None:\\n\\n click.confirm(\\n \\\"Are you sure you want to drop the users table?\\\",\\n abort=True\\n )\\n\\n click.echo(\\\"We have gotten to this point, so the user has confirmed.\\\")\",\n \"def update_db_version():\\n print(\\\"Checking Database states...\\\")\\n os.environ.setdefault(\\\"DJANGO_SETTINGS_MODULE\\\", \\\"ADSM.settings\\\")\\n try:\\n call_command('migrate', database='scenario_db', interactive=False, fake_initial=True)\\n call_command('migrate', database='default', interactive=False, fake_initial=True)\\n except:\\n print(\\\"Error: Migration failed.\\\")\\n print('Done migrating databases.')\",\n \"def GetMigrationStatus(self, instance):\\n raise HypervisorError(\\\"Migration not supported by the chroot hypervisor\\\")\",\n \"def post_revert(self):\",\n \"def test_live_migration_dest_check_service_same_host(self):\\n instance_id = self._create_instance()\\n i_ref = db.instance_get(self.context, instance_id)\\n s_ref = self._create_compute_service(host=i_ref['host'])\\n\\n self.assertRaises(exception.UnableToMigrateToSelf,\\n self.scheduler.driver._live_migration_dest_check,\\n self.context, i_ref, i_ref['host'], False)\\n\\n db.instance_destroy(self.context, instance_id)\\n db.service_destroy(self.context, s_ref['id'])\",\n \"def test_live_migration_dest_check_not_alive(self):\\n instance_id = self._create_instance()\\n i_ref = db.instance_get(self.context, instance_id)\\n t = utils.utcnow() - datetime.timedelta(10)\\n s_ref = self._create_compute_service(created_at=t, updated_at=t,\\n host=i_ref['host'])\\n\\n self.assertRaises(exception.ComputeServiceUnavailable,\\n self.scheduler.driver._live_migration_dest_check,\\n self.context, i_ref, i_ref['host'], False)\\n\\n db.instance_destroy(self.context, instance_id)\\n db.service_destroy(self.context, s_ref['id'])\",\n \"def unconfirm(self):\\n self.automatically_detected=True\\n self.save()\",\n \"def confirmed(self):\",\n \"def upgrade():\\r\\n current_context = op.get_context()\\r\\n meta = current_context.opts['target_metadata']\\r\\n user = sa.Table('users', meta, autoload=True)\\r\\n\\r\\n # Add the initial admin user account.\\r\\n op.bulk_insert(user, [{\\r\\n 'username': u'admin',\\r\\n 'password': u'$2a$10$LoSEVbN6833RtwbGQlMhJOROgkjHNH4gjmzkLrIxOX1xLXNvaKFyW',\\r\\n 'email': u'testing@dummy.com',\\r\\n 'activated': True,\\r\\n 'is_admin': True,\\r\\n 'api_key': u'123456',\\r\\n }\\r\\n ])\",\n \"def rollback(self):\\n if self.dbmi.__name__ == \\\"psycopg2\\\":\\n if self.connected:\\n self.connection.rollback()\",\n \"def reset(self) -> None:\\n call_command('migrate', verbosity=0, database=self._database)\",\n \"def nfvi_live_migrate_instance(instance_uuid, callback, to_host_name=None,\\n block_storage_migration='auto', context=None):\\n if context is None:\\n cmd_id = _compute_plugin.invoke_plugin_expediate(\\n 'live_migrate_instance', instance_uuid, to_host_name,\\n block_storage_migration, context, callback=callback)\\n else:\\n cmd_id = _compute_plugin.invoke_plugin(\\n 'live_migrate_instance', instance_uuid, to_host_name,\\n block_storage_migration, context, callback=callback)\\n return cmd_id\",\n \"def upgrade():\\n try:\\n op.drop_table(\\\"ggrc_gdrive_integration_alembic_version\\\")\\n except sa.exc.OperationalError as e:\\n code, _ = e.orig.args\\n if code == 1051: # doesn't exist\\n # we're in a new DB with no trace of the removed chain\\n pass\\n else:\\n raise\\n\\n # The following duplicates a part of a gdrive-related migration,\\n # since a bunch of old migrations in ggrc refer to meetings table.\\n # This part is relevant only for db_reset (new databases), so we\\n # shouldn't recreate this table in downgrade.\\n try:\\n op.drop_table(\\\"meetings\\\")\\n except sa.exc.OperationalError as e:\\n code, _ = e.orig.args\\n if code == 1051: # doesn't exist\\n # we're in an old DB where meetings has been dropped in the removed chain\\n pass\\n else:\\n raise\",\n \"def run_migrations_offline():\\n print('running offline!!!!!!!!!!!!!!!!');\\n url = AppConfig.SQLALCHEMY_DATABASE_URI\\n context.configure(\\n url=url,\\n target_metadata=target_metadata,\\n literal_binds=True\\n )\\n\\n with context.begin_transaction():\\n context.run_migrations()\",\n \"def reset_db_danger():\\n from flask.ext.migrate import init, migrate\\n # Remove the migration folder if exist\\n if os.path.exists('migrations'):\\n shutil.rmtree('migrations')\\n\\n # Remove the sqlite database files if exist\\n for fl in glob.glob('*.sqlite'):\\n os.remove(fl)\\n\\n # Reset Migration Database\\n init()\\n\\n # migrate database to latest revision\\n migrate(message='init')\",\n \"def migrate(heroku_app=HEROKU_APP):\\n subprocess.run([\\n 'heroku', 'run',\\n '--app', heroku_app,\\n '--env', 'PYTHON_PATH=/app',\\n '--exit-code',\\n '--',\\n 'python', '-m', 'frank.manage', 'db', 'upgrade',\\n ])\\n subprocess.run(['heroku', 'restart', '--app', heroku_app])\",\n \"def downgrade():\\n op.execute(\\\"\\\"\\\"\\n CREATE TABLE ggrc_gdrive_integration_alembic_version (\\n version_num varchar(32) NOT NULL\\n ) ENGINE=InnoDB DEFAULT CHARSET=utf8\\n \\\"\\\"\\\")\\n op.execute(\\\"\\\"\\\"\\n INSERT INTO ggrc_gdrive_integration_alembic_version (version_num)\\n VALUES ('3f64d03c6c01')\\n \\\"\\\"\\\")\",\n \"def test_live_migration_src_check_works_correctly(self):\\n instance_id = self._create_instance()\\n i_ref = db.instance_get(self.context, instance_id)\\n s_ref = self._create_compute_service(host=i_ref['host'])\\n\\n ret = self.scheduler.driver._live_migration_src_check(self.context,\\n i_ref)\\n\\n self.assertTrue(ret is None)\\n db.instance_destroy(self.context, instance_id)\\n db.service_destroy(self.context, s_ref['id'])\",\n \"def block_upgrade_for_removed_migration(commit_with_migration):\\n @skip_on_fresh_install\\n def show_message(apps, schema_editor):\\n print(\\\"\\\"\\\"\\n A migration must be performed before this environment can be upgraded to the latest version\\n of CommCareHQ. The migration has been removed from the current version of the code so an older\\n version must be used.\\n \\\"\\\"\\\")\\n print(\\\"\\\")\\n print(f\\\"\\\"\\\"\\n Run the following commands to run the migration and get up to date:\\n\\n commcare-cloud <env> fab setup_limited_release --set code_branch={commit_with_migration}\\n\\n commcare-cloud <env> django-manage --release <release created by previous command> migrate_multi\\n\\n commcare-cloud <env> deploy commcare\\n \\\"\\\"\\\")\\n sys.exit(1)\\n\\n return migrations.RunPython(show_message, reverse_code=migrations.RunPython.noop, elidable=True)\",\n \"def block_upgrade_for_removed_migration(commit_with_migration):\\n @skip_on_fresh_install\\n def show_message(apps, schema_editor):\\n print(\\\"\\\"\\\"\\n A migration must be performed before this environment can be upgraded to the latest version\\n of CommCareHQ. The migration has been removed from the current version of the code so an older\\n version must be used.\\n \\\"\\\"\\\")\\n print(\\\"\\\")\\n print(f\\\"\\\"\\\"\\n Run the following commands to run the migration and get up to date:\\n\\n commcare-cloud <env> fab setup_limited_release --set code_branch={commit_with_migration}\\n\\n commcare-cloud <env> django-manage --release <release created by previous command> migrate_multi\\n\\n commcare-cloud <env> deploy commcare\\n \\\"\\\"\\\")\\n sys.exit(1)\\n\\n return migrations.RunPython(show_message, reverse_code=migrations.RunPython.noop, elidable=True)\",\n \"def test_redeploy(self):\\n pass\",\n \"def mep_260(ctx):\\n click.secho(\\\"Start migration v2.6\\\", fg=\\\"cyan\\\")\\n click.secho(\\\"Nothing\\\", fg=\\\"cyan\\\")\",\n \"def test_live_migration_dest_check_service_lack_memory(self):\\n instance_id = self._create_instance()\\n instance_id2 = self._create_instance(host='somewhere',\\n memory_mb=12)\\n i_ref = db.instance_get(self.context, instance_id)\\n s_ref = self._create_compute_service(host='somewhere')\\n\\n self.assertRaises(exception.NovaException,\\n self.scheduler.driver._live_migration_dest_check,\\n self.context, i_ref, 'somewhere', False)\\n\\n db.instance_destroy(self.context, instance_id)\\n db.instance_destroy(self.context, instance_id2)\\n db.service_destroy(self.context, s_ref['id'])\",\n \"def _sync_all_instances(self, request, queryset):\\n context = self.get_admin_action_context(\\n queryset, \\\"_sync_all_instances\\\", CustomActionForm\\n )\\n return render(request, \\\"djstripe/admin/confirm_action.html\\\", context)\",\n \"async def check_migration(hass: core.HomeAssistant, entry: ConfigEntry) -> None:\\n host = entry.data[CONF_HOST]\\n\\n # migrate CONF_USERNAME --> CONF_API_KEY\\n if CONF_USERNAME in entry.data:\\n LOGGER.info(\\\"Migrate %s to %s in schema\\\", CONF_USERNAME, CONF_API_KEY)\\n data = dict(entry.data)\\n data[CONF_API_KEY] = data.pop(CONF_USERNAME)\\n hass.config_entries.async_update_entry(entry, data=data)\\n\\n conf_api_version = entry.data.get(CONF_API_VERSION, 1)\\n if conf_api_version == 1:\\n # a bridge might have upgraded firmware since last run so\\n # we discover its capabilities at every startup\\n websession = aiohttp_client.async_get_clientsession(hass)\\n if await is_v2_bridge(host, websession):\\n supported_api_version = 2\\n else:\\n supported_api_version = 1\\n LOGGER.debug(\\n \\\"Configured api version is %s and supported api version %s for bridge %s\\\",\\n conf_api_version,\\n supported_api_version,\\n host,\\n )\\n\\n # the call to `is_v2_bridge` returns (silently) False even on connection error\\n # so if a migration is needed it will be done on next startup\\n\\n if conf_api_version == 1 and supported_api_version == 2:\\n # run entity/device schema migration for v2\\n await handle_v2_migration(hass, entry)\\n\\n # store api version in entry data\\n if (\\n CONF_API_VERSION not in entry.data\\n or conf_api_version != supported_api_version\\n ):\\n data = dict(entry.data)\\n data[CONF_API_VERSION] = supported_api_version\\n hass.config_entries.async_update_entry(entry, data=data)\",\n \"def test_migrate_on_compute_fail(self):\\n server, source_host, target_host = self._create_server()\\n\\n # Wrap _prep_resize so we can concurrently delete the server.\\n original_prep_resize = compute_manager.ComputeManager._prep_resize\\n\\n def wrap_prep_resize(*args, **kwargs):\\n self._delete_server(server)\\n return original_prep_resize(*args, **kwargs)\\n\\n self.stub_out('nova.compute.manager.ComputeManager._prep_resize',\\n wrap_prep_resize)\\n\\n # Now start the cold migration which will fail in the dest compute.\\n self.api.post_server_action(server['id'], {'migrate': None})\\n # We cannot monitor the migration from the API since it is deleted\\n # when the instance is deleted so just wait for the failed instance\\n # action event after the allocation revert happens.\\n self._wait_for_action_fail_completion(\\n server, instance_actions.MIGRATE, 'compute_prep_resize')\\n self._assert_no_allocations(server)\",\n \"def migrate_database(self):\\n\\n self.db.migrate_database()\",\n \"def run_migration(env, upgrade_type):\\n pass\",\n \"def smart_syncdb_migrate(self):\\n local('python manage.py syncdb')\\n local('python manage.py migrate')\\n local('python manage.py syncdb --all')\",\n \"def versionable_pre_delete(self, instance, timestamp):\\n pass\",\n \"def upgrade(self):\",\n \"def upgrade(self):\",\n \"def test_complete_model_migration_aborts_when_already_in_progress(monkeypatch):\\n resync_after_migrate_mock = Mock()\\n monkeypatch.setattr('datahub.search.tasks.resync_after_migrate', resync_after_migrate_mock)\\n mock_app = create_mock_search_app(\\n current_mapping_hash='current-hash',\\n target_mapping_hash='target-hash',\\n )\\n get_search_app_mock = Mock(return_value=mock_app)\\n monkeypatch.setattr('datahub.search.tasks.get_search_app', get_search_app_mock)\\n\\n # Have to mock rather than acquire the lock as locks are per connection (if the lock is\\n # already held by the current connection, the current connection can still acquire it again).\\n advisory_lock_mock = MagicMock()\\n advisory_lock_mock.return_value.__enter__.return_value = False\\n monkeypatch.setattr('datahub.search.tasks.advisory_lock', advisory_lock_mock)\\n complete_model_migration.apply(args=('test-app', 'target-hash'))\\n\\n # resync_after_migrate_mock should not have been called as the task should've exited instead\\n resync_after_migrate_mock.assert_not_called()\",\n \"def migrate_ex(self, target_host, target_port, target_session_id, target_home_path = '', migration_flags = consts.PVMSL_LOW_SECURITY, reserved_flags = 0, force_operation = True):\\n\\t\\treturn Job(SDK.PrlVm_MigrateEx(self.handle, target_host, target_port, target_session_id, target_home_path, migration_flags, reserved_flags, force_operation)[0])\",\n \"def rollback(self):\\n pass\",\n \"def migrate(args=''):\\n run_commands('python manage.py migrate %s' % args)\",\n \"def migrate(where='local'):\\n config = get_config(where)\\n with settings(host_string=config['host_string']), cd(config['installation_dir']):\\n\\n run('bin/django syncdb')\\n try:\\n run('bin/django schemamigration dasa --auto')\\n except:\\n pass\\n run('bin/django migrate dasa')\",\n \"def db_upgrade():\\n generate_migration_file()\\n dbu_query = anosql.from_path(MIGRATION_FILE, 'psycopg2')\\n\\n for time_step in [_.strip('.sql') for _ in migration_files()]:\\n decide = MySQLScheme.fetch_one(REVISION_EXISTS,\\n **{\\\"args\\\": {'revision': time_step}})\\n if not decide:\\n MySQLScheme.commit(getattr(dbu_query, f\\\"upgrade_{time_step}\\\").sql)\\n LOGGER.info(f\\\"successful migration: {time_step}\\\")\\n else:\\n LOGGER.info(f'migration already exists: {time_step}')\",\n \"def _resync_instances(self, request, queryset):\\n context = self.get_admin_action_context(\\n queryset, \\\"_resync_instances\\\", CustomActionForm\\n )\\n return render(request, \\\"djstripe/admin/confirm_action.html\\\", context)\",\n \"def migrate(self, command):\\n out = StringIO()\\n call_command('migrate', interactive=False, no_color=True, stdout=out)\\n out.seek(0)\\n yield from command.reply(out.read())\",\n \"def upgrade():\\n op.add_column(\\n 'share_instances',\\n Column('access_rules_status', String(length=255))\\n )\\n\\n connection = op.get_bind()\\n share_instances_table = utils.load_table('share_instances', connection)\\n instance_access_table = utils.load_table('share_instance_access_map',\\n connection)\\n\\n # NOTE(u_glide): Data migrations shouldn't be performed on live clouds\\n # because it will lead to unpredictable behaviour of running operations\\n # like migration.\\n instances_query = (\\n share_instances_table.select()\\n .where(share_instances_table.c.status == constants.STATUS_AVAILABLE)\\n .where(share_instances_table.c.deleted == 'False')\\n )\\n\\n for instance in connection.execute(instances_query):\\n\\n access_mappings_query = instance_access_table.select().where(\\n instance_access_table.c.share_instance_id == instance['id']\\n ).where(instance_access_table.c.deleted == 'False')\\n\\n status = constants.STATUS_ACTIVE\\n\\n for access_rule in connection.execute(access_mappings_query):\\n\\n if (access_rule['state'] == constants.STATUS_DELETING or\\n access_rule['state'] not in priorities):\\n continue\\n\\n if priorities[access_rule['state']] > priorities[status]:\\n status = access_rule['state']\\n\\n # pylint: disable=no-value-for-parameter\\n op.execute(\\n share_instances_table.update().where(\\n share_instances_table.c.id == instance['id']\\n ).values({'access_rules_status': upgrade_data_mapping[status]})\\n )\\n\\n op.drop_column('share_instance_access_map', 'state')\",\n \"def renku_op(self):\\n return execute_migration(\\n self.project_path,\\n self.force_template_update,\\n self.skip_template_update,\\n self.skip_docker_update,\\n self.skip_migrations,\\n self.commit_message,\\n )\",\n \"def migrate(*apps):\\n # First sync db\\n print(apps)\\n\\n if len(apps) > 0:\\n for app in apps:\\n try:\\n _manage('migrate %s' % app)\\n except Exception as e:\\n print(red('Failed to migrate {} app! {}'.format(app, str(e))))\\n else:\\n _manage('migrate')\",\n \"def allow_migrate(self, db, app_label, model_name=None, **hints):\\n return db == self.db_name\",\n \"def run_migrations_offline():\\n url = get_url()\\n context.configure(\\n url=url,\\n target_metadata=target_metadata,\\n literal_binds=True,\\n compare_type=True,\\n version_table_schema=POSTGRES_SCHEMA,\\n )\\n\\n with context.begin_transaction():\\n context.run_migrations()\",\n \"def test_does_not_move(self):\\n Herbivore.set_parameters({\\\"mu\\\": 0})\\n nt.assert_false(self.herb.check_migrate())\",\n \"def migrate(query, callback, no_input=False):\\n query.update({'pending': False})\\n generic_migrate(query, callback, no_input=no_input)\",\n \"def do_upgrade(env, ver, cursor):\\n cursor.execute('UPDATE system SET name=%s WHERE name=%s',\\n (\\\"agiletools_version\\\", \\\"taskboard_schema\\\"))\"\n]","isConversational":false},"negative_scores":{"kind":"list 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\"0.72407913\",\n \"0.6868304\",\n \"0.6802639\",\n \"0.6643721\",\n \"0.64271414\",\n \"0.6412695\",\n \"0.63651156\",\n \"0.6314516\",\n \"0.63011813\",\n \"0.61909187\",\n \"0.6099909\",\n \"0.60377604\",\n \"0.6023261\",\n \"0.59750897\",\n \"0.5949194\",\n \"0.59245265\",\n \"0.5899963\",\n \"0.5899963\",\n \"0.58728546\",\n \"0.58728546\",\n \"0.58620274\",\n \"0.5822578\",\n \"0.5792325\",\n \"0.57745606\",\n \"0.5764113\",\n \"0.5743028\",\n \"0.57251126\",\n \"0.57240003\",\n \"0.5718887\",\n \"0.571151\",\n \"0.56859356\",\n \"0.5663272\",\n \"0.56449085\",\n \"0.5606643\",\n \"0.55886227\",\n \"0.5587302\",\n \"0.5587302\",\n \"0.5585705\",\n \"0.55846786\",\n \"0.55675286\",\n \"0.55582595\",\n \"0.55410355\",\n \"0.5527678\",\n \"0.55165905\",\n \"0.5503629\",\n \"0.5497513\",\n \"0.54952973\",\n \"0.54774016\",\n \"0.54607844\",\n \"0.5456843\",\n \"0.5450231\",\n \"0.54432464\",\n \"0.5429666\",\n \"0.54084027\",\n \"0.53910416\",\n \"0.53804755\",\n \"0.5348109\",\n \"0.5346057\",\n \"0.5330521\",\n \"0.53046745\",\n \"0.5298234\",\n \"0.5295642\",\n \"0.5293707\",\n \"0.5282072\",\n \"0.5262581\",\n \"0.5260711\",\n \"0.525986\",\n \"0.5255583\",\n \"0.52527654\",\n \"0.5240193\",\n \"0.52369976\",\n \"0.52369976\",\n \"0.52350134\",\n \"0.52315474\",\n \"0.52136123\",\n \"0.52079463\",\n \"0.52019566\",\n \"0.51989317\",\n \"0.51967597\",\n \"0.51805985\",\n \"0.51774853\",\n \"0.5176038\",\n \"0.5175075\",\n \"0.5175075\",\n \"0.5161985\",\n \"0.51597184\",\n \"0.51591367\",\n \"0.5156554\",\n \"0.5137025\",\n \"0.5131825\",\n \"0.5115759\",\n \"0.5115089\",\n \"0.5111903\",\n \"0.51024413\",\n \"0.51018035\",\n \"0.5100964\",\n \"0.5099466\",\n \"0.50943124\",\n \"0.5092064\",\n \"0.5086721\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.7104281"},"document_rank":{"kind":"string","value":"1"}}},{"rowIdx":20478,"cells":{"query":{"kind":"string","value":"Cold migrate revert an instance"},"document":{"kind":"string","value":"def nfvi_cold_migrate_revert_instance(instance_uuid, callback, context=None):\n cmd_id = _compute_plugin.invoke_plugin('cold_migrate_revert_instance',\n instance_uuid, context,\n callback=callback)\n return cmd_id"},"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 migrate(cr, version):\n pass","def migrate(self):\n\tpass","def post_revert(self):","def pre_revert(self):","def migration():","def test_migration_task_rollback(self):\n server, source_host, target_host = self._create_server()\n self._disable_target_host(target_host)\n self._stub_delete_server_during_scheduling(server)\n\n # Now start the cold migration which will fail due to NoValidHost.\n self.api.post_server_action(server['id'], {'migrate': None},\n check_response_status=[202])\n # We cannot monitor the migration from the API since it is deleted\n # when the instance is deleted so just wait for the failed instance\n # action event after the task rollback happens.\n # Note that we get InstanceNotFound rather than NoValidHost because\n # the NoValidHost handler in ComputeTaskManager._cold_migrate calls\n # _set_vm_state_and_notify which raises InstanceNotFound and masks\n # the NoValidHost error.\n self._assert_resize_migrate_action_fail(\n server, instance_actions.MIGRATE, 'InstanceNotFound')\n self._assert_no_allocations(server)","def revert(self, *args, **kwargs):","def downgrade():\n\n op.drop_column('shares', 'revert_to_snapshot_support')","def upgrade():\n # commands auto generated by Alembic - please adjust! ###\n op.drop_table('review')\n # end Alembic commands ###","def rollback(migrator, database, fake=False, **kwargs):\n\n migrator.remove_model('tea_teas_types')\n migrator.remove_model('tea_types')\n migrator.remove_model('tea_lists_items')\n migrator.remove_model('tea_lists')\n migrator.remove_model('tea_teas')\n migrator.remove_model('tea_vendors')","def upgrade():\n try:\n op.drop_table(\"ggrc_gdrive_integration_alembic_version\")\n except sa.exc.OperationalError as e:\n code, _ = e.orig.args\n if code == 1051: # doesn't exist\n # we're in a new DB with no trace of the removed chain\n pass\n else:\n raise\n\n # The following duplicates a part of a gdrive-related migration,\n # since a bunch of old migrations in ggrc refer to meetings table.\n # This part is relevant only for db_reset (new databases), so we\n # shouldn't recreate this table in downgrade.\n try:\n op.drop_table(\"meetings\")\n except sa.exc.OperationalError as e:\n code, _ = e.orig.args\n if code == 1051: # doesn't exist\n # we're in an old DB where meetings has been dropped in the removed chain\n pass\n else:\n raise","def migrate(cls)->None:\n pass","def revert_fe_transfer_changes():\n # Cyclic Import\n from backend.models import FETransfer\n\n end_date = datetime.datetime.now()\n end_date = end_date.replace(second=0, microsecond=0)\n start_date = end_date - datetime.timedelta(1)\n\n all_instances = FETransfer.objects.filter(revert_flag=False,\n updated_at__range=(start_date, end_date))\n for instance in all_instances:\n instance.revert_changes()","def rollback(migrator, database, fake=False, **kwargs):\n pass","def rollback(self):\n pass","def rollback(self):\r\n self.db.rollback()","def revert(self):\n self.instance.save()\n return self.instance","def rollback(self):\n self.db.rollback()","def model_post_migrate(*args, **kwargs):\n global IN_MIGRATIONS\n IN_MIGRATIONS = False","def post_migrations(self):","def migrate_cancel(self):\n\t\treturn Job(SDK.PrlVm_MigrateCancel(self.handle)[0])","def downgrade():\n # # commands auto generated by Alembic - please adjust! ###\n op.drop_table('downstream_map')\n # # end Alembic commands ###","def downgrade(revision, sql):\n alembic_command.downgrade(alembic_config, revision, sql=sql)","def reset_db_danger():\n from flask.ext.migrate import init, migrate\n # Remove the migration folder if exist\n if os.path.exists('migrations'):\n shutil.rmtree('migrations')\n\n # Remove the sqlite database files if exist\n for fl in glob.glob('*.sqlite'):\n os.remove(fl)\n\n # Reset Migration Database\n init()\n\n # migrate database to latest revision\n migrate(message='init')","def downgrade():\n op.execute(\"\"\"\n CREATE TABLE ggrc_gdrive_integration_alembic_version (\n version_num varchar(32) NOT NULL\n ) ENGINE=InnoDB DEFAULT CHARSET=utf8\n \"\"\")\n op.execute(\"\"\"\n INSERT INTO ggrc_gdrive_integration_alembic_version (version_num)\n VALUES ('3f64d03c6c01')\n \"\"\")","def reset(self) -> None:\n call_command('migrate', verbosity=0, database=self._database)","def downgrade():\n op.drop_table(\"task_instance_note\")\n op.drop_table(\"dag_run_note\")","def nfvi_resize_revert_instance(instance_uuid, callback, context=None):\n cmd_id = _compute_plugin.invoke_plugin('resize_revert_instance',\n instance_uuid, context,\n callback=callback)\n return cmd_id","def tearDownClass(cls):\n management.call_command(\"migrate\")","def test_live_migration_task_rollback(self):\n server, source_host, target_host = self._create_server()\n self._disable_target_host(target_host)\n self._stub_delete_server_during_scheduling(server)\n\n # Now start the live migration which will fail due to NoValidHost.\n body = {'os-migrateLive': {'host': None, 'block_migration': 'auto'}}\n self.api.post_server_action(server['id'], body)\n # We cannot monitor the migration from the API since it is deleted\n # when the instance is deleted so just wait for the failed instance\n # action event after the task rollback happens.\n self._wait_for_action_fail_completion(\n server, instance_actions.LIVE_MIGRATION,\n 'conductor_live_migrate_instance')\n self._assert_no_allocations(server)","def rollback(self):\n if self.dbmi.__name__ == \"psycopg2\":\n if self.connected:\n self.connection.rollback()","def revert(self, ref=None):\n # TODO\n raise NotImplementedError","def downgrade(self, revision):\n alembic.command.downgrade(self.alembic_config(), revision)","def rollback(self):\n raise NotImplementedError","def Revert():\n raise Exception(0xF1F1F2F2F3F3F4F4)","def downgrade():\n op.drop_column(\"revisions\", \"resource_slug\")","def to_rollback(self, migrations):\n applied = self.get_applied_migration_hashes()\n ms = (m for m in migrations if m.hash in applied)\n return migrations.__class__(\n reversed(topological_sort(ms)), migrations.post_apply\n )","def migratedb(rollback=False):\n\n require(\"virtualenv_path\", \"project_path\", \"sudo_user\")\n\n #\n # Some things need to be done first (i.e. if they need a different\n # database connection or some custom args)\n #\n if \"migratedb_first\" in env:\n\n for app, args in env.migratedb_first.iteritems():\n\n version = get_south_migrate_version(app, rollback)\n\n migrate_app_db(app, version, args)\n\n #\n # Do the rest afterwards\n #\n if has_version_info():\n\n apps = env.south_migrations.keys()\n\n for app in apps:\n\n print app\n\n version = get_south_migrate_version(app, rollback)\n\n migrate_app_db(app, version)\n\n #\n # If we know nothing, just migrate everything\n #\n else:\n migrate_app_db()","def downgrade_app_db(app, user, migration_version):\n ctx.logger.info(\n 'Downgrading %s DB to revision: %s', app.capitalize(),\n migration_version\n )\n run('db-migrate-down-to', app, user, migration_version)","def migrate(ctx):\n connecter = ScalingoInterface(ctx.obj)\n connecter.manage_py(\"migrate\")","def revert(self, snapshot):\n state_root, checkpoint_id = snapshot\n\n with self.state_db() as state_db:\n # first revert the database state root.\n state_db.root_hash = state_root\n # now roll the underlying database back\n\n self.chaindb.revert(checkpoint_id)","def downgrade():\n op.execute(\n f\"\"\"\n ALTER TABLE\n {config.CLEAN_SCHEMA}.forecasts\n RENAME COLUMN\n train_horizon\n TO\n training_horizon;\n \"\"\",\n ) # noqa:WPS355","def rollback(self):\n self.conn.rollback()","def safe_upgrade():\n goviewbe.upgrade_db(current_app)","def rollback_django(ref=None, debug=False, dirty=False):\n if has_version_info():\n #\n # To roll back we need to fetch the existing version, execute the\n # database rollback, and then do a deploy of a specific version\n #\n create_virtualenv()\n\n # Copy the new code... the one we want to back out, as we need the\n # migrations from this\n operations.fetch_render_copy(ref, debug, dirty)\n\n # Rollback the database\n migratedb(True)\n\n # Get the old code\n del env['tempdir']\n operations.fetch_render_copy(env.scm_tag[\"rollback\"], debug, dirty, True)\n\n pip_requirements()\n refresh_wsgi()\n\n else:\n abort(\"No version info present to allow rollback\")","def revert_database(self):\n # make sure that in unittest database\n db_manager.db = SqliteDatabase(settings.UNITTEST_DATABASE_NAME)\n db_manager.Employee._meta.database = db_manager.db\n db_manager.LogEntry._meta.database = db_manager.db\n\n # delete all test data\n q = db_manager.LogEntry.delete()\n q.execute()\n q = db_manager.Employee.delete()\n q.execute()\n\n # switch back to live database\n db_manager.db = SqliteDatabase(settings.LIVE_DATABASE_NAME)\n db_manager.Employee._meta.database = db_manager.db\n db_manager.LogEntry._meta.database = db_manager.db","def _cleanup_incomplete_migrations(self, context):\n LOG.debug('Cleaning up deleted instances with incomplete migration ')\n migration_filters = {'host': CONF.host,\n 'status': 'error'}\n migrations = objects.MigrationList.get_by_filters(context,\n migration_filters)\n\n if not migrations:\n return\n\n inst_uuid_from_migrations = set([migration.instance_uuid for migration\n in migrations])\n\n inst_filters = {'deleted': True, 'soft_deleted': False,\n 'uuid': inst_uuid_from_migrations}\n attrs = ['info_cache', 'security_groups', 'system_metadata']\n with utils.temporary_mutation(context, read_deleted='yes'):\n instances = objects.InstanceList.get_by_filters(\n context, inst_filters, expected_attrs=attrs, use_slave=True)\n\n for instance in instances:\n if instance.host != CONF.host:\n for migration in migrations:\n if instance.uuid == migration.instance_uuid:\n # Delete instance files if not cleanup properly either\n # from the source or destination cloud nodes when\n # the instance is deleted during resizing.\n self.driver.delete_instance_files(instance)\n try:\n migration.status = 'failed'\n with migration.obj_as_admin():\n migration.save()\n except exception.MigrationNotFound:\n LOG.warning(_LW(\"Migration %s is not found.\"),\n migration.id, context=context,\n instance=instance)\n break","def backwards(apps, schema_editor):\n pass","def migrate():\n if apply_migrations():\n click.echo(OK)\n else:\n sys.exit(1)","def upgrade():\n with op.batch_alter_table(\"users\") as batch_op:\n batch_op.drop_column(\"registered_date\")\n batch_op.drop_column(\"registered_age\")\n batch_op.drop_column(\"cell\")\n batch_op.drop_column(\"portrait_id\")\n batch_op.drop_column(\"street_number\")\n batch_op.drop_column(\"id_value\")\n batch_op.drop_column(\"nat\")\n batch_op.drop_column(\"id_name\")\n batch_op.drop_column(\"md5\")\n batch_op.drop_column(\"date_of_birth\")\n batch_op.drop_column(\"sha256\")\n batch_op.drop_column(\"username\")\n batch_op.drop_column(\"salt\")\n batch_op.drop_column(\"timezone_offset\")\n batch_op.drop_column(\"uuid\")\n batch_op.drop_column(\"title\")\n batch_op.drop_column(\"age\")\n batch_op.drop_column(\"longitude\")\n batch_op.drop_column(\"sha1\")\n batch_op.drop_column(\"timezone_description\")\n batch_op.drop_column(\"password\")\n batch_op.drop_column(\"latitude\")","def restore(\n context, backup, user=get_local_user(), remote=False, instance=None, stack=None,\n):\n command = f\"exec postgres pkill -f {PROJECT}\"\n run_command(context, user, remote, instance, stack, command)\n\n command = f\"run --rm postgres restore {backup}\"\n run_command(context, user, remote, instance, stack, command)","def confirm_migration(self, migration, instance, network_info):\n raise NotImplementedError()","def reset_db():\n from alembic.command import downgrade, upgrade\n from alembic.config import Config as AlembicConfig\n config = AlembicConfig('alembic.ini')\n downgrade(config, 'base')\n upgrade(config, 'head')\n print('Database has been reset')","def live_migration_abort(self, server, migration):\n return self._delete(\n '/servers/%s/migrations/%s' % (base.getid(server),\n base.getid(migration)))","def rollback(self, stage, enodes, exception):","def upgrade():\n session = sa.orm.Session(bind=op.get_bind().connect())\n\n # Add create_share_from_snapshot_support attribute to shares table\n op.add_column(\n 'shares',\n sa.Column('revert_to_snapshot_support', sa.Boolean, default=False))\n\n # Set revert_to_snapshot_support on each share\n shares_table = sa.Table(\n 'shares',\n sa.MetaData(),\n sa.Column('id', sa.String(length=36)),\n sa.Column('deleted', sa.String(length=36)),\n sa.Column('revert_to_snapshot_support', sa.Boolean),\n )\n # pylint: disable=no-value-for-parameter\n update = shares_table.update().where(\n shares_table.c.deleted == 'False').values(\n revert_to_snapshot_support=False)\n session.execute(update)\n session.commit()\n\n session.close_all()","def migrate(heroku_app=HEROKU_APP):\n subprocess.run([\n 'heroku', 'run',\n '--app', heroku_app,\n '--env', 'PYTHON_PATH=/app',\n '--exit-code',\n '--',\n 'python', '-m', 'frank.manage', 'db', 'upgrade',\n ])\n subprocess.run(['heroku', 'restart', '--app', heroku_app])","def revert(self, checkpoint):\n self._validate_checkpoint(checkpoint)\n\n for key, value in self.journal.pop_checkpoint(checkpoint).items():\n if value is None:\n self.wrapped_db.delete(key)\n else:\n self.wrapped_db.set(key, value)","def rollback():\n current_timestamp = current()\n previous_timestamp = previous()\n\n if previous_timestamp:\n execute(symlink, *(previous_timestamp, ))\n run('rm -rf %s' % os.path.join(env.releases_dir, current_timestamp))","def rollback(self):\n # PEP 249\n raise impala.error.NotSupportedError()","def downgrade():\n # commands auto generated by Alembic - please adjust! ###\n op.create_table('review',\n sa.Column('id', sa.INTEGER(), nullable=False),\n sa.Column('approved', sa.BOOLEAN(), autoincrement=False, nullable=True),\n sa.Column('user', sa.INTEGER(), autoincrement=False, nullable=True),\n sa.Column('timestamp', postgresql.TIMESTAMP(), autoincrement=False,\n nullable=True),\n sa.Column('comment', sa.TEXT(), autoincrement=False, nullable=True),\n sa.Column('epv', sa.VARCHAR(length=255), autoincrement=False, nullable=True),\n sa.ForeignKeyConstraint(['user'], ['user.id'], name='review_user_fkey'),\n sa.PrimaryKeyConstraint('id', name='review_pkey'))\n # end Alembic commands ###","def upgrade():\n op.execute(\n f\"\"\"\n ALTER TABLE\n {config.CLEAN_SCHEMA}.forecasts\n RENAME COLUMN\n training_horizon\n TO\n train_horizon;\n \"\"\",\n ) # noqa:WPS355","def nfvi_cold_migrate_instance(instance_uuid, callback, to_host_name=None,\n context=None):\n if context is None:\n cmd_id = _compute_plugin.invoke_plugin_expediate(\n 'cold_migrate_instance', instance_uuid, to_host_name, context,\n callback=callback)\n else:\n cmd_id = _compute_plugin.invoke_plugin(\n 'cold_migrate_instance', instance_uuid, to_host_name, context,\n callback=callback)\n return cmd_id","def rollback(self):\n self._rollback = True","def undo(backup):\r\n backup.load_backup()\r\n backup.undo_moves()","def down(config, database, semester, course):\n pass","def down(config, database, semester, course):\n pass","def tearDown(self):\n model.DBSession.rollback()","def downgrade(self, revision: str = \"head\") -> \"Alembic\":\n\n self.configure()\n\n if not self.migrator_base.does_table_exists(\n \"alembic_version\"\n ) or self.is_revision_different(revision):\n PyFunceble.facility.Logger.info(\n \"Started downgrade (%r) of the database schema(s).\", revision\n )\n\n alembic_command.downgrade(self.alembic_config, revision)\n\n PyFunceble.facility.Logger.info(\n \"Finished downgrade (%r) of the database schema(s).\", revision\n )","def create_versions_after_migration(**kwargs):\n migrations = [migration\n for migration, rollback in kwargs.get('plan', [])\n if not rollback]\n models: Set[Any] = set()\n for migration in migrations:\n models.update(getattr(migration, 'REVISED_MODELS', []))\n\n with transaction.atomic():\n for model in reversion_models(models):\n create_revisions_for(model)","def upgrade(revision, sql):\n alembic_command.upgrade(alembic_config, revision, sql=sql)","def migratefuture(config, comm, collection, database, host, port):\n des_db = database if database else 'ccsdm'\n des_tbl = collection if collection else 'sfdc_dump'\n CleanSFDCDump(comm, des_tbl, des_db, host=host, port=port).execute()\n return","def rollback():\n with cd(env.basepath):\n run('mv current/rollback rollback')\n run('mv current undeployed')\n run('mv rollback current')\n version = run('readlink current')\n previous = run('readlink undeployed')\n puts(green('>>> Rolled back from %(previous)s to %(version)s' % { 'previous': previous, 'version': version }))\n run('rm -fr %s' % previous)\n run('rm undeployed')\n sudo('service nginx reload')\n with cd(env.nodejs):\n for n in [1, 2]:\n with settings(warn_only=True):\n sudo('stop nodejs N=%s' % n)\n run('mv instance%s/rollback rollback%s' % (n, n))\n run('mv instance%s undeployed' % n)\n run('mv rollback%s instance%s' % (n, n))\n version = run('readlink instance%s' % n)\n previous = run('readlink undeployed')\n puts(green('>>> Rolled back nodejs %(n)s from %(previous)s to %(version)s' % { 'n': n, 'previous': previous, 'version': version }))\n run('rm -fr %s' % previous)\n run('rm undeployed')\n sudo('start nodejs N=%s' % n)","def tearDown(self):\n db.session.rollback()","def tearDown(self):\n db.session.rollback()","def tearDown(self):\n db.session.rollback()","def tearDown(self):\n db.session.rollback()","def tearDown(self):\n db.session.rollback()","def tearDown(self):\n db.session.rollback()","def recreate():\n drop()\n create()","def model_pre_migrate(*args, **kwargs):\n global IN_MIGRATIONS\n IN_MIGRATIONS = True","def upgradedb(ctx):\n path = Path(__file__).resolve().parent.parent\n conf = Config(str(path / \"migrations\" / \"alembic.ini\"))\n conf.set_main_option(\"script_location\", str(path / \"migrations\"))\n command.upgrade(conf, \"heads\")","def upgrade(self):","def upgrade(self):","def down(self, arguments):\n force = arguments['--force']\n\n instance_name = arguments['<instance>']\n instance_name = self.activate(instance_name)\n\n vmrun = VMrun(self.vmx, user=self.user, password=self.password)\n if not force and vmrun.installedTools():\n stopped = vmrun.stop()\n else:\n stopped = vmrun.stop(mode='hard')\n if stopped is None:\n puts_err(colored.red(\"Not stopped\", vmrun))\n else:\n puts_err(colored.green(\"Stopped\", vmrun))","def rollback_one(self, migration, force=False):\n logger.info(\"Rolling back %s\", migration.id)\n self.ensure_internal_schema_updated()\n migration.process_steps(self, \"rollback\", force=force)\n self.log_migration(migration, \"rollback\")\n with self.transaction():\n self.unmark_one(migration, log=False)","def tearDown(self):\r\n db.session.rollback()","def tearDown(self):\n\n db.session.rollback()","def tearDown(self):\n\n db.session.rollback()","def tearDown(self):\n\n db.session.rollback()","def tearDown(self):\n\n db.session.rollback()","def tearDown(self):\n\n db.session.rollback()","def tearDown(self):\n\n db.session.rollback()","def tearDown(self):\n\n db.session.rollback()","def tearDown(self):\n\n db.session.rollback()","def tearDown(self):\r\n\r\n db.session.rollback()","def rollback(self):\n self.remove_repo_config()\n self.remove_repos()\n\n self.supervisor.start_all_services()","def RollBack(self):\r\n self.conn.rollback()","def upgrade():\n\n conn = op.get_bind()\n invalid_acr = get_invalid_acrs(conn, models_names)\n\n if invalid_acr:\n invalid_acr_ids = [x.id for x in invalid_acr]\n add_to_objects_without_revisions_bulk(conn,\n invalid_acr_ids,\n acr,\n \"deleted\")\n delete_invalid_acr(conn, models_names)","def drop():\n if prompt_bool(\"Are you sure you want to lose all your data\"):\n db.drop_all()\n db.engine.execute(\"drop table if exists alembic_version\")"],"string":"[\n \"def migrate(cr, version):\\n pass\",\n \"def migrate(self):\\n\\tpass\",\n \"def post_revert(self):\",\n \"def pre_revert(self):\",\n \"def migration():\",\n \"def test_migration_task_rollback(self):\\n server, source_host, target_host = self._create_server()\\n self._disable_target_host(target_host)\\n self._stub_delete_server_during_scheduling(server)\\n\\n # Now start the cold migration which will fail due to NoValidHost.\\n self.api.post_server_action(server['id'], {'migrate': None},\\n check_response_status=[202])\\n # We cannot monitor the migration from the API since it is deleted\\n # when the instance is deleted so just wait for the failed instance\\n # action event after the task rollback happens.\\n # Note that we get InstanceNotFound rather than NoValidHost because\\n # the NoValidHost handler in ComputeTaskManager._cold_migrate calls\\n # _set_vm_state_and_notify which raises InstanceNotFound and masks\\n # the NoValidHost error.\\n self._assert_resize_migrate_action_fail(\\n server, instance_actions.MIGRATE, 'InstanceNotFound')\\n self._assert_no_allocations(server)\",\n \"def revert(self, *args, **kwargs):\",\n \"def downgrade():\\n\\n op.drop_column('shares', 'revert_to_snapshot_support')\",\n \"def upgrade():\\n # commands auto generated by Alembic - please adjust! ###\\n op.drop_table('review')\\n # end Alembic commands ###\",\n \"def rollback(migrator, database, fake=False, **kwargs):\\n\\n migrator.remove_model('tea_teas_types')\\n migrator.remove_model('tea_types')\\n migrator.remove_model('tea_lists_items')\\n migrator.remove_model('tea_lists')\\n migrator.remove_model('tea_teas')\\n migrator.remove_model('tea_vendors')\",\n \"def upgrade():\\n try:\\n op.drop_table(\\\"ggrc_gdrive_integration_alembic_version\\\")\\n except sa.exc.OperationalError as e:\\n code, _ = e.orig.args\\n if code == 1051: # doesn't exist\\n # we're in a new DB with no trace of the removed chain\\n pass\\n else:\\n raise\\n\\n # The following duplicates a part of a gdrive-related migration,\\n # since a bunch of old migrations in ggrc refer to meetings table.\\n # This part is relevant only for db_reset (new databases), so we\\n # shouldn't recreate this table in downgrade.\\n try:\\n op.drop_table(\\\"meetings\\\")\\n except sa.exc.OperationalError as e:\\n code, _ = e.orig.args\\n if code == 1051: # doesn't exist\\n # we're in an old DB where meetings has been dropped in the removed chain\\n pass\\n else:\\n raise\",\n \"def migrate(cls)->None:\\n pass\",\n \"def revert_fe_transfer_changes():\\n # Cyclic Import\\n from backend.models import FETransfer\\n\\n end_date = datetime.datetime.now()\\n end_date = end_date.replace(second=0, microsecond=0)\\n start_date = end_date - datetime.timedelta(1)\\n\\n all_instances = FETransfer.objects.filter(revert_flag=False,\\n updated_at__range=(start_date, end_date))\\n for instance in all_instances:\\n instance.revert_changes()\",\n \"def rollback(migrator, database, fake=False, **kwargs):\\n pass\",\n \"def rollback(self):\\n pass\",\n \"def rollback(self):\\r\\n self.db.rollback()\",\n \"def revert(self):\\n self.instance.save()\\n return self.instance\",\n \"def rollback(self):\\n self.db.rollback()\",\n \"def model_post_migrate(*args, **kwargs):\\n global IN_MIGRATIONS\\n IN_MIGRATIONS = False\",\n \"def post_migrations(self):\",\n \"def migrate_cancel(self):\\n\\t\\treturn Job(SDK.PrlVm_MigrateCancel(self.handle)[0])\",\n \"def downgrade():\\n # # commands auto generated by Alembic - please adjust! ###\\n op.drop_table('downstream_map')\\n # # end Alembic commands ###\",\n \"def downgrade(revision, sql):\\n alembic_command.downgrade(alembic_config, revision, sql=sql)\",\n \"def reset_db_danger():\\n from flask.ext.migrate import init, migrate\\n # Remove the migration folder if exist\\n if os.path.exists('migrations'):\\n shutil.rmtree('migrations')\\n\\n # Remove the sqlite database files if exist\\n for fl in glob.glob('*.sqlite'):\\n os.remove(fl)\\n\\n # Reset Migration Database\\n init()\\n\\n # migrate database to latest revision\\n migrate(message='init')\",\n \"def downgrade():\\n op.execute(\\\"\\\"\\\"\\n CREATE TABLE ggrc_gdrive_integration_alembic_version (\\n version_num varchar(32) NOT NULL\\n ) ENGINE=InnoDB DEFAULT CHARSET=utf8\\n \\\"\\\"\\\")\\n op.execute(\\\"\\\"\\\"\\n INSERT INTO ggrc_gdrive_integration_alembic_version (version_num)\\n VALUES ('3f64d03c6c01')\\n \\\"\\\"\\\")\",\n \"def reset(self) -> None:\\n call_command('migrate', verbosity=0, database=self._database)\",\n \"def downgrade():\\n op.drop_table(\\\"task_instance_note\\\")\\n op.drop_table(\\\"dag_run_note\\\")\",\n \"def nfvi_resize_revert_instance(instance_uuid, callback, context=None):\\n cmd_id = _compute_plugin.invoke_plugin('resize_revert_instance',\\n instance_uuid, context,\\n callback=callback)\\n return cmd_id\",\n \"def tearDownClass(cls):\\n management.call_command(\\\"migrate\\\")\",\n \"def test_live_migration_task_rollback(self):\\n server, source_host, target_host = self._create_server()\\n self._disable_target_host(target_host)\\n self._stub_delete_server_during_scheduling(server)\\n\\n # Now start the live migration which will fail due to NoValidHost.\\n body = {'os-migrateLive': {'host': None, 'block_migration': 'auto'}}\\n self.api.post_server_action(server['id'], body)\\n # We cannot monitor the migration from the API since it is deleted\\n # when the instance is deleted so just wait for the failed instance\\n # action event after the task rollback happens.\\n self._wait_for_action_fail_completion(\\n server, instance_actions.LIVE_MIGRATION,\\n 'conductor_live_migrate_instance')\\n self._assert_no_allocations(server)\",\n \"def rollback(self):\\n if self.dbmi.__name__ == \\\"psycopg2\\\":\\n if self.connected:\\n self.connection.rollback()\",\n \"def revert(self, ref=None):\\n # TODO\\n raise NotImplementedError\",\n \"def downgrade(self, revision):\\n alembic.command.downgrade(self.alembic_config(), revision)\",\n \"def rollback(self):\\n raise NotImplementedError\",\n \"def Revert():\\n raise Exception(0xF1F1F2F2F3F3F4F4)\",\n \"def downgrade():\\n op.drop_column(\\\"revisions\\\", \\\"resource_slug\\\")\",\n \"def to_rollback(self, migrations):\\n applied = self.get_applied_migration_hashes()\\n ms = (m for m in migrations if m.hash in applied)\\n return migrations.__class__(\\n reversed(topological_sort(ms)), migrations.post_apply\\n )\",\n \"def migratedb(rollback=False):\\n\\n require(\\\"virtualenv_path\\\", \\\"project_path\\\", \\\"sudo_user\\\")\\n\\n #\\n # Some things need to be done first (i.e. if they need a different\\n # database connection or some custom args)\\n #\\n if \\\"migratedb_first\\\" in env:\\n\\n for app, args in env.migratedb_first.iteritems():\\n\\n version = get_south_migrate_version(app, rollback)\\n\\n migrate_app_db(app, version, args)\\n\\n #\\n # Do the rest afterwards\\n #\\n if has_version_info():\\n\\n apps = env.south_migrations.keys()\\n\\n for app in apps:\\n\\n print app\\n\\n version = get_south_migrate_version(app, rollback)\\n\\n migrate_app_db(app, version)\\n\\n #\\n # If we know nothing, just migrate everything\\n #\\n else:\\n migrate_app_db()\",\n \"def downgrade_app_db(app, user, migration_version):\\n ctx.logger.info(\\n 'Downgrading %s DB to revision: %s', app.capitalize(),\\n migration_version\\n )\\n run('db-migrate-down-to', app, user, migration_version)\",\n \"def migrate(ctx):\\n connecter = ScalingoInterface(ctx.obj)\\n connecter.manage_py(\\\"migrate\\\")\",\n \"def revert(self, snapshot):\\n state_root, checkpoint_id = snapshot\\n\\n with self.state_db() as state_db:\\n # first revert the database state root.\\n state_db.root_hash = state_root\\n # now roll the underlying database back\\n\\n self.chaindb.revert(checkpoint_id)\",\n \"def downgrade():\\n op.execute(\\n f\\\"\\\"\\\"\\n ALTER TABLE\\n {config.CLEAN_SCHEMA}.forecasts\\n RENAME COLUMN\\n train_horizon\\n TO\\n training_horizon;\\n \\\"\\\"\\\",\\n ) # noqa:WPS355\",\n \"def rollback(self):\\n self.conn.rollback()\",\n \"def safe_upgrade():\\n goviewbe.upgrade_db(current_app)\",\n \"def rollback_django(ref=None, debug=False, dirty=False):\\n if has_version_info():\\n #\\n # To roll back we need to fetch the existing version, execute the\\n # database rollback, and then do a deploy of a specific version\\n #\\n create_virtualenv()\\n\\n # Copy the new code... the one we want to back out, as we need the\\n # migrations from this\\n operations.fetch_render_copy(ref, debug, dirty)\\n\\n # Rollback the database\\n migratedb(True)\\n\\n # Get the old code\\n del env['tempdir']\\n operations.fetch_render_copy(env.scm_tag[\\\"rollback\\\"], debug, dirty, True)\\n\\n pip_requirements()\\n refresh_wsgi()\\n\\n else:\\n abort(\\\"No version info present to allow rollback\\\")\",\n \"def revert_database(self):\\n # make sure that in unittest database\\n db_manager.db = SqliteDatabase(settings.UNITTEST_DATABASE_NAME)\\n db_manager.Employee._meta.database = db_manager.db\\n db_manager.LogEntry._meta.database = db_manager.db\\n\\n # delete all test data\\n q = db_manager.LogEntry.delete()\\n q.execute()\\n q = db_manager.Employee.delete()\\n q.execute()\\n\\n # switch back to live database\\n db_manager.db = SqliteDatabase(settings.LIVE_DATABASE_NAME)\\n db_manager.Employee._meta.database = db_manager.db\\n db_manager.LogEntry._meta.database = db_manager.db\",\n \"def _cleanup_incomplete_migrations(self, context):\\n LOG.debug('Cleaning up deleted instances with incomplete migration ')\\n migration_filters = {'host': CONF.host,\\n 'status': 'error'}\\n migrations = objects.MigrationList.get_by_filters(context,\\n migration_filters)\\n\\n if not migrations:\\n return\\n\\n inst_uuid_from_migrations = set([migration.instance_uuid for migration\\n in migrations])\\n\\n inst_filters = {'deleted': True, 'soft_deleted': False,\\n 'uuid': inst_uuid_from_migrations}\\n attrs = ['info_cache', 'security_groups', 'system_metadata']\\n with utils.temporary_mutation(context, read_deleted='yes'):\\n instances = objects.InstanceList.get_by_filters(\\n context, inst_filters, expected_attrs=attrs, use_slave=True)\\n\\n for instance in instances:\\n if instance.host != CONF.host:\\n for migration in migrations:\\n if instance.uuid == migration.instance_uuid:\\n # Delete instance files if not cleanup properly either\\n # from the source or destination cloud nodes when\\n # the instance is deleted during resizing.\\n self.driver.delete_instance_files(instance)\\n try:\\n migration.status = 'failed'\\n with migration.obj_as_admin():\\n migration.save()\\n except exception.MigrationNotFound:\\n LOG.warning(_LW(\\\"Migration %s is not found.\\\"),\\n migration.id, context=context,\\n instance=instance)\\n break\",\n \"def backwards(apps, schema_editor):\\n pass\",\n \"def migrate():\\n if apply_migrations():\\n click.echo(OK)\\n else:\\n sys.exit(1)\",\n \"def upgrade():\\n with op.batch_alter_table(\\\"users\\\") as batch_op:\\n batch_op.drop_column(\\\"registered_date\\\")\\n batch_op.drop_column(\\\"registered_age\\\")\\n batch_op.drop_column(\\\"cell\\\")\\n batch_op.drop_column(\\\"portrait_id\\\")\\n batch_op.drop_column(\\\"street_number\\\")\\n batch_op.drop_column(\\\"id_value\\\")\\n batch_op.drop_column(\\\"nat\\\")\\n batch_op.drop_column(\\\"id_name\\\")\\n batch_op.drop_column(\\\"md5\\\")\\n batch_op.drop_column(\\\"date_of_birth\\\")\\n batch_op.drop_column(\\\"sha256\\\")\\n batch_op.drop_column(\\\"username\\\")\\n batch_op.drop_column(\\\"salt\\\")\\n batch_op.drop_column(\\\"timezone_offset\\\")\\n batch_op.drop_column(\\\"uuid\\\")\\n batch_op.drop_column(\\\"title\\\")\\n batch_op.drop_column(\\\"age\\\")\\n batch_op.drop_column(\\\"longitude\\\")\\n batch_op.drop_column(\\\"sha1\\\")\\n batch_op.drop_column(\\\"timezone_description\\\")\\n batch_op.drop_column(\\\"password\\\")\\n batch_op.drop_column(\\\"latitude\\\")\",\n \"def restore(\\n context, backup, user=get_local_user(), remote=False, instance=None, stack=None,\\n):\\n command = f\\\"exec postgres pkill -f {PROJECT}\\\"\\n run_command(context, user, remote, instance, stack, command)\\n\\n command = f\\\"run --rm postgres restore {backup}\\\"\\n run_command(context, user, remote, instance, stack, command)\",\n \"def confirm_migration(self, migration, instance, network_info):\\n raise NotImplementedError()\",\n \"def reset_db():\\n from alembic.command import downgrade, upgrade\\n from alembic.config import Config as AlembicConfig\\n config = AlembicConfig('alembic.ini')\\n downgrade(config, 'base')\\n upgrade(config, 'head')\\n print('Database has been reset')\",\n \"def live_migration_abort(self, server, migration):\\n return self._delete(\\n '/servers/%s/migrations/%s' % (base.getid(server),\\n base.getid(migration)))\",\n \"def rollback(self, stage, enodes, exception):\",\n \"def upgrade():\\n session = sa.orm.Session(bind=op.get_bind().connect())\\n\\n # Add create_share_from_snapshot_support attribute to shares table\\n op.add_column(\\n 'shares',\\n sa.Column('revert_to_snapshot_support', sa.Boolean, default=False))\\n\\n # Set revert_to_snapshot_support on each share\\n shares_table = sa.Table(\\n 'shares',\\n sa.MetaData(),\\n sa.Column('id', sa.String(length=36)),\\n sa.Column('deleted', sa.String(length=36)),\\n sa.Column('revert_to_snapshot_support', sa.Boolean),\\n )\\n # pylint: disable=no-value-for-parameter\\n update = shares_table.update().where(\\n shares_table.c.deleted == 'False').values(\\n revert_to_snapshot_support=False)\\n session.execute(update)\\n session.commit()\\n\\n session.close_all()\",\n \"def migrate(heroku_app=HEROKU_APP):\\n subprocess.run([\\n 'heroku', 'run',\\n '--app', heroku_app,\\n '--env', 'PYTHON_PATH=/app',\\n '--exit-code',\\n '--',\\n 'python', '-m', 'frank.manage', 'db', 'upgrade',\\n ])\\n subprocess.run(['heroku', 'restart', '--app', heroku_app])\",\n \"def revert(self, checkpoint):\\n self._validate_checkpoint(checkpoint)\\n\\n for key, value in self.journal.pop_checkpoint(checkpoint).items():\\n if value is None:\\n self.wrapped_db.delete(key)\\n else:\\n self.wrapped_db.set(key, value)\",\n \"def rollback():\\n current_timestamp = current()\\n previous_timestamp = previous()\\n\\n if previous_timestamp:\\n execute(symlink, *(previous_timestamp, ))\\n run('rm -rf %s' % os.path.join(env.releases_dir, current_timestamp))\",\n \"def rollback(self):\\n # PEP 249\\n raise impala.error.NotSupportedError()\",\n \"def downgrade():\\n # commands auto generated by Alembic - please adjust! ###\\n op.create_table('review',\\n sa.Column('id', sa.INTEGER(), nullable=False),\\n sa.Column('approved', sa.BOOLEAN(), autoincrement=False, nullable=True),\\n sa.Column('user', sa.INTEGER(), autoincrement=False, nullable=True),\\n sa.Column('timestamp', postgresql.TIMESTAMP(), autoincrement=False,\\n nullable=True),\\n sa.Column('comment', sa.TEXT(), autoincrement=False, nullable=True),\\n sa.Column('epv', sa.VARCHAR(length=255), autoincrement=False, nullable=True),\\n sa.ForeignKeyConstraint(['user'], ['user.id'], name='review_user_fkey'),\\n sa.PrimaryKeyConstraint('id', name='review_pkey'))\\n # end Alembic commands ###\",\n \"def upgrade():\\n op.execute(\\n f\\\"\\\"\\\"\\n ALTER TABLE\\n {config.CLEAN_SCHEMA}.forecasts\\n RENAME COLUMN\\n training_horizon\\n TO\\n train_horizon;\\n \\\"\\\"\\\",\\n ) # noqa:WPS355\",\n \"def nfvi_cold_migrate_instance(instance_uuid, callback, to_host_name=None,\\n context=None):\\n if context is None:\\n cmd_id = _compute_plugin.invoke_plugin_expediate(\\n 'cold_migrate_instance', instance_uuid, to_host_name, context,\\n callback=callback)\\n else:\\n cmd_id = _compute_plugin.invoke_plugin(\\n 'cold_migrate_instance', instance_uuid, to_host_name, context,\\n callback=callback)\\n return cmd_id\",\n \"def rollback(self):\\n self._rollback = True\",\n \"def undo(backup):\\r\\n backup.load_backup()\\r\\n backup.undo_moves()\",\n \"def down(config, database, semester, course):\\n pass\",\n \"def down(config, database, semester, course):\\n pass\",\n \"def tearDown(self):\\n model.DBSession.rollback()\",\n \"def downgrade(self, revision: str = \\\"head\\\") -> \\\"Alembic\\\":\\n\\n self.configure()\\n\\n if not self.migrator_base.does_table_exists(\\n \\\"alembic_version\\\"\\n ) or self.is_revision_different(revision):\\n PyFunceble.facility.Logger.info(\\n \\\"Started downgrade (%r) of the database schema(s).\\\", revision\\n )\\n\\n alembic_command.downgrade(self.alembic_config, revision)\\n\\n PyFunceble.facility.Logger.info(\\n \\\"Finished downgrade (%r) of the database schema(s).\\\", revision\\n )\",\n \"def create_versions_after_migration(**kwargs):\\n migrations = [migration\\n for migration, rollback in kwargs.get('plan', [])\\n if not rollback]\\n models: Set[Any] = set()\\n for migration in migrations:\\n models.update(getattr(migration, 'REVISED_MODELS', []))\\n\\n with transaction.atomic():\\n for model in reversion_models(models):\\n create_revisions_for(model)\",\n \"def upgrade(revision, sql):\\n alembic_command.upgrade(alembic_config, revision, sql=sql)\",\n \"def migratefuture(config, comm, collection, database, host, port):\\n des_db = database if database else 'ccsdm'\\n des_tbl = collection if collection else 'sfdc_dump'\\n CleanSFDCDump(comm, des_tbl, des_db, host=host, port=port).execute()\\n return\",\n \"def rollback():\\n with cd(env.basepath):\\n run('mv current/rollback rollback')\\n run('mv current undeployed')\\n run('mv rollback current')\\n version = run('readlink current')\\n previous = run('readlink undeployed')\\n puts(green('>>> Rolled back from %(previous)s to %(version)s' % { 'previous': previous, 'version': version }))\\n run('rm -fr %s' % previous)\\n run('rm undeployed')\\n sudo('service nginx reload')\\n with cd(env.nodejs):\\n for n in [1, 2]:\\n with settings(warn_only=True):\\n sudo('stop nodejs N=%s' % n)\\n run('mv instance%s/rollback rollback%s' % (n, n))\\n run('mv instance%s undeployed' % n)\\n run('mv rollback%s instance%s' % (n, n))\\n version = run('readlink instance%s' % n)\\n previous = run('readlink undeployed')\\n puts(green('>>> Rolled back nodejs %(n)s from %(previous)s to %(version)s' % { 'n': n, 'previous': previous, 'version': version }))\\n run('rm -fr %s' % previous)\\n run('rm undeployed')\\n sudo('start nodejs N=%s' % n)\",\n \"def tearDown(self):\\n db.session.rollback()\",\n \"def tearDown(self):\\n db.session.rollback()\",\n \"def tearDown(self):\\n db.session.rollback()\",\n \"def tearDown(self):\\n db.session.rollback()\",\n \"def tearDown(self):\\n db.session.rollback()\",\n \"def tearDown(self):\\n db.session.rollback()\",\n \"def recreate():\\n drop()\\n create()\",\n \"def model_pre_migrate(*args, **kwargs):\\n global IN_MIGRATIONS\\n IN_MIGRATIONS = True\",\n \"def upgradedb(ctx):\\n path = Path(__file__).resolve().parent.parent\\n conf = Config(str(path / \\\"migrations\\\" / \\\"alembic.ini\\\"))\\n conf.set_main_option(\\\"script_location\\\", str(path / \\\"migrations\\\"))\\n command.upgrade(conf, \\\"heads\\\")\",\n \"def upgrade(self):\",\n \"def upgrade(self):\",\n \"def down(self, arguments):\\n force = arguments['--force']\\n\\n instance_name = arguments['<instance>']\\n instance_name = self.activate(instance_name)\\n\\n vmrun = VMrun(self.vmx, user=self.user, password=self.password)\\n if not force and vmrun.installedTools():\\n stopped = vmrun.stop()\\n else:\\n stopped = vmrun.stop(mode='hard')\\n if stopped is None:\\n puts_err(colored.red(\\\"Not stopped\\\", vmrun))\\n else:\\n puts_err(colored.green(\\\"Stopped\\\", vmrun))\",\n \"def rollback_one(self, migration, force=False):\\n logger.info(\\\"Rolling back %s\\\", migration.id)\\n self.ensure_internal_schema_updated()\\n migration.process_steps(self, \\\"rollback\\\", force=force)\\n self.log_migration(migration, \\\"rollback\\\")\\n with self.transaction():\\n self.unmark_one(migration, log=False)\",\n \"def tearDown(self):\\r\\n db.session.rollback()\",\n \"def tearDown(self):\\n\\n db.session.rollback()\",\n \"def tearDown(self):\\n\\n db.session.rollback()\",\n \"def tearDown(self):\\n\\n db.session.rollback()\",\n \"def tearDown(self):\\n\\n db.session.rollback()\",\n \"def tearDown(self):\\n\\n db.session.rollback()\",\n \"def tearDown(self):\\n\\n db.session.rollback()\",\n \"def tearDown(self):\\n\\n db.session.rollback()\",\n \"def tearDown(self):\\n\\n db.session.rollback()\",\n \"def tearDown(self):\\r\\n\\r\\n db.session.rollback()\",\n \"def rollback(self):\\n self.remove_repo_config()\\n self.remove_repos()\\n\\n self.supervisor.start_all_services()\",\n \"def RollBack(self):\\r\\n self.conn.rollback()\",\n \"def upgrade():\\n\\n conn = op.get_bind()\\n invalid_acr = get_invalid_acrs(conn, models_names)\\n\\n if invalid_acr:\\n invalid_acr_ids = [x.id for x in invalid_acr]\\n add_to_objects_without_revisions_bulk(conn,\\n invalid_acr_ids,\\n acr,\\n \\\"deleted\\\")\\n delete_invalid_acr(conn, models_names)\",\n \"def drop():\\n if prompt_bool(\\\"Are you sure you want to lose all your data\\\"):\\n db.drop_all()\\n db.engine.execute(\\\"drop table if exists alembic_version\\\")\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.69084084","0.6837074","0.66857207","0.66517055","0.66482615","0.6580794","0.6542509","0.65224993","0.6518319","0.65061986","0.6489541","0.64496523","0.6444745","0.6442864","0.6369054","0.6349502","0.6275725","0.62747025","0.6249206","0.62250805","0.6209609","0.6194863","0.61852497","0.6168309","0.61588657","0.6152546","0.6152467","0.6101748","0.6099513","0.6098158","0.60868484","0.60760695","0.60578704","0.6049118","0.6031057","0.60213625","0.6010307","0.5981751","0.5976856","0.5951245","0.59501755","0.59426475","0.5937309","0.5913674","0.5910656","0.5858773","0.58579886","0.5853607","0.5835878","0.582991","0.5828855","0.58171266","0.5801786","0.57892853","0.57888395","0.5784554","0.5773043","0.57673705","0.57283175","0.57057613","0.57034314","0.5701162","0.56886286","0.56835943","0.56605303","0.5633842","0.5633842","0.56314176","0.5627371","0.56065","0.55947006","0.55921036","0.5579617","0.5568941","0.5568941","0.5568941","0.5568941","0.5568941","0.5568941","0.55574554","0.5556568","0.5555526","0.5549806","0.5549806","0.5549179","0.55441195","0.55347097","0.5531985","0.5531985","0.5531985","0.5531985","0.5531985","0.5531985","0.5531985","0.5531985","0.552571","0.5513193","0.5506246","0.5504826","0.55018103"],"string":"[\n \"0.69084084\",\n \"0.6837074\",\n \"0.66857207\",\n \"0.66517055\",\n \"0.66482615\",\n \"0.6580794\",\n \"0.6542509\",\n \"0.65224993\",\n \"0.6518319\",\n \"0.65061986\",\n \"0.6489541\",\n \"0.64496523\",\n \"0.6444745\",\n \"0.6442864\",\n \"0.6369054\",\n \"0.6349502\",\n \"0.6275725\",\n \"0.62747025\",\n \"0.6249206\",\n \"0.62250805\",\n \"0.6209609\",\n \"0.6194863\",\n \"0.61852497\",\n \"0.6168309\",\n \"0.61588657\",\n \"0.6152546\",\n \"0.6152467\",\n \"0.6101748\",\n \"0.6099513\",\n \"0.6098158\",\n \"0.60868484\",\n \"0.60760695\",\n \"0.60578704\",\n \"0.6049118\",\n \"0.6031057\",\n \"0.60213625\",\n \"0.6010307\",\n \"0.5981751\",\n \"0.5976856\",\n \"0.5951245\",\n \"0.59501755\",\n \"0.59426475\",\n \"0.5937309\",\n \"0.5913674\",\n \"0.5910656\",\n \"0.5858773\",\n \"0.58579886\",\n \"0.5853607\",\n \"0.5835878\",\n \"0.582991\",\n \"0.5828855\",\n \"0.58171266\",\n \"0.5801786\",\n \"0.57892853\",\n \"0.57888395\",\n \"0.5784554\",\n \"0.5773043\",\n \"0.57673705\",\n \"0.57283175\",\n \"0.57057613\",\n \"0.57034314\",\n \"0.5701162\",\n \"0.56886286\",\n \"0.56835943\",\n \"0.56605303\",\n \"0.5633842\",\n \"0.5633842\",\n \"0.56314176\",\n \"0.5627371\",\n \"0.56065\",\n \"0.55947006\",\n \"0.55921036\",\n \"0.5579617\",\n \"0.5568941\",\n \"0.5568941\",\n \"0.5568941\",\n \"0.5568941\",\n \"0.5568941\",\n \"0.5568941\",\n \"0.55574554\",\n \"0.5556568\",\n \"0.5555526\",\n \"0.5549806\",\n \"0.5549806\",\n \"0.5549179\",\n \"0.55441195\",\n \"0.55347097\",\n \"0.5531985\",\n \"0.5531985\",\n \"0.5531985\",\n \"0.5531985\",\n \"0.5531985\",\n \"0.5531985\",\n \"0.5531985\",\n \"0.5531985\",\n \"0.552571\",\n \"0.5513193\",\n \"0.5506246\",\n \"0.5504826\",\n \"0.55018103\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.739316"},"document_rank":{"kind":"string","value":"0"}}},{"rowIdx":20479,"cells":{"query":{"kind":"string","value":"Resize confirm an instance"},"document":{"kind":"string","value":"def nfvi_resize_confirm_instance(instance_uuid, callback, context=None):\n cmd_id = _compute_plugin.invoke_plugin('resize_confirm_instance',\n instance_uuid, context,\n callback=callback)\n return cmd_id"},"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 handleResize(self):\n pass","def resizeEvent(self, event):\n self.resized.emit()\n return super(PiWndow, self).resizeEvent(event)","def resize(self):\n pass","def on_resize(self, width, height):\n self.gamestatemanager.peek().on_resize(width, height)","def OnResize(self, event):\n self._resizing = True\n self._resize_timer.Start(60, True)","def resize(self):\r\n Win.resize(self)\r\n self.write(\"### console has been resized\")","def ev_windowresized(self, event: WindowResized) -> None:","def __window_resizeTo(self, iWidth, iHeight):\n pass","def resizeEvent(self, event):\n super().resizeEvent(event)\n self.resized.emit()","def resize(self):\r\n del self.win\r\n self.