\r\\n filled_string = row.Project_Lot_nos.zfill(5 + letter_count)\\r\\n row.Project_Lot_nos = filled_string\\r\\n rowsZeros.updateRow(row)\\r\\n if row:\\r\\n del row\\r\\n if rowsZeros:\\r\\n del rowsZeros\\r\\n except:\\r\\n log_error(\\\"Error in 15 Add zeros: \\\", logFile)\\r\\n logFile.writelines(\\\"15 Add zeros ends at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n\\r\\n # 16. Add and populate fields Mukim_Lot_No, Mukimlot_wo_letter, and Permit_date\\r\\n logFile.writelines(\\\"16 Add and populate fields starts at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n try:\\r\\n rowsPop = arcpy.UpdateCursor(config.SplittedProjLotRows)\\r\\n for row in rowsPop:\\r\\n expression = str(row.Project_Mukim_nos) + \\\"-\\\" + str(row.Project_Lot_nos)\\r\\n row.Mukim_Lot_No = expression\\r\\n date = filedate.strftime(\\\"%Y%m%d\\\")\\r\\n year = int(date[:4])\\r\\n month = int(date[4:6])\\r\\n day = int(date[6:8])\\r\\n permit_date = datetime.datetime(year, month, day)\\r\\n row.Permit_date = permit_date\\r\\n rowsPop.updateRow(row)\\r\\n if row:\\r\\n del row\\r\\n if rowsPop:\\r\\n del rowsPop\\r\\n # Calculate Mukimlot_wo_letter\\r\\n arcpy.CalculateField_management(config.SplittedProjLotRows, \\\"Mukimlot_wo_letter\\\", \\\"!Mukim_Lot_No![:10]\\\",\\r\\n \\\"PYTHON_9.3\\\", \\\"\\\")\\r\\n\\r\\n except:\\r\\n log_error(\\\"Error in 16 Add and populate fields: \\\", logFile)\\r\\n logFile.writelines(\\\"16 Add and populate fields ends at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n\\r\\n # 17.Match mukim lot and land lot\\r\\n logFile.writelines(\\\"17 Match mukim lot with landlot starts at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n try:\\r\\n arcpy.MatchMukimLandLot()\\r\\n except:\\r\\n log_error(\\\"Error in 17 Match mukim lot with landlot: \\\", logFile)\\r\\n logFile.writelines(\\\"17 Match mukim lot with landlot ends at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n\\r\\n # 18.Get unmatched mukim lot with land lot\\r\\n logFile.writelines(\\\"18 Get unmatched mukim lot starts at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n arcpy.AddMessage(\\\"18 Get unmatched mukim lot\\\")\\r\\n try:\\r\\n arcpy.GetUnmatchedMukimLot()\\r\\n\\r\\n except:\\r\\n log_error(\\\"Error in 18 Get unmatched mukim lot: \\\", logFile)\\r\\n\\r\\n logFile.writelines(\\\"18 Get unmatched mukim lot ends at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n\\r\\n # 19. Log errors for unmatched mukim lots\\r\\n logFile.writelines(\\\"19 Log unmatched mukim lot starts at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n try:\\r\\n rowsUnmatched = arcpy.SearchCursor(config.UnmatchedMukimLot)\\r\\n row = None\\r\\n\\r\\n for row in rowsUnmatched:\\r\\n message = ['Unmatched mukim lot with the land lot', row.Project_Ref_No, row.Project_Title,\\r\\n row.House_Blk_No, row.Road_Name, row.Level_No, row.Unit_No, row.Building_Name,\\r\\n row.Postal_Code, row.Project_Mukim_nos, row.Project_Lot_nos, row.Permit_Type_of_Work,\\r\\n row.Type_of_Work, row.Owner_s_name, row.Owner_s_firm_name, row.Owner_s_address,\\r\\n row.Owner_s_Tel_No, row.Owner_s_Email_address, row.Builder_s_name,\\r\\n row.Builder_s_firm_name, row.Builder_s_address, row.Builder_s_Tel_No,\\r\\n row.Builder_s_email_address, row.PE_s_name, row.PE_s_firm_name, row.PE_s_address,\\r\\n row.PE_s_Tel_No, row.PE_s_Email_address, row.Architect_s_name, row.Architect_s_firm_name,\\r\\n row.Architect_s_address, row.Architect_s_Tel_No, row.Architect_s_Email_address,\\r\\n row.Project_Cost, row.Project_Duration, row.Approval_Date_DD_MM_YYYY_]\\r\\n col_count = 0\\r\\n for element in message:\\r\\n sheet.write(row_count, col_count, element)\\r\\n col_count += 1\\r\\n row_count += 1\\r\\n wbk.save(config.ErrorLogFolder + \\\"\\\\\\\\\\\" + input_file_name.split(\\\".\\\")[0] + \\\"_err\\\" + \\\".xls\\\")\\r\\n if row:\\r\\n del row\\r\\n if rowsUnmatched:\\r\\n del rowsUnmatched\\r\\n\\r\\n with xlrd.open_workbook(config.ErrorLogFolder + \\\"\\\\\\\\\\\" + input_file_name.split(\\\".\\\")[0] + \\\"_err\\\" + \\\".xls\\\") as wb:\\r\\n sh = wb.sheet_by_index(0)\\r\\n if sh.nrows == 1:\\r\\n os.remove(config.ErrorLogFolder + \\\"\\\\\\\\\\\" + input_file_name.split(\\\".\\\")[0] + \\\"_err\\\" + \\\".xls\\\")\\r\\n\\r\\n except arcpy.ExecuteError:\\r\\n log_error(\\\"Error in 19 Log unmatched mukim lot: \\\", logFile)\\r\\n logFile.writelines(\\\"19 Log unmatched mukim lot ends at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n\\r\\n # 20. Prepare the table for MukimConstruct matching (add required fields)\\r\\n logFile.writelines(\\\"20 Add fields to be used for matching starts at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n try:\\r\\n if arcpy.Exists(config.MUKIMCONSTRUCTImport):\\r\\n arcpy.Delete_management(config.MUKIMCONSTRUCTImport)\\r\\n arcpy.FeatureClassToFeatureClass_conversion(config.MukimConstructSource, config.TempDataGDB,\\r\\n \\\"MUKIM_CONSTRUCT_Import\\\")\\r\\n else:\\r\\n arcpy.FeatureClassToFeatureClass_conversion(config.MukimConstructSource, config.TempDataGDB,\\r\\n \\\"MUKIM_CONSTRUCT_Import\\\")\\r\\n\\r\\n arcpy.AddField_management(config.MatchedMukimLot, \\\"Concat_4fields\\\", \\\"Text\\\", \\\"\\\", \\\"\\\", \\\"\\\")\\r\\n arcpy.AddField_management(config.MUKIMCONSTRUCTImport, \\\"Concat_4fields\\\", \\\"Text\\\", \\\"\\\", \\\"\\\", \\\"\\\")\\r\\n arcpy.AddField_management(config.MatchedMukimLot, \\\"PROJ_DURATION_MTHS2\\\", \\\"Double\\\", \\\"\\\", \\\"\\\", \\\"\\\")\\r\\n except:\\r\\n log_error(\\\"Error in 20 Add fields to be used for matching: \\\", logFile)\\r\\n logFile.writelines(\\\"20 Add fields to be used for matching ends at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n\\r\\n # 21. Calculate Project Duration as months\\r\\n logFile.writelines(\\\"21 Calculate PROJ_DURATION as months starts at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n try:\\r\\n rowsProjDur = arcpy.UpdateCursor(config.MatchedMukimLot)\\r\\n\\r\\n for row in rowsProjDur:\\r\\n durationstr = row.PROJ_DURATION_MTHS\\r\\n if \\\"Month\\\" in row.PROJ_DURATION_MTHS:\\r\\n durationintmth = int(durationstr.split(' ')[0])\\r\\n row.PROJ_DURATION_MTHS2 = durationintmth\\r\\n elif \\\"Year\\\" in row.PROJ_DURATION_MTHS:\\r\\n durationintyr = int(durationstr.split(' ')[0]) * 12\\r\\n row.PROJ_DURATION_MTHS2 = durationintyr\\r\\n rowsProjDur.updateRow(row)\\r\\n if rowsProjDur:\\r\\n del rowsProjDur\\r\\n if row:\\r\\n del row\\r\\n\\r\\n arcpy.DeleteField_management(config.MatchedMukimLot, \\\"PROJ_DURATION_MTHS\\\")\\r\\n arcpy.AddField_management(config.MatchedMukimLot, \\\"PROJ_DURATION_MTHS\\\", \\\"Double\\\")\\r\\n arcpy.CalculateField_management(config.MatchedMukimLot, \\\"PROJ_DURATION_MTHS\\\", \\\"[PROJ_DURATION_MTHS2]\\\")\\r\\n except:\\r\\n log_error(\\\"Error in 21 Calculate PROJ_DURATION as months: \\\", logFile)\\r\\n logFile.writelines(\\\"21 Calculate PROJ_DURATION as months ends at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n\\r\\n # 22. Concatenate 4 fields to be used in checking if mukimlot already exists in MUKIMCONSTRUCT\\r\\n logFile.writelines(\\\"22 Concatenate 4 fields starts at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n try:\\r\\n rowsConcat1 = arcpy.UpdateCursor(config.MUKIMCONSTRUCTImport)\\r\\n\\r\\n for row in rowsConcat1:\\r\\n expression = str(row.PROJ_REF_NO) + \\\"-\\\" + str(row.BUILDER_NAME) + \\\"-\\\" + str(\\r\\n row.LOT_KEY) + \\\"-\\\" + str(row.PERMIT_DATE)\\r\\n row.Concat_4fields = expression\\r\\n rowsConcat1.updateRow(row)\\r\\n if row:\\r\\n del row\\r\\n if rowsConcat1:\\r\\n del rowsConcat1\\r\\n\\r\\n rowsConcat2 = arcpy.UpdateCursor(config.MatchedMukimLot)\\r\\n\\r\\n for row in rowsConcat2:\\r\\n expression = str(row.PROJ_REF_NO) + \\\"-\\\" + str(row.BUILDER_NAME) + \\\"-\\\" + str(\\r\\n row.LOT_KEY) + \\\"-\\\" + str(row.PERMIT_DATE)\\r\\n row.Concat_4fields = expression\\r\\n rowsConcat2.updateRow(row)\\r\\n if row:\\r\\n del row\\r\\n if rowsConcat2:\\r\\n del rowsConcat2\\r\\n except:\\r\\n log_error(\\\"Error in 22 Concatenate 4 fields: \\\", logFile)\\r\\n logFile.writelines(\\\"22 Concatenate 4 fields ends at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n\\r\\n # 23.Match mukim lot with mukim construct\\r\\n logFile.writelines(\\\"23 Match mukimlot with mukim construct at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n arcpy.env.workspace = config.TempDataGDB # \\\"G:\\\\\\\\Project\\\\\\\\GERIUPGRADE\\\\\\\\GPTools\\\\\\\\NotificationSysTools\\\\\\\\BCAReportProcessing\\\\\\\\Temp_data.gdb\\\"\\r\\n try:\\r\\n arcpy.MatchedMukimlotMukimConstruct()\\r\\n except:\\r\\n log_error(\\\"Error in 23 Match mukimlot with mukim construct: \\\", logFile)\\r\\n logFile.writelines(\\\"23 Match mukimlot with mukim construct ends at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n\\r\\n # 24.Copy raw values to project lot and project mukim columns and delete the 2 fields\\r\\n logFile.writelines(\\\"24 Recalculate projlot and projmukim based on original values starts at \\\" + str(\\r\\n datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n try:\\r\\n rowsRaw = arcpy.UpdateCursor(config.MatchedMukimLot)\\r\\n\\r\\n for row in rowsRaw:\\r\\n row.PROJ_MUKIM_NOS = row.PROJECTMUKIM_RAW\\r\\n row.PROJ_LOT_NOS = row.PROJECTLOT_RAW\\r\\n rowsRaw.updateRow(row)\\r\\n if row:\\r\\n del row\\r\\n if rowsRaw:\\r\\n del rowsRaw\\r\\n except:\\r\\n log_error(\\\"Error in 24 Recalculate projlot and projmukim based on original values:\\\", logFile)\\r\\n logFile.writelines(\\\"24 Recalculate projlot and projmukim based on original values ends at \\\" + str(\\r\\n datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n\\r\\n # 25. Export Cleaned BCA Permit report for CWD\\r\\n logFile.writelines(\\r\\n \\\"25 Export of Cleaned BCA Permit report starts at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n try:\\r\\n # Initialize the file\\r\\n CleanedBCAPermitReport = xlwt.Workbook()\\r\\n book = CleanedBCAPermitReport.add_sheet('Book 1')\\r\\n countrow = 0\\r\\n countcol = 0\\r\\n fields = ['Project Ref No', 'Project Title', 'House Blk No', 'Road Name', 'Level No', 'Unit No',\\r\\n 'Building Name', 'Postal Code', 'Project Mukim nos', 'Project Lot nos', 'Permit Type of Work',\\r\\n 'Type of Work', \\\"Owner's name\\\", \\\"Owner's firm name\\\", \\\"Owner's address\\\", \\\"Owner's Tel No\\\",\\r\\n \\\"Owner's Email address\\\", \\\"Builder's name\\\", \\\"Builder's firm name\\\", \\\"Builder's address\\\",\\r\\n \\\"Builder's Tel No\\\", \\\"Builder's email address\\\", \\\"PE's name\\\", \\\"PE's firm name\\\", \\\"PE's address\\\",\\r\\n \\\"PE's Tel No\\\", \\\"PE's Email address\\\", \\\"Architect's name\\\", \\\"Architect's firm name\\\",\\r\\n \\\"Architect's address\\\", \\\"Architect's Tel No\\\", \\\"Architect's Email address\\\", 'Project Cost',\\r\\n 'Project Duration', 'Approval Date(DD/MM/YYYY)']\\r\\n for fieldname in fields:\\r\\n book.write(countrow, countcol, fieldname)\\r\\n countcol += 1\\r\\n CleanedBCAPermitReport.save(config.CleanedBCAPermitFolder + \\\"\\\\\\\\\\\" + input_file_name.split(\\\".\\\")[0] + \\\".xls\\\")\\r\\n\\r\\n # Copy the data to Excel File\\r\\n data = arcpy.SearchCursor(config.MatchedMukimLot)\\r\\n\\r\\n countrow = 1\\r\\n countcol = 0\\r\\n for row in data:\\r\\n message = [row.PROJ_REF_NO, row.PROJ_TITLE, row.HOUSE_BLK_NO, row.ROAD_NAME, row.LEVEL_NO,\\r\\n row.UNIT_NO, row.BUILDING_NAME, row.POSTAL_CODE, row.PROJ_MUKIM_NOS, row.PROJ_LOT_NOS,\\r\\n row.PERMIT_WORK_TYPE, row.WORK_TYPE, row.OWNER_NAME, row.OWNER_FIRM_NAME, row.OWNER_ADDR,\\r\\n row.OWNER_TEL, row.OWNER_EMAIL, row.BUILDER_NAME, row.BUILDER_FIRM_NAME,\\r\\n row.BUILDER_ADDR, row.BUILDER_TEL, row.BUILDER_EMAIL, row.PE_NAME, row.PE_FIRM_NAME,\\r\\n row.PE_ADDR, row.PE_TEL, row.PE_EMAIL, row.ARCHITECT_NAME, row.ARCHITECT_FIRM_NAME,\\r\\n row.ARCHITECT_ADDR, row.ARCHITECT_TEL, row.ARCHITECT_EMAIL, row.PROJ_COST,\\r\\n row.PROJ_DURATION_MTHS, row.PROJ_APPROVAL_DATE]\\r\\n countcol = 0\\r\\n for element in message:\\r\\n book.write(countrow, countcol, element)\\r\\n countcol += 1\\r\\n countrow += 1\\r\\n CleanedBCAPermitReport.save(config.CleanedBCAPermitFolder + \\\"\\\\\\\\\\\" + input_file_name.split(\\\".\\\")[0] + \\\".xls\\\")\\r\\n if row:\\r\\n del row\\r\\n if data:\\r\\n del data\\r\\n except:\\r\\n log_error(\\\"Error in 25 Export of Cleaned BCA Permit Report: Error in 26 Catchment calculation: \\\", logFile)\\r\\n logFile.writelines(\\\"25 Export of Cleaned BCA Permit Report ends at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n\\r\\n # 26. Catchment calculation\\r\\n arcpy.env.workspace = config.TempDataGDB\\r\\n logFile.writelines(\\\"26 Catchment calculation starts at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n try:\\r\\n arcpy.CatchmentCalculation()\\r\\n except:\\r\\n log_error(\\\"Error in 26 Catchment calculation: \\\", logFile)\\r\\n logFile.writelines(\\\"26 Catchment calculation ends at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n\\r\\n # 27. Depot calculation\\r\\n logFile.writelines(\\\"27 Depot calculation starts at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n try:\\r\\n arcpy.DepotCalculation()\\r\\n except:\\r\\n log_error(\\\"Error in 27 Depot calculation: \\\", logFile)\\r\\n logFile.writelines(\\\"27 Depot calculation ends at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n\\r\\n # 28. Re-add date fields and populate\\r\\n logFile.writelines(\\\"28 Re-add date fields and populate starts at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n try:\\r\\n arcpy.AddField_management(config.MUKIMCONSTRUCT_Temp, \\\"PERMIT_DATE\\\", \\\"Date\\\")\\r\\n arcpy.AddField_management(config.MUKIMCONSTRUCT_Temp, \\\"PROJ_APPROVAL_DATE2\\\", \\\"Date\\\")\\r\\n arcpy.AddField_management(config.MUKIMCONSTRUCT_Temp, \\\"PROJ_END_DATE\\\", \\\"Date\\\")\\r\\n\\r\\n rows = arcpy.UpdateCursor(config.MUKIMCONSTRUCT_Temp)\\r\\n\\r\\n for row in rows:\\r\\n date = filedate.strftime(\\\"%Y%m%d\\\")\\r\\n year = int(date[:4])\\r\\n month = int(date[4:6])\\r\\n day = int(date[6:8])\\r\\n permit_date = datetime.datetime(year, month, day)\\r\\n row.PERMIT_DATE = permit_date\\r\\n row.PROJ_APPROVAL_DATE2 = datetime.datetime.strptime(row.PROJ_APPROVAL_DATE, '%d/%m/%Y')\\r\\n rows.updateRow(row)\\r\\n if row:\\r\\n del row\\r\\n if rows:\\r\\n del rows\\r\\n except:\\r\\n log_error(\\\"Error in 28 Re-add fields and populate: \\\", logFile)\\r\\n logFile.writelines(\\\"28 Re-add fields and populate ends at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n\\r\\n # 29. Calculate the end date field\\r\\n logFile.writelines(\\\"29 Calculate the end date field starts at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n try:\\r\\n\\r\\n rowsEndDate = arcpy.UpdateCursor(config.MUKIMCONSTRUCT_Temp)\\r\\n\\r\\n for row in rowsEndDate:\\r\\n sourcedate = row.PROJ_APPROVAL_DATE2\\r\\n # sourcedate = datetime.datetime.strptime(row.PROJ_APPROVAL_DATE2 , '%d/%m/%Y')\\r\\n months = int(row.PROJ_DURATION_MTHS)\\r\\n d = add_months(sourcedate, months)\\r\\n row.PROJ_END_DATE = d\\r\\n rowsEndDate.updateRow(row)\\r\\n if row:\\r\\n del row\\r\\n if rowsEndDate:\\r\\n del rowsEndDate\\r\\n except:\\r\\n log_error(\\\"Error in 29 Calculate the end date field: \\\", logFile)\\r\\n logFile.writelines(\\\"29 Calculate the end date field ends at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n\\r\\n # 30. Calculate Project Total Area\\r\\n logFile.writelines(\\\"30 Project total area calculation starts at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n try:\\r\\n arcpy.ProjectTotalArea()\\r\\n except:\\r\\n log_error(\\\"Error in 30 Project total area calculation: \\\", logFile)\\r\\n logFile.writelines(\\\"30 Project total area calculation ends at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n\\r\\n # 31. Calculate the BCA_CORRECTED_BY\\r\\n logFile.writelines(\\\"31 Calculate the BCA_CORRECTED_BY starts at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n try:\\r\\n rows_BCA_CB = arcpy.UpdateCursor(config.MUKIMCONSTRUCT_Temp)\\r\\n\\r\\n for row in rows_BCA_CB:\\r\\n if \\\"\\\\WSN\\\\\\\\\\\" in BCAreport:\\r\\n row.BCA_CORRECTED_BY = \\\"WSN\\\"\\r\\n elif \\\"\\\\WRN\\\\\\\\\\\" in BCAreport:\\r\\n row.BCA_CORRECTED_BY = \\\"WRN\\\"\\r\\n elif \\\"\\\\CWD\\\\\\\\\\\" in BCAreport:\\r\\n row.BCA_CORRECTED_BY = \\\"CWD\\\"\\r\\n rows_BCA_CB.updateRow(row)\\r\\n if row:\\r\\n del row\\r\\n if rows_BCA_CB:\\r\\n del rows_BCA_CB\\r\\n except:\\r\\n log_error(\\\"Error in 31 Calculate the BCA_CORRECTED_BY: \\\", logFile)\\r\\n\\r\\n # 32. Remove spaces in PROJ_REF_NO\\r\\n logFile.writelines(\\r\\n \\\"32 Removing of spaces in mukim and project lot starts at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n\\r\\n try:\\r\\n rowsSpaces = arcpy.UpdateCursor(config.MUKIMCONSTRUCT_Temp)\\r\\n\\r\\n for row in rowsSpaces:\\r\\n lot_no_spaces = row.PROJ_REF_NO.strip()\\r\\n row.PROJ_REF_NO = lot_no_spaces\\r\\n rowsSpaces.updateRow(row)\\r\\n if row:\\r\\n del row\\r\\n if rowsSpaces:\\r\\n del rowsSpaces\\r\\n except:\\r\\n log_error(\\\"Error in 32 Removing of spaces in mukim and project lot: \\\", logFile)\\r\\n logFile.writelines(\\r\\n \\\"32 Removing of spaces in mukim and project lot ends at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n\\r\\n # 33. Process the Mukim Construct by Project\\r\\n logFile.writelines(\\r\\n \\\"33 Process the Mukim Construct by Project starts at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n arcpy.env.overwriteOutput = True\\r\\n try:\\r\\n MUKIM_CONSTRUCT_BYPROJ_IMPORT = config.TempDataGDB + \\\"\\\\\\\\MUKIM_CONSTRUCT_BYPROJ_IMPORT\\\"\\r\\n MUKIMCONBYPROJ_SORT = config.TempDataGDB + \\\"\\\\\\\\MUKIMCONBYPROJ_SORT\\\"\\r\\n MUKIM_CONSTRUCT_BYPROJ_DISS = config.TempDataGDB + \\\"\\\\\\\\MUKIM_CONSTRUCT_BYPROJ_DISS\\\"\\r\\n MUKIM_CONSTRUCT_BYPROJ_DISS__2_ = config.TempDataGDB + \\\"\\\\\\\\MUKIM_CONSTRUCT_BYPROJ_DISS\\\"\\r\\n\\r\\n if arcpy.Exists(MUKIM_CONSTRUCT_BYPROJ_IMPORT):\\r\\n arcpy.Delete_management(MUKIM_CONSTRUCT_BYPROJ_IMPORT)\\r\\n if arcpy.Exists(MUKIMCONBYPROJ_SORT):\\r\\n arcpy.Delete_management(MUKIMCONBYPROJ_SORT)\\r\\n if arcpy.Exists(MUKIM_CONSTRUCT_BYPROJ_DISS):\\r\\n arcpy.Delete_management(MUKIM_CONSTRUCT_BYPROJ_DISS)\\r\\n\\r\\n arcpy.MUKIMCONBYPROJ()\\r\\n # arcpy.MUKIMCONSTRUCTBYPROJProcess2()\\r\\n\\r\\n arcpy.Sort_management(MUKIM_CONSTRUCT_BYPROJ_IMPORT, MUKIMCONBYPROJ_SORT, \\\"PROJ_END_DATE DESCENDING\\\",\\r\\n \\\"UR\\\")\\r\\n arcpy.Dissolve_management(MUKIMCONBYPROJ_SORT, MUKIM_CONSTRUCT_BYPROJ_DISS, \\\"PROJ_REF_NO\\\",\\r\\n \\\"LOT_KEY FIRST;PROJ_REF_NO FIRST;PROJ_TITLE FIRST;HOUSE_BLK_NO FIRST;ROAD_NAME FIRST;POSTAL_CODE FIRST;LEVEL_NO FIRST;UNIT_NO FIRST;BUILDING_NAME FIRST;PROJ_MUKIM_NOS FIRST;PROJ_LOT_NOS FIRST;PERMIT_WORK_TYPE FIRST;WORK_TYPE FIRST;OWNER_NAME FIRST;OWNER_FIRM_NAME FIRST;OWNER_ADDR FIRST;OWNER_TEL FIRST;OWNER_EMAIL FIRST;BUILDER_NAME FIRST;BUILDER_FIRM_NAME FIRST;BUILDER_ADDR FIRST;BUILDER_TEL FIRST;BUILDER_EMAIL FIRST;PE_NAME FIRST;PE_FIRM_NAME FIRST;PE_ADDR FIRST;PE_TEL FIRST;PE_EMAIL FIRST;ARCHITECT_NAME FIRST;ARCHITECT_FIRM_NAME FIRST;ARCHITECT_ADDR FIRST;ARCHITECT_TEL FIRST;ARCHITECT_EMAIL FIRST;PROJ_TOT_AREA FIRST;PROJ_PARENT_CWDCATCHMENT FIRST;PROJ_PARENT_WSNDEPOT FIRST;PROJ_PARENT_WRPCATCHMENT FIRST;BCA_CORRECTED_BY FIRST;PROJ_DURATION_MTHS FIRST;PROJ_COST FIRST\\\",\\r\\n \\\"MULTI_PART\\\", \\\"DISSOLVE_LINES\\\")\\r\\n arcpy.JoinField_management(MUKIM_CONSTRUCT_BYPROJ_DISS, \\\"FIRST_PROJ_REF_NO\\\", MUKIMCONBYPROJ_SORT,\\r\\n \\\"PROJ_REF_NO\\\", \\\"PROJ_APPROVAL_DATE;PROJ_END_DATE;PERMIT_DATE\\\")\\r\\n arcpy.CalculateField_management(MUKIM_CONSTRUCT_BYPROJ_DISS__2_, \\\"FIRST_PROJ_TOT_AREA\\\",\\r\\n \\\"[Shape_Area]/10000\\\", \\\"VB\\\", \\\"\\\")\\r\\n\\r\\n except:\\r\\n log_error(\\\"Error in 33 Process the Mukim Construct by Project: \\\", logFile)\\r\\n logFile.writelines(\\r\\n \\\"33 Process the Mukim Construct by Project ends at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n arcpy.AddMessage(\\\"33 END process MUKIM CONSTRUCT\\\")\\r\\n\\r\\n # 34. Filter on-going projects\\r\\n\\r\\n logFile.writelines(\\\"34 Filter on-going projects starts at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n try:\\r\\n # TempDataGDB = \\\"G:\\\\\\\\Project\\\\\\\\GERIUPGRADE\\\\\\\\GPTools\\\\\\\\NotificationSysTools\\\\\\\\BCAReportProcessing\\\\\\\\Temp_data.gdb\\\"\\r\\n MUKIM_CONSTRUCT_BYPROJ_DISS = config.TempDataGDB + \\\"\\\\\\\\MUKIM_CONSTRUCT_BYPROJ_DISS\\\"\\r\\n rowsIn = arcpy.UpdateCursor(MUKIM_CONSTRUCT_BYPROJ_DISS)\\r\\n\\r\\n row = None\\r\\n for row in rowsIn:\\r\\n strdays = str(row.PROJ_END_DATE.date() - datetime.date.today())\\r\\n splitDays = strdays.split()\\r\\n if splitDays[0] == '0:00:00':\\r\\n result = \\\"On-going project (but will end today)\\\"\\r\\n else:\\r\\n if int(splitDays[0]) < 0:\\r\\n rowsIn.deleteRow(row)\\r\\n else:\\r\\n result = \\\"On-going project\\\"\\r\\n if rowsIn:\\r\\n del rowsIn\\r\\n if row:\\r\\n del row\\r\\n\\r\\n except:\\r\\n log_error(\\\"Error in 34 Filter on-going projects: \\\", logFile)\\r\\n logFile.writelines(\\\"34 Filter on-going projects ends at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n\\r\\n # 35. Append the new data to MUKIM_CONSTRUCT\\r\\n logFile.writelines(\\r\\n \\\"35 Append the new data to MUKIM_CONSTRUCT starts at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n try:\\r\\n arcpy.AppendNewData()\\r\\n except:\\r\\n log_error(\\\"Error in 35 Append the new data to MUKIM_CONSTRUCT: \\\", logFile)\\r\\n logFile.writelines(\\r\\n \\\"35 Append the new data to MUKIM_CONSTRUCT ends at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n\\r\\n # Clean the memory and the schema lock\\r\\n arcpy.RefreshCatalog(config.Notification)\\r\\n arcpy.Compact_management(config.TempDataGDB)\\r\\n gc.collect()\\r\\n\\r\\n # Status update to run/not run the SiteInspection Update\\r\\n Log_SiteInspectionUpdate = file(config.SiteInspectionUpdate, \\\"w\\\")\\r\\n Log_SiteInspectionUpdate.writelines(\\\"YES\\\")\\r\\n Log_SiteInspectionUpdate.close()\\r\\n\\r\\n arcpy.AddMessage(\\\"END BCA Processing\\\")\\r\\n arcpy.AddMessage(\\\"Passing file date to other functions: \\\" + repr(filedate))\\r\\n\\r\\n # Generate Report\\r\\n import ReportGeneration_Adhoc_WithProjects as gen_report\\r\\n gen_report.run(filedate)\\r\\n #\\r\\n # # Send email to departments\\r\\n # import EmailGenerationCompletion_adhoc as send_dept_notification\\r\\n # if \\\"CORRECTED\\\" in BCAreport.upper():\\r\\n # send_dept_notification.run(filedate, corrected=True)\\r\\n # else:\\r\\n # send_dept_notification.run(filedate)\\r\\n\\r\\n # Generate advisory letters\\r\\n import LetterGeneration as letter_gen\\r\\n letter_gen.run(filedate)\\r\\n #\\r\\n # # Send letters to project team\\r\\n # import EmailGeneration as send_advisory_email\\r\\n # send_advisory_email.run(filedate)\\r\\n\\r\\n\\r\\n # 36. Move the BCAReport in the backup folder\\r\\n for BCAreport in correct_config_files:\\r\\n\\r\\n input_file_name = BCAreport.split(\\\"\\\\\\\\\\\")[-1]\\r\\n bk_file_path = os.path.join(config.BCAreportBackupFolder, input_file_name)\\r\\n\\r\\n # if the same file name exists in the backup folder, rename the new file with timestamp and move\\r\\n if os.path.exists(bk_file_path):\\r\\n\\r\\n new_filename = datetime.datetime.now().strftime(\\\"%Y%m%d-%H%M\\\") + input_file_name\\r\\n new_filepath = os.path.join(config.BCAreportBackupFolder, new_filename)\\r\\n shutil.copy(BCAreport, new_filepath)\\r\\n os.remove(BCAreport)\\r\\n\\r\\n # if the filename does not exist in the backup folder, move the file to backup\\r\\n else:\\r\\n shutil.move(BCAreport, config.BCAreportBackupFolder)\\r\\n\\r\\n logFile.writelines(\\\"Moved the BCA report to the backup folder at \\\" + str(datetime.datetime.now()) + \\\"\\\\n\\\")\\r\\n logFile.close()\",\n \"def smoke_test():\\r\\n habrauser = 'belonesox'\\r\\n user = crawl_user(habrauser)\\r\\n print user\\r\\n ut.data2pickle(user, '../data/users/' + habrauser + '.dat')\",\n \"def test_pre_hooks(self):\\n os.makedirs('/tmp/localhost/pacha_pre')\\n touch_script = open('/tmp/localhost/pacha_pre/foo.sh', 'w')\\n touch_script.write('''touch /tmp/localhost/pre_got_executed.txt''')\\n touch_script.close()\\n run = rebuild.Rebuild(hostname='localhost') \\n run.pre_hooks()\\n self.assertTrue(os.path.isfile('/tmp/localhost/pre_got_executed.txt'))\",\n \"def prepare_task(self, test_name):\\n jobs_dir = os.path.join(\\n getattr(config.CONF, 'dir_rally_data'), test_name, 'rally-jobs')\\n task_name = self.task_yaml.get(test_name).get(\\\"task\\\")\\n task = os.path.join(jobs_dir, task_name)\\n if not os.path.exists(task):\\n raise Exception(f\\\"The scenario '{task}' does not exist.\\\")\\n LOGGER.debug('Scenario fetched from : %s', task)\\n\\n if not os.path.exists(self.temp_dir):\\n os.makedirs(self.temp_dir)\\n task_file_name = os.path.join(self.temp_dir, task_name)\\n self.apply_blacklist(task, task_file_name)\\n self.run_cmd = ([\\\"rally\\\", \\\"task\\\", \\\"start\\\", \\\"--tag\\\", test_name,\\n \\\"--task\\\", task_file_name,\\n \\\"--task-args\\\", str(self.build_task_args(test_name))])\\n return True\",\n \"def main():\\n\\n args, dummy_l_log_filename_s = initialise()\\n\\n # -- Initialise\\n if not alib.init_app(args):\\n return alib.FAIL_GENERIC\\n\\n work_dir = alib.load_dir(args)\\n print('Loading files from {}'.format(work_dir['l_c_dir']))\\n work_files = alib.load_files(work_dir, args['quick_debug'])\\n\\n # work_dict = alib.load_matching_masterfile(work_files)\\n # alib.load_tags(work_dict)\\n # alib.print_filenames(work_dict)\\n\\n validate_hidden(work_files)\\n\\n alib.p_i('Done...')\",\n \"def prepare_submission(self):\\n ## class Submit2Page\\n if (self.form.has_key(\\\"pdbfile\\\") == False or \\\\\\n self.form[\\\"pdbfile\\\"].file is None or \\\\\\n self.form[\\\"pdbfile\\\"].value <= ' '):\\n jobid = self.prepare_pdbid_entry()\\n return jobid, False\\n\\n ## allocate a new JobID\\n job_id = mysql.job_new()\\n\\n ## record user's IP address\\n ip_addr = os.environ.get(\\\"REMOTE_ADDR\\\", \\\"Unknown\\\")\\n mysql.job_set_remote_addr(job_id, ip_addr)\\n\\n ## read in all of the lines in the structure file\\n infil = self.form[\\\"pdbfile\\\"].file\\n line_list = []\\n while True:\\n ln = infil.readline()\\n if not ln:\\n break\\n line_list.append(ln)\\n\\n ## proceed no further if there were not sufficient lines in uploaded\\n ## structure file\\n if len(line_list) < 10:\\n webtlsmdd.remove_job(job_id)\\n raise SubmissionException('Only Recieved %d lines of upload' % (\\n len(line_list)))\\n\\n ## basic sanity checks (for non-via-pdb.org structures)\\n run_mainchain_only = False\\n r, tmpfile = check_upload(job_id, line_list, mainchain = False)\\n if r != '':\\n ## \\\"All atoms\\\" failed the sanity check. Let's try just the\\n ## mainchain atoms.\\n r, garbage = check_upload(job_id, line_list, mainchain = True)\\n if r != '':\\n ## No good. The structure failed both sanity checks.\\n ## Can not proceed with this structure.\\n raise SubmissionException(str(r))\\n else:\\n run_mainchain_only = True\\n\\n ## TODO: Figure out how to do this without webtlsmdd, 2009-05-29\\n ## pass the PDB file to the application server\\n result = webtlsmdd.set_structure_file(job_id, xmlrpclib.Binary(\\\"\\\".join(line_list)))\\n if result != \\\"\\\":\\n raise SubmissionException(result)\\n\\n return job_id, run_mainchain_only\",\n \"def main(\\n input_dir: Path = typer.Argument(..., exists=True),\\n output_dir: Path = typer.Argument(...),\\n beth_train_tar_name: str = \\\"i2b2_Beth_Train_Release.tar.gz\\\",\\n partners_train_tar_name: str = \\\"i2b2_Partners_Train_Release.tar.gz\\\",\\n test_zip_name: str = \\\"Task_1C.zip\\\",\\n merge_docs: bool = True,\\n):\\n # Unpack compressed data files\\n msg.info(\\\"Extracting raw data.\\\")\\n beth_train_tar_path = input_dir / beth_train_tar_name\\n partners_train_tar_path = input_dir / partners_train_tar_name\\n test_zip_path = input_dir / test_zip_name\\n\\n for path in [beth_train_tar_path, partners_train_tar_path]:\\n if path.name.endswith(\\\"tar.gz\\\"):\\n msg.text(f\\\"Extracting {path}\\\")\\n tar = tarfile.open(path, \\\"r:gz\\\")\\n tar.extractall(path.parent)\\n tar.close()\\n\\n shutil.unpack_archive(test_zip_path, input_dir / test_zip_name.replace(\\\".zip\\\", \\\"\\\"))\\n\\n # preprocess data\\n msg.info(\\\"Converting to spaCy Doc objects.\\\")\\n beth_train_docs = docs_from_many_clinical_records(\\n input_dir / \\\"Beth_Train\\\", merge_docs=merge_docs\\n )\\n partners_train_docs = docs_from_many_clinical_records(\\n input_dir / \\\"Partners_Train\\\", merge_docs=merge_docs\\n )\\n train_docs = beth_train_docs + partners_train_docs\\n\\n beth_test_docs = docs_from_many_clinical_records(\\n input_dir / \\\"Task_1C/i2b2_Test/i2b2_Beth_Test\\\", merge_docs=merge_docs\\n )\\n partners_test_docs = docs_from_many_clinical_records(\\n input_dir / \\\"Task_1C/i2b2_Test/i2b2_Partners_Test\\\", merge_docs=merge_docs\\n )\\n test_docs = beth_test_docs + partners_test_docs\\n\\n random.shuffle(train_docs)\\n split_idx = int(len(train_docs) * 0.8)\\n train_docs, dev_docs = train_docs[:split_idx], train_docs[split_idx:]\\n\\n msg.good(f\\\"Num Train Docs: {len(train_docs)}\\\")\\n msg.good(f\\\"Num Dev Docs: {len(dev_docs)}\\\")\\n msg.good(f\\\"Num Test Docs: {len(test_docs)}\\\")\\n\\n with msg.loading(f\\\"Saving docs to: {output_dir}...\\\"):\\n DocBin(docs=train_docs).to_disk(output_dir / \\\"train.spacy\\\")\\n DocBin(docs=dev_docs).to_disk(output_dir / \\\"dev.spacy\\\")\\n DocBin(docs=test_docs).to_disk(output_dir / \\\"test.spacy\\\")\\n msg.good(\\\"Done.\\\")\",\n \"def __prepare_input_files_locally(self, job_wrapper):\\n prepare_input_files_cmds = getattr(job_wrapper, 'prepare_input_files_cmds', None)\\n if prepare_input_files_cmds is not None:\\n for cmd in prepare_input_files_cmds: # run the commands to stage the input files\\n if 0 != os.system(cmd):\\n raise Exception('Error running file staging command: %s' % cmd)\\n job_wrapper.prepare_input_files_cmds = None # prevent them from being used in-line\",\n \"def test_1_template_1_default_run_template(self):\\n\\n homedir,es = self.reg_ws.execute('echo ${HOME}')\\n\\n invoke_script = \\\"\\\"\\\"#!/bin/sh\\n %(invoke_app_path)s -C \\\"%(test_program)s @@file(datafile1)\\\" -C %(test_program)s\\n \\\"\\\"\\\" % {'invoke_app_path' : INVOKE_APP_PATH,\\n 'test_program' : TEST_PROGRAM_NAME}\\n\\n params_info = {\\n 'datafile1' : {\\n 'text' : 'this is datafile1',\\n 'type' : 'file(datafile1)',\\n 'path' : \\\"%s/datafile1\\\" % (homedir),\\n },\\n }\\n\\n expected_parameters = params_info['datafile1']['path']\\n\\n sessnum,parameters_text = pass_parameters(self.apps_ws, self.reg_ws,\\n invoke_script, params_info,\\n self.https_authority, self.reguser,\\n self.regpass, self.browser,\\n self.catalog, self.utils)\\n\\n self.close_sessions.append(sessnum)\\n\\n # log into the tool session container to get the list of parameters\\n # passed into the test program. we check that the paramaters were\\n # all found in our original parameters file we generated earlier.\\n\\n ws = self.session.access(session_number=sessnum)\\n ws.execute('echo $SESSION')\\n\\n ws_params_text = retrieve_container_parameters(ws)\\n ws_params_out = retrieve_program_output(ws,TEST_PROGRAM_PARAMS_FNAME)\\n\\n ws.close()\\n\\n # check that the TOOL_PARAMETERS file has the same info\\n # as out parameters_text variable it was created from\\n assert parameters_text == ws_params_text, \\\\\\n \\\"TOOL_PARAMETERS file in container does not match data\\\" \\\\\\n + \\\" sent through url.\\\\nexpected:\\\\n%s\\\\nreceived:\\\\n%s\\\\n\\\" \\\\\\n % (repr(parameters_text),repr(ws_params_text))\\n\\n # check that toolparams started the correct tool based on\\n # parameters passed into the container.\\n assert expected_parameters == ws_params_out, \\\\\\n \\\"expected parameters: %s\\\\nreceived parameters: %s\\\" \\\\\\n % (repr(expected_parameters),repr(ws_params_out))\",\n \"def main():\\n\\t# import training data\\n\\tfiles = [INPATH + f for f in os.listdir(INPATH) if \\\".json\\\" in f]\\n\\n\\t# import books\\n\\tprint(\\\"Loading training data...\\\")\\n\\tbookList = loadBooks(files)\\n\\tprint(\\\"Load complete.\\\")\\n\\n\\t# loop through element types and store data structure\\n\\tfor key, value in ELEMENTS.items():\\n\\t\\tprint(\\\"Generating: %s\\\" % key)\\n\\n\\t\\t# set file outpath\\n\\t\\toutfile = \\\"%s.json\\\" % key\\n\\t\\toutpath = OUTPATH % outfile\\n\\n\\t\\tgenerateTrain(bookList, key, value, outpath)\",\n \"def main(input_filepath, model_type, model_path):\\n with open(\\\"src/config.yml\\\", 'r') as ymlfile:\\n cfg = yaml.load(ymlfile, Loader=yaml.FullLoader)\\n\\n with timer(\\\"Loading testing data\\\"):\\n test_df = pd.read_pickle(input_filepath + \\\"/test_data.pkl\\\")\\n\\n row_ids = test_df[\\\"row_id\\\"]\\n del test_df[\\\"row_id\\\"]\\n\\n if model_type == \\\"xgb\\\":\\n predictions = predict_with_xgb(test_df, model_path)\\n\\n elif model_type == \\\"lgbm\\\":\\n predictions = predict_with_lgbm(test_df, row_ids, model_path)\\n\\n elif model_type == \\\"ctb\\\":\\n predictions = predict_with_ctb(test_df, row_ids, model_path)\\n\\n elif model_type == \\\"lgbm_meter\\\":\\n predictions = predict_with_lgbm_meter(test_df, row_ids, model_path)\\n\\n elif model_type == \\\"lgbm_building\\\":\\n predictions = predict_with_lgbm_building(test_df, row_ids, model_path)\\n\\n else:\\n raise ValueError(model_type + \\\" is not a valid model type to predict from\\\")\\n\\n with timer(\\\"Creating submission file\\\"):\\n create_submission_file(row_ids, predictions, cfg[\\\"use_leaks\\\"])\",\n \"def checkFiles(self):\\n if self.user[\\\"Save\\\"] != \\\"\\\":\\n self.of_exist = os.path.exists(os.path.join(self.user[\\\"Save\\\"], \\\"Of\\\"))\\n self.back_of_exist = os.path.exists(\\n os.path.join(self.user[\\\"Save\\\"], \\\"Back_Of\\\")\\n )\\n self.img_exist = os.path.exists(os.path.join(self.user[\\\"Save\\\"], \\\"Images\\\"))\\n self.depth_exist = os.path.exists(os.path.join(self.user[\\\"Save\\\"], \\\"Depth\\\"))\\n\\n self.object_detection_dir_exist = os.path.exists(\\n os.path.join(self.user[\\\"Save\\\"], \\\"ObjectDetection\\\")\\n )\\n\\n self.gt_exist = self.user[\\\"GT\\\"] != \\\"\\\"\\n\\n self.create_super_pixel_label = (\\n self.super_pixel_method != \\\"\\\"\\n and not os.path.exists(\\n os.path.join(self.savePathJoin(\\\"Super_Pixel\\\"), self.super_pixel_method)\\n )\\n )\\n\\n self.ui.c_crash_plot_video.setEnabled(self.ui.c_crash_plot.isChecked())\\n self.ui.t_low.setEnabled(not self.ui.c_optimize.isChecked())\\n self.ui.t_high.setEnabled(not self.ui.c_optimize.isChecked())\\n self.ui.c_optimize.setEnabled(self.gt_exist)\\n self.ui.c_error_plot.setEnabled(self.gt_exist)\\n self.ui.c_error_plot_video.setEnabled(self.ui.c_error_plot.isChecked())\\n self.ui.c_speed_plot_video.setEnabled(self.ui.c_speed_plot.isChecked())\\n self.ui.c_super_pixel_video.setEnabled(\\n self.ui.combo_superpixel.currentIndex() != 0\\n )\\n self.ui.c_csv.setEnabled(self.ui.c_error_plot.isChecked())\\n\\n if self.runRequirements():\\n self.ui.b_run.setEnabled(True)\\n else:\\n self.ui.b_run.setEnabled(False)\",\n \"def testA_StraightThrough(self):\\n # Do pre-submit job check\\n nRunning = getCondorRunningJobs()\\n self.assertEqual(nRunning, 0, \\\"User currently has %i running jobs. Test will not continue\\\" % (nRunning))\\n\\n myThread = threading.currentThread()\\n workload = self.createTestWorkload()\\n config = self.getConfig()\\n\\n\\n name = 'WMAgent_Test1'\\n site = self.sites[0]\\n nSubs = 5\\n nFiles = 10\\n workloadPath = os.path.join(self.testDir, 'workloadTest',\\n 'TestWorkload', 'WMSandbox',\\n 'WMWorkload.pkl')\\n\\n # Create a collection of files\\n self.createFileCollection(name = name, nSubs = nSubs,\\n nFiles = nFiles,\\n workflowURL = workloadPath,\\n site = site)\\n\\n\\n\\n ############################################################\\n # Test the JobCreator\\n\\n\\n config.Agent.componentName = 'JobCreator'\\n testJobCreator = JobCreatorPoller(config = config)\\n\\n testJobCreator.algorithm()\\n time.sleep(5)\\n\\n\\n # Did all jobs get created?\\n getJobsAction = self.daoFactory(classname = \\\"Jobs.GetAllJobs\\\")\\n result = getJobsAction.execute(state = 'Created', jobType = \\\"Processing\\\")\\n self.assertEqual(len(result), nSubs*nFiles)\\n\\n\\n # Count database objects\\n result = myThread.dbi.processData('SELECT * FROM wmbs_sub_files_acquired')[0].fetchall()\\n self.assertEqual(len(result), nSubs * nFiles)\\n\\n\\n # Find the test directory\\n testDirectory = os.path.join(self.testDir, 'TestWorkload', 'ReReco')\\n self.assertTrue('JobCollection_1_0' in os.listdir(testDirectory))\\n self.assertTrue(len(os.listdir(testDirectory)) <= 20)\\n\\n groupDirectory = os.path.join(testDirectory, 'JobCollection_1_0')\\n\\n # First job should be in here\\n self.assertTrue('job_1' in os.listdir(groupDirectory))\\n jobFile = os.path.join(groupDirectory, 'job_1', 'job.pkl')\\n self.assertTrue(os.path.isfile(jobFile))\\n with open(jobFile, 'rb') as f:\\n job = pickle.load(f)\\n\\n\\n self.assertEqual(job['workflow'], name)\\n self.assertEqual(len(job['input_files']), 1)\\n self.assertEqual(os.path.basename(job['sandbox']), 'TestWorkload-Sandbox.tar.bz2')\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n ###############################################################\\n # Now test the JobSubmitter\\n\\n config.Agent.componentName = 'JobSubmitter'\\n testJobSubmitter = JobSubmitterPoller(config = config)\\n\\n\\n testJobSubmitter.algorithm()\\n\\n\\n # Check that jobs are in the right state\\n result = getJobsAction.execute(state = 'Created', jobType = \\\"Processing\\\")\\n self.assertEqual(len(result), 0)\\n result = getJobsAction.execute(state = 'Executing', jobType = \\\"Processing\\\")\\n self.assertEqual(len(result), nSubs * nFiles)\\n\\n\\n\\n # Check assigned locations\\n getLocationAction = self.daoFactory(classname = \\\"Jobs.GetLocation\\\")\\n for id in result:\\n loc = getLocationAction.execute(jobid = id)\\n self.assertEqual(loc, [[site]])\\n\\n\\n # Check to make sure we have running jobs\\n nRunning = getCondorRunningJobs()\\n self.assertEqual(nRunning, nFiles * nSubs)\\n\\n\\n #################################################################\\n # Now the JobTracker\\n\\n\\n config.Agent.componentName = 'JobTracker'\\n testJobTracker = JobTrackerPoller(config = config)\\n testJobTracker.setup()\\n\\n testJobTracker.algorithm()\\n\\n # Running the algo without removing the jobs should do nothing\\n result = getJobsAction.execute(state = 'Executing', jobType = \\\"Processing\\\")\\n self.assertEqual(len(result), nSubs * nFiles)\\n\\n\\n condorRM()\\n time.sleep(1)\\n\\n # All jobs gone?\\n nRunning = getCondorRunningJobs()\\n self.assertEqual(nRunning, 0)\\n\\n\\n testJobTracker.algorithm()\\n time.sleep(5)\\n\\n # Running the algo without removing the jobs should do nothing\\n result = getJobsAction.execute(state = 'Executing', jobType = \\\"Processing\\\")\\n self.assertEqual(len(result), 0)\\n result = getJobsAction.execute(state = 'Complete', jobType = \\\"Processing\\\")\\n self.assertEqual(len(result), nSubs * nFiles)\\n\\n\\n\\n\\n #################################################################\\n # Now the JobAccountant\\n\\n # First you need to load all jobs\\n\\n\\n self.getFWJRAction = self.daoFactory(classname = \\\"Jobs.GetFWJRByState\\\")\\n completeJobs = self.getFWJRAction.execute(state = \\\"complete\\\")\\n\\n\\n # Create reports for all jobs\\n self.createReports(jobs = completeJobs, retryCount = 0)\\n\\n\\n\\n\\n\\n\\n config.Agent.componentName = 'JobAccountant'\\n testJobAccountant = JobAccountantPoller(config = config)\\n testJobAccountant.setup()\\n\\n\\n # It should do something with the jobs\\n testJobAccountant.algorithm()\\n\\n\\n # All the jobs should be done now\\n result = getJobsAction.execute(state = 'Complete', jobType = \\\"Processing\\\")\\n self.assertEqual(len(result), 0)\\n result = getJobsAction.execute(state = 'Success', jobType = \\\"Processing\\\")\\n self.assertEqual(len(result), nSubs * nFiles)\\n\\n\\n\\n #######################################################################\\n # Now the JobArchiver\\n\\n\\n config.Agent.componentName = 'JobArchiver'\\n testJobArchiver = JobArchiverPoller(config = config)\\n\\n\\n testJobArchiver.algorithm()\\n\\n # All the jobs should be cleaned up\\n result = getJobsAction.execute(state = 'Success', jobType = \\\"Processing\\\")\\n self.assertEqual(len(result), 0)\\n result = getJobsAction.execute(state = 'Cleanout', jobType = \\\"Processing\\\")\\n self.assertEqual(len(result), nSubs * nFiles)\\n\\n\\n logDir = os.path.join(self.testDir, 'logs')\\n\\n for job in completeJobs:\\n self.assertFalse(os.path.exists(job['fwjr_path']))\\n jobFolder = 'JobCluster_%i' \\\\\\n % (int(job['id']/config.JobArchiver.numberOfJobsToCluster))\\n jobPath = os.path.join(logDir, jobFolder, 'Job_%i.tar' %(job['id']))\\n self.assertTrue(os.path.isfile(jobPath))\\n self.assertTrue(os.path.getsize(jobPath) > 0)\\n\\n\\n\\n\\n ###########################################################################\\n # Now the TaskAchiver\\n\\n\\n config.Agent.componentName = 'TaskArchiver'\\n testTaskArchiver = TaskArchiverPoller(config = config)\\n\\n\\n testTaskArchiver.algorithm()\\n\\n\\n result = getJobsAction.execute(state = 'Cleanout', jobType = \\\"Processing\\\")\\n self.assertEqual(len(result), 0)\\n\\n\\n for jdict in completeJobs:\\n job = Job(id = jdict['id'])\\n self.assertFalse(job.exists())\\n\\n\\n\\n\\n\\n if os.path.isdir('testDir'):\\n shutil.rmtree('testDir')\\n shutil.copytree('%s' %self.testDir, os.path.join(os.getcwd(), 'testDir'))\\n\\n\\n\\n\\n return\",\n \"def test_force(self, db, course_dir):\\n run_nbgrader([\\\"db\\\", \\\"assignment\\\", \\\"add\\\", \\\"ps1\\\", \\\"--db\\\", db])\\n run_nbgrader([\\\"db\\\", \\\"student\\\", \\\"add\\\", \\\"foo\\\", \\\"--db\\\", db])\\n\\n self._copy_file(join(\\\"files\\\", \\\"submitted-unchanged.ipynb\\\"), join(course_dir, \\\"source\\\", \\\"ps1\\\", \\\"p1.ipynb\\\"))\\n self._make_file(join(course_dir, \\\"source\\\", \\\"ps1\\\", \\\"foo.txt\\\"), \\\"foo\\\")\\n self._make_file(join(course_dir, \\\"source\\\", \\\"ps1\\\", \\\"data\\\", \\\"bar.txt\\\"), \\\"bar\\\")\\n run_nbgrader([\\\"generate_assignment\\\", \\\"ps1\\\", \\\"--db\\\", db])\\n\\n self._copy_file(join(\\\"files\\\", \\\"submitted-unchanged.ipynb\\\"), join(course_dir, \\\"submitted\\\", \\\"foo\\\", \\\"ps1\\\", \\\"p1.ipynb\\\"))\\n self._make_file(join(course_dir, \\\"submitted\\\", \\\"foo\\\", \\\"ps1\\\", \\\"foo.txt\\\"), \\\"foo\\\")\\n self._make_file(join(course_dir, \\\"submitted\\\", \\\"foo\\\", \\\"ps1\\\", \\\"data\\\", \\\"bar.txt\\\"), \\\"bar\\\")\\n run_nbgrader([\\\"autograde\\\", \\\"ps1\\\", \\\"--db\\\", db])\\n\\n self._make_file(join(course_dir, \\\"autograded\\\", \\\"foo\\\", \\\"ps1\\\", \\\"blah.pyc\\\"), \\\"asdf\\\")\\n run_nbgrader([\\\"generate_feedback\\\", \\\"ps1\\\", \\\"--db\\\", db])\\n\\n assert isfile(join(course_dir, \\\"feedback\\\", \\\"foo\\\", \\\"ps1\\\", \\\"p1.html\\\"))\\n assert isfile(join(course_dir, \\\"feedback\\\", \\\"foo\\\", \\\"ps1\\\", \\\"foo.txt\\\"))\\n assert isfile(join(course_dir, \\\"feedback\\\", \\\"foo\\\", \\\"ps1\\\", \\\"data\\\", \\\"bar.txt\\\"))\\n assert not isfile(join(course_dir, \\\"feedback\\\", \\\"foo\\\", \\\"ps1\\\", \\\"blah.pyc\\\"))\\n\\n # check that it skips the existing directory\\n remove(join(course_dir, \\\"feedback\\\", \\\"foo\\\", \\\"ps1\\\", \\\"foo.txt\\\"))\\n run_nbgrader([\\\"generate_feedback\\\", \\\"ps1\\\", \\\"--db\\\", db])\\n assert not isfile(join(course_dir, \\\"feedback\\\", \\\"foo\\\", \\\"ps1\\\", \\\"foo.txt\\\"))\\n\\n # force overwrite the supplemental files\\n run_nbgrader([\\\"generate_feedback\\\", \\\"ps1\\\", \\\"--db\\\", db, \\\"--force\\\"])\\n assert isfile(join(course_dir, \\\"feedback\\\", \\\"foo\\\", \\\"ps1\\\", \\\"foo.txt\\\"))\\n\\n # force overwrite\\n remove(join(course_dir, \\\"autograded\\\", \\\"foo\\\", \\\"ps1\\\", \\\"foo.txt\\\"))\\n run_nbgrader([\\\"generate_feedback\\\", \\\"ps1\\\", \\\"--db\\\", db, \\\"--force\\\"])\\n assert isfile(join(course_dir, \\\"feedback\\\", \\\"foo\\\", \\\"ps1\\\", \\\"p1.html\\\"))\\n assert not isfile(join(course_dir, \\\"feedback\\\", \\\"foo\\\", \\\"ps1\\\", \\\"foo.txt\\\"))\\n assert isfile(join(course_dir, \\\"feedback\\\", \\\"foo\\\", \\\"ps1\\\", \\\"data\\\", \\\"bar.txt\\\"))\\n assert not isfile(join(course_dir, \\\"feedback\\\", \\\"foo\\\", \\\"ps1\\\", \\\"blah.pyc\\\"))\",\n \"def test_import_process(self):\\r\\n good_file = self._get_file()\\r\\n imp = Importer(good_file, username=u\\\"admin\\\")\\r\\n imp.process()\\r\\n\\r\\n # now let's do some db sanity checks\\r\\n self._firefox_data_test()\",\n \"def process(self):\\n\\n self.copy_supported_files()\\n tex = self.replace_includes(file_name=self.source_tex_file)\\n\\n try:\\n tex = self.replace_bibliography(tex)\\n except Exception, ex:\\n print '[e] exception {}'.format(str(ex))\\n print '[i] bibliography was not replaced - run firstly \\\"build-latex-win\\\\\\\\_build.bat\\\" for bbl file'\\n\\n self.dir_helper.save_file(file_name=self.dest_tex_file, text=tex)\\n self.create_bat_file()\\n\\n print '\\\\n[i] publication is ready - IN CASE NO ERROR ACCURED'\\n print '[i] check foloder: \\\"{}\\\"\\\\n'.format(self.temp_dir)\",\n \"def main():\\n parser = argparse.ArgumentParser()\\n parser.add_argument(\\\"-w\\\", \\\"--workflow_path\\\", help='Path to workflow file')\\n parser.add_argument(\\\"-g\\\", \\\"--galaxy\\\",\\n dest=\\\"galaxy_url\\\",\\n help=\\\"Target Galaxy instance URL/IP address (required \\\"\\n \\\"if not defined in the tools list file)\\\",)\\n parser.add_argument(\\\"-a\\\", \\\"--apikey\\\",\\n dest=\\\"api_key\\\",\\n help=\\\"Galaxy admin user API key (required if not \\\"\\n \\\"defined in the tools list file)\\\",)\\n args = parser.parse_args()\\n\\n gi = galaxy.GalaxyInstance(url=args.galaxy_url, key=args.api_key)\\n\\n with open(args.workflow_path, 'r') as wf_file:\\n import_uuid = json.load(wf_file).get('uuid')\\n existing_uuids = [d.get('latest_workflow_uuid') for d in gi.workflows.get_workflows()]\\n if import_uuid not in existing_uuids:\\n gi.workflows.import_workflow_from_local_path(args.workflow_path)\",\n \"def main():\\n parser = optparse.OptionParser()\\n\\n parser.add_option(\\n '-d',\\n '--delete',\\n action ='store_true',\\n default = False,\\n help = 'Delete each input file after successfully queing it' )\\n\\n parser.add_option(\\n '-u',\\n '--user',\\n help = 'The username, email, or openid of the owner' )\\n\\n options, file_name_list = parser.parse_args()\\n\\n if not options.user:\\n parser.error('User is required')\\n\\n if len(file_name_list) == 0:\\n parser.error('No files specified')\\n\\n try:\\n user = models.User.objects.get( email = options.user )\\n except models.User.DoesNotExist:\\n user = models.User.objects.get( username = options.user )\\n\\n processor = operations.initialize_processor(\\n MODULE_NAME,\\n DEFAULT_INPUTS,\\n DEFAULT_OUTPUTS,\\n DEFAULT_ACCEPTED_MIME_TYPES ) [0]\\n\\n # pylint: disable-msg=W0702\\n # -> no exception type given\\n for file_name in file_name_list:\\n try:\\n upload_file(processor, user, file_name)\\n except:\\n logging.exception('Failed to process %s' % file_name )\\n else:\\n if options.delete:\\n os.remove(file_name)\\n # pylint: enable-msg=W0702\",\n \"def test_1_template_0_default_run_template_1(self):\\n\\n homedir,es = self.reg_ws.execute('echo ${HOME}')\\n\\n invoke_script = \\\"\\\"\\\"#!/bin/sh\\n %(invoke_app_path)s -C \\\"%(test_program)s @@file(datafile1)\\\"\\n \\\"\\\"\\\" % {'invoke_app_path' : INVOKE_APP_PATH,\\n 'test_program' : TEST_PROGRAM_NAME}\\n\\n params_info = {\\n 'datafile1' : {\\n 'text' : 'this is datafile1',\\n 'type' : 'file(datafile1)',\\n 'path' : \\\"%s/datafile1\\\" % (homedir),\\n },\\n }\\n\\n expected_parameters = params_info['datafile1']['path']\\n\\n sessnum,parameters_text = pass_parameters(self.apps_ws, self.reg_ws,\\n invoke_script, params_info,\\n self.https_authority, self.reguser,\\n self.regpass, self.browser,\\n self.catalog, self.utils)\\n\\n self.close_sessions.append(sessnum)\\n\\n # log into the tool session container to get the list of parameters\\n # passed into the test program. we check that the paramaters were\\n # all found in our original parameters file we generated earlier.\\n\\n ws = self.session.access(session_number=sessnum)\\n ws.execute('echo $SESSION')\\n\\n ws_params_text = retrieve_container_parameters(ws)\\n ws_params_out = retrieve_program_output(ws,TEST_PROGRAM_PARAMS_FNAME)\\n\\n ws.close()\\n\\n # check that the TOOL_PARAMETERS file has the same info\\n # as out parameters_text variable it was created from\\n assert parameters_text == ws_params_text, \\\\\\n \\\"TOOL_PARAMETERS file in container does not match data\\\" \\\\\\n + \\\" sent through url.\\\\nexpected:\\\\n%s\\\\nreceived:\\\\n%s\\\\n\\\" \\\\\\n % (repr(parameters_text),repr(ws_params_text))\\n\\n # check that toolparams started the correct tool based on\\n # parameters passed into the container.\\n assert expected_parameters == ws_params_out, \\\\\\n \\\"expected parameters: %s\\\\nreceived parameters: %s\\\" \\\\\\n % (repr(expected_parameters),repr(ws_params_out))\",\n \"def main(args=sys.argv):\\n try:\\n # Set up logging.\\n logging.basicConfig(level=logging.WARN)\\n work_dir = args[1]\\n assert os.path.exists(work_dir), \\\"First argument to lsf_runner.py must be a directory that exists\\\"\\n do_work_on_compute_node(work_dir)\\n except Exception as exc:\\n # Dump encoded data that we will try to fetch using mechanize\\n print(exc)\\n raise\",\n \"def createjob(args):\\n ncell = args.ncell\\n nmg = args.nmg\\n nsi = args.nsi\\n nvac = args.nvac\\n a0 = args.a0\\n temp = args.temp\\n nseeds = args.nseeds\\n seeds = args.seeds\\n nsteps = args.nsteps\\n foldername_append = args.foldername_append\\n pot = args.pot\\n submit = args.submit\\n submitdebug = args.submitdebug\\n submittime_hours = args.submittime_hours\\n test = args.test\\n testfiles = args.testfiles\\n nodes = args.nodes\\n verbose = args.verbose\\n\\n\\n ### check if ase runner/quippy/lammpps-data formats are known\\n ase_formats = mu.ase_get_known_formats_class(verbose=True)\\n ase_formats.check_if_default_formats_known(copy_and_adapt_formatspy_anyhow=False)\\n\\n # definex ffsocket inet/unix\\n if nodes == 1:\\n ffsocket = \\\"unix\\\"\\n elif nodes > 1:\\n ffsocket = \\\"inet\\\"\\n else:\\n sys.exit(\\\"Number of nodes has to be positive!\\\")\\n\\n\\n # define ntasks, neval\\n lmp_par = 2 # = OMP_NUM_THREADS\\n ntasks = cores = nodes * 28\\n ipi_inst = 4 # for sure best on fidis\\n neval = ipi_inst*2 # was alwasy better, for ompi and impi\\n\\n ##### get the seed(s).\\n if type(seeds) == bool:\\n seeds = random.sample(range(1, 999999), nseeds)\\n print('seeds',seeds)\\n if test == True:\\n nseeds = 1\\n seeds = [1]\\n print('seeds',seeds)\\n nseeds = len(seeds)\\n\\n ##### a few checks\\n scripts = mu.scripts()\\n mypot = mu.mypot(pot)\\n if submit is True or submitdebug is True:\\n hostcheck = os.environ[\\\"myhost\\\"]\\n if hostcheck == \\\"\\\":\\n sys.exit('host unknown 87')\\n\\n\\n ##### here only chck if the potential can be set up. (in.lmp)\\n ##### the same command is then executed for every kmc folder\\n ace = mu.ase_calculate_ene(pot=pot,\\n potpath=False,\\n units='eV',geopt=False,kmc=True,verbose=verbose)\\n ace.pot_get_and_ase_lmp_cmd(kmc=True,temp=temp,nsteps=nsteps,ffsocket=ffsocket)\\n\\n ##### if test\\n if test == True:\\n nsteps = 50\\n\\n file_ipi_input_runner = scripts + \\\"/i-pi-mc_scripts/input-runner.xml\\\"\\n\\n\\n ####################################\\n # get directory\\n ####################################\\n if verbose:\\n print(\\\"get directory\\\")\\n pcsi = nsi/ncell**3.*100\\n pcmg = nmg/ncell**3.*100\\n pcvac = nvac/ncell**3.*100\\n if args.cubic == True:\\n pc = \\\"cubic\\\"\\n else:\\n pc = \\\"primitive\\\"\\n directory = str(ncell)+\\\"x\\\"+str(ncell)+\\\"x\\\"+str(ncell)+\\\"_\\\"+pc+\\\"_\\\"+pot+\\\"_\\\"+\\\\\\n str(temp)+\\\"K_\\\"+\\\\\\n str(nvac)+\\\"Vac_\\\"+str(nmg)+\\\"Mg_\\\"+str(nsi)+\\\"Si__\\\"+\\\\\\n str(round(pcvac,3))+\\\"pctVac_\\\"+str(round(pcmg,3))+\\\"pctMg_\\\"+str(round(pcsi,3))+\\\"pctSi\\\"\\n if foldername_append != \\\"\\\":\\n directory = directory+\\\"_\\\"+foldername_append\\n\\n ###############################################\\n # make the structure\\n ###############################################\\n atomsc_fakevac = mu.get_ase_atoms_object_kmc_al_si_mg_vac(ncell,nsi,nmg,nvac,a0,create_fake_vacancy = True,cubic=args.cubic)\\n atomsc = mu.get_ase_atoms_object_kmc_al_si_mg_vac(ncell,nsi,nmg,nvac,a0,cubic=args.cubic)\\n\\n # make the atomic structure\\n # this was to play ... not necessary now?\\n if False:\\n nndist = a0/np.sqrt(2.)\\n\\n from ase.io import read as ase_read\\n from ase.io import write as ase_write\\n\\n ###############################################\\n # get the amount of 1NN in a relly large cell\\n ###############################################\\n atomsc_fakevac_i = ase_read('dataxx.extxyz3',index=\\\":\\\",format='extxyz') # works, cell ist not changed\\n #atomsc_fakevac_i = mu.get_ase_atoms_object_kmc_al_si_mg_vac(ncell=10,nsi=0,nmg=0,nvac=1,a0=a0,cubic=False,create_fake_vacancy = True,normal_ordering=\\\"XX_0\\\")\\n #nn = mu.ase_get_neighborlist(atomsc_fakevac_i,atomnr=0,cutoff=3.,skin=0.1)\\n #print(\\\"nn\\\",nn,'len',len(nn))\\n #nn = mu.ase_get_neighborlist(atomsc_fakevac_i,atomnr=0,cutoff=8.5,skin=0.1)\\n #print(\\\"nn\\\",nn,'len',len(nn))\\n #sys.exit()\\n\\n print(len(atomsc_fakevac_i),type(atomsc_fakevac_i))\\n\\n for idx,i in enumerate(atomsc_fakevac_i):\\n print('aa',atomsc_fakevac_i[idx].positions[0])\\n #print('aa',i.positions[0])\\n print('ipi')\\n atomsc_fakevac_i = ase_read('dataxx.ipi2',index=\\\":\\\",format='ipi') # works, cell ist not changed\\n print(len(atomsc_fakevac_i),type(atomsc_fakevac_i))\\n for idx,i in enumerate(atomsc_fakevac_i):\\n print('aa',atomsc_fakevac_i[idx].positions[0])\\n #print('aa',i.positions[0])\\n print('quippy')\\n atomsc_fakevac_i = ase_read('dataxx.quippy.xyz2',index=\\\":\\\",format='quippy') # works, cell ist not changed\\n\\n\\n\\n filename = '../sim.xyz'\\n filename = '../simulation.pos_0.xyz'\\n mu.count_amount_1NN_around_vacancies(filename,cutoffa=nndist,cutoffb=a0,skin=0.1,format='ipi')\\n sys.exit()\\n\\n def mysave_quippy_xyz(atomsc_fakevac,text=False):\\n if type(text) == bool:\\n sys.exit('define text')\\n atomsc_fakevac.write('data.quippy.xyz',format='quippy',append=True)\\n #atomsc_fakevac.write('data.xyz',format=\\\"extxyz\\\",append=True)\\n atomsc_fakevac.write('data'+text+'.quippy.xyz',format='quippy',append=True)\\n #atomsc_fakevac.write('data'+text+'.xyz',format=\\\"extxyz\\\",append=True)\\n return\\n\\n # create Al with single vacancy\\n atomsc_fakevac = mu.get_ase_atoms_object_kmc_al_si_mg_vac(ncell=5,nsi=0,nmg=0,nvac=1,a0=a0,cubic=False,create_fake_vacancy = True,normal_ordering=\\\"XX_0\\\")\\n NN_1_indices, NN_2_indices = mu.ase_get_neighborlist_1NN_2NN(atomsc_fakevac,atomnr=0,cutoffa=nndist,cutoffb=a0,skin=0.1)\\n #print('from ....',(atomsc_fakevac.positions)[0])\\n #for i in NN_1_indices:\\n # print((atomsc_fakevac.positions)[i])\\n print('NN_1_indices (orig ):',NN_1_indices)\\n print('NN_2_indices (orig ):',NN_2_indices)\\n #sys.exit()\\n atomsc_fakevac.write('dataxx.quippy.xyz',format='quippy',append=True)\\n atomsc_fakevac.write('dataxx.poscar',format='vasp',append=True)\\n atomsc_fakevac.write('dataxx.ipi',format='ipi',append=True) # works, currently so implemented that it canges cell\\n atomsc_fakevac.write('dataxx.xyz',format='xyz',append=True)\\n atomsc_fakevac.write('dataxx.extxyz',format='extxyz',append=True)\\n atomsc_fakevac.write('dataxx.lammps-data',format='lammps-data',append=True)\\n atomsc_fakevac.write('dataxx.lammps-runner',format='lammps-runner',append=True)\\n\\n atomsc_fakevac_a = ase_read('dataxx.extxyz',format='extxyz') # works, cell ist not changed\\n atomsc_fakevac_a.write('dataxx.extxyz2',format='extxyz',append=True) # works, cell is not changed\\n\\n atomsc_fakevac_b = ase_read('dataxx.xyz',format='xyz') # not working # but this should work\\n atomsc_fakevac_b.write('dataxx.xyz2',format='xyz',append=True) # this is working\\n\\n atomsc_fakevac_c = ase_read('dataxx.ipi',format='ipi') # works, currently so implemented that it canges cell\\n #print('ipi cell',atomsc_fakevac_c.get_cell())\\n\\n atomsc_fakevac_c.write('dataxx.ipi2',format='ipi',append=True) # works, just writes the cell it gests.\\n atomsc_fakevac_c.write('dataxx.ipi2_poscar',format='vasp',append=True) # works, just writes the cell it gests.\\n NN_1_indices, NN_2_indices = mu.ase_get_neighborlist_1NN_2NN(atomsc_fakevac_c,atomnr=0,cutoffa=nndist,cutoffb=a0,skin=0.1)\\n print('NN_1_indices (ipi ):',NN_1_indices)\\n print('NN_2_indices (ipi ):',NN_2_indices)\\n #print('from ....',(atomsc_fakevac_c.positions)[0])\\n #for i in NN_1_indices:\\n # print((atomsc_fakevac_c.positions)[i])\\n\\n atomsc_fakevac_cc = ase_read('dataxx.ipi2_poscar',format='vasp') # works, currently so implemented that it canges cell\\n atomsc_fakevac_cc.write('dataxx.ipi2_poscar2',format='vasp',append=True)\\n atomsc_fakevac_cc.write('dataxx.ipi2_poscar2_ipi',format='ipi',append=True) # works, just writes the cell it gests.\\n #print('ipi cell2 (ext):',atomsc_fakevac_cc.get_cell())\\n #print()\\n #print('now quippy')\\n atomsc_fakevac_d = ase_read('dataxx.quippy.xyz',format='quippy')\\n #print('quippy cell (ext)',atomsc_fakevac_d.get_cell())\\n atomsc_fakevac_d.write('dataxx.quippy.xyz2',format='quippy',append=True)\\n atomsc_fakevac_d.write('dataxx.quippy.xyz2_extxyz',format='extxyz',append=True)\\n NN_1_indices, NN_2_indices = mu.ase_get_neighborlist_1NN_2NN(atomsc_fakevac_d,atomnr=0,cutoffa=nndist,cutoffb=a0,skin=0.1)\\n print('NN_1_indices (quippy):',NN_1_indices)\\n print('NN_2_indices (quippy):',NN_2_indices)\\n #print('from ....',(atomsc_fakevac_d.positions)[0])\\n #for i in NN_1_indices:\\n # print((atomsc_fakevac_d.positions)[i])\\n path = \\\"/home/glensk/kmc/run_michele/Si6Mg6V1.1_/simulation.pos_libatom_2struct.xyz\\\"\\n atomsc_fakevac_e = ase_read(path,format='quippy')\\n\\n NN_1_indices, NN_2_indices = mu.ase_get_neighborlist_1NN_2NN(atomsc_fakevac_e,atomnr=0,cutoffa=nndist,cutoffb=a0,skin=0.1)\\n print('NN_1_indices (kmc ):',NN_1_indices)\\n print('NN_2_indices (kmc ):',NN_2_indices)\\n sys.exit()\\n\\n NN_1_indices = mu.ase_get_neighborlist(atomsc_fakevac,atomnr=0,cutoff=nndist,skin=0.1)\\n NN_1_2_indices_tmp = mu.ase_get_neighborlist(atomsc_fakevac,atomnr=0,cutoff=a0,skin=0.1)\\n print('NN_1_indices :',NN_1_indices)\\n NN_2_indices = np.sort(np.array(mu.diff(NN_1_2_indices_tmp,NN_1_indices)))\\n print('NN_2_indices :',NN_2_indices)\\n NN_1_2_indices = np.concatenate((NN_1_indices, NN_2_indices ))\\n print('NN_1_2_indices:',NN_1_2_indices)\\n\\n\\n # fill only 1NN (with one species)\\n for i in [ 'Mg', 'Si' ]:\\n atomsc_fakevac = mu.get_ase_atoms_object_kmc_al_si_mg_vac(ncell=5,nsi=0,nmg=0,nvac=1,a0=a0,cubic=False,create_fake_vacancy = True,normal_ordering=\\\"XX_0\\\")\\n mysave_quippy_xyz(atomsc_fakevac,text=\\\"1NN\\\")\\n for ii in NN_1_indices:\\n atomsc_fakevac[ii].symbol = i\\n mysave_quippy_xyz(atomsc_fakevac,text=\\\"1NN\\\")\\n\\n # fill only 2NN (with one species)\\n for i in [ 'Mg', 'Si' ]:\\n atomsc_fakevac = mu.get_ase_atoms_object_kmc_al_si_mg_vac(ncell=5,nsi=0,nmg=0,nvac=1,a0=a0,cubic=False,create_fake_vacancy = True,normal_ordering=\\\"XX_0\\\")\\n mysave_quippy_xyz(atomsc_fakevac,text=\\\"2NN\\\")\\n for ii in NN_2_indices:\\n atomsc_fakevac[ii].symbol = i\\n mysave_quippy_xyz(atomsc_fakevac,text=\\\"2NN\\\")\\n\\n # fill 1NN and 2NN (with one species)\\n for i in [ 'Mg', 'Si' ]:\\n atomsc_fakevac = mu.get_ase_atoms_object_kmc_al_si_mg_vac(ncell=5,nsi=0,nmg=0,nvac=1,a0=a0,cubic=False,create_fake_vacancy = True,normal_ordering=\\\"XX_0\\\")\\n mysave_quippy_xyz(atomsc_fakevac,text=\\\"1and2NN\\\")\\n for ii in NN_1_2_indices:\\n atomsc_fakevac[ii].symbol = i\\n mysave_quippy_xyz(atomsc_fakevac,text=\\\"1and2NN\\\")\\n\\n # dif compositions in 1NN shell\\n filling = [ 2,4,6,8,10]\\n for fi in filling:\\n atomsc_fakevac = mu.get_ase_atoms_object_kmc_al_si_mg_vac(ncell=5,nsi=0,nmg=0,nvac=1,a0=a0,cubic=False,create_fake_vacancy = True,normal_ordering=\\\"XX_0\\\")\\n mysave_quippy_xyz(atomsc_fakevac,text=\\\"1NN_diffcomp\\\")\\n for idx,ii in enumerate(NN_1_indices):\\n if idx < fi: ch = \\\"Mg\\\"\\n else: ch = \\\"Si\\\"\\n atomsc_fakevac[ii].symbol = ch\\n mysave_quippy_xyz(atomsc_fakevac,text=\\\"1NN_diffcomp\\\")\\n\\n\\n sys.exit()\\n\\n #mu.ase_get_known_formats(show=True, add_missing_formats=False, copy_formats=False, verbose=False,show_formatspy=True)\\n for i in [ 'Mg', 'Si' ]:\\n for ii in [ 0,1,2,3,4,5]:\\n atomsc_fakevac = mu.get_ase_atoms_object_kmc_al_si_mg_vac(ncell=5,nsi=0,nmg=0,nvac=1,a0=a0,cubic=False,create_fake_vacancy = True,normal_ordering=i+'_'+str(ii))\\n\\n\\n sys.exit()\\n\\n\\n # show the input variables\\n print('--------------------------- check the input --------------------------------')\\n print('JOBS (nseeds) ',nseeds,'(defined by -nseeds / or -seeds)')\\n print('seeds ',seeds)\\n print('nsteps ',nsteps)\\n print()\\n print('ncell ',ncell,\\\"(\\\",atomsc.get_number_of_atoms(),\\\"atoms )\\\")\\n print('nsi ',nsi, \\\"(\\\",pcsi,\\\"at%)\\\")\\n print('nmg ',nmg,\\\"(\\\",pcmg,\\\"at%)\\\")\\n print('nvac ',nvac,\\\"(\\\",pcvac,\\\"at%)\\\")\\n print('a0 ',a0,\\\"angstrom\\\")\\n print('temp ',temp,\\\"K\\\")\\n print()\\n print('mypot.pot ',mypot.pot)\\n print('mypot.potpath ',mypot.potpath)\\n print()\\n print('directory ',directory)\\n print('submit ',submit)\\n print('submitdebug ',submitdebug)\\n print()\\n print('nodes ',nodes)\\n print('ffsocket ',ffsocket)\\n #print('python ver ',sys.version_info[0])\\n #print()\\n print('--------------------------- check the input --------------------------------')\\n if submit == True or submitdebug == True:\\n mu.get_from_prompt_Yy_orexit(\\\"Are the ine input variables ok? [y]es: \\\")\\n\\n # make the directory\\n if os.path.isdir(directory):\\n mu.get_from_prompt_Yy_orexit(\\\"This main directory exists already, shall I add jobs? [y]es: \\\")\\n mu.mkdir(directory)\\n\\n # create README.md\\n IPI_COMMAND = os.environ[\\\"IPI_COMMAND\\\"]\\n LAMMPS_COMMAND = os.environ[\\\"LAMMPS_COMMAND\\\"]\\n mu.create_READMEtxt(directory,add=[\\\"# to start manually (1): python \\\"+IPI_COMMAND+\\\" input-runner.xml\\\",\\\"# to start manually (2):\\\"+LAMMPS_COMMAND+\\\" < in.lmp\\\"])\\n\\n for seed in seeds:\\n\\n # make jobdirectory\\n jobdir = directory+'/seed'+str(seed)\\n print('jobdir',jobdir)\\n if os.path.exists(jobdir):\\n sys.exit(\\\"jobdirectory \\\"+str(jobdir)+\\\" already exists!\\\")\\n mu.mkdir(jobdir)\\n\\n # get data.lmp and data.ipi\\n atomsc.write(jobdir+'/data.runnerformat.lmp',format='lammps-runner')\\n atomsc_fakevac.write(jobdir+'/data.ipi',format='ipi')\\n atomsc_fakevac.write(jobdir+'/data.extxyz',format='extxyz')\\n #atomsc_fakevac.write(jobdir+'/data_fakevac.ipi',format='ipi')\\n\\n if testfiles == True:\\n atomsc.write(jobdir+'/data.lmp',format='lammps-data')\\n atomsc.write(jobdir+'/data.POSCAR',format='vasp')\\n atomsc.write(jobdir+'/data.xyz',format='xyz')\\n atomsc.write(jobdir+'/data.extxyz',format='extxyz')\\n atomsc.write(jobdir+'/data.espresso-in',format='espresso-in')\\n\\n # create in.lmp\\n ace = mu.ase_calculate_ene(pot=pot,potpath=mypot.potpath,\\n units='eV',geopt=False,kmc=True,verbose=verbose)\\n address = socket.gethostname()+\\\"_\\\"+os.path.basename(jobdir)\\n print('address',address)\\n ace.pot_get_and_ase_lmp_cmd(kmc=True,temp=temp,nsteps=nsteps,ffsocket=ffsocket,address=address)\\n mu.lammps_write_inputfile(folder=jobdir,filename='in.lmp',positions='data.runnerformat.lmp',ace=ace)\\n\\n # create input-runner.xml (should be made without copying)\\n mu.create_ipi_kmc_inputfile(jobdir,filename=\\\"input-runner.xml\\\",nsteps=nsteps,stride=100,seed=seed,a0=a0,ncell=ncell,nsi=nsi,nmg=nmg,nvac=nvac,neval=neval,temp=temp,nodes=nodes,address=address,testrun=test,cubic=args.cubic)\\n\\n # create submit-ipi-kmc.sh (should be made without copying)\\n mu.create_submitskript_ipi_kmc(jobdir+\\\"/submit-ipi-kmc.sh\\\",nodes,ntasks,\\n lmp_par=lmp_par,\\n ipi_inst=ipi_inst,\\n ffsocket=ffsocket,\\n submittime_hours=submittime_hours,\\n SBATCH=True)\\n\\n # create osubmit-ipi-kmc.sh (should be made without copying)\\n mu.create_submitskript_ipi_kmc(jobdir+\\\"/osubmit-ipi-kmc.sh\\\",nodes,ntasks,\\n lmp_par=lmp_par,\\n ipi_inst=ipi_inst,\\n ffsocket=ffsocket,\\n submittime_hours=submittime_hours,\\n SBATCH=False)\\n\\n # submit the job (execute either this or submit-ipi-kmc.sh_all3, not both)\\n #mu.submitjob(submit=submit,submitdebug=submitdebug,jobdir=jobdir,submitskript=\\\"submit-ipi-kmc.sh\\\")\\n\\n # get submit-ipi-kmc.sh_all3 (should be made without copying)\\n if nseeds == 3:\\n mu.create_submitskript_ipi_kmc(directory+\\\"/submit-ipi-kmc.sh_all3\\\",nodes,ntasks,\\n lmp_par=lmp_par,\\n ipi_inst=ipi_inst,\\n ffsocket=ffsocket,\\n submittime_hours=submittime_hours,\\n SBATCH=True,\\n LOOPFOLDER=True)\\n\\n # submit the job (execute either this or submit-ipi-kmc.sh_all3, not both)\\n #mu.submitjob(submit=submit,submitdebug=submitdebug,jobdir=directory,submitskript=\\\"submit-ipi-kmc.sh_all3\\\")\\n if submit == True:\\n mu.submitjob(submit_to_que=True,submit_to_debug_que=False,jobdir=directory,submitskript=\\\"submit-ipi-kmc.sh_all3\\\")\\n\\n\\n print('done')\\n return\",\n \"def main():\\n\\n # this will analyze all files in the input_files directory\\n for folder in [x for x in os.listdir(os.path.join(os.getcwd(), 'test_directory')) if os.path.isdir(os.path.join(os.getcwd(), 'test_directory', x))]:\\n try:\\n print(f'Creating GED_Repo for files in {folder}')\\n g = GED_Repo([os.path.join(os.getcwd(), 'test_directory', folder, f) for f in os.listdir(os.path.join(os.getcwd(), 'test_directory', folder)) if f.endswith('.ged')])\\n g.check_data()\\n g.print_data()\\n g.print_individuals()\\n g.print_families()\\n except ValueError as v:\\n print(v)\\n except FileNotFoundError as f:\\n print(f)\",\n \"def run(self, dataset_fixture, run_name_prefix=\\\"test\\\"):\\n self.dataset = dataset_fixture\\n self.set_project_shortname(run_name_prefix)\\n self.upload_spreadsheet_and_create_submission()\\n self.wait_for_ingest_to_process_spreadsheet_files_tab()\\n self.get_upload_area_credentials()\\n self.stage_data_files()\\n self.wait_for_envelope_to_be_validated()\\n if self.export_bundles:\\n self.complete_submission()\\n if run_name_prefix == \\\"scale\\\":\\n # == Scaling Logic ==\\n self.wait_for_primary_bundles_analysis_workflows_and_results_bundles()\\n else:\\n # == Non-scaling Logic ==\\n self.wait_for_primary_bundles()\\n self.wait_for_analysis_workflows()\\n self.wait_for_secondary_bundles()\\n\\n self.assert_data_browser_bundles()\\n if self.deployment != 'prod':\\n self.retrieve_loom_output_from_matrix_service()\\n\\n if self.failure_reason:\\n raise RuntimeError(self.failure_reason)\",\n \"def main_tester():\\n create_tester_paths()\\n _logger.info(' -- tester init done setting up paths and db file.')\",\n \"def setUp(self):\\n input_files = glob.glob(PATH_TO_INPUT_FILES) # Read input (csv) files from current (sw/test) directory.\\n if not self.sessionizing:\\n self.sessionizing = Sessionizing()\\n self.sessionizing.initialize(*input_files)\\n if not self.sites_session_counter:\\n self.merge_and_sort_input_files(*input_files)\\n self.process_input_files()\",\n \"def launch(self, force_prep=False):\\n #TODO process upploaded csv\\n assert self.ready()\\n self.launch_progress = 0\\n self.set_status(\\\"Gathering data\\\")\\n if 'O' not in set(self.labels.dict.values()):\\n self.add_labels({max(list(self.labels.dict.keys()))+1:'O'})\\n\\n processed_file_path = os.path.join(DATASETS_PATH, self.dataset_uuid, 'processed.csv')\\n bert_file_path = os.path.join(DATASETS_PATH, self.dataset_uuid, 'processed.bert')\\n elmo_file_path = os.path.join(DATASETS_PATH, self.dataset_uuid, 'processed.elmo')\\n nlp_file_path = os.path.join(DATASETS_PATH, self.dataset_uuid, 'processed.nlp')\\n sbert_file_path = os.path.join(DATASETS_PATH, self.dataset_uuid, 'processed.sbert')\\n if os.path.exists(processed_file_path) and not force_prep:\\n df = pd.read_csv(processed_file_path)\\n if 'span_label' in df.columns:\\n df['span_label']=df['span_label'].apply(eval)\\n # Let's say loading the file is ~half the launch time\\n # (if the file already exists)\\n self.total = 2\\n self.update(1)\\n else:\\n datafiles = [os.path.join(DATASETS_PATH, self.dataset_uuid, d) \\\\\\n for d in os.listdir(os.path.join(DATASETS_PATH, self.dataset_uuid))]\\n df = concat_dataset(datafiles)\\n # expand total to account for time it takes to initialize the model\\n self.total = len(df)*(1.1) \\n self.set_status(\\\"Preprocessing data\\\")\\n df = self.process_data(df, processed_file_path)\\n\\n # load list of 'allennlp.data.instance's. allennlp.data.instance can store true labels and tag info internally.\\n if os.path.exists(nlp_file_path) and not force_prep:\\n with open(nlp_file_path, 'rb') as f:\\n sentences = pickle.load(f)\\n else:\\n #TODO define a universal reader for certain format\\n # reader = RestaurantsDatasetReader()\\n # data = reader.read(processed_file_path)\\n #TODO handle when aux files do not exist\\n pass\\n bert_emb = np.load(bert_file_path, allow_pickle=True)\\n elmo_emb = np.load(elmo_file_path, allow_pickle=True)\\n sbert_emb = np.load(sbert_file_path, allow_pickle=True)\\n for s, b, e, sb in zip(sentences, bert_emb, elmo_emb, sbert_emb):\\n s.fields['bert'] = b\\n s.fields['sbert'] = sb\\n s.fields['elmo'] = e\\n\\n df['bert'] = bert_emb\\n df['sbert'] = [sb for sb in sbert_emb]\\n df['elmo'] = elmo_emb\\n df['text_nlp'] = sentences\\n\\n columns_to_drop = list(\\n set(df.columns).intersection(set(['span_label','file','label'])))\\n df = df.drop(columns=columns_to_drop).reset_index()\\n # since df['text_nlp'] contains true label info, drop 'labels' column.\\n columns_to_drop = list(set(df.columns).difference(set(['index', 'Unnamed: 0', 'text', 'labels', 'split', 'bert', 'sbert',\\n 'elmo', 'text_nlp'])))\\n if len(columns_to_drop) > 0:\\n df = df.drop(columns=columns_to_drop)\\n df_train = df[df['split']=='train']\\n df_dev = df[df['split'] == 'dev']\\n df_valid = df[df['split'] == 'valid']\\n df_test = df[df['split'] == 'test']\\n\\n self.text_inv_dict = dict(\\n zip(list(df['text']),list(df.index))\\n )\\n\\n # TODO split heldout set if necessary\\n # for now, passing empty df as heldout set\\n df_heldout = df_test\\n\\n self.emb_dict = Embeddings(df)\\n\\n self.set_status(\\\"Initializing modeler\\\")\\n self.modeler = Modeler(df_train, df_dev, df_valid, df_test, df_heldout, self.labels, emb_dict=self.emb_dict)\\n\\n self.launch_progress = 1.0\\n self.set_status(\\\"Finished\\\")\\n return self.modeler\",\n \"def test_force_f(self, db, course_dir):\\n run_nbgrader([\\\"db\\\", \\\"assignment\\\", \\\"add\\\", \\\"ps1\\\", \\\"--db\\\", db])\\n run_nbgrader([\\\"db\\\", \\\"student\\\", \\\"add\\\", \\\"foo\\\", \\\"--db\\\", db])\\n\\n self._copy_file(join(\\\"files\\\", \\\"submitted-unchanged.ipynb\\\"), join(course_dir, \\\"source\\\", \\\"ps1\\\", \\\"p1.ipynb\\\"))\\n self._make_file(join(course_dir, \\\"source\\\", \\\"ps1\\\", \\\"foo.txt\\\"), \\\"foo\\\")\\n self._make_file(join(course_dir, \\\"source\\\", \\\"ps1\\\", \\\"data\\\", \\\"bar.txt\\\"), \\\"bar\\\")\\n run_nbgrader([\\\"generate_assignment\\\", \\\"ps1\\\", \\\"--db\\\", db])\\n\\n self._copy_file(join(\\\"files\\\", \\\"submitted-unchanged.ipynb\\\"), join(course_dir, \\\"submitted\\\", \\\"foo\\\", \\\"ps1\\\", \\\"p1.ipynb\\\"))\\n self._make_file(join(course_dir, \\\"submitted\\\", \\\"foo\\\", \\\"ps1\\\", \\\"foo.txt\\\"), \\\"foo\\\")\\n self._make_file(join(course_dir, \\\"submitted\\\", \\\"foo\\\", \\\"ps1\\\", \\\"data\\\", \\\"bar.txt\\\"), \\\"bar\\\")\\n run_nbgrader([\\\"autograde\\\", \\\"ps1\\\", \\\"--db\\\", db])\\n\\n self._make_file(join(course_dir, \\\"autograded\\\", \\\"foo\\\", \\\"ps1\\\", \\\"blah.pyc\\\"), \\\"asdf\\\")\\n run_nbgrader([\\\"generate_feedback\\\", \\\"ps1\\\", \\\"--db\\\", db])\\n\\n assert isfile(join(course_dir, \\\"feedback\\\", \\\"foo\\\", \\\"ps1\\\", \\\"p1.html\\\"))\\n assert isfile(join(course_dir, \\\"feedback\\\", \\\"foo\\\", \\\"ps1\\\", \\\"foo.txt\\\"))\\n assert isfile(join(course_dir, \\\"feedback\\\", \\\"foo\\\", \\\"ps1\\\", \\\"data\\\", \\\"bar.txt\\\"))\\n assert not isfile(join(course_dir, \\\"feedback\\\", \\\"foo\\\", \\\"ps1\\\", \\\"blah.pyc\\\"))\\n\\n # check that it skips the existing directory\\n remove(join(course_dir, \\\"feedback\\\", \\\"foo\\\", \\\"ps1\\\", \\\"foo.txt\\\"))\\n run_nbgrader([\\\"generate_feedback\\\", \\\"ps1\\\", \\\"--db\\\", db])\\n assert not isfile(join(course_dir, \\\"feedback\\\", \\\"foo\\\", \\\"ps1\\\", \\\"foo.txt\\\"))\\n\\n # force overwrite the supplemental files\\n run_nbgrader([\\\"generate_feedback\\\", \\\"ps1\\\", \\\"--db\\\", db, \\\"-f\\\"])\\n assert isfile(join(course_dir, \\\"feedback\\\", \\\"foo\\\", \\\"ps1\\\", \\\"foo.txt\\\"))\\n\\n # force overwrite\\n remove(join(course_dir, \\\"autograded\\\", \\\"foo\\\", \\\"ps1\\\", \\\"foo.txt\\\"))\\n run_nbgrader([\\\"generate_feedback\\\", \\\"ps1\\\", \\\"--db\\\", db, \\\"--force\\\"])\\n assert isfile(join(course_dir, \\\"feedback\\\", \\\"foo\\\", \\\"ps1\\\", \\\"p1.html\\\"))\\n assert not isfile(join(course_dir, \\\"feedback\\\", \\\"foo\\\", \\\"ps1\\\", \\\"foo.txt\\\"))\\n assert isfile(join(course_dir, \\\"feedback\\\", \\\"foo\\\", \\\"ps1\\\", \\\"data\\\", \\\"bar.txt\\\"))\\n assert not isfile(join(course_dir, \\\"feedback\\\", \\\"foo\\\", \\\"ps1\\\", \\\"blah.pyc\\\"))\",\n \"def test_import_process(self):\\r\\n good_file = self._get_file()\\r\\n imp = Importer(good_file, username=u\\\"admin\\\")\\r\\n imp.process()\\r\\n\\r\\n # now let's do some db sanity checks\\r\\n self._chrome_data_test()\",\n \"def submit_step(root_dir, config, step):\\r\\n\\r\\n premable = \\\"\\\"\\\"\\r\\n export PATH=~/project-pasaniuc/software/anaconda3/bin:$PATH\\r\\n export PYTHONNOUSERSITE=True\\r\\n \\\"\\\"\\\"\\r\\n\\r\\n assert(step in ['mean_std', 'beta', 'phe_g', 'phe', 'zsc'])\\r\\n script ='python gwas_sim.py --step {step} --root_dir {root_dir}'.format(step=step, root_dir=root_dir)\\r\\n \\r\\n if step in ['mean_std', 'phe_g', 'zsc']:\\r\\n script += ' --part_i $((SGE_TASK_ID - 1))'\\r\\n job_num = config['num_part']\\r\\n else:\\r\\n job_num = 1\\r\\n print(script)\\r\\n \\r\\n if step == 'mean_std':\\r\\n memory = '4G'\\r\\n duration='00:20:00'\\r\\n elif step == 'beta':\\r\\n memory = '4G'\\r\\n duration='00:05:00'\\r\\n elif step == 'phe_g' or step == 'zsc':\\r\\n memory = '6G'\\r\\n duration='01:00:00'\\r\\n elif step == 'phe':\\r\\n memory = '6G'\\r\\n duration='00:10:00'\\r\\n else:\\r\\n assert(False)\\r\\n \\r\\n submit_script(script=script, \\r\\n premable=premable,\\r\\n jobnum=job_num,\\r\\n name=step,\\r\\n memory=memory,\\r\\n duration=duration)\",\n \"def _generate_and_load_initial_batch(self, working_directory: Path):\\n\\n template_dir = Path(working_directory) / \\\"template_1\\\"\\n template_dir.mkdir()\\n # changes here should often be reflected in\\n # data_generator_opts and data_loader_opts\\n\\n channel_decl = self.channel_configs[0]\\n\\n plugin_options = {\\n \\\"pid\\\": \\\"0\\\",\\n \\\"big_ids\\\": \\\"True\\\",\\n }\\n # if it's efficient to do the whole load in one go, let's just do that.\\n if self.run_until.gap < MIN_PORTION_SIZE:\\n num_records = self.run_until.gap\\n else:\\n num_records = 1 # smallest possible batch to get to parallelizing fast\\n results = self._generate_and_load_batch(\\n template_dir,\\n channel_decl.org_config,\\n {\\n \\\"generator_yaml\\\": self.options.get(\\\"recipe\\\"),\\n \\\"num_records\\\": num_records,\\n \\\"num_records_tablename\\\": self.run_until.sobject_name or COUNT_REPS,\\n \\\"loading_rules\\\": self.loading_rules,\\n \\\"vars\\\": channel_decl.merge_recipe_options(self.recipe_options),\\n \\\"plugin_options\\\": plugin_options,\\n \\\"bulk_mode\\\": self.bulk_mode,\\n },\\n )\\n self.update_running_totals_from_load_step_results(results)\\n\\n # rename directory to reflect real number of sets created.\\n wd = SnowfakeryWorkingDirectory(template_dir)\\n if self.run_until.sobject_name:\\n self.sets_finished_while_generating_template = wd.get_record_counts()[\\n self.run_until.sobject_name\\n ]\\n else:\\n self.sets_finished_while_generating_template = num_records\\n\\n new_template_dir = data_loader_new_directory_name(template_dir, self.run_until)\\n shutil.move(template_dir, new_template_dir)\\n template_dir = new_template_dir\\n\\n # don't send data tables to child processes. All they\\n # care about are ID->OID mappings\\n wd = SnowfakeryWorkingDirectory(template_dir)\\n self._cleanup_object_tables(*wd.setup_engine())\\n\\n return template_dir, wd.relevant_sobjects()\",\n \"def make_submission(commit: CommitDetails):\\n\\n submitter, commit_id = commit.submitter, commit.commit_id\\n\\n subprocess.run(f\\\"git checkout --force {commit_id}\\\", shell=True, stdout=subprocess.DEVNULL,\\n stderr=subprocess.DEVNULL, cwd=f\\\"{SUBS_DIR}/{submitter}/{ASSIGNMENT}\\\", check=True)\\n\\n submission_path = os.path.realpath(f\\\"{SUBS_DIR}/{submitter}/{ASSIGNMENT}\\\")\\n subprocess.run(f\\\"./add_sub_manually.sh {submission_path}\\\", shell=True, check=False)\",\n \"def run_file(self, user_input):\\n # Extract the important information\\n self.path, self.name = self.extractor.extract_program_information(user_input)\\n\\n # Determine what language the program is\\n program_type = self.determine_program_type(path, name)\\n\\n # If the file is python, run it the specific way\\n # @TODO: Make it work without shell=True\\n if program_type == \\\"python\\\":\\n subprocess.Popen(\\\"python \\\" + self.path + self.name, shell=True)\",\n \"def main():\\r\\n parser = get_parser()\\r\\n config = parser.parse_args(['--cfg', 'config.yaml'])\\r\\n result_filing.init_config_vars(config)\\r\\n run_id = config.info.run_id\\r\\n logger = custom_logger.CustomLogger(run_id+':'+file_id)\\r\\n\\r\\n operation = config.info.operation_type\\r\\n logger.info(\\\"Selected operation type %s.\\\"%(operation))\\r\\n if operation == const.TRAIN_OP:\\r\\n train.train_model(config)\\r\\n elif operation == const.DEPLOY_OP:\\r\\n test.test_model(config)\",\n \"def go():\\n u_input = UserInput()\\n\\n # Locates important folders\\n input_folder = u_input.get_input_folder()\\n working_folder = u_input.get_working_folder()\\n output_folder = u_input.get_output_folder()\\n\\n # Remaining information of the configuration file\\n sequence_type = u_input.get_sequence_type()\\n protein_type = u_input.get_protein_type()\\n check_settings(sequence_type, protein_type)\\n accession_ncbi_list = u_input.get_genome_accessions()\\n user_email = u_input.get_user_email()\\n distance_function = u_input.get_distance_function()\\n e_value = u_input.get_e_value()\\n cutoff = u_input.get_cutoff()\\n replicates = u_input.get_replicates()\\n blast_word_size = u_input.get_blast_word_size()\\n\\n # Output files configuration\\n majority_or_support_tree = u_input.get_phylogenetic_tree_type()\\n original_newick_tree = u_input.get_original_newick_tree()\\n original_distance_matrix = u_input.get_original_distance_matrix()\\n bootstrap_distance_matrix = u_input.get_bootstrap_distance_matrix()\\n\\n # Deletes old content from files\\n delete_folder_content(working_folder)\\n # delete_folder_content(output_folder)\\n\\n # Downloads NCBI files\\n access_ncbi(accession_ncbi_list, user_email, input_folder)\\n\\n # Preprocessing phase\\n n_files = 0\\n error_list = []\\n preprocess_phase = Preprocess()\\n for file in os.listdir(\\\"../\\\" + input_folder): # Navigates into the input_folder\\n n_files += 1\\n error_list = preprocess_phase.preprocessing_phase(file, input_folder, sequence_type, protein_type, working_folder)\\n\\n # Displays a list of error detected in the preprocessing code\\n display_error_messages(error_list)\\n\\n if len(error_list) < n_files - 1:\\n alignment = Blast()\\n # Builds a database\\n distance_dictionary, coverage_vector_dictionary = alignment.make_blast_database(\\n sequence_type, working_folder, e_value, blast_word_size)\\n print(\\\"Sequence alignment has been done\\\")\\n\\n # Calculates distances and generates a phylogenetic tree in newick format\\n phylogeny_tree = Phylogeny()\\n print(\\\"Creating phylogenetic trees\\\")\\n newick_tree = phylogeny_tree.get_newick_tree(coverage_vector_dictionary, distance_dictionary, distance_function,\\n replicates, working_folder, output_folder,\\n original_distance_matrix, bootstrap_distance_matrix,\\n original_newick_tree)\\n\\n # Read and concatenates trees from files\\n tree_list = phylogeny_tree.get_tree_list(working_folder)\\n\\n # Generates a consensus trees with or without support\\n if majority_or_support_tree in [\\\"Support\\\", \\\"support\\\"]:\\n phylogeny_tree.get_support_tree(newick_tree, tree_list, output_folder)\\n elif majority_or_support_tree in [\\\"Majority\\\", \\\"majority\\\"]:\\n phylogeny_tree.majority_consensus_tree(output_folder, tree_list, cutoff)\\n else:\\n if majority_or_support_tree in [\\\"Both\\\", \\\"both\\\"]:\\n phylogeny_tree.get_support_tree(newick_tree, tree_list, output_folder)\\n phylogeny_tree.majority_consensus_tree(output_folder, tree_list, cutoff)\\n else:\\n print(\\\"No majority tree consensus or support tree will be calculated\\\")\\n else:\\n print('\\\\n', \\\"At least two correct sequences to compare are needed. Please, check the error list to solve the \\\"\\n \\\"detected problems and the content of the '\\\" + input_folder + \\\"' folder.\\\")\",\n \"def main():\\n parser = argparse.ArgumentParser(\\n description=\\\"Script that splits a list of files of vtb trees into train/dev/test sets\\\",\\n )\\n parser.add_argument(\\n 'org_dir',\\n help='The location of the original directory storing correctly formatted vtb trees '\\n )\\n parser.add_argument(\\n 'split_dir',\\n help='The location of new directory storing the train/dev/test set'\\n )\\n\\n args = parser.parse_args()\\n\\n org_dir = args.org_dir\\n split_dir = args.split_dir\\n\\n random.seed(1234)\\n\\n split_files(org_dir, split_dir)\",\n \"def main():\\n\\n while 1:\\n answer = input(\\\"Would you like replay the entire history of all commits in all submissions, \\\"\\n \\\"or just submit the current version of submissions?\\\\n(full_history/current): \\\")\\n if answer == \\\"full_history\\\":\\n full_history = True\\n break\\n elif answer == \\\"current\\\":\\n full_history = False\\n break\\n else:\\n print(\\\"Error: unexpected value '{}'. Please choose one of (full_history/current)\\\")\\n\\n if not verify_submissions_valid():\\n print(\\\"Errors must be corrected in test/submissions before testing can be run\\\")\\n exit(1)\\n\\n if subprocess.run(\\\"python3.8 backend.py check_config\\\", shell=True, check=False).returncode != 0:\\n print(\\\"Error with tournament configuration. Stopping testing\\\")\\n exit(1)\\n\\n # Ensure tournament is online\\n subprocess.run(\\\"python3.8 backend.py start_tournament\\\", shell=True, check=False)\\n time.sleep(2)\\n\\n print()\\n print(\\\"=========================\\\")\\n commit_details = get_details_all_commits(full_history)\\n print()\\n commit_details = strip_unneeded_commits(commit_details)\\n print(\\\"=========================\\\")\\n print()\\n\\n i = 0\\n for commit_detail in commit_details:\\n i += 1\\n print(f\\\"\\\\n({i}/{len(commit_details)}) {commit_detail}\\\")\\n make_submission(commit_detail)\",\n \"def train_projector(self, train_files, projector_file):\\n # save something\\n bob.io.base.save(_data, projector_file)\",\n \"def main():\\n\\n ############################ variable settings #################################\\n parser = argparse.ArgumentParser(description='Run Subtask C of GermEval 2017 Using Pre-Trained Language Model.')\\n parser.add_argument('--seed', type=int, default=42, help='Random seed.')\\n parser.add_argument('--lang_model', type=str, default='bert-base-german-dbmdz-uncased', help='The pre-trained language model.')\\n parser.add_argument('--epochs', type=int, default=4, help='Number of epochs for training.')\\n parser.add_argument('--lr', type=float, default=5e-5, help='The learning rate.')\\n parser.add_argument('--max_len', type=int, default=256, help='The maximum sequence length of the input text.')\\n parser.add_argument('--batch_size', type=int, default=32, help='Your train set batch size.')\\n parser.add_argument('--df_path', type=str, default='./data/', help='The data directory.') \\n parser.add_argument('--train_data', type=str, default='train_df_cat.tsv', help='The filename of the input train data.')\\n parser.add_argument('--dev_data', type=str, default='dev_df_cat.tsv', help='The filename of the input development data.')\\n parser.add_argument('--test_data1', type=str, default='test_syn_df_cat.tsv', help='The filename of the first input test data (synchronic).')\\n parser.add_argument('--test_data2', type=str, default='test_dia_df_cat.tsv', help='The filename of the second input test data (diachronic).')\\n parser.add_argument('--output_path', type=str, default='./output/subtaskC/', help='The output directory of the model and predictions.')\\n parser.add_argument(\\\"--train\\\", default=True, action=\\\"store_true\\\", help=\\\"Flag for training.\\\")\\n parser.add_argument(\\\"--save_prediction\\\", default=False, action=\\\"store_true\\\", help=\\\"Flag for saving predictions.\\\")\\n parser.add_argument(\\\"--save_cr\\\", default=False, action=\\\"store_true\\\", help=\\\"Flag for saving confusion matrix.\\\")\\n parser.add_argument(\\\"--exclude_general\\\", default=False, action=\\\"store_true\\\", help=\\\"Flag for excluding category Allgemein.\\\")\\n parser.add_argument(\\\"--exclude_neutral\\\", default=False, action=\\\"store_true\\\", help=\\\"Flag for excluding neutral polarity.\\\")\\n parser.add_argument(\\\"--exclude_general_neutral\\\", default=False, action=\\\"store_true\\\", help=\\\"Flag for excluding category Allgemein:neutral.\\\")\\n args = parser.parse_args()\\n ################################################################################\\n set_all_seeds(args.seed)\\n device, n_gpu = initialize_device_settings(use_cuda=True)\\n \\n # Load data\\n train_df = pd.read_csv(args.df_path + args.train_data, delimiter = '\\\\t')\\n dev_df = pd.read_csv(args.df_path + args.dev_data, delimiter = '\\\\t')\\n test_syn_df = pd.read_csv(args.df_path + args.test_data1, delimiter = '\\\\t')\\n test_dia_df = pd.read_csv(args.df_path + args.test_data2, delimiter = '\\\\t')\\n \\n # Create a tokenizer\\n lower_case = False\\n if args.lang_model[-7:] == \\\"uncased\\\":\\n lower_case = True\\n\\n if args.lang_model[:4] == \\\"bert\\\":\\n model_class = \\\"BERT\\\"\\n tokenizer = BertTokenizer.from_pretrained(args.lang_model, do_lower_case=lower_case, max_length=args.max_len)\\n \\n if args.lang_model[:10] == \\\"distilbert\\\":\\n model_class = \\\"DistilBERT\\\"\\n tokenizer = DistilBertTokenizer.from_pretrained(args.lang_model, do_lower_case=lower_case, max_length=args.max_len)\\n \\n\\n # get training features\\n cats = train_df.columns[5:]\\n end = \\\"full\\\"\\n # exclude categories if required\\n if (args.exclude_general):\\n cats = [i for i in list(cats) if \\\"Allgemein\\\" not in i]\\n end = \\\"excl_gen\\\"\\n if (args.exclude_neutral):\\n cats = [i for i in list(cats) if \\\"neutral\\\" not in i]\\n end = \\\"excl_neu\\\"\\n if (args.exclude_general_neutral):\\n cats = [i for i in list(cats) if \\\"Allgemein:neutral\\\" not in i]\\n end = \\\"excl_genneu\\\"\\n \\n num_labels = len(list(cats))\\n\\n # create one hot labels\\n train_df['one_hot_labels'] = list(train_df[list(cats)].values)\\n dev_df['one_hot_labels'] = list(dev_df[list(cats)].values)\\n test_syn_df['one_hot_labels'] = list(test_syn_df[list(cats)].values)\\n test_dia_df['one_hot_labels'] = list(test_dia_df[list(cats)].values)\\n\\n # retrieve sentences and labels\\n df = pd.concat([train_df, dev_df])\\n sentences = df.text.values\\n labels = list(df.one_hot_labels.values) \\n\\n sentences_syn = test_syn_df.text.values\\n labels_syn = list(test_syn_df.one_hot_labels.values)\\n\\n sentences_dia = test_dia_df.text.values\\n labels_dia = list(test_dia_df.one_hot_labels.values)\\n \\n print(\\\"number of categories:\\\", len(list(cats)))\\n\\n # Tokenize all of the sentences and map the tokens to their word IDs. \\n input_ids = [tokenizer.encode(sent, add_special_tokens=True, truncation=True, \\n max_length=args.max_len) for sent in sentences]\\n input_ids = pad_sequences(input_ids, maxlen=args.max_len, dtype=\\\"long\\\", \\n value=0.0, truncating=\\\"post\\\", padding=\\\"post\\\")\\n # Create attention masks\\n attention_masks = [[int(token_id > 0) for token_id in sent] for sent in input_ids]\\n \\n # synchronic test data\\n input_ids_syn = [tokenizer.encode(sent, add_special_tokens=True, truncation=True) for sent in sentences_syn]\\n input_ids_syn = pad_sequences(input_ids_syn, maxlen=args.max_len, dtype=\\\"long\\\", \\n value=0.0, truncating=\\\"post\\\", padding=\\\"post\\\")\\n attention_masks_syn = [[int(token_id > 0) for token_id in sent] for sent in input_ids_syn]\\n \\n # diachronic test data\\n input_ids_dia = [tokenizer.encode(sent, add_special_tokens=True, truncation=True) for sent in sentences_dia]\\n input_ids_dia = pad_sequences(input_ids_dia, maxlen=args.max_len, dtype=\\\"long\\\", \\n value=0.0, truncating=\\\"post\\\", padding=\\\"post\\\")\\n attention_masks_dia = [[int(token_id > 0) for token_id in sent] for sent in input_ids_dia]\\n\\n # split train, dev\\n train_inputs, train_labels, dev_inputs, dev_labels, train_masks, dev_masks = split_train_dev(\\n train_df, dev_df, attention_masks, input_ids, labels)\\n \\n # transform to torch tensor\\n train_inputs = torch.tensor(train_inputs)\\n dev_inputs = torch.tensor(dev_inputs)\\n\\n train_labels = torch.tensor(train_labels)\\n dev_labels = torch.tensor(dev_labels)\\n\\n train_masks = torch.tensor(train_masks)\\n dev_masks = torch.tensor(dev_masks)\\n\\n test_syn_inputs = torch.tensor(input_ids_syn)\\n test_syn_masks = torch.tensor(attention_masks_syn)\\n test_syn_labels = torch.tensor(labels_syn)\\n\\n test_dia_inputs = torch.tensor(input_ids_dia)\\n test_dia_masks = torch.tensor(attention_masks_dia)\\n test_dia_labels = torch.tensor(labels_dia)\\n\\n # Create the DataLoader\\n train_dataloader = create_dataloader(train_inputs, train_masks, \\n train_labels, args.batch_size, train = True)\\n\\n dev_dataloader = create_dataloader(dev_inputs, dev_masks, \\n dev_labels, args.batch_size, train = False)\\n\\n test_syn_dataloader = create_dataloader(test_syn_inputs, test_syn_masks, \\n test_syn_labels, args.batch_size, \\n train = False)\\n\\n test_dia_dataloader = create_dataloader(test_dia_inputs, test_dia_masks, \\n test_dia_labels, args.batch_size, \\n train = False)\\n\\n # Create model\\n if args.train:\\n if model_class == \\\"BERT\\\":\\n config = BertConfig.from_pretrained(args.lang_model, num_labels=num_labels) \\n config.hidden_dropout_prob = 0.1 \\n model = BertForSequenceClassification.from_pretrained(\\n args.lang_model,\\n num_labels = num_labels,\\n output_attentions = False,\\n output_hidden_states = False\\n )\\n\\n if model_class == \\\"DistilBERT\\\":\\n config = DistilBertConfig.from_pretrained(args.lang_model, num_labels=num_labels) \\n config.hidden_dropout_prob = 0.1 \\n model = DistilBertForSequenceClassification.from_pretrained(\\n args.lang_model,\\n num_labels = num_labels,\\n output_attentions = False,\\n output_hidden_states = False\\n )\\n model.cuda()\\n\\n\\n # Create an optimizer\\n param_optimizer = list(model.named_parameters())\\n no_decay = ['bias', 'LayerNorm.weight']\\n optimizer_grouped_parameters = [\\n {'params': [p for n, p in param_optimizer if not any(nd in n for nd in no_decay)],\\n 'weight_decay_rate': 0.01},\\n {'params': [p for n, p in param_optimizer if any(nd in n for nd in no_decay)],\\n 'weight_decay_rate': 0.0}\\n ]\\n optimizer = AdamW(\\n optimizer_grouped_parameters,\\n lr=args.lr,\\n eps = 1e-8\\n )\\n # Total number of training steps = number of batches * number of epochs\\n total_steps = len(train_dataloader) * args.epochs\\n # Create the learning rate scheduler\\n scheduler = get_linear_schedule_with_warmup(\\n optimizer,\\n num_warmup_steps=0,\\n num_training_steps=total_steps\\n )\\n \\n # train model\\n # Main Loop\\n print(\\\"=================== Train ================\\\")\\n print(\\\"##### Language Model:\\\", args.lang_model, \\\",\\\", \\\"learning rate:\\\", args.lr)\\n print()\\n\\n track_time = time.time()\\n # trange is a tqdm wrapper around the normal python range\\n for epoch in trange(args.epochs, desc=\\\"Epoch\\\"):\\n print(\\\"Epoch: %4i\\\"%epoch, dt.datetime.now())\\n\\n model, optimizer, scheduler, tr_loss = train_multilabel(\\n train_dataloader=train_dataloader, \\n model=model, \\n device=device, \\n optimizer=optimizer, \\n scheduler=scheduler, \\n num_labels=num_labels\\n )\\n # EVALUATION: TRAIN SET\\n pred_bools_train, true_bools_train, f1_train = eval_multilabel(\\n train_dataloader, model=model, device=device)\\n print(\\\"TRAIN: micro F1 %.3f\\\"%(f1_train))\\n \\n # EVALUATION: DEV SET\\n pred_bools_dev, true_bools_dev, f1_dev = eval_multilabel(\\n dev_dataloader, model=model, device=device)\\n print(\\\"EVAL: micro F1 %.3f\\\"%(f1_dev))\\n \\n\\n print(\\\" Training and validation took in total: {:}\\\".format(format_time(time.time()-track_time)))\\n\\n # EVALUATION: TEST SYN SET\\n pred_bools_syn, true_bools_syn, f1_test_syn = eval_multilabel(\\n test_syn_dataloader, model=model, device=device)\\n print(\\\"TEST SYN: micro F1 %.4f\\\"%(f1_test_syn))\\n\\n # classification report\\n clf_report_syn = classification_report(true_bools_syn, pred_bools_syn, target_names=cats, digits=3)\\n print(clf_report_syn)\\n\\n\\n # EVALUATION: TEST DIA SET\\n pred_bools_dia, true_bools_dia, f1_test_dia = eval_multilabel(\\n test_dia_dataloader, model=model, device=device\\n )\\n print(\\\"TEST DIA: micro F1 %.4f\\\"%(f1_test_dia))\\n\\n # classification report\\n clf_report_dia = classification_report(true_bools_dia, pred_bools_dia, target_names=cats, digits=3)\\n print(clf_report_dia)\\n \\n if args.save_cr:\\n pickle.dump(clf_report_syn, open(args.output_path+'clf_report_'+args.lang_model+'_test_syn_'+str(num_labels)+end+'.txt','wb'))\\n pickle.dump(clf_report_dia, open(args.output_path+'clf_report_'+args.lang_model+'_test_dia_'+str(num_labels)+end+'.txt','wb'))\\n\\n\\n if args.save_prediction:\\n test_syn_df[\\\"category_pred\\\"] = pred_bools_syn\\n test_dia_df[\\\"category_pred\\\"] = pred_bools_dia\\n test_syn_df.category_pred.to_csv(args.output_path+args.lang_model+'_test_syn_'+str(num_labels)+end+\\\".tsv\\\", \\n sep=\\\"\\\\t\\\", index = False, header = True, encoding = \\\"utf-8-sig\\\")\\n test_dia_df.category_pred.to_csv(args.output_path+args.lang_model+'_test_dia_'+str(num_labels)+end+\\\".tsv\\\", \\n sep=\\\"\\\\t\\\", index = False, header = True, encoding = \\\"utf-8-sig\\\")\",\n \"def test_basic_workflow(self):\\n\\n test_data_dir = os.path.join(os.path.dirname(__file__), 'testdata')\\n sys.path.append(test_data_dir)\\n import basic\\n tmpdir = tempfile.mkdtemp()\\n package_path = os.path.join(tmpdir, 'workflow.tar.gz')\\n try:\\n compiler.Compiler().compile(basic.save_most_frequent_word, package_path)\\n with open(os.path.join(test_data_dir, 'basic.yaml'), 'r') as f:\\n golden = yaml.load(f)\\n compiled = self._get_yaml_from_tar(package_path)\\n\\n self.maxDiff = None\\n # Comment next line for generating golden yaml.\\n self.assertEqual(golden, compiled)\\n finally:\\n # Replace next line with commented line for gathering golden yaml.\\n shutil.rmtree(tmpdir)\\n # print(tmpdir)\",\n \"def main():\\n\\n browser = initialize()\\n process_directory(browser, \\\"data\\\")\\n browser.close()\",\n \"def __init__(self, root_path):\\n self.root_path = root_path\\n # Immutable data entries\\n self.uid = None\\n self.commit_sha = None\\n self.timestamp = None\\n self.filename = None\\n self.comment = None\\n # Mutable data entries\\n self.train_data = {} # anything produced during training, epoch by epoch\\n self.val_data = {} # results of intermediate tests during training\\n self.test_data = {} # results of a test\\n self.model_files = [] # saved model parameters\\n self.custom_data = {} # whatever the user might like to save\\n # Load everything from the data file\\n if not self._create_flag:\\n self.deserialize()\",\n \"def run_min():\\n\\n # Takes the current path of the command line\\n cur_dir = os.getcwd()\\n os.chdir(cur_dir)\\n\\n parse = argparse.ArgumentParser(\\n description='httptesting HTTP(s) interface testing framework.',\\n prog='httptesting'\\n )\\n parse.add_argument(\\n \\\"-v\\\",\\n \\\"--version\\\",\\n action='version',\\n version=\\\"%(prog)s {}\\\".format(__version__),\\n help='Framework version.'\\n )\\n parse.add_argument(\\n \\\"-f\\\",\\n \\\"--file\\\",\\n nargs='+',\\n default='',\\n help='The file path; File absolute or relative path.'\\n )\\n parse.add_argument(\\n \\\"-d\\\",\\n \\\"--dir\\\",\\n default='',\\n help='The folder path; folder absolute or relative path.'\\n )\\n parse.add_argument(\\n \\\"-sp\\\",\\n \\\"--startproject\\\",\\n default='',\\n help='Generate test case templates.'\\n )\\n parse.add_argument(\\n \\\"-conf\\\",\\n \\\"--config\\\",\\n nargs=\\\"+\\\",\\n default='',\\n help='Basic setting of framework.'\\n )\\n parse.add_argument(\\n \\\"-har\\\",\\n default='',\\n help='Convert the har files to YAML. har file is *.har'\\n )\\n parse.add_argument(\\n \\\"-c\\\",\\n \\\"--convert\\\",\\n default='',\\n help='Convert the har files to YAML. YAML file is *.yaml'\\n )\\n\\n # Command line arguments are assigned to varibales.\\n args = parse.parse_args()\\n case_file = args.file\\n case_dir = args.dir\\n start_project = args.startproject\\n config = args.config\\n har = args.har\\n vert = args.convert\\n\\n # convert YAML.\\n _convert_case_to_yaml(vert)\\n\\n # Convert har files to YAML.\\n _convert_httphar_to_yaml(har)\\n\\n # Setting global var.\\n _parse_config(config)\\n\\n # False work.\\n _false_work(start_project)\\n\\n # Write file absolute path to file.\\n # Get the yaml file name and write to the queue.\\n\\n _get_file_yaml(case_file)\\n _get_dirs_case_yaml(case_dir)\\n # Began to call.\\n RunTestCase.invoke()\",\n \"def MainUserInterface():\\n print(\\\"---Shiva Govindaraju COEN 242 Assignment 1 --- Top K Words---\\\")\\n\\n runOption = int(input(\\\"Would you like to run the Generic Test or a Specific Test? (0 - Generic; 1 - Specific): \\\"))\\n \\n if runOption == 0:\\n print(runGenericTests())\\n\\n elif runOption == 1:\\n print(\\\"Running Specific Test.\\\")\\n \\n # Request for Input\\n filename = input(\\\"Which file would you like to run on?: \\\")\\n k = int(input(\\\"Set the number of words to output (k): \\\"))\\n shards = int(input(\\\"How many shards should be used? (Recommended [1, 5000]): \\\"))\\n \\n # Ensure Shard Count is within exepected values\\n while (shards > 5000 or shards < 1):\\n nsh = input(\\\"That shard-count is higher than recommended. Please input shard-count [1,5000]: \\\")\\n shards = int(nsh)\\n \\n #print(\\\"Current Total Memory: {} MB\\\".format(psutil.virtual_memory()[0] / 2.**20))\\n #print(\\\"Current Available Memory: {} MB\\\".format(psutil.virtual_memory()[1] / 2.**20))\\n #print(\\\"Current CPU Resource Percentage: {}\\\".format(psutil.cpu_percent(interval=None, percpu=True)))\\n print(\\\"Testing TopKWords w/ Shards on {} using {} shards.\\\".format(filename, shards))\\n print(\\\"Starting Test...\\\")\\n \\n # Execute the program\\n \\n start = time()\\n print(findTopKViaSharding(filename, k, shards))\\n end = time()\\n print(\\\"Test Complete.\\\")\\n \\n print(\\\"Total Time: {}\\\".format(end - start))\\n #print(\\\"Total CPU Usage Percentage: {}\\\".format(psutil.cpu_percent(interval=None, percpu=True)))\\n \\n elif runOption == 2:\\n # This option is for testing whether Sharding worked correctly or not\\n # It is not part of the code that is needed for submission, nor will it run without files I have not included in the submission\\n print(\\\"Sharding Test -- Not for general use\\\")\\n print(\\\"Confirm Sharding on Ulysses: {}\\\".format(confirmSharding(\\\"ulysses.txt\\\", 100)))\\n deleteShards()\\n #print(\\\"Confirm Sharding on Indonesia: {}\\\".format(confirmSharding(\\\"data_1gb.csv\\\", 5000)))\\n print(\\\"Confirm Sharding on Lorum: {}\\\".format(confirmSharding(\\\"simpleTest.txt\\\",10)))\\n deleteShards()\\n \\n else:\\n # Basic functionality tests from before I cleaned up the UI for giving the program inputs.\\n \\n print(\\\"OG Testing of basic functionality\\\")\\n print(\\\"Testing on Ulysses text\\\")\\n #print(findFLength(\\\"4300-0.txt\\\"))\\n start = time()\\n print(kMostFrequentWords(\\\"ulysses.txt\\\", 15))\\n end = time()\\n print(\\\"Total Time: {}\\\".format(end - start))\\n\\n print(\\\"Testing on Ulysses with Shards\\\")\\n print(\\\"Top 15 Words -- 10 Shards\\\")\\n start = time()\\n print(findTopKViaSharding(\\\"ulysses.txt\\\", 15, 10))\\n end = time()\\n print(\\\"Total Time: {}\\\".format(end - start))\\n\\n print(\\\"Testing TopKWords w/ Shards on Surya's 400MB\\\")\\n print(\\\"Top 15 Words -- 1024 Shards\\\")\\n start = time()\\n print(findTopKViaSharding(\\\"dataset-400MB.txt\\\", 15, 1024))\\n end = time()\\n print(\\\"Total Time: {}\\\".format(end - start))\",\n \"def run_task(data_dir, task_id):\\n print(\\\"Train and test for task %d ...\\\" % task_id)\\n\\n print(\\\"We are going to use this\\\")\\n \\n\\n # Parse data\\n train_files = glob.glob('%s/qa3_*_train.txt' % (data_dir, task_id))\\n test_files = glob.glob('%s/qa3_*_test.txt' % (data_dir, task_id))\\n\\n dictionary = {\\\"nil\\\": 0}\\n train_story, train_questions, train_qstory = parse_babi_task(train_files, dictionary, False)\\n test_story, test_questions, test_qstory = parse_babi_task(test_files, dictionary, False)\\n\\n general_config = BabiConfig(train_story, train_questions, dictionary)\\n\\n\\n # #### R: this line build a empty model to train\\n # memory, model, loss = build_model(general_config)\\n\\n # if general_config.linear_start:\\n # train_linear_start(train_story, train_questions, train_qstory, memory, model, loss, general_config)\\n # else:\\n # train(train_story, train_questions, train_qstory, memory, model, loss, general_config)\\n\\n\\n\\n # memory, model, loss = build_model(general_config)\\n\\n # this line\\n test(test_story, test_questions, test_qstory, memory, model, loss, general_config)\",\n \"def main():\\n \\n # 1. Learn a decision tree from the data in training.txt\\n print \\\"--Building trees--\\\"\\n train_examples = read_file('training.txt')\\n print(train_examples)\\n attrs = range(len(train_examples[0])-1)\\n rand_tree = decision_tree_learning(train_examples, attrs, use_gain=False)\\n gain_tree = decision_tree_learning(train_examples, attrs, use_gain=True)\\n print \\\"--Done building--\\\"\\n print\\n\\n # 2. Document the tree you got\\n print \\\"--Random tree--\\\"\\n print_tree(rand_tree)\\n print\\n print \\\"--Learn tree--\\\"\\n print_tree(gain_tree)\\n print\\n\\n # 3. Classify all examples in the test-set\\n test_examples = read_file('test.txt')\\n print \\\"--Testing random tree--\\\"\\n test(rand_tree, test_examples, attrs)\\n print\\n print \\\"--Testing information gain tree--\\\"\\n test(gain_tree, test_examples, attrs)\\n print \\\"--Done testings--\\\"\",\n \"def main():\\n # Step1: generate htmls\\n csv_data_path= \\\"./frontend/html_template_data/dataset.csv\\\"\\n html_template_path = \\\"./frontend/html_template_data/template.html\\\"\\n html_save_path = \\\"./frontend/html_files/\\\"\\n\\n generate_htmls(csv_data_path, html_template_path, html_save_path)\\n\\n # Step2: push htmls to Github\\n # push htmls to Github Pages, currently manual.\",\n \"def initUserFilesIfNeeded() -> None:\\n\\n # Create directories if they don't exist\\n for userFileDir in UserFileDirs.list():\\n os.makedirs(userFileDir, exist_ok=True)\\n\\n # Init preferences file\\n from frcpredict.ui import Preferences\\n Preferences.initFile()\",\n \"def make_submission_file(w, unused_features, filename=\\\"prediction.csv\\\"):\\n\\n # load test datasets\\n print_banner(\\\"7. Read test dataset from higgs-data/test.csv\\\") \\n test_y, test_x, ind = load_csv_data('higgs-data/test.csv')\\n\\n # Construct Matrix Output with values of one\\n y_pred = np.ones(len(test_y))\\n\\n # Split test dataset based\\n print_banner(\\\"8. Split the test dataset into 8 subsets\\\") \\n test_sets_x, _, indices = create_subsets(test_x, test_y)\\n\\n # Remove features of test datasets based on PRI_JET_NUM and DER_MASS_MMC\\n print_banner(\\\"9. Remove features in each test subset based on PRI_JET_NUM and DER_MASS_MMC\\\")\\n test_sets_x = remove_features(test_sets_x, unused_features) \\n\\n # Iterate through the test subsets with their models accordingly\\n print_banner(\\\"10. Predict each test subset using their corresponding model\\\") \\n for x, w, index in zip(test_sets_x, w, indices):\\n\\n # Perform z-score standardization and expand matrix features with logarithmic & polynomial & cross_term & square root basis function\\n stand_x = generate_features(x, 2, True, with_log=True, with_sqrt=True, cross_terms=True)\\n\\n # Get the prediction\\n y_pred[index] = predict_labels(w, stand_x)\\n\\n print_banner(\\\" Predicting subset: DONE\\\") \\n \\n # Creating submission file\\n print_banner(\\\"11. Making final submission file with csv format\\\") \\n create_csv_submission(ind, y_pred, filename)\",\n \"def run_workflow(EMBEDDING_BASE_PATH):\\n train_tweets_path, val_tweets_path, test_tweets_path, image_dataset = run_pre_workflow()\\n\\n input_images, train_tweets, val_tweets, test_tweets, glove_embeddings = replica_catalog(train_tweets_path, val_tweets_path, test_tweets_path, image_dataset, EMBEDDING_BASE_PATH)\\n\\n preprocess_tweets, preprocess_images, train_resnet, hpo_train_resnet, train_bilstm, hpo_train_bilstm, resnet_inference, bilstm_inference, late_fusion = transformation_catalog()\\n \\n sites_catalog()\\n\\n pegasus_properties()\\n \\n wf = Workflow('Crisis_Computing_Workflow')\\n\\n # --------------------------------------------------- TEXT PIPELINE ------------------------------------------------------ \\n\\n # Job 1: Preprocess tweets\\n preprocessed_train_tweets = File('preprocessed_train_tweets.csv')\\n preprocessed_val_tweets = File('preprocessed_val_tweets.csv')\\n preprocessed_test_tweets = File('preprocessed_test_tweets.csv')\\n \\n job_preprocess_tweets = [Job(preprocess_tweets) for i in range(3)]\\n job_preprocess_tweets[0].add_inputs(train_tweets)\\n job_preprocess_tweets[0].add_outputs(preprocessed_train_tweets)\\n job_preprocess_tweets[0].add_args('--filename', 'train_tweets.csv')\\n \\n job_preprocess_tweets[1].add_inputs(val_tweets)\\n job_preprocess_tweets[1].add_outputs(preprocessed_val_tweets)\\n job_preprocess_tweets[1].add_args('--filename', 'val_tweets.csv')\\n \\n job_preprocess_tweets[2].add_inputs(test_tweets)\\n job_preprocess_tweets[2].add_outputs(preprocessed_test_tweets)\\n job_preprocess_tweets[2].add_args('--filename', 'test_tweets.csv')\\n\\n\\n # Job 2: HPO Bi-LSTM\\n bilstm_best_params = File('best_bilstm_hpo_params.txt')\\n\\n job_hpo_train_bilstm = Job(hpo_train_bilstm)\\\\\\n .add_inputs(glove_embeddings, preprocessed_train_tweets, preprocessed_val_tweets, preprocessed_test_tweets)\\\\\\n .add_outputs(bilstm_best_params)\\\\\\n .add_args('--trials', BILSTM_NUM_TRIALS)\\n\\n\\n # Job 3: Train Bi-LSTM using best parameters from HPO study and output loss and accuracy curves\\n trained_bilstm_model = File('bilstm_final_model.h5') \\n bilstm_loss_curve = File('Loss_curve_bilstm.png')\\n bilstm_accuracy_curve = File('Accuracy_curve_bilstm.png')\\n\\n\\n job_train_bilstm = Job(train_bilstm)\\\\\\n .add_inputs(glove_embeddings, preprocessed_train_tweets, preprocessed_val_tweets, preprocessed_test_tweets, bilstm_best_params)\\\\\\n .add_outputs(bilstm_loss_curve, bilstm_accuracy_curve, trained_bilstm_model)\\\\\\n\\n\\n # Job 4: Run inference on best Bi-LSTM model to produce output on test dataset along with confusion matrix\\n bilstm_train_output_prob = File('bilstm_train_output.csv')\\n bilstm_test_output_prob = File('bilstm_test_output.csv')\\n bilstm_confusion_matrix = File('bilstm_confusion_matrix.png')\\n\\n job_bilstm_inference = Job(bilstm_inference)\\\\\\n .add_inputs(preprocessed_train_tweets, preprocessed_val_tweets, preprocessed_test_tweets, trained_bilstm_model)\\\\\\n .add_outputs(bilstm_train_output_prob, bilstm_test_output_prob, bilstm_confusion_matrix)\\n\\n\\n # --------------------------------------------------- IMAGE PIPELINE ------------------------------------------------------ \\n\\n \\n # Job 1: Preprocess images\\n prefix = \\\"resized_\\\"\\n job_preprocess_images = [Job(preprocess_images) for i in range(NUM_WORKERS)]\\n resized_images = split_preprocess_jobs(job_preprocess_images, input_images, prefix)\\n\\n # Job 2: HPO ResNet-50\\n resnet_best_params = File('best_resnet_hpo_params.txt')\\n\\n job_hpo_train_resnet = Job(hpo_train_resnet)\\\\\\n .add_inputs(*resized_images)\\\\\\n .add_args('--trials', RESNET_NUM_TRIALS)\\\\\\n .add_outputs(resnet_best_params)\\\\\\n .add_profiles(Namespace.PEGASUS, key=\\\"maxwalltime\\\", value=MAXTIMEWALL)\\n\\n\\n # Job 3: Train ResNet-50 using best parameters from HPO study and output loss and accuracy curves\\n trained_resnet_model = File('resnet_final_model.pth')\\n resnet_loss_curve = File('Loss_curve_resnet.png')\\n resnet_accuracy_curve = File('Accuracy_curve_resnet.png')\\n\\n job_train_resnet = Job(train_resnet)\\\\\\n .add_inputs(*resized_images, resnet_best_params)\\\\\\n .add_outputs(resnet_loss_curve, resnet_accuracy_curve, trained_resnet_model)\\\\\\n .add_profiles(Namespace.PEGASUS, key=\\\"maxwalltime\\\", value=MAXTIMEWALL)\\n\\n\\n # Job 4: Run inference on best ResNet-50 model to produce output on test dataset along with confusion matrix\\n resnet_train_output_prob = File('resnet_train_output.csv')\\n resnet_confusion_matrix = File('resnet_confusion_matrix.png')\\n resnet_test_output_prob = File('resnet_test_output.csv') \\n\\n job_resnet_inference = Job(resnet_inference)\\\\\\n .add_inputs(*resized_images, trained_resnet_model)\\\\\\n .add_outputs(resnet_train_output_prob, resnet_test_output_prob, resnet_confusion_matrix)\\n\\n \\n \\n # --------------------------------------------------- LATE FUSION ------------------------------------------------------ \\n\\n # Job 1: Late Fusion\\n confusion_matrix_MPC = File('late_fusion_MPC.png')\\n confusion_matrix_LR = File('late_fusion_LR.png')\\n confusion_matrix_MLP = File('late_fusion_MLP.png')\\n report_MLP = File('late_fusion_MLP.csv')\\n report_MPC = File('late_fusion_MPC.csv')\\n report_LR = File('late_fusion_LR.csv')\\n\\n job_late_fusion = Job(late_fusion)\\\\\\n .add_inputs(resnet_train_output_prob, resnet_test_output_prob, bilstm_train_output_prob, bilstm_test_output_prob)\\\\\\n .add_outputs(confusion_matrix_MPC, confusion_matrix_LR, confusion_matrix_MLP, report_MLP, report_MPC, report_LR)\\n\\n wf.add_jobs(*job_preprocess_tweets, *job_preprocess_images, job_bilstm_inference, job_hpo_train_bilstm, job_train_bilstm, job_hpo_train_resnet, job_train_resnet, job_resnet_inference, job_late_fusion)\\n\\n try:\\n wf.plan(submit=False, sites=[\\\"donut\\\"], output_sites=[\\\"donut\\\"], dir=\\\"submit\\\")\\n #wf.wait()\\n #wf.statistics()\\n except PegasusClientError as e:\\n print(e.output)\\n \\n #plot_workflow_graph(wf)\\n \\n return\",\n \"def test_execute_review_7(self):\\n review.execute_review(self.alchemist, self.test_dir,\\n self.review_test_dir.name,\\n s_report=True)\\n\\n self.assertTrue(self.review_test_dir.is_dir())\\n\\n summary_report_file = self.review_test_dir.joinpath(\\\"SummaryReport.txt\\\")\\n self.assertTrue(summary_report_file.is_file())\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.5892896","0.5865184","0.5749212","0.5715827","0.566875","0.56655097","0.5611292","0.55734986","0.5533466","0.5521134","0.54782826","0.5474354","0.54190505","0.5393382","0.53775716","0.5355639","0.53504","0.53474844","0.5336007","0.5317935","0.5317675","0.5308437","0.5307519","0.52509856","0.525018","0.5237872","0.5234599","0.52019626","0.51959145","0.5192091","0.5178875","0.51709783","0.51666707","0.51636326","0.51577735","0.51532274","0.515246","0.5147752","0.5137747","0.5127894","0.51263297","0.5125377","0.5113907","0.51108706","0.50977343","0.50959826","0.50924164","0.50918305","0.50851375","0.5075967","0.5072913","0.5070647","0.50622904","0.5050566","0.5050141","0.5049362","0.50443596","0.50404245","0.50380313","0.50361013","0.50339025","0.5031052","0.5027823","0.5026369","0.5022205","0.5011143","0.50079054","0.50035805","0.5003366","0.4999566","0.49888682","0.4987307","0.4984883","0.49845573","0.4982467","0.49790275","0.4973383","0.49675682","0.49660462","0.49635437","0.49559098","0.49527836","0.49473757","0.4946277","0.4928704","0.4912399","0.49121594","0.49107108","0.49079654","0.4902779","0.4902536","0.48969653","0.4896612","0.48941082","0.48923054","0.48875856","0.48809293","0.487692","0.48758048","0.48757735"],"string":"[\n \"0.5892896\",\n \"0.5865184\",\n \"0.5749212\",\n \"0.5715827\",\n \"0.566875\",\n \"0.56655097\",\n \"0.5611292\",\n \"0.55734986\",\n \"0.5533466\",\n \"0.5521134\",\n \"0.54782826\",\n \"0.5474354\",\n \"0.54190505\",\n \"0.5393382\",\n \"0.53775716\",\n \"0.5355639\",\n \"0.53504\",\n \"0.53474844\",\n \"0.5336007\",\n \"0.5317935\",\n \"0.5317675\",\n \"0.5308437\",\n \"0.5307519\",\n \"0.52509856\",\n \"0.525018\",\n \"0.5237872\",\n \"0.5234599\",\n \"0.52019626\",\n \"0.51959145\",\n \"0.5192091\",\n \"0.5178875\",\n \"0.51709783\",\n \"0.51666707\",\n \"0.51636326\",\n \"0.51577735\",\n \"0.51532274\",\n \"0.515246\",\n \"0.5147752\",\n \"0.5137747\",\n \"0.5127894\",\n \"0.51263297\",\n \"0.5125377\",\n \"0.5113907\",\n \"0.51108706\",\n \"0.50977343\",\n \"0.50959826\",\n \"0.50924164\",\n \"0.50918305\",\n \"0.50851375\",\n \"0.5075967\",\n \"0.5072913\",\n \"0.5070647\",\n \"0.50622904\",\n \"0.5050566\",\n \"0.5050141\",\n \"0.5049362\",\n \"0.50443596\",\n \"0.50404245\",\n \"0.50380313\",\n \"0.50361013\",\n \"0.50339025\",\n \"0.5031052\",\n \"0.5027823\",\n \"0.5026369\",\n \"0.5022205\",\n \"0.5011143\",\n \"0.50079054\",\n \"0.50035805\",\n \"0.5003366\",\n \"0.4999566\",\n \"0.49888682\",\n \"0.4987307\",\n \"0.4984883\",\n \"0.49845573\",\n \"0.4982467\",\n \"0.49790275\",\n \"0.4973383\",\n \"0.49675682\",\n \"0.49660462\",\n \"0.49635437\",\n \"0.49559098\",\n \"0.49527836\",\n \"0.49473757\",\n \"0.4946277\",\n \"0.4928704\",\n \"0.4912399\",\n \"0.49121594\",\n \"0.49107108\",\n \"0.49079654\",\n \"0.4902779\",\n \"0.4902536\",\n \"0.48969653\",\n \"0.4896612\",\n \"0.48941082\",\n \"0.48923054\",\n \"0.48875856\",\n \"0.48809293\",\n \"0.487692\",\n \"0.48758048\",\n \"0.48757735\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.5278558"},"document_rank":{"kind":"string","value":"23"}}},{"rowIdx":86787,"cells":{"query":{"kind":"string","value":"Compile the user submission CMakeLists.txt should be in the cwd"},"document":{"kind":"string","value":"def cpp_compile(threads=2):\n cmake_ret = subprocess.run([\"cmake\", \"../\"], encoding='utf-8', stdout=subprocess.PIPE, stderr=subprocess.PIPE)\n output = cmake_ret.stdout\n errors = cmake_ret.stderr\n\n output = \"\"\n errors = \"\"\n\n make_ret = subprocess.run([\"make\", f\"-j{threads}\"], encoding='utf-8', stdout=subprocess.PIPE, stderr=subprocess.PIPE)\n output = make_ret.stdout\n errors = make_ret.stderr\n return (make_ret.returncode == 0, errors if make_ret != 0 else None)"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def submit(user, user_file):\n user_job = '{\"localFile\" : \"userfile\", \"destFile\" : \"primes.py\"}'.replace(\n \"userfile\", user_file)\n run(['bash', 'submit.sh', user_file, user_job, user])","def build():\n\timport subprocess\n\tfrom os import listdir, getcwd\n\tfrom os.path import isfile, join\n\tonlyfiles = [f for f in listdir(getcwd()) if isfile(join(getcwd(), f))]\n\n\tif not 'requirements.txt' in onlyfiles:\n\t\traise SystemExit('File including depencencies not found. You will have to install them manually.')\n\n\tsubprocess.check_call([sys.executable, '-m', 'pip', 'install', '-r', 'requirements.txt'])\n\n\tprint('All dependencies installed successfully.\\nYou can run Simplex now!')","def build( c ):\n\n print(\"Building Please Respond...\")\n c.run( \"pyinstaller -y please_respond.py\" )","def build_reqs():\n requirements_path = Path.cwd() / \"src\" / \"requirements.in\"\n if not requirements_path.is_file():\n secho(\"No requirements.in found. Copying contents from requirements.txt...\")\n contents = (Path.cwd() / \"src\" / \"requirements.txt\").read_text()\n requirements_path.write_text(contents)\n python_call(\"piptools\", [\"compile\", str(requirements_path)])\n secho(\n (\n \"Requirements built! Please update requirements.in \"\n \"if you'd like to make a change in your project's dependencies, \"\n \"and re-run build-reqs to generate the new requirements.txt.\"\n )\n )","def submit():\n subtime = datetime.datetime.now()\n args = parse_args()\n \n # get the course's configuration\n with open(args.config) as cfgfile:\n cfg = json.load(cfgfile)\n \n # Confirm the correct directory\n wdir = os.getcwd()\n resp = input(\"The current directory is:\\n\\n\\t\" + wdir \n + \"\\n\\nIs this the directory you want to submit? (y/n): \")\n if resp not in [\"y\", \"Y\", \"yes\", \"Yes\", \"YES\"]:\n return\n \n # Get the assignment the student is submitting\n resp = \"\"\n while resp not in cfg[\"assignments\"]:\n resp = input(\"\\nSelect an assignment from the list:\\n\\n\\t\" \n + \"\\n\\t\".join(textwrap.wrap(\", \".join(cfg[\"assignments\"])))\n + \"\\n\\nAssignment: \")\n assignment = resp\n\n # Get the section to which the user wants to submit\n resp = \"\"\n desc = \"\\n\\t\".join([\"{:3}: {}\".format(key, cfg[\"sections\"][key][\"desc\"]) \n for key in cfg[\"sections\"].keys()])\n\n while resp not in cfg[\"sections\"].keys():\n resp = input(\"\\nSelect a section number from the list:\\n\\n\\t\" \n + desc + \"\\n\\nSection: \")\n section = cfg[\"sections\"][resp]\n\n # Collect the username and list of files to tar\n username = os.environ.get(\"USER\")\n files = glob.glob(\"*\")\n\n # Create the submission directory and copy in all the files\n submitdir = \"{}_{}_{}\".format(assignment, cfg[\"course\"], username)\n os.mkdir(submitdir)\n for f in files:\n shutil.copy(f, os.path.join(submitdir, f))\n\n # Create the archive, then delete the submission directory\n tarname = \"{}.{}.{}.{}.tgz\".format(\n assignment, cfg[\"course\"], username, int(time.time())\n )\n with tarfile.open(tarname, mode=\"w:gz\") as tar:\n tar.add(submitdir)\n shutil.rmtree(submitdir)\n\n # Build the email addresses\n domain = cfg[\"domain\"]\n faddr = \"{}@{}\".format(username, domain)\n taddr = \"{}@{}\".format(section[\"ta\"], domain)\n \n if \"cc\" in section:\n ccaddrs = [\"{}@{}\".format(netid, domain) for netid in section[\"cc\"]]\n else:\n ccaddrs = []\n\n if \"bcc\" in section:\n bccaddrs = [\"{}@{}\".format(netid, domain) for netid in section[\"bcc\"]]\n else:\n bccaddrs = []\n\n # Build the email headers\n msg = email.mime.multipart.MIMEMultipart()\n msg[\"From\"] = faddr\n msg[\"To\"] = taddr\n msg[\"Cc\"] = \", \".join(ccaddrs)\n msg[\"Subject\"] = \"{} submission for student {} in {}\".format(\n assignment, username, cfg[\"course\"]\n )\n\n # Build the attachment and compute a check sum\n attachment = email.mime.base.MIMEBase('application', 'octet-stream')\n with open(tarname, 'rb') as f:\n contents = f.read()\n chksum = hashlib.md5(contents).hexdigest()\n attachment.set_payload(contents)\n \n email.encoders.encode_base64(attachment)\n attachment.add_header(\"Content-Disposition\", \n \"attachment; filename={}\".format(tarname)\n )\n msg.attach(attachment)\n \n # Build and attach the message text\n msg.attach(email.mime.text.MIMEText(\n \"Submission from {}\\n\".format(username)\n + \"Course: {}\\n\".format(cfg[\"course\"])\n + \"Assignment: {}\\n\".format(assignment)\n + \"Time: {}\\n\".format(subtime.strftime(\"%m/%d/%Y %H:%M:%S\"))\n + \"MD5Sum: {}\\n\".format(chksum),\n \"plain\"))\n \n # Send the email\n server = smtplib.SMTP('localhost')\n server.sendmail(faddr, [taddr] + ccaddrs + bccaddrs, msg.as_string())\n server.quit()","def main():\n sandbox = create_sandbox()\n directory = download_package_to_sandbox(\n sandbox,\n 'https://pypi.python.org/packages/source/c/checkmyreqs/checkmyreqs-0.1.6.tar.gz'\n )\n print(directory)\n destroy_sandbox(sandbox)","def do_base_setup(run_as_user, branch, base_path, dist_path):\n #install some necessary base deps\n runcmd(\"apt-get update\")\n runcmd(\"apt-get -y install git-core software-properties-common python-software-properties build-essential ssl-cert\")\n runcmd(\"apt-get update\")\n #node-gyp building for insight has ...issues out of the box on Ubuntu... use Chris Lea's nodejs build instead, which is newer\n runcmd(\"apt-get -y remove nodejs npm gyp\")\n runcmd(\"add-apt-repository -y ppa:chris-lea/node.js\")\n runcmd(\"apt-get update\")\n runcmd(\"apt-get -y install nodejs\") #includes npm\n\n #Create xcp user (to run bitcoind, counterpartyd, counterblockd) if not already made\n try:\n pwd.getpwnam(USERNAME)\n except:\n logging.info(\"Creating user '%s' ...\" % USERNAME)\n runcmd(\"adduser --system --disabled-password --shell /bin/bash --group %s\" % USERNAME)\n \n #add the run_as_user to the xcp group\n runcmd(\"adduser %s %s\" % (run_as_user, USERNAME))\n \n #Check out counterpartyd-build repo under this user's home dir and use that for the build\n git_repo_clone(branch, \"counterpartyd_build\", \"https://github.com/CounterpartyXCP/counterpartyd_build.git\", run_as_user)","def build_step(self):\n run_cmd('./compile.sh', log_all=True, simple=True, log_ok=True)","def main():\n \n usage = \"\"\"usage: %prog [target]\nTargets :\n\tall\t\tCompile all projects in csunplugged directory\n\tindex\t\tCreate the index page\n\tdirectory\tCompile single project in csunplugged directory\n \"\"\"\n parser = optparse.OptionParser(usage)\n \n (options, args) = parser.parse_args()\n if not (len(args) == 1) :\n parser.error('incorrect number of arguments')\n \n if args[0]=='all' :\n build_all()\n \n elif args[0]=='index' :\n make_index_page()\n \n else :\n jsFile = args[0] + '.js'\n jsFilePath = os.path.join(csunpluggedPath, args[0], jsFile)\n if not os.path.exists(jsFilePath) :\n print 'Can not found ' + jsFilePath+'\\n' \n else :\n \tbuild(args[0])","def setup_prereqs():\n # Run the contrib download script -- easier that way\n gmp = os.path.join(flag_gcc_subdir, \"gmp\")\n if not os.path.exists(gmp):\n dochdir(flag_gcc_subdir)\n docmd(\"./contrib/download_prerequisites\")\n # Hack -- fix up gmp dir\n patch_gmp_configure()\n dochdir(\"..\")","def main() -> None:\n verify_pip_is_installed()\n print('Regenerating \"requirements.txt\" file...')\n install_python_dev_dependencies.compile_pip_requirements(\n 'requirements.in', 'requirements.txt')\n # Adds a note to the beginning of the 'requirements.txt' file to make sure\n # developers understand that they should not append or change this\n # autogenerated file.\n with utils.open_file(\n common.COMPILED_REQUIREMENTS_FILE_PATH, 'r+') as f:\n content = f.read()\n f.seek(0, 0)\n f.write(\n '# Developers: Please do not modify this auto-generated file. If\\n'\n '# you want to add, remove, upgrade, or downgrade libraries,\\n'\n '# please change the `requirements.in` file, and then follow\\n'\n '# the instructions there to regenerate this file.\\n' + content)\n\n mismatches = get_mismatches()\n if mismatches:\n _rectify_third_party_directory(mismatches)\n validate_metadata_directories()\n else:\n print(\n 'All third-party Python libraries are already installed correctly.')","def cmd_generate_requirements(): \n \n for env in ('dev', 'test'):\n source = Path(ROOT, \"requirements\", f\"{env}.txt\")\n target = Path(ROOT, \"requirements\", f\"{env}.in\")\n os.system(f\"pip-compile --output-file={source} {target}\")","def cmd_generate_requirements(): \n \n for env in ('dev', 'test'):\n source = Path(ROOT, \"requirements\", f\"{env}.txt\")\n target = Path(ROOT, \"requirements\", f\"{env}.in\")\n os.system(f\"pip-compile --output-file={source} {target}\")","def main():\n for key in UNSAFE_FLAGS:\n if key in os.environ:\n del os.environ[key]\n\n parser = argparse.ArgumentParser()\n parser.add_argument('--fcompiler', choices=['pgi', 'intel', 'gfortran'],\n help='Fortran compiler to use')\n parser.add_argument('--usecuda', help='whether to also compile CUDA implementation',\n action='store_true')\n parser.add_argument('--debug', help='use debug configuration when compiling fortran code',\n action='store_true')\n\n cmd_args = parser.parse_args()\n args = ['python', 'setup.py', 'build_ext', '--fcompiler=' + FCOMPILER_MAP[cmd_args.fcompiler]]\n if cmd_args.debug:\n args += ['--debug']\n if cmd_args.usecuda:\n args += ['--usecuda']\n args += ['build', 'bdist_wheel']\n\n proc = subprocess.Popen(['rm', '-rf', 'dist', 'build'])\n proc.wait()\n\n proc = subprocess.Popen(args)\n proc.wait()\n if proc.returncode != 0:\n print('ERROR! build process failed.')\n exit(1)\n\n wheels = glob.glob('./dist/*.whl')\n latest_wheel = max(wheels, key=os.path.getctime)\n\n proc = subprocess.Popen(['pip', 'install', latest_wheel, '--upgrade'])\n proc.wait()","def test_compile_all_user_projects(self):\n self.compile_all_sketches(COMPILE_TESTER_URL, '#user_projects tbody a',\n compile_type='sketch',\n iframe=True, project_view=True,\n create_report=True, logfile=COMPILE_TESTER_LOGFILE)","def do_base_setup(run_as_user, branch, base_path, dist_path):\n #change time to UTC\n runcmd(\"ln -sf /usr/share/zoneinfo/UTC /etc/localtime\")\n\n #install some necessary base deps\n runcmd(\"apt-get update\")\n runcmd(\"apt-get -y install git-core software-properties-common python-software-properties build-essential ssl-cert ntp runit\")\n \n #install node-js\n #node-gyp building has ...issues out of the box on Ubuntu... use Chris Lea's nodejs build instead, which is newer\n runcmd(\"apt-get -y remove nodejs npm gyp\")\n runcmd(\"add-apt-repository -y ppa:chris-lea/node.js\")\n runcmd(\"apt-get update\")\n runcmd(\"apt-get -y install nodejs\") #includes npm\n gypdir = None\n try:\n import gyp\n gypdir = os.path.dirname(gyp.__file__)\n except:\n pass\n else:\n runcmd(\"mv %s %s_bkup\" % (gypdir, gypdir))\n #^ fix for https://github.com/TooTallNate/node-gyp/issues/363\n\n #Create xcp user, under which the files will be stored, and who will own the files, etc\n try:\n pwd.getpwnam(USERNAME)\n except:\n logging.info(\"Creating user '%s' ...\" % USERNAME)\n runcmd(\"adduser --system --disabled-password --shell /bin/false --group %s\" % USERNAME)\n \n #Create xcpd user (to run counterpartyd, counterblockd, insight, bitcoind, nginx) if not already made\n try:\n pwd.getpwnam(DAEMON_USERNAME)\n except:\n logging.info(\"Creating user '%s' ...\" % DAEMON_USERNAME)\n runcmd(\"adduser --system --disabled-password --shell /bin/false --ingroup nogroup --home %s %s\" % (USER_HOMEDIR, DAEMON_USERNAME))\n \n #add the run_as_user to the xcp group\n runcmd(\"adduser %s %s\" % (run_as_user, USERNAME))\n \n #Check out counterpartyd-build repo under this user's home dir and use that for the build\n git_repo_clone(\"counterpartyd_build\", \"https://github.com/CounterpartyXCP/counterpartyd_build.git\",\n os.path.join(USER_HOMEDIR, \"counterpartyd_build\"), branch, for_user=run_as_user)\n\n #enhance fd limits for the xcpd user\n runcmd(\"cp -af %s/linux/other/xcpd_security_limits.conf /etc/security/limits.d/\" % dist_path)","def main():\n\n parser = argparse.ArgumentParser(description=\"generateTestStubs\")\n\n parser.add_argument(\"taskFile\",\n help=\"Path for assignment file.\")\n\n args = parser.parse_args()\n\n if not os.path.exists(args.taskFile):\n print(\"Task file does not exist.\")\n sys.exit(1)\n\n taskMgr = EEWebLPProject()\n taskMgr.initLP()\n\n #taskMgr.listProjects()\n #taskMgr.loadTree([\"project_id=8008922\"])\n tasks = taskMgr.getTasks([\"project_id=6890048\"],parent_id=8008922)\n\n fileByAssignee = taskMgr.getTaskOwners(args.taskFile)\n taskMgr.updateTaskOwners(fileByAssignee,tasks)","def start(context, project_name):\n\n gcc_version = '10-2020-q4-major-'\n os_extension = ''\n\n if platform.system() == 'Linux':\n if platform.machine() == 'x86_64':\n os_extension = 'x86_64-linux'\n else:\n os_extension = 'aarch64-linux'\n elif platform.system() == 'Darwin':\n os_extension = 'mac'\n elif platform.system() == 'Windows':\n os_extension = 'win32'\n\n final_branch_name = f'{gcc_version}{os_extension}'\n\n if not os_extension:\n click.secho(f'This system {platform.system()}:{platform.machine()} ' +\n 'is not supported for SJSU-Dev2 ', fg='red', bold=True)\n return -1\n\n click.secho(f'Creating project: {project_name}', fg='white', bold=True)\n Path(project_name).mkdir()\n\n click.echo(f' Creating \"{project_name}/.sj2\" directory')\n Path(f'{project_name}/.sj2').mkdir(exist_ok=True)\n Path(f'{project_name}/.sj2/reserved').touch(exist_ok=True)\n\n click.echo(f' Creating \"{project_name}/library\" directory')\n Path(f'{project_name}/library').mkdir(exist_ok=True)\n\n click.echo(f' Creating \"{project_name}/packages\" directory')\n Path(f'{project_name}/packages').mkdir(exist_ok=True)\n\n click.echo(f' Creating \"{project_name}/main.cpp\" source file')\n Path(f'{project_name}/main.cpp').write_text(BASIC_MAIN_CPP)\n\n click.echo('')\n\n context.invoke(install, library='libcore', tag='main',\n project_directory=project_name)\n context.invoke(install, library='libarmcortex',\n tag='main', project_directory=project_name)\n context.invoke(install, library='liblpc40xx', tag='main',\n project_directory=project_name)\n context.invoke(install, library='libstm32f10x',\n tag='main', project_directory=project_name)\n context.invoke(install, library='gcc-arm-none-eabi-picolibc',\n tag=final_branch_name, project_directory=project_name)","def main():\n\n if not os.environ.get('TRAVIS_PULL_REQUEST', 'false') == 'false':\n return\n\n git_config_setup()\n populate_source()\n build_and_deploy()","def main():\r\n\r\n # Init build folder\r\n\r\n print(\"Checking 'build' directory...\")\r\n\r\n if not os.path.isdir(BUILD_DIR_PATH):\r\n os.mkdir(BUILD_DIR_PATH)\r\n\r\n # Build resources\r\n\r\n print(\"Checking resources directory...\")\r\n\r\n if os.path.isdir(RESOURCES_DIR_PATH):\r\n print(\"Resources directory exists. Performing cleanup.\")\r\n shutil.rmtree(RESOURCES_DIR_PATH, ignore_errors=True)\r\n\r\n print(\"Building resources...\")\r\n\r\n shutil.copytree(\"resources/images\", IMAGES_DIR_PATH)\r\n\r\n # Build static page\r\n\r\n print(\"Building static page...\")\r\n\r\n os.chdir(BUILD_DIR_PATH)\r\n lib.fresh_tomatoes.open_movies_page(data.entertainment_center.MOVIES)\r\n\r\n print(\"Build complete!\")","def compile_project(project_name, project_revision, template, working_dir):\n tcl_file = \"compile_project.tcl\"\n with open(working_dir + tcl_file, \"w\") as compile_file:\n compile_file.write(template.add_quartus_compile_project(\n project_name, project_revision))\n\n log_msg = \"Compiling project\"\n cmd = f\"cd {working_dir} && {QUARTUS_BIN_DIR}quartus_sh -t {tcl_file}\"\n log_file_path = working_dir + \"compile_project.log\"\n\n run_cmd_and_log(cmd, log_msg, log_file_path)","def main():\n\n # get all repos a user has access to\n gh = Github(options.username, options.pat)\n user = gh.get_user()\n # filter for those under the user account\n userrepos = {\n repo.name : repo.git_url for repo in user.get_repos() \\\n if repo.git_url.startswith(\"git://github.com/\" + options.username)\n }\n # create a backup dir\n dirname = datetime.today().strftime(\"%Y%m%d-%H%M%S\")\n os.makedirs(\"./backup/\" + dirname)\n # clone all user repos\n for k, v in userrepos.items():\n url = \"https://\" + options.pat + \"@\" + v.removeprefix(\"git://\")\n subprocess.check_call([\n \"git\",\n \"clone\",\n url,\n \"./backup/\" + dirname + \"/\" + k\n ])","def task_build(argv):\n pytaskmaster.generator(\"setup.py.in\", \"setup.py\", config)\n pytaskmaster.generator(\"pytaskmaster/version.py.in\", \"pytaskmaster/version.py\", config)\n shell(\"python setup.py bdist_wheel\")\n if \"--sign\" in argv:\n for file in os.listdir(\"dist\"):\n asc_file = \"dist/\" + file + \".asc\"\n if file.endswith(\".whl\") and not os.path.isfile(asc_file):\n shell(\"gpg --detach-sign -a dist/{}\".format(file))","def run():\n print(\"clewsy CLEWs Model Building Script.\")\n print(\"When using clewsy please reference:\")\n print(\"T. Niet and A. Shivakumar (2020): clewsy: Script for building CLEWs models.\")\n main(sys.argv[1:])","def main():\n parser = argparse.ArgumentParser(description='pass in arguments for sending class reports.')\n parser.add_argument('credentials', help='credentials for accessing Classroom API')\n parser.add_argument('config', help='yaml config file for email configuration')\n \n \n args = parser.parse_args()\n name = input(\"Enter the student's name: \")\n print(\"Fetching coursework...\")\n fetch_coursework.main(args.credentials)\n print(\"Generating email body...\")\n generate_html.main(name)\n print(\"Sending email...\")\n send_email.main(args.config, name)\n print(\"Email successfully sent!\")","def build(working_directory=None, args=None):\n from .buildme import main\n if args is None:\n args = []\n return main(working_directory, args)","def main():\n parser = argparse.ArgumentParser()\n parser.add_argument('--file', '-f',\n type=argparse.FileType('r'),\n required=True)\n args = parser.parse_args()\n\n project_yaml = yaml.safe_load(args.file)\n\n # Get the release name from the file path\n release = os.path.split(os.path.dirname(args.file.name))[1]\n\n create_jobs(release, project_yaml)","def build():\n local('wintersmith build')","def main():\n # We know that qidoc build will set the correct cwd\n qibuild_dir = \"..\"\n qibuild_dir = os.path.abspath(qibuild_dir)\n this_file = __file__\n this_dir = os.path.dirname(this_file)\n cmake_api = os.path.join(this_dir, \"../source/advanced/cmake/api\")\n cmake_api = os.path.abspath(cmake_api)\n if not os.path.exists(cmake_api):\n os.makedirs(cmake_api)\n qibuild_cmake = os.path.join(qibuild_dir, \"cmake\", \"qibuild\")\n for filename in DOCUMENTED_FILES:\n cmake_file = os.path.join(qibuild_cmake, filename + \".cmake\")\n rst_file = os.path.join(cmake_api, filename + \".rst\")\n gen_cmake_doc(cmake_file, rst_file)","def main():\n # Step1: generate htmls\n csv_data_path= \"./frontend/html_template_data/dataset.csv\"\n html_template_path = \"./frontend/html_template_data/template.html\"\n html_save_path = \"./frontend/html_files/\"\n\n generate_htmls(csv_data_path, html_template_path, html_save_path)\n\n # Step2: push htmls to Github\n # push htmls to Github Pages, currently manual.","def compile(root, folder, filepathList):\n # Init param\n fpath = os.path.join(folder, \"current\")\n\n # YUIDoc don't need any exlude: vendor folder and min content are disable by default\n params = [\n \"yuidoc\",\n \"--outdir\", fpath,\n\t \"--themedir\", tmpl,\n root\n ]\n\n # Run everything (see launcher.py)\n launch(params)","def do_counterparty_setup(role, run_as_user, docker, branch, base_path, dist_path, run_mode, backend_rpc_password,\nbackend_rpc_password_testnet, counterpartyd_public, counterwallet_support_email):\n counterpartyd_rpc_password = '1234' if role == 'counterpartyd_only' and counterpartyd_public == 'y' else pass_generator()\n counterpartyd_rpc_password_testnet = '1234' if role == 'counterpartyd_only' and counterpartyd_public == 'y' else pass_generator()\n \n #Run setup.py (as the XCP user, who runs it sudoed) to install and set up counterpartyd, counterblockd\n # as -y is specified, this will auto install counterblockd full node (mongo and redis) as well as setting\n # counterpartyd/counterblockd to start up at startup for both mainnet and testnet (we will override this as necessary\n # based on run_mode later in this function)\n runcmd(\"~%s/counterpartyd_build/setup.py --noninteractive --branch=%s %s --with-testnet --for-user=%s %s\" % (\n USERNAME, branch, \"--with-bootstrap-db\" if not docker else '', USERNAME, '--with-counterblockd' if role != 'counterpartyd_only' else ''))\n runcmd(\"cd ~%s/counterpartyd_build && git config core.sharedRepository group && find ~%s/counterpartyd_build -type d -print0 | xargs -0 chmod g+s\" % (\n USERNAME, USERNAME)) #to allow for group git actions \n runcmd(\"chown -R %s:%s ~%s/counterpartyd_build\" % (USERNAME, USERNAME, USERNAME)) #just in case\n runcmd(\"chmod -R u+rw,g+rw,o+r,o-w ~%s/counterpartyd_build\" % USERNAME) #just in case\n \n #now change the counterpartyd directories to be owned by the xcpd user (and the xcp group),\n # so that the xcpd account can write to the database, saved image files (counterblockd), log files, etc\n runcmd(\"mkdir -p ~%s/.config/counterpartyd ~%s/.config/counterpartyd-testnet\" % (USERNAME, USERNAME)) \n runcmd(\"chown -R %s:%s ~%s/.config/counterpartyd ~%s/.config/counterpartyd-testnet\" % (\n DAEMON_USERNAME, USERNAME, USERNAME, USERNAME))\n runcmd(\"sed -ri \\\"s/USER=%s/USER=%s/g\\\" /etc/sv/counterpartyd/run /etc/sv/counterpartyd-testnet/run\" % (\n USERNAME, DAEMON_USERNAME))\n\n #modify the default stored bitcoind passwords in counterpartyd.conf\n modify_cp_config(r'^(backend|bitcoind)\\-rpc\\-password=.*?$',\n 'backend-rpc-password=%s' % backend_rpc_password, config='counterpartyd', net='mainnet', for_user=USERNAME)\n modify_cp_config(r'^(backend|bitcoind)\\-rpc\\-password=.*?$',\n 'backend-rpc-password=%s' % backend_rpc_password_testnet, config='counterpartyd', net='testnet', for_user=USERNAME)\n\n #modify the counterpartyd API rpc password in counterpartyd.conf\n modify_cp_config(r'^rpc\\-password=.*?$', 'rpc-password=%s' % counterpartyd_rpc_password,\n config='counterpartyd', net='mainnet', for_user=USERNAME)\n modify_cp_config(r'^rpc\\-password=.*?$', 'rpc-password=%s' % counterpartyd_rpc_password_testnet,\n config='counterpartyd', net='testnet', for_user=USERNAME)\n\n if role == 'counterpartyd_only' and counterpartyd_public == 'y':\n modify_cp_config(r'^rpc\\-host=.*?$', 'rpc-host=0.0.0.0', config='counterpartyd', for_user=USERNAME)\n \n #disable upstart scripts from autostarting on system boot if necessary\n if run_mode not in ['m', 'b']:\n runcmd(\"rm -f /etc/service/counterpartyd\")\n if run_mode not in ['t', 'b']:\n runcmd(\"rm -f /etc/service/counterpartyd-testnet\")\n \n if role != 'counterpartyd_only':\n #now change the counterblockd directories to be owned by the xcpd user (and the xcp group),\n runcmd(\"mkdir -p ~%s/.config/counterblockd ~%s/.config/counterblockd-testnet\" % (USERNAME, USERNAME)) \n runcmd(\"chown -R %s:%s ~%s/.config/counterblockd ~%s/.config/counterblockd-testnet\" % (\n DAEMON_USERNAME, USERNAME, USERNAME, USERNAME))\n runcmd(\"sed -ri \\\"s/USER=%s/USER=%s/g\\\" /etc/sv/counterblockd/run /etc/sv/counterblockd-testnet/run\" % (\n USERNAME, DAEMON_USERNAME))\n \n #modify the default stored bitcoind passwords in counterblockd.conf\n modify_cp_config(r'^(backend|bitcoind)\\-rpc\\-password=.*?$',\n 'backend-rpc-password=%s' % backend_rpc_password, config='counterblockd', net='mainnet', for_user=USERNAME)\n modify_cp_config(r'^(backend|bitcoind)\\-rpc\\-password=.*?$',\n 'backend-rpc-password=%s' % backend_rpc_password_testnet, config='counterblockd', net='testnet', for_user=USERNAME)\n \n #modify the counterpartyd API rpc password in counterblockd.conf\n modify_cp_config(r'^counterpartyd\\-rpc\\-password=.*?$',\n 'counterpartyd-rpc-password=%s' % counterpartyd_rpc_password, config='counterblockd', net='mainnet', for_user=USERNAME)\n modify_cp_config(r'^counterpartyd\\-rpc\\-password=.*?$',\n 'counterpartyd-rpc-password=%s' % counterpartyd_rpc_password_testnet, config='counterblockd', net='testnet', for_user=USERNAME)\n \n #role-specific counterblockd.conf values\n modify_cp_config(r'^auto\\-btc\\-escrow\\-enable=.*?$', 'auto-btc-escrow-enable=%s' %\n ('1' if role == 'btcpayescrow' else '0'), config='counterblockd', for_user=USERNAME)\n modify_cp_config(r'^armory\\-utxsvr\\-enable=.*?$', 'armory-utxsvr-enable=%s' % \n ('1' if role == 'counterwallet' else '0'), config='counterblockd', for_user=USERNAME)\n if role == 'counterwallet':\n modify_cp_config(r'^support\\-email=.*?$', 'support-email=%s' % counterwallet_support_email,\n config='counterblockd', for_user=USERNAME) #may be blank string\n\n #disable upstart scripts from autostarting on system boot if necessary\n if run_mode not in ['m', 'b']:\n runcmd(\"rm -f /etc/service/counterblockd\")\n if run_mode not in ['t', 'b']:\n runcmd(\"rm -f /etc/service/counterblockd-testnet\")","def build(ctx):\n generate_build_files(ctx)\n compile_build_files(ctx)\n _package_plugins(ctx)","def start_build(args):\n\n path = os.path.join(SCRATCH_DIR, args.project)\n \n # Set up virtual environment\n print(\"Setting up virtual python environment in %s\" % path)\n venv.create(path, clear=True, symlinks=True, with_pip=False)\n\n # Pull in repository data\n sourcepath = os.path.join(path, 'source')\n print(\"Cloning from git repository %s (branch: %s)\" % (args.source, args.sourcebranch))\n subprocess.run((GIT, 'clone', '--branch', args.sourcebranch, '--depth=1', '--no-single-branch', args.source, sourcepath),\n check=True)\n\n # Activate venv and install pips if needed. For dev/test, we will\n # assume that all requirements are available at the system level,\n # rather than needing to install them into the venv.\n ### note: this makes it difficult to test requirements.txt, but it\n ### will do for now. Debugging requirements.txt failures on the\n ### production buildbot is not difficult to correct.\n if IS_PRODUCTION and os.path.exists(os.path.join(sourcepath, 'requirements.txt')):\n print(\"Installing pips\")\n subprocess.run(('/bin/bash', '-c',\n 'source bin/activate; pip3 install -r source/requirements.txt'),\n cwd=path, check=True)\n else:\n print(\"On dev/test requirements.txt is not processed, skipping pip\")\n\n # Where are our tools?\n if IS_PRODUCTION:\n tool_dir = PELICANFILES\n else:\n tool_dir = THIS_DIR\n print(\"TOOLS:\", tool_dir)\n\n pelconf_yaml = os.path.join(sourcepath, AUTO_SETTINGS_YAML)\n if os.path.exists(pelconf_yaml):\n settings_path = os.path.join(path, AUTO_SETTINGS)\n if IS_PRODUCTION:\n builtin_plugins = PLUGINS\n else:\n builtin_plugins = os.path.join(tool_dir, os.pardir, 'plugins')\n generate_settings(pelconf_yaml, settings_path, [ builtin_plugins ], sourcepath)\n else:\n # The default name, but we'll pass it explicitly.\n settings_path = os.path.join(sourcepath, 'pelicanconf.py')\n\n # Set currently supported plugins\n ### this needs to be removed, as it is too indeterminate.\n with open(settings_path, 'a') as f:\n f.write(\"\"\"\ntry:\n PLUGINS += ['toc']\nexcept:\n PLUGINS = ['toc', 'gfm']\n\"\"\")\n\n # Call pelican\n buildpath = os.path.join(path, 'build/output')\n os.makedirs(buildpath, exist_ok = True)\n buildcmd = ('/bin/bash', '-c',\n 'source bin/activate; cd source && '\n ### note: adding --debug can be handy\n f'(pelican content --settings {settings_path} -o {buildpath})',\n )\n print(\"Building web site with:\", buildcmd)\n env = os.environ.copy()\n env['LIBCMARKDIR'] = LIBCMARKDIR\n subprocess.run(buildcmd, cwd=path, check=True, env=env)\n\n count = len(glob.glob(f'{buildpath}/**/*.html', recursive=True))\n print(f\"{count} html files.\")\n if args.count > 0 and args.count > count:\n print(\"Not enough html pages in the Web Site. Minimum %s > %s found in the Web Site.\" % (args.count, count))\n sys.exit(4)\n\n # Done for now\n print(\"Web site successfully generated!\")\n\n # It is much easier to do all the below, if we chdir()\n os.chdir(sourcepath)\n\n # Copy to result branch\n print(\"Copying web site to branch:\", args.outputbranch)\n\n try:\n subprocess.run((GIT, 'rev-parse', '--verify', \"origin/%s\" % args.outputbranch),\n check=True)\n print(\"- Doing fresh checkout of branch %s\" % args.outputbranch)\n subprocess.run((GIT, 'checkout', args.outputbranch, '-f'), check=True)\n subprocess.run((GIT, 'pull'), check=True)\n except:\n print(\"- Branch %s does not exist (yet), creating it...\" % args.outputbranch)\n # If .asf.yaml exists, which it should, make a copy of it in memory for later\n asfyml = os.path.join(sourcepath, '.asf.yaml')\n myyaml = None\n if os.path.exists(asfyml):\n myyaml = open(asfyml).read()\n subprocess.run((GIT, 'checkout', '--orphan', args.outputbranch), check=True)\n subprocess.run((GIT, 'rm', '-rf', '.'), check=True)\n # Add .asf.yaml back in if we found it.\n if myyaml:\n open(asfyml, \"w\").write(myyaml)\n subprocess.run((GIT, 'add', '.asf.yaml'), check=True)\n\n print(\"- Adding new content to branch\")\n # RM output dir if it already exists\n outputdir = os.path.join(sourcepath, 'output')\n if os.path.isdir(outputdir):\n print(\"Removing existing output dir %s\" % outputdir)\n shutil.rmtree(outputdir)\n shutil.move(buildpath, outputdir)\n subprocess.run((GIT, 'add', 'output/'), check=True)\n\n # Check if there are any changes.\n cp = subprocess.run((GIT, 'diff', '--cached', '--quiet'))\n if cp.returncode == 0:\n # There were no differences reported.\n print('Nothing new to commit. Ignoring this build.')\n else:\n print(\"- Committing to %s\" % args.source)\n subprocess.run((GIT, 'commit', '-m', 'Automatic Site Publish by Buildbot'), check=True)\n\n # If we're not in production, then avoid pushing changes.\n if IS_PRODUCTION:\n print('- Pushing changes, for publishing')\n subprocess.run((GIT, 'push', args.source, args.outputbranch), check=True)\n\n print('Success. Done.')\n # for dev/test provide viewing instructions\n if not IS_PRODUCTION:\n if args.listen:\n try:\n subprocess.run(('pelican','-l'), check=True)\n except KeyboardInterrupt:\n pass\n else:\n print(f'To test output:\\ncd {sourcepath}; pelican -l')","def compile_single(is_update):\n for task in ['pdflatex', 'bibtex', 'pdflatex', 'pdflatex']:\n subprocess.check_call(task + ' main', shell=True)\n shutil.move(\"main.pdf\", \"slides.pdf\")","def build(session: nox.Session) -> None:\n\n dist_dir = DIR.joinpath(\"dist\")\n if dist_dir.exists():\n shutil.rmtree(dist_dir)\n\n session.install(\".[dev]\")\n session.run(\"flit\", \"build\")","def Main(parsed_args):\n logging.basicConfig(\n format='[[%(filename)s %(funcName)s]] - %(message)s',\n level=(logging.ERROR if os.environ.get('CI') else logging.INFO))\n EnsureNodeJsIsInstalled()\n CheckPrereqs()\n InstallNodeDependencies()\n SetupOutDir(out_dir='dist')\n GenValidatorProtoascii(out_dir='dist')\n GenValidatorPb2Py(out_dir='dist')\n GenValidatorProtoGeneratedJs(out_dir='dist')\n GenValidatorGeneratedJs(out_dir='dist')\n CompileValidatorMinified(out_dir='dist')\n RunSmokeTest(out_dir='dist')\n RunIndexTest()\n CompileValidatorTestMinified(out_dir='dist')\n CompileHtmlparserTestMinified(out_dir='dist')\n CompileParseCssTestMinified(out_dir='dist')\n CompileParseUrlTestMinified(out_dir='dist')\n CompileAmp4AdsParseCssTestMinified(out_dir='dist')\n CompileKeyframesParseCssTestMinified(out_dir='dist')\n CompileParseSrcsetTestMinified(out_dir='dist')\n GenerateTestRunner(out_dir='dist')\n RunTests(update_tests=parsed_args.update_tests, out_dir='dist')","def build_all(c, name, path, force=False):\n print(40*\"-\")\n print(\" starting the build and check...\")\n print(40*\"-\")\n # genate the app\n if force:\n r=c.run(\"python generate_app.py -n {} -p {} -f\".format(name, path))\n else:\n r=c.run(\"python generate_app.py -n {} -p {}\".format(name, path))\n \n print(\" .. generated the PythonOnWheels app.\")\n # switch the current dir for invoke. every c.run starts from that dir.\n app_path=os.path.abspath(os.path.join(path, name))\n # create a venv\n if os.name == \"nt\":\n with c.cd(app_path):\n print(\" .. creating a virtualenv\")\n c.run(\"python -m venv ./venv\")\n print(\" .. Installing the PoW requirements\")\n c.run(\"cd ./venv/Scripts && pip.exe install -r {}\".format(\n os.path.normpath(os.path.join(\"..\\..\", \"requirements.txt\"))))\n elif os.name == \"posix\":\n with c.cd(app_path):\n print(\" .. creating a virtualenv\")\n c.run(\"python -m venv ./venv\")\n with c.cd(os.path.join(app_path, \"venv/bin\")):\n print(\" .. Installing the PoW requirements\")\n print(\"cwd: \" + c.cwd)\n #pipath= os.path.abspath(os.path.join(app_path, \"./venv/bin/pip\"))\n #print(\"venv pip path: {}\".format( pipath ))\n reqpath = os.path.normpath(os.path.join( app_path, \"requirements.txt\"))\n print(\"requirements.txt: {}\".format(reqpath))\n c.run(\"./pip install -r {}\".format( reqpath ))\n c.run(\"./pip freeze\")\n else:\n print(\"only posix and windows compatible OS are supported, sorry!\")\n sys.exit()\n test(c,path,name)\n runserver(c,path,name)","def piprot():\n cli_parser = argparse.ArgumentParser(\n epilog=\"Here's hoping your requirements are nice and fresh!\"\n )\n cli_parser.add_argument(\n \"-v\",\n \"--verbose\",\n action=\"store_true\",\n help=\"verbosity, can be supplied more than once \"\n \"(enabled by default, use --quiet to disable)\",\n )\n cli_parser.add_argument(\n \"-l\",\n \"--latest\",\n action=\"store_true\",\n help=\"print the lastest available version for out \" \"of date requirements\",\n )\n cli_parser.add_argument(\n \"-x\",\n \"--verbatim\",\n action=\"store_true\",\n help=\"output the full requirements file, with \"\n \"added comments with potential updates\",\n )\n cli_parser.add_argument(\n \"-q\",\n \"--quiet\",\n action=\"store_true\",\n help=\"be a little less verbose with the output \" \"(<0.3 behaviour)\",\n )\n cli_parser.add_argument(\n \"-o\", \"--outdated\", action=\"store_true\", help=\"only list outdated requirements\"\n )\n\n cli_parser.add_argument(\n \"-g\",\n \"--github\",\n help=\"Test the requirements from a GitHub repo. \"\n \"Requires that a `requirements.txt` file \"\n \"exists in the root of the repository.\",\n )\n\n cli_parser.add_argument(\n \"-b\",\n \"--branch\",\n help=\"The branch to test requirements from, used with \"\n \"the Github URL support.\",\n )\n\n cli_parser.add_argument(\n \"-t\",\n \"--token\",\n help=\"Github personal access token to be used with \" \"the Github URL support.\",\n )\n\n cli_parser.add_argument(\n \"-p\", \"--path\", help=\"Path to requirements file in remote repository.\"\n )\n\n cli_parser.add_argument(\n \"-d\",\n \"--delay\",\n help=\"Delay before an outdated package triggers an error.\"\n \"(in days, default to 1).\",\n )\n\n cli_parser.add_argument(\"-u\", \"--url\", help=\"URL to requirements file.\")\n\n # if there is a requirements.txt file, use it by default. Otherwise print\n # usage if there are no arguments.\n nargs = \"+\"\n\n if (\n \"--github\" in sys.argv\n or \"-g\" in sys.argv\n or \"-u\" in sys.argv\n or \"--url\" in sys.argv\n ):\n nargs = \"*\"\n\n default = None\n if os.path.isfile(\"requirements.txt\"):\n nargs = \"*\"\n default = [open(\"requirements.txt\")]\n\n cli_parser.add_argument(\n \"file\",\n nargs=nargs,\n type=argparse.FileType(),\n default=default,\n help=\"requirements file(s), use \" \"`-` for stdin\",\n )\n\n cli_args = cli_parser.parse_args()\n\n if len(cli_args.file) > 1 and cli_args.verbatim:\n sys.exit(\"--verbatim only allowed for single requirements files\")\n\n verbose = True\n if cli_args.quiet:\n verbose = False\n elif cli_args.verbatim:\n verbose = False\n\n # call the main function to kick off the real work\n main(\n req_files=cli_args.file,\n verbose=verbose,\n outdated=cli_args.outdated,\n latest=cli_args.latest,\n verbatim=cli_args.verbatim,\n repo=cli_args.github,\n branch=cli_args.branch,\n path=cli_args.path,\n token=cli_args.token,\n url=cli_args.url,\n delay=cli_args.delay,\n )","def main():\n # <<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<\n # ~~ Handles input arguments\n options = set_parser()\n\n # <<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<\n # ~~~~ Environment ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n update_config(options)\n version = CFGS.configs[CFGS.cfgname].get('version', 'trunk')\n\n # <<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<\n # ~~~~ banners ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n svn_banner(CFGS.get_root(), version)\n\n # <<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<\n # ~~~~ Works for all configurations unless specified ~~~~~~~~~~~~~~~\n # Checking if symlink is available\n if options.use_link and not check_sym_link(options.use_link):\n raise TelemacException(\\\n '\\nThe symlink option is only available on Linux systems. '\n 'Remove the option and try again')\n\n # <<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<\n # ~~~~ Forces not to use any Xwindows backend for Jenkins ~~~~~~~~~~\n if options.vnv_post:\n import matplotlib.pyplot as plt\n\n plt.switch_backend('agg')\n\n # <<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<\n # ~~~~ Reporting errors ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n xcpts = Messages()\n\n # ~~~~ Reporting summary ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n if options.notebook:\n type_valid = 'notebooks'\n else:\n type_valid = 'examples'\n\n report = Report(options.report_name, type_valid)\n\n # ~~~ Running validation\n cfg = config_corrections(options, CFGS.cfgname)\n\n if options.notebook:\n run_validation_notebooks(options, report, xcpts)\n else:\n run_validation_python(cfg, options, report, xcpts)\n\n # Writting report\n if options.report_name != '':\n report.write()\n\n # <<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<\n # ~~~~ Reporting errors ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n if xcpts.not_empty():\n print('\\n\\nHummm ... I could not complete my work.\\n'\n '{}\\n{}'.format('~' * 72, xcpts.except_messages()))\n sys.exit(1)\n\n # <<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<\n # ~~~~ Jenkins' success message ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n else:\n print('\\n\\nMy work is done\\n\\n')\n sys.exit(0)","def run():\n build_no_documentation()\n build_sphinx_build()\n #build_sphinx_pdf()\n build_graphviz_files()","def build():\n local('pelican -o {} -s pelicanconf.py'.format(env.deploy_path))","def setup():\n\n with cd(env.homedir):\n\n # clone repository from github\n sudo('git clone https://github.com/collective/demo.plone.de.git', user=env.deploy_user) # noqa: E501\n\n with cd(env.directory):\n\n # requirements\n # sudo('python python-dev build-essential zlib1g-dev libssl-dev libxml2-dev libxslt1-dev wv poppler-utils libtiff5-dev libjpeg62-dev zlib1g-dev libfreetype6-dev liblcms1-dev libwebp-dev') # noqa: E501\n\n # prepare buildout\n if env.latest:\n if env.python3:\n sudo('ln -s local_demo_nightly_py3.cfg local.cfg', user=env.deploy_user) # noqa: E501\n else:\n sudo('ln -s local_demo_nightly_py2.cfg local.cfg', user=env.deploy_user) # noqa: E501\n else:\n sudo('ln -s local_production.cfg local.cfg', user=env.deploy_user)\n sudo('echo -e \"[buildout]\\nlogin = admin\\npassword = admin\" > secret.cfg', user=env.deploy_user) # noqa: E501\n\n # bootstrap and run bildout once\n if env.latest:\n sudo('./bin/pip install --no-cache-dir -r https://raw.githubusercontent.com/plone/buildout.coredev/5.2/requirements.txt', user=env.deploy_user) # noqa: E501\n else:\n sudo('./bin/pip install --no-cache-dir -r https://raw.githubusercontent.com/starzel/buildout/5.2/requirements.txt', user=env.deploy_user) # noqa: E501\n sudo('./bin/buildout', user=env.deploy_user)\n\n # start supervisor which starts plone instance also\n sudo('./bin/supervisord', user=env.deploy_user)","def setup(ctx):\r\n ctx.run('pip3 install -r requirements.txt')","def submit(request):\n if not request.user.is_authenticated():\n return proceed(request)\n # If dev has already agreed, continue to next step.\n user = UserProfile.objects.get(pk=request.user.id)\n if not user.read_dev_agreement:\n return redirect('submit.app.terms')\n return manifest(request)","def main(type, project, author, email):\n while os.path.exists(project):\n click.echo('The project has been exists. Would you want to rebuild the project?\\n')\n click.echo('> {:<12}\\tfor\\tcontinue'.format('YES'))\n click.echo('> {:<12}\\tfor\\tbreak'.format('NO'))\n click.echo('> {:<12}\\tfor\\tbuilding another project\\n'.format('PROJECT NAME'))\n confirm_info = input('> ').strip().lower()\n if confirm_info == 'yes':\n shutil.rmtree(project)\n elif confirm_info == 'no':\n return\n else:\n project = confirm_info\n my_project = CreateNewProject(type, project, author, email)\n my_project.run()","def main(argv):\n parser = OptionParser()\n parser.add_option(\n \"--output-dir\",\n help=\"Output directory for generated files. Defaults to chromium root \"\n \"directory.\")\n parser.add_option(\n \"-v\", \"--verbose\", action=\"store_true\", help=\"Verbose logging output.\")\n parser.add_option(\n \"-c\", \"--check\", action=\"store_true\",\n help=\"Check if output files match generated files in chromium root \"\n \"directory. Use this in PRESUBMIT scripts with --output-dir.\")\n\n (options, _) = parser.parse_args(args=argv)\n\n # This script lives under src/gpu/command_buffer.\n script_dir = os.path.dirname(os.path.abspath(__file__))\n assert script_dir.endswith(os.path.normpath(\"src/gpu/command_buffer\"))\n # os.path.join doesn't do the right thing with relative paths.\n chromium_root_dir = os.path.abspath(script_dir + \"/../..\")\n\n # Support generating files under gen/ and for PRESUBMIT.\n if options.output_dir:\n output_dir = options.output_dir\n else:\n output_dir = chromium_root_dir\n os.chdir(output_dir)\n\n # This script lives under gpu/command_buffer, cd to base directory.\n build_cmd_buffer_lib.InitializePrefix(\"WebGPU\")\n gen = build_cmd_buffer_lib.GLGenerator(\n options.verbose, \"2018\", _FUNCTION_INFO, _NAMED_TYPE_INFO,\n chromium_root_dir)\n gen.ParseGLH(\"gpu/command_buffer/webgpu_cmd_buffer_functions.txt\")\n\n gen.WriteCommandIds(\"gpu/command_buffer/common/webgpu_cmd_ids_autogen.h\")\n gen.WriteFormat(\"gpu/command_buffer/common/webgpu_cmd_format_autogen.h\")\n gen.WriteFormatTest(\n \"gpu/command_buffer/common/webgpu_cmd_format_test_autogen.h\")\n gen.WriteGLES2InterfaceHeader(\n \"gpu/command_buffer/client/webgpu_interface_autogen.h\")\n gen.WriteGLES2ImplementationHeader(\n \"gpu/command_buffer/client/webgpu_implementation_autogen.h\")\n gen.WriteGLES2InterfaceStub(\n \"gpu/command_buffer/client/webgpu_interface_stub_autogen.h\")\n gen.WriteGLES2InterfaceStubImpl(\n \"gpu/command_buffer/client/webgpu_interface_stub_impl_autogen.h\")\n gen.WriteGLES2Implementation(\n \"gpu/command_buffer/client/webgpu_implementation_impl_autogen.h\")\n gen.WriteGLES2ImplementationUnitTests(\n \"gpu/command_buffer/client/webgpu_implementation_unittest_autogen.h\")\n gen.WriteCmdHelperHeader(\n \"gpu/command_buffer/client/webgpu_cmd_helper_autogen.h\")\n # Note: No gen.WriteServiceImplementation\n # Note: No gen.WriteServiceUnitTests\n gen.WriteServiceUtilsHeader(\n \"gpu/command_buffer/service/webgpu_cmd_validation_autogen.h\")\n gen.WriteServiceUtilsImplementation(\n \"gpu/command_buffer/service/\"\n \"webgpu_cmd_validation_implementation_autogen.h\")\n\n build_cmd_buffer_lib.Format(gen.generated_cpp_filenames, output_dir,\n chromium_root_dir)\n\n if gen.errors > 0:\n print(\"build_webgpu_cmd_buffer.py: Failed with %d errors\" % gen.errors)\n return 1\n\n check_failed_filenames = []\n if options.check:\n for filename in gen.generated_cpp_filenames:\n if not filecmp.cmp(os.path.join(output_dir, filename),\n os.path.join(chromium_root_dir, filename)):\n check_failed_filenames.append(filename)\n\n if len(check_failed_filenames) > 0:\n print('Please run gpu/command_buffer/build_webgpu_cmd_buffer.py')\n print('Failed check on autogenerated command buffer files:')\n for filename in check_failed_filenames:\n print(filename)\n return 1\n\n return 0","def main():\n parser = argparse.ArgumentParser()\n parser.add_argument('--corpus_dir', required=True)\n parser.add_argument('--feature_module', required=True)\n\n args = parser.parse_args()\n corpus_dir = args.corpus_dir\n feature_module = args.feature_module\n\n return build_file(corpus_dir, feature_module)","def make_submission(commit: CommitDetails):\n\n submitter, commit_id = commit.submitter, commit.commit_id\n\n subprocess.run(f\"git checkout --force {commit_id}\", shell=True, stdout=subprocess.DEVNULL,\n stderr=subprocess.DEVNULL, cwd=f\"{SUBS_DIR}/{submitter}/{ASSIGNMENT}\", check=True)\n\n submission_path = os.path.realpath(f\"{SUBS_DIR}/{submitter}/{ASSIGNMENT}\")\n subprocess.run(f\"./add_sub_manually.sh {submission_path}\", shell=True, check=False)","def main():\n parse = argparse.ArgumentParser(\n prog=\"Doctopus\",\n usage=\"\\ndoctopus project [-h] [-t {ziyan, chitu} ] [-v]\")\n parse.add_argument('project', help='project name', nargs='?')\n parse.add_argument('-t',\n '--target',\n choices=['ziyan', 'chitu'],\n default='ziyan',\n help='selelct the target, default ziyan')\n parse.add_argument('-v',\n '--version',\n action='version',\n default=None,\n version='%(prog)s {}'.format(version_))\n project = parse.parse_args().project\n target = parse.parse_args().target\n version = parse.parse_args().version\n\n if not project:\n parse.print_help()\n\n elif version:\n print(version)\n\n elif target == 'ziyan':\n make_ziyan(project)\n\n elif target == 'chitu':\n make_chitu(project)","def main():\n logger.info(\"Running main function...\")\n args = get_args()\n # rose suite default location\n if args.suite_dir:\n default_suite = args.suite_dir\n rose_config_template = os.path.join(default_suite, \"rose-suite.conf\")\n\n # get command line arguments\n recipe_files = args.recipe_files\n config_file = args.config_file\n main_dir = args.main_dir\n log_level = args.log_level\n\n # setup rose suite\n run_rose = _setup_work(rose_config_template, recipe_files,\n config_file, main_dir, default_suite, log_level)\n\n # submit to cylc\n if not args.no_submit:\n _run_suite(run_rose)","def build_and_deploy():\n\n with shell_env(TZ=_get_timezone()):\n _create_output_branch()\n _build_html()\n _git_commit_all()\n _git_push(_get_output_branch())","def build_essential(self):\n self.install_package(\"build-essential\")","def compile_code():\n pyc_cmd = \"python3 ../course/common/compiler.py \"\n\n with open('log.out', 'w+', encoding=\"utf-8\") as f:\n subprocess.call(shlex.split(pyc_cmd + './student/'), universal_newlines=True, stderr=f)\n f.seek(0)\n out_student = f.read()\n\n if out_student != \"\":\n rawhtml = rst.get_codeblock(\"\", out_student)\n feedback.set_global_result('failed')\n feedback.set_global_feedback(_(\"Your program does not compile: \\n \") + rawhtml + \"\\n\")\n sys.exit(0)","def mail(ui, repo, *pats, **opts):\n\tcl, err = CommandLineCL(ui, repo, pats, opts)\n\tif err != \"\":\n\t\treturn err\n\tcl.Upload(ui, repo, gofmt_just_warn=True)\n\tif not cl.reviewer:\n\t\treturn \"no reviewers listed in CL\"\n\tpmsg = \"Hello \" + JoinComma(cl.reviewer)\n\tif cl.cc:\n\t\tpmsg += \" (cc: %s)\" % (', '.join(cl.cc),)\n\tpmsg += \",\\n\"\n\tpmsg += \"\\n\"\n\tpmsg += \"I'd like you to review the following change.\\n\"\n\tPostMessage(cl.name, pmsg, send_mail=\"checked\", subject=cl.Subject())","def ci(session):\n session.install('-rrequirements-dev.txt')\n session.install('-e', '.')\n run_sphinx(session)\n run_yapf(session, True)\n run_all_linters(session)\n run_pytest_units(session)\n run_pytest_integrations(session)","def main() -> None:\n if sys.version_info < (3, 6):\n logging.error(\"swift-sharing-request requires >= python3.6\")\n sys.exit(1)\n run_server_devel(init_server())","def build_virtualenv():\n\n puts(yellow(\"Install dependencies from requirements.txt\"))\n with cd(env.source_dir):\n with prefix('source %s' % in_rwd('bin/activate')):\n sudo('pip install -r %s' % env.requirements_file,\n user=env.app_user)\n sudo('python setup.py develop', user=env.app_user)","def project():","def project():","def project():","def build(ctx: typer.Context):\n from .tasks import build, main\n\n sys.argv = sys.argv[:1] + (ctx.args or [\"list\"])\n main(vars(build))","def task_prepare_build():\n\n import sys\n\n python_path = sys.executable.split(os.sep)\n venv_path = str(Path(os.sep.join(python_path[:-2])))\n\n def get_dst_path():\n import platform\n\n print(f\"Going on with {venv_path} as the virtual environment exclusively used for using pyinstaller.\")\n arch = platform.system()\n if arch == \"Windows\":\n return Path(venv_path) / \"Lib/site-packages/mad_gui/qt_designer/build/\"\n if arch in [\"Linux\", \"Darwin\"]:\n python_dirs = os.listdir(Path(venv_path) / \"lib/\")\n warnings.warn(\n f\"dodo.py: Assuming your python 3.7 installation is in {Path(venv_path)}/lib/{python_dirs[0]}\"\n )\n return Path(venv_path) / \"lib\" / python_dirs[0] / \"site-packages/mad_gui/qt_designer/build/\"\n raise ValueError(\"What operating system is this?!\")\n\n def set_up_paths():\n if not os.path.exists(get_dst_path().parent):\n raise FileNotFoundError(\n \"Apparently mad_gui is not installed in this environemnt. Use `pip install . ` to do so.\"\n )\n dst_path = get_dst_path()\n os.makedirs(dst_path, exist_ok=True)\n\n def convert_ui_to_py():\n dst_path = get_dst_path()\n ui_files = [file for file in os.listdir(dst_path.parent) if \".ui\" in file]\n print(\"\\n\")\n for file in ui_files:\n print(f\"Converting from: {dst_path.parent}{os.sep}{file}\")\n print(f\"To: {dst_path}{os.sep}{file.split('.')[0]}.py\\n\")\n os.popen(f\"pyside2-uic -o {dst_path}{os.sep}{file.split('.')[0]}.py {dst_path.parent}{os.sep}{file}\")\n\n print(\n \"Info: These conversion should take place in the virutal environment you are going to use with \"\n \"pyinstaller.\"\n )\n\n return {\n \"actions\": [set_up_paths, convert_ui_to_py],\n \"verbosity\": 2,\n }","def main():\n print(\n \"\"\"\n\n ##########################################################\n # #\n # #\n # Compiling Colocalized Cyano Datasets #\n # #\n # #\n ##########################################################\n\n \n \"\"\"\n )\n cyanoFiles = glob.glob(f\"{COLOCALIZED_DIR}*.csv\")\n makedir(COMPILED_DIR)\n dfCompiled = pd.DataFrame({})\n for cyanoFile in cyanoFiles:\n print(f\"Compiling {cyanoFile}\")\n data = unify(cyanoFile)\n if len(dfCompiled ) < 1:\n dfCompiled = data\n else:\n dfCompiled = pd.concat([dfCompiled, data], ignore_index=True) \n dfCompiled.to_csv(f\"{COMPILED_DIR}compiled.csv\", index=False)","def setup_channel(channelPath):\n\n logging.info('Setting up resummation runner in\\n %s'%channelPath)\n\n try:\n misc.compile(cwd=channelPath, mode='fortran', job_specs = False)\n except:\n logging.error(\"Could not compile resummation runner in %s/%s\"%(channelPath))\n raise\n \n logging.info(' ... Done.')\n \n return subprocess.Popen([os.path.join(channelPath,'resum_driver')], \n stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=subprocess.PIPE, \n cwd=channelPath)","def main(args):\n utils.check_setuptools_version()\n opts = parse_args(args)\n make_sanity_checks(opts)\n opts = get_default_opts(opts['project'], **opts)\n create_project(opts)\n if opts['update'] and not opts['force']:\n note = \"Update accomplished!\\n\" \\\n \"Please check if your setup.cfg still complies with:\\n\" \\\n \"http://pyscaffold.readthedocs.org/en/v{}/configuration.html\"\n print(note.format(pyscaffold.__version__))","def _install():\n download_file='http://www.ipol.im/pub/art/2015/136/inpaint_8.tgz'\n tools.download_and_extract(download_file) \n this_file_path=os.path.dirname(__file__)\n subprocess.call(' mkdir build; cd build; cmake ..; make', shell=True,cwd=exec_folder)","def run_project_checks(sub: Submission, logger):\n\n project = sub.project\n codes = []\n found_submitter = False\n found_submitter_details = False\n\n # Contacts\n if not project.contacts:\n logger.error(\"No contacts found. At least one contact must be included.\")\n codes.append(\"PROJ-E01\")\n else:\n # Roles\n role_term = ontology_term(\"role\")\n allowed_roles = get_term_descendants(role_term[\"ontology\"], role_term[\"uri\"], logger)\n for i, c in enumerate(project.contacts):\n if c.roles:\n for r in c.roles:\n role_value = r.lower().rstrip()\n if role_value not in allowed_roles:\n logger.warning(\"Contact role \\\"{}\\\" is not an allowed term.\".format(role_value))\n codes.append(\"PROJ-E05\")\n elif role_value == \"submitter\":\n found_submitter = True\n if c.email and c.affiliation:\n found_submitter_details = True\n if not c.lastName:\n logger.error(\"A contact must have last name specified: {}.\".format(c))\n codes.append(\"PROJ-E02\")\n # At least one contact must have role \"submitter\"\n if not found_submitter:\n logger.error(\"At least one contact must have role \\\"submitter\\\".\")\n codes.append(\"PROJ-E03\")\n # At least one submitter contact needs email and affiliation\n if not found_submitter_details:\n logger.error(\"At least one contact with role \\\"submitter\\\" must have email and affiliation specified.\")\n codes.append(\"PROJ-E04\")\n\n # Format of PubMed ID and DOI\n if project.publications:\n for pub in project.publications:\n if pub.pubmedId:\n try:\n int(pub.pubmedId)\n except ValueError:\n logger.error(\"PubMed ID must be numerical. Got \\\"{}\\\".\".format(pub.pubmedId))\n codes.append(\"PROJ-E06\")\n if pub.doi:\n if not REGEX_DOI_FORMAT.match(pub.doi.rstrip()):\n logger.error(\"Publication DOI \\\"{}\\\" does not match expected pattern.\".format(pub.doi))\n codes.append(\"PROJ-E07\")\n\n # Release date\n if project.releaseDate:\n if not REGEX_DATE_FORMAT.match(project.releaseDate):\n logger.error(\"Release date \\\"{}\\\" is not in YYYY-MM-DD format.\".format(project.releaseDate))\n codes.append(\"PROJ-E09\")\n else:\n logger.error(\"No release date found. Project must have release date specified.\")\n codes.append(\"PROJ-E08\")\n\n return codes","def main():\r\n \r\n data_dir = Path.cwd().joinpath('OUTPUT')\r\n config_dir = Path.cwd().joinpath('CONFIG')\r\n \r\n # Load deduplicated comments\r\n data = utils.load(data_dir, 'student_comment_deduplicated')\r\n \r\n # Get the luis API url\r\n with open(config_dir.joinpath('luis_url.txt'), 'r') as f:\r\n luis_url = f.readline()\r\n \r\n request_api(\r\n data,\r\n luis_url,\r\n 1000,\r\n )","def _build_and_run_request(self, user, fields):\r\n req = self._request_factory.post(\r\n \"/submit_feedback\",\r\n data=fields,\r\n HTTP_REFERER=\"test_referer\",\r\n HTTP_USER_AGENT=\"test_user_agent\",\r\n REMOTE_ADDR=\"1.2.3.4\",\r\n SERVER_NAME=\"test_server\"\r\n )\r\n req.user = user\r\n return views.submit_feedback(req)","def main(_):\n\n if FLAGS.output_dir is not None:\n if not tf.gfile.Exists(FLAGS.output_dir):\n print('[INFO ]\\tOutput directory does not exist, creating directory: ' + os.path.abspath(FLAGS.output_dir))\n tf.gfile.MakeDirs(FLAGS.output_dir)\n \n evaluate()","def install_requirements():\n run_commands('pip install -r ./requirements/dev.txt')","def InstallPrereqs():\n #Collect the source for Cython and put in _deps/cython-master\n import urllib,zipfile\n print('getting cython sources')\n urllib.urlretrieve('https://github.com/cython/cython/archive/master.zip', filename = 'master.zip')\n with zipfile.ZipFile('master.zip', 'r') as myzip:\n myzip.extractall(path='_deps')\n os.remove('master.zip')\n for python_install in PYTHONVERSIONS:\n for cwd in ['_deps/cython-master']:\n print(subprocess.check_output([python_install, 'setup.py', 'install'], cwd = cwd))","def build():\n click.echo(\"start build your pelican project...\")\n # copy_mathjax(PUBLISHDIR)\n \n cmd = \"pelican {INPUTDIR} -o {PUBLISHDIR} -s {PUBLISHCONF}\".format(\n INPUTDIR=INPUTDIR,\n PUBLISHCONF=PUBLISHCONF,\n PUBLISHDIR=PUBLISHDIR\n )\n\n click.echo('start run cmd: {0}'.format(cmd))\n ret = subprocess.call(cmd, shell=True)\n\n click.echo('running result is:{0}'.format(ret))","def install():\n build()\n sh(\"%s setup.py develop\" % PYTHON)","def build_uwsgi(self, uwsgi_path):\n current_path = os.getcwd()\n profile = self.options.get(\"profile\", MARKER)\n\n if profile is MARKER:\n profile = '%s/buildconf/default.ini' % uwsgi_path\n elif not os.path.isabs(profile):\n # if the specified profile is not an absolute path, try\n # looking for it in the buildout folder first; otherwise,\n # look for it in the current directory\n buildout_dir_profile = '%s/buildconf/%s' % (uwsgi_path, profile)\n if os.path.isfile(buildout_dir_profile):\n profile = buildout_dir_profile\n else:\n profile = os.path.abspath(profile)\n\n # Change dir to uwsgi_path for compile.\n os.chdir(uwsgi_path)\n build_stdout = tempfile.TemporaryFile()\n try:\n # Build uWSGI. We don't use the Makefile, since it uses an\n # override variable (with :=) we cannot specify the\n # Python interpreter we want to use.\n subprocess.check_call([self.options.get('executable', sys.executable),\n os.path.join(uwsgi_path, 'uwsgiconfig.py'),\n '--build',\n profile],\n stdout=build_stdout)\n finally:\n # Change back to original path.\n os.chdir(current_path)\n\n if os.path.isfile(self.uwsgi_binary_path):\n os.unlink(self.uwsgi_binary_path)\n\n shutil.copy(os.path.join(uwsgi_path, \"uwsgi\"), self.uwsgi_binary_path)","def run(self) -> None:\n\n if sys.platform == \"mingw\":\n # build with MinGW for windows\n command = [\"./configure && make && make install\"]\n elif sys.platform in [\"win32\", \"win64\"]:\n # win32/64 users should install the PyAudio wheel or Conda package\n command = None\n else:\n # macos or linux\n command = [\"./configure && make\"]\n\n if command:\n # build PortAudio with system specific command\n subprocess.run(\n command,\n shell=True,\n check=True,\n cwd=\"spokestack/extensions/portaudio\",\n )\n # install PyAudio after PortAudio has been built\n subprocess.run(\n [sys.executable, \"-m\", \"pip\", \"install\", \"pyaudio\"],\n shell=True,\n check=True,\n )\n # run the normal build process\n build_py.run(self)","def tfrun(args, build_modules, build_workspace, build_env):\n\n # loop through each selected module(s) and apply the action as specified by user\n for m in build_modules:\n print(\"\\n\\n****************************************************************************\")\n print(\"Permforming action \\\"{0}\\\" for module {1}\".format(args.action, m))\n print(\"****************************************************************************\\n\\n\")\n run_module(args, m, build_workspace, build_env)","def main(unused_argv):\n make_dir(FLAGS.raw_dir)\n\n # Get paths of download/extracted training and evaluation files.\n print(\"Downloading data from source\")\n train_files = get_raw_files(FLAGS.raw_dir, constants.TRAIN_DATA_SOURCES)\n eval_files = get_raw_files(FLAGS.raw_dir, constants.EVAL_DATA_SOURCES)","def source(conf, cwd=None):\n if not cwd:\n cwd = \".\"\n\n if conf.endswith(\".git\"):\n proc = subprocess.Popen(\n [\"git\", \"clone\", conf, \".\"],\n cwd=cwd, stdout=sys.stdout, stderr=sys.stderr)\n proc.communicate()\n\n else:\n download(conf)\n\n # pkg = os.path.join(cwd, \"requirements.in\")\n # if os.path.exists(pkg):\n # proc = subprocess.Popen(\n # [\"pip-compile\", pkg], stdout=sys.stdout, stderr=sys.stderr)\n # proc.communicate()\n\n pkg = os.path.join(cwd, \"requirements.txt\")\n if os.path.exists(pkg):\n proc = subprocess.Popen(\n [\"pip\", \"install\", \"--exists-action\", \"i\", \"-r\", pkg],\n stdout=sys.stdout, stderr=sys.stderr)\n proc.communicate()","def run_distutils():\n from distutils.core import setup, Extension\n\n source_dir = os.getcwd()\n build_dir = Params.cmake_binary_dir\n \n gsched_module = Extension('_gsched',\n sources=[build_dir+'/gsched_wrap.c', \n build_dir+'/gsched.c'],\n include_dirs = [source_dir+'/include'],\n libraries = ['gsched'],\n extra_compile_args = ['-fPIC'],\n library_dirs = [build_dir, source_dir], \n \n )\n\n\n# sdf_seq_module = Extension('_sdf_seq',\n# sources=[source_dir+'/libgsched/sdf_seq_wrap.c',\n# source_dir+'/libgsched/sdf_seq.c'],\n# include_dirs = [source_dir+'/include'], \n #)\n \n \n setup(name='pygsched',\n version='1.0',\n description=\"Group Scheduling Python API bindings.\",\n url='http://www.ittc.ku.edu/kusp',\n package_dir={'': '.'},\n include_dirs = [source_dir+'/include'],\n ext_modules = [gsched_module],\n # sdf_seq_module],\n py_modules = ['gschedapi'],\n scripts = ['tools/gschedctrl',\n 'tools/gschedexec',\n 'tools/gschedpprint',\n 'tools/gschedsnapshot',\n 'tools/gschedsh',\n ],\n packages=['pygsched','pygsched.gsconsole']\n )\n pass","def build(ctx):\n if 'cicd' in run('hostname').stdout.strip():\n # Check if we are executing the task from an aws instance\n if requests.get('http://169.254.169.254/latest/meta-data/').status_code == 200:\n git_ref_source = os.environ.get('GIT_SOURCE_BRANCH')\n git_ref_target = os.environ.get('GIT_TARGET_BRANCH')\n run('git fetch --all')\n run('git checkout {}'.format(git_ref_target))\n\n \n tar_name = \"Frontend\"\n #'wordpress-{}-en_CA.tar.gz'.format(WORDPRESS_VERSION)\n #tar_file = open(tar_name, 'wb')\n #tar_file.write(wp_tar.content)\n #tar_file.close()\n\n #run('tar -xzf {}'.format(tar_name))\n \n # Download the postmedia source-code and patches/config\n #clone(git_ref_target, git_ref_source)\n\n # merge (if applicable) and create the release\n if git_ref_source:\n git_pr_id = os.getenv('GIT_PR_ID')\n github_util.put('repos/{}/{}/pulls/{}/merge'.format(GIT_ORG, GIT_REPO, git_pr_id), params={'merge_method': 'squash'})\n version = github_util.get_next_rc()\n github_util.set_release(target_commitish='master', tag=version, prerelease=True)\n build_type = 'release candidate'\n else:\n version = github_util.get_next_hf()\n github_util.set_release(git_ref_target, version)\n build_type = 'hotfix'\n\n # package and upload to S3\n author = os.environ.get('GIT_AUTHOR')\n notes = release_notes(version, author, git_ref_target, git_ref_source, build_type)\n tarball = package(notes, version)\n print(\"No upload to S3\")\n #upload(tarball, S3_BUCKET_STAGE)\n else:\n author = input('please enter your name for the release notes: ')\n\n valid_snapshot_name = False\n while not valid_snapshot_name:\n snapshot_name = input('please enter a name for your snapshot: ')\n snapshot_name = snapshot_name.lower()\n snapshot_name = re.sub('-', '_', snapshot_name)\n\n # domain sections cannot be longer than 63 characters, so snapshot\n # name cannot be longer than 26 (63 minus snapshot-20190128-1713-homesanddesign - 37)\n if (len(snapshot_name) <= 26):\n valid_snapshot_name = True\n else:\n print(\"{} is too long. Please enter a new snapshot name of 28 characters or less.\".format(snapshot_name))\n\n build_type = 'snapshot'\n \n version = '{}_{}_{}'.format(build_type, snapshot_name,\n datetime.datetime.now().strftime(\"%Y%m%d_%H%M\"))\n print(\"Building snapshot {}\".format(version))\n git_ref_target = 'master'\n git_ref_source = 'HEAD'\n notes = release_notes(version, author, git_ref_target, git_ref_source, build_type)\n os.chdir('/opt/')\n if os.path.exists(WORK_DIR):\n os.system('rm -rf {}'.format(WORK_DIR))\n os.mkdir(WORK_DIR)\n tarball = package(notes, version)\n print (\"No upload to S3\")\n #upload(tarball, S3_BUCKET_DEV)","def makeprojects(working_directory=None, args=None):\n from .__main__ import main\n if args is None:\n args = []\n return main(working_directory, args)","def setup():\n\n with cd(env.homedir):\n\n # clone repository from github\n sudo('git clone https://github.com/starzel/demo.starzel.de.git', user=env.deploy_user) # noqa: E501\n\n with cd(env.directory):\n\n # requirements\n # sudo('python python-dev build-essential zlib1g-dev libssl-dev libxml2-dev libxslt1-dev wv poppler-utils libtiff5-dev libjpeg62-dev zlib1g-dev libfreetype6-dev liblcms1-dev libwebp-dev') # noqa: E501\n\n # prepare buildout\n sudo('ln -s local_production.cfg local.cfg', user=env.deploy_user)\n sudo('echo -e \"[buildout]\\nlogin = admin\\npassword = admin\" > secret.cfg', user=env.deploy_user) # noqa: E501\n\n # bootstrap and run bildout once\n sudo('./bin/pip install -r requirements.txt', user=env.deploy_user)\n sudo('./bin/buildout', user=env.deploy_user)\n\n # start supervisor which starts plone instance also\n sudo('./bin/supervisord', user=env.deploy_user)","def main():\n if len(sys.argv) != 2:\n print('USAGE:\\tpython3 inoti_make.py <CONFIG_FILE>')\n exit(1)\n config = parse(sys.argv[1])\n listen_folders(config)","def main():\n\n options = get_options()\n\n cf.use_style(\"solarized\")\n if options[\"nocolor\"]:\n cf.disable()\n\n newline()\n header(\"Thumbor v%s (of %s)\" % (__version__, __release_date__))\n\n newline()\n print(\n \"Thumbor doctor will analyze your install and verify if everything is working as expected.\"\n )\n\n errors = check_modules()\n errors += check_compiled_extensions()\n errors += check_filters()\n errors += check_extensions()\n\n newline()\n\n if errors:\n print(cf.bold_red(\"😞 Oh no! We found some things that could improve... 😞\"))\n newline()\n print(\"\\n\".join([\"* %s\" % str(err) for err in errors]))\n newline()\n newline()\n print(\n cf.cyan(\n \"If you don't know how to fix them, please open an issue with thumbor.\"\n )\n )\n print(\n cf.cyan(\n \"Don't forget to copy this log and add it to the description of your issue.\"\n )\n )\n print(\"Open an issue at https://github.com/thumbor/thumbor/issues/new\")\n sys.exit(1)\n return\n\n print(cf.bold_green(\"🎉 Congratulations! No errors found! 🎉\"))","def build(ctx):\n ctx.run(\"vsce package\", replace_env=False)","def run():\n print('')\n\n abspath = os.path.abspath(__file__)\n dname = os.path.dirname(abspath)\n os.chdir('tools/' + CHANGEME_GITNAME)\n if sop.debug.lower() == 'y':\n comm.runCommand('python2 ' + program + ' -s ' + sop.ip + ' -d', 'ChangeMe')\n else:\n comm.runCommand('python2 ' + CHANGEME_GITRUN + ' -s ' + sop.ip, 'ChangeMe')\n os.chdir(dname)","def main():\n args = main_parse_args()\n\n log_dir = os.path.join(args.working_dir, args.logs_path)\n if not os.path.exists(log_dir):\n os.makedirs(log_dir)\n\n # if there are scheduled jobs, return\n job_status = get_status(args.chronos)\n if len(job_status['all']) > 0:\n print(\"Cannot begin build with pre-existing jobs on chronos!\")\n else:\n run_step(\"MYSQL\", False, args)\n run_step(\"REDIS\", False, args)\n wait_for_port(int(args.redis_port), args.redis_host)\n wait_for_port(int(args.mysql_port), args.mysql_host)\n run_step('SETUP', True, args)\n run_step('CHECK', True, args)\n run_step('IMPORT', True, args)\n run_step('EXPORT1', True, args)\n run_step('EXPORT2', True, args)\n print(\"KnowNet Pipeline Completed!\")","def main():\n # Parse command line arguments\n configfile = parse_arguments()\n # Parse config file\n (basedir, gituser, add_own_forks, forks, branches) = parse_config(configfile)\n # Check that base directory exists\n if not os.path.exists(basedir):\n raise Exception('Base directory {0} does not exist'.format(basedir))\n # Configure working directory\n workdir = setup_workdir(basedir)\n # Check out the code\n checkout_code(workdir, gituser, add_own_forks, forks, branches)\n print \"Location of code: {0}\".format(workdir)","def execute(self):\n\n self.__create_assets_directory()\n self.__create_datasets_directories()\n self.__create_structures_directories()\n\n self.logger.write_action_required(\"The repository specified in the readme file must be cloned in the path: \" +\n IMAGES_PATH)\n self.logger.write_action_required(\"Execute the command 'pip install -r requirements.txt' \")\n self.logger.write_info(\"Strategy executed successfully\")","def work_in_example_project(request):\n return chdir_in_and_out(request, LoslassaProject.EXAMPLE_PROJECT)","def main():\n\n parser = argparse.ArgumentParser(\n description='Convert collection of bibtex files to clean markdown script.')\n parser.add_argument('-i', '--input', nargs='+', required=False,\n help='Input bibtex files. Defaults to bib/*')\n parser.add_argument('-o', '--output', default='publications.md', required=False,\n help='Output markdown floadile.')\n args = parser.parse_args()\n\n # Build setup\n os.makedirs(BUILD_ROOT, exist_ok=True)\n build_dir = os.path.join(\n BUILD_ROOT,\n datetime.now().strftime(datetime.now().strftime('%Y_%m_%d_%H_%M_%S_%f')))\n os.makedirs(build_dir)\n\n # Find and merge all bibtex files\n input_files = args.input\n if input_files is None:\n input_files = [os.path.join(BIB_ROOT, f) for f in os.listdir(BIB_ROOT)\n if os.path.isfile(os.path.join(BIB_ROOT, f))]\n merge_file = merge_bibtex(input_files, build_dir)\n\n # Parse merged bibtex file with custom options\n parse_file = parse_bibtex(merge_file, build_dir)\n\n # Render bibtex to markdown\n render_file = render_bibtex(parse_file, build_dir, args.output)","def main(self):\n self.log = logging.getLogger()\n\n opts = self.options\n args = self.args\n if opts.debug:\n self.log.setLevel(logging.DEBUG)\n else:\n self.log.setLevel(logging.WARNING)\n if len(args) < 2 :\n self.log.error(\"Not enough arguments\")\n sys.exit(1)\n else :\n project = args[0].upper()\n version = args[1]\n\n # Connect to the ConfDB to update the platform\n self.mConfDB = SoftConfDB()\n\n buildtool = \"cmake\"\n if self.options.usecmt:\n if self.options.usecmake:\n raise Exception(\"Please specify one build system only\")\n buildtool = \"cmt\"\n \n if self.options.remove:\n self.mConfDB.unsetBuildTool(project, version)\n else:\n self.mConfDB.setBuildTool(project, version, buildtool)","def main():\n\n while 1:\n answer = input(\"Would you like replay the entire history of all commits in all submissions, \"\n \"or just submit the current version of submissions?\\n(full_history/current): \")\n if answer == \"full_history\":\n full_history = True\n break\n elif answer == \"current\":\n full_history = False\n break\n else:\n print(\"Error: unexpected value '{}'. Please choose one of (full_history/current)\")\n\n if not verify_submissions_valid():\n print(\"Errors must be corrected in test/submissions before testing can be run\")\n exit(1)\n\n if subprocess.run(\"python3.8 backend.py check_config\", shell=True, check=False).returncode != 0:\n print(\"Error with tournament configuration. Stopping testing\")\n exit(1)\n\n # Ensure tournament is online\n subprocess.run(\"python3.8 backend.py start_tournament\", shell=True, check=False)\n time.sleep(2)\n\n print()\n print(\"=========================\")\n commit_details = get_details_all_commits(full_history)\n print()\n commit_details = strip_unneeded_commits(commit_details)\n print(\"=========================\")\n print()\n\n i = 0\n for commit_detail in commit_details:\n i += 1\n print(f\"\\n({i}/{len(commit_details)}) {commit_detail}\")\n make_submission(commit_detail)","def main(\n req_in: str, req_pinned: str, tld: Optional[str], ignore: Optional[Iterable[str]]\n):\n print(\"Compiling requirements!\")\n if isinstance(ignore, str):\n ignore = [ignore]\n reqcompyle(\n Path(req_in),\n Path(req_pinned),\n Path(tld) if tld else None,\n [Path(i) for i in ignore] if ignore else None,\n )\n return 0","def build_code(self):\n if not path.isfile(path.join(self.tmpdir, 'requirements.txt')):\n return\n\n oldpwd = os.getcwd()\n os.chdir(self.tmpdir)\n\n call('pip install --requirement requirements.txt --target .'.split(' '))\n\n # We need to create a __init__.py per code directory without it.\n # This is required to not create a PYTHONPATH with all directories.\n #\n for (current_dir, directories, files) in os.walk('.', topdown=False):\n if current_dir.endswith('.dist-info'):\n # This is a python metadirectory, we can skip it\n continue\n namespacer = path.join(current_dir, '__init__.py')\n if not path.isfile(namespacer):\n print(\"Creating file {0}\".format(namespacer))\n with open(namespacer, 'w') as nmf:\n nmf.write('# File Generated by lambdamanager packager')\n\n os.chdir(oldpwd)","def compile_package(self):\n build_package = [\n self.mock,\n '--root=%s' % self.root,\n '--arch=%s' % self.arch,\n '--shell',\n '/build_package.sh',\n \n ]\n output, errors = self._run_command(build_package)","def run(self):\n self._make_lib_file_symbolic_links()\n self._copy_each_include_files_to_include_dir()\n self._make_dep_lib_file_sym_links_and_copy_include_files()\n self.setup_py.add_patchs_to_build_without_pkg_config(\n self.rpm.lib_dir, self.rpm.include_dir\n )\n self.setup_py.apply_and_save()\n self._build_and_install()","def main():\n\n ############################ variable settings #################################\n parser = argparse.ArgumentParser(description='Run Subtask C of GermEval 2017 Using Pre-Trained Language Model.')\n parser.add_argument('--seed', type=int, default=42, help='Random seed.')\n parser.add_argument('--lang_model', type=str, default='bert-base-german-dbmdz-uncased', help='The pre-trained language model.')\n parser.add_argument('--epochs', type=int, default=4, help='Number of epochs for training.')\n parser.add_argument('--lr', type=float, default=5e-5, help='The learning rate.')\n parser.add_argument('--max_len', type=int, default=256, help='The maximum sequence length of the input text.')\n parser.add_argument('--batch_size', type=int, default=32, help='Your train set batch size.')\n parser.add_argument('--df_path', type=str, default='./data/', help='The data directory.') \n parser.add_argument('--train_data', type=str, default='train_df_cat.tsv', help='The filename of the input train data.')\n parser.add_argument('--dev_data', type=str, default='dev_df_cat.tsv', help='The filename of the input development data.')\n parser.add_argument('--test_data1', type=str, default='test_syn_df_cat.tsv', help='The filename of the first input test data (synchronic).')\n parser.add_argument('--test_data2', type=str, default='test_dia_df_cat.tsv', help='The filename of the second input test data (diachronic).')\n parser.add_argument('--output_path', type=str, default='./output/subtaskC/', help='The output directory of the model and predictions.')\n parser.add_argument(\"--train\", default=True, action=\"store_true\", help=\"Flag for training.\")\n parser.add_argument(\"--save_prediction\", default=False, action=\"store_true\", help=\"Flag for saving predictions.\")\n parser.add_argument(\"--save_cr\", default=False, action=\"store_true\", help=\"Flag for saving confusion matrix.\")\n parser.add_argument(\"--exclude_general\", default=False, action=\"store_true\", help=\"Flag for excluding category Allgemein.\")\n parser.add_argument(\"--exclude_neutral\", default=False, action=\"store_true\", help=\"Flag for excluding neutral polarity.\")\n parser.add_argument(\"--exclude_general_neutral\", default=False, action=\"store_true\", help=\"Flag for excluding category Allgemein:neutral.\")\n args = parser.parse_args()\n ################################################################################\n set_all_seeds(args.seed)\n device, n_gpu = initialize_device_settings(use_cuda=True)\n \n # Load data\n train_df = pd.read_csv(args.df_path + args.train_data, delimiter = '\\t')\n dev_df = pd.read_csv(args.df_path + args.dev_data, delimiter = '\\t')\n test_syn_df = pd.read_csv(args.df_path + args.test_data1, delimiter = '\\t')\n test_dia_df = pd.read_csv(args.df_path + args.test_data2, delimiter = '\\t')\n \n # Create a tokenizer\n lower_case = False\n if args.lang_model[-7:] == \"uncased\":\n lower_case = True\n\n if args.lang_model[:4] == \"bert\":\n model_class = \"BERT\"\n tokenizer = BertTokenizer.from_pretrained(args.lang_model, do_lower_case=lower_case, max_length=args.max_len)\n \n if args.lang_model[:10] == \"distilbert\":\n model_class = \"DistilBERT\"\n tokenizer = DistilBertTokenizer.from_pretrained(args.lang_model, do_lower_case=lower_case, max_length=args.max_len)\n \n\n # get training features\n cats = train_df.columns[5:]\n end = \"full\"\n # exclude categories if required\n if (args.exclude_general):\n cats = [i for i in list(cats) if \"Allgemein\" not in i]\n end = \"excl_gen\"\n if (args.exclude_neutral):\n cats = [i for i in list(cats) if \"neutral\" not in i]\n end = \"excl_neu\"\n if (args.exclude_general_neutral):\n cats = [i for i in list(cats) if \"Allgemein:neutral\" not in i]\n end = \"excl_genneu\"\n \n num_labels = len(list(cats))\n\n # create one hot labels\n train_df['one_hot_labels'] = list(train_df[list(cats)].values)\n dev_df['one_hot_labels'] = list(dev_df[list(cats)].values)\n test_syn_df['one_hot_labels'] = list(test_syn_df[list(cats)].values)\n test_dia_df['one_hot_labels'] = list(test_dia_df[list(cats)].values)\n\n # retrieve sentences and labels\n df = pd.concat([train_df, dev_df])\n sentences = df.text.values\n labels = list(df.one_hot_labels.values) \n\n sentences_syn = test_syn_df.text.values\n labels_syn = list(test_syn_df.one_hot_labels.values)\n\n sentences_dia = test_dia_df.text.values\n labels_dia = list(test_dia_df.one_hot_labels.values)\n \n print(\"number of categories:\", len(list(cats)))\n\n # Tokenize all of the sentences and map the tokens to their word IDs. \n input_ids = [tokenizer.encode(sent, add_special_tokens=True, truncation=True, \n max_length=args.max_len) for sent in sentences]\n input_ids = pad_sequences(input_ids, maxlen=args.max_len, dtype=\"long\", \n value=0.0, truncating=\"post\", padding=\"post\")\n # Create attention masks\n attention_masks = [[int(token_id > 0) for token_id in sent] for sent in input_ids]\n \n # synchronic test data\n input_ids_syn = [tokenizer.encode(sent, add_special_tokens=True, truncation=True) for sent in sentences_syn]\n input_ids_syn = pad_sequences(input_ids_syn, maxlen=args.max_len, dtype=\"long\", \n value=0.0, truncating=\"post\", padding=\"post\")\n attention_masks_syn = [[int(token_id > 0) for token_id in sent] for sent in input_ids_syn]\n \n # diachronic test data\n input_ids_dia = [tokenizer.encode(sent, add_special_tokens=True, truncation=True) for sent in sentences_dia]\n input_ids_dia = pad_sequences(input_ids_dia, maxlen=args.max_len, dtype=\"long\", \n value=0.0, truncating=\"post\", padding=\"post\")\n attention_masks_dia = [[int(token_id > 0) for token_id in sent] for sent in input_ids_dia]\n\n # split train, dev\n train_inputs, train_labels, dev_inputs, dev_labels, train_masks, dev_masks = split_train_dev(\n train_df, dev_df, attention_masks, input_ids, labels)\n \n # transform to torch tensor\n train_inputs = torch.tensor(train_inputs)\n dev_inputs = torch.tensor(dev_inputs)\n\n train_labels = torch.tensor(train_labels)\n dev_labels = torch.tensor(dev_labels)\n\n train_masks = torch.tensor(train_masks)\n dev_masks = torch.tensor(dev_masks)\n\n test_syn_inputs = torch.tensor(input_ids_syn)\n test_syn_masks = torch.tensor(attention_masks_syn)\n test_syn_labels = torch.tensor(labels_syn)\n\n test_dia_inputs = torch.tensor(input_ids_dia)\n test_dia_masks = torch.tensor(attention_masks_dia)\n test_dia_labels = torch.tensor(labels_dia)\n\n # Create the DataLoader\n train_dataloader = create_dataloader(train_inputs, train_masks, \n train_labels, args.batch_size, train = True)\n\n dev_dataloader = create_dataloader(dev_inputs, dev_masks, \n dev_labels, args.batch_size, train = False)\n\n test_syn_dataloader = create_dataloader(test_syn_inputs, test_syn_masks, \n test_syn_labels, args.batch_size, \n train = False)\n\n test_dia_dataloader = create_dataloader(test_dia_inputs, test_dia_masks, \n test_dia_labels, args.batch_size, \n train = False)\n\n # Create model\n if args.train:\n if model_class == \"BERT\":\n config = BertConfig.from_pretrained(args.lang_model, num_labels=num_labels) \n config.hidden_dropout_prob = 0.1 \n model = BertForSequenceClassification.from_pretrained(\n args.lang_model,\n num_labels = num_labels,\n output_attentions = False,\n output_hidden_states = False\n )\n\n if model_class == \"DistilBERT\":\n config = DistilBertConfig.from_pretrained(args.lang_model, num_labels=num_labels) \n config.hidden_dropout_prob = 0.1 \n model = DistilBertForSequenceClassification.from_pretrained(\n args.lang_model,\n num_labels = num_labels,\n output_attentions = False,\n output_hidden_states = False\n )\n model.cuda()\n\n\n # Create an optimizer\n param_optimizer = list(model.named_parameters())\n no_decay = ['bias', 'LayerNorm.weight']\n optimizer_grouped_parameters = [\n {'params': [p for n, p in param_optimizer if not any(nd in n for nd in no_decay)],\n 'weight_decay_rate': 0.01},\n {'params': [p for n, p in param_optimizer if any(nd in n for nd in no_decay)],\n 'weight_decay_rate': 0.0}\n ]\n optimizer = AdamW(\n optimizer_grouped_parameters,\n lr=args.lr,\n eps = 1e-8\n )\n # Total number of training steps = number of batches * number of epochs\n total_steps = len(train_dataloader) * args.epochs\n # Create the learning rate scheduler\n scheduler = get_linear_schedule_with_warmup(\n optimizer,\n num_warmup_steps=0,\n num_training_steps=total_steps\n )\n \n # train model\n # Main Loop\n print(\"=================== Train ================\")\n print(\"##### Language Model:\", args.lang_model, \",\", \"learning rate:\", args.lr)\n print()\n\n track_time = time.time()\n # trange is a tqdm wrapper around the normal python range\n for epoch in trange(args.epochs, desc=\"Epoch\"):\n print(\"Epoch: %4i\"%epoch, dt.datetime.now())\n\n model, optimizer, scheduler, tr_loss = train_multilabel(\n train_dataloader=train_dataloader, \n model=model, \n device=device, \n optimizer=optimizer, \n scheduler=scheduler, \n num_labels=num_labels\n )\n # EVALUATION: TRAIN SET\n pred_bools_train, true_bools_train, f1_train = eval_multilabel(\n train_dataloader, model=model, device=device)\n print(\"TRAIN: micro F1 %.3f\"%(f1_train))\n \n # EVALUATION: DEV SET\n pred_bools_dev, true_bools_dev, f1_dev = eval_multilabel(\n dev_dataloader, model=model, device=device)\n print(\"EVAL: micro F1 %.3f\"%(f1_dev))\n \n\n print(\" Training and validation took in total: {:}\".format(format_time(time.time()-track_time)))\n\n # EVALUATION: TEST SYN SET\n pred_bools_syn, true_bools_syn, f1_test_syn = eval_multilabel(\n test_syn_dataloader, model=model, device=device)\n print(\"TEST SYN: micro F1 %.4f\"%(f1_test_syn))\n\n # classification report\n clf_report_syn = classification_report(true_bools_syn, pred_bools_syn, target_names=cats, digits=3)\n print(clf_report_syn)\n\n\n # EVALUATION: TEST DIA SET\n pred_bools_dia, true_bools_dia, f1_test_dia = eval_multilabel(\n test_dia_dataloader, model=model, device=device\n )\n print(\"TEST DIA: micro F1 %.4f\"%(f1_test_dia))\n\n # classification report\n clf_report_dia = classification_report(true_bools_dia, pred_bools_dia, target_names=cats, digits=3)\n print(clf_report_dia)\n \n if args.save_cr:\n pickle.dump(clf_report_syn, open(args.output_path+'clf_report_'+args.lang_model+'_test_syn_'+str(num_labels)+end+'.txt','wb'))\n pickle.dump(clf_report_dia, open(args.output_path+'clf_report_'+args.lang_model+'_test_dia_'+str(num_labels)+end+'.txt','wb'))\n\n\n if args.save_prediction:\n test_syn_df[\"category_pred\"] = pred_bools_syn\n test_dia_df[\"category_pred\"] = pred_bools_dia\n test_syn_df.category_pred.to_csv(args.output_path+args.lang_model+'_test_syn_'+str(num_labels)+end+\".tsv\", \n sep=\"\\t\", index = False, header = True, encoding = \"utf-8-sig\")\n test_dia_df.category_pred.to_csv(args.output_path+args.lang_model+'_test_dia_'+str(num_labels)+end+\".tsv\", \n sep=\"\\t\", index = False, header = True, encoding = \"utf-8-sig\")"],"string":"[\n \"def submit(user, user_file):\\n user_job = '{\\\"localFile\\\" : \\\"userfile\\\", \\\"destFile\\\" : \\\"primes.py\\\"}'.replace(\\n \\\"userfile\\\", user_file)\\n run(['bash', 'submit.sh', user_file, user_job, user])\",\n \"def build():\\n\\timport subprocess\\n\\tfrom os import listdir, getcwd\\n\\tfrom os.path import isfile, join\\n\\tonlyfiles = [f for f in listdir(getcwd()) if isfile(join(getcwd(), f))]\\n\\n\\tif not 'requirements.txt' in onlyfiles:\\n\\t\\traise SystemExit('File including depencencies not found. You will have to install them manually.')\\n\\n\\tsubprocess.check_call([sys.executable, '-m', 'pip', 'install', '-r', 'requirements.txt'])\\n\\n\\tprint('All dependencies installed successfully.\\\\nYou can run Simplex now!')\",\n \"def build( c ):\\n\\n print(\\\"Building Please Respond...\\\")\\n c.run( \\\"pyinstaller -y please_respond.py\\\" )\",\n \"def build_reqs():\\n requirements_path = Path.cwd() / \\\"src\\\" / \\\"requirements.in\\\"\\n if not requirements_path.is_file():\\n secho(\\\"No requirements.in found. Copying contents from requirements.txt...\\\")\\n contents = (Path.cwd() / \\\"src\\\" / \\\"requirements.txt\\\").read_text()\\n requirements_path.write_text(contents)\\n python_call(\\\"piptools\\\", [\\\"compile\\\", str(requirements_path)])\\n secho(\\n (\\n \\\"Requirements built! Please update requirements.in \\\"\\n \\\"if you'd like to make a change in your project's dependencies, \\\"\\n \\\"and re-run build-reqs to generate the new requirements.txt.\\\"\\n )\\n )\",\n \"def submit():\\n subtime = datetime.datetime.now()\\n args = parse_args()\\n \\n # get the course's configuration\\n with open(args.config) as cfgfile:\\n cfg = json.load(cfgfile)\\n \\n # Confirm the correct directory\\n wdir = os.getcwd()\\n resp = input(\\\"The current directory is:\\\\n\\\\n\\\\t\\\" + wdir \\n + \\\"\\\\n\\\\nIs this the directory you want to submit? (y/n): \\\")\\n if resp not in [\\\"y\\\", \\\"Y\\\", \\\"yes\\\", \\\"Yes\\\", \\\"YES\\\"]:\\n return\\n \\n # Get the assignment the student is submitting\\n resp = \\\"\\\"\\n while resp not in cfg[\\\"assignments\\\"]:\\n resp = input(\\\"\\\\nSelect an assignment from the list:\\\\n\\\\n\\\\t\\\" \\n + \\\"\\\\n\\\\t\\\".join(textwrap.wrap(\\\", \\\".join(cfg[\\\"assignments\\\"])))\\n + \\\"\\\\n\\\\nAssignment: \\\")\\n assignment = resp\\n\\n # Get the section to which the user wants to submit\\n resp = \\\"\\\"\\n desc = \\\"\\\\n\\\\t\\\".join([\\\"{:3}: {}\\\".format(key, cfg[\\\"sections\\\"][key][\\\"desc\\\"]) \\n for key in cfg[\\\"sections\\\"].keys()])\\n\\n while resp not in cfg[\\\"sections\\\"].keys():\\n resp = input(\\\"\\\\nSelect a section number from the list:\\\\n\\\\n\\\\t\\\" \\n + desc + \\\"\\\\n\\\\nSection: \\\")\\n section = cfg[\\\"sections\\\"][resp]\\n\\n # Collect the username and list of files to tar\\n username = os.environ.get(\\\"USER\\\")\\n files = glob.glob(\\\"*\\\")\\n\\n # Create the submission directory and copy in all the files\\n submitdir = \\\"{}_{}_{}\\\".format(assignment, cfg[\\\"course\\\"], username)\\n os.mkdir(submitdir)\\n for f in files:\\n shutil.copy(f, os.path.join(submitdir, f))\\n\\n # Create the archive, then delete the submission directory\\n tarname = \\\"{}.{}.{}.{}.tgz\\\".format(\\n assignment, cfg[\\\"course\\\"], username, int(time.time())\\n )\\n with tarfile.open(tarname, mode=\\\"w:gz\\\") as tar:\\n tar.add(submitdir)\\n shutil.rmtree(submitdir)\\n\\n # Build the email addresses\\n domain = cfg[\\\"domain\\\"]\\n faddr = \\\"{}@{}\\\".format(username, domain)\\n taddr = \\\"{}@{}\\\".format(section[\\\"ta\\\"], domain)\\n \\n if \\\"cc\\\" in section:\\n ccaddrs = [\\\"{}@{}\\\".format(netid, domain) for netid in section[\\\"cc\\\"]]\\n else:\\n ccaddrs = []\\n\\n if \\\"bcc\\\" in section:\\n bccaddrs = [\\\"{}@{}\\\".format(netid, domain) for netid in section[\\\"bcc\\\"]]\\n else:\\n bccaddrs = []\\n\\n # Build the email headers\\n msg = email.mime.multipart.MIMEMultipart()\\n msg[\\\"From\\\"] = faddr\\n msg[\\\"To\\\"] = taddr\\n msg[\\\"Cc\\\"] = \\\", \\\".join(ccaddrs)\\n msg[\\\"Subject\\\"] = \\\"{} submission for student {} in {}\\\".format(\\n assignment, username, cfg[\\\"course\\\"]\\n )\\n\\n # Build the attachment and compute a check sum\\n attachment = email.mime.base.MIMEBase('application', 'octet-stream')\\n with open(tarname, 'rb') as f:\\n contents = f.read()\\n chksum = hashlib.md5(contents).hexdigest()\\n attachment.set_payload(contents)\\n \\n email.encoders.encode_base64(attachment)\\n attachment.add_header(\\\"Content-Disposition\\\", \\n \\\"attachment; filename={}\\\".format(tarname)\\n )\\n msg.attach(attachment)\\n \\n # Build and attach the message text\\n msg.attach(email.mime.text.MIMEText(\\n \\\"Submission from {}\\\\n\\\".format(username)\\n + \\\"Course: {}\\\\n\\\".format(cfg[\\\"course\\\"])\\n + \\\"Assignment: {}\\\\n\\\".format(assignment)\\n + \\\"Time: {}\\\\n\\\".format(subtime.strftime(\\\"%m/%d/%Y %H:%M:%S\\\"))\\n + \\\"MD5Sum: {}\\\\n\\\".format(chksum),\\n \\\"plain\\\"))\\n \\n # Send the email\\n server = smtplib.SMTP('localhost')\\n server.sendmail(faddr, [taddr] + ccaddrs + bccaddrs, msg.as_string())\\n server.quit()\",\n \"def main():\\n sandbox = create_sandbox()\\n directory = download_package_to_sandbox(\\n sandbox,\\n 'https://pypi.python.org/packages/source/c/checkmyreqs/checkmyreqs-0.1.6.tar.gz'\\n )\\n print(directory)\\n destroy_sandbox(sandbox)\",\n \"def do_base_setup(run_as_user, branch, base_path, dist_path):\\n #install some necessary base deps\\n runcmd(\\\"apt-get update\\\")\\n runcmd(\\\"apt-get -y install git-core software-properties-common python-software-properties build-essential ssl-cert\\\")\\n runcmd(\\\"apt-get update\\\")\\n #node-gyp building for insight has ...issues out of the box on Ubuntu... use Chris Lea's nodejs build instead, which is newer\\n runcmd(\\\"apt-get -y remove nodejs npm gyp\\\")\\n runcmd(\\\"add-apt-repository -y ppa:chris-lea/node.js\\\")\\n runcmd(\\\"apt-get update\\\")\\n runcmd(\\\"apt-get -y install nodejs\\\") #includes npm\\n\\n #Create xcp user (to run bitcoind, counterpartyd, counterblockd) if not already made\\n try:\\n pwd.getpwnam(USERNAME)\\n except:\\n logging.info(\\\"Creating user '%s' ...\\\" % USERNAME)\\n runcmd(\\\"adduser --system --disabled-password --shell /bin/bash --group %s\\\" % USERNAME)\\n \\n #add the run_as_user to the xcp group\\n runcmd(\\\"adduser %s %s\\\" % (run_as_user, USERNAME))\\n \\n #Check out counterpartyd-build repo under this user's home dir and use that for the build\\n git_repo_clone(branch, \\\"counterpartyd_build\\\", \\\"https://github.com/CounterpartyXCP/counterpartyd_build.git\\\", run_as_user)\",\n \"def build_step(self):\\n run_cmd('./compile.sh', log_all=True, simple=True, log_ok=True)\",\n \"def main():\\n \\n usage = \\\"\\\"\\\"usage: %prog [target]\\nTargets :\\n\\tall\\t\\tCompile all projects in csunplugged directory\\n\\tindex\\t\\tCreate the index page\\n\\tdirectory\\tCompile single project in csunplugged directory\\n \\\"\\\"\\\"\\n parser = optparse.OptionParser(usage)\\n \\n (options, args) = parser.parse_args()\\n if not (len(args) == 1) :\\n parser.error('incorrect number of arguments')\\n \\n if args[0]=='all' :\\n build_all()\\n \\n elif args[0]=='index' :\\n make_index_page()\\n \\n else :\\n jsFile = args[0] + '.js'\\n jsFilePath = os.path.join(csunpluggedPath, args[0], jsFile)\\n if not os.path.exists(jsFilePath) :\\n print 'Can not found ' + jsFilePath+'\\\\n' \\n else :\\n \\tbuild(args[0])\",\n \"def setup_prereqs():\\n # Run the contrib download script -- easier that way\\n gmp = os.path.join(flag_gcc_subdir, \\\"gmp\\\")\\n if not os.path.exists(gmp):\\n dochdir(flag_gcc_subdir)\\n docmd(\\\"./contrib/download_prerequisites\\\")\\n # Hack -- fix up gmp dir\\n patch_gmp_configure()\\n dochdir(\\\"..\\\")\",\n \"def main() -> None:\\n verify_pip_is_installed()\\n print('Regenerating \\\"requirements.txt\\\" file...')\\n install_python_dev_dependencies.compile_pip_requirements(\\n 'requirements.in', 'requirements.txt')\\n # Adds a note to the beginning of the 'requirements.txt' file to make sure\\n # developers understand that they should not append or change this\\n # autogenerated file.\\n with utils.open_file(\\n common.COMPILED_REQUIREMENTS_FILE_PATH, 'r+') as f:\\n content = f.read()\\n f.seek(0, 0)\\n f.write(\\n '# Developers: Please do not modify this auto-generated file. If\\\\n'\\n '# you want to add, remove, upgrade, or downgrade libraries,\\\\n'\\n '# please change the `requirements.in` file, and then follow\\\\n'\\n '# the instructions there to regenerate this file.\\\\n' + content)\\n\\n mismatches = get_mismatches()\\n if mismatches:\\n _rectify_third_party_directory(mismatches)\\n validate_metadata_directories()\\n else:\\n print(\\n 'All third-party Python libraries are already installed correctly.')\",\n \"def cmd_generate_requirements(): \\n \\n for env in ('dev', 'test'):\\n source = Path(ROOT, \\\"requirements\\\", f\\\"{env}.txt\\\")\\n target = Path(ROOT, \\\"requirements\\\", f\\\"{env}.in\\\")\\n os.system(f\\\"pip-compile --output-file={source} {target}\\\")\",\n \"def cmd_generate_requirements(): \\n \\n for env in ('dev', 'test'):\\n source = Path(ROOT, \\\"requirements\\\", f\\\"{env}.txt\\\")\\n target = Path(ROOT, \\\"requirements\\\", f\\\"{env}.in\\\")\\n os.system(f\\\"pip-compile --output-file={source} {target}\\\")\",\n \"def main():\\n for key in UNSAFE_FLAGS:\\n if key in os.environ:\\n del os.environ[key]\\n\\n parser = argparse.ArgumentParser()\\n parser.add_argument('--fcompiler', choices=['pgi', 'intel', 'gfortran'],\\n help='Fortran compiler to use')\\n parser.add_argument('--usecuda', help='whether to also compile CUDA implementation',\\n action='store_true')\\n parser.add_argument('--debug', help='use debug configuration when compiling fortran code',\\n action='store_true')\\n\\n cmd_args = parser.parse_args()\\n args = ['python', 'setup.py', 'build_ext', '--fcompiler=' + FCOMPILER_MAP[cmd_args.fcompiler]]\\n if cmd_args.debug:\\n args += ['--debug']\\n if cmd_args.usecuda:\\n args += ['--usecuda']\\n args += ['build', 'bdist_wheel']\\n\\n proc = subprocess.Popen(['rm', '-rf', 'dist', 'build'])\\n proc.wait()\\n\\n proc = subprocess.Popen(args)\\n proc.wait()\\n if proc.returncode != 0:\\n print('ERROR! build process failed.')\\n exit(1)\\n\\n wheels = glob.glob('./dist/*.whl')\\n latest_wheel = max(wheels, key=os.path.getctime)\\n\\n proc = subprocess.Popen(['pip', 'install', latest_wheel, '--upgrade'])\\n proc.wait()\",\n \"def test_compile_all_user_projects(self):\\n self.compile_all_sketches(COMPILE_TESTER_URL, '#user_projects tbody a',\\n compile_type='sketch',\\n iframe=True, project_view=True,\\n create_report=True, logfile=COMPILE_TESTER_LOGFILE)\",\n \"def do_base_setup(run_as_user, branch, base_path, dist_path):\\n #change time to UTC\\n runcmd(\\\"ln -sf /usr/share/zoneinfo/UTC /etc/localtime\\\")\\n\\n #install some necessary base deps\\n runcmd(\\\"apt-get update\\\")\\n runcmd(\\\"apt-get -y install git-core software-properties-common python-software-properties build-essential ssl-cert ntp runit\\\")\\n \\n #install node-js\\n #node-gyp building has ...issues out of the box on Ubuntu... use Chris Lea's nodejs build instead, which is newer\\n runcmd(\\\"apt-get -y remove nodejs npm gyp\\\")\\n runcmd(\\\"add-apt-repository -y ppa:chris-lea/node.js\\\")\\n runcmd(\\\"apt-get update\\\")\\n runcmd(\\\"apt-get -y install nodejs\\\") #includes npm\\n gypdir = None\\n try:\\n import gyp\\n gypdir = os.path.dirname(gyp.__file__)\\n except:\\n pass\\n else:\\n runcmd(\\\"mv %s %s_bkup\\\" % (gypdir, gypdir))\\n #^ fix for https://github.com/TooTallNate/node-gyp/issues/363\\n\\n #Create xcp user, under which the files will be stored, and who will own the files, etc\\n try:\\n pwd.getpwnam(USERNAME)\\n except:\\n logging.info(\\\"Creating user '%s' ...\\\" % USERNAME)\\n runcmd(\\\"adduser --system --disabled-password --shell /bin/false --group %s\\\" % USERNAME)\\n \\n #Create xcpd user (to run counterpartyd, counterblockd, insight, bitcoind, nginx) if not already made\\n try:\\n pwd.getpwnam(DAEMON_USERNAME)\\n except:\\n logging.info(\\\"Creating user '%s' ...\\\" % DAEMON_USERNAME)\\n runcmd(\\\"adduser --system --disabled-password --shell /bin/false --ingroup nogroup --home %s %s\\\" % (USER_HOMEDIR, DAEMON_USERNAME))\\n \\n #add the run_as_user to the xcp group\\n runcmd(\\\"adduser %s %s\\\" % (run_as_user, USERNAME))\\n \\n #Check out counterpartyd-build repo under this user's home dir and use that for the build\\n git_repo_clone(\\\"counterpartyd_build\\\", \\\"https://github.com/CounterpartyXCP/counterpartyd_build.git\\\",\\n os.path.join(USER_HOMEDIR, \\\"counterpartyd_build\\\"), branch, for_user=run_as_user)\\n\\n #enhance fd limits for the xcpd user\\n runcmd(\\\"cp -af %s/linux/other/xcpd_security_limits.conf /etc/security/limits.d/\\\" % dist_path)\",\n \"def main():\\n\\n parser = argparse.ArgumentParser(description=\\\"generateTestStubs\\\")\\n\\n parser.add_argument(\\\"taskFile\\\",\\n help=\\\"Path for assignment file.\\\")\\n\\n args = parser.parse_args()\\n\\n if not os.path.exists(args.taskFile):\\n print(\\\"Task file does not exist.\\\")\\n sys.exit(1)\\n\\n taskMgr = EEWebLPProject()\\n taskMgr.initLP()\\n\\n #taskMgr.listProjects()\\n #taskMgr.loadTree([\\\"project_id=8008922\\\"])\\n tasks = taskMgr.getTasks([\\\"project_id=6890048\\\"],parent_id=8008922)\\n\\n fileByAssignee = taskMgr.getTaskOwners(args.taskFile)\\n taskMgr.updateTaskOwners(fileByAssignee,tasks)\",\n \"def start(context, project_name):\\n\\n gcc_version = '10-2020-q4-major-'\\n os_extension = ''\\n\\n if platform.system() == 'Linux':\\n if platform.machine() == 'x86_64':\\n os_extension = 'x86_64-linux'\\n else:\\n os_extension = 'aarch64-linux'\\n elif platform.system() == 'Darwin':\\n os_extension = 'mac'\\n elif platform.system() == 'Windows':\\n os_extension = 'win32'\\n\\n final_branch_name = f'{gcc_version}{os_extension}'\\n\\n if not os_extension:\\n click.secho(f'This system {platform.system()}:{platform.machine()} ' +\\n 'is not supported for SJSU-Dev2 ', fg='red', bold=True)\\n return -1\\n\\n click.secho(f'Creating project: {project_name}', fg='white', bold=True)\\n Path(project_name).mkdir()\\n\\n click.echo(f' Creating \\\"{project_name}/.sj2\\\" directory')\\n Path(f'{project_name}/.sj2').mkdir(exist_ok=True)\\n Path(f'{project_name}/.sj2/reserved').touch(exist_ok=True)\\n\\n click.echo(f' Creating \\\"{project_name}/library\\\" directory')\\n Path(f'{project_name}/library').mkdir(exist_ok=True)\\n\\n click.echo(f' Creating \\\"{project_name}/packages\\\" directory')\\n Path(f'{project_name}/packages').mkdir(exist_ok=True)\\n\\n click.echo(f' Creating \\\"{project_name}/main.cpp\\\" source file')\\n Path(f'{project_name}/main.cpp').write_text(BASIC_MAIN_CPP)\\n\\n click.echo('')\\n\\n context.invoke(install, library='libcore', tag='main',\\n project_directory=project_name)\\n context.invoke(install, library='libarmcortex',\\n tag='main', project_directory=project_name)\\n context.invoke(install, library='liblpc40xx', tag='main',\\n project_directory=project_name)\\n context.invoke(install, library='libstm32f10x',\\n tag='main', project_directory=project_name)\\n context.invoke(install, library='gcc-arm-none-eabi-picolibc',\\n tag=final_branch_name, project_directory=project_name)\",\n \"def main():\\n\\n if not os.environ.get('TRAVIS_PULL_REQUEST', 'false') == 'false':\\n return\\n\\n git_config_setup()\\n populate_source()\\n build_and_deploy()\",\n \"def main():\\r\\n\\r\\n # Init build folder\\r\\n\\r\\n print(\\\"Checking 'build' directory...\\\")\\r\\n\\r\\n if not os.path.isdir(BUILD_DIR_PATH):\\r\\n os.mkdir(BUILD_DIR_PATH)\\r\\n\\r\\n # Build resources\\r\\n\\r\\n print(\\\"Checking resources directory...\\\")\\r\\n\\r\\n if os.path.isdir(RESOURCES_DIR_PATH):\\r\\n print(\\\"Resources directory exists. Performing cleanup.\\\")\\r\\n shutil.rmtree(RESOURCES_DIR_PATH, ignore_errors=True)\\r\\n\\r\\n print(\\\"Building resources...\\\")\\r\\n\\r\\n shutil.copytree(\\\"resources/images\\\", IMAGES_DIR_PATH)\\r\\n\\r\\n # Build static page\\r\\n\\r\\n print(\\\"Building static page...\\\")\\r\\n\\r\\n os.chdir(BUILD_DIR_PATH)\\r\\n lib.fresh_tomatoes.open_movies_page(data.entertainment_center.MOVIES)\\r\\n\\r\\n print(\\\"Build complete!\\\")\",\n \"def compile_project(project_name, project_revision, template, working_dir):\\n tcl_file = \\\"compile_project.tcl\\\"\\n with open(working_dir + tcl_file, \\\"w\\\") as compile_file:\\n compile_file.write(template.add_quartus_compile_project(\\n project_name, project_revision))\\n\\n log_msg = \\\"Compiling project\\\"\\n cmd = f\\\"cd {working_dir} && {QUARTUS_BIN_DIR}quartus_sh -t {tcl_file}\\\"\\n log_file_path = working_dir + \\\"compile_project.log\\\"\\n\\n run_cmd_and_log(cmd, log_msg, log_file_path)\",\n \"def main():\\n\\n # get all repos a user has access to\\n gh = Github(options.username, options.pat)\\n user = gh.get_user()\\n # filter for those under the user account\\n userrepos = {\\n repo.name : repo.git_url for repo in user.get_repos() \\\\\\n if repo.git_url.startswith(\\\"git://github.com/\\\" + options.username)\\n }\\n # create a backup dir\\n dirname = datetime.today().strftime(\\\"%Y%m%d-%H%M%S\\\")\\n os.makedirs(\\\"./backup/\\\" + dirname)\\n # clone all user repos\\n for k, v in userrepos.items():\\n url = \\\"https://\\\" + options.pat + \\\"@\\\" + v.removeprefix(\\\"git://\\\")\\n subprocess.check_call([\\n \\\"git\\\",\\n \\\"clone\\\",\\n url,\\n \\\"./backup/\\\" + dirname + \\\"/\\\" + k\\n ])\",\n \"def task_build(argv):\\n pytaskmaster.generator(\\\"setup.py.in\\\", \\\"setup.py\\\", config)\\n pytaskmaster.generator(\\\"pytaskmaster/version.py.in\\\", \\\"pytaskmaster/version.py\\\", config)\\n shell(\\\"python setup.py bdist_wheel\\\")\\n if \\\"--sign\\\" in argv:\\n for file in os.listdir(\\\"dist\\\"):\\n asc_file = \\\"dist/\\\" + file + \\\".asc\\\"\\n if file.endswith(\\\".whl\\\") and not os.path.isfile(asc_file):\\n shell(\\\"gpg --detach-sign -a dist/{}\\\".format(file))\",\n \"def run():\\n print(\\\"clewsy CLEWs Model Building Script.\\\")\\n print(\\\"When using clewsy please reference:\\\")\\n print(\\\"T. Niet and A. Shivakumar (2020): clewsy: Script for building CLEWs models.\\\")\\n main(sys.argv[1:])\",\n \"def main():\\n parser = argparse.ArgumentParser(description='pass in arguments for sending class reports.')\\n parser.add_argument('credentials', help='credentials for accessing Classroom API')\\n parser.add_argument('config', help='yaml config file for email configuration')\\n \\n \\n args = parser.parse_args()\\n name = input(\\\"Enter the student's name: \\\")\\n print(\\\"Fetching coursework...\\\")\\n fetch_coursework.main(args.credentials)\\n print(\\\"Generating email body...\\\")\\n generate_html.main(name)\\n print(\\\"Sending email...\\\")\\n send_email.main(args.config, name)\\n print(\\\"Email successfully sent!\\\")\",\n \"def build(working_directory=None, args=None):\\n from .buildme import main\\n if args is None:\\n args = []\\n return main(working_directory, args)\",\n \"def main():\\n parser = argparse.ArgumentParser()\\n parser.add_argument('--file', '-f',\\n type=argparse.FileType('r'),\\n required=True)\\n args = parser.parse_args()\\n\\n project_yaml = yaml.safe_load(args.file)\\n\\n # Get the release name from the file path\\n release = os.path.split(os.path.dirname(args.file.name))[1]\\n\\n create_jobs(release, project_yaml)\",\n \"def build():\\n local('wintersmith build')\",\n \"def main():\\n # We know that qidoc build will set the correct cwd\\n qibuild_dir = \\\"..\\\"\\n qibuild_dir = os.path.abspath(qibuild_dir)\\n this_file = __file__\\n this_dir = os.path.dirname(this_file)\\n cmake_api = os.path.join(this_dir, \\\"../source/advanced/cmake/api\\\")\\n cmake_api = os.path.abspath(cmake_api)\\n if not os.path.exists(cmake_api):\\n os.makedirs(cmake_api)\\n qibuild_cmake = os.path.join(qibuild_dir, \\\"cmake\\\", \\\"qibuild\\\")\\n for filename in DOCUMENTED_FILES:\\n cmake_file = os.path.join(qibuild_cmake, filename + \\\".cmake\\\")\\n rst_file = os.path.join(cmake_api, filename + \\\".rst\\\")\\n gen_cmake_doc(cmake_file, rst_file)\",\n \"def main():\\n # Step1: generate htmls\\n csv_data_path= \\\"./frontend/html_template_data/dataset.csv\\\"\\n html_template_path = \\\"./frontend/html_template_data/template.html\\\"\\n html_save_path = \\\"./frontend/html_files/\\\"\\n\\n generate_htmls(csv_data_path, html_template_path, html_save_path)\\n\\n # Step2: push htmls to Github\\n # push htmls to Github Pages, currently manual.\",\n \"def compile(root, folder, filepathList):\\n # Init param\\n fpath = os.path.join(folder, \\\"current\\\")\\n\\n # YUIDoc don't need any exlude: vendor folder and min content are disable by default\\n params = [\\n \\\"yuidoc\\\",\\n \\\"--outdir\\\", fpath,\\n\\t \\\"--themedir\\\", tmpl,\\n root\\n ]\\n\\n # Run everything (see launcher.py)\\n launch(params)\",\n \"def do_counterparty_setup(role, run_as_user, docker, branch, base_path, dist_path, run_mode, backend_rpc_password,\\nbackend_rpc_password_testnet, counterpartyd_public, counterwallet_support_email):\\n counterpartyd_rpc_password = '1234' if role == 'counterpartyd_only' and counterpartyd_public == 'y' else pass_generator()\\n counterpartyd_rpc_password_testnet = '1234' if role == 'counterpartyd_only' and counterpartyd_public == 'y' else pass_generator()\\n \\n #Run setup.py (as the XCP user, who runs it sudoed) to install and set up counterpartyd, counterblockd\\n # as -y is specified, this will auto install counterblockd full node (mongo and redis) as well as setting\\n # counterpartyd/counterblockd to start up at startup for both mainnet and testnet (we will override this as necessary\\n # based on run_mode later in this function)\\n runcmd(\\\"~%s/counterpartyd_build/setup.py --noninteractive --branch=%s %s --with-testnet --for-user=%s %s\\\" % (\\n USERNAME, branch, \\\"--with-bootstrap-db\\\" if not docker else '', USERNAME, '--with-counterblockd' if role != 'counterpartyd_only' else ''))\\n runcmd(\\\"cd ~%s/counterpartyd_build && git config core.sharedRepository group && find ~%s/counterpartyd_build -type d -print0 | xargs -0 chmod g+s\\\" % (\\n USERNAME, USERNAME)) #to allow for group git actions \\n runcmd(\\\"chown -R %s:%s ~%s/counterpartyd_build\\\" % (USERNAME, USERNAME, USERNAME)) #just in case\\n runcmd(\\\"chmod -R u+rw,g+rw,o+r,o-w ~%s/counterpartyd_build\\\" % USERNAME) #just in case\\n \\n #now change the counterpartyd directories to be owned by the xcpd user (and the xcp group),\\n # so that the xcpd account can write to the database, saved image files (counterblockd), log files, etc\\n runcmd(\\\"mkdir -p ~%s/.config/counterpartyd ~%s/.config/counterpartyd-testnet\\\" % (USERNAME, USERNAME)) \\n runcmd(\\\"chown -R %s:%s ~%s/.config/counterpartyd ~%s/.config/counterpartyd-testnet\\\" % (\\n DAEMON_USERNAME, USERNAME, USERNAME, USERNAME))\\n runcmd(\\\"sed -ri \\\\\\\"s/USER=%s/USER=%s/g\\\\\\\" /etc/sv/counterpartyd/run /etc/sv/counterpartyd-testnet/run\\\" % (\\n USERNAME, DAEMON_USERNAME))\\n\\n #modify the default stored bitcoind passwords in counterpartyd.conf\\n modify_cp_config(r'^(backend|bitcoind)\\\\-rpc\\\\-password=.*?$',\\n 'backend-rpc-password=%s' % backend_rpc_password, config='counterpartyd', net='mainnet', for_user=USERNAME)\\n modify_cp_config(r'^(backend|bitcoind)\\\\-rpc\\\\-password=.*?$',\\n 'backend-rpc-password=%s' % backend_rpc_password_testnet, config='counterpartyd', net='testnet', for_user=USERNAME)\\n\\n #modify the counterpartyd API rpc password in counterpartyd.conf\\n modify_cp_config(r'^rpc\\\\-password=.*?$', 'rpc-password=%s' % counterpartyd_rpc_password,\\n config='counterpartyd', net='mainnet', for_user=USERNAME)\\n modify_cp_config(r'^rpc\\\\-password=.*?$', 'rpc-password=%s' % counterpartyd_rpc_password_testnet,\\n config='counterpartyd', net='testnet', for_user=USERNAME)\\n\\n if role == 'counterpartyd_only' and counterpartyd_public == 'y':\\n modify_cp_config(r'^rpc\\\\-host=.*?$', 'rpc-host=0.0.0.0', config='counterpartyd', for_user=USERNAME)\\n \\n #disable upstart scripts from autostarting on system boot if necessary\\n if run_mode not in ['m', 'b']:\\n runcmd(\\\"rm -f /etc/service/counterpartyd\\\")\\n if run_mode not in ['t', 'b']:\\n runcmd(\\\"rm -f /etc/service/counterpartyd-testnet\\\")\\n \\n if role != 'counterpartyd_only':\\n #now change the counterblockd directories to be owned by the xcpd user (and the xcp group),\\n runcmd(\\\"mkdir -p ~%s/.config/counterblockd ~%s/.config/counterblockd-testnet\\\" % (USERNAME, USERNAME)) \\n runcmd(\\\"chown -R %s:%s ~%s/.config/counterblockd ~%s/.config/counterblockd-testnet\\\" % (\\n DAEMON_USERNAME, USERNAME, USERNAME, USERNAME))\\n runcmd(\\\"sed -ri \\\\\\\"s/USER=%s/USER=%s/g\\\\\\\" /etc/sv/counterblockd/run /etc/sv/counterblockd-testnet/run\\\" % (\\n USERNAME, DAEMON_USERNAME))\\n \\n #modify the default stored bitcoind passwords in counterblockd.conf\\n modify_cp_config(r'^(backend|bitcoind)\\\\-rpc\\\\-password=.*?$',\\n 'backend-rpc-password=%s' % backend_rpc_password, config='counterblockd', net='mainnet', for_user=USERNAME)\\n modify_cp_config(r'^(backend|bitcoind)\\\\-rpc\\\\-password=.*?$',\\n 'backend-rpc-password=%s' % backend_rpc_password_testnet, config='counterblockd', net='testnet', for_user=USERNAME)\\n \\n #modify the counterpartyd API rpc password in counterblockd.conf\\n modify_cp_config(r'^counterpartyd\\\\-rpc\\\\-password=.*?$',\\n 'counterpartyd-rpc-password=%s' % counterpartyd_rpc_password, config='counterblockd', net='mainnet', for_user=USERNAME)\\n modify_cp_config(r'^counterpartyd\\\\-rpc\\\\-password=.*?$',\\n 'counterpartyd-rpc-password=%s' % counterpartyd_rpc_password_testnet, config='counterblockd', net='testnet', for_user=USERNAME)\\n \\n #role-specific counterblockd.conf values\\n modify_cp_config(r'^auto\\\\-btc\\\\-escrow\\\\-enable=.*?$', 'auto-btc-escrow-enable=%s' %\\n ('1' if role == 'btcpayescrow' else '0'), config='counterblockd', for_user=USERNAME)\\n modify_cp_config(r'^armory\\\\-utxsvr\\\\-enable=.*?$', 'armory-utxsvr-enable=%s' % \\n ('1' if role == 'counterwallet' else '0'), config='counterblockd', for_user=USERNAME)\\n if role == 'counterwallet':\\n modify_cp_config(r'^support\\\\-email=.*?$', 'support-email=%s' % counterwallet_support_email,\\n config='counterblockd', for_user=USERNAME) #may be blank string\\n\\n #disable upstart scripts from autostarting on system boot if necessary\\n if run_mode not in ['m', 'b']:\\n runcmd(\\\"rm -f /etc/service/counterblockd\\\")\\n if run_mode not in ['t', 'b']:\\n runcmd(\\\"rm -f /etc/service/counterblockd-testnet\\\")\",\n \"def build(ctx):\\n generate_build_files(ctx)\\n compile_build_files(ctx)\\n _package_plugins(ctx)\",\n \"def start_build(args):\\n\\n path = os.path.join(SCRATCH_DIR, args.project)\\n \\n # Set up virtual environment\\n print(\\\"Setting up virtual python environment in %s\\\" % path)\\n venv.create(path, clear=True, symlinks=True, with_pip=False)\\n\\n # Pull in repository data\\n sourcepath = os.path.join(path, 'source')\\n print(\\\"Cloning from git repository %s (branch: %s)\\\" % (args.source, args.sourcebranch))\\n subprocess.run((GIT, 'clone', '--branch', args.sourcebranch, '--depth=1', '--no-single-branch', args.source, sourcepath),\\n check=True)\\n\\n # Activate venv and install pips if needed. For dev/test, we will\\n # assume that all requirements are available at the system level,\\n # rather than needing to install them into the venv.\\n ### note: this makes it difficult to test requirements.txt, but it\\n ### will do for now. Debugging requirements.txt failures on the\\n ### production buildbot is not difficult to correct.\\n if IS_PRODUCTION and os.path.exists(os.path.join(sourcepath, 'requirements.txt')):\\n print(\\\"Installing pips\\\")\\n subprocess.run(('/bin/bash', '-c',\\n 'source bin/activate; pip3 install -r source/requirements.txt'),\\n cwd=path, check=True)\\n else:\\n print(\\\"On dev/test requirements.txt is not processed, skipping pip\\\")\\n\\n # Where are our tools?\\n if IS_PRODUCTION:\\n tool_dir = PELICANFILES\\n else:\\n tool_dir = THIS_DIR\\n print(\\\"TOOLS:\\\", tool_dir)\\n\\n pelconf_yaml = os.path.join(sourcepath, AUTO_SETTINGS_YAML)\\n if os.path.exists(pelconf_yaml):\\n settings_path = os.path.join(path, AUTO_SETTINGS)\\n if IS_PRODUCTION:\\n builtin_plugins = PLUGINS\\n else:\\n builtin_plugins = os.path.join(tool_dir, os.pardir, 'plugins')\\n generate_settings(pelconf_yaml, settings_path, [ builtin_plugins ], sourcepath)\\n else:\\n # The default name, but we'll pass it explicitly.\\n settings_path = os.path.join(sourcepath, 'pelicanconf.py')\\n\\n # Set currently supported plugins\\n ### this needs to be removed, as it is too indeterminate.\\n with open(settings_path, 'a') as f:\\n f.write(\\\"\\\"\\\"\\ntry:\\n PLUGINS += ['toc']\\nexcept:\\n PLUGINS = ['toc', 'gfm']\\n\\\"\\\"\\\")\\n\\n # Call pelican\\n buildpath = os.path.join(path, 'build/output')\\n os.makedirs(buildpath, exist_ok = True)\\n buildcmd = ('/bin/bash', '-c',\\n 'source bin/activate; cd source && '\\n ### note: adding --debug can be handy\\n f'(pelican content --settings {settings_path} -o {buildpath})',\\n )\\n print(\\\"Building web site with:\\\", buildcmd)\\n env = os.environ.copy()\\n env['LIBCMARKDIR'] = LIBCMARKDIR\\n subprocess.run(buildcmd, cwd=path, check=True, env=env)\\n\\n count = len(glob.glob(f'{buildpath}/**/*.html', recursive=True))\\n print(f\\\"{count} html files.\\\")\\n if args.count > 0 and args.count > count:\\n print(\\\"Not enough html pages in the Web Site. Minimum %s > %s found in the Web Site.\\\" % (args.count, count))\\n sys.exit(4)\\n\\n # Done for now\\n print(\\\"Web site successfully generated!\\\")\\n\\n # It is much easier to do all the below, if we chdir()\\n os.chdir(sourcepath)\\n\\n # Copy to result branch\\n print(\\\"Copying web site to branch:\\\", args.outputbranch)\\n\\n try:\\n subprocess.run((GIT, 'rev-parse', '--verify', \\\"origin/%s\\\" % args.outputbranch),\\n check=True)\\n print(\\\"- Doing fresh checkout of branch %s\\\" % args.outputbranch)\\n subprocess.run((GIT, 'checkout', args.outputbranch, '-f'), check=True)\\n subprocess.run((GIT, 'pull'), check=True)\\n except:\\n print(\\\"- Branch %s does not exist (yet), creating it...\\\" % args.outputbranch)\\n # If .asf.yaml exists, which it should, make a copy of it in memory for later\\n asfyml = os.path.join(sourcepath, '.asf.yaml')\\n myyaml = None\\n if os.path.exists(asfyml):\\n myyaml = open(asfyml).read()\\n subprocess.run((GIT, 'checkout', '--orphan', args.outputbranch), check=True)\\n subprocess.run((GIT, 'rm', '-rf', '.'), check=True)\\n # Add .asf.yaml back in if we found it.\\n if myyaml:\\n open(asfyml, \\\"w\\\").write(myyaml)\\n subprocess.run((GIT, 'add', '.asf.yaml'), check=True)\\n\\n print(\\\"- Adding new content to branch\\\")\\n # RM output dir if it already exists\\n outputdir = os.path.join(sourcepath, 'output')\\n if os.path.isdir(outputdir):\\n print(\\\"Removing existing output dir %s\\\" % outputdir)\\n shutil.rmtree(outputdir)\\n shutil.move(buildpath, outputdir)\\n subprocess.run((GIT, 'add', 'output/'), check=True)\\n\\n # Check if there are any changes.\\n cp = subprocess.run((GIT, 'diff', '--cached', '--quiet'))\\n if cp.returncode == 0:\\n # There were no differences reported.\\n print('Nothing new to commit. Ignoring this build.')\\n else:\\n print(\\\"- Committing to %s\\\" % args.source)\\n subprocess.run((GIT, 'commit', '-m', 'Automatic Site Publish by Buildbot'), check=True)\\n\\n # If we're not in production, then avoid pushing changes.\\n if IS_PRODUCTION:\\n print('- Pushing changes, for publishing')\\n subprocess.run((GIT, 'push', args.source, args.outputbranch), check=True)\\n\\n print('Success. Done.')\\n # for dev/test provide viewing instructions\\n if not IS_PRODUCTION:\\n if args.listen:\\n try:\\n subprocess.run(('pelican','-l'), check=True)\\n except KeyboardInterrupt:\\n pass\\n else:\\n print(f'To test output:\\\\ncd {sourcepath}; pelican -l')\",\n \"def compile_single(is_update):\\n for task in ['pdflatex', 'bibtex', 'pdflatex', 'pdflatex']:\\n subprocess.check_call(task + ' main', shell=True)\\n shutil.move(\\\"main.pdf\\\", \\\"slides.pdf\\\")\",\n \"def build(session: nox.Session) -> None:\\n\\n dist_dir = DIR.joinpath(\\\"dist\\\")\\n if dist_dir.exists():\\n shutil.rmtree(dist_dir)\\n\\n session.install(\\\".[dev]\\\")\\n session.run(\\\"flit\\\", \\\"build\\\")\",\n \"def Main(parsed_args):\\n logging.basicConfig(\\n format='[[%(filename)s %(funcName)s]] - %(message)s',\\n level=(logging.ERROR if os.environ.get('CI') else logging.INFO))\\n EnsureNodeJsIsInstalled()\\n CheckPrereqs()\\n InstallNodeDependencies()\\n SetupOutDir(out_dir='dist')\\n GenValidatorProtoascii(out_dir='dist')\\n GenValidatorPb2Py(out_dir='dist')\\n GenValidatorProtoGeneratedJs(out_dir='dist')\\n GenValidatorGeneratedJs(out_dir='dist')\\n CompileValidatorMinified(out_dir='dist')\\n RunSmokeTest(out_dir='dist')\\n RunIndexTest()\\n CompileValidatorTestMinified(out_dir='dist')\\n CompileHtmlparserTestMinified(out_dir='dist')\\n CompileParseCssTestMinified(out_dir='dist')\\n CompileParseUrlTestMinified(out_dir='dist')\\n CompileAmp4AdsParseCssTestMinified(out_dir='dist')\\n CompileKeyframesParseCssTestMinified(out_dir='dist')\\n CompileParseSrcsetTestMinified(out_dir='dist')\\n GenerateTestRunner(out_dir='dist')\\n RunTests(update_tests=parsed_args.update_tests, out_dir='dist')\",\n \"def build_all(c, name, path, force=False):\\n print(40*\\\"-\\\")\\n print(\\\" starting the build and check...\\\")\\n print(40*\\\"-\\\")\\n # genate the app\\n if force:\\n r=c.run(\\\"python generate_app.py -n {} -p {} -f\\\".format(name, path))\\n else:\\n r=c.run(\\\"python generate_app.py -n {} -p {}\\\".format(name, path))\\n \\n print(\\\" .. generated the PythonOnWheels app.\\\")\\n # switch the current dir for invoke. every c.run starts from that dir.\\n app_path=os.path.abspath(os.path.join(path, name))\\n # create a venv\\n if os.name == \\\"nt\\\":\\n with c.cd(app_path):\\n print(\\\" .. creating a virtualenv\\\")\\n c.run(\\\"python -m venv ./venv\\\")\\n print(\\\" .. Installing the PoW requirements\\\")\\n c.run(\\\"cd ./venv/Scripts && pip.exe install -r {}\\\".format(\\n os.path.normpath(os.path.join(\\\"..\\\\..\\\", \\\"requirements.txt\\\"))))\\n elif os.name == \\\"posix\\\":\\n with c.cd(app_path):\\n print(\\\" .. creating a virtualenv\\\")\\n c.run(\\\"python -m venv ./venv\\\")\\n with c.cd(os.path.join(app_path, \\\"venv/bin\\\")):\\n print(\\\" .. Installing the PoW requirements\\\")\\n print(\\\"cwd: \\\" + c.cwd)\\n #pipath= os.path.abspath(os.path.join(app_path, \\\"./venv/bin/pip\\\"))\\n #print(\\\"venv pip path: {}\\\".format( pipath ))\\n reqpath = os.path.normpath(os.path.join( app_path, \\\"requirements.txt\\\"))\\n print(\\\"requirements.txt: {}\\\".format(reqpath))\\n c.run(\\\"./pip install -r {}\\\".format( reqpath ))\\n c.run(\\\"./pip freeze\\\")\\n else:\\n print(\\\"only posix and windows compatible OS are supported, sorry!\\\")\\n sys.exit()\\n test(c,path,name)\\n runserver(c,path,name)\",\n \"def piprot():\\n cli_parser = argparse.ArgumentParser(\\n epilog=\\\"Here's hoping your requirements are nice and fresh!\\\"\\n )\\n cli_parser.add_argument(\\n \\\"-v\\\",\\n \\\"--verbose\\\",\\n action=\\\"store_true\\\",\\n help=\\\"verbosity, can be supplied more than once \\\"\\n \\\"(enabled by default, use --quiet to disable)\\\",\\n )\\n cli_parser.add_argument(\\n \\\"-l\\\",\\n \\\"--latest\\\",\\n action=\\\"store_true\\\",\\n help=\\\"print the lastest available version for out \\\" \\\"of date requirements\\\",\\n )\\n cli_parser.add_argument(\\n \\\"-x\\\",\\n \\\"--verbatim\\\",\\n action=\\\"store_true\\\",\\n help=\\\"output the full requirements file, with \\\"\\n \\\"added comments with potential updates\\\",\\n )\\n cli_parser.add_argument(\\n \\\"-q\\\",\\n \\\"--quiet\\\",\\n action=\\\"store_true\\\",\\n help=\\\"be a little less verbose with the output \\\" \\\"(<0.3 behaviour)\\\",\\n )\\n cli_parser.add_argument(\\n \\\"-o\\\", \\\"--outdated\\\", action=\\\"store_true\\\", help=\\\"only list outdated requirements\\\"\\n )\\n\\n cli_parser.add_argument(\\n \\\"-g\\\",\\n \\\"--github\\\",\\n help=\\\"Test the requirements from a GitHub repo. \\\"\\n \\\"Requires that a `requirements.txt` file \\\"\\n \\\"exists in the root of the repository.\\\",\\n )\\n\\n cli_parser.add_argument(\\n \\\"-b\\\",\\n \\\"--branch\\\",\\n help=\\\"The branch to test requirements from, used with \\\"\\n \\\"the Github URL support.\\\",\\n )\\n\\n cli_parser.add_argument(\\n \\\"-t\\\",\\n \\\"--token\\\",\\n help=\\\"Github personal access token to be used with \\\" \\\"the Github URL support.\\\",\\n )\\n\\n cli_parser.add_argument(\\n \\\"-p\\\", \\\"--path\\\", help=\\\"Path to requirements file in remote repository.\\\"\\n )\\n\\n cli_parser.add_argument(\\n \\\"-d\\\",\\n \\\"--delay\\\",\\n help=\\\"Delay before an outdated package triggers an error.\\\"\\n \\\"(in days, default to 1).\\\",\\n )\\n\\n cli_parser.add_argument(\\\"-u\\\", \\\"--url\\\", help=\\\"URL to requirements file.\\\")\\n\\n # if there is a requirements.txt file, use it by default. Otherwise print\\n # usage if there are no arguments.\\n nargs = \\\"+\\\"\\n\\n if (\\n \\\"--github\\\" in sys.argv\\n or \\\"-g\\\" in sys.argv\\n or \\\"-u\\\" in sys.argv\\n or \\\"--url\\\" in sys.argv\\n ):\\n nargs = \\\"*\\\"\\n\\n default = None\\n if os.path.isfile(\\\"requirements.txt\\\"):\\n nargs = \\\"*\\\"\\n default = [open(\\\"requirements.txt\\\")]\\n\\n cli_parser.add_argument(\\n \\\"file\\\",\\n nargs=nargs,\\n type=argparse.FileType(),\\n default=default,\\n help=\\\"requirements file(s), use \\\" \\\"`-` for stdin\\\",\\n )\\n\\n cli_args = cli_parser.parse_args()\\n\\n if len(cli_args.file) > 1 and cli_args.verbatim:\\n sys.exit(\\\"--verbatim only allowed for single requirements files\\\")\\n\\n verbose = True\\n if cli_args.quiet:\\n verbose = False\\n elif cli_args.verbatim:\\n verbose = False\\n\\n # call the main function to kick off the real work\\n main(\\n req_files=cli_args.file,\\n verbose=verbose,\\n outdated=cli_args.outdated,\\n latest=cli_args.latest,\\n verbatim=cli_args.verbatim,\\n repo=cli_args.github,\\n branch=cli_args.branch,\\n path=cli_args.path,\\n token=cli_args.token,\\n url=cli_args.url,\\n delay=cli_args.delay,\\n )\",\n \"def main():\\n # <<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<\\n # ~~ Handles input arguments\\n options = set_parser()\\n\\n # <<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<\\n # ~~~~ Environment ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\\n update_config(options)\\n version = CFGS.configs[CFGS.cfgname].get('version', 'trunk')\\n\\n # <<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<\\n # ~~~~ banners ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\\n svn_banner(CFGS.get_root(), version)\\n\\n # <<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<\\n # ~~~~ Works for all configurations unless specified ~~~~~~~~~~~~~~~\\n # Checking if symlink is available\\n if options.use_link and not check_sym_link(options.use_link):\\n raise TelemacException(\\\\\\n '\\\\nThe symlink option is only available on Linux systems. '\\n 'Remove the option and try again')\\n\\n # <<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<\\n # ~~~~ Forces not to use any Xwindows backend for Jenkins ~~~~~~~~~~\\n if options.vnv_post:\\n import matplotlib.pyplot as plt\\n\\n plt.switch_backend('agg')\\n\\n # <<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<\\n # ~~~~ Reporting errors ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\\n xcpts = Messages()\\n\\n # ~~~~ Reporting summary ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\\n if options.notebook:\\n type_valid = 'notebooks'\\n else:\\n type_valid = 'examples'\\n\\n report = Report(options.report_name, type_valid)\\n\\n # ~~~ Running validation\\n cfg = config_corrections(options, CFGS.cfgname)\\n\\n if options.notebook:\\n run_validation_notebooks(options, report, xcpts)\\n else:\\n run_validation_python(cfg, options, report, xcpts)\\n\\n # Writting report\\n if options.report_name != '':\\n report.write()\\n\\n # <<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<\\n # ~~~~ Reporting errors ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\\n if xcpts.not_empty():\\n print('\\\\n\\\\nHummm ... I could not complete my work.\\\\n'\\n '{}\\\\n{}'.format('~' * 72, xcpts.except_messages()))\\n sys.exit(1)\\n\\n # <<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<\\n # ~~~~ Jenkins' success message ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\\n else:\\n print('\\\\n\\\\nMy work is done\\\\n\\\\n')\\n sys.exit(0)\",\n \"def run():\\n build_no_documentation()\\n build_sphinx_build()\\n #build_sphinx_pdf()\\n build_graphviz_files()\",\n \"def build():\\n local('pelican -o {} -s pelicanconf.py'.format(env.deploy_path))\",\n \"def setup():\\n\\n with cd(env.homedir):\\n\\n # clone repository from github\\n sudo('git clone https://github.com/collective/demo.plone.de.git', user=env.deploy_user) # noqa: E501\\n\\n with cd(env.directory):\\n\\n # requirements\\n # sudo('python python-dev build-essential zlib1g-dev libssl-dev libxml2-dev libxslt1-dev wv poppler-utils libtiff5-dev libjpeg62-dev zlib1g-dev libfreetype6-dev liblcms1-dev libwebp-dev') # noqa: E501\\n\\n # prepare buildout\\n if env.latest:\\n if env.python3:\\n sudo('ln -s local_demo_nightly_py3.cfg local.cfg', user=env.deploy_user) # noqa: E501\\n else:\\n sudo('ln -s local_demo_nightly_py2.cfg local.cfg', user=env.deploy_user) # noqa: E501\\n else:\\n sudo('ln -s local_production.cfg local.cfg', user=env.deploy_user)\\n sudo('echo -e \\\"[buildout]\\\\nlogin = admin\\\\npassword = admin\\\" > secret.cfg', user=env.deploy_user) # noqa: E501\\n\\n # bootstrap and run bildout once\\n if env.latest:\\n sudo('./bin/pip install --no-cache-dir -r https://raw.githubusercontent.com/plone/buildout.coredev/5.2/requirements.txt', user=env.deploy_user) # noqa: E501\\n else:\\n sudo('./bin/pip install --no-cache-dir -r https://raw.githubusercontent.com/starzel/buildout/5.2/requirements.txt', user=env.deploy_user) # noqa: E501\\n sudo('./bin/buildout', user=env.deploy_user)\\n\\n # start supervisor which starts plone instance also\\n sudo('./bin/supervisord', user=env.deploy_user)\",\n \"def setup(ctx):\\r\\n ctx.run('pip3 install -r requirements.txt')\",\n \"def submit(request):\\n if not request.user.is_authenticated():\\n return proceed(request)\\n # If dev has already agreed, continue to next step.\\n user = UserProfile.objects.get(pk=request.user.id)\\n if not user.read_dev_agreement:\\n return redirect('submit.app.terms')\\n return manifest(request)\",\n \"def main(type, project, author, email):\\n while os.path.exists(project):\\n click.echo('The project has been exists. Would you want to rebuild the project?\\\\n')\\n click.echo('> {:<12}\\\\tfor\\\\tcontinue'.format('YES'))\\n click.echo('> {:<12}\\\\tfor\\\\tbreak'.format('NO'))\\n click.echo('> {:<12}\\\\tfor\\\\tbuilding another project\\\\n'.format('PROJECT NAME'))\\n confirm_info = input('> ').strip().lower()\\n if confirm_info == 'yes':\\n shutil.rmtree(project)\\n elif confirm_info == 'no':\\n return\\n else:\\n project = confirm_info\\n my_project = CreateNewProject(type, project, author, email)\\n my_project.run()\",\n \"def main(argv):\\n parser = OptionParser()\\n parser.add_option(\\n \\\"--output-dir\\\",\\n help=\\\"Output directory for generated files. Defaults to chromium root \\\"\\n \\\"directory.\\\")\\n parser.add_option(\\n \\\"-v\\\", \\\"--verbose\\\", action=\\\"store_true\\\", help=\\\"Verbose logging output.\\\")\\n parser.add_option(\\n \\\"-c\\\", \\\"--check\\\", action=\\\"store_true\\\",\\n help=\\\"Check if output files match generated files in chromium root \\\"\\n \\\"directory. Use this in PRESUBMIT scripts with --output-dir.\\\")\\n\\n (options, _) = parser.parse_args(args=argv)\\n\\n # This script lives under src/gpu/command_buffer.\\n script_dir = os.path.dirname(os.path.abspath(__file__))\\n assert script_dir.endswith(os.path.normpath(\\\"src/gpu/command_buffer\\\"))\\n # os.path.join doesn't do the right thing with relative paths.\\n chromium_root_dir = os.path.abspath(script_dir + \\\"/../..\\\")\\n\\n # Support generating files under gen/ and for PRESUBMIT.\\n if options.output_dir:\\n output_dir = options.output_dir\\n else:\\n output_dir = chromium_root_dir\\n os.chdir(output_dir)\\n\\n # This script lives under gpu/command_buffer, cd to base directory.\\n build_cmd_buffer_lib.InitializePrefix(\\\"WebGPU\\\")\\n gen = build_cmd_buffer_lib.GLGenerator(\\n options.verbose, \\\"2018\\\", _FUNCTION_INFO, _NAMED_TYPE_INFO,\\n chromium_root_dir)\\n gen.ParseGLH(\\\"gpu/command_buffer/webgpu_cmd_buffer_functions.txt\\\")\\n\\n gen.WriteCommandIds(\\\"gpu/command_buffer/common/webgpu_cmd_ids_autogen.h\\\")\\n gen.WriteFormat(\\\"gpu/command_buffer/common/webgpu_cmd_format_autogen.h\\\")\\n gen.WriteFormatTest(\\n \\\"gpu/command_buffer/common/webgpu_cmd_format_test_autogen.h\\\")\\n gen.WriteGLES2InterfaceHeader(\\n \\\"gpu/command_buffer/client/webgpu_interface_autogen.h\\\")\\n gen.WriteGLES2ImplementationHeader(\\n \\\"gpu/command_buffer/client/webgpu_implementation_autogen.h\\\")\\n gen.WriteGLES2InterfaceStub(\\n \\\"gpu/command_buffer/client/webgpu_interface_stub_autogen.h\\\")\\n gen.WriteGLES2InterfaceStubImpl(\\n \\\"gpu/command_buffer/client/webgpu_interface_stub_impl_autogen.h\\\")\\n gen.WriteGLES2Implementation(\\n \\\"gpu/command_buffer/client/webgpu_implementation_impl_autogen.h\\\")\\n gen.WriteGLES2ImplementationUnitTests(\\n \\\"gpu/command_buffer/client/webgpu_implementation_unittest_autogen.h\\\")\\n gen.WriteCmdHelperHeader(\\n \\\"gpu/command_buffer/client/webgpu_cmd_helper_autogen.h\\\")\\n # Note: No gen.WriteServiceImplementation\\n # Note: No gen.WriteServiceUnitTests\\n gen.WriteServiceUtilsHeader(\\n \\\"gpu/command_buffer/service/webgpu_cmd_validation_autogen.h\\\")\\n gen.WriteServiceUtilsImplementation(\\n \\\"gpu/command_buffer/service/\\\"\\n \\\"webgpu_cmd_validation_implementation_autogen.h\\\")\\n\\n build_cmd_buffer_lib.Format(gen.generated_cpp_filenames, output_dir,\\n chromium_root_dir)\\n\\n if gen.errors > 0:\\n print(\\\"build_webgpu_cmd_buffer.py: Failed with %d errors\\\" % gen.errors)\\n return 1\\n\\n check_failed_filenames = []\\n if options.check:\\n for filename in gen.generated_cpp_filenames:\\n if not filecmp.cmp(os.path.join(output_dir, filename),\\n os.path.join(chromium_root_dir, filename)):\\n check_failed_filenames.append(filename)\\n\\n if len(check_failed_filenames) > 0:\\n print('Please run gpu/command_buffer/build_webgpu_cmd_buffer.py')\\n print('Failed check on autogenerated command buffer files:')\\n for filename in check_failed_filenames:\\n print(filename)\\n return 1\\n\\n return 0\",\n \"def main():\\n parser = argparse.ArgumentParser()\\n parser.add_argument('--corpus_dir', required=True)\\n parser.add_argument('--feature_module', required=True)\\n\\n args = parser.parse_args()\\n corpus_dir = args.corpus_dir\\n feature_module = args.feature_module\\n\\n return build_file(corpus_dir, feature_module)\",\n \"def make_submission(commit: CommitDetails):\\n\\n submitter, commit_id = commit.submitter, commit.commit_id\\n\\n subprocess.run(f\\\"git checkout --force {commit_id}\\\", shell=True, stdout=subprocess.DEVNULL,\\n stderr=subprocess.DEVNULL, cwd=f\\\"{SUBS_DIR}/{submitter}/{ASSIGNMENT}\\\", check=True)\\n\\n submission_path = os.path.realpath(f\\\"{SUBS_DIR}/{submitter}/{ASSIGNMENT}\\\")\\n subprocess.run(f\\\"./add_sub_manually.sh {submission_path}\\\", shell=True, check=False)\",\n \"def main():\\n parse = argparse.ArgumentParser(\\n prog=\\\"Doctopus\\\",\\n usage=\\\"\\\\ndoctopus project [-h] [-t {ziyan, chitu} ] [-v]\\\")\\n parse.add_argument('project', help='project name', nargs='?')\\n parse.add_argument('-t',\\n '--target',\\n choices=['ziyan', 'chitu'],\\n default='ziyan',\\n help='selelct the target, default ziyan')\\n parse.add_argument('-v',\\n '--version',\\n action='version',\\n default=None,\\n version='%(prog)s {}'.format(version_))\\n project = parse.parse_args().project\\n target = parse.parse_args().target\\n version = parse.parse_args().version\\n\\n if not project:\\n parse.print_help()\\n\\n elif version:\\n print(version)\\n\\n elif target == 'ziyan':\\n make_ziyan(project)\\n\\n elif target == 'chitu':\\n make_chitu(project)\",\n \"def main():\\n logger.info(\\\"Running main function...\\\")\\n args = get_args()\\n # rose suite default location\\n if args.suite_dir:\\n default_suite = args.suite_dir\\n rose_config_template = os.path.join(default_suite, \\\"rose-suite.conf\\\")\\n\\n # get command line arguments\\n recipe_files = args.recipe_files\\n config_file = args.config_file\\n main_dir = args.main_dir\\n log_level = args.log_level\\n\\n # setup rose suite\\n run_rose = _setup_work(rose_config_template, recipe_files,\\n config_file, main_dir, default_suite, log_level)\\n\\n # submit to cylc\\n if not args.no_submit:\\n _run_suite(run_rose)\",\n \"def build_and_deploy():\\n\\n with shell_env(TZ=_get_timezone()):\\n _create_output_branch()\\n _build_html()\\n _git_commit_all()\\n _git_push(_get_output_branch())\",\n \"def build_essential(self):\\n self.install_package(\\\"build-essential\\\")\",\n \"def compile_code():\\n pyc_cmd = \\\"python3 ../course/common/compiler.py \\\"\\n\\n with open('log.out', 'w+', encoding=\\\"utf-8\\\") as f:\\n subprocess.call(shlex.split(pyc_cmd + './student/'), universal_newlines=True, stderr=f)\\n f.seek(0)\\n out_student = f.read()\\n\\n if out_student != \\\"\\\":\\n rawhtml = rst.get_codeblock(\\\"\\\", out_student)\\n feedback.set_global_result('failed')\\n feedback.set_global_feedback(_(\\\"Your program does not compile: \\\\n \\\") + rawhtml + \\\"\\\\n\\\")\\n sys.exit(0)\",\n \"def mail(ui, repo, *pats, **opts):\\n\\tcl, err = CommandLineCL(ui, repo, pats, opts)\\n\\tif err != \\\"\\\":\\n\\t\\treturn err\\n\\tcl.Upload(ui, repo, gofmt_just_warn=True)\\n\\tif not cl.reviewer:\\n\\t\\treturn \\\"no reviewers listed in CL\\\"\\n\\tpmsg = \\\"Hello \\\" + JoinComma(cl.reviewer)\\n\\tif cl.cc:\\n\\t\\tpmsg += \\\" (cc: %s)\\\" % (', '.join(cl.cc),)\\n\\tpmsg += \\\",\\\\n\\\"\\n\\tpmsg += \\\"\\\\n\\\"\\n\\tpmsg += \\\"I'd like you to review the following change.\\\\n\\\"\\n\\tPostMessage(cl.name, pmsg, send_mail=\\\"checked\\\", subject=cl.Subject())\",\n \"def ci(session):\\n session.install('-rrequirements-dev.txt')\\n session.install('-e', '.')\\n run_sphinx(session)\\n run_yapf(session, True)\\n run_all_linters(session)\\n run_pytest_units(session)\\n run_pytest_integrations(session)\",\n \"def main() -> None:\\n if sys.version_info < (3, 6):\\n logging.error(\\\"swift-sharing-request requires >= python3.6\\\")\\n sys.exit(1)\\n run_server_devel(init_server())\",\n \"def build_virtualenv():\\n\\n puts(yellow(\\\"Install dependencies from requirements.txt\\\"))\\n with cd(env.source_dir):\\n with prefix('source %s' % in_rwd('bin/activate')):\\n sudo('pip install -r %s' % env.requirements_file,\\n user=env.app_user)\\n sudo('python setup.py develop', user=env.app_user)\",\n \"def project():\",\n \"def project():\",\n \"def project():\",\n \"def build(ctx: typer.Context):\\n from .tasks import build, main\\n\\n sys.argv = sys.argv[:1] + (ctx.args or [\\\"list\\\"])\\n main(vars(build))\",\n \"def task_prepare_build():\\n\\n import sys\\n\\n python_path = sys.executable.split(os.sep)\\n venv_path = str(Path(os.sep.join(python_path[:-2])))\\n\\n def get_dst_path():\\n import platform\\n\\n print(f\\\"Going on with {venv_path} as the virtual environment exclusively used for using pyinstaller.\\\")\\n arch = platform.system()\\n if arch == \\\"Windows\\\":\\n return Path(venv_path) / \\\"Lib/site-packages/mad_gui/qt_designer/build/\\\"\\n if arch in [\\\"Linux\\\", \\\"Darwin\\\"]:\\n python_dirs = os.listdir(Path(venv_path) / \\\"lib/\\\")\\n warnings.warn(\\n f\\\"dodo.py: Assuming your python 3.7 installation is in {Path(venv_path)}/lib/{python_dirs[0]}\\\"\\n )\\n return Path(venv_path) / \\\"lib\\\" / python_dirs[0] / \\\"site-packages/mad_gui/qt_designer/build/\\\"\\n raise ValueError(\\\"What operating system is this?!\\\")\\n\\n def set_up_paths():\\n if not os.path.exists(get_dst_path().parent):\\n raise FileNotFoundError(\\n \\\"Apparently mad_gui is not installed in this environemnt. Use `pip install . ` to do so.\\\"\\n )\\n dst_path = get_dst_path()\\n os.makedirs(dst_path, exist_ok=True)\\n\\n def convert_ui_to_py():\\n dst_path = get_dst_path()\\n ui_files = [file for file in os.listdir(dst_path.parent) if \\\".ui\\\" in file]\\n print(\\\"\\\\n\\\")\\n for file in ui_files:\\n print(f\\\"Converting from: {dst_path.parent}{os.sep}{file}\\\")\\n print(f\\\"To: {dst_path}{os.sep}{file.split('.')[0]}.py\\\\n\\\")\\n os.popen(f\\\"pyside2-uic -o {dst_path}{os.sep}{file.split('.')[0]}.py {dst_path.parent}{os.sep}{file}\\\")\\n\\n print(\\n \\\"Info: These conversion should take place in the virutal environment you are going to use with \\\"\\n \\\"pyinstaller.\\\"\\n )\\n\\n return {\\n \\\"actions\\\": [set_up_paths, convert_ui_to_py],\\n \\\"verbosity\\\": 2,\\n }\",\n \"def main():\\n print(\\n \\\"\\\"\\\"\\n\\n ##########################################################\\n # #\\n # #\\n # Compiling Colocalized Cyano Datasets #\\n # #\\n # #\\n ##########################################################\\n\\n \\n \\\"\\\"\\\"\\n )\\n cyanoFiles = glob.glob(f\\\"{COLOCALIZED_DIR}*.csv\\\")\\n makedir(COMPILED_DIR)\\n dfCompiled = pd.DataFrame({})\\n for cyanoFile in cyanoFiles:\\n print(f\\\"Compiling {cyanoFile}\\\")\\n data = unify(cyanoFile)\\n if len(dfCompiled ) < 1:\\n dfCompiled = data\\n else:\\n dfCompiled = pd.concat([dfCompiled, data], ignore_index=True) \\n dfCompiled.to_csv(f\\\"{COMPILED_DIR}compiled.csv\\\", index=False)\",\n \"def setup_channel(channelPath):\\n\\n logging.info('Setting up resummation runner in\\\\n %s'%channelPath)\\n\\n try:\\n misc.compile(cwd=channelPath, mode='fortran', job_specs = False)\\n except:\\n logging.error(\\\"Could not compile resummation runner in %s/%s\\\"%(channelPath))\\n raise\\n \\n logging.info(' ... Done.')\\n \\n return subprocess.Popen([os.path.join(channelPath,'resum_driver')], \\n stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=subprocess.PIPE, \\n cwd=channelPath)\",\n \"def main(args):\\n utils.check_setuptools_version()\\n opts = parse_args(args)\\n make_sanity_checks(opts)\\n opts = get_default_opts(opts['project'], **opts)\\n create_project(opts)\\n if opts['update'] and not opts['force']:\\n note = \\\"Update accomplished!\\\\n\\\" \\\\\\n \\\"Please check if your setup.cfg still complies with:\\\\n\\\" \\\\\\n \\\"http://pyscaffold.readthedocs.org/en/v{}/configuration.html\\\"\\n print(note.format(pyscaffold.__version__))\",\n \"def _install():\\n download_file='http://www.ipol.im/pub/art/2015/136/inpaint_8.tgz'\\n tools.download_and_extract(download_file) \\n this_file_path=os.path.dirname(__file__)\\n subprocess.call(' mkdir build; cd build; cmake ..; make', shell=True,cwd=exec_folder)\",\n \"def run_project_checks(sub: Submission, logger):\\n\\n project = sub.project\\n codes = []\\n found_submitter = False\\n found_submitter_details = False\\n\\n # Contacts\\n if not project.contacts:\\n logger.error(\\\"No contacts found. At least one contact must be included.\\\")\\n codes.append(\\\"PROJ-E01\\\")\\n else:\\n # Roles\\n role_term = ontology_term(\\\"role\\\")\\n allowed_roles = get_term_descendants(role_term[\\\"ontology\\\"], role_term[\\\"uri\\\"], logger)\\n for i, c in enumerate(project.contacts):\\n if c.roles:\\n for r in c.roles:\\n role_value = r.lower().rstrip()\\n if role_value not in allowed_roles:\\n logger.warning(\\\"Contact role \\\\\\\"{}\\\\\\\" is not an allowed term.\\\".format(role_value))\\n codes.append(\\\"PROJ-E05\\\")\\n elif role_value == \\\"submitter\\\":\\n found_submitter = True\\n if c.email and c.affiliation:\\n found_submitter_details = True\\n if not c.lastName:\\n logger.error(\\\"A contact must have last name specified: {}.\\\".format(c))\\n codes.append(\\\"PROJ-E02\\\")\\n # At least one contact must have role \\\"submitter\\\"\\n if not found_submitter:\\n logger.error(\\\"At least one contact must have role \\\\\\\"submitter\\\\\\\".\\\")\\n codes.append(\\\"PROJ-E03\\\")\\n # At least one submitter contact needs email and affiliation\\n if not found_submitter_details:\\n logger.error(\\\"At least one contact with role \\\\\\\"submitter\\\\\\\" must have email and affiliation specified.\\\")\\n codes.append(\\\"PROJ-E04\\\")\\n\\n # Format of PubMed ID and DOI\\n if project.publications:\\n for pub in project.publications:\\n if pub.pubmedId:\\n try:\\n int(pub.pubmedId)\\n except ValueError:\\n logger.error(\\\"PubMed ID must be numerical. Got \\\\\\\"{}\\\\\\\".\\\".format(pub.pubmedId))\\n codes.append(\\\"PROJ-E06\\\")\\n if pub.doi:\\n if not REGEX_DOI_FORMAT.match(pub.doi.rstrip()):\\n logger.error(\\\"Publication DOI \\\\\\\"{}\\\\\\\" does not match expected pattern.\\\".format(pub.doi))\\n codes.append(\\\"PROJ-E07\\\")\\n\\n # Release date\\n if project.releaseDate:\\n if not REGEX_DATE_FORMAT.match(project.releaseDate):\\n logger.error(\\\"Release date \\\\\\\"{}\\\\\\\" is not in YYYY-MM-DD format.\\\".format(project.releaseDate))\\n codes.append(\\\"PROJ-E09\\\")\\n else:\\n logger.error(\\\"No release date found. Project must have release date specified.\\\")\\n codes.append(\\\"PROJ-E08\\\")\\n\\n return codes\",\n \"def main():\\r\\n \\r\\n data_dir = Path.cwd().joinpath('OUTPUT')\\r\\n config_dir = Path.cwd().joinpath('CONFIG')\\r\\n \\r\\n # Load deduplicated comments\\r\\n data = utils.load(data_dir, 'student_comment_deduplicated')\\r\\n \\r\\n # Get the luis API url\\r\\n with open(config_dir.joinpath('luis_url.txt'), 'r') as f:\\r\\n luis_url = f.readline()\\r\\n \\r\\n request_api(\\r\\n data,\\r\\n luis_url,\\r\\n 1000,\\r\\n )\",\n \"def _build_and_run_request(self, user, fields):\\r\\n req = self._request_factory.post(\\r\\n \\\"/submit_feedback\\\",\\r\\n data=fields,\\r\\n HTTP_REFERER=\\\"test_referer\\\",\\r\\n HTTP_USER_AGENT=\\\"test_user_agent\\\",\\r\\n REMOTE_ADDR=\\\"1.2.3.4\\\",\\r\\n SERVER_NAME=\\\"test_server\\\"\\r\\n )\\r\\n req.user = user\\r\\n return views.submit_feedback(req)\",\n \"def main(_):\\n\\n if FLAGS.output_dir is not None:\\n if not tf.gfile.Exists(FLAGS.output_dir):\\n print('[INFO ]\\\\tOutput directory does not exist, creating directory: ' + os.path.abspath(FLAGS.output_dir))\\n tf.gfile.MakeDirs(FLAGS.output_dir)\\n \\n evaluate()\",\n \"def install_requirements():\\n run_commands('pip install -r ./requirements/dev.txt')\",\n \"def InstallPrereqs():\\n #Collect the source for Cython and put in _deps/cython-master\\n import urllib,zipfile\\n print('getting cython sources')\\n urllib.urlretrieve('https://github.com/cython/cython/archive/master.zip', filename = 'master.zip')\\n with zipfile.ZipFile('master.zip', 'r') as myzip:\\n myzip.extractall(path='_deps')\\n os.remove('master.zip')\\n for python_install in PYTHONVERSIONS:\\n for cwd in ['_deps/cython-master']:\\n print(subprocess.check_output([python_install, 'setup.py', 'install'], cwd = cwd))\",\n \"def build():\\n click.echo(\\\"start build your pelican project...\\\")\\n # copy_mathjax(PUBLISHDIR)\\n \\n cmd = \\\"pelican {INPUTDIR} -o {PUBLISHDIR} -s {PUBLISHCONF}\\\".format(\\n INPUTDIR=INPUTDIR,\\n PUBLISHCONF=PUBLISHCONF,\\n PUBLISHDIR=PUBLISHDIR\\n )\\n\\n click.echo('start run cmd: {0}'.format(cmd))\\n ret = subprocess.call(cmd, shell=True)\\n\\n click.echo('running result is:{0}'.format(ret))\",\n \"def install():\\n build()\\n sh(\\\"%s setup.py develop\\\" % PYTHON)\",\n \"def build_uwsgi(self, uwsgi_path):\\n current_path = os.getcwd()\\n profile = self.options.get(\\\"profile\\\", MARKER)\\n\\n if profile is MARKER:\\n profile = '%s/buildconf/default.ini' % uwsgi_path\\n elif not os.path.isabs(profile):\\n # if the specified profile is not an absolute path, try\\n # looking for it in the buildout folder first; otherwise,\\n # look for it in the current directory\\n buildout_dir_profile = '%s/buildconf/%s' % (uwsgi_path, profile)\\n if os.path.isfile(buildout_dir_profile):\\n profile = buildout_dir_profile\\n else:\\n profile = os.path.abspath(profile)\\n\\n # Change dir to uwsgi_path for compile.\\n os.chdir(uwsgi_path)\\n build_stdout = tempfile.TemporaryFile()\\n try:\\n # Build uWSGI. We don't use the Makefile, since it uses an\\n # override variable (with :=) we cannot specify the\\n # Python interpreter we want to use.\\n subprocess.check_call([self.options.get('executable', sys.executable),\\n os.path.join(uwsgi_path, 'uwsgiconfig.py'),\\n '--build',\\n profile],\\n stdout=build_stdout)\\n finally:\\n # Change back to original path.\\n os.chdir(current_path)\\n\\n if os.path.isfile(self.uwsgi_binary_path):\\n os.unlink(self.uwsgi_binary_path)\\n\\n shutil.copy(os.path.join(uwsgi_path, \\\"uwsgi\\\"), self.uwsgi_binary_path)\",\n \"def run(self) -> None:\\n\\n if sys.platform == \\\"mingw\\\":\\n # build with MinGW for windows\\n command = [\\\"./configure && make && make install\\\"]\\n elif sys.platform in [\\\"win32\\\", \\\"win64\\\"]:\\n # win32/64 users should install the PyAudio wheel or Conda package\\n command = None\\n else:\\n # macos or linux\\n command = [\\\"./configure && make\\\"]\\n\\n if command:\\n # build PortAudio with system specific command\\n subprocess.run(\\n command,\\n shell=True,\\n check=True,\\n cwd=\\\"spokestack/extensions/portaudio\\\",\\n )\\n # install PyAudio after PortAudio has been built\\n subprocess.run(\\n [sys.executable, \\\"-m\\\", \\\"pip\\\", \\\"install\\\", \\\"pyaudio\\\"],\\n shell=True,\\n check=True,\\n )\\n # run the normal build process\\n build_py.run(self)\",\n \"def tfrun(args, build_modules, build_workspace, build_env):\\n\\n # loop through each selected module(s) and apply the action as specified by user\\n for m in build_modules:\\n print(\\\"\\\\n\\\\n****************************************************************************\\\")\\n print(\\\"Permforming action \\\\\\\"{0}\\\\\\\" for module {1}\\\".format(args.action, m))\\n print(\\\"****************************************************************************\\\\n\\\\n\\\")\\n run_module(args, m, build_workspace, build_env)\",\n \"def main(unused_argv):\\n make_dir(FLAGS.raw_dir)\\n\\n # Get paths of download/extracted training and evaluation files.\\n print(\\\"Downloading data from source\\\")\\n train_files = get_raw_files(FLAGS.raw_dir, constants.TRAIN_DATA_SOURCES)\\n eval_files = get_raw_files(FLAGS.raw_dir, constants.EVAL_DATA_SOURCES)\",\n \"def source(conf, cwd=None):\\n if not cwd:\\n cwd = \\\".\\\"\\n\\n if conf.endswith(\\\".git\\\"):\\n proc = subprocess.Popen(\\n [\\\"git\\\", \\\"clone\\\", conf, \\\".\\\"],\\n cwd=cwd, stdout=sys.stdout, stderr=sys.stderr)\\n proc.communicate()\\n\\n else:\\n download(conf)\\n\\n # pkg = os.path.join(cwd, \\\"requirements.in\\\")\\n # if os.path.exists(pkg):\\n # proc = subprocess.Popen(\\n # [\\\"pip-compile\\\", pkg], stdout=sys.stdout, stderr=sys.stderr)\\n # proc.communicate()\\n\\n pkg = os.path.join(cwd, \\\"requirements.txt\\\")\\n if os.path.exists(pkg):\\n proc = subprocess.Popen(\\n [\\\"pip\\\", \\\"install\\\", \\\"--exists-action\\\", \\\"i\\\", \\\"-r\\\", pkg],\\n stdout=sys.stdout, stderr=sys.stderr)\\n proc.communicate()\",\n \"def run_distutils():\\n from distutils.core import setup, Extension\\n\\n source_dir = os.getcwd()\\n build_dir = Params.cmake_binary_dir\\n \\n gsched_module = Extension('_gsched',\\n sources=[build_dir+'/gsched_wrap.c', \\n build_dir+'/gsched.c'],\\n include_dirs = [source_dir+'/include'],\\n libraries = ['gsched'],\\n extra_compile_args = ['-fPIC'],\\n library_dirs = [build_dir, source_dir], \\n \\n )\\n\\n\\n# sdf_seq_module = Extension('_sdf_seq',\\n# sources=[source_dir+'/libgsched/sdf_seq_wrap.c',\\n# source_dir+'/libgsched/sdf_seq.c'],\\n# include_dirs = [source_dir+'/include'], \\n #)\\n \\n \\n setup(name='pygsched',\\n version='1.0',\\n description=\\\"Group Scheduling Python API bindings.\\\",\\n url='http://www.ittc.ku.edu/kusp',\\n package_dir={'': '.'},\\n include_dirs = [source_dir+'/include'],\\n ext_modules = [gsched_module],\\n # sdf_seq_module],\\n py_modules = ['gschedapi'],\\n scripts = ['tools/gschedctrl',\\n 'tools/gschedexec',\\n 'tools/gschedpprint',\\n 'tools/gschedsnapshot',\\n 'tools/gschedsh',\\n ],\\n packages=['pygsched','pygsched.gsconsole']\\n )\\n pass\",\n \"def build(ctx):\\n if 'cicd' in run('hostname').stdout.strip():\\n # Check if we are executing the task from an aws instance\\n if requests.get('http://169.254.169.254/latest/meta-data/').status_code == 200:\\n git_ref_source = os.environ.get('GIT_SOURCE_BRANCH')\\n git_ref_target = os.environ.get('GIT_TARGET_BRANCH')\\n run('git fetch --all')\\n run('git checkout {}'.format(git_ref_target))\\n\\n \\n tar_name = \\\"Frontend\\\"\\n #'wordpress-{}-en_CA.tar.gz'.format(WORDPRESS_VERSION)\\n #tar_file = open(tar_name, 'wb')\\n #tar_file.write(wp_tar.content)\\n #tar_file.close()\\n\\n #run('tar -xzf {}'.format(tar_name))\\n \\n # Download the postmedia source-code and patches/config\\n #clone(git_ref_target, git_ref_source)\\n\\n # merge (if applicable) and create the release\\n if git_ref_source:\\n git_pr_id = os.getenv('GIT_PR_ID')\\n github_util.put('repos/{}/{}/pulls/{}/merge'.format(GIT_ORG, GIT_REPO, git_pr_id), params={'merge_method': 'squash'})\\n version = github_util.get_next_rc()\\n github_util.set_release(target_commitish='master', tag=version, prerelease=True)\\n build_type = 'release candidate'\\n else:\\n version = github_util.get_next_hf()\\n github_util.set_release(git_ref_target, version)\\n build_type = 'hotfix'\\n\\n # package and upload to S3\\n author = os.environ.get('GIT_AUTHOR')\\n notes = release_notes(version, author, git_ref_target, git_ref_source, build_type)\\n tarball = package(notes, version)\\n print(\\\"No upload to S3\\\")\\n #upload(tarball, S3_BUCKET_STAGE)\\n else:\\n author = input('please enter your name for the release notes: ')\\n\\n valid_snapshot_name = False\\n while not valid_snapshot_name:\\n snapshot_name = input('please enter a name for your snapshot: ')\\n snapshot_name = snapshot_name.lower()\\n snapshot_name = re.sub('-', '_', snapshot_name)\\n\\n # domain sections cannot be longer than 63 characters, so snapshot\\n # name cannot be longer than 26 (63 minus snapshot-20190128-1713-homesanddesign - 37)\\n if (len(snapshot_name) <= 26):\\n valid_snapshot_name = True\\n else:\\n print(\\\"{} is too long. Please enter a new snapshot name of 28 characters or less.\\\".format(snapshot_name))\\n\\n build_type = 'snapshot'\\n \\n version = '{}_{}_{}'.format(build_type, snapshot_name,\\n datetime.datetime.now().strftime(\\\"%Y%m%d_%H%M\\\"))\\n print(\\\"Building snapshot {}\\\".format(version))\\n git_ref_target = 'master'\\n git_ref_source = 'HEAD'\\n notes = release_notes(version, author, git_ref_target, git_ref_source, build_type)\\n os.chdir('/opt/')\\n if os.path.exists(WORK_DIR):\\n os.system('rm -rf {}'.format(WORK_DIR))\\n os.mkdir(WORK_DIR)\\n tarball = package(notes, version)\\n print (\\\"No upload to S3\\\")\\n #upload(tarball, S3_BUCKET_DEV)\",\n \"def makeprojects(working_directory=None, args=None):\\n from .__main__ import main\\n if args is None:\\n args = []\\n return main(working_directory, args)\",\n \"def setup():\\n\\n with cd(env.homedir):\\n\\n # clone repository from github\\n sudo('git clone https://github.com/starzel/demo.starzel.de.git', user=env.deploy_user) # noqa: E501\\n\\n with cd(env.directory):\\n\\n # requirements\\n # sudo('python python-dev build-essential zlib1g-dev libssl-dev libxml2-dev libxslt1-dev wv poppler-utils libtiff5-dev libjpeg62-dev zlib1g-dev libfreetype6-dev liblcms1-dev libwebp-dev') # noqa: E501\\n\\n # prepare buildout\\n sudo('ln -s local_production.cfg local.cfg', user=env.deploy_user)\\n sudo('echo -e \\\"[buildout]\\\\nlogin = admin\\\\npassword = admin\\\" > secret.cfg', user=env.deploy_user) # noqa: E501\\n\\n # bootstrap and run bildout once\\n sudo('./bin/pip install -r requirements.txt', user=env.deploy_user)\\n sudo('./bin/buildout', user=env.deploy_user)\\n\\n # start supervisor which starts plone instance also\\n sudo('./bin/supervisord', user=env.deploy_user)\",\n \"def main():\\n if len(sys.argv) != 2:\\n print('USAGE:\\\\tpython3 inoti_make.py <CONFIG_FILE>')\\n exit(1)\\n config = parse(sys.argv[1])\\n listen_folders(config)\",\n \"def main():\\n\\n options = get_options()\\n\\n cf.use_style(\\\"solarized\\\")\\n if options[\\\"nocolor\\\"]:\\n cf.disable()\\n\\n newline()\\n header(\\\"Thumbor v%s (of %s)\\\" % (__version__, __release_date__))\\n\\n newline()\\n print(\\n \\\"Thumbor doctor will analyze your install and verify if everything is working as expected.\\\"\\n )\\n\\n errors = check_modules()\\n errors += check_compiled_extensions()\\n errors += check_filters()\\n errors += check_extensions()\\n\\n newline()\\n\\n if errors:\\n print(cf.bold_red(\\\"😞 Oh no! We found some things that could improve... 😞\\\"))\\n newline()\\n print(\\\"\\\\n\\\".join([\\\"* %s\\\" % str(err) for err in errors]))\\n newline()\\n newline()\\n print(\\n cf.cyan(\\n \\\"If you don't know how to fix them, please open an issue with thumbor.\\\"\\n )\\n )\\n print(\\n cf.cyan(\\n \\\"Don't forget to copy this log and add it to the description of your issue.\\\"\\n )\\n )\\n print(\\\"Open an issue at https://github.com/thumbor/thumbor/issues/new\\\")\\n sys.exit(1)\\n return\\n\\n print(cf.bold_green(\\\"🎉 Congratulations! No errors found! 🎉\\\"))\",\n \"def build(ctx):\\n ctx.run(\\\"vsce package\\\", replace_env=False)\",\n \"def run():\\n print('')\\n\\n abspath = os.path.abspath(__file__)\\n dname = os.path.dirname(abspath)\\n os.chdir('tools/' + CHANGEME_GITNAME)\\n if sop.debug.lower() == 'y':\\n comm.runCommand('python2 ' + program + ' -s ' + sop.ip + ' -d', 'ChangeMe')\\n else:\\n comm.runCommand('python2 ' + CHANGEME_GITRUN + ' -s ' + sop.ip, 'ChangeMe')\\n os.chdir(dname)\",\n \"def main():\\n args = main_parse_args()\\n\\n log_dir = os.path.join(args.working_dir, args.logs_path)\\n if not os.path.exists(log_dir):\\n os.makedirs(log_dir)\\n\\n # if there are scheduled jobs, return\\n job_status = get_status(args.chronos)\\n if len(job_status['all']) > 0:\\n print(\\\"Cannot begin build with pre-existing jobs on chronos!\\\")\\n else:\\n run_step(\\\"MYSQL\\\", False, args)\\n run_step(\\\"REDIS\\\", False, args)\\n wait_for_port(int(args.redis_port), args.redis_host)\\n wait_for_port(int(args.mysql_port), args.mysql_host)\\n run_step('SETUP', True, args)\\n run_step('CHECK', True, args)\\n run_step('IMPORT', True, args)\\n run_step('EXPORT1', True, args)\\n run_step('EXPORT2', True, args)\\n print(\\\"KnowNet Pipeline Completed!\\\")\",\n \"def main():\\n # Parse command line arguments\\n configfile = parse_arguments()\\n # Parse config file\\n (basedir, gituser, add_own_forks, forks, branches) = parse_config(configfile)\\n # Check that base directory exists\\n if not os.path.exists(basedir):\\n raise Exception('Base directory {0} does not exist'.format(basedir))\\n # Configure working directory\\n workdir = setup_workdir(basedir)\\n # Check out the code\\n checkout_code(workdir, gituser, add_own_forks, forks, branches)\\n print \\\"Location of code: {0}\\\".format(workdir)\",\n \"def execute(self):\\n\\n self.__create_assets_directory()\\n self.__create_datasets_directories()\\n self.__create_structures_directories()\\n\\n self.logger.write_action_required(\\\"The repository specified in the readme file must be cloned in the path: \\\" +\\n IMAGES_PATH)\\n self.logger.write_action_required(\\\"Execute the command 'pip install -r requirements.txt' \\\")\\n self.logger.write_info(\\\"Strategy executed successfully\\\")\",\n \"def work_in_example_project(request):\\n return chdir_in_and_out(request, LoslassaProject.EXAMPLE_PROJECT)\",\n \"def main():\\n\\n parser = argparse.ArgumentParser(\\n description='Convert collection of bibtex files to clean markdown script.')\\n parser.add_argument('-i', '--input', nargs='+', required=False,\\n help='Input bibtex files. Defaults to bib/*')\\n parser.add_argument('-o', '--output', default='publications.md', required=False,\\n help='Output markdown floadile.')\\n args = parser.parse_args()\\n\\n # Build setup\\n os.makedirs(BUILD_ROOT, exist_ok=True)\\n build_dir = os.path.join(\\n BUILD_ROOT,\\n datetime.now().strftime(datetime.now().strftime('%Y_%m_%d_%H_%M_%S_%f')))\\n os.makedirs(build_dir)\\n\\n # Find and merge all bibtex files\\n input_files = args.input\\n if input_files is None:\\n input_files = [os.path.join(BIB_ROOT, f) for f in os.listdir(BIB_ROOT)\\n if os.path.isfile(os.path.join(BIB_ROOT, f))]\\n merge_file = merge_bibtex(input_files, build_dir)\\n\\n # Parse merged bibtex file with custom options\\n parse_file = parse_bibtex(merge_file, build_dir)\\n\\n # Render bibtex to markdown\\n render_file = render_bibtex(parse_file, build_dir, args.output)\",\n \"def main(self):\\n self.log = logging.getLogger()\\n\\n opts = self.options\\n args = self.args\\n if opts.debug:\\n self.log.setLevel(logging.DEBUG)\\n else:\\n self.log.setLevel(logging.WARNING)\\n if len(args) < 2 :\\n self.log.error(\\\"Not enough arguments\\\")\\n sys.exit(1)\\n else :\\n project = args[0].upper()\\n version = args[1]\\n\\n # Connect to the ConfDB to update the platform\\n self.mConfDB = SoftConfDB()\\n\\n buildtool = \\\"cmake\\\"\\n if self.options.usecmt:\\n if self.options.usecmake:\\n raise Exception(\\\"Please specify one build system only\\\")\\n buildtool = \\\"cmt\\\"\\n \\n if self.options.remove:\\n self.mConfDB.unsetBuildTool(project, version)\\n else:\\n self.mConfDB.setBuildTool(project, version, buildtool)\",\n \"def main():\\n\\n while 1:\\n answer = input(\\\"Would you like replay the entire history of all commits in all submissions, \\\"\\n \\\"or just submit the current version of submissions?\\\\n(full_history/current): \\\")\\n if answer == \\\"full_history\\\":\\n full_history = True\\n break\\n elif answer == \\\"current\\\":\\n full_history = False\\n break\\n else:\\n print(\\\"Error: unexpected value '{}'. Please choose one of (full_history/current)\\\")\\n\\n if not verify_submissions_valid():\\n print(\\\"Errors must be corrected in test/submissions before testing can be run\\\")\\n exit(1)\\n\\n if subprocess.run(\\\"python3.8 backend.py check_config\\\", shell=True, check=False).returncode != 0:\\n print(\\\"Error with tournament configuration. Stopping testing\\\")\\n exit(1)\\n\\n # Ensure tournament is online\\n subprocess.run(\\\"python3.8 backend.py start_tournament\\\", shell=True, check=False)\\n time.sleep(2)\\n\\n print()\\n print(\\\"=========================\\\")\\n commit_details = get_details_all_commits(full_history)\\n print()\\n commit_details = strip_unneeded_commits(commit_details)\\n print(\\\"=========================\\\")\\n print()\\n\\n i = 0\\n for commit_detail in commit_details:\\n i += 1\\n print(f\\\"\\\\n({i}/{len(commit_details)}) {commit_detail}\\\")\\n make_submission(commit_detail)\",\n \"def main(\\n req_in: str, req_pinned: str, tld: Optional[str], ignore: Optional[Iterable[str]]\\n):\\n print(\\\"Compiling requirements!\\\")\\n if isinstance(ignore, str):\\n ignore = [ignore]\\n reqcompyle(\\n Path(req_in),\\n Path(req_pinned),\\n Path(tld) if tld else None,\\n [Path(i) for i in ignore] if ignore else None,\\n )\\n return 0\",\n \"def build_code(self):\\n if not path.isfile(path.join(self.tmpdir, 'requirements.txt')):\\n return\\n\\n oldpwd = os.getcwd()\\n os.chdir(self.tmpdir)\\n\\n call('pip install --requirement requirements.txt --target .'.split(' '))\\n\\n # We need to create a __init__.py per code directory without it.\\n # This is required to not create a PYTHONPATH with all directories.\\n #\\n for (current_dir, directories, files) in os.walk('.', topdown=False):\\n if current_dir.endswith('.dist-info'):\\n # This is a python metadirectory, we can skip it\\n continue\\n namespacer = path.join(current_dir, '__init__.py')\\n if not path.isfile(namespacer):\\n print(\\\"Creating file {0}\\\".format(namespacer))\\n with open(namespacer, 'w') as nmf:\\n nmf.write('# File Generated by lambdamanager packager')\\n\\n os.chdir(oldpwd)\",\n \"def compile_package(self):\\n build_package = [\\n self.mock,\\n '--root=%s' % self.root,\\n '--arch=%s' % self.arch,\\n '--shell',\\n '/build_package.sh',\\n \\n ]\\n output, errors = self._run_command(build_package)\",\n \"def run(self):\\n self._make_lib_file_symbolic_links()\\n self._copy_each_include_files_to_include_dir()\\n self._make_dep_lib_file_sym_links_and_copy_include_files()\\n self.setup_py.add_patchs_to_build_without_pkg_config(\\n self.rpm.lib_dir, self.rpm.include_dir\\n )\\n self.setup_py.apply_and_save()\\n self._build_and_install()\",\n \"def main():\\n\\n ############################ variable settings #################################\\n parser = argparse.ArgumentParser(description='Run Subtask C of GermEval 2017 Using Pre-Trained Language Model.')\\n parser.add_argument('--seed', type=int, default=42, help='Random seed.')\\n parser.add_argument('--lang_model', type=str, default='bert-base-german-dbmdz-uncased', help='The pre-trained language model.')\\n parser.add_argument('--epochs', type=int, default=4, help='Number of epochs for training.')\\n parser.add_argument('--lr', type=float, default=5e-5, help='The learning rate.')\\n parser.add_argument('--max_len', type=int, default=256, help='The maximum sequence length of the input text.')\\n parser.add_argument('--batch_size', type=int, default=32, help='Your train set batch size.')\\n parser.add_argument('--df_path', type=str, default='./data/', help='The data directory.') \\n parser.add_argument('--train_data', type=str, default='train_df_cat.tsv', help='The filename of the input train data.')\\n parser.add_argument('--dev_data', type=str, default='dev_df_cat.tsv', help='The filename of the input development data.')\\n parser.add_argument('--test_data1', type=str, default='test_syn_df_cat.tsv', help='The filename of the first input test data (synchronic).')\\n parser.add_argument('--test_data2', type=str, default='test_dia_df_cat.tsv', help='The filename of the second input test data (diachronic).')\\n parser.add_argument('--output_path', type=str, default='./output/subtaskC/', help='The output directory of the model and predictions.')\\n parser.add_argument(\\\"--train\\\", default=True, action=\\\"store_true\\\", help=\\\"Flag for training.\\\")\\n parser.add_argument(\\\"--save_prediction\\\", default=False, action=\\\"store_true\\\", help=\\\"Flag for saving predictions.\\\")\\n parser.add_argument(\\\"--save_cr\\\", default=False, action=\\\"store_true\\\", help=\\\"Flag for saving confusion matrix.\\\")\\n parser.add_argument(\\\"--exclude_general\\\", default=False, action=\\\"store_true\\\", help=\\\"Flag for excluding category Allgemein.\\\")\\n parser.add_argument(\\\"--exclude_neutral\\\", default=False, action=\\\"store_true\\\", help=\\\"Flag for excluding neutral polarity.\\\")\\n parser.add_argument(\\\"--exclude_general_neutral\\\", default=False, action=\\\"store_true\\\", help=\\\"Flag for excluding category Allgemein:neutral.\\\")\\n args = parser.parse_args()\\n ################################################################################\\n set_all_seeds(args.seed)\\n device, n_gpu = initialize_device_settings(use_cuda=True)\\n \\n # Load data\\n train_df = pd.read_csv(args.df_path + args.train_data, delimiter = '\\\\t')\\n dev_df = pd.read_csv(args.df_path + args.dev_data, delimiter = '\\\\t')\\n test_syn_df = pd.read_csv(args.df_path + args.test_data1, delimiter = '\\\\t')\\n test_dia_df = pd.read_csv(args.df_path + args.test_data2, delimiter = '\\\\t')\\n \\n # Create a tokenizer\\n lower_case = False\\n if args.lang_model[-7:] == \\\"uncased\\\":\\n lower_case = True\\n\\n if args.lang_model[:4] == \\\"bert\\\":\\n model_class = \\\"BERT\\\"\\n tokenizer = BertTokenizer.from_pretrained(args.lang_model, do_lower_case=lower_case, max_length=args.max_len)\\n \\n if args.lang_model[:10] == \\\"distilbert\\\":\\n model_class = \\\"DistilBERT\\\"\\n tokenizer = DistilBertTokenizer.from_pretrained(args.lang_model, do_lower_case=lower_case, max_length=args.max_len)\\n \\n\\n # get training features\\n cats = train_df.columns[5:]\\n end = \\\"full\\\"\\n # exclude categories if required\\n if (args.exclude_general):\\n cats = [i for i in list(cats) if \\\"Allgemein\\\" not in i]\\n end = \\\"excl_gen\\\"\\n if (args.exclude_neutral):\\n cats = [i for i in list(cats) if \\\"neutral\\\" not in i]\\n end = \\\"excl_neu\\\"\\n if (args.exclude_general_neutral):\\n cats = [i for i in list(cats) if \\\"Allgemein:neutral\\\" not in i]\\n end = \\\"excl_genneu\\\"\\n \\n num_labels = len(list(cats))\\n\\n # create one hot labels\\n train_df['one_hot_labels'] = list(train_df[list(cats)].values)\\n dev_df['one_hot_labels'] = list(dev_df[list(cats)].values)\\n test_syn_df['one_hot_labels'] = list(test_syn_df[list(cats)].values)\\n test_dia_df['one_hot_labels'] = list(test_dia_df[list(cats)].values)\\n\\n # retrieve sentences and labels\\n df = pd.concat([train_df, dev_df])\\n sentences = df.text.values\\n labels = list(df.one_hot_labels.values) \\n\\n sentences_syn = test_syn_df.text.values\\n labels_syn = list(test_syn_df.one_hot_labels.values)\\n\\n sentences_dia = test_dia_df.text.values\\n labels_dia = list(test_dia_df.one_hot_labels.values)\\n \\n print(\\\"number of categories:\\\", len(list(cats)))\\n\\n # Tokenize all of the sentences and map the tokens to their word IDs. \\n input_ids = [tokenizer.encode(sent, add_special_tokens=True, truncation=True, \\n max_length=args.max_len) for sent in sentences]\\n input_ids = pad_sequences(input_ids, maxlen=args.max_len, dtype=\\\"long\\\", \\n value=0.0, truncating=\\\"post\\\", padding=\\\"post\\\")\\n # Create attention masks\\n attention_masks = [[int(token_id > 0) for token_id in sent] for sent in input_ids]\\n \\n # synchronic test data\\n input_ids_syn = [tokenizer.encode(sent, add_special_tokens=True, truncation=True) for sent in sentences_syn]\\n input_ids_syn = pad_sequences(input_ids_syn, maxlen=args.max_len, dtype=\\\"long\\\", \\n value=0.0, truncating=\\\"post\\\", padding=\\\"post\\\")\\n attention_masks_syn = [[int(token_id > 0) for token_id in sent] for sent in input_ids_syn]\\n \\n # diachronic test data\\n input_ids_dia = [tokenizer.encode(sent, add_special_tokens=True, truncation=True) for sent in sentences_dia]\\n input_ids_dia = pad_sequences(input_ids_dia, maxlen=args.max_len, dtype=\\\"long\\\", \\n value=0.0, truncating=\\\"post\\\", padding=\\\"post\\\")\\n attention_masks_dia = [[int(token_id > 0) for token_id in sent] for sent in input_ids_dia]\\n\\n # split train, dev\\n train_inputs, train_labels, dev_inputs, dev_labels, train_masks, dev_masks = split_train_dev(\\n train_df, dev_df, attention_masks, input_ids, labels)\\n \\n # transform to torch tensor\\n train_inputs = torch.tensor(train_inputs)\\n dev_inputs = torch.tensor(dev_inputs)\\n\\n train_labels = torch.tensor(train_labels)\\n dev_labels = torch.tensor(dev_labels)\\n\\n train_masks = torch.tensor(train_masks)\\n dev_masks = torch.tensor(dev_masks)\\n\\n test_syn_inputs = torch.tensor(input_ids_syn)\\n test_syn_masks = torch.tensor(attention_masks_syn)\\n test_syn_labels = torch.tensor(labels_syn)\\n\\n test_dia_inputs = torch.tensor(input_ids_dia)\\n test_dia_masks = torch.tensor(attention_masks_dia)\\n test_dia_labels = torch.tensor(labels_dia)\\n\\n # Create the DataLoader\\n train_dataloader = create_dataloader(train_inputs, train_masks, \\n train_labels, args.batch_size, train = True)\\n\\n dev_dataloader = create_dataloader(dev_inputs, dev_masks, \\n dev_labels, args.batch_size, train = False)\\n\\n test_syn_dataloader = create_dataloader(test_syn_inputs, test_syn_masks, \\n test_syn_labels, args.batch_size, \\n train = False)\\n\\n test_dia_dataloader = create_dataloader(test_dia_inputs, test_dia_masks, \\n test_dia_labels, args.batch_size, \\n train = False)\\n\\n # Create model\\n if args.train:\\n if model_class == \\\"BERT\\\":\\n config = BertConfig.from_pretrained(args.lang_model, num_labels=num_labels) \\n config.hidden_dropout_prob = 0.1 \\n model = BertForSequenceClassification.from_pretrained(\\n args.lang_model,\\n num_labels = num_labels,\\n output_attentions = False,\\n output_hidden_states = False\\n )\\n\\n if model_class == \\\"DistilBERT\\\":\\n config = DistilBertConfig.from_pretrained(args.lang_model, num_labels=num_labels) \\n config.hidden_dropout_prob = 0.1 \\n model = DistilBertForSequenceClassification.from_pretrained(\\n args.lang_model,\\n num_labels = num_labels,\\n output_attentions = False,\\n output_hidden_states = False\\n )\\n model.cuda()\\n\\n\\n # Create an optimizer\\n param_optimizer = list(model.named_parameters())\\n no_decay = ['bias', 'LayerNorm.weight']\\n optimizer_grouped_parameters = [\\n {'params': [p for n, p in param_optimizer if not any(nd in n for nd in no_decay)],\\n 'weight_decay_rate': 0.01},\\n {'params': [p for n, p in param_optimizer if any(nd in n for nd in no_decay)],\\n 'weight_decay_rate': 0.0}\\n ]\\n optimizer = AdamW(\\n optimizer_grouped_parameters,\\n lr=args.lr,\\n eps = 1e-8\\n )\\n # Total number of training steps = number of batches * number of epochs\\n total_steps = len(train_dataloader) * args.epochs\\n # Create the learning rate scheduler\\n scheduler = get_linear_schedule_with_warmup(\\n optimizer,\\n num_warmup_steps=0,\\n num_training_steps=total_steps\\n )\\n \\n # train model\\n # Main Loop\\n print(\\\"=================== Train ================\\\")\\n print(\\\"##### Language Model:\\\", args.lang_model, \\\",\\\", \\\"learning rate:\\\", args.lr)\\n print()\\n\\n track_time = time.time()\\n # trange is a tqdm wrapper around the normal python range\\n for epoch in trange(args.epochs, desc=\\\"Epoch\\\"):\\n print(\\\"Epoch: %4i\\\"%epoch, dt.datetime.now())\\n\\n model, optimizer, scheduler, tr_loss = train_multilabel(\\n train_dataloader=train_dataloader, \\n model=model, \\n device=device, \\n optimizer=optimizer, \\n scheduler=scheduler, \\n num_labels=num_labels\\n )\\n # EVALUATION: TRAIN SET\\n pred_bools_train, true_bools_train, f1_train = eval_multilabel(\\n train_dataloader, model=model, device=device)\\n print(\\\"TRAIN: micro F1 %.3f\\\"%(f1_train))\\n \\n # EVALUATION: DEV SET\\n pred_bools_dev, true_bools_dev, f1_dev = eval_multilabel(\\n dev_dataloader, model=model, device=device)\\n print(\\\"EVAL: micro F1 %.3f\\\"%(f1_dev))\\n \\n\\n print(\\\" Training and validation took in total: {:}\\\".format(format_time(time.time()-track_time)))\\n\\n # EVALUATION: TEST SYN SET\\n pred_bools_syn, true_bools_syn, f1_test_syn = eval_multilabel(\\n test_syn_dataloader, model=model, device=device)\\n print(\\\"TEST SYN: micro F1 %.4f\\\"%(f1_test_syn))\\n\\n # classification report\\n clf_report_syn = classification_report(true_bools_syn, pred_bools_syn, target_names=cats, digits=3)\\n print(clf_report_syn)\\n\\n\\n # EVALUATION: TEST DIA SET\\n pred_bools_dia, true_bools_dia, f1_test_dia = eval_multilabel(\\n test_dia_dataloader, model=model, device=device\\n )\\n print(\\\"TEST DIA: micro F1 %.4f\\\"%(f1_test_dia))\\n\\n # classification report\\n clf_report_dia = classification_report(true_bools_dia, pred_bools_dia, target_names=cats, digits=3)\\n print(clf_report_dia)\\n \\n if args.save_cr:\\n pickle.dump(clf_report_syn, open(args.output_path+'clf_report_'+args.lang_model+'_test_syn_'+str(num_labels)+end+'.txt','wb'))\\n pickle.dump(clf_report_dia, open(args.output_path+'clf_report_'+args.lang_model+'_test_dia_'+str(num_labels)+end+'.txt','wb'))\\n\\n\\n if args.save_prediction:\\n test_syn_df[\\\"category_pred\\\"] = pred_bools_syn\\n test_dia_df[\\\"category_pred\\\"] = pred_bools_dia\\n test_syn_df.category_pred.to_csv(args.output_path+args.lang_model+'_test_syn_'+str(num_labels)+end+\\\".tsv\\\", \\n sep=\\\"\\\\t\\\", index = False, header = True, encoding = \\\"utf-8-sig\\\")\\n test_dia_df.category_pred.to_csv(args.output_path+args.lang_model+'_test_dia_'+str(num_labels)+end+\\\".tsv\\\", \\n sep=\\\"\\\\t\\\", index = False, header = True, encoding = \\\"utf-8-sig\\\")\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.5829583","0.57398903","0.5694149","0.56572914","0.56046396","0.5515011","0.54561096","0.54488283","0.5433041","0.54104203","0.54102594","0.5293359","0.5293359","0.52712715","0.52614814","0.51956767","0.5161417","0.514239","0.51241314","0.5068415","0.5065328","0.50410503","0.50341773","0.50322866","0.5029882","0.5019718","0.5017141","0.50145227","0.5011622","0.49922174","0.4961556","0.49519604","0.49467385","0.49444264","0.49352288","0.49341306","0.49308828","0.4924404","0.49231702","0.491834","0.49158025","0.49113533","0.4903842","0.49012202","0.48976204","0.48965114","0.48949283","0.48891103","0.48872337","0.48839393","0.48791096","0.4877819","0.48599297","0.48470914","0.4838043","0.48289835","0.48219466","0.48144338","0.48111156","0.48111156","0.48111156","0.4798904","0.4796878","0.47868812","0.47800568","0.47736576","0.4771342","0.4767746","0.4763219","0.4753206","0.4745682","0.4744973","0.474028","0.47376844","0.47367585","0.47365177","0.47344","0.4734305","0.47308102","0.47291398","0.47160763","0.46968424","0.4695876","0.46935806","0.46919352","0.4687892","0.46834356","0.4682647","0.46688622","0.4667699","0.46624398","0.46592888","0.46560737","0.46557426","0.46537137","0.46527007","0.4642303","0.46408257","0.46408108","0.46401978"],"string":"[\n \"0.5829583\",\n \"0.57398903\",\n \"0.5694149\",\n \"0.56572914\",\n \"0.56046396\",\n \"0.5515011\",\n \"0.54561096\",\n \"0.54488283\",\n \"0.5433041\",\n \"0.54104203\",\n \"0.54102594\",\n \"0.5293359\",\n \"0.5293359\",\n \"0.52712715\",\n \"0.52614814\",\n \"0.51956767\",\n \"0.5161417\",\n \"0.514239\",\n \"0.51241314\",\n \"0.5068415\",\n \"0.5065328\",\n \"0.50410503\",\n \"0.50341773\",\n \"0.50322866\",\n \"0.5029882\",\n \"0.5019718\",\n \"0.5017141\",\n \"0.50145227\",\n \"0.5011622\",\n \"0.49922174\",\n \"0.4961556\",\n \"0.49519604\",\n \"0.49467385\",\n \"0.49444264\",\n \"0.49352288\",\n \"0.49341306\",\n \"0.49308828\",\n \"0.4924404\",\n \"0.49231702\",\n \"0.491834\",\n \"0.49158025\",\n \"0.49113533\",\n \"0.4903842\",\n \"0.49012202\",\n \"0.48976204\",\n \"0.48965114\",\n \"0.48949283\",\n \"0.48891103\",\n \"0.48872337\",\n \"0.48839393\",\n \"0.48791096\",\n \"0.4877819\",\n \"0.48599297\",\n \"0.48470914\",\n \"0.4838043\",\n \"0.48289835\",\n \"0.48219466\",\n \"0.48144338\",\n \"0.48111156\",\n \"0.48111156\",\n \"0.48111156\",\n \"0.4798904\",\n \"0.4796878\",\n \"0.47868812\",\n \"0.47800568\",\n \"0.47736576\",\n \"0.4771342\",\n \"0.4767746\",\n \"0.4763219\",\n \"0.4753206\",\n \"0.4745682\",\n \"0.4744973\",\n \"0.474028\",\n \"0.47376844\",\n \"0.47367585\",\n \"0.47365177\",\n \"0.47344\",\n \"0.4734305\",\n \"0.47308102\",\n \"0.47291398\",\n \"0.47160763\",\n \"0.46968424\",\n \"0.4695876\",\n \"0.46935806\",\n \"0.46919352\",\n \"0.4687892\",\n \"0.46834356\",\n \"0.4682647\",\n \"0.46688622\",\n \"0.4667699\",\n \"0.46624398\",\n \"0.46592888\",\n \"0.46560737\",\n \"0.46557426\",\n \"0.46537137\",\n \"0.46527007\",\n \"0.4642303\",\n \"0.46408257\",\n \"0.46408108\",\n \"0.46401978\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.47778746"},"document_rank":{"kind":"string","value":"65"}}},{"rowIdx":86788,"cells":{"query":{"kind":"string","value":"Mark student submissions using the test file Runs \"make test\" in cwd"},"document":{"kind":"string","value":"def mark():\n test_ret = subprocess.run([\"make\", \"test\"], encoding='utf-8',\n stdout=subprocess.PIPE, stderr=subprocess.PIPE)\n output = test_ret.stdout\n errors = test_ret.stderr\n lines = output.split('\\n')\n\n # find the line with the info we are looking for\n i = 0\n for idx, l in enumerate(lines):\n if \"% tests passed,\" in l:\n i = idx\n m = test_expr.search(lines[i])\n if m:\n perc, wrong, total = m.groups()\n perc = float(perc) / 100 # percent\n wrong = int(wrong)\n total = int(total)\n right = total - wrong\n else:\n print('\\n'.join(lines))\n right = int(input(\"Failed to parse score, input correct number manually: \"))\n total = int(input(\"Total tests: \"))\n comp = right / total\n output = '\\n'.join([lines[0]]+lines[2:])\n return (100 * comp, output, right, total)"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def mark_students(submitdir):\n all_students = os.listdir(submitdir)\n all_students.remove(\"copyToMarking\")\n for student in all_students:\n \n # construct the path to the individual student's submission\n studentdir = submitdir + os.sep + student + os.sep + \"marking\" + os.sep\n\n # extract the results\n extract_marks(studentdir)","def commit_test(self, test_case, file_name):\n self.logger.info('found fuzzing target')\n\n case_folder = os.path.join(self.crashes, file_name)\n\n if os.path.exists(case_folder):\n self.logger.error('duplicate case folder')\n sys.exit(1)\n\n os.mkdir(case_folder)\n\n dest = os.path.join(case_folder, 'input')\n with open(dest, 'w+') as f:\n f.write(test_case)","def test_single_file(self, db, course_dir):\n run_nbgrader([\"db\", \"assignment\", \"add\", \"ps1\", \"--db\", db])\n run_nbgrader([\"db\", \"student\", \"add\", \"foo\", \"--db\", db])\n\n self._copy_file(join(\"files\", \"submitted-unchanged.ipynb\"), join(course_dir, \"source\", \"ps1\", \"p1.ipynb\"))\n run_nbgrader([\"assign\", \"ps1\", \"--db\", db])\n\n self._copy_file(join(\"files\", \"submitted-unchanged.ipynb\"), join(course_dir, \"submitted\", \"foo\", \"ps1\", \"p1.ipynb\"))\n run_nbgrader([\"autograde\", \"ps1\", \"--db\", db])\n run_nbgrader([\"generate_feedback\", \"ps1\", \"--db\", db])\n\n assert exists(join(course_dir, \"feedback\", \"foo\", \"ps1\", \"p1.html\"))","def test_main():\n # Setup\n # Exercise\n # Verify","def run_tests():\n source1 = TextModel(\"Barack Obama\")\n source1.add_file('project/source_texts/barackobama_source_text.txt')\n\n source2 = TextModel('Donald Trump')\n source2.add_file('project/source_texts/donaldtrump_source_text.txt')\n\n new1 = TextModel('More Obama')\n new1.add_file('project/source_texts/moreobama_source_text.txt')\n new1.classify(source1, source2)\n\n new2 = TextModel('More Trump')\n new2.add_file('project/source_texts/moretrump_source_text.txt')\n new2.classify(source1, source2)\n\n new1 = TextModel('Gucci Gang by Lil Pump')\n new1.add_file('project/source_texts/guccigang_source_text.txt')\n new1.classify(source1, source2)\n\n new1 = TextModel(\"Spongebob Transcripts\")\n new1.add_file('project/source_texts/spongebobeps_source_text.txt')\n new1.classify(source1, source2)","def write_tests(project_name, root_dir):\r\n test_path = get_file_path(root_dir, \"tests\", \"%s_tests.py\" % project_name) #Get the path for setup.py\r\n test_content = get_test_text(project_name)\r\n \r\n test_file = open(test_path, 'w')\r\n test_file.write(test_content)\r\n test_file.close()\r\n print_file(test_path)","def test_autotests(self, course_dir):\n run_nbgrader([\"db\", \"assignment\", \"add\", \"ps1\"])\n run_nbgrader([\"db\", \"student\", \"add\", \"foo\"])\n\n self._copy_file(join(\"files\", \"autotest-simple.ipynb\"), join(course_dir, \"source\", \"ps1\", \"p1.ipynb\"))\n self._copy_file(join(\"files\", \"autotest-simple.ipynb\"), join(course_dir, \"source\", \"ps1\", \"p2.ipynb\"))\n self._copy_file(join(\"files\", \"autotests.yml\"), join(course_dir, \"autotests.yml\"))\n run_nbgrader([\"generate_assignment\", \"ps1\"])\n\n self._copy_file(join(\"files\", \"autotest-simple.ipynb\"), join(course_dir, \"submitted\", \"foo\", \"ps1\", \"p1.ipynb\"))\n self._copy_file(join(\"files\", \"autotest-simple.ipynb\"), join(course_dir, \"submitted\", \"foo\", \"ps1\", \"p2.ipynb\"))\n self._make_file(join(course_dir, \"submitted\", \"foo\", \"ps1\", \"timestamp.txt\"), \"2015-02-02 15:58:23.948203 America/Los_Angeles\")\n run_nbgrader([\"autograde\", \"ps1\"])\n run_nbgrader([\"generate_feedback\", \"ps1\"])\n\n assert exists(join(course_dir, \"feedback\", \"foo\", \"ps1\", \"p1.html\"))\n assert exists(join(course_dir, \"feedback\", \"foo\", \"ps1\", \"p2.html\"))\n assert isfile(join(course_dir, \"feedback\", \"foo\", \"ps1\", \"timestamp.txt\"))\n assert self._file_contents(join(course_dir, \"feedback\", \"foo\", \"ps1\", \"timestamp.txt\")) == \"2015-02-02 15:58:23.948203 America/Los_Angeles\"\n p1 = self._file_contents(join(course_dir, \"feedback\", \"foo\", \"ps1\", \"p1.html\"))\n p2 = self._file_contents(join(course_dir, \"feedback\", \"foo\", \"ps1\", \"p2.html\"))\n\n self._empty_notebook(join(course_dir, \"autograded\", \"foo\", \"ps1\", \"p1.ipynb\"))\n self._empty_notebook(join(course_dir, \"autograded\", \"foo\", \"ps1\", \"p2.ipynb\"))\n self._make_file(join(course_dir, \"autograded\", \"foo\", \"ps1\", \"timestamp.txt\"), \"2015-02-02 16:58:23.948203 America/Los_Angeles\")\n run_nbgrader([\"generate_feedback\", \"ps1\", \"--notebook\", \"p1\"])\n\n assert exists(join(course_dir, \"feedback\", \"foo\", \"ps1\", \"p1.html\"))\n assert exists(join(course_dir, \"feedback\", \"foo\", \"ps1\", \"p2.html\"))\n assert isfile(join(course_dir, \"feedback\", \"foo\", \"ps1\", \"timestamp.txt\"))\n assert self._file_contents(join(course_dir, \"feedback\", \"foo\", \"ps1\", \"timestamp.txt\")) == \"2015-02-02 16:58:23.948203 America/Los_Angeles\"\n assert p1 != self._file_contents(join(course_dir, \"feedback\", \"foo\", \"ps1\", \"p1.html\"))\n assert p2 == self._file_contents(join(course_dir, \"feedback\", \"foo\", \"ps1\", \"p2.html\"))","def tests():","def run_tests():\n source1 = TextModel('hilary_speaches')\n source1.add_file('hilary_source_text.txt')\n\n source2 = TextModel('bernie_speaches')\n source2.add_file('bernie_source_text.txt')\n\n new1 = TextModel('trump_speach')\n new1.add_file('trump_text.txt')\n new1.classify(source1, source2)\n\n new2 = TextModel('hilary_test')\n new2.add_file('hilary_test.txt')\n new2.classify(source1, source2)\n\n new3 = TextModel('bernie_test')\n new3.add_file('bernie_test.txt')\n new3.classify(source1, source2)\n\n new4 = TextModel('bill_clinton_test')\n new4.add_file('bill_clinton_source.txt')\n new4.classify(source1, source2)","def run_tests():\n source1 = TextModel('CS111 Syllabus')\n source1.add_file('CS111_Syllabus.txt')\n\n source2 = TextModel('AR Syllabus')\n source2.add_file('AR_Syllabus.txt')\n\n new1 = TextModel('WR120 Syllabus')\n new1.add_file('WR120_Syllabus.txt')\n new1.classify(source1, source2)\n \n new2 = TextModel('CS131 Syllabus')\n new2.add_file('CS131_Syllabus.txt')\n new2.classify(source1, source2)\n \n new3 = TextModel('My Paper 2 for WR120')\n new3.add_file('WR_Paper_2.txt')\n new3.classify(source1, source2)\n \n new4 = TextModel('CS111 PS9PR0')\n new4.add_file('ps9pr0.txt')\n new4.classify(source1, source2)","def runtest(self):","def __make(tests_path: Text) -> NoReturn:\n logger.info(f\"make path: {tests_path}\")\n test_files = []\n if os.path.isdir(tests_path):\n files_list = load_folder_files(tests_path)\n test_files.extend(files_list)\n elif os.path.isfile(tests_path):\n test_files.append(tests_path)\n else:\n raise exceptions.TestcaseNotFound(f\"Invalid tests path: {tests_path}\")\n\n for test_file in test_files:\n if test_file.lower().endswith(\"_test.py\"):\n pytest_files_run_set.add(test_file)\n continue\n\n try:\n test_content = load_test_file(test_file)\n except (exceptions.FileNotFound, exceptions.FileFormatError) as ex:\n logger.warning(f\"Invalid test file: {test_file}\\n{type(ex).__name__}: {ex}\")\n continue\n\n if not isinstance(test_content, Dict):\n logger.warning(\n f\"Invalid test file: {test_file}\\n\"\n f\"reason: test content not in dict format.\"\n )\n continue\n\n # api in v2 format, convert to v3 testcase\n if \"request\" in test_content and \"name\" in test_content:\n test_content = ensure_testcase_v3_api(test_content)\n\n if \"config\" not in test_content:\n logger.warning(\n f\"Invalid testcase/testsuite file: {test_file}\\n\"\n f\"reason: missing config part.\"\n )\n continue\n elif not isinstance(test_content[\"config\"], Dict):\n logger.warning(\n f\"Invalid testcase/testsuite file: {test_file}\\n\"\n f\"reason: config should be dict type, got {test_content['config']}\"\n )\n continue\n\n # ensure path absolute\n test_content.setdefault(\"config\", {})[\"path\"] = test_file\n\n # testcase\n if \"teststeps\" in test_content:\n try:\n testcase_pytest_path = make_testcase(test_content)\n pytest_files_run_set.add(testcase_pytest_path)\n except exceptions.TestCaseFormatError as ex:\n logger.warning(\n f\"Invalid testcase file: {test_file}\\n{type(ex).__name__}: {ex}\"\n )\n continue\n\n # testsuite\n elif \"testcases\" in test_content:\n try:\n make_testsuite(test_content)\n except exceptions.TestSuiteFormatError as ex:\n logger.warning(\n f\"Invalid testsuite file: {test_file}\\n{type(ex).__name__}: {ex}\"\n )\n continue\n\n # invalid format\n else:\n logger.warning(\n f\"Invalid test file: {test_file}\\n\"\n f\"reason: file content is neither testcase nor testsuite\"\n )","def setUp(self):\n self.filename = 'text_analysis_test_file.txt'\n \n \"\"\"write out the test file\"\"\"\n with open(self.filename, 'w') as f:\n f.write('now we are \\ntesting \\nor any \\ncan lon')","def runTests(self):\n \n pass","def newcode(path):\n global testers\n import json, testmaker\n print('newcode', (path,))\n\n subdir, pyfile, dst, afb, lfb, slug = ppath(path)\n \n if not pyfile or not subdir or not os.path.exists(subdir):\n print('no submission found in', subdir)\n os.unlink(path) # remove queue for absent file\n return\n\n if not slug in testers:\n print('no testers found for', subdir)\n with open(afb, 'w') as f:\n print('automated feedback not enabled for this assignment', file=f)\n # ¿use os.utimes to bypass feedback delay?\n\n # do not use os.unlink(path) because testers may be added later\n return\n \n # pypractice used create-in-tmp move-to-dest model to trigger vibe's\n # DirectoryWatcher's moved_to listneger because it had no close_write\n # listener. This is not needed in the current system because PHP can't\n # listen-and-push at all.\n \n result = testers[slug].report(pyfile)\n try:\n with open(afb, 'w') as f: json.dump({'stdout':result['feedback']}, f, default=lambda x:str(type(x)))\n except:\n with open(afb, 'w') as f: json.dump({'stdout':\"internal error generating automated feedback\"}, f)\n\n try:\n with open(lfb, 'w') as f:\n m = result['missed']\n if len(m) > 0:\n json.dump({'stdout':'Failed test cases:\\n-------------------------\\n' + '\\n-------------------------\\n'.join(m)}, f)\n else:\n json.dump({'stdout':'Passed all tests'},f)\n except:\n with open(afb, 'w') as f: json.dump({'stdout':\"internal error testing your code\"}, f)\n \n try:\n with open(dst, 'w') as f: json.dump(result, f, indent=2, default=lambda x:str(type(x)))\n except BaseException as ex:\n with open(dst, 'w') as f: json.dump({'correct':0,'error':testmaker.ex_msg(ex)}, f, indent=2)\n \n dst2 = os.path.join(os.path.dirname(os.path.dirname(dst)), os.path.basename(dst))\n if os.path.exists(dst) and not os.path.exists(dst2):\n os.link(dst, dst2)\n \n if os.path.exists(path): os.unlink(path) # remove queue now that grade finished\n return","def run_tests():\n source1 = TextModel('prep')\n source1.add_file('source_model_1.txt')\n \n source2 = TextModel('athletes')\n source2.add_file('source_model_2.txt')\n\n new1 = TextModel('my_writing')\n new1.add_file('my_writing.txt')\n new1.classify(source1, source2)\n\n # Add code for three other new models below.","def create_test(self, test_case, file_name):\n with open(os.path.join(self.tests, file_name), 'w+') as f:\n f.write(test_case)","def take_test(exam, student):\n\n student.score = exam.administer()","def run_tests():\r\n source1 = TextModel('50 Shades of Gray')\r\n source1.add_file('50.txt')\r\n \r\n print()\r\n \r\n source2 = TextModel('King James Version of the Bible')\r\n source2.add_file('kjv.txt')\r\n\r\n print()\r\n\r\n new1 = TextModel('Shakespeare')\r\n new1.add_file('shake.txt')\r\n new1.classify(source1, source2)\r\n \r\n print()\r\n \r\n new2 = TextModel('JK Rowling')\r\n new2.add_file('hp.txt')\r\n new2.classify(source1, source2)\r\n \r\n print()\r\n \r\n new3 = TextModel('Breitbart News Network')\r\n new3.add_file('bnn.txt')\r\n new3.classify(source1, source2)\r\n \r\n print()\r\n \r\n new4 = TextModel('Chaucer')\r\n new4.add_file('tct.txt')\r\n new4.classify(source1, source2)","def main():\n argument_parser = argparse.ArgumentParser(add_help=True)\n argument_parser.add_argument(\"directory\", type=str,\n help=\"Directory to detect test smells.\")\n args = argument_parser.parse_args()\n \n if len(sys.argv) < 1:\n \n argument_parser.print_help()\n \n else:\n \n if os.path.exists(args.directory) or os.path.isdir(args.directory):\n\n #Stage 1: project level rule checking\n files = python_parser.get_python_files(os.path.abspath(args.directory))\n results_list = project_rule_runner(files)\n \n #Stage 2: test case level rule checking\n #test_case_pairs_list is a list of test cases paired with their file of origin\n filtered_files = python_parser.filter_python_files(files)\n test_case_pairs_list = python_parser.get_test_case_asts(filtered_files)\n \n for test_case_pair in test_case_pairs_list:\n results_list = results_list + test_case_rule_runner(test_case_pair)\n \n #Stage 3: test method level rule checking\n test_method_list = list()\n \n for test_case_pair in test_case_pairs_list:\n test_method_list = test_method_list + python_parser.get_test_asts(test_case_pair)\n \n for test_method in test_method_list: \n results_list = results_list + test_method_rule_runner(test_method)\n \n #Output formatting\n format_output(results_list)\n \n else:\n print(\"Invalid path given.\")","def test_single_test_case():\n pass","def test_sample():\n print(os.getcwd())\n run_validator(SAMPLE_FILE_PATH)","def run_test(test_name):\n\n print 'Running %s_test...' % test_name\n os.system('./test_%s.py' % test_name)\n print","def test_create_files(self):\n\n testdir = \"test_output\"\n test_submission = Submission()\n self.addCleanup(os.remove, \"submission.tar.gz\")\n self.addCleanup(shutil.rmtree, testdir)\n\n test_submission.create_files(testdir)\n\n self.doCleanups()","def test_start(self):\n self.fail(\"write a test\")","def test_run(self):\n sut = ExperimentEmail()\n train = os.path.join(os.path.dirname(__file__), \"data\", \"sample.csv\")\n val = os.path.join(os.path.dirname(__file__), \"data\", \"sample.csv\")\n outdir = tempfile.mkdtemp()\n\n # Act\n sut.run(train, val, outdir, batch_size=32, epochs=2)","def test_test_case_name_step(self, pytester: pytest.Pytester, adaptavist_mock: AdaptavistMock):\n pytester.makepyfile(\n \"\"\"\n import pytest\n\n def test_TEST_T123_1():\n assert True\n \"\"\"\n )\n _, _, etss = adaptavist_mock\n pytester.runpytest(\"--adaptavist\")\n etss.assert_called_once_with(\n test_run_key=\"TEST-C1\",\n test_case_key=\"TEST-T123\",\n step=1,\n status=\"Pass\",\n comment=\"\",\n environment=None,\n executor=getpass.getuser().lower(),\n assignee=getpass.getuser().lower(),\n )","def run_test(self, testcase, name, options):\n name = options.suite+'_'+name\n cmd = options.solver+' '\n if not options.cat_options is None:\n cmd += options.cat_options+' '\n cmd += options.file\n print( \"Running test suite '%s' test '%s' command '%s'\" % \\\n (options.suite, name, cmd))\n pyutilib.subprocess.run(cmd, outfile=options.currdir+'test_'+name+\".out\")\n testcase.failUnlessFileEqualsBaseline(\n options.currdir+'test_'+name+\".out\",\n options.currdir+'test_'+name+\".txt\")","def run_test(self):\n\n # populate *_ps sets\n self.enter_project_file()\n\n # populate *_dir sets\n self.enter_directories()\n\n # The files in the directories makes up the largest possible set of files\n self.result_files = self.result_files_dir\n self.design_files = self.design_files_dir\n self.design_space_files = self.design_space_files_dir\n self.test_bench_files = self.test_bench_files_dir\n\n # populate *_ms sets\n self.enter_meta_results_file()\n\n # populate *_OK sets\n self.check_analysis_status()\n\n df = {'design_files_dir' : list(self.design_files_dir),'design_files_pr' : list(self.design_files_pr),\n 'design_files_ms' : list(self.design_files_ms), 'design_files_OK' : list(self.design_files_OK)}\n\n ds = {'design_space_files_dir' : list(self.design_space_files_dir),\n 'design_space_files_pr' : list(self.design_space_files_pr)}\n\n rs = {'result_files_dir' : list(self.result_files_dir), 'result_files_ms' : list(self.result_files_ms),\n 'result_files_OK' : list(self.result_files_OK)}\n\n tb = {'test_bench_files_dir' : list(self.test_bench_files_dir),\n 'test_bench_files_ms' : list(self.test_bench_files_ms)}\n\n srl = SummaryReportsLinks(self.result_files_dir)\n\n lf = {'files_linked_from_sum_reps' : srl.get_files(),\n 'folders_linked_from_sum_reps' : srl.get_folders()}\n\n # 'test_bench_files_pr' : list(self.test_bench_files_pr),\n \n json_test = {'design_files' : df, 'design_space_files' : ds, 'result_files' : rs,\n 'test_bench_files' : tb, 'stat_files' : self.stat_files,\n 'files_linked_from_sum_reps' : lf}\n\n with open('test_run.json','wb') as f_out:\n json.dump(json_test, f_out, indent=4)","def test_generate_all_testing(self):\n pass","def test_1():","def readme_tests(readme=None):\n if readme is None:\n readme = Path('..', 'readme.md')\n with open(readme) as target:\n for line in target:\n if line.startswith(' ') and 'test_utils' not in line:\n print()\n print(line)\n input('Press Enter to execute')\n sb.run(line, shell=True, check=True)","def __main() :\n launchTests()","def test_tests():\n submission = SubmissionBuilder(\"t\", \"b\", [\"anything\"]).build()\n assert submission.get(\"results\") == [\"anything\"], submission","def test_script(self) -> None:\n main()","def test(conanfile):\n with conanfile_exception_formatter(conanfile, \"test\"):\n with chdir(conanfile.build_folder):\n conanfile.test()","def test_force(self, db, course_dir):\n run_nbgrader([\"db\", \"assignment\", \"add\", \"ps1\", \"--db\", db])\n run_nbgrader([\"db\", \"student\", \"add\", \"foo\", \"--db\", db])\n\n self._copy_file(join(\"files\", \"submitted-unchanged.ipynb\"), join(course_dir, \"source\", \"ps1\", \"p1.ipynb\"))\n self._make_file(join(course_dir, \"source\", \"ps1\", \"foo.txt\"), \"foo\")\n self._make_file(join(course_dir, \"source\", \"ps1\", \"data\", \"bar.txt\"), \"bar\")\n run_nbgrader([\"generate_assignment\", \"ps1\", \"--db\", db])\n\n self._copy_file(join(\"files\", \"submitted-unchanged.ipynb\"), join(course_dir, \"submitted\", \"foo\", \"ps1\", \"p1.ipynb\"))\n self._make_file(join(course_dir, \"submitted\", \"foo\", \"ps1\", \"foo.txt\"), \"foo\")\n self._make_file(join(course_dir, \"submitted\", \"foo\", \"ps1\", \"data\", \"bar.txt\"), \"bar\")\n run_nbgrader([\"autograde\", \"ps1\", \"--db\", db])\n\n self._make_file(join(course_dir, \"autograded\", \"foo\", \"ps1\", \"blah.pyc\"), \"asdf\")\n run_nbgrader([\"generate_feedback\", \"ps1\", \"--db\", db])\n\n assert isfile(join(course_dir, \"feedback\", \"foo\", \"ps1\", \"p1.html\"))\n assert isfile(join(course_dir, \"feedback\", \"foo\", \"ps1\", \"foo.txt\"))\n assert isfile(join(course_dir, \"feedback\", \"foo\", \"ps1\", \"data\", \"bar.txt\"))\n assert not isfile(join(course_dir, \"feedback\", \"foo\", \"ps1\", \"blah.pyc\"))\n\n # check that it skips the existing directory\n remove(join(course_dir, \"feedback\", \"foo\", \"ps1\", \"foo.txt\"))\n run_nbgrader([\"generate_feedback\", \"ps1\", \"--db\", db])\n assert not isfile(join(course_dir, \"feedback\", \"foo\", \"ps1\", \"foo.txt\"))\n\n # force overwrite the supplemental files\n run_nbgrader([\"generate_feedback\", \"ps1\", \"--db\", db, \"--force\"])\n assert isfile(join(course_dir, \"feedback\", \"foo\", \"ps1\", \"foo.txt\"))\n\n # force overwrite\n remove(join(course_dir, \"autograded\", \"foo\", \"ps1\", \"foo.txt\"))\n run_nbgrader([\"generate_feedback\", \"ps1\", \"--db\", db, \"--force\"])\n assert isfile(join(course_dir, \"feedback\", \"foo\", \"ps1\", \"p1.html\"))\n assert not isfile(join(course_dir, \"feedback\", \"foo\", \"ps1\", \"foo.txt\"))\n assert isfile(join(course_dir, \"feedback\", \"foo\", \"ps1\", \"data\", \"bar.txt\"))\n assert not isfile(join(course_dir, \"feedback\", \"foo\", \"ps1\", \"blah.pyc\"))","def test_5():","def test_force_f(self, db, course_dir):\n run_nbgrader([\"db\", \"assignment\", \"add\", \"ps1\", \"--db\", db])\n run_nbgrader([\"db\", \"student\", \"add\", \"foo\", \"--db\", db])\n\n self._copy_file(join(\"files\", \"submitted-unchanged.ipynb\"), join(course_dir, \"source\", \"ps1\", \"p1.ipynb\"))\n self._make_file(join(course_dir, \"source\", \"ps1\", \"foo.txt\"), \"foo\")\n self._make_file(join(course_dir, \"source\", \"ps1\", \"data\", \"bar.txt\"), \"bar\")\n run_nbgrader([\"generate_assignment\", \"ps1\", \"--db\", db])\n\n self._copy_file(join(\"files\", \"submitted-unchanged.ipynb\"), join(course_dir, \"submitted\", \"foo\", \"ps1\", \"p1.ipynb\"))\n self._make_file(join(course_dir, \"submitted\", \"foo\", \"ps1\", \"foo.txt\"), \"foo\")\n self._make_file(join(course_dir, \"submitted\", \"foo\", \"ps1\", \"data\", \"bar.txt\"), \"bar\")\n run_nbgrader([\"autograde\", \"ps1\", \"--db\", db])\n\n self._make_file(join(course_dir, \"autograded\", \"foo\", \"ps1\", \"blah.pyc\"), \"asdf\")\n run_nbgrader([\"generate_feedback\", \"ps1\", \"--db\", db])\n\n assert isfile(join(course_dir, \"feedback\", \"foo\", \"ps1\", \"p1.html\"))\n assert isfile(join(course_dir, \"feedback\", \"foo\", \"ps1\", \"foo.txt\"))\n assert isfile(join(course_dir, \"feedback\", \"foo\", \"ps1\", \"data\", \"bar.txt\"))\n assert not isfile(join(course_dir, \"feedback\", \"foo\", \"ps1\", \"blah.pyc\"))\n\n # check that it skips the existing directory\n remove(join(course_dir, \"feedback\", \"foo\", \"ps1\", \"foo.txt\"))\n run_nbgrader([\"generate_feedback\", \"ps1\", \"--db\", db])\n assert not isfile(join(course_dir, \"feedback\", \"foo\", \"ps1\", \"foo.txt\"))\n\n # force overwrite the supplemental files\n run_nbgrader([\"generate_feedback\", \"ps1\", \"--db\", db, \"-f\"])\n assert isfile(join(course_dir, \"feedback\", \"foo\", \"ps1\", \"foo.txt\"))\n\n # force overwrite\n remove(join(course_dir, \"autograded\", \"foo\", \"ps1\", \"foo.txt\"))\n run_nbgrader([\"generate_feedback\", \"ps1\", \"--db\", db, \"--force\"])\n assert isfile(join(course_dir, \"feedback\", \"foo\", \"ps1\", \"p1.html\"))\n assert not isfile(join(course_dir, \"feedback\", \"foo\", \"ps1\", \"foo.txt\"))\n assert isfile(join(course_dir, \"feedback\", \"foo\", \"ps1\", \"data\", \"bar.txt\"))\n assert not isfile(join(course_dir, \"feedback\", \"foo\", \"ps1\", \"blah.pyc\"))","def main():\n for filename in sys.argv[1:]:\n test(filename)","def test_step(self):\n # allow to escape testing by setting runtest to False\n if not self.cfg['runtest'] and not isinstance(self.cfg['runtest'], bool):\n\n # make very sure OMP_NUM_THREADS is set to 1, to avoid hanging GROMACS regression test\n env.setvar('OMP_NUM_THREADS', '1')\n\n self.cfg['runtest'] = 'check'\n if self.cfg['parallel']:\n # run 'make check' in parallel since it involves more compilation\n self.cfg.update('runtest', \"-j %s\" % self.cfg['parallel'])\n super(EB_GROMACS, self).test_step()","def setUp(self):\n\t\tself.filename = 'text_analysis_test_file.txt'\n\t\twith open(self.filename, 'wt') as f:\n\t\t\tf.write(\"Now we are engaged in a great civil war.\\n\"\n\t\t\t\t\t\"testing whether that nation, \\n\"\n\t\t\t\t\t\"or other nation so conceived and so dedicated,\\n\"\n\t\t\t\t\t\"can long endure\")","def test(build, cleanup, filename, service_name, verbose):\n set_verbosity(verbose)\n hokusai.test(build, cleanup, filename, service_name)","def task_test():\n return {\n 'actions': ['py.test tests/'],\n }","def spec_tests():\n pass","def test(cline):\n print(\"Running unit tests.\")\n cline.run(\"TF_CPP_MIN_LOG_LEVEL=3 python3 -m unittest\")","def run_tests():\n test_command = \"pytest -s \" + os.path.join(root_path, \"cases\", \"test_cases.py::TestCases::test_cases\") + \" --html=\" + os.path.join(root_path, \"reports\", \"qa_testing_report.html\")\n\n subprocess.run(test_command, shell=True)","def _main():\r\n @enum.unique\r\n class Verbosity(enum.IntEnum):\r\n NOTHING = 0\r\n SIMPLE = 1\r\n DETAIL = 2\r\n\r\n CURRENT_PATH = Path('./file/report.txt')\r\n EXEC_DATETIME = datetime.today()\r\n FILE_MOD_DATETIME = datetime.fromtimestamp(CURRENT_PATH.stat().st_mtime)\r\n LOG_PATH = CURRENT_PATH.with_name(\r\n CURRENT_PATH.stem + f'_{EXEC_DATETIME.date()}.log')\r\n \r\n with open(CURRENT_PATH, mode='w') as fw:\r\n fw.write(\r\n f'[Date of script modification] {str(FILE_MOD_DATETIME)}\\n'\r\n f'[Date of this test execution] {str(EXEC_DATETIME)}\\n'\r\n '\\n')\r\n\r\n unittest.main(\r\n module=\"tests.test_login\", \r\n testRunner=unittest.TextTestRunner(\r\n stream=fw,\r\n descriptions=False,\r\n verbosity=Verbosity.DETAIL))","def test_documentation_popxl_mnist_rts_train_test(self):\n filename = \"mnist_rts.py --replication-factor 2 --rts --test\"\n self.run_python(filename, file_dir=working_dir, working_dir=working_dir)","def test_passed():\n pass","def main():\n run_test_all()","def target_test_file_name():\n return 'test'","def runTest(self):\n # TODO: this should be split into multiple tests\n pagename = self._tester.create_wiki_page()\n self._tester.attach_file_to_wiki(pagename)","def main():\n\n parser = argparse.ArgumentParser(description=\"generateTestStubs\")\n\n parser.add_argument(\"taskFile\",\n help=\"Path for assignment file.\")\n\n args = parser.parse_args()\n\n if not os.path.exists(args.taskFile):\n print(\"Task file does not exist.\")\n sys.exit(1)\n\n taskMgr = EEWebLPProject()\n taskMgr.initLP()\n\n #taskMgr.listProjects()\n #taskMgr.loadTree([\"project_id=8008922\"])\n tasks = taskMgr.getTasks([\"project_id=6890048\"],parent_id=8008922)\n\n fileByAssignee = taskMgr.getTaskOwners(args.taskFile)\n taskMgr.updateTaskOwners(fileByAssignee,tasks)","def test_4():","def test(self, cmdline):\n\n if tm.UPDATE_BEFORE_TEST:\n print \"Updating directory of source ...\"\n mu.update_dir(tm.SOURCE_DIR)\n\n args = mu.get_second_arg(cmdline).strip().split()\n if len(args) == 0:\n print \"Invalid command, test [sourcename] ([maxThread] ([pageLimit]))\"\n return\n elif len(args) == 1:\n self.sourcename, = args\n self.max_thread = '5'\n self.page_limit = '2'\n elif len(args) == 2:\n self.sourcename, self.max_thread = args\n self.page_limit = '2'\n elif len(args) == 3:\n self.sourcename, self.max_thread, self.page_limit = args\n\n print \"Searching directory of %s ...\" % self.sourcename\n self.sourcedir = mu.search_for_source(self.sourcename)\n if not self.sourcedir:\n print \"Directory of %s doesn't exist.\\n\" % self.sourcename\n return\n\n self.sourcetype = self.get_source_type()\n if self.sourcetype == 'blog':\n process = BlogProcess(self.sourcename, self.sourcedir)\n config_files = ('%s.xq' % self.sourcename, 'config.xml', 'globalConfig.xml', 'subSourceConfig.xml')\n elif self.sourcetype == 'forum':\n process = ForumProcess(self.sourcename, self.sourcedir, string.atoi(self.max_thread), self.page_limit)\n config_files = ('%s-url.xq' % self.sourcename, '%s-thread.xq' % self.sourcename, 'finished.xml', 'webForumConfiguration.xml')\n self.test_source(process, self.sourcedir, config_files)","def setUp(self):\n self._file = 'test.g3'\n write_example_file(self._file)","def test():\n loader = unittest.TestLoader()\n suite = loader.discover(os.path.dirname(__file__))\n runner = unittest.TextTestRunner()\n runner.run(suite)","def test_jam_attempt(self):\n self.run_test_suites(self.jam_test_suite_list)","def test_T01():","def test_run(self):\n files = [\n (\"AS1-1.phy_r8s.txt\", \"AS1-1.phy_r8s.txt_2.5.txt\"),\n (\"AS1-3.phy_r8s.txt\", \"AS1-3.phy_r8s.txt_2.5.txt\"),\n (\"AS1-4.phy_r8s.txt\", \"AS1-4.phy_r8s.txt_2.5.txt\"),\n ]\n for file_pair in files:\n input_file = file_pair[0]\n expected_file = file_pair[1]\n infile = self.test_data_path + input_file\n outfile = self.test_data_path + expected_file\n divnum = 2.5\n result = run(infile, divnum)\n\n with open(outfile) as handle:\n expected_result = handle.read()\n self.assertEqual(expected_result, result)","def test_create_run(self):\n pass","def test_3():","def test(self):\n pass","def reportThisTestRun(suiteName, make_benchmarks, comment, note, cvsTime, tests, testDir, testFile, fullWebDir):\n \n # get the current directory\n currentDir = os.getcwd()\n \n # switch to the web directory and open the report file\n os.chdir(fullWebDir)\n\n\n # keep track of the number of tests that passed and the number that failed\n numFailed = 0\n numPassed = 0\n\n \n #--------------------------------------------------------------------------\n # generate the HTML page for this run of the test suite\n #--------------------------------------------------------------------------\n\n # check to see if the CSS file is present, if not, write it\n if (not os.path.isfile(\"tests.css\")):\n create_css()\n\n\n # create the master filename\n htmlFile = \"index.html\"\n \n hf = open(htmlFile, 'w')\n\n newHead = HTMLHeader + r\"\"\"<CENTER><H1><A HREF=\"../\">@TESTDIR@</A> / @TESTNAME@</H1></CENTER>\"\"\"\n\n newHead = newHead.replace(\"@TESTDIR@\", suiteName)\n newHead = newHead.replace(\"@TESTNAME@\", testDir)\n\n hf.write(newHead)\n\n if (not note == \"\"):\n hf.write(\"<p><b>Test run note:</b><br><font color=\\\"gray\\\">%s</font>\\n\" % (note) )\n \n if (make_benchmarks):\n hf.write(\"<p><b>Benchmarks updated</b><br>comment: <font color=\\\"gray\\\">%s</font>\\n\" % (comment) )\n hf.write(\"<p> \\n\")\n\n \n hf.write(\"<p><b>test input parameter file:</b> <A HREF=\\\"%s\\\">%s</A>\\n\" %\n (testFile, testFile) )\n\n hf.write(\"<p> \\n\")\n hf.write(\"<p><b>CVS update was done at: </b>%s\\n\" % (cvsTime) )\n\n sourceTree = getParam(\"main.sourceTree\")\n\n if (sourceTree == \"Parallel\"):\n hf.write(\"<p> <b>cvs update on Parallel/:</b> <A HREF=\\\"%s\\\">%s</A>\\n\" %\n (\"cvs.Parallel.out\", \"cvs.Parallel.out\") )\n\n hf.write(\"<p> <b>cvs update on fParallel/:</b> <A HREF=\\\"%s\\\">%s</A>\\n\" %\n (\"cvs.fParallel.out\", \"cvs.fParallel.out\") ) \n hf.write(\"<p> \\n\")\n\n\n if (sourceTree == \"Parallel\"):\n hf.write(\"<p> <b>Parallel/ ChangeLog:</b> <A HREF=\\\"%s\\\">%s</A>\\n\" %\n (\"ChangeLog.Parallel\", \"ChangeLog.Parallel\") )\n \n hf.write(\"<p> <b>fParallel/ ChangeLog:</b> <A HREF=\\\"%s\\\">%s</A>\\n\" %\n (\"ChangeLog.fParallel\", \"ChangeLog.fParallel\") ) \n hf.write(\"<p> \\n\") \n\n hf.write(\"<P><TABLE BORDER=0 CELLPADDING=3>\\n\")\n \n # loop over the tests and add a line for each\n for test in tests:\n\n if (not make_benchmarks):\n \n # check if it passed or failed\n statusFile = \"%s.status\" % (test)\n\n sf = open(statusFile, 'r')\n lines = sf.readlines()\n\n testPassed = 0\n \n for line in lines:\n if (string.find(line, \"PASSED\") >= 0):\n testPassed = 1\n numPassed += 1\n break\n\n if (not testPassed):\n numFailed += 1\n\n \n sf.close()\n\n # write out this test's status\n hf.write(\"<TR><TD><A HREF=\\\"%s.html\\\">%s</A></TD><TD> </TD>\" %\n (test, test) )\n \n if (testPassed):\n hf.write(\"<TD><H3 class=\\\"passed\\\">PASSED</H3></TD></TR>\\n\")\n else:\n hf.write(\"<TD><H3 class=\\\"failed\\\">FAILED</H3></TD></TR>\\n\")\n\n \n hf.write(\"<TR><TD> </TD></TR>\\n\")\n\n\n else:\n\n if (getParam(test + \".restartTest\")):\n continue\n\n if (getParam(test + \".compileTest\")):\n continue\n\n if (getParam(test + \".selfTest\")):\n continue\n\n \n # the benchmark was updated -- find the name of the new benchmark file\n benchStatusFile = \"%s.status\" % (test)\n\n bf = open(benchStatusFile, 'r')\n lines = bf.readlines()\n\n benchFile = \"none\"\n\n for line in lines:\n index = string.find(line, \"file:\")\n if (index >= 0):\n benchFile = line[index+5:]\n break\n \n\n if (not benchFile == \"none\"):\n \n hf.write(\"<TR><TD>%s</TD><TD> </TD><TD><H3 class=\\\"benchmade\\\">BENCHMARK UPDATED</H3></TD><TD> </TD><TD>(new benchmark file is %s)</TD></TR>\\n\" %\n (test, benchFile) )\n else:\n hf.write(\"<TR><TD>%s</TD><TD> </TD><TD><H3 class=\\\"failed\\\">BENCHMARK NOT UPDATED</H3></TD><TD> </TD><TD>(compilation or execution failed)</TD></TR>\\n\" %\n (test) )\n \n hf.write(\"<TR><TD> </TD></TR>\\n\")\n\n\n hf.write(\"</TABLE>\\n\") \n\n # close\n hf.write(\"</BODY>\\n\")\n hf.write(\"</HTML>\\n\") \n\n hf.close()\n\n\n #--------------------------------------------------------------------------\n # write out a status file for all the tests\n #--------------------------------------------------------------------------\n \n index = string.find(testDir, \"/\")\n statusFile = testDir[0:index] + \".status\"\n\n sf = open(statusFile, 'w')\n\n if (not make_benchmarks):\n if (numFailed == 0):\n sf.write(\"ALL PASSED\\n\")\n elif (numFailed > 0 and numPassed > 0):\n sf.write(\"SOME FAILED\\n\")\n else:\n sf.write(\"ALL FAILED\\n\")\n\n else:\n sf.write(\"BENCHMARKS UPDATED\\n\")\n \n sf.close()\n \n \n # switch back to the original directory\n os.chdir(currentDir)","def run(self):\n\n config = self.config\n\n # Start fuzzy matcher\n files = self.load_files_info()\n real = config.get('students.ids', [])\n matcher = FuzzyMatcher(files.keys(), real)\n\n # Remove certain matches\n author_map = matcher.remove_exact(config.get_all_student_aliases())\n matcher.fill_distances()\n matcher.set_distance_threshold(0.90)\n\n # Match each missing author with the given real name\n while matcher.shape[0] != 0 and False:\n given_, real_ = matcher.closest_pair()\n click.echo(f'\\nBest match for {given_}')\n matches = self.ask_matches(given_, matcher.best_matches(given_, 5))\n\n if matches:\n for match in matches:\n matcher.remove_pair(given_, match)\n config.add_student_aliases(match, [given_])\n author_map[given_] = match\n else:\n matcher.remove_given(given_)\n\n # Save files\n read_zip = lambda x: self.zipfile.open(x).read()\n\n for k, f in files.items():\n if k in author_map:\n data = read_zip(f.filename)\n for name in author_map[k]:\n path = Path(f'submitted/{name}/{self.category}/{self.name}.ipynb')\n path.parent.mkdir(parents=True, exist_ok=True)\n if not os.path.exists(path):\n with open(path, 'wb') as fd:\n fd.write(data)","def test_written(self):\n\n checkit=subprocess.run([\"python\", \"../../taxonomy/src_files/rdp_lineage_to_tax.py\", \"-i\", \"../resource_files/rdp_test_taxonomy.csv\", \"-o\", \"test_rdp_taxonomy\"], capture_output=True, text=True)\n \n # is the folder there\n self.assertTrue(os.path.exists(os.path.exists(\"../processed_files/rdp_prep_taxonomy\")))\n \n # there should be 2 files in there\n files_in_dir=os.listdir(\"../processed_files/rdp_prep_taxonomy\")\n self.assertEqual(len(files_in_dir), 2)\n \n for x in files_in_dir:\n if x.split('.')[-1]=='txt':\n taxonomy_file=x\n \n # does the test match the provided actual output\n # rdp_team_taxonomy_check can be found on https://github.com/rdpstaff/classifier/issues/18\n self.assertTrue(filecmp.cmp(\"../resource_files/rdp_team_taxonomy_check.txt\", \"../processed_files/rdp_prep_taxonomy/{}\".format(taxonomy_file)))\n \n shutil.rmtree(\"../processed_files/rdp_prep_taxonomy\")","def test_execute_review_4(self):\n review.execute_review(self.alchemist, self.test_dir,\n self.review_test_dir.name,\n sort=[\"gene.Name\"])\n\n self.assertTrue(self.review_test_dir.is_dir())","def run(cls): \n tests_to_run = cls.config.TESTS # A list of 5-tuple elements specifying the tests to run. See the\n # 'Test Setup' section in config.py.template for more info.\n test_group_name = \"Alchemist Tests\" # A short string identifier for this test run.\n output_dir = cls.config.OUTPUT_DIR # The output file where we write results.\n \n try:\n os.makedirs(output_dir,0o777)\n except:\n pass\n num_tests_to_run = len(tests_to_run)\n\n print(OUTPUT_DIVIDER_STRING)\n if num_tests_to_run == 1:\n print(\"Running %d test in %s\" % (num_tests_to_run, test_group_name))\n else:\n print(\"Running %d tests in %s\" % (num_tests_to_run, test_group_name))\n failed_tests = []\n\n cls.before_run_tests()\n \n spark_settings = []\n for i in cls.config.SPARK_SETTINGS:\n spark_settings.append(i.to_array()[0])\n \n output_settings = []\n for i in cls.config.OUTPUT_SETTINGS:\n output_settings.append(i.to_array()[0])\n \n main_class = \"altest.AlTest\"\n\n for meta_data, opt_sets in tests_to_run:\n print(OUTPUT_DIVIDER_STRING + '\\n')\n# print(\"Running test command: '%s' ... \" % main_class)\n \n meta = {}\n meta_pairs = [i.to_tuple() for i in meta_data]\n for mp in meta_pairs:\n meta[mp[0].replace('-', '_')] = mp[1].replace('0x20', ' ')\n \n meta_settings = []\n for i in meta_data:\n meta_settings.append(i.to_array()[0])\n \n# stdout_filename = \"%s/%s.out\" % (output_dir, meta['short_name'])\n# stderr_filename = \"%s/%s.err\" % (output_dir, meta['short_name'])\n# \n# out_file = open(output_dir + \"/\" + meta['short_name'] + \".out\", 'w')\n\n # Run a test for all combinations of the OptionSets given, then capture\n # and print the output.\n opt_set_arrays = [i.to_array() for i in opt_sets]\n for opt_list in itertools.product(*opt_set_arrays):\n\n cmd = cls.get_spark_submit_cmd(spark_settings, main_class, output_settings, meta_settings, opt_list)\n# print(\"\\nSetting env var SPARK_SUBMIT_OPTS: %s\" % java_opts_str)\n# test_env[\"SPARK_SUBMIT_OPTS\"] = java_opts_str\n print(\"Running command:\")\n print(\"%s\\n\" % cmd)\n Popen(cmd, shell=True, env=test_env).wait()\n\n try:\n src = output_dir + meta['short_name'] + '_latest/'\n src_files = os.listdir(src)\n src_file = src_files[0][:-4]\n new_dir = output_dir + src_file\n os.makedirs(new_dir)\n for file_name in src_files:\n full_file_name = os.path.join(src, file_name)\n if (os.path.isfile(full_file_name)):\n shutil.copy(full_file_name, new_dir)\n except:\n pass\n \n# result_string = cls.process_output(config, meta['short_name'], opt_list,\n# stdout_filename, stderr_filename)\n# print(OUTPUT_DIVIDER_STRING)\n# print(\"\\nResult: \" + result_string)\n# print(OUTPUT_DIVIDER_STRING)\n# if \"FAILED\" in result_string:\n# failed_tests.append(meta['short_name'])\n# \n# \n# out_file.write(result_string + \"\\n\")\n# out_file.flush()\n\n if num_tests_to_run == 1:\n print(\"Finished running %d test in %s.\" % (num_tests_to_run, test_group_name))\n else:\n print(\"Finished running %d tests in %s.\" % (num_tests_to_run, test_group_name))\n# print(\"\\nNumber of failed tests: %d, failed tests: %s\" %\n# (len(failed_tests), \",\".join(failed_tests)))\n print(OUTPUT_DIVIDER_STRING)","def run_tests(remit, sourcelist):\n for source in sourcelist:\n # - move into source's directory\n os.chdir(source)\n # - build worklist of commands\n commands = list()\n commands += test_matrix(remit, source)\n commands += extra_tests(remit, source)\n commands = remove_blacklist(remit, source, commands)\n # - run the commands\n for i, command in enumerate(commands):\n print('[test %s: %s of %d] %s'\n % (source,\n str(i+1).rjust(len(str(len(commands)))),\n len(commands),\n ' '.join(command)))\n subprocess.call(command)\n # - move out of source's directory\n os.chdir('..')","def test(self):\n # -- Test --\n\n # (1)\n\n # (2)\n\n # (3)\n\n # (4)\n # -- Test --","def setUp(self):\n with open(\"temp.txt\", 'w') as index_file:\n index_file.write(\"mutex\\nsemaphore\\nthread\\nsynchronization\")\n self.book_text = \"\"\"As already discussed in Synchronization, Part 3: Working with\nMutexes And Semaphores, there are critical parts of our code that\ncan only be executed by one thread at a time. We describe this\nrequirement as `mutual exclusion'; only one thread (or process) may have\naccess to the shared resource.\"\"\"","def startTestRun(self):","def test(self):\n cmd = TaskCreator.get_pytest() + \" \"\n options = ('-vv '\n '-n auto '\n '--ignore=tests/experiments/ '\n '--html=build/tests/html/tests.html '\n '--junitxml=build/tests/xml/tests.xml '\n '--cov ' + self.project_name_sc + ' '\n '--cov-report term '\n '--cov-report html:build/tests/coverage/html '\n '--cov-report xml:build/tests/coverage/xml/coverage.xml ')\n return {\n \"actions\": [cmd + options],\n \"verbosity\": 2\n }","def run_tests():\n with open('buildspec.yml', 'r') as stream:\n buildspec: dict = yaml.load(stream)\n test_commands = buildspec.get('tests', [])\n if len(test_commands) == 0:\n exit(0)\n\n results = []\n\n for test_command in test_commands:\n print(f'Running `{test_command}`')\n p = subprocess.Popen(test_command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)\n output = ''\n for c in iter(p.stdout.readline, b''):\n str_line = c if type(c) is str else c.decode('UTF-8')\n sys.stdout.write(str_line)\n output += str_line\n\n p.communicate()\n results.append({\n 'command': test_command,\n 'status': 'passed' if p.returncode == 0 else 'failed',\n 'output': output\n })\n\n post_to_github(results)","def test_quickstart_f(self):\n\n run_nbgrader([\"quickstart\", \"example\"])\n\n # it should fail if it already exists\n run_nbgrader([\"quickstart\", \"example\"], retcode=1)\n\n # it should succeed if --force is given\n os.remove(os.path.join(\"example\", \"nbgrader_config.py\"))\n run_nbgrader([\"quickstart\", \"example\", \"-f\"])\n assert os.path.exists(os.path.join(\"example\", \"nbgrader_config.py\"))\n\n # nbgrader validate should work\n os.chdir(\"example\")\n for nb in os.listdir(os.path.join(\"source\", \"ps1\")):\n if not nb.endswith(\".ipynb\"):\n continue\n output = run_nbgrader([\"validate\", os.path.join(\"source\", \"ps1\", nb)], stdout=True)\n assert output.strip() == \"Success! Your notebook passes all the tests.\"\n\n # nbgrader generate_assignment should work\n run_nbgrader([\"generate_assignment\", \"ps1\"])","def regression_test():\n set_test_cache()\n fetch.DATA_SOURCES = config.data_sources\n path = abspath(joinpath(dirname(__file__), 'regression_files'))\n\n data_files = [p for f in listdir(path)\n for p in [joinpath(path, f)]\n if isfile(p)]\n for file in data_files:\n test = lambda: regression.replay_file(file)\n test.description = \"Regression test on %s\"%file\n yield test","def setUp(self):\n self.filename = os.path.join(abs_file_path, \"Text_analysis_test_file.txt\")\n with open(self.filename, 'w') as f:\n f.write('Now we are engaged in a great civil war.\\n'\n 'testing wheether that nation,\\n'\n 'or any nation so conceived and so dedicated,\\n'\n 'can long endure.')","def run_tests(sample_dir):\n print(\"Preparing tests\")\n sample_files = file.find_all_files(sample_dir)\n total_files = len(sample_files)\n progress = 0\n results = [] # [[success, correct, filename, time, confidence, found_id],...]\n for sample_file in sample_files:\n progress += 1\n print(\"\\rRunning tests (%d/%d)...\" % (progress, total_files), end=\"\")\n sample_file_path = os.path.join(sample_dir, sample_file)\n is_valid, song_id = file.get_song_id_from_filename(sample_file)\n if not is_valid:\n print(\"File %s doesn't have a valid filename, skipping\" % sample_file)\n continue\n if song_id == 0:\n continue\n success, confidences, found_song_id, result, time, title, artist = match.match_file(sample_file_path)\n correct = song_id == found_song_id or (not success and song_id == 0)\n results.append([success, correct, sample_file, time, confidences[0][1], found_song_id])\n total_results = 0\n total_successful_results = 0\n total_correct_results = 0\n total_correct_successful_results = 0\n total_time = 0\n times = []\n for result in results:\n total_results += 1\n total_time += result[3]\n times.append(result[3])\n if not result[0]:\n if result[1]:\n print(\"Could not find %s in the database in %fs, as expected\" % (result[2], result[3]))\n total_correct_results += 1\n else:\n print(\"File %s could not be matched in %fs\" % (result[2], result[3]))\n else:\n total_successful_results += 1\n if result[1]:\n print(\"File %s was correctly matched with a confidence of %f in %fs\" % (result[2], result[4], result[3]))\n total_correct_results += 1\n total_correct_successful_results += 1\n else:\n print(\"File %s was incorrectly matched with a confidence of %f in %fs. (found %d)\" % (result[2], result[4], result[3], result[5]))\n print(\"========================================================================\")\n print(\" Tests run: %d\" % total_results)\n print(\" Tests successful: %d\" % total_successful_results)\n print(\" Tests correct: %d\" % total_correct_results)\n print(\"------------------------------------------------------------------------\")\n print(\" Average time: %fs\" % (total_time/total_results))\n print(\" 90-percentile: %fs\" % get_90_percentile(times))\n print(\" Percentage correct of successful: %f\" % ((float(total_correct_successful_results)/total_successful_results)*100))\n print(\" Percentage correct of total: %f\" % ((float(total_correct_results)/total_results)*100))\n print(\"========================================================================\")","def test(self):\n pdb_path = join_path(self.test_suite.current_test_cache_dir, \"pdb\")\n self.run_test(\n \"mkdssp\",\n options=[\"1ALK.pdb\", \"1alk.dssp\"],\n purpose=\"test: calculating structure for example\",\n installed=True,\n work_dir=pdb_path,\n )","def submit_simulation(sim_dir, job_file):\n subprocess.run(['sbatch', job_file], cwd=sim_dir)\n pass","def runTest(self):\n self.setUp()\n self.test_MarkupsInViewsSelfTest1()","def runalltests():\n doctest.testmod()","def test():\n for cmd in [\n \"pytest --verbose --cov pike/ --cov-report term --cov-report html tests/\",\n ]:\n _run_in_venv(shlex.split(cmd))\n for linter in [[\"black\", \"--check\"], [\"flake8\"], [\"isort\", \"--check\"]]:\n _run_in_venv(linter + TEST_FILES)\n\n _run_in_venv(\n [\"mypy\", \"pike/\", \"tests/\", \"setup.py\", \"pikefile.py\", \"--show-error-codes\"]\n )\n _run_in_venv([\"mypy\", \"examples/\"])\n _run_in_venv([\"bandit\", \"-r\", \"pike/\"])","def test_something():","def theTests(path_to_code_to_check=\"../me\"):\n print(\"\\nWelcome to the exam!\")\n print(\"May the odds be ever in your favour.\\nEspecially today!\")\n\n if ex_runs(path_to_code_to_check, exerciseNumber=1, weekNumber=SET_NUMBER):\n exam = loadExerciseFile(\n path_to_code_to_check, weekNumber=SET_NUMBER, exerciseNumber=1\n )\n\n # testResults.append(test(test_flake8(ex1path), \"pass the linter\"))\n exam_test(\n True,\n [],\n exam.string_please,\n finishing_function=lambda x: type(x) is str,\n extra_message=\"Don't over think this! just return a string!\",\n )\n exam_test(\n True,\n [],\n exam.list_please,\n finishing_function=lambda x: type(x) is list,\n extra_message=\"Don't over think this! just return a list!\",\n )\n exam_test(\n True,\n [],\n exam.dictionary_please,\n finishing_function=lambda x: type(x) is dict,\n extra_message=\"Don't over think this! just return a dictionary!\",\n )\n exam_test(True, [5], exam.is_it_5)\n exam_test(False, [4], exam.is_it_5)\n exam_test(False, [\"cats\"], exam.is_it_5)\n exam_test(0, [5], exam.take_five)\n exam_test(5, [10], exam.take_five)\n exam_test(-5, [0], exam.take_five)\n\n exam_test(\"Hello the Queen\", [\"the Queen\"], exam.greet)\n exam_test(\"Hello Pr♂nc♀♂\", [\"Pr♂nc♀♂\"], exam.greet)\n\n exam_test(4, [[3, 3, 3, 3, 1]], exam.three_counter)\n exam_test(0, [[0, 1, 2, 5, -9]], exam.three_counter)\n\n exam_test(2, [7], exam.n_counter)\n exam_test(5, [0, [0, 0, 0, 0, 0, [0]]], exam.n_counter)\n\n # fmt: off\n fizza = [\n 1, 2, \"Fizz\", 4, \"Buzz\", \"Fizz\", 7, 8, \"Fizz\", \"Buzz\", 11, \"Fizz\", \n 13, 14, \"FizzBuzz\", 16, 17, \"Fizz\", 19, \"Buzz\", \"Fizz\", 22, 23, \n \"Fizz\", \"Buzz\", 26, \"Fizz\", 28, 29, \"FizzBuzz\", 31, 32, \"Fizz\", 34, \n \"Buzz\", \"Fizz\", 37, 38, \"Fizz\", \"Buzz\", 41, \"Fizz\", 43, 44, \n \"FizzBuzz\", 46, 47, \"Fizz\", 49, \"Buzz\", \"Fizz\", 52, 53, \"Fizz\", \n \"Buzz\", 56, \"Fizz\", 58, 59, \"FizzBuzz\", 61, 62, \"Fizz\", 64, \"Buzz\", \n \"Fizz\", 67, 68, \"Fizz\", \"Buzz\", 71, \"Fizz\", 73, 74, \"FizzBuzz\", 76, \n 77, \"Fizz\", 79, \"Buzz\", \"Fizz\", 82, 83, \"Fizz\", \"Buzz\", 86, \"Fizz\", \n 88, 89, \"FizzBuzz\", 91, 92, \"Fizz\", 94, \"Buzz\", \"Fizz\", 97, 98, \n \"Fizz\", \"Buzz\", ]\n # fmt: on\n exam_test(fizza, [], exam.fizz_buzz)\n\n exam_test(\n \"|a| |s|e|r|i|a|l| |k|i|l|l|e|r|\", [\"a serial killer\"], exam.put_behind_bars\n )\n exam_test(\"|a| |b|a|r|t|e|n|d|e|r|\", [\"a bartender\"], exam.put_behind_bars)\n\n exam_test([\"red fox\"], [\"x\"], exam.pet_filter)\n exam_test([], [\"q\"], exam.pet_filter)\n exam_test(\n [\"pig\", \"sheep\", \"guinea pig\", \"pigeon\", \"alpaca\", \"guppy\"],\n [\"p\"],\n exam.pet_filter,\n )\n\n exam_test(\"e\", [], exam.best_letter_for_pets)\n\n word_lengths = [[3, 3, 3], [4, 4, 4], [5, 5, 5], [6, 6, 6], [7, 7, 7]]\n exam_test(\n word_lengths,\n [],\n exam.make_filler_text_dictionary,\n lambda x: [[len(w) for w in x[k]] for k in x.keys()],\n )\n\n exam_test(\n True,\n [50],\n exam.random_filler_text,\n lambda x: len(x.split(\" \")) == 50 and len(x) > 3 * 50,\n )\n\n exam_test(\n True,\n [1000],\n exam.random_filler_text,\n lambda x: len(x.split(\" \")) == 1000 and len(x) > 3 * 1000,\n )\n\n clean_out_old_env()\n\n exam_test(\n True,\n [100],\n exam.fast_filler,\n lambda x: len(x.split(\" \")) == 100 and len(x) > 3 * 100,\n # chdir=True, # NFI what this does :(\n )\n\n # exam_test(True, [\"./week8/dict_racey.json\"], os.path.exists)\n\n exam_test(\n True,\n [10],\n exam.fast_filler,\n lambda x: x[0] in string.ascii_uppercase and x[1] in string.ascii_lowercase,\n \"Test if fast_filler is capitalised\",\n )\n exam_test(\n True,\n [10],\n exam.fast_filler,\n lambda x: x[-1] == \".\",\n \"Test if fast_filler finishes with a .\",\n )\n\n print(\n \"The point of saving the dictionary is that it's fast!\",\n \"The pattern of saving a value locally so that you don't\",\n \"need to go and get it is called caching.\",\n \"This test runs fast_filler 10 times, and if it manages it in less\",\n \"than a second, then you're good to go!\",\n sep=\"\\n\",\n )\n try:\n TIMEOUT_IN_SECONDS = 1\n func_timeout(\n TIMEOUT_IN_SECONDS,\n lambda: [exam.fast_filler(1000) for _ in range(10)],\n args=[],\n )\n testResults.append(test(True, \"subsequent fast_filler\"))\n except FunctionTimedOut as t:\n m = (\n \"Timed out trying to run fast filler 10 times in 1 second, \"\n \"subsequent fast_filler probably wasn't fast enough\"\n )\n print(m, str(t))\n testResults.append(test(False, m + str(t)))\n except Exception as e:\n testResults.append(test(False, \"subsequent fast_filler failed: \" + str(e)))\n\n message = (\n \"Cowabunga! You've got all the tests passing!\\n\"\n \"Well done, that's all the exercises for this term out of the way!\"\n )\n print(testResults)\n return finish_up(testResults, message, nyan_cat())","def run_tests(self):\n\n self.manifest_path = os.path.join('tests',\n 'l10n',\n 'manifest.ini')\n TestRun.run_tests(self)","def task_test():\n return {\n \"actions\": [[\"pytest\", \"--cov=mad_gui\", \"--cov-config=.coveragerc\", \"-vv\"]],\n \"verbosity\": 2,\n }","def test_message_as_student(self, do_student_launch):\n\n response = do_student_launch()\n\n assert_launched_as_student(response)","def test_execute_review_7(self):\n review.execute_review(self.alchemist, self.test_dir,\n self.review_test_dir.name,\n s_report=True)\n\n self.assertTrue(self.review_test_dir.is_dir())\n\n summary_report_file = self.review_test_dir.joinpath(\"SummaryReport.txt\")\n self.assertTrue(summary_report_file.is_file())","def main_tester():\n create_tester_paths()\n _logger.info(' -- tester init done setting up paths and db file.')","def test():\n pass","def test_all():\n test_prepare_text()\n test_end_chat()\n test_choose_author()\n test_choose_book()","def test():\n current_directory = os.getcwd()\n os.chdir(PACKAGE_DIR)\n pytest.main()\n os.chdir(current_directory)","def test_text_classifier_add_testing_samples(self):\n pass","def run_tests(self):\n\n self.manifest_path = os.path.join('tests',\n 'functional',\n 'manifest.ini')\n TestRun.run_tests(self)","def run(self):\n if self.verbose:\n print(f'Running {self.name} tests...')\n\n # try running setup if there is one\n if self.setup:\n self.__process_setup()\n\n final_report = [None] * len(self.tests)\n\n for test_in, test_out in sorted(self.tests.items()):\n # increment total num of tests\n self.total += 1\n\n if self.verbose:\n print(f'#{self.total}')\n\n # evaluate test input w/ setup vars, if any\n try:\n inp = eval(test_in, self.vars)\n except Exception as err:\n print(f'Issue during evaluation of test input: {err}')\n final_report[self.total - 1] = 'input eval error'\n if self.verbose:\n print(f'Test input was: {test_in}')\n print('Vars from execution: {}'.format({k : v for k, v in self.vars.items() if k != '__builtins__'}))\n continue\n\n \n # checking if function input has more than one arg\n if type(inp) in (list, tuple):\n try:\n student_out = self.student_function(*inp)\n except Exception as err:\n print(f'Issue while running student code: {err}')\n final_report[self.total - 1] = f'student code error: {err}; input: {inp}; func_name: {self.name}'\n if self.verbose:\n print(f'Function being run was: {self.name}')\n print(f'Inputs were: {inp}')\n continue\n else:\n try:\n student_out = self.student_function(inp)\n except Exception as err:\n print(f'Issue while running student code: {err}')\n final_report[self.total - 1] = f'student code error: {err}; input: {inp}; func_name: {self.name}'\n if self.verbose:\n print(f'Function being run was: {self.name}')\n print(f'Input was: {inp}')\n continue\n\n # ans alias for ease of answer checking\n self.vars['ans'] = student_out\n\n if self.schema:\n format_vals = eval(test_out, self.vars)\n results, maybe_failed_schema = self.__process_schema(format_vals)\n if all(results):\n self.correct += 1\n final_report[self.total - 1] = 'PASSED'\n else:\n # failed at least one of the tests\n failed_str = \" and \".join([\", \".join(maybe_failed_schema[:-1]),maybe_failed_schema[-1]] if len(maybe_failed_schema) > 2 else maybe_failed_schema)\n final_report[self.total - 1] = f'FAILED; failed following assertion(s): {failed_str}'\n else:\n expected_ans = eval(test_out, self.vars)\n if student_out == expected_ans:\n self.correct += 1\n final_report[self.total - 1] = 'PASSED'\n else:\n # failed the only test\n final_report[self.total - 1] = f'FAILED; got {repr(student_out)} but expected {repr(expected_ans)}'\n\n # run callback function, if there is one\n if self.callback:\n if self.verbose:\n print('Running callback...')\n print('call back is:', self.callback)\n\n # once done, put the final report on the queue\n self.queue.put((self.student_username, self.name, f'{self.correct}/{self.total}', final_report))","def test_2():","def asserts():\n args = parser()\n tests = read_testfile(args.testfile)\n provider = get_provider_class(args)\n provider.set_tests(tests)\n provider.action()","def test_quickstart(self, fake_home_dir):\n\n run_nbgrader([\"quickstart\", \"example\"])\n\n # it should fail if it already exists\n run_nbgrader([\"quickstart\", \"example\"], retcode=1)\n\n # it should succeed if --force is given\n os.remove(os.path.join(\"example\", \"nbgrader_config.py\"))\n run_nbgrader([\"quickstart\", \"example\", \"--force\"])\n assert os.path.exists(os.path.join(\"example\", \"nbgrader_config.py\"))\n\n # nbgrader validate should work\n os.chdir(\"example\")\n for nb in os.listdir(os.path.join(\"source\", \"ps1\")):\n if not nb.endswith(\".ipynb\"):\n continue\n output = run_nbgrader([\"validate\", os.path.join(\"source\", \"ps1\", nb)], stdout=True)\n assert output.strip() == \"Success! Your notebook passes all the tests.\"\n\n # nbgrader generate_assignment should work\n run_nbgrader([\"generate_assignment\", \"ps1\"])\n\n # there should be no autotests in any notebook in ps1\n for nb in os.listdir(os.path.join(\"source\", \"ps1\")):\n if not nb.endswith(\".ipynb\"):\n continue\n with open(os.path.join(\"source\", \"ps1\", nb), 'r') as f:\n assert \"AUTOTEST\" not in f.read()"],"string":"[\n \"def mark_students(submitdir):\\n all_students = os.listdir(submitdir)\\n all_students.remove(\\\"copyToMarking\\\")\\n for student in all_students:\\n \\n # construct the path to the individual student's submission\\n studentdir = submitdir + os.sep + student + os.sep + \\\"marking\\\" + os.sep\\n\\n # extract the results\\n extract_marks(studentdir)\",\n \"def commit_test(self, test_case, file_name):\\n self.logger.info('found fuzzing target')\\n\\n case_folder = os.path.join(self.crashes, file_name)\\n\\n if os.path.exists(case_folder):\\n self.logger.error('duplicate case folder')\\n sys.exit(1)\\n\\n os.mkdir(case_folder)\\n\\n dest = os.path.join(case_folder, 'input')\\n with open(dest, 'w+') as f:\\n f.write(test_case)\",\n \"def test_single_file(self, db, course_dir):\\n run_nbgrader([\\\"db\\\", \\\"assignment\\\", \\\"add\\\", \\\"ps1\\\", \\\"--db\\\", db])\\n run_nbgrader([\\\"db\\\", \\\"student\\\", \\\"add\\\", \\\"foo\\\", \\\"--db\\\", db])\\n\\n self._copy_file(join(\\\"files\\\", \\\"submitted-unchanged.ipynb\\\"), join(course_dir, \\\"source\\\", \\\"ps1\\\", \\\"p1.ipynb\\\"))\\n run_nbgrader([\\\"assign\\\", \\\"ps1\\\", \\\"--db\\\", db])\\n\\n self._copy_file(join(\\\"files\\\", \\\"submitted-unchanged.ipynb\\\"), join(course_dir, \\\"submitted\\\", \\\"foo\\\", \\\"ps1\\\", \\\"p1.ipynb\\\"))\\n run_nbgrader([\\\"autograde\\\", \\\"ps1\\\", \\\"--db\\\", db])\\n run_nbgrader([\\\"generate_feedback\\\", \\\"ps1\\\", \\\"--db\\\", db])\\n\\n assert exists(join(course_dir, \\\"feedback\\\", \\\"foo\\\", \\\"ps1\\\", \\\"p1.html\\\"))\",\n \"def test_main():\\n # Setup\\n # Exercise\\n # Verify\",\n \"def run_tests():\\n source1 = TextModel(\\\"Barack Obama\\\")\\n source1.add_file('project/source_texts/barackobama_source_text.txt')\\n\\n source2 = TextModel('Donald Trump')\\n source2.add_file('project/source_texts/donaldtrump_source_text.txt')\\n\\n new1 = TextModel('More Obama')\\n new1.add_file('project/source_texts/moreobama_source_text.txt')\\n new1.classify(source1, source2)\\n\\n new2 = TextModel('More Trump')\\n new2.add_file('project/source_texts/moretrump_source_text.txt')\\n new2.classify(source1, source2)\\n\\n new1 = TextModel('Gucci Gang by Lil Pump')\\n new1.add_file('project/source_texts/guccigang_source_text.txt')\\n new1.classify(source1, source2)\\n\\n new1 = TextModel(\\\"Spongebob Transcripts\\\")\\n new1.add_file('project/source_texts/spongebobeps_source_text.txt')\\n new1.classify(source1, source2)\",\n \"def write_tests(project_name, root_dir):\\r\\n test_path = get_file_path(root_dir, \\\"tests\\\", \\\"%s_tests.py\\\" % project_name) #Get the path for setup.py\\r\\n test_content = get_test_text(project_name)\\r\\n \\r\\n test_file = open(test_path, 'w')\\r\\n test_file.write(test_content)\\r\\n test_file.close()\\r\\n print_file(test_path)\",\n \"def test_autotests(self, course_dir):\\n run_nbgrader([\\\"db\\\", \\\"assignment\\\", \\\"add\\\", \\\"ps1\\\"])\\n run_nbgrader([\\\"db\\\", \\\"student\\\", \\\"add\\\", \\\"foo\\\"])\\n\\n self._copy_file(join(\\\"files\\\", \\\"autotest-simple.ipynb\\\"), join(course_dir, \\\"source\\\", \\\"ps1\\\", \\\"p1.ipynb\\\"))\\n self._copy_file(join(\\\"files\\\", \\\"autotest-simple.ipynb\\\"), join(course_dir, \\\"source\\\", \\\"ps1\\\", \\\"p2.ipynb\\\"))\\n self._copy_file(join(\\\"files\\\", \\\"autotests.yml\\\"), join(course_dir, \\\"autotests.yml\\\"))\\n run_nbgrader([\\\"generate_assignment\\\", \\\"ps1\\\"])\\n\\n self._copy_file(join(\\\"files\\\", \\\"autotest-simple.ipynb\\\"), join(course_dir, \\\"submitted\\\", \\\"foo\\\", \\\"ps1\\\", \\\"p1.ipynb\\\"))\\n self._copy_file(join(\\\"files\\\", \\\"autotest-simple.ipynb\\\"), join(course_dir, \\\"submitted\\\", \\\"foo\\\", \\\"ps1\\\", \\\"p2.ipynb\\\"))\\n self._make_file(join(course_dir, \\\"submitted\\\", \\\"foo\\\", \\\"ps1\\\", \\\"timestamp.txt\\\"), \\\"2015-02-02 15:58:23.948203 America/Los_Angeles\\\")\\n run_nbgrader([\\\"autograde\\\", \\\"ps1\\\"])\\n run_nbgrader([\\\"generate_feedback\\\", \\\"ps1\\\"])\\n\\n assert exists(join(course_dir, \\\"feedback\\\", \\\"foo\\\", \\\"ps1\\\", \\\"p1.html\\\"))\\n assert exists(join(course_dir, \\\"feedback\\\", \\\"foo\\\", \\\"ps1\\\", \\\"p2.html\\\"))\\n assert isfile(join(course_dir, \\\"feedback\\\", \\\"foo\\\", \\\"ps1\\\", \\\"timestamp.txt\\\"))\\n assert self._file_contents(join(course_dir, \\\"feedback\\\", \\\"foo\\\", \\\"ps1\\\", \\\"timestamp.txt\\\")) == \\\"2015-02-02 15:58:23.948203 America/Los_Angeles\\\"\\n p1 = self._file_contents(join(course_dir, \\\"feedback\\\", \\\"foo\\\", \\\"ps1\\\", \\\"p1.html\\\"))\\n p2 = self._file_contents(join(course_dir, \\\"feedback\\\", \\\"foo\\\", \\\"ps1\\\", \\\"p2.html\\\"))\\n\\n self._empty_notebook(join(course_dir, \\\"autograded\\\", \\\"foo\\\", \\\"ps1\\\", \\\"p1.ipynb\\\"))\\n self._empty_notebook(join(course_dir, \\\"autograded\\\", \\\"foo\\\", \\\"ps1\\\", \\\"p2.ipynb\\\"))\\n self._make_file(join(course_dir, \\\"autograded\\\", \\\"foo\\\", \\\"ps1\\\", \\\"timestamp.txt\\\"), \\\"2015-02-02 16:58:23.948203 America/Los_Angeles\\\")\\n run_nbgrader([\\\"generate_feedback\\\", \\\"ps1\\\", \\\"--notebook\\\", \\\"p1\\\"])\\n\\n assert exists(join(course_dir, \\\"feedback\\\", \\\"foo\\\", \\\"ps1\\\", \\\"p1.html\\\"))\\n assert exists(join(course_dir, \\\"feedback\\\", \\\"foo\\\", \\\"ps1\\\", \\\"p2.html\\\"))\\n assert isfile(join(course_dir, \\\"feedback\\\", \\\"foo\\\", \\\"ps1\\\", \\\"timestamp.txt\\\"))\\n assert self._file_contents(join(course_dir, \\\"feedback\\\", \\\"foo\\\", \\\"ps1\\\", \\\"timestamp.txt\\\")) == \\\"2015-02-02 16:58:23.948203 America/Los_Angeles\\\"\\n assert p1 != self._file_contents(join(course_dir, \\\"feedback\\\", \\\"foo\\\", \\\"ps1\\\", \\\"p1.html\\\"))\\n assert p2 == self._file_contents(join(course_dir, \\\"feedback\\\", \\\"foo\\\", \\\"ps1\\\", \\\"p2.html\\\"))\",\n \"def tests():\",\n \"def run_tests():\\n source1 = TextModel('hilary_speaches')\\n source1.add_file('hilary_source_text.txt')\\n\\n source2 = TextModel('bernie_speaches')\\n source2.add_file('bernie_source_text.txt')\\n\\n new1 = TextModel('trump_speach')\\n new1.add_file('trump_text.txt')\\n new1.classify(source1, source2)\\n\\n new2 = TextModel('hilary_test')\\n new2.add_file('hilary_test.txt')\\n new2.classify(source1, source2)\\n\\n new3 = TextModel('bernie_test')\\n new3.add_file('bernie_test.txt')\\n new3.classify(source1, source2)\\n\\n new4 = TextModel('bill_clinton_test')\\n new4.add_file('bill_clinton_source.txt')\\n new4.classify(source1, source2)\",\n \"def run_tests():\\n source1 = TextModel('CS111 Syllabus')\\n source1.add_file('CS111_Syllabus.txt')\\n\\n source2 = TextModel('AR Syllabus')\\n source2.add_file('AR_Syllabus.txt')\\n\\n new1 = TextModel('WR120 Syllabus')\\n new1.add_file('WR120_Syllabus.txt')\\n new1.classify(source1, source2)\\n \\n new2 = TextModel('CS131 Syllabus')\\n new2.add_file('CS131_Syllabus.txt')\\n new2.classify(source1, source2)\\n \\n new3 = TextModel('My Paper 2 for WR120')\\n new3.add_file('WR_Paper_2.txt')\\n new3.classify(source1, source2)\\n \\n new4 = TextModel('CS111 PS9PR0')\\n new4.add_file('ps9pr0.txt')\\n new4.classify(source1, source2)\",\n \"def runtest(self):\",\n \"def __make(tests_path: Text) -> NoReturn:\\n logger.info(f\\\"make path: {tests_path}\\\")\\n test_files = []\\n if os.path.isdir(tests_path):\\n files_list = load_folder_files(tests_path)\\n test_files.extend(files_list)\\n elif os.path.isfile(tests_path):\\n test_files.append(tests_path)\\n else:\\n raise exceptions.TestcaseNotFound(f\\\"Invalid tests path: {tests_path}\\\")\\n\\n for test_file in test_files:\\n if test_file.lower().endswith(\\\"_test.py\\\"):\\n pytest_files_run_set.add(test_file)\\n continue\\n\\n try:\\n test_content = load_test_file(test_file)\\n except (exceptions.FileNotFound, exceptions.FileFormatError) as ex:\\n logger.warning(f\\\"Invalid test file: {test_file}\\\\n{type(ex).__name__}: {ex}\\\")\\n continue\\n\\n if not isinstance(test_content, Dict):\\n logger.warning(\\n f\\\"Invalid test file: {test_file}\\\\n\\\"\\n f\\\"reason: test content not in dict format.\\\"\\n )\\n continue\\n\\n # api in v2 format, convert to v3 testcase\\n if \\\"request\\\" in test_content and \\\"name\\\" in test_content:\\n test_content = ensure_testcase_v3_api(test_content)\\n\\n if \\\"config\\\" not in test_content:\\n logger.warning(\\n f\\\"Invalid testcase/testsuite file: {test_file}\\\\n\\\"\\n f\\\"reason: missing config part.\\\"\\n )\\n continue\\n elif not isinstance(test_content[\\\"config\\\"], Dict):\\n logger.warning(\\n f\\\"Invalid testcase/testsuite file: {test_file}\\\\n\\\"\\n f\\\"reason: config should be dict type, got {test_content['config']}\\\"\\n )\\n continue\\n\\n # ensure path absolute\\n test_content.setdefault(\\\"config\\\", {})[\\\"path\\\"] = test_file\\n\\n # testcase\\n if \\\"teststeps\\\" in test_content:\\n try:\\n testcase_pytest_path = make_testcase(test_content)\\n pytest_files_run_set.add(testcase_pytest_path)\\n except exceptions.TestCaseFormatError as ex:\\n logger.warning(\\n f\\\"Invalid testcase file: {test_file}\\\\n{type(ex).__name__}: {ex}\\\"\\n )\\n continue\\n\\n # testsuite\\n elif \\\"testcases\\\" in test_content:\\n try:\\n make_testsuite(test_content)\\n except exceptions.TestSuiteFormatError as ex:\\n logger.warning(\\n f\\\"Invalid testsuite file: {test_file}\\\\n{type(ex).__name__}: {ex}\\\"\\n )\\n continue\\n\\n # invalid format\\n else:\\n logger.warning(\\n f\\\"Invalid test file: {test_file}\\\\n\\\"\\n f\\\"reason: file content is neither testcase nor testsuite\\\"\\n )\",\n \"def setUp(self):\\n self.filename = 'text_analysis_test_file.txt'\\n \\n \\\"\\\"\\\"write out the test file\\\"\\\"\\\"\\n with open(self.filename, 'w') as f:\\n f.write('now we are \\\\ntesting \\\\nor any \\\\ncan lon')\",\n \"def runTests(self):\\n \\n pass\",\n \"def newcode(path):\\n global testers\\n import json, testmaker\\n print('newcode', (path,))\\n\\n subdir, pyfile, dst, afb, lfb, slug = ppath(path)\\n \\n if not pyfile or not subdir or not os.path.exists(subdir):\\n print('no submission found in', subdir)\\n os.unlink(path) # remove queue for absent file\\n return\\n\\n if not slug in testers:\\n print('no testers found for', subdir)\\n with open(afb, 'w') as f:\\n print('automated feedback not enabled for this assignment', file=f)\\n # ¿use os.utimes to bypass feedback delay?\\n\\n # do not use os.unlink(path) because testers may be added later\\n return\\n \\n # pypractice used create-in-tmp move-to-dest model to trigger vibe's\\n # DirectoryWatcher's moved_to listneger because it had no close_write\\n # listener. This is not needed in the current system because PHP can't\\n # listen-and-push at all.\\n \\n result = testers[slug].report(pyfile)\\n try:\\n with open(afb, 'w') as f: json.dump({'stdout':result['feedback']}, f, default=lambda x:str(type(x)))\\n except:\\n with open(afb, 'w') as f: json.dump({'stdout':\\\"internal error generating automated feedback\\\"}, f)\\n\\n try:\\n with open(lfb, 'w') as f:\\n m = result['missed']\\n if len(m) > 0:\\n json.dump({'stdout':'Failed test cases:\\\\n-------------------------\\\\n' + '\\\\n-------------------------\\\\n'.join(m)}, f)\\n else:\\n json.dump({'stdout':'Passed all tests'},f)\\n except:\\n with open(afb, 'w') as f: json.dump({'stdout':\\\"internal error testing your code\\\"}, f)\\n \\n try:\\n with open(dst, 'w') as f: json.dump(result, f, indent=2, default=lambda x:str(type(x)))\\n except BaseException as ex:\\n with open(dst, 'w') as f: json.dump({'correct':0,'error':testmaker.ex_msg(ex)}, f, indent=2)\\n \\n dst2 = os.path.join(os.path.dirname(os.path.dirname(dst)), os.path.basename(dst))\\n if os.path.exists(dst) and not os.path.exists(dst2):\\n os.link(dst, dst2)\\n \\n if os.path.exists(path): os.unlink(path) # remove queue now that grade finished\\n return\",\n \"def run_tests():\\n source1 = TextModel('prep')\\n source1.add_file('source_model_1.txt')\\n \\n source2 = TextModel('athletes')\\n source2.add_file('source_model_2.txt')\\n\\n new1 = TextModel('my_writing')\\n new1.add_file('my_writing.txt')\\n new1.classify(source1, source2)\\n\\n # Add code for three other new models below.\",\n \"def create_test(self, test_case, file_name):\\n with open(os.path.join(self.tests, file_name), 'w+') as f:\\n f.write(test_case)\",\n \"def take_test(exam, student):\\n\\n student.score = exam.administer()\",\n \"def run_tests():\\r\\n source1 = TextModel('50 Shades of Gray')\\r\\n source1.add_file('50.txt')\\r\\n \\r\\n print()\\r\\n \\r\\n source2 = TextModel('King James Version of the Bible')\\r\\n source2.add_file('kjv.txt')\\r\\n\\r\\n print()\\r\\n\\r\\n new1 = TextModel('Shakespeare')\\r\\n new1.add_file('shake.txt')\\r\\n new1.classify(source1, source2)\\r\\n \\r\\n print()\\r\\n \\r\\n new2 = TextModel('JK Rowling')\\r\\n new2.add_file('hp.txt')\\r\\n new2.classify(source1, source2)\\r\\n \\r\\n print()\\r\\n \\r\\n new3 = TextModel('Breitbart News Network')\\r\\n new3.add_file('bnn.txt')\\r\\n new3.classify(source1, source2)\\r\\n \\r\\n print()\\r\\n \\r\\n new4 = TextModel('Chaucer')\\r\\n new4.add_file('tct.txt')\\r\\n new4.classify(source1, source2)\",\n \"def main():\\n argument_parser = argparse.ArgumentParser(add_help=True)\\n argument_parser.add_argument(\\\"directory\\\", type=str,\\n help=\\\"Directory to detect test smells.\\\")\\n args = argument_parser.parse_args()\\n \\n if len(sys.argv) < 1:\\n \\n argument_parser.print_help()\\n \\n else:\\n \\n if os.path.exists(args.directory) or os.path.isdir(args.directory):\\n\\n #Stage 1: project level rule checking\\n files = python_parser.get_python_files(os.path.abspath(args.directory))\\n results_list = project_rule_runner(files)\\n \\n #Stage 2: test case level rule checking\\n #test_case_pairs_list is a list of test cases paired with their file of origin\\n filtered_files = python_parser.filter_python_files(files)\\n test_case_pairs_list = python_parser.get_test_case_asts(filtered_files)\\n \\n for test_case_pair in test_case_pairs_list:\\n results_list = results_list + test_case_rule_runner(test_case_pair)\\n \\n #Stage 3: test method level rule checking\\n test_method_list = list()\\n \\n for test_case_pair in test_case_pairs_list:\\n test_method_list = test_method_list + python_parser.get_test_asts(test_case_pair)\\n \\n for test_method in test_method_list: \\n results_list = results_list + test_method_rule_runner(test_method)\\n \\n #Output formatting\\n format_output(results_list)\\n \\n else:\\n print(\\\"Invalid path given.\\\")\",\n \"def test_single_test_case():\\n pass\",\n \"def test_sample():\\n print(os.getcwd())\\n run_validator(SAMPLE_FILE_PATH)\",\n \"def run_test(test_name):\\n\\n print 'Running %s_test...' % test_name\\n os.system('./test_%s.py' % test_name)\\n print\",\n \"def test_create_files(self):\\n\\n testdir = \\\"test_output\\\"\\n test_submission = Submission()\\n self.addCleanup(os.remove, \\\"submission.tar.gz\\\")\\n self.addCleanup(shutil.rmtree, testdir)\\n\\n test_submission.create_files(testdir)\\n\\n self.doCleanups()\",\n \"def test_start(self):\\n self.fail(\\\"write a test\\\")\",\n \"def test_run(self):\\n sut = ExperimentEmail()\\n train = os.path.join(os.path.dirname(__file__), \\\"data\\\", \\\"sample.csv\\\")\\n val = os.path.join(os.path.dirname(__file__), \\\"data\\\", \\\"sample.csv\\\")\\n outdir = tempfile.mkdtemp()\\n\\n # Act\\n sut.run(train, val, outdir, batch_size=32, epochs=2)\",\n \"def test_test_case_name_step(self, pytester: pytest.Pytester, adaptavist_mock: AdaptavistMock):\\n pytester.makepyfile(\\n \\\"\\\"\\\"\\n import pytest\\n\\n def test_TEST_T123_1():\\n assert True\\n \\\"\\\"\\\"\\n )\\n _, _, etss = adaptavist_mock\\n pytester.runpytest(\\\"--adaptavist\\\")\\n etss.assert_called_once_with(\\n test_run_key=\\\"TEST-C1\\\",\\n test_case_key=\\\"TEST-T123\\\",\\n step=1,\\n status=\\\"Pass\\\",\\n comment=\\\"\\\",\\n environment=None,\\n executor=getpass.getuser().lower(),\\n assignee=getpass.getuser().lower(),\\n )\",\n \"def run_test(self, testcase, name, options):\\n name = options.suite+'_'+name\\n cmd = options.solver+' '\\n if not options.cat_options is None:\\n cmd += options.cat_options+' '\\n cmd += options.file\\n print( \\\"Running test suite '%s' test '%s' command '%s'\\\" % \\\\\\n (options.suite, name, cmd))\\n pyutilib.subprocess.run(cmd, outfile=options.currdir+'test_'+name+\\\".out\\\")\\n testcase.failUnlessFileEqualsBaseline(\\n options.currdir+'test_'+name+\\\".out\\\",\\n options.currdir+'test_'+name+\\\".txt\\\")\",\n \"def run_test(self):\\n\\n # populate *_ps sets\\n self.enter_project_file()\\n\\n # populate *_dir sets\\n self.enter_directories()\\n\\n # The files in the directories makes up the largest possible set of files\\n self.result_files = self.result_files_dir\\n self.design_files = self.design_files_dir\\n self.design_space_files = self.design_space_files_dir\\n self.test_bench_files = self.test_bench_files_dir\\n\\n # populate *_ms sets\\n self.enter_meta_results_file()\\n\\n # populate *_OK sets\\n self.check_analysis_status()\\n\\n df = {'design_files_dir' : list(self.design_files_dir),'design_files_pr' : list(self.design_files_pr),\\n 'design_files_ms' : list(self.design_files_ms), 'design_files_OK' : list(self.design_files_OK)}\\n\\n ds = {'design_space_files_dir' : list(self.design_space_files_dir),\\n 'design_space_files_pr' : list(self.design_space_files_pr)}\\n\\n rs = {'result_files_dir' : list(self.result_files_dir), 'result_files_ms' : list(self.result_files_ms),\\n 'result_files_OK' : list(self.result_files_OK)}\\n\\n tb = {'test_bench_files_dir' : list(self.test_bench_files_dir),\\n 'test_bench_files_ms' : list(self.test_bench_files_ms)}\\n\\n srl = SummaryReportsLinks(self.result_files_dir)\\n\\n lf = {'files_linked_from_sum_reps' : srl.get_files(),\\n 'folders_linked_from_sum_reps' : srl.get_folders()}\\n\\n # 'test_bench_files_pr' : list(self.test_bench_files_pr),\\n \\n json_test = {'design_files' : df, 'design_space_files' : ds, 'result_files' : rs,\\n 'test_bench_files' : tb, 'stat_files' : self.stat_files,\\n 'files_linked_from_sum_reps' : lf}\\n\\n with open('test_run.json','wb') as f_out:\\n json.dump(json_test, f_out, indent=4)\",\n \"def test_generate_all_testing(self):\\n pass\",\n \"def test_1():\",\n \"def readme_tests(readme=None):\\n if readme is None:\\n readme = Path('..', 'readme.md')\\n with open(readme) as target:\\n for line in target:\\n if line.startswith(' ') and 'test_utils' not in line:\\n print()\\n print(line)\\n input('Press Enter to execute')\\n sb.run(line, shell=True, check=True)\",\n \"def __main() :\\n launchTests()\",\n \"def test_tests():\\n submission = SubmissionBuilder(\\\"t\\\", \\\"b\\\", [\\\"anything\\\"]).build()\\n assert submission.get(\\\"results\\\") == [\\\"anything\\\"], submission\",\n \"def test_script(self) -> None:\\n main()\",\n \"def test(conanfile):\\n with conanfile_exception_formatter(conanfile, \\\"test\\\"):\\n with chdir(conanfile.build_folder):\\n conanfile.test()\",\n \"def test_force(self, db, course_dir):\\n run_nbgrader([\\\"db\\\", \\\"assignment\\\", \\\"add\\\", \\\"ps1\\\", \\\"--db\\\", db])\\n run_nbgrader([\\\"db\\\", \\\"student\\\", \\\"add\\\", \\\"foo\\\", \\\"--db\\\", db])\\n\\n self._copy_file(join(\\\"files\\\", \\\"submitted-unchanged.ipynb\\\"), join(course_dir, \\\"source\\\", \\\"ps1\\\", \\\"p1.ipynb\\\"))\\n self._make_file(join(course_dir, \\\"source\\\", \\\"ps1\\\", \\\"foo.txt\\\"), \\\"foo\\\")\\n self._make_file(join(course_dir, \\\"source\\\", \\\"ps1\\\", \\\"data\\\", \\\"bar.txt\\\"), \\\"bar\\\")\\n run_nbgrader([\\\"generate_assignment\\\", \\\"ps1\\\", \\\"--db\\\", db])\\n\\n self._copy_file(join(\\\"files\\\", \\\"submitted-unchanged.ipynb\\\"), join(course_dir, \\\"submitted\\\", \\\"foo\\\", \\\"ps1\\\", \\\"p1.ipynb\\\"))\\n self._make_file(join(course_dir, \\\"submitted\\\", \\\"foo\\\", \\\"ps1\\\", \\\"foo.txt\\\"), \\\"foo\\\")\\n self._make_file(join(course_dir, \\\"submitted\\\", \\\"foo\\\", \\\"ps1\\\", \\\"data\\\", \\\"bar.txt\\\"), \\\"bar\\\")\\n run_nbgrader([\\\"autograde\\\", \\\"ps1\\\", \\\"--db\\\", db])\\n\\n self._make_file(join(course_dir, \\\"autograded\\\", \\\"foo\\\", \\\"ps1\\\", \\\"blah.pyc\\\"), \\\"asdf\\\")\\n run_nbgrader([\\\"generate_feedback\\\", \\\"ps1\\\", \\\"--db\\\", db])\\n\\n assert isfile(join(course_dir, \\\"feedback\\\", \\\"foo\\\", \\\"ps1\\\", \\\"p1.html\\\"))\\n assert isfile(join(course_dir, \\\"feedback\\\", \\\"foo\\\", \\\"ps1\\\", \\\"foo.txt\\\"))\\n assert isfile(join(course_dir, \\\"feedback\\\", \\\"foo\\\", \\\"ps1\\\", \\\"data\\\", \\\"bar.txt\\\"))\\n assert not isfile(join(course_dir, \\\"feedback\\\", \\\"foo\\\", \\\"ps1\\\", \\\"blah.pyc\\\"))\\n\\n # check that it skips the existing directory\\n remove(join(course_dir, \\\"feedback\\\", \\\"foo\\\", \\\"ps1\\\", \\\"foo.txt\\\"))\\n run_nbgrader([\\\"generate_feedback\\\", \\\"ps1\\\", \\\"--db\\\", db])\\n assert not isfile(join(course_dir, \\\"feedback\\\", \\\"foo\\\", \\\"ps1\\\", \\\"foo.txt\\\"))\\n\\n # force overwrite the supplemental files\\n run_nbgrader([\\\"generate_feedback\\\", \\\"ps1\\\", \\\"--db\\\", db, \\\"--force\\\"])\\n assert isfile(join(course_dir, \\\"feedback\\\", \\\"foo\\\", \\\"ps1\\\", \\\"foo.txt\\\"))\\n\\n # force overwrite\\n remove(join(course_dir, \\\"autograded\\\", \\\"foo\\\", \\\"ps1\\\", \\\"foo.txt\\\"))\\n run_nbgrader([\\\"generate_feedback\\\", \\\"ps1\\\", \\\"--db\\\", db, \\\"--force\\\"])\\n assert isfile(join(course_dir, \\\"feedback\\\", \\\"foo\\\", \\\"ps1\\\", \\\"p1.html\\\"))\\n assert not isfile(join(course_dir, \\\"feedback\\\", \\\"foo\\\", \\\"ps1\\\", \\\"foo.txt\\\"))\\n assert isfile(join(course_dir, \\\"feedback\\\", \\\"foo\\\", \\\"ps1\\\", \\\"data\\\", \\\"bar.txt\\\"))\\n assert not isfile(join(course_dir, \\\"feedback\\\", \\\"foo\\\", \\\"ps1\\\", \\\"blah.pyc\\\"))\",\n \"def test_5():\",\n \"def test_force_f(self, db, course_dir):\\n run_nbgrader([\\\"db\\\", \\\"assignment\\\", \\\"add\\\", \\\"ps1\\\", \\\"--db\\\", db])\\n run_nbgrader([\\\"db\\\", \\\"student\\\", \\\"add\\\", \\\"foo\\\", \\\"--db\\\", db])\\n\\n self._copy_file(join(\\\"files\\\", \\\"submitted-unchanged.ipynb\\\"), join(course_dir, \\\"source\\\", \\\"ps1\\\", \\\"p1.ipynb\\\"))\\n self._make_file(join(course_dir, \\\"source\\\", \\\"ps1\\\", \\\"foo.txt\\\"), \\\"foo\\\")\\n self._make_file(join(course_dir, \\\"source\\\", \\\"ps1\\\", \\\"data\\\", \\\"bar.txt\\\"), \\\"bar\\\")\\n run_nbgrader([\\\"generate_assignment\\\", \\\"ps1\\\", \\\"--db\\\", db])\\n\\n self._copy_file(join(\\\"files\\\", \\\"submitted-unchanged.ipynb\\\"), join(course_dir, \\\"submitted\\\", \\\"foo\\\", \\\"ps1\\\", \\\"p1.ipynb\\\"))\\n self._make_file(join(course_dir, \\\"submitted\\\", \\\"foo\\\", \\\"ps1\\\", \\\"foo.txt\\\"), \\\"foo\\\")\\n self._make_file(join(course_dir, \\\"submitted\\\", \\\"foo\\\", \\\"ps1\\\", \\\"data\\\", \\\"bar.txt\\\"), \\\"bar\\\")\\n run_nbgrader([\\\"autograde\\\", \\\"ps1\\\", \\\"--db\\\", db])\\n\\n self._make_file(join(course_dir, \\\"autograded\\\", \\\"foo\\\", \\\"ps1\\\", \\\"blah.pyc\\\"), \\\"asdf\\\")\\n run_nbgrader([\\\"generate_feedback\\\", \\\"ps1\\\", \\\"--db\\\", db])\\n\\n assert isfile(join(course_dir, \\\"feedback\\\", \\\"foo\\\", \\\"ps1\\\", \\\"p1.html\\\"))\\n assert isfile(join(course_dir, \\\"feedback\\\", \\\"foo\\\", \\\"ps1\\\", \\\"foo.txt\\\"))\\n assert isfile(join(course_dir, \\\"feedback\\\", \\\"foo\\\", \\\"ps1\\\", \\\"data\\\", \\\"bar.txt\\\"))\\n assert not isfile(join(course_dir, \\\"feedback\\\", \\\"foo\\\", \\\"ps1\\\", \\\"blah.pyc\\\"))\\n\\n # check that it skips the existing directory\\n remove(join(course_dir, \\\"feedback\\\", \\\"foo\\\", \\\"ps1\\\", \\\"foo.txt\\\"))\\n run_nbgrader([\\\"generate_feedback\\\", \\\"ps1\\\", \\\"--db\\\", db])\\n assert not isfile(join(course_dir, \\\"feedback\\\", \\\"foo\\\", \\\"ps1\\\", \\\"foo.txt\\\"))\\n\\n # force overwrite the supplemental files\\n run_nbgrader([\\\"generate_feedback\\\", \\\"ps1\\\", \\\"--db\\\", db, \\\"-f\\\"])\\n assert isfile(join(course_dir, \\\"feedback\\\", \\\"foo\\\", \\\"ps1\\\", \\\"foo.txt\\\"))\\n\\n # force overwrite\\n remove(join(course_dir, \\\"autograded\\\", \\\"foo\\\", \\\"ps1\\\", \\\"foo.txt\\\"))\\n run_nbgrader([\\\"generate_feedback\\\", \\\"ps1\\\", \\\"--db\\\", db, \\\"--force\\\"])\\n assert isfile(join(course_dir, \\\"feedback\\\", \\\"foo\\\", \\\"ps1\\\", \\\"p1.html\\\"))\\n assert not isfile(join(course_dir, \\\"feedback\\\", \\\"foo\\\", \\\"ps1\\\", \\\"foo.txt\\\"))\\n assert isfile(join(course_dir, \\\"feedback\\\", \\\"foo\\\", \\\"ps1\\\", \\\"data\\\", \\\"bar.txt\\\"))\\n assert not isfile(join(course_dir, \\\"feedback\\\", \\\"foo\\\", \\\"ps1\\\", \\\"blah.pyc\\\"))\",\n \"def main():\\n for filename in sys.argv[1:]:\\n test(filename)\",\n \"def test_step(self):\\n # allow to escape testing by setting runtest to False\\n if not self.cfg['runtest'] and not isinstance(self.cfg['runtest'], bool):\\n\\n # make very sure OMP_NUM_THREADS is set to 1, to avoid hanging GROMACS regression test\\n env.setvar('OMP_NUM_THREADS', '1')\\n\\n self.cfg['runtest'] = 'check'\\n if self.cfg['parallel']:\\n # run 'make check' in parallel since it involves more compilation\\n self.cfg.update('runtest', \\\"-j %s\\\" % self.cfg['parallel'])\\n super(EB_GROMACS, self).test_step()\",\n \"def setUp(self):\\n\\t\\tself.filename = 'text_analysis_test_file.txt'\\n\\t\\twith open(self.filename, 'wt') as f:\\n\\t\\t\\tf.write(\\\"Now we are engaged in a great civil war.\\\\n\\\"\\n\\t\\t\\t\\t\\t\\\"testing whether that nation, \\\\n\\\"\\n\\t\\t\\t\\t\\t\\\"or other nation so conceived and so dedicated,\\\\n\\\"\\n\\t\\t\\t\\t\\t\\\"can long endure\\\")\",\n \"def test(build, cleanup, filename, service_name, verbose):\\n set_verbosity(verbose)\\n hokusai.test(build, cleanup, filename, service_name)\",\n \"def task_test():\\n return {\\n 'actions': ['py.test tests/'],\\n }\",\n \"def spec_tests():\\n pass\",\n \"def test(cline):\\n print(\\\"Running unit tests.\\\")\\n cline.run(\\\"TF_CPP_MIN_LOG_LEVEL=3 python3 -m unittest\\\")\",\n \"def run_tests():\\n test_command = \\\"pytest -s \\\" + os.path.join(root_path, \\\"cases\\\", \\\"test_cases.py::TestCases::test_cases\\\") + \\\" --html=\\\" + os.path.join(root_path, \\\"reports\\\", \\\"qa_testing_report.html\\\")\\n\\n subprocess.run(test_command, shell=True)\",\n \"def _main():\\r\\n @enum.unique\\r\\n class Verbosity(enum.IntEnum):\\r\\n NOTHING = 0\\r\\n SIMPLE = 1\\r\\n DETAIL = 2\\r\\n\\r\\n CURRENT_PATH = Path('./file/report.txt')\\r\\n EXEC_DATETIME = datetime.today()\\r\\n FILE_MOD_DATETIME = datetime.fromtimestamp(CURRENT_PATH.stat().st_mtime)\\r\\n LOG_PATH = CURRENT_PATH.with_name(\\r\\n CURRENT_PATH.stem + f'_{EXEC_DATETIME.date()}.log')\\r\\n \\r\\n with open(CURRENT_PATH, mode='w') as fw:\\r\\n fw.write(\\r\\n f'[Date of script modification] {str(FILE_MOD_DATETIME)}\\\\n'\\r\\n f'[Date of this test execution] {str(EXEC_DATETIME)}\\\\n'\\r\\n '\\\\n')\\r\\n\\r\\n unittest.main(\\r\\n module=\\\"tests.test_login\\\", \\r\\n testRunner=unittest.TextTestRunner(\\r\\n stream=fw,\\r\\n descriptions=False,\\r\\n verbosity=Verbosity.DETAIL))\",\n \"def test_documentation_popxl_mnist_rts_train_test(self):\\n filename = \\\"mnist_rts.py --replication-factor 2 --rts --test\\\"\\n self.run_python(filename, file_dir=working_dir, working_dir=working_dir)\",\n \"def test_passed():\\n pass\",\n \"def main():\\n run_test_all()\",\n \"def target_test_file_name():\\n return 'test'\",\n \"def runTest(self):\\n # TODO: this should be split into multiple tests\\n pagename = self._tester.create_wiki_page()\\n self._tester.attach_file_to_wiki(pagename)\",\n \"def main():\\n\\n parser = argparse.ArgumentParser(description=\\\"generateTestStubs\\\")\\n\\n parser.add_argument(\\\"taskFile\\\",\\n help=\\\"Path for assignment file.\\\")\\n\\n args = parser.parse_args()\\n\\n if not os.path.exists(args.taskFile):\\n print(\\\"Task file does not exist.\\\")\\n sys.exit(1)\\n\\n taskMgr = EEWebLPProject()\\n taskMgr.initLP()\\n\\n #taskMgr.listProjects()\\n #taskMgr.loadTree([\\\"project_id=8008922\\\"])\\n tasks = taskMgr.getTasks([\\\"project_id=6890048\\\"],parent_id=8008922)\\n\\n fileByAssignee = taskMgr.getTaskOwners(args.taskFile)\\n taskMgr.updateTaskOwners(fileByAssignee,tasks)\",\n \"def test_4():\",\n \"def test(self, cmdline):\\n\\n if tm.UPDATE_BEFORE_TEST:\\n print \\\"Updating directory of source ...\\\"\\n mu.update_dir(tm.SOURCE_DIR)\\n\\n args = mu.get_second_arg(cmdline).strip().split()\\n if len(args) == 0:\\n print \\\"Invalid command, test [sourcename] ([maxThread] ([pageLimit]))\\\"\\n return\\n elif len(args) == 1:\\n self.sourcename, = args\\n self.max_thread = '5'\\n self.page_limit = '2'\\n elif len(args) == 2:\\n self.sourcename, self.max_thread = args\\n self.page_limit = '2'\\n elif len(args) == 3:\\n self.sourcename, self.max_thread, self.page_limit = args\\n\\n print \\\"Searching directory of %s ...\\\" % self.sourcename\\n self.sourcedir = mu.search_for_source(self.sourcename)\\n if not self.sourcedir:\\n print \\\"Directory of %s doesn't exist.\\\\n\\\" % self.sourcename\\n return\\n\\n self.sourcetype = self.get_source_type()\\n if self.sourcetype == 'blog':\\n process = BlogProcess(self.sourcename, self.sourcedir)\\n config_files = ('%s.xq' % self.sourcename, 'config.xml', 'globalConfig.xml', 'subSourceConfig.xml')\\n elif self.sourcetype == 'forum':\\n process = ForumProcess(self.sourcename, self.sourcedir, string.atoi(self.max_thread), self.page_limit)\\n config_files = ('%s-url.xq' % self.sourcename, '%s-thread.xq' % self.sourcename, 'finished.xml', 'webForumConfiguration.xml')\\n self.test_source(process, self.sourcedir, config_files)\",\n \"def setUp(self):\\n self._file = 'test.g3'\\n write_example_file(self._file)\",\n \"def test():\\n loader = unittest.TestLoader()\\n suite = loader.discover(os.path.dirname(__file__))\\n runner = unittest.TextTestRunner()\\n runner.run(suite)\",\n \"def test_jam_attempt(self):\\n self.run_test_suites(self.jam_test_suite_list)\",\n \"def test_T01():\",\n \"def test_run(self):\\n files = [\\n (\\\"AS1-1.phy_r8s.txt\\\", \\\"AS1-1.phy_r8s.txt_2.5.txt\\\"),\\n (\\\"AS1-3.phy_r8s.txt\\\", \\\"AS1-3.phy_r8s.txt_2.5.txt\\\"),\\n (\\\"AS1-4.phy_r8s.txt\\\", \\\"AS1-4.phy_r8s.txt_2.5.txt\\\"),\\n ]\\n for file_pair in files:\\n input_file = file_pair[0]\\n expected_file = file_pair[1]\\n infile = self.test_data_path + input_file\\n outfile = self.test_data_path + expected_file\\n divnum = 2.5\\n result = run(infile, divnum)\\n\\n with open(outfile) as handle:\\n expected_result = handle.read()\\n self.assertEqual(expected_result, result)\",\n \"def test_create_run(self):\\n pass\",\n \"def test_3():\",\n \"def test(self):\\n pass\",\n \"def reportThisTestRun(suiteName, make_benchmarks, comment, note, cvsTime, tests, testDir, testFile, fullWebDir):\\n \\n # get the current directory\\n currentDir = os.getcwd()\\n \\n # switch to the web directory and open the report file\\n os.chdir(fullWebDir)\\n\\n\\n # keep track of the number of tests that passed and the number that failed\\n numFailed = 0\\n numPassed = 0\\n\\n \\n #--------------------------------------------------------------------------\\n # generate the HTML page for this run of the test suite\\n #--------------------------------------------------------------------------\\n\\n # check to see if the CSS file is present, if not, write it\\n if (not os.path.isfile(\\\"tests.css\\\")):\\n create_css()\\n\\n\\n # create the master filename\\n htmlFile = \\\"index.html\\\"\\n \\n hf = open(htmlFile, 'w')\\n\\n newHead = HTMLHeader + r\\\"\\\"\\\"<CENTER><H1><A HREF=\\\"../\\\">@TESTDIR@</A> / @TESTNAME@</H1></CENTER>\\\"\\\"\\\"\\n\\n newHead = newHead.replace(\\\"@TESTDIR@\\\", suiteName)\\n newHead = newHead.replace(\\\"@TESTNAME@\\\", testDir)\\n\\n hf.write(newHead)\\n\\n if (not note == \\\"\\\"):\\n hf.write(\\\"<p><b>Test run note:</b><br><font color=\\\\\\\"gray\\\\\\\">%s</font>\\\\n\\\" % (note) )\\n \\n if (make_benchmarks):\\n hf.write(\\\"<p><b>Benchmarks updated</b><br>comment: <font color=\\\\\\\"gray\\\\\\\">%s</font>\\\\n\\\" % (comment) )\\n hf.write(\\\"<p> \\\\n\\\")\\n\\n \\n hf.write(\\\"<p><b>test input parameter file:</b> <A HREF=\\\\\\\"%s\\\\\\\">%s</A>\\\\n\\\" %\\n (testFile, testFile) )\\n\\n hf.write(\\\"<p> \\\\n\\\")\\n hf.write(\\\"<p><b>CVS update was done at: </b>%s\\\\n\\\" % (cvsTime) )\\n\\n sourceTree = getParam(\\\"main.sourceTree\\\")\\n\\n if (sourceTree == \\\"Parallel\\\"):\\n hf.write(\\\"<p> <b>cvs update on Parallel/:</b> <A HREF=\\\\\\\"%s\\\\\\\">%s</A>\\\\n\\\" %\\n (\\\"cvs.Parallel.out\\\", \\\"cvs.Parallel.out\\\") )\\n\\n hf.write(\\\"<p> <b>cvs update on fParallel/:</b> <A HREF=\\\\\\\"%s\\\\\\\">%s</A>\\\\n\\\" %\\n (\\\"cvs.fParallel.out\\\", \\\"cvs.fParallel.out\\\") ) \\n hf.write(\\\"<p> \\\\n\\\")\\n\\n\\n if (sourceTree == \\\"Parallel\\\"):\\n hf.write(\\\"<p> <b>Parallel/ ChangeLog:</b> <A HREF=\\\\\\\"%s\\\\\\\">%s</A>\\\\n\\\" %\\n (\\\"ChangeLog.Parallel\\\", \\\"ChangeLog.Parallel\\\") )\\n \\n hf.write(\\\"<p> <b>fParallel/ ChangeLog:</b> <A HREF=\\\\\\\"%s\\\\\\\">%s</A>\\\\n\\\" %\\n (\\\"ChangeLog.fParallel\\\", \\\"ChangeLog.fParallel\\\") ) \\n hf.write(\\\"<p> \\\\n\\\") \\n\\n hf.write(\\\"<P><TABLE BORDER=0 CELLPADDING=3>\\\\n\\\")\\n \\n # loop over the tests and add a line for each\\n for test in tests:\\n\\n if (not make_benchmarks):\\n \\n # check if it passed or failed\\n statusFile = \\\"%s.status\\\" % (test)\\n\\n sf = open(statusFile, 'r')\\n lines = sf.readlines()\\n\\n testPassed = 0\\n \\n for line in lines:\\n if (string.find(line, \\\"PASSED\\\") >= 0):\\n testPassed = 1\\n numPassed += 1\\n break\\n\\n if (not testPassed):\\n numFailed += 1\\n\\n \\n sf.close()\\n\\n # write out this test's status\\n hf.write(\\\"<TR><TD><A HREF=\\\\\\\"%s.html\\\\\\\">%s</A></TD><TD> </TD>\\\" %\\n (test, test) )\\n \\n if (testPassed):\\n hf.write(\\\"<TD><H3 class=\\\\\\\"passed\\\\\\\">PASSED</H3></TD></TR>\\\\n\\\")\\n else:\\n hf.write(\\\"<TD><H3 class=\\\\\\\"failed\\\\\\\">FAILED</H3></TD></TR>\\\\n\\\")\\n\\n \\n hf.write(\\\"<TR><TD> </TD></TR>\\\\n\\\")\\n\\n\\n else:\\n\\n if (getParam(test + \\\".restartTest\\\")):\\n continue\\n\\n if (getParam(test + \\\".compileTest\\\")):\\n continue\\n\\n if (getParam(test + \\\".selfTest\\\")):\\n continue\\n\\n \\n # the benchmark was updated -- find the name of the new benchmark file\\n benchStatusFile = \\\"%s.status\\\" % (test)\\n\\n bf = open(benchStatusFile, 'r')\\n lines = bf.readlines()\\n\\n benchFile = \\\"none\\\"\\n\\n for line in lines:\\n index = string.find(line, \\\"file:\\\")\\n if (index >= 0):\\n benchFile = line[index+5:]\\n break\\n \\n\\n if (not benchFile == \\\"none\\\"):\\n \\n hf.write(\\\"<TR><TD>%s</TD><TD> </TD><TD><H3 class=\\\\\\\"benchmade\\\\\\\">BENCHMARK UPDATED</H3></TD><TD> </TD><TD>(new benchmark file is %s)</TD></TR>\\\\n\\\" %\\n (test, benchFile) )\\n else:\\n hf.write(\\\"<TR><TD>%s</TD><TD> </TD><TD><H3 class=\\\\\\\"failed\\\\\\\">BENCHMARK NOT UPDATED</H3></TD><TD> </TD><TD>(compilation or execution failed)</TD></TR>\\\\n\\\" %\\n (test) )\\n \\n hf.write(\\\"<TR><TD> </TD></TR>\\\\n\\\")\\n\\n\\n hf.write(\\\"</TABLE>\\\\n\\\") \\n\\n # close\\n hf.write(\\\"</BODY>\\\\n\\\")\\n hf.write(\\\"</HTML>\\\\n\\\") \\n\\n hf.close()\\n\\n\\n #--------------------------------------------------------------------------\\n # write out a status file for all the tests\\n #--------------------------------------------------------------------------\\n \\n index = string.find(testDir, \\\"/\\\")\\n statusFile = testDir[0:index] + \\\".status\\\"\\n\\n sf = open(statusFile, 'w')\\n\\n if (not make_benchmarks):\\n if (numFailed == 0):\\n sf.write(\\\"ALL PASSED\\\\n\\\")\\n elif (numFailed > 0 and numPassed > 0):\\n sf.write(\\\"SOME FAILED\\\\n\\\")\\n else:\\n sf.write(\\\"ALL FAILED\\\\n\\\")\\n\\n else:\\n sf.write(\\\"BENCHMARKS UPDATED\\\\n\\\")\\n \\n sf.close()\\n \\n \\n # switch back to the original directory\\n os.chdir(currentDir)\",\n \"def run(self):\\n\\n config = self.config\\n\\n # Start fuzzy matcher\\n files = self.load_files_info()\\n real = config.get('students.ids', [])\\n matcher = FuzzyMatcher(files.keys(), real)\\n\\n # Remove certain matches\\n author_map = matcher.remove_exact(config.get_all_student_aliases())\\n matcher.fill_distances()\\n matcher.set_distance_threshold(0.90)\\n\\n # Match each missing author with the given real name\\n while matcher.shape[0] != 0 and False:\\n given_, real_ = matcher.closest_pair()\\n click.echo(f'\\\\nBest match for {given_}')\\n matches = self.ask_matches(given_, matcher.best_matches(given_, 5))\\n\\n if matches:\\n for match in matches:\\n matcher.remove_pair(given_, match)\\n config.add_student_aliases(match, [given_])\\n author_map[given_] = match\\n else:\\n matcher.remove_given(given_)\\n\\n # Save files\\n read_zip = lambda x: self.zipfile.open(x).read()\\n\\n for k, f in files.items():\\n if k in author_map:\\n data = read_zip(f.filename)\\n for name in author_map[k]:\\n path = Path(f'submitted/{name}/{self.category}/{self.name}.ipynb')\\n path.parent.mkdir(parents=True, exist_ok=True)\\n if not os.path.exists(path):\\n with open(path, 'wb') as fd:\\n fd.write(data)\",\n \"def test_written(self):\\n\\n checkit=subprocess.run([\\\"python\\\", \\\"../../taxonomy/src_files/rdp_lineage_to_tax.py\\\", \\\"-i\\\", \\\"../resource_files/rdp_test_taxonomy.csv\\\", \\\"-o\\\", \\\"test_rdp_taxonomy\\\"], capture_output=True, text=True)\\n \\n # is the folder there\\n self.assertTrue(os.path.exists(os.path.exists(\\\"../processed_files/rdp_prep_taxonomy\\\")))\\n \\n # there should be 2 files in there\\n files_in_dir=os.listdir(\\\"../processed_files/rdp_prep_taxonomy\\\")\\n self.assertEqual(len(files_in_dir), 2)\\n \\n for x in files_in_dir:\\n if x.split('.')[-1]=='txt':\\n taxonomy_file=x\\n \\n # does the test match the provided actual output\\n # rdp_team_taxonomy_check can be found on https://github.com/rdpstaff/classifier/issues/18\\n self.assertTrue(filecmp.cmp(\\\"../resource_files/rdp_team_taxonomy_check.txt\\\", \\\"../processed_files/rdp_prep_taxonomy/{}\\\".format(taxonomy_file)))\\n \\n shutil.rmtree(\\\"../processed_files/rdp_prep_taxonomy\\\")\",\n \"def test_execute_review_4(self):\\n review.execute_review(self.alchemist, self.test_dir,\\n self.review_test_dir.name,\\n sort=[\\\"gene.Name\\\"])\\n\\n self.assertTrue(self.review_test_dir.is_dir())\",\n \"def run(cls): \\n tests_to_run = cls.config.TESTS # A list of 5-tuple elements specifying the tests to run. See the\\n # 'Test Setup' section in config.py.template for more info.\\n test_group_name = \\\"Alchemist Tests\\\" # A short string identifier for this test run.\\n output_dir = cls.config.OUTPUT_DIR # The output file where we write results.\\n \\n try:\\n os.makedirs(output_dir,0o777)\\n except:\\n pass\\n num_tests_to_run = len(tests_to_run)\\n\\n print(OUTPUT_DIVIDER_STRING)\\n if num_tests_to_run == 1:\\n print(\\\"Running %d test in %s\\\" % (num_tests_to_run, test_group_name))\\n else:\\n print(\\\"Running %d tests in %s\\\" % (num_tests_to_run, test_group_name))\\n failed_tests = []\\n\\n cls.before_run_tests()\\n \\n spark_settings = []\\n for i in cls.config.SPARK_SETTINGS:\\n spark_settings.append(i.to_array()[0])\\n \\n output_settings = []\\n for i in cls.config.OUTPUT_SETTINGS:\\n output_settings.append(i.to_array()[0])\\n \\n main_class = \\\"altest.AlTest\\\"\\n\\n for meta_data, opt_sets in tests_to_run:\\n print(OUTPUT_DIVIDER_STRING + '\\\\n')\\n# print(\\\"Running test command: '%s' ... \\\" % main_class)\\n \\n meta = {}\\n meta_pairs = [i.to_tuple() for i in meta_data]\\n for mp in meta_pairs:\\n meta[mp[0].replace('-', '_')] = mp[1].replace('0x20', ' ')\\n \\n meta_settings = []\\n for i in meta_data:\\n meta_settings.append(i.to_array()[0])\\n \\n# stdout_filename = \\\"%s/%s.out\\\" % (output_dir, meta['short_name'])\\n# stderr_filename = \\\"%s/%s.err\\\" % (output_dir, meta['short_name'])\\n# \\n# out_file = open(output_dir + \\\"/\\\" + meta['short_name'] + \\\".out\\\", 'w')\\n\\n # Run a test for all combinations of the OptionSets given, then capture\\n # and print the output.\\n opt_set_arrays = [i.to_array() for i in opt_sets]\\n for opt_list in itertools.product(*opt_set_arrays):\\n\\n cmd = cls.get_spark_submit_cmd(spark_settings, main_class, output_settings, meta_settings, opt_list)\\n# print(\\\"\\\\nSetting env var SPARK_SUBMIT_OPTS: %s\\\" % java_opts_str)\\n# test_env[\\\"SPARK_SUBMIT_OPTS\\\"] = java_opts_str\\n print(\\\"Running command:\\\")\\n print(\\\"%s\\\\n\\\" % cmd)\\n Popen(cmd, shell=True, env=test_env).wait()\\n\\n try:\\n src = output_dir + meta['short_name'] + '_latest/'\\n src_files = os.listdir(src)\\n src_file = src_files[0][:-4]\\n new_dir = output_dir + src_file\\n os.makedirs(new_dir)\\n for file_name in src_files:\\n full_file_name = os.path.join(src, file_name)\\n if (os.path.isfile(full_file_name)):\\n shutil.copy(full_file_name, new_dir)\\n except:\\n pass\\n \\n# result_string = cls.process_output(config, meta['short_name'], opt_list,\\n# stdout_filename, stderr_filename)\\n# print(OUTPUT_DIVIDER_STRING)\\n# print(\\\"\\\\nResult: \\\" + result_string)\\n# print(OUTPUT_DIVIDER_STRING)\\n# if \\\"FAILED\\\" in result_string:\\n# failed_tests.append(meta['short_name'])\\n# \\n# \\n# out_file.write(result_string + \\\"\\\\n\\\")\\n# out_file.flush()\\n\\n if num_tests_to_run == 1:\\n print(\\\"Finished running %d test in %s.\\\" % (num_tests_to_run, test_group_name))\\n else:\\n print(\\\"Finished running %d tests in %s.\\\" % (num_tests_to_run, test_group_name))\\n# print(\\\"\\\\nNumber of failed tests: %d, failed tests: %s\\\" %\\n# (len(failed_tests), \\\",\\\".join(failed_tests)))\\n print(OUTPUT_DIVIDER_STRING)\",\n \"def run_tests(remit, sourcelist):\\n for source in sourcelist:\\n # - move into source's directory\\n os.chdir(source)\\n # - build worklist of commands\\n commands = list()\\n commands += test_matrix(remit, source)\\n commands += extra_tests(remit, source)\\n commands = remove_blacklist(remit, source, commands)\\n # - run the commands\\n for i, command in enumerate(commands):\\n print('[test %s: %s of %d] %s'\\n % (source,\\n str(i+1).rjust(len(str(len(commands)))),\\n len(commands),\\n ' '.join(command)))\\n subprocess.call(command)\\n # - move out of source's directory\\n os.chdir('..')\",\n \"def test(self):\\n # -- Test --\\n\\n # (1)\\n\\n # (2)\\n\\n # (3)\\n\\n # (4)\\n # -- Test --\",\n \"def setUp(self):\\n with open(\\\"temp.txt\\\", 'w') as index_file:\\n index_file.write(\\\"mutex\\\\nsemaphore\\\\nthread\\\\nsynchronization\\\")\\n self.book_text = \\\"\\\"\\\"As already discussed in Synchronization, Part 3: Working with\\nMutexes And Semaphores, there are critical parts of our code that\\ncan only be executed by one thread at a time. We describe this\\nrequirement as `mutual exclusion'; only one thread (or process) may have\\naccess to the shared resource.\\\"\\\"\\\"\",\n \"def startTestRun(self):\",\n \"def test(self):\\n cmd = TaskCreator.get_pytest() + \\\" \\\"\\n options = ('-vv '\\n '-n auto '\\n '--ignore=tests/experiments/ '\\n '--html=build/tests/html/tests.html '\\n '--junitxml=build/tests/xml/tests.xml '\\n '--cov ' + self.project_name_sc + ' '\\n '--cov-report term '\\n '--cov-report html:build/tests/coverage/html '\\n '--cov-report xml:build/tests/coverage/xml/coverage.xml ')\\n return {\\n \\\"actions\\\": [cmd + options],\\n \\\"verbosity\\\": 2\\n }\",\n \"def run_tests():\\n with open('buildspec.yml', 'r') as stream:\\n buildspec: dict = yaml.load(stream)\\n test_commands = buildspec.get('tests', [])\\n if len(test_commands) == 0:\\n exit(0)\\n\\n results = []\\n\\n for test_command in test_commands:\\n print(f'Running `{test_command}`')\\n p = subprocess.Popen(test_command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)\\n output = ''\\n for c in iter(p.stdout.readline, b''):\\n str_line = c if type(c) is str else c.decode('UTF-8')\\n sys.stdout.write(str_line)\\n output += str_line\\n\\n p.communicate()\\n results.append({\\n 'command': test_command,\\n 'status': 'passed' if p.returncode == 0 else 'failed',\\n 'output': output\\n })\\n\\n post_to_github(results)\",\n \"def test_quickstart_f(self):\\n\\n run_nbgrader([\\\"quickstart\\\", \\\"example\\\"])\\n\\n # it should fail if it already exists\\n run_nbgrader([\\\"quickstart\\\", \\\"example\\\"], retcode=1)\\n\\n # it should succeed if --force is given\\n os.remove(os.path.join(\\\"example\\\", \\\"nbgrader_config.py\\\"))\\n run_nbgrader([\\\"quickstart\\\", \\\"example\\\", \\\"-f\\\"])\\n assert os.path.exists(os.path.join(\\\"example\\\", \\\"nbgrader_config.py\\\"))\\n\\n # nbgrader validate should work\\n os.chdir(\\\"example\\\")\\n for nb in os.listdir(os.path.join(\\\"source\\\", \\\"ps1\\\")):\\n if not nb.endswith(\\\".ipynb\\\"):\\n continue\\n output = run_nbgrader([\\\"validate\\\", os.path.join(\\\"source\\\", \\\"ps1\\\", nb)], stdout=True)\\n assert output.strip() == \\\"Success! Your notebook passes all the tests.\\\"\\n\\n # nbgrader generate_assignment should work\\n run_nbgrader([\\\"generate_assignment\\\", \\\"ps1\\\"])\",\n \"def regression_test():\\n set_test_cache()\\n fetch.DATA_SOURCES = config.data_sources\\n path = abspath(joinpath(dirname(__file__), 'regression_files'))\\n\\n data_files = [p for f in listdir(path)\\n for p in [joinpath(path, f)]\\n if isfile(p)]\\n for file in data_files:\\n test = lambda: regression.replay_file(file)\\n test.description = \\\"Regression test on %s\\\"%file\\n yield test\",\n \"def setUp(self):\\n self.filename = os.path.join(abs_file_path, \\\"Text_analysis_test_file.txt\\\")\\n with open(self.filename, 'w') as f:\\n f.write('Now we are engaged in a great civil war.\\\\n'\\n 'testing wheether that nation,\\\\n'\\n 'or any nation so conceived and so dedicated,\\\\n'\\n 'can long endure.')\",\n \"def run_tests(sample_dir):\\n print(\\\"Preparing tests\\\")\\n sample_files = file.find_all_files(sample_dir)\\n total_files = len(sample_files)\\n progress = 0\\n results = [] # [[success, correct, filename, time, confidence, found_id],...]\\n for sample_file in sample_files:\\n progress += 1\\n print(\\\"\\\\rRunning tests (%d/%d)...\\\" % (progress, total_files), end=\\\"\\\")\\n sample_file_path = os.path.join(sample_dir, sample_file)\\n is_valid, song_id = file.get_song_id_from_filename(sample_file)\\n if not is_valid:\\n print(\\\"File %s doesn't have a valid filename, skipping\\\" % sample_file)\\n continue\\n if song_id == 0:\\n continue\\n success, confidences, found_song_id, result, time, title, artist = match.match_file(sample_file_path)\\n correct = song_id == found_song_id or (not success and song_id == 0)\\n results.append([success, correct, sample_file, time, confidences[0][1], found_song_id])\\n total_results = 0\\n total_successful_results = 0\\n total_correct_results = 0\\n total_correct_successful_results = 0\\n total_time = 0\\n times = []\\n for result in results:\\n total_results += 1\\n total_time += result[3]\\n times.append(result[3])\\n if not result[0]:\\n if result[1]:\\n print(\\\"Could not find %s in the database in %fs, as expected\\\" % (result[2], result[3]))\\n total_correct_results += 1\\n else:\\n print(\\\"File %s could not be matched in %fs\\\" % (result[2], result[3]))\\n else:\\n total_successful_results += 1\\n if result[1]:\\n print(\\\"File %s was correctly matched with a confidence of %f in %fs\\\" % (result[2], result[4], result[3]))\\n total_correct_results += 1\\n total_correct_successful_results += 1\\n else:\\n print(\\\"File %s was incorrectly matched with a confidence of %f in %fs. (found %d)\\\" % (result[2], result[4], result[3], result[5]))\\n print(\\\"========================================================================\\\")\\n print(\\\" Tests run: %d\\\" % total_results)\\n print(\\\" Tests successful: %d\\\" % total_successful_results)\\n print(\\\" Tests correct: %d\\\" % total_correct_results)\\n print(\\\"------------------------------------------------------------------------\\\")\\n print(\\\" Average time: %fs\\\" % (total_time/total_results))\\n print(\\\" 90-percentile: %fs\\\" % get_90_percentile(times))\\n print(\\\" Percentage correct of successful: %f\\\" % ((float(total_correct_successful_results)/total_successful_results)*100))\\n print(\\\" Percentage correct of total: %f\\\" % ((float(total_correct_results)/total_results)*100))\\n print(\\\"========================================================================\\\")\",\n \"def test(self):\\n pdb_path = join_path(self.test_suite.current_test_cache_dir, \\\"pdb\\\")\\n self.run_test(\\n \\\"mkdssp\\\",\\n options=[\\\"1ALK.pdb\\\", \\\"1alk.dssp\\\"],\\n purpose=\\\"test: calculating structure for example\\\",\\n installed=True,\\n work_dir=pdb_path,\\n )\",\n \"def submit_simulation(sim_dir, job_file):\\n subprocess.run(['sbatch', job_file], cwd=sim_dir)\\n pass\",\n \"def runTest(self):\\n self.setUp()\\n self.test_MarkupsInViewsSelfTest1()\",\n \"def runalltests():\\n doctest.testmod()\",\n \"def test():\\n for cmd in [\\n \\\"pytest --verbose --cov pike/ --cov-report term --cov-report html tests/\\\",\\n ]:\\n _run_in_venv(shlex.split(cmd))\\n for linter in [[\\\"black\\\", \\\"--check\\\"], [\\\"flake8\\\"], [\\\"isort\\\", \\\"--check\\\"]]:\\n _run_in_venv(linter + TEST_FILES)\\n\\n _run_in_venv(\\n [\\\"mypy\\\", \\\"pike/\\\", \\\"tests/\\\", \\\"setup.py\\\", \\\"pikefile.py\\\", \\\"--show-error-codes\\\"]\\n )\\n _run_in_venv([\\\"mypy\\\", \\\"examples/\\\"])\\n _run_in_venv([\\\"bandit\\\", \\\"-r\\\", \\\"pike/\\\"])\",\n \"def test_something():\",\n \"def theTests(path_to_code_to_check=\\\"../me\\\"):\\n print(\\\"\\\\nWelcome to the exam!\\\")\\n print(\\\"May the odds be ever in your favour.\\\\nEspecially today!\\\")\\n\\n if ex_runs(path_to_code_to_check, exerciseNumber=1, weekNumber=SET_NUMBER):\\n exam = loadExerciseFile(\\n path_to_code_to_check, weekNumber=SET_NUMBER, exerciseNumber=1\\n )\\n\\n # testResults.append(test(test_flake8(ex1path), \\\"pass the linter\\\"))\\n exam_test(\\n True,\\n [],\\n exam.string_please,\\n finishing_function=lambda x: type(x) is str,\\n extra_message=\\\"Don't over think this! just return a string!\\\",\\n )\\n exam_test(\\n True,\\n [],\\n exam.list_please,\\n finishing_function=lambda x: type(x) is list,\\n extra_message=\\\"Don't over think this! just return a list!\\\",\\n )\\n exam_test(\\n True,\\n [],\\n exam.dictionary_please,\\n finishing_function=lambda x: type(x) is dict,\\n extra_message=\\\"Don't over think this! just return a dictionary!\\\",\\n )\\n exam_test(True, [5], exam.is_it_5)\\n exam_test(False, [4], exam.is_it_5)\\n exam_test(False, [\\\"cats\\\"], exam.is_it_5)\\n exam_test(0, [5], exam.take_five)\\n exam_test(5, [10], exam.take_five)\\n exam_test(-5, [0], exam.take_five)\\n\\n exam_test(\\\"Hello the Queen\\\", [\\\"the Queen\\\"], exam.greet)\\n exam_test(\\\"Hello Pr♂nc♀♂\\\", [\\\"Pr♂nc♀♂\\\"], exam.greet)\\n\\n exam_test(4, [[3, 3, 3, 3, 1]], exam.three_counter)\\n exam_test(0, [[0, 1, 2, 5, -9]], exam.three_counter)\\n\\n exam_test(2, [7], exam.n_counter)\\n exam_test(5, [0, [0, 0, 0, 0, 0, [0]]], exam.n_counter)\\n\\n # fmt: off\\n fizza = [\\n 1, 2, \\\"Fizz\\\", 4, \\\"Buzz\\\", \\\"Fizz\\\", 7, 8, \\\"Fizz\\\", \\\"Buzz\\\", 11, \\\"Fizz\\\", \\n 13, 14, \\\"FizzBuzz\\\", 16, 17, \\\"Fizz\\\", 19, \\\"Buzz\\\", \\\"Fizz\\\", 22, 23, \\n \\\"Fizz\\\", \\\"Buzz\\\", 26, \\\"Fizz\\\", 28, 29, \\\"FizzBuzz\\\", 31, 32, \\\"Fizz\\\", 34, \\n \\\"Buzz\\\", \\\"Fizz\\\", 37, 38, \\\"Fizz\\\", \\\"Buzz\\\", 41, \\\"Fizz\\\", 43, 44, \\n \\\"FizzBuzz\\\", 46, 47, \\\"Fizz\\\", 49, \\\"Buzz\\\", \\\"Fizz\\\", 52, 53, \\\"Fizz\\\", \\n \\\"Buzz\\\", 56, \\\"Fizz\\\", 58, 59, \\\"FizzBuzz\\\", 61, 62, \\\"Fizz\\\", 64, \\\"Buzz\\\", \\n \\\"Fizz\\\", 67, 68, \\\"Fizz\\\", \\\"Buzz\\\", 71, \\\"Fizz\\\", 73, 74, \\\"FizzBuzz\\\", 76, \\n 77, \\\"Fizz\\\", 79, \\\"Buzz\\\", \\\"Fizz\\\", 82, 83, \\\"Fizz\\\", \\\"Buzz\\\", 86, \\\"Fizz\\\", \\n 88, 89, \\\"FizzBuzz\\\", 91, 92, \\\"Fizz\\\", 94, \\\"Buzz\\\", \\\"Fizz\\\", 97, 98, \\n \\\"Fizz\\\", \\\"Buzz\\\", ]\\n # fmt: on\\n exam_test(fizza, [], exam.fizz_buzz)\\n\\n exam_test(\\n \\\"|a| |s|e|r|i|a|l| |k|i|l|l|e|r|\\\", [\\\"a serial killer\\\"], exam.put_behind_bars\\n )\\n exam_test(\\\"|a| |b|a|r|t|e|n|d|e|r|\\\", [\\\"a bartender\\\"], exam.put_behind_bars)\\n\\n exam_test([\\\"red fox\\\"], [\\\"x\\\"], exam.pet_filter)\\n exam_test([], [\\\"q\\\"], exam.pet_filter)\\n exam_test(\\n [\\\"pig\\\", \\\"sheep\\\", \\\"guinea pig\\\", \\\"pigeon\\\", \\\"alpaca\\\", \\\"guppy\\\"],\\n [\\\"p\\\"],\\n exam.pet_filter,\\n )\\n\\n exam_test(\\\"e\\\", [], exam.best_letter_for_pets)\\n\\n word_lengths = [[3, 3, 3], [4, 4, 4], [5, 5, 5], [6, 6, 6], [7, 7, 7]]\\n exam_test(\\n word_lengths,\\n [],\\n exam.make_filler_text_dictionary,\\n lambda x: [[len(w) for w in x[k]] for k in x.keys()],\\n )\\n\\n exam_test(\\n True,\\n [50],\\n exam.random_filler_text,\\n lambda x: len(x.split(\\\" \\\")) == 50 and len(x) > 3 * 50,\\n )\\n\\n exam_test(\\n True,\\n [1000],\\n exam.random_filler_text,\\n lambda x: len(x.split(\\\" \\\")) == 1000 and len(x) > 3 * 1000,\\n )\\n\\n clean_out_old_env()\\n\\n exam_test(\\n True,\\n [100],\\n exam.fast_filler,\\n lambda x: len(x.split(\\\" \\\")) == 100 and len(x) > 3 * 100,\\n # chdir=True, # NFI what this does :(\\n )\\n\\n # exam_test(True, [\\\"./week8/dict_racey.json\\\"], os.path.exists)\\n\\n exam_test(\\n True,\\n [10],\\n exam.fast_filler,\\n lambda x: x[0] in string.ascii_uppercase and x[1] in string.ascii_lowercase,\\n \\\"Test if fast_filler is capitalised\\\",\\n )\\n exam_test(\\n True,\\n [10],\\n exam.fast_filler,\\n lambda x: x[-1] == \\\".\\\",\\n \\\"Test if fast_filler finishes with a .\\\",\\n )\\n\\n print(\\n \\\"The point of saving the dictionary is that it's fast!\\\",\\n \\\"The pattern of saving a value locally so that you don't\\\",\\n \\\"need to go and get it is called caching.\\\",\\n \\\"This test runs fast_filler 10 times, and if it manages it in less\\\",\\n \\\"than a second, then you're good to go!\\\",\\n sep=\\\"\\\\n\\\",\\n )\\n try:\\n TIMEOUT_IN_SECONDS = 1\\n func_timeout(\\n TIMEOUT_IN_SECONDS,\\n lambda: [exam.fast_filler(1000) for _ in range(10)],\\n args=[],\\n )\\n testResults.append(test(True, \\\"subsequent fast_filler\\\"))\\n except FunctionTimedOut as t:\\n m = (\\n \\\"Timed out trying to run fast filler 10 times in 1 second, \\\"\\n \\\"subsequent fast_filler probably wasn't fast enough\\\"\\n )\\n print(m, str(t))\\n testResults.append(test(False, m + str(t)))\\n except Exception as e:\\n testResults.append(test(False, \\\"subsequent fast_filler failed: \\\" + str(e)))\\n\\n message = (\\n \\\"Cowabunga! You've got all the tests passing!\\\\n\\\"\\n \\\"Well done, that's all the exercises for this term out of the way!\\\"\\n )\\n print(testResults)\\n return finish_up(testResults, message, nyan_cat())\",\n \"def run_tests(self):\\n\\n self.manifest_path = os.path.join('tests',\\n 'l10n',\\n 'manifest.ini')\\n TestRun.run_tests(self)\",\n \"def task_test():\\n return {\\n \\\"actions\\\": [[\\\"pytest\\\", \\\"--cov=mad_gui\\\", \\\"--cov-config=.coveragerc\\\", \\\"-vv\\\"]],\\n \\\"verbosity\\\": 2,\\n }\",\n \"def test_message_as_student(self, do_student_launch):\\n\\n response = do_student_launch()\\n\\n assert_launched_as_student(response)\",\n \"def test_execute_review_7(self):\\n review.execute_review(self.alchemist, self.test_dir,\\n self.review_test_dir.name,\\n s_report=True)\\n\\n self.assertTrue(self.review_test_dir.is_dir())\\n\\n summary_report_file = self.review_test_dir.joinpath(\\\"SummaryReport.txt\\\")\\n self.assertTrue(summary_report_file.is_file())\",\n \"def main_tester():\\n create_tester_paths()\\n _logger.info(' -- tester init done setting up paths and db file.')\",\n \"def test():\\n pass\",\n \"def test_all():\\n test_prepare_text()\\n test_end_chat()\\n test_choose_author()\\n test_choose_book()\",\n \"def test():\\n current_directory = os.getcwd()\\n os.chdir(PACKAGE_DIR)\\n pytest.main()\\n os.chdir(current_directory)\",\n \"def test_text_classifier_add_testing_samples(self):\\n pass\",\n \"def run_tests(self):\\n\\n self.manifest_path = os.path.join('tests',\\n 'functional',\\n 'manifest.ini')\\n TestRun.run_tests(self)\",\n \"def run(self):\\n if self.verbose:\\n print(f'Running {self.name} tests...')\\n\\n # try running setup if there is one\\n if self.setup:\\n self.__process_setup()\\n\\n final_report = [None] * len(self.tests)\\n\\n for test_in, test_out in sorted(self.tests.items()):\\n # increment total num of tests\\n self.total += 1\\n\\n if self.verbose:\\n print(f'#{self.total}')\\n\\n # evaluate test input w/ setup vars, if any\\n try:\\n inp = eval(test_in, self.vars)\\n except Exception as err:\\n print(f'Issue during evaluation of test input: {err}')\\n final_report[self.total - 1] = 'input eval error'\\n if self.verbose:\\n print(f'Test input was: {test_in}')\\n print('Vars from execution: {}'.format({k : v for k, v in self.vars.items() if k != '__builtins__'}))\\n continue\\n\\n \\n # checking if function input has more than one arg\\n if type(inp) in (list, tuple):\\n try:\\n student_out = self.student_function(*inp)\\n except Exception as err:\\n print(f'Issue while running student code: {err}')\\n final_report[self.total - 1] = f'student code error: {err}; input: {inp}; func_name: {self.name}'\\n if self.verbose:\\n print(f'Function being run was: {self.name}')\\n print(f'Inputs were: {inp}')\\n continue\\n else:\\n try:\\n student_out = self.student_function(inp)\\n except Exception as err:\\n print(f'Issue while running student code: {err}')\\n final_report[self.total - 1] = f'student code error: {err}; input: {inp}; func_name: {self.name}'\\n if self.verbose:\\n print(f'Function being run was: {self.name}')\\n print(f'Input was: {inp}')\\n continue\\n\\n # ans alias for ease of answer checking\\n self.vars['ans'] = student_out\\n\\n if self.schema:\\n format_vals = eval(test_out, self.vars)\\n results, maybe_failed_schema = self.__process_schema(format_vals)\\n if all(results):\\n self.correct += 1\\n final_report[self.total - 1] = 'PASSED'\\n else:\\n # failed at least one of the tests\\n failed_str = \\\" and \\\".join([\\\", \\\".join(maybe_failed_schema[:-1]),maybe_failed_schema[-1]] if len(maybe_failed_schema) > 2 else maybe_failed_schema)\\n final_report[self.total - 1] = f'FAILED; failed following assertion(s): {failed_str}'\\n else:\\n expected_ans = eval(test_out, self.vars)\\n if student_out == expected_ans:\\n self.correct += 1\\n final_report[self.total - 1] = 'PASSED'\\n else:\\n # failed the only test\\n final_report[self.total - 1] = f'FAILED; got {repr(student_out)} but expected {repr(expected_ans)}'\\n\\n # run callback function, if there is one\\n if self.callback:\\n if self.verbose:\\n print('Running callback...')\\n print('call back is:', self.callback)\\n\\n # once done, put the final report on the queue\\n self.queue.put((self.student_username, self.name, f'{self.correct}/{self.total}', final_report))\",\n \"def test_2():\",\n \"def asserts():\\n args = parser()\\n tests = read_testfile(args.testfile)\\n provider = get_provider_class(args)\\n provider.set_tests(tests)\\n provider.action()\",\n \"def test_quickstart(self, fake_home_dir):\\n\\n run_nbgrader([\\\"quickstart\\\", \\\"example\\\"])\\n\\n # it should fail if it already exists\\n run_nbgrader([\\\"quickstart\\\", \\\"example\\\"], retcode=1)\\n\\n # it should succeed if --force is given\\n os.remove(os.path.join(\\\"example\\\", \\\"nbgrader_config.py\\\"))\\n run_nbgrader([\\\"quickstart\\\", \\\"example\\\", \\\"--force\\\"])\\n assert os.path.exists(os.path.join(\\\"example\\\", \\\"nbgrader_config.py\\\"))\\n\\n # nbgrader validate should work\\n os.chdir(\\\"example\\\")\\n for nb in os.listdir(os.path.join(\\\"source\\\", \\\"ps1\\\")):\\n if not nb.endswith(\\\".ipynb\\\"):\\n continue\\n output = run_nbgrader([\\\"validate\\\", os.path.join(\\\"source\\\", \\\"ps1\\\", nb)], stdout=True)\\n assert output.strip() == \\\"Success! Your notebook passes all the tests.