__create_win()","def on_parent_resize(self, event):\n #self.resize()\n #self.resize_scaled(drag_rootx=self.resize_frame.winfo_rootx())\n self.resize_scaled(current=MathStat.lerp(0,\n self.prop_frame.winfo_width(), self.last_right_bias))","def resizeEvent(self, event):\n self.updateViewer()","def ev_windowsizechanged(self, event: WindowResized) -> None:","def resize(self, old, new):","def resizeEvent(self, event):\n self.autosize()\n super().resizeEvent(event)","def signal_handler(self,sig,data):\n self.resize_child_window()","def OnSize(self, event):\r\n\r\n if self._owner_mgr and self._send_size:\r\n self._owner_mgr.OnFloatingPaneResized(self._pane_window, event.GetSize())","def resize(self, event=None):\n #self.render()\n self.__resize_background(event)\n #self.__delete_background()\n #self.__create_background(self._imfname)\n for sym in self.itersymbols():\n sym.sym.resize(event)","def OnResizeEnd(self, event):\n self._resizing = False\n self.Refresh()","def resizeEvent(self, event):\r\n QDialog.resizeEvent(self, event)\r\n self.emit(SIGNAL(\"size_change(QSize)\"), self.size())","def ev_windowresized(self, event: tcod.event.WindowResized) -> T | None:","def OnMotion_Resize(self, event):\r\n\r\n if AuiManager_HasLiveResize(self):\r\n if self._currentDragItem != -1:\r\n self._action_part = self._uiparts[self._currentDragItem]\r\n else:\r\n self._currentDragItem = self._uiparts.index(self._action_part)\r\n\r\n if self._frame.HasCapture():\r\n self._frame.ReleaseMouse()\r\n \r\n self.DoEndResizeAction(event)\r\n self._frame.CaptureMouse()\r\n return\r\n\r\n if not self._action_part or not self._action_part.dock or not self._action_part.orientation:\r\n return\r\n\r\n clientPt = event.GetPosition()\r\n screenPt = self._frame.ClientToScreen(clientPt)\r\n \r\n dock = self._action_part.dock\r\n pos = self._action_part.rect.GetPosition()\r\n\r\n if self._action_part.type == AuiDockUIPart.typeDockSizer:\r\n minPix, maxPix = self.CalculateDockSizerLimits(dock)\r\n else:\r\n if not self._action_part.pane:\r\n return\r\n \r\n pane = self._action_part.pane\r\n minPix, maxPix = self.CalculatePaneSizerLimits(dock, pane)\r\n\r\n if self._action_part.orientation == wx.HORIZONTAL:\r\n pos.y = Clip(clientPt.y - self._action_offset.y, minPix, maxPix)\r\n else:\r\n pos.x = Clip(clientPt.x - self._action_offset.x, minPix, maxPix)\r\n\r\n hintrect = wx.RectPS(self._frame.ClientToScreen(pos), self._action_part.rect.GetSize())\r\n\r\n if hintrect != self._action_rect:\r\n \r\n if wx.Platform == \"__WXMAC__\":\r\n dc = wx.ClientDC(self._frame)\r\n else:\r\n dc = wx.ScreenDC()\r\n\r\n DrawResizeHint(dc, self._action_rect)\r\n DrawResizeHint(dc, hintrect)\r\n self._action_rect = wx.Rect(*hintrect)","def ev_windowsizechanged(self, event: tcod.event.WindowResized) -> T | None:","def resize(self):\n h, w = self.win.getmaxyx()\n self.maxh, self.maxw = h, w\n if w == 0 or h == 2:\n return\n self.win.resize(h, w)\n self.lpane.do_resize(h, w)\n self.rpane.do_resize(h, w)\n self.statusbar.resize(h, w)\n self.tabbar.resize(1,w)\n self.regenerate()\n self.display()","def __onResize(self, ev):\n ev.Skip()\n self.__calcCanvasSizes()","def _resize_image(self, event):\n self.window_width = event.width\n self.window_height = event.height","def on_resize(self, _: int = 0) -> None:\n assert CursesMenu.stdscr is not None\n screen_rows, screen_cols = CursesMenu.stdscr.getmaxyx()\n curses.resizeterm(screen_rows, screen_cols)\n self.draw()","def onSize(self,event=None):\n if self.app.DEBUG:\n print 'Event: Parent: %s.onSize'%self.__class__\n if self.redraw:self.redraw()","def _set_size(self):\n if self.width_key is not None:\n width = config.get(self.width_key)\n height = config.get(self.height_key)\n self.window.resize(width, height)","def Pane_Resized( self, new_sizes ):\r\n if(new_sizes[0] > 200 ):\r\n cb.xtotal = new_sizes[0]-100\r\n self.canvas_one.config(width = new_sizes[0])\r\n self.canvas_scale.config(width = new_sizes[0])\r\n else:\r\n cb.xtotal = 200-100\r\n self.canvas_one.config(width = 200)\r\n self.canvas_scale.config(width = 200)\r\n if (len(new_sizes) > 1 ):\r\n self.canvas_two.config(width=new_sizes[1])\r\n self.system.Draw()","def _changed_size(self, **kw):\n\t\tself._clear_matrix()\n\t\t\n\t\tself._recalc_adjustments()\n\t\t\n\t\tif self.flags() & gtk.REALIZED:\n\t\t\tif kw.get('resize', True): self.queue_resize()\n\t\t\tif kw.get('draw', True): self.queue_draw()","def OnSize(self, event):\r\n\r\n self.Layout()","def resize(self, width: int, height: int):\n pass","def test_resize_up_confirm(self):\n server_id = self._create_server(flavor=self.flavor.id).id\n # get the starting quota now that we've created a server\n starting_usage = self._get_absolute_limits()\n # now resize up\n alternate_flavor = self._pick_alternate_flavor()\n self.nova('resize',\n params='%s %s --poll' % (server_id, alternate_flavor))\n resize_usage = self._get_absolute_limits()\n # compare the starting usage against the resize usage\n self._compare_quota_usage(starting_usage, resize_usage)\n # now confirm the resize\n self.nova('resize-confirm', params='%s' % server_id)\n # we have to wait for the server to be ACTIVE before we can check quota\n self._wait_for_state_change(server_id, 'active')\n # get the final quota usage which should be the same as the resize\n # usage before confirm\n confirm_usage = self._get_absolute_limits()\n self._compare_quota_usage(\n resize_usage, confirm_usage, expect_diff=False)","def resize(self, width, height):\n geo = self.geometry\n # Start of menu.\n self.menu_start = self.window.width - (geo.menu_width +\\\n geo.horizontal_margin + geo.scroll_bar_width)\n # Update vertical span of the window.\n self.current_view_span = height - self.status_bar.height\n # Call the resize method of all objects in the current window.\n for object in self.object_list:\n object.resize(width, height)\n # Just one call to the adaptive plot height is needed. Therefore the\n # calls need to be here.\n if self.waveforms:\n self.utils.adaptPlotHeight()","def __window_resizeBy(self, xDelta, yDelta):\n pass","def on_resize_parent(self,event):\n #print(\"parent event size=\"+str(event.width)+\" X \"+str(event.height))\n self.canvas_width = event.width\n self.canvas_height = event.height\n self.canvas.get_tk_widget().config(width=self.canvas_width, height=self.canvas_height)\n self.show_image()","def body_resize(self):","def resize(self, size):\n self.widget.resize(*size)","def resize(self, width, height):\n if self.example:\n self.example.resize(width, height)","def __ev_resize(self, event):\n\n new_size = event.dict['size']\n surface_size = self.__screen.get_size()\n old_center = self.__screen.get_rect().center\n if new_size != surface_size:\n self.__screen = pygame.display.set_mode(new_size,\n self.__screen.get_flags(),\n self.__screen.get_bitsize())\n self.init(offset=vect_diff(self.__screen.get_rect().center,\n old_center))\n self.__screen_width, self.__screen_height = self.__screen.get_size()","def resize(self):\n\t\tself.win.erase()\n\t\tfor c in self.components:\n\t\t\tc.resize()\n\t\tself.draw(True)","def OnSize(self, event):\r\n \r\n self.UpdateHintWindowSize()\r\n event.Skip()","def resize_child_window(self):\n s = struct.pack('HHHH', 0, 0, 0, 0)\n x = fcntl.ioctl(0,termios.TIOCGWINSZ,s)\n fcntl.ioctl(self.child_fd,termios.TIOCSWINSZ,x)","def notifyResized(self, function, **kwargs):\n self._sig_resized.subscribe(function, **kwargs)","def resize(self, rows, cols, minecount, event=None):\n self.clearFrame()\n #reset relevant instance variables\n self.rows = rows\n self.cols = cols\n self.numMines = minecount\n self.numChecked = 0\n self.numFlags = 0\n self.minesArmed = False\n self.startTime = None\n\n #re-add all elements on the board\n self.setUpFrame()\n self.addTiles(rows,cols,minecount)\n\n #resize window to fit the new board size\n windowWidth = str(20*cols+40)\n windowHeight = str(20*rows+60)\n self.parent.minsize(windowWidth, windowHeight)\n self.parent.maxsize(windowWidth, windowHeight)\n self.parent.geometry(windowWidth+'x'+windowHeight)","def resizeEvent(self, event):\n event.accept()\n self.overlay.resize(event.size())\n # Move gif to the center of the widget\n self.overlay.move(self.rect().center() - self.overlay.rect().center())","def resize(self, *args):\n return _ida_hexrays.hexwarns_t_resize(self, *args)","def resize(self, width, height):\n\n\t\tself._window.resize(width, height)","def on_resize_parentx(self,event):\n ##print(\"parent event size=\"+str(event.width)+\" X \"+str(event.height))\n self.canvas_width = event.width\n self.canvas.get_tk_widget().config(width=self.canvas_width)\n self.show_image()","def update_resize(self, viewer, dims):\n self.recalc(viewer)","def resizeEvent(self, *args, **kwargs):\n self.windowMoved.emit()","def setwinsize(self, rows, cols):","def UpdateSizing(self):\n def closure(pane):\n pane.MinSize(self.GetBestSize())\n self._PaneInfoOperation(closure)","def resizeEvent(self, event):\n self.refresh_images(resize=True)\n QMainWindow.resizeEvent(self, event)","def OnSize(self,event):\r\n\t\t\r\n self.SetupView()\r\n event.Skip()","def on_resize(event):\n gloo.set_viewport(0, 0, *event.physical_size)","def notifyResize(self, function, **kwargs):\n self._sig_resize.subscribe(function, **kwargs)","def Resizable(self, resizable=True):\r\n \r\n return self.SetFlag(self.optionResizable, resizable)","def resizeEvent(self, event):\n\n self.settings.setValue(\"geometry\", self.saveGeometry())\n\n super().resizeEvent(event)","def OnOkButton(self,event):\n debug.debug_info(\"avatarSizeDialog.OnOkButton()\")\n size = self.sizeSlider.GetValue()\n\n # generate the avatars of the neighbors with the size value\n self.resizeAvatars(size)\n\n # save the new value in the conf file\n configuration.writeConfParameterValue(\"avatarSize\", size)\n\n # close the dialog box\n self.Close(FALSE)","def partVirtualHelixResizedSlot(self, sender, coord):\n vh = self._virtualHelixHash[coord]\n vh.resize()","def resize(self, instance, flavor):\n return instance.resize(flavor)","def resizeEvent(self, event: 'QResizeEvent'):\n newSize = event.size()\n # self.setMask(QRegion(self.rect()))\n\n if self._movedToCenter < 3: # 2 size adjustments are done before self reaches its final assigned size.\n self.move(self.screenSize.width() / 2 - newSize.width() / 2,\n self.screenSize.height() / 2 - newSize.height() / 2)\n self._movedToCenter += 1","def resizeEvent(self, event):\n self.image_canvas.fit_in_view()","def check_resize(self):\n yx = self.screen.getmaxyx()\n if self.current_yx != yx:\n self.current_yx = yx\n self.resize(yx)","def on_resize(self, width, height):\n\t\tglViewport(0, 0, width, height)\n\t\tglMatrixMode(GL_PROJECTION)\n\t\tglLoadIdentity()\n\t\tgluPerspective(70., width / float(height), .1, 1000.)\n\t\tglMatrixMode(GL_MODELVIEW)\n\t\treturn pyglet.event.EVENT_HANDLED","def autoResize(self):\n\t\t#self.infoLabelBox.set_size_request(1,1)\n\t\timgSize = [self.currentPixbuf.get_width() * self.scaleFactor, self.currentPixbuf.get_height() * self.scaleFactor]\n\t\timgSize = map(lambda x: max(int(x), 1), imgSize)\n\t\tif not self.fullscreenToggle:\n\t\t\tself.resize(imgSize[0], imgSize[1])\n\t\t\tposition = ( int(0.5 * (self.get_screen().get_width() - imgSize[0])),\n\t\t\t\tint(0.5 * (self.get_screen().get_height() - imgSize[1])))\n\t\t\tself.move(position[0], position[1])\n\t\t\tself.fixed.move(self.imgDisplay, 0, 0)\n\t\t\tif not self.hideTransparent and self.imgTrans.bgOn:\n\t\t\t\tself.imgTrans.set_size_request(imgSize[0], imgSize[1])\n\t\t\t# make eventbox the same size as image\n\t\t\t# this will not be correct when infoLabelBox is visible\n\t\t\tself.eventBox.set_size_request(imgSize[0], imgSize[1])\n\t\telse:\n\t\t\tself.fixed.move(self.imgDisplay, max(0, int((self.get_size()[0] - imgSize[0]) / 2)),\n\t\t\t\tmax(0, int((self.get_size()[1] - imgSize[1]) / 2)))\n\t\t\tif not self.hideTransparent and self.imgTrans.bgOn:\n\t\t\t\tself.imgTrans.set_size_request(int(self.get_size()[0]), int(self.get_size()[1]))\n\t\t\t# make eventbox the same size as screen\n\t\t\tself.eventBox.set_size_request(self.get_size()[0],self.get_size()[1])","def resize(self, *args):\n if self.parent is None: # when deleted\n return\n if self.parent.render_window is None: # BasePlotter\n return\n\n if self._prior_window_size != self.parent.window_size:\n self._prior_window_size = self.parent.window_size\n\n actor = self._actors['background']\n image_data = actor.GetInput()\n origin = image_data.GetOrigin()\n extent = image_data.GetExtent()\n spacing = image_data.GetSpacing()\n xc = origin[0] + 0.5 * (extent[0] + extent[1]) * spacing[0]\n yc = origin[1] + 0.5 * (extent[2] + extent[3]) * spacing[1]\n yd = (extent[3] - extent[2] + 1) * spacing[1]\n dist = self.camera.distance\n\n # make the longest dimensions match the plotting window\n img_dim = np.array(image_data.dimensions[:2])\n self.camera.focus = np.array([xc, yc, 0.0])\n self.camera.position = np.array([xc, yc, dist])\n\n ratio = img_dim / np.array(self.parent.window_size)\n scale_value = 1\n if ratio.max() > 1:\n # images are not scaled if larger than the window\n scale_value = ratio.max()\n\n if self._scale is not None:\n scale_value /= self._scale\n\n self.camera.parallel_scale = 0.5 * yd / self._scale","def resizeEvent(self, event):\n size = self.size()\n size = QSize(int(size.width()),int(size.height()))\n\n scaledPix = self.pixmap.scaled(size, Qt.KeepAspectRatio, transformMode = Qt.FastTransformation )\n self.setPixmap(scaledPix)","def resizePreview(self):\n ratio = float(self.qIma.width()) / float(self.qIma.height())\n if self.qIma.width() > self.qIma.height():\n width = 300\n height = int(float(width) / ratio)\n else:\n height = 170\n width = int(float(height) / ratio)\n if 'prodManager' in os.path.basename(self._ima):\n width = 300\n height = 170\n self.lPreview.setMinimumSize(width, height)\n self.lPreview.setMaximumSize(width, height)","def onSize(self, event): \n\t\tw, h = self.GetClientSizeTuple()\n\t\tself.tree.SetDimensions(0, 0, w, h)","def resize_display(self, (w, h)):\n self.surface = pygame.display.set_mode((w, h), pygame.RESIZABLE)","def resize_x(self) -> bool:\n raise NotImplementedError","def OnSize(self, event):\r\n \r\n skipped = False\r\n if isinstance(self._frame, AuiFloatingFrame) and self._frame.IsShownOnScreen():\r\n skipped = True\r\n event.Skip()\r\n\r\n if self._frame:\r\n \r\n self.DoFrameLayout()\r\n if wx.Platform == \"__WXMAC__\":\r\n self._frame.Refresh()\r\n else:\r\n self.Repaint()\r\n \r\n if isinstance(self._frame, wx.MDIParentFrame) or isinstance(self._frame, tabmdi.AuiMDIClientWindow) \\\r\n or isinstance(self._frame, tabmdi.AuiMDIParentFrame):\r\n # for MDI parent frames, this event must not\r\n # be \"skipped\". In other words, the parent frame\r\n # must not be allowed to resize the client window\r\n # after we are finished processing sizing changes\r\n return\r\n\r\n if not skipped:\r\n event.Skip()\r\n\r\n # For the snap to screen...\r\n self.OnMove(None)","def OnFloatingPaneResized(self, wnd, size):\r\n\r\n # try to find the pane\r\n pane = self.GetPane(wnd)\r\n if not pane.IsOk():\r\n raise Exception(\"Pane window not found\")\r\n\r\n if pane.frame:\r\n indx = self._panes.index(pane)\r\n pane.floating_pos = pane.frame.GetPosition()\r\n pane.floating_size = size\r\n self._panes[indx] = pane\r\n if pane.IsSnappable():\r\n self.SnapPane(pane, pane.floating_pos, pane.floating_size, True)","def resize(self, rows, cols, mines):\n if self.menuVar.get() != 4: self.checkVar.set(0)\n self.myBoard.resize(rows, cols, mines)","def send_size_event() -> None:\n terminal_size = self._get_terminal_size()\n width, height = terminal_size\n textual_size = Size(width, height)\n event = events.Resize(textual_size, textual_size)\n asyncio.run_coroutine_threadsafe(\n self._app._post_message(event),\n loop=loop,\n )","def set_size(self, w, h):\n\t\tpass","def resize(self,event):\n if event.widget==self.master:\n Y=event.height\n X=event.width\n self.seqframe.configure(width=X-self.canvas_border_x,\n height=Y-self.canvas_border_y)\n return","def resizeEvent(self, event):\n dim = event.size()\n self.height1 = dim.height()\n self.width1 = dim.width()\n hscale = self.height1 / 600\n wscale = self.width1 / 800\n tmpy = 10\n tmpx = self.width1 - 160\n self.helpBttn.setGeometry(tmpx, tmpy, 150, 50)\n tmpwidth = self.width1 - 20\n self.titleLbl.setGeometry(10, 20, tmpwidth, 60)\n tmpy = 70 * hscale\n tmpx = (self.width1 / 2) - 80\n self.shortCheck.setGeometry(tmpx, tmpy, 160, 25)\n tmpy = 110 * hscale\n tmpx = (self.width1 - 700) / 2\n self.rumascLbl.setGeometry(tmpx, tmpy, 330, 25)\n tmpx = ((self.width1 / 2) + 20) \n self.rufemLbl.setGeometry(tmpx, tmpy, 330, 25)\n tmpy = 140 * hscale\n tmpx = (self.width1 - 700) / 2\n self.rumascEdit.setGeometry(tmpx, tmpy, 330, 30)\n tmpx = ((self.width1 / 2) + 20) \n self.rufemEdit.setGeometry(tmpx, tmpy, 330, 30)\n tmpy = 210 * hscale\n tmpx = (self.width1 - 700) / 2\n self.runuetLbl.setGeometry(tmpx, tmpy, 330, 25)\n tmpx = ((self.width1 / 2) + 20)\n self.ruplurLbl.setGeometry(tmpx, tmpy, 330, 25)\n tmpy = 240 * hscale\n tmpx = (self.width1 - 700) / 2\n self.runuetEdit.setGeometry(tmpx, tmpy, 330, 30)\n tmpx = ((self.width1 / 2) + 20)\n self.ruplurEdit.setGeometry(tmpx, tmpy, 330, 30)\n tmpx = (self.width1 - 330) / 2\n tmpy = 300 * hscale\n self.stemLbl.setGeometry(tmpx, tmpy, 330, 25)\n tmpy = 330 * hscale\n self.stemEdit.setGeometry(tmpx, tmpy, 330, 25)\n tmpy = 390 * hscale\n self.engLbl.setGeometry(tmpx, tmpy, 330, 25)\n tmpy = 420 * hscale\n self.enEdit.setGeometry(tmpx, tmpy, 330, 25)\n tmpx = ((self.width1 - 540) / 2)\n tmpy = self.height1 - 80\n self.quitBttn.setGeometry(tmpx, tmpy, 150, 50)\n tmpx = (self.width1 / 2) - 75\n self.backBttn.setGeometry(tmpx, tmpy, 150, 50)\n tmpx = (self.width1 / 2) + 120\n self.acceptBttn.setGeometry(tmpx, tmpy, 150, 50)\n tmpos = self.pos()\n self.winx = tmpos.x()\n self.winy = tmpos.y()\n self.geometry = list([self.winx, self.winy, self.width1, self.height1])","def resizeEvent(self, event):\n if ((event.oldSize().height() == 0 and event.size().height()) or\n (event.oldSize().width() == 0 and event.size().width())):\n self.updateContents()\n return super().resizeEvent(event)","def resizable(self, resizablelargura, resizablealtura):\n\n try:\n # FUNÇÃO DEFINIDA PARA CONTROLAR O REDIMENSIONAMENTO\n self.root.resizable(resizablelargura, resizablealtura)\n except Exception as ex:\n print(ex)","def resize(self, auto_layout = False, **kwds):\n\t\told_auto_layout = self.auto_layout\n\t\ttry:\n\t\t\tself.auto_layout = auto_layout\n\t\t\tself.set(**kwds)\n\t\tfinally:\n\t\t\tself.auto_layout = old_auto_layout","def size_with_window(self, size_with_window):\n\n self.container['size_with_window'] = size_with_window","def resize(self, size):\n self.instance.resize_volume(size)\n self.size = size","def OnSize(self, event):\r\n size = self.GetClientSizeTuple()\r\n self.gList.SetSize(size)","def on_user_resize(self, event):\n self.resize_scaled(drag_rootx=event.x_root + self._mouse_drag_offset)","def change_size(self, width, height):\n oldw = float(self.size().width())\n oldh = float(self.size().height())\n\n if self.indicator_type == 'session':\n neww = int(oldw + oldw * (width / 100.0))\n if neww > 0:\n self.setFixedSize(neww, oldh)\n elif self.indicator_type == 'unit':\n newh = int(oldh + oldh * (height / 100.0))\n if newh > 0:\n self.setFixedSize(oldw, newh)\n\n self.set_font_size()","def on_resize(self, *args):\n\n self.page_current.width = terminal.width # Give page new terminal width\n self.render_buffer = []\n\n self.render() # Re-render buffer","def OnSize(self, event):\r\n\r\n if self._blindMode or not self.CanSetTransparent():\r\n self.MakeVenetianBlinds()","def getwinsize(self):","def container_resized(self, delta):\n\t\tdw, dh = delta\n\t\tleft, top, right, bottom = self.bounds\n\t\tif self.hmove:\n\t\t\tleft += dw\n\t\t\tright += dw\n\t\telif self.hstretch:\n\t\t\tright += dw\n\t\tif self.vmove:\n\t\t\ttop += dh\n\t\t\tbottom += dh\n\t\telif self.vstretch:\n\t\t\tbottom += dh\n\t\tself.bounds = (left, top, right, bottom)","def resize(clip, size=None):\n if size is None:\n return clip.fx(vfx.resize, height=720)\n return clip.fx(vfx.resize, size)","def on_canvas_resize(self, event) -> None:\r\n\r\n self.painter.adjust_to_canvas()\r\n self.painter.draw_board()","def DoEndResizeAction(self, event):\r\n\r\n clientPt = event.GetPosition()\r\n screenPt = self._frame.ClientToScreen(clientPt)\r\n\r\n return self.RestrictResize(clientPt, screenPt, createDC=False)","def OnStateChange(self, sz):\r\n\r\n # minimal size has priority over the best size so set here our min size\r\n self.SetMinSize(sz)\r\n self.SetSize(sz)\r\n\r\n if self.HasFlag(wx.CP_NO_TLW_RESIZE):\r\n # the user asked to explicitely handle the resizing itself...\r\n return\r\n \r\n # NB: the following block of code has been accurately designed to\r\n # as much flicker-free as possible be careful when modifying it!\r\n\r\n top = wx.GetTopLevelParent(self)\r\n if top:\r\n # NB: don't Layout() the 'top' window as its size has not been correctly\r\n # updated yet and we don't want to do an initial Layout() with the old\r\n # size immediately followed by a SetClientSize/Fit call for the new\r\n # size that would provoke flickering!\r\n\r\n if top.GetSizer():\r\n if (wx.Platform == \"__WXGTK__\" and self.IsCollapsed()) or wx.Platform != \"__WXGTK__\":\r\n # FIXME: the SetSizeHints() call would be required also for GTK+ for\r\n # the expanded.collapsed transition. Unfortunately if we\r\n # enable this line, then the GTK+ top window won't always be\r\n # resized by the SetClientSize() call below! As a side effect\r\n # of this dirty fix, the minimal size for the pane window is\r\n # not set in GTK+ and the user can hide it shrinking the \"top\"\r\n # window...\r\n\r\n top.GetSizer().SetSizeHints(top)\r\n\r\n\r\n # we shouldn't attempt to resize a maximized window, whatever happens\r\n if not top.IsMaximized():\r\n \r\n if self.IsCollapsed():\r\n # expanded . collapsed transition\r\n if top.GetSizer():\r\n # we have just set the size hints...\r\n sz = top.GetSizer().CalcMin()\r\n\r\n # use SetClientSize() and not SetSize() otherwise the size for\r\n # e.g. a wxFrame with a menubar wouldn't be correctly set\r\n top.SetClientSize(sz)\r\n \r\n else:\r\n \r\n top.Layout()\r\n \r\n else:\r\n \r\n # collapsed . expanded transition\r\n\r\n # force our parent to \"fit\", i.e. expand so that it can honour\r\n # our minimal size\r\n top.Fit()","def _minimum_size_changed(self):\n self.update_minimum_size()","def resize(self, *args):\n return _ida_hexrays.lvar_saved_infos_t_resize(self, *args)","def resize(self, flavor):\n # We need the flavorRef, not the flavor or size.\n flavorRef = self.manager.api._get_flavor_ref(flavor)\n body = {\"flavorRef\": flavorRef}\n self.manager.action(self, \"resize\", body=body)"],"string":"[\n \"def handleResize(self):\\n pass\",\n \"def resizeEvent(self, event):\\n self.resized.emit()\\n return super(PiWndow, self).resizeEvent(event)\",\n \"def resize(self):\\n pass\",\n \"def on_resize(self, width, height):\\n self.gamestatemanager.peek().on_resize(width, height)\",\n \"def OnResize(self, event):\\n self._resizing = True\\n self._resize_timer.Start(60, True)\",\n \"def resize(self):\\r\\n Win.resize(self)\\r\\n self.write(\\\"### console has been resized\\\")\",\n \"def ev_windowresized(self, event: WindowResized) -> None:\",\n \"def __window_resizeTo(self, iWidth, iHeight):\\n pass\",\n \"def resizeEvent(self, event):\\n super().resizeEvent(event)\\n self.resized.emit()\",\n \"def resize(self):\\r\\n del self.win\\r\\n self.__create_win()\",\n \"def on_parent_resize(self, event):\\n #self.resize()\\n #self.resize_scaled(drag_rootx=self.resize_frame.winfo_rootx())\\n self.resize_scaled(current=MathStat.lerp(0,\\n self.prop_frame.winfo_width(), self.last_right_bias))\",\n \"def resizeEvent(self, event):\\n self.updateViewer()\",\n \"def ev_windowsizechanged(self, event: WindowResized) -> None:\",\n \"def resize(self, old, new):\",\n \"def resizeEvent(self, event):\\n self.autosize()\\n super().resizeEvent(event)\",\n \"def signal_handler(self,sig,data):\\n self.resize_child_window()\",\n \"def OnSize(self, event):\\r\\n\\r\\n if self._owner_mgr and self._send_size:\\r\\n self._owner_mgr.OnFloatingPaneResized(self._pane_window, event.GetSize())\",\n \"def resize(self, event=None):\\n #self.render()\\n self.__resize_background(event)\\n #self.__delete_background()\\n #self.__create_background(self._imfname)\\n for sym in self.itersymbols():\\n sym.sym.resize(event)\",\n \"def OnResizeEnd(self, event):\\n self._resizing = False\\n self.Refresh()\",\n \"def resizeEvent(self, event):\\r\\n QDialog.resizeEvent(self, event)\\r\\n self.emit(SIGNAL(\\\"size_change(QSize)\\\"), self.size())\",\n \"def ev_windowresized(self, event: tcod.event.WindowResized) -> T | None:\",\n \"def OnMotion_Resize(self, event):\\r\\n\\r\\n if AuiManager_HasLiveResize(self):\\r\\n if self._currentDragItem != -1:\\r\\n self._action_part = self._uiparts[self._currentDragItem]\\r\\n else:\\r\\n self._currentDragItem = self._uiparts.index(self._action_part)\\r\\n\\r\\n if self._frame.HasCapture():\\r\\n self._frame.ReleaseMouse()\\r\\n \\r\\n self.DoEndResizeAction(event)\\r\\n self._frame.CaptureMouse()\\r\\n return\\r\\n\\r\\n if not self._action_part or not self._action_part.dock or not self._action_part.orientation:\\r\\n return\\r\\n\\r\\n clientPt = event.GetPosition()\\r\\n screenPt = self._frame.ClientToScreen(clientPt)\\r\\n \\r\\n dock = self._action_part.dock\\r\\n pos = self._action_part.rect.GetPosition()\\r\\n\\r\\n if self._action_part.type == AuiDockUIPart.typeDockSizer:\\r\\n minPix, maxPix = self.CalculateDockSizerLimits(dock)\\r\\n else:\\r\\n if not self._action_part.pane:\\r\\n return\\r\\n \\r\\n pane = self._action_part.pane\\r\\n minPix, maxPix = self.CalculatePaneSizerLimits(dock, pane)\\r\\n\\r\\n if self._action_part.orientation == wx.HORIZONTAL:\\r\\n pos.y = Clip(clientPt.y - self._action_offset.y, minPix, maxPix)\\r\\n else:\\r\\n pos.x = Clip(clientPt.x - self._action_offset.x, minPix, maxPix)\\r\\n\\r\\n hintrect = wx.RectPS(self._frame.ClientToScreen(pos), self._action_part.rect.GetSize())\\r\\n\\r\\n if hintrect != self._action_rect:\\r\\n \\r\\n if wx.Platform == \\\"__WXMAC__\\\":\\r\\n dc = wx.ClientDC(self._frame)\\r\\n else:\\r\\n dc = wx.ScreenDC()\\r\\n\\r\\n DrawResizeHint(dc, self._action_rect)\\r\\n DrawResizeHint(dc, hintrect)\\r\\n self._action_rect = wx.Rect(*hintrect)\",\n \"def ev_windowsizechanged(self, event: tcod.event.WindowResized) -> T | None:\",\n \"def resize(self):\\n h, w = self.win.getmaxyx()\\n self.maxh, self.maxw = h, w\\n if w == 0 or h == 2:\\n return\\n self.win.resize(h, w)\\n self.lpane.do_resize(h, w)\\n self.rpane.do_resize(h, w)\\n self.statusbar.resize(h, w)\\n self.tabbar.resize(1,w)\\n self.regenerate()\\n self.display()\",\n \"def __onResize(self, ev):\\n ev.Skip()\\n self.__calcCanvasSizes()\",\n \"def _resize_image(self, event):\\n self.window_width = event.width\\n self.window_height = event.height\",\n \"def on_resize(self, _: int = 0) -> None:\\n assert CursesMenu.stdscr is not None\\n screen_rows, screen_cols = CursesMenu.stdscr.getmaxyx()\\n curses.resizeterm(screen_rows, screen_cols)\\n self.draw()\",\n \"def onSize(self,event=None):\\n if self.app.DEBUG:\\n print 'Event: Parent: %s.onSize'%self.__class__\\n if self.redraw:self.redraw()\",\n \"def _set_size(self):\\n if self.width_key is not None:\\n width = config.get(self.width_key)\\n height = config.get(self.height_key)\\n self.window.resize(width, height)\",\n \"def Pane_Resized( self, new_sizes ):\\r\\n if(new_sizes[0] > 200 ):\\r\\n cb.xtotal = new_sizes[0]-100\\r\\n self.canvas_one.config(width = new_sizes[0])\\r\\n self.canvas_scale.config(width = new_sizes[0])\\r\\n else:\\r\\n cb.xtotal = 200-100\\r\\n self.canvas_one.config(width = 200)\\r\\n self.canvas_scale.config(width = 200)\\r\\n if (len(new_sizes) > 1 ):\\r\\n self.canvas_two.config(width=new_sizes[1])\\r\\n self.system.Draw()\",\n \"def _changed_size(self, **kw):\\n\\t\\tself._clear_matrix()\\n\\t\\t\\n\\t\\tself._recalc_adjustments()\\n\\t\\t\\n\\t\\tif self.flags() & gtk.REALIZED:\\n\\t\\t\\tif kw.get('resize', True): self.queue_resize()\\n\\t\\t\\tif kw.get('draw', True): self.queue_draw()\",\n \"def OnSize(self, event):\\r\\n\\r\\n self.Layout()\",\n \"def resize(self, width: int, height: int):\\n pass\",\n \"def test_resize_up_confirm(self):\\n server_id = self._create_server(flavor=self.flavor.id).id\\n # get the starting quota now that we've created a server\\n starting_usage = self._get_absolute_limits()\\n # now resize up\\n alternate_flavor = self._pick_alternate_flavor()\\n self.nova('resize',\\n params='%s %s --poll' % (server_id, alternate_flavor))\\n resize_usage = self._get_absolute_limits()\\n # compare the starting usage against the resize usage\\n self._compare_quota_usage(starting_usage, resize_usage)\\n # now confirm the resize\\n self.nova('resize-confirm', params='%s' % server_id)\\n # we have to wait for the server to be ACTIVE before we can check quota\\n self._wait_for_state_change(server_id, 'active')\\n # get the final quota usage which should be the same as the resize\\n # usage before confirm\\n confirm_usage = self._get_absolute_limits()\\n self._compare_quota_usage(\\n resize_usage, confirm_usage, expect_diff=False)\",\n \"def resize(self, width, height):\\n geo = self.geometry\\n # Start of menu.\\n self.menu_start = self.window.width - (geo.menu_width +\\\\\\n geo.horizontal_margin + geo.scroll_bar_width)\\n # Update vertical span of the window.\\n self.current_view_span = height - self.status_bar.height\\n # Call the resize method of all objects in the current window.\\n for object in self.object_list:\\n object.resize(width, height)\\n # Just one call to the adaptive plot height is needed. Therefore the\\n # calls need to be here.\\n if self.waveforms:\\n self.utils.adaptPlotHeight()\",\n \"def __window_resizeBy(self, xDelta, yDelta):\\n pass\",\n \"def on_resize_parent(self,event):\\n #print(\\\"parent event size=\\\"+str(event.width)+\\\" X \\\"+str(event.height))\\n self.canvas_width = event.width\\n self.canvas_height = event.height\\n self.canvas.get_tk_widget().config(width=self.canvas_width, height=self.canvas_height)\\n self.show_image()\",\n \"def body_resize(self):\",\n \"def resize(self, size):\\n self.widget.resize(*size)\",\n \"def resize(self, width, height):\\n if self.example:\\n self.example.resize(width, height)\",\n \"def __ev_resize(self, event):\\n\\n new_size = event.dict['size']\\n surface_size = self.__screen.get_size()\\n old_center = self.__screen.get_rect().center\\n if new_size != surface_size:\\n self.__screen = pygame.display.set_mode(new_size,\\n self.__screen.get_flags(),\\n self.__screen.get_bitsize())\\n self.init(offset=vect_diff(self.__screen.get_rect().center,\\n old_center))\\n self.__screen_width, self.__screen_height = self.__screen.get_size()\",\n \"def resize(self):\\n\\t\\tself.win.erase()\\n\\t\\tfor c in self.components:\\n\\t\\t\\tc.resize()\\n\\t\\tself.draw(True)\",\n \"def OnSize(self, event):\\r\\n \\r\\n self.UpdateHintWindowSize()\\r\\n event.Skip()\",\n \"def resize_child_window(self):\\n s = struct.pack('HHHH', 0, 0, 0, 0)\\n x = fcntl.ioctl(0,termios.TIOCGWINSZ,s)\\n fcntl.ioctl(self.child_fd,termios.TIOCSWINSZ,x)\",\n \"def notifyResized(self, function, **kwargs):\\n self._sig_resized.subscribe(function, **kwargs)\",\n \"def resize(self, rows, cols, minecount, event=None):\\n self.clearFrame()\\n #reset relevant instance variables\\n self.rows = rows\\n self.cols = cols\\n self.numMines = minecount\\n self.numChecked = 0\\n self.numFlags = 0\\n self.minesArmed = False\\n self.startTime = None\\n\\n #re-add all elements on the board\\n self.setUpFrame()\\n self.addTiles(rows,cols,minecount)\\n\\n #resize window to fit the new board size\\n windowWidth = str(20*cols+40)\\n windowHeight = str(20*rows+60)\\n self.parent.minsize(windowWidth, windowHeight)\\n self.parent.maxsize(windowWidth, windowHeight)\\n self.parent.geometry(windowWidth+'x'+windowHeight)\",\n \"def resizeEvent(self, event):\\n event.accept()\\n self.overlay.resize(event.size())\\n # Move gif to the center of the widget\\n self.overlay.move(self.rect().center() - self.overlay.rect().center())\",\n \"def resize(self, *args):\\n return _ida_hexrays.hexwarns_t_resize(self, *args)\",\n \"def resize(self, width, height):\\n\\n\\t\\tself._window.resize(width, height)\",\n \"def on_resize_parentx(self,event):\\n ##print(\\\"parent event size=\\\"+str(event.width)+\\\" X \\\"+str(event.height))\\n self.canvas_width = event.width\\n self.canvas.get_tk_widget().config(width=self.canvas_width)\\n self.show_image()\",\n \"def update_resize(self, viewer, dims):\\n self.recalc(viewer)\",\n \"def resizeEvent(self, *args, **kwargs):\\n self.windowMoved.emit()\",\n \"def setwinsize(self, rows, cols):\",\n \"def UpdateSizing(self):\\n def closure(pane):\\n pane.MinSize(self.GetBestSize())\\n self._PaneInfoOperation(closure)\",\n \"def resizeEvent(self, event):\\n self.refresh_images(resize=True)\\n QMainWindow.resizeEvent(self, event)\",\n \"def OnSize(self,event):\\r\\n\\t\\t\\r\\n self.SetupView()\\r\\n event.Skip()\",\n \"def on_resize(event):\\n gloo.set_viewport(0, 0, *event.physical_size)\",\n \"def notifyResize(self, function, **kwargs):\\n self._sig_resize.subscribe(function, **kwargs)\",\n \"def Resizable(self, resizable=True):\\r\\n \\r\\n return self.SetFlag(self.optionResizable, resizable)\",\n \"def resizeEvent(self, event):\\n\\n self.settings.setValue(\\\"geometry\\\", self.saveGeometry())\\n\\n super().resizeEvent(event)\",\n \"def OnOkButton(self,event):\\n debug.debug_info(\\\"avatarSizeDialog.OnOkButton()\\\")\\n size = self.sizeSlider.GetValue()\\n\\n # generate the avatars of the neighbors with the size value\\n self.resizeAvatars(size)\\n\\n # save the new value in the conf file\\n configuration.writeConfParameterValue(\\\"avatarSize\\\", size)\\n\\n # close the dialog box\\n self.Close(FALSE)\",\n \"def partVirtualHelixResizedSlot(self, sender, coord):\\n vh = self._virtualHelixHash[coord]\\n vh.resize()\",\n \"def resize(self, instance, flavor):\\n return instance.resize(flavor)\",\n \"def resizeEvent(self, event: 'QResizeEvent'):\\n newSize = event.size()\\n # self.setMask(QRegion(self.rect()))\\n\\n if self._movedToCenter < 3: # 2 size adjustments are done before self reaches its final assigned size.\\n self.move(self.screenSize.width() / 2 - newSize.width() / 2,\\n self.screenSize.height() / 2 - newSize.height() / 2)\\n self._movedToCenter += 1\",\n \"def resizeEvent(self, event):\\n self.image_canvas.fit_in_view()\",\n \"def check_resize(self):\\n yx = self.screen.getmaxyx()\\n if self.current_yx != yx:\\n self.current_yx = yx\\n self.resize(yx)\",\n \"def on_resize(self, width, height):\\n\\t\\tglViewport(0, 0, width, height)\\n\\t\\tglMatrixMode(GL_PROJECTION)\\n\\t\\tglLoadIdentity()\\n\\t\\tgluPerspective(70., width / float(height), .1, 1000.)\\n\\t\\tglMatrixMode(GL_MODELVIEW)\\n\\t\\treturn pyglet.event.EVENT_HANDLED\",\n \"def autoResize(self):\\n\\t\\t#self.infoLabelBox.set_size_request(1,1)\\n\\t\\timgSize = [self.currentPixbuf.get_width() * self.scaleFactor, self.currentPixbuf.get_height() * self.scaleFactor]\\n\\t\\timgSize = map(lambda x: max(int(x), 1), imgSize)\\n\\t\\tif not self.fullscreenToggle:\\n\\t\\t\\tself.resize(imgSize[0], imgSize[1])\\n\\t\\t\\tposition = ( int(0.5 * (self.get_screen().get_width() - imgSize[0])),\\n\\t\\t\\t\\tint(0.5 * (self.get_screen().get_height() - imgSize[1])))\\n\\t\\t\\tself.move(position[0], position[1])\\n\\t\\t\\tself.fixed.move(self.imgDisplay, 0, 0)\\n\\t\\t\\tif not self.hideTransparent and self.imgTrans.bgOn:\\n\\t\\t\\t\\tself.imgTrans.set_size_request(imgSize[0], imgSize[1])\\n\\t\\t\\t# make eventbox the same size as image\\n\\t\\t\\t# this will not be correct when infoLabelBox is visible\\n\\t\\t\\tself.eventBox.set_size_request(imgSize[0], imgSize[1])\\n\\t\\telse:\\n\\t\\t\\tself.fixed.move(self.imgDisplay, max(0, int((self.get_size()[0] - imgSize[0]) / 2)),\\n\\t\\t\\t\\tmax(0, int((self.get_size()[1] - imgSize[1]) / 2)))\\n\\t\\t\\tif not self.hideTransparent and self.imgTrans.bgOn:\\n\\t\\t\\t\\tself.imgTrans.set_size_request(int(self.get_size()[0]), int(self.get_size()[1]))\\n\\t\\t\\t# make eventbox the same size as screen\\n\\t\\t\\tself.eventBox.set_size_request(self.get_size()[0],self.get_size()[1])\",\n \"def resize(self, *args):\\n if self.parent is None: # when deleted\\n return\\n if self.parent.render_window is None: # BasePlotter\\n return\\n\\n if self._prior_window_size != self.parent.window_size:\\n self._prior_window_size = self.parent.window_size\\n\\n actor = self._actors['background']\\n image_data = actor.GetInput()\\n origin = image_data.GetOrigin()\\n extent = image_data.GetExtent()\\n spacing = image_data.GetSpacing()\\n xc = origin[0] + 0.5 * (extent[0] + extent[1]) * spacing[0]\\n yc = origin[1] + 0.5 * (extent[2] + extent[3]) * spacing[1]\\n yd = (extent[3] - extent[2] + 1) * spacing[1]\\n dist = self.camera.distance\\n\\n # make the longest dimensions match the plotting window\\n img_dim = np.array(image_data.dimensions[:2])\\n self.camera.focus = np.array([xc, yc, 0.0])\\n self.camera.position = np.array([xc, yc, dist])\\n\\n ratio = img_dim / np.array(self.parent.window_size)\\n scale_value = 1\\n if ratio.max() > 1:\\n # images are not scaled if larger than the window\\n scale_value = ratio.max()\\n\\n if self._scale is not None:\\n scale_value /= self._scale\\n\\n self.camera.parallel_scale = 0.5 * yd / self._scale\",\n \"def resizeEvent(self, event):\\n size = self.size()\\n size = QSize(int(size.width()),int(size.height()))\\n\\n scaledPix = self.pixmap.scaled(size, Qt.KeepAspectRatio, transformMode = Qt.FastTransformation )\\n self.setPixmap(scaledPix)\",\n \"def resizePreview(self):\\n ratio = float(self.qIma.width()) / float(self.qIma.height())\\n if self.qIma.width() > self.qIma.height():\\n width = 300\\n height = int(float(width) / ratio)\\n else:\\n height = 170\\n width = int(float(height) / ratio)\\n if 'prodManager' in os.path.basename(self._ima):\\n width = 300\\n height = 170\\n self.lPreview.setMinimumSize(width, height)\\n self.lPreview.setMaximumSize(width, height)\",\n \"def onSize(self, event): \\n\\t\\tw, h = self.GetClientSizeTuple()\\n\\t\\tself.tree.SetDimensions(0, 0, w, h)\",\n \"def resize_display(self, (w, h)):\\n self.surface = pygame.display.set_mode((w, h), pygame.RESIZABLE)\",\n \"def resize_x(self) -> bool:\\n raise NotImplementedError\",\n \"def OnSize(self, event):\\r\\n \\r\\n skipped = False\\r\\n if isinstance(self._frame, AuiFloatingFrame) and self._frame.IsShownOnScreen():\\r\\n skipped = True\\r\\n event.Skip()\\r\\n\\r\\n if self._frame:\\r\\n \\r\\n self.DoFrameLayout()\\r\\n if wx.Platform == \\\"__WXMAC__\\\":\\r\\n self._frame.Refresh()\\r\\n else:\\r\\n self.Repaint()\\r\\n \\r\\n if isinstance(self._frame, wx.MDIParentFrame) or isinstance(self._frame, tabmdi.AuiMDIClientWindow) \\\\\\r\\n or isinstance(self._frame, tabmdi.AuiMDIParentFrame):\\r\\n # for MDI parent frames, this event must not\\r\\n # be \\\"skipped\\\". In other words, the parent frame\\r\\n # must not be allowed to resize the client window\\r\\n # after we are finished processing sizing changes\\r\\n return\\r\\n\\r\\n if not skipped:\\r\\n event.Skip()\\r\\n\\r\\n # For the snap to screen...\\r\\n self.OnMove(None)\",\n \"def OnFloatingPaneResized(self, wnd, size):\\r\\n\\r\\n # try to find the pane\\r\\n pane = self.GetPane(wnd)\\r\\n if not pane.IsOk():\\r\\n raise Exception(\\\"Pane window not found\\\")\\r\\n\\r\\n if pane.frame:\\r\\n indx = self._panes.index(pane)\\r\\n pane.floating_pos = pane.frame.GetPosition()\\r\\n pane.floating_size = size\\r\\n self._panes[indx] = pane\\r\\n if pane.IsSnappable():\\r\\n self.SnapPane(pane, pane.floating_pos, pane.floating_size, True)\",\n \"def resize(self, rows, cols, mines):\\n if self.menuVar.get() != 4: self.checkVar.set(0)\\n self.myBoard.resize(rows, cols, mines)\",\n \"def send_size_event() -> None:\\n terminal_size = self._get_terminal_size()\\n width, height = terminal_size\\n textual_size = Size(width, height)\\n event = events.Resize(textual_size, textual_size)\\n asyncio.run_coroutine_threadsafe(\\n self._app._post_message(event),\\n loop=loop,\\n )\",\n \"def set_size(self, w, h):\\n\\t\\tpass\",\n \"def resize(self,event):\\n if event.widget==self.master:\\n Y=event.height\\n X=event.width\\n self.seqframe.configure(width=X-self.canvas_border_x,\\n height=Y-self.canvas_border_y)\\n return\",\n \"def resizeEvent(self, event):\\n dim = event.size()\\n self.height1 = dim.height()\\n self.width1 = dim.width()\\n hscale = self.height1 / 600\\n wscale = self.width1 / 800\\n tmpy = 10\\n tmpx = self.width1 - 160\\n self.helpBttn.setGeometry(tmpx, tmpy, 150, 50)\\n tmpwidth = self.width1 - 20\\n self.titleLbl.setGeometry(10, 20, tmpwidth, 60)\\n tmpy = 70 * hscale\\n tmpx = (self.width1 / 2) - 80\\n self.shortCheck.setGeometry(tmpx, tmpy, 160, 25)\\n tmpy = 110 * hscale\\n tmpx = (self.width1 - 700) / 2\\n self.rumascLbl.setGeometry(tmpx, tmpy, 330, 25)\\n tmpx = ((self.width1 / 2) + 20) \\n self.rufemLbl.setGeometry(tmpx, tmpy, 330, 25)\\n tmpy = 140 * hscale\\n tmpx = (self.width1 - 700) / 2\\n self.rumascEdit.setGeometry(tmpx, tmpy, 330, 30)\\n tmpx = ((self.width1 / 2) + 20) \\n self.rufemEdit.setGeometry(tmpx, tmpy, 330, 30)\\n tmpy = 210 * hscale\\n tmpx = (self.width1 - 700) / 2\\n self.runuetLbl.setGeometry(tmpx, tmpy, 330, 25)\\n tmpx = ((self.width1 / 2) + 20)\\n self.ruplurLbl.setGeometry(tmpx, tmpy, 330, 25)\\n tmpy = 240 * hscale\\n tmpx = (self.width1 - 700) / 2\\n self.runuetEdit.setGeometry(tmpx, tmpy, 330, 30)\\n tmpx = ((self.width1 / 2) + 20)\\n self.ruplurEdit.setGeometry(tmpx, tmpy, 330, 30)\\n tmpx = (self.width1 - 330) / 2\\n tmpy = 300 * hscale\\n self.stemLbl.setGeometry(tmpx, tmpy, 330, 25)\\n tmpy = 330 * hscale\\n self.stemEdit.setGeometry(tmpx, tmpy, 330, 25)\\n tmpy = 390 * hscale\\n self.engLbl.setGeometry(tmpx, tmpy, 330, 25)\\n tmpy = 420 * hscale\\n self.enEdit.setGeometry(tmpx, tmpy, 330, 25)\\n tmpx = ((self.width1 - 540) / 2)\\n tmpy = self.height1 - 80\\n self.quitBttn.setGeometry(tmpx, tmpy, 150, 50)\\n tmpx = (self.width1 / 2) - 75\\n self.backBttn.setGeometry(tmpx, tmpy, 150, 50)\\n tmpx = (self.width1 / 2) + 120\\n self.acceptBttn.setGeometry(tmpx, tmpy, 150, 50)\\n tmpos = self.pos()\\n self.winx = tmpos.x()\\n self.winy = tmpos.y()\\n self.geometry = list([self.winx, self.winy, self.width1, self.height1])\",\n \"def resizeEvent(self, event):\\n if ((event.oldSize().height() == 0 and event.size().height()) or\\n (event.oldSize().width() == 0 and event.size().width())):\\n self.updateContents()\\n return super().resizeEvent(event)\",\n \"def resizable(self, resizablelargura, resizablealtura):\\n\\n try:\\n # FUNÇÃO DEFINIDA PARA CONTROLAR O REDIMENSIONAMENTO\\n self.root.resizable(resizablelargura, resizablealtura)\\n except Exception as ex:\\n print(ex)\",\n \"def resize(self, auto_layout = False, **kwds):\\n\\t\\told_auto_layout = self.auto_layout\\n\\t\\ttry:\\n\\t\\t\\tself.auto_layout = auto_layout\\n\\t\\t\\tself.set(**kwds)\\n\\t\\tfinally:\\n\\t\\t\\tself.auto_layout = old_auto_layout\",\n \"def size_with_window(self, size_with_window):\\n\\n self.container['size_with_window'] = size_with_window\",\n \"def resize(self, size):\\n self.instance.resize_volume(size)\\n self.size = size\",\n \"def OnSize(self, event):\\r\\n size = self.GetClientSizeTuple()\\r\\n self.gList.SetSize(size)\",\n \"def on_user_resize(self, event):\\n self.resize_scaled(drag_rootx=event.x_root + self._mouse_drag_offset)\",\n \"def change_size(self, width, height):\\n oldw = float(self.size().width())\\n oldh = float(self.size().height())\\n\\n if self.indicator_type == 'session':\\n neww = int(oldw + oldw * (width / 100.0))\\n if neww > 0:\\n self.setFixedSize(neww, oldh)\\n elif self.indicator_type == 'unit':\\n newh = int(oldh + oldh * (height / 100.0))\\n if newh > 0:\\n self.setFixedSize(oldw, newh)\\n\\n self.set_font_size()\",\n \"def on_resize(self, *args):\\n\\n self.page_current.width = terminal.width # Give page new terminal width\\n self.render_buffer = []\\n\\n self.render() # Re-render buffer\",\n \"def OnSize(self, event):\\r\\n\\r\\n if self._blindMode or not self.CanSetTransparent():\\r\\n self.MakeVenetianBlinds()\",\n \"def getwinsize(self):\",\n \"def container_resized(self, delta):\\n\\t\\tdw, dh = delta\\n\\t\\tleft, top, right, bottom = self.bounds\\n\\t\\tif self.hmove:\\n\\t\\t\\tleft += dw\\n\\t\\t\\tright += dw\\n\\t\\telif self.hstretch:\\n\\t\\t\\tright += dw\\n\\t\\tif self.vmove:\\n\\t\\t\\ttop += dh\\n\\t\\t\\tbottom += dh\\n\\t\\telif self.vstretch:\\n\\t\\t\\tbottom += dh\\n\\t\\tself.bounds = (left, top, right, bottom)\",\n \"def resize(clip, size=None):\\n if size is None:\\n return clip.fx(vfx.resize, height=720)\\n return clip.fx(vfx.resize, size)\",\n \"def on_canvas_resize(self, event) -> None:\\r\\n\\r\\n self.painter.adjust_to_canvas()\\r\\n self.painter.draw_board()\",\n \"def DoEndResizeAction(self, event):\\r\\n\\r\\n clientPt = event.GetPosition()\\r\\n screenPt = self._frame.ClientToScreen(clientPt)\\r\\n\\r\\n return self.RestrictResize(clientPt, screenPt, createDC=False)\",\n \"def OnStateChange(self, sz):\\r\\n\\r\\n # minimal size has priority over the best size so set here our min size\\r\\n self.SetMinSize(sz)\\r\\n self.SetSize(sz)\\r\\n\\r\\n if self.HasFlag(wx.CP_NO_TLW_RESIZE):\\r\\n # the user asked to explicitely handle the resizing itself...\\r\\n return\\r\\n \\r\\n # NB: the following block of code has been accurately designed to\\r\\n # as much flicker-free as possible be careful when modifying it!\\r\\n\\r\\n top = wx.GetTopLevelParent(self)\\r\\n if top:\\r\\n # NB: don't Layout() the 'top' window as its size has not been correctly\\r\\n # updated yet and we don't want to do an initial Layout() with the old\\r\\n # size immediately followed by a SetClientSize/Fit call for the new\\r\\n # size that would provoke flickering!\\r\\n\\r\\n if top.GetSizer():\\r\\n if (wx.Platform == \\\"__WXGTK__\\\" and self.IsCollapsed()) or wx.Platform != \\\"__WXGTK__\\\":\\r\\n # FIXME: the SetSizeHints() call would be required also for GTK+ for\\r\\n # the expanded.collapsed transition. Unfortunately if we\\r\\n # enable this line, then the GTK+ top window won't always be\\r\\n # resized by the SetClientSize() call below! As a side effect\\r\\n # of this dirty fix, the minimal size for the pane window is\\r\\n # not set in GTK+ and the user can hide it shrinking the \\\"top\\\"\\r\\n # window...\\r\\n\\r\\n top.GetSizer().SetSizeHints(top)\\r\\n\\r\\n\\r\\n # we shouldn't attempt to resize a maximized window, whatever happens\\r\\n if not top.IsMaximized():\\r\\n \\r\\n if self.IsCollapsed():\\r\\n # expanded . collapsed transition\\r\\n if top.GetSizer():\\r\\n # we have just set the size hints...\\r\\n sz = top.GetSizer().CalcMin()\\r\\n\\r\\n # use SetClientSize() and not SetSize() otherwise the size for\\r\\n # e.g. a wxFrame with a menubar wouldn't be correctly set\\r\\n top.SetClientSize(sz)\\r\\n \\r\\n else:\\r\\n \\r\\n top.Layout()\\r\\n \\r\\n else:\\r\\n \\r\\n # collapsed . expanded transition\\r\\n\\r\\n # force our parent to \\\"fit\\\", i.e. expand so that it can honour\\r\\n # our minimal size\\r\\n top.Fit()\",\n \"def _minimum_size_changed(self):\\n self.update_minimum_size()\",\n \"def resize(self, *args):\\n return _ida_hexrays.lvar_saved_infos_t_resize(self, *args)\",\n \"def resize(self, flavor):\\n # We need the flavorRef, not the flavor or size.\\n flavorRef = self.manager.api._get_flavor_ref(flavor)\\n body = {\\\"flavorRef\\\": flavorRef}\\n self.manager.action(self, \\\"resize\\\", body=body)\"\n]","isConversational":false},"negative_scores":{"kind":"list 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\"0.7517562\",\n \"0.7246645\",\n \"0.7122518\",\n \"0.70567065\",\n \"0.69365686\",\n \"0.69342285\",\n \"0.68687326\",\n \"0.68354404\",\n \"0.6823279\",\n \"0.68086725\",\n \"0.6766548\",\n \"0.6746385\",\n \"0.67006433\",\n \"0.6691146\",\n \"0.66373914\",\n \"0.6559301\",\n \"0.65417355\",\n \"0.65392864\",\n \"0.653689\",\n \"0.6516252\",\n \"0.6497654\",\n \"0.6463491\",\n \"0.64528275\",\n \"0.64088964\",\n \"0.6370546\",\n \"0.6346198\",\n \"0.6340919\",\n \"0.63318276\",\n \"0.6321842\",\n \"0.62928224\",\n \"0.62850744\",\n \"0.62634224\",\n \"0.62572587\",\n \"0.6253721\",\n \"0.62420744\",\n \"0.62347436\",\n \"0.62314904\",\n \"0.6218162\",\n \"0.6202246\",\n \"0.6200144\",\n \"0.6192976\",\n \"0.6189925\",\n \"0.61703306\",\n \"0.6157822\",\n \"0.6142182\",\n \"0.61359155\",\n \"0.6134177\",\n \"0.6127041\",\n \"0.60875094\",\n \"0.6083543\",\n \"0.60779923\",\n \"0.6053503\",\n \"0.6044885\",\n \"0.604462\",\n \"0.6043437\",\n \"0.6033036\",\n \"0.6032451\",\n \"0.6026566\",\n \"0.6009269\",\n \"0.6008595\",\n \"0.5995567\",\n \"0.5976621\",\n \"0.5949483\",\n \"0.5927463\",\n \"0.5924608\",\n \"0.59159064\",\n \"0.5909419\",\n \"0.59036744\",\n \"0.590236\",\n \"0.5894073\",\n \"0.5891737\",\n \"0.5886618\",\n \"0.58863795\",\n \"0.5882949\",\n \"0.58799505\",\n \"0.585536\",\n \"0.58516484\",\n \"0.5848966\",\n \"0.5843215\",\n \"0.5841253\",\n \"0.5838349\",\n \"0.58380246\",\n \"0.5835745\",\n \"0.5817472\",\n \"0.580409\",\n \"0.5794104\",\n \"0.5784762\",\n \"0.57683706\",\n \"0.57682407\",\n \"0.5767146\",\n \"0.5765823\",\n \"0.5751985\",\n \"0.5745485\",\n \"0.57453007\",\n \"0.57417125\",\n \"0.5734987\",\n \"0.57115096\",\n \"0.57006335\",\n \"0.57003623\",\n \"0.5694243\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.6128036"},"document_rank":{"kind":"string","value":"47"}}},{"rowIdx":20480,"cells":{"query":{"kind":"string","value":"Resize revert an instance"},"document":{"kind":"string","value":"def nfvi_resize_revert_instance(instance_uuid, callback, context=None):\n cmd_id = _compute_plugin.invoke_plugin('resize_revert_instance',\n instance_uuid, context,\n callback=callback)\n return cmd_id"},"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(self, old, new):","def resize(self):\r\n del self.win\r\n self.__create_win()","def resize(self):\n pass","def on_parent_resize(self, event):\n #self.resize()\n #self.resize_scaled(drag_rootx=self.resize_frame.winfo_rootx())\n self.resize_scaled(current=MathStat.lerp(0,\n self.prop_frame.winfo_width(), self.last_right_bias))","def flip(self):\n self.width, self.height = self.height, self.width","def revive_ss(self):\n klass = type(self)\n\n klass.screenshot = klass.screenshot_bak","def handleResize(self):\n pass","def resize(self, instance, flavor):\n return instance.resize(flavor)","def OnResizeEnd(self, event):\n self._resizing = False\n self.Refresh()","def resize(self, *args):\n return _ida_hexrays.hexwarns_t_resize(self, *args)","def rescale_image(self, height: int, width: int, make_copy: bool = True):\n if make_copy:\n obj = copy.deepcopy(self)\n else:\n obj = self\n\n if obj.bgr is not None:\n obj.bgr = cv2.resize(obj.bgr, (width, height))\n if obj._hsv is not None:\n obj._hsv = cv2.resize(obj._hsv, (width, height))\n if obj.borders is not None:\n obj.borders = cv2.resize(obj.borders, (width, height))\n return obj if make_copy else None","def restore(self) -> 'BaseImage':\n self._surface = self._original_surface.copy()\n return self","def _shrink(self):\n raise NotImplementedError(\"Should have implemented this.\")","def resize(self, event=None):\n #self.render()\n self.__resize_background(event)\n #self.__delete_background()\n #self.__create_background(self._imfname)\n for sym in self.itersymbols():\n sym.sym.resize(event)","def test_resize_down_revert(self):\n # devstack's m1.tiny and m1.small have different size disks so we\n # can't use those as you can't resize down the disk. So we have to\n # create our own flavors.\n larger_flavor, smaller_flavor = self._create_resize_down_flavors()\n # Now create the server with the larger flavor.\n server_id = self._create_server(flavor=larger_flavor).id\n # get the starting quota now that we've created a server\n starting_usage = self._get_absolute_limits()\n # now resize down\n self.nova('resize',\n params='%s %s --poll' % (server_id, smaller_flavor))\n resize_usage = self._get_absolute_limits()\n # compare the starting usage against the resize usage; with counting\n # quotas in the server there are no reservations, so the\n # usage changes after the resize happens before it's confirmed.\n self._compare_quota_usage(starting_usage, resize_usage)\n # now revert the resize\n self.nova('resize-revert', params='%s' % server_id)\n # we have to wait for the server to be ACTIVE before we can check quota\n self._wait_for_state_change(server_id, 'active')\n # get the final quota usage which will be different from the resize\n # usage since we've reverted back *up* to the original flavor; the API\n # code checks quota again if we revert up in size\n revert_usage = self._get_absolute_limits()\n self._compare_quota_usage(resize_usage, revert_usage)","def __editRevert(self):\n self.activeWindow().revertToUnmodified()","def resize(self, width: int, height: int):\n pass","def Resize(self):\n\n self.history_length = int( round( self.owner['time_span']/self.owner['sample_speed']))\n self.FreshStart()","def on_resize(self, width, height):\n self.label.y = height - 10\n if self.reticle:\n self.reticle.delete()\n x, y = self.width // 2, self.height // 2\n n = 10\n self.reticle = pyglet.graphics.vertex_list(4,\n ('v2i', (x - n, y, x + n, y, x, y - n, x, y + n))\n )","def resize(self):\n\t\tself.win.erase()\n\t\tfor c in self.components:\n\t\t\tc.resize()\n\t\tself.draw(True)","def rescale(self, event: tkinter.Event) -> None:\n # the properties which are linked to the event of reconfiguration\n # contain all the new sizes of the panel :\n self.width, self.height = event.width - 4, event.height - 4\n # The subtraction of 4 pixels is here to compensate the width\n # of the 'highlight bordure' rolling the canvas)\n self.draw_board()","def undo(self, outer_instance):\n pass","def relayout(self): \n\t\t#self.urmaswin.Layout()\n\t\t#wx.CallAfter(self.urmaswin.Layout)\n\t\t#wx.CallAfter(self.visualizer.OnSize)","def resize(clip, size=None):\n if size is None:\n return clip.fx(vfx.resize, height=720)\n return clip.fx(vfx.resize, size)","def revert(self, *args, **kwargs):","def __window_resizeTo(self, iWidth, iHeight):\n pass","def set_from_original(self):\n self.image = self.orig_image\n self.update_img()\n self.update_size()","def restore_backup_shape(self):\n\n self.shape = self.shape_backup","def shrink(self):\r\n # first we need to decide how to shrink\r\n choice = rand.choice([0, 1, 2, 3])\r\n # now do it\r\n if ((choice == 0) and (self.xspan > mparam.min_s_xspan)):\r\n # delete first row\r\n self.cells = np.delete(self.cells, (0), axis=0) \r\n elif ((choice == 1) and (self.xspan > mparam.min_s_xspan)):\r\n # delete last row\r\n self.cells = np.delete(self.cells, (-1), axis=0) \r\n elif ((choice == 2) and (self.yspan > mparam.min_s_yspan)):\r\n # delete first column\r\n self.cells = np.delete(self.cells, (0), axis=1) \r\n elif ((choice == 3) and (self.yspan > mparam.min_s_yspan)):\r\n # delete last column\r\n self.cells = np.delete(self.cells, (-1), axis=1) \r\n # now let's update xspan and yspan to the new size\r\n self.xspan = self.cells.shape[0]\r\n self.yspan = self.cells.shape[1]\r\n #\r","def _resize(self, cap):\n old = self._data\n self._data = [None] * cap\n walk = self._front\n for i in range(self._size):\n self._data[i] = old[walk]\n walk = (walk + 1) % len(old)\n self._front = 0","def resize(self, width, height):\n if self.example:\n self.example.resize(width, height)","def revert(self):\n original = getattr(self, \"_original\", None)\n if not original:\n return\n\n if hasattr(self, \"output\"):\n output = self.output\n keep_output = True\n else:\n keep_output = False\n\n del self._original\n\n self.__dict__ = original.__dict__\n\n if keep_output:\n self.output = output","def resize(self, *args):\n return _ida_hexrays.qvector_history_t_resize(self, *args)","def resize(self, columns, rows):\n\t\tsuper().resize(columns, rows)\n\t\tself.fill(None)\n\t\tself.create()","def main():\r\n original = SimpleImage(\"images/poppy.png\")\r\n original.show()\r\n # shrink function\r\n after_shrink = shrink('images/poppy.png')\r\n after_shrink.show()","def __ev_resize(self, event):\n\n new_size = event.dict['size']\n surface_size = self.__screen.get_size()\n old_center = self.__screen.get_rect().center\n if new_size != surface_size:\n self.__screen = pygame.display.set_mode(new_size,\n self.__screen.get_flags(),\n self.__screen.get_bitsize())\n self.init(offset=vect_diff(self.__screen.get_rect().center,\n old_center))\n self.__screen_width, self.__screen_height = self.