\\\"\\n\\n # nbgrader generate_assignment should work\\n run_nbgrader([\\\"generate_assignment\\\", \\\"ps1\\\"])\\n\\n # there should be no autotests in any notebook in ps1\\n for nb in os.listdir(os.path.join(\\\"source\\\", \\\"ps1\\\")):\\n if not nb.endswith(\\\".ipynb\\\"):\\n continue\\n with open(os.path.join(\\\"source\\\", \\\"ps1\\\", nb), 'r') as f:\\n assert \\\"AUTOTEST\\\" not in f.read()\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.63928264","0.634952","0.61645955","0.60830367","0.60749525","0.6020589","0.5999138","0.59990764","0.5984428","0.59788895","0.59666836","0.59627587","0.5923612","0.5902439","0.5902212","0.5883938","0.582872","0.5822552","0.5814578","0.58090425","0.5800156","0.57672775","0.5761405","0.57612985","0.5743748","0.57276803","0.5699618","0.5699546","0.567072","0.5666027","0.56627357","0.5652386","0.5639564","0.56305194","0.5629717","0.5625641","0.5625092","0.5604486","0.55985844","0.5598375","0.5586031","0.55787516","0.55766743","0.55749655","0.5571448","0.55694634","0.5557426","0.5556809","0.55516","0.55471385","0.55470514","0.5542268","0.5532874","0.55192983","0.55174446","0.55142903","0.5509331","0.5500175","0.54784036","0.5471945","0.5468654","0.5456468","0.545643","0.5450412","0.5450381","0.54499525","0.5449918","0.5447285","0.5441501","0.543782","0.5436006","0.54349214","0.54270065","0.542579","0.54194546","0.54145175","0.54098094","0.5406673","0.53980726","0.53956246","0.5385513","0.53759015","0.53747654","0.53732467","0.53714085","0.53711146","0.5369707","0.5369647","0.53682303","0.5367548","0.5366555","0.53665173","0.5363485","0.5354653","0.5354617","0.53523904","0.5351164","0.5347756","0.53465533","0.5344139"],"string":"[\n \"0.63928264\",\n \"0.634952\",\n \"0.61645955\",\n \"0.60830367\",\n \"0.60749525\",\n \"0.6020589\",\n \"0.5999138\",\n \"0.59990764\",\n \"0.5984428\",\n \"0.59788895\",\n \"0.59666836\",\n \"0.59627587\",\n \"0.5923612\",\n \"0.5902439\",\n \"0.5902212\",\n \"0.5883938\",\n \"0.582872\",\n \"0.5822552\",\n \"0.5814578\",\n \"0.58090425\",\n \"0.5800156\",\n \"0.57672775\",\n \"0.5761405\",\n \"0.57612985\",\n \"0.5743748\",\n \"0.57276803\",\n \"0.5699618\",\n \"0.5699546\",\n \"0.567072\",\n \"0.5666027\",\n \"0.56627357\",\n \"0.5652386\",\n \"0.5639564\",\n \"0.56305194\",\n \"0.5629717\",\n \"0.5625641\",\n \"0.5625092\",\n \"0.5604486\",\n \"0.55985844\",\n \"0.5598375\",\n \"0.5586031\",\n \"0.55787516\",\n \"0.55766743\",\n \"0.55749655\",\n \"0.5571448\",\n \"0.55694634\",\n \"0.5557426\",\n \"0.5556809\",\n \"0.55516\",\n \"0.55471385\",\n \"0.55470514\",\n \"0.5542268\",\n \"0.5532874\",\n \"0.55192983\",\n \"0.55174446\",\n \"0.55142903\",\n \"0.5509331\",\n \"0.5500175\",\n \"0.54784036\",\n \"0.5471945\",\n \"0.5468654\",\n \"0.5456468\",\n \"0.545643\",\n \"0.5450412\",\n \"0.5450381\",\n \"0.54499525\",\n \"0.5449918\",\n \"0.5447285\",\n \"0.5441501\",\n \"0.543782\",\n \"0.5436006\",\n \"0.54349214\",\n \"0.54270065\",\n \"0.542579\",\n \"0.54194546\",\n \"0.54145175\",\n \"0.54098094\",\n \"0.5406673\",\n \"0.53980726\",\n \"0.53956246\",\n \"0.5385513\",\n \"0.53759015\",\n \"0.53747654\",\n \"0.53732467\",\n \"0.53714085\",\n \"0.53711146\",\n \"0.5369707\",\n \"0.5369647\",\n \"0.53682303\",\n \"0.5367548\",\n \"0.5366555\",\n \"0.53665173\",\n \"0.5363485\",\n \"0.5354653\",\n \"0.5354617\",\n \"0.53523904\",\n \"0.5351164\",\n \"0.5347756\",\n \"0.53465533\",\n \"0.5344139\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.6165958"},"document_rank":{"kind":"string","value":"2"}}},{"rowIdx":86789,"cells":{"query":{"kind":"string","value":"Frame a time series as a supervised learning dataset."},"document":{"kind":"string","value":"def series_to_supervised(self,data, n_in=1, n_out=1, dropnan=True): \n n_vars = 1 if type(data) is list else data.shape[1]\n df = pd.DataFrame(data)\n cols, names = list(), list()\n # input sequence (t-n, ... t-1)\n for i in range(n_in, 0, -1):\n cols.append(df.shift(i))\n names += [('var%d(t-%d)' % (j+1, i)) for j in range(n_vars)]\n # forecast sequence (t, t+1, ... t+n)\n for i in range(0, n_out):\n cols.append(df.shift(-i))\n if i == 0:\n names += [('var%d(t)' % (j+1)) for j in range(n_vars)]\n else:\n names += [('var%d(t+%d)' % (j+1, i)) for j in range(n_vars)]\n # put it all together\n agg = pd.concat(cols, axis=1)\n agg.columns = names\n # drop rows with NaN values\n if dropnan:\n agg.dropna(inplace=True)\n self.agg=agg\n return agg"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def timeseries_dataframe(self):\n return","def get_dataset_from_series(dataset_pproc, n_hours):\n # obtenemos los valores como una matriz\n values = dataset_pproc.values\n # ensure all data is float\n values = values.astype(\"float32\")\n # normalize features\n scaler = MinMaxScaler(feature_range=(0, 1))\n scaled = scaler.fit_transform(values)\n scaled = pd.DataFrame(\n scaled, columns=dataset_pproc.columns\n ) # frame as supervised learning\n\n reframed = series_to_supervised(scaled, n_hours, 1)\n return reframed, scaler","def ts_fit(series: TimeSeries) -> TimeSeries:\n pass","def dataTimeSeries(timesteps,df,predictors,target,dropnan,out=2,dropVars=True): \r\n \r\n series = series_to_supervised(df[predictors+[target]].copy(),timesteps,out,dropnan=dropnan)\r\n \r\n if dropnan==False:\r\n series.replace(pd.np.nan,0,inplace=True)\r\n \r\n # Dropping other variables:\r\n if dropVars:\r\n index = list(np.arange(series.shape[1]-2,\r\n series.shape[1]-len(predictors)-2,\r\n -1))\r\n \r\n labels = [item for idx,item in enumerate(series.columns) \r\n if idx in index]\r\n \r\n #print(\"Eliminando variáveis: {}\".format(labels))\r\n series.drop(labels,axis=1,inplace=True) \r\n \r\n return series","def to_timeseries(self) -> TimeseriesDataset:\n return TimeseriesDataset(self.data, provenance=self.provenance)","def set_training_data(self, *, inputs: Inputs, outputs: Outputs) -> None:\n\n # save copy of train data so we don't predict for each row in training\n self._output_columns = outputs.columns\n self._train_data = inputs.copy()\n\n # combine inputs and outputs for internal TimeSeries object\n self._ts_frame = inputs.append_columns(outputs)\n\n # Parse cols needed for ts object\n # TODO should only find cols to drop once!\n self._get_cols(self._ts_frame.metadata)\n\n # Mark time difference (between min and min + 1 timestamp)\n if self._grouping_column is None:\n self._max_train = max(self._ts_frame.iloc[:, self._timestamp_column])\n self._train_diff = int(\n np.diff(np.sort(self._ts_frame.iloc[:, self._timestamp_column]))[0]\n )\n else:\n g_col, t_col = (\n self._ts_frame.columns[self._grouping_column],\n self._ts_frame.columns[self._timestamp_column],\n )\n self._max_train = self._ts_frame.groupby(g_col)[t_col].agg(\"max\")\n # making simplifying assumption that difference is the same across all groups\n self._train_diff = int(\n self._ts_frame.groupby(g_col)[t_col]\n .apply(lambda x: np.diff(np.sort(x))[0])\n .iloc[0]\n )\n\n # assumption is that integer timestamps are days (treated this way by DeepAR objects)\n timestamp_semantic_types = self._ts_frame.metadata.query_column_field(\n self._timestamp_column, \"semantic_types\"\n )\n if \"http://schema.org/Integer\" in timestamp_semantic_types:\n self._integer_timestamps = True\n else:\n self._integer_timestamps = False\n\n # drop cols if multiple grouping columns\n if len(self._drop_cols) > 0:\n self._ts_frame = self._ts_frame.remove_columns(self._drop_cols)\n self._update_indices()\n\n # Create TimeSeries dataset object and learner\n self._create_data_object_and_learner(self.hyperparams[\"val_split\"])\n\n # mark that new training data has been set\n self._new_train_data = True","def series_to_supervised(data, n_in=1, n_out=1, dropnan=True, stride=None, dates=False, leaks=True):\n df = pd.DataFrame(data)\n \n time = None\n if 'date' in df.columns:\n time = 'date'\n elif 'time' in df.columns:\n time = 'time'\n if time != None:\n df = df.drop([time], axis=1)\n \n if 'leak' in df.columns:\n df = df.drop(['leak'], axis=1) \n n_vars = df.shape[1]\n times_column = list()\n if dates and time != None:\n times_column = data[time]\n del data\n \n cols, names, pivots = list(), list(), list()\n \n # input sequence (t-n, ... t-1)\n for i in range(n_in, 0, -1):\n cols.append(df.shift(i))\n names += [('var%d(t-%d)' % (j+1, i)) for j in range(n_vars)]\n\t# forecast sequence (t, t+1, ... t+n)\n for i in range(0, n_out):\n cols.append(df.shift(-i))\n if i == 0:\n names += [('var%d(t)' % (j+1)) for j in range(n_vars)]\n else:\n names += [('var%d(t+%d)' % (j+1, i)) for j in range(n_vars)]\n\t# put it all together\n agg = pd.concat(cols, axis=1)\n \n agg.columns = names\n\n #stride - delete windows\n if stride != None:\n indexes_to_drop = list()\n for i in range(stride, agg.shape[0], stride):\n print(\"index\", i)\n pivots += [i]\n \n onset = 0\n offset = pivots[0]\n for i in range(0, len(pivots)):\n print(\"onset\", onset)\n print(\"offset\", offset)\n to_drop = [ x for x in range(onset,offset)]\n indexes_to_drop += to_drop\n try:\n onset = pivots[i] + 1\n offset = pivots[i+1]\n \n except IndexError:\n onset = pivots[i] + 1\n offset = agg.shape[0]\n to_drop = [ x for x in range(onset,offset)]\n indexes_to_drop += to_drop\n \n \n \n print(\"indexes_to_drop\", indexes_to_drop)\n \n agg.drop(df.index[indexes_to_drop], inplace=True)\n \"\"\"\n if dates and time!=None:\n agg[time] = times_column\n \"\"\" \n # drop rows with NaN values \n if dropnan:\n agg.dropna(inplace=True)\n \n\n return agg","def fake_data(sample_rate=512,psd_segment_length=60,nsegs=16):\n epoch = 1153742417.0\n ts_data = numpy.random.normal(0,1,sample_rate*psd_segment_length*nsegs)\n ts_data = types.TimeSeries(ts_data,delta_t=1.0/sample_rate,epoch=epoch)\n return ts_data","def TimeFrame(*args, **kwargs):\n underride(kwargs, dtype=float)\n return pd.DataFrame(*args, **kwargs)","def fit_timeseries(xdates, ydata):\n\n pass","def set_time_series(data):\n t = pandas.Series(\n (data['TIME_StartTime'] -\n data['TIME_StartTime'].values[0]) / 1.0e6, name='t, sec')\n data = pandas.DataFrame(\n data.values,\n columns=data.columns, index=t)\n return data","def __init__(self, pandas_dataframe, dates_column, target_column, regressors=None, train_test_split=0.66, seed=7,\n look_back=1, look_forward=1, interval=0):\n data = pd.DataFrame(index=pandas_dataframe[dates_column].values, data=pandas_dataframe[target_column].values)\n # Calculate the training set size\n train_size = int(len(data)*train_test_split)\n # Scale the data pre-train/test split\n scaler = MinMaxScaler(feature_range=(0, 1))\n self.scaler = scaler\n data = scaler.fit_transform(data)\n # Get the time series as stationary (for the given interval, if 0 don't make it a series of 0)\n if interval > 0:\n data = difference(data, interval)\n # Map the series to a supervised problem (values for days 1-n with regressors for these days to predict days\n # n + 1 ... n + k\n x, y = timeseries_to_supervised(data, look_back=look_back, look_forward=look_forward)\n # Split train and test\n self.x_train, self.y_train = x[:train_size], y[:train_size]\n self.x_test, self.y_test = x[train_size:], y[train_size:]\n # Use regressors if required\n if regressors is not None:\n self.x_train, self.x_test = add_regressors(self.x_train, self.x_test, regressors, pandas_dataframe,\n dates_column, look_forward, look_back)\n # Set last attributes\n self.seed = seed\n self.look_back = look_back\n self.look_forward = look_forward\n self.regressors = regressors","def pandas_to_data_timeseries(df, feat, n_timesteps = 5, id_col = 'PTID', time='VISCODE'):\n # Order the dataframe\n df = df.sort_values(by=[id_col, time], ascending=False)\n\n #Nuumber of samples\n sample_list = np.unique(df[id_col])\n\n # Create base numpy structure\n X = np.zeros((len(sample_list), n_timesteps, len(feat)))\n # Iterate over each subject and fill it\n df_feats = df.loc[:, feat]\n i = 0\n for ptid in sample_list:\n i_list = df.index[df['PTID'] == ptid]\n feats = df_feats.iloc[i_list, :].values\n X[i, :, :] = feats\n i += 1\n\n # Return numpy dataframe\n return X","def fit(self, series: TimeSeries) -> None:\n series._assert_univariate()\n self.training_series = series\n self.target_series = series\n super().fit()","def prepare_dataset(self, stock):\n dataset = pd.DataFrame(yf.download(stock))\n dataset_train = dataset[0:len(dataset)-30] # Training dataset will be the whole dataset minus the test dataset\n training_set = dataset_train.iloc[:, 1:2].values # Use the open values only\n\n # Feature Scaling\n sc = MinMaxScaler(feature_range=(0, 1)) # Scales all values so that they are in the range (0, 1)\n training_set_scaled = sc.fit_transform(training_set)\n\n # Create an input data structure with a timestep\n x_train = []\n y_train = []\n for i in range(self.timestep, len(dataset)-30):\n x_train.append(training_set_scaled[i - self.timestep:i, 0])\n y_train.append(training_set_scaled[i, 0])\n x_train, y_train = np.array(x_train), np.array(y_train)\n\n # Reshaping\n x_train = np.reshape(x_train, (x_train.shape[0], x_train.shape[1], 1))\n\n return x_train, y_train","def model():\n return TimeSeriesMultiReg()","def series_to_supervised(data, n_in=1, delta_in=1, n_out=1,delta_out=1, dropnan=True):\n\n if (type(data) is list) or (type(data) is pd.Series):\n n_vars = 1\n else:\n n_vars =data.shape[1]\n df = pd.DataFrame(data)\n cols, names = list(), list()\n # input sequence (t-n, ... t-1)\n for i in range(n_in, 0, -delta_in):\n cols.append(df.shift(i))\n names += [('var%d(t-%d)' % (j+1, i)) for j in range(n_vars)]\n # forecast sequence (t, t+1, ... t+n)\n for i in range(0, n_out, delta_out):\n cols.append(df.shift(-i))\n if i == 0:\n names += [('var%d(t)' % (j+1)) for j in range(n_vars)]\n else:\n names += [('var%d(t+%d)' % (j+1, i)) for j in range(n_vars)]\n # put it all together\n agg = pd.concat(cols, axis=1)\n agg.columns = names\n # drop rows with NaN values\n if dropnan:\n return agg.dropna()\n else:\n return agg","def create_train_time_series_dataset(self, max_encoder_length=50, max_prediction_length=25,\n batch_size=128, num_workers=0):\n # max_encoder_length = n*max_prediction_length n E [2,7]\n\n training_cutoff = self.data['time_idx'].max() - max_prediction_length\n\n context_length = max_encoder_length\n prediction_length = max_prediction_length\n\n self.training = TimeSeriesDataSet(\n self.data[lambda x: x.time_idx <= training_cutoff],\n time_idx='time_idx',\n target='value',\n categorical_encoders={'series': NaNLabelEncoder().fit(self.data.series)},\n group_ids=['series'],\n time_varying_unknown_reals=[\"value\"],\n max_encoder_length=context_length,\n max_prediction_length=prediction_length,\n )\n\n validation = TimeSeriesDataSet.from_dataset(self.training, self.data, min_prediction_idx=training_cutoff + 1)\n train_dataloader = self.training.to_dataloader(train=True, batch_size=batch_size, num_workers=num_workers)\n val_dataloader = validation.to_dataloader(train=False, batch_size=batch_size, num_workers=num_workers)\n\n return train_dataloader, val_dataloader","def series_to_supervised(data, n_in=1, n_out=1, dropnan=True):\n n_vars = 1 if type(data) is list else data.shape[1]\n df = pd.DataFrame(data)\n cols, names = list(), list()\n # input sequence (t-n, ... t-1)\n for i in range(n_in, 0, -1):\n cols.append(df.shift(i))\n names += [('var%d(t-%d)' % (j+1, i)) for j in range(n_vars)]\n # forecast sequence (t, t+1, ... t+n)\n for i in range(0, n_out):\n cols.append(df.shift(-i))\n if i == 0:\n names += [('var%d(t)' % (j+1)) for j in range(n_vars)]\n else:\n names += [('var%d(t+%d)' % (j+1, i)) for j in range(n_vars)]\n # put it all together\n agg = pd.concat(cols, axis=1)\n agg.columns = names\n # drop rows with NaN values\n if dropnan:\n agg.dropna(inplace=True)\n return agg","def _fit(self, X: TimeSeriesInstances, y=None) -> np.ndarray:\n raise NotImplementedError","def series_to_supervised(data, n_in=1, delta_in=1, n_out=1,delta_out=1, dropnan=True):\n \n if (type(data) is list) or (type(data) is pd.Series):\n n_vars = 1\n else:\n n_vars =data.shape[1]\n df = pd.DataFrame(data)\n cols, names = list(), list()\n # input sequence (t-n, ... t-1)\n for i in range(n_in, 0, -delta_in):\n cols.append(df.shift(i))\n names += [('var%d(t-%d)' % (j+1, i)) for j in range(n_vars)]\n # forecast sequence (t, t+1, ... t+n)\n for i in range(0, n_out, delta_out):\n cols.append(df.shift(-i))\n if i == 0:\n names += [('var%d(t)' % (j+1)) for j in range(n_vars)]\n else:\n names += [('var%d(t+%d)' % (j+1, i)) for j in range(n_vars)]\n # put it all together\n agg = pd.concat(cols, axis=1)\n agg.columns = names\n # drop rows with NaN values\n if dropnan:\n agg.dropna(inplace=True)\n return agg","def series_to_supervised(data, n_in=1, n_out=1, dropnan=True):\n n_vars = 1 if type(data) is list else data.shape[1]\n df = pd.DataFrame(data)\n cols, names = list(), list()\n # input sequence (t-n, ... t-1)\n for i in range(n_in, 0, -1):\n cols.append(df.shift(i))\n names += [('var%d(t-%d)' % (j+1, i)) for j in range(n_vars)]\n # forecast sequence (t, t+1, ... t+n)\n for i in range(0, n_out):\n cols.append(df.shift(-i))\n if i == 0:\n names += [('var%d(t)' % (j+1)) for j in range(n_vars)]\n else:\n names += [('var%d(t+%d)' % (j+1, i)) for j in range(n_vars)]\n # put it all together\n agg = pd.concat(cols, axis=1)\n agg.columns = names\n # drop rows with NaN values\n if dropnan:\n agg.dropna(inplace=True)\n\n return agg","def to_timeseries(self, dataset_name, light=False):\n timeseries = tokio.timeseries.TimeSeries()\n timeseries.dataset_name = dataset_name\n\n try:\n dataset = self[dataset_name]\n except KeyError:\n # can't attach because dataset doesn't exist; pass this back to caller so it can init\n return None\n\n timeseries.dataset = dataset if light else dataset[:, :]\n\n # load and decode version of dataset and file schema\n timeseries.global_version = self['/'].attrs.get('version')\n timeseries.version = self.get_version(dataset_name)\n if isinstance(timeseries.version, bytes):\n timeseries.version = timeseries.version.decode()\n\n # copy columns into memory\n columns = self.get_columns(dataset_name)\n timeseries.set_columns(columns)\n\n # copy metadata into memory\n for key, value in dataset.attrs.items():\n if isinstance(value, bytes):\n timeseries.dataset_metadata[key] = value.decode()\n else:\n timeseries.dataset_metadata[key] = value\n for key, value in dataset.parent.attrs.items():\n if isinstance(value, bytes):\n timeseries.group_metadata[key] = value.decode()\n else:\n timeseries.group_metadata[key] = value\n\n timeseries.timestamp_key = get_timestamps_key(self, dataset_name)\n timeseries.timestamps = self[timeseries.timestamp_key]\n timeseries.timestamps = timeseries.timestamps if light else timeseries.timestamps[:]\n\n timeseries.timestep = timeseries.timestamps[1] - timeseries.timestamps[0]\n return timeseries","def prepare_training_data(consumption_series, lag):\r\n # scale training data\r\n scaler = MinMaxScaler(feature_range=(-1, 1))\r\n consumption_vals = scaler.fit_transform(consumption_series.values.reshape(-1, 1))\r\n \r\n # convert consumption series to lagged features\r\n consumption_lagged = create_lagged_features(consumption_vals, lag=lag)\r\n\r\n # X, y format taking the first column (original time series) to be the y\r\n X = consumption_lagged.drop('consumption', axis=1).values\r\n y = consumption_lagged.consumption.values\r\n \r\n # keras expects 3 dimensional X\r\n X = X.reshape(X.shape[0], 1, X.shape[1])\r\n \r\n return X, y, scaler","def train(self):\n df = self.df\n self.scaler = MinMaxScaler()\n self.scaler.fit(df)\n df[df.columns] = self.scaler.transform(df)\n\n\n X_train, y_train = get_X_y(df, self.n_days, self.length , self.style)\n\n self.model = lstm_model(self.length, self.n_days, self.features, self.style)\n\n #es = EarlyStopping(monitor = 'accuracy',mode = 'min' , verbose = 1, patience = 100, restore_best_weights = True)\n\n self.history = self.model.fit(np.array(X_train), np.array(y_train),\n #validation_split = 0.3,\n #callbacks = [es],\n epochs = 200,\n batch_size = 64,\n shuffle = True,\n verbose = True)","def convert_learning_data(timesteps, xaxis='timesteps'):\n if xaxis == 'timesteps':\n x_values = np.cumsum(timesteps.l.values)\n y_values = timesteps.r.values\n elif xaxis == 'episodes':\n x_values = np.arange(len(timesteps))\n y_values = timesteps.r.values\n elif xaxis == 'walltime_hrs':\n x_values = timesteps.t.values / 3600.\n y_values = timesteps.r.values\n else:\n raise NotImplementedError\n return pd.Series(y_values, index=x_values)","def series_to_supervised(data, n_in=1, n_out=1, dropnan=True):\n n_vars = 1 if type(data) is list else data.shape[1]\n df = data\n cols, names = list(), list()\n # input sequence (t-n, ... t-1)\n for i in range(n_in, 0, -1):\n cols.append(df.shift(i))\n names += [\"{}_t-{}\".format(var_name, i) for var_name in df.columns]\n\n # forecast sequence (t, t+1, ... t+n)\n for i in range(0, n_out):\n cols.append(df.shift(-i))\n if i == 0:\n names += [\"{}_t\".format(var_name) for var_name in df.columns]\n else:\n names += [\"{}_t+{}\".format(var_name, i) for var_name in df.columns]\n # put it all together\n agg = pd.concat(cols, axis=1)\n agg.columns = names\n # drop rows with NaN values\n if dropnan:\n agg.dropna(inplace=True)\n return agg","def series_to_supervised(data, n_in=1, n_out=1, dropnan=True):\n\tn_vars = 1 if type(data) is list else data.shape[1]\n\tdf = DataFrame(data)\n\tcols, names = list(), list()\n\t# input sequence (t-n, ... t-1)\n\tfor i in range(n_in, 0, -1):\n\t\tcols.append(df.shift(i))\n\t\tnames += [('var%d(t-%d)' % (j+1, i)) for j in range(n_vars)]\n\t# forecast sequence (t, t+1, ... t+n)\n\tfor i in range(0, n_out):\n\t\tcols.append(df.shift(-i))\n\t\tif i == 0:\n\t\t\tnames += [('var%d(t)' % (j+1)) for j in range(n_vars)]\n\t\telse:\n\t\t\tnames += [('var%d(t+%d)' % (j+1, i)) for j in range(n_vars)]\n\t# put it all together\n\tagg = concat(cols, axis=1)\n\tagg.columns = names\n\t# drop rows with NaN values\n\tif dropnan:\n\t\tagg.dropna(inplace=True)\n\treturn agg","def make_dataset(self, df, **kwargs):\n\t\treturn df","def __init__(self, ts_df, time_format=\"%Y-%m-%d %H:%M:%S\", freq='D',\n fill_method='ffill',\n n_test=0, n_val=0,\n hyper_params=None,\n test='adf',\n trend=None,\n seasonal=False,\n seasonal_periods=1,\n **kwds):\n self._ts_df_cols = ['ds', 'y']\n\n self.ts_df = ts_df\n self.time_format = time_format\n self.freq = freq\n self.fill_method = fill_method.lower()\n self.n_test = int(n_test)\n self.n_val = int(n_val)\n self.transform = None\n self._boxcox_lmbda = None\n\n self._mode = ''\n\n self._train_dt = None\n self._test_dt = None\n self._val_dt = None\n\n self.model_fit = None\n self.fittedvalues = None\n self.residuals = None\n self.rmse = 0\n self._gs = tsa.GridSearchClass()\n self.hyper_params = hyper_params\n self.best_model = dict()\n\n \"\"\"\n self.rmse_test = 0\n self.rmse_val = 0\n \"\"\"\n\n self.upper_whisker_res = None\n self.lower_conf_int = None\n self.upper_conf_int = None\n\n self.forecast = None\n self.residuals_forecast = None\n\n self._res_decomp = None\n self._arr_seasonal = None\n self._arr_trend = None\n self._arr_baseline = None\n\n self._test = test\n self._trend = trend\n if self._trend is not None:\n self._trend = self._trend.lower()\n self._seasonal = seasonal\n if isinstance(self._seasonal, str):\n self._seasonal = self._seasonal.lower()\n self._seasonal_periods = seasonal_periods\n\n self._uvts_cls_logger = Logger('uvts_cls')\n\n UVariateTimeSeriesClass.assertions(self)\n # work with ts_df\n self.ts_df = self.ts_df.reset_index()\n self.ts_df.columns = self._ts_df_cols\n self.ts_df['y'] = self.ts_df['y'].apply(np.float64, errors='coerce')\n self.ts_df.set_index('ds', inplace=True)\n self._uvts_cls_logger.info(\n \"Received time series data of range: \" + str(min(self.ts_df.index)) + ' - ' + str(\n max(self.ts_df.index)) + \" and shape: \" + str(self.ts_df.shape))\n\n if not isinstance(self.ts_df.index, pd.DatetimeIndex):\n self._uvts_cls_logger.warning(\"Time conversion required...\")\n self.ts_df = self.ts_df.reset_index()\n try:\n self.ts_df['ds'] = self.ts_df['ds'].apply(\n lambda x: datetime.datetime.strptime(\n str(x).translate({ord('T'): ' ', ord('Z'): None})[:-1],\n self.time_format))\n except ValueError as e:\n self._uvts_cls_logger.warning(\"Zulu time conversion not successful: {}\".format(e))\n self._uvts_cls_logger.warning(\"Will try without assuming zulu time...\")\n try:\n self.ts_df['ds'] = self.ts_df['ds'].apply(\n lambda x: datetime.datetime.strptime(str(x), self.time_format))\n except ValueError as e:\n self._uvts_cls_logger.info(\"Time conversion not successful. Check your time_format: {}\".format(e))\n sys.exit(\"STOP\")\n else:\n self._uvts_cls_logger.info(\"Time conversion successful!\")\n else:\n self._uvts_cls_logger.info(\"Time conversion successful!\")\n # set index\n self.ts_df.set_index('ds', inplace=True)\n #\n self.ts_df.index = pd.to_datetime(self.ts_df.index)\n self.ts_df.sort_index(inplace=True)\n # resample\n self.ts_resample()\n UVariateTimeSeriesClass.assertions(self, post=True)\n #\n if self.n_val > len(self.ts_df) - self.n_test:\n self.n_val = len(self.ts_df) - self.n_test\n\n if self.n_test == 0 and self.n_val == 0:\n self._mode = 'forecast'\n elif self.n_test > 0:\n self._mode = 'test'\n elif self.n_test == 0 and self.n_val > 0:\n self._mode = 'validate'\n \n # delegate just for good programming style here\n super(UVariateTimeSeriesClass, self).__init__(**kwds)","def to_supervised(sequence, n_previous, n_future):\n \n X, y = [], []\n idx, i = 0, 0\n while idx+n_future <= len(sequence)-1:\n idx = i + n_previous\n X.append(sequence[i:idx])\n y.append(sequence[idx:idx+n_future])\n i += 1\n\n return np.array(X), np.array(y).squeeze()","def data_as_timesteps(X):\n if isinstance(X, list):\n # Make tabular data from a list of examples\n X = np.vstack(X)\n # Stack data so that features are the 3rd dimension\n return np.dstack([X])","def make_dataset(data, total_window_size, input_slice,\n labels_slice, label_columns,\n column_indices, input_width, label_width):\n data = np.array(data, dtype=np.float32)\n ds = tf.keras.preprocessing.timeseries_dataset_from_array(\n data=data,\n targets=None,\n sequence_length=total_window_size,\n sequence_stride=1,\n shuffle=True,\n batch_size=32)\n\n return ds","def series_to_supervised(data, n_in=1, n_out=1, dropNaN=True):\n\tn_vars = 1 if type(data) is list else data.shape[1]\n\tdf = DataFrame(data)\n\tcols, names = list(), list()\n\n\t# input sequence (t-n ... ... t-1)\n\tfor i in range(n_in, 0, -1):\n\t\tcols.append(df.shift(i))\n\t\tnames += [('var%d(t-%d)' % (j+1, i)) for j in range(n_vars)]\n\n\t#forecast sequence (t, t+1, ... ... t+n)\n\tfor i in range(0, n_out):\n\t\tcols.append(df.shift(-i))\n\t\tif i == 0:\n\t\t\tnames += [(\"var%d(t)\" % (j+1)) for j in range(n_vars)]\n\t\telse:\n\t\t\tnames += [(\"var%d(t+%d)\" % (j+1, i)) for j in range(n_vars)]\n\n\t# put everything together\n\tagg = concat(cols, axis=1)\n\tagg.columns = names\n\n\t# drop rows with NaN values\n\tif dropNaN:\n\t\tagg.dropna(inplace=True)\n\treturn agg","def sample_series(self, series, append_frame=None):\n\n columns, values = self.get_readings(series)\n\n dataframe = DataFrame(values, columns=columns)\n dataframe = self.format_index(dataframe, self.ENERGY_DB_INDEX)\n\n # https://pandas.pydata.org/pandas-docs/stable/merging.html\n if append_frame is not None:\n # dataframe = pandas.concat([dataframe, input_frame], axis=1, join='inner', join_axes=[input_frame.index])\n dataframe = pandas.merge(append_frame, dataframe, on=['time', 'time'])\n # print(dataframe)\n\n return dataframe","def pandas_to_data_timeseries_var(df, feat, id_col = 'PTID', time='VISCODE'):\n # Order the dataframe\n df = df.sort_values(by=[id_col, time], ascending=False)\n\n #Nuumber of samples\n sample_list = np.unique(df[id_col])\n\n # Create base list\n X = []\n # Iterate over each subject and fill it\n df_feats = df.loc[:, feat]\n i = 0\n for ptid in sample_list:\n i_list = df.index[df['PTID'] == ptid]\n feats = df_feats.iloc[i_list, :].values\n X.append(feats)\n i += 1\n\n # Return numpy dataframe\n return X","def create_trainset(\n self,\n s=\"2016-01-01\",\n e=\"2018-12-31\",\n freq=\"D\",\n ) -> DateTensors:\n self.date_series = DatasetDateSeries(\n start=s, end=e, wsz=self.wsz, to_onehot=True\n ) # wsz same as W\n\n # ti window data to tensor\n ti = Tsr(self.date_series.ti_win)\n\n # tc window data to tensor\n N, W, Dtc = len(ti), self.date_series.wsz, 3\n tc = torch.randint(0, 2, (1, 1, Dtc)).repeat(N, W, 1) # shape: (N, W, Dtc)\n\n # kn window data to tensor\n kn = Tsr(self.date_series.kn_win)\n\n # create target data as `tg` (target)\n tg = self.dct_curve[self.model_type](ti).repeat(1, 1, self.Dout)\n\n ti, tc, kn, tg = self.to_device(ti, tc, kn, tg)\n trainset = DateTensors(\n ti=ti, tc=tc, kn=kn, tg=tg, device=self.device\n ) # ti/tc/kn.shape: (N, W, Dout), tg.shape = (N, 1, Dout)\n self.trainset = trainset\n return trainset","def prepare_ts(s):\n s = s.rename_axis('ds')\n out = s.rename('y').reset_index()\n return out","def to_dataset(self):\n if not self.type:\n raise aspecd.exceptions.MissingDatasetError\n dataset = aspecd.utils.object_from_class_name(self.type)\n dataset.id = self.id\n for history_record in self.history:\n history_record.replay(dataset)\n return dataset","def time_series(self, length):\n maker = r.Recomposer(self._components, self.bias)\n return maker.time_series(length)","def get_sequence_to_sequence_data(series):\n Y = np.empty((INITIAL_BATCH_SIZE,N_INPUT_STEPS,N_PREDICTIONS,N_OUTPUT_FEATURES))\n # ^ At every one of our input time steps, we will predict the following N_PREDICTIONS time steps.\n for step_ahead in range(1,N_PREDICTIONS+1):\n Y[:,:,step_ahead-1,:N_OUTPUT_FEATURES] = series[:,step_ahead:step_ahead+N_INPUT_STEPS,:N_OUTPUT_FEATURES]\n Y = Y.reshape(INITIAL_BATCH_SIZE,N_INPUT_STEPS,N_PREDICTIONS*N_OUTPUT_FEATURES)\n return Y","def _get_raw_data(self, idx=0):\n # Get the time step then make a data frame\n raise NotImplementedError('Code me up!')\n #data = self._data[???]\n return data","def samples_timesteps_features(dataframe, columns, start_date, timesteps=72, \n steps_ahead=24, window_days=100, train_percent=80.):\n \n def overlap_windows(dataset, timesteps, steps_ahead):\n \"\"\" Create overlaping window of time-series data\n \n Parameters\n ----------\n dataset: pd.DataFrame\n time-series pandas dataset\n timesteps: int\n number of time steps from the past for creating output arrays\n steps_ahead: int\n number of time steps into the future for making predictions\n \n Returns\n -------\n X, y: np.array\n input and output 3-d arrays of overlaping time windows\n \"\"\"\n X = []; y = []\n \n start = 0\n for i in range(len(dataset)):\n # Define the end of the input sequence\n in_end = start + timesteps\n out_end = in_end + steps_ahead\n # Ensure that there is enough data\n if out_end <= len(dataset):\n X.append(dataset[start:in_end, :])\n # First column holds load values\n y.append(dataset[in_end:out_end, 0])\n # Move along one time step\n start += 1\n \n # Convert list to np.array\n X = np.asarray(X)\n y = np.asarray(y)\n \n return X, y\n\n\n data = dataframe.copy()\n \n if window_days*24 > data.values.shape[0]:\n raise ValueError('Variable window_days has too large value: {}*24h = {} > {}, which is more than there is data!'.format(window_days, window_days*24, \n data.values.shape[0]))\n \n # Training period\n # ---------------\n train_percent = train_percent/100.\n st = pd.to_datetime(start_date) # start date\n et = st + dt.timedelta(days=int(train_percent*window_days)) # end date\n train = data.loc[st:et].values\n \n # Standardize and transform training data set\n mean_std_values = {}\n for i, column in enumerate(columns):\n # Calculate mean and standard deviation only\n # from the training data set values\n mu = train[:,i].mean() # axis=0\n sd = train[:,i].std()\n mean_std_values[column] = (mu, sd)\n # Standardize training data\n train[:,i] = (train[:,i] - mu)/sd\n \n # Create overlapping windows with training data\n X_train, y_train = overlap_windows(train, timesteps, steps_ahead)\n \n # Testing / Validation period\n # ---------------------------\n sv = et \n ev = sv + dt.timedelta(days=int((1-train_percent)*window_days)+1)\n test = data.loc[sv:ev].values\n \n # Transform testing/validation data set\n for i, column in enumerate(columns):\n # Use mean and standard deviation from the\n # training data set\n mu = mean_std_values[column][0]\n sd = mean_std_values[column][1]\n # Standardize test data\n test[:,i] = (test[:,i] - mu)/sd\n \n # Create overlaping windows with test data\n X_test, y_test = overlap_windows(test, timesteps, steps_ahead)\n \n return mean_std_values, X_train, y_train, X_test, y_test","def fit(self, X, y=None):\n # X is a dataframe of dates with date features\n self.X = X\n self.y = y\n return self","def run_episode(self, environment):\n dummy = pd.DataFrame({\"Date\": [\"2016-01-01\"]})\n dummy = dummy.set_index(\"Date\")\n return dummy","def fit(self, X: np.ndarray, y: np.ndarray, **kwargs) -> \"TSNaiveSeasonal\":\n if X.size != y.size:\n raise ValueError(\"'X' and 'y' size must match.\")\n\n if self.copy or not isinstance(y, np.ndarray):\n self.y = np.copy(y)\n\n else:\n self.y = y\n\n if X.size < self.ts_period:\n raise ValueError(\n \"Fitted time-series can't be smaller than its \" \"period.\"\n )\n\n self.timestamp_interval = X[1] - X[0]\n self.last_timestamp = X[-1]\n\n self._fitted = True\n\n return self","def encode(self, X, batch_size=50):\n # Check if the given time series have unequal lengths\n varying = bool(numpy.isnan(numpy.sum(X)))\n\n test = utils.Dataset(X)\n test_generator = torch.utils.data.DataLoader(\n test, batch_size=batch_size if not varying else 1\n )\n features = numpy.zeros((numpy.shape(X)[0], self.out_channels))\n self.encoder = self.encoder.eval()\n\n count = 0\n with torch.no_grad():\n if not varying:\n for batch in test_generator:\n if self.cuda:\n batch = batch.cuda(self.gpu)\n features[\n count * batch_size: (count + 1) * batch_size\n ] = self.encoder(batch).cpu()\n count += 1\n else:\n for batch in test_generator:\n if self.cuda:\n batch = batch.cuda(self.gpu)\n length = batch.size(2) - torch.sum(\n torch.isnan(batch[0, 0])\n ).data.cpu().numpy()\n features[count: count + 1] = self.encoder(\n batch[:, :, :length]\n ).cpu()\n count += 1\n\n self.encoder = self.encoder.train()\n return features","def create_forecast_dataset(self):\n pass","def __init__(self, data_frame, mins_set):\n # super(FeaturePrevDelays, self).__init__()\n self.df = data_frame.copy()\n self.mins_set = mins_set","def set_learning_data(self, df):\n\t\tdf.to_csv(self.learningDataFile)","def FE_create_time_series_features(dft, ts_column, ts_adds_in=[]):\r\n dtf = copy.deepcopy(dft)\r\n reset_index = False\r\n try:\r\n # ts_column = None assumes that that index is the time series index\r\n reset_index = False\r\n if ts_column is None:\r\n reset_index = True\r\n ts_column = dtf.index.name\r\n dtf = dtf.reset_index()\r\n\r\n ### In some extreme cases, date time vars are not processed yet and hence we must fill missing values here!\r\n null_nums = dtf[ts_column].isnull().sum()\r\n if null_nums > 0:\r\n # missing_flag = True\r\n new_missing_col = ts_column + '_Missing_Flag'\r\n dtf[new_missing_col] = 0\r\n dtf.loc[dtf[ts_column].isnull(),new_missing_col]=1\r\n dtf[ts_column].fillna(method='ffill', inplace=True)\r\n print(' adding %s column due to missing values in data' %new_missing_col)\r\n if dtf[dtf[ts_column].isnull()].shape[0] > 0:\r\n dtf[ts_column].fillna(method='bfill', inplace=True)\r\n\r\n if dtf[ts_column].dtype == float:\r\n dtf[ts_column] = dtf[ts_column].astype(int)\r\n\r\n ### if we have already found that it was a date time var, then leave it as it is. Thats good enough!\r\n items = dtf[ts_column].apply(str).apply(len).values\r\n #### In some extreme cases,\r\n if all(items[0] == item for item in items):\r\n if items[0] == 4:\r\n ### If it is just a year variable alone, you should leave it as just a year!\r\n dtf[ts_column] = pd.to_datetime(dtf[ts_column],format='%Y')\r\n ts_adds = []\r\n else:\r\n ### if it is not a year alone, then convert it into a date time variable\r\n dtf[ts_column] = pd.to_datetime(dtf[ts_column], infer_datetime_format=True)\r\n ### this is where you create the time series features #####\r\n dtf, ts_adds = _create_ts_features(df=dtf, tscol=ts_column)\r\n else:\r\n dtf[ts_column] = pd.to_datetime(dtf[ts_column], infer_datetime_format=True)\r\n ### this is where you create the time series features #####\r\n dtf, ts_adds = _create_ts_features(df=dtf, tscol=ts_column)\r\n if not ts_adds_in:\r\n ts_adds_copy = dtf[ts_adds].select_dtypes(include='number').columns.tolist()\r\n ### drop those columns where all rows are same i.e. zero variance ####\r\n for col in ts_adds_copy:\r\n if dtf[col].std() == 0:\r\n dtf.drop(col, axis=1, inplace=True)\r\n print(' dropping column due to zero variance in %s column' %col)\r\n ts_adds.remove(col)\r\n else:\r\n rem_cols = left_subtract(dtf.columns.tolist(), ts_adds_in)\r\n dtf = dtf[rem_cols+ts_adds_in]\r\n\r\n # If you had reset the index earlier, set it back before returning\r\n # to make it consistent with the dataframe that was sent as input\r\n if reset_index:\r\n dtf = dtf.set_index(ts_column)\r\n elif ts_column in dtf.columns:\r\n dtf.drop(ts_column, axis=1, inplace=True)\r\n else:\r\n pass\r\n except Exception as e:\r\n print(e)\r\n print('Error in Processing %s column for date time features. Continuing...' %ts_column)\r\n return dtf, ts_adds","def create_features(energy_data, label=None):\n energy_data['date'] = energy_data.index\n energy_data['hour'] = energy_data['Datetime'].dt.hour\n energy_data['dayofweek'] = energy_data['Datetime'].dt.dayofweek\n energy_data['month'] = energy_data['Datetime'].dt.month\n energy_data['quarter'] = energy_data['Datetime'].dt.quarter\n energy_data['year'] = energy_data['Datetime'].dt.year\n energy_data['dayofyear'] = energy_data['Datetime'].dt.dayofyear\n energy_data['dayofmonth'] = energy_data['Datetime'].dt.day\n energy_data['weekofyear'] = energy_data['Datetime'].dt.weekofyear\n energy_data['pjme_2_hrs_lag'] = energy_data['PJME_MW'].shift(2)\n energy_data['pjme_4_hrs_lag'] = energy_data['PJME_MW'].shift(4)\n energy_data['pjme_8_hrs_lag'] = energy_data['PJME_MW'].shift(8)\n energy_data['pjme_12_hrs_lag'] = energy_data['PJME_MW'].shift(12)\n energy_data['pjme_24_hrs_lag'] = energy_data['PJME_MW'].shift(24)\n energy_data['pjme_4_hrs_mean'] = energy_data['PJME_MW'].rolling(window=4).mean()\n energy_data['pjme_8_hrs_mean'] = energy_data['PJME_MW'].rolling(window=8).mean()\n energy_data['pjme_12_hrs_mean'] = energy_data['PJME_MW'].rolling(window=12).mean()\n energy_data['pjme_24_hrs_mean'] = energy_data['PJME_MW'].rolling(window=24).mean()\n energy_data['pjme_4_hrs_std'] = energy_data['PJME_MW'].rolling(window=4).std()\n energy_data['pjme_8_hrs_std'] = energy_data['PJME_MW'].rolling(window=8).std()\n energy_data['pjme_12_hrs_std'] = energy_data['PJME_MW'].rolling(window=12).std()\n energy_data['pjme_24_hrs_std'] = energy_data['PJME_MW'].rolling(window=24).std()\n energy_data['pjme_4_hrs_max'] = energy_data['PJME_MW'].rolling(window=4).max()\n energy_data['pjme_8_hrs_max'] = energy_data['PJME_MW'].rolling(window=8).max()\n energy_data['pjme_12_hrs_max'] = energy_data['PJME_MW'].rolling(window=12).max()\n energy_data['pjme_24_hrs_max'] = energy_data['PJME_MW'].rolling(window=24).max()\n energy_data['pjme_4_hrs_min'] = energy_data['PJME_MW'].rolling(window=4).min()\n energy_data['pjme_8_hrs_min'] = energy_data['PJME_MW'].rolling(window=8).min()\n energy_data['pjme_12_hrs_min'] = energy_data['PJME_MW'].rolling(window=12).min()\n energy_data['pjme_24_hrs_min'] = energy_data['PJME_MW'].rolling(window=24).min()\n\n features = energy_data[['hour', 'dayofweek', 'quarter', 'month', 'year',\n 'dayofyear', 'dayofmonth', 'weekofyear', 'pjme_2_hrs_lag', 'pjme_4_hrs_lag',\n 'pjme_8_hrs_lag', 'pjme_12_hrs_lag', 'pjme_24_hrs_lag', 'pjme_4_hrs_mean',\n \"pjme_8_hrs_mean\", \"pjme_12_hrs_mean\", \"pjme_24_hrs_mean\", \"pjme_4_hrs_std\",\n \"pjme_8_hrs_std\", \"pjme_12_hrs_std\", \"pjme_24_hrs_std\",\n \"pjme_4_hrs_max\", \"pjme_8_hrs_max\", \"pjme_12_hrs_max\", \"pjme_24_hrs_max\",\n \"pjme_4_hrs_min\", \"pjme_8_hrs_min\", \"pjme_12_hrs_min\", \"pjme_24_hrs_min\"]]\n if label:\n label = energy_data[label]\n return features, label\n return features","def train(self):\n df = self.df\n self.scaler = MinMaxScaler()\n self.scaler.fit(df)\n df[df.columns] = self.scaler.transform(df)\n\n\n X_train, y_train = get_X_y(df, self.n_days, self.length , self.style)\n X_train = np.array(X_train)\n X_train.shape = (X_train.shape[0], X_train.shape[2])\n\n self.clf = LogisticRegression().fit(X_train, y_train)\n\n #es = EarlyStopping(monitor = 'accuracy',mode = 'min' , verbose = 1, patience = 100, restore_best_weights = True)","def _build_forecast_series(self,\n points_preds: np.ndarray) -> TimeSeries:\n\n time_index = self._generate_new_dates(len(points_preds))\n\n return TimeSeries.from_times_and_values(time_index, points_preds, freq=self.training_series.freq())","def time_series_train_test_split_y(df, test_date_start):\n test_date_cutoff = datetime.strptime(test_date_start, '%Y-%m-%d')\n train_date_cutoff = test_date_cutoff - timedelta(1)\n \n y = df['AverageTemperature']\n y_train = y.loc[:train_date_cutoff]\n y_test = y.loc[test_date_cutoff:]\n \n return y, y_train, y_test","def SweepFrame(*args, **kwargs):\n underride(kwargs, dtype=float)\n return pd.DataFrame(*args, **kwargs)","def testprepare_dataset(self, stock):\n dataset = pd.DataFrame(yf.download(stock))\n dataset['Difference'] = dataset['Close'].diff() # Finds the difference in price each day\n dataset = dataset[1:] # Drops the first null value\n dataset_train = dataset[0:len(dataset)-30] # Training dataset will be the whole dataset minus the test dataset\n training_set = dataset_train.iloc[:, 6:7].values # Use the open values only\n\n # Feature Scaling\n sc = MinMaxScaler(feature_range=(0, 1)) # Scales all values so that they are in the range (0, 1)\n training_set_scaled = sc.fit_transform(training_set)\n\n # Create an input data structure with a timestep\n x_train = []\n y_train = []\n for i in range(self.timestep, len(dataset)-30):\n x_train.append(training_set_scaled[i - self.timestep:i, 0])\n y_train.append(training_set_scaled[i, 0])\n x_train, y_train = np.array(x_train), np.array(y_train)\n\n # Reshaping\n x_train = np.reshape(x_train, (x_train.shape[0], x_train.shape[1], 1))\n\n return x_train, y_train","def fit(self, X, y=None):\n if self.metric in TSLEARN_VALID_METRICS:\n self._ts_metric = self.metric\n self.metric = \"precomputed\"\n\n X = check_array(X,\n allow_nd=True,\n force_all_finite=(self.metric != \"precomputed\"))\n X = to_time_series_dataset(X)\n X = check_dims(X)\n if self.metric == \"precomputed\" and hasattr(self, '_ts_metric'):\n self._ts_fit = X\n self._d = X.shape[2]\n self._X_fit = numpy.zeros((self._ts_fit.shape[0],\n self._ts_fit.shape[0]))\n else:\n self._X_fit, self._d = to_sklearn_dataset(X, return_dim=True)\n super().fit(self._X_fit, y)\n if hasattr(self, '_ts_metric'):\n self.metric = self._ts_metric\n return self","def fit(self, X, y):\n if self.metric in TSLEARN_VALID_METRICS:\n self._ts_metric = self.metric\n self.metric = \"precomputed\"\n\n X = check_array(X,\n allow_nd=True,\n force_all_finite=(self.metric != \"precomputed\"))\n X = to_time_series_dataset(X)\n X = check_dims(X)\n if self.metric == \"precomputed\" and hasattr(self, '_ts_metric'):\n self._ts_fit = X\n self._d = X.shape[2]\n self._X_fit = numpy.zeros((self._ts_fit.shape[0],\n self._ts_fit.shape[0]))\n else:\n self._X_fit, self._d = to_sklearn_dataset(X, return_dim=True)\n super().fit(self._X_fit, y)\n if hasattr(self, '_ts_metric'):\n self.metric = self._ts_metric\n return self","def __init__(self, dataFrame):\n self.dataFrame = dataFrame","def train_test(df, response, train_size=0.75, time_series=False, scaling=None):\n\n data = df.copy()\n X = data.drop(response, 1)\n y = data[response]\n\n logging.info('X columns')\n logging.info(list(X.columns))\n logging.info('Response')\n logging.info(response)\n\n if time_series:\n trainsize = int(train_size*len(X))\n X_train = X[:trainsize].values\n X_test = X[trainsize:].values\n y_train = y[:trainsize].values\n y_test = y[trainsize:].values\n\n else:\n X_train, X_test, y_train, y_test = train_test_split(X.values,\n y.values,\n random_state=0,\n train_size=train_size)\n if scaling == 'standard':\n scaler = preprocessing.StandardScaler()\n if scaling == 'minmax':\n scaler = preprocessing.MinMaxScaler()\n if scaling == 'maxabs':\n scaler = preprocessing.MaxAbsScaler()\n if scaling == 'robust':\n scaler = preprocessing.RobustScaler()\n if scaling == 'quantile':\n scaler = preprocessing.QuantileTransformer()\n\n if scaling != None:\n scaler.fit(X_train)\n X_train = scaler.transform(X_train)\n X_test = scaler.transform(X_test)\n\n return X_train, X_test, y_train, y_test","def train(self, dataset): \n self.random_forest.fit(dataset[:,:-1], dataset[:,-1])","def to_timeseries(benchmark_data, x_label='Episode', y_label='Average Episode Reward',\n target=rewards_by_episode, cut_x=1e12, smooth=0):\n data_experiments, data_times, data_values = [], [], []\n\n for experiment_id, experiment_data in enumerate(benchmark_data):\n extended_results = experiment_data.extended_results()\n\n if smooth > 0:\n extended_results['rewards'] = np.array(pd.Series(extended_results['rewards']).ewm(span=smooth).mean())\n\n x, y = target(cut_x=cut_x, **extended_results)\n\n data_times.extend(x)\n data_values.extend(y)\n data_experiments.extend([experiment_id] * len(x))\n\n return pd.DataFrame({'experiment': data_experiments, x_label: data_times, y_label: data_values})","def _create_time_series_data(\n self, run_name: str, tag_name: str, metadata: tf.compat.v1.SummaryMetadata\n ) -> tensorboard_data.TimeSeriesData:\n time_series_resource_name = (\n self._one_platform_resource_manager.get_time_series_resource_name(\n run_name,\n tag_name,\n lambda: tensorboard_time_series.TensorboardTimeSeries(\n display_name=tag_name,\n value_type=self._value_type,\n plugin_name=metadata.plugin_data.plugin_name,\n plugin_data=metadata.plugin_data.content,\n ),\n )\n )\n\n time_series_data_proto = tensorboard_data.TimeSeriesData(\n tensorboard_time_series_id=time_series_resource_name.split(\"/\")[-1],\n value_type=self._value_type,\n )\n\n self._byte_budget_manager.add_time_series(time_series_data_proto)\n self._run_to_tag_to_time_series_data[run_name][\n tag_name\n ] = time_series_data_proto\n return time_series_data_proto","def train_test_dataset(self, train_rate=0.8):\n point_date = int(len(self.y) * train_rate)\n y_to_train = self.y[:point_date]\n y_to_val = self.y[point_date:]\n predict_date = len(self.y) - len(y_to_train) # the number of data points for the test set\n date_val = self.y.index[point_date]\n return y_to_train, y_to_val, predict_date, date_val","def to_drawdown_series(self):\n self.tsdf = drawdown_series(self.tsdf)\n self.tsdf.columns = pd.MultiIndex.from_product([[self.label], ['Drawdowns']])\n self.tsdf.index = pd.to_datetime(self.tsdf.index)\n return self","def data():\n\n run_type = 'standardised'\n sr = 48000\n train_perc = 0.9\n\n if sr == 48000:\n time_dimension = 282\n if sr == 44100:\n time_dimension = 259\n\n x_train, y_train, x_test, y_test = essential.compile_dataset(run_type, sr)\n\n # reshape for CNN input\n x_train = np.array([x.reshape((128, time_dimension, 1)) for x in x_train])\n x_test = np.array([x.reshape((128, time_dimension, 1)) for x in x_test])\n\n # encoded \n encoder = LabelEncoder()\n encoder.fit(y_train)\n encoder.fit(y_test)\n y_train = encoder.transform(y_train)\n y_test = encoder.transform(y_test)\n\n return x_train, y_train, x_test, y_test","def impulse_data(sample_rate=512,psd_segment_length=60):\n epoch = 1153742417.0\n ts_data = numpy.zeros(sample_rate * psd_segment_length)\n ts_data = types.TimeSeries(ts_data, delta_t=1.0/sample_rate, epoch=epoch)\n return ts_data","def generate_ensemble_time_series(dsys, n_traj, len_traj):\n\n for i in range(n_traj):\n # Training initial condition.\n x0_train = normal(loc=0.0, scale=1.0, size=(dsys.A.shape[1]))\n\n # Run simulation to generate dataset.\n t, _, x = dlsim(dsys, np.zeros((len_traj, dsys.inputs)), x0=x0_train)\n\n # Store the data.\n if i == 0:\n X, Y = x.T[:, :-1], x.T[:, 1:]\n else:\n X, Y = np.c_[X, x.T[:, :-1]], np.c_[Y, x.T[:, 1:]]\n return X, Y","def split_dataset(valid_datetime):\n\tprint(\"all_frames: \", valid_datetime.shape[0])\n\tprint(\"valid_frames: \", np.sum(valid_datetime[:,1]))\n\tprint(\"no_valid_frames: \", np.sum(1-valid_datetime[:,1]))\n\n\tvalid_datetime_bool = (valid_datetime[:,1] == 1)\n\tvalid_datetime_idx = np.where(valid_datetime_bool)[0]\n\tvalid_datetime = valid_datetime[valid_datetime_bool][:,0]\n\n\ttrain_set = []\n\tvalid_set = []\n\ttest_set = []\n\t\n\tdate = set()\n\tfor dt in valid_datetime.astype(str):\n\t\tdate.add(dt[:8])\n\tdate = list(date)\n\tdate.sort()\n\n\tfor i in date:\n\t\tflag = np.random.randint(0,14)\n\t\tif flag < 11:\n\t\t\ttrain_set.append(i)\n\t\telif flag == 11:\n\t\t\tvalid_set.append(i)\n\t\telse:\n\t\t\ttest_set.append(i)\n\n\tprint(\"valid days: \", len(date))\n\tprint(\"train set days: \", len(train_set))\n\tprint(\"valid set days: \", len(valid_set))\n\tprint(\"test set days: \", len(test_set))\n\n\ttrain_set_data = []\n\tvalid_set_data = []\n\ttest_set_data = []\n\tfor dt,idx in zip(valid_datetime.astype(str), valid_datetime_idx):\n\t\tt_date = dt[:8]\n\t\tif t_date in train_set:\n\t\t\ttrain_set_data.append([dt,idx])\n\t\telif t_date in valid_set:\n\t\t\tvalid_set_data.append([dt,idx])\n\t\telse:\n\t\t\ttest_set_data.append([dt,idx])\n\n\tprint(\"train set samples: \", len(train_set_data))\n\tprint(\"valid set samples: \", len(valid_set_data))\n\tprint(\"test set samples: \", len(test_set_data))\t\n\n\t#assert(np.sum(valid_datetime[:,1]) == valid_datetime.shape[0])\n\treturn [train_set_data, valid_set_data, test_set_data]","def __copy__(self):\n ts = TimeSeries.from_twodim_list(self._timeseriesData)\n\n ts._normalizationLevel = self._normalizationLevel\n ts._normalized = self._normalized\n ts._sorted = self._sorted\n ts._predefinedSorted = self._predefinedSorted\n ts._predefinedNormalized = self._predefinedNormalized\n ts._timestampFormat = self._timestampFormat\n\n return ts","def data_longley():\n y, X = load_longley()\n y_train, y_test, X_train, X_test = temporal_train_test_split(y, X)\n return y_train, y_test, X_train, X_test","def _forecast_train(stan_fit, p):\n \n train_n = stan_fit.data['N']\n t = np.arange(train_n) / train_n\n train_changepoints = stan_fit.data['s']\n \n A = (t[:, None] > train_changepoints) * 1. # t x s\n \n X = fourier_series(t, p=p, fourier_order=stan_fit.data['n_fourier']) \n \n samples = stan_fit.extract(permuted=True)\n \n samples_n = len(samples['lp__'])\n \n y_hat = np.zeros(shape=(samples_n, len(t)))\n mu_trend = np.zeros(shape=(samples_n, len(t)))\n mu_s = np.zeros(shape=(samples_n, len(t)))\n \n for iteration in range(samples_n):\n \n k = samples['k'][iteration]\n m = samples['m'][iteration]\n deltas = samples['delta'][iteration]\n beta = samples['beta'][iteration]\n sigma = samples['sigma'][iteration]\n \n gamma = -train_changepoints * deltas;\n mu_trend[iteration,:] = k + np.matmul(A, deltas) * t + (m + np.matmul(A, gamma))\n mu_s[iteration,:] = np.matmul(X, beta)\n \n mu = mu_trend[iteration] + mu_s[iteration]\n \n y_hat[iteration,:] = np.random.normal(mu, sigma)\n \n return y_hat, mu_trend, mu_s, samples, samples_n, train_n, train_changepoints","def prep_data(df):\n y = df.target\n X = df.drop([\"target\"], axis=1)\n X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2)\n return X_train, X_test, y_train, y_test","def create_dataset(dataset,time_step=1):\n dataX,dataY=[],[]\n for i in range(len(dataset)-time_step):\n a=dataset[i:i+time_step]\n dataX.append(a)\n dataY.append(dataset[i+time_step])\n return np.asarray(dataX),np.asarray(dataY)","def set_training_data(self):\n # Optional training data period\n # TODO: add training data period feature to training data query\n if not self.training_period == None:\n training_period_date = (datetime.datetime.utcnow() - timedelta(minutes=self.training_period)).strftime(\"%Y-%m-%d\")\n print(f\"Training data start date: {training_period_date}\")\n # Extract queried data from Athena\n #athena = athena_connect.Athena()\n #features_df = athena.pandas_read_athena(self.training_data_sql)\n with open('feature_sql.txt', 'w') as f:\n print(self.training_data_sql, file=f) \n features_df = pd.read_sql(self.training_data_sql, self.logic_db_engine())\n features_df.fillna(0, inplace=True)\n print(features_df.shape)\n features_df = features_df[max(self.feature_minutes_list):]\n print(features_df.shape)\n # Remove infinity string\n features_df.replace({'Infinity': 0}, inplace=True)\n # Convert all object fields to numeric except date fields\n object_col_list = features_df.columns[features_df.dtypes.eq('object')]\n object_col_list = [col for col in object_col_list if 'trade_date' not in col]\n features_df[object_col_list] = features_df[object_col_list].apply(pd.to_numeric, errors='coerce')\n self.training_df = features_df","def as_dframe(cls, dataset):\n return dataset.dframe()","def build_toy_dataset(N):\n y_data = np.random.uniform(-10.5, 10.5, N)\n r_data = np.random.normal(size=N) # random noise\n x_data = np.sin(0.75 * y_data) * 7.0 + y_data * 0.5 + r_data * 1.0\n x_data = x_data.reshape((N, 1))\n return train_test_split(x_data, y_data, random_state=42)","def to_work_series(self, data: pd.Series) -> pd.Series:\n ...","def features_dataset(features_pickle_path, train=True):\n if train:\n start = 0\n stop = 48000\n else:\n start = 48000\n stop = 50000\n\n features = pd.read_hdf(features_pickle_path, start=start, stop=stop).values\n\n labels = torch.zeros(features.shape[0]).float()\n features = torch.from_numpy(features).float()\n\n return torch.utils.data.TensorDataset(features, labels)","def calculate_timebase_features(self, X: pd.DataFrame) -> pd.DataFrame:\n X = self._add_lagged_features(X, [1, 3, 7, 14, 21, 365])\n\n X = self._add_rolling(X, 'mean', [5, 50])\n X = self._add_rolling(X, 'min', [5, 50])\n X = self._add_rolling(X, 'max', [5, 50])\n\n return X","def trainData(self, X, y, NeuralNet, epochs):","def to_dataframe(self, include_metadata: bool = True) -> pd.DataFrame:\n # Get all our data first with async\n # Note that all our pandas work will tax CPU so we wouldn't expect any\n # performance gains from doing the data parsing as a callback\n records = self.to_dict()\n data = []\n for series in records:\n df = pd.DataFrame(series.pop(\"data\"), columns=[\"period\", \"value\"])\n if include_metadata:\n df = df.assign(**series)\n data.append(df)\n return pd.concat(data, ignore_index=True)","def transform_train_data(df):\n return df.rdd.map(\n lambda x: (\n Vectors.dense([x.amount, x.split, x.maintain4, x.maintain12]),\n x.intime\n )\n ).toDF([\"features\", \"label\"])","def expand_dataset(X, bst, groups, year):\n y_pred = predict(X, bst, groups)\n X[config.PREDICTED_INDICATOR.replace(\".\",\"_\")] = y_pred\n return X","def makeTimeSeriesData(self,cluster,server,items):\n start = 0\n end = len(items)\n step = 1\n values = []\n for key,value in items.iteritems():\n values.append(value)\n \n name = cluster+\",\"+server+\",alert\"\n series = TimeSeries(name, start, end, step, values)\n #for key,value in items:\n return series","def datetime_features(\n s: pd.Series, result: Optional[pd.DataFrame] = None\n) -> pd.DataFrame:\n result = date_features(s, result)\n return time_features(s, result)","def _prepare(self, df, impute_only, streaming=False, **kwargs):\n\n import pandas as pd\n\n min_ts_length = self.min_ts_length\n max_ts_length = self.max_ts_length\n target_metric = 'raw'\n imputed_metric = 'interpolated'\n\n # if input dimension/metric combination timeseries is null, skip modeling\n if len(df) == 0:\n raise ValueError(\"No model ran because dimension/metric combination is null\")\n if not streaming and len(df) < min_ts_length:\n raise ValueError(\"Current time series length of {}{} is less tha minimum requires \"\n \"length {}{} for training\".format(len(df), self.freq, min_ts_length, self.freq))\n\n if isinstance(df, list):\n df = (pd.DataFrame(df, columns=[self._target_index, self._target_metric]).set_index(self._target_index))\n\n if not self.freq:\n if streaming and len(df) > 1:\n freq = (pd.DatetimeIndex(df.index[1:]) - pd.DatetimeIndex(df.index[:-1])).value_counts().index[0]\n else:\n freq = self.freq\n\n freq_delta = pd.Timedelta(\"1\" + freq) if not any(char.isdigit() for char in str(freq)) else pd.Timedelta(freq)\n df.index = pd.DatetimeIndex(df.index)\n df = self.add_missing_index(df=df, freq=freq_delta)\n\n if not streaming:\n df = df.iloc[-min(max_ts_length, len(df)):]\n df = self._truncate_by_data_gaps(df=df, target_metric=target_metric)\n\n if not streaming and len(df) < min_ts_length:\n raise ValueError(\"The training data observed continuous missing data near the end. Require more stable \"\n \"data to train\")\n\n if streaming and 'impute_zero' in kwargs and kwargs['impute_zero']:\n df = df.fillna(0)\n else:\n df = self._kalman_smoothing_imputation(df=df, target_metric=target_metric, imputed_metric=imputed_metric,\n impute_only=impute_only)\n\n if streaming:\n return df, freq\n else:\n return df","def create_data_frame(valid_size=0.2):\n # train data and valid data\n train_data = read_csv('data/train.csv')\n train_label = train_data['Survived']\n train_data.drop(axis=1, labels='Survived', inplace=True)\n train_data, valid_data, train_label, valid_label = train_test_split(\n train_data, train_label, test_size=valid_size\n )\n # test data\n test_data = read_csv('data/test.csv')\n return train_data, train_label, valid_data, valid_label, test_data","def create_dataset(n_series=51, samples_per_series=1001, save_to_disk=True):\n delta_t = 0.01\n x0_in = np.random.random((n_series//2))\n x0_out = np.random.random((n_series-n_series//2)) + np.pi - 1\n x0 = np.concatenate([x0_in, x0_out])\n msd = MassSpringDamper(x=x0, x_dt=tf.zeros_like(x0)) # compute all trajectories at once\n with tf.device('/gpu:0'):\n x_train = msd.step(dt=(samples_per_series-1)*delta_t, n_steps=samples_per_series)\n y_train = np.array(msd.call(0., x_train))\n x_train = np.transpose(x_train, [1, 0, 2])\n y_train = np.transpose(y_train, [1, 0, 2])\n\n x_val = []\n y_val = []\n msd = MassSpringDamper(x=5., x_dt=0.5)\n with tf.device('/gpu:0'):\n x_val.append(msd.step(dt=(samples_per_series-1)*delta_t, n_steps=samples_per_series))\n y_val.append(np.array(msd.call(0., x_val[-1])))\n msd = MassSpringDamper(x=1.5, x_dt=0.5)\n with tf.device('/gpu:0'):\n x_val.append(msd.step(dt=(samples_per_series-1)*delta_t, n_steps=samples_per_series))\n y_val.append(np.array(msd.call(0., x_val[-1])))\n x_val = np.stack(x_val)\n y_val = np.stack(y_val)\n\n if save_to_disk:\n np.save('experiments/datasets/mass_spring_damper_x_train.npy', x_train)\n np.save('experiments/datasets/mass_spring_damper_y_train.npy', y_train)\n np.save('experiments/datasets/mass_spring_damper_x_val.npy', x_val)\n np.save('experiments/datasets/mass_spring_damper_y_val.npy', y_val)\n return x_train, y_train, x_val, y_val","def build_timeseries(mat, y_col_index):\n # total number of time-series samples would be len(mat) - TIME_STEPS\n dim_0 = mat.shape[0] - TIME_STEPS #determine number of inputs that have an output because you'll not have data timesteps forward once your index goes past len(mat.shape[0]) - TIME_STEPS\n dim_1 = mat.shape[1] #number of columns in dataset\n x = np.zeros((dim_0, TIME_STEPS, dim_1)) #create an array with dimensions of viable inputs, the time step, the cols in the dataset\n y = np.zeros((dim_0,)) #create an array length of viable inputs\n\n for i in range(dim_0): #for each viable input\n x[i] = mat[i:TIME_STEPS+i] #set the input array to a set of data the length of a timestep\n y[i] = mat[TIME_STEPS+i, y_col_index] #set output array that correalates with inout array to that data located in the y_col_index of the data\n #print(\"length of time-series i/o\",x.shape,y.shape)\n return x, y","def TimeSeries(*args, **kwargs):\n if args or kwargs:\n underride(kwargs, dtype=float)\n series = pd.Series(*args, **kwargs)\n else:\n series = pd.Series([], dtype=float)\n\n series.index.name = 'Time'\n if 'name' not in kwargs:\n series.name = 'Quantity'\n return series","def transform(self, y=None):\n\n df = self.X.copy()\n num_days = (\n int(\n np.timedelta64((max(df[\"date\"]) - min(df[\"date\"])), \"D\")\n / np.timedelta64(1, \"D\")\n )\n + 1\n )\n start = pd.to_datetime(min(df[\"date\"]))\n dates = [(start + np.timedelta64(i, \"D\")) for i in range(num_days)]\n\n seq = pd.DataFrame({\"dt_time\": dates, \"day_seq\": np.arange(num_days)})\n seq[\"date\"] = seq[\"dt_time\"].dt.date\n\n df1 = df.join(seq.set_index(\"date\"), on=\"date\")\n\n df1[\"year\"] = df1[\"dt_time\"].dt.year\n df1[\"month\"] = df1[\"dt_time\"].dt.month\n df1[\"day\"] = df1[\"dt_time\"].dt.day\n df1[\"day_of_week\"] = df1[\"dt_time\"].dt.weekday\n df1[\"month_day\"] = df1[\"dt_time\"].dt.strftime(\"%m/%d\")\n df1[\"month_weekday\"] = df1[\"dt_time\"].dt.strftime(\"%b_%a\")\n df1[\"month\"] = df1[\"dt_time\"].dt.strftime(\"%m/%d\")\n return df1","def glass_pandas(self):\n # pandas.set_option('display.width', 120)\n # TODO timeit (git_implementation) vs (my_implementation)\n # * df = pd.DataFrame(json.loads(r.text))\n # * df = df.set_index('t')\n # * df.index = pd.to_datetime(df.index, unit='s')\n # * df = df.sort_index()\n # * s = df.v\n # * s.name = '_'.join(url.split('/')[-2:])\n # * return s\n # for elem in self.loaded:\n # _metric, _data = elem[1]['_metrics'], elem[1]['_data']\n # try:\n # frame_keys = ['t'] + list(_data[0]['o'].keys())\n # framed = pandas.DataFrame(\n # data=[{k: (_data[iters]['t'] if k in 't' else _data[iters]['o'][k])\n # for k in frame_keys} for iters in range(len(_data))],\n # columns=frame_keys)\n # except KeyError:\n # framed = pandas.DataFrame(_data)\n # framed.set_index('t', inplace=True)\n # framed.index = pandas.to_datetime(\n # framed.index.to_flat_index(), unit='s', infer_datetime_format=True)\n # framed.sort_index(inplace=True)\n # framed.name = _metric\n # print(framed.name)\n # print(framed)","def load_dataset(as_wide=False, label_cols='data_id'):\n df = pd.read_feather(FLOWER_PATH)\n # BUG in dataset with duplicate values\n df = df.drop_duplicates()\n df.loc[:, 'reflectance'] = df['reflectance'].fillna(0)\n df.loc[df['reflectance'] < 0, 'reflectance'] = 0\n\n if as_wide:\n return pd.pivot_table(df, 'reflectance', 'wavelengths', label_cols).fillna(0)\n\n return df","def initialize_feature_series(add_data):\n series = add_data.copy()\n for key in FEATURES_DURATION:\n series[key] = 0.0\n return series","def _timeseries_to_dataframe_scenarios(timeseries, name):\n width = timeseries.total_values_per_item()\n # Column headers\n columns = [\n [name] * width,\n [timeseries.instance_or_contract_dataframe_column_header()] * width,\n timeseries.scenario_names\n ]\n # Convert a time series of (date, scenarios[])\n df = pd.DataFrame.from_records(\n (v.scenarios for v in timeseries.data),\n columns=columns,\n index=[v.date for v in timeseries],\n )\n df.index.name = 'date'\n return df","def slice_timeseries(n_slices,dataset):\n\n n,l=np.shape(dataset)\n\n X = np.reshape(dataset,(n*n_slices,l//n_slices))\n\n print('sliced data shape (nr. of slices, slice length):',np.shape(X))\n print('#####################################')\n \n return X","def _timeseries_to_dataframe_mean_and_scenarios(timeseries, name):\n width = timeseries.total_values_per_item()\n # Column headers\n columns = [\n [name] * width,\n [timeseries.instance_or_contract_dataframe_column_header()] * width,\n [''] + timeseries.scenario_names\n ]\n # Convert a time series of (date, scenarios[])\n df = pd.DataFrame.from_records(\n ((v.value, *v.scenarios) for v in timeseries.data),\n columns=columns,\n index=[v.date for v in timeseries],\n )\n df.index.name = 'date'\n return df","def fit(self, X, y):\n if self.metric in TSLEARN_VALID_METRICS:\n self._ts_metric = self.metric\n self.metric = \"precomputed\"\n\n X = check_array(X,\n allow_nd=True,\n force_all_finite=(self.metric != \"precomputed\"))\n X = to_time_series_dataset(X)\n X = check_dims(X)\n if self.metric == \"precomputed\" and hasattr(self, '_ts_metric'):\n self._ts_fit = X\n if self._ts_metric == 'sax':\n if self.metric_params is not None:\n self._ts_fit = self._sax_preprocess(X,\n **self.metric_params)\n else:\n self._ts_fit = self._sax_preprocess(X)\n\n self._d = X.shape[2]\n self._X_fit = numpy.zeros((self._ts_fit.shape[0],\n self._ts_fit.shape[0]))\n else:\n self._X_fit, self._d = to_sklearn_dataset(X, return_dim=True)\n super().fit(self._X_fit, y)\n if hasattr(self, '_ts_metric'):\n self.metric = self._ts_metric\n return self"],"string":"[\n \"def timeseries_dataframe(self):\\n return\",\n \"def get_dataset_from_series(dataset_pproc, n_hours):\\n # obtenemos los valores como una matriz\\n values = dataset_pproc.values\\n # ensure all data is float\\n values = values.astype(\\\"float32\\\")\\n # normalize features\\n scaler = MinMaxScaler(feature_range=(0, 1))\\n scaled = scaler.fit_transform(values)\\n scaled = pd.DataFrame(\\n scaled, columns=dataset_pproc.columns\\n ) # frame as supervised learning\\n\\n reframed = series_to_supervised(scaled, n_hours, 1)\\n return reframed, scaler\",\n \"def ts_fit(series: TimeSeries) -> TimeSeries:\\n pass\",\n \"def dataTimeSeries(timesteps,df,predictors,target,dropnan,out=2,dropVars=True): \\r\\n \\r\\n series = series_to_supervised(df[predictors+[target]].copy(),timesteps,out,dropnan=dropnan)\\r\\n \\r\\n if dropnan==False:\\r\\n series.replace(pd.np.nan,0,inplace=True)\\r\\n \\r\\n # Dropping other variables:\\r\\n if dropVars:\\r\\n index = list(np.arange(series.shape[1]-2,\\r\\n series.shape[1]-len(predictors)-2,\\r\\n -1))\\r\\n \\r\\n labels = [item for idx,item in enumerate(series.columns) \\r\\n if idx in index]\\r\\n \\r\\n #print(\\\"Eliminando variáveis: {}\\\".format(labels))\\r\\n series.drop(labels,axis=1,inplace=True) \\r\\n \\r\\n return series\",\n \"def to_timeseries(self) -> TimeseriesDataset:\\n return TimeseriesDataset(self.data, provenance=self.provenance)\",\n \"def set_training_data(self, *, inputs: Inputs, outputs: Outputs) -> None:\\n\\n # save copy of train data so we don't predict for each row in training\\n self._output_columns = outputs.columns\\n self._train_data = inputs.copy()\\n\\n # combine inputs and outputs for internal TimeSeries object\\n self._ts_frame = inputs.append_columns(outputs)\\n\\n # Parse cols needed for ts object\\n # TODO should only find cols to drop once!\\n self._get_cols(self._ts_frame.metadata)\\n\\n # Mark time difference (between min and min + 1 timestamp)\\n if self._grouping_column is None:\\n self._max_train = max(self._ts_frame.iloc[:, self._timestamp_column])\\n self._train_diff = int(\\n np.diff(np.sort(self._ts_frame.iloc[:, self._timestamp_column]))[0]\\n )\\n else:\\n g_col, t_col = (\\n self._ts_frame.columns[self._grouping_column],\\n self._ts_frame.columns[self._timestamp_column],\\n )\\n self._max_train = self._ts_frame.groupby(g_col)[t_col].agg(\\\"max\\\")\\n # making simplifying assumption that difference is the same across all groups\\n self._train_diff = int(\\n self._ts_frame.groupby(g_col)[t_col]\\n .apply(lambda x: np.diff(np.sort(x))[0])\\n .iloc[0]\\n )\\n\\n # assumption is that integer timestamps are days (treated this way by DeepAR objects)\\n timestamp_semantic_types = self._ts_frame.metadata.query_column_field(\\n self._timestamp_column, \\\"semantic_types\\\"\\n )\\n if \\\"http://schema.org/Integer\\\" in timestamp_semantic_types:\\n self._integer_timestamps = True\\n else:\\n self._integer_timestamps = False\\n\\n # drop cols if multiple grouping columns\\n if len(self._drop_cols) > 0:\\n self._ts_frame = self._ts_frame.remove_columns(self._drop_cols)\\n self._update_indices()\\n\\n # Create TimeSeries dataset object and learner\\n self._create_data_object_and_learner(self.hyperparams[\\\"val_split\\\"])\\n\\n # mark that new training data has been set\\n self._new_train_data = True\",\n \"def series_to_supervised(data, n_in=1, n_out=1, dropnan=True, stride=None, dates=False, leaks=True):\\n df = pd.DataFrame(data)\\n \\n time = None\\n if 'date' in df.columns:\\n time = 'date'\\n elif 'time' in df.columns:\\n time = 'time'\\n if time != None:\\n df = df.drop([time], axis=1)\\n \\n if 'leak' in df.columns:\\n df = df.drop(['leak'], axis=1) \\n n_vars = df.shape[1]\\n times_column = list()\\n if dates and time != None:\\n times_column = data[time]\\n del data\\n \\n cols, names, pivots = list(), list(), list()\\n \\n # input sequence (t-n, ... t-1)\\n for i in range(n_in, 0, -1):\\n cols.append(df.shift(i))\\n names += [('var%d(t-%d)' % (j+1, i)) for j in range(n_vars)]\\n\\t# forecast sequence (t, t+1, ... t+n)\\n for i in range(0, n_out):\\n cols.append(df.shift(-i))\\n if i == 0:\\n names += [('var%d(t)' % (j+1)) for j in range(n_vars)]\\n else:\\n names += [('var%d(t+%d)' % (j+1, i)) for j in range(n_vars)]\\n\\t# put it all together\\n agg = pd.concat(cols, axis=1)\\n \\n agg.columns = names\\n\\n #stride - delete windows\\n if stride != None:\\n indexes_to_drop = list()\\n for i in range(stride, agg.shape[0], stride):\\n print(\\\"index\\\", i)\\n pivots += [i]\\n \\n onset = 0\\n offset = pivots[0]\\n for i in range(0, len(pivots)):\\n print(\\\"onset\\\", onset)\\n print(\\\"offset\\\", offset)\\n to_drop = [ x for x in range(onset,offset)]\\n indexes_to_drop += to_drop\\n try:\\n onset = pivots[i] + 1\\n offset = pivots[i+1]\\n \\n except IndexError:\\n onset = pivots[i] + 1\\n offset = agg.shape[0]\\n to_drop = [ x for x in range(onset,offset)]\\n indexes_to_drop += to_drop\\n \\n \\n \\n print(\\\"indexes_to_drop\\\", indexes_to_drop)\\n \\n agg.drop(df.index[indexes_to_drop], inplace=True)\\n \\\"\\\"\\\"\\n if dates and time!=None:\\n agg[time] = times_column\\n \\\"\\\"\\\" \\n # drop rows with NaN values \\n if dropnan:\\n agg.dropna(inplace=True)\\n \\n\\n return agg\",\n \"def fake_data(sample_rate=512,psd_segment_length=60,nsegs=16):\\n epoch = 1153742417.0\\n ts_data = numpy.random.normal(0,1,sample_rate*psd_segment_length*nsegs)\\n ts_data = types.TimeSeries(ts_data,delta_t=1.0/sample_rate,epoch=epoch)\\n return ts_data\",\n \"def TimeFrame(*args, **kwargs):\\n underride(kwargs, dtype=float)\\n return pd.DataFrame(*args, **kwargs)\",\n \"def fit_timeseries(xdates, ydata):\\n\\n pass\",\n \"def set_time_series(data):\\n t = pandas.Series(\\n (data['TIME_StartTime'] -\\n data['TIME_StartTime'].values[0]) / 1.0e6, name='t, sec')\\n data = pandas.DataFrame(\\n data.values,\\n columns=data.columns, index=t)\\n return data\",\n \"def __init__(self, pandas_dataframe, dates_column, target_column, regressors=None, train_test_split=0.66, seed=7,\\n look_back=1, look_forward=1, interval=0):\\n data = pd.DataFrame(index=pandas_dataframe[dates_column].values, data=pandas_dataframe[target_column].values)\\n # Calculate the training set size\\n train_size = int(len(data)*train_test_split)\\n # Scale the data pre-train/test split\\n scaler = MinMaxScaler(feature_range=(0, 1))\\n self.scaler = scaler\\n data = scaler.fit_transform(data)\\n # Get the time series as stationary (for the given interval, if 0 don't make it a series of 0)\\n if interval > 0:\\n data = difference(data, interval)\\n # Map the series to a supervised problem (values for days 1-n with regressors for these days to predict days\\n # n + 1 ... n + k\\n x, y = timeseries_to_supervised(data, look_back=look_back, look_forward=look_forward)\\n # Split train and test\\n self.x_train, self.y_train = x[:train_size], y[:train_size]\\n self.x_test, self.y_test = x[train_size:], y[train_size:]\\n # Use regressors if required\\n if regressors is not None:\\n self.x_train, self.x_test = add_regressors(self.x_train, self.x_test, regressors, pandas_dataframe,\\n dates_column, look_forward, look_back)\\n # Set last attributes\\n self.seed = seed\\n self.look_back = look_back\\n self.look_forward = look_forward\\n self.regressors = regressors\",\n \"def pandas_to_data_timeseries(df, feat, n_timesteps = 5, id_col = 'PTID', time='VISCODE'):\\n # Order the dataframe\\n df = df.sort_values(by=[id_col, time], ascending=False)\\n\\n #Nuumber of samples\\n sample_list = np.unique(df[id_col])\\n\\n # Create base numpy structure\\n X = np.zeros((len(sample_list), n_timesteps, len(feat)))\\n # Iterate over each subject and fill it\\n df_feats = df.loc[:, feat]\\n i = 0\\n for ptid in sample_list:\\n i_list = df.index[df['PTID'] == ptid]\\n feats = df_feats.iloc[i_list, :].values\\n X[i, :, :] = feats\\n i += 1\\n\\n # Return numpy dataframe\\n return X\",\n \"def fit(self, series: TimeSeries) -> None:\\n series._assert_univariate()\\n self.training_series = series\\n self.target_series = series\\n super().fit()\",\n \"def prepare_dataset(self, stock):\\n dataset = pd.DataFrame(yf.download(stock))\\n dataset_train = dataset[0:len(dataset)-30] # Training dataset will be the whole dataset minus the test dataset\\n training_set = dataset_train.iloc[:, 1:2].values # Use the open values only\\n\\n # Feature Scaling\\n sc = MinMaxScaler(feature_range=(0, 1)) # Scales all values so that they are in the range (0, 1)\\n training_set_scaled = sc.fit_transform(training_set)\\n\\n # Create an input data structure with a timestep\\n x_train = []\\n y_train = []\\n for i in range(self.timestep, len(dataset)-30):\\n x_train.append(training_set_scaled[i - self.timestep:i, 0])\\n y_train.append(training_set_scaled[i, 0])\\n x_train, y_train = np.array(x_train), np.array(y_train)\\n\\n # Reshaping\\n x_train = np.reshape(x_train, (x_train.shape[0], x_train.shape[1], 1))\\n\\n return x_train, y_train\",\n \"def model():\\n return TimeSeriesMultiReg()\",\n \"def series_to_supervised(data, n_in=1, delta_in=1, n_out=1,delta_out=1, dropnan=True):\\n\\n if (type(data) is list) or (type(data) is pd.Series):\\n n_vars = 1\\n else:\\n n_vars =data.shape[1]\\n df = pd.DataFrame(data)\\n cols, names = list(), list()\\n # input sequence (t-n, ... t-1)\\n for i in range(n_in, 0, -delta_in):\\n cols.append(df.shift(i))\\n names += [('var%d(t-%d)' % (j+1, i)) for j in range(n_vars)]\\n # forecast sequence (t, t+1, ... t+n)\\n for i in range(0, n_out, delta_out):\\n cols.append(df.shift(-i))\\n if i == 0:\\n names += [('var%d(t)' % (j+1)) for j in range(n_vars)]\\n else:\\n names += [('var%d(t+%d)' % (j+1, i)) for j in range(n_vars)]\\n # put it all together\\n agg = pd.concat(cols, axis=1)\\n agg.columns = names\\n # drop rows with NaN values\\n if dropnan:\\n return agg.dropna()\\n else:\\n return agg\",\n \"def create_train_time_series_dataset(self, max_encoder_length=50, max_prediction_length=25,\\n batch_size=128, num_workers=0):\\n # max_encoder_length = n*max_prediction_length n E [2,7]\\n\\n training_cutoff = self.data['time_idx'].max() - max_prediction_length\\n\\n context_length = max_encoder_length\\n prediction_length = max_prediction_length\\n\\n self.training = TimeSeriesDataSet(\\n self.data[lambda x: x.time_idx <= training_cutoff],\\n time_idx='time_idx',\\n target='value',\\n categorical_encoders={'series': NaNLabelEncoder().fit(self.data.series)},\\n group_ids=['series'],\\n time_varying_unknown_reals=[\\\"value\\\"],\\n max_encoder_length=context_length,\\n max_prediction_length=prediction_length,\\n )\\n\\n validation = TimeSeriesDataSet.from_dataset(self.training, self.data, min_prediction_idx=training_cutoff + 1)\\n train_dataloader = self.training.to_dataloader(train=True, batch_size=batch_size, num_workers=num_workers)\\n val_dataloader = validation.to_dataloader(train=False, batch_size=batch_size, num_workers=num_workers)\\n\\n return train_dataloader, val_dataloader\",\n \"def series_to_supervised(data, n_in=1, n_out=1, dropnan=True):\\n n_vars = 1 if type(data) is list else data.shape[1]\\n df = pd.DataFrame(data)\\n cols, names = list(), list()\\n # input sequence (t-n, ... t-1)\\n for i in range(n_in, 0, -1):\\n cols.append(df.shift(i))\\n names += [('var%d(t-%d)' % (j+1, i)) for j in range(n_vars)]\\n # forecast sequence (t, t+1, ... t+n)\\n for i in range(0, n_out):\\n cols.append(df.shift(-i))\\n if i == 0:\\n names += [('var%d(t)' % (j+1)) for j in range(n_vars)]\\n else:\\n names += [('var%d(t+%d)' % (j+1, i)) for j in range(n_vars)]\\n # put it all together\\n agg = pd.concat(cols, axis=1)\\n agg.columns = names\\n # drop rows with NaN values\\n if dropnan:\\n agg.dropna(inplace=True)\\n return agg\",\n \"def _fit(self, X: TimeSeriesInstances, y=None) -> np.ndarray:\\n raise NotImplementedError\",\n \"def series_to_supervised(data, n_in=1, delta_in=1, n_out=1,delta_out=1, dropnan=True):\\n \\n if (type(data) is list) or (type(data) is pd.Series):\\n n_vars = 1\\n else:\\n n_vars =data.shape[1]\\n df = pd.DataFrame(data)\\n cols, names = list(), list()\\n # input sequence (t-n, ... t-1)\\n for i in range(n_in, 0, -delta_in):\\n cols.append(df.shift(i))\\n names += [('var%d(t-%d)' % (j+1, i)) for j in range(n_vars)]\\n # forecast sequence (t, t+1, ... t+n)\\n for i in range(0, n_out, delta_out):\\n cols.append(df.shift(-i))\\n if i == 0:\\n names += [('var%d(t)' % (j+1)) for j in range(n_vars)]\\n else:\\n names += [('var%d(t+%d)' % (j+1, i)) for j in range(n_vars)]\\n # put it all together\\n agg = pd.concat(cols, axis=1)\\n agg.columns = names\\n # drop rows with NaN values\\n if dropnan:\\n agg.dropna(inplace=True)\\n return agg\",\n \"def series_to_supervised(data, n_in=1, n_out=1, dropnan=True):\\n n_vars = 1 if type(data) is list else data.shape[1]\\n df = pd.DataFrame(data)\\n cols, names = list(), list()\\n # input sequence (t-n, ... t-1)\\n for i in range(n_in, 0, -1):\\n cols.append(df.shift(i))\\n names += [('var%d(t-%d)' % (j+1, i)) for j in range(n_vars)]\\n # forecast sequence (t, t+1, ... t+n)\\n for i in range(0, n_out):\\n cols.append(df.shift(-i))\\n if i == 0:\\n names += [('var%d(t)' % (j+1)) for j in range(n_vars)]\\n else:\\n names += [('var%d(t+%d)' % (j+1, i)) for j in range(n_vars)]\\n # put it all together\\n agg = pd.concat(cols, axis=1)\\n agg.columns = names\\n # drop rows with NaN values\\n if dropnan:\\n agg.dropna(inplace=True)\\n\\n return agg\",\n \"def to_timeseries(self, dataset_name, light=False):\\n timeseries = tokio.timeseries.TimeSeries()\\n timeseries.dataset_name = dataset_name\\n\\n try:\\n dataset = self[dataset_name]\\n except KeyError:\\n # can't attach because dataset doesn't exist; pass this back to caller so it can init\\n return None\\n\\n timeseries.dataset = dataset if light else dataset[:, :]\\n\\n # load and decode version of dataset and file schema\\n timeseries.global_version = self['/'].attrs.get('version')\\n timeseries.version = self.get_version(dataset_name)\\n if isinstance(timeseries.version, bytes):\\n timeseries.version = timeseries.version.decode()\\n\\n # copy columns into memory\\n columns = self.get_columns(dataset_name)\\n timeseries.set_columns(columns)\\n\\n # copy metadata into memory\\n for key, value in dataset.attrs.items():\\n if isinstance(value, bytes):\\n timeseries.dataset_metadata[key] = value.decode()\\n else:\\n timeseries.dataset_metadata[key] = value\\n for key, value in dataset.parent.attrs.items():\\n if isinstance(value, bytes):\\n timeseries.group_metadata[key] = value.decode()\\n else:\\n timeseries.group_metadata[key] = value\\n\\n timeseries.timestamp_key = get_timestamps_key(self, dataset_name)\\n timeseries.timestamps = self[timeseries.timestamp_key]\\n timeseries.timestamps = timeseries.timestamps if light else timeseries.timestamps[:]\\n\\n timeseries.timestep = timeseries.timestamps[1] - timeseries.timestamps[0]\\n return timeseries\",\n \"def prepare_training_data(consumption_series, lag):\\r\\n # scale training data\\r\\n scaler = MinMaxScaler(feature_range=(-1, 1))\\r\\n consumption_vals = scaler.fit_transform(consumption_series.values.reshape(-1, 1))\\r\\n \\r\\n # convert consumption series to lagged features\\r\\n consumption_lagged = create_lagged_features(consumption_vals, lag=lag)\\r\\n\\r\\n # X, y format taking the first column (original time series) to be the y\\r\\n X = consumption_lagged.drop('consumption', axis=1).values\\r\\n y = consumption_lagged.consumption.values\\r\\n \\r\\n # keras expects 3 dimensional X\\r\\n X = X.reshape(X.shape[0], 1, X.shape[1])\\r\\n \\r\\n return X, y, scaler\",\n \"def train(self):\\n df = self.df\\n self.scaler = MinMaxScaler()\\n self.scaler.fit(df)\\n df[df.columns] = self.scaler.transform(df)\\n\\n\\n X_train, y_train = get_X_y(df, self.n_days, self.length , self.style)\\n\\n self.model = lstm_model(self.length, self.n_days, self.features, self.style)\\n\\n #es = EarlyStopping(monitor = 'accuracy',mode = 'min' , verbose = 1, patience = 100, restore_best_weights = True)\\n\\n self.history = self.model.fit(np.array(X_train), np.array(y_train),\\n #validation_split = 0.3,\\n #callbacks = [es],\\n epochs = 200,\\n batch_size = 64,\\n shuffle = True,\\n verbose = True)\",\n \"def convert_learning_data(timesteps, xaxis='timesteps'):\\n if xaxis == 'timesteps':\\n x_values = np.cumsum(timesteps.l.values)\\n y_values = timesteps.r.values\\n elif xaxis == 'episodes':\\n x_values = np.arange(len(timesteps))\\n y_values = timesteps.r.values\\n elif xaxis == 'walltime_hrs':\\n x_values = timesteps.t.values / 3600.\\n y_values = timesteps.r.values\\n else:\\n raise NotImplementedError\\n return pd.Series(y_values, index=x_values)\",\n \"def series_to_supervised(data, n_in=1, n_out=1, dropnan=True):\\n n_vars = 1 if type(data) is list else data.shape[1]\\n df = data\\n cols, names = list(), list()\\n # input sequence (t-n, ... t-1)\\n for i in range(n_in, 0, -1):\\n cols.append(df.shift(i))\\n names += [\\\"{}_t-{}\\\".format(var_name, i) for var_name in df.columns]\\n\\n # forecast sequence (t, t+1, ... t+n)\\n for i in range(0, n_out):\\n cols.append(df.shift(-i))\\n if i == 0:\\n names += [\\\"{}_t\\\".format(var_name) for var_name in df.columns]\\n else:\\n names += [\\\"{}_t+{}\\\".format(var_name, i) for var_name in df.columns]\\n # put it all together\\n agg = pd.concat(cols, axis=1)\\n agg.columns = names\\n # drop rows with NaN values\\n if dropnan:\\n agg.dropna(inplace=True)\\n return agg\",\n \"def series_to_supervised(data, n_in=1, n_out=1, dropnan=True):\\n\\tn_vars = 1 if type(data) is list else data.shape[1]\\n\\tdf = DataFrame(data)\\n\\tcols, names = list(), list()\\n\\t# input sequence (t-n, ... t-1)\\n\\tfor i in range(n_in, 0, -1):\\n\\t\\tcols.append(df.shift(i))\\n\\t\\tnames += [('var%d(t-%d)' % (j+1, i)) for j in range(n_vars)]\\n\\t# forecast sequence (t, t+1, ... t+n)\\n\\tfor i in range(0, n_out):\\n\\t\\tcols.append(df.shift(-i))\\n\\t\\tif i == 0:\\n\\t\\t\\tnames += [('var%d(t)' % (j+1)) for j in range(n_vars)]\\n\\t\\telse:\\n\\t\\t\\tnames += [('var%d(t+%d)' % (j+1, i)) for j in range(n_vars)]\\n\\t# put it all together\\n\\tagg = concat(cols, axis=1)\\n\\tagg.columns = names\\n\\t# drop rows with NaN values\\n\\tif dropnan:\\n\\t\\tagg.dropna(inplace=True)\\n\\treturn agg\",\n \"def make_dataset(self, df, **kwargs):\\n\\t\\treturn df\",\n \"def __init__(self, ts_df, time_format=\\\"%Y-%m-%d %H:%M:%S\\\", freq='D',\\n fill_method='ffill',\\n n_test=0, n_val=0,\\n hyper_params=None,\\n test='adf',\\n trend=None,\\n seasonal=False,\\n seasonal_periods=1,\\n **kwds):\\n self._ts_df_cols = ['ds', 'y']\\n\\n self.ts_df = ts_df\\n self.time_format = time_format\\n self.freq = freq\\n self.fill_method = fill_method.lower()\\n self.n_test = int(n_test)\\n self.n_val = int(n_val)\\n self.transform = None\\n self._boxcox_lmbda = None\\n\\n self._mode = ''\\n\\n self._train_dt = None\\n self._test_dt = None\\n self._val_dt = None\\n\\n self.model_fit = None\\n self.fittedvalues = None\\n self.residuals = None\\n self.rmse = 0\\n self._gs = tsa.GridSearchClass()\\n self.hyper_params = hyper_params\\n self.best_model = dict()\\n\\n \\\"\\\"\\\"\\n self.rmse_test = 0\\n self.rmse_val = 0\\n \\\"\\\"\\\"\\n\\n self.upper_whisker_res = None\\n self.lower_conf_int = None\\n self.upper_conf_int = None\\n\\n self.forecast = None\\n self.residuals_forecast = None\\n\\n self._res_decomp = None\\n self._arr_seasonal = None\\n self._arr_trend = None\\n self._arr_baseline = None\\n\\n self._test = test\\n self._trend = trend\\n if self._trend is not None:\\n self._trend = self._trend.lower()\\n self._seasonal = seasonal\\n if isinstance(self._seasonal, str):\\n self._seasonal = self._seasonal.lower()\\n self._seasonal_periods = seasonal_periods\\n\\n self._uvts_cls_logger = Logger('uvts_cls')\\n\\n UVariateTimeSeriesClass.assertions(self)\\n # work with ts_df\\n self.ts_df = self.ts_df.reset_index()\\n self.ts_df.columns = self._ts_df_cols\\n self.ts_df['y'] = self.ts_df['y'].apply(np.float64, errors='coerce')\\n self.ts_df.set_index('ds', inplace=True)\\n self._uvts_cls_logger.info(\\n \\\"Received time series data of range: \\\" + str(min(self.ts_df.index)) + ' - ' + str(\\n max(self.ts_df.index)) + \\\" and shape: \\\" + str(self.ts_df.shape))\\n\\n if not isinstance(self.ts_df.index, pd.DatetimeIndex):\\n self._uvts_cls_logger.warning(\\\"Time conversion required...\\\")\\n self.ts_df = self.ts_df.reset_index()\\n try:\\n self.ts_df['ds'] = self.ts_df['ds'].apply(\\n lambda x: datetime.datetime.strptime(\\n str(x).translate({ord('T'): ' ', ord('Z'): None})[:-1],\\n self.time_format))\\n except ValueError as e:\\n self._uvts_cls_logger.warning(\\\"Zulu time conversion not successful: {}\\\".format(e))\\n self._uvts_cls_logger.warning(\\\"Will try without assuming zulu time...\\\")\\n try:\\n self.ts_df['ds'] = self.ts_df['ds'].apply(\\n lambda x: datetime.datetime.strptime(str(x), self.time_format))\\n except ValueError as e:\\n self._uvts_cls_logger.info(\\\"Time conversion not successful. Check your time_format: {}\\\".format(e))\\n sys.exit(\\\"STOP\\\")\\n else:\\n self._uvts_cls_logger.info(\\\"Time conversion successful!\\\")\\n else:\\n self._uvts_cls_logger.info(\\\"Time conversion successful!\\\")\\n # set index\\n self.ts_df.set_index('ds', inplace=True)\\n #\\n self.ts_df.index = pd.to_datetime(self.ts_df.index)\\n self.ts_df.sort_index(inplace=True)\\n # resample\\n self.ts_resample()\\n UVariateTimeSeriesClass.assertions(self, post=True)\\n #\\n if self.n_val > len(self.ts_df) - self.n_test:\\n self.n_val = len(self.ts_df) - self.n_test\\n\\n if self.n_test == 0 and self.n_val == 0:\\n self._mode = 'forecast'\\n elif self.n_test > 0:\\n self._mode = 'test'\\n elif self.n_test == 0 and self.n_val > 0:\\n self._mode = 'validate'\\n \\n # delegate just for good programming style here\\n super(UVariateTimeSeriesClass, self).__init__(**kwds)\",\n \"def to_supervised(sequence, n_previous, n_future):\\n \\n X, y = [], []\\n idx, i = 0, 0\\n while idx+n_future <= len(sequence)-1:\\n idx = i + n_previous\\n X.append(sequence[i:idx])\\n y.append(sequence[idx:idx+n_future])\\n i += 1\\n\\n return np.array(X), np.array(y).squeeze()\",\n \"def data_as_timesteps(X):\\n if isinstance(X, list):\\n # Make tabular data from a list of examples\\n X = np.vstack(X)\\n # Stack data so that features are the 3rd dimension\\n return np.dstack([X])\",\n \"def make_dataset(data, total_window_size, input_slice,\\n labels_slice, label_columns,\\n column_indices, input_width, label_width):\\n data = np.array(data, dtype=np.float32)\\n ds = tf.keras.preprocessing.timeseries_dataset_from_array(\\n data=data,\\n targets=None,\\n sequence_length=total_window_size,\\n sequence_stride=1,\\n shuffle=True,\\n batch_size=32)\\n\\n return ds\",\n \"def series_to_supervised(data, n_in=1, n_out=1, dropNaN=True):\\n\\tn_vars = 1 if type(data) is list else data.shape[1]\\n\\tdf = DataFrame(data)\\n\\tcols, names = list(), list()\\n\\n\\t# input sequence (t-n ... ... t-1)\\n\\tfor i in range(n_in, 0, -1):\\n\\t\\tcols.append(df.shift(i))\\n\\t\\tnames += [('var%d(t-%d)' % (j+1, i)) for j in range(n_vars)]\\n\\n\\t#forecast sequence (t, t+1, ... ... t+n)\\n\\tfor i in range(0, n_out):\\n\\t\\tcols.append(df.shift(-i))\\n\\t\\tif i == 0:\\n\\t\\t\\tnames += [(\\\"var%d(t)\\\" % (j+1)) for j in range(n_vars)]\\n\\t\\telse:\\n\\t\\t\\tnames += [(\\\"var%d(t+%d)\\\" % (j+1, i)) for j in range(n_vars)]\\n\\n\\t# put everything together\\n\\tagg = concat(cols, axis=1)\\n\\tagg.columns = names\\n\\n\\t# drop rows with NaN values\\n\\tif dropNaN:\\n\\t\\tagg.dropna(inplace=True)\\n\\treturn agg\",\n \"def sample_series(self, series, append_frame=None):\\n\\n columns, values = self.get_readings(series)\\n\\n dataframe = DataFrame(values, columns=columns)\\n dataframe = self.format_index(dataframe, self.ENERGY_DB_INDEX)\\n\\n # https://pandas.pydata.org/pandas-docs/stable/merging.html\\n if append_frame is not None:\\n # dataframe = pandas.concat([dataframe, input_frame], axis=1, join='inner', join_axes=[input_frame.index])\\n dataframe = pandas.merge(append_frame, dataframe, on=['time', 'time'])\\n # print(dataframe)\\n\\n return dataframe\",\n \"def pandas_to_data_timeseries_var(df, feat, id_col = 'PTID', time='VISCODE'):\\n # Order the dataframe\\n df = df.sort_values(by=[id_col, time], ascending=False)\\n\\n #Nuumber of samples\\n sample_list = np.unique(df[id_col])\\n\\n # Create base list\\n X = []\\n # Iterate over each subject and fill it\\n df_feats = df.loc[:, feat]\\n i = 0\\n for ptid in sample_list:\\n i_list = df.index[df['PTID'] == ptid]\\n feats = df_feats.iloc[i_list, :].values\\n X.append(feats)\\n i += 1\\n\\n # Return numpy dataframe\\n return X\",\n \"def create_trainset(\\n self,\\n s=\\\"2016-01-01\\\",\\n e=\\\"2018-12-31\\\",\\n freq=\\\"D\\\",\\n ) -> DateTensors:\\n self.date_series = DatasetDateSeries(\\n start=s, end=e, wsz=self.wsz, to_onehot=True\\n ) # wsz same as W\\n\\n # ti window data to tensor\\n ti = Tsr(self.date_series.ti_win)\\n\\n # tc window data to tensor\\n N, W, Dtc = len(ti), self.date_series.wsz, 3\\n tc = torch.randint(0, 2, (1, 1, Dtc)).repeat(N, W, 1) # shape: (N, W, Dtc)\\n\\n # kn window data to tensor\\n kn = Tsr(self.date_series.kn_win)\\n\\n # create target data as `tg` (target)\\n tg = self.dct_curve[self.model_type](ti).repeat(1, 1, self.Dout)\\n\\n ti, tc, kn, tg = self.to_device(ti, tc, kn, tg)\\n trainset = DateTensors(\\n ti=ti, tc=tc, kn=kn, tg=tg, device=self.device\\n ) # ti/tc/kn.shape: (N, W, Dout), tg.shape = (N, 1, Dout)\\n self.trainset = trainset\\n return trainset\",\n \"def prepare_ts(s):\\n s = s.rename_axis('ds')\\n out = s.rename('y').reset_index()\\n return out\",\n \"def to_dataset(self):\\n if not self.type:\\n raise aspecd.exceptions.MissingDatasetError\\n dataset = aspecd.utils.object_from_class_name(self.type)\\n dataset.id = self.id\\n for history_record in self.history:\\n history_record.replay(dataset)\\n return dataset\",\n \"def time_series(self, length):\\n maker = r.Recomposer(self._components, self.bias)\\n return maker.time_series(length)\",\n \"def get_sequence_to_sequence_data(series):\\n Y = np.empty((INITIAL_BATCH_SIZE,N_INPUT_STEPS,N_PREDICTIONS,N_OUTPUT_FEATURES))\\n # ^ At every one of our input time steps, we will predict the following N_PREDICTIONS time steps.\\n for step_ahead in range(1,N_PREDICTIONS+1):\\n Y[:,:,step_ahead-1,:N_OUTPUT_FEATURES] = series[:,step_ahead:step_ahead+N_INPUT_STEPS,:N_OUTPUT_FEATURES]\\n Y = Y.reshape(INITIAL_BATCH_SIZE,N_INPUT_STEPS,N_PREDICTIONS*N_OUTPUT_FEATURES)\\n return Y\",\n \"def _get_raw_data(self, idx=0):\\n # Get the time step then make a data frame\\n raise NotImplementedError('Code me up!')\\n #data = self._data[???]\\n return data\",\n \"def samples_timesteps_features(dataframe, columns, start_date, timesteps=72, \\n steps_ahead=24, window_days=100, train_percent=80.):\\n \\n def overlap_windows(dataset, timesteps, steps_ahead):\\n \\\"\\\"\\\" Create overlaping window of time-series data\\n \\n Parameters\\n ----------\\n dataset: pd.DataFrame\\n time-series pandas dataset\\n timesteps: int\\n number of time steps from the past for creating output arrays\\n steps_ahead: int\\n number of time steps into the future for making predictions\\n \\n Returns\\n -------\\n X, y: np.array\\n input and output 3-d arrays of overlaping time windows\\n \\\"\\\"\\\"\\n X = []; y = []\\n \\n start = 0\\n for i in range(len(dataset)):\\n # Define the end of the input sequence\\n in_end = start + timesteps\\n out_end = in_end + steps_ahead\\n # Ensure that there is enough data\\n if out_end <= len(dataset):\\n X.append(dataset[start:in_end, :])\\n # First column holds load values\\n y.append(dataset[in_end:out_end, 0])\\n # Move along one time step\\n start += 1\\n \\n # Convert list to np.array\\n X = np.asarray(X)\\n y = np.asarray(y)\\n \\n return X, y\\n\\n\\n data = dataframe.copy()\\n \\n if window_days*24 > data.values.shape[0]:\\n raise ValueError('Variable window_days has too large value: {}*24h = {} > {}, which is more than there is data!'.format(window_days, window_days*24, \\n data.values.shape[0]))\\n \\n # Training period\\n # ---------------\\n train_percent = train_percent/100.\\n st = pd.to_datetime(start_date) # start date\\n et = st + dt.timedelta(days=int(train_percent*window_days)) # end date\\n train = data.loc[st:et].values\\n \\n # Standardize and transform training data set\\n mean_std_values = {}\\n for i, column in enumerate(columns):\\n # Calculate mean and standard deviation only\\n # from the training data set values\\n mu = train[:,i].mean() # axis=0\\n sd = train[:,i].std()\\n mean_std_values[column] = (mu, sd)\\n # Standardize training data\\n train[:,i] = (train[:,i] - mu)/sd\\n \\n # Create overlapping windows with training data\\n X_train, y_train = overlap_windows(train, timesteps, steps_ahead)\\n \\n # Testing / Validation period\\n # ---------------------------\\n sv = et \\n ev = sv + dt.timedelta(days=int((1-train_percent)*window_days)+1)\\n test = data.loc[sv:ev].values\\n \\n # Transform testing/validation data set\\n for i, column in enumerate(columns):\\n # Use mean and standard deviation from the\\n # training data set\\n mu = mean_std_values[column][0]\\n sd = mean_std_values[column][1]\\n # Standardize test data\\n test[:,i] = (test[:,i] - mu)/sd\\n \\n # Create overlaping windows with test data\\n X_test, y_test = overlap_windows(test, timesteps, steps_ahead)\\n \\n return mean_std_values, X_train, y_train, X_test, y_test\",\n \"def fit(self, X, y=None):\\n # X is a dataframe of dates with date features\\n self.X = X\\n self.y = y\\n return self\",\n \"def run_episode(self, environment):\\n dummy = pd.DataFrame({\\\"Date\\\": [\\\"2016-01-01\\\"]})\\n dummy = dummy.set_index(\\\"Date\\\")\\n return dummy\",\n \"def fit(self, X: np.ndarray, y: np.ndarray, **kwargs) -> \\\"TSNaiveSeasonal\\\":\\n if X.size != y.size:\\n raise ValueError(\\\"'X' and 'y' size must match.\\\")\\n\\n if self.copy or not isinstance(y, np.ndarray):\\n self.y = np.copy(y)\\n\\n else:\\n self.y = y\\n\\n if X.size < self.ts_period:\\n raise ValueError(\\n \\\"Fitted time-series can't be smaller than its \\\" \\\"period.\\\"\\n )\\n\\n self.timestamp_interval = X[1] - X[0]\\n self.last_timestamp = X[-1]\\n\\n self._fitted = True\\n\\n return self\",\n \"def encode(self, X, batch_size=50):\\n # Check if the given time series have unequal lengths\\n varying = bool(numpy.isnan(numpy.sum(X)))\\n\\n test = utils.Dataset(X)\\n test_generator = torch.utils.data.DataLoader(\\n test, batch_size=batch_size if not varying else 1\\n )\\n features = numpy.zeros((numpy.shape(X)[0], self.out_channels))\\n self.encoder = self.encoder.eval()\\n\\n count = 0\\n with torch.no_grad():\\n if not varying:\\n for batch in test_generator:\\n if self.cuda:\\n batch = batch.cuda(self.gpu)\\n features[\\n count * batch_size: (count + 1) * batch_size\\n ] = self.encoder(batch).cpu()\\n count += 1\\n else:\\n for batch in test_generator:\\n if self.cuda:\\n batch = batch.cuda(self.gpu)\\n length = batch.size(2) - torch.sum(\\n torch.isnan(batch[0, 0])\\n ).data.cpu().numpy()\\n features[count: count + 1] = self.encoder(\\n batch[:, :, :length]\\n ).cpu()\\n count += 1\\n\\n self.encoder = self.encoder.train()\\n return features\",\n \"def create_forecast_dataset(self):\\n pass\",\n \"def __init__(self, data_frame, mins_set):\\n # super(FeaturePrevDelays, self).__init__()\\n self.df = data_frame.copy()\\n self.mins_set = mins_set\",\n \"def set_learning_data(self, df):\\n\\t\\tdf.to_csv(self.learningDataFile)\",\n \"def FE_create_time_series_features(dft, ts_column, ts_adds_in=[]):\\r\\n dtf = copy.deepcopy(dft)\\r\\n reset_index = False\\r\\n try:\\r\\n # ts_column = None assumes that that index is the time series index\\r\\n reset_index = False\\r\\n if ts_column is None:\\r\\n reset_index = True\\r\\n ts_column = dtf.index.name\\r\\n dtf = dtf.reset_index()\\r\\n\\r\\n ### In some extreme cases, date time vars are not processed yet and hence we must fill missing values here!\\r\\n null_nums = dtf[ts_column].isnull().sum()\\r\\n if null_nums > 0:\\r\\n # missing_flag = True\\r\\n new_missing_col = ts_column + '_Missing_Flag'\\r\\n dtf[new_missing_col] = 0\\r\\n dtf.loc[dtf[ts_column].isnull(),new_missing_col]=1\\r\\n dtf[ts_column].fillna(method='ffill', inplace=True)\\r\\n print(' adding %s column due to missing values in data' %new_missing_col)\\r\\n if dtf[dtf[ts_column].isnull()].shape[0] > 0:\\r\\n dtf[ts_column].fillna(method='bfill', inplace=True)\\r\\n\\r\\n if dtf[ts_column].dtype == float:\\r\\n dtf[ts_column] = dtf[ts_column].astype(int)\\r\\n\\r\\n ### if we have already found that it was a date time var, then leave it as it is. Thats good enough!\\r\\n items = dtf[ts_column].apply(str).apply(len).values\\r\\n #### In some extreme cases,\\r\\n if all(items[0] == item for item in items):\\r\\n if items[0] == 4:\\r\\n ### If it is just a year variable alone, you should leave it as just a year!\\r\\n dtf[ts_column] = pd.to_datetime(dtf[ts_column],format='%Y')\\r\\n ts_adds = []\\r\\n else:\\r\\n ### if it is not a year alone, then convert it into a date time variable\\r\\n dtf[ts_column] = pd.to_datetime(dtf[ts_column], infer_datetime_format=True)\\r\\n ### this is where you create the time series features #####\\r\\n dtf, ts_adds = _create_ts_features(df=dtf, tscol=ts_column)\\r\\n else:\\r\\n dtf[ts_column] = pd.to_datetime(dtf[ts_column], infer_datetime_format=True)\\r\\n ### this is where you create the time series features #####\\r\\n dtf, ts_adds = _create_ts_features(df=dtf, tscol=ts_column)\\r\\n if not ts_adds_in:\\r\\n ts_adds_copy = dtf[ts_adds].select_dtypes(include='number').columns.tolist()\\r\\n ### drop those columns where all rows are same i.e. zero variance ####\\r\\n for col in ts_adds_copy:\\r\\n if dtf[col].std() == 0:\\r\\n dtf.drop(col, axis=1, inplace=True)\\r\\n print(' dropping column due to zero variance in %s column' %col)\\r\\n ts_adds.remove(col)\\r\\n else:\\r\\n rem_cols = left_subtract(dtf.columns.tolist(), ts_adds_in)\\r\\n dtf = dtf[rem_cols+ts_adds_in]\\r\\n\\r\\n # If you had reset the index earlier, set it back before returning\\r\\n # to make it consistent with the dataframe that was sent as input\\r\\n if reset_index:\\r\\n dtf = dtf.set_index(ts_column)\\r\\n elif ts_column in dtf.columns:\\r\\n dtf.drop(ts_column, axis=1, inplace=True)\\r\\n else:\\r\\n pass\\r\\n except Exception as e:\\r\\n print(e)\\r\\n print('Error in Processing %s column for date time features. Continuing...' %ts_column)\\r\\n return dtf, ts_adds\",\n \"def create_features(energy_data, label=None):\\n energy_data['date'] = energy_data.index\\n energy_data['hour'] = energy_data['Datetime'].dt.hour\\n energy_data['dayofweek'] = energy_data['Datetime'].dt.dayofweek\\n energy_data['month'] = energy_data['Datetime'].dt.month\\n energy_data['quarter'] = energy_data['Datetime'].dt.quarter\\n energy_data['year'] = energy_data['Datetime'].dt.year\\n energy_data['dayofyear'] = energy_data['Datetime'].dt.dayofyear\\n energy_data['dayofmonth'] = energy_data['Datetime'].dt.day\\n energy_data['weekofyear'] = energy_data['Datetime'].dt.weekofyear\\n energy_data['pjme_2_hrs_lag'] = energy_data['PJME_MW'].shift(2)\\n energy_data['pjme_4_hrs_lag'] = energy_data['PJME_MW'].shift(4)\\n energy_data['pjme_8_hrs_lag'] = energy_data['PJME_MW'].shift(8)\\n energy_data['pjme_12_hrs_lag'] = energy_data['PJME_MW'].shift(12)\\n energy_data['pjme_24_hrs_lag'] = energy_data['PJME_MW'].shift(24)\\n energy_data['pjme_4_hrs_mean'] = energy_data['PJME_MW'].rolling(window=4).mean()\\n energy_data['pjme_8_hrs_mean'] = energy_data['PJME_MW'].rolling(window=8).mean()\\n energy_data['pjme_12_hrs_mean'] = energy_data['PJME_MW'].rolling(window=12).mean()\\n energy_data['pjme_24_hrs_mean'] = energy_data['PJME_MW'].rolling(window=24).mean()\\n energy_data['pjme_4_hrs_std'] = energy_data['PJME_MW'].rolling(window=4).std()\\n energy_data['pjme_8_hrs_std'] = energy_data['PJME_MW'].rolling(window=8).std()\\n energy_data['pjme_12_hrs_std'] = energy_data['PJME_MW'].rolling(window=12).std()\\n energy_data['pjme_24_hrs_std'] = energy_data['PJME_MW'].rolling(window=24).std()\\n energy_data['pjme_4_hrs_max'] = energy_data['PJME_MW'].rolling(window=4).max()\\n energy_data['pjme_8_hrs_max'] = energy_data['PJME_MW'].rolling(window=8).max()\\n energy_data['pjme_12_hrs_max'] = energy_data['PJME_MW'].rolling(window=12).max()\\n energy_data['pjme_24_hrs_max'] = energy_data['PJME_MW'].rolling(window=24).max()\\n energy_data['pjme_4_hrs_min'] = energy_data['PJME_MW'].rolling(window=4).min()\\n energy_data['pjme_8_hrs_min'] = energy_data['PJME_MW'].rolling(window=8).min()\\n energy_data['pjme_12_hrs_min'] = energy_data['PJME_MW'].rolling(window=12).min()\\n energy_data['pjme_24_hrs_min'] = energy_data['PJME_MW'].rolling(window=24).min()\\n\\n features = energy_data[['hour', 'dayofweek', 'quarter', 'month', 'year',\\n 'dayofyear', 'dayofmonth', 'weekofyear', 'pjme_2_hrs_lag', 'pjme_4_hrs_lag',\\n 'pjme_8_hrs_lag', 'pjme_12_hrs_lag', 'pjme_24_hrs_lag', 'pjme_4_hrs_mean',\\n \\\"pjme_8_hrs_mean\\\", \\\"pjme_12_hrs_mean\\\", \\\"pjme_24_hrs_mean\\\", \\\"pjme_4_hrs_std\\\",\\n \\\"pjme_8_hrs_std\\\", \\\"pjme_12_hrs_std\\\", \\\"pjme_24_hrs_std\\\",\\n \\\"pjme_4_hrs_max\\\", \\\"pjme_8_hrs_max\\\", \\\"pjme_12_hrs_max\\\", \\\"pjme_24_hrs_max\\\",\\n \\\"pjme_4_hrs_min\\\", \\\"pjme_8_hrs_min\\\", \\\"pjme_12_hrs_min\\\", \\\"pjme_24_hrs_min\\\"]]\\n if label:\\n label = energy_data[label]\\n return features, label\\n return features\",\n \"def train(self):\\n df = self.df\\n self.scaler = MinMaxScaler()\\n self.scaler.fit(df)\\n df[df.columns] = self.scaler.transform(df)\\n\\n\\n X_train, y_train = get_X_y(df, self.n_days, self.length , self.style)\\n X_train = np.array(X_train)\\n X_train.shape = (X_train.shape[0], X_train.shape[2])\\n\\n self.clf = LogisticRegression().fit(X_train, y_train)\\n\\n #es = EarlyStopping(monitor = 'accuracy',mode = 'min' , verbose = 1, patience = 100, restore_best_weights = True)\",\n \"def _build_forecast_series(self,\\n points_preds: np.ndarray) -> TimeSeries:\\n\\n time_index = self._generate_new_dates(len(points_preds))\\n\\n return TimeSeries.from_times_and_values(time_index, points_preds, freq=self.training_series.freq())\",\n \"def time_series_train_test_split_y(df, test_date_start):\\n test_date_cutoff = datetime.strptime(test_date_start, '%Y-%m-%d')\\n train_date_cutoff = test_date_cutoff - timedelta(1)\\n \\n y = df['AverageTemperature']\\n y_train = y.loc[:train_date_cutoff]\\n y_test = y.loc[test_date_cutoff:]\\n \\n return y, y_train, y_test\",\n \"def SweepFrame(*args, **kwargs):\\n underride(kwargs, dtype=float)\\n return pd.DataFrame(*args, **kwargs)\",\n \"def testprepare_dataset(self, stock):\\n dataset = pd.DataFrame(yf.download(stock))\\n dataset['Difference'] = dataset['Close'].diff() # Finds the difference in price each day\\n dataset = dataset[1:] # Drops the first null value\\n dataset_train = dataset[0:len(dataset)-30] # Training dataset will be the whole dataset minus the test dataset\\n training_set = dataset_train.iloc[:, 6:7].values # Use the open values only\\n\\n # Feature Scaling\\n sc = MinMaxScaler(feature_range=(0, 1)) # Scales all values so that they are in the range (0, 1)\\n training_set_scaled = sc.fit_transform(training_set)\\n\\n # Create an input data structure with a timestep\\n x_train = []\\n y_train = []\\n for i in range(self.timestep, len(dataset)-30):\\n x_train.append(training_set_scaled[i - self.timestep:i, 0])\\n y_train.append(training_set_scaled[i, 0])\\n x_train, y_train = np.array(x_train), np.array(y_train)\\n\\n # Reshaping\\n x_train = np.reshape(x_train, (x_train.shape[0], x_train.shape[1], 1))\\n\\n return x_train, y_train\",\n \"def fit(self, X, y=None):\\n if self.metric in TSLEARN_VALID_METRICS:\\n self._ts_metric = self.metric\\n self.metric = \\\"precomputed\\\"\\n\\n X = check_array(X,\\n allow_nd=True,\\n force_all_finite=(self.metric != \\\"precomputed\\\"))\\n X = to_time_series_dataset(X)\\n X = check_dims(X)\\n if self.metric == \\\"precomputed\\\" and hasattr(self, '_ts_metric'):\\n self._ts_fit = X\\n self._d = X.shape[2]\\n self._X_fit = numpy.zeros((self._ts_fit.shape[0],\\n self._ts_fit.shape[0]))\\n else:\\n self._X_fit, self._d = to_sklearn_dataset(X, return_dim=True)\\n super().fit(self._X_fit, y)\\n if hasattr(self, '_ts_metric'):\\n self.metric = self._ts_metric\\n return self\",\n \"def fit(self, X, y):\\n if self.metric in TSLEARN_VALID_METRICS:\\n self._ts_metric = self.metric\\n self.metric = \\\"precomputed\\\"\\n\\n X = check_array(X,\\n allow_nd=True,\\n force_all_finite=(self.metric != \\\"precomputed\\\"))\\n X = to_time_series_dataset(X)\\n X = check_dims(X)\\n if self.metric == \\\"precomputed\\\" and hasattr(self, '_ts_metric'):\\n self._ts_fit = X\\n self._d = X.shape[2]\\n self._X_fit = numpy.zeros((self._ts_fit.shape[0],\\n self._ts_fit.shape[0]))\\n else:\\n self._X_fit, self._d = to_sklearn_dataset(X, return_dim=True)\\n super().fit(self._X_fit, y)\\n if hasattr(self, '_ts_metric'):\\n self.metric = self._ts_metric\\n return self\",\n \"def __init__(self, dataFrame):\\n self.dataFrame = dataFrame\",\n \"def train_test(df, response, train_size=0.75, time_series=False, scaling=None):\\n\\n data = df.copy()\\n X = data.drop(response, 1)\\n y = data[response]\\n\\n logging.info('X columns')\\n logging.info(list(X.columns))\\n logging.info('Response')\\n logging.info(response)\\n\\n if time_series:\\n trainsize = int(train_size*len(X))\\n X_train = X[:trainsize].values\\n X_test = X[trainsize:].values\\n y_train = y[:trainsize].values\\n y_test = y[trainsize:].values\\n\\n else:\\n X_train, X_test, y_train, y_test = train_test_split(X.values,\\n y.values,\\n random_state=0,\\n train_size=train_size)\\n if scaling == 'standard':\\n scaler = preprocessing.StandardScaler()\\n if scaling == 'minmax':\\n scaler = preprocessing.MinMaxScaler()\\n if scaling == 'maxabs':\\n scaler = preprocessing.MaxAbsScaler()\\n if scaling == 'robust':\\n scaler = preprocessing.RobustScaler()\\n if scaling == 'quantile':\\n scaler = preprocessing.QuantileTransformer()\\n\\n if scaling != None:\\n scaler.fit(X_train)\\n X_train = scaler.transform(X_train)\\n X_test = scaler.transform(X_test)\\n\\n return X_train, X_test, y_train, y_test\",\n \"def train(self, dataset): \\n self.random_forest.fit(dataset[:,:-1], dataset[:,-1])\",\n \"def to_timeseries(benchmark_data, x_label='Episode', y_label='Average Episode Reward',\\n target=rewards_by_episode, cut_x=1e12, smooth=0):\\n data_experiments, data_times, data_values = [], [], []\\n\\n for experiment_id, experiment_data in enumerate(benchmark_data):\\n extended_results = experiment_data.extended_results()\\n\\n if smooth > 0:\\n extended_results['rewards'] = np.array(pd.Series(extended_results['rewards']).ewm(span=smooth).mean())\\n\\n x, y = target(cut_x=cut_x, **extended_results)\\n\\n data_times.extend(x)\\n data_values.extend(y)\\n data_experiments.extend([experiment_id] * len(x))\\n\\n return pd.DataFrame({'experiment': data_experiments, x_label: data_times, y_label: data_values})\",\n \"def _create_time_series_data(\\n self, run_name: str, tag_name: str, metadata: tf.compat.v1.SummaryMetadata\\n ) -> tensorboard_data.TimeSeriesData:\\n time_series_resource_name = (\\n self._one_platform_resource_manager.get_time_series_resource_name(\\n run_name,\\n tag_name,\\n lambda: tensorboard_time_series.TensorboardTimeSeries(\\n display_name=tag_name,\\n value_type=self._value_type,\\n plugin_name=metadata.plugin_data.plugin_name,\\n plugin_data=metadata.plugin_data.content,\\n ),\\n )\\n )\\n\\n time_series_data_proto = tensorboard_data.TimeSeriesData(\\n tensorboard_time_series_id=time_series_resource_name.split(\\\"/\\\")[-1],\\n value_type=self._value_type,\\n )\\n\\n self._byte_budget_manager.add_time_series(time_series_data_proto)\\n self._run_to_tag_to_time_series_data[run_name][\\n tag_name\\n ] = time_series_data_proto\\n return time_series_data_proto\",\n \"def train_test_dataset(self, train_rate=0.8):\\n point_date = int(len(self.y) * train_rate)\\n y_to_train = self.y[:point_date]\\n y_to_val = self.y[point_date:]\\n predict_date = len(self.y) - len(y_to_train) # the number of data points for the test set\\n date_val = self.y.index[point_date]\\n return y_to_train, y_to_val, predict_date, date_val\",\n \"def to_drawdown_series(self):\\n self.tsdf = drawdown_series(self.tsdf)\\n self.tsdf.columns = pd.MultiIndex.from_product([[self.label], ['Drawdowns']])\\n self.tsdf.index = pd.to_datetime(self.tsdf.index)\\n return self\",\n \"def data():\\n\\n run_type = 'standardised'\\n sr = 48000\\n train_perc = 0.9\\n\\n if sr == 48000:\\n time_dimension = 282\\n if sr == 44100:\\n time_dimension = 259\\n\\n x_train, y_train, x_test, y_test = essential.compile_dataset(run_type, sr)\\n\\n # reshape for CNN input\\n x_train = np.array([x.reshape((128, time_dimension, 1)) for x in x_train])\\n x_test = np.array([x.reshape((128, time_dimension, 1)) for x in x_test])\\n\\n # encoded \\n encoder = LabelEncoder()\\n encoder.fit(y_train)\\n encoder.fit(y_test)\\n y_train = encoder.transform(y_train)\\n y_test = encoder.transform(y_test)\\n\\n return x_train, y_train, x_test, y_test\",\n \"def impulse_data(sample_rate=512,psd_segment_length=60):\\n epoch = 1153742417.0\\n ts_data = numpy.zeros(sample_rate * psd_segment_length)\\n ts_data = types.TimeSeries(ts_data, delta_t=1.0/sample_rate, epoch=epoch)\\n return ts_data\",\n \"def generate_ensemble_time_series(dsys, n_traj, len_traj):\\n\\n for i in range(n_traj):\\n # Training initial condition.\\n x0_train = normal(loc=0.0, scale=1.0, size=(dsys.A.shape[1]))\\n\\n # Run simulation to generate dataset.\\n t, _, x = dlsim(dsys, np.zeros((len_traj, dsys.inputs)), x0=x0_train)\\n\\n # Store the data.\\n if i == 0:\\n X, Y = x.T[:, :-1], x.T[:, 1:]\\n else:\\n X, Y = np.c_[X, x.T[:, :-1]], np.c_[Y, x.T[:, 1:]]\\n return X, Y\",\n \"def split_dataset(valid_datetime):\\n\\tprint(\\\"all_frames: \\\", valid_datetime.shape[0])\\n\\tprint(\\\"valid_frames: \\\", np.sum(valid_datetime[:,1]))\\n\\tprint(\\\"no_valid_frames: \\\", np.sum(1-valid_datetime[:,1]))\\n\\n\\tvalid_datetime_bool = (valid_datetime[:,1] == 1)\\n\\tvalid_datetime_idx = np.where(valid_datetime_bool)[0]\\n\\tvalid_datetime = valid_datetime[valid_datetime_bool][:,0]\\n\\n\\ttrain_set = []\\n\\tvalid_set = []\\n\\ttest_set = []\\n\\t\\n\\tdate = set()\\n\\tfor dt in valid_datetime.astype(str):\\n\\t\\tdate.add(dt[:8])\\n\\tdate = list(date)\\n\\tdate.sort()\\n\\n\\tfor i in date:\\n\\t\\tflag = np.random.randint(0,14)\\n\\t\\tif flag < 11:\\n\\t\\t\\ttrain_set.append(i)\\n\\t\\telif flag == 11:\\n\\t\\t\\tvalid_set.append(i)\\n\\t\\telse:\\n\\t\\t\\ttest_set.append(i)\\n\\n\\tprint(\\\"valid days: \\\", len(date))\\n\\tprint(\\\"train set days: \\\", len(train_set))\\n\\tprint(\\\"valid set days: \\\", len(valid_set))\\n\\tprint(\\\"test set days: \\\", len(test_set))\\n\\n\\ttrain_set_data = []\\n\\tvalid_set_data = []\\n\\ttest_set_data = []\\n\\tfor dt,idx in zip(valid_datetime.astype(str), valid_datetime_idx):\\n\\t\\tt_date = dt[:8]\\n\\t\\tif t_date in train_set:\\n\\t\\t\\ttrain_set_data.append([dt,idx])\\n\\t\\telif t_date in valid_set:\\n\\t\\t\\tvalid_set_data.append([dt,idx])\\n\\t\\telse:\\n\\t\\t\\ttest_set_data.append([dt,idx])\\n\\n\\tprint(\\\"train set samples: \\\", len(train_set_data))\\n\\tprint(\\\"valid set samples: \\\", len(valid_set_data))\\n\\tprint(\\\"test set samples: \\\", len(test_set_data))\\t\\n\\n\\t#assert(np.sum(valid_datetime[:,1]) == valid_datetime.shape[0])\\n\\treturn [train_set_data, valid_set_data, test_set_data]\",\n \"def __copy__(self):\\n ts = TimeSeries.from_twodim_list(self._timeseriesData)\\n\\n ts._normalizationLevel = self._normalizationLevel\\n ts._normalized = self._normalized\\n ts._sorted = self._sorted\\n ts._predefinedSorted = self._predefinedSorted\\n ts._predefinedNormalized = self._predefinedNormalized\\n ts._timestampFormat = self._timestampFormat\\n\\n return ts\",\n \"def data_longley():\\n y, X = load_longley()\\n y_train, y_test, X_train, X_test = temporal_train_test_split(y, X)\\n return y_train, y_test, X_train, X_test\",\n \"def _forecast_train(stan_fit, p):\\n \\n train_n = stan_fit.data['N']\\n t = np.arange(train_n) / train_n\\n train_changepoints = stan_fit.data['s']\\n \\n A = (t[:, None] > train_changepoints) * 1. # t x s\\n \\n X = fourier_series(t, p=p, fourier_order=stan_fit.data['n_fourier']) \\n \\n samples = stan_fit.extract(permuted=True)\\n \\n samples_n = len(samples['lp__'])\\n \\n y_hat = np.zeros(shape=(samples_n, len(t)))\\n mu_trend = np.zeros(shape=(samples_n, len(t)))\\n mu_s = np.zeros(shape=(samples_n, len(t)))\\n \\n for iteration in range(samples_n):\\n \\n k = samples['k'][iteration]\\n m = samples['m'][iteration]\\n deltas = samples['delta'][iteration]\\n beta = samples['beta'][iteration]\\n sigma = samples['sigma'][iteration]\\n \\n gamma = -train_changepoints * deltas;\\n mu_trend[iteration,:] = k + np.matmul(A, deltas) * t + (m + np.matmul(A, gamma))\\n mu_s[iteration,:] = np.matmul(X, beta)\\n \\n mu = mu_trend[iteration] + mu_s[iteration]\\n \\n y_hat[iteration,:] = np.random.normal(mu, sigma)\\n \\n return y_hat, mu_trend, mu_s, samples, samples_n, train_n, train_changepoints\",\n \"def prep_data(df):\\n y = df.target\\n X = df.drop([\\\"target\\\"], axis=1)\\n X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2)\\n return X_train, X_test, y_train, y_test\",\n \"def create_dataset(dataset,time_step=1):\\n dataX,dataY=[],[]\\n for i in range(len(dataset)-time_step):\\n a=dataset[i:i+time_step]\\n dataX.append(a)\\n dataY.append(dataset[i+time_step])\\n return np.asarray(dataX),np.asarray(dataY)\",\n \"def set_training_data(self):\\n # Optional training data period\\n # TODO: add training data period feature to training data query\\n if not self.training_period == None:\\n training_period_date = (datetime.datetime.utcnow() - timedelta(minutes=self.training_period)).strftime(\\\"%Y-%m-%d\\\")\\n print(f\\\"Training data start date: {training_period_date}\\\")\\n # Extract queried data from Athena\\n #athena = athena_connect.Athena()\\n #features_df = athena.pandas_read_athena(self.training_data_sql)\\n with open('feature_sql.txt', 'w') as f:\\n print(self.training_data_sql, file=f) \\n features_df = pd.read_sql(self.training_data_sql, self.logic_db_engine())\\n features_df.fillna(0, inplace=True)\\n print(features_df.shape)\\n features_df = features_df[max(self.feature_minutes_list):]\\n print(features_df.shape)\\n # Remove infinity string\\n features_df.replace({'Infinity': 0}, inplace=True)\\n # Convert all object fields to numeric except date fields\\n object_col_list = features_df.columns[features_df.dtypes.eq('object')]\\n object_col_list = [col for col in object_col_list if 'trade_date' not in col]\\n features_df[object_col_list] = features_df[object_col_list].apply(pd.to_numeric, errors='coerce')\\n self.training_df = features_df\",\n \"def as_dframe(cls, dataset):\\n return dataset.dframe()\",\n \"def build_toy_dataset(N):\\n y_data = np.random.uniform(-10.5, 10.5, N)\\n r_data = np.random.normal(size=N) # random noise\\n x_data = np.sin(0.75 * y_data) * 7.0 + y_data * 0.5 + r_data * 1.0\\n x_data = x_data.reshape((N, 1))\\n return train_test_split(x_data, y_data, random_state=42)\",\n \"def to_work_series(self, data: pd.Series) -> pd.Series:\\n ...\",\n \"def features_dataset(features_pickle_path, train=True):\\n if train:\\n start = 0\\n stop = 48000\\n else:\\n start = 48000\\n stop = 50000\\n\\n features = pd.read_hdf(features_pickle_path, start=start, stop=stop).values\\n\\n labels = torch.zeros(features.shape[0]).float()\\n features = torch.from_numpy(features).float()\\n\\n return torch.utils.data.TensorDataset(features, labels)\",\n \"def calculate_timebase_features(self, X: pd.DataFrame) -> pd.DataFrame:\\n X = self._add_lagged_features(X, [1, 3, 7, 14, 21, 365])\\n\\n X = self._add_rolling(X, 'mean', [5, 50])\\n X = self._add_rolling(X, 'min', [5, 50])\\n X = self._add_rolling(X, 'max', [5, 50])\\n\\n return X\",\n \"def trainData(self, X, y, NeuralNet, epochs):\",\n \"def to_dataframe(self, include_metadata: bool = True) -> pd.DataFrame:\\n # Get all our data first with async\\n # Note that all our pandas work will tax CPU so we wouldn't expect any\\n # performance gains from doing the data parsing as a callback\\n records = self.to_dict()\\n data = []\\n for series in records:\\n df = pd.DataFrame(series.pop(\\\"data\\\"), columns=[\\\"period\\\", \\\"value\\\"])\\n if include_metadata:\\n df = df.assign(**series)\\n data.append(df)\\n return pd.concat(data, ignore_index=True)\",\n \"def transform_train_data(df):\\n return df.rdd.map(\\n lambda x: (\\n Vectors.dense([x.amount, x.split, x.maintain4, x.maintain12]),\\n x.intime\\n )\\n ).toDF([\\\"features\\\", \\\"label\\\"])\",\n \"def expand_dataset(X, bst, groups, year):\\n y_pred = predict(X, bst, groups)\\n X[config.PREDICTED_INDICATOR.replace(\\\".\\\",\\\"_\\\")] = y_pred\\n return X\",\n \"def makeTimeSeriesData(self,cluster,server,items):\\n start = 0\\n end = len(items)\\n step = 1\\n values = []\\n for key,value in items.iteritems():\\n values.append(value)\\n \\n name = cluster+\\\",\\\"+server+\\\",alert\\\"\\n series = TimeSeries(name, start, end, step, values)\\n #for key,value in items:\\n return series\",\n \"def datetime_features(\\n s: pd.Series, result: Optional[pd.DataFrame] = None\\n) -> pd.DataFrame:\\n result = date_features(s, result)\\n return time_features(s, result)\",\n \"def _prepare(self, df, impute_only, streaming=False, **kwargs):\\n\\n import pandas as pd\\n\\n min_ts_length = self.min_ts_length\\n max_ts_length = self.max_ts_length\\n target_metric = 'raw'\\n imputed_metric = 'interpolated'\\n\\n # if input dimension/metric combination timeseries is null, skip modeling\\n if len(df) == 0:\\n raise ValueError(\\\"No model ran because dimension/metric combination is null\\\")\\n if not streaming and len(df) < min_ts_length:\\n raise ValueError(\\\"Current time series length of {}{} is less tha minimum requires \\\"\\n \\\"length {}{} for training\\\".format(len(df), self.freq, min_ts_length, self.freq))\\n\\n if isinstance(df, list):\\n df = (pd.DataFrame(df, columns=[self._target_index, self._target_metric]).set_index(self._target_index))\\n\\n if not self.freq:\\n if streaming and len(df) > 1:\\n freq = (pd.DatetimeIndex(df.index[1:]) - pd.DatetimeIndex(df.index[:-1])).value_counts().index[0]\\n else:\\n freq = self.freq\\n\\n freq_delta = pd.Timedelta(\\\"1\\\" + freq) if not any(char.isdigit() for char in str(freq)) else pd.Timedelta(freq)\\n df.index = pd.DatetimeIndex(df.index)\\n df = self.add_missing_index(df=df, freq=freq_delta)\\n\\n if not streaming:\\n df = df.iloc[-min(max_ts_length, len(df)):]\\n df = self._truncate_by_data_gaps(df=df, target_metric=target_metric)\\n\\n if not streaming and len(df) < min_ts_length:\\n raise ValueError(\\\"The training data observed continuous missing data near the end. Require more stable \\\"\\n \\\"data to train\\\")\\n\\n if streaming and 'impute_zero' in kwargs and kwargs['impute_zero']:\\n df = df.fillna(0)\\n else:\\n df = self._kalman_smoothing_imputation(df=df, target_metric=target_metric, imputed_metric=imputed_metric,\\n impute_only=impute_only)\\n\\n if streaming:\\n return df, freq\\n else:\\n return df\",\n \"def create_data_frame(valid_size=0.2):\\n # train data and valid data\\n train_data = read_csv('data/train.csv')\\n train_label = train_data['Survived']\\n train_data.drop(axis=1, labels='Survived', inplace=True)\\n train_data, valid_data, train_label, valid_label = train_test_split(\\n train_data, train_label, test_size=valid_size\\n )\\n # test data\\n test_data = read_csv('data/test.csv')\\n return train_data, train_label, valid_data, valid_label, test_data\",\n \"def create_dataset(n_series=51, samples_per_series=1001, save_to_disk=True):\\n delta_t = 0.01\\n x0_in = np.random.random((n_series//2))\\n x0_out = np.random.random((n_series-n_series//2)) + np.pi - 1\\n x0 = np.concatenate([x0_in, x0_out])\\n msd = MassSpringDamper(x=x0, x_dt=tf.zeros_like(x0)) # compute all trajectories at once\\n with tf.device('/gpu:0'):\\n x_train = msd.step(dt=(samples_per_series-1)*delta_t, n_steps=samples_per_series)\\n y_train = np.array(msd.call(0., x_train))\\n x_train = np.transpose(x_train, [1, 0, 2])\\n y_train = np.transpose(y_train, [1, 0, 2])\\n\\n x_val = []\\n y_val = []\\n msd = MassSpringDamper(x=5., x_dt=0.5)\\n with tf.device('/gpu:0'):\\n x_val.append(msd.step(dt=(samples_per_series-1)*delta_t, n_steps=samples_per_series))\\n y_val.append(np.array(msd.call(0., x_val[-1])))\\n msd = MassSpringDamper(x=1.5, x_dt=0.5)\\n with tf.device('/gpu:0'):\\n x_val.append(msd.step(dt=(samples_per_series-1)*delta_t, n_steps=samples_per_series))\\n y_val.append(np.array(msd.call(0., x_val[-1])))\\n x_val = np.stack(x_val)\\n y_val = np.stack(y_val)\\n\\n if save_to_disk:\\n np.save('experiments/datasets/mass_spring_damper_x_train.npy', x_train)\\n np.save('experiments/datasets/mass_spring_damper_y_train.npy', y_train)\\n np.save('experiments/datasets/mass_spring_damper_x_val.npy', x_val)\\n np.save('experiments/datasets/mass_spring_damper_y_val.npy', y_val)\\n return x_train, y_train, x_val, y_val\",\n \"def build_timeseries(mat, y_col_index):\\n # total number of time-series samples would be len(mat) - TIME_STEPS\\n dim_0 = mat.shape[0] - TIME_STEPS #determine number of inputs that have an output because you'll not have data timesteps forward once your index goes past len(mat.shape[0]) - TIME_STEPS\\n dim_1 = mat.shape[1] #number of columns in dataset\\n x = np.zeros((dim_0, TIME_STEPS, dim_1)) #create an array with dimensions of viable inputs, the time step, the cols in the dataset\\n y = np.zeros((dim_0,)) #create an array length of viable inputs\\n\\n for i in range(dim_0): #for each viable input\\n x[i] = mat[i:TIME_STEPS+i] #set the input array to a set of data the length of a timestep\\n y[i] = mat[TIME_STEPS+i, y_col_index] #set output array that correalates with inout array to that data located in the y_col_index of the data\\n #print(\\\"length of time-series i/o\\\",x.shape,y.shape)\\n return x, y\",\n \"def TimeSeries(*args, **kwargs):\\n if args or kwargs:\\n underride(kwargs, dtype=float)\\n series = pd.Series(*args, **kwargs)\\n else:\\n series = pd.Series([], dtype=float)\\n\\n series.index.name = 'Time'\\n if 'name' not in kwargs:\\n series.name = 'Quantity'\\n return series\",\n \"def transform(self, y=None):\\n\\n df = self.X.copy()\\n num_days = (\\n int(\\n np.timedelta64((max(df[\\\"date\\\"]) - min(df[\\\"date\\\"])), \\\"D\\\")\\n / np.timedelta64(1, \\\"D\\\")\\n )\\n + 1\\n )\\n start = pd.to_datetime(min(df[\\\"date\\\"]))\\n dates = [(start + np.timedelta64(i, \\\"D\\\")) for i in range(num_days)]\\n\\n seq = pd.DataFrame({\\\"dt_time\\\": dates, \\\"day_seq\\\": np.arange(num_days)})\\n seq[\\\"date\\\"] = seq[\\\"dt_time\\\"].dt.date\\n\\n df1 = df.join(seq.set_index(\\\"date\\\"), on=\\\"date\\\")\\n\\n df1[\\\"year\\\"] = df1[\\\"dt_time\\\"].dt.year\\n df1[\\\"month\\\"] = df1[\\\"dt_time\\\"].dt.month\\n df1[\\\"day\\\"] = df1[\\\"dt_time\\\"].dt.day\\n df1[\\\"day_of_week\\\"] = df1[\\\"dt_time\\\"].dt.weekday\\n df1[\\\"month_day\\\"] = df1[\\\"dt_time\\\"].dt.strftime(\\\"%m/%d\\\")\\n df1[\\\"month_weekday\\\"] = df1[\\\"dt_time\\\"].dt.strftime(\\\"%b_%a\\\")\\n df1[\\\"month\\\"] = df1[\\\"dt_time\\\"].dt.strftime(\\\"%m/%d\\\")\\n return df1\",\n \"def glass_pandas(self):\\n # pandas.set_option('display.width', 120)\\n # TODO timeit (git_implementation) vs (my_implementation)\\n # * df = pd.DataFrame(json.loads(r.text))\\n # * df = df.set_index('t')\\n # * df.index = pd.to_datetime(df.index, unit='s')\\n # * df = df.sort_index()\\n # * s = df.v\\n # * s.name = '_'.join(url.split('/')[-2:])\\n # * return s\\n # for elem in self.loaded:\\n # _metric, _data = elem[1]['_metrics'], elem[1]['_data']\\n # try:\\n # frame_keys = ['t'] + list(_data[0]['o'].keys())\\n # framed = pandas.DataFrame(\\n # data=[{k: (_data[iters]['t'] if k in 't' else _data[iters]['o'][k])\\n # for k in frame_keys} for iters in range(len(_data))],\\n # columns=frame_keys)\\n # except KeyError:\\n # framed = pandas.DataFrame(_data)\\n # framed.set_index('t', inplace=True)\\n # framed.index = pandas.to_datetime(\\n # framed.index.to_flat_index(), unit='s', infer_datetime_format=True)\\n # framed.sort_index(inplace=True)\\n # framed.name = _metric\\n # print(framed.name)\\n # print(framed)\",\n \"def load_dataset(as_wide=False, label_cols='data_id'):\\n df = pd.read_feather(FLOWER_PATH)\\n # BUG in dataset with duplicate values\\n df = df.drop_duplicates()\\n df.loc[:, 'reflectance'] = df['reflectance'].fillna(0)\\n df.loc[df['reflectance'] < 0, 'reflectance'] = 0\\n\\n if as_wide:\\n return pd.pivot_table(df, 'reflectance', 'wavelengths', label_cols).fillna(0)\\n\\n return df\",\n \"def initialize_feature_series(add_data):\\n series = add_data.copy()\\n for key in FEATURES_DURATION:\\n series[key] = 0.0\\n return series\",\n \"def _timeseries_to_dataframe_scenarios(timeseries, name):\\n width = timeseries.total_values_per_item()\\n # Column headers\\n columns = [\\n [name] * width,\\n [timeseries.instance_or_contract_dataframe_column_header()] * width,\\n timeseries.scenario_names\\n ]\\n # Convert a time series of (date, scenarios[])\\n df = pd.DataFrame.from_records(\\n (v.scenarios for v in timeseries.data),\\n columns=columns,\\n index=[v.date for v in timeseries],\\n )\\n df.index.name = 'date'\\n return df\",\n \"def slice_timeseries(n_slices,dataset):\\n\\n n,l=np.shape(dataset)\\n\\n X = np.reshape(dataset,(n*n_slices,l//n_slices))\\n\\n print('sliced data shape (nr. of slices, slice length):',np.shape(X))\\n print('#####################################')\\n \\n return X\",\n \"def _timeseries_to_dataframe_mean_and_scenarios(timeseries, name):\\n width = timeseries.total_values_per_item()\\n # Column headers\\n columns = [\\n [name] * width,\\n [timeseries.instance_or_contract_dataframe_column_header()] * width,\\n [''] + timeseries.scenario_names\\n ]\\n # Convert a time series of (date, scenarios[])\\n df = pd.DataFrame.from_records(\\n ((v.value, *v.scenarios) for v in timeseries.data),\\n columns=columns,\\n index=[v.date for v in timeseries],\\n )\\n df.index.name = 'date'\\n return df\",\n \"def fit(self, X, y):\\n if self.metric in TSLEARN_VALID_METRICS:\\n self._ts_metric = self.metric\\n self.metric = \\\"precomputed\\\"\\n\\n X = check_array(X,\\n allow_nd=True,\\n force_all_finite=(self.metric != \\\"precomputed\\\"))\\n X = to_time_series_dataset(X)\\n X = check_dims(X)\\n if self.metric == \\\"precomputed\\\" and hasattr(self, '_ts_metric'):\\n self._ts_fit = X\\n if self._ts_metric == 'sax':\\n if self.metric_params is not None:\\n self._ts_fit = self._sax_preprocess(X,\\n **self.metric_params)\\n else:\\n self._ts_fit = self._sax_preprocess(X)\\n\\n self._d = X.shape[2]\\n self._X_fit = numpy.zeros((self._ts_fit.shape[0],\\n self._ts_fit.shape[0]))\\n else:\\n self._X_fit, self._d = to_sklearn_dataset(X, return_dim=True)\\n super().fit(self._X_fit, y)\\n if hasattr(self, '_ts_metric'):\\n self.metric = self._ts_metric\\n return self\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.6862202","0.6632737","0.63935363","0.6334693","0.6085144","0.6066157","0.5989121","0.5984844","0.5874774","0.58342695","0.58256793","0.582205","0.581701","0.57913315","0.5782771","0.57459015","0.5725978","0.5696099","0.5673701","0.56698066","0.56486726","0.56133467","0.5612681","0.5607399","0.56017494","0.55931723","0.55826634","0.5577134","0.556195","0.5554582","0.55370295","0.55143136","0.55056965","0.54981357","0.5492293","0.5487652","0.5477023","0.547622","0.5471802","0.5464472","0.5460478","0.54476887","0.5439346","0.543889","0.5432356","0.5422199","0.54204386","0.53910685","0.53896236","0.5363456","0.53470606","0.5347045","0.5345187","0.5341046","0.534043","0.5330579","0.5318464","0.5298229","0.5296218","0.52939874","0.52825254","0.5272629","0.5268523","0.52660865","0.52570796","0.5256999","0.52507603","0.52448523","0.52424055","0.5227117","0.52174","0.52143234","0.5208828","0.52086234","0.52081907","0.5206039","0.52045953","0.51962984","0.5193164","0.5191673","0.5183461","0.51786816","0.51652163","0.5163406","0.51510316","0.5149296","0.5149205","0.51432806","0.5137682","0.51353025","0.51350623","0.51344717","0.5132862","0.5132754","0.5132149","0.5131969","0.51283133","0.51196235","0.5113537","0.51105165"],"string":"[\n \"0.6862202\",\n \"0.6632737\",\n \"0.63935363\",\n \"0.6334693\",\n \"0.6085144\",\n \"0.6066157\",\n \"0.5989121\",\n \"0.5984844\",\n \"0.5874774\",\n \"0.58342695\",\n \"0.58256793\",\n \"0.582205\",\n \"0.581701\",\n \"0.57913315\",\n \"0.5782771\",\n \"0.57459015\",\n \"0.5725978\",\n \"0.5696099\",\n \"0.5673701\",\n \"0.56698066\",\n \"0.56486726\",\n \"0.56133467\",\n \"0.5612681\",\n \"0.5607399\",\n \"0.56017494\",\n \"0.55931723\",\n \"0.55826634\",\n \"0.5577134\",\n \"0.556195\",\n \"0.5554582\",\n \"0.55370295\",\n \"0.55143136\",\n \"0.55056965\",\n \"0.54981357\",\n \"0.5492293\",\n \"0.5487652\",\n \"0.5477023\",\n \"0.547622\",\n \"0.5471802\",\n \"0.5464472\",\n \"0.5460478\",\n \"0.54476887\",\n \"0.5439346\",\n \"0.543889\",\n \"0.5432356\",\n \"0.5422199\",\n \"0.54204386\",\n \"0.53910685\",\n \"0.53896236\",\n \"0.5363456\",\n \"0.53470606\",\n \"0.5347045\",\n \"0.5345187\",\n \"0.5341046\",\n \"0.534043\",\n \"0.5330579\",\n \"0.5318464\",\n \"0.5298229\",\n \"0.5296218\",\n \"0.52939874\",\n \"0.52825254\",\n \"0.5272629\",\n \"0.5268523\",\n \"0.52660865\",\n \"0.52570796\",\n \"0.5256999\",\n \"0.52507603\",\n \"0.52448523\",\n \"0.52424055\",\n \"0.5227117\",\n \"0.52174\",\n \"0.52143234\",\n \"0.5208828\",\n \"0.52086234\",\n \"0.52081907\",\n \"0.5206039\",\n \"0.52045953\",\n \"0.51962984\",\n \"0.5193164\",\n \"0.5191673\",\n \"0.5183461\",\n \"0.51786816\",\n \"0.51652163\",\n \"0.5163406\",\n \"0.51510316\",\n \"0.5149296\",\n \"0.5149205\",\n \"0.51432806\",\n \"0.5137682\",\n \"0.51353025\",\n \"0.51350623\",\n \"0.51344717\",\n \"0.5132862\",\n \"0.5132754\",\n \"0.5132149\",\n \"0.5131969\",\n \"0.51283133\",\n \"0.51196235\",\n \"0.5113537\",\n \"0.51105165\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.5799269"},"document_rank":{"kind":"string","value":"13"}}},{"rowIdx":86790,"cells":{"query":{"kind":"string","value":"Quantify the rhythmicity of an oscillation using lagged coherence."},"document":{"kind":"string","value":"def lagged_coherence(sig, f_range, fs, n_cycles=3, f_step=1, return_spectrum=False):\n\n # Identify Fourier components of interest\n freqs = np.arange(f_range[0], f_range[1] + f_step, f_step)\n\n # Calculate lagged coherence for each frequency\n lc = np.zeros(len(freqs))\n for ind, freq in enumerate(freqs):\n lc[ind] = _lagged_coherence_1freq(sig, freq, fs, n_cycles=n_cycles)\n\n # Return desired measure of lagged coherence\n if return_spectrum:\n return lc, freqs\n else:\n return np.mean(lc)"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def _calculate_strehl(self):\n\n self.strehl = np.exp(-1*((2*np.pi/self.science_wavelength)*self.high_order_wfe)**2)","def rochelobe(q):\n return 0.49*q**(2./3)/(0.6*q**(2./3) + log(1+q**(1./3)))","def soundspeed(temp,pres):\n g_p = liq_g(0,1,temp,pres)\n g_tt = liq_g(2,0,temp,pres)\n g_tp = liq_g(1,1,temp,pres)\n g_pp = liq_g(0,2,temp,pres)\n csqinv = (g_tp**2/g_tt - g_pp) / g_p**2\n c = csqinv**(-.5)\n return c","def _Q(self, chi, eta, L):\n return self.r**2 * chi**2 * np.cos(eta)**2 + L**2 / np.tan(self.theta)**2","def Q_stock(self):\n return self._Q_sys * (self._C_sys / self._C_stock).to(u.dimensionless)","def upsilon_rho( self ) :\n from GaudiConfUtils.ConfigurableGenerators import DaVinci__N3BodyDecays \n #\n return self.make_selection (\n 'Y&pipi' ,\n DaVinci__N3BodyDecays ,\n [ self.upsilons() , self.pions() ] ,\n ## algorithm properties \n DecayDescriptor = \" Upsilon(4S) -> J/psi(1S) pi+ pi-\" ,\n Combination12Cut = \"\"\"\n ( AM < 15 * GeV ) &\n ( ACHI2DOCA(1,2) < 16 )\n \"\"\" ,\n CombinationCut = \"\"\"\n ( AM < 15 * GeV ) &\n ( AM23 < 1050 * MeV ) & \n ( ( AM - AM1 - AM23 ) < 2.5 * GeV ) &\n ( ACHI2DOCA(1,3) < 16 ) &\n ( ACHI2DOCA(2,3) < 16 )\n \"\"\" ,\n MotherCut = \" chi2vxndf< 10 \" ,\n )","def __init__(self, trap=2.5*10**16, Keq=1.0*10**17,\n EHdecay=1.0*10**-10, Etrap=2.0*10**-10, FHloss=8.0*10**-12,\n G3decay = 0, step=200*ps, pretime=2, reprate=80000000,\n verbose=False, trackQ=False, scalar=1, Gdecay=0, GHdecay=0,\n tolerance=0.005, G2decay=0. ,Gescape=1., Gform=1., G3loss=0.):\n # Some other variables used\n self.tolerance = tolerance\n self.scalar = scalar\n self.verbose = verbose\n self.reprate = reprate\n self.duration = 1.00 / reprate\n self.step = step\n self.steps = int(self.duration / self.step)\n self.powers = []\n self.pretime = pretime\n # Variables which hold state densities\n self.exciton = []\n self.hole = []\n self.electron = []\n self.trap = (trap) # Total number of traps\n self.filled = [] # Filled traps\n self.signal = []\n self.xsignal = []\n self.ehsignal = []\n self.xloss = []\n self.tloss = []\n self.pulses = []\n self.qk = []\n self.trackQ = trackQ\n # Rate and equilibrium constants, corrected for time step size\n self.Keq = Gescape/Gform # Equilibrium constant for X<-->e+h\n self.EHdecay = (EHdecay * step) # e+h->ground\n self.Etrap = (Etrap * step) # e+trap->filled\n self.FHloss = (FHloss * step) # filled+h->ground\n self.Gdecay = Gdecay * step\n self.G2decay = G2decay * step\n self.G3decay = G3decay * step\n self.GHdecay = GHdecay * step\n self.Gescape = Gescape * step\n self.G3loss = G3loss * step\n self.Gform = Gform * step","def sound_horizon_EH(self):\n om_m = self.omega_cb\n om_b = self.omega_b\n om_n = np.sum(self.omega_nu)\n h = self.h \n if self.M_nu_tot == 0.: rs = 44.5*np.log(9.83/om_m)/np.sqrt(1+10*om_b**0.75)*h\n else: rs = 55.154*np.exp(-72.3*(om_n+0.0006)**2.)/(om_m**0.25351*om_b**0.12807)*h\n return rs","def signal_as(self, temperature, x_mol=None, nu_s=None, pump_lw=None,\n synth_mode=None, eq_func=eq_comp, **kwargs):\n if synth_mode is None:\n self.synth_mode = {'pump_ls': 'Gaussian',\n 'chi_rs': 'G-matrix',\n 'convol': 'Kataoka',\n 'doppler_effect': False,\n 'chem_eq': False,\n }\n else:\n self.synth_mode = synth_mode\n\n if x_mol is None:\n x_mol = self.init_comp[self.ls_factors.species]\n\n if self.synth_mode['chem_eq']:\n gas_comp = eq_func(temperature, self.pressure, self.init_comp)\n gas_comp = comp_normalize(gas_comp)\n N_species = gas_comp[\n self.ls_factors.species]*self.num_dens(temperature)\n chi_nrs = self.chi_nrs_est(temperature, local_comp=gas_comp)*1e-18\n self.local_comp = gas_comp\n else:\n # Species number density\n N_species = x_mol*self.num_dens(temperature)\n # Estimated nonresonant contribution based on given gas composition\n chi_nrs = self.chi_nrs_est(temperature)*1e-18\n\n # Specify the spectral domain\n if nu_s is None:\n # Ideally the grid should be much finer to correctly cover the\n # high-J transitions\n nu_s = np.linspace(2260, 2345, num=10000)\n\n # Compute the resonant contribution\n if self.synth_mode['chi_rs'] == 'isolated':\n chi_rs = self.chi_rs_isolated(nu_s, temperature, **kwargs)\n elif self.synth_mode['chi_rs'] == 'G-matrix':\n chi_rs = self.chi_rs_gmat(nu_s, temperature, **kwargs)\n else:\n raise ValueError(\"Unknown method. Only 'isolated' or 'G-matrix' \"\n \"are available\")\n\n # Compute the signal without pump laser convolution\n chi = (N_species*chi_rs + chi_nrs)*1e15\n\n # Consider Doppler broadening\n if self.synth_mode['doppler_effect']:\n _lw = self.ls_factors.doppler_lw(temperature)\n _ls = gaussian_line(nu_s, (nu_s[0]+nu_s[-1])/2, _lw)\n\n chi = np.convolve(chi, _ls, 'same')\n\n I_as = np.abs(chi)**2\n\n # Convolution with pump laser profile\n if pump_lw is not None:\n pump = []\n # Compute the pump laser line\n if self.synth_mode['pump_ls'] == 'Gaussian':\n pump = gaussian_line(nu_s, (nu_s[0]+nu_s[-1])/2, pump_lw)\n elif self.synth_mode['pump_ls'] == 'Lorentzian':\n pump = lorentz_line(nu_s, (nu_s[0]+nu_s[-1])/2, pump_lw)\n\n # Compute the convolution with Yuratich method (one convolution)\n if self.synth_mode['convol'] in ('Yuratich', 'Kataoka', 'Y', 'K'):\n I_as = np.convolve(I_as, pump, 'same')\n\n # Compute the convolution with Kataoka method (two convolutions)\n if self.synth_mode['convol'] in ('Kataoka', 'K'):\n chi_convol = np.convolve(chi, pump, 'same')\n # A correction factor is needed for the convolve(A)**2 v.s.\n # convolve(A**2)\n _corr = nu_s[1] - nu_s[0]\n I_as = 1/2*(I_as + _corr*np.abs(chi_convol)**2)\n\n return nu_s, I_as","def func(y, t, N_osc, omg, epsilon):\n y_help = zeros((N_osc)) # sum over sines\n for i in arange(N_osc): \n y_help[i] = sum(sin(y-y[i]))\n return (omg + epsilon*y_help/N_osc)","def test_double_ended_ols_wls_fix_gamma_estimate_synthetic():\n from dtscalibration import DataStore\n import numpy as np\n\n np.random.seed(0)\n\n cable_len = 100.\n nt = 500\n time = np.arange(nt)\n x = np.linspace(0., cable_len, 100)\n ts_cold = np.ones(nt) * 4.\n ts_warm = np.ones(nt) * 20.\n\n C_p = 15246\n C_m = 2400.\n dalpha_r = 0.0005284\n dalpha_m = 0.0004961\n dalpha_p = 0.0005607\n gamma = 482.6\n cold_mask = x < 0.5 * cable_len\n warm_mask = np.invert(cold_mask) # == False\n temp_real = np.ones((len(x), nt))\n temp_real[cold_mask] *= ts_cold + 273.15\n temp_real[warm_mask] *= ts_warm + 273.15\n\n st = C_p * np.exp(-dalpha_r * x[:, None]) * \\\n np.exp(-dalpha_p * x[:, None]) * np.exp(gamma / temp_real) / \\\n (np.exp(-gamma / temp_real) - 1)\n ast = C_m * np.exp(-dalpha_r * x[:, None]) * \\\n np.exp(-dalpha_m * x[:, None]) / (np.exp(-gamma / temp_real) - 1)\n rst = C_p * np.exp(-dalpha_r * (-x[:, None] + cable_len)) * \\\n np.exp(-dalpha_p * (-x[:, None] + cable_len)) * \\\n np.exp(gamma / temp_real) / (np.exp(-gamma / temp_real) - 1)\n rast = C_m * np.exp(-dalpha_r * (-x[:, None] + cable_len)) * np.exp(\n -dalpha_m * (-x[:, None] + cable_len)) / \\\n (np.exp(-gamma / temp_real) - 1)\n\n alpha = np.mean(np.log(rst / rast) - np.log(st / ast), axis=1) / 2\n\n ds = DataStore({\n 'st': (['x', 'time'], st),\n 'ast': (['x', 'time'], ast),\n 'rst': (['x', 'time'], rst),\n 'rast': (['x', 'time'], rast),\n 'userAcquisitionTimeFW': (['time'], np.ones(nt)),\n 'userAcquisitionTimeBW': (['time'], np.ones(nt)),\n 'cold': (['time'], ts_cold),\n 'warm': (['time'], ts_warm)\n },\n coords={\n 'x': x,\n 'time': time},\n attrs={\n 'isDoubleEnded': '1'})\n\n sections = {\n 'cold': [slice(0., 0.5 * cable_len)],\n 'warm': [slice(0.5 * cable_len, cable_len)]}\n\n # OLS\n ds.calibration_double_ended(sections=sections,\n st_label='st',\n ast_label='ast',\n rst_label='rst',\n rast_label='rast',\n method='ols',\n solver='sparse',\n fix_gamma=(gamma, 0.))\n\n np.testing.assert_almost_equal(\n ds.gamma.values, gamma, decimal=6)\n np.testing.assert_almost_equal(\n ds.alpha.values, alpha, decimal=8)\n np.testing.assert_almost_equal(\n ds.TMPF.values, temp_real - 273.15, decimal=4)\n np.testing.assert_almost_equal(\n ds.TMPB.values, temp_real - 273.15, decimal=4)\n np.testing.assert_almost_equal(\n ds.TMPW.values, temp_real - 273.15, decimal=4)\n\n # WLS\n ds.calibration_double_ended(sections=sections,\n st_label='st',\n ast_label='ast',\n rst_label='rst',\n rast_label='rast',\n st_var=1e-7,\n ast_var=1e-7,\n rst_var=1e-7,\n rast_var=1e-7,\n method='wls',\n solver='sparse',\n tmpw_mc_size=5,\n fix_gamma=(gamma, 0.))\n\n np.testing.assert_almost_equal(\n ds.gamma.values, gamma, decimal=6)\n np.testing.assert_almost_equal(\n ds.alpha.values, alpha, decimal=7)\n np.testing.assert_almost_equal(\n ds.TMPF.values, temp_real - 273.15, decimal=4)\n np.testing.assert_almost_equal(\n ds.TMPB.values, temp_real - 273.15, decimal=4)\n np.testing.assert_almost_equal(\n ds.TMPW.values, temp_real - 273.15, decimal=4)\n\n pass","def q_(w,R,lam=1064.0e-9):\n\n if R!=np.inf:\n q=np.pi*w**2*R/(np.pi*w**2-1j*R*lam)\n else:\n q=1j*np.pi*w**2/lam\n\n return q","def calculate_Q(self):\n if self.__delta_time is Timestamp.QUARTERS:\n q = 96\n elif self.__delta_time is Timestamp.HOURS:\n q = 24\n else:\n q = 1\n return q","def unphysical_riemann_solution(q_l,q_r):\n f = lambda q: 0.5*q*q\n states = np.array([[q_l, q_r]])\n # Shock wave or expansion shock wave\n shock_speed = (f(q_l)-f(q_r))/(q_l-q_r)\n speeds = [shock_speed]\n wave_types = ['shock']\n def reval(xi):\n q = np.zeros((1,len(xi)))\n q[0,:] = (xi < shock_speed)*q_l \\\n + (xi >=shock_speed)*q_r\n return q\n\n return states, speeds, reval, wave_types","def q_2_rh(temp, pressure, qair):\n mr = qair / (1-qair)\n e = mr * pressure / (0.62197 + mr)\n # convert temperature to saturated vapor pressure\n es = 611.2 * np.exp(17.67 * (temp - 273.15) / (temp - 29.65))\n rh = e / es\n rh[rh > 1] = 1\n rh[rh < 0] = 0\n return rh","def get_experimental_spectra(mol):\n\n data = pd.read_csv(mol, sep=',')\n wavelength = data.values[:, 0]\n\n absorption = data.values[:, 1]\n\n func = interp1d(wavelength, absorption, kind='quadratic')\n wavelength_new = 1. / np.linspace(1. / wavelength.max(), 1. / wavelength.min(), 100)\n absorption_new = func(wavelength_new)\n absorption_new *= 100. / absorption_new.max()\n\n return wavelength_new, absorption_new","def simulate_quantities_of_interest_superoperator(tlist, c_ops, noise_parameters_CZ, fluxlutman,\n fluxbias_q1, amp,\n sim_step,\n verbose: bool=True):\n\n H_0=calc_hamiltonian(0,fluxlutman,noise_parameters_CZ) # computed at 0 amplitude\n # NOTE: parameters of H_0 could be not exactly e.g. the bare frequencies\n\n # We change the basis from the standard basis to the basis of eigenvectors of H_0\n # The columns of S are the eigenvectors of H_0, appropriately ordered\n if noise_parameters_CZ.dressed_compsub():\n S = qtp.Qobj(matrix_change_of_variables(H_0),dims=[[3, 3], [3, 3]])\n else:\n S = qtp.tensor(qtp.qeye(3),qtp.qeye(3)) # line here to quickly switch off the use of S\n H_0_diag = S.dag()*H_0*S\n\n #w_q0 = fluxlutman.q_freq_01()\n w_q0 = (H_0_diag[1,1]-H_0_diag[0,0]) / (2*np.pi)\n #w_q1 = fluxlutman.q_freq_10()\n w_q1 = (H_0_diag[3,3]-H_0_diag[0,0]) / (2*np.pi)\n\n # H_rotateaway = coupled_transmons_hamiltonian_new(w_q0=w_q0, w_q1=w_q1, \n # alpha_q0=-2*w_q0, alpha_q1=-2*w_q1, J=0)\n\n w_q1_sweetspot = noise_parameters_CZ.w_q1_sweetspot()\n # Correction up to second order of the frequency due to flux noise, computed from w_q0(phi) = w_q0^sweetspot * sqrt(cos(pi * phi/phi_0))\n w_q1_biased = w_q1 - np.pi/2 * (w_q1_sweetspot**2/w_q1) * np.sqrt(1 - (w_q1**4/w_q1_sweetspot**4)) * fluxbias_q1 - \\\n - np.pi**2/2 * w_q1_sweetspot * (1+(w_q1**4/w_q1_sweetspot**4)) / (w_q1/w_q1_sweetspot)**3 * fluxbias_q1**2\n # with sigma up to circa 1e-3 \\mu\\Phi_0 the second order is irrelevant\n correction_to_H = coupled_transmons_hamiltonian_new(w_q0=0, w_q1=np.real(w_q1_biased-w_q1), alpha_q0=0, alpha_q1=0, J=0)\n\n\n t0 = time.time()\n\n exp_L_total=1\n for i in range(len(amp)):\n H=calc_hamiltonian(amp[i],fluxlutman,noise_parameters_CZ) + correction_to_H\n H=S.dag()*H*S\n if c_ops != []:\n c_ops_temp=[]\n for c in range(len(c_ops)):\n if isinstance(c_ops[c],list):\n c_ops_temp.append(c_ops[c][0]*c_ops[c][1][i]) # c_ops are already in the H_0 basis\n else:\n c_ops_temp.append(c_ops[c])\n liouville_exp_t=(qtp.liouvillian(H,c_ops_temp)*sim_step).expm()\n else:\n liouville_exp_t=(-1j*H*sim_step).expm()\n exp_L_total=liouville_exp_t*exp_L_total\n\n t1 = time.time()\n #print('\\n alternative propagator',t1-t0)\n\n\n U_final = exp_L_total\n #U_final=rotating_frame_transformation_new(U_final, fluxlutman.cz_length(), H_0_diag)\n\n phases = phases_from_superoperator(U_final) # order is phi_00, phi_01, phi_10, phi_11, phi_02, phi_20, phi_cond\n phi_cond = phases[-1]\n L1 = leakage_from_superoperator(U_final)\n population_02_state = calc_population_02_state(U_final)\n L2 = seepage_from_superoperator(U_final)\n avgatefid = pro_avfid_superoperator_phasecorrected(U_final,phases)\n avgatefid_compsubspace = pro_avfid_superoperator_compsubspace_phasecorrected(U_final,L1,phases) # leakage has to be taken into account, see Woods & Gambetta\n #print('avgatefid_compsubspace',avgatefid_compsubspace)\n\n \n \n #H_twoqubits = coupled_transmons_hamiltonian_new(w_q0=w_q0, w_q1=w_q1, \n # alpha_q0=-2*w_q0, alpha_q1=-2*w_q1, J=0)\n #U_final_new = rotating_frame_transformation_new(U_final, fluxlutman.cz_length(), H_twoqubits) ### old method rotating away also the phase of the |2> state\n\n t = tlist[-1]+sim_step\n U_final_new = correct_reference(U=U_final,w_q1=w_q1,w_q0=w_q0,t=t)\n\n ### Script to check that we are correctly removing the single qubit phases in the rotating frame\n # cz_length = fluxlutman.cz_length()\n # U_check = (1j*H_twoqubits*cz_length).expm() * (-1j*H_0_diag*cz_length).expm()\n # phases_check = phases_from_superoperator(U_check)\n # print(phases_check)\n\n \n avgatefid_compsubspace_notphasecorrected = pro_avfid_superoperator_compsubspace(U_final_new,L1)\n # NOTE: a single qubit phase off by 30 degrees costs 5.5% fidelity\n\n ### Script to check that leakage and phi_cond are not affected by the phase correction, as it should be\n # L1_bis = leakage_from_superoperator(U_final_new)\n # phi_cond_bis = phases_from_superoperator(U_final_new)[-1]\n # print('leakage',L1-L1_bis)\n # print('phi_cond',phi_cond-phi_cond_bis)\n\n phases = phases_from_superoperator(U_final_new) # order is phi_00, phi_01, phi_10, phi_11, phi_02, phi_20, phi_cond\n phase_q0 = (phases[1]-phases[0]) % 360\n phase_q1 = (phases[2]-phases[0]) % 360\n\n\n # We now correct only for the phase of qubit left (q1), in the rotating frame\n avgatefid_compsubspace_pc_onlystaticqubit = pro_avfid_superoperator_compsubspace_phasecorrected_onlystaticqubit(U_final_new,L1,phases)\n \n\n return {'phi_cond': phi_cond, 'L1': L1, 'L2': L2, 'avgatefid_pc': avgatefid,\n 'avgatefid_compsubspace_pc': avgatefid_compsubspace, 'phase_q0': phase_q0, 'phase_q1': phase_q1,\n 'avgatefid_compsubspace': avgatefid_compsubspace_notphasecorrected,\n 'avgatefid_compsubspace_pc_onlystaticqubit': avgatefid_compsubspace_pc_onlystaticqubit, 'population_02_state': population_02_state,\n 'U_final_new': U_final_new}","def Iq(q, lorentz_scale, porod_scale, cor_length, porod_exp, lorentz_exp):\n with errstate(divide='ignore'):\n porod = porod_scale / q**porod_exp\n lorentz = lorentz_scale / (1.0 + (q * cor_length)**lorentz_exp)\n inten = porod + lorentz\n return inten","def hum(self, lai, tl, psi_l, qa):\n\t return max((1./((1./(self.GA*1000.))+(1./(self.GH*1000.))))*lai*1000.*RHO_A/RHO_W*(qa-self.qi(tl, psi_l)), 0.)","def seriesResistance(self):\n return 13.38 * math.pow(self.concentration, -0.8397)","def compute_hcqt(audio_fpath):\n (bins_per_octave, n_octaves, harmonics,\n sr, f_min, hop_length) = get_hcqt_params()\n y, fs = librosa.load(audio_fpath, sr=sr)\n\n cqt_list = []\n shapes = []\n for h in harmonics:\n cqt = librosa.cqt(\n y, sr=fs, hop_length=hop_length, fmin=f_min*float(h),\n n_bins=bins_per_octave*n_octaves,\n bins_per_octave=bins_per_octave\n )\n cqt_list.append(cqt)\n shapes.append(cqt.shape)\n\n shapes_equal = [s == shapes[0] for s in shapes]\n if not all(shapes_equal):\n min_time = np.min([s[1] for s in shapes])\n new_cqt_list = []\n for i in range(len(cqt_list)):\n new_cqt_list.append(cqt_list[i][:, :min_time])\n cqt_list = new_cqt_list\n\n log_hcqt = ((1.0/80.0) * librosa.core.amplitude_to_db(\n np.abs(np.array(cqt_list)), ref=np.max)) + 1.0\n\n return log_hcqt","def helmholtzenergy(temp,pres):\n g = liq_g(0,0,temp,pres)\n g_p = liq_g(0,1,temp,pres)\n f = g - pres*g_p\n return f","def explorentzian(mu, wid, timeconstant, x): \n g = lorentzian( mu, wid, x )\n \n hly = np.round( len(g) / 2.0 )\n ey = np.r_[np.zeros(hly),g,np.zeros(hly)]\n fy = np.fft.fft(ey)\n a = np.exp(-(np.arange(len(fy))) / timeconstant )\n fa = np.fft.fft(a)\n fy1 = fy * fa\n ybz = np.real(np.fft.ifft(fy1)) / np.sum(a)\n yb = ybz[hly:len(ybz)-hly]\n \n return yb","def signal_rsi(self):\n pass","def _q_x(self):\n lambda_r = self.latt_par['lambda_r'].value \n return 2*np.pi*self.k/lambda_r","def Lq(self):\n if not self.isVaild():\n pass\n temp = ((self.r()**self.C)*self.Rho()) / \\\n (math.factorial(self.C)*((1 - self.Rho())**2))\n return temp*self.P0()","def solve_linear_harmonic_oscillator(t, initial_ampl, initial_velocity, resonance_freq, damping = 0.0, drive_ampl = 0.0, drive_ang_freq = 0.0):\n\n\n x = initial_ampl\n p = initial_velocity\n y0 = [initial_ampl, initial_velocity]\n y1 = odeint(dy, y0, t, args=(damping, resonance_freq, drive_ampl, drive_ang_freq)) # under damped\n return y1[:,0], y1[:,1]","def logistic_equation(conc,drugless_rate,ic50,hc=-0.6824968):\n \n # conc = conc/10**6\n f = drugless_rate/(1+np.exp((ic50-np.log10(conc))/hc))\n \n return f","def quantify_cf(lags, cf, plot=False):\n\n # identify the peak magnitude\n abs_cf = np.abs(cf)\n peak_magnitude = abs_cf.max()\n\n # identify the peak delay\n imax = abs_cf.argmax()\n peak_delay = lags[imax]\n\n # compute the area under the curve\n dt = np.diff(lags).max()\n cf_width = abs_cf.sum()*dt\n\n # compute the skewdness\n p = abs_cf / abs_cf.sum()\n mean = np.sum(lags*p)\n std = np.sqrt(np.sum(p*(abs_cf - mean)**2))\n skew = np.sum(p*(abs_cf - mean)**3) / std**3\n\n # compute the left and right areas under the absolute curve\n max_width = abs_cf[lags != 0].sum()*dt\n right_width = abs_cf[lags > 0].sum()*dt\n left_width = abs_cf[lags < 0].sum()*dt\n\n # create a measure of anisotropy from the AUCs\n anisotropy = (right_width - left_width) / max_width\n \n li = lags < 0\n ri = lags > 0\n\n # determine the mean lag time, i.e. the lag \"center of mass\". do this for each half\n cfl = np.abs(cf[li]) / np.abs(cf[li]).sum()\n left_lag = np.sum(cfl*lags[li])\n cfr = np.abs(cf[ri]) / np.abs(cf[ri]).sum()\n right_lag = np.sum(cfr*lags[ri])\n\n # integrate the right and left sides independently\n dl = np.diff(lags).max()\n left_sum = cf[li].sum()*dl\n right_sum = cf[ri].sum()*dl\n\n # take the correlation coefficient at zero lag\n cc = cf[lags == 0][0]\n\n if plot:\n plt.figure()\n plt.axhline(0, c='k')\n plt.plot(lags, cf, 'r-', linewidth=3)\n plt.axvline(peak_delay, c='g', alpha=0.75)\n plt.ylim(-1, 1)\n plt.axis('tight')\n t = 'width=%0.1f, mean=%0.1f, std=%0.1f, skew=%0.1f, anisotropy=%0.2f' % (cf_width, mean, std, skew, anisotropy)\n plt.title(t)\n plt.show()\n\n return {'magnitude':peak_magnitude, 'delay':peak_delay, 'width':cf_width,\n 'mean':mean, 'std':std, 'skew':skew, 'anisotropy':anisotropy,\n 'left_lag':left_lag, 'right_lag':right_lag, 'left_sum':left_sum, 'right_sum':right_sum, 'cc':cc}","def periodicity_metric(light_curve_rms, sm_phase_rms):\n return (sm_phase_rms ** 2) / (light_curve_rms ** 2)","def test_single_ended_ols_wls_fix_gamma_synthetic():\n\n from dtscalibration import DataStore\n import numpy as np\n\n np.random.seed(0)\n\n cable_len = 100.\n nt = 50\n time = np.arange(nt)\n x = np.linspace(0., cable_len, 500)\n ts_cold = np.ones(nt) * 4.\n ts_warm = np.ones(nt) * 20.\n\n C_p = 15246\n C_m = 2400.\n dalpha_r = 0.0005284\n dalpha_m = 0.0004961\n dalpha_p = 0.0005607\n gamma = 482.6\n cold_mask = x < 0.5 * cable_len\n warm_mask = np.invert(cold_mask) # == False\n temp_real = np.ones((len(x), nt))\n temp_real[cold_mask] *= ts_cold + 273.15\n temp_real[warm_mask] *= ts_warm + 273.15\n\n st = C_p * np.exp(-dalpha_r * x[:, None]) * \\\n np.exp(-dalpha_p * x[:, None]) * \\\n np.exp(gamma / temp_real) / (np.exp(gamma / temp_real) - 1)\n ast = C_m * np.exp(-dalpha_r * x[:, None]) * \\\n np.exp(-dalpha_m * x[:, None]) / (np.exp(gamma / temp_real) - 1)\n\n print('alphaint', cable_len * (dalpha_p - dalpha_m))\n print('alpha', dalpha_p - dalpha_m)\n print('C', np.log(C_p / C_m))\n print('x0', x.max())\n\n ds = DataStore({\n 'st': (['x', 'time'], st),\n 'ast': (['x', 'time'], ast),\n 'userAcquisitionTimeFW': (['time'], np.ones(nt)),\n 'cold': (['time'], ts_cold),\n 'warm': (['time'], ts_warm)\n },\n coords={\n 'x': x,\n 'time': time},\n attrs={\n 'isDoubleEnded': '0'})\n\n sections = {\n 'cold': [slice(0., 0.5 * cable_len)],\n 'warm': [slice(0.5 * cable_len, cable_len)]}\n\n # OLS\n ds.calibration_single_ended(sections=sections,\n st_label='st',\n ast_label='ast',\n method='ols',\n solver='sparse',\n fix_gamma=(gamma, 0.))\n\n np.testing.assert_almost_equal(\n ds.gamma.values, gamma, decimal=6)\n np.testing.assert_almost_equal(\n ds.dalpha.values, dalpha_p - dalpha_m, decimal=8)\n np.testing.assert_almost_equal(\n ds.TMPF.values, temp_real - 273.15, decimal=4)\n\n # WLS\n ds.calibration_single_ended(sections=sections,\n st_label='st',\n ast_label='ast',\n st_var=1.,\n ast_var=1.,\n method='wls',\n solver='sparse',\n fix_gamma=(gamma, 0.))\n\n np.testing.assert_almost_equal(\n ds.gamma.values, gamma, decimal=6)\n np.testing.assert_almost_equal(\n ds.dalpha.values, dalpha_p - dalpha_m, decimal=8)\n np.testing.assert_almost_equal(\n ds.TMPF.values, temp_real - 273.15, decimal=4)\n\n pass","def rho(flag, S, K, t, r, sigma, q):\n\n b = r-q\n\n return numerical_rho(flag, S, K, t, r, sigma, b, f)","def prior_rho(store):\n if store['rho'] > 0. and store['rho'] < 1.0:\n alpha = 1.0\n beta = 1.0\n return (alpha - 1.) * log(store['rho']) + (beta - 1.) * \\\n log(1.-store['rho'])\n else:\n return -1E256","def effective_order_condition_residuals(self,q):\n from sympy import factorial,Rational\n A,b,c=self.A,self.b,self.c\n C=snp.diag(c)\n code=runge_kutta_order_conditions(q)\n tau=snp.zeros([q,len(self)])\n for j in range(1,q):\n tau[j,:]=(c**j/j-np.dot(A,c**(j-1)))/factorial(j-1)\n if q<=2:\n z=snp.zeros(len(code)+1)\n z[-1]=np.dot(b,c**(q-1))-Rational(1,q)\n if q==3:\n z=snp.zeros(len(code))\n exec('z[0]='+code[0]+'-'+'np.dot(b,c**2)/2.+1/6.')\n if q==4:\n code2=runge_kutta_order_conditions(q-1)\n z=snp.zeros(len(code)-1)\n exec('z[0]='+code[1]+'-'+'np.dot(b,np.dot(A,c**2))/2.+1/24.')\n exec('z[1]='+code2[0]+'-'+code[1]+'-'+code[2])\n if q>4:\n raise NotImplementedError\n return z","def post_rho(store):\n return loglike(store) + prior_rho(store)","def qrst_tm(x):\n return 0.2228*x - 0.6685","def set_initial_condition(self):\n X0 = np.array([0.5, 0.5])\n XB = self.bary\n q0 = 1 + np.exp(-0.5*(np.sum((XB-X0[np.newaxis])**2., axis=1))/0.1**2)\n q1 = np.zeros(q0.shape)\n #import pdb; pdb.set_trace()\n return np.array([q0, q1, q1]).T","def compute_acceleration(energy, sigma, r):\n return 0.5 * -LJForce(energy, sigma, magnitude(r)) * (r/magnitude(r))","def test_set_hx(self):\n s = State(substance=\"water\")\n s.hx = Q_(1624328.2430353598, \"J/kg\"), Q_(0.5, \"dimensionless\")\n # Pylance does not support NumPy ufuncs\n assert np.isclose(s.T, Q_(400.0, \"K\")) # type: ignore\n assert np.isclose(s.p, Q_(245769.34557103913, \"Pa\")) # type: ignore\n assert np.isclose(s.xT[1], Q_(400.0, \"K\")) # type: ignore\n assert np.isclose(s.xT[0], Q_(0.5, \"dimensionless\")) # type: ignore\n assert np.isclose(s.u, Q_(1534461.5163075812, \"J/kg\")) # type: ignore\n assert np.isclose(s.s, Q_(4329.703956664546, \"J/(kg*K)\")) # type: ignore\n assert np.isclose(s.cp, Q_(4056.471547685226, \"J/(kg*K)\")) # type: ignore\n assert np.isclose(s.cv, Q_(2913.7307270395363, \"J/(kg*K)\")) # type: ignore\n assert np.isclose(s.v, Q_(0.3656547423394701, \"m**3/kg\")) # type: ignore\n assert np.isclose(s.h, Q_(1624328.2430353598, \"J/kg\")) # type: ignore\n assert np.isclose(s.x, Q_(0.5, \"dimensionless\")) # type: ignore","def test_double_ended_ols_wls_fix_alpha_fix_gamma_estimate_synthetic():\n from dtscalibration import DataStore\n import numpy as np\n\n np.random.seed(0)\n\n cable_len = 100.\n nt = 500\n time = np.arange(nt)\n x = np.linspace(0., cable_len, 100)\n ts_cold = np.ones(nt) * 4.\n ts_warm = np.ones(nt) * 20.\n\n C_p = 15246\n C_m = 2400.\n dalpha_r = 0.0005284\n dalpha_m = 0.0004961\n dalpha_p = 0.0005607\n gamma = 482.6\n cold_mask = x < 0.5 * cable_len\n warm_mask = np.invert(cold_mask) # == False\n temp_real = np.ones((len(x), nt))\n temp_real[cold_mask] *= ts_cold + 273.15\n temp_real[warm_mask] *= ts_warm + 273.15\n\n st = C_p * np.exp(-dalpha_r * x[:, None]) * \\\n np.exp(-dalpha_p * x[:, None]) * np.exp(gamma / temp_real) / \\\n (np.exp(-gamma / temp_real) - 1)\n ast = C_m * np.exp(-dalpha_r * x[:, None]) * \\\n np.exp(-dalpha_m * x[:, None]) / (np.exp(-gamma / temp_real) - 1)\n rst = C_p * np.exp(-dalpha_r * (-x[:, None] + cable_len)) * \\\n np.exp(-dalpha_p * (-x[:, None] + cable_len)) * \\\n np.exp(gamma / temp_real) / (np.exp(-gamma / temp_real) - 1)\n rast = C_m * np.exp(-dalpha_r * (-x[:, None] + cable_len)) * np.exp(\n -dalpha_m * (-x[:, None] + cable_len)) / \\\n (np.exp(-gamma / temp_real) - 1)\n\n alpha = np.mean(np.log(rst / rast) - np.log(st / ast), axis=1) / 2\n\n ds = DataStore({\n 'st': (['x', 'time'], st),\n 'ast': (['x', 'time'], ast),\n 'rst': (['x', 'time'], rst),\n 'rast': (['x', 'time'], rast),\n 'userAcquisitionTimeFW': (['time'], np.ones(nt)),\n 'userAcquisitionTimeBW': (['time'], np.ones(nt)),\n 'cold': (['time'], ts_cold),\n 'warm': (['time'], ts_warm)\n },\n coords={\n 'x': x,\n 'time': time},\n attrs={\n 'isDoubleEnded': '1'})\n\n sections = {\n 'cold': [slice(0., 0.5 * cable_len)],\n 'warm': [slice(0.5 * cable_len, cable_len)]}\n\n # OLS\n ds.calibration_double_ended(sections=sections,\n st_label='st',\n ast_label='ast',\n rst_label='rst',\n rast_label='rast',\n method='ols',\n solver='sparse',\n fix_gamma=(gamma, 0.),\n fix_alpha=(alpha, np.zeros_like(alpha)))\n\n np.testing.assert_almost_equal(\n ds.gamma.values, gamma, decimal=6)\n np.testing.assert_almost_equal(\n ds.alpha.values, alpha, decimal=8)\n np.testing.assert_almost_equal(\n ds.TMPF.values, temp_real - 273.15, decimal=4)\n np.testing.assert_almost_equal(\n ds.TMPB.values, temp_real - 273.15, decimal=4)\n np.testing.assert_almost_equal(\n ds.TMPW.values, temp_real - 273.15, decimal=4)\n\n # WLS\n ds.calibration_double_ended(sections=sections,\n st_label='st',\n ast_label='ast',\n rst_label='rst',\n rast_label='rast',\n st_var=1e-7,\n ast_var=1e-7,\n rst_var=1e-7,\n rast_var=1e-7,\n method='wls',\n solver='sparse',\n tmpw_mc_size=5,\n fix_gamma=(gamma, 0.),\n fix_alpha=(alpha, np.zeros_like(alpha)))\n\n np.testing.assert_almost_equal(\n ds.gamma.values, gamma, decimal=6)\n np.testing.assert_almost_equal(\n ds.alpha.values, alpha, decimal=7)\n np.testing.assert_almost_equal(\n ds.TMPF.values, temp_real - 273.15, decimal=5)\n np.testing.assert_almost_equal(\n ds.TMPB.values, temp_real - 273.15, decimal=5)\n np.testing.assert_almost_equal(\n ds.TMPW.values, temp_real - 273.15, decimal=4)\n\n pass","def modulation_lifetime(r, freq=1):\n return np.sqrt(1 / np.abs(r) ** 2 - 1) / (2 * np.pi * freq)","def exact_riemann_solution(q_l,q_r):\n f = lambda q: 0.5*q*q\n states = np.array([[q_l, q_r]])\n if q_l > q_r: # Shock wave\n shock_speed = (f(q_l)-f(q_r))/(q_l-q_r)\n speeds = [shock_speed]\n wave_types = ['shock']\n def reval(xi):\n q = np.zeros((1,len(xi)))\n q[0,:] = (xi < shock_speed)*q_l \\\n + (xi >=shock_speed)*q_r\n return q\n\n else: # Rarefaction wave\n c_l = q_l\n c_r = q_r\n\n speeds = [[c_l,c_r]]\n wave_types = ['rarefaction']\n\n def reval(xi):\n q = np.zeros((1,len(xi)))\n q[0,:] = (xi<=c_l)*q_l \\\n + (xi>=c_r)*q_r \\\n + (c_l<xi)*(xi<c_r)*xi\n return q\n\n return states, speeds, reval, wave_types","def test_double_ended_ols_wls_estimate_synthetic():\n from dtscalibration import DataStore\n import numpy as np\n\n np.random.seed(0)\n\n cable_len = 100.\n nt = 50\n time = np.arange(nt)\n x = np.linspace(0., cable_len, 100)\n ts_cold = np.ones(nt) * 4.\n ts_warm = np.ones(nt) * 20.\n\n C_p = 15246\n C_m = 2400.\n dalpha_r = 0.0005284\n dalpha_m = 0.0004961\n dalpha_p = 0.0005607\n gamma = 482.6\n cold_mask = x < 0.5 * cable_len\n warm_mask = np.invert(cold_mask) # == False\n temp_real = np.ones((len(x), nt))\n temp_real[cold_mask] *= ts_cold + 273.15\n temp_real[warm_mask] *= ts_warm + 273.15\n\n st = C_p * np.exp(-dalpha_r * x[:, None]) * \\\n np.exp(-dalpha_p * x[:, None]) * np.exp(gamma / temp_real) / \\\n (np.exp(-gamma / temp_real) - 1)\n ast = C_m * np.exp(-dalpha_r * x[:, None]) * \\\n np.exp(-dalpha_m * x[:, None]) / (np.exp(-gamma / temp_real) - 1)\n rst = C_p * np.exp(-dalpha_r * (-x[:, None] + cable_len)) * \\\n np.exp(-dalpha_p * (-x[:, None] + cable_len)) * \\\n np.exp(gamma / temp_real) / (np.exp(-gamma / temp_real) - 1)\n rast = C_m * np.exp(-dalpha_r * (-x[:, None] + cable_len)) * np.exp(\n -dalpha_m * (-x[:, None] + cable_len)) / \\\n (np.exp(-gamma / temp_real) - 1)\n\n alpha = np.mean(np.log(rst / rast) - np.log(st / ast), axis=1) / 2\n\n ds = DataStore({\n 'st': (['x', 'time'], st),\n 'ast': (['x', 'time'], ast),\n 'rst': (['x', 'time'], rst),\n 'rast': (['x', 'time'], rast),\n 'userAcquisitionTimeFW': (['time'], np.ones(nt)),\n 'userAcquisitionTimeBW': (['time'], np.ones(nt)),\n 'cold': (['time'], ts_cold),\n 'warm': (['time'], ts_warm)\n },\n coords={\n 'x': x,\n 'time': time},\n attrs={\n 'isDoubleEnded': '1'})\n\n sections = {\n 'cold': [slice(0., 0.5 * cable_len)],\n 'warm': [slice(0.5 * cable_len, cable_len)]}\n\n # OLS\n ds.calibration_double_ended(sections=sections,\n st_label='st',\n ast_label='ast',\n rst_label='rst',\n rast_label='rast',\n method='ols',\n solver='sparse')\n\n np.testing.assert_almost_equal(\n ds.gamma.values, gamma, decimal=6)\n np.testing.assert_almost_equal(\n ds.alpha.values, alpha, decimal=7)\n np.testing.assert_almost_equal(\n ds.TMPF.values, temp_real - 273.15, decimal=4)\n np.testing.assert_almost_equal(\n ds.TMPB.values, temp_real - 273.15, decimal=4)\n np.testing.assert_almost_equal(\n ds.TMPW.values, temp_real - 273.15, decimal=4)\n\n # WLS\n ds.calibration_double_ended(sections=sections,\n st_label='st',\n ast_label='ast',\n rst_label='rst',\n rast_label='rast',\n st_var=1e-7,\n ast_var=1e-7,\n rst_var=1e-7,\n rast_var=1e-7,\n method='wls',\n solver='sparse',\n tmpw_mc_size=5)\n\n np.testing.assert_almost_equal(\n ds.gamma.values, gamma, decimal=5)\n np.testing.assert_almost_equal(\n ds.alpha.values, alpha, decimal=6)\n np.testing.assert_almost_equal(\n ds.TMPF.values, temp_real - 273.15, decimal=4)\n np.testing.assert_almost_equal(\n ds.TMPB.values, temp_real - 273.15, decimal=4)\n np.testing.assert_almost_equal(\n ds.TMPW.values, temp_real - 273.15, decimal=4)","def pme0(q, r, d, tau):\n sHat = ( q*np.exp( -(r-d)**2 / (2*(tau**2)) ) \\\n / ( q*np.exp( -(r-d)**2 / (2*(tau**2))) + (1-q)*np.exp( -r**2 / (2*(tau**2))) ) ).astype(float)\n return sHat","def _calculate_quilting_error(self, resistance=3.24e6):\n\n self.sigma_quilting = ((0.126*self.actuator_spacing**2)**2)/(resistance*self.thickness**2)","def factor(self):\n return np.real_if_close(self.scale * np.exp(1j*self.phase))","def tGain(self, dt, r):\n\t return 1./(10.**6)*r#*precip.r","def testRhoCrit():\n units = unitsystem.UnitSystem()\n assert units.rho_crit(0.7) == 9.204285430050004e-30\n assert units.rho_crit(1.0) == 1.8784255979693885e-29","def isobaric_rates(variables, time):\n TiCl4, O2, T = variables\n \n k1 = A1*np.exp(-Ea/(R*T)) * 1e-3\n\n k2 = A2*np.exp(-Ea/(R*T)) * 1e-3\n \n delHr = (T-726.85)*(12/125) - 102\n \n if O2 - (k1+k2*np.sqrt(O2))*TiCl4*end_time/steps <= 0 or np.isclose(0,O2) :\n return (0, 0, 0)\n \n else:\n rate_TiCl4 = -(k1+k2*np.sqrt(O2))*TiCl4\n rate_O2 = -(k1+k2*np.sqrt(O2))*TiCl4\n \n if initial_conditions[1] < initial_conditions[0]:\n X = -rate_O2/initial_conditions[1]\n else:\n X = -rate_TiCl4/initial_conditions[0]\n \n \n Cp_TiCl4 = A_TiCl4 + B_TiCl4*(T/1000) + C_TiCl4*((T/1000)**2) + D_TiCl4*((T/1000)**3) + E_TiCl4/((T/1000)**2)\n \n Cp_O2 = A_O2 + B_O2*(T/1000) + C_O2*((T/1000)**2) + D_O2*((T/1000)**3) + E_O2/((T/1000)**2)\n \n Cp_TiO2 = A_TiO2 + B_TiO2*(T/1000) + C_TiO2*((T/1000)**2) + D_TiO2*((T/1000)**3) + E_TiO2/((T/1000)**2)\n \n Cp_Cl2 = A_Cl2 + B_Cl2*(T/1000) + C_Cl2*((T/1000)**2) + D_Cl2*((T/1000)**3) + E_Cl2/((T/1000)**2)\n \n \n rate_T = -delHr * np.min(initial_conditions) * X / (Cp_TiCl4 + (O20/TiCl40)*Cp_O2 - Cp_TiO2 - 2*Cp_Cl2)\n \n #print(X, rate_T)\n \n return (rate_TiCl4, rate_O2, rate_T)","def momentum_indicators(df):\n p = \"mom_\"\n high, low, close = convert_df_to_features(df, False)\n # AO\n i = AwesomeOscillatorIndicator(high, low, 10, 70)\n df[p + \"ao_10_log\"] = list(map(lambda x: uf.log_abs(x,\n zeros=True), i.awesome_oscillator()))\n # PPO\n i = PercentagePriceOscillator(close, 40, 20, 10)\n df[p + \"ppo_10_signal_log\"] = list(\n map(lambda x: uf.log_abs(x * 1000), i.ppo_signal()))\n i = PercentagePriceOscillator(close, 120, 60, 30)\n df[p + \"ppo_30_hist\"] = i.ppo_hist()\n # ROC\n i = ROCIndicator(close, 50)\n df[p + \"roc_50_log\"] = list(map(lambda x: uf.log_abs(x *\n 100, zeros=True), i.roc()))\n # RSI\n i = RSIIndicator(close, 30)\n df[p + \"rsi_30\"] = i.rsi()\n # SR\n i = StochasticOscillator(close, high, low, 54, 9)\n df[p + \"sr_9_signal\"] = i.stoch_signal()\n # SRSI\n i = StochRSIIndicator(close, 90, 15, 15)\n df[p + \"srsi_15_k\"] = i.stochrsi_k()\n i = StochRSIIndicator(close, 180, 30, 30)\n df[p + \"srsi_30\"] = i.stochrsi()\n i = StochRSIIndicator(close, 60, 10, 10)\n df[p + \"srsi_10_d\"] = i.stochrsi()\n # TSI\n i = TSIIndicator(close, 40, 20)\n df[p + \"tsi_20_log\"] = list(map(lambda x: uf.log_abs(x *\n 100, zeros=True), i.tsi()))\n # WR\n i = WilliamsRIndicator(high, low, close, 50)\n df[p + \"wr_50\"] = i.williams_r()\n return df","def rsi(df, lag):\n\n def avg_gain():\n gains = [\n df[i][\"c\"] - df[i - 1][\"c\"] if df[i][\"c\"] >= df[i - 1][\"c\"] else 0.0\n for i in range(1, len(df))\n ]\n avg_gain = [sum(gains[:lag]) / float(lag)]\n [avg_gain.append(((avg_gain[-1] * 13) + gain) / 14.0) for gain in gains[lag:]]\n return avg_gain\n\n def avg_loss():\n losses = [\n abs(df[i][\"c\"] - df[i - 1][\"c\"]) if df[i][\"c\"] < df[i - 1][\"c\"] else 0.0\n for i in range(1, len(df))\n ]\n avg_loss = [sum(losses[:lag]) / float(lag)]\n [avg_loss.append(((avg_loss[-1] * 13) + loss) / 14.0) for loss in losses[lag:]]\n return avg_loss\n\n gains = avg_gain()\n losses = avg_loss()\n\n raw_rsi = [\n round(100 - (100 / (1 + (gains[i] / losses[i]))), 2) for i in range(len(gains))\n ]\n df = df[-1 * len(raw_rsi) :]\n\n return [raw_rsi[i] for i in range(len(df))]","def chi_c_real(params):\n Qi = Q_i(params)\n Qc = params['Q_e_real'].value\n return ((4 * Qc * Qi) /\n (Qc + Qi) ** 2)","def __init__(self):\n super(ASYMMETRIC, self).__init__(quant_type=Constants.QZ_ASYMMETRIC)","def qcd(self):\n q1, q3 = self.close.quantile([0.25, 0.75])\n return (q3 - q1) / (q3 + q1)","def rotation_and_or_boost(q_1: Q, h: Q, verbose=False) -> Q:\n q_1.check_representations(h)\n end_q_type = f\"{q_1.q_type}rotation/boost\"\n\n if not h.is_symbolic():\n\n if (not math.isclose(h.t, 0) and not equal(q0(), vector_q(h))) or equal(h, q0()):\n\n if not math.isclose(square(h).t, 1):\n # The scalar part of h will be used to calculate cosh(h.t) and sinh(h.t)\n # The normalized vector part will point sinh(t) in the direction of vector_q(h)\n h_scalar = scalar_q(h)\n h_nomralized_vector = normalize(vector_q(h))\n\n if np.abs(h_scalar.t) > 1:\n h_scalar = inverse(h_scalar)\n\n h_cosh = product(add(exp(h_scalar), exp(flip_sign(h_scalar))), q1(1.0 / 2.0))\n h_sinh = product(dif(exp(h_scalar), exp(flip_sign(h_scalar))), q1(1.0 / 2.0))\n\n h = add(h_cosh, product(h_nomralized_vector, h_sinh))\n\n if verbose:\n h.print_state(\"To do a Lorentz boost, adjusted value of h so scalar_q(h²) = 1\")\n\n else:\n if not math.isclose(norm_squared(h).t, 1):\n h = normalize(h)\n if verbose:\n h.print_state(\"To do a 3D rotation, adjusted value of h so scalar_q(h h^*) = 1\")\n\n triple_1 = triple_product(h, q_1, conj(h))\n triple_2 = conj(triple_product(h, h, q_1))\n triple_3 = conj(triple_product(conj(h), conj(h), q_1))\n\n triple_23 = dif(triple_2, triple_3)\n half_23 = product(triple_23, Q([0.5, 0, 0, 0], representation=q_1.representation))\n triple_123 = add(triple_1, half_23)\n triple_123.q_type = end_q_type\n triple_123.representation = q_1.representation\n\n return triple_123","def _waist_from_q(q, wavelength):\n\n return np.sqrt(wavelength / (np.pi * np.imag(-1 / q)))","def glycolysis_rate_cal (self) :\n x = self.mitochondria.get_atp()\n y = self.mitochondria.get_adp()\n a = self.atp\n b = self.adp\n self.adp_to_atp(self.mitochondria.atp_translocase(math.ceil((x*b - a*y)/(a+b+x+y))))\n if a<1 :\n return\n else :\n self.set_glycolysis(int(5*b/a))","def test_GBL_tau_star():\n z = 1.0\n\n # Fully ionized H and He\n x_ionH = 1.0\n x_ionHe = 2.0\n\n cosmo = {}\n cosmo['omega_M_0'] = numpy.array([[0.3],[0.6],[1.0]])\n cosmo['omega_lambda_0'] = 1. - cosmo['omega_M_0']\n cosmo['h'] = 0.65\n cosmo['omega_b_0'] = 0.02 / cosmo['h']**2.\n cosmo['Y_He'] = 0.24\n cd.set_omega_k_0(cosmo)\n\n tau_inst, tau_star = cr.optical_depth_instant(z, \n x_ionH=x_ionH, \n x_ionHe=x_ionHe, \n return_tau_star=True,\n **cosmo)\n print(\"tau_star = %.7f\" % (tau_star))\n print(\"tau_star/(h Omega_b) = %.7f =? 0.061\" % \n (tau_star / (cosmo['h'] * cosmo['omega_b_0'])))\n\n ntest.assert_approx_equal(tau_star / (cosmo['h'] * cosmo['omega_b_0']),\n 0.061,\n 2)\n\n print(\"(1 - Y_He/2) = %.3f =? 0.88\" % (1. - (cosmo['Y_He']/2.)))\n ntest.assert_approx_equal((1. - (cosmo['Y_He']/2.)),\n 0.88,\n 7)\n\n H_0 = cc.H100_s * cosmo['h']\n\n # s^-1 * Mpc s^-1 * Mpc^2 / Mpc^3 msun^-1 s^-2 / Msun -> \n tau_star_explicit = ((1. - (cosmo['Y_He']/2.)) * \n ((3. * H_0 * cosmo['omega_b_0'] * cc.c_light_Mpc_s *\n cc.sigma_T_Mpc) / \n (8. * math.pi * cc.G_const_Mpc_Msun_s * \n (cc.m_p_g/cc.M_sun_g))))\n\n print(\"tau_star_explicit = %.7f =? tau_star\" % (tau_star_explicit))\n ntest.assert_approx_equal(tau_star, tau_star_explicit, 3)","def d_q_hisano(self, mchi):\n w = self.MW**2/mchi**2\n def gAV(x):\n bx = np.sqrt(1-x/4+0*1j)\n out = np.real_if_close(1/(24*bx) * np.sqrt(x) * (8 - x - x**2) * np.arctan(2*bx/np.sqrt(x))\\\n - 1/24 * x * (2 - (3+x)*np.log(x)))\n return out\n return (self.alpha)**2/(self.MW**2*self.sw**4) * ((self.dchi**2 - 1)/8 * gAV(w))","def qFelder(h):\n\treturn (0.92 + 0.153 * h/1.01) * math.sqrt(9.8 * (2/3.0 * h)**3)","def hua_formula(Q):\n q = Q.y**2\n dct = hua_formula_dict(Q, q, Q.prec())\n return Invariant(Q.R(dct).Log()*(q-1))","def harmonicOscillator_heatCapacity(T, freq):\n x = freq / (0.695039 * T) # kB = 0.695039 cm^-1/K\n exp_x = math.exp(x)\n one_minus_exp_x = 1.0 - exp_x\n return x * x * exp_x / one_minus_exp_x / one_minus_exp_x","def qtf(self, vw, th, gp, psi_l, lai, dt):\n\t\t#if the amount of water in tank is less than amount that will be absorbed by plant in timestep dt, then what's left will be absorbed \n\t qtt = th - self.qwf(vw, th, gp, psi_l, lai, dt)\n\t if self.tx*self.ZT*10**6 <= 0:\n\t return 0.\n\t elif self.tx*self.ZT*10**6 <= qtt*dt:\n\t return (self.tx*self.ZT*10**6/dt)\n\t else:\n\t return qtt","def wave_energy(F, df, rhow=1000, g=9.8):\n return rhow * g * np.sum(F * df)","def Optimize_tau(x,dt):\n\n xdot = central_diff(x,dt)\n var_xdot = np.var(xdot)\n tau_target = CorrelationTime(x,dt=dt)\n\n \n k = var_xdot\n beta0 = 0.1\n alpha = 1.0/k # beta/D ratio\n\n @jit\n def f1(x): # spring force\n return k*x\n \n MySys = Stochastic_Oscillator(f1,beta0,beta0 / alpha)\n R = 5000 # how many taus required for integration\n MySys.Match_Correlation(tau_target,np.array([1e-2,20]),alpha,T=R*tau_target,N=int(R*100))\n MySys.k=k\n\n return MySys","def growth_rate(z, c):\n\n if c is None:\n c = Cosmology()\n\n x = ((1.0 / c.omega_m) - 1.0) / (1.0 + z) ** 3\n\n dnum = 3.0 * x * (1.175 + 0.6127 * x + 0.01607 * x ** 2)\n dden = 3.0 * x * (1.857 + 2.042 * x + 0.4590 * x ** 2)\n\n num = 1.0 + 1.175 * x + 0.3064 * x ** 2 + 0.005355 * x ** 3\n den = 1.0 + 1.857 * x + 1.021 * x ** 2 + 0.1530 * x ** 3\n\n f = 1.0 + 1.5 * x / (1.0 + x) + dnum / num - dden / den\n\n return f","def liqtemperature(pres):\n psi = pres/_PTPE - 1\n temp = 0.\n for coeff in _C_TMELT[::-1]:\n temp = temp*psi + coeff\n temp = (1 + temp*psi)*_TTP\n return temp","def get_wave(q):\n\n approximant = 'SEOBNRv4'\n chi1 = [0,0,0]\n chi2 = [0,0,0]\n deltaTOverM = 0.1\n omega0 = 2e-2\n\n t, h = LALPy.generate_LAL_waveform(approximant, q, chi1, chi2, deltaTOverM, omega0)\n\n Amp = np.abs(h)\n peakIdx = np.argmax(Amp)\n\n t -= t[peakIdx]\n\n tmin = -500\n if min(t) > tmin:\n raise Exception('Data not long enough, decrease omega0.')\n keepIdx = t - tmin > -1e-3 # simple hack to ensure t_vec is always nearly the same\n t = t[keepIdx]\n h = h[keepIdx]\n\n tmax = 100\n keepIdx = t - tmax < 1e-3\n t = t[keepIdx]\n h = h[keepIdx]\n\n return t, h","def speedOfSound(gamma, R, T):\n\n a = np.sqrt(gamma*R*T)\n\n return a","def metropolis ( delta ):\n\n import numpy as np\n \n exponent_guard = 75.0\n\n if delta > exponent_guard: # Too high, reject without evaluating\n return False\n elif delta < 0.0: # Downhill, accept without evaluating\n return True\n else:\n zeta = np.random.rand() # Uniform random number in range (0,1)\n return np.exp(-delta) > zeta # Metropolis test","def test_double_ended_wls_fix_gamma_estimate_synthetic():\n from dtscalibration import DataStore\n\n cable_len = 100.0\n nt = 500\n time = np.arange(nt)\n x = np.linspace(0.0, cable_len, 100)\n ts_cold = np.ones(nt) * 4.0\n ts_warm = np.ones(nt) * 20.0\n\n C_p = 15246\n C_m = 2400.0\n dalpha_r = 0.0005284\n dalpha_m = 0.0004961\n dalpha_p = 0.0005607\n gamma = 482.6\n cold_mask = x < 0.5 * cable_len\n warm_mask = np.invert(cold_mask) # == False\n temp_real = np.ones((len(x), nt))\n temp_real[cold_mask] *= ts_cold + 273.15\n temp_real[warm_mask] *= ts_warm + 273.15\n\n st = (\n C_p\n * np.exp(-(dalpha_r + dalpha_p) * x[:, None])\n * np.exp(gamma / temp_real)\n / (np.exp(gamma / temp_real) - 1)\n )\n ast = (\n C_m\n * np.exp(-(dalpha_r + dalpha_m) * x[:, None])\n / (np.exp(gamma / temp_real) - 1)\n )\n rst = (\n C_p\n * np.exp(-(dalpha_r + dalpha_p) * (-x[:, None] + cable_len))\n * np.exp(gamma / temp_real)\n / (np.exp(gamma / temp_real) - 1)\n )\n rast = (\n C_m\n * np.exp(-(dalpha_r + dalpha_m) * (-x[:, None] + cable_len))\n / (np.exp(gamma / temp_real) - 1)\n )\n\n alpha = np.mean(np.log(rst / rast) - np.log(st / ast), axis=1) / 2\n alpha -= alpha[0] # the first x-index is where to start counting\n dalpha = dalpha_p - dalpha_m\n alpha2 = x * dalpha\n\n # to ensure the st, rst, ast, rast were correctly defined.\n np.testing.assert_allclose(alpha2, alpha, atol=1e-15, rtol=0)\n\n ds = DataStore(\n {\n \"st\": ([\"x\", \"time\"], st),\n \"ast\": ([\"x\", \"time\"], ast),\n \"rst\": ([\"x\", \"time\"], rst),\n \"rast\": ([\"x\", \"time\"], rast),\n \"userAcquisitionTimeFW\": ([\"time\"], np.ones(nt)),\n \"userAcquisitionTimeBW\": ([\"time\"], np.ones(nt)),\n \"cold\": ([\"time\"], ts_cold),\n \"warm\": ([\"time\"], ts_warm),\n },\n coords={\"x\": x, \"time\": time},\n attrs={\"isDoubleEnded\": \"1\"},\n )\n\n sections = {\n \"cold\": [slice(0.0, 0.35 * cable_len)],\n \"warm\": [slice(0.67 * cable_len, cable_len)],\n }\n\n # WLS\n ds.calibration_double_ended(\n sections=sections,\n st_var=1e-12,\n ast_var=1e-12,\n rst_var=1e-12,\n rast_var=1e-12,\n method=\"wls\",\n solver=\"sparse\",\n fix_gamma=(gamma, 0.0),\n )\n\n assert_almost_equal_verbose(ds.gamma.values, gamma, decimal=18)\n assert_almost_equal_verbose(ds.alpha.values, alpha, decimal=9)\n assert_almost_equal_verbose(ds.tmpf.values, temp_real - 273.15, decimal=6)\n assert_almost_equal_verbose(ds.tmpb.values, temp_real - 273.15, decimal=6)\n assert_almost_equal_verbose(ds.tmpw.values, temp_real - 273.15, decimal=6)\n\n pass","def Q_term(\n omega1, # vorticity-1 component\n omega2, # vorticity-2 component\n omega3, # vorticity-3 component\n s11, # strain rate-11 component\n s12, # strain rate-12 component\n s13, # strain rate-13 component\n s22, # strain rate-22 component\n s23, # strain rate-23 component\n s33): # strain rate-33 component\n #---------------------------------------------------------------------#\n # Numerator and denominator #\n #---------------------------------------------------------------------#\n num = omega1*s11*omega1 + omega1*s12*omega2 + omega1*s13*omega3 +\\\n omega2*s12*omega1 + omega2*s22*omega2 + omega2*s23*omega3+\\\n omega3*s13*omega1 + omega3*s23*omega2 + omega3*s33*omega3\n den1 = omega1*omega1 + omega2*omega2 + omega3*omega3\n den2 = (s11*s11 + s12*s12 + s13*s13 + s12*s12 + s22*s22 + s23*s23 +\\\n s13*s13 + s23*s23 + s33*s33)**0.5\n den = ((2.0/3.0)**0.5)* den1 * den2\n #---------------------------------------------------------------------#\n # Q calculation #\n #---------------------------------------------------------------------#\n Q = num/den\n\n return Q","def Harmonic_potential(x):\n k=1\n return 0.5*k*(x**2)","def _q_z(self):\n D = self.latt_par['D'].value\n lambda_r = self.latt_par['lambda_r'].value\n gamma = self.latt_par['gamma'].value\n return 2*np.pi*(self.h/D - self.k/lambda_r/np.tan(gamma))","def Hydrogen_Rate(E):\n\treturn (4.0/E)*np.exp(-(2.0/3.0)/E)","def _compute_rho(self, q0):\n rho = np.power(q0, self.beta)\n\n # Division by rho-mean is not in papers, but in berry code (ref3)\n return rho / np.mean(rho)","def length_vs_rate_2(Lmax=200, Lmin=102.4, p=75, fmax=1e12, p1=database['K+'],\r\n p2=database['pi+'], p3=database['p+'], E=1e6, n=20,\r\n ng=50, nl=50, nf=100, delta_p=1.6e-2, just_pi=False,\r\n set_freq=5.7e9, count=True):\r\n if set_freq == None:\r\n print('Estimated time: {0}'.format(timing(n*ng*nl*nf*3.84e-05)))\r\n else:\r\n print('Estimated time: {0}'.format(timing(n*ng*nl*3.84e-05)))\r\n i = 0\r\n while i < 1e7:\r\n i += 1\r\n start = time.time()\r\n L_range = np.linspace(Lmin, Lmax, n)\r\n opt_gap, opt_freq, opt_cav, opt_disp, rate = [], [], [], [], []\r\n for L in L_range:\r\n if count == True:\r\n print(f'L={L}')\r\n opt = cavity_gap_comp(L_t=L-22.8, p=p, fmax=fmax, p1=p1, p2=p2, p3=p3,\r\n E=E, plot=False, delta_p=delta_p, n=ng, nf=nf,\r\n nl=nl, just_pi=just_pi, set_freq=set_freq,\r\n count=count)\r\n opt_freq.append(opt[0])\r\n opt_gap.append(opt[1])\r\n opt_cav.append(opt[2])\r\n opt_disp.append(opt[3])\r\n rate.append(decay_rate(L, p1, p)*1e-6)\r\n opt_freq, opt_disp, rate = np.array(opt_freq), np.array(opt_disp), np.array(rate)\r\n# ratio = (opt_disp*rate)/(opt_freq*L)\r\n# ratio *= (np.max(opt_freq)-np.min(opt_freq))/(np.max(ratio)-np.min(ratio))\r\n# ratio += ((np.min(opt_freq))-np.min(ratio))\r\n fig = plt.figure(figsize=[14, 4])\r\n host = fig.add_subplot(1, 1, 1)\r\n fig.subplots_adjust(right=0.75)\r\n par1 = host.twinx()\r\n# par2 = host.twinx()\r\n# par2.spines['right'].set_position(('axes', 1.2))\r\n# make_patch_spines_invisible(par2)\r\n# par2.spines['right'].set_visible(True) \r\n p1, = host.plot(L_range, rate, 'r', alpha=0.8, lw=2, label='decay rate in decay region')\r\n p2, = par1.plot(L_range, opt_disp, 'b', alpha=0.8, lw=2, label='min disp')\r\n# p3, = par2.plot(L_range, opt_freq, 'b', alpha=0.8, lw=2, label='frequency')\r\n# p4, = par2.plot(L_range, ratio, 'g', alpha=0.8, lw=2, label='ratio')\r\n host.set_xlim(Lmin, Lmax)\r\n host.set_xlabel('Distance between Target and Decay Region / m', fontsize=15)\r\n host.set_ylabel('Decay Rate in Decay Region / MHz', fontsize=15)\r\n par1.set_ylabel('Minimum Displacement / mm', fontsize=15)\r\n# par2.set_ylabel('Frequency / Hz', fontsize=15)\r\n host.yaxis.label.set_color(p1.get_color())\r\n par1.yaxis.label.set_color(p2.get_color())\r\n# par2.yaxis.label.set_color(p3.get_color())\r\n host.tick_params(axis='y', colors=p1.get_color())\r\n par1.tick_params(axis='y', colors=p2.get_color())\r\n# par2.tick_params(axis='y', colors=p3.get_color())\r\n# lines = [p1, p2, p3, p4]\r\n# lines = [p1, p2]\r\n# host.legend(lines, [l.get_label() for l in lines], loc=[0.45, 0.8], fontsize=20)\r\n host.minorticks_on()\r\n par1.minorticks_on()\r\n host.set_ylim(0)\r\n par1.set_ylim(0)\r\n host.grid()\r\n host_yticks = np.arange(0, int(np.max(rate))+2, 1)\r\n par1_yticks = np.arange(0, (int(np.max(opt_disp)/100)+1)*100, 100)\r\n host.set_yticks(host_yticks)\r\n host.set_yticklabels(host_yticks)\r\n par1.set_yticks(par1_yticks)\r\n par1.set_yticklabels(par1_yticks)\r\n host.set_title(r'Unwanted particle displacement and observed $K^+$'+' decay rate\\nas a function of target distance', fontsize=15)\r\n plt.show()\r\n fig.savefig('Length_vs_Rate_75.pdf', bbox_inches='tight')\r\n index = np.argmax(opt_disp)\r\n# index = np.argmax(ratio)\r\n print(f'{timing(time.time()-start)}')\r\n return [opt_disp[index], L_range[index], opt_gap[index], opt_cav[index], opt_freq[index], rate[index]]","def one_transition_spectrum_fluor(self,tr):\n \n\n ta = tr[\"ta\"] # TimeAxis\n dd = tr[\"dd\"] # transition dipole strength\n om = tr[\"om\"] # frequency - rwa\n gg = tr[\"gg\"] # natural broadening (constant or time dependent)\n fwhm = tr[\"fwhm\"] # Additional gaussian broadening of the spectra\n sgm = fwhm/(2*numpy.sqrt(2*numpy.log(2)))\n \n # CD and fluorescence can be calculated in this step\n # TODO if rotatory strength defined calculate also circular dichroism spectra\n # TOOD calculate fluorescence spectra (for fluorescence there should be a switch because it should be calculated only for the first transition) \n \n \n if self.system._has_system_bath_coupling:\n# ct = tr[\"ct\"] # correlation function\n re = tr[\"re\"] # reorganisation energy\n \n # convert correlation function to lineshape function\n #gt = self._c2g(ta,ct.data)\n gt = tr[\"gt\"]\n # calculate time dependent response\n at = numpy.exp(-numpy.conjugate(gt) -1j*om*ta.data + 2j*re*ta.data)\n else:\n # calculate time dependent response\n at = numpy.exp(-1j*om*ta.data) \n# plt.figure()\n# plt.title(\"Absorption\")\n# plt.plot(ta.data,numpy.real(at))\n# plt.plot(ta.data,numpy.imag(at))\n \n \n if len(gg) == 1:\n gam = gg[0]\n rt = numpy.exp(gam*ta.data)\n at *= rt\n #print(\"Constant: \", rt[20], len(at))\n else:\n rt = numpy.exp((gg)*ta.data) \n at *= rt\n #print(\"Time dependent: len = \", rt[20], len(rt))\n \n if fwhm!=0.0:\n gauss = numpy.exp(-2*(numpy.pi**2)*(sgm**2)*(ta.data**2))\n at *= gauss\n \n # Fourier transform the result\n ft = dd*numpy.fft.hfft(at)*ta.step\n ft = numpy.fft.fftshift(ft)\n # invert the order because hfft is a transform with -i\n ft = numpy.flipud(ft) \n # cut the center of the spectrum\n Nt = ta.length #len(ta.data) \n return ft[Nt//2:Nt+Nt//2]","def dalf(x):\n # if pitch_start_time - ramp_constant_time <= x <= pitch_end_time + ramp_constant_time:\n # f_t0 = smooth_factor * (x - pitch_start_time)\n # f_t1 = smooth_factor * (x - p_acc_end_time)\n # f_t2 = smooth_factor * (x - p_decc_start_time)\n # f_t3 = smooth_factor * (x - pitch_end_time)\n\n # dalfx = (pitch_acceleration /\n # 2) / smooth_factor * (logcosh(f_t0) - logcosh(f_t1) +\n # logcosh(f_t3) - logcosh(f_t2))\n # else:\n # dalfx = 0\n f_t0 = smooth_factor * (x - pitch_start_time)\n f_t1 = smooth_factor * (x - p_acc_end_time)\n f_t2 = smooth_factor * (x - p_decc_start_time)\n f_t3 = smooth_factor * (x - pitch_end_time)\n\n dalfx = (pitch_acceleration / 2) / smooth_factor * (\n logcosh(f_t0) - logcosh(f_t1) + logcosh(f_t3) - logcosh(f_t2))\n return dalfx","def test_single_ended_ols_wls_estimate_synthetic():\n\n from dtscalibration import DataStore\n import numpy as np\n\n np.random.seed(0)\n\n cable_len = 100.\n nt = 50\n time = np.arange(nt)\n x = np.linspace(0., cable_len, 500)\n ts_cold = np.ones(nt) * 4.\n ts_warm = np.ones(nt) * 20.\n\n C_p = 15246\n C_m = 2400.\n dalpha_r = 0.0005284\n dalpha_m = 0.0004961\n dalpha_p = 0.0005607\n gamma = 482.6\n cold_mask = x < 0.5 * cable_len\n warm_mask = np.invert(cold_mask) # == False\n temp_real = np.ones((len(x), nt))\n temp_real[cold_mask] *= ts_cold + 273.15\n temp_real[warm_mask] *= ts_warm + 273.15\n\n st = C_p * np.exp(-dalpha_r * x[:, None]) * \\\n np.exp(-dalpha_p * x[:, None]) * \\\n np.exp(gamma / temp_real) / (np.exp(gamma / temp_real) - 1)\n ast = C_m * np.exp(-dalpha_r * x[:, None]) * \\\n np.exp(-dalpha_m * x[:, None]) / (np.exp(gamma / temp_real) - 1)\n\n print('alphaint', cable_len * (dalpha_p - dalpha_m))\n print('alpha', dalpha_p - dalpha_m)\n print('C', np.log(C_p / C_m))\n print('x0', x.max())\n\n ds = DataStore({\n 'st': (['x', 'time'], st),\n 'ast': (['x', 'time'], ast),\n 'userAcquisitionTimeFW': (['time'], np.ones(nt)),\n 'cold': (['time'], ts_cold),\n 'warm': (['time'], ts_warm)\n },\n coords={\n 'x': x,\n 'time': time},\n attrs={\n 'isDoubleEnded': '0'})\n\n sections = {\n 'cold': [slice(0., 0.5 * cable_len)],\n 'warm': [slice(0.5 * cable_len, cable_len)]}\n\n # OLS\n ds.calibration_single_ended(sections=sections,\n st_label='st',\n ast_label='ast',\n method='ols',\n solver='sparse')\n\n np.testing.assert_almost_equal(\n ds.gamma.values, gamma, decimal=6)\n np.testing.assert_almost_equal(\n ds.dalpha.values, dalpha_p - dalpha_m, decimal=8)\n np.testing.assert_almost_equal(\n ds.TMPF.values, temp_real - 273.15, decimal=4)\n\n # WLS\n ds.calibration_single_ended(sections=sections,\n st_label='st',\n ast_label='ast',\n st_var=1.,\n ast_var=1.,\n method='wls',\n solver='sparse')\n\n np.testing.assert_almost_equal(\n ds.gamma.values, gamma, decimal=6)\n np.testing.assert_almost_equal(\n ds.dalpha.values, dalpha_p - dalpha_m, decimal=8)\n np.testing.assert_almost_equal(\n ds.TMPF.values, temp_real - 273.15, decimal=4)\n\n pass","def get_chisqrs(prf,diff,nbins): \n off_pulse = np.zeros(39)\n off_pulse[:20] = prf[:20]\n off_pulse[20:] = prf[45:] #Making off pulse region\n # print(\"Off pulse Region \",off_pulse)\n op_rms = np.var(off_pulse) #Rms\n # print(\"Off pulse RMS \",op_rms)\n s = 0\n for d in diff:\n s += d**2/op_rms\n\n s = s/(nbins - 1)\n # print(\"Chisqr value = \",s)\n\n return s","def referenceIllum(temp, wavelength):\n ct=temp\n if ct <= 0:\n return 0\n if ct < 4000:\n return planckian(ct, wavelength)\n if ct < 5000:\n p=planckian(ct, wavelength)\n d=dseries(ct, wavelength)\n return p+(d-p)*(ct-4000)/1500.0\n return dseries(ct, wavelength)","def test_set_hp(self):\n s = State(substance=\"water\")\n s.hp = Q_(1061602.391543017, \"J/kg\"), Q_(101325.0, \"Pa\")\n # Pylance does not support NumPy ufuncs\n assert np.isclose(s.T, Q_(373.1242958476843, \"K\")) # type: ignore\n assert np.isclose(s.p, Q_(101325.0, \"Pa\")) # type: ignore\n assert np.isclose(s.hp[0], Q_(1061602.391543017, \"J/kg\")) # type: ignore\n assert np.isclose(s.hp[1], Q_(101325.0, \"Pa\")) # type: ignore\n assert np.isclose(s.u, Q_(1013250, \"J/kg\")) # type: ignore\n assert np.isclose(s.s, Q_(3028.9867985920914, \"J/(kg*K)\")) # type: ignore\n assert np.isclose(s.v, Q_(0.4772010021515822, \"m**3/kg\")) # type: ignore\n assert np.isclose(s.h, Q_(1061602.391543017, \"J/kg\")) # type: ignore\n assert np.isclose(s.x, Q_(0.28475636946248034, \"dimensionless\")) # type: ignore\n s.hp = Q_(3336406.139862406, \"J/kg\"), Q_(101325.0, \"Pa\")\n assert np.isclose(s.T, Q_(700.9882316847855, \"K\")) # type: ignore\n assert np.isclose(s.p, Q_(101325.0, \"Pa\")) # type: ignore\n assert np.isclose(s.hp[0], Q_(3336406.139862406, \"J/kg\")) # type: ignore\n assert np.isclose(s.hp[1], Q_(101325.0, \"Pa\")) # type: ignore\n assert np.isclose(s.u, Q_(3013250, \"J/kg\")) # type: ignore\n assert np.isclose(s.s, Q_(8623.283568815832, \"J/(kg*K)\")) # type: ignore\n assert np.isclose(s.v, Q_(3.189303132125469, \"m**3/kg\")) # type: ignore\n assert np.isclose(s.h, Q_(3336406.139862406, \"J/kg\")) # type: ignore\n assert s.x is None","def get_wavelength(self):\n E = -self.E0*(1.0/self.n_low**2 - 1.0/self.n_high**2)\n return SI['hc']*1e12/(E*SI['keV'])","def q(self) -> float:\n return self._pwr.imag","def theoretical_lifetime(q, p0, time):\n\tq_cut = q[0:len(q)-1, 0:len(q)-1]\n\treturn 1-np.sum(np.matmul(p0,expm(q_cut*time)))","def calcSensitivity(self, background: SpectralQty, signal: SpectralQty, obstruction: float, exp_time: u.Quantity,\n snr: u.Quantity, target_brightness: u.Quantity) -> [u.mag, u.mag / u.sr]:\n # Calculate the signal and background temperatures\n t_signal, t_background = self.calcTemperatures(background, signal, obstruction)\n line_ind = np.where(t_signal.wl == self.__lambda_line)[0][0]\n t_sys = t_background + 2 * self.__receiver_temp + t_signal\n # Calculate the noise bandwidth\n delta_nu = t_signal.wl.to(u.Hz, equivalencies=u.spectral()) / (t_signal.wl / self.__common_conf.wl_delta() + 1)\n sensitivity = []\n for snr_, exp_time_ in zip(snr, exp_time) if snr.size > 1 else zip([snr], [exp_time]):\n # Calculate the RMS background temperature\n if self.__n_on is None:\n t_rms = 2 * t_sys * self.__kappa / np.sqrt(exp_time_ * delta_nu)\n else:\n t_rms = t_sys * self.__kappa * np.sqrt(1 + 1 / np.sqrt(self.__n_on)) / np.sqrt(exp_time_ * delta_nu)\n # Calculate the limiting signal temperature\n t_signal_lim = t_rms * snr_\n # Calculate the sensitivity\n signal_ratio = t_signal_lim / t_signal\n sensitivity_ = SpectralQty(signal_ratio.wl,\n target_brightness - 2.5 * np.log10(signal_ratio.qty) * target_brightness.unit)\n sensitivity.append(sensitivity_.qty[line_ind])\n # Print details\n self.__printDetails(t_sys.qty[line_ind], delta_nu[line_ind], t_rms.qty[line_ind],\n t_signal_lim.qty[line_ind], \"SNR=%.2f t_exp=%.2f s: \" % (snr_.value, exp_time_.value))\n self.__output(t_signal, t_background, t_rms, \"snr_%.2f_texp_%.2f\" % (snr_.value, exp_time_.value),\n sensitivity=sensitivity_)\n return u.Quantity(sensitivity) if len(sensitivity) > 1 else u.Quantity(sensitivity[0])","def __init__(self, quantum_efficiency=1.0,\n sample_rate_times_per_second=1.0,\n integration_time_seconds=0.1):\n self.quantum_efficiency = quantum_efficiency\n self.sample_rate_times_per_second = sample_rate_times_per_second\n self.integration_time_seconds = integration_time_seconds","def test_conserve_flux_redshift(self):\n sp = SourceSpectrum(self.sp_z0.model, z=1.3, z_type='conserve_flux')\n fac = 1 / (1 + sp.z)\n wave = [5000, 11500]\n assert_quantity_allclose(sp(wave), self.sp(wave) * fac)\n assert_quantity_allclose(sp.integrate(), self.sp_z0.integrate())","def evaluate(self, wavelength):\n micron = wavelength.to(u.micron).value\n x = 1 / micron\n optical_indx = np.where(np.logical_and(0.63 <= micron, micron <= 2.20))\n ir_indx = np.where(np.logical_and(0.12 <= micron, micron <= 0.63))\n x = np.asarray(x)\n if x.ndim == 0:\n x = x[None]\n k = np.empty(len(x))\n k[optical_indx] = 2.659 * (-1.857 + 1.040 * x) + self.Rv\n k[ir_indx] = 2.659 * (-2.156 + 1.509 * x - 0.198 * x**2 + 0.011 * x**3) + self.Rv\n return k","def harmonic_oscillator_test(stepper_type, dt):\n def f(ys, _):\n dy = np.zeros(np.shape(ys))\n dy[0] = ys[1]\n dy[1] = -ys[0]\n return dy\n T = 0\n T_F = 10\n ys = np.array([0, 1], dtype=np.float64)\n ylist = [0]\n solver = stepper_type(f, T, ys, T_F, max_step=dt)\n while solver.status == 'running':\n solver.step()\n ylist.append(np.copy(solver.y[0]))\n yarr = np.array(ylist)\n exact = np.array([np.sin(i * dt) for i in range(len(yarr))])\n return common.l2_norm(yarr, exact)","def scipy_romberg_1d(q):\n evals = [0]\n def outer(theta):\n evals[0] += 1\n return kernel_1d(q, theta=theta)*abs(sin(theta))\n result = romberg(outer, THETA_LOW, THETA_HIGH, divmax=100)*SCALE\n print(\"scipy romberg\", evals[0], result)","def ricker(freq, length, dt, peak_time):\n t = np.arange(-peak_time, (length)*dt - peak_time, dt, dtype=np.float32)\n y = ((1.0 - 2.0*(np.pi**2)*(freq**2)*(t**2))\n * np.exp(-(np.pi**2)*(freq**2)*(t**2)))\n return y","def _coupling(qin, horn_rx, wavelength):\n\n whorn = horn_rx.w\n zoff = horn_rx.z\n\n if isinstance(wavelength, np.ndarray):\n qout = np.zeros(len(wavelength), dtype=complex)\n for i in range(len(wavelength)):\n qout[i] = transform_beam(_freespace_matrix(zoff[i]), qin[i])\n else:\n qout = transform_beam(_freespace_matrix(zoff), qin)\n\n w = np.sqrt(wavelength / (np.pi * np.imag(-1 / qout)))\n\n r = 1 / (np.real(1 / qout))\n\n coupling = 4 / ((((w / whorn) + (whorn / w))**2 +\n ((np.pi * whorn * w / wavelength)**2) *\n (((1 / r) - (1 / 1e50))**2)))\n\n return coupling","def quantum_theta(self):\n return quantum_theta(self.T_e, self.n_e)","def harmonic_cqt(x_in, sr, hop_length=1024, fmin=27.5, n_bins=72,\n n_harmonics=5, bins_per_octave=36, tuning=0.0, filter_scale=1,\n aggregate=None, norm=1, sparsity=0.0, real=False):\n\n kwargs = dict(n_bins=n_bins, bins_per_octave=bins_per_octave,\n hop_length=hop_length, sr=sr, tuning=tuning,\n filter_scale=filter_scale, aggregate=aggregate, norm=norm,\n sparsity=sparsity, real=real)\n\n cqt_spectra = []\n min_tdim = np.inf\n for i in range(1, n_harmonics + 1):\n cqt_spectra += [np.array([librosa.cqt(x_c, fmin=i * fmin, **kwargs).T\n for x_c in x_in.T])[:, np.newaxis, ...]]\n min_tdim = min([cqt_spectra[-1].shape[2], min_tdim])\n cqt_spectra = [x[:, :, :min_tdim, :] for x in cqt_spectra]\n\n return np.concatenate(cqt_spectra, axis=1)","def omega(x):\n # if ramp_start_time - ramp_constant_time <= x <= end_ramp_end_time + ramp_constant_time:\n # f_t0 = smooth_factor * (x - ramp_start_time)\n # f_t1 = smooth_factor * (x - i_ramp_end_time)\n # if ramp_mode == 'with_end_acc':\n # f_t2 = smooth_factor * (x - steady_end_time)\n # f_t3 = smooth_factor * (x - end_ramp_end_time)\n # elif ramp_mode == 'no_end_acc':\n # f_t2 = smooth_factor * ramp_start_time\n # f_t3 = smooth_factor * i_ramp_end_time\n\n # omegax = (ramp_stage_acceleration / 2) / smooth_factor * (\n # logcosh(f_t0) - logcosh(f_t1) + logcosh(f_t3) - logcosh(f_t2))\n # else:\n # if bstroke == 'yes' and x <= 2 * (end_ramp_end_time +\n # ramp_constant_time):\n # x -= end_ramp_end_time + ramp_constant_time\n # f_t0 = smooth_factor * (x - ramp_start_time)\n # f_t1 = smooth_factor * (x - i_ramp_end_time)\n # if ramp_mode == 'with_end_acc':\n # f_t2 = smooth_factor * (x - steady_end_time)\n # f_t3 = smooth_factor * (x - end_ramp_end_time)\n # elif ramp_mode == 'no_end_acc':\n # f_t2 = smooth_factor * ramp_start_time\n # f_t3 = smooth_factor * i_ramp_end_time\n\n # omegax = -(ramp_stage_acceleration / 2) / smooth_factor * (\n # logcosh(f_t0) - logcosh(f_t1) + logcosh(f_t3) -\n # logcosh(f_t2))\n # else:\n # omegax = 0\n\n if bstroke == 'no':\n f_t0 = smooth_factor * (x - ramp_start_time)\n f_t1 = smooth_factor * (x - i_ramp_end_time)\n if ramp_mode == 'with_end_acc':\n f_t2 = smooth_factor * (x - steady_end_time)\n f_t3 = smooth_factor * (x - end_ramp_end_time)\n elif ramp_mode == 'no_end_acc':\n f_t2 = smooth_factor * ramp_start_time\n f_t3 = smooth_factor * i_ramp_end_time\n\n omegax = (ramp_stage_acceleration / 2) / smooth_factor * (\n logcosh(f_t0) - logcosh(f_t1) + logcosh(f_t3) - logcosh(f_t2))\n\n else:\n if x <= end_ramp_end_time + ramp_constant_time:\n f_t0 = smooth_factor * (x - ramp_start_time)\n f_t1 = smooth_factor * (x - i_ramp_end_time)\n if ramp_mode == 'with_end_acc':\n f_t2 = smooth_factor * (x - steady_end_time)\n f_t3 = smooth_factor * (x - end_ramp_end_time)\n elif ramp_mode == 'no_end_acc':\n f_t2 = smooth_factor * ramp_start_time\n f_t3 = smooth_factor * i_ramp_end_time\n\n omegax = (ramp_stage_acceleration /\n 2) / smooth_factor * (logcosh(f_t0) - logcosh(f_t1) +\n logcosh(f_t3) - logcosh(f_t2))\n\n else:\n x -= end_ramp_end_time + ramp_constant_time\n f_t0 = smooth_factor * (x - ramp_start_time)\n f_t1 = smooth_factor * (x - i_ramp_end_time)\n if ramp_mode == 'with_end_acc':\n f_t2 = smooth_factor * (x - steady_end_time)\n f_t3 = smooth_factor * (x - end_ramp_end_time)\n elif ramp_mode == 'no_end_acc':\n f_t2 = smooth_factor * ramp_start_time\n f_t3 = smooth_factor * i_ramp_end_time\n\n omegax = -(ramp_stage_acceleration / 2) / smooth_factor * (\n logcosh(f_t0) - logcosh(f_t1) + logcosh(f_t3) -\n logcosh(f_t2))\n\n return omegax","def _phi2psi(self):\n try:\n locq = self.param_q(self.rhotor)\n except:\n self._readeqdsk(self.shot)\n locq = self.param_q(self.rhotor)\n \n locphi = self.rhotor**2\n psi = integrate.cumtrapz(1/locq,locphi)\n psi = np.concatenate([[0], psi])\n psi = psi/max(psi)\n self.param_psi = interpolate.interp1d(self.rhotor, psi) \n \n\n # tmpnum=100000\n # locq = self.param_q(np.linspace(0,1,tmpnum)) #augmenting precision near the core\n # locphi = self.rhotor**2\n # locphi_p = interpolate.interp1d(np.linspace(0,1,len(locphi)),locphi)\n # locphi = locphi_p(np.linspace(0,1,tmpnum))\n # psi = integrate.cumtrapz(1/locq,locphi)\n # psi = np.concatenate([[0], psi])\n # psi = psi/max(psi)\n # rhopsi = psi**0.5\n # self.param_psi = interpolate.interp1d(np.linspace(0,1,tmpnum), rhopsi)","def quantum(self):\n return self._quantum","def vol(x):\r\n return pi*(topdia(x)/2000.)**2 * length (x)","def perfectrefl(wavelength):\n return 1.0"],"string":"[\n \"def _calculate_strehl(self):\\n\\n self.strehl = np.exp(-1*((2*np.pi/self.science_wavelength)*self.high_order_wfe)**2)\",\n \"def rochelobe(q):\\n return 0.49*q**(2./3)/(0.6*q**(2./3) + log(1+q**(1./3)))\",\n \"def soundspeed(temp,pres):\\n g_p = liq_g(0,1,temp,pres)\\n g_tt = liq_g(2,0,temp,pres)\\n g_tp = liq_g(1,1,temp,pres)\\n g_pp = liq_g(0,2,temp,pres)\\n csqinv = (g_tp**2/g_tt - g_pp) / g_p**2\\n c = csqinv**(-.5)\\n return c\",\n \"def _Q(self, chi, eta, L):\\n return self.r**2 * chi**2 * np.cos(eta)**2 + L**2 / np.tan(self.theta)**2\",\n \"def Q_stock(self):\\n return self._Q_sys * (self._C_sys / self._C_stock).to(u.dimensionless)\",\n \"def upsilon_rho( self ) :\\n from GaudiConfUtils.ConfigurableGenerators import DaVinci__N3BodyDecays \\n #\\n return self.make_selection (\\n 'Y&pipi' ,\\n DaVinci__N3BodyDecays ,\\n [ self.upsilons() , self.pions() ] ,\\n ## algorithm properties \\n DecayDescriptor = \\\" Upsilon(4S) -> J/psi(1S) pi+ pi-\\\" ,\\n Combination12Cut = \\\"\\\"\\\"\\n ( AM < 15 * GeV ) &\\n ( ACHI2DOCA(1,2) < 16 )\\n \\\"\\\"\\\" ,\\n CombinationCut = \\\"\\\"\\\"\\n ( AM < 15 * GeV ) &\\n ( AM23 < 1050 * MeV ) & \\n ( ( AM - AM1 - AM23 ) < 2.5 * GeV ) &\\n ( ACHI2DOCA(1,3) < 16 ) &\\n ( ACHI2DOCA(2,3) < 16 )\\n \\\"\\\"\\\" ,\\n MotherCut = \\\" chi2vxndf< 10 \\\" ,\\n )\",\n \"def __init__(self, trap=2.5*10**16, Keq=1.0*10**17,\\n EHdecay=1.0*10**-10, Etrap=2.0*10**-10, FHloss=8.0*10**-12,\\n G3decay = 0, step=200*ps, pretime=2, reprate=80000000,\\n verbose=False, trackQ=False, scalar=1, Gdecay=0, GHdecay=0,\\n tolerance=0.005, G2decay=0. ,Gescape=1., Gform=1., G3loss=0.):\\n # Some other variables used\\n self.tolerance = tolerance\\n self.scalar = scalar\\n self.verbose = verbose\\n self.reprate = reprate\\n self.duration = 1.00 / reprate\\n self.step = step\\n self.steps = int(self.duration / self.step)\\n self.powers = []\\n self.pretime = pretime\\n # Variables which hold state densities\\n self.exciton = []\\n self.hole = []\\n self.electron = []\\n self.trap = (trap) # Total number of traps\\n self.filled = [] # Filled traps\\n self.signal = []\\n self.xsignal = []\\n self.ehsignal = []\\n self.xloss = []\\n self.tloss = []\\n self.pulses = []\\n self.qk = []\\n self.trackQ = trackQ\\n # Rate and equilibrium constants, corrected for time step size\\n self.Keq = Gescape/Gform # Equilibrium constant for X<-->e+h\\n self.EHdecay = (EHdecay * step) # e+h->ground\\n self.Etrap = (Etrap * step) # e+trap->filled\\n self.FHloss = (FHloss * step) # filled+h->ground\\n self.Gdecay = Gdecay * step\\n self.G2decay = G2decay * step\\n self.G3decay = G3decay * step\\n self.GHdecay = GHdecay * step\\n self.Gescape = Gescape * step\\n self.G3loss = G3loss * step\\n self.Gform = Gform * step\",\n \"def sound_horizon_EH(self):\\n om_m = self.omega_cb\\n om_b = self.omega_b\\n om_n = np.sum(self.omega_nu)\\n h = self.h \\n if self.M_nu_tot == 0.: rs = 44.5*np.log(9.83/om_m)/np.sqrt(1+10*om_b**0.75)*h\\n else: rs = 55.154*np.exp(-72.3*(om_n+0.0006)**2.)/(om_m**0.25351*om_b**0.12807)*h\\n return rs\",\n \"def signal_as(self, temperature, x_mol=None, nu_s=None, pump_lw=None,\\n synth_mode=None, eq_func=eq_comp, **kwargs):\\n if synth_mode is None:\\n self.synth_mode = {'pump_ls': 'Gaussian',\\n 'chi_rs': 'G-matrix',\\n 'convol': 'Kataoka',\\n 'doppler_effect': False,\\n 'chem_eq': False,\\n }\\n else:\\n self.synth_mode = synth_mode\\n\\n if x_mol is None:\\n x_mol = self.init_comp[self.ls_factors.species]\\n\\n if self.synth_mode['chem_eq']:\\n gas_comp = eq_func(temperature, self.pressure, self.init_comp)\\n gas_comp = comp_normalize(gas_comp)\\n N_species = gas_comp[\\n self.ls_factors.species]*self.num_dens(temperature)\\n chi_nrs = self.chi_nrs_est(temperature, local_comp=gas_comp)*1e-18\\n self.local_comp = gas_comp\\n else:\\n # Species number density\\n N_species = x_mol*self.num_dens(temperature)\\n # Estimated nonresonant contribution based on given gas composition\\n chi_nrs = self.chi_nrs_est(temperature)*1e-18\\n\\n # Specify the spectral domain\\n if nu_s is None:\\n # Ideally the grid should be much finer to correctly cover the\\n # high-J transitions\\n nu_s = np.linspace(2260, 2345, num=10000)\\n\\n # Compute the resonant contribution\\n if self.synth_mode['chi_rs'] == 'isolated':\\n chi_rs = self.chi_rs_isolated(nu_s, temperature, **kwargs)\\n elif self.synth_mode['chi_rs'] == 'G-matrix':\\n chi_rs = self.chi_rs_gmat(nu_s, temperature, **kwargs)\\n else:\\n raise ValueError(\\\"Unknown method. Only 'isolated' or 'G-matrix' \\\"\\n \\\"are available\\\")\\n\\n # Compute the signal without pump laser convolution\\n chi = (N_species*chi_rs + chi_nrs)*1e15\\n\\n # Consider Doppler broadening\\n if self.synth_mode['doppler_effect']:\\n _lw = self.ls_factors.doppler_lw(temperature)\\n _ls = gaussian_line(nu_s, (nu_s[0]+nu_s[-1])/2, _lw)\\n\\n chi = np.convolve(chi, _ls, 'same')\\n\\n I_as = np.abs(chi)**2\\n\\n # Convolution with pump laser profile\\n if pump_lw is not None:\\n pump = []\\n # Compute the pump laser line\\n if self.synth_mode['pump_ls'] == 'Gaussian':\\n pump = gaussian_line(nu_s, (nu_s[0]+nu_s[-1])/2, pump_lw)\\n elif self.synth_mode['pump_ls'] == 'Lorentzian':\\n pump = lorentz_line(nu_s, (nu_s[0]+nu_s[-1])/2, pump_lw)\\n\\n # Compute the convolution with Yuratich method (one convolution)\\n if self.synth_mode['convol'] in ('Yuratich', 'Kataoka', 'Y', 'K'):\\n I_as = np.convolve(I_as, pump, 'same')\\n\\n # Compute the convolution with Kataoka method (two convolutions)\\n if self.synth_mode['convol'] in ('Kataoka', 'K'):\\n chi_convol = np.convolve(chi, pump, 'same')\\n # A correction factor is needed for the convolve(A)**2 v.s.\\n # convolve(A**2)\\n _corr = nu_s[1] - nu_s[0]\\n I_as = 1/2*(I_as + _corr*np.abs(chi_convol)**2)\\n\\n return nu_s, I_as\",\n \"def func(y, t, N_osc, omg, epsilon):\\n y_help = zeros((N_osc)) # sum over sines\\n for i in arange(N_osc): \\n y_help[i] = sum(sin(y-y[i]))\\n return (omg + epsilon*y_help/N_osc)\",\n \"def test_double_ended_ols_wls_fix_gamma_estimate_synthetic():\\n from dtscalibration import DataStore\\n import numpy as np\\n\\n np.random.seed(0)\\n\\n cable_len = 100.\\n nt = 500\\n time = np.arange(nt)\\n x = np.linspace(0., cable_len, 100)\\n ts_cold = np.ones(nt) * 4.\\n ts_warm = np.ones(nt) * 20.\\n\\n C_p = 15246\\n C_m = 2400.\\n dalpha_r = 0.0005284\\n dalpha_m = 0.0004961\\n dalpha_p = 0.0005607\\n gamma = 482.6\\n cold_mask = x < 0.5 * cable_len\\n warm_mask = np.invert(cold_mask) # == False\\n temp_real = np.ones((len(x), nt))\\n temp_real[cold_mask] *= ts_cold + 273.15\\n temp_real[warm_mask] *= ts_warm + 273.15\\n\\n st = C_p * np.exp(-dalpha_r * x[:, None]) * \\\\\\n np.exp(-dalpha_p * x[:, None]) * np.exp(gamma / temp_real) / \\\\\\n (np.exp(-gamma / temp_real) - 1)\\n ast = C_m * np.exp(-dalpha_r * x[:, None]) * \\\\\\n np.exp(-dalpha_m * x[:, None]) / (np.exp(-gamma / temp_real) - 1)\\n rst = C_p * np.exp(-dalpha_r * (-x[:, None] + cable_len)) * \\\\\\n np.exp(-dalpha_p * (-x[:, None] + cable_len)) * \\\\\\n np.exp(gamma / temp_real) / (np.exp(-gamma / temp_real) - 1)\\n rast = C_m * np.exp(-dalpha_r * (-x[:, None] + cable_len)) * np.exp(\\n -dalpha_m * (-x[:, None] + cable_len)) / \\\\\\n (np.exp(-gamma / temp_real) - 1)\\n\\n alpha = np.mean(np.log(rst / rast) - np.log(st / ast), axis=1) / 2\\n\\n ds = DataStore({\\n 'st': (['x', 'time'], st),\\n 'ast': (['x', 'time'], ast),\\n 'rst': (['x', 'time'], rst),\\n 'rast': (['x', 'time'], rast),\\n 'userAcquisitionTimeFW': (['time'], np.ones(nt)),\\n 'userAcquisitionTimeBW': (['time'], np.ones(nt)),\\n 'cold': (['time'], ts_cold),\\n 'warm': (['time'], ts_warm)\\n },\\n coords={\\n 'x': x,\\n 'time': time},\\n attrs={\\n 'isDoubleEnded': '1'})\\n\\n sections = {\\n 'cold': [slice(0., 0.5 * cable_len)],\\n 'warm': [slice(0.5 * cable_len, cable_len)]}\\n\\n # OLS\\n ds.calibration_double_ended(sections=sections,\\n st_label='st',\\n ast_label='ast',\\n rst_label='rst',\\n rast_label='rast',\\n method='ols',\\n solver='sparse',\\n fix_gamma=(gamma, 0.))\\n\\n np.testing.assert_almost_equal(\\n ds.gamma.values, gamma, decimal=6)\\n np.testing.assert_almost_equal(\\n ds.alpha.values, alpha, decimal=8)\\n np.testing.assert_almost_equal(\\n ds.TMPF.values, temp_real - 273.15, decimal=4)\\n np.testing.assert_almost_equal(\\n ds.TMPB.values, temp_real - 273.15, decimal=4)\\n np.testing.assert_almost_equal(\\n ds.TMPW.values, temp_real - 273.15, decimal=4)\\n\\n # WLS\\n ds.calibration_double_ended(sections=sections,\\n st_label='st',\\n ast_label='ast',\\n rst_label='rst',\\n rast_label='rast',\\n st_var=1e-7,\\n ast_var=1e-7,\\n rst_var=1e-7,\\n rast_var=1e-7,\\n method='wls',\\n solver='sparse',\\n tmpw_mc_size=5,\\n fix_gamma=(gamma, 0.))\\n\\n np.testing.assert_almost_equal(\\n ds.gamma.values, gamma, decimal=6)\\n np.testing.assert_almost_equal(\\n ds.alpha.values, alpha, decimal=7)\\n np.testing.assert_almost_equal(\\n ds.TMPF.values, temp_real - 273.15, decimal=4)\\n np.testing.assert_almost_equal(\\n ds.TMPB.values, temp_real - 273.15, decimal=4)\\n np.testing.assert_almost_equal(\\n ds.TMPW.values, temp_real - 273.15, decimal=4)\\n\\n pass\",\n \"def q_(w,R,lam=1064.0e-9):\\n\\n if R!=np.inf:\\n q=np.pi*w**2*R/(np.pi*w**2-1j*R*lam)\\n else:\\n q=1j*np.pi*w**2/lam\\n\\n return q\",\n \"def calculate_Q(self):\\n if self.__delta_time is Timestamp.QUARTERS:\\n q = 96\\n elif self.__delta_time is Timestamp.HOURS:\\n q = 24\\n else:\\n q = 1\\n return q\",\n \"def unphysical_riemann_solution(q_l,q_r):\\n f = lambda q: 0.5*q*q\\n states = np.array([[q_l, q_r]])\\n # Shock wave or expansion shock wave\\n shock_speed = (f(q_l)-f(q_r))/(q_l-q_r)\\n speeds = [shock_speed]\\n wave_types = ['shock']\\n def reval(xi):\\n q = np.zeros((1,len(xi)))\\n q[0,:] = (xi < shock_speed)*q_l \\\\\\n + (xi >=shock_speed)*q_r\\n return q\\n\\n return states, speeds, reval, wave_types\",\n \"def q_2_rh(temp, pressure, qair):\\n mr = qair / (1-qair)\\n e = mr * pressure / (0.62197 + mr)\\n # convert temperature to saturated vapor pressure\\n es = 611.2 * np.exp(17.67 * (temp - 273.15) / (temp - 29.65))\\n rh = e / es\\n rh[rh > 1] = 1\\n rh[rh < 0] = 0\\n return rh\",\n \"def get_experimental_spectra(mol):\\n\\n data = pd.read_csv(mol, sep=',')\\n wavelength = data.values[:, 0]\\n\\n absorption = data.values[:, 1]\\n\\n func = interp1d(wavelength, absorption, kind='quadratic')\\n wavelength_new = 1. / np.linspace(1. / wavelength.max(), 1. / wavelength.min(), 100)\\n absorption_new = func(wavelength_new)\\n absorption_new *= 100. / absorption_new.max()\\n\\n return wavelength_new, absorption_new\",\n \"def simulate_quantities_of_interest_superoperator(tlist, c_ops, noise_parameters_CZ, fluxlutman,\\n fluxbias_q1, amp,\\n sim_step,\\n verbose: bool=True):\\n\\n H_0=calc_hamiltonian(0,fluxlutman,noise_parameters_CZ) # computed at 0 amplitude\\n # NOTE: parameters of H_0 could be not exactly e.g. the bare frequencies\\n\\n # We change the basis from the standard basis to the basis of eigenvectors of H_0\\n # The columns of S are the eigenvectors of H_0, appropriately ordered\\n if noise_parameters_CZ.dressed_compsub():\\n S = qtp.Qobj(matrix_change_of_variables(H_0),dims=[[3, 3], [3, 3]])\\n else:\\n S = qtp.tensor(qtp.qeye(3),qtp.qeye(3)) # line here to quickly switch off the use of S\\n H_0_diag = S.dag()*H_0*S\\n\\n #w_q0 = fluxlutman.q_freq_01()\\n w_q0 = (H_0_diag[1,1]-H_0_diag[0,0]) / (2*np.pi)\\n #w_q1 = fluxlutman.q_freq_10()\\n w_q1 = (H_0_diag[3,3]-H_0_diag[0,0]) / (2*np.pi)\\n\\n # H_rotateaway = coupled_transmons_hamiltonian_new(w_q0=w_q0, w_q1=w_q1, \\n # alpha_q0=-2*w_q0, alpha_q1=-2*w_q1, J=0)\\n\\n w_q1_sweetspot = noise_parameters_CZ.w_q1_sweetspot()\\n # Correction up to second order of the frequency due to flux noise, computed from w_q0(phi) = w_q0^sweetspot * sqrt(cos(pi * phi/phi_0))\\n w_q1_biased = w_q1 - np.pi/2 * (w_q1_sweetspot**2/w_q1) * np.sqrt(1 - (w_q1**4/w_q1_sweetspot**4)) * fluxbias_q1 - \\\\\\n - np.pi**2/2 * w_q1_sweetspot * (1+(w_q1**4/w_q1_sweetspot**4)) / (w_q1/w_q1_sweetspot)**3 * fluxbias_q1**2\\n # with sigma up to circa 1e-3 \\\\mu\\\\Phi_0 the second order is irrelevant\\n correction_to_H = coupled_transmons_hamiltonian_new(w_q0=0, w_q1=np.real(w_q1_biased-w_q1), alpha_q0=0, alpha_q1=0, J=0)\\n\\n\\n t0 = time.time()\\n\\n exp_L_total=1\\n for i in range(len(amp)):\\n H=calc_hamiltonian(amp[i],fluxlutman,noise_parameters_CZ) + correction_to_H\\n H=S.dag()*H*S\\n if c_ops != []:\\n c_ops_temp=[]\\n for c in range(len(c_ops)):\\n if isinstance(c_ops[c],list):\\n c_ops_temp.append(c_ops[c][0]*c_ops[c][1][i]) # c_ops are already in the H_0 basis\\n else:\\n c_ops_temp.append(c_ops[c])\\n liouville_exp_t=(qtp.liouvillian(H,c_ops_temp)*sim_step).expm()\\n else:\\n liouville_exp_t=(-1j*H*sim_step).expm()\\n exp_L_total=liouville_exp_t*exp_L_total\\n\\n t1 = time.time()\\n #print('\\\\n alternative propagator',t1-t0)\\n\\n\\n U_final = exp_L_total\\n #U_final=rotating_frame_transformation_new(U_final, fluxlutman.cz_length(), H_0_diag)\\n\\n phases = phases_from_superoperator(U_final) # order is phi_00, phi_01, phi_10, phi_11, phi_02, phi_20, phi_cond\\n phi_cond = phases[-1]\\n L1 = leakage_from_superoperator(U_final)\\n population_02_state = calc_population_02_state(U_final)\\n L2 = seepage_from_superoperator(U_final)\\n avgatefid = pro_avfid_superoperator_phasecorrected(U_final,phases)\\n avgatefid_compsubspace = pro_avfid_superoperator_compsubspace_phasecorrected(U_final,L1,phases) # leakage has to be taken into account, see Woods & Gambetta\\n #print('avgatefid_compsubspace',avgatefid_compsubspace)\\n\\n \\n \\n #H_twoqubits = coupled_transmons_hamiltonian_new(w_q0=w_q0, w_q1=w_q1, \\n # alpha_q0=-2*w_q0, alpha_q1=-2*w_q1, J=0)\\n #U_final_new = rotating_frame_transformation_new(U_final, fluxlutman.cz_length(), H_twoqubits) ### old method rotating away also the phase of the |2> state\\n\\n t = tlist[-1]+sim_step\\n U_final_new = correct_reference(U=U_final,w_q1=w_q1,w_q0=w_q0,t=t)\\n\\n ### Script to check that we are correctly removing the single qubit phases in the rotating frame\\n # cz_length = fluxlutman.cz_length()\\n # U_check = (1j*H_twoqubits*cz_length).expm() * (-1j*H_0_diag*cz_length).expm()\\n # phases_check = phases_from_superoperator(U_check)\\n # print(phases_check)\\n\\n \\n avgatefid_compsubspace_notphasecorrected = pro_avfid_superoperator_compsubspace(U_final_new,L1)\\n # NOTE: a single qubit phase off by 30 degrees costs 5.5% fidelity\\n\\n ### Script to check that leakage and phi_cond are not affected by the phase correction, as it should be\\n # L1_bis = leakage_from_superoperator(U_final_new)\\n # phi_cond_bis = phases_from_superoperator(U_final_new)[-1]\\n # print('leakage',L1-L1_bis)\\n # print('phi_cond',phi_cond-phi_cond_bis)\\n\\n phases = phases_from_superoperator(U_final_new) # order is phi_00, phi_01, phi_10, phi_11, phi_02, phi_20, phi_cond\\n phase_q0 = (phases[1]-phases[0]) % 360\\n phase_q1 = (phases[2]-phases[0]) % 360\\n\\n\\n # We now correct only for the phase of qubit left (q1), in the rotating frame\\n avgatefid_compsubspace_pc_onlystaticqubit = pro_avfid_superoperator_compsubspace_phasecorrected_onlystaticqubit(U_final_new,L1,phases)\\n \\n\\n return {'phi_cond': phi_cond, 'L1': L1, 'L2': L2, 'avgatefid_pc': avgatefid,\\n 'avgatefid_compsubspace_pc': avgatefid_compsubspace, 'phase_q0': phase_q0, 'phase_q1': phase_q1,\\n 'avgatefid_compsubspace': avgatefid_compsubspace_notphasecorrected,\\n 'avgatefid_compsubspace_pc_onlystaticqubit': avgatefid_compsubspace_pc_onlystaticqubit, 'population_02_state': population_02_state,\\n 'U_final_new': U_final_new}\",\n \"def Iq(q, lorentz_scale, porod_scale, cor_length, porod_exp, lorentz_exp):\\n with errstate(divide='ignore'):\\n porod = porod_scale / q**porod_exp\\n lorentz = lorentz_scale / (1.0 + (q * cor_length)**lorentz_exp)\\n inten = porod + lorentz\\n return inten\",\n \"def hum(self, lai, tl, psi_l, qa):\\n\\t return max((1./((1./(self.GA*1000.))+(1./(self.GH*1000.))))*lai*1000.*RHO_A/RHO_W*(qa-self.qi(tl, psi_l)), 0.)\",\n \"def seriesResistance(self):\\n return 13.38 * math.pow(self.concentration, -0.8397)\",\n \"def compute_hcqt(audio_fpath):\\n (bins_per_octave, n_octaves, harmonics,\\n sr, f_min, hop_length) = get_hcqt_params()\\n y, fs = librosa.load(audio_fpath, sr=sr)\\n\\n cqt_list = []\\n shapes = []\\n for h in harmonics:\\n cqt = librosa.cqt(\\n y, sr=fs, hop_length=hop_length, fmin=f_min*float(h),\\n n_bins=bins_per_octave*n_octaves,\\n bins_per_octave=bins_per_octave\\n )\\n cqt_list.append(cqt)\\n shapes.append(cqt.shape)\\n\\n shapes_equal = [s == shapes[0] for s in shapes]\\n if not all(shapes_equal):\\n min_time = np.min([s[1] for s in shapes])\\n new_cqt_list = []\\n for i in range(len(cqt_list)):\\n new_cqt_list.append(cqt_list[i][:, :min_time])\\n cqt_list = new_cqt_list\\n\\n log_hcqt = ((1.0/80.0) * librosa.core.amplitude_to_db(\\n np.abs(np.array(cqt_list)), ref=np.max)) + 1.0\\n\\n return log_hcqt\",\n \"def helmholtzenergy(temp,pres):\\n g = liq_g(0,0,temp,pres)\\n g_p = liq_g(0,1,temp,pres)\\n f = g - pres*g_p\\n return f\",\n \"def explorentzian(mu, wid, timeconstant, x): \\n g = lorentzian( mu, wid, x )\\n \\n hly = np.round( len(g) / 2.0 )\\n ey = np.r_[np.zeros(hly),g,np.zeros(hly)]\\n fy = np.fft.fft(ey)\\n a = np.exp(-(np.arange(len(fy))) / timeconstant )\\n fa = np.fft.fft(a)\\n fy1 = fy * fa\\n ybz = np.real(np.fft.ifft(fy1)) / np.sum(a)\\n yb = ybz[hly:len(ybz)-hly]\\n \\n return yb\",\n \"def signal_rsi(self):\\n pass\",\n \"def _q_x(self):\\n lambda_r = self.latt_par['lambda_r'].value \\n return 2*np.pi*self.k/lambda_r\",\n \"def Lq(self):\\n if not self.isVaild():\\n pass\\n temp = ((self.r()**self.C)*self.Rho()) / \\\\\\n (math.factorial(self.C)*((1 - self.Rho())**2))\\n return temp*self.P0()\",\n \"def solve_linear_harmonic_oscillator(t, initial_ampl, initial_velocity, resonance_freq, damping = 0.0, drive_ampl = 0.0, drive_ang_freq = 0.0):\\n\\n\\n x = initial_ampl\\n p = initial_velocity\\n y0 = [initial_ampl, initial_velocity]\\n y1 = odeint(dy, y0, t, args=(damping, resonance_freq, drive_ampl, drive_ang_freq)) # under damped\\n return y1[:,0], y1[:,1]\",\n \"def logistic_equation(conc,drugless_rate,ic50,hc=-0.6824968):\\n \\n # conc = conc/10**6\\n f = drugless_rate/(1+np.exp((ic50-np.log10(conc))/hc))\\n \\n return f\",\n \"def quantify_cf(lags, cf, plot=False):\\n\\n # identify the peak magnitude\\n abs_cf = np.abs(cf)\\n peak_magnitude = abs_cf.max()\\n\\n # identify the peak delay\\n imax = abs_cf.argmax()\\n peak_delay = lags[imax]\\n\\n # compute the area under the curve\\n dt = np.diff(lags).max()\\n cf_width = abs_cf.sum()*dt\\n\\n # compute the skewdness\\n p = abs_cf / abs_cf.sum()\\n mean = np.sum(lags*p)\\n std = np.sqrt(np.sum(p*(abs_cf - mean)**2))\\n skew = np.sum(p*(abs_cf - mean)**3) / std**3\\n\\n # compute the left and right areas under the absolute curve\\n max_width = abs_cf[lags != 0].sum()*dt\\n right_width = abs_cf[lags > 0].sum()*dt\\n left_width = abs_cf[lags < 0].sum()*dt\\n\\n # create a measure of anisotropy from the AUCs\\n anisotropy = (right_width - left_width) / max_width\\n \\n li = lags < 0\\n ri = lags > 0\\n\\n # determine the mean lag time, i.e. the lag \\\"center of mass\\\". do this for each half\\n cfl = np.abs(cf[li]) / np.abs(cf[li]).sum()\\n left_lag = np.sum(cfl*lags[li])\\n cfr = np.abs(cf[ri]) / np.abs(cf[ri]).sum()\\n right_lag = np.sum(cfr*lags[ri])\\n\\n # integrate the right and left sides independently\\n dl = np.diff(lags).max()\\n left_sum = cf[li].sum()*dl\\n right_sum = cf[ri].sum()*dl\\n\\n # take the correlation coefficient at zero lag\\n cc = cf[lags == 0][0]\\n\\n if plot:\\n plt.figure()\\n plt.axhline(0, c='k')\\n plt.plot(lags, cf, 'r-', linewidth=3)\\n plt.axvline(peak_delay, c='g', alpha=0.75)\\n plt.ylim(-1, 1)\\n plt.axis('tight')\\n t = 'width=%0.1f, mean=%0.1f, std=%0.1f, skew=%0.1f, anisotropy=%0.2f' % (cf_width, mean, std, skew, anisotropy)\\n plt.title(t)\\n plt.show()\\n\\n return {'magnitude':peak_magnitude, 'delay':peak_delay, 'width':cf_width,\\n 'mean':mean, 'std':std, 'skew':skew, 'anisotropy':anisotropy,\\n 'left_lag':left_lag, 'right_lag':right_lag, 'left_sum':left_sum, 'right_sum':right_sum, 'cc':cc}\",\n \"def periodicity_metric(light_curve_rms, sm_phase_rms):\\n return (sm_phase_rms ** 2) / (light_curve_rms ** 2)\",\n \"def test_single_ended_ols_wls_fix_gamma_synthetic():\\n\\n from dtscalibration import DataStore\\n import numpy as np\\n\\n np.random.seed(0)\\n\\n cable_len = 100.\\n nt = 50\\n time = np.arange(nt)\\n x = np.linspace(0., cable_len, 500)\\n ts_cold = np.ones(nt) * 4.\\n ts_warm = np.ones(nt) * 20.\\n\\n C_p = 15246\\n C_m = 2400.\\n dalpha_r = 0.0005284\\n dalpha_m = 0.0004961\\n dalpha_p = 0.0005607\\n gamma = 482.6\\n cold_mask = x < 0.5 * cable_len\\n warm_mask = np.invert(cold_mask) # == False\\n temp_real = np.ones((len(x), nt))\\n temp_real[cold_mask] *= ts_cold + 273.15\\n temp_real[warm_mask] *= ts_warm + 273.15\\n\\n st = C_p * np.exp(-dalpha_r * x[:, None]) * \\\\\\n np.exp(-dalpha_p * x[:, None]) * \\\\\\n np.exp(gamma / temp_real) / (np.exp(gamma / temp_real) - 1)\\n ast = C_m * np.exp(-dalpha_r * x[:, None]) * \\\\\\n np.exp(-dalpha_m * x[:, None]) / (np.exp(gamma / temp_real) - 1)\\n\\n print('alphaint', cable_len * (dalpha_p - dalpha_m))\\n print('alpha', dalpha_p - dalpha_m)\\n print('C', np.log(C_p / C_m))\\n print('x0', x.max())\\n\\n ds = DataStore({\\n 'st': (['x', 'time'], st),\\n 'ast': (['x', 'time'], ast),\\n 'userAcquisitionTimeFW': (['time'], np.ones(nt)),\\n 'cold': (['time'], ts_cold),\\n 'warm': (['time'], ts_warm)\\n },\\n coords={\\n 'x': x,\\n 'time': time},\\n attrs={\\n 'isDoubleEnded': '0'})\\n\\n sections = {\\n 'cold': [slice(0., 0.5 * cable_len)],\\n 'warm': [slice(0.5 * cable_len, cable_len)]}\\n\\n # OLS\\n ds.calibration_single_ended(sections=sections,\\n st_label='st',\\n ast_label='ast',\\n method='ols',\\n solver='sparse',\\n fix_gamma=(gamma, 0.))\\n\\n np.testing.assert_almost_equal(\\n ds.gamma.values, gamma, decimal=6)\\n np.testing.assert_almost_equal(\\n ds.dalpha.values, dalpha_p - dalpha_m, decimal=8)\\n np.testing.assert_almost_equal(\\n ds.TMPF.values, temp_real - 273.15, decimal=4)\\n\\n # WLS\\n ds.calibration_single_ended(sections=sections,\\n st_label='st',\\n ast_label='ast',\\n st_var=1.,\\n ast_var=1.,\\n method='wls',\\n solver='sparse',\\n fix_gamma=(gamma, 0.))\\n\\n np.testing.assert_almost_equal(\\n ds.gamma.values, gamma, decimal=6)\\n np.testing.assert_almost_equal(\\n ds.dalpha.values, dalpha_p - dalpha_m, decimal=8)\\n np.testing.assert_almost_equal(\\n ds.TMPF.values, temp_real - 273.15, decimal=4)\\n\\n pass\",\n \"def rho(flag, S, K, t, r, sigma, q):\\n\\n b = r-q\\n\\n return numerical_rho(flag, S, K, t, r, sigma, b, f)\",\n \"def prior_rho(store):\\n if store['rho'] > 0. and store['rho'] < 1.0:\\n alpha = 1.0\\n beta = 1.0\\n return (alpha - 1.) * log(store['rho']) + (beta - 1.) * \\\\\\n log(1.-store['rho'])\\n else:\\n return -1E256\",\n \"def effective_order_condition_residuals(self,q):\\n from sympy import factorial,Rational\\n A,b,c=self.A,self.b,self.c\\n C=snp.diag(c)\\n code=runge_kutta_order_conditions(q)\\n tau=snp.zeros([q,len(self)])\\n for j in range(1,q):\\n tau[j,:]=(c**j/j-np.dot(A,c**(j-1)))/factorial(j-1)\\n if q<=2:\\n z=snp.zeros(len(code)+1)\\n z[-1]=np.dot(b,c**(q-1))-Rational(1,q)\\n if q==3:\\n z=snp.zeros(len(code))\\n exec('z[0]='+code[0]+'-'+'np.dot(b,c**2)/2.+1/6.')\\n if q==4:\\n code2=runge_kutta_order_conditions(q-1)\\n z=snp.zeros(len(code)-1)\\n exec('z[0]='+code[1]+'-'+'np.dot(b,np.dot(A,c**2))/2.+1/24.')\\n exec('z[1]='+code2[0]+'-'+code[1]+'-'+code[2])\\n if q>4:\\n raise NotImplementedError\\n return z\",\n \"def post_rho(store):\\n return loglike(store) + prior_rho(store)\",\n \"def qrst_tm(x):\\n return 0.2228*x - 0.6685\",\n \"def set_initial_condition(self):\\n X0 = np.array([0.5, 0.5])\\n XB = self.bary\\n q0 = 1 + np.exp(-0.5*(np.sum((XB-X0[np.newaxis])**2., axis=1))/0.1**2)\\n q1 = np.zeros(q0.shape)\\n #import pdb; pdb.set_trace()\\n return np.array([q0, q1, q1]).T\",\n \"def compute_acceleration(energy, sigma, r):\\n return 0.5 * -LJForce(energy, sigma, magnitude(r)) * (r/magnitude(r))\",\n \"def test_set_hx(self):\\n s = State(substance=\\\"water\\\")\\n s.hx = Q_(1624328.2430353598, \\\"J/kg\\\"), Q_(0.5, \\\"dimensionless\\\")\\n # Pylance does not support NumPy ufuncs\\n assert np.isclose(s.T, Q_(400.0, \\\"K\\\")) # type: ignore\\n assert np.isclose(s.p, Q_(245769.34557103913, \\\"Pa\\\")) # type: ignore\\n assert np.isclose(s.xT[1], Q_(400.0, \\\"K\\\")) # type: ignore\\n assert np.isclose(s.xT[0], Q_(0.5, \\\"dimensionless\\\")) # type: ignore\\n assert np.isclose(s.u, Q_(1534461.5163075812, \\\"J/kg\\\")) # type: ignore\\n assert np.isclose(s.s, Q_(4329.703956664546, \\\"J/(kg*K)\\\")) # type: ignore\\n assert np.isclose(s.cp, Q_(4056.471547685226, \\\"J/(kg*K)\\\")) # type: ignore\\n assert np.isclose(s.cv, Q_(2913.7307270395363, \\\"J/(kg*K)\\\")) # type: ignore\\n assert np.isclose(s.v, Q_(0.3656547423394701, \\\"m**3/kg\\\")) # type: ignore\\n assert np.isclose(s.h, Q_(1624328.2430353598, \\\"J/kg\\\")) # type: ignore\\n assert np.isclose(s.x, Q_(0.5, \\\"dimensionless\\\")) # type: ignore\",\n \"def test_double_ended_ols_wls_fix_alpha_fix_gamma_estimate_synthetic():\\n from dtscalibration import DataStore\\n import numpy as np\\n\\n np.random.seed(0)\\n\\n cable_len = 100.\\n nt = 500\\n time = np.arange(nt)\\n x = np.linspace(0., cable_len, 100)\\n ts_cold = np.ones(nt) * 4.\\n ts_warm = np.ones(nt) * 20.\\n\\n C_p = 15246\\n C_m = 2400.\\n dalpha_r = 0.0005284\\n dalpha_m = 0.0004961\\n dalpha_p = 0.0005607\\n gamma = 482.6\\n cold_mask = x < 0.5 * cable_len\\n warm_mask = np.invert(cold_mask) # == False\\n temp_real = np.ones((len(x), nt))\\n temp_real[cold_mask] *= ts_cold + 273.15\\n temp_real[warm_mask] *= ts_warm + 273.15\\n\\n st = C_p * np.exp(-dalpha_r * x[:, None]) * \\\\\\n np.exp(-dalpha_p * x[:, None]) * np.exp(gamma / temp_real) / \\\\\\n (np.exp(-gamma / temp_real) - 1)\\n ast = C_m * np.exp(-dalpha_r * x[:, None]) * \\\\\\n np.exp(-dalpha_m * x[:, None]) / (np.exp(-gamma / temp_real) - 1)\\n rst = C_p * np.exp(-dalpha_r * (-x[:, None] + cable_len)) * \\\\\\n np.exp(-dalpha_p * (-x[:, None] + cable_len)) * \\\\\\n np.exp(gamma / temp_real) / (np.exp(-gamma / temp_real) - 1)\\n rast = C_m * np.exp(-dalpha_r * (-x[:, None] + cable_len)) * np.exp(\\n -dalpha_m * (-x[:, None] + cable_len)) / \\\\\\n (np.exp(-gamma / temp_real) - 1)\\n\\n alpha = np.mean(np.log(rst / rast) - np.log(st / ast), axis=1) / 2\\n\\n ds = DataStore({\\n 'st': (['x', 'time'], st),\\n 'ast': (['x', 'time'], ast),\\n 'rst': (['x', 'time'], rst),\\n 'rast': (['x', 'time'], rast),\\n 'userAcquisitionTimeFW': (['time'], np.ones(nt)),\\n 'userAcquisitionTimeBW': (['time'], np.ones(nt)),\\n 'cold': (['time'], ts_cold),\\n 'warm': (['time'], ts_warm)\\n },\\n coords={\\n 'x': x,\\n 'time': time},\\n attrs={\\n 'isDoubleEnded': '1'})\\n\\n sections = {\\n 'cold': [slice(0., 0.5 * cable_len)],\\n 'warm': [slice(0.5 * cable_len, cable_len)]}\\n\\n # OLS\\n ds.calibration_double_ended(sections=sections,\\n st_label='st',\\n ast_label='ast',\\n rst_label='rst',\\n rast_label='rast',\\n method='ols',\\n solver='sparse',\\n fix_gamma=(gamma, 0.),\\n fix_alpha=(alpha, np.zeros_like(alpha)))\\n\\n np.testing.assert_almost_equal(\\n ds.gamma.values, gamma, decimal=6)\\n np.testing.assert_almost_equal(\\n ds.alpha.values, alpha, decimal=8)\\n np.testing.assert_almost_equal(\\n ds.TMPF.values, temp_real - 273.15, decimal=4)\\n np.testing.assert_almost_equal(\\n ds.TMPB.values, temp_real - 273.15, decimal=4)\\n np.testing.assert_almost_equal(\\n ds.TMPW.values, temp_real - 273.15, decimal=4)\\n\\n # WLS\\n ds.calibration_double_ended(sections=sections,\\n st_label='st',\\n ast_label='ast',\\n rst_label='rst',\\n rast_label='rast',\\n st_var=1e-7,\\n ast_var=1e-7,\\n rst_var=1e-7,\\n rast_var=1e-7,\\n method='wls',\\n solver='sparse',\\n tmpw_mc_size=5,\\n fix_gamma=(gamma, 0.),\\n fix_alpha=(alpha, np.zeros_like(alpha)))\\n\\n np.testing.assert_almost_equal(\\n ds.gamma.values, gamma, decimal=6)\\n np.testing.assert_almost_equal(\\n ds.alpha.values, alpha, decimal=7)\\n np.testing.assert_almost_equal(\\n ds.TMPF.values, temp_real - 273.15, decimal=5)\\n np.testing.assert_almost_equal(\\n ds.TMPB.values, temp_real - 273.15, decimal=5)\\n np.testing.assert_almost_equal(\\n ds.TMPW.values, temp_real - 273.15, decimal=4)\\n\\n pass\",\n \"def modulation_lifetime(r, freq=1):\\n return np.sqrt(1 / np.abs(r) ** 2 - 1) / (2 * np.pi * freq)\",\n \"def exact_riemann_solution(q_l,q_r):\\n f = lambda q: 0.5*q*q\\n states = np.array([[q_l, q_r]])\\n if q_l > q_r: # Shock wave\\n shock_speed = (f(q_l)-f(q_r))/(q_l-q_r)\\n speeds = [shock_speed]\\n wave_types = ['shock']\\n def reval(xi):\\n q = np.zeros((1,len(xi)))\\n q[0,:] = (xi < shock_speed)*q_l \\\\\\n + (xi >=shock_speed)*q_r\\n return q\\n\\n else: # Rarefaction wave\\n c_l = q_l\\n c_r = q_r\\n\\n speeds = [[c_l,c_r]]\\n wave_types = ['rarefaction']\\n\\n def reval(xi):\\n q = np.zeros((1,len(xi)))\\n q[0,:] = (xi<=c_l)*q_l \\\\\\n + (xi>=c_r)*q_r \\\\\\n + (c_l<xi)*(xi<c_r)*xi\\n return q\\n\\n return states, speeds, reval, wave_types\",\n \"def test_double_ended_ols_wls_estimate_synthetic():\\n from dtscalibration import DataStore\\n import numpy as np\\n\\n np.random.seed(0)\\n\\n cable_len = 100.\\n nt = 50\\n time = np.arange(nt)\\n x = np.linspace(0., cable_len, 100)\\n ts_cold = np.ones(nt) * 4.\\n ts_warm = np.ones(nt) * 20.\\n\\n C_p = 15246\\n C_m = 2400.\\n dalpha_r = 0.0005284\\n dalpha_m = 0.0004961\\n dalpha_p = 0.0005607\\n gamma = 482.6\\n cold_mask = x < 0.5 * cable_len\\n warm_mask = np.invert(cold_mask) # == False\\n temp_real = np.ones((len(x), nt))\\n temp_real[cold_mask] *= ts_cold + 273.15\\n temp_real[warm_mask] *= ts_warm + 273.15\\n\\n st = C_p * np.exp(-dalpha_r * x[:, None]) * \\\\\\n np.exp(-dalpha_p * x[:, None]) * np.exp(gamma / temp_real) / \\\\\\n (np.exp(-gamma / temp_real) - 1)\\n ast = C_m * np.exp(-dalpha_r * x[:, None]) * \\\\\\n np.exp(-dalpha_m * x[:, None]) / (np.exp(-gamma / temp_real) - 1)\\n rst = C_p * np.exp(-dalpha_r * (-x[:, None] + cable_len)) * \\\\\\n np.exp(-dalpha_p * (-x[:, None] + cable_len)) * \\\\\\n np.exp(gamma / temp_real) / (np.exp(-gamma / temp_real) - 1)\\n rast = C_m * np.exp(-dalpha_r * (-x[:, None] + cable_len)) * np.exp(\\n -dalpha_m * (-x[:, None] + cable_len)) / \\\\\\n (np.exp(-gamma / temp_real) - 1)\\n\\n alpha = np.mean(np.log(rst / rast) - np.log(st / ast), axis=1) / 2\\n\\n ds = DataStore({\\n 'st': (['x', 'time'], st),\\n 'ast': (['x', 'time'], ast),\\n 'rst': (['x', 'time'], rst),\\n 'rast': (['x', 'time'], rast),\\n 'userAcquisitionTimeFW': (['time'], np.ones(nt)),\\n 'userAcquisitionTimeBW': (['time'], np.ones(nt)),\\n 'cold': (['time'], ts_cold),\\n 'warm': (['time'], ts_warm)\\n },\\n coords={\\n 'x': x,\\n 'time': time},\\n attrs={\\n 'isDoubleEnded': '1'})\\n\\n sections = {\\n 'cold': [slice(0., 0.5 * cable_len)],\\n 'warm': [slice(0.5 * cable_len, cable_len)]}\\n\\n # OLS\\n ds.calibration_double_ended(sections=sections,\\n st_label='st',\\n ast_label='ast',\\n rst_label='rst',\\n rast_label='rast',\\n method='ols',\\n solver='sparse')\\n\\n np.testing.assert_almost_equal(\\n ds.gamma.values, gamma, decimal=6)\\n np.testing.assert_almost_equal(\\n ds.alpha.values, alpha, decimal=7)\\n np.testing.assert_almost_equal(\\n ds.TMPF.values, temp_real - 273.15, decimal=4)\\n np.testing.assert_almost_equal(\\n ds.TMPB.values, temp_real - 273.15, decimal=4)\\n np.testing.assert_almost_equal(\\n ds.TMPW.values, temp_real - 273.15, decimal=4)\\n\\n # WLS\\n ds.calibration_double_ended(sections=sections,\\n st_label='st',\\n ast_label='ast',\\n rst_label='rst',\\n rast_label='rast',\\n st_var=1e-7,\\n ast_var=1e-7,\\n rst_var=1e-7,\\n rast_var=1e-7,\\n method='wls',\\n solver='sparse',\\n tmpw_mc_size=5)\\n\\n np.testing.assert_almost_equal(\\n ds.gamma.values, gamma, decimal=5)\\n np.testing.assert_almost_equal(\\n ds.alpha.values, alpha, decimal=6)\\n np.testing.assert_almost_equal(\\n ds.TMPF.values, temp_real - 273.15, decimal=4)\\n np.testing.assert_almost_equal(\\n ds.TMPB.values, temp_real - 273.15, decimal=4)\\n np.testing.assert_almost_equal(\\n ds.TMPW.values, temp_real - 273.15, decimal=4)\",\n \"def pme0(q, r, d, tau):\\n sHat = ( q*np.exp( -(r-d)**2 / (2*(tau**2)) ) \\\\\\n / ( q*np.exp( -(r-d)**2 / (2*(tau**2))) + (1-q)*np.exp( -r**2 / (2*(tau**2))) ) ).astype(float)\\n return sHat\",\n \"def _calculate_quilting_error(self, resistance=3.24e6):\\n\\n self.sigma_quilting = ((0.126*self.actuator_spacing**2)**2)/(resistance*self.thickness**2)\",\n \"def factor(self):\\n return np.real_if_close(self.scale * np.exp(1j*self.phase))\",\n \"def tGain(self, dt, r):\\n\\t return 1./(10.**6)*r#*precip.r\",\n \"def testRhoCrit():\\n units = unitsystem.UnitSystem()\\n assert units.rho_crit(0.7) == 9.204285430050004e-30\\n assert units.rho_crit(1.0) == 1.8784255979693885e-29\",\n \"def isobaric_rates(variables, time):\\n TiCl4, O2, T = variables\\n \\n k1 = A1*np.exp(-Ea/(R*T)) * 1e-3\\n\\n k2 = A2*np.exp(-Ea/(R*T)) * 1e-3\\n \\n delHr = (T-726.85)*(12/125) - 102\\n \\n if O2 - (k1+k2*np.sqrt(O2))*TiCl4*end_time/steps <= 0 or np.isclose(0,O2) :\\n return (0, 0, 0)\\n \\n else:\\n rate_TiCl4 = -(k1+k2*np.sqrt(O2))*TiCl4\\n rate_O2 = -(k1+k2*np.sqrt(O2))*TiCl4\\n \\n if initial_conditions[1] < initial_conditions[0]:\\n X = -rate_O2/initial_conditions[1]\\n else:\\n X = -rate_TiCl4/initial_conditions[0]\\n \\n \\n Cp_TiCl4 = A_TiCl4 + B_TiCl4*(T/1000) + C_TiCl4*((T/1000)**2) + D_TiCl4*((T/1000)**3) + E_TiCl4/((T/1000)**2)\\n \\n Cp_O2 = A_O2 + B_O2*(T/1000) + C_O2*((T/1000)**2) + D_O2*((T/1000)**3) + E_O2/((T/1000)**2)\\n \\n Cp_TiO2 = A_TiO2 + B_TiO2*(T/1000) + C_TiO2*((T/1000)**2) + D_TiO2*((T/1000)**3) + E_TiO2/((T/1000)**2)\\n \\n Cp_Cl2 = A_Cl2 + B_Cl2*(T/1000) + C_Cl2*((T/1000)**2) + D_Cl2*((T/1000)**3) + E_Cl2/((T/1000)**2)\\n \\n \\n rate_T = -delHr * np.min(initial_conditions) * X / (Cp_TiCl4 + (O20/TiCl40)*Cp_O2 - Cp_TiO2 - 2*Cp_Cl2)\\n \\n #print(X, rate_T)\\n \\n return (rate_TiCl4, rate_O2, rate_T)\",\n \"def momentum_indicators(df):\\n p = \\\"mom_\\\"\\n high, low, close = convert_df_to_features(df, False)\\n # AO\\n i = AwesomeOscillatorIndicator(high, low, 10, 70)\\n df[p + \\\"ao_10_log\\\"] = list(map(lambda x: uf.log_abs(x,\\n zeros=True), i.awesome_oscillator()))\\n # PPO\\n i = PercentagePriceOscillator(close, 40, 20, 10)\\n df[p + \\\"ppo_10_signal_log\\\"] = list(\\n map(lambda x: uf.log_abs(x * 1000), i.ppo_signal()))\\n i = PercentagePriceOscillator(close, 120, 60, 30)\\n df[p + \\\"ppo_30_hist\\\"] = i.ppo_hist()\\n # ROC\\n i = ROCIndicator(close, 50)\\n df[p + \\\"roc_50_log\\\"] = list(map(lambda x: uf.log_abs(x *\\n 100, zeros=True), i.roc()))\\n # RSI\\n i = RSIIndicator(close, 30)\\n df[p + \\\"rsi_30\\\"] = i.rsi()\\n # SR\\n i = StochasticOscillator(close, high, low, 54, 9)\\n df[p + \\\"sr_9_signal\\\"] = i.stoch_signal()\\n # SRSI\\n i = StochRSIIndicator(close, 90, 15, 15)\\n df[p + \\\"srsi_15_k\\\"] = i.stochrsi_k()\\n i = StochRSIIndicator(close, 180, 30, 30)\\n df[p + \\\"srsi_30\\\"] = i.stochrsi()\\n i = StochRSIIndicator(close, 60, 10, 10)\\n df[p + \\\"srsi_10_d\\\"] = i.stochrsi()\\n # TSI\\n i = TSIIndicator(close, 40, 20)\\n df[p + \\\"tsi_20_log\\\"] = list(map(lambda x: uf.log_abs(x *\\n 100, zeros=True), i.tsi()))\\n # WR\\n i = WilliamsRIndicator(high, low, close, 50)\\n df[p + \\\"wr_50\\\"] = i.williams_r()\\n return df\",\n \"def rsi(df, lag):\\n\\n def avg_gain():\\n gains = [\\n df[i][\\\"c\\\"] - df[i - 1][\\\"c\\\"] if df[i][\\\"c\\\"] >= df[i - 1][\\\"c\\\"] else 0.0\\n for i in range(1, len(df))\\n ]\\n avg_gain = [sum(gains[:lag]) / float(lag)]\\n [avg_gain.append(((avg_gain[-1] * 13) + gain) / 14.0) for gain in gains[lag:]]\\n return avg_gain\\n\\n def avg_loss():\\n losses = [\\n abs(df[i][\\\"c\\\"] - df[i - 1][\\\"c\\\"]) if df[i][\\\"c\\\"] < df[i - 1][\\\"c\\\"] else 0.0\\n for i in range(1, len(df))\\n ]\\n avg_loss = [sum(losses[:lag]) / float(lag)]\\n [avg_loss.append(((avg_loss[-1] * 13) + loss) / 14.0) for loss in losses[lag:]]\\n return avg_loss\\n\\n gains = avg_gain()\\n losses = avg_loss()\\n\\n raw_rsi = [\\n round(100 - (100 / (1 + (gains[i] / losses[i]))), 2) for i in range(len(gains))\\n ]\\n df = df[-1 * len(raw_rsi) :]\\n\\n return [raw_rsi[i] for i in range(len(df))]\",\n \"def chi_c_real(params):\\n Qi = Q_i(params)\\n Qc = params['Q_e_real'].value\\n return ((4 * Qc * Qi) /\\n (Qc + Qi) ** 2)\",\n \"def __init__(self):\\n super(ASYMMETRIC, self).__init__(quant_type=Constants.QZ_ASYMMETRIC)\",\n \"def qcd(self):\\n q1, q3 = self.close.quantile([0.25, 0.75])\\n return (q3 - q1) / (q3 + q1)\",\n \"def rotation_and_or_boost(q_1: Q, h: Q, verbose=False) -> Q:\\n q_1.check_representations(h)\\n end_q_type = f\\\"{q_1.q_type}rotation/boost\\\"\\n\\n if not h.is_symbolic():\\n\\n if (not math.isclose(h.t, 0) and not equal(q0(), vector_q(h))) or equal(h, q0()):\\n\\n if not math.isclose(square(h).t, 1):\\n # The scalar part of h will be used to calculate cosh(h.t) and sinh(h.t)\\n # The normalized vector part will point sinh(t) in the direction of vector_q(h)\\n h_scalar = scalar_q(h)\\n h_nomralized_vector = normalize(vector_q(h))\\n\\n if np.abs(h_scalar.t) > 1:\\n h_scalar = inverse(h_scalar)\\n\\n h_cosh = product(add(exp(h_scalar), exp(flip_sign(h_scalar))), q1(1.0 / 2.0))\\n h_sinh = product(dif(exp(h_scalar), exp(flip_sign(h_scalar))), q1(1.0 / 2.0))\\n\\n h = add(h_cosh, product(h_nomralized_vector, h_sinh))\\n\\n if verbose:\\n h.print_state(\\\"To do a Lorentz boost, adjusted value of h so scalar_q(h²) = 1\\\")\\n\\n else:\\n if not math.isclose(norm_squared(h).t, 1):\\n h = normalize(h)\\n if verbose:\\n h.print_state(\\\"To do a 3D rotation, adjusted value of h so scalar_q(h h^*) = 1\\\")\\n\\n triple_1 = triple_product(h, q_1, conj(h))\\n triple_2 = conj(triple_product(h, h, q_1))\\n triple_3 = conj(triple_product(conj(h), conj(h), q_1))\\n\\n triple_23 = dif(triple_2, triple_3)\\n half_23 = product(triple_23, Q([0.5, 0, 0, 0], representation=q_1.representation))\\n triple_123 = add(triple_1, half_23)\\n triple_123.q_type = end_q_type\\n triple_123.representation = q_1.representation\\n\\n return triple_123\",\n \"def _waist_from_q(q, wavelength):\\n\\n return np.sqrt(wavelength / (np.pi * np.imag(-1 / q)))\",\n \"def glycolysis_rate_cal (self) :\\n x = self.mitochondria.get_atp()\\n y = self.mitochondria.get_adp()\\n a = self.atp\\n b = self.adp\\n self.adp_to_atp(self.mitochondria.atp_translocase(math.ceil((x*b - a*y)/(a+b+x+y))))\\n if a<1 :\\n return\\n else :\\n self.set_glycolysis(int(5*b/a))\",\n \"def test_GBL_tau_star():\\n z = 1.0\\n\\n # Fully ionized H and He\\n x_ionH = 1.0\\n x_ionHe = 2.0\\n\\n cosmo = {}\\n cosmo['omega_M_0'] = numpy.array([[0.3],[0.6],[1.0]])\\n cosmo['omega_lambda_0'] = 1. - cosmo['omega_M_0']\\n cosmo['h'] = 0.65\\n cosmo['omega_b_0'] = 0.02 / cosmo['h']**2.\\n cosmo['Y_He'] = 0.24\\n cd.set_omega_k_0(cosmo)\\n\\n tau_inst, tau_star = cr.optical_depth_instant(z, \\n x_ionH=x_ionH, \\n x_ionHe=x_ionHe, \\n return_tau_star=True,\\n **cosmo)\\n print(\\\"tau_star = %.7f\\\" % (tau_star))\\n print(\\\"tau_star/(h Omega_b) = %.7f =? 0.061\\\" % \\n (tau_star / (cosmo['h'] * cosmo['omega_b_0'])))\\n\\n ntest.assert_approx_equal(tau_star / (cosmo['h'] * cosmo['omega_b_0']),\\n 0.061,\\n 2)\\n\\n print(\\\"(1 - Y_He/2) = %.3f =? 0.88\\\" % (1. - (cosmo['Y_He']/2.)))\\n ntest.assert_approx_equal((1. - (cosmo['Y_He']/2.)),\\n 0.88,\\n 7)\\n\\n H_0 = cc.H100_s * cosmo['h']\\n\\n # s^-1 * Mpc s^-1 * Mpc^2 / Mpc^3 msun^-1 s^-2 / Msun -> \\n tau_star_explicit = ((1. - (cosmo['Y_He']/2.)) * \\n ((3. * H_0 * cosmo['omega_b_0'] * cc.c_light_Mpc_s *\\n cc.sigma_T_Mpc) / \\n (8. * math.pi * cc.G_const_Mpc_Msun_s * \\n (cc.m_p_g/cc.M_sun_g))))\\n\\n print(\\\"tau_star_explicit = %.7f =? tau_star\\\" % (tau_star_explicit))\\n ntest.assert_approx_equal(tau_star, tau_star_explicit, 3)\",\n \"def d_q_hisano(self, mchi):\\n w = self.MW**2/mchi**2\\n def gAV(x):\\n bx = np.sqrt(1-x/4+0*1j)\\n out = np.real_if_close(1/(24*bx) * np.sqrt(x) * (8 - x - x**2) * np.arctan(2*bx/np.sqrt(x))\\\\\\n - 1/24 * x * (2 - (3+x)*np.log(x)))\\n return out\\n return (self.alpha)**2/(self.MW**2*self.sw**4) * ((self.dchi**2 - 1)/8 * gAV(w))\",\n \"def qFelder(h):\\n\\treturn (0.92 + 0.153 * h/1.01) * math.sqrt(9.8 * (2/3.0 * h)**3)\",\n \"def hua_formula(Q):\\n q = Q.y**2\\n dct = hua_formula_dict(Q, q, Q.prec())\\n return Invariant(Q.R(dct).Log()*(q-1))\",\n \"def harmonicOscillator_heatCapacity(T, freq):\\n x = freq / (0.695039 * T) # kB = 0.695039 cm^-1/K\\n exp_x = math.exp(x)\\n one_minus_exp_x = 1.0 - exp_x\\n return x * x * exp_x / one_minus_exp_x / one_minus_exp_x\",\n \"def qtf(self, vw, th, gp, psi_l, lai, dt):\\n\\t\\t#if the amount of water in tank is less than amount that will be absorbed by plant in timestep dt, then what's left will be absorbed \\n\\t qtt = th - self.qwf(vw, th, gp, psi_l, lai, dt)\\n\\t if self.tx*self.ZT*10**6 <= 0:\\n\\t return 0.\\n\\t elif self.tx*self.ZT*10**6 <= qtt*dt:\\n\\t return (self.tx*self.ZT*10**6/dt)\\n\\t else:\\n\\t return qtt\",\n \"def wave_energy(F, df, rhow=1000, g=9.8):\\n return rhow * g * np.sum(F * df)\",\n \"def Optimize_tau(x,dt):\\n\\n xdot = central_diff(x,dt)\\n var_xdot = np.var(xdot)\\n tau_target = CorrelationTime(x,dt=dt)\\n\\n \\n k = var_xdot\\n beta0 = 0.1\\n alpha = 1.0/k # beta/D ratio\\n\\n @jit\\n def f1(x): # spring force\\n return k*x\\n \\n MySys = Stochastic_Oscillator(f1,beta0,beta0 / alpha)\\n R = 5000 # how many taus required for integration\\n MySys.Match_Correlation(tau_target,np.array([1e-2,20]),alpha,T=R*tau_target,N=int(R*100))\\n MySys.k=k\\n\\n return MySys\",\n \"def growth_rate(z, c):\\n\\n if c is None:\\n c = Cosmology()\\n\\n x = ((1.0 / c.omega_m) - 1.0) / (1.0 + z) ** 3\\n\\n dnum = 3.0 * x * (1.175 + 0.6127 * x + 0.01607 * x ** 2)\\n dden = 3.0 * x * (1.857 + 2.042 * x + 0.4590 * x ** 2)\\n\\n num = 1.0 + 1.175 * x + 0.3064 * x ** 2 + 0.005355 * x ** 3\\n den = 1.0 + 1.857 * x + 1.021 * x ** 2 + 0.1530 * x ** 3\\n\\n f = 1.0 + 1.5 * x / (1.0 + x) + dnum / num - dden / den\\n\\n return f\",\n \"def liqtemperature(pres):\\n psi = pres/_PTPE - 1\\n temp = 0.\\n for coeff in _C_TMELT[::-1]:\\n temp = temp*psi + coeff\\n temp = (1 + temp*psi)*_TTP\\n return temp\",\n \"def get_wave(q):\\n\\n approximant = 'SEOBNRv4'\\n chi1 = [0,0,0]\\n chi2 = [0,0,0]\\n deltaTOverM = 0.1\\n omega0 = 2e-2\\n\\n t, h = LALPy.generate_LAL_waveform(approximant, q, chi1, chi2, deltaTOverM, omega0)\\n\\n Amp = np.abs(h)\\n peakIdx = np.argmax(Amp)\\n\\n t -= t[peakIdx]\\n\\n tmin = -500\\n if min(t) > tmin:\\n raise Exception('Data not long enough, decrease omega0.')\\n keepIdx = t - tmin > -1e-3 # simple hack to ensure t_vec is always nearly the same\\n t = t[keepIdx]\\n h = h[keepIdx]\\n\\n tmax = 100\\n keepIdx = t - tmax < 1e-3\\n t = t[keepIdx]\\n h = h[keepIdx]\\n\\n return t, h\",\n \"def speedOfSound(gamma, R, T):\\n\\n a = np.sqrt(gamma*R*T)\\n\\n return a\",\n \"def metropolis ( delta ):\\n\\n import numpy as np\\n \\n exponent_guard = 75.0\\n\\n if delta > exponent_guard: # Too high, reject without evaluating\\n return False\\n elif delta < 0.0: # Downhill, accept without evaluating\\n return True\\n else:\\n zeta = np.random.rand() # Uniform random number in range (0,1)\\n return np.exp(-delta) > zeta # Metropolis test\",\n \"def test_double_ended_wls_fix_gamma_estimate_synthetic():\\n from dtscalibration import DataStore\\n\\n cable_len = 100.0\\n nt = 500\\n time = np.arange(nt)\\n x = np.linspace(0.0, cable_len, 100)\\n ts_cold = np.ones(nt) * 4.0\\n ts_warm = np.ones(nt) * 20.0\\n\\n C_p = 15246\\n C_m = 2400.0\\n dalpha_r = 0.0005284\\n dalpha_m = 0.0004961\\n dalpha_p = 0.0005607\\n gamma = 482.6\\n cold_mask = x < 0.5 * cable_len\\n warm_mask = np.invert(cold_mask) # == False\\n temp_real = np.ones((len(x), nt))\\n temp_real[cold_mask] *= ts_cold + 273.15\\n temp_real[warm_mask] *= ts_warm + 273.15\\n\\n st = (\\n C_p\\n * np.exp(-(dalpha_r + dalpha_p) * x[:, None])\\n * np.exp(gamma / temp_real)\\n / (np.exp(gamma / temp_real) - 1)\\n )\\n ast = (\\n C_m\\n * np.exp(-(dalpha_r + dalpha_m) * x[:, None])\\n / (np.exp(gamma / temp_real) - 1)\\n )\\n rst = (\\n C_p\\n * np.exp(-(dalpha_r + dalpha_p) * (-x[:, None] + cable_len))\\n * np.exp(gamma / temp_real)\\n / (np.exp(gamma / temp_real) - 1)\\n )\\n rast = (\\n C_m\\n * np.exp(-(dalpha_r + dalpha_m) * (-x[:, None] + cable_len))\\n / (np.exp(gamma / temp_real) - 1)\\n )\\n\\n alpha = np.mean(np.log(rst / rast) - np.log(st / ast), axis=1) / 2\\n alpha -= alpha[0] # the first x-index is where to start counting\\n dalpha = dalpha_p - dalpha_m\\n alpha2 = x * dalpha\\n\\n # to ensure the st, rst, ast, rast were correctly defined.\\n np.testing.assert_allclose(alpha2, alpha, atol=1e-15, rtol=0)\\n\\n ds = DataStore(\\n {\\n \\\"st\\\": ([\\\"x\\\", \\\"time\\\"], st),\\n \\\"ast\\\": ([\\\"x\\\", \\\"time\\\"], ast),\\n \\\"rst\\\": ([\\\"x\\\", \\\"time\\\"], rst),\\n \\\"rast\\\": ([\\\"x\\\", \\\"time\\\"], rast),\\n \\\"userAcquisitionTimeFW\\\": ([\\\"time\\\"], np.ones(nt)),\\n \\\"userAcquisitionTimeBW\\\": ([\\\"time\\\"], np.ones(nt)),\\n \\\"cold\\\": ([\\\"time\\\"], ts_cold),\\n \\\"warm\\\": ([\\\"time\\\"], ts_warm),\\n },\\n coords={\\\"x\\\": x, \\\"time\\\": time},\\n attrs={\\\"isDoubleEnded\\\": \\\"1\\\"},\\n )\\n\\n sections = {\\n \\\"cold\\\": [slice(0.0, 0.35 * cable_len)],\\n \\\"warm\\\": [slice(0.67 * cable_len, cable_len)],\\n }\\n\\n # WLS\\n ds.calibration_double_ended(\\n sections=sections,\\n st_var=1e-12,\\n ast_var=1e-12,\\n rst_var=1e-12,\\n rast_var=1e-12,\\n method=\\\"wls\\\",\\n solver=\\\"sparse\\\",\\n fix_gamma=(gamma, 0.0),\\n )\\n\\n assert_almost_equal_verbose(ds.gamma.values, gamma, decimal=18)\\n assert_almost_equal_verbose(ds.alpha.values, alpha, decimal=9)\\n assert_almost_equal_verbose(ds.tmpf.values, temp_real - 273.15, decimal=6)\\n assert_almost_equal_verbose(ds.tmpb.values, temp_real - 273.15, decimal=6)\\n assert_almost_equal_verbose(ds.tmpw.values, temp_real - 273.15, decimal=6)\\n\\n pass\",\n \"def Q_term(\\n omega1, # vorticity-1 component\\n omega2, # vorticity-2 component\\n omega3, # vorticity-3 component\\n s11, # strain rate-11 component\\n s12, # strain rate-12 component\\n s13, # strain rate-13 component\\n s22, # strain rate-22 component\\n s23, # strain rate-23 component\\n s33): # strain rate-33 component\\n #---------------------------------------------------------------------#\\n # Numerator and denominator #\\n #---------------------------------------------------------------------#\\n num = omega1*s11*omega1 + omega1*s12*omega2 + omega1*s13*omega3 +\\\\\\n omega2*s12*omega1 + omega2*s22*omega2 + omega2*s23*omega3+\\\\\\n omega3*s13*omega1 + omega3*s23*omega2 + omega3*s33*omega3\\n den1 = omega1*omega1 + omega2*omega2 + omega3*omega3\\n den2 = (s11*s11 + s12*s12 + s13*s13 + s12*s12 + s22*s22 + s23*s23 +\\\\\\n s13*s13 + s23*s23 + s33*s33)**0.5\\n den = ((2.0/3.0)**0.5)* den1 * den2\\n #---------------------------------------------------------------------#\\n # Q calculation #\\n #---------------------------------------------------------------------#\\n Q = num/den\\n\\n return Q\",\n \"def Harmonic_potential(x):\\n k=1\\n return 0.5*k*(x**2)\",\n \"def _q_z(self):\\n D = self.latt_par['D'].value\\n lambda_r = self.latt_par['lambda_r'].value\\n gamma = self.latt_par['gamma'].value\\n return 2*np.pi*(self.h/D - self.k/lambda_r/np.tan(gamma))\",\n \"def Hydrogen_Rate(E):\\n\\treturn (4.0/E)*np.exp(-(2.0/3.0)/E)\",\n \"def _compute_rho(self, q0):\\n rho = np.power(q0, self.beta)\\n\\n # Division by rho-mean is not in papers, but in berry code (ref3)\\n return rho / np.mean(rho)\",\n \"def length_vs_rate_2(Lmax=200, Lmin=102.4, p=75, fmax=1e12, p1=database['K+'],\\r\\n p2=database['pi+'], p3=database['p+'], E=1e6, n=20,\\r\\n ng=50, nl=50, nf=100, delta_p=1.6e-2, just_pi=False,\\r\\n set_freq=5.7e9, count=True):\\r\\n if set_freq == None:\\r\\n print('Estimated time: {0}'.format(timing(n*ng*nl*nf*3.84e-05)))\\r\\n else:\\r\\n print('Estimated time: {0}'.format(timing(n*ng*nl*3.84e-05)))\\r\\n i = 0\\r\\n while i < 1e7:\\r\\n i += 1\\r\\n start = time.time()\\r\\n L_range = np.linspace(Lmin, Lmax, n)\\r\\n opt_gap, opt_freq, opt_cav, opt_disp, rate = [], [], [], [], []\\r\\n for L in L_range:\\r\\n if count == True:\\r\\n print(f'L={L}')\\r\\n opt = cavity_gap_comp(L_t=L-22.8, p=p, fmax=fmax, p1=p1, p2=p2, p3=p3,\\r\\n E=E, plot=False, delta_p=delta_p, n=ng, nf=nf,\\r\\n nl=nl, just_pi=just_pi, set_freq=set_freq,\\r\\n count=count)\\r\\n opt_freq.append(opt[0])\\r\\n opt_gap.append(opt[1])\\r\\n opt_cav.append(opt[2])\\r\\n opt_disp.append(opt[3])\\r\\n rate.append(decay_rate(L, p1, p)*1e-6)\\r\\n opt_freq, opt_disp, rate = np.array(opt_freq), np.array(opt_disp), np.array(rate)\\r\\n# ratio = (opt_disp*rate)/(opt_freq*L)\\r\\n# ratio *= (np.max(opt_freq)-np.min(opt_freq))/(np.max(ratio)-np.min(ratio))\\r\\n# ratio += ((np.min(opt_freq))-np.min(ratio))\\r\\n fig = plt.figure(figsize=[14, 4])\\r\\n host = fig.add_subplot(1, 1, 1)\\r\\n fig.subplots_adjust(right=0.75)\\r\\n par1 = host.twinx()\\r\\n# par2 = host.twinx()\\r\\n# par2.spines['right'].set_position(('axes', 1.2))\\r\\n# make_patch_spines_invisible(par2)\\r\\n# par2.spines['right'].set_visible(True) \\r\\n p1, = host.plot(L_range, rate, 'r', alpha=0.8, lw=2, label='decay rate in decay region')\\r\\n p2, = par1.plot(L_range, opt_disp, 'b', alpha=0.8, lw=2, label='min disp')\\r\\n# p3, = par2.plot(L_range, opt_freq, 'b', alpha=0.8, lw=2, label='frequency')\\r\\n# p4, = par2.plot(L_range, ratio, 'g', alpha=0.8, lw=2, label='ratio')\\r\\n host.set_xlim(Lmin, Lmax)\\r\\n host.set_xlabel('Distance between Target and Decay Region / m', fontsize=15)\\r\\n host.set_ylabel('Decay Rate in Decay Region / MHz', fontsize=15)\\r\\n par1.set_ylabel('Minimum Displacement / mm', fontsize=15)\\r\\n# par2.set_ylabel('Frequency / Hz', fontsize=15)\\r\\n host.yaxis.label.set_color(p1.get_color())\\r\\n par1.yaxis.label.set_color(p2.get_color())\\r\\n# par2.yaxis.label.set_color(p3.get_color())\\r\\n host.tick_params(axis='y', colors=p1.get_color())\\r\\n par1.tick_params(axis='y', colors=p2.get_color())\\r\\n# par2.tick_params(axis='y', colors=p3.get_color())\\r\\n# lines = [p1, p2, p3, p4]\\r\\n# lines = [p1, p2]\\r\\n# host.legend(lines, [l.get_label() for l in lines], loc=[0.45, 0.8], fontsize=20)\\r\\n host.minorticks_on()\\r\\n par1.minorticks_on()\\r\\n host.set_ylim(0)\\r\\n par1.set_ylim(0)\\r\\n host.grid()\\r\\n host_yticks = np.arange(0, int(np.max(rate))+2, 1)\\r\\n par1_yticks = np.arange(0, (int(np.max(opt_disp)/100)+1)*100, 100)\\r\\n host.set_yticks(host_yticks)\\r\\n host.set_yticklabels(host_yticks)\\r\\n par1.set_yticks(par1_yticks)\\r\\n par1.set_yticklabels(par1_yticks)\\r\\n host.set_title(r'Unwanted particle displacement and observed $K^+$'+' decay rate\\\\nas a function of target distance', fontsize=15)\\r\\n plt.show()\\r\\n fig.savefig('Length_vs_Rate_75.pdf', bbox_inches='tight')\\r\\n index = np.argmax(opt_disp)\\r\\n# index = np.argmax(ratio)\\r\\n print(f'{timing(time.time()-start)}')\\r\\n return [opt_disp[index], L_range[index], opt_gap[index], opt_cav[index], opt_freq[index], rate[index]]\",\n \"def one_transition_spectrum_fluor(self,tr):\\n \\n\\n ta = tr[\\\"ta\\\"] # TimeAxis\\n dd = tr[\\\"dd\\\"] # transition dipole strength\\n om = tr[\\\"om\\\"] # frequency - rwa\\n gg = tr[\\\"gg\\\"] # natural broadening (constant or time dependent)\\n fwhm = tr[\\\"fwhm\\\"] # Additional gaussian broadening of the spectra\\n sgm = fwhm/(2*numpy.sqrt(2*numpy.log(2)))\\n \\n # CD and fluorescence can be calculated in this step\\n # TODO if rotatory strength defined calculate also circular dichroism spectra\\n # TOOD calculate fluorescence spectra (for fluorescence there should be a switch because it should be calculated only for the first transition) \\n \\n \\n if self.system._has_system_bath_coupling:\\n# ct = tr[\\\"ct\\\"] # correlation function\\n re = tr[\\\"re\\\"] # reorganisation energy\\n \\n # convert correlation function to lineshape function\\n #gt = self._c2g(ta,ct.data)\\n gt = tr[\\\"gt\\\"]\\n # calculate time dependent response\\n at = numpy.exp(-numpy.conjugate(gt) -1j*om*ta.data + 2j*re*ta.data)\\n else:\\n # calculate time dependent response\\n at = numpy.exp(-1j*om*ta.data) \\n# plt.figure()\\n# plt.title(\\\"Absorption\\\")\\n# plt.plot(ta.data,numpy.real(at))\\n# plt.plot(ta.data,numpy.imag(at))\\n \\n \\n if len(gg) == 1:\\n gam = gg[0]\\n rt = numpy.exp(gam*ta.data)\\n at *= rt\\n #print(\\\"Constant: \\\", rt[20], len(at))\\n else:\\n rt = numpy.exp((gg)*ta.data) \\n at *= rt\\n #print(\\\"Time dependent: len = \\\", rt[20], len(rt))\\n \\n if fwhm!=0.0:\\n gauss = numpy.exp(-2*(numpy.pi**2)*(sgm**2)*(ta.data**2))\\n at *= gauss\\n \\n # Fourier transform the result\\n ft = dd*numpy.fft.hfft(at)*ta.step\\n ft = numpy.fft.fftshift(ft)\\n # invert the order because hfft is a transform with -i\\n ft = numpy.flipud(ft) \\n # cut the center of the spectrum\\n Nt = ta.length #len(ta.data) \\n return ft[Nt//2:Nt+Nt//2]\",\n \"def dalf(x):\\n # if pitch_start_time - ramp_constant_time <= x <= pitch_end_time + ramp_constant_time:\\n # f_t0 = smooth_factor * (x - pitch_start_time)\\n # f_t1 = smooth_factor * (x - p_acc_end_time)\\n # f_t2 = smooth_factor * (x - p_decc_start_time)\\n # f_t3 = smooth_factor * (x - pitch_end_time)\\n\\n # dalfx = (pitch_acceleration /\\n # 2) / smooth_factor * (logcosh(f_t0) - logcosh(f_t1) +\\n # logcosh(f_t3) - logcosh(f_t2))\\n # else:\\n # dalfx = 0\\n f_t0 = smooth_factor * (x - pitch_start_time)\\n f_t1 = smooth_factor * (x - p_acc_end_time)\\n f_t2 = smooth_factor * (x - p_decc_start_time)\\n f_t3 = smooth_factor * (x - pitch_end_time)\\n\\n dalfx = (pitch_acceleration / 2) / smooth_factor * (\\n logcosh(f_t0) - logcosh(f_t1) + logcosh(f_t3) - logcosh(f_t2))\\n return dalfx\",\n \"def test_single_ended_ols_wls_estimate_synthetic():\\n\\n from dtscalibration import DataStore\\n import numpy as np\\n\\n np.random.seed(0)\\n\\n cable_len = 100.\\n nt = 50\\n time = np.arange(nt)\\n x = np.linspace(0., cable_len, 500)\\n ts_cold = np.ones(nt) * 4.\\n ts_warm = np.ones(nt) * 20.\\n\\n C_p = 15246\\n C_m = 2400.\\n dalpha_r = 0.0005284\\n dalpha_m = 0.0004961\\n dalpha_p = 0.0005607\\n gamma = 482.6\\n cold_mask = x < 0.5 * cable_len\\n warm_mask = np.invert(cold_mask) # == False\\n temp_real = np.ones((len(x), nt))\\n temp_real[cold_mask] *= ts_cold + 273.15\\n temp_real[warm_mask] *= ts_warm + 273.15\\n\\n st = C_p * np.exp(-dalpha_r * x[:, None]) * \\\\\\n np.exp(-dalpha_p * x[:, None]) * \\\\\\n np.exp(gamma / temp_real) / (np.exp(gamma / temp_real) - 1)\\n ast = C_m * np.exp(-dalpha_r * x[:, None]) * \\\\\\n np.exp(-dalpha_m * x[:, None]) / (np.exp(gamma / temp_real) - 1)\\n\\n print('alphaint', cable_len * (dalpha_p - dalpha_m))\\n print('alpha', dalpha_p - dalpha_m)\\n print('C', np.log(C_p / C_m))\\n print('x0', x.max())\\n\\n ds = DataStore({\\n 'st': (['x', 'time'], st),\\n 'ast': (['x', 'time'], ast),\\n 'userAcquisitionTimeFW': (['time'], np.ones(nt)),\\n 'cold': (['time'], ts_cold),\\n 'warm': (['time'], ts_warm)\\n },\\n coords={\\n 'x': x,\\n 'time': time},\\n attrs={\\n 'isDoubleEnded': '0'})\\n\\n sections = {\\n 'cold': [slice(0., 0.5 * cable_len)],\\n 'warm': [slice(0.5 * cable_len, cable_len)]}\\n\\n # OLS\\n ds.calibration_single_ended(sections=sections,\\n st_label='st',\\n ast_label='ast',\\n method='ols',\\n solver='sparse')\\n\\n np.testing.assert_almost_equal(\\n ds.gamma.values, gamma, decimal=6)\\n np.testing.assert_almost_equal(\\n ds.dalpha.values, dalpha_p - dalpha_m, decimal=8)\\n np.testing.assert_almost_equal(\\n ds.TMPF.values, temp_real - 273.15, decimal=4)\\n\\n # WLS\\n ds.calibration_single_ended(sections=sections,\\n st_label='st',\\n ast_label='ast',\\n st_var=1.,\\n ast_var=1.,\\n method='wls',\\n solver='sparse')\\n\\n np.testing.assert_almost_equal(\\n ds.gamma.values, gamma, decimal=6)\\n np.testing.assert_almost_equal(\\n ds.dalpha.values, dalpha_p - dalpha_m, decimal=8)\\n np.testing.assert_almost_equal(\\n ds.TMPF.values, temp_real - 273.15, decimal=4)\\n\\n pass\",\n \"def get_chisqrs(prf,diff,nbins): \\n off_pulse = np.zeros(39)\\n off_pulse[:20] = prf[:20]\\n off_pulse[20:] = prf[45:] #Making off pulse region\\n # print(\\\"Off pulse Region \\\",off_pulse)\\n op_rms = np.var(off_pulse) #Rms\\n # print(\\\"Off pulse RMS \\\",op_rms)\\n s = 0\\n for d in diff:\\n s += d**2/op_rms\\n\\n s = s/(nbins - 1)\\n # print(\\\"Chisqr value = \\\",s)\\n\\n return s\",\n \"def referenceIllum(temp, wavelength):\\n ct=temp\\n if ct <= 0:\\n return 0\\n if ct < 4000:\\n return planckian(ct, wavelength)\\n if ct < 5000:\\n p=planckian(ct, wavelength)\\n d=dseries(ct, wavelength)\\n return p+(d-p)*(ct-4000)/1500.0\\n return dseries(ct, wavelength)\",\n \"def test_set_hp(self):\\n s = State(substance=\\\"water\\\")\\n s.hp = Q_(1061602.391543017, \\\"J/kg\\\"), Q_(101325.0, \\\"Pa\\\")\\n # Pylance does not support NumPy ufuncs\\n assert np.isclose(s.T, Q_(373.1242958476843, \\\"K\\\")) # type: ignore\\n assert np.isclose(s.p, Q_(101325.0, \\\"Pa\\\")) # type: ignore\\n assert np.isclose(s.hp[0], Q_(1061602.391543017, \\\"J/kg\\\")) # type: ignore\\n assert np.isclose(s.hp[1], Q_(101325.0, \\\"Pa\\\")) # type: ignore\\n assert np.isclose(s.u, Q_(1013250, \\\"J/kg\\\")) # type: ignore\\n assert np.isclose(s.s, Q_(3028.9867985920914, \\\"J/(kg*K)\\\")) # type: ignore\\n assert np.isclose(s.v, Q_(0.4772010021515822, \\\"m**3/kg\\\")) # type: ignore\\n assert np.isclose(s.h, Q_(1061602.391543017, \\\"J/kg\\\")) # type: ignore\\n assert np.isclose(s.x, Q_(0.28475636946248034, \\\"dimensionless\\\")) # type: ignore\\n s.hp = Q_(3336406.139862406, \\\"J/kg\\\"), Q_(101325.0, \\\"Pa\\\")\\n assert np.isclose(s.T, Q_(700.9882316847855, \\\"K\\\")) # type: ignore\\n assert np.isclose(s.p, Q_(101325.0, \\\"Pa\\\")) # type: ignore\\n assert np.isclose(s.hp[0], Q_(3336406.139862406, \\\"J/kg\\\")) # type: ignore\\n assert np.isclose(s.hp[1], Q_(101325.0, \\\"Pa\\\")) # type: ignore\\n assert np.isclose(s.u, Q_(3013250, \\\"J/kg\\\")) # type: ignore\\n assert np.isclose(s.s, Q_(8623.283568815832, \\\"J/(kg*K)\\\")) # type: ignore\\n assert np.isclose(s.v, Q_(3.189303132125469, \\\"m**3/kg\\\")) # type: ignore\\n assert np.isclose(s.h, Q_(3336406.139862406, \\\"J/kg\\\")) # type: ignore\\n assert s.x is None\",\n \"def get_wavelength(self):\\n E = -self.E0*(1.0/self.n_low**2 - 1.0/self.n_high**2)\\n return SI['hc']*1e12/(E*SI['keV'])\",\n \"def q(self) -> float:\\n return self._pwr.imag\",\n \"def theoretical_lifetime(q, p0, time):\\n\\tq_cut = q[0:len(q)-1, 0:len(q)-1]\\n\\treturn 1-np.sum(np.matmul(p0,expm(q_cut*time)))\",\n \"def calcSensitivity(self, background: SpectralQty, signal: SpectralQty, obstruction: float, exp_time: u.Quantity,\\n snr: u.Quantity, target_brightness: u.Quantity) -> [u.mag, u.mag / u.sr]:\\n # Calculate the signal and background temperatures\\n t_signal, t_background = self.calcTemperatures(background, signal, obstruction)\\n line_ind = np.where(t_signal.wl == self.__lambda_line)[0][0]\\n t_sys = t_background + 2 * self.__receiver_temp + t_signal\\n # Calculate the noise bandwidth\\n delta_nu = t_signal.wl.to(u.Hz, equivalencies=u.spectral()) / (t_signal.wl / self.__common_conf.wl_delta() + 1)\\n sensitivity = []\\n for snr_, exp_time_ in zip(snr, exp_time) if snr.size > 1 else zip([snr], [exp_time]):\\n # Calculate the RMS background temperature\\n if self.__n_on is None:\\n t_rms = 2 * t_sys * self.__kappa / np.sqrt(exp_time_ * delta_nu)\\n else:\\n t_rms = t_sys * self.__kappa * np.sqrt(1 + 1 / np.sqrt(self.__n_on)) / np.sqrt(exp_time_ * delta_nu)\\n # Calculate the limiting signal temperature\\n t_signal_lim = t_rms * snr_\\n # Calculate the sensitivity\\n signal_ratio = t_signal_lim / t_signal\\n sensitivity_ = SpectralQty(signal_ratio.wl,\\n target_brightness - 2.5 * np.log10(signal_ratio.qty) * target_brightness.unit)\\n sensitivity.append(sensitivity_.qty[line_ind])\\n # Print details\\n self.__printDetails(t_sys.qty[line_ind], delta_nu[line_ind], t_rms.qty[line_ind],\\n t_signal_lim.qty[line_ind], \\\"SNR=%.2f t_exp=%.2f s: \\\" % (snr_.value, exp_time_.value))\\n self.__output(t_signal, t_background, t_rms, \\\"snr_%.2f_texp_%.2f\\\" % (snr_.value, exp_time_.value),\\n sensitivity=sensitivity_)\\n return u.Quantity(sensitivity) if len(sensitivity) > 1 else u.Quantity(sensitivity[0])\",\n \"def __init__(self, quantum_efficiency=1.0,\\n sample_rate_times_per_second=1.0,\\n integration_time_seconds=0.1):\\n self.quantum_efficiency = quantum_efficiency\\n self.sample_rate_times_per_second = sample_rate_times_per_second\\n self.integration_time_seconds = integration_time_seconds\",\n \"def test_conserve_flux_redshift(self):\\n sp = SourceSpectrum(self.sp_z0.model, z=1.3, z_type='conserve_flux')\\n fac = 1 / (1 + sp.z)\\n wave = [5000, 11500]\\n assert_quantity_allclose(sp(wave), self.sp(wave) * fac)\\n assert_quantity_allclose(sp.integrate(), self.sp_z0.integrate())\",\n \"def evaluate(self, wavelength):\\n micron = wavelength.to(u.micron).value\\n x = 1 / micron\\n optical_indx = np.where(np.logical_and(0.63 <= micron, micron <= 2.20))\\n ir_indx = np.where(np.logical_and(0.12 <= micron, micron <= 0.63))\\n x = np.asarray(x)\\n if x.ndim == 0:\\n x = x[None]\\n k = np.empty(len(x))\\n k[optical_indx] = 2.659 * (-1.857 + 1.040 * x) + self.Rv\\n k[ir_indx] = 2.659 * (-2.156 + 1.509 * x - 0.198 * x**2 + 0.011 * x**3) + self.Rv\\n return k\",\n \"def harmonic_oscillator_test(stepper_type, dt):\\n def f(ys, _):\\n dy = np.zeros(np.shape(ys))\\n dy[0] = ys[1]\\n dy[1] = -ys[0]\\n return dy\\n T = 0\\n T_F = 10\\n ys = np.array([0, 1], dtype=np.float64)\\n ylist = [0]\\n solver = stepper_type(f, T, ys, T_F, max_step=dt)\\n while solver.status == 'running':\\n solver.step()\\n ylist.append(np.copy(solver.y[0]))\\n yarr = np.array(ylist)\\n exact = np.array([np.sin(i * dt) for i in range(len(yarr))])\\n return common.l2_norm(yarr, exact)\",\n \"def scipy_romberg_1d(q):\\n evals = [0]\\n def outer(theta):\\n evals[0] += 1\\n return kernel_1d(q, theta=theta)*abs(sin(theta))\\n result = romberg(outer, THETA_LOW, THETA_HIGH, divmax=100)*SCALE\\n print(\\\"scipy romberg\\\", evals[0], result)\",\n \"def ricker(freq, length, dt, peak_time):\\n t = np.arange(-peak_time, (length)*dt - peak_time, dt, dtype=np.float32)\\n y = ((1.0 - 2.0*(np.pi**2)*(freq**2)*(t**2))\\n * np.exp(-(np.pi**2)*(freq**2)*(t**2)))\\n return y\",\n \"def _coupling(qin, horn_rx, wavelength):\\n\\n whorn = horn_rx.w\\n zoff = horn_rx.z\\n\\n if isinstance(wavelength, np.ndarray):\\n qout = np.zeros(len(wavelength), dtype=complex)\\n for i in range(len(wavelength)):\\n qout[i] = transform_beam(_freespace_matrix(zoff[i]), qin[i])\\n else:\\n qout = transform_beam(_freespace_matrix(zoff), qin)\\n\\n w = np.sqrt(wavelength / (np.pi * np.imag(-1 / qout)))\\n\\n r = 1 / (np.real(1 / qout))\\n\\n coupling = 4 / ((((w / whorn) + (whorn / w))**2 +\\n ((np.pi * whorn * w / wavelength)**2) *\\n (((1 / r) - (1 / 1e50))**2)))\\n\\n return coupling\",\n \"def quantum_theta(self):\\n return quantum_theta(self.T_e, self.n_e)\",\n \"def harmonic_cqt(x_in, sr, hop_length=1024, fmin=27.5, n_bins=72,\\n n_harmonics=5, bins_per_octave=36, tuning=0.0, filter_scale=1,\\n aggregate=None, norm=1, sparsity=0.0, real=False):\\n\\n kwargs = dict(n_bins=n_bins, bins_per_octave=bins_per_octave,\\n hop_length=hop_length, sr=sr, tuning=tuning,\\n filter_scale=filter_scale, aggregate=aggregate, norm=norm,\\n sparsity=sparsity, real=real)\\n\\n cqt_spectra = []\\n min_tdim = np.inf\\n for i in range(1, n_harmonics + 1):\\n cqt_spectra += [np.array([librosa.cqt(x_c, fmin=i * fmin, **kwargs).T\\n for x_c in x_in.T])[:, np.newaxis, ...]]\\n min_tdim = min([cqt_spectra[-1].shape[2], min_tdim])\\n cqt_spectra = [x[:, :, :min_tdim, :] for x in cqt_spectra]\\n\\n return np.concatenate(cqt_spectra, axis=1)\",\n \"def omega(x):\\n # if ramp_start_time - ramp_constant_time <= x <= end_ramp_end_time + ramp_constant_time:\\n # f_t0 = smooth_factor * (x - ramp_start_time)\\n # f_t1 = smooth_factor * (x - i_ramp_end_time)\\n # if ramp_mode == 'with_end_acc':\\n # f_t2 = smooth_factor * (x - steady_end_time)\\n # f_t3 = smooth_factor * (x - end_ramp_end_time)\\n # elif ramp_mode == 'no_end_acc':\\n # f_t2 = smooth_factor * ramp_start_time\\n # f_t3 = smooth_factor * i_ramp_end_time\\n\\n # omegax = (ramp_stage_acceleration / 2) / smooth_factor * (\\n # logcosh(f_t0) - logcosh(f_t1) + logcosh(f_t3) - logcosh(f_t2))\\n # else:\\n # if bstroke == 'yes' and x <= 2 * (end_ramp_end_time +\\n # ramp_constant_time):\\n # x -= end_ramp_end_time + ramp_constant_time\\n # f_t0 = smooth_factor * (x - ramp_start_time)\\n # f_t1 = smooth_factor * (x - i_ramp_end_time)\\n # if ramp_mode == 'with_end_acc':\\n # f_t2 = smooth_factor * (x - steady_end_time)\\n # f_t3 = smooth_factor * (x - end_ramp_end_time)\\n # elif ramp_mode == 'no_end_acc':\\n # f_t2 = smooth_factor * ramp_start_time\\n # f_t3 = smooth_factor * i_ramp_end_time\\n\\n # omegax = -(ramp_stage_acceleration / 2) / smooth_factor * (\\n # logcosh(f_t0) - logcosh(f_t1) + logcosh(f_t3) -\\n # logcosh(f_t2))\\n # else:\\n # omegax = 0\\n\\n if bstroke == 'no':\\n f_t0 = smooth_factor * (x - ramp_start_time)\\n f_t1 = smooth_factor * (x - i_ramp_end_time)\\n if ramp_mode == 'with_end_acc':\\n f_t2 = smooth_factor * (x - steady_end_time)\\n f_t3 = smooth_factor * (x - end_ramp_end_time)\\n elif ramp_mode == 'no_end_acc':\\n f_t2 = smooth_factor * ramp_start_time\\n f_t3 = smooth_factor * i_ramp_end_time\\n\\n omegax = (ramp_stage_acceleration / 2) / smooth_factor * (\\n logcosh(f_t0) - logcosh(f_t1) + logcosh(f_t3) - logcosh(f_t2))\\n\\n else:\\n if x <= end_ramp_end_time + ramp_constant_time:\\n f_t0 = smooth_factor * (x - ramp_start_time)\\n f_t1 = smooth_factor * (x - i_ramp_end_time)\\n if ramp_mode == 'with_end_acc':\\n f_t2 = smooth_factor * (x - steady_end_time)\\n f_t3 = smooth_factor * (x - end_ramp_end_time)\\n elif ramp_mode == 'no_end_acc':\\n f_t2 = smooth_factor * ramp_start_time\\n f_t3 = smooth_factor * i_ramp_end_time\\n\\n omegax = (ramp_stage_acceleration /\\n 2) / smooth_factor * (logcosh(f_t0) - logcosh(f_t1) +\\n logcosh(f_t3) - logcosh(f_t2))\\n\\n else:\\n x -= end_ramp_end_time + ramp_constant_time\\n f_t0 = smooth_factor * (x - ramp_start_time)\\n f_t1 = smooth_factor * (x - i_ramp_end_time)\\n if ramp_mode == 'with_end_acc':\\n f_t2 = smooth_factor * (x - steady_end_time)\\n f_t3 = smooth_factor * (x - end_ramp_end_time)\\n elif ramp_mode == 'no_end_acc':\\n f_t2 = smooth_factor * ramp_start_time\\n f_t3 = smooth_factor * i_ramp_end_time\\n\\n omegax = -(ramp_stage_acceleration / 2) / smooth_factor * (\\n logcosh(f_t0) - logcosh(f_t1) + logcosh(f_t3) -\\n logcosh(f_t2))\\n\\n return omegax\",\n \"def _phi2psi(self):\\n try:\\n locq = self.param_q(self.rhotor)\\n except:\\n self._readeqdsk(self.shot)\\n locq = self.param_q(self.rhotor)\\n \\n locphi = self.rhotor**2\\n psi = integrate.cumtrapz(1/locq,locphi)\\n psi = np.concatenate([[0], psi])\\n psi = psi/max(psi)\\n self.param_psi = interpolate.interp1d(self.rhotor, psi) \\n \\n\\n # tmpnum=100000\\n # locq = self.param_q(np.linspace(0,1,tmpnum)) #augmenting precision near the core\\n # locphi = self.rhotor**2\\n # locphi_p = interpolate.interp1d(np.linspace(0,1,len(locphi)),locphi)\\n # locphi = locphi_p(np.linspace(0,1,tmpnum))\\n # psi = integrate.cumtrapz(1/locq,locphi)\\n # psi = np.concatenate([[0], psi])\\n # psi = psi/max(psi)\\n # rhopsi = psi**0.5\\n # self.param_psi = interpolate.interp1d(np.linspace(0,1,tmpnum), rhopsi)\",\n \"def quantum(self):\\n return self._quantum\",\n \"def vol(x):\\r\\n return pi*(topdia(x)/2000.)**2 * length (x)\",\n \"def perfectrefl(wavelength):\\n return 1.0\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.5506311","0.54322857","0.54039633","0.53244144","0.5197453","0.51922834","0.5187615","0.5161913","0.5131058","0.5111093","0.50948024","0.5079271","0.5075758","0.5067517","0.50656","0.5057913","0.5053487","0.5033692","0.5029003","0.50254285","0.5017855","0.501413","0.49993387","0.49933904","0.49823695","0.4969149","0.4959921","0.4957815","0.49512604","0.49476504","0.49446636","0.49434856","0.49349442","0.4931049","0.49215958","0.49137104","0.49103516","0.4908524","0.490804","0.48909247","0.48848557","0.48821768","0.487889","0.4878875","0.48752823","0.48727244","0.4857549","0.4855778","0.4847209","0.48466697","0.4845991","0.48450935","0.48433623","0.48361444","0.48356703","0.48342866","0.48283824","0.4826404","0.4825571","0.4818483","0.48154965","0.4807551","0.47963014","0.4796244","0.47937232","0.47891456","0.47890568","0.4787467","0.47788754","0.4778771","0.4778435","0.47709987","0.4765851","0.47643152","0.4762635","0.476014","0.47587743","0.4758262","0.47502142","0.4749175","0.47368968","0.47352886","0.4726151","0.47245416","0.47234365","0.47221282","0.47200012","0.47172147","0.47169515","0.47160116","0.47150287","0.4710337","0.4706403","0.4700839","0.4699565","0.4696555","0.46900958","0.4687555","0.4682013","0.46818984","0.46786147"],"string":"[\n \"0.5506311\",\n \"0.54322857\",\n \"0.54039633\",\n \"0.53244144\",\n \"0.5197453\",\n \"0.51922834\",\n \"0.5187615\",\n \"0.5161913\",\n \"0.5131058\",\n \"0.5111093\",\n \"0.50948024\",\n \"0.5079271\",\n \"0.5075758\",\n \"0.5067517\",\n \"0.50656\",\n \"0.5057913\",\n \"0.5053487\",\n \"0.5033692\",\n \"0.5029003\",\n \"0.50254285\",\n \"0.5017855\",\n \"0.501413\",\n \"0.49993387\",\n \"0.49933904\",\n \"0.49823695\",\n \"0.4969149\",\n \"0.4959921\",\n \"0.4957815\",\n \"0.49512604\",\n \"0.49476504\",\n \"0.49446636\",\n \"0.49434856\",\n \"0.49349442\",\n \"0.4931049\",\n \"0.49215958\",\n \"0.49137104\",\n \"0.49103516\",\n \"0.4908524\",\n \"0.490804\",\n \"0.48909247\",\n \"0.48848557\",\n \"0.48821768\",\n \"0.487889\",\n \"0.4878875\",\n \"0.48752823\",\n \"0.48727244\",\n \"0.4857549\",\n \"0.4855778\",\n \"0.4847209\",\n \"0.48466697\",\n \"0.4845991\",\n \"0.48450935\",\n \"0.48433623\",\n \"0.48361444\",\n \"0.48356703\",\n \"0.48342866\",\n \"0.48283824\",\n \"0.4826404\",\n \"0.4825571\",\n \"0.4818483\",\n \"0.48154965\",\n \"0.4807551\",\n \"0.47963014\",\n \"0.4796244\",\n \"0.47937232\",\n \"0.47891456\",\n \"0.47890568\",\n \"0.4787467\",\n \"0.47788754\",\n \"0.4778771\",\n \"0.4778435\",\n \"0.47709987\",\n \"0.4765851\",\n \"0.47643152\",\n \"0.4762635\",\n \"0.476014\",\n \"0.47587743\",\n \"0.4758262\",\n \"0.47502142\",\n \"0.4749175\",\n \"0.47368968\",\n \"0.47352886\",\n \"0.4726151\",\n \"0.47245416\",\n \"0.47234365\",\n \"0.47221282\",\n \"0.47200012\",\n \"0.47172147\",\n \"0.47169515\",\n \"0.47160116\",\n \"0.47150287\",\n \"0.4710337\",\n \"0.4706403\",\n \"0.4700839\",\n \"0.4699565\",\n \"0.4696555\",\n \"0.46900958\",\n \"0.4687555\",\n \"0.4682013\",\n \"0.46818984\",\n \"0.46786147\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":86791,"cells":{"query":{"kind":"string","value":"Calculate lagged coherence of sig at frequency freq using the hanningtaper FFT method"},"document":{"kind":"string","value":"def _lagged_coherence_1freq(sig, freq, fs, n_cycles=3):\n\n # Determine number of samples to be used in each window to compute lagged coherence\n n_samps = int(np.ceil(n_cycles * fs / freq))\n\n # For each N-cycle chunk, calculate the fourier coefficient at the frequency of interest, freq\n chunks = _nonoverlapping_chunks(sig, n_samps)\n chunks_len = len(chunks)\n\n hann_window = hann(n_samps)\n fourier_f = np.fft.fftfreq(n_samps, 1 / float(fs))\n fourier_f_idx = np.argmin(np.abs(fourier_f - freq))\n fourier_coefsoi = np.zeros(chunks_len, dtype=complex)\n\n for ind, chunk in enumerate(chunks):\n fourier_coef = np.fft.fft(chunk * hann_window)\n fourier_coefsoi[ind] = fourier_coef[fourier_f_idx]\n\n # Compute the lagged coherence value\n lcs_num = 0\n for ind in range(chunks_len - 1):\n lcs_num += fourier_coefsoi[ind] * np.conj(fourier_coefsoi[ind + 1])\n lcs_denom = np.sqrt(np.sum(np.abs(fourier_coefsoi[:-1])**2) * np.sum(np.abs(fourier_coefsoi[1:])**2))\n\n return np.abs(lcs_num / lcs_denom)"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def get_freqs(sig, fft_size):\n Lf = np.fft.fft(sig, fft_size)\n Lc = Lf[0:fft_size//2]\n La = np.abs(Lc[0:fft_size//2])\n Lg = np.angle(Lc[0:fft_size//2])\n return La, Lg","def lagged_coherence(sig, f_range, fs, n_cycles=3, f_step=1, return_spectrum=False):\n\n # Identify Fourier components of interest\n freqs = np.arange(f_range[0], f_range[1] + f_step, f_step)\n\n # Calculate lagged coherence for each frequency\n lc = np.zeros(len(freqs))\n for ind, freq in enumerate(freqs):\n lc[ind] = _lagged_coherence_1freq(sig, freq, fs, n_cycles=n_cycles)\n\n # Return desired measure of lagged coherence\n if return_spectrum:\n return lc, freqs\n else:\n return np.mean(lc)","def _ac_fft3 (self,xp,max_lag):\n '''takes xp'''\n f = np.fft.fft(self.xp)\n p = np.array([np.real(v)**2+np.imag(v)**2 for v in f])\n pi = np.fft.ifft(p)\n corr = np.real(pi)[:self.n]/np.sum(self.xp**2)\n return corr[:max_lag]","def _prevalent_freq(self, data, framerate):\n if not(np.std(data) == 0):\n data = (data-np.mean(data))/np.std(data)\n transform = np.fft.rfft(data)\n freqs = np.fft.rfftfreq(len(data), 1.0/framerate) \n freqs = 60*freqs\n band_pass = np.where((freqs < 40) | (freqs > 240) )[0]\n transform[band_pass] = 0\n transform = np.abs(transform)**2\n sos = scipy.signal.butter(3, 0.2, output='sos')\n transform = scipy.signal.sosfilt(sos, transform)\n powers = np.argsort(-1*transform)\n hr, power = self._respiration_rejection([freqs[powers[0]], freqs[powers[1]]],[transform[powers[0]], transform[powers[1]]])\n return hr, power","def time_lag(data):\n normalize = [i for i in range(1,len(data[0])+1)]\n normalize += normalize[-2::-1]\n idx = len(data[0])//4\n def win(sig):\n res = fftconvolve(sig, np.conj(sig)[::-1])/normalize\n res[len(res)//2] = 0\n return res[idx:idx*7]\n autocorr = np.apply_along_axis(win, 1, data)\n return np.max(np.abs(autocorr), axis=1)","def get_frequency(frame):\n frame = clip_centre(frame)\n frame = auto_correlate(frame)\n threshold: int = SAMPLE_RATE // 500\n lag = frame[threshold:].argmax()\n frequency = SAMPLE_RATE / lag\n return frequency","def freq_from_fft(self, sig, fs):\n\t # Compute Fourier transform of windowed signal\n\t windowed = sig * blackmanharris(len(sig))\n\t f = rfft(windowed)\n\n\t # Find the peak and interpolate to get a more accurate peak\n\t i = argmax(abs(f)) # Just use this for less-accurate, naive version\n\t true_i = parabolic(log(abs(f)), i)[0]\n\n\t # Convert to equivalent frequency\n\t return fs * true_i / len(windowed)","def PLV_Coh(X,Y,TW,fs):\n X = X.squeeze()\n ntaps = 2*TW - 1\n dpss = sp.signal.windows.dpss(X.size,TW,ntaps)\n N = int(2**np.ceil(np.log2(X.size)))\n f = np.arange(0,N)*fs/N\n PLV_taps = np.zeros([N,ntaps])\n Coh_taps = np.zeros([N,ntaps])\n Phase_taps = np.zeros([N,ntaps])\n for k in range(0,ntaps):\n print('tap:',k+1,'/',ntaps)\n Xf = sp.fft(X *dpss[k,:],axis=0,n=N)\n Yf = sp.fft(Y * dpss[k,:].reshape(dpss.shape[1],1),axis=0,n=N)\n XYf = Xf.reshape(Xf.shape[0],1) * Yf.conj()\n Phase_taps[:,k] = np.unwrap(np.angle(np.mean(XYf/abs(XYf),axis=1)))\n PLV_taps[:,k] = abs(np.mean(XYf / abs(XYf),axis=1))\n Coh_taps[:,k] = abs(np.mean(XYf,axis=1) / np.mean(abs(XYf),axis=1))\n \n PLV = PLV_taps.mean(axis=1)\n Coh = Coh_taps.mean(axis=1)\n Phase = Phase_taps.mean(axis=1)\n return PLV, Coh, f, Phase","def analytic_signal(s):\n\n #take FFT\n sfft = fft(s)\n freq = fftfreq(len(s))\n\n #zero out coefficients at negative frequencies\n sfft[freq < 0.0] = np.zeros(np.sum(freq < 0.0), dtype='complex')\n sfft[freq >= 0.0] *= 2.0\n\n #take the IFFT\n z = ifft(sfft)\n return z","def fbank(signal,samplerate=16000,winlen=0.025,winstep=0.01,\n nfilt=26,nfft=512,lowfreq=0,highfreq=None,preemph=0.97): \n highfreq= highfreq or samplerate/2\n print \"preemph %s\"%(preemph)\n signal = sigproc.preemphasis(signal,preemph)\n frames = sigproc.framesig(signal, winlen*samplerate, winstep*samplerate)\n matchframes(frames[0], frames[1])\n pspec = sigproc.powspec(frames,nfft)\n energy = pylab.sum(pspec,1) # this stores the total energy in each frame\n energy = pylab.where(energy == 0, pylab.finfo(float).eps, energy) # if energy is zero, we get problems with log\n fb = get_filterbanks(nfilt, nfft, samplerate, lowfreq, highfreq)\n print \"len(fb) %s\"%(len(fb))\n colour = \"k-\"\n for i in range(len(fb)):\n if colour == \"k-\":\n colour = \"r-\"\n else:\n colour = \"k-\"\n startedplot = False\n midpoint = 0\n for j in range(len(fb[i])):\n if fb[i][j] > 0:\n if startedplot == False:\n startedplot = j\n if j > 0:\n pylab.plot([j-1, j], [fb[i][j-1], fb[i][j]], colour)\n if fb[i][j] == 1.0:\n midpoint = j\n else:\n if not startedplot == False:\n pylab.plot([j-1, j], [fb[i][j-1], 0], colour)\n try:\n print \"slope to midpoint %.3f, slope from midpoint %.3f\"%(1.0/float(midpoint-startedplot), 1.0/float(midpoint-j+1))\n except:\n pass\n break\n pylab.show()\n feat = pylab.dot(pspec, fb.T) # compute the filterbank energies\n feat = pylab.where(feat == 0, pylab.finfo(float).eps, feat) # if feat is zero, we get problems with log\n return feat, energy","def freq_shift(x, f_shift, dt):\n\n # Pad the signal with zeros to prevent the FFT invoked by the transform from\n # slowing down the computation:\n N_orig = len(x)\n N_padded = 2**nextpow2(N_orig)\n t = numpy.arange(0, N_padded)\n lo = numpy.exp(2j*numpy.pi*f_shift*dt*t)\n x0 = numpy.append(x, numpy.zeros(N_padded-N_orig, x.dtype))\n h = scipy.signal.hilbert(x0)*lo\n ret = h[:N_orig].real\n return ret","def _extract_fbank(self, sig, sr):\n\n emphasized_signal = np.append(sig[0], sig[1:] - 0.97 * sig[:-1])\n frame_length, frame_step = FRAME_SIZE * sr, FRAME_STRIDE * sr\n signal_length = len(emphasized_signal)\n frame_length = int(round(frame_length))\n frame_step = int(round(frame_step))\n num_frames = int(np.ceil(float(np.abs(signal_length - frame_length)) / frame_step))\n\n pad_signal_length = num_frames * frame_step + frame_length\n z = np.zeros((pad_signal_length - signal_length))\n pad_signal = np.append(emphasized_signal, z)\n\n indices = np.tile(np.arange(0, frame_length),\n (num_frames, 1)) + np.tile(np.arange(0, num_frames * frame_step, frame_step),\n (frame_length, 1)).T\n frames = pad_signal[indices.astype(np.int32, copy=False)]\n # Apply the hamming window function\n frames *= np.hamming(frame_length)\n nfft, nfilt = 512, 40\n mag_frames = np.absolute(np.fft.rfft(frames, nfft))\n pow_frames = ((1.0 / nfft) * (mag_frames ** 2))\n low_freq_mel = 0\n \n ### AI:\n # the following line works correcty as-is in python3\n # *** high_freq_mel = (2595 * np.log10(1 + (sr / 2) / 700)) ***\n # however, in python it results in a smaller value of 'high_freq_mel'\n # as the 'sr' variable is interpreted as integer\n # it has minor impact on the performance of the natively trained and tested models\n # however, if one uses python to test the models that were created in python3\n # the models show the CER drop as much as 1% absolute\n # the line below fixes that issue completely\n high_freq_mel = (2595 * np.log10(1 + (float(sr) / 2) / 700))\n \n mel_points = np.linspace(low_freq_mel, high_freq_mel, nfilt + 2)\n hz_points = (700 * (10**(mel_points / 2595) - 1))\n bin = np.floor((nfft + 1) * hz_points / sr)\n\n fbank = np.zeros((nfilt, int(np.floor(nfft / 2 + 1))))\n for m in range(1, nfilt + 1):\n f_m_minus = int(bin[m - 1]) # left\n f_m = int(bin[m]) # center\n f_m_plus = int(bin[m + 1]) # right\n\n for k in range(f_m_minus, f_m):\n fbank[m - 1, k] = (k - bin[m - 1]) / (bin[m] - bin[m - 1])\n for k in range(f_m, f_m_plus):\n fbank[m - 1, k] = (bin[m + 1] - k) / (bin[m + 1] - bin[m])\n filter_banks = np.dot(pow_frames, fbank.T)\n filter_banks = np.where(filter_banks == 0, np.finfo(float).eps, filter_banks)\n \n # AI:\n # *** filter_banks = 20 * np.log10(filter_banks) ***\n # 'pow_frames' contains the power spectrum (i.e. squared magnitude)\n # the proper formula to convert to the logarithm scale in decibels is\n # 10*log10(POW), while 20*log10(MAG) is used for the un-squared magnitude\n # this way both formuli result in the same outcome\n filter_banks = 10 * np.log10(filter_banks)\n \n # Apply mean normalization\n filter_banks -= (np.mean(filter_banks, axis=0) + 1e-8)\n filter_banks = filter_banks.transpose()\n delta = librosa.feature.delta(filter_banks)\n double_delta = librosa.feature.delta(delta)\n fbank_feat = np.vstack([filter_banks, delta, double_delta]);\n\n fbank_feat = fbank_feat.transpose()\n\n assert np.shape(fbank_feat)[1] == 120, \"input dimensions incorrect\"\n\n # Truncate if audio sequence is too long\n fbank_length = len(fbank_feat)\n if fbank_length > self.max_input_seq_length:\n fbank_feat = fbank_feat[:self.max_input_seq_length]\n\n return fbank_feat, fbank_length","def addseeingImgFFT(img = None,fwhm=1.,e1=0.,e2=0.):\n kern = gauss_seeing(npix,fwhm=fwhm,e1=e1,e2=e2)\n img = img.astype('f') # required for the fftconvolve\n covimg = convolveH(img,kern)\n covimg = covimg/covimg.sum()\n return covimg","def robuststftL(fx,alpha=.325, nh=2**8,tstep=2**5,df=1.0,nfbins=2**10):\r\n \r\n #get length of input time series \r\n nfx=len(fx)\r\n \r\n #compute time shift list\r\n mlst=np.arange(start=-nh/2+1,stop=nh/2+1,step=1,dtype='int')\r\n #compute time locations to take STFT\r\n tlst=np.arange(start=0,stop=nfx-nh+1,step=tstep)\r\n \r\n #make a frequency list for plotting exporting only positive frequencies\r\n flst=np.fft.fftfreq(nfbins,1/df)\r\n flstc=flst[nfbins/2:]\r\n #Note: these are actually the negative frequencies but works better for\r\n #calculations\r\n flstp=flst[0:nfbins/2]\r\n \r\n #make time window and normalize\r\n sigmanh=nh/(6*np.sqrt(2*np.log(2)))\r\n h=sps.gaussian(nh,sigmanh)\r\n h=h/sum(h)\r\n \r\n #create an empty array to put the tf in and initialize a complex value\r\n tfarray=np.zeros((nfbins/2,len(tlst)),dtype='complex128')\r\n \r\n #take the hilbert transform of the signal to make complex and remove\r\n #negative frequencies\r\n fa=sps.hilbert(dctrend(fx))\r\n fa=fa/fa.std()\r\n \r\n #make a frequency list for plotting exporting only positive frequencies\r\n flst=np.fft.fftfreq(nfbins,1/df)[nfbins/2:]#get only positive frequencies\r\n \r\n #create list of coefficients\r\n a=np.zeros(nh)\r\n a[(nh-2)*alpha:alpha*(2-nh)+nh-1]=1./(nh*(1-2*alpha)+4*alpha)\r\n \r\n for tpoint,nn in enumerate(tlst):\r\n #calculate windowed correlation function of analytic function\r\n fxwin=h*fa[nn:nn+nh]\r\n for fpoint,mm in enumerate(flstc):\r\n fxelement=fxwin*np.exp(1j*2*np.pi*mlst*mm/df)\r\n fxreal=np.sort(fxelement.real)[::-1]\r\n fximag=np.sort(fxelement.imag)[::-1]\r\n tfpoint=sum(a*(fxreal+1j*fximag))\r\n if tfpoint==0.0:\r\n tfarray[fpoint,tpoint]=1E-10\r\n else:\r\n tfarray[fpoint,tpoint]=tfpoint\r\n #normalize tfarray\r\n tfarray=(4.*nh*df)*tfarray\r\n \r\n return tfarray,tlst,flstp","def fourierNP(img):\n\tgray = grayscale(img)\n\tf = np.fft.fft2(gray)\n\tfshift = np.fft.fftshift(f)\n\tmagnitude_spectrum = 20*np.log(np.abs(fshift)) # RETURN THIS\n return magnitude_spectrum","def ssc(signal,samplerate=16000,winlen=0.025,winstep=0.01,\n nfilt=26,nfft=512,lowfreq=0,highfreq=None,preemph=0.97): \n highfreq= highfreq or samplerate/2\n signal = sigproc.preemphasis(signal,preemph)\n frames = sigproc.framesig(signal, winlen*samplerate, winstep*samplerate)\n pspec = sigproc.powspec(frames,nfft)\n pspec = pylab.where(pspec == 0,pylab.finfo(float).eps,pspec) # if things are all zeros we get problems\n \n fb = get_filterbanks(nfilt,nfft,samplerate,lowfreq,highfreq)\n feat = pylab.dot(pspec,fb.T) # compute the filterbank energies\n R = pylab.tile(pylab.linspace(1,samplerate/2,pylab.size(pspec,1)),(pylab.size(pspec,0),1))\n \n return pylab.dot(pspec*R,fb.T) / feat","def highpass1(y, dt, fc=3) :\r\n tau=1/(2*np.pi*fc)\r\n alpha=tau/(tau+dt)\r\n y_filt=np.zeros(y.shape)\r\n y_filt[0]=0\r\n for i in np.arange(1,len(y)):\r\n y_filt[i]=alpha*y_filt[i-1] + alpha*(y[i]-y[i-1])\r\n m0=np.mean(y)\r\n m1=np.mean(y_filt)\r\n y_filt+=m0-m1\r\n return y_filt","def freq_by_time(sig, fs, f_range, hilbert_increase_n=False, remove_edges=True, **filter_kwargs):\n\n pha = phase_by_time(sig, fs, f_range, hilbert_increase_n,\n remove_edges, **filter_kwargs)\n\n phadiff = np.diff(pha)\n phadiff[phadiff < 0] = phadiff[phadiff < 0] + 2 * np.pi\n\n i_f = fs * phadiff / (2 * np.pi)\n i_f = np.insert(i_f, 0, np.nan)\n\n return i_f","def PLV_Coh(X,Y,TW,fs):\n X = X.squeeze()\n ntaps = 2*TW - 1\n dpss = sp.signal.windows.dpss(X.size,TW,ntaps)\n N = int(2**np.ceil(np.log2(X.size)))\n f = np.arange(0,N)*fs/N\n PLV_taps = np.zeros([N,ntaps])\n Coh_taps = np.zeros([N,ntaps])\n \n for k in range(0,ntaps):\n print('tap:',k+1,'/',ntaps)\n Xf = sp.fft(X *dpss[k,:],axis=0,n=N)\n Yf = sp.fft(Y * dpss[k,:].reshape(dpss.shape[1],1),axis=0,n=N)\n XYf = Xf.reshape(Xf.shape[0],1) * Yf.conj()\n PLV_taps[:,k] = abs(np.mean(XYf / abs(XYf),axis=1))\n Coh_taps[:,k] = abs(np.mean(XYf,axis=1) / np.mean(abs(XYf),axis=1))\n \n PLV = PLV_taps.mean(axis=1)\n Coh = Coh_taps.mean(axis=1)\n return PLV, Coh, f","def get_fft(signal):\n fs = 100.\n Fk = np.fft.rfft(signal)/len(signal)\n \n f = np.fft.rfftfreq(len(signal), 1/fs)\n #remove the noise\n Fk[0] = 0\n \n return Fk, f","def to_freq_space(img,mask):\n img_f = np.fft.fft2(img) # FFT\n #print('img_f = ', img_f)\n img_undersample = img_f * ( mask)\n #print('img_under = ', img_undersample)\n #plt.figure()\n #plt.imshow(np.abs(img_undersample),cmap='gray')\n #plt.show()\n img_fshift = np.fft.fftshift(img_undersample) # FFT shift\n img_real = img_fshift.real # Real part: (im_size1, im_size2)\n img_imag = img_fshift.imag # Imaginary part: (im_size1, im_size2)\n img_real_imag = np.dstack((img_real, img_imag)) # (im_size1, im_size2, 2)\n\n return img_real_imag","def diagnosefft(Y, df, charf, X, subband, debug=False, version=2, harmthreshold=3.0, subthreshold=3.0):\n\n #Rescale fft\n df /= X\n nHarm = 1\n score = 0.0\n if debug is True:\n harmonics = []\n subbandsNeg = []\n subbandsPos = []\n noises = []\n scores = []\n while True:\n #if second harmonic, reduce the tolerance for finding peak\n if nHarm == 1:\n per = 0.02\n else:\n per = 0.01\n #Detect the charf harmonic\n j1 = int((nHarm*charf-per*charf)/df)\n j2 = int((nHarm*charf+per*charf)/df)\n jh = np.argmax(Y[j1:j2]) + j1\n harm = Y[jh]\n #Reclaibrate characteristic frequency\n charf = df*jh/nHarm\n #Detect the noise level for the harmonic\n if version == 1:\n j1n = int((nHarm*charf-0.02*charf)/df)\n j2n = int((nHarm*charf+0.02*charf)/df)\n if jh - j1n == 0:\n noise = np.mean(Y[jh+1:j2n])\n elif j2n - (jh + 1) == 0:\n noise = np.mean(Y[j1n:jh])\n else:\n noise = (np.mean(Y[j1n:jh]) + np.mean(Y[jh+1:j2n]))/2.0\n elif version == 2:\n # Find left bottom of harmonic\n for i in range(jh, 0, -1):\n if Y[i-1] > Y[i]:\n jhl = i\n break\n # Find right bottom of harmonic\n for i in range(jh, Y.size, 1):\n if Y[i+1] > Y[i]:\n jhr = i\n break\n # j1n = int((nHarm*charf-charf)/df)\n # j2n = int((nHarm*charf+charf)/df)\n noise = (np.mean(Y[jhl-2:jhl+1]) + np.mean(Y[jhr:jhr+3]))/2.0\n # print('j1=%i, j2=%i, jh=%i, harm=%f, jhl=%i, jhr=%i, noise=%f' % (j1,j2,jh,harm,jhl,jhr,noise))\n #If there should be subbands, detect them aswell\n if subband > 0.01:\n #Check for negative subband first\n j1 = int((nHarm*charf - subband - 0.05)/df)\n j2 = int((nHarm*charf - subband + 0.05)/df)\n jsn = np.argmax(Y[j1:j2]) + j1\n negSubBand = Y[jsn]\n #Check for position subband\n j1 = int((nHarm*charf + subband - 0.05)/df)\n j2 = int((nHarm*charf + subband + 0.05)/df)\n jsp = np.argmax(Y[j1:j2]) + j1\n posSubBand = Y[jsp]\n #Make the final score!\n #If subband should exist:\n if subband > 0.01:\n if harm >= noise*harmthreshold and (negSubBand > noise*subthreshold or posSubBand > noise*subthreshold):\n score += harm/(noise*3.0)*nHarm**2.0\n nHarm += 1\n if debug is True:\n subbandsNeg.append(jsn)\n subbandsPos.append(jsp)\n harmonics.append(jh)\n noises.append(noise)\n scores.append(score)\n else:\n if debug is True:\n return score, subbandsNeg, subbandsPos, harmonics, noises, scores\n else:\n return score\n #if subband should not exist\n else:\n if harm >= noise*harmthreshold:\n score += harm/(noise*harmthreshold)*(nHarm+1.0)**2.0\n nHarm += 1\n if debug is True:\n harmonics.append(jh)\n noises.append(noise)\n scores.append(score)\n else:\n if debug is True:\n return score, subbandsNeg, subbandsPos, negSubBand, posSubBand, harmonics, noises, scores\n else:\n return score\n\n #Check if FFT is too short. If so, return what is done!\n test1 = int((nHarm*charf+0.02*charf)/df)\n test2 = int((nHarm*charf + subband + 0.05)/df)\n if test1 > Y.size or test2 > Y.size:\n if debug is True:\n return score, subbandsNeg, subbandsPos, negSubBand, posSubBand, harmonics, noises, scores\n else:\n return score","def processFile(filename,length = 256,q=1,fs_in=8000,divide=4,plot=False):\n length = length*divide\n #fs = sample rate, sound = multichannel sound signal\n try:\n fs1, sound = wavfile.read(filename)\n except ValueError:\n print(str(filename) + ' failed to process')\n return 'failed'\n if fs1 != fs_in:\n raise ValueError('Sampling rate should be ' + str(fs_in) + ' for: ' + filename)\n sig1 = sound[:0] #left channel\n pre_emphasis = 0.97\n sig1 = np.append(sig1[0], sig1[1:] - pre_emphasis * sig1[:-1])\n\n \n fs2, sig2 = downsample(sig1,fs1,q)\n N2 = len(sig2)\n sig3 = sig2[N2//2-length:N2//2+length]\n #print(len(sig3))\n\n FFT = abs(scipy.fft(sig3))\n FFT_side = FFT[range(len(FFT)//2)]\n #freqs = scipy.fftpack.fftfreq(sig3.size, 1/fs2)\n #plt.plot(freqs,FFT)\n if len(FFT_side) != length:\n print('ERROR MESSAGE DETAILS')\n print('filename: ' + filename)\n print('length = ' + str(length))\n print('fs_in = ' + str(fs_in))\n print('q = ' + str(q))\n print('divide = ' + str(divide))\n total_time = len(sig1)/fs1\n print('total_time = ' + str(total_time))\n print('Please check: length < total_time*fs//(2*q)')\n print('Check: ' + str(length) + ' < ' + str(total_time*fs1//(2*q)))\n raise ValueError('Length FFT_side != length: ' + str(len(FFT_side)) + ' != ' + str(length))\n \n \n FFT_log = []\n # normalize FFT\n for value in FFT_side:\n value = np.log(value)\n FFT_log.append(value)\n max_val = getMax(FFT_log)[1]\n FFT_norm = []\n for value in FFT_log:\n FFT_norm.append(value/max_val)\n \n \n FFT_side = np.array(FFT_norm)\n FFT_divided = FFT_side[range(length//divide)]\n #plot = True\n if plot == True:\n freqs = scipy.fftpack.fftfreq(sig3.size, 1/fs2)\n freqs_divided = np.array(freqs[range(len(FFT_divided))])\n plt.plot(freqs_divided,FFT_divided) # plotting the complete fft spectrum\n plt.show()\n \n return FFT_divided","def detect_freqs(self):\n n_fft_bins = self._config[\"audio_config\"][\"N_FFT_BINS\"]\n channel_avgs = []\n differences = []\n \n for i in range(n_fft_bins):\n channel_avgs.append(sum(self.freq_channels[i])/len(self.freq_channels[i]))\n differences.append(((self.freq_channels[i][0]-channel_avgs[i])*100)//channel_avgs[i])\n for i in [\"beat\", \"low\", \"mid\", \"high\"]:\n if any(differences[j] >= self.min_percent_diff[i]\\\n and self.freq_channels[j][0] >= self.min_detect_amplitude[i]\\\n for j in range(*self.detection_ranges[i]))\\\n and (time.time() - self.prev_freq_detects[i] > 0.2)\\\n and len(self.freq_channels[0]) == self.freq_channel_history:\n self.prev_freq_detects[i] = time.time()\n self.current_freq_detects[i] = True\n else:\n self.current_freq_detects[i] = False","def mfcc(signal,samplerate=16000,winlen=0.025,winstep=0.01,numcep=13,\n nfilt=26,nfft=512,lowfreq=0,highfreq=None,preemph=0.97,ceplifter=22,appendEnergy=True): \n feat, energy = fbank(signal,samplerate,winlen,winstep,nfilt,nfft,lowfreq,highfreq,preemph)\n feat = pylab.log(feat)\n feat = dct(feat, type=2, axis=1, norm='ortho')[:,:numcep]\n feat = lifter(feat,ceplifter)\n if appendEnergy: feat[:,0] = pylab.log(energy) # replace first cepstral coefficient with log of frame energy\n return feat","def lowpassFFT(signal, rate, cutoff):\n fft = np.fft.fft(signal)\n fftfreq = np.fft.fftfreq(len(signal), 1/rate)\n for i, freq in enumerate(fftfreq):\n if abs(freq) >= cutoff:\n fft[i] = 0\n signal = np.fft.ifft(fft)\n return signal","def frequency_fft(vis, freq, dim, taper=np.ones_like, n_obs =1):\n ft = []\n W = (freq.max() - freq.min()) / n_obs\n L = int(len(freq) / n_obs)\n \n for ii in range(n_obs):\n ft.append(fft(vis[:,:,ii*L:(ii+1)*L] * taper(L), W, axes=(2,), a=0, b=2 * np.pi)[0][:,:,int(L/2):]) # return the positive part)\n \n ft = np.array(ft)\n return ft","def autoc(array):\r\n return ifft2(np.square(np.abs(fft2(array))))","def constract(phase, magnitude):\n new_spectrum = magnitude * np.exp(1j * phase)\n\n # reverse the shift and FFT\n f_ishift = np.fft.ifftshift(new_spectrum)\n img_back = np.fft.ifft2(f_ishift)\n \n return np.abs(img_back)","def plot_carrier_frequency(self):\r\n roi = self.phase_roi\r\n phase_slice = (slice(roi[2], roi[3]), slice(roi[0], roi[1]))\r\n # calculation\r\n S = self.image[phase_slice] # signal in phase_roi\r\n t_axis = self.image.x_axis[roi[0]:roi[1]] # [ns] time axis\r\n y_axis = self.image.y_axis[roi[2]:roi[3]] # [mic] spatial scale\r\n N = S.shape[0]//2\r\n\r\n s = np.fft.fft(S, axis=0) / N # fft\r\n s_abs = np.abs(s[:N,:])\r\n f_axis = np.arange(N) / (2 * N) # spatial frequency axis\r\n\r\n s_mean = np.log10(np.mean(s_abs, axis=1))\r\n i0 = np.argmax(s_mean[3:])\r\n f0 = f_axis[3+i0] # [px^-1] fringe carrier frequency (estimate)\r\n s0 = s_mean[3+i0]\r\n sys.stdout.write(\"{} VISAR-{} fringe period = {:.1f} px\\n\".format(\r\n self.h5.shot_id[:11], self.leg, 1/f0))\r\n\r\n # plot calcs\r\n vlim_0 = dataimage.thresh_vlim(S, 0.01)\r\n vlim_1 = dataimage.thresh_vlim(np.log10(s_abs), (0.02, 0.005))\r\n tlim = (t_axis[0], t_axis[-1])\r\n ylim = (y_axis[0], y_axis[-1])\r\n flim = (0, 0.5) # [1/px]\r\n extent_0 = tlim + (0, S.shape[0]) # extent for signal\r\n# extent_0 = tlim + ylim # extent for signal\r\n extent_1 = tlim + flim # extent for fft\r\n\r\n # figure\r\n fig = plt.figure(figsize=(7,7), dpi=100)\r\n axs = []\r\n axs.append(fig.add_subplot(221, ylabel='[px]', title='signal'))\r\n axs.append(fig.add_subplot(222, sharey=axs[0], title='spatial lineout'))\r\n axs.append(fig.add_subplot(223, sharex=axs[0], title='log(fft(signal))',\r\n xlabel='time [ns]', ylabel=\"spatial frequency [px^-1]\"))\r\n axs.append(fig.add_subplot(224, sharey=axs[2], xlabel='log10(power)', title='spectral lineout'))\r\n\r\n axs[0].imshow(S, extent=extent_0,\r\n aspect='auto', vmin=vlim_0[0], vmax=vlim_0[1])\r\n axs[2].imshow(np.log10(s_abs), extent=extent_1,\r\n aspect='auto', vmin=vlim_1[0], vmax=vlim_1[1])\r\n axs[1].plot(np.mean(S, axis=1), np.arange(S.shape[0]))\r\n axs[3].plot(s_mean, f_axis)\r\n axs[0].set_ylim(*extent_0[2:])\r\n \r\n axs[3].annotate(\"fringe period\\n= {:.1f} px\".format(1/f0),\r\n (s0, f0), (0.95, 0.5), textcoords='axes fraction',\r\n arrowprops=dict(width=1, headwidth=6, facecolor='k',\r\n shrink=0.03), ha='right',)\r\n\r\n axs[3].axhline(f0*0.7, color='r', linestyle='dashed')\r\n axs[3].axhline(f0*1.4, color='r', linestyle='dashed')\r\n\r\n fig.tight_layout()\r\n fig.canvas.window().move(0,0)\r\n return fig","def calcFFT(self):\n try:\n arr = np.fromstring(self.fqueue, dtype=np.float32)\n # Slice for improved performance [200:len(arr)/2:50]#[len(arr)/2:]\n fft = np.fft.fft(arr)[len(arr)/2:]\n f = lambda x: 100 + 20. * log(abs(x))\n mag = map(f, fft)\n\n self.sock.send('f' + json.dumps({\n 'nsamp': len(mag),\n 'samples': mag}))\n self.fqueue = \"\"\n self.fcount = 0\n except:\n pass","def __init__(self, N=1024, fc=50., tmax=1., delay=None):\n fc = float(fc)\n tmax = float(tmax)\n dt = tmax / (N-1)\n df = 1. / tmax\n istart = -N//2 + 1\n nroll = -istart\n t = np.arange(istart, N // 2 + 1) * dt\n f = np.arange(istart, N // 2 + 1) * df\n # arrange f as positve, negative freqs\n f = np.roll(f, -nroll)\n\n # freq domain ricker\n ricker_f = 2 * f**2 / (np.sqrt(np.pi) * fc**3) * np.exp(-(f/fc)**2)\n\n if delay is None:\n delay = 1.5 / fc\n ricker_f = ricker_f * np.exp(-1j * 2 * np.pi * f * delay)\n\n # time domain ricker\n ricker_t = N * np.real(np.fft.ifft(ricker_f))\n\n\n amp = np.absolute(ricker_f)\n phase = np.unwrap(np.angle(ricker_f, False))\n\n # ricker_f[0] contains the zero frequency term,\n # ricker_f[1:N//2] contains the positive-frequency terms,\n # ricker_f[N//2 + 1:] contains the negative-frequency terms,\n # in increasing order starting from the most negative frequency\n self.delay = delay\n self.fc = fc\n self.dt = dt\n # arange t and ricker_t in the order of increasing time; the zero phase case contains negative time\n\n self.ricker_t = np.roll(ricker_t, nroll)\n self.f = f\n self.t = t\n self.df = df\n self.ricker_f = ricker_f\n self.amp = amp\n self.phase = phase\n self.nroll = nroll","def irregularity(signal,fs, **kwargs):\n S = np.abs(np.fft.fft(signal))\n fv = np.fft.fftfreq(len(S), 1./fs)\n idx = fv >= 0\n S_plus = S[idx]\n fv_plus = fv[idx]\n S_k = S_plus[1:-1]\n S_left = S_plus[2:]\n S_right = S_plus[:-2]\n return np.log(20*np.sum(np.abs(np.log(S_k/(S_left*S_k*S_right)**(1./3)))))","def _irfft2d(f_x) :","def continuous_hann_sinc_filter(\n fs: int, fc: float, L: int, dtype: torch.dtype, device: torch.device\n) -> Tensor:\n assert L % 2 == 1\n assert fc < fs / 2\n hsupp = torch.linspace(-(L-1)/2, (L-1)/2, L, dtype=dtype, device=device)\n hideal = (2 * fc / fs) * torch.sinc(2 * fc * hsupp / fs)\n hann = torch.hann_window(L, dtype=dtype, device=device)\n return hideal * hann","def _calc_Lc(self, signal, dx):\n\n Wwin = np.fft.rfftfreq(len(signal), dx)\n f_signal = np.fft.rfft(signal)\n amplitude = np.abs(f_signal) * dx\n power = amplitude ** 2\n fc = np.sum(power[1:]*Wwin[1:])/np.sum(power[1:])\n\n return 1/fc","def temporal_ideal_filter(tensor,low,high,fps,axis=0): \n fft=fftpack.fft(tensor,axis=axis)\n frequencies = fftpack.fftfreq(tensor.shape[0], d=1.0 / fps)\n bound_low = (np.abs(frequencies - low)).argmin()\n bound_high = (np.abs(frequencies - high)).argmin()\n if (bound_low==bound_high) and (bound_high<len(fft)-1):\n bound_high+=1\n fft[:bound_low] = 0\n fft[bound_high:-bound_high] = 0\n fft[-bound_low:] = 0\n iff=fftpack.ifft(fft, axis=axis)\n \n return np.abs(iff)","def logfbank(signal,samplerate=16000,winlen=0.025,winstep=0.01,\n nfilt=26,nfft=512,lowfreq=0,highfreq=None,preemph=0.97): \n feat, energy = fbank(signal,samplerate,winlen,winstep,nfilt,nfft,lowfreq,highfreq,preemph)\n return pylab.log(feat)","def apply_fft(audio):\n\treturn numpy.abs(numpy.fft.rfft(audio))","def linear_filter1D(sin, sout, lag=0, debug=0):\n \n assert len(sin) == len(sout), \"Signals must be same length! len(sin)=%d, len(sout)=%d\" % (len(sin), len(sout))\n assert np.sum(np.isnan(sin)) == 0, \"There are NaNs in sin\"\n assert np.sum(np.isnan(sout)) == 0, \"There are NaNs in sout\"\n \n lags = np.asarray(range(-lag, lag+1, 1)) \n corrSinSout = correlation_function(sin, sout, lags, mean_subtract=True, normalize=False)\n corrSinSin = correlation_function(sin, sin, lags, mean_subtract=True, normalize=False)\n corrSoutSout = correlation_function(sout, sout, lags, mean_subtract=True, normalize=False)\n win = hann(2*lag+1)\n\n \n if lag == 0:\n h = corrSinSout/corrSinSin\n fvals = 0\n gf = corrSinSout**2/(corrSinSin*corrSoutSout)\n else:\n # Normalize in the frequency domain\n corrSinSoutF = fft(corrSinSout*win)\n corrSinSinF = fft(corrSinSin*win)\n corrSoutSoutF = fft(corrSoutSout*win)\n hF = corrSinSoutF/np.abs(corrSinSinF)\n gf = np.abs(corrSinSoutF*corrSinSoutF.conj())/(np.abs(corrSinSinF)*np.abs(corrSoutSoutF))\n fvals = fftfreq(len(corrSinSout))\n h = ifft(hF)\n\n# Plots for debugging/analyzing\n if debug: \n # Time domain plots\n plt.figure()\n plt.subplot(141)\n plt.plot(lags, corrSinSout*win)\n plt.title('Cross-Corr')\n plt.subplot(142)\n plt.plot(lags, corrSinSin*win)\n plt.title('Auto-Corr Input')\n plt.subplot(143)\n plt.plot(lags, corrSoutSout*win)\n plt.title('Auto-Corr Output')\n plt.subplot(144)\n plt.plot(lags, h)\n plt.title('Filter')\n \n # Frequency domain plots\n plt.figure()\n fmid = len(fvals)//2\n plt.subplot(131)\n plt.plot(fvals[0:fmid], abs(corrSinSinF[0:fmid]) )\n plt.title('Input Power')\n plt.subplot(132)\n plt.plot(fvals[0:fmid], abs(corrSoutSoutF[0:fmid]) )\n plt.title('Output Power')\n plt.subplot(133)\n plt.plot(fvals[0:fmid], gf[0:fmid])\n plt.title('Coherence')\n \n return h, lags, gf, fvals","def chisqgrad_cphase_fft(vis_arr, A, clphase, sigma,\n order=FFT_INTERP_DEFAULT, conv_func=GRIDDER_CONV_FUNC_DEFAULT, p_rad=GRIDDER_P_RAD_DEFAULT):\n \"\"\"The gradient of the amplitude chi-squared\"\"\"\n im_info, (uv1, uv2, uv3) = A\n (xdim, ydim, npad, psize, pulse) = im_info\n phase1 = np.exp(-1j*np.pi*psize*(uv1[:,0] + uv1[:,1]))\n phase2 = np.exp(-1j*np.pi*psize*(uv2[:,0] + uv2[:,1]))\n phase3 = np.exp(-1j*np.pi*psize*(uv3[:,0] + uv3[:,1]))\n pulsefac1 = np.array([pulse(2*np.pi*uvpt[0], 2*np.pi*uvpt[1], psize, dom=\"F\") for uvpt in uv1])\n pulsefac2 = np.array([pulse(2*np.pi*uvpt[0], 2*np.pi*uvpt[1], psize, dom=\"F\") for uvpt in uv2])\n pulsefac3 = np.array([pulse(2*np.pi*uvpt[0], 2*np.pi*uvpt[1], psize, dom=\"F\") for uvpt in uv3])\n # parameters to unpad the array \n padvalx1 = padvalx2 = int(np.floor((npad - xdim)/2.0))\n if xdim % 2:\n padvalx2 += 1\n padvaly1 = padvaly2 = int(np.floor((npad - ydim)/2.0))\n if ydim % 2:\n padvaly2 += 1\n\n clphase = clphase * DEGREE\n sigma = sigma * DEGREE\n\n v1 = sampler(vis_arr, im_info, [uv1], order=order, sample_type=\"vis\")\n v2 = sampler(vis_arr, im_info, [uv2], order=order, sample_type=\"vis\")\n v3 = sampler(vis_arr, im_info, [uv3], order=order, sample_type=\"vis\")\n clphase_samples = np.angle(v1*v2*v3)\n\n pref = (2.0/len(clphase)) * np.sin(clphase - clphase_samples)/(sigma**2)\n pt1 = pref/v1.conj()\n pt2 = pref/v2.conj()\n pt3 = pref/v3.conj()\n\n # Setup and perform the inverse FFT\n wdiff_arr1 = gridder(pt1 * phase1.conj() * pulsefac1.conj(), im_info, uv1, conv_func=conv_func, p_rad=p_rad) \n wdiff_arr2 = gridder(pt2 * phase2.conj() * pulsefac2.conj(), im_info, uv2, conv_func=conv_func, p_rad=p_rad) \n wdiff_arr3 = gridder(pt3 * phase3.conj() * pulsefac3.conj(), im_info, uv3, conv_func=conv_func, p_rad=p_rad) \n grad_arr = np.fft.ifftshift(np.fft.ifft2(np.fft.fftshift(wdiff_arr1 + wdiff_arr2 + wdiff_arr3))) * npad * npad\n\n # extract relevant cells and flatten\n out = np.imag(grad_arr[padvalx1:-padvalx2,padvaly1:-padvaly2].flatten()) # TODO or is x<-->y??\n\n return out","def DFTscargle(times, signal,f0,fn,df):\n f0 = 0.\n #fn *= 2*np.pi\n #df *= 2*np.pi\n #-- initialize\n nfreq = int((fn-f0)/(df))\n print \"Nfreq=\",nfreq\n tzero = times[0]\n si = 1.\n lfreq = 2*nfreq+1\n mm = 2*nfreq\n ftrx = np.zeros(mm)\n ftix = np.zeros(mm)\n om = np.zeros(mm)\n w = np.zeros(mm)\n wz = df #pi/(nn+dt)\n nn = len(times)\n \n #-- calculate DFT\n ftrx,ftix,om,w = pydft.ft(signal,times,wz,nfreq,si,lfreq,tzero,df,ftrx,ftix,om,w,nn,mm)\n \n if f0==0:\n ftrx[1:] *= np.sqrt(2)\n ftix[1:] *= np.sqrt(2)\n w[1:] *= np.sqrt(2)\n \n cut_off = len(w)\n for i in range(0,len(w))[::-1]:\n if w[i] != 0: cut_off = i+1;break\n \n om = om[:cut_off]\n ftrx = ftrx[:cut_off]\n ftix = ftix[:cut_off]\n w = w[:cut_off]\n \n # norm amplitudes for easy inversion\n T = times[-1]-times[0]\n N = len(times)\n \n w *= T/(2.*N)\n ftrx *= T/(2.*N)\n ftix *= T/(2.*N)\n \n return om*2*np.pi,w,ftrx,ftix","def spectral_roll_on(sign, fs):\n output = 0\n f, ff = plotfft(sign, fs)\n cum_ff = np.cumsum(ff)\n value = 0.05*(sum(ff))\n\n for i in range(len(ff)):\n if cum_ff[i] >= value:\n output = f[i]\n break\n return output","def fft_index(fft, frequency):\n\treturn 2 * int(len(fft) * frequency / AUDIO_RATE) # Not entirely clear on why I need to multiply by 2 here. I don't need to if I use fft instead of rfft, but then I get a bunch of crazy high frequency FFT data, or is it complex numbers or something...","def lam(freq):\n return C / freq","def amp_by_time(sig, fs, f_range, hilbert_increase_n=False, remove_edges=True, **filter_kwargs):\n\n sig_filt, kernel = filter_signal(sig, fs, infer_passtype(f_range), f_range=f_range,\n remove_edges=False, return_filter=True, **filter_kwargs)\n\n amp = np.abs(robust_hilbert(sig_filt, increase_n=hilbert_increase_n))\n\n if remove_edges:\n amp = remove_filter_edges(amp, len(kernel))\n\n return amp","def input_f(t,decay=0.5,freq=1.5):\n u_t = 1*(t>0)\n return np.cos(freq*t)*np.exp(-decay*t) * u_t","def logfbank(signal,samplerate=16000,winlen=0.025,winstep=0.01,\n nfilt=40,nfft=512,lowfreq=64,highfreq=None,dither=1.0,remove_dc_offset=True,preemph=0.97,wintype='hamming'):\n feat,energy = fbank(signal,samplerate,winlen,winstep,nfilt,nfft,lowfreq,highfreq,dither, remove_dc_offset,preemph,wintype)\n return numpy.log(feat)","def rfft2d_freqs(h, w):\n\n fy = np.fft.fftfreq(h)[:, None]\n # when we have an odd input dimension we need to keep one additional\n # frequency and later cut off 1 pixel\n if w % 2 == 1:\n fx = np.fft.fftfreq(w)[: w // 2 + 2]\n else:\n fx = np.fft.fftfreq(w)[: w // 2 + 1]\n return np.sqrt(fx * fx + fy * fy)","def spectrogram(sig, window_size=256, step_scale=4, zer_pad=2, time_array=None,fft_type='fft', log=False, normalize=0, dc_cut=0, fft_shift=0,filtered=0, freq_mask=[]):\n\n # alias for sig length\n sig=np.concatenate((np.zeros(window_size/4),sig,np.zeros(window_size/4)))\n N = len(sig)\n\n # SFFT step size,\n step = int(window_size / step_scale)\n\n if time_array is not None:\n # beating frequency\n if len(time_array) == len(sig):\n beat_freq=eval_beat_freq(time_array,window_size=window_size,zer_pad=zer_pad,fft_shift=fft_shift)\n else:\n raise ValueError('length of time array and signal are different to evaluate spectrogram')\n\n # time array for spectrogram\n time_spec = np.linspace(time_array[window_size], time_array[-window_size], num=(N - window_size) / step)\n\n # creates the window function that will 'slide' trough the signal\n # to evaluate each FFT. Kaiser seems to be the cleanest one\n #window_func = np.hanning(window_size)\n #window_func = signal.tukey(window_size, 0.25)\n window_func = signal.kaiser(window_size, 10)\n\n # if not shifting, treats as if real signal\n factor=2\n if fft_shift:\n factor=1\n\n # create a matrix to receive the spectra\n mat_Y=window_size*zer_pad/factor\n #if len(freq_mask)!=0:\n # mat_Y=len(np.where(freq_mask)[0])\n matrix = np.empty(((N - window_size) / step, mat_Y))\n\n if filtered == 1:\n b, a, zi = _init_filter()\n\n # slide window trough signal, and evaluates the FFT.\n for i in range(int((N - window_size) / step)):\n t = i * step\n new_sig = sig[t:t + window_size]\n #print(len(new_sig))\n try:\n new_sig = np.multiply(new_sig, window_func)\n except ValueError:\n print(len(new_sig), i, t)\n if t < window_size:\n new_sig = np.multiply(new_sig, window_func[:len(new - sig)])\n elif t > window_size:\n new_sig = np.multiply(new_sig, window_func[-len(new - sig):])\n if fft_type == 'fft':\n fft_sig = fftpack.fft(new_sig, n=zer_pad * window_size)[:window_size*zer_pad]\n #fft_sig = fftpack.rfft(new_sig, zer_pad * window_size)[:window_size]\n elif fft_type == 'welch':\n freqs, fft_sig = signal.welch(new_sig, nfft=zer_pad * window_size*zer_pad)\n fft_sig = fft_sig[1:window_size]\n if dc_cut == True:\n fft_sig = np.concatenate(\n ([fft_sig[1]], fft_sig[1:-1], [fft_sig[1]]))\n if fft_shift == 1:\n fft_sig = np.fft.fftshift(fft_sig)\n else:\n fft_sig=fft_sig[:len(fft_sig)/factor]\n fft_sig=abs(fft_sig)\n # if len(freq_mask)!=0:\n # fft_sig[freq_mask == False] = np.nan\n # fft_sig=fft_sig[freq_mask]\n # if normalize == True:\n # fft_sig *= (1. / fft_sig.max())\n # if log == True:\n # fft_sig = np.log(fft_sig)\n if filtered == 1:\n fft_sig = _butter_filter(fft_sig, b, a, zi)\n if 0:\n import matplotlib.pyplot as plt\n plt.figure('sfft')\n plt.clf()\n print(i, t, t + window_size, len(sig[t:t + window_size]))\n plt.plot(sig[t:t + window_size], 'b',label='signal')\n plt.plot(window_func, 'k',label='window')\n plt.plot(new_sig, 'r',label='signal w/ window')\n plt.legend(loc='best')\n plt.twinx()\n plt.plot(fft_sig, 'c')\n plt.draw()\n input('')\n\n matrix[i] = fft_sig\n\n if len(freq_mask)!=0:\n matrix=matrix[:,freq_mask]\n\n if normalize == True:\n matrix /= matrix.max(axis=1)[:, None]\n\n if log == True:\n matrix = np.log(matrix)\n\n if time_array is not None:\n return matrix.transpose(), time_spec, beat_freq\n else:\n return matrix.transpose()","def create_fft_freq(dt, nfft, full):\n freqs = da.fft.fftfreq(nfft, d=dt) \n\n if (nfft % 2 == 0):\n freqs = da.hstack([freqs[0: nfft // 2], -freqs[nfft //2], freqs[nfft // 2:nfft]])\n if full:\n freqs = da.fft.fftshift(freqs)\n else:\n freqs = freqs[0:nfft // 2 + 1]\n\n return(freqs)","def computebandfftfilter_gauss(signal0,dt,fc,sigma0,lTime): \n signal1=np.concatenate((signal0[0]*np.linspace(1,1,100), signal0, signal0[-1]*np.linspace(1,1,100)))\n fc=fc*2*np.pi\n sigma=sigma0*2*np.pi\n\n NFFT = 2**nextpow2(len(signal1))\n fourier=scipy.fft(signal1,NFFT) \n \n# %dt=.5;\n f = 2*np.pi*(1/dt)*(np.linspace(0,NFFT-1,NFFT))/NFFT #CORRECT! \n fil = np.exp((-(f-fc)**2)/(2*sigma**2))\n signfiltf = np.multiply(fil,fourier)\n\n #new ifft \n points = int(NFFT/2)\n fas = signfiltf[range(points)]\n \n # Using only first half, rebuild full FAS by taking conjugate\n fas_eqsig = np.zeros(len(signfiltf), dtype=complex)\n #! Do not start from fas[0]\n fas_eqsig[1:NFFT // 2] = fas[1:]\n fas_eqsig[NFFT // 2 + 1:] = np.flip(np.conj(fas[1:]), axis=0) \n # Inverse the rebuilt FAS to obtain the time series\n sft = np.fft.ifft(fas_eqsig, n=NFFT) \n \n# %signal=interp1(0:length(sft)-1,sft,time);\n stfinal=sft[100:len(signal1)-100] \n \n return stfinal","def frequency_filter(fc, L, srf, KIND=2):\n\n if hasattr(KIND, \"__len__\"):\n PASS = KIND\n KIND = 2\n else:\n PASS = [2,3]\n KIND = [KIND]\n\n # fourier transform of lateral inhibitory function \n\n # tonotopic axis\n if issubclass(type(fc), str):\n fc = float(fc)\n R1 = np.arange(L).astype(np.float)/L*srf/2/np.abs(fc)\n\n if KIND == 1:\n # Gabor function\n C1 = 1./2/0.3/0.3\n H = np.exp(-C1*(R1-1)**2) + np.exp(-C1*(R1+1)**2)\n else:\n # Gaussian Function\n R1 = R1 ** 2\n H = R1 * np.exp(1-R1)\n\n # passband\n if PASS[0] == 1:\n #lowpass\n maxi = np.argmax(H)\n sumH = H.sum()\n H[0:maxi] = 1\n H = H / (H.sum() or 1) * sumH\n elif PASS[0] == PASS[1]:\n # highpass\n maxi = np.argmax(H)\n sumH = H.sum()\n H[maxi+1:L] = 1\n H = H / (H.sum() or 1) * sumH\n\n return H","def phase_by_time(sig, fs, f_range, hilbert_increase_n=False, remove_edges=True, **filter_kwargs):\n\n sig_filt, kernel = filter_signal(sig, fs, infer_passtype(f_range), f_range=f_range,\n remove_edges=False, return_filter=True, **filter_kwargs)\n\n pha = np.angle(robust_hilbert(sig_filt, increase_n=hilbert_increase_n))\n\n if remove_edges:\n pha = remove_filter_edges(pha, len(kernel))\n\n return pha","def mfcc(signal,samplerate=16000,winlen=0.025,winstep=0.01,numcep=13,\n nfilt=23,nfft=512,lowfreq=20,highfreq=None,dither=1.0,remove_dc_offset=True,preemph=0.97,\n ceplifter=22,useEnergy=True,wintype='povey'):\n feat,energy = fbank(signal,samplerate,winlen,winstep,nfilt,nfft,lowfreq,highfreq,dither,remove_dc_offset,preemph,wintype)\n feat = numpy.log(feat)\n feat = dct(feat, type=2, axis=1, norm='ortho')[:,:numcep]\n feat = lifter(feat,ceplifter)\n if useEnergy: feat[:,0] = numpy.log(energy) # replace first cepstral coefficient with log of frame energy\n return feat","def convolve(img, fourier_kernel):\n return np.fft.ifftshift(np.fft.irfft2(np.fft.rfft2(img) * fourier_kernel))","def fft2(X):\r\n # return scipy.fftpack.fft2(X)\r\n return np.fft.fft2(X)","def convolve(signal, filter):\r\n\r\n # Make the signal and filter the correct size\r\n padded_signal, padded_filter = preprocess(signal, filter) # Constant time\r\n fft_signal = fft(padded_signal) # Log(n) complexity\r\n fft_filter = fft(padded_filter) # Log(n) complexity\r\n filtered_signal = np.multiply(fft_signal, fft_filter) # Element wise multiply (p multiplies)\r\n time_signal = inverse_fft(filtered_signal) # O(N^2)\r\n # Remove excess zeros\r\n time_signal = postprocess(time_signal, signal.size, filter.size) # O(N)\r\n print(\"Done Filtering\")\r\n # return np.convolve(filter, signal) # Replace with your fft implementation\r\n return time_signal","def reassignedstft(fx,nh=2**6-1,tstep=2**5,nfbins=2**10,df=1.0,alpha=4,\r\n threshold=None):\r\n #make sure fx is type array\r\n fx=np.array(fx)\r\n #compute length of fx\r\n nx=len(fx)\r\n \r\n #make sure window length is odd\r\n if np.remainder(nh,2)==0:\r\n nh=nh+1\r\n \r\n #compute gaussian window\r\n h=gausswin(nh,alpha=alpha)\r\n #h=np.hanning(nh)\r\n lh=(nh-1)/2\r\n \r\n #compute ramp window\r\n th=h*np.arange(start=-lh,stop=lh+1,step=1)\r\n \r\n #compute derivative of window\r\n dh=dwindow(h)\r\n \r\n #make a time list of indexes\r\n tlst=np.arange(start=0,stop=nx,step=tstep)\r\n nt=len(tlst)\r\n \r\n #make a frequency list\r\n flst=np.fft.fftfreq(nfbins,1./df)[nfbins/2:]\r\n \r\n #initialize some time-frequency arrays\r\n tfr=np.zeros((nfbins,nt),dtype='complex128')\r\n tf2=np.zeros((nfbins,nt),dtype='complex128')\r\n tf3=np.zeros((nfbins,nt),dtype='complex128')\r\n \r\n #compute components for reassignment\r\n for ii,tt in enumerate(tlst):\r\n \t#create a time shift list\r\n tau=np.arange(start=-min([np.round(nx/2.),lh,tt-1]),\r\n stop=min([np.round(nx/2.),lh,nx-tt-1])+1)\r\n \t#compute the frequency spots to be calculated\r\n ff=np.remainder(nfbins+tau,nfbins)\r\n xlst=tt+tau\r\n hlst=lh+tau\r\n normh=np.sqrt(np.sum(abs(h[hlst])**2))\r\n tfr[ff,ii]=fx[xlst]*h[hlst].conj()/normh\r\n tf2[ff,ii]=fx[xlst]*th[hlst].conj()/normh\r\n tf3[ff,ii]=fx[xlst]*dh[hlst].conj()/normh\r\n \r\n #compute Fourier Transform\r\n spec=np.fft.fft(tfr,axis=0)\r\n spect=np.fft.fft(tf2,axis=0)\r\n specd=np.fft.fft(tf3,axis=0)\r\n \r\n #get only positive frequencies\r\n spec=spec[nfbins/2:,:]\r\n spect=spect[nfbins/2:,:]\r\n specd=specd[nfbins/2:,:]\r\n \r\n #check to make sure no spurious zeros floating around\r\n szf=np.where(abs(spec)<1.E-6)\r\n spec[szf]=0.0\r\n zerofind=np.nonzero(abs(spec))\r\n twspec=np.zeros((nfbins/2,nt),dtype='float')\r\n dwspec=np.zeros((nfbins/2,nt),dtype='float')\r\n twspec[zerofind]=np.round(np.real(spect[zerofind]/spec[zerofind])/1)\r\n dwspec[zerofind]=np.round(np.imag((nfbins/2.)*specd[zerofind]/spec[zerofind])/\r\n (np.pi))\r\n \r\n #compute reassignment\r\n rtfarray=np.zeros_like(spec)\r\n \r\n if threshold==None:\r\n threshold=1.E-4*np.mean(fx[tlst])\r\n\r\n for nn in range(nt):\r\n for kk in range(nfbins/2):\r\n if abs(spec[kk,nn])>threshold:\r\n #get center of gravity index in time direction\r\n nhat=int(nn+twspec[kk,nn])\r\n nhat=int(min([max([nhat,1]),nt-1]))\r\n #get center of gravity index in frequency direction\r\n khat=int(kk-dwspec[kk,nn])\r\n khat=int(np.remainder(np.remainder(khat-1,nfbins/2)+nfbins/2,\r\n nfbins/2))\r\n #reassign energy\r\n rtfarray[khat,nhat]=rtfarray[khat,nhat]+spec[kk,nn]\r\n #rtfarray[kk,nn]=spec[khat,nhat]\r\n spect[kk,nn]=khat+1j*nhat\r\n else:\r\n spect[kk,nn]=np.inf*(1+1j)\r\n rtfarray[kk,nn]=rtfarray[kk,nn]+spec[kk,nn]\r\n \r\n return rtfarray,tlst,flst,spec","def detect_beats(ecg, rate, ransac_window_size=5.0, lowfreq=5.0, highfreq=15.0):\n\n ransac_window_size = int(ransac_window_size * rate)\n\n lowpass = scipy.signal.butter(1, highfreq / (rate / 2.0), 'low')\n highpass = scipy.signal.butter(1, lowfreq / (rate / 2.0), 'high')\n # TODO: Could use an actual bandpass filter\n ecg_low = scipy.signal.filtfilt(*lowpass, x=ecg)\n ecg_band = scipy.signal.filtfilt(*highpass, x=ecg_low)\n\n # Square (=signal power) of the first difference of the signal\n decg = np.diff(ecg_band)\n decg_power = decg ** 2\n\n # Robust threshold and normalizator estimation\n thresholds = []\n max_powers = []\n for i in range(int(len(decg_power) / ransac_window_size)):\n sample = slice(i * ransac_window_size, (i + 1) * ransac_window_size)\n d = decg_power[sample]\n thresholds.append(0.5 * np.std(d))\n max_powers.append(np.max(d))\n\n threshold = np.median(thresholds)\n max_power = np.median(max_powers)\n decg_power[decg_power < threshold] = 0\n\n decg_power /= max_power\n decg_power[decg_power > 1.0] = 1.0\n square_decg_power = decg_power ** 2\n square_decg_power[square_decg_power < 1e-12] = 1e-12\n\n shannon_energy = -square_decg_power * np.log(square_decg_power)\n shannon_energy[~np.isfinite(shannon_energy)] = 0.0\n\n mean_window_len = int(rate * 0.125 + 1)\n lp_energy = np.convolve(shannon_energy, [1.0 / mean_window_len] * mean_window_len, mode='same')\n\n lp_energy = scipy.ndimage.gaussian_filter1d(lp_energy, rate / 8.0)\n lp_energy_diff = np.diff(lp_energy)\n\n zero_crossings = (lp_energy_diff[:-1] > 0) & (lp_energy_diff[1:] < 0)\n zero_crossings = np.flatnonzero(zero_crossings)\n zero_crossings -= 1\n return zero_crossings","def freqdomain(self):\n \n\n #self.df = self.f[1] - self.f[0]\n #frequency vector\n #fv = fftshift(fftfreq(len(eta),1./fs))\n #fv = fv[len(fv)/2:]\n \n #spectral analysis\n self.sn1 = self.espec1(self.n1)\n self.sn2 = self.espec1(self.n2)\n self.sn3 = self.espec1(self.n3)\n self.sn12 = self.espec2(self.n1,self.n2)\n self.sn13 = self.espec2(self.n1,self.n3)\n self.sn23 = self.espec2(self.n2,self.n3)\n \n #delta freq\n self.df = self.f[3] - self.f[2]\n\n #calculo do numero de onda\n #self.wavenumber()\n #k = numeronda(h,f,len(f))\n #k = np.array(k)\n\n #calculo dos coeficientes de fourier - NDBC 96_01 e Steele (1992)\n c = self.sn2[:,1] + self.sn3[:,1]\n cc = np.sqrt(self.sn1[:,1] * (c))\n \n self.a1 = self.sn12[:,3] / cc\n self.b1 = self.sn13[:,3] / cc\n \n self.a2 = (self.sn2[:,1] - self.sn3[:,1]) / c\n self.b2 = 2 * self.sn12[:,2] / c\n \n #calcula direcao de onda\n #mean direction\n self.dire1 = np.array([np.angle(np.complex(self.b1[i],self.a1[i]),deg=True) for i in range(len(self.a1))])\n \n #principal direction\n self.dire2 = 0.5 * np.array([np.angle(np.complex(self.b2[i],self.a2[i]),deg=True) for i in range(len(self.a2))])\n \n #condicao para valores maiores que 360 e menores que 0\n self.dire1[np.where(self.dire1 < 0)] = self.dire1[np.where(self.dire1 < 0)] + 360\n self.dire1[np.where(self.dire1 > 360)] = self.dire1[np.where(self.dire1 > 360)] - 360\n self.dire2[np.where(self.dire2 < 0)] = self.dire2[np.where(self.dire2 < 0)] + 360\n self.dire2[np.where(self.dire2 > 360)] = self.dire2[np.where(self.dire2 > 360)] - 360\n \n #acha o indice da frequencia de pico\n ind = np.where(self.sn1[:,1] == np.max(self.sn1[:,1]))[0]\n \n #periodo de pico\n self.tp = (1. / self.f[ind])[0]\n \n #momento espectral de ordem zero total - m0\n self.m0 = np.sum(self.sn1[:,1]) * self.df\n \n #calculo da altura significativa\n self.hm0 = 4.01 * np.sqrt(self.m0)\n \n #direcao do periodo de pico\n self.dp = self.dire1[ind][0]\n \n #Espalhamento direcional\n #Formula do sigma1 do livro Tucker&Pitt(2001) \"Waves in Ocean Engineering\" pags 196-198\n c1 = np.sqrt(self.a1 ** 2 + self.b1 ** 2)\n c2 = np.sqrt(self.a2 ** 2 + self.b2 ** 2)\n \n s1 = c1 / (1-c1)\n s2 = (1 + 3 * c2 + np.sqrt(1 + 14 * c2 + c2 ** 2)) / (2 * (1 - c2))\n \n self.sigma1 = np.sqrt(2 - 2 * c1) * 180 / np.pi\n self.sigma2 = np.sqrt((1 - c2) / 2) * 180 / np.pi\n \n self.sigma1p = np.real(self.sigma1[ind])[0]\n self.sigma2p = np.real(self.sigma2[ind])[0]\n \n # pondaf = np.array([hm0, tp, dp, sigma1p, sigma2p])\n \n #hm0, tp, dp, sigma1, sigma2, sigma1p, sigma2p, f, df, k, sn, snx, sny, snn, snnx, snny, snxny, snxnx, snyny, a1, b1, a2, b2, dire1, dire2\n #return hm0, tp, dp, sigma1, sigma2, sigma1p, sigma2p, f, df, k, sn, snx, sny, snn, snnx, snny, snxny, snxnx, snyny, a1, b1, a2, b2, dire1, dire2","def freq2den(freq):\n\n return freq * freq * k_2","def acor_fn(x):\n n = len(x)\n f = np.fft.fft(x-np.mean(x), n=2*n)\n acf = np.fft.ifft(f * np.conjugate(f))[:n].real\n return acf / acf[0]","def acor_fn(x):\n n = len(x)\n f = np.fft.fft(x-np.mean(x), n=2*n)\n acf = np.fft.ifft(f * np.conjugate(f))[:n].real\n return acf / acf[0]","def fourier(data, temp_freq, axis, output = 'amplitude'):\n\t\t\n\t\n\t# take largest possible multiple of F1 from PSTH.\n\t# Generate freq and fft\n\t# generate amplitude\n\t# return amplitude, F0, F1 and F2 values","def one_transition_spectrum_ld(self,tr):\n \n\n ta = tr[\"ta\"] # TimeAxis\n ld = tr[\"ld\"] # linear dichroism strength\n om = tr[\"om\"] # frequency - rwa\n gg = tr[\"gg\"] # natural broadening (constant or time dependent)\n fwhm = tr[\"fwhm\"] # Additional gaussian broadening of the spectra\n sgm = fwhm/(2*numpy.sqrt(2*numpy.log(2)))\n \n if self.system._has_system_bath_coupling:\n# ct = tr[\"ct\"] # correlation function\n \n # convert correlation function to lineshape function\n #gt = self._c2g(ta,ct.data)\n gt = tr[\"gt\"]\n # calculate time dependent response\n at = numpy.exp(-gt -1j*om*ta.data)\n else:\n # calculate time dependent response\n at = numpy.exp(-1j*om*ta.data) \n \n \n if len(gg) == 1:\n gam = gg[0]\n rt = numpy.exp(gam*ta.data)\n at *= rt\n #print(\"Constant: \", rt[20], len(at))\n else:\n rt = numpy.exp((gg)*ta.data) \n at *= rt\n #print(\"Time dependent: len = \", rt[20], len(rt))\n \n if fwhm!=0.0:\n gauss = numpy.exp(-2*(numpy.pi**2)*(sgm**2)*(ta.data**2))\n at *= gauss\n \n # Fourier transform the result\n ft = ld*numpy.fft.hfft(at)*ta.step\n ft = numpy.fft.fftshift(ft)\n # invert the order because hfft is a transform with -i\n ft = numpy.flipud(ft) \n # cut the center of the spectrum\n Nt = ta.length #len(ta.data) \n return ft[Nt//2:Nt+Nt//2]","def spectral_brightness(data, fft_data):\n spec = np.abs(fft_data)\n weight_vec = np.log(np.linspace(1, 100, len(fft_data)))\n weight_vec = np.pi*weight_vec/weight_vec[-1]\n weight = np.cos(weight_vec)/2 + 0.5\n low_spec_sum = sum(spec*weight)\n high_spec_sum = sum(spec*(1-weight))\n if low_spec_sum == 0:\n return 1 # attention: if signal is a sine at fs/2 this is also hit\n return high_spec_sum/low_spec_sum","def rfft2d_freqs(h, w):\n fy = np.fft.fftfreq(h)[:, None]\n fx = np.fft.fftfreq(w)\n return np.sqrt(fx * fx + fy * fy)","def _fftfreq(self, n):\r\n val = 1.0 / n\r\n N = floor((n - 1) / 2) + 1\r\n results = [i for i in range(0, int(N))]\r\n p1 = [i for i in range(0, int(n))]\r\n for k in range(0, int(N)):\r\n results[k] = k * val\r\n for j in range(0, int(n)):\r\n results[j] = -floor(n / 2) - (N - j) * val\r\n return results","def FeatureExtraction(ppg, accx, accy, accz):\n\n fs = 125\n n = len(ppg) * 4\n # applying fast Fourier transform\n freqs = np.fft.rfftfreq(n, 1/fs)\n fft = np.abs(np.fft.rfft(ppg,n))\n fft[freqs <= 40/60.0] = 0.0\n fft[freqs >= 240/60.0] = 0.0\n \n ## calculating L2 norm\n acc_mag = np.sqrt(accx**2 + accy**2 + accz**2)\n acc_fft = np.abs(np.fft.rfft(acc_mag, n))\n acc_fft[freqs <= 40/60.0] = 0.0\n acc_fft[freqs >= 240/60.0] = 0.0\n \n ppg_feature = freqs[np.argmax(fft)]\n acc_feature = freqs[np.argmax(acc_fft)]\n \n return (np.array([ppg_feature, acc_feature]), ppg, accx, accy, accz)","def _cutoff(xdata, ydata, btype, fs, ff):\r\n try:\r\n# print ff\r\n if ff != None:\r\n nPts = int(1./(((xdata.max()-xdata.min())/xdata.shape[0])*(ff/10.)))\r\n else:\r\n nPts = 0\r\n if nPts%2 == 0:\r\n nPts = nPts + 1\r\n if nPts < xdata.shape[0]:\r\n nPts = xdata.shape[0]\r\n# print nPts\r\n window = np.hanning(ydata.shape[0])\r\n freq = FourierFrequency(xdata, nPts)\r\n index = np.argsort(freq)\r\n tdf = FourierTransform(ydata*window, nPts)\r\n tdf = abs(tdf)\r\n pp = _maxima(tdf[index], freq[index], lookahead = 1)\r\n# mm = _minima(tdf[index], freq[index], lookahead=1)\r\n pp, hh = np.array(np.array(pp).T[0]), np.array(np.array(pp).T[1])\r\n# mm = np.array(np.array(mm).T[0])#, np.array(np.array(mm).T[1])\r\n ind = np.where(pp == min(abs(pp)))[0][0]\r\n ind2 = np.where(hh == max(hh[(ind+1):]))[0][0]\r\n for u, i in enumerate(freq):\r\n if i > abs(pp[ind2])*1.5 or i < -abs(pp[ind2])*1.5 or (i < abs(pp[ind2])/2. and i > -abs(pp[ind2])/2.) or (tdf[u] > hh[ind2]*1.05): #(abs(i) < abs(mm[indmin])) or \r\n tdf[u] = 0.\r\n def lor2(x, A0, x0, gamma0):\r\n return A0*(1/np.pi)*(gamma0/2)/((x-x0)**2+(gamma0/2)**2)+A0*(1/np.pi)*(gamma0/2)/((x+x0)**2+(gamma0/2)**2)\r\n lmod2 = lmf.Model(lor2)\r\n lmod2.make_params()\r\n lmod2.set_param_hint('A0', value=max(tdf), min=max(tdf)/1000.)\r\n lmod2.set_param_hint('x0', value=abs(pp[ind2]), min=0.)\r\n lmod2.set_param_hint('gamma0', value=1., min=0.)\r\n result2 = lmod2.fit(tdf[index], x=freq[index])\r\n# print result2.values.get('x0'), result2.values.get('gamma0')\r\n if btype=='high':\r\n if result2.values.get('x0')-result2.values.get('gamma0') > 0.:\r\n# print \"frequency: \", result2.values.get('x0')-result2.values.get('gamma0')\r\n if hh[ind2] != max(hh[(ind+1):]):\r\n print \"False\", \" maximum\", \"\\n\", \"\\n\", \"\\n\"\r\n return result2.values.get('x0')-result2.values.get('gamma0')\r\n else:\r\n# print \"failed: 0\"\r\n return 0.\r\n elif btype=='low':\r\n return result2.values.get('x0')+result2.values.get('gamma0')\r\n except Exception:\r\n pass\r\n finally:\r\n pass","def _frequency_2_real(self, copy=False):\n Fkernel = self._Fkernel\n if copy:\n Fkernel = self._Fkernel.copy()\n return np.fft.fftshift(self.basis._ifftn(Fkernel),\n axes=self.basis._axes)","def rangerate_from_freq(freq,Fc):\n # print(f'freq {freq} Fc {Fc}')\n dopp_at_IF = freq - Fc\n return dopp_at_IF*scipy.constants.speed_of_light/Fc","def fft(y, Fs, detrend='constant', hann=True, cons=True, debug=False):\n \n # Copy input array\n y = np.array(y)\n\n # Set variables\n n = y.size\n T = n/Fs\n\n # Check if conservative output is desired\n if cons:\n Fmax = Fs/2.56\n else:\n Fmax = Fs/2.0\n\n # Get number of lines\n LOR = int(T*Fmax)\n\n # Remove mean if desired\n if detrend != 'none':\n y = scipy_detrend(y, type=detrend)\n\n # Apply hanning window\n if hann is True:\n y = np.hanning(y.size)*y\n\n # Perform DFT\n Y = rawfft(y)\n df = 1.0/T\n return np.abs(Y[0:LOR])*2.0/n, df","def totalInfilHorton1time(f0, fc, k, t):\n numerator = (f0 - fc)*(1 - np.exp(-k*t))\n Ft = (fc*t) + (numerator/k)\n return Ft","def get_cycle(tas,period=12,return_complex=False):\n L = len(tas)\n freqs = np.fft.fftfreq(L)\n closest = np.abs(freqs-1./period)\n# i = np.where(freqs == 1./period)[0]\n i = np.argmin(closest)\n #print 1/freqs[i]\n tas_fft = np.fft.fft(tas)/L\n R = tas_fft.real\n Im = tas_fft.imag\n if return_complex:\n return R[i],Im[i]\n else:\n mag = 2*np.sqrt(R**2+Im**2)\n phase = np.arctan2(Im,R)\n return mag[i],phase[i]","def gga_freq_abs(x, sample_rate, freq):\n # TODO: This is slow. Any way to improve it?\n lx = _BLOCK_SIZE\n pik_term = 2 * _PI * freq / sample_rate\n cos_pik_term = tf.cos(pik_term)\n cos_pik_term2 = 2 * cos_pik_term\n\n # TODO: Maybe if we make these states into proper variables and assign to them,\n # we will use less memory.\n # Use tf.zeros because zeros_initializer doesn't seem to work in tf 1.0.\n\n # number of iterations is (by one) less than the length of signal\n # Pipeline the first two iterations.\n s1 = tf.tile(x[:, 0, None], (1, _NUM_BANDS))\n s0 = x[:, 1, None] + cos_pik_term2 * s1\n s2 = s1\n s1 = s0\n\n def cond(ind, *_):\n return ind < lx - 1\n\n def body(ind, s):\n s1 = s[0]\n s2 = s[1]\n s0 = x[:, ind, None] + cos_pik_term2 * s1 - s2\n return (ind + 1, (s0, s1))\n\n _, s = tf.while_loop(\n cond,\n body,\n loop_vars=(tf.constant(2), (s1, s2)),\n parallel_iterations=1)\n s1 = s[0]\n s2 = s[1]\n\n s0 = x[:, lx - 1, None] + cos_pik_term2 * s1 - s2\n\n # TODO: Figure out why this doesn't work.\n # | s0 - s1 exp(-ip) |\n # | s0 - s1 cos(p) + i s1 sin(p)) |\n # sqrt((s0 - s1 cos(p))^2 + (s1 sin(p))^2)\n # sqrt(s0^2 - 2 s0 s1 cos(p) + s1^2 cos^2(p) + s1^2 sin^2(p))\n # sqrt(s0^2 + s1^2 - 2 s0 s1 cos(p))\n\n # y = stable_sqrt(s0**2 + s1**2 - s0*s1*cos_pik_term2)\n y = stable_sqrt((s0 - s1*cos_pik_term)**2 + (s1 * tf.sin(pik_term))**2)\n return y","def fft2(a, shift_in=False, shift_out=False):\n s = a.shape\n if len(s) != 2:\n raise GalSimValueError(\"Input array must be 2D.\",s)\n M, N = s\n Mo2 = M // 2\n No2 = N // 2\n\n if M != Mo2*2 or N != No2*2:\n raise GalSimValueError(\"Input array must have even sizes.\",s)\n\n if a.dtype.kind == 'c':\n a = a.astype(np.complex128, copy=False)\n xim = ImageCD(a, xmin = -No2, ymin = -Mo2)\n kim = ImageCD(BoundsI(-No2,No2-1,-Mo2,Mo2-1))\n with convert_cpp_errors():\n _galsim.cfft(xim._image, kim._image, False, shift_in, shift_out)\n kar = kim.array\n else:\n a = a.astype(np.float64, copy=False)\n xim = ImageD(a, xmin = -No2, ymin = -Mo2)\n\n # This works, but it's a bit slower.\n #kim = ImageCD(BoundsI(-No2,No2-1,-Mo2,Mo2-1))\n #_galsim.cfft(xim._image, kim._image, False, shift_in, shift_out)\n #kar = kim.array\n\n # Faster to start with rfft2 version\n rkim = ImageCD(BoundsI(0,No2,-Mo2,Mo2-1))\n with convert_cpp_errors():\n _galsim.rfft(xim._image, rkim._image, shift_in, shift_out)\n # This only returns kx >= 0. Fill out the full image.\n kar = np.empty( (M,N), dtype=np.complex128)\n rkar = rkim.array\n if shift_out:\n kar[:,No2:N] = rkar[:,0:No2]\n kar[0,0:No2] = rkar[0,No2:0:-1].conjugate()\n kar[1:Mo2,0:No2] = rkar[M-1:Mo2:-1,No2:0:-1].conjugate()\n kar[Mo2:M,0:No2] = rkar[Mo2:0:-1,No2:0:-1].conjugate()\n else:\n kar[:,0:No2] = rkar[:,0:No2]\n kar[0,No2:N] = rkar[0,No2:0:-1].conjugate()\n kar[1:M,No2:N] = rkar[M-1:0:-1,No2:0:-1].conjugate()\n return kar","def lowpass1(y, dt, fc=3) :\r\n tau=1/(2*np.pi*fc)\r\n alpha=dt/(tau+dt)\r\n y_filt=np.zeros(y.shape)\r\n y_filt[0]=y[0]\r\n for i in np.arange(1,len(y)):\r\n y_filt[i]=alpha*y[i] + (1-alpha)*y_filt[i-1]\r\n return y_filt","def quantify_cf(lags, cf, plot=False):\n\n # identify the peak magnitude\n abs_cf = np.abs(cf)\n peak_magnitude = abs_cf.max()\n\n # identify the peak delay\n imax = abs_cf.argmax()\n peak_delay = lags[imax]\n\n # compute the area under the curve\n dt = np.diff(lags).max()\n cf_width = abs_cf.sum()*dt\n\n # compute the skewdness\n p = abs_cf / abs_cf.sum()\n mean = np.sum(lags*p)\n std = np.sqrt(np.sum(p*(abs_cf - mean)**2))\n skew = np.sum(p*(abs_cf - mean)**3) / std**3\n\n # compute the left and right areas under the absolute curve\n max_width = abs_cf[lags != 0].sum()*dt\n right_width = abs_cf[lags > 0].sum()*dt\n left_width = abs_cf[lags < 0].sum()*dt\n\n # create a measure of anisotropy from the AUCs\n anisotropy = (right_width - left_width) / max_width\n \n li = lags < 0\n ri = lags > 0\n\n # determine the mean lag time, i.e. the lag \"center of mass\". do this for each half\n cfl = np.abs(cf[li]) / np.abs(cf[li]).sum()\n left_lag = np.sum(cfl*lags[li])\n cfr = np.abs(cf[ri]) / np.abs(cf[ri]).sum()\n right_lag = np.sum(cfr*lags[ri])\n\n # integrate the right and left sides independently\n dl = np.diff(lags).max()\n left_sum = cf[li].sum()*dl\n right_sum = cf[ri].sum()*dl\n\n # take the correlation coefficient at zero lag\n cc = cf[lags == 0][0]\n\n if plot:\n plt.figure()\n plt.axhline(0, c='k')\n plt.plot(lags, cf, 'r-', linewidth=3)\n plt.axvline(peak_delay, c='g', alpha=0.75)\n plt.ylim(-1, 1)\n plt.axis('tight')\n t = 'width=%0.1f, mean=%0.1f, std=%0.1f, skew=%0.1f, anisotropy=%0.2f' % (cf_width, mean, std, skew, anisotropy)\n plt.title(t)\n plt.show()\n\n return {'magnitude':peak_magnitude, 'delay':peak_delay, 'width':cf_width,\n 'mean':mean, 'std':std, 'skew':skew, 'anisotropy':anisotropy,\n 'left_lag':left_lag, 'right_lag':right_lag, 'left_sum':left_sum, 'right_sum':right_sum, 'cc':cc}","def calcfeat_delta_delta(signal, samplerate=16000, win_length=0.025, win_step=0.01, filters_num=26, NFFT=512,\n\t\t\t\t\t\t low_freq=0, high_freq=None, pre_emphasis_coeff=0.97, cep_lifter=22, appendEnergy=True,\n\t\t\t\t\t\t mode='mfcc', feature_len=13):\n\tfilters_num = 2 * feature_len\n\tfeat = calcMFCC(signal, samplerate, win_length, win_step, feature_len, filters_num, NFFT, low_freq, high_freq,\n\t\t\t\t\tpre_emphasis_coeff, cep_lifter, appendEnergy, mode=mode) # 首先获取13个一般MFCC系数\n\tfeat_delta = delta(feat)\n\tfeat_delta_delta = delta(feat_delta)\n\n\tresult = numpy.concatenate((feat, feat_delta, feat_delta_delta), axis=1)\n\treturn result","def forward_fft(self, array_in):\r\n # Find side length, as real array may or may not be doubled for\r\n # aliasing control\r\n side = array_in.shape[0]\r\n div_side = 1.0/side**2\r\n\r\n out = np.fft.fft2(self.sign_mat[0:side, 0:side]*array_in)*div_side\r\n return out","def _real_2_frequency(self, kernel):\n return self.basis._fftn(np.fft.ifftshift(kernel,\n axes=self.basis._axes))","def increaseFreq(self, desHz):\n from scipy.interpolate import interp1d\n import time\n from numpy import linspace, floor\n from decimal import getcontext, Decimal\n\n if desHz > 1000: # set max freq here \n raise ValueError('Max Frequency is 1000 (3 decimal places)')\n now = time.asctime(time.localtime(time.time())) \n stamp = ''.join(['%% The following created by alog_manip.MOOSalog.MOOSalog.increaseFreq\\n%% ', now])\n increase_msg = ''.join(['%% Resultant Frequency: ',str(desHz),' Hz'])\n # hiHz = {}\n self.outData = {} # erase pre-existing dict\n self.outData['header'] = [stamp,increase_msg,'%%%%'] + self.srcData['header']\n\n def create_msgs():\n \"\"\" Puts interpolated data into dict outData\n Primary interpolation function for increaseFreq\n Consider using uniaxial spline --> would have one function for all of dictionary dat\n \"\"\"\n getcontext().prec = 3 # will round to 3 decimal places\n orig_times = sorted(dat)\n for n in range(len(dat) - 1):\n linfun = interp1d([orig_times[n], orig_times[n+1]], \\\n [dat[orig_times[n]], dat[orig_times[n+1]]])\n dt = orig_times[n+1] - orig_times[n] # current\n freq = 1/dt # current\n if dt < (1/desHz):\n print('found instance where Freq already at/above desired Freq')\n else:\n new_dt = dt*freq/desHz\n new_times = linspace(orig_times[n],orig_times[n+1],floor(dt/new_dt))\n # print(new_times)\n new_values = linfun(new_times)\n # rounded_values = [float(Decimal(\"%.3f\" % e)) for e in new_values]\n rounded_times = [float(Decimal(\"%.3f\" % e)) for e in new_times]\n for m in range(len(rounded_times)):\n # this_time = int(new_times[m]*100000)/100000 # 5 decimal places in timstamp\n self.outData[sens][meas][rounded_times[m]] = new_values[m]\n\n ## go thru and pull out dictionaries {time: value} then send to interpolation func\n for sens in self.srcData:\n if sens is not 'header':\n self.outData[sens] = {}\n for meas in self.srcData[sens]:\n self.outData[sens][meas] = {}\n dat = self.srcData[sens][meas]\n if len(dat) == 1:\n self.outData[sens][meas] = dat # only 1 data point, no interp\n else:\n create_msgs()","def getFourierPower(data, freq=None, ax=1, t=None):\n\n if t==None:\n t = numpy.linspace(0.0,1.0,64)\n Fs = 1.0/t[1] \n L = t.shape[0]\n ft = numpy.fft.fft(data,axis=ax)\n freqs = numpy.fft.fftfreq(64,1.0/64.0)\n ftAmp = abs(ft)/data.shape[1]*2\n ftPhase = numpy.arctan2(ft.real, ft.imag)\n if freq==None:\n ii = numpy.argmax(abs(ft[:,1:])**2.0,axis=1)\n ii += 1\n else:\n fr = numpy.asarray([freq])\n fr = fr.flatten()\n ii = numpy.ones(fr.shape)\n for kk in range(0,fr.shape[0]):\n ii[kk] = numpy.argmin(abs(freqs-fr[kk]))\n \n jj = numpy.arange(0,ftAmp.shape[0])\n amp = ftAmp[jj,ii.astype('int')]\n phase = ftPhase[jj,ii.astype('int')]\n else:\n Fs = 1.0/t[1]\n L = t.shape[0]\n ft = numpy.fft.fft(data,n=NFFT,axis=ax)[1:]/L#skip the DC\n ftAmp = abs(ft)/len(t)*2\n ftPhase = numpy.arctan2(ft.real, ft.imag)\n if freq==None:\n ii = argmax(abs(ft)**2.0,0)\n else: \n ii = freq-1\n \n amp = ftAmp[:,ii]\n phase = ftPhase[:,ii]\n return amp, phase, ii","def temporal_filter(fc, L, srt, PASS = [2,3]):\n if issubclass(type(fc), str):\n fc = float(fc)\n t = np.arange(L).astype(np.float32)/srt\n k = t*fc\n h = np.sin(2*np.pi*k) * k**2 * np.exp(-3.5*k) * fc\n\n h = h-np.mean(h)\n H0 = np.fft.fft(h, n=2*L)\n A = np.angle(H0[0:L])\n H = np.abs(H0[0:L])\n maxi = np.argmax(H)\n H = H / (H[maxi] or 1)\n\n # passband\n if PASS[0] == 1:\n #low pass\n H[0:maxi] = 1\n elif PASS[0] == PASS[1]:\n #high pass\n H[maxi+1:L] = 1\n\n H = H * np.exp(1j*A)\n return H","def wvd(fx,nh=2**8-1,tstep=2**5,nfbins=2**10,df=1.0):\r\n \r\n if type(fx) is list:\r\n fx=np.array(fx)\r\n try:\r\n fn,fm=fx.shape\r\n if fm>fn:\r\n fm,fn=fx.shape\r\n except ValueError:\r\n fn=len(fx)\r\n fm=1\r\n if fm>1:\r\n fn=fn[0]\r\n print 'computing cross spectra'\r\n #compute the analytic signal of function f and dctrend\r\n fa=sps.hilbert(dctrend(fx[0]))\r\n fb=sps.hilbert(dctrend(fx[1]))\r\n fa=fa.reshape(fn)\r\n fb=fb.reshape(fn)\r\n else:\r\n #compute the analytic signal of function f and dctrend\r\n fa=sps.hilbert(dctrend(fx))\r\n fa=fa.reshape(fn)\r\n fb=fa.copy()\r\n \r\n #sampling period\r\n df=float(df)\r\n dt=1./df\r\n tau=(nh-1)/2\r\n \r\n #create a time array such that the first point is centered on time window\r\n tlst=np.arange(start=0,stop=fn-1,step=tstep,dtype='int')\r\n \r\n #create an empty array to put the tf in \r\n tfarray=np.zeros((nfbins,len(tlst)),dtype='complex128')\r\n \r\n #create a frequency array with just positive frequencies\r\n flst=np.fft.fftfreq(nfbins,dt)[0:nfbins/2]\r\n \r\n #calculate pseudo WV\r\n for point,nn in enumerate(tlst):\r\n #calculate the smallest timeshift possible\r\n taun=min(nn,tau,fn-nn-1)\r\n #make a timeshift array\r\n taulst=np.arange(start=-taun,stop=taun+1,step=1,dtype='int')\r\n #calculate rectangular windowed correlation function of analytic signal\r\n Rnn=4*np.conjugate(fa[nn-taulst])*fb[nn+taulst] \r\n #calculate fft of windowed correlation function\r\n FTRnn=np.fft.fft(padzeros(Rnn,npad=nfbins))\r\n #put into tfarray\r\n tfarray[:,point]=FTRnn[::-1]\r\n \r\n #normalize\r\n tfarray=tfarray/nh\r\n \r\n return tfarray,tlst,flst","def fft(signal):\r\n if signal.size == 1:\r\n return signal\r\n\r\n even_part = fft(signal[::2]) # Only grab even elements\r\n odd_part = fft(signal[1::2]) # Only grab odd elements\r\n\r\n factor = np.exp(-2j * np.pi * np.arange(signal.size) / signal.size)\r\n return np.concatenate([even_part + factor[:int(signal.size / 2)] * odd_part,\r\n even_part + factor[int(signal.size / 2):] * odd_part])","def fourierCV(img):\n\tgray = grayscale(img)\n\tdft = cv2.dft(np.float32(gray), flags = cv2.DFT_COMPLEX_OUTPUT)\n\tdft_shift = np.fft.fftshift(dft)\n\tmagnitude_spectrum = 20*np.log(cv2.magnitude(dft_shift[:,:,0], dft_shift[:,:,1]))\n return magnitude_spectrum","def signal_spectral(signal, FS):\n # check inputs\n if signal is None or signal == []:\n print(\"Signal is empty.\")\n\n # ensure numpy\n signal = np.array(signal)\n # f, spectrum = st.welch_spectrum(signal, sampling_rate=FS)\n spectrum = np.fft.fft(signal, FS)[:len(signal)//2]\n f = np.fft.fftfreq(len(signal))[:len(signal)//2]\n\n cum_ff = np.cumsum(spectrum)\n spect_diff = np.diff(spectrum)\n #energy, _ = st.signal_energy(spectrum, f)[:]\n\n args, names = [], []\n\n if dict['spectral_maxpeaks']['use'] == 'yes':\n # spectral_maxpeaks\n try:\n spectral_maxpeaks = np.sum([1 for nd in range(len(spect_diff[:-1])) if (spect_diff[nd+1]<0 and spect_diff[nd]>0)])\n except:\n spectral_maxpeaks = None\n args += [spectral_maxpeaks]\n names += ['spectral_maxpeaks']\n\n # if dict['spect_var']['use'] == 'yes':\n # # spect_variation\n # try:\n # spect_var = np.convolve(energy)\n # spect_var /= np.max(np.abs(spect_var))\n # except:\n # spect_var = None\n # args += [spect_var]\n # names += ['spect_var']\n\n if dict['curve_distance']['use'] == 'yes':\n # curve_distance\n try:\n curve_distance = np.sum(np.linspace(0, cum_ff[-1], len(cum_ff)) - cum_ff)\n except:\n curve_distance = None\n args += [curve_distance]\n names += ['curve_distance']\n\n if dict['spectral_roll_off']['use'] == 'yes':\n # spectral_roll_off\n try:\n spectral_roll_off = spectral_roll(f, spectrum, cum_ff, 0.95)[0]\n except:\n spectral_roll_off = None\n args += [spectral_roll_off]\n names += ['spectral_roll_off']\n\n if dict['spectral_roll_on']['use'] == 'yes':\n # spectral_roll_on\n try:\n spectral_roll_on = spectral_roll(f, spectrum, cum_ff, 0.05)[0]\n except:\n spectral_roll_on = None\n args += [spectral_roll_on]\n names += ['spectral_roll_on']\n\n if dict['spectral_dec']['use'] == 'yes':\n # spectral_decrease\n try:\n spectral_dec = (1/np.sum(spectrum)) * np.sum((spectrum[:] - spectrum[1])/np.linspace(1, len(spectrum), len(spectrum),1))\n except:\n spectral_dec = None\n args += [spectral_dec]\n names += ['spectral_dec']\n\n if dict['spectral_slope']['use'] == 'yes':\n # spectral_slope\n sum_f = np.sum(f)\n len_f = len(f)\n try:\n spectral_slope = (len_f * np.dot(f, spectrum) - sum_f * np.sum(spectrum)) / (len_f * np.dot(f, f) - sum_f ** 2)\n except:\n spectral_slope = None\n args += [spectral_slope]\n names += ['spectral_slope']\n\n sum_spectrum = np.sum(spectrum)\n norm_spectrum = spectrum / sum_spectrum\n # spectral_centroid\n try:\n spectral_centroid = np.dot(f, norm_spectrum)\n except:\n spectral_centroid = None\n\n # spectral_spread\n try:\n spectral_spread = np.dot(((f - spectral_centroid) ** 2), norm_spectrum)\n except:\n spectral_spread = None\n\n if dict['spectral_spread']['use'] == 'yes':\n args += [spectral_spread]\n names += ['spectral_spread']\n\n if dict['spectral_kurtosis']['use'] == 'yes':\n # spectral_kurtosis\n try:\n spectral_kurtosis = np.sum(((f - spectral_centroid) ** 4) * norm_spectrum) / (spectral_spread**2)\n except:\n spectral_kurtosis = None\n args += [spectral_kurtosis]\n names += ['spectral_kurtosis']\n\n if dict['spectral_skewness']['use'] == 'yes':\n # spectral_skewness\n try:\n spectral_skewness = np.sum(((f - spectral_centroid) ** 3) * norm_spectrum) / (spectral_spread ** (3 / 2))\n except:\n spectral_skewness = None\n args += [spectral_skewness]\n names += ['spectral_skewness']\n\n if dict['max_frequency']['use'] == 'yes':\n # max_frequency\n try:\n max_frequency = f[np.where(cum_ff > cum_ff[-1]*0.95)[0][0]]\n except:\n max_frequency = None\n args += [max_frequency]\n names += ['max_frequency']\n\n if dict['fundamental_frequency']['use'] == 'yes':\n # fundamental_frequency\n try:\n fundamental_frequency = f[np.where(cum_ff > cum_ff[-1]*0.5)[0][0]]\n except:\n fundamental_frequency = None\n args += [fundamental_frequency]\n names += ['fundamental_frequency']\n\n # if dict['max_power_spectrum']['use'] == 'yes':\n # # max_power_spectrum\n # try:\n # max_power_spectrum = np.max(spectrum)\n # except:\n # max_power_spectrum = None\n # args += max_power_spectrum\n # names += 'max_power_spectrum'\n\n # if dict['mean_power_spectrum']['use'] == 'yes':\n # # mean_power_spectrum\n # try:\n # mean_power_spectrum = np.mean(spectrum)\n # except:\n # mean_power_spectrum = None\n # args += mean_power_spectrum\n # names += 'mean_power_spectrum'\n #\n # if dict['spectral_skewness']['use'] == 'yes':\n # try:\n # spectral_skewness = np.mean(spectrum)\n # except:\n # spectral_skewness = None\n # args += spectral_skewness\n # names += 'spectral_skewness'\n #\n # if dict['spectral_kurtosis']['use'] == 'yes':\n # try:\n # spectral_kurtosis = np.mean(spectrum)\n # except:\n # spectral_kurtosis = None\n # args += spectral_kurtosis\n # names += 'spectral_kurtosis'\n\n # if dict['spectral_hist_']['use'] == 'yes':\n # # histogram\n # try:\n # _hist = list(np.histogram(spectrum, bins=int(np.sqrt(len(spectrum))), density=True)[0])\n # except:\n # if len(signal) > 1:\n # _hist = [None] * int(np.sqrt(len(signal)))\n # else:\n # _hist = [None]\n # args += [i for i in _hist]\n # names += ['spectral_hist_' + str(i) for i in range(len(_hist))]\n\n #return utils.ReturnTuple(tuple(args), tuple(names))\n return args, names","def sdct(signal, frame_length, frame_step, window=\"hamming\"):\n framed = librosa.util.frame(signal, frame_length, frame_step)\n if window is not None:\n window = librosa.filters.get_window(window, frame_length, fftbins=True).astype(\n signal.dtype\n )\n framed = framed * window[:, np.newaxis]\n return scipy.fft.dct(framed, norm=\"ortho\", axis=-2)","def freq_from_crossings(wfmtime, sig, fs):\n from scipy import signal\n import matplotlib.pyplot as plt\n\n # FILTER THE WAVEFORM WITH LOWPASS BUTTERWORTH FILTER\n # todo: revisit the wn calculation to be sure it works for multiple sampling rates\n wn = (2*math.pi*60)/fs #Wn is normalized from 0 to 1, where 1 is the Nyquist frequency, pi radians/sample\n b, a = signal.butter(4, wn, analog=False)\n sig_ff = signal.filtfilt(b, a, sig)\n\n #check the frequency response\n '''\n w, h = signal.freqs(b, a)\n plt.plot(w, 20 * np.log10(abs(h)))\n plt.xscale('log')\n plt.title('Butterworth filter frequency response')\n plt.xlabel('Frequency [radians / second]')\n plt.ylabel('Amplitude [dB]')\n plt.margins(0, 0.1)\n plt.grid(which='both', axis='both')\n plt.show()\n '''\n\n # Find the zero crossings of the filtered data\n # Linear interpolation to find truer zero crossings\n\n indices = find(logical_and(sig_ff[1:] >= 0., sig_ff[:-1] < 0.))\n crossings = [i - sig_ff[i] / (sig_ff[i+1] - sig_ff[i]) for i in indices] #interpolate\n cross_times = wfmtime[0] + np.array(crossings)/fs\n\n '''\n plt.plot(wfmtime, sig, color='red', label='Original')\n plt.plot(wfmtime, sig_ff, color='blue', label='filtered data')\n plt.plot(cross_times, np.zeros(len(cross_times)), 'ro', label='Zero Crossings')\n plt.legend()\n plt.grid(which='both', axis='both')\n plt.axis([0, 5/60, min(sig)/2, max(sig)/2])\n plt.show()\n '''\n\n time_steps = diff(crossings)\n avg_freq = fs / average(time_steps)\n freqs = [fs/time_steps[i] for i in xrange(0, len(cross_times)-1)] #interpolate\n freq_times = [(cross_times[i]+cross_times[i+1])/2 for i in xrange(0, len(freqs)-1)] #interpolate\n\n plt.plot(wfmtime, sig, color='red', label='Original')\n plt.plot(wfmtime, sig_ff, color='blue', label='Filtered data')\n plt.plot(freq_times, freqs[:-1], 'g', label='Frequency')\n plt.legend(loc=4)\n plt.grid(which='both', axis='both')\n plt.axis([0, freq_times[-1], 50, 61])\n plt.show()\n\n return avg_freq, freqs","def FFT(y, t):\n dt = t[2] - t[1]\n Fs = 1.0 / dt\n L = len(y)\n Y = fft(y, L) * dt # dt should mathematically be included in the result!\n #amp=abs(Y)/(L/2) #FFT single sided spectrum\n amp = abs(Y) #or simply take the amplitude only?\n T = L * dt #1/T=Fs/L\n freq = np.arange(0, Fs / 2, 1 / T) # list frequencies up to Nyquist frequency\n # resize result vectors to match their lengths\n if len(freq) < len(amp):\n amp = amp[0:len(freq)] # make both vectors the same size\n elif len(amp) < len(freq):\n freq = freq[0:len(amp)]\n return freq, amp","def autocorrelation(x):\n x = np.asarray(x)\n N = len(x)\n x = x-x.mean()\n s = fft.fft(x, N*2-1)\n result = np.real(fft.ifft(s * np.conjugate(s), N*2-1))\n result = result[:N]\n result /= result[0]\n return result","def calculate_magnitudes(data, frame_count, nb_channels):\n if nb_channels == 2: # Strip every other sample point to keep only one channel\n data = np.array(struct.unpack('{n}h'.format(n=nb_channels * frame_count), data))[::2]\n else:\n data = np.array(struct.unpack('{n}h'.format(n=nb_channels * frame_count), data))\n \n windowed_data = np.multiply(data, np.hanning(len(data)))\n \n # Calculate the Fourier Transform coefficients\n dft_array = cv2.dft(np.float32(windowed_data))\n\n # Return the power in each frequency\n magnitudes = np.add(np.sqrt((dft_array*dft_array).sum(axis=1)), 10)\n log_mag = np.log10(magnitudes)\n return log_mag","def __init__(self, wavefunctions, dt=1., threshold=1e-3, **kwargs):\n\n wavefunctions = np.array(wavefunctions, copy=True)\n\n # normalize the wavefunction over the first axis (basis)\n wavefunctions /= linalg.norm(wavefunctions, axis=1)[:, np.newaxis]\n\n # calculate the alternating sequence of signs for iFFT autocorrelation function\n k = np.arange(wavefunctions.shape[0])\n minus = (-1) ** k[:, np.newaxis]\n\n # energy axis (as prescribed by Method 1 for calculating Fourier transform\n energy_range = (k - k.size / 2) * np.pi / (0.5 * dt * k.size)\n\n # the windowed fft of the wave function with respect to the time axis\n wavefunctions_fft_w = fftpack.ifft(\n minus * wavefunctions * blackman(k.size)[:, np.newaxis],\n axis=0,\n overwrite_x=True\n )\n wavefunctions_fft_w *= minus\n\n\n weight = linalg.norm(wavefunctions_fft_w, axis=1)\n weight /= weight.max()\n\n # extract peaks in weight to get the eigen energies\n peaks, _ = find_peaks(weight, height=threshold, **kwargs)\n #peaks = np.nonzero(weight > threshold)\n\n # the eigenvalues of the Hamiltonian\n energies = energy_range[peaks]\n\n self.weight = weight\n self.energy_range = energy_range\n\n \"\"\"\n #############################################################################################\n\n\n # normalize the auto correlation function\n auto_corr_fft_w /= auto_corr_fft_w.max()\n\n # extract peaks in the auto correlation function to get the eigen energies\n peaks, _ = find_peaks(auto_corr_fft_w, height=threshold, **kwargs)\n\n # the eigenvalues of the Hamiltonian\n energies = energy_range[peaks]\n\n #############################################################################################\n\n # calculate the alternating sequence of signs for iFFT wavefunction\n minus = (-1) ** k[:, np.newaxis]\n\n wavefunctions_fft_w = fftpack.ifft(\n minus * wavefunctions * blackman(k.size)[:, np.newaxis],\n axis=0,\n overwrite_x=True\n )\n wavefunctions_fft_w *= minus\n \"\"\"\n\n # extract the eigenfunctions of the unknown hamiltonian\n eigenvects = wavefunctions_fft_w[peaks]\n\n # normalize the eigenfunctions\n eigenvects /= linalg.norm(eigenvects, axis=1)[:, np.newaxis]\n\n # remove the numerical noise by orthogonalizing the extracted basis\n # This is a numerically stable version of the Gramm Schmidt\n eigenvects, _ = linalg.qr(eigenvects.T, mode='economic', overwrite_a=True)\n eigenvects = eigenvects.T\n\n # saving the results of recovering\n self.energies = energies\n self.eigenvects = eigenvects\n\n # save the initial condition\n self.init_wavefunc = wavefunctions[0].copy()","def calc_sadiff(sig):\n\n return np.sum(abs(np.diff(sig)))","def fdsb(self, signal: np.ndarray, **kwargs) -> np.ndarray:\n\t\tdelays = kwargs.get(\"delays\", self.freq_delays)\n\t\tbatch_size = kwargs.get(\"batch_size\", 1)\n\n\t\tSignal = np.fft.fft(signal, axis=0)[:self.num_samples // 2,:,None,None]\n\n\t\tconv_signal = np.empty((self.num_samples // 2, delays.shape[1], \n\t\t\t\t\t\t\tdelays.shape[2] , delays.shape[3]))\n\n\t\t# For signals with many samples, a bigger batch size\n\t\t# can speed up the algorithm and prevent memory errors\n\t\tps = self.phi.shape[1]\n\t\tlength = int(np.ceil(ps/batch_size))\n\t\t\n\t\tfor b in range(batch_size):\n\t\t\tconv_signal[...,b*length:b*length+length] = (np.fft.ifft(\n\t\t\t\tSignal * delays[...,b*length:b*length+length], \n\t\t\t\taxis=0)).real\n\n\t\tsquared_conv = ((conv_signal.sum(1)) ** 2).sum(0)\n\n\t\treturn squared_conv","def in_freq(self):\n if self._in_freq is None:\n self._in_freq = np.fft.rfft(self._in_time)\n return self._in_freq","def source_adj_gsdf(gmdata_sim,gmdata_obs,IsolationFilter,num_pts,dt): \n t = np.arange(num_pts)*dt\n ts=np.flip(-t[1:], axis=0)\n lTime = np.concatenate((ts,t), axis=0)#Lag time \n \n #convolve the waveforms for the cross- and auto-correlagrams \n cross = np.correlate(IsolationFilter,gmdata_obs,'full')\n auto = np.correlate(IsolationFilter,gmdata_sim,'full') \n \n #GSDF Parameters \n w0=2*np.pi/(lTime[-1]) \n# wN=2*np.pi/(2*dt)\n# w(:,1)=-wN:w0:wN\n wf=w0*np.linspace(-int(num_pts/2),int(num_pts/2),num_pts) \n fi = [0.05, 0.075, 0.1]\n# fi = [0.02, 0.03, 0.04, 0.05]\n# fi = [0.05, 0.075, 0.1, 0.125, 0.15, 0.175, 0.2]\n Tw = 2/np.mean(fi) # Effective window\n# sw = 2*np.pi*0.72/Tw; # Sigma w ~ 0.2827433388230814\n sw=0.1 \n \n# #% A local maximum will be selected closest to 0-lag\n# I_O=np.argmax(cross)\n# I_S=np.argmax(auto) \n\n I_O, peaks_O = find_peaks(np.abs(hilbert(cross))/np.max(np.abs(hilbert(cross))), height=0.25)\n I_S, peaks_S = find_peaks(np.abs(hilbert(auto))/np.max(np.abs(hilbert(auto))), height=0.25)\n\n PkO = peaks_O.get(\"peak_heights\", \"\")\n PkS = peaks_S.get(\"peak_heights\", \"\")\n\n if (I_O==[] or I_S==[]):\n I_O=np.argmax(cross)\n I_S=np.argmax(auto)\n else:\n I_O_min = np.argmin(np.multiply((1+np.abs(lTime[I_O]))**2,np.abs(1-PkO)))\n I_O = I_O[I_O_min]\n\n I_S_min = np.argmin(np.multiply((1+np.abs(lTime[I_S]))**2,np.abs(1-PkS)))\n I_S = I_S[I_S_min]\n \n ##Windowing\n win1=np.exp(-(0.5*sw**2)*(lTime-lTime[I_O])**2)\n win2=np.exp(-(0.5*sw**2)*(lTime-lTime[I_S])**2) \n \n #\n WO = np.multiply(win1,cross)\n WS = np.multiply(win2,auto)\n WS = WS*np.max(WO)/np.max(WS) #Normalized window by amplitude\n #% Parameters for \"bootstraping\"\n InOR=np.argmax(WO)\n InSR=np.argmax(WS) \n \n #% Isolation filter FFT for perturbation kernel\n tff=np.conj(fftshift(fft(IsolationFilter)))*1/num_pts \n \n adj_sim_decompose = np.zeros((len(fi),num_pts))\n adj_sim_sum = np.zeros(num_pts)\n TauP_arr = np.zeros(len(fi)) \n \n ne = int(np.min([2/np.min(fi)/dt,num_pts/2])) #% Effective bandwidth for inversion\n \n for i in range(0,len(fi)): \n si = 0.1*fi[i]\n #Crosscorrelagram and Autocorrelagram filtering\n dO=computebandfftfilter_gauss(WO,dt,fi[i],si,lTime);\n dS=computebandfftfilter_gauss(WS,dt,fi[i],si,lTime); \n \n # % Check bootstraping\n InO=np.argmax(np.real(dO))\n InS=np.argmax(np.real(dS)) \n \n BS = 1; Cn = 0;\n while BS == 1 or Cn < 10:\n InO=int(InO)\n if (lTime[InO] < lTime[InOR]+0.51/fi[i]) and (lTime[InO] >= lTime[InOR]-0.51/fi[i]):\n BS = 0\n elif (lTime[InO] >= (lTime[InOR]+0.45/fi[i])):\n InO=InO-np.round(1/fi[i]/dt)\n elif (lTime[InO] < lTime[InOR]-0.45/fi[i]):\n InO=InO+np.round(1/fi[i]/dt)\n Cn = Cn+1\n \n BS = 1; Cn = 0;\n while BS == 1 or Cn < 10:\n InS=int(InS) \n if (lTime[InS] < lTime[InSR]+0.51/fi[i]) and (lTime[InS] >= lTime[InSR]-0.51/fi[i]):\n BS = 0\n elif (lTime[InS] >= (lTime[InSR]+0.45/fi[i])):\n InS=InS-np.round(1/fi[i]/dt)\n elif (lTime[InS] < lTime[InSR]-0.45/fi[i]):\n InS=InS+np.round(1/fi[i]/dt)\n Cn = Cn+1 \n\n # Five parameter Gaussian wavelet fitting \n Ao = np.max(envelope(np.real(dO))); Io = np.argmax(envelope(np.real(dO)));\n As = np.max(envelope(np.real(dS))); Is = np.argmax(envelope(np.real(dS))); \n ##Constrain the initial values \n # Parameters for curve_fit\n wi=2*np.pi*fi[i] \n \n try:\n GaO, params_covariance = curve_fit(Eqn, lTime[Io-ne-1:Io+ne], np.real(dO[Io-ne-1:Io+ne]))\n GaS, params_covariance = curve_fit(Eqn, lTime[Is-ne-1:Is+ne], np.real(dS[Is-ne-1:Is+ne])) \n except:\n GaO = [Ao, 2*np.pi*si, lTime[Io], 2*np.pi*fi[i], lTime[InO]]\n GaS = [As, 2*np.pi*si, lTime[Is], 2*np.pi*fi[i], lTime[InS]] \n\n# GaO, params_covariance = curve_fit(Eqn, lTime[Io-ne-1:Io+ne], np.real(dO[Io-ne-1:Io+ne]),bounds=(0,[Ao, 2*np.pi*si, lTime[Io], 2*np.pi*fi[i], lTime[InO]]))\n# GaS, params_covariance = curve_fit(Eqn, lTime[Is-ne-1:Is+ne], np.real(dS[Is-ne-1:Is+ne]),bounds=(0,[As, 2*np.pi*si, lTime[Is], 2*np.pi*fi[i], lTime[InS]])) \n \n# % Check fitting\n if ((GaO[0]/GaS[0]) > 10**5) or np.abs(GaO[4]-GaS[4]) > lTime[-1]/2:\n GaO = [Ao, 2*np.pi*si, lTime[Io], 2*np.pi*fi[i], lTime[InO]]\n GaS = [As, 2*np.pi*si, lTime[Is], 2*np.pi*fi[i], lTime[InS]] \n \n wP=((si**2)*wf+(sw**2)*wi)/(sw**2+si**2)\n wPP=((si**2)*wf-(sw**2)*wi)/(sw**2+si**2)\n siP=((si**2)*(sw**2)/(sw**2+si**2))**0.5 \n #Estimate waveform perturbation kernel (WPK)\n IW=(siP/(sw*GaS[0]))*np.multiply(np.exp(-0.5*(wf-2*np.pi*fi[i])**2/(sw**2+si**2)),np.divide(tff,wP))+\\\n (siP/(sw*GaS[0]))*np.exp(-0.5*(wf+2*np.pi*fi[i])**2/(sw**2+si**2))*tff/wPP\n \n IW[0:int(len(IW)/2)]=0*IW[0:int(len(IW)/2)]\n \n itff = ifft(fftshift(num_pts*IW)) \n \n #Save the GSDF measurements\n TauP_arr[i] = GaO[4]-GaS[4]; #% delta_P\n \n# Jp = np.real(itff)\n# Jp = np.imag(itff)\n Jp = -np.imag(itff) \n adj_sim_decompose[i,:] = np.flip(Jp,axis=0)*TauP_arr[i] \n \n #if i>0:\n adj_sim_sum = adj_sim_sum + adj_sim_decompose[i,:] \n \n return adj_sim_sum, TauP_arr"],"string":"[\n \"def get_freqs(sig, fft_size):\\n Lf = np.fft.fft(sig, fft_size)\\n Lc = Lf[0:fft_size//2]\\n La = np.abs(Lc[0:fft_size//2])\\n Lg = np.angle(Lc[0:fft_size//2])\\n return La, Lg\",\n \"def lagged_coherence(sig, f_range, fs, n_cycles=3, f_step=1, return_spectrum=False):\\n\\n # Identify Fourier components of interest\\n freqs = np.arange(f_range[0], f_range[1] + f_step, f_step)\\n\\n # Calculate lagged coherence for each frequency\\n lc = np.zeros(len(freqs))\\n for ind, freq in enumerate(freqs):\\n lc[ind] = _lagged_coherence_1freq(sig, freq, fs, n_cycles=n_cycles)\\n\\n # Return desired measure of lagged coherence\\n if return_spectrum:\\n return lc, freqs\\n else:\\n return np.mean(lc)\",\n \"def _ac_fft3 (self,xp,max_lag):\\n '''takes xp'''\\n f = np.fft.fft(self.xp)\\n p = np.array([np.real(v)**2+np.imag(v)**2 for v in f])\\n pi = np.fft.ifft(p)\\n corr = np.real(pi)[:self.n]/np.sum(self.xp**2)\\n return corr[:max_lag]\",\n \"def _prevalent_freq(self, data, framerate):\\n if not(np.std(data) == 0):\\n data = (data-np.mean(data))/np.std(data)\\n transform = np.fft.rfft(data)\\n freqs = np.fft.rfftfreq(len(data), 1.0/framerate) \\n freqs = 60*freqs\\n band_pass = np.where((freqs < 40) | (freqs > 240) )[0]\\n transform[band_pass] = 0\\n transform = np.abs(transform)**2\\n sos = scipy.signal.butter(3, 0.2, output='sos')\\n transform = scipy.signal.sosfilt(sos, transform)\\n powers = np.argsort(-1*transform)\\n hr, power = self._respiration_rejection([freqs[powers[0]], freqs[powers[1]]],[transform[powers[0]], transform[powers[1]]])\\n return hr, power\",\n \"def time_lag(data):\\n normalize = [i for i in range(1,len(data[0])+1)]\\n normalize += normalize[-2::-1]\\n idx = len(data[0])//4\\n def win(sig):\\n res = fftconvolve(sig, np.conj(sig)[::-1])/normalize\\n res[len(res)//2] = 0\\n return res[idx:idx*7]\\n autocorr = np.apply_along_axis(win, 1, data)\\n return np.max(np.abs(autocorr), axis=1)\",\n \"def get_frequency(frame):\\n frame = clip_centre(frame)\\n frame = auto_correlate(frame)\\n threshold: int = SAMPLE_RATE // 500\\n lag = frame[threshold:].argmax()\\n frequency = SAMPLE_RATE / lag\\n return frequency\",\n \"def freq_from_fft(self, sig, fs):\\n\\t # Compute Fourier transform of windowed signal\\n\\t windowed = sig * blackmanharris(len(sig))\\n\\t f = rfft(windowed)\\n\\n\\t # Find the peak and interpolate to get a more accurate peak\\n\\t i = argmax(abs(f)) # Just use this for less-accurate, naive version\\n\\t true_i = parabolic(log(abs(f)), i)[0]\\n\\n\\t # Convert to equivalent frequency\\n\\t return fs * true_i / len(windowed)\",\n \"def PLV_Coh(X,Y,TW,fs):\\n X = X.squeeze()\\n ntaps = 2*TW - 1\\n dpss = sp.signal.windows.dpss(X.size,TW,ntaps)\\n N = int(2**np.ceil(np.log2(X.size)))\\n f = np.arange(0,N)*fs/N\\n PLV_taps = np.zeros([N,ntaps])\\n Coh_taps = np.zeros([N,ntaps])\\n Phase_taps = np.zeros([N,ntaps])\\n for k in range(0,ntaps):\\n print('tap:',k+1,'/',ntaps)\\n Xf = sp.fft(X *dpss[k,:],axis=0,n=N)\\n Yf = sp.fft(Y * dpss[k,:].reshape(dpss.shape[1],1),axis=0,n=N)\\n XYf = Xf.reshape(Xf.shape[0],1) * Yf.conj()\\n Phase_taps[:,k] = np.unwrap(np.angle(np.mean(XYf/abs(XYf),axis=1)))\\n PLV_taps[:,k] = abs(np.mean(XYf / abs(XYf),axis=1))\\n Coh_taps[:,k] = abs(np.mean(XYf,axis=1) / np.mean(abs(XYf),axis=1))\\n \\n PLV = PLV_taps.mean(axis=1)\\n Coh = Coh_taps.mean(axis=1)\\n Phase = Phase_taps.mean(axis=1)\\n return PLV, Coh, f, Phase\",\n \"def analytic_signal(s):\\n\\n #take FFT\\n sfft = fft(s)\\n freq = fftfreq(len(s))\\n\\n #zero out coefficients at negative frequencies\\n sfft[freq < 0.0] = np.zeros(np.sum(freq < 0.0), dtype='complex')\\n sfft[freq >= 0.0] *= 2.0\\n\\n #take the IFFT\\n z = ifft(sfft)\\n return z\",\n \"def fbank(signal,samplerate=16000,winlen=0.025,winstep=0.01,\\n nfilt=26,nfft=512,lowfreq=0,highfreq=None,preemph=0.97): \\n highfreq= highfreq or samplerate/2\\n print \\\"preemph %s\\\"%(preemph)\\n signal = sigproc.preemphasis(signal,preemph)\\n frames = sigproc.framesig(signal, winlen*samplerate, winstep*samplerate)\\n matchframes(frames[0], frames[1])\\n pspec = sigproc.powspec(frames,nfft)\\n energy = pylab.sum(pspec,1) # this stores the total energy in each frame\\n energy = pylab.where(energy == 0, pylab.finfo(float).eps, energy) # if energy is zero, we get problems with log\\n fb = get_filterbanks(nfilt, nfft, samplerate, lowfreq, highfreq)\\n print \\\"len(fb) %s\\\"%(len(fb))\\n colour = \\\"k-\\\"\\n for i in range(len(fb)):\\n if colour == \\\"k-\\\":\\n colour = \\\"r-\\\"\\n else:\\n colour = \\\"k-\\\"\\n startedplot = False\\n midpoint = 0\\n for j in range(len(fb[i])):\\n if fb[i][j] > 0:\\n if startedplot == False:\\n startedplot = j\\n if j > 0:\\n pylab.plot([j-1, j], [fb[i][j-1], fb[i][j]], colour)\\n if fb[i][j] == 1.0:\\n midpoint = j\\n else:\\n if not startedplot == False:\\n pylab.plot([j-1, j], [fb[i][j-1], 0], colour)\\n try:\\n print \\\"slope to midpoint %.3f, slope from midpoint %.3f\\\"%(1.0/float(midpoint-startedplot), 1.0/float(midpoint-j+1))\\n except:\\n pass\\n break\\n pylab.show()\\n feat = pylab.dot(pspec, fb.T) # compute the filterbank energies\\n feat = pylab.where(feat == 0, pylab.finfo(float).eps, feat) # if feat is zero, we get problems with log\\n return feat, energy\",\n \"def freq_shift(x, f_shift, dt):\\n\\n # Pad the signal with zeros to prevent the FFT invoked by the transform from\\n # slowing down the computation:\\n N_orig = len(x)\\n N_padded = 2**nextpow2(N_orig)\\n t = numpy.arange(0, N_padded)\\n lo = numpy.exp(2j*numpy.pi*f_shift*dt*t)\\n x0 = numpy.append(x, numpy.zeros(N_padded-N_orig, x.dtype))\\n h = scipy.signal.hilbert(x0)*lo\\n ret = h[:N_orig].real\\n return ret\",\n \"def _extract_fbank(self, sig, sr):\\n\\n emphasized_signal = np.append(sig[0], sig[1:] - 0.97 * sig[:-1])\\n frame_length, frame_step = FRAME_SIZE * sr, FRAME_STRIDE * sr\\n signal_length = len(emphasized_signal)\\n frame_length = int(round(frame_length))\\n frame_step = int(round(frame_step))\\n num_frames = int(np.ceil(float(np.abs(signal_length - frame_length)) / frame_step))\\n\\n pad_signal_length = num_frames * frame_step + frame_length\\n z = np.zeros((pad_signal_length - signal_length))\\n pad_signal = np.append(emphasized_signal, z)\\n\\n indices = np.tile(np.arange(0, frame_length),\\n (num_frames, 1)) + np.tile(np.arange(0, num_frames * frame_step, frame_step),\\n (frame_length, 1)).T\\n frames = pad_signal[indices.astype(np.int32, copy=False)]\\n # Apply the hamming window function\\n frames *= np.hamming(frame_length)\\n nfft, nfilt = 512, 40\\n mag_frames = np.absolute(np.fft.rfft(frames, nfft))\\n pow_frames = ((1.0 / nfft) * (mag_frames ** 2))\\n low_freq_mel = 0\\n \\n ### AI:\\n # the following line works correcty as-is in python3\\n # *** high_freq_mel = (2595 * np.log10(1 + (sr / 2) / 700)) ***\\n # however, in python it results in a smaller value of 'high_freq_mel'\\n # as the 'sr' variable is interpreted as integer\\n # it has minor impact on the performance of the natively trained and tested models\\n # however, if one uses python to test the models that were created in python3\\n # the models show the CER drop as much as 1% absolute\\n # the line below fixes that issue completely\\n high_freq_mel = (2595 * np.log10(1 + (float(sr) / 2) / 700))\\n \\n mel_points = np.linspace(low_freq_mel, high_freq_mel, nfilt + 2)\\n hz_points = (700 * (10**(mel_points / 2595) - 1))\\n bin = np.floor((nfft + 1) * hz_points / sr)\\n\\n fbank = np.zeros((nfilt, int(np.floor(nfft / 2 + 1))))\\n for m in range(1, nfilt + 1):\\n f_m_minus = int(bin[m - 1]) # left\\n f_m = int(bin[m]) # center\\n f_m_plus = int(bin[m + 1]) # right\\n\\n for k in range(f_m_minus, f_m):\\n fbank[m - 1, k] = (k - bin[m - 1]) / (bin[m] - bin[m - 1])\\n for k in range(f_m, f_m_plus):\\n fbank[m - 1, k] = (bin[m + 1] - k) / (bin[m + 1] - bin[m])\\n filter_banks = np.dot(pow_frames, fbank.T)\\n filter_banks = np.where(filter_banks == 0, np.finfo(float).eps, filter_banks)\\n \\n # AI:\\n # *** filter_banks = 20 * np.log10(filter_banks) ***\\n # 'pow_frames' contains the power spectrum (i.e. squared magnitude)\\n # the proper formula to convert to the logarithm scale in decibels is\\n # 10*log10(POW), while 20*log10(MAG) is used for the un-squared magnitude\\n # this way both formuli result in the same outcome\\n filter_banks = 10 * np.log10(filter_banks)\\n \\n # Apply mean normalization\\n filter_banks -= (np.mean(filter_banks, axis=0) + 1e-8)\\n filter_banks = filter_banks.transpose()\\n delta = librosa.feature.delta(filter_banks)\\n double_delta = librosa.feature.delta(delta)\\n fbank_feat = np.vstack([filter_banks, delta, double_delta]);\\n\\n fbank_feat = fbank_feat.transpose()\\n\\n assert np.shape(fbank_feat)[1] == 120, \\\"input dimensions incorrect\\\"\\n\\n # Truncate if audio sequence is too long\\n fbank_length = len(fbank_feat)\\n if fbank_length > self.max_input_seq_length:\\n fbank_feat = fbank_feat[:self.max_input_seq_length]\\n\\n return fbank_feat, fbank_length\",\n \"def addseeingImgFFT(img = None,fwhm=1.,e1=0.,e2=0.):\\n kern = gauss_seeing(npix,fwhm=fwhm,e1=e1,e2=e2)\\n img = img.astype('f') # required for the fftconvolve\\n covimg = convolveH(img,kern)\\n covimg = covimg/covimg.sum()\\n return covimg\",\n \"def robuststftL(fx,alpha=.325, nh=2**8,tstep=2**5,df=1.0,nfbins=2**10):\\r\\n \\r\\n #get length of input time series \\r\\n nfx=len(fx)\\r\\n \\r\\n #compute time shift list\\r\\n mlst=np.arange(start=-nh/2+1,stop=nh/2+1,step=1,dtype='int')\\r\\n #compute time locations to take STFT\\r\\n tlst=np.arange(start=0,stop=nfx-nh+1,step=tstep)\\r\\n \\r\\n #make a frequency list for plotting exporting only positive frequencies\\r\\n flst=np.fft.fftfreq(nfbins,1/df)\\r\\n flstc=flst[nfbins/2:]\\r\\n #Note: these are actually the negative frequencies but works better for\\r\\n #calculations\\r\\n flstp=flst[0:nfbins/2]\\r\\n \\r\\n #make time window and normalize\\r\\n sigmanh=nh/(6*np.sqrt(2*np.log(2)))\\r\\n h=sps.gaussian(nh,sigmanh)\\r\\n h=h/sum(h)\\r\\n \\r\\n #create an empty array to put the tf in and initialize a complex value\\r\\n tfarray=np.zeros((nfbins/2,len(tlst)),dtype='complex128')\\r\\n \\r\\n #take the hilbert transform of the signal to make complex and remove\\r\\n #negative frequencies\\r\\n fa=sps.hilbert(dctrend(fx))\\r\\n fa=fa/fa.std()\\r\\n \\r\\n #make a frequency list for plotting exporting only positive frequencies\\r\\n flst=np.fft.fftfreq(nfbins,1/df)[nfbins/2:]#get only positive frequencies\\r\\n \\r\\n #create list of coefficients\\r\\n a=np.zeros(nh)\\r\\n a[(nh-2)*alpha:alpha*(2-nh)+nh-1]=1./(nh*(1-2*alpha)+4*alpha)\\r\\n \\r\\n for tpoint,nn in enumerate(tlst):\\r\\n #calculate windowed correlation function of analytic function\\r\\n fxwin=h*fa[nn:nn+nh]\\r\\n for fpoint,mm in enumerate(flstc):\\r\\n fxelement=fxwin*np.exp(1j*2*np.pi*mlst*mm/df)\\r\\n fxreal=np.sort(fxelement.real)[::-1]\\r\\n fximag=np.sort(fxelement.imag)[::-1]\\r\\n tfpoint=sum(a*(fxreal+1j*fximag))\\r\\n if tfpoint==0.0:\\r\\n tfarray[fpoint,tpoint]=1E-10\\r\\n else:\\r\\n tfarray[fpoint,tpoint]=tfpoint\\r\\n #normalize tfarray\\r\\n tfarray=(4.*nh*df)*tfarray\\r\\n \\r\\n return tfarray,tlst,flstp\",\n \"def fourierNP(img):\\n\\tgray = grayscale(img)\\n\\tf = np.fft.fft2(gray)\\n\\tfshift = np.fft.fftshift(f)\\n\\tmagnitude_spectrum = 20*np.log(np.abs(fshift)) # RETURN THIS\\n return magnitude_spectrum\",\n \"def ssc(signal,samplerate=16000,winlen=0.025,winstep=0.01,\\n nfilt=26,nfft=512,lowfreq=0,highfreq=None,preemph=0.97): \\n highfreq= highfreq or samplerate/2\\n signal = sigproc.preemphasis(signal,preemph)\\n frames = sigproc.framesig(signal, winlen*samplerate, winstep*samplerate)\\n pspec = sigproc.powspec(frames,nfft)\\n pspec = pylab.where(pspec == 0,pylab.finfo(float).eps,pspec) # if things are all zeros we get problems\\n \\n fb = get_filterbanks(nfilt,nfft,samplerate,lowfreq,highfreq)\\n feat = pylab.dot(pspec,fb.T) # compute the filterbank energies\\n R = pylab.tile(pylab.linspace(1,samplerate/2,pylab.size(pspec,1)),(pylab.size(pspec,0),1))\\n \\n return pylab.dot(pspec*R,fb.T) / feat\",\n \"def highpass1(y, dt, fc=3) :\\r\\n tau=1/(2*np.pi*fc)\\r\\n alpha=tau/(tau+dt)\\r\\n y_filt=np.zeros(y.shape)\\r\\n y_filt[0]=0\\r\\n for i in np.arange(1,len(y)):\\r\\n y_filt[i]=alpha*y_filt[i-1] + alpha*(y[i]-y[i-1])\\r\\n m0=np.mean(y)\\r\\n m1=np.mean(y_filt)\\r\\n y_filt+=m0-m1\\r\\n return y_filt\",\n \"def freq_by_time(sig, fs, f_range, hilbert_increase_n=False, remove_edges=True, **filter_kwargs):\\n\\n pha = phase_by_time(sig, fs, f_range, hilbert_increase_n,\\n remove_edges, **filter_kwargs)\\n\\n phadiff = np.diff(pha)\\n phadiff[phadiff < 0] = phadiff[phadiff < 0] + 2 * np.pi\\n\\n i_f = fs * phadiff / (2 * np.pi)\\n i_f = np.insert(i_f, 0, np.nan)\\n\\n return i_f\",\n \"def PLV_Coh(X,Y,TW,fs):\\n X = X.squeeze()\\n ntaps = 2*TW - 1\\n dpss = sp.signal.windows.dpss(X.size,TW,ntaps)\\n N = int(2**np.ceil(np.log2(X.size)))\\n f = np.arange(0,N)*fs/N\\n PLV_taps = np.zeros([N,ntaps])\\n Coh_taps = np.zeros([N,ntaps])\\n \\n for k in range(0,ntaps):\\n print('tap:',k+1,'/',ntaps)\\n Xf = sp.fft(X *dpss[k,:],axis=0,n=N)\\n Yf = sp.fft(Y * dpss[k,:].reshape(dpss.shape[1],1),axis=0,n=N)\\n XYf = Xf.reshape(Xf.shape[0],1) * Yf.conj()\\n PLV_taps[:,k] = abs(np.mean(XYf / abs(XYf),axis=1))\\n Coh_taps[:,k] = abs(np.mean(XYf,axis=1) / np.mean(abs(XYf),axis=1))\\n \\n PLV = PLV_taps.mean(axis=1)\\n Coh = Coh_taps.mean(axis=1)\\n return PLV, Coh, f\",\n \"def get_fft(signal):\\n fs = 100.\\n Fk = np.fft.rfft(signal)/len(signal)\\n \\n f = np.fft.rfftfreq(len(signal), 1/fs)\\n #remove the noise\\n Fk[0] = 0\\n \\n return Fk, f\",\n \"def to_freq_space(img,mask):\\n img_f = np.fft.fft2(img) # FFT\\n #print('img_f = ', img_f)\\n img_undersample = img_f * ( mask)\\n #print('img_under = ', img_undersample)\\n #plt.figure()\\n #plt.imshow(np.abs(img_undersample),cmap='gray')\\n #plt.show()\\n img_fshift = np.fft.fftshift(img_undersample) # FFT shift\\n img_real = img_fshift.real # Real part: (im_size1, im_size2)\\n img_imag = img_fshift.imag # Imaginary part: (im_size1, im_size2)\\n img_real_imag = np.dstack((img_real, img_imag)) # (im_size1, im_size2, 2)\\n\\n return img_real_imag\",\n \"def diagnosefft(Y, df, charf, X, subband, debug=False, version=2, harmthreshold=3.0, subthreshold=3.0):\\n\\n #Rescale fft\\n df /= X\\n nHarm = 1\\n score = 0.0\\n if debug is True:\\n harmonics = []\\n subbandsNeg = []\\n subbandsPos = []\\n noises = []\\n scores = []\\n while True:\\n #if second harmonic, reduce the tolerance for finding peak\\n if nHarm == 1:\\n per = 0.02\\n else:\\n per = 0.01\\n #Detect the charf harmonic\\n j1 = int((nHarm*charf-per*charf)/df)\\n j2 = int((nHarm*charf+per*charf)/df)\\n jh = np.argmax(Y[j1:j2]) + j1\\n harm = Y[jh]\\n #Reclaibrate characteristic frequency\\n charf = df*jh/nHarm\\n #Detect the noise level for the harmonic\\n if version == 1:\\n j1n = int((nHarm*charf-0.02*charf)/df)\\n j2n = int((nHarm*charf+0.02*charf)/df)\\n if jh - j1n == 0:\\n noise = np.mean(Y[jh+1:j2n])\\n elif j2n - (jh + 1) == 0:\\n noise = np.mean(Y[j1n:jh])\\n else:\\n noise = (np.mean(Y[j1n:jh]) + np.mean(Y[jh+1:j2n]))/2.0\\n elif version == 2:\\n # Find left bottom of harmonic\\n for i in range(jh, 0, -1):\\n if Y[i-1] > Y[i]:\\n jhl = i\\n break\\n # Find right bottom of harmonic\\n for i in range(jh, Y.size, 1):\\n if Y[i+1] > Y[i]:\\n jhr = i\\n break\\n # j1n = int((nHarm*charf-charf)/df)\\n # j2n = int((nHarm*charf+charf)/df)\\n noise = (np.mean(Y[jhl-2:jhl+1]) + np.mean(Y[jhr:jhr+3]))/2.0\\n # print('j1=%i, j2=%i, jh=%i, harm=%f, jhl=%i, jhr=%i, noise=%f' % (j1,j2,jh,harm,jhl,jhr,noise))\\n #If there should be subbands, detect them aswell\\n if subband > 0.01:\\n #Check for negative subband first\\n j1 = int((nHarm*charf - subband - 0.05)/df)\\n j2 = int((nHarm*charf - subband + 0.05)/df)\\n jsn = np.argmax(Y[j1:j2]) + j1\\n negSubBand = Y[jsn]\\n #Check for position subband\\n j1 = int((nHarm*charf + subband - 0.05)/df)\\n j2 = int((nHarm*charf + subband + 0.05)/df)\\n jsp = np.argmax(Y[j1:j2]) + j1\\n posSubBand = Y[jsp]\\n #Make the final score!\\n #If subband should exist:\\n if subband > 0.01:\\n if harm >= noise*harmthreshold and (negSubBand > noise*subthreshold or posSubBand > noise*subthreshold):\\n score += harm/(noise*3.0)*nHarm**2.0\\n nHarm += 1\\n if debug is True:\\n subbandsNeg.append(jsn)\\n subbandsPos.append(jsp)\\n harmonics.append(jh)\\n noises.append(noise)\\n scores.append(score)\\n else:\\n if debug is True:\\n return score, subbandsNeg, subbandsPos, harmonics, noises, scores\\n else:\\n return score\\n #if subband should not exist\\n else:\\n if harm >= noise*harmthreshold:\\n score += harm/(noise*harmthreshold)*(nHarm+1.0)**2.0\\n nHarm += 1\\n if debug is True:\\n harmonics.append(jh)\\n noises.append(noise)\\n scores.append(score)\\n else:\\n if debug is True:\\n return score, subbandsNeg, subbandsPos, negSubBand, posSubBand, harmonics, noises, scores\\n else:\\n return score\\n\\n #Check if FFT is too short. If so, return what is done!\\n test1 = int((nHarm*charf+0.02*charf)/df)\\n test2 = int((nHarm*charf + subband + 0.05)/df)\\n if test1 > Y.size or test2 > Y.size:\\n if debug is True:\\n return score, subbandsNeg, subbandsPos, negSubBand, posSubBand, harmonics, noises, scores\\n else:\\n return score\",\n \"def processFile(filename,length = 256,q=1,fs_in=8000,divide=4,plot=False):\\n length = length*divide\\n #fs = sample rate, sound = multichannel sound signal\\n try:\\n fs1, sound = wavfile.read(filename)\\n except ValueError:\\n print(str(filename) + ' failed to process')\\n return 'failed'\\n if fs1 != fs_in:\\n raise ValueError('Sampling rate should be ' + str(fs_in) + ' for: ' + filename)\\n sig1 = sound[:0] #left channel\\n pre_emphasis = 0.97\\n sig1 = np.append(sig1[0], sig1[1:] - pre_emphasis * sig1[:-1])\\n\\n \\n fs2, sig2 = downsample(sig1,fs1,q)\\n N2 = len(sig2)\\n sig3 = sig2[N2//2-length:N2//2+length]\\n #print(len(sig3))\\n\\n FFT = abs(scipy.fft(sig3))\\n FFT_side = FFT[range(len(FFT)//2)]\\n #freqs = scipy.fftpack.fftfreq(sig3.size, 1/fs2)\\n #plt.plot(freqs,FFT)\\n if len(FFT_side) != length:\\n print('ERROR MESSAGE DETAILS')\\n print('filename: ' + filename)\\n print('length = ' + str(length))\\n print('fs_in = ' + str(fs_in))\\n print('q = ' + str(q))\\n print('divide = ' + str(divide))\\n total_time = len(sig1)/fs1\\n print('total_time = ' + str(total_time))\\n print('Please check: length < total_time*fs//(2*q)')\\n print('Check: ' + str(length) + ' < ' + str(total_time*fs1//(2*q)))\\n raise ValueError('Length FFT_side != length: ' + str(len(FFT_side)) + ' != ' + str(length))\\n \\n \\n FFT_log = []\\n # normalize FFT\\n for value in FFT_side:\\n value = np.log(value)\\n FFT_log.append(value)\\n max_val = getMax(FFT_log)[1]\\n FFT_norm = []\\n for value in FFT_log:\\n FFT_norm.append(value/max_val)\\n \\n \\n FFT_side = np.array(FFT_norm)\\n FFT_divided = FFT_side[range(length//divide)]\\n #plot = True\\n if plot == True:\\n freqs = scipy.fftpack.fftfreq(sig3.size, 1/fs2)\\n freqs_divided = np.array(freqs[range(len(FFT_divided))])\\n plt.plot(freqs_divided,FFT_divided) # plotting the complete fft spectrum\\n plt.show()\\n \\n return FFT_divided\",\n \"def detect_freqs(self):\\n n_fft_bins = self._config[\\\"audio_config\\\"][\\\"N_FFT_BINS\\\"]\\n channel_avgs = []\\n differences = []\\n \\n for i in range(n_fft_bins):\\n channel_avgs.append(sum(self.freq_channels[i])/len(self.freq_channels[i]))\\n differences.append(((self.freq_channels[i][0]-channel_avgs[i])*100)//channel_avgs[i])\\n for i in [\\\"beat\\\", \\\"low\\\", \\\"mid\\\", \\\"high\\\"]:\\n if any(differences[j] >= self.min_percent_diff[i]\\\\\\n and self.freq_channels[j][0] >= self.min_detect_amplitude[i]\\\\\\n for j in range(*self.detection_ranges[i]))\\\\\\n and (time.time() - self.prev_freq_detects[i] > 0.2)\\\\\\n and len(self.freq_channels[0]) == self.freq_channel_history:\\n self.prev_freq_detects[i] = time.time()\\n self.current_freq_detects[i] = True\\n else:\\n self.current_freq_detects[i] = False\",\n \"def mfcc(signal,samplerate=16000,winlen=0.025,winstep=0.01,numcep=13,\\n nfilt=26,nfft=512,lowfreq=0,highfreq=None,preemph=0.97,ceplifter=22,appendEnergy=True): \\n feat, energy = fbank(signal,samplerate,winlen,winstep,nfilt,nfft,lowfreq,highfreq,preemph)\\n feat = pylab.log(feat)\\n feat = dct(feat, type=2, axis=1, norm='ortho')[:,:numcep]\\n feat = lifter(feat,ceplifter)\\n if appendEnergy: feat[:,0] = pylab.log(energy) # replace first cepstral coefficient with log of frame energy\\n return feat\",\n \"def lowpassFFT(signal, rate, cutoff):\\n fft = np.fft.fft(signal)\\n fftfreq = np.fft.fftfreq(len(signal), 1/rate)\\n for i, freq in enumerate(fftfreq):\\n if abs(freq) >= cutoff:\\n fft[i] = 0\\n signal = np.fft.ifft(fft)\\n return signal\",\n \"def frequency_fft(vis, freq, dim, taper=np.ones_like, n_obs =1):\\n ft = []\\n W = (freq.max() - freq.min()) / n_obs\\n L = int(len(freq) / n_obs)\\n \\n for ii in range(n_obs):\\n ft.append(fft(vis[:,:,ii*L:(ii+1)*L] * taper(L), W, axes=(2,), a=0, b=2 * np.pi)[0][:,:,int(L/2):]) # return the positive part)\\n \\n ft = np.array(ft)\\n return ft\",\n \"def autoc(array):\\r\\n return ifft2(np.square(np.abs(fft2(array))))\",\n \"def constract(phase, magnitude):\\n new_spectrum = magnitude * np.exp(1j * phase)\\n\\n # reverse the shift and FFT\\n f_ishift = np.fft.ifftshift(new_spectrum)\\n img_back = np.fft.ifft2(f_ishift)\\n \\n return np.abs(img_back)\",\n \"def plot_carrier_frequency(self):\\r\\n roi = self.phase_roi\\r\\n phase_slice = (slice(roi[2], roi[3]), slice(roi[0], roi[1]))\\r\\n # calculation\\r\\n S = self.image[phase_slice] # signal in phase_roi\\r\\n t_axis = self.image.x_axis[roi[0]:roi[1]] # [ns] time axis\\r\\n y_axis = self.image.y_axis[roi[2]:roi[3]] # [mic] spatial scale\\r\\n N = S.shape[0]//2\\r\\n\\r\\n s = np.fft.fft(S, axis=0) / N # fft\\r\\n s_abs = np.abs(s[:N,:])\\r\\n f_axis = np.arange(N) / (2 * N) # spatial frequency axis\\r\\n\\r\\n s_mean = np.log10(np.mean(s_abs, axis=1))\\r\\n i0 = np.argmax(s_mean[3:])\\r\\n f0 = f_axis[3+i0] # [px^-1] fringe carrier frequency (estimate)\\r\\n s0 = s_mean[3+i0]\\r\\n sys.stdout.write(\\\"{} VISAR-{} fringe period = {:.1f} px\\\\n\\\".format(\\r\\n self.h5.shot_id[:11], self.leg, 1/f0))\\r\\n\\r\\n # plot calcs\\r\\n vlim_0 = dataimage.thresh_vlim(S, 0.01)\\r\\n vlim_1 = dataimage.thresh_vlim(np.log10(s_abs), (0.02, 0.005))\\r\\n tlim = (t_axis[0], t_axis[-1])\\r\\n ylim = (y_axis[0], y_axis[-1])\\r\\n flim = (0, 0.5) # [1/px]\\r\\n extent_0 = tlim + (0, S.shape[0]) # extent for signal\\r\\n# extent_0 = tlim + ylim # extent for signal\\r\\n extent_1 = tlim + flim # extent for fft\\r\\n\\r\\n # figure\\r\\n fig = plt.figure(figsize=(7,7), dpi=100)\\r\\n axs = []\\r\\n axs.append(fig.add_subplot(221, ylabel='[px]', title='signal'))\\r\\n axs.append(fig.add_subplot(222, sharey=axs[0], title='spatial lineout'))\\r\\n axs.append(fig.add_subplot(223, sharex=axs[0], title='log(fft(signal))',\\r\\n xlabel='time [ns]', ylabel=\\\"spatial frequency [px^-1]\\\"))\\r\\n axs.append(fig.add_subplot(224, sharey=axs[2], xlabel='log10(power)', title='spectral lineout'))\\r\\n\\r\\n axs[0].imshow(S, extent=extent_0,\\r\\n aspect='auto', vmin=vlim_0[0], vmax=vlim_0[1])\\r\\n axs[2].imshow(np.log10(s_abs), extent=extent_1,\\r\\n aspect='auto', vmin=vlim_1[0], vmax=vlim_1[1])\\r\\n axs[1].plot(np.mean(S, axis=1), np.arange(S.shape[0]))\\r\\n axs[3].plot(s_mean, f_axis)\\r\\n axs[0].set_ylim(*extent_0[2:])\\r\\n \\r\\n axs[3].annotate(\\\"fringe period\\\\n= {:.1f} px\\\".format(1/f0),\\r\\n (s0, f0), (0.95, 0.5), textcoords='axes fraction',\\r\\n arrowprops=dict(width=1, headwidth=6, facecolor='k',\\r\\n shrink=0.03), ha='right',)\\r\\n\\r\\n axs[3].axhline(f0*0.7, color='r', linestyle='dashed')\\r\\n axs[3].axhline(f0*1.4, color='r', linestyle='dashed')\\r\\n\\r\\n fig.tight_layout()\\r\\n fig.canvas.window().move(0,0)\\r\\n return fig\",\n \"def calcFFT(self):\\n try:\\n arr = np.fromstring(self.fqueue, dtype=np.float32)\\n # Slice for improved performance [200:len(arr)/2:50]#[len(arr)/2:]\\n fft = np.fft.fft(arr)[len(arr)/2:]\\n f = lambda x: 100 + 20. * log(abs(x))\\n mag = map(f, fft)\\n\\n self.sock.send('f' + json.dumps({\\n 'nsamp': len(mag),\\n 'samples': mag}))\\n self.fqueue = \\\"\\\"\\n self.fcount = 0\\n except:\\n pass\",\n \"def __init__(self, N=1024, fc=50., tmax=1., delay=None):\\n fc = float(fc)\\n tmax = float(tmax)\\n dt = tmax / (N-1)\\n df = 1. / tmax\\n istart = -N//2 + 1\\n nroll = -istart\\n t = np.arange(istart, N // 2 + 1) * dt\\n f = np.arange(istart, N // 2 + 1) * df\\n # arrange f as positve, negative freqs\\n f = np.roll(f, -nroll)\\n\\n # freq domain ricker\\n ricker_f = 2 * f**2 / (np.sqrt(np.pi) * fc**3) * np.exp(-(f/fc)**2)\\n\\n if delay is None:\\n delay = 1.5 / fc\\n ricker_f = ricker_f * np.exp(-1j * 2 * np.pi * f * delay)\\n\\n # time domain ricker\\n ricker_t = N * np.real(np.fft.ifft(ricker_f))\\n\\n\\n amp = np.absolute(ricker_f)\\n phase = np.unwrap(np.angle(ricker_f, False))\\n\\n # ricker_f[0] contains the zero frequency term,\\n # ricker_f[1:N//2] contains the positive-frequency terms,\\n # ricker_f[N//2 + 1:] contains the negative-frequency terms,\\n # in increasing order starting from the most negative frequency\\n self.delay = delay\\n self.fc = fc\\n self.dt = dt\\n # arange t and ricker_t in the order of increasing time; the zero phase case contains negative time\\n\\n self.ricker_t = np.roll(ricker_t, nroll)\\n self.f = f\\n self.t = t\\n self.df = df\\n self.ricker_f = ricker_f\\n self.amp = amp\\n self.phase = phase\\n self.nroll = nroll\",\n \"def irregularity(signal,fs, **kwargs):\\n S = np.abs(np.fft.fft(signal))\\n fv = np.fft.fftfreq(len(S), 1./fs)\\n idx = fv >= 0\\n S_plus = S[idx]\\n fv_plus = fv[idx]\\n S_k = S_plus[1:-1]\\n S_left = S_plus[2:]\\n S_right = S_plus[:-2]\\n return np.log(20*np.sum(np.abs(np.log(S_k/(S_left*S_k*S_right)**(1./3)))))\",\n \"def _irfft2d(f_x) :\",\n \"def continuous_hann_sinc_filter(\\n fs: int, fc: float, L: int, dtype: torch.dtype, device: torch.device\\n) -> Tensor:\\n assert L % 2 == 1\\n assert fc < fs / 2\\n hsupp = torch.linspace(-(L-1)/2, (L-1)/2, L, dtype=dtype, device=device)\\n hideal = (2 * fc / fs) * torch.sinc(2 * fc * hsupp / fs)\\n hann = torch.hann_window(L, dtype=dtype, device=device)\\n return hideal * hann\",\n \"def _calc_Lc(self, signal, dx):\\n\\n Wwin = np.fft.rfftfreq(len(signal), dx)\\n f_signal = np.fft.rfft(signal)\\n amplitude = np.abs(f_signal) * dx\\n power = amplitude ** 2\\n fc = np.sum(power[1:]*Wwin[1:])/np.sum(power[1:])\\n\\n return 1/fc\",\n \"def temporal_ideal_filter(tensor,low,high,fps,axis=0): \\n fft=fftpack.fft(tensor,axis=axis)\\n frequencies = fftpack.fftfreq(tensor.shape[0], d=1.0 / fps)\\n bound_low = (np.abs(frequencies - low)).argmin()\\n bound_high = (np.abs(frequencies - high)).argmin()\\n if (bound_low==bound_high) and (bound_high<len(fft)-1):\\n bound_high+=1\\n fft[:bound_low] = 0\\n fft[bound_high:-bound_high] = 0\\n fft[-bound_low:] = 0\\n iff=fftpack.ifft(fft, axis=axis)\\n \\n return np.abs(iff)\",\n \"def logfbank(signal,samplerate=16000,winlen=0.025,winstep=0.01,\\n nfilt=26,nfft=512,lowfreq=0,highfreq=None,preemph=0.97): \\n feat, energy = fbank(signal,samplerate,winlen,winstep,nfilt,nfft,lowfreq,highfreq,preemph)\\n return pylab.log(feat)\",\n \"def apply_fft(audio):\\n\\treturn numpy.abs(numpy.fft.rfft(audio))\",\n \"def linear_filter1D(sin, sout, lag=0, debug=0):\\n \\n assert len(sin) == len(sout), \\\"Signals must be same length! len(sin)=%d, len(sout)=%d\\\" % (len(sin), len(sout))\\n assert np.sum(np.isnan(sin)) == 0, \\\"There are NaNs in sin\\\"\\n assert np.sum(np.isnan(sout)) == 0, \\\"There are NaNs in sout\\\"\\n \\n lags = np.asarray(range(-lag, lag+1, 1)) \\n corrSinSout = correlation_function(sin, sout, lags, mean_subtract=True, normalize=False)\\n corrSinSin = correlation_function(sin, sin, lags, mean_subtract=True, normalize=False)\\n corrSoutSout = correlation_function(sout, sout, lags, mean_subtract=True, normalize=False)\\n win = hann(2*lag+1)\\n\\n \\n if lag == 0:\\n h = corrSinSout/corrSinSin\\n fvals = 0\\n gf = corrSinSout**2/(corrSinSin*corrSoutSout)\\n else:\\n # Normalize in the frequency domain\\n corrSinSoutF = fft(corrSinSout*win)\\n corrSinSinF = fft(corrSinSin*win)\\n corrSoutSoutF = fft(corrSoutSout*win)\\n hF = corrSinSoutF/np.abs(corrSinSinF)\\n gf = np.abs(corrSinSoutF*corrSinSoutF.conj())/(np.abs(corrSinSinF)*np.abs(corrSoutSoutF))\\n fvals = fftfreq(len(corrSinSout))\\n h = ifft(hF)\\n\\n# Plots for debugging/analyzing\\n if debug: \\n # Time domain plots\\n plt.figure()\\n plt.subplot(141)\\n plt.plot(lags, corrSinSout*win)\\n plt.title('Cross-Corr')\\n plt.subplot(142)\\n plt.plot(lags, corrSinSin*win)\\n plt.title('Auto-Corr Input')\\n plt.subplot(143)\\n plt.plot(lags, corrSoutSout*win)\\n plt.title('Auto-Corr Output')\\n plt.subplot(144)\\n plt.plot(lags, h)\\n plt.title('Filter')\\n \\n # Frequency domain plots\\n plt.figure()\\n fmid = len(fvals)//2\\n plt.subplot(131)\\n plt.plot(fvals[0:fmid], abs(corrSinSinF[0:fmid]) )\\n plt.title('Input Power')\\n plt.subplot(132)\\n plt.plot(fvals[0:fmid], abs(corrSoutSoutF[0:fmid]) )\\n plt.title('Output Power')\\n plt.subplot(133)\\n plt.plot(fvals[0:fmid], gf[0:fmid])\\n plt.title('Coherence')\\n \\n return h, lags, gf, fvals\",\n \"def chisqgrad_cphase_fft(vis_arr, A, clphase, sigma,\\n order=FFT_INTERP_DEFAULT, conv_func=GRIDDER_CONV_FUNC_DEFAULT, p_rad=GRIDDER_P_RAD_DEFAULT):\\n \\\"\\\"\\\"The gradient of the amplitude chi-squared\\\"\\\"\\\"\\n im_info, (uv1, uv2, uv3) = A\\n (xdim, ydim, npad, psize, pulse) = im_info\\n phase1 = np.exp(-1j*np.pi*psize*(uv1[:,0] + uv1[:,1]))\\n phase2 = np.exp(-1j*np.pi*psize*(uv2[:,0] + uv2[:,1]))\\n phase3 = np.exp(-1j*np.pi*psize*(uv3[:,0] + uv3[:,1]))\\n pulsefac1 = np.array([pulse(2*np.pi*uvpt[0], 2*np.pi*uvpt[1], psize, dom=\\\"F\\\") for uvpt in uv1])\\n pulsefac2 = np.array([pulse(2*np.pi*uvpt[0], 2*np.pi*uvpt[1], psize, dom=\\\"F\\\") for uvpt in uv2])\\n pulsefac3 = np.array([pulse(2*np.pi*uvpt[0], 2*np.pi*uvpt[1], psize, dom=\\\"F\\\") for uvpt in uv3])\\n # parameters to unpad the array \\n padvalx1 = padvalx2 = int(np.floor((npad - xdim)/2.0))\\n if xdim % 2:\\n padvalx2 += 1\\n padvaly1 = padvaly2 = int(np.floor((npad - ydim)/2.0))\\n if ydim % 2:\\n padvaly2 += 1\\n\\n clphase = clphase * DEGREE\\n sigma = sigma * DEGREE\\n\\n v1 = sampler(vis_arr, im_info, [uv1], order=order, sample_type=\\\"vis\\\")\\n v2 = sampler(vis_arr, im_info, [uv2], order=order, sample_type=\\\"vis\\\")\\n v3 = sampler(vis_arr, im_info, [uv3], order=order, sample_type=\\\"vis\\\")\\n clphase_samples = np.angle(v1*v2*v3)\\n\\n pref = (2.0/len(clphase)) * np.sin(clphase - clphase_samples)/(sigma**2)\\n pt1 = pref/v1.conj()\\n pt2 = pref/v2.conj()\\n pt3 = pref/v3.conj()\\n\\n # Setup and perform the inverse FFT\\n wdiff_arr1 = gridder(pt1 * phase1.conj() * pulsefac1.conj(), im_info, uv1, conv_func=conv_func, p_rad=p_rad) \\n wdiff_arr2 = gridder(pt2 * phase2.conj() * pulsefac2.conj(), im_info, uv2, conv_func=conv_func, p_rad=p_rad) \\n wdiff_arr3 = gridder(pt3 * phase3.conj() * pulsefac3.conj(), im_info, uv3, conv_func=conv_func, p_rad=p_rad) \\n grad_arr = np.fft.ifftshift(np.fft.ifft2(np.fft.fftshift(wdiff_arr1 + wdiff_arr2 + wdiff_arr3))) * npad * npad\\n\\n # extract relevant cells and flatten\\n out = np.imag(grad_arr[padvalx1:-padvalx2,padvaly1:-padvaly2].flatten()) # TODO or is x<-->y??\\n\\n return out\",\n \"def DFTscargle(times, signal,f0,fn,df):\\n f0 = 0.\\n #fn *= 2*np.pi\\n #df *= 2*np.pi\\n #-- initialize\\n nfreq = int((fn-f0)/(df))\\n print \\\"Nfreq=\\\",nfreq\\n tzero = times[0]\\n si = 1.\\n lfreq = 2*nfreq+1\\n mm = 2*nfreq\\n ftrx = np.zeros(mm)\\n ftix = np.zeros(mm)\\n om = np.zeros(mm)\\n w = np.zeros(mm)\\n wz = df #pi/(nn+dt)\\n nn = len(times)\\n \\n #-- calculate DFT\\n ftrx,ftix,om,w = pydft.ft(signal,times,wz,nfreq,si,lfreq,tzero,df,ftrx,ftix,om,w,nn,mm)\\n \\n if f0==0:\\n ftrx[1:] *= np.sqrt(2)\\n ftix[1:] *= np.sqrt(2)\\n w[1:] *= np.sqrt(2)\\n \\n cut_off = len(w)\\n for i in range(0,len(w))[::-1]:\\n if w[i] != 0: cut_off = i+1;break\\n \\n om = om[:cut_off]\\n ftrx = ftrx[:cut_off]\\n ftix = ftix[:cut_off]\\n w = w[:cut_off]\\n \\n # norm amplitudes for easy inversion\\n T = times[-1]-times[0]\\n N = len(times)\\n \\n w *= T/(2.*N)\\n ftrx *= T/(2.*N)\\n ftix *= T/(2.*N)\\n \\n return om*2*np.pi,w,ftrx,ftix\",\n \"def spectral_roll_on(sign, fs):\\n output = 0\\n f, ff = plotfft(sign, fs)\\n cum_ff = np.cumsum(ff)\\n value = 0.05*(sum(ff))\\n\\n for i in range(len(ff)):\\n if cum_ff[i] >= value:\\n output = f[i]\\n break\\n return output\",\n \"def fft_index(fft, frequency):\\n\\treturn 2 * int(len(fft) * frequency / AUDIO_RATE) # Not entirely clear on why I need to multiply by 2 here. I don't need to if I use fft instead of rfft, but then I get a bunch of crazy high frequency FFT data, or is it complex numbers or something...\",\n \"def lam(freq):\\n return C / freq\",\n \"def amp_by_time(sig, fs, f_range, hilbert_increase_n=False, remove_edges=True, **filter_kwargs):\\n\\n sig_filt, kernel = filter_signal(sig, fs, infer_passtype(f_range), f_range=f_range,\\n remove_edges=False, return_filter=True, **filter_kwargs)\\n\\n amp = np.abs(robust_hilbert(sig_filt, increase_n=hilbert_increase_n))\\n\\n if remove_edges:\\n amp = remove_filter_edges(amp, len(kernel))\\n\\n return amp\",\n \"def input_f(t,decay=0.5,freq=1.5):\\n u_t = 1*(t>0)\\n return np.cos(freq*t)*np.exp(-decay*t) * u_t\",\n \"def logfbank(signal,samplerate=16000,winlen=0.025,winstep=0.01,\\n nfilt=40,nfft=512,lowfreq=64,highfreq=None,dither=1.0,remove_dc_offset=True,preemph=0.97,wintype='hamming'):\\n feat,energy = fbank(signal,samplerate,winlen,winstep,nfilt,nfft,lowfreq,highfreq,dither, remove_dc_offset,preemph,wintype)\\n return numpy.log(feat)\",\n \"def rfft2d_freqs(h, w):\\n\\n fy = np.fft.fftfreq(h)[:, None]\\n # when we have an odd input dimension we need to keep one additional\\n # frequency and later cut off 1 pixel\\n if w % 2 == 1:\\n fx = np.fft.fftfreq(w)[: w // 2 + 2]\\n else:\\n fx = np.fft.fftfreq(w)[: w // 2 + 1]\\n return np.sqrt(fx * fx + fy * fy)\",\n \"def spectrogram(sig, window_size=256, step_scale=4, zer_pad=2, time_array=None,fft_type='fft', log=False, normalize=0, dc_cut=0, fft_shift=0,filtered=0, freq_mask=[]):\\n\\n # alias for sig length\\n sig=np.concatenate((np.zeros(window_size/4),sig,np.zeros(window_size/4)))\\n N = len(sig)\\n\\n # SFFT step size,\\n step = int(window_size / step_scale)\\n\\n if time_array is not None:\\n # beating frequency\\n if len(time_array) == len(sig):\\n beat_freq=eval_beat_freq(time_array,window_size=window_size,zer_pad=zer_pad,fft_shift=fft_shift)\\n else:\\n raise ValueError('length of time array and signal are different to evaluate spectrogram')\\n\\n # time array for spectrogram\\n time_spec = np.linspace(time_array[window_size], time_array[-window_size], num=(N - window_size) / step)\\n\\n # creates the window function that will 'slide' trough the signal\\n # to evaluate each FFT. Kaiser seems to be the cleanest one\\n #window_func = np.hanning(window_size)\\n #window_func = signal.tukey(window_size, 0.25)\\n window_func = signal.kaiser(window_size, 10)\\n\\n # if not shifting, treats as if real signal\\n factor=2\\n if fft_shift:\\n factor=1\\n\\n # create a matrix to receive the spectra\\n mat_Y=window_size*zer_pad/factor\\n #if len(freq_mask)!=0:\\n # mat_Y=len(np.where(freq_mask)[0])\\n matrix = np.empty(((N - window_size) / step, mat_Y))\\n\\n if filtered == 1:\\n b, a, zi = _init_filter()\\n\\n # slide window trough signal, and evaluates the FFT.\\n for i in range(int((N - window_size) / step)):\\n t = i * step\\n new_sig = sig[t:t + window_size]\\n #print(len(new_sig))\\n try:\\n new_sig = np.multiply(new_sig, window_func)\\n except ValueError:\\n print(len(new_sig), i, t)\\n if t < window_size:\\n new_sig = np.multiply(new_sig, window_func[:len(new - sig)])\\n elif t > window_size:\\n new_sig = np.multiply(new_sig, window_func[-len(new - sig):])\\n if fft_type == 'fft':\\n fft_sig = fftpack.fft(new_sig, n=zer_pad * window_size)[:window_size*zer_pad]\\n #fft_sig = fftpack.rfft(new_sig, zer_pad * window_size)[:window_size]\\n elif fft_type == 'welch':\\n freqs, fft_sig = signal.welch(new_sig, nfft=zer_pad * window_size*zer_pad)\\n fft_sig = fft_sig[1:window_size]\\n if dc_cut == True:\\n fft_sig = np.concatenate(\\n ([fft_sig[1]], fft_sig[1:-1], [fft_sig[1]]))\\n if fft_shift == 1:\\n fft_sig = np.fft.fftshift(fft_sig)\\n else:\\n fft_sig=fft_sig[:len(fft_sig)/factor]\\n fft_sig=abs(fft_sig)\\n # if len(freq_mask)!=0:\\n # fft_sig[freq_mask == False] = np.nan\\n # fft_sig=fft_sig[freq_mask]\\n # if normalize == True:\\n # fft_sig *= (1. / fft_sig.max())\\n # if log == True:\\n # fft_sig = np.log(fft_sig)\\n if filtered == 1:\\n fft_sig = _butter_filter(fft_sig, b, a, zi)\\n if 0:\\n import matplotlib.pyplot as plt\\n plt.figure('sfft')\\n plt.clf()\\n print(i, t, t + window_size, len(sig[t:t + window_size]))\\n plt.plot(sig[t:t + window_size], 'b',label='signal')\\n plt.plot(window_func, 'k',label='window')\\n plt.plot(new_sig, 'r',label='signal w/ window')\\n plt.legend(loc='best')\\n plt.twinx()\\n plt.plot(fft_sig, 'c')\\n plt.draw()\\n input('')\\n\\n matrix[i] = fft_sig\\n\\n if len(freq_mask)!=0:\\n matrix=matrix[:,freq_mask]\\n\\n if normalize == True:\\n matrix /= matrix.max(axis=1)[:, None]\\n\\n if log == True:\\n matrix = np.log(matrix)\\n\\n if time_array is not None:\\n return matrix.transpose(), time_spec, beat_freq\\n else:\\n return matrix.transpose()\",\n \"def create_fft_freq(dt, nfft, full):\\n freqs = da.fft.fftfreq(nfft, d=dt) \\n\\n if (nfft % 2 == 0):\\n freqs = da.hstack([freqs[0: nfft // 2], -freqs[nfft //2], freqs[nfft // 2:nfft]])\\n if full:\\n freqs = da.fft.fftshift(freqs)\\n else:\\n freqs = freqs[0:nfft // 2 + 1]\\n\\n return(freqs)\",\n \"def computebandfftfilter_gauss(signal0,dt,fc,sigma0,lTime): \\n signal1=np.concatenate((signal0[0]*np.linspace(1,1,100), signal0, signal0[-1]*np.linspace(1,1,100)))\\n fc=fc*2*np.pi\\n sigma=sigma0*2*np.pi\\n\\n NFFT = 2**nextpow2(len(signal1))\\n fourier=scipy.fft(signal1,NFFT) \\n \\n# %dt=.5;\\n f = 2*np.pi*(1/dt)*(np.linspace(0,NFFT-1,NFFT))/NFFT #CORRECT! \\n fil = np.exp((-(f-fc)**2)/(2*sigma**2))\\n signfiltf = np.multiply(fil,fourier)\\n\\n #new ifft \\n points = int(NFFT/2)\\n fas = signfiltf[range(points)]\\n \\n # Using only first half, rebuild full FAS by taking conjugate\\n fas_eqsig = np.zeros(len(signfiltf), dtype=complex)\\n #! Do not start from fas[0]\\n fas_eqsig[1:NFFT // 2] = fas[1:]\\n fas_eqsig[NFFT // 2 + 1:] = np.flip(np.conj(fas[1:]), axis=0) \\n # Inverse the rebuilt FAS to obtain the time series\\n sft = np.fft.ifft(fas_eqsig, n=NFFT) \\n \\n# %signal=interp1(0:length(sft)-1,sft,time);\\n stfinal=sft[100:len(signal1)-100] \\n \\n return stfinal\",\n \"def frequency_filter(fc, L, srf, KIND=2):\\n\\n if hasattr(KIND, \\\"__len__\\\"):\\n PASS = KIND\\n KIND = 2\\n else:\\n PASS = [2,3]\\n KIND = [KIND]\\n\\n # fourier transform of lateral inhibitory function \\n\\n # tonotopic axis\\n if issubclass(type(fc), str):\\n fc = float(fc)\\n R1 = np.arange(L).astype(np.float)/L*srf/2/np.abs(fc)\\n\\n if KIND == 1:\\n # Gabor function\\n C1 = 1./2/0.3/0.3\\n H = np.exp(-C1*(R1-1)**2) + np.exp(-C1*(R1+1)**2)\\n else:\\n # Gaussian Function\\n R1 = R1 ** 2\\n H = R1 * np.exp(1-R1)\\n\\n # passband\\n if PASS[0] == 1:\\n #lowpass\\n maxi = np.argmax(H)\\n sumH = H.sum()\\n H[0:maxi] = 1\\n H = H / (H.sum() or 1) * sumH\\n elif PASS[0] == PASS[1]:\\n # highpass\\n maxi = np.argmax(H)\\n sumH = H.sum()\\n H[maxi+1:L] = 1\\n H = H / (H.sum() or 1) * sumH\\n\\n return H\",\n \"def phase_by_time(sig, fs, f_range, hilbert_increase_n=False, remove_edges=True, **filter_kwargs):\\n\\n sig_filt, kernel = filter_signal(sig, fs, infer_passtype(f_range), f_range=f_range,\\n remove_edges=False, return_filter=True, **filter_kwargs)\\n\\n pha = np.angle(robust_hilbert(sig_filt, increase_n=hilbert_increase_n))\\n\\n if remove_edges:\\n pha = remove_filter_edges(pha, len(kernel))\\n\\n return pha\",\n \"def mfcc(signal,samplerate=16000,winlen=0.025,winstep=0.01,numcep=13,\\n nfilt=23,nfft=512,lowfreq=20,highfreq=None,dither=1.0,remove_dc_offset=True,preemph=0.97,\\n ceplifter=22,useEnergy=True,wintype='povey'):\\n feat,energy = fbank(signal,samplerate,winlen,winstep,nfilt,nfft,lowfreq,highfreq,dither,remove_dc_offset,preemph,wintype)\\n feat = numpy.log(feat)\\n feat = dct(feat, type=2, axis=1, norm='ortho')[:,:numcep]\\n feat = lifter(feat,ceplifter)\\n if useEnergy: feat[:,0] = numpy.log(energy) # replace first cepstral coefficient with log of frame energy\\n return feat\",\n \"def convolve(img, fourier_kernel):\\n return np.fft.ifftshift(np.fft.irfft2(np.fft.rfft2(img) * fourier_kernel))\",\n \"def fft2(X):\\r\\n # return scipy.fftpack.fft2(X)\\r\\n return np.fft.fft2(X)\",\n \"def convolve(signal, filter):\\r\\n\\r\\n # Make the signal and filter the correct size\\r\\n padded_signal, padded_filter = preprocess(signal, filter) # Constant time\\r\\n fft_signal = fft(padded_signal) # Log(n) complexity\\r\\n fft_filter = fft(padded_filter) # Log(n) complexity\\r\\n filtered_signal = np.multiply(fft_signal, fft_filter) # Element wise multiply (p multiplies)\\r\\n time_signal = inverse_fft(filtered_signal) # O(N^2)\\r\\n # Remove excess zeros\\r\\n time_signal = postprocess(time_signal, signal.size, filter.size) # O(N)\\r\\n print(\\\"Done Filtering\\\")\\r\\n # return np.convolve(filter, signal) # Replace with your fft implementation\\r\\n return time_signal\",\n \"def reassignedstft(fx,nh=2**6-1,tstep=2**5,nfbins=2**10,df=1.0,alpha=4,\\r\\n threshold=None):\\r\\n #make sure fx is type array\\r\\n fx=np.array(fx)\\r\\n #compute length of fx\\r\\n nx=len(fx)\\r\\n \\r\\n #make sure window length is odd\\r\\n if np.remainder(nh,2)==0:\\r\\n nh=nh+1\\r\\n \\r\\n #compute gaussian window\\r\\n h=gausswin(nh,alpha=alpha)\\r\\n #h=np.hanning(nh)\\r\\n lh=(nh-1)/2\\r\\n \\r\\n #compute ramp window\\r\\n th=h*np.arange(start=-lh,stop=lh+1,step=1)\\r\\n \\r\\n #compute derivative of window\\r\\n dh=dwindow(h)\\r\\n \\r\\n #make a time list of indexes\\r\\n tlst=np.arange(start=0,stop=nx,step=tstep)\\r\\n nt=len(tlst)\\r\\n \\r\\n #make a frequency list\\r\\n flst=np.fft.fftfreq(nfbins,1./df)[nfbins/2:]\\r\\n \\r\\n #initialize some time-frequency arrays\\r\\n tfr=np.zeros((nfbins,nt),dtype='complex128')\\r\\n tf2=np.zeros((nfbins,nt),dtype='complex128')\\r\\n tf3=np.zeros((nfbins,nt),dtype='complex128')\\r\\n \\r\\n #compute components for reassignment\\r\\n for ii,tt in enumerate(tlst):\\r\\n \\t#create a time shift list\\r\\n tau=np.arange(start=-min([np.round(nx/2.),lh,tt-1]),\\r\\n stop=min([np.round(nx/2.),lh,nx-tt-1])+1)\\r\\n \\t#compute the frequency spots to be calculated\\r\\n ff=np.remainder(nfbins+tau,nfbins)\\r\\n xlst=tt+tau\\r\\n hlst=lh+tau\\r\\n normh=np.sqrt(np.sum(abs(h[hlst])**2))\\r\\n tfr[ff,ii]=fx[xlst]*h[hlst].conj()/normh\\r\\n tf2[ff,ii]=fx[xlst]*th[hlst].conj()/normh\\r\\n tf3[ff,ii]=fx[xlst]*dh[hlst].conj()/normh\\r\\n \\r\\n #compute Fourier Transform\\r\\n spec=np.fft.fft(tfr,axis=0)\\r\\n spect=np.fft.fft(tf2,axis=0)\\r\\n specd=np.fft.fft(tf3,axis=0)\\r\\n \\r\\n #get only positive frequencies\\r\\n spec=spec[nfbins/2:,:]\\r\\n spect=spect[nfbins/2:,:]\\r\\n specd=specd[nfbins/2:,:]\\r\\n \\r\\n #check to make sure no spurious zeros floating around\\r\\n szf=np.where(abs(spec)<1.E-6)\\r\\n spec[szf]=0.0\\r\\n zerofind=np.nonzero(abs(spec))\\r\\n twspec=np.zeros((nfbins/2,nt),dtype='float')\\r\\n dwspec=np.zeros((nfbins/2,nt),dtype='float')\\r\\n twspec[zerofind]=np.round(np.real(spect[zerofind]/spec[zerofind])/1)\\r\\n dwspec[zerofind]=np.round(np.imag((nfbins/2.)*specd[zerofind]/spec[zerofind])/\\r\\n (np.pi))\\r\\n \\r\\n #compute reassignment\\r\\n rtfarray=np.zeros_like(spec)\\r\\n \\r\\n if threshold==None:\\r\\n threshold=1.E-4*np.mean(fx[tlst])\\r\\n\\r\\n for nn in range(nt):\\r\\n for kk in range(nfbins/2):\\r\\n if abs(spec[kk,nn])>threshold:\\r\\n #get center of gravity index in time direction\\r\\n nhat=int(nn+twspec[kk,nn])\\r\\n nhat=int(min([max([nhat,1]),nt-1]))\\r\\n #get center of gravity index in frequency direction\\r\\n khat=int(kk-dwspec[kk,nn])\\r\\n khat=int(np.remainder(np.remainder(khat-1,nfbins/2)+nfbins/2,\\r\\n nfbins/2))\\r\\n #reassign energy\\r\\n rtfarray[khat,nhat]=rtfarray[khat,nhat]+spec[kk,nn]\\r\\n #rtfarray[kk,nn]=spec[khat,nhat]\\r\\n spect[kk,nn]=khat+1j*nhat\\r\\n else:\\r\\n spect[kk,nn]=np.inf*(1+1j)\\r\\n rtfarray[kk,nn]=rtfarray[kk,nn]+spec[kk,nn]\\r\\n \\r\\n return rtfarray,tlst,flst,spec\",\n \"def detect_beats(ecg, rate, ransac_window_size=5.0, lowfreq=5.0, highfreq=15.0):\\n\\n ransac_window_size = int(ransac_window_size * rate)\\n\\n lowpass = scipy.signal.butter(1, highfreq / (rate / 2.0), 'low')\\n highpass = scipy.signal.butter(1, lowfreq / (rate / 2.0), 'high')\\n # TODO: Could use an actual bandpass filter\\n ecg_low = scipy.signal.filtfilt(*lowpass, x=ecg)\\n ecg_band = scipy.signal.filtfilt(*highpass, x=ecg_low)\\n\\n # Square (=signal power) of the first difference of the signal\\n decg = np.diff(ecg_band)\\n decg_power = decg ** 2\\n\\n # Robust threshold and normalizator estimation\\n thresholds = []\\n max_powers = []\\n for i in range(int(len(decg_power) / ransac_window_size)):\\n sample = slice(i * ransac_window_size, (i + 1) * ransac_window_size)\\n d = decg_power[sample]\\n thresholds.append(0.5 * np.std(d))\\n max_powers.append(np.max(d))\\n\\n threshold = np.median(thresholds)\\n max_power = np.median(max_powers)\\n decg_power[decg_power < threshold] = 0\\n\\n decg_power /= max_power\\n decg_power[decg_power > 1.0] = 1.0\\n square_decg_power = decg_power ** 2\\n square_decg_power[square_decg_power < 1e-12] = 1e-12\\n\\n shannon_energy = -square_decg_power * np.log(square_decg_power)\\n shannon_energy[~np.isfinite(shannon_energy)] = 0.0\\n\\n mean_window_len = int(rate * 0.125 + 1)\\n lp_energy = np.convolve(shannon_energy, [1.0 / mean_window_len] * mean_window_len, mode='same')\\n\\n lp_energy = scipy.ndimage.gaussian_filter1d(lp_energy, rate / 8.0)\\n lp_energy_diff = np.diff(lp_energy)\\n\\n zero_crossings = (lp_energy_diff[:-1] > 0) & (lp_energy_diff[1:] < 0)\\n zero_crossings = np.flatnonzero(zero_crossings)\\n zero_crossings -= 1\\n return zero_crossings\",\n \"def freqdomain(self):\\n \\n\\n #self.df = self.f[1] - self.f[0]\\n #frequency vector\\n #fv = fftshift(fftfreq(len(eta),1./fs))\\n #fv = fv[len(fv)/2:]\\n \\n #spectral analysis\\n self.sn1 = self.espec1(self.n1)\\n self.sn2 = self.espec1(self.n2)\\n self.sn3 = self.espec1(self.n3)\\n self.sn12 = self.espec2(self.n1,self.n2)\\n self.sn13 = self.espec2(self.n1,self.n3)\\n self.sn23 = self.espec2(self.n2,self.n3)\\n \\n #delta freq\\n self.df = self.f[3] - self.f[2]\\n\\n #calculo do numero de onda\\n #self.wavenumber()\\n #k = numeronda(h,f,len(f))\\n #k = np.array(k)\\n\\n #calculo dos coeficientes de fourier - NDBC 96_01 e Steele (1992)\\n c = self.sn2[:,1] + self.sn3[:,1]\\n cc = np.sqrt(self.sn1[:,1] * (c))\\n \\n self.a1 = self.sn12[:,3] / cc\\n self.b1 = self.sn13[:,3] / cc\\n \\n self.a2 = (self.sn2[:,1] - self.sn3[:,1]) / c\\n self.b2 = 2 * self.sn12[:,2] / c\\n \\n #calcula direcao de onda\\n #mean direction\\n self.dire1 = np.array([np.angle(np.complex(self.b1[i],self.a1[i]),deg=True) for i in range(len(self.a1))])\\n \\n #principal direction\\n self.dire2 = 0.5 * np.array([np.angle(np.complex(self.b2[i],self.a2[i]),deg=True) for i in range(len(self.a2))])\\n \\n #condicao para valores maiores que 360 e menores que 0\\n self.dire1[np.where(self.dire1 < 0)] = self.dire1[np.where(self.dire1 < 0)] + 360\\n self.dire1[np.where(self.dire1 > 360)] = self.dire1[np.where(self.dire1 > 360)] - 360\\n self.dire2[np.where(self.dire2 < 0)] = self.dire2[np.where(self.dire2 < 0)] + 360\\n self.dire2[np.where(self.dire2 > 360)] = self.dire2[np.where(self.dire2 > 360)] - 360\\n \\n #acha o indice da frequencia de pico\\n ind = np.where(self.sn1[:,1] == np.max(self.sn1[:,1]))[0]\\n \\n #periodo de pico\\n self.tp = (1. / self.f[ind])[0]\\n \\n #momento espectral de ordem zero total - m0\\n self.m0 = np.sum(self.sn1[:,1]) * self.df\\n \\n #calculo da altura significativa\\n self.hm0 = 4.01 * np.sqrt(self.m0)\\n \\n #direcao do periodo de pico\\n self.dp = self.dire1[ind][0]\\n \\n #Espalhamento direcional\\n #Formula do sigma1 do livro Tucker&Pitt(2001) \\\"Waves in Ocean Engineering\\\" pags 196-198\\n c1 = np.sqrt(self.a1 ** 2 + self.b1 ** 2)\\n c2 = np.sqrt(self.a2 ** 2 + self.b2 ** 2)\\n \\n s1 = c1 / (1-c1)\\n s2 = (1 + 3 * c2 + np.sqrt(1 + 14 * c2 + c2 ** 2)) / (2 * (1 - c2))\\n \\n self.sigma1 = np.sqrt(2 - 2 * c1) * 180 / np.pi\\n self.sigma2 = np.sqrt((1 - c2) / 2) * 180 / np.pi\\n \\n self.sigma1p = np.real(self.sigma1[ind])[0]\\n self.sigma2p = np.real(self.sigma2[ind])[0]\\n \\n # pondaf = np.array([hm0, tp, dp, sigma1p, sigma2p])\\n \\n #hm0, tp, dp, sigma1, sigma2, sigma1p, sigma2p, f, df, k, sn, snx, sny, snn, snnx, snny, snxny, snxnx, snyny, a1, b1, a2, b2, dire1, dire2\\n #return hm0, tp, dp, sigma1, sigma2, sigma1p, sigma2p, f, df, k, sn, snx, sny, snn, snnx, snny, snxny, snxnx, snyny, a1, b1, a2, b2, dire1, dire2\",\n \"def freq2den(freq):\\n\\n return freq * freq * k_2\",\n \"def acor_fn(x):\\n n = len(x)\\n f = np.fft.fft(x-np.mean(x), n=2*n)\\n acf = np.fft.ifft(f * np.conjugate(f))[:n].real\\n return acf / acf[0]\",\n \"def acor_fn(x):\\n n = len(x)\\n f = np.fft.fft(x-np.mean(x), n=2*n)\\n acf = np.fft.ifft(f * np.conjugate(f))[:n].real\\n return acf / acf[0]\",\n \"def fourier(data, temp_freq, axis, output = 'amplitude'):\\n\\t\\t\\n\\t\\n\\t# take largest possible multiple of F1 from PSTH.\\n\\t# Generate freq and fft\\n\\t# generate amplitude\\n\\t# return amplitude, F0, F1 and F2 values\",\n \"def one_transition_spectrum_ld(self,tr):\\n \\n\\n ta = tr[\\\"ta\\\"] # TimeAxis\\n ld = tr[\\\"ld\\\"] # linear dichroism strength\\n om = tr[\\\"om\\\"] # frequency - rwa\\n gg = tr[\\\"gg\\\"] # natural broadening (constant or time dependent)\\n fwhm = tr[\\\"fwhm\\\"] # Additional gaussian broadening of the spectra\\n sgm = fwhm/(2*numpy.sqrt(2*numpy.log(2)))\\n \\n if self.system._has_system_bath_coupling:\\n# ct = tr[\\\"ct\\\"] # correlation function\\n \\n # convert correlation function to lineshape function\\n #gt = self._c2g(ta,ct.data)\\n gt = tr[\\\"gt\\\"]\\n # calculate time dependent response\\n at = numpy.exp(-gt -1j*om*ta.data)\\n else:\\n # calculate time dependent response\\n at = numpy.exp(-1j*om*ta.data) \\n \\n \\n if len(gg) == 1:\\n gam = gg[0]\\n rt = numpy.exp(gam*ta.data)\\n at *= rt\\n #print(\\\"Constant: \\\", rt[20], len(at))\\n else:\\n rt = numpy.exp((gg)*ta.data) \\n at *= rt\\n #print(\\\"Time dependent: len = \\\", rt[20], len(rt))\\n \\n if fwhm!=0.0:\\n gauss = numpy.exp(-2*(numpy.pi**2)*(sgm**2)*(ta.data**2))\\n at *= gauss\\n \\n # Fourier transform the result\\n ft = ld*numpy.fft.hfft(at)*ta.step\\n ft = numpy.fft.fftshift(ft)\\n # invert the order because hfft is a transform with -i\\n ft = numpy.flipud(ft) \\n # cut the center of the spectrum\\n Nt = ta.length #len(ta.data) \\n return ft[Nt//2:Nt+Nt//2]\",\n \"def spectral_brightness(data, fft_data):\\n spec = np.abs(fft_data)\\n weight_vec = np.log(np.linspace(1, 100, len(fft_data)))\\n weight_vec = np.pi*weight_vec/weight_vec[-1]\\n weight = np.cos(weight_vec)/2 + 0.5\\n low_spec_sum = sum(spec*weight)\\n high_spec_sum = sum(spec*(1-weight))\\n if low_spec_sum == 0:\\n return 1 # attention: if signal is a sine at fs/2 this is also hit\\n return high_spec_sum/low_spec_sum\",\n \"def rfft2d_freqs(h, w):\\n fy = np.fft.fftfreq(h)[:, None]\\n fx = np.fft.fftfreq(w)\\n return np.sqrt(fx * fx + fy * fy)\",\n \"def _fftfreq(self, n):\\r\\n val = 1.0 / n\\r\\n N = floor((n - 1) / 2) + 1\\r\\n results = [i for i in range(0, int(N))]\\r\\n p1 = [i for i in range(0, int(n))]\\r\\n for k in range(0, int(N)):\\r\\n results[k] = k * val\\r\\n for j in range(0, int(n)):\\r\\n results[j] = -floor(n / 2) - (N - j) * val\\r\\n return results\",\n \"def FeatureExtraction(ppg, accx, accy, accz):\\n\\n fs = 125\\n n = len(ppg) * 4\\n # applying fast Fourier transform\\n freqs = np.fft.rfftfreq(n, 1/fs)\\n fft = np.abs(np.fft.rfft(ppg,n))\\n fft[freqs <= 40/60.0] = 0.0\\n fft[freqs >= 240/60.0] = 0.0\\n \\n ## calculating L2 norm\\n acc_mag = np.sqrt(accx**2 + accy**2 + accz**2)\\n acc_fft = np.abs(np.fft.rfft(acc_mag, n))\\n acc_fft[freqs <= 40/60.0] = 0.0\\n acc_fft[freqs >= 240/60.0] = 0.0\\n \\n ppg_feature = freqs[np.argmax(fft)]\\n acc_feature = freqs[np.argmax(acc_fft)]\\n \\n return (np.array([ppg_feature, acc_feature]), ppg, accx, accy, accz)\",\n \"def _cutoff(xdata, ydata, btype, fs, ff):\\r\\n try:\\r\\n# print ff\\r\\n if ff != None:\\r\\n nPts = int(1./(((xdata.max()-xdata.min())/xdata.shape[0])*(ff/10.)))\\r\\n else:\\r\\n nPts = 0\\r\\n if nPts%2 == 0:\\r\\n nPts = nPts + 1\\r\\n if nPts < xdata.shape[0]:\\r\\n nPts = xdata.shape[0]\\r\\n# print nPts\\r\\n window = np.hanning(ydata.shape[0])\\r\\n freq = FourierFrequency(xdata, nPts)\\r\\n index = np.argsort(freq)\\r\\n tdf = FourierTransform(ydata*window, nPts)\\r\\n tdf = abs(tdf)\\r\\n pp = _maxima(tdf[index], freq[index], lookahead = 1)\\r\\n# mm = _minima(tdf[index], freq[index], lookahead=1)\\r\\n pp, hh = np.array(np.array(pp).T[0]), np.array(np.array(pp).T[1])\\r\\n# mm = np.array(np.array(mm).T[0])#, np.array(np.array(mm).T[1])\\r\\n ind = np.where(pp == min(abs(pp)))[0][0]\\r\\n ind2 = np.where(hh == max(hh[(ind+1):]))[0][0]\\r\\n for u, i in enumerate(freq):\\r\\n if i > abs(pp[ind2])*1.5 or i < -abs(pp[ind2])*1.5 or (i < abs(pp[ind2])/2. and i > -abs(pp[ind2])/2.) or (tdf[u] > hh[ind2]*1.05): #(abs(i) < abs(mm[indmin])) or \\r\\n tdf[u] = 0.\\r\\n def lor2(x, A0, x0, gamma0):\\r\\n return A0*(1/np.pi)*(gamma0/2)/((x-x0)**2+(gamma0/2)**2)+A0*(1/np.pi)*(gamma0/2)/((x+x0)**2+(gamma0/2)**2)\\r\\n lmod2 = lmf.Model(lor2)\\r\\n lmod2.make_params()\\r\\n lmod2.set_param_hint('A0', value=max(tdf), min=max(tdf)/1000.)\\r\\n lmod2.set_param_hint('x0', value=abs(pp[ind2]), min=0.)\\r\\n lmod2.set_param_hint('gamma0', value=1., min=0.)\\r\\n result2 = lmod2.fit(tdf[index], x=freq[index])\\r\\n# print result2.values.get('x0'), result2.values.get('gamma0')\\r\\n if btype=='high':\\r\\n if result2.values.get('x0')-result2.values.get('gamma0') > 0.:\\r\\n# print \\\"frequency: \\\", result2.values.get('x0')-result2.values.get('gamma0')\\r\\n if hh[ind2] != max(hh[(ind+1):]):\\r\\n print \\\"False\\\", \\\" maximum\\\", \\\"\\\\n\\\", \\\"\\\\n\\\", \\\"\\\\n\\\"\\r\\n return result2.values.get('x0')-result2.values.get('gamma0')\\r\\n else:\\r\\n# print \\\"failed: 0\\\"\\r\\n return 0.\\r\\n elif btype=='low':\\r\\n return result2.values.get('x0')+result2.values.get('gamma0')\\r\\n except Exception:\\r\\n pass\\r\\n finally:\\r\\n pass\",\n \"def _frequency_2_real(self, copy=False):\\n Fkernel = self._Fkernel\\n if copy:\\n Fkernel = self._Fkernel.copy()\\n return np.fft.fftshift(self.basis._ifftn(Fkernel),\\n axes=self.basis._axes)\",\n \"def rangerate_from_freq(freq,Fc):\\n # print(f'freq {freq} Fc {Fc}')\\n dopp_at_IF = freq - Fc\\n return dopp_at_IF*scipy.constants.speed_of_light/Fc\",\n \"def fft(y, Fs, detrend='constant', hann=True, cons=True, debug=False):\\n \\n # Copy input array\\n y = np.array(y)\\n\\n # Set variables\\n n = y.size\\n T = n/Fs\\n\\n # Check if conservative output is desired\\n if cons:\\n Fmax = Fs/2.56\\n else:\\n Fmax = Fs/2.0\\n\\n # Get number of lines\\n LOR = int(T*Fmax)\\n\\n # Remove mean if desired\\n if detrend != 'none':\\n y = scipy_detrend(y, type=detrend)\\n\\n # Apply hanning window\\n if hann is True:\\n y = np.hanning(y.size)*y\\n\\n # Perform DFT\\n Y = rawfft(y)\\n df = 1.0/T\\n return np.abs(Y[0:LOR])*2.0/n, df\",\n \"def totalInfilHorton1time(f0, fc, k, t):\\n numerator = (f0 - fc)*(1 - np.exp(-k*t))\\n Ft = (fc*t) + (numerator/k)\\n return Ft\",\n \"def get_cycle(tas,period=12,return_complex=False):\\n L = len(tas)\\n freqs = np.fft.fftfreq(L)\\n closest = np.abs(freqs-1./period)\\n# i = np.where(freqs == 1./period)[0]\\n i = np.argmin(closest)\\n #print 1/freqs[i]\\n tas_fft = np.fft.fft(tas)/L\\n R = tas_fft.real\\n Im = tas_fft.imag\\n if return_complex:\\n return R[i],Im[i]\\n else:\\n mag = 2*np.sqrt(R**2+Im**2)\\n phase = np.arctan2(Im,R)\\n return mag[i],phase[i]\",\n \"def gga_freq_abs(x, sample_rate, freq):\\n # TODO: This is slow. Any way to improve it?