__screen.get_size()","def resizeEvent(self, event):\n self.resized.emit()\n return super(PiWndow, self).resizeEvent(event)","def OnResize(self, event):\n self._resizing = True\n self._resize_timer.Start(60, True)","def resize(self):\n h, w = self.win.getmaxyx()\n self.maxh, self.maxw = h, w\n if w == 0 or h == 2:\n return\n self.win.resize(h, w)\n self.lpane.do_resize(h, w)\n self.rpane.do_resize(h, w)\n self.statusbar.resize(h, w)\n self.tabbar.resize(1,w)\n self.regenerate()\n self.display()","def restore(self):\n raise NotImplementedError","def backup_shape(self):\n\n self.shape_backup = np.copy(self.shape)","def flip(self, horizontally):\n\t\tself.currentPixbuf = self.currentPixbuf.flip(horizontally)\n\t\tself.scaleCache[1] = 0\n\t\tgc.collect()","def pre_revert(self):","def on_resize(self, width, height):\n self.gamestatemanager.peek().on_resize(width, height)","def rescale(self, factor):\n scaled_size = (int(self.width * factor), int(self.height * factor))\n return self.resize(scaled_size)","def resize_display(self, (w, h)):\n self.surface = pygame.display.set_mode((w, h), pygame.RESIZABLE)","def resize(self, width, height):\n\t\tself._set_image(\n\t\t\tSolidColorImagePattern(\n\t\t\t\tcolor=(self._r,self._g,self._b,self._a)\n\t\t\t).create_image(width, height)\n\t\t)","def resize(self, size: Tuple[int, int]):\n if self._immutable:\n raise ValueError(\"Immutable textures cannot be resized\")\n\n gl.glActiveTexture(gl.GL_TEXTURE0 + self._ctx.default_texture_unit)\n gl.glBindTexture(self._target, self._glo)\n\n self._width, self._height = size\n\n self._texture_2d(None)","def revert(self, ref=None):\n # TODO\n raise NotImplementedError","def on_resize(event):\n gloo.set_viewport(0, 0, *event.physical_size)","def unregisterResized(self, function):\n self._sig_resized.unsubscribe(function)","def restore(self):\n self.weight = self._backup_weight","def resize(self, height, width):\n return self.client.api.resize(self.id, height, width)","def do_relayout(self):\n # This method is called whenever a relayout is requested. By\n # default, this is when the layout children change. In that case\n # we just need to update the min and max sizes. We are a top\n # level window, so no one really cares about our size hint. \n self.update_minimum_size()\n self.update_maximum_size()","def Pane_Resized( self, new_sizes ):\r\n if(new_sizes[0] > 200 ):\r\n cb.xtotal = new_sizes[0]-100\r\n self.canvas_one.config(width = new_sizes[0])\r\n self.canvas_scale.config(width = new_sizes[0])\r\n else:\r\n cb.xtotal = 200-100\r\n self.canvas_one.config(width = 200)\r\n self.canvas_scale.config(width = 200)\r\n if (len(new_sizes) > 1 ):\r\n self.canvas_two.config(width=new_sizes[1])\r\n self.system.Draw()","def restore(self, thetime=None):\n\t\t\n\t\tif thetime == None:\n\t\t\tthetime = gtk.get_current_event_time()\n\t\tself.__window.unminimize(thetime)\n\t\tself.update_minimization()\n\t\treturn","def resize(self, size):\n self.instance.resize_volume(size)\n self.size = size","def resize(self, width, height):\n geo = self.geometry\n # Start of menu.\n self.menu_start = self.window.width - (geo.menu_width +\\\n geo.horizontal_margin + geo.scroll_bar_width)\n # Update vertical span of the window.\n self.current_view_span = height - self.status_bar.height\n # Call the resize method of all objects in the current window.\n for object in self.object_list:\n object.resize(width, height)\n # Just one call to the adaptive plot height is needed. Therefore the\n # calls need to be here.\n if self.waveforms:\n self.utils.adaptPlotHeight()","def post_revert(self):","def _flush(self):\n w, h = self.get_width_height()\n self.resize(w+1, h)\n self.resize(w, h)\n\n return","def update_resize(self, viewer, dims):\n self.recalc(viewer)","def body_resize(self):","def _shrink_main(self, amt):\n self.ratio -= amt\n self.ratio = max(self.min_ratio, self.ratio)","def Restore(self):\r\n \r\n return self.SetFlag(self.optionMaximized or self.optionMinimized, False)","def resizeEvent(self, event):\n if ((event.oldSize().height() == 0 and event.size().height()) or\n (event.oldSize().width() == 0 and event.size().width())):\n self.updateContents()\n return super().resizeEvent(event)","def revolver(self):\r\n\t\tself.__revuelto=True","def _zoomCamera(self, sizeChange):\n self.camSize -= sizeChange","def rescale(self, new_throughput):\n\t\treturn type(self)(self.item, self.recipe, new_throughput, self.per_process_outputs)","def reset(self, aspectRatio=None):\n self.currentBox = None\n self.aspectRatio = aspectRatio\n self.drawingSurface.Refresh()","def on_resize(self, _: int = 0) -> None:\n assert CursesMenu.stdscr is not None\n screen_rows, screen_cols = CursesMenu.stdscr.getmaxyx()\n curses.resizeterm(screen_rows, screen_cols)\n self.draw()","def resize(self, *args):\n return _ida_hexrays.lvar_saved_infos_t_resize(self, *args)","def partVirtualHelixResizedSlot(self, sender, coord):\n vh = self._virtualHelixHash[coord]\n vh.resize()","def resize(self):\r\n Win.resize(self)\r\n self.write(\"### console has been resized\")","def resize(self):\n e = self.e\n if abs(self.dnp) * ( self.np-self.np_req) > 0:\n e = self.er\n self.dsize = numpy.clip((self.np_req/self.np)**(1./e), 1/self.r, self.r)\n self.size *= self.dsize","def resizeEvent(self, event):\n\n self.settings.setValue(\"geometry\", self.saveGeometry())\n\n super().resizeEvent(event)","def reset_limits(self):\n self.autoscale = True\n self.pixels.autoscale()","def rescale_image(self, img_file, new_width, new_height, model_path, file_description):\n cwd = os.getcwd()\n self.new_width = new_width\n self.new_height = new_height\n self.extract_file_name(img_file)\n shutil.copy(img_file, os.path.join('utils_dfn/temp', self.file_name_with_ext))\n self.run_padding()\n self.run_dfn(model_path)\n self.restore_to_correct_size(file_description)\n clean()","def resize(self, *args):\n return _ida_hexrays.qvector_ccase_t_resize(self, *args)","def patch_resize(c, graph, node_select):\r\n return c","def _changed_size(self, **kw):\n\t\tself._clear_matrix()\n\t\t\n\t\tself._recalc_adjustments()\n\t\t\n\t\tif self.flags() & gtk.REALIZED:\n\t\t\tif kw.get('resize', True): self.queue_resize()\n\t\t\tif kw.get('draw', True): self.queue_draw()","def scale_out(self, *args, **kwargs):\n pass","def ev_windowresized(self, event: WindowResized) -> None:","def resizeEvent(self, event):\n self.updateViewer()","def container_resized(self, delta):\n\t\tdw, dh = delta\n\t\tleft, top, right, bottom = self.bounds\n\t\tif self.hmove:\n\t\t\tleft += dw\n\t\t\tright += dw\n\t\telif self.hstretch:\n\t\t\tright += dw\n\t\tif self.vmove:\n\t\t\ttop += dh\n\t\t\tbottom += dh\n\t\telif self.vstretch:\n\t\t\tbottom += dh\n\t\tself.bounds = (left, top, right, bottom)","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","def _shrink_secondary(self, amt):\n self._resize_secondary(-amt)","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 resizeEvent(self, event):\n super().resizeEvent(event)\n self.resized.emit()","def restore_hp(self):\n if self.cur_hp < self.max_hp:\n self.cur_hp += 1\n self.hp_rect.width = (self.cur_hp / self.max_hp) * self.hp_bar_width","def resizeEvent(self, event):\n self.autosize()\n super().resizeEvent(event)","def resizable(self, resizablelargura, resizablealtura):\n\n try:\n # FUNÇÃO DEFINIDA PARA CONTROLAR O REDIMENSIONAMENTO\n self.root.resizable(resizablelargura, resizablealtura)\n except Exception as ex:\n print(ex)","def resize(self, x=0, y=0, w=0, h=0):\r\n if w <= 0:\r\n w = self.max_width\r\n if h <= 0:\r\n h = self.max_height\r\n self.width = w\r\n self.height = h\r\n\r\n self.left = x\r\n self.top = y\r\n self.right = x + w\r\n self.bottom = y + h\r\n self.opengl.resize(x, y, w, h)","def resize(self, flavor):\n # We need the flavorRef, not the flavor or size.\n flavorRef = self.manager.api._get_flavor_ref(flavor)\n body = {\"flavorRef\": flavorRef}\n self.manager.action(self, \"resize\", body=body)","def restore(self):\n lib.SDL_RestoreWindow(self._ptr)","def revert(self, a):\n raise NotImplementedError","def restore_to_correct_size(self, file_description):\n file_name = os.listdir('utils_dfn/output/result')[0]\n file_name_with_ext, file_name = extract_file_name(file_name)\n new_file = os.path.join('static/rescaled_images', self.file_name + file_description + '.png')\n img = cv2.imread(os.path.join('utils_dfn/output/result', file_name_with_ext))\n if self.new_width > self.new_height:\n new_size = self.new_width\n else:\n new_size = self.new_height\n\n img = resize_image(img, new_size, new_size)\n img = crop_image(img, bottom=self.pad_to_bottom, right=self.pad_to_right)\n cv2.imwrite(new_file, img)\n self.rescaled_file_name_with_ext, _ = extract_file_name(new_file)","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 __resizeBox(self, x, y):\n # Implement the correct behavior for dragging a side\n # of the box: Only change one dimension.\n if not self.aspectRatio:\n if self.__currentCursor == wx.CURSOR_SIZENS:\n x = None\n elif self.__currentCursor == wx.CURSOR_SIZEWE:\n y = None\n\n x0,y0,w0,h0 = self.currentBox\n currentExtent = boxToExtent(self.currentBox)\n if x == None:\n if w0 < 1:\n w0 += 1\n else:\n w0 -= 1\n x = x0 + w0\n if y == None:\n if h0 < 1:\n h0 += 1\n else:\n h0 -= 1\n y = y0 + h0\n x1,y1 = x, y\n w, h = abs(x1-x0)+1, abs(y1-y0)+1\n if self.aspectRatio:\n w = max(w, int(h * self.aspectRatio))\n h = int(w / self.aspectRatio)\n w *= [1,-1][isNegative(x1-x0)]\n h *= [1,-1][isNegative(y1-y0)]\n newbox = (x0, y0, w, h)\n self.__drawAndErase(boxToDraw=normalizeBox(newbox), boxToErase=normalizeBox(self.currentBox))\n self.currentBox = (x0, y0, w, h)","def _resize_image(self, event):\n self.window_width = event.width\n self.window_height = event.height","def resize(self, new_size):\n resized_img = opencv.resize(self.img, new_size)\n return Image(resized_img)"],"string":"[\n \"def resize(self, old, new):\",\n \"def resize(self):\\r\\n del self.win\\r\\n self.__create_win()\",\n \"def resize(self):\\n pass\",\n \"def on_parent_resize(self, event):\\n #self.resize()\\n #self.resize_scaled(drag_rootx=self.resize_frame.winfo_rootx())\\n self.resize_scaled(current=MathStat.lerp(0,\\n self.prop_frame.winfo_width(), self.last_right_bias))\",\n \"def flip(self):\\n self.width, self.height = self.height, self.width\",\n \"def revive_ss(self):\\n klass = type(self)\\n\\n klass.screenshot = klass.screenshot_bak\",\n \"def handleResize(self):\\n pass\",\n \"def resize(self, instance, flavor):\\n return instance.resize(flavor)\",\n \"def OnResizeEnd(self, event):\\n self._resizing = False\\n self.Refresh()\",\n \"def resize(self, *args):\\n return _ida_hexrays.hexwarns_t_resize(self, *args)\",\n \"def rescale_image(self, height: int, width: int, make_copy: bool = True):\\n if make_copy:\\n obj = copy.deepcopy(self)\\n else:\\n obj = self\\n\\n if obj.bgr is not None:\\n obj.bgr = cv2.resize(obj.bgr, (width, height))\\n if obj._hsv is not None:\\n obj._hsv = cv2.resize(obj._hsv, (width, height))\\n if obj.borders is not None:\\n obj.borders = cv2.resize(obj.borders, (width, height))\\n return obj if make_copy else None\",\n \"def restore(self) -> 'BaseImage':\\n self._surface = self._original_surface.copy()\\n return self\",\n \"def _shrink(self):\\n raise NotImplementedError(\\\"Should have implemented this.\\\")\",\n \"def resize(self, event=None):\\n #self.render()\\n self.__resize_background(event)\\n #self.__delete_background()\\n #self.__create_background(self._imfname)\\n for sym in self.itersymbols():\\n sym.sym.resize(event)\",\n \"def test_resize_down_revert(self):\\n # devstack's m1.tiny and m1.small have different size disks so we\\n # can't use those as you can't resize down the disk. So we have to\\n # create our own flavors.\\n larger_flavor, smaller_flavor = self._create_resize_down_flavors()\\n # Now create the server with the larger flavor.\\n server_id = self._create_server(flavor=larger_flavor).id\\n # get the starting quota now that we've created a server\\n starting_usage = self._get_absolute_limits()\\n # now resize down\\n self.nova('resize',\\n params='%s %s --poll' % (server_id, smaller_flavor))\\n resize_usage = self._get_absolute_limits()\\n # compare the starting usage against the resize usage; with counting\\n # quotas in the server there are no reservations, so the\\n # usage changes after the resize happens before it's confirmed.\\n self._compare_quota_usage(starting_usage, resize_usage)\\n # now revert the resize\\n self.nova('resize-revert', params='%s' % server_id)\\n # we have to wait for the server to be ACTIVE before we can check quota\\n self._wait_for_state_change(server_id, 'active')\\n # get the final quota usage which will be different from the resize\\n # usage since we've reverted back *up* to the original flavor; the API\\n # code checks quota again if we revert up in size\\n revert_usage = self._get_absolute_limits()\\n self._compare_quota_usage(resize_usage, revert_usage)\",\n \"def __editRevert(self):\\n self.activeWindow().revertToUnmodified()\",\n \"def resize(self, width: int, height: int):\\n pass\",\n \"def Resize(self):\\n\\n self.history_length = int( round( self.owner['time_span']/self.owner['sample_speed']))\\n self.FreshStart()\",\n \"def on_resize(self, width, height):\\n self.label.y = height - 10\\n if self.reticle:\\n self.reticle.delete()\\n x, y = self.width // 2, self.height // 2\\n n = 10\\n self.reticle = pyglet.graphics.vertex_list(4,\\n ('v2i', (x - n, y, x + n, y, x, y - n, x, y + n))\\n )\",\n \"def resize(self):\\n\\t\\tself.win.erase()\\n\\t\\tfor c in self.components:\\n\\t\\t\\tc.resize()\\n\\t\\tself.draw(True)\",\n \"def rescale(self, event: tkinter.Event) -> None:\\n # the properties which are linked to the event of reconfiguration\\n # contain all the new sizes of the panel :\\n self.width, self.height = event.width - 4, event.height - 4\\n # The subtraction of 4 pixels is here to compensate the width\\n # of the 'highlight bordure' rolling the canvas)\\n self.draw_board()\",\n \"def undo(self, outer_instance):\\n pass\",\n \"def relayout(self): \\n\\t\\t#self.urmaswin.Layout()\\n\\t\\t#wx.CallAfter(self.urmaswin.Layout)\\n\\t\\t#wx.CallAfter(self.visualizer.OnSize)\",\n \"def resize(clip, size=None):\\n if size is None:\\n return clip.fx(vfx.resize, height=720)\\n return clip.fx(vfx.resize, size)\",\n \"def revert(self, *args, **kwargs):\",\n \"def __window_resizeTo(self, iWidth, iHeight):\\n pass\",\n \"def set_from_original(self):\\n self.image = self.orig_image\\n self.update_img()\\n self.update_size()\",\n \"def restore_backup_shape(self):\\n\\n self.shape = self.shape_backup\",\n \"def shrink(self):\\r\\n # first we need to decide how to shrink\\r\\n choice = rand.choice([0, 1, 2, 3])\\r\\n # now do it\\r\\n if ((choice == 0) and (self.xspan > mparam.min_s_xspan)):\\r\\n # delete first row\\r\\n self.cells = np.delete(self.cells, (0), axis=0) \\r\\n elif ((choice == 1) and (self.xspan > mparam.min_s_xspan)):\\r\\n # delete last row\\r\\n self.cells = np.delete(self.cells, (-1), axis=0) \\r\\n elif ((choice == 2) and (self.yspan > mparam.min_s_yspan)):\\r\\n # delete first column\\r\\n self.cells = np.delete(self.cells, (0), axis=1) \\r\\n elif ((choice == 3) and (self.yspan > mparam.min_s_yspan)):\\r\\n # delete last column\\r\\n self.cells = np.delete(self.cells, (-1), axis=1) \\r\\n # now let's update xspan and yspan to the new size\\r\\n self.xspan = self.cells.shape[0]\\r\\n self.yspan = self.cells.shape[1]\\r\\n #\\r\",\n \"def _resize(self, cap):\\n old = self._data\\n self._data = [None] * cap\\n walk = self._front\\n for i in range(self._size):\\n self._data[i] = old[walk]\\n walk = (walk + 1) % len(old)\\n self._front = 0\",\n \"def resize(self, width, height):\\n if self.example:\\n self.example.resize(width, height)\",\n \"def revert(self):\\n original = getattr(self, \\\"_original\\\", None)\\n if not original:\\n return\\n\\n if hasattr(self, \\\"output\\\"):\\n output = self.output\\n keep_output = True\\n else:\\n keep_output = False\\n\\n del self._original\\n\\n self.__dict__ = original.__dict__\\n\\n if keep_output:\\n self.output = output\",\n \"def resize(self, *args):\\n return _ida_hexrays.qvector_history_t_resize(self, *args)\",\n \"def resize(self, columns, rows):\\n\\t\\tsuper().resize(columns, rows)\\n\\t\\tself.fill(None)\\n\\t\\tself.create()\",\n \"def main():\\r\\n original = SimpleImage(\\\"images/poppy.png\\\")\\r\\n original.show()\\r\\n # shrink function\\r\\n after_shrink = shrink('images/poppy.png')\\r\\n after_shrink.show()\",\n \"def __ev_resize(self, event):\\n\\n new_size = event.dict['size']\\n surface_size = self.__screen.get_size()\\n old_center = self.__screen.get_rect().center\\n if new_size != surface_size:\\n self.__screen = pygame.display.set_mode(new_size,\\n self.__screen.get_flags(),\\n self.__screen.get_bitsize())\\n self.init(offset=vect_diff(self.__screen.get_rect().center,\\n old_center))\\n self.__screen_width, self.__screen_height = self.__screen.get_size()\",\n \"def resizeEvent(self, event):\\n self.resized.emit()\\n return super(PiWndow, self).resizeEvent(event)\",\n \"def OnResize(self, event):\\n self._resizing = True\\n self._resize_timer.Start(60, True)\",\n \"def resize(self):\\n h, w = self.win.getmaxyx()\\n self.maxh, self.maxw = h, w\\n if w == 0 or h == 2:\\n return\\n self.win.resize(h, w)\\n self.lpane.do_resize(h, w)\\n self.rpane.do_resize(h, w)\\n self.statusbar.resize(h, w)\\n self.tabbar.resize(1,w)\\n self.regenerate()\\n self.display()\",\n \"def restore(self):\\n raise NotImplementedError\",\n \"def backup_shape(self):\\n\\n self.shape_backup = np.copy(self.shape)\",\n \"def flip(self, horizontally):\\n\\t\\tself.currentPixbuf = self.currentPixbuf.flip(horizontally)\\n\\t\\tself.scaleCache[1] = 0\\n\\t\\tgc.collect()\",\n \"def pre_revert(self):\",\n \"def on_resize(self, width, height):\\n self.gamestatemanager.peek().on_resize(width, height)\",\n \"def rescale(self, factor):\\n scaled_size = (int(self.width * factor), int(self.height * factor))\\n return self.resize(scaled_size)\",\n \"def resize_display(self, (w, h)):\\n self.surface = pygame.display.set_mode((w, h), pygame.RESIZABLE)\",\n \"def resize(self, width, height):\\n\\t\\tself._set_image(\\n\\t\\t\\tSolidColorImagePattern(\\n\\t\\t\\t\\tcolor=(self._r,self._g,self._b,self._a)\\n\\t\\t\\t).create_image(width, height)\\n\\t\\t)\",\n \"def resize(self, size: Tuple[int, int]):\\n if self._immutable:\\n raise ValueError(\\\"Immutable textures cannot be resized\\\")\\n\\n gl.glActiveTexture(gl.GL_TEXTURE0 + self._ctx.default_texture_unit)\\n gl.glBindTexture(self._target, self._glo)\\n\\n self._width, self._height = size\\n\\n self._texture_2d(None)\",\n \"def revert(self, ref=None):\\n # TODO\\n raise NotImplementedError\",\n \"def on_resize(event):\\n gloo.set_viewport(0, 0, *event.physical_size)\",\n \"def unregisterResized(self, function):\\n self._sig_resized.unsubscribe(function)\",\n \"def restore(self):\\n self.weight = self._backup_weight\",\n \"def resize(self, height, width):\\n return self.client.api.resize(self.id, height, width)\",\n \"def do_relayout(self):\\n # This method is called whenever a relayout is requested. By\\n # default, this is when the layout children change. In that case\\n # we just need to update the min and max sizes. We are a top\\n # level window, so no one really cares about our size hint. \\n self.update_minimum_size()\\n self.update_maximum_size()\",\n \"def Pane_Resized( self, new_sizes ):\\r\\n if(new_sizes[0] > 200 ):\\r\\n cb.xtotal = new_sizes[0]-100\\r\\n self.canvas_one.config(width = new_sizes[0])\\r\\n self.canvas_scale.config(width = new_sizes[0])\\r\\n else:\\r\\n cb.xtotal = 200-100\\r\\n self.canvas_one.config(width = 200)\\r\\n self.canvas_scale.config(width = 200)\\r\\n if (len(new_sizes) > 1 ):\\r\\n self.canvas_two.config(width=new_sizes[1])\\r\\n self.system.Draw()\",\n \"def restore(self, thetime=None):\\n\\t\\t\\n\\t\\tif thetime == None:\\n\\t\\t\\tthetime = gtk.get_current_event_time()\\n\\t\\tself.__window.unminimize(thetime)\\n\\t\\tself.update_minimization()\\n\\t\\treturn\",\n \"def resize(self, size):\\n self.instance.resize_volume(size)\\n self.size = size\",\n \"def resize(self, width, height):\\n geo = self.geometry\\n # Start of menu.\\n self.menu_start = self.window.width - (geo.menu_width +\\\\\\n geo.horizontal_margin + geo.scroll_bar_width)\\n # Update vertical span of the window.\\n self.current_view_span = height - self.status_bar.height\\n # Call the resize method of all objects in the current window.\\n for object in self.object_list:\\n object.resize(width, height)\\n # Just one call to the adaptive plot height is needed. Therefore the\\n # calls need to be here.\\n if self.waveforms:\\n self.utils.adaptPlotHeight()\",\n \"def post_revert(self):\",\n \"def _flush(self):\\n w, h = self.get_width_height()\\n self.resize(w+1, h)\\n self.resize(w, h)\\n\\n return\",\n \"def update_resize(self, viewer, dims):\\n self.recalc(viewer)\",\n \"def body_resize(self):\",\n \"def _shrink_main(self, amt):\\n self.ratio -= amt\\n self.ratio = max(self.min_ratio, self.ratio)\",\n \"def Restore(self):\\r\\n \\r\\n return self.SetFlag(self.optionMaximized or self.optionMinimized, False)\",\n \"def resizeEvent(self, event):\\n if ((event.oldSize().height() == 0 and event.size().height()) or\\n (event.oldSize().width() == 0 and event.size().width())):\\n self.updateContents()\\n return super().resizeEvent(event)\",\n \"def revolver(self):\\r\\n\\t\\tself.__revuelto=True\",\n \"def _zoomCamera(self, sizeChange):\\n self.camSize -= sizeChange\",\n \"def rescale(self, new_throughput):\\n\\t\\treturn type(self)(self.item, self.recipe, new_throughput, self.per_process_outputs)\",\n \"def reset(self, aspectRatio=None):\\n self.currentBox = None\\n self.aspectRatio = aspectRatio\\n self.drawingSurface.Refresh()\",\n \"def on_resize(self, _: int = 0) -> None:\\n assert CursesMenu.stdscr is not None\\n screen_rows, screen_cols = CursesMenu.stdscr.getmaxyx()\\n curses.resizeterm(screen_rows, screen_cols)\\n self.draw()\",\n \"def resize(self, *args):\\n return _ida_hexrays.lvar_saved_infos_t_resize(self, *args)\",\n \"def partVirtualHelixResizedSlot(self, sender, coord):\\n vh = self._virtualHelixHash[coord]\\n vh.resize()\",\n \"def resize(self):\\r\\n Win.resize(self)\\r\\n self.write(\\\"### console has been resized\\\")\",\n \"def resize(self):\\n e = self.e\\n if abs(self.dnp) * ( self.np-self.np_req) > 0:\\n e = self.er\\n self.dsize = numpy.clip((self.np_req/self.np)**(1./e), 1/self.r, self.r)\\n self.size *= self.dsize\",\n \"def resizeEvent(self, event):\\n\\n self.settings.setValue(\\\"geometry\\\", self.saveGeometry())\\n\\n super().resizeEvent(event)\",\n \"def reset_limits(self):\\n self.autoscale = True\\n self.pixels.autoscale()\",\n \"def rescale_image(self, img_file, new_width, new_height, model_path, file_description):\\n cwd = os.getcwd()\\n self.new_width = new_width\\n self.new_height = new_height\\n self.extract_file_name(img_file)\\n shutil.copy(img_file, os.path.join('utils_dfn/temp', self.file_name_with_ext))\\n self.run_padding()\\n self.run_dfn(model_path)\\n self.restore_to_correct_size(file_description)\\n clean()\",\n \"def resize(self, *args):\\n return _ida_hexrays.qvector_ccase_t_resize(self, *args)\",\n \"def patch_resize(c, graph, node_select):\\r\\n return c\",\n \"def _changed_size(self, **kw):\\n\\t\\tself._clear_matrix()\\n\\t\\t\\n\\t\\tself._recalc_adjustments()\\n\\t\\t\\n\\t\\tif self.flags() & gtk.REALIZED:\\n\\t\\t\\tif kw.get('resize', True): self.queue_resize()\\n\\t\\t\\tif kw.get('draw', True): self.queue_draw()\",\n \"def scale_out(self, *args, **kwargs):\\n pass\",\n \"def ev_windowresized(self, event: WindowResized) -> None:\",\n \"def resizeEvent(self, event):\\n self.updateViewer()\",\n \"def container_resized(self, delta):\\n\\t\\tdw, dh = delta\\n\\t\\tleft, top, right, bottom = self.bounds\\n\\t\\tif self.hmove:\\n\\t\\t\\tleft += dw\\n\\t\\t\\tright += dw\\n\\t\\telif self.hstretch:\\n\\t\\t\\tright += dw\\n\\t\\tif self.vmove:\\n\\t\\t\\ttop += dh\\n\\t\\t\\tbottom += dh\\n\\t\\telif self.vstretch:\\n\\t\\t\\tbottom += dh\\n\\t\\tself.bounds = (left, top, right, bottom)\",\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 \"def _shrink_secondary(self, amt):\\n self._resize_secondary(-amt)\",\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 resizeEvent(self, event):\\n super().resizeEvent(event)\\n self.resized.emit()\",\n \"def restore_hp(self):\\n if self.cur_hp < self.max_hp:\\n self.cur_hp += 1\\n self.hp_rect.width = (self.cur_hp / self.max_hp) * self.hp_bar_width\",\n \"def resizeEvent(self, event):\\n self.autosize()\\n super().resizeEvent(event)\",\n \"def resizable(self, resizablelargura, resizablealtura):\\n\\n try:\\n # FUNÇÃO DEFINIDA PARA CONTROLAR O REDIMENSIONAMENTO\\n self.root.resizable(resizablelargura, resizablealtura)\\n except Exception as ex:\\n print(ex)\",\n \"def resize(self, x=0, y=0, w=0, h=0):\\r\\n if w <= 0:\\r\\n w = self.max_width\\r\\n if h <= 0:\\r\\n h = self.max_height\\r\\n self.width = w\\r\\n self.height = h\\r\\n\\r\\n self.left = x\\r\\n self.top = y\\r\\n self.right = x + w\\r\\n self.bottom = y + h\\r\\n self.opengl.resize(x, y, w, h)\",\n \"def resize(self, flavor):\\n # We need the flavorRef, not the flavor or size.\\n flavorRef = self.manager.api._get_flavor_ref(flavor)\\n body = {\\\"flavorRef\\\": flavorRef}\\n self.manager.action(self, \\\"resize\\\", body=body)\",\n \"def restore(self):\\n lib.SDL_RestoreWindow(self._ptr)\",\n \"def revert(self, a):\\n raise NotImplementedError\",\n \"def restore_to_correct_size(self, file_description):\\n file_name = os.listdir('utils_dfn/output/result')[0]\\n file_name_with_ext, file_name = extract_file_name(file_name)\\n new_file = os.path.join('static/rescaled_images', self.file_name + file_description + '.png')\\n img = cv2.imread(os.path.join('utils_dfn/output/result', file_name_with_ext))\\n if self.new_width > self.new_height:\\n new_size = self.new_width\\n else:\\n new_size = self.new_height\\n\\n img = resize_image(img, new_size, new_size)\\n img = crop_image(img, bottom=self.pad_to_bottom, right=self.pad_to_right)\\n cv2.imwrite(new_file, img)\\n self.rescaled_file_name_with_ext, _ = extract_file_name(new_file)\",\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 __resizeBox(self, x, y):\\n # Implement the correct behavior for dragging a side\\n # of the box: Only change one dimension.\\n if not self.aspectRatio:\\n if self.__currentCursor == wx.CURSOR_SIZENS:\\n x = None\\n elif self.__currentCursor == wx.CURSOR_SIZEWE:\\n y = None\\n\\n x0,y0,w0,h0 = self.currentBox\\n currentExtent = boxToExtent(self.currentBox)\\n if x == None:\\n if w0 < 1:\\n w0 += 1\\n else:\\n w0 -= 1\\n x = x0 + w0\\n if y == None:\\n if h0 < 1:\\n h0 += 1\\n else:\\n h0 -= 1\\n y = y0 + h0\\n x1,y1 = x, y\\n w, h = abs(x1-x0)+1, abs(y1-y0)+1\\n if self.aspectRatio:\\n w = max(w, int(h * self.aspectRatio))\\n h = int(w / self.aspectRatio)\\n w *= [1,-1][isNegative(x1-x0)]\\n h *= [1,-1][isNegative(y1-y0)]\\n newbox = (x0, y0, w, h)\\n self.__drawAndErase(boxToDraw=normalizeBox(newbox), boxToErase=normalizeBox(self.currentBox))\\n self.currentBox = (x0, y0, w, h)\",\n \"def _resize_image(self, event):\\n self.window_width = event.width\\n self.window_height = event.height\",\n \"def resize(self, new_size):\\n resized_img = opencv.resize(self.img, new_size)\\n return Image(resized_img)\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.6986136","0.68204737","0.6661556","0.63614696","0.62983406","0.6171705","0.6011107","0.6008451","0.5987632","0.5973601","0.5963438","0.59527135","0.5929965","0.59045684","0.58809394","0.5872158","0.5844432","0.5821003","0.5806872","0.5796652","0.5757699","0.56835765","0.56828266","0.56782204","0.56774545","0.56721455","0.565743","0.56386673","0.560994","0.5599321","0.5593195","0.5578307","0.556719","0.55576354","0.5552215","0.55485034","0.5545137","0.55343235","0.55297804","0.55200595","0.550987","0.5499392","0.5475106","0.5474278","0.54529214","0.5447629","0.5444708","0.54119784","0.540945","0.5409353","0.540234","0.53929347","0.5389624","0.5385618","0.5383348","0.5380097","0.5379894","0.5375569","0.5374264","0.53665775","0.535357","0.53305525","0.5329031","0.5328135","0.53225076","0.53224266","0.53201556","0.531126","0.53066385","0.52973175","0.52930415","0.528717","0.5281522","0.5273916","0.5271541","0.52713454","0.5263501","0.5261302","0.5244805","0.52404726","0.52386224","0.52359533","0.52323866","0.52289194","0.5228158","0.5227412","0.52246815","0.5223957","0.52232623","0.5222324","0.52164763","0.52079946","0.5199563","0.51995","0.51910496","0.51900893","0.5188439","0.51881385","0.5185755","0.51857215"],"string":"[\n \"0.6986136\",\n \"0.68204737\",\n \"0.6661556\",\n \"0.63614696\",\n \"0.62983406\",\n \"0.6171705\",\n \"0.6011107\",\n \"0.6008451\",\n \"0.5987632\",\n \"0.5973601\",\n \"0.5963438\",\n \"0.59527135\",\n \"0.5929965\",\n \"0.59045684\",\n \"0.58809394\",\n \"0.5872158\",\n \"0.5844432\",\n \"0.5821003\",\n \"0.5806872\",\n \"0.5796652\",\n \"0.5757699\",\n \"0.56835765\",\n \"0.56828266\",\n \"0.56782204\",\n \"0.56774545\",\n \"0.56721455\",\n \"0.565743\",\n \"0.56386673\",\n \"0.560994\",\n \"0.5599321\",\n \"0.5593195\",\n \"0.5578307\",\n \"0.556719\",\n \"0.55576354\",\n \"0.5552215\",\n \"0.55485034\",\n \"0.5545137\",\n \"0.55343235\",\n \"0.55297804\",\n \"0.55200595\",\n \"0.550987\",\n \"0.5499392\",\n \"0.5475106\",\n \"0.5474278\",\n \"0.54529214\",\n \"0.5447629\",\n \"0.5444708\",\n \"0.54119784\",\n \"0.540945\",\n \"0.5409353\",\n \"0.540234\",\n \"0.53929347\",\n \"0.5389624\",\n \"0.5385618\",\n \"0.5383348\",\n \"0.5380097\",\n \"0.5379894\",\n \"0.5375569\",\n \"0.5374264\",\n \"0.53665775\",\n \"0.535357\",\n \"0.53305525\",\n \"0.5329031\",\n \"0.5328135\",\n \"0.53225076\",\n \"0.53224266\",\n \"0.53201556\",\n \"0.531126\",\n \"0.53066385\",\n \"0.52973175\",\n \"0.52930415\",\n \"0.528717\",\n \"0.5281522\",\n \"0.5273916\",\n \"0.5271541\",\n \"0.52713454\",\n \"0.5263501\",\n \"0.5261302\",\n \"0.5244805\",\n \"0.52404726\",\n \"0.52386224\",\n \"0.52359533\",\n \"0.52323866\",\n \"0.52289194\",\n \"0.5228158\",\n \"0.5227412\",\n \"0.52246815\",\n \"0.5223957\",\n \"0.52232623\",\n \"0.5222324\",\n \"0.52164763\",\n \"0.52079946\",\n \"0.5199563\",\n \"0.51995\",\n \"0.51910496\",\n \"0.51900893\",\n \"0.5188439\",\n \"0.51881385\",\n \"0.5185755\",\n \"0.51857215\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.56798697"},"document_rank":{"kind":"string","value":"23"}}},{"rowIdx":20481,"cells":{"query":{"kind":"string","value":"Reject an action against an instance"},"document":{"kind":"string","value":"def nfvi_reject_instance_action(instance_uuid, message, context):\n cmd_id = _compute_plugin.invoke_plugin('reject_instance_action',\n instance_uuid, message, context)\n return cmd_id"},"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 reject(self):\n pass","def reject(self, responder):\n self._apply_decision(self.Status.REJECTED, responder)","def on_reject(self):\n self.state = REJECTED\n self._reject()","def reject(self, message):\n boto_connection = connection.get_connection()\n boto_connection.reject_assignment(self.assignment_id, message)","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 rescue(self, instance):\n pass","def cant(user, action):\n\n return not can(user, action)","def reject(self):\n\n self.date_of_submission = None\n api.content.transition(obj=self,\n transition='proposal-transition-reject')","def reject(self, feedback=None):\n self.hit.generate_connection()\n self.hit.connection.reject_assignment(self.mturk_id, feedback=feedback)\n self.update()","def test_invalid_action(self):\n\n # Prepare.\n app = self.factory()\n request = self.getRequest(app)\n context = model.factory()\n\n # Ask for permission.\n state_changer = request.state_changer\n self.assertFalse(state_changer.can_perform(context, a.COMPLETE))\n\n # Beg for forgiveness.\n err = fysom.FysomError\n self.assertRaises(err, state_changer.perform, context, a.COMPLETE, None)","def on_buttonBox_rejected(self):\n self.reject()","def reject(self):\n print \"This form has been rejected. Current state:\", self.state","def serverReject(self):\n self.handshake_deferred.errback(ConnectionDeny(code=403, reason=\"Access denied\"))\n self.cleanup()\n logger.debug(\"WebSocket %s rejected by application\", self.reply_channel)\n self.factory.log_action(\"websocket\", \"rejected\", {\n \"path\": self.request.path,\n \"client\": \"%s:%s\" % tuple(self.client_addr) if self.client_addr else None,\n })","def test_revoke_inactive(self):\n self.invite.active = False\n self.invite.save()\n url = reverse(\n 'projectroles:api_invite_revoke',\n kwargs={'projectinvite': self.invite.sodar_uuid},\n )\n response = self.request_knox(url, method='POST')\n self.assertEqual(response.status_code, 400, msg=response.content)","def unrescue(self, instance):\n pass","def denyMethod(self, verb, resource):\n self._addMethod(\"Deny\", verb, resource, [])","def cancel_instance(self, instance_id):\r\n return self.guest.deleteObject(id=instance_id)","def unaccept_offer(self, pname, matchid):\n msg = '%s declined the match' % (pname)\n self._rem_offer(matchid, msg)\n msg = '%s canceled the game' % (pname)\n self._rem_game(matchid, msg)","def _reject(self, reason):\n log.error('Rejected: %s' % reason)\n\n self._remove_changes()\n self._remove_files()\n\n if self.user is not None:\n email = Email('importer_reject_maintainer')\n package = self.changes.get('Source', '')\n\n self.send_email(email, [self.user.email], package=package, message=reason)\n sys.exit(1)","def Reject(self, request, global_params=None):\n config = self.GetMethodConfig('Reject')\n return self._RunMethod(\n config, request, global_params=global_params)","def reject(self):\n self.skype.conn(\"PUT\", \"{0}/users/{1}/invites/8:{2}/decline\"\n .format(SkypeConnection.API_CONTACTS, self.skype.userId, self.userId),\n auth=SkypeConnection.Auth.SkypeToken)","def test_disallow_betrayal(self):\n s1 = self.battle.create_skirmish(self.alice, 1)\n with self.assertRaises(db.TeamException):\n s1.react(self.bob, 1, hinder=False)\n\n n = (self.sess.query(db.SkirmishAction).filter_by(parent_id=None).\n filter_by(participant=self.alice)).count()\n self.assertEqual(n, 1)","def action_cancel(self):\n self.state = 'canceled'","def canceled(self):\n self.reject()","def effectOnMiss(self, user, target):\n return self.stopCharge(user)","def effectOnMiss(self, user, target):\n return self.stopCharge(user)","def reject_waiting_call(self) -> None:","def reject(self, request, queryset):\n\n rejected_count = self.reject_stories(queryset)\n self.message_user_results(request, rejected_count, 0, \"rejected\")","def reject(self):\r\n QtGui.QDialog.reject(self)","def test_bad_action(self):\r\n action = 'robot-not-an-action'\r\n url = reverse('bulk_beta_modify_access', kwargs={'course_id': self.course.id.to_deprecated_string()})\r\n response = self.client.get(url, {'identifiers': self.beta_tester.email, 'action': action})\r\n self.assertEqual(response.status_code, 400)","def cancel(self):\n self.succeeded = False\n self.reject()","def cancel(self):\n self.succeeded = False\n self.reject()","def cancel(self):\n self.succeeded = False\n self.reject()","def cancel(self):\n self.succeeded = False\n self.reject()","def ignore(self):\n self.accepted = False","def ignore(self):\n self.accepted = False","def reject(request, pk=None):\n # Check request is still valid or not\n friend_request = get_or_none(FriendRequest, pk=pk)\n # if request is not valid\n if friend_request is None:\n return Response({'status': '400', 'code': 'E_REQUEST_NOT_FOUND',\n 'detail': code['E_REQUEST_NOT_FOUND']}, status=400)\n # Delete request\n friend_request.delete()\n return Response({'status': '201', 'code': 'OK_REJECT_FRIEND_REQUEST',\n 'detail': code['OK_REJECT_FRIEND_REQUEST']}, status=201)","def cancel_action(self, ctxt, action_id):\n action = action_mod.Action.load(self.db_session, action_id,\n project_safe=False)\n action.signal(action.SIG_CANCEL)","def deny():\n raise InterruptEvent","def reject(self):\n self.new_rom = None\n self.new_reductor = None","def deny(self, role, operation, resource, assertion=None):\r\n assert not role or role in self._roles\r\n assert not resource or resource in self._resources\r\n self._denied[role, operation, resource] = assertion","def unblock(self):\n data = {'container': self._reddit.user.me().fullname,\n 'name': str(self), 'type': 'enemy'}\n url = API_PATH['unfriend'].format(subreddit='all')\n # PRAW5 REMOVE (return statement)\n return self._reddit.post(url, data=data)","def auto_reject(self, reason):\n self.auto_rejection_reason = reason\n self.reject(responder=None)","def handle_rejected(self, m: Message) -> None:\n if m.id == self.p_id:\n self.rejected.add(m.src)\n # If a majority of the Acceptors did return with REJECTED we reject it and start over.\n if len(self.rejected) > len(self.sim.a) // 2:\n self.handle_propose(m)\n self.accepted = set()\n self.rejected = set()\n print(f'{self.sim.current_tick:04}: A{m.src.id} -> P{m.dst.id} {m.type} n={m.id}')","def reject_user_application(self, user):\n if self.is_moderator \\\n and self.has_perm('accounts.reject_user_application'):\n user.moderator = self\n user.moderator_decision = user.REJECTED\n user.decision_datetime = timezone.now()\n user.save()\n\n return user\n\n else:\n raise PermissionDenied","def uncheck(self, roommate_instance):\n if self.status == Item.PROCESSING_CODE and self.check_who == roommate_instance:\n self.status = Item.UNCHECKED_CODE\n self.check_who = None\n else:\n raise PermissionDenied","async def reject_challenge(self, user_id, *, delay=0, lifespan=math.inf):\n await self.user_command(\n \"\", \"reject\", user_id, delay=delay, lifespan=lifespan\n )","async def deny(self, ctx: commands.Context, target: discord.Member):\n try:\n accepter = get(ctx.guild.roles, id=await self.config.guild(ctx.guild).accepter_id())\n except TypeError:\n accepter = None\n if not accepter:\n if not ctx.author.guild_permissions.administrator:\n return await ctx.send(\"Uh oh, you cannot use this command.\")\n else:\n if accepter not in ctx.author.roles:\n return await ctx.send(\"Uh oh, you cannot use this command.\")\n try:\n applicant = get(ctx.guild.roles, id=await self.config.guild(ctx.guild).applicant_id())\n except TypeError:\n applicant = None\n if not applicant:\n applicant = get(ctx.guild.roles, name=\"Staff Applicant\")\n if not applicant:\n return await ctx.send(\n \"Uh oh, the configuration is not correct. Ask the Admins to set it.\"\n )\n if applicant in target.roles:\n await ctx.send(\"Would you like to specify a reason? (yes/no)\")\n pred = MessagePredicate.yes_or_no(ctx)\n try:\n await self.bot.wait_for(\"message\", timeout=30, check=pred)\n except asyncio.TimeoutError:\n return await ctx.send(\"You took too long. Try again, please.\")\n if pred.result:\n await ctx.send(\"Please, specify your reason now.\")\n\n def check(m):\n return m.author == ctx.author\n\n try:\n reason = await self.bot.wait_for(\"message\", timeout=120, check=check)\n except asyncio.TimeoutError:\n return await ctx.send(\"You took too long. Try again, please.\")\n await target.send(\n f\"Your application in {ctx.guild.name} has been denied.\\n*Reason:* {reason.content}\"\n )\n else:\n await target.send(f\"Your application in {ctx.guild.name} has been denied.\")\n await target.remove_roles(applicant)\n await ctx.send(f\"Denied {target.mention}'s application.\")\n else:\n await ctx.send(f\"Uh oh. Looks like {target.mention} hasn't applied for anything.\")","async def deny(self, ctx: commands.Context, target: discord.Member):\n try:\n accepter = get(ctx.guild.roles, id = await self.config.guild(ctx.guild).accepter_id())\n except TypeError:\n accepter = None\n if not accepter:\n if not ctx.author.guild_permissions.administrator:\n return await ctx.send(\"Uh oh, you cannot use this command.\")\n else:\n if accepter not in ctx.author.roles:\n return await ctx.send(\"Uh oh, you cannot use this command.\")\n try:\n applicant = get(ctx.guild.roles, id = await self.config.guild(ctx.guild).applicant_id())\n except TypeError:\n applicant = None\n if not applicant:\n applicant = get(ctx.guild.roles, name=\"Staff Applicant\")\n if not applicant:\n return await ctx.send(\"Uh oh, the configuration is not correct. Ask the Admins to set it.\")\n if applicant in target.roles:\n await ctx.send(\"Would you like to specify a reason? (yes/no)\")\n pred = MessagePredicate.yes_or_no(ctx)\n try:\n await self.bot.wait_for(\"message\", timeout=30, check=pred)\n except asyncio.TimeoutError:\n return await ctx.send(\"You took too long. Try again, please.\")\n if pred.result:\n await ctx.send(\"Please, specify your reason now.\")\n\n def check(m):\n return m.author == ctx.author\n\n try:\n reason = await self.bot.wait_for(\n \"message\", timeout=120, check=check\n )\n except asyncio.TimeoutError:\n return await ctx.send(\"You took too long. Try again, please.\")\n await target.send(\n f\"Your application in {ctx.guild.name} has been denied.\\n*Reason:* {reason.content}\"\n )\n else:\n await target.send(\n f\"Your application in {ctx.guild.name} has been denied.\"\n )\n await target.remove_roles(applicant)\n await ctx.send(f\"Denied {target.mention}'s application.\")\n else:\n await ctx.send(\n f\"Uh oh. Looks like {target.mention} hasn't applied for anything.\"\n )","async def action_failed_button(self, payload: discord.RawReactionActionEvent) -> None:\n\n self.bits = flip_action_bits(LoggingActions.ACTION_FAILED, self.bits)\n await self.update_embed()","def on_reject(self, update, _context):\n self.send_message(update.message.chat_id, c.MSG_THANKS_NOTHANKS)","def handle_illegal_action(self, state, illegal_action):\n #############################\n #\n #\n # YOUR CODE HERE\n #\n #\n #############################\n print(\"An illegal action was attempted:\")\n print('State: ' + str(state))\n print('Action: ' + str(illegal_action))\n\n #self.game.set_state(,game.get_last_player())","def test_invalid_action(self):\n subject = self.subject(1, name='test_marker')\n with self.assertRaises(NotImplementedError) as context:\n subject.action\n with self.assertRaises(NotImplementedError) as context:\n subject.get_action_url()","def make_eligible(self):\n pass","def test_reject_agreement(self):\n pass","def test_bad_action(self):\n req = self.req(\"post\", \"/the/url\", data={\"action-bad\": \"3\"})\n\n res = self.view(req)\n\n self.assertEqual(self.mock_model._base_manager.get.call_count, 0)\n self.assertEqual(res.status_code, 302)","def unapprove(self):\n self._check_if_open()\n return super(BitbucketCloudBase, self).delete(\"approve\")","def reject(self, text):\n\n RejectProposalCommand(self).execute()\n proposal = self.load_model()\n proposal.reject(text)\n\n with elevated_privileges():\n api.content.delete(self)","def cancel(self, membership, callback=None):","def cancel(self):","def cancel(self):","def cancel(self):","def test_canceled_unopposed(self):\n s1 = self.battle.create_skirmish(self.alice, 10) # Attack 10\n s1a = s1.react(self.bob, 8,\n troop_type=\"cavalry\") # --Attack 8 (12)\n s1a.react(self.alice, 6,\n troop_type=\"ranged\") # ----Attack 6 (9)\n s1.resolve()\n self.assertEqual(s1.victor, self.alice.team)\n self.assert_(s1.unopposed)\n\n # Should be 20 VP (double the 10 it'd ordinarily be worth)\n self.assertEqual(s1.vp, 20)","def test_not_unopposed(self):\n s1 = self.battle.create_skirmish(self.alice, 2) # Attack 2\n s1.react(self.bob, 1) # --Attack 1\n s1.resolve()\n self.assertFalse(s1.unopposed)","def test_cmd_cs_subscription_bad_action(self):\n bad_action = 'blahblah'\n\n result = self.runner.invoke(cli, ['subscription', bad_action])\n assert f\"invalid choice: {bad_action}\" in result.output\n assert result.exception","def test_confirm_invalid_action(self):\n headers = self._get_oauth_header()\n # using delete but it doesn't matter if it's delete or add\n res = self.client.delete('/v1/flow_requests/p_11111/', **headers)\n confirm_id = res.json()['confirm_id']\n callback_url = 'http://127.0.0.1/'\n\n self.client.login(username='duck', password='duck')\n res = self.client.get('/v1/flow_requests/confirm/?confirm_id={}&callback_url={}&action=NOT_VALID'.format(\n confirm_id, callback_url))\n\n self.assertEqual(res.status_code, 400)\n self.assertEqual(res.content.decode('utf-8'), ERRORS_MESSAGE['UNKNOWN_ACTION'])","def __call__(self,action=None):\n raise NYI","def rejectEvent(self, status):\n\t\t# set all meta data to -1\n\t\t[ self._setRejectMetadata(mdHead) for mdHead in self.__dict__.keys() if mdHead.startswith('md')==True ]\n\t\t# set processing status to status\n\t\tself.mdProcessingStatus=status","def instance_action():\n data = check_args(\n ('cloudProvider', 'apiKey', 'secretKey', 'instanceAction',\n 'instanceId')\n )\n job = jobs.instance_action.apply_async(args=(data,))\n return make_response(job_id=job.id)","def reject(self, other):\n return self - self.project(other)","async def rejected(error: Exception) -> Any:\n raise error","def stop_action(self, _id, block=True):\n self._actions[_id].cancel()\n if block:\n self._workers[_id].join()","def unable(self):\n response.status = 400\n return {'message':'current state does not allow modification'}","def violate_rule(state, action):\n if action in state:\n return True\n return False","def reject_assignment(assignment, feedback):\n client.reject_assignment(\n AssignmentId=assignment['AssignmentId'],\n RequesterFeedback=feedback\n )\n # with session_scope() as session:\n # qualification = (\n # session.query(Qualification)\n # .filter(Qualification.short_name == 'bad-worker')\n # .one()\n # )\n # qualification_type_id = qualification.qualification_type_id\n # client.associate_qualification_with_worker(\n # QualificationTypeId=qualification_type_id,\n # WorkerId=assignment['WorkerId'],\n # IntegerValue=1,\n # SendNotification=False\n # )","def test_patch_not_allowed(self, parse_args):\n parse_args.side_effect = [{\n _ATTEMPT.attempt_id: 'forbidden'\n }, {\n _ATTEMPT.run_id: 'forbidden'\n }]\n _, err = self.resource.patch(self.attempts[1][_ATTEMPT.attempt_id])\n self.assertEqual(403, err)","async def stop(self, message: str = 'Discarded Audit Actions Changes.') -> None:\n\n await self.ctx.send(message)\n super().stop()","def exceptcancommand(self, module, command):\n self._exceptcancommand(module, command)","def stop(self, *args, **kwargs):\n return self(AbilityId.STOP, *args, **kwargs)","def potential_action(self) -> object:\n return self._potential_action","def test_disallow_fighting_retreat(self):\n londo = self.get_region(\"Orange Londo\")\n self.alice.move(100, londo, 60 * 60 * 24)\n\n with self.assertRaises(db.InProgressException):\n self.battle.create_skirmish(self.alice, 1)","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 invalid(self, state):\n log(\"current state '{0}' cannot process event '{1}'\".format(state.name, self.name))","def unregister(self):\n idaapi.unregister_action(self.get_name())","def accept_cancel(self):\n self.ok = False\n self.destroy()","def test_unpause_server_fails_as_user(self):\n with self.assertRaises(Forbidden):\n self.servers_client.unpause_server(self.server.id)","def test_failing_action(self):\n dummy_calls = []\n\n self.ch_core.hookenv.action_fail.side_effect = dummy_calls.append\n\n def dummy_action(args):\n raise ValueError('uh oh')\n\n with mock.patch.dict(actions.ACTIONS, {'foo': dummy_action}):\n actions.main(['foo'])\n self.assertEqual(dummy_calls, ['Action \"foo\" failed: \"uh oh\"'])","def test_bad_action(self):\r\n action = 'robot-not-an-action'\r\n url = reverse('students_update_enrollment', kwargs={'course_id': self.course.id.to_deprecated_string()})\r\n response = self.client.get(url, {'identifiers': self.enrolled_student.email, 'action': action})\r\n self.assertEqual(response.status_code, 400)","def reject(self):\n pars = self.params\n if filters.startracker_lost(pars):\n return \"Alert occurred while Swift star-tracker had lost lock.\"\n\n # if not filters.grb_identified(pars):\n # if filters.tgt_in_ground_cat(pars) or filters.tgt_in_flight_cat(pars):\n # return \"Not a GRB - target associated with known catalog source\"\n # else:\n # return \"\"\"Not identified as GRB, but not a known source.\n # See packet for further details.\"\"\"\n return None","def denyMethodWithConditions(self, verb, resource, conditions):\n self._addMethod(\"Deny\", verb, resource, conditions)","def on_cancel(self):\n self.state = CANCELED\n self._reject()","def _confirm_action(self, action):\n\t\treturn True","def deny(cls, id):\n q = {'_id': id}\n Database.delete_one(collection='pending_trailers', query=q)","def reject_mission(self, missionId):\n print('Rejecting mission', missionId, 'for aircraft', self.id);\n self.pendingMissions.remove(missionId)\n if self.outputBackupFile is not None:\n with open(self.outputBackupFile, \"ab\") as f:\n pickle.dump({'pendingMissions' : self.pendingMissions}, f)\n self.pending_missions_updated(\n {'event': 'rejected', 'mission': self.missions[missionId]})","def should_not(self):\n return Target(self.case, self.subject, True)","def confirmation_failed(self):","def message_user_failure(self, request, count, action):\n\n message_bit = self._get_message_bit(count)\n level = messages.ERROR\n message = \"%s could not be %s.\" % (message_bit, action)\n self.message_user(request, message, level=level)","def canCancel(self) -> bool:\n ...","def canCancel(self) -> bool:\n ...","def canCancel(self) -> bool:\n ..."],"string":"[\n \"def reject(self):\\n pass\",\n \"def reject(self, responder):\\n self._apply_decision(self.Status.REJECTED, responder)\",\n \"def on_reject(self):\\n self.state = REJECTED\\n self._reject()\",\n \"def reject(self, message):\\n boto_connection = connection.get_connection()\\n boto_connection.reject_assignment(self.assignment_id, message)\",\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 rescue(self, instance):\\n pass\",\n \"def cant(user, action):\\n\\n return not can(user, action)\",\n \"def reject(self):\\n\\n self.date_of_submission = None\\n api.content.transition(obj=self,\\n transition='proposal-transition-reject')\",\n \"def reject(self, feedback=None):\\n self.hit.generate_connection()\\n self.hit.connection.reject_assignment(self.mturk_id, feedback=feedback)\\n self.update()\",\n \"def test_invalid_action(self):\\n\\n # Prepare.\\n app = self.factory()\\n request = self.getRequest(app)\\n context = model.factory()\\n\\n # Ask for permission.\\n state_changer = request.state_changer\\n self.assertFalse(state_changer.can_perform(context, a.COMPLETE))\\n\\n # Beg for forgiveness.\\n err = fysom.FysomError\\n self.assertRaises(err, state_changer.perform, context, a.COMPLETE, None)\",\n \"def on_buttonBox_rejected(self):\\n self.reject()\",\n \"def reject(self):\\n print \\\"This form has been rejected. Current state:\\\", self.state\",\n \"def serverReject(self):\\n self.handshake_deferred.errback(ConnectionDeny(code=403, reason=\\\"Access denied\\\"))\\n self.cleanup()\\n logger.debug(\\\"WebSocket %s rejected by application\\\", self.reply_channel)\\n self.factory.log_action(\\\"websocket\\\", \\\"rejected\\\", {\\n \\\"path\\\": self.request.path,\\n \\\"client\\\": \\\"%s:%s\\\" % tuple(self.client_addr) if self.client_addr else None,\\n })\",\n \"def test_revoke_inactive(self):\\n self.invite.active = False\\n self.invite.save()\\n url = reverse(\\n 'projectroles:api_invite_revoke',\\n kwargs={'projectinvite': self.invite.sodar_uuid},\\n )\\n response = self.request_knox(url, method='POST')\\n self.assertEqual(response.status_code, 400, msg=response.content)\",\n \"def unrescue(self, instance):\\n pass\",\n \"def denyMethod(self, verb, resource):\\n self._addMethod(\\\"Deny\\\", verb, resource, [])\",\n \"def cancel_instance(self, instance_id):\\r\\n return self.guest.deleteObject(id=instance_id)\",\n \"def unaccept_offer(self, pname, matchid):\\n msg = '%s declined the match' % (pname)\\n self._rem_offer(matchid, msg)\\n msg = '%s canceled the game' % (pname)\\n self._rem_game(matchid, msg)\",\n \"def _reject(self, reason):\\n log.error('Rejected: %s' % reason)\\n\\n self._remove_changes()\\n self._remove_files()\\n\\n if self.user is not None:\\n email = Email('importer_reject_maintainer')\\n package = self.changes.get('Source', '')\\n\\n self.send_email(email, [self.user.email], package=package, message=reason)\\n sys.exit(1)\",\n \"def Reject(self, request, global_params=None):\\n config = self.GetMethodConfig('Reject')\\n return self._RunMethod(\\n config, request, global_params=global_params)\",\n \"def reject(self):\\n self.skype.conn(\\\"PUT\\\", \\\"{0}/users/{1}/invites/8:{2}/decline\\\"\\n .format(SkypeConnection.API_CONTACTS, self.skype.userId, self.userId),\\n auth=SkypeConnection.Auth.SkypeToken)\",\n \"def test_disallow_betrayal(self):\\n s1 = self.battle.create_skirmish(self.alice, 1)\\n with self.assertRaises(db.TeamException):\\n s1.react(self.bob, 1, hinder=False)\\n\\n n = (self.sess.query(db.SkirmishAction).filter_by(parent_id=None).\\n filter_by(participant=self.alice)).count()\\n self.assertEqual(n, 1)\",\n \"def action_cancel(self):\\n self.state = 'canceled'\",\n \"def canceled(self):\\n self.reject()\",\n \"def effectOnMiss(self, user, target):\\n return self.stopCharge(user)\",\n \"def effectOnMiss(self, user, target):\\n return self.stopCharge(user)\",\n \"def reject_waiting_call(self) -> None:\",\n \"def reject(self, request, queryset):\\n\\n rejected_count = self.reject_stories(queryset)\\n self.message_user_results(request, rejected_count, 0, \\\"rejected\\\")\",\n \"def reject(self):\\r\\n QtGui.QDialog.reject(self)\",\n \"def test_bad_action(self):\\r\\n action = 'robot-not-an-action'\\r\\n url = reverse('bulk_beta_modify_access', kwargs={'course_id': self.course.id.to_deprecated_string()})\\r\\n response = self.client.get(url, {'identifiers': self.beta_tester.email, 'action': action})\\r\\n self.assertEqual(response.status_code, 400)\",\n \"def cancel(self):\\n self.succeeded = False\\n self.reject()\",\n \"def cancel(self):\\n self.succeeded = False\\n self.reject()\",\n \"def cancel(self):\\n self.succeeded = False\\n self.reject()\",\n \"def cancel(self):\\n self.succeeded = False\\n self.reject()\",\n \"def ignore(self):\\n self.accepted = False\",\n \"def ignore(self):\\n self.accepted = False\",\n \"def reject(request, pk=None):\\n # Check request is still valid or not\\n friend_request = get_or_none(FriendRequest, pk=pk)\\n # if request is not valid\\n if friend_request is None:\\n return Response({'status': '400', 'code': 'E_REQUEST_NOT_FOUND',\\n 'detail': code['E_REQUEST_NOT_FOUND']}, status=400)\\n # Delete request\\n friend_request.delete()\\n return Response({'status': '201', 'code': 'OK_REJECT_FRIEND_REQUEST',\\n 'detail': code['OK_REJECT_FRIEND_REQUEST']}, status=201)\",\n \"def cancel_action(self, ctxt, action_id):\\n action = action_mod.Action.load(self.db_session, action_id,\\n project_safe=False)\\n action.signal(action.SIG_CANCEL)\",\n \"def deny():\\n raise InterruptEvent\",\n \"def reject(self):\\n self.new_rom = None\\n self.new_reductor = None\",\n \"def deny(self, role, operation, resource, assertion=None):\\r\\n assert not role or role in self._roles\\r\\n assert not resource or resource in self._resources\\r\\n self._denied[role, operation, resource] = assertion\",\n \"def unblock(self):\\n data = {'container': self._reddit.user.me().fullname,\\n 'name': str(self), 'type': 'enemy'}\\n url = API_PATH['unfriend'].format(subreddit='all')\\n # PRAW5 REMOVE (return statement)\\n return self._reddit.post(url, data=data)\",\n \"def auto_reject(self, reason):\\n self.auto_rejection_reason = reason\\n self.reject(responder=None)\",\n \"def handle_rejected(self, m: Message) -> None:\\n if m.id == self.p_id:\\n self.rejected.add(m.src)\\n # If a majority of the Acceptors did return with REJECTED we reject it and start over.\\n if len(self.rejected) > len(self.sim.a) // 2:\\n self.handle_propose(m)\\n self.accepted = set()\\n self.rejected = set()\\n print(f'{self.sim.current_tick:04}: A{m.src.id} -> P{m.dst.id} {m.type} n={m.id}')\",\n \"def reject_user_application(self, user):\\n if self.is_moderator \\\\\\n and self.has_perm('accounts.reject_user_application'):\\n user.moderator = self\\n user.moderator_decision = user.REJECTED\\n user.decision_datetime = timezone.now()\\n user.save()\\n\\n return user\\n\\n else:\\n raise PermissionDenied\",\n \"def uncheck(self, roommate_instance):\\n if self.status == Item.PROCESSING_CODE and self.check_who == roommate_instance:\\n self.status = Item.UNCHECKED_CODE\\n self.check_who = None\\n else:\\n raise PermissionDenied\",\n \"async def reject_challenge(self, user_id, *, delay=0, lifespan=math.inf):\\n await self.user_command(\\n \\\"\\\", \\\"reject\\\", user_id, delay=delay, lifespan=lifespan\\n )\",\n \"async def deny(self, ctx: commands.Context, target: discord.Member):\\n try:\\n accepter = get(ctx.guild.roles, id=await self.config.guild(ctx.guild).accepter_id())\\n except TypeError:\\n accepter = None\\n if not accepter:\\n if not ctx.author.guild_permissions.administrator:\\n return await ctx.send(\\\"Uh oh, you cannot use this command.\\\")\\n else:\\n if accepter not in ctx.author.roles:\\n return await ctx.send(\\\"Uh oh, you cannot use this command.\\\")\\n try:\\n applicant = get(ctx.guild.roles, id=await self.config.guild(ctx.guild).applicant_id())\\n except TypeError:\\n applicant = None\\n if not applicant:\\n applicant = get(ctx.guild.roles, name=\\\"Staff Applicant\\\")\\n if not applicant:\\n return await ctx.send(\\n \\\"Uh oh, the configuration is not correct. Ask the Admins to set it.\\\"\\n )\\n if applicant in target.roles:\\n await ctx.send(\\\"Would you like to specify a reason? (yes/no)\\\")\\n pred = MessagePredicate.yes_or_no(ctx)\\n try:\\n await self.bot.wait_for(\\\"message\\\", timeout=30, check=pred)\\n except asyncio.TimeoutError:\\n return await ctx.send(\\\"You took too long. Try again, please.\\\")\\n if pred.result:\\n await ctx.send(\\\"Please, specify your reason now.\\\")\\n\\n def check(m):\\n return m.author == ctx.author\\n\\n try:\\n reason = await self.bot.wait_for(\\\"message\\\", timeout=120, check=check)\\n except asyncio.TimeoutError:\\n return await ctx.send(\\\"You took too long. Try again, please.\\\")\\n await target.send(\\n f\\\"Your application in {ctx.guild.name} has been denied.\\\\n*Reason:* {reason.content}\\\"\\n )\\n else:\\n await target.send(f\\\"Your application in {ctx.guild.name} has been denied.\\\")\\n await target.remove_roles(applicant)\\n await ctx.send(f\\\"Denied {target.mention}'s application.\\\")\\n else:\\n await ctx.send(f\\\"Uh oh. Looks like {target.mention} hasn't applied for anything.\\\")\",\n \"async def deny(self, ctx: commands.Context, target: discord.Member):\\n try:\\n accepter = get(ctx.guild.roles, id = await self.config.guild(ctx.guild).accepter_id())\\n except TypeError:\\n accepter = None\\n if not accepter:\\n if not ctx.author.guild_permissions.administrator:\\n return await ctx.send(\\\"Uh oh, you cannot use this command.\\\")\\n else:\\n if accepter not in ctx.author.roles:\\n return await ctx.send(\\\"Uh oh, you cannot use this command.\\\")\\n try:\\n applicant = get(ctx.guild.roles, id = await self.config.guild(ctx.guild).applicant_id())\\n except TypeError:\\n applicant = None\\n if not applicant:\\n applicant = get(ctx.guild.roles, name=\\\"Staff Applicant\\\")\\n if not applicant:\\n return await ctx.send(\\\"Uh oh, the configuration is not correct. Ask the Admins to set it.\\\")\\n if applicant in target.roles:\\n await ctx.send(\\\"Would you like to specify a reason? (yes/no)\\\")\\n pred = MessagePredicate.yes_or_no(ctx)\\n try:\\n await self.bot.wait_for(\\\"message\\\", timeout=30, check=pred)\\n except asyncio.TimeoutError:\\n return await ctx.send(\\\"You took too long. Try again, please.\\\")\\n if pred.result:\\n await ctx.send(\\\"Please, specify your reason now.\\\")\\n\\n def check(m):\\n return m.author == ctx.author\\n\\n try:\\n reason = await self.bot.wait_for(\\n \\\"message\\\", timeout=120, check=check\\n )\\n except asyncio.TimeoutError:\\n return await ctx.send(\\\"You took too long. Try again, please.\\\")\\n await target.send(\\n f\\\"Your application in {ctx.guild.name} has been denied.\\\\n*Reason:* {reason.content}\\\"\\n )\\n else:\\n await target.send(\\n f\\\"Your application in {ctx.guild.name} has been denied.\\\"\\n )\\n await target.remove_roles(applicant)\\n await ctx.send(f\\\"Denied {target.mention}'s application.\\\")\\n else:\\n await ctx.send(\\n f\\\"Uh oh. Looks like {target.mention} hasn't applied for anything.\\\"\\n )\",\n \"async def action_failed_button(self, payload: discord.RawReactionActionEvent) -> None:\\n\\n self.bits = flip_action_bits(LoggingActions.ACTION_FAILED, self.bits)\\n await self.update_embed()\",\n \"def on_reject(self, update, _context):\\n self.send_message(update.message.chat_id, c.MSG_THANKS_NOTHANKS)\",\n \"def handle_illegal_action(self, state, illegal_action):\\n #############################\\n #\\n #\\n # YOUR CODE HERE\\n #\\n #\\n #############################\\n print(\\\"An illegal action was attempted:\\\")\\n print('State: ' + str(state))\\n print('Action: ' + str(illegal_action))\\n\\n #self.game.set_state(,game.get_last_player())\",\n \"def test_invalid_action(self):\\n subject = self.subject(1, name='test_marker')\\n with self.assertRaises(NotImplementedError) as context:\\n subject.action\\n with self.assertRaises(NotImplementedError) as context:\\n subject.get_action_url()\",\n \"def make_eligible(self):\\n pass\",\n \"def test_reject_agreement(self):\\n pass\",\n \"def test_bad_action(self):\\n req = self.req(\\\"post\\\", \\\"/the/url\\\", data={\\\"action-bad\\\": \\\"3\\\"})\\n\\n res = self.view(req)\\n\\n self.assertEqual(self.mock_model._base_manager.get.call_count, 0)\\n self.assertEqual(res.status_code, 302)\",\n \"def unapprove(self):\\n self._check_if_open()\\n return super(BitbucketCloudBase, self).delete(\\\"approve\\\")\",\n \"def reject(self, text):\\n\\n RejectProposalCommand(self).execute()\\n proposal = self.load_model()\\n proposal.reject(text)\\n\\n with elevated_privileges():\\n api.content.delete(self)\",\n \"def cancel(self, membership, callback=None):\",\n \"def cancel(self):\",\n \"def cancel(self):\",\n \"def cancel(self):\",\n \"def test_canceled_unopposed(self):\\n s1 = self.battle.create_skirmish(self.alice, 10) # Attack 10\\n s1a = s1.react(self.bob, 8,\\n troop_type=\\\"cavalry\\\") # --Attack 8 (12)\\n s1a.react(self.alice, 6,\\n troop_type=\\\"ranged\\\") # ----Attack 6 (9)\\n s1.resolve()\\n self.assertEqual(s1.victor, self.alice.team)\\n self.assert_(s1.unopposed)\\n\\n # Should be 20 VP (double the 10 it'd ordinarily be worth)\\n self.assertEqual(s1.vp, 20)\",\n \"def test_not_unopposed(self):\\n s1 = self.battle.create_skirmish(self.alice, 2) # Attack 2\\n s1.react(self.bob, 1) # --Attack 1\\n s1.resolve()\\n self.assertFalse(s1.unopposed)\",\n \"def test_cmd_cs_subscription_bad_action(self):\\n bad_action = 'blahblah'\\n\\n result = self.runner.invoke(cli, ['subscription', bad_action])\\n assert f\\\"invalid choice: {bad_action}\\\" in result.output\\n assert result.exception\",\n \"def test_confirm_invalid_action(self):\\n headers = self._get_oauth_header()\\n # using delete but it doesn't matter if it's delete or add\\n res = self.client.delete('/v1/flow_requests/p_11111/', **headers)\\n confirm_id = res.json()['confirm_id']\\n callback_url = 'http://127.0.0.1/'\\n\\n self.client.login(username='duck', password='duck')\\n res = self.client.get('/v1/flow_requests/confirm/?confirm_id={}&callback_url={}&action=NOT_VALID'.format(\\n confirm_id, callback_url))\\n\\n self.assertEqual(res.status_code, 400)\\n self.assertEqual(res.content.decode('utf-8'), ERRORS_MESSAGE['UNKNOWN_ACTION'])\",\n \"def __call__(self,action=None):\\n raise NYI\",\n \"def rejectEvent(self, status):\\n\\t\\t# set all meta data to -1\\n\\t\\t[ self._setRejectMetadata(mdHead) for mdHead in self.