\\n lx = _BLOCK_SIZE\\n pik_term = 2 * _PI * freq / sample_rate\\n cos_pik_term = tf.cos(pik_term)\\n cos_pik_term2 = 2 * cos_pik_term\\n\\n # TODO: Maybe if we make these states into proper variables and assign to them,\\n # we will use less memory.\\n # Use tf.zeros because zeros_initializer doesn't seem to work in tf 1.0.\\n\\n # number of iterations is (by one) less than the length of signal\\n # Pipeline the first two iterations.\\n s1 = tf.tile(x[:, 0, None], (1, _NUM_BANDS))\\n s0 = x[:, 1, None] + cos_pik_term2 * s1\\n s2 = s1\\n s1 = s0\\n\\n def cond(ind, *_):\\n return ind < lx - 1\\n\\n def body(ind, s):\\n s1 = s[0]\\n s2 = s[1]\\n s0 = x[:, ind, None] + cos_pik_term2 * s1 - s2\\n return (ind + 1, (s0, s1))\\n\\n _, s = tf.while_loop(\\n cond,\\n body,\\n loop_vars=(tf.constant(2), (s1, s2)),\\n parallel_iterations=1)\\n s1 = s[0]\\n s2 = s[1]\\n\\n s0 = x[:, lx - 1, None] + cos_pik_term2 * s1 - s2\\n\\n # TODO: Figure out why this doesn't work.\\n # | s0 - s1 exp(-ip) |\\n # | s0 - s1 cos(p) + i s1 sin(p)) |\\n # sqrt((s0 - s1 cos(p))^2 + (s1 sin(p))^2)\\n # sqrt(s0^2 - 2 s0 s1 cos(p) + s1^2 cos^2(p) + s1^2 sin^2(p))\\n # sqrt(s0^2 + s1^2 - 2 s0 s1 cos(p))\\n\\n # y = stable_sqrt(s0**2 + s1**2 - s0*s1*cos_pik_term2)\\n y = stable_sqrt((s0 - s1*cos_pik_term)**2 + (s1 * tf.sin(pik_term))**2)\\n return y\",\n \"def fft2(a, shift_in=False, shift_out=False):\\n s = a.shape\\n if len(s) != 2:\\n raise GalSimValueError(\\\"Input array must be 2D.\\\",s)\\n M, N = s\\n Mo2 = M // 2\\n No2 = N // 2\\n\\n if M != Mo2*2 or N != No2*2:\\n raise GalSimValueError(\\\"Input array must have even sizes.\\\",s)\\n\\n if a.dtype.kind == 'c':\\n a = a.astype(np.complex128, copy=False)\\n xim = ImageCD(a, xmin = -No2, ymin = -Mo2)\\n kim = ImageCD(BoundsI(-No2,No2-1,-Mo2,Mo2-1))\\n with convert_cpp_errors():\\n _galsim.cfft(xim._image, kim._image, False, shift_in, shift_out)\\n kar = kim.array\\n else:\\n a = a.astype(np.float64, copy=False)\\n xim = ImageD(a, xmin = -No2, ymin = -Mo2)\\n\\n # This works, but it's a bit slower.\\n #kim = ImageCD(BoundsI(-No2,No2-1,-Mo2,Mo2-1))\\n #_galsim.cfft(xim._image, kim._image, False, shift_in, shift_out)\\n #kar = kim.array\\n\\n # Faster to start with rfft2 version\\n rkim = ImageCD(BoundsI(0,No2,-Mo2,Mo2-1))\\n with convert_cpp_errors():\\n _galsim.rfft(xim._image, rkim._image, shift_in, shift_out)\\n # This only returns kx >= 0. Fill out the full image.\\n kar = np.empty( (M,N), dtype=np.complex128)\\n rkar = rkim.array\\n if shift_out:\\n kar[:,No2:N] = rkar[:,0:No2]\\n kar[0,0:No2] = rkar[0,No2:0:-1].conjugate()\\n kar[1:Mo2,0:No2] = rkar[M-1:Mo2:-1,No2:0:-1].conjugate()\\n kar[Mo2:M,0:No2] = rkar[Mo2:0:-1,No2:0:-1].conjugate()\\n else:\\n kar[:,0:No2] = rkar[:,0:No2]\\n kar[0,No2:N] = rkar[0,No2:0:-1].conjugate()\\n kar[1:M,No2:N] = rkar[M-1:0:-1,No2:0:-1].conjugate()\\n return kar\",\n \"def lowpass1(y, dt, fc=3) :\\r\\n tau=1/(2*np.pi*fc)\\r\\n alpha=dt/(tau+dt)\\r\\n y_filt=np.zeros(y.shape)\\r\\n y_filt[0]=y[0]\\r\\n for i in np.arange(1,len(y)):\\r\\n y_filt[i]=alpha*y[i] + (1-alpha)*y_filt[i-1]\\r\\n return y_filt\",\n \"def quantify_cf(lags, cf, plot=False):\\n\\n # identify the peak magnitude\\n abs_cf = np.abs(cf)\\n peak_magnitude = abs_cf.max()\\n\\n # identify the peak delay\\n imax = abs_cf.argmax()\\n peak_delay = lags[imax]\\n\\n # compute the area under the curve\\n dt = np.diff(lags).max()\\n cf_width = abs_cf.sum()*dt\\n\\n # compute the skewdness\\n p = abs_cf / abs_cf.sum()\\n mean = np.sum(lags*p)\\n std = np.sqrt(np.sum(p*(abs_cf - mean)**2))\\n skew = np.sum(p*(abs_cf - mean)**3) / std**3\\n\\n # compute the left and right areas under the absolute curve\\n max_width = abs_cf[lags != 0].sum()*dt\\n right_width = abs_cf[lags > 0].sum()*dt\\n left_width = abs_cf[lags < 0].sum()*dt\\n\\n # create a measure of anisotropy from the AUCs\\n anisotropy = (right_width - left_width) / max_width\\n \\n li = lags < 0\\n ri = lags > 0\\n\\n # determine the mean lag time, i.e. the lag \\\"center of mass\\\". do this for each half\\n cfl = np.abs(cf[li]) / np.abs(cf[li]).sum()\\n left_lag = np.sum(cfl*lags[li])\\n cfr = np.abs(cf[ri]) / np.abs(cf[ri]).sum()\\n right_lag = np.sum(cfr*lags[ri])\\n\\n # integrate the right and left sides independently\\n dl = np.diff(lags).max()\\n left_sum = cf[li].sum()*dl\\n right_sum = cf[ri].sum()*dl\\n\\n # take the correlation coefficient at zero lag\\n cc = cf[lags == 0][0]\\n\\n if plot:\\n plt.figure()\\n plt.axhline(0, c='k')\\n plt.plot(lags, cf, 'r-', linewidth=3)\\n plt.axvline(peak_delay, c='g', alpha=0.75)\\n plt.ylim(-1, 1)\\n plt.axis('tight')\\n t = 'width=%0.1f, mean=%0.1f, std=%0.1f, skew=%0.1f, anisotropy=%0.2f' % (cf_width, mean, std, skew, anisotropy)\\n plt.title(t)\\n plt.show()\\n\\n return {'magnitude':peak_magnitude, 'delay':peak_delay, 'width':cf_width,\\n 'mean':mean, 'std':std, 'skew':skew, 'anisotropy':anisotropy,\\n 'left_lag':left_lag, 'right_lag':right_lag, 'left_sum':left_sum, 'right_sum':right_sum, 'cc':cc}\",\n \"def calcfeat_delta_delta(signal, samplerate=16000, win_length=0.025, win_step=0.01, filters_num=26, NFFT=512,\\n\\t\\t\\t\\t\\t\\t low_freq=0, high_freq=None, pre_emphasis_coeff=0.97, cep_lifter=22, appendEnergy=True,\\n\\t\\t\\t\\t\\t\\t mode='mfcc', feature_len=13):\\n\\tfilters_num = 2 * feature_len\\n\\tfeat = calcMFCC(signal, samplerate, win_length, win_step, feature_len, filters_num, NFFT, low_freq, high_freq,\\n\\t\\t\\t\\t\\tpre_emphasis_coeff, cep_lifter, appendEnergy, mode=mode) # 首先获取13个一般MFCC系数\\n\\tfeat_delta = delta(feat)\\n\\tfeat_delta_delta = delta(feat_delta)\\n\\n\\tresult = numpy.concatenate((feat, feat_delta, feat_delta_delta), axis=1)\\n\\treturn result\",\n \"def forward_fft(self, array_in):\\r\\n # Find side length, as real array may or may not be doubled for\\r\\n # aliasing control\\r\\n side = array_in.shape[0]\\r\\n div_side = 1.0/side**2\\r\\n\\r\\n out = np.fft.fft2(self.sign_mat[0:side, 0:side]*array_in)*div_side\\r\\n return out\",\n \"def _real_2_frequency(self, kernel):\\n return self.basis._fftn(np.fft.ifftshift(kernel,\\n axes=self.basis._axes))\",\n \"def increaseFreq(self, desHz):\\n from scipy.interpolate import interp1d\\n import time\\n from numpy import linspace, floor\\n from decimal import getcontext, Decimal\\n\\n if desHz > 1000: # set max freq here \\n raise ValueError('Max Frequency is 1000 (3 decimal places)')\\n now = time.asctime(time.localtime(time.time())) \\n stamp = ''.join(['%% The following created by alog_manip.MOOSalog.MOOSalog.increaseFreq\\\\n%% ', now])\\n increase_msg = ''.join(['%% Resultant Frequency: ',str(desHz),' Hz'])\\n # hiHz = {}\\n self.outData = {} # erase pre-existing dict\\n self.outData['header'] = [stamp,increase_msg,'%%%%'] + self.srcData['header']\\n\\n def create_msgs():\\n \\\"\\\"\\\" Puts interpolated data into dict outData\\n Primary interpolation function for increaseFreq\\n Consider using uniaxial spline --> would have one function for all of dictionary dat\\n \\\"\\\"\\\"\\n getcontext().prec = 3 # will round to 3 decimal places\\n orig_times = sorted(dat)\\n for n in range(len(dat) - 1):\\n linfun = interp1d([orig_times[n], orig_times[n+1]], \\\\\\n [dat[orig_times[n]], dat[orig_times[n+1]]])\\n dt = orig_times[n+1] - orig_times[n] # current\\n freq = 1/dt # current\\n if dt < (1/desHz):\\n print('found instance where Freq already at/above desired Freq')\\n else:\\n new_dt = dt*freq/desHz\\n new_times = linspace(orig_times[n],orig_times[n+1],floor(dt/new_dt))\\n # print(new_times)\\n new_values = linfun(new_times)\\n # rounded_values = [float(Decimal(\\\"%.3f\\\" % e)) for e in new_values]\\n rounded_times = [float(Decimal(\\\"%.3f\\\" % e)) for e in new_times]\\n for m in range(len(rounded_times)):\\n # this_time = int(new_times[m]*100000)/100000 # 5 decimal places in timstamp\\n self.outData[sens][meas][rounded_times[m]] = new_values[m]\\n\\n ## go thru and pull out dictionaries {time: value} then send to interpolation func\\n for sens in self.srcData:\\n if sens is not 'header':\\n self.outData[sens] = {}\\n for meas in self.srcData[sens]:\\n self.outData[sens][meas] = {}\\n dat = self.srcData[sens][meas]\\n if len(dat) == 1:\\n self.outData[sens][meas] = dat # only 1 data point, no interp\\n else:\\n create_msgs()\",\n \"def getFourierPower(data, freq=None, ax=1, t=None):\\n\\n if t==None:\\n t = numpy.linspace(0.0,1.0,64)\\n Fs = 1.0/t[1] \\n L = t.shape[0]\\n ft = numpy.fft.fft(data,axis=ax)\\n freqs = numpy.fft.fftfreq(64,1.0/64.0)\\n ftAmp = abs(ft)/data.shape[1]*2\\n ftPhase = numpy.arctan2(ft.real, ft.imag)\\n if freq==None:\\n ii = numpy.argmax(abs(ft[:,1:])**2.0,axis=1)\\n ii += 1\\n else:\\n fr = numpy.asarray([freq])\\n fr = fr.flatten()\\n ii = numpy.ones(fr.shape)\\n for kk in range(0,fr.shape[0]):\\n ii[kk] = numpy.argmin(abs(freqs-fr[kk]))\\n \\n jj = numpy.arange(0,ftAmp.shape[0])\\n amp = ftAmp[jj,ii.astype('int')]\\n phase = ftPhase[jj,ii.astype('int')]\\n else:\\n Fs = 1.0/t[1]\\n L = t.shape[0]\\n ft = numpy.fft.fft(data,n=NFFT,axis=ax)[1:]/L#skip the DC\\n ftAmp = abs(ft)/len(t)*2\\n ftPhase = numpy.arctan2(ft.real, ft.imag)\\n if freq==None:\\n ii = argmax(abs(ft)**2.0,0)\\n else: \\n ii = freq-1\\n \\n amp = ftAmp[:,ii]\\n phase = ftPhase[:,ii]\\n return amp, phase, ii\",\n \"def temporal_filter(fc, L, srt, PASS = [2,3]):\\n if issubclass(type(fc), str):\\n fc = float(fc)\\n t = np.arange(L).astype(np.float32)/srt\\n k = t*fc\\n h = np.sin(2*np.pi*k) * k**2 * np.exp(-3.5*k) * fc\\n\\n h = h-np.mean(h)\\n H0 = np.fft.fft(h, n=2*L)\\n A = np.angle(H0[0:L])\\n H = np.abs(H0[0:L])\\n maxi = np.argmax(H)\\n H = H / (H[maxi] or 1)\\n\\n # passband\\n if PASS[0] == 1:\\n #low pass\\n H[0:maxi] = 1\\n elif PASS[0] == PASS[1]:\\n #high pass\\n H[maxi+1:L] = 1\\n\\n H = H * np.exp(1j*A)\\n return H\",\n \"def wvd(fx,nh=2**8-1,tstep=2**5,nfbins=2**10,df=1.0):\\r\\n \\r\\n if type(fx) is list:\\r\\n fx=np.array(fx)\\r\\n try:\\r\\n fn,fm=fx.shape\\r\\n if fm>fn:\\r\\n fm,fn=fx.shape\\r\\n except ValueError:\\r\\n fn=len(fx)\\r\\n fm=1\\r\\n if fm>1:\\r\\n fn=fn[0]\\r\\n print 'computing cross spectra'\\r\\n #compute the analytic signal of function f and dctrend\\r\\n fa=sps.hilbert(dctrend(fx[0]))\\r\\n fb=sps.hilbert(dctrend(fx[1]))\\r\\n fa=fa.reshape(fn)\\r\\n fb=fb.reshape(fn)\\r\\n else:\\r\\n #compute the analytic signal of function f and dctrend\\r\\n fa=sps.hilbert(dctrend(fx))\\r\\n fa=fa.reshape(fn)\\r\\n fb=fa.copy()\\r\\n \\r\\n #sampling period\\r\\n df=float(df)\\r\\n dt=1./df\\r\\n tau=(nh-1)/2\\r\\n \\r\\n #create a time array such that the first point is centered on time window\\r\\n tlst=np.arange(start=0,stop=fn-1,step=tstep,dtype='int')\\r\\n \\r\\n #create an empty array to put the tf in \\r\\n tfarray=np.zeros((nfbins,len(tlst)),dtype='complex128')\\r\\n \\r\\n #create a frequency array with just positive frequencies\\r\\n flst=np.fft.fftfreq(nfbins,dt)[0:nfbins/2]\\r\\n \\r\\n #calculate pseudo WV\\r\\n for point,nn in enumerate(tlst):\\r\\n #calculate the smallest timeshift possible\\r\\n taun=min(nn,tau,fn-nn-1)\\r\\n #make a timeshift array\\r\\n taulst=np.arange(start=-taun,stop=taun+1,step=1,dtype='int')\\r\\n #calculate rectangular windowed correlation function of analytic signal\\r\\n Rnn=4*np.conjugate(fa[nn-taulst])*fb[nn+taulst] \\r\\n #calculate fft of windowed correlation function\\r\\n FTRnn=np.fft.fft(padzeros(Rnn,npad=nfbins))\\r\\n #put into tfarray\\r\\n tfarray[:,point]=FTRnn[::-1]\\r\\n \\r\\n #normalize\\r\\n tfarray=tfarray/nh\\r\\n \\r\\n return tfarray,tlst,flst\",\n \"def fft(signal):\\r\\n if signal.size == 1:\\r\\n return signal\\r\\n\\r\\n even_part = fft(signal[::2]) # Only grab even elements\\r\\n odd_part = fft(signal[1::2]) # Only grab odd elements\\r\\n\\r\\n factor = np.exp(-2j * np.pi * np.arange(signal.size) / signal.size)\\r\\n return np.concatenate([even_part + factor[:int(signal.size / 2)] * odd_part,\\r\\n even_part + factor[int(signal.size / 2):] * odd_part])\",\n \"def fourierCV(img):\\n\\tgray = grayscale(img)\\n\\tdft = cv2.dft(np.float32(gray), flags = cv2.DFT_COMPLEX_OUTPUT)\\n\\tdft_shift = np.fft.fftshift(dft)\\n\\tmagnitude_spectrum = 20*np.log(cv2.magnitude(dft_shift[:,:,0], dft_shift[:,:,1]))\\n return magnitude_spectrum\",\n \"def signal_spectral(signal, FS):\\n # check inputs\\n if signal is None or signal == []:\\n print(\\\"Signal is empty.\\\")\\n\\n # ensure numpy\\n signal = np.array(signal)\\n # f, spectrum = st.welch_spectrum(signal, sampling_rate=FS)\\n spectrum = np.fft.fft(signal, FS)[:len(signal)//2]\\n f = np.fft.fftfreq(len(signal))[:len(signal)//2]\\n\\n cum_ff = np.cumsum(spectrum)\\n spect_diff = np.diff(spectrum)\\n #energy, _ = st.signal_energy(spectrum, f)[:]\\n\\n args, names = [], []\\n\\n if dict['spectral_maxpeaks']['use'] == 'yes':\\n # spectral_maxpeaks\\n try:\\n spectral_maxpeaks = np.sum([1 for nd in range(len(spect_diff[:-1])) if (spect_diff[nd+1]<0 and spect_diff[nd]>0)])\\n except:\\n spectral_maxpeaks = None\\n args += [spectral_maxpeaks]\\n names += ['spectral_maxpeaks']\\n\\n # if dict['spect_var']['use'] == 'yes':\\n # # spect_variation\\n # try:\\n # spect_var = np.convolve(energy)\\n # spect_var /= np.max(np.abs(spect_var))\\n # except:\\n # spect_var = None\\n # args += [spect_var]\\n # names += ['spect_var']\\n\\n if dict['curve_distance']['use'] == 'yes':\\n # curve_distance\\n try:\\n curve_distance = np.sum(np.linspace(0, cum_ff[-1], len(cum_ff)) - cum_ff)\\n except:\\n curve_distance = None\\n args += [curve_distance]\\n names += ['curve_distance']\\n\\n if dict['spectral_roll_off']['use'] == 'yes':\\n # spectral_roll_off\\n try:\\n spectral_roll_off = spectral_roll(f, spectrum, cum_ff, 0.95)[0]\\n except:\\n spectral_roll_off = None\\n args += [spectral_roll_off]\\n names += ['spectral_roll_off']\\n\\n if dict['spectral_roll_on']['use'] == 'yes':\\n # spectral_roll_on\\n try:\\n spectral_roll_on = spectral_roll(f, spectrum, cum_ff, 0.05)[0]\\n except:\\n spectral_roll_on = None\\n args += [spectral_roll_on]\\n names += ['spectral_roll_on']\\n\\n if dict['spectral_dec']['use'] == 'yes':\\n # spectral_decrease\\n try:\\n spectral_dec = (1/np.sum(spectrum)) * np.sum((spectrum[:] - spectrum[1])/np.linspace(1, len(spectrum), len(spectrum),1))\\n except:\\n spectral_dec = None\\n args += [spectral_dec]\\n names += ['spectral_dec']\\n\\n if dict['spectral_slope']['use'] == 'yes':\\n # spectral_slope\\n sum_f = np.sum(f)\\n len_f = len(f)\\n try:\\n spectral_slope = (len_f * np.dot(f, spectrum) - sum_f * np.sum(spectrum)) / (len_f * np.dot(f, f) - sum_f ** 2)\\n except:\\n spectral_slope = None\\n args += [spectral_slope]\\n names += ['spectral_slope']\\n\\n sum_spectrum = np.sum(spectrum)\\n norm_spectrum = spectrum / sum_spectrum\\n # spectral_centroid\\n try:\\n spectral_centroid = np.dot(f, norm_spectrum)\\n except:\\n spectral_centroid = None\\n\\n # spectral_spread\\n try:\\n spectral_spread = np.dot(((f - spectral_centroid) ** 2), norm_spectrum)\\n except:\\n spectral_spread = None\\n\\n if dict['spectral_spread']['use'] == 'yes':\\n args += [spectral_spread]\\n names += ['spectral_spread']\\n\\n if dict['spectral_kurtosis']['use'] == 'yes':\\n # spectral_kurtosis\\n try:\\n spectral_kurtosis = np.sum(((f - spectral_centroid) ** 4) * norm_spectrum) / (spectral_spread**2)\\n except:\\n spectral_kurtosis = None\\n args += [spectral_kurtosis]\\n names += ['spectral_kurtosis']\\n\\n if dict['spectral_skewness']['use'] == 'yes':\\n # spectral_skewness\\n try:\\n spectral_skewness = np.sum(((f - spectral_centroid) ** 3) * norm_spectrum) / (spectral_spread ** (3 / 2))\\n except:\\n spectral_skewness = None\\n args += [spectral_skewness]\\n names += ['spectral_skewness']\\n\\n if dict['max_frequency']['use'] == 'yes':\\n # max_frequency\\n try:\\n max_frequency = f[np.where(cum_ff > cum_ff[-1]*0.95)[0][0]]\\n except:\\n max_frequency = None\\n args += [max_frequency]\\n names += ['max_frequency']\\n\\n if dict['fundamental_frequency']['use'] == 'yes':\\n # fundamental_frequency\\n try:\\n fundamental_frequency = f[np.where(cum_ff > cum_ff[-1]*0.5)[0][0]]\\n except:\\n fundamental_frequency = None\\n args += [fundamental_frequency]\\n names += ['fundamental_frequency']\\n\\n # if dict['max_power_spectrum']['use'] == 'yes':\\n # # max_power_spectrum\\n # try:\\n # max_power_spectrum = np.max(spectrum)\\n # except:\\n # max_power_spectrum = None\\n # args += max_power_spectrum\\n # names += 'max_power_spectrum'\\n\\n # if dict['mean_power_spectrum']['use'] == 'yes':\\n # # mean_power_spectrum\\n # try:\\n # mean_power_spectrum = np.mean(spectrum)\\n # except:\\n # mean_power_spectrum = None\\n # args += mean_power_spectrum\\n # names += 'mean_power_spectrum'\\n #\\n # if dict['spectral_skewness']['use'] == 'yes':\\n # try:\\n # spectral_skewness = np.mean(spectrum)\\n # except:\\n # spectral_skewness = None\\n # args += spectral_skewness\\n # names += 'spectral_skewness'\\n #\\n # if dict['spectral_kurtosis']['use'] == 'yes':\\n # try:\\n # spectral_kurtosis = np.mean(spectrum)\\n # except:\\n # spectral_kurtosis = None\\n # args += spectral_kurtosis\\n # names += 'spectral_kurtosis'\\n\\n # if dict['spectral_hist_']['use'] == 'yes':\\n # # histogram\\n # try:\\n # _hist = list(np.histogram(spectrum, bins=int(np.sqrt(len(spectrum))), density=True)[0])\\n # except:\\n # if len(signal) > 1:\\n # _hist = [None] * int(np.sqrt(len(signal)))\\n # else:\\n # _hist = [None]\\n # args += [i for i in _hist]\\n # names += ['spectral_hist_' + str(i) for i in range(len(_hist))]\\n\\n #return utils.ReturnTuple(tuple(args), tuple(names))\\n return args, names\",\n \"def sdct(signal, frame_length, frame_step, window=\\\"hamming\\\"):\\n framed = librosa.util.frame(signal, frame_length, frame_step)\\n if window is not None:\\n window = librosa.filters.get_window(window, frame_length, fftbins=True).astype(\\n signal.dtype\\n )\\n framed = framed * window[:, np.newaxis]\\n return scipy.fft.dct(framed, norm=\\\"ortho\\\", axis=-2)\",\n \"def freq_from_crossings(wfmtime, sig, fs):\\n from scipy import signal\\n import matplotlib.pyplot as plt\\n\\n # FILTER THE WAVEFORM WITH LOWPASS BUTTERWORTH FILTER\\n # todo: revisit the wn calculation to be sure it works for multiple sampling rates\\n wn = (2*math.pi*60)/fs #Wn is normalized from 0 to 1, where 1 is the Nyquist frequency, pi radians/sample\\n b, a = signal.butter(4, wn, analog=False)\\n sig_ff = signal.filtfilt(b, a, sig)\\n\\n #check the frequency response\\n '''\\n w, h = signal.freqs(b, a)\\n plt.plot(w, 20 * np.log10(abs(h)))\\n plt.xscale('log')\\n plt.title('Butterworth filter frequency response')\\n plt.xlabel('Frequency [radians / second]')\\n plt.ylabel('Amplitude [dB]')\\n plt.margins(0, 0.1)\\n plt.grid(which='both', axis='both')\\n plt.show()\\n '''\\n\\n # Find the zero crossings of the filtered data\\n # Linear interpolation to find truer zero crossings\\n\\n indices = find(logical_and(sig_ff[1:] >= 0., sig_ff[:-1] < 0.))\\n crossings = [i - sig_ff[i] / (sig_ff[i+1] - sig_ff[i]) for i in indices] #interpolate\\n cross_times = wfmtime[0] + np.array(crossings)/fs\\n\\n '''\\n plt.plot(wfmtime, sig, color='red', label='Original')\\n plt.plot(wfmtime, sig_ff, color='blue', label='filtered data')\\n plt.plot(cross_times, np.zeros(len(cross_times)), 'ro', label='Zero Crossings')\\n plt.legend()\\n plt.grid(which='both', axis='both')\\n plt.axis([0, 5/60, min(sig)/2, max(sig)/2])\\n plt.show()\\n '''\\n\\n time_steps = diff(crossings)\\n avg_freq = fs / average(time_steps)\\n freqs = [fs/time_steps[i] for i in xrange(0, len(cross_times)-1)] #interpolate\\n freq_times = [(cross_times[i]+cross_times[i+1])/2 for i in xrange(0, len(freqs)-1)] #interpolate\\n\\n plt.plot(wfmtime, sig, color='red', label='Original')\\n plt.plot(wfmtime, sig_ff, color='blue', label='Filtered data')\\n plt.plot(freq_times, freqs[:-1], 'g', label='Frequency')\\n plt.legend(loc=4)\\n plt.grid(which='both', axis='both')\\n plt.axis([0, freq_times[-1], 50, 61])\\n plt.show()\\n\\n return avg_freq, freqs\",\n \"def FFT(y, t):\\n dt = t[2] - t[1]\\n Fs = 1.0 / dt\\n L = len(y)\\n Y = fft(y, L) * dt # dt should mathematically be included in the result!\\n #amp=abs(Y)/(L/2) #FFT single sided spectrum\\n amp = abs(Y) #or simply take the amplitude only?\\n T = L * dt #1/T=Fs/L\\n freq = np.arange(0, Fs / 2, 1 / T) # list frequencies up to Nyquist frequency\\n # resize result vectors to match their lengths\\n if len(freq) < len(amp):\\n amp = amp[0:len(freq)] # make both vectors the same size\\n elif len(amp) < len(freq):\\n freq = freq[0:len(amp)]\\n return freq, amp\",\n \"def autocorrelation(x):\\n x = np.asarray(x)\\n N = len(x)\\n x = x-x.mean()\\n s = fft.fft(x, N*2-1)\\n result = np.real(fft.ifft(s * np.conjugate(s), N*2-1))\\n result = result[:N]\\n result /= result[0]\\n return result\",\n \"def calculate_magnitudes(data, frame_count, nb_channels):\\n if nb_channels == 2: # Strip every other sample point to keep only one channel\\n data = np.array(struct.unpack('{n}h'.format(n=nb_channels * frame_count), data))[::2]\\n else:\\n data = np.array(struct.unpack('{n}h'.format(n=nb_channels * frame_count), data))\\n \\n windowed_data = np.multiply(data, np.hanning(len(data)))\\n \\n # Calculate the Fourier Transform coefficients\\n dft_array = cv2.dft(np.float32(windowed_data))\\n\\n # Return the power in each frequency\\n magnitudes = np.add(np.sqrt((dft_array*dft_array).sum(axis=1)), 10)\\n log_mag = np.log10(magnitudes)\\n return log_mag\",\n \"def __init__(self, wavefunctions, dt=1., threshold=1e-3, **kwargs):\\n\\n wavefunctions = np.array(wavefunctions, copy=True)\\n\\n # normalize the wavefunction over the first axis (basis)\\n wavefunctions /= linalg.norm(wavefunctions, axis=1)[:, np.newaxis]\\n\\n # calculate the alternating sequence of signs for iFFT autocorrelation function\\n k = np.arange(wavefunctions.shape[0])\\n minus = (-1) ** k[:, np.newaxis]\\n\\n # energy axis (as prescribed by Method 1 for calculating Fourier transform\\n energy_range = (k - k.size / 2) * np.pi / (0.5 * dt * k.size)\\n\\n # the windowed fft of the wave function with respect to the time axis\\n wavefunctions_fft_w = fftpack.ifft(\\n minus * wavefunctions * blackman(k.size)[:, np.newaxis],\\n axis=0,\\n overwrite_x=True\\n )\\n wavefunctions_fft_w *= minus\\n\\n\\n weight = linalg.norm(wavefunctions_fft_w, axis=1)\\n weight /= weight.max()\\n\\n # extract peaks in weight to get the eigen energies\\n peaks, _ = find_peaks(weight, height=threshold, **kwargs)\\n #peaks = np.nonzero(weight > threshold)\\n\\n # the eigenvalues of the Hamiltonian\\n energies = energy_range[peaks]\\n\\n self.weight = weight\\n self.energy_range = energy_range\\n\\n \\\"\\\"\\\"\\n #############################################################################################\\n\\n\\n # normalize the auto correlation function\\n auto_corr_fft_w /= auto_corr_fft_w.max()\\n\\n # extract peaks in the auto correlation function to get the eigen energies\\n peaks, _ = find_peaks(auto_corr_fft_w, height=threshold, **kwargs)\\n\\n # the eigenvalues of the Hamiltonian\\n energies = energy_range[peaks]\\n\\n #############################################################################################\\n\\n # calculate the alternating sequence of signs for iFFT wavefunction\\n minus = (-1) ** k[:, np.newaxis]\\n\\n wavefunctions_fft_w = fftpack.ifft(\\n minus * wavefunctions * blackman(k.size)[:, np.newaxis],\\n axis=0,\\n overwrite_x=True\\n )\\n wavefunctions_fft_w *= minus\\n \\\"\\\"\\\"\\n\\n # extract the eigenfunctions of the unknown hamiltonian\\n eigenvects = wavefunctions_fft_w[peaks]\\n\\n # normalize the eigenfunctions\\n eigenvects /= linalg.norm(eigenvects, axis=1)[:, np.newaxis]\\n\\n # remove the numerical noise by orthogonalizing the extracted basis\\n # This is a numerically stable version of the Gramm Schmidt\\n eigenvects, _ = linalg.qr(eigenvects.T, mode='economic', overwrite_a=True)\\n eigenvects = eigenvects.T\\n\\n # saving the results of recovering\\n self.energies = energies\\n self.eigenvects = eigenvects\\n\\n # save the initial condition\\n self.init_wavefunc = wavefunctions[0].copy()\",\n \"def calc_sadiff(sig):\\n\\n return np.sum(abs(np.diff(sig)))\",\n \"def fdsb(self, signal: np.ndarray, **kwargs) -> np.ndarray:\\n\\t\\tdelays = kwargs.get(\\\"delays\\\", self.freq_delays)\\n\\t\\tbatch_size = kwargs.get(\\\"batch_size\\\", 1)\\n\\n\\t\\tSignal = np.fft.fft(signal, axis=0)[:self.num_samples // 2,:,None,None]\\n\\n\\t\\tconv_signal = np.empty((self.num_samples // 2, delays.shape[1], \\n\\t\\t\\t\\t\\t\\t\\tdelays.shape[2] , delays.shape[3]))\\n\\n\\t\\t# For signals with many samples, a bigger batch size\\n\\t\\t# can speed up the algorithm and prevent memory errors\\n\\t\\tps = self.phi.shape[1]\\n\\t\\tlength = int(np.ceil(ps/batch_size))\\n\\t\\t\\n\\t\\tfor b in range(batch_size):\\n\\t\\t\\tconv_signal[...,b*length:b*length+length] = (np.fft.ifft(\\n\\t\\t\\t\\tSignal * delays[...,b*length:b*length+length], \\n\\t\\t\\t\\taxis=0)).real\\n\\n\\t\\tsquared_conv = ((conv_signal.sum(1)) ** 2).sum(0)\\n\\n\\t\\treturn squared_conv\",\n \"def in_freq(self):\\n if self._in_freq is None:\\n self._in_freq = np.fft.rfft(self._in_time)\\n return self._in_freq\",\n \"def source_adj_gsdf(gmdata_sim,gmdata_obs,IsolationFilter,num_pts,dt): \\n t = np.arange(num_pts)*dt\\n ts=np.flip(-t[1:], axis=0)\\n lTime = np.concatenate((ts,t), axis=0)#Lag time \\n \\n #convolve the waveforms for the cross- and auto-correlagrams \\n cross = np.correlate(IsolationFilter,gmdata_obs,'full')\\n auto = np.correlate(IsolationFilter,gmdata_sim,'full') \\n \\n #GSDF Parameters \\n w0=2*np.pi/(lTime[-1]) \\n# wN=2*np.pi/(2*dt)\\n# w(:,1)=-wN:w0:wN\\n wf=w0*np.linspace(-int(num_pts/2),int(num_pts/2),num_pts) \\n fi = [0.05, 0.075, 0.1]\\n# fi = [0.02, 0.03, 0.04, 0.05]\\n# fi = [0.05, 0.075, 0.1, 0.125, 0.15, 0.175, 0.2]\\n Tw = 2/np.mean(fi) # Effective window\\n# sw = 2*np.pi*0.72/Tw; # Sigma w ~ 0.2827433388230814\\n sw=0.1 \\n \\n# #% A local maximum will be selected closest to 0-lag\\n# I_O=np.argmax(cross)\\n# I_S=np.argmax(auto) \\n\\n I_O, peaks_O = find_peaks(np.abs(hilbert(cross))/np.max(np.abs(hilbert(cross))), height=0.25)\\n I_S, peaks_S = find_peaks(np.abs(hilbert(auto))/np.max(np.abs(hilbert(auto))), height=0.25)\\n\\n PkO = peaks_O.get(\\\"peak_heights\\\", \\\"\\\")\\n PkS = peaks_S.get(\\\"peak_heights\\\", \\\"\\\")\\n\\n if (I_O==[] or I_S==[]):\\n I_O=np.argmax(cross)\\n I_S=np.argmax(auto)\\n else:\\n I_O_min = np.argmin(np.multiply((1+np.abs(lTime[I_O]))**2,np.abs(1-PkO)))\\n I_O = I_O[I_O_min]\\n\\n I_S_min = np.argmin(np.multiply((1+np.abs(lTime[I_S]))**2,np.abs(1-PkS)))\\n I_S = I_S[I_S_min]\\n \\n ##Windowing\\n win1=np.exp(-(0.5*sw**2)*(lTime-lTime[I_O])**2)\\n win2=np.exp(-(0.5*sw**2)*(lTime-lTime[I_S])**2) \\n \\n #\\n WO = np.multiply(win1,cross)\\n WS = np.multiply(win2,auto)\\n WS = WS*np.max(WO)/np.max(WS) #Normalized window by amplitude\\n #% Parameters for \\\"bootstraping\\\"\\n InOR=np.argmax(WO)\\n InSR=np.argmax(WS) \\n \\n #% Isolation filter FFT for perturbation kernel\\n tff=np.conj(fftshift(fft(IsolationFilter)))*1/num_pts \\n \\n adj_sim_decompose = np.zeros((len(fi),num_pts))\\n adj_sim_sum = np.zeros(num_pts)\\n TauP_arr = np.zeros(len(fi)) \\n \\n ne = int(np.min([2/np.min(fi)/dt,num_pts/2])) #% Effective bandwidth for inversion\\n \\n for i in range(0,len(fi)): \\n si = 0.1*fi[i]\\n #Crosscorrelagram and Autocorrelagram filtering\\n dO=computebandfftfilter_gauss(WO,dt,fi[i],si,lTime);\\n dS=computebandfftfilter_gauss(WS,dt,fi[i],si,lTime); \\n \\n # % Check bootstraping\\n InO=np.argmax(np.real(dO))\\n InS=np.argmax(np.real(dS)) \\n \\n BS = 1; Cn = 0;\\n while BS == 1 or Cn < 10:\\n InO=int(InO)\\n if (lTime[InO] < lTime[InOR]+0.51/fi[i]) and (lTime[InO] >= lTime[InOR]-0.51/fi[i]):\\n BS = 0\\n elif (lTime[InO] >= (lTime[InOR]+0.45/fi[i])):\\n InO=InO-np.round(1/fi[i]/dt)\\n elif (lTime[InO] < lTime[InOR]-0.45/fi[i]):\\n InO=InO+np.round(1/fi[i]/dt)\\n Cn = Cn+1\\n \\n BS = 1; Cn = 0;\\n while BS == 1 or Cn < 10:\\n InS=int(InS) \\n if (lTime[InS] < lTime[InSR]+0.51/fi[i]) and (lTime[InS] >= lTime[InSR]-0.51/fi[i]):\\n BS = 0\\n elif (lTime[InS] >= (lTime[InSR]+0.45/fi[i])):\\n InS=InS-np.round(1/fi[i]/dt)\\n elif (lTime[InS] < lTime[InSR]-0.45/fi[i]):\\n InS=InS+np.round(1/fi[i]/dt)\\n Cn = Cn+1 \\n\\n # Five parameter Gaussian wavelet fitting \\n Ao = np.max(envelope(np.real(dO))); Io = np.argmax(envelope(np.real(dO)));\\n As = np.max(envelope(np.real(dS))); Is = np.argmax(envelope(np.real(dS))); \\n ##Constrain the initial values \\n # Parameters for curve_fit\\n wi=2*np.pi*fi[i] \\n \\n try:\\n GaO, params_covariance = curve_fit(Eqn, lTime[Io-ne-1:Io+ne], np.real(dO[Io-ne-1:Io+ne]))\\n GaS, params_covariance = curve_fit(Eqn, lTime[Is-ne-1:Is+ne], np.real(dS[Is-ne-1:Is+ne])) \\n except:\\n GaO = [Ao, 2*np.pi*si, lTime[Io], 2*np.pi*fi[i], lTime[InO]]\\n GaS = [As, 2*np.pi*si, lTime[Is], 2*np.pi*fi[i], lTime[InS]] \\n\\n# GaO, params_covariance = curve_fit(Eqn, lTime[Io-ne-1:Io+ne], np.real(dO[Io-ne-1:Io+ne]),bounds=(0,[Ao, 2*np.pi*si, lTime[Io], 2*np.pi*fi[i], lTime[InO]]))\\n# GaS, params_covariance = curve_fit(Eqn, lTime[Is-ne-1:Is+ne], np.real(dS[Is-ne-1:Is+ne]),bounds=(0,[As, 2*np.pi*si, lTime[Is], 2*np.pi*fi[i], lTime[InS]])) \\n \\n# % Check fitting\\n if ((GaO[0]/GaS[0]) > 10**5) or np.abs(GaO[4]-GaS[4]) > lTime[-1]/2:\\n GaO = [Ao, 2*np.pi*si, lTime[Io], 2*np.pi*fi[i], lTime[InO]]\\n GaS = [As, 2*np.pi*si, lTime[Is], 2*np.pi*fi[i], lTime[InS]] \\n \\n wP=((si**2)*wf+(sw**2)*wi)/(sw**2+si**2)\\n wPP=((si**2)*wf-(sw**2)*wi)/(sw**2+si**2)\\n siP=((si**2)*(sw**2)/(sw**2+si**2))**0.5 \\n #Estimate waveform perturbation kernel (WPK)\\n IW=(siP/(sw*GaS[0]))*np.multiply(np.exp(-0.5*(wf-2*np.pi*fi[i])**2/(sw**2+si**2)),np.divide(tff,wP))+\\\\\\n (siP/(sw*GaS[0]))*np.exp(-0.5*(wf+2*np.pi*fi[i])**2/(sw**2+si**2))*tff/wPP\\n \\n IW[0:int(len(IW)/2)]=0*IW[0:int(len(IW)/2)]\\n \\n itff = ifft(fftshift(num_pts*IW)) \\n \\n #Save the GSDF measurements\\n TauP_arr[i] = GaO[4]-GaS[4]; #% delta_P\\n \\n# Jp = np.real(itff)\\n# Jp = np.imag(itff)\\n Jp = -np.imag(itff) \\n adj_sim_decompose[i,:] = np.flip(Jp,axis=0)*TauP_arr[i] \\n \\n #if i>0:\\n adj_sim_sum = adj_sim_sum + adj_sim_decompose[i,:] \\n \\n return adj_sim_sum, TauP_arr\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.6763134","0.6559883","0.6400544","0.6346103","0.6291018","0.62314177","0.6180077","0.6164072","0.6131286","0.61223423","0.6004857","0.60042465","0.5987924","0.5978381","0.5971407","0.59468603","0.5940557","0.5932638","0.59309757","0.5929165","0.5924323","0.58836347","0.58578193","0.5853043","0.584155","0.58350664","0.58301806","0.5819684","0.5781086","0.57800496","0.5766302","0.57621235","0.576208","0.5758782","0.5755978","0.5750112","0.57448816","0.57146627","0.5705902","0.56944925","0.56910455","0.5686317","0.56823224","0.5680128","0.5678917","0.5673661","0.5664816","0.56546086","0.5644893","0.56427616","0.5642007","0.563233","0.5622887","0.5616226","0.56010324","0.5599712","0.55944455","0.55859447","0.55831444","0.55790865","0.55628335","0.5562407","0.55593866","0.55593866","0.5554482","0.5554369","0.5551245","0.5550975","0.55505306","0.55486745","0.5547508","0.55441844","0.55428153","0.5541155","0.5538851","0.55318713","0.5528228","0.55280674","0.5525738","0.5525344","0.5523086","0.5520132","0.55173177","0.5516439","0.55100834","0.55083394","0.5502854","0.5501623","0.54839724","0.54797935","0.54788154","0.5474533","0.5473084","0.5465412","0.5460465","0.54549116","0.54449075","0.54334825","0.5428694","0.5425578"],"string":"[\n \"0.6763134\",\n \"0.6559883\",\n \"0.6400544\",\n \"0.6346103\",\n \"0.6291018\",\n \"0.62314177\",\n \"0.6180077\",\n \"0.6164072\",\n \"0.6131286\",\n \"0.61223423\",\n \"0.6004857\",\n \"0.60042465\",\n \"0.5987924\",\n \"0.5978381\",\n \"0.5971407\",\n \"0.59468603\",\n \"0.5940557\",\n \"0.5932638\",\n \"0.59309757\",\n \"0.5929165\",\n \"0.5924323\",\n \"0.58836347\",\n \"0.58578193\",\n \"0.5853043\",\n \"0.584155\",\n \"0.58350664\",\n \"0.58301806\",\n \"0.5819684\",\n \"0.5781086\",\n \"0.57800496\",\n \"0.5766302\",\n \"0.57621235\",\n \"0.576208\",\n \"0.5758782\",\n \"0.5755978\",\n \"0.5750112\",\n \"0.57448816\",\n \"0.57146627\",\n \"0.5705902\",\n \"0.56944925\",\n \"0.56910455\",\n \"0.5686317\",\n \"0.56823224\",\n \"0.5680128\",\n \"0.5678917\",\n \"0.5673661\",\n \"0.5664816\",\n \"0.56546086\",\n \"0.5644893\",\n \"0.56427616\",\n \"0.5642007\",\n \"0.563233\",\n \"0.5622887\",\n \"0.5616226\",\n \"0.56010324\",\n \"0.5599712\",\n \"0.55944455\",\n \"0.55859447\",\n \"0.55831444\",\n \"0.55790865\",\n \"0.55628335\",\n \"0.5562407\",\n \"0.55593866\",\n \"0.55593866\",\n \"0.5554482\",\n \"0.5554369\",\n \"0.5551245\",\n \"0.5550975\",\n \"0.55505306\",\n \"0.55486745\",\n \"0.5547508\",\n \"0.55441844\",\n \"0.55428153\",\n \"0.5541155\",\n \"0.5538851\",\n \"0.55318713\",\n \"0.5528228\",\n \"0.55280674\",\n \"0.5525738\",\n \"0.5525344\",\n \"0.5523086\",\n \"0.5520132\",\n \"0.55173177\",\n \"0.5516439\",\n \"0.55100834\",\n \"0.55083394\",\n \"0.5502854\",\n \"0.5501623\",\n \"0.54839724\",\n \"0.54797935\",\n \"0.54788154\",\n \"0.5474533\",\n \"0.5473084\",\n \"0.5465412\",\n \"0.5460465\",\n \"0.54549116\",\n \"0.54449075\",\n \"0.54334825\",\n \"0.5428694\",\n \"0.5425578\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.7040043"},"document_rank":{"kind":"string","value":"0"}}},{"rowIdx":86792,"cells":{"query":{"kind":"string","value":"Split sig into nonoverlapping chunks of length N"},"document":{"kind":"string","value":"def _nonoverlapping_chunks(sig, n_samples):\n\n n_chunks = int(np.floor(len(sig) / float(n_samples)))\n chunks = np.reshape(sig[:int(n_chunks * n_samples)], (n_chunks, int(n_samples)))\n\n return chunks"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def split_by_n(seq, n):\n while seq:\n yield seq[:n]\n seq = seq[n:]","def split_by_n( seq, n ):\n while seq:\n yield seq[:n]\n seq = seq[n:]","def split_seq(seq,size):\n for i in range(0,len(seq),size):\n if i+size<len(seq) and seq[i+size] - seq[i] == size:\n yield seq[i:i+size]","def split(a, N):\n\n integ = int(len(a) / N)\n remain = int(len(a) % N)\n\n splitted = [a[i * integ + min(i, remain):(i + 1) * integ +\n min(i + 1, remain)] for i in range(N)]\n\n return splitted","def split_into_chunks(x, n):\n csize = int(np.ceil(len(x) / n))\n out = list()\n \n i = 0\n while i * csize < len(x):\n out.append(x[(i * csize):(i * csize + csize)])\n i += 1\n\n return out","def chunks(seq, n):\n assert len(seq) > n\n avg = len(seq) / float(n)\n out = []\n last = 0\n while round(last) < len(seq):\n out.append(seq[round(last):round(last + avg)])\n last += avg\n return out","def chunk_it(seq, n):\n\n avg = len(seq) / float(n)\n out = []\n last = 0.0\n while last < len(seq):\n out.append(seq[int(last):int(last + avg)])\n last += avg\n return out","def chunks(parts, n):\n for i in range(0, len(parts), n):\n yield parts[i:i+n]","def groups_of(seq, n):\n for i in range(0, len(seq), n):\n yield seq[i : (i + n)]","def split_seq(seq,size):\n return [seq[i:i+size] for i in range(0, len(seq), size)]","def split_seq(seq, size):\n return [seq[ii:ii + size] for ii in range(0, len(seq), size)]","def chunks(A, N):\n for i in range(0, len(A)):\n r = A[i:i+N]\n if len(r) == N:\n yield r","def split(a, n):\n k, m = divmod(len(a), n)\n ret = [a[i*k+min(i, m):(i+1)*k+min(i+1, m)] for i in range(n)]\n return ret","def nchunks(xs, n):\n xs = list(xs)\n start = 0\n for i in range(n):\n if i + 1 == n:\n # last chunk\n yield xs[start:]\n else:\n chunksize = round(len(xs[start:]) / (n - i))\n yield xs[start:start + chunksize]\n start += chunksize","def get_chunks(sequence, ck_size):\n \n list_chunk = []\n i=1\n l = len(sequence)\n if l < 4*ck_size:\n raise ValueError(\"Chunk size should be of 4 at least \")\n for i in range(1, l):\n if i*ck_size < l:\n list_chunk.append(sequence[i*ck_size-ck_size:i*ck_size])\n #while(i*ck_size < l):\n #list_chunk.append(sequence[i*ck_size-ck_size:i*ck_size])\n #i += 1\n return list_chunk","def chunks(arr, n):\n for i in range(0, len(arr), n):\n yield arr[i:i + n]","def _chunks(l, n):\n for i in range(0, len(l), n):\n yield l[i:i + n]","def get_chunks(sequence, chunk_size):\n segments = []\n for i in range(0, len(sequence), chunk_size):\n tmp = sequence[i:chunk_size+i]\n if len(tmp) == chunk_size:\n segments.append(tmp)\n return segments","def split_on_chunks(sequence, length: int, no_rest=False):\n\n if not isinstance(sequence, (list, tuple)):\n raise TypeError('Support only an instance of list or tuple')\n\n sequence_len = len(sequence)\n\n if length < 1:\n raise ValueError(\"Length of a chunk must be at least 1\")\n elif length >= sequence_len:\n return sequence\n\n chuncks = list()\n for i in range(0, sequence_len, length):\n chuncks.append(tuple(sequence[i: i + length]))\n\n if no_rest is True and len(chuncks[-1]) < length and len(chuncks) > 1:\n chuncks[-2] = list(chuncks[-2])\n chuncks[-2].extend(chuncks[-1])\n chuncks[-2] = tuple(chuncks[-2])\n chuncks = chuncks[:-1]\n\n return chuncks","def chunks(arr, n):\n for i in range(0, len(arr), n):\n yield arr[i:i + n]","def get_chunks(sequence, chunk_size):\n seq_length = len(sequence)\n seq_list = []\n treshold = int(seq_length) // int(chunk_size)\n if treshold <4:\n raise ValueError(\"Change chunk size\")\n for i in range(treshold):\n seq = sequence[i*chunk_size:(i+1)*chunk_size]\n seq_list.append(seq)\n return seq_list","def chunks(seq: Sequence[T], n: int) -> Iterator[Sequence[T]]:\n for i in range(0, len(seq), n):\n yield seq[i:i + n]","def _chunks(l, n):\n for i in xrange(0, len(l), n):\n yield l[i:i + n]","def split(a, n):\n n = min(n, len(a))\n k, m = divmod(len(a), n)\n return [a[i * k + min(i, m) : (i + 1) * k + min(i + 1, m)] for i in range(n)]","def _chunks(l, n):\n\tfor i in range(0, len(l), n):\n\t\tyield l[i:i + n]","def make_chunks(l, n):\n return [l[i:i+n] for i in range(0, len(l), n)]","def chunk_sequence(sequence, chunk_size=10, n_leave=0):\r\n \r\n \r\n chunks=[]\r\n for i in range(0,len(sequence)-chunk_size+1-n_leave):\r\n chunks.append(sequence[i:i+chunk_size])\r\n \r\n return torch.stack(chunks)","def grouper(iterable, n):\n it = iter(iterable)\n while True:\n chunk = tuple(islice(it, n))\n if not chunk:\n return\n yield chunk","def chunks(data: list, n: int) -> list:\n for i in range(0, len(data), n):\n yield data[i:i + n]","def greedy_split(arr, n, axis=0):\n length = arr.shape[axis]\n # compute the size of each of the first n-1 blocks\n block_size = int(np.ceil(length / float(n)))\n # the indices at which the splits will occur\n ix = np.arange(block_size, length, block_size)\n return np.array(np.split(arr, ix, axis))","def chunks(seq, size):\n for i in range(0, len(seq), size):\n yield seq[i:i + size]","def split_into_n(s, n):\n return [s[k:k + n] for k in range(0, len(s), n)]","def grouper(n, iterable):\n it = iter(iterable)\n while True:\n chunk = tuple(itertools.islice(it, n))\n if not chunk:\n return\n yield chunk","def __chunks(l, n):\n for i in range(0, len(l), n):\n yield l[i:i + n]","def get_chunks(lst, n):\n size = int(len(lst) / n)\n output_list = []\n for i in range(0, n):\n sub_list = lst[i*size:i*size + size]\n output_list.append(sub_list)\n if len(lst) % n != 0:\n for i in range((n-1)*size+1, len(lst)):\n output_list[-1].append(lst[i])\n return output_list","def chunks(lst, n):\n for i in range(0, len(lst), n):\n yield lst[i:i + n,:]","def _get_chunks(l, n = 10):\n \n for i in range(0, len(l), n): yield l[i: i + n]","def build_chunks(l, n):\r\n for i in xrange(0, len(l), n):\r\n yield l[i:i+n]","def grouper(n, iterable):\n\tit = iter(iterable)\n\twhile True:\n\t\tchunk = tuple(itertools.islice(it, n))\n\t\tif not chunk:\n\t\t\treturn\n\t\tyield chunk","def chunks(l, n):\n for i in range(0, len(l) // n * n + n - 1, n):\n if len(l[i:i + n]):\n yield l[i:i + n]","def chunks(l, n):\n for i in range(0, n):\n yield l[i::n]","def get_chunks(sequence, window_size, step=1):\n k = len(sequence)\n for i in range(0, k - window_size + 1, step):\n end = i + window_size\n chunk = sequence[i:i + window_size]\n assert len(chunk) == window_size\n yield chunk, end","def chunks(l, n):\r\n for i in xrange(0, len(l), n):\r\n yield l[i+1:i+n+1:2]","def chunk_it(seq, num):\n # find average chunk size\n avg = len(seq) / float(num)\n out = []\n last = 0.0\n\n # until the end of sequence\n while last < len(seq):\n # append the value to a bin\n out.append(seq[int(last):int(last + avg)])\n last += avg\n\n return out","def even_split(a, n):\n n = min(n, len(a)) # if less elements in array than chunks to output, change chunks to array length\n k, m = divmod(len(a), n)\n return (a[i * k + min(i, m):(i + 1) * k + min(i + 1, m)] for i in range(n))","def get_chunks(self, l, n):\r\n for i in range(0, len(l), n):\r\n yield l[i:i+n]","def chunks(lst, n):\n for i in range(0, len(lst), n):\n yield lst[i:i + n]","def chunks(lst, n):\n for i in range(0, len(lst), n):\n yield lst[i:i + n]","def chunks(alist, n):\n for i in range(0, len(alist), n):\n yield alist[i:i + n]","def chunks(lst, n):\n for i in range(0, len(lst), n):\n yield lst[i : i + n]","def chunk(size, seq):\n if not isinstance(size, int) or size <= 0: # pragma: no cover\n raise ValueError(\"size must be an integer greater than zero\")\n\n group = []\n\n for item in seq:\n if len(group) >= size:\n yield group\n group = []\n group.append(item)\n\n if group:\n yield group","def chunks(l, n):\n for i in xrange(0, len(l), n):\n yield l[i:i+n]","def chunks(lst, n):\n\tfor i in range(0, len(lst), n):\n\t\tyield lst[i:i + n]","def chunks(lst, n):\n\tfor i in range(0, len(lst), n):\n\t\tyield lst[i:i + n]","def chunks(lst, n):\r\n for i in range(0, len(lst), n):\r\n yield lst[i:i + n]","def _chunkify(sequence, num_chunks):\n quo, rem = divmod(len(sequence), num_chunks)\n return (sequence[i * quo + min(i, rem):(i + 1) * quo + min(i + 1, rem)] for i in range(num_chunks))","def chunk(seq, size, groupByList=True):\n func = tuple\n if groupByList:\n func = list\n return [func(seq[i:i + size]) for i in range(0, len(seq), size)]","def chunks(l, n):\r\n for i in range(0, len(l), n):\r\n yield l[i:i+n]","def chunks(l, n):\r\n for i in range(0, len(l), n):\r\n yield l[i:i + n]","def chunks(l, n):\r\n for i in range(0, len(l), n):\r\n yield l[i:i + n]","def chunks(l, n):\r\n for i in range(0, len(l), n):\r\n yield l[i:i + n]","def chunks(l, n):\r\n for i in range(0, len(l), n):\r\n yield l[i:i + n]","def chunks(l, n):\r\n for i in range(0, len(l), n):\r\n yield l[i:i + n]","def chunks(l, n):\r\n for i in range(0, len(l), n):\r\n yield l[i:i + n]","def chunks(lst, n):\n for i in range(0, len(lst), n):\n yield lst[i:i + n]","def chunks(lst, n):\n for i in range(0, len(lst), n):\n yield lst[i:i + n]","def chunks(lst, n):\n for i in range(0, len(lst), n):\n yield lst[i:i + n]","def chunks(lst, n):\n for i in range(0, len(lst), n):\n yield lst[i:i + n]","def chunks(lst, n):\n for i in range(0, len(lst), n):\n yield lst[i:i + n]","def chunks(lst, n):\n for i in range(0, len(lst), n):\n yield lst[i:i + n]","def chunks(lst, n):\n for i in range(0, len(lst), n):\n yield lst[i:i + n]","def chunks(lst, n):\n for i in range(0, len(lst), n):\n yield lst[i:i + n]","def chunks(lst, n):\n for i in range(0, len(lst), n):\n yield lst[i:i + n]","def chunks(lst, n):\n for i in range(0, len(lst), n):\n yield lst[i:i + n]","def chunks(lst, n):\n for i in range(0, len(lst), n):\n yield lst[i:i + n]","def chunks(lst, n):\n for i in range(0, len(lst), n):\n yield lst[i:i + n]","def chunks(lst, n):\n for i in range(0, len(lst), n):\n yield lst[i:i + n]","def chunks(lst, n):\n for i in range(0, len(lst), n):\n yield lst[i:i + n]","def chunks(lst, n):\n for i in range(0, len(lst), n):\n yield lst[i:i + n]","def chunks(lst, n):\n for i in range(0, len(lst), n):\n yield lst[i:i + n]","def chunks(lst, n):\n for i in range(0, len(lst), n):\n yield lst[i:i + n]","def chunks(lst, n):\n for i in range(0, len(lst), n):\n yield lst[i:i + n]","def chunks(lst, n):\n for i in range(0, len(lst), n):\n yield lst[i:i + n]","def chunks(lst, n):\n for i in range(0, len(lst), n):\n yield lst[i:i + n]","def chunks(lst, n):\n for i in range(0, len(lst), n):\n yield lst[i:i + n]","def chunks(lst, n):\n for i in range(0, len(lst), n):\n yield lst[i:i + n]","def _chunker(self, seq, size):\n return (seq[pos:pos + size] for pos in range(0, len(seq), size))","def chunks(lst, n):\n for i in range(0, len(lst), n):\n yield lst[i : i + n]","def chunks(lst, n):\n for i in range(0, len(lst), n):\n yield lst[i : i + n]","def chunks(lst, n):\n for i in range(0, len(lst), n):\n yield lst[i : i + n]","def chunks(lst, n):\n for i in range(0, len(lst), n):\n yield lst[i : i + n]","def chunks(lst, n):\n for i in range(0, len(lst), n):\n yield lst[i : i + n]","def chunk(iterable, n):\n iterable = [e for e in iterable]\n avg_length = int(math.ceil(len(iterable) / n))\n return [iterable[i * avg_length:(i + 1) * avg_length] for i in range(n)]","def chunks(l, n):\n if n:\n for i in xrange(0, len(l), n):\n yield l[i:i + n]","def chunks(l, n):\n for i in xrange(0, len(l), n):\n yield l[i:i+n]","def chunks(l, n):\r\n for i in xrange(0, len(l), n):\r\n yield l[i:i+n]","def chunks(l, n):\n for i in range(0, len(l), n):\n yield l[i:i+n]","def chunks(l, n):\n for i in xrange(0, len(l), n):\n yield l[i:i + n]","def evenchunks(l, n):\n if type(l) <> list:\n l = list(l)\n \n import math\n n = int(math.floor(len(l)/float(n))) + 10\n print len(l)\n \"\"\"Yield successive n-sized chunks from l.\"\"\"\n for i in xrange(0, len(l), n):\n yield l[i:i+n]","def chunks(lst: list, n: int):\n for i in range(0, len(lst), n):\n yield lst[i : i + n]"],"string":"[\n \"def split_by_n(seq, n):\\n while seq:\\n yield seq[:n]\\n seq = seq[n:]\",\n \"def split_by_n( seq, n ):\\n while seq:\\n yield seq[:n]\\n seq = seq[n:]\",\n \"def split_seq(seq,size):\\n for i in range(0,len(seq),size):\\n if i+size<len(seq) and seq[i+size] - seq[i] == size:\\n yield seq[i:i+size]\",\n \"def split(a, N):\\n\\n integ = int(len(a) / N)\\n remain = int(len(a) % N)\\n\\n splitted = [a[i * integ + min(i, remain):(i + 1) * integ +\\n min(i + 1, remain)] for i in range(N)]\\n\\n return splitted\",\n \"def split_into_chunks(x, n):\\n csize = int(np.ceil(len(x) / n))\\n out = list()\\n \\n i = 0\\n while i * csize < len(x):\\n out.append(x[(i * csize):(i * csize + csize)])\\n i += 1\\n\\n return out\",\n \"def chunks(seq, n):\\n assert len(seq) > n\\n avg = len(seq) / float(n)\\n out = []\\n last = 0\\n while round(last) < len(seq):\\n out.append(seq[round(last):round(last + avg)])\\n last += avg\\n return out\",\n \"def chunk_it(seq, n):\\n\\n avg = len(seq) / float(n)\\n out = []\\n last = 0.0\\n while last < len(seq):\\n out.append(seq[int(last):int(last + avg)])\\n last += avg\\n return out\",\n \"def chunks(parts, n):\\n for i in range(0, len(parts), n):\\n yield parts[i:i+n]\",\n \"def groups_of(seq, n):\\n for i in range(0, len(seq), n):\\n yield seq[i : (i + n)]\",\n \"def split_seq(seq,size):\\n return [seq[i:i+size] for i in range(0, len(seq), size)]\",\n \"def split_seq(seq, size):\\n return [seq[ii:ii + size] for ii in range(0, len(seq), size)]\",\n \"def chunks(A, N):\\n for i in range(0, len(A)):\\n r = A[i:i+N]\\n if len(r) == N:\\n yield r\",\n \"def split(a, n):\\n k, m = divmod(len(a), n)\\n ret = [a[i*k+min(i, m):(i+1)*k+min(i+1, m)] for i in range(n)]\\n return ret\",\n \"def nchunks(xs, n):\\n xs = list(xs)\\n start = 0\\n for i in range(n):\\n if i + 1 == n:\\n # last chunk\\n yield xs[start:]\\n else:\\n chunksize = round(len(xs[start:]) / (n - i))\\n yield xs[start:start + chunksize]\\n start += chunksize\",\n \"def get_chunks(sequence, ck_size):\\n \\n list_chunk = []\\n i=1\\n l = len(sequence)\\n if l < 4*ck_size:\\n raise ValueError(\\\"Chunk size should be of 4 at least \\\")\\n for i in range(1, l):\\n if i*ck_size < l:\\n list_chunk.append(sequence[i*ck_size-ck_size:i*ck_size])\\n #while(i*ck_size < l):\\n #list_chunk.append(sequence[i*ck_size-ck_size:i*ck_size])\\n #i += 1\\n return list_chunk\",\n \"def chunks(arr, n):\\n for i in range(0, len(arr), n):\\n yield arr[i:i + n]\",\n \"def _chunks(l, n):\\n for i in range(0, len(l), n):\\n yield l[i:i + n]\",\n \"def get_chunks(sequence, chunk_size):\\n segments = []\\n for i in range(0, len(sequence), chunk_size):\\n tmp = sequence[i:chunk_size+i]\\n if len(tmp) == chunk_size:\\n segments.append(tmp)\\n return segments\",\n \"def split_on_chunks(sequence, length: int, no_rest=False):\\n\\n if not isinstance(sequence, (list, tuple)):\\n raise TypeError('Support only an instance of list or tuple')\\n\\n sequence_len = len(sequence)\\n\\n if length < 1:\\n raise ValueError(\\\"Length of a chunk must be at least 1\\\")\\n elif length >= sequence_len:\\n return sequence\\n\\n chuncks = list()\\n for i in range(0, sequence_len, length):\\n chuncks.append(tuple(sequence[i: i + length]))\\n\\n if no_rest is True and len(chuncks[-1]) < length and len(chuncks) > 1:\\n chuncks[-2] = list(chuncks[-2])\\n chuncks[-2].extend(chuncks[-1])\\n chuncks[-2] = tuple(chuncks[-2])\\n chuncks = chuncks[:-1]\\n\\n return chuncks\",\n \"def chunks(arr, n):\\n for i in range(0, len(arr), n):\\n yield arr[i:i + n]\",\n \"def get_chunks(sequence, chunk_size):\\n seq_length = len(sequence)\\n seq_list = []\\n treshold = int(seq_length) // int(chunk_size)\\n if treshold <4:\\n raise ValueError(\\\"Change chunk size\\\")\\n for i in range(treshold):\\n seq = sequence[i*chunk_size:(i+1)*chunk_size]\\n seq_list.append(seq)\\n return seq_list\",\n \"def chunks(seq: Sequence[T], n: int) -> Iterator[Sequence[T]]:\\n for i in range(0, len(seq), n):\\n yield seq[i:i + n]\",\n \"def _chunks(l, n):\\n for i in xrange(0, len(l), n):\\n yield l[i:i + n]\",\n \"def split(a, n):\\n n = min(n, len(a))\\n k, m = divmod(len(a), n)\\n return [a[i * k + min(i, m) : (i + 1) * k + min(i + 1, m)] for i in range(n)]\",\n \"def _chunks(l, n):\\n\\tfor i in range(0, len(l), n):\\n\\t\\tyield l[i:i + n]\",\n \"def make_chunks(l, n):\\n return [l[i:i+n] for i in range(0, len(l), n)]\",\n \"def chunk_sequence(sequence, chunk_size=10, n_leave=0):\\r\\n \\r\\n \\r\\n chunks=[]\\r\\n for i in range(0,len(sequence)-chunk_size+1-n_leave):\\r\\n chunks.append(sequence[i:i+chunk_size])\\r\\n \\r\\n return torch.stack(chunks)\",\n \"def grouper(iterable, n):\\n it = iter(iterable)\\n while True:\\n chunk = tuple(islice(it, n))\\n if not chunk:\\n return\\n yield chunk\",\n \"def chunks(data: list, n: int) -> list:\\n for i in range(0, len(data), n):\\n yield data[i:i + n]\",\n \"def greedy_split(arr, n, axis=0):\\n length = arr.shape[axis]\\n # compute the size of each of the first n-1 blocks\\n block_size = int(np.ceil(length / float(n)))\\n # the indices at which the splits will occur\\n ix = np.arange(block_size, length, block_size)\\n return np.array(np.split(arr, ix, axis))\",\n \"def chunks(seq, size):\\n for i in range(0, len(seq), size):\\n yield seq[i:i + size]\",\n \"def split_into_n(s, n):\\n return [s[k:k + n] for k in range(0, len(s), n)]\",\n \"def grouper(n, iterable):\\n it = iter(iterable)\\n while True:\\n chunk = tuple(itertools.islice(it, n))\\n if not chunk:\\n return\\n yield chunk\",\n \"def __chunks(l, n):\\n for i in range(0, len(l), n):\\n yield l[i:i + n]\",\n \"def get_chunks(lst, n):\\n size = int(len(lst) / n)\\n output_list = []\\n for i in range(0, n):\\n sub_list = lst[i*size:i*size + size]\\n output_list.append(sub_list)\\n if len(lst) % n != 0:\\n for i in range((n-1)*size+1, len(lst)):\\n output_list[-1].append(lst[i])\\n return output_list\",\n \"def chunks(lst, n):\\n for i in range(0, len(lst), n):\\n yield lst[i:i + n,:]\",\n \"def _get_chunks(l, n = 10):\\n \\n for i in range(0, len(l), n): yield l[i: i + n]\",\n \"def build_chunks(l, n):\\r\\n for i in xrange(0, len(l), n):\\r\\n yield l[i:i+n]\",\n \"def grouper(n, iterable):\\n\\tit = iter(iterable)\\n\\twhile True:\\n\\t\\tchunk = tuple(itertools.islice(it, n))\\n\\t\\tif not chunk:\\n\\t\\t\\treturn\\n\\t\\tyield chunk\",\n \"def chunks(l, n):\\n for i in range(0, len(l) // n * n + n - 1, n):\\n if len(l[i:i + n]):\\n yield l[i:i + n]\",\n \"def chunks(l, n):\\n for i in range(0, n):\\n yield l[i::n]\",\n \"def get_chunks(sequence, window_size, step=1):\\n k = len(sequence)\\n for i in range(0, k - window_size + 1, step):\\n end = i + window_size\\n chunk = sequence[i:i + window_size]\\n assert len(chunk) == window_size\\n yield chunk, end\",\n \"def chunks(l, n):\\r\\n for i in xrange(0, len(l), n):\\r\\n yield l[i+1:i+n+1:2]\",\n \"def chunk_it(seq, num):\\n # find average chunk size\\n avg = len(seq) / float(num)\\n out = []\\n last = 0.0\\n\\n # until the end of sequence\\n while last < len(seq):\\n # append the value to a bin\\n out.append(seq[int(last):int(last + avg)])\\n last += avg\\n\\n return out\",\n \"def even_split(a, n):\\n n = min(n, len(a)) # if less elements in array than chunks to output, change chunks to array length\\n k, m = divmod(len(a), n)\\n return (a[i * k + min(i, m):(i + 1) * k + min(i + 1, m)] for i in range(n))\",\n \"def get_chunks(self, l, n):\\r\\n for i in range(0, len(l), n):\\r\\n yield l[i:i+n]\",\n \"def chunks(lst, n):\\n for i in range(0, len(lst), n):\\n yield lst[i:i + n]\",\n \"def chunks(lst, n):\\n for i in range(0, len(lst), n):\\n yield lst[i:i + n]\",\n \"def chunks(alist, n):\\n for i in range(0, len(alist), n):\\n yield alist[i:i + n]\",\n \"def chunks(lst, n):\\n for i in range(0, len(lst), n):\\n yield lst[i : i + n]\",\n \"def chunk(size, seq):\\n if not isinstance(size, int) or size <= 0: # pragma: no cover\\n raise ValueError(\\\"size must be an integer greater than zero\\\")\\n\\n group = []\\n\\n for item in seq:\\n if len(group) >= size:\\n yield group\\n group = []\\n group.append(item)\\n\\n if group:\\n yield group\",\n \"def chunks(l, n):\\n for i in xrange(0, len(l), n):\\n yield l[i:i+n]\",\n \"def chunks(lst, n):\\n\\tfor i in range(0, len(lst), n):\\n\\t\\tyield lst[i:i + n]\",\n \"def chunks(lst, n):\\n\\tfor i in range(0, len(lst), n):\\n\\t\\tyield lst[i:i + n]\",\n \"def chunks(lst, n):\\r\\n for i in range(0, len(lst), n):\\r\\n yield lst[i:i + n]\",\n \"def _chunkify(sequence, num_chunks):\\n quo, rem = divmod(len(sequence), num_chunks)\\n return (sequence[i * quo + min(i, rem):(i + 1) * quo + min(i + 1, rem)] for i in range(num_chunks))\",\n \"def chunk(seq, size, groupByList=True):\\n func = tuple\\n if groupByList:\\n func = list\\n return [func(seq[i:i + size]) for i in range(0, len(seq), size)]\",\n \"def chunks(l, n):\\r\\n for i in range(0, len(l), n):\\r\\n yield l[i:i+n]\",\n \"def chunks(l, n):\\r\\n for i in range(0, len(l), n):\\r\\n yield l[i:i + n]\",\n \"def chunks(l, n):\\r\\n for i in range(0, len(l), n):\\r\\n yield l[i:i + n]\",\n \"def chunks(l, n):\\r\\n for i in range(0, len(l), n):\\r\\n yield l[i:i + n]\",\n \"def chunks(l, n):\\r\\n for i in range(0, len(l), n):\\r\\n yield l[i:i + n]\",\n \"def chunks(l, n):\\r\\n for i in range(0, len(l), n):\\r\\n yield l[i:i + n]\",\n \"def chunks(l, n):\\r\\n for i in range(0, len(l), n):\\r\\n yield l[i:i + n]\",\n \"def chunks(lst, n):\\n for i in range(0, len(lst), n):\\n yield lst[i:i + n]\",\n \"def chunks(lst, n):\\n for i in range(0, len(lst), n):\\n yield lst[i:i + n]\",\n \"def chunks(lst, n):\\n for i in range(0, len(lst), n):\\n yield lst[i:i + n]\",\n \"def chunks(lst, n):\\n for i in range(0, len(lst), n):\\n yield lst[i:i + n]\",\n \"def chunks(lst, n):\\n for i in range(0, len(lst), n):\\n yield lst[i:i + n]\",\n \"def chunks(lst, n):\\n for i in range(0, len(lst), n):\\n yield lst[i:i + n]\",\n \"def chunks(lst, n):\\n for i in range(0, len(lst), n):\\n yield lst[i:i + n]\",\n \"def chunks(lst, n):\\n for i in range(0, len(lst), n):\\n yield lst[i:i + n]\",\n \"def chunks(lst, n):\\n for i in range(0, len(lst), n):\\n yield lst[i:i + n]\",\n \"def chunks(lst, n):\\n for i in range(0, len(lst), n):\\n yield lst[i:i + n]\",\n \"def chunks(lst, n):\\n for i in range(0, len(lst), n):\\n yield lst[i:i + n]\",\n \"def chunks(lst, n):\\n for i in range(0, len(lst), n):\\n yield lst[i:i + n]\",\n \"def chunks(lst, n):\\n for i in range(0, len(lst), n):\\n yield lst[i:i + n]\",\n \"def chunks(lst, n):\\n for i in range(0, len(lst), n):\\n yield lst[i:i + n]\",\n \"def chunks(lst, n):\\n for i in range(0, len(lst), n):\\n yield lst[i:i + n]\",\n \"def chunks(lst, n):\\n for i in range(0, len(lst), n):\\n yield lst[i:i + n]\",\n \"def chunks(lst, n):\\n for i in range(0, len(lst), n):\\n yield lst[i:i + n]\",\n \"def chunks(lst, n):\\n for i in range(0, len(lst), n):\\n yield lst[i:i + n]\",\n \"def chunks(lst, n):\\n for i in range(0, len(lst), n):\\n yield lst[i:i + n]\",\n \"def chunks(lst, n):\\n for i in range(0, len(lst), n):\\n yield lst[i:i + n]\",\n \"def chunks(lst, n):\\n for i in range(0, len(lst), n):\\n yield lst[i:i + n]\",\n \"def chunks(lst, n):\\n for i in range(0, len(lst), n):\\n yield lst[i:i + n]\",\n \"def _chunker(self, seq, size):\\n return (seq[pos:pos + size] for pos in range(0, len(seq), size))\",\n \"def chunks(lst, n):\\n for i in range(0, len(lst), n):\\n yield lst[i : i + n]\",\n \"def chunks(lst, n):\\n for i in range(0, len(lst), n):\\n yield lst[i : i + n]\",\n \"def chunks(lst, n):\\n for i in range(0, len(lst), n):\\n yield lst[i : i + n]\",\n \"def chunks(lst, n):\\n for i in range(0, len(lst), n):\\n yield lst[i : i + n]\",\n \"def chunks(lst, n):\\n for i in range(0, len(lst), n):\\n yield lst[i : i + n]\",\n \"def chunk(iterable, n):\\n iterable = [e for e in iterable]\\n avg_length = int(math.ceil(len(iterable) / n))\\n return [iterable[i * avg_length:(i + 1) * avg_length] for i in range(n)]\",\n \"def chunks(l, n):\\n if n:\\n for i in xrange(0, len(l), n):\\n yield l[i:i + n]\",\n \"def chunks(l, n):\\n for i in xrange(0, len(l), n):\\n yield l[i:i+n]\",\n \"def chunks(l, n):\\r\\n for i in xrange(0, len(l), n):\\r\\n yield l[i:i+n]\",\n \"def chunks(l, n):\\n for i in range(0, len(l), n):\\n yield l[i:i+n]\",\n \"def chunks(l, n):\\n for i in xrange(0, len(l), n):\\n yield l[i:i + n]\",\n \"def evenchunks(l, n):\\n if type(l) <> list:\\n l = list(l)\\n \\n import math\\n n = int(math.floor(len(l)/float(n))) + 10\\n print len(l)\\n \\\"\\\"\\\"Yield successive n-sized chunks from l.\\\"\\\"\\\"\\n for i in xrange(0, len(l), n):\\n yield l[i:i+n]\",\n \"def chunks(lst: list, n: int):\\n for i in range(0, len(lst), n):\\n yield lst[i : i + n]\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.6515251","0.65040153","0.6353311","0.63250804","0.6303389","0.6263644","0.6134201","0.6105199","0.6078715","0.6029697","0.5970635","0.59692246","0.5947306","0.5942355","0.59412867","0.5921488","0.5913542","0.59111804","0.58984333","0.5897976","0.5883429","0.58678883","0.5853299","0.5846096","0.58442146","0.58319765","0.58229756","0.58218944","0.58210796","0.5813688","0.5807524","0.5804982","0.5801156","0.5800162","0.5790068","0.57896006","0.57878923","0.57705724","0.5766619","0.5764671","0.5764364","0.5750357","0.5742765","0.57240885","0.57219636","0.570367","0.56935054","0.56935054","0.56914914","0.56805706","0.5679964","0.5679702","0.56789106","0.56789106","0.56773263","0.56507224","0.5649164","0.5648201","0.5647356","0.5647356","0.5647356","0.5647356","0.5647356","0.56459886","0.56412375","0.56412375","0.56412375","0.56412375","0.56412375","0.56412375","0.56412375","0.56412375","0.56412375","0.56412375","0.56412375","0.56412375","0.56412375","0.56412375","0.56412375","0.56412375","0.56412375","0.56412375","0.56412375","0.56412375","0.56412375","0.56412375","0.56368387","0.5633435","0.5633435","0.5633435","0.5633435","0.5633435","0.5626582","0.56261855","0.5616703","0.5615587","0.56149364","0.5612003","0.561178","0.5611685"],"string":"[\n \"0.6515251\",\n \"0.65040153\",\n \"0.6353311\",\n \"0.63250804\",\n \"0.6303389\",\n \"0.6263644\",\n \"0.6134201\",\n \"0.6105199\",\n \"0.6078715\",\n \"0.6029697\",\n \"0.5970635\",\n \"0.59692246\",\n \"0.5947306\",\n \"0.5942355\",\n \"0.59412867\",\n \"0.5921488\",\n \"0.5913542\",\n \"0.59111804\",\n \"0.58984333\",\n \"0.5897976\",\n \"0.5883429\",\n \"0.58678883\",\n \"0.5853299\",\n \"0.5846096\",\n \"0.58442146\",\n \"0.58319765\",\n \"0.58229756\",\n \"0.58218944\",\n \"0.58210796\",\n \"0.5813688\",\n \"0.5807524\",\n \"0.5804982\",\n \"0.5801156\",\n \"0.5800162\",\n \"0.5790068\",\n \"0.57896006\",\n \"0.57878923\",\n \"0.57705724\",\n \"0.5766619\",\n \"0.5764671\",\n \"0.5764364\",\n \"0.5750357\",\n \"0.5742765\",\n \"0.57240885\",\n \"0.57219636\",\n \"0.570367\",\n \"0.56935054\",\n \"0.56935054\",\n \"0.56914914\",\n \"0.56805706\",\n \"0.5679964\",\n \"0.5679702\",\n \"0.56789106\",\n \"0.56789106\",\n \"0.56773263\",\n \"0.56507224\",\n \"0.5649164\",\n \"0.5648201\",\n \"0.5647356\",\n \"0.5647356\",\n \"0.5647356\",\n \"0.5647356\",\n \"0.5647356\",\n \"0.56459886\",\n \"0.56412375\",\n \"0.56412375\",\n \"0.56412375\",\n \"0.56412375\",\n \"0.56412375\",\n \"0.56412375\",\n \"0.56412375\",\n \"0.56412375\",\n \"0.56412375\",\n \"0.56412375\",\n \"0.56412375\",\n \"0.56412375\",\n \"0.56412375\",\n \"0.56412375\",\n \"0.56412375\",\n \"0.56412375\",\n \"0.56412375\",\n \"0.56412375\",\n \"0.56412375\",\n \"0.56412375\",\n \"0.56412375\",\n \"0.56412375\",\n \"0.56368387\",\n \"0.5633435\",\n \"0.5633435\",\n \"0.5633435\",\n \"0.5633435\",\n \"0.5633435\",\n \"0.5626582\",\n \"0.56261855\",\n \"0.5616703\",\n \"0.5615587\",\n \"0.56149364\",\n \"0.5612003\",\n \"0.561178\",\n \"0.5611685\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.81064266"},"document_rank":{"kind":"string","value":"0"}}},{"rowIdx":86793,"cells":{"query":{"kind":"string","value":"Solution to the bombbaby puzzle. Here, we are given some dynamical update rules, a pair (m,f) could be succeeded either by (m+f,f) or (m,m+f). Given two numbers (m,f), we are tasked with finding the shortest path (in generations) to generate (m,f) from (1,1), or to determine that the outcome is impossible. The 'real challenge' is finding an efficient implementation, in particular, avoiding deep recursion stacks and 'skipping' recursion loops that can be determined apriori to be unnecessary."},"document":{"kind":"string","value":"def solution(m,f):\r\n\r\n m = int(m)\r\n f = int(f)\r\n\r\n # number of accumulated generations\r\n n = 0 \r\n\r\n ## A tail-recursive implementation with constant memory usage\r\n ## is easily possible, but unfortunately Python cannot handle/optimize\r\n ## tail recursion, and is still limited by maximum recursion depth.\r\n ## We'll thus implement tail-recursion implicitly via a loop:\r\n while True:\r\n # The entire generation poset is symmetric,\r\n # so we can reduce the problem to m >= f\r\n # without affecting the output in any way\r\n if m < f:\r\n m, f = f, m\r\n\r\n ## Base cases: \r\n # Base case 1: Negative or zero inputs? --> impossible\r\n if m<1 or f<1:\r\n return \"impossible\"\r\n\r\n # Base case 2: (m, 1)\r\n # It takes (m-1) generations to generate the tuple (m, 1), i.e.\r\n # when always choosing the transition (m,1) -> (m+1, 1) \r\n if f==1:\r\n return str(n + m-1)\r\n\r\n ## Recursive case: go down the tree\r\n # (m,f) could have been generated from (m-f, f) or (m, f-m)\r\n # (or their symmetries) but we know that m >= f\r\n # so f-m will be <1 and we can ignore that branch.\r\n\r\n # As long as m will remain greater than f after the update,\r\n # we already know that would end up in the recursive case again\r\n # in the next step, so we can directly take multiple steps at\r\n # once in order to avoid unnecessary iterations:\r\n steps = m // f\r\n\r\n n += steps\r\n m -= steps * f"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def mLFG(a,b,m):\n \n require_integers([\"a\",\"b\",\"m\"],[a,b,m])\n \n while True:\n yield a\n a,b = b,(a*b)%m","def aLFG(a,b,m):\n \n require_integers([\"a\",\"b\",\"m\"],[a,b,m])\n \n while True:\n yield a\n a,b = b,(a+b)%m","def ackermanFunc(m, n):\n\n \"\"\"First validate that they're both positive.\"\"\"\n if m < 0 or n < 0:\n return None\n\n \"\"\"Run the function\"\"\"\n if m == 0:\n n+1\n elif m > 0 and n == 0:\n m = m - 1\n ackermanFunc(m, 1)\n else:\n mMin = m - 1\n nMin = n - 1\n newN = ackermanFunc(m, nMin)\n ackermanFunc(mMin, newN)\n\n return (m, n)","def gLFG(a,b,m,func):\n \n require_integers([\"a\",\"b\",\"m\"],[a,b,m])\n \n while True:\n yield a\n a,b = b,func(a,b)%m","def test_heuristic_first_steps(self):\n graph = {n: set(self.deterministic_graph[n]) - set([n])\n for n in self.deterministic_graph}\n print(\"Graph {}:\".format(graph))\n elim_node = min_fill_in_heuristic(graph)\n steps = []\n\n while elim_node is not None:\n print(\"Removing {}:\".format(elim_node))\n steps.append(elim_node)\n nbrs = graph[elim_node]\n\n for u, v in itertools.permutations(nbrs, 2):\n if v not in graph[u]:\n graph[u].add(v)\n\n for u in graph:\n if elim_node in graph[u]:\n graph[u].remove(elim_node)\n\n del graph[elim_node]\n print(\"Graph {}:\".format(graph))\n elim_node = min_fill_in_heuristic(graph)\n\n # check only the first 2 elements for equality\n assert_equals(steps[:2], [6, 5])","def BBS(initial_state, check_dict):\r\n \r\n print(\"Implementing BBS...\")\r\n \r\n q = []\r\n heapq.heappush(q, (initial_state[0][2], initial_state))\r\n accomplished = False\r\n \r\n while len(q) != 0:\r\n path = heapq.heappop(q)[1]\r\n \r\n if is_goal(path[-1][0]):\r\n goal = path\r\n accomplished = True\r\n break\r\n \r\n state_container = next_possible_states(path, check_dict, False)\r\n for i in state_container:\r\n if len(path) <= 1:\r\n temp = list(path)\r\n temp.append(i)\r\n heapq.heappush(q, (i[2], temp))\r\n else:\r\n if i[0] != path[-2][0]:\r\n temp = list(path)\r\n temp.append(i)\r\n heapq.heappush(q, (i[2], temp))\r\n \r\n if accomplished:\r\n print(\"Solved! Number of moves:\", len(goal) - 1)\r\n return goal, True\r\n else:\r\n print(\"Cannot be solved. Number of moves:\", len(path) - 1)\r\n return path, False","def solve(num_wizards, num_constraints, wizards, constraints):\n\n # print(num_wizards)\n # print(num_constraints)\n # print(wizards)\n # print(constraints)\n # node_set = set(wizards)\n \n\n\n def cost(sol,num_constraints,constraints):\n constraints_satisfied = 0\n constraints_failed = []\n output_ordering_map = {k: v for v, k in enumerate(sol)}\n for c in constraints:\n\n m = output_ordering_map # Creating an alias for easy reference\n\n wiz_a = m[c[0]]\n wiz_b = m[c[1]]\n wiz_mid = m[c[2]]\n\n if (wiz_a < wiz_mid < wiz_b) or (wiz_b < wiz_mid < wiz_a):\n constraints_failed.append(c)\n else:\n constraints_satisfied += 1\n return num_constraints - constraints_satisfied\n\n def neighbors(sol):\n wiz1 = random.randint(0,num_wizards-1)\n wiz2 = random.randint(0,num_wizards-1)\n\n new_sol = copy.copy(sol)\n temp = new_sol[wiz1]\n new_sol[wiz1] = new_sol[wiz2]\n new_sol[wiz2] = temp\n \n return new_sol\n\n def acceptance_probability(old_cost,new_cost,T):\n exponent = (old_cost - new_cost) / T\n \n try:\n ans = math.exp(exponent)\n except OverflowError:\n ans = float('inf')\n return ans\n\n\n def anneal(solution, num_constraints, constraints):\n old_cost = 0\n new_cost = 0\n old_cost = cost(solution,num_constraints,constraints)\n T = 1.0\n T_min = 0.000001\n alpha = 0.98\n while T > T_min:\n i = 1\n while i <= 1000:\n new_solution = neighbors(solution)\n new_cost = cost(new_solution,num_constraints,constraints)\n if new_cost == 0:\n return new_solution,new_cost\n ap = acceptance_probability(old_cost, new_cost, T)\n if ap > random.random():\n solution = new_solution\n old_cost = new_cost\n i += 1\n T = T*alpha\n return solution, old_cost\n\n s = copy.copy(wizards)\n random.shuffle(s)\n ret = anneal(s,num_constraints,constraints)\n \n for i in range(10):\n if ret[1] == 0:\n break\n random.shuffle(s)\n new_ret = anneal(s,num_constraints,constraints)\n print(i)\n if new_ret[1] < ret[1]:\n ret = new_ret\n print(\"constraints failed: {0}\".format(ret[1]))\n return ret[0]","def brents(f, x0, x1, max_iter=50, tolerance=1e-5):\n \n fx0 = f(x0)\n fx1 = f(x1)\n \n assert (fx0 * fx1) <= 0, \"Root not bracketed\" \n \n if abs(fx0) < abs(fx1):\n x0, x1 = x1, x0\n fx0, fx1 = fx1, fx0\n \n x2, fx2 = x0, fx0\n \n d = np.nan\n mflag = True\n steps_taken = 0\n \n while steps_taken < max_iter and abs(x1-x0) > tolerance:\n fx0 = f(x0)\n fx1 = f(x1)\n fx2 = f(x2)\n \n if fx0 != fx2 and fx1 != fx2:\n L0 = (x0 * fx1 * fx2) / ((fx0 - fx1) * (fx0 - fx2))\n L1 = (x1 * fx0 * fx2) / ((fx1 - fx0) * (fx1 - fx2))\n L2 = (x2 * fx1 * fx0) / ((fx2 - fx0) * (fx2 - fx1))\n new = L0 + L1 + L2\n \n else:\n new = x1 - ( (fx1 * (x1 - x0)) / (fx1 - fx0) )\n \n tt1 = (new < ((3 * x0 + x1) / 4) or new > x1)\n tt2 = (mflag == True and (abs(new - x1)) >= (abs(x1 - x2) / 2))\n tt3 = (mflag == False and (abs(new - x1)) >= (abs(x2 - d) / 2))\n tt4 = (mflag == True and (abs(x1 - x2)) < tolerance)\n tt5 = (mflag == False and (abs(x2 - d)) < tolerance)\n if (tt1 or\n tt2 or\n tt3 or\n tt4 or\n tt5):\n new = (x0 + x1) / 2\n mflag = True\n \n else:\n mflag = False\n \n fnew = f(new)\n d, x2 = x2, x1\n \n if (fx0 * fnew) < 0:\n x1 = new\n else:\n x0 = new\n \n if abs(fx0) < abs(fx1):\n x0, x1 = x1, x0\n \n steps_taken += 1\n \n return x1, steps_taken","def uniformCostSearch(problem):\n \"*** YOUR CODE HERE ***\"\n path_to_point = {}\n cost_to_point = {}\n\n # Get the start node\n start_node = problem.getStartState()\n fringe_node = [start_node]\n path_to_point[start_node] = []\n cost_to_point[start_node] = problem.getCostOfActions(path_to_point[start_node])\n\n goal_found = False\n\n while(not goal_found):\n #for i in range(100): \n nodes_to_expand = set()\n # get max value node in the fringe node\n min_val = float(\"inf\")\n for one_node in fringe_node:\n # Compute the cost to reach a node\n if cost_to_point[one_node] < min_val:\n min_val = cost_to_point[one_node]\n \n for one_node in fringe_node:\n # Compute the cost to reach a node\n if cost_to_point[one_node] == min_val:\n nodes_to_expand.add(one_node)\n fringe_node.remove(one_node)\n\n # Expand the fringe node \n for one_node in nodes_to_expand:\n path_to_parent = path_to_point[one_node]\n for nxt_node in problem.getSuccessors(one_node):\n pos = nxt_node[0]\n mv = nxt_node[1]\n # check if point already present in path to point\n prev_cost = float(\"inf\")\n if pos in cost_to_point:\n prev_cost = cost_to_point[pos]\n new_path = path_to_parent + [mv]\n if prev_cost > problem.getCostOfActions(new_path):\n path_to_point[pos] = new_path\n cost_to_point[pos] = problem.getCostOfActions(new_path)\n fringe_node.append(pos)\n\n # Check if destination is reached in the fringe node\n for one_node in fringe_node:\n if problem.isGoalState(one_node):\n final_node = one_node\n goal_found = True\n break\n \n #print(len(fringe_node))\n print(final_node)\n print(path_to_point[final_node])\n return path_to_point[final_node] \n\n util.raiseNotDefined()","def BFS(initial_state, check_dict):\r\n \r\n print(\"Implementing BFS...\")\r\n q = deque()\r\n q.append(initial_state)\r\n accomplished = False\r\n \r\n while len(q) != 0:\r\n path = q.pop()\r\n \r\n if is_goal(path[-1][0]):\r\n goal = path\r\n accomplished = True\r\n break\r\n \r\n state_container = next_possible_states(path, check_dict, False)\r\n for i in state_container:\r\n if len(path) <= 1:\r\n temp = list(path)\r\n temp.append(i)\r\n q.appendleft(temp)\r\n else:\r\n if i[0] != path[-2][0]:\r\n temp = list(path)\r\n temp.append(i)\r\n q.appendleft(temp)\r\n\r\n \r\n if accomplished:\r\n print(\"Solved! Number of moves:\", len(goal) - 1)\r\n return goal, True\r\n else:\r\n print(\"Cannot be solved. Number of moves:\", len(path) - 1)\r\n print(path)\r\n return path, False","def fn(i, j):\n grid2[i][j] = 0 # mark as visited \n ans = grid1[i][j]\n for ii, jj in (i-1, j), (i, j-1), (i, j+1), (i+1, j): \n if 0 <= ii < m and 0 <= jj < n and grid2[ii][jj]: \n ans &= fn(ii, jj)\n return ans","def get_change_recursive(m):\n if m < 0:\n raise ValueError(\"Invalid negative amount\")\n if m == 0:\n raise ValueError(\"ok 0 moves, but this shouldn't happen either.\")\n\n if m in [1, 3, 4]:\n return 1\n\n alt_paths = [get_change_recursive(m-1)]\n\n if m > 3:\n alt_paths.append(get_change_recursive(m-3))\n if m > 4:\n alt_paths.append(get_change_recursive(m-4))\n\n return min(alt_paths) + 1","def BestFS(initial_state, check_dict):\r\n \r\n print(\"Implementing BestFS...\")\r\n q = []\r\n q.append(initial_state)\r\n accomplished = False\r\n \r\n while len(q) != 0:\r\n path = q.pop()\r\n \r\n if is_goal(path[-1][0]):\r\n goal = path\r\n accomplished = True\r\n break\r\n \r\n state_container = next_possible_states(path, check_dict, False)\r\n for i in state_container:\r\n if len(path) <= 1:\r\n temp = list(path)\r\n temp.append(i)\r\n q.append(temp)\r\n else:\r\n if i[0] != path[-2][0]:\r\n temp = list(path)\r\n temp.append(i)\r\n q.append(temp)\r\n \r\n q.sort(key = lambda x: x[-1][2], reverse = True)\r\n \r\n if accomplished:\r\n print(\"Solved! Number of moves:\", len(goal) - 1)\r\n return goal, True\r\n else:\r\n print(\"Cannot be solved. Number of moves:\", len(path) - 1)\r\n print(path)\r\n return path, False","def mc_problem(start=(3, 3, 1, 0, 0, 0), goal=None):\n if goal is None:\n goal = (0,0,0) + start[:3]\n if start == goal:\n return [start]\n explored = set() #set of states we have visited\n frontier = [[start]] #ordered list of paths we have blazed\n while frontier:\n path = frontier.pop(0)\n s = path[-1]\n for (state, action) in csuccessors(s).items():\n if state not in explored:\n explored.add(state)\n path2 = path + [action, state]\n if state == goal:\n return path2\n else:\n frontier.append(path2)\n return fail","def BFS(maze: list, start: tuple, goal: tuple):\n n = len(maze) # Get the dimension of the maze\n\n #========================================#\n # Some data checking statements\n\n if (not is_valid(start, n)):\n print(\"BFS: Start indices outside maze dimensions\")\n return False\n elif (not is_valid(goal, n)):\n print(\"BFS: Goal indices outside maze dimensions\")\n return False\n\n # End data checking statements\n #========================================#\n\n number_of_nodes_visited = 0\n visited = copy.deepcopy(maze) # We can use a copy of the maze to keep track of visited squares (Considered using a set here, thought that time efficiency was important)\n # visited = list(map(list, maze)) # Alternative to using copy.deepcopy\n\n # Initialize a matrix of the same size as maze where each value is None.\n previous = [[None for i in range(n)] for j in range(n)]\n\n queue = deque() # Define our queue of \"fringe\" squares\n queue.append(start) # Push the start square into our queue\n visited[start[0]][start[1]] = 1 # Set our start to visited\n\n while (len(queue)): # While there exists items in the queue\n current = queue.popleft() # Pop the square at index 0\n number_of_nodes_visited += 1 # Increase number of nodes visited\n\n if (current == goal): # If current is the goal, we found it!\n # We now want to traverse back to make a path using our 'previous' matrix\n path = []\n while (current != None):\n path.append(current)\n current = previous[current[0]][current[1]]\n path.reverse()\n return (True, path, number_of_nodes_visited)\n\n current_i, current_j = current # Unpack the current pair\n \n # Now we want to add all unvisited squares that are possible to get to from the current square\n for i in range(len(nearby_offsets)):\n offset_i, offset_j = nearby_offsets[i]\n possible = (current_i + offset_i, current_j + offset_j)\n # print(f\"Current possible: {possible_i} {possible_j}\") # DEBUG\n if (is_valid(possible, n)): # If the calculated square is within the maze matrix\n # If possible has not been visited yet\n if (not visited[possible[0]][possible[1]]):\n queue.append(possible) # Add possible to our queue\n # Set possible to visited\n visited[possible[0]][possible[1]] = 1\n # Set the previous square for possible to the current square\n previous[possible[0]][possible[1]] = current\n # If the while loop goes out, and the queue is empty, then there is no possible path\n return (False, [], number_of_nodes_visited)","def factorialb(m): #defining this solution as factorialb - factorial option b\n ans = 1\n for i in range(2, m + 1):\n ans = ans * i\n return ans","def fastestWay( a, t, e, x, n ):\n import pdb;pdb.set_trace() \n f1.append( ( e[0] , 1 ) )\n f2.append( ( e[1] , 2 ) )\n for i in xrange(n):\n f11 = f1[i][0]+a[0][i]\n f12 = f2[i][0]+a[1][i]+t[1][i+1]\n f22 = f2[i][0]+a[1][i]\n f21 = f1[i][0]+a[0][i]+t[0][i+1]\n\n f1.append( ( min( f11, f12 ), 1 ) if f11 < f12 else ( min( f11, f12 ), 2 ) )\n f2.append( ( min( f21, f22 ), 2 ) if f22 < f21 else ( min( f22, f21 ), 1 ) )\n\n f1x, f2x = f1[n][0]+x[0], f2[n][0]+x[1] \n return ( min( f1x, f2x ) , f1 ) if f1x < f2x else ( min( f1x, f2x ), f2 )","def solution(n, s, a, b, fares):\n\n table = [[float(\"inf\")]*n for _ in range(n)]\n for (c, d, f) in fares:\n table[c-1][d-1] = f\n table[d-1][c-1] = f\n\n for idx in range(n):\n table[idx][idx] = 0\n\n # do floyd to find all shortest paths\n for kdx in range(n):\n for idx in range(n):\n for jdx in range(n):\n table[idx][jdx] = min(table[idx][jdx], table[idx][kdx] + table[kdx][jdx])\n \n# for row in table:\n# print(row)\n \n answer = table[s-1][a-1] + table[s-1][b-1]\n # print(\"seperate:\", answer)\n for idx in range(n):\n # print(\"idx 경유:\", idx, table[s-1][idx] + table[idx][a-1] + table[idx][b-1])\n answer = min(answer, table[s-1][idx] + table[idx][a-1] + table[idx][b-1])\n\n # print(\"answer:\", answer)\n return answer","def a_star_alg(self, p1: int, p2: int, max_level: int = 1000):\r\n \r\n # Create start and end node\r\n start_node = Node(None, p1, self.node_dict[p1])\r\n start_node.g = start_node.h = start_node.f = 0\r\n end_node = Node(None, p2, self.node_dict[p2])\r\n end_node.g = end_node.h = end_node.f = 0\r\n\r\n # Initialize both open and closed list\r\n open_list = []\r\n closed_list = []\r\n\r\n # Add the start node\r\n open_list.append(start_node)\r\n\r\n # Loop until you find the end\r\n level = 0\r\n while len(open_list) > 0 and level < max_level:\r\n level += 1\r\n\r\n # Get the current node (the node in open_list with the lowest cost)\r\n current_node = open_list[0]\r\n current_index = 0\r\n for index, item in enumerate(open_list):\r\n if item.f < current_node.f:\r\n current_node = item\r\n current_index = index\r\n\r\n # Pop current off open list, add to closed list\r\n open_list.pop(current_index)\r\n closed_list.append(current_node)\r\n\r\n # Found the goal\r\n if current_node == end_node:\r\n path = []\r\n distance = current_node.g\r\n current = current_node\r\n while current is not None:\r\n path.append(current.number)\r\n current = current.parent\r\n\r\n return path[::-1], distance # Return reversed path\r\n\r\n # Generate children\r\n children = []\r\n for new_number in self.road_tree[current_node.number]: # Adjacent nodes\r\n new_node = Node(current_node, new_number, self.node_dict[new_number])\r\n children.append(new_node)\r\n\r\n # Loop through children\r\n for child in children:\r\n append_to_open_list = False\r\n\r\n # Create the f, g, and h values\r\n child.g = current_node.g + self.road_dict[(current_node.number, child.number)]\r\n child.h = sqrt((child.x - end_node.x) ** 2 + (child.y - end_node.y) ** 2) / 200\r\n child.f = child.g + child.h\r\n\r\n # Child is already in the closed list\r\n closed_list, append_to_open_list = self.check_in_list(child, closed_list, append_to_open_list)\r\n\r\n # Child is already in the open list\r\n open_list, append_to_open_list = self.check_in_list(child, open_list, append_to_open_list)\r\n\r\n # Add the child to the open list\r\n if append_to_open_list:\r\n open_list.append(child)\r\n\r\n return [], 1e10","def fast(maze):\n # TODO: Write your code here\n pq = []\n visited = {}\n\n goals = maze.getObjectives()\n goals_pq = new_pq(maze, goals, maze.getStart())\n\n f, curr_goal = heapq.heappop(goals_pq)\n heapq.heappush(pq, (f, [maze.getStart()]))\n\n while len(pq) > 0:\n curr_path = heapq.heappop(pq)[1]\n curr = curr_path[-1]\n\n if curr in visited:\n continue\n heuristic = closest(maze, curr, curr_goal)\n\n f = heuristic + len(curr_path) - 1\n visited[curr] = f\n if curr in goals:\n goals.remove(curr)\n if len(goals) == 0:\n return curr_path\n else:\n # print(\"before\")\n # print(curr_goal)\n goals_pq = new_pq(maze, goals, curr)\n f, curr_goal = heapq.heappop(goals_pq)\n # print(\"after\")\n # print(curr_goal)\n pq = []\n heapq.heappush(pq, (f, curr_path))\n visited.clear()\n continue\n for item in maze.getNeighbors(curr[0], curr[1]):\n heuristic = closest(maze, item, curr_goal)\n new_f = heuristic + len(curr_path) - 1\n if item not in visited:\n heapq.heappush(pq, (new_f, curr_path + [item]))\n else: # checks if overlap has smaller f\n if new_f < visited[item]:\n visited[item] = new_f\n heapq.heappush(pq, (new_f, curr_path + [item]))\n return []","def recursion(n, m):\n try:\n return 'Input whole positive numbers!' if n <= 0 or m <= 0 else n**m \\\n if n == 1 else n**m + recursion(n-1, m)\n except TypeError:\n return 'Input whole positive numbers!'","def optimal_sequence_bfs_nested(n):\n if n == 1:\n return [1]\n\n ops = [\n lambda n: 0 if n % 3 else n // 3,\n lambda n: 0 if n % 2 else n // 2,\n lambda n: n - 1\n ]\n\n solution = None\n queue = [ (n,) ]\n try:\n while True:\n previous = queue\n queue = []\n for steps in previous:\n for new in [ op(steps[0]) for op in ops ]:\n if new == 1:\n solution = steps\n raise SolutionFound\n if new > 1:\n queue.append((new, steps))\n except SolutionFound:\n pass\n sequence = [1]\n try:\n while True:\n sequence.append(solution[0])\n solution = solution[1]\n except IndexError:\n pass\n return sequence","def CustomShortestPath(p1,p2,m,n):\n L = [m,n]\n custompath=[]\n custompath.append(list(p1)) #add the start positon\n randnum1 = int(random.random()*2)#generate a random order to correct in\n randnum2 = 0\n if randnum1 == 0:\n randnum2 = 1\n for i in [randnum1,randnum2]:\n while p1[i] != p2[i]: #havent reached end of path\n if p1[i] - p2[i]>0: #p1 to the right or below of p2\n if abs(p1[i]-p2[i]) > L[i] - abs(p1[i]-p2[i]):#if its faster to jump\n if p1[i] == L[i]-1: #reached edge\n p1[i] = 0\n else:\n p1[i] = p1[i]+1 #move closer to edge\n\n else: #if direct is faster\n p1[i] = p1[i]-1 #move right or down\n custompath.append(list(p1))\n\n else: #p1 to the left or above of\n if abs(p1[i]-p2[i]) > L[i] - abs(p1[i]-p2[i]):#if faster to jump\n if p1[i] == 0: #reached edge\n p1[i] = L[i]-1\n else:\n p1[i] = p1[i]-1 #move closer to edge\n\n else:#if direct is faster\n p1[i] = p1[i]+1 #move right or down\n custompath.append(list(p1))\n return(custompath)","def breadthFirstSearch(problem):\n \"*** YOUR CODE HERE ***\"\n # Get the start node\n start_state = problem.getStartState()\n print(start_state)\n\n # Define a stack\n plan_stack = util.Queue()\n start_plan = [start_state] # node, cost\n plan_stack.push(start_plan)\n\n # Visited nodes\n visited_nodes = set(start_state)\n\n goal_found = False\n\n while not goal_found:\n # Get the plan from the stack\n plan_to_expand = plan_stack.pop()\n node_to_exp = plan_to_expand[-1]\n all_nxt_nodes = problem.getSuccessors(node_to_exp)\n\n # Traverse through all the next nodes\n for nxt_node in all_nxt_nodes:\n nxt_pos = nxt_node[0]\n\n if nxt_pos in visited_nodes: # Check if node is already visited\n continue\n\n visited_nodes.add(nxt_pos) # Add the node to visited nodes\n nxt_plan = plan_to_expand + [nxt_pos] # add node to the plan\n plan_stack.push(nxt_plan) # push the plan into the stack\n goal_found = problem.isGoalState(nxt_pos) # Check if goal is achieved\n if goal_found:\n break\n \n \n print(goal_found)\n print(nxt_plan)\n\n moves = []\n # Convert plan to moves\n for i in range(len(nxt_plan) - 1):\n for nxt_node in problem.getSuccessors(nxt_plan[i]):\n nxt_pos = nxt_node[0]\n nxt_mv = nxt_node[1]\n if nxt_pos == nxt_plan[i+1]:\n moves.append(nxt_mv)\n break\n \n return moves\n\n \n\n # Calculate the minimum plan cost \n #min_val = float(\"inf\")\n #for one_plan in plan_stack:\n # plan_cost = one_plan[1]\n # if plan_cost < min_val:\n # min_val = plan_cost\n\n ## Expand the nodes with minimum plan cost\n #for one_plan in plan_stack:\n # plan_cost = one_plan[1]\n # if plan_cost == min_val:\n # plan_step = one_plan[0] \n # # Expand the last node of plan\n # last_node = plan_step[end]\n # for nxt_node in problem.getSuccessors(last_node):\n\n\n\n util.raiseNotDefined()","def minMoves(maze, x, y):\n\n def maze_guard():\n \"\"\"Guard function to block oversized dimensions\"\"\"\n cell_guard = all([1 <= len(row) <= 100 for row in maze])\n row_guard = 1 <= len(maze) <= 100\n return cell_guard and row_guard\n\n def walk_maze(finish):\n \"\"\"Walks the maze, finding the shortest path including all coins.\n Finishes when reach the coordenate finish, a tuple with row and\n column numbers\n \"\"\"\n i, j = (0, 0)\n result = -1\n weight = -1\n while nodes:\n i, j, path, coins = nodes.popleft()\n cell = maze[i][j]\n if (i, j) == finish:\n weight, result = check_result(coins, path, weight, result)\n elif cell != 1:\n adjacent_nodes(i, j, path, coins)\n\n return result\n\n def adjacent_nodes(i, j, path, coins):\n \"\"\"Adds the node in positions i, j, with its path added to\n accumulated path. The path is transformed into a binary\n number, i.e, 2 ** (i * n + j), being n the number of rows\n in the maze matrix.\n \"\"\"\n def neighbour(x, y):\n this_path = 2 ** (i * n + j)\n if not this_path & path:\n coin = coins + 1 if maze[i][j] == 2 else coins\n nodes.append((x, y, path + this_path, coin))\n\n coord = [(i + 1, j, i + 1 < n), (i - 1, j, i - 1 >= 0),\n (i, j + 1, j + 1 < m), (i, j - 1, j - 1 >= 0)]\n _ = [neighbour(x, y) for x, y, test in coord if test]\n\n if not maze_guard():\n return -1\n\n n = len(maze)\n m = len(maze[0])\n nodes = deque([(0, 0, 0, 0)])\n return walk_maze((x, y))","def _brute_force(self):\n if self.N > 9:\n #print(\"Input set is too big for brute force estimation.\")\n self.best_path = None\n else:\n #print(\"Number of permutations to check: {}\".format(math.factorial(self.N)))\n #init = \n A = self._P + np.finfo(np.float).eps\n A = (A + (1-A).T)/2\n for i in range(A.shape[0]):\n A[i,i] = np.finfo(np.float).eps\n init = (A>0.5).sum(axis=1).argsort()[::-1]\n #--- use log(p(Y=1\\mid s',s)) to shift multiplication to sum\n lP = np.log(A)\n for i in range(lP.shape[0]):\n lP[i,i] = 0\n #init_cost = 0\n ##--- lP[x:x+1] está MAL hay que sumar respecto a i+1 en z, no en lP.\n #for i in range(len(init)-1):\n # init_cost += lP[init[i],init[i+1]:].sum()\n z_star = []\n z_cost = -np.inf\n for z in permutations(range(self.N)):\n cost = 0\n for i in range(len(z)-1):\n cost += lP[z[i],z[i+1:]].sum()\n if cost > z_cost:\n z_cost = cost\n z_star = z\n self.best_path = np.array(z_star)","def solve(problem):\n\n # *** YOUR CODE HERE ***\n\n # The core of Iterative Deepening Search are iterations of Depth Limited\n # Search with given increasing depth.\n\n # A recursive version of Depth Limited Search\n def depth_limited_search(problem, limit):\n \"\"\"\n Return a list of nodes we traversed (or None).\n :param problem: the starting set up.\n :param limit: a given numeric depth limit.\n :return: a list of nodes.\n \"\"\"\n\n # in this case, we simply use a list to keep track of nodes we\n # traversed, instead of the data structure, Stack.\n path = list()\n visited = set() # as before, to prevent duplicated nodes\n root = problem.get_initial_state()\n\n def rec_dls(state, action, depth):\n\n visited.add(state)\n\n # if it is a goal\n if problem.goal_test(state):\n path.append((state, action))\n return path\n\n # or if it reaches a certain depth, but not a goal\n elif depth == 0:\n visited.remove(state)\n return None\n\n else:\n path.append([state, action])\n for successor, action, cost in problem.get_successors(state):\n if successor not in visited:\n # recursively expands the deepest node\n res = rec_dls(successor, action, depth-1)\n if res is not None:\n return res\n path.pop()\n visited.remove(state)\n\n # \"Stared From the Bottom\" (root)\n result = rec_dls(root, 'None', limit)\n # return the path if the we DID have achieved something\n if result is not None:\n return path\n\n import sys\n for depth in range(sys.maxsize): # depth from 0 to infinity\n print(\"Lower-bound of the optimal cost is {}\".format(depth))\n res2 = depth_limited_search(problem, depth)\n if res2 is not None:\n action_list = list()\n for move in res2:\n action_list.append(move[1]) # recall index 0 is the parent\n # do not forget a None returned in iteration 0 (with depth 0)\n action_list.remove('None')\n return action_list","def floyd_fill(methods=0):\n\n # Set each node's tentative distance to other nodes to a value\n # greater than the greatest possible distance.\n # On Game Boy, the greatest possible distance is log2(sizeof_actor)*2.\n bestdist = [\n bytearray(0 if i == j else 0xFF for j in range(sizeof_actor))\n for i in range(sizeof_actor)\n ]\n # The ID of the first step through which the bestdist is reached.\n bestnode = [\n bytearray(i if i != j else 0xFF for j in range(sizeof_actor))\n for i in range(sizeof_actor)\n ]\n\n # distance to all neighbors\n for i in range(sizeof_actor):\n for j, d in neighbors(i, methods).items():\n bestnode[i][j], bestdist[i][j] = j, d\n\n for j in range(sizeof_actor):\n for i in range(sizeof_actor):\n if i == j: continue\n dij, nij = bestdist[i][j], bestnode[i][j]\n if dij == 0xFF: continue\n for k, djk in enumerate(bestdist[j]):\n if i == k or j == k: continue\n dik = bestdist[i][k]\n dijk = dij + djk\n # If the best distance to K is via J, mark it so\n if dijk < dik:\n bestdist[i][k], bestnode[i][k] = dijk, nij\n return bestdist, bestnode","def next_state_generation(state, target, operators):\n current_swap_state = ''\n current_swap_res = sys.maxsize\n current_change_state = ''\n current_change_res = sys.maxsize\n # for swapping\n for i in range(0, len(state), 2):\n for j in range(2, len(state), 2):\n new_swap_state, swap_res = swap(i, j, state, target)\n if current_swap_res > swap_res:\n current_swap_res = swap_res\n current_swap_state = new_swap_state\n # for changing\n for i in range(1, len(state) - 1, 2):\n new_change_state, change_res = change(i, random.choice(operators), state, target)\n if current_change_res > change_res:\n current_change_res = change_res\n current_change_state = new_change_state\n # return the lowest of the 2 value and state amongst swapping and changing operations\n print(\"Swap res:\", current_swap_res)\n print(\"Change res:\", current_change_res)\n if current_swap_res < current_change_res:\n print(\"Best State \", current_swap_state)\n print(\"Distance from target: \", current_swap_res)\n print()\n return current_swap_state, current_swap_res\n else:\n print(\"Best State \", current_change_state)\n print(\"Distance from target: \", current_change_res)\n print()\n return current_change_state, current_change_res","def main():\n\n N, k = map(int, sys.stdin.readline().split())\n initial_state = tuple( map(int, sys.stdin.readline().split()) )\n final_state = tuple( map(int, sys.stdin.readline().split()) )\n\n init_path = [initial_state]\n all_paths = [init_path]\n\n visited_states = set()\n visited_states.add(initial_state)\n\n while all_paths:\n popped_path = all_paths.pop(0)\n current_state = popped_path[-1]\n\n if current_state == final_state:\n solution = popped_path\n break\n\n for state, action in generate_moves(current_state, N, k).items():\n if state not in visited_states:\n visited_states.add(state)\n new_path = popped_path + [action,state]\n all_paths.append(new_path)\n\n display_solution(solution)","def fn(i, j, mv):\n if not (0 <= i < m and 0 <= j < n): return 1 \n if mv == 0: return 0\n return (fn(i-1, j, mv-1) + fn(i, j-1, mv-1) + fn(i, j+1, mv-1) + fn(i+1, j, mv-1)) % 1_000_000_007","def modinverse(a: int, m: int) -> int:\n if SHOW_WORKING: print(f\"modinverse(a, m) = modinverse({a}, {m})\")\n if SHOW_WORKING: print(f\"\\tWe want to find some x & y such that {a} * x + {m} * y = 1\")\n\n if a < 0 or m <= 0:\n raise ValueError(\"a must be non-negative and m must be positive\")\n\n if SHOW_WORKING: print(f\"Find gcd(a, b) = gcd({a}, {m})\")\n if m > a:\n if SHOW_WORKING: print(f\"\\tb > a. Set r1[0] := m = {m} and r2[0] := a = {a} so that r1[0] > r2[0\")\n r1s, r2s = [m], [a]\n else:\n if SHOW_WORKING: print(f\"\\ta >= b. Set r1[0] := a = {a} and r2[0] := m = {m} so that r1[0] >= r2[0]\")\n r1s, r2s = [a], [m] \n\n if SHOW_WORKING: print(f\"\\tProceeding with algorithm until r2 hits 0. gcd({a}, {m}) will be the ending r1 value:\")\n qs = []\n i = 0\n while r2s[-1] != 0:\n i += 1\n\n if SHOW_WORKING: print(f\"\\t\\tSet q[{i - 1}] := floor(r1[{i - 1}] / r2[{i - 1}]) = floor({r1s[i - 1]} / {r2s[i - 1]}) = floor({round(r1s[i - 1] / r2s[i - 1], 2)}) = {r1s[i - 1] // r2s[i - 1]}\")\n qs.append(r1s[i - 1] // r2s[i - 1])\n\n if SHOW_WORKING: print(f\"\\t\\tSet (r1[{i}], r2[{i}]) := (r2[{i - 1}], r1[{i - 1}] - r2[{i - 1}] * q[{i - 1}]) = ({r2s[i - 1]}, {r1s[i - 1]} - {r2s[i - 1]} * {qs[i - 1]}) = ({r2s[i - 1]}, {r1s[i - 1] - r2s[i - 1] * qs[i - 1]})\")\n r1, r2 = r2s[i - 1], r1s[i - 1] - r2s[i - 1] * qs[i - 1]\n r1s.append(r1)\n r2s.append(r2)\n\n if SHOW_WORKING: print(\"\\t\\t -\")\n \n if SHOW_WORKING: print(f\"\\tStopping condition hit (r2[{i}] = 0). Result of gcd({a}, {m}) is r1[{i}] = {r1s[-1]}\")\n\n if r1s[-1] != 1:\n if SHOW_WORKING: print(f\"\\t{a} has no inverse modulo {m} because gcd({a}, {m}) = {r1s[-1]} != 1 (they must be coprime)\")\n return None\n\n if SHOW_WORKING: print(f\"\\n\\tBegin working backwards:\")\n\n def getnestedexpressionstr(leftstr: str, nestedr1r2q: List[Union[int, List[int]]], rightstr: str) -> str:\n if SHOW_WORKING: print(f\"\\t\\tgetnestedexpressionstr('{leftstr}', {nestedr1r2q}, '{rightstr}')\")\n r1: int = nestedr1r2q[0]\n r2: Union[int, List[int]] = nestedr1r2q[1]\n q: int = nestedr1r2q[2]\n if SHOW_WORKING: print(f\"\\t\\t\\tr1 = {r1}, r2 = {r2}, q = {q}\")\n\n if isinstance(r2, int):\n return f\"{leftstr}{r1} - {r2} * {q}{rightstr}\"\n \n if leftstr == rightstr == '':\n return getnestedexpressionstr(f\"{r1} - (\", r2, f\") * {q}\")\n\n return getnestedexpressionstr(f\"{leftstr}{r1} - (\", r2, f\") * {q}{rightstr}\")\n\n def backtrack(index: int, nestedr1r2q: List[Union[int, List[int]]]) -> List[Union[int, List[int]]]:\n \"\"\"Provided an index and an ordered list representing the r1, r2, and q values of the equation\n r1 - r2 * q, this function returns another list where r2 has been broken down to the parts of \n its equation on the previous indexed equation, e.g. if the 3rd and 4th equations from the GCD \n algorithm are:\n (3): r1 - r2 * q2 = 4 - 4 * 1\n (4): r1 - r2 * q2 = 3 - 1 * 3\n then: \n backtrack(4, [3, 1, 3]) -> [3, [4, 3, 1], 3].\n \n This also works when the middle element of the list (the r2 element) is given as a list of parts,\n e.g., if we follow the previous example where additionally equation 2 is:\n (2): r1 - r2 * q2 = 11 - 4 * 2\n then:\n backtrack(3, [3, [4, 3, 1], 3]) -> [3, [4, [11, 4, 2], 1], 3].\"\"\"\n \n if SHOW_WORKING: print(f\"\\t\\tbacktrack({index}, {nestedr1r2q})\")\n\n if index <= 0:\n raise ValueError(\"Can't backtrack from here, please supply a positive index\")\n \n r1: int = nestedr1r2q[0]\n r2: Union[int, List[int]] = nestedr1r2q[1]\n q: int = nestedr1r2q[2]\n\n if index == 1:\n return [r1, [r1s[0], r2s[0], qs[0]], q]\n\n return [r1, backtrack(index - 1, [r1s[index - 1], r2s[index - 1], qs[index - 1]]), q]\n\n if i - 2 > 0:\n expression = backtrack(i - 2, [r1s[i - 2], r2s[i - 2], qs[i - 2]])\n\n nestedexpressionstr: str = getnestedexpressionstr('', expression, '')\n nestedexpressionstr = nestedexpressionstr.replace(str(a), 'a').replace(str(m), 'm')\n\n if SHOW_WORKING: print(f\"\\t\\t{nestedexpressionstr}\")\n if SHOW_WORKING: print(f\"\\t\\t{sympy.simplify(nestedexpressionstr)}\")\n\n x, y = sympy.core.numbers.igcdex(a, m)[:2]\n if SHOW_WORKING: print(f\"\\ta * x + m * y = 1 -> {a} * {x} + {m} * {y} = 1\")\n\n if SHOW_WORKING: print(f\"\\tmodinverse({a}, {m}) = {x}\\t(mod {m}) = {x % m}\")\n \n return x % m","def foodHeuristic(state, problem):\n import itertools\n\n\n\n def manhattan(startPosition, targetPosition):\n xy1 = startPosition\n xy2 = targetPosition\n return abs(xy1[0] - xy2[0]) + abs(xy1[1] - xy2[1])\n\n position, foodGrid = state\n\n return len(foodGrid.asList())\n #\n # \"\"\"\n # The below algorithm is from:\n # https://stackoverflow.com/questions/9994913/pacman-what-kinds-of-heuristics-are-mainly-used\n #\n # Find real/manhattan distance between two currently furthest fruits in labyrinth - let's call that x.\n # Find real/manhattan distance from current Pacman position to the closer of previous two fruits - let's call that y.\n # Then, answer is just: x + y.\n # The interpretation of this x + y formula could be something like this:\n #\n # x - either way, you will have to travel this distance, at least at the end\n # y - while you are at the some of the two furthest fruits, it's better to collect\n # the food that is near to it so you don't have to go back\n # \"\"\"\n # maxFoodPairDistance = 0\n #\n # if len(foodGrid.asList()) >= 2:\n #\n # #calculate manhattan/real distance between each pair of food (all permutations in foodGrid) and find the maximum of them, and\n # #store the pair with max distance in maxFoodPair\n # for foodPair in itertools.permutations(foodGrid.asList(),2):\n # #foodPairDistance = mazeDistance(foodPair[0], foodPair[1], problem.startingGameState)\n # foodPairDistance = manhattan(foodPair[0], foodPair[1])\n # if foodPairDistance >= maxFoodPairDistance:\n # maxFoodPairDistance = foodPairDistance\n # maxFoodPair = foodPair\n #\n # #get the real distance between pacman and nearest food among the max distance food pair we get above. Using real distance instead\n # #of manhattan distance here just to \"reduce\" the number of nodes expand to get additional point. But that's a bit of a cheating\n # #because the mazeDistance function use of breadth First search - which itself is a search with nodes expansion not counted here\n # #minPacmanToFoodDistance = min([mazeDistance(position, foodPosition, problem.startingGameState) for foodPosition in maxFoodPair])\n # minPacmanToFoodDistance = min([manhattan(position, foodPosition) for foodPosition in maxFoodPair])\n #\n # #When only one food left, just return the real distance between pacman and food\n # elif len(foodGrid.asList()) == 1:\n # foodPosition = foodGrid.asList()[0]\n # #minPacmanToFoodDistance = mazeDistance(position, foodPosition, problem.startingGameState)\n # minPacmanToFoodDistance = manhattan(position, foodPosition)\n # else:\n # minPacmanToFoodDistance = 0\n #\n # return minPacmanToFoodDistance + maxFoodPairDistance","def bi_dijkstra(graph, source1, source2):\n\n graph_up, graph_down, H_up, H_down = framework(graph, source1, source2)\n\n found_source2_after = [np.Inf, None]\n found_source1_after = [np.Inf, None]\n min_down = None\n while not H_up.is_empty() or H_down.is_empty():\n\n min_up = H_up.remove_min()\n\n # if newly extracted node from H_up is equal to destination,end process,\n # taking into account also previously stored distances and nodes of the \n # destination found in some adjacent lists\n if min_up == graph.Dictionary[source2]:\n\n return one_way_path(min_up, min_up.distance, found_source2_after, found_source1_after)\n \n for passage, vertice, weight in min_up.adj_list:\n\n bi_relax(H_up, min_up, graph_up.Dictionary[vertice], weight, passage, graph_up)\n \n # if destination is in the adjacent list, take that into account storing distance and node\n if vertice == source2:\n found_source2_after = [graph_up.Dictionary[vertice].distance, copy.deepcopy(graph_up.Dictionary[vertice])]\n\n if min_down is not None:\n # if the newly extracted node from H_up is equal to the previously extracted node in H_down, end process\n # taking into account also previously stored distances and nodes of the destination found in some adjacent lists\n if min_up == min_down:\n\n return path(min_up, min_down, min_up.distance + min_down.distance, found_source2_after, found_source1_after)\n\n min_down = H_down.remove_min()\n\n # if newly extracted node from H_down is equal to destination, end process\n # taking into account also previously stored distances and nodes of the \n # destination found in some adjacent lists\n if min_down == graph.Dictionary[source1]:\n\n return one_way_path(min_down, min_down.distance, found_source2_after, found_source1_after)\n \n for passage, vertice, weight in min_down.ancestors:\n\n bi_relax(H_down, min_down, graph_down.Dictionary[vertice], weight, passage, graph_down)\n \n # if destination is in the adjacent list, take that into account storing distance and node\n if vertice == source1:\n found_source1_after = [graph_down.Dictionary[vertice].distance, copy.deepcopy(graph_down.Dictionary[vertice])]\n\n # if the extracted nodes from H_up and H_down, end process taking into account also \n # previously stored distances and nodes of the destination found in some adjacent lists\n if min_up == min_down:\n\n return path(min_up, min_down, min_up.distance + min_down.distance, found_source2_after, found_source1_after)","def breadthFirstSearch(problem):\n from game import Directions\n North = Directions.NORTH\n South = Directions.SOUTH\n East = Directions.EAST\n West = Directions.WEST \n \n pathDict = {}\n visited = set()\n #visited start\n visited.add(problem.getStartState())\n #initial successors\n successor = problem.getSuccessors(problem.getStartState())\n for initSucc in successor:\n pathDict[initSucc[0]] = [initSucc[1]]\n #loop\n while (1):\n #if fringe = null, return failure\n if (len(successor) == 0):\n print \"Fringe is empty\"\n return util.raiseNotDefined()\n #(v, path) = fringe.pop\n succLocation = successor[0][0]\n succDirection = successor[0][1]\n del successor[0]\n #if isGoal = true, return path\n if problem.isGoalState(succLocation):\n return pathDict[succLocation]\n #if visited = false\n if succLocation not in visited:\n #visited = true\n visited.add(succLocation)\n #L = expand(v,path)\n tempSuccList = problem.getSuccessors(succLocation)\n #Fringe <- L\n for succ in tempSuccList:\n repeat = False\n for s in successor:\n if (s[0] == succ[0]):\n repeat = True\n if (repeat == False):\n successor.append(succ)\n pathDict[succ[0]] = []\n pathDict[succ[0]].extend(pathDict[succLocation])\n pathDict[succ[0]].append(succ[1])","def grid_traveller(m: int, n: int):\n\n if m == 1 and n == 1:\n return 1\n if m == 0 or n == 0:\n return 0\n return grid_traveller(m - 1, n) + grid_traveller(m, n - 1)","def new_permutation(V,m,adj):\r\n\r\n global tent\r\n\r\n perm = V.copy()\r\n \r\n \"\"\" try to select two vertices to swipe wisely. \"\"\"\r\n \r\n #we select 1 vertex among the m first vertices\r\n p1 = randint(0,m-1)\r\n \r\n #we select 1 vertex among the vertices left\r\n p2 = randint(m,len(V)-1)\r\n\r\n def comp(p1,p2,adj,perm):\r\n \"\"\"\r\n retrieve the degree of the 2 vertices and\r\n compare the degree\r\n Args:\r\n p1 (int): index of the vertex\r\n p2 (int): index of the vertex\r\n adj (set): set of the edges\r\n perm (int): current permutation of the vertices\r\n\r\n Returns:\r\n bool: true if degree of p2 is higher than the one of p1 ,false otherwise\r\n \"\"\"\r\n #degree of p1\r\n f1 = 0\r\n #degree of p2\r\n f2 = 0\r\n \r\n #compute the degrees\r\n for i in range(m):\r\n if (V[p1],V[i]) in adj or (V[i],V[p1]) in adj:\r\n f1 += 1\r\n\r\n for i in range(m):\r\n if (V[p2],V[i]) in adj or (V[i],V[p2]) in adj:\r\n f2 += 1\r\n \r\n if f2 > f1:\r\n return True\r\n else:\r\n return False\r\n\r\n def check_prior(p1,p2,adj,perm,tent):\r\n \"\"\"\r\n recursive function which try to swipe the 2 vertices \r\n by comparing the degre of the vertexe.\r\n\r\n Args:\r\n p1 (int): index of the vertex\r\n p2 (int): index of the vertex\r\n d (set): set of the edges\r\n perm (set): new permutation\r\n tent (int): we fix the swipe process to tent try.\r\n\r\n Returns:\r\n int: the new neighbor aka permutation\r\n \"\"\"\r\n \r\n #if the degree of the node p2 is higher or if the try is over we swipe \r\n if comp(p1,p2,adj,perm) or tent == 0:\r\n temp = perm[p1]\r\n perm[p1] = perm[p2]\r\n perm[p2] = temp\r\n return perm\r\n \r\n tent -= 1\r\n \r\n #select a new vertex to swipe\r\n p2 = randint(m,len(V)-1)\r\n\r\n return check_prior(p1,p2,adj,perm,tent)\r\n \r\n return check_prior(p1,p2,adj,perm,tent)","def A_star(initial_state, check_dict):\r\n \r\n print(\"Implementing A*...\")\r\n \r\n q = []\r\n heapq.heappush(q, (initial_state[0][2], initial_state))\r\n check_dict[str(initial_state[0][0])] = True # Mark the initial state as visited\r\n accomplished = False\r\n \r\n while len(q) != 0:\r\n path = heapq.heappop(q)[1]\r\n \r\n if is_goal(path[-1][0]):\r\n goal = path\r\n accomplished = True\r\n break\r\n \r\n state_container = next_possible_states(path, check_dict, False)\r\n for i in state_container:\r\n if not been_there(i[0], check_dict, True):\r\n temp = list(path)\r\n temp.append(i)\r\n heapq.heappush(q, (i[2], temp))\r\n \r\n if accomplished:\r\n print(\"Solved! Number of moves:\", len(goal) - 1)\r\n return goal, True\r\n else:\r\n print(\"Cannot be solved. Number of moves:\", len(path) - 1)\r\n return path, False","def spotlessroomba_second_heuristic(state : SpotlessRoombaState) -> float:\n # TODO a nontrivial consistent heuristic\n \n if not state.dirty_locations:\n return 0\n \n best_start = 0 # best dirty tile to start from\n best_cost = INF # cost of the path from the above start tile\n\n for i in range(len(state.dirty_locations)):\n estimate_cost = 0\n lowest_cost = INF\n closest_dirty = 0\n dirty_locations = list(state.dirty_locations)\n current_pos = dirty_locations.pop(i)\n\n # find the shortest cost solution path from this starting tile\n while dirty_locations:\n for j in range(len(dirty_locations)):\n manhattan = abs(current_pos.row - dirty_locations[j].row) + abs(current_pos.col - dirty_locations[j].col)\n if manhattan < lowest_cost:\n lowest_cost = manhattan\n closest_dirty = j\n estimate_cost += lowest_cost\n current_pos = dirty_locations.pop(closest_dirty)\n lowest_cost = INF\n # if estimated path cost is cheaper than best path cost so far, replace best_cost and best_start\n if estimate_cost < best_cost:\n best_cost = estimate_cost\n best_start = i\n # if estimated path cost and best path cost so far are equal, tiebreak with proximity to start tile\n if estimate_cost == best_cost:\n current_pos = state.position\n dist_to_prev_best = abs(current_pos.row - state.dirty_locations[best_start].row) + abs(current_pos.col - state.dirty_locations[best_start].col)\n dist_to_i = abs(current_pos.row - state.dirty_locations[i].row) + abs(current_pos.col - state.dirty_locations[i].col)\n if dist_to_i < dist_to_prev_best:\n best_start = i\n \n\n current_pos = state.position\n # Calculate distance to the best start tile\n dist_to_start = abs(current_pos.row - state.dirty_locations[best_start].row) + abs(current_pos.col - state.dirty_locations[best_start].col)\n # Returned heuristic is the sum of distance to the start tile and estimated cost from said tile\n return dist_to_start + best_cost","def shortest_path(start, end):\n\n\tmoves = rubik.quarter_twists\n\n\t# Parent nodes: (Parent_State, move)\n\tstartParents = {}\n\tstartParents[start] = None # Start state has no parent\n\n\t# Parent nodes: (Parent_State, move)\n\tendParents = {}\n\tendParents[end] = None # End state has no parent\n\n\tstartFrontier = [] # Current frontier in start BFS\n\tendFrontier = [] # Current frontier in end BFS\n\n\tstartFrontier.append(start) # Add start state as first and only node to generate next frontier\n\tendFrontier.append(end) # Add end state as first and only node to generate next frontier\n\n\tif end in startParents:\n\t\treturn [] # Start == End : No moves required\n\n\t# We only have to search at most 14 levels in BFS\n\t# Two-way BFS therefore requires 7 concurrent levels from both states\n\tfor i in range(7):\n\n\t\tstartNextFrontier = [] # New empty set for new frontier to be discovered\n\t\tfor state in startFrontier: # Iterate through each rubiks state in this frontier\n\t\t\tfor move in moves: # Apply each move to this state\n\t\t\t\tnextState = rubik.perm_apply(move, state)\n\n\t\t\t\t# Makes sure this new state is not already in the Graph\n\t\t\t\t# This skips nodes that were already permuted in another path,\n\t\t\t\t# essentially trimming the Graph's leaves\n\t\t\t\tif nextState not in startParents:\n\t\t\t\t\tstartParents[nextState] = (state, move) # Store this state's parent + move\n\t\t\t\t\tstartNextFrontier.append(nextState) # Create a node in the next frontier\n\t\t\t\t\n\t\t\t\t# Intersect of both Graphs, Intermediate state of path found\n\t\t\t\tif nextState in endParents:\n\t\t\t\t\treturn solution(startParents, endParents, nextState)\n\n\t\tstartFrontier = startNextFrontier # Make the next frontier the current one\n\n\t\tendNextFrontier = [] # New empty set for new frontier to be discovered\n\t\tfor state in endFrontier: # Iterate through each rubiks state in this frontier\n\t\t\tfor move in moves: # Apply each move to this state\n\t\t\t\tnextState = rubik.perm_apply(move, state)\n\n\t\t\t\t# Makes sure this new state is not already in the Graph\n\t\t\t\t# This skips nodes that were already permuted in another path,\n\t\t\t\t# essentially trimming the Graph's leaves\n\t\t\t\tif nextState not in endParents:\n\t\t\t\t\tendParents[nextState] = (state, move) # Store this state's parent + move\n\t\t\t\t\tendNextFrontier.append(nextState) # Create a node in the next frontier\n\t\t\t\t\n\t\t\t\t# Intersect of both Graphs, Intermediate state of path found\n\t\t\t\tif nextState in startParents:\n\t\t\t\t\treturn solution(startParents, endParents, nextState)\n\n\t\tendFrontier = endNextFrontier # Make the next frontier the current one\n\n\treturn None","def reachable(maze: list, start: tuple, goal: tuple):\n n = len(maze) # Get the dimension of the maze\n\n #========================================#\n # Some data checking statements\n\n if (not is_valid(start, n)):\n print(\"reachable: Start indices outside maze dimensions\")\n return False\n elif (not is_valid(goal, n)):\n print(\"reachable: Goal indices outside maze dimensions\")\n return False\n\n # End data checking statements\n #========================================#\n\n # We can use a copy of the maze to keep track of visited squares (Considered using a set here, thought that time efficiency was important)\n visited = copy.deepcopy(maze)\n # visited = list(map(list, maze)) # Alternative to using copy.deepcopy\n stack = [] # Define our stack of \"fringe\" squares\n stack.append(start) # Push the start square onto our stack\n visited[start[0]][start[1]] = 1 # Set our start to visited\n\n while (len(stack)): # While there exists items in the stack\n current = stack.pop() # Pop the last element\n\n if (current == goal):\n return True # If current is the goal, we found it!\n\n current_i, current_j = current # Unpack the current pair\n\n # Now we want to add all unvisited squares that are possible to get to from the current square\n for i in range(len(nearby_offsets)):\n offset_i, offset_j = nearby_offsets[i]\n possible = (current_i + offset_i, current_j + offset_j)\n # print(f\"Current possible: {possible_i} {possible_j}\") # DEBUG\n if (is_valid(possible, n)): # If the calculated square is within the maze matrix\n if (not visited[possible[0]][possible[1]]):\n stack.append(possible)\n visited[possible[0]][possible[1]] = 1\n return False # If the while loop goes out, and the stack is empty, then there is no possible path","def fn(i):\n if i == 2*n-1 or ans[i] and fn(i+1): return True \n for x in reversed(range(1, n+1)): \n if x not in ans: \n ii = x if x > 1 else 0 \n if i+ii < 2*n-1 and ans[i] == ans[i+ii] == 0: \n ans[i] = ans[i+ii] = x\n if fn(i+1): return True \n ans[i] = ans[i+ii] = 0","def recursive_minimax_strategy(game: Any) -> Any:\n lista = []\n if game.current_state.p1_turn:\n for i in game.current_state.get_possible_moves():\n game2 = copy.deepcopy(game)\n new_state = game2.current_state.make_move(i)\n game2.current_state = new_state\n lista.append(recursive1(game2, []))\n\n else:\n for i in game.current_state.get_possible_moves():\n game2 = copy.deepcopy(game)\n new_state = game2.current_state.make_move(i)\n game2.current_state = new_state\n lista.append(recursive2(game2, []))\n\n if 1 in lista:\n return game.current_state.get_possible_moves()[lista.index(1)]\n return game.current_state.get_possible_moves()[0]","def solve(board):\r\n \r\n #An O(2mn) time solution; the first O(mn) traversal is to preform a bfs on all tiles attached to edge 'O' tiles (can't convert to 'X's); the second is to convert all remaining 'O's into 'X's\r\n \r\n def bfs(curr,r,c):\r\n if not curr: return\r\n prev = len(curr)\r\n for n in range(0,prev):\r\n i,j = curr[n][0],curr[n][1]\r\n board[i][j] = 'A'\r\n for x,y in [(-1, 0), (0, -1), (1, 0), (0, 1)]:\r\n x_n = i+x\r\n y_n = j+y\r\n if x_n >= 0 and x_n < r and y_n >= 0 and y_n < c and board[x_n][y_n] == \"O\":\r\n curr += [(x_n,y_n)]\r\n bfs(curr[prev:],r,c)\r\n\r\n \r\n q,r,c = [],len(board),len(board[0])\r\n if not r or q: return\r\n\r\n for i in range(r):\r\n for j in range(c):\r\n if (i==0 or j==0 or i==r-1 or j==c-1) and board[i][j] == \"O\":\r\n q += [(i,j)]\r\n \r\n bfs(q,r,c)\r\n\r\n for i in range(r):\r\n for j in range(c): \r\n if board[i][j] == \"O\": \r\n board[i][j] = \"X\"\r\n elif board[i][j] == \"A\":\r\n board[i][j] = \"O\"\r\n \r\n return","def fill_gap_2_0(R):\n suitable_positions = [[], [], [], [], []] # stores all suitable positions for pieces respectively\n for row_idx in range(8):\n for col_idx in range(8):\n if single_pos_no_conflict_check((row_idx, col_idx), R): # iterate all vacant positions\n if single_move_feasible_q(pos0[0], (row_idx, col_idx)) \\\n and single_move_feasible_q((row_idx, col_idx), R[1][0]):\n suitable_positions[0].append((row_idx, col_idx))\n if single_move_feasible_k(pos0[1], (row_idx, col_idx)) \\\n and single_move_feasible_k((row_idx, col_idx), R[1][1]):\n suitable_positions[1].append((row_idx, col_idx))\n if single_move_feasible_r(pos0[2], (row_idx, col_idx)) \\\n and single_move_feasible_r((row_idx, col_idx), R[1][2]):\n suitable_positions[2].append((row_idx, col_idx))\n if single_move_feasible_n(pos0[3], (row_idx, col_idx)) \\\n and single_move_feasible_n((row_idx, col_idx), R[1][3]):\n suitable_positions[3].append((row_idx, col_idx))\n if single_move_feasible_b(pos0[4], (row_idx, col_idx)) \\\n and single_move_feasible_b((row_idx, col_idx), R[1][4]):\n suitable_positions[4].append((row_idx, col_idx))\n if [] in suitable_positions:\n return []\n\n result_list = []\n for pos1 in itertools.product(*suitable_positions): # iterate all combinations\n if len(set(pos1)) == 5: # eliminate those different pieces with the same position\n tmp = copy.deepcopy(R)\n tmp[0] = pos1\n result_list.append(tmp)\n return result_list","def mc_problem(start=(3,3,1,0,0,0),goal=None):\n if goal is None:\n def goal_fn(state): return state[:3] == (0,0,0) \n else:\n def goal_fn(state): return state == goal\n return shortest_path_search(start,csuccessors,goal_fn)","def solve(k=[]):\n if len(k) < 2:\n return 1\n min_jumps = len(k)\n for i in reversed(range(k[0])):\n if i > len(k):\n return 1\n if k[i] != 0:\n sub_jumps = solve(k[i + 1 :])\n min_jumps = min(min_jumps, sub_jumps)\n return min_jumps","def ideal_fanin(k, m):\n fanin = 0\n needed = k\n for select in range(3, m + 1, 2):\n combinations = list(itertools.combinations(range(m), select))\n if len(combinations) <= needed:\n fanin += int(math.ceil(float(len(combinations) * select) / m))\n needed -= len(combinations)\n else:\n fanin += int(math.ceil(float(needed * select) / m))\n needed = 0\n if not needed:\n break\n return fanin","def bfs(self, queue, target, targetx,\n targety): # finds BFS path to the finish. if there is no path, will return nothing\n\n '''\n 1. So we have a parent matrix\n 2. This records the parent\n 3. We have a dictionary of cell: parents'''\n if self.map1[queue[0][0]][queue[0][1]] == target:\n return [1]\n\n thisset = {queue[0]}\n traceSet = {queue[0]: None}\n\n flag = False # variable to see if it is possible to reach the goal\n while queue:\n fringe = queue.pop(0) # gets 0, 0 first\n adjs = self.getAdj(fringe[0], fringe[1])\n\n if self.map1[fringe[0]][fringe[1]] == 2:\n print(\"Our attempt has started\")\n\n if self.map1[fringe[0]][fringe[1]] == target:\n print(\"Goal reached\")\n print(\"This is how you go about it\")\n # print(traceSet)\n ans = self.trace(traceSet, targetx, targety)\n path = self.savePath(ans)\n flag = True\n # print(ans.pop())\n break\n\n if self.map1[fringe[0]][fringe[1]] == 0 or self.map1[fringe[0]][fringe[1]] == 3 or self.map1[fringe[0]][fringe[1]] == 4:\n continue\n\n for i in range(len(adjs)):\n if self.legal(adjs[i][0], adjs[i][1]):\n if adjs[i] in thisset:\n continue\n\n thisset.add(adjs[i])\n traceSet[adjs[i]] = fringe\n queue.append(adjs[i])\n if flag is False:\n print(\"No way to goal\")\n return []\n return path","def find():\n b = 0\n q = 0\n while b == q:\n seq = [randint(-10, 10) for _ in range(randint(15, 30))]\n b, b_at = brute_force(seq)\n q = solution(seq)\n print(seq, b, q, b_at)","def sol(n, mem):\n if mem[n] != -1:\n return mem[n]\n \n mem[n] = 0\n for i in range(2, n+1):\n mem[n]+=sol(n-i, mem)*sol(i-2, mem)\n \n return mem[n]","def bfs(game, game_coords):\n # *** main queue to record steps and corresponding costs ***\n queue_moves = [[game.player.row, game.player.col]]\n cost_moves = [0]\n\n # record cost and illegal moves\n cost = 1\n declined_moves = []\n\n # record the moves in the previous turn(iteration)\n last_steps = [[game.player.row, game.player.col]]\n\n # ***** Step 1: Marking game board using cost *****\n while True:\n\n # struggled in a location, loss\n if not last_steps:\n return 0, 0, 0\n\n # collect all potential moves: left, down, right, up, teleport(if possible)\n potential_steps = []\n for step in last_steps:\n potential_steps.append(left(step))\n potential_steps.append(down(step))\n potential_steps.append(right(step))\n potential_steps.append(up(step))\n\n if search_coords(game_coords, step) in ['1', '2', '3', '4', '5', '6', '7', '8', '9']:\n potential_steps.append(step)\n\n current_steps = []\n for step in potential_steps:\n if step in declined_moves:\n continue\n elif step in queue_moves:\n # the step existed in main queue, replace it if cost is lower, otherwise skip\n if cost >= cost_moves[queue_moves.index(step)]:\n if step != queue_moves[-1]:\n continue\n\n # check if move is legal\n will_move = step\n item = search_coords(game_coords, will_move)\n\n if item == '*' or item == -1:\n declined_moves.append(will_move)\n continue\n\n elif item == 'W':\n game.player.num_water_buckets += 1\n\n for i in range(len(game_coords['W'])):\n # water picked up, set current display from 'W' to ' ' in game_coords\n if game_coords['W'][i] == will_move:\n game_coords['W'].pop(i)\n game_coords[' '].append(will_move)\n break\n\n elif item == 'F':\n if game.player.num_water_buckets < 1:\n # cannot put out fire, refuse this move :(\n declined_moves.append(will_move)\n continue\n\n game.player.num_water_buckets -= 1\n elif item in ['1', '2', '3', '4', '5', '6', '7', '8', '9']:\n for coords in game_coords[item]:\n if coords != will_move:\n will_move = coords\n break\n\n current_steps.append(will_move)\n\n # append to main queue\n queue_moves.append(will_move)\n cost_moves.append(cost)\n\n cost += 1\n\n # reach end point\n if game_coords['Y'][0] in current_steps:\n break\n\n # last_steps <- current_steps\n last_steps = []\n last_steps.extend(current_steps)\n\n cost -= 1\n\n # ***** Step 2: recall through main queue to generate a path *****\n # *** Queue: last in first out ***\n recall_moves = queue_moves[::-1]\n recall_cost = cost_moves[::-1]\n cursor = recall_moves[0]\n\n # generated path\n route = []\n\n # 'action to cmd' translator\n action_map = {(1, 0): 'w', (-1, 0): 's', (0, 1): 'a', (0, -1): 'd'}\n\n for i in range(len(recall_moves)):\n if recall_cost[i] == cost - 1:\n x, y = coords_sub(recall_moves[i], cursor)\n\n # simple move: left, down, right, up\n if abs(x) + abs(y) == 1:\n cursor = recall_moves[i]\n cost -= 1\n route.insert(0, action_map[(x, y)])\n\n # teleport move\n elif teleport_pair(cursor, game_coords) != -1:\n pair = teleport_pair(cursor, game_coords)\n x, y = coords_sub(recall_moves[i], pair)\n\n # teleport after simple move\n if abs(x) + abs(y) == 1:\n cursor = recall_moves[i]\n cost -= 1\n route.insert(0, action_map[(x, y)])\n\n # teleport after no move ('e')\n elif abs(x) + abs(y) == 0:\n cursor = recall_moves[i]\n cost -= 1\n route.insert(0, 'e')\n\n # convert list of paths to string\n trace = ''\n for action in route:\n trace += action + ', '\n\n return 1, cost_moves[-1], trace","def constraint_not_adjacent(m, n) :\n return not constraint_adjacent(m,n)","def test_heuristic_first_steps(self):\n graph = {n: set(self.deterministic_graph[n]) - set([n])\n for n in self.deterministic_graph}\n deg_heuristic = MinDegreeHeuristic(graph)\n elim_node = deg_heuristic.best_node(graph)\n print(\"Graph {}:\".format(graph))\n steps = []\n\n while elim_node is not None:\n print(\"Removing {}:\".format(elim_node))\n steps.append(elim_node)\n nbrs = graph[elim_node]\n\n for u, v in itertools.permutations(nbrs, 2):\n if v not in graph[u]:\n graph[u].add(v)\n\n for u in graph:\n if elim_node in graph[u]:\n graph[u].remove(elim_node)\n\n del graph[elim_node]\n print(\"Graph {}:\".format(graph))\n elim_node = deg_heuristic.best_node(graph)\n\n # check only the first 5 elements for equality\n assert_equals(steps[:5], [0, 1, 2, 3, 4])","def move_feasible(cur_pos, nxt_pos):\n return single_move_feasible_q(cur_pos[0], nxt_pos[0]) and single_move_feasible_k(cur_pos[1], nxt_pos[1]) \\\n and single_move_feasible_r(cur_pos[2], nxt_pos[2]) and single_move_feasible_n(cur_pos[3], nxt_pos[3]) \\\n and single_move_feasible_b(cur_pos[4], nxt_pos[4])","def uninformed_search(start, end, graph):\n\n class SearchNode():\n def __init__(self, step_cost, name, predecessor):\n self.path_cost = predecessor.path_cost + step_cost if predecessor is not None else 0\n self.step_cost = step_cost\n self.name = name\n self.predecessor = predecessor\n def __repr__(self):\n return self.predecessor.name + \"->\" + self.name + \"=\" + self.path_cost\n\n class Problem():\n def __init__(self, start, end, graph, goal_predicate):\n self.start = start\n self.end = end\n self.graph = graph\n self.is_goal = goal_predicate\n self.visited_nodes = []\n\n nodes_expanded = 0\n nodes_generated = 0\n max_nodes_in_memory = 0\n\n def tree_search(problem, fringe):\n nonlocal nodes_generated\n nonlocal nodes_expanded\n nonlocal max_nodes_in_memory\n\n # create the initial node\n nodes_generated = 1\n fringe = [SearchNode(0, problem.start, None)]\n\n while len(fringe) > 0:\n # keep track of some metrics\n max_nodes_in_memory = max(max_nodes_in_memory, len(fringe))\n nodes_expanded += 1\n\n node = fringe.pop(0)\n while node.name in problem.visited_nodes:\n # ran out of nodes in the fringe\n if len(fringe) == 0:\n return None\n\n node = fringe.pop(0)\n\n if problem.is_goal(node):\n return node\n \n # make sure we never visit this node again, since we'll be expanding it\n problem.visited_nodes.append(node.name)\n\n # keep the fringe sorted by the path cost\n fringe.extend(expand(node, problem))\n fringe = sorted(\n fringe, \n key=lambda node: node.path_cost\n )\n\n return None\n\n def expand(node, problem):\n nonlocal nodes_generated\n nodes = []\n for edge in problem.graph.edges(node.name):\n nodes.append(SearchNode(edge.weight, edge.destination, node))\n \n nodes_generated += len(nodes)\n return nodes\n\n initial_problem = Problem(start, end, graph, lambda x: x.name == end)\n result = tree_search(initial_problem, [])\n\n # convert the resulting nested structure into an actual path of (start, end, cost)\n def walk(node):\n pred = node.predecessor\n if pred is None:\n return []\n \n path = walk(pred)\n path.append((pred.name, node.name, node.step_cost))\n return path\n\n path = walk(result) if result is not None else None\n return (path, nodes_expanded, nodes_generated, max_nodes_in_memory)","def greedy_MAP_assignment(theta,random_runs = 10,heur = 'first'):\r\n N = theta.shape[0]\r\n scipy.random.seed()\r\n max_p = -scipy.inf\r\n for k in range(random_runs):\r\n A = scipy.random.randint(2,size = N)\r\n improved = True\r\n p = A.dot( theta.dot(A) )\r\n while improved:\r\n improved = False\r\n if heur == 'first':\r\n p2 = -scipy.inf\r\n perm = scipy.random.permutation(N)\r\n for s in perm:\r\n #dp: change in p if A[i] bit is reversed\r\n dp = (1-2*A[s])*( A.dot(theta[s,:]+ theta[:,s]) ) + theta[s,s]\r\n if dp>0:\r\n p2 = dp\r\n break\r\n\r\n if heur == 'best':\r\n dp = (1-2*A)*( A.dot(theta + theta.T) ) + scipy.diag(theta)\r\n p2,s = dp.max(), dp.argmax()\r\n if p2 > 0:\r\n A[s] = 1-A[s]\r\n improved = True\r\n p += p2\r\n if p>max_p:\r\n greedy_A,max_p = A.copy(),p\r\n return greedy_A.astype(int),max_p","def problem_086(limit,verbose):\n\n # Three routes:\n # *------F Sides labeled A, B, C, routes clockwise from S\n # | /| R1^2 = (A + C)^2 + B^2\n # | / n R2^2 = (B + C)^2 + A^2\n # +-----+------+-----F R3^2 = (A + B)^2 + C^2\n # | | / | . `|\n # | A / .|` / |\n # | |/. ` a-n / |\n # +-C---S-b-B--+-----+\n # | ` . |\n # | `|\n # *------+\n # | |\n # | |\n # | |\n # +------F\n \n # Genreate all triples up to perimeter 3M + sqrt((M + M)^2 + M^2)\n # Which is is 3M + sqrt(5M^2)\n\n total_found = 0\n cuboids = defaultdict(set)\n triples = set()\n under_length = []\n \n for batch in count():\n size = (batch + 1) * 500\n max_triple_perimeter = int(3 * size + sqrt(5 * size**2)) + 1\n all_triples = set(generate_triples(max_triple_perimeter))\n this_loop = all_triples - triples\n triples = all_triples\n \n with click.progressbar(this_loop, label=\"{}\".format(total_found)) as bar:\n new_cuboids = (c for t in bar for c in generate_cuboids(t))\n new_cuboids = (c for c in new_cuboids if c.a > 0)\n new_cuboids = (c for c in new_cuboids if is_shortest_route_integral(c))\n for cuboid in new_cuboids:\n cuboids[cuboid.c].add(cuboid)\n \n for i in range(batch * 500, batch * 500 + 500):\n \n total_found += len(cuboids[i])\n if total_found >= limit:\n click.echo(total_found)\n click.echo(i)\n return","def fn(i, j):\n if i == m-1 and j == n-1: return max(1, 1 - dungeon[i][j])\n if i > m-1 or j > n-1: return inf\n return max(1, min(fn(i+1, j), fn(i, j+1)) - dungeon[i][j])","def a_star(self, xy1, xy2):\n tile_col1, tile_row1 = self.the_map.xy_to_cr(xy1[0], xy1[1])\n tile_col2, tile_row2 = self.the_map.xy_to_cr(xy2[0], xy2[1])\n \n successor_to_parent_map = {}\n start_state = (tile_col1, tile_row1)\n #print('x=%d, y=%d to col=%d, row=%d (map row=%d, col= %d)' % (xy1[0], xy1[1], tile_col1, tile_row1, \n # self.the_map.tile_speeds.shape[0], self.the_map.tile_speeds.shape[1]))\n successor_to_parent_map[(start_state, None)] = None # (Successor, Action) -> (Parent, Action)\n \n open_list = PriorityQueue()\n open_list.update((start_state, None), 0)\n closed = []\n \n while not open_list.isEmpty():\n current_state, action_to_current_state = open_list.pop()\n \n if current_state == (tile_col2, tile_row2):\n return self.__get_action_path((current_state, action_to_current_state), successor_to_parent_map)\n \n if current_state not in closed:\n if current_state == start_state:\n current_cost = 0\n else:\n current_cost = len(self.__get_action_path((current_state, action_to_current_state),\n successor_to_parent_map))\n \n for successor_state, action, step_cost in self.__get_successors(current_state):\n cost = current_cost + step_cost + self.__cartesian_distance(current_state, successor_state)\n \n open_list.update((successor_state, action), cost)\n \n if successor_state not in closed:\n successor_to_parent_map[(successor_state, action)] = (current_state, action_to_current_state)\n \n closed.append(current_state)\n return []","def a_star(start, end, board):\n board_n = board\n closed_set = deque()\n open_set = deque()\n open_set.append(start)\n\n path = list()\n\n while open_set:\n lowest_f_index = 0\n for i, node in enumerate(open_set):\n if open_set[i].f < open_set[lowest_f_index].f:\n lowest_f_index = i\n # Adds an additional check in case the f values are similar. Then we compare the g score instead\n # and find the lowest\n if open_set[i].f == open_set[lowest_f_index].f:\n if open_set[i].g < open_set[lowest_f_index].g:\n lowest_f_index = i\n\n current_node = open_set[lowest_f_index]\n\n if current_node == end:\n tmp = current_node\n path.append(tmp)\n while tmp.previous:\n path.append(tmp.previous)\n tmp = tmp.previous\n for elem in path[1:-1]: \n elem.symbol = '▪'\n draw_4k(board_n, wait = True)\n\n open_set.remove(current_node)\n closed_set.append(current_node)\n\n neighbors = current_node.neighbors\n for nb in neighbors:\n if nb in closed_set: #Doesnt check walls here since there is no walls\n continue\n \n tmp_g = current_node.g + nb.cost # Adds the cost of the neighbor cell to the tentative g score instead of just 1\n\n if nb not in open_set:\n open_set.append(nb)\n \n elif tmp_g >= nb.g:\n continue\n\n nb.previous = current_node \n nb.g = tmp_g \n nb.h = calculate_manhattan(nb, end)\n nb.f = nb.g + nb.h","def bruteForceSearch(digraph, start, end, maxTotalDist, maxDistOutdoors):\n bFSResult = {}\n \n# Helper function to calculate Total Distance in a path\n def Dist(path):\n result = 0\n if path == None:\n return result\n if len(path) == 0:\n return result\n for i in range(len(path)-1):\n src = path[i]\n dest = path[i+1]\n for item in digraph.edges[src]:\n if item[0] == dest:\n result += item[1]\n return result \n \n # Helper function to calculate Total Outdoor Distance in a path\n def Out(path):\n result = 0\n if path == None:\n return result \n if len(path) == 0:\n return result\n for i in range(len(path)-1):\n src = path[i]\n dest = path[i+1]\n for item in digraph.edges[src]:\n if item[0] == dest:\n result += item[2]\n return result \n\n # Helper function using DFS method\n def bFS(graph, start, end, maxD, maxO, path = [], result = None):\n path = path + [start]\n if start == end:\n return path\n for node in graph.childrenOf(start):\n if node not in path: #avoid cycles\n if result == None:\n newPath = bFS(graph,node,end,maxD, maxO, path)\n if newPath!= None and Dist(newPath) <= maxD and Out(newPath) <= maxO: \n result = newPath\n distResult = Dist(result)\n if result != None and distResult not in bFSResult:\n bFSResult[distResult] = result\n if len(result) == 2 and result[-1] == end:\n break\n \n\n bFS(digraph, start, end, maxTotalDist, maxDistOutdoors)\n if len(bFSResult) == 0:\n raise ValueError\n else:\n return bFSResult[min(bFSResult)]","def linear_conflicts(s, goal, dim):\n def conflict_count(s_row, goal_row, size, t=0):\n count = [0 for x in range(size)]\n for j, t1 in enumerate(s_row):\n if t1 in goal_row and t1 != 0:\n for k, t2 in enumerate(s_row):\n if t2 in goal_row and t2 != 0 and t1 != t2:\n if (goal_row.index(t1) > goal_row.index(t2)) and j < k:\n count[j] += 1\n if (goal_row.index(t1) < goal_row.index(t2)) and j > k:\n count[j] += 1\n if max(count) == 0:\n return t * 2\n else:\n j = count.index(max(count))\n s_row[j] = -1\n t += 1\n return conflict_count(s_row, goal_row, size, t)\n\n total = manhattan_distance(s, goal, dim)\n\n s_rows = [[] for y in range(dim)]\n s_cols = [[] for x in range(dim)]\n goal_rows = [[] for y in range(dim)]\n goal_cols = [[] for x in range(dim)]\n for y in range(dim):\n for x in range(dim):\n i = (y*dim) + x\n s_rows[y].append(s[i])\n s_cols[x].append(s[i])\n goal_rows[y].append(goal[i])\n goal_cols[x].append(goal[i])\n for i in range(dim):\n total += conflict_count(s_rows[i], goal_rows[i], dim)\n for i in range(dim):\n total += conflict_count(s_cols[i], goal_cols[i], dim)\n return total","def solution(n, m, d):\n offset_l = [0] + list(d)\n offset_r = list(d) + [n]\n diffs = [x-y for x, y in it.izip(offset_r, offset_l)]\n \n # Find index of the two gaps to be merged.\n # Search a moving window width 2 for the smallest sum.\n # j'th window implies merging diff j + diff j+1\n L = len(diffs)\n win_w2 = [x+y for x, y in it.izip(diffs[:L-1], diffs[1:])]\n j = win_w2.index(min(win_w2))\n \n # find index of maximum gap (ie the one we'll split in 2)\n k = max(diffs)\n \n # Forming an irreducible fraction\n numerator = k // 2 * (k // 2 + k % 2) * min(win_w2)\n denom = diffs[j] * diffs[j+1] * k\n gg = gcd(numerator, denom)\n numerator /= gg\n denom /= gg\n return str(numerator) + str(denom)","def astar_corner(maze):\n # TODO: Write your code here\n \"\"\"\n Plan:\n Do normal a* but then .clear visited after each new goal is found\n new h = Manhattan distance to the nearest goal and then the manhattan distance to the other goals starting from this nearest goal. \n new priority queue -- tuple (f, x&y, goals_left, \n \"\"\"\n pq = []\n visited = {}\n\n goals = maze.getObjectives()\n start = maze.getStart()\n\n tie = 1\n #\n # tuple = (f,g,h,x&y,tiebreaker, goals left, currpath, visited)\n f = min_manhattan(goals, start)\n curr = (f, 0, f, start, goals, 0, [])\n heapq.heappush(pq, curr)\n\n food = None\n while len(pq) > 0:\n curr = heapq.heappop(pq)\n #print(\"curr:\", curr)\n if curr[3] in curr[4]:\n curr[4].remove(curr[3])\n if len(curr[4]) == 0:\n #print(\"DONE\")\n #print(food)\n food = curr\n break\n neighbors = maze.getNeighbors(curr[3][0], curr[3][1])\n for n in neighbors:\n curr_goals_left = curr[4].copy()\n curr_visited = curr[6].copy()\n tie += 1\n #print(\"curr[6]: \", curr[6])\n #print(\"n: \", n)\n #print(\"curr[4]: \", curr[4])\n h2 = min_manhattan(curr[4], n)\n f2 = h2 + curr[1]\n g2 = curr[1] + 1\n\n node_new = (f2, g2, h2, n, curr_goals_left, tie, curr_visited)\n \n if node_new[3] not in visited or node_new[4] not in visited[node_new[3]][1]:\n if node_new[3] not in visited:\n visited[node_new[3]] = (node_new[3], [])\n visited[node_new[3]][1].append(node_new[4])\n node_new[6].append(curr[3])\n heapq.heappush(pq, node_new)\n\n if food is None:\n return []\n\n food[6].append(food[3])\n\n return food[6]","def astar_multi(maze):\n graph_ = Graph(maze.getObjectives())\n\n pq = []\n visited = {}\n\n goals = maze.getObjectives()\n start = maze.getStart()\n\n tie = 1\n #\n # tuple = (f,g,h,x&y,tiebreaker, goals left, currpath, visited)\n # h = min_manhattan(goals, start)\n h = mst_heur(start, goals, graph_)\n\n curr = (h, 0, h, start, goals, 0, [])\n heapq.heappush(pq, curr)\n\n food = None\n while len(pq) > 0:\n curr = heapq.heappop(pq)\n # print(\"curr:\", curr)\n if curr[3] in curr[4]:\n curr[4].remove(curr[3])\n if len(curr[4]) == 0:\n # print(\"DONE\")\n # print(food)\n food = curr\n break\n neighbors = maze.getNeighbors(curr[3][0], curr[3][1])\n for n in neighbors:\n curr_goals_left = curr[4].copy()\n curr_visited = curr[6].copy()\n tie += 1\n\n # print(\"curr[6]: \", curr[6])\n # print(\"n: \", n)\n # print\n\n # h2 = min_manhattan(curr[4], n)\n h2 = mst_heur(n, curr[4], graph_)\n f2 = h2 + curr[1]\n g2 = curr[1] + 1\n\n node_new = (f2, g2, h2, n, curr_goals_left, tie, curr_visited)\n\n if node_new[3] not in visited or node_new[4] not in visited[node_new[3]][1]:\n if node_new[3] not in visited:\n visited[node_new[3]] = (node_new[3], [])\n visited[node_new[3]][1].append(node_new[4])\n node_new[6].append(curr[3])\n heapq.heappush(pq, node_new)\n\n if food is None:\n return []\n\n food[6].append(food[3])\n\n return food[6]","def h1(self, current_state):\n # Default the variable to be true\n is_goal = True\n\n # Define the two heuristics for each goal state\n h_goal_1 = 0\n h_goal_2 = 0\n\n # Check if the current state equals goal state 1\n for i in range(1, self.puzzle_length):\n if int(current_state[i - 1]) != i:\n h_goal_1 += 1\n is_goal = False\n # end: for-loop\n\n # Only check for the second goal state if the current state does not equal the goal\n # and if we didn't already determine it was goal state 1\n if not is_goal:\n # Reset the value\n is_goal = True\n counter = 1\n\n # Check if the current state equals goal state 2\n for j in range(self.puzzle_width):\n for i in range(self.number_of_rows):\n if int(current_state[i * self.puzzle_width + j]) != counter:\n is_goal = False\n h_goal_2 += 1\n\n # Increment our counter\n counter += 1\n\n # If we reached the last element, we want to set it to 0,\n # since that is what the last element should be in goal-state-2\n if counter == self.puzzle_length:\n counter = 0\n # end: inner-for-loop\n # end: outer-for-loop\n # end: if\n\n if self.continuous(current_state):\n return min(h_goal_1, h_goal_2)\n else:\n return 2 * min(h_goal_1, h_goal_2)\n # Return the minimum of the two heuristics","def brute_force_solution():\n def is_pythagorean_triplet(a, b, c):\n return c**2 == a**2 + b**2\n\n return next(\n a * b * (TRIPLET_SUM - a - b)\n for a in range(1, TRIPLET_SUM)\n for b in range(a + 1, TRIPLET_SUM - a)\n if is_pythagorean_triplet(a, b, TRIPLET_SUM - a - b)\n )","def bsgs(g: int, res: int, modulo: int):\n\n assert millerRabin(modulo)\n\n # https://en.wikipedia.org/wiki/Baby-step_giant-step\n\n from ressources.multGroup import inv\n\n m = integer_sqrt(modulo) + 1\n\n hashTable = {square_and_multiply(g, j, modulo): j for j in range(m)} # Baby-Step\n\n gm = square_and_multiply(g, m, modulo)\n invGm = inv(gm, modulo)\n\n # Initialization\n y = res\n\n # Search for an equivalence in the table - Giant-Step\n for i in range(m):\n\n if y in hashTable:\n return i * m + hashTable[y]\n\n y = (y * invGm) % modulo\n\n return -1","def prob2():\n # Define the function to be optimized and the initial condition.\n def multimin(x):\n r = np.sqrt((x[0]+1)**2 + x[1]**2)\n return r**2 *(1+ np.sin(4*r)**2)\n x0 = np.array([-2, -2])\n \n info = {}\n info[.5] = opt.basinhopping(multimin, x0, stepsize=0.5,\n minimizer_kwargs={'method':'nelder-mead'})\n info[.2] = opt.basinhopping(multimin, x0, stepsize=0.2,\n minimizer_kwargs={'method':'nelder-mead'})\n\n # Print the results.\n for step in info:\n print(\"Stepsize:\\t{}\\nMinimum:\\t{}\\n\".format(step, info[step].fun))\n\n # Answer the problem question and return the minimum value.\n print(\"0.2 is too small a stepsize to escape the basin of a local min.\")\n return info[.2].fun","def fn(i, j, empty):\n nonlocal ans \n if grid[i][j] == 2: \n if empty == -1: ans += 1\n return \n grid[i][j] = -1 # mark as visited \n for ii, jj in (i-1, j), (i, j-1), (i, j+1), (i+1, j): \n if 0 <= ii < m and 0 <= jj < n and grid[ii][jj] != -1: \n fn(ii, jj, empty-1)\n grid[i][j] = 0 # backtracking","def two_point_crossover(path1, path2, board, n, m):\n x, y = get_start(board)\n new_path1, new_path2 = cross_paths(path1, path2)\n while not is_path_correct(x, y, remove_constant_points(new_path1), board) or \\\n not is_path_correct(x, y, remove_constant_points(new_path2), board):\n new_path1, new_path2 = cross_paths(path1, path2)\n if len(path1) < n * m * len(new_path1):\n new_path1 = path1\n if len(path2) < n * m * len(new_path2):\n new_path2 = path2\n return remove_constant_points(new_path1), remove_constant_points(new_path2)","def needleman_wunsch1(x,y,lodict=None,gop=-2.5, gep=-1.75, local=False):\n n,m = len(x),len(y)\n dp = np.zeros((n+1,m+1))\n pointers = np.zeros((n+1,m+1),np.int32)\n for i in range(1,n+1):\n dp[i,0] = dp[i-1,0]+(gep if i>1 else gop)\n pointers[i,0]=1\n for j in range(1,m+1):\n dp[0,j] = dp[0,j-1]+(gep if j>1 else gop)\n pointers[0,j]=2\n for i in range(1,n+1):\n for j in range(1,m+1):\n if not lodict:\n if x[i-1] == y[j-1]:\n match = dp[i-1,j-1]+1\n else:\n match = dp[i-1,j-1]-1\n else:\n match = dp[i-1,j-1]+lodict[x[i-1],y[j-1]]\n insert = dp[i-1,j]+(gep if pointers[i-1,j]==1 else gop)\n delet = dp[i,j-1]+(gep if pointers[i,j-1]==2 else gop)\n max_score = max([match,insert,delet])\n dp[i,j] = max_score\n pointers[i,j] = [match,insert,delet].index(max_score)\n alg = []\n i,j = n,m\n while(i>0 or j>0):\n pt = pointers[i,j]\n if pt==0:\n i-=1\n j-=1\n alg = [[x[i],y[j]]]+alg\n if pt==1:\n i-=1\n alg = [[x[i],'-']]+alg\n if pt==2:\n j-=1\n alg = [['-',y[j]]]+alg\n return dp[-1,-1], alg","def solve(self):\r\n while not self.done():\r\n self.no_open_cells()\r\n self.all_cells_are_mines()\r\n self.no_mines()\r\n if not self.done():\r\n self.obvious_cells()\r\n if not self.done():\r\n made_progress = self.safe_neighbour_difference()\r\n if made_progress:\r\n continue\r\n if not self.done():\r\n made_progress = self.adjacent_combinations()\r\n if made_progress:\r\n continue\r\n return","def dfs(x, p, step):\n disc[x] = low[x] = step\n for xx in graph.get(x, []): \n if disc[xx] == inf: \n step += 1\n dfs(xx, x, step)\n low[x] = min(low[x], low[xx])\n if low[xx] > disc[x]: ans.append([x, xx]) # bridge\n elif xx != p: low[x] = min(low[x], disc[xx])","def solve(self):\n smallest_f = self.get_smallest_f_cost_unvisited_node()\n smallest_f_node = smallest_f[0]\n\n if smallest_f[1] > 1:\n current_node = self.get_smallest_h_cost_unvisited_node()\n else:\n current_node = smallest_f_node\n if current_node.f_cost == self.inf:\n return\n\n self.set_h_cost(current_node)\n self.unvisited_pos.remove(current_node.pos)\n self.visited_pos.append(current_node.pos)\n neighbours = algo_utils.get_neighbours(current_node, self.grid, self.wall_pos)\n\n for neigh in neighbours:\n neighbour_dist = neigh.g_cost\n current_dist = current_node.g_cost\n new_dist = current_dist + 1\n if neighbour_dist < new_dist:\n continue\n neigh.g_cost = new_dist\n self.set_h_cost(neigh)\n mix_neigh = {neigh.pos: neigh.g_cost}\n self.mix.update(mix_neigh)\n mix_current = {current_node.pos: current_node.g_cost}\n self.mix.update(mix_current)\n\n smallest_f = self.get_smallest_f_cost_unvisited_node()\n smallest_f_node = smallest_f[0]\n smallest_h_node = self.get_smallest_h_cost_unvisited_node()\n\n if (\n self.end_pos not in self.unvisited_pos\n or algo_utils.get_smallest_g_cost_unvisited_node(\n self.grid, self.unvisited_pos\n ).g_cost\n == self.inf\n ):\n for key, value in self.mix.items():\n self.mix[key] = round((value * 1.0) / self.end_node.g_cost, 3)\n self.backtrack_path(self.end_node)\n else:\n if smallest_f[1] > 1:\n current_node = smallest_h_node\n else:\n current_node = smallest_f_node\n self.solve()","def test_solver_combo_approach(m, result):\n from sudoku_solver_hard_unique import sudoku_solver, valid\n from copy import deepcopy\n brute_m = deepcopy(m)\n solved_sudoku = sudoku_solver(brute_m)\n assert valid(solved_sudoku) == result","def solve(list_of_locations, list_of_homes, starting_car_location, adjacency_matrix, params=[]):\n\n loc_map = {}\n drop_off_dict = {}\n num_home_visited = 0\n\n \"\"\"\n for i in range(len(list_of_locations)):\n loc_map[i] = list_of_locations[0]\n \"\"\"\n\n home_indexes = convert_locations_to_indices(list_of_homes, list_of_locations)\n start = list_of_locations.index(starting_car_location)\n graph, msg = adjacency_matrix_to_graph(adjacency_matrix)\n num_homes = len(list_of_homes)\n\n car_path = []\n all_paths = dict(nx.all_pairs_dijkstra(graph))\n visited = set()\n\n #print(start)\n car_path.append(start)\n current_node = start\n\n if start in home_indexes:\n visited.add(start)\n drop_off_dict[start] = [start]\n num_home_visited += 1\n\n while num_home_visited < num_homes:\n dist_dict = all_paths.get(current_node)[0]\n paths_dict = all_paths.get(current_node)[1]\n\n dist_dict = {k:v for (k,v) in dist_dict.items() if k not in visited and k in home_indexes}\n min_dist = min(dist_dict.values())\n min_list = [k for k in dist_dict.keys() if dist_dict[k] <= min_dist]\n #print(dist_dict.values())\n target = min_list[0]\n drop_off_dict[target] = [target]\n #print(target+1)\n #print(target)\n car_path.pop()\n car_path.extend(paths_dict[target])\n\n visited.add(target)\n current_node = target\n num_home_visited += 1\n\n paths_dict = all_paths.get(current_node)[1]\n car_path.pop()\n car_path.extend(paths_dict[start])\n #print((drop_off_dict.keys()))\n #car_path = [start, ...., start]\n #drop_off_dict = {drop_off_loc: [home1, home2, ...] }\n\n return car_path, drop_off_dict","def problem():\n for a in range(1, 380):\n for b in range(a):\n if a + b + (a**2 + b**2)**0.5 == 1000:\n return int(a * b * (a**2 + b**2)**0.5)","def fn(i, j):\n if grid[i][j] <= 0: return 0\n grid[i][j] *= -1 # mark as visited \n ans = 0\n for ii, jj in (i-1, j), (i, j-1), (i, j+1), (i+1, j): \n if 0 <= ii < m and 0 <= jj < n: \n ans = max(ans, fn(ii, jj) - grid[i][j])\n grid[i][j] *= -1 # backtracking \n return ans","def solve(m):\n\t\n #with the assumption that at least one terminal state is given:\n if(len(m)==2 or len(m)==1): return [1,1]\n \n #Normalizing the in. matrix and identifying the trans./abs. states:\n m = normalizeProbabilityMatrix(m)\n t = getTransientStates(m)\n a = getAbsorbingStates(m)\n\t\n if len(a) >0:\n print( str(len(a)) + \" absorbing state\" + (\"\" if len(a)<=1 else \"s\" ))\n else:\n print(\"No absorbing state detected\")\n return\n \n #Getting the matrices Q and R as in the canonical form:\n Q = getQ(m,t)\n R = getR(m,t,a)\n I = getIdentity(len(Q))\n I_Q = subtractMatrices(I, Q)\n \n #Getting the fundamental matrix\n N = invertMatrix(I_Q)\n F = multiplyMatrices(N,R)\n \n #packing the result with a common denominator:\n gcd = getGCD(F[0]).denominator\n res=[]\n sum = 0\n for r in F[0]:\n val = int(r.numerator*(gcd/r.denominator))\n sum+=val\n res.append(val)\n res.append(sum) \n return res","def main():\n \n m = int(input(\"length of wall:\"))\n n = int(input(\"width of wall:\"))\n a = int(input(\"length of tile:\"))\n b = int(input(\"width of tile:\")) \n \n if m*n % a*b != 0:\n error1 = \"Wall cannot be covered completely by given tile dimension.\" + \"\\n\" + \"Unable to perform calculation.\"\n print(error1)\n return error1\n elif m == n == a == b:\n error2 = \"The tile is the size of the wall. No need for any calculations.\"\n print(error2)\n return error2\n else:\n matrix = [0]*(m*n)\n wall_identity = wall(m,n)\n final = tile_combi(m,n,a,b,wall_identity,matrix,[],[])\n num = len(final)\n for p in range(num):\n print(final[p],\"\\n\")\n print(\"Total number of possible combination:{0}\".format(num))\n max_num = num - 1\n choice = int(turtle.numinput(\"How to tile the wall?\",\"Select a tiling method from 0 - \" + str(max_num), None, 0, max_num))\n method = final[choice]\n wall_draw(m,n,method,wall_identity)","def C(relatorlist,quit_at=float('inf')):\n F,rels=fg.parseinputwords(relatorlist)\n if not all(r==F.cyclic_reduce(r) for r in rels):\n raise ValueError(\"Relators are not cyclically reduced.\")\n thepieces=pieces(rels)\n minnumberpieces=quit_at\n def min_string_piece_expression(whatsleft,thepieces,quit_at):\n # recursively determine the minimal expression of the string whatsleft as a concatenation of elements of thepieces, or stop once it is determined that any such expression requires at least quit_at many pieces\n # find a piece that agrees with a prefix of whatsleft and the recurse on the suffix\n if not whatsleft:\n return 0\n minexp=quit_at\n for p in thepieces:\n if p!=whatsleft[:len(p)]:\n continue\n else:\n minexp=min(minexp,1+min_string_piece_expression(whatsleft[len(p):],thepieces,minexp-1))\n return minexp\n def min_relator_piece_expression(relator,thepieces,quit_at):\n # This is first step in recursive search. Here we want to find a piece p such that for relator r we can write p=xy and r=yzx, with y nontrivial. That is, in this step only we think of r as cyclic word and allow first piece that wraps.\n r=relator()\n minexp=quit_at\n for p in thepieces:\n if len(p)>len(r):\n continue\n possiblestartingindices=[] # for given p there may be different possible choices of y\n for startingindex in range(len(r)-len(p)+1,len(r)+1):\n if p==(r+r)[startingindex:startingindex+len(p)]:\n possiblestartingindices.append(startingindex)\n if not possiblestartingindices:\n continue\n for startingindex in possiblestartingindices:\n # found a way to fit p into r spanning the beginning of r. This accounts for x and y part of r. Now recursively find shortest expression of z=whatsleft as a concatenation of pieces.\n whatsleft=(r+r)[startingindex+len(p):startingindex+len(r)]\n if not whatsleft:\n return 1\n else:\n minexp=min(minexp,1+min_string_piece_expression(whatsleft,thepieces,minexp-1))\n return minexp\n for thisrelator in rels:\n minnumberpieces=min(minnumberpieces,min_relator_piece_expression(thisrelator,thepieces,minnumberpieces))\n return minnumberpieces","def breadthFirstSearch(problem):\n \"*** YOUR CODE HERE ***\"\n class Node:\n def __init__(self, state, parent, action, pathCost):\n self.state = state\n self.parent = parent\n self.action = action\n self.pathCost = pathCost\n\n def solution(self):\n path = list()\n tempNode = self\n while tempNode.state != problem.getStartState():\n path.insert(0, tempNode.action)\n tempNode = tempNode.parent\n return path\n\n\n\n\n def childNode(successor, parent, action, stepCost):\n pathCost = parent.pathCost + stepCost\n child = Node(successor, parent, action, pathCost)\n return child\n\n initialNode = Node(problem.getStartState(), None, None, 0)\n if problem.isGoalState(initialNode.state):\n return initialNode.solution()\n\n frontier = util.Queue() #bfs uses a queue\n frontier.push(initialNode)\n explored = set()\n\n while not frontier.isEmpty() :\n nextNode = frontier.pop() #extract from the start of the queue\n explored.add(nextNode.state)\n for successor, action, stepCost in problem.getSuccessors(nextNode.state):\n child = childNode(successor, nextNode, action, stepCost)\n if child.state not in explored and child not in frontier.list:\n if problem.isGoalState(child.state):\n return child.solution()\n frontier.push(child)\n return []\n util.raiseNotDefined()","def breadthFirstSearch(problem):\n \"*** YOUR CODE HERE ***\"\n\n # fringe priority queue\n fringe = util.PriorityQueue()\n fringe.push([problem.getStartState()],1) # fringe will have (priority, order, [s0,s1,..])\n\n # closed set\n closed = []\n\n i = 0\n while not fringe.isEmpty():\n\n # get highest priority path for expansion e.g. [s0,s2,s4]\n path_exp = fringe.pop()\n\n # take last node in path e.g. s4\n node_exp = path_exp[-1]\n\n # check goal state\n if problem.isGoalState(node_exp): # check if goal\n actions = actions_for_path(problem,path_exp)\n #import pdb; pdb.set_trace()\n return actions\n\n # add expanded node into closed set e.g. [s0,s1,s2]\n if node_exp not in closed:\n closed.append(node_exp)\n else:\n # if it's in the closed set, don't expand\n continue\n\n # get sucessors to expand fringe\n successors = problem.getSuccessors(node_exp)\n for successor in successors:\n # unpack states, actions\n ss,aa,_ = successor\n if ss not in closed:\n path = path_exp+[ss]\n # expand fringe by adding candidate paths, prioritize by len of path\n fringe.push(path,len(path))\n\n #i+=1\n if i==1000:\n import pdb; pdb.set_trace()\n\n util.raiseNotDefined()","def part_1(maze: 'Maze') -> int:\n\n result, _ = solve_maze(maze)\n\n print(f\"part 1: shortest path through maze takes {result} steps\")\n return result","def get_shortest_route_floyd(network, start,destination, excludings=[]):\n\n # On récupère la liste des villes\n list_city = network[1].keys()\n \n # Si la ville de départ ou de fin n'existe pas\n if start not in list_city or destination not in list_city:\n return None\n\n # On retire les villes à exclure\n list_city = [x for x in list_city if x not in excludings]\n\n\n # Initialisation de se qu'on a besoin\n matrix = []\n distance = []\n n = len(list_city)\n\n \n # On construit la matrice adjacente où indique la distance si il existe une autoroute entre 2 villes\n for x in range(n): \n matrix.append( [] )\n distance.append( [] )\n for y in range(n):\n road_id = get_road_to(network,list_city[x],list_city[y])\n if road_id != None:\n matrix[x].append( get_length(network,road_id) )\n else:\n matrix[x].append( None )\n distance[x].append( [road_id] ) # Autoroute -> format: ['LA']\n\n\t \n # Algorithme de Floyd\n for k in range(n):\n for i in range(n):\n for j in range(n):\n if ( matrix[i][k] != None and matrix[k][j] != None ) and ( ( matrix[i][j] == None ) or ( matrix[i][j] > matrix[i][k] + matrix[k][j] ) ):\n matrix[i][j] = matrix[i][k] + matrix[k][j]\n\t\t \n\t\t # Hors Floyd / Ajout personnel\n if i != k and j != k: # Si i == k ou j == k, cela veut dire qu'on additionne un résultat supplémentaire à la case ij\n distance[i][j] = [] # Sinon ca signifie qu'on a trouvé un chemin plus court, du coup on supprime l'ancien chemin\n distance[i][j].extend( distance[i][k] ) # Chemin d'autoroute parcouru en plus -> format: ['LA','AH']\n distance[i][j].extend( distance[k][j] ) # Chemin d'autoroute parcouru en plus -> format: ['LA','AH']\n\n\t\t \n # On récupère simplement la liste des autoroutes parcourus\n idx_start = list_city.index( start )\n idx_destination = list_city.index( destination )\n distance_minimum = distance[ idx_start ][ idx_destination ]\n\n \n # Si on ne trouve aucune solution, on renvoie None\n if distance_minimum == [None]:\n distance_minimum = None\n \n return distance_minimum","def bisezione(f,a,b,toll=10**-5):\n m = (a+b)/2\n f_m = f(m)\n while abs(f_m) > toll:\n if f(a)*f_m < 0:\n b = m\n elif f(b)*f_m < 0:\n a = m\n elif f_m == 0:\n print(\"Trovata solzione esatta\")\n return m\n else:\n print(\"Metodo fallito\")\n return None\n m = (a+b)/2\n f_m = f(m)\n return m","def solve(num_wizards, num_constraints, wizards, constraints):\n print(\"starting time\")\n start = time.time()\n print(\"hello\")\n end = time.time()\n print(\"time taken\",end - start)\n random.shuffle(wizards)\n assignment = wizards\n loop_counter = 0\n temperature = 10.0\n while not numSat(constraints, assignment) == len(constraints):\n loop_counter += 1\n if loop_counter % 500 == 0:\n print(\"numSat\", numSat(constraints, assignment))\n print(\"loops\",loop_counter)\n print(\"time taken\", time.time()-start)\n a = random.sample([i for i in range(len(wizards))], 1)\n b = random.sample([i for i in range(len(wizards))], 1)\n new_assignment = swap(assignment, a[0], b[0])\n delta = numSat(constraints, assignment) - numSat(constraints, new_assignment)\n if delta < 0:\n print(\"delta negative\")\n assignment = new_assignment\n else: \n # print(\"sample greater than expo\")\n sample = random.uniform(0.0,1.0)\n expo = np.exp(-1*float(delta) / temperature)\n if sample < expo:\n # print(\"sample less than expo\")\n assignment = new_assignment\n temperature -= 0.2\n\n print(\"Solved BITCH! numSat:\", numSat(constraints, assignment))\n return assignment","def safeJourney(Alist,s,d):\n #Initialize dictionaries\n dinit = 10**6\n Edict = {} #Explored nodes\n Udict = {} #Unexplored nodes\n path = [[] for l in Alist]\n\n Alen = len(Alist) #length of Alist\n dinits = [dinit]*Alen #list of airport indexes\n Udict = dict(zip(list(range(Alen)),dinits)) #zip into dictionary\n Udict[s] = 0\n path[s] = [s]\n \n #Main search\n while len(Udict)>0:\n #Find node with min d in Udict and move to Edict\n dmin = dinit\n for n,w in Udict.items():\n if w<dmin:\n dmin=w\n nmin=n\n Edict[nmin] = Udict.pop(nmin)\n print(\"moved node\", nmin)\n\n #Update provisional distances for unexplored neighbors of nmin\n \n #for n,w in G.adj[nmin].items():\n for item in Alist[nmin]: #nminth element is a list of two element tuples (node, weight)\n n = item[0] #first elt of tuple is node/neighbour\n w = item[1] #2nd elt is density/weigh\n #for n,w in etc_______________________-\n \n if n in Edict:\n pass\n elif n in Udict:\n #dcomp = dmin + w\n dcomp = max(w,dmin) #take largest value to record most dangerous segment\n if dcomp<Udict[n]:\n print(Udict)\n Udict[n]=dcomp\n path[n] = path[nmin] + [n]\n #path[n].extend(path[nmin])\n #path[n] = path[nmin]\n \n #path[n].append(n) #n not nmin\n print(path)\n # else:\n #dcomp = dmin + w\n # dcomp = max(w,dmin)\n # Udict[n] = dcomp\n #path[n].extend(path[nmin])\n #path[n].append(nmin) \n \n if nmin == d: #if current node is destination\n return path[d],Edict[d]\n return [] #no path","def MinimizeDFA(self, ):\n\n def Split(S):\n \"\"\"This function split a given set according to their\n reaction to input characters.\"\"\"\n # for each char do\n # if c splits S into s1 and s2\n # then return {s1, s2}\n \n # return S\n\n # T <- {Da, {D - Da}}\n # P <- {}\n\n T = [[ID for ID in range(self.NumStates + 1) if ID not in self.AcceptStates],\n self.AcceptStates]\n Set1 = [ID for ID in range(self.NumStates + 1) if ID not in self.AcceptStates]\n if Set1:\n T = [Set1, self.AcceptStates]\n else:\n T = [self.AcceptStates]\n P = list()\n\n # Minimize DFA using the following algorithm:\n # \n # while P != T do\n # P <- T\n # T <- {}\n # for each set p in P do\n # T <- T | Split(p)\n __counter = 0\n while len(P) != len(T):\n if __counter > 10:\n print \"ERROR: loop forever\"\n exit()\n __counter += 1\n \n P = T[:]\n T = list()\n for p in P:\n if len(p) == 1:\n # p has only one member, nothing to split\n T.append(p)\n continue\n # p should not be empty\n assert p\n\n s1 = list()\n s2 = list()\n # main splitting function\n for idx, char in enumerate(rule.ForAllChar()):\n for state in p:\n # state should be a string\n key = str(state) + '_' + char\n if key in self.TransitionMap:\n if self.TransitionMap[key] not in p:\n s2.append(state)\n else:\n s1.append(state)\n else:\n s2.append(state)\n \n if s2 and s1:\n # set splitted. exit the loop to update the main list\n break\n elif idx < len(rule.ForAllChar()) - 1:\n # clear s1 and s2, enter the next round\n del s1[:]\n del s2[:]\n\n if not s2 or not s1:\n # the set is not splitted, so just append p\n T.append(p)\n else:\n # set is splitted into s1 and s2\n T.append(s1)\n T.append(s2)\n\n # Now, create a new Transition Map\n NewTransitionMap = dict()\n for States in T:\n for char in rule.ForAllChar():\n key = str(States[0]) + '_' + char\n if key in self.TransitionMap:\n # Cannot directly copy the destination state, because they\n # already have new ids. have to use the new state id here\n for states in T:\n if self.TransitionMap[key] in states:\n # doesn't matter which id in the set is used, since\n # they all have the same behavior\n # choose first state here\n NewTransitionMap[key] = states[0]\n \n self.TransitionMap = dict(NewTransitionMap.items())\n \n # Modify the accepting State\n NewAcceptStates = set()\n for States in T:\n for state in States:\n if state in self.AcceptStates:\n NewAcceptStates.add(States[0])\n break\n self.AcceptStates = list(NewAcceptStates)\n \n # Modify the starting State\n NewStartStates = set()\n for States in T:\n for state in States:\n if state in self.StartStates:\n NewStartStates.add(States[0])\n break\n self.StartStates = list(NewStartStates)\n\n # for key, value in self.TransitionMap.items():\n # print key, '=>', value\n # print 'Accept =', self.AcceptStates\n # print 'Start =', self.StartStates","def resolve_internal(g, path):\n n = len(g)\n for step in range(1, n):\n for k in range(n):\n for i in range(n):\n for j in range(n):\n cost = g[i][k][step-1] * g[k][j][0]\n if g[i][j][step] < cost:\n g[i][j][step] = cost\n path[i][j][step] = k\n if i == j and g[i][i][step] > 1.01:\n return recover_path(path, n, step, i, j)\n return None","def method1(automaton, level):\r\n\r\n old_bad_twin = automaton\r\n i = 1\r\n while i <= level:\r\n new_bad_twin = generate_bad_twin(old_bad_twin, i)\r\n good_twin = generate_good_twin(new_bad_twin)\r\n synchronized, ambiguous_transitions = synchronize_1(new_bad_twin, good_twin)\r\n for src_name, dst_name in ambiguous_transitions:\r\n states = synchronized.get_states()\r\n if find_loops(states[dst_name], {src_name}):\r\n return i - 1\r\n old_bad_twin = new_bad_twin\r\n i += 1\r\n return True","def astar_map(map, start, end):\n\n # Create start and end node\n start_node = Node3(None, start)\n start_node.g = start_node.h = start_node.f = 0\n end_node = Node3(None, end)\n end_node.g = end_node.h = end_node.f = 0\n\n # Initialize both open and closed list\n open_list = []\n closed_list = []\n\n # Add the start node\n open_list.append(start_node)\n\n # Loop until you find the end\n x = 0\n while len(open_list) > 0:\n x+=1\n # Get the current node\n current_node = open_list[0]\n \n current_index = 0\n for index, item in enumerate(open_list):\n if item.f < current_node.f:\n current_node = item\n current_index = index\n\n # Pop current off open list, add to closed list\n open_list.pop(current_index)\n closed_list.append(current_node)\n\n # Found the goal\n if current_node.position == end_node.position:\n path = []\n current = current_node\n while current is not None:\n path.append(current.position)\n current = current.parent\n return path[::-1] # Return reversed path\n\n # Generate children\n children = []\n for key in map:\n if key == tuple(current_node.position):\n for elem in map[key]:\n new_node = Node3(current_node, elem[0],elem[1])\n children.append(new_node)\n\n # Loop through children\n for child in children:\n\n # Child is on the closed list\n for closed_child in closed_list:\n if child == closed_child:\n continue\n\n # Create the f, g, and h values \n child.g = current_node.g + child.cost\n child.h = ((child.position[0] - end_node.position[0]) ** 2) + ((child.position[1] - end_node.position[1]) ** 2)\n child.f = child.g + child.h\n\n # Child is already in the open list\n for open_node in open_list:\n if child == open_node and child.g > open_node.g:\n continue\n # Add the child to the open list\n open_list.append(child)","def a_star_graph(graph, h, start, goal):\n \n path = []\n queue = PriorityQueue()\n queue.put((0, start))\n visited = set(start)\n\n branch = {}\n found = False\n \n while not queue.empty():\n item = queue.get()\n current_cost = item[0]\n current_node = item[1]\n\n if current_node == goal: \n print('Found a path.')\n found = True\n break\n else:\n for next_node in graph[current_node]:\n cost = graph.edges[current_node, next_node]['weight']\n new_cost = current_cost + cost + h(next_node, goal)\n \n if next_node not in visited: \n visited.add(next_node) \n queue.put((new_cost, next_node))\n \n branch[next_node] = (new_cost, current_node)\n \n path = []\n path_cost = 0\n if found:\n \n # retrace steps\n path = []\n n = goal\n path_cost = branch[n][0]\n while branch[n][1] != start:\n path.append(branch[n][1])\n n = branch[n][1]\n path.append(branch[n][1])\n \n return path[::-1], path_cost","def bfs(start, goal):\n queue = [(start, [start])]\n visited = set([start])\n while queue:\n (vertex, path) = queue.pop(0)\n if vertex == goal:\n return path\n\n for word in bank:\n count = 0\n for i, c in enumerate(vertex): # Count differences\n if c != word[i]:\n count += 1\n if count == 1: # Valid neighbor\n if word not in visited:\n visited.add(word)\n queue.append((word, path + [word]))\n\n return \"No path found :(\"","def chessboardGame(x, y):\n xin = x\n yin = y\n\n # These squares have no possible move, therefore, are losing;\n # we chose these squares by sight; while loop below expands these sets\n # until we encompass whole board\n # it was not clear to me in the beginning that every square has a unique\n # determinant ending under optimal play\n losing_start = set([(1, 1), (2, 1), (1, 2), (2, 2)])\n\n # These squares can jump to losing_start in one move, so are winning\n winning_start = set([(1, 3), (1, 4), (2, 3), (2, 4),\n (3, 1), (3, 2), (3, 3), (3, 4),\n (4, 1), (4, 2), (4, 3)])\n\n def nextset(x, y):\n def isvalid(coord):\n return True if coord[0] >= 1 and coord[1] >= 1 \\\n and coord[0] <= 15 and coord[1] <= 15 else False\n\n nextsquares = [(x - 2, y + 1), (x - 2, y - 1), (x + 1, y - 2),\n (x - 1, y - 2)]\n nextsquares = set([*filter(isvalid, nextsquares)])\n # print(nextsquares)\n return nextsquares\n\n # run a few times through whole board;\n # it takes 5 times to find a definitive win path for all 225 squares\n # 161 squares are winning for first player\n # 64 squares are losing starting for first player\n test_set = [(i, j) for i in range(1, 16) for j in range(1, 16)]\n times = 1\n while (len(winning_start) + len(losing_start)) < 225:\n for coords in test_set:\n x_ = coords[0]\n y_ = coords[1]\n thenextset = nextset(x_, y_)\n # print('testing', x_, y_, thenextset)\n\n if (x_, y_) in losing_start:\n # print('No Path, Second wins')\n pass\n elif (x_, y_) in winning_start:\n # print('One jump to terminal square, First wins')\n pass\n elif (len(winning_start.intersection(thenextset))\n == len(thenextset)):\n # if next set ONLY includes winning_starts, First loses because\n # he has no choice but give win to opponent\n # need to add x,y to losing_start\n losing_start.add((x_, y_))\n # print('we lose, Second wins')\n elif len(losing_start.intersection(thenextset)) > 0:\n # if next set includes ANY losing_start, we win by choosing it\n # need to add x,y to winning_start\n winning_start.add((x_, y_))\n # print('First wins')\n else:\n # print('do not know')\n pass\n\n print('Run', times, len(winning_start) + len(losing_start))\n times += 1\n\n print(len(winning_start))\n print(len(losing_start))\n\n # prints schematic of Winor Loss of each of 15x15 squares\n\n print(' '.join(map(str, [i for i in range(1, 16)])))\n for i in range(15):\n row = ''\n for j in range(15):\n if test_set[i * 15 + j] in winning_start:\n row = row + 'W '\n else:\n row = row + 'L '\n print(row + str(i))\n\n if (xin, yin) in winning_start:\n print('First wins with', xin, yin)\n return 'First'\n else:\n print('Second wins with', xin, yin)\n return 'Second'","def a_star_graph_complete(graph, start, goal, h,Ac = ActionCost, valid_action = valid_actions):\n \n # TODO: complete\n queue = PriorityQueue()\n queue.put((0, start))\n visited = set(start)\n\n branch = {}\n found = False\n \n while not queue.empty():\n item = queue.get()\n current_cost = item[0]\n current_node = item[1]\n\n if current_node == goal: \n print('Found a path.')\n found = True\n break\n else:\n for next_node in graph[current_node]:\n cost = graph.edges[current_node, next_node]['weight']\n new_cost = current_cost + cost + h(next_node, goal)\n \n if next_node not in visited: \n visited.add(next_node) \n queue.put((new_cost, next_node))\n \n branch[next_node] = (new_cost, current_node)\n if(found):\n path,path_cost = retrivePathWithCost(start, goal, branch)\n else:\n print(\"path Not Found\")\n\n return path,path_cost","def breadthFirstSearch(problem):\n \"*** YOUR CODE HERE ***\"\n #the logic is same as for DFS just that i made use of a Queue data structure\n #Here the queue acts as a FIFO queue\n neighbourNodes = util.Queue()\n moves = []\n neighbourNodes.push((problem.getStartState(),moves))\n seenNodes = set()\n\n while not neighbourNodes.isEmpty():\n poppedNodeState, poppedNodeAction= neighbourNodes.pop()\n if(poppedNodeState in seenNodes):\n continue\n if problem.isGoalState(poppedNodeState):\n return poppedNodeAction\n seenNodes.add(poppedNodeState)\n for state, action, cost in problem.getSuccessors(poppedNodeState):\n if(state in seenNodes):\n continue\n neighbourNodes.push((state, poppedNodeAction+[action]))\n return moves\n #util.raiseNotDefined()","def board_feasible(R):\n cur_pos = [(0, 1), (1, 7), (4, 4), (6, 0), (7, 6)]\n for nxt_pos in R[:-2]:\n if cur_pos and nxt_pos:\n if not move_feasible(cur_pos, nxt_pos):\n return False\n cur_pos = nxt_pos\n return True"],"string":"[\n \"def mLFG(a,b,m):\\n \\n require_integers([\\\"a\\\",\\\"b\\\",\\\"m\\\"],[a,b,m])\\n \\n while True:\\n yield a\\n a,b = b,(a*b)%m\",\n \"def aLFG(a,b,m):\\n \\n require_integers([\\\"a\\\",\\\"b\\\",\\\"m\\\"],[a,b,m])\\n \\n while True:\\n yield a\\n a,b = b,(a+b)%m\",\n \"def ackermanFunc(m, n):\\n\\n \\\"\\\"\\\"First validate that they're both positive.\\\"\\\"\\\"\\n if m < 0 or n < 0:\\n return None\\n\\n \\\"\\\"\\\"Run the function\\\"\\\"\\\"\\n if m == 0:\\n n+1\\n elif m > 0 and n == 0:\\n m = m - 1\\n ackermanFunc(m, 1)\\n else:\\n mMin = m - 1\\n nMin = n - 1\\n newN = ackermanFunc(m, nMin)\\n ackermanFunc(mMin, newN)\\n\\n return (m, n)\",\n \"def gLFG(a,b,m,func):\\n \\n require_integers([\\\"a\\\",\\\"b\\\",\\\"m\\\"],[a,b,m])\\n \\n while True:\\n yield a\\n a,b = b,func(a,b)%m\",\n \"def test_heuristic_first_steps(self):\\n graph = {n: set(self.deterministic_graph[n]) - set([n])\\n for n in self.deterministic_graph}\\n print(\\\"Graph {}:\\\".format(graph))\\n elim_node = min_fill_in_heuristic(graph)\\n steps = []\\n\\n while elim_node is not None:\\n print(\\\"Removing {}:\\\".format(elim_node))\\n steps.append(elim_node)\\n nbrs = graph[elim_node]\\n\\n for u, v in itertools.permutations(nbrs, 2):\\n if v not in graph[u]:\\n graph[u].add(v)\\n\\n for u in graph:\\n if elim_node in graph[u]:\\n graph[u].remove(elim_node)\\n\\n del graph[elim_node]\\n print(\\\"Graph {}:\\\".format(graph))\\n elim_node = min_fill_in_heuristic(graph)\\n\\n # check only the first 2 elements for equality\\n assert_equals(steps[:2], [6, 5])\",\n \"def BBS(initial_state, check_dict):\\r\\n \\r\\n print(\\\"Implementing BBS...\\\")\\r\\n \\r\\n q = []\\r\\n heapq.heappush(q, (initial_state[0][2], initial_state))\\r\\n accomplished = False\\r\\n \\r\\n while len(q) != 0:\\r\\n path = heapq.heappop(q)[1]\\r\\n \\r\\n if is_goal(path[-1][0]):\\r\\n goal = path\\r\\n accomplished = True\\r\\n break\\r\\n \\r\\n state_container = next_possible_states(path, check_dict, False)\\r\\n for i in state_container:\\r\\n if len(path) <= 1:\\r\\n temp = list(path)\\r\\n temp.append(i)\\r\\n heapq.heappush(q, (i[2], temp))\\r\\n else:\\r\\n if i[0] != path[-2][0]:\\r\\n temp = list(path)\\r\\n temp.append(i)\\r\\n heapq.heappush(q, (i[2], temp))\\r\\n \\r\\n if accomplished:\\r\\n print(\\\"Solved! Number of moves:\\\", len(goal) - 1)\\r\\n return goal, True\\r\\n else:\\r\\n print(\\\"Cannot be solved. Number of moves:\\\", len(path) - 1)\\r\\n return path, False\",\n \"def solve(num_wizards, num_constraints, wizards, constraints):\\n\\n # print(num_wizards)\\n # print(num_constraints)\\n # print(wizards)\\n # print(constraints)\\n # node_set = set(wizards)\\n \\n\\n\\n def cost(sol,num_constraints,constraints):\\n constraints_satisfied = 0\\n constraints_failed = []\\n output_ordering_map = {k: v for v, k in enumerate(sol)}\\n for c in constraints:\\n\\n m = output_ordering_map # Creating an alias for easy reference\\n\\n wiz_a = m[c[0]]\\n wiz_b = m[c[1]]\\n wiz_mid = m[c[2]]\\n\\n if (wiz_a < wiz_mid < wiz_b) or (wiz_b < wiz_mid < wiz_a):\\n constraints_failed.append(c)\\n else:\\n constraints_satisfied += 1\\n return num_constraints - constraints_satisfied\\n\\n def neighbors(sol):\\n wiz1 = random.randint(0,num_wizards-1)\\n wiz2 = random.randint(0,num_wizards-1)\\n\\n new_sol = copy.copy(sol)\\n temp = new_sol[wiz1]\\n new_sol[wiz1] = new_sol[wiz2]\\n new_sol[wiz2] = temp\\n \\n return new_sol\\n\\n def acceptance_probability(old_cost,new_cost,T):\\n exponent = (old_cost - new_cost) / T\\n \\n try:\\n ans = math.exp(exponent)\\n except OverflowError:\\n ans = float('inf')\\n return ans\\n\\n\\n def anneal(solution, num_constraints, constraints):\\n old_cost = 0\\n new_cost = 0\\n old_cost = cost(solution,num_constraints,constraints)\\n T = 1.0\\n T_min = 0.000001\\n alpha = 0.98\\n while T > T_min:\\n i = 1\\n while i <= 1000:\\n new_solution = neighbors(solution)\\n new_cost = cost(new_solution,num_constraints,constraints)\\n if new_cost == 0:\\n return new_solution,new_cost\\n ap = acceptance_probability(old_cost, new_cost, T)\\n if ap > random.random():\\n solution = new_solution\\n old_cost = new_cost\\n i += 1\\n T = T*alpha\\n return solution, old_cost\\n\\n s = copy.copy(wizards)\\n random.shuffle(s)\\n ret = anneal(s,num_constraints,constraints)\\n \\n for i in range(10):\\n if ret[1] == 0:\\n break\\n random.shuffle(s)\\n new_ret = anneal(s,num_constraints,constraints)\\n print(i)\\n if new_ret[1] < ret[1]:\\n ret = new_ret\\n print(\\\"constraints failed: {0}\\\".format(ret[1]))\\n return ret[0]\",\n \"def brents(f, x0, x1, max_iter=50, tolerance=1e-5):\\n \\n fx0 = f(x0)\\n fx1 = f(x1)\\n \\n assert (fx0 * fx1) <= 0, \\\"Root not bracketed\\\" \\n \\n if abs(fx0) < abs(fx1):\\n x0, x1 = x1, x0\\n fx0, fx1 = fx1, fx0\\n \\n x2, fx2 = x0, fx0\\n \\n d = np.nan\\n mflag = True\\n steps_taken = 0\\n \\n while steps_taken < max_iter and abs(x1-x0) > tolerance:\\n fx0 = f(x0)\\n fx1 = f(x1)\\n fx2 = f(x2)\\n \\n if fx0 != fx2 and fx1 != fx2:\\n L0 = (x0 * fx1 * fx2) / ((fx0 - fx1) * (fx0 - fx2))\\n L1 = (x1 * fx0 * fx2) / ((fx1 - fx0) * (fx1 - fx2))\\n L2 = (x2 * fx1 * fx0) / ((fx2 - fx0) * (fx2 - fx1))\\n new = L0 + L1 + L2\\n \\n else:\\n new = x1 - ( (fx1 * (x1 - x0)) / (fx1 - fx0) )\\n \\n tt1 = (new < ((3 * x0 + x1) / 4) or new > x1)\\n tt2 = (mflag == True and (abs(new - x1)) >= (abs(x1 - x2) / 2))\\n tt3 = (mflag == False and (abs(new - x1)) >= (abs(x2 - d) / 2))\\n tt4 = (mflag == True and (abs(x1 - x2)) < tolerance)\\n tt5 = (mflag == False and (abs(x2 - d)) < tolerance)\\n if (tt1 or\\n tt2 or\\n tt3 or\\n tt4 or\\n tt5):\\n new = (x0 + x1) / 2\\n mflag = True\\n \\n else:\\n mflag = False\\n \\n fnew = f(new)\\n d, x2 = x2, x1\\n \\n if (fx0 * fnew) < 0:\\n x1 = new\\n else:\\n x0 = new\\n \\n if abs(fx0) < abs(fx1):\\n x0, x1 = x1, x0\\n \\n steps_taken += 1\\n \\n return x1, steps_taken\",\n \"def uniformCostSearch(problem):\\n \\\"*** YOUR CODE HERE ***\\\"\\n path_to_point = {}\\n cost_to_point = {}\\n\\n # Get the start node\\n start_node = problem.getStartState()\\n fringe_node = [start_node]\\n path_to_point[start_node] = []\\n cost_to_point[start_node] = problem.getCostOfActions(path_to_point[start_node])\\n\\n goal_found = False\\n\\n while(not goal_found):\\n #for i in range(100): \\n nodes_to_expand = set()\\n # get max value node in the fringe node\\n min_val = float(\\\"inf\\\")\\n for one_node in fringe_node:\\n # Compute the cost to reach a node\\n if cost_to_point[one_node] < min_val:\\n min_val = cost_to_point[one_node]\\n \\n for one_node in fringe_node:\\n # Compute the cost to reach a node\\n if cost_to_point[one_node] == min_val:\\n nodes_to_expand.add(one_node)\\n fringe_node.remove(one_node)\\n\\n # Expand the fringe node \\n for one_node in nodes_to_expand:\\n path_to_parent = path_to_point[one_node]\\n for nxt_node in problem.getSuccessors(one_node):\\n pos = nxt_node[0]\\n mv = nxt_node[1]\\n # check if point already present in path to point\\n prev_cost = float(\\\"inf\\\")\\n if pos in cost_to_point:\\n prev_cost = cost_to_point[pos]\\n new_path = path_to_parent + [mv]\\n if prev_cost > problem.getCostOfActions(new_path):\\n path_to_point[pos] = new_path\\n cost_to_point[pos] = problem.getCostOfActions(new_path)\\n fringe_node.append(pos)\\n\\n # Check if destination is reached in the fringe node\\n for one_node in fringe_node:\\n if problem.isGoalState(one_node):\\n final_node = one_node\\n goal_found = True\\n break\\n \\n #print(len(fringe_node))\\n print(final_node)\\n print(path_to_point[final_node])\\n return path_to_point[final_node] \\n\\n util.raiseNotDefined()\",\n \"def BFS(initial_state, check_dict):\\r\\n \\r\\n print(\\\"Implementing BFS...\\\")\\r\\n q = deque()\\r\\n q.append(initial_state)\\r\\n accomplished = False\\r\\n \\r\\n while len(q) != 0:\\r\\n path = q.pop()\\r\\n \\r\\n if is_goal(path[-1][0]):\\r\\n goal = path\\r\\n accomplished = True\\r\\n break\\r\\n \\r\\n state_container = next_possible_states(path, check_dict, False)\\r\\n for i in state_container:\\r\\n if len(path) <= 1:\\r\\n temp = list(path)\\r\\n temp.append(i)\\r\\n q.appendleft(temp)\\r\\n else:\\r\\n if i[0] != path[-2][0]:\\r\\n temp = list(path)\\r\\n temp.append(i)\\r\\n q.appendleft(temp)\\r\\n\\r\\n \\r\\n if accomplished:\\r\\n print(\\\"Solved! Number of moves:\\\", len(goal) - 1)\\r\\n return goal, True\\r\\n else:\\r\\n print(\\\"Cannot be solved. Number of moves:\\\", len(path) - 1)\\r\\n print(path)\\r\\n return path, False\",\n \"def fn(i, j):\\n grid2[i][j] = 0 # mark as visited \\n ans = grid1[i][j]\\n for ii, jj in (i-1, j), (i, j-1), (i, j+1), (i+1, j): \\n if 0 <= ii < m and 0 <= jj < n and grid2[ii][jj]: \\n ans &= fn(ii, jj)\\n return ans\",\n \"def get_change_recursive(m):\\n if m < 0:\\n raise ValueError(\\\"Invalid negative amount\\\")\\n if m == 0:\\n raise ValueError(\\\"ok 0 moves, but this shouldn't happen either.\\\")\\n\\n if m in [1, 3, 4]:\\n return 1\\n\\n alt_paths = [get_change_recursive(m-1)]\\n\\n if m > 3:\\n alt_paths.append(get_change_recursive(m-3))\\n if m > 4:\\n alt_paths.append(get_change_recursive(m-4))\\n\\n return min(alt_paths) + 1\",\n \"def BestFS(initial_state, check_dict):\\r\\n \\r\\n print(\\\"Implementing BestFS...\\\")\\r\\n q = []\\r\\n q.append(initial_state)\\r\\n accomplished = False\\r\\n \\r\\n while len(q) != 0:\\r\\n path = q.pop()\\r\\n \\r\\n if is_goal(path[-1][0]):\\r\\n goal = path\\r\\n accomplished = True\\r\\n break\\r\\n \\r\\n state_container = next_possible_states(path, check_dict, False)\\r\\n for i in state_container:\\r\\n if len(path) <= 1:\\r\\n temp = list(path)\\r\\n temp.append(i)\\r\\n q.append(temp)\\r\\n else:\\r\\n if i[0] != path[-2][0]:\\r\\n temp = list(path)\\r\\n temp.append(i)\\r\\n q.append(temp)\\r\\n \\r\\n q.sort(key = lambda x: x[-1][2], reverse = True)\\r\\n \\r\\n if accomplished:\\r\\n print(\\\"Solved! Number of moves:\\\", len(goal) - 1)\\r\\n return goal, True\\r\\n else:\\r\\n print(\\\"Cannot be solved. Number of moves:\\\", len(path) - 1)\\r\\n print(path)\\r\\n return path, False\",\n \"def mc_problem(start=(3, 3, 1, 0, 0, 0), goal=None):\\n if goal is None:\\n goal = (0,0,0) + start[:3]\\n if start == goal:\\n return [start]\\n explored = set() #set of states we have visited\\n frontier = [[start]] #ordered list of paths we have blazed\\n while frontier:\\n path = frontier.pop(0)\\n s = path[-1]\\n for (state, action) in csuccessors(s).items():\\n if state not in explored:\\n explored.add(state)\\n path2 = path + [action, state]\\n if state == goal:\\n return path2\\n else:\\n frontier.append(path2)\\n return fail\",\n \"def BFS(maze: list, start: tuple, goal: tuple):\\n n = len(maze) # Get the dimension of the maze\\n\\n #========================================#\\n # Some data checking statements\\n\\n if (not is_valid(start, n)):\\n print(\\\"BFS: Start indices outside maze dimensions\\\")\\n return False\\n elif (not is_valid(goal, n)):\\n print(\\\"BFS: Goal indices outside maze dimensions\\\")\\n return False\\n\\n # End data checking statements\\n #========================================#\\n\\n number_of_nodes_visited = 0\\n visited = copy.deepcopy(maze) # We can use a copy of the maze to keep track of visited squares (Considered using a set here, thought that time efficiency was important)\\n # visited = list(map(list, maze)) # Alternative to using copy.deepcopy\\n\\n # Initialize a matrix of the same size as maze where each value is None.\\n previous = [[None for i in range(n)] for j in range(n)]\\n\\n queue = deque() # Define our queue of \\\"fringe\\\" squares\\n queue.append(start) # Push the start square into our queue\\n visited[start[0]][start[1]] = 1 # Set our start to visited\\n\\n while (len(queue)): # While there exists items in the queue\\n current = queue.popleft() # Pop the square at index 0\\n number_of_nodes_visited += 1 # Increase number of nodes visited\\n\\n if (current == goal): # If current is the goal, we found it!\\n # We now want to traverse back to make a path using our 'previous' matrix\\n path = []\\n while (current != None):\\n path.append(current)\\n current = previous[current[0]][current[1]]\\n path.reverse()\\n return (True, path, number_of_nodes_visited)\\n\\n current_i, current_j = current # Unpack the current pair\\n \\n # Now we want to add all unvisited squares that are possible to get to from the current square\\n for i in range(len(nearby_offsets)):\\n offset_i, offset_j = nearby_offsets[i]\\n possible = (current_i + offset_i, current_j + offset_j)\\n # print(f\\\"Current possible: {possible_i} {possible_j}\\\") # DEBUG\\n if (is_valid(possible, n)): # If the calculated square is within the maze matrix\\n # If possible has not been visited yet\\n if (not visited[possible[0]][possible[1]]):\\n queue.append(possible) # Add possible to our queue\\n # Set possible to visited\\n visited[possible[0]][possible[1]] = 1\\n # Set the previous square for possible to the current square\\n previous[possible[0]][possible[1]] = current\\n # If the while loop goes out, and the queue is empty, then there is no possible path\\n return (False, [], number_of_nodes_visited)\",\n \"def factorialb(m): #defining this solution as factorialb - factorial option b\\n ans = 1\\n for i in range(2, m + 1):\\n ans = ans * i\\n return ans\",\n \"def fastestWay( a, t, e, x, n ):\\n import pdb;pdb.set_trace() \\n f1.append( ( e[0] , 1 ) )\\n f2.append( ( e[1] , 2 ) )\\n for i in xrange(n):\\n f11 = f1[i][0]+a[0][i]\\n f12 = f2[i][0]+a[1][i]+t[1][i+1]\\n f22 = f2[i][0]+a[1][i]\\n f21 = f1[i][0]+a[0][i]+t[0][i+1]\\n\\n f1.append( ( min( f11, f12 ), 1 ) if f11 < f12 else ( min( f11, f12 ), 2 ) )\\n f2.append( ( min( f21, f22 ), 2 ) if f22 < f21 else ( min( f22, f21 ), 1 ) )\\n\\n f1x, f2x = f1[n][0]+x[0], f2[n][0]+x[1] \\n return ( min( f1x, f2x ) , f1 ) if f1x < f2x else ( min( f1x, f2x ), f2 )\",\n \"def solution(n, s, a, b, fares):\\n\\n table = [[float(\\\"inf\\\")]*n for _ in range(n)]\\n for (c, d, f) in fares:\\n table[c-1][d-1] = f\\n table[d-1][c-1] = f\\n\\n for idx in range(n):\\n table[idx][idx] = 0\\n\\n # do floyd to find all shortest paths\\n for kdx in range(n):\\n for idx in range(n):\\n for jdx in range(n):\\n table[idx][jdx] = min(table[idx][jdx], table[idx][kdx] + table[kdx][jdx])\\n \\n# for row in table:\\n# print(row)\\n \\n answer = table[s-1][a-1] + table[s-1][b-1]\\n # print(\\\"seperate:\\\", answer)\\n for idx in range(n):\\n # print(\\\"idx 경유:\\\", idx, table[s-1][idx] + table[idx][a-1] + table[idx][b-1])\\n answer = min(answer, table[s-1][idx] + table[idx][a-1] + table[idx][b-1])\\n\\n # print(\\\"answer:\\\", answer)\\n return answer\",\n \"def a_star_alg(self, p1: int, p2: int, max_level: int = 1000):\\r\\n \\r\\n # Create start and end node\\r\\n start_node = Node(None, p1, self.node_dict[p1])\\r\\n start_node.g = start_node.h = start_node.f = 0\\r\\n end_node = Node(None, p2, self.node_dict[p2])\\r\\n end_node.g = end_node.h = end_node.f = 0\\r\\n\\r\\n # Initialize both open and closed list\\r\\n open_list = []\\r\\n closed_list = []\\r\\n\\r\\n # Add the start node\\r\\n open_list.append(start_node)\\r\\n\\r\\n # Loop until you find the end\\r\\n level = 0\\r\\n while len(open_list) > 0 and level < max_level:\\r\\n level += 1\\r\\n\\r\\n # Get the current node (the node in open_list with the lowest cost)\\r\\n current_node = open_list[0]\\r\\n current_index = 0\\r\\n for index, item in enumerate(open_list):\\r\\n if item.f < current_node.f:\\r\\n current_node = item\\r\\n current_index = index\\r\\n\\r\\n # Pop current off open list, add to closed list\\r\\n open_list.pop(current_index)\\r\\n closed_list.append(current_node)\\r\\n\\r\\n # Found the goal\\r\\n if current_node == end_node:\\r\\n path = []\\r\\n distance = current_node.g\\r\\n current = current_node\\r\\n while current is not None:\\r\\n path.append(current.number)\\r\\n current = current.parent\\r\\n\\r\\n return path[::-1], distance # Return reversed path\\r\\n\\r\\n # Generate children\\r\\n children = []\\r\\n for new_number in self.road_tree[current_node.number]: # Adjacent nodes\\r\\n new_node = Node(current_node, new_number, self.node_dict[new_number])\\r\\n children.append(new_node)\\r\\n\\r\\n # Loop through children\\r\\n for child in children:\\r\\n append_to_open_list = False\\r\\n\\r\\n # Create the f, g, and h values\\r\\n child.g = current_node.g + self.road_dict[(current_node.number, child.number)]\\r\\n child.h = sqrt((child.x - end_node.x) ** 2 + (child.y - end_node.y) ** 2) / 200\\r\\n child.f = child.g + child.h\\r\\n\\r\\n # Child is already in the closed list\\r\\n closed_list, append_to_open_list = self.check_in_list(child, closed_list, append_to_open_list)\\r\\n\\r\\n # Child is already in the open list\\r\\n open_list, append_to_open_list = self.check_in_list(child, open_list, append_to_open_list)\\r\\n\\r\\n # Add the child to the open list\\r\\n if append_to_open_list:\\r\\n open_list.append(child)\\r\\n\\r\\n return [], 1e10\",\n \"def fast(maze):\\n # TODO: Write your code here\\n pq = []\\n visited = {}\\n\\n goals = maze.getObjectives()\\n goals_pq = new_pq(maze, goals, maze.getStart())\\n\\n f, curr_goal = heapq.heappop(goals_pq)\\n heapq.heappush(pq, (f, [maze.getStart()]))\\n\\n while len(pq) > 0:\\n curr_path = heapq.heappop(pq)[1]\\n curr = curr_path[-1]\\n\\n if curr in visited:\\n continue\\n heuristic = closest(maze, curr, curr_goal)\\n\\n f = heuristic + len(curr_path) - 1\\n visited[curr] = f\\n if curr in goals:\\n goals.remove(curr)\\n if len(goals) == 0:\\n return curr_path\\n else:\\n # print(\\\"before\\\")\\n # print(curr_goal)\\n goals_pq = new_pq(maze, goals, curr)\\n f, curr_goal = heapq.heappop(goals_pq)\\n # print(\\\"after\\\")\\n # print(curr_goal)\\n pq = []\\n heapq.heappush(pq, (f, curr_path))\\n visited.clear()\\n continue\\n for item in maze.getNeighbors(curr[0], curr[1]):\\n heuristic = closest(maze, item, curr_goal)\\n new_f = heuristic + len(curr_path) - 1\\n if item not in visited:\\n heapq.heappush(pq, (new_f, curr_path + [item]))\\n else: # checks if overlap has smaller f\\n if new_f < visited[item]:\\n visited[item] = new_f\\n heapq.heappush(pq, (new_f, curr_path + [item]))\\n return []\",\n \"def recursion(n, m):\\n try:\\n return 'Input whole positive numbers!' if n <= 0 or m <= 0 else n**m \\\\\\n if n == 1 else n**m + recursion(n-1, m)\\n except TypeError:\\n return 'Input whole positive numbers!'\",\n \"def optimal_sequence_bfs_nested(n):\\n if n == 1:\\n return [1]\\n\\n ops = [\\n lambda n: 0 if n % 3 else n // 3,\\n lambda n: 0 if n % 2 else n // 2,\\n lambda n: n - 1\\n ]\\n\\n solution = None\\n queue = [ (n,) ]\\n try:\\n while True:\\n previous = queue\\n queue = []\\n for steps in previous:\\n for new in [ op(steps[0]) for op in ops ]:\\n if new == 1:\\n solution = steps\\n raise SolutionFound\\n if new > 1:\\n queue.append((new, steps))\\n except SolutionFound:\\n pass\\n sequence = [1]\\n try:\\n while True:\\n sequence.append(solution[0])\\n solution = solution[1]\\n except IndexError:\\n pass\\n return sequence\",\n \"def CustomShortestPath(p1,p2,m,n):\\n L = [m,n]\\n custompath=[]\\n custompath.append(list(p1)) #add the start positon\\n randnum1 = int(random.random()*2)#generate a random order to correct in\\n randnum2 = 0\\n if randnum1 == 0:\\n randnum2 = 1\\n for i in [randnum1,randnum2]:\\n while p1[i] != p2[i]: #havent reached end of path\\n if p1[i] - p2[i]>0: #p1 to the right or below of p2\\n if abs(p1[i]-p2[i]) > L[i] - abs(p1[i]-p2[i]):#if its faster to jump\\n if p1[i] == L[i]-1: #reached edge\\n p1[i] = 0\\n else:\\n p1[i] = p1[i]+1 #move closer to edge\\n\\n else: #if direct is faster\\n p1[i] = p1[i]-1 #move right or down\\n custompath.append(list(p1))\\n\\n else: #p1 to the left or above of\\n if abs(p1[i]-p2[i]) > L[i] - abs(p1[i]-p2[i]):#if faster to jump\\n if p1[i] == 0: #reached edge\\n p1[i] = L[i]-1\\n else:\\n p1[i] = p1[i]-1 #move closer to edge\\n\\n else:#if direct is faster\\n p1[i] = p1[i]+1 #move right or down\\n custompath.append(list(p1))\\n return(custompath)\",\n \"def breadthFirstSearch(problem):\\n \\\"*** YOUR CODE HERE ***\\\"\\n # Get the start node\\n start_state = problem.getStartState()\\n print(start_state)\\n\\n # Define a stack\\n plan_stack = util.Queue()\\n start_plan = [start_state] # node, cost\\n plan_stack.push(start_plan)\\n\\n # Visited nodes\\n visited_nodes = set(start_state)\\n\\n goal_found = False\\n\\n while not goal_found:\\n # Get the plan from the stack\\n plan_to_expand = plan_stack.pop()\\n node_to_exp = plan_to_expand[-1]\\n all_nxt_nodes = problem.getSuccessors(node_to_exp)\\n\\n # Traverse through all the next nodes\\n for nxt_node in all_nxt_nodes:\\n nxt_pos = nxt_node[0]\\n\\n if nxt_pos in visited_nodes: # Check if node is already visited\\n continue\\n\\n visited_nodes.add(nxt_pos) # Add the node to visited nodes\\n nxt_plan = plan_to_expand + [nxt_pos] # add node to the plan\\n plan_stack.push(nxt_plan) # push the plan into the stack\\n goal_found = problem.isGoalState(nxt_pos) # Check if goal is achieved\\n if goal_found:\\n break\\n \\n \\n print(goal_found)\\n print(nxt_plan)\\n\\n moves = []\\n # Convert plan to moves\\n for i in range(len(nxt_plan) - 1):\\n for nxt_node in problem.getSuccessors(nxt_plan[i]):\\n nxt_pos = nxt_node[0]\\n nxt_mv = nxt_node[1]\\n if nxt_pos == nxt_plan[i+1]:\\n moves.append(nxt_mv)\\n break\\n \\n return moves\\n\\n \\n\\n # Calculate the minimum plan cost \\n #min_val = float(\\\"inf\\\")\\n #for one_plan in plan_stack:\\n # plan_cost = one_plan[1]\\n # if plan_cost < min_val:\\n # min_val = plan_cost\\n\\n ## Expand the nodes with minimum plan cost\\n #for one_plan in plan_stack:\\n # plan_cost = one_plan[1]\\n # if plan_cost == min_val:\\n # plan_step = one_plan[0] \\n # # Expand the last node of plan\\n # last_node = plan_step[end]\\n # for nxt_node in problem.getSuccessors(last_node):\\n\\n\\n\\n util.raiseNotDefined()\",\n \"def minMoves(maze, x, y):\\n\\n def maze_guard():\\n \\\"\\\"\\\"Guard function to block oversized dimensions\\\"\\\"\\\"\\n cell_guard = all([1 <= len(row) <= 100 for row in maze])\\n row_guard = 1 <= len(maze) <= 100\\n return cell_guard and row_guard\\n\\n def walk_maze(finish):\\n \\\"\\\"\\\"Walks the maze, finding the shortest path including all coins.\\n Finishes when reach the coordenate finish, a tuple with row and\\n column numbers\\n \\\"\\\"\\\"\\n i, j = (0, 0)\\n result = -1\\n weight = -1\\n while nodes:\\n i, j, path, coins = nodes.popleft()\\n cell = maze[i][j]\\n if (i, j) == finish:\\n weight, result = check_result(coins, path, weight, result)\\n elif cell != 1:\\n adjacent_nodes(i, j, path, coins)\\n\\n return result\\n\\n def adjacent_nodes(i, j, path, coins):\\n \\\"\\\"\\\"Adds the node in positions i, j, with its path added to\\n accumulated path. The path is transformed into a binary\\n number, i.e, 2 ** (i * n + j), being n the number of rows\\n in the maze matrix.\\n \\\"\\\"\\\"\\n def neighbour(x, y):\\n this_path = 2 ** (i * n + j)\\n if not this_path & path:\\n coin = coins + 1 if maze[i][j] == 2 else coins\\n nodes.append((x, y, path + this_path, coin))\\n\\n coord = [(i + 1, j, i + 1 < n), (i - 1, j, i - 1 >= 0),\\n (i, j + 1, j + 1 < m), (i, j - 1, j - 1 >= 0)]\\n _ = [neighbour(x, y) for x, y, test in coord if test]\\n\\n if not maze_guard():\\n return -1\\n\\n n = len(maze)\\n m = len(maze[0])\\n nodes = deque([(0, 0, 0, 0)])\\n return walk_maze((x, y))\",\n \"def _brute_force(self):\\n if self.N > 9:\\n #print(\\\"Input set is too big for brute force estimation.\\\")\\n self.best_path = None\\n else:\\n #print(\\\"Number of permutations to check: {}\\\".format(math.factorial(self.N)))\\n #init = \\n A = self._P + np.finfo(np.float).eps\\n A = (A + (1-A).T)/2\\n for i in range(A.shape[0]):\\n A[i,i] = np.finfo(np.float).eps\\n init = (A>0.5).sum(axis=1).argsort()[::-1]\\n #--- use log(p(Y=1\\\\mid s',s)) to shift multiplication to sum\\n lP = np.log(A)\\n for i in range(lP.shape[0]):\\n lP[i,i] = 0\\n #init_cost = 0\\n ##--- lP[x:x+1] está MAL hay que sumar respecto a i+1 en z, no en lP.\\n #for i in range(len(init)-1):\\n # init_cost += lP[init[i],init[i+1]:].sum()\\n z_star = []\\n z_cost = -np.inf\\n for z in permutations(range(self.N)):\\n cost = 0\\n for i in range(len(z)-1):\\n cost += lP[z[i],z[i+1:]].sum()\\n if cost > z_cost:\\n z_cost = cost\\n z_star = z\\n self.best_path = np.array(z_star)\",\n \"def solve(problem):\\n\\n # *** YOUR CODE HERE ***\\n\\n # The core of Iterative Deepening Search are iterations of Depth Limited\\n # Search with given increasing depth.\\n\\n # A recursive version of Depth Limited Search\\n def depth_limited_search(problem, limit):\\n \\\"\\\"\\\"\\n Return a list of nodes we traversed (or None).\\n :param problem: the starting set up.\\n :param limit: a given numeric depth limit.\\n :return: a list of nodes.\\n \\\"\\\"\\\"\\n\\n # in this case, we simply use a list to keep track of nodes we\\n # traversed, instead of the data structure, Stack.\\n path = list()\\n visited = set() # as before, to prevent duplicated nodes\\n root = problem.get_initial_state()\\n\\n def rec_dls(state, action, depth):\\n\\n visited.add(state)\\n\\n # if it is a goal\\n if problem.goal_test(state):\\n path.append((state, action))\\n return path\\n\\n # or if it reaches a certain depth, but not a goal\\n elif depth == 0:\\n visited.remove(state)\\n return None\\n\\n else:\\n path.append([state, action])\\n for successor, action, cost in problem.get_successors(state):\\n if successor not in visited:\\n # recursively expands the deepest node\\n res = rec_dls(successor, action, depth-1)\\n if res is not None:\\n return res\\n path.pop()\\n visited.remove(state)\\n\\n # \\\"Stared From the Bottom\\\" (root)\\n result = rec_dls(root, 'None', limit)\\n # return the path if the we DID have achieved something\\n if result is not None:\\n return path\\n\\n import sys\\n for depth in range(sys.maxsize): # depth from 0 to infinity\\n print(\\\"Lower-bound of the optimal cost is {}\\\".format(depth))\\n res2 = depth_limited_search(problem, depth)\\n if res2 is not None:\\n action_list = list()\\n for move in res2:\\n action_list.append(move[1]) # recall index 0 is the parent\\n # do not forget a None returned in iteration 0 (with depth 0)\\n action_list.remove('None')\\n return action_list\",\n \"def floyd_fill(methods=0):\\n\\n # Set each node's tentative distance to other nodes to a value\\n # greater than the greatest possible distance.\\n # On Game Boy, the greatest possible distance is log2(sizeof_actor)*2.\\n bestdist = [\\n bytearray(0 if i == j else 0xFF for j in range(sizeof_actor))\\n for i in range(sizeof_actor)\\n ]\\n # The ID of the first step through which the bestdist is reached.\\n bestnode = [\\n bytearray(i if i != j else 0xFF for j in range(sizeof_actor))\\n for i in range(sizeof_actor)\\n ]\\n\\n # distance to all neighbors\\n for i in range(sizeof_actor):\\n for j, d in neighbors(i, methods).items():\\n bestnode[i][j], bestdist[i][j] = j, d\\n\\n for j in range(sizeof_actor):\\n for i in range(sizeof_actor):\\n if i == j: continue\\n dij, nij = bestdist[i][j], bestnode[i][j]\\n if dij == 0xFF: continue\\n for k, djk in enumerate(bestdist[j]):\\n if i == k or j == k: continue\\n dik = bestdist[i][k]\\n dijk = dij + djk\\n # If the best distance to K is via J, mark it so\\n if dijk < dik:\\n bestdist[i][k], bestnode[i][k] = dijk, nij\\n return bestdist, bestnode\",\n \"def next_state_generation(state, target, operators):\\n current_swap_state = ''\\n current_swap_res = sys.maxsize\\n current_change_state = ''\\n current_change_res = sys.maxsize\\n # for swapping\\n for i in range(0, len(state), 2):\\n for j in range(2, len(state), 2):\\n new_swap_state, swap_res = swap(i, j, state, target)\\n if current_swap_res > swap_res:\\n current_swap_res = swap_res\\n current_swap_state = new_swap_state\\n # for changing\\n for i in range(1, len(state) - 1, 2):\\n new_change_state, change_res = change(i, random.choice(operators), state, target)\\n if current_change_res > change_res:\\n current_change_res = change_res\\n current_change_state = new_change_state\\n # return the lowest of the 2 value and state amongst swapping and changing operations\\n print(\\\"Swap res:\\\", current_swap_res)\\n print(\\\"Change res:\\\", current_change_res)\\n if current_swap_res < current_change_res:\\n print(\\\"Best State \\\", current_swap_state)\\n print(\\\"Distance from target: \\\", current_swap_res)\\n print()\\n return current_swap_state, current_swap_res\\n else:\\n print(\\\"Best State \\\", current_change_state)\\n print(\\\"Distance from target: \\\", current_change_res)\\n print()\\n return current_change_state, current_change_res\",\n \"def main():\\n\\n N, k = map(int, sys.stdin.readline().split())\\n initial_state = tuple( map(int, sys.stdin.readline().split()) )\\n final_state = tuple( map(int, sys.stdin.readline().split()) )\\n\\n init_path = [initial_state]\\n all_paths = [init_path]\\n\\n visited_states = set()\\n visited_states.add(initial_state)\\n\\n while all_paths:\\n popped_path = all_paths.pop(0)\\n current_state = popped_path[-1]\\n\\n if current_state == final_state:\\n solution = popped_path\\n break\\n\\n for state, action in generate_moves(current_state, N, k).items():\\n if state not in visited_states:\\n visited_states.add(state)\\n new_path = popped_path + [action,state]\\n all_paths.append(new_path)\\n\\n display_solution(solution)\",\n \"def fn(i, j, mv):\\n if not (0 <= i < m and 0 <= j < n): return 1 \\n if mv == 0: return 0\\n return (fn(i-1, j, mv-1) + fn(i, j-1, mv-1) + fn(i, j+1, mv-1) + fn(i+1, j, mv-1)) % 1_000_000_007\",\n \"def modinverse(a: int, m: int) -> int:\\n if SHOW_WORKING: print(f\\\"modinverse(a, m) = modinverse({a}, {m})\\\")\\n if SHOW_WORKING: print(f\\\"\\\\tWe want to find some x & y such that {a} * x + {m} * y = 1\\\")\\n\\n if a < 0 or m <= 0:\\n raise ValueError(\\\"a must be non-negative and m must be positive\\\")\\n\\n if SHOW_WORKING: print(f\\\"Find gcd(a, b) = gcd({a}, {m})\\\")\\n if m > a:\\n if SHOW_WORKING: print(f\\\"\\\\tb > a. Set r1[0] := m = {m} and r2[0] := a = {a} so that r1[0] > r2[0\\\")\\n r1s, r2s = [m], [a]\\n else:\\n if SHOW_WORKING: print(f\\\"\\\\ta >= b. Set r1[0] := a = {a} and r2[0] := m = {m} so that r1[0] >= r2[0]\\\")\\n r1s, r2s = [a], [m] \\n\\n if SHOW_WORKING: print(f\\\"\\\\tProceeding with algorithm until r2 hits 0. gcd({a}, {m}) will be the ending r1 value:\\\")\\n qs = []\\n i = 0\\n while r2s[-1] != 0:\\n i += 1\\n\\n if SHOW_WORKING: print(f\\\"\\\\t\\\\tSet q[{i - 1}] := floor(r1[{i - 1}] / r2[{i - 1}]) = floor({r1s[i - 1]} / {r2s[i - 1]}) = floor({round(r1s[i - 1] / r2s[i - 1], 2)}) = {r1s[i - 1] // r2s[i - 1]}\\\")\\n qs.append(r1s[i - 1] // r2s[i - 1])\\n\\n if SHOW_WORKING: print(f\\\"\\\\t\\\\tSet (r1[{i}], r2[{i}]) := (r2[{i - 1}], r1[{i - 1}] - r2[{i - 1}] * q[{i - 1}]) = ({r2s[i - 1]}, {r1s[i - 1]} - {r2s[i - 1]} * {qs[i - 1]}) = ({r2s[i - 1]}, {r1s[i - 1] - r2s[i - 1] * qs[i - 1]})\\\")\\n r1, r2 = r2s[i - 1], r1s[i - 1] - r2s[i - 1] * qs[i - 1]\\n r1s.append(r1)\\n r2s.append(r2)\\n\\n if SHOW_WORKING: print(\\\"\\\\t\\\\t -\\\")\\n \\n if SHOW_WORKING: print(f\\\"\\\\tStopping condition hit (r2[{i}] = 0). Result of gcd({a}, {m}) is r1[{i}] = {r1s[-1]}\\\")\\n\\n if r1s[-1] != 1:\\n if SHOW_WORKING: print(f\\\"\\\\t{a} has no inverse modulo {m} because gcd({a}, {m}) = {r1s[-1]} != 1 (they must be coprime)\\\")\\n return None\\n\\n if SHOW_WORKING: print(f\\\"\\\\n\\\\tBegin working backwards:\\\")\\n\\n def getnestedexpressionstr(leftstr: str, nestedr1r2q: List[Union[int, List[int]]], rightstr: str) -> str:\\n if SHOW_WORKING: print(f\\\"\\\\t\\\\tgetnestedexpressionstr('{leftstr}', {nestedr1r2q}, '{rightstr}')\\\")\\n r1: int = nestedr1r2q[0]\\n r2: Union[int, List[int]] = nestedr1r2q[1]\\n q: int = nestedr1r2q[2]\\n if SHOW_WORKING: print(f\\\"\\\\t\\\\t\\\\tr1 = {r1}, r2 = {r2}, q = {q}\\\")\\n\\n if isinstance(r2, int):\\n return f\\\"{leftstr}{r1} - {r2} * {q}{rightstr}\\\"\\n \\n if leftstr == rightstr == '':\\n return getnestedexpressionstr(f\\\"{r1} - (\\\", r2, f\\\") * {q}\\\")\\n\\n return getnestedexpressionstr(f\\\"{leftstr}{r1} - (\\\", r2, f\\\") * {q}{rightstr}\\\")\\n\\n def backtrack(index: int, nestedr1r2q: List[Union[int, List[int]]]) -> List[Union[int, List[int]]]:\\n \\\"\\\"\\\"Provided an index and an ordered list representing the r1, r2, and q values of the equation\\n r1 - r2 * q, this function returns another list where r2 has been broken down to the parts of \\n its equation on the previous indexed equation, e.g. if the 3rd and 4th equations from the GCD \\n algorithm are:\\n (3): r1 - r2 * q2 = 4 - 4 * 1\\n (4): r1 - r2 * q2 = 3 - 1 * 3\\n then: \\n backtrack(4, [3, 1, 3]) -> [3, [4, 3, 1], 3].\\n \\n This also works when the middle element of the list (the r2 element) is given as a list of parts,\\n e.g., if we follow the previous example where additionally equation 2 is:\\n (2): r1 - r2 * q2 = 11 - 4 * 2\\n then:\\n backtrack(3, [3, [4, 3, 1], 3]) -> [3, [4, [11, 4, 2], 1], 3].\\\"\\\"\\\"\\n \\n if SHOW_WORKING: print(f\\\"\\\\t\\\\tbacktrack({index}, {nestedr1r2q})\\\")\\n\\n if index <= 0:\\n raise ValueError(\\\"Can't backtrack from here, please supply a positive index\\\")\\n \\n r1: int = nestedr1r2q[0]\\n r2: Union[int, List[int]] = nestedr1r2q[1]\\n q: int = nestedr1r2q[2]\\n\\n if index == 1:\\n return [r1, [r1s[0], r2s[0], qs[0]], q]\\n\\n return [r1, backtrack(index - 1, [r1s[index - 1], r2s[index - 1], qs[index - 1]]), q]\\n\\n if i - 2 > 0:\\n expression = backtrack(i - 2, [r1s[i - 2], r2s[i - 2], qs[i - 2]])\\n\\n nestedexpressionstr: str = getnestedexpressionstr('', expression, '')\\n nestedexpressionstr = nestedexpressionstr.replace(str(a), 'a').replace(str(m), 'm')\\n\\n if SHOW_WORKING: print(f\\\"\\\\t\\\\t{nestedexpressionstr}\\\")\\n if SHOW_WORKING: print(f\\\"\\\\t\\\\t{sympy.simplify(nestedexpressionstr)}\\\")\\n\\n x, y = sympy.core.numbers.igcdex(a, m)[:2]\\n if SHOW_WORKING: print(f\\\"\\\\ta * x + m * y = 1 -> {a} * {x} + {m} * {y} = 1\\\")\\n\\n if SHOW_WORKING: print(f\\\"\\\\tmodinverse({a}, {m}) = {x}\\\\t(mod {m}) = {x % m}\\\")\\n \\n return x % m\",\n \"def foodHeuristic(state, problem):\\n import itertools\\n\\n\\n\\n def manhattan(startPosition, targetPosition):\\n xy1 = startPosition\\n xy2 = targetPosition\\n return abs(xy1[0] - xy2[0]) + abs(xy1[1] - xy2[1])\\n\\n position, foodGrid = state\\n\\n return len(foodGrid.asList())\\n #\\n # \\\"\\\"\\\"\\n # The below algorithm is from:\\n # https://stackoverflow.com/questions/9994913/pacman-what-kinds-of-heuristics-are-mainly-used\\n #\\n # Find real/manhattan distance between two currently furthest fruits in labyrinth - let's call that x.\\n # Find real/manhattan distance from current Pacman position to the closer of previous two fruits - let's call that y.\\n # Then, answer is just: x + y.