__dict__.keys() if mdHead.startswith('md')==True ]\\n\\t\\t# set processing status to status\\n\\t\\tself.mdProcessingStatus=status\",\n \"def instance_action():\\n data = check_args(\\n ('cloudProvider', 'apiKey', 'secretKey', 'instanceAction',\\n 'instanceId')\\n )\\n job = jobs.instance_action.apply_async(args=(data,))\\n return make_response(job_id=job.id)\",\n \"def reject(self, other):\\n return self - self.project(other)\",\n \"async def rejected(error: Exception) -> Any:\\n raise error\",\n \"def stop_action(self, _id, block=True):\\n self._actions[_id].cancel()\\n if block:\\n self._workers[_id].join()\",\n \"def unable(self):\\n response.status = 400\\n return {'message':'current state does not allow modification'}\",\n \"def violate_rule(state, action):\\n if action in state:\\n return True\\n return False\",\n \"def reject_assignment(assignment, feedback):\\n client.reject_assignment(\\n AssignmentId=assignment['AssignmentId'],\\n RequesterFeedback=feedback\\n )\\n # with session_scope() as session:\\n # qualification = (\\n # session.query(Qualification)\\n # .filter(Qualification.short_name == 'bad-worker')\\n # .one()\\n # )\\n # qualification_type_id = qualification.qualification_type_id\\n # client.associate_qualification_with_worker(\\n # QualificationTypeId=qualification_type_id,\\n # WorkerId=assignment['WorkerId'],\\n # IntegerValue=1,\\n # SendNotification=False\\n # )\",\n \"def test_patch_not_allowed(self, parse_args):\\n parse_args.side_effect = [{\\n _ATTEMPT.attempt_id: 'forbidden'\\n }, {\\n _ATTEMPT.run_id: 'forbidden'\\n }]\\n _, err = self.resource.patch(self.attempts[1][_ATTEMPT.attempt_id])\\n self.assertEqual(403, err)\",\n \"async def stop(self, message: str = 'Discarded Audit Actions Changes.') -> None:\\n\\n await self.ctx.send(message)\\n super().stop()\",\n \"def exceptcancommand(self, module, command):\\n self._exceptcancommand(module, command)\",\n \"def stop(self, *args, **kwargs):\\n return self(AbilityId.STOP, *args, **kwargs)\",\n \"def potential_action(self) -> object:\\n return self._potential_action\",\n \"def test_disallow_fighting_retreat(self):\\n londo = self.get_region(\\\"Orange Londo\\\")\\n self.alice.move(100, londo, 60 * 60 * 24)\\n\\n with self.assertRaises(db.InProgressException):\\n self.battle.create_skirmish(self.alice, 1)\",\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 invalid(self, state):\\n log(\\\"current state '{0}' cannot process event '{1}'\\\".format(state.name, self.name))\",\n \"def unregister(self):\\n idaapi.unregister_action(self.get_name())\",\n \"def accept_cancel(self):\\n self.ok = False\\n self.destroy()\",\n \"def test_unpause_server_fails_as_user(self):\\n with self.assertRaises(Forbidden):\\n self.servers_client.unpause_server(self.server.id)\",\n \"def test_failing_action(self):\\n dummy_calls = []\\n\\n self.ch_core.hookenv.action_fail.side_effect = dummy_calls.append\\n\\n def dummy_action(args):\\n raise ValueError('uh oh')\\n\\n with mock.patch.dict(actions.ACTIONS, {'foo': dummy_action}):\\n actions.main(['foo'])\\n self.assertEqual(dummy_calls, ['Action \\\"foo\\\" failed: \\\"uh oh\\\"'])\",\n \"def test_bad_action(self):\\r\\n action = 'robot-not-an-action'\\r\\n url = reverse('students_update_enrollment', kwargs={'course_id': self.course.id.to_deprecated_string()})\\r\\n response = self.client.get(url, {'identifiers': self.enrolled_student.email, 'action': action})\\r\\n self.assertEqual(response.status_code, 400)\",\n \"def reject(self):\\n pars = self.params\\n if filters.startracker_lost(pars):\\n return \\\"Alert occurred while Swift star-tracker had lost lock.\\\"\\n\\n # if not filters.grb_identified(pars):\\n # if filters.tgt_in_ground_cat(pars) or filters.tgt_in_flight_cat(pars):\\n # return \\\"Not a GRB - target associated with known catalog source\\\"\\n # else:\\n # return \\\"\\\"\\\"Not identified as GRB, but not a known source.\\n # See packet for further details.\\\"\\\"\\\"\\n return None\",\n \"def denyMethodWithConditions(self, verb, resource, conditions):\\n self._addMethod(\\\"Deny\\\", verb, resource, conditions)\",\n \"def on_cancel(self):\\n self.state = CANCELED\\n self._reject()\",\n \"def _confirm_action(self, action):\\n\\t\\treturn True\",\n \"def deny(cls, id):\\n q = {'_id': id}\\n Database.delete_one(collection='pending_trailers', query=q)\",\n \"def reject_mission(self, missionId):\\n print('Rejecting mission', missionId, 'for aircraft', self.id);\\n self.pendingMissions.remove(missionId)\\n if self.outputBackupFile is not None:\\n with open(self.outputBackupFile, \\\"ab\\\") as f:\\n pickle.dump({'pendingMissions' : self.pendingMissions}, f)\\n self.pending_missions_updated(\\n {'event': 'rejected', 'mission': self.missions[missionId]})\",\n \"def should_not(self):\\n return Target(self.case, self.subject, True)\",\n \"def confirmation_failed(self):\",\n \"def message_user_failure(self, request, count, action):\\n\\n message_bit = self._get_message_bit(count)\\n level = messages.ERROR\\n message = \\\"%s could not be %s.\\\" % (message_bit, action)\\n self.message_user(request, message, level=level)\",\n \"def canCancel(self) -> bool:\\n ...\",\n \"def canCancel(self) -> bool:\\n ...\",\n \"def canCancel(self) -> bool:\\n ...\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.7002768","0.64793044","0.6412309","0.6220728","0.6187695","0.6176384","0.6163549","0.6141075","0.61121845","0.6057996","0.603861","0.598698","0.5980348","0.5910807","0.5905218","0.5896408","0.5850485","0.584049","0.58146614","0.5792201","0.5752381","0.57500666","0.5734637","0.57229143","0.5707225","0.5707225","0.56880903","0.56741357","0.56712496","0.5663944","0.5630625","0.5630625","0.5630625","0.5630625","0.56290627","0.56290627","0.5602528","0.5592074","0.5558497","0.5554774","0.5548741","0.55358374","0.5514218","0.5510922","0.55071545","0.55016327","0.54827154","0.54803824","0.54775923","0.54736215","0.5472002","0.5467775","0.54563355","0.5427399","0.5390744","0.53764653","0.53689826","0.5362864","0.53624976","0.5361332","0.5361332","0.5361332","0.5355342","0.53495055","0.5348805","0.53467834","0.53275275","0.53275204","0.5321577","0.530639","0.5301868","0.52843904","0.5273237","0.5272386","0.5256974","0.5255705","0.52550185","0.5252368","0.52483803","0.52483267","0.5245716","0.5234533","0.5233985","0.5217206","0.52159077","0.5209548","0.51897776","0.5187167","0.51813924","0.5179218","0.51735747","0.516453","0.5157905","0.51549304","0.51530015","0.5151919","0.5145912","0.51321006","0.51321006","0.51321006"],"string":"[\n \"0.7002768\",\n \"0.64793044\",\n \"0.6412309\",\n \"0.6220728\",\n \"0.6187695\",\n \"0.6176384\",\n \"0.6163549\",\n \"0.6141075\",\n \"0.61121845\",\n \"0.6057996\",\n \"0.603861\",\n \"0.598698\",\n \"0.5980348\",\n \"0.5910807\",\n \"0.5905218\",\n \"0.5896408\",\n \"0.5850485\",\n \"0.584049\",\n \"0.58146614\",\n \"0.5792201\",\n \"0.5752381\",\n \"0.57500666\",\n \"0.5734637\",\n \"0.57229143\",\n \"0.5707225\",\n \"0.5707225\",\n \"0.56880903\",\n \"0.56741357\",\n \"0.56712496\",\n \"0.5663944\",\n \"0.5630625\",\n \"0.5630625\",\n \"0.5630625\",\n \"0.5630625\",\n \"0.56290627\",\n \"0.56290627\",\n \"0.5602528\",\n \"0.5592074\",\n \"0.5558497\",\n \"0.5554774\",\n \"0.5548741\",\n \"0.55358374\",\n \"0.5514218\",\n \"0.5510922\",\n \"0.55071545\",\n \"0.55016327\",\n \"0.54827154\",\n \"0.54803824\",\n \"0.54775923\",\n \"0.54736215\",\n \"0.5472002\",\n \"0.5467775\",\n \"0.54563355\",\n \"0.5427399\",\n \"0.5390744\",\n \"0.53764653\",\n \"0.53689826\",\n \"0.5362864\",\n \"0.53624976\",\n \"0.5361332\",\n \"0.5361332\",\n \"0.5361332\",\n \"0.5355342\",\n \"0.53495055\",\n \"0.5348805\",\n \"0.53467834\",\n \"0.53275275\",\n \"0.53275204\",\n \"0.5321577\",\n \"0.530639\",\n \"0.5301868\",\n \"0.52843904\",\n \"0.5273237\",\n \"0.5272386\",\n \"0.5256974\",\n \"0.5255705\",\n \"0.52550185\",\n \"0.5252368\",\n \"0.52483803\",\n \"0.52483267\",\n \"0.5245716\",\n \"0.5234533\",\n \"0.5233985\",\n \"0.5217206\",\n \"0.52159077\",\n \"0.5209548\",\n \"0.51897776\",\n \"0.5187167\",\n \"0.51813924\",\n \"0.5179218\",\n \"0.51735747\",\n \"0.516453\",\n \"0.5157905\",\n \"0.51549304\",\n \"0.51530015\",\n \"0.5151919\",\n \"0.5145912\",\n \"0.51321006\",\n \"0.51321006\",\n \"0.51321006\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.702213"},"document_rank":{"kind":"string","value":"0"}}},{"rowIdx":20482,"cells":{"query":{"kind":"string","value":"Register for instance state change notifications"},"document":{"kind":"string","value":"def nfvi_register_instance_state_change_callback(callback):\n _compute_plugin.invoke_plugin('register_instance_state_change_callback',\n callback=callback)"},"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 register_observers_with_gamestate(self):","def notify_observers(self, new_gamestate) -> None:","def notify_subscribers(self, instance, domain, state=None):\n if not self.notifier:\n return\n\n if not state:\n state = instance.state\n\n tups = domain.get_subscribers()\n for subscriber_name, subscriber_op in tups:\n properties = {'hostname': instance.public_ip}\n content = {'node_id': instance.instance_id, 'state': state,\n 'domain_id': domain.domain_id,\n 'properties': properties}\n self.notifier.notify_by_name(subscriber_name, subscriber_op, content)","def notifyObservers(self):","def StatusChanged(self, state, info):\n pass","def on_register(cls):","def state_changed(self, oldstate, newstate, event, *args, **kwargs):","def state_changed(self, oldstate, newstate, event, *args, **kwargs):","def on_notify(self, name):\r\n pass","def register_instance(self, instance):\n self.instance = instance","def _notify_observers(self):\n for observer in self.observers:\n observer.notify(self.game_state)","def post_init_callback(sender, **kwargs):\r\n instance = kwargs['instance']\r\n instance.orig_state = instance.state","def __init__(self):\n _subscribe_marked_events(self)","def start_notify(self, on_change):\n raise NotImplementedError","def _instance_changed_handler ( self, name, old, new ):\n arg_lists = self._get_instance_handlers( name )\n\n if old is not None:\n for args in arg_lists:\n old.on_trait_change( remove = True, *args )\n\n if new is not None:\n for args in arg_lists:\n new.on_trait_change( *args )","def notify(self):\n if self.has_changed:\n event = self.event_factory(self.resource, registry=self.registry, schema=self.schema,\n changed=self.changed)\n self.registry.notify(event)","def update_state(self):\n for listener in self.listeners:\n listener['callback']()","def stream_state_changed(self,state,arg):\n pass","def notify_started(self):\n raise NotImplementedError","def on_state_notification(self, data):\n\n self.channel_data.update(data)\n\n # synchronize DataManager data with processed update & entity data\n self.sync_data_update_ha()","def notify_change(self, change):\n # Send the state to the frontend before the user-registered callbacks\n # are called.\n name = change['name']\n if self.comm is not None and getattr(self.comm, 'kernel', True) is not None:\n # Make sure this isn't information that the front-end just sent us.\n if name in self.keys and self._should_send_property(name, getattr(self, name)):\n # Send new state to front-end\n self.send_state(key=name)\n super().notify_change(change)","def __state_listener(self, state):\r\n with self.__queue_lock:\r\n self.__state = state\r\n self.__listener_queue, triggered = partition(self.__listener_queue,\r\n lambda element: element[0] == state)\r\n for _, callback in triggered:\r\n callback()","def onUpdated(self):","def onRegister(self):\n pass","def onRegister(self):\n pass","def add_listener(self, callback, state_changes=[\"stopped\"]):\n self.listeners.append({\"callback\": callback, \"state_changes\": state_changes})","def __init__(self, instance, created, signal_type):\n\n self.instance = instance\n self.created = created\n self.signal_type = signal_type","def on_watch(self, payload):\n pass","def __setstate__(self, state):\n # Restore instance attributes\n try: \n obj = Thing.ID_dict[state['id']] # is this obj already in dict?\n dbg.debug(\"Note: %s already in Thing.ID_dict, maps to %s\" % (state['id'], obj))\n except KeyError: # Not already in dict\n Thing.ID_dict[state['id']] = self\n if 'has_beat' in state:\n Thing.game.register_heartbeat(self)\n self.__dict__.update(state)","def notify(self, event):\n raise NotImplementedError","def watch(self):","def events(self):","def _update_on_active(self):\n pass","def __init__(self):\r\n self.observers = {}","def sync_state_changed(self, state):\n return","def on_start(self):\n self.state = STARTED","def nfvi_register_instance_action_change_callback(callback):\n _compute_plugin.invoke_plugin('register_instance_action_change_callback',\n callback=callback)","def shiftr_event_listener(event):\n state = event.data.get(\"new_state\")\n topic = state.entity_id.replace(\".\", \"/\")\n\n try:\n _state = state_helper.state_as_number(state)\n except ValueError:\n _state = state.state\n\n try:\n mqttc.publish(topic, _state, qos=0, retain=False)\n\n if state.attributes:\n for attribute, data in state.attributes.items():\n mqttc.publish(\n f\"/{topic}/{attribute}\", str(data), qos=0, retain=False\n )\n except RuntimeError:\n pass","def monitor(self):","def instance_properties(self, instance_properties):\n\n self._instance_properties = instance_properties","def on_activate(self) -> None:","def has_state_changed(self) -> bool:\r\n ...","def initiate_dev_state_notifications(self):\n\t\treturn Job(SDK.PrlVm_InitiateDevStateNotifications(self.handle)[0])","def on_add(self):\n self.notify(on_add())","def __init__(\n self,\n cb: CircuitBreaker,\n prev_state: CircuitBreakerState | None = None,\n notify: bool = False,\n ) -> None:\n super().__init__(cb, STATE_OPEN)\n if notify:\n for listener in self._breaker.listeners:\n listener.state_change(self._breaker, prev_state, self)","def __init__(self):\n self.events = {}\n self.eventmatchers = {}\n self.alive = True","def observe_model_modification(\n sender: type, instance: Model, created: bool = False, **kwargs\n):\n if isinstance(instance, Observable):\n if created:\n handle_permission_change(instance)\n elif not getattr(instance, suppress_notifications_attribute, False):\n Observer.observe_instance_changes(instance, ChangeType.UPDATE)\n Observer.observe_instance_container(instance, ChangeType.UPDATE)","def test_update_instances_schedule_state(self):\n pass","def update_instigator_state(self, state: InstigatorState):","def on_state_change(self, new_state):\n self.state = new_state","def notify(self, path, state):\n pass","def _on_status_change(\n self, entity: Union[str, dict], attribute: str, old: str, new: str, kwargs: dict\n ) -> None:\n if self.enabled and new == self.app.States.clean.value:\n self._start_notification_cycle()\n elif old == self.app.States.clean.value:\n self._cancel_notification_cycle()","def monitor_instance(self, instance_id):\r\n return self.monitor_instances([instance_id])","def zk_state_listener(state):\n if state == KazooState.CONNECTED:\n persistent_create_server_node = retry_data_watch_coroutine(\n server_node, create_server_node)\n IOLoop.instance().add_callback(persistent_create_server_node)","def notify(self) -> None:\n pass","def notify(self) -> None:\n pass","def on_activate(self):","def registered(self):\n log.info(\"Registered.\")\n pass","def instance(self, instance):\n self._instance = instance","def update_notebook_instance_lifecycle_config(NotebookInstanceLifecycleConfigName=None, OnCreate=None, OnStart=None):\n pass","def monitor(self, s):\n raise NotImplementedError()","def setup(self, event, old_state):\n pass","def watch(self):\n raise NotImplementedError()","def _post_init(self, instance, **kwargs):\n self._cache_state(instance)","def servicesChanged(self) -> None:\n ...","def __init__(self, *args, **kwargs):\n self.events = {}","def registration_started(self):\n pass","def update(self):\n\n self.check_events()","def __init__(self):\n self._listeners = []","def __init__(self):\n self.event_list = []\n self._subscribers = set()","def __init__(self):\n self.update_state()","def start_monitoring(self):\n pass","def notified(self, notified):\n\n self._notified = notified","def update_callback(self):\n self.schedule_update_ha_state(True)","def update_callback(self):\n self.schedule_update_ha_state(True)","def listener(self, proxy, changed_properties, invalidated_properties):\n metadata = changed_properties.lookup_value('Metadata')\n # do not signal if the metadata is empty\n self.process_metadata(metadata, False)","def test_get_instance_state(self):\r\n self.peer_grading.get_instance_state()","def post_run_hook(self, instance, status):\n instance.log_lifecycle(\"post_run\")","def __init__(self):\n self.__observers=[]","def __setstate__(self, state):\n for i, j in state.items():\n setattr(self, i, j)\n self.describer_model = _load_model(self.name)","def __setstate__(self, state):\n for i, j in state.items():\n setattr(self, i, j)\n self.describer_model = _load_model(self.name)","def add_instigator_state(self, state: InstigatorState):","def monitor_behavior_status(self):\n self._flexbe_status_subscriber = rospy.Subscriber('/flexbe/status', BEStatus, self.callback_flexbe_status)","def listen_for_new_updates(event):\n\n if event.retval:\n news_indicator.create_and_update_menu(event.retval)\n if NewsIndicator.notifications:\n show_notifications(event.scheduled_run_time)\n Gtk.main()","def notify(self, data):\n\n if 'personId' in data.keys():\n person_id = data['personId']\n if data['type'] == EventTimeLine.PERSON_CREATION:\n self._registry[person_id] = {\n 'name': data['name'],\n 'address': data['address'],\n 'status': data['status'],\n 'version': 1\n }\n\n if data['type'] == EventTimeLine.PERSON_STATUS_CHANGE:\n p = self._registry[person_id]\n p['status'] = data['newStatus']\n p['version'] += 1\n\n if data['type'] == EventTimeLine.PERSON_MOVE:\n p = self._registry[person_id]\n p['address'] = data['newAddress']\n p['version'] += 1","def setState(self, newstate) :\n if self.state != newstate :\n self.state=newstate\n for gate in self.notifyList:\n gate.notify()","def subscribe(observer):","def subscribe(observer):","def handle_state_change(self, entity, attribute, old, new, kwargs):\n self.log(\"Sensor notify gate state change reported on {} from {} to {}\".format(self._gate, old, new))\n if self._allow_monitor_control:\n if new == \"on\":\n self._monitor.enable_function()\n elif new == \"off\":\n self._monitor.set_function_state('None')\n # if user manually turns off notify gate, then should clear squelch\n # otherwise notify gate will be turned back on with timer expires\n # self.reset_squelch()\n else:\n self.log(\"ERROR: unexpected state change to {}\".format(new))\n self._current_gate_state = new","def on_registered(self):\r\n super().on_registered()\r\n\r\n # Register type information\r\n cls = self.__class__\r\n\r\n subclass_cache = cls._of_subclass_cache\r\n type_cache = cls._of_type_cache\r\n\r\n # Cache subtypes\r\n for base_cls in cls.__mro__:\r\n try:\r\n instances = subclass_cache[base_cls]\r\n\r\n except KeyError:\r\n instances = subclass_cache[base_cls] = set()\r\n\r\n instances.add(self)\r\n\r\n # Cache the type\r\n try:\r\n instances = type_cache[cls]\r\n\r\n except KeyError:\r\n instances = type_cache[cls] = set()\r\n\r\n instances.add(self)\r\n\r\n ReplicableRegisteredSignal.invoke(target=self)","def register_signals(self):\n logging.debug(\"BigQuery class created and registering signals\")","def on_update(self, **kwargs):\n self.get_client()\n self.update(self, kwargs['sender'], kwargs['instance'])","def state_changed(self, old_state, new_state, target_state):\n pass","def stream_status_event(self, event):\r\n pass","def set_instance(self, instance):\n self.instance = instance","def set_instance(self, instance):\n self.instance = instance","def set_instance(self, instance):\n self.instance = instance","def set_instance(self, instance):\n self.instance = instance","def set_instance(self, instance):\n self.instance = instance","def notifyMetaChanged(self, function, **kwargs):\n\n self._sig_changed.subscribe(function, **kwargs)"],"string":"[\n \"def register_observers_with_gamestate(self):\",\n \"def notify_observers(self, new_gamestate) -> None:\",\n \"def notify_subscribers(self, instance, domain, state=None):\\n if not self.notifier:\\n return\\n\\n if not state:\\n state = instance.state\\n\\n tups = domain.get_subscribers()\\n for subscriber_name, subscriber_op in tups:\\n properties = {'hostname': instance.public_ip}\\n content = {'node_id': instance.instance_id, 'state': state,\\n 'domain_id': domain.domain_id,\\n 'properties': properties}\\n self.notifier.notify_by_name(subscriber_name, subscriber_op, content)\",\n \"def notifyObservers(self):\",\n \"def StatusChanged(self, state, info):\\n pass\",\n \"def on_register(cls):\",\n \"def state_changed(self, oldstate, newstate, event, *args, **kwargs):\",\n \"def state_changed(self, oldstate, newstate, event, *args, **kwargs):\",\n \"def on_notify(self, name):\\r\\n pass\",\n \"def register_instance(self, instance):\\n self.instance = instance\",\n \"def _notify_observers(self):\\n for observer in self.observers:\\n observer.notify(self.game_state)\",\n \"def post_init_callback(sender, **kwargs):\\r\\n instance = kwargs['instance']\\r\\n instance.orig_state = instance.state\",\n \"def __init__(self):\\n _subscribe_marked_events(self)\",\n \"def start_notify(self, on_change):\\n raise NotImplementedError\",\n \"def _instance_changed_handler ( self, name, old, new ):\\n arg_lists = self._get_instance_handlers( name )\\n\\n if old is not None:\\n for args in arg_lists:\\n old.on_trait_change( remove = True, *args )\\n\\n if new is not None:\\n for args in arg_lists:\\n new.on_trait_change( *args )\",\n \"def notify(self):\\n if self.has_changed:\\n event = self.event_factory(self.resource, registry=self.registry, schema=self.schema,\\n changed=self.changed)\\n self.registry.notify(event)\",\n \"def update_state(self):\\n for listener in self.listeners:\\n listener['callback']()\",\n \"def stream_state_changed(self,state,arg):\\n pass\",\n \"def notify_started(self):\\n raise NotImplementedError\",\n \"def on_state_notification(self, data):\\n\\n self.channel_data.update(data)\\n\\n # synchronize DataManager data with processed update & entity data\\n self.sync_data_update_ha()\",\n \"def notify_change(self, change):\\n # Send the state to the frontend before the user-registered callbacks\\n # are called.\\n name = change['name']\\n if self.comm is not None and getattr(self.comm, 'kernel', True) is not None:\\n # Make sure this isn't information that the front-end just sent us.\\n if name in self.keys and self._should_send_property(name, getattr(self, name)):\\n # Send new state to front-end\\n self.send_state(key=name)\\n super().notify_change(change)\",\n \"def __state_listener(self, state):\\r\\n with self.__queue_lock:\\r\\n self.__state = state\\r\\n self.__listener_queue, triggered = partition(self.__listener_queue,\\r\\n lambda element: element[0] == state)\\r\\n for _, callback in triggered:\\r\\n callback()\",\n \"def onUpdated(self):\",\n \"def onRegister(self):\\n pass\",\n \"def onRegister(self):\\n pass\",\n \"def add_listener(self, callback, state_changes=[\\\"stopped\\\"]):\\n self.listeners.append({\\\"callback\\\": callback, \\\"state_changes\\\": state_changes})\",\n \"def __init__(self, instance, created, signal_type):\\n\\n self.instance = instance\\n self.created = created\\n self.signal_type = signal_type\",\n \"def on_watch(self, payload):\\n pass\",\n \"def __setstate__(self, state):\\n # Restore instance attributes\\n try: \\n obj = Thing.ID_dict[state['id']] # is this obj already in dict?\\n dbg.debug(\\\"Note: %s already in Thing.ID_dict, maps to %s\\\" % (state['id'], obj))\\n except KeyError: # Not already in dict\\n Thing.ID_dict[state['id']] = self\\n if 'has_beat' in state:\\n Thing.game.register_heartbeat(self)\\n self.__dict__.update(state)\",\n \"def notify(self, event):\\n raise NotImplementedError\",\n \"def watch(self):\",\n \"def events(self):\",\n \"def _update_on_active(self):\\n pass\",\n \"def __init__(self):\\r\\n self.observers = {}\",\n \"def sync_state_changed(self, state):\\n return\",\n \"def on_start(self):\\n self.state = STARTED\",\n \"def nfvi_register_instance_action_change_callback(callback):\\n _compute_plugin.invoke_plugin('register_instance_action_change_callback',\\n callback=callback)\",\n \"def shiftr_event_listener(event):\\n state = event.data.get(\\\"new_state\\\")\\n topic = state.entity_id.replace(\\\".\\\", \\\"/\\\")\\n\\n try:\\n _state = state_helper.state_as_number(state)\\n except ValueError:\\n _state = state.state\\n\\n try:\\n mqttc.publish(topic, _state, qos=0, retain=False)\\n\\n if state.attributes:\\n for attribute, data in state.attributes.items():\\n mqttc.publish(\\n f\\\"/{topic}/{attribute}\\\", str(data), qos=0, retain=False\\n )\\n except RuntimeError:\\n pass\",\n \"def monitor(self):\",\n \"def instance_properties(self, instance_properties):\\n\\n self._instance_properties = instance_properties\",\n \"def on_activate(self) -> None:\",\n \"def has_state_changed(self) -> bool:\\r\\n ...\",\n \"def initiate_dev_state_notifications(self):\\n\\t\\treturn Job(SDK.PrlVm_InitiateDevStateNotifications(self.handle)[0])\",\n \"def on_add(self):\\n self.notify(on_add())\",\n \"def __init__(\\n self,\\n cb: CircuitBreaker,\\n prev_state: CircuitBreakerState | None = None,\\n notify: bool = False,\\n ) -> None:\\n super().__init__(cb, STATE_OPEN)\\n if notify:\\n for listener in self._breaker.listeners:\\n listener.state_change(self._breaker, prev_state, self)\",\n \"def __init__(self):\\n self.events = {}\\n self.eventmatchers = {}\\n self.alive = True\",\n \"def observe_model_modification(\\n sender: type, instance: Model, created: bool = False, **kwargs\\n):\\n if isinstance(instance, Observable):\\n if created:\\n handle_permission_change(instance)\\n elif not getattr(instance, suppress_notifications_attribute, False):\\n Observer.observe_instance_changes(instance, ChangeType.UPDATE)\\n Observer.observe_instance_container(instance, ChangeType.UPDATE)\",\n \"def test_update_instances_schedule_state(self):\\n pass\",\n \"def update_instigator_state(self, state: InstigatorState):\",\n \"def on_state_change(self, new_state):\\n self.state = new_state\",\n \"def notify(self, path, state):\\n pass\",\n \"def _on_status_change(\\n self, entity: Union[str, dict], attribute: str, old: str, new: str, kwargs: dict\\n ) -> None:\\n if self.enabled and new == self.app.States.clean.value:\\n self._start_notification_cycle()\\n elif old == self.app.States.clean.value:\\n self._cancel_notification_cycle()\",\n \"def monitor_instance(self, instance_id):\\r\\n return self.monitor_instances([instance_id])\",\n \"def zk_state_listener(state):\\n if state == KazooState.CONNECTED:\\n persistent_create_server_node = retry_data_watch_coroutine(\\n server_node, create_server_node)\\n IOLoop.instance().add_callback(persistent_create_server_node)\",\n \"def notify(self) -> None:\\n pass\",\n \"def notify(self) -> None:\\n pass\",\n \"def on_activate(self):\",\n \"def registered(self):\\n log.info(\\\"Registered.\\\")\\n pass\",\n \"def instance(self, instance):\\n self._instance = instance\",\n \"def update_notebook_instance_lifecycle_config(NotebookInstanceLifecycleConfigName=None, OnCreate=None, OnStart=None):\\n pass\",\n \"def monitor(self, s):\\n raise NotImplementedError()\",\n \"def setup(self, event, old_state):\\n pass\",\n \"def watch(self):\\n raise NotImplementedError()\",\n \"def _post_init(self, instance, **kwargs):\\n self._cache_state(instance)\",\n \"def servicesChanged(self) -> None:\\n ...\",\n \"def __init__(self, *args, **kwargs):\\n self.events = {}\",\n \"def registration_started(self):\\n pass\",\n \"def update(self):\\n\\n self.check_events()\",\n \"def __init__(self):\\n self._listeners = []\",\n \"def __init__(self):\\n self.event_list = []\\n self._subscribers = set()\",\n \"def __init__(self):\\n self.update_state()\",\n \"def start_monitoring(self):\\n pass\",\n \"def notified(self, notified):\\n\\n self._notified = notified\",\n \"def update_callback(self):\\n self.schedule_update_ha_state(True)\",\n \"def update_callback(self):\\n self.schedule_update_ha_state(True)\",\n \"def listener(self, proxy, changed_properties, invalidated_properties):\\n metadata = changed_properties.lookup_value('Metadata')\\n # do not signal if the metadata is empty\\n self.process_metadata(metadata, False)\",\n \"def test_get_instance_state(self):\\r\\n self.peer_grading.get_instance_state()\",\n \"def post_run_hook(self, instance, status):\\n instance.log_lifecycle(\\\"post_run\\\")\",\n \"def __init__(self):\\n self.__observers=[]\",\n \"def __setstate__(self, state):\\n for i, j in state.items():\\n setattr(self, i, j)\\n self.describer_model = _load_model(self.name)\",\n \"def __setstate__(self, state):\\n for i, j in state.items():\\n setattr(self, i, j)\\n self.describer_model = _load_model(self.name)\",\n \"def add_instigator_state(self, state: InstigatorState):\",\n \"def monitor_behavior_status(self):\\n self._flexbe_status_subscriber = rospy.Subscriber('/flexbe/status', BEStatus, self.callback_flexbe_status)\",\n \"def listen_for_new_updates(event):\\n\\n if event.retval:\\n news_indicator.create_and_update_menu(event.retval)\\n if NewsIndicator.notifications:\\n show_notifications(event.scheduled_run_time)\\n Gtk.main()\",\n \"def notify(self, data):\\n\\n if 'personId' in data.keys():\\n person_id = data['personId']\\n if data['type'] == EventTimeLine.PERSON_CREATION:\\n self._registry[person_id] = {\\n 'name': data['name'],\\n 'address': data['address'],\\n 'status': data['status'],\\n 'version': 1\\n }\\n\\n if data['type'] == EventTimeLine.PERSON_STATUS_CHANGE:\\n p = self._registry[person_id]\\n p['status'] = data['newStatus']\\n p['version'] += 1\\n\\n if data['type'] == EventTimeLine.PERSON_MOVE:\\n p = self._registry[person_id]\\n p['address'] = data['newAddress']\\n p['version'] += 1\",\n \"def setState(self, newstate) :\\n if self.state != newstate :\\n self.state=newstate\\n for gate in self.notifyList:\\n gate.notify()\",\n \"def subscribe(observer):\",\n \"def subscribe(observer):\",\n \"def handle_state_change(self, entity, attribute, old, new, kwargs):\\n self.log(\\\"Sensor notify gate state change reported on {} from {} to {}\\\".format(self._gate, old, new))\\n if self._allow_monitor_control:\\n if new == \\\"on\\\":\\n self._monitor.enable_function()\\n elif new == \\\"off\\\":\\n self._monitor.set_function_state('None')\\n # if user manually turns off notify gate, then should clear squelch\\n # otherwise notify gate will be turned back on with timer expires\\n # self.reset_squelch()\\n else:\\n self.log(\\\"ERROR: unexpected state change to {}\\\".format(new))\\n self._current_gate_state = new\",\n \"def on_registered(self):\\r\\n super().on_registered()\\r\\n\\r\\n # Register type information\\r\\n cls = self.__class__\\r\\n\\r\\n subclass_cache = cls._of_subclass_cache\\r\\n type_cache = cls._of_type_cache\\r\\n\\r\\n # Cache subtypes\\r\\n for base_cls in cls.__mro__:\\r\\n try:\\r\\n instances = subclass_cache[base_cls]\\r\\n\\r\\n except KeyError:\\r\\n instances = subclass_cache[base_cls] = set()\\r\\n\\r\\n instances.add(self)\\r\\n\\r\\n # Cache the type\\r\\n try:\\r\\n instances = type_cache[cls]\\r\\n\\r\\n except KeyError:\\r\\n instances = type_cache[cls] = set()\\r\\n\\r\\n instances.add(self)\\r\\n\\r\\n ReplicableRegisteredSignal.invoke(target=self)\",\n \"def register_signals(self):\\n logging.debug(\\\"BigQuery class created and registering signals\\\")\",\n \"def on_update(self, **kwargs):\\n self.get_client()\\n self.update(self, kwargs['sender'], kwargs['instance'])\",\n \"def state_changed(self, old_state, new_state, target_state):\\n pass\",\n \"def stream_status_event(self, event):\\r\\n pass\",\n \"def set_instance(self, instance):\\n self.instance = instance\",\n \"def set_instance(self, instance):\\n self.instance = instance\",\n \"def set_instance(self, instance):\\n self.instance = instance\",\n \"def set_instance(self, instance):\\n self.instance = instance\",\n \"def set_instance(self, instance):\\n self.instance = instance\",\n \"def notifyMetaChanged(self, function, **kwargs):\\n\\n self._sig_changed.subscribe(function, **kwargs)\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.69005334","0.66444683","0.6622507","0.6244537","0.6179251","0.6133368","0.6045187","0.6045187","0.59814507","0.59618044","0.58827865","0.58645016","0.5827011","0.58014655","0.5761547","0.5753698","0.56954235","0.5668303","0.5618803","0.55411404","0.5514678","0.55112827","0.5493548","0.54902774","0.54902774","0.5488089","0.5475801","0.54572475","0.5454777","0.54440653","0.5442891","0.5428819","0.54280406","0.5426076","0.542229","0.5414114","0.54063797","0.53933096","0.53887904","0.5353023","0.5352172","0.5350727","0.53404623","0.53320265","0.5325911","0.53143287","0.53077596","0.5294656","0.52923286","0.5288479","0.5278901","0.52781576","0.5276853","0.52735776","0.5272147","0.5272147","0.5268954","0.52592695","0.5252086","0.52503926","0.5246777","0.5242505","0.52277523","0.5200116","0.51922125","0.5169699","0.51524234","0.5144564","0.5140932","0.51401794","0.5134442","0.51244986","0.51200825","0.51146615","0.51146615","0.5104447","0.5102964","0.5102398","0.50970787","0.5092632","0.5092632","0.50922036","0.5091044","0.50863963","0.50848573","0.50843614","0.50827855","0.50827855","0.5082229","0.5080362","0.50789356","0.5075301","0.5074305","0.50741136","0.50730157","0.50730157","0.50730157","0.50730157","0.50730157","0.50715667"],"string":"[\n \"0.69005334\",\n \"0.66444683\",\n \"0.6622507\",\n \"0.6244537\",\n \"0.6179251\",\n \"0.6133368\",\n \"0.6045187\",\n \"0.6045187\",\n \"0.59814507\",\n \"0.59618044\",\n \"0.58827865\",\n \"0.58645016\",\n \"0.5827011\",\n \"0.58014655\",\n \"0.5761547\",\n \"0.5753698\",\n \"0.56954235\",\n \"0.5668303\",\n \"0.5618803\",\n \"0.55411404\",\n \"0.5514678\",\n \"0.55112827\",\n \"0.5493548\",\n \"0.54902774\",\n \"0.54902774\",\n \"0.5488089\",\n \"0.5475801\",\n \"0.54572475\",\n \"0.5454777\",\n \"0.54440653\",\n \"0.5442891\",\n \"0.5428819\",\n \"0.54280406\",\n \"0.5426076\",\n \"0.542229\",\n \"0.5414114\",\n \"0.54063797\",\n \"0.53933096\",\n \"0.53887904\",\n \"0.5353023\",\n \"0.5352172\",\n \"0.5350727\",\n \"0.53404623\",\n \"0.53320265\",\n \"0.5325911\",\n \"0.53143287\",\n \"0.53077596\",\n \"0.5294656\",\n \"0.52923286\",\n \"0.5288479\",\n \"0.5278901\",\n \"0.52781576\",\n \"0.5276853\",\n \"0.52735776\",\n \"0.5272147\",\n \"0.5272147\",\n \"0.5268954\",\n \"0.52592695\",\n \"0.5252086\",\n \"0.52503926\",\n \"0.5246777\",\n \"0.5242505\",\n \"0.52277523\",\n \"0.5200116\",\n \"0.51922125\",\n \"0.5169699\",\n \"0.51524234\",\n \"0.5144564\",\n \"0.5140932\",\n \"0.51401794\",\n \"0.5134442\",\n \"0.51244986\",\n \"0.51200825\",\n \"0.51146615\",\n \"0.51146615\",\n \"0.5104447\",\n \"0.5102964\",\n \"0.5102398\",\n \"0.50970787\",\n \"0.5092632\",\n \"0.5092632\",\n \"0.50922036\",\n \"0.5091044\",\n \"0.50863963\",\n \"0.50848573\",\n \"0.50843614\",\n \"0.50827855\",\n \"0.50827855\",\n \"0.5082229\",\n \"0.5080362\",\n \"0.50789356\",\n \"0.5075301\",\n \"0.5074305\",\n \"0.50741136\",\n \"0.50730157\",\n \"0.50730157\",\n \"0.50730157\",\n \"0.50730157\",\n \"0.50730157\",\n \"0.50715667\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.6628282"},"document_rank":{"kind":"string","value":"2"}}},{"rowIdx":20483,"cells":{"query":{"kind":"string","value":"Register for instance action change notifications"},"document":{"kind":"string","value":"def nfvi_register_instance_action_change_callback(callback):\n _compute_plugin.invoke_plugin('register_instance_action_change_callback',\n callback=callback)"},"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 nfvi_register_instance_action_callback(callback):\n _compute_plugin.invoke_plugin('register_instance_action_callback',\n callback=callback)","def on_register(cls):","def notifyObservers(self):","def _instance_changed_handler ( self, name, old, new ):\n arg_lists = self._get_instance_handlers( name )\n\n if old is not None:\n for args in arg_lists:\n old.on_trait_change( remove = True, *args )\n\n if new is not None:\n for args in arg_lists:\n new.on_trait_change( *args )","def register_instance(self, instance):\n self.instance = instance","def on_notify(self, name):\r\n pass","def register_observers_with_gamestate(self):","def auto_discover():\n auto_registration(\"actions\")","def on_watch(self, payload):\n pass","def registerAction(self, actionId, action): #$NON-NLS-1$\r","def nfvi_register_instance_state_change_callback(callback):\n _compute_plugin.invoke_plugin('register_instance_state_change_callback',\n callback=callback)","def observe_model_modification(\n sender: type, instance: Model, created: bool = False, **kwargs\n):\n if isinstance(instance, Observable):\n if created:\n handle_permission_change(instance)\n elif not getattr(instance, suppress_notifications_attribute, False):\n Observer.observe_instance_changes(instance, ChangeType.UPDATE)\n Observer.observe_instance_container(instance, ChangeType.UPDATE)","def notify_subscribers(self, instance, domain, state=None):\n if not self.notifier:\n return\n\n if not state:\n state = instance.state\n\n tups = domain.get_subscribers()\n for subscriber_name, subscriber_op in tups:\n properties = {'hostname': instance.public_ip}\n content = {'node_id': instance.instance_id, 'state': state,\n 'domain_id': domain.domain_id,\n 'properties': properties}\n self.notifier.notify_by_name(subscriber_name, subscriber_op, content)","def publish_action(self, action):\n raise NotImplementedError","def onRegister(self):\n pass","def onRegister(self):\n pass","def start_notify(self, on_change):\n raise NotImplementedError","def events(self):","def action_defined(sender, instance, created, raw, using, **kwargs):\n if created:\n raw_hook_event.send(\n sender=None,\n event_name=\"action_defined\",\n instance=instance,\n payload=ActionSerializer(instance).data,\n user=instance.team,\n )","def notify_observers(self, new_gamestate) -> None:","def onAction(*args):","def onAction(*args):","def onAction(*args):","def onAction(*args):","def watch(self):","def notify(self):\n if self.has_changed:\n event = self.event_factory(self.resource, registry=self.registry, schema=self.schema,\n changed=self.changed)\n self.registry.notify(event)","def __init__(self, instance, created, signal_type):\n\n self.instance = instance\n self.created = created\n self.signal_type = signal_type","def receiveAction(self, action):\n self.action = action","def on_update(self, **kwargs):\n self.get_client()\n self.update(self, kwargs['sender'], kwargs['instance'])","def add_action(self, action):\n self.action = action","def add_action(self, action):\n self.action = action","def on_add(self):\n self.notify(on_add())","def register_events():\n return [Events.Command(\"example_command\")]","def setup(self):\n # hook app closing\n notifier = Krita.instance().notifier()\n notifier.applicationClosing.connect(self.shuttingDown)\n\n extension_name = self.objectName()\n # value = read_setting(extension_name, \"setting_name\", default=None)\n\n # create actions here and share \"instance\" to other places.\n self._activate_arc_welding_action = create_action(\n name=\"activate_arc_welding\",\n text=i18n(\"Activate Arc Welding\"),\n triggered=self.activate_arc_welding,\n parent=self) # I own the action!\n\n # when is .action file applied?\n # write_extension_action_file(self)","def new_match(sender, instance: Match, **kwargs):\n log.debug('in new_match signal')\n match = serializers.MatchFullSerializer(instance).data\n streamers = serializers.MatchStreamersSerializer(instance.streamers, many=True).data\n\n\n payload = {\n 'match': match,\n 'streamers': streamers\n }\n log.debug('sending new match notification')\n ws.send_notification('new_match', payload)","def __init__(self):\n _subscribe_marked_events(self)","def alter(self, instance, activity, **kwargs):\n return activity","def action(self, action):\n self._action = action","def onUpdated(self):","def actions(self, actions):\n\n self._actions = actions","def actions(self, actions):\n\n self._actions = actions","def __init__(self):\n self.actions = []","def Action(self) -> NotifyCollectionChangedAction:","def on_action(self, connection, event):\r\n print('[{}] OnAction from {}' .format(event.type.upper(), event.source))","def action(self, action):\n\n self._action = action","def __init__(self, *args, **kwargs):\n\n Action.__init__(self, *args, **kwargs)\n\n self.addListener('toggled',\n 'ToggleAction_{}_internal'.format(id(self)),\n self.__toggledChanged)","def augment(self, event):\n action = event[0]\n changes = event[1]\n for change in changes:\n if change.resource == Res.VP:\n self.update_vp(action, change)\n else:\n self.update_resources(action, change)","def on_created_action(sender, instance: models_actstream.Action, created, **kwargs):\n if not created:\n return\n\n # If content_type is Post or Profile\n if (\n instance.action_object_content_type\n == ContentType.objects.get_for_model(dillo.models.posts.Post)\n and instance.verb == 'posted'\n ) or (\n instance.action_object_content_type\n == ContentType.objects.get_for_model(dillo.models.profiles.Profile)\n and instance.verb == 'updated their reel'\n ):\n dillo.tasks.feeds.establish_time_proximity(instance)\n\n log.debug('Creating background fanout operation for action %i' % instance.id)\n dillo.tasks.feeds.activity_fanout_to_feeds(instance.id)","def handle_notification(self, type, notification):\n print \"Notified ! %s\"%type\n if type != \"contentInstances\":\n return super(NGSI_10, self).handle_notification(type, notification)\n\n if not notification[\"currentNrOfInstances\"]:\n return False\n\n container_id = notification[\"subscriptionsReference\"].rsplit(\"/\", 2)[0].rpartition(\"/\")[-1]\n app_id = notification[\"subscriptionsReference\"].rsplit(\"/\", 4)[0].rpartition(\"/\")[-1]\n\n app_type, app_id = self.split_app_id(app_id)\n subscriptions = self.db.find_container_subscriptions(app_type, app_id, attribute=container_id)\n if subscriptions:\n data = self._get_context_attribute_value(notification)\n \"\"\"\n notify_request = NotifyContextRequest(\n contextResponseList = [\n ContextElementResponse(\n statusCode = 200,\n contextElement = ContextElement(\n entityId = EntityId(type = app_type, id = app_id, isPattern = False),\n contextAttributeList = [\n ContextAttribute(\n name = data[\"name\"] or container_id,\n contextValue = data[\"contextValue\"],\n metadata = data[\"metadata\"],\n type = data[\"type\"]\n )\n ]\n )\n )\n ]\n )\n \"\"\"\n update_request = UpdateContextRequest(\n contextElementList=[\n ContextElement(\n entityId=EntityId(type=app_type, id=app_id, isPattern=False),\n contextAttributeList=[\n ContextAttribute(\n name=data[\"name\"] or container_id,\n contextValue=str(data[\"contextValue\"]),\n metadata=data[\"metadata\"],\n type=data[\"type\"]\n )\n ]\n )\n ],\n updateAction=\"UPDATE\"\n )\n\n self._send_notifications(subscriptions, update_request)\n\n #raise Exception(latest, container_id, app_id)\n\n return True","def _set_up_change_notifier(conn, table: str, actions: Set[str]):\n\n # build function to create in the database\n channel = f\"{table}_table_change\"\n func_name = f\"notify_{table}_change()\"\n func = f\"\"\"\n CREATE OR REPLACE FUNCTION {func_name}\n RETURNS TRIGGER AS $$\n BEGIN\n PERFORM pg_notify('{channel}','changed');\n RETURN NULL;\n END;\n $$ LANGUAGE plpgsql;\n \"\"\"\n\n # build triggers that will run func on each action\n triggers = \"\"\n for action in actions:\n if action.upper() in ServerSockets.DbActions:\n trigger_name = f\"{table}_notify_{action.lower()}\"\n\n triggers += f\"\"\"\n DROP TRIGGER IF EXISTS {trigger_name} ON {table};\n CREATE TRIGGER {trigger_name}\n AFTER {action} ON {table}\n FOR EACH ROW EXECUTE PROCEDURE {func_name};\n \"\"\"\n else:\n raise TypeError(\n \"All actions must be either INSERT, UPDATE or DELETE\")\n\n # insert function and respective triggers into the database\n cur = conn.cursor()\n cur.execute(func)\n if triggers:\n cur.execute(triggers)\n return channel","def __init__(self):\r\n self.observers = {}","def register_on_close(self, action):\n self._action_on_close = action","def setupAssignmentNotifiers():\n\n assignmentNotifiers(Implementation.registerNotify)","def _create_actions(self):\n self.set_button.clicked.connect(self._set_dialog)\n self._model.cross_pos_changed.connect(self._update_prob)","def actions(self, state):\n raise NotImplementedError # Override this!","def Notify(self):\r\n\r\n self._owner.OnRenameTimer()","def registered(self):\n log.info(\"Registered.\")\n pass","def notify(self, event):\n raise NotImplementedError","def action(self):\n pass","def action(self):\n pass","def __call__(self, trigger, type, event):","def actions(self, state):\n\t\traise NotImplementedError","def instance_action():\n data = check_args(\n ('cloudProvider', 'apiKey', 'secretKey', 'instanceAction',\n 'instanceId')\n )\n job = jobs.instance_action.apply_async(args=(data,))\n return make_response(job_id=job.id)","def register(hass, config, action):\n hours = convert(config.get(CONF_HOURS), int)\n minutes = convert(config.get(CONF_MINUTES), int)\n seconds = convert(config.get(CONF_SECONDS), int)\n\n def time_automation_listener(now):\n \"\"\" Listens for time changes and calls action. \"\"\"\n action()\n\n track_time_change(hass, time_automation_listener,\n hour=hours, minute=minutes, second=seconds)\n\n return True","def sync_action(self, renderer, action, with_request):\n self.set(self._actions[1], renderer.register_callback(self._actions[0], action, with_request))","def trigger(self, type, event):","def test_action_register_methods(self) -> None:\n with self.assertWarns(RemovedInReviewBoard70Warning,\n self.deprecation_message):\n foo_action = FooAction()\n foo_action.register()\n\n self.assertEqual(actions_registry.get('action_id', 'foo-action'),\n foo_action)\n\n foo_action.unregister()\n\n self.assertIsNone(actions_registry.get('action_id', 'foo-action'))","def _list_changed_handler ( self, name, old, new ):\n arg_lists = self._get_instance_handlers( name )\n\n for item in old:\n for args in arg_lists:\n item.on_trait_change( remove = True, *args )\n\n for item in new:\n for args in arg_lists:\n item.on_trait_change( *args )","def notify(self) -> None:\n pass","def notify(self) -> None:\n pass","def actions():\n pass","def watch(self):\n raise NotImplementedError()","def on_activate(self) -> None:","def log(self, obj, action):\n action_dict = {'time': time.time(),\n 'action': action}\n self.log_data[obj.get_obj_id()]['actions'].append(action_dict)","def _action(self):\n pass","def register_action(self, name, command):\n action_name = command['action_name']\n if action_name not in self.al_clients:\n action_type = self.get_interface_type(command['interface_type'], '.action')\n self.al_clients[action_name] = ActionClient(self, action_type, action_name)\n\n if self.al_clients[action_name].server_is_ready():\n if action_name in self.offline_actions:\n self.offline_actions.remove(action_name)\n else:\n if action_name not in self.offline_actions:\n self.get_logger().warn(\n 'action {} is not read yet'.format(action_name))\n self.offline_actions.append(action_name)","def __init__(self, hass, api: PhilipsTV) -> None:\n self.api = api\n\n def _update_listeners():\n for update_callback in self._listeners:\n update_callback()\n\n self.turn_on = PluggableAction(_update_listeners)\n\n super().__init__(\n hass,\n LOGGER,\n name=DOMAIN,\n update_interval=timedelta(seconds=30),\n request_refresh_debouncer=Debouncer(\n hass, LOGGER, cooldown=2.0, immediate=False\n ),\n )","def actions(self):\n raise NotImplementedError","def StatusChanged(self, state, info):\n pass","def instance(self, instance):\n self._instance = instance","def subscribeViewerChanged(self, action: Callable) -> int:\n self.sub_id += 1\n self._viewer_changed_subscribers[self.sub_id] = action\n return self.sub_id","def _notify_update(self, cuds_object):","def on_activate(self):","def triggered(self, *args, **kwargs): # real signature unknown\n pass","def notify_new(self, **kwargs):\n return self.notify(\"notify_new\", **kwargs)","def on_new(self, ins, const):\n pass","def set_action(self,action):\n self.__action = action","def __init__(self, *args, **kwargs):\n self.events = {}","def action_on_instances(client_method, instance_ids, action):\n try:\n if instance_ids:\n logger.info('{}ing the following instances'.format(action))\n logger.info(instance_ids)\n client_method(InstanceIds=instance_ids)\n logger.info('{} has finished successfully'.format(action))\n else:\n logger.info('No action was taken because one of the following:')\n logger.info('1 - Instances have \"NoShutdown\" flag.')\n logger.info('2 - Instances do not have \"Schedule\" tag.')\n logger.info('3 - Instances have no value in \"Schedule\" tag.')\n except Exception as error:\n logger.error('{} failed with the following output : {}'.format(action, error))","def on_update(self, action):\n self._last_foreign.on_update(action)\n return self","def monitor_instance(self, instance_id):\r\n return self.monitor_instances([instance_id])","def action_spec(self):\r\n pass","def __init__(self, action=0):\n self.action = action","def broadcast_publisher_info(sender, instance, created, **kwargs):\n if created:\n # notify creation to generic channel\n broadcast('pulse', {\n 'status': instance.status,\n 'pk': instance.pk,\n 'slug': instance.slug,\n 'date_last_crawled': '{0}'.format(instance.date_last_crawled)\n }, event_type=settings.OBER_EVENTS_CREATE_PUBLISHER)\n else:\n # notify updates, with basic serialized instance\n broadcast('pulse', {\n 'status': instance.status,\n 'status_changed': instance.status != instance._original.get('status'),\n 'pk': instance.pk,\n 'slug': instance.slug,\n 'date_last_crawled': '{0}'.format(instance.date_last_crawled)\n }, event_type=settings.OBER_EVENTS_UPDATE_PUBLISHER)","def add_action(self, action: BaseAction):\n\n logger.debug(f'registering action {action}')\n self.actions.append(action)","def subscribeDataChanged(self, v_id, action):\n self.sub_id += 1\n v_dict = {}\n if self._data_changed_subscribers.get(v_id, None):\n v_dict = self._data_changed_subscribers[v_id]\n else:\n self._data_changed_subscribers[v_id] = v_dict\n\n v_dict[self.sub_id] = action\n return self.sub_id","def notify(self):\n if self.GetParent() is not None:\n evt = PageChangeEvent(from_page=self.GetName(),\n to_page=\"page_annot_actions\",\n fct=\"\")\n evt.SetEventObject(self)\n wx.PostEvent(self.GetParent(), evt)","def notify(self, data):\n\n if 'personId' in data.keys():\n person_id = data['personId']\n if data['type'] == EventTimeLine.PERSON_CREATION:\n self._registry[person_id] = {\n 'name': data['name'],\n 'address': data['address'],\n 'status': data['status'],\n 'version': 1\n }\n\n if data['type'] == EventTimeLine.PERSON_STATUS_CHANGE:\n p = self._registry[person_id]\n p['status'] = data['newStatus']\n p['version'] += 1\n\n if data['type'] == EventTimeLine.PERSON_MOVE:\n p = self._registry[person_id]\n p['address'] = data['newAddress']\n p['version'] += 1","def _set_action(self, action):\n raise NotImplementedError()","def _set_action(self, action):\n raise NotImplementedError()"],"string":"[\n \"def nfvi_register_instance_action_callback(callback):\\n _compute_plugin.invoke_plugin('register_instance_action_callback',\\n callback=callback)\",\n \"def on_register(cls):\",\n \"def notifyObservers(self):\",\n \"def _instance_changed_handler ( self, name, old, new ):\\n arg_lists = self._get_instance_handlers( name )\\n\\n if old is not None:\\n for args in arg_lists:\\n old.on_trait_change( remove = True, *args )\\n\\n if new is not None:\\n for args in arg_lists:\\n new.on_trait_change( *args )\",\n \"def register_instance(self, instance):\\n self.instance = instance\",\n \"def on_notify(self, name):\\r\\n pass\",\n \"def register_observers_with_gamestate(self):\",\n \"def auto_discover():\\n auto_registration(\\\"actions\\\")\",\n \"def on_watch(self, payload):\\n pass\",\n \"def registerAction(self, actionId, action): #$NON-NLS-1$\\r\",\n \"def nfvi_register_instance_state_change_callback(callback):\\n _compute_plugin.invoke_plugin('register_instance_state_change_callback',\\n callback=callback)\",\n \"def observe_model_modification(\\n sender: type, instance: Model, created: bool = False, **kwargs\\n):\\n if isinstance(instance, Observable):\\n if created:\\n handle_permission_change(instance)\\n elif not getattr(instance, suppress_notifications_attribute, False):\\n Observer.observe_instance_changes(instance, ChangeType.UPDATE)\\n Observer.observe_instance_container(instance, ChangeType.UPDATE)\",\n \"def notify_subscribers(self, instance, domain, state=None):\\n if not self.notifier:\\n return\\n\\n if not state:\\n state = instance.state\\n\\n tups = domain.get_subscribers()\\n for subscriber_name, subscriber_op in tups:\\n properties = {'hostname': instance.public_ip}\\n content = {'node_id': instance.instance_id, 'state': state,\\n 'domain_id': domain.domain_id,\\n 'properties': properties}\\n self.notifier.notify_by_name(subscriber_name, subscriber_op, content)\",\n \"def publish_action(self, action):\\n raise NotImplementedError\",\n \"def onRegister(self):\\n pass\",\n \"def onRegister(self):\\n pass\",\n \"def start_notify(self, on_change):\\n raise NotImplementedError\",\n \"def events(self):\",\n \"def action_defined(sender, instance, created, raw, using, **kwargs):\\n if created:\\n raw_hook_event.send(\\n sender=None,\\n event_name=\\\"action_defined\\\",\\n instance=instance,\\n payload=ActionSerializer(instance).data,\\n user=instance.team,\\n )\",\n \"def notify_observers(self, new_gamestate) -> None:\",\n \"def onAction(*args):\",\n \"def onAction(*args):\",\n \"def onAction(*args):\",\n \"def onAction(*args):\",\n \"def watch(self):\",\n \"def notify(self):\\n if self.has_changed:\\n event = self.event_factory(self.resource, registry=self.registry, schema=self.schema,\\n changed=self.changed)\\n self.registry.notify(event)\",\n \"def __init__(self, instance, created, signal_type):\\n\\n self.instance = instance\\n self.created = created\\n self.signal_type = signal_type\",\n \"def receiveAction(self, action):\\n self.action = action\",\n \"def on_update(self, **kwargs):\\n self.get_client()\\n self.update(self, kwargs['sender'], kwargs['instance'])\",\n \"def add_action(self, action):\\n self.action = action\",\n \"def add_action(self, action):\\n self.action = action\",\n \"def on_add(self):\\n self.notify(on_add())\",\n \"def register_events():\\n return [Events.Command(\\\"example_command\\\")]\",\n \"def setup(self):\\n # hook app closing\\n notifier = Krita.instance().notifier()\\n notifier.applicationClosing.connect(self.shuttingDown)\\n\\n extension_name = self.objectName()\\n # value = read_setting(extension_name, \\\"setting_name\\\", default=None)\\n\\n # create actions here and share \\\"instance\\\" to other places.\\n self._activate_arc_welding_action = create_action(\\n name=\\\"activate_arc_welding\\\",\\n text=i18n(\\\"Activate Arc Welding\\\"),\\n triggered=self.activate_arc_welding,\\n parent=self) # I own the action!\\n\\n # when is .action file applied?\\n # write_extension_action_file(self)\",\n \"def new_match(sender, instance: Match, **kwargs):\\n log.debug('in new_match signal')\\n match = serializers.MatchFullSerializer(instance).data\\n streamers = serializers.MatchStreamersSerializer(instance.streamers, many=True).data\\n\\n\\n payload = {\\n 'match': match,\\n 'streamers': streamers\\n }\\n log.debug('sending new match notification')\\n ws.send_notification('new_match', payload)\",\n \"def __init__(self):\\n _subscribe_marked_events(self)\",\n \"def alter(self, instance, activity, **kwargs):\\n return activity\",\n \"def action(self, action):\\n self._action = action\",\n \"def onUpdated(self):\",\n \"def actions(self, actions):\\n\\n self._actions = actions\",\n \"def actions(self, actions):\\n\\n self._actions = actions\",\n \"def __init__(self):\\n self.actions = []\",\n \"def Action(self) -> NotifyCollectionChangedAction:\",\n \"def on_action(self, connection, event):\\r\\n print('[{}] OnAction from {}' .format(event.type.upper(), event.source))\",\n \"def action(self, action):\\n\\n self._action = action\",\n \"def __init__(self, *args, **kwargs):\\n\\n Action.__init__(self, *args, **kwargs)\\n\\n self.addListener('toggled',\\n 'ToggleAction_{}_internal'.format(id(self)),\\n self.__toggledChanged)\",\n \"def augment(self, event):\\n action = event[0]\\n changes = event[1]\\n for change in changes:\\n if change.resource == Res.VP:\\n self.update_vp(action, change)\\n else:\\n self.update_resources(action, change)\",\n \"def on_created_action(sender, instance: models_actstream.Action, created, **kwargs):\\n if not created:\\n return\\n\\n # If content_type is Post or Profile\\n if (\\n instance.action_object_content_type\\n == ContentType.objects.get_for_model(dillo.models.posts.Post)\\n and instance.verb == 'posted'\\n ) or (\\n instance.action_object_content_type\\n == ContentType.objects.get_for_model(dillo.models.profiles.Profile)\\n and instance.verb == 'updated their reel'\\n ):\\n dillo.tasks.feeds.establish_time_proximity(instance)\\n\\n log.debug('Creating background fanout operation for action %i' % instance.id)\\n dillo.tasks.feeds.activity_fanout_to_feeds(instance.id)\",\n \"def handle_notification(self, type, notification):\\n print \\\"Notified ! %s\\\"%type\\n if type != \\\"contentInstances\\\":\\n return super(NGSI_10, self).handle_notification(type, notification)\\n\\n if not notification[\\\"currentNrOfInstances\\\"]:\\n return False\\n\\n container_id = notification[\\\"subscriptionsReference\\\"].rsplit(\\\"/\\\", 2)[0].rpartition(\\\"/\\\")[-1]\\n app_id = notification[\\\"subscriptionsReference\\\"].rsplit(\\\"/\\\", 4)[0].rpartition(\\\"/\\\")[-1]\\n\\n app_type, app_id = self.split_app_id(app_id)\\n subscriptions = self.db.find_container_subscriptions(app_type, app_id, attribute=container_id)\\n if subscriptions:\\n data = self._get_context_attribute_value(notification)\\n \\\"\\\"\\\"\\n notify_request = NotifyContextRequest(\\n contextResponseList = [\\n ContextElementResponse(\\n statusCode = 200,\\n contextElement = ContextElement(\\n entityId = EntityId(type = app_type, id = app_id, isPattern = False),\\n contextAttributeList = [\\n ContextAttribute(\\n name = data[\\\"name\\\"] or container_id,\\n contextValue = data[\\\"contextValue\\\"],\\n metadata = data[\\\"metadata\\\"],\\n type = data[\\\"type\\\"]\\n )\\n ]\\n )\\n )\\n ]\\n )\\n \\\"\\\"\\\"\\n update_request = UpdateContextRequest(\\n contextElementList=[\\n ContextElement(\\n entityId=EntityId(type=app_type, id=app_id, isPattern=False),\\n contextAttributeList=[\\n ContextAttribute(\\n name=data[\\\"name\\\"] or container_id,\\n contextValue=str(data[\\\"contextValue\\\"]),\\n metadata=data[\\\"metadata\\\"],\\n type=data[\\\"type\\\"]\\n )\\n ]\\n )\\n ],\\n updateAction=\\\"UPDATE\\\"\\n )\\n\\n self._send_notifications(subscriptions, update_request)\\n\\n #raise Exception(latest, container_id, app_id)\\n\\n return True\",\n \"def _set_up_change_notifier(conn, table: str, actions: Set[str]):\\n\\n # build function to create in the database\\n channel = f\\\"{table}_table_change\\\"\\n func_name = f\\\"notify_{table}_change()\\\"\\n func = f\\\"\\\"\\\"\\n CREATE OR REPLACE FUNCTION {func_name}\\n RETURNS TRIGGER AS $$\\n BEGIN\\n PERFORM pg_notify('{channel}','changed');\\n RETURN NULL;\\n END;\\n $$ LANGUAGE plpgsql;\\n \\\"\\\"\\\"\\n\\n # build triggers that will run func on each action\\n triggers = \\\"\\\"\\n for action in actions:\\n if action.upper() in ServerSockets.DbActions:\\n trigger_name = f\\\"{table}_notify_{action.lower()}\\\"\\n\\n triggers += f\\\"\\\"\\\"\\n DROP TRIGGER IF EXISTS {trigger_name} ON {table};\\n CREATE TRIGGER {trigger_name}\\n AFTER {action} ON {table}\\n FOR EACH ROW EXECUTE PROCEDURE {func_name};\\n \\\"\\\"\\\"\\n else:\\n raise TypeError(\\n \\\"All actions must be either INSERT, UPDATE or DELETE\\\")\\n\\n # insert function and respective triggers into the database\\n cur = conn.cursor()\\n cur.execute(func)\\n if triggers:\\n cur.execute(triggers)\\n return channel\",\n \"def __init__(self):\\r\\n self.observers = {}\",\n \"def register_on_close(self, action):\\n self._action_on_close = action\",\n \"def setupAssignmentNotifiers():\\n\\n assignmentNotifiers(Implementation.registerNotify)\",\n \"def _create_actions(self):\\n self.set_button.clicked.connect(self._set_dialog)\\n self._model.cross_pos_changed.connect(self._update_prob)\",\n \"def actions(self, state):\\n raise NotImplementedError # Override this!\",\n \"def Notify(self):\\r\\n\\r\\n self._owner.OnRenameTimer()\",\n \"def registered(self):\\n log.info(\\\"Registered.\\\")\\n pass\",\n \"def notify(self, event):\\n raise NotImplementedError\",\n \"def action(self):\\n pass\",\n \"def action(self):\\n pass\",\n \"def __call__(self, trigger, type, event):\",\n \"def actions(self, state):\\n\\t\\traise NotImplementedError\",\n \"def instance_action():\\n data = check_args(\\n ('cloudProvider', 'apiKey', 'secretKey', 'instanceAction',\\n 'instanceId')\\n )\\n job = jobs.instance_action.apply_async(args=(data,))\\n return make_response(job_id=job.id)\",\n \"def register(hass, config, action):\\n hours = convert(config.get(CONF_HOURS), int)\\n minutes = convert(config.get(CONF_MINUTES), int)\\n seconds = convert(config.get(CONF_SECONDS), int)\\n\\n def time_automation_listener(now):\\n \\\"\\\"\\\" Listens for time changes and calls action. \\\"\\\"\\\"\\n action()\\n\\n track_time_change(hass, time_automation_listener,\\n hour=hours, minute=minutes, second=seconds)\\n\\n return True\",\n \"def sync_action(self, renderer, action, with_request):\\n self.set(self._actions[1], renderer.register_callback(self._actions[0], action, with_request))\",\n \"def trigger(self, type, event):\",\n \"def test_action_register_methods(self) -> None:\\n with self.assertWarns(RemovedInReviewBoard70Warning,\\n self.deprecation_message):\\n foo_action = FooAction()\\n foo_action.register()\\n\\n self.assertEqual(actions_registry.get('action_id', 'foo-action'),\\n foo_action)\\n\\n foo_action.unregister()\\n\\n self.assertIsNone(actions_registry.get('action_id', 'foo-action'))\",\n \"def _list_changed_handler ( self, name, old, new ):\\n arg_lists = self._get_instance_handlers( name )\\n\\n for item in old:\\n for args in arg_lists:\\n item.on_trait_change( remove = True, *args )\\n\\n for item in new:\\n for args in arg_lists:\\n item.on_trait_change( *args )\",\n \"def notify(self) -> None:\\n pass\",\n \"def notify(self) -> None:\\n pass\",\n \"def actions():\\n pass\",\n \"def watch(self):\\n raise NotImplementedError()\",\n \"def on_activate(self) -> None:\",\n \"def log(self, obj, action):\\n action_dict = {'time': time.time(),\\n 'action': action}\\n self.log_data[obj.get_obj_id()]['actions'].append(action_dict)\",\n \"def _action(self):\\n pass\",\n \"def register_action(self, name, command):\\n action_name = command['action_name']\\n if action_name not in self.al_clients:\\n action_type = self.get_interface_type(command['interface_type'], '.action')\\n self.al_clients[action_name] = ActionClient(self, action_type, action_name)\\n\\n if self.al_clients[action_name].server_is_ready():\\n if action_name in self.offline_actions:\\n self.offline_actions.remove(action_name)\\n else:\\n if action_name not in self.offline_actions:\\n self.get_logger().warn(\\n 'action {} is not read yet'.format(action_name))\\n self.offline_actions.append(action_name)\",\n \"def __init__(self, hass, api: PhilipsTV) -> None:\\n self.api = api\\n\\n def _update_listeners():\\n for update_callback in self._listeners:\\n update_callback()\\n\\n self.turn_on = PluggableAction(_update_listeners)\\n\\n super().__init__(\\n hass,\\n LOGGER,\\n name=DOMAIN,\\n update_interval=timedelta(seconds=30),\\n request_refresh_debouncer=Debouncer(\\n hass, LOGGER, cooldown=2.0, immediate=False\\n ),\\n )\",\n \"def actions(self):\\n raise NotImplementedError\",\n \"def StatusChanged(self, state, info):\\n pass\",\n \"def instance(self, instance):\\n self._instance = instance\",\n \"def subscribeViewerChanged(self, action: Callable) -> int:\\n self.sub_id += 1\\n self._viewer_changed_subscribers[self.sub_id] = action\\n return self.sub_id\",\n \"def _notify_update(self, cuds_object):\",\n \"def on_activate(self):\",\n \"def triggered(self, *args, **kwargs): # real signature unknown\\n pass\",\n \"def notify_new(self, **kwargs):\\n return self.notify(\\\"notify_new\\\", **kwargs)\",\n \"def on_new(self, ins, const):\\n pass\",\n \"def set_action(self,action):\\n self.__action = action\",\n \"def __init__(self, *args, **kwargs):\\n self.events = {}\",\n \"def action_on_instances(client_method, instance_ids, action):\\n try:\\n if instance_ids:\\n logger.info('{}ing the following instances'.format(action))\\n logger.info(instance_ids)\\n client_method(InstanceIds=instance_ids)\\n logger.info('{} has finished successfully'.format(action))\\n else:\\n logger.info('No action was taken because one of the following:')\\n logger.info('1 - Instances have \\\"NoShutdown\\\" flag.')\\n logger.info('2 - Instances do not have \\\"Schedule\\\" tag.')\\n logger.info('3 - Instances have no value in \\\"Schedule\\\" tag.')\\n except Exception as error:\\n logger.error('{} failed with the following output : {}'.format(action, error))\",\n \"def on_update(self, action):\\n self._last_foreign.on_update(action)\\n return self\",\n \"def monitor_instance(self, instance_id):\\r\\n return self.monitor_instances([instance_id])\",\n \"def action_spec(self):\\r\\n pass\",\n \"def __init__(self, action=0):\\n self.action = action\",\n \"def broadcast_publisher_info(sender, instance, created, **kwargs):\\n if created:\\n # notify creation to generic channel\\n broadcast('pulse', {\\n 'status': instance.status,\\n 'pk': instance.pk,\\n 'slug': instance.slug,\\n 'date_last_crawled': '{0}'.format(instance.date_last_crawled)\\n }, event_type=settings.OBER_EVENTS_CREATE_PUBLISHER)\\n else:\\n # notify updates, with basic serialized instance\\n broadcast('pulse', {\\n 'status': instance.status,\\n 'status_changed': instance.status != instance._original.get('status'),\\n 'pk': instance.pk,\\n 'slug': instance.slug,\\n 'date_last_crawled': '{0}'.format(instance.date_last_crawled)\\n }, event_type=settings.OBER_EVENTS_UPDATE_PUBLISHER)\",\n \"def add_action(self, action: BaseAction):\\n\\n logger.debug(f'registering action {action}')\\n self.actions.append(action)\",\n \"def subscribeDataChanged(self, v_id, action):\\n self.sub_id += 1\\n v_dict = {}\\n if self._data_changed_subscribers.get(v_id, None):\\n v_dict = self._data_changed_subscribers[v_id]\\n else:\\n self._data_changed_subscribers[v_id] = v_dict\\n\\n v_dict[self.sub_id] = action\\n return self.sub_id\",\n \"def notify(self):\\n if self.GetParent() is not None:\\n evt = PageChangeEvent(from_page=self.GetName(),\\n to_page=\\\"page_annot_actions\\\",\\n fct=\\\"\\\")\\n evt.SetEventObject(self)\\n wx.PostEvent(self.GetParent(), evt)\",\n \"def notify(self, data):\\n\\n if 'personId' in data.keys():\\n person_id = data['personId']\\n if data['type'] == EventTimeLine.PERSON_CREATION:\\n self._registry[person_id] = {\\n 'name': data['name'],\\n 'address': data['address'],\\n 'status': data['status'],\\n 'version': 1\\n }\\n\\n if data['type'] == EventTimeLine.PERSON_STATUS_CHANGE:\\n p = self._registry[person_id]\\n p['status'] = data['newStatus']\\n p['version'] += 1\\n\\n if data['type'] == EventTimeLine.PERSON_MOVE:\\n p = self._registry[person_id]\\n p['address'] = data['newAddress']\\n p['version'] += 1\",\n \"def _set_action(self, action):\\n raise NotImplementedError()\",\n \"def _set_action(self, action):\\n raise NotImplementedError()\"\n]","isConversational":false},"negative_scores":{"kind":"list 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\"0.6161295\",\n \"0.6089405\",\n \"0.59604\",\n \"0.59021795\",\n \"0.58711416\",\n \"0.58598304\",\n \"0.5859007\",\n \"0.58397067\",\n \"0.576684\",\n \"0.56879747\",\n \"0.5651403\",\n \"0.5616433\",\n \"0.5599115\",\n \"0.5545698\",\n \"0.55440086\",\n \"0.55440086\",\n \"0.55310184\",\n \"0.552071\",\n \"0.5515812\",\n \"0.55045426\",\n \"0.5493684\",\n \"0.5493684\",\n \"0.5493684\",\n \"0.5493684\",\n \"0.5487216\",\n \"0.5472829\",\n \"0.5435524\",\n \"0.541051\",\n \"0.54091513\",\n \"0.5407344\",\n \"0.5407344\",\n \"0.53922725\",\n \"0.5387714\",\n \"0.53828645\",\n \"0.534363\",\n \"0.53431016\",\n \"0.5341072\",\n \"0.53267896\",\n \"0.52670693\",\n \"0.52643055\",\n \"0.52643055\",\n \"0.5262267\",\n \"0.52580494\",\n \"0.52511024\",\n \"0.5243803\",\n \"0.52282476\",\n \"0.5223646\",\n \"0.5210753\",\n \"0.5208477\",\n \"0.52060324\",\n \"0.5200107\",\n \"0.5191037\",\n \"0.51907086\",\n \"0.5183748\",\n \"0.5181243\",\n \"0.5147443\",\n \"0.5137792\",\n \"0.51360375\",\n \"0.5126876\",\n \"0.5126876\",\n \"0.5110603\",\n \"0.50876856\",\n \"0.5086022\",\n \"0.50839347\",\n \"0.5079592\",\n \"0.5078202\",\n \"0.50741935\",\n \"0.5072859\",\n \"0.50705814\",\n \"0.50705814\",\n \"0.50575143\",\n \"0.5053748\",\n \"0.5047095\",\n \"0.504584\",\n \"0.5039545\",\n \"0.5037307\",\n \"0.5030897\",\n \"0.5022791\",\n \"0.5015876\",\n \"0.5011846\",\n \"0.5010192\",\n \"0.500664\",\n \"0.49988264\",\n \"0.49905545\",\n \"0.49710298\",\n \"0.4970482\",\n \"0.49685663\",\n \"0.49685615\",\n \"0.49594268\",\n \"0.4958888\",\n \"0.49533555\",\n \"0.4947723\",\n \"0.49467742\",\n \"0.4946365\",\n \"0.4946261\",\n \"0.4943561\",\n \"0.49388048\",\n \"0.49303806\",\n \"0.49256355\",\n \"0.49256355\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.6844933"},"document_rank":{"kind":"string","value":"0"}}},{"rowIdx":20484,"cells":{"query":{"kind":"string","value":"Register for instance action callback"},"document":{"kind":"string","value":"def nfvi_register_instance_action_callback(callback):\n _compute_plugin.invoke_plugin('register_instance_action_callback',\n callback=callback)"},"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 nfvi_register_instance_action_change_callback(callback):\n _compute_plugin.invoke_plugin('register_instance_action_change_callback',\n callback=callback)","def on_register(cls):","def register(self, callback):\n self.callback = callback","def add_callback(callback, control_instance):\n pass","def register_instance(self, instance):\n self.instance = instance","def register_callback(self):\n raise Exception('not implemented')","def __init__(self, callback):\n # Log the <instance>.__init__ message\n listeners_logger.log_info(\n '{0}.__init__<{1}>'.format(self.name, callback))\n\n # Is the callback callable?\n if not callable(callback):\n\n # Raise an error\n raise TypeError(\n \"'\" + type(callback).__name__ + \"' object is not callable.\")\n\n # Log the registering message\n listeners_logger.log_info(\n '{0}.__init__ - Registering'.format(self.name))\n\n # Store the callback\n self.callback = callback\n\n # Register the listener\n self.manager.register_listener(self.callback)","def onRegister(self):\n pass","def onRegister(self):\n pass","def registerAction(self, actionId, action): #$NON-NLS-1$\r","def register_callback(self, callback):\n self.callbacks.add(callback)","def __init__(self, callback):\n self.callback = callback","def __init__(self, callback):\n self.callback = callback","def callback_connect(self):\n pass","def callback_connect(self):\n pass","def callback_connect(self):\n pass","def register_callback(cls, backend, callback):\n cls._callbacks[backend][cls] = callback","def __init__(self, callback, *args, **kwargs):\n self.callback = lambda: callback(*args, **kwargs)","def __init__(self, function, instance):\r\n self.instance = instance\r\n self.function = function","def register_active_event(t, callback, args, action_runner, plugin, msg_obj, mutex=None):\n def func(func_args):\n action = callback(*func_args)\n if action:\n action_runner(action=action, plugin=plugin, msg_obj=msg_obj)\n register_event(t, func, args, mutex=mutex)","def add_action(self, action):\n self.action = action","def add_action(self, action):\n self.action = action","def register( key, obj ):\n global callbacks\n callbacks[ key ] = obj","def onAction(*args):","def onAction(*args):","def onAction(*args):","def onAction(*args):","def register_on_close(self, action):\n self._action_on_close = action","def register_callback(self, func):\n self.callback = func","def call_action(self, action):\n pass","def register_handler(self, handler):\r\n self.handler = handler","def __init__(self, action=0):\n self.action = action","def auto_discover():\n auto_registration(\"actions\")","def register_callback(self, obj, button, cmd):\n uid = self._uid(obj, button)\n if uid not in self._callbacks:\n self._callbacks[uid] = {}\n self._callbacks[uid] = cmd","def callback(self):\n pass # pragma: no cover","def _action(self):\n pass","def sync_action(self, renderer, action, with_request):\n self.set(self._actions[1], renderer.register_callback(self._actions[0], action, with_request))","def register_callback(sender, instance, **kwargs):\n logging.info(str(sender))\n if not instance.registered and instance.register:\n host = getattr(settings, \"MPESA_HOST_KEY\", \"http://\")\n biz = instance\n extra = biz.extra_data().copy()\n short_name = extra.get(\"short_name\", biz.short_name())\n business_details = {}\n confirmation_url = \"{}{}\".format(\n host, reverse(\n \"c2b_confirmation\",\n kwargs={\"business\": biz.number}))\n validation_url = \"{}{}\".format(\n host, reverse(\n \"c2b_validate\",\n kwargs={\"business\": biz.number}))\n business_details[\"number\"] = biz.number\n business_details[\"SP_ID\"] = extra.get(\"SP_ID\")\n business_details[\"SERVICE_ID\"] = extra.get(\"SERVICE_ID\")\n business_details[\"name\"] = short_name\n business_details[\"SP_PASS\"] = extra.get(\"SP_PASS\")\n business_details[\"request_id\"] = kwargs.get(\n \"request_id\", random.randint(1, 10**5))\n response = tsk.register_url.delay(\n validation_url, confirmation_url,\n business_details,\n TEST=getattr(settings, \"TEST\", False))\n return response\n return None","def register_callback(self, callback: Callable[[], None]) -> None:\r\n print(\"register callback called\")\r\n self._callbacks.add(callback)","def action(self):\n pass","def action(self):\n pass","def register(self, callback):\n callback_type = type(callback)\n\n if not self.callbacks.get(callback_type):\n self.callbacks[callback_type] = []\n\n self.callbacks[callback_type].append(callback)","def register(self, callback, filters = []):\n\t\tself.callbacks.append((callback, filters))\n\t\tself.events[str(callback)] = []","def take_action(self, *args, **kwargs):\r\n pass","def register_callback(self, callback):\n self._callbacks.append(callback)","def publish_action(self, action):\n raise NotImplementedError","def instance_action():\n data = check_args(\n ('cloudProvider', 'apiKey', 'secretKey', 'instanceAction',\n 'instanceId')\n )\n job = jobs.instance_action.apply_async(args=(data,))\n return make_response(job_id=job.id)","def nfvi_register_instance_state_change_callback(callback):\n _compute_plugin.invoke_plugin('register_instance_state_change_callback',\n callback=callback)","def action(self, action):\n self._action = action","def __init__(self):\n self.actions = []","def _register(self, comm, handler):","def action(self, action):\n\n self._action = action","def action(self, discriminator, callable=None, args=(), kw=None, **extra):\n if kw is None:\n kw = {}\n\n action = extra\n\n action.update(dict(\n discriminator=discriminator,\n callable=callable,\n args=args,\n kw=kw,\n module_name=self.module_name,\n order=self.count))\n\n self.actions.append(action)","def __init__(self, handler):\n\n self.event_handler = handler","def setup(self):\n # hook app closing\n notifier = Krita.instance().notifier()\n notifier.applicationClosing.connect(self.shuttingDown)\n\n extension_name = self.objectName()\n # value = read_setting(extension_name, \"setting_name\", default=None)\n\n # create actions here and share \"instance\" to other places.\n self._activate_arc_welding_action = create_action(\n name=\"activate_arc_welding\",\n text=i18n(\"Activate Arc Welding\"),\n triggered=self.activate_arc_welding,\n parent=self) # I own the action!\n\n # when is .action file applied?\n # write_extension_action_file(self)","def __call__(self, state, action):\n pass","def add_plugin(self, cls):\r\n command = cls.__module__.split('.')[-1]\r\n if command not in self.plugins:\r\n self.plugins[command] = {}\r\n self.plugins[command][cls.action] = cls","def setAction(self, func):\n\t\tself.action = func","def action_defined(sender, instance, created, raw, using, **kwargs):\n if created:\n raw_hook_event.send(\n sender=None,\n event_name=\"action_defined\",\n instance=instance,\n payload=ActionSerializer(instance).data,\n user=instance.team,\n )","def act(self):\n pass","def _set_callback(self):\n self.callback_f = None\n if self.callback:\n self.callback_f = inspector_mtw(**self.callback_kwargs)","def action_run(self):\n pass","def receiveAction(self, action):\n self.action = action","def add_action(self, action: BaseAction):\n\n logger.debug(f'registering action {action}')\n self.actions.append(action)","def registerCallback(self, cb, *args):\n\n conn = len(self.callbacks)\n self.callbacks[conn] = (cb, args)\n return conn","def plugin_register_ingest(handle, callback, ingest_ref):\n global c_callback, c_ingest_ref\n c_callback = callback\n c_ingest_ref = ingest_ref","def perform_callback(self, *args, **kwargs):\n pass","def register_callbacks(self, cbs):\n assert isinstance(cbs, dict) # cbs must be a dictionary\n cbs_key_list = list(cbs.keys())\n enum_key_list = [enum.value for enum in self._action_type_enum]\n \n # TODO replace by check for compulsory keys only, all action types do not apply to all actions\n #assert(len(set(enum_key_list) - set(cbs_key_list)) == 0)\n\n self._cbs = {}\n for key in cbs_key_list: # check syntax\n print \"Registered callback for action %s\" % key\n self._cbs[key] = cbs[key]\n rospy.logdebug(\"Callbacks registered.\")","def do_action(self):\n func = self._get_action_func()\n func(self)","def register_act(key, module):\n register(key, module, act_dict)","def callback(self, *args):\n raise NotImplementedError()","def make_new_handler(self, *args, **kwargs):","def nfvi_register_instance_delete_callback(callback):\n _compute_plugin.invoke_plugin('register_instance_delete_callback',\n callback=callback)","def on_add(self, callback):\n self._add_callback = callback if callable(callback) else _void","def register(self):\n REGISTERED_FUNCTIONS[self.path] = self","def create_callback(self, chain):","def add_callback(self, callback):\n log.debug(\"Adding callback {}\".format(callback))\n # pass an interface reference to the callback\n callback.model_interface = self.interface\n self.callbacks.append(callback)","def OnAdd(self, controller):\n pass","def registered(self):\n log.info(\"Registered.\")\n pass","def register_callback(self, callback):\n if not callable(callback):\n raise ValueError('callback is not a callable')\n\n self.callbacks.append(callback)","def register( self, pattern, callback ):\n self.patterns.append((pattern, callback))","def callback(name):\n f = \"on%s\" % \"\".join(x.capitalize() for x in name.split())\n return lambda: getattr(self, f)()","def callback(self, event):\n button = event[\"button\"]\n\n cmd = self._callbacks.get(self._uuidstr(self.global_id, button), None)\n cmd = self._callbacks.get(self._uuidstr(event[\"name\"], button), cmd)\n cmd = self._callbacks.get(self._uuidstr(event[\"instance\"], button), cmd)\n\n if cmd is None:\n return\n if callable(cmd):\n cmd(event)\n else:\n bumblebee.util.execute(cmd, False)","def __init__(self, action, resource, instance_id, username, token):\n self.action = action\n self.resource = resource\n self.instance_id = instance_id\n self.username = username\n self.token = token","def take_action(self, action):\n getattr(self, action['func'])(\n *action.get('args', ()), \n **action.get('kwargs', {})\n )","def add(self, callback, *args, **kwargs):\n\n self.list.append((callback, args, kwargs))","def add(self, callback):\n self._callbacks += as_cb_list(callback)","def __init__(self, instance, created, signal_type):\n\n self.instance = instance\n self.created = created\n self.signal_type = signal_type","def __init__(self, handler):\n self.__handler = handler","def on_activate(self) -> None:","def __init__(self, *args, **kwargs):\n\n Action.__init__(self, *args, **kwargs)\n\n self.addListener('toggled',\n 'ToggleAction_{}_internal'.format(id(self)),\n self.__toggledChanged)","def __call__(self):\n action = self.args.get('action', None)\n if not hasattr(self, 'action_%s' % (action,)):\n action = 'plugin_root'\n\n action_method = getattr(self, 'action_%s' % (action, ))\n return action_method()","def register_action(self, traced_action, action_type):\n command, response = traced_action\n command_placeholder_ids = self._store_placeholders(command)\n return_placeholder_ids = None\n\n if response is not None:\n return_placeholder_ids = self._store_placeholders(response)\n if not isinstance(return_placeholder_ids, (list, tuple)):\n return_placeholder_ids = (return_placeholder_ids,)\n\n action = action_type(*command_placeholder_ids, return_ids=return_placeholder_ids)\n self.actions.append(action)","def on_activate(self):","def registered(self, status_handler):\n self.__status_handler = status_handler","def act(self) -> None:\n pass","def actions():\n pass","def register(self, content_type, action):\n content_name = content_type.model_class()._meta.db_table\n if not content_name in self._registry.keys():\n HandlerClass = self.get_handler(content_name)\n handler = HandlerClass(content_type, action)\n self._registry[content_name] = content_type\n self._handlers[content_name] = handler","def register():\n signals.initialized.connect(initialize)\n signals.article_generator_context.connect(add_libravatar)","def __wrapped_init__(self, *args, **kwargs):\n init(self, *args, **kwargs)\n REGISTRY[name] = self\n register_event_callbacks(self)\n\n resolve_future_dependencies(__provider_name=name)"],"string":"[\n \"def nfvi_register_instance_action_change_callback(callback):\\n _compute_plugin.invoke_plugin('register_instance_action_change_callback',\\n callback=callback)\",\n \"def on_register(cls):\",\n \"def register(self, callback):\\n self.callback = callback\",\n \"def add_callback(callback, control_instance):\\n pass\",\n \"def register_instance(self, instance):\\n self.instance = instance\",\n \"def register_callback(self):\\n raise Exception('not implemented')\",\n \"def __init__(self, callback):\\n # Log the <instance>.__init__ message\\n listeners_logger.log_info(\\n '{0}.__init__<{1}>'.format(self.name, callback))\\n\\n # Is the callback callable?\\n if not callable(callback):\\n\\n # Raise an error\\n raise TypeError(\\n \\\"'\\\" + type(callback).__name__ + \\\"' object is not callable.\\\")\\n\\n # Log the registering message\\n listeners_logger.log_info(\\n '{0}.__init__ - Registering'.format(self.name))\\n\\n # Store the callback\\n self.callback = callback\\n\\n # Register the listener\\n self.manager.register_listener(self.callback)\",\n \"def onRegister(self):\\n pass\",\n \"def onRegister(self):\\n pass\",\n \"def registerAction(self, actionId, action): #$NON-NLS-1$\\r\",\n \"def register_callback(self, callback):\\n self.callbacks.add(callback)\",\n \"def __init__(self, callback):\\n self.callback = callback\",\n \"def __init__(self, callback):\\n self.callback = callback\",\n \"def callback_connect(self):\\n pass\",\n \"def callback_connect(self):\\n pass\",\n \"def callback_connect(self):\\n pass\",\n \"def register_callback(cls, backend, callback):\\n cls._callbacks[backend][cls] = callback\",\n \"def __init__(self, callback, *args, **kwargs):\\n self.callback = lambda: callback(*args, **kwargs)\",\n \"def __init__(self, function, instance):\\r\\n self.instance = instance\\r\\n self.function = function\",\n \"def register_active_event(t, callback, args, action_runner, plugin, msg_obj, mutex=None):\\n def func(func_args):\\n action = callback(*func_args)\\n if action:\\n action_runner(action=action, plugin=plugin, msg_obj=msg_obj)\\n register_event(t, func, args, mutex=mutex)\",\n \"def add_action(self, action):\\n self.action = action\",\n \"def add_action(self, action):\\n self.action = action\",\n \"def register( key, obj ):\\n global callbacks\\n callbacks[ key ] = obj\",\n \"def onAction(*args):\",\n \"def onAction(*args):\",\n \"def onAction(*args):\",\n \"def onAction(*args):\",\n \"def register_on_close(self, action):\\n self._action_on_close = action\",\n \"def register_callback(self, func):\\n self.callback = func\",\n \"def call_action(self, action):\\n pass\",\n \"def register_handler(self, handler):\\r\\n self.handler = handler\",\n \"def __init__(self, action=0):\\n self.action = action\",\n \"def auto_discover():\\n auto_registration(\\\"actions\\\")\",\n \"def register_callback(self, obj, button, cmd):\\n uid = self._uid(obj, button)\\n if uid not in self._callbacks:\\n self._callbacks[uid] = {}\\n self._callbacks[uid] = cmd\",\n \"def callback(self):\\n pass # pragma: no cover\",\n \"def _action(self):\\n pass\",\n \"def sync_action(self, renderer, action, with_request):\\n self.set(self._actions[1], renderer.register_callback(self._actions[0], action, with_request))\",\n \"def register_callback(sender, instance, **kwargs):\\n logging.info(str(sender))\\n if not instance.registered and instance.register:\\n host = getattr(settings, \\\"MPESA_HOST_KEY\\\", \\\"http://\\\")\\n biz = instance\\n extra = biz.extra_data().copy()\\n short_name = extra.get(\\\"short_name\\\", biz.short_name())\\n business_details = {}\\n confirmation_url = \\\"{}{}\\\".format(\\n host, reverse(\\n \\\"c2b_confirmation\\\",\\n kwargs={\\\"business\\\": biz.number}))\\n validation_url = \\\"{}{}\\\".format(\\n host, reverse(\\n \\\"c2b_validate\\\",\\n kwargs={\\\"business\\\": biz.number}))\\n business_details[\\\"number\\\"] = biz.number\\n business_details[\\\"SP_ID\\\"] = extra.get(\\\"SP_ID\\\")\\n business_details[\\\"SERVICE_ID\\\"] = extra.get(\\\"SERVICE_ID\\\")\\n business_details[\\\"name\\\"] = short_name\\n business_details[\\\"SP_PASS\\\"] = extra.get(\\\"SP_PASS\\\")\\n business_details[\\\"request_id\\\"] = kwargs.get(\\n \\\"request_id\\\", random.randint(1, 10**5))\\n response = tsk.register_url.delay(\\n validation_url, confirmation_url,\\n business_details,\\n TEST=getattr(settings, \\\"TEST\\\", False))\\n return response\\n return None\",\n \"def register_callback(self, callback: Callable[[], None]) -> None:\\r\\n print(\\\"register callback called\\\")\\r\\n self._callbacks.add(callback)\",\n \"def action(self):\\n pass\",\n \"def action(self):\\n pass\",\n \"def register(self, callback):\\n callback_type = type(callback)\\n\\n if not self.callbacks.get(callback_type):\\n self.callbacks[callback_type] = []\\n\\n self.callbacks[callback_type].append(callback)\",\n \"def register(self, callback, filters = []):\\n\\t\\tself.callbacks.append((callback, filters))\\n\\t\\tself.events[str(callback)] = []\",\n \"def take_action(self, *args, **kwargs):\\r\\n pass\",\n \"def register_callback(self, callback):\\n self._callbacks.append(callback)\",\n \"def publish_action(self, action):\\n raise NotImplementedError\",\n \"def instance_action():\\n data = check_args(\\n ('cloudProvider', 'apiKey', 'secretKey', 'instanceAction',\\n 'instanceId')\\n )\\n job = jobs.instance_action.apply_async(args=(data,))\\n return make_response(job_id=job.id)\",\n \"def nfvi_register_instance_state_change_callback(callback):\\n _compute_plugin.invoke_plugin('register_instance_state_change_callback',\\n callback=callback)\",\n \"def action(self, action):\\n self._action = action\",\n \"def __init__(self):\\n self.actions = []\",\n \"def _register(self, comm, handler):\",\n \"def action(self, action):\\n\\n self._action = action\",\n \"def action(self, discriminator, callable=None, args=(), kw=None, **extra):\\n if kw is None:\\n kw = {}\\n\\n action = extra\\n\\n action.update(dict(\\n discriminator=discriminator,\\n callable=callable,\\n args=args,\\n kw=kw,\\n module_name=self.module_name,\\n order=self.count))\\n\\n self.actions.append(action)\",\n \"def __init__(self, handler):\\n\\n self.event_handler = handler\",\n \"def setup(self):\\n # hook app closing\\n notifier = Krita.instance().notifier()\\n notifier.applicationClosing.connect(self.shuttingDown)\\n\\n extension_name = self.objectName()\\n # value = read_setting(extension_name, \\\"setting_name\\\", default=None)\\n\\n # create actions here and share \\\"instance\\\" to other places.\\n self._activate_arc_welding_action = create_action(\\n name=\\\"activate_arc_welding\\\",\\n text=i18n(\\\"Activate Arc Welding\\\"),\\n triggered=self.activate_arc_welding,\\n parent=self) # I own the action!\\n\\n # when is .action file applied?\\n # write_extension_action_file(self)\",\n \"def __call__(self, state, action):\\n pass\",\n \"def add_plugin(self, cls):\\r\\n command = cls.__module__.split('.')[-1]\\r\\n if command not in self.plugins:\\r\\n self.plugins[command] = {}\\r\\n self.plugins[command][cls.action] = cls\",\n \"def setAction(self, func):\\n\\t\\tself.action = func\",\n \"def action_defined(sender, instance, created, raw, using, **kwargs):\\n if created:\\n raw_hook_event.send(\\n sender=None,\\n event_name=\\\"action_defined\\\",\\n instance=instance,\\n payload=ActionSerializer(instance).data,\\n user=instance.team,\\n )\",\n \"def act(self):\\n pass\",\n \"def _set_callback(self):\\n self.callback_f = None\\n if self.callback:\\n self.callback_f = inspector_mtw(**self.callback_kwargs)\",\n \"def action_run(self):\\n pass\",\n \"def receiveAction(self, action):\\n self.action = action\",\n \"def add_action(self, action: BaseAction):\\n\\n logger.debug(f'registering action {action}')\\n self.actions.append(action)\",\n \"def registerCallback(self, cb, *args):\\n\\n conn = len(self.callbacks)\\n self.callbacks[conn] = (cb, args)\\n return conn\",\n \"def plugin_register_ingest(handle, callback, ingest_ref):\\n global c_callback, c_ingest_ref\\n c_callback = callback\\n c_ingest_ref = ingest_ref\",\n \"def perform_callback(self, *args, **kwargs):\\n pass\",\n \"def register_callbacks(self, cbs):\\n assert isinstance(cbs, dict) # cbs must be a dictionary\\n cbs_key_list = list(cbs.keys())\\n enum_key_list = [enum.value for enum in self._action_type_enum]\\n \\n # TODO replace by check for compulsory keys only, all action types do not apply to all actions\\n #assert(len(set(enum_key_list) - set(cbs_key_list)) == 0)\\n\\n self._cbs = {}\\n for key in cbs_key_list: # check syntax\\n print \\\"Registered callback for action %s\\\" % key\\n self._cbs[key] = cbs[key]\\n rospy.logdebug(\\\"Callbacks registered.\\\")\",\n \"def do_action(self):\\n func = self._get_action_func()\\n func(self)\",\n \"def register_act(key, module):\\n register(key, module, act_dict)\",\n \"def callback(self, *args):\\n raise NotImplementedError()\",\n \"def make_new_handler(self, *args, **kwargs):\",\n \"def nfvi_register_instance_delete_callback(callback):\\n _compute_plugin.invoke_plugin('register_instance_delete_callback',\\n callback=callback)\",\n \"def on_add(self, callback):\\n self._add_callback = callback if callable(callback) else _void\",\n \"def register(self):\\n REGISTERED_FUNCTIONS[self.path] = self\",\n \"def create_callback(self, chain):\",\n \"def add_callback(self, callback):\\n log.debug(\\\"Adding callback {}\\\".format(callback))\\n # pass an interface reference to the callback\\n callback.model_interface = self.interface\\n self.callbacks.append(callback)\",\n \"def OnAdd(self, controller):\\n pass\",\n \"def registered(self):\\n log.info(\\\"Registered.\\\")\\n pass\",\n \"def register_callback(self, callback):\\n if not callable(callback):\\n raise ValueError('callback is not a callable')\\n\\n self.callbacks.append(callback)\",\n \"def register( self, pattern, callback ):\\n self.patterns.append((pattern, callback))\",\n \"def callback(name):\\n f = \\\"on%s\\\" % \\\"\\\".join(x.capitalize() for x in name.split())\\n return lambda: getattr(self, f)()\",\n \"def callback(self, event):\\n button = event[\\\"button\\\"]\\n\\n cmd = self._callbacks.get(self._uuidstr(self.global_id, button), None)\\n cmd = self._callbacks.get(self._uuidstr(event[\\\"name\\\"], button), cmd)\\n cmd = self._callbacks.get(self._uuidstr(event[\\\"instance\\\"], button), cmd)\\n\\n if cmd is None:\\n return\\n if callable(cmd):\\n cmd(event)\\n else:\\n bumblebee.util.execute(cmd, False)\",\n \"def __init__(self, action, resource, instance_id, username, token):\\n self.action = action\\n self.resource = resource\\n self.instance_id = instance_id\\n self.username = username\\n self.token = token\",\n \"def take_action(self, action):\\n getattr(self, action['func'])(\\n *action.get('args', ()), \\n **action.get('kwargs', {})\\n )\",\n \"def add(self, callback, *args, **kwargs):\\n\\n self.list.append((callback, args, kwargs))\",\n \"def add(self, callback):\\n self._callbacks += as_cb_list(callback)\",\n \"def __init__(self, instance, created, signal_type):\\n\\n self.instance = instance\\n self.created = created\\n self.signal_type = signal_type\",\n \"def __init__(self, handler):\\n self.__handler = handler\",\n \"def on_activate(self) -> None:\",\n \"def __init__(self, *args, **kwargs):\\n\\n Action.__init__(self, *args, **kwargs)\\n\\n self.addListener('toggled',\\n 'ToggleAction_{}_internal'.format(id(self)),\\n self.__toggledChanged)\",\n \"def __call__(self):\\n action = self.args.get('action', None)\\n if not hasattr(self, 'action_%s' % (action,)):\\n action = 'plugin_root'\\n\\n action_method = getattr(self, 'action_%s' % (action, ))\\n return action_method()\",\n \"def register_action(self, traced_action, action_type):\\n command, response = traced_action\\n command_placeholder_ids = self._store_placeholders(command)\\n return_placeholder_ids = None\\n\\n if response is not None:\\n return_placeholder_ids = self._store_placeholders(response)\\n if not isinstance(return_placeholder_ids, (list, tuple)):\\n return_placeholder_ids = (return_placeholder_ids,)\\n\\n action = action_type(*command_placeholder_ids, return_ids=return_placeholder_ids)\\n self.actions.append(action)\",\n \"def on_activate(self):\",\n \"def registered(self, status_handler):\\n self.__status_handler = status_handler\",\n \"def act(self) -> None:\\n pass\",\n \"def actions():\\n pass\",\n \"def register(self, content_type, action):\\n content_name = content_type.model_class()._meta.db_table\\n if not content_name in self._registry.keys():\\n HandlerClass = self.get_handler(content_name)\\n handler = HandlerClass(content_type, action)\\n self._registry[content_name] = content_type\\n self._handlers[content_name] = handler\",\n \"def register():\\n signals.initialized.connect(initialize)\\n signals.article_generator_context.connect(add_libravatar)\",\n \"def __wrapped_init__(self, *args, **kwargs):\\n init(self, *args, **kwargs)\\n REGISTRY[name] = self\\n register_event_callbacks(self)\\n\\n resolve_future_dependencies(__provider_name=name)\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.7074271","0.69212306","0.6914295","0.6678117","0.65792686","0.6406543","0.6396015","0.6325683","0.6325683","0.62563324","0.6227942","0.62053627","0.62053627","0.61932707","0.61932707","0.61932707","0.61629814","0.61220556","0.6121512","0.6076169","0.60618335","0.60618335","0.6058937","0.6012843","0.6012843","0.6012843","0.6012843","0.6003036","0.5980284","0.5911491","0.5896647","0.5886567","0.58840984","0.58732855","0.586891","0.5866364","0.586541","0.58644235","0.5826078","0.5822181","0.5822181","0.5802156","0.58013433","0.5796507","0.5792952","0.5772365","0.57716805","0.57693815","0.57484454","0.5730164","0.5727378","0.5721788","0.5698371","0.5683714","0.56711495","0.565083","0.5640213","0.5638944","0.56307346","0.5628887","0.562074","0.56125844","0.56022376","0.5589369","0.55782926","0.5572067","0.5567961","0.55662984","0.5550193","0.5541147","0.55323684","0.5529789","0.552216","0.55217713","0.55189705","0.55183655","0.5515964","0.5511464","0.55090255","0.5505411","0.5490187","0.5488588","0.5482955","0.5482456","0.54806775","0.5455934","0.5455089","0.54475963","0.5443402","0.5431119","0.5429017","0.5418721","0.5414671","0.54076564","0.5394168","0.5375765","0.5371611","0.5370377","0.53699887","0.5365219"],"string":"[\n \"0.7074271\",\n \"0.69212306\",\n \"0.6914295\",\n \"0.6678117\",\n \"0.65792686\",\n \"0.6406543\",\n \"0.6396015\",\n \"0.6325683\",\n \"0.6325683\",\n \"0.62563324\",\n \"0.6227942\",\n \"0.62053627\",\n \"0.62053627\",\n \"0.61932707\",\n \"0.61932707\",\n \"0.61932707\",\n \"0.61629814\",\n \"0.61220556\",\n \"0.6121512\",\n \"0.6076169\",\n \"0.60618335\",\n \"0.60618335\",\n \"0.6058937\",\n \"0.6012843\",\n \"0.6012843\",\n \"0.6012843\",\n \"0.6012843\",\n \"0.6003036\",\n \"0.5980284\",\n \"0.5911491\",\n \"0.5896647\",\n \"0.5886567\",\n \"0.58840984\",\n \"0.58732855\",\n \"0.586891\",\n \"0.5866364\",\n \"0.586541\",\n \"0.58644235\",\n \"0.5826078\",\n \"0.5822181\",\n \"0.5822181\",\n \"0.5802156\",\n \"0.58013433\",\n \"0.5796507\",\n \"0.5792952\",\n \"0.5772365\",\n \"0.57716805\",\n \"0.57693815\",\n \"0.57484454\",\n \"0.5730164\",\n \"0.5727378\",\n \"0.5721788\",\n \"0.5698371\",\n \"0.5683714\",\n \"0.56711495\",\n \"0.565083\",\n \"0.5640213\",\n \"0.5638944\",\n \"0.56307346\",\n \"0.5628887\",\n \"0.562074\",\n \"0.56125844\",\n \"0.56022376\",\n \"0.5589369\",\n \"0.55782926\",\n \"0.5572067\",\n \"0.5567961\",\n \"0.55662984\",\n \"0.5550193\",\n \"0.5541147\",\n \"0.55323684\",\n \"0.5529789\",\n \"0.552216\",\n \"0.55217713\",\n \"0.55189705\",\n \"0.55183655\",\n \"0.5515964\",\n \"0.5511464\",\n \"0.55090255\",\n \"0.5505411\",\n \"0.5490187\",\n \"0.5488588\",\n \"0.5482955\",\n \"0.5482456\",\n \"0.54806775\",\n \"0.5455934\",\n \"0.5455089\",\n \"0.54475963\",\n \"0.5443402\",\n \"0.5431119\",\n \"0.5429017\",\n \"0.5418721\",\n \"0.5414671\",\n \"0.54076564\",\n \"0.5394168\",\n \"0.5375765\",\n \"0.5371611\",\n \"0.5370377\",\n \"0.53699887\",\n \"0.5365219\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.7680887"},"document_rank":{"kind":"string","value":"0"}}},{"rowIdx":20485,"cells":{"query":{"kind":"string","value":"Register for instance delete notifications"},"document":{"kind":"string","value":"def nfvi_register_instance_delete_callback(callback):\n _compute_plugin.invoke_plugin('register_instance_delete_callback',\n callback=callback)"},"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 instance_deleted(sender, instance, **kwargs):\n try:\n if instance.is_registered and not instance.deregister(save=False):\n logger.warn(\"Could not unregister {0} on delete.\".format(\n sender\n ))\n except SNSException:\n # Avoid that invalid arn token cause error when deleting instance\n pass","def on_delete(self, **kwargs):\n self.get_client()\n self.delete(self, kwargs['sender'], kwargs['instance'])","def _notify_delete(self, cuds_object):","def post_delete(cls, sender, instance, **kwargs):\n super(AbstractActivityModelMixin, cls).post_delete(sender, instance,\n **kwargs)\n # need to delete any notifications about this object\n get_activity_model().objects.delete_all_about_object(about=instance)","def delete_callback(self):\n pass","def log_delete(sender, instance, **kwargs):\n if instance.pk is not None:\n changes = model_instance_diff(instance, None)\n\n log_entry = LogEntry.objects.log_create(\n instance,\n action=LogEntry.Action.DELETE,\n changes=json.dumps(changes),\n )\n log_created.send(\n sender=LogEntry,\n old_instance=instance,\n new_instance=None,\n log_instance=log_entry,\n )","def delete_foundation_instance(instance_id):\n locked_instance = get_instance_or_404(instance_id)\n with locked_instance.lock:\n try:\n locked_instance.instance.stop_notifications()\n except AttributeError:\n pass\n STORE.pop(instance_id)\n return '', 204","def versionable_post_delete(self, instance, timestamp):\n pass","def perform_destroy(self, instance):\n pass","def delete_periodic_task(sender, **kwargs):\n instance = kwargs['instance']\n instance.sync_periodic_task(delete=True)","def on_delete(self, payload):\n pass","def beforeDelete(sender, **kwargs):\n toDelete = kwargs['instance']\n\n logger.debug('Deleted image %s', toDelete)","def tag_for_deletion(self, instance_id):\n return self.tag_instance(instance_id, 'Scheduled For Deletion', 'true')","def feed_entry_post_delete(sender, instance, **kwargs):\n del kwargs\n if isinstance(instance, FeedEntry) and (sender == FeedEntry):\n signals.post_delete.disconnect(feed_entry_post_delete, sender=FeedEntry)\n try:\n if instance.command_group and instance.command_group.id is not None:\n instance.command_group.delete()\n except CommandGroupEntry.DoesNotExist:\n pass\n\n signals.post_delete.connect(feed_entry_post_delete, sender=FeedEntry)","def pre_service_instance_delete(self, resource_id):\n pass","def delete(self):\n ...","def on_delete(key):\n pass","def post_service_instance_delete(self, resource_id, resource_dict):\n pass","def versionable_pre_delete(self, instance, timestamp):\n pass","def process_IN_DELETE(self, event):","def delete(self, sender, instance):\n adapter = self.adapters[sender]\n feed = adapter.get_feed_url(instance) or self.feed\n if adapter.can_delete(instance):\n client = self.get_client()\n event_id = CalendarEvent.objects.get_event_id(instance, feed)\n if event_id:\n client.events().delete(calendarId=feed, eventId=event_id).execute()\n CalendarEvent.objects.delete_event_id(instance, feed)","def post_delete_access_attempt(self, instance, **kwargs):","def pre_routing_instance_delete(self, resource_id):\n pass","def help_destroy(self):\n print(\"delete an instance based on the class name and id\")","def delete(self, *args, **kwargs):\n pass","def delete(self, *args, **kwargs):\n pass","def delete_model(self, request, instance):\n pass","def post_routing_instance_delete(self, resource_id, resource_dict):\n pass","def post_delete_metrics(sender, **kwargs):\r\n tags = _database_tags('deleted', sender, kwargs)\r\n\r\n dog_stats_api.increment('edxapp.db.model', tags=tags)","def action_delete():\n try:\n deleted = delete_notification()\n except:\n raise HTTPResponse(body=\"Unexpected error\", status=400)\n \n if deleted:\n return dict(msg=\"Notification deleted\")\n else:\n return dict(msg=\"No notification to delete\")","def destroy(self, request, *args, **kwargs):\n instance = self.get_object()\n\n count_deleted = self.perform_destroy(instance)[0]\n if count_deleted == 0:\n _logger.warning('failed to delete instance id: %s of type: %s',\n instance.id, instance.__class__)\n\n return delete_response(request, count_deleted)","def soft_delete(self, instance):\n self.destroy(instance)","def test_delete_instances(self, instances_count, create_instance):\n instance_name = generate_ids('instance').next()\n create_instance(instance_name, count=instances_count)","def delete(self):\n pass","def delete(self):\n pass","def delete(self):\n pass","def delete(self):\n pass","def tag_post_delete(sender, instance, **kwargs):\n instance.url.delete(False)","def __delete__(self, instance):\r\n self._set_instance_tag_cache(instance, '')","def delete_notification():\r\n name = request.args.get('notif')\r\n logging.info(\"Notification deleted in delete_notification(): \" + name)\r\n for notif in notifications:\r\n if notif['title'] == name:\r\n notifications.remove(notif)","def do_destroy(self, *args):\n args = [ele for ele in args[0].split(' ')]\n if args[0] == '':\n print(\"** class name missing **\")\n return\n if args[0] not in self.list_classes:\n print(\"** class doesn't exist **\")\n return\n if len(args) != 2:\n print(\"** instance id missing **\")\n return\n\n storage.reload()\n dict_objs = storage.all()\n if dict_objs is None or dict_objs == []:\n print(\"** no instance found **\")\n return\n\n key = \"{}.{}\".format(args[0], args[1])\n if key in dict_objs.keys():\n del dict_objs[key]\n storage.save()\n else:\n print(\"** no instance found **\")","def _cleanup_running_deleted_instances(self, context):\n action = CONF.running_deleted_instance_action\n\n if action == \"noop\":\n return\n\n # NOTE(sirp): admin contexts don't ordinarily return deleted records\n with utils.temporary_mutation(context, read_deleted=\"yes\"):\n for instance in self._running_deleted_instances(context):\n if action == \"log\":\n LOG.warning(_LW(\"Detected instance with name label \"\n \"'%s' which is marked as \"\n \"DELETED but still present on host.\"),\n instance.name, instance=instance)\n\n elif action == 'shutdown':\n LOG.info(_LI(\"Powering off instance with name label \"\n \"'%s' which is marked as \"\n \"DELETED but still present on host.\"),\n instance.name, instance=instance)\n try:\n try:\n # disable starting the instance\n self.driver.set_bootable(instance, False)\n except NotImplementedError:\n LOG.debug(\"set_bootable is not implemented \"\n \"for the current driver\")\n # and power it off\n self.driver.power_off(instance)\n except Exception:\n msg = _LW(\"Failed to power off instance\")\n LOG.warn(msg, instance=instance, exc_info=True)\n\n elif action == 'reap':\n LOG.info(_LI(\"Destroying instance with name label \"\n \"'%s' which is marked as \"\n \"DELETED but still present on host.\"),\n instance.name, instance=instance)\n bdms = objects.BlockDeviceMappingList.get_by_instance_uuid(\n context, instance.uuid, use_slave=True)\n self.instance_events.clear_events_for_instance(instance)\n try:\n self._shutdown_instance(context, instance, bdms,\n notify=False)\n self._cleanup_volumes(context, instance.uuid, bdms)\n except Exception as e:\n LOG.warning(_LW(\"Periodic cleanup failed to delete \"\n \"instance: %s\"),\n e, instance=instance)\n else:\n raise Exception(_(\"Unrecognized value '%s'\"\n \" for CONF.running_deleted_\"\n \"instance_action\") % action)","def delete_instance(self, instance: int) -> int:\n return self.get_func(\"DC_DeleteInstance\", [POINTER(c_int)], c_int)(instance)","def test_registration_delete_inactive(dummy_regform, api_delete, api_post):\n registration = dummy_regform.registrations[0]\n registration.is_deleted = True\n signals.event.registration_deleted.send(registration)\n assert api_delete.call_count == 0\n assert api_post.call_count == 0","def test_registration_delete_inactive(dummy_regform, api_delete, api_post):\n registration = dummy_regform.registrations[0]\n registration.is_deleted = True\n signals.event.registration_deleted.send(registration)\n assert api_delete.call_count == 0\n assert api_post.call_count == 0","def delete_upload(sender, **kwargs):\n instance = kwargs['instance']\n path_to_delete = '%s/%s.%s' % (instance.path,instance.uuid,instance.ext)\n if not os.path.isdir(path_to_delete):\n os.unlink(path_to_delete)","def beforeDelete(self):","def process_IN_DELETE_SELF(self, event):","def delete_app_instance(self, instance_id):\n self.stop_app_instance(instance_id)\n aic = self.get_app_instances_configs(instance_id=instance_id)\n # invoking on_uninstall callback , so app can run cleanup routines .\n ai_obj = self.get_app_instance_obj(instance_id)\n try:\n if hasattr(ai_obj,\"on_uninstall\"):\n ai_obj.on_uninstall()\n except Exception as ex:\n log.exception(ex)\n if aic:\n self.app_instances_configs.remove(aic[0])\n self.serialize_instances_config()","def auto_delete_peta_on_delete(sender, instance, **kwargs):\n if instance.path:\n if os.path.isfile(instance.path.path):\n os.remove(instance.path.path)","def __delete__(self, instance):\n self.session.close()","def versionable_delete(self, instance, timestamp):\n instance._delete_at(timestamp, using=self.using)","def perform_destroy(self, instance):\n instance.subscription_set.filter(owner=self.request.user).delete()","def delete(self, *args, **kwargs) -> Any:\n pass","def delete_handler(event, context):\n delete_endpoint_config(event)","def auto_delete_related_models_on_task_delete(sender, instance, **kwargs):\n SkyLabFile.objects.filter(task=instance).delete()\n TaskLog.objects.filter(task=instance).delete()","def delete():","def do_destroy(self, arg):\n arg = arg.split()\n try:\n args = arg[0] + \".\" + arg[1]\n except:\n pass\n objects = storage.all()\n if len(arg) is 0:\n print(\"** class name missing **\")\n elif len(arg) == 1 and arg[0] in self.dict.keys():\n print(\"** instance id missing **\")\n elif arg[0] not in self.dict.keys():\n print(\"** class doesn't exist **\")\n elif args not in objects:\n print(\"** no instance found **\")\n else:\n del objects[args]\n storage.save()","def track_delete(sender, instance, using, **kwargs):\n\n # Since not filtering models, need to filter out the TrackChange, and LogEntry model since we do not need to track them.\n if not isinstance(instance, TrackChange) and not isinstance(instance, LogEntry):\n\n TrackChange.objects.create(\n operation='DE',\n changed_fields='None',\n changed_data='None',\n changed_pk=instance.pk,\n changed_class=sender.__name__,\n )","def post_destroy(self) -> Any:\n raise NotImplementedError","def after_delete(self, obj, st):\n pass","async def delete(self, delete: TPayload) -> None:","def _registration_deleted(self, registration, **kwargs):\n if registration.cern_access_request:\n send_adams_delete_request([registration])\n registration.cern_access_request.request_state = CERNAccessRequestState.withdrawn","def delete(self):\n self._instance.delete()\n self._instance = None\n self._data_defs = []","def delete(self):\n request_pb = messages_v2_pb2.DeleteInstanceRequest(name=self.name)\n # We expect a `google.protobuf.empty_pb2.Empty`\n self._client._instance_stub.DeleteInstance(\n request_pb, self._client.timeout_seconds)","def user_pre_delete(sender, instance: User, **kwargs):\n\n if not hasattr(settings, 'ANYMAIL'):\n log.info(\"Mailgun not configured, skipping mailing list subscription update\")\n return\n\n if not hasattr(settings, 'MAILING_LIST_NEWSLETTER_EMAIL'):\n log.debug(\"Newsletter not configured, skipping mailing list subscription update\")\n return\n\n api_url_base = f\"https://api.mailgun.net/v3\"\n api_url_newsletter = f\"{api_url_base}/lists/{settings.MAILING_LIST_NEWSLETTER_EMAIL}\"\n requests.delete(\n f\"{api_url_newsletter}/members/{instance.email}\",\n auth=('api', settings.ANYMAIL['MAILGUN_API_KEY']),\n )\n log.info(\"Deleted user %i from mailing list\" % instance.id)","def delete(self, notifier_id):\n self.registry.pop(notifier_id)","def delete_instance(instance, user):\n try:\n instance.set_deleted(timezone.now(), user)\n except FormInactiveError as e:\n raise ParseError(str(e)) from e","def delete(self):\n DBSESSION.delete(self)\n DBSESSION.commit()\n LOG.info(f\"Register of {self.str_representation} with id = {self.id} was successfully deleted.\")","def delete_instance(self):\n return self.delete().filter(**{\n self.get_pk_name(): self.get_pk()}).execute()","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 _post_delete(self, instance, **kwargs):\n pk_name = instance._meta.pk.name\n for key in self.cache_fields:\n if key in ('pk', pk_name):\n continue\n # remove pointers\n cache.delete(self._get_from_cache_key(**{key: getattr(instance, key)}))\n # remove actual object\n cache.delete(self._get_from_cache_key(**{pk_name: instance.pk}))","def ticket_deleted(self, ticket):","def delete(self, cls, id):\n pass","def schedule_for_deletion(self, instance_id, creator):\n item = {\n \"InstanceID\": instance_id,\n \"Creator\": creator,\n \"Scheduled For Deletion\": True\n }\n\n return self.low_use.put_item(Item=item)","def do_destroy(self, args):\n args = shlex.split(args)\n dicti = storage.all()\n if not args:\n print(\"** class name missing **\")\n elif not args[0] in name_of_class:\n print(\"** class doesn't exist **\")\n elif len(args) == 1:\n print(\"** instance id missing **\")\n elif \"{}.{}\".format(args[0], args[1]) in dicti:\n dicti.pop(\"{}.{}\".format(args[0], args[1]))\n storage.save()\n else:\n print(\"** no instance found **\")","def delete_instance(self, instance_name, check=True):\n page_instances = self.page_instances()\n\n with page_instances.table_instances.row(\n name=instance_name).dropdown_menu as menu:\n menu.button_toggle.click()\n menu.item_delete.click()\n\n page_instances.form_confirm.submit()\n\n if check:\n self.close_notification('success')\n page_instances.table_instances.row(\n name=instance_name).wait_for_absence(EVENT_TIMEOUT)","def _Delete(self):\n pass","def destroy_watch(kls, id, email, event_type=None, locale=''):\n\n ct = ContentType.objects.get_for_model(kls)\n\n kwargs = {'content_type': ct, 'watch_id': id, 'email': email,\n 'locale': locale}\n if event_type:\n kwargs['event_type'] = event_type\n w = EventWatch.objects.filter(**kwargs)\n count = w.count()\n w.delete()\n return count > 0","def before_delete(self, obj, st):\n pass","def deregister_instance(InstanceId=None):\n pass","def onDestroy(self):\n pass","def do_destroy(self, arg):\n if len(arg) == 0:\n print(\"** class name missing **\")\n return\n coms = tuple(arg.split())\n if coms[0] not in self.cls:\n print(\"** class doesn't exist **\")\n elif len(coms) < 2:\n print(\"** instance id missing **\")\n else:\n obj = coms[0] + \".\" + coms[1]\n if obj not in storage.all().keys():\n print(\"** no instance found **\")\n else:\n del storage.all()[obj]\n storage.save()","def delete(self, _id):","def trigger_delete(cls, instance):\n es_client.delete(instance.blog.index_name(), 'blog_post_index', instance.id)","def __delete__(self):\n pass","def link_delete_callback(self):\n pass","def delete_schedule(sender, instance, **kwargs):\n try:\n instance.schedule_on.delete()\n except (AssertionError, AttributeError) as e:\n print('No on schedule')\n try:\n instance.schedule_off.delete()\n except (AssertionError, AttributeError) as e:\n print('No off schedule')\n try:\n instance.schedule_on.crontab.delete()\n except (AssertionError, AttributeError) as e:\n print('No Crontab on')\n try:\n instance.schedule_off.crontab.delete()\n except (AssertionError, AttributeError) as e:\n print('No Crontab off')","def destroy(self, class_name, inst_id, stored_objects):\n instance = \"{}.{}\".format(class_name, inst_id)\n if instance not in stored_objects:\n print(\"** no instance found **\")\n else:\n del stored_objects[instance]","def delete_individual_subscriptions_for_grupal_subscription(sender, instance, **kwargs):\n if instance.group is not None: # Only for group subscription creation\n users = User.objects.filter(groups__name=instance.group)\n subs = Subscription.objects.filter(user__in=users)\n for sub in subs:\n if sub.alarm == instance.alarm:\n print('%s deleted' % sub)\n sub.delete()","def delete(self):\n logger.warning('Deleting a User.information instance is not allowed.')","def test_registration_delete_active(dummy_regform, api_delete, api_post):\n registration = dummy_regform.registrations[0]\n grant_access([registration], dummy_regform, email_body='body', email_subject='subject')\n assert api_post.call_count == 1\n\n registration.is_deleted = True\n signals.event.registration_deleted.send(registration)\n assert api_delete.call_count == 1\n assert api_post.call_count == 1","def test_registration_delete_active(dummy_regform, api_delete, api_post):\n registration = dummy_regform.registrations[0]\n grant_access([registration], dummy_regform, email_body='body', email_subject='subject')\n assert api_post.call_count == 1\n\n registration.is_deleted = True\n signals.event.registration_deleted.send(registration)\n assert api_delete.call_count == 1\n assert api_post.call_count == 1","def unregister_factory(self, instance):\r\n to_remove = None\r\n for k, v in self._awaiting.items():\r\n if v[\"instance\"] == instance:\r\n to_remove = k\r\n break\r\n if to_remove is not None:\r\n del self._awaiting[to_remove]","def terminate_instances(self, props):\n return self._vm_async_apply(props, 'delete')","def __on_group_deleted(self, logger, *args):","def deleteTask():\n\tmarkOff(isdelete = 1)","def delete(self):\n raise NotImplementedError","def delete(self, **kwargs):\n notifications = Notification.objects.filter(date=self.end_date).delete()\n super(Term, self).delete(**kwargs)"],"string":"[\n \"def instance_deleted(sender, instance, **kwargs):\\n try:\\n if instance.is_registered and not instance.deregister(save=False):\\n logger.warn(\\\"Could not unregister {0} on delete.\\\".format(\\n sender\\n ))\\n except SNSException:\\n # Avoid that invalid arn token cause error when deleting instance\\n pass\",\n \"def on_delete(self, **kwargs):\\n self.get_client()\\n self.delete(self, kwargs['sender'], kwargs['instance'])\",\n \"def _notify_delete(self, cuds_object):\",\n \"def post_delete(cls, sender, instance, **kwargs):\\n super(AbstractActivityModelMixin, cls).post_delete(sender, instance,\\n **kwargs)\\n # need to delete any notifications about this object\\n get_activity_model().objects.delete_all_about_object(about=instance)\",\n \"def delete_callback(self):\\n pass\",\n \"def log_delete(sender, instance, **kwargs):\\n if instance.pk is not None:\\n changes = model_instance_diff(instance, None)\\n\\n log_entry = LogEntry.objects.log_create(\\n instance,\\n action=LogEntry.Action.DELETE,\\n changes=json.dumps(changes),\\n )\\n log_created.send(\\n sender=LogEntry,\\n old_instance=instance,\\n new_instance=None,\\n log_instance=log_entry,\\n )\",\n \"def delete_foundation_instance(instance_id):\\n locked_instance = get_instance_or_404(instance_id)\\n with locked_instance.lock:\\n try:\\n locked_instance.instance.stop_notifications()\\n except AttributeError:\\n pass\\n STORE.pop(instance_id)\\n return '', 204\",\n \"def versionable_post_delete(self, instance, timestamp):\\n pass\",\n \"def perform_destroy(self, instance):\\n pass\",\n \"def delete_periodic_task(sender, **kwargs):\\n instance = kwargs['instance']\\n instance.sync_periodic_task(delete=True)\",\n \"def on_delete(self, payload):\\n pass\",\n \"def beforeDelete(sender, **kwargs):\\n toDelete = kwargs['instance']\\n\\n logger.debug('Deleted image %s', toDelete)\",\n \"def tag_for_deletion(self, instance_id):\\n return self.tag_instance(instance_id, 'Scheduled For Deletion', 'true')\",\n \"def feed_entry_post_delete(sender, instance, **kwargs):\\n del kwargs\\n if isinstance(instance, FeedEntry) and (sender == FeedEntry):\\n signals.post_delete.disconnect(feed_entry_post_delete, sender=FeedEntry)\\n try:\\n if instance.command_group and instance.command_group.id is not None:\\n instance.command_group.delete()\\n except CommandGroupEntry.DoesNotExist:\\n pass\\n\\n signals.post_delete.connect(feed_entry_post_delete, sender=FeedEntry)\",\n \"def pre_service_instance_delete(self, resource_id):\\n pass\",\n \"def delete(self):\\n ...\",\n \"def on_delete(key):\\n pass\",\n \"def post_service_instance_delete(self, resource_id, resource_dict):\\n pass\",\n \"def versionable_pre_delete(self, instance, timestamp):\\n pass\",\n \"def process_IN_DELETE(self, event):\",\n \"def delete(self, sender, instance):\\n adapter = self.adapters[sender]\\n feed = adapter.get_feed_url(instance) or self.feed\\n if adapter.can_delete(instance):\\n client = self.get_client()\\n event_id = CalendarEvent.objects.get_event_id(instance, feed)\\n if event_id:\\n client.events().delete(calendarId=feed, eventId=event_id).execute()\\n CalendarEvent.objects.delete_event_id(instance, feed)\",\n \"def post_delete_access_attempt(self, instance, **kwargs):\",\n \"def pre_routing_instance_delete(self, resource_id):\\n pass\",\n \"def help_destroy(self):\\n print(\\\"delete an instance based on the class name and id\\\")\",\n \"def delete(self, *args, **kwargs):\\n pass\",\n \"def delete(self, *args, **kwargs):\\n pass\",\n \"def delete_model(self, request, instance):\\n pass\",\n \"def post_routing_instance_delete(self, resource_id, resource_dict):\\n pass\",\n \"def post_delete_metrics(sender, **kwargs):\\r\\n tags = _database_tags('deleted', sender, kwargs)\\r\\n\\r\\n dog_stats_api.increment('edxapp.db.model', tags=tags)\",\n \"def action_delete():\\n try:\\n deleted = delete_notification()\\n except:\\n raise HTTPResponse(body=\\\"Unexpected error\\\", status=400)\\n \\n if deleted:\\n return dict(msg=\\\"Notification deleted\\\")\\n else:\\n return dict(msg=\\\"No notification to delete\\\")\",\n \"def destroy(self, request, *args, **kwargs):\\n instance = self.get_object()\\n\\n count_deleted = self.perform_destroy(instance)[0]\\n if count_deleted == 0:\\n _logger.warning('failed to delete instance id: %s of type: %s',\\n instance.id, instance.