\\n # The interpretation of this x + y formula could be something like this:\\n #\\n # x - either way, you will have to travel this distance, at least at the end\\n # y - while you are at the some of the two furthest fruits, it's better to collect\\n # the food that is near to it so you don't have to go back\\n # \\\"\\\"\\\"\\n # maxFoodPairDistance = 0\\n #\\n # if len(foodGrid.asList()) >= 2:\\n #\\n # #calculate manhattan/real distance between each pair of food (all permutations in foodGrid) and find the maximum of them, and\\n # #store the pair with max distance in maxFoodPair\\n # for foodPair in itertools.permutations(foodGrid.asList(),2):\\n # #foodPairDistance = mazeDistance(foodPair[0], foodPair[1], problem.startingGameState)\\n # foodPairDistance = manhattan(foodPair[0], foodPair[1])\\n # if foodPairDistance >= maxFoodPairDistance:\\n # maxFoodPairDistance = foodPairDistance\\n # maxFoodPair = foodPair\\n #\\n # #get the real distance between pacman and nearest food among the max distance food pair we get above. Using real distance instead\\n # #of manhattan distance here just to \\\"reduce\\\" the number of nodes expand to get additional point. But that's a bit of a cheating\\n # #because the mazeDistance function use of breadth First search - which itself is a search with nodes expansion not counted here\\n # #minPacmanToFoodDistance = min([mazeDistance(position, foodPosition, problem.startingGameState) for foodPosition in maxFoodPair])\\n # minPacmanToFoodDistance = min([manhattan(position, foodPosition) for foodPosition in maxFoodPair])\\n #\\n # #When only one food left, just return the real distance between pacman and food\\n # elif len(foodGrid.asList()) == 1:\\n # foodPosition = foodGrid.asList()[0]\\n # #minPacmanToFoodDistance = mazeDistance(position, foodPosition, problem.startingGameState)\\n # minPacmanToFoodDistance = manhattan(position, foodPosition)\\n # else:\\n # minPacmanToFoodDistance = 0\\n #\\n # return minPacmanToFoodDistance + maxFoodPairDistance\",\n \"def bi_dijkstra(graph, source1, source2):\\n\\n graph_up, graph_down, H_up, H_down = framework(graph, source1, source2)\\n\\n found_source2_after = [np.Inf, None]\\n found_source1_after = [np.Inf, None]\\n min_down = None\\n while not H_up.is_empty() or H_down.is_empty():\\n\\n min_up = H_up.remove_min()\\n\\n # if newly extracted node from H_up is equal to destination,end process,\\n # taking into account also previously stored distances and nodes of the \\n # destination found in some adjacent lists\\n if min_up == graph.Dictionary[source2]:\\n\\n return one_way_path(min_up, min_up.distance, found_source2_after, found_source1_after)\\n \\n for passage, vertice, weight in min_up.adj_list:\\n\\n bi_relax(H_up, min_up, graph_up.Dictionary[vertice], weight, passage, graph_up)\\n \\n # if destination is in the adjacent list, take that into account storing distance and node\\n if vertice == source2:\\n found_source2_after = [graph_up.Dictionary[vertice].distance, copy.deepcopy(graph_up.Dictionary[vertice])]\\n\\n if min_down is not None:\\n # if the newly extracted node from H_up is equal to the previously extracted node in H_down, end process\\n # taking into account also previously stored distances and nodes of the destination found in some adjacent lists\\n if min_up == min_down:\\n\\n return path(min_up, min_down, min_up.distance + min_down.distance, found_source2_after, found_source1_after)\\n\\n min_down = H_down.remove_min()\\n\\n # if newly extracted node from H_down is equal to destination, end process\\n # taking into account also previously stored distances and nodes of the \\n # destination found in some adjacent lists\\n if min_down == graph.Dictionary[source1]:\\n\\n return one_way_path(min_down, min_down.distance, found_source2_after, found_source1_after)\\n \\n for passage, vertice, weight in min_down.ancestors:\\n\\n bi_relax(H_down, min_down, graph_down.Dictionary[vertice], weight, passage, graph_down)\\n \\n # if destination is in the adjacent list, take that into account storing distance and node\\n if vertice == source1:\\n found_source1_after = [graph_down.Dictionary[vertice].distance, copy.deepcopy(graph_down.Dictionary[vertice])]\\n\\n # if the extracted nodes from H_up and H_down, end process taking into account also \\n # previously stored distances and nodes of the destination found in some adjacent lists\\n if min_up == min_down:\\n\\n return path(min_up, min_down, min_up.distance + min_down.distance, found_source2_after, found_source1_after)\",\n \"def breadthFirstSearch(problem):\\n from game import Directions\\n North = Directions.NORTH\\n South = Directions.SOUTH\\n East = Directions.EAST\\n West = Directions.WEST \\n \\n pathDict = {}\\n visited = set()\\n #visited start\\n visited.add(problem.getStartState())\\n #initial successors\\n successor = problem.getSuccessors(problem.getStartState())\\n for initSucc in successor:\\n pathDict[initSucc[0]] = [initSucc[1]]\\n #loop\\n while (1):\\n #if fringe = null, return failure\\n if (len(successor) == 0):\\n print \\\"Fringe is empty\\\"\\n return util.raiseNotDefined()\\n #(v, path) = fringe.pop\\n succLocation = successor[0][0]\\n succDirection = successor[0][1]\\n del successor[0]\\n #if isGoal = true, return path\\n if problem.isGoalState(succLocation):\\n return pathDict[succLocation]\\n #if visited = false\\n if succLocation not in visited:\\n #visited = true\\n visited.add(succLocation)\\n #L = expand(v,path)\\n tempSuccList = problem.getSuccessors(succLocation)\\n #Fringe <- L\\n for succ in tempSuccList:\\n repeat = False\\n for s in successor:\\n if (s[0] == succ[0]):\\n repeat = True\\n if (repeat == False):\\n successor.append(succ)\\n pathDict[succ[0]] = []\\n pathDict[succ[0]].extend(pathDict[succLocation])\\n pathDict[succ[0]].append(succ[1])\",\n \"def grid_traveller(m: int, n: int):\\n\\n if m == 1 and n == 1:\\n return 1\\n if m == 0 or n == 0:\\n return 0\\n return grid_traveller(m - 1, n) + grid_traveller(m, n - 1)\",\n \"def new_permutation(V,m,adj):\\r\\n\\r\\n global tent\\r\\n\\r\\n perm = V.copy()\\r\\n \\r\\n \\\"\\\"\\\" try to select two vertices to swipe wisely. \\\"\\\"\\\"\\r\\n \\r\\n #we select 1 vertex among the m first vertices\\r\\n p1 = randint(0,m-1)\\r\\n \\r\\n #we select 1 vertex among the vertices left\\r\\n p2 = randint(m,len(V)-1)\\r\\n\\r\\n def comp(p1,p2,adj,perm):\\r\\n \\\"\\\"\\\"\\r\\n retrieve the degree of the 2 vertices and\\r\\n compare the degree\\r\\n Args:\\r\\n p1 (int): index of the vertex\\r\\n p2 (int): index of the vertex\\r\\n adj (set): set of the edges\\r\\n perm (int): current permutation of the vertices\\r\\n\\r\\n Returns:\\r\\n bool: true if degree of p2 is higher than the one of p1 ,false otherwise\\r\\n \\\"\\\"\\\"\\r\\n #degree of p1\\r\\n f1 = 0\\r\\n #degree of p2\\r\\n f2 = 0\\r\\n \\r\\n #compute the degrees\\r\\n for i in range(m):\\r\\n if (V[p1],V[i]) in adj or (V[i],V[p1]) in adj:\\r\\n f1 += 1\\r\\n\\r\\n for i in range(m):\\r\\n if (V[p2],V[i]) in adj or (V[i],V[p2]) in adj:\\r\\n f2 += 1\\r\\n \\r\\n if f2 > f1:\\r\\n return True\\r\\n else:\\r\\n return False\\r\\n\\r\\n def check_prior(p1,p2,adj,perm,tent):\\r\\n \\\"\\\"\\\"\\r\\n recursive function which try to swipe the 2 vertices \\r\\n by comparing the degre of the vertexe.\\r\\n\\r\\n Args:\\r\\n p1 (int): index of the vertex\\r\\n p2 (int): index of the vertex\\r\\n d (set): set of the edges\\r\\n perm (set): new permutation\\r\\n tent (int): we fix the swipe process to tent try.\\r\\n\\r\\n Returns:\\r\\n int: the new neighbor aka permutation\\r\\n \\\"\\\"\\\"\\r\\n \\r\\n #if the degree of the node p2 is higher or if the try is over we swipe \\r\\n if comp(p1,p2,adj,perm) or tent == 0:\\r\\n temp = perm[p1]\\r\\n perm[p1] = perm[p2]\\r\\n perm[p2] = temp\\r\\n return perm\\r\\n \\r\\n tent -= 1\\r\\n \\r\\n #select a new vertex to swipe\\r\\n p2 = randint(m,len(V)-1)\\r\\n\\r\\n return check_prior(p1,p2,adj,perm,tent)\\r\\n \\r\\n return check_prior(p1,p2,adj,perm,tent)\",\n \"def A_star(initial_state, check_dict):\\r\\n \\r\\n print(\\\"Implementing A*...\\\")\\r\\n \\r\\n q = []\\r\\n heapq.heappush(q, (initial_state[0][2], initial_state))\\r\\n check_dict[str(initial_state[0][0])] = True # Mark the initial state as visited\\r\\n accomplished = False\\r\\n \\r\\n while len(q) != 0:\\r\\n path = heapq.heappop(q)[1]\\r\\n \\r\\n if is_goal(path[-1][0]):\\r\\n goal = path\\r\\n accomplished = True\\r\\n break\\r\\n \\r\\n state_container = next_possible_states(path, check_dict, False)\\r\\n for i in state_container:\\r\\n if not been_there(i[0], check_dict, True):\\r\\n temp = list(path)\\r\\n temp.append(i)\\r\\n heapq.heappush(q, (i[2], temp))\\r\\n \\r\\n if accomplished:\\r\\n print(\\\"Solved! Number of moves:\\\", len(goal) - 1)\\r\\n return goal, True\\r\\n else:\\r\\n print(\\\"Cannot be solved. Number of moves:\\\", len(path) - 1)\\r\\n return path, False\",\n \"def spotlessroomba_second_heuristic(state : SpotlessRoombaState) -> float:\\n # TODO a nontrivial consistent heuristic\\n \\n if not state.dirty_locations:\\n return 0\\n \\n best_start = 0 # best dirty tile to start from\\n best_cost = INF # cost of the path from the above start tile\\n\\n for i in range(len(state.dirty_locations)):\\n estimate_cost = 0\\n lowest_cost = INF\\n closest_dirty = 0\\n dirty_locations = list(state.dirty_locations)\\n current_pos = dirty_locations.pop(i)\\n\\n # find the shortest cost solution path from this starting tile\\n while dirty_locations:\\n for j in range(len(dirty_locations)):\\n manhattan = abs(current_pos.row - dirty_locations[j].row) + abs(current_pos.col - dirty_locations[j].col)\\n if manhattan < lowest_cost:\\n lowest_cost = manhattan\\n closest_dirty = j\\n estimate_cost += lowest_cost\\n current_pos = dirty_locations.pop(closest_dirty)\\n lowest_cost = INF\\n # if estimated path cost is cheaper than best path cost so far, replace best_cost and best_start\\n if estimate_cost < best_cost:\\n best_cost = estimate_cost\\n best_start = i\\n # if estimated path cost and best path cost so far are equal, tiebreak with proximity to start tile\\n if estimate_cost == best_cost:\\n current_pos = state.position\\n dist_to_prev_best = abs(current_pos.row - state.dirty_locations[best_start].row) + abs(current_pos.col - state.dirty_locations[best_start].col)\\n dist_to_i = abs(current_pos.row - state.dirty_locations[i].row) + abs(current_pos.col - state.dirty_locations[i].col)\\n if dist_to_i < dist_to_prev_best:\\n best_start = i\\n \\n\\n current_pos = state.position\\n # Calculate distance to the best start tile\\n dist_to_start = abs(current_pos.row - state.dirty_locations[best_start].row) + abs(current_pos.col - state.dirty_locations[best_start].col)\\n # Returned heuristic is the sum of distance to the start tile and estimated cost from said tile\\n return dist_to_start + best_cost\",\n \"def shortest_path(start, end):\\n\\n\\tmoves = rubik.quarter_twists\\n\\n\\t# Parent nodes: (Parent_State, move)\\n\\tstartParents = {}\\n\\tstartParents[start] = None # Start state has no parent\\n\\n\\t# Parent nodes: (Parent_State, move)\\n\\tendParents = {}\\n\\tendParents[end] = None # End state has no parent\\n\\n\\tstartFrontier = [] # Current frontier in start BFS\\n\\tendFrontier = [] # Current frontier in end BFS\\n\\n\\tstartFrontier.append(start) # Add start state as first and only node to generate next frontier\\n\\tendFrontier.append(end) # Add end state as first and only node to generate next frontier\\n\\n\\tif end in startParents:\\n\\t\\treturn [] # Start == End : No moves required\\n\\n\\t# We only have to search at most 14 levels in BFS\\n\\t# Two-way BFS therefore requires 7 concurrent levels from both states\\n\\tfor i in range(7):\\n\\n\\t\\tstartNextFrontier = [] # New empty set for new frontier to be discovered\\n\\t\\tfor state in startFrontier: # Iterate through each rubiks state in this frontier\\n\\t\\t\\tfor move in moves: # Apply each move to this state\\n\\t\\t\\t\\tnextState = rubik.perm_apply(move, state)\\n\\n\\t\\t\\t\\t# Makes sure this new state is not already in the Graph\\n\\t\\t\\t\\t# This skips nodes that were already permuted in another path,\\n\\t\\t\\t\\t# essentially trimming the Graph's leaves\\n\\t\\t\\t\\tif nextState not in startParents:\\n\\t\\t\\t\\t\\tstartParents[nextState] = (state, move) # Store this state's parent + move\\n\\t\\t\\t\\t\\tstartNextFrontier.append(nextState) # Create a node in the next frontier\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t# Intersect of both Graphs, Intermediate state of path found\\n\\t\\t\\t\\tif nextState in endParents:\\n\\t\\t\\t\\t\\treturn solution(startParents, endParents, nextState)\\n\\n\\t\\tstartFrontier = startNextFrontier # Make the next frontier the current one\\n\\n\\t\\tendNextFrontier = [] # New empty set for new frontier to be discovered\\n\\t\\tfor state in endFrontier: # Iterate through each rubiks state in this frontier\\n\\t\\t\\tfor move in moves: # Apply each move to this state\\n\\t\\t\\t\\tnextState = rubik.perm_apply(move, state)\\n\\n\\t\\t\\t\\t# Makes sure this new state is not already in the Graph\\n\\t\\t\\t\\t# This skips nodes that were already permuted in another path,\\n\\t\\t\\t\\t# essentially trimming the Graph's leaves\\n\\t\\t\\t\\tif nextState not in endParents:\\n\\t\\t\\t\\t\\tendParents[nextState] = (state, move) # Store this state's parent + move\\n\\t\\t\\t\\t\\tendNextFrontier.append(nextState) # Create a node in the next frontier\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t# Intersect of both Graphs, Intermediate state of path found\\n\\t\\t\\t\\tif nextState in startParents:\\n\\t\\t\\t\\t\\treturn solution(startParents, endParents, nextState)\\n\\n\\t\\tendFrontier = endNextFrontier # Make the next frontier the current one\\n\\n\\treturn None\",\n \"def reachable(maze: list, start: tuple, goal: tuple):\\n n = len(maze) # Get the dimension of the maze\\n\\n #========================================#\\n # Some data checking statements\\n\\n if (not is_valid(start, n)):\\n print(\\\"reachable: Start indices outside maze dimensions\\\")\\n return False\\n elif (not is_valid(goal, n)):\\n print(\\\"reachable: Goal indices outside maze dimensions\\\")\\n return False\\n\\n # End data checking statements\\n #========================================#\\n\\n # We can use a copy of the maze to keep track of visited squares (Considered using a set here, thought that time efficiency was important)\\n visited = copy.deepcopy(maze)\\n # visited = list(map(list, maze)) # Alternative to using copy.deepcopy\\n stack = [] # Define our stack of \\\"fringe\\\" squares\\n stack.append(start) # Push the start square onto our stack\\n visited[start[0]][start[1]] = 1 # Set our start to visited\\n\\n while (len(stack)): # While there exists items in the stack\\n current = stack.pop() # Pop the last element\\n\\n if (current == goal):\\n return True # If current is the goal, we found it!\\n\\n current_i, current_j = current # Unpack the current pair\\n\\n # Now we want to add all unvisited squares that are possible to get to from the current square\\n for i in range(len(nearby_offsets)):\\n offset_i, offset_j = nearby_offsets[i]\\n possible = (current_i + offset_i, current_j + offset_j)\\n # print(f\\\"Current possible: {possible_i} {possible_j}\\\") # DEBUG\\n if (is_valid(possible, n)): # If the calculated square is within the maze matrix\\n if (not visited[possible[0]][possible[1]]):\\n stack.append(possible)\\n visited[possible[0]][possible[1]] = 1\\n return False # If the while loop goes out, and the stack is empty, then there is no possible path\",\n \"def fn(i):\\n if i == 2*n-1 or ans[i] and fn(i+1): return True \\n for x in reversed(range(1, n+1)): \\n if x not in ans: \\n ii = x if x > 1 else 0 \\n if i+ii < 2*n-1 and ans[i] == ans[i+ii] == 0: \\n ans[i] = ans[i+ii] = x\\n if fn(i+1): return True \\n ans[i] = ans[i+ii] = 0\",\n \"def recursive_minimax_strategy(game: Any) -> Any:\\n lista = []\\n if game.current_state.p1_turn:\\n for i in game.current_state.get_possible_moves():\\n game2 = copy.deepcopy(game)\\n new_state = game2.current_state.make_move(i)\\n game2.current_state = new_state\\n lista.append(recursive1(game2, []))\\n\\n else:\\n for i in game.current_state.get_possible_moves():\\n game2 = copy.deepcopy(game)\\n new_state = game2.current_state.make_move(i)\\n game2.current_state = new_state\\n lista.append(recursive2(game2, []))\\n\\n if 1 in lista:\\n return game.current_state.get_possible_moves()[lista.index(1)]\\n return game.current_state.get_possible_moves()[0]\",\n \"def solve(board):\\r\\n \\r\\n #An O(2mn) time solution; the first O(mn) traversal is to preform a bfs on all tiles attached to edge 'O' tiles (can't convert to 'X's); the second is to convert all remaining 'O's into 'X's\\r\\n \\r\\n def bfs(curr,r,c):\\r\\n if not curr: return\\r\\n prev = len(curr)\\r\\n for n in range(0,prev):\\r\\n i,j = curr[n][0],curr[n][1]\\r\\n board[i][j] = 'A'\\r\\n for x,y in [(-1, 0), (0, -1), (1, 0), (0, 1)]:\\r\\n x_n = i+x\\r\\n y_n = j+y\\r\\n if x_n >= 0 and x_n < r and y_n >= 0 and y_n < c and board[x_n][y_n] == \\\"O\\\":\\r\\n curr += [(x_n,y_n)]\\r\\n bfs(curr[prev:],r,c)\\r\\n\\r\\n \\r\\n q,r,c = [],len(board),len(board[0])\\r\\n if not r or q: return\\r\\n\\r\\n for i in range(r):\\r\\n for j in range(c):\\r\\n if (i==0 or j==0 or i==r-1 or j==c-1) and board[i][j] == \\\"O\\\":\\r\\n q += [(i,j)]\\r\\n \\r\\n bfs(q,r,c)\\r\\n\\r\\n for i in range(r):\\r\\n for j in range(c): \\r\\n if board[i][j] == \\\"O\\\": \\r\\n board[i][j] = \\\"X\\\"\\r\\n elif board[i][j] == \\\"A\\\":\\r\\n board[i][j] = \\\"O\\\"\\r\\n \\r\\n return\",\n \"def fill_gap_2_0(R):\\n suitable_positions = [[], [], [], [], []] # stores all suitable positions for pieces respectively\\n for row_idx in range(8):\\n for col_idx in range(8):\\n if single_pos_no_conflict_check((row_idx, col_idx), R): # iterate all vacant positions\\n if single_move_feasible_q(pos0[0], (row_idx, col_idx)) \\\\\\n and single_move_feasible_q((row_idx, col_idx), R[1][0]):\\n suitable_positions[0].append((row_idx, col_idx))\\n if single_move_feasible_k(pos0[1], (row_idx, col_idx)) \\\\\\n and single_move_feasible_k((row_idx, col_idx), R[1][1]):\\n suitable_positions[1].append((row_idx, col_idx))\\n if single_move_feasible_r(pos0[2], (row_idx, col_idx)) \\\\\\n and single_move_feasible_r((row_idx, col_idx), R[1][2]):\\n suitable_positions[2].append((row_idx, col_idx))\\n if single_move_feasible_n(pos0[3], (row_idx, col_idx)) \\\\\\n and single_move_feasible_n((row_idx, col_idx), R[1][3]):\\n suitable_positions[3].append((row_idx, col_idx))\\n if single_move_feasible_b(pos0[4], (row_idx, col_idx)) \\\\\\n and single_move_feasible_b((row_idx, col_idx), R[1][4]):\\n suitable_positions[4].append((row_idx, col_idx))\\n if [] in suitable_positions:\\n return []\\n\\n result_list = []\\n for pos1 in itertools.product(*suitable_positions): # iterate all combinations\\n if len(set(pos1)) == 5: # eliminate those different pieces with the same position\\n tmp = copy.deepcopy(R)\\n tmp[0] = pos1\\n result_list.append(tmp)\\n return result_list\",\n \"def mc_problem(start=(3,3,1,0,0,0),goal=None):\\n if goal is None:\\n def goal_fn(state): return state[:3] == (0,0,0) \\n else:\\n def goal_fn(state): return state == goal\\n return shortest_path_search(start,csuccessors,goal_fn)\",\n \"def solve(k=[]):\\n if len(k) < 2:\\n return 1\\n min_jumps = len(k)\\n for i in reversed(range(k[0])):\\n if i > len(k):\\n return 1\\n if k[i] != 0:\\n sub_jumps = solve(k[i + 1 :])\\n min_jumps = min(min_jumps, sub_jumps)\\n return min_jumps\",\n \"def ideal_fanin(k, m):\\n fanin = 0\\n needed = k\\n for select in range(3, m + 1, 2):\\n combinations = list(itertools.combinations(range(m), select))\\n if len(combinations) <= needed:\\n fanin += int(math.ceil(float(len(combinations) * select) / m))\\n needed -= len(combinations)\\n else:\\n fanin += int(math.ceil(float(needed * select) / m))\\n needed = 0\\n if not needed:\\n break\\n return fanin\",\n \"def bfs(self, queue, target, targetx,\\n targety): # finds BFS path to the finish. if there is no path, will return nothing\\n\\n '''\\n 1. So we have a parent matrix\\n 2. This records the parent\\n 3. We have a dictionary of cell: parents'''\\n if self.map1[queue[0][0]][queue[0][1]] == target:\\n return [1]\\n\\n thisset = {queue[0]}\\n traceSet = {queue[0]: None}\\n\\n flag = False # variable to see if it is possible to reach the goal\\n while queue:\\n fringe = queue.pop(0) # gets 0, 0 first\\n adjs = self.getAdj(fringe[0], fringe[1])\\n\\n if self.map1[fringe[0]][fringe[1]] == 2:\\n print(\\\"Our attempt has started\\\")\\n\\n if self.map1[fringe[0]][fringe[1]] == target:\\n print(\\\"Goal reached\\\")\\n print(\\\"This is how you go about it\\\")\\n # print(traceSet)\\n ans = self.trace(traceSet, targetx, targety)\\n path = self.savePath(ans)\\n flag = True\\n # print(ans.pop())\\n break\\n\\n if self.map1[fringe[0]][fringe[1]] == 0 or self.map1[fringe[0]][fringe[1]] == 3 or self.map1[fringe[0]][fringe[1]] == 4:\\n continue\\n\\n for i in range(len(adjs)):\\n if self.legal(adjs[i][0], adjs[i][1]):\\n if adjs[i] in thisset:\\n continue\\n\\n thisset.add(adjs[i])\\n traceSet[adjs[i]] = fringe\\n queue.append(adjs[i])\\n if flag is False:\\n print(\\\"No way to goal\\\")\\n return []\\n return path\",\n \"def find():\\n b = 0\\n q = 0\\n while b == q:\\n seq = [randint(-10, 10) for _ in range(randint(15, 30))]\\n b, b_at = brute_force(seq)\\n q = solution(seq)\\n print(seq, b, q, b_at)\",\n \"def sol(n, mem):\\n if mem[n] != -1:\\n return mem[n]\\n \\n mem[n] = 0\\n for i in range(2, n+1):\\n mem[n]+=sol(n-i, mem)*sol(i-2, mem)\\n \\n return mem[n]\",\n \"def bfs(game, game_coords):\\n # *** main queue to record steps and corresponding costs ***\\n queue_moves = [[game.player.row, game.player.col]]\\n cost_moves = [0]\\n\\n # record cost and illegal moves\\n cost = 1\\n declined_moves = []\\n\\n # record the moves in the previous turn(iteration)\\n last_steps = [[game.player.row, game.player.col]]\\n\\n # ***** Step 1: Marking game board using cost *****\\n while True:\\n\\n # struggled in a location, loss\\n if not last_steps:\\n return 0, 0, 0\\n\\n # collect all potential moves: left, down, right, up, teleport(if possible)\\n potential_steps = []\\n for step in last_steps:\\n potential_steps.append(left(step))\\n potential_steps.append(down(step))\\n potential_steps.append(right(step))\\n potential_steps.append(up(step))\\n\\n if search_coords(game_coords, step) in ['1', '2', '3', '4', '5', '6', '7', '8', '9']:\\n potential_steps.append(step)\\n\\n current_steps = []\\n for step in potential_steps:\\n if step in declined_moves:\\n continue\\n elif step in queue_moves:\\n # the step existed in main queue, replace it if cost is lower, otherwise skip\\n if cost >= cost_moves[queue_moves.index(step)]:\\n if step != queue_moves[-1]:\\n continue\\n\\n # check if move is legal\\n will_move = step\\n item = search_coords(game_coords, will_move)\\n\\n if item == '*' or item == -1:\\n declined_moves.append(will_move)\\n continue\\n\\n elif item == 'W':\\n game.player.num_water_buckets += 1\\n\\n for i in range(len(game_coords['W'])):\\n # water picked up, set current display from 'W' to ' ' in game_coords\\n if game_coords['W'][i] == will_move:\\n game_coords['W'].pop(i)\\n game_coords[' '].append(will_move)\\n break\\n\\n elif item == 'F':\\n if game.player.num_water_buckets < 1:\\n # cannot put out fire, refuse this move :(\\n declined_moves.append(will_move)\\n continue\\n\\n game.player.num_water_buckets -= 1\\n elif item in ['1', '2', '3', '4', '5', '6', '7', '8', '9']:\\n for coords in game_coords[item]:\\n if coords != will_move:\\n will_move = coords\\n break\\n\\n current_steps.append(will_move)\\n\\n # append to main queue\\n queue_moves.append(will_move)\\n cost_moves.append(cost)\\n\\n cost += 1\\n\\n # reach end point\\n if game_coords['Y'][0] in current_steps:\\n break\\n\\n # last_steps <- current_steps\\n last_steps = []\\n last_steps.extend(current_steps)\\n\\n cost -= 1\\n\\n # ***** Step 2: recall through main queue to generate a path *****\\n # *** Queue: last in first out ***\\n recall_moves = queue_moves[::-1]\\n recall_cost = cost_moves[::-1]\\n cursor = recall_moves[0]\\n\\n # generated path\\n route = []\\n\\n # 'action to cmd' translator\\n action_map = {(1, 0): 'w', (-1, 0): 's', (0, 1): 'a', (0, -1): 'd'}\\n\\n for i in range(len(recall_moves)):\\n if recall_cost[i] == cost - 1:\\n x, y = coords_sub(recall_moves[i], cursor)\\n\\n # simple move: left, down, right, up\\n if abs(x) + abs(y) == 1:\\n cursor = recall_moves[i]\\n cost -= 1\\n route.insert(0, action_map[(x, y)])\\n\\n # teleport move\\n elif teleport_pair(cursor, game_coords) != -1:\\n pair = teleport_pair(cursor, game_coords)\\n x, y = coords_sub(recall_moves[i], pair)\\n\\n # teleport after simple move\\n if abs(x) + abs(y) == 1:\\n cursor = recall_moves[i]\\n cost -= 1\\n route.insert(0, action_map[(x, y)])\\n\\n # teleport after no move ('e')\\n elif abs(x) + abs(y) == 0:\\n cursor = recall_moves[i]\\n cost -= 1\\n route.insert(0, 'e')\\n\\n # convert list of paths to string\\n trace = ''\\n for action in route:\\n trace += action + ', '\\n\\n return 1, cost_moves[-1], trace\",\n \"def constraint_not_adjacent(m, n) :\\n return not constraint_adjacent(m,n)\",\n \"def test_heuristic_first_steps(self):\\n graph = {n: set(self.deterministic_graph[n]) - set([n])\\n for n in self.deterministic_graph}\\n deg_heuristic = MinDegreeHeuristic(graph)\\n elim_node = deg_heuristic.best_node(graph)\\n print(\\\"Graph {}:\\\".format(graph))\\n steps = []\\n\\n while elim_node is not None:\\n print(\\\"Removing {}:\\\".format(elim_node))\\n steps.append(elim_node)\\n nbrs = graph[elim_node]\\n\\n for u, v in itertools.permutations(nbrs, 2):\\n if v not in graph[u]:\\n graph[u].add(v)\\n\\n for u in graph:\\n if elim_node in graph[u]:\\n graph[u].remove(elim_node)\\n\\n del graph[elim_node]\\n print(\\\"Graph {}:\\\".format(graph))\\n elim_node = deg_heuristic.best_node(graph)\\n\\n # check only the first 5 elements for equality\\n assert_equals(steps[:5], [0, 1, 2, 3, 4])\",\n \"def move_feasible(cur_pos, nxt_pos):\\n return single_move_feasible_q(cur_pos[0], nxt_pos[0]) and single_move_feasible_k(cur_pos[1], nxt_pos[1]) \\\\\\n and single_move_feasible_r(cur_pos[2], nxt_pos[2]) and single_move_feasible_n(cur_pos[3], nxt_pos[3]) \\\\\\n and single_move_feasible_b(cur_pos[4], nxt_pos[4])\",\n \"def uninformed_search(start, end, graph):\\n\\n class SearchNode():\\n def __init__(self, step_cost, name, predecessor):\\n self.path_cost = predecessor.path_cost + step_cost if predecessor is not None else 0\\n self.step_cost = step_cost\\n self.name = name\\n self.predecessor = predecessor\\n def __repr__(self):\\n return self.predecessor.name + \\\"->\\\" + self.name + \\\"=\\\" + self.path_cost\\n\\n class Problem():\\n def __init__(self, start, end, graph, goal_predicate):\\n self.start = start\\n self.end = end\\n self.graph = graph\\n self.is_goal = goal_predicate\\n self.visited_nodes = []\\n\\n nodes_expanded = 0\\n nodes_generated = 0\\n max_nodes_in_memory = 0\\n\\n def tree_search(problem, fringe):\\n nonlocal nodes_generated\\n nonlocal nodes_expanded\\n nonlocal max_nodes_in_memory\\n\\n # create the initial node\\n nodes_generated = 1\\n fringe = [SearchNode(0, problem.start, None)]\\n\\n while len(fringe) > 0:\\n # keep track of some metrics\\n max_nodes_in_memory = max(max_nodes_in_memory, len(fringe))\\n nodes_expanded += 1\\n\\n node = fringe.pop(0)\\n while node.name in problem.visited_nodes:\\n # ran out of nodes in the fringe\\n if len(fringe) == 0:\\n return None\\n\\n node = fringe.pop(0)\\n\\n if problem.is_goal(node):\\n return node\\n \\n # make sure we never visit this node again, since we'll be expanding it\\n problem.visited_nodes.append(node.name)\\n\\n # keep the fringe sorted by the path cost\\n fringe.extend(expand(node, problem))\\n fringe = sorted(\\n fringe, \\n key=lambda node: node.path_cost\\n )\\n\\n return None\\n\\n def expand(node, problem):\\n nonlocal nodes_generated\\n nodes = []\\n for edge in problem.graph.edges(node.name):\\n nodes.append(SearchNode(edge.weight, edge.destination, node))\\n \\n nodes_generated += len(nodes)\\n return nodes\\n\\n initial_problem = Problem(start, end, graph, lambda x: x.name == end)\\n result = tree_search(initial_problem, [])\\n\\n # convert the resulting nested structure into an actual path of (start, end, cost)\\n def walk(node):\\n pred = node.predecessor\\n if pred is None:\\n return []\\n \\n path = walk(pred)\\n path.append((pred.name, node.name, node.step_cost))\\n return path\\n\\n path = walk(result) if result is not None else None\\n return (path, nodes_expanded, nodes_generated, max_nodes_in_memory)\",\n \"def greedy_MAP_assignment(theta,random_runs = 10,heur = 'first'):\\r\\n N = theta.shape[0]\\r\\n scipy.random.seed()\\r\\n max_p = -scipy.inf\\r\\n for k in range(random_runs):\\r\\n A = scipy.random.randint(2,size = N)\\r\\n improved = True\\r\\n p = A.dot( theta.dot(A) )\\r\\n while improved:\\r\\n improved = False\\r\\n if heur == 'first':\\r\\n p2 = -scipy.inf\\r\\n perm = scipy.random.permutation(N)\\r\\n for s in perm:\\r\\n #dp: change in p if A[i] bit is reversed\\r\\n dp = (1-2*A[s])*( A.dot(theta[s,:]+ theta[:,s]) ) + theta[s,s]\\r\\n if dp>0:\\r\\n p2 = dp\\r\\n break\\r\\n\\r\\n if heur == 'best':\\r\\n dp = (1-2*A)*( A.dot(theta + theta.T) ) + scipy.diag(theta)\\r\\n p2,s = dp.max(), dp.argmax()\\r\\n if p2 > 0:\\r\\n A[s] = 1-A[s]\\r\\n improved = True\\r\\n p += p2\\r\\n if p>max_p:\\r\\n greedy_A,max_p = A.copy(),p\\r\\n return greedy_A.astype(int),max_p\",\n \"def problem_086(limit,verbose):\\n\\n # Three routes:\\n # *------F Sides labeled A, B, C, routes clockwise from S\\n # | /| R1^2 = (A + C)^2 + B^2\\n # | / n R2^2 = (B + C)^2 + A^2\\n # +-----+------+-----F R3^2 = (A + B)^2 + C^2\\n # | | / | . `|\\n # | A / .|` / |\\n # | |/. ` a-n / |\\n # +-C---S-b-B--+-----+\\n # | ` . |\\n # | `|\\n # *------+\\n # | |\\n # | |\\n # | |\\n # +------F\\n \\n # Genreate all triples up to perimeter 3M + sqrt((M + M)^2 + M^2)\\n # Which is is 3M + sqrt(5M^2)\\n\\n total_found = 0\\n cuboids = defaultdict(set)\\n triples = set()\\n under_length = []\\n \\n for batch in count():\\n size = (batch + 1) * 500\\n max_triple_perimeter = int(3 * size + sqrt(5 * size**2)) + 1\\n all_triples = set(generate_triples(max_triple_perimeter))\\n this_loop = all_triples - triples\\n triples = all_triples\\n \\n with click.progressbar(this_loop, label=\\\"{}\\\".format(total_found)) as bar:\\n new_cuboids = (c for t in bar for c in generate_cuboids(t))\\n new_cuboids = (c for c in new_cuboids if c.a > 0)\\n new_cuboids = (c for c in new_cuboids if is_shortest_route_integral(c))\\n for cuboid in new_cuboids:\\n cuboids[cuboid.c].add(cuboid)\\n \\n for i in range(batch * 500, batch * 500 + 500):\\n \\n total_found += len(cuboids[i])\\n if total_found >= limit:\\n click.echo(total_found)\\n click.echo(i)\\n return\",\n \"def fn(i, j):\\n if i == m-1 and j == n-1: return max(1, 1 - dungeon[i][j])\\n if i > m-1 or j > n-1: return inf\\n return max(1, min(fn(i+1, j), fn(i, j+1)) - dungeon[i][j])\",\n \"def a_star(self, xy1, xy2):\\n tile_col1, tile_row1 = self.the_map.xy_to_cr(xy1[0], xy1[1])\\n tile_col2, tile_row2 = self.the_map.xy_to_cr(xy2[0], xy2[1])\\n \\n successor_to_parent_map = {}\\n start_state = (tile_col1, tile_row1)\\n #print('x=%d, y=%d to col=%d, row=%d (map row=%d, col= %d)' % (xy1[0], xy1[1], tile_col1, tile_row1, \\n # self.the_map.tile_speeds.shape[0], self.the_map.tile_speeds.shape[1]))\\n successor_to_parent_map[(start_state, None)] = None # (Successor, Action) -> (Parent, Action)\\n \\n open_list = PriorityQueue()\\n open_list.update((start_state, None), 0)\\n closed = []\\n \\n while not open_list.isEmpty():\\n current_state, action_to_current_state = open_list.pop()\\n \\n if current_state == (tile_col2, tile_row2):\\n return self.__get_action_path((current_state, action_to_current_state), successor_to_parent_map)\\n \\n if current_state not in closed:\\n if current_state == start_state:\\n current_cost = 0\\n else:\\n current_cost = len(self.__get_action_path((current_state, action_to_current_state),\\n successor_to_parent_map))\\n \\n for successor_state, action, step_cost in self.__get_successors(current_state):\\n cost = current_cost + step_cost + self.__cartesian_distance(current_state, successor_state)\\n \\n open_list.update((successor_state, action), cost)\\n \\n if successor_state not in closed:\\n successor_to_parent_map[(successor_state, action)] = (current_state, action_to_current_state)\\n \\n closed.append(current_state)\\n return []\",\n \"def a_star(start, end, board):\\n board_n = board\\n closed_set = deque()\\n open_set = deque()\\n open_set.append(start)\\n\\n path = list()\\n\\n while open_set:\\n lowest_f_index = 0\\n for i, node in enumerate(open_set):\\n if open_set[i].f < open_set[lowest_f_index].f:\\n lowest_f_index = i\\n # Adds an additional check in case the f values are similar. Then we compare the g score instead\\n # and find the lowest\\n if open_set[i].f == open_set[lowest_f_index].f:\\n if open_set[i].g < open_set[lowest_f_index].g:\\n lowest_f_index = i\\n\\n current_node = open_set[lowest_f_index]\\n\\n if current_node == end:\\n tmp = current_node\\n path.append(tmp)\\n while tmp.previous:\\n path.append(tmp.previous)\\n tmp = tmp.previous\\n for elem in path[1:-1]: \\n elem.symbol = '▪'\\n draw_4k(board_n, wait = True)\\n\\n open_set.remove(current_node)\\n closed_set.append(current_node)\\n\\n neighbors = current_node.neighbors\\n for nb in neighbors:\\n if nb in closed_set: #Doesnt check walls here since there is no walls\\n continue\\n \\n tmp_g = current_node.g + nb.cost # Adds the cost of the neighbor cell to the tentative g score instead of just 1\\n\\n if nb not in open_set:\\n open_set.append(nb)\\n \\n elif tmp_g >= nb.g:\\n continue\\n\\n nb.previous = current_node \\n nb.g = tmp_g \\n nb.h = calculate_manhattan(nb, end)\\n nb.f = nb.g + nb.h\",\n \"def bruteForceSearch(digraph, start, end, maxTotalDist, maxDistOutdoors):\\n bFSResult = {}\\n \\n# Helper function to calculate Total Distance in a path\\n def Dist(path):\\n result = 0\\n if path == None:\\n return result\\n if len(path) == 0:\\n return result\\n for i in range(len(path)-1):\\n src = path[i]\\n dest = path[i+1]\\n for item in digraph.edges[src]:\\n if item[0] == dest:\\n result += item[1]\\n return result \\n \\n # Helper function to calculate Total Outdoor Distance in a path\\n def Out(path):\\n result = 0\\n if path == None:\\n return result \\n if len(path) == 0:\\n return result\\n for i in range(len(path)-1):\\n src = path[i]\\n dest = path[i+1]\\n for item in digraph.edges[src]:\\n if item[0] == dest:\\n result += item[2]\\n return result \\n\\n # Helper function using DFS method\\n def bFS(graph, start, end, maxD, maxO, path = [], result = None):\\n path = path + [start]\\n if start == end:\\n return path\\n for node in graph.childrenOf(start):\\n if node not in path: #avoid cycles\\n if result == None:\\n newPath = bFS(graph,node,end,maxD, maxO, path)\\n if newPath!= None and Dist(newPath) <= maxD and Out(newPath) <= maxO: \\n result = newPath\\n distResult = Dist(result)\\n if result != None and distResult not in bFSResult:\\n bFSResult[distResult] = result\\n if len(result) == 2 and result[-1] == end:\\n break\\n \\n\\n bFS(digraph, start, end, maxTotalDist, maxDistOutdoors)\\n if len(bFSResult) == 0:\\n raise ValueError\\n else:\\n return bFSResult[min(bFSResult)]\",\n \"def linear_conflicts(s, goal, dim):\\n def conflict_count(s_row, goal_row, size, t=0):\\n count = [0 for x in range(size)]\\n for j, t1 in enumerate(s_row):\\n if t1 in goal_row and t1 != 0:\\n for k, t2 in enumerate(s_row):\\n if t2 in goal_row and t2 != 0 and t1 != t2:\\n if (goal_row.index(t1) > goal_row.index(t2)) and j < k:\\n count[j] += 1\\n if (goal_row.index(t1) < goal_row.index(t2)) and j > k:\\n count[j] += 1\\n if max(count) == 0:\\n return t * 2\\n else:\\n j = count.index(max(count))\\n s_row[j] = -1\\n t += 1\\n return conflict_count(s_row, goal_row, size, t)\\n\\n total = manhattan_distance(s, goal, dim)\\n\\n s_rows = [[] for y in range(dim)]\\n s_cols = [[] for x in range(dim)]\\n goal_rows = [[] for y in range(dim)]\\n goal_cols = [[] for x in range(dim)]\\n for y in range(dim):\\n for x in range(dim):\\n i = (y*dim) + x\\n s_rows[y].append(s[i])\\n s_cols[x].append(s[i])\\n goal_rows[y].append(goal[i])\\n goal_cols[x].append(goal[i])\\n for i in range(dim):\\n total += conflict_count(s_rows[i], goal_rows[i], dim)\\n for i in range(dim):\\n total += conflict_count(s_cols[i], goal_cols[i], dim)\\n return total\",\n \"def solution(n, m, d):\\n offset_l = [0] + list(d)\\n offset_r = list(d) + [n]\\n diffs = [x-y for x, y in it.izip(offset_r, offset_l)]\\n \\n # Find index of the two gaps to be merged.\\n # Search a moving window width 2 for the smallest sum.\\n # j'th window implies merging diff j + diff j+1\\n L = len(diffs)\\n win_w2 = [x+y for x, y in it.izip(diffs[:L-1], diffs[1:])]\\n j = win_w2.index(min(win_w2))\\n \\n # find index of maximum gap (ie the one we'll split in 2)\\n k = max(diffs)\\n \\n # Forming an irreducible fraction\\n numerator = k // 2 * (k // 2 + k % 2) * min(win_w2)\\n denom = diffs[j] * diffs[j+1] * k\\n gg = gcd(numerator, denom)\\n numerator /= gg\\n denom /= gg\\n return str(numerator) + str(denom)\",\n \"def astar_corner(maze):\\n # TODO: Write your code here\\n \\\"\\\"\\\"\\n Plan:\\n Do normal a* but then .clear visited after each new goal is found\\n new h = Manhattan distance to the nearest goal and then the manhattan distance to the other goals starting from this nearest goal. \\n new priority queue -- tuple (f, x&y, goals_left, \\n \\\"\\\"\\\"\\n pq = []\\n visited = {}\\n\\n goals = maze.getObjectives()\\n start = maze.getStart()\\n\\n tie = 1\\n #\\n # tuple = (f,g,h,x&y,tiebreaker, goals left, currpath, visited)\\n f = min_manhattan(goals, start)\\n curr = (f, 0, f, start, goals, 0, [])\\n heapq.heappush(pq, curr)\\n\\n food = None\\n while len(pq) > 0:\\n curr = heapq.heappop(pq)\\n #print(\\\"curr:\\\", curr)\\n if curr[3] in curr[4]:\\n curr[4].remove(curr[3])\\n if len(curr[4]) == 0:\\n #print(\\\"DONE\\\")\\n #print(food)\\n food = curr\\n break\\n neighbors = maze.getNeighbors(curr[3][0], curr[3][1])\\n for n in neighbors:\\n curr_goals_left = curr[4].copy()\\n curr_visited = curr[6].copy()\\n tie += 1\\n #print(\\\"curr[6]: \\\", curr[6])\\n #print(\\\"n: \\\", n)\\n #print(\\\"curr[4]: \\\", curr[4])\\n h2 = min_manhattan(curr[4], n)\\n f2 = h2 + curr[1]\\n g2 = curr[1] + 1\\n\\n node_new = (f2, g2, h2, n, curr_goals_left, tie, curr_visited)\\n \\n if node_new[3] not in visited or node_new[4] not in visited[node_new[3]][1]:\\n if node_new[3] not in visited:\\n visited[node_new[3]] = (node_new[3], [])\\n visited[node_new[3]][1].append(node_new[4])\\n node_new[6].append(curr[3])\\n heapq.heappush(pq, node_new)\\n\\n if food is None:\\n return []\\n\\n food[6].append(food[3])\\n\\n return food[6]\",\n \"def astar_multi(maze):\\n graph_ = Graph(maze.getObjectives())\\n\\n pq = []\\n visited = {}\\n\\n goals = maze.getObjectives()\\n start = maze.getStart()\\n\\n tie = 1\\n #\\n # tuple = (f,g,h,x&y,tiebreaker, goals left, currpath, visited)\\n # h = min_manhattan(goals, start)\\n h = mst_heur(start, goals, graph_)\\n\\n curr = (h, 0, h, start, goals, 0, [])\\n heapq.heappush(pq, curr)\\n\\n food = None\\n while len(pq) > 0:\\n curr = heapq.heappop(pq)\\n # print(\\\"curr:\\\", curr)\\n if curr[3] in curr[4]:\\n curr[4].remove(curr[3])\\n if len(curr[4]) == 0:\\n # print(\\\"DONE\\\")\\n # print(food)\\n food = curr\\n break\\n neighbors = maze.getNeighbors(curr[3][0], curr[3][1])\\n for n in neighbors:\\n curr_goals_left = curr[4].copy()\\n curr_visited = curr[6].copy()\\n tie += 1\\n\\n # print(\\\"curr[6]: \\\", curr[6])\\n # print(\\\"n: \\\", n)\\n # print\\n\\n # h2 = min_manhattan(curr[4], n)\\n h2 = mst_heur(n, curr[4], graph_)\\n f2 = h2 + curr[1]\\n g2 = curr[1] + 1\\n\\n node_new = (f2, g2, h2, n, curr_goals_left, tie, curr_visited)\\n\\n if node_new[3] not in visited or node_new[4] not in visited[node_new[3]][1]:\\n if node_new[3] not in visited:\\n visited[node_new[3]] = (node_new[3], [])\\n visited[node_new[3]][1].append(node_new[4])\\n node_new[6].append(curr[3])\\n heapq.heappush(pq, node_new)\\n\\n if food is None:\\n return []\\n\\n food[6].append(food[3])\\n\\n return food[6]\",\n \"def h1(self, current_state):\\n # Default the variable to be true\\n is_goal = True\\n\\n # Define the two heuristics for each goal state\\n h_goal_1 = 0\\n h_goal_2 = 0\\n\\n # Check if the current state equals goal state 1\\n for i in range(1, self.puzzle_length):\\n if int(current_state[i - 1]) != i:\\n h_goal_1 += 1\\n is_goal = False\\n # end: for-loop\\n\\n # Only check for the second goal state if the current state does not equal the goal\\n # and if we didn't already determine it was goal state 1\\n if not is_goal:\\n # Reset the value\\n is_goal = True\\n counter = 1\\n\\n # Check if the current state equals goal state 2\\n for j in range(self.puzzle_width):\\n for i in range(self.number_of_rows):\\n if int(current_state[i * self.puzzle_width + j]) != counter:\\n is_goal = False\\n h_goal_2 += 1\\n\\n # Increment our counter\\n counter += 1\\n\\n # If we reached the last element, we want to set it to 0,\\n # since that is what the last element should be in goal-state-2\\n if counter == self.puzzle_length:\\n counter = 0\\n # end: inner-for-loop\\n # end: outer-for-loop\\n # end: if\\n\\n if self.continuous(current_state):\\n return min(h_goal_1, h_goal_2)\\n else:\\n return 2 * min(h_goal_1, h_goal_2)\\n # Return the minimum of the two heuristics\",\n \"def brute_force_solution():\\n def is_pythagorean_triplet(a, b, c):\\n return c**2 == a**2 + b**2\\n\\n return next(\\n a * b * (TRIPLET_SUM - a - b)\\n for a in range(1, TRIPLET_SUM)\\n for b in range(a + 1, TRIPLET_SUM - a)\\n if is_pythagorean_triplet(a, b, TRIPLET_SUM - a - b)\\n )\",\n \"def bsgs(g: int, res: int, modulo: int):\\n\\n assert millerRabin(modulo)\\n\\n # https://en.wikipedia.org/wiki/Baby-step_giant-step\\n\\n from ressources.multGroup import inv\\n\\n m = integer_sqrt(modulo) + 1\\n\\n hashTable = {square_and_multiply(g, j, modulo): j for j in range(m)} # Baby-Step\\n\\n gm = square_and_multiply(g, m, modulo)\\n invGm = inv(gm, modulo)\\n\\n # Initialization\\n y = res\\n\\n # Search for an equivalence in the table - Giant-Step\\n for i in range(m):\\n\\n if y in hashTable:\\n return i * m + hashTable[y]\\n\\n y = (y * invGm) % modulo\\n\\n return -1\",\n \"def prob2():\\n # Define the function to be optimized and the initial condition.\\n def multimin(x):\\n r = np.sqrt((x[0]+1)**2 + x[1]**2)\\n return r**2 *(1+ np.sin(4*r)**2)\\n x0 = np.array([-2, -2])\\n \\n info = {}\\n info[.5] = opt.basinhopping(multimin, x0, stepsize=0.5,\\n minimizer_kwargs={'method':'nelder-mead'})\\n info[.2] = opt.basinhopping(multimin, x0, stepsize=0.2,\\n minimizer_kwargs={'method':'nelder-mead'})\\n\\n # Print the results.\\n for step in info:\\n print(\\\"Stepsize:\\\\t{}\\\\nMinimum:\\\\t{}\\\\n\\\".format(step, info[step].fun))\\n\\n # Answer the problem question and return the minimum value.\\n print(\\\"0.2 is too small a stepsize to escape the basin of a local min.\\\")\\n return info[.2].fun\",\n \"def fn(i, j, empty):\\n nonlocal ans \\n if grid[i][j] == 2: \\n if empty == -1: ans += 1\\n return \\n grid[i][j] = -1 # mark as visited \\n for ii, jj in (i-1, j), (i, j-1), (i, j+1), (i+1, j): \\n if 0 <= ii < m and 0 <= jj < n and grid[ii][jj] != -1: \\n fn(ii, jj, empty-1)\\n grid[i][j] = 0 # backtracking\",\n \"def two_point_crossover(path1, path2, board, n, m):\\n x, y = get_start(board)\\n new_path1, new_path2 = cross_paths(path1, path2)\\n while not is_path_correct(x, y, remove_constant_points(new_path1), board) or \\\\\\n not is_path_correct(x, y, remove_constant_points(new_path2), board):\\n new_path1, new_path2 = cross_paths(path1, path2)\\n if len(path1) < n * m * len(new_path1):\\n new_path1 = path1\\n if len(path2) < n * m * len(new_path2):\\n new_path2 = path2\\n return remove_constant_points(new_path1), remove_constant_points(new_path2)\",\n \"def needleman_wunsch1(x,y,lodict=None,gop=-2.5, gep=-1.75, local=False):\\n n,m = len(x),len(y)\\n dp = np.zeros((n+1,m+1))\\n pointers = np.zeros((n+1,m+1),np.int32)\\n for i in range(1,n+1):\\n dp[i,0] = dp[i-1,0]+(gep if i>1 else gop)\\n pointers[i,0]=1\\n for j in range(1,m+1):\\n dp[0,j] = dp[0,j-1]+(gep if j>1 else gop)\\n pointers[0,j]=2\\n for i in range(1,n+1):\\n for j in range(1,m+1):\\n if not lodict:\\n if x[i-1] == y[j-1]:\\n match = dp[i-1,j-1]+1\\n else:\\n match = dp[i-1,j-1]-1\\n else:\\n match = dp[i-1,j-1]+lodict[x[i-1],y[j-1]]\\n insert = dp[i-1,j]+(gep if pointers[i-1,j]==1 else gop)\\n delet = dp[i,j-1]+(gep if pointers[i,j-1]==2 else gop)\\n max_score = max([match,insert,delet])\\n dp[i,j] = max_score\\n pointers[i,j] = [match,insert,delet].index(max_score)\\n alg = []\\n i,j = n,m\\n while(i>0 or j>0):\\n pt = pointers[i,j]\\n if pt==0:\\n i-=1\\n j-=1\\n alg = [[x[i],y[j]]]+alg\\n if pt==1:\\n i-=1\\n alg = [[x[i],'-']]+alg\\n if pt==2:\\n j-=1\\n alg = [['-',y[j]]]+alg\\n return dp[-1,-1], alg\",\n \"def solve(self):\\r\\n while not self.done():\\r\\n self.no_open_cells()\\r\\n self.all_cells_are_mines()\\r\\n self.no_mines()\\r\\n if not self.done():\\r\\n self.obvious_cells()\\r\\n if not self.done():\\r\\n made_progress = self.safe_neighbour_difference()\\r\\n if made_progress:\\r\\n continue\\r\\n if not self.done():\\r\\n made_progress = self.adjacent_combinations()\\r\\n if made_progress:\\r\\n continue\\r\\n return\",\n \"def dfs(x, p, step):\\n disc[x] = low[x] = step\\n for xx in graph.get(x, []): \\n if disc[xx] == inf: \\n step += 1\\n dfs(xx, x, step)\\n low[x] = min(low[x], low[xx])\\n if low[xx] > disc[x]: ans.append([x, xx]) # bridge\\n elif xx != p: low[x] = min(low[x], disc[xx])\",\n \"def solve(self):\\n smallest_f = self.get_smallest_f_cost_unvisited_node()\\n smallest_f_node = smallest_f[0]\\n\\n if smallest_f[1] > 1:\\n current_node = self.get_smallest_h_cost_unvisited_node()\\n else:\\n current_node = smallest_f_node\\n if current_node.f_cost == self.inf:\\n return\\n\\n self.set_h_cost(current_node)\\n self.unvisited_pos.remove(current_node.pos)\\n self.visited_pos.append(current_node.pos)\\n neighbours = algo_utils.get_neighbours(current_node, self.grid, self.wall_pos)\\n\\n for neigh in neighbours:\\n neighbour_dist = neigh.g_cost\\n current_dist = current_node.g_cost\\n new_dist = current_dist + 1\\n if neighbour_dist < new_dist:\\n continue\\n neigh.g_cost = new_dist\\n self.set_h_cost(neigh)\\n mix_neigh = {neigh.pos: neigh.g_cost}\\n self.mix.update(mix_neigh)\\n mix_current = {current_node.pos: current_node.g_cost}\\n self.mix.update(mix_current)\\n\\n smallest_f = self.get_smallest_f_cost_unvisited_node()\\n smallest_f_node = smallest_f[0]\\n smallest_h_node = self.get_smallest_h_cost_unvisited_node()\\n\\n if (\\n self.end_pos not in self.unvisited_pos\\n or algo_utils.get_smallest_g_cost_unvisited_node(\\n self.grid, self.unvisited_pos\\n ).g_cost\\n == self.inf\\n ):\\n for key, value in self.mix.items():\\n self.mix[key] = round((value * 1.0) / self.end_node.g_cost, 3)\\n self.backtrack_path(self.end_node)\\n else:\\n if smallest_f[1] > 1:\\n current_node = smallest_h_node\\n else:\\n current_node = smallest_f_node\\n self.solve()\",\n \"def test_solver_combo_approach(m, result):\\n from sudoku_solver_hard_unique import sudoku_solver, valid\\n from copy import deepcopy\\n brute_m = deepcopy(m)\\n solved_sudoku = sudoku_solver(brute_m)\\n assert valid(solved_sudoku) == result\",\n \"def solve(list_of_locations, list_of_homes, starting_car_location, adjacency_matrix, params=[]):\\n\\n loc_map = {}\\n drop_off_dict = {}\\n num_home_visited = 0\\n\\n \\\"\\\"\\\"\\n for i in range(len(list_of_locations)):\\n loc_map[i] = list_of_locations[0]\\n \\\"\\\"\\\"\\n\\n home_indexes = convert_locations_to_indices(list_of_homes, list_of_locations)\\n start = list_of_locations.index(starting_car_location)\\n graph, msg = adjacency_matrix_to_graph(adjacency_matrix)\\n num_homes = len(list_of_homes)\\n\\n car_path = []\\n all_paths = dict(nx.all_pairs_dijkstra(graph))\\n visited = set()\\n\\n #print(start)\\n car_path.append(start)\\n current_node = start\\n\\n if start in home_indexes:\\n visited.add(start)\\n drop_off_dict[start] = [start]\\n num_home_visited += 1\\n\\n while num_home_visited < num_homes:\\n dist_dict = all_paths.get(current_node)[0]\\n paths_dict = all_paths.get(current_node)[1]\\n\\n dist_dict = {k:v for (k,v) in dist_dict.items() if k not in visited and k in home_indexes}\\n min_dist = min(dist_dict.values())\\n min_list = [k for k in dist_dict.keys() if dist_dict[k] <= min_dist]\\n #print(dist_dict.values())\\n target = min_list[0]\\n drop_off_dict[target] = [target]\\n #print(target+1)\\n #print(target)\\n car_path.pop()\\n car_path.extend(paths_dict[target])\\n\\n visited.add(target)\\n current_node = target\\n num_home_visited += 1\\n\\n paths_dict = all_paths.get(current_node)[1]\\n car_path.pop()\\n car_path.extend(paths_dict[start])\\n #print((drop_off_dict.keys()))\\n #car_path = [start, ...., start]\\n #drop_off_dict = {drop_off_loc: [home1, home2, ...] }\\n\\n return car_path, drop_off_dict\",\n \"def problem():\\n for a in range(1, 380):\\n for b in range(a):\\n if a + b + (a**2 + b**2)**0.5 == 1000:\\n return int(a * b * (a**2 + b**2)**0.5)\",\n \"def fn(i, j):\\n if grid[i][j] <= 0: return 0\\n grid[i][j] *= -1 # mark as visited \\n ans = 0\\n for ii, jj in (i-1, j), (i, j-1), (i, j+1), (i+1, j): \\n if 0 <= ii < m and 0 <= jj < n: \\n ans = max(ans, fn(ii, jj) - grid[i][j])\\n grid[i][j] *= -1 # backtracking \\n return ans\",\n \"def solve(m):\\n\\t\\n #with the assumption that at least one terminal state is given:\\n if(len(m)==2 or len(m)==1): return [1,1]\\n \\n #Normalizing the in. matrix and identifying the trans./abs. states:\\n m = normalizeProbabilityMatrix(m)\\n t = getTransientStates(m)\\n a = getAbsorbingStates(m)\\n\\t\\n if len(a) >0:\\n print( str(len(a)) + \\\" absorbing state\\\" + (\\\"\\\" if len(a)<=1 else \\\"s\\\" ))\\n else:\\n print(\\\"No absorbing state detected\\\")\\n return\\n \\n #Getting the matrices Q and R as in the canonical form:\\n Q = getQ(m,t)\\n R = getR(m,t,a)\\n I = getIdentity(len(Q))\\n I_Q = subtractMatrices(I, Q)\\n \\n #Getting the fundamental matrix\\n N = invertMatrix(I_Q)\\n F = multiplyMatrices(N,R)\\n \\n #packing the result with a common denominator:\\n gcd = getGCD(F[0]).denominator\\n res=[]\\n sum = 0\\n for r in F[0]:\\n val = int(r.numerator*(gcd/r.denominator))\\n sum+=val\\n res.append(val)\\n res.append(sum) \\n return res\",\n \"def main():\\n \\n m = int(input(\\\"length of wall:\\\"))\\n n = int(input(\\\"width of wall:\\\"))\\n a = int(input(\\\"length of tile:\\\"))\\n b = int(input(\\\"width of tile:\\\")) \\n \\n if m*n % a*b != 0:\\n error1 = \\\"Wall cannot be covered completely by given tile dimension.\\\" + \\\"\\\\n\\\" + \\\"Unable to perform calculation.\\\"\\n print(error1)\\n return error1\\n elif m == n == a == b:\\n error2 = \\\"The tile is the size of the wall. No need for any calculations.\\\"\\n print(error2)\\n return error2\\n else:\\n matrix = [0]*(m*n)\\n wall_identity = wall(m,n)\\n final = tile_combi(m,n,a,b,wall_identity,matrix,[],[])\\n num = len(final)\\n for p in range(num):\\n print(final[p],\\\"\\\\n\\\")\\n print(\\\"Total number of possible combination:{0}\\\".format(num))\\n max_num = num - 1\\n choice = int(turtle.numinput(\\\"How to tile the wall?\\\",\\\"Select a tiling method from 0 - \\\" + str(max_num), None, 0, max_num))\\n method = final[choice]\\n wall_draw(m,n,method,wall_identity)\",\n \"def C(relatorlist,quit_at=float('inf')):\\n F,rels=fg.parseinputwords(relatorlist)\\n if not all(r==F.cyclic_reduce(r) for r in rels):\\n raise ValueError(\\\"Relators are not cyclically reduced.\\\")\\n thepieces=pieces(rels)\\n minnumberpieces=quit_at\\n def min_string_piece_expression(whatsleft,thepieces,quit_at):\\n # recursively determine the minimal expression of the string whatsleft as a concatenation of elements of thepieces, or stop once it is determined that any such expression requires at least quit_at many pieces\\n # find a piece that agrees with a prefix of whatsleft and the recurse on the suffix\\n if not whatsleft:\\n return 0\\n minexp=quit_at\\n for p in thepieces:\\n if p!=whatsleft[:len(p)]:\\n continue\\n else:\\n minexp=min(minexp,1+min_string_piece_expression(whatsleft[len(p):],thepieces,minexp-1))\\n return minexp\\n def min_relator_piece_expression(relator,thepieces,quit_at):\\n # This is first step in recursive search. Here we want to find a piece p such that for relator r we can write p=xy and r=yzx, with y nontrivial. That is, in this step only we think of r as cyclic word and allow first piece that wraps.\\n r=relator()\\n minexp=quit_at\\n for p in thepieces:\\n if len(p)>len(r):\\n continue\\n possiblestartingindices=[] # for given p there may be different possible choices of y\\n for startingindex in range(len(r)-len(p)+1,len(r)+1):\\n if p==(r+r)[startingindex:startingindex+len(p)]:\\n possiblestartingindices.append(startingindex)\\n if not possiblestartingindices:\\n continue\\n for startingindex in possiblestartingindices:\\n # found a way to fit p into r spanning the beginning of r. This accounts for x and y part of r. Now recursively find shortest expression of z=whatsleft as a concatenation of pieces.\\n whatsleft=(r+r)[startingindex+len(p):startingindex+len(r)]\\n if not whatsleft:\\n return 1\\n else:\\n minexp=min(minexp,1+min_string_piece_expression(whatsleft,thepieces,minexp-1))\\n return minexp\\n for thisrelator in rels:\\n minnumberpieces=min(minnumberpieces,min_relator_piece_expression(thisrelator,thepieces,minnumberpieces))\\n return minnumberpieces\",\n \"def breadthFirstSearch(problem):\\n \\\"*** YOUR CODE HERE ***\\\"\\n class Node:\\n def __init__(self, state, parent, action, pathCost):\\n self.state = state\\n self.parent = parent\\n self.action = action\\n self.pathCost = pathCost\\n\\n def solution(self):\\n path = list()\\n tempNode = self\\n while tempNode.state != problem.getStartState():\\n path.insert(0, tempNode.action)\\n tempNode = tempNode.parent\\n return path\\n\\n\\n\\n\\n def childNode(successor, parent, action, stepCost):\\n pathCost = parent.pathCost + stepCost\\n child = Node(successor, parent, action, pathCost)\\n return child\\n\\n initialNode = Node(problem.getStartState(), None, None, 0)\\n if problem.isGoalState(initialNode.state):\\n return initialNode.solution()\\n\\n frontier = util.Queue() #bfs uses a queue\\n frontier.push(initialNode)\\n explored = set()\\n\\n while not frontier.isEmpty() :\\n nextNode = frontier.pop() #extract from the start of the queue\\n explored.add(nextNode.state)\\n for successor, action, stepCost in problem.getSuccessors(nextNode.state):\\n child = childNode(successor, nextNode, action, stepCost)\\n if child.state not in explored and child not in frontier.list:\\n if problem.isGoalState(child.state):\\n return child.solution()\\n frontier.push(child)\\n return []\\n util.raiseNotDefined()\",\n \"def breadthFirstSearch(problem):\\n \\\"*** YOUR CODE HERE ***\\\"\\n\\n # fringe priority queue\\n fringe = util.PriorityQueue()\\n fringe.push([problem.getStartState()],1) # fringe will have (priority, order, [s0,s1,..])\\n\\n # closed set\\n closed = []\\n\\n i = 0\\n while not fringe.isEmpty():\\n\\n # get highest priority path for expansion e.g. [s0,s2,s4]\\n path_exp = fringe.pop()\\n\\n # take last node in path e.g. s4\\n node_exp = path_exp[-1]\\n\\n # check goal state\\n if problem.isGoalState(node_exp): # check if goal\\n actions = actions_for_path(problem,path_exp)\\n #import pdb; pdb.set_trace()\\n return actions\\n\\n # add expanded node into closed set e.g. [s0,s1,s2]\\n if node_exp not in closed:\\n closed.append(node_exp)\\n else:\\n # if it's in the closed set, don't expand\\n continue\\n\\n # get sucessors to expand fringe\\n successors = problem.getSuccessors(node_exp)\\n for successor in successors:\\n # unpack states, actions\\n ss,aa,_ = successor\\n if ss not in closed:\\n path = path_exp+[ss]\\n # expand fringe by adding candidate paths, prioritize by len of path\\n fringe.push(path,len(path))\\n\\n #i+=1\\n if i==1000:\\n import pdb; pdb.set_trace()\\n\\n util.raiseNotDefined()\",\n \"def part_1(maze: 'Maze') -> int:\\n\\n result, _ = solve_maze(maze)\\n\\n print(f\\\"part 1: shortest path through maze takes {result} steps\\\")\\n return result\",\n \"def get_shortest_route_floyd(network, start,destination, excludings=[]):\\n\\n # On récupère la liste des villes\\n list_city = network[1].keys()\\n \\n # Si la ville de départ ou de fin n'existe pas\\n if start not in list_city or destination not in list_city:\\n return None\\n\\n # On retire les villes à exclure\\n list_city = [x for x in list_city if x not in excludings]\\n\\n\\n # Initialisation de se qu'on a besoin\\n matrix = []\\n distance = []\\n n = len(list_city)\\n\\n \\n # On construit la matrice adjacente où indique la distance si il existe une autoroute entre 2 villes\\n for x in range(n): \\n matrix.append( [] )\\n distance.append( [] )\\n for y in range(n):\\n road_id = get_road_to(network,list_city[x],list_city[y])\\n if road_id != None:\\n matrix[x].append( get_length(network,road_id) )\\n else:\\n matrix[x].append( None )\\n distance[x].append( [road_id] ) # Autoroute -> format: ['LA']\\n\\n\\t \\n # Algorithme de Floyd\\n for k in range(n):\\n for i in range(n):\\n for j in range(n):\\n if ( matrix[i][k] != None and matrix[k][j] != None ) and ( ( matrix[i][j] == None ) or ( matrix[i][j] > matrix[i][k] + matrix[k][j] ) ):\\n matrix[i][j] = matrix[i][k] + matrix[k][j]\\n\\t\\t \\n\\t\\t # Hors Floyd / Ajout personnel\\n if i != k and j != k: # Si i == k ou j == k, cela veut dire qu'on additionne un résultat supplémentaire à la case ij\\n distance[i][j] = [] # Sinon ca signifie qu'on a trouvé un chemin plus court, du coup on supprime l'ancien chemin\\n distance[i][j].extend( distance[i][k] ) # Chemin d'autoroute parcouru en plus -> format: ['LA','AH']\\n distance[i][j].extend( distance[k][j] ) # Chemin d'autoroute parcouru en plus -> format: ['LA','AH']\\n\\n\\t\\t \\n # On récupère simplement la liste des autoroutes parcourus\\n idx_start = list_city.index( start )\\n idx_destination = list_city.index( destination )\\n distance_minimum = distance[ idx_start ][ idx_destination ]\\n\\n \\n # Si on ne trouve aucune solution, on renvoie None\\n if distance_minimum == [None]:\\n distance_minimum = None\\n \\n return distance_minimum\",\n \"def bisezione(f,a,b,toll=10**-5):\\n m = (a+b)/2\\n f_m = f(m)\\n while abs(f_m) > toll:\\n if f(a)*f_m < 0:\\n b = m\\n elif f(b)*f_m < 0:\\n a = m\\n elif f_m == 0:\\n print(\\\"Trovata solzione esatta\\\")\\n return m\\n else:\\n print(\\\"Metodo fallito\\\")\\n return None\\n m = (a+b)/2\\n f_m = f(m)\\n return m\",\n \"def solve(num_wizards, num_constraints, wizards, constraints):\\n print(\\\"starting time\\\")\\n start = time.time()\\n print(\\\"hello\\\")\\n end = time.time()\\n print(\\\"time taken\\\",end - start)\\n random.shuffle(wizards)\\n assignment = wizards\\n loop_counter = 0\\n temperature = 10.0\\n while not numSat(constraints, assignment) == len(constraints):\\n loop_counter += 1\\n if loop_counter % 500 == 0:\\n print(\\\"numSat\\\", numSat(constraints, assignment))\\n print(\\\"loops\\\",loop_counter)\\n print(\\\"time taken\\\", time.time()-start)\\n a = random.sample([i for i in range(len(wizards))], 1)\\n b = random.sample([i for i in range(len(wizards))], 1)\\n new_assignment = swap(assignment, a[0], b[0])\\n delta = numSat(constraints, assignment) - numSat(constraints, new_assignment)\\n if delta < 0:\\n print(\\\"delta negative\\\")\\n assignment = new_assignment\\n else: \\n # print(\\\"sample greater than expo\\\")\\n sample = random.uniform(0.0,1.0)\\n expo = np.exp(-1*float(delta) / temperature)\\n if sample < expo:\\n # print(\\\"sample less than expo\\\")\\n assignment = new_assignment\\n temperature -= 0.2\\n\\n print(\\\"Solved BITCH! numSat:\\\", numSat(constraints, assignment))\\n return assignment\",\n \"def safeJourney(Alist,s,d):\\n #Initialize dictionaries\\n dinit = 10**6\\n Edict = {} #Explored nodes\\n Udict = {} #Unexplored nodes\\n path = [[] for l in Alist]\\n\\n Alen = len(Alist) #length of Alist\\n dinits = [dinit]*Alen #list of airport indexes\\n Udict = dict(zip(list(range(Alen)),dinits)) #zip into dictionary\\n Udict[s] = 0\\n path[s] = [s]\\n \\n #Main search\\n while len(Udict)>0:\\n #Find node with min d in Udict and move to Edict\\n dmin = dinit\\n for n,w in Udict.items():\\n if w<dmin:\\n dmin=w\\n nmin=n\\n Edict[nmin] = Udict.pop(nmin)\\n print(\\\"moved node\\\", nmin)\\n\\n #Update provisional distances for unexplored neighbors of nmin\\n \\n #for n,w in G.adj[nmin].items():\\n for item in Alist[nmin]: #nminth element is a list of two element tuples (node, weight)\\n n = item[0] #first elt of tuple is node/neighbour\\n w = item[1] #2nd elt is density/weigh\\n #for n,w in etc_______________________-\\n \\n if n in Edict:\\n pass\\n elif n in Udict:\\n #dcomp = dmin + w\\n dcomp = max(w,dmin) #take largest value to record most dangerous segment\\n if dcomp<Udict[n]:\\n print(Udict)\\n Udict[n]=dcomp\\n path[n] = path[nmin] + [n]\\n #path[n].extend(path[nmin])\\n #path[n] = path[nmin]\\n \\n #path[n].append(n) #n not nmin\\n print(path)\\n # else:\\n #dcomp = dmin + w\\n # dcomp = max(w,dmin)\\n # Udict[n] = dcomp\\n #path[n].extend(path[nmin])\\n #path[n].append(nmin) \\n \\n if nmin == d: #if current node is destination\\n return path[d],Edict[d]\\n return [] #no path\",\n \"def MinimizeDFA(self, ):\\n\\n def Split(S):\\n \\\"\\\"\\\"This function split a given set according to their\\n reaction to input characters.\\\"\\\"\\\"\\n # for each char do\\n # if c splits S into s1 and s2\\n # then return {s1, s2}\\n \\n # return S\\n\\n # T <- {Da, {D - Da}}\\n # P <- {}\\n\\n T = [[ID for ID in range(self.NumStates + 1) if ID not in self.AcceptStates],\\n self.AcceptStates]\\n Set1 = [ID for ID in range(self.NumStates + 1) if ID not in self.AcceptStates]\\n if Set1:\\n T = [Set1, self.AcceptStates]\\n else:\\n T = [self.AcceptStates]\\n P = list()\\n\\n # Minimize DFA using the following algorithm:\\n # \\n # while P != T do\\n # P <- T\\n # T <- {}\\n # for each set p in P do\\n # T <- T | Split(p)\\n __counter = 0\\n while len(P) != len(T):\\n if __counter > 10:\\n print \\\"ERROR: loop forever\\\"\\n exit()\\n __counter += 1\\n \\n P = T[:]\\n T = list()\\n for p in P:\\n if len(p) == 1:\\n # p has only one member, nothing to split\\n T.append(p)\\n continue\\n # p should not be empty\\n assert p\\n\\n s1 = list()\\n s2 = list()\\n # main splitting function\\n for idx, char in enumerate(rule.ForAllChar()):\\n for state in p:\\n # state should be a string\\n key = str(state) + '_' + char\\n if key in self.TransitionMap:\\n if self.TransitionMap[key] not in p:\\n s2.append(state)\\n else:\\n s1.append(state)\\n else:\\n s2.append(state)\\n \\n if s2 and s1:\\n # set splitted. exit the loop to update the main list\\n break\\n elif idx < len(rule.ForAllChar()) - 1:\\n # clear s1 and s2, enter the next round\\n del s1[:]\\n del s2[:]\\n\\n if not s2 or not s1:\\n # the set is not splitted, so just append p\\n T.append(p)\\n else:\\n # set is splitted into s1 and s2\\n T.append(s1)\\n T.append(s2)\\n\\n # Now, create a new Transition Map\\n NewTransitionMap = dict()\\n for States in T:\\n for char in rule.ForAllChar():\\n key = str(States[0]) + '_' + char\\n if key in self.TransitionMap:\\n # Cannot directly copy the destination state, because they\\n # already have new ids. have to use the new state id here\\n for states in T:\\n if self.TransitionMap[key] in states:\\n # doesn't matter which id in the set is used, since\\n # they all have the same behavior\\n # choose first state here\\n NewTransitionMap[key] = states[0]\\n \\n self.TransitionMap = dict(NewTransitionMap.items())\\n \\n # Modify the accepting State\\n NewAcceptStates = set()\\n for States in T:\\n for state in States:\\n if state in self.AcceptStates:\\n NewAcceptStates.add(States[0])\\n break\\n self.AcceptStates = list(NewAcceptStates)\\n \\n # Modify the starting State\\n NewStartStates = set()\\n for States in T:\\n for state in States:\\n if state in self.StartStates:\\n NewStartStates.add(States[0])\\n break\\n self.StartStates = list(NewStartStates)\\n\\n # for key, value in self.TransitionMap.items():\\n # print key, '=>', value\\n # print 'Accept =', self.AcceptStates\\n # print 'Start =', self.StartStates\",\n \"def resolve_internal(g, path):\\n n = len(g)\\n for step in range(1, n):\\n for k in range(n):\\n for i in range(n):\\n for j in range(n):\\n cost = g[i][k][step-1] * g[k][j][0]\\n if g[i][j][step] < cost:\\n g[i][j][step] = cost\\n path[i][j][step] = k\\n if i == j and g[i][i][step] > 1.01:\\n return recover_path(path, n, step, i, j)\\n return None\",\n \"def method1(automaton, level):\\r\\n\\r\\n old_bad_twin = automaton\\r\\n i = 1\\r\\n while i <= level:\\r\\n new_bad_twin = generate_bad_twin(old_bad_twin, i)\\r\\n good_twin = generate_good_twin(new_bad_twin)\\r\\n synchronized, ambiguous_transitions = synchronize_1(new_bad_twin, good_twin)\\r\\n for src_name, dst_name in ambiguous_transitions:\\r\\n states = synchronized.get_states()\\r\\n if find_loops(states[dst_name], {src_name}):\\r\\n return i - 1\\r\\n old_bad_twin = new_bad_twin\\r\\n i += 1\\r\\n return True\",\n \"def astar_map(map, start, end):\\n\\n # Create start and end node\\n start_node = Node3(None, start)\\n start_node.g = start_node.h = start_node.f = 0\\n end_node = Node3(None, end)\\n end_node.g = end_node.h = end_node.f = 0\\n\\n # Initialize both open and closed list\\n open_list = []\\n closed_list = []\\n\\n # Add the start node\\n open_list.append(start_node)\\n\\n # Loop until you find the end\\n x = 0\\n while len(open_list) > 0:\\n x+=1\\n # Get the current node\\n current_node = open_list[0]\\n \\n current_index = 0\\n for index, item in enumerate(open_list):\\n if item.f < current_node.f:\\n current_node = item\\n current_index = index\\n\\n # Pop current off open list, add to closed list\\n open_list.pop(current_index)\\n closed_list.append(current_node)\\n\\n # Found the goal\\n if current_node.position == end_node.position:\\n path = []\\n current = current_node\\n while current is not None:\\n path.append(current.position)\\n current = current.parent\\n return path[::-1] # Return reversed path\\n\\n # Generate children\\n children = []\\n for key in map:\\n if key == tuple(current_node.position):\\n for elem in map[key]:\\n new_node = Node3(current_node, elem[0],elem[1])\\n children.append(new_node)\\n\\n # Loop through children\\n for child in children:\\n\\n # Child is on the closed list\\n for closed_child in closed_list:\\n if child == closed_child:\\n continue\\n\\n # Create the f, g, and h values \\n child.g = current_node.g + child.cost\\n child.h = ((child.position[0] - end_node.position[0]) ** 2) + ((child.position[1] - end_node.position[1]) ** 2)\\n child.f = child.g + child.h\\n\\n # Child is already in the open list\\n for open_node in open_list:\\n if child == open_node and child.g > open_node.g:\\n continue\\n # Add the child to the open list\\n open_list.append(child)\",\n \"def a_star_graph(graph, h, start, goal):\\n \\n path = []\\n queue = PriorityQueue()\\n queue.put((0, start))\\n visited = set(start)\\n\\n branch = {}\\n found = False\\n \\n while not queue.empty():\\n item = queue.get()\\n current_cost = item[0]\\n current_node = item[1]\\n\\n if current_node == goal: \\n print('Found a path.')\\n found = True\\n break\\n else:\\n for next_node in graph[current_node]:\\n cost = graph.edges[current_node, next_node]['weight']\\n new_cost = current_cost + cost + h(next_node, goal)\\n \\n if next_node not in visited: \\n visited.add(next_node) \\n queue.put((new_cost, next_node))\\n \\n branch[next_node] = (new_cost, current_node)\\n \\n path = []\\n path_cost = 0\\n if found:\\n \\n # retrace steps\\n path = []\\n n = goal\\n path_cost = branch[n][0]\\n while branch[n][1] != start:\\n path.append(branch[n][1])\\n n = branch[n][1]\\n path.append(branch[n][1])\\n \\n return path[::-1], path_cost\",\n \"def bfs(start, goal):\\n queue = [(start, [start])]\\n visited = set([start])\\n while queue:\\n (vertex, path) = queue.pop(0)\\n if vertex == goal:\\n return path\\n\\n for word in bank:\\n count = 0\\n for i, c in enumerate(vertex): # Count differences\\n if c != word[i]:\\n count += 1\\n if count == 1: # Valid neighbor\\n if word not in visited:\\n visited.add(word)\\n queue.append((word, path + [word]))\\n\\n return \\\"No path found :(\\\"\",\n \"def chessboardGame(x, y):\\n xin = x\\n yin = y\\n\\n # These squares have no possible move, therefore, are losing;\\n # we chose these squares by sight; while loop below expands these sets\\n # until we encompass whole board\\n # it was not clear to me in the beginning that every square has a unique\\n # determinant ending under optimal play\\n losing_start = set([(1, 1), (2, 1), (1, 2), (2, 2)])\\n\\n # These squares can jump to losing_start in one move, so are winning\\n winning_start = set([(1, 3), (1, 4), (2, 3), (2, 4),\\n (3, 1), (3, 2), (3, 3), (3, 4),\\n (4, 1), (4, 2), (4, 3)])\\n\\n def nextset(x, y):\\n def isvalid(coord):\\n return True if coord[0] >= 1 and coord[1] >= 1 \\\\\\n and coord[0] <= 15 and coord[1] <= 15 else False\\n\\n nextsquares = [(x - 2, y + 1), (x - 2, y - 1), (x + 1, y - 2),\\n (x - 1, y - 2)]\\n nextsquares = set([*filter(isvalid, nextsquares)])\\n # print(nextsquares)\\n return nextsquares\\n\\n # run a few times through whole board;\\n # it takes 5 times to find a definitive win path for all 225 squares\\n # 161 squares are winning for first player\\n # 64 squares are losing starting for first player\\n test_set = [(i, j) for i in range(1, 16) for j in range(1, 16)]\\n times = 1\\n while (len(winning_start) + len(losing_start)) < 225:\\n for coords in test_set:\\n x_ = coords[0]\\n y_ = coords[1]\\n thenextset = nextset(x_, y_)\\n # print('testing', x_, y_, thenextset)\\n\\n if (x_, y_) in losing_start:\\n # print('No Path, Second wins')\\n pass\\n elif (x_, y_) in winning_start:\\n # print('One jump to terminal square, First wins')\\n pass\\n elif (len(winning_start.intersection(thenextset))\\n == len(thenextset)):\\n # if next set ONLY includes winning_starts, First loses because\\n # he has no choice but give win to opponent\\n # need to add x,y to losing_start\\n losing_start.add((x_, y_))\\n # print('we lose, Second wins')\\n elif len(losing_start.intersection(thenextset)) > 0:\\n # if next set includes ANY losing_start, we win by choosing it\\n # need to add x,y to winning_start\\n winning_start.add((x_, y_))\\n # print('First wins')\\n else:\\n # print('do not know')\\n pass\\n\\n print('Run', times, len(winning_start) + len(losing_start))\\n times += 1\\n\\n print(len(winning_start))\\n print(len(losing_start))\\n\\n # prints schematic of Winor Loss of each of 15x15 squares\\n\\n print(' '.join(map(str, [i for i in range(1, 16)])))\\n for i in range(15):\\n row = ''\\n for j in range(15):\\n if test_set[i * 15 + j] in winning_start:\\n row = row + 'W '\\n else:\\n row = row + 'L '\\n print(row + str(i))\\n\\n if (xin, yin) in winning_start:\\n print('First wins with', xin, yin)\\n return 'First'\\n else:\\n print('Second wins with', xin, yin)\\n return 'Second'\",\n \"def a_star_graph_complete(graph, start, goal, h,Ac = ActionCost, valid_action = valid_actions):\\n \\n # TODO: complete\\n queue = PriorityQueue()\\n queue.put((0, start))\\n visited = set(start)\\n\\n branch = {}\\n found = False\\n \\n while not queue.empty():\\n item = queue.get()\\n current_cost = item[0]\\n current_node = item[1]\\n\\n if current_node == goal: \\n print('Found a path.')\\n found = True\\n break\\n else:\\n for next_node in graph[current_node]:\\n cost = graph.edges[current_node, next_node]['weight']\\n new_cost = current_cost + cost + h(next_node, goal)\\n \\n if next_node not in visited: \\n visited.add(next_node) \\n queue.put((new_cost, next_node))\\n \\n branch[next_node] = (new_cost, current_node)\\n if(found):\\n path,path_cost = retrivePathWithCost(start, goal, branch)\\n else:\\n print(\\\"path Not Found\\\")\\n\\n return path,path_cost\",\n \"def breadthFirstSearch(problem):\\n \\\"*** YOUR CODE HERE ***\\\"\\n #the logic is same as for DFS just that i made use of a Queue data structure\\n #Here the queue acts as a FIFO queue\\n neighbourNodes = util.Queue()\\n moves = []\\n neighbourNodes.push((problem.getStartState(),moves))\\n seenNodes = set()\\n\\n while not neighbourNodes.isEmpty():\\n poppedNodeState, poppedNodeAction= neighbourNodes.pop()\\n if(poppedNodeState in seenNodes):\\n continue\\n if problem.isGoalState(poppedNodeState):\\n return poppedNodeAction\\n seenNodes.add(poppedNodeState)\\n for state, action, cost in problem.getSuccessors(poppedNodeState):\\n if(state in seenNodes):\\n continue\\n neighbourNodes.push((state, poppedNodeAction+[action]))\\n return moves\\n #util.raiseNotDefined()\",\n \"def board_feasible(R):\\n cur_pos = [(0, 1), (1, 7), (4, 4), (6, 0), (7, 6)]\\n for nxt_pos in R[:-2]:\\n if cur_pos and nxt_pos:\\n if not move_feasible(cur_pos, nxt_pos):\\n return False\\n cur_pos = nxt_pos\\n return True\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.60956544","0.6033427","0.5956995","0.5933056","0.5878195","0.58694607","0.5835559","0.58092266","0.578852","0.576956","0.5687345","0.5661254","0.56494594","0.5646951","0.56302994","0.56298953","0.56073564","0.560453","0.55908364","0.55840373","0.5580158","0.5574251","0.5551673","0.554467","0.5543405","0.55386066","0.5537515","0.55367434","0.5536594","0.5535744","0.55306786","0.55223095","0.55181813","0.5493987","0.548829","0.54867536","0.5476001","0.54735905","0.54694927","0.5462332","0.5454788","0.544743","0.54313344","0.5428735","0.5423537","0.54207754","0.541675","0.5413589","0.5412196","0.5411561","0.5409482","0.5406599","0.5405332","0.5390824","0.5388753","0.5385719","0.53728616","0.5369982","0.53662544","0.53660035","0.53637373","0.5355301","0.5354861","0.5352866","0.53496903","0.5346963","0.53408164","0.5331032","0.5329884","0.532534","0.53230995","0.53224075","0.53222287","0.53203964","0.5318945","0.5312274","0.53085846","0.53075415","0.530561","0.5304471","0.53001714","0.5299997","0.52925766","0.52922505","0.5290625","0.52858835","0.5275998","0.5274956","0.52716124","0.52672786","0.5265998","0.5265749","0.52639157","0.526266","0.5257538","0.52471375","0.52462316","0.524287","0.523429","0.52334106"],"string":"[\n \"0.60956544\",\n \"0.6033427\",\n \"0.5956995\",\n \"0.5933056\",\n \"0.5878195\",\n \"0.58694607\",\n \"0.5835559\",\n \"0.58092266\",\n \"0.578852\",\n \"0.576956\",\n \"0.5687345\",\n \"0.5661254\",\n \"0.56494594\",\n \"0.5646951\",\n \"0.56302994\",\n \"0.56298953\",\n \"0.56073564\",\n \"0.560453\",\n \"0.55908364\",\n \"0.55840373\",\n \"0.5580158\",\n \"0.5574251\",\n \"0.5551673\",\n \"0.554467\",\n \"0.5543405\",\n \"0.55386066\",\n \"0.5537515\",\n \"0.55367434\",\n \"0.5536594\",\n \"0.5535744\",\n \"0.55306786\",\n \"0.55223095\",\n \"0.55181813\",\n \"0.5493987\",\n \"0.548829\",\n \"0.54867536\",\n \"0.5476001\",\n \"0.54735905\",\n \"0.54694927\",\n \"0.5462332\",\n \"0.5454788\",\n \"0.544743\",\n \"0.54313344\",\n \"0.5428735\",\n \"0.5423537\",\n \"0.54207754\",\n \"0.541675\",\n \"0.5413589\",\n \"0.5412196\",\n \"0.5411561\",\n \"0.5409482\",\n \"0.5406599\",\n \"0.5405332\",\n \"0.5390824\",\n \"0.5388753\",\n \"0.5385719\",\n \"0.53728616\",\n \"0.5369982\",\n \"0.53662544\",\n \"0.53660035\",\n \"0.53637373\",\n \"0.5355301\",\n \"0.5354861\",\n \"0.5352866\",\n \"0.53496903\",\n \"0.5346963\",\n \"0.53408164\",\n \"0.5331032\",\n \"0.5329884\",\n \"0.532534\",\n \"0.53230995\",\n \"0.53224075\",\n \"0.53222287\",\n \"0.53203964\",\n \"0.5318945\",\n \"0.5312274\",\n \"0.53085846\",\n \"0.53075415\",\n \"0.530561\",\n \"0.5304471\",\n \"0.53001714\",\n \"0.5299997\",\n \"0.52925766\",\n \"0.52922505\",\n \"0.5290625\",\n \"0.52858835\",\n \"0.5275998\",\n \"0.5274956\",\n \"0.52716124\",\n \"0.52672786\",\n \"0.5265998\",\n \"0.5265749\",\n \"0.52639157\",\n \"0.526266\",\n \"0.5257538\",\n \"0.52471375\",\n \"0.52462316\",\n \"0.524287\",\n \"0.523429\",\n \"0.52334106\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.76117283"},"document_rank":{"kind":"string","value":"0"}}},{"rowIdx":86794,"cells":{"query":{"kind":"string","value":"Prompts the user to specify how long their train has been delayed."},"document":{"kind":"string","value":"def ask_previous_delay(context=None):\n\n options = [\n 'How long have you been waiting for?',\n 'How long has your train been delayed?',\n 'What\\'s the length of the delay?',\n 'How many minutes are you being delayed for?',\n ]\n\n # Check for context\n if context:\n # Check for dep_to\n if context['departing_from']:\n dep_from = context['departing_from'].title()\n options.append(\n 'How long have you been stuck in {}?'.format(dep_from))\n\n # Select a random question.\n return choice(options)"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def setdelay(self):\n delay=self.inputdelay.getEntry()\n cmd=\"setDelay(\"+self.board+','+self.inpedge+','+delay+')'\n self.vb.io.execute(cmd,log=\"out\",applout=\"<>\")","def setTimeDelay(*args):\n args[0].TimeState.TimeDelay.time_delay = args[1]","def _delay(self, n=None):","def wait(self, ms=None):\r\n raw_input(\"\\n\\nPress a key...\")","async def _wait_setheist(self, ctx, seconds: int):\r\n guild = ctx.guild\r\n config = await self.thief.get_guild_settings(guild)\r\n theme = await self.thief.config.guild(guild).Theme()\r\n t_crew = theme[\"Crew\"]\r\n\r\n if seconds > 0:\r\n config[\"Wait\"] = seconds\r\n await self.thief.config.guild(guild).Config.set(config)\r\n time_fmt = self.thief.time_format(seconds)\r\n msg = \"Setting {} gather time to {}.\".format(t_crew, time_fmt)\r\n else:\r\n msg = \"Need a number higher than 0.\"\r\n await ctx.send(msg)","def input_timeout(prompt: str, t_timeout: [float, int] = 30, default: str = None) -> str:\n print(prompt, end=\" \")\n rlist, _, _ = select.select([sys.stdin], [], [], t_timeout)\n\n if not rlist:\n if default is None:\n raise RuntimeError(f\"No input received within {t_timeout}s!\")\n else:\n return default\n\n return sys.stdin.readline().strip()","def idle_delay(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"idle_delay\")","def idle_delay(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"idle_delay\")","def Time_Delay():\n Delay=[1]\n return Delay","def do_sleep(self, args):\n\n name = pick(\"Agent\", self.model.get_agent_names())\n if name is not None:\n ticks = int(input(\"Amount of sleep?\"))\n agent = self.model.get_agent(name)\n agent.sleep(ticks)","def settimeout(self,timeout=10):\r\n # Update\r\n self.timeout = timeout","def waitenter(times=1):\n\n # For each time\n for _ in range(times):\n # Ask for user input\n input(\"\")","def main():\n\n print(\"-- Alarm --\\n\")\n\n print(\"What unit of time do you want to wait?\\n \"\n \"(1) Hours\\n \"\n \"(2) Minutes\\n \"\n \"(3) Seconds\\n \"\n \"(4) Combination\")\n value = input(\"> \")\n\n setTime(value)\n\n return","def Wait(p_question: str):\n input(p_question)\n return","def timeout_formazione(update, context):\n update.message.reply_text('La formazione va schierata entro 30 minuti antecedenti il primo anticipo di giornata. In caso di eventuali problemi contattare uno degli amministratori di lega. Qualora la formazione non venisse consegnata, verrà inserita in automatico quella schierata nella giornata precedente.')","async def tormentdelay(self, ctx, delay : int = None):\r\n\t\t\r\n\t\tchannel = ctx.message.channel\r\n\t\tauthor = ctx.message.author\r\n\t\tserver = ctx.message.guild\r\n\r\n\t\t# Only allow owner to change server stats\r\n\t\tisOwner = self.settings.isOwner(ctx.author)\r\n\t\tif isOwner == None:\r\n\t\t\treturn\r\n\t\telif isOwner == False:\r\n\t\t\treturn\r\n\t\t\r\n\t\tif delay == None:\r\n\t\t\tif self.waitBetween == 1:\r\n\t\t\t\tawait ctx.message.author.send('Current torment delay is *1 second.*')\r\n\t\t\telse:\r\n\t\t\t\tawait ctx.message.author.send('Current torment delay is *{} seconds.*'.format(self.waitBetween))\r\n\t\t\treturn\r\n\t\t\r\n\t\ttry:\r\n\t\t\tdelay = int(delay)\r\n\t\texcept Exception:\r\n\t\t\tawait ctx.message.author.send('Delay must be an int.')\r\n\t\t\treturn\r\n\t\t\r\n\t\tif delay < 1:\r\n\t\t\tawait ctx.message.author.send('Delay must be at least *1 second*.')\r\n\t\t\treturn\r\n\t\t\r\n\t\tself.waitBetween = delay\r\n\t\tif self.waitBetween == 1:\r\n\t\t\tawait ctx.message.author.send('Current torment delay is now *1 second.*')\r\n\t\telse:\r\n\t\t\tawait ctx.message.author.send('Current torment delay is now *{} seconds.*'.format(self.waitBetween))","def set_tare_var(self, tare_duration):\n self.tare_duration = tare_duration\n self.get_tare = True\n # beep and blink after 100 ms\n if self.cfg_beep_chkBox.isChecked():\n QtCore.QTimer.singleShot(100, lambda: self.worker_buzzer.long_buzz())\n if self.cfg_led_chkBox.isChecked():\n QtCore.QTimer.singleShot(100, lambda: self.worker_led.blink())","def delay():\r\n time.sleep(2)","def delay_completion(mission):\n if mission.ut() - mission.current_step[\"start_ut\"] > 5:\n vessel = mission.conn.space_center.active_vessel\n vessel.auto_pilot.disengage()\n mission.next()","def delay(ms: int, /) -> None:","def response_training_prompt(self):\n self._last_response = \"training_prompt\"\n print(\"Training Prompt\")\n self.user_stats.set_followup(self._last_worst_grip)\n return Mglove_str_gen.training_prompt(self.user_stats.get_followup())","def _computModelDelay(self):\n\n # 'delay' and 'sleepModelRange' are mutually exclusive\n if self._params['delay'] is not None \\\n and self._params['sleepModelRange'] is not None:\n raise RuntimeError(\"Only one of 'delay' or \"\n \"'sleepModelRange' may be specified\")\n\n # Get the sleepModel range\n if self._sleepModelRange is not None:\n range, delay = self._sleepModelRange.split(':')\n delay = float(delay)\n range = map(int, range.split(','))\n modelIDs = self._jobsDAO.jobGetModelIDs(self._jobID)\n modelIDs.sort()\n\n range[1] = min(range[1], len(modelIDs))\n\n # If the model is in range, add the delay\n if self._modelID in modelIDs[range[0]:range[1]]:\n self._delay = delay\n else:\n self._delay = self._params['delay']","def winner_delay(self, winner_delay):\n\n self._winner_delay = winner_delay","def train(num_days):\n if num_days >= 3:\n return \"i feel good after {} days of training\".format(num_days)\n\n return '{} time a week is not enough training for a healthy body'.format(num_days)","def time_waste(n=3):\n time.sleep(n)\n message = f'I just wasted {n} seconds of your life.'\n print(message)","def max_delay_time(self) -> Optional[pulumi.Input[int]]:\n return pulumi.get(self, \"max_delay_time\")","def max_delay_time(self) -> Optional[pulumi.Input[int]]:\n return pulumi.get(self, \"max_delay_time\")","def default_delay(self):\n return DEFAULT_DELAY","def timeout(self):\n self._status_update(\"Pyloton: Timeout\")\n time.sleep(3)","def do_pause(self, text):\n sm.input(text + '\\n')","def _delay(self, delay=None):\n return self.screen.delay(delay)","def input_description(self, bot, update):\n logger.info(\"WAITING FOR DESCRIPTION\")\n\n self.description = update.message.text\n update.message.reply_text(\"Please select a date: \",\n reply_markup=ReplyKeyboardMarkup(\n (('Now', 'Other date'),),\n one_time_keyboard=True\n ))\n return 1","def enter_long_run_data():\n print(LONG_RUN_TEXT)\n\n distance = float(input(\"How many kilometres do you run in this week?\\n>> \"))\n pace = input(\"What is your long run pace?\\n>> \")\n\n print(long_run(distance, pace))","def time(is_train):\n context = composition.Context()\n start_minutes = random.randint(1, 24*60 - 1)\n while True:\n duration_minutes = random.randint(1, 12*60 - 1)\n if train_test_split.is_train(duration_minutes) == is_train:\n break\n end_minutes = start_minutes + duration_minutes\n\n def format_12hr(minutes):\n \"\"\"Format minutes from midnight in 12 hr format.\"\"\"\n hours = (minutes // 60) % 24\n minutes %= 60\n #am_pm = 'AM' if hours < 12 else 'PM'\n #hours = (hours - 1) % 12 + 1\n return '{}:{:02}'.format(hours, minutes)\n #return '{}:{:02} {}'.format(hours, minutes, am_pm)\n\n start = format_12hr(start_minutes)\n end = format_12hr(end_minutes)\n\n which_question = random.randint(0, 3)\n if which_question == 0:\n # Question: What is start = end - duration?\n template = random.choice([\n 'Che ore sono se mancano {duration} minuti alle {end}?',\n ])\n return example.Problem(\n question=example.question(\n context, template, duration=duration_minutes, end=end),\n answer=start)\n elif which_question == 1:\n # Question: What is end = start + duration?\n template = random.choice([\n 'Che ore sono se sono passati {duration} minuti dalle {start}?',\n ])\n return example.Problem(\n question=example.question(\n context, template, duration=duration_minutes, start=start),\n answer=end)\n else:\n # Question: What is duration = end - start?\n template = random.choice([\n 'Quanti minuti ci sono tra le {start} e le {end}?',\n ])\n return example.Problem(\n question=example.question(context, template, start=start, end=end),\n answer=duration_minutes)","def tennis():\n print(\"The tennis option is a placeholder for testing. The option is not currently available. \\n\\n\")","def SetStepDelay(self,delay=200): \n self.Bus.Transaction(chr(self.Address)+chr(0x43)+chr(delay))","def logicDelayDisplay(self,message,msec=1000):\n print(message)\n self.info = qt.QDialog()\n self.infoLayout = qt.QVBoxLayout()\n self.info.setLayout(self.infoLayout)\n self.label = qt.QLabel(message,self.info)\n self.infoLayout.addWidget(self.label)\n qt.QTimer.singleShot(msec, self.info.close)\n self.info.exec_()","def setDelay(self, *args):\n return _libsbml.Event_setDelay(self, *args)","async def timein(self, ctx):\n\t\tif ctx.invoked_subcommand is None:\n\t\t\tawait send_cmd_help(ctx)","def timeout_set(self, x):\n if not self._dtr_enabled:\n self._resume_time = self.__micros() + x","def start_story():\n user = input(\"What do they call you, unworthy adversary? \")\n print()\n print(\"Welcome,\", user, \", to the labyrinth\")\n sleep(delay)\n print(\"Before you lies two paths. One path leads to treasures of unimaginable worth.\")\n print(\"The other, certain death. Choose wisely.\")\n print()\n sleep(delay * 2)\n print(\"You are in a dark cave. You can see nothing.\")\n print(\"Staying here is certainly not wise. You must find your way out.\")\n print()\n sleep(delay)\n return user","def _change_time(self):\r\n msg = \"Notice! if you don't write hours the time\\nwill be calculated as seconds.\\nEnter new time:\"\r\n new_time = simpledialog.askstring(title=\"Change recording time\", prompt=msg)\r\n\r\n # new_time has to be a digit bigger than 0\r\n while not new_time:\r\n msg = \"Time must have a value. For example: 1 hours/ 1.5 hours/ 25 seconds\"\r\n messagebox.showerror(title=\"ERROR\", message=msg)\r\n new_time = simpledialog.askstring(title=\"Change recording time\", prompt=\"Enter new time:\")\r\n if new_time:\r\n self.time.set(\"time: \" + new_time + ''.join(' ' for _ in range(42 - len(new_time))))","def default_delay(self) -> int:\n return DEFAULT_DELAY","def interface_sleeptime(sleep_time, puzzle, command_color=\"#ff8800\", arg_color=\"#5588ff\", error_color=\"#ff0000\"):\n try:\n print(puzzle.sleep_time)\n puzzle.sleep_time = float(sleep_time)\n print(puzzle.sleep_time)\n except:\n print(f\"{colored('Error:', error_color)} Given time is not a float.\")","def set_sleep_time(self, milliseconds:int):\n self.send_command(f\"configure mainLoopSleepTime {milliseconds}\")","def limit_number_prompts(state: SessionState):\n if state.prompts is not None and len(state.prompts) > 1:\n state.prompts = [state.prompts[0]]","def set_step_time(self, us):\n if us < 20: # 20 us is the shortest possible for esp8266\n self.step_time = 20\n else:\n self.step_time = us","def input_to(timeout=1): # time after which enemies move automatically\n signal.signal(signal.SIGALRM, alarmhandler)\n signal.alarm(timeout)\n try:\n text = G()\n signal.alarm(0)\n return text\n except AlarmException:\n print(\"\\n Prompt timeout. Continuing\")\n signal.signal(signal.SIGALRM, signal.SIG_IGN)\n return ''","def wait_for_input(self):\n pass","def delay(self, delay=None):\n if delay is None:\n return self._delayvalue\n self._delayvalue = int(delay)","def wait(self, th=\"100\"):\n # save and validate the parameters\n try:\n self.cfg['param'] = {'th' : int(th)}\n self.cfg.save()\n except ValueError:\n return self.error(errcode='badparams',\n errmsg=\"The parameter must be numeric.\")\n\n http.refresh(self.base_url + 'run?key=%s' % self.key)\n return self.tmpl_out(\"wait.html\")","def help_pause(self):\n help_str = \"\"\"Displays the specified text then waits for the user to press <Enter>.\n\n Usage: pause [text]\"\"\"\n self.stdout.write(\"{}\\n\".format(help_str))","def set_delay(delay):\r\n inst.write(\"PULS:DEL %f\" %(delay))","def delay(self):\n # well, so this is really bad practice\n # but since the nature of this app \n # I have to make assumptions around time..\n is_delayed_trader = self.delayed\n now = time.time()\n if not is_delayed_trader or self.message_arrival_estimate is None:\n self.message_arrival_estimate = now + self.default_delay\n delay = self.default_delay\n else:\n current_arrival_estimate = now + self.__delay\n if self.message_arrival_estimate > current_arrival_estimate:\n diff = self.message_arrival_estimate - current_arrival_estimate\n delay = diff + self.__delay\n self.message_arrival_estimate = now + delay \n else: \n self.message_arrival_estimate = current_arrival_estimate\n delay = self.__delay\n delay = round(delay, 4)\n log.debug('trader %s: message delay %s.' % (self.tag, delay))\n return delay","def percentage_increase_timeout(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"percentage_increase_timeout\")","def setTimeOut(self, timeout=6.0):\n self.timeout = timeout","def timeout(self) -> Optional[pulumi.Input[float]]:\n return pulumi.get(self, \"timeout\")","def timeout(self) -> Optional[pulumi.Input[float]]:\n return pulumi.get(self, \"timeout\")","def run_timer():\n \n start_time = time.time()\n print(start_time)\n stopper = input(\"Press enter to stop\")\n end_time = time.time()\n print(\"You have finished collecting the blocks!\")\n duration = int(end_time - start_time)\n if duration > 25:\n print(\"You were too slow collecting the blocks, better luck next time\")\n else: \n print(\"Good job speedy, you collected all the blocks before time ran out!\")","def end_story(user):\n print(\n \"Congratulations, \" + user + ', you have made it to the end of this... strange... adventure. I hope you feel accomplished.')\n print()\n print()\n print()\n sleep(delay * 5)\n print(\"Now go play again.\")","def _update(self, time_step, **train_kwargs):\n # training is implied here\n self.set_t_cutoff(self.cutoff_t + time_step, **train_kwargs)","def set_timeout(self, wait):\n self._screen.timeout(wait)","def set_timeout(self, millis):\n self.timeout = self.current_milli_time() + millis","def scale_down_delay_after_add(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"scale_down_delay_after_add\")","def submitTime(self, event):\n try:\n time = float(self.integrationTimeBox.text)\n if time == 0:\n raise ValueError('Requested integration time is invalid: \\\nthe text \"{0}\" converts to 0.')\n self.spectrometer.setIntegrationTime(time)\n plt.pause(0.3)\n self.axes.autoscale_view()\n except Exception as err:\n print(\"Error when setting integration time: \",err)\n self.integrationTimeBox.set_val(\"3\")","def control_timestep(self):\n if self._overridden_n_sub_steps is not None:\n return self.physics.timestep() * self._overridden_n_sub_steps\n else:\n return self.task.control_timestep","def sleep(self) -> Optional[pulumi.Input[int]]:\n return pulumi.get(self, \"sleep\")","def sleep(self) -> Optional[pulumi.Input[int]]:\n return pulumi.get(self, \"sleep\")","def delay(seconds):\n\n # Perform the delay\n time.sleep(seconds)","def remaining_ms():","def end_story(user):\n print(\"Congratulations, \" + user + \", you have made it to the end of this... strange... adventure. I hope you feel accomplished.\")\n print()\n print()\n print()\n sleep(delay*5)\n print(\"Now go away.\")","def lightleep(time_ms: int = None) -> None:","def getTimeDelay(*args):\n return args[0].TimeState.TimeDelay.time_delay","def delayDisplay(self,message,msec=200):\n print(message)\n self.info = qt.QDialog()\n self.infoLayout = qt.QVBoxLayout()\n self.info.setLayout(self.infoLayout)\n self.label = qt.QLabel(message,self.info)\n self.infoLayout.addWidget(self.label)\n qt.QTimer.singleShot(msec, self.info.close)\n self.info.exec_()","def send_time_length_info(self):\n min_rounds = self.min_num_turns\n wiz_time = sec_to_min_pretty(self.wizard_time_out)\n app_time = sec_to_min_pretty(self.apprentice_time_out)\n for agent in self.agents:\n message = f'This conversation continues for at least {min_rounds} rounds.\\n'\n t = wiz_time if _is_wiz(agent) else app_time\n message += (\n f'In your turn, please send your message within {t} minutes. '\n 'Otherwise you may be disqualified. '\n )\n if not _is_wiz(agent):\n message += (\n f'Note that you might have to wait up to {wiz_time} '\n 'mintes to receive a response from the other person.'\n )\n agent.observe(\n {\n 'id': constants.COORDINATOR_AGENT,\n 'text': message,\n 'episode_done': False,\n }\n )","def run(seconds=1):\n time.sleep(seconds)\n print('Slept for ',seconds,' seconds')","def set_timeout(self, timeout):\n self.timeout = timeout","async def send_timeout(self):\n\t\tsavename = str(self.ctx.message.id)\n\t\tawait self.ctx.send(\n\t\t\t'You did not respond in time.\\n'\n\t\t\tf'Your game was saved to `{savename}`.\\n'\n\t\t\tf'You can load your save with `{self.ctx.prefix}monopoly {savename}`.'\n\t\t)\n\t\tasync with self.cog.config.guild(self.ctx.guild).saves() as saves:\n\t\t\tsaves[savename] = self.autosave","def wait_for_user_input():\n\n input(\"Pulse ENTER para continuar...\")","def __init__(self, delay=0):\n self.delay = delay","def choose_to_stop_early(self):\n # return self.cumulated_num_tests > 10 # Limit to make 10 predictions\n # return np.random.rand() < self.early_stop_proba\n batch_size = 30 # See ingestion program: D_train.init(batch_size=30, repeat=True)\n num_examples = self.metadata_.size()\n num_epochs = self.cumulated_num_steps * batch_size / num_examples\n return num_epochs > self.num_epochs_we_want_to_train # Train for certain number of epochs then stop","def scale_down_delay_after_failure(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"scale_down_delay_after_failure\")","def timeout(self) -> Optional[pulumi.Input[int]]:\n return pulumi.get(self, \"timeout\")","def timeout(self) -> Optional[pulumi.Input[int]]:\n return pulumi.get(self, \"timeout\")","def timeout(self) -> Optional[pulumi.Input[int]]:\n return pulumi.get(self, \"timeout\")","def timeout(self) -> Optional[pulumi.Input[int]]:\n return pulumi.get(self, \"timeout\")","def prompt():\n\n\t# Inform the user on what price data has been taken\n\tprint(\"\\nCurrent available historical data for calibration: \")\n\tdata_files = listdir('call_data/')\n\tfor i in range(len(data_files)):\n\t\tprint(data_files[i])\n\t# Ask the user if they would like to sample more points\n\tdone = False\n\twhile done != True:\n\t\tinp = input(\"\\nWould you like to sample more historical price data? (y/n) \")\n\t\ttry:\n\t\t\tif inp.lower() == 'y':\n\t\t\t\tsample_calls.random_calls()\n\t\t\tif inp.lower() == 'n':\n\t\t\t\tprint(\"Continuing to analysis.\\n\")\n\t\t\t\tdone = True\n\t\t\telse:\n\t\t\t\tprint(\"Invalid input.\")\n\t\texcept ValueError:\n\t\t\tprint(\"\\nUnable to interpret input. Please try again.\")","def countdown(self, amt=1):\n pass","def on_resp_change(resp, newtext):\n\n prompt.process(newtext)\n\n # Start timing on first input\n if prompt.timeStart is None:\n prompt.timeStart = datetime.datetime.now()\n\n # Update WPM\n wpm.set_text(\"Words Per Minute: \" + prompt.wpm_update())\n\n # Update progress bar\n progress.set_completion(len(prompt.com))\n progressText.set_text(\"Progress: \" + str(progress.get_text()))","def set_delay_ns(delay):\r\n inst.write(\"PULS:DEL %f NS\" %(delay))","async def _sentence_setheist(self, ctx, seconds: int):\r\n guild = ctx.guild\r\n config = await self.thief.get_guild_settings(guild)\r\n theme = await self.thief.config.guild(guild).Theme()\r\n t_jail = theme[\"Jail\"]\r\n t_sentence =theme[\"Sentence\"]\r\n\r\n if seconds > 0:\r\n config[\"Sentence\"] = seconds\r\n await self.thief.config.guild(guild).Config.set(config)\r\n time_fmt = self.thief.time_format(seconds)\r\n msg = \"Setting base {} {} to {}.\".format(t_jail, t_sentence, time_fmt)\r\n else:\r\n msg = \"Need a number higher than 0.\"\r\n await ctx.send(msg)","def latency(context: CallbackContext):\n data = context.job.context\n\n # Prevent answer trigger\n data['context'].chat_data['solution'] = ''\n\n # Set time delay to prevent job duplication\n context.job_queue.run_once(no_answer, 1, context=data, name=str(data['chat_id']))\n\n return RUNNING_QUIZ","def testTooLong(self, dry_run=False):\n\n\t\twg = waveform.Generator(frequency=Quantity(1, 'GHz'), dry_run=dry_run)\n\n\t\twg.delay(Quantity(1, 'ns'))\n\t\twg.delay(Quantity(1, 'us'))\n\t\twg.delay(Quantity(1, 'ms'))\n\t\tassert_raises(ValueError, wg.delay, Quantity(0.01, 's'))","def delayDisplay(self,message,msec=1000):\n print(message)\n self.info = qt.QDialog()\n self.infoLayout = qt.QVBoxLayout()\n self.info.setLayout(self.infoLayout)\n self.label = qt.QLabel(message,self.info)\n self.infoLayout.addWidget(self.label)\n qt.QTimer.singleShot(msec, self.info.close)\n self.info.exec_()","def delayDisplay(self,message,msec=1000):\n print(message)\n self.info = qt.QDialog()\n self.infoLayout = qt.QVBoxLayout()\n self.info.setLayout(self.infoLayout)\n self.label = qt.QLabel(message,self.info)\n self.infoLayout.addWidget(self.label)\n qt.QTimer.singleShot(msec, self.info.close)\n self.info.exec_()","def intro():\n user = input(\"What do they call you, unworthy adversary? \")\n print()\n print(\"Welcome,\", user, \", to the labyrinth\")\n sleep(delay)\n print(\"Before you lies two paths. One path leads to treasures of unimaginable worth.\")\n print(\"The other, certain death. Choose wisely.\")\n print()\n sleep(delay * 2)\n print(\"You are in a dark cave. You can see nothing.\")\n print(\"Staying here is certainly not wise. You must find your way out.\")\n print()\n sleep(delay)\n return user","def test_delay(self):\n model = BDF(debug=False)\n node1, c1, t1 = 100, 3, 0.3\n node2, c2, t2 = 101, 4, 0.4\n sid = 42\n card_lines = ['DELAY', sid, node1, c1, t1, node2, c2, t2]\n model.add_card(card_lines, card_lines[0], comment='', is_list=True,\n has_none=True)\n model.add_grid(100, [0., 0., 0.])\n model.add_grid(101, [0., 0., 0.])\n model.validate()\n model.cross_reference()\n #print(model.delays[42])\n save_load_deck(model)","def set_takeoff_time(input_list):\n print(\"========================Start of set_takeoff_time() Method *\")\n if len(input_list) > 0: # if list is not empty\n input_list[0].set_actualStart(max(int(input_list[0].get_actualStart()), int(input_list[0].get_reqStart())))\n\n for i in range(1, len(input_list)): # from 2nd item onwards\n wait_period = input_list[i - 1].get_actualStart() + (int(input_list[i - 1].get_reqDuration()))\n input_list[i].set_actualStart(wait_period)\n \n for j in range(len(input_list)):\n input_list[j].set_actualEnd(\n (int(input_list[j].get_reqDuration())+int(input_list[j].get_actualStart())))\n \n print(\"========================finished calc take-off times *\")\n # Testing if we have adjusted actual takeoff start and end times for each flight\n Airport_Driver.display_contents(input_list)\n print(\"========================End of set_takeoff_time() Method *\")\n return input_list","def _paused(self):\n self._last = self._touch\n m = 'You have '+`self._game.getPlayerLives()`+' lives remaining.\\nClick to continue'\n f = 25\n self._click()\n if self._last is None and self._touch is not None:\n self._state = STATE_COUNTDOWN\n self._game.resetBall()\n self._game.resetPaddle()\n m = ''\n self._last = self._touch\n self._countdownTime = 0\n self._countdownMessage = GLabel(text='3', font_size=40,x=GAME_WIDTH / 2.0,\n y=GAME_HEIGHT*(2.0/3.0), halign='center',\n valign='middle', linecolor=colormodel.WHITE)\n self._pausedMessage = GLabel(text=m,font_size=f,x=GAME_WIDTH / 2.0,\n y=GAME_HEIGHT*(2.0/3.0), halign='center',\n valign='middle', linecolor=colormodel.WHITE)","def delayDisplay(self,message,msec=1000):\n print(message)\n self.info = qt.QDialog()\n self.infoLayout = qt.QVBoxLayout()\n self.info.setLayout(self.infoLayout)\n self.label = qt.QLabel(message,self.info)\n self.infoLayout.addWidget(self.label)\n qt.QTimer.singleShot(msec, self.info.close)\n self.info.exec_()"],"string":"[\n \"def setdelay(self):\\n delay=self.inputdelay.getEntry()\\n cmd=\\\"setDelay(\\\"+self.board+','+self.inpedge+','+delay+')'\\n self.vb.io.execute(cmd,log=\\\"out\\\",applout=\\\"<>\\\")\",\n \"def setTimeDelay(*args):\\n args[0].TimeState.TimeDelay.time_delay = args[1]\",\n \"def _delay(self, n=None):\",\n \"def wait(self, ms=None):\\r\\n raw_input(\\\"\\\\n\\\\nPress a key...\\\")\",\n \"async def _wait_setheist(self, ctx, seconds: int):\\r\\n guild = ctx.guild\\r\\n config = await self.thief.get_guild_settings(guild)\\r\\n theme = await self.thief.config.guild(guild).Theme()\\r\\n t_crew = theme[\\\"Crew\\\"]\\r\\n\\r\\n if seconds > 0:\\r\\n config[\\\"Wait\\\"] = seconds\\r\\n await self.thief.config.guild(guild).Config.set(config)\\r\\n time_fmt = self.thief.time_format(seconds)\\r\\n msg = \\\"Setting {} gather time to {}.\\\".format(t_crew, time_fmt)\\r\\n else:\\r\\n msg = \\\"Need a number higher than 0.\\\"\\r\\n await ctx.send(msg)\",\n \"def input_timeout(prompt: str, t_timeout: [float, int] = 30, default: str = None) -> str:\\n print(prompt, end=\\\" \\\")\\n rlist, _, _ = select.select([sys.stdin], [], [], t_timeout)\\n\\n if not rlist:\\n if default is None:\\n raise RuntimeError(f\\\"No input received within {t_timeout}s!\\\")\\n else:\\n return default\\n\\n return sys.stdin.readline().strip()\",\n \"def idle_delay(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"idle_delay\\\")\",\n \"def idle_delay(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"idle_delay\\\")\",\n \"def Time_Delay():\\n Delay=[1]\\n return Delay\",\n \"def do_sleep(self, args):\\n\\n name = pick(\\\"Agent\\\", self.model.get_agent_names())\\n if name is not None:\\n ticks = int(input(\\\"Amount of sleep?\\\"))\\n agent = self.model.get_agent(name)\\n agent.sleep(ticks)\",\n \"def settimeout(self,timeout=10):\\r\\n # Update\\r\\n self.timeout = timeout\",\n \"def waitenter(times=1):\\n\\n # For each time\\n for _ in range(times):\\n # Ask for user input\\n input(\\\"\\\")\",\n \"def main():\\n\\n print(\\\"-- Alarm --\\\\n\\\")\\n\\n print(\\\"What unit of time do you want to wait?\\\\n \\\"\\n \\\"(1) Hours\\\\n \\\"\\n \\\"(2) Minutes\\\\n \\\"\\n \\\"(3) Seconds\\\\n \\\"\\n \\\"(4) Combination\\\")\\n value = input(\\\"> \\\")\\n\\n setTime(value)\\n\\n return\",\n \"def Wait(p_question: str):\\n input(p_question)\\n return\",\n \"def timeout_formazione(update, context):\\n update.message.reply_text('La formazione va schierata entro 30 minuti antecedenti il primo anticipo di giornata. In caso di eventuali problemi contattare uno degli amministratori di lega. Qualora la formazione non venisse consegnata, verrà inserita in automatico quella schierata nella giornata precedente.')\",\n \"async def tormentdelay(self, ctx, delay : int = None):\\r\\n\\t\\t\\r\\n\\t\\tchannel = ctx.message.channel\\r\\n\\t\\tauthor = ctx.message.author\\r\\n\\t\\tserver = ctx.message.guild\\r\\n\\r\\n\\t\\t# Only allow owner to change server stats\\r\\n\\t\\tisOwner = self.settings.isOwner(ctx.author)\\r\\n\\t\\tif isOwner == None:\\r\\n\\t\\t\\treturn\\r\\n\\t\\telif isOwner == False:\\r\\n\\t\\t\\treturn\\r\\n\\t\\t\\r\\n\\t\\tif delay == None:\\r\\n\\t\\t\\tif self.waitBetween == 1:\\r\\n\\t\\t\\t\\tawait ctx.message.author.send('Current torment delay is *1 second.*')\\r\\n\\t\\t\\telse:\\r\\n\\t\\t\\t\\tawait ctx.message.author.send('Current torment delay is *{} seconds.*'.format(self.waitBetween))\\r\\n\\t\\t\\treturn\\r\\n\\t\\t\\r\\n\\t\\ttry:\\r\\n\\t\\t\\tdelay = int(delay)\\r\\n\\t\\texcept Exception:\\r\\n\\t\\t\\tawait ctx.message.author.send('Delay must be an int.')\\r\\n\\t\\t\\treturn\\r\\n\\t\\t\\r\\n\\t\\tif delay < 1:\\r\\n\\t\\t\\tawait ctx.message.author.send('Delay must be at least *1 second*.')\\r\\n\\t\\t\\treturn\\r\\n\\t\\t\\r\\n\\t\\tself.waitBetween = delay\\r\\n\\t\\tif self.waitBetween == 1:\\r\\n\\t\\t\\tawait ctx.message.author.send('Current torment delay is now *1 second.*')\\r\\n\\t\\telse:\\r\\n\\t\\t\\tawait ctx.message.author.send('Current torment delay is now *{} seconds.*'.format(self.waitBetween))\",\n \"def set_tare_var(self, tare_duration):\\n self.tare_duration = tare_duration\\n self.get_tare = True\\n # beep and blink after 100 ms\\n if self.cfg_beep_chkBox.isChecked():\\n QtCore.QTimer.singleShot(100, lambda: self.worker_buzzer.long_buzz())\\n if self.cfg_led_chkBox.isChecked():\\n QtCore.QTimer.singleShot(100, lambda: self.worker_led.blink())\",\n \"def delay():\\r\\n time.sleep(2)\",\n \"def delay_completion(mission):\\n if mission.ut() - mission.current_step[\\\"start_ut\\\"] > 5:\\n vessel = mission.conn.space_center.active_vessel\\n vessel.auto_pilot.disengage()\\n mission.next()\",\n \"def delay(ms: int, /) -> None:\",\n \"def response_training_prompt(self):\\n self._last_response = \\\"training_prompt\\\"\\n print(\\\"Training Prompt\\\")\\n self.user_stats.set_followup(self._last_worst_grip)\\n return Mglove_str_gen.training_prompt(self.user_stats.get_followup())\",\n \"def _computModelDelay(self):\\n\\n # 'delay' and 'sleepModelRange' are mutually exclusive\\n if self._params['delay'] is not None \\\\\\n and self._params['sleepModelRange'] is not None:\\n raise RuntimeError(\\\"Only one of 'delay' or \\\"\\n \\\"'sleepModelRange' may be specified\\\")\\n\\n # Get the sleepModel range\\n if self._sleepModelRange is not None:\\n range, delay = self._sleepModelRange.split(':')\\n delay = float(delay)\\n range = map(int, range.split(','))\\n modelIDs = self._jobsDAO.jobGetModelIDs(self._jobID)\\n modelIDs.sort()\\n\\n range[1] = min(range[1], len(modelIDs))\\n\\n # If the model is in range, add the delay\\n if self._modelID in modelIDs[range[0]:range[1]]:\\n self._delay = delay\\n else:\\n self._delay = self._params['delay']\",\n \"def winner_delay(self, winner_delay):\\n\\n self._winner_delay = winner_delay\",\n \"def train(num_days):\\n if num_days >= 3:\\n return \\\"i feel good after {} days of training\\\".format(num_days)\\n\\n return '{} time a week is not enough training for a healthy body'.format(num_days)\",\n \"def time_waste(n=3):\\n time.sleep(n)\\n message = f'I just wasted {n} seconds of your life.'\\n print(message)\",\n \"def max_delay_time(self) -> Optional[pulumi.Input[int]]:\\n return pulumi.get(self, \\\"max_delay_time\\\")\",\n \"def max_delay_time(self) -> Optional[pulumi.Input[int]]:\\n return pulumi.get(self, \\\"max_delay_time\\\")\",\n \"def default_delay(self):\\n return DEFAULT_DELAY\",\n \"def timeout(self):\\n self._status_update(\\\"Pyloton: Timeout\\\")\\n time.sleep(3)\",\n \"def do_pause(self, text):\\n sm.input(text + '\\\\n')\",\n \"def _delay(self, delay=None):\\n return self.screen.delay(delay)\",\n \"def input_description(self, bot, update):\\n logger.info(\\\"WAITING FOR DESCRIPTION\\\")\\n\\n self.description = update.message.text\\n update.message.reply_text(\\\"Please select a date: \\\",\\n reply_markup=ReplyKeyboardMarkup(\\n (('Now', 'Other date'),),\\n one_time_keyboard=True\\n ))\\n return 1\",\n \"def enter_long_run_data():\\n print(LONG_RUN_TEXT)\\n\\n distance = float(input(\\\"How many kilometres do you run in this week?\\\\n>> \\\"))\\n pace = input(\\\"What is your long run pace?\\\\n>> \\\")\\n\\n print(long_run(distance, pace))\",\n \"def time(is_train):\\n context = composition.Context()\\n start_minutes = random.randint(1, 24*60 - 1)\\n while True:\\n duration_minutes = random.randint(1, 12*60 - 1)\\n if train_test_split.is_train(duration_minutes) == is_train:\\n break\\n end_minutes = start_minutes + duration_minutes\\n\\n def format_12hr(minutes):\\n \\\"\\\"\\\"Format minutes from midnight in 12 hr format.\\\"\\\"\\\"\\n hours = (minutes // 60) % 24\\n minutes %= 60\\n #am_pm = 'AM' if hours < 12 else 'PM'\\n #hours = (hours - 1) % 12 + 1\\n return '{}:{:02}'.format(hours, minutes)\\n #return '{}:{:02} {}'.format(hours, minutes, am_pm)\\n\\n start = format_12hr(start_minutes)\\n end = format_12hr(end_minutes)\\n\\n which_question = random.randint(0, 3)\\n if which_question == 0:\\n # Question: What is start = end - duration?\\n template = random.choice([\\n 'Che ore sono se mancano {duration} minuti alle {end}?',\\n ])\\n return example.Problem(\\n question=example.question(\\n context, template, duration=duration_minutes, end=end),\\n answer=start)\\n elif which_question == 1:\\n # Question: What is end = start + duration?\\n template = random.choice([\\n 'Che ore sono se sono passati {duration} minuti dalle {start}?',\\n ])\\n return example.Problem(\\n question=example.question(\\n context, template, duration=duration_minutes, start=start),\\n answer=end)\\n else:\\n # Question: What is duration = end - start?\\n template = random.choice([\\n 'Quanti minuti ci sono tra le {start} e le {end}?',\\n ])\\n return example.Problem(\\n question=example.question(context, template, start=start, end=end),\\n answer=duration_minutes)\",\n \"def tennis():\\n print(\\\"The tennis option is a placeholder for testing. The option is not currently available. \\\\n\\\\n\\\")\",\n \"def SetStepDelay(self,delay=200): \\n self.Bus.Transaction(chr(self.Address)+chr(0x43)+chr(delay))\",\n \"def logicDelayDisplay(self,message,msec=1000):\\n print(message)\\n self.info = qt.QDialog()\\n self.infoLayout = qt.QVBoxLayout()\\n self.info.setLayout(self.infoLayout)\\n self.label = qt.QLabel(message,self.info)\\n self.infoLayout.addWidget(self.label)\\n qt.QTimer.singleShot(msec, self.info.close)\\n self.info.exec_()\",\n \"def setDelay(self, *args):\\n return _libsbml.Event_setDelay(self, *args)\",\n \"async def timein(self, ctx):\\n\\t\\tif ctx.invoked_subcommand is None:\\n\\t\\t\\tawait send_cmd_help(ctx)\",\n \"def timeout_set(self, x):\\n if not self._dtr_enabled:\\n self._resume_time = self.__micros() + x\",\n \"def start_story():\\n user = input(\\\"What do they call you, unworthy adversary? \\\")\\n print()\\n print(\\\"Welcome,\\\", user, \\\", to the labyrinth\\\")\\n sleep(delay)\\n print(\\\"Before you lies two paths. One path leads to treasures of unimaginable worth.\\\")\\n print(\\\"The other, certain death. Choose wisely.\\\")\\n print()\\n sleep(delay * 2)\\n print(\\\"You are in a dark cave. You can see nothing.\\\")\\n print(\\\"Staying here is certainly not wise. You must find your way out.\\\")\\n print()\\n sleep(delay)\\n return user\",\n \"def _change_time(self):\\r\\n msg = \\\"Notice! if you don't write hours the time\\\\nwill be calculated as seconds.\\\\nEnter new time:\\\"\\r\\n new_time = simpledialog.askstring(title=\\\"Change recording time\\\", prompt=msg)\\r\\n\\r\\n # new_time has to be a digit bigger than 0\\r\\n while not new_time:\\r\\n msg = \\\"Time must have a value. For example: 1 hours/ 1.5 hours/ 25 seconds\\\"\\r\\n messagebox.showerror(title=\\\"ERROR\\\", message=msg)\\r\\n new_time = simpledialog.askstring(title=\\\"Change recording time\\\", prompt=\\\"Enter new time:\\\")\\r\\n if new_time:\\r\\n self.time.set(\\\"time: \\\" + new_time + ''.join(' ' for _ in range(42 - len(new_time))))\",\n \"def default_delay(self) -> int:\\n return DEFAULT_DELAY\",\n \"def interface_sleeptime(sleep_time, puzzle, command_color=\\\"#ff8800\\\", arg_color=\\\"#5588ff\\\", error_color=\\\"#ff0000\\\"):\\n try:\\n print(puzzle.sleep_time)\\n puzzle.sleep_time = float(sleep_time)\\n print(puzzle.sleep_time)\\n except:\\n print(f\\\"{colored('Error:', error_color)} Given time is not a float.\\\")\",\n \"def set_sleep_time(self, milliseconds:int):\\n self.send_command(f\\\"configure mainLoopSleepTime {milliseconds}\\\")\",\n \"def limit_number_prompts(state: SessionState):\\n if state.prompts is not None and len(state.prompts) > 1:\\n state.prompts = [state.prompts[0]]\",\n \"def set_step_time(self, us):\\n if us < 20: # 20 us is the shortest possible for esp8266\\n self.step_time = 20\\n else:\\n self.step_time = us\",\n \"def input_to(timeout=1): # time after which enemies move automatically\\n signal.signal(signal.SIGALRM, alarmhandler)\\n signal.alarm(timeout)\\n try:\\n text = G()\\n signal.alarm(0)\\n return text\\n except AlarmException:\\n print(\\\"\\\\n Prompt timeout. Continuing\\\")\\n signal.signal(signal.SIGALRM, signal.SIG_IGN)\\n return ''\",\n \"def wait_for_input(self):\\n pass\",\n \"def delay(self, delay=None):\\n if delay is None:\\n return self._delayvalue\\n self._delayvalue = int(delay)\",\n \"def wait(self, th=\\\"100\\\"):\\n # save and validate the parameters\\n try:\\n self.cfg['param'] = {'th' : int(th)}\\n self.cfg.save()\\n except ValueError:\\n return self.error(errcode='badparams',\\n errmsg=\\\"The parameter must be numeric.\\\")\\n\\n http.refresh(self.base_url + 'run?key=%s' % self.key)\\n return self.tmpl_out(\\\"wait.html\\\")\",\n \"def help_pause(self):\\n help_str = \\\"\\\"\\\"Displays the specified text then waits for the user to press <Enter>.\\n\\n Usage: pause [text]\\\"\\\"\\\"\\n self.stdout.write(\\\"{}\\\\n\\\".format(help_str))\",\n \"def set_delay(delay):\\r\\n inst.write(\\\"PULS:DEL %f\\\" %(delay))\",\n \"def delay(self):\\n # well, so this is really bad practice\\n # but since the nature of this app \\n # I have to make assumptions around time..\\n is_delayed_trader = self.delayed\\n now = time.time()\\n if not is_delayed_trader or self.message_arrival_estimate is None:\\n self.message_arrival_estimate = now + self.default_delay\\n delay = self.default_delay\\n else:\\n current_arrival_estimate = now + self.__delay\\n if self.message_arrival_estimate > current_arrival_estimate:\\n diff = self.message_arrival_estimate - current_arrival_estimate\\n delay = diff + self.__delay\\n self.message_arrival_estimate = now + delay \\n else: \\n self.message_arrival_estimate = current_arrival_estimate\\n delay = self.__delay\\n delay = round(delay, 4)\\n log.debug('trader %s: message delay %s.' % (self.tag, delay))\\n return delay\",\n \"def percentage_increase_timeout(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"percentage_increase_timeout\\\")\",\n \"def setTimeOut(self, timeout=6.0):\\n self.timeout = timeout\",\n \"def timeout(self) -> Optional[pulumi.Input[float]]:\\n return pulumi.get(self, \\\"timeout\\\")\",\n \"def timeout(self) -> Optional[pulumi.Input[float]]:\\n return pulumi.get(self, \\\"timeout\\\")\",\n \"def run_timer():\\n \\n start_time = time.time()\\n print(start_time)\\n stopper = input(\\\"Press enter to stop\\\")\\n end_time = time.time()\\n print(\\\"You have finished collecting the blocks!\\\")\\n duration = int(end_time - start_time)\\n if duration > 25:\\n print(\\\"You were too slow collecting the blocks, better luck next time\\\")\\n else: \\n print(\\\"Good job speedy, you collected all the blocks before time ran out!\\\")\",\n \"def end_story(user):\\n print(\\n \\\"Congratulations, \\\" + user + ', you have made it to the end of this... strange... adventure. I hope you feel accomplished.')\\n print()\\n print()\\n print()\\n sleep(delay * 5)\\n print(\\\"Now go play again.\\\")\",\n \"def _update(self, time_step, **train_kwargs):\\n # training is implied here\\n self.set_t_cutoff(self.cutoff_t + time_step, **train_kwargs)\",\n \"def set_timeout(self, wait):\\n self._screen.timeout(wait)\",\n \"def set_timeout(self, millis):\\n self.timeout = self.current_milli_time() + millis\",\n \"def scale_down_delay_after_add(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"scale_down_delay_after_add\\\")\",\n \"def submitTime(self, event):\\n try:\\n time = float(self.integrationTimeBox.text)\\n if time == 0:\\n raise ValueError('Requested integration time is invalid: \\\\\\nthe text \\\"{0}\\\" converts to 0.')\\n self.spectrometer.setIntegrationTime(time)\\n plt.pause(0.3)\\n self.axes.autoscale_view()\\n except Exception as err:\\n print(\\\"Error when setting integration time: \\\",err)\\n self.integrationTimeBox.set_val(\\\"3\\\")\",\n \"def control_timestep(self):\\n if self._overridden_n_sub_steps is not None:\\n return self.physics.timestep() * self._overridden_n_sub_steps\\n else:\\n return self.task.control_timestep\",\n \"def sleep(self) -> Optional[pulumi.Input[int]]:\\n return pulumi.get(self, \\\"sleep\\\")\",\n \"def sleep(self) -> Optional[pulumi.Input[int]]:\\n return pulumi.get(self, \\\"sleep\\\")\",\n \"def delay(seconds):\\n\\n # Perform the delay\\n time.sleep(seconds)\",\n \"def remaining_ms():\",\n \"def end_story(user):\\n print(\\\"Congratulations, \\\" + user + \\\", you have made it to the end of this... strange... adventure. I hope you feel accomplished.\\\")\\n print()\\n print()\\n print()\\n sleep(delay*5)\\n print(\\\"Now go away.\\\")\",\n \"def lightleep(time_ms: int = None) -> None:\",\n \"def getTimeDelay(*args):\\n return args[0].TimeState.TimeDelay.time_delay\",\n \"def delayDisplay(self,message,msec=200):\\n print(message)\\n self.info = qt.QDialog()\\n self.infoLayout = qt.QVBoxLayout()\\n self.info.setLayout(self.infoLayout)\\n self.label = qt.QLabel(message,self.info)\\n self.infoLayout.addWidget(self.label)\\n qt.QTimer.singleShot(msec, self.info.close)\\n self.info.exec_()\",\n \"def send_time_length_info(self):\\n min_rounds = self.min_num_turns\\n wiz_time = sec_to_min_pretty(self.wizard_time_out)\\n app_time = sec_to_min_pretty(self.apprentice_time_out)\\n for agent in self.agents:\\n message = f'This conversation continues for at least {min_rounds} rounds.\\\\n'\\n t = wiz_time if _is_wiz(agent) else app_time\\n message += (\\n f'In your turn, please send your message within {t} minutes. '\\n 'Otherwise you may be disqualified. '\\n )\\n if not _is_wiz(agent):\\n message += (\\n f'Note that you might have to wait up to {wiz_time} '\\n 'mintes to receive a response from the other person.'\\n )\\n agent.observe(\\n {\\n 'id': constants.COORDINATOR_AGENT,\\n 'text': message,\\n 'episode_done': False,\\n }\\n )\",\n \"def run(seconds=1):\\n time.sleep(seconds)\\n print('Slept for ',seconds,' seconds')\",\n \"def set_timeout(self, timeout):\\n self.timeout = timeout\",\n \"async def send_timeout(self):\\n\\t\\tsavename = str(self.ctx.message.id)\\n\\t\\tawait self.ctx.send(\\n\\t\\t\\t'You did not respond in time.\\\\n'\\n\\t\\t\\tf'Your game was saved to `{savename}`.\\\\n'\\n\\t\\t\\tf'You can load your save with `{self.ctx.prefix}monopoly {savename}`.'\\n\\t\\t)\\n\\t\\tasync with self.cog.config.guild(self.ctx.guild).saves() as saves:\\n\\t\\t\\tsaves[savename] = self.autosave\",\n \"def wait_for_user_input():\\n\\n input(\\\"Pulse ENTER para continuar...\\\")\",\n \"def __init__(self, delay=0):\\n self.delay = delay\",\n \"def choose_to_stop_early(self):\\n # return self.cumulated_num_tests > 10 # Limit to make 10 predictions\\n # return np.random.rand() < self.early_stop_proba\\n batch_size = 30 # See ingestion program: D_train.init(batch_size=30, repeat=True)\\n num_examples = self.metadata_.size()\\n num_epochs = self.cumulated_num_steps * batch_size / num_examples\\n return num_epochs > self.num_epochs_we_want_to_train # Train for certain number of epochs then stop\",\n \"def scale_down_delay_after_failure(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"scale_down_delay_after_failure\\\")\",\n \"def timeout(self) -> Optional[pulumi.Input[int]]:\\n return pulumi.get(self, \\\"timeout\\\")\",\n \"def timeout(self) -> Optional[pulumi.Input[int]]:\\n return pulumi.get(self, \\\"timeout\\\")\",\n \"def timeout(self) -> Optional[pulumi.Input[int]]:\\n return pulumi.get(self, \\\"timeout\\\")\",\n \"def timeout(self) -> Optional[pulumi.Input[int]]:\\n return pulumi.get(self, \\\"timeout\\\")\",\n \"def prompt():\\n\\n\\t# Inform the user on what price data has been taken\\n\\tprint(\\\"\\\\nCurrent available historical data for calibration: \\\")\\n\\tdata_files = listdir('call_data/')\\n\\tfor i in range(len(data_files)):\\n\\t\\tprint(data_files[i])\\n\\t# Ask the user if they would like to sample more points\\n\\tdone = False\\n\\twhile done != True:\\n\\t\\tinp = input(\\\"\\\\nWould you like to sample more historical price data? (y/n) \\\")\\n\\t\\ttry:\\n\\t\\t\\tif inp.lower() == 'y':\\n\\t\\t\\t\\tsample_calls.random_calls()\\n\\t\\t\\tif inp.lower() == 'n':\\n\\t\\t\\t\\tprint(\\\"Continuing to analysis.\\\\n\\\")\\n\\t\\t\\t\\tdone = True\\n\\t\\t\\telse:\\n\\t\\t\\t\\tprint(\\\"Invalid input.\\\")\\n\\t\\texcept ValueError:\\n\\t\\t\\tprint(\\\"\\\\nUnable to interpret input. Please try again.\\\")\",\n \"def countdown(self, amt=1):\\n pass\",\n \"def on_resp_change(resp, newtext):\\n\\n prompt.process(newtext)\\n\\n # Start timing on first input\\n if prompt.timeStart is None:\\n prompt.timeStart = datetime.datetime.now()\\n\\n # Update WPM\\n wpm.set_text(\\\"Words Per Minute: \\\" + prompt.wpm_update())\\n\\n # Update progress bar\\n progress.set_completion(len(prompt.com))\\n progressText.set_text(\\\"Progress: \\\" + str(progress.get_text()))\",\n \"def set_delay_ns(delay):\\r\\n inst.write(\\\"PULS:DEL %f NS\\\" %(delay))\",\n \"async def _sentence_setheist(self, ctx, seconds: int):\\r\\n guild = ctx.guild\\r\\n config = await self.thief.get_guild_settings(guild)\\r\\n theme = await self.thief.config.guild(guild).Theme()\\r\\n t_jail = theme[\\\"Jail\\\"]\\r\\n t_sentence =theme[\\\"Sentence\\\"]\\r\\n\\r\\n if seconds > 0:\\r\\n config[\\\"Sentence\\\"] = seconds\\r\\n await self.thief.config.guild(guild).Config.set(config)\\r\\n time_fmt = self.thief.time_format(seconds)\\r\\n msg = \\\"Setting base {} {} to {}.\\\".format(t_jail, t_sentence, time_fmt)\\r\\n else:\\r\\n msg = \\\"Need a number higher than 0.\\\"\\r\\n await ctx.send(msg)\",\n \"def latency(context: CallbackContext):\\n data = context.job.context\\n\\n # Prevent answer trigger\\n data['context'].chat_data['solution'] = ''\\n\\n # Set time delay to prevent job duplication\\n context.job_queue.run_once(no_answer, 1, context=data, name=str(data['chat_id']))\\n\\n return RUNNING_QUIZ\",\n \"def testTooLong(self, dry_run=False):\\n\\n\\t\\twg = waveform.Generator(frequency=Quantity(1, 'GHz'), dry_run=dry_run)\\n\\n\\t\\twg.delay(Quantity(1, 'ns'))\\n\\t\\twg.delay(Quantity(1, 'us'))\\n\\t\\twg.delay(Quantity(1, 'ms'))\\n\\t\\tassert_raises(ValueError, wg.delay, Quantity(0.01, 's'))\",\n \"def delayDisplay(self,message,msec=1000):\\n print(message)\\n self.info = qt.QDialog()\\n self.infoLayout = qt.QVBoxLayout()\\n self.info.setLayout(self.infoLayout)\\n self.label = qt.QLabel(message,self.info)\\n self.infoLayout.addWidget(self.label)\\n qt.QTimer.singleShot(msec, self.info.close)\\n self.info.exec_()\",\n \"def delayDisplay(self,message,msec=1000):\\n print(message)\\n self.info = qt.QDialog()\\n self.infoLayout = qt.QVBoxLayout()\\n self.info.setLayout(self.infoLayout)\\n self.label = qt.QLabel(message,self.info)\\n self.infoLayout.addWidget(self.label)\\n qt.QTimer.singleShot(msec, self.info.close)\\n self.info.exec_()\",\n \"def intro():\\n user = input(\\\"What do they call you, unworthy adversary? \\\")\\n print()\\n print(\\\"Welcome,\\\", user, \\\", to the labyrinth\\\")\\n sleep(delay)\\n print(\\\"Before you lies two paths. One path leads to treasures of unimaginable worth.\\\")\\n print(\\\"The other, certain death. Choose wisely.\\\")\\n print()\\n sleep(delay * 2)\\n print(\\\"You are in a dark cave. You can see nothing.\\\")\\n print(\\\"Staying here is certainly not wise. You must find your way out.\\\")\\n print()\\n sleep(delay)\\n return user\",\n \"def test_delay(self):\\n model = BDF(debug=False)\\n node1, c1, t1 = 100, 3, 0.3\\n node2, c2, t2 = 101, 4, 0.4\\n sid = 42\\n card_lines = ['DELAY', sid, node1, c1, t1, node2, c2, t2]\\n model.add_card(card_lines, card_lines[0], comment='', is_list=True,\\n has_none=True)\\n model.add_grid(100, [0., 0., 0.])\\n model.add_grid(101, [0., 0., 0.])\\n model.validate()\\n model.cross_reference()\\n #print(model.delays[42])\\n save_load_deck(model)\",\n \"def set_takeoff_time(input_list):\\n print(\\\"========================Start of set_takeoff_time() Method *\\\")\\n if len(input_list) > 0: # if list is not empty\\n input_list[0].set_actualStart(max(int(input_list[0].get_actualStart()), int(input_list[0].get_reqStart())))\\n\\n for i in range(1, len(input_list)): # from 2nd item onwards\\n wait_period = input_list[i - 1].get_actualStart() + (int(input_list[i - 1].get_reqDuration()))\\n input_list[i].set_actualStart(wait_period)\\n \\n for j in range(len(input_list)):\\n input_list[j].set_actualEnd(\\n (int(input_list[j].get_reqDuration())+int(input_list[j].get_actualStart())))\\n \\n print(\\\"========================finished calc take-off times *\\\")\\n # Testing if we have adjusted actual takeoff start and end times for each flight\\n Airport_Driver.display_contents(input_list)\\n print(\\\"========================End of set_takeoff_time() Method *\\\")\\n return input_list\",\n \"def _paused(self):\\n self._last = self._touch\\n m = 'You have '+`self._game.getPlayerLives()`+' lives remaining.\\\\nClick to continue'\\n f = 25\\n self._click()\\n if self._last is None and self._touch is not None:\\n self._state = STATE_COUNTDOWN\\n self._game.resetBall()\\n self._game.resetPaddle()\\n m = ''\\n self._last = self._touch\\n self._countdownTime = 0\\n self._countdownMessage = GLabel(text='3', font_size=40,x=GAME_WIDTH / 2.0,\\n y=GAME_HEIGHT*(2.0/3.0), halign='center',\\n valign='middle', linecolor=colormodel.WHITE)\\n self._pausedMessage = GLabel(text=m,font_size=f,x=GAME_WIDTH / 2.0,\\n y=GAME_HEIGHT*(2.0/3.0), halign='center',\\n valign='middle', linecolor=colormodel.WHITE)\",\n \"def delayDisplay(self,message,msec=1000):\\n print(message)\\n self.info = qt.QDialog()\\n self.infoLayout = qt.QVBoxLayout()\\n self.info.setLayout(self.infoLayout)\\n self.label = qt.QLabel(message,self.info)\\n self.infoLayout.addWidget(self.label)\\n qt.QTimer.singleShot(msec, self.info.close)\\n self.info.exec_()\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.61388785","0.55709624","0.5552502","0.5459696","0.54312676","0.54147136","0.53658587","0.53658587","0.5360396","0.5349062","0.533876","0.5317978","0.5289466","0.5288345","0.5288043","0.52846265","0.5271598","0.52613497","0.52591294","0.5234578","0.52275544","0.5204582","0.5181033","0.5169855","0.516965","0.5168554","0.5168554","0.51374424","0.51305425","0.5128517","0.51256126","0.51205057","0.51188177","0.51091284","0.51003975","0.5097936","0.5086984","0.50862527","0.5083598","0.50748336","0.50644827","0.5064053","0.5063615","0.5060174","0.5039216","0.5033051","0.50323915","0.5017131","0.5011722","0.5011082","0.5010543","0.50104773","0.49899784","0.4985398","0.49798697","0.4972208","0.49657553","0.49657553","0.49551892","0.4944427","0.49352798","0.4928437","0.49251905","0.4921926","0.49210873","0.49170253","0.49157757","0.49157757","0.4911761","0.49043524","0.48989853","0.48838842","0.48773387","0.48755324","0.48748955","0.48703283","0.48689458","0.48551592","0.48529965","0.48510683","0.4846011","0.48354882","0.48340893","0.48340893","0.48340893","0.48340893","0.4832204","0.4828334","0.48238444","0.48213467","0.48198497","0.48192653","0.48063228","0.48037776","0.48037776","0.4797717","0.47972664","0.47966808","0.47958627","0.4795555"],"string":"[\n \"0.61388785\",\n \"0.55709624\",\n \"0.5552502\",\n \"0.5459696\",\n \"0.54312676\",\n \"0.54147136\",\n \"0.53658587\",\n \"0.53658587\",\n \"0.5360396\",\n \"0.5349062\",\n \"0.533876\",\n \"0.5317978\",\n \"0.5289466\",\n \"0.5288345\",\n \"0.5288043\",\n \"0.52846265\",\n \"0.5271598\",\n \"0.52613497\",\n \"0.52591294\",\n \"0.5234578\",\n \"0.52275544\",\n \"0.5204582\",\n \"0.5181033\",\n \"0.5169855\",\n \"0.516965\",\n \"0.5168554\",\n \"0.5168554\",\n \"0.51374424\",\n \"0.51305425\",\n \"0.5128517\",\n \"0.51256126\",\n \"0.51205057\",\n \"0.51188177\",\n \"0.51091284\",\n \"0.51003975\",\n \"0.5097936\",\n \"0.5086984\",\n \"0.50862527\",\n \"0.5083598\",\n \"0.50748336\",\n \"0.50644827\",\n \"0.5064053\",\n \"0.5063615\",\n \"0.5060174\",\n \"0.5039216\",\n \"0.5033051\",\n \"0.50323915\",\n \"0.5017131\",\n \"0.5011722\",\n \"0.5011082\",\n \"0.5010543\",\n \"0.50104773\",\n \"0.49899784\",\n \"0.4985398\",\n \"0.49798697\",\n \"0.4972208\",\n \"0.49657553\",\n \"0.49657553\",\n \"0.49551892\",\n \"0.4944427\",\n \"0.49352798\",\n \"0.4928437\",\n \"0.49251905\",\n \"0.4921926\",\n \"0.49210873\",\n \"0.49170253\",\n \"0.49157757\",\n \"0.49157757\",\n \"0.4911761\",\n \"0.49043524\",\n \"0.48989853\",\n \"0.48838842\",\n \"0.48773387\",\n \"0.48755324\",\n \"0.48748955\",\n \"0.48703283\",\n \"0.48689458\",\n \"0.48551592\",\n \"0.48529965\",\n \"0.48510683\",\n \"0.4846011\",\n \"0.48354882\",\n \"0.48340893\",\n \"0.48340893\",\n \"0.48340893\",\n \"0.48340893\",\n \"0.4832204\",\n \"0.4828334\",\n \"0.48238444\",\n \"0.48213467\",\n \"0.48198497\",\n \"0.48192653\",\n \"0.48063228\",\n \"0.48037776\",\n \"0.48037776\",\n \"0.4797717\",\n \"0.47972664\",\n \"0.47966808\",\n \"0.47958627\",\n \"0.4795555\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.6142175"},"document_rank":{"kind":"string","value":"0"}}},{"rowIdx":86795,"cells":{"query":{"kind":"string","value":"Although Spark docs don't mention the \"unit\" argument, Spark3 added support for it at some point. Databricks also supports this variant (see below)."},"document":{"kind":"string","value":"def _parse_datediff(args: t.List) -> exp.Expression:\n unit = None\n this = seq_get(args, 0)\n expression = seq_get(args, 1)\n\n if len(args) == 3:\n unit = this\n this = args[2]\n\n return exp.DateDiff(\n this=exp.TsOrDsToDate(this=this), expression=exp.TsOrDsToDate(this=expression), unit=unit\n )"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def useUnits():","def unit_of_measurement(self):\n return None","def native_unit_of_measurement(self):\n return self._unit_of_measurement","def unit(cls, val):\n raise NotImplementedError","def set_unit(self,unit):\n self.unit = unit","def unit_of_measurement(self):\n return \"%\"","def unit_of_measurement(self):\n if self._coordinator.data:\n return self._coordinator.data['unit']\n return None","def ensure_unit(arg, unit):\n if not isinstance(arg, u.Quantity):\n arg = arg * unit\n return arg.to(unit)","def property_unit(self, unit: str) -> None:\n if sys.version_info[0] == 2:\n unit = unit\n\n if len(unit) > 100:\n unit = unit[:100]\n self.prop_unit = unit","def unit_of_measurement(self) -> str:\n return self._unit","def unit_of_measurement(self) -> Any:\n return TEMP_CELSIUS","def unit_of_measurement(self):\n return 'index'","def native_unit_of_measurement(self) -> str:\n return f\"{CURRENCY_CENT}/{UnitOfVolume.LITERS}\"","def units(self):\n pass","def unit(variable, unit):\n try:\n return myokit.Unit.convert(1, variable.unit(), unit)\n except myokit.IncompatibleUnitError:\n raise myokit.IncompatibleModelError(\n variable.model().name(),\n 'Incompatible units: ' + str(variable.unit()) + ' and '\n + str(unit) + '.')","def unit_of_measurement(self):\n return self.sensor_type[\"unit\"]","def unit(self) -> str:","def unit_of_measurement(self) -> str:\n return self._unit_of_measurement","def unit_of_measurement(self):\n return self.device.unit()","def native_unit_of_measurement(self) -> str | None:\n if hasattr(self, \"_attr_native_unit_of_measurement\"):\n return self._attr_native_unit_of_measurement\n if hasattr(self, \"entity_description\"):\n return self.entity_description.native_unit_of_measurement\n return None","def get_unit(shared, unit_name):\n if (shared.config.get_safe('data', 'use_units') != 'off'):\n unit_val, unit_str = shared.config.get_safe_literal('units', unit_name,\n default=(1.0, ''))\n if unit_str:\n unit_str = ' [' + unit_str + ']'\n else:\n unit_val = 1.0\n unit_str = ''\n \n return unit_val, unit_str","def unit(self):\n return self._unit","def native_unit_of_measurement(self):\n return self._target","def native_unit_of_measurement(self) -> str | None:\n if self.dev.name.endswith(\"_temp\"):\n if self.dev.system.temp_unit == \"F\":\n return UnitOfTemperature.FAHRENHEIT\n return UnitOfTemperature.CELSIUS\n return None","def unit_of_measurement(self) -> str:\n return \"objects\"","def get_unit(self):\n return self.unit","def unit_of_measurement(self):\n return self._unit","def unit_of_measurement(self):\n return self._unit","def unit_of_measurement(self):\n return self._unit","def unit_of_measurement(self):\n return self._unit","def unit_of_measurement(self):\n return self._unit","def unit_of_measurement(self):\n return self._unit","def unit_of_measurement(self):\n return self._unit","def unit_of_measurement(self):\n if self._xfinity_data.unit is not None:\n return self._xfinity_data.unit","def unit_of_measurement(self) -> str | None:\n set_req = self.gateway.const.SetReq\n if (\n AwesomeVersion(self.gateway.protocol_version) >= AwesomeVersion(\"1.5\")\n and set_req.V_UNIT_PREFIX in self._values\n ):\n custom_unit: str = self._values[set_req.V_UNIT_PREFIX]\n return custom_unit\n\n if set_req(self.value_type) == set_req.V_TEMP:\n if self.hass.config.units.is_metric:\n return TEMP_CELSIUS\n return TEMP_FAHRENHEIT\n\n unit = self._get_sensor_type()[0]\n return unit","def unit_of_measurement(self):\n return self._tasmota_entity.unit","def unit(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"unit\")","def unit(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"unit\")","def unit(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"unit\")","def unit(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"unit\")","def unit(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"unit\")","def unit(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"unit\")","def unit(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"unit\")","def unit(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"unit\")","def unit(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"unit\")","def unit(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"unit\")","def unit(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"unit\")","def unit(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"unit\")","def unit(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"unit\")","def unit(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"unit\")","def unit(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"unit\")","def unit(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"unit\")","def unit(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"unit\")","def unit(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"unit\")","def unit(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"unit\")","def unit(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"unit\")","def unit(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"unit\")","def unit(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"unit\")","def unit(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"unit\")","def unit(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"unit\")","def unit(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"unit\")","def unit(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"unit\")","def unit(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"unit\")","def unit(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"unit\")","def unit(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"unit\")","def unit(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"unit\")","def unit_of_measurement(self):\n return DEVICE_MAP[self._sensor_type][DEVICE_MAP_INDEX.index('UNIT_OF_MEASURE_INDEX')]","def unit_of_measurement(self):\n return self._sensor_type.unit","def convert_unit(size_in_bytes, unit):\n if unit == 'KB':\n return size_in_bytes/1024\n elif unit == 'MB':\n return size_in_bytes/(1024*1024)\n elif unit == 'GB':\n return size_in_bytes/(1024*1024*1024)\n else:\n return size_in_bytes","def unit_of_measurement(self):\n return self._metadata[1]","def unit_of_measurement(self) -> str:\n return MS","def unit_of_measurement(self):\n return self._var_unit","def unit_of_measurement(self):\n return self._var_unit","def unit(self) -> pulumi.Input[str]:\n return pulumi.get(self, \"unit\")","def to_base_unit(val: float, unit: str = \"\") -> float:\n unit_scalar = UNITS.get(unit, None)\n if not unit_scalar:\n raise UnknownUnitError(f\"Unit '{unit}' is not supported\")\n\n return val * unit_scalar","def units(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['OneDashboardPageWidgetPyUnitArgs']]]]:\n return pulumi.get(self, \"units\")","def unitsize(self, unit):\n\t\treturn self._unitsize[unit]","def _base_unit(self, df, colname):\n\n # This is not generic, but today we have to deal only with nanoseconds, so this is good\n # enough.\n if self._refdefs.info[colname].get(\"unit\") != \"nanosecond\":\n return df[colname]\n\n base_colname = f\"{colname}_base\"\n if base_colname not in df:\n df[base_colname] = df[colname] / 1000000000\n return df[base_colname]","def unit_of_measurement(self):\n return self._sensor.unit","def unit(self):\n return self.__unit","def unit_of_measurement(self):\n return self._unit_of_measurement","def unit_of_measurement(self):\n return self._unit_of_measurement","def unit_of_measurement(self):\n return self._unit_of_measurement","def unit_of_measurement(self):\n return self._unit_of_measurement","def unit_of_measurement(self):\n return self._unit_of_measurement","def unit_of_measurement(self):\n return self._unit_of_measurement","def unit_of_measurement(self):\n return self._unit_of_measurement","def unit_of_measurement(self):\n return self._unit_of_measurement","def unit_of_measurement(self):\n return self._unit_of_measurement","def unit_of_measurement(self):\n return self._unit_of_measurement","def unit_of_measurement(self):\n return self._unit_of_measurement","def unit_of_measurement(self):\n return self._unit_of_measurement","def unit_of_measurement(self):\n return self._unit_of_measurement","def unit_of_measurement(self):\n return self._unit_of_measurement","def units(self, size=\"G\", transfer='GB/s'): # YAML","def unit_of_measurement(self):\n if self.values.primary.units == \"C\":\n return TEMP_CELSIUS\n if self.values.primary.units == \"F\":\n return TEMP_FAHRENHEIT\n\n return self.values.primary.units","def units(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['OneDashboardPageWidgetTableUnitArgs']]]]:\n return pulumi.get(self, \"units\")","def unit_of_measurement(self):\n return SENSOR_TYPES[self.variable][1]","def unit_of_measurement(self):\n return SENSOR_TYPES[self.variable][1]","def unit_of_measurement(self):\n return LENGTH_METERS","def give_wv_units(wave):\n if not hasattr(wave, 'unit'):\n uwave = u.Quantity(wave, unit=u.AA)\n elif wave.unit is None:\n uwave = u.Quantity(wave, unit=u.AA)\n else:\n uwave = u.Quantity(wave)\n\n return uwave"],"string":"[\n \"def useUnits():\",\n \"def unit_of_measurement(self):\\n return None\",\n \"def native_unit_of_measurement(self):\\n return self._unit_of_measurement\",\n \"def unit(cls, val):\\n raise NotImplementedError\",\n \"def set_unit(self,unit):\\n self.unit = unit\",\n \"def unit_of_measurement(self):\\n return \\\"%\\\"\",\n \"def unit_of_measurement(self):\\n if self._coordinator.data:\\n return self._coordinator.data['unit']\\n return None\",\n \"def ensure_unit(arg, unit):\\n if not isinstance(arg, u.Quantity):\\n arg = arg * unit\\n return arg.to(unit)\",\n \"def property_unit(self, unit: str) -> None:\\n if sys.version_info[0] == 2:\\n unit = unit\\n\\n if len(unit) > 100:\\n unit = unit[:100]\\n self.prop_unit = unit\",\n \"def unit_of_measurement(self) -> str:\\n return self._unit\",\n \"def unit_of_measurement(self) -> Any:\\n return TEMP_CELSIUS\",\n \"def unit_of_measurement(self):\\n return 'index'\",\n \"def native_unit_of_measurement(self) -> str:\\n return f\\\"{CURRENCY_CENT}/{UnitOfVolume.LITERS}\\\"\",\n \"def units(self):\\n pass\",\n \"def unit(variable, unit):\\n try:\\n return myokit.Unit.convert(1, variable.unit(), unit)\\n except myokit.IncompatibleUnitError:\\n raise myokit.IncompatibleModelError(\\n variable.model().name(),\\n 'Incompatible units: ' + str(variable.unit()) + ' and '\\n + str(unit) + '.')\",\n \"def unit_of_measurement(self):\\n return self.sensor_type[\\\"unit\\\"]\",\n \"def unit(self) -> str:\",\n \"def unit_of_measurement(self) -> str:\\n return self._unit_of_measurement\",\n \"def unit_of_measurement(self):\\n return self.device.unit()\",\n \"def native_unit_of_measurement(self) -> str | None:\\n if hasattr(self, \\\"_attr_native_unit_of_measurement\\\"):\\n return self._attr_native_unit_of_measurement\\n if hasattr(self, \\\"entity_description\\\"):\\n return self.entity_description.native_unit_of_measurement\\n return None\",\n \"def get_unit(shared, unit_name):\\n if (shared.config.get_safe('data', 'use_units') != 'off'):\\n unit_val, unit_str = shared.config.get_safe_literal('units', unit_name,\\n default=(1.0, ''))\\n if unit_str:\\n unit_str = ' [' + unit_str + ']'\\n else:\\n unit_val = 1.0\\n unit_str = ''\\n \\n return unit_val, unit_str\",\n \"def unit(self):\\n return self._unit\",\n \"def native_unit_of_measurement(self):\\n return self._target\",\n \"def native_unit_of_measurement(self) -> str | None:\\n if self.dev.name.endswith(\\\"_temp\\\"):\\n if self.dev.system.temp_unit == \\\"F\\\":\\n return UnitOfTemperature.FAHRENHEIT\\n return UnitOfTemperature.CELSIUS\\n return None\",\n \"def unit_of_measurement(self) -> str:\\n return \\\"objects\\\"\",\n \"def get_unit(self):\\n return self.unit\",\n \"def unit_of_measurement(self):\\n return self._unit\",\n \"def unit_of_measurement(self):\\n return self._unit\",\n \"def unit_of_measurement(self):\\n return self._unit\",\n \"def unit_of_measurement(self):\\n return self._unit\",\n \"def unit_of_measurement(self):\\n return self._unit\",\n \"def unit_of_measurement(self):\\n return self._unit\",\n \"def unit_of_measurement(self):\\n return self._unit\",\n \"def unit_of_measurement(self):\\n if self._xfinity_data.unit is not None:\\n return self._xfinity_data.unit\",\n \"def unit_of_measurement(self) -> str | None:\\n set_req = self.gateway.const.SetReq\\n if (\\n AwesomeVersion(self.gateway.protocol_version) >= AwesomeVersion(\\\"1.5\\\")\\n and set_req.V_UNIT_PREFIX in self._values\\n ):\\n custom_unit: str = self._values[set_req.V_UNIT_PREFIX]\\n return custom_unit\\n\\n if set_req(self.value_type) == set_req.V_TEMP:\\n if self.hass.config.units.is_metric:\\n return TEMP_CELSIUS\\n return TEMP_FAHRENHEIT\\n\\n unit = self._get_sensor_type()[0]\\n return unit\",\n \"def unit_of_measurement(self):\\n return self._tasmota_entity.unit\",\n \"def unit(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"unit\\\")\",\n \"def unit(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"unit\\\")\",\n \"def unit(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"unit\\\")\",\n \"def unit(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"unit\\\")\",\n \"def unit(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"unit\\\")\",\n \"def unit(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"unit\\\")\",\n \"def unit(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"unit\\\")\",\n \"def unit(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"unit\\\")\",\n \"def unit(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"unit\\\")\",\n \"def unit(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"unit\\\")\",\n \"def unit(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"unit\\\")\",\n \"def unit(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"unit\\\")\",\n \"def unit(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"unit\\\")\",\n \"def unit(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"unit\\\")\",\n \"def unit(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"unit\\\")\",\n \"def unit(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"unit\\\")\",\n \"def unit(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"unit\\\")\",\n \"def unit(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"unit\\\")\",\n \"def unit(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"unit\\\")\",\n \"def unit(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"unit\\\")\",\n \"def unit(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"unit\\\")\",\n \"def unit(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"unit\\\")\",\n \"def unit(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"unit\\\")\",\n \"def unit(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"unit\\\")\",\n \"def unit(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"unit\\\")\",\n \"def unit(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"unit\\\")\",\n \"def unit(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"unit\\\")\",\n \"def unit(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"unit\\\")\",\n \"def unit(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"unit\\\")\",\n \"def unit(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"unit\\\")\",\n \"def unit_of_measurement(self):\\n return DEVICE_MAP[self._sensor_type][DEVICE_MAP_INDEX.index('UNIT_OF_MEASURE_INDEX')]\",\n \"def unit_of_measurement(self):\\n return self._sensor_type.unit\",\n \"def convert_unit(size_in_bytes, unit):\\n if unit == 'KB':\\n return size_in_bytes/1024\\n elif unit == 'MB':\\n return size_in_bytes/(1024*1024)\\n elif unit == 'GB':\\n return size_in_bytes/(1024*1024*1024)\\n else:\\n return size_in_bytes\",\n \"def unit_of_measurement(self):\\n return self._metadata[1]\",\n \"def unit_of_measurement(self) -> str:\\n return MS\",\n \"def unit_of_measurement(self):\\n return self._var_unit\",\n \"def unit_of_measurement(self):\\n return self._var_unit\",\n \"def unit(self) -> pulumi.Input[str]:\\n return pulumi.get(self, \\\"unit\\\")\",\n \"def to_base_unit(val: float, unit: str = \\\"\\\") -> float:\\n unit_scalar = UNITS.get(unit, None)\\n if not unit_scalar:\\n raise UnknownUnitError(f\\\"Unit '{unit}' is not supported\\\")\\n\\n return val * unit_scalar\",\n \"def units(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['OneDashboardPageWidgetPyUnitArgs']]]]:\\n return pulumi.get(self, \\\"units\\\")\",\n \"def unitsize(self, unit):\\n\\t\\treturn self._unitsize[unit]\",\n \"def _base_unit(self, df, colname):\\n\\n # This is not generic, but today we have to deal only with nanoseconds, so this is good\\n # enough.\\n if self._refdefs.info[colname].get(\\\"unit\\\") != \\\"nanosecond\\\":\\n return df[colname]\\n\\n base_colname = f\\\"{colname}_base\\\"\\n if base_colname not in df:\\n df[base_colname] = df[colname] / 1000000000\\n return df[base_colname]\",\n \"def unit_of_measurement(self):\\n return self._sensor.unit\",\n \"def unit(self):\\n return self.__unit\",\n \"def unit_of_measurement(self):\\n return self._unit_of_measurement\",\n \"def unit_of_measurement(self):\\n return self._unit_of_measurement\",\n \"def unit_of_measurement(self):\\n return self._unit_of_measurement\",\n \"def unit_of_measurement(self):\\n return self._unit_of_measurement\",\n \"def unit_of_measurement(self):\\n return self._unit_of_measurement\",\n \"def unit_of_measurement(self):\\n return self._unit_of_measurement\",\n \"def unit_of_measurement(self):\\n return self._unit_of_measurement\",\n \"def unit_of_measurement(self):\\n return self._unit_of_measurement\",\n \"def unit_of_measurement(self):\\n return self._unit_of_measurement\",\n \"def unit_of_measurement(self):\\n return self._unit_of_measurement\",\n \"def unit_of_measurement(self):\\n return self._unit_of_measurement\",\n \"def unit_of_measurement(self):\\n return self._unit_of_measurement\",\n \"def unit_of_measurement(self):\\n return self._unit_of_measurement\",\n \"def unit_of_measurement(self):\\n return self._unit_of_measurement\",\n \"def units(self, size=\\\"G\\\", transfer='GB/s'): # YAML\",\n \"def unit_of_measurement(self):\\n if self.values.primary.units == \\\"C\\\":\\n return TEMP_CELSIUS\\n if self.values.primary.units == \\\"F\\\":\\n return TEMP_FAHRENHEIT\\n\\n return self.values.primary.units\",\n \"def units(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['OneDashboardPageWidgetTableUnitArgs']]]]:\\n return pulumi.get(self, \\\"units\\\")\",\n \"def unit_of_measurement(self):\\n return SENSOR_TYPES[self.variable][1]\",\n \"def unit_of_measurement(self):\\n return SENSOR_TYPES[self.variable][1]\",\n \"def unit_of_measurement(self):\\n return LENGTH_METERS\",\n \"def give_wv_units(wave):\\n if not hasattr(wave, 'unit'):\\n uwave = u.Quantity(wave, unit=u.AA)\\n elif wave.unit is None:\\n uwave = u.Quantity(wave, unit=u.AA)\\n else:\\n uwave = u.Quantity(wave)\\n\\n return uwave\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.6497393","0.5888979","0.5616296","0.5584569","0.55432117","0.5522629","0.5515228","0.54870135","0.547054","0.5467974","0.54404426","0.5430543","0.5413083","0.54087776","0.540503","0.53957516","0.5384174","0.5380267","0.5344825","0.5342134","0.53236264","0.52965546","0.5290984","0.5286656","0.5283571","0.5270341","0.52667415","0.52667415","0.52667415","0.52667415","0.52667415","0.52667415","0.52667415","0.5254273","0.5252534","0.5251406","0.5247804","0.5247804","0.5247804","0.5247804","0.5247804","0.5247804","0.5247804","0.5247804","0.5247804","0.5247804","0.5247804","0.5247804","0.5247804","0.5247804","0.5247804","0.5247804","0.5247804","0.5247804","0.5247804","0.5247804","0.5247804","0.5247804","0.5247804","0.5247804","0.5247804","0.5247804","0.5247804","0.5247804","0.5247804","0.5247804","0.5231496","0.5208354","0.5202369","0.5194048","0.519315","0.51800984","0.51800984","0.51689744","0.51671946","0.51637703","0.51559705","0.51552725","0.515421","0.5152053","0.5149311","0.5149311","0.5149311","0.5149311","0.5149311","0.5149311","0.5149311","0.5149311","0.5149311","0.5149311","0.5149311","0.5149311","0.5149311","0.5149311","0.51471245","0.51435274","0.513498","0.5129855","0.5129855","0.51207846","0.5120246"],"string":"[\n \"0.6497393\",\n \"0.5888979\",\n \"0.5616296\",\n \"0.5584569\",\n \"0.55432117\",\n \"0.5522629\",\n \"0.5515228\",\n \"0.54870135\",\n \"0.547054\",\n \"0.5467974\",\n \"0.54404426\",\n \"0.5430543\",\n \"0.5413083\",\n \"0.54087776\",\n \"0.540503\",\n \"0.53957516\",\n \"0.5384174\",\n \"0.5380267\",\n \"0.5344825\",\n \"0.5342134\",\n \"0.53236264\",\n \"0.52965546\",\n \"0.5290984\",\n \"0.5286656\",\n \"0.5283571\",\n \"0.5270341\",\n \"0.52667415\",\n \"0.52667415\",\n \"0.52667415\",\n \"0.52667415\",\n \"0.52667415\",\n \"0.52667415\",\n \"0.52667415\",\n \"0.5254273\",\n \"0.5252534\",\n \"0.5251406\",\n \"0.5247804\",\n \"0.5247804\",\n \"0.5247804\",\n \"0.5247804\",\n \"0.5247804\",\n \"0.5247804\",\n \"0.5247804\",\n \"0.5247804\",\n \"0.5247804\",\n \"0.5247804\",\n \"0.5247804\",\n \"0.5247804\",\n \"0.5247804\",\n \"0.5247804\",\n \"0.5247804\",\n \"0.5247804\",\n \"0.5247804\",\n \"0.5247804\",\n \"0.5247804\",\n \"0.5247804\",\n \"0.5247804\",\n \"0.5247804\",\n \"0.5247804\",\n \"0.5247804\",\n \"0.5247804\",\n \"0.5247804\",\n \"0.5247804\",\n \"0.5247804\",\n \"0.5247804\",\n \"0.5247804\",\n \"0.5231496\",\n \"0.5208354\",\n \"0.5202369\",\n \"0.5194048\",\n \"0.519315\",\n \"0.51800984\",\n \"0.51800984\",\n \"0.51689744\",\n \"0.51671946\",\n \"0.51637703\",\n \"0.51559705\",\n \"0.51552725\",\n \"0.515421\",\n \"0.5152053\",\n \"0.5149311\",\n \"0.5149311\",\n \"0.5149311\",\n \"0.5149311\",\n \"0.5149311\",\n \"0.5149311\",\n \"0.5149311\",\n \"0.5149311\",\n \"0.5149311\",\n \"0.5149311\",\n \"0.5149311\",\n \"0.5149311\",\n \"0.5149311\",\n \"0.5149311\",\n \"0.51471245\",\n \"0.51435274\",\n \"0.513498\",\n \"0.5129855\",\n \"0.5129855\",\n \"0.51207846\",\n \"0.5120246\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":86796,"cells":{"query":{"kind":"string","value":"return a dic of attrs containing the parsed attributes of attrs"},"document":{"kind":"string","value":"def parseAttrs(self,attrs,date_type):\n\tattrs=copy.copy(attrs) #make sure we don't change user/group attributes\n \tattr_holders=self.getAttrHolders(attrs)\n\tmap(lambda x:x.setDateType(date_type),attr_holders)\n\tmap(lambda x:attrs.update(x.getParsedDic()),attr_holders)\n\treturn attrs"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def _get_attribute_dic(self, attrs):\n attr_dic = {}\n for attr_pair in attrs:\n attr_dic[attr_pair[0]] = attr_pair[1]\n return attr_dic","def process_attrs(attrs):\n if attrs.getLength() == 0:\n return {}\n tmp_dict = {}\n for name in attrs.getNames():\n tmp_dict[name] = attrs.getValue(name)\n return tmp_dict","def attrs_to_dict(self, attrs):\n return {k: v for k, v in attrs}","def getAttrsDict(attrs):\r\n attrsDict = json.loads(re.sub('/\\\"(?!(,\\s\"|}))','\\\\\"',attrs).replace(\"\\t\",\" \").replace(\"\\n\",\" \")) if len(attrs)>0 else {}\r\n return attrsDict","def get_attrs(self):\n req_attrv = self._ptr.contents.attrv\n attrs = {}\n if bool(req_attrv):\n i = 0\n while 1:\n s = bytestostr(req_attrv[i])\n i += 1\n if s == None:\n break\n try:\n k, v = s.split(\"=\", 1)\n attrs[k] = v\n except:\n pass\n return attrs","def get_attributes(self) -> Dict[str, str]:\n pass","def get_attrs_dict(self, root_element):\n attr_elements = root_element.findall(\"attribute\")\n attrs_dict = {}\n for el in attr_elements:\n attrs_dict[el.attrib[\"name\"]] = {\n \"value\": el.attrib[\"value\"],\n \"type\": el.attrib.get(\"type\", None)\n }\n return attrs_dict","def GetAttributes(self):\n return dict(self._attrs)","def load_attrs(self):\n return loads(self.get_attr().GetObject()) or {}","def convert_attributes(cls, attrs):\n return {}","def get_attrib_dict(self, attribs: Tuple[str]) -> Dict[str, str]:\n attrs = self.get_attribs(attribs)\n attrs = tuple(map(lambda a: (a[0][1:], a[1]), attrs))\n return dict(attrs)","def parse_attributes(self, attr):\n result = {}\n annotations = []\n # Sanitize and split attributes up\n split_attr = attr.strip(' \\t\\n;').split(';')\n for pair in split_attr:\n splitpair = pair.split('=')\n if len(splitpair) != 2:\n continue\n if splitpair[0] == \"ID\":\n result['identifier'] = splitpair[1]\n elif splitpair[0] == \"Name\":\n result['name'] = splitpair[1]\n elif splitpair[0] == \"Parent\":\n result['parent_id'] = splitpair[1]\n elif splitpair[0] == \"Dbxref\" or splitpair[0] == \"Ontology_term\":\n annotations.append(splitpair)\n # Make sure we found an ID\n if \"identifier\" not in result:\n return {}\n # Add annotations if we found any\n if annotations:\n result[\"annotations\"] = annotations\n return result","def extract_request(self, attrs):\n try:\n _base = self.attributes()\n _new_dict = {}\n for key in attrs:\n if key in _base:\n _new_dict[key] = attrs[key]\n return _new_dict\n except Exception as e:\n print(e)","def get_attributes(self):\n\t\treturn dict(list(self.__element.items()))","def extract_attrs(attr_string):\n attributes = {}\n for name, val in FIND_ATTRS.findall(attr_string):\n val = (\n val.replace(\"<\", \"<\")\n .replace(\">\", \">\")\n .replace(\""\", '\"')\n .replace(\"&\", \"&\")\n )\n attributes[name] = val\n return attributes","def get_attributes(self):\n \n retdict = {}\n retdict['s'] = str(self.s)\n if self.t != None:\n retdict['t'] = str(self.t)\n retdict['a'] = str(self.a)\n retdict['b'] = str(self.b)\n retdict['c'] = str(self.c)\n retdict['d'] = str(self.d)\n return retdict","def _attrs_map(self) -> \"dict[int, str]\":\n return {i: attr.name for i, attr in enumerate(self._attrs())}","def _parse_attr(self, attr_proto):\n attrs = {}\n for key, value in attr_proto.items():\n attrs[key] = self._get_attr(value)\n\n return attrs","def get_attributes(self):\n return dict(self.attributes) # return the attributes","def get_attributes(self):\n return dict(self.attributes) # return the attributes","def get_attributes(self):\n return dict(self.attributes) # return the attributes","def proc_attr(inp):\n dic = {}\n for att in inp.attrs.keys():\n if getattr(inp.attrs[att], \"dtype\", None) is None:\n dic[att] = inp.attrs[att]\n elif inp.attrs[att].dtype.char == 'S':\n dic[att] = [\n x.strip() for x in inp.attrs[att].tostring().decode('ascii').split(',')\n ]\n else:\n dic[att] = (\n inp.attrs[att][0]\n if isinstance(inp.attrs[att],np.ndarray) and\n inp.attrs[att].size==1\n else inp.attrs[att]\n )\n return dic\n pass","def attrs(self):\n return self.__dict__","def clean_attributes(self):\n attrs = {}\n\n # Only fetch the fields we need.\n for a in self.attributes.only('name', 'value', 'attribute').iterator():\n if a.attribute.multi:\n if a.name not in attrs:\n attrs[a.name] = []\n attrs[a.name].append(a.value)\n else:\n attrs[a.name] = a.value\n self._attributes_cache = attrs # Cache the attributes\n\n return attrs","def to_json(self, attrs=None):\n if isinstance(attrs, list):\n attr_dict = {}\n for atribs in attrs:\n if hasattr(self, atribs):\n attr_dict[atribs] = getattr(self, atribs)\n return attr_dict\n return self.__dict__","def attributes_metadata(self):\n\n attribute_meta = collections.defaultdict(dict)\n\n for attribute in self.attributes:\n attribute_meta[attribute.name]['valuemap'] = attribute.valuemap\n attribute_meta[attribute.name]['qualifiers'] = attribute.qualifiers\n\n return dict(attribute_meta)","def get_attribute_data(self, attrs):\n return {\n 'id': attrs['data-id'],\n }","def attributes(self):\n return dict(self.__attributes)","def parse_attributes(data, attributes):\n result = {}\n for key, val in attributes.items():\n if type(val) is list:\n attr_val = get_tree_data(data, val)\n else:\n attr_val = data.get(val, None)\n if attr_val is not None:\n result[key] = attr_val\n return result","def read_attribs(self):\n\n attribs = {}\n while self.index < self.length:\n self.ignore_whitespaces()\n if self.xtext[self.index] == '>':\n break\n name = self.read_until('=')\n self.index += 1\n self.read_until('\"')\n self.index += 1\n value = self.read_until('\"')\n self.index += 1\n\n attribs[name] = value\n\n return attribs","def to_json(self, attrs=None):\n if (type(attrs) == list and all(type(ele) == str for ele in attrs)):\n return {k: getattr(self, k) for k in attrs if hasattr(self, k)}\n return self.__dict__","def _getAttrMap(self):\r\n if not getattr(self, 'attrMap'):\r\n self.attrMap = {}\r\n for (key, value) in self.attrs:\r\n self.attrMap[key] = value\r\n return self.attrMap","def getAttributeDict(self):\n result = {}\n dict = self.getDict()\n for key in dict.keys():\n value = dict.get(key)\n if value.__class__.__name__ != 'SpecialDict':\n result[key] = value\n return result","def attributes(self, *args):\n kwargs = {}\n if args:\n kwargs[\"attributenames\"] = args\n\n r = self._token_id_request(urljoin(self._url, Client._attribute_resource), **kwargs)\n\n # parse contennt looking for all attributes\n attributes = []\n for line in r.text.splitlines():\n r = re.match(\"(userdetails\\.attribute\\.name)=(.*)\", line)\n if r:\n name = r.groups()[1]\n attributes.append([name, None])\n continue # next line\n\n r = re.match(\"(userdetails\\.attribute\\.value)=(.*)\", line)\n if r:\n value = r.groups()[1]\n # last name parsed is where it has to\n # be stacked\n if attributes[-1][1] == None:\n attributes[-1][1] = value\n if isinstance(attributes[-1][1], list):\n attributes[-1][1].append(value)\n else:\n # cast to list\n attributes[-1].append([attributes[-1][1], value])\n\n return dict([(item[0], item[1]) for item in attributes])","def to_dict(self):\n d = {}\n i = 0\n for entry in self.entries:\n d[i] = {}\n attributes = self.get_attribute_list()\n print (attributes)\n for data in attributes:\n d[i][data] = entry.__getattribute__(data)\n i = i + 1\n return d","def parse_attributes(self):\n attrs = {}\n error = False\n for header, attr in self.app.config['SSO_ATTRIBUTE_MAP'].items():\n required, name = attr\n value = request.environ.get(header, None)\n\n attrs[name] = value\n if not value or value == '':\n if required:\n error = True\n return attrs, error","def as_dict(self):\n result = {}\n for attr in self.__attr:\n result[attr] = getattr(self, attr)\n return result","def to_json(self, attrs=None):\n if (type(attrs) == list and\n all(type(element) == str for element in attrs)):\n new_dict = {}\n for element in attrs:\n if element in self.__dict__:\n new_dict[element] = self.__dict__[element]\n return (new_dict)\n return (self.__dict__)","def to_json(self, attrs=None):\n if attrs is None:\n return self.__dict__\n a_dict = {}\n for stuff in attrs:\n try:\n a_dict[stuff] = self.__dict__[stuff]\n except:\n pass\n return a_dict","def get_attrs(self):\n attrs = []\n for attribute in self.__dict__.keys():\n attrs.append(attribute)","def a_attr_dict (self) :\n return dict (href = self.abs_href)","def dict(self) -> dict():\n\n dict_reg_hive = {}\n\n for _attribute in self.attributes.__dict__.items():\n if isinstance(_attribute[1], str):\n if not True in [_attribute[1].startswith(prefix) for prefix in ['<', 'providers.', 'None']]:\n _attribute_value = getattr(self, _attribute[1])\n dict_reg_hive.update({_attribute[1]: _attribute_value})\n\n return dict_reg_hive","def parseAttributes(self, ent_name, attrs_str):\r\n parts = []\r\n lastpos = 0\r\n \r\n while lastpos < len(attrs_str):\r\n newpos = self.nextString(attrs_str, lastpos)\r\n parts.extend(self.parseAttribute(attrs_str[lastpos:newpos-1]))\r\n lastpos = newpos\r\n \r\n schema_attributes = self.schema.getAttributes(ent_name)\r\n\r\n assert len(schema_attributes) == len(parts), \\\r\n \"Expected %s attributes, got %s (entity: %s\" % \\\r\n (len(schema_attributes), len(parts), ent_name)\r\n \r\n attribute_names = [a[0] for a in schema_attributes]\r\n \r\n return dict(zip(attribute_names, parts))","def to_dict(\n self,\n attributes: Iterable[str] = (\"xyz\", \"viewdir\", \"imgsz\", \"f\", \"c\", \"k\", \"p\"),\n ) -> Dict[str, tuple]:\n return {key: helpers.numpy_to_native(getattr(self, key)) for key in attributes}","def tags_dict(self):\n return ({'name': 'tag', 'attrs': {'k': k, 'v': v}} for k, v in self.tags.items())","def to_json(self, attrs=None):\n if type(attrs) is list and all(isinstance(i, str) for i in attrs):\n new_dict = {}\n for k in list(self.__dict__.keys()):\n if k in attrs:\n new_dict[k] = self.__dict__[k]\n return new_dict\n\n return self.__dict__","def to_json(self, attrs=None):\n\n if attrs is None:\n return self.__dict__\n\n flag_instance = 0\n for atribute in attrs:\n if not isinstance(atribute, str):\n flag_instance = 1\n\n if flag_instance == 0:\n dic_to_return = {}\n for key in attrs:\n try:\n dic_to_return[key] = self.__dict__[key]\n except:\n pass\n return dic_to_return\n\n return self.__dict__","def to_json(self, attrs=None):\n\n if (type(attrs) == list and\n all(type(item) == str for item in attrs)):\n return {key: getattr(self, key) for key in attrs\n if hasattr(self, key)}\n return self.__dict__","def to_dict(self):\n if self._dict is not None:\n return self._dict\n\n result = {}\n for key in self.ATTRIBUTES:\n value = getattr(self, key)\n if value:\n result[key] = value\n self._dict = result\n return result","def dom2dict(element):\n keys = list(element.attributes.keys())\n values = [val.value for val in list(element.attributes.values())]\n return dict(list(zip(keys, values)))","def record_dict(self):\n return {p.key: getattr(self, p.key) for p in self.__mapper__.attrs}","def to_json(self, attrs=None):\n if type(attrs) is not list:\n return self.__dict__\n else:\n return dict((_key, self.__dict__[_key])\n for _key in attrs if _key in self.__dict__)","def to_json(self, attrs=None):\n if type(attrs) is list:\n my_dict = {}\n for i in attrs:\n if i in self.__dict__:\n my_dict[i] = self.__dict__[i]\n return(my_dict)\n return(self.__dict__)","def get_attributes_of_node(core, node):\n attributes = {}\n for attribute in core.get_attribute_names(node):\n attributes[attribute] = core.get_attribute(node,attribute)\n return attributes","def read_global_attributes(self):\n return self._attrs.keys()","def convert_attr_to_dict(attr):\n\n\tresult = dict()\n\tattr = attr.split(';')\n\tattrlist = [a.split(':') for a in attr]\n\tfor pair in attrlist:\n\t\tif len(pair) == 2:\n\t\t\tkey = pair[0]\n\t\t\tvalue = pair[1]\n\t\t\tresult[key] = value\n\n\treturn result","def get_attributes(doc):\n\treturn doc.keys()","def to_json(self, attrs=None):\n if attrs is None:\n return self.__dict__\n if all(isinstance(at, str) for at in attrs):\n if isinstance(attrs, list):\n return {a: getattr(self, a) for a in attrs if hasattr(self, a)}","def to_json(self, attrs=None):\n res = {}\n if attrs is not None:\n for a in attrs:\n try:\n res[a] = self.__dict__[a]\n except:\n pass\n return res\n return self.__dict__","def get_attributes(obj) -> Dict[str, Tuple[Any, str]]:\n if is_dataclass(obj):\n return get_dataclass_attributes(obj)\n elif inspect.isclass(obj):\n return get_class_attributes(obj)\n elif inspect.ismodule(obj):\n return get_module_attributes(obj)\n return {}","def transform(attrs: dict) -> dict:\n\n pass","def _parse_attr(self, attr_proto):\n attrs = {}\n for a in attr_proto:\n for f in ['f', 'i', 's']:\n if a.HasField(f):\n attrs[a.name] = getattr(a, f)\n for f in ['floats', 'ints', 'strings']:\n if list(getattr(a, f)):\n assert a.name not in attrs, \"Only one type of attr is allowed\"\n attrs[a.name] = tuple(getattr(a, f))\n for f in ['t', 'g']:\n if a.HasField(f):\n attrs[a.name] = getattr(a, f)\n for f in ['tensors', 'graphs']:\n if list(getattr(a, f)):\n raise NotImplementedError(\"Filed {} is not supported in mxnet.\".format(f))\n if a.name not in attrs:\n raise ValueError(\"Cannot parse attribute: \\n{}\\n.\".format(a))\n return attrs","def to_json(self, attrs=None):\n islistofstring = True\n if type(attrs) is not list:\n islistofstring = False\n else:\n for elem in attrs:\n if type(elem) is not str:\n islistofstring = False\n\n if islistofstring is False:\n return self.__dict__\n\n return {k: self.__dict__[k] for k in (self.__dict__.keys() & attrs)}","def attributes(self):\n _attrs = [\"label\"]\n if self.attrs:\n _attrs.append(\"attrs\")\n return _attrs","def get_attributes(self):\n\n endpoint = self._get_api_endpoint() + '/attributes'\n results = self.tq.get(endpoint, withp='attribute')\n if 'data' not in results:\n return {}\n\n return results['data']\n # tr = {}\n # for attribute in results['data']:\n # tr[attribute['attribute']['name']] = attribute['value']\n # return tr","def as_dict(self):\n return {'name': self.name, 'attrs': self.attrs_dict, 'children': self.tags_dict}","def _process_attrs(attrs):\n new_attrs = OrderedDict()\n for attr in attrs:\n col = attr\n if isinstance(attr, tuple):\n col, attr = attr\n # special cases\n if attr == 'class_name':\n attr = '__class__.__name__'\n if attr == 'repr':\n attr = repr\n new_attrs[col] = attr\n\n return new_attrs","def _attribs(self, name=None, description=None):\n a = {}\n if name:\n a['name'] = name\n if description:\n a['description'] = description\n return a","def __get_smart_attr_headers_params(self, href_parsed):\n\n\t\tsmart_attr_to_drive_list_map = {}\n\n\t\th4_elements = href_parsed.find_all('h4')\n\t\tsmart_attr_headers = filter(lambda x: self.SMART_ATTR_HEADER_REGEX.match(x.text), h4_elements)\n\n\t\tfor smart_attr_header in smart_attr_headers:\n\t\t\tdrives = smart_attr_header.find_next(string=self.SMART_ATTR_DRIVE_LIST_REGEX).parent.parent\n\t\t\tdrives = drives.text.split(':')[1]\n\t\t\tsmart_attr_to_drive_list_map[smart_attr_header.text] = self.__clean_drive_text(drives)\n\n\t\treturn smart_attr_to_drive_list_map","def to_json(self, attrs=None):\n if isinstance(attrs, list):\n type_str = [isinstance(attr, str) for attr in attrs]\n if all(type_str):\n _dict = {}\n for key in attrs:\n if key in self.__dict__:\n _dict[key] = self.__dict__[key]\n return _dict\n return self.__dict__","def to_json(self, attrs=None):\n\n if attrs != None and not isinstance(attrs, list):\n raise TypeError(\"attrs must me a list of strings\")\n\n if attrs != None and any(not isinstance(attr, str) for attr in attrs):\n raise TypeError(\"attrs must me a list of strings\")\n\n if attrs == None:\n return self.__dict__\n\n json_dic = {}\n for key in attrs:\n if key in self.__dict__.keys():\n json_dic[key] = self.__dict__[key]\n\n return json_dic","def to_json(self, attrs=None):\n temp = {}\n if attrs is not None:\n for k, v in self.__dict__.items():\n if k in attrs:\n temp[k] = v\n return temp\n return self.__dict__","def to_dict(self) -> Dict:\n _dict = {}\n if hasattr(self, 'attributes') and self.attributes is not None:\n _dict['attributes'] = [x.to_dict() for x in self.attributes]\n return _dict","def AttributesFromMojom(self, mojom):\n if not mojom.decl_data.attributes:\n return None\n\n return {attr.key: attr.value for attr in mojom.decl_data.attributes}","def attribute_to_dict(attr: onnx.AttributeProto) -> Dict:\n ret = {}\n for a in attr:\n value = get_attribute_value(a)\n if isinstance(value, bytes):\n value = str(value, 'utf-8')\n ret[a.name] = value\n return ret","def asdict(self):\n return attr.asdict(self)","def __convertAttributes__(xml_source):\n attributes = {}\n for attrName, attrValue in xml_source.attributes.items():\n attributes[attrName] = attrValue\n return attributes","def attributes(self) -> Optional[Mapping[str, Sequence[str]]]:\n return pulumi.get(self, \"attributes\")","def values(self):\n return self.attrs.values()","def getAttributes(self):\n pass","def as_attrdict(self) -> AttributeDict:\n return AttributeDict(\n {\n x: Configuration(v).as_attrdict() if isinstance(v, Mapping) else v\n for x, v in self.items(levels=1)\n }\n )","def dom2dict(element):\n keys = list(element.attributes.keys())\n values = [val.value for val in list(element.attributes.values())]\n return dict(list(zip(keys, values)))","def parseAttrs(file_name):\n\tlines = file(file_name).read().strip().split('\\n')\n\tlines = [x.strip() for x in lines if len(x.strip()) > 0]\n\treturn [parseAttrLine(x) for x in lines]","def attribute_dict(self):\n return self.__attribute_dict","def apply(self, attributes):\n return {\n self.attribute_names[k]: v\n for k, v in attributes.items()\n }","def parse_tag_attrs(self, *a, **kw):\n return parse_tag_attrs(*a, **kw)","def parse_tag_attrs(self, *a, **kw):\n return parse_tag_attrs(*a, **kw)","def to_dict(self):\n return attr.asdict(self)","def _get_attribute_dict(self, attributes, classname=None):\n if attributes and isinstance(attributes, six.string_types):\n return {\n 'class': attributes\n }\n if not attributes:\n attributes = {}\n if not classname:\n classname = self.DEFAULT_CLASS_NAME\n attributes.setdefault('class', classname)\n return attributes","def serialize(self) -> dict:\n\n attributes = self.include or inspect(self).attrs.keys()\n return {c: getattr(self, c) for c in attributes}","def attrs(self) -> dict:\n return self._obj.coords[GEO_MAP_COORD].attrs","def _to_request_dict(self):\n return {\"attr1\": self.attr1, \"attr2\": \"test\"}","def parts(self):\n if hasattr(self, '_parts'):\n return self._parts\n argspec = inspect.getargspec(self.primary_preprocessor)\n needed_attrs = {attr_name: getattr(self, attr_name)\n for attr_name in argspec.args}\n if argspec.varargs:\n needed_attrs[argspec.varargs] = getattr(self, argspec.varargs)\n\n if argspec.keywords:\n needed_attrs[argspec.keywords] = getattr(self, argspec.keywords)\n\n return needed_attrs","def as_dict(self):\n return {c.key: getattr(self, c.key)\n for c in inspect(self).mapper.column_attrs}","def getAttributes(self, keysList=None):\n if isinstance(keysList, list):\n out = {}\n for key in keysList:\n out.update({key: self.attr(key)})\n return out\n return self.attributes","def to_dictionary(self):\n attributes = [\"id\", \"size\", \"x\", \"y\"]\n return {key: getattr(self, key) for key in attributes}","def attrs(self):\n return [name for name in self.traits() if self.trait_metadata(name, \"attr\")]","def attrs(self):\n return [name for name in self.traits() if self.trait_metadata(name, \"attr\")]","def get_node_attributes(graph: BaseGraph, attr_key: str) -> Dict:\n return get_node_attributes(graph.graph, attr_key)","def to_json(self, attrs=None):\n d = self.__dict__\n if attrs is None:\n return d\n else:\n filt_d = {}\n for element in attrs:\n for key, val in d.items():\n if element == key:\n filt_d[key] = val\n return filt_d"],"string":"[\n \"def _get_attribute_dic(self, attrs):\\n attr_dic = {}\\n for attr_pair in attrs:\\n attr_dic[attr_pair[0]] = attr_pair[1]\\n return attr_dic\",\n \"def process_attrs(attrs):\\n if attrs.getLength() == 0:\\n return {}\\n tmp_dict = {}\\n for name in attrs.getNames():\\n tmp_dict[name] = attrs.getValue(name)\\n return tmp_dict\",\n \"def attrs_to_dict(self, attrs):\\n return {k: v for k, v in attrs}\",\n \"def getAttrsDict(attrs):\\r\\n attrsDict = json.loads(re.sub('/\\\\\\\"(?!(,\\\\s\\\"|}))','\\\\\\\\\\\"',attrs).replace(\\\"\\\\t\\\",\\\" \\\").replace(\\\"\\\\n\\\",\\\" \\\")) if len(attrs)>0 else {}\\r\\n return attrsDict\",\n \"def get_attrs(self):\\n req_attrv = self._ptr.contents.attrv\\n attrs = {}\\n if bool(req_attrv):\\n i = 0\\n while 1:\\n s = bytestostr(req_attrv[i])\\n i += 1\\n if s == None:\\n break\\n try:\\n k, v = s.split(\\\"=\\\", 1)\\n attrs[k] = v\\n except:\\n pass\\n return attrs\",\n \"def get_attributes(self) -> Dict[str, str]:\\n pass\",\n \"def get_attrs_dict(self, root_element):\\n attr_elements = root_element.findall(\\\"attribute\\\")\\n attrs_dict = {}\\n for el in attr_elements:\\n attrs_dict[el.attrib[\\\"name\\\"]] = {\\n \\\"value\\\": el.attrib[\\\"value\\\"],\\n \\\"type\\\": el.attrib.get(\\\"type\\\", None)\\n }\\n return attrs_dict\",\n \"def GetAttributes(self):\\n return dict(self._attrs)\",\n \"def load_attrs(self):\\n return loads(self.get_attr().GetObject()) or {}\",\n \"def convert_attributes(cls, attrs):\\n return {}\",\n \"def get_attrib_dict(self, attribs: Tuple[str]) -> Dict[str, str]:\\n attrs = self.get_attribs(attribs)\\n attrs = tuple(map(lambda a: (a[0][1:], a[1]), attrs))\\n return dict(attrs)\",\n \"def parse_attributes(self, attr):\\n result = {}\\n annotations = []\\n # Sanitize and split attributes up\\n split_attr = attr.strip(' \\\\t\\\\n;').split(';')\\n for pair in split_attr:\\n splitpair = pair.split('=')\\n if len(splitpair) != 2:\\n continue\\n if splitpair[0] == \\\"ID\\\":\\n result['identifier'] = splitpair[1]\\n elif splitpair[0] == \\\"Name\\\":\\n result['name'] = splitpair[1]\\n elif splitpair[0] == \\\"Parent\\\":\\n result['parent_id'] = splitpair[1]\\n elif splitpair[0] == \\\"Dbxref\\\" or splitpair[0] == \\\"Ontology_term\\\":\\n annotations.append(splitpair)\\n # Make sure we found an ID\\n if \\\"identifier\\\" not in result:\\n return {}\\n # Add annotations if we found any\\n if annotations:\\n result[\\\"annotations\\\"] = annotations\\n return result\",\n \"def extract_request(self, attrs):\\n try:\\n _base = self.attributes()\\n _new_dict = {}\\n for key in attrs:\\n if key in _base:\\n _new_dict[key] = attrs[key]\\n return _new_dict\\n except Exception as e:\\n print(e)\",\n \"def get_attributes(self):\\n\\t\\treturn dict(list(self.__element.items()))\",\n \"def extract_attrs(attr_string):\\n attributes = {}\\n for name, val in FIND_ATTRS.findall(attr_string):\\n val = (\\n val.replace(\\\"<\\\", \\\"<\\\")\\n .replace(\\\">\\\", \\\">\\\")\\n .replace(\\\""\\\", '\\\"')\\n .replace(\\\"&\\\", \\\"&\\\")\\n )\\n attributes[name] = val\\n return attributes\",\n \"def get_attributes(self):\\n \\n retdict = {}\\n retdict['s'] = str(self.s)\\n if self.t != None:\\n retdict['t'] = str(self.t)\\n retdict['a'] = str(self.a)\\n retdict['b'] = str(self.b)\\n retdict['c'] = str(self.c)\\n retdict['d'] = str(self.d)\\n return retdict\",\n \"def _attrs_map(self) -> \\\"dict[int, str]\\\":\\n return {i: attr.name for i, attr in enumerate(self._attrs())}\",\n \"def _parse_attr(self, attr_proto):\\n attrs = {}\\n for key, value in attr_proto.items():\\n attrs[key] = self._get_attr(value)\\n\\n return attrs\",\n \"def get_attributes(self):\\n return dict(self.attributes) # return the attributes\",\n \"def get_attributes(self):\\n return dict(self.attributes) # return the attributes\",\n \"def get_attributes(self):\\n return dict(self.attributes) # return the attributes\",\n \"def proc_attr(inp):\\n dic = {}\\n for att in inp.attrs.keys():\\n if getattr(inp.attrs[att], \\\"dtype\\\", None) is None:\\n dic[att] = inp.attrs[att]\\n elif inp.attrs[att].dtype.char == 'S':\\n dic[att] = [\\n x.strip() for x in inp.attrs[att].tostring().decode('ascii').split(',')\\n ]\\n else:\\n dic[att] = (\\n inp.attrs[att][0]\\n if isinstance(inp.attrs[att],np.ndarray) and\\n inp.attrs[att].size==1\\n else inp.attrs[att]\\n )\\n return dic\\n pass\",\n \"def attrs(self):\\n return self.__dict__\",\n \"def clean_attributes(self):\\n attrs = {}\\n\\n # Only fetch the fields we need.\\n for a in self.attributes.only('name', 'value', 'attribute').iterator():\\n if a.attribute.multi:\\n if a.name not in attrs:\\n attrs[a.name] = []\\n attrs[a.name].append(a.value)\\n else:\\n attrs[a.name] = a.value\\n self._attributes_cache = attrs # Cache the attributes\\n\\n return attrs\",\n \"def to_json(self, attrs=None):\\n if isinstance(attrs, list):\\n attr_dict = {}\\n for atribs in attrs:\\n if hasattr(self, atribs):\\n attr_dict[atribs] = getattr(self, atribs)\\n return attr_dict\\n return self.__dict__\",\n \"def attributes_metadata(self):\\n\\n attribute_meta = collections.defaultdict(dict)\\n\\n for attribute in self.attributes:\\n attribute_meta[attribute.name]['valuemap'] = attribute.valuemap\\n attribute_meta[attribute.name]['qualifiers'] = attribute.qualifiers\\n\\n return dict(attribute_meta)\",\n \"def get_attribute_data(self, attrs):\\n return {\\n 'id': attrs['data-id'],\\n }\",\n \"def attributes(self):\\n return dict(self.__attributes)\",\n \"def parse_attributes(data, attributes):\\n result = {}\\n for key, val in attributes.items():\\n if type(val) is list:\\n attr_val = get_tree_data(data, val)\\n else:\\n attr_val = data.get(val, None)\\n if attr_val is not None:\\n result[key] = attr_val\\n return result\",\n \"def read_attribs(self):\\n\\n attribs = {}\\n while self.index < self.length:\\n self.ignore_whitespaces()\\n if self.xtext[self.index] == '>':\\n break\\n name = self.read_until('=')\\n self.index += 1\\n self.read_until('\\\"')\\n self.index += 1\\n value = self.read_until('\\\"')\\n self.index += 1\\n\\n attribs[name] = value\\n\\n return attribs\",\n \"def to_json(self, attrs=None):\\n if (type(attrs) == list and all(type(ele) == str for ele in attrs)):\\n return {k: getattr(self, k) for k in attrs if hasattr(self, k)}\\n return self.__dict__\",\n \"def _getAttrMap(self):\\r\\n if not getattr(self, 'attrMap'):\\r\\n self.attrMap = {}\\r\\n for (key, value) in self.attrs:\\r\\n self.attrMap[key] = value\\r\\n return self.attrMap\",\n \"def getAttributeDict(self):\\n result = {}\\n dict = self.getDict()\\n for key in dict.keys():\\n value = dict.get(key)\\n if value.__class__.__name__ != 'SpecialDict':\\n result[key] = value\\n return result\",\n \"def attributes(self, *args):\\n kwargs = {}\\n if args:\\n kwargs[\\\"attributenames\\\"] = args\\n\\n r = self._token_id_request(urljoin(self._url, Client._attribute_resource), **kwargs)\\n\\n # parse contennt looking for all attributes\\n attributes = []\\n for line in r.text.splitlines():\\n r = re.match(\\\"(userdetails\\\\.attribute\\\\.name)=(.*)\\\", line)\\n if r:\\n name = r.groups()[1]\\n attributes.append([name, None])\\n continue # next line\\n\\n r = re.match(\\\"(userdetails\\\\.attribute\\\\.value)=(.*)\\\", line)\\n if r:\\n value = r.groups()[1]\\n # last name parsed is where it has to\\n # be stacked\\n if attributes[-1][1] == None:\\n attributes[-1][1] = value\\n if isinstance(attributes[-1][1], list):\\n attributes[-1][1].append(value)\\n else:\\n # cast to list\\n attributes[-1].append([attributes[-1][1], value])\\n\\n return dict([(item[0], item[1]) for item in attributes])\",\n \"def to_dict(self):\\n d = {}\\n i = 0\\n for entry in self.entries:\\n d[i] = {}\\n attributes = self.get_attribute_list()\\n print (attributes)\\n for data in attributes:\\n d[i][data] = entry.__getattribute__(data)\\n i = i + 1\\n return d\",\n \"def parse_attributes(self):\\n attrs = {}\\n error = False\\n for header, attr in self.app.config['SSO_ATTRIBUTE_MAP'].items():\\n required, name = attr\\n value = request.environ.get(header, None)\\n\\n attrs[name] = value\\n if not value or value == '':\\n if required:\\n error = True\\n return attrs, error\",\n \"def as_dict(self):\\n result = {}\\n for attr in self.__attr:\\n result[attr] = getattr(self, attr)\\n return result\",\n \"def to_json(self, attrs=None):\\n if (type(attrs) == list and\\n all(type(element) == str for element in attrs)):\\n new_dict = {}\\n for element in attrs:\\n if element in self.__dict__:\\n new_dict[element] = self.__dict__[element]\\n return (new_dict)\\n return (self.__dict__)\",\n \"def to_json(self, attrs=None):\\n if attrs is None:\\n return self.__dict__\\n a_dict = {}\\n for stuff in attrs:\\n try:\\n a_dict[stuff] = self.__dict__[stuff]\\n except:\\n pass\\n return a_dict\",\n \"def get_attrs(self):\\n attrs = []\\n for attribute in self.__dict__.keys():\\n attrs.append(attribute)\",\n \"def a_attr_dict (self) :\\n return dict (href = self.abs_href)\",\n \"def dict(self) -> dict():\\n\\n dict_reg_hive = {}\\n\\n for _attribute in self.attributes.__dict__.items():\\n if isinstance(_attribute[1], str):\\n if not True in [_attribute[1].startswith(prefix) for prefix in ['<', 'providers.', 'None']]:\\n _attribute_value = getattr(self, _attribute[1])\\n dict_reg_hive.update({_attribute[1]: _attribute_value})\\n\\n return dict_reg_hive\",\n \"def parseAttributes(self, ent_name, attrs_str):\\r\\n parts = []\\r\\n lastpos = 0\\r\\n \\r\\n while lastpos < len(attrs_str):\\r\\n newpos = self.nextString(attrs_str, lastpos)\\r\\n parts.extend(self.parseAttribute(attrs_str[lastpos:newpos-1]))\\r\\n lastpos = newpos\\r\\n \\r\\n schema_attributes = self.schema.getAttributes(ent_name)\\r\\n\\r\\n assert len(schema_attributes) == len(parts), \\\\\\r\\n \\\"Expected %s attributes, got %s (entity: %s\\\" % \\\\\\r\\n (len(schema_attributes), len(parts), ent_name)\\r\\n \\r\\n attribute_names = [a[0] for a in schema_attributes]\\r\\n \\r\\n return dict(zip(attribute_names, parts))\",\n \"def to_dict(\\n self,\\n attributes: Iterable[str] = (\\\"xyz\\\", \\\"viewdir\\\", \\\"imgsz\\\", \\\"f\\\", \\\"c\\\", \\\"k\\\", \\\"p\\\"),\\n ) -> Dict[str, tuple]:\\n return {key: helpers.numpy_to_native(getattr(self, key)) for key in attributes}\",\n \"def tags_dict(self):\\n return ({'name': 'tag', 'attrs': {'k': k, 'v': v}} for k, v in self.tags.items())\",\n \"def to_json(self, attrs=None):\\n if type(attrs) is list and all(isinstance(i, str) for i in attrs):\\n new_dict = {}\\n for k in list(self.__dict__.keys()):\\n if k in attrs:\\n new_dict[k] = self.__dict__[k]\\n return new_dict\\n\\n return self.__dict__\",\n \"def to_json(self, attrs=None):\\n\\n if attrs is None:\\n return self.__dict__\\n\\n flag_instance = 0\\n for atribute in attrs:\\n if not isinstance(atribute, str):\\n flag_instance = 1\\n\\n if flag_instance == 0:\\n dic_to_return = {}\\n for key in attrs:\\n try:\\n dic_to_return[key] = self.__dict__[key]\\n except:\\n pass\\n return dic_to_return\\n\\n return self.__dict__\",\n \"def to_json(self, attrs=None):\\n\\n if (type(attrs) == list and\\n all(type(item) == str for item in attrs)):\\n return {key: getattr(self, key) for key in attrs\\n if hasattr(self, key)}\\n return self.__dict__\",\n \"def to_dict(self):\\n if self._dict is not None:\\n return self._dict\\n\\n result = {}\\n for key in self.ATTRIBUTES:\\n value = getattr(self, key)\\n if value:\\n result[key] = value\\n self._dict = result\\n return result\",\n \"def dom2dict(element):\\n keys = list(element.attributes.keys())\\n values = [val.value for val in list(element.attributes.values())]\\n return dict(list(zip(keys, values)))\",\n \"def record_dict(self):\\n return {p.key: getattr(self, p.key) for p in self.__mapper__.attrs}\",\n \"def to_json(self, attrs=None):\\n if type(attrs) is not list:\\n return self.__dict__\\n else:\\n return dict((_key, self.__dict__[_key])\\n for _key in attrs if _key in self.__dict__)\",\n \"def to_json(self, attrs=None):\\n if type(attrs) is list:\\n my_dict = {}\\n for i in attrs:\\n if i in self.__dict__:\\n my_dict[i] = self.__dict__[i]\\n return(my_dict)\\n return(self.__dict__)\",\n \"def get_attributes_of_node(core, node):\\n attributes = {}\\n for attribute in core.get_attribute_names(node):\\n attributes[attribute] = core.get_attribute(node,attribute)\\n return attributes\",\n \"def read_global_attributes(self):\\n return self._attrs.keys()\",\n \"def convert_attr_to_dict(attr):\\n\\n\\tresult = dict()\\n\\tattr = attr.split(';')\\n\\tattrlist = [a.split(':') for a in attr]\\n\\tfor pair in attrlist:\\n\\t\\tif len(pair) == 2:\\n\\t\\t\\tkey = pair[0]\\n\\t\\t\\tvalue = pair[1]\\n\\t\\t\\tresult[key] = value\\n\\n\\treturn result\",\n \"def get_attributes(doc):\\n\\treturn doc.keys()\",\n \"def to_json(self, attrs=None):\\n if attrs is None:\\n return self.__dict__\\n if all(isinstance(at, str) for at in attrs):\\n if isinstance(attrs, list):\\n return {a: getattr(self, a) for a in attrs if hasattr(self, a)}\",\n \"def to_json(self, attrs=None):\\n res = {}\\n if attrs is not None:\\n for a in attrs:\\n try:\\n res[a] = self.__dict__[a]\\n except:\\n pass\\n return res\\n return self.__dict__\",\n \"def get_attributes(obj) -> Dict[str, Tuple[Any, str]]:\\n if is_dataclass(obj):\\n return get_dataclass_attributes(obj)\\n elif inspect.isclass(obj):\\n return get_class_attributes(obj)\\n elif inspect.ismodule(obj):\\n return get_module_attributes(obj)\\n return {}\",\n \"def transform(attrs: dict) -> dict:\\n\\n pass\",\n \"def _parse_attr(self, attr_proto):\\n attrs = {}\\n for a in attr_proto:\\n for f in ['f', 'i', 's']:\\n if a.HasField(f):\\n attrs[a.name] = getattr(a, f)\\n for f in ['floats', 'ints', 'strings']:\\n if list(getattr(a, f)):\\n assert a.name not in attrs, \\\"Only one type of attr is allowed\\\"\\n attrs[a.name] = tuple(getattr(a, f))\\n for f in ['t', 'g']:\\n if a.HasField(f):\\n attrs[a.name] = getattr(a, f)\\n for f in ['tensors', 'graphs']:\\n if list(getattr(a, f)):\\n raise NotImplementedError(\\\"Filed {} is not supported in mxnet.\\\".format(f))\\n if a.name not in attrs:\\n raise ValueError(\\\"Cannot parse attribute: \\\\n{}\\\\n.\\\".format(a))\\n return attrs\",\n \"def to_json(self, attrs=None):\\n islistofstring = True\\n if type(attrs) is not list:\\n islistofstring = False\\n else:\\n for elem in attrs:\\n if type(elem) is not str:\\n islistofstring = False\\n\\n if islistofstring is False:\\n return self.__dict__\\n\\n return {k: self.__dict__[k] for k in (self.__dict__.keys() & attrs)}\",\n \"def attributes(self):\\n _attrs = [\\\"label\\\"]\\n if self.attrs:\\n _attrs.append(\\\"attrs\\\")\\n return _attrs\",\n \"def get_attributes(self):\\n\\n endpoint = self._get_api_endpoint() + '/attributes'\\n results = self.tq.get(endpoint, withp='attribute')\\n if 'data' not in results:\\n return {}\\n\\n return results['data']\\n # tr = {}\\n # for attribute in results['data']:\\n # tr[attribute['attribute']['name']] = attribute['value']\\n # return tr\",\n \"def as_dict(self):\\n return {'name': self.name, 'attrs': self.attrs_dict, 'children': self.tags_dict}\",\n \"def _process_attrs(attrs):\\n new_attrs = OrderedDict()\\n for attr in attrs:\\n col = attr\\n if isinstance(attr, tuple):\\n col, attr = attr\\n # special cases\\n if attr == 'class_name':\\n attr = '__class__.__name__'\\n if attr == 'repr':\\n attr = repr\\n new_attrs[col] = attr\\n\\n return new_attrs\",\n \"def _attribs(self, name=None, description=None):\\n a = {}\\n if name:\\n a['name'] = name\\n if description:\\n a['description'] = description\\n return a\",\n \"def __get_smart_attr_headers_params(self, href_parsed):\\n\\n\\t\\tsmart_attr_to_drive_list_map = {}\\n\\n\\t\\th4_elements = href_parsed.find_all('h4')\\n\\t\\tsmart_attr_headers = filter(lambda x: self.SMART_ATTR_HEADER_REGEX.match(x.text), h4_elements)\\n\\n\\t\\tfor smart_attr_header in smart_attr_headers:\\n\\t\\t\\tdrives = smart_attr_header.find_next(string=self.SMART_ATTR_DRIVE_LIST_REGEX).parent.parent\\n\\t\\t\\tdrives = drives.text.split(':')[1]\\n\\t\\t\\tsmart_attr_to_drive_list_map[smart_attr_header.text] = self.__clean_drive_text(drives)\\n\\n\\t\\treturn smart_attr_to_drive_list_map\",\n \"def to_json(self, attrs=None):\\n if isinstance(attrs, list):\\n type_str = [isinstance(attr, str) for attr in attrs]\\n if all(type_str):\\n _dict = {}\\n for key in attrs:\\n if key in self.__dict__:\\n _dict[key] = self.__dict__[key]\\n return _dict\\n return self.__dict__\",\n \"def to_json(self, attrs=None):\\n\\n if attrs != None and not isinstance(attrs, list):\\n raise TypeError(\\\"attrs must me a list of strings\\\")\\n\\n if attrs != None and any(not isinstance(attr, str) for attr in attrs):\\n raise TypeError(\\\"attrs must me a list of strings\\\")\\n\\n if attrs == None:\\n return self.__dict__\\n\\n json_dic = {}\\n for key in attrs:\\n if key in self.__dict__.keys():\\n json_dic[key] = self.__dict__[key]\\n\\n return json_dic\",\n \"def to_json(self, attrs=None):\\n temp = {}\\n if attrs is not None:\\n for k, v in self.__dict__.items():\\n if k in attrs:\\n temp[k] = v\\n return temp\\n return self.__dict__\",\n \"def to_dict(self) -> Dict:\\n _dict = {}\\n if hasattr(self, 'attributes') and self.attributes is not None:\\n _dict['attributes'] = [x.to_dict() for x in self.attributes]\\n return _dict\",\n \"def AttributesFromMojom(self, mojom):\\n if not mojom.decl_data.attributes:\\n return None\\n\\n return {attr.key: attr.value for attr in mojom.decl_data.attributes}\",\n \"def attribute_to_dict(attr: onnx.AttributeProto) -> Dict:\\n ret = {}\\n for a in attr:\\n value = get_attribute_value(a)\\n if isinstance(value, bytes):\\n value = str(value, 'utf-8')\\n ret[a.name] = value\\n return ret\",\n \"def asdict(self):\\n return attr.asdict(self)\",\n \"def __convertAttributes__(xml_source):\\n attributes = {}\\n for attrName, attrValue in xml_source.attributes.items():\\n attributes[attrName] = attrValue\\n return attributes\",\n \"def attributes(self) -> Optional[Mapping[str, Sequence[str]]]:\\n return pulumi.get(self, \\\"attributes\\\")\",\n \"def values(self):\\n return self.attrs.values()\",\n \"def getAttributes(self):\\n pass\",\n \"def as_attrdict(self) -> AttributeDict:\\n return AttributeDict(\\n {\\n x: Configuration(v).as_attrdict() if isinstance(v, Mapping) else v\\n for x, v in self.items(levels=1)\\n }\\n )\",\n \"def dom2dict(element):\\n keys = list(element.attributes.keys())\\n values = [val.value for val in list(element.attributes.values())]\\n return dict(list(zip(keys, values)))\",\n \"def parseAttrs(file_name):\\n\\tlines = file(file_name).read().strip().split('\\\\n')\\n\\tlines = [x.strip() for x in lines if len(x.strip()) > 0]\\n\\treturn [parseAttrLine(x) for x in lines]\",\n \"def attribute_dict(self):\\n return self.__attribute_dict\",\n \"def apply(self, attributes):\\n return {\\n self.attribute_names[k]: v\\n for k, v in attributes.items()\\n }\",\n \"def parse_tag_attrs(self, *a, **kw):\\n return parse_tag_attrs(*a, **kw)\",\n \"def parse_tag_attrs(self, *a, **kw):\\n return parse_tag_attrs(*a, **kw)\",\n \"def to_dict(self):\\n return attr.asdict(self)\",\n \"def _get_attribute_dict(self, attributes, classname=None):\\n if attributes and isinstance(attributes, six.string_types):\\n return {\\n 'class': attributes\\n }\\n if not attributes:\\n attributes = {}\\n if not classname:\\n classname = self.DEFAULT_CLASS_NAME\\n attributes.setdefault('class', classname)\\n return attributes\",\n \"def serialize(self) -> dict:\\n\\n attributes = self.include or inspect(self).attrs.keys()\\n return {c: getattr(self, c) for c in attributes}\",\n \"def attrs(self) -> dict:\\n return self._obj.coords[GEO_MAP_COORD].attrs\",\n \"def _to_request_dict(self):\\n return {\\\"attr1\\\": self.attr1, \\\"attr2\\\": \\\"test\\\"}\",\n \"def parts(self):\\n if hasattr(self, '_parts'):\\n return self._parts\\n argspec = inspect.getargspec(self.primary_preprocessor)\\n needed_attrs = {attr_name: getattr(self, attr_name)\\n for attr_name in argspec.args}\\n if argspec.varargs:\\n needed_attrs[argspec.varargs] = getattr(self, argspec.varargs)\\n\\n if argspec.keywords:\\n needed_attrs[argspec.keywords] = getattr(self, argspec.keywords)\\n\\n return needed_attrs\",\n \"def as_dict(self):\\n return {c.key: getattr(self, c.key)\\n for c in inspect(self).mapper.column_attrs}\",\n \"def getAttributes(self, keysList=None):\\n if isinstance(keysList, list):\\n out = {}\\n for key in keysList:\\n out.update({key: self.attr(key)})\\n return out\\n return self.attributes\",\n \"def to_dictionary(self):\\n attributes = [\\\"id\\\", \\\"size\\\", \\\"x\\\", \\\"y\\\"]\\n return {key: getattr(self, key) for key in attributes}\",\n \"def attrs(self):\\n return [name for name in self.traits() if self.trait_metadata(name, \\\"attr\\\")]\",\n \"def attrs(self):\\n return [name for name in self.traits() if self.trait_metadata(name, \\\"attr\\\")]\",\n \"def get_node_attributes(graph: BaseGraph, attr_key: str) -> Dict:\\n return get_node_attributes(graph.graph, attr_key)\",\n \"def to_json(self, attrs=None):\\n d = self.__dict__\\n if attrs is None:\\n return d\\n else:\\n filt_d = {}\\n for element in attrs:\\n for key, val in d.items():\\n if element == key:\\n filt_d[key] = val\\n return filt_d\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.8419787","0.83242214","0.81790084","0.7966316","0.7808244","0.769806","0.7539741","0.7467827","0.7240442","0.72257674","0.7224075","0.71555316","0.71403545","0.7140015","0.71320254","0.7071827","0.70067286","0.7001645","0.6907734","0.6907734","0.6907734","0.68861777","0.6872678","0.6841267","0.6819184","0.68103445","0.68025863","0.67621714","0.6753748","0.6742084","0.6728685","0.67198735","0.6708074","0.66837806","0.66788805","0.6677276","0.66556257","0.6649498","0.66449946","0.66153395","0.66072476","0.6606641","0.6595259","0.65923345","0.65884286","0.6577671","0.654408","0.64758986","0.6443979","0.64420724","0.6441834","0.6429877","0.6428187","0.6421417","0.6407726","0.6405194","0.6399211","0.63932323","0.63858545","0.63725144","0.6363181","0.6361616","0.6359546","0.6358361","0.63376623","0.633664","0.63357854","0.63337034","0.63309366","0.6326467","0.63208914","0.6314263","0.63090736","0.63064784","0.62794787","0.62709","0.626559","0.6265031","0.62623453","0.6262179","0.625785","0.6254911","0.62474227","0.62389314","0.6236781","0.6227555","0.6227555","0.6222694","0.6208097","0.6201337","0.618753","0.61800754","0.6174772","0.617401","0.617374","0.61681014","0.612431","0.612431","0.61217946","0.61194813"],"string":"[\n \"0.8419787\",\n \"0.83242214\",\n \"0.81790084\",\n \"0.7966316\",\n \"0.7808244\",\n \"0.769806\",\n \"0.7539741\",\n \"0.7467827\",\n \"0.7240442\",\n \"0.72257674\",\n \"0.7224075\",\n \"0.71555316\",\n \"0.71403545\",\n \"0.7140015\",\n \"0.71320254\",\n \"0.7071827\",\n \"0.70067286\",\n \"0.7001645\",\n \"0.6907734\",\n \"0.6907734\",\n \"0.6907734\",\n \"0.68861777\",\n \"0.6872678\",\n \"0.6841267\",\n \"0.6819184\",\n \"0.68103445\",\n \"0.68025863\",\n \"0.67621714\",\n \"0.6753748\",\n \"0.6742084\",\n \"0.6728685\",\n \"0.67198735\",\n \"0.6708074\",\n \"0.66837806\",\n \"0.66788805\",\n \"0.6677276\",\n \"0.66556257\",\n \"0.6649498\",\n \"0.66449946\",\n \"0.66153395\",\n \"0.66072476\",\n \"0.6606641\",\n \"0.6595259\",\n \"0.65923345\",\n \"0.65884286\",\n \"0.6577671\",\n \"0.654408\",\n \"0.64758986\",\n \"0.6443979\",\n \"0.64420724\",\n \"0.6441834\",\n \"0.6429877\",\n \"0.6428187\",\n \"0.6421417\",\n \"0.6407726\",\n \"0.6405194\",\n \"0.6399211\",\n \"0.63932323\",\n \"0.63858545\",\n \"0.63725144\",\n \"0.6363181\",\n \"0.6361616\",\n \"0.6359546\",\n \"0.6358361\",\n \"0.63376623\",\n \"0.633664\",\n \"0.63357854\",\n \"0.63337034\",\n \"0.63309366\",\n \"0.6326467\",\n \"0.63208914\",\n \"0.6314263\",\n \"0.63090736\",\n \"0.63064784\",\n \"0.62794787\",\n \"0.62709\",\n \"0.626559\",\n \"0.6265031\",\n \"0.62623453\",\n \"0.6262179\",\n \"0.625785\",\n \"0.6254911\",\n \"0.62474227\",\n \"0.62389314\",\n \"0.6236781\",\n \"0.6227555\",\n \"0.6227555\",\n \"0.6222694\",\n \"0.6208097\",\n \"0.6201337\",\n \"0.618753\",\n \"0.61800754\",\n \"0.6174772\",\n \"0.617401\",\n \"0.617374\",\n \"0.61681014\",\n \"0.612431\",\n \"0.612431\",\n \"0.61217946\",\n \"0.61194813\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.6255561"},"document_rank":{"kind":"string","value":"81"}}},{"rowIdx":86797,"cells":{"query":{"kind":"string","value":"create attr searcher instances and execute their \"run\" method"},"document":{"kind":"string","value":"def runAttrSearchers(self,conditions,admin_obj):\n\tsearch_helper=SearchUserHelper(conditions,admin_obj)\n\tattr_searchers=self.__getAllAttrSearchers(search_helper)\n\tmap(lambda x:apply(getattr(x,\"run\")),attr_searchers)\n\treturn search_helper"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def __init__(self, *args):\n self.args = args\n self.matchers = []\n for a in args:\n if a is _:\n a = lambda k: True\n elif isinstance(a, basestring):\n a = a.__eq__\n elif isinstance(a, (list, tuple, set)):\n a = (lambda ary: (lambda k: k in ary))(a)\n elif hasattr(a, 'search'):\n a = a.search\n else:\n a = str(a).__eq__\n self.matchers.append(a)","def setup(self, args):\n for key, ags in self._mapp.items():\n arg = args.get(key)\n\n if arg: #if exist, turn aggregator actived and create a new instance a new aggregator class\n self.active = True\n return ags(arg)","def run(self, **kwargs):","def run(self, registry):","def __init__ (self, id, finder, matches):\n\t\tself.id = id\n\t\t# self.inCitesName = fullname\n\t\tfor attr in ['fullname', 'firstName', 'middleName', 'lastName', 'note']:\n\t\t\tsetattr (self, attr, getattr (finder, attr))\n\t\tself.matches = matches\n\t\tself.numMatches = len(matches)","def apply(cls, args, run):\n pass","def run(self, parsed):","def main(self):\n\n args = self.parser.parse_args()\n # Little magic/abomination to avoid a if-else\n # funct == search_all or search_any\n funct = getattr(self, \"search_\" + args.search_funct) \n cache_file_path = self.get_cache_file_path()\n\n # If cache is missing or user asked to force an update\n # then scrape the wiki\n if not os.path.isfile( cache_file_path ) or args.update:\n self.data_values = WikiTableScraper().scrapeTables()\n pickle.dump( self.data_values, open( cache_file_path, \"wb\" ) )\n # else load the minecraft objects from cache\n else:\n self.data_values = pickle.load( open( cache_file_path, \"rb\" ) )\n\n # call the search function (will return list of ids)\n for k in funct(args.words):\n print k.ljust(4), # Don't print a newline\n # Don't print the name if user requested only id's\n if not args.only_id:\n print self.data_values[k],\n print # print the newline now","def __init__(self, name, process_name, regexes):\n\n self.name = name\n self.process_name = process_name\n self.searches = [re.compile(regex).search for regex in regexes]\n self.count = 0","def __init__(self, image_dir, attr_path, selected_attrs, transform, mode):\n self.image_dir = image_dir\n self.attr_path = attr_path\n self.selected_attrs = selected_attrs\n self.transform = transform\n self.mode = mode\n self.train_dataset = []\n self.test_dataset = []\n self.attr2idx = {}\n self.idx2attr = {}\n self.preprocess()\n\n if mode == 'train':\n self.num_images = len(self.train_dataset)\n else:\n self.num_images = len(self.test_dataset)","def __init__(self, args, parsers):\n self.parsers = parsers\n self.search_fields = args.search_field if args.search_field else []","def run(self):\n self.membershipFunction()\n self.interpretingMF()\n self.rules()\n self.standardComposition_Min()\n self.standardComposition_Max()\n self.defuzzification()","def run(self):\n self._params = self.parsingcommands()\n self.start()","def __init__(self, asm, config, *args, **kwargs):\n super().__init__()\n\n self.asm = asm\n self.config = config\n\n for name in self.__dir__():\n try:\n method = getattr(self, name)\n except Exception:\n continue\n\n if hasattr(method, \"matchers\"):\n setattr(self, name, _nlp_decorator(method))","def run(self):\n self.tf_idf_scores = self.tf_idf()\n self.word_scores = self.create_word_score()\n self.keyword_scores = self.create_keyword_score()\n self.text_ranks = self.create_text_rank()\n self.pos_scores = {}\n self.z_area_scores = {}\n self.create_pos_and_area_score()\n self.all_scores = self.weight_distribution()\n self.all_scores_dict = self.get_all_scores_dict()\n return self.get_keywords()","def explore(self, *args):","def search(self, *args, **kwargs):","def run(self, *args, **kwargs):\n pass","def __call__(cls, *args):\r\n instance = type.__call__(cls, *args)\r\n for method in _get_attributes(instance, types.MethodType):\r\n attribute = getattr(method, OpenMethodAttribute.attribute_name, None)\r\n if attribute is None:\r\n continue\r\n if attribute.is_init:\r\n continue\r\n for id_obj in attribute.followers:\r\n _tdfw.regist_follower(id_obj, _weakmethod_ref(method))\r\n for id_obj in attribute.expositions:\r\n _tdfw.regist_exposition(id_obj, _weakmethod_ref(method))\r\n return instance","def _generate_evaluaters(self):\n evaluators = []\n for para_key in self.parameter[1]:\n for value in self.parameter[1][para_key]:\n evaluators.append(evaluaterSearch.evaluaterSearch(self.parameter[2], [para_key, value]))\n self.evaluators = evaluators","def run(self):\n # Look through the properties.\n for name, value in \\\n self.context.get_properties(self.path).items():\n\n # If the name doesn't match, skip this one.\n if self.nameregex \\\n and not self.nameregex.match(name): continue\n\n # If the value doesn't match, skip this one.\n if self.valueregex \\\n and not self.valueregex.search(value): continue\n\n # Execute the child actions.\n self.context.tokens['PropName'] = name\n self.context.tokens['PropValue'] = value\n exitcode = super(FilterPropList, self).run()\n\n # If only looking for the first, or an error is reported,\n # bail out early.\n if self.matchfirst or exitcode != 0: return exitcode\n\n # Handle a non-error exit.\n return 0","def __init__(self, *commands):\n \n self.cmds = dict()\n \n for nm, attr in commands:\n self[nm] = attr","def run(self, **kwargs):\n pass","def RUN(self):","def _create_evaluators(self):\n pass","def readInstances(\n self,\n makeGlyphs=True,\n makeKerning=True,\n makeInfo=True,\n bendLocations=False,\n ):\n for instanceElement in self.root.findall('.instances/instance'):\n self._readSingleInstanceElement(\n instanceElement,\n makeGlyphs=makeGlyphs,\n makeKerning=makeKerning,\n makeInfo=makeInfo,\n bendLocations=bendLocations,\n )","def run(self, dom):\n\n pass","def runNewSearch(self):\n self.__searchJob = self.