__class__)\\n\\n return delete_response(request, count_deleted)\",\n \"def soft_delete(self, instance):\\n self.destroy(instance)\",\n \"def test_delete_instances(self, instances_count, create_instance):\\n instance_name = generate_ids('instance').next()\\n create_instance(instance_name, count=instances_count)\",\n \"def delete(self):\\n pass\",\n \"def delete(self):\\n pass\",\n \"def delete(self):\\n pass\",\n \"def delete(self):\\n pass\",\n \"def tag_post_delete(sender, instance, **kwargs):\\n instance.url.delete(False)\",\n \"def __delete__(self, instance):\\r\\n self._set_instance_tag_cache(instance, '')\",\n \"def delete_notification():\\r\\n name = request.args.get('notif')\\r\\n logging.info(\\\"Notification deleted in delete_notification(): \\\" + name)\\r\\n for notif in notifications:\\r\\n if notif['title'] == name:\\r\\n notifications.remove(notif)\",\n \"def do_destroy(self, *args):\\n args = [ele for ele in args[0].split(' ')]\\n if args[0] == '':\\n print(\\\"** class name missing **\\\")\\n return\\n if args[0] not in self.list_classes:\\n print(\\\"** class doesn't exist **\\\")\\n return\\n if len(args) != 2:\\n print(\\\"** instance id missing **\\\")\\n return\\n\\n storage.reload()\\n dict_objs = storage.all()\\n if dict_objs is None or dict_objs == []:\\n print(\\\"** no instance found **\\\")\\n return\\n\\n key = \\\"{}.{}\\\".format(args[0], args[1])\\n if key in dict_objs.keys():\\n del dict_objs[key]\\n storage.save()\\n else:\\n print(\\\"** no instance found **\\\")\",\n \"def _cleanup_running_deleted_instances(self, context):\\n action = CONF.running_deleted_instance_action\\n\\n if action == \\\"noop\\\":\\n return\\n\\n # NOTE(sirp): admin contexts don't ordinarily return deleted records\\n with utils.temporary_mutation(context, read_deleted=\\\"yes\\\"):\\n for instance in self._running_deleted_instances(context):\\n if action == \\\"log\\\":\\n LOG.warning(_LW(\\\"Detected instance with name label \\\"\\n \\\"'%s' which is marked as \\\"\\n \\\"DELETED but still present on host.\\\"),\\n instance.name, instance=instance)\\n\\n elif action == 'shutdown':\\n LOG.info(_LI(\\\"Powering off instance with name label \\\"\\n \\\"'%s' which is marked as \\\"\\n \\\"DELETED but still present on host.\\\"),\\n instance.name, instance=instance)\\n try:\\n try:\\n # disable starting the instance\\n self.driver.set_bootable(instance, False)\\n except NotImplementedError:\\n LOG.debug(\\\"set_bootable is not implemented \\\"\\n \\\"for the current driver\\\")\\n # and power it off\\n self.driver.power_off(instance)\\n except Exception:\\n msg = _LW(\\\"Failed to power off instance\\\")\\n LOG.warn(msg, instance=instance, exc_info=True)\\n\\n elif action == 'reap':\\n LOG.info(_LI(\\\"Destroying instance with name label \\\"\\n \\\"'%s' which is marked as \\\"\\n \\\"DELETED but still present on host.\\\"),\\n instance.name, instance=instance)\\n bdms = objects.BlockDeviceMappingList.get_by_instance_uuid(\\n context, instance.uuid, use_slave=True)\\n self.instance_events.clear_events_for_instance(instance)\\n try:\\n self._shutdown_instance(context, instance, bdms,\\n notify=False)\\n self._cleanup_volumes(context, instance.uuid, bdms)\\n except Exception as e:\\n LOG.warning(_LW(\\\"Periodic cleanup failed to delete \\\"\\n \\\"instance: %s\\\"),\\n e, instance=instance)\\n else:\\n raise Exception(_(\\\"Unrecognized value '%s'\\\"\\n \\\" for CONF.running_deleted_\\\"\\n \\\"instance_action\\\") % action)\",\n \"def delete_instance(self, instance: int) -> int:\\n return self.get_func(\\\"DC_DeleteInstance\\\", [POINTER(c_int)], c_int)(instance)\",\n \"def test_registration_delete_inactive(dummy_regform, api_delete, api_post):\\n registration = dummy_regform.registrations[0]\\n registration.is_deleted = True\\n signals.event.registration_deleted.send(registration)\\n assert api_delete.call_count == 0\\n assert api_post.call_count == 0\",\n \"def test_registration_delete_inactive(dummy_regform, api_delete, api_post):\\n registration = dummy_regform.registrations[0]\\n registration.is_deleted = True\\n signals.event.registration_deleted.send(registration)\\n assert api_delete.call_count == 0\\n assert api_post.call_count == 0\",\n \"def delete_upload(sender, **kwargs):\\n instance = kwargs['instance']\\n path_to_delete = '%s/%s.%s' % (instance.path,instance.uuid,instance.ext)\\n if not os.path.isdir(path_to_delete):\\n os.unlink(path_to_delete)\",\n \"def beforeDelete(self):\",\n \"def process_IN_DELETE_SELF(self, event):\",\n \"def delete_app_instance(self, instance_id):\\n self.stop_app_instance(instance_id)\\n aic = self.get_app_instances_configs(instance_id=instance_id)\\n # invoking on_uninstall callback , so app can run cleanup routines .\\n ai_obj = self.get_app_instance_obj(instance_id)\\n try:\\n if hasattr(ai_obj,\\\"on_uninstall\\\"):\\n ai_obj.on_uninstall()\\n except Exception as ex:\\n log.exception(ex)\\n if aic:\\n self.app_instances_configs.remove(aic[0])\\n self.serialize_instances_config()\",\n \"def auto_delete_peta_on_delete(sender, instance, **kwargs):\\n if instance.path:\\n if os.path.isfile(instance.path.path):\\n os.remove(instance.path.path)\",\n \"def __delete__(self, instance):\\n self.session.close()\",\n \"def versionable_delete(self, instance, timestamp):\\n instance._delete_at(timestamp, using=self.using)\",\n \"def perform_destroy(self, instance):\\n instance.subscription_set.filter(owner=self.request.user).delete()\",\n \"def delete(self, *args, **kwargs) -> Any:\\n pass\",\n \"def delete_handler(event, context):\\n delete_endpoint_config(event)\",\n \"def auto_delete_related_models_on_task_delete(sender, instance, **kwargs):\\n SkyLabFile.objects.filter(task=instance).delete()\\n TaskLog.objects.filter(task=instance).delete()\",\n \"def delete():\",\n \"def do_destroy(self, arg):\\n arg = arg.split()\\n try:\\n args = arg[0] + \\\".\\\" + arg[1]\\n except:\\n pass\\n objects = storage.all()\\n if len(arg) is 0:\\n print(\\\"** class name missing **\\\")\\n elif len(arg) == 1 and arg[0] in self.dict.keys():\\n print(\\\"** instance id missing **\\\")\\n elif arg[0] not in self.dict.keys():\\n print(\\\"** class doesn't exist **\\\")\\n elif args not in objects:\\n print(\\\"** no instance found **\\\")\\n else:\\n del objects[args]\\n storage.save()\",\n \"def track_delete(sender, instance, using, **kwargs):\\n\\n # Since not filtering models, need to filter out the TrackChange, and LogEntry model since we do not need to track them.\\n if not isinstance(instance, TrackChange) and not isinstance(instance, LogEntry):\\n\\n TrackChange.objects.create(\\n operation='DE',\\n changed_fields='None',\\n changed_data='None',\\n changed_pk=instance.pk,\\n changed_class=sender.__name__,\\n )\",\n \"def post_destroy(self) -> Any:\\n raise NotImplementedError\",\n \"def after_delete(self, obj, st):\\n pass\",\n \"async def delete(self, delete: TPayload) -> None:\",\n \"def _registration_deleted(self, registration, **kwargs):\\n if registration.cern_access_request:\\n send_adams_delete_request([registration])\\n registration.cern_access_request.request_state = CERNAccessRequestState.withdrawn\",\n \"def delete(self):\\n self._instance.delete()\\n self._instance = None\\n self._data_defs = []\",\n \"def delete(self):\\n request_pb = messages_v2_pb2.DeleteInstanceRequest(name=self.name)\\n # We expect a `google.protobuf.empty_pb2.Empty`\\n self._client._instance_stub.DeleteInstance(\\n request_pb, self._client.timeout_seconds)\",\n \"def user_pre_delete(sender, instance: User, **kwargs):\\n\\n if not hasattr(settings, 'ANYMAIL'):\\n log.info(\\\"Mailgun not configured, skipping mailing list subscription update\\\")\\n return\\n\\n if not hasattr(settings, 'MAILING_LIST_NEWSLETTER_EMAIL'):\\n log.debug(\\\"Newsletter not configured, skipping mailing list subscription update\\\")\\n return\\n\\n api_url_base = f\\\"https://api.mailgun.net/v3\\\"\\n api_url_newsletter = f\\\"{api_url_base}/lists/{settings.MAILING_LIST_NEWSLETTER_EMAIL}\\\"\\n requests.delete(\\n f\\\"{api_url_newsletter}/members/{instance.email}\\\",\\n auth=('api', settings.ANYMAIL['MAILGUN_API_KEY']),\\n )\\n log.info(\\\"Deleted user %i from mailing list\\\" % instance.id)\",\n \"def delete(self, notifier_id):\\n self.registry.pop(notifier_id)\",\n \"def delete_instance(instance, user):\\n try:\\n instance.set_deleted(timezone.now(), user)\\n except FormInactiveError as e:\\n raise ParseError(str(e)) from e\",\n \"def delete(self):\\n DBSESSION.delete(self)\\n DBSESSION.commit()\\n LOG.info(f\\\"Register of {self.str_representation} with id = {self.id} was successfully deleted.\\\")\",\n \"def delete_instance(self):\\n return self.delete().filter(**{\\n self.get_pk_name(): self.get_pk()}).execute()\",\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 _post_delete(self, instance, **kwargs):\\n pk_name = instance._meta.pk.name\\n for key in self.cache_fields:\\n if key in ('pk', pk_name):\\n continue\\n # remove pointers\\n cache.delete(self._get_from_cache_key(**{key: getattr(instance, key)}))\\n # remove actual object\\n cache.delete(self._get_from_cache_key(**{pk_name: instance.pk}))\",\n \"def ticket_deleted(self, ticket):\",\n \"def delete(self, cls, id):\\n pass\",\n \"def schedule_for_deletion(self, instance_id, creator):\\n item = {\\n \\\"InstanceID\\\": instance_id,\\n \\\"Creator\\\": creator,\\n \\\"Scheduled For Deletion\\\": True\\n }\\n\\n return self.low_use.put_item(Item=item)\",\n \"def do_destroy(self, args):\\n args = shlex.split(args)\\n dicti = storage.all()\\n if not args:\\n print(\\\"** class name missing **\\\")\\n elif not args[0] in name_of_class:\\n print(\\\"** class doesn't exist **\\\")\\n elif len(args) == 1:\\n print(\\\"** instance id missing **\\\")\\n elif \\\"{}.{}\\\".format(args[0], args[1]) in dicti:\\n dicti.pop(\\\"{}.{}\\\".format(args[0], args[1]))\\n storage.save()\\n else:\\n print(\\\"** no instance found **\\\")\",\n \"def delete_instance(self, instance_name, check=True):\\n page_instances = self.page_instances()\\n\\n with page_instances.table_instances.row(\\n name=instance_name).dropdown_menu as menu:\\n menu.button_toggle.click()\\n menu.item_delete.click()\\n\\n page_instances.form_confirm.submit()\\n\\n if check:\\n self.close_notification('success')\\n page_instances.table_instances.row(\\n name=instance_name).wait_for_absence(EVENT_TIMEOUT)\",\n \"def _Delete(self):\\n pass\",\n \"def destroy_watch(kls, id, email, event_type=None, locale=''):\\n\\n ct = ContentType.objects.get_for_model(kls)\\n\\n kwargs = {'content_type': ct, 'watch_id': id, 'email': email,\\n 'locale': locale}\\n if event_type:\\n kwargs['event_type'] = event_type\\n w = EventWatch.objects.filter(**kwargs)\\n count = w.count()\\n w.delete()\\n return count > 0\",\n \"def before_delete(self, obj, st):\\n pass\",\n \"def deregister_instance(InstanceId=None):\\n pass\",\n \"def onDestroy(self):\\n pass\",\n \"def do_destroy(self, arg):\\n if len(arg) == 0:\\n print(\\\"** class name missing **\\\")\\n return\\n coms = tuple(arg.split())\\n if coms[0] not in self.cls:\\n print(\\\"** class doesn't exist **\\\")\\n elif len(coms) < 2:\\n print(\\\"** instance id missing **\\\")\\n else:\\n obj = coms[0] + \\\".\\\" + coms[1]\\n if obj not in storage.all().keys():\\n print(\\\"** no instance found **\\\")\\n else:\\n del storage.all()[obj]\\n storage.save()\",\n \"def delete(self, _id):\",\n \"def trigger_delete(cls, instance):\\n es_client.delete(instance.blog.index_name(), 'blog_post_index', instance.id)\",\n \"def __delete__(self):\\n pass\",\n \"def link_delete_callback(self):\\n pass\",\n \"def delete_schedule(sender, instance, **kwargs):\\n try:\\n instance.schedule_on.delete()\\n except (AssertionError, AttributeError) as e:\\n print('No on schedule')\\n try:\\n instance.schedule_off.delete()\\n except (AssertionError, AttributeError) as e:\\n print('No off schedule')\\n try:\\n instance.schedule_on.crontab.delete()\\n except (AssertionError, AttributeError) as e:\\n print('No Crontab on')\\n try:\\n instance.schedule_off.crontab.delete()\\n except (AssertionError, AttributeError) as e:\\n print('No Crontab off')\",\n \"def destroy(self, class_name, inst_id, stored_objects):\\n instance = \\\"{}.{}\\\".format(class_name, inst_id)\\n if instance not in stored_objects:\\n print(\\\"** no instance found **\\\")\\n else:\\n del stored_objects[instance]\",\n \"def delete_individual_subscriptions_for_grupal_subscription(sender, instance, **kwargs):\\n if instance.group is not None: # Only for group subscription creation\\n users = User.objects.filter(groups__name=instance.group)\\n subs = Subscription.objects.filter(user__in=users)\\n for sub in subs:\\n if sub.alarm == instance.alarm:\\n print('%s deleted' % sub)\\n sub.delete()\",\n \"def delete(self):\\n logger.warning('Deleting a User.information instance is not allowed.')\",\n \"def test_registration_delete_active(dummy_regform, api_delete, api_post):\\n registration = dummy_regform.registrations[0]\\n grant_access([registration], dummy_regform, email_body='body', email_subject='subject')\\n assert api_post.call_count == 1\\n\\n registration.is_deleted = True\\n signals.event.registration_deleted.send(registration)\\n assert api_delete.call_count == 1\\n assert api_post.call_count == 1\",\n \"def test_registration_delete_active(dummy_regform, api_delete, api_post):\\n registration = dummy_regform.registrations[0]\\n grant_access([registration], dummy_regform, email_body='body', email_subject='subject')\\n assert api_post.call_count == 1\\n\\n registration.is_deleted = True\\n signals.event.registration_deleted.send(registration)\\n assert api_delete.call_count == 1\\n assert api_post.call_count == 1\",\n \"def unregister_factory(self, instance):\\r\\n to_remove = None\\r\\n for k, v in self._awaiting.items():\\r\\n if v[\\\"instance\\\"] == instance:\\r\\n to_remove = k\\r\\n break\\r\\n if to_remove is not None:\\r\\n del self._awaiting[to_remove]\",\n \"def terminate_instances(self, props):\\n return self._vm_async_apply(props, 'delete')\",\n \"def __on_group_deleted(self, logger, *args):\",\n \"def deleteTask():\\n\\tmarkOff(isdelete = 1)\",\n \"def delete(self):\\n raise NotImplementedError\",\n \"def delete(self, **kwargs):\\n notifications = Notification.objects.filter(date=self.end_date).delete()\\n super(Term, self).delete(**kwargs)\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.76734793","0.68456256","0.68105817","0.6704218","0.6531352","0.64356196","0.64344245","0.6396667","0.6394052","0.63885456","0.6359043","0.63569456","0.6322837","0.6291785","0.6286276","0.6241265","0.6239672","0.62179923","0.6175801","0.6137316","0.61151755","0.61104286","0.61084425","0.61026627","0.60752106","0.60752106","0.6072979","0.60709316","0.6047978","0.6042728","0.601931","0.59818655","0.5979821","0.5935283","0.5935283","0.5935283","0.5935283","0.5924313","0.59169203","0.5909934","0.58957916","0.58722943","0.5857339","0.5848024","0.5848024","0.5844446","0.5818875","0.5799433","0.57912517","0.57823026","0.57780576","0.57746804","0.57599956","0.57548964","0.57504255","0.5742719","0.57400864","0.5720166","0.57196635","0.56826997","0.56754863","0.5673786","0.56693894","0.5658488","0.565566","0.56549126","0.5649174","0.56461424","0.563709","0.56361943","0.5635806","0.5635806","0.5634695","0.5626532","0.5622635","0.5614578","0.5614447","0.56104887","0.56097317","0.5605106","0.56003314","0.55948687","0.55917877","0.55829185","0.5564951","0.5563607","0.5562928","0.5562206","0.55558044","0.55485284","0.55442154","0.5544094","0.55401045","0.55401045","0.5531435","0.5526251","0.5526054","0.5521455","0.55195343","0.55125874"],"string":"[\n \"0.76734793\",\n \"0.68456256\",\n \"0.68105817\",\n \"0.6704218\",\n \"0.6531352\",\n \"0.64356196\",\n \"0.64344245\",\n \"0.6396667\",\n \"0.6394052\",\n \"0.63885456\",\n \"0.6359043\",\n \"0.63569456\",\n \"0.6322837\",\n \"0.6291785\",\n \"0.6286276\",\n \"0.6241265\",\n \"0.6239672\",\n \"0.62179923\",\n \"0.6175801\",\n \"0.6137316\",\n \"0.61151755\",\n \"0.61104286\",\n \"0.61084425\",\n \"0.61026627\",\n \"0.60752106\",\n \"0.60752106\",\n \"0.6072979\",\n \"0.60709316\",\n \"0.6047978\",\n \"0.6042728\",\n \"0.601931\",\n \"0.59818655\",\n \"0.5979821\",\n \"0.5935283\",\n \"0.5935283\",\n \"0.5935283\",\n \"0.5935283\",\n \"0.5924313\",\n \"0.59169203\",\n \"0.5909934\",\n \"0.58957916\",\n \"0.58722943\",\n \"0.5857339\",\n \"0.5848024\",\n \"0.5848024\",\n \"0.5844446\",\n \"0.5818875\",\n \"0.5799433\",\n \"0.57912517\",\n \"0.57823026\",\n \"0.57780576\",\n \"0.57746804\",\n \"0.57599956\",\n \"0.57548964\",\n \"0.57504255\",\n \"0.5742719\",\n \"0.57400864\",\n \"0.5720166\",\n \"0.57196635\",\n \"0.56826997\",\n \"0.56754863\",\n \"0.5673786\",\n \"0.56693894\",\n \"0.5658488\",\n \"0.565566\",\n \"0.56549126\",\n \"0.5649174\",\n \"0.56461424\",\n \"0.563709\",\n \"0.56361943\",\n \"0.5635806\",\n \"0.5635806\",\n \"0.5634695\",\n \"0.5626532\",\n \"0.5622635\",\n \"0.5614578\",\n \"0.5614447\",\n \"0.56104887\",\n \"0.56097317\",\n \"0.5605106\",\n \"0.56003314\",\n \"0.55948687\",\n \"0.55917877\",\n \"0.55829185\",\n \"0.5564951\",\n \"0.5563607\",\n \"0.5562928\",\n \"0.5562206\",\n \"0.55558044\",\n \"0.55485284\",\n \"0.55442154\",\n \"0.5544094\",\n \"0.55401045\",\n \"0.55401045\",\n \"0.5531435\",\n \"0.5526251\",\n \"0.5526054\",\n \"0.5521455\",\n \"0.55195343\",\n \"0.55125874\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.6672126"},"document_rank":{"kind":"string","value":"4"}}},{"rowIdx":20486,"cells":{"query":{"kind":"string","value":"Notify compute host is enabled"},"document":{"kind":"string","value":"def nfvi_notify_compute_host_enabled(host_uuid, host_name, host_personality,\n callback):\n cmd_id = _compute_plugin.invoke_plugin('notify_host_enabled',\n host_uuid, host_name,\n host_personality,\n callback=callback)\n return cmd_id"},"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 nfvi_notify_compute_host_disabled(host_uuid, host_name, host_personality,\n callback):\n cmd_id = _compute_plugin.invoke_plugin('notify_host_disabled',\n host_uuid, host_name,\n host_personality,\n callback=callback)\n return cmd_id","def nfvi_enable_compute_host_services(host_uuid, host_name, host_personality,\n callback):\n cmd_id = _compute_plugin.invoke_plugin('enable_host_services',\n host_uuid, host_name,\n host_personality,\n callback=callback)\n return cmd_id","def set_host_enabled(self, host, enabled):\n if enabled:\n return 'enabled'\n return 'disabled'","def set_host_enabled(self, host, enabled):\n if enabled:\n return 'enabled'\n return 'disabled'","def enable(self):\n # Netmiko reports enable and config mode as being enabled\n if not self.native.check_enable_mode():\n self.native.enable()\n # Ensure device is not in config mode\n if self.native.check_config_mode():\n self.native.exit_config_mode()\n\n log.debug(\"Host %s: Device enabled.\", self.host)","def on_enable(self) -> None:\n if self._send_notification_func:\n self._send_notification_func()\n self._send_notification_func = None","def enable_host(self, name):\n from soppa.local import aslocal\n self.guest_ip = self.guest_ip()\n self.guest_host_name = name\n # Host (remote) change\n self.file.set_setting('/etc/hosts', '{0} {1}'.format('127.0.0.1', self.guest_host_name))\n # local change\n aslocal()\n self.file.set_setting('/etc/hosts', '{0} {1}'.format(self.guest_ip, name))","def scp_enable(task):\n cmd = \"ip scp server enable\"\n task.run(task=netmiko_send_config, config_commands=cmd)\n c_print(f\"*** {task.host}: SCP has been enabled ***\")","def ceph_enabled(self):","def enabled_on_host() -> Callable[[Loader.ModInfo], bool]:\n def filter_fn(mod_info: Loader.ModInfo) -> bool:\n if len(mod_info.mod_def.hostnames) == 0:\n return True\n\n if HOSTNAME not in mod_info.mod_def.hostnames:\n _LOG.info(\n f\"{mod_info.mod_def.name} is not enabled for host {HOSTNAME}\"\n )\n return False\n return True\n\n return filter_fn","def test_reports_enabled_hosts_as_up(self):\n compute1 = self.start_service('compute', host='host1')\n compute2 = self.start_service('compute', host='host2')\n hosts = self.scheduler.driver.hosts_up(self.context, 'compute')\n self.assertEqual(2, len(hosts))\n compute1.kill()\n compute2.kill()","def test_doesnt_report_disabled_hosts_as_up2(self):\n compute1 = self.start_service('compute', host='host1')\n compute2 = self.start_service('compute', host='host2')\n s1 = db.service_get_by_args(self.context, 'host1', 'nova-compute')\n s2 = db.service_get_by_args(self.context, 'host2', 'nova-compute')\n db.service_update(self.context, s1['id'], {'disabled': True})\n db.service_update(self.context, s2['id'], {'disabled': True})\n hosts = self.scheduler.driver.hosts_up(self.context, 'compute')\n self.assertEqual(0, len(hosts))\n compute1.kill()\n compute2.kill()","def enableNotify(self):\n while True:\n self._delegate.notificationsRecvd = 0\n self._peripheral.writeCharacteristic(self._readChar.valHandle + 1, b\"\\x01\\x00\")\n self.ping()\n self._peripheral.waitForNotifications(3.0)\n if self.getNotificationsReceived() > 0:\n break\n logging.getLogger(\"anki.overdrive\").error(\"ERROR - Set notify failed - cannot communicate with car!\")","def test_doesnt_report_disabled_hosts_as_up_no_queue(self):\n # NOTE(vish): constructing service without create method\n # because we are going to use it without queue\n compute1 = service.Service('host1',\n 'nova-compute',\n 'compute',\n FLAGS.compute_manager)\n compute1.start()\n compute2 = service.Service('host2',\n 'nova-compute',\n 'compute',\n FLAGS.compute_manager)\n compute2.start()\n s1 = db.service_get_by_args(self.context, 'host1', 'nova-compute')\n s2 = db.service_get_by_args(self.context, 'host2', 'nova-compute')\n db.service_update(self.context, s1['id'], {'disabled': True})\n db.service_update(self.context, s2['id'], {'disabled': True})\n hosts = self.scheduler.driver.hosts_up(self.context, 'compute')\n self.assertEqual(0, len(hosts))\n compute1.kill()\n compute2.kill()","def enable(self):\n self._logger.debug(\"%s: request to enable monitoring\",\n self.ping_address)\n if self._monitor_enabled:\n return\n self._is_stale = False\n self._enable_monitor()","def nfvi_disable_compute_host_services(host_uuid, host_name, host_personality,\n callback):\n cmd_id = _compute_plugin.invoke_plugin('disable_host_services',\n host_uuid, host_name,\n host_personality,\n callback=callback)\n return cmd_id","def enable(ctx):\n\n config_db = ConfigDBConnector()\n config_db.connect()\n config_db.mod_entry(\"NAT_GLOBAL\", \"Values\", {\"admin_mode\": \"enabled\"})","def is_host_on(self):\n status = False\n cmd = \"/usr/local/bin/wedge_power.sh status\"\n data = run_shell_cmd(cmd)\n Logger.info(\"[FSCD Testing] Executing cmd= [{}]\".format(cmd))\n Logger.info(\"[FSCD Testing] Received data= [{}]\".format(data))\n if \"on\" in data:\n status = True\n Logger.info(\"[FSCD Testing] userver power status {}\".format(status))\n return status","def check_host(host):\n try:\n request = requests.get(host[0], timeout=3)\n host[1] = bool(re.search(host[1], request.text))\n except Exception:\n host[1] = False\n if host[1] is False:\n os.system(CONFIG['mail_command'].format(\n 'CRITICAL: {} is critical'.format(host[0])))\n\n return host","def test_reports_enabled_hosts_as_up_no_queue(self):\n # NOTE(vish): constructing service without create method\n # because we are going to use it without queue\n compute1 = service.Service('host1',\n 'nova-compute',\n 'compute',\n FLAGS.compute_manager)\n compute1.start()\n compute2 = service.Service('host2',\n 'nova-compute',\n 'compute',\n FLAGS.compute_manager)\n compute2.start()\n hosts = self.scheduler.driver.hosts_up(self.context, 'compute')\n self.assertEqual(2, len(hosts))\n compute1.kill()\n compute2.kill()","def nfvi_compute_plugin_disabled():\n return (_compute_plugin is None)","def set_online(rg = None):\n if isinstance(rg, int):\n rg = [rg]\n\n if rg is None:\n _cpu.enable_all_cpu()\n print(\"All CPUs enabled.\")\n else:\n for core in rg:\n try:\n _cpu.enable_cpu(core)\n if _verbose:\n print(f\"CPU {core} set online.\")\n except:\n print(f\"ERROR: An exception occurred. Check if CPU {core} exists.\")","async def execute_host(self):\n return True","def node_host_status(self, node):\n if node.is_online() or node.is_unreachable():\n return self.HOST_MONITORED\n else:\n return self.HOST_UNMONITORED","async def _cmdf_pmenable(self, substr, msg, privilege_level):\n enabled_str = None\n if utils.str_says_true(substr) or (len(substr) == 0):\n self._pm_msg_isenabled = True\n enabled_str = \"enabled.\"\n else:\n self._pm_msg_isenabled = False\n enabled_str = \"disabled.\"\n self._save_settings()\n\n buf = \"PM greetings is now \" + enabled_str\n await self._client.send_msg(msg, buf)\n return","async def power_on(self):\n ...","def on_enable(self) -> None:\n if self.app.state == self.app.States.clean:\n self._start_notification_cycle()","def enable():\n request = dict(id='gbn')\n _gbn_enable(request)","def power_on(self, sync=True, wait_for_guest_ready=True):\n self.vmomi_object.PowerOn()\n if sync: self._wait_for_power_on(wait_for_guest_ready)","def autodisable_cloud(cloud):\n log.warning(\"Autodisabling %s\", cloud)\n cloud.ctl.disable()\n title = \"Cloud %s has been automatically disabled\" % cloud.name\n message = \"%s after multiple failures to connect to it.\" % title\n notify_user(cloud.owner, title=title, message=message, email_notify=True)","def enable_health(self):\n return self._enable_health","def _vm_disable_host(zx, vm, log=None):\n log = log or zx.log\n hostid = zx.get_hostid(vm, log=log)\n\n if not hostid:\n log(ERROR, 'Zabbix host for VM %s does not exist!', vm)\n return False\n\n log(WARNING, 'Setting Zabbix host ID \"%s\" status to unmonitored for VM %s', hostid, vm)\n\n if zx.update_host(hostid, log=log, status=zx.HOST_UNMONITORED):\n log(INFO, 'Updated Zabbix host ID \"%s\" status to unmonitored', hostid)\n zx.save_host_info(vm, log=log)\n return True\n else:\n log(ERROR, 'Could not update Zabbix host ID \"%s\" status to unmonitored', hostid)\n return False","async def enable_ping(\n client,\n event,\n allow: ('bool', 'Enable?') = True,\n):\n guild = event.guild\n if guild is None:\n abort('Guild only command.')\n \n if not event.user_permissions.can_administrator:\n abort('You must have administrator permission to invoke this command.')\n \n application_commands = await client.application_command_guild_get_all(guild)\n for application_command in application_commands:\n # If you are not working with overlapping names, a name check should be enough.\n if application_command.name == ping.name:\n command_present = True\n break\n else:\n command_present = False\n \n if allow:\n if command_present:\n content = 'The command is already present.'\n else:\n await client.application_command_guild_create(guild, ping.get_schema())\n content = 'The command has been added.'\n else:\n if command_present:\n await client.application_command_guild_delete(guild, application_command)\n content = 'The command has been disabled.'\n else:\n content = 'The command is not present.'\n \n return Embed('Success', content)","def setEnableCondition(*args):","def setEnableCondition(*args):","def setEnableCondition(*args):","def setEnableCondition(*args):","def setEnableCondition(*args):","def setEnableCondition(*args):","def setEnableCondition(*args):","def setEnableCondition(*args):","def setEnableCondition(*args):","def setEnableCondition(*args):","def setEnableCondition(*args):","def enable_network_management(self):\n self._request({\"enable-network-management\": True})","def setupCompute():\n #Update /etc/hosts with mongo-server and monitoring-server\n sudo(\"pip2 install chariot-runtime\")\n #update configuration file located in /etc/chariot/chariot.conf\n run(\"cd /etc/init.d && sudo update-rc.d chariot-nm defaults 99\")\n run(\"cd /etc/init.d && sudo update-rc.d chariot-dm defaults 99\")\n print(\"\\n after reboot check the MongoDB server for the presence of ConfigSpace database and Nodes collection. This collection should have a document each for every compute node.\")\n sudo(\"reboot\")","def check_if_host_disabled(self, host, binary='nova-compute'):\n _service_id = self._find_service_id_by_host(host, binary)\n if _service_id:\n _ser = self._client.services.find(id=_service_id)\n if _ser.status == u'enabled':\n return False\n elif _ser.status == u'disabled':\n return True\n else:\n return False","def enable(self) -> None:","def horizonhost():\n env.cd = cd\n env.run = run\n env.hosts = settings.HOSTS['horizon']\n env.exists = exists","def enable(self):\r\n self.update(enabled=True)","def trigger_update(self, node):\n _LOGGER.debug('Triggering auto update of device ' + str(\n self._device.number))\n self._hidden = not self._device.enabled\n self.schedule_update_ha_state(True)","def operation_enabled(client, name):\n client.configuration.unstable_operations[snake_case(name)] = True","def enable_scheduling(topo, change_number=None):\n succeeded = []\n failed = []\n error = None\n if not topo:\n return succeeded, failed, \\\n 'Attempted re-enable hypervisors for scheduling without ' \\\n 'providing a valid topology. Bailing out. Fix it!'\n\n # Get a list of all compute services for this cloud\n config = topo.render('os_client_config')\n cloud_config = config.get_one_cloud(cloud=topo.cloud.canonical_name)\n cloud = shade.OpenStackCloud(cloud_config=cloud_config)\n nova_client = cloud.nova_client\n services = nova_client.services.list(binary=\"nova-compute\")\n\n # Find all disabled hosts that have our change_number text\n matched_services = []\n for service in services:\n if service.status == 'disabled' and service.disabled_reason and \\\n change_number in service.disabled_reason:\n matched_services.append(service)\n if not matched_services:\n return succeeded, failed, \\\n 'Did not find any disabled HVs to re-enable. skipping.'\n\n # Re-enable the services.\n for service in matched_services:\n try:\n nova_client.services.enable(service.host, 'nova-compute')\n succeeded.append(service.host)\n except Exception as ex:\n error = ex.message\n failed.append(service.host)\n\n return succeeded, failed, error","def ping():\n # TODO: this ought to live in ISlaveControl, maybe with disconnect()\n # or something. However the event that is emitted is most useful in\n # the Builder column, so it kinda fits here too.","def _host_in_event(self, ev):\n self._update_nodes()\n\n if not self.nodes:\n return\n\n for node in self.nodes:\n if node.ip in ev.host.ipv4:\n datapath = self.dpset.get(ev.host.port.dpid)\n node.setPortInformation(ev.host.port.dpid, datapath, ev.host.port.port_no, ev.host.port)\n self._install_cdnengine_matching_flow(datapath, node.ip, node.port)\n self.logger.info('New Node connected the network. Matching rules were installed ' + node.__str__())","def enable(self):\n pass","def heat_on():\n global PAUSED\n print(\"Temp is low; toggling heat on\")\n GPIO.output(COOLPIN, RELAYOFF)\n GPIO.output(FANPIN, RELAYOFF)\n GPIO.output(HEATPIN, RELAYON)\n while (all_temps_avg < TEMPMID or max_temp < TEMPLOW) and (PAUSED == False):\n time.sleep(10)","def enable_hyperv() -> None:\n try:\n subprocess.check_call(\n [\n 'DISM',\n '/Online',\n '/Enable-Feature',\n '/All',\n '/NoRestart',\n '/FeatureName:Microsoft-Hyper-V',\n ]\n )\n except subprocess.CalledProcessError as e:\n if e.returncode == 3010:\n pass # This is fine, because Windows.\n else:\n raise","def EnableCPU():\n global option\n option['device'] = 'CPU'","def check_hyperv() -> bool:\n try:\n out = subprocess.check_output(\n ['DISM', '/Online', '/Get-FeatureInfo', '/FeatureName:Microsoft-Hyper-V']\n )\n except subprocess.CalledProcessError:\n return False\n\n if 'State : Disabled' in out.decode():\n return False\n\n return True","def _doEnableRegulation(self):\n self._cmdRegulOn()","def test_update_compute_provider_status(self):\n ctxt = nova_context.get_admin_context()\n # Start by adding the trait to a disabled provider.\n self.assertNotIn(uuids.rp_uuid, self.compute.provider_traits)\n self.virtapi.update_compute_provider_status(\n ctxt, uuids.rp_uuid, enabled=False)\n self.assertEqual({os_traits.COMPUTE_STATUS_DISABLED},\n self.compute.provider_traits[uuids.rp_uuid])\n # Now run it again to make sure nothing changed.\n with mock.patch.object(self.compute.reportclient,\n 'set_traits_for_provider',\n new_callable=mock.NonCallableMock):\n self.virtapi.update_compute_provider_status(\n ctxt, uuids.rp_uuid, enabled=False)\n # Now enable the provider and make sure the trait is removed.\n self.virtapi.update_compute_provider_status(\n ctxt, uuids.rp_uuid, enabled=True)\n self.assertEqual(set(), self.compute.provider_traits[uuids.rp_uuid])","def notifyEDEN2connected(self):\n self.notifyGUItask(\"EDEN_CONNECTED\")\n MC.IF.s_configuration.connected = True\n self.notifyGUItask(\"TC_CONNECTED\")","def enable(self):","def enable():\n configdb = ConfigDBConnector()\n configdb.connect()\n port_info = {}\n port_info['FLEX_COUNTER_STATUS'] = 'enable'\n configdb.mod_entry(\"FLEX_COUNTER_TABLE\", \"PORT\", port_info)","def enable(self):\n self.enabled = True","def enable(self):\n self.enabled = True","def notify_kicked(self):\n self.is_kicked = True","async def _cmdf_chenable(self, substr, msg, privilege_level):\n enabled_str = None\n if utils.str_says_true(substr) or (len(substr) == 0):\n self._ch_msg_isenabled = True\n enabled_str = \"enabled.\"\n else:\n self._ch_msg_isenabled = False\n enabled_str = \"disabled.\"\n self._save_settings()\n\n buf = \"In-channel greetings is now \" + enabled_str\n await self._client.send_msg(msg, buf)\n return","async def enable(self, ctx):\n await self.config.guild(ctx.guild).auto.set(True)\n await ctx.send(_(\"Automatic voicechannel creation enabled.\"))","def has_openstack_compute(labels):\n if not labels:\n return False\n\n for label in labels:\n if label.label_key == helm_common.LABEL_COMPUTE_LABEL and label.label_value:\n return helm_common.LABEL_VALUE_ENABLED == label.label_value.lower()\n\n # We haven't found the openstack compute node key. Return False\n return False","def enable_gprs(self):\n if not has_internet():\n try:\n if not self.is_power_on():\n self.turn_on_modem()\n except TimeoutError:\n self.disable_gprs()\n self.turn_off_modem() # restart modem\n self.turn_on_modem()\n time.sleep(1)\n os.system(\n 'sudo pon {}'.format(os.path.basename(self.ppp_config_file))\n )\n # wait 420 seconds for ppp to start, if not raise TimeoutError\n self.check_internet_connection()\n else:\n self._logger.info('The device is already connected to the internet!')","def enable():\n configdb = ConfigDBConnector()\n configdb.connect()\n tunnel_info = {}\n tunnel_info['FLEX_COUNTER_STATUS'] = ENABLE\n configdb.mod_entry(\"FLEX_COUNTER_TABLE\", \"TUNNEL\", tunnel_info)","def enhost(host):\n available = find(host,DNSMASQ_AVAILABLE)\n if not available:\n print(\"%s not found in available directory -- \" % host + DNSMASQ_AVAILABLE)\n return \n\n enabled = find(host,DNSMASQ_ENABLED)\n if enabled:\n print(\"%s is already enabled\" % host)\n return\n src = available\n dest = DNSMASQ_ENABLED + '/' + host + DNSMASQ_CFG_SUFFIX\n print(\"Linking %s to %s\" % (src,dest))\n os.symlink(src,dest)\n restart()\n listhosts()","def health_check(self):\n unset_props = []\n if not self.hub_name:\n unset_props.append(self._hub_name_prop)\n if not self.port_number:\n unset_props.append(self._primary_port_prop)\n if unset_props:\n msg_format = (\"If device is connected to {}, \"\n \"set them via 'gdm redetect {}'\")\n msg = msg_format.format(self.hub_type, self._device_name)\n error_msg = \"properties {} are unset. \".format(\n \" and \".join(unset_props)) + msg\n raise errors.CapabilityNotReadyError(\n msg=error_msg, device_name=self._device_name)\n\n try:\n self._hub = self._create_device_func(self.hub_name)\n # Set up ethernet\n if self.ethernet_switch_address is not None:\n self._ethernet_switch = self._create_device_func(\n self.ethernet_switch_address)\n\n except errors.DeviceError as err:\n raise errors.CapabilityNotReadyError(\n msg=str(err), device_name=self._device_name)\n if self.ethernet_switch_address is not None:\n self._verify_switch_created(self._ethernet_switch)\n self._healthy = True","def enable_connection_heartbeat():\n conn = self._vc_connection\n status = self.vip.health.get_status()\n conn.vip.health.set_status(\n status['status'], status['context']\n )\n conn.vip.heartbeat.start()","def enable_ad():\n for host in online_hosts:\n with settings(warn_only=True):\n\n result1 = sudo(\"racadm5 -r \"+host+\" -u root -p \"+PASSWORD+\" config -g cfgActiveDirectory -o cfgADEnable 1\")\n if result1.failed:\n logging.error(\"Host: [ \"+host+\" ] : \" + \"Enabling Active Directory failed \")\n\n result2 = sudo(\"racadm5 -r \"+host+\" -u root -p \"+PASSWORD+\" config -g cfgActiveDirectory -o cfgADType 2\")\n if result2.failed:\n logging.error(\"Host: [ \"+host+\" ] : \" + \"Setting of standard schema for AD failed \")","def ping(self):\n return True","def ping(self):\n return True","def cmd_enable(self, app_name=None):\n rc = self.socket_command_with_project('enable', app_name)\n return rc","def enable(self):\n hoomd.util.print_status_line();\n\n if self.enabled == False:\n hoomd.context.msg.error(\"you cannot re-enable DCD output after it has been disabled\\n\");\n raise RuntimeError('Error enabling updater');","async def async_turn_on(self, **kwargs):\n try:\n if await self._api.set_relay_state(self._dev_id, \"on\"):\n self._is_on = True\n self.async_write_ha_state()\n except Smile.PlugwiseError:\n _LOGGER.error(\"Error while communicating to device\")","def enable(self):\n self._enabled = True","async def async_turn_on(self, **kwargs):\n try:\n state_on = await self._api.set_relay_state(\n self._dev_id, self._members, \"on\"\n )\n if state_on:\n self._is_on = True\n self.async_write_ha_state()\n except PlugwiseException:\n _LOGGER.error(\"Error while communicating to device\")","def turn_on(self, **kwargs):\n self._is_on = True\n self.schedule_update_ha_state()\n self.hass.data[ZIGATE_DOMAIN].action_onoff(self._device.addr,\n self._endpoint,\n 1)","def can_escalate(self, depended=False):\n if not self.tt_system or not self.tt_system_id:\n return False\n return self.can_notify(depended)","def enable(self):\n if not self.labExperiment:\n super().enable()\n else:\n self.connection.command('open_dm', self.DMserial)\n status = self.connection.query('get_status')\n assert status == 0, 'Error connecting to DM. Error: ' + str(status)\n numActProfile = self.connection.query('num_actuators')\n assert numActProfile == self.numActProfile, 'Wrong number of profile actuators entered'\n print(\"'BM1k' is now enabled\")","def affection_status_switch_on(self):\n self._affection_status_switch = True","def enable():\n configdb = ConfigDBConnector()\n configdb.connect()\n fc_info = {}\n fc_info['FLEX_COUNTER_STATUS'] = 'enable'\n configdb.mod_entry(\"FLEX_COUNTER_TABLE\", \"QUEUE_WATERMARK\", fc_info)\n configdb.mod_entry(\"FLEX_COUNTER_TABLE\", \"PG_WATERMARK\", fc_info)\n configdb.mod_entry(\"FLEX_COUNTER_TABLE\", BUFFER_POOL_WATERMARK, fc_info)","def on_notify(self, name):\r\n pass","def EnableBroadcast(self) -> bool:","def EnableBroadcast(self) -> bool:","def host_maintenance_mode(self, host, mode):\n if not mode:\n return 'off_maintenance'\n return 'on_maintenance'","def host_maintenance_mode(self, host, mode):\n if not mode:\n return 'off_maintenance'\n return 'on_maintenance'","def cycle(self, include_ethernet=False):\n if not self.healthy:\n self.health_check()\n self.off()\n time.sleep(2) # Small delay before calling power_on\n self.on()","def enable(self, *args, **kwargs):\n pass","def _ForceAllCpusOnline(self, force_online):\n if self._have_mpdecision:\n script = 'stop mpdecision' if force_online else 'start mpdecision'\n self._device.RunShellCommand(script, as_root=True)\n\n if not self._have_mpdecision and not self._AllCpusAreOnline():\n logging.warning('Unexpected cpu hot plugging detected.')\n\n if not force_online:\n return\n\n for cpu in range(self._num_cpu_cores):\n online_path = PerfControl._CPU_ONLINE_FMT % cpu\n self._device.WriteFile(online_path, '1', as_root=True)","def report_health(self):\n return True","def notify(self) -> None:\n pass","def notify(self) -> None:\n pass"],"string":"[\n \"def nfvi_notify_compute_host_disabled(host_uuid, host_name, host_personality,\\n callback):\\n cmd_id = _compute_plugin.invoke_plugin('notify_host_disabled',\\n host_uuid, host_name,\\n host_personality,\\n callback=callback)\\n return cmd_id\",\n \"def nfvi_enable_compute_host_services(host_uuid, host_name, host_personality,\\n callback):\\n cmd_id = _compute_plugin.invoke_plugin('enable_host_services',\\n host_uuid, host_name,\\n host_personality,\\n callback=callback)\\n return cmd_id\",\n \"def set_host_enabled(self, host, enabled):\\n if enabled:\\n return 'enabled'\\n return 'disabled'\",\n \"def set_host_enabled(self, host, enabled):\\n if enabled:\\n return 'enabled'\\n return 'disabled'\",\n \"def enable(self):\\n # Netmiko reports enable and config mode as being enabled\\n if not self.native.check_enable_mode():\\n self.native.enable()\\n # Ensure device is not in config mode\\n if self.native.check_config_mode():\\n self.native.exit_config_mode()\\n\\n log.debug(\\\"Host %s: Device enabled.\\\", self.host)\",\n \"def on_enable(self) -> None:\\n if self._send_notification_func:\\n self._send_notification_func()\\n self._send_notification_func = None\",\n \"def enable_host(self, name):\\n from soppa.local import aslocal\\n self.guest_ip = self.guest_ip()\\n self.guest_host_name = name\\n # Host (remote) change\\n self.file.set_setting('/etc/hosts', '{0} {1}'.format('127.0.0.1', self.guest_host_name))\\n # local change\\n aslocal()\\n self.file.set_setting('/etc/hosts', '{0} {1}'.format(self.guest_ip, name))\",\n \"def scp_enable(task):\\n cmd = \\\"ip scp server enable\\\"\\n task.run(task=netmiko_send_config, config_commands=cmd)\\n c_print(f\\\"*** {task.host}: SCP has been enabled ***\\\")\",\n \"def ceph_enabled(self):\",\n \"def enabled_on_host() -> Callable[[Loader.ModInfo], bool]:\\n def filter_fn(mod_info: Loader.ModInfo) -> bool:\\n if len(mod_info.mod_def.hostnames) == 0:\\n return True\\n\\n if HOSTNAME not in mod_info.mod_def.hostnames:\\n _LOG.info(\\n f\\\"{mod_info.mod_def.name} is not enabled for host {HOSTNAME}\\\"\\n )\\n return False\\n return True\\n\\n return filter_fn\",\n \"def test_reports_enabled_hosts_as_up(self):\\n compute1 = self.start_service('compute', host='host1')\\n compute2 = self.start_service('compute', host='host2')\\n hosts = self.scheduler.driver.hosts_up(self.context, 'compute')\\n self.assertEqual(2, len(hosts))\\n compute1.kill()\\n compute2.kill()\",\n \"def test_doesnt_report_disabled_hosts_as_up2(self):\\n compute1 = self.start_service('compute', host='host1')\\n compute2 = self.start_service('compute', host='host2')\\n s1 = db.service_get_by_args(self.context, 'host1', 'nova-compute')\\n s2 = db.service_get_by_args(self.context, 'host2', 'nova-compute')\\n db.service_update(self.context, s1['id'], {'disabled': True})\\n db.service_update(self.context, s2['id'], {'disabled': True})\\n hosts = self.scheduler.driver.hosts_up(self.context, 'compute')\\n self.assertEqual(0, len(hosts))\\n compute1.kill()\\n compute2.kill()\",\n \"def enableNotify(self):\\n while True:\\n self._delegate.notificationsRecvd = 0\\n self._peripheral.writeCharacteristic(self._readChar.valHandle + 1, b\\\"\\\\x01\\\\x00\\\")\\n self.ping()\\n self._peripheral.waitForNotifications(3.0)\\n if self.getNotificationsReceived() > 0:\\n break\\n logging.getLogger(\\\"anki.overdrive\\\").error(\\\"ERROR - Set notify failed - cannot communicate with car!\\\")\",\n \"def test_doesnt_report_disabled_hosts_as_up_no_queue(self):\\n # NOTE(vish): constructing service without create method\\n # because we are going to use it without queue\\n compute1 = service.Service('host1',\\n 'nova-compute',\\n 'compute',\\n FLAGS.compute_manager)\\n compute1.start()\\n compute2 = service.Service('host2',\\n 'nova-compute',\\n 'compute',\\n FLAGS.compute_manager)\\n compute2.start()\\n s1 = db.service_get_by_args(self.context, 'host1', 'nova-compute')\\n s2 = db.service_get_by_args(self.context, 'host2', 'nova-compute')\\n db.service_update(self.context, s1['id'], {'disabled': True})\\n db.service_update(self.context, s2['id'], {'disabled': True})\\n hosts = self.scheduler.driver.hosts_up(self.context, 'compute')\\n self.assertEqual(0, len(hosts))\\n compute1.kill()\\n compute2.kill()\",\n \"def enable(self):\\n self._logger.debug(\\\"%s: request to enable monitoring\\\",\\n self.ping_address)\\n if self._monitor_enabled:\\n return\\n self._is_stale = False\\n self._enable_monitor()\",\n \"def nfvi_disable_compute_host_services(host_uuid, host_name, host_personality,\\n callback):\\n cmd_id = _compute_plugin.invoke_plugin('disable_host_services',\\n host_uuid, host_name,\\n host_personality,\\n callback=callback)\\n return cmd_id\",\n \"def enable(ctx):\\n\\n config_db = ConfigDBConnector()\\n config_db.connect()\\n config_db.mod_entry(\\\"NAT_GLOBAL\\\", \\\"Values\\\", {\\\"admin_mode\\\": \\\"enabled\\\"})\",\n \"def is_host_on(self):\\n status = False\\n cmd = \\\"/usr/local/bin/wedge_power.sh status\\\"\\n data = run_shell_cmd(cmd)\\n Logger.info(\\\"[FSCD Testing] Executing cmd= [{}]\\\".format(cmd))\\n Logger.info(\\\"[FSCD Testing] Received data= [{}]\\\".format(data))\\n if \\\"on\\\" in data:\\n status = True\\n Logger.info(\\\"[FSCD Testing] userver power status {}\\\".format(status))\\n return status\",\n \"def check_host(host):\\n try:\\n request = requests.get(host[0], timeout=3)\\n host[1] = bool(re.search(host[1], request.text))\\n except Exception:\\n host[1] = False\\n if host[1] is False:\\n os.system(CONFIG['mail_command'].format(\\n 'CRITICAL: {} is critical'.format(host[0])))\\n\\n return host\",\n \"def test_reports_enabled_hosts_as_up_no_queue(self):\\n # NOTE(vish): constructing service without create method\\n # because we are going to use it without queue\\n compute1 = service.Service('host1',\\n 'nova-compute',\\n 'compute',\\n FLAGS.compute_manager)\\n compute1.start()\\n compute2 = service.Service('host2',\\n 'nova-compute',\\n 'compute',\\n FLAGS.compute_manager)\\n compute2.start()\\n hosts = self.scheduler.driver.hosts_up(self.context, 'compute')\\n self.assertEqual(2, len(hosts))\\n compute1.kill()\\n compute2.kill()\",\n \"def nfvi_compute_plugin_disabled():\\n return (_compute_plugin is None)\",\n \"def set_online(rg = None):\\n if isinstance(rg, int):\\n rg = [rg]\\n\\n if rg is None:\\n _cpu.enable_all_cpu()\\n print(\\\"All CPUs enabled.\\\")\\n else:\\n for core in rg:\\n try:\\n _cpu.enable_cpu(core)\\n if _verbose:\\n print(f\\\"CPU {core} set online.\\\")\\n except:\\n print(f\\\"ERROR: An exception occurred. Check if CPU {core} exists.\\\")\",\n \"async def execute_host(self):\\n return True\",\n \"def node_host_status(self, node):\\n if node.is_online() or node.is_unreachable():\\n return self.HOST_MONITORED\\n else:\\n return self.HOST_UNMONITORED\",\n \"async def _cmdf_pmenable(self, substr, msg, privilege_level):\\n enabled_str = None\\n if utils.str_says_true(substr) or (len(substr) == 0):\\n self._pm_msg_isenabled = True\\n enabled_str = \\\"enabled.\\\"\\n else:\\n self._pm_msg_isenabled = False\\n enabled_str = \\\"disabled.\\\"\\n self._save_settings()\\n\\n buf = \\\"PM greetings is now \\\" + enabled_str\\n await self._client.send_msg(msg, buf)\\n return\",\n \"async def power_on(self):\\n ...\",\n \"def on_enable(self) -> None:\\n if self.app.state == self.app.States.clean:\\n self._start_notification_cycle()\",\n \"def enable():\\n request = dict(id='gbn')\\n _gbn_enable(request)\",\n \"def power_on(self, sync=True, wait_for_guest_ready=True):\\n self.vmomi_object.PowerOn()\\n if sync: self._wait_for_power_on(wait_for_guest_ready)\",\n \"def autodisable_cloud(cloud):\\n log.warning(\\\"Autodisabling %s\\\", cloud)\\n cloud.ctl.disable()\\n title = \\\"Cloud %s has been automatically disabled\\\" % cloud.name\\n message = \\\"%s after multiple failures to connect to it.\\\" % title\\n notify_user(cloud.owner, title=title, message=message, email_notify=True)\",\n \"def enable_health(self):\\n return self._enable_health\",\n \"def _vm_disable_host(zx, vm, log=None):\\n log = log or zx.log\\n hostid = zx.get_hostid(vm, log=log)\\n\\n if not hostid:\\n log(ERROR, 'Zabbix host for VM %s does not exist!', vm)\\n return False\\n\\n log(WARNING, 'Setting Zabbix host ID \\\"%s\\\" status to unmonitored for VM %s', hostid, vm)\\n\\n if zx.update_host(hostid, log=log, status=zx.HOST_UNMONITORED):\\n log(INFO, 'Updated Zabbix host ID \\\"%s\\\" status to unmonitored', hostid)\\n zx.save_host_info(vm, log=log)\\n return True\\n else:\\n log(ERROR, 'Could not update Zabbix host ID \\\"%s\\\" status to unmonitored', hostid)\\n return False\",\n \"async def enable_ping(\\n client,\\n event,\\n allow: ('bool', 'Enable?') = True,\\n):\\n guild = event.guild\\n if guild is None:\\n abort('Guild only command.')\\n \\n if not event.user_permissions.can_administrator:\\n abort('You must have administrator permission to invoke this command.')\\n \\n application_commands = await client.application_command_guild_get_all(guild)\\n for application_command in application_commands:\\n # If you are not working with overlapping names, a name check should be enough.\\n if application_command.name == ping.name:\\n command_present = True\\n break\\n else:\\n command_present = False\\n \\n if allow:\\n if command_present:\\n content = 'The command is already present.'\\n else:\\n await client.application_command_guild_create(guild, ping.get_schema())\\n content = 'The command has been added.'\\n else:\\n if command_present:\\n await client.application_command_guild_delete(guild, application_command)\\n content = 'The command has been disabled.'\\n else:\\n content = 'The command is not present.'\\n \\n return Embed('Success', content)\",\n \"def setEnableCondition(*args):\",\n \"def setEnableCondition(*args):\",\n \"def setEnableCondition(*args):\",\n \"def setEnableCondition(*args):\",\n \"def setEnableCondition(*args):\",\n \"def setEnableCondition(*args):\",\n \"def setEnableCondition(*args):\",\n \"def setEnableCondition(*args):\",\n \"def setEnableCondition(*args):\",\n \"def setEnableCondition(*args):\",\n \"def setEnableCondition(*args):\",\n \"def enable_network_management(self):\\n self._request({\\\"enable-network-management\\\": True})\",\n \"def setupCompute():\\n #Update /etc/hosts with mongo-server and monitoring-server\\n sudo(\\\"pip2 install chariot-runtime\\\")\\n #update configuration file located in /etc/chariot/chariot.conf\\n run(\\\"cd /etc/init.d && sudo update-rc.d chariot-nm defaults 99\\\")\\n run(\\\"cd /etc/init.d && sudo update-rc.d chariot-dm defaults 99\\\")\\n print(\\\"\\\\n after reboot check the MongoDB server for the presence of ConfigSpace database and Nodes collection. This collection should have a document each for every compute node.\\\")\\n sudo(\\\"reboot\\\")\",\n \"def check_if_host_disabled(self, host, binary='nova-compute'):\\n _service_id = self._find_service_id_by_host(host, binary)\\n if _service_id:\\n _ser = self._client.services.find(id=_service_id)\\n if _ser.status == u'enabled':\\n return False\\n elif _ser.status == u'disabled':\\n return True\\n else:\\n return False\",\n \"def enable(self) -> None:\",\n \"def horizonhost():\\n env.cd = cd\\n env.run = run\\n env.hosts = settings.HOSTS['horizon']\\n env.exists = exists\",\n \"def enable(self):\\r\\n self.update(enabled=True)\",\n \"def trigger_update(self, node):\\n _LOGGER.debug('Triggering auto update of device ' + str(\\n self._device.number))\\n self._hidden = not self._device.enabled\\n self.schedule_update_ha_state(True)\",\n \"def operation_enabled(client, name):\\n client.configuration.unstable_operations[snake_case(name)] = True\",\n \"def enable_scheduling(topo, change_number=None):\\n succeeded = []\\n failed = []\\n error = None\\n if not topo:\\n return succeeded, failed, \\\\\\n 'Attempted re-enable hypervisors for scheduling without ' \\\\\\n 'providing a valid topology. Bailing out. Fix it!'\\n\\n # Get a list of all compute services for this cloud\\n config = topo.render('os_client_config')\\n cloud_config = config.get_one_cloud(cloud=topo.cloud.canonical_name)\\n cloud = shade.OpenStackCloud(cloud_config=cloud_config)\\n nova_client = cloud.nova_client\\n services = nova_client.services.list(binary=\\\"nova-compute\\\")\\n\\n # Find all disabled hosts that have our change_number text\\n matched_services = []\\n for service in services:\\n if service.status == 'disabled' and service.disabled_reason and \\\\\\n change_number in service.disabled_reason:\\n matched_services.append(service)\\n if not matched_services:\\n return succeeded, failed, \\\\\\n 'Did not find any disabled HVs to re-enable. skipping.'\\n\\n # Re-enable the services.\\n for service in matched_services:\\n try:\\n nova_client.services.enable(service.host, 'nova-compute')\\n succeeded.append(service.host)\\n except Exception as ex:\\n error = ex.message\\n failed.append(service.host)\\n\\n return succeeded, failed, error\",\n \"def ping():\\n # TODO: this ought to live in ISlaveControl, maybe with disconnect()\\n # or something. However the event that is emitted is most useful in\\n # the Builder column, so it kinda fits here too.\",\n \"def _host_in_event(self, ev):\\n self._update_nodes()\\n\\n if not self.nodes:\\n return\\n\\n for node in self.nodes:\\n if node.ip in ev.host.ipv4:\\n datapath = self.dpset.get(ev.host.port.dpid)\\n node.setPortInformation(ev.host.port.dpid, datapath, ev.host.port.port_no, ev.host.port)\\n self._install_cdnengine_matching_flow(datapath, node.ip, node.port)\\n self.logger.info('New Node connected the network. Matching rules were installed ' + node.__str__())\",\n \"def enable(self):\\n pass\",\n \"def heat_on():\\n global PAUSED\\n print(\\\"Temp is low; toggling heat on\\\")\\n GPIO.output(COOLPIN, RELAYOFF)\\n GPIO.output(FANPIN, RELAYOFF)\\n GPIO.output(HEATPIN, RELAYON)\\n while (all_temps_avg < TEMPMID or max_temp < TEMPLOW) and (PAUSED == False):\\n time.sleep(10)\",\n \"def enable_hyperv() -> None:\\n try:\\n subprocess.check_call(\\n [\\n 'DISM',\\n '/Online',\\n '/Enable-Feature',\\n '/All',\\n '/NoRestart',\\n '/FeatureName:Microsoft-Hyper-V',\\n ]\\n )\\n except subprocess.CalledProcessError as e:\\n if e.returncode == 3010:\\n pass # This is fine, because Windows.\\n else:\\n raise\",\n \"def EnableCPU():\\n global option\\n option['device'] = 'CPU'\",\n \"def check_hyperv() -> bool:\\n try:\\n out = subprocess.check_output(\\n ['DISM', '/Online', '/Get-FeatureInfo', '/FeatureName:Microsoft-Hyper-V']\\n )\\n except subprocess.CalledProcessError:\\n return False\\n\\n if 'State : Disabled' in out.decode():\\n return False\\n\\n return True\",\n \"def _doEnableRegulation(self):\\n self._cmdRegulOn()\",\n \"def test_update_compute_provider_status(self):\\n ctxt = nova_context.get_admin_context()\\n # Start by adding the trait to a disabled provider.\\n self.assertNotIn(uuids.rp_uuid, self.compute.provider_traits)\\n self.virtapi.update_compute_provider_status(\\n ctxt, uuids.rp_uuid, enabled=False)\\n self.assertEqual({os_traits.COMPUTE_STATUS_DISABLED},\\n self.compute.provider_traits[uuids.rp_uuid])\\n # Now run it again to make sure nothing changed.\\n with mock.patch.object(self.compute.reportclient,\\n 'set_traits_for_provider',\\n new_callable=mock.NonCallableMock):\\n self.virtapi.update_compute_provider_status(\\n ctxt, uuids.rp_uuid, enabled=False)\\n # Now enable the provider and make sure the trait is removed.\\n self.virtapi.update_compute_provider_status(\\n ctxt, uuids.rp_uuid, enabled=True)\\n self.assertEqual(set(), self.compute.provider_traits[uuids.rp_uuid])\",\n \"def notifyEDEN2connected(self):\\n self.notifyGUItask(\\\"EDEN_CONNECTED\\\")\\n MC.IF.s_configuration.connected = True\\n self.notifyGUItask(\\\"TC_CONNECTED\\\")\",\n \"def enable(self):\",\n \"def enable():\\n configdb = ConfigDBConnector()\\n configdb.connect()\\n port_info = {}\\n port_info['FLEX_COUNTER_STATUS'] = 'enable'\\n configdb.mod_entry(\\\"FLEX_COUNTER_TABLE\\\", \\\"PORT\\\", port_info)\",\n \"def enable(self):\\n self.enabled = True\",\n \"def enable(self):\\n self.enabled = True\",\n \"def notify_kicked(self):\\n self.is_kicked = True\",\n \"async def _cmdf_chenable(self, substr, msg, privilege_level):\\n enabled_str = None\\n if utils.str_says_true(substr) or (len(substr) == 0):\\n self._ch_msg_isenabled = True\\n enabled_str = \\\"enabled.\\\"\\n else:\\n self._ch_msg_isenabled = False\\n enabled_str = \\\"disabled.\\\"\\n self._save_settings()\\n\\n buf = \\\"In-channel greetings is now \\\" + enabled_str\\n await self._client.send_msg(msg, buf)\\n return\",\n \"async def enable(self, ctx):\\n await self.config.guild(ctx.guild).auto.set(True)\\n await ctx.send(_(\\\"Automatic voicechannel creation enabled.\\\"))\",\n \"def has_openstack_compute(labels):\\n if not labels:\\n return False\\n\\n for label in labels:\\n if label.label_key == helm_common.LABEL_COMPUTE_LABEL and label.label_value:\\n return helm_common.LABEL_VALUE_ENABLED == label.label_value.lower()\\n\\n # We haven't found the openstack compute node key. Return False\\n return False\",\n \"def enable_gprs(self):\\n if not has_internet():\\n try:\\n if not self.is_power_on():\\n self.turn_on_modem()\\n except TimeoutError:\\n self.disable_gprs()\\n self.turn_off_modem() # restart modem\\n self.turn_on_modem()\\n time.sleep(1)\\n os.system(\\n 'sudo pon {}'.format(os.path.basename(self.ppp_config_file))\\n )\\n # wait 420 seconds for ppp to start, if not raise TimeoutError\\n self.check_internet_connection()\\n else:\\n self._logger.info('The device is already connected to the internet!')\",\n \"def enable():\\n configdb = ConfigDBConnector()\\n configdb.connect()\\n tunnel_info = {}\\n tunnel_info['FLEX_COUNTER_STATUS'] = ENABLE\\n configdb.mod_entry(\\\"FLEX_COUNTER_TABLE\\\", \\\"TUNNEL\\\", tunnel_info)\",\n \"def enhost(host):\\n available = find(host,DNSMASQ_AVAILABLE)\\n if not available:\\n print(\\\"%s not found in available directory -- \\\" % host + DNSMASQ_AVAILABLE)\\n return \\n\\n enabled = find(host,DNSMASQ_ENABLED)\\n if enabled:\\n print(\\\"%s is already enabled\\\" % host)\\n return\\n src = available\\n dest = DNSMASQ_ENABLED + '/' + host + DNSMASQ_CFG_SUFFIX\\n print(\\\"Linking %s to %s\\\" % (src,dest))\\n os.symlink(src,dest)\\n restart()\\n listhosts()\",\n \"def health_check(self):\\n unset_props = []\\n if not self.hub_name:\\n unset_props.append(self._hub_name_prop)\\n if not self.port_number:\\n unset_props.append(self._primary_port_prop)\\n if unset_props:\\n msg_format = (\\\"If device is connected to {}, \\\"\\n \\\"set them via 'gdm redetect {}'\\\")\\n msg = msg_format.format(self.hub_type, self._device_name)\\n error_msg = \\\"properties {} are unset. \\\".format(\\n \\\" and \\\".join(unset_props)) + msg\\n raise errors.CapabilityNotReadyError(\\n msg=error_msg, device_name=self._device_name)\\n\\n try:\\n self._hub = self._create_device_func(self.hub_name)\\n # Set up ethernet\\n if self.ethernet_switch_address is not None:\\n self._ethernet_switch = self._create_device_func(\\n self.ethernet_switch_address)\\n\\n except errors.DeviceError as err:\\n raise errors.CapabilityNotReadyError(\\n msg=str(err), device_name=self._device_name)\\n if self.ethernet_switch_address is not None:\\n self._verify_switch_created(self._ethernet_switch)\\n self._healthy = True\",\n \"def enable_connection_heartbeat():\\n conn = self._vc_connection\\n status = self.vip.health.get_status()\\n conn.vip.health.set_status(\\n status['status'], status['context']\\n )\\n conn.vip.heartbeat.start()\",\n \"def enable_ad():\\n for host in online_hosts:\\n with settings(warn_only=True):\\n\\n result1 = sudo(\\\"racadm5 -r \\\"+host+\\\" -u root -p \\\"+PASSWORD+\\\" config -g cfgActiveDirectory -o cfgADEnable 1\\\")\\n if result1.failed:\\n logging.error(\\\"Host: [ \\\"+host+\\\" ] : \\\" + \\\"Enabling Active Directory failed \\\")\\n\\n result2 = sudo(\\\"racadm5 -r \\\"+host+\\\" -u root -p \\\"+PASSWORD+\\\" config -g cfgActiveDirectory -o cfgADType 2\\\")\\n if result2.failed:\\n logging.error(\\\"Host: [ \\\"+host+\\\" ] : \\\" + \\\"Setting of standard schema for AD failed \\\")\",\n \"def ping(self):\\n return True\",\n \"def ping(self):\\n return True\",\n \"def cmd_enable(self, app_name=None):\\n rc = self.socket_command_with_project('enable', app_name)\\n return rc\",\n \"def enable(self):\\n hoomd.util.print_status_line();\\n\\n if self.enabled == False:\\n hoomd.context.msg.error(\\\"you cannot re-enable DCD output after it has been disabled\\\\n\\\");\\n raise RuntimeError('Error enabling updater');\",\n \"async def async_turn_on(self, **kwargs):\\n try:\\n if await self._api.set_relay_state(self._dev_id, \\\"on\\\"):\\n self._is_on = True\\n self.async_write_ha_state()\\n except Smile.PlugwiseError:\\n _LOGGER.error(\\\"Error while communicating to device\\\")\",\n \"def enable(self):\\n self._enabled = True\",\n \"async def async_turn_on(self, **kwargs):\\n try:\\n state_on = await self._api.set_relay_state(\\n self._dev_id, self._members, \\\"on\\\"\\n )\\n if state_on:\\n self._is_on = True\\n self.async_write_ha_state()\\n except PlugwiseException:\\n _LOGGER.error(\\\"Error while communicating to device\\\")\",\n \"def turn_on(self, **kwargs):\\n self._is_on = True\\n self.schedule_update_ha_state()\\n self.hass.data[ZIGATE_DOMAIN].action_onoff(self._device.addr,\\n self._endpoint,\\n 1)\",\n \"def can_escalate(self, depended=False):\\n if not self.tt_system or not self.tt_system_id:\\n return False\\n return self.can_notify(depended)\",\n \"def enable(self):\\n if not self.labExperiment:\\n super().enable()\\n else:\\n self.connection.command('open_dm', self.DMserial)\\n status = self.connection.query('get_status')\\n assert status == 0, 'Error connecting to DM. Error: ' + str(status)\\n numActProfile = self.connection.query('num_actuators')\\n assert numActProfile == self.numActProfile, 'Wrong number of profile actuators entered'\\n print(\\\"'BM1k' is now enabled\\\")\",\n \"def affection_status_switch_on(self):\\n self._affection_status_switch = True\",\n \"def enable():\\n configdb = ConfigDBConnector()\\n configdb.connect()\\n fc_info = {}\\n fc_info['FLEX_COUNTER_STATUS'] = 'enable'\\n configdb.mod_entry(\\\"FLEX_COUNTER_TABLE\\\", \\\"QUEUE_WATERMARK\\\", fc_info)\\n configdb.mod_entry(\\\"FLEX_COUNTER_TABLE\\\", \\\"PG_WATERMARK\\\", fc_info)\\n configdb.mod_entry(\\\"FLEX_COUNTER_TABLE\\\", BUFFER_POOL_WATERMARK, fc_info)\",\n \"def on_notify(self, name):\\r\\n pass\",\n \"def EnableBroadcast(self) -> bool:\",\n \"def EnableBroadcast(self) -> bool:\",\n \"def host_maintenance_mode(self, host, mode):\\n if not mode:\\n return 'off_maintenance'\\n return 'on_maintenance'\",\n \"def host_maintenance_mode(self, host, mode):\\n if not mode:\\n return 'off_maintenance'\\n return 'on_maintenance'\",\n \"def cycle(self, include_ethernet=False):\\n if not self.healthy:\\n self.health_check()\\n self.off()\\n time.sleep(2) # Small delay before calling power_on\\n self.on()\",\n \"def enable(self, *args, **kwargs):\\n pass\",\n \"def _ForceAllCpusOnline(self, force_online):\\n if self._have_mpdecision:\\n script = 'stop mpdecision' if force_online else 'start mpdecision'\\n self._device.RunShellCommand(script, as_root=True)\\n\\n if not self._have_mpdecision and not self._AllCpusAreOnline():\\n logging.warning('Unexpected cpu hot plugging detected.')