__startSearch()\n\n self.monitorSearchJob()","def do_examine(self, args):\n\n name = pick(\"Agent\", self.model.get_agent_names())\n if name is not None:\n agent = self.model.get_agent(name)\n agent.examine()","def __init__(self):\n for item in grammar:\n item['matches_compiled'] = {}\n for name,pattern in item['matches'].items():\n item['matches_compiled'][name] = \\\n re.compile(pattern, re.IGNORECASE)\n\n item['semantics_compiled'] = {}\n for name,pattern in item['semantics'].items():\n item['semantics_compiled'][name] = \\\n re.compile(pattern)\n\n if constants.SPELLCHECK:\n self.didyoumean = DidYouMean('en-us', constants.DICT_DIR)","def __init__(self,classes=['normalizeText','tagger','stem','stopWord','spellChecker']):\n self._support = prebotSupport()\n self._classes = classes\n if(\"tagger\" in self._classes):\n self._tagger = tagger()\n if(\"normalizeText\" in self._classes):\n self._normalize = normalizeText()\n if(\"spellChecker\" in self._classes):\n self._spellChecker = spellChecker()\n if(\"stopWord\" in self._classes):\n self._stopWord = stopWord()\n if(\"stem\" in self._classes):\n self._stem = stemming()","def __init__(self, matcher, generate):\n self.matcher = matcher\n self._generate = generate","def run(self):\n for item_name in self.item_names:\n item = self.conn.get_attributes(self.domain_name, item_name)\n self.items.append(item)","def searchSubset(self):\n if self.dictExists is True:\n # Step 1: initialize pheromone\n self.initPheromone()\n\n # Get term count range from dictionary\n termCountRange = self.dictionary.termCount - 1\n\n # Execute searching for a number of iterations set in the constructor\n cycleIteration = 0\n\n # Create range for ants\n antRange = range(0, self.numberAnts)\n\n # This part will be executed self.numberCycles times from the constructor\n while cycleIteration < self.numberCycles:\n print '[Iteration #' + str(cycleIteration + 1) + ']'\n\n # Step 2: place ants in random features\n self.featureCounter = {} # Initialize feature counter in each iteration\n self.totalFeatureCounter = 0 # Initialize total feature counter\n\n # This vector is used to assign ants in different features randomly\n initialFeaturesValues = []\n for antNumber in antRange:\n # Assign a unique feature to each ant\n while True:\n randomFeatureValue = random.randint(0, termCountRange)\n if randomFeatureValue not in initialFeaturesValues:\n break\n\n # Assign feature to ant and save into list of visited\n antCurrentFeature = self.dictionary.postings[randomFeatureValue]\n\n # Append feature value to list\n initialFeaturesValues.append(randomFeatureValue)\n\n # Create new thread, append to list\n self.moveAnt(currentFeature=antCurrentFeature)\n\n # Step 4: global pheromone update\n self.updatePheromone(cycleIteration=cycleIteration)\n\n # Add iteration counter\n cycleIteration += 1","def bind(self):\n # clear up the objects\n self.engines = {}\n for element in self.k_spec_dict.keys():\n self.engines[element] = self._call(self.k_spec_dict[element])\n self.k_spec_dict[element]['acronym'] = self.engines[element].get_acronym()","def setup():\n global definitions\n\n # fully replace dict with AttrDict\n complete = AttrDict({})\n for k, v in definitions.items():\n data = AttrDict({})\n data.create = v['create'] if 'create' in v else 'create_' + v['stem']\n data.fetch = v['fetch'] if 'fetch' in v else v['stem'] + 's'\n data.destroy = v['destroy'] if 'destroy' in v else 'delete'\n complete[k] = data\n definitions = complete\n\n global _existing\n for r in definitions.keys():\n _existing[r] = _fetch(r)","def __init__(self, **attrs):\n \n # set given attributes\n for name, value in attrs.items():\n if hasattr(self, name):\n setattr(self, name, value)\n else:\n raise AttributeError(\"Attribute not found! --> %s\" % name)","def run(self):\n\n config = self.config\n\n # Start fuzzy matcher\n files = self.load_files_info()\n real = config.get('students.ids', [])\n matcher = FuzzyMatcher(files.keys(), real)\n\n # Remove certain matches\n author_map = matcher.remove_exact(config.get_all_student_aliases())\n matcher.fill_distances()\n matcher.set_distance_threshold(0.90)\n\n # Match each missing author with the given real name\n while matcher.shape[0] != 0 and False:\n given_, real_ = matcher.closest_pair()\n click.echo(f'\\nBest match for {given_}')\n matches = self.ask_matches(given_, matcher.best_matches(given_, 5))\n\n if matches:\n for match in matches:\n matcher.remove_pair(given_, match)\n config.add_student_aliases(match, [given_])\n author_map[given_] = match\n else:\n matcher.remove_given(given_)\n\n # Save files\n read_zip = lambda x: self.zipfile.open(x).read()\n\n for k, f in files.items():\n if k in author_map:\n data = read_zip(f.filename)\n for name in author_map[k]:\n path = Path(f'submitted/{name}/{self.category}/{self.name}.ipynb')\n path.parent.mkdir(parents=True, exist_ok=True)\n if not os.path.exists(path):\n with open(path, 'wb') as fd:\n fd.write(data)","def testattributes(self):\n for attr in ('ST', 'DX', 'IQ', 'MA', 'Dam', 'Hit'):\n AttributeAbility([attr,])","def __init__(self, *args, **kwargs):\n cls = TestUninformedWordGameSearch\n super(cls, self).__init__(*args, **kwargs) # pylint:disable=W0142\n self.search_function = search_function","def main():\n args = parse_args()\n\n make_session = bootstrap(\n 'sqlite:///{}'.format(DB_NAME),\n )\n session = make_session()\n\n for vase in session.query(Vase).order_by(Vase.produced_start):\n for query_str in make_searches(vase):\n pass","def __init__(self, grep):\r\n\r\n self.grep = grep","def __init__(self, entityType, sentenceFilter, useDetected=True):\n Finder.__init__(self, [entityType])\n self.finderType = 'clusterer'\n self.sentenceFilter = sentenceFilter\n self.useDetected = useDetected","def process(\n self,\n makeGlyphs=True,\n makeKerning=True,\n makeInfo=True,\n bendLocations=False,\n ):\n if self.logger:\n self.logger.info(\"Reading %s\", self.path)\n self.readInstances(\n makeGlyphs=makeGlyphs,\n makeKerning=makeKerning,\n makeInfo=makeInfo,\n bendLocations=bendLocations,\n )\n self.reportProgress(\"done\", 'stop')","def run_attributes (ins, exp, run) :\n t0_sec = time()\n list_of_dicts = experiment_info.run_attributes(ins, exp, run)\n #print 'run_attributes for %s %s run:%d, t(sec) = %f' % (ins, exp, run, time()-t0_sec)\n return list_of_dicts","def run(self):\r\n for item_name in self.item_names:\r\n item = self.conn.get_attributes(self.domain_name, item_name)\r\n self.items.append(item)","def run(self, args):\n pass","def find(cls, attrs):\n return [cls(data) for data in cls.db().find(attrs, True)]","def attr_matches(self, text):\n import re\n m = re.match(r\"(\\w+(\\.\\w+)*)\\.(\\w*)\", text)\n if not m:\n return []\n expr, attr = m.group(1, 3)\n try:\n thisobject = eval(expr, self.namespace)\n except Exception as e:\n return []\n\n # get the content of the object, except __builtins__\n words = dir(thisobject)\n if \"__builtins__\" in words:\n words.remove(\"__builtins__\")\n\n# if hasattr(thisobject, '__class__'):\n# words.append('__class__')\n# words.extend(get_class_members(thisobject.__class__))\n matches = []\n n = len(attr)\n for word in words:\n if word[:n] == attr and hasattr(thisobject, word) and word[0] != '_':\n val = getattr(thisobject, word)\n # Skip nested class definitions\n if isinstance(val, type):\n continue\n word = self._callable_postfix(val, \"%s.%s\" % (expr, word))\n matches.append(word)\n return matches","def run(self, __eatery_id):\n self.start = time.time()\n\t \n print __eatery_id\n instance = ClassifyReviews([eatery_id])\n instance.run()\n #return group(callback.clone([arg, __eatery_id]) for arg in __review_list)()","def invoke(self):\n # set menu handlers\n menu_handlers = [\n SearchByAuthor(self.db, self),\n SearchByName(self.db, self),\n SearchByPublishedDate(self.db, self)\n ]\n\n # display menu, get selection, and run\n is_exit = False\n while not is_exit:\n menu = ConsoleMenu(\n menu_handlers,\n \"Search Book by text:\"\n )\n menu.display_menu()\n is_exit = menu.prompt_and_invoke_option()","def search(self, *args, **kwargs): # real signature unknown\n pass","def init_attributes(self, attr_data=None):\n # (check) implement parallel multiprocessing\n # 1. Transpose csv array data\n if attr_data is None:\n attr_data = self.data.T\n self.attr_size = self.row_count\n else:\n self.attr_size = len(attr_data[self.attr_cols[0]])\n\n # 2. Construct and store 1-item_set valid bins\n # execute binary rank to calculate support of pattern\n n = self.attr_size\n valid_bins = list()\n for col in self.attr_cols:\n col_data = np.array(attr_data[col], dtype=float)\n incr = np.array((col, '+'), dtype='i, S1')\n decr = np.array((col, '-'), dtype='i, S1')\n\n # 2a. Generate 1-itemset gradual items\n with np.errstate(invalid='ignore'):\n if not self.equal:\n temp_pos = col_data < col_data[:, np.newaxis]\n else:\n temp_pos = col_data <= col_data[:, np.newaxis]\n np.fill_diagonal(temp_pos, 0)\n\n # 2b. Check support of each generated itemset\n supp = float(np.sum(temp_pos)) / float(n * (n - 1.0) / 2.0)\n if supp >= self.thd_supp:\n valid_bins.append(np.array([incr.tolist(), temp_pos], dtype=object))\n valid_bins.append(np.array([decr.tolist(), temp_pos.T], dtype=object))\n self.valid_bins = np.array(valid_bins)\n # print(self.valid_bins)\n if len(self.valid_bins) < 3:\n self.no_bins = True\n gc.collect()","def run(self):\n self.fn(*self.args, **self.kwargs)","def __init__(self):\n super(TestAnalyzer, self).__init__()\n self._results = []","def run(self):\n self.assign_inputs()\n self.execute()\n self.collect_outputs()","def _run(self):\n self._algorithm(self._list, self)","def main(self):\n\n argprs = argvparse.Argparse()\n\n lines = []\n\n if not argprs.files:\n self.read_user_input()\n lines.append(self.commandline)\n self.send_lines_to_finditer(argprs.regex, lines,\n argprs.underscore, argprs.color, argprs.machine)\n else:\n # print argprs.files\n for fl in argprs.files:\n try:\n filerd = fileread.Fileread(fl)\n self.send_lines_to_finditer(argprs.regex, filerd.lines,\n argprs.underscore, argprs.color, argprs.machine,\n filerd.shortfilename)\n except Exception as e:\n print str(e), \"\\n\"","def build_model(self):\n insts1, attrs1, rels1 = self.arg1.get_triples()\n insts2, attrs2, rels2 = self.arg2.get_triples()\n for items, shld_norm in [(insts1, True), (insts2, True), (attrs1, True),\n (attrs2, True), (rels1, False), (rels2, False)]:\n for i in range(len(items)):\n # GUROBI cant handle Unicode so step down to ASCII\n items[i] = [items[i][0].encode('ascii', 'ignore').lower(),\n items[i][1].encode('ascii', 'ignore'),\n items[i][2].encode('ascii', 'ignore')]\n # normalize concept names -- instances and attributes\n if shld_norm:\n items[i][2] = SmatchILP.normalize(items[i][2])\n\n # Attributes are same as relations\n rels1.extend(attrs1)\n rels2.extend(attrs2)\n\n log.debug(\"AMR 1 Instances:\\n %s\" % insts1)\n log.debug(\"AMR 1 Relations:\\n %s\" % rels1)\n log.debug(\"AMR 2 Instances:\\n %s\" % insts2)\n log.debug(\"AMR 2 Relations:\\n %s\" % rels2)\n\n for index, items in [(self.arg1vars, insts1), (self.arg2vars, insts2)]:\n for name, var, concept in items:\n assert name == 'instance' # relation name is instance ==> variable definition\n assert var not in index # variable name is unique\n index[var] = concept\n\n var_choices = set() # possible variable matches\n for v1 in self.arg1vars.keys():\n for v2 in self.arg2vars.keys():\n var_choices.add((v1, v2))\n\n # instances are relations too\n rels1.extend(insts1)\n rels2.extend(insts2)\n\n self.arg1size = len(rels1)\n self.arg2size = len(rels2)\n\n trpl_choices = set()\n trpl_var_consts = {}\n for name1, var11, var12 in rels1:\n id1 = \"%s:%s:%s\" % (name1, var11, var12)\n for name2, var21, var22 in rels2:\n possible = 0\n id2 = \"%s:%s:%s\" % (name2, var21, var22)\n # triple name matches && first argument to triples can be matched\n if name1 == name2 and (var11, var21) in var_choices:\n # second argument to triple can also be matched OR\n possible += 1\n if (var12, var22) in var_choices or (\n # they are the same concepts\n # var12 not in self.arg1vars and var22 not in self.arg2vars and\n var12 == var22):\n possible += 1\n trpl_choices.add((id1, id2))\n # constrains between variables and triples\n trpl_var_consts[id1, id2] = [(var11, var21)]\n # if second argument is also variable\n\n if (var12, var22) in var_choices:\n trpl_var_consts[id1, id2].append((var12, var22))\n log.debug('\\t %s <--> %s ? %s ' % (id1, id2, possible))\n\n # Add variables to ILP model\n model = GRBModel('Smatch ILP')\n if log.getLogger().getEffectiveLevel() >= log.INFO:\n model.Params.OutputFlag = 0 # disable output\n log.info(\"Number of possible variable matches %s\" % len(var_choices))\n log.info(\"Number of possible triple matches %s\" % len(trpl_choices))\n\n self.vars = model.addVars(var_choices, vtype=GRB.BINARY, name=\"v\")\n self.trpls = model.addVars(trpl_choices, vtype=GRB.BINARY, name=\"t\")\n\n # constraints\n for v1 in self.arg1vars:\n model.addConstr(self.vars.sum(v1, '*') <= 1, name='to max 1 var')\n for v2 in self.arg2vars:\n model.addConstr(self.vars.sum('*', v2) <= 1, name='from max 1 var')\n\n for trpl_idx, var_idxs in trpl_var_consts.items():\n for var_idx in var_idxs:\n model.addConstr(self.trpls[trpl_idx] <= self.vars[var_idx], name=\"%s::%s\" % (trpl_idx, var_idx))\n\n # objective\n model.setObjective(self.trpls.sum(), GRB.MAXIMIZE)\n self.model = model\n\n # stats for how big the problem is\n var_trpl_consts_count = sum(len(x) for x in trpl_var_consts.values())\n num_constr = len(var_choices) + len(trpl_choices) + var_trpl_consts_count\n num_vars = len(var_choices) + len(trpl_choices)\n log.info(\"ILP SIZE: %d binary variables (%d vars + %d triple vars)\" % (num_vars, len(var_choices), len(trpl_choices)))\n log.info(\"ILP SIZE: %d constraints (%d b/w arg vars and triples)\" % (num_constr, var_trpl_consts_count))","def get_match_criteria(self):\n #-- factory attributes ----\n print(\"\"\"\nWhat glidein/factory attributres are you using in the match expression?\nI have computed my best estimate for your match string,\nplease verify and correct if needed.\n\"\"\")\n default_factory_attributes = string.join(self.extract_factory_attrs(), ',')\n factory_attributes = raw_input(\"Factory attributes: [%s] \"%default_factory_attributes)\n if factory_attributes == \"\":\n factory_attributes = default_factory_attributes\n if factory_attributes == \"\":\n factory_attributes = []\n else:\n factory_attributes = string.split(factory_attributes, ',')\n\n #--- job_attributes --\n print(\"\"\"\nWhat job attributes are you using in the match expression?\nI have computed my best estimate for your match string,\nplease verify and correct if needed.\n\"\"\")\n default_job_attributes = string.join(self.extract_job_attrs(), ',')\n job_attributes = raw_input(\"Job attributes: [%s] \" % default_job_attributes)\n if job_attributes == \"\":\n job_attributes = default_job_attributes\n if job_attributes == \"\":\n job_attributes = []\n else:\n job_attributes = string.split(job_attributes, ',')\n\n #--- create xml ----\n data = \"\"\"\n%(indent2)s<group name=\"%(group_name)s\" enabled=\"True\">\n%(indent3)s<match match_expr=%(match_string)s start_expr=\"True\">\n%(factory_attributes)s\n%(job_attributes)s\n%(indent3)s</match>\n%(indent2)s</group>\n\"\"\" % \\\n{ \"indent2\": common.indent(2),\n \"indent3\": common.indent(3),\n \"indent4\": common.indent(4),\n \"group_name\": self.group_name(),\n \"match_string\": glideinwms.lib.xmlFormat.xml_quoteattr(self.match_string()),\n \"factory_attributes\": self.factory_data(factory_attributes),\n \"job_attributes\": self.job_data(job_attributes),\n}\n return data","def __init__(self, run):\n dict.__init__(self)\n self.read(run)","def __init__(self, search_spec=None):\n if search_spec is None or not search_spec:\n search_spec = 'orb'\n chunks = search_spec.split('-')\n if len(chunks) == 1:\n chunks.append('bf')\n elif len(chunks) != 2:\n raise ValueError('Invalid search specification: %s' % search_spec)\n detector_name, matcher_name = [x.lower() for x in chunks]\n self._detector, norm = self._init_detector(detector_name)\n self._matcher = self._init_matcher(matcher_name, norm)\n self._targets = []\n self.min_match_count = MIN_MATCH_COUNT_DEFAULT","def scan(self, attribute=None):\n\n raise NotImplementedError","def run(self, found_files):\n raise NotImplementedError","def processSearchResult(self):","def __init__(self, name=\"\"):\n super().__init__(\"search\", name)","def _run(self, *args, **kwargs):\n raise NotImplementedError","def scan_attrs(self, prob):\r\n \r\n # Keep track of the names of objects in the current problem\r\n # (useful to determine if attributes are referring to other objects)\r\n object_names = []\r\n for fig in prob['figures'].values():\r\n for object_name in fig.keys():\r\n if not object_name in object_names:\r\n object_names.append(object_name)\r\n \r\n if not 'attributes' in self.kb:\r\n self.kb['attributes'] = {}\r\n \r\n attrs = self.kb['attributes']\r\n \r\n # process the attributes in the current problem\r\n for fig in prob['figures'].values():\r\n for obj in fig.values():\r\n for attr, subvalues in obj.items():\r\n if not attr in attrs:\r\n attrs[attr] = {'values': [],\r\n 'relative': 'unknown',\r\n 'multi': 'unknown',\r\n 'count': 0}\r\n data = attrs[attr]\r\n \r\n data['count'] += 1\r\n \r\n if data['multi'] == 'unknown':\r\n if len(subvalues) > 1:\r\n data['multi'] = 'yes'\r\n else:\r\n data['multi'] = 'no'\r\n else:\r\n if len(subvalues) > 1 and data['multi'] == 'no':\r\n data['multi'] = 'sometimes'\r\n elif len(subvalues) == 1 and data['multi'] == 'yes':\r\n data['multi'] = 'sometimes'\r\n \r\n # process each subvalue\r\n values = data['values']\r\n for subvalue in subvalues:\r\n # check to see if this attr refers to other objects\r\n relative = False\r\n if subvalue in object_names:\r\n relative = True\r\n if data['relative'] == 'unknown':\r\n data['relative'] = 'yes'\r\n elif data['relative' ] == 'no':\r\n data['relative'] = 'sometimes'\r\n else:\r\n if data['relative'] == 'unknown':\r\n data['relative'] = 'no'\r\n elif data['relative'] == 'yes':\r\n data['relative'] = 'sometimes'\r\n \r\n # add this to the seen values if it isn't already\r\n # in there and it isn't a relative value\r\n if not relative and not subvalue in values:\r\n values.append(subvalue)\r\n \r\n # update the kb's attribute priorities based upon frequency of encounters\r\n \r\n sorted_attrs = sorted(attrs.items(), key=lambda attr: attr[1]['count'], reverse=True)\r\n priorities = self.kb['attribute_priorities'] = []\r\n for attr in sorted_attrs:\r\n priorities.append(attr[0])","def __init__(self, *args):\n _snap.TPredicate_swiginit(self, _snap.new_TPredicate(*args))","def _run_callbacks(cls, cb_method, *args):\n global CALLBACKS\n for c in CALLBACKS:\n attr = getattr(c, cb_method)\n attr(*args)","def run(self, __list, eatery_id):\n self.start = time.time()\n review_id = __list[0]\n review_text = __list[1]\n review_time = __list[2]\n per_review_instance = PerReview(review_id, review_text, review_time, eatery_id)\n per_review_instance.run() \n return","def run(self):","def run(self):","def run(self):","def run(self):","def run(self):","def run(self):","def run(self):","def run(self):","def run(self):","def run(self):","def run_it():\n initialize()\n parser = get_parser()\n args = None\n first_parse = True\n while(True):\n if first_parse is True:\n first_parse = False\n args = parser.parse_args()\n \n else:\n # print(textwrap.dedent(\n # '''\\\n # Search again like in the beginning.\n # -- You can either choose best rated or list mode.\n # -- This time, you can insert the search string without double quotes.\n # Remember the list mode options!\n # 0: torrent project.\n # 1: the pirate bay.\n # 2: 1337x.\n # 3: eztv.\n # 4: limetorrents.\n # 5: isohunt.\n # '''))\n sys.exit(0)\n print('Or.. if you want to exit just write \"' +\n Colors.LRED + 'Q' + Colors.ENDC + '\" or \"' +\n Colors.LRED + 'q' + Colors.ENDC + '\".')\n input_parse = input('>> ').replace(\"'\", \"\").replace('\"', '')\n if input_parse in ['Q', 'q']:\n sys.exit(1)\n\n args = parser.parse_args(input_parse.split(' ', 2))\n \n if args.str_search.strip() == \"\":\n print('Please insert an appropiate non-empty string.')\n else:\n args.str_search = args.str_search.replace('_',' ').replace(\"'\",'')\n\n movieName = args.str_search\n #print(args.str_search)\n auto = AutoPy(*insert(args))\n auto.movieName = movieName\n auto.get_content()\n auto.select_torrent()\n auto.download_torrent()","def run(self):\n for tool in self.tools:\n tool.run()\n return","def run(self):\n # For each microenvironment that the person visits\n while self.routing_node_id != 'end':\n # Get the next node, and this activity class and arguments.\n self.routing_node_id, activity_class, kwargs = self.routing.get_next_activity(self.routing_node_id)\n\n # Add this instance to the arguments list\n kwargs['person'] = self\n\n # Create a parametrised instance of the activity\n this_activity_class = activity_class(self.simulation_params, **kwargs)\n \n # set an event flag to mark end of activity and call the activity class\n finished_activity = self.env.event() \n self.env.process(this_activity_class.start(finished_activity))\n yield finished_activity","def __init__(self, *args, **kwargs):\n\n # Construct the base instance.\n super(FilterPropList, self).__init__(*args, **kwargs)\n\n # Construct the regular expression tag evaluators.\n nameregextag = self.thistag.find('PropNameRegex')\n if nameregextag != None:\n self.nameregex = RegexTag(nameregextag)\n else:\n self.nameregex = None\n\n valueregextag = self.thistag.find('PropValueRegex')\n if valueregextag != None:\n self.valueregex = RegexTag(valueregextag)\n else:\n self.valueregex = None\n\n # Make sure that at least one regular expression is specified.\n if self.nameregex == None and self.valueregex == None:\n raise ValueError('Required tag missing: '\\\n 'PropNameRegex or PropValueRegex')\n\n # Get the \"look for the first match\" flag.\n self.matchfirst = self.get_boolean('matchFirst')\n logger.debug('matchfirst = {0}'.format(self.matchfirst))\n\n # Get the path name.\n self.path = self.context.tokens['Path']\n logger.debug('path = {0}'.format(self.path))","def __init__(self, **attributes):\n for key, value in attributes.items():\n setattr(self, key, value)","def __init__(self, args):\n\n self._mapp = {\n 'top_ips': ATopIps,\n 'request_rate': ARequests,\n 'top_sources': ATopSources\n }\n\n self.active = False\n self.ag = self.setup(args)","def __init__(self, attribute_names):\r\n self.attribute_names = attribute_names\r\n self.tree = None","def train_and_eval(self):\n self.__create_indexes()\n model = None\n model = None\n if self.model == 'OMult':\n model = OMult(self.kwargs)\n elif self.model == 'ConvO':\n model = ConvO(self.kwargs)\n elif self.model == 'QMult':\n model = QMult(self.kwargs)\n elif self.model == 'ConvQ':\n model = ConvQ(self.kwargs)\n elif self.model == 'OMultBatch':\n model = OMultBatch(self.kwargs)\n elif self.model == 'ConvOBatch':\n model = ConvOBatch(self.kwargs)\n elif self.model == 'QMultBatch':\n model = QMultBatch(self.kwargs)\n elif self.model == 'ConvQBatch':\n model = ConvQBatch(self.kwargs)\n else:\n print(self.model, ' is not valid name')\n raise ValueError\n\n self.train(model)\n self.eval(model)","def _run():\n matching_terms = {'a', 'b'}\n source_counts = {'a': 10, 'b': 50, 'c': 25}\n target_counts = {'a': 4, 'b': 73, 'c': 15}\n source_chunk = ['a', 'b']\n target_chunk = ['a', 'c', 'b']\n source_distance = score.find_distance(\n matching_terms, source_chunk, source_counts)\n target_distance = score.find_distance(\n matching_terms, target_chunk, target_counts)\n match_score = score.vanilla(\n matching_terms, source_distance, target_distance, source_counts,\n target_counts)\n print('Calculated score:', match_score)","def __init__(self, cache_path=None, load=True):\n self.init(cache_path=cache_path, load=load)\n if not self.cache_path:\n return\n\n self.index = self.attributes['run_index']\n self.has_executed = False\n\n self.attrs = ExperimentAttributes(self.attributes)","def run(self):\n\t\t\n\t\tpass","def run(self, args):\n\n return","def search_runs(*args, **kwargs):\n return fluent.search_runs(*args, **kwargs)","def __call__(self, trial):\n if _is_creator(self.model):\n model = self.model(trial)\n else:\n # copy model so that the original model is not changed\n # Need tests to check this path\n model = copy.deepcopy(self.model)\n\n self._pre_train(model, trial)\n self.searcher._run(model)\n if self.mo_hpo:\n scores = []\n for metric in self.target_metric:\n if metric == self.metric:\n if self.mode == \"last\":\n score = self.searcher.trainer.callback_metrics[self.target_metric].item()\n elif self.mode == \"best\":\n score = self.searcher.trainer.callback_metrics[\"_best_score\"].item()\n else:\n score = self.searcher.trainer.callback_metrics[metric].item()\n scores.append(score)\n else:\n if self.mode == \"last\":\n scores = self.searcher.trainer.callback_metrics[self.target_metric].item()\n elif self.mode == \"best\":\n scores = self.searcher.trainer.callback_metrics[\"_best_score\"].item()\n\n if self.acceleration:\n scores, optimization = self._auto_acceleration(model, scores)\n # via user_attr returns the choosed optimization corresponding\n # to the minimum latency\n trial.set_user_attr(\"optimization\", optimization)\n self._post_train(model)\n return scores","def main():\n\n populate('monsters')\n populate('spells')\n populate('conditions')\n populate('encounters')\n populate('characters')\n populate('actions')","def __init__(self, **terms):\n self.terms = []\n for op, v in terms.iteritems():\n # use '_xx' to differentiate terms with same operator\n op = op.split('_')[0]\n if op == 'search':\n val = RegExp(v)\n elif op == 'match':\n val = RegExp(v, match=True)\n else:\n val = v\n try:\n op = self.operators[op]\n except KeyError:\n raise UnknownOperatorError(\"Operator '%s'\" % op)\n self.terms.append((op, val))","def run(self):\n # Get the child element iterator.\n if hasattr(self.thistag, 'iterfind'):\n childiter = self.thistag.iterfind(r'./*')\n else:\n childiter = self.thistag.findall(r'./*')\n\n # Execute the child actions.\n exitcode = 0\n for childtag in childiter:\n logger.debug('child tag = \"{0}\"'.format(childtag.tag))\n\n # Look for an action handler class that matches the\n # child tag name.\n action = None\n for module in actionmodules:\n try:\n action = getattr(module, childtag.tag)\n break\n except AttributeError:\n continue\n\n # Ignore non-action (parameter) tags.\n if not action: continue\n\n # Construct and run the child action.\n logger.debug('Running \"{0}\"...'.format(childtag.tag))\n try:\n exitcode = action(self.context, childtag).run()\n except Exception as e:\n logger.exception(e)\n sys.stderr.write('Internal hook error.'\n + ' Please notify administrator.')\n return -1\n\n # If the child action generated a non-zero exit code, stop\n # processing child actions.\n\n if exitcode != 0: break\n\n # Return the current exit code.\n return exitcode","def __init__(self, *args, **kwargs):\n\n # Construct the base instance.\n super(FilterPathList, self).__init__(*args, **kwargs)\n\n # Construct a regular expression tag evaluator.\n regextag = self.thistag.find('PathRegex')\n if regextag == None:\n raise ValueError('Required tag missing: PathRegex')\n self.regex = RegexTag(regextag)\n\n # Get the \"look for the first match\" flag.\n self.matchfirst = self.get_boolean('matchFirst')\n logger.debug('matchfirst = {0}'.format(self.matchfirst))\n\n # Get the list of path names.\n self.paths = self.context.tokens['Paths']\n logger.debug('paths = {0}'.format(self.paths))","def __init__(self, config=None, **kwargs):\n # TODO: would be nice to allow regexen instead of exact string matches\n super(MockContext, self).__init__(config)\n for method, results in iteritems(kwargs):\n # Special convenience case: individual Result -> one-item list\n if (\n not hasattr(results, '__iter__')\n and not isinstance(results, Result)\n # No need for explicit dict test; they have __iter__\n ):\n err = \"Not sure how to yield results from a {0!r}\"\n raise TypeError(err.format(type(results)))\n self._set(\"_{0}\".format(method), results)"],"string":"[\n \"def __init__(self, *args):\\n self.args = args\\n self.matchers = []\\n for a in args:\\n if a is _:\\n a = lambda k: True\\n elif isinstance(a, basestring):\\n a = a.__eq__\\n elif isinstance(a, (list, tuple, set)):\\n a = (lambda ary: (lambda k: k in ary))(a)\\n elif hasattr(a, 'search'):\\n a = a.search\\n else:\\n a = str(a).__eq__\\n self.matchers.append(a)\",\n \"def setup(self, args):\\n for key, ags in self._mapp.items():\\n arg = args.get(key)\\n\\n if arg: #if exist, turn aggregator actived and create a new instance a new aggregator class\\n self.active = True\\n return ags(arg)\",\n \"def run(self, **kwargs):\",\n \"def run(self, registry):\",\n \"def __init__ (self, id, finder, matches):\\n\\t\\tself.id = id\\n\\t\\t# self.inCitesName = fullname\\n\\t\\tfor attr in ['fullname', 'firstName', 'middleName', 'lastName', 'note']:\\n\\t\\t\\tsetattr (self, attr, getattr (finder, attr))\\n\\t\\tself.matches = matches\\n\\t\\tself.numMatches = len(matches)\",\n \"def apply(cls, args, run):\\n pass\",\n \"def run(self, parsed):\",\n \"def main(self):\\n\\n args = self.parser.parse_args()\\n # Little magic/abomination to avoid a if-else\\n # funct == search_all or search_any\\n funct = getattr(self, \\\"search_\\\" + args.search_funct) \\n cache_file_path = self.get_cache_file_path()\\n\\n # If cache is missing or user asked to force an update\\n # then scrape the wiki\\n if not os.path.isfile( cache_file_path ) or args.update:\\n self.data_values = WikiTableScraper().scrapeTables()\\n pickle.dump( self.data_values, open( cache_file_path, \\\"wb\\\" ) )\\n # else load the minecraft objects from cache\\n else:\\n self.data_values = pickle.load( open( cache_file_path, \\\"rb\\\" ) )\\n\\n # call the search function (will return list of ids)\\n for k in funct(args.words):\\n print k.ljust(4), # Don't print a newline\\n # Don't print the name if user requested only id's\\n if not args.only_id:\\n print self.data_values[k],\\n print # print the newline now\",\n \"def __init__(self, name, process_name, regexes):\\n\\n self.name = name\\n self.process_name = process_name\\n self.searches = [re.compile(regex).search for regex in regexes]\\n self.count = 0\",\n \"def __init__(self, image_dir, attr_path, selected_attrs, transform, mode):\\n self.image_dir = image_dir\\n self.attr_path = attr_path\\n self.selected_attrs = selected_attrs\\n self.transform = transform\\n self.mode = mode\\n self.train_dataset = []\\n self.test_dataset = []\\n self.attr2idx = {}\\n self.idx2attr = {}\\n self.preprocess()\\n\\n if mode == 'train':\\n self.num_images = len(self.train_dataset)\\n else:\\n self.num_images = len(self.test_dataset)\",\n \"def __init__(self, args, parsers):\\n self.parsers = parsers\\n self.search_fields = args.search_field if args.search_field else []\",\n \"def run(self):\\n self.membershipFunction()\\n self.interpretingMF()\\n self.rules()\\n self.standardComposition_Min()\\n self.standardComposition_Max()\\n self.defuzzification()\",\n \"def run(self):\\n self._params = self.parsingcommands()\\n self.start()\",\n \"def __init__(self, asm, config, *args, **kwargs):\\n super().__init__()\\n\\n self.asm = asm\\n self.config = config\\n\\n for name in self.__dir__():\\n try:\\n method = getattr(self, name)\\n except Exception:\\n continue\\n\\n if hasattr(method, \\\"matchers\\\"):\\n setattr(self, name, _nlp_decorator(method))\",\n \"def run(self):\\n self.tf_idf_scores = self.tf_idf()\\n self.word_scores = self.create_word_score()\\n self.keyword_scores = self.create_keyword_score()\\n self.text_ranks = self.create_text_rank()\\n self.pos_scores = {}\\n self.z_area_scores = {}\\n self.create_pos_and_area_score()\\n self.all_scores = self.weight_distribution()\\n self.all_scores_dict = self.get_all_scores_dict()\\n return self.get_keywords()\",\n \"def explore(self, *args):\",\n \"def search(self, *args, **kwargs):\",\n \"def run(self, *args, **kwargs):\\n pass\",\n \"def __call__(cls, *args):\\r\\n instance = type.__call__(cls, *args)\\r\\n for method in _get_attributes(instance, types.MethodType):\\r\\n attribute = getattr(method, OpenMethodAttribute.attribute_name, None)\\r\\n if attribute is None:\\r\\n continue\\r\\n if attribute.is_init:\\r\\n continue\\r\\n for id_obj in attribute.followers:\\r\\n _tdfw.regist_follower(id_obj, _weakmethod_ref(method))\\r\\n for id_obj in attribute.expositions:\\r\\n _tdfw.regist_exposition(id_obj, _weakmethod_ref(method))\\r\\n return instance\",\n \"def _generate_evaluaters(self):\\n evaluators = []\\n for para_key in self.parameter[1]:\\n for value in self.parameter[1][para_key]:\\n evaluators.append(evaluaterSearch.evaluaterSearch(self.parameter[2], [para_key, value]))\\n self.evaluators = evaluators\",\n \"def run(self):\\n # Look through the properties.\\n for name, value in \\\\\\n self.context.get_properties(self.path).items():\\n\\n # If the name doesn't match, skip this one.\\n if self.nameregex \\\\\\n and not self.nameregex.match(name): continue\\n\\n # If the value doesn't match, skip this one.\\n if self.valueregex \\\\\\n and not self.valueregex.search(value): continue\\n\\n # Execute the child actions.\\n self.context.tokens['PropName'] = name\\n self.context.tokens['PropValue'] = value\\n exitcode = super(FilterPropList, self).run()\\n\\n # If only looking for the first, or an error is reported,\\n # bail out early.\\n if self.matchfirst or exitcode != 0: return exitcode\\n\\n # Handle a non-error exit.\\n return 0\",\n \"def __init__(self, *commands):\\n \\n self.cmds = dict()\\n \\n for nm, attr in commands:\\n self[nm] = attr\",\n \"def run(self, **kwargs):\\n pass\",\n \"def RUN(self):\",\n \"def _create_evaluators(self):\\n pass\",\n \"def readInstances(\\n self,\\n makeGlyphs=True,\\n makeKerning=True,\\n makeInfo=True,\\n bendLocations=False,\\n ):\\n for instanceElement in self.root.findall('.instances/instance'):\\n self._readSingleInstanceElement(\\n instanceElement,\\n makeGlyphs=makeGlyphs,\\n makeKerning=makeKerning,\\n makeInfo=makeInfo,\\n bendLocations=bendLocations,\\n )\",\n \"def run(self, dom):\\n\\n pass\",\n \"def runNewSearch(self):\\n self.__searchJob = self.__startSearch()\\n\\n self.monitorSearchJob()\",\n \"def do_examine(self, args):\\n\\n name = pick(\\\"Agent\\\", self.model.get_agent_names())\\n if name is not None:\\n agent = self.model.get_agent(name)\\n agent.examine()\",\n \"def __init__(self):\\n for item in grammar:\\n item['matches_compiled'] = {}\\n for name,pattern in item['matches'].items():\\n item['matches_compiled'][name] = \\\\\\n re.compile(pattern, re.IGNORECASE)\\n\\n item['semantics_compiled'] = {}\\n for name,pattern in item['semantics'].items():\\n item['semantics_compiled'][name] = \\\\\\n re.compile(pattern)\\n\\n if constants.SPELLCHECK:\\n self.didyoumean = DidYouMean('en-us', constants.DICT_DIR)\",\n \"def __init__(self,classes=['normalizeText','tagger','stem','stopWord','spellChecker']):\\n self._support = prebotSupport()\\n self._classes = classes\\n if(\\\"tagger\\\" in self._classes):\\n self._tagger = tagger()\\n if(\\\"normalizeText\\\" in self._classes):\\n self._normalize = normalizeText()\\n if(\\\"spellChecker\\\" in self._classes):\\n self._spellChecker = spellChecker()\\n if(\\\"stopWord\\\" in self._classes):\\n self._stopWord = stopWord()\\n if(\\\"stem\\\" in self._classes):\\n self._stem = stemming()\",\n \"def __init__(self, matcher, generate):\\n self.matcher = matcher\\n self._generate = generate\",\n \"def run(self):\\n for item_name in self.item_names:\\n item = self.conn.get_attributes(self.domain_name, item_name)\\n self.items.append(item)\",\n \"def searchSubset(self):\\n if self.dictExists is True:\\n # Step 1: initialize pheromone\\n self.initPheromone()\\n\\n # Get term count range from dictionary\\n termCountRange = self.dictionary.termCount - 1\\n\\n # Execute searching for a number of iterations set in the constructor\\n cycleIteration = 0\\n\\n # Create range for ants\\n antRange = range(0, self.numberAnts)\\n\\n # This part will be executed self.numberCycles times from the constructor\\n while cycleIteration < self.numberCycles:\\n print '[Iteration #' + str(cycleIteration + 1) + ']'\\n\\n # Step 2: place ants in random features\\n self.featureCounter = {} # Initialize feature counter in each iteration\\n self.totalFeatureCounter = 0 # Initialize total feature counter\\n\\n # This vector is used to assign ants in different features randomly\\n initialFeaturesValues = []\\n for antNumber in antRange:\\n # Assign a unique feature to each ant\\n while True:\\n randomFeatureValue = random.randint(0, termCountRange)\\n if randomFeatureValue not in initialFeaturesValues:\\n break\\n\\n # Assign feature to ant and save into list of visited\\n antCurrentFeature = self.dictionary.postings[randomFeatureValue]\\n\\n # Append feature value to list\\n initialFeaturesValues.append(randomFeatureValue)\\n\\n # Create new thread, append to list\\n self.moveAnt(currentFeature=antCurrentFeature)\\n\\n # Step 4: global pheromone update\\n self.updatePheromone(cycleIteration=cycleIteration)\\n\\n # Add iteration counter\\n cycleIteration += 1\",\n \"def bind(self):\\n # clear up the objects\\n self.engines = {}\\n for element in self.k_spec_dict.keys():\\n self.engines[element] = self._call(self.k_spec_dict[element])\\n self.k_spec_dict[element]['acronym'] = self.engines[element].get_acronym()\",\n \"def setup():\\n global definitions\\n\\n # fully replace dict with AttrDict\\n complete = AttrDict({})\\n for k, v in definitions.items():\\n data = AttrDict({})\\n data.create = v['create'] if 'create' in v else 'create_' + v['stem']\\n data.fetch = v['fetch'] if 'fetch' in v else v['stem'] + 's'\\n data.destroy = v['destroy'] if 'destroy' in v else 'delete'\\n complete[k] = data\\n definitions = complete\\n\\n global _existing\\n for r in definitions.keys():\\n _existing[r] = _fetch(r)\",\n \"def __init__(self, **attrs):\\n \\n # set given attributes\\n for name, value in attrs.items():\\n if hasattr(self, name):\\n setattr(self, name, value)\\n else:\\n raise AttributeError(\\\"Attribute not found! --> %s\\\" % name)\",\n \"def run(self):\\n\\n config = self.config\\n\\n # Start fuzzy matcher\\n files = self.load_files_info()\\n real = config.get('students.ids', [])\\n matcher = FuzzyMatcher(files.keys(), real)\\n\\n # Remove certain matches\\n author_map = matcher.remove_exact(config.get_all_student_aliases())\\n matcher.fill_distances()\\n matcher.set_distance_threshold(0.90)\\n\\n # Match each missing author with the given real name\\n while matcher.shape[0] != 0 and False:\\n given_, real_ = matcher.closest_pair()\\n click.echo(f'\\\\nBest match for {given_}')\\n matches = self.ask_matches(given_, matcher.best_matches(given_, 5))\\n\\n if matches:\\n for match in matches:\\n matcher.remove_pair(given_, match)\\n config.add_student_aliases(match, [given_])\\n author_map[given_] = match\\n else:\\n matcher.remove_given(given_)\\n\\n # Save files\\n read_zip = lambda x: self.zipfile.open(x).read()\\n\\n for k, f in files.items():\\n if k in author_map:\\n data = read_zip(f.filename)\\n for name in author_map[k]:\\n path = Path(f'submitted/{name}/{self.category}/{self.name}.ipynb')\\n path.parent.mkdir(parents=True, exist_ok=True)\\n if not os.path.exists(path):\\n with open(path, 'wb') as fd:\\n fd.write(data)\",\n \"def testattributes(self):\\n for attr in ('ST', 'DX', 'IQ', 'MA', 'Dam', 'Hit'):\\n AttributeAbility([attr,])\",\n \"def __init__(self, *args, **kwargs):\\n cls = TestUninformedWordGameSearch\\n super(cls, self).__init__(*args, **kwargs) # pylint:disable=W0142\\n self.search_function = search_function\",\n \"def main():\\n args = parse_args()\\n\\n make_session = bootstrap(\\n 'sqlite:///{}'.format(DB_NAME),\\n )\\n session = make_session()\\n\\n for vase in session.query(Vase).order_by(Vase.produced_start):\\n for query_str in make_searches(vase):\\n pass\",\n \"def __init__(self, grep):\\r\\n\\r\\n self.grep = grep\",\n \"def __init__(self, entityType, sentenceFilter, useDetected=True):\\n Finder.__init__(self, [entityType])\\n self.finderType = 'clusterer'\\n self.sentenceFilter = sentenceFilter\\n self.useDetected = useDetected\",\n \"def process(\\n self,\\n makeGlyphs=True,\\n makeKerning=True,\\n makeInfo=True,\\n bendLocations=False,\\n ):\\n if self.logger:\\n self.logger.info(\\\"Reading %s\\\", self.path)\\n self.readInstances(\\n makeGlyphs=makeGlyphs,\\n makeKerning=makeKerning,\\n makeInfo=makeInfo,\\n bendLocations=bendLocations,\\n )\\n self.reportProgress(\\\"done\\\", 'stop')\",\n \"def run_attributes (ins, exp, run) :\\n t0_sec = time()\\n list_of_dicts = experiment_info.run_attributes(ins, exp, run)\\n #print 'run_attributes for %s %s run:%d, t(sec) = %f' % (ins, exp, run, time()-t0_sec)\\n return list_of_dicts\",\n \"def run(self):\\r\\n for item_name in self.item_names:\\r\\n item = self.conn.get_attributes(self.domain_name, item_name)\\r\\n self.items.append(item)\",\n \"def run(self, args):\\n pass\",\n \"def find(cls, attrs):\\n return [cls(data) for data in cls.db().find(attrs, True)]\",\n \"def attr_matches(self, text):\\n import re\\n m = re.match(r\\\"(\\\\w+(\\\\.\\\\w+)*)\\\\.(\\\\w*)\\\", text)\\n if not m:\\n return []\\n expr, attr = m.group(1, 3)\\n try:\\n thisobject = eval(expr, self.namespace)\\n except Exception as e:\\n return []\\n\\n # get the content of the object, except __builtins__\\n words = dir(thisobject)\\n if \\\"__builtins__\\\" in words:\\n words.remove(\\\"__builtins__\\\")\\n\\n# if hasattr(thisobject, '__class__'):\\n# words.append('__class__')\\n# words.extend(get_class_members(thisobject.__class__))\\n matches = []\\n n = len(attr)\\n for word in words:\\n if word[:n] == attr and hasattr(thisobject, word) and word[0] != '_':\\n val = getattr(thisobject, word)\\n # Skip nested class definitions\\n if isinstance(val, type):\\n continue\\n word = self._callable_postfix(val, \\\"%s.%s\\\" % (expr, word))\\n matches.append(word)\\n return matches\",\n \"def run(self, __eatery_id):\\n self.start = time.time()\\n\\t \\n print __eatery_id\\n instance = ClassifyReviews([eatery_id])\\n instance.run()\\n #return group(callback.clone([arg, __eatery_id]) for arg in __review_list)()\",\n \"def invoke(self):\\n # set menu handlers\\n menu_handlers = [\\n SearchByAuthor(self.db, self),\\n SearchByName(self.db, self),\\n SearchByPublishedDate(self.db, self)\\n ]\\n\\n # display menu, get selection, and run\\n is_exit = False\\n while not is_exit:\\n menu = ConsoleMenu(\\n menu_handlers,\\n \\\"Search Book by text:\\\"\\n )\\n menu.display_menu()\\n is_exit = menu.prompt_and_invoke_option()\",\n \"def search(self, *args, **kwargs): # real signature unknown\\n pass\",\n \"def init_attributes(self, attr_data=None):\\n # (check) implement parallel multiprocessing\\n # 1. Transpose csv array data\\n if attr_data is None:\\n attr_data = self.data.T\\n self.attr_size = self.row_count\\n else:\\n self.attr_size = len(attr_data[self.attr_cols[0]])\\n\\n # 2. Construct and store 1-item_set valid bins\\n # execute binary rank to calculate support of pattern\\n n = self.attr_size\\n valid_bins = list()\\n for col in self.attr_cols:\\n col_data = np.array(attr_data[col], dtype=float)\\n incr = np.array((col, '+'), dtype='i, S1')\\n decr = np.array((col, '-'), dtype='i, S1')\\n\\n # 2a. Generate 1-itemset gradual items\\n with np.errstate(invalid='ignore'):\\n if not self.equal:\\n temp_pos = col_data < col_data[:, np.newaxis]\\n else:\\n temp_pos = col_data <= col_data[:, np.newaxis]\\n np.fill_diagonal(temp_pos, 0)\\n\\n # 2b. Check support of each generated itemset\\n supp = float(np.sum(temp_pos)) / float(n * (n - 1.0) / 2.0)\\n if supp >= self.thd_supp:\\n valid_bins.append(np.array([incr.tolist(), temp_pos], dtype=object))\\n valid_bins.append(np.array([decr.tolist(), temp_pos.T], dtype=object))\\n self.valid_bins = np.array(valid_bins)\\n # print(self.valid_bins)\\n if len(self.valid_bins) < 3:\\n self.no_bins = True\\n gc.collect()\",\n \"def run(self):\\n self.fn(*self.args, **self.kwargs)\",\n \"def __init__(self):\\n super(TestAnalyzer, self).__init__()\\n self._results = []\",\n \"def run(self):\\n self.assign_inputs()\\n self.execute()\\n self.collect_outputs()\",\n \"def _run(self):\\n self._algorithm(self._list, self)\",\n \"def main(self):\\n\\n argprs = argvparse.Argparse()\\n\\n lines = []\\n\\n if not argprs.files:\\n self.read_user_input()\\n lines.append(self.commandline)\\n self.send_lines_to_finditer(argprs.regex, lines,\\n argprs.underscore, argprs.color, argprs.machine)\\n else:\\n # print argprs.files\\n for fl in argprs.files:\\n try:\\n filerd = fileread.Fileread(fl)\\n self.send_lines_to_finditer(argprs.regex, filerd.lines,\\n argprs.underscore, argprs.color, argprs.machine,\\n filerd.shortfilename)\\n except Exception as e:\\n print str(e), \\\"\\\\n\\\"\",\n \"def build_model(self):\\n insts1, attrs1, rels1 = self.arg1.get_triples()\\n insts2, attrs2, rels2 = self.arg2.get_triples()\\n for items, shld_norm in [(insts1, True), (insts2, True), (attrs1, True),\\n (attrs2, True), (rels1, False), (rels2, False)]:\\n for i in range(len(items)):\\n # GUROBI cant handle Unicode so step down to ASCII\\n items[i] = [items[i][0].encode('ascii', 'ignore').lower(),\\n items[i][1].encode('ascii', 'ignore'),\\n items[i][2].encode('ascii', 'ignore')]\\n # normalize concept names -- instances and attributes\\n if shld_norm:\\n items[i][2] = SmatchILP.normalize(items[i][2])\\n\\n # Attributes are same as relations\\n rels1.extend(attrs1)\\n rels2.extend(attrs2)\\n\\n log.debug(\\\"AMR 1 Instances:\\\\n %s\\\" % insts1)\\n log.debug(\\\"AMR 1 Relations:\\\\n %s\\\" % rels1)\\n log.debug(\\\"AMR 2 Instances:\\\\n %s\\\" % insts2)\\n log.debug(\\\"AMR 2 Relations:\\\\n %s\\\" % rels2)\\n\\n for index, items in [(self.arg1vars, insts1), (self.arg2vars, insts2)]:\\n for name, var, concept in items:\\n assert name == 'instance' # relation name is instance ==> variable definition\\n assert var not in index # variable name is unique\\n index[var] = concept\\n\\n var_choices = set() # possible variable matches\\n for v1 in self.arg1vars.keys():\\n for v2 in self.arg2vars.keys():\\n var_choices.add((v1, v2))\\n\\n # instances are relations too\\n rels1.extend(insts1)\\n rels2.extend(insts2)\\n\\n self.arg1size = len(rels1)\\n self.arg2size = len(rels2)\\n\\n trpl_choices = set()\\n trpl_var_consts = {}\\n for name1, var11, var12 in rels1:\\n id1 = \\\"%s:%s:%s\\\" % (name1, var11, var12)\\n for name2, var21, var22 in rels2:\\n possible = 0\\n id2 = \\\"%s:%s:%s\\\" % (name2, var21, var22)\\n # triple name matches && first argument to triples can be matched\\n if name1 == name2 and (var11, var21) in var_choices:\\n # second argument to triple can also be matched OR\\n possible += 1\\n if (var12, var22) in var_choices or (\\n # they are the same concepts\\n # var12 not in self.arg1vars and var22 not in self.arg2vars and\\n var12 == var22):\\n possible += 1\\n trpl_choices.add((id1, id2))\\n # constrains between variables and triples\\n trpl_var_consts[id1, id2] = [(var11, var21)]\\n # if second argument is also variable\\n\\n if (var12, var22) in var_choices:\\n trpl_var_consts[id1, id2].append((var12, var22))\\n log.debug('\\\\t %s <--> %s ? %s ' % (id1, id2, possible))\\n\\n # Add variables to ILP model\\n model = GRBModel('Smatch ILP')\\n if log.getLogger().getEffectiveLevel() >= log.INFO:\\n model.Params.OutputFlag = 0 # disable output\\n log.info(\\\"Number of possible variable matches %s\\\" % len(var_choices))\\n log.info(\\\"Number of possible triple matches %s\\\" % len(trpl_choices))\\n\\n self.vars = model.addVars(var_choices, vtype=GRB.BINARY, name=\\\"v\\\")\\n self.trpls = model.addVars(trpl_choices, vtype=GRB.BINARY, name=\\\"t\\\")\\n\\n # constraints\\n for v1 in self.arg1vars:\\n model.addConstr(self.vars.sum(v1, '*') <= 1, name='to max 1 var')\\n for v2 in self.arg2vars:\\n model.addConstr(self.vars.sum('*', v2) <= 1, name='from max 1 var')\\n\\n for trpl_idx, var_idxs in trpl_var_consts.items():\\n for var_idx in var_idxs:\\n model.addConstr(self.trpls[trpl_idx] <= self.vars[var_idx], name=\\\"%s::%s\\\" % (trpl_idx, var_idx))\\n\\n # objective\\n model.setObjective(self.trpls.sum(), GRB.MAXIMIZE)\\n self.model = model\\n\\n # stats for how big the problem is\\n var_trpl_consts_count = sum(len(x) for x in trpl_var_consts.values())\\n num_constr = len(var_choices) + len(trpl_choices) + var_trpl_consts_count\\n num_vars = len(var_choices) + len(trpl_choices)\\n log.info(\\\"ILP SIZE: %d binary variables (%d vars + %d triple vars)\\\" % (num_vars, len(var_choices), len(trpl_choices)))\\n log.info(\\\"ILP SIZE: %d constraints (%d b/w arg vars and triples)\\\" % (num_constr, var_trpl_consts_count))\",\n \"def get_match_criteria(self):\\n #-- factory attributes ----\\n print(\\\"\\\"\\\"\\nWhat glidein/factory attributres are you using in the match expression?\\nI have computed my best estimate for your match string,\\nplease verify and correct if needed.\\n\\\"\\\"\\\")\\n default_factory_attributes = string.join(self.extract_factory_attrs(), ',')\\n factory_attributes = raw_input(\\\"Factory attributes: [%s] \\\"%default_factory_attributes)\\n if factory_attributes == \\\"\\\":\\n factory_attributes = default_factory_attributes\\n if factory_attributes == \\\"\\\":\\n factory_attributes = []\\n else:\\n factory_attributes = string.split(factory_attributes, ',')\\n\\n #--- job_attributes --\\n print(\\\"\\\"\\\"\\nWhat job attributes are you using in the match expression?\\nI have computed my best estimate for your match string,\\nplease verify and correct if needed.\\n\\\"\\\"\\\")\\n default_job_attributes = string.join(self.extract_job_attrs(), ',')\\n job_attributes = raw_input(\\\"Job attributes: [%s] \\\" % default_job_attributes)\\n if job_attributes == \\\"\\\":\\n job_attributes = default_job_attributes\\n if job_attributes == \\\"\\\":\\n job_attributes = []\\n else:\\n job_attributes = string.split(job_attributes, ',')\\n\\n #--- create xml ----\\n data = \\\"\\\"\\\"\\n%(indent2)s<group name=\\\"%(group_name)s\\\" enabled=\\\"True\\\">\\n%(indent3)s<match match_expr=%(match_string)s start_expr=\\\"True\\\">\\n%(factory_attributes)s\\n%(job_attributes)s\\n%(indent3)s</match>\\n%(indent2)s</group>\\n\\\"\\\"\\\" % \\\\\\n{ \\\"indent2\\\": common.indent(2),\\n \\\"indent3\\\": common.indent(3),\\n \\\"indent4\\\": common.indent(4),\\n \\\"group_name\\\": self.group_name(),\\n \\\"match_string\\\": glideinwms.lib.xmlFormat.xml_quoteattr(self.match_string()),\\n \\\"factory_attributes\\\": self.factory_data(factory_attributes),\\n \\\"job_attributes\\\": self.job_data(job_attributes),\\n}\\n return data\",\n \"def __init__(self, run):\\n dict.__init__(self)\\n self.read(run)\",\n \"def __init__(self, search_spec=None):\\n if search_spec is None or not search_spec:\\n search_spec = 'orb'\\n chunks = search_spec.split('-')\\n if len(chunks) == 1:\\n chunks.append('bf')\\n elif len(chunks) != 2:\\n raise ValueError('Invalid search specification: %s' % search_spec)\\n detector_name, matcher_name = [x.lower() for x in chunks]\\n self._detector, norm = self._init_detector(detector_name)\\n self._matcher = self._init_matcher(matcher_name, norm)\\n self._targets = []\\n self.min_match_count = MIN_MATCH_COUNT_DEFAULT\",\n \"def scan(self, attribute=None):\\n\\n raise NotImplementedError\",\n \"def run(self, found_files):\\n raise NotImplementedError\",\n \"def processSearchResult(self):\",\n \"def __init__(self, name=\\\"\\\"):\\n super().__init__(\\\"search\\\", name)\",\n \"def _run(self, *args, **kwargs):\\n raise NotImplementedError\",\n \"def scan_attrs(self, prob):\\r\\n \\r\\n # Keep track of the names of objects in the current problem\\r\\n # (useful to determine if attributes are referring to other objects)\\r\\n object_names = []\\r\\n for fig in prob['figures'].values():\\r\\n for object_name in fig.keys():\\r\\n if not object_name in object_names:\\r\\n object_names.append(object_name)\\r\\n \\r\\n if not 'attributes' in self.kb:\\r\\n self.kb['attributes'] = {}\\r\\n \\r\\n attrs = self.kb['attributes']\\r\\n \\r\\n # process the attributes in the current problem\\r\\n for fig in prob['figures'].values():\\r\\n for obj in fig.values():\\r\\n for attr, subvalues in obj.items():\\r\\n if not attr in attrs:\\r\\n attrs[attr] = {'values': [],\\r\\n 'relative': 'unknown',\\r\\n 'multi': 'unknown',\\r\\n 'count': 0}\\r\\n data = attrs[attr]\\r\\n \\r\\n data['count'] += 1\\r\\n \\r\\n if data['multi'] == 'unknown':\\r\\n if len(subvalues) > 1:\\r\\n data['multi'] = 'yes'\\r\\n else:\\r\\n data['multi'] = 'no'\\r\\n else:\\r\\n if len(subvalues) > 1 and data['multi'] == 'no':\\r\\n data['multi'] = 'sometimes'\\r\\n elif len(subvalues) == 1 and data['multi'] == 'yes':\\r\\n data['multi'] = 'sometimes'\\r\\n \\r\\n # process each subvalue\\r\\n values = data['values']\\r\\n for subvalue in subvalues:\\r\\n # check to see if this attr refers to other objects\\r\\n relative = False\\r\\n if subvalue in object_names:\\r\\n relative = True\\r\\n if data['relative'] == 'unknown':\\r\\n data['relative'] = 'yes'\\r\\n elif data['relative' ] == 'no':\\r\\n data['relative'] = 'sometimes'\\r\\n else:\\r\\n if data['relative'] == 'unknown':\\r\\n data['relative'] = 'no'\\r\\n elif data['relative'] == 'yes':\\r\\n data['relative'] = 'sometimes'\\r\\n \\r\\n # add this to the seen values if it isn't already\\r\\n # in there and it isn't a relative value\\r\\n if not relative and not subvalue in values:\\r\\n values.append(subvalue)\\r\\n \\r\\n # update the kb's attribute priorities based upon frequency of encounters\\r\\n \\r\\n sorted_attrs = sorted(attrs.items(), key=lambda attr: attr[1]['count'], reverse=True)\\r\\n priorities = self.kb['attribute_priorities'] = []\\r\\n for attr in sorted_attrs:\\r\\n priorities.append(attr[0])\",\n \"def __init__(self, *args):\\n _snap.TPredicate_swiginit(self, _snap.new_TPredicate(*args))\",\n \"def _run_callbacks(cls, cb_method, *args):\\n global CALLBACKS\\n for c in CALLBACKS:\\n attr = getattr(c, cb_method)\\n attr(*args)\",\n \"def run(self, __list, eatery_id):\\n self.start = time.time()\\n review_id = __list[0]\\n review_text = __list[1]\\n review_time = __list[2]\\n per_review_instance = PerReview(review_id, review_text, review_time, eatery_id)\\n per_review_instance.run() \\n return\",\n \"def run(self):\",\n \"def run(self):\",\n \"def run(self):\",\n \"def run(self):\",\n \"def run(self):\",\n \"def run(self):\",\n \"def run(self):\",\n \"def run(self):\",\n \"def run(self):\",\n \"def run(self):\",\n \"def run_it():\\n initialize()\\n parser = get_parser()\\n args = None\\n first_parse = True\\n while(True):\\n if first_parse is True:\\n first_parse = False\\n args = parser.parse_args()\\n \\n else:\\n # print(textwrap.dedent(\\n # '''\\\\\\n # Search again like in the beginning.\\n # -- You can either choose best rated or list mode.\\n # -- This time, you can insert the search string without double quotes.\\n # Remember the list mode options!\\n # 0: torrent project.\\n # 1: the pirate bay.\\n # 2: 1337x.\\n # 3: eztv.\\n # 4: limetorrents.\\n # 5: isohunt.\\n # '''))\\n sys.exit(0)\\n print('Or.. if you want to exit just write \\\"' +\\n Colors.LRED + 'Q' + Colors.ENDC + '\\\" or \\\"' +\\n Colors.LRED + 'q' + Colors.ENDC + '\\\".')\\n input_parse = input('>> ').replace(\\\"'\\\", \\\"\\\").replace('\\\"', '')\\n if input_parse in ['Q', 'q']:\\n sys.exit(1)\\n\\n args = parser.parse_args(input_parse.split(' ', 2))\\n \\n if args.str_search.strip() == \\\"\\\":\\n print('Please insert an appropiate non-empty string.')\\n else:\\n args.str_search = args.str_search.replace('_',' ').replace(\\\"'\\\",'')\\n\\n movieName = args.str_search\\n #print(args.str_search)\\n auto = AutoPy(*insert(args))\\n auto.movieName = movieName\\n auto.get_content()\\n auto.select_torrent()\\n auto.download_torrent()\",\n \"def run(self):\\n for tool in self.tools:\\n tool.run()\\n return\",\n \"def run(self):\\n # For each microenvironment that the person visits\\n while self.routing_node_id != 'end':\\n # Get the next node, and this activity class and arguments.\\n self.routing_node_id, activity_class, kwargs = self.routing.get_next_activity(self.routing_node_id)\\n\\n # Add this instance to the arguments list\\n kwargs['person'] = self\\n\\n # Create a parametrised instance of the activity\\n this_activity_class = activity_class(self.simulation_params, **kwargs)\\n \\n # set an event flag to mark end of activity and call the activity class\\n finished_activity = self.env.event() \\n self.env.process(this_activity_class.start(finished_activity))\\n yield finished_activity\",\n \"def __init__(self, *args, **kwargs):\\n\\n # Construct the base instance.\\n super(FilterPropList, self).__init__(*args, **kwargs)\\n\\n # Construct the regular expression tag evaluators.\\n nameregextag = self.thistag.find('PropNameRegex')\\n if nameregextag != None:\\n self.nameregex = RegexTag(nameregextag)\\n else:\\n self.nameregex = None\\n\\n valueregextag = self.thistag.find('PropValueRegex')\\n if valueregextag != None:\\n self.valueregex = RegexTag(valueregextag)\\n else:\\n self.valueregex = None\\n\\n # Make sure that at least one regular expression is specified.\\n if self.nameregex == None and self.valueregex == None:\\n raise ValueError('Required tag missing: '\\\\\\n 'PropNameRegex or PropValueRegex')\\n\\n # Get the \\\"look for the first match\\\" flag.\\n self.matchfirst = self.get_boolean('matchFirst')\\n logger.debug('matchfirst = {0}'.format(self.matchfirst))\\n\\n # Get the path name.\\n self.path = self.context.tokens['Path']\\n logger.debug('path = {0}'.format(self.path))\",\n \"def __init__(self, **attributes):\\n for key, value in attributes.items():\\n setattr(self, key, value)\",\n \"def __init__(self, args):\\n\\n self._mapp = {\\n 'top_ips': ATopIps,\\n 'request_rate': ARequests,\\n 'top_sources': ATopSources\\n }\\n\\n self.active = False\\n self.ag = self.setup(args)\",\n \"def __init__(self, attribute_names):\\r\\n self.attribute_names = attribute_names\\r\\n self.tree = None\",\n \"def train_and_eval(self):\\n self.__create_indexes()\\n model = None\\n model = None\\n if self.model == 'OMult':\\n model = OMult(self.kwargs)\\n elif self.model == 'ConvO':\\n model = ConvO(self.kwargs)\\n elif self.model == 'QMult':\\n model = QMult(self.kwargs)\\n elif self.model == 'ConvQ':\\n model = ConvQ(self.kwargs)\\n elif self.model == 'OMultBatch':\\n model = OMultBatch(self.kwargs)\\n elif self.model == 'ConvOBatch':\\n model = ConvOBatch(self.kwargs)\\n elif self.model == 'QMultBatch':\\n model = QMultBatch(self.kwargs)\\n elif self.model == 'ConvQBatch':\\n model = ConvQBatch(self.kwargs)\\n else:\\n print(self.model, ' is not valid name')\\n raise ValueError\\n\\n self.train(model)\\n self.eval(model)\",\n \"def _run():\\n matching_terms = {'a', 'b'}\\n source_counts = {'a': 10, 'b': 50, 'c': 25}\\n target_counts = {'a': 4, 'b': 73, 'c': 15}\\n source_chunk = ['a', 'b']\\n target_chunk = ['a', 'c', 'b']\\n source_distance = score.find_distance(\\n matching_terms, source_chunk, source_counts)\\n target_distance = score.find_distance(\\n matching_terms, target_chunk, target_counts)\\n match_score = score.vanilla(\\n matching_terms, source_distance, target_distance, source_counts,\\n target_counts)\\n print('Calculated score:', match_score)\",\n \"def __init__(self, cache_path=None, load=True):\\n self.init(cache_path=cache_path, load=load)\\n if not self.cache_path:\\n return\\n\\n self.index = self.attributes['run_index']\\n self.has_executed = False\\n\\n self.attrs = ExperimentAttributes(self.attributes)\",\n \"def run(self):\\n\\t\\t\\n\\t\\tpass\",\n \"def run(self, args):\\n\\n return\",\n \"def search_runs(*args, **kwargs):\\n return fluent.search_runs(*args, **kwargs)\",\n \"def __call__(self, trial):\\n if _is_creator(self.model):\\n model = self.model(trial)\\n else:\\n # copy model so that the original model is not changed\\n # Need tests to check this path\\n model = copy.deepcopy(self.model)\\n\\n self._pre_train(model, trial)\\n self.searcher._run(model)\\n if self.mo_hpo:\\n scores = []\\n for metric in self.target_metric:\\n if metric == self.metric:\\n if self.mode == \\\"last\\\":\\n score = self.searcher.trainer.callback_metrics[self.target_metric].item()\\n elif self.mode == \\\"best\\\":\\n score = self.searcher.trainer.callback_metrics[\\\"_best_score\\\"].item()\\n else:\\n score = self.searcher.trainer.callback_metrics[metric].item()\\n scores.append(score)\\n else:\\n if self.mode == \\\"last\\\":\\n scores = self.searcher.trainer.callback_metrics[self.target_metric].item()\\n elif self.mode == \\\"best\\\":\\n scores = self.searcher.trainer.callback_metrics[\\\"_best_score\\\"].item()\\n\\n if self.acceleration:\\n scores, optimization = self._auto_acceleration(model, scores)\\n # via user_attr returns the choosed optimization corresponding\\n # to the minimum latency\\n trial.set_user_attr(\\\"optimization\\\", optimization)\\n self._post_train(model)\\n return scores\",\n \"def main():\\n\\n populate('monsters')\\n populate('spells')\\n populate('conditions')\\n populate('encounters')\\n populate('characters')\\n populate('actions')\",\n \"def __init__(self, **terms):\\n self.terms = []\\n for op, v in terms.iteritems():\\n # use '_xx' to differentiate terms with same operator\\n op = op.split('_')[0]\\n if op == 'search':\\n val = RegExp(v)\\n elif op == 'match':\\n val = RegExp(v, match=True)\\n else:\\n val = v\\n try:\\n op = self.operators[op]\\n except KeyError:\\n raise UnknownOperatorError(\\\"Operator '%s'\\\" % op)\\n self.terms.append((op, val))\",\n \"def run(self):\\n # Get the child element iterator.\\n if hasattr(self.thistag, 'iterfind'):\\n childiter = self.thistag.iterfind(r'./*')\\n else:\\n childiter = self.thistag.findall(r'./*')\\n\\n # Execute the child actions.\\n exitcode = 0\\n for childtag in childiter:\\n logger.debug('child tag = \\\"{0}\\\"'.format(childtag.tag))\\n\\n # Look for an action handler class that matches the\\n # child tag name.\\n action = None\\n for module in actionmodules:\\n try:\\n action = getattr(module, childtag.tag)\\n break\\n except AttributeError:\\n continue\\n\\n # Ignore non-action (parameter) tags.\\n if not action: continue\\n\\n # Construct and run the child action.\\n logger.debug('Running \\\"{0}\\\"...'.format(childtag.tag))\\n try:\\n exitcode = action(self.context, childtag).run()\\n except Exception as e:\\n logger.exception(e)\\n sys.stderr.write('Internal hook error.'\\n + ' Please notify administrator.')\\n return -1\\n\\n # If the child action generated a non-zero exit code, stop\\n # processing child actions.\\n\\n if exitcode != 0: break\\n\\n # Return the current exit code.\\n return exitcode\",\n \"def __init__(self, *args, **kwargs):\\n\\n # Construct the base instance.\\n super(FilterPathList, self).__init__(*args, **kwargs)\\n\\n # Construct a regular expression tag evaluator.\\n regextag = self.thistag.find('PathRegex')\\n if regextag == None:\\n raise ValueError('Required tag missing: PathRegex')\\n self.regex = RegexTag(regextag)\\n\\n # Get the \\\"look for the first match\\\" flag.\\n self.matchfirst = self.get_boolean('matchFirst')\\n logger.debug('matchfirst = {0}'.format(self.matchfirst))\\n\\n # Get the list of path names.\\n self.paths = self.context.tokens['Paths']\\n logger.debug('paths = {0}'.format(self.paths))\",\n \"def __init__(self, config=None, **kwargs):\\n # TODO: would be nice to allow regexen instead of exact string matches\\n super(MockContext, self).__init__(config)\\n for method, results in iteritems(kwargs):\\n # Special convenience case: individual Result -> one-item list\\n if (\\n not hasattr(results, '__iter__')\\n and not isinstance(results, Result)\\n # No need for explicit dict test; they have __iter__\\n ):\\n err = \\\"Not sure how to yield results from a {0!r}\\\"\\n raise TypeError(err.format(type(results)))\\n self._set(\\\"_{0}\\\".format(method), results)\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.55047566","0.54139805","0.5282983","0.5266308","0.5251558","0.52377003","0.52111524","0.520506","0.5197755","0.51204234","0.5095355","0.50885457","0.5088183","0.5087449","0.50618327","0.5061558","0.50412923","0.5020508","0.4992534","0.49858615","0.4981407","0.49733898","0.49649948","0.49637336","0.49504605","0.4945675","0.49388778","0.49218667","0.49177897","0.49113947","0.49066076","0.49044427","0.48995477","0.48886138","0.48777777","0.48678043","0.48669818","0.4857123","0.4852568","0.48492005","0.48487392","0.4846063","0.4844916","0.4840612","0.48273492","0.4818902","0.4816723","0.4799803","0.4792119","0.47919366","0.47887477","0.47818017","0.47759044","0.47749624","0.477418","0.47726125","0.47684598","0.47651115","0.47643733","0.47562575","0.4755007","0.47534454","0.474507","0.4741423","0.47371316","0.47324786","0.4728824","0.47278932","0.47259334","0.47226253","0.47198197","0.47137958","0.47137958","0.47137958","0.47137958","0.47137958","0.47137958","0.47137958","0.47137958","0.47137958","0.47137958","0.47126445","0.47072455","0.47049737","0.4703997","0.46993804","0.4698813","0.4697055","0.46948555","0.4686418","0.46849734","0.46847636","0.46839875","0.46833423","0.46768627","0.46714556","0.46714184","0.4669023","0.4665061","0.46631953"],"string":"[\n \"0.55047566\",\n \"0.54139805\",\n \"0.5282983\",\n \"0.5266308\",\n \"0.5251558\",\n \"0.52377003\",\n \"0.52111524\",\n \"0.520506\",\n \"0.5197755\",\n \"0.51204234\",\n \"0.5095355\",\n \"0.50885457\",\n \"0.5088183\",\n \"0.5087449\",\n \"0.50618327\",\n \"0.5061558\",\n \"0.50412923\",\n \"0.5020508\",\n \"0.4992534\",\n \"0.49858615\",\n \"0.4981407\",\n \"0.49733898\",\n \"0.49649948\",\n \"0.49637336\",\n \"0.49504605\",\n \"0.4945675\",\n \"0.49388778\",\n \"0.49218667\",\n \"0.49177897\",\n \"0.49113947\",\n \"0.49066076\",\n \"0.49044427\",\n \"0.48995477\",\n \"0.48886138\",\n \"0.48777777\",\n \"0.48678043\",\n \"0.48669818\",\n \"0.4857123\",\n \"0.4852568\",\n \"0.48492005\",\n \"0.48487392\",\n \"0.4846063\",\n \"0.4844916\",\n \"0.4840612\",\n \"0.48273492\",\n \"0.4818902\",\n \"0.4816723\",\n \"0.4799803\",\n \"0.4792119\",\n \"0.47919366\",\n \"0.47887477\",\n \"0.47818017\",\n \"0.47759044\",\n \"0.47749624\",\n \"0.477418\",\n \"0.47726125\",\n \"0.47684598\",\n \"0.47651115\",\n \"0.47643733\",\n \"0.47562575\",\n \"0.4755007\",\n \"0.47534454\",\n \"0.474507\",\n \"0.4741423\",\n \"0.47371316\",\n \"0.47324786\",\n \"0.4728824\",\n \"0.47278932\",\n \"0.47259334\",\n \"0.47226253\",\n \"0.47198197\",\n \"0.47137958\",\n \"0.47137958\",\n \"0.47137958\",\n \"0.47137958\",\n \"0.47137958\",\n \"0.47137958\",\n \"0.47137958\",\n \"0.47137958\",\n \"0.47137958\",\n \"0.47137958\",\n \"0.47126445\",\n \"0.47072455\",\n \"0.47049737\",\n \"0.4703997\",\n \"0.46993804\",\n \"0.4698813\",\n \"0.4697055\",\n \"0.46948555\",\n \"0.4686418\",\n \"0.46849734\",\n \"0.46847636\",\n \"0.46839875\",\n \"0.46833423\",\n \"0.46768627\",\n \"0.46714556\",\n \"0.46714184\",\n \"0.4669023\",\n \"0.4665061\",\n \"0.46631953\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.67694384"},"document_rank":{"kind":"string","value":"0"}}},{"rowIdx":86798,"cells":{"query":{"kind":"string","value":"The ACE command line client provides a tool for configuring analytics and other ACE components as well as providing users with a means of sending frames directly to analytics running in the system. This CLI can also be used to run other ACE services, such as creating an RTSP server or starting and configuring a filtering service."},"document":{"kind":"string","value":"def main(ctx, debug):\n if debug:\n logger.setLevel(logging.DEBUG)"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def cli():\n config, auth, execute_now = read_command_line_arguments()\n main(config, auth, execute_now)","def cli(log_level):\n util.setup_logger(log_level)\n # if not util.check_in_path('aria2c'):\n # raise logger.ERROR(\"Aria2 is not in path. Please follow installation instructions: https://github.com/vn-ki/anime-downloader/wiki/Installation\")","def cli():","def cli():","def cli():","def cli():","def cli():","def cli():","def cli():","def cli():","def cli():","def cli():","def cli():","def cli():","def cli():","def cli():","def cli():","def cli():","def cli():","def cli():","def cli():","def cli():","def cli():","def cli():","def cli():","def cli():","def cli():","def cli():","def cli():","def cli():","def cli(args): # noqa; pylint: disable=unused-argument","def cli():\n pass","def cli():\r\n pass","def cli() -> None:","def cli() -> None:","def main():\n client = axiothea_client.Client()\n server = axiothea_server.Server()\n edge_server = axiothea_server.Server\n edge_client = axiothea_edge.Client\n server.run(client, edge_server, edge_client)","def cli(ctx):\n pass","def cli(ctx):\n pass","def cli():\n\n pass","def cli():\n return","def cli():\n ...","def process_command_line():\n\n # Add the command lien arguments\n parser = argparse.ArgumentParser(description=\"test autocontext\", formatter_class=argparse.ArgumentDefaultsHelpFormatter)\n\n # Arguments\n parser.add_argument(\"--ilastik\", type=str, required=True,\n help=\"path to the file run_ilastik.sh\")\n\n parser.add_argument(\"--train\", type=str,\n help=\"path to the ilastik project that will be used for training\")\n\n parser.add_argument(\"--batch_predict\", type=str,\n help=\"path of the cache folder of a previously trained autocontext that will be used for batch \"\n \"prediction\")","def cli():\n pass","def cli():\n pass","def cli():\n pass","def cli():\n pass","def cli():\n pass","def cli():\n pass","def cli():\n pass","def cli():\n pass","def cli():\n pass","def cli():\n pass","def cli():\n pass","def cli():\n pass","def cli():\n pass","def cli():\n pass","def cli():\n pass","def cli():\n pass","def cli():\n pass","def cli():\n pass","def cli():\n pass","def cli():\n pass","def cli():\n pass","def cli():\n pass","def cli():\n pass","def cli():\n pass","def cli():\n pass","def cli():\n pass","def cli():\n pass","def cli():\n pass","def cli():\n pass","def cli():\n pass","def cli():\n pass","def cli():\n pass","def cli():\n pass","def cli():\n pass","def cli():\n pass","def cli():\n pass","def cli():\n pass","def cli(ctx):\n #TODO","def mfa_cli(ctx: click.Context) -> None:\n from montreal_forced_aligner.command_line.utils import check_server, start_server, stop_server\n\n config.load_configuration()\n auto_server = False\n run_check = True\n if ctx.invoked_subcommand == \"anchor\":\n config.CLEAN = False\n config.USE_POSTGRES = True\n config.CLEAN = False\n config.USE_POSTGRES = True\n if \"--help\" in sys.argv or ctx.invoked_subcommand in [\n \"configure\",\n \"version\",\n \"history\",\n \"server\",\n \"align_one\",\n ]:\n auto_server = False\n run_check = False\n elif ctx.invoked_subcommand in [\"model\", \"models\"]:\n if \"add_words\" in sys.argv or \"inspect\" in sys.argv:\n config.CLEAN = True\n config.USE_POSTGRES = False\n else:\n run_check = False\n elif ctx.invoked_subcommand == \"g2p\":\n if len(sys.argv) > 2 and sys.argv[2] == \"-\":\n run_check = False\n auto_server = False\n else:\n auto_server = config.AUTO_SERVER\n if \"--no_use_postgres\" in sys.argv or not config.USE_POSTGRES:\n run_check = False\n auto_server = False\n if auto_server:\n start_server()\n elif run_check:\n check_server()\n warnings.simplefilter(\"ignore\")\n check_third_party()\n if ctx.invoked_subcommand != \"anchor\":\n hooks = ExitHooks()\n hooks.hook()\n atexit.register(hooks.history_save_handler)\n if auto_server:\n atexit.register(stop_server)","def cli(ctx):","def cli(ctx):","def main():\n\tcli = Cli()\n\tcli.run()","def main():\n parser = argparse.ArgumentParser()\n parser.add_argument(\"URI\")\n args = parser.parse_args()\n smart_client(args.URI)","def main(args):\n cli = CLI()\n # Check arguments\n cli.parse_arguments(args)","def main():\n cli = CommandLineInterface(NAME, package=\"nemo_nowcast\", description=__doc__)\n cli.build_parser()\n parsed_args = cli.parser.parse_args()\n config = Config()\n config.load(parsed_args.config_file)\n msg = _configure_logging(config)\n logger.info(f\"running in process {os.getpid()}\")\n logger.info(f\"read config from {config.file}\")\n logger.info(msg)\n run(config)","def server_cli():\n\n import argparse\n\n parser = argparse.ArgumentParser(\n description=\"The free and open-source paste bin and trash can \"\n \"for your stuff.\")\n parser.add_argument('--host', help='Host to listen on')\n parser.add_argument('--port', type=int, help='Port to listen on')\n parser.add_argument('--debug', help='Activate debug mode',\n action='store_true')\n args = parser.parse_args()\n\n app = create_app()\n\n print \" * Starting bepasty server...\"\n app.run(\n host=args.host,\n port=args.port,\n debug=args.debug\n )","def main():\n # Parse arguments.\n parser = argparse.ArgumentParser(description='Console for cluster test.')\n parser.add_argument('-c', dest='command_config_file',\n default='command_config',\n help='set command config file path (default=command_config)')\n args = parser.parse_args()\n\n console = Console()\n console.config(args.command_config_file)\n console.init_proxies()\n console.run()","def cli():\n logger.debug('cli() called')","def cli(self, env):\n raise NotImplementedError","def commandline_options(args):\n # -------------------------------------------------------------------------------\n parser = argparse.ArgumentParser(\n description=\"Query and parse the caseroot files to gather metadata information\"\n \" that can be posted to the CESM experiments database.\"\n \" \"\n \" CMIP6 experiment case names must be reserved already in the\"\n \" experiment database. Please see:\"\n \" https://csesgweb.cgd.ucar.edu/expdb2.0 for details.\"\n )\n\n CIME.utils.setup_standard_logging_options(parser)\n\n parser.add_argument(\n \"--user\",\n dest=\"user\",\n type=str,\n default=None,\n required=True,\n help=\"User name for SVN CESM developer access (required)\",\n )\n\n parser.add_argument(\n \"--password\",\n dest=\"password\",\n action=PasswordPromptAction,\n default=\"\",\n required=True,\n help=\"Password for SVN CESM developer access (required)\",\n )\n\n parser.add_argument(\n \"--caseroot\",\n nargs=1,\n required=False,\n help=\"Fully quailfied path to case root directory (optional). \"\n \"Defaults to current working directory.\",\n )\n\n parser.add_argument(\n \"--workdir\",\n nargs=1,\n required=False,\n help=\"Fully quailfied path to directory for storing intermediate \"\n \"case files. A sub-directory called \"\n \"archive_temp_dir is created, populated \"\n \"with case files, and posted to the CESM experiments database and \"\n 'SVN repository at URL \"{0}\". '\n \"This argument can be used to archive a caseroot when the user \"\n \"does not have write permission in the caseroot (optional). \"\n \"Defaults to current working directory.\".format(_svn_expdb_url),\n )\n\n parser.add_argument(\n \"--expType\",\n dest=\"expType\",\n nargs=1,\n required=True,\n choices=_exp_types,\n help=\"Experiment type. For CMIP6 experiments, the case must already \"\n \"exist in the experiments database at URL \"\n ' \"http://csegweb.cgd.ucar.edu/expdb2.0\" (required). '\n 'Must be one of \"{0}\"'.format(_exp_types),\n )\n\n parser.add_argument(\n \"--title\",\n nargs=1,\n required=False,\n default=None,\n help=\"Title of experiment (optional).\",\n )\n\n parser.add_argument(\n \"--ignore-logs\",\n dest=\"ignore_logs\",\n action=\"store_true\",\n help=\"Ignore updating the SVN repository with the caseroot/logs files. \"\n \"The experiments database will be updated (optional).\",\n )\n\n parser.add_argument(\n \"--ignore-timing\",\n dest=\"ignore_timing\",\n action=\"store_true\",\n help=\"Ignore updating the the SVN repository with caseroot/timing files.\"\n \"The experiments database will be updated (optional).\",\n )\n\n parser.add_argument(\n \"--ignore-repo-update\",\n dest=\"ignore_repo_update\",\n action=\"store_true\",\n help=\"Ignore updating the SVN repository with all the caseroot files. \"\n \"The experiments database will be updated (optional).\",\n )\n\n parser.add_argument(\n \"--add-files\",\n dest=\"user_add_files\",\n required=False,\n help=\"Comma-separated list with no spaces of files or directories to be \"\n \"added to the SVN repository. These are in addition to the default added \"\n \"caseroot files and directories: \"\n '\"{0}, *.xml, user_nl_*\" (optional).'.format(_archive_list),\n )\n\n parser.add_argument(\n \"--dryrun\",\n action=\"store_true\",\n help=\"Parse settings and print what actions will be taken but \"\n \"do not execute the action (optional).\",\n )\n\n parser.add_argument(\n \"--query_cmip6\",\n nargs=2,\n required=False,\n help=\"Query the experiments database global attributes \"\n \"for specified CMIP6 casename as argument 1. \"\n \"Writes a json formatted output file, specified by argument 2, \"\n \"to subdir archive_files (optional).\",\n )\n\n parser.add_argument(\n \"--test-post\",\n dest=\"test_post\",\n action=\"store_true\",\n help=\"Post metadata to the test expdb2.0 web application server \"\n 'at URL \"http://csegwebdev.cgd.ucar.edu/expdb2.0\". '\n \"No --test-post argument defaults to posting metadata to the \"\n \"production expdb2.0 web application server \"\n 'at URL \"http://csegweb.cgd.ucar.edu/expdb2.0\" (optional).',\n )\n\n opts = CIME.utils.parse_args_and_handle_standard_logging_options(args, parser)\n\n return opts","def __init__(self, id, aca_options):\n super().__init__(id)\n self.aca_command = f'''./aca_build/bin/AlcorControlAgent {aca_options}'''","def main():\n parser = argparse.ArgumentParser(description=DESCRIPTON, epilog=EXAMPLE)\n parser.add_argument(\n \"--version\", action=\"version\", version=\"%(prog)s {}\".format(VERSION)\n )\n parser.add_argument(\n \"-u\", \"--url\", metavar=\"<TARGET_URL>\",\n required=\"-F\" not in sys.argv and \"--file\" not in sys.argv,\n help=\"URL of the target GWT {name}.nocache.js bootstrap or {hex}.cache.js file\",\n type=url_mode_checks\n )\n parser.add_argument(\n \"-F\", \"--file\", metavar=\"<FILE>\", default=None,\n required=\"-u\" not in sys.argv and \"--url\" not in sys.argv,\n help=\"path to the local copy of a {hex}.cache.js GWT permutation file\",\n type=file_mode_checks\n )\n parser.add_argument(\n \"-b\", \"--base\", metavar=\"<BASE_URL>\", default=BASE_URL,\n help=\"specifies the base URL for a given permutation file in -F/--file mode\"\n )\n parser.add_argument(\n \"-p\", \"--proxy\", metavar=\"<PROXY>\", default=None,\n help=\"URL for an optional HTTP proxy (e.g. -p http://127.0.0.1:8080)\"\n )\n parser.add_argument(\n \"-c\", \"--cookies\", metavar=\"<COOKIES>\", default=None,\n help=\"any cookies required to access the remote resource in -u/--url mode \"\n + \"(e.g. 'JSESSIONID=ABCDEF; OTHER=XYZABC')\"\n )\n parser.add_argument(\n \"-f\", \"--filter\", metavar=\"<FILTER>\", default=\"\",\n help=\"case-sensitive method filter for output (e.g. -f AuthSvc.checkSession)\"\n )\n parser.add_argument(\n \"--basic\", action=\"store_true\", default=False,\n help=\"enables HTTP Basic authentication if require. Prompts for credentials\"\n )\n parser.add_argument(\n \"--rpc\", action=\"store_true\", default=False,\n required=\"--probe\" in sys.argv,\n help=\"attempts to generate a serialized RPC request for each method\"\n )\n parser.add_argument(\n \"--probe\", action=\"store_true\", default=False,\n help=\"sends an HTTP probe request to test each method returned in --rpc mode\"\n )\n parser.add_argument(\n \"--svc\", action=\"store_true\", default=False,\n help=\"displays enumerated service information, in addition to methods\"\n )\n parser.add_argument(\n \"--code\", action=\"store_true\", default=False,\n help=\"skips all and dumps the 're-formatted' state of the provided resource\"\n )\n parser.add_argument(\n \"--color\", action=\"store_true\", default=False,\n help=\"enables coloured console output\"\n )\n parser.add_argument(\n \"--backup\", metavar=\"DIR\", nargs='?', default=False,\n help=\"creates a local backup of retrieved code in -u/--url mode\"\n )\n parser.add_argument(\n \"-q\", \"--quiet\", action=\"store_true\", default=False,\n help=\"enables quiet mode (minimal output)\"\n )\n\n parser._optionals.title = \"Arguments\"\n args = parser.parse_args()\n\n global COLOR_MODE\n COLOR_MODE = args.color\n\n if not args.code and not args.quiet:\n present_banner()\n\n set_base_url(args.url if args.base is BASE_URL else args.base)\n\n set_http_params(args)\n\n if not args.code and not args.quiet:\n present_target(args.url if args.file is None else args.file)\n\n code, code_type = (\n read_file(args.file) if args.file is not None else\n fetch_code(args.url)\n )\n\n check_warnings(code_type, args)\n\n code = clean_code(code, code_type)\n\n if code_type.startswith(BOOTSTRAP) and args.file is None:\n code = get_permutation(code, code_type, args)\n\n set_globals(code, args)\n\n if is_fragmented(''.join(code), code_type) and args.file is None:\n code = append_fragments(code, code_type, args)\n\n backup_file = None\n if args.backup is not False and args.file is None:\n backup_file = save_code(code, code_type, args.backup)\n\n if args.code:\n present_code(code)\n sys.exit(0)\n\n if not args.quiet:\n present_module_info()\n\n service_objects = extract_service_info(code)\n if args.svc:\n present_services(service_objects, args.quiet)\n\n method_objects = extract_method_info(code, service_objects)\n count = present_methods(method_objects, args.quiet, args.probe)\n\n if not args.quiet:\n present_summary(service_objects, method_objects, count, backup_file)","def create_aafclanduse_command(cli):\n @cli.group(\n \"aafclanduse\",\n short_help=(\"Commands for working with AAFC Land Use data\"),\n )\n def aafclanduse():\n pass\n\n @aafclanduse.command(\n \"create-collection\",\n short_help=\"Creates a STAC collection from AAFC Land Use metadata\",\n )\n @click.option(\n \"-d\",\n \"--destination\",\n required=True,\n help=\"The output directory for the STAC Collection json\",\n )\n @click.option(\n \"-m\",\n \"--metadata\",\n help=\"The url to the metadata jsonld\",\n default=JSONLD_HREF,\n )\n def create_collection_command(destination: str, metadata: str):\n \"\"\"Creates a STAC Collection from AAFC Land Use metadata\n\n Args:\n destination (str): Directory to create the collection json\n metadata (str): Path to a jsonld metadata file - provided by AAFC\n Returns:\n Callable\n \"\"\"\n metadata = utils.get_metadata(metadata)\n\n output_path = os.path.join(destination, f\"{LANDUSE_ID}.json\")\n\n stac.create_collection(metadata, output_path)\n\n @aafclanduse.command(\n \"create-item\",\n short_help=\"Create a STAC item from an AAFC Land Use tif\",\n )\n @click.option(\n \"-s\",\n \"--source\",\n required=True,\n help=\"Path to an AAFC Land Use tif\",\n )\n @click.option(\n \"-d\",\n \"--destination\",\n required=True,\n help=\"The output directory for the STAC json and COG\",\n )\n @click.option(\n \"-m\",\n \"--metadata\",\n help=\"The url to the metadata description.\",\n default=JSONLD_HREF,\n )\n def create_item_command(source: str, destination: str, metadata: str):\n \"\"\"Creates a STAC Item from an AAFC Land Use raster and\n accompanying metadata file.\n\n Args:\n source (str): Path to an AAFC Land Use tif\n destination (str): Directory where a COG and STAC item json will be created\n metadata (str): Path to a jsonld metadata file - provided by AAFC\n Returns:\n Callable\n \"\"\"\n metadata = utils.get_metadata(metadata)\n\n # Access/download src tif and create a COG\n with utils.AssetManager(source) as asset:\n asset_tif = asset.path\n cog_path = os.path.join(\n destination,\n os.path.splitext(os.path.basename(asset_tif))[0] + \"_cog.tif\",\n )\n cog.create_cog(asset_tif, cog_path, dry_run=False)\n\n # Create stac item\n json_path = cog_path[:-8] + \".json\"\n stac.create_item(metadata, json_path, cog_path)\n\n return aafclanduse","def cli() -> None:\n pass","def cli() -> None:\n pass","def cli() -> None:\n pass","def cli() -> None:\n pass","def cli() -> None:\n pass","def cli(ctx: click.Context, config_instance: str, config_path: str) -> None:\n ctx.obj = TurbiniaCli(\n config_instance=config_instance, config_path=config_path)\n\n # Set up the tool based on the configuration file parameters.\n ctx.obj.setup()\n\n # Build all the commands based on responses from the API server.\n request_commands = factory.CommandFactory.create_dynamic_objects(\n evidence_mapping=ctx.obj.evidence_mapping,\n request_options=ctx.obj.request_options)\n for command in request_commands:\n groups.submit_group.add_command(command)"],"string":"[\n \"def cli():\\n config, auth, execute_now = read_command_line_arguments()\\n main(config, auth, execute_now)\",\n \"def cli(log_level):\\n util.setup_logger(log_level)\\n # if not util.check_in_path('aria2c'):\\n # raise logger.ERROR(\\\"Aria2 is not in path. Please follow installation instructions: https://github.com/vn-ki/anime-downloader/wiki/Installation\\\")\",\n \"def cli():\",\n \"def cli():\",\n \"def cli():\",\n \"def cli():\",\n \"def cli():\",\n \"def cli():\",\n \"def cli():\",\n \"def cli():\",\n \"def cli():\",\n \"def cli():\",\n \"def cli():\",\n \"def cli():\",\n \"def cli():\",\n \"def cli():\",\n \"def cli():\",\n \"def cli():\",\n \"def cli():\",\n \"def cli():\",\n \"def cli():\",\n \"def cli():\",\n \"def cli():\",\n \"def cli():\",\n \"def cli():\",\n \"def cli():\",\n \"def cli():\",\n \"def cli():\",\n \"def cli():\",\n \"def cli():\",\n \"def cli(args): # noqa; pylint: disable=unused-argument\",\n \"def cli():\\n pass\",\n \"def cli():\\r\\n pass\",\n \"def cli() -> None:\",\n \"def cli() -> None:\",\n \"def main():\\n client = axiothea_client.Client()\\n server = axiothea_server.Server()\\n edge_server = axiothea_server.Server\\n edge_client = axiothea_edge.Client\\n server.run(client, edge_server, edge_client)\",\n \"def cli(ctx):\\n pass\",\n \"def cli(ctx):\\n pass\",\n \"def cli():\\n\\n pass\",\n \"def cli():\\n return\",\n \"def cli():\\n ...\",\n \"def process_command_line():\\n\\n # Add the command lien arguments\\n parser = argparse.ArgumentParser(description=\\\"test autocontext\\\", formatter_class=argparse.ArgumentDefaultsHelpFormatter)\\n\\n # Arguments\\n parser.add_argument(\\\"--ilastik\\\", type=str, required=True,\\n help=\\\"path to the file run_ilastik.sh\\\")\\n\\n parser.add_argument(\\\"--train\\\", type=str,\\n help=\\\"path to the ilastik project that will be used for training\\\")\\n\\n parser.add_argument(\\\"--batch_predict\\\", type=str,\\n help=\\\"path of the cache folder of a previously trained autocontext that will be used for batch \\\"\\n \\\"prediction\\\")\",\n \"def cli():\\n pass\",\n \"def cli():\\n pass\",\n \"def cli():\\n pass\",\n \"def cli():\\n pass\",\n \"def cli():\\n pass\",\n \"def cli():\\n pass\",\n \"def cli():\\n pass\",\n \"def cli():\\n pass\",\n \"def cli():\\n pass\",\n \"def cli():\\n pass\",\n \"def cli():\\n pass\",\n \"def cli():\\n pass\",\n \"def cli():\\n pass\",\n \"def cli():\\n pass\",\n \"def cli():\\n pass\",\n \"def cli():\\n pass\",\n \"def cli():\\n pass\",\n \"def cli():\\n pass\",\n \"def cli():\\n pass\",\n \"def cli():\\n pass\",\n \"def cli():\\n pass\",\n \"def cli():\\n pass\",\n \"def cli():\\n pass\",\n \"def cli():\\n pass\",\n \"def cli():\\n pass\",\n \"def cli():\\n pass\",\n \"def cli():\\n pass\",\n \"def cli():\\n pass\",\n \"def cli():\\n pass\",\n \"def cli():\\n pass\",\n \"def cli():\\n pass\",\n \"def cli():\\n pass\",\n \"def cli():\\n pass\",\n \"def cli():\\n pass\",\n \"def cli():\\n pass\",\n \"def cli():\\n pass\",\n \"def cli():\\n pass\",\n \"def cli(ctx):\\n #TODO\",\n \"def mfa_cli(ctx: click.Context) -> None:\\n from montreal_forced_aligner.command_line.utils import check_server, start_server, stop_server\\n\\n config.load_configuration()\\n auto_server = False\\n run_check = True\\n if ctx.invoked_subcommand == \\\"anchor\\\":\\n config.CLEAN = False\\n config.USE_POSTGRES = True\\n config.CLEAN = False\\n config.USE_POSTGRES = True\\n if \\\"--help\\\" in sys.argv or ctx.invoked_subcommand in [\\n \\\"configure\\\",\\n \\\"version\\\",\\n \\\"history\\\",\\n \\\"server\\\",\\n \\\"align_one\\\",\\n ]:\\n auto_server = False\\n run_check = False\\n elif ctx.invoked_subcommand in [\\\"model\\\", \\\"models\\\"]:\\n if \\\"add_words\\\" in sys.argv or \\\"inspect\\\" in sys.argv:\\n config.CLEAN = True\\n config.USE_POSTGRES = False\\n else:\\n run_check = False\\n elif ctx.invoked_subcommand == \\\"g2p\\\":\\n if len(sys.argv) > 2 and sys.argv[2] == \\\"-\\\":\\n run_check = False\\n auto_server = False\\n else:\\n auto_server = config.AUTO_SERVER\\n if \\\"--no_use_postgres\\\" in sys.argv or not config.USE_POSTGRES:\\n run_check = False\\n auto_server = False\\n if auto_server:\\n start_server()\\n elif run_check:\\n check_server()\\n warnings.simplefilter(\\\"ignore\\\")\\n check_third_party()\\n if ctx.invoked_subcommand != \\\"anchor\\\":\\n hooks = ExitHooks()\\n hooks.hook()\\n atexit.register(hooks.history_save_handler)\\n if auto_server:\\n atexit.register(stop_server)\",\n \"def cli(ctx):\",\n \"def cli(ctx):\",\n \"def main():\\n\\tcli = Cli()\\n\\tcli.run()\",\n \"def main():\\n parser = argparse.ArgumentParser()\\n parser.add_argument(\\\"URI\\\")\\n args = parser.parse_args()\\n smart_client(args.URI)\",\n \"def main(args):\\n cli = CLI()\\n # Check arguments\\n cli.parse_arguments(args)\",\n \"def main():\\n cli = CommandLineInterface(NAME, package=\\\"nemo_nowcast\\\", description=__doc__)\\n cli.build_parser()\\n parsed_args = cli.parser.parse_args()\\n config = Config()\\n config.load(parsed_args.config_file)\\n msg = _configure_logging(config)\\n logger.info(f\\\"running in process {os.getpid()}\\\")\\n logger.info(f\\\"read config from {config.file}\\\")\\n logger.info(msg)\\n run(config)\",\n \"def server_cli():\\n\\n import argparse\\n\\n parser = argparse.ArgumentParser(\\n description=\\\"The free and open-source paste bin and trash can \\\"\\n \\\"for your stuff.\\\")\\n parser.add_argument('--host', help='Host to listen on')\\n parser.add_argument('--port', type=int, help='Port to listen on')\\n parser.add_argument('--debug', help='Activate debug mode',\\n action='store_true')\\n args = parser.parse_args()\\n\\n app = create_app()\\n\\n print \\\" * Starting bepasty server...\\\"\\n app.run(\\n host=args.host,\\n port=args.port,\\n debug=args.debug\\n )\",\n \"def main():\\n # Parse arguments.\\n parser = argparse.ArgumentParser(description='Console for cluster test.')\\n parser.add_argument('-c', dest='command_config_file',\\n default='command_config',\\n help='set command config file path (default=command_config)')\\n args = parser.parse_args()\\n\\n console = Console()\\n console.config(args.command_config_file)\\n console.init_proxies()\\n console.run()\",\n \"def cli():\\n logger.debug('cli() called')\",\n \"def cli(self, env):\\n raise NotImplementedError\",\n \"def commandline_options(args):\\n # -------------------------------------------------------------------------------\\n parser = argparse.ArgumentParser(\\n description=\\\"Query and parse the caseroot files to gather metadata information\\\"\\n \\\" that can be posted to the CESM experiments database.\\\"\\n \\\" \\\"\\n \\\" CMIP6 experiment case names must be reserved already in the\\\"\\n \\\" experiment database. Please see:\\\"\\n \\\" https://csesgweb.cgd.ucar.edu/expdb2.0 for details.\\\"\\n )\\n\\n CIME.utils.setup_standard_logging_options(parser)\\n\\n parser.add_argument(\\n \\\"--user\\\",\\n dest=\\\"user\\\",\\n type=str,\\n default=None,\\n required=True,\\n help=\\\"User name for SVN CESM developer access (required)\\\",\\n )\\n\\n parser.add_argument(\\n \\\"--password\\\",\\n dest=\\\"password\\\",\\n action=PasswordPromptAction,\\n default=\\\"\\\",\\n required=True,\\n help=\\\"Password for SVN CESM developer access (required)\\\",\\n )\\n\\n parser.add_argument(\\n \\\"--caseroot\\\",\\n nargs=1,\\n required=False,\\n help=\\\"Fully quailfied path to case root directory (optional). \\\"\\n \\\"Defaults to current working directory.\\\",\\n )\\n\\n parser.add_argument(\\n \\\"--workdir\\\",\\n nargs=1,\\n required=False,\\n help=\\\"Fully quailfied path to directory for storing intermediate \\\"\\n \\\"case files. A sub-directory called \\\"\\n \\\"archive_temp_dir is created, populated \\\"\\n \\\"with case files, and posted to the CESM experiments database and \\\"\\n 'SVN repository at URL \\\"{0}\\\". '\\n \\\"This argument can be used to archive a caseroot when the user \\\"\\n \\\"does not have write permission in the caseroot (optional). \\\"\\n \\\"Defaults to current working directory.\\\".format(_svn_expdb_url),\\n )\\n\\n parser.add_argument(\\n \\\"--expType\\\",\\n dest=\\\"expType\\\",\\n nargs=1,\\n required=True,\\n choices=_exp_types,\\n help=\\\"Experiment type. For CMIP6 experiments, the case must already \\\"\\n \\\"exist in the experiments database at URL \\\"\\n ' \\\"http://csegweb.cgd.ucar.edu/expdb2.0\\\" (required). '\\n 'Must be one of \\\"{0}\\\"'.format(_exp_types),\\n )\\n\\n parser.add_argument(\\n \\\"--title\\\",\\n nargs=1,\\n required=False,\\n default=None,\\n help=\\\"Title of experiment (optional).\\\",\\n )\\n\\n parser.add_argument(\\n \\\"--ignore-logs\\\",\\n dest=\\\"ignore_logs\\\",\\n action=\\\"store_true\\\",\\n help=\\\"Ignore updating the SVN repository with the caseroot/logs files. \\\"\\n \\\"The experiments database will be updated (optional).\\\",\\n )\\n\\n parser.add_argument(\\n \\\"--ignore-timing\\\",\\n dest=\\\"ignore_timing\\\",\\n action=\\\"store_true\\\",\\n help=\\\"Ignore updating the the SVN repository with caseroot/timing files.\\\"\\n \\\"The experiments database will be updated (optional).\\\",\\n )\\n\\n parser.add_argument(\\n \\\"--ignore-repo-update\\\",\\n dest=\\\"ignore_repo_update\\\",\\n action=\\\"store_true\\\",\\n help=\\\"Ignore updating the SVN repository with all the caseroot files. \\\"\\n \\\"The experiments database will be updated (optional).\\\",\\n )\\n\\n parser.add_argument(\\n \\\"--add-files\\\",\\n dest=\\\"user_add_files\\\",\\n required=False,\\n help=\\\"Comma-separated list with no spaces of files or directories to be \\\"\\n \\\"added to the SVN repository. These are in addition to the default added \\\"\\n \\\"caseroot files and directories: \\\"\\n '\\\"{0}, *.xml, user_nl_*\\\" (optional).'.format(_archive_list),\\n )\\n\\n parser.add_argument(\\n \\\"--dryrun\\\",\\n action=\\\"store_true\\\",\\n help=\\\"Parse settings and print what actions will be taken but \\\"\\n \\\"do not execute the action (optional).\\\",\\n )\\n\\n parser.add_argument(\\n \\\"--query_cmip6\\\",\\n nargs=2,\\n required=False,\\n help=\\\"Query the experiments database global attributes \\\"\\n \\\"for specified CMIP6 casename as argument 1. \\\"\\n \\\"Writes a json formatted output file, specified by argument 2, \\\"\\n \\\"to subdir archive_files (optional).\\\",\\n )\\n\\n parser.add_argument(\\n \\\"--test-post\\\",\\n dest=\\\"test_post\\\",\\n action=\\\"store_true\\\",\\n help=\\\"Post metadata to the test expdb2.0 web application server \\\"\\n 'at URL \\\"http://csegwebdev.cgd.ucar.edu/expdb2.0\\\". '\\n \\\"No --test-post argument defaults to posting metadata to the \\\"\\n \\\"production expdb2.0 web application server \\\"\\n 'at URL \\\"http://csegweb.cgd.ucar.edu/expdb2.0\\\" (optional).',\\n )\\n\\n opts = CIME.utils.parse_args_and_handle_standard_logging_options(args, parser)\\n\\n return opts\",\n \"def __init__(self, id, aca_options):\\n super().__init__(id)\\n self.aca_command = f'''./aca_build/bin/AlcorControlAgent {aca_options}'''\",\n \"def main():\\n parser = argparse.ArgumentParser(description=DESCRIPTON, epilog=EXAMPLE)\\n parser.add_argument(\\n \\\"--version\\\", action=\\\"version\\\", version=\\\"%(prog)s {}\\\".format(VERSION)\\n )\\n parser.add_argument(\\n \\\"-u\\\", \\\"--url\\\", metavar=\\\"<TARGET_URL>\\\",\\n required=\\\"-F\\\" not in sys.argv and \\\"--file\\\" not in sys.argv,\\n help=\\\"URL of the target GWT {name}.nocache.js bootstrap or {hex}.cache.js file\\\",\\n type=url_mode_checks\\n )\\n parser.add_argument(\\n \\\"-F\\\", \\\"--file\\\", metavar=\\\"<FILE>\\\", default=None,\\n required=\\\"-u\\\" not in sys.argv and \\\"--url\\\" not in sys.argv,\\n help=\\\"path to the local copy of a {hex}.cache.js GWT permutation file\\\",\\n type=file_mode_checks\\n )\\n parser.add_argument(\\n \\\"-b\\\", \\\"--base\\\", metavar=\\\"<BASE_URL>\\\", default=BASE_URL,\\n help=\\\"specifies the base URL for a given permutation file in -F/--file mode\\\"\\n )\\n parser.add_argument(\\n \\\"-p\\\", \\\"--proxy\\\", metavar=\\\"<PROXY>\\\", default=None,\\n help=\\\"URL for an optional HTTP proxy (e.g. -p http://127.0.0.1:8080)\\\"\\n )\\n parser.add_argument(\\n \\\"-c\\\", \\\"--cookies\\\", metavar=\\\"<COOKIES>\\\", default=None,\\n help=\\\"any cookies required to access the remote resource in -u/--url mode \\\"\\n + \\\"(e.g. 'JSESSIONID=ABCDEF; OTHER=XYZABC')\\\"\\n )\\n parser.add_argument(\\n \\\"-f\\\", \\\"--filter\\\", metavar=\\\"<FILTER>\\\", default=\\\"\\\",\\n help=\\\"case-sensitive method filter for output (e.g. -f AuthSvc.checkSession)\\\"\\n )\\n parser.add_argument(\\n \\\"--basic\\\", action=\\\"store_true\\\", default=False,\\n help=\\\"enables HTTP Basic authentication if require. Prompts for credentials\\\"\\n )\\n parser.add_argument(\\n \\\"--rpc\\\", action=\\\"store_true\\\", default=False,\\n required=\\\"--probe\\\" in sys.argv,\\n help=\\\"attempts to generate a serialized RPC request for each method\\\"\\n )\\n parser.add_argument(\\n \\\"--probe\\\", action=\\\"store_true\\\", default=False,\\n help=\\\"sends an HTTP probe request to test each method returned in --rpc mode\\\"\\n )\\n parser.add_argument(\\n \\\"--svc\\\", action=\\\"store_true\\\", default=False,\\n help=\\\"displays enumerated service information, in addition to methods\\\"\\n )\\n parser.add_argument(\\n \\\"--code\\\", action=\\\"store_true\\\", default=False,\\n help=\\\"skips all and dumps the 're-formatted' state of the provided resource\\\"\\n )\\n parser.add_argument(\\n \\\"--color\\\", action=\\\"store_true\\\", default=False,\\n help=\\\"enables coloured console output\\\"\\n )\\n parser.add_argument(\\n \\\"--backup\\\", metavar=\\\"DIR\\\", nargs='?', default=False,\\n help=\\\"creates a local backup of retrieved code in -u/--url mode\\\"\\n )\\n parser.add_argument(\\n \\\"-q\\\", \\\"--quiet\\\", action=\\\"store_true\\\", default=False,\\n help=\\\"enables quiet mode (minimal output)\\\"\\n )\\n\\n parser._optionals.title = \\\"Arguments\\\"\\n args = parser.parse_args()\\n\\n global COLOR_MODE\\n COLOR_MODE = args.color\\n\\n if not args.code and not args.quiet:\\n present_banner()\\n\\n set_base_url(args.url if args.base is BASE_URL else args.base)\\n\\n set_http_params(args)\\n\\n if not args.code and not args.quiet:\\n present_target(args.url if args.file is None else args.file)\\n\\n code, code_type = (\\n read_file(args.file) if args.file is not None else\\n fetch_code(args.url)\\n )\\n\\n check_warnings(code_type, args)\\n\\n code = clean_code(code, code_type)\\n\\n if code_type.startswith(BOOTSTRAP) and args.file is None:\\n code = get_permutation(code, code_type, args)\\n\\n set_globals(code, args)\\n\\n if is_fragmented(''.join(code), code_type) and args.file is None:\\n code = append_fragments(code, code_type, args)\\n\\n backup_file = None\\n if args.backup is not False and args.file is None:\\n backup_file = save_code(code, code_type, args.backup)\\n\\n if args.code:\\n present_code(code)\\n sys.exit(0)\\n\\n if not args.quiet:\\n present_module_info()\\n\\n service_objects = extract_service_info(code)\\n if args.svc:\\n present_services(service_objects, args.quiet)\\n\\n method_objects = extract_method_info(code, service_objects)\\n count = present_methods(method_objects, args.quiet, args.probe)\\n\\n if not args.quiet:\\n present_summary(service_objects, method_objects, count, backup_file)\",\n \"def create_aafclanduse_command(cli):\\n @cli.group(\\n \\\"aafclanduse\\\",\\n short_help=(\\\"Commands for working with AAFC Land Use data\\\"),\\n )\\n def aafclanduse():\\n pass\\n\\n @aafclanduse.command(\\n \\\"create-collection\\\",\\n short_help=\\\"Creates a STAC collection from AAFC Land Use metadata\\\",\\n )\\n @click.option(\\n \\\"-d\\\",\\n \\\"--destination\\\",\\n required=True,\\n help=\\\"The output directory for the STAC Collection json\\\",\\n )\\n @click.option(\\n \\\"-m\\\",\\n \\\"--metadata\\\",\\n help=\\\"The url to the metadata jsonld\\\",\\n default=JSONLD_HREF,\\n )\\n def create_collection_command(destination: str, metadata: str):\\n \\\"\\\"\\\"Creates a STAC Collection from AAFC Land Use metadata\\n\\n Args:\\n destination (str): Directory to create the collection json\\n metadata (str): Path to a jsonld metadata file - provided by AAFC\\n Returns:\\n Callable\\n \\\"\\\"\\\"\\n metadata = utils.get_metadata(metadata)\\n\\n output_path = os.path.join(destination, f\\\"{LANDUSE_ID}.json\\\")\\n\\n stac.create_collection(metadata, output_path)\\n\\n @aafclanduse.command(\\n \\\"create-item\\\",\\n short_help=\\\"Create a STAC item from an AAFC Land Use tif\\\",\\n )\\n @click.option(\\n \\\"-s\\\",\\n \\\"--source\\\",\\n required=True,\\n help=\\\"Path to an AAFC Land Use tif\\\",\\n )\\n @click.option(\\n \\\"-d\\\",\\n \\\"--destination\\\",\\n required=True,\\n help=\\\"The output directory for the STAC json and COG\\\",\\n )\\n @click.option(\\n \\\"-m\\\",\\n \\\"--metadata\\\",\\n help=\\\"The url to the metadata description.\\\",\\n default=JSONLD_HREF,\\n )\\n def create_item_command(source: str, destination: str, metadata: str):\\n \\\"\\\"\\\"Creates a STAC Item from an AAFC Land Use raster and\\n accompanying metadata file.\\n\\n Args:\\n source (str): Path to an AAFC Land Use tif\\n destination (str): Directory where a COG and STAC item json will be created\\n metadata (str): Path to a jsonld metadata file - provided by AAFC\\n Returns:\\n Callable\\n \\\"\\\"\\\"\\n metadata = utils.get_metadata(metadata)\\n\\n # Access/download src tif and create a COG\\n with utils.AssetManager(source) as asset:\\n asset_tif = asset.path\\n cog_path = os.path.join(\\n destination,\\n os.path.splitext(os.path.basename(asset_tif))[0] + \\\"_cog.tif\\\",\\n )\\n cog.create_cog(asset_tif, cog_path, dry_run=False)\\n\\n # Create stac item\\n json_path = cog_path[:-8] + \\\".json\\\"\\n stac.create_item(metadata, json_path, cog_path)\\n\\n return aafclanduse\",\n \"def cli() -> None:\\n pass\",\n \"def cli() -> None:\\n pass\",\n \"def cli() -> None:\\n pass\",\n \"def cli() -> None:\\n pass\",\n \"def cli() -> None:\\n pass\",\n \"def cli(ctx: click.Context, config_instance: str, config_path: str) -> None:\\n ctx.obj = TurbiniaCli(\\n config_instance=config_instance, config_path=config_path)\\n\\n # Set up the tool based on the configuration file parameters.\\n ctx.obj.setup()\\n\\n # Build all the commands based on responses from the API server.\\n request_commands = factory.CommandFactory.create_dynamic_objects(\\n evidence_mapping=ctx.obj.evidence_mapping,\\n request_options=ctx.obj.request_options)\\n for command in request_commands:\\n groups.submit_group.add_command(command)\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.62369883","0.6065571","0.59926844","0.59926844","0.59926844","0.59926844","0.59926844","0.59926844","0.59926844","0.59926844","0.59926844","0.59926844","0.59926844","0.59926844","0.59926844","0.59926844","0.59926844","0.59926844","0.59926844","0.59926844","0.59926844","0.59926844","0.59926844","0.59926844","0.59926844","0.59926844","0.59926844","0.59926844","0.59926844","0.59926844","0.59829444","0.59227854","0.5869436","0.58290213","0.58290213","0.58281225","0.5827296","0.5827296","0.5809679","0.5795079","0.57408947","0.5723378","0.57168406","0.57168406","0.57168406","0.57168406","0.57168406","0.57168406","0.57168406","0.57168406","0.57168406","0.57168406","0.57168406","0.57168406","0.57168406","0.57168406","0.57168406","0.57168406","0.57168406","0.57168406","0.57168406","0.57168406","0.57168406","0.57168406","0.57168406","0.57168406","0.57168406","0.57168406","0.57168406","0.57168406","0.57168406","0.57168406","0.57168406","0.57168406","0.57168406","0.57168406","0.57168406","0.57168406","0.57168406","0.5696987","0.5674186","0.5649558","0.5649558","0.5639533","0.56340295","0.55924505","0.55815834","0.55790854","0.55728996","0.5571203","0.55265534","0.55112755","0.5493563","0.5491334","0.5475736","0.54674417","0.54674417","0.54674417","0.54674417","0.54674417","0.5452785"],"string":"[\n \"0.62369883\",\n \"0.6065571\",\n \"0.59926844\",\n \"0.59926844\",\n \"0.59926844\",\n \"0.59926844\",\n \"0.59926844\",\n \"0.59926844\",\n \"0.59926844\",\n \"0.59926844\",\n \"0.59926844\",\n \"0.59926844\",\n \"0.59926844\",\n \"0.59926844\",\n \"0.59926844\",\n \"0.59926844\",\n \"0.59926844\",\n \"0.59926844\",\n \"0.59926844\",\n \"0.59926844\",\n \"0.59926844\",\n \"0.59926844\",\n \"0.59926844\",\n \"0.59926844\",\n \"0.59926844\",\n \"0.59926844\",\n \"0.59926844\",\n \"0.59926844\",\n \"0.59926844\",\n \"0.59926844\",\n \"0.59829444\",\n \"0.59227854\",\n \"0.5869436\",\n \"0.58290213\",\n \"0.58290213\",\n \"0.58281225\",\n \"0.5827296\",\n \"0.5827296\",\n \"0.5809679\",\n \"0.5795079\",\n \"0.57408947\",\n \"0.5723378\",\n \"0.57168406\",\n \"0.57168406\",\n \"0.57168406\",\n \"0.57168406\",\n \"0.57168406\",\n \"0.57168406\",\n \"0.57168406\",\n \"0.57168406\",\n \"0.57168406\",\n \"0.57168406\",\n \"0.57168406\",\n \"0.57168406\",\n \"0.57168406\",\n \"0.57168406\",\n \"0.57168406\",\n \"0.57168406\",\n \"0.57168406\",\n \"0.57168406\",\n \"0.57168406\",\n \"0.57168406\",\n \"0.57168406\",\n \"0.57168406\",\n \"0.57168406\",\n \"0.57168406\",\n \"0.57168406\",\n \"0.57168406\",\n \"0.57168406\",\n \"0.57168406\",\n \"0.57168406\",\n \"0.57168406\",\n \"0.57168406\",\n \"0.57168406\",\n \"0.57168406\",\n \"0.57168406\",\n \"0.57168406\",\n \"0.57168406\",\n \"0.57168406\",\n \"0.5696987\",\n \"0.5674186\",\n \"0.5649558\",\n \"0.5649558\",\n \"0.5639533\",\n \"0.56340295\",\n \"0.55924505\",\n \"0.55815834\",\n \"0.55790854\",\n \"0.55728996\",\n \"0.5571203\",\n \"0.55265534\",\n \"0.55112755\",\n \"0.5493563\",\n \"0.5491334\",\n \"0.5475736\",\n \"0.54674417\",\n \"0.54674417\",\n \"0.54674417\",\n \"0.54674417\",\n \"0.54674417\",\n \"0.5452785\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":86799,"cells":{"query":{"kind":"string","value":"Command used to configure the specified analytic to connect to an RTSP stream, process the video, and publish the results to the specified database and kafka brokers (if any)."},"document":{"kind":"string","value":"def config(ctx, stream_source, kafka_addr, db_addr, analytic_host, analytic_port, tags):\n tag_map = {}\n for tag_str in tags:\n tag_map.update(parse_tag(tag_str))\n a = analytic_pb2.AnalyticData(\n addr=\"{!s}:{!s}\".format(analytic_host, analytic_port))\n client = aceclient.ConfigClient(host=analytic_host, port=analytic_port)\n client.config(src=stream_source, analytic=a,\n kafka_addr=kafka_addr, db_addr=db_addr, tags=tag_map)"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def video(ctx, video_file, analytic_addr):\n if not analytic_addr:\n analytic_addr = [\"localhost:50051\"]\n db = ctx.obj.db\n client = aceclient.AnalyticMultiClient()\n classes = {}\n cap = cv2.VideoCapture(video_file)\n window_names = []\n f_req = analytic_pb2.FrameRequest()\n for a in analytic_addr:\n analytic = analytic_pb2.AnalyticData()\n analytic.addr = a\n f_req.analytics.append(analytic)\n # Load all frames into a queue buffer\n buf = Queue()\n while (cap.isOpened()):\n ret, frame = cap.read()\n if not ret:\n break\n buf.put(frame)\n try:\n while not buf.empty():\n frame = buf.get(block=False)\n resp = analytic_pb2.CompositeResults()\n resp = client.process_frame(frame, f_req, resp)\n render(resp, window_names, classes, frame, db)\n finally:\n cv2.destroyAllWindows()\n print(\"Shutting down\")","def main():\n \n \n # Grab command line args\n args = build_argparser().parse_args()\n # Connect to the MQTT server\n client = connect_mqtt()\n # Perform inference on the input stream\n infer_on_stream(args, client)","def main():\n # Grab command line args\n args = build_argparser().parse_args()\n #print(args)\n #Connect to the MQTT server\n client = connect_mqtt()\n #Perform inference on the input stream\n infer_on_stream(args, client)","def main():\n # Grab command line args\n args = build_argparser().parse_args()\n #print(\"finished argparser\")\n\n # Connect to the MQTT server\n client = connect_mqtt()\n #print(\"finished mqtt connect\")\n\n # Perform inference on the input stream\n infer_on_stream(args, client)","def main():\n # Grab command line args\n args = build_argparser().parse_args()\n # Connect to the MQTT server\n client = connect_mqtt()\n # Perform inference on the input stream\n infer_on_stream(args, client)","def main():\n # Grab command line args\n args = build_argparser().parse_args()\n # Connect to the MQTT server\n client = connect_mqtt()\n # Perform inference on the input stream\n infer_on_stream(args, client)","def start_gst(self, config=None):\n\n if not config:\n config = \\\n [\n 'videotestsrc ! decodebin',\n '! videoconvert ! video/x-raw,format=(string)BGR ! videoconvert',\n '! appsink'\n ]\n\n command = ' '.join(config)\n self.video_pipe = Gst.parse_launch(command)\n self.video_pipe.set_state(Gst.State.PLAYING)\n self.video_sink = self.video_pipe.get_by_name('appsink0')","def __live_video_stream(self, setting: bool):\n command = 'start' if setting else 'stop'\n self.__video_status[\"in_use\"] = setting\n subprocess.Popen(\"sudo docker {} cam\".format(command).split(), stdout=subprocess.PIPE)\n self.communications.add_event(\"Live Streaming to YouTube {}ing.\".format(command))","def analytic(ctx, src, analytic_addr, verbose):\n\n client = TestClient(src, analytic_addr=analytic_addr, verbose=False)\n client.run()","def main():\n\ttoken = os.getenv(\"BOT_TOKEN\")\n\tapplication = Application.builder().token(token).read_timeout(30).write_timeout(30).build()\n\tload_interactions(application)\n\tprint(\"Simple Media Converter instance started!\")\n\tapplication.run_polling()","def main():\n opts = docopt(__doc__, version=\"cast 0.1\")\n\n cast = pychromecast.PyChromecast(CHROMECAST_HOST)\n ramp = cast.get_protocol(pychromecast.PROTOCOL_RAMP)\n\n # Wait for ramp connection to be initted.\n time.sleep(SLEEP_TIME)\n\n if ramp is None:\n print 'Chromecast is not up or current app does not handle RAMP.'\n return 1\n\n if opts['next']:\n ramp.next()\n elif opts['pause']:\n ramp.pause()\n elif opts['play']:\n ramp.play()\n elif opts['toggle']:\n ramp.playpause()\n elif opts['seek']:\n ramp.seek(opts['<second>'])\n elif opts['rewind']:\n ramp.rewind()\n elif opts['status']:\n _status_command(cast, ramp)\n elif opts['volume']:\n _volume_command(ramp, opts['<value>'])\n\n # Wait for command to be sent.\n time.sleep(SLEEP_TIME)","def remote_video(**kwargs):\n # SSH into the Raspberry Pi\n logging.info(\"Conneting to the Raspberry Pi\")\n ssh_client = connect_to_client()\n\n # Check the inputs\n if kwargs[\"output_filename\"] is None:\n # TODO: Add nice error classes instead of raising exceptions\n raise Exception(\"Missing an output filename\")\n if kwargs[\"destination_filepath\"] is None and not kwargs[\"database\"]:\n raise Exception(\"Missing the filepath to the data destination on local machine\")\n\n # Add \"matrix_decomposition\" to the end of the file if necessary\n if kwargs[\"preprocess_analysis\"] == \"MD\":\n kwargs[\"output_filename\"] = \"_\".join([kwargs[\"output_filename\"], \"matrix_decomposition\"])\n \n if kwargs[\"database\"]:\n database = True\n else:\n database = False\n\n # Create the name of the remote output location\n remote_output_file = os.path.join(\n \"/home/pi/Desktop\",\n kwargs[\"output_filename\"] + \".h264\"\n )\n \n # TODO: Check if the file already exists and delete it if it does\n\n # Record the video on the pi\n video_length = int(kwargs[\"video_length\"])\n cmd = f\"python3 /home/pi/Desktop/capstone/software/data_stream/rpi_camera_collect.py {remote_output_file} --video_length {video_length}\"\n logging.info(\"Launching remote data collection on Raspberry Pi\")\n stdin, stdout, stderr = ssh_client.exec_command(cmd)\n exit_status = stdout.channel.recv_exit_status() \n\n # Check the command exited successfully\n if exit_status != 0:\n logging.error(stderr.read())\n # TODO: Nice error class here\n raise Exception()\n \n # Remotely run preprocess on the data collected by the Raspberry Pi\n output_dir, batch_ids = run_video_preprocess(\n video_file=remote_output_file, \n roi_locations=kwargs[\"roi_locations\"],\n preprocess_analysis=kwargs[\"preprocess_analysis\"],\n ssh_client=ssh_client,\n database=database,\n )\n\n if not kwargs[\"database\"]:\n base_local_output_filepath = kwargs[\"destination_filepath\"]\n local_output_filepath = os.path.join(\n kwargs[\"destination_filepath\"], \n kwargs[\"output_filename\"]\n )\n # TODO: Check if output file already exists on local and delete if it does\n logging.info(\"Copying video file to local machine\")\n # Make the local directory\n if not os.path.exists(base_local_output_filepath):\n os.makedirs(base_local_output_filepath)\n\n # Rsync the file from the Raspberry Pi to the local\n cmd = f\"rsync -avPL pi@{PI_IP}:{output_dir} {base_local_output_filepath}\"\n subprocess.check_call(cmd, shell=True)\n # TODO: Check the files were copied correctly (checksum/filesize) before closing the SSH client\n ssh_client.close()\n else:\n local_output_filepath = None\n\n # Run the analysis pipeline\n # TODO: Batch ID not required here? change in run_pipeline.py\n run_analysis_pipeline(\n preprocess_analysis=kwargs[\"preprocess_analysis\"],\n json_filepath=local_output_filepath,\n )","def main():\n\n parser = ArgumentParser()\n parser.add_argument('--config', '-c', type=str, required=True, help='Path to config file')\n parser.add_argument('--input', '-i', type=str, required=True, help='Path to video')\n parser.add_argument('--snapshot_path', '-s', type=str, required=False, default='', help='Path to snapshot')\n parser.add_argument('--out_scale', type=float, default=1.0, help='Output frame scale')\n parser.add_argument('--deploy', '-d', action='store_true', help='Execute in deploy mode')\n args = parser.parse_args()\n\n assert exists(args.config)\n assert exists(args.input)\n assert exists(args.snapshot_path + '.index')\n assert args.out_scale > 0.0\n\n task_monitor = get_monitor(args.config, snapshot_path=args.snapshot_path)\n task_monitor.demo(args.input, args.out_scale, args.deploy)","def main():\n # Grab command line args\n args = build_argparser().parse_args()\n\n # Create a logger object\n Logger('logger', args.log_level)\n\n # Connect to the MQTT server\n client = connect_mqtt()\n\n # Perform inference on the input stream\n infer_on_stream(args, client)","def start_streamer(params) -> None:\n print(\"Starting streamer...\")\n time.sleep(5)\n cmd = \"./streamer/fakewebcam.py -c \" + params[\"config_file\"] + \" >/dev/null 2>&1\"\n if os.system(cmd) == 0:\n print(\" Success !\")\n else:\n print(\" Failure !\")","def main():\n input_video = sys.argv[1]\n input_audio = sys.argv[2]\n output_video = sys.argv[3]\n set_audio(input_video, input_audio, output_video)","def setup_pipeline(self):\n pipeline = \"rtspsrc protocols=tcp location={} name=src src. ! \"\\\n \"application/x-rtp, media=(string)audio\"\" !\"\\\n \"decodebin ! audioconvert ! pulsesink src. !\"\\\n \"application/x-rtp, media=(string)video\"\" !\"\\\n \"decodebin ! tee name=t ! queue ! videoconvert !\"\\\n \"videoscale ! queue ! jpegenc ! \"\\\n \"appsink name=sink t.! queue ! \"\\\n \"autovideosink\".format(self.url)\n\n self.player = Gst.parse_launch(pipeline)\n bus = self.player.get_bus()\n bus.enable_sync_message_emission()\n bus.connect('sync-message::element', self.on_sync_message)\n bus.add_signal_watch()\n bus.connect('message', self.on_watch_message)","def execute(self):\n self.advertise_and_connect()\n self.display_data()\n self.disconnect()","def run():\n while True:\n try:\n active = pacvert.thequeue.getActive()\n current = pacvert.thequeue.getPending()\n if (active == None) and (current != None):\n pacvert.thequeue.addActive(current)\n active = current\n\n try:\n # setting up codec specific settings\n video = {'codec': pacvert.CONFIG.DEFAULT_CODEC_VIDEO} # set the targets codec\n if pacvert.CONFIG.DEFAULT_CODEC_VIDEO_CROP: # check if cropping is enabled\n video['width'] = active.crop[0] # set width\n video['height'] = active.crop[1] # set height\n video['mode'] = 'crop' # set crop mode\n\n if pacvert.CONFIG.DEFAULT_CODEC_VIDEO == \"h264\": # if target codec is h264\n video['preset'] = pacvert.CONFIG.CODEC_AVC_PRESET # set preset\n video['profile'] = pacvert.CONFIG.CODEC_AVC_PROFILE # set profile\n video['quality'] = pacvert.CONFIG.CODEC_AVC_QUALITY # set quality\n video['tune'] = pacvert.CONFIG.CODEC_AVC_TUNE # set tune\n if pacvert.CONFIG.CODEC_AVC_AUTOMAXRATE: # if automatic maxrate is enabled\n if pacvert.CONFIG.CODEC_AVC_BUFSIZE < 0 or pacvert.CONFIG.CODEC_H264_MAXRATE < 0:\n if 'bit_rate' in active.mediainfo['Video']:\n video['maxrate'] = cast_to_int(active.mediainfo['Video']['bit_rate']) # set maxrate to video track bitrate\n video['bufsize'] = cast_to_int(active.mediainfo['Video']['bit_rate']*3) # set bufsize to three times the video bitrate\n else:\n video['maxrate'] = pacvert.CONFIG.CODEC_AVC_MAXRATE # set maxrate to given value\n video['bufsize'] = pacvert.CONFIG.CODEC_AVC_BUFSIZE # set bufsize to given value\n for anotheropt in pacvert.CONFIG.CODEC_AVC_ADDITIONALOPT: # if additional options are specified\n video[anotheropt] = pacvert.CONFIG.CODEC_AVC_ADDITIONALOPT[anotheropt] # add options to out encoding list\n elif pacvert.CONFIG.DEFAULT_CODEC_VIDEO == \"hevc\": # if target codec is hevc\n video['preset'] = pacvert.CONFIG.CODEC_HEVC_PRESET # set preset\n video['quality'] = pacvert.CONFIG.CODEC_HEVC_QUALITY # set quality\n video['tune'] = pacvert.CONFIG.CODEC_HEVC_TUNE # set tune\n if pacvert.CONFIG.CODEC_HEVC_AUTOMAXRATE: # set max rate\n if pacvert.CONFIG.CODEC_HEVC_BUFSIZE < 0 or pacvert.CONFIG.CODEC_HEVC_MAXRATE < 0:\n if 'bit_rate' in active.mediainfo['Video']:\n video['maxrate'] = cast_to_int(active.mediainfo['Video']['bit_rate']) # set maxrate to video track bitrate\n video['bufsize'] = cast_to_int(active.mediainfo['Video']['bit_rate']*3) # set bufsize to three times the video bitrate\n else:\n video['maxrate'] = pacvert.CONFIG.CODEC_HEVC_MAXRATE # set maxrate to given value\n video['bufsize'] = pacvert.CONFIG.CODEC_HEVC_BUFSIZE # set bufsize to given value\n for anotheropt in pacvert.CONFIG.CODEC_HEVC_ADDITIONALOPT: # if additional options are specified\n video[anotheropt] = pacvert.CONFIG.CODEC_HEVC_ADDITIONALOPT[anotheropt] # add options to out encoding list\n elif pacvert.CONFIG.DEFAULT_CODEC_VIDEO == \"vp8\": # if target codec is vp8\n video['quality'] = pacvert.CONFIG.CODEC_VP8_QUALITY # set video quality\n video['threads'] = pacvert.CONFIG.CODEC_VP8_THREADS # set no of real cores\n else:\n logger.error(\"Codec not yet implemented\")\n\n conv = c.convert(active.fullpath, active.outputfilename,\n {\n 'format': 'mkv',\n 'video': video,\n 'audio': {\n 'codec': pacvert.CONFIG.DEFAULT_CODEC_AUDIO,\n },\n 'subtitle': {\n 'codec': pacvert.CONFIG.DEFAULT_CODEC_SUBTITLE,\n },\n 'map': 0,\n })\n for timecode in conv:\n logger.debug(\"Converting (\"+str(timecode)+\")...\")\n active.progress = timecode\n logger.info(\"Finished File: '\"+active.fullpath+\"'\")\n active.finished = now()\n pacvert.thequeue.addFinished(pacvert.thequeue.getActive()) # set status to finished\n except FFMpegConvertError as e:\n logger.error(\"ffmpeg: \" +e.message + \" with command: \"+ e.cmd)\n\n pacvert.thequeue.addFailed(pacvert.thequeue.getActive()) # set status to failed\n time.sleep(1)\n except Exception as e:\n logger.error(e)","def main():\n parser = argparse.ArgumentParser(description=\"Tracks adult fish\")\n # add options for argument parser\n parser.add_argument(\"in_path\",\n help=\"Path to the video directory.\")\n parser.add_argument(\"out_path\",\n help=\"Directory for results. Should be empty.\")\n parser.add_argument(\"-x\", \"--keep_temp\", action=\"store_true\",\n help=\"Keep temporary folder after execution.\")\n parser.add_argument(\"--visual\", action=\"store_true\",\n help=\"shows a visual representation of the tracking progress.\")\n\n # parse arguments from command line\n args = parser.parse_args()\n # get all file names and directories ready\n out_dir, temp_dir, video_bases, videos = housekeeping(args)\n borders = []\n for i in range(len(videos)):\n v = videos[i]\n get_borders(borders, temp_dir, v)\n\n for i in range(len(videos)):\n vbn = video_bases[i]\n v = videos[i]\n scaled_video = \"scaled_\" + vbn + \".avi\"\n ffmpeg = Ffmpeg(v, os.path.join(temp_dir, scaled_video))\n ffmpeg.f = \"avi\"\n ffmpeg.vcodec = \"libx264rgb\"\n ffmpeg.width = 480\n ffmpeg.run()\n\n for i in range(len(videos)):\n vbn = video_bases[i]\n pts = tracker(args, temp_dir, vbn)\n border = borders[i]\n tracks_lower, tracks_upper = split_tracks(border, pts)\n analysis = Analysis(tracks_lower, tracks_upper, px_size=0.06)\n analysis.analyze(os.path.join(out_dir, 'stats.txt'), vbn, vel=True)\n\n if not args.keep_temp:\n shutil.rmtree(temp_dir)","def main(**args):\n args = Arguments(args) or get_args()\n last_id = args.last_id\n prev_time = time.time()\n\n since_date = datetime.datetime.strptime(args.since_date or datetime.datetime.today().strftime(\"%Y-%m-%d\"), \"%Y-%m-%d\")\n until_date = datetime.datetime.strptime(args.until_date, \"%Y-%m-%d\") if args.until_date else since_date\n\n captured = 0\n finished = False\n results = []\n urls = set()\n\n if args.kafka_brokers:\n producer = KafkaProducer(bootstrap_servers=args.kafka_brokers,\n api_version=(0, 10, 0),\n value_serializer=lambda v:\n json.dumps(v).encode(\"utf-8\"))\n\n if args.output_json:\n j = open(args.output_json, \"w\")\n\n mediacloud = MediaCloud(args.mediacloud_key)\n\n while not finished and since_date <= until_date:\n solr_filter = mediacloud.publish_date_query(until_date, until_date+datetime.timedelta(days=1))\n log.info(f\"Collecting {solr_filter}...\")\n\n while not finished:\n previous_results = results\n\n try:\n results = mediacloud.storyList(solr_query=args.query,\n solr_filter=solr_filter,\n last_processed_stories_id=last_id,\n rows=args.rows)\n\n if not results\\\n or previous_results == results:\n finished = True\n break\n\n for story in results:\n last_id = story[\"processed_stories_id\"]\n\n if args.lang and (story[\"language\"] != args.lang):\n continue\n\n if story[\"url\"]:\n urls_length = len(urls)\n urls.add(story[\"url\"])\n\n if urls_length != len(urls):\n if args.kafka_brokers:\n producer.send(args.topic,\n process_entry(story),\n key=sha1(story[\"url\"].encode(\"utf-8\")).hexdigest().encode(\"utf-8\"))\n if args.output_json:\n json.dump(story, j)\n j.write(\"\\n\")\n captured += 1\n else:\n log.debug(\"Skipping duplicate document: %s\" % story[\"url\"])\n else:\n log.error(f\"Found invalid document: {story}\")\n\n dt = time.time() - prev_time\n if dt > 10:\n log.info(f\"Captured {captured} article(s).\")\n prev_time = time.time()\n\n if args.limit == captured:\n finished = True\n break\n\n except Exception as e:\n log.warning(f\"{e}\")\n break\n\n until_date = until_date - datetime.timedelta(days=1)\n\n log.info(f\"Total of {captured} captured article(s).\")","def play(self, url):\n args = self.config.get(\"args\", \"\")\n cmd = \"/usr/bin/cvlc {} {}\".format(url, args)\n event_logger.info(\"Running %s\", cmd)\n\n # Run the command via Popen directly to open the stream as an independent child\n # process. This way we do not wait for the stream to finish.\n # Output is captured (truncated) to file.\n with open(\"logs/radio.log\", \"w\") as f:\n self.process = subprocess.Popen(cmd.split(), stdout=f, stderr=subprocess.STDOUT)","def run(self):\n\n # Start the video stream process\n self._process.start()","def remote_stream(**kwargs):\n # SSH into the Raspberry Pi\n logging.info(\"Conneting to the Raspberry Pi\")\n ssh_client = connect_to_client()\n sftp_client = ssh_client.open_sftp()\n\n if not os.path.exists(kwargs[\"destination_filepath\"]):\n os.makedirs(kwargs[\"destination_filepath\"])\n\n # Create arguments for the command \n destination_filepath = kwargs[\"destination_filepath\"]\n video_length = kwargs[\"video_length\"]\n preprocess_analysis = kwargs[\"preprocess_analysis\"]\n\n # Launch script to check for data in the output\n cmd = f\"python3 check_local_files.py {destination_filepath}\"\n for roi in kwargs[\"roi_locations\"]:\n cmd += f\" {roi}\"\n if kwargs[\"database\"]:\n cmd += \" --database\"\n cmd += f\" --preprocess_analysis {preprocess_analysis}\"\n proc = subprocess.Popen(cmd, shell=True, stdin=None, stdout=None, stderr=None, close_fds=True)\n\n # Copy data from the Raspberry Pi to the local machine\n while True:\n current_datetime = datetime.now(TIMEZONE)\n batch_id = current_datetime.strftime(\"%Y%m%d%H%M%S\")\n pi_data_dir = os.path.join(\"/home/pi/Desktop\", current_datetime.strftime(\"%Y_%m_%d\"))\n local_filepath = os.path.join(kwargs[\"destination_filepath\"], batch_id + \".h264\")\n\n # Make the data directory if it doesn't already exist\n try:\n sftp_client.stat(pi_data_dir)\n except IOError:\n sftp_client.mkdir(pi_data_dir)\n\n pi_filepath = os.path.join(pi_data_dir, batch_id + \".h264\")\n cmd = f\"source /home/pi/.bash_profile; source /home/pi/envs/pulse_tracer/bin/activate; python3 /home/pi/Desktop/capstone/software/data_stream/rpi_camera_collect.py {pi_filepath} --video_length {video_length}\"\n \n logging.info(f\"Starting data collection on Raspberry Pi for {video_length} seconds\")\n stdin, stdout, stderr = ssh_client.exec_command(cmd)\n exit_status = stdout.channel.recv_exit_status() \n\n # If the remote facial detection was successful, read the output directory\n if exit_status == 0:\n # Transfer data from Raspberry Pi to local\n logging.info(\"Copying remote file to local machine\")\n sftp_client.get(pi_filepath, local_filepath + \".partial\")\n os.rename(local_filepath + \".partial\", local_filepath)\n else:\n logging.error(stderr.read())\n raise Exception()\n \n sftp_client.close()\n ssh_client.close()","def main():\n args = parse_arguments()\n\n if args['list']:\n list_quickstreams()\n sys.exit()\n\n elif args['delete']:\n delete_quickstream(args['delete'])\n sys.exit()\n\n elif args['load']:\n args = load_quickstream(args['load'])\n\n channel = args['channel']\n start_time = args['start_time']\n\n if None in (channel, start_time):\n print(\"Channel and Start_time arguments are required if \"\n \"--delete, --list, or --load aren't being called.\")\n sys.exit()\n\n if args['bookmark']:\n create_bookmark(args)\n\n print(\"Recording of {} will begin around {}\".format(channel, start_time))\n\n # Calculate before recording so it isn't set to next day when stream ends\n if args['reconnect']:\n end_dt = time_to_datetime(args['reconnect'])\n\n start_dt = time_to_datetime(start_time)\n while dt.datetime.now() < start_dt:\n time.sleep(10)\n\n print('Starting recording of {}'.format(channel))\n record_stream(channel, args['quality'], args['filename'])\n\n if args['reconnect']:\n while dt.datetime.now() < end_dt:\n record_stream(channel, args['quality'], None)\n\n if args['shutdown']:\n subprocess.call(['shutdown'])","def main(path):\n logger.info(f'Processing video file {path}')\n # Extract audio\n audio_file = extract_audio(path, pipeline_config.audio_target_dir)\n\n # Generate sound classification results and speech recogniser results\n sound_results = SoundRecogniser().process_file(audio_file)\n sound_results = process_overlap(sound_results)\n speech_results = SpeechRecogniser().process_file(audio_file)\n\n # NLP\n wrds = get_words(speech_results)\n nlp = SpaCyNaturalLanguageProcessor(pipeline_config.spacy_model)\n custom_nlp = SpaCyNaturalLanguageProcessor(pipeline_config.custom_spacy_model)\n processor = nlp.get_spacy_results_processor(wrds, speech_results)\n custom_processor = custom_nlp.get_spacy_results_processor(wrds, speech_results)\n chunk_results = processor.process_speech_results_chunk()\n ner_results = processor.process_speech_results_ner()\n ner_results.extend(custom_processor.process_speech_results_ner())\n match_results = processor.process_speech_results_match()\n speech_results = nlp.process_spurious_words(speech_results, chunk_results)\n\n # Add Speech recogniser results, sound classification results and NLP results to a subtitle file\n subs_1 = save_to_subtitles(speech_results,\n lambda speech_result: speech_result['word'])\n subs_1 = compress_subs(subs_1)\n subs_2 = save_to_subtitles(sound_results,\n lambda sound_result: sound_result['class'])\n subs_2 = flatten_subs(subs_2)\n subs_3 = save_to_subtitles(chunk_results,\n lambda chunk_result: f'{chunk_result[\"word\"]} ({chunk_result[\"head\"]})')\n subs_4 = save_to_subtitles(ner_results,\n lambda ner_result: f'{ner_result[\"type\"]} {ner_result[\"word\"]}')\n subs_5 = save_to_subtitles(match_results,\n lambda match_result: match_result[\"word\"])\n\n combined_subs = append_subs(None, subs_1, style='bottom')\n combined_subs = append_subs(combined_subs, subs_2, exclude=['bottom'], style='top', formatter=lambda x: f'({x})')\n combined_subs = append_subs(combined_subs, subs_3, style='left')\n combined_subs = append_subs(combined_subs, subs_4, style='right')\n combined_subs = append_subs(combined_subs, subs_5, style='bottom_left_pred')\n combined_subs = remove_tiny_subs(combined_subs, duration_millis=1000, left_millis=None,\n right_millis=None, style='top')\n subtitle_file_name = os.path.splitext(path)[0] + '.ass'\n create_styles(combined_subs)\n combined_subs.save(subtitle_file_name)\n\n # Burn to a video\n burn_subtitles_into_video(path, subtitle_file_name, pipeline_config.audio_target_dir)\n logger.info(f'Done processing {audio_file}')","def main():\n # transcribe_audio()\n summarize()","def main():\n parser = ArgumentParser()\n parser.add_argument('pose_config', help='Config file for pose')\n parser.add_argument('pose_checkpoint', help='Checkpoint file for pose')\n parser.add_argument('--video-path', type=str, help='Video path')\n parser.add_argument('--show', type=str2bool, nargs='?',\n default=False, help=\"show results.\")\n parser.add_argument('--device', default='cpu',\n help='Device used for inference')\n parser.add_argument('--box-thr', type=float, default=0.1,\n help='Bounding box score threshold')\n parser.add_argument('--kpt-thr', type=float, default=0.1,\n help='Keypoint score threshold')\n parser.add_argument('--folder_box', type=str, default='')\n parser.add_argument('--save_pixels', type=str2bool, nargs='?',\n const=True, default=False,\n help='saveposes as pixels or ratio of im')\n parser.add_argument('--skip_rate', type=int, default=1)\n parser.add_argument('--flip', type=str2bool, default=False)\n parser.add_argument('--save_vid', type=str2bool, default=False)\n\n args = parser.parse_args()\n\n start(args)","def main():\n configure_logging()\n\n # Attributes tell us what subscription has been created for us to listen to.\n project = get_metadata('instance/attributes/pubsub_subscription_project')\n service_account = get_metadata('instance/attributes/pubsub_service_account')\n subscription = get_metadata('instance/attributes/pubsub_subscription')\n pubsub = PubSub(service_account=service_account)\n\n while True:\n logging.info('Polling for new messages')\n ack_ids = []\n start_time = time.time()\n response = pubsub.pull(subscription, project)\n for message in response.get('receivedMessages', []):\n ack_ids.append(message['ackId'])\n attributes = message['message'].get('attributes', {})\n message = base64.b64decode(message['message'].get('data', ''))\n logging.info(\n 'Received message: %s\\nAttributes: %s',\n message,\n json.dumps(attributes, indent=2),\n )\n\n if message == 'CONNECT' and attributes.get('swarming_server'):\n if os.path.exists(SWARMING_UPSTART_CONFIG_DEST):\n os.remove(SWARMING_UPSTART_CONFIG_DEST)\n shutil.copy2(SWARMING_UPSTART_CONFIG_SRC, SWARMING_UPSTART_CONFIG_DEST)\n\n if not os.path.exists(SWARMING_BOT_DIR):\n os.mkdir(SWARMING_BOT_DIR)\n chrome_bot = pwd.getpwnam(CHROME_BOT)\n os.chown(SWARMING_BOT_DIR, chrome_bot.pw_uid, chrome_bot.pw_gid)\n\n if os.path.exists(SWARMING_BOT_ZIP):\n # Delete just the zip, not the whole directory so logs are kept.\n os.remove(SWARMING_BOT_ZIP)\n\n bot_code = urllib2.urlopen(urlparse.urljoin(\n attributes.get('swarming_server'), 'bot_code'))\n with open(SWARMING_BOT_ZIP, 'w') as fd:\n shutil.copyfileobj(bot_code, fd)\n os.chown(SWARMING_BOT_ZIP, chrome_bot.pw_uid, chrome_bot.pw_gid)\n\n pubsub.acknowledge(subscription, project, ack_ids)\n subprocess.check_call(['/sbin/shutdown', '-r', 'now'])\n elif message == 'LEASED' and attributes.get('lease_expiration_ts'):\n with open(LEASE_EXPIRATION_FILE, 'w') as f:\n f.write(attributes['lease_expiration_ts'])\n\n if ack_ids:\n pubsub.acknowledge(subscription, project, ack_ids)\n if time.time() - start_time < 1:\n # Iterate at most once per second (chosen arbitrarily).\n time.sleep(1)","def run(mq_url):\n worker = Worker(PoseWorker.payload_handler,\n DBPublisher(mq_url), 'pose', mq_url)\n worker.start_consuming()","def run(self):\n\n self.start_gst(\n [\n self.video_source,\n self.video_codec,\n self.video_decode,\n self.video_sink_conf\n ])\n\n self.video_sink.connect('new-sample', self.callback)","def streamer(self):\n retry = 3\n print ('start streamer!')\n while self.container is None and 0 < retry:\n if not self.collect_frames:\n break\n #print (type(self.container))\n retry -= 1\n try:\n self.container = av.open(self.drone.get_video_stream())\n print('success')\n except av.AVError as ave:\n print(ave)\n print('retry...')","def main(text):\n\n # Get CHATBOT response from the user input.\n bot_response = CHATBOT.get_response(text).text\n print(bot_response)\n\n # Get polarity score from CHATBOT response.\n analysis = VADER_ANALYZER.polarity_scores(text)\n\n # Change polarity score relatively to a audible frequency.\n freq = (analysis['compound'] - -1) / (1 - -1) * (800 - 200) + 200\n\n # Send OSC message, to be listened to by pd.\n CLIENT.send_message(\"/filter\", freq)\n\n # Log conversation.\n exchange = {text: bot_response}\n _log_conversation(\"conversation.db\", exchange)","def main(args=None):\n if not args:\n args = sys.argv[1:]\n\n CONF.setup(args) # re-conf\n\n # upstream link configured in local broker\n consume(work, 'stableIDs', 'completed')","async def setup(self, timing_server_port: int, control_client_port: int) -> None:\n verifier = pair_verify(self.context.credentials, self.rtsp.connection)\n await verifier.verify_credentials()\n\n await self.rtsp.announce(\n self.context.bytes_per_channel,\n self.context.channels,\n self.context.sample_rate,\n self.context.password,\n )\n\n resp = await self.rtsp.setup(\n headers={\n \"Transport\": (\n \"RTP/AVP/UDP;unicast;interleaved=0-1;mode=record;\"\n f\"control_port={control_client_port};\"\n f\"timing_port={timing_server_port}\"\n )\n }\n )\n _, options = parse_transport(resp.headers[\"Transport\"])\n self.context.timing_port = int(options.get(\"timing_port\", 0))\n self.context.control_port = int(options[\"control_port\"])\n self.context.rtsp_session = int(resp.headers[\"Session\"])\n self.context.server_port = int(options[\"server_port\"])\n\n _LOGGER.debug(\n \"Remote ports: control=%d, timing=%d, server=%d\",\n self.context.control_port,\n self.context.timing_port,\n self.context.server_port,\n )","def run(args, messenger):\n assert args.schema_registry_host is not None and args.schema is not None\n\n value_schema = avro.load(args.schema)\n conf = {'bootstrap.servers': \"{}:9092\".format(args.schema_registry_host),\n 'schema.registry.url': \"http://{}:8081\".format(args.schema_registry_host)}\n avro_producer = AvroProducer(conf, default_value_schema=value_schema)\n\n while True:\n\n # Get current timestamp\n timestamp = int(time.time())\n\n # Assemble avro-formatted message filled with generated data\n message, values = messenger.get_message(timestamp)\n\n # Publish the message under the specified topic on the message bus\n # avro_producer.produce(topic=args.topic, value=message)\n\n if args.carbon_host is not None:\n # If a Carbon host is provided, send to Grafana dashboard\n messenger.send_dashboard(timestamp, values, args.carbon_host)\n\n # Flush the buffer\n avro_producer.flush()\n\n # Wait a second\n time.sleep(1.0 / args.frequency)","def main():\n config = configparser.ConfigParser()\n config.read('dwh.cfg')\n try: \n conn = psycopg2.connect(\"host={} dbname={} user={} password={} port={}\".format(*config['CLUSTER'].values()))\n cur = conn.cursor()\n \n # copy data from S3 to staging tables in redshift\n print('Staging song and log data. This takes several minutes!')\n execute_query_list(cur, conn, copy_table_queries)\n \n print('Populating analytics tables.')\n # fill analytical tables from staging tables\n execute_query_list(cur, conn, insert_table_queries)\n finally:\n conn.close()","def main(annotate_uri, api_key, title, tags, description, start_time, end_time, debug):\n\n log_level = logging.INFO\n if debug:\n log_level = logging.DEBUG\n\n logging.basicConfig(format=' [%(levelname)s] %(message)s', level=log_level)\n\n try:\n if description is None:\n if not sys.stdin.isatty():\n description = \"\".join([line for line in iter(sys.stdin.readline, '')])\n else:\n description = \"\"\n\n this_annotation = Annotation(title, tags, description, start_time, end_time)\n result = this_annotation.send(annotate_uri, api_key)\n\n if result['event_data']:\n logging.debug(result['event_data'])\n if result['message']:\n logging.info(result['message'])\n\n except Exception as e:\n logging.exception(e)\n \"\"\"\n We could exit 1 here but we really don't want to cause a job to\n fail just because we couldn't send an event.\n \"\"\"\n\n sys.exit(0)","def main()->None:\n #Define key words\n keyword_list = ['#DataScience', '#MachineLearning', '#artificialintelligence', '#AI', '#ai', '#machinelearning',\n '#deeplearning', 'DeepLearning', '#ML', '#ArtificialIntelligence', '#machinelearning',\n 'DigitalTransformation'] # track list\n\n #Initiate Time\n start_time = time.time() # grabs the system time\n print(\"Launch! \\n\")\n\n #Listen to twitter\n twitterStream = Stream(Authentification(), listener.Listener(start_time, time_limit=3600)) # initialize Stream object with a time out limit\n twitterStream.filter(track=keyword_list, languages=['en']) # call the filter method to run the Stream Object\n print('Exctraction from twitter succesful')","def main():\n parser = argparse.ArgumentParser()\n parser.add_argument('--visualize', dest='visualize_dir', help=\"Path to directory to load all vizualization info from\")\n parser.add_argument('--overwrite', dest='overwrite', default=False, action='store_true', help=\"Overwrite existing logs parts if found\")\n args = parser.parse_args()\n if not args.visualize_dir:\n print \"Missing required argument, --visualize\"\n exit(-1)\n\n dsrc_log_file = args.visualize_dir + '/dsrc.log'\n radar_log_file = args.visualize_dir + '/radar.log'\n video_file = args.visualize_dir + '/video.mp4'\n log_config = args.visualize_dir + '/config.json'\n\n config = parse_config(log_config)\n\n if 'parts_auto_enabled' in config and config['parts_auto_enabled']:\n cap = cv2.VideoCapture(video_file)\n fps = cap.get(cv2.CAP_PROP_FPS)\n frames = cap.get(cv2.CAP_PROP_FRAME_COUNT)\n duration = float(frames) / fps\n cap.release()\n\n print 'Video duration: %s' % duration\n start = 0\n count = 1\n while start < duration:\n config['parts'].append({\n 'start': start,\n 'end': start + config['parts_auto_interval'],\n 'name': 'auto_part_%s' % count\n })\n count = count + 1\n start = start + config['parts_auto_interval']\n\n print config \n\n for index, part in enumerate(config['parts']):\n part_path = args.visualize_dir + '/' + (part['name'] if 'name' in part else 'part_%s' % (index+1))\n print \"---------------------------------------\"\n print \" Writing log to %s\" % part_path\n print \"---------------------------------------\"\n if not args.overwrite and os.path.exists(part_path):\n print \"Log already exists, skipping...\"\n continue\n\n if not os.path.exists(part_path):\n os.makedirs(part_path)\n\n export_part_video(part, part_path, video_file)\n export_part_log(part, part_path + '/radar.log', radar_log_file, config['video_start'])\n export_part_log(part, part_path + '/dsrc.log', dsrc_log_file, config['video_start'])\n export_part_config(part_path + '/config.json', config)","def main():\n parser = argparse.ArgumentParser()\n parser.add_argument('source_path', help=\"Path to the video or audio file to subtitle\",\n nargs='?')\n parser.add_argument('-C', '--concurrency', help=\"Number of concurrent API requests to make\",\n type=int, default=DEFAULT_CONCURRENCY)\n parser.add_argument('-o', '--output',\n help=\"Output path for subtitles (by default, subtitles are saved in \\\n the same directory and name as the source path)\")\n parser.add_argument('-F', '--format', help=\"Destination subtitle format\",\n default=DEFAULT_SUBTITLE_FORMAT)\n parser.add_argument('-S', '--src-language', help=\"Language spoken in source file\",\n default=DEFAULT_SRC_LANGUAGE)\n parser.add_argument('-D', '--dst-language', help=\"Desired language for the subtitles\",\n default=DEFAULT_DST_LANGUAGE)\n parser.add_argument('-K', '--api-key',\n help=\"The Google Translate API key to be used. \\\n (Required for subtitle translation)\")\n parser.add_argument('--list-formats', help=\"List all available subtitle formats\",\n action='store_true')\n parser.add_argument('--list-languages', help=\"List all available source/destination languages\",\n action='store_true')\n\n parser.add_argument('--min_height', help=\"minimum height from 0 - 100%\", type=float, default=93)\n\n parser.add_argument('--max_height', help=\"maximum height from 0 - 100%\", type=float, default=99)\n\n parser.add_argument('--l_v', help=\"Light sensitive\", type=float, default=210)\n\n parser.add_argument('--debug', help=\"Allows to show cropped image on the desktop\", action='store_true', default=True)\n\n parser.add_argument('--cloud', help=\"Use google cloud compute to extract text\", action='store_true', default=False)\n\n parser.add_argument('--disable_time', help=\"Parse time function\", action='store_true')\n\n parser.add_argument('--all', help=\"Render all files\", action='store_true')\n\n args = parser.parse_args()\n\n if args.list_formats:\n print(\"List of formats:\")\n for subtitle_format in FORMATTERS:\n print(\"{format}\".format(format=subtitle_format))\n return 0\n\n if args.list_languages:\n print(\"List of all languages:\")\n for code, language in sorted(LANGUAGE_CODES.items()):\n print(\"{code}\\t{language}\".format(code=code, language=language))\n return 0\n\n if not validate(args):\n return 1\n\n try:\n if args.all:\n for file in os.listdir():\n # *.avi *.flv *.mkv *.mpg *.mp4 *.webm\n if file.endswith('.avi') or file.endswith('.flv') or file.endswith('.mkv') or file.endswith('.mpg') or file.endswith('.mp4') or file.endswith(\".webm\"):\n st = time.time()\n subtitle_file_path = generate_subtitles(\n source_path=file,\n dst_language=args.dst_language,\n output=args.output,\n debug=args.debug,\n cloud=args.cloud,\n disable_time=args.disable_time,\n min_height=args.min_height,\n max_height=args.max_height,\n l_v=args.l_v,\n )\n print(\"Subtitles file created at {} time consumer: {}\".format(subtitle_file_path, time.time() - st))\n else:\n st = time.time()\n subtitle_file_path = generate_subtitles(\n source_path=args.source_path,\n dst_language=args.dst_language,\n output=args.output,\n debug=args.debug,\n cloud=args.cloud,\n disable_time=args.disable_time,\n min_height=args.min_height,\n max_height=args.max_height,\n l_v=args.l_v,\n )\n print(\"Subtitles file created at {} time consumer: {}\".format(subtitle_file_path, time.time() - st))\n except KeyboardInterrupt:\n return 1\n\n return 0","def start_publishing(self):\n print(f\"{self._connection_param}: Issuing consumer related RPC commands\")\n # self._channel.confirm_delivery(self.on_delivery_confirmation)\n self.schedule_next_message(self.SLOW_SEND)","def run_rtmpdump(info, output, extra_arg=\"\"):\n args = [\n \"rtmpdump\",\n \"--quiet\",\n \"--live\",\n extra_arg,\n \"--rtmp\", \"rtmp://\" + info[2] + \"/live-edge\",\n \"--pageUrl\", \"http://chaturbate.com/\" + info[1],\n \"--conn\", \"S:\" + info[8],\n \"--conn\", \"S:\" + info[1],\n \"--conn\", \"S:2.645\",\n \"--conn\", \"S:\" + urllib.unquote(info[15]),\n \"--token\", \"m9z#$dO0qe34Rxe@sMYxx\",\n \"--playpath\", \"playpath\",\n \"--flv\", output\n ]\n\n return subprocess.Popen(args)","def main():\n parser = argparse.ArgumentParser(description=\"\"\"Tester for YT Data API and different inputs\"\"\")\n parser.add_argument('-a', '--analytics', help='Performs a basic analytics lookup for the user\\'s channel entered')\n parser.add_argument('-c', '--comments', help='Performs a lookup of comments for the video id entered')\n args = parser.parse_args()\n\n if args.analytics:\n analytics = args.analytics\n analyt(analytics)\n\n if args.comments:\n comments = args.comments\n get_comments(comments)","def main():\n parser = optparse.OptionParser(usage=USAGE)\n parser.add_option('--records', dest='record_count', type=int,\n help='The number of archive records to create.',\n default=2)\n parser.add_option('--interval', dest='interval', type=int,\n help='The archive interval in seconds.',\n default=300)\n parser.add_option('--delay', dest='delay', type=int,\n help='The archive delay in seconds.',\n default=15)\n parser.add_option(\"--units\", choices=[\"US\", \"METRIC\", \"METRICWX\"],\n help=\"The default units if not in MQTT payload.\",\n default=\"US\")\n parser.add_option(\"--binding\", choices=[\"archive\", \"loop\"],\n help=\"The type of binding.\",\n default=\"archive\")\n parser.add_option(\"--type\", choices=[\"driver\", \"service\"],\n help=\"The simulation type.\",\n default=\"driver\")\n parser.add_option(\"--verbose\", action=\"store_true\", dest=\"verbose\",\n help=\"Log extra output (debug=1).\")\n parser.add_option(\"--console\", action=\"store_true\", dest=\"console\",\n help=\"Log to console in addition to syslog.\")\n parser.add_option(\"--host\",\n help=\"The MQTT server.\")\n parser.add_option(\"--topics\",\n help=\"Comma separated list of topics to subscribe to.\")\n parser.add_option(\"--callback\",\n help=\"The callback type.\")\n\n (options, args) = parser.parse_args()\n\n simulation_type = options.type\n binding = options.binding\n record_count = options.record_count\n interval = options.interval\n delay = options.delay\n units = weewx.units.unit_constants[options.units]\n\n syslog.openlog('wee_MQTTSS', syslog.LOG_PID | syslog.LOG_CONS)\n if options.verbose:\n syslog.setlogmask(syslog.LOG_UPTO(syslog.LOG_DEBUG))\n else:\n syslog.setlogmask(syslog.LOG_UPTO(syslog.LOG_INFO))\n\n config_path = os.path.abspath(args[0])\n\n config_dict = configobj.ConfigObj(config_path, file_error=True)\n\n if options.topics:\n topics = options.topics.split(',')\n config_dict['MQTTSubscribeService']['topics'] = {}\n config_dict['MQTTSubscribeDriver']['topics'] = {}\n for topic in topics:\n weeutil.config.merge_config(config_dict,\n {'MQTTSubscribeService': {'topics': {topic:{}}}})\n weeutil.config.merge_config(config_dict,\n {'MQTTSubscribeDriver': {'topics': {topic:{}}}})\n\n if options.host:\n weeutil.config.merge_config(config_dict,\n {'MQTTSubscribeService': {'host': options.host}})\n weeutil.config.merge_config(config_dict,\n {'MQTTSubscribeDriver': {'host': options.host}})\n\n if options.callback:\n weeutil.config.merge_config(config_dict,\n {'MQTTSubscribeService': {'message_callback': {'type': options.callback}}})\n weeutil.config.merge_config(config_dict,\n {'MQTTSubscribeDriver': {'message_callback': {'type': options.callback}}})\n\n min_config_dict = {\n 'Station': {\n 'altitude': [0, 'foot'],\n 'latitude': 0,\n 'station_type': 'Simulator',\n 'longitude': 0\n },\n 'Simulator': {\n 'driver': 'weewx.drivers.simulator',\n },\n 'Engine': {\n 'Services': {}\n }\n }\n\n print(\"Simulation is %s\" % simulation_type)\n print(\"Creating %i %s records\" % (record_count, binding))\n print(\"Interval is %i seconds\" % interval)\n print(\"Delay is %i seconds\" % delay)\n\n engine = StdEngine(min_config_dict)\n\n weewx.accum.initialize(config_dict)\n\n # override the configured binding with the parameter value\n weeutil.config.merge_config(config_dict,\n {'MQTTSubscribeService': {'binding': binding}})\n\n # if specified, override the console logging\n if options.console:\n weeutil.config.merge_config(config_dict,\n {'MQTTSubscribeService': {'console': True}})\n weeutil.config.merge_config(config_dict,\n {'MQTTSubscribeDriver': {'console': True}})\n\n if simulation_type == \"service\":\n simulate_service(engine, config_dict, binding, record_count, interval, delay, units)\n elif simulation_type == \"driver\":\n driver = \"user.MQTTSubscribe\"\n __import__(driver)\n # This is a bit of Python wizardry. First, find the driver module\n # in sys.modules.\n driver_module = sys.modules[driver]\n # Find the function 'loader' within the module:\n loader_function = getattr(driver_module, 'loader')\n driver = loader_function(config_dict, engine)\n\n if binding == \"archive\":\n simulate_driver_archive(driver, record_count, interval, delay)\n elif binding == \"loop\":\n simulate_driver_packet(driver, record_count)","def run(config, logging, inq, subscribe_callback, unsubscribe_callback):","def run_from_cli():\n cli_utils.setup_logging()\n parser = argparse.ArgumentParser()\n parser.add_argument(\"--peer-application\", \"-a\",\n help=\"BGP peer application name. Default: quagga\",\n default=\"quagga\")\n\n options = parser.parse_args()\n peer_application_name = cli_utils.parse_arg(options,\n \"peer_application\")\n\n setup_bgp_speaker(peer_application_name)","def planner_cmd_callback(self, msg):\n\n # Use planner input directly\n self.mix_cmd_pub.publish(msg)","def main():\n if len(sys.argv) < 4:\n print(\"usage: %s [address]\" % sys.argv[0])\n return 1\n pos = 12\n first_one = True\n for address in sys.argv[1:]:\n tv = Mdc(address)\n tv.connect()\n if not first_one:\n tv.set_source(0x25)\n first_one = False\n tv.video_wall_on()\n tv.set_video_wall(4, 3, pos)\n pos -= 1\n return 0","def open_video(self):\n\n # start the stream on the bebop\n if (self.is_bebop):\n self.drone_object.start_video_stream()\n\n # we have bypassed the old opencv VideoCapture method because it was unreliable for rtsp\n\n # get the path for the config files\n fullPath = inspect.getfile(DroneVisionGUI)\n shortPathIndex = fullPath.rfind(\"/\")\n if (shortPathIndex == -1):\n # handle Windows paths\n shortPathIndex = fullPath.rfind(\"\\\\\")\n print(shortPathIndex)\n shortPath = fullPath[0:shortPathIndex]\n self.imagePath = join(shortPath, \"images\")\n self.utilPath = join(shortPath, \"utils\")\n print(self.imagePath)\n print(self.utilPath)\n\n if self.is_bebop:\n # generate the streaming-address for the Bebop\n self.utilPath = join(shortPath, \"utils\")\n self.stream_adress = \"%s/bebop.sdp\" % self.utilPath\n else:\n # generate the streaming-address for the Mambo\n self.stream_adress = \"rtsp://192.168.99.1/media/stream2\"\n\n # initialise the vlc-player with the network-caching\n self.player = vlc.MediaPlayer(self.stream_adress, \":network-caching=\" + str(self.network_caching))\n\n # start the buffering\n success = self._start_video_buffering()","def run(config):\n\tlog.debug('-- in example.py')\n#\tgetWLSMachineandandExecuteSecondary(config)\n#\t__createPegaConfigCommand(config)\n#\tcreateUsers(config)\n#\t__connectAdminServer(config)\n\tconnectAdminServerOverSSL(config)","def start_ffmpeg_record(stream, stream_url, formatted_date):\n filename = stream + '_' + formatted_date\n save_video_dir = 'rover_stream/' + stream\n subprocess.Popen(['mkdir rover_stream'], shell=True)\n subprocess.Popen(['mkdir ' + save_video_dir], shell=True)\n proc_video[stream] = subprocess.Popen(['ffmpeg -i ' + stream_url + ' -acodec copy -vcodec copy ' + save_video_dir + '/' + filename + '.mp4'], stdin=PIPE, shell=True)","def main():\n docopt = docoptinit(__doc__)\n logging.basicConfig(level=logging.INFO,\n format='[%(asctime)s] [%(levelname)s] [ %(filename)s:%(lineno)s - %(name)s ] %(message)s ')\n logging.info('basic config')\n # qb.set_logger(__file__, debug=docopt['--debug'])\n host = docopt['--host']\n port = int(docopt['--port'])\n if not (1 <= port <= 65535):\n raise Exception('port must be 1-65535')\n\n global verbose\n verbose = int(docopt['--verbose'])\n loop = asyncio.get_event_loop()\n try:\n loop.run_until_complete(start_warp_server(host, port))\n loop.run_forever()\n except OSError:\n pass\n except KeyboardInterrupt:\n print('bye')\n finally:\n loop.close()","def run(self):\n\t\t\n\t\tself.connect(self.config[\"server\"])","def main():\n\n # Parse arguments\n parser = OptionParser()\n parser.add_option('-n', '--subscription_key', dest='subscription_key',\n help='subscription_key for authentication')\n parser.add_option('-t', '--text', dest='text',\n help='text to synthesize')\n parser.add_option('-l', '--language', dest='language',\n help='language')\n parser.add_option('-g', '--gender', dest='gender',\n help='gender')\n parser.add_option('-d', '--directory', dest='directory',\n help='directory to store the file')\n (options, args) = parser.parse_args()\n subscription_key = options.subscription_key\n text = options.text\n language = options.language\n gender = options.gender\n directory = options.directory\n\n # Perform sanity checks on options\n validate_options(subscription_key, text)\n\n if not directory:\n directory = default_directory\n\n if not language:\n language = default_language\n\n if not gender:\n gender = default_gender\n\n # format = 'riff-16khz-16bit-mono-pcm'\n format = 'riff-8khz-8bit-mono-mulaw'\n\n # lang = 'en-AU'\n # gender = 'Female'\n tts_msspeak = MSSpeak(subscription_key, '/tmp/')\n tts_msspeak.set_cache(False)\n output_filename = tts_msspeak.speak(text, language, gender, format)\n\n print 'Recorded TTS to %s%s' % (directory, output_filename)","def script_load(settings):\n log_threadsafe(obs.LOG_DEBUG, 'Plugin loaded')\n \n recording_signal_handler = obs.obs_output_get_signal_handler(obs.obs_frontend_get_recording_output())\n obs.signal_handler_connect(recording_signal_handler, \"start\", trigger_recording_started)\n obs.signal_handler_connect(recording_signal_handler, \"stop\", trigger_recording_stopped)\n \n global pipe\n pipe = win32pipe.CreateNamedPipe(\n r'\\\\.\\pipe\\%s' % pipe_name(),\n win32pipe.PIPE_ACCESS_DUPLEX,\n win32pipe.PIPE_TYPE_MESSAGE | win32pipe.PIPE_READMODE_MESSAGE | win32pipe.PIPE_WAIT,\n 1, 65536, 65536,\n 0,\n None)\n \n #have_client_to_speak_with = False #It is the default value, but it must be intact\n init_client_seeker()","def start(self):\n tokyo_time = datetime.datetime.now(tz=TOKYO_TZ)\n\n # TODO: Does this work on Windows now?\n env = os.environ.copy()\n\n # remove proxy information\n for key in ('http_proxy', 'https_proxy', 'HTTP_PROXY', 'HTTPS_PROXY'):\n env.pop(key, None)\n\n self.update_streaming_url()\n\n # TODO: rework this whole process to include lhls, and make it configurable\n # and less braindead\n if not self._protocol:\n self._protocol = 'rtmp'\n if not self._ffmpeg_container:\n self._ffmpeg_container = 'mp4'\n extra_args = []\n # Fall back to HLS if no RTMP stream available\n # Better to do this here or in update_streaming_url?\n # There's a possible race condition here, if some external thread modifies either of these\n if not self._rtmp_url and self._protocol == 'rtmp':\n download_logger.warn('Using HLS downloader for {}'.format(self._room.handle))\n self._protocol = 'hls'\n\n # extra_args = []\n # force using TS container with HLS\n # this is causing more problems than it solves\n # if self.protocol in ('hls', 'lhls'):\n # self._ffmpeg_container = 'ts'\n\n # 2020-01-10: those problems were preferrable to completely unwatchable streams\n if self.protocol in ('hls', 'lhls'):\n extra_args = [\"-copyts\"]\n if self._ffmpeg_container == 'mp4':\n extra_args.extend([\"-bsf:a\", \"aac_adtstoasc\"])\n\n # I don't think this is needed?\n # if self._ffmpeg_container == 'ts':\n # extra_args.extend(['-bsf:v', 'h264_mp4toannexb'])\n # elif self._ffmpeg_container != 'mp4':\n # # TODO: support additional container formats, e.g. FLV\n # self._ffmpeg_container = 'mp4'\n temp, dest, out = format_name(self._rootdir,\n strftime(tokyo_time, FULL_DATE_FMT),\n self._room, ext=self._ffmpeg_container)\n\n with self._lock:\n self.tempdir, self.destdir, self.outfile = temp, dest, out\n\n if self._logging is True:\n log_file = os.path.normpath('{}/logs/{}.log'.format(self.destdir, self.outfile))\n env.update({'FFREPORT': 'file={}:level=40'.format(log_file)})\n # level=48 is debug mode, with lots and lots of extra information\n # maybe too much\n normed_outpath = os.path.normpath('{}/{}'.format(self.tempdir, self.outfile))\n\n self._process = subprocess.Popen([\n self._ffmpeg_path,\n # '-nostdin',\n # '-nostats', # will this omit any useful information?\n '-loglevel', '40', # 40+ required for wait() to check output\n '-copytb', '1',\n '-i', self.stream_url,\n '-c', 'copy',\n *extra_args,\n normed_outpath\n ],\n stdin=subprocess.DEVNULL,\n stderr=subprocess.PIPE, # ffmpeg sends all output to stderr\n universal_newlines=True,\n bufsize=1,\n env=env)","def start_transcribing():\n transcribe.main()","def main(): # noqa: D401\n service = MagmaService('subscriberdb', mconfigs_pb2.SubscriberDB())\n\n # Optionally pipe errors to Sentry\n sentry_init(service_name=service.name, sentry_mconfig=service.shared_mconfig.sentry_config)\n\n suciprofile_db_dict = {}\n\n # Initialize a store to keep all subscriber data.\n store = SqliteStore(\n service.config.get('db_path'), loop=service.loop,\n sid_digits=service.config.get('sid_last_n'),\n )\n\n # Initialize the processor\n processor = Processor(\n store,\n get_default_sub_profile(service),\n service.mconfig.sub_profiles,\n service.mconfig.lte_auth_op,\n service.mconfig.lte_auth_amf,\n )\n\n # Add all servicers to the server\n subscriberdb_servicer = SubscriberDBRpcServicer(\n store,\n processor,\n service.config.get('print_grpc_payload', False),\n )\n subscriberdb_servicer.add_to_server(service.rpc_server)\n\n suciprofilerdb_servicer = SuciProfileDBRpcServicer(\n store,\n suciprofile_db_dict,\n service.config.get('print_grpc_payload', False),\n )\n suciprofilerdb_servicer.add_to_server(service.rpc_server)\n\n # Start a background thread to stream updates from the cloud\n if service.config.get('enable_streaming'):\n grpc_client_manager = GRPCClientManager(\n service_name=\"subscriberdb\",\n service_stub=SubscriberDBCloudStub,\n max_client_reuse=60,\n )\n sync_interval = service.mconfig.sync_interval\n subscriber_page_size = service.config.get('subscriber_page_size')\n subscriberdb_cloud_client = SubscriberDBCloudClient(\n service.loop,\n store,\n subscriber_page_size,\n sync_interval,\n suciprofile_db_dict,\n grpc_client_manager,\n )\n\n subscriberdb_cloud_client.start()\n else:\n logging.info(\n 'enable_streaming set to False. Subscriber streaming '\n 'disabled!',\n )\n\n # Wait until the datastore is populated by addition or resync before\n # listening for clients.\n async def serve(): # noqa: WPS430\n if not store.list_subscribers():\n # Waiting for subscribers to be added to store\n await store.on_ready()\n\n if service.config.get('enable5g_features', service.mconfig.enable5g_features):\n logging.info('Cater to 5G Authentication')\n m5g_subs_auth_servicer = M5GAuthRpcServicer(\n processor,\n service.config.get('print_grpc_payload', False),\n )\n m5g_subs_auth_servicer.add_to_server(service.rpc_server)\n\n if service.config.get('enable5g_features', service.mconfig.enable5g_features):\n logging.info('Cater to 5G SUPI Registration')\n m5g_suci_reg_servicer = M5GSUCIRegRpcServicer(\n processor,\n suciprofile_db_dict,\n service.config.get('print_grpc_payload', False),\n )\n m5g_suci_reg_servicer.add_to_server(service.rpc_server)\n\n if service.config.get('s6a_over_grpc'):\n logging.info('Running s6a over grpc')\n s6a_proxy_servicer = S6aProxyRpcServicer(\n processor,\n service.config.get('print_grpc_payload', False),\n )\n s6a_proxy_servicer.add_to_server(service.rpc_server)\n else:\n logging.info('Running s6a over DIAMETER')\n base_manager = base.BaseApplication(\n service.config.get('mme_realm'),\n service.config.get('mme_host_name'),\n service.config.get('mme_host_address'),\n )\n s6a_manager = _get_s6a_manager(service, processor)\n base_manager.register(s6a_manager)\n\n # Setup the Diameter/s6a MME\n s6a_server = service.loop.create_server(\n lambda: S6aServer(\n base_manager,\n s6a_manager,\n service.config.get('mme_realm'),\n service.config.get('mme_host_name'),\n loop=service.loop,\n ),\n service.config.get('host_address'),\n service.config.get('mme_port'),\n )\n asyncio.ensure_future(s6a_server, loop=service.loop)\n\n asyncio.ensure_future(serve(), loop=service.loop)\n\n # Run the service loop\n service.run()\n\n # Cleanup the service\n service.close()","def proxy(ctx, port, analytic_addr):\n proxy_svc = StreamingProxy(\n name=__name__, port=port, analytic_addr=analytic_addr)\n sys.exit(proxy_svc.Run())","def set_up_stream(self,email,api_key,client_ip,server_IP):\n try:\n valid = self.validate.validate_user(email,api_key)\n if (valid):\n try:\n requests.post(f\"http://{server_IP}:6000/sensor_off\")\n except:\n print(\"Sensor was not active\")\n try:\n content = {'email':email,'api_key':api_key}\n content = json.dumps(content)\n headers = {\"Content-Type\":\"application/json\"}\n requests.post(f\"http://{server_IP}:8000/shutdown_stream\", data = content,headers = headers,verify=False)\n\n time.sleep(1)\n except:\n print(\"Video stream was not active\")\n\n # subprocess.call(['python3', '/home/Project_Group_9/model/video_stream.py', str(client_ip), str(PORT)])\n # call(f\"python3 /home/Project_Group_9/model/video_stream.py {client_ip} {PORT}\", shell=True)\n # run(\"/home/Project_Group_9/model/video_stream.py\", client_ip, PORT)\n start_command = f\"sudo python3 /home/Project_Group_9/model/video_stream.py {client_ip} {PORT} {server_IP} &\"\n os.system(start_command)\n time.sleep(5)\n return json.dumps({'port':PORT, 'server_ip': server_IP})\n return '', 403\n except:\n return '', 500","def rtsp(ctx, src, endpoint, verbose):\n import gi\n gi.require_version('Gst', '1.0')\n gi.require_version('GstRtspServer', '1.0')\n from gi.repository import Gst, GstRtspServer, GObject\n from ace.rtspserver import GstServer\n GObject.threads_init()\n Gst.init(None)\n\n if src.isdigit():\n src = int(src)\n cap = cv2.VideoCapture(src)\n cap.set(cv2.CAP_PROP_FRAME_WIDTH, 640)\n cap.set(cv2.CAP_PROP_FRAME_HEIGHT, 480)\n\n server = GstServer(cap, \"/{!s}\".format(endpoint), verbose)\n\n loop = GObject.MainLoop()\n loop.run()","def cli(stage, maas_url, maas_key, debug, output_log):\n if debug:\n log.setLevel(logging.DEBUG)\n detail = {'start': datetime.utcnow().isoformat(), }\n results = {}\n log_id = '{}-{}'.format(str(stage), datetime.utcnow().isoformat().replace(':', '_').replace('.', '_'))\n dt = datetime.utcnow()\n results['_summary'] = {'start': dt.isoformat()}\n log.info('Starting to run proces for stage {} with commands: '.format(str(stage), COMMAND_LIST[:stage + 1]))\n last_status_code = 0\n for cmd in COMMAND_LIST[:stage + 1]:\n if last_status_code == 0:\n results[cmd] = timed_cmd('{}'.format(cmd))\n last_status_code = results[cmd].get('return_code', 0)\n elapsed = (datetime.utcnow() - dt).total_seconds()\n results['_summary']['elapsed'] = elapsed\n if output_log:\n if not os.path.isdir('log'):\n os.makedirs('log')\n if not os.path.isdir('log/{}'.format(str(stage))):\n os.makedirs('log/{}'.format(str(stage)))\n with open('log/{}/{}.json'.format(str(stage), log_id), 'w') as f:\n f.write(json.dumps(results))\n if results:\n log.info('')\n log.info(' started - cmd - elapsed')\n for k, v in results.items():\n log.info('{} - {} - {} seconds'.format(v.get('start'), k, v.get('elapsed')))","def __init__(self, testing=False):\n self.write_role = conf.db.write_role\n self.conn = psy.connect(\n database=conf.db.db_name,\n user=conf.db.user,\n password=conf.db.pw,\n host=conf.db.host,\n port=conf.db.port,\n )\n self.testing = testing\n #TODO: update the schemas to include annotation tables\n self.schemas = {\"raw\":\n {\"cameras\":\n ((\n \"id\",\n \"site_name\",\n \"object_id\",\n \"cctv_id\",\n \"location\",\n \"kota\",\n \"kota_en\",\n \"kecamatan\",\n \"kelurahan\",\n \"versi\",\n \"lattitude\",\n \"longitude\",\n \"url\",\n \"fps\",\n \"height\",\n \"width\"\n ),\n (\n \"uuid\",\n \"varchar(64)\",\n \"integer\",\n \"integer\",\n \"varchar(64)\",\n \"varchar(32)\",\n \"varchar(32)\",\n \"varchar(32)\",\n \"varchar(32)\",\n \"varchar(16)\",\n \"float\",\n \"float\",\n \"varchar(128)\",\n \"integer\",\n \"integer\",\n \"integer\"\n )),\n \"video_metadata\":\n ((\n \"id\",\n \"file_md5_chunk_7mb\",\n \"file_name\",\n \"camera_id\",\n \"time_start_subtitles\",\n \"time_end_subtitles\",\n \"file_location\",\n \"file_path\"\n ),\n (\n \"uuid\",\n \"varchar(32)\",\n \"varchar(256)\",\n \"uuid\",\n \"varchar(32)\",\n \"varchar(32)\",\n \"varchar(8)\",\n \"varchar(256)\"\n )),\n \"subtitles\":\n ((\n \"video_id\",\n \"subtitle_number\",\n \"display_time_start\",\n \"display_time_end\",\n \"subtitle_text\"\n ),\n (\n \"uuid\",\n \"integer\",\n \"varchar(16)\",\n \"varchar(16)\",\n \"varchar(32)\"\n )),\n \"packet_stats\":\n ((\n \"video_id\",\n \"pts_time\",\n \"dts_time\",\n \"size\",\n \"pos\",\n \"flags\"\n ),\n (\n \"uuid\",\n \"varchar(16)\",\n \"varchar(16)\",\n \"varchar(16)\",\n \"varchar(16)\",\n \"varchar(16)\"\n )),\n \"frame_stats\":\n ((\n \"video_id\",\n \"key_frame\",\n \"pkt_pts_time\",\n \"pkt_dts_time\",\n \"best_effort_timestamp_time\",\n \"pkt_size\",\n \"pict_type\",\n \"coded_picture_number\",\n ),\n (\n \"uuid\",\n \"varchar(16)\",\n \"varchar(16)\",\n \"varchar(16)\",\n \"varchar(16)\",\n \"integer\",\n \"char(1)\",\n \"integer\"\n ))\n },\n \"main\": {\n \"db_failures\":\n ((\n \"time\",\n \"description\"\n ),\n (\n \"varchar(32)\",\n \"json\"\n ))\n },\n \"results\": {\n \"models\":\n ((\n \"model_number\",\n \"pipeline_config\",\n \"datetime_created\",\n ),(\n \"integer\",\n \"json\",\n \"timestamp NULL DEFAULT Now()\",\n )),\n \"box_motion\":\n ((\n \"model_number\",\n \"video_id\",\n \"video_file_name\",\n \"frame_number\",\n \"mean_x\",\n \"mean_y\",\n \"mean_delta_x\",\n \"mean_delta_y\",\n \"magnitude\",\n \"angle_from_vertical\",\n \"box_id\",\n \"datetime_created\",\n ),(\n \"integer\",\n \"uuid\",\n \"varchar(256)\",\n \"integer\",\n \"double precision\",\n \"double precision\",\n \"double precision\",\n \"double precision\",\n \"double precision\",\n \"double precision\",\n \"integer\",\n \"timestamp NULL DEFAULT Now()\",\n )),\n \"boxes\":\n ((\n \"model_number\",\n \"video_id\",\n \"video_file_name\",\n \"frame_number\",\n \"xtl\",\n \"ytl\",\n \"xbr\",\n \"ybr\",\n \"objectness\",\n \"pedestrian\",\n \"bicycle\",\n \"car\",\n \"motorbike\",\n \"bus\",\n \"train\",\n \"truck\",\n \"semantic_segment_bottom_edge_mode\",\n \"box_id\",\n \"datetime_created\",\n ),\n (\n \"integer\",\n \"uuid\",\n \"varchar(256)\",\n \"int4\",\n \"float8\",\n \"float8\",\n \"float8\",\n \"float8\",\n \"float8\",\n \"float8\",\n \"float8\",\n \"float8\",\n \"float8\",\n \"float8\",\n \"float8\",\n \"float8\",\n \"varchar(32)\",\n \"integer\",\n \"timestamp NULL DEFAULT Now()\",\n )),\n \"frame_stats\":\n ((\n \"model_number\",\n \"video_id\",\n \"video_file_name\",\n \"frame_number\",\n \"pedestrian_counts\",\n \"bicycle_counts\",\n \"car_counts\",\n \"motorbike_counts\",\n \"bus_counts\",\n \"train_counts\",\n \"truck_counts\",\n \"pedestrian_sums\",\n \"bicycle_sums\",\n \"car_sums\",\n \"motorbike_sums\",\n \"bus_sums\",\n \"train_sums\",\n \"truck_sums\",\n \"datetime_created\",\n ),\n (\n \"integer\",\n \"uuid\",\n \"varchar(256)\",\n \"integer\",\n \"double precision\",\n \"double precision\",\n \"double precision\",\n \"double precision\",\n \"double precision\",\n \"double precision\",\n \"double precision\",\n \"double precision\",\n \"double precision\",\n \"double precision\",\n \"double precision\",\n \"double precision\",\n \"double precision\",\n \"double precision\",\n \"timestamp NULL DEFAULT Now()\",\n ))\n }\n }","def main():\n cli = CommandLineInterface(NAME, package=\"nemo_nowcast\", description=__doc__)\n cli.build_parser()\n parsed_args = cli.parser.parse_args()\n config = Config()\n config.load(parsed_args.config_file)\n msg = _configure_logging(config)\n logger.info(f\"running in process {os.getpid()}\")\n logger.info(f\"read config from {config.file}\")\n logger.info(msg)\n run(config)","def setup_stream_listener(self):\n listener = Listener()\n listener.set_callback(self.mq.producer.publish)\n self.stream = tweepy.Stream(\n self.config.get('twitter', 'userid'),\n self.config.get('twitter', 'password'),\n listener,\n timeout=3600\n )","def main():\n\tif not len(sys.argv) in (3, 4):\n\t\tprint \"usage: nowplaying \\\"Interpreter\\\" \\\"Title\\\" [\\\"link\\\"]\"\n\t\tsys.exit(1)\n\tinterpreter = sys.argv[1]\n\ttitle = sys.argv[2]\n\tif len(sys.argv) == 4:\n\t\tlink = sys.argv[3]\n\telse:\n\t\tlink = None\n\t\n\tclient = NowPlayingClient(APIKEY)\n\tret = client.sendTrack(interpreter, title, link)\n\tif ret == \"Done.\\n\":\n\t\tsys.exit(0)\n\telse:\n\t\t# some debugging\n\t\tprint \"ERROR!\\nServer response below:\\n\\n--BEGIN SERVER RESPONSE--\"\n\t\tprint ret\n\t\tprint \"--END SERVER RESPONSE--\"\n\t\tsys.exit(1)","def __init__(self, bayesdb_host='127.0.0.1', bayesdb_port=8008):\n self.hostname = bayesdb_host\n self.port = bayesdb_port\n self.URI = 'http://' + self.hostname + ':%d' % self.port\n self.call_id = 0\n print(\"NOTES:\")\n print(\"- Currently does not support interactive queries, thus all y/n prompts will be\\n\"\n \"ignored. *Do not press return unless you mean it.*\")\n print(\"- The client will not notify you when asynchronous ANALYZE commands have completed.\")","def main():\n client = axiothea_client.Client()\n server = axiothea_server.Server()\n edge_server = axiothea_server.Server\n edge_client = axiothea_edge.Client\n server.run(client, edge_server, edge_client)","def execute(self):\n return LOGGER.info(f\"{datetime.datetime.now()} - Sending message to Kafka for visualizing\")","def run(self):\n self.sock = self.set_up_socket()\n if self.output_file is None:\n cv2.namedWindow('Video Preview')\n else:\n self.video_writer = cv2.VideoWriter(self.output_file, \n self.output_format, \n self.fps, \n self.output_size\n )\n start_time = time.time()\n self.loop()\n run_time = time.time() - start_time\n self.output_statistics(run_time)\n self.cleanup()","def TweetsRealTime(dbname, user, password, table_name, APP_KEY, APP_SECRET, OAUTH_TOKEN, OAUTH_TOKEN_SECRET, loop_gathering = False, search_terms = [\"Happy\"]):\n try:\n \"\"\"Be careful with the following global variables. They are necessary to make this script run from the main function\n This is because Twython streamer does not allow other inputs.\n If you run this script stand-alone you can safely remove the globals and it will still work.\"\"\"\n global con \n con = psycopg2.connect(\"dbname = {} user = {} password = {}\".format(dbname,user,password))\n global cur\n cur = con.cursor()\n global tablename\n tablename = table_name\n print \"Connected\"\n except:\n print \"Database connection error\" \n \n try:\n stream = MyStreamer(APP_KEY, APP_SECRET,OAUTH_TOKEN, OAUTH_TOKEN_SECRET)\n print 'Connecting to twitter: will take a minute'\n except ValueError:\n con.close()\n cur.close()\n print 'Something went wrong while making connection with Twitter: '+str(ValueError)\n\n try:\n stream.statuses.filter(track = search_terms) \n except:\n # Shortcut to restarting the script - if the connection cancels then it gracefully terminates the db lock and establishes a new connection\n cur.close\n con.close \n print \"########### Stream terminated ###########\"\n if loop_gathering != False:\n TweetsRealTime(dbname = dbname,\n user = user,\n password = password,\n table_name = table_name,\n search_terms = search_terms,\n APP_KEY = APP_KEY,\n APP_SECRET = APP_SECRET,\n OAUTH_TOKEN = OAUTH_TOKEN,\n OAUTH_TOKEN_SECRET = OAUTH_TOKEN_SECRET,\n loop_gathering = loop_gathering)","def local_video(**kwargs):\n output_dir = run_video_preprocess(\n video_file=input_video,\n roi_locations=kwargs[\"roi_locations\"],\n preprocess_analysis=kwargs[\"preprocess_analysis\"],\n database=False\n )\n\n run_analysis_pipeline(\n preprocess_analysis=kwargs[\"preprocess_analysis\"],\n json_filepath=output_dir,\n )","def run(argv=None):\n\n parser = argparse.ArgumentParser()\n parser.add_argument(\n '--input_topic', required=True,\n help='Input PubSub topic of the form \"/topics/<PROJECT>/<TOPIC>\".')\n parser.add_argument(\n '--output_table', required=True,\n help=\n ('Output BigQuery table for results specified as: PROJECT:DATASET.TABLE '\n 'or DATASET.TABLE.'))\n known_args, pipeline_args = parser.parse_known_args(argv)\n\n with beam.Pipeline(argv=pipeline_args) as p:\n # Read the pubsub topic into a PCollection.\n lines = ( p | beam.io.ReadStringsFromPubSub(known_args.input_topic)\n | beam.Map(parse_pubsub)\n | beam.Map(lambda (mac_bq, status_bq, datetime_bq): {'mac': mac_bq, 'status': status_bq, 'datetime': datetime_bq})\n | beam.io.WriteToBigQuery(\n known_args.output_table,\n schema=' mac:STRING, status:INTEGER, datetime:TIMESTAMP',\n create_disposition=beam.io.BigQueryDisposition.CREATE_IF_NEEDED,\n write_disposition=beam.io.BigQueryDisposition.WRITE_APPEND)\n )","def __init__(self, config, *args, **kwargs):\r\n super(RivaASRService, self).__init__(config, *args, **kwargs)\r\n \r\n self.config.setdefault('server', 'localhost:50051')\r\n self.config.setdefault('sample_rate', 16000)\r\n self.config.setdefault('frame_length', 1.0)\r\n self.config.setdefault('request_timeout', 2.0) # how long to wait for new audio to come in\r\n self.config.setdefault('response_timeout', 0.05) # how long to wait for results from riva\r\n self.config.setdefault('language_code', 'en-US')\r\n self.config.setdefault('enable_automatic_punctuation', True)\r\n self.config.setdefault('top_k', 1)\r\n\r\n logging.info(f'Riva ASR service config:\\n{self.config}')\r\n \r\n self.channel = grpc.insecure_channel(self.config.server)\r\n self.client = rasr_srv.RivaSpeechRecognitionStub(self.channel)\r\n \r\n self.recognition_config = rasr.RecognitionConfig(\r\n encoding = ra.AudioEncoding.LINEAR_PCM,\r\n sample_rate_hertz = self.config.sample_rate,\r\n language_code = self.config.language_code,\r\n max_alternatives = self.config.top_k,\r\n enable_word_time_offsets = True,\r\n enable_automatic_punctuation = self.config.enable_automatic_punctuation\r\n )\r\n\r\n self.streaming_config = rasr.StreamingRecognitionConfig(\r\n config = self.recognition_config,\r\n interim_results = True\r\n )\r\n \r\n self.request_queue = queue.Queue()\r\n self.request_queue.put(rasr.StreamingRecognizeRequest(streaming_config=self.streaming_config))\r\n \r\n self.responses = self.client.StreamingRecognize(self)\r\n self.responses_queue = queue.Queue()\r\n \r\n self.response_thread = threading.Thread(target=self.recieve_responses)\r\n self.response_thread.start()","def parser_config(p):\n p.add_argument('--duration',\n type=float,\n help='The capture duration.')\n p.add_argument('--endpoint_id',\n type=int,\n default=2,\n help='The endpoint identifier.')\n p.add_argument('--threaded', '-t',\n default=0,\n action='count',\n help='Use the threaded wrapper')\n p.add_argument('filename',\n help='The filename for output data.')\n return on_cmd","async def start(\n vast_binary: str,\n vast_endpoint: str,\n zmq_endpoint: str,\n snapshot: int,\n live_match: bool,\n retro_match: bool,\n retro_match_max_events: int,\n retro_match_timeout: float,\n max_open_files: int,\n metrics_interval: int,\n metrics_filename: str,\n transform_cmd: str = None,\n sink: str = None,\n):\n global logger, async_tasks, p2p_topic, max_open_tasks, metrics\n # needs to be created inside the same eventloop where it is used\n max_open_tasks = asyncio.Semaphore(max_open_files)\n vast = VAST(binary=vast_binary, endpoint=vast_endpoint, logger=logger)\n assert await vast.test_connection() is True, \"Cannot connect to VAST\"\n\n logger.debug(f\"Calling Threat Bus management endpoint {zmq_endpoint}\")\n reply = subscribe(zmq_endpoint, \"stix2/indicator\", snapshot)\n if not reply_is_success(reply):\n logger.error(\"Subscription failed\")\n return\n pub_endpoint = reply.get(\"pub_endpoint\", None)\n sub_endpoint = reply.get(\"sub_endpoint\", None)\n topic = reply.get(\"topic\", None)\n if not pub_endpoint or not sub_endpoint or not topic:\n logger.error(\"Subscription failed\")\n return\n logger.info(f\"Subscription successful. New p2p_topic: {topic}\")\n if p2p_topic:\n # The 'start' function is called as result of a restart\n # Unsubscribe the old topic as soon as we get a working connection\n logger.info(\"Cleaning up old p2p_topic subscription ...\")\n unsubscribe(zmq_endpoint, p2p_topic)\n atexit.unregister(unsubscribe)\n p2p_topic = topic\n atexit.register(unsubscribe, zmq_endpoint, topic)\n\n async_tasks.append(\n asyncio.create_task(heartbeat(zmq_endpoint, p2p_topic, interval=5))\n )\n\n indicator_queue = asyncio.Queue()\n sightings_queue = asyncio.Queue()\n async_tasks.append(\n asyncio.create_task(\n report_sightings(sub_endpoint, sightings_queue, transform_cmd, sink)\n )\n )\n\n async_tasks.append(\n asyncio.create_task(receive(pub_endpoint, p2p_topic, indicator_queue))\n )\n\n async_tasks.append(\n asyncio.create_task(\n match_intel(\n vast_binary,\n vast_endpoint,\n indicator_queue,\n sightings_queue,\n live_match,\n retro_match,\n retro_match_max_events,\n retro_match_timeout,\n )\n )\n )\n\n if retro_match:\n # add metrics for retro-matching to the metric output\n metrics += [\n s_retro_matches_per_ioc,\n s_retro_query_time_s_per_ioc,\n g_retro_match_backlog,\n ]\n if live_match:\n # add metrics for live-matching to the metric output\n metrics.append(g_live_matcher_sightings)\n async_tasks.append(\n asyncio.create_task(\n live_match_vast(vast_binary, vast_endpoint, sightings_queue)\n )\n )\n\n if metrics_interval:\n async_tasks.append(\n asyncio.create_task(write_metrics(metrics_interval, metrics_filename))\n )\n\n loop = asyncio.get_event_loop()\n for s in [signal.SIGHUP, signal.SIGTERM, signal.SIGINT]:\n loop.add_signal_handler(s, lambda: asyncio.create_task(stop_signal()))\n return await asyncio.gather(*async_tasks)","def main():\n args = get_args()\n\n levels = [logging.INFO, logging.DEBUG]\n level = levels[min(len(levels) - 1, args.vlevel)]\n logging.basicConfig(level=level)\n\n config.dry_run = args.dry_run\n config.adb_batch_size = args.adb_batch_size\n config.command_batch_size = args.command_batch_size\n \n asyncio.run(run(args))","def main(keywords_file):\n try:\n # prepare credentials for accessing twitter API\n consumer_key = os.environ.get('CONSUMER_KEY')\n consumer_secret = os.environ.get('CONSUMER_SECRET')\n access_token = os.environ.get('ACCESS_TOKEN')\n access_token_secret = os.environ.get('ACCESS_TOKEN_SECRET')\n\n if (consumer_key is None or consumer_secret is None or\n access_token is None or access_token_secret is None):\n raise EnvironmentError('Missing twitter API credentials.')\n api = auth(consumer_key=consumer_key,\n consumer_secret=consumer_secret,\n access_token=access_token,\n access_token_secret=access_token_secret)\n\n db_name = os.environ.get('DB_NAME')\n if db_name is None:\n raise EnvironmentError('Database name is missing in evn file.')\n client = pymongo.MongoClient(host='localhost', port=27017,\n appname=__file__)\n db = client[db_name]\n filepath = os.path.basename(keywords_file)\n input_filename, _ = os.path.splitext(filepath)\n collection = db[input_filename]\n\n twitterStreamListener = TwitterStreamListener(collection=collection)\n twitterStream = tweepy.Stream(auth=api.auth,\n listener=twitterStreamListener)\n\n keywords = read_keywords_file(filename=keywords_file)\n logger.info('Streamer App has started listening for keywords: '\n f'{\", \".join(keywords)}')\n twitterStream.filter(track=keywords, is_async=True)\n except requests.exceptions.HTTPError as e:\n logger.error(\"Checking internet connection failed, \"\n f\"status code {e.response.status_code}\")\n except requests.exceptions.ConnectionError:\n logger.error(\"Could not establish a connection.\")\n except (ValueError, TypeError, TweepError, KeyError,\n EnvironmentError) as e:\n logger.error(e)\n except KeyboardInterrupt:\n logger.info('Program interrupted by user. ')","def __do_analysis(self):\n #Step 1: connect to mongodb and pick a streamer\n dbclient = db_connect.DBClient()\n streamer_data = dbclient.analyze_number_of_stream_viewers(self.streamer)\n streamer_messeges_data = dbclient.analyzeStream(self.streamer)\n\n timearr = []\n messagesarr = []\n streamer_timearr = []\n num_chattersarr = []\n\n #create time and messages array for plotting purposes\n for entry in streamer_messeges_data:\n timearr.append(entry['start_time'])\n messagesarr.append(entry['messeges_count'] * entry['messeges_count'])\n #print(entry['start_time'])\n\n #create time and chatters array for plotting purposes\n for entry in streamer_data:\n streamer_timearr.append(entry['deltatime_from_start_of_clip'])\n num_chattersarr.append(entry['num_viewers'])\n\n # print('start time: ' + str(timearr[0]))\n # print('end time: ' + str(timearr[-1]))\n # print('duration: ' + str(timearr[-1] - timearr[0]))\n # print('average views/min = ' + str(sum(messagesarr) / len(messagesarr)))\n\n average_message_count = sum(messagesarr) / len(messagesarr)\n\n averagearr = []\n plotting_time_arr = []\n labelarr = []\n\n for i in range(len(timearr)):\n averagearr.append(average_message_count*1.8)\n #print(str(timearr[i]) + ' converts to ' + str(datetime.datetime(2020, 1, 1, 0, 0) + timearr[i]))\n plotting_time_arr.append(datetime.datetime(2020, 1, 1, 0, 0) + timearr[i])\n labelarr.append(str(i))\n\n plotting_streamer_timearr = []\n for i in range(len(streamer_timearr)):\n plotting_streamer_timearr.append(datetime.datetime(2020, 1, 1, 0, 0) + streamer_timearr[i])\n\n #plot messages and cuttoff\n messeges_over_time_fig = pyplot.figure(1)\n messeges_over_time_fig.set_figheight(15)\n messeges_over_time_fig.set_figwidth(30)\n messeges_over_time_fig.suptitle(self.streamer + \"'s video data\")\n messeges_over_time_sub = messeges_over_time_fig.add_subplot(211)\n\n pyplot.plot(plotting_time_arr,messagesarr,label='messages/min')\n dots = pyplot.plot(plotting_time_arr,messagesarr,'bo',label='messages/min')\n\n #label dots\n count = 0\n last_entry_was_above_line = False\n for i in range(len(plotting_time_arr)):\n #print(str(count) +': comparing ' + str(messagesarr[i]) + ' with ' + str(averagearr[i]))\n if(messagesarr[i] > averagearr[i]):\n if(last_entry_was_above_line):\n #Don't increment the count because this is part of the same clip\n count = count\n else:\n #new clip above the line, increment clip count\n count = count + 1\n messeges_over_time_sub.annotate(count,xy=(plotting_time_arr[i],messagesarr[i]))\n last_entry_was_above_line = True\n else:\n last_entry_was_above_line = False\n # messeges_over_time_sub.annotate('NA',xy=(plotting_time_arr[i],messagesarr[i]))\n\n #finish plotting\n pyplot.plot(plotting_time_arr, averagearr,'',label='average')\n pyplot.gcf().autofmt_xdate()\n pyplot.ylabel('Messeges*Messeges')\n pyplot.xlabel('Time')\n\n viewers_over_time_sub = messeges_over_time_fig.add_subplot(212)\n\n pyplot.plot(plotting_streamer_timearr,num_chattersarr,label='num chatters')\n pyplot.ylabel('Chatters')\n pyplot.xlabel('Time')\n\n pyplot.tight_layout()\n pyplot.savefig(output_file_location+self.streamer+'.png')\n print('saved chart to ' + output_file_location+self.streamer+'.png')\n # pyplot.show()\n return average_message_count, streamer_messeges_data","async def connect_and_listen(spa_host):\n spa = balboa.BalboaSpaWifi(spa_host)\n await spa.connect()\n\n print(\"Asking for base config\")\n await spa.send_config_req()\n msg = await spa.read_one_message()\n print(\"Got msg: {0}\".format(msg.hex()))\n (mac, pump_array, light_array) = spa.parse_config_resp(msg)\n print(\"Mac Addr: \" + mac)\n print(\"Pump Array: {0}\".format(str(pump_array)))\n print(\"Light Array: {0}\".format(str(light_array)))\n\n print(\"Asking for panel config\")\n await spa.send_panel_req(0, 1)\n msg = await spa.read_one_message()\n print(\"Got msg: {0}\".format(msg.hex()))\n spa.parse_panel_config_resp(msg)\n if spa.config_loaded:\n print('Pump Array: {0}'.format(str(spa.pump_array)))\n print('Light Array: {0}'.format(str(spa.light_array)))\n print('Aux Array: {0}'.format(str(spa.aux_array)))\n print('Circulation Pump: {0}'.format(spa.circ_pump))\n print('Blower: {0}'.format(spa.blower))\n print('Mister: {0}'.format(spa.mister))\n else:\n print('Config not loaded, something is wrong!')\n return 1\n\n print(\"Sending unknown commands\")\n await spa.send_panel_req(2, 0)\n msg = await spa.read_one_message()\n print(\"Got msg: {0}\".format(msg.hex()))\n spa.parse_noclue1(msg)\n print('Model: {0}'.format(spa.model_name))\n print('Software Version: {0}'.format(spa.sw_vers))\n print('Configuration Signature: {0}'.format(spa.cfg_sig))\n print('Setup Mode: {0}'.format(str(spa.setup)))\n print('Software Version ID: {0}'.format(spa.ssid))\n\n await spa.send_panel_req(4, 0)\n for i in range(0, 4):\n msg = await spa.read_one_message()\n print(\"Got msg: {0}\".format(msg.hex()))\n print(\"Please add this section to issue:\")\n print(\"https://github.com/garbled1/pybalboa/issues/1\")\n\n await spa.disconnect()\n return 0","def main():\n utils.vip_main(peakShaverAgent, \n version=__version__)","def process_video(proc_state):\n entry = proc_state.entry\n workbench = proc_state.workbench\n video_config = mgg.global_config['media_type:mediagoblin.media_types.video']\n\n queued_filepath = entry.queued_media_file\n queued_filename = proc_state.get_queued_filename()\n name_builder = FilenameBuilder(queued_filename)\n\n medium_filepath = create_pub_filepath(\n entry, name_builder.fill('{basename}-640p.webm'))\n\n thumbnail_filepath = create_pub_filepath(\n entry, name_builder.fill('{basename}.thumbnail.jpg'))\n\n # Create a temporary file for the video destination (cleaned up with workbench)\n tmp_dst = NamedTemporaryFile(dir=workbench.dir, delete=False)\n with tmp_dst:\n # Transcode queued file to a VP8/vorbis file that fits in a 640x640 square\n progress_callback = ProgressCallback(entry)\n\n dimensions = (\n mgg.global_config['media:medium']['max_width'],\n mgg.global_config['media:medium']['max_height'])\n\n # Extract metadata and keep a record of it\n metadata = transcoders.VideoTranscoder().discover(queued_filename)\n store_metadata(entry, metadata)\n\n # Figure out whether or not we need to transcode this video or\n # if we can skip it\n if skip_transcode(metadata):\n _log.debug('Skipping transcoding')\n\n dst_dimensions = metadata['videowidth'], metadata['videoheight']\n\n # Push original file to public storage\n _log.debug('Saving original...')\n proc_state.copy_original(queued_filepath[-1])\n\n did_transcode = False\n else:\n transcoder = transcoders.VideoTranscoder()\n\n transcoder.transcode(queued_filename, tmp_dst.name,\n vp8_quality=video_config['vp8_quality'],\n vp8_threads=video_config['vp8_threads'],\n vorbis_quality=video_config['vorbis_quality'],\n progress_callback=progress_callback,\n dimensions=dimensions)\n\n dst_dimensions = transcoder.dst_data.videowidth,\\\n transcoder.dst_data.videoheight\n\n # Push transcoded video to public storage\n _log.debug('Saving medium...')\n mgg.public_store.copy_local_to_storage(tmp_dst.name, medium_filepath)\n _log.debug('Saved medium')\n\n entry.media_files['webm_640'] = medium_filepath\n\n did_transcode = True\n\n # Save the width and height of the transcoded video\n entry.media_data_init(\n width=dst_dimensions[0],\n height=dst_dimensions[1])\n\n # Temporary file for the video thumbnail (cleaned up with workbench)\n tmp_thumb = NamedTemporaryFile(dir=workbench.dir, suffix='.jpg', delete=False)\n\n with tmp_thumb:\n # Create a thumbnail.jpg that fits in a 180x180 square\n transcoders.VideoThumbnailerMarkII(\n queued_filename,\n tmp_thumb.name,\n 180)\n\n # Push the thumbnail to public storage\n _log.debug('Saving thumbnail...')\n mgg.public_store.copy_local_to_storage(tmp_thumb.name, thumbnail_filepath)\n entry.media_files['thumb'] = thumbnail_filepath\n\n # save the original... but only if we did a transcoding\n # (if we skipped transcoding and just kept the original anyway as the main\n # media, then why would we save the original twice?)\n if video_config['keep_original'] and did_transcode:\n # Push original file to public storage\n _log.debug('Saving original...')\n proc_state.copy_original(queued_filepath[-1])\n\n # Remove queued media file from storage and database\n proc_state.delete_queue_file()","def media_to_chromecast_command(\n media=None,\n type=\"LOAD\", # pylint: disable=redefined-builtin\n requestId=1,\n offset=0,\n directPlay=True,\n directStream=True,\n subtitleSize=100,\n audioBoost=100,\n transcoderVideo=True,\n transcoderVideoRemuxOnly=False,\n transcoderAudio=True,\n isVerifiedHostname=True,\n contentType=\"video\",\n myPlexSubscription=True,\n contentId=None,\n streamType=STREAM_TYPE_BUFFERED,\n port=32400,\n protocol=\"http\",\n address=None,\n username=None,\n autoplay=True,\n currentTime=0,\n playQueue=None,\n playQueueID=None,\n startItem=None,\n version=\"1.10.1.4602\",\n **kwargs,\n): # pylint: disable=invalid-name, too-many-locals, protected-access\n\n if media is not None:\n # Lets set some params for the user if they use plexapi.\n server = media[0]._server if isinstance(media, list) else media._server\n server_url = urlparse(server._baseurl)\n protocol = server_url.scheme\n address = server_url.hostname\n port = server_url.port\n machineIdentifier = server.machineIdentifier\n token = server._token\n username = server.myPlexUsername\n myPlexSubscription = server.myPlexSubscription\n\n if getattr(media, \"TYPE\", None) == \"playqueue\":\n if startItem:\n media = media.items\n else:\n playQueue = media\n\n if playQueue is None:\n playQueue = server.createPlayQueue(media, startItem=startItem)\n\n playQueueID = playQueue.playQueueID\n contentId = playQueue.selectedItem.key\n contentType = playQueue.items[0].listType\n version = server.version\n\n # Chromecasts seem to start playback 5 seconds before the offset.\n if offset != 0:\n currentTime = offset\n\n msg = {\n \"type\": type,\n \"requestId\": requestId,\n \"media\": {\n \"contentId\": contentId,\n \"streamType\": streamType,\n \"contentType\": contentType,\n \"customData\": {\n \"offset\": offset,\n \"directPlay\": directPlay,\n \"directStream\": directStream,\n \"subtitleSize\": subtitleSize,\n \"audioBoost\": audioBoost,\n \"server\": {\n \"machineIdentifier\": machineIdentifier,\n \"transcoderVideo\": transcoderVideo,\n \"transcoderVideoRemuxOnly\": transcoderVideoRemuxOnly,\n \"transcoderAudio\": transcoderAudio,\n \"version\": version,\n \"myPlexSubscription\": myPlexSubscription,\n \"isVerifiedHostname\": isVerifiedHostname,\n \"protocol\": protocol,\n \"address\": address,\n \"port\": port,\n \"accessToken\": token,\n \"user\": {\"username\": username},\n },\n \"containerKey\": f\"/playQueues/{playQueueID}?own=1&window=200\",\n },\n \"autoplay\": autoplay,\n \"currentTime\": currentTime,\n \"activeTrackIds\": None,\n },\n }\n\n # Allow passing of kwargs to the dict.\n msg.update(kwargs)\n\n return msg","def main():\n client = mqtt.Client('kj-relayr') # Create client. The parameter is our client-id\n\n # Callback is attached by assigning it to on_message attribute of client.\n # From now on our on_message function will\n client.on_message = on_message\n\n # Connect to the broker - we pass host and port (port is optional).\n client.connect(BROKER_HOST, BROKER_PORT)\n\n # Start the network loop. Without that the client won't be able to receive messages.\n # Internally it starts separate thread of execution in which all the incoming messages\n # are processed.\n client.loop_start()\n\n # Subscribe to relayr/test topic\n result, mid = client.subscribe('relayr/test')\n\n # Methods that publish/subscribe return result (status code) indicating if operation succeeded (result=0) or not\n # as well as message id. This message id can be used for tracking purposes.\n print(f'Result: {result}, message_id: {mid}')\n\n # Publish message to the same topic\n client.publish('relayr/test', 'test message')\n\n # It takes nonzero time before broker receives message and propagates it to subscribed clients.\n # Therefore we artificially stop execution for a second for it to happen. During this time,\n # our client should receive the message and we should see it printed to stdout.\n time.sleep(1)\n\n # Disconnect from the broker.\n client.disconnect()\n\n # Stop the event loop. This will shut the background thread down.\n client.loop_stop()","def main(base_url, pact_url, pact_urls, states_url,\n states_setup_url, username, password, timeout, provider_app_version,\n publish_verification_results): # NOQA\n error = click.style('Error:', fg='red')\n warning = click.style('Warning:', fg='yellow')\n all_pact_urls = list(pact_url)\n for urls in pact_urls: # Remove in major version 1.0.0\n all_pact_urls.extend(p for p in urls.split(',') if p)\n\n if len(pact_urls) > 1:\n click.echo(\n warning\n + ' Multiple --pact-urls arguments are deprecated. '\n 'Please provide a comma separated list of pacts to --pact-urls, '\n 'or multiple --pact-url arguments.')\n\n if not all_pact_urls:\n click.echo(\n error\n + ' At least one of --pact-url or --pact-urls is required.')\n raise click.Abort()\n\n missing_files = [path for path in all_pact_urls if not path_exists(path)]\n if missing_files:\n click.echo(\n error\n + ' The following Pact files could not be found:\\n'\n + '\\n'.join(missing_files))\n raise click.Abort()\n\n options = {\n '--provider-base-url': base_url,\n '--pact-urls': ','.join(all_pact_urls),\n '--provider-states-setup-url': states_setup_url,\n '--broker-username': username,\n '--broker-password': password\n }\n command = [VERIFIER_PATH] + [\n '{}={}'.format(k, v) for k, v in options.items() if v]\n if publish_verification_results:\n if not provider_app_version:\n click.echo(\n error\n + 'Provider application version is required '\n + 'to publish verification results to broker'\n )\n raise click.Abort()\n command.extend([\"--provider-app-version\",\n provider_app_version,\n \"--publish-verification-results\"])\n p = subprocess.Popen(command)\n p.communicate(timeout=timeout)\n sys.exit(p.returncode)","def run(approot, instance):\n tm_env = appenv.AppEnvironment(approot)\n publisher = endpoints.EndpointPublisher(tm_env.endpoints_dir,\n context.GLOBAL.zk.conn,\n instance=instance)\n publisher.run()","def run(self):\n for index, playlist_line in enumerate(self.playlist):\n gv.logger.info(\"New video\")\n self.index = index\n self.video_command = playlist_line.strip(\" \")\n gv.logger.info(self.video_command)\n if gv.api_dm.probe_status == \"killed\":\n gv.logger.info(\"Exiting playlist\")\n break\n self.launch_video_process()\n gv.logger.info(\"Finished video\")\n self.finish_playlist()","def main():\n my_painting_mqtt_client = MyPaintingMQTTClient()\n my_painting_mqtt_client.run_app()","def Stream():\r\n \r\n config = config_create()\r\n CONSUMER_KEY = config.get('Auth', 'CONSUMER_KEY') \r\n CONSUMER_SECRET = config.get('Auth', 'CONSUMER_SECRET')\r\n ACCESS_KEY = config.get('Auth', 'ACCESS_KEY')\r\n ACCESS_SECRET = config.get('Auth', 'ACCESS_SECRET')\r\n searchterm = config.get('Filter','search')\r\n name = multiprocessing.current_process().name\r\n \"\"\"Function that will manage doing the twitter stream\"\"\"\r\n stream = MyStreamer(CONSUMER_KEY, CONSUMER_SECRET, ACCESS_KEY, ACCESS_SECRET)\r\n stream.statuses.filter(track= searchterm)","def camera(ctx, cam_id, analytic_addr, width, height):\n if not analytic_addr:\n analytic_addr = [\"localhost:50051\"]\n db = ctx.obj.db\n client = aceclient.AnalyticMultiClient()\n cap = cv2.VideoCapture(int(cam_id))\n cap.set(cv2.CAP_PROP_FRAME_WIDTH, int(width))\n cap.set(cv2.CAP_PROP_FRAME_HEIGHT, int(height))\n classes = {}\n window_names = []\n f_req = analytic_pb2.FrameRequest()\n for a in analytic_addr:\n analytic = analytic_pb2.AnalyticData()\n analytic.addr = a\n f_req.analytics.append(analytic)\n try:\n while cap.isOpened():\n ret, frame = cap.read()\n if not ret:\n print(\"Stream unavailable. Exiting.\")\n break\n resp = analytic_pb2.CompositeResults()\n resp = client.process_frame(frame, f_req, resp)\n print(len(window_names))\n render(resp, window_names, classes, frame, db)\n finally:\n cv2.destroyAllWindows()\n print(\"Shutting down\")","def run(config_path, pipeline_config_path=None):\n clip_config = ModuleConfig.from_json(config_path)\n etam.setup(clip_config, pipeline_config_path=pipeline_config_path)\n _clip_videos(clip_config)","def test_runner_large_file(caplog, replay_rate):\n\n caplog.set_level(logging.INFO)\n\n path = 'test_data/test_data.parquet'\n time_column = 'requesttimestamp'\n start_date = datetime.datetime(2020, 7, 10, 0, 1, 0)\n end_date = datetime.datetime(2020, 7, 10, 0, 3, 0)\n replay_rate = replay_rate\n bootstrap_servers = 'kafka:9092'\n topic = 'test_stream_2'\n\n logging.debug(\"starting\")\n\n fileconnector = ParquetFileConnector(path=path, time_column=time_column, \n start_date=start_date, end_date=end_date)\n\n fileconnector.startup_checks()\n\n publisher = KafkaPublisher(\n bootstrap_servers=bootstrap_servers,\n topic=topic\n )\n\n runner = CentralRunner(db_connection=fileconnector, \n output_system=publisher, \n start_time=start_date, \n end_time=end_date,\n replay_rate=replay_rate )\n\n start = time.perf_counter()\n \n runner.run()\n\n #publisher.close()\n\n end = time.perf_counter()\n\n code_time = end - start\n\n period_duration = (end_date - datetime.timedelta(seconds=replay_rate) - start_date).total_seconds()\n\n assert abs(code_time - period_duration/replay_rate) < 1\n #assert int(code_time) == (end_date - start_date).total_seconds() * replay_rate","def run(args):\n pub_command = []\n sub_command = []\n\n script_dir = os.path.dirname(os.path.realpath(__file__))\n\n if not os.path.isfile(args.pub):\n print(f'Publisher executable file does not exists: {args.pub}')\n sys.exit(1)\n\n if not os.access(args.pub, os.X_OK):\n print(\n 'Publisher executable does not have execution permissions:'\n f'{args.pub}')\n\n pub_command.append(args.pub)\n\n if not os.path.isfile(args.sub):\n print(f'Subscriber executable file does not exists: {args.sub}')\n sys.exit(1)\n\n if not os.access(args.sub, os.X_OK):\n print(\n 'Subscriber executable does not have execution permissions:'\n f'{args.sub}')\n sys.exit(1)\n\n sub_command.append(args.sub)\n\n if args.xml_pub and args.xml_sub:\n if args.xml_pub:\n xml_file_pub = os.path.join(script_dir, args.xml_pub)\n if args.xml_sub:\n xml_file_sub = os.path.join(script_dir, args.xml_sub)\n else:\n print('Not provided xml configuration files.')\n sys.exit(1)\n\n pub_command.extend(['--xmlfile', xml_file_pub])\n sub_command.extend(['--xmlfile', xml_file_sub])\n\n pub_command.extend(['--seed', str(os.getpid())])\n sub_command.extend(['--seed', str(os.getpid())])\n\n if args.wait:\n pub_command.extend(['--wait', str(args.wait)])\n\n if args.samples:\n pub_command.extend(['--samples', str(args.samples)])\n sub_command.extend(['--samples', str(args.samples)])\n\n if len(args.servers) != len(args.xml_servers):\n print(\n 'Number of servers arguments should be equal to the number of xmls provided.')\n sys.exit(1)\n\n ds_procs = []\n for i in range(0, len(args.servers)):\n server_cmd = []\n\n if not os.path.isfile(args.servers[i]):\n print(f'Discovery server executable file does not exists: {args.servers[i]}')\n sys.exit(1)\n\n if not os.access(args.servers[i], os.X_OK):\n print(\n 'Discovery server executable does not have execution permissions:'\n f'{args.servers[i]}')\n sys.exit(1)\n\n server_cmd.append(args.servers[i])\n server_cmd.extend(['--xml-file', args.xml_servers[i]])\n server_cmd.extend(['--server-id', str(i)])\n\n ds_proc = subprocess.Popen(server_cmd)\n print(\n 'Running Discovery Server - commmand: ',\n ' '.join(map(str, server_cmd)))\n\n ds_procs.append(ds_proc)\n\n sub_proc = subprocess.Popen(sub_command)\n print(\n f'Running Subscriber - commmand: ',\n ' '.join(map(str, sub_command)))\n\n pub_proc = subprocess.Popen(pub_command)\n print(\n 'Running Publisher - commmand: ',\n ' '.join(map(str, pub_command)))\n\n try:\n outs, errs = sub_proc.communicate(timeout=15)\n except subprocess.TimeoutExpired:\n print('Subscriber process timed out, terminating...')\n sub_proc.kill()\n pub_proc.kill()\n [ds_proc.kill() for ds_proc in ds_procs]\n try:\n sys.exit(os.EX_SOFTWARE)\n except AttributeError:\n sys.exit(1)\n\n\n pub_proc.kill()\n ds_proc.kill()\n [ds_proc.kill() for ds_proc in ds_procs]\n try:\n sys.exit(os.EX_OK)\n except AttributeError:\n sys.exit(0)","def __init__(__self__, *,\n access_control: Optional[pulumi.Input['LiveEventPreviewAccessControlArgs']] = None,\n alternative_media_id: Optional[pulumi.Input[str]] = None,\n endpoints: Optional[pulumi.Input[Sequence[pulumi.Input['LiveEventEndpointArgs']]]] = None,\n preview_locator: Optional[pulumi.Input[str]] = None,\n streaming_policy_name: Optional[pulumi.Input[str]] = None):\n if access_control is not None:\n pulumi.set(__self__, \"access_control\", access_control)\n if alternative_media_id is not None:\n pulumi.set(__self__, \"alternative_media_id\", alternative_media_id)\n if endpoints is not None:\n pulumi.set(__self__, \"endpoints\", endpoints)\n if preview_locator is not None:\n pulumi.set(__self__, \"preview_locator\", preview_locator)\n if streaming_policy_name is not None:\n pulumi.set(__self__, \"streaming_policy_name\", streaming_policy_name)","def __init__(self, video_vis, task_queue, result_queue):\n self.video_vis = video_vis\n self.task_queue = task_queue\n self.result_queue = result_queue\n super().__init__()","def send_tweet_with_video(tweet_text, filename, uuid):\n try:\n query = {} # API call to twitter-service\n query['app_name'] = 'webcamd'\n query['uuid'] = uuid\n query['tweet_text'] = tweet_text\n query['hashtag_arg'] = 'metminiwx' # do not supply the #\n query['lat'] = 51.4151 # Stockcross\n query['lon'] = -1.3776 # Stockcross\n query['video_pathname'] = filename\n\n status_code, response_dict = cumulus_comms.call_rest_api(get_env.get_twitter_service_endpoint() + '/send_video', query)\n\n # print('status_code=' + status_code.__str__())\n # pprint(response_dict)\n # if response_dict['status'] == 'OK' and response_dict['tweet_sent'] == True:\n if response_dict['status'] == 'OK' :\n tweet_len = response_dict['tweet_len'].__str__()\n print('Tweet sent OK, tweet_len=' + tweet_len + ', uuid=' + uuid.__str__())\n else:\n print(response_dict['status'])\n\n except Exception as e:\n print('Error : send_tweet_with_video() : ' + e.__str__())","def handle_message(self, data):\r\n print data\r\n\r\n #video stream starts\r\n if data[:13] == 'video_stream:':\r\n #port will be between 3000 to 7000\r\n port = int(data[13:17])\r\n self.partnum = int(data[18:])\r\n\r\n #creates a video file in cache\r\n if not exists(CASHE + movie_name + '\\\\'):\r\n makedirs(CASHE + movie_name + '\\\\')\r\n\r\n self.receive = Receiver(port, self.partnum, CASHE + movie_name + '\\\\')\r\n self.receive.start()\r\n\r\n #upload stream approved\r\n elif data[:16] == 'upload_approved:':\r\n port = int(data[16:])\r\n self.uploader = Uploader(port, upload_path)\r\n self.uploader.start()\r\n self.upload_num = 1\r\n\r\n elif data[:6] == 'parts:':\r\n if data[6:].isdigit():\r\n self.partnum = int(data[6:])\r\n\r\n elif data[:8] == 'invalid:':\r\n self.uploader = None\r\n if data[8:] == 'hash':\r\n self.upload_num = 2\r\n else:\r\n self.upload_num = 3\r\n\r\n print 'invalid upload'\r\n\r\n elif data == 'vid_not_found':\r\n self.partnum = -1\r\n print 'could not watch vid'\r\n\r\n elif data[:8] == 'results:':\r\n results = data[8:].split(':<!>:')\r\n self.res_list = [['Movie Name', 'views', 'grade']]\r\n for i in results:\r\n datas = i.split(':!:')\r\n self.res_list.append(datas)\r\n self.print_results = True\r\n '''if results == ['']:\r\n self.print_results = False\r\n else:\r\n self.print_results = True'''","def parse_results(rss_results, website, lang, db_collection):\n\n #global kafka, producer\n #global kafkaPool\n #print website\n#===============================================================================\n# if lang == 'english':\n# goose_extractor = Goose({'use_meta_language': False,\n# 'target_language': 'en',\n# 'enable_image_fetching': False})\n# elif lang == 'arabic':\n# from goose.text import StopWordsArabic\n# \n# goose_extractor = Goose({'stopwords_class': StopWordsArabic,\n# 'enable_image_fetching': False})\n# else:\n# print(lang)\n#===============================================================================\n\n langCode = languageMap.get(lang)\n if langCode is not None:\n newspaper_extractor= NewspaperTextExtractor(language=langCode)\n else:\n print \"ERROR: Extractor for\", lang, \"is not available\";\n \n #producer = KafkaProducer(bootstrap_servers='dmlhdpc1')\n client = SimpleClient('172.29.100.6:9092')\n producer = SimpleProducer(client)\n \n #print \"Parsing Results\"\n for result in rss_results:\n \n page_url = _convert_url(result.url, website)\n print page_url\n in_database = _check_mongo(page_url, db_collection)\n\n if not in_database:\n try:\n text, meta = pages_scrape.scrape(page_url, newspaper_extractor)\n text = text.encode('utf-8')\n #print meta\n except TypeError:\n logger.warning('Problem obtaining text from URL: {}'.format(page_url))\n text = ''\n except UnicodeDecodeError:\n logger.warning('Unicode Decoding Issue in URL: {}'.format(page_url))\n text = ''\n else:\n logger.debug('Result from {} already in database'.format(page_url))\n text = ''\n\n if text:\n #print \"Adding Document\"\n cleaned_text = _clean_text(text, website)\n\n entry_id = mongo_connection.add_entry(db_collection, cleaned_text,\n result.title, result.url,\n result.date, website, lang)\n \n jsonData = {\"url\": result.url,\n \"title\": result.title,\n \"source\": website,\n \"date\": result.date,\n \"date_added\": datetime.datetime.utcnow(),\n \"content\": cleaned_text,\n \"stanford\": 0,\n \"language\": lang,\n \"processed\": \"False\",\n \"mongo_id\": str(entry_id),\n \"type\": \"story\"}\n doc = convert_to_SGML(jsonData)\n# print \"#######TEST\"\n# located_keys = locateKeyWords(cleaned_text, keywords)\n# print located_keys\n# located_discards = locateKeyWords(cleaned_text, discard_list)\n# print located_discards\n# # kafkaMessenger = kafkaPool.take()\n# print \"TAKEN\"\n# kafkaMessenger.send(doc.encode('utf-8'))\n# kafkaPool.give_back(kafkaMessenger)\n producer.send_messages(\"test\", str(entry_id)+\"#\"+doc.encode('utf-8'))\n #print \"Message Sent\"\n #producer.send_messages('test', doc.encode(\"utf-8\"))\n\n# #====================\n# doc_file = open(\"Output/\" + str(entry_id) + \".txt\", \"w\")\n# doc_file.write(doc.encode(\"utf-8\"))\n# doc_file.flush()\n# doc_file.close()\n# #====================`\n if entry_id:\n try:\n logger.info('Added entry from {} with id {}'.format(page_url,\n entry_id))\n except UnicodeDecodeError:\n logger.info('Added entry from {}. Unicode error for id'.format(result.url))\n\n client.close()","def main() -> None:\r\n parser = argparse.ArgumentParser(description='Recommender Room',\r\n prefix_chars='-')\r\n \r\n parser.add_argument('-v', '--verbose', required=False, action='store_true',\r\n help='display additional information to the terminal')\r\n \r\n parser.add_argument('-o', '--host', required=False, default=rec.HOST,\r\n help='select hostname or IP address for the web application')\r\n \r\n parser.add_argument('-p', '--port', type=int, required=False, default=rec.PORT,\r\n help='select port for the web application')\r\n \r\n parser.add_argument('-cfg', '--configuration', dest='config', required=False,\r\n choices=CONFIG_CHOICES, default='debug', \r\n help='set the appropriate configuration settings for the web application')\r\n \r\n args = parser.parse_args() \r\n rec_api.start_server(args)"],"string":"[\n \"def video(ctx, video_file, analytic_addr):\\n if not analytic_addr:\\n analytic_addr = [\\\"localhost:50051\\\"]\\n db = ctx.obj.db\\n client = aceclient.AnalyticMultiClient()\\n classes = {}\\n cap = cv2.VideoCapture(video_file)\\n window_names = []\\n f_req = analytic_pb2.FrameRequest()\\n for a in analytic_addr:\\n analytic = analytic_pb2.AnalyticData()\\n analytic.addr = a\\n f_req.analytics.append(analytic)\\n # Load all frames into a queue buffer\\n buf = Queue()\\n while (cap.isOpened()):\\n ret, frame = cap.read()\\n if not ret:\\n break\\n buf.put(frame)\\n try:\\n while not buf.empty():\\n frame = buf.get(block=False)\\n resp = analytic_pb2.CompositeResults()\\n resp = client.process_frame(frame, f_req, resp)\\n render(resp, window_names, classes, frame, db)\\n finally:\\n cv2.destroyAllWindows()\\n print(\\\"Shutting down\\\")\",\n \"def main():\\n \\n \\n # Grab command line args\\n args = build_argparser().parse_args()\\n # Connect to the MQTT server\\n client = connect_mqtt()\\n # Perform inference on the input stream\\n infer_on_stream(args, client)\",\n \"def main():\\n # Grab command line args\\n args = build_argparser().parse_args()\\n #print(args)\\n #Connect to the MQTT server\\n client = connect_mqtt()\\n #Perform inference on the input stream\\n infer_on_stream(args, client)\",\n \"def main():\\n # Grab command line args\\n args = build_argparser().parse_args()\\n #print(\\\"finished argparser\\\")\\n\\n # Connect to the MQTT server\\n client = connect_mqtt()\\n #print(\\\"finished mqtt connect\\\")\\n\\n # Perform inference on the input stream\\n infer_on_stream(args, client)\",\n \"def main():\\n # Grab command line args\\n args = build_argparser().parse_args()\\n # Connect to the MQTT server\\n client = connect_mqtt()\\n # Perform inference on the input stream\\n infer_on_stream(args, client)\",\n \"def main():\\n # Grab command line args\\n args = build_argparser().parse_args()\\n # Connect to the MQTT server\\n client = connect_mqtt()\\n # Perform inference on the input stream\\n infer_on_stream(args, client)\",\n \"def start_gst(self, config=None):\\n\\n if not config:\\n config = \\\\\\n [\\n 'videotestsrc ! decodebin',\\n '! videoconvert ! video/x-raw,format=(string)BGR ! videoconvert',\\n '! appsink'\\n ]\\n\\n command = ' '.join(config)\\n self.video_pipe = Gst.parse_launch(command)\\n self.video_pipe.set_state(Gst.State.PLAYING)\\n self.video_sink = self.video_pipe.get_by_name('appsink0')\",\n \"def __live_video_stream(self, setting: bool):\\n command = 'start' if setting else 'stop'\\n self.__video_status[\\\"in_use\\\"] = setting\\n subprocess.Popen(\\\"sudo docker {} cam\\\".format(command).split(), stdout=subprocess.PIPE)\\n self.communications.add_event(\\\"Live Streaming to YouTube {}ing.\\\".format(command))\",\n \"def analytic(ctx, src, analytic_addr, verbose):\\n\\n client = TestClient(src, analytic_addr=analytic_addr, verbose=False)\\n client.run()\",\n \"def main():\\n\\ttoken = os.getenv(\\\"BOT_TOKEN\\\")\\n\\tapplication = Application.builder().token(token).read_timeout(30).write_timeout(30).build()\\n\\tload_interactions(application)\\n\\tprint(\\\"Simple Media Converter instance started!\\\")\\n\\tapplication.run_polling()\",\n \"def main():\\n opts = docopt(__doc__, version=\\\"cast 0.1\\\")\\n\\n cast = pychromecast.PyChromecast(CHROMECAST_HOST)\\n ramp = cast.get_protocol(pychromecast.PROTOCOL_RAMP)\\n\\n # Wait for ramp connection to be initted.\\n time.sleep(SLEEP_TIME)\\n\\n if ramp is None:\\n print 'Chromecast is not up or current app does not handle RAMP.'\\n return 1\\n\\n if opts['next']:\\n ramp.next()\\n elif opts['pause']:\\n ramp.pause()\\n elif opts['play']:\\n ramp.play()\\n elif opts['toggle']:\\n ramp.playpause()\\n elif opts['seek']:\\n ramp.seek(opts['<second>'])\\n elif opts['rewind']:\\n ramp.rewind()\\n elif opts['status']:\\n _status_command(cast, ramp)\\n elif opts['volume']:\\n _volume_command(ramp, opts['<value>'])\\n\\n # Wait for command to be sent.\\n time.sleep(SLEEP_TIME)\",\n \"def remote_video(**kwargs):\\n # SSH into the Raspberry Pi\\n logging.info(\\\"Conneting to the Raspberry Pi\\\")\\n ssh_client = connect_to_client()\\n\\n # Check the inputs\\n if kwargs[\\\"output_filename\\\"] is None:\\n # TODO: Add nice error classes instead of raising exceptions\\n raise Exception(\\\"Missing an output filename\\\")\\n if kwargs[\\\"destination_filepath\\\"] is None and not kwargs[\\\"database\\\"]:\\n raise Exception(\\\"Missing the filepath to the data destination on local machine\\\")\\n\\n # Add \\\"matrix_decomposition\\\" to the end of the file if necessary\\n if kwargs[\\\"preprocess_analysis\\\"] == \\\"MD\\\":\\n kwargs[\\\"output_filename\\\"] = \\\"_\\\".join([kwargs[\\\"output_filename\\\"], \\\"matrix_decomposition\\\"])\\n \\n if kwargs[\\\"database\\\"]:\\n database = True\\n else:\\n database = False\\n\\n # Create the name of the remote output location\\n remote_output_file = os.path.join(\\n \\\"/home/pi/Desktop\\\",\\n kwargs[\\\"output_filename\\\"] + \\\".h264\\\"\\n )\\n \\n # TODO: Check if the file already exists and delete it if it does\\n\\n # Record the video on the pi\\n video_length = int(kwargs[\\\"video_length\\\"])\\n cmd = f\\\"python3 /home/pi/Desktop/capstone/software/data_stream/rpi_camera_collect.py {remote_output_file} --video_length {video_length}\\\"\\n logging.info(\\\"Launching remote data collection on Raspberry Pi\\\")\\n stdin, stdout, stderr = ssh_client.exec_command(cmd)\\n exit_status = stdout.channel.recv_exit_status() \\n\\n # Check the command exited successfully\\n if exit_status != 0:\\n logging.error(stderr.read())\\n # TODO: Nice error class here\\n raise Exception()\\n \\n # Remotely run preprocess on the data collected by the Raspberry Pi\\n output_dir, batch_ids = run_video_preprocess(\\n video_file=remote_output_file, \\n roi_locations=kwargs[\\\"roi_locations\\\"],\\n preprocess_analysis=kwargs[\\\"preprocess_analysis\\\"],\\n ssh_client=ssh_client,\\n database=database,\\n )\\n\\n if not kwargs[\\\"database\\\"]:\\n base_local_output_filepath = kwargs[\\\"destination_filepath\\\"]\\n local_output_filepath = os.path.join(\\n kwargs[\\\"destination_filepath\\\"], \\n kwargs[\\\"output_filename\\\"]\\n )\\n # TODO: Check if output file already exists on local and delete if it does\\n logging.info(\\\"Copying video file to local machine\\\")\\n # Make the local directory\\n if not os.path.exists(base_local_output_filepath):\\n os.makedirs(base_local_output_filepath)\\n\\n # Rsync the file from the Raspberry Pi to the local\\n cmd = f\\\"rsync -avPL pi@{PI_IP}:{output_dir} {base_local_output_filepath}\\\"\\n subprocess.check_call(cmd, shell=True)\\n # TODO: Check the files were copied correctly (checksum/filesize) before closing the SSH client\\n ssh_client.close()\\n else:\\n local_output_filepath = None\\n\\n # Run the analysis pipeline\\n # TODO: Batch ID not required here? change in run_pipeline.py\\n run_analysis_pipeline(\\n preprocess_analysis=kwargs[\\\"preprocess_analysis\\\"],\\n json_filepath=local_output_filepath,\\n )\",\n \"def main():\\n\\n parser = ArgumentParser()\\n parser.add_argument('--config', '-c', type=str, required=True, help='Path to config file')\\n parser.add_argument('--input', '-i', type=str, required=True, help='Path to video')\\n parser.add_argument('--snapshot_path', '-s', type=str, required=False, default='', help='Path to snapshot')\\n parser.add_argument('--out_scale', type=float, default=1.0, help='Output frame scale')\\n parser.add_argument('--deploy', '-d', action='store_true', help='Execute in deploy mode')\\n args = parser.parse_args()\\n\\n assert exists(args.config)\\n assert exists(args.input)\\n assert exists(args.snapshot_path + '.index')\\n assert args.out_scale > 0.0\\n\\n task_monitor = get_monitor(args.config, snapshot_path=args.snapshot_path)\\n task_monitor.demo(args.input, args.out_scale, args.deploy)\",\n \"def main():\\n # Grab command line args\\n args = build_argparser().parse_args()\\n\\n # Create a logger object\\n Logger('logger', args.log_level)\\n\\n # Connect to the MQTT server\\n client = connect_mqtt()\\n\\n # Perform inference on the input stream\\n infer_on_stream(args, client)\",\n \"def start_streamer(params) -> None:\\n print(\\\"Starting streamer...\\\")\\n time.sleep(5)\\n cmd = \\\"./streamer/fakewebcam.py -c \\\" + params[\\\"config_file\\\"] + \\\" >/dev/null 2>&1\\\"\\n if os.system(cmd) == 0:\\n print(\\\" Success !\\\")\\n else:\\n print(\\\" Failure !\\\")\",\n \"def main():\\n input_video = sys.argv[1]\\n input_audio = sys.argv[2]\\n output_video = sys.argv[3]\\n set_audio(input_video, input_audio, output_video)\",\n \"def setup_pipeline(self):\\n pipeline = \\\"rtspsrc protocols=tcp location={} name=src src. ! \\\"\\\\\\n \\\"application/x-rtp, media=(string)audio\\\"\\\" !\\\"\\\\\\n \\\"decodebin ! audioconvert ! pulsesink src. !\\\"\\\\\\n \\\"application/x-rtp, media=(string)video\\\"\\\" !\\\"\\\\\\n \\\"decodebin ! tee name=t ! queue ! videoconvert !\\\"\\\\\\n \\\"videoscale ! queue ! jpegenc ! \\\"\\\\\\n \\\"appsink name=sink t.! queue ! \\\"\\\\\\n \\\"autovideosink\\\".format(self.url)\\n\\n self.player = Gst.parse_launch(pipeline)\\n bus = self.player.get_bus()\\n bus.enable_sync_message_emission()\\n bus.connect('sync-message::element', self.on_sync_message)\\n bus.add_signal_watch()\\n bus.connect('message', self.on_watch_message)\",\n \"def execute(self):\\n self.advertise_and_connect()\\n self.display_data()\\n self.disconnect()\",\n \"def run():\\n while True:\\n try:\\n active = pacvert.thequeue.getActive()\\n current = pacvert.thequeue.getPending()\\n if (active == None) and (current != None):\\n pacvert.thequeue.addActive(current)\\n active = current\\n\\n try:\\n # setting up codec specific settings\\n video = {'codec': pacvert.CONFIG.DEFAULT_CODEC_VIDEO} # set the targets codec\\n if pacvert.CONFIG.DEFAULT_CODEC_VIDEO_CROP: # check if cropping is enabled\\n video['width'] = active.crop[0] # set width\\n video['height'] = active.crop[1] # set height\\n video['mode'] = 'crop' # set crop mode\\n\\n if pacvert.CONFIG.DEFAULT_CODEC_VIDEO == \\\"h264\\\": # if target codec is h264\\n video['preset'] = pacvert.CONFIG.CODEC_AVC_PRESET # set preset\\n video['profile'] = pacvert.CONFIG.CODEC_AVC_PROFILE # set profile\\n video['quality'] = pacvert.CONFIG.CODEC_AVC_QUALITY # set quality\\n video['tune'] = pacvert.CONFIG.CODEC_AVC_TUNE # set tune\\n if pacvert.CONFIG.CODEC_AVC_AUTOMAXRATE: # if automatic maxrate is enabled\\n if pacvert.CONFIG.CODEC_AVC_BUFSIZE < 0 or pacvert.CONFIG.CODEC_H264_MAXRATE < 0:\\n if 'bit_rate' in active.mediainfo['Video']:\\n video['maxrate'] = cast_to_int(active.mediainfo['Video']['bit_rate']) # set maxrate to video track bitrate\\n video['bufsize'] = cast_to_int(active.mediainfo['Video']['bit_rate']*3) # set bufsize to three times the video bitrate\\n else:\\n video['maxrate'] = pacvert.CONFIG.CODEC_AVC_MAXRATE # set maxrate to given value\\n video['bufsize'] = pacvert.CONFIG.CODEC_AVC_BUFSIZE # set bufsize to given value\\n for anotheropt in pacvert.CONFIG.CODEC_AVC_ADDITIONALOPT: # if additional options are specified\\n video[anotheropt] = pacvert.CONFIG.CODEC_AVC_ADDITIONALOPT[anotheropt] # add options to out encoding list\\n elif pacvert.CONFIG.DEFAULT_CODEC_VIDEO == \\\"hevc\\\": # if target codec is hevc\\n video['preset'] = pacvert.CONFIG.CODEC_HEVC_PRESET # set preset\\n video['quality'] = pacvert.CONFIG.CODEC_HEVC_QUALITY # set quality\\n video['tune'] = pacvert.CONFIG.CODEC_HEVC_TUNE # set tune\\n if pacvert.CONFIG.CODEC_HEVC_AUTOMAXRATE: # set max rate\\n if pacvert.CONFIG.CODEC_HEVC_BUFSIZE < 0 or pacvert.CONFIG.CODEC_HEVC_MAXRATE < 0:\\n if 'bit_rate' in active.mediainfo['Video']:\\n video['maxrate'] = cast_to_int(active.mediainfo['Video']['bit_rate']) # set maxrate to video track bitrate\\n video['bufsize'] = cast_to_int(active.mediainfo['Video']['bit_rate']*3) # set bufsize to three times the video bitrate\\n else:\\n video['maxrate'] = pacvert.CONFIG.CODEC_HEVC_MAXRATE # set maxrate to given value\\n video['bufsize'] = pacvert.CONFIG.CODEC_HEVC_BUFSIZE # set bufsize to given value\\n for anotheropt in pacvert.CONFIG.CODEC_HEVC_ADDITIONALOPT: # if additional options are specified\\n video[anotheropt] = pacvert.CONFIG.CODEC_HEVC_ADDITIONALOPT[anotheropt] # add options to out encoding list\\n elif pacvert.CONFIG.DEFAULT_CODEC_VIDEO == \\\"vp8\\\": # if target codec is vp8\\n video['quality'] = pacvert.CONFIG.CODEC_VP8_QUALITY # set video quality\\n video['threads'] = pacvert.CONFIG.CODEC_VP8_THREADS # set no of real cores\\n else:\\n logger.error(\\\"Codec not yet implemented\\\")\\n\\n conv = c.convert(active.fullpath, active.outputfilename,\\n {\\n 'format': 'mkv',\\n 'video': video,\\n 'audio': {\\n 'codec': pacvert.CONFIG.DEFAULT_CODEC_AUDIO,\\n },\\n 'subtitle': {\\n 'codec': pacvert.CONFIG.DEFAULT_CODEC_SUBTITLE,\\n },\\n 'map': 0,\\n })\\n for timecode in conv:\\n logger.debug(\\\"Converting (\\\"+str(timecode)+\\\")...\\\")\\n active.progress = timecode\\n logger.info(\\\"Finished File: '\\\"+active.fullpath+\\\"'\\\")\\n active.finished = now()\\n pacvert.thequeue.addFinished(pacvert.thequeue.getActive()) # set status to finished\\n except FFMpegConvertError as e:\\n logger.error(\\\"ffmpeg: \\\" +e.message + \\\" with command: \\\"+ e.cmd)\\n\\n pacvert.thequeue.addFailed(pacvert.thequeue.getActive()) # set status to failed\\n time.sleep(1)\\n except Exception as e:\\n logger.error(e)\",\n \"def main():\\n parser = argparse.ArgumentParser(description=\\\"Tracks adult fish\\\")\\n # add options for argument parser\\n parser.add_argument(\\\"in_path\\\",\\n help=\\\"Path to the video directory.\\\")\\n parser.add_argument(\\\"out_path\\\",\\n help=\\\"Directory for results. Should be empty.\\\")\\n parser.add_argument(\\\"-x\\\", \\\"--keep_temp\\\", action=\\\"store_true\\\",\\n help=\\\"Keep temporary folder after execution.\\\")\\n parser.add_argument(\\\"--visual\\\", action=\\\"store_true\\\",\\n help=\\\"shows a visual representation of the tracking progress.\\\")\\n\\n # parse arguments from command line\\n args = parser.parse_args()\\n # get all file names and directories ready\\n out_dir, temp_dir, video_bases, videos = housekeeping(args)\\n borders = []\\n for i in range(len(videos)):\\n v = videos[i]\\n get_borders(borders, temp_dir, v)\\n\\n for i in range(len(videos)):\\n vbn = video_bases[i]\\n v = videos[i]\\n scaled_video = \\\"scaled_\\\" + vbn + \\\".avi\\\"\\n ffmpeg = Ffmpeg(v, os.path.join(temp_dir, scaled_video))\\n ffmpeg.f = \\\"avi\\\"\\n ffmpeg.vcodec = \\\"libx264rgb\\\"\\n ffmpeg.width = 480\\n ffmpeg.run()\\n\\n for i in range(len(videos)):\\n vbn = video_bases[i]\\n pts = tracker(args, temp_dir, vbn)\\n border = borders[i]\\n tracks_lower, tracks_upper = split_tracks(border, pts)\\n analysis = Analysis(tracks_lower, tracks_upper, px_size=0.06)\\n analysis.analyze(os.path.join(out_dir, 'stats.txt'), vbn, vel=True)\\n\\n if not args.keep_temp:\\n shutil.rmtree(temp_dir)\",\n \"def main(**args):\\n args = Arguments(args) or get_args()\\n last_id = args.last_id\\n prev_time = time.time()\\n\\n since_date = datetime.datetime.strptime(args.since_date or datetime.datetime.today().strftime(\\\"%Y-%m-%d\\\"), \\\"%Y-%m-%d\\\")\\n until_date = datetime.datetime.strptime(args.until_date, \\\"%Y-%m-%d\\\") if args.until_date else since_date\\n\\n captured = 0\\n finished = False\\n results = []\\n urls = set()\\n\\n if args.kafka_brokers:\\n producer = KafkaProducer(bootstrap_servers=args.kafka_brokers,\\n api_version=(0, 10, 0),\\n value_serializer=lambda v:\\n json.dumps(v).encode(\\\"utf-8\\\"))\\n\\n if args.output_json:\\n j = open(args.output_json, \\\"w\\\")\\n\\n mediacloud = MediaCloud(args.mediacloud_key)\\n\\n while not finished and since_date <= until_date:\\n solr_filter = mediacloud.publish_date_query(until_date, until_date+datetime.timedelta(days=1))\\n log.info(f\\\"Collecting {solr_filter}...\\\")\\n\\n while not finished:\\n previous_results = results\\n\\n try:\\n results = mediacloud.storyList(solr_query=args.query,\\n solr_filter=solr_filter,\\n last_processed_stories_id=last_id,\\n rows=args.rows)\\n\\n if not results\\\\\\n or previous_results == results:\\n finished = True\\n break\\n\\n for story in results:\\n last_id = story[\\\"processed_stories_id\\\"]\\n\\n if args.lang and (story[\\\"language\\\"] != args.lang):\\n continue\\n\\n if story[\\\"url\\\"]:\\n urls_length = len(urls)\\n urls.add(story[\\\"url\\\"])\\n\\n if urls_length != len(urls):\\n if args.kafka_brokers:\\n producer.send(args.topic,\\n process_entry(story),\\n key=sha1(story[\\\"url\\\"].encode(\\\"utf-8\\\")).hexdigest().encode(\\\"utf-8\\\"))\\n if args.output_json:\\n json.dump(story, j)\\n j.write(\\\"\\\\n\\\")\\n captured += 1\\n else:\\n log.debug(\\\"Skipping duplicate document: %s\\\" % story[\\\"url\\\"])\\n else:\\n log.error(f\\\"Found invalid document: {story}\\\")\\n\\n dt = time.time() - prev_time\\n if dt > 10:\\n log.info(f\\\"Captured {captured} article(s).\\\")\\n prev_time = time.time()\\n\\n if args.limit == captured:\\n finished = True\\n break\\n\\n except Exception as e:\\n log.warning(f\\\"{e}\\\")\\n break\\n\\n until_date = until_date - datetime.timedelta(days=1)\\n\\n log.info(f\\\"Total of {captured} captured article(s).\\\")\",\n \"def play(self, url):\\n args = self.config.get(\\\"args\\\", \\\"\\\")\\n cmd = \\\"/usr/bin/cvlc {} {}\\\".format(url, args)\\n event_logger.info(\\\"Running %s\\\", cmd)\\n\\n # Run the command via Popen directly to open the stream as an independent child\\n # process. This way we do not wait for the stream to finish.\\n # Output is captured (truncated) to file.\\n with open(\\\"logs/radio.log\\\", \\\"w\\\") as f:\\n self.process = subprocess.Popen(cmd.split(), stdout=f, stderr=subprocess.STDOUT)\",\n \"def run(self):\\n\\n # Start the video stream process\\n self._process.start()\",\n \"def remote_stream(**kwargs):\\n # SSH into the Raspberry Pi\\n logging.info(\\\"Conneting to the Raspberry Pi\\\")\\n ssh_client = connect_to_client()\\n sftp_client = ssh_client.open_sftp()\\n\\n if not os.path.exists(kwargs[\\\"destination_filepath\\\"]):\\n os.makedirs(kwargs[\\\"destination_filepath\\\"])\\n\\n # Create arguments for the command \\n destination_filepath = kwargs[\\\"destination_filepath\\\"]\\n video_length = kwargs[\\\"video_length\\\"]\\n preprocess_analysis = kwargs[\\\"preprocess_analysis\\\"]\\n\\n # Launch script to check for data in the output\\n cmd = f\\\"python3 check_local_files.py {destination_filepath}\\\"\\n for roi in kwargs[\\\"roi_locations\\\"]:\\n cmd += f\\\" {roi}\\\"\\n if kwargs[\\\"database\\\"]:\\n cmd += \\\" --database\\\"\\n cmd += f\\\" --preprocess_analysis {preprocess_analysis}\\\"\\n proc = subprocess.Popen(cmd, shell=True, stdin=None, stdout=None, stderr=None, close_fds=True)\\n\\n # Copy data from the Raspberry Pi to the local machine\\n while True:\\n current_datetime = datetime.now(TIMEZONE)\\n batch_id = current_datetime.strftime(\\\"%Y%m%d%H%M%S\\\")\\n pi_data_dir = os.path.join(\\\"/home/pi/Desktop\\\", current_datetime.strftime(\\\"%Y_%m_%d\\\"))\\n local_filepath = os.path.join(kwargs[\\\"destination_filepath\\\"], batch_id + \\\".h264\\\")\\n\\n # Make the data directory if it doesn't already exist\\n try:\\n sftp_client.stat(pi_data_dir)\\n except IOError:\\n sftp_client.mkdir(pi_data_dir)\\n\\n pi_filepath = os.path.join(pi_data_dir, batch_id + \\\".h264\\\")\\n cmd = f\\\"source /home/pi/.bash_profile; source /home/pi/envs/pulse_tracer/bin/activate; python3 /home/pi/Desktop/capstone/software/data_stream/rpi_camera_collect.py {pi_filepath} --video_length {video_length}\\\"\\n \\n logging.info(f\\\"Starting data collection on Raspberry Pi for {video_length} seconds\\\")\\n stdin, stdout, stderr = ssh_client.exec_command(cmd)\\n exit_status = stdout.channel.recv_exit_status() \\n\\n # If the remote facial detection was successful, read the output directory\\n if exit_status == 0:\\n # Transfer data from Raspberry Pi to local\\n logging.info(\\\"Copying remote file to local machine\\\")\\n sftp_client.get(pi_filepath, local_filepath + \\\".partial\\\")\\n os.rename(local_filepath + \\\".partial\\\", local_filepath)\\n else:\\n logging.error(stderr.read())\\n raise Exception()\\n \\n sftp_client.close()\\n ssh_client.close()\",\n \"def main():\\n args = parse_arguments()\\n\\n if args['list']:\\n list_quickstreams()\\n sys.exit()\\n\\n elif args['delete']:\\n delete_quickstream(args['delete'])\\n sys.exit()\\n\\n elif args['load']:\\n args = load_quickstream(args['load'])\\n\\n channel = args['channel']\\n start_time = args['start_time']\\n\\n if None in (channel, start_time):\\n print(\\\"Channel and Start_time arguments are required if \\\"\\n \\\"--delete, --list, or --load aren't being called.\\\")\\n sys.exit()\\n\\n if args['bookmark']:\\n create_bookmark(args)\\n\\n print(\\\"Recording of {} will begin around {}\\\".format(channel, start_time))\\n\\n # Calculate before recording so it isn't set to next day when stream ends\\n if args['reconnect']:\\n end_dt = time_to_datetime(args['reconnect'])\\n\\n start_dt = time_to_datetime(start_time)\\n while dt.datetime.now() < start_dt:\\n time.sleep(10)\\n\\n print('Starting recording of {}'.format(channel))\\n record_stream(channel, args['quality'], args['filename'])\\n\\n if args['reconnect']:\\n while dt.datetime.now() < end_dt:\\n record_stream(channel, args['quality'], None)\\n\\n if args['shutdown']:\\n subprocess.call(['shutdown'])\",\n \"def main(path):\\n logger.info(f'Processing video file {path}')\\n # Extract audio\\n audio_file = extract_audio(path, pipeline_config.audio_target_dir)\\n\\n # Generate sound classification results and speech recogniser results\\n sound_results = SoundRecogniser().process_file(audio_file)\\n sound_results = process_overlap(sound_results)\\n speech_results = SpeechRecogniser().process_file(audio_file)\\n\\n # NLP\\n wrds = get_words(speech_results)\\n nlp = SpaCyNaturalLanguageProcessor(pipeline_config.spacy_model)\\n custom_nlp = SpaCyNaturalLanguageProcessor(pipeline_config.custom_spacy_model)\\n processor = nlp.get_spacy_results_processor(wrds, speech_results)\\n custom_processor = custom_nlp.get_spacy_results_processor(wrds, speech_results)\\n chunk_results = processor.process_speech_results_chunk()\\n ner_results = processor.process_speech_results_ner()\\n ner_results.extend(custom_processor.process_speech_results_ner())\\n match_results = processor.process_speech_results_match()\\n speech_results = nlp.process_spurious_words(speech_results, chunk_results)\\n\\n # Add Speech recogniser results, sound classification results and NLP results to a subtitle file\\n subs_1 = save_to_subtitles(speech_results,\\n lambda speech_result: speech_result['word'])\\n subs_1 = compress_subs(subs_1)\\n subs_2 = save_to_subtitles(sound_results,\\n lambda sound_result: sound_result['class'])\\n subs_2 = flatten_subs(subs_2)\\n subs_3 = save_to_subtitles(chunk_results,\\n lambda chunk_result: f'{chunk_result[\\\"word\\\"]} ({chunk_result[\\\"head\\\"]})')\\n subs_4 = save_to_subtitles(ner_results,\\n lambda ner_result: f'{ner_result[\\\"type\\\"]} {ner_result[\\\"word\\\"]}')\\n subs_5 = save_to_subtitles(match_results,\\n lambda match_result: match_result[\\\"word\\\"])\\n\\n combined_subs = append_subs(None, subs_1, style='bottom')\\n combined_subs = append_subs(combined_subs, subs_2, exclude=['bottom'], style='top', formatter=lambda x: f'({x})')\\n combined_subs = append_subs(combined_subs, subs_3, style='left')\\n combined_subs = append_subs(combined_subs, subs_4, style='right')\\n combined_subs = append_subs(combined_subs, subs_5, style='bottom_left_pred')\\n combined_subs = remove_tiny_subs(combined_subs, duration_millis=1000, left_millis=None,\\n right_millis=None, style='top')\\n subtitle_file_name = os.path.splitext(path)[0] + '.ass'\\n create_styles(combined_subs)\\n combined_subs.save(subtitle_file_name)\\n\\n # Burn to a video\\n burn_subtitles_into_video(path, subtitle_file_name, pipeline_config.audio_target_dir)\\n logger.info(f'Done processing {audio_file}')\",\n \"def main():\\n # transcribe_audio()\\n summarize()\",\n \"def main():\\n parser = ArgumentParser()\\n parser.add_argument('pose_config', help='Config file for pose')\\n parser.add_argument('pose_checkpoint', help='Checkpoint file for pose')\\n parser.add_argument('--video-path', type=str, help='Video path')\\n parser.add_argument('--show', type=str2bool, nargs='?',\\n default=False, help=\\\"show results.\\\")\\n parser.add_argument('--device', default='cpu',\\n help='Device used for inference')\\n parser.add_argument('--box-thr', type=float, default=0.1,\\n help='Bounding box score threshold')\\n parser.add_argument('--kpt-thr', type=float, default=0.1,\\n help='Keypoint score threshold')\\n parser.add_argument('--folder_box', type=str, default='')\\n parser.add_argument('--save_pixels', type=str2bool, nargs='?',\\n const=True, default=False,\\n help='saveposes as pixels or ratio of im')\\n parser.add_argument('--skip_rate', type=int, default=1)\\n parser.add_argument('--flip', type=str2bool, default=False)\\n parser.add_argument('--save_vid', type=str2bool, default=False)\\n\\n args = parser.parse_args()\\n\\n start(args)\",\n \"def main():\\n configure_logging()\\n\\n # Attributes tell us what subscription has been created for us to listen to.\\n project = get_metadata('instance/attributes/pubsub_subscription_project')\\n service_account = get_metadata('instance/attributes/pubsub_service_account')\\n subscription = get_metadata('instance/attributes/pubsub_subscription')\\n pubsub = PubSub(service_account=service_account)\\n\\n while True:\\n logging.info('Polling for new messages')\\n ack_ids = []\\n start_time = time.time()\\n response = pubsub.pull(subscription, project)\\n for message in response.get('receivedMessages', []):\\n ack_ids.append(message['ackId'])\\n attributes = message['message'].get('attributes', {})\\n message = base64.b64decode(message['message'].get('data', ''))\\n logging.info(\\n 'Received message: %s\\\\nAttributes: %s',\\n message,\\n json.dumps(attributes, indent=2),\\n )\\n\\n if message == 'CONNECT' and attributes.get('swarming_server'):\\n if os.path.exists(SWARMING_UPSTART_CONFIG_DEST):\\n os.remove(SWARMING_UPSTART_CONFIG_DEST)\\n shutil.copy2(SWARMING_UPSTART_CONFIG_SRC, SWARMING_UPSTART_CONFIG_DEST)\\n\\n if not os.path.exists(SWARMING_BOT_DIR):\\n os.mkdir(SWARMING_BOT_DIR)\\n chrome_bot = pwd.getpwnam(CHROME_BOT)\\n os.chown(SWARMING_BOT_DIR, chrome_bot.pw_uid, chrome_bot.pw_gid)\\n\\n if os.path.exists(SWARMING_BOT_ZIP):\\n # Delete just the zip, not the whole directory so logs are kept.\\n os.remove(SWARMING_BOT_ZIP)\\n\\n bot_code = urllib2.urlopen(urlparse.urljoin(\\n attributes.get('swarming_server'), 'bot_code'))\\n with open(SWARMING_BOT_ZIP, 'w') as fd:\\n shutil.copyfileobj(bot_code, fd)\\n os.chown(SWARMING_BOT_ZIP, chrome_bot.pw_uid, chrome_bot.pw_gid)\\n\\n pubsub.acknowledge(subscription, project, ack_ids)\\n subprocess.check_call(['/sbin/shutdown', '-r', 'now'])\\n elif message == 'LEASED' and attributes.get('lease_expiration_ts'):\\n with open(LEASE_EXPIRATION_FILE, 'w') as f:\\n f.write(attributes['lease_expiration_ts'])\\n\\n if ack_ids:\\n pubsub.acknowledge(subscription, project, ack_ids)\\n if time.time() - start_time < 1:\\n # Iterate at most once per second (chosen arbitrarily).\\n time.sleep(1)\",\n \"def run(mq_url):\\n worker = Worker(PoseWorker.payload_handler,\\n DBPublisher(mq_url), 'pose', mq_url)\\n worker.start_consuming()\",\n \"def run(self):\\n\\n self.start_gst(\\n [\\n self.video_source,\\n self.video_codec,\\n self.video_decode,\\n self.video_sink_conf\\n ])\\n\\n self.video_sink.connect('new-sample', self.callback)\",\n \"def streamer(self):\\n retry = 3\\n print ('start streamer!')\\n while self.container is None and 0 < retry:\\n if not self.collect_frames:\\n break\\n #print (type(self.container))\\n retry -= 1\\n try:\\n self.container = av.open(self.drone.get_video_stream())\\n print('success')\\n except av.AVError as ave:\\n print(ave)\\n print('retry...')\",\n \"def main(text):\\n\\n # Get CHATBOT response from the user input.\\n bot_response = CHATBOT.get_response(text).text\\n print(bot_response)\\n\\n # Get polarity score from CHATBOT response.\\n analysis = VADER_ANALYZER.polarity_scores(text)\\n\\n # Change polarity score relatively to a audible frequency.\\n freq = (analysis['compound'] - -1) / (1 - -1) * (800 - 200) + 200\\n\\n # Send OSC message, to be listened to by pd.\\n CLIENT.send_message(\\\"/filter\\\", freq)\\n\\n # Log conversation.\\n exchange = {text: bot_response}\\n _log_conversation(\\\"conversation.db\\\", exchange)\",\n \"def main(args=None):\\n if not args:\\n args = sys.argv[1:]\\n\\n CONF.setup(args) # re-conf\\n\\n # upstream link configured in local broker\\n consume(work, 'stableIDs', 'completed')\",\n \"async def setup(self, timing_server_port: int, control_client_port: int) -> None:\\n verifier = pair_verify(self.context.credentials, self.rtsp.connection)\\n await verifier.verify_credentials()\\n\\n await self.rtsp.announce(\\n self.context.bytes_per_channel,\\n self.context.channels,\\n self.context.sample_rate,\\n self.context.password,\\n )\\n\\n resp = await self.rtsp.setup(\\n headers={\\n \\\"Transport\\\": (\\n \\\"RTP/AVP/UDP;unicast;interleaved=0-1;mode=record;\\\"\\n f\\\"control_port={control_client_port};\\\"\\n f\\\"timing_port={timing_server_port}\\\"\\n )\\n }\\n )\\n _, options = parse_transport(resp.headers[\\\"Transport\\\"])\\n self.context.timing_port = int(options.get(\\\"timing_port\\\", 0))\\n self.context.control_port = int(options[\\\"control_port\\\"])\\n self.context.rtsp_session = int(resp.headers[\\\"Session\\\"])\\n self.context.server_port = int(options[\\\"server_port\\\"])\\n\\n _LOGGER.debug(\\n \\\"Remote ports: control=%d, timing=%d, server=%d\\\",\\n self.context.control_port,\\n self.context.timing_port,\\n self.context.server_port,\\n )\",\n \"def run(args, messenger):\\n assert args.schema_registry_host is not None and args.schema is not None\\n\\n value_schema = avro.load(args.schema)\\n conf = {'bootstrap.servers': \\\"{}:9092\\\".format(args.schema_registry_host),\\n 'schema.registry.url': \\\"http://{}:8081\\\".format(args.schema_registry_host)}\\n avro_producer = AvroProducer(conf, default_value_schema=value_schema)\\n\\n while True:\\n\\n # Get current timestamp\\n timestamp = int(time.time())\\n\\n # Assemble avro-formatted message filled with generated data\\n message, values = messenger.get_message(timestamp)\\n\\n # Publish the message under the specified topic on the message bus\\n # avro_producer.produce(topic=args.topic, value=message)\\n\\n if args.carbon_host is not None:\\n # If a Carbon host is provided, send to Grafana dashboard\\n messenger.send_dashboard(timestamp, values, args.carbon_host)\\n\\n # Flush the buffer\\n avro_producer.flush()\\n\\n # Wait a second\\n time.sleep(1.0 / args.frequency)\",\n \"def main():\\n config = configparser.ConfigParser()\\n config.read('dwh.cfg')\\n try: \\n conn = psycopg2.connect(\\\"host={} dbname={} user={} password={} port={}\\\".format(*config['CLUSTER'].values()))\\n cur = conn.cursor()\\n \\n # copy data from S3 to staging tables in redshift\\n print('Staging song and log data. This takes several minutes!')\\n execute_query_list(cur, conn, copy_table_queries)\\n \\n print('Populating analytics tables.')\\n # fill analytical tables from staging tables\\n execute_query_list(cur, conn, insert_table_queries)\\n finally:\\n conn.close()\",\n \"def main(annotate_uri, api_key, title, tags, description, start_time, end_time, debug):\\n\\n log_level = logging.INFO\\n if debug:\\n log_level = logging.DEBUG\\n\\n logging.basicConfig(format=' [%(levelname)s] %(message)s', level=log_level)\\n\\n try:\\n if description is None:\\n if not sys.stdin.isatty():\\n description = \\\"\\\".join([line for line in iter(sys.stdin.readline, '')])\\n else:\\n description = \\\"\\\"\\n\\n this_annotation = Annotation(title, tags, description, start_time, end_time)\\n result = this_annotation.send(annotate_uri, api_key)\\n\\n if result['event_data']:\\n logging.debug(result['event_data'])\\n if result['message']:\\n logging.info(result['message'])\\n\\n except Exception as e:\\n logging.exception(e)\\n \\\"\\\"\\\"\\n We could exit 1 here but we really don't want to cause a job to\\n fail just because we couldn't send an event.\\n \\\"\\\"\\\"\\n\\n sys.exit(0)\",\n \"def main()->None:\\n #Define key words\\n keyword_list = ['#DataScience', '#MachineLearning', '#artificialintelligence', '#AI', '#ai', '#machinelearning',\\n '#deeplearning', 'DeepLearning', '#ML', '#ArtificialIntelligence', '#machinelearning',\\n 'DigitalTransformation'] # track list\\n\\n #Initiate Time\\n start_time = time.time() # grabs the system time\\n print(\\\"Launch! \\\\n\\\")\\n\\n #Listen to twitter\\n twitterStream = Stream(Authentification(), listener.Listener(start_time, time_limit=3600)) # initialize Stream object with a time out limit\\n twitterStream.filter(track=keyword_list, languages=['en']) # call the filter method to run the Stream Object\\n print('Exctraction from twitter succesful')\",\n \"def main():\\n parser = argparse.ArgumentParser()\\n parser.add_argument('--visualize', dest='visualize_dir', help=\\\"Path to directory to load all vizualization info from\\\")\\n parser.add_argument('--overwrite', dest='overwrite', default=False, action='store_true', help=\\\"Overwrite existing logs parts if found\\\")\\n args = parser.parse_args()\\n if not args.visualize_dir:\\n print \\\"Missing required argument, --visualize\\\"\\n exit(-1)\\n\\n dsrc_log_file = args.visualize_dir + '/dsrc.log'\\n radar_log_file = args.visualize_dir + '/radar.log'\\n video_file = args.visualize_dir + '/video.mp4'\\n log_config = args.visualize_dir + '/config.json'\\n\\n config = parse_config(log_config)\\n\\n if 'parts_auto_enabled' in config and config['parts_auto_enabled']:\\n cap = cv2.VideoCapture(video_file)\\n fps = cap.get(cv2.CAP_PROP_FPS)\\n frames = cap.get(cv2.CAP_PROP_FRAME_COUNT)\\n duration = float(frames) / fps\\n cap.release()\\n\\n print 'Video duration: %s' % duration\\n start = 0\\n count = 1\\n while start < duration:\\n config['parts'].append({\\n 'start': start,\\n 'end': start + config['parts_auto_interval'],\\n 'name': 'auto_part_%s' % count\\n })\\n count = count + 1\\n start = start + config['parts_auto_interval']\\n\\n print config \\n\\n for index, part in enumerate(config['parts']):\\n part_path = args.visualize_dir + '/' + (part['name'] if 'name' in part else 'part_%s' % (index+1))\\n print \\\"---------------------------------------\\\"\\n print \\\" Writing log to %s\\\" % part_path\\n print \\\"---------------------------------------\\\"\\n if not args.overwrite and os.path.exists(part_path):\\n print \\\"Log already exists, skipping...\\\"\\n continue\\n\\n if not os.path.exists(part_path):\\n os.makedirs(part_path)\\n\\n export_part_video(part, part_path, video_file)\\n export_part_log(part, part_path + '/radar.log', radar_log_file, config['video_start'])\\n export_part_log(part, part_path + '/dsrc.log', dsrc_log_file, config['video_start'])\\n export_part_config(part_path + '/config.json', config)\",\n \"def main():\\n parser = argparse.ArgumentParser()\\n parser.add_argument('source_path', help=\\\"Path to the video or audio file to subtitle\\\",\\n nargs='?')\\n parser.add_argument('-C', '--concurrency', help=\\\"Number of concurrent API requests to make\\\",\\n type=int, default=DEFAULT_CONCURRENCY)\\n parser.add_argument('-o', '--output',\\n help=\\\"Output path for subtitles (by default, subtitles are saved in \\\\\\n the same directory and name as the source path)\\\")\\n parser.add_argument('-F', '--format', help=\\\"Destination subtitle format\\\",\\n default=DEFAULT_SUBTITLE_FORMAT)\\n parser.add_argument('-S', '--src-language', help=\\\"Language spoken in source file\\\",\\n default=DEFAULT_SRC_LANGUAGE)\\n parser.add_argument('-D', '--dst-language', help=\\\"Desired language for the subtitles\\\",\\n default=DEFAULT_DST_LANGUAGE)\\n parser.add_argument('-K', '--api-key',\\n help=\\\"The Google Translate API key to be used. \\\\\\n (Required for subtitle translation)\\\")\\n parser.add_argument('--list-formats', help=\\\"List all available subtitle formats\\\",\\n action='store_true')\\n parser.add_argument('--list-languages', help=\\\"List all available source/destination languages\\\",\\n action='store_true')\\n\\n parser.add_argument('--min_height', help=\\\"minimum height from 0 - 100%\\\", type=float, default=93)\\n\\n parser.add_argument('--max_height', help=\\\"maximum height from 0 - 100%\\\", type=float, default=99)\\n\\n parser.add_argument('--l_v', help=\\\"Light sensitive\\\", type=float, default=210)\\n\\n parser.add_argument('--debug', help=\\\"Allows to show cropped image on the desktop\\\", action='store_true', default=True)\\n\\n parser.add_argument('--cloud', help=\\\"Use google cloud compute to extract text\\\", action='store_true', default=False)\\n\\n parser.add_argument('--disable_time', help=\\\"Parse time function\\\", action='store_true')\\n\\n parser.add_argument('--all', help=\\\"Render all files\\\", action='store_true')\\n\\n args = parser.parse_args()\\n\\n if args.list_formats:\\n print(\\\"List of formats:\\\")\\n for subtitle_format in FORMATTERS:\\n print(\\\"{format}\\\".format(format=subtitle_format))\\n return 0\\n\\n if args.list_languages:\\n print(\\\"List of all languages:\\\")\\n for code, language in sorted(LANGUAGE_CODES.items()):\\n print(\\\"{code}\\\\t{language}\\\".format(code=code, language=language))\\n return 0\\n\\n if not validate(args):\\n return 1\\n\\n try:\\n if args.all:\\n for file in os.listdir():\\n # *.avi *.flv *.mkv *.mpg *.mp4 *.webm\\n if file.endswith('.avi') or file.endswith('.flv') or file.endswith('.mkv') or file.endswith('.mpg') or file.endswith('.mp4') or file.endswith(\\\".webm\\\"):\\n st = time.time()\\n subtitle_file_path = generate_subtitles(\\n source_path=file,\\n dst_language=args.dst_language,\\n output=args.output,\\n debug=args.debug,\\n cloud=args.cloud,\\n disable_time=args.disable_time,\\n min_height=args.min_height,\\n max_height=args.max_height,\\n l_v=args.l_v,\\n )\\n print(\\\"Subtitles file created at {} time consumer: {}\\\".format(subtitle_file_path, time.time() - st))\\n else:\\n st = time.time()\\n subtitle_file_path = generate_subtitles(\\n source_path=args.source_path,\\n dst_language=args.dst_language,\\n output=args.output,\\n debug=args.debug,\\n cloud=args.cloud,\\n disable_time=args.disable_time,\\n min_height=args.min_height,\\n max_height=args.max_height,\\n l_v=args.l_v,\\n )\\n print(\\\"Subtitles file created at {} time consumer: {}\\\".format(subtitle_file_path, time.time() - st))\\n except KeyboardInterrupt:\\n return 1\\n\\n return 0\",\n \"def start_publishing(self):\\n print(f\\\"{self._connection_param}: Issuing consumer related RPC commands\\\")\\n # self._channel.confirm_delivery(self.on_delivery_confirmation)\\n self.schedule_next_message(self.SLOW_SEND)\",\n \"def run_rtmpdump(info, output, extra_arg=\\\"\\\"):\\n args = [\\n \\\"rtmpdump\\\",\\n \\\"--quiet\\\",\\n \\\"--live\\\",\\n extra_arg,\\n \\\"--rtmp\\\", \\\"rtmp://\\\" + info[2] + \\\"/live-edge\\\",\\n \\\"--pageUrl\\\", \\\"http://chaturbate.com/\\\" + info[1],\\n \\\"--conn\\\", \\\"S:\\\" + info[8],\\n \\\"--conn\\\", \\\"S:\\\" + info[1],\\n \\\"--conn\\\", \\\"S:2.645\\\",\\n \\\"--conn\\\", \\\"S:\\\" + urllib.unquote(info[15]),\\n \\\"--token\\\", \\\"m9z#$dO0qe34Rxe@sMYxx\\\",\\n \\\"--playpath\\\", \\\"playpath\\\",\\n \\\"--flv\\\", output\\n ]\\n\\n return subprocess.Popen(args)\",\n \"def main():\\n parser = argparse.ArgumentParser(description=\\\"\\\"\\\"Tester for YT Data API and different inputs\\\"\\\"\\\")\\n parser.add_argument('-a', '--analytics', help='Performs a basic analytics lookup for the user\\\\'s channel entered')\\n parser.add_argument('-c', '--comments', help='Performs a lookup of comments for the video id entered')\\n args = parser.parse_args()\\n\\n if args.analytics:\\n analytics = args.analytics\\n analyt(analytics)\\n\\n if args.comments:\\n comments = args.comments\\n get_comments(comments)\",\n \"def main():\\n parser = optparse.OptionParser(usage=USAGE)\\n parser.add_option('--records', dest='record_count', type=int,\\n help='The number of archive records to create.',\\n default=2)\\n parser.add_option('--interval', dest='interval', type=int,\\n help='The archive interval in seconds.',\\n default=300)\\n parser.add_option('--delay', dest='delay', type=int,\\n help='The archive delay in seconds.',\\n default=15)\\n parser.add_option(\\\"--units\\\", choices=[\\\"US\\\", \\\"METRIC\\\", \\\"METRICWX\\\"],\\n help=\\\"The default units if not in MQTT payload.\\\",\\n default=\\\"US\\\")\\n parser.add_option(\\\"--binding\\\", choices=[\\\"archive\\\", \\\"loop\\\"],\\n help=\\\"The type of binding.\\\",\\n default=\\\"archive\\\")\\n parser.add_option(\\\"--type\\\", choices=[\\\"driver\\\", \\\"service\\\"],\\n help=\\\"The simulation type.\\\",\\n default=\\\"driver\\\")\\n parser.add_option(\\\"--verbose\\\", action=\\\"store_true\\\", dest=\\\"verbose\\\",\\n help=\\\"Log extra output (debug=1).\\\")\\n parser.add_option(\\\"--console\\\", action=\\\"store_true\\\", dest=\\\"console\\\",\\n help=\\\"Log to console in addition to syslog.\\\")\\n parser.add_option(\\\"--host\\\",\\n help=\\\"The MQTT server.\\\")\\n parser.add_option(\\\"--topics\\\",\\n help=\\\"Comma separated list of topics to subscribe to.\\\")\\n parser.add_option(\\\"--callback\\\",\\n help=\\\"The callback type.\\\")\\n\\n (options, args) = parser.parse_args()\\n\\n simulation_type = options.type\\n binding = options.binding\\n record_count = options.record_count\\n interval = options.interval\\n delay = options.delay\\n units = weewx.units.unit_constants[options.units]\\n\\n syslog.openlog('wee_MQTTSS', syslog.LOG_PID | syslog.LOG_CONS)\\n if options.verbose:\\n syslog.setlogmask(syslog.LOG_UPTO(syslog.LOG_DEBUG))\\n else:\\n syslog.setlogmask(syslog.LOG_UPTO(syslog.LOG_INFO))\\n\\n config_path = os.path.abspath(args[0])\\n\\n config_dict = configobj.ConfigObj(config_path, file_error=True)\\n\\n if options.topics:\\n topics = options.topics.split(',')\\n config_dict['MQTTSubscribeService']['topics'] = {}\\n config_dict['MQTTSubscribeDriver']['topics'] = {}\\n for topic in topics:\\n weeutil.config.merge_config(config_dict,\\n {'MQTTSubscribeService': {'topics': {topic:{}}}})\\n weeutil.config.merge_config(config_dict,\\n {'MQTTSubscribeDriver': {'topics': {topic:{}}}})\\n\\n if options.host:\\n weeutil.config.merge_config(config_dict,\\n {'MQTTSubscribeService': {'host': options.host}})\\n weeutil.config.merge_config(config_dict,\\n {'MQTTSubscribeDriver': {'host': options.host}})\\n\\n if options.callback:\\n weeutil.config.merge_config(config_dict,\\n {'MQTTSubscribeService': {'message_callback': {'type': options.callback}}})\\n weeutil.config.merge_config(config_dict,\\n {'MQTTSubscribeDriver': {'message_callback': {'type': options.callback}}})\\n\\n min_config_dict = {\\n 'Station': {\\n 'altitude': [0, 'foot'],\\n 'latitude': 0,\\n 'station_type': 'Simulator',\\n 'longitude': 0\\n },\\n 'Simulator': {\\n 'driver': 'weewx.drivers.simulator',\\n },\\n 'Engine': {\\n 'Services': {}\\n }\\n }\\n\\n print(\\\"Simulation is %s\\\" % simulation_type)\\n print(\\\"Creating %i %s records\\\" % (record_count, binding))\\n print(\\\"Interval is %i seconds\\\" % interval)\\n print(\\\"Delay is %i seconds\\\" % delay)\\n\\n engine = StdEngine(min_config_dict)\\n\\n weewx.accum.initialize(config_dict)\\n\\n # override the configured binding with the parameter value\\n weeutil.config.merge_config(config_dict,\\n {'MQTTSubscribeService': {'binding': binding}})\\n\\n # if specified, override the console logging\\n if options.console:\\n weeutil.config.merge_config(config_dict,\\n {'MQTTSubscribeService': {'console': True}})\\n weeutil.config.merge_config(config_dict,\\n {'MQTTSubscribeDriver': {'console': True}})\\n\\n if simulation_type == \\\"service\\\":\\n simulate_service(engine, config_dict, binding, record_count, interval, delay, units)\\n elif simulation_type == \\\"driver\\\":\\n driver = \\\"user.MQTTSubscribe\\\"\\n __import__(driver)\\n # This is a bit of Python wizardry. First, find the driver module\\n # in sys.modules.\\n driver_module = sys.modules[driver]\\n # Find the function 'loader' within the module:\\n loader_function = getattr(driver_module, 'loader')\\n driver = loader_function(config_dict, engine)\\n\\n if binding == \\\"archive\\\":\\n simulate_driver_archive(driver, record_count, interval, delay)\\n elif binding == \\\"loop\\\":\\n simulate_driver_packet(driver, record_count)\",\n \"def run(config, logging, inq, subscribe_callback, unsubscribe_callback):\",\n \"def run_from_cli():\\n cli_utils.setup_logging()\\n parser = argparse.ArgumentParser()\\n parser.add_argument(\\\"--peer-application\\\", \\\"-a\\\",\\n help=\\\"BGP peer application name. Default: quagga\\\",\\n default=\\\"quagga\\\")\\n\\n options = parser.parse_args()\\n peer_application_name = cli_utils.parse_arg(options,\\n \\\"peer_application\\\")\\n\\n setup_bgp_speaker(peer_application_name)\",\n \"def planner_cmd_callback(self, msg):\\n\\n # Use planner input directly\\n self.mix_cmd_pub.publish(msg)\",\n \"def main():\\n if len(sys.argv) < 4:\\n print(\\\"usage: %s [address]\\\" % sys.argv[0])\\n return 1\\n pos = 12\\n first_one = True\\n for address in sys.argv[1:]:\\n tv = Mdc(address)\\n tv.connect()\\n if not first_one:\\n tv.set_source(0x25)\\n first_one = False\\n tv.video_wall_on()\\n tv.set_video_wall(4, 3, pos)\\n pos -= 1\\n return 0\",\n \"def open_video(self):\\n\\n # start the stream on the bebop\\n if (self.is_bebop):\\n self.drone_object.start_video_stream()\\n\\n # we have bypassed the old opencv VideoCapture method because it was unreliable for rtsp\\n\\n # get the path for the config files\\n fullPath = inspect.getfile(DroneVisionGUI)\\n shortPathIndex = fullPath.rfind(\\\"/\\\")\\n if (shortPathIndex == -1):\\n # handle Windows paths\\n shortPathIndex = fullPath.rfind(\\\"\\\\\\\\\\\")\\n print(shortPathIndex)\\n shortPath = fullPath[0:shortPathIndex]\\n self.imagePath = join(shortPath, \\\"images\\\")\\n self.utilPath = join(shortPath, \\\"utils\\\")\\n print(self.imagePath)\\n print(self.utilPath)\\n\\n if self.is_bebop:\\n # generate the streaming-address for the Bebop\\n self.utilPath = join(shortPath, \\\"utils\\\")\\n self.stream_adress = \\\"%s/bebop.sdp\\\" % self.utilPath\\n else:\\n # generate the streaming-address for the Mambo\\n self.stream_adress = \\\"rtsp://192.168.99.1/media/stream2\\\"\\n\\n # initialise the vlc-player with the network-caching\\n self.player = vlc.MediaPlayer(self.stream_adress, \\\":network-caching=\\\" + str(self.network_caching))\\n\\n # start the buffering\\n success = self._start_video_buffering()\",\n \"def run(config):\\n\\tlog.debug('-- in example.py')\\n#\\tgetWLSMachineandandExecuteSecondary(config)\\n#\\t__createPegaConfigCommand(config)\\n#\\tcreateUsers(config)\\n#\\t__connectAdminServer(config)\\n\\tconnectAdminServerOverSSL(config)\",\n \"def start_ffmpeg_record(stream, stream_url, formatted_date):\\n filename = stream + '_' + formatted_date\\n save_video_dir = 'rover_stream/' + stream\\n subprocess.Popen(['mkdir rover_stream'], shell=True)\\n subprocess.Popen(['mkdir ' + save_video_dir], shell=True)\\n proc_video[stream] = subprocess.Popen(['ffmpeg -i ' + stream_url + ' -acodec copy -vcodec copy ' + save_video_dir + '/' + filename + '.mp4'], stdin=PIPE, shell=True)\",\n \"def main():\\n docopt = docoptinit(__doc__)\\n logging.basicConfig(level=logging.INFO,\\n format='[%(asctime)s] [%(levelname)s] [ %(filename)s:%(lineno)s - %(name)s ] %(message)s ')\\n logging.info('basic config')\\n # qb.set_logger(__file__, debug=docopt['--debug'])\\n host = docopt['--host']\\n port = int(docopt['--port'])\\n if not (1 <= port <= 65535):\\n raise Exception('port must be 1-65535')\\n\\n global verbose\\n verbose = int(docopt['--verbose'])\\n loop = asyncio.get_event_loop()\\n try:\\n loop.run_until_complete(start_warp_server(host, port))\\n loop.run_forever()\\n except OSError:\\n pass\\n except KeyboardInterrupt:\\n print('bye')\\n finally:\\n loop.close()\",\n \"def run(self):\\n\\t\\t\\n\\t\\tself.connect(self.config[\\\"server\\\"])\",\n \"def main():\\n\\n # Parse arguments\\n parser = OptionParser()\\n parser.add_option('-n', '--subscription_key', dest='subscription_key',\\n help='subscription_key for authentication')\\n parser.add_option('-t', '--text', dest='text',\\n help='text to synthesize')\\n parser.add_option('-l', '--language', dest='language',\\n help='language')\\n parser.add_option('-g', '--gender', dest='gender',\\n help='gender')\\n parser.add_option('-d', '--directory', dest='directory',\\n help='directory to store the file')\\n (options, args) = parser.parse_args()\\n subscription_key = options.subscription_key\\n text = options.text\\n language = options.language\\n gender = options.gender\\n directory = options.directory\\n\\n # Perform sanity checks on options\\n validate_options(subscription_key, text)\\n\\n if not directory:\\n directory = default_directory\\n\\n if not language:\\n language = default_language\\n\\n if not gender:\\n gender = default_gender\\n\\n # format = 'riff-16khz-16bit-mono-pcm'\\n format = 'riff-8khz-8bit-mono-mulaw'\\n\\n # lang = 'en-AU'\\n # gender = 'Female'\\n tts_msspeak = MSSpeak(subscription_key, '/tmp/')\\n tts_msspeak.set_cache(False)\\n output_filename = tts_msspeak.speak(text, language, gender, format)\\n\\n print 'Recorded TTS to %s%s' % (directory, output_filename)\",\n \"def script_load(settings):\\n log_threadsafe(obs.LOG_DEBUG, 'Plugin loaded')\\n \\n recording_signal_handler = obs.obs_output_get_signal_handler(obs.obs_frontend_get_recording_output())\\n obs.signal_handler_connect(recording_signal_handler, \\\"start\\\", trigger_recording_started)\\n obs.signal_handler_connect(recording_signal_handler, \\\"stop\\\", trigger_recording_stopped)\\n \\n global pipe\\n pipe = win32pipe.CreateNamedPipe(\\n r'\\\\\\\\.\\\\pipe\\\\%s' % pipe_name(),\\n win32pipe.PIPE_ACCESS_DUPLEX,\\n win32pipe.PIPE_TYPE_MESSAGE | win32pipe.PIPE_READMODE_MESSAGE | win32pipe.PIPE_WAIT,\\n 1, 65536, 65536,\\n 0,\\n None)\\n \\n #have_client_to_speak_with = False #It is the default value, but it must be intact\\n init_client_seeker()\",\n \"def start(self):\\n tokyo_time = datetime.datetime.now(tz=TOKYO_TZ)\\n\\n # TODO: Does this work on Windows now?\\n env = os.environ.copy()\\n\\n # remove proxy information\\n for key in ('http_proxy', 'https_proxy', 'HTTP_PROXY', 'HTTPS_PROXY'):\\n env.pop(key, None)\\n\\n self.update_streaming_url()\\n\\n # TODO: rework this whole process to include lhls, and make it configurable\\n # and less braindead\\n if not self._protocol:\\n self._protocol = 'rtmp'\\n if not self._ffmpeg_container:\\n self._ffmpeg_container = 'mp4'\\n extra_args = []\\n # Fall back to HLS if no RTMP stream available\\n # Better to do this here or in update_streaming_url?\\n # There's a possible race condition here, if some external thread modifies either of these\\n if not self._rtmp_url and self._protocol == 'rtmp':\\n download_logger.warn('Using HLS downloader for {}'.format(self._room.handle))\\n self._protocol = 'hls'\\n\\n # extra_args = []\\n # force using TS container with HLS\\n # this is causing more problems than it solves\\n # if self.protocol in ('hls', 'lhls'):\\n # self._ffmpeg_container = 'ts'\\n\\n # 2020-01-10: those problems were preferrable to completely unwatchable streams\\n if self.protocol in ('hls', 'lhls'):\\n extra_args = [\\\"-copyts\\\"]\\n if self._ffmpeg_container == 'mp4':\\n extra_args.extend([\\\"-bsf:a\\\", \\\"aac_adtstoasc\\\"])\\n\\n # I don't think this is needed?\\n # if self._ffmpeg_container == 'ts':\\n # extra_args.extend(['-bsf:v', 'h264_mp4toannexb'])\\n # elif self._ffmpeg_container != 'mp4':\\n # # TODO: support additional container formats, e.g. FLV\\n # self._ffmpeg_container = 'mp4'\\n temp, dest, out = format_name(self._rootdir,\\n strftime(tokyo_time, FULL_DATE_FMT),\\n self._room, ext=self._ffmpeg_container)\\n\\n with self._lock:\\n self.tempdir, self.destdir, self.outfile = temp, dest, out\\n\\n if self._logging is True:\\n log_file = os.path.normpath('{}/logs/{}.log'.format(self.destdir, self.outfile))\\n env.update({'FFREPORT': 'file={}:level=40'.format(log_file)})\\n # level=48 is debug mode, with lots and lots of extra information\\n # maybe too much\\n normed_outpath = os.path.normpath('{}/{}'.format(self.tempdir, self.outfile))\\n\\n self._process = subprocess.Popen([\\n self._ffmpeg_path,\\n # '-nostdin',\\n # '-nostats', # will this omit any useful information?\\n '-loglevel', '40', # 40+ required for wait() to check output\\n '-copytb', '1',\\n '-i', self.stream_url,\\n '-c', 'copy',\\n *extra_args,\\n normed_outpath\\n ],\\n stdin=subprocess.DEVNULL,\\n stderr=subprocess.PIPE, # ffmpeg sends all output to stderr\\n universal_newlines=True,\\n bufsize=1,\\n env=env)\",\n \"def start_transcribing():\\n transcribe.main()\",\n \"def main(): # noqa: D401\\n service = MagmaService('subscriberdb', mconfigs_pb2.SubscriberDB())\\n\\n # Optionally pipe errors to Sentry\\n sentry_init(service_name=service.name, sentry_mconfig=service.shared_mconfig.sentry_config)\\n\\n suciprofile_db_dict = {}\\n\\n # Initialize a store to keep all subscriber data.\\n store = SqliteStore(\\n service.config.get('db_path'), loop=service.loop,\\n sid_digits=service.config.get('sid_last_n'),\\n )\\n\\n # Initialize the processor\\n processor = Processor(\\n store,\\n get_default_sub_profile(service),\\n service.mconfig.sub_profiles,\\n service.mconfig.lte_auth_op,\\n service.mconfig.lte_auth_amf,\\n )\\n\\n # Add all servicers to the server\\n subscriberdb_servicer = SubscriberDBRpcServicer(\\n store,\\n processor,\\n service.config.get('print_grpc_payload', False),\\n )\\n subscriberdb_servicer.add_to_server(service.rpc_server)\\n\\n suciprofilerdb_servicer = SuciProfileDBRpcServicer(\\n store,\\n suciprofile_db_dict,\\n service.config.get('print_grpc_payload', False),\\n )\\n suciprofilerdb_servicer.add_to_server(service.rpc_server)\\n\\n # Start a background thread to stream updates from the cloud\\n if service.config.get('enable_streaming'):\\n grpc_client_manager = GRPCClientManager(\\n service_name=\\\"subscriberdb\\\",\\n service_stub=SubscriberDBCloudStub,\\n max_client_reuse=60,\\n )\\n sync_interval = service.mconfig.sync_interval\\n subscriber_page_size = service.config.get('subscriber_page_size')\\n subscriberdb_cloud_client = SubscriberDBCloudClient(\\n service.loop,\\n store,\\n subscriber_page_size,\\n sync_interval,\\n suciprofile_db_dict,\\n grpc_client_manager,\\n )\\n\\n subscriberdb_cloud_client.start()\\n else:\\n logging.info(\\n 'enable_streaming set to False. Subscriber streaming '\\n 'disabled!',\\n )\\n\\n # Wait until the datastore is populated by addition or resync before\\n # listening for clients.\\n async def serve(): # noqa: WPS430\\n if not store.list_subscribers():\\n # Waiting for subscribers to be added to store\\n await store.on_ready()\\n\\n if service.config.get('enable5g_features', service.mconfig.enable5g_features):\\n logging.info('Cater to 5G Authentication')\\n m5g_subs_auth_servicer = M5GAuthRpcServicer(\\n processor,\\n service.config.get('print_grpc_payload', False),\\n )\\n m5g_subs_auth_servicer.add_to_server(service.rpc_server)\\n\\n if service.config.get('enable5g_features', service.mconfig.enable5g_features):\\n logging.info('Cater to 5G SUPI Registration')\\n m5g_suci_reg_servicer = M5GSUCIRegRpcServicer(\\n processor,\\n suciprofile_db_dict,\\n service.config.get('print_grpc_payload', False),\\n )\\n m5g_suci_reg_servicer.add_to_server(service.rpc_server)\\n\\n if service.config.get('s6a_over_grpc'):\\n logging.info('Running s6a over grpc')\\n s6a_proxy_servicer = S6aProxyRpcServicer(\\n processor,\\n service.config.get('print_grpc_payload', False),\\n )\\n s6a_proxy_servicer.add_to_server(service.rpc_server)\\n else:\\n logging.info('Running s6a over DIAMETER')\\n base_manager = base.BaseApplication(\\n service.config.get('mme_realm'),\\n service.config.get('mme_host_name'),\\n service.config.get('mme_host_address'),\\n )\\n s6a_manager = _get_s6a_manager(service, processor)\\n base_manager.register(s6a_manager)\\n\\n # Setup the Diameter/s6a MME\\n s6a_server = service.loop.create_server(\\n lambda: S6aServer(\\n base_manager,\\n s6a_manager,\\n service.config.get('mme_realm'),\\n service.config.get('mme_host_name'),\\n loop=service.loop,\\n ),\\n service.config.get('host_address'),\\n service.config.get('mme_port'),\\n )\\n asyncio.ensure_future(s6a_server, loop=service.loop)\\n\\n asyncio.ensure_future(serve(), loop=service.loop)\\n\\n # Run the service loop\\n service.run()\\n\\n # Cleanup the service\\n service.close()\",\n \"def proxy(ctx, port, analytic_addr):\\n proxy_svc = StreamingProxy(\\n name=__name__, port=port, analytic_addr=analytic_addr)\\n sys.exit(proxy_svc.Run())\",\n \"def set_up_stream(self,email,api_key,client_ip,server_IP):\\n try:\\n valid = self.validate.validate_user(email,api_key)\\n if (valid):\\n try:\\n requests.post(f\\\"http://{server_IP}:6000/sensor_off\\\")\\n except:\\n print(\\\"Sensor was not active\\\")\\n try:\\n content = {'email':email,'api_key':api_key}\\n content = json.dumps(content)\\n headers = {\\\"Content-Type\\\":\\\"application/json\\\"}\\n requests.post(f\\\"http://{server_IP}:8000/shutdown_stream\\\", data = content,headers = headers,verify=False)\\n\\n time.sleep(1)\\n except:\\n print(\\\"Video stream was not active\\\")\\n\\n # subprocess.call(['python3', '/home/Project_Group_9/model/video_stream.py', str(client_ip), str(PORT)])\\n # call(f\\\"python3 /home/Project_Group_9/model/video_stream.py {client_ip} {PORT}\\\", shell=True)\\n # run(\\\"/home/Project_Group_9/model/video_stream.py\\\", client_ip, PORT)\\n start_command = f\\\"sudo python3 /home/Project_Group_9/model/video_stream.py {client_ip} {PORT} {server_IP} &\\\"\\n os.system(start_command)\\n time.sleep(5)\\n return json.dumps({'port':PORT, 'server_ip': server_IP})\\n return '', 403\\n except:\\n return '', 500\",\n \"def rtsp(ctx, src, endpoint, verbose):\\n import gi\\n gi.require_version('Gst', '1.0')\\n gi.require_version('GstRtspServer', '1.0')\\n from gi.repository import Gst, GstRtspServer, GObject\\n from ace.rtspserver import GstServer\\n GObject.threads_init()\\n Gst.init(None)\\n\\n if src.isdigit():\\n src = int(src)\\n cap = cv2.VideoCapture(src)\\n cap.set(cv2.CAP_PROP_FRAME_WIDTH, 640)\\n cap.set(cv2.CAP_PROP_FRAME_HEIGHT, 480)\\n\\n server = GstServer(cap, \\\"/{!s}\\\".format(endpoint), verbose)\\n\\n loop = GObject.MainLoop()\\n loop.run()\",\n \"def cli(stage, maas_url, maas_key, debug, output_log):\\n if debug:\\n log.setLevel(logging.DEBUG)\\n detail = {'start': datetime.utcnow().isoformat(), }\\n results = {}\\n log_id = '{}-{}'.format(str(stage), datetime.utcnow().isoformat().replace(':', '_').replace('.', '_'))\\n dt = datetime.utcnow()\\n results['_summary'] = {'start': dt.isoformat()}\\n log.info('Starting to run proces for stage {} with commands: '.format(str(stage), COMMAND_LIST[:stage + 1]))\\n last_status_code = 0\\n for cmd in COMMAND_LIST[:stage + 1]:\\n if last_status_code == 0:\\n results[cmd] = timed_cmd('{}'.format(cmd))\\n last_status_code = results[cmd].get('return_code', 0)\\n elapsed = (datetime.utcnow() - dt).total_seconds()\\n results['_summary']['elapsed'] = elapsed\\n if output_log:\\n if not os.path.isdir('log'):\\n os.makedirs('log')\\n if not os.path.isdir('log/{}'.format(str(stage))):\\n os.makedirs('log/{}'.format(str(stage)))\\n with open('log/{}/{}.json'.format(str(stage), log_id), 'w') as f:\\n f.write(json.dumps(results))\\n if results:\\n log.info('')\\n log.info(' started - cmd - elapsed')\\n for k, v in results.items():\\n log.info('{} - {} - {} seconds'.format(v.get('start'), k, v.get('elapsed')))\",\n \"def __init__(self, testing=False):\\n self.write_role = conf.db.write_role\\n self.conn = psy.connect(\\n database=conf.db.db_name,\\n user=conf.db.user,\\n password=conf.db.pw,\\n host=conf.db.host,\\n port=conf.db.port,\\n )\\n self.testing = testing\\n #TODO: update the schemas to include annotation tables\\n self.schemas = {\\\"raw\\\":\\n {\\\"cameras\\\":\\n ((\\n \\\"id\\\",\\n \\\"site_name\\\",\\n \\\"object_id\\\",\\n \\\"cctv_id\\\",\\n \\\"location\\\",\\n \\\"kota\\\",\\n \\\"kota_en\\\",\\n \\\"kecamatan\\\",\\n \\\"kelurahan\\\",\\n \\\"versi\\\",\\n \\\"lattitude\\\",\\n \\\"longitude\\\",\\n \\\"url\\\",\\n \\\"fps\\\",\\n \\\"height\\\",\\n \\\"width\\\"\\n ),\\n (\\n \\\"uuid\\\",\\n \\\"varchar(64)\\\",\\n \\\"integer\\\",\\n \\\"integer\\\",\\n \\\"varchar(64)\\\",\\n \\\"varchar(32)\\\",\\n \\\"varchar(32)\\\",\\n \\\"varchar(32)\\\",\\n \\\"varchar(32)\\\",\\n \\\"varchar(16)\\\",\\n \\\"float\\\",\\n \\\"float\\\",\\n \\\"varchar(128)\\\",\\n \\\"integer\\\",\\n \\\"integer\\\",\\n \\\"integer\\\"\\n )),\\n \\\"video_metadata\\\":\\n ((\\n \\\"id\\\",\\n \\\"file_md5_chunk_7mb\\\",\\n \\\"file_name\\\",\\n \\\"camera_id\\\",\\n \\\"time_start_subtitles\\\",\\n \\\"time_end_subtitles\\\",\\n \\\"file_location\\\",\\n \\\"file_path\\\"\\n ),\\n (\\n \\\"uuid\\\",\\n \\\"varchar(32)\\\",\\n \\\"varchar(256)\\\",\\n \\\"uuid\\\",\\n \\\"varchar(32)\\\",\\n \\\"varchar(32)\\\",\\n \\\"varchar(8)\\\",\\n \\\"varchar(256)\\\"\\n )),\\n \\\"subtitles\\\":\\n ((\\n \\\"video_id\\\",\\n \\\"subtitle_number\\\",\\n \\\"display_time_start\\\",\\n \\\"display_time_end\\\",\\n \\\"subtitle_text\\\"\\n ),\\n (\\n \\\"uuid\\\",\\n \\\"integer\\\",\\n \\\"varchar(16)\\\",\\n \\\"varchar(16)\\\",\\n \\\"varchar(32)\\\"\\n )),\\n \\\"packet_stats\\\":\\n ((\\n \\\"video_id\\\",\\n \\\"pts_time\\\",\\n \\\"dts_time\\\",\\n \\\"size\\\",\\n \\\"pos\\\",\\n \\\"flags\\\"\\n ),\\n (\\n \\\"uuid\\\",\\n \\\"varchar(16)\\\",\\n \\\"varchar(16)\\\",\\n \\\"varchar(16)\\\",\\n \\\"varchar(16)\\\",\\n \\\"varchar(16)\\\"\\n )),\\n \\\"frame_stats\\\":\\n ((\\n \\\"video_id\\\",\\n \\\"key_frame\\\",\\n \\\"pkt_pts_time\\\",\\n \\\"pkt_dts_time\\\",\\n \\\"best_effort_timestamp_time\\\",\\n \\\"pkt_size\\\",\\n \\\"pict_type\\\",\\n \\\"coded_picture_number\\\",\\n ),\\n (\\n \\\"uuid\\\",\\n \\\"varchar(16)\\\",\\n \\\"varchar(16)\\\",\\n \\\"varchar(16)\\\",\\n \\\"varchar(16)\\\",\\n \\\"integer\\\",\\n \\\"char(1)\\\",\\n \\\"integer\\\"\\n ))\\n },\\n \\\"main\\\": {\\n \\\"db_failures\\\":\\n ((\\n \\\"time\\\",\\n \\\"description\\\"\\n ),\\n (\\n \\\"varchar(32)\\\",\\n \\\"json\\\"\\n ))\\n },\\n \\\"results\\\": {\\n \\\"models\\\":\\n ((\\n \\\"model_number\\\",\\n \\\"pipeline_config\\\",\\n \\\"datetime_created\\\",\\n ),(\\n \\\"integer\\\",\\n \\\"json\\\",\\n \\\"timestamp NULL DEFAULT Now()\\\",\\n )),\\n \\\"box_motion\\\":\\n ((\\n \\\"model_number\\\",\\n \\\"video_id\\\",\\n \\\"video_file_name\\\",\\n \\\"frame_number\\\",\\n \\\"mean_x\\\",\\n \\\"mean_y\\\",\\n \\\"mean_delta_x\\\",\\n \\\"mean_delta_y\\\",\\n \\\"magnitude\\\",\\n \\\"angle_from_vertical\\\",\\n \\\"box_id\\\",\\n \\\"datetime_created\\\",\\n ),(\\n \\\"integer\\\",\\n \\\"uuid\\\",\\n \\\"varchar(256)\\\",\\n \\\"integer\\\",\\n \\\"double precision\\\",\\n \\\"double precision\\\",\\n \\\"double precision\\\",\\n \\\"double precision\\\",\\n \\\"double precision\\\",\\n \\\"double precision\\\",\\n \\\"integer\\\",\\n \\\"timestamp NULL DEFAULT Now()\\\",\\n )),\\n \\\"boxes\\\":\\n ((\\n \\\"model_number\\\",\\n \\\"video_id\\\",\\n \\\"video_file_name\\\",\\n \\\"frame_number\\\",\\n \\\"xtl\\\",\\n \\\"ytl\\\",\\n \\\"xbr\\\",\\n \\\"ybr\\\",\\n \\\"objectness\\\",\\n \\\"pedestrian\\\",\\n \\\"bicycle\\\",\\n \\\"car\\\",\\n \\\"motorbike\\\",\\n \\\"bus\\\",\\n \\\"train\\\",\\n \\\"truck\\\",\\n \\\"semantic_segment_bottom_edge_mode\\\",\\n \\\"box_id\\\",\\n \\\"datetime_created\\\",\\n ),\\n (\\n \\\"integer\\\",\\n \\\"uuid\\\",\\n \\\"varchar(256)\\\",\\n \\\"int4\\\",\\n \\\"float8\\\",\\n \\\"float8\\\",\\n \\\"float8\\\",\\n \\\"float8\\\",\\n \\\"float8\\\",\\n \\\"float8\\\",\\n \\\"float8\\\",\\n \\\"float8\\\",\\n \\\"float8\\\",\\n \\\"float8\\\",\\n \\\"float8\\\",\\n \\\"float8\\\",\\n \\\"varchar(32)\\\",\\n \\\"integer\\\",\\n \\\"timestamp NULL DEFAULT Now()\\\",\\n )),\\n \\\"frame_stats\\\":\\n ((\\n \\\"model_number\\\",\\n \\\"video_id\\\",\\n \\\"video_file_name\\\",\\n \\\"frame_number\\\",\\n \\\"pedestrian_counts\\\",\\n \\\"bicycle_counts\\\",\\n \\\"car_counts\\\",\\n \\\"motorbike_counts\\\",\\n \\\"bus_counts\\\",\\n \\\"train_counts\\\",\\n \\\"truck_counts\\\",\\n \\\"pedestrian_sums\\\",\\n \\\"bicycle_sums\\\",\\n \\\"car_sums\\\",\\n \\\"motorbike_sums\\\",\\n \\\"bus_sums\\\",\\n \\\"train_sums\\\",\\n \\\"truck_sums\\\",\\n \\\"datetime_created\\\",\\n ),\\n (\\n \\\"integer\\\",\\n \\\"uuid\\\",\\n \\\"varchar(256)\\\",\\n \\\"integer\\\",\\n \\\"double precision\\\",\\n \\\"double precision\\\",\\n \\\"double precision\\\",\\n \\\"double precision\\\",\\n \\\"double precision\\\",\\n \\\"double precision\\\",\\n \\\"double precision\\\",\\n \\\"double precision\\\",\\n \\\"double precision\\\",\\n \\\"double precision\\\",\\n \\\"double precision\\\",\\n \\\"double precision\\\",\\n \\\"double precision\\\",\\n \\\"double precision\\\",\\n \\\"timestamp NULL DEFAULT Now()\\\",\\n ))\\n }\\n }\",\n \"def main():\\n cli = CommandLineInterface(NAME, package=\\\"nemo_nowcast\\\", description=__doc__)\\n cli.build_parser()\\n parsed_args = cli.parser.parse_args()\\n config = Config()\\n config.load(parsed_args.config_file)\\n msg = _configure_logging(config)\\n logger.info(f\\\"running in process {os.getpid()}\\\")\\n logger.info(f\\\"read config from {config.file}\\\")\\n logger.info(msg)\\n run(config)\",\n \"def setup_stream_listener(self):\\n listener = Listener()\\n listener.set_callback(self.mq.producer.publish)\\n self.stream = tweepy.Stream(\\n self.config.get('twitter', 'userid'),\\n self.config.get('twitter', 'password'),\\n listener,\\n timeout=3600\\n )\",\n \"def main():\\n\\tif not len(sys.argv) in (3, 4):\\n\\t\\tprint \\\"usage: nowplaying \\\\\\\"Interpreter\\\\\\\" \\\\\\\"Title\\\\\\\" [\\\\\\\"link\\\\\\\"]\\\"\\n\\t\\tsys.exit(1)\\n\\tinterpreter = sys.argv[1]\\n\\ttitle = sys.argv[2]\\n\\tif len(sys.argv) == 4:\\n\\t\\tlink = sys.argv[3]\\n\\telse:\\n\\t\\tlink = None\\n\\t\\n\\tclient = NowPlayingClient(APIKEY)\\n\\tret = client.sendTrack(interpreter, title, link)\\n\\tif ret == \\\"Done.\\\\n\\\":\\n\\t\\tsys.exit(0)\\n\\telse:\\n\\t\\t# some debugging\\n\\t\\tprint \\\"ERROR!\\\\nServer response below:\\\\n\\\\n--BEGIN SERVER RESPONSE--\\\"\\n\\t\\tprint ret\\n\\t\\tprint \\\"--END SERVER RESPONSE--\\\"\\n\\t\\tsys.exit(1)\",\n \"def __init__(self, bayesdb_host='127.0.0.1', bayesdb_port=8008):\\n self.hostname = bayesdb_host\\n self.port = bayesdb_port\\n self.URI = 'http://' + self.hostname + ':%d' % self.port\\n self.call_id = 0\\n print(\\\"NOTES:\\\")\\n print(\\\"- Currently does not support interactive queries, thus all y/n prompts will be\\\\n\\\"\\n \\\"ignored. *Do not press return unless you mean it.*\\\")\\n print(\\\"- The client will not notify you when asynchronous ANALYZE commands have completed.\\\")\",\n \"def main():\\n client = axiothea_client.Client()\\n server = axiothea_server.Server()\\n edge_server = axiothea_server.Server\\n edge_client = axiothea_edge.Client\\n server.run(client, edge_server, edge_client)\",\n \"def execute(self):\\n return LOGGER.info(f\\\"{datetime.datetime.now()} - Sending message to Kafka for visualizing\\\")\",\n \"def run(self):\\n self.sock = self.set_up_socket()\\n if self.output_file is None:\\n cv2.namedWindow('Video Preview')\\n else:\\n self.video_writer = cv2.VideoWriter(self.output_file, \\n self.output_format, \\n self.fps, \\n self.output_size\\n )\\n start_time = time.time()\\n self.loop()\\n run_time = time.time() - start_time\\n self.output_statistics(run_time)\\n self.cleanup()\",\n \"def TweetsRealTime(dbname, user, password, table_name, APP_KEY, APP_SECRET, OAUTH_TOKEN, OAUTH_TOKEN_SECRET, loop_gathering = False, search_terms = [\\\"Happy\\\"]):\\n try:\\n \\\"\\\"\\\"Be careful with the following global variables. They are necessary to make this script run from the main function\\n This is because Twython streamer does not allow other inputs.\\n If you run this script stand-alone you can safely remove the globals and it will still work.\\\"\\\"\\\"\\n global con \\n con = psycopg2.connect(\\\"dbname = {} user = {} password = {}\\\".format(dbname,user,password))\\n global cur\\n cur = con.cursor()\\n global tablename\\n tablename = table_name\\n print \\\"Connected\\\"\\n except:\\n print \\\"Database connection error\\\" \\n \\n try:\\n stream = MyStreamer(APP_KEY, APP_SECRET,OAUTH_TOKEN, OAUTH_TOKEN_SECRET)\\n print 'Connecting to twitter: will take a minute'\\n except ValueError:\\n con.close()\\n cur.close()\\n print 'Something went wrong while making connection with Twitter: '+str(ValueError)\\n\\n try:\\n stream.statuses.filter(track = search_terms) \\n except:\\n # Shortcut to restarting the script - if the connection cancels then it gracefully terminates the db lock and establishes a new connection\\n cur.close\\n con.close \\n print \\\"########### Stream terminated ###########\\\"\\n if loop_gathering != False:\\n TweetsRealTime(dbname = dbname,\\n user = user,\\n password = password,\\n table_name = table_name,\\n search_terms = search_terms,\\n APP_KEY = APP_KEY,\\n APP_SECRET = APP_SECRET,\\n OAUTH_TOKEN = OAUTH_TOKEN,\\n OAUTH_TOKEN_SECRET = OAUTH_TOKEN_SECRET,\\n loop_gathering = loop_gathering)\",\n \"def local_video(**kwargs):\\n output_dir = run_video_preprocess(\\n video_file=input_video,\\n roi_locations=kwargs[\\\"roi_locations\\\"],\\n preprocess_analysis=kwargs[\\\"preprocess_analysis\\\"],\\n database=False\\n )\\n\\n run_analysis_pipeline(\\n preprocess_analysis=kwargs[\\\"preprocess_analysis\\\"],\\n json_filepath=output_dir,\\n )\",\n \"def run(argv=None):\\n\\n parser = argparse.ArgumentParser()\\n parser.add_argument(\\n '--input_topic', required=True,\\n help='Input PubSub topic of the form \\\"/topics/<PROJECT>/<TOPIC>\\\".')\\n parser.add_argument(\\n '--output_table', required=True,\\n help=\\n ('Output BigQuery table for results specified as: PROJECT:DATASET.TABLE '\\n 'or DATASET.TABLE.'))\\n known_args, pipeline_args = parser.parse_known_args(argv)\\n\\n with beam.Pipeline(argv=pipeline_args) as p:\\n # Read the pubsub topic into a PCollection.\\n lines = ( p | beam.io.ReadStringsFromPubSub(known_args.input_topic)\\n | beam.Map(parse_pubsub)\\n | beam.Map(lambda (mac_bq, status_bq, datetime_bq): {'mac': mac_bq, 'status': status_bq, 'datetime': datetime_bq})\\n | beam.io.WriteToBigQuery(\\n known_args.output_table,\\n schema=' mac:STRING, status:INTEGER, datetime:TIMESTAMP',\\n create_disposition=beam.io.BigQueryDisposition.CREATE_IF_NEEDED,\\n write_disposition=beam.io.BigQueryDisposition.WRITE_APPEND)\\n )\",\n \"def __init__(self, config, *args, **kwargs):\\r\\n super(RivaASRService, self).__init__(config, *args, **kwargs)\\r\\n \\r\\n self.config.setdefault('server', 'localhost:50051')\\r\\n self.config.setdefault('sample_rate', 16000)\\r\\n self.config.setdefault('frame_length', 1.0)\\r\\n self.config.setdefault('request_timeout', 2.0) # how long to wait for new audio to come in\\r\\n self.config.setdefault('response_timeout', 0.05) # how long to wait for results from riva\\r\\n self.config.setdefault('language_code', 'en-US')\\r\\n self.config.setdefault('enable_automatic_punctuation', True)\\r\\n self.config.setdefault('top_k', 1)\\r\\n\\r\\n logging.info(f'Riva ASR service config:\\\\n{self.config}')\\r\\n \\r\\n self.channel = grpc.insecure_channel(self.config.server)\\r\\n self.client = rasr_srv.RivaSpeechRecognitionStub(self.channel)\\r\\n \\r\\n self.recognition_config = rasr.RecognitionConfig(\\r\\n encoding = ra.AudioEncoding.LINEAR_PCM,\\r\\n sample_rate_hertz = self.config.sample_rate,\\r\\n language_code = self.config.language_code,\\r\\n max_alternatives = self.config.top_k,\\r\\n enable_word_time_offsets = True,\\r\\n enable_automatic_punctuation = self.config.enable_automatic_punctuation\\r\\n )\\r\\n\\r\\n self.streaming_config = rasr.StreamingRecognitionConfig(\\r\\n config = self.recognition_config,\\r\\n interim_results = True\\r\\n )\\r\\n \\r\\n self.request_queue = queue.Queue()\\r\\n self.request_queue.put(rasr.StreamingRecognizeRequest(streaming_config=self.streaming_config))\\r\\n \\r\\n self.responses = self.client.StreamingRecognize(self)\\r\\n self.responses_queue = queue.Queue()\\r\\n \\r\\n self.response_thread = threading.Thread(target=self.recieve_responses)\\r\\n self.response_thread.start()\",\n \"def parser_config(p):\\n p.add_argument('--duration',\\n type=float,\\n help='The capture duration.')\\n p.add_argument('--endpoint_id',\\n type=int,\\n default=2,\\n help='The endpoint identifier.')\\n p.add_argument('--threaded', '-t',\\n default=0,\\n action='count',\\n help='Use the threaded wrapper')\\n p.add_argument('filename',\\n help='The filename for output data.')\\n return on_cmd\",\n \"async def start(\\n vast_binary: str,\\n vast_endpoint: str,\\n zmq_endpoint: str,\\n snapshot: int,\\n live_match: bool,\\n retro_match: bool,\\n retro_match_max_events: int,\\n retro_match_timeout: float,\\n max_open_files: int,\\n metrics_interval: int,\\n metrics_filename: str,\\n transform_cmd: str = None,\\n sink: str = None,\\n):\\n global logger, async_tasks, p2p_topic, max_open_tasks, metrics\\n # needs to be created inside the same eventloop where it is used\\n max_open_tasks = asyncio.Semaphore(max_open_files)\\n vast = VAST(binary=vast_binary, endpoint=vast_endpoint, logger=logger)\\n assert await vast.test_connection() is True, \\\"Cannot connect to VAST\\\"\\n\\n logger.debug(f\\\"Calling Threat Bus management endpoint {zmq_endpoint}\\\")\\n reply = subscribe(zmq_endpoint, \\\"stix2/indicator\\\", snapshot)\\n if not reply_is_success(reply):\\n logger.error(\\\"Subscription failed\\\")\\n return\\n pub_endpoint = reply.get(\\\"pub_endpoint\\\", None)\\n sub_endpoint = reply.get(\\\"sub_endpoint\\\", None)\\n topic = reply.get(\\\"topic\\\", None)\\n if not pub_endpoint or not sub_endpoint or not topic:\\n logger.error(\\\"Subscription failed\\\")\\n return\\n logger.info(f\\\"Subscription successful. New p2p_topic: {topic}\\\")\\n if p2p_topic:\\n # The 'start' function is called as result of a restart\\n # Unsubscribe the old topic as soon as we get a working connection\\n logger.info(\\\"Cleaning up old p2p_topic subscription ...\\\")\\n unsubscribe(zmq_endpoint, p2p_topic)\\n atexit.unregister(unsubscribe)\\n p2p_topic = topic\\n atexit.register(unsubscribe, zmq_endpoint, topic)\\n\\n async_tasks.append(\\n asyncio.create_task(heartbeat(zmq_endpoint, p2p_topic, interval=5))\\n )\\n\\n indicator_queue = asyncio.Queue()\\n sightings_queue = asyncio.Queue()\\n async_tasks.append(\\n asyncio.create_task(\\n report_sightings(sub_endpoint, sightings_queue, transform_cmd, sink)\\n )\\n )\\n\\n async_tasks.append(\\n asyncio.create_task(receive(pub_endpoint, p2p_topic, indicator_queue))\\n )\\n\\n async_tasks.append(\\n asyncio.create_task(\\n match_intel(\\n vast_binary,\\n vast_endpoint,\\n indicator_queue,\\n sightings_queue,\\n live_match,\\n retro_match,\\n retro_match_max_events,\\n retro_match_timeout,\\n )\\n )\\n )\\n\\n if retro_match:\\n # add metrics for retro-matching to the metric output\\n metrics += [\\n s_retro_matches_per_ioc,\\n s_retro_query_time_s_per_ioc,\\n g_retro_match_backlog,\\n ]\\n if live_match:\\n # add metrics for live-matching to the metric output\\n metrics.append(g_live_matcher_sightings)\\n async_tasks.append(\\n asyncio.create_task(\\n live_match_vast(vast_binary, vast_endpoint, sightings_queue)\\n )\\n )\\n\\n if metrics_interval:\\n async_tasks.append(\\n asyncio.create_task(write_metrics(metrics_interval, metrics_filename))\\n )\\n\\n loop = asyncio.get_event_loop()\\n for s in [signal.SIGHUP, signal.SIGTERM, signal.SIGINT]:\\n loop.add_signal_handler(s, lambda: asyncio.create_task(stop_signal()))\\n return await asyncio.gather(*async_tasks)\",\n \"def main():\\n args = get_args()\\n\\n levels = [logging.INFO, logging.DEBUG]\\n level = levels[min(len(levels) - 1, args.vlevel)]\\n logging.basicConfig(level=level)\\n\\n config.dry_run = args.dry_run\\n config.adb_batch_size = args.adb_batch_size\\n config.command_batch_size = args.command_batch_size\\n \\n asyncio.run(run(args))\",\n \"def main(keywords_file):\\n try:\\n # prepare credentials for accessing twitter API\\n consumer_key = os.environ.get('CONSUMER_KEY')\\n consumer_secret = os.environ.get('CONSUMER_SECRET')\\n access_token = os.environ.get('ACCESS_TOKEN')\\n access_token_secret = os.environ.get('ACCESS_TOKEN_SECRET')\\n\\n if (consumer_key is None or consumer_secret is None or\\n access_token is None or access_token_secret is None):\\n raise EnvironmentError('Missing twitter API credentials.')\\n api = auth(consumer_key=consumer_key,\\n consumer_secret=consumer_secret,\\n access_token=access_token,\\n access_token_secret=access_token_secret)\\n\\n db_name = os.environ.get('DB_NAME')\\n if db_name is None:\\n raise EnvironmentError('Database name is missing in evn file.')\\n client = pymongo.MongoClient(host='localhost', port=27017,\\n appname=__file__)\\n db = client[db_name]\\n filepath = os.path.basename(keywords_file)\\n input_filename, _ = os.path.splitext(filepath)\\n collection = db[input_filename]\\n\\n twitterStreamListener = TwitterStreamListener(collection=collection)\\n twitterStream = tweepy.Stream(auth=api.auth,\\n listener=twitterStreamListener)\\n\\n keywords = read_keywords_file(filename=keywords_file)\\n logger.info('Streamer App has started listening for keywords: '\\n f'{\\\", \\\".join(keywords)}')\\n twitterStream.filter(track=keywords, is_async=True)\\n except requests.exceptions.HTTPError as e:\\n logger.error(\\\"Checking internet connection failed, \\\"\\n f\\\"status code {e.response.status_code}\\\")\\n except requests.exceptions.ConnectionError:\\n logger.error(\\\"Could not establish a connection.\\\")\\n except (ValueError, TypeError, TweepError, KeyError,\\n EnvironmentError) as e:\\n logger.error(e)\\n except KeyboardInterrupt:\\n logger.info('Program interrupted by user. ')\",\n \"def __do_analysis(self):\\n #Step 1: connect to mongodb and pick a streamer\\n dbclient = db_connect.DBClient()\\n streamer_data = dbclient.analyze_number_of_stream_viewers(self.streamer)\\n streamer_messeges_data = dbclient.analyzeStream(self.streamer)\\n\\n timearr = []\\n messagesarr = []\\n streamer_timearr = []\\n num_chattersarr = []\\n\\n #create time and messages array for plotting purposes\\n for entry in streamer_messeges_data:\\n timearr.append(entry['start_time'])\\n messagesarr.append(entry['messeges_count'] * entry['messeges_count'])\\n #print(entry['start_time'])\\n\\n #create time and chatters array for plotting purposes\\n for entry in streamer_data:\\n streamer_timearr.append(entry['deltatime_from_start_of_clip'])\\n num_chattersarr.append(entry['num_viewers'])\\n\\n # print('start time: ' + str(timearr[0]))\\n # print('end time: ' + str(timearr[-1]))\\n # print('duration: ' + str(timearr[-1] - timearr[0]))\\n # print('average views/min = ' + str(sum(messagesarr) / len(messagesarr)))\\n\\n average_message_count = sum(messagesarr) / len(messagesarr)\\n\\n averagearr = []\\n plotting_time_arr = []\\n labelarr = []\\n\\n for i in range(len(timearr)):\\n averagearr.append(average_message_count*1.8)\\n #print(str(timearr[i]) + ' converts to ' + str(datetime.datetime(2020, 1, 1, 0, 0) + timearr[i]))\\n plotting_time_arr.append(datetime.datetime(2020, 1, 1, 0, 0) + timearr[i])\\n labelarr.append(str(i))\\n\\n plotting_streamer_timearr = []\\n for i in range(len(streamer_timearr)):\\n plotting_streamer_timearr.append(datetime.datetime(2020, 1, 1, 0, 0) + streamer_timearr[i])\\n\\n #plot messages and cuttoff\\n messeges_over_time_fig = pyplot.figure(1)\\n messeges_over_time_fig.set_figheight(15)\\n messeges_over_time_fig.set_figwidth(30)\\n messeges_over_time_fig.suptitle(self.streamer + \\\"'s video data\\\")\\n messeges_over_time_sub = messeges_over_time_fig.add_subplot(211)\\n\\n pyplot.plot(plotting_time_arr,messagesarr,label='messages/min')\\n dots = pyplot.plot(plotting_time_arr,messagesarr,'bo',label='messages/min')\\n\\n #label dots\\n count = 0\\n last_entry_was_above_line = False\\n for i in range(len(plotting_time_arr)):\\n #print(str(count) +': comparing ' + str(messagesarr[i]) + ' with ' + str(averagearr[i]))\\n if(messagesarr[i] > averagearr[i]):\\n if(last_entry_was_above_line):\\n #Don't increment the count because this is part of the same clip\\n count = count\\n else:\\n #new clip above the line, increment clip count\\n count = count + 1\\n messeges_over_time_sub.annotate(count,xy=(plotting_time_arr[i],messagesarr[i]))\\n last_entry_was_above_line = True\\n else:\\n last_entry_was_above_line = False\\n # messeges_over_time_sub.annotate('NA',xy=(plotting_time_arr[i],messagesarr[i]))\\n\\n #finish plotting\\n pyplot.plot(plotting_time_arr, averagearr,'',label='average')\\n pyplot.gcf().autofmt_xdate()\\n pyplot.ylabel('Messeges*Messeges')\\n pyplot.xlabel('Time')\\n\\n viewers_over_time_sub = messeges_over_time_fig.add_subplot(212)\\n\\n pyplot.plot(plotting_streamer_timearr,num_chattersarr,label='num chatters')\\n pyplot.ylabel('Chatters')\\n pyplot.xlabel('Time')\\n\\n pyplot.tight_layout()\\n pyplot.savefig(output_file_location+self.streamer+'.png')\\n print('saved chart to ' + output_file_location+self.streamer+'.png')\\n # pyplot.show()\\n return average_message_count, streamer_messeges_data\",\n \"async def connect_and_listen(spa_host):\\n spa = balboa.BalboaSpaWifi(spa_host)\\n await spa.connect()\\n\\n print(\\\"Asking for base config\\\")\\n await spa.send_config_req()\\n msg = await spa.read_one_message()\\n print(\\\"Got msg: {0}\\\".format(msg.hex()))\\n (mac, pump_array, light_array) = spa.parse_config_resp(msg)\\n print(\\\"Mac Addr: \\\" + mac)\\n print(\\\"Pump Array: {0}\\\".format(str(pump_array)))\\n print(\\\"Light Array: {0}\\\".format(str(light_array)))\\n\\n print(\\\"Asking for panel config\\\")\\n await spa.send_panel_req(0, 1)\\n msg = await spa.read_one_message()\\n print(\\\"Got msg: {0}\\\".format(msg.hex()))\\n spa.parse_panel_config_resp(msg)\\n if spa.config_loaded:\\n print('Pump Array: {0}'.format(str(spa.pump_array)))\\n print('Light Array: {0}'.format(str(spa.light_array)))\\n print('Aux Array: {0}'.format(str(spa.aux_array)))\\n print('Circulation Pump: {0}'.format(spa.circ_pump))\\n print('Blower: {0}'.format(spa.blower))\\n print('Mister: {0}'.format(spa.mister))\\n else:\\n print('Config not loaded, something is wrong!')\\n return 1\\n\\n print(\\\"Sending unknown commands\\\")\\n await spa.send_panel_req(2, 0)\\n msg = await spa.read_one_message()\\n print(\\\"Got msg: {0}\\\".format(msg.hex()))\\n spa.parse_noclue1(msg)\\n print('Model: {0}'.format(spa.model_name))\\n print('Software Version: {0}'.format(spa.sw_vers))\\n print('Configuration Signature: {0}'.format(spa.cfg_sig))\\n print('Setup Mode: {0}'.format(str(spa.setup)))\\n print('Software Version ID: {0}'.format(spa.ssid))\\n\\n await spa.send_panel_req(4, 0)\\n for i in range(0, 4):\\n msg = await spa.read_one_message()\\n print(\\\"Got msg: {0}\\\".format(msg.hex()))\\n print(\\\"Please add this section to issue:\\\")\\n print(\\\"https://github.com/garbled1/pybalboa/issues/1\\\")\\n\\n await spa.disconnect()\\n return 0\",\n \"def main():\\n utils.vip_main(peakShaverAgent, \\n version=__version__)\",\n \"def process_video(proc_state):\\n entry = proc_state.entry\\n workbench = proc_state.workbench\\n video_config = mgg.global_config['media_type:mediagoblin.media_types.video']\\n\\n queued_filepath = entry.queued_media_file\\n queued_filename = proc_state.get_queued_filename()\\n name_builder = FilenameBuilder(queued_filename)\\n\\n medium_filepath = create_pub_filepath(\\n entry, name_builder.fill('{basename}-640p.webm'))\\n\\n thumbnail_filepath = create_pub_filepath(\\n entry, name_builder.fill('{basename}.thumbnail.jpg'))\\n\\n # Create a temporary file for the video destination (cleaned up with workbench)\\n tmp_dst = NamedTemporaryFile(dir=workbench.dir, delete=False)\\n with tmp_dst:\\n # Transcode queued file to a VP8/vorbis file that fits in a 640x640 square\\n progress_callback = ProgressCallback(entry)\\n\\n dimensions = (\\n mgg.global_config['media:medium']['max_width'],\\n mgg.global_config['media:medium']['max_height'])\\n\\n # Extract metadata and keep a record of it\\n metadata = transcoders.VideoTranscoder().discover(queued_filename)\\n store_metadata(entry, metadata)\\n\\n # Figure out whether or not we need to transcode this video or\\n # if we can skip it\\n if skip_transcode(metadata):\\n _log.debug('Skipping transcoding')\\n\\n dst_dimensions = metadata['videowidth'], metadata['videoheight']\\n\\n # Push original file to public storage\\n _log.debug('Saving original...')\\n proc_state.copy_original(queued_filepath[-1])\\n\\n did_transcode = False\\n else:\\n transcoder = transcoders.VideoTranscoder()\\n\\n transcoder.transcode(queued_filename, tmp_dst.name,\\n vp8_quality=video_config['vp8_quality'],\\n vp8_threads=video_config['vp8_threads'],\\n vorbis_quality=video_config['vorbis_quality'],\\n progress_callback=progress_callback,\\n dimensions=dimensions)\\n\\n dst_dimensions = transcoder.dst_data.videowidth,\\\\\\n transcoder.dst_data.videoheight\\n\\n # Push transcoded video to public storage\\n _log.debug('Saving medium...')\\n mgg.public_store.copy_local_to_storage(tmp_dst.name, medium_filepath)\\n _log.debug('Saved medium')\\n\\n entry.media_files['webm_640'] = medium_filepath\\n\\n did_transcode = True\\n\\n # Save the width and height of the transcoded video\\n entry.media_data_init(\\n width=dst_dimensions[0],\\n height=dst_dimensions[1])\\n\\n # Temporary file for the video thumbnail (cleaned up with workbench)\\n tmp_thumb = NamedTemporaryFile(dir=workbench.dir, suffix='.jpg', delete=False)\\n\\n with tmp_thumb:\\n # Create a thumbnail.jpg that fits in a 180x180 square\\n transcoders.VideoThumbnailerMarkII(\\n queued_filename,\\n tmp_thumb.name,\\n 180)\\n\\n # Push the thumbnail to public storage\\n _log.debug('Saving thumbnail...')\\n mgg.public_store.copy_local_to_storage(tmp_thumb.name, thumbnail_filepath)\\n entry.media_files['thumb'] = thumbnail_filepath\\n\\n # save the original... but only if we did a transcoding\\n # (if we skipped transcoding and just kept the original anyway as the main\\n # media, then why would we save the original twice?)\\n if video_config['keep_original'] and did_transcode:\\n # Push original file to public storage\\n _log.debug('Saving original...')\\n proc_state.copy_original(queued_filepath[-1])\\n\\n # Remove queued media file from storage and database\\n proc_state.delete_queue_file()\",\n \"def media_to_chromecast_command(\\n media=None,\\n type=\\\"LOAD\\\", # pylint: disable=redefined-builtin\\n requestId=1,\\n offset=0,\\n directPlay=True,\\n directStream=True,\\n subtitleSize=100,\\n audioBoost=100,\\n transcoderVideo=True,\\n transcoderVideoRemuxOnly=False,\\n transcoderAudio=True,\\n isVerifiedHostname=True,\\n contentType=\\\"video\\\",\\n myPlexSubscription=True,\\n contentId=None,\\n streamType=STREAM_TYPE_BUFFERED,\\n port=32400,\\n protocol=\\\"http\\\",\\n address=None,\\n username=None,\\n autoplay=True,\\n currentTime=0,\\n playQueue=None,\\n playQueueID=None,\\n startItem=None,\\n version=\\\"1.10.1.4602\\\",\\n **kwargs,\\n): # pylint: disable=invalid-name, too-many-locals, protected-access\\n\\n if media is not None:\\n # Lets set some params for the user if they use plexapi.\\n server = media[0]._server if isinstance(media, list) else media._server\\n server_url = urlparse(server._baseurl)\\n protocol = server_url.scheme\\n address = server_url.hostname\\n port = server_url.port\\n machineIdentifier = server.machineIdentifier\\n token = server._token\\n username = server.myPlexUsername\\n myPlexSubscription = server.myPlexSubscription\\n\\n if getattr(media, \\\"TYPE\\\", None) == \\\"playqueue\\\":\\n if startItem:\\n media = media.items\\n else:\\n playQueue = media\\n\\n if playQueue is None:\\n playQueue = server.createPlayQueue(media, startItem=startItem)\\n\\n playQueueID = playQueue.playQueueID\\n contentId = playQueue.selectedItem.key\\n contentType = playQueue.items[0].listType\\n version = server.version\\n\\n # Chromecasts seem to start playback 5 seconds before the offset.\\n if offset != 0:\\n currentTime = offset\\n\\n msg = {\\n \\\"type\\\": type,\\n \\\"requestId\\\": requestId,\\n \\\"media\\\": {\\n \\\"contentId\\\": contentId,\\n \\\"streamType\\\": streamType,\\n \\\"contentType\\\": contentType,\\n \\\"customData\\\": {\\n \\\"offset\\\": offset,\\n \\\"directPlay\\\": directPlay,\\n \\\"directStream\\\": directStream,\\n \\\"subtitleSize\\\": subtitleSize,\\n \\\"audioBoost\\\": audioBoost,\\n \\\"server\\\": {\\n \\\"machineIdentifier\\\": machineIdentifier,\\n \\\"transcoderVideo\\\": transcoderVideo,\\n \\\"transcoderVideoRemuxOnly\\\": transcoderVideoRemuxOnly,\\n \\\"transcoderAudio\\\": transcoderAudio,\\n \\\"version\\\": version,\\n \\\"myPlexSubscription\\\": myPlexSubscription,\\n \\\"isVerifiedHostname\\\": isVerifiedHostname,\\n \\\"protocol\\\": protocol,\\n \\\"address\\\": address,\\n \\\"port\\\": port,\\n \\\"accessToken\\\": token,\\n \\\"user\\\": {\\\"username\\\": username},\\n },\\n \\\"containerKey\\\": f\\\"/playQueues/{playQueueID}?own=1&window=200\\\",\\n },\\n \\\"autoplay\\\": autoplay,\\n \\\"currentTime\\\": currentTime,\\n \\\"activeTrackIds\\\": None,\\n },\\n }\\n\\n # Allow passing of kwargs to the dict.\\n msg.update(kwargs)\\n\\n return msg\",\n \"def main():\\n client = mqtt.Client('kj-relayr') # Create client. The parameter is our client-id\\n\\n # Callback is attached by assigning it to on_message attribute of client.\\n # From now on our on_message function will\\n client.on_message = on_message\\n\\n # Connect to the broker - we pass host and port (port is optional).\\n client.connect(BROKER_HOST, BROKER_PORT)\\n\\n # Start the network loop. Without that the client won't be able to receive messages.\\n # Internally it starts separate thread of execution in which all the incoming messages\\n # are processed.\\n client.loop_start()\\n\\n # Subscribe to relayr/test topic\\n result, mid = client.subscribe('relayr/test')\\n\\n # Methods that publish/subscribe return result (status code) indicating if operation succeeded (result=0) or not\\n # as well as message id. This message id can be used for tracking purposes.\\n print(f'Result: {result}, message_id: {mid}')\\n\\n # Publish message to the same topic\\n client.publish('relayr/test', 'test message')\\n\\n # It takes nonzero time before broker receives message and propagates it to subscribed clients.\\n # Therefore we artificially stop execution for a second for it to happen. During this time,\\n # our client should receive the message and we should see it printed to stdout.\\n time.sleep(1)\\n\\n # Disconnect from the broker.\\n client.disconnect()\\n\\n # Stop the event loop. This will shut the background thread down.\\n client.loop_stop()\",\n \"def main(base_url, pact_url, pact_urls, states_url,\\n states_setup_url, username, password, timeout, provider_app_version,\\n publish_verification_results): # NOQA\\n error = click.style('Error:', fg='red')\\n warning = click.style('Warning:', fg='yellow')\\n all_pact_urls = list(pact_url)\\n for urls in pact_urls: # Remove in major version 1.0.0\\n all_pact_urls.extend(p for p in urls.split(',') if p)\\n\\n if len(pact_urls) > 1:\\n click.echo(\\n warning\\n + ' Multiple --pact-urls arguments are deprecated. '\\n 'Please provide a comma separated list of pacts to --pact-urls, '\\n 'or multiple --pact-url arguments.')\\n\\n if not all_pact_urls:\\n click.echo(\\n error\\n + ' At least one of --pact-url or --pact-urls is required.')\\n raise click.Abort()\\n\\n missing_files = [path for path in all_pact_urls if not path_exists(path)]\\n if missing_files:\\n click.echo(\\n error\\n + ' The following Pact files could not be found:\\\\n'\\n + '\\\\n'.join(missing_files))\\n raise click.Abort()\\n\\n options = {\\n '--provider-base-url': base_url,\\n '--pact-urls': ','.join(all_pact_urls),\\n '--provider-states-setup-url': states_setup_url,\\n '--broker-username': username,\\n '--broker-password': password\\n }\\n command = [VERIFIER_PATH] + [\\n '{}={}'.format(k, v) for k, v in options.items() if v]\\n if publish_verification_results:\\n if not provider_app_version:\\n click.echo(\\n error\\n + 'Provider application version is required '\\n + 'to publish verification results to broker'\\n )\\n raise click.Abort()\\n command.extend([\\\"--provider-app-version\\\",\\n provider_app_version,\\n \\\"--publish-verification-results\\\"])\\n p = subprocess.Popen(command)\\n p.communicate(timeout=timeout)\\n sys.exit(p.returncode)\",\n \"def run(approot, instance):\\n tm_env = appenv.AppEnvironment(approot)\\n publisher = endpoints.EndpointPublisher(tm_env.endpoints_dir,\\n context.GLOBAL.zk.conn,\\n instance=instance)\\n publisher.run()\",\n \"def run(self):\\n for index, playlist_line in enumerate(self.playlist):\\n gv.logger.info(\\\"New video\\\")\\n self.index = index\\n self.video_command = playlist_line.strip(\\\" \\\")\\n gv.logger.info(self.video_command)\\n if gv.api_dm.probe_status == \\\"killed\\\":\\n gv.logger.info(\\\"Exiting playlist\\\")\\n break\\n self.launch_video_process()\\n gv.logger.info(\\\"Finished video\\\")\\n self.finish_playlist()\",\n \"def main():\\n my_painting_mqtt_client = MyPaintingMQTTClient()\\n my_painting_mqtt_client.run_app()\",\n \"def Stream():\\r\\n \\r\\n config = config_create()\\r\\n CONSUMER_KEY = config.get('Auth', 'CONSUMER_KEY') \\r\\n CONSUMER_SECRET = config.get('Auth', 'CONSUMER_SECRET')\\r\\n ACCESS_KEY = config.get('Auth', 'ACCESS_KEY')\\r\\n ACCESS_SECRET = config.get('Auth', 'ACCESS_SECRET')\\r\\n searchterm = config.get('Filter','search')\\r\\n name = multiprocessing.current_process().name\\r\\n \\\"\\\"\\\"Function that will manage doing the twitter stream\\\"\\\"\\\"\\r\\n stream = MyStreamer(CONSUMER_KEY, CONSUMER_SECRET, ACCESS_KEY, ACCESS_SECRET)\\r\\n stream.statuses.filter(track= searchterm)\",\n \"def camera(ctx, cam_id, analytic_addr, width, height):\\n if not analytic_addr:\\n analytic_addr = [\\\"localhost:50051\\\"]\\n db = ctx.obj.db\\n client = aceclient.AnalyticMultiClient()\\n cap = cv2.VideoCapture(int(cam_id))\\n cap.set(cv2.CAP_PROP_FRAME_WIDTH, int(width))\\n cap.set(cv2.CAP_PROP_FRAME_HEIGHT, int(height))\\n classes = {}\\n window_names = []\\n f_req = analytic_pb2.FrameRequest()\\n for a in analytic_addr:\\n analytic = analytic_pb2.AnalyticData()\\n analytic.addr = a\\n f_req.analytics.append(analytic)\\n try:\\n while cap.isOpened():\\n ret, frame = cap.read()\\n if not ret:\\n print(\\\"Stream unavailable. Exiting.\\\")\\n break\\n resp = analytic_pb2.CompositeResults()\\n resp = client.process_frame(frame, f_req, resp)\\n print(len(window_names))\\n render(resp, window_names, classes, frame, db)\\n finally:\\n cv2.destroyAllWindows()\\n print(\\\"Shutting down\\\")\",\n \"def run(config_path, pipeline_config_path=None):\\n clip_config = ModuleConfig.from_json(config_path)\\n etam.setup(clip_config, pipeline_config_path=pipeline_config_path)\\n _clip_videos(clip_config)\",\n \"def test_runner_large_file(caplog, replay_rate):\\n\\n caplog.set_level(logging.INFO)\\n\\n path = 'test_data/test_data.parquet'\\n time_column = 'requesttimestamp'\\n start_date = datetime.datetime(2020, 7, 10, 0, 1, 0)\\n end_date = datetime.datetime(2020, 7, 10, 0, 3, 0)\\n replay_rate = replay_rate\\n bootstrap_servers = 'kafka:9092'\\n topic = 'test_stream_2'\\n\\n logging.debug(\\\"starting\\\")\\n\\n fileconnector = ParquetFileConnector(path=path, time_column=time_column, \\n start_date=start_date, end_date=end_date)\\n\\n fileconnector.startup_checks()\\n\\n publisher = KafkaPublisher(\\n bootstrap_servers=bootstrap_servers,\\n topic=topic\\n )\\n\\n runner = CentralRunner(db_connection=fileconnector, \\n output_system=publisher, \\n start_time=start_date, \\n end_time=end_date,\\n replay_rate=replay_rate )\\n\\n start = time.perf_counter()\\n \\n runner.run()\\n\\n #publisher.close()\\n\\n end = time.perf_counter()\\n\\n code_time = end - start\\n\\n period_duration = (end_date - datetime.timedelta(seconds=replay_rate) - start_date).total_seconds()\\n\\n assert abs(code_time - period_duration/replay_rate) < 1\\n #assert int(code_time) == (end_date - start_date).total_seconds() * replay_rate\",\n \"def run(args):\\n pub_command = []\\n sub_command = []\\n\\n script_dir = os.path.dirname(os.path.realpath(__file__))\\n\\n if not os.path.isfile(args.pub):\\n print(f'Publisher executable file does not exists: {args.pub}')\\n sys.exit(1)\\n\\n if not os.access(args.pub, os.X_OK):\\n print(\\n 'Publisher executable does not have execution permissions:'\\n f'{args.pub}')\\n\\n pub_command.append(args.pub)\\n\\n if not os.path.isfile(args.sub):\\n print(f'Subscriber executable file does not exists: {args.sub}')\\n sys.exit(1)\\n\\n if not os.access(args.sub, os.X_OK):\\n print(\\n 'Subscriber executable does not have execution permissions:'\\n f'{args.sub}')\\n sys.exit(1)\\n\\n sub_command.append(args.sub)\\n\\n if args.xml_pub and args.xml_sub:\\n if args.xml_pub:\\n xml_file_pub = os.path.join(script_dir, args.xml_pub)\\n if args.xml_sub:\\n xml_file_sub = os.path.join(script_dir, args.xml_sub)\\n else:\\n print('Not provided xml configuration files.')\\n sys.exit(1)\\n\\n pub_command.extend(['--xmlfile', xml_file_pub])\\n sub_command.extend(['--xmlfile', xml_file_sub])\\n\\n pub_command.extend(['--seed', str(os.getpid())])\\n sub_command.extend(['--seed', str(os.getpid())])\\n\\n if args.wait:\\n pub_command.extend(['--wait', str(args.wait)])\\n\\n if args.samples:\\n pub_command.extend(['--samples', str(args.samples)])\\n sub_command.extend(['--samples', str(args.samples)])\\n\\n if len(args.servers) != len(args.xml_servers):\\n print(\\n 'Number of servers arguments should be equal to the number of xmls provided.')\\n sys.exit(1)\\n\\n ds_procs = []\\n for i in range(0, len(args.servers)):\\n server_cmd = []\\n\\n if not os.path.isfile(args.servers[i]):\\n print(f'Discovery server executable file does not exists: {args.servers[i]}')\\n sys.exit(1)\\n\\n if not os.access(args.servers[i], os.X_OK):\\n print(\\n 'Discovery server executable does not have execution permissions:'\\n f'{args.servers[i]}')\\n sys.exit(1)\\n\\n server_cmd.append(args.servers[i])\\n server_cmd.extend(['--xml-file', args.xml_servers[i]])\\n server_cmd.extend(['--server-id', str(i)])\\n\\n ds_proc = subprocess.Popen(server_cmd)\\n print(\\n 'Running Discovery Server - commmand: ',\\n ' '.join(map(str, server_cmd)))\\n\\n ds_procs.append(ds_proc)\\n\\n sub_proc = subprocess.Popen(sub_command)\\n print(\\n f'Running Subscriber - commmand: ',\\n ' '.join(map(str, sub_command)))\\n\\n pub_proc = subprocess.Popen(pub_command)\\n print(\\n 'Running Publisher - commmand: ',\\n ' '.join(map(str, pub_command)))\\n\\n try:\\n outs, errs = sub_proc.communicate(timeout=15)\\n except subprocess.TimeoutExpired:\\n print('Subscriber process timed out, terminating...')\\n sub_proc.kill()\\n pub_proc.kill()\\n [ds_proc.kill() for ds_proc in ds_procs]\\n try:\\n sys.exit(os.EX_SOFTWARE)\\n except AttributeError:\\n sys.exit(1)\\n\\n\\n pub_proc.kill()\\n ds_proc.kill()\\n [ds_proc.kill() for ds_proc in ds_procs]\\n try:\\n sys.exit(os.EX_OK)\\n except AttributeError:\\n sys.exit(0)\",\n \"def __init__(__self__, *,\\n access_control: Optional[pulumi.Input['LiveEventPreviewAccessControlArgs']] = None,\\n alternative_media_id: Optional[pulumi.Input[str]] = None,\\n endpoints: Optional[pulumi.Input[Sequence[pulumi.Input['LiveEventEndpointArgs']]]] = None,\\n preview_locator: Optional[pulumi.Input[str]] = None,\\n streaming_policy_name: Optional[pulumi.Input[str]] = None):\\n if access_control is not None:\\n pulumi.set(__self__, \\\"access_control\\\", access_control)\\n if alternative_media_id is not None:\\n pulumi.set(__self__, \\\"alternative_media_id\\\", alternative_media_id)\\n if endpoints is not None:\\n pulumi.set(__self__, \\\"endpoints\\\", endpoints)\\n if preview_locator is not None:\\n pulumi.set(__self__, \\\"preview_locator\\\", preview_locator)\\n if streaming_policy_name is not None:\\n pulumi.set(__self__, \\\"streaming_policy_name\\\", streaming_policy_name)\",\n \"def __init__(self, video_vis, task_queue, result_queue):\\n self.video_vis = video_vis\\n self.task_queue = task_queue\\n self.result_queue = result_queue\\n super().__init__()\",\n \"def send_tweet_with_video(tweet_text, filename, uuid):\\n try:\\n query = {} # API call to twitter-service\\n query['app_name'] = 'webcamd'\\n query['uuid'] = uuid\\n query['tweet_text'] = tweet_text\\n query['hashtag_arg'] = 'metminiwx' # do not supply the #\\n query['lat'] = 51.4151 # Stockcross\\n query['lon'] = -1.3776 # Stockcross\\n query['video_pathname'] = filename\\n\\n status_code, response_dict = cumulus_comms.call_rest_api(get_env.get_twitter_service_endpoint() + '/send_video', query)\\n\\n # print('status_code=' + status_code.__str__())\\n # pprint(response_dict)\\n # if response_dict['status'] == 'OK' and response_dict['tweet_sent'] == True:\\n if response_dict['status'] == 'OK' :\\n tweet_len = response_dict['tweet_len'].__str__()\\n print('Tweet sent OK, tweet_len=' + tweet_len + ', uuid=' + uuid.__str__())\\n else:\\n print(response_dict['status'])\\n\\n except Exception as e:\\n print('Error : send_tweet_with_video() : ' + e.__str__())\",\n \"def handle_message(self, data):\\r\\n print data\\r\\n\\r\\n #video stream starts\\r\\n if data[:13] == 'video_stream:':\\r\\n #port will be between 3000 to 7000\\r\\n port = int(data[13:17])\\r\\n self.partnum = int(data[18:])\\r\\n\\r\\n #creates a video file in cache\\r\\n if not exists(CASHE + movie_name + '\\\\\\\\'):\\r\\n makedirs(CASHE + movie_name + '\\\\\\\\')\\r\\n\\r\\n self.receive = Receiver(port, self.partnum, CASHE + movie_name + '\\\\\\\\')\\r\\n self.receive.start()\\r\\n\\r\\n #upload stream approved\\r\\n elif data[:16] == 'upload_approved:':\\r\\n port = int(data[16:])\\r\\n self.uploader = Uploader(port, upload_path)\\r\\n self.uploader.start()\\r\\n self.upload_num = 1\\r\\n\\r\\n elif data[:6] == 'parts:':\\r\\n if data[6:].isdigit():\\r\\n self.partnum = int(data[6:])\\r\\n\\r\\n elif data[:8] == 'invalid:':\\r\\n self.uploader = None\\r\\n if data[8:] == 'hash':\\r\\n self.upload_num = 2\\r\\n else:\\r\\n self.upload_num = 3\\r\\n\\r\\n print 'invalid upload'\\r\\n\\r\\n elif data == 'vid_not_found':\\r\\n self.partnum = -1\\r\\n print 'could not watch vid'\\r\\n\\r\\n elif data[:8] == 'results:':\\r\\n results = data[8:].split(':<!>:')\\r\\n self.res_list = [['Movie Name', 'views', 'grade']]\\r\\n for i in results:\\r\\n datas = i.split(':!:')\\r\\n self.res_list.append(datas)\\r\\n self.print_results = True\\r\\n '''if results == ['']:\\r\\n self.print_results = False\\r\\n else:\\r\\n self.print_results = True'''\",\n \"def parse_results(rss_results, website, lang, db_collection):\\n\\n #global kafka, producer\\n #global kafkaPool\\n #print website\\n#===============================================================================\\n# if lang == 'english':\\n# goose_extractor = Goose({'use_meta_language': False,\\n# 'target_language': 'en',\\n# 'enable_image_fetching': False})\\n# elif lang == 'arabic':\\n# from goose.text import StopWordsArabic\\n# \\n# goose_extractor = Goose({'stopwords_class': StopWordsArabic,\\n# 'enable_image_fetching': False})\\n# else:\\n# print(lang)\\n#===============================================================================\\n\\n langCode = languageMap.get(lang)\\n if langCode is not None:\\n newspaper_extractor= NewspaperTextExtractor(language=langCode)\\n else:\\n print \\\"ERROR: Extractor for\\\", lang, \\\"is not available\\\";\\n \\n #producer = KafkaProducer(bootstrap_servers='dmlhdpc1')\\n client = SimpleClient('172.29.100.6:9092')\\n producer = SimpleProducer(client)\\n \\n #print \\\"Parsing Results\\\"\\n for result in rss_results:\\n \\n page_url = _convert_url(result.url, website)\\n print page_url\\n in_database = _check_mongo(page_url, db_collection)\\n\\n if not in_database:\\n try:\\n text, meta = pages_scrape.scrape(page_url, newspaper_extractor)\\n text = text.encode('utf-8')\\n #print meta\\n except TypeError:\\n logger.warning('Problem obtaining text from URL: {}'.format(page_url))\\n text = ''\\n except UnicodeDecodeError:\\n logger.warning('Unicode Decoding Issue in URL: {}'.format(page_url))\\n text = ''\\n else:\\n logger.debug('Result from {} already in database'.format(page_url))\\n text = ''\\n\\n if text:\\n #print \\\"Adding Document\\\"\\n cleaned_text = _clean_text(text, website)\\n\\n entry_id = mongo_connection.add_entry(db_collection, cleaned_text,\\n result.title, result.url,\\n result.date, website, lang)\\n \\n jsonData = {\\\"url\\\": result.url,\\n \\\"title\\\": result.title,\\n \\\"source\\\": website,\\n \\\"date\\\": result.date,\\n \\\"date_added\\\": datetime.datetime.utcnow(),\\n \\\"content\\\": cleaned_text,\\n \\\"stanford\\\": 0,\\n \\\"language\\\": lang,\\n \\\"processed\\\": \\\"False\\\",\\n \\\"mongo_id\\\": str(entry_id),\\n \\\"type\\\": \\\"story\\\"}\\n doc = convert_to_SGML(jsonData)\\n# print \\\"#######TEST\\\"\\n# located_keys = locateKeyWords(cleaned_text, keywords)\\n# print located_keys\\n# located_discards = locateKeyWords(cleaned_text, discard_list)\\n# print located_discards\\n# # kafkaMessenger = kafkaPool.take()\\n# print \\\"TAKEN\\\"\\n# kafkaMessenger.send(doc.encode('utf-8'))\\n# kafkaPool.give_back(kafkaMessenger)\\n producer.send_messages(\\\"test\\\", str(entry_id)+\\\"#\\\"+doc.encode('utf-8'))\\n #print \\\"Message Sent\\\"\\n #producer.send_messages('test', doc.encode(\\\"utf-8\\\"))\\n\\n# #====================\\n# doc_file = open(\\\"Output/\\\" + str(entry_id) + \\\".txt\\\", \\\"w\\\")\\n# doc_file.write(doc.encode(\\\"utf-8\\\"))\\n# doc_file.flush()\\n# doc_file.close()\\n# #====================`\\n if entry_id:\\n try:\\n logger.info('Added entry from {} with id {}'.format(page_url,\\n entry_id))\\n except UnicodeDecodeError:\\n logger.info('Added entry from {}. Unicode error for id'.format(result.url))\\n\\n client.close()\",\n \"def main() -> None:\\r\\n parser = argparse.ArgumentParser(description='Recommender Room',\\r\\n prefix_chars='-')\\r\\n \\r\\n parser.add_argument('-v', '--verbose', required=False, action='store_true',\\r\\n help='display additional information to the terminal')\\r\\n \\r\\n parser.add_argument('-o', '--host', required=False, default=rec.HOST,\\r\\n help='select hostname or IP address for the web application')\\r\\n \\r\\n parser.add_argument('-p', '--port', type=int, required=False, default=rec.PORT,\\r\\n help='select port for the web application')\\r\\n \\r\\n parser.add_argument('-cfg', '--configuration', dest='config', required=False,\\r\\n choices=CONFIG_CHOICES, default='debug', \\r\\n help='set the appropriate configuration settings for the web application')\\r\\n \\r\\n args = parser.parse_args() \\r\\n rec_api.start_server(args)\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.5585309","0.52380216","0.5229384","0.52075493","0.51906437","0.51906437","0.5142656","0.51353914","0.51277053","0.5063001","0.5056543","0.50216717","0.50200486","0.49780482","0.4960555","0.49345553","0.49277937","0.49211228","0.49086675","0.4890077","0.4876336","0.48757342","0.48750037","0.48631293","0.48403287","0.47860673","0.47828436","0.47788966","0.47544405","0.47522974","0.4744782","0.4742926","0.47271714","0.47222316","0.47022468","0.46984354","0.46894002","0.46696225","0.46692666","0.4657751","0.46489972","0.46371388","0.4624532","0.4622997","0.46154788","0.4610766","0.4607475","0.46062353","0.4606006","0.45918435","0.45887634","0.45833042","0.45796737","0.4579537","0.45779425","0.45747545","0.45649543","0.45597985","0.4556016","0.45486823","0.45486638","0.45450407","0.45449","0.45427358","0.45424002","0.45408398","0.45399526","0.45371395","0.45345002","0.45280522","0.4524497","0.45201194","0.4478937","0.44760883","0.44724312","0.44711956","0.4457348","0.44553277","0.4453386","0.44517612","0.44453806","0.44447386","0.44341573","0.44255725","0.44241002","0.4422158","0.4418112","0.44144943","0.44081497","0.44056845","0.44042572","0.44039294","0.4394228","0.43911573","0.43903577","0.43798226","0.43774888","0.43752605","0.4367737","0.4365463"],"string":"[\n \"0.5585309\",\n \"0.52380216\",\n \"0.5229384\",\n \"0.52075493\",\n \"0.51906437\",\n \"0.51906437\",\n \"0.5142656\",\n \"0.51353914\",\n \"0.51277053\",\n \"0.5063001\",\n \"0.5056543\",\n \"0.50216717\",\n \"0.50200486\",\n \"0.49780482\",\n \"0.4960555\",\n \"0.49345553\",\n \"0.49277937\",\n \"0.49211228\",\n \"0.49086675\",\n \"0.4890077\",\n \"0.4876336\",\n \"0.48757342\",\n \"0.48750037\",\n \"0.48631293\",\n \"0.48403287\",\n \"0.47860673\",\n \"0.47828436\",\n \"0.47788966\",\n \"0.47544405\",\n \"0.47522974\",\n \"0.4744782\",\n \"0.4742926\",\n \"0.47271714\",\n \"0.47222316\",\n \"0.47022468\",\n \"0.46984354\",\n \"0.46894002\",\n \"0.46696225\",\n \"0.46692666\",\n \"0.4657751\",\n \"0.46489972\",\n \"0.46371388\",\n \"0.4624532\",\n \"0.4622997\",\n \"0.46154788\",\n \"0.4610766\",\n \"0.4607475\",\n \"0.46062353\",\n \"0.4606006\",\n \"0.45918435\",\n \"0.45887634\",\n \"0.45833042\",\n \"0.45796737\",\n \"0.4579537\",\n \"0.45779425\",\n \"0.45747545\",\n \"0.45649543\",\n \"0.45597985\",\n \"0.4556016\",\n \"0.45486823\",\n \"0.45486638\",\n \"0.45450407\",\n \"0.45449\",\n \"0.45427358\",\n \"0.45424002\",\n \"0.45408398\",\n \"0.45399526\",\n \"0.45371395\",\n \"0.45345002\",\n \"0.45280522\",\n \"0.4524497\",\n \"0.45201194\",\n \"0.4478937\",\n \"0.44760883\",\n \"0.44724312\",\n \"0.44711956\",\n \"0.4457348\",\n \"0.44553277\",\n \"0.4453386\",\n \"0.44517612\",\n \"0.44453806\",\n \"0.44447386\",\n \"0.44341573\",\n \"0.44255725\",\n \"0.44241002\",\n \"0.4422158\",\n \"0.4418112\",\n \"0.44144943\",\n \"0.44081497\",\n \"0.44056845\",\n \"0.44042572\",\n \"0.44039294\",\n \"0.4394228\",\n \"0.43911573\",\n \"0.43903577\",\n \"0.43798226\",\n \"0.43774888\",\n \"0.43752605\",\n \"0.4367737\",\n \"0.4365463\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.5494512"},"document_rank":{"kind":"string","value":"1"}}}],"truncated":false,"partial":true},"paginationData":{"pageIndex":867,"numItemsPerPage":100,"numTotalItems":95772,"offset":86700,"length":100}},"jwt":"eyJhbGciOiJFZERTQSIsImtpZCI6IjVHZDBvd0g5MTM2eDZjc1FvbE1zcktNWUZoRVFoUm5PVVVybEpjOUhaUEEifQ.eyJyZWFkIjp0cnVlLCJwZXJtaXNzaW9ucyI6eyJyZXBvLmNvbnRlbnQucmVhZCI6dHJ1ZX0sImlhdCI6MTc4NTkwMjA0NCwianRpIjoiMDczY2Y1YzUtNzEyMi00N2Q5LWEzNDAtMjgzZjI1MGJiYmI0Iiwic3ViIjoiL2RhdGFzZXRzL25vbWljLWFpL2Nvcm5zdGFjay1weXRob24tdjEiLCJleHAiOjE3ODU5MDU2NDQsImlzcyI6Imh0dHBzOi8vaHVnZ2luZ2ZhY2UuY28ifQ.zADOTsTgEBI95LEZ1jgqqq6aQGsrV8YESn6Epf_YoCzoi4uScUsaYXvHPcWDAZIlE3rT_5w3isDgQ32G9VQoAA","displayUrls":true,"splitSizeSummaries":[{"config":"default","split":"train","numRows":95772,"numBytesParquet":1928375891}]},"discussionsStats":{"closed":1,"open":1,"total":2},"fullWidth":true,"hasGatedAccess":true,"hasFullAccess":true,"isEmbedded":false,"savedQueries":{"community":[],"user":[]}}">
query stringlengths 9 3.4k | document stringlengths 9 87.4k | metadata dict | negatives listlengths 4 101 | negative_scores listlengths 4 101 | document_score stringlengths 3 10 | document_rank stringclasses 102
values |
|---|---|---|---|---|---|---|
Load of the queue widgets into QGIS | def Queues(self):
if not self._queues:
queues = AimsQueueWidget(self.iface.mainWindow())
self._dockWindow = DockWindow(self.iface.mainWindow(),queues,"AimsQueues","Aims Queues")
self._queues = queues
self._dockWindow.unloadPlugin.connect(self.unload)
retur... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def loadQueues( self ):\n queues = self.Queues()\n if not queues.isVisible():\n queues.parent().show()",
"def initGui(self):\n\n # set srs\n self._displayCrs = QgsCoordinateReferenceSystem()\n self._displayCrs.createFromOgcWmsCrs('EPSG:4167') \n self.iface.map... | [
"0.6825356",
"0.64986914",
"0.64414537",
"0.61414856",
"0.6099628",
"0.60929966",
"0.60136247",
"0.59926194",
"0.59847957",
"0.5973503",
"0.59125465",
"0.5899035",
"0.5886042",
"0.58763236",
"0.5862038",
"0.58405805",
"0.58287394",
"0.5811405",
"0.5809613",
"0.579309",
"0.578... | 0.6401524 | 3 |
Start the Data Manager only once the user enables the Plugin | def startDM(self):
self.uidm.startDM() | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def startManager(self):\n\t\tlogging.info(\"----->>>The DeviceDataManager will be started\")\n\t\tself.sysPerfManager.startManager()\n\t\tself.sensorAdapterManager.startManager()\n\t\tif self.enableRedis:\n\t\t\tself.redisClient.connectClient()\n\t\t\n\t\tif self.enableMqtt:\n\t\t\tself.mqttClient.connectClient()"... | [
"0.6325973",
"0.62396085",
"0.61796075",
"0.60785794",
"0.60785794",
"0.60785794",
"0.60785794",
"0.60785794",
"0.60785794",
"0.60785794",
"0.60785794",
"0.60226977",
"0.60226977",
"0.60048974",
"0.5926709",
"0.5925948",
"0.590267",
"0.588879",
"0.58218265",
"0.58185536",
"0.... | 0.54009974 | 95 |
Due to problems reloading the plugin and configuring once the plugin is running, the option to alter the configuration is removed once running. The user must configure prior to loading the plugin | def disableConfig(self):
self._configdialog.setEnabled(False) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def reload_config(self):\n pass",
"def configure(self, options, conf):",
"def configure(self):\r\n pass",
"def configure(self) -> None:",
"def configure(self):",
"def configure(self):",
"def configure(self):",
"def configure(self):",
"def configure(self):\n pass",
"def config... | [
"0.67500955",
"0.66955775",
"0.6669793",
"0.66473037",
"0.6607928",
"0.6607928",
"0.6607928",
"0.6607928",
"0.6604924",
"0.6604924",
"0.65339464",
"0.65292645",
"0.6526727",
"0.64767134",
"0.64493877",
"0.64451873",
"0.64063466",
"0.63903636",
"0.6359761",
"0.6352427",
"0.634... | 0.0 | -1 |
enable tools that are dependent on the Address Layer only when the address layer exists | def enableAddressLayer(self):
self._deladdressaction.setEnabled(True)
self._createnewaddressaction.setEnabled(True)
self._moveaddressaction.setEnabled(True)
self._updateaddressaction.setEnabled(True)
self._highlightaction.setEnabled(True) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def startNewAddressTool(self):\n self.iface.mapCanvas().setMapTool(self._createnewaddresstool)\n self._createnewaddresstool.setEnabled(True)",
"def startUpdateAddressTool(self):\n\n self.iface.mapCanvas().setMapTool(self._updateaddtool)\n self._updateaddtool.setEnabled(True)",
"def ... | [
"0.6397762",
"0.6317302",
"0.62492037",
"0.5946098",
"0.5643869",
"0.5643869",
"0.5643869",
"0.5643869",
"0.5431085",
"0.5409157",
"0.53970134",
"0.52877194",
"0.5281901",
"0.52637166",
"0.5215913",
"0.51913553",
"0.51730245",
"0.5157076",
"0.513665",
"0.51271325",
"0.5119784... | 0.63172174 | 2 |
Track the current maptool (excluding rcl tool) to allow for rollback to previous tool when the Rcltool is deactivated | def mapToolChanged(self):
if (isinstance(self.iface.mapCanvas().mapTool(), GetRcl) == False and
isinstance(self.iface.mapCanvas().mapTool(), UpdateReviewPosition) == False):
self._currentMapTool = self.iface.mapCanvas().mapTool()
#self.highlighter.h... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def setPreviousMapTool(self):\n if self.iface.mapCanvas().mapTool() != self._currentMapTool:\n self.iface.mapCanvas().setMapTool(self._currentMapTool)",
"def set_current_tool_to_none(self):\n\n self.variables.active_tool = None\n self.variables.current_tool = None",
"def set_act... | [
"0.6610602",
"0.6047771",
"0.5808479",
"0.5766622",
"0.5683215",
"0.5666312",
"0.5622825",
"0.55997235",
"0.5575052",
"0.53866893",
"0.53748834",
"0.53327566",
"0.53001404",
"0.5243126",
"0.5231501",
"0.51420516",
"0.50829107",
"0.50697356",
"0.50646985",
"0.5024823",
"0.5017... | 0.6357746 | 1 |
Roll back to the previous maptool | def setPreviousMapTool(self):
if self.iface.mapCanvas().mapTool() != self._currentMapTool:
self.iface.mapCanvas().setMapTool(self._currentMapTool) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def rollback(self, mapset=None):\n if mapset is None:\n mapset = self.current_mapset",
"def rollback(self):\n pass",
"def restore_last_undo_point(self):\n self.unload()",
"def resetTool(*args, **kwargs)->None:\n pass",
"def _revert(self):\n self.release_from_outpu... | [
"0.66519207",
"0.63949555",
"0.61096495",
"0.6086316",
"0.6046814",
"0.6029025",
"0.601352",
"0.6011927",
"0.59067875",
"0.589292",
"0.589292",
"0.589292",
"0.5890216",
"0.5872236",
"0.5859716",
"0.583847",
"0.58294845",
"0.5820746",
"0.58008325",
"0.5768287",
"0.57375896",
... | 0.57408303 | 20 |
Enable the 'configure aims' dialog | def configureAims(self):
self._config_ui.showDialog() | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def enable(self):\n self.SetInteractive(1)",
"def configure(self):\n dlg = ConfigureDialog(QtGui.QApplication.activeWindow().currentWidget())\n dlg.identifierOccursCount = self._identifierOccursCount\n\n if dlg.exec_():\n self._config = dlg.getConfig()\n dlg.setConfi... | [
"0.6400439",
"0.6159485",
"0.6057136",
"0.60529816",
"0.6036737",
"0.5965732",
"0.59589297",
"0.58659977",
"0.5775678",
"0.57545274",
"0.5744145",
"0.57255495",
"0.5702786",
"0.5681207",
"0.56680506",
"0.56298286",
"0.5622051",
"0.5619457",
"0.5604328",
"0.5602475",
"0.559994... | 0.81929576 | 0 |
Enable the 'create new address' map tool | def startNewAddressTool(self):
self.iface.mapCanvas().setMapTool(self._createnewaddresstool)
self._createnewaddresstool.setEnabled(True) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def startUpdateAddressTool(self):\n\n self.iface.mapCanvas().setMapTool(self._updateaddtool)\n self._updateaddtool.setEnabled(True)",
"def startMoveAddressTool(self):\n\n self.iface.mapCanvas().setMapTool(self._moveaddtool)\n self._moveaddtool.setEnabled(True)",
"def new_map(self):\... | [
"0.7219506",
"0.7039836",
"0.6763633",
"0.6633369",
"0.65668374",
"0.59695303",
"0.59218526",
"0.58349395",
"0.5776906",
"0.5717231",
"0.57104254",
"0.5676744",
"0.56628376",
"0.5605186",
"0.55983114",
"0.549823",
"0.5495299",
"0.5492283",
"0.5473432",
"0.54679406",
"0.545776... | 0.84176415 | 0 |
Enable the 'get rcl tool' map tool | def startRclTool(self, parent = None):
self.rclParent = parent
self.iface.mapCanvas().setMapTool(self._rcltool)
self._rcltool.setEnabled(True) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def onMapToolActivated(self, e):\n pass",
"def mapToolChanged(self):\n \n if (isinstance(self.iface.mapCanvas().mapTool(), GetRcl) == False and\n isinstance(self.iface.mapCanvas().mapTool(), UpdateReviewPosition) == False): \n self._currentMapTool = sel... | [
"0.6035034",
"0.59180385",
"0.5910891",
"0.5775591",
"0.570419",
"0.5659089",
"0.5643911",
"0.5594283",
"0.55799174",
"0.5391594",
"0.5363833",
"0.53254557",
"0.531566",
"0.5236203",
"0.5193972",
"0.51902187",
"0.518054",
"0.5168814",
"0.5163724",
"0.5154438",
"0.51030445",
... | 0.60152096 | 1 |
Enable the 'get update Review position tool' map tool | def startUpdateReviewPosTool(self, revItem = None):
self.currentRevItem = revItem
self.iface.mapCanvas().setMapTool(self._updateReviewPos)
self._rcltool.setEnabled(True) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def mapToolChanged(self):\n \n if (isinstance(self.iface.mapCanvas().mapTool(), GetRcl) == False and\n isinstance(self.iface.mapCanvas().mapTool(), UpdateReviewPosition) == False): \n self._currentMapTool = self.iface.mapCanvas().mapTool()\n #self.hig... | [
"0.6898773",
"0.6807094",
"0.6599226",
"0.62207574",
"0.61673176",
"0.6149542",
"0.5958839",
"0.58545905",
"0.57583255",
"0.57081556",
"0.5629216",
"0.5621588",
"0.5572837",
"0.55716854",
"0.5395851",
"0.5385057",
"0.5360681",
"0.53506345",
"0.5344912",
"0.5344672",
"0.534018... | 0.60526603 | 6 |
Enable the 'move address' map tool | def startMoveAddressTool(self):
self.iface.mapCanvas().setMapTool(self._moveaddtool)
self._moveaddtool.setEnabled(True) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def startNewAddressTool(self):\n self.iface.mapCanvas().setMapTool(self._createnewaddresstool)\n self._createnewaddresstool.setEnabled(True)",
"def enableAddressLayer(self):\n\n self._deladdressaction.setEnabled(True)\n self._createnewaddressaction.setEnabled(True)\n self._move... | [
"0.70482296",
"0.6882556",
"0.6680604",
"0.6600201",
"0.6302381",
"0.6076492",
"0.5613634",
"0.5609297",
"0.5577446",
"0.5559024",
"0.5549096",
"0.5530175",
"0.5403303",
"0.53529227",
"0.5299035",
"0.52719486",
"0.52694035",
"0.5255019",
"0.523649",
"0.52247787",
"0.52008283"... | 0.802022 | 0 |
Enable the "update address" map tool | def startUpdateAddressTool(self):
self.iface.mapCanvas().setMapTool(self._updateaddtool)
self._updateaddtool.setEnabled(True) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def startNewAddressTool(self):\n self.iface.mapCanvas().setMapTool(self._createnewaddresstool)\n self._createnewaddresstool.setEnabled(True)",
"def enableAddressLayer(self):\n\n self._deladdressaction.setEnabled(True)\n self._createnewaddressaction.setEnabled(True)\n self._move... | [
"0.731475",
"0.68513423",
"0.65981966",
"0.63955295",
"0.5972027",
"0.5911757",
"0.5825655",
"0.5821094",
"0.5787878",
"0.5732821",
"0.5685454",
"0.5596522",
"0.5579056",
"0.556285",
"0.5560578",
"0.55568826",
"0.5414187",
"0.5379938",
"0.53794837",
"0.53684026",
"0.5366601",... | 0.8050349 | 0 |
Enable the "delete address" map tool | def startDelAddressTool(self):
self.iface.mapCanvas().setMapTool(self._deladdtool)
self._deladdtool.setEnabled(True) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def erase_address(self):\n self.remove_pointer_or_layer()\n if self.geocoder_source_model is not None:\n self.geocoder_source_model.clear()\n if self.dlg.geocoder_search is not None:\n self.dlg.geocoder_search.clear()\n if self.toolbar_search is not None:\n ... | [
"0.6550085",
"0.6467427",
"0.6311727",
"0.62195885",
"0.6132217",
"0.61023366",
"0.60953397",
"0.60527706",
"0.5956514",
"0.5815314",
"0.57877815",
"0.5704363",
"0.56430364",
"0.5642785",
"0.5599457",
"0.5550336",
"0.5488163",
"0.54792076",
"0.5436945",
"0.54259276",
"0.53910... | 0.7489834 | 0 |
Remove Plugins UI Elements From QGIS | def unload(self):
self._layerManager.disconnectExtentEvent()
if self._queues:
self._queues.close()
self._queues = None
self.uidm.killDm()
self.iface.mainWindow().removeToolBar(self._toolbar)
self.iface.removeToolBarIcon(self._loadaction)
self.ifa... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def unload(self):\n \n ImajnetLog.info(\"** UNLOAD QGisImajnetPlugin\")\n\n if self.pluginIsActive:\n self.onClosePlugin(False)\n \n for action in self.actions:\n self.iface.removePluginWebMenu(\n self.tr(u'&Imajnet'),\n act... | [
"0.68107015",
"0.67886394",
"0.67092305",
"0.6709",
"0.67069304",
"0.6686318",
"0.66338986",
"0.66202736",
"0.66201824",
"0.6592137",
"0.6585883",
"0.655749",
"0.654264",
"0.6527813",
"0.6521251",
"0.6518538",
"0.6468899",
"0.6466132",
"0.64427376",
"0.64320093",
"0.64218587"... | 0.6038854 | 38 |
Review data changed, update review layer and table | def rDataChanged(self):
self._queues.uResolutionTab.refreshData()
self._layerManager.updateReviewLayer() | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def mutate(self, info, id, input):\n user = info.context.user\n\n model, node_id = from_global_id(id)\n try:\n data_review = DataReview.objects.get(pk=node_id)\n except DataReview.DoesNotExist:\n raise GraphQLError(\"DataReview was not found\")\n\n # Check p... | [
"0.6250439",
"0.59114504",
"0.5905991",
"0.58744705",
"0.57848674",
"0.5783843",
"0.5747949",
"0.5709248",
"0.5637344",
"0.5614386",
"0.56124216",
"0.558743",
"0.55666566",
"0.5545397",
"0.55370015",
"0.55307335",
"0.550496",
"0.5492444",
"0.5486151",
"0.54773945",
"0.5464195... | 0.6456079 | 0 |
Feature data changed, update review layer and table | def fDataChanged(self):
self._layerManager.getAimsFeatures() | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def rDataChanged(self):\n\n self._queues.uResolutionTab.refreshData()\n self._layerManager.updateReviewLayer()",
"def updateAttributesAfterAdding(self):\n layer = self.sender()\n while self.addedFeatures:\n featureId = self.addedFeatures.pop()\n #begining the edi... | [
"0.6235317",
"0.60541224",
"0.6049854",
"0.57644933",
"0.56803846",
"0.5665546",
"0.5665546",
"0.56608504",
"0.559064",
"0.55822855",
"0.5540997",
"0.5530786",
"0.55232674",
"0.55232483",
"0.5520127",
"0.54641056",
"0.5430033",
"0.5420449",
"0.54120576",
"0.54066986",
"0.5397... | 0.6226966 | 1 |
Return instance of the Controller | def instance():
if Controller._instance == None:
Controller._instance = Controller()
return Controller._instance | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def controller( self ):\n\t\ttry:\n\t\t\treturn self._controller\n\t\texcept Exception as e:\n\t\t\tself.logToConsole( \"controller: %s\" % str(e) )",
"def create_controller() -> Controller:\n _controller = Controller()\n return _controller",
"def _get_controller(self):\n return self.__controller",
... | [
"0.79567254",
"0.7908007",
"0.788236",
"0.7821275",
"0.7791155",
"0.7606602",
"0.73090816",
"0.7151729",
"0.66534436",
"0.6500115",
"0.64955103",
"0.6494055",
"0.64003295",
"0.6300476",
"0.62928957",
"0.6199271",
"0.6160714",
"0.6128002",
"0.61126775",
"0.6013205",
"0.5929797... | 0.83611196 | 0 |
Searches entries in LDAP. | def search_from_ldap(conn, base, scope=ldap.SCOPE_BASE,
filterstr="(objectClass=*)",
attrlist=None, attrsonly=0):
try:
result = conn.search_s(base, scope)
ret = result[0]
except ldap.NO_SUCH_OBJECT:
ret = ("", {},)
return ret | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def ldap_search(self, ldapfilter):\n # Determine the scope value\n if self.args.recursive:\n scope = ldap.SCOPE_SUBTREE\n else:\n scope = ldap.SCOPE_ONELEVEL\n \n # Search ldap for results\n try:\n self.searchresult = self.ldapobj.search_s(self... | [
"0.7578374",
"0.72124135",
"0.71250767",
"0.6938553",
"0.6875933",
"0.6797734",
"0.6741676",
"0.66584826",
"0.63358796",
"0.62970775",
"0.62518626",
"0.62087023",
"0.6083377",
"0.6035152",
"0.59834754",
"0.5945353",
"0.58633006",
"0.5857559",
"0.5854493",
"0.58153236",
"0.579... | 0.67688143 | 6 |
Gather many HTTP call made async | async def run(users):
async with aiohttp.ClientSession() as session:
tasks = []
for user in users:
tasks.append(
TornAPI.fetch_torn_user_data(
session,
user.params,
user.id
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"async def run_requests(self):\n loop = asyncio.get_event_loop()\n tasks = []\n async with aiohttp.ClientSession(connector=self.connector) as session:\n\n for index, id in enumerate(self.ids):\n if id not in self.processed_ids:\n url = self.base_url ... | [
"0.7323078",
"0.69803554",
"0.69192135",
"0.68714285",
"0.68630415",
"0.6749683",
"0.66467226",
"0.6620924",
"0.658006",
"0.6534733",
"0.6530346",
"0.6517283",
"0.63778806",
"0.636628",
"0.62896025",
"0.62821156",
"0.6238751",
"0.61890155",
"0.6162785",
"0.61416656",
"0.61216... | 0.6315403 | 14 |
Read data with features and create dataframe with information. | def create_output_filenames(input_file, output_folder, method):
# Create output folder
if os.path.exists(output_folder):
os.system('rm -rf %s' % output_folder)
os.makedirs(output_folder, exist_ok=True)
os.chdir(output_folder)
# Create output filenames
screen_name = '%s_%s' % (input_fil... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def create_dataframe_for_training(data):\n feature_column_name = 'X'\n #data_cp = data[['label']].copy()\n for i, row in tqdm(data.iterrows(), total=len(data)):\n all_features = f'{row.claimant} {row.claim} {row.article_content}'\n data.loc[i, feature_column_name] = all_features\n\n retur... | [
"0.72818357",
"0.70350075",
"0.6846047",
"0.67715937",
"0.67710847",
"0.6743549",
"0.6727138",
"0.6570921",
"0.65569043",
"0.65353185",
"0.6531053",
"0.6512847",
"0.6483446",
"0.6477788",
"0.6444555",
"0.6426078",
"0.6421392",
"0.63999",
"0.63460165",
"0.6320502",
"0.6299188"... | 0.0 | -1 |
Open and write to the log file | def log_write(log_f, text, action='a'):
f = open(log_f, action)
f.write(text)
f.close() | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _log_to_file(self, message):\n if self.log is not None:\n message = \"[%s] %s\" % (datetime.datetime.utcnow().strftime('%H:%M:%S'), message)\n self.log.write(\"%s\\n\" % (message,))\n self.log.flush()\n print message",
"def create_log_file(path):\n wi... | [
"0.77165127",
"0.7496576",
"0.7493469",
"0.740579",
"0.73121864",
"0.7169272",
"0.71224487",
"0.70322204",
"0.7023049",
"0.7012907",
"0.69566447",
"0.6947546",
"0.69442004",
"0.69372445",
"0.6931374",
"0.6907031",
"0.6872325",
"0.68370783",
"0.6835948",
"0.68103623",
"0.68003... | 0.6913625 | 15 |
The WT strain IDs matched with WT ORFs | def wt_strains(df):
ts_plates = []
dma_plates = []
for plate in df.Plate.unique():
if ('_26C_' in plate) or ('_37C_' in plate):
ts_plates.append(plate)
else:
dma_plates.append(plate)
wt_strain_ids_dma = df[(df['ORF'].isin(['YOR202W'])) &
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_filter_otus_from_otu_table_ids(self):\r\n otu_table = parse_biom_table_str(dense_otu_table1)\r\n filtered_otu_table = filter_otus_from_otu_table(otu_table,\r\n set(otu_table.ObservationIds) - set(['34', '155', '152']), 0, inf, 0, inf)\r\... | [
"0.5487055",
"0.5474353",
"0.54263955",
"0.52766407",
"0.5237478",
"0.5204371",
"0.508735",
"0.50703365",
"0.5059241",
"0.50212437",
"0.5014215",
"0.50075287",
"0.49974915",
"0.4996851",
"0.4983923",
"0.49771553",
"0.4968982",
"0.49651924",
"0.49472168",
"0.49351105",
"0.4927... | 0.6810067 | 0 |
Read data with features and create dataframe with information. | def read_input_data(input_f, features_file, output):
print('\n Reading input...')
log_write(output['log'], 'Input file: %s\n' % input_f, 'w+')
# Read input data
df = pd.read_csv(input_f, low_memory=False)
df = df.astype({'Column': int,
'Row': int,
'ImageNum... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def create_dataframe_for_training(data):\n feature_column_name = 'X'\n #data_cp = data[['label']].copy()\n for i, row in tqdm(data.iterrows(), total=len(data)):\n all_features = f'{row.claimant} {row.claim} {row.article_content}'\n data.loc[i, feature_column_name] = all_features\n\n retur... | [
"0.72818357",
"0.70350075",
"0.6846047",
"0.67715937",
"0.67710847",
"0.6743549",
"0.6727138",
"0.6570921",
"0.65569043",
"0.6531053",
"0.6512847",
"0.6483446",
"0.6477788",
"0.6444555",
"0.6426078",
"0.6421392",
"0.63999",
"0.63460165",
"0.6320502",
"0.6299188",
"0.6290497",... | 0.65353185 | 9 |
Outlier Detection with Mahalanobis Distance Method. | def outlier_detection(df, method, wt, features, output):
print('\n Detecting outliers...')
start_time = time.time()
# Model wt morphology
wt_data = df[df['Strain ID'].isin(wt)][features].values
# Create a subset with only WT cells and fit the model
if method == 'GMM':
gmm = mixture.... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def MahalanobisOutliers(featMatProjected, extremeness=2., showplot=True):\n # NB: Euclidean distance puts more weight than it should on correlated variables\n # Chicken and egg situation, we can’t know they are outliers until we calculate \n # the stats of the distribution, but the stats of the distributi... | [
"0.6984684",
"0.6515336",
"0.6263613",
"0.6187706",
"0.6028466",
"0.600878",
"0.59888786",
"0.5946161",
"0.5898555",
"0.58214605",
"0.5808384",
"0.58005",
"0.57199794",
"0.5709858",
"0.56994855",
"0.5677547",
"0.56032544",
"0.55887216",
"0.5580992",
"0.5574399",
"0.554997",
... | 0.58291215 | 9 |
Plot data with inoutlier information using the first 2 PCs | def plot_in_outliers(data, mask, output):
oc = 'lightskyblue'
ic = 'navy'
plt.figure(figsize=(15, 18))
sns.set_style('white')
x_all = pd.DataFrame({'PC1': data[:, 0], 'PC2': data[:, 1]})
x_inliers = pd.DataFrame({'PC1': data[mask == 0, 0], 'PC2': data[mask == 0, 1]})
x_outliers = pd.DataFra... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def PlotOutlier(data_dict, feature_x, feature_y):\n data = featureFormat(data_dict, [feature_x, feature_y, 'poi'])\n for point in data:\n x = point[0]\n y = point[1]\n poi = point[2]\n if poi:\n color = 'red'\n else:\n color = 'blue'\n plt.scatt... | [
"0.6546934",
"0.6507884",
"0.64871204",
"0.6229395",
"0.6091009",
"0.58001107",
"0.5764339",
"0.57519376",
"0.57438624",
"0.5653837",
"0.56201476",
"0.56173015",
"0.55946594",
"0.5585635",
"0.5563802",
"0.5529469",
"0.55118716",
"0.5480892",
"0.5454786",
"0.5449976",
"0.54473... | 0.7036596 | 0 |
Calculate the maximum difference in percentage between mutant and wt populations on cumulative distribution of score as an estimate for penetrance | def estimate_penetrance(wt, mut):
# Find the maximum difference between two CDFs
maxx = 0
for i in range(len(wt)):
diff = wt[i]-mut[i]
if diff > maxx:
maxx = diff
return maxx * 100 | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def compute_drift_score(ref_col_prob, col_prob):\n\n return sum(abs(np.asarray(ref_col_prob) - np.array(col_prob)) * 100)",
"def mutual_info_score(self):\n _, _, I_CK = self._entropies()\n return I_CK / self.grand_total",
"def grade(population, target_sum, target_mult):\r\n summed = reduce(ad... | [
"0.6367103",
"0.63137776",
"0.624538",
"0.61520624",
"0.6144295",
"0.6119892",
"0.6105903",
"0.60700804",
"0.6008827",
"0.59998465",
"0.59672254",
"0.5960492",
"0.5921287",
"0.5896108",
"0.58913654",
"0.58866644",
"0.5866073",
"0.5849949",
"0.58120936",
"0.5789974",
"0.577659... | 0.72945195 | 0 |
Estimate penetrance for the group | def calculate_penetrace_per_group(df, group_features, neg):
# Group information
info = list(df[group_features].drop_duplicates().values[0])
num_cells = df.shape[0]
info.append(num_cells)
# Calculate penetrance
penetrance = np.nan
ks_penetrance = np.nan
wt_percentile = np.nan
mut_sc... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def pie_chart_score(self, grouped):\n picked_scenario = self.scenario_dict[\"%d\" % (self.scenario_num-1)]\n distinct_enum_X = self.data_dict[picked_scenario[\"X\"]]['distinct_enum']\n score = 0\n if min(grouped) < 0:\n score = 0\n elif distinct_enum_X == 1:\n ... | [
"0.5930809",
"0.5871412",
"0.57584465",
"0.570286",
"0.56643695",
"0.56087494",
"0.5525248",
"0.550499",
"0.5489124",
"0.5488275",
"0.5467969",
"0.5459607",
"0.5425661",
"0.54031116",
"0.53869504",
"0.5381044",
"0.5365898",
"0.5334589",
"0.53107226",
"0.52837145",
"0.52837145... | 0.6121099 | 0 |
Prepare the output files with penetrance estimations | def prepare_output_results(df, cell_features, pop_features, pop_type, neg, output):
print('\n Calculating penetrance values per %s...' % pop_type)
# Initialize output file
columns = pop_features + ['Num_cells', 'Penetrance', 'KS_Penetrance', 'WT_percentile_at_threshold']
df_output = pd.DataFrame(co... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def initialize_output_files(self):\r\n if not self.C.restart:\r\n print(\"* Touching output files.\", flush=True)\r\n # begin writing `generation.csv` file\r\n csv_path_and_filename = self.C.job_dir + \"generation.csv\"\r\n util.properties_to_csv(\r\n ... | [
"0.63686013",
"0.6325922",
"0.6170364",
"0.61561066",
"0.61384374",
"0.6063473",
"0.6040741",
"0.6021471",
"0.60086155",
"0.59537876",
"0.5953476",
"0.5935497",
"0.5882352",
"0.5881769",
"0.5862629",
"0.5853274",
"0.58269155",
"0.58128333",
"0.58001506",
"0.57809675",
"0.5771... | 0.5423263 | 81 |
Prepare the output file with average WT penetrance per plate | def prepare_wt_penetrance_results(df, neg, output):
df_output = pd.DataFrame(columns=['Plate', 'Sum - Num_cells', 'Penetrance', 'KS_Penetrance'])
plates = sorted(df.Plate.unique())
this_row = 0
for plate in plates:
df_p = df[(df['Plate'] == plate) & (df['Strain ID'].isin(neg))]
df_p = ... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def write_pre(df, df_rain, df_runoff, df_sm, watershed):\n\n df_xy = pd.read_csv(os.path.join(os.path.dirname(__file__), 'Lucky_hills_input_data', 'WGEW_gauge_locations.csv'))\n\n avgsm = df_sm.sm5.mean()\n\n for preName in df.preName:\n\n print(f'create .pre file for event {preName}')\n\n d... | [
"0.6286624",
"0.5683134",
"0.5586905",
"0.5525071",
"0.552144",
"0.5507411",
"0.5504974",
"0.5461099",
"0.54522216",
"0.5407216",
"0.53955317",
"0.5394013",
"0.5390017",
"0.53712225",
"0.53609866",
"0.535998",
"0.53588486",
"0.53359824",
"0.53238076",
"0.5320318",
"0.5318068"... | 0.6270066 | 1 |
Save high confidence outlier cells from strains with > penetrance of 90th WT penetrance | def save_outlier_cells(df_well, df_strain, df_strain_scores, output):
# Filter strains
wt_strain_ids = wt_strains(df_strain_scores)
df_strain = df_strain[df_strain['Strain ID'].isin(df_strain_scores['Strain ID'].unique())]
df_well = df_well[(df_well['Strain ID'].isin(wt_strain_ids)) &
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def remove_high_gi(df):\n df = df[df['2h-iAUC'] <= 75]\n writer = pd.ExcelWriter('final_dataset_with_median.xlsx', engine='xlsxwriter')\n df.to_excel(writer, sheet_name='Sheet1')\n writer.save()",
"def early_warnings_sensitivity_analysis(series,\n indicators=['v... | [
"0.5806118",
"0.5517937",
"0.5420683",
"0.54034156",
"0.5347539",
"0.534004",
"0.5339723",
"0.53011847",
"0.5298448",
"0.5295308",
"0.52592945",
"0.52575207",
"0.52557695",
"0.52543205",
"0.52489877",
"0.52084166",
"0.52046674",
"0.5196227",
"0.51782423",
"0.51771146",
"0.517... | 0.6827614 | 0 |
Plot ROC and PR curves, penetrance agreement and confusion matrices if the positive control file is available | def calculate_auc(df, neg, pos):
nc = df[df['Strain ID'].isin(neg)]['Penetrance'].values
pc = df[df['Strain ID'].isin(pos)]['Penetrance'].values
y_score = np.append(nc, pc)
y_true = np.append(np.repeat(0, len(nc)), np.repeat(1, len(pc)))
sample_weights = np.append(np.repeat(float(len(pc)) / len(nc... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _roc_plot_single(metrics, save_name):\n plt.figure()\n plt.plot([0, 1], [0, 1], \"k--\")\n plt.plot(metrics[\"fpr\"], metrics[\"tpr\"], \"r\", linewidth=2)\n plt.xscale(\"log\")\n plt.yscale(\"log\")\n plt.grid()\n plt.xlabel(\"True Positive Rate\")\n plt.ylabel(\"False Positive Rate\")... | [
"0.7281352",
"0.7193849",
"0.713243",
"0.7124756",
"0.70862824",
"0.7062829",
"0.69989294",
"0.697844",
"0.697795",
"0.69754905",
"0.6926731",
"0.6896871",
"0.6875325",
"0.6868472",
"0.6796516",
"0.67538035",
"0.67431104",
"0.67360616",
"0.6718275",
"0.6686963",
"0.6663083",
... | 0.0 | -1 |
Plot ROC and PR curves, penetrance agreement and confusion matrices if the positive control file is available | def plot_penetrance_agreement(df, df_cont, neg, output):
# Positive controls
pos = df_cont['Strain ID'].values
df_pos = df[df['Strain ID'].isin(pos)][['Strain ID', 'Penetrance']].reset_index(drop=True)
df_pos.insert(loc=len(df_pos.columns), column='Predicted_penetrance', value=0)
df_pos.insert(loc=... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _roc_plot_single(metrics, save_name):\n plt.figure()\n plt.plot([0, 1], [0, 1], \"k--\")\n plt.plot(metrics[\"fpr\"], metrics[\"tpr\"], \"r\", linewidth=2)\n plt.xscale(\"log\")\n plt.yscale(\"log\")\n plt.grid()\n plt.xlabel(\"True Positive Rate\")\n plt.ylabel(\"False Positive Rate\")... | [
"0.72813594",
"0.7194766",
"0.71336013",
"0.7125148",
"0.7087321",
"0.7063653",
"0.70003015",
"0.69796777",
"0.697831",
"0.6976867",
"0.6927569",
"0.6897298",
"0.68765956",
"0.6869951",
"0.6797397",
"0.6755818",
"0.67445564",
"0.6737552",
"0.67196417",
"0.6688396",
"0.6664592... | 0.0 | -1 |
Calculate outlier detection performance on all metrics | def calculate_performance(controls_f, df, pop_type, neg, output):
print('\n Calculating performance...')
log_write(output['log'], '\n\nPerformance based on results per %s\n\n' % pop_type)
# Remove strains with missing penetrance and few cell count
df = df.iloc[df['Penetrance'].isna().values == 0, ... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def detect_outliers(self):\n\n # outliers categorized\n self.by_feature = dict()\n self.by_sample = dict()\n\n if self.disable_outlier_detection:\n print('outlier detection: disabled, as requested.')\n return\n\n if len(self.feature_paths) < 1:\n ... | [
"0.710637",
"0.70049024",
"0.6792978",
"0.6761988",
"0.67603177",
"0.65477294",
"0.6203474",
"0.6200095",
"0.6193399",
"0.61832106",
"0.61709476",
"0.61471057",
"0.6145133",
"0.6142967",
"0.613758",
"0.6125183",
"0.6119651",
"0.6104144",
"0.60948646",
"0.6064788",
"0.60635704... | 0.57430667 | 64 |
Plot WT inlier cells and outlier cells from highly penetrant genes | def plot_cells(df, df_well, df_strain, df_score, neg, cell_features, data_features, output):
# Strains with high penetrance values
wt_penetrances = df_well[df_well['Strain ID'].isin(neg)]['Penetrance'].dropna().values
pene_threshold = stats.scoreatpercentile(wt_penetrances, 95)
high_pene_strains = df_s... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def plot_in_outliers(data, mask, output):\n\n oc = 'lightskyblue'\n ic = 'navy'\n plt.figure(figsize=(15, 18))\n sns.set_style('white')\n x_all = pd.DataFrame({'PC1': data[:, 0], 'PC2': data[:, 1]})\n x_inliers = pd.DataFrame({'PC1': data[mask == 0, 0], 'PC2': data[mask == 0, 1]})\n x_outliers... | [
"0.64420354",
"0.5983264",
"0.59060514",
"0.5854271",
"0.5798881",
"0.5769779",
"0.57064456",
"0.5657062",
"0.563888",
"0.5605974",
"0.560229",
"0.5599474",
"0.5576867",
"0.5527959",
"0.5516743",
"0.55078536",
"0.5483265",
"0.5426917",
"0.5398972",
"0.53946674",
"0.53912854",... | 0.6301111 | 1 |
Can be execute when receive HTTP Method 'GET'. Will be return the Dict object as post_fields. | def get(self, post_id=None):
if post_id:
post = Post.query.filter_by(id=post_id).first()
if not post:
abort(404)
return post
else:
args = parsers.post_get_parser.parse_args()
page = args['page'] or 1
# Return the p... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def request_data():\n if request.method in ('POST', \"PUT\"):\n return request.get_json(force=True)\n else:\n return request.values",
"def do(request, **kwargs):\n logger.debug(request.raw_post_data)\n if request.method == 'POST':\n method = request.POST.get('_method', 'POST')\n else:\n... | [
"0.65958524",
"0.6590844",
"0.6548057",
"0.65243036",
"0.6425696",
"0.64177984",
"0.6371229",
"0.6337785",
"0.63315296",
"0.6198202",
"0.61963314",
"0.61678755",
"0.6151517",
"0.6151517",
"0.6144513",
"0.6144513",
"0.6138687",
"0.6131597",
"0.61260194",
"0.61146164",
"0.60834... | 0.0 | -1 |
Can be execute when receive HTTP Method 'POST'. | def post(self, post_id=None):
if post_id:
abort(400)
else:
args = parsers.post_post_parser.parse_args(strict=True)
new_post = Post(args['title'])
new_post.text = args['text']
# new_post.user = user
if args['tags']:
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def do_POST(self,):\n self.http_method = 'POST'\n self.response()",
"def do_POST(self):\r\n self._send_handler_response('POST')",
"def do_POST(self):\r\n self.do_GET()",
"def http_method_post():\n return 'POST'",
"def post(self):",
"def do_POST(self): # pylint: disable... | [
"0.82315195",
"0.816325",
"0.8136307",
"0.8066405",
"0.8023862",
"0.80042607",
"0.7917753",
"0.7917753",
"0.7917753",
"0.7917753",
"0.7917753",
"0.7917753",
"0.7917753",
"0.7917753",
"0.7917753",
"0.7917753",
"0.7917753",
"0.7917753",
"0.7917753",
"0.7917753",
"0.79055834",
... | 0.0 | -1 |
create directory of it is not exist | def mkdir(path):
if not os.path.exists(path):
os.mkdir(path) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def create_dir():\n if check_dir_exist():\n return False\n else:\n os.makedirs(path_structure)\n return True",
"def mkdir(path):",
"def make_dir(self):\n if not os.path.exists(self.d):\n try:\n os.mkdir(self.d)\n except OSError, e:\n ... | [
"0.8131621",
"0.8035905",
"0.8021882",
"0.8016714",
"0.8004138",
"0.7967038",
"0.79378766",
"0.79378766",
"0.79312384",
"0.79282224",
"0.791509",
"0.7892394",
"0.7882598",
"0.7872448",
"0.78720444",
"0.78555393",
"0.78460974",
"0.7828939",
"0.78242785",
"0.7821966",
"0.782043... | 0.7672673 | 40 |
Parsing a datetime into a pandas.Timestamp | def test_parse_date_from_datetime(self):
bxl = pytz.timezone('Europe/Brussels')
dt_ = bxl.localize(dt.datetime(2014, 11, 23, 1, 2, 3))
epoch = pytz.UTC.localize(dt.datetime(1970, 1, 1, 0, 0, 0))
epoch_expected = (dt_ - epoch).total_seconds()
pts = parse_date(dt_)
self.a... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def parse_timestamp(ts):\n return DateTimeField()._to_python(ts)",
"def parse_timestamp(row):\n ts0 = pd.Timestamp(row['raw_timestamp_part_1'], unit='s')\n ts1 = pd.Timedelta(row['raw_timestamp_part_2'], unit='microseconds')\n return ts0 + ts1",
"def _pd_datetime_to_timestamp_proto(dtype, value) ->... | [
"0.66713554",
"0.66511303",
"0.64544904",
"0.64049304",
"0.6398411",
"0.63614136",
"0.6346307",
"0.6269649",
"0.6210043",
"0.6187754",
"0.61801153",
"0.61687887",
"0.6164123",
"0.6163249",
"0.6162522",
"0.6138763",
"0.6111186",
"0.60905814",
"0.60867035",
"0.607121",
"0.60709... | 0.0 | -1 |
Parsing some commong types of strings | def test_parse_date_from_string(self):
dt_ = pytz.UTC.localize(dt.datetime(2014, 11, 23, 1, 2, 3))
epoch = pytz.UTC.localize(dt.datetime(1970, 1, 1, 0, 0, 0))
epoch_expected = (dt_ - epoch).total_seconds()
pts = parse_date('20141123 01:02:03')
self.assertEqual(pts.value / 1e9, ... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def parseString(self, s):\n pass",
"def parse_string(self, data):\n pass",
"def parse(s):\n return s",
"def parse(cls, s):\n raise NotImplementedError",
"def parse_string(self, in_str):\n match = MAIN_REGEX.search(in_str)\n if not match:\n err_str = \"Un... | [
"0.71482205",
"0.7027541",
"0.68106294",
"0.6537094",
"0.64149195",
"0.6322251",
"0.6309026",
"0.63043857",
"0.6225313",
"0.6172142",
"0.61480796",
"0.6053881",
"0.60218215",
"0.6010432",
"0.6005794",
"0.5965541",
"0.59482807",
"0.5941513",
"0.591379",
"0.5909908",
"0.5903934... | 0.0 | -1 |
Open lenfile to determine length of each contig in ref.fa. | def openlenfile(lenfile):
with open(lenfile, 'r') as o:
text = o.read().split("\n")
return text | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def file_length(fileName):\n with open(f_pass) as f:\n for i, l in enumerate(f):\n pass\n return i + 1",
"def file_len(fname):\n with open(fname) as f:\n for i, l in enumerate(f):\n pass\n Nrows = i + 1\n return Nrows",
"def file_len(f):\n\n ... | [
"0.6596299",
"0.65170276",
"0.6510556",
"0.64972013",
"0.6382751",
"0.634846",
"0.6290514",
"0.6267712",
"0.6207364",
"0.61850536",
"0.6170275",
"0.6133182",
"0.61330396",
"0.6116903",
"0.6094633",
"0.60247296",
"0.59479153",
"0.59410506",
"0.5937424",
"0.588958",
"0.58894855... | 0.6669815 | 0 |
Create dir for bedfiles. | def make_beddir():
bname = op.basename(ref).split(".fa")[0]
beddir = makedir(op.join(op.dirname(ref), 'bedfiles_%s' % bname))
return bname, beddir | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def createDir(self, dir_name):\n os.mkdir(os.path.join(self.user[\"Save\"], dir_name))",
"def make_case_dir(self):\n\n mkdir(directory=self.dir)\n mkdir(directory=self.sub_dir)",
"def make_dir(self):\n if not os.path.exists(self.d):\n try:\n os.mkdir(self.d... | [
"0.7125149",
"0.70820016",
"0.70502377",
"0.69840735",
"0.6936681",
"0.68457246",
"0.6840222",
"0.6807135",
"0.6796343",
"0.67916274",
"0.67853177",
"0.67853177",
"0.6780806",
"0.6770088",
"0.67424643",
"0.6727917",
"0.6727697",
"0.6726145",
"0.6721723",
"0.67215335",
"0.6704... | 0.7920128 | 0 |
Create a name for a bedfile based on the ref.fa path name and num. | def get_prereqs(num):
bname, beddir = make_beddir()
f = op.join(beddir, "%s_bedfile_%s.bed" % (bname, str(num).zfill(4)))
return f | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def create_final_name(fname, date, fc_id, sample_name):\n \n # Split the file name according to CASAVA convention\n m = re.match(r'(\\S+?)_(?:[ACGTN\\-]+|NoIndex|Undetermined)_L0*(\\d+)_R(\\d)_\\d+\\.fastq(.*)', fname)\n if m is not None:\n lane = m.group(2)\n read = m.group(3)\n ... | [
"0.64326787",
"0.6390889",
"0.6162014",
"0.60992646",
"0.60372376",
"0.60265815",
"0.5936168",
"0.5925598",
"0.59065956",
"0.58931446",
"0.5885672",
"0.5868783",
"0.5835747",
"0.5821631",
"0.5794155",
"0.5765308",
"0.57223356",
"0.57214165",
"0.57152283",
"0.5710554",
"0.5700... | 0.5480523 | 37 |
Write contig/chrom, start, stop positions to bedfile. | def make_bed(lines, num):
f = get_prereqs(num)
with open(f, 'w') as o:
for contig, start, stop in lines:
o.write("%s\t%s\t%s\n" % (contig, start, stop)) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def write(self, outfile):\n outfile.write(\n '\\t'.join(\n [\n str(i) for i in [\n self.chrom, self.start, self.end, self.name,\n self.count, self.fold_change, self.log10p\n ]\n ]\n ... | [
"0.60150325",
"0.59635466",
"0.56702024",
"0.56527853",
"0.56182194",
"0.55816156",
"0.55281764",
"0.54684925",
"0.5462438",
"0.53775287",
"0.5333092",
"0.53054655",
"0.52583885",
"0.5236999",
"0.5216365",
"0.52040017",
"0.5203083",
"0.51540524",
"0.5143235",
"0.5138014",
"0.... | 0.6088629 | 0 |
If intervals.list files exist, use these instead of ref.fa.length file. | def make_bed_from_intervals(intdir):
intfiles = [f for f in fs(intdir) if f.endswith('.list')]
for intfile in intfiles:
num = intfile.split("_")[-1].replace(".list", "")
lines = []
with open(intfile, 'r') as o:
text = o.read().split("\n")
for line in text:
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def find_positions():\n refdir = op.dirname(ref)\n intdir = op.join(refdir, 'intervals')\n # look for intervals directory with .list files\n if op.exists(intdir):\n print('\\tusing intervals dir to create bedfiles for %s' % ref)\n make_bed_from_intervals(intdir)\n return\n # loo... | [
"0.5596598",
"0.5420073",
"0.53824025",
"0.52861524",
"0.5261305",
"0.50874186",
"0.50684524",
"0.4995538",
"0.49851644",
"0.4981738",
"0.49681863",
"0.49664834",
"0.49223024",
"0.49208766",
"0.49206412",
"0.4918922",
"0.49170592",
"0.49125102",
"0.49114218",
"0.49038002",
"0... | 0.5453543 | 1 |
Use ref.order file to create bedfiles for parallelization. Evenly distributes contigs across X number of files specified to calculate thresh. | def make_beds_from_orderfile():
orderfile = ref.replace(".fa", "") + '.order'
print('\n\tCreating bedfiles from %s. Please confirm:\n\tAssuming .order file is of format:\n\t\tref_scaff<tab>contig_name<tab>start_pos<tab>stop_pos<tab>contig_length' % orderfile)
askforinput(tab='\t', newline='')
with open(... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def make_bedfiles():\n df = pd.read_csv(\"%s.length\" % ref, sep='\\t', header=None)\n thresh = math.ceil(sum(df[1]) / globals()['jobs_per_pool'])\n lines = []\n fcount = 0\n fsum = 0\n for count,row in enumerate(df.index):\n contig, length = list(df.loc[row, :])\n fsum += length\n ... | [
"0.6590571",
"0.61164385",
"0.6017592",
"0.5689988",
"0.5628261",
"0.5574964",
"0.5478103",
"0.54726285",
"0.5446761",
"0.54318154",
"0.54137427",
"0.54006183",
"0.53667706",
"0.53506273",
"0.53197247",
"0.5316093",
"0.5272207",
"0.52560264",
"0.5221501",
"0.5205024",
"0.5189... | 0.6294389 | 1 |
Find positions to create bedfiles. First look for an intervals directory, then for a ref.order file. If neither exist, use ref.length file (ie, a lenfile) if this doesn't exist, create one from the ref.fa. A lenfile is a file created from the ref.fa that has lengths of each contig/chromosome. | def find_positions():
refdir = op.dirname(ref)
intdir = op.join(refdir, 'intervals')
# look for intervals directory with .list files
if op.exists(intdir):
print('\tusing intervals dir to create bedfiles for %s' % ref)
make_bed_from_intervals(intdir)
return
# look for a ref.or... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def make_beds_from_orderfile():\n orderfile = ref.replace(\".fa\", \"\") + '.order'\n print('\\n\\tCreating bedfiles from %s. Please confirm:\\n\\tAssuming .order file is of format:\\n\\t\\tref_scaff<tab>contig_name<tab>start_pos<tab>stop_pos<tab>contig_length' % orderfile)\n askforinput(tab='\\t', newlin... | [
"0.6035527",
"0.59248257",
"0.52282196",
"0.51990765",
"0.5198975",
"0.51359016",
"0.5092171",
"0.49188724",
"0.48909006",
"0.48892576",
"0.48381808",
"0.4836135",
"0.47870463",
"0.47688",
"0.47637847",
"0.4749879",
"0.47248846",
"0.47141135",
"0.47044",
"0.47014743",
"0.4699... | 0.83084154 | 0 |
Use ref.fa.length or ref.order file to write contig/chorm, start, stop to bedfile. | def make_bedfile(lines, fcount, from_orderfile=False):
f = get_prereqs(fcount)
text = []
with open(f, 'w') as o:
for line in lines:
if from_orderfile is False:
contig, length = line
text.append("%s\t%s\t%s" % (contig, 0, int(length)-1)) # contig \t start ... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def make_beds_from_orderfile():\n orderfile = ref.replace(\".fa\", \"\") + '.order'\n print('\\n\\tCreating bedfiles from %s. Please confirm:\\n\\tAssuming .order file is of format:\\n\\t\\tref_scaff<tab>contig_name<tab>start_pos<tab>stop_pos<tab>contig_length' % orderfile)\n askforinput(tab='\\t', newlin... | [
"0.6323418",
"0.62829024",
"0.61649925",
"0.6098245",
"0.60466856",
"0.5953595",
"0.5946328",
"0.5867471",
"0.57360923",
"0.57180756",
"0.5669914",
"0.56460124",
"0.5614862",
"0.5594809",
"0.5577744",
"0.55528116",
"0.554931",
"0.55370843",
"0.55333304",
"0.55181164",
"0.5512... | 0.65602005 | 0 |
Use ref.fa.length file to create bedfiles. Evenly distributes basepairs across X number of files specified to calculate thresh. | def make_bedfiles():
df = pd.read_csv("%s.length" % ref, sep='\t', header=None)
thresh = math.ceil(sum(df[1]) / globals()['jobs_per_pool'])
lines = []
fcount = 0
fsum = 0
for count,row in enumerate(df.index):
contig, length = list(df.loc[row, :])
fsum += length
lines.appe... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def find_positions():\n refdir = op.dirname(ref)\n intdir = op.join(refdir, 'intervals')\n # look for intervals directory with .list files\n if op.exists(intdir):\n print('\\tusing intervals dir to create bedfiles for %s' % ref)\n make_bed_from_intervals(intdir)\n return\n # loo... | [
"0.6323582",
"0.60488206",
"0.5817745",
"0.5746369",
"0.5689245",
"0.5664225",
"0.5551799",
"0.551062",
"0.5500697",
"0.54490316",
"0.543353",
"0.5415477",
"0.53688526",
"0.53139466",
"0.5303735",
"0.52852124",
"0.52845037",
"0.5283229",
"0.5273382",
"0.52659917",
"0.52022564... | 0.77063954 | 0 |
Avoid accidentally using incorrect bedfiles by removing any that exist. | def check_beddir():
bname, beddir = make_beddir()
files = [f for f in fs(beddir) if f.endswith('.bed')]
if len(files) > 0:
text = '\tThere are already existing bedfiles in %s. These will be deleted.' % beddir
print(Bcolors.WARNING + text + Bcolors.ENDC)
askforinput(tab='\t', newline=... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def cleanup() -> None:\n\n for fname in glob(os.path.join(tdir, 'alexandria.*')):\n if os.path.splitext(fname)[1] not in {'.c', '.h'}:\n os.unlink(fname)",
"def _clean_input_dir():\n for existing_file in os.listdir(join(input_dir, 'analysis')):\n ... | [
"0.67623425",
"0.6754878",
"0.67248297",
"0.6710017",
"0.6476191",
"0.6463225",
"0.6392083",
"0.6380994",
"0.6339569",
"0.63066906",
"0.6296585",
"0.6264032",
"0.6262186",
"0.62532663",
"0.6250286",
"0.62268937",
"0.6203356",
"0.6201634",
"0.6197063",
"0.61752784",
"0.6161145... | 0.7251923 | 0 |
Use cluster ID and numpools to determine how many bedfiles to create. | def determine_jobs_per_pool(numpools, totaljobs):
cluster = os.environ['CC_CLUSTER']
if cluster in ['graham', 'beluga']:
jobs_per_pool = math.floor(totaljobs / numpools)
else:
jobs_per_pool = totaljobs
return jobs_per_pool | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def num_partitions(self): # -> int:\n ...",
"def num_partitions(self): # -> None:\n ...",
"def make_bedfiles():\n df = pd.read_csv(\"%s.length\" % ref, sep='\\t', header=None)\n thresh = math.ceil(sum(df[1]) / globals()['jobs_per_pool'])\n lines = []\n fcount = 0\n fsum = 0\n fo... | [
"0.5990177",
"0.5830299",
"0.57824516",
"0.5737202",
"0.5685508",
"0.53107566",
"0.52840227",
"0.5245606",
"0.5210243",
"0.5175091",
"0.5117674",
"0.5112534",
"0.51030594",
"0.50904185",
"0.5052817",
"0.5039198",
"0.5023452",
"0.5008179",
"0.5007929",
"0.5004022",
"0.49951395... | 0.57108104 | 4 |
`other` is the event triggering a transition. | def __add__(self, other):
if not isinstance(other, Event):
raise Error(
'expected an Event instance, but got {}'.format(repr(other)))
self._event = other
return self | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def transition(self, action):\n raise NotImplementedError",
"def transition(self):\n raise NotImplementedError()",
"def test_other_event(self):\n M = simulation.EventMonitor(self.G, event='other')\n sim = simulation.Simulation(self.G, M, dt=self.dt)\n sim.run(self.t_max)\n\n times = (~sel... | [
"0.5809566",
"0.577302",
"0.5757552",
"0.5671358",
"0.56565297",
"0.56291336",
"0.5628853",
"0.5579457",
"0.55250674",
"0.5485554",
"0.5344338",
"0.5312438",
"0.5298879",
"0.5295169",
"0.5270889",
"0.52699006",
"0.524914",
"0.52199113",
"0.5210242",
"0.51854557",
"0.5164349",... | 0.50949544 | 22 |
`other` is the state to transition to. | def __rshift__(self, other):
if not isinstance(other, State):
raise Error(
'expected a State instance, but got {}'.format(repr(other)))
self._transitions.append((self._event, other))
return self | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def __eq__(self, other):\r\n if other:\r\n if self.state == other.state:\r\n return True",
"def switch_to_state(self, Rover, name):\n name.execute(Rover)\n self.curr_state = name",
"def state_changed(self, old_state, new_state, target_state):\n pass",
"de... | [
"0.60229385",
"0.5950636",
"0.58616793",
"0.5826824",
"0.57995635",
"0.57883424",
"0.57480127",
"0.57173836",
"0.5704981",
"0.5686667",
"0.5667739",
"0.566679",
"0.56586593",
"0.5653753",
"0.5637859",
"0.5632062",
"0.5630901",
"0.5603314",
"0.5575363",
"0.55619264",
"0.556186... | 0.6611836 | 0 |
`key` is the transition guard. | def __getitem__(self, key):
if not callable(key):
raise Error('expected a callable guard, but got {}'.format(key))
self.guard = key
return self | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def key_state(self, key):\r\n return self.handler.key_state(key_to_code(key))",
"def handle_key(self, key):\n direction = DIRECTIONS.get(key)\n if direction:\n self.move(direction)",
"def _get_from_back(self, key):\n\n raise KeyError",
"def on_key_event(self, key):\n ... | [
"0.6381055",
"0.6206628",
"0.6192051",
"0.6084931",
"0.60613495",
"0.6039523",
"0.59086335",
"0.5875724",
"0.5848142",
"0.58422166",
"0.5838721",
"0.5838721",
"0.5837078",
"0.578663",
"0.57231176",
"0.5712439",
"0.56723154",
"0.56640273",
"0.5640742",
"0.56326944",
"0.5571676... | 0.58493537 | 8 |
`other` is the transition action. | def __truediv__(self, other):
if not callable(other):
raise Error( 'expected a callable action, but got {}'.format(other))
self.action = other
return self | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def transition(self, action):\n raise NotImplementedError",
"def prev_action(self):\n raise NotImplementedError",
"def handle_other(self):\n pass",
"def choose_action(self):\r\n pass",
"def __ne__(self, other):\n if not isinstance(other, SubsequentAction):\n return... | [
"0.65385056",
"0.6014882",
"0.5783903",
"0.5669829",
"0.56653583",
"0.5573415",
"0.5570023",
"0.5556622",
"0.55503625",
"0.5479104",
"0.54706556",
"0.5465142",
"0.5462288",
"0.54350334",
"0.5428809",
"0.5422753",
"0.54097885",
"0.5403576",
"0.53994787",
"0.5376164",
"0.537524... | 0.57327193 | 3 |
Process given event `event`. Raises an `UnexpectedEventError` if given event was unexpected. | def process_event(self, event):
print('Current state: {}, Event to process: {}'.format(
self._current_state.name,
event))
# # Is the event expected?
# try:
# transition = self._current_state.events[type(event)]
# except KeyError:
# raise ... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def process_event(event_processor, event):\n\n log = logging.getLogger(__name__)\n try:\n log.debug(\"Processing Event: %s - %s\" % (event[\"content_type\"], event[\"routing_key\"]))\n event_processor.process_event(event[\"content_type\"], event[\"routing_key\"], event[\"body\"])\n except:\n... | [
"0.70300627",
"0.6771751",
"0.67416",
"0.66380054",
"0.642705",
"0.6365013",
"0.6362536",
"0.62995046",
"0.6274929",
"0.6259453",
"0.61244756",
"0.6117413",
"0.6094892",
"0.60790133",
"0.59835047",
"0.5926056",
"0.59134126",
"0.5895901",
"0.58831525",
"0.5871841",
"0.5862529"... | 0.69930625 | 1 |
Take a list of package loaders and returns a list of package names | def test_get_package_name_list():
package_list = [warrior.Actions.CommonActions]
result = kw_driver.get_package_name_list(package_list)
check1 = 'warrior.Actions.CommonActions' in result
assert check1 == True | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_available_packages():\n all_providers_yaml = load_package_data()\n provider_package_names = [\n provider[\"package-name\"] for provider in all_providers_yaml if not provider.get(\"suspended\")\n ]\n return [\n \"apache-airflow\",\n \"docker-stack\",\n *provider_packa... | [
"0.680388",
"0.644909",
"0.64283586",
"0.64128625",
"0.6353792",
"0.63058865",
"0.6247957",
"0.6229011",
"0.6202141",
"0.6185931",
"0.61721045",
"0.61707085",
"0.6143838",
"0.6106092",
"0.6104382",
"0.6086591",
"0.6051464",
"0.6011092",
"0.6003829",
"0.59999084",
"0.5982122",... | 0.0 | -1 |
Executes the keyword provided by product driver | def test_execute_keyword():
keyword = 'store_in_repo'
data_repository = {'db_obj': False, 'war_file_type': 'Case', 'wt_results_execdir': None,\
'wt_logs_execdir': None, 'wt_name': 'test', 'step_num':None}
args_repository = {'datavar': 'a', 'datavalue': 'b'}
warrior.Framework.Utils.testcase_Utils.pS... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def execute_method_for_keyword(self):\n\n kwargs, kw_status = self.get_argument_as_keywords()\n print_info(\"The Arguments passed for the current Step is: '{0}'\".format(kwargs))\n if kw_status:\n # Execute the corresponding method\n method_loader = self.exec_obj.im_class... | [
"0.6734542",
"0.66397667",
"0.6439564",
"0.6229538",
"0.6033111",
"0.6021556",
"0.59995455",
"0.56600654",
"0.5628254",
"0.5510531",
"0.5510531",
"0.5477481",
"0.546144",
"0.5443456",
"0.5430221",
"0.5398615",
"0.5371088",
"0.5365336",
"0.5324174",
"0.53204644",
"0.53204644",... | 0.70761853 | 0 |
Executes the keyword provided by product driver | def test_execute_keyword_empty_package_list():
keyword = ''
data_repository = {'db_obj': False, 'war_file_type': 'Case', 'wt_results_execdir': None,\
'wt_logs_execdir': None, 'wt_name': 'test', 'step_num':None}
args_repository = {'datavar': 'a', 'datavalue': 'b'}
warrior.Framework.Utils.testcase_Ut... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_execute_keyword():\n keyword = 'store_in_repo'\n data_repository = {'db_obj': False, 'war_file_type': 'Case', 'wt_results_execdir': None,\\\n 'wt_logs_execdir': None, 'wt_name': 'test', 'step_num':None}\n args_repository = {'datavar': 'a', 'datavalue': 'b'}\n warrior.Framework.Utils.testca... | [
"0.7076708",
"0.67344",
"0.6639031",
"0.6439181",
"0.60340077",
"0.6021442",
"0.5999301",
"0.56590194",
"0.5627547",
"0.55113786",
"0.55113786",
"0.5477494",
"0.5462222",
"0.54428744",
"0.5431307",
"0.53987",
"0.53705627",
"0.53651017",
"0.532413",
"0.5321094",
"0.5321094",
... | 0.6230661 | 4 |
Create a normal boring user, not a super user. This user has no news related permissions by default. | def create_test_user(self):
user = User.objects.create_user(
username='test@email.com', password='password')
user.groups.add(self.group)
user.user_permissions.add(p('wagtailadmin.access_admin'))
user.save()
return user | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def create_user(self):\n User.objects.create_user('test', 'testing@test.com', 'testing')",
"def create_user(self):\n return User.objects.create_user(**self.user_data)",
"def create_new_user(self):\n username = 'pseudo'\n email = 'carole@tests.com'\n password = '00000000'\n ... | [
"0.77364284",
"0.7445896",
"0.7428837",
"0.7307158",
"0.7305627",
"0.7264574",
"0.7252679",
"0.7195865",
"0.71800965",
"0.71787715",
"0.7176444",
"0.7171227",
"0.7150902",
"0.7139617",
"0.71316",
"0.7130504",
"0.71181756",
"0.7114516",
"0.7110715",
"0.71024036",
"0.70900804",... | 0.70274866 | 27 |
Test the chooser when there are multiple valid choices, and some missing due to lack of permissions. | def test_chooser_multiple_choices(self):
root_page = Page.objects.get(pk=2)
news1 = root_page.add_child(instance=NewsIndex(
title='Normal News 1', slug='news-1'))
news2 = root_page.add_child(instance=NewsIndex(
title='Normal News 2', slug='news-2'))
secondary_news... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_validate_choices_ok(self, choices, value):\n opt = scheme.Option('test-option', choices=choices)\n opt.validate('foo', value)",
"def test_choose_from_list_6(self, ask_mock):\n ask_mock.side_effect = [False, False, False]\n field = basic.choose_from_list(self.options)\n ... | [
"0.66817105",
"0.64637005",
"0.6450645",
"0.64118063",
"0.64103216",
"0.6404033",
"0.63465583",
"0.6318701",
"0.6296135",
"0.6285464",
"0.6275242",
"0.6213478",
"0.62034816",
"0.6117522",
"0.60733455",
"0.60711354",
"0.60417986",
"0.6000661",
"0.5982559",
"0.59810966",
"0.597... | 0.6283165 | 10 |
Test the chooser when there is a single valid choice, and some missing due to lack of permissions. | def test_chooser_one_choice(self):
root_page = Page.objects.get(pk=2)
news = root_page.add_child(instance=NewsIndex(
title='News', slug='news'))
root_page.add_child(instance=SecondaryNewsIndex(
title='Secondary News', slug='secondary-news'))
response = self.clien... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def handle_choice(self, choice):\n if choice not in self.choices:\n error = \"Invalid Choice please choose from {}\".format(\n \", \".join(self.choices)\n )\n return error\n return choice",
"def test_validate_choices_ok(self, choices, value):\n ... | [
"0.6474098",
"0.64373815",
"0.6308194",
"0.6300221",
"0.6291836",
"0.624899",
"0.6239352",
"0.6210023",
"0.6153591",
"0.6152879",
"0.6147857",
"0.6137659",
"0.6074012",
"0.6074012",
"0.6031723",
"0.60148275",
"0.60034484",
"0.59956425",
"0.5980814",
"0.5973894",
"0.5972679",
... | 0.5406085 | 96 |
Test the chooser when there are no valid choices. | def test_chooser_no_perms(self):
root_page = Page.objects.get(pk=2)
root_page.add_child(instance=NewsIndex(
title='News', slug='news'))
root_page.add_child(instance=SecondaryNewsIndex(
title='Secondary News', slug='secondary-news'))
response = self.client.get(rev... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_validate_choices_failure(self, choices, value):\n opt = scheme.Option('test-option', choices=choices)\n with pytest.raises(errors.SchemeValidationError):\n opt.validate('foo', value)",
"def test_vote_when_none_choice_was_selected(self):\n question_no_choices = create_ques... | [
"0.6961869",
"0.6830949",
"0.6724233",
"0.66625845",
"0.6622834",
"0.64742875",
"0.62666386",
"0.62199634",
"0.6218201",
"0.61922085",
"0.61864614",
"0.616241",
"0.61574924",
"0.6151992",
"0.6121114",
"0.60897505",
"0.60819733",
"0.60698235",
"0.6036761",
"0.6030251",
"0.6027... | 0.5461697 | 86 |
Test the chooser when there are no news items, but the user has relevant permissions. | def test_chooser_has_perms_no_news(self):
response = self.client.get(reverse('wagtailnews:choose'))
self.assertEqual(response.status_code, 200) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_chooser_no_perms(self):\n root_page = Page.objects.get(pk=2)\n root_page.add_child(instance=NewsIndex(\n title='News', slug='news'))\n root_page.add_child(instance=SecondaryNewsIndex(\n title='Secondary News', slug='secondary-news'))\n\n response = self.cl... | [
"0.73646075",
"0.61538947",
"0.6025898",
"0.5865416",
"0.58521277",
"0.5842307",
"0.582308",
"0.57966214",
"0.57383853",
"0.572046",
"0.5719911",
"0.5717424",
"0.5702386",
"0.56986713",
"0.56581986",
"0.5656366",
"0.56463605",
"0.56425077",
"0.56178695",
"0.5616088",
"0.56047... | 0.813045 | 0 |
Check the user is allowed to access the news index list | def test_news_index_has_perm(self):
self.assertStatusCode(self.url, 200) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_is_staff_access(self):\r\n self.check_index_and_outline(self.client)",
"def can_view(self, user):\r\n return True",
"def test_news_index_no_perm(self):\n self.assertStatusCode(self.url, 403)",
"def has_super_access():\n current_user = frappe.get_doc('User', frappe.session.use... | [
"0.71869683",
"0.701034",
"0.6941104",
"0.6793444",
"0.67805856",
"0.67128044",
"0.66727525",
"0.66707075",
"0.66169983",
"0.6611218",
"0.65815014",
"0.65591043",
"0.6556533",
"0.6549251",
"0.6537417",
"0.6531668",
"0.65135354",
"0.65135354",
"0.65135354",
"0.64980245",
"0.64... | 0.72420925 | 0 |
Check the user is denied access to the news index list | def test_news_index_no_perm(self):
self.assertStatusCode(self.url, 403) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_everyone_denied(self):",
"def test_news_index_has_perm(self):\n self.assertStatusCode(self.url, 200)",
"def test_if_forbiden_for_authenticated_permissions(self):\r\n res = self.client_authenticated.get(reverse(LIST_USER_URL),data={})\r\n self.assertEqual(res.status_code, status.HTT... | [
"0.6909648",
"0.6811918",
"0.66676253",
"0.661869",
"0.6616912",
"0.6532068",
"0.6532068",
"0.6508571",
"0.6508571",
"0.6508571",
"0.6508571",
"0.6493177",
"0.6466608",
"0.64571303",
"0.6441584",
"0.64142835",
"0.6403795",
"0.63929635",
"0.6385503",
"0.63569266",
"0.6335534",... | 0.75531065 | 0 |
Test users can create NewsItems | def test_has_permission(self):
self.assertStatusCode(self.url, 200) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_news_create(self):\n news = News.save_news('www.testing.com', 'testing', 'testing is painful but important', datetime.utcnow(), 'www.sometestimg.url' )\n news_created = News.query.get(news.url)\n\n all_news = News.query.all()\n\n self.assertEqual(len(all_news), 1)\n self... | [
"0.6972671",
"0.6793335",
"0.67640114",
"0.672659",
"0.67262614",
"0.67136234",
"0.6670086",
"0.66526836",
"0.6628409",
"0.6612906",
"0.6513603",
"0.64985555",
"0.64849335",
"0.64679796",
"0.64426315",
"0.64425945",
"0.64192855",
"0.6411061",
"0.6403463",
"0.63438976",
"0.634... | 0.0 | -1 |
Users need both add and edit. Add is not sufficient | def test_only_add_perm(self):
self.assertStatusCode(self.url, 403) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def edit(self):\n\n pass",
"def user_can_edit(self, user):\n return user == self.owner",
"def allow_to_edit(user):\n return allow_to_edit_well(user)",
"def add(self, user: U) -> None:\n ...",
"def edit():",
"def home_edituser():\n\tpass",
"def can_edit(self, user):\n return s... | [
"0.6993943",
"0.67083204",
"0.66459835",
"0.66431636",
"0.64818656",
"0.6458078",
"0.6394788",
"0.6369395",
"0.6352475",
"0.63279235",
"0.63279235",
"0.62939936",
"0.6235992",
"0.6187183",
"0.6171549",
"0.6162502",
"0.6141428",
"0.6141428",
"0.6140597",
"0.6133903",
"0.612375... | 0.0 | -1 |
Users need both add and edit. Edit is not sufficient | def test_only_edit_perm(self):
self.assertStatusCode(self.url, 403) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def edit(self):\n\n pass",
"def edit():",
"def edit(self, **kwargs):\n ...",
"def allow_to_edit(user):\n return allow_to_edit_well(user)",
"def user_can_edit(self, user):\n return user == self.owner",
"def home_edituser():\n\tpass",
"def can_edit(self, user):\n return self.au... | [
"0.746256",
"0.70134765",
"0.68477565",
"0.68377763",
"0.6837059",
"0.66111666",
"0.65164244",
"0.6491908",
"0.6365437",
"0.62689954",
"0.6266815",
"0.62600476",
"0.62545645",
"0.62244517",
"0.6216448",
"0.62075764",
"0.6207041",
"0.6185706",
"0.61667067",
"0.6128112",
"0.612... | 0.0 | -1 |
Test user can not create without permission | def test_no_permission(self):
self.assertStatusCode(self.url, 403) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_if_not_created_authenticated_permissions(self):\r\n payload = {\r\n \"email\": \"t@t.pl\",\r\n \"password\": \"password\",\r\n \"name\": \"asdasd\",\r\n \"is_superuser\": False,\r\n }\r\n\r\n res = self.client_authenticated.post(reverse(CREA... | [
"0.7918982",
"0.7771127",
"0.7771127",
"0.7771127",
"0.77341586",
"0.74601835",
"0.742769",
"0.7394454",
"0.7384439",
"0.7380802",
"0.73551154",
"0.73485357",
"0.72738314",
"0.7262976",
"0.7240507",
"0.72152865",
"0.7182163",
"0.71769214",
"0.7160252",
"0.71446407",
"0.710691... | 0.0 | -1 |
Test that the add button appears | def test_add_button_appears(self):
response = self.client.get(reverse('wagtailnews:index', kwargs={
'pk': self.index.pk}))
self.assertContains(response, self.url) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_add_button(self):\n btn = utils.add_button()\n self.assertIsInstance(btn, Button)",
"def test_create_custom_button(self):\n pass",
"def test_update_custom_button(self):\n pass",
"def test_add_form(self):\n\n with self.client:\n result = self.client.get('... | [
"0.7815246",
"0.7325054",
"0.69925904",
"0.69816005",
"0.6961596",
"0.67576945",
"0.6751668",
"0.67433363",
"0.6669086",
"0.65231645",
"0.64985496",
"0.64942086",
"0.6476833",
"0.64543915",
"0.64284575",
"0.64268816",
"0.64163435",
"0.64100766",
"0.63750327",
"0.634055",
"0.6... | 0.7192711 | 2 |
Test that the add button does not appear | def test_no_add_button_appears(self):
response = self.client.get(reverse('wagtailnews:index', kwargs={
'pk': self.index.pk}))
self.assertNotContains(response, self.url) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_add_button(self):\n btn = utils.add_button()\n self.assertIsInstance(btn, Button)",
"def test_can_not_add_more(self):\n set_up_one_user(self, 1, 0)\n login = self.client.login(username='test', password='2HJ1vRV0Z&3iD')\n response = self.client.get(reverse('index'))\n ... | [
"0.7187858",
"0.7186731",
"0.71256816",
"0.7048631",
"0.68383086",
"0.6767297",
"0.65683776",
"0.65635896",
"0.65399176",
"0.65163064",
"0.6511349",
"0.65104187",
"0.64470893",
"0.6418005",
"0.63748497",
"0.62681",
"0.62287384",
"0.6181235",
"0.6170643",
"0.61644083",
"0.6162... | 0.7127412 | 2 |
Test users can create NewsItems | def test_has_permission(self):
self.assertStatusCode(self.url, 200) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_news_create(self):\n news = News.save_news('www.testing.com', 'testing', 'testing is painful but important', datetime.utcnow(), 'www.sometestimg.url' )\n news_created = News.query.get(news.url)\n\n all_news = News.query.all()\n\n self.assertEqual(len(all_news), 1)\n self... | [
"0.6971999",
"0.6795873",
"0.67656213",
"0.6726738",
"0.67258906",
"0.67142934",
"0.66693985",
"0.66526544",
"0.6627908",
"0.6612012",
"0.6514119",
"0.65005606",
"0.64833426",
"0.6468198",
"0.64452285",
"0.6442098",
"0.64234686",
"0.6410922",
"0.6403401",
"0.63442045",
"0.634... | 0.0 | -1 |
Test user can not edit without permission | def test_no_permission(self):
self.assertStatusCode(self.url, 403) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_only_edit_perm(self):\n self.assertStatusCode(self.url, 403)",
"def test_handle_edit_not_admin(self):\n test_user = User(\"userid\")\n team = Team(\"BRS\", \"brs\", \"brS\")\n self.db.retrieve.return_value = test_user\n self.db.query.return_value = [team]\n with... | [
"0.8186143",
"0.78191847",
"0.7762394",
"0.7759971",
"0.77389044",
"0.7626638",
"0.7610116",
"0.75772184",
"0.75056833",
"0.7469706",
"0.74189234",
"0.7386552",
"0.73486775",
"0.7288264",
"0.72760946",
"0.7274553",
"0.7251353",
"0.72066283",
"0.7193407",
"0.7173011",
"0.71517... | 0.0 | -1 |
Test that the edit button appears | def test_edit_button_appears(self):
response = self.client.get(reverse('wagtailnews:index', kwargs={
'pk': self.index.pk}))
self.assertContains(response, self.url) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def click_the_edit_button_that_appears(driver):\n driver.find_element_by_xpath(xpaths.users.eric_Edit_Button).click()",
"def test_update_custom_button(self):\n pass",
"def test_delete_button_appears_edit(self):\n response = self.client.get(reverse('wagtailnews:edit', kwargs={\n 'pk'... | [
"0.73463446",
"0.7318908",
"0.71983856",
"0.7112342",
"0.7079817",
"0.703186",
"0.69559354",
"0.69065946",
"0.68714213",
"0.6804673",
"0.66963583",
"0.66772723",
"0.66686046",
"0.66202444",
"0.6597754",
"0.6578515",
"0.654788",
"0.6525747",
"0.6478392",
"0.647718",
"0.647047"... | 0.76415926 | 0 |
Test that the edit button does not appear | def test_no_edit_button_appears(self):
response = self.client.get(reverse('wagtailnews:index', kwargs={
'pk': self.index.pk}))
self.assertNotContains(response, self.url) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_no_delete_button_appears_edit(self):\n response = self.client.get(reverse('wagtailnews:edit', kwargs={\n 'pk': self.index.pk, 'newsitem_pk': self.newsitem.pk}))\n self.assertNotContains(response, self.url)",
"def test_that_not_logged_in_does_not_shows_edit_button(testapp):\n ... | [
"0.7547432",
"0.7475458",
"0.7041201",
"0.69749355",
"0.6963794",
"0.67356116",
"0.67291766",
"0.67238355",
"0.6703853",
"0.66721207",
"0.66637516",
"0.6596547",
"0.64760447",
"0.64688814",
"0.64615196",
"0.6449737",
"0.6417447",
"0.62691915",
"0.62185276",
"0.6200553",
"0.61... | 0.7441782 | 2 |
Test users can unpublish NewsItems | def test_has_permission(self):
self.assertStatusCode(self.url, 200) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_unpublish_button_appears(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertContains(response, self.url)",
"def test_no_unpublish_button_appears(self):\n response = self.client.get(reverse('wagtailnews:index', k... | [
"0.7390404",
"0.7325027",
"0.72067845",
"0.6946993",
"0.67321724",
"0.65183187",
"0.63950413",
"0.6372304",
"0.62763035",
"0.6249247",
"0.6227952",
"0.6131288",
"0.61038554",
"0.6050085",
"0.6009835",
"0.5970444",
"0.59577054",
"0.594893",
"0.594354",
"0.5930259",
"0.59085625... | 0.0 | -1 |
Test user can not unpublish without permission | def test_no_permission(self):
self.assertStatusCode(self.url, 403) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_unpublish_as_editor(self):\n e = self.make_event()\n e.published=True\n e.save()\n resp = self.request_with_role('/admin/events/unpublish/%s' % e.id, role='editor',\n method='POST')\n self.assertEqual(resp.status_code, 401)\n self.ass... | [
"0.74638283",
"0.7355094",
"0.70630115",
"0.68820363",
"0.6800916",
"0.65782726",
"0.6507541",
"0.6507541",
"0.6506113",
"0.64861435",
"0.64700913",
"0.6458604",
"0.64489305",
"0.6434196",
"0.6426245",
"0.6423437",
"0.6409583",
"0.6387935",
"0.63756144",
"0.63734823",
"0.6311... | 0.58224934 | 91 |
Test that the unpublish button appears | def test_unpublish_button_appears(self):
response = self.client.get(reverse('wagtailnews:index', kwargs={
'pk': self.index.pk}))
self.assertContains(response, self.url) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_no_unpublish_button_appears(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertNotContains(response, self.url)",
"def test_unpublish_as_publisher(self):\n e = self.make_event()\n e.published=True\n ... | [
"0.79772043",
"0.70692533",
"0.67827237",
"0.6501703",
"0.6320983",
"0.6103904",
"0.60975456",
"0.6091303",
"0.60491884",
"0.6046391",
"0.6036287",
"0.6016861",
"0.60101634",
"0.59801006",
"0.5962303",
"0.5924949",
"0.5915684",
"0.5897269",
"0.58937395",
"0.58638966",
"0.5822... | 0.8308116 | 0 |
Test that the unpublish button does not appear | def test_no_unpublish_button_appears(self):
response = self.client.get(reverse('wagtailnews:index', kwargs={
'pk': self.index.pk}))
self.assertNotContains(response, self.url) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_unpublish_button_appears(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertContains(response, self.url)",
"def test_unpublish_as_publisher(self):\n e = self.make_event()\n e.published=True\n e.sav... | [
"0.8303605",
"0.71829754",
"0.69715375",
"0.6870269",
"0.67917633",
"0.65356666",
"0.65167207",
"0.64881694",
"0.6480685",
"0.63422185",
"0.6219732",
"0.6219732",
"0.62114465",
"0.6083142",
"0.60725623",
"0.6066293",
"0.60468704",
"0.6006602",
"0.5987236",
"0.5967933",
"0.594... | 0.83218503 | 0 |
Test users can delete NewsItems | def test_has_permission(self):
self.assertStatusCode(self.url, 200) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_delete_item_using_delete(self):\n pass",
"def test_delete_of_an_escalated_article_with_user(self):\n token = self.user1.token()\n self.client.credentials(\n HTTP_AUTHORIZATION='Bearer ' + token)\n resp = self.delete_article()\n self.assertEqual(resp.status_c... | [
"0.7346576",
"0.7196256",
"0.7074144",
"0.7073241",
"0.70127547",
"0.6967538",
"0.69355977",
"0.68979067",
"0.6893966",
"0.6867691",
"0.68661195",
"0.6843971",
"0.6843971",
"0.6819755",
"0.6792642",
"0.67875606",
"0.6777115",
"0.67718256",
"0.6741807",
"0.6733608",
"0.6723089... | 0.0 | -1 |
Test user can not delete without permission | def test_no_permission(self):
self.assertStatusCode(self.url, 403) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_delete_permission(self):\r\n self.assertFalse(self.creator_admin.has_delete_permission(self.request))",
"def test_delete_user(self):\n pass",
"def test_delete_user(self):\n pass",
"def testDeleteIsAllowed(self):\n UserAPI().create([(u'user', u'secret', u'User', u'user@exa... | [
"0.8438554",
"0.8078905",
"0.8078905",
"0.7888322",
"0.78348",
"0.78141594",
"0.7754141",
"0.77347636",
"0.7728823",
"0.7716653",
"0.7666044",
"0.7666044",
"0.765646",
"0.76123804",
"0.74949557",
"0.7486341",
"0.7471117",
"0.74592483",
"0.7451529",
"0.74371904",
"0.74333715",... | 0.0 | -1 |
Test that the delete button appears on the index page | def test_delete_button_appears_index(self):
response = self.client.get(reverse('wagtailnews:index', kwargs={
'pk': self.index.pk}))
self.assertContains(response, self.url) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_delete_custom_button(self):\n pass",
"def test_delete_button_appears_edit(self):\n response = self.client.get(reverse('wagtailnews:edit', kwargs={\n 'pk': self.index.pk, 'newsitem_pk': self.newsitem.pk}))\n self.assertContains(response, self.url)",
"def test_no_delete_b... | [
"0.7964029",
"0.7892996",
"0.7400673",
"0.73430234",
"0.71478194",
"0.7119191",
"0.7053078",
"0.6989711",
"0.6853455",
"0.6781707",
"0.6727742",
"0.6702557",
"0.66956884",
"0.6683815",
"0.6649543",
"0.66001225",
"0.65985805",
"0.65659857",
"0.6558182",
"0.6522168",
"0.6506768... | 0.81418383 | 0 |
Test that the delete button does not appear on the index page | def test_no_delete_button_appears_index(self):
response = self.client.get(reverse('wagtailnews:index', kwargs={
'pk': self.index.pk}))
self.assertNotContains(response, self.url) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_delete_button_appears_index(self):\n response = self.client.get(reverse('wagtailnews:index', kwargs={\n 'pk': self.index.pk}))\n self.assertContains(response, self.url)",
"def test_no_delete_button_appears_edit(self):\n response = self.client.get(reverse('wagtailnews:edit... | [
"0.7858739",
"0.78354084",
"0.7627659",
"0.75596243",
"0.74663603",
"0.7334929",
"0.70581496",
"0.7052979",
"0.7024209",
"0.68837976",
"0.6852879",
"0.67638767",
"0.67259175",
"0.671539",
"0.6689493",
"0.66716695",
"0.6657678",
"0.66534823",
"0.66348356",
"0.6614664",
"0.6606... | 0.80642617 | 0 |
Test that the delete button appears on the edit page | def test_delete_button_appears_edit(self):
response = self.client.get(reverse('wagtailnews:edit', kwargs={
'pk': self.index.pk, 'newsitem_pk': self.newsitem.pk}))
self.assertContains(response, self.url) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_delete_custom_button(self):\n pass",
"def test_no_delete_button_appears_edit(self):\n response = self.client.get(reverse('wagtailnews:edit', kwargs={\n 'pk': self.index.pk, 'newsitem_pk': self.newsitem.pk}))\n self.assertNotContains(response, self.url)",
"def test_comme... | [
"0.8166414",
"0.7414952",
"0.723374",
"0.7127024",
"0.6995213",
"0.68870395",
"0.6840543",
"0.67911434",
"0.6724883",
"0.6652456",
"0.66225034",
"0.65894556",
"0.655768",
"0.6549066",
"0.6507977",
"0.6503928",
"0.6462864",
"0.6460414",
"0.64468193",
"0.64352983",
"0.637209",
... | 0.82615966 | 0 |
Test that the delete button does not appear on the edit page | def test_no_delete_button_appears_edit(self):
response = self.client.get(reverse('wagtailnews:edit', kwargs={
'pk': self.index.pk, 'newsitem_pk': self.newsitem.pk}))
self.assertNotContains(response, self.url) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_delete_button_appears_edit(self):\n response = self.client.get(reverse('wagtailnews:edit', kwargs={\n 'pk': self.index.pk, 'newsitem_pk': self.newsitem.pk}))\n self.assertContains(response, self.url)",
"def test_delete_custom_button(self):\n pass",
"def test_no_edit_but... | [
"0.7922662",
"0.78152597",
"0.74040025",
"0.7340192",
"0.7057694",
"0.6956841",
"0.6919261",
"0.68916804",
"0.6828039",
"0.6781857",
"0.67025316",
"0.6697165",
"0.66651994",
"0.658142",
"0.6545721",
"0.6544052",
"0.6535346",
"0.6535192",
"0.6469189",
"0.64268947",
"0.6397583"... | 0.8121819 | 0 |
resize image to 227x227, since alexnet only take 227x227 input normalize and standardize input so it will learn faster | def process_images(image, label):
# Normalize images to have a mean of 0 and standard deviation of 1
# per_image_standardization is preferred, which normalize the entire image to mean zero and std 1.
# It also make learning fast.
image = tf.image.per_image_standardization(image)
# Resize images from... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def resize_128(img): \n return cv2.resize(img,(128,128))",
"def image_resize(img, min_size=600, max_size=1000):\n C, H, W = img.shape\n scale1 = min_size / min(H, W)\n scale2 = max_size / max(H, W)\n scale = min(scale1, scale2)\n img = img / 255\n img = transform.resize(img, (C, H * scale, W... | [
"0.71284246",
"0.6869551",
"0.6833134",
"0.6727817",
"0.6690876",
"0.6602364",
"0.6560142",
"0.6558303",
"0.6550661",
"0.65303195",
"0.65273684",
"0.64954686",
"0.649254",
"0.6489743",
"0.6474268",
"0.6472914",
"0.6454352",
"0.644202",
"0.64024377",
"0.6396688",
"0.6371476",
... | 0.0 | -1 |
Load user submission to staging area Loads the testing files into the tmpdir Will create build folder and cd into that for compiling and marking Calls the compile and marking functions. If the program does not compile, the submission receives a zero and is not passed forward to marking. | def loadTmpDir(submissiondir, assndir, tmpdir, outputdir):
# Deals with the joys of connex BS
# Copy and open grade file
in_gradefname = os.path.join(submissiondir, 'grades.csv')
out_gradefname = os.path.join(outputdir, 'grades.csv')
if not os.path.exists(in_gradefname):
print("grade.csv do... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def main():\n # Specify path\n training_filepath = 'data/training.csv'\n testing_filepath = 'data/public_test_features.csv'\n\n # Check whether the specified path exists or not\n isExist = os.path.exists(training_filepath)\n if(isExist):\n print('Reading from ' + training_filepath)\n el... | [
"0.5892896",
"0.5865184",
"0.5749212",
"0.5715827",
"0.566875",
"0.56655097",
"0.5611292",
"0.55734986",
"0.5533466",
"0.5521134",
"0.54782826",
"0.5474354",
"0.54190505",
"0.5393382",
"0.53775716",
"0.5355639",
"0.53504",
"0.53474844",
"0.5336007",
"0.5317935",
"0.5317675",
... | 0.5278558 | 23 |
Compile the user submission CMakeLists.txt should be in the cwd | def cpp_compile(threads=2):
cmake_ret = subprocess.run(["cmake", "../"], encoding='utf-8', stdout=subprocess.PIPE, stderr=subprocess.PIPE)
output = cmake_ret.stdout
errors = cmake_ret.stderr
output = ""
errors = ""
make_ret = subprocess.run(["make", f"-j{threads}"], encoding='utf-8', stdout=su... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def submit(user, user_file):\n user_job = '{\"localFile\" : \"userfile\", \"destFile\" : \"primes.py\"}'.replace(\n \"userfile\", user_file)\n run(['bash', 'submit.sh', user_file, user_job, user])",
"def build():\n\timport subprocess\n\tfrom os import listdir, getcwd\n\tfrom os.path import isfile, j... | [
"0.5829583",
"0.57398903",
"0.5694149",
"0.56572914",
"0.56046396",
"0.5515011",
"0.54561096",
"0.54488283",
"0.5433041",
"0.54104203",
"0.54102594",
"0.5293359",
"0.5293359",
"0.52712715",
"0.52614814",
"0.51956767",
"0.5161417",
"0.514239",
"0.51241314",
"0.5068415",
"0.506... | 0.47778746 | 65 |
Mark student submissions using the test file Runs "make test" in cwd | def mark():
test_ret = subprocess.run(["make", "test"], encoding='utf-8',
stdout=subprocess.PIPE, stderr=subprocess.PIPE)
output = test_ret.stdout
errors = test_ret.stderr
lines = output.split('\n')
# find the line with the info we are looking for
i = 0
for idx, l in enumerate(l... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def mark_students(submitdir):\n all_students = os.listdir(submitdir)\n all_students.remove(\"copyToMarking\")\n for student in all_students:\n \n # construct the path to the individual student's submission\n studentdir = submitdir + os.sep + student + os.sep + \"marking\" + os.sep... | [
"0.63928264",
"0.634952",
"0.61645955",
"0.60830367",
"0.60749525",
"0.6020589",
"0.5999138",
"0.59990764",
"0.5984428",
"0.59788895",
"0.59666836",
"0.59627587",
"0.5923612",
"0.5902439",
"0.5902212",
"0.5883938",
"0.582872",
"0.5822552",
"0.5814578",
"0.58090425",
"0.580015... | 0.6165958 | 2 |
Frame a time series as a supervised learning dataset. | def series_to_supervised(self,data, n_in=1, n_out=1, dropnan=True):
n_vars = 1 if type(data) is list else data.shape[1]
df = pd.DataFrame(data)
cols, names = list(), list()
# input sequence (t-n, ... t-1)
for i in range(n_in, 0, -1):
cols.append(df.shift(i))
names += [('var%d(t-%d)' % ... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def timeseries_dataframe(self):\n return",
"def get_dataset_from_series(dataset_pproc, n_hours):\n # obtenemos los valores como una matriz\n values = dataset_pproc.values\n # ensure all data is float\n values = values.astype(\"float32\")\n # normalize features\n scaler = MinMaxScaler(fea... | [
"0.6862202",
"0.6632737",
"0.63935363",
"0.6334693",
"0.6085144",
"0.6066157",
"0.5989121",
"0.5984844",
"0.5874774",
"0.58342695",
"0.58256793",
"0.582205",
"0.581701",
"0.57913315",
"0.5782771",
"0.57459015",
"0.5725978",
"0.5696099",
"0.5673701",
"0.56698066",
"0.56486726"... | 0.5799269 | 13 |
Quantify the rhythmicity of an oscillation using lagged coherence. | def lagged_coherence(sig, f_range, fs, n_cycles=3, f_step=1, return_spectrum=False):
# Identify Fourier components of interest
freqs = np.arange(f_range[0], f_range[1] + f_step, f_step)
# Calculate lagged coherence for each frequency
lc = np.zeros(len(freqs))
for ind, freq in enumerate(freqs):
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _calculate_strehl(self):\n\n self.strehl = np.exp(-1*((2*np.pi/self.science_wavelength)*self.high_order_wfe)**2)",
"def rochelobe(q):\n return 0.49*q**(2./3)/(0.6*q**(2./3) + log(1+q**(1./3)))",
"def soundspeed(temp,pres):\n g_p = liq_g(0,1,temp,pres)\n g_tt = liq_g(2,0,temp,pres)\n g_tp... | [
"0.5506311",
"0.54322857",
"0.54039633",
"0.53244144",
"0.5197453",
"0.51922834",
"0.5187615",
"0.5161913",
"0.5131058",
"0.5111093",
"0.50948024",
"0.5079271",
"0.5075758",
"0.5067517",
"0.50656",
"0.5057913",
"0.5053487",
"0.5033692",
"0.5029003",
"0.50254285",
"0.5017855",... | 0.0 | -1 |
Calculate lagged coherence of sig at frequency freq using the hanningtaper FFT method | def _lagged_coherence_1freq(sig, freq, fs, n_cycles=3):
# Determine number of samples to be used in each window to compute lagged coherence
n_samps = int(np.ceil(n_cycles * fs / freq))
# For each N-cycle chunk, calculate the fourier coefficient at the frequency of interest, freq
chunks = _nonoverlappi... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_freqs(sig, fft_size):\n Lf = np.fft.fft(sig, fft_size)\n Lc = Lf[0:fft_size//2]\n La = np.abs(Lc[0:fft_size//2])\n Lg = np.angle(Lc[0:fft_size//2])\n return La, Lg",
"def lagged_coherence(sig, f_range, fs, n_cycles=3, f_step=1, return_spectrum=False):\n\n # Identify Fourier components o... | [
"0.6763134",
"0.6559883",
"0.6400544",
"0.6346103",
"0.6291018",
"0.62314177",
"0.6180077",
"0.6164072",
"0.6131286",
"0.61223423",
"0.6004857",
"0.60042465",
"0.5987924",
"0.5978381",
"0.5971407",
"0.59468603",
"0.5940557",
"0.5932638",
"0.59309757",
"0.5929165",
"0.5924323"... | 0.7040043 | 0 |
Split sig into nonoverlapping chunks of length N | def _nonoverlapping_chunks(sig, n_samples):
n_chunks = int(np.floor(len(sig) / float(n_samples)))
chunks = np.reshape(sig[:int(n_chunks * n_samples)], (n_chunks, int(n_samples)))
return chunks | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def split_by_n(seq, n):\n while seq:\n yield seq[:n]\n seq = seq[n:]",
"def split_by_n( seq, n ):\n while seq:\n yield seq[:n]\n seq = seq[n:]",
"def split_seq(seq,size):\n for i in range(0,len(seq),size):\n if i+size<len(seq) and seq[i+size] - seq[i] == ... | [
"0.6515251",
"0.65040153",
"0.6353311",
"0.63250804",
"0.6303389",
"0.6263644",
"0.6134201",
"0.6105199",
"0.6078715",
"0.6029697",
"0.5970635",
"0.59692246",
"0.5947306",
"0.5942355",
"0.59412867",
"0.5921488",
"0.5913542",
"0.59111804",
"0.58984333",
"0.5897976",
"0.5883429... | 0.81064266 | 0 |
Solution to the bombbaby puzzle. Here, we are given some dynamical update rules, a pair (m,f) could be succeeded either by (m+f,f) or (m,m+f). Given two numbers (m,f), we are tasked with finding the shortest path (in generations) to generate (m,f) from (1,1), or to determine that the outcome is impossible. The 'real ch... | def solution(m,f):
m = int(m)
f = int(f)
# number of accumulated generations
n = 0
## A tail-recursive implementation with constant memory usage
## is easily possible, but unfortunately Python cannot handle/optimize
## tail recursion, and is still limited by maximum recursion d... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def mLFG(a,b,m):\n \n require_integers([\"a\",\"b\",\"m\"],[a,b,m])\n \n while True:\n yield a\n a,b = b,(a*b)%m",
"def aLFG(a,b,m):\n \n require_integers([\"a\",\"b\",\"m\"],[a,b,m])\n \n while True:\n yield a\n a,b = b,(a+b)%m",
"def ackermanFunc(m, n):\n\n... | [
"0.60956544",
"0.6033427",
"0.5956995",
"0.5933056",
"0.5878195",
"0.58694607",
"0.5835559",
"0.58092266",
"0.578852",
"0.576956",
"0.5687345",
"0.5661254",
"0.56494594",
"0.5646951",
"0.56302994",
"0.56298953",
"0.56073564",
"0.560453",
"0.55908364",
"0.55840373",
"0.5580158... | 0.76117283 | 0 |
Prompts the user to specify how long their train has been delayed. | def ask_previous_delay(context=None):
options = [
'How long have you been waiting for?',
'How long has your train been delayed?',
'What\'s the length of the delay?',
'How many minutes are you being delayed for?',
]
# Check for context
if context:
# Check for dep... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def setdelay(self):\n delay=self.inputdelay.getEntry()\n cmd=\"setDelay(\"+self.board+','+self.inpedge+','+delay+')'\n self.vb.io.execute(cmd,log=\"out\",applout=\"<>\")",
"def setTimeDelay(*args):\n args[0].TimeState.TimeDelay.time_delay = args[1]",
"def _delay(self, n=None):",
"def wait(self, ms=None... | [
"0.61388785",
"0.55709624",
"0.5552502",
"0.5459696",
"0.54312676",
"0.54147136",
"0.53658587",
"0.53658587",
"0.5360396",
"0.5349062",
"0.533876",
"0.5317978",
"0.5289466",
"0.5288345",
"0.5288043",
"0.52846265",
"0.5271598",
"0.52613497",
"0.52591294",
"0.5234578",
"0.52275... | 0.6142175 | 0 |
Although Spark docs don't mention the "unit" argument, Spark3 added support for it at some point. Databricks also supports this variant (see below). | def _parse_datediff(args: t.List) -> exp.Expression:
unit = None
this = seq_get(args, 0)
expression = seq_get(args, 1)
if len(args) == 3:
unit = this
this = args[2]
return exp.DateDiff(
this=exp.TsOrDsToDate(this=this), expression=exp.TsOrDsToDate(this=expression), unit=uni... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def useUnits():",
"def unit_of_measurement(self):\n return None",
"def native_unit_of_measurement(self):\n return self._unit_of_measurement",
"def unit(cls, val):\n raise NotImplementedError",
"def set_unit(self,unit):\n self.unit = unit",
"def unit_of_measurement(self):\n ... | [
"0.6497393",
"0.5888979",
"0.5616296",
"0.5584569",
"0.55432117",
"0.5522629",
"0.5515228",
"0.54870135",
"0.547054",
"0.5467974",
"0.54404426",
"0.5430543",
"0.5413083",
"0.54087776",
"0.540503",
"0.53957516",
"0.5384174",
"0.5380267",
"0.5344825",
"0.5342134",
"0.53236264",... | 0.0 | -1 |
return a dic of attrs containing the parsed attributes of attrs | def parseAttrs(self,attrs,date_type):
attrs=copy.copy(attrs) #make sure we don't change user/group attributes
attr_holders=self.getAttrHolders(attrs)
map(lambda x:x.setDateType(date_type),attr_holders)
map(lambda x:attrs.update(x.getParsedDic()),attr_holders)
return attrs | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _get_attribute_dic(self, attrs):\n attr_dic = {}\n for attr_pair in attrs:\n attr_dic[attr_pair[0]] = attr_pair[1]\n return attr_dic",
"def process_attrs(attrs):\n if attrs.getLength() == 0:\n return {}\n tmp_dict = {}\n for name in attrs.getNames():\n t... | [
"0.8419787",
"0.83242214",
"0.81790084",
"0.7966316",
"0.7808244",
"0.769806",
"0.7539741",
"0.7467827",
"0.7240442",
"0.72257674",
"0.7224075",
"0.71555316",
"0.71403545",
"0.7140015",
"0.71320254",
"0.7071827",
"0.70067286",
"0.7001645",
"0.6907734",
"0.6907734",
"0.6907734... | 0.6255561 | 81 |
create attr searcher instances and execute their "run" method | def runAttrSearchers(self,conditions,admin_obj):
search_helper=SearchUserHelper(conditions,admin_obj)
attr_searchers=self.__getAllAttrSearchers(search_helper)
map(lambda x:apply(getattr(x,"run")),attr_searchers)
return search_helper | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def __init__(self, *args):\n self.args = args\n self.matchers = []\n for a in args:\n if a is _:\n a = lambda k: True\n elif isinstance(a, basestring):\n a = a.__eq__\n elif isinstance(a, (list, tuple, set)):\n a = (... | [
"0.55047566",
"0.54139805",
"0.5282983",
"0.5266308",
"0.5251558",
"0.52377003",
"0.52111524",
"0.520506",
"0.5197755",
"0.51204234",
"0.5095355",
"0.50885457",
"0.5088183",
"0.5087449",
"0.50618327",
"0.5061558",
"0.50412923",
"0.5020508",
"0.4992534",
"0.49858615",
"0.49814... | 0.67694384 | 0 |
The ACE command line client provides a tool for configuring analytics and other ACE components as well as providing users with a means of sending frames directly to analytics running in the system. This CLI can also be used to run other ACE services, such as creating an RTSP server or starting and configuring a filteri... | def main(ctx, debug):
if debug:
logger.setLevel(logging.DEBUG) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def cli():\n config, auth, execute_now = read_command_line_arguments()\n main(config, auth, execute_now)",
"def cli(log_level):\n util.setup_logger(log_level)\n # if not util.check_in_path('aria2c'):\n # raise logger.ERROR(\"Aria2 is not in path. Please follow installation instructions: https:/... | [
"0.62369883",
"0.6065571",
"0.59926844",
"0.59926844",
"0.59926844",
"0.59926844",
"0.59926844",
"0.59926844",
"0.59926844",
"0.59926844",
"0.59926844",
"0.59926844",
"0.59926844",
"0.59926844",
"0.59926844",
"0.59926844",
"0.59926844",
"0.59926844",
"0.59926844",
"0.59926844",... | 0.0 | -1 |
Command used to configure the specified analytic to connect to an RTSP stream, process the video, and publish the results to the specified database and kafka brokers (if any). | def config(ctx, stream_source, kafka_addr, db_addr, analytic_host, analytic_port, tags):
tag_map = {}
for tag_str in tags:
tag_map.update(parse_tag(tag_str))
a = analytic_pb2.AnalyticData(
addr="{!s}:{!s}".format(analytic_host, analytic_port))
client = aceclient.ConfigClient(host=analyti... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def video(ctx, video_file, analytic_addr):\n if not analytic_addr:\n analytic_addr = [\"localhost:50051\"]\n db = ctx.obj.db\n client = aceclient.AnalyticMultiClient()\n classes = {}\n cap = cv2.VideoCapture(video_file)\n window_names = []\n f_req = analytic_pb2.FrameRequest()\n for ... | [
"0.5585309",
"0.52380216",
"0.5229384",
"0.52075493",
"0.51906437",
"0.51906437",
"0.5142656",
"0.51353914",
"0.51277053",
"0.5063001",
"0.5056543",
"0.50216717",
"0.50200486",
"0.49780482",
"0.4960555",
"0.49345553",
"0.49277937",
"0.49211228",
"0.49086675",
"0.4890077",
"0.... | 0.5494512 | 1 |
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