\\n\\n if not force_online:\\n return\\n\\n for cpu in range(self._num_cpu_cores):\\n online_path = PerfControl._CPU_ONLINE_FMT % cpu\\n self._device.WriteFile(online_path, '1', as_root=True)\",\n \"def report_health(self):\\n return True\",\n \"def notify(self) -> None:\\n pass\",\n \"def notify(self) -> None:\\n pass\"\n]","isConversational":false},"negative_scores":{"kind":"list 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\"0.6910246\",\n \"0.63405925\",\n \"0.6329132\",\n \"0.6329132\",\n \"0.6197454\",\n \"0.6078591\",\n \"0.5980807\",\n \"0.5833863\",\n \"0.5802485\",\n \"0.57806736\",\n \"0.5662218\",\n \"0.5642115\",\n \"0.558865\",\n \"0.5550963\",\n \"0.5544851\",\n \"0.55175227\",\n \"0.5497251\",\n \"0.54892796\",\n \"0.5441781\",\n \"0.5439356\",\n \"0.5438972\",\n \"0.5424828\",\n \"0.541771\",\n \"0.54041463\",\n \"0.5402884\",\n \"0.53993165\",\n \"0.53798443\",\n \"0.5379302\",\n \"0.53699285\",\n \"0.5349018\",\n \"0.5309955\",\n \"0.52836096\",\n \"0.5275779\",\n \"0.52735025\",\n \"0.52735025\",\n \"0.52735025\",\n \"0.52735025\",\n \"0.52735025\",\n \"0.52735025\",\n \"0.52735025\",\n \"0.52735025\",\n \"0.52735025\",\n \"0.52735025\",\n \"0.52735025\",\n \"0.52718496\",\n \"0.5235401\",\n \"0.5232803\",\n \"0.5195856\",\n \"0.5180744\",\n \"0.5179805\",\n \"0.5178356\",\n \"0.5177139\",\n \"0.5174659\",\n \"0.5160769\",\n \"0.5156575\",\n \"0.51520866\",\n \"0.5144212\",\n \"0.5142383\",\n \"0.5131492\",\n \"0.5123275\",\n \"0.51186055\",\n \"0.5110939\",\n \"0.51023006\",\n \"0.50988775\",\n \"0.50981987\",\n \"0.50981665\",\n \"0.50981665\",\n \"0.50889564\",\n \"0.5084868\",\n \"0.50676924\",\n \"0.5064388\",\n \"0.50545055\",\n \"0.505322\",\n \"0.505112\",\n \"0.505086\",\n \"0.50506324\",\n \"0.50480986\",\n \"0.50349116\",\n \"0.50349116\",\n \"0.5034181\",\n \"0.5033298\",\n \"0.50325793\",\n \"0.5029198\",\n \"0.5025309\",\n \"0.5014497\",\n \"0.5012438\",\n \"0.50123805\",\n \"0.5011426\",\n \"0.5004187\",\n \"0.5001364\",\n \"0.49970776\",\n \"0.49970776\",\n \"0.49904677\",\n \"0.49904677\",\n \"0.4989531\",\n \"0.4988339\",\n \"0.49861372\",\n \"0.4977239\",\n \"0.49661466\",\n \"0.49661466\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.7718271"},"document_rank":{"kind":"string","value":"0"}}},{"rowIdx":20487,"cells":{"query":{"kind":"string","value":"Notify compute host is disabled"},"document":{"kind":"string","value":"def nfvi_notify_compute_host_disabled(host_uuid, host_name, host_personality,\n callback):\n cmd_id = _compute_plugin.invoke_plugin('notify_host_disabled',\n host_uuid, host_name,\n host_personality,\n callback=callback)\n return cmd_id"},"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 nfvi_notify_compute_host_enabled(host_uuid, host_name, host_personality,\n callback):\n cmd_id = _compute_plugin.invoke_plugin('notify_host_enabled',\n host_uuid, host_name,\n host_personality,\n callback=callback)\n return cmd_id","def nfvi_disable_compute_host_services(host_uuid, host_name, host_personality,\n callback):\n cmd_id = _compute_plugin.invoke_plugin('disable_host_services',\n host_uuid, host_name,\n host_personality,\n callback=callback)\n return cmd_id","def test_doesnt_report_disabled_hosts_as_up_no_queue(self):\n # NOTE(vish): constructing service without create method\n # because we are going to use it without queue\n compute1 = service.Service('host1',\n 'nova-compute',\n 'compute',\n FLAGS.compute_manager)\n compute1.start()\n compute2 = service.Service('host2',\n 'nova-compute',\n 'compute',\n FLAGS.compute_manager)\n compute2.start()\n s1 = db.service_get_by_args(self.context, 'host1', 'nova-compute')\n s2 = db.service_get_by_args(self.context, 'host2', 'nova-compute')\n db.service_update(self.context, s1['id'], {'disabled': True})\n db.service_update(self.context, s2['id'], {'disabled': True})\n hosts = self.scheduler.driver.hosts_up(self.context, 'compute')\n self.assertEqual(0, len(hosts))\n compute1.kill()\n compute2.kill()","def nfvi_compute_plugin_disabled():\n return (_compute_plugin is None)","def check_if_host_disabled(self, host, binary='nova-compute'):\n _service_id = self._find_service_id_by_host(host, binary)\n if _service_id:\n _ser = self._client.services.find(id=_service_id)\n if _ser.status == u'enabled':\n return False\n elif _ser.status == u'disabled':\n return True\n else:\n return False","def test_doesnt_report_disabled_hosts_as_up2(self):\n compute1 = self.start_service('compute', host='host1')\n compute2 = self.start_service('compute', host='host2')\n s1 = db.service_get_by_args(self.context, 'host1', 'nova-compute')\n s2 = db.service_get_by_args(self.context, 'host2', 'nova-compute')\n db.service_update(self.context, s1['id'], {'disabled': True})\n db.service_update(self.context, s2['id'], {'disabled': True})\n hosts = self.scheduler.driver.hosts_up(self.context, 'compute')\n self.assertEqual(0, len(hosts))\n compute1.kill()\n compute2.kill()","def autodisable_cloud(cloud):\n log.warning(\"Autodisabling %s\", cloud)\n cloud.ctl.disable()\n title = \"Cloud %s has been automatically disabled\" % cloud.name\n message = \"%s after multiple failures to connect to it.\" % title\n notify_user(cloud.owner, title=title, message=message, email_notify=True)","def scp_disable(task):\n cmd = \"no ip scp server enable\"\n task.run(task=netmiko_send_config, config_commands=cmd)\n task.run(task=netmiko_save_config)\n c_print(f\"*** {task.host}: SCP has been disabled ***\")","def _vm_disable_host(zx, vm, log=None):\n log = log or zx.log\n hostid = zx.get_hostid(vm, log=log)\n\n if not hostid:\n log(ERROR, 'Zabbix host for VM %s does not exist!', vm)\n return False\n\n log(WARNING, 'Setting Zabbix host ID \"%s\" status to unmonitored for VM %s', hostid, vm)\n\n if zx.update_host(hostid, log=log, status=zx.HOST_UNMONITORED):\n log(INFO, 'Updated Zabbix host ID \"%s\" status to unmonitored', hostid)\n zx.save_host_info(vm, log=log)\n return True\n else:\n log(ERROR, 'Could not update Zabbix host ID \"%s\" status to unmonitored', hostid)\n return False","def wait_all_ports_admin_disabled(self):\n pass","def on_disable(self) -> None:\n self._cancel_notification_cycle()","def notEnabledDummy(self, ev):\n pass","def disable():\n request = dict(id='gbn')\n _gbn_disable(request)","def set_host_enabled(self, host, enabled):\n if enabled:\n return 'enabled'\n return 'disabled'","def set_host_enabled(self, host, enabled):\n if enabled:\n return 'enabled'\n return 'disabled'","def disable(ctx):\n config_db = ConfigDBConnector()\n config_db.connect()\n config_db.mod_entry(\"NAT_GLOBAL\", \"Values\", {\"admin_mode\": \"disabled\"})","def disable(self):\n self._disable_monitor()\n self._pinger.stop()","def on_disable(self) -> None:\n self._cancel_automation()","def on_disable(self) -> None:\n self._on_stop_cycle({})","def test_offline_nodes_disabled(self):\n with Nodes()as n:\n for node in n.nodes_offline:\n self.assertTrue(\n node.checkbox.find_element_by_tag_name('input').\n is_enabled(),\n 'Node disabled')","def disable_discovery(self):","def disabledPeriodic(self):\n self.putData()","def disable(self) -> None:","def disable_irq() -> int:","def disable_scheduling(topo, hypervisors, change_number='Unknown',\n task_number='Unknown', reason=None,\n when_disabled=du.get_now()):\n succeeded = []\n failed = []\n error = None\n\n # Sanity checks\n if not hypervisors:\n return succeeded, failed, \\\n 'Attempted disable hypervisors for scheduling without ' \\\n 'providing a collection of hypervisors to match. Skipping.'\n if not topo:\n return succeeded, failed, \\\n 'Attempted disable hypervisor for scheduling without ' \\\n 'providing a valid cloud topo. Skipping.'\n\n # Get a list of all compute services for this cloud\n config = topo.render('os_client_config')\n cloud_config = config.get_one_cloud(cloud=topo.cloud.canonical_name)\n cloud = shade.OpenStackCloud(cloud_config=cloud_config)\n nova_client = cloud.nova_client\n services = nova_client.services.list(binary=\"nova-compute\")\n\n # Find common list between services and provided hvs (not already disabled)\n hv_set = set(hypervisors)\n matched_services = []\n for service in services:\n if service.host in hv_set and service.status == 'enabled':\n matched_services.append(service)\n if not matched_services:\n return succeeded, failed, \\\n 'Did not find any enabled HVs to disable. skipping.'\n\n # Disable the services.\n reason = \"Disabled on %s via automation for change (%s), ctask(%s) \" \\\n \"for reason: %s\" % (when_disabled.strftime('%Y-%m-%d'),\n change_number, task_number,\n reason or 'No reason provided')\n for service in matched_services:\n try:\n nova_client.services.disable_log_reason(\n service.host, 'nova-compute', reason=reason)\n succeeded.append(service.host)\n except Exception as ex:\n LOG.exception('Exception while disabling host scheduling')\n failed.append(service.host)\n error = ex.message\n\n return succeeded, failed, error","def disable(self):\n self.error_code = 'DISABLED'\n self.running = False","def set_offline(rg = None):\n if isinstance(rg, int):\n rg = [rg]\n elif rg is None:\n rg = _cpu.get_online_cpus()\n\n for core in rg:\n try:\n _cpu.disable_cpu(core)\n if _verbose:\n print(f\"CPU {core} set offline.\")\n except:\n print(f\"ERROR: An exception occurred. Check if CPU {core} exists.\")","def disable(self):","def on_enable(self) -> None:\n if self._send_notification_func:\n self._send_notification_func()\n self._send_notification_func = None","def syslog_remote_disable(handle, name):\n\n mo = handle.query_dn(\"sys/svc-ext/syslog/client-\" + name)\n if mo:\n mo.admin_state = \"disabled\"\n handle.add_mo(mo, modify_present=True)\n handle.commit()\n else:\n raise ValueError(\"Syslog Mo is not available.\")","def _disable(self):\n self.enabled = False","def _nixie_disable():\n # type: () -> None\n GPIO.output(NIXIE_nOE, GPIO.HIGH)","def disable_everything(self):\n zhinst.utils.disable_everything(self.daq, self.device_id)\n self.log.info(\"Disabled everything.\")","def __disable__(self) -> None:\n pass","def _doDisableRegulation(self):\n self._cmdRegulOff()","async def power_off(self):\n ...","def check_disabled(self):\n return None","def worker_disabled(name, workers=None, profile=\"default\"):\n if workers is None:\n workers = []\n return _bulk_state(\"modjk.bulk_disable\", name, workers, profile)","def set_all_ports_admin_disabled(self):\n pass","def on_enable(self) -> None:\n if self.app.state == self.app.States.clean:\n self._start_notification_cycle()","def disable():\n configdb = ConfigDBConnector()\n configdb.connect()\n port_info = {}\n port_info['FLEX_COUNTER_STATUS'] = 'disable'\n configdb.mod_entry(\"FLEX_COUNTER_TABLE\", \"PORT\", port_info)","def __periodic_maintenance__(self):\n pass","def is_disable_apic(self):\n\t\treturn bool(call_sdk_function('PrlVmCfg_IsDisableAPIC', self.handle))","def disable():\n configdb = ConfigDBConnector()\n configdb.connect()\n tunnel_info = {}\n tunnel_info['FLEX_COUNTER_STATUS'] = DISABLE\n configdb.mod_entry(\"FLEX_COUNTER_TABLE\", \"TUNNEL\", tunnel_info)","def disable(self):\n pass","def stop_notify(self):\n raise NotImplementedError","def check_host(host):\n try:\n request = requests.get(host[0], timeout=3)\n host[1] = bool(re.search(host[1], request.text))\n except Exception:\n host[1] = False\n if host[1] is False:\n os.system(CONFIG['mail_command'].format(\n 'CRITICAL: {} is critical'.format(host[0])))\n\n return host","def test_reports_enabled_hosts_as_up_no_queue(self):\n # NOTE(vish): constructing service without create method\n # because we are going to use it without queue\n compute1 = service.Service('host1',\n 'nova-compute',\n 'compute',\n FLAGS.compute_manager)\n compute1.start()\n compute2 = service.Service('host2',\n 'nova-compute',\n 'compute',\n FLAGS.compute_manager)\n compute2.start()\n hosts = self.scheduler.driver.hosts_up(self.context, 'compute')\n self.assertEqual(2, len(hosts))\n compute1.kill()\n compute2.kill()","def disable(self):\n if not self.labExperiment:\n super().disable()\n else:\n self.zero()\n self.connection.query('close_dm')\n print(\"'BM1k' is now disbaled\")","def disable():\n configdb = ConfigDBConnector()\n configdb.connect()\n fc_info = {}\n fc_info['FLEX_COUNTER_STATUS'] = 'disable'\n configdb.mod_entry(\"FLEX_COUNTER_TABLE\", \"QUEUE_WATERMARK\", fc_info)\n configdb.mod_entry(\"FLEX_COUNTER_TABLE\", \"PG_WATERMARK\", fc_info)\n configdb.mod_entry(\"FLEX_COUNTER_TABLE\", BUFFER_POOL_WATERMARK, fc_info)","def disable(func):\n return func","def periodic_maintainence(self):\n if not hasattr(self,'peer_servers'):\n return\n for key in self.peer_servers.keys():\n if DEBUG: print self.peer_servers[key].last_broadcast_time\n if self.peer_servers[key].is_open_connection == False:\n continue\n if (time.time() - self.peer_servers[key].last_broadcast_time) > 30:\n if DEBUG: print (\"Shutting down inactive peer_server:\",\n self.peer_servers[key].name,\n self.peer_servers[key].server_id,\n 'Last Broadcast time:',\n str(time.time() -float(self.peer_servers[key].last_broadcast_time)),\n 'seconds ago')\n self.peer_servers[key].close()\n #del self.peer_servers[key]\n return # temporary disable\n self.__periodic_maintenance__()","def user_controlled(self) -> None:\n self.cpu_controlled = False","def ComputeERecoverable(self):\r\n pass","def disable(*args, value: bool=True, **kwargs)->None:\n pass","def DisableByRunIf(self):\n self.run_if = 'False'","def can_escalate(self, depended=False):\n if not self.tt_system or not self.tt_system_id:\n return False\n return self.can_notify(depended)","def _led_disable():\n # type: () -> None\n GPIO.output(LED_nOE, GPIO.HIGH)","def operation_enabled(client, name):\n client.configuration.unstable_operations[snake_case(name)] = True","def can_be_disabled(self) -> bool:\n return True","def enabled_on_host() -> Callable[[Loader.ModInfo], bool]:\n def filter_fn(mod_info: Loader.ModInfo) -> bool:\n if len(mod_info.mod_def.hostnames) == 0:\n return True\n\n if HOSTNAME not in mod_info.mod_def.hostnames:\n _LOG.info(\n f\"{mod_info.mod_def.name} is not enabled for host {HOSTNAME}\"\n )\n return False\n return True\n\n return filter_fn","def disabled(name):\n return not enabled(name)","def _vm_disable_sync(zx, vm, log=None):\n log = log or zx.log\n hostid = zx.host_info(vm).get('hostid', None)\n\n if hostid: # zabbix_sync is disabled, but was previously enabled => delete host from zabbix\n log(INFO, 'Zabbix synchronization switched to disabled for VM %s', vm)\n log(WARNING, 'Deleting Zabbix host ID \"%s\" for VM %s', hostid, vm)\n\n if zx.delete_host(hostid, log=log):\n log(INFO, 'Deleted Zabbix host ID \"%s\"', hostid)\n zx.save_host_info(vm, host={}, log=log) # TODO: check this, changed from: zx.host_save(vm, {})\n return True\n else:\n log(ERROR, 'Could not delete Zabbix host ID \"%s\"', hostid)\n return False\n else:\n log(INFO, 'Zabbix synchronization disabled for VM %s', vm)\n return None","def disable(self):\n raise NotImplementedError","def cmd_disable(self, app_name=None):\n rc = self.socket_command_with_project('disable', app_name)\n return rc","def host_num_not(self, host_num_not):\n\n self._host_num_not = host_num_not","def handle_webdisable(bot, ievent):\n cfg.set('webenable', 0)\n cfg.save()\n if plugins.reload('gozerplugs', 'webserver'):\n ievent.reply('done')\n else:\n ievent.reply('error reloading webserver plugin')","async def async_turn_off(self):\n path = \"/ip/firewall/nat\"\n param = \".id\"\n value = None\n for uid in self._ctrl.data[\"nat\"]:\n if (\n self._ctrl.data[\"nat\"][uid][\"name\"]\n == f\"{self._data['protocol']}:{self._data['dst-port']}\"\n ):\n value = self._ctrl.data[\"nat\"][uid][\".id\"]\n\n mod_param = \"disabled\"\n mod_value = True\n self._ctrl.set_value(path, param, value, mod_param, mod_value)\n await self._ctrl.async_update()","async def disable(self, ctx):\n await self.config.guild(ctx.guild).auto.set(True)\n await ctx.send(_(\"Automatic voicechannel creation disabled.\"))","def usb_connectivity_disabled(self, usb_connectivity_disabled):\n\n self._usb_connectivity_disabled = usb_connectivity_disabled","def disable_costs():\n RecurringCost.objects.all().disable_if_done()","def gc_disable():\n raise NotImplementedError()","def usb_connectivity_disabled(self):\n return self._usb_connectivity_disabled","def vm_disable(self, vm, task_log=LOG):\n result = []\n izx_log = self.izx.get_log_fun(task_log)\n ezx_log = self.ezx.get_log_fun(task_log)\n\n if vm.is_zabbix_sync_active():\n result.append(self._vm_disable_host(self.izx, vm, log=izx_log))\n else:\n izx_log(INFO, 'Internal zabbix synchronization disabled for VM %s', vm)\n result.append(None)\n\n if vm.is_external_zabbix_sync_active():\n result.append(self._vm_disable_host(self.ezx, vm, log=ezx_log))\n else:\n ezx_log(INFO, 'External zabbix synchronization disabled for VM %s', vm)\n result.append(None)\n\n return result","async def power_on(self):\n ...","def the_service_should_be_enabled_with_no_errors(driver):\n assert wait_on_element_disappear(driver, 30, xpaths.progress.spinner)\n assert wait_for_attribute_value(driver, 20, xpaths.services.ssh_Service_Toggle, 'class', 'mat-checked')","def disable(self):\n self.enabled = False","def disable(self):\n self._enabled = False","def disable(self):\n\t\tresponse = self.client.post(self._endpoint + \"/disable\")\n\t\treturn bool(response.json[\"success\"])","def disable(self):\r\n self.update(enabled=False)","def disable_server(self, server):\n log.info(\"Disabling %s in netscaler\", server)\n return self.post(\"server?action=disable\", {\"server\": {\"name\": server}}, content_type=self.content_type(\"server\"))","def disable():\n if _status_apf():\n return __apf_cmd(\"-f\")","def disableTaskControls():\n globs.CONTROLLER.resbtn.setDisabled(True)\n globs.CONTROLLER.fixbtn.setDisabled(True)","def on_worker_stopped(self):\n self.connected = False\n self.enable_text.setText(\"Enable: \")\n self.enable_box.setCheckState(Qt.Unchecked)\n\n # Trim potentially useless data\n num_samples = len(self.data_collected.timestamps)\n if self.num_trim_samples >= num_samples:\n self.data_collected.clear()\n else:\n self.data_collected.trim(self.num_trim_samples)\n\n # Old backend:\n #\n # for i in range(len(self.measurements_list)):\n # self.chart_list[i].chart().removeAxis(self.xaxis_list[i])\n # self.chart_list[i].chart().removeAxis(self.yaxis_list[i])\n\n self.disconnect_notify(self.myo_device[\"sender_address\"].hex())\n self.enable_box.setEnabled(True)","def disable_cable_ports(cid):\n\n SQL.execute('''\n SELECT \n cpid,\n guid,\n port,\n hca\n FROM \n cable_ports \n WHERE\n cid = ?\n ''',(\n cid,\n ))\n\n for row in SQL.fetchall(): \n if row['hca']:\n vlog(1, 'ignoring request to disable HCA p%s.' % (row['cpid']))\n continue\n\n if not DISABLE_PORT_STATE_CHANGE: \n ib_mgt.disable_port(int(row['guid']), int(row['port']))\n\n SQL.execute('''\n UPDATE\n cables \n SET\n online = 0\n WHERE\n cid = ?\n ;''', (\n cid,\n ));","def disable():\n ret = {}\n result = __salt__[\"cmd.run_all\"](\n \"pfctl -d\", output_loglevel=\"trace\", python_shell=False\n )\n\n if result[\"retcode\"] == 0:\n ret = {\"comment\": \"pf disabled\", \"changes\": True}\n else:\n # If pf was already disabled the return code is also non-zero.\n # Don't raise an exception in that case.\n if result[\"stderr\"] == \"pfctl: pf not enabled\":\n ret = {\"comment\": \"pf already disabled\", \"changes\": False}\n else:\n raise CommandExecutionError(\n \"Could not disable pf\",\n info={\"errors\": [result[\"stderr\"]], \"changes\": False},\n )\n\n return ret","def disable_relays(self):\n #ensure clock low and data high\n self.e.clear_bit(7)\n self.e.set_bit(5)\n time.sleep(0.01)\n\n #pulse the clock line\n self.e.set_bit(7)\n time.sleep(0.01)\n self.e.clear_bit(7)\n\n #clear the data line\n self.e.clear_bit(5)","def disabled(config):\n disable(config)\n reload_service('apache2')","def disable():\n configdb = ConfigDBConnector()\n configdb.connect()\n port_info = {}\n port_info['FLEX_COUNTER_STATUS'] = DISABLE\n configdb.mod_entry(\"FLEX_COUNTER_TABLE\", PORT_BUFFER_DROP, port_info)","def soft_shutdown(self, wait_for_board_off=False):\n raise DeviceException(DeviceException.FEATURE_NOT_IMPLEMENTED)","def disable(service_name: str, print_action: bool = True):\n\n if print_action:\n print_log_status(3, f\"Disabling `{service_name}`\")\n \n run_command(f\"sudo systemctl disable {service_name}\")","def _isdisable(self):\n return self.dp.state()==PyTango.DevState.DISABLE","def Disable(self):\n handler = self.get_command_object(\"Disable\")\n handler()","def allOff():\n # Get/set special slice IDs\n root_xid = bwlimit.get_xid(\"root\")\n default_xid = bwlimit.get_xid(\"default\")\n kernelhtbs = gethtbs(root_xid, default_xid)\n if len(kernelhtbs):\n logger.log(\"bwmon: Disabling all running HTBs.\")\n for htb in kernelhtbs.keys(): bwlimit.off(htb, dev = dev_default)","async def disable_protection(self) -> None:\n await self._request(\n \"dns_config\", method=\"POST\", json_data={\"protection_enabled\": False},\n )","async def admin_disable(self, ctx: commands.Context):\n if ctx.guild.id not in self.guilds:\n await ctx.send('Team management is already disabled in this guild.')\n return\n await self._disable_guild(guild=ctx.guild)\n await ctx.send('Team management disabled.')","def enableNotify(self):\n while True:\n self._delegate.notificationsRecvd = 0\n self._peripheral.writeCharacteristic(self._readChar.valHandle + 1, b\"\\x01\\x00\")\n self.ping()\n self._peripheral.waitForNotifications(3.0)\n if self.getNotificationsReceived() > 0:\n break\n logging.getLogger(\"anki.overdrive\").error(\"ERROR - Set notify failed - cannot communicate with car!\")","def firewallOff():\n pass","def ceph_enabled(self):","def test_reports_enabled_hosts_as_up(self):\n compute1 = self.start_service('compute', host='host1')\n compute2 = self.start_service('compute', host='host2')\n hosts = self.scheduler.driver.hosts_up(self.context, 'compute')\n self.assertEqual(2, len(hosts))\n compute1.kill()\n compute2.kill()"],"string":"[\n \"def nfvi_notify_compute_host_enabled(host_uuid, host_name, host_personality,\\n callback):\\n cmd_id = _compute_plugin.invoke_plugin('notify_host_enabled',\\n host_uuid, host_name,\\n host_personality,\\n callback=callback)\\n return cmd_id\",\n \"def nfvi_disable_compute_host_services(host_uuid, host_name, host_personality,\\n callback):\\n cmd_id = _compute_plugin.invoke_plugin('disable_host_services',\\n host_uuid, host_name,\\n host_personality,\\n callback=callback)\\n return cmd_id\",\n \"def test_doesnt_report_disabled_hosts_as_up_no_queue(self):\\n # NOTE(vish): constructing service without create method\\n # because we are going to use it without queue\\n compute1 = service.Service('host1',\\n 'nova-compute',\\n 'compute',\\n FLAGS.compute_manager)\\n compute1.start()\\n compute2 = service.Service('host2',\\n 'nova-compute',\\n 'compute',\\n FLAGS.compute_manager)\\n compute2.start()\\n s1 = db.service_get_by_args(self.context, 'host1', 'nova-compute')\\n s2 = db.service_get_by_args(self.context, 'host2', 'nova-compute')\\n db.service_update(self.context, s1['id'], {'disabled': True})\\n db.service_update(self.context, s2['id'], {'disabled': True})\\n hosts = self.scheduler.driver.hosts_up(self.context, 'compute')\\n self.assertEqual(0, len(hosts))\\n compute1.kill()\\n compute2.kill()\",\n \"def nfvi_compute_plugin_disabled():\\n return (_compute_plugin is None)\",\n \"def check_if_host_disabled(self, host, binary='nova-compute'):\\n _service_id = self._find_service_id_by_host(host, binary)\\n if _service_id:\\n _ser = self._client.services.find(id=_service_id)\\n if _ser.status == u'enabled':\\n return False\\n elif _ser.status == u'disabled':\\n return True\\n else:\\n return False\",\n \"def test_doesnt_report_disabled_hosts_as_up2(self):\\n compute1 = self.start_service('compute', host='host1')\\n compute2 = self.start_service('compute', host='host2')\\n s1 = db.service_get_by_args(self.context, 'host1', 'nova-compute')\\n s2 = db.service_get_by_args(self.context, 'host2', 'nova-compute')\\n db.service_update(self.context, s1['id'], {'disabled': True})\\n db.service_update(self.context, s2['id'], {'disabled': True})\\n hosts = self.scheduler.driver.hosts_up(self.context, 'compute')\\n self.assertEqual(0, len(hosts))\\n compute1.kill()\\n compute2.kill()\",\n \"def autodisable_cloud(cloud):\\n log.warning(\\\"Autodisabling %s\\\", cloud)\\n cloud.ctl.disable()\\n title = \\\"Cloud %s has been automatically disabled\\\" % cloud.name\\n message = \\\"%s after multiple failures to connect to it.\\\" % title\\n notify_user(cloud.owner, title=title, message=message, email_notify=True)\",\n \"def scp_disable(task):\\n cmd = \\\"no ip scp server enable\\\"\\n task.run(task=netmiko_send_config, config_commands=cmd)\\n task.run(task=netmiko_save_config)\\n c_print(f\\\"*** {task.host}: SCP has been disabled ***\\\")\",\n \"def _vm_disable_host(zx, vm, log=None):\\n log = log or zx.log\\n hostid = zx.get_hostid(vm, log=log)\\n\\n if not hostid:\\n log(ERROR, 'Zabbix host for VM %s does not exist!', vm)\\n return False\\n\\n log(WARNING, 'Setting Zabbix host ID \\\"%s\\\" status to unmonitored for VM %s', hostid, vm)\\n\\n if zx.update_host(hostid, log=log, status=zx.HOST_UNMONITORED):\\n log(INFO, 'Updated Zabbix host ID \\\"%s\\\" status to unmonitored', hostid)\\n zx.save_host_info(vm, log=log)\\n return True\\n else:\\n log(ERROR, 'Could not update Zabbix host ID \\\"%s\\\" status to unmonitored', hostid)\\n return False\",\n \"def wait_all_ports_admin_disabled(self):\\n pass\",\n \"def on_disable(self) -> None:\\n self._cancel_notification_cycle()\",\n \"def notEnabledDummy(self, ev):\\n pass\",\n \"def disable():\\n request = dict(id='gbn')\\n _gbn_disable(request)\",\n \"def set_host_enabled(self, host, enabled):\\n if enabled:\\n return 'enabled'\\n return 'disabled'\",\n \"def set_host_enabled(self, host, enabled):\\n if enabled:\\n return 'enabled'\\n return 'disabled'\",\n \"def disable(ctx):\\n config_db = ConfigDBConnector()\\n config_db.connect()\\n config_db.mod_entry(\\\"NAT_GLOBAL\\\", \\\"Values\\\", {\\\"admin_mode\\\": \\\"disabled\\\"})\",\n \"def disable(self):\\n self._disable_monitor()\\n self._pinger.stop()\",\n \"def on_disable(self) -> None:\\n self._cancel_automation()\",\n \"def on_disable(self) -> None:\\n self._on_stop_cycle({})\",\n \"def test_offline_nodes_disabled(self):\\n with Nodes()as n:\\n for node in n.nodes_offline:\\n self.assertTrue(\\n node.checkbox.find_element_by_tag_name('input').\\n is_enabled(),\\n 'Node disabled')\",\n \"def disable_discovery(self):\",\n \"def disabledPeriodic(self):\\n self.putData()\",\n \"def disable(self) -> None:\",\n \"def disable_irq() -> int:\",\n \"def disable_scheduling(topo, hypervisors, change_number='Unknown',\\n task_number='Unknown', reason=None,\\n when_disabled=du.get_now()):\\n succeeded = []\\n failed = []\\n error = None\\n\\n # Sanity checks\\n if not hypervisors:\\n return succeeded, failed, \\\\\\n 'Attempted disable hypervisors for scheduling without ' \\\\\\n 'providing a collection of hypervisors to match. Skipping.'\\n if not topo:\\n return succeeded, failed, \\\\\\n 'Attempted disable hypervisor for scheduling without ' \\\\\\n 'providing a valid cloud topo. Skipping.'\\n\\n # Get a list of all compute services for this cloud\\n config = topo.render('os_client_config')\\n cloud_config = config.get_one_cloud(cloud=topo.cloud.canonical_name)\\n cloud = shade.OpenStackCloud(cloud_config=cloud_config)\\n nova_client = cloud.nova_client\\n services = nova_client.services.list(binary=\\\"nova-compute\\\")\\n\\n # Find common list between services and provided hvs (not already disabled)\\n hv_set = set(hypervisors)\\n matched_services = []\\n for service in services:\\n if service.host in hv_set and service.status == 'enabled':\\n matched_services.append(service)\\n if not matched_services:\\n return succeeded, failed, \\\\\\n 'Did not find any enabled HVs to disable. skipping.'\\n\\n # Disable the services.\\n reason = \\\"Disabled on %s via automation for change (%s), ctask(%s) \\\" \\\\\\n \\\"for reason: %s\\\" % (when_disabled.strftime('%Y-%m-%d'),\\n change_number, task_number,\\n reason or 'No reason provided')\\n for service in matched_services:\\n try:\\n nova_client.services.disable_log_reason(\\n service.host, 'nova-compute', reason=reason)\\n succeeded.append(service.host)\\n except Exception as ex:\\n LOG.exception('Exception while disabling host scheduling')\\n failed.append(service.host)\\n error = ex.message\\n\\n return succeeded, failed, error\",\n \"def disable(self):\\n self.error_code = 'DISABLED'\\n self.running = False\",\n \"def set_offline(rg = None):\\n if isinstance(rg, int):\\n rg = [rg]\\n elif rg is None:\\n rg = _cpu.get_online_cpus()\\n\\n for core in rg:\\n try:\\n _cpu.disable_cpu(core)\\n if _verbose:\\n print(f\\\"CPU {core} set offline.\\\")\\n except:\\n print(f\\\"ERROR: An exception occurred. Check if CPU {core} exists.\\\")\",\n \"def disable(self):\",\n \"def on_enable(self) -> None:\\n if self._send_notification_func:\\n self._send_notification_func()\\n self._send_notification_func = None\",\n \"def syslog_remote_disable(handle, name):\\n\\n mo = handle.query_dn(\\\"sys/svc-ext/syslog/client-\\\" + name)\\n if mo:\\n mo.admin_state = \\\"disabled\\\"\\n handle.add_mo(mo, modify_present=True)\\n handle.commit()\\n else:\\n raise ValueError(\\\"Syslog Mo is not available.\\\")\",\n \"def _disable(self):\\n self.enabled = False\",\n \"def _nixie_disable():\\n # type: () -> None\\n GPIO.output(NIXIE_nOE, GPIO.HIGH)\",\n \"def disable_everything(self):\\n zhinst.utils.disable_everything(self.daq, self.device_id)\\n self.log.info(\\\"Disabled everything.\\\")\",\n \"def __disable__(self) -> None:\\n pass\",\n \"def _doDisableRegulation(self):\\n self._cmdRegulOff()\",\n \"async def power_off(self):\\n ...\",\n \"def check_disabled(self):\\n return None\",\n \"def worker_disabled(name, workers=None, profile=\\\"default\\\"):\\n if workers is None:\\n workers = []\\n return _bulk_state(\\\"modjk.bulk_disable\\\", name, workers, profile)\",\n \"def set_all_ports_admin_disabled(self):\\n pass\",\n \"def on_enable(self) -> None:\\n if self.app.state == self.app.States.clean:\\n self._start_notification_cycle()\",\n \"def disable():\\n configdb = ConfigDBConnector()\\n configdb.connect()\\n port_info = {}\\n port_info['FLEX_COUNTER_STATUS'] = 'disable'\\n configdb.mod_entry(\\\"FLEX_COUNTER_TABLE\\\", \\\"PORT\\\", port_info)\",\n \"def __periodic_maintenance__(self):\\n pass\",\n \"def is_disable_apic(self):\\n\\t\\treturn bool(call_sdk_function('PrlVmCfg_IsDisableAPIC', self.handle))\",\n \"def disable():\\n configdb = ConfigDBConnector()\\n configdb.connect()\\n tunnel_info = {}\\n tunnel_info['FLEX_COUNTER_STATUS'] = DISABLE\\n configdb.mod_entry(\\\"FLEX_COUNTER_TABLE\\\", \\\"TUNNEL\\\", tunnel_info)\",\n \"def disable(self):\\n pass\",\n \"def stop_notify(self):\\n raise NotImplementedError\",\n \"def check_host(host):\\n try:\\n request = requests.get(host[0], timeout=3)\\n host[1] = bool(re.search(host[1], request.text))\\n except Exception:\\n host[1] = False\\n if host[1] is False:\\n os.system(CONFIG['mail_command'].format(\\n 'CRITICAL: {} is critical'.format(host[0])))\\n\\n return host\",\n \"def test_reports_enabled_hosts_as_up_no_queue(self):\\n # NOTE(vish): constructing service without create method\\n # because we are going to use it without queue\\n compute1 = service.Service('host1',\\n 'nova-compute',\\n 'compute',\\n FLAGS.compute_manager)\\n compute1.start()\\n compute2 = service.Service('host2',\\n 'nova-compute',\\n 'compute',\\n FLAGS.compute_manager)\\n compute2.start()\\n hosts = self.scheduler.driver.hosts_up(self.context, 'compute')\\n self.assertEqual(2, len(hosts))\\n compute1.kill()\\n compute2.kill()\",\n \"def disable(self):\\n if not self.labExperiment:\\n super().disable()\\n else:\\n self.zero()\\n self.connection.query('close_dm')\\n print(\\\"'BM1k' is now disbaled\\\")\",\n \"def disable():\\n configdb = ConfigDBConnector()\\n configdb.connect()\\n fc_info = {}\\n fc_info['FLEX_COUNTER_STATUS'] = 'disable'\\n configdb.mod_entry(\\\"FLEX_COUNTER_TABLE\\\", \\\"QUEUE_WATERMARK\\\", fc_info)\\n configdb.mod_entry(\\\"FLEX_COUNTER_TABLE\\\", \\\"PG_WATERMARK\\\", fc_info)\\n configdb.mod_entry(\\\"FLEX_COUNTER_TABLE\\\", BUFFER_POOL_WATERMARK, fc_info)\",\n \"def disable(func):\\n return func\",\n \"def periodic_maintainence(self):\\n if not hasattr(self,'peer_servers'):\\n return\\n for key in self.peer_servers.keys():\\n if DEBUG: print self.peer_servers[key].last_broadcast_time\\n if self.peer_servers[key].is_open_connection == False:\\n continue\\n if (time.time() - self.peer_servers[key].last_broadcast_time) > 30:\\n if DEBUG: print (\\\"Shutting down inactive peer_server:\\\",\\n self.peer_servers[key].name,\\n self.peer_servers[key].server_id,\\n 'Last Broadcast time:',\\n str(time.time() -float(self.peer_servers[key].last_broadcast_time)),\\n 'seconds ago')\\n self.peer_servers[key].close()\\n #del self.peer_servers[key]\\n return # temporary disable\\n self.__periodic_maintenance__()\",\n \"def user_controlled(self) -> None:\\n self.cpu_controlled = False\",\n \"def ComputeERecoverable(self):\\r\\n pass\",\n \"def disable(*args, value: bool=True, **kwargs)->None:\\n pass\",\n \"def DisableByRunIf(self):\\n self.run_if = 'False'\",\n \"def can_escalate(self, depended=False):\\n if not self.tt_system or not self.tt_system_id:\\n return False\\n return self.can_notify(depended)\",\n \"def _led_disable():\\n # type: () -> None\\n GPIO.output(LED_nOE, GPIO.HIGH)\",\n \"def operation_enabled(client, name):\\n client.configuration.unstable_operations[snake_case(name)] = True\",\n \"def can_be_disabled(self) -> bool:\\n return True\",\n \"def enabled_on_host() -> Callable[[Loader.ModInfo], bool]:\\n def filter_fn(mod_info: Loader.ModInfo) -> bool:\\n if len(mod_info.mod_def.hostnames) == 0:\\n return True\\n\\n if HOSTNAME not in mod_info.mod_def.hostnames:\\n _LOG.info(\\n f\\\"{mod_info.mod_def.name} is not enabled for host {HOSTNAME}\\\"\\n )\\n return False\\n return True\\n\\n return filter_fn\",\n \"def disabled(name):\\n return not enabled(name)\",\n \"def _vm_disable_sync(zx, vm, log=None):\\n log = log or zx.log\\n hostid = zx.host_info(vm).get('hostid', None)\\n\\n if hostid: # zabbix_sync is disabled, but was previously enabled => delete host from zabbix\\n log(INFO, 'Zabbix synchronization switched to disabled for VM %s', vm)\\n log(WARNING, 'Deleting Zabbix host ID \\\"%s\\\" for VM %s', hostid, vm)\\n\\n if zx.delete_host(hostid, log=log):\\n log(INFO, 'Deleted Zabbix host ID \\\"%s\\\"', hostid)\\n zx.save_host_info(vm, host={}, log=log) # TODO: check this, changed from: zx.host_save(vm, {})\\n return True\\n else:\\n log(ERROR, 'Could not delete Zabbix host ID \\\"%s\\\"', hostid)\\n return False\\n else:\\n log(INFO, 'Zabbix synchronization disabled for VM %s', vm)\\n return None\",\n \"def disable(self):\\n raise NotImplementedError\",\n \"def cmd_disable(self, app_name=None):\\n rc = self.socket_command_with_project('disable', app_name)\\n return rc\",\n \"def host_num_not(self, host_num_not):\\n\\n self._host_num_not = host_num_not\",\n \"def handle_webdisable(bot, ievent):\\n cfg.set('webenable', 0)\\n cfg.save()\\n if plugins.reload('gozerplugs', 'webserver'):\\n ievent.reply('done')\\n else:\\n ievent.reply('error reloading webserver plugin')\",\n \"async def async_turn_off(self):\\n path = \\\"/ip/firewall/nat\\\"\\n param = \\\".id\\\"\\n value = None\\n for uid in self._ctrl.data[\\\"nat\\\"]:\\n if (\\n self._ctrl.data[\\\"nat\\\"][uid][\\\"name\\\"]\\n == f\\\"{self._data['protocol']}:{self._data['dst-port']}\\\"\\n ):\\n value = self._ctrl.data[\\\"nat\\\"][uid][\\\".id\\\"]\\n\\n mod_param = \\\"disabled\\\"\\n mod_value = True\\n self._ctrl.set_value(path, param, value, mod_param, mod_value)\\n await self._ctrl.async_update()\",\n \"async def disable(self, ctx):\\n await self.config.guild(ctx.guild).auto.set(True)\\n await ctx.send(_(\\\"Automatic voicechannel creation disabled.\\\"))\",\n \"def usb_connectivity_disabled(self, usb_connectivity_disabled):\\n\\n self._usb_connectivity_disabled = usb_connectivity_disabled\",\n \"def disable_costs():\\n RecurringCost.objects.all().disable_if_done()\",\n \"def gc_disable():\\n raise NotImplementedError()\",\n \"def usb_connectivity_disabled(self):\\n return self._usb_connectivity_disabled\",\n \"def vm_disable(self, vm, task_log=LOG):\\n result = []\\n izx_log = self.izx.get_log_fun(task_log)\\n ezx_log = self.ezx.get_log_fun(task_log)\\n\\n if vm.is_zabbix_sync_active():\\n result.append(self._vm_disable_host(self.izx, vm, log=izx_log))\\n else:\\n izx_log(INFO, 'Internal zabbix synchronization disabled for VM %s', vm)\\n result.append(None)\\n\\n if vm.is_external_zabbix_sync_active():\\n result.append(self._vm_disable_host(self.ezx, vm, log=ezx_log))\\n else:\\n ezx_log(INFO, 'External zabbix synchronization disabled for VM %s', vm)\\n result.append(None)\\n\\n return result\",\n \"async def power_on(self):\\n ...\",\n \"def the_service_should_be_enabled_with_no_errors(driver):\\n assert wait_on_element_disappear(driver, 30, xpaths.progress.spinner)\\n assert wait_for_attribute_value(driver, 20, xpaths.services.ssh_Service_Toggle, 'class', 'mat-checked')\",\n \"def disable(self):\\n self.enabled = False\",\n \"def disable(self):\\n self._enabled = False\",\n \"def disable(self):\\n\\t\\tresponse = self.client.post(self._endpoint + \\\"/disable\\\")\\n\\t\\treturn bool(response.json[\\\"success\\\"])\",\n \"def disable(self):\\r\\n self.update(enabled=False)\",\n \"def disable_server(self, server):\\n log.info(\\\"Disabling %s in netscaler\\\", server)\\n return self.post(\\\"server?action=disable\\\", {\\\"server\\\": {\\\"name\\\": server}}, content_type=self.content_type(\\\"server\\\"))\",\n \"def disable():\\n if _status_apf():\\n return __apf_cmd(\\\"-f\\\")\",\n \"def disableTaskControls():\\n globs.CONTROLLER.resbtn.setDisabled(True)\\n globs.CONTROLLER.fixbtn.setDisabled(True)\",\n \"def on_worker_stopped(self):\\n self.connected = False\\n self.enable_text.setText(\\\"Enable: \\\")\\n self.enable_box.setCheckState(Qt.Unchecked)\\n\\n # Trim potentially useless data\\n num_samples = len(self.data_collected.timestamps)\\n if self.num_trim_samples >= num_samples:\\n self.data_collected.clear()\\n else:\\n self.data_collected.trim(self.num_trim_samples)\\n\\n # Old backend:\\n #\\n # for i in range(len(self.measurements_list)):\\n # self.chart_list[i].chart().removeAxis(self.xaxis_list[i])\\n # self.chart_list[i].chart().removeAxis(self.yaxis_list[i])\\n\\n self.disconnect_notify(self.myo_device[\\\"sender_address\\\"].hex())\\n self.enable_box.setEnabled(True)\",\n \"def disable_cable_ports(cid):\\n\\n SQL.execute('''\\n SELECT \\n cpid,\\n guid,\\n port,\\n hca\\n FROM \\n cable_ports \\n WHERE\\n cid = ?\\n ''',(\\n cid,\\n ))\\n\\n for row in SQL.fetchall(): \\n if row['hca']:\\n vlog(1, 'ignoring request to disable HCA p%s.' % (row['cpid']))\\n continue\\n\\n if not DISABLE_PORT_STATE_CHANGE: \\n ib_mgt.disable_port(int(row['guid']), int(row['port']))\\n\\n SQL.execute('''\\n UPDATE\\n cables \\n SET\\n online = 0\\n WHERE\\n cid = ?\\n ;''', (\\n cid,\\n ));\",\n \"def disable():\\n ret = {}\\n result = __salt__[\\\"cmd.run_all\\\"](\\n \\\"pfctl -d\\\", output_loglevel=\\\"trace\\\", python_shell=False\\n )\\n\\n if result[\\\"retcode\\\"] == 0:\\n ret = {\\\"comment\\\": \\\"pf disabled\\\", \\\"changes\\\": True}\\n else:\\n # If pf was already disabled the return code is also non-zero.\\n # Don't raise an exception in that case.\\n if result[\\\"stderr\\\"] == \\\"pfctl: pf not enabled\\\":\\n ret = {\\\"comment\\\": \\\"pf already disabled\\\", \\\"changes\\\": False}\\n else:\\n raise CommandExecutionError(\\n \\\"Could not disable pf\\\",\\n info={\\\"errors\\\": [result[\\\"stderr\\\"]], \\\"changes\\\": False},\\n )\\n\\n return ret\",\n \"def disable_relays(self):\\n #ensure clock low and data high\\n self.e.clear_bit(7)\\n self.e.set_bit(5)\\n time.sleep(0.01)\\n\\n #pulse the clock line\\n self.e.set_bit(7)\\n time.sleep(0.01)\\n self.e.clear_bit(7)\\n\\n #clear the data line\\n self.e.clear_bit(5)\",\n \"def disabled(config):\\n disable(config)\\n reload_service('apache2')\",\n \"def disable():\\n configdb = ConfigDBConnector()\\n configdb.connect()\\n port_info = {}\\n port_info['FLEX_COUNTER_STATUS'] = DISABLE\\n configdb.mod_entry(\\\"FLEX_COUNTER_TABLE\\\", PORT_BUFFER_DROP, port_info)\",\n \"def soft_shutdown(self, wait_for_board_off=False):\\n raise DeviceException(DeviceException.FEATURE_NOT_IMPLEMENTED)\",\n \"def disable(service_name: str, print_action: bool = True):\\n\\n if print_action:\\n print_log_status(3, f\\\"Disabling `{service_name}`\\\")\\n \\n run_command(f\\\"sudo systemctl disable {service_name}\\\")\",\n \"def _isdisable(self):\\n return self.dp.state()==PyTango.DevState.DISABLE\",\n \"def Disable(self):\\n handler = self.get_command_object(\\\"Disable\\\")\\n handler()\",\n \"def allOff():\\n # Get/set special slice IDs\\n root_xid = bwlimit.get_xid(\\\"root\\\")\\n default_xid = bwlimit.get_xid(\\\"default\\\")\\n kernelhtbs = gethtbs(root_xid, default_xid)\\n if len(kernelhtbs):\\n logger.log(\\\"bwmon: Disabling all running HTBs.\\\")\\n for htb in kernelhtbs.keys(): bwlimit.off(htb, dev = dev_default)\",\n \"async def disable_protection(self) -> None:\\n await self._request(\\n \\\"dns_config\\\", method=\\\"POST\\\", json_data={\\\"protection_enabled\\\": False},\\n )\",\n \"async def admin_disable(self, ctx: commands.Context):\\n if ctx.guild.id not in self.guilds:\\n await ctx.send('Team management is already disabled in this guild.')\\n return\\n await self._disable_guild(guild=ctx.guild)\\n await ctx.send('Team management disabled.')\",\n \"def enableNotify(self):\\n while True:\\n self._delegate.notificationsRecvd = 0\\n self._peripheral.writeCharacteristic(self._readChar.valHandle + 1, b\\\"\\\\x01\\\\x00\\\")\\n self.ping()\\n self._peripheral.waitForNotifications(3.0)\\n if self.getNotificationsReceived() > 0:\\n break\\n logging.getLogger(\\\"anki.overdrive\\\").error(\\\"ERROR - Set notify failed - cannot communicate with car!\\\")\",\n \"def firewallOff():\\n pass\",\n \"def ceph_enabled(self):\",\n \"def test_reports_enabled_hosts_as_up(self):\\n compute1 = self.start_service('compute', host='host1')\\n compute2 = self.start_service('compute', host='host2')\\n hosts = self.scheduler.driver.hosts_up(self.context, 'compute')\\n self.assertEqual(2, len(hosts))\\n compute1.kill()\\n compute2.kill()\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.6590806","0.65881276","0.6332107","0.6331109","0.6220316","0.620537","0.6117578","0.6104185","0.6052198","0.6050748","0.59577185","0.58573514","0.5832847","0.5814101","0.5814101","0.5747102","0.5736996","0.57186717","0.5702843","0.57011414","0.5687968","0.56633186","0.5635666","0.5625707","0.5617012","0.5607785","0.5596604","0.55958205","0.5590055","0.5576635","0.5554203","0.55453694","0.5527084","0.5519666","0.5512584","0.5508173","0.54940295","0.5440121","0.5438235","0.54355335","0.54326135","0.54256684","0.5400962","0.53927547","0.53830355","0.5378065","0.53725356","0.53648007","0.53589565","0.5347388","0.5338479","0.533709","0.53344893","0.533014","0.5316964","0.5308256","0.53065866","0.5301164","0.52859485","0.527455","0.5272777","0.52707434","0.5267734","0.5253898","0.52480304","0.5246482","0.52445096","0.52425116","0.5241489","0.52349234","0.52161175","0.5203201","0.51953566","0.5190074","0.5186678","0.5180645","0.5160671","0.51493275","0.5141745","0.5141423","0.5141374","0.51362276","0.51302445","0.5126428","0.5120406","0.511849","0.5111484","0.510442","0.51007235","0.510053","0.509742","0.50949216","0.50931334","0.5090882","0.50905424","0.5089037","0.50846326","0.50845253","0.50825226","0.50817645"],"string":"[\n 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services"},"document":{"kind":"string","value":"def nfvi_disable_compute_host_services(host_uuid, host_name, host_personality,\n callback):\n cmd_id = _compute_plugin.invoke_plugin('disable_host_services',\n host_uuid, host_name,\n host_personality,\n callback=callback)\n return cmd_id"},"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 nfvi_notify_compute_host_disabled(host_uuid, host_name, host_personality,\n callback):\n cmd_id = _compute_plugin.invoke_plugin('notify_host_disabled',\n host_uuid, host_name,\n host_personality,\n callback=callback)\n return cmd_id","def check_if_host_disabled(self, host, binary='nova-compute'):\n _service_id = self._find_service_id_by_host(host, binary)\n if _service_id:\n _ser = self._client.services.find(id=_service_id)\n if _ser.status == u'enabled':\n return False\n elif _ser.status == u'disabled':\n return True\n else:\n return False","def test_doesnt_report_disabled_hosts_as_up2(self):\n compute1 = self.start_service('compute', host='host1')\n compute2 = self.start_service('compute', host='host2')\n s1 = db.service_get_by_args(self.context, 'host1', 'nova-compute')\n s2 = db.service_get_by_args(self.context, 'host2', 'nova-compute')\n db.service_update(self.context, s1['id'], {'disabled': True})\n db.service_update(self.context, s2['id'], {'disabled': True})\n hosts = self.scheduler.driver.hosts_up(self.context, 'compute')\n self.assertEqual(0, len(hosts))\n compute1.kill()\n compute2.kill()","def test_doesnt_report_disabled_hosts_as_up_no_queue(self):\n # NOTE(vish): constructing service without create method\n # because we are going to use it without queue\n compute1 = service.Service('host1',\n 'nova-compute',\n 'compute',\n FLAGS.compute_manager)\n compute1.start()\n compute2 = service.Service('host2',\n 'nova-compute',\n 'compute',\n FLAGS.compute_manager)\n compute2.start()\n s1 = db.service_get_by_args(self.context, 'host1', 'nova-compute')\n s2 = db.service_get_by_args(self.context, 'host2', 'nova-compute')\n db.service_update(self.context, s1['id'], {'disabled': True})\n db.service_update(self.context, s2['id'], {'disabled': True})\n hosts = self.scheduler.driver.hosts_up(self.context, 'compute')\n self.assertEqual(0, len(hosts))\n compute1.kill()\n compute2.kill()","def disable_scheduling(topo, hypervisors, change_number='Unknown',\n task_number='Unknown', reason=None,\n when_disabled=du.get_now()):\n succeeded = []\n failed = []\n error = None\n\n # Sanity checks\n if not hypervisors:\n return succeeded, failed, \\\n 'Attempted disable hypervisors for scheduling without ' \\\n 'providing a collection of hypervisors to match. Skipping.'\n if not topo:\n return succeeded, failed, \\\n 'Attempted disable hypervisor for scheduling without ' \\\n 'providing a valid cloud topo. Skipping.'\n\n # Get a list of all compute services for this cloud\n config = topo.render('os_client_config')\n cloud_config = config.get_one_cloud(cloud=topo.cloud.canonical_name)\n cloud = shade.OpenStackCloud(cloud_config=cloud_config)\n nova_client = cloud.nova_client\n services = nova_client.services.list(binary=\"nova-compute\")\n\n # Find common list between services and provided hvs (not already disabled)\n hv_set = set(hypervisors)\n matched_services = []\n for service in services:\n if service.host in hv_set and service.status == 'enabled':\n matched_services.append(service)\n if not matched_services:\n return succeeded, failed, \\\n 'Did not find any enabled HVs to disable. skipping.'\n\n # Disable the services.\n reason = \"Disabled on %s via automation for change (%s), ctask(%s) \" \\\n \"for reason: %s\" % (when_disabled.strftime('%Y-%m-%d'),\n change_number, task_number,\n reason or 'No reason provided')\n for service in matched_services:\n try:\n nova_client.services.disable_log_reason(\n service.host, 'nova-compute', reason=reason)\n succeeded.append(service.host)\n except Exception as ex:\n LOG.exception('Exception while disabling host scheduling')\n failed.append(service.host)\n error = ex.message\n\n return succeeded, failed, error","def nfvi_compute_plugin_disabled():\n return (_compute_plugin is None)","def disable(service_name: str, print_action: bool = True):\n\n if print_action:\n print_log_status(3, f\"Disabling `{service_name}`\")\n \n run_command(f\"sudo systemctl disable {service_name}\")","def disable_discovery(self):","def _vm_disable_host(zx, vm, log=None):\n log = log or zx.log\n hostid = zx.get_hostid(vm, log=log)\n\n if not hostid:\n log(ERROR, 'Zabbix host for VM %s does not exist!', vm)\n return False\n\n log(WARNING, 'Setting Zabbix host ID \"%s\" status to unmonitored for VM %s', hostid, vm)\n\n if zx.update_host(hostid, log=log, status=zx.HOST_UNMONITORED):\n log(INFO, 'Updated Zabbix host ID \"%s\" status to unmonitored', hostid)\n zx.save_host_info(vm, log=log)\n return True\n else:\n log(ERROR, 'Could not update Zabbix host ID \"%s\" status to unmonitored', hostid)\n return False","def test_no_adapter_opts_ignore_service_type(self):\n self.oslo_config_dict['heat'] = None\n self.assert_service_disabled(\n 'orchestration',\n \"Not in the list of requested service_types.\",\n # 'orchestration' absent from this list\n service_types=['compute'],\n )","def disabled(config):\n disable(config)\n reload_service('apache2')","def test_reports_enabled_hosts_as_up_no_queue(self):\n # NOTE(vish): constructing service without create method\n # because we are going to use it without queue\n compute1 = service.Service('host1',\n 'nova-compute',\n 'compute',\n FLAGS.compute_manager)\n compute1.start()\n compute2 = service.Service('host2',\n 'nova-compute',\n 'compute',\n FLAGS.compute_manager)\n compute2.start()\n hosts = self.scheduler.driver.hosts_up(self.context, 'compute')\n self.assertEqual(2, len(hosts))\n compute1.kill()\n compute2.kill()","def disable(ctx):\n config_db = ConfigDBConnector()\n config_db.connect()\n config_db.mod_entry(\"NAT_GLOBAL\", \"Values\", {\"admin_mode\": \"disabled\"})","def nfvi_enable_compute_host_services(host_uuid, host_name, host_personality,\n callback):\n cmd_id = _compute_plugin.invoke_plugin('enable_host_services',\n host_uuid, host_name,\n host_personality,\n callback=callback)\n return cmd_id","def scp_disable(task):\n cmd = \"no ip scp server enable\"\n task.run(task=netmiko_send_config, config_commands=cmd)\n task.run(task=netmiko_save_config)\n c_print(f\"*** {task.host}: SCP has been disabled ***\")","def disable():\n request = dict(id='gbn')\n _gbn_disable(request)","def test_dontStartPrivilegedService(self):\n ports = self._privilegedStartService(self.highPortNumber)\n self.assertEqual(ports, [])","def remove_compute(compute_targets):\n for name, ct in compute_targets.items():\n compute_targets[name].delete()","def disable_server(self, server):\n log.info(\"Disabling %s in netscaler\", server)\n return self.post(\"server?action=disable\", {\"server\": {\"name\": server}}, content_type=self.content_type(\"server\"))","def allOff():\n # Get/set special slice IDs\n root_xid = bwlimit.get_xid(\"root\")\n default_xid = bwlimit.get_xid(\"default\")\n kernelhtbs = gethtbs(root_xid, default_xid)\n if len(kernelhtbs):\n logger.log(\"bwmon: Disabling all running HTBs.\")\n for htb in kernelhtbs.keys(): bwlimit.off(htb, dev = dev_default)","def set_all_ports_admin_disabled(self):\n pass","def disable_everything(self):\n zhinst.utils.disable_everything(self.daq, self.device_id)\n self.log.info(\"Disabled everything.\")","def disable_service(service_name):\n run_program(['sc', 'config', service_name, 'start=', 'disabled'])\n\n # Verify service was disabled\n start_type = get_service_start_type(service_name)\n if not start_type.lower().startswith('disabled'):\n raise GenericError('Failed to disable service {}'.format(service_name))","def set_offline(rg = None):\n if isinstance(rg, int):\n rg = [rg]\n elif rg is None:\n rg = _cpu.get_online_cpus()\n\n for core in rg:\n try:\n _cpu.disable_cpu(core)\n if _verbose:\n print(f\"CPU {core} set offline.\")\n except:\n print(f\"ERROR: An exception occurred. Check if CPU {core} exists.\")","def test_reports_enabled_hosts_as_up(self):\n compute1 = self.start_service('compute', host='host1')\n compute2 = self.start_service('compute', host='host2')\n hosts = self.scheduler.driver.hosts_up(self.context, 'compute')\n self.assertEqual(2, len(hosts))\n compute1.kill()\n compute2.kill()","def vm_disable(self, vm, task_log=LOG):\n result = []\n izx_log = self.izx.get_log_fun(task_log)\n ezx_log = self.ezx.get_log_fun(task_log)\n\n if vm.is_zabbix_sync_active():\n result.append(self._vm_disable_host(self.izx, vm, log=izx_log))\n else:\n izx_log(INFO, 'Internal zabbix synchronization disabled for VM %s', vm)\n result.append(None)\n\n if vm.is_external_zabbix_sync_active():\n result.append(self._vm_disable_host(self.ezx, vm, log=ezx_log))\n else:\n ezx_log(INFO, 'External zabbix synchronization disabled for VM %s', vm)\n result.append(None)\n\n return result","def disable():\n configdb = ConfigDBConnector()\n configdb.connect()\n port_info = {}\n port_info['FLEX_COUNTER_STATUS'] = 'disable'\n configdb.mod_entry(\"FLEX_COUNTER_TABLE\", \"PORT\", port_info)","def cleanup_infrastructure_compute(config, context):\n log.info(\"### Cleaning up infrastructure ###\")\n admin = context.getAdministrationService()\n for datacenter in admin.listDatacenters():\n cleanup_infrastructure_storage(config, datacenter)\n cleanup_infrastructure_network(config, datacenter)\n # This will remove the datacenter and all hypervisors\n # (if they don't contain deplopyed VMs)\n log.info(\"Removing datacenter %s...\" % datacenter.getName())\n datacenter.delete()","def disable(self):\n self._disable_monitor()\n self._pinger.stop()","def disable_service(self, **kwargs):\n put_body = json.dumps(kwargs)\n resp, body = self.put('os-services/disable', put_body)\n body = json.loads(body)\n self.validate_response(schema.disable_service, resp, body)\n return rest_client.ResponseBody(resp, body)","def stopStorageServices():\n sudo('/etc/init.d/tomcat6 stop')\n sudo('/etc/init.d/postgresql-8.4 stop')","async def disable_protection(self) -> None:\n await self._request(\n \"dns_config\", method=\"POST\", json_data={\"protection_enabled\": False},\n )","def worker_disabled(name, workers=None, profile=\"default\"):\n if workers is None:\n workers = []\n return _bulk_state(\"modjk.bulk_disable\", name, workers, profile)","def firewallOff():\n pass","def set_management_http(enabled=True, deploy=False):\n\n if enabled is True:\n value = \"no\"\n elif enabled is False:\n value = \"yes\"\n else:\n raise CommandExecutionError(\n \"Invalid option provided for service enabled option.\"\n )\n\n ret = {}\n\n query = {\n \"type\": \"config\",\n \"action\": \"set\",\n \"xpath\": \"/config/devices/entry[@name='localhost.localdomain']/deviceconfig/system/service\",\n \"element\": \"<disable-http>{}</disable-http>\".format(value),\n }\n\n ret.update(__proxy__[\"panos.call\"](query))\n\n if deploy is True:\n ret.update(commit())\n\n return ret","def disable():\n configdb = ConfigDBConnector()\n configdb.connect()\n tunnel_info = {}\n tunnel_info['FLEX_COUNTER_STATUS'] = DISABLE\n configdb.mod_entry(\"FLEX_COUNTER_TABLE\", \"TUNNEL\", tunnel_info)","def wait_all_ports_admin_disabled(self):\n pass","def enable_disable_fault_injection(self, hosts, enable=True):\n if enable:\n result = run_pcmd(hosts, \"daos_debug_set_params -v 67174515\")\n else:\n result = run_pcmd(hosts, \"daos_debug_set_params -v 67108864\")\n self.check_result(result)","def autodisable_cloud(cloud):\n log.warning(\"Autodisabling %s\", cloud)\n cloud.ctl.disable()\n title = \"Cloud %s has been automatically disabled\" % cloud.name\n message = \"%s after multiple failures to connect to it.\" % title\n notify_user(cloud.owner, title=title, message=message, email_notify=True)","def set_management_ssh(enabled=True, deploy=False):\n\n if enabled is True:\n value = \"no\"\n elif enabled is False:\n value = \"yes\"\n else:\n raise CommandExecutionError(\n \"Invalid option provided for service enabled option.\"\n )\n\n ret = {}\n\n query = {\n \"type\": \"config\",\n \"action\": \"set\",\n \"xpath\": \"/config/devices/entry[@name='localhost.localdomain']/deviceconfig/system/service\",\n \"element\": \"<disable-ssh>{}</disable-ssh>\".format(value),\n }\n\n ret.update(__proxy__[\"panos.call\"](query))\n\n if deploy is True:\n ret.update(commit())\n\n return ret","def set_host_enabled(self, host, enabled):\n if enabled:\n return 'enabled'\n return 'disabled'","def set_host_enabled(self, host, enabled):\n if enabled:\n return 'enabled'\n return 'disabled'","def gc_disable():\n raise NotImplementedError()","def test_no_such_conf_section_ignore_service_type(self):\n del self.oslo_config_dict['heat']\n self.assert_service_disabled(\n 'orchestration',\n \"Not in the list of requested service_types.\",\n # 'orchestration' absent from this list\n service_types=['compute'],\n )","def no_ha(self, vlan_tag):\n\n if len(self.hostnames) == 1:\n LOG.debug(\"Only one machine, doesn't need to configure HA\")\n return True\n\n interface_name = self.in_interface\n if vlan_tag:\n interface_name = \"vlan.\" + vlan_tag\n\n cmd_apv_disable_cluster = ADCDevice.cluster_disable(interface_name)\n cmd_apv_clear_cluster_config = ADCDevice.cluster_clear_virtual_interface(interface_name)\n\n for base_rest_url in self.base_rest_urls:\n # disable the virtual cluster\n self.run_cli_extend(base_rest_url, cmd_apv_disable_cluster)\n\n # clear the configuration of this virtual ifname\n self.run_cli_extend(base_rest_url, cmd_apv_clear_cluster_config)","def test_no_adapter_opts(self):\n self.oslo_config_dict['heat'] = None\n self.assert_service_disabled(\n 'orchestration',\n \"Encountered an exception attempting to process config for \"\n \"project 'heat' (service type 'orchestration'): no such option\",\n )","def test_live_migration_src_check_compute_node_not_alive(self):\n instance_id = self._create_instance()\n i_ref = db.instance_get(self.context, instance_id)\n t = utils.utcnow() - datetime.timedelta(10)\n s_ref = self._create_compute_service(created_at=t, updated_at=t,\n host=i_ref['host'])\n\n self.assertRaises(exception.ComputeServiceUnavailable,\n self.scheduler.driver._live_migration_src_check,\n self.context, i_ref)\n\n db.instance_destroy(self.context, instance_id)\n db.service_destroy(self.context, s_ref['id'])","def nfvi_notify_compute_host_enabled(host_uuid, host_name, host_personality,\n callback):\n cmd_id = _compute_plugin.invoke_plugin('notify_host_enabled',\n host_uuid, host_name,\n host_personality,\n callback=callback)\n return cmd_id","def _doDisableRegulation(self):\n self._cmdRegulOff()","def disable(self):\n\n super().disable()\n self._slo_image_size.disable()\n self._slo_neural_network.disable()\n self._slo_number_of_epochs.disable()\n self._slo_examples_per_batch.disable()","def disable(self) -> None:","def disable_cloud_dataset(self):\n self._boto3 = None\n self._botocore = None","def power_off_vm_hard(v_sphere, vmw_vm):\n\n task = vmw_vm.PowerOff()\n task_functions.wait_for_task_complete(v_sphere, task, timeout_seconds=60)","def power_off_soft(self, timeout_secs=None, async=False):\n self.cluster().power_off_nodes_soft([self],\n timeout_secs=timeout_secs,\n async=async)","def deregister_elastic_ip(ElasticIp=None):\n pass","def stop(self):\n self.log.info(\"Stopping servers\")\n if self.runner.job.yaml_params.is_nvme():\n self.kill()\n self.storage_reset()\n # Make sure the mount directory belongs to non-root user\n self.log.info(\"Changing ownership of mount to non-root user\")\n cmd = \"sudo chown -R {0}:{0} /mnt/daos*\".format(getpass.getuser())\n pcmd(self._hosts, cmd, False)\n else:\n try:\n self.runner.stop()\n except CommandFailure as error:\n raise ServerFailed(\"Failed to stop servers:{}\".format(error))","def disable_dhcp_helper(self, network_id):\n network = self.cache.get_network_by_id(network_id)\n if network:\n if self.call_driver('disable', network):\n self.cache.remove(network)","def power_off(self):\n for vm in self.vms:\n try:\n vm.name = \"%s_%s\" % (self.resource_pool, vm.name)\n vm.power_off(manager=self.manager)\n except:\n self.logger.error(\"Error with VM '%s'\" % vm.name)\n raise","def set_chassis_cluster_disable(self):\n return self.dev.rpc.set_chassis_cluster_disable(\n reboot=True, normalize=True)","def set_management_icmp(enabled=True, deploy=False):\n\n if enabled is True:\n value = \"no\"\n elif enabled is False:\n value = \"yes\"\n else:\n raise CommandExecutionError(\n \"Invalid option provided for service enabled option.\"\n )\n\n ret = {}\n\n query = {\n \"type\": \"config\",\n \"action\": \"set\",\n \"xpath\": \"/config/devices/entry[@name='localhost.localdomain']/deviceconfig/system/service\",\n \"element\": \"<disable-icmp>{}</disable-icmp>\".format(value),\n }\n\n ret.update(__proxy__[\"panos.call\"](query))\n\n if deploy is True:\n ret.update(commit())\n\n return ret","def disable():\n ret = {}\n result = __salt__[\"cmd.run_all\"](\n \"pfctl -d\", output_loglevel=\"trace\", python_shell=False\n )\n\n if result[\"retcode\"] == 0:\n ret = {\"comment\": \"pf disabled\", \"changes\": True}\n else:\n # If pf was already disabled the return code is also non-zero.\n # Don't raise an exception in that case.\n if result[\"stderr\"] == \"pfctl: pf not enabled\":\n ret = {\"comment\": \"pf already disabled\", \"changes\": False}\n else:\n raise CommandExecutionError(\n \"Could not disable pf\",\n info={\"errors\": [result[\"stderr\"]], \"changes\": False},\n )\n\n return ret","def test_no_endpoint_ignore_service_type(self):\n self.assert_service_disabled(\n 'monitoring',\n \"Not in the list of requested service_types.\",\n # 'monitoring' absent from this list\n service_types={'compute', 'orchestration', 'bogus'},\n )","def deploy_common_services():\n put('./minion/*', '/etc/systemd/system', use_sudo=True)\n sudo('source /etc/environment')\n sudo('/opt/bin/substitute_private_ipv4.sh /etc/systemd/system/flannel.service')\n sudo('/opt/bin/substitute_private_ipv4.sh /etc/systemd/system/kubelet.service')\n\n sudo('systemctl enable /etc/systemd/system/flannel.service')\n sudo('systemctl enable /etc/systemd/system/docker.service')\n sudo('systemctl enable /etc/systemd/system/kube-proxy.service')\n sudo('systemctl enable /etc/systemd/system/kubelet.service')\n\n sudo('systemctl daemon-reload')\n\n sudo('systemctl start flannel')\n sudo('systemctl start docker')\n sudo('systemctl start kube-proxy')\n sudo('systemctl start kubelet')","def _disable(self):\n self.enabled = False","def free_host(self, context):\n cluster_config = self._session._call_method(\n vutil, \"get_object_property\", self._cluster, \"configurationEx\")\n\n # get the group\n group = self._get_group(cluster_config)\n\n failover_hosts = []\n policy = cluster_config.dasConfig.admissionControlPolicy\n if policy and hasattr(policy, 'failoverHosts'):\n failover_hosts = set(vutil.get_moref_value(h)\n for h in policy.failoverHosts)\n\n if group is None or not getattr(group, 'host', None):\n # find a host to free\n\n # retrieve all hosts of the cluster\n host_objs = {vutil.get_moref_value(h): h\n for h in self._get_hosts_in_cluster(self._cluster)}\n vms_per_host = {h: [] for h in host_objs}\n\n # get all the vms in a cluster, because we need to find a host\n # without big VMs.\n props = ['config.hardware.memoryMB', 'runtime.host',\n 'runtime.powerState',\n 'summary.quickStats.hostMemoryUsage']\n cluster_vms = self._vmops._list_instances_in_cluster(props)\n\n for vm_uuid, vm_props in cluster_vms:\n props = (vm_props.get('config.hardware.memoryMB', 0),\n vm_props.get('runtime.powerState', 'poweredOff'),\n vm_props.get('summary.quickStats.hostMemoryUsage', 0))\n # every host_obj is differnt, even though the value, which\n # really matters, is the same\n host_obj = vm_props.get('runtime.host')\n if not host_obj:\n continue\n\n host = vutil.get_moref_value(host_obj)\n vms_per_host.setdefault(host, []). \\\n append(props)\n\n # filter for hosts without big VMs\n vms_per_host = {h: vms for h, vms in vms_per_host.items()\n if all(mem < CONF.largevm_mb\n for mem, state, used_mem in vms)}\n\n if not vms_per_host:\n LOG.warning('No suitable host found for freeing a host for '\n 'spawning (bigvm filter).')\n return FREE_HOST_STATE_ERROR\n\n # filter hosts which are failover hosts\n vms_per_host = {h: vms for h, vms in vms_per_host.items()\n if h not in failover_hosts}\n\n if not vms_per_host:\n LOG.warning('No suitable host found for freeing a host for '\n 'spawning (failover host filter).')\n return FREE_HOST_STATE_ERROR\n\n # filter hosts which are in a wrong state\n result = self._session._call_method(vim_util,\n \"get_properties_for_a_collection_of_objects\",\n \"HostSystem\",\n [host_objs[h] for h in vms_per_host],\n ['summary.runtime'])\n host_states = {}\n with vutil.WithRetrieval(self._session.vim, result) as objects:\n for obj in objects:\n host_props = propset_dict(obj.propSet)\n runtime_summary = host_props['summary.runtime']\n moref_value = vutil.get_moref_value(obj.obj)\n host_states[moref_value] = (\n runtime_summary.inMaintenanceMode is False and\n runtime_summary.connectionState == \"connected\")\n\n vms_per_host = {h: vms for h, vms in vms_per_host.items()\n if host_states[h]}\n\n if not vms_per_host:\n LOG.warning('No suitable host found for freeing a host for '\n 'spawning (host state filter).')\n return FREE_HOST_STATE_ERROR\n\n mem_per_host = {h: sum(used_mem for mem, state, used_mem in vms)\n for h, vms in vms_per_host.items()}\n\n # take the one with least memory used\n host, _ = sorted(mem_per_host.items(), key=itemgetter(1))[0]\n host_ref = host_objs[host]\n\n client_factory = self._session.vim.client.factory\n config_spec = client_factory.create('ns0:ClusterConfigSpecEx')\n\n # we need to either create the group from scratch or at least add a\n # host to it\n operation = 'add' if group is None else 'edit'\n group = cluster_util.create_host_group(client_factory,\n CONF.vmware.bigvm_deployment_free_host_hostgroup_name,\n [host_ref], group)\n group_spec = cluster_util.create_group_spec(client_factory,\n group, operation)\n config_spec.groupSpec = [group_spec]\n\n # create the appropriate rule for VMs to leave the host\n rule_name = '{}_anti-affinity'.format(\n CONF.vmware.bigvm_deployment_free_host_hostgroup_name)\n rule = cluster_util._get_rule(cluster_config, rule_name)\n rule_spec = cluster_util._create_cluster_group_rules_spec(\n client_factory, rule_name,\n CONF.vmware.special_spawning_vm_group,\n CONF.vmware.bigvm_deployment_free_host_hostgroup_name,\n 'anti-affinity', rule)\n config_spec.rulesSpec = [rule_spec]\n\n cluster_util.reconfigure_cluster(self._session, self._cluster,\n config_spec)\n else:\n if len(group.host) > 1:\n LOG.warning('Found more than 1 host in spawning hostgroup.')\n host_ref = group.host[0]\n\n # check if the host is still suitable\n if vutil.get_moref_value(host_ref) in failover_hosts:\n LOG.warning('Host destined for spawning became a failover '\n 'host.')\n return FREE_HOST_STATE_ERROR\n\n runtime_summary = self._session._call_method(\n vutil, \"get_object_property\", host_ref, 'summary.runtime')\n if (runtime_summary.inMaintenanceMode is True or\n runtime_summary.connectionState != \"connected\"):\n LOG.warning('Host destined for spawning was set to '\n 'maintenance or became disconnected.')\n return FREE_HOST_STATE_ERROR\n\n # filter the VMs on the host, so we don't look at the non-movable\n # DRS-created and -owned VMs\n vcls_identifier = (constants.VCLS_EXTENSION_KEY,\n constants.VCLS_EXTENSION_TYPE_AGENT)\n vms_on_host = [\n (u, state, ref)\n for u, h, state, m, ref in self._get_vms_on_host(host_ref)\n if not m or (m.extensionKey, m.type) != vcls_identifier]\n\n # ignore partiallyAutomated VMs. They should not be big VMs as we chose\n # a host appropriately, so they should be large VMs, which we tolerate\n # next to a big VM as they get moved by the nanny\n drs_overrides = cluster_util.fetch_cluster_drs_vm_overrides(\n self._session, cluster_config=cluster_config)\n wanted_drs_override_behaviors = (\n constants.DRS_BEHAVIOR_PARTIALLY_AUTOMATED,)\n vms_on_host = [\n (u, state) for u, state, ref in vms_on_host\n if drs_overrides.get(ref) not in wanted_drs_override_behaviors]\n\n # check if there are running VMs on that host\n vms_on_host = [u for u, state in vms_on_host\n if state != 'poweredOff']\n if vms_on_host:\n # check if DRS is enabled, so freeing up can work\n if cluster_config.drsConfig.defaultVmBehavior != \\\n constants.DRS_BEHAVIOR_FULLY_AUTOMATED:\n LOG.error('DRS set to %(actual)s, expected %(expected)s.',\n {'actual': cluster_config.drsConfig.defaultVmBehavior,\n 'expected': constants.DRS_BEHAVIOR_FULLY_AUTOMATED})\n return FREE_HOST_STATE_ERROR\n\n LOG.debug('Freeing up %(host)s for spawning in progress.',\n {'host': vutil.get_moref_value(host_ref)})\n return FREE_HOST_STATE_STARTED\n\n LOG.info('Done freeing up %(host)s for spawning.',\n {'host': vutil.get_moref_value(host_ref)})\n return FREE_HOST_STATE_DONE","def cmd_disable(self, app_name=None):\n rc = self.socket_command_with_project('disable', app_name)\n return rc","def set_management_https(enabled=True, deploy=False):\n\n if enabled is True:\n value = \"no\"\n elif enabled is False:\n value = \"yes\"\n else:\n raise CommandExecutionError(\n \"Invalid option provided for service enabled option.\"\n )\n\n ret = {}\n\n query = {\n \"type\": \"config\",\n \"action\": \"set\",\n \"xpath\": \"/config/devices/entry[@name='localhost.localdomain']/deviceconfig/system/service\",\n \"element\": \"<disable-https>{}</disable-https>\".format(value),\n }\n\n ret.update(__proxy__[\"panos.call\"](query))\n\n if deploy is True:\n ret.update(commit())\n\n return ret","def disable():\n configdb = ConfigDBConnector()\n configdb.connect()\n fc_info = {}\n fc_info['FLEX_COUNTER_STATUS'] = 'disable'\n configdb.mod_entry(\"FLEX_COUNTER_TABLE\", \"QUEUE_WATERMARK\", fc_info)\n configdb.mod_entry(\"FLEX_COUNTER_TABLE\", \"PG_WATERMARK\", fc_info)\n configdb.mod_entry(\"FLEX_COUNTER_TABLE\", BUFFER_POOL_WATERMARK, fc_info)","def is_disable_apic(self):\n\t\treturn bool(call_sdk_function('PrlVmCfg_IsDisableAPIC', self.handle))","def disable(self):","def disable(self):\n self.registrar.unregister_service(\"say\", namespace=__name__)","def _stoppedComputePartition(self, compute_node_id, compute_partition_id):\n instance = self._getSoftwareInstanceForComputePartition(\n compute_node_id,\n compute_partition_id)\n instance.setAccessStatus(\n 'Instance correctly stopped', \"stopped\", reindex=1)","def syslog_remote_disable(handle, name):\n\n mo = handle.query_dn(\"sys/svc-ext/syslog/client-\" + name)\n if mo:\n mo.admin_state = \"disabled\"\n handle.add_mo(mo, modify_present=True)\n handle.commit()\n else:\n raise ValueError(\"Syslog Mo is not available.\")","def disable():\n configdb = ConfigDBConnector()\n configdb.connect()\n port_info = {}\n port_info['FLEX_COUNTER_STATUS'] = DISABLE\n configdb.mod_entry(\"FLEX_COUNTER_TABLE\", PORT_BUFFER_DROP, port_info)","def disable(self):\n self.error_code = 'DISABLED'\n self.running = False","def disable_windows_updates():\n indent=2\n width=52\n update_folders = [\n r'{WINDIR}\\SoftwareDistribution'.format(**global_vars['Env']),\n r'{SYSTEMDRIVE}\\$WINDOWS.~BT'.format(**global_vars['Env']),\n ]\n\n for service in ('wuauserv', 'bits'):\n # Stop service\n result = try_and_print(\n 'Stopping service {}...'.format(service),\n indent=indent, width=width,\n function=stop_service, service_name=service)\n if not result['CS']:\n result = try_and_print(\n 'Stopping service {}...'.format(service),\n indent=indent, width=width,\n function=stop_service, service_name=service)\n if not result['CS']:\n raise GenericError('Service {} could not be stopped.'.format(service))\n\n # Disable service\n result = try_and_print(\n 'Disabling service {}...'.format(service),\n indent=indent, width=width,\n function=disable_service, service_name=service)\n if not result['CS']:\n result = try_and_print(\n 'Disabling service {}...'.format(service),\n indent=indent, width=width,\n function=disable_service, service_name=service)\n if not result['CS']:\n raise GenericError('Service {} could not be disabled.'.format(service))\n\n # Delete update folders\n for folder_path in update_folders:\n if os.path.exists(folder_path):\n result = try_and_print(\n 'Deleting folder {}...'.format(folder_path),\n indent=indent, width=width,\n function=delete_folder, folder_path=folder_path)\n if not result['CS']:\n raise GenericError('Failed to remove folder {}'.format(folder_path))","def port_disable(self, port_num: int) -> None:\n raise NotImplementedError","def remove_auth_backend():\n\n headers = {\"X-Vault-Token\": args.x_vault_token}\n url = \"{0}/sys/auth/{1}\".format(args.vault_url, args.k8s_cluster_name)\n print 'Disabling auth backend for cluster {0}'.format(args.k8s_cluster_name)\n send_delete(url=url, headers=headers)","def _create_compute_service(self, **kwargs):\n\n dic = {'binary': 'nova-compute', 'topic': 'compute',\n 'report_count': 0, 'availability_zone': 'dummyzone'}\n dic['host'] = kwargs.get('host', 'dummy')\n s_ref = db.service_create(self.context, dic)\n if 'created_at' in kwargs.keys() or 'updated_at' in kwargs.keys():\n t = utils.utcnow() - datetime.timedelta(0)\n dic['created_at'] = kwargs.get('created_at', t)\n dic['updated_at'] = kwargs.get('updated_at', t)\n db.service_update(self.context, s_ref['id'], dic)\n\n dic = {'service_id': s_ref['id'],\n 'vcpus': 16, 'memory_mb': 32, 'local_gb': 100,\n 'vcpus_used': 16, 'local_gb_used': 10,\n 'hypervisor_type': 'qemu', 'hypervisor_version': 12003,\n 'cpu_info': ''}\n dic['memory_mb_used'] = kwargs.get('memory_mb_used', 32)\n dic['hypervisor_type'] = kwargs.get('hypervisor_type', 'qemu')\n dic['hypervisor_version'] = kwargs.get('hypervisor_version', 12003)\n db.compute_node_create(self.context, dic)\n return db.service_get(self.context, s_ref['id'])","def stop_service(hosts, remove_db=True):\n username = config.get_param('ENDPOINT_USERNAME')\n password = config.get_param('ENDPOINT_PASSWORD')\n args = [(host, (host, username, password, remove_db), {})\n for host in hosts]\n\n ThreadPool(cleanup_node, args)","def enable_scheduling(topo, change_number=None):\n succeeded = []\n failed = []\n error = None\n if not topo:\n return succeeded, failed, \\\n 'Attempted re-enable hypervisors for scheduling without ' \\\n 'providing a valid topology. Bailing out. Fix it!'\n\n # Get a list of all compute services for this cloud\n config = topo.render('os_client_config')\n cloud_config = config.get_one_cloud(cloud=topo.cloud.canonical_name)\n cloud = shade.OpenStackCloud(cloud_config=cloud_config)\n nova_client = cloud.nova_client\n services = nova_client.services.list(binary=\"nova-compute\")\n\n # Find all disabled hosts that have our change_number text\n matched_services = []\n for service in services:\n if service.status == 'disabled' and service.disabled_reason and \\\n change_number in service.disabled_reason:\n matched_services.append(service)\n if not matched_services:\n return succeeded, failed, \\\n 'Did not find any disabled HVs to re-enable. skipping.'\n\n # Re-enable the services.\n for service in matched_services:\n try:\n nova_client.services.enable(service.host, 'nova-compute')\n succeeded.append(service.host)\n except Exception as ex:\n error = ex.message\n failed.append(service.host)\n\n return succeeded, failed, error","def unconfigure_global_dual_active_recovery_reload_disable(device):\n # build a list of commands to send\n # Add stackwise-virtual as first element in the list\n # Enables dual-active recovery-reload\n command_list = ['stackwise-virtual']\n command_list.append(f'no dual-active recovery-reload-disable')\n try:\n output = device.configure(command_list)\n except SubCommandFailure:\n raise SubCommandFailure('Failed to Disable global stackwise-virtual dual-active recovery-reload')\n return output","def disableTaskControls():\n globs.CONTROLLER.resbtn.setDisabled(True)\n globs.CONTROLLER.fixbtn.setDisabled(True)","def _vm_disable_sync(zx, vm, log=None):\n log = log or zx.log\n hostid = zx.host_info(vm).get('hostid', None)\n\n if hostid: # zabbix_sync is disabled, but was previously enabled => delete host from zabbix\n log(INFO, 'Zabbix synchronization switched to disabled for VM %s', vm)\n log(WARNING, 'Deleting Zabbix host ID \"%s\" for VM %s', hostid, vm)\n\n if zx.delete_host(hostid, log=log):\n log(INFO, 'Deleted Zabbix host ID \"%s\"', hostid)\n zx.save_host_info(vm, host={}, log=log) # TODO: check this, changed from: zx.host_save(vm, {})\n return True\n else:\n log(ERROR, 'Could not delete Zabbix host ID \"%s\"', hostid)\n return False\n else:\n log(INFO, 'Zabbix synchronization disabled for VM %s', vm)\n return None","def network_settings():\n for host in online_hosts:\n with settings(warn_only=True):\n\n result1 = sudo(\"racadm5 -r \"+host+\" -u root -p \"+PASSWORD+\" config -g cfgLanNetworking -o cfgDNSDomainName <Domain Name>\")\n if result1.failed:\n logging.error(\"Host: [ \"+host+\" ] : \" + \"Configuration for DNSDomainName failed \")\n\n result2 = sudo(\"racadm5 -r \"+host+\" -u root -p \"+PASSWORD+\" config -g cfgLanNetworking -o cfgDNSServer1 \"+colo_dns[DEFAULT_COLO ][0])\n if result2.failed:\n logging.error(\"Host: [ \"+host+\" ] : \" + \"Configuration for DNSServer1 failed \")\n\n result3 = sudo(\"racadm5 -r \"+host+\" -u root -p \"+PASSWORD+\" config -g cfgLanNetworking -o cfgDNSServer2 \"+colo_dns[DEFAULT_COLO ][1])\n if result3.failed:\n logging.error(\"Host: [ \"+host+\" ] : \" + \"Configuration for DNSServer2 failed \")","def stopEngines():\n pass","def add_delete_compute_cinder_ceph_ephemeral(self):\n\n self.env.revert_snapshot('ready_with_9_slaves')\n\n self.show_step(1, initialize=True)\n data = {\n 'volumes_lvm': True,\n 'volumes_ceph': False,\n 'images_ceph': True,\n 'ephemeral_ceph': True,\n 'osd_pool_size': '2',\n 'tenant': 'scalegroup6',\n 'user': 'scalegroup6',\n 'password': 'scalegroup6'\n }\n\n cluster_id = self.fuel_web.create_cluster(\n name=self.__class__.__name__,\n settings=data\n )\n self.fuel_web.update_nodes(\n cluster_id,\n {\n 'slave-01': ['controller'],\n 'slave-02': ['controller'],\n 'slave-03': ['controller'],\n 'slave-04': ['compute'],\n 'slave-05': ['ceph-osd', 'cinder'],\n 'slave-06': ['ceph-osd', 'cinder']\n }\n )\n\n self.fuel_web.deploy_cluster_wait(cluster_id)\n\n self.show_step(2)\n self.fuel_web.verify_network(cluster_id)\n\n self.show_step(3)\n self.fuel_web.run_ostf(cluster_id)\n\n self.show_step(4)\n self.fuel_web.update_nodes(\n cluster_id,\n {\n 'slave-07': ['ceph-osd', 'cinder']\n }\n )\n self.fuel_web.deploy_cluster_wait(cluster_id)\n\n self.show_step(5)\n self.fuel_web.verify_network(cluster_id)\n\n self.show_step(6)\n self.fuel_web.run_ostf(cluster_id)\n\n self.show_step(7)\n self.fuel_web.update_nodes(\n cluster_id,\n {\n 'slave-08': ['ceph-osd', 'cinder']\n }\n )\n with self.fuel_web.get_ssh_for_node('slave-05') as remote_ceph:\n self.fuel_web.prepare_ceph_to_delete(remote_ceph)\n self.fuel_web.update_nodes(\n cluster_id,\n {\n 'slave-05': ['ceph-osd', 'cinder']\n },\n pending_addition=False,\n pending_deletion=True\n )\n\n self.show_step(8)\n self.fuel_web.deploy_cluster_wait(cluster_id)\n\n self.show_step(9)\n self.fuel_web.verify_network(cluster_id)\n\n self.show_step(10)\n self.fuel_web.run_ostf(cluster_id)\n\n self.show_step(11)\n with self.fuel_web.get_ssh_for_node('slave-08') as remote_ceph:\n self.fuel_web.prepare_ceph_to_delete(remote_ceph)\n self.fuel_web.update_nodes(\n cluster_id,\n {\n 'slave-08': ['ceph-osd', 'cinder']\n },\n pending_addition=False,\n pending_deletion=True\n )\n self.show_step(12)\n self.fuel_web.deploy_cluster_wait(cluster_id)\n\n self.show_step(13)\n self.fuel_web.verify_network(cluster_id)\n\n self.show_step(14)\n self.fuel_web.run_ostf(cluster_id)\n self.env.make_snapshot(\"add_delete_compute_cinder_ceph_ephemeral\")","async def disable_paging(self):\n\n # Display info message\n log.info(\"disable_paging\")\n\n # Send command to the device to disable paging\n await self.send_command(self.cmd_disable_paging)","def disable(self):\n pass","def x10_all_lights_off(service):\n housecode = service.data.get(SRV_HOUSECODE)\n insteon_modem.x10_all_lights_off(housecode)","def _disable_wifi_ap(self):\n call(['systemctl', 'disable', 'hostapd', ])\n call(['systemctl', 'disable', 'dnsmasq', ])\n\n context = self._get_ap_context()\n self._write_system_template('/etc/network/interfaces', 'interfaces.conf', context)\n self._write_system_template('/etc/dhcpcd.conf', 'dhcpcd.conf', context)","def tempest_ceph_services_tun(self):\n self.helper_ceph_services('tun')","def disable(self) -> Awaitable[Dict]:\n return self.client.send(\"Security.disable\", {})","def disable_auto_os_update(self):\n try:\n self.composite_logger.log(\"Disabling auto OS updates in all identified services...\")\n self.disable_auto_os_update_for_yum_cron()\n self.disable_auto_os_update_for_dnf_automatic()\n self.disable_auto_os_update_for_packagekit()\n self.composite_logger.log_debug(\"Successfully disabled auto OS updates\")\n\n except Exception as error:\n self.composite_logger.log_error(\"Could not disable auto OS updates. [Error={0}]\".format(repr(error)))\n raise","def __disable__(self) -> None:\n pass","def test_hugepage_service_state(Service):\n\n service = Service('disable-transparent-hugepages')\n\n assert service.is_enabled\n assert service.is_running","def _led_disable():\n # type: () -> None\n GPIO.output(LED_nOE, GPIO.HIGH)","def disable_custom_kernel():\n global _TF_ADDONS_PY_OPS\n _TF_ADDONS_PY_OPS = True","def setupCompute():\n #Update /etc/hosts with mongo-server and monitoring-server\n sudo(\"pip2 install chariot-runtime\")\n #update configuration file located in /etc/chariot/chariot.conf\n run(\"cd /etc/init.d && sudo update-rc.d chariot-nm defaults 99\")\n run(\"cd /etc/init.d && sudo update-rc.d chariot-dm defaults 99\")\n print(\"\\n after reboot check the MongoDB server for the presence of ConfigSpace database and Nodes collection. This collection should have a document each for every compute node.\")\n sudo(\"reboot\")","def disable(self):\n self.enabled = False"],"string":"[\n \"def nfvi_notify_compute_host_disabled(host_uuid, host_name, host_personality,\\n callback):\\n cmd_id = _compute_plugin.invoke_plugin('notify_host_disabled',\\n host_uuid, host_name,\\n host_personality,\\n callback=callback)\\n return cmd_id\",\n \"def check_if_host_disabled(self, host, binary='nova-compute'):\\n _service_id = self._find_service_id_by_host(host, binary)\\n if _service_id:\\n _ser = self._client.services.find(id=_service_id)\\n if _ser.status == u'enabled':\\n return False\\n elif _ser.status == u'disabled':\\n return True\\n else:\\n return False\",\n \"def test_doesnt_report_disabled_hosts_as_up2(self):\\n compute1 = self.start_service('compute', host='host1')\\n compute2 = self.start_service('compute', host='host2')\\n s1 = db.service_get_by_args(self.context, 'host1', 'nova-compute')\\n s2 = db.service_get_by_args(self.context, 'host2', 'nova-compute')\\n db.service_update(self.context, s1['id'], {'disabled': True})\\n db.service_update(self.context, s2['id'], {'disabled': True})\\n hosts = self.scheduler.driver.hosts_up(self.context, 'compute')\\n self.assertEqual(0, len(hosts))\\n compute1.kill()\\n compute2.kill()\",\n \"def test_doesnt_report_disabled_hosts_as_up_no_queue(self):\\n # NOTE(vish): constructing service without create method\\n # because we are going to use it without queue\\n compute1 = service.Service('host1',\\n 'nova-compute',\\n 'compute',\\n FLAGS.compute_manager)\\n compute1.start()\\n compute2 = service.Service('host2',\\n 'nova-compute',\\n 'compute',\\n FLAGS.compute_manager)\\n compute2.start()\\n s1 = db.service_get_by_args(self.context, 'host1', 'nova-compute')\\n s2 = db.service_get_by_args(self.context, 'host2', 'nova-compute')\\n db.service_update(self.context, s1['id'], {'disabled': True})\\n db.service_update(self.context, s2['id'], {'disabled': True})\\n hosts = self.scheduler.driver.hosts_up(self.context, 'compute')\\n self.assertEqual(0, len(hosts))\\n compute1.kill()\\n compute2.kill()\",\n \"def disable_scheduling(topo, hypervisors, change_number='Unknown',\\n task_number='Unknown', reason=None,\\n when_disabled=du.get_now()):\\n succeeded = []\\n failed = []\\n error = None\\n\\n # Sanity checks\\n if not hypervisors:\\n return succeeded, failed, \\\\\\n 'Attempted disable hypervisors for scheduling without ' \\\\\\n 'providing a collection of hypervisors to match. Skipping.'\\n if not topo:\\n return succeeded, failed, \\\\\\n 'Attempted disable hypervisor for scheduling without ' \\\\\\n 'providing a valid cloud topo. Skipping.'\\n\\n # Get a list of all compute services for this cloud\\n config = topo.render('os_client_config')\\n cloud_config = config.get_one_cloud(cloud=topo.cloud.canonical_name)\\n cloud = shade.OpenStackCloud(cloud_config=cloud_config)\\n nova_client = cloud.nova_client\\n services = nova_client.services.list(binary=\\\"nova-compute\\\")\\n\\n # Find common list between services and provided hvs (not already disabled)\\n hv_set = set(hypervisors)\\n matched_services = []\\n for service in services:\\n if service.host in hv_set and service.status == 'enabled':\\n matched_services.append(service)\\n if not matched_services:\\n return succeeded, failed, \\\\\\n 'Did not find any enabled HVs to disable. skipping.'\\n\\n # Disable the services.\\n reason = \\\"Disabled on %s via automation for change (%s), ctask(%s) \\\" \\\\\\n \\\"for reason: %s\\\" % (when_disabled.strftime('%Y-%m-%d'),\\n change_number, task_number,\\n reason or 'No reason provided')\\n for service in matched_services:\\n try:\\n nova_client.services.disable_log_reason(\\n service.host, 'nova-compute', reason=reason)\\n succeeded.append(service.host)\\n except Exception as ex:\\n LOG.exception('Exception while disabling host scheduling')\\n failed.append(service.host)\\n error = ex.message\\n\\n return succeeded, failed, error\",\n \"def nfvi_compute_plugin_disabled():\\n return (_compute_plugin is None)\",\n \"def disable(service_name: str, print_action: bool = True):\\n\\n if print_action:\\n print_log_status(3, f\\\"Disabling `{service_name}`\\\")\\n \\n run_command(f\\\"sudo systemctl disable {service_name}\\\")\",\n \"def disable_discovery(self):\",\n \"def _vm_disable_host(zx, vm, log=None):\\n log = log or zx.log\\n hostid = zx.get_hostid(vm, log=log)\\n\\n if not hostid:\\n log(ERROR, 'Zabbix host for VM %s does not exist!', vm)\\n return False\\n\\n log(WARNING, 'Setting Zabbix host ID \\\"%s\\\" status to unmonitored for VM %s', hostid, vm)\\n\\n if zx.update_host(hostid, log=log, status=zx.HOST_UNMONITORED):\\n log(INFO, 'Updated Zabbix host ID \\\"%s\\\" status to unmonitored', hostid)\\n zx.save_host_info(vm, log=log)\\n return True\\n else:\\n log(ERROR, 'Could not update Zabbix host ID \\\"%s\\\" status to unmonitored', hostid)\\n return False\",\n \"def test_no_adapter_opts_ignore_service_type(self):\\n self.oslo_config_dict['heat'] = None\\n self.assert_service_disabled(\\n 'orchestration',\\n \\\"Not in the list of requested service_types.\\\",\\n # 'orchestration' absent from this list\\n service_types=['compute'],\\n )\",\n \"def disabled(config):\\n disable(config)\\n reload_service('apache2')\",\n \"def test_reports_enabled_hosts_as_up_no_queue(self):\\n # NOTE(vish): constructing service without create method\\n # because we are going to use it without queue\\n compute1 = service.Service('host1',\\n 'nova-compute',\\n 'compute',\\n FLAGS.compute_manager)\\n compute1.start()\\n compute2 = service.Service('host2',\\n 'nova-compute',\\n 'compute',\\n FLAGS.compute_manager)\\n compute2.start()\\n hosts = self.scheduler.driver.hosts_up(self.context, 'compute')\\n self.assertEqual(2, len(hosts))\\n compute1.kill()\\n compute2.kill()\",\n \"def disable(ctx):\\n config_db = ConfigDBConnector()\\n config_db.connect()\\n config_db.mod_entry(\\\"NAT_GLOBAL\\\", \\\"Values\\\", {\\\"admin_mode\\\": \\\"disabled\\\"})\",\n \"def nfvi_enable_compute_host_services(host_uuid, host_name, host_personality,\\n callback):\\n cmd_id = _compute_plugin.invoke_plugin('enable_host_services',\\n host_uuid, host_name,\\n host_personality,\\n callback=callback)\\n return cmd_id\",\n \"def scp_disable(task):\\n cmd = \\\"no ip scp server enable\\\"\\n task.run(task=netmiko_send_config, config_commands=cmd)\\n task.run(task=netmiko_save_config)\\n c_print(f\\\"*** {task.host}: SCP has been disabled ***\\\")\",\n \"def disable():\\n request = dict(id='gbn')\\n _gbn_disable(request)\",\n \"def test_dontStartPrivilegedService(self):\\n ports = self._privilegedStartService(self.highPortNumber)\\n self.assertEqual(ports, [])\",\n \"def remove_compute(compute_targets):\\n for name, ct in compute_targets.items():\\n compute_targets[name].delete()\",\n \"def disable_server(self, server):\\n log.info(\\\"Disabling %s in netscaler\\\", server)\\n return self.post(\\\"server?action=disable\\\", {\\\"server\\\": {\\\"name\\\": server}}, content_type=self.content_type(\\\"server\\\"))\",\n \"def allOff():\\n # Get/set special slice IDs\\n root_xid = bwlimit.get_xid(\\\"root\\\")\\n default_xid = bwlimit.get_xid(\\\"default\\\")\\n kernelhtbs = gethtbs(root_xid, default_xid)\\n if len(kernelhtbs):\\n logger.log(\\\"bwmon: Disabling all running HTBs.\\\")\\n for htb in kernelhtbs.keys(): bwlimit.off(htb, dev = dev_default)\",\n \"def set_all_ports_admin_disabled(self):\\n pass\",\n \"def disable_everything(self):\\n zhinst.utils.disable_everything(self.daq, self.device_id)\\n self.log.info(\\\"Disabled everything.\\\")\",\n \"def disable_service(service_name):\\n run_program(['sc', 'config', service_name, 'start=', 'disabled'])\\n\\n # Verify service was disabled\\n start_type = get_service_start_type(service_name)\\n if not start_type.lower().startswith('disabled'):\\n raise GenericError('Failed to disable service {}'.format(service_name))\",\n \"def set_offline(rg = None):\\n if isinstance(rg, int):\\n rg = [rg]\\n elif rg is None:\\n rg = _cpu.get_online_cpus()\\n\\n for core in rg:\\n try:\\n _cpu.disable_cpu(core)\\n if _verbose:\\n print(f\\\"CPU {core} set offline.\\\")\\n except:\\n print(f\\\"ERROR: An exception occurred. Check if CPU {core} exists.\\\")\",\n \"def test_reports_enabled_hosts_as_up(self):\\n compute1 = self.start_service('compute', host='host1')\\n compute2 = self.start_service('compute', host='host2')\\n hosts = self.scheduler.driver.hosts_up(self.context, 'compute')\\n self.assertEqual(2, len(hosts))\\n compute1.kill()\\n compute2.kill()\",\n \"def vm_disable(self, vm, task_log=LOG):\\n result = []\\n izx_log = self.izx.get_log_fun(task_log)\\n ezx_log = self.ezx.get_log_fun(task_log)\\n\\n if vm.is_zabbix_sync_active():\\n result.append(self._vm_disable_host(self.izx, vm, log=izx_log))\\n else:\\n izx_log(INFO, 'Internal zabbix synchronization disabled for VM %s', vm)\\n result.append(None)\\n\\n if vm.is_external_zabbix_sync_active():\\n result.append(self._vm_disable_host(self.ezx, vm, log=ezx_log))\\n else:\\n ezx_log(INFO, 'External zabbix synchronization disabled for VM %s', vm)\\n result.append(None)\\n\\n return result\",\n \"def disable():\\n configdb = ConfigDBConnector()\\n configdb.connect()\\n port_info = {}\\n port_info['FLEX_COUNTER_STATUS'] = 'disable'\\n configdb.mod_entry(\\\"FLEX_COUNTER_TABLE\\\", \\\"PORT\\\", port_info)\",\n \"def cleanup_infrastructure_compute(config, context):\\n log.info(\\\"### Cleaning up infrastructure ###\\\")\\n admin = context.getAdministrationService()\\n for datacenter in admin.listDatacenters():\\n cleanup_infrastructure_storage(config, datacenter)\\n cleanup_infrastructure_network(config, datacenter)\\n # This will remove the datacenter and all hypervisors\\n # (if they don't contain deplopyed VMs)\\n log.info(\\\"Removing datacenter %s...\\\" % datacenter.getName())\\n datacenter.delete()\",\n \"def disable(self):\\n self._disable_monitor()\\n self._pinger.stop()\",\n \"def disable_service(self, **kwargs):\\n put_body = json.dumps(kwargs)\\n resp, body = self.put('os-services/disable', put_body)\\n body = json.loads(body)\\n self.validate_response(schema.disable_service, resp, body)\\n return rest_client.ResponseBody(resp, body)\",\n \"def stopStorageServices():\\n sudo('/etc/init.d/tomcat6 stop')\\n sudo('/etc/init.d/postgresql-8.4 stop')\",\n \"async def disable_protection(self) -> None:\\n await self._request(\\n \\\"dns_config\\\", method=\\\"POST\\\", json_data={\\\"protection_enabled\\\": False},\\n )\",\n \"def worker_disabled(name, workers=None, profile=\\\"default\\\"):\\n if workers is None:\\n workers = []\\n return _bulk_state(\\\"modjk.bulk_disable\\\", name, workers, profile)\",\n \"def firewallOff():\\n pass\",\n \"def set_management_http(enabled=True, deploy=False):\\n\\n if enabled is True:\\n value = \\\"no\\\"\\n elif enabled is False:\\n value = \\\"yes\\\"\\n else:\\n raise CommandExecutionError(\\n \\\"Invalid option provided for service enabled option.\\\"\\n )\\n\\n ret = {}\\n\\n query = {\\n \\\"type\\\": \\\"config\\\",\\n \\\"action\\\": \\\"set\\\",\\n \\\"xpath\\\": \\\"/config/devices/entry[@name='localhost.localdomain']/deviceconfig/system/service\\\",\\n \\\"element\\\": \\\"<disable-http>{}</disable-http>\\\".format(value),\\n }\\n\\n ret.update(__proxy__[\\\"panos.call\\\"](query))\\n\\n if deploy is True:\\n ret.update(commit())\\n\\n return ret\",\n \"def disable():\\n configdb = ConfigDBConnector()\\n configdb.connect()\\n tunnel_info = {}\\n tunnel_info['FLEX_COUNTER_STATUS'] = DISABLE\\n configdb.mod_entry(\\\"FLEX_COUNTER_TABLE\\\", \\\"TUNNEL\\\", tunnel_info)\",\n \"def wait_all_ports_admin_disabled(self):\\n pass\",\n \"def enable_disable_fault_injection(self, hosts, enable=True):\\n if enable:\\n result = run_pcmd(hosts, \\\"daos_debug_set_params -v 67174515\\\")\\n else:\\n result = run_pcmd(hosts, \\\"daos_debug_set_params -v 67108864\\\")\\n self.check_result(result)\",\n \"def autodisable_cloud(cloud):\\n log.warning(\\\"Autodisabling %s\\\", cloud)\\n cloud.ctl.disable()\\n title = \\\"Cloud %s has been automatically disabled\\\" % cloud.name\\n message = \\\"%s after multiple failures to connect to it.\\\" % title\\n notify_user(cloud.owner, title=title, message=message, email_notify=True)\",\n \"def set_management_ssh(enabled=True, deploy=False):\\n\\n if enabled is True:\\n value = \\\"no\\\"\\n elif enabled is False:\\n value = \\\"yes\\\"\\n else:\\n raise CommandExecutionError(\\n \\\"Invalid option provided for service enabled option.\\\"\\n )\\n\\n ret = {}\\n\\n query = {\\n \\\"type\\\": \\\"config\\\",\\n \\\"action\\\": \\\"set\\\",\\n \\\"xpath\\\": \\\"/config/devices/entry[@name='localhost.localdomain']/deviceconfig/system/service\\\",\\n \\\"element\\\": \\\"<disable-ssh>{}</disable-ssh>\\\".format(value),\\n }\\n\\n ret.update(__proxy__[\\\"panos.call\\\"](query))\\n\\n if deploy is True:\\n ret.update(commit())\\n\\n return ret\",\n \"def set_host_enabled(self, host, enabled):\\n if enabled:\\n return 'enabled'\\n return 'disabled'\",\n \"def set_host_enabled(self, host, enabled):\\n if enabled:\\n return 'enabled'\\n return 'disabled'\",\n \"def gc_disable():\\n raise NotImplementedError()\",\n \"def test_no_such_conf_section_ignore_service_type(self):\\n del self.oslo_config_dict['heat']\\n self.assert_service_disabled(\\n 'orchestration',\\n \\\"Not in the list of requested service_types.\\\",\\n # 'orchestration' absent from this list\\n service_types=['compute'],\\n )\",\n \"def no_ha(self, vlan_tag):\\n\\n if len(self.hostnames) == 1:\\n LOG.debug(\\\"Only one machine, doesn't need to configure HA\\\")\\n return True\\n\\n interface_name = self.in_interface\\n if vlan_tag:\\n interface_name = \\\"vlan.\\\" + vlan_tag\\n\\n cmd_apv_disable_cluster = ADCDevice.cluster_disable(interface_name)\\n cmd_apv_clear_cluster_config = ADCDevice.cluster_clear_virtual_interface(interface_name)\\n\\n for base_rest_url in self.base_rest_urls:\\n # disable the virtual cluster\\n self.run_cli_extend(base_rest_url, cmd_apv_disable_cluster)\\n\\n # clear the configuration of this virtual ifname\\n self.run_cli_extend(base_rest_url, cmd_apv_clear_cluster_config)\",\n \"def test_no_adapter_opts(self):\\n self.oslo_config_dict['heat'] = None\\n self.assert_service_disabled(\\n 'orchestration',\\n \\\"Encountered an exception attempting to process config for \\\"\\n \\\"project 'heat' (service type 'orchestration'): no such option\\\",\\n )\",\n \"def test_live_migration_src_check_compute_node_not_alive(self):\\n instance_id = self._create_instance()\\n i_ref = db.instance_get(self.context, instance_id)\\n t = utils.utcnow() - datetime.timedelta(10)\\n s_ref = self._create_compute_service(created_at=t, updated_at=t,\\n host=i_ref['host'])\\n\\n self.assertRaises(exception.ComputeServiceUnavailable,\\n self.scheduler.driver._live_migration_src_check,\\n self.context, i_ref)\\n\\n db.instance_destroy(self.context, instance_id)\\n db.service_destroy(self.context, s_ref['id'])\",\n \"def nfvi_notify_compute_host_enabled(host_uuid, host_name, host_personality,\\n callback):\\n cmd_id = _compute_plugin.invoke_plugin('notify_host_enabled',\\n host_uuid, host_name,\\n host_personality,\\n callback=callback)\\n return cmd_id\",\n \"def _doDisableRegulation(self):\\n self._cmdRegulOff()\",\n \"def disable(self):\\n\\n super().disable()\\n self._slo_image_size.disable()\\n self._slo_neural_network.disable()\\n self._slo_number_of_epochs.disable()\\n self._slo_examples_per_batch.disable()\",\n \"def disable(self) -> None:\",\n \"def disable_cloud_dataset(self):\\n self._boto3 = None\\n self._botocore = None\",\n \"def power_off_vm_hard(v_sphere, vmw_vm):\\n\\n task = vmw_vm.PowerOff()\\n task_functions.wait_for_task_complete(v_sphere, task, timeout_seconds=60)\",\n \"def power_off_soft(self, timeout_secs=None, async=False):\\n self.cluster().power_off_nodes_soft([self],\\n timeout_secs=timeout_secs,\\n async=async)\",\n \"def deregister_elastic_ip(ElasticIp=None):\\n pass\",\n \"def stop(self):\\n self.log.info(\\\"Stopping servers\\\")\\n if self.runner.job.yaml_params.is_nvme():\\n self.kill()\\n self.storage_reset()\\n # Make sure the mount directory belongs to non-root user\\n self.log.info(\\\"Changing ownership of mount to non-root user\\\")\\n cmd = \\\"sudo chown -R {0}:{0} /mnt/daos*\\\".format(getpass.getuser())\\n pcmd(self._hosts, cmd, False)\\n else:\\n try:\\n self.runner.stop()\\n except CommandFailure as error:\\n raise ServerFailed(\\\"Failed to stop servers:{}\\\".format(error))\",\n \"def disable_dhcp_helper(self, network_id):\\n network = self.cache.get_network_by_id(network_id)\\n if network:\\n if self.call_driver('disable', network):\\n self.cache.remove(network)\",\n \"def power_off(self):\\n for vm in self.vms:\\n try:\\n vm.name = \\\"%s_%s\\\" % (self.resource_pool, vm.name)\\n vm.power_off(manager=self.manager)\\n except:\\n self.logger.error(\\\"Error with VM '%s'\\\" % vm.name)\\n raise\",\n \"def set_chassis_cluster_disable(self):\\n return self.dev.rpc.set_chassis_cluster_disable(\\n reboot=True, normalize=True)\",\n \"def set_management_icmp(enabled=True, deploy=False):\\n\\n if enabled is True:\\n value = \\\"no\\\"\\n elif enabled is False:\\n value = \\\"yes\\\"\\n else:\\n raise CommandExecutionError(\\n \\\"Invalid option provided for service enabled option.\\\"\\n )\\n\\n ret = {}\\n\\n query = {\\n \\\"type\\\": \\\"config\\\",\\n \\\"action\\\": \\\"set\\\",\\n \\\"xpath\\\": \\\"/config/devices/entry[@name='localhost.localdomain']/deviceconfig/system/service\\\",\\n \\\"element\\\": \\\"<disable-icmp>{}</disable-icmp>\\\".format(value),\\n }\\n\\n ret.update(__proxy__[\\\"panos.call\\\"](query))\\n\\n if deploy is True:\\n ret.update(commit())\\n\\n return ret\",\n \"def disable():\\n ret = {}\\n result = __salt__[\\\"cmd.run_all\\\"](\\n \\\"pfctl -d\\\", output_loglevel=\\\"trace\\\", python_shell=False\\n )\\n\\n if result[\\\"retcode\\\"] == 0:\\n ret = {\\\"comment\\\": \\\"pf disabled\\\", \\\"changes\\\": True}\\n else:\\n # If pf was already disabled the return code is also non-zero.\\n # Don't raise an exception in that case.\\n if result[\\\"stderr\\\"] == \\\"pfctl: pf not enabled\\\":\\n ret = {\\\"comment\\\": \\\"pf already disabled\\\", \\\"changes\\\": False}\\n else:\\n raise CommandExecutionError(\\n \\\"Could not disable pf\\\",\\n info={\\\"errors\\\": [result[\\\"stderr\\\"]], \\\"changes\\\": False},\\n )\\n\\n return ret\",\n \"def test_no_endpoint_ignore_service_type(self):\\n self.assert_service_disabled(\\n 'monitoring',\\n \\\"Not in the list of requested service_types.\\\",\\n # 'monitoring' absent from this list\\n service_types={'compute', 'orchestration', 'bogus'},\\n )\",\n \"def deploy_common_services():\\n put('./minion/*', '/etc/systemd/system', use_sudo=True)\\n sudo('source /etc/environment')\\n sudo('/opt/bin/substitute_private_ipv4.sh /etc/systemd/system/flannel.service')\\n sudo('/opt/bin/substitute_private_ipv4.sh /etc/systemd/system/kubelet.service')\\n\\n sudo('systemctl enable /etc/systemd/system/flannel.service')\\n sudo('systemctl enable /etc/systemd/system/docker.service')\\n sudo('systemctl enable /etc/systemd/system/kube-proxy.service')\\n sudo('systemctl enable /etc/systemd/system/kubelet.service')\\n\\n sudo('systemctl daemon-reload')\\n\\n sudo('systemctl start flannel')\\n sudo('systemctl start docker')\\n sudo('systemctl start kube-proxy')\\n sudo('systemctl start kubelet')\",\n \"def _disable(self):\\n self.enabled = False\",\n \"def free_host(self, context):\\n cluster_config = self._session._call_method(\\n vutil, \\\"get_object_property\\\", self._cluster, \\\"configurationEx\\\")\\n\\n # get the group\\n group = self._get_group(cluster_config)\\n\\n failover_hosts = []\\n policy = cluster_config.dasConfig.admissionControlPolicy\\n if policy and hasattr(policy, 'failoverHosts'):\\n failover_hosts = set(vutil.get_moref_value(h)\\n for h in policy.failoverHosts)\\n\\n if group is None or not getattr(group, 'host', None):\\n # find a host to free\\n\\n # retrieve all hosts of the cluster\\n host_objs = {vutil.get_moref_value(h): h\\n for h in self._get_hosts_in_cluster(self._cluster)}\\n vms_per_host = {h: [] for h in host_objs}\\n\\n # get all the vms in a cluster, because we need to find a host\\n # without big VMs.\\n props = ['config.hardware.memoryMB', 'runtime.host',\\n 'runtime.powerState',\\n 'summary.quickStats.hostMemoryUsage']\\n cluster_vms = self._vmops._list_instances_in_cluster(props)\\n\\n for vm_uuid, vm_props in cluster_vms:\\n props = (vm_props.get('config.hardware.memoryMB', 0),\\n vm_props.get('runtime.powerState', 'poweredOff'),\\n vm_props.get('summary.quickStats.hostMemoryUsage', 0))\\n # every host_obj is differnt, even though the value, which\\n # really matters, is the same\\n host_obj = vm_props.get('runtime.host')\\n if not host_obj:\\n continue\\n\\n host = vutil.get_moref_value(host_obj)\\n vms_per_host.setdefault(host, []). \\\\\\n append(props)\\n\\n # filter for hosts without big VMs\\n vms_per_host = {h: vms for h, vms in vms_per_host.items()\\n if all(mem < CONF.largevm_mb\\n for mem, state, used_mem in vms)}\\n\\n if not vms_per_host:\\n LOG.warning('No suitable host found for freeing a host for '\\n 'spawning (bigvm filter).')\\n return FREE_HOST_STATE_ERROR\\n\\n # filter hosts which are failover hosts\\n vms_per_host = {h: vms for h, vms in vms_per_host.items()\\n if h not in failover_hosts}\\n\\n if not vms_per_host:\\n LOG.warning('No suitable host found for freeing a host for '\\n 'spawning (failover host filter).')\\n return FREE_HOST_STATE_ERROR\\n\\n # filter hosts which are in a wrong state\\n result = self._session._call_method(vim_util,\\n \\\"get_properties_for_a_collection_of_objects\\\",\\n \\\"HostSystem\\\",\\n [host_objs[h] for h in vms_per_host],\\n ['summary.runtime'])\\n host_states = {}\\n with vutil.WithRetrieval(self._session.vim, result) as objects:\\n for obj in objects:\\n host_props = propset_dict(obj.propSet)\\n runtime_summary = host_props['summary.runtime']\\n moref_value = vutil.get_moref_value(obj.obj)\\n host_states[moref_value] = (\\n runtime_summary.inMaintenanceMode is False and\\n runtime_summary.connectionState == \\\"connected\\\")\\n\\n vms_per_host = {h: vms for h, vms in vms_per_host.items()\\n if host_states[h]}\\n\\n if not vms_per_host:\\n LOG.warning('No suitable host found for freeing a host for '\\n 'spawning (host state filter).')\\n return FREE_HOST_STATE_ERROR\\n\\n mem_per_host = {h: sum(used_mem for mem, state, used_mem in vms)\\n for h, vms in vms_per_host.items()}\\n\\n # take the one with least memory used\\n host, _ = sorted(mem_per_host.items(), key=itemgetter(1))[0]\\n host_ref = host_objs[host]\\n\\n client_factory = self._session.vim.client.factory\\n config_spec = client_factory.create('ns0:ClusterConfigSpecEx')\\n\\n # we need to either create the group from scratch or at least add a\\n # host to it\\n operation = 'add' if group is None else 'edit'\\n group = cluster_util.create_host_group(client_factory,\\n CONF.vmware.bigvm_deployment_free_host_hostgroup_name,\\n [host_ref], group)\\n group_spec = cluster_util.create_group_spec(client_factory,\\n group, operation)\\n config_spec.groupSpec = [group_spec]\\n\\n # create the appropriate rule for VMs to leave the host\\n rule_name = '{}_anti-affinity'.format(\\n CONF.vmware.bigvm_deployment_free_host_hostgroup_name)\\n rule = cluster_util._get_rule(cluster_config, rule_name)\\n rule_spec = cluster_util._create_cluster_group_rules_spec(\\n client_factory, rule_name,\\n CONF.vmware.special_spawning_vm_group,\\n CONF.vmware.bigvm_deployment_free_host_hostgroup_name,\\n 'anti-affinity', rule)\\n config_spec.rulesSpec = [rule_spec]\\n\\n cluster_util.reconfigure_cluster(self._session, self._cluster,\\n config_spec)\\n else:\\n if len(group.host) > 1:\\n LOG.warning('Found more than 1 host in spawning hostgroup.')\\n host_ref = group.host[0]\\n\\n # check if the host is still suitable\\n if vutil.get_moref_value(host_ref) in failover_hosts:\\n LOG.warning('Host destined for spawning became a failover '\\n 'host.')\\n return FREE_HOST_STATE_ERROR\\n\\n runtime_summary = self._session._call_method(\\n vutil, \\\"get_object_property\\\", host_ref, 'summary.runtime')\\n if (runtime_summary.inMaintenanceMode is True or\\n runtime_summary.connectionState != \\\"connected\\\"):\\n LOG.warning('Host destined for spawning was set to '\\n 'maintenance or became disconnected.')\\n return FREE_HOST_STATE_ERROR\\n\\n # filter the VMs on the host, so we don't look at the non-movable\\n # DRS-created and -owned VMs\\n vcls_identifier = (constants.VCLS_EXTENSION_KEY,\\n constants.VCLS_EXTENSION_TYPE_AGENT)\\n vms_on_host = [\\n (u, state, ref)\\n for u, h, state, m, ref in self._get_vms_on_host(host_ref)\\n if not m or (m.extensionKey, m.type) != vcls_identifier]\\n\\n # ignore partiallyAutomated VMs. They should not be big VMs as we chose\\n # a host appropriately, so they should be large VMs, which we tolerate\\n # next to a big VM as they get moved by the nanny\\n drs_overrides = cluster_util.fetch_cluster_drs_vm_overrides(\\n self._session, cluster_config=cluster_config)\\n wanted_drs_override_behaviors = (\\n constants.DRS_BEHAVIOR_PARTIALLY_AUTOMATED,)\\n vms_on_host = [\\n (u, state) for u, state, ref in vms_on_host\\n if drs_overrides.get(ref) not in wanted_drs_override_behaviors]\\n\\n # check if there are running VMs on that host\\n vms_on_host = [u for u, state in vms_on_host\\n if state != 'poweredOff']\\n if vms_on_host:\\n # check if DRS is enabled, so freeing up can work\\n if cluster_config.drsConfig.defaultVmBehavior != \\\\\\n constants.DRS_BEHAVIOR_FULLY_AUTOMATED:\\n LOG.error('DRS set to %(actual)s, expected %(expected)s.',\\n {'actual': cluster_config.drsConfig.defaultVmBehavior,\\n 'expected': constants.DRS_BEHAVIOR_FULLY_AUTOMATED})\\n return FREE_HOST_STATE_ERROR\\n\\n LOG.debug('Freeing up %(host)s for spawning in progress.',\\n {'host': vutil.get_moref_value(host_ref)})\\n return FREE_HOST_STATE_STARTED\\n\\n LOG.info('Done freeing up %(host)s for spawning.',\\n {'host': vutil.get_moref_value(host_ref)})\\n return FREE_HOST_STATE_DONE\",\n \"def cmd_disable(self, app_name=None):\\n rc = self.socket_command_with_project('disable', app_name)\\n return rc\",\n \"def set_management_https(enabled=True, deploy=False):\\n\\n if enabled is True:\\n value = \\\"no\\\"\\n elif enabled is False:\\n value = \\\"yes\\\"\\n else:\\n raise CommandExecutionError(\\n \\\"Invalid option provided for service enabled option.\\\"\\n )\\n\\n ret = {}\\n\\n query = {\\n \\\"type\\\": \\\"config\\\",\\n \\\"action\\\": \\\"set\\\",\\n \\\"xpath\\\": \\\"/config/devices/entry[@name='localhost.localdomain']/deviceconfig/system/service\\\",\\n \\\"element\\\": \\\"<disable-https>{}</disable-https>\\\".format(value),\\n }\\n\\n ret.update(__proxy__[\\\"panos.call\\\"](query))\\n\\n if deploy is True:\\n ret.update(commit())\\n\\n return ret\",\n \"def disable():\\n configdb = ConfigDBConnector()\\n configdb.connect()\\n fc_info = {}\\n fc_info['FLEX_COUNTER_STATUS'] = 'disable'\\n configdb.mod_entry(\\\"FLEX_COUNTER_TABLE\\\", \\\"QUEUE_WATERMARK\\\", fc_info)\\n configdb.mod_entry(\\\"FLEX_COUNTER_TABLE\\\", \\\"PG_WATERMARK\\\", fc_info)\\n configdb.mod_entry(\\\"FLEX_COUNTER_TABLE\\\", BUFFER_POOL_WATERMARK, fc_info)\",\n \"def is_disable_apic(self):\\n\\t\\treturn bool(call_sdk_function('PrlVmCfg_IsDisableAPIC', self.handle))\",\n \"def disable(self):\",\n \"def disable(self):\\n self.registrar.unregister_service(\\\"say\\\", namespace=__name__)\",\n \"def _stoppedComputePartition(self, compute_node_id, compute_partition_id):\\n instance = self._getSoftwareInstanceForComputePartition(\\n compute_node_id,\\n compute_partition_id)\\n instance.setAccessStatus(\\n 'Instance correctly stopped', \\\"stopped\\\", reindex=1)\",\n \"def syslog_remote_disable(handle, name):\\n\\n mo = handle.query_dn(\\\"sys/svc-ext/syslog/client-\\\" + name)\\n if mo:\\n mo.admin_state = \\\"disabled\\\"\\n handle.add_mo(mo, modify_present=True)\\n handle.commit()\\n else:\\n raise ValueError(\\\"Syslog Mo is not available.\\\")\",\n \"def disable():\\n configdb = ConfigDBConnector()\\n configdb.connect()\\n port_info = {}\\n port_info['FLEX_COUNTER_STATUS'] = DISABLE\\n configdb.mod_entry(\\\"FLEX_COUNTER_TABLE\\\", PORT_BUFFER_DROP, port_info)\",\n \"def disable(self):\\n self.error_code = 'DISABLED'\\n self.running = False\",\n \"def disable_windows_updates():\\n indent=2\\n width=52\\n update_folders = [\\n r'{WINDIR}\\\\SoftwareDistribution'.format(**global_vars['Env']),\\n r'{SYSTEMDRIVE}\\\\$WINDOWS.~BT'.format(**global_vars['Env']),\\n ]\\n\\n for service in ('wuauserv', 'bits'):\\n # Stop service\\n result = try_and_print(\\n 'Stopping service {}...'.format(service),\\n indent=indent, width=width,\\n function=stop_service, service_name=service)\\n if not result['CS']:\\n result = try_and_print(\\n 'Stopping service {}...'.format(service),\\n indent=indent, width=width,\\n function=stop_service, service_name=service)\\n if not result['CS']:\\n raise GenericError('Service {} could not be stopped.'.format(service))\\n\\n # Disable service\\n result = try_and_print(\\n 'Disabling service {}...'.format(service),\\n indent=indent, width=width,\\n function=disable_service, service_name=service)\\n if not result['CS']:\\n result = try_and_print(\\n 'Disabling service {}...'.format(service),\\n indent=indent, width=width,\\n function=disable_service, service_name=service)\\n if not result['CS']:\\n raise GenericError('Service {} could not be disabled.'.format(service))\\n\\n # Delete update folders\\n for folder_path in update_folders:\\n if os.path.exists(folder_path):\\n result = try_and_print(\\n 'Deleting folder {}...'.format(folder_path),\\n indent=indent, width=width,\\n function=delete_folder, folder_path=folder_path)\\n if not result['CS']:\\n raise GenericError('Failed to remove folder {}'.format(folder_path))\",\n \"def port_disable(self, port_num: int) -> None:\\n raise NotImplementedError\",\n \"def remove_auth_backend():\\n\\n headers = {\\\"X-Vault-Token\\\": args.x_vault_token}\\n url = \\\"{0}/sys/auth/{1}\\\".format(args.vault_url, args.k8s_cluster_name)\\n print 'Disabling auth backend for cluster {0}'.format(args.k8s_cluster_name)\\n send_delete(url=url, headers=headers)\",\n \"def _create_compute_service(self, **kwargs):\\n\\n dic = {'binary': 'nova-compute', 'topic': 'compute',\\n 'report_count': 0, 'availability_zone': 'dummyzone'}\\n dic['host'] = kwargs.get('host', 'dummy')\\n s_ref = db.service_create(self.context, dic)\\n if 'created_at' in kwargs.keys() or 'updated_at' in kwargs.keys():\\n t = utils.utcnow() - datetime.timedelta(0)\\n dic['created_at'] = kwargs.get('created_at', t)\\n dic['updated_at'] = kwargs.get('updated_at', t)\\n db.service_update(self.context, s_ref['id'], dic)\\n\\n dic = {'service_id': s_ref['id'],\\n 'vcpus': 16, 'memory_mb': 32, 'local_gb': 100,\\n 'vcpus_used': 16, 'local_gb_used': 10,\\n 'hypervisor_type': 'qemu', 'hypervisor_version': 12003,\\n 'cpu_info': ''}\\n dic['memory_mb_used'] = kwargs.get('memory_mb_used', 32)\\n dic['hypervisor_type'] = kwargs.get('hypervisor_type', 'qemu')\\n dic['hypervisor_version'] = kwargs.get('hypervisor_version', 12003)\\n db.compute_node_create(self.context, dic)\\n return db.service_get(self.context, s_ref['id'])\",\n \"def stop_service(hosts, remove_db=True):\\n username = config.get_param('ENDPOINT_USERNAME')\\n password = config.get_param('ENDPOINT_PASSWORD')\\n args = [(host, (host, username, password, remove_db), {})\\n for host in hosts]\\n\\n ThreadPool(cleanup_node, args)\",\n \"def enable_scheduling(topo, change_number=None):\\n succeeded = []\\n failed = []\\n error = None\\n if not topo:\\n return succeeded, failed, \\\\\\n 'Attempted re-enable hypervisors for scheduling without ' \\\\\\n 'providing a valid topology. Bailing out. Fix it!'\\n\\n # Get a list of all compute services for this cloud\\n config = topo.render('os_client_config')\\n cloud_config = config.get_one_cloud(cloud=topo.cloud.canonical_name)\\n cloud = shade.OpenStackCloud(cloud_config=cloud_config)\\n nova_client = cloud.nova_client\\n services = nova_client.services.list(binary=\\\"nova-compute\\\")\\n\\n # Find all disabled hosts that have our change_number text\\n matched_services = []\\n for service in services:\\n if service.status == 'disabled' and service.disabled_reason and \\\\\\n change_number in service.disabled_reason:\\n matched_services.append(service)\\n if not matched_services:\\n return succeeded, failed, \\\\\\n 'Did not find any disabled HVs to re-enable. skipping.'\\n\\n # Re-enable the services.\\n for service in matched_services:\\n try:\\n nova_client.services.enable(service.host, 'nova-compute')\\n succeeded.append(service.host)\\n except Exception as ex:\\n error = ex.message\\n failed.append(service.host)\\n\\n return succeeded, failed, error\",\n \"def unconfigure_global_dual_active_recovery_reload_disable(device):\\n # build a list of commands to send\\n # Add stackwise-virtual as first element in the list\\n # Enables dual-active recovery-reload\\n command_list = ['stackwise-virtual']\\n command_list.append(f'no dual-active recovery-reload-disable')\\n try:\\n output = device.configure(command_list)\\n except SubCommandFailure:\\n raise SubCommandFailure('Failed to Disable global stackwise-virtual dual-active recovery-reload')\\n return output\",\n \"def disableTaskControls():\\n globs.CONTROLLER.resbtn.setDisabled(True)\\n globs.CONTROLLER.fixbtn.setDisabled(True)\",\n \"def _vm_disable_sync(zx, vm, log=None):\\n log = log or zx.log\\n hostid = zx.host_info(vm).get('hostid', None)\\n\\n if hostid: # zabbix_sync is disabled, but was previously enabled => delete host from zabbix\\n log(INFO, 'Zabbix synchronization switched to disabled for VM %s', vm)\\n log(WARNING, 'Deleting Zabbix host ID \\\"%s\\\" for VM %s', hostid, vm)\\n\\n if zx.delete_host(hostid, log=log):\\n log(INFO, 'Deleted Zabbix host ID \\\"%s\\\"', hostid)\\n zx.save_host_info(vm, host={}, log=log) # TODO: check this, changed from: zx.host_save(vm, {})\\n return True\\n else:\\n log(ERROR, 'Could not delete Zabbix host ID \\\"%s\\\"', hostid)\\n return False\\n else:\\n log(INFO, 'Zabbix synchronization disabled for VM %s', vm)\\n return None\",\n \"def network_settings():\\n for host in online_hosts:\\n with settings(warn_only=True):\\n\\n result1 = sudo(\\\"racadm5 -r \\\"+host+\\\" -u root -p \\\"+PASSWORD+\\\" config -g cfgLanNetworking -o cfgDNSDomainName <Domain Name>\\\")\\n if result1.failed:\\n logging.error(\\\"Host: [ \\\"+host+\\\" ] : \\\" + \\\"Configuration for DNSDomainName failed \\\")\\n\\n result2 = sudo(\\\"racadm5 -r \\\"+host+\\\" -u root -p \\\"+PASSWORD+\\\" config -g cfgLanNetworking -o cfgDNSServer1 \\\"+colo_dns[DEFAULT_COLO ][0])\\n if result2.failed:\\n logging.error(\\\"Host: [ \\\"+host+\\\" ] : \\\" + \\\"Configuration for DNSServer1 failed \\\")\\n\\n result3 = sudo(\\\"racadm5 -r \\\"+host+\\\" -u root -p \\\"+PASSWORD+\\\" config -g cfgLanNetworking -o cfgDNSServer2 \\\"+colo_dns[DEFAULT_COLO ][1])\\n if result3.failed:\\n logging.error(\\\"Host: [ \\\"+host+\\\" ] : \\\" + \\\"Configuration for DNSServer2 failed \\\")\",\n \"def stopEngines():\\n pass\",\n \"def add_delete_compute_cinder_ceph_ephemeral(self):\\n\\n self.env.revert_snapshot('ready_with_9_slaves')\\n\\n self.show_step(1, initialize=True)\\n data = {\\n 'volumes_lvm': True,\\n 'volumes_ceph': False,\\n 'images_ceph': True,\\n 'ephemeral_ceph': True,\\n 'osd_pool_size': '2',\\n 'tenant': 'scalegroup6',\\n 'user': 'scalegroup6',\\n 'password': 'scalegroup6'\\n }\\n\\n cluster_id = self.fuel_web.create_cluster(\\n name=self.__class__.__name__,\\n settings=data\\n )\\n self.fuel_web.update_nodes(\\n cluster_id,\\n {\\n 'slave-01': ['controller'],\\n 'slave-02': ['controller'],\\n 'slave-03': ['controller'],\\n 'slave-04': ['compute'],\\n 'slave-05': ['ceph-osd', 'cinder'],\\n 'slave-06': ['ceph-osd', 'cinder']\\n }\\n )\\n\\n self.fuel_web.deploy_cluster_wait(cluster_id)\\n\\n self.show_step(2)\\n self.fuel_web.verify_network(cluster_id)\\n\\n self.show_step(3)\\n self.fuel_web.run_ostf(cluster_id)\\n\\n self.show_step(4)\\n self.fuel_web.update_nodes(\\n cluster_id,\\n {\\n 'slave-07': ['ceph-osd', 'cinder']\\n }\\n )\\n self.fuel_web.deploy_cluster_wait(cluster_id)\\n\\n self.show_step(5)\\n self.fuel_web.verify_network(cluster_id)\\n\\n self.show_step(6)\\n self.fuel_web.run_ostf(cluster_id)\\n\\n self.show_step(7)\\n self.fuel_web.update_nodes(\\n cluster_id,\\n {\\n 'slave-08': ['ceph-osd', 'cinder']\\n }\\n )\\n with self.fuel_web.get_ssh_for_node('slave-05') as remote_ceph:\\n self.fuel_web.prepare_ceph_to_delete(remote_ceph)\\n self.fuel_web.update_nodes(\\n cluster_id,\\n {\\n 'slave-05': ['ceph-osd', 'cinder']\\n },\\n pending_addition=False,\\n pending_deletion=True\\n )\\n\\n self.show_step(8)\\n self.fuel_web.deploy_cluster_wait(cluster_id)\\n\\n self.show_step(9)\\n self.fuel_web.verify_network(cluster_id)\\n\\n self.show_step(10)\\n self.fuel_web.run_ostf(cluster_id)\\n\\n self.show_step(11)\\n with self.fuel_web.get_ssh_for_node('slave-08') as remote_ceph:\\n self.fuel_web.prepare_ceph_to_delete(remote_ceph)\\n self.fuel_web.update_nodes(\\n cluster_id,\\n {\\n 'slave-08': ['ceph-osd', 'cinder']\\n },\\n pending_addition=False,\\n pending_deletion=True\\n )\\n self.show_step(12)\\n self.fuel_web.deploy_cluster_wait(cluster_id)\\n\\n self.show_step(13)\\n self.fuel_web.verify_network(cluster_id)\\n\\n self.show_step(14)\\n self.fuel_web.run_ostf(cluster_id)\\n self.env.make_snapshot(\\\"add_delete_compute_cinder_ceph_ephemeral\\\")\",\n \"async def disable_paging(self):\\n\\n # Display info message\\n log.info(\\\"disable_paging\\\")\\n\\n # Send command to the device to disable paging\\n await self.send_command(self.cmd_disable_paging)\",\n \"def disable(self):\\n pass\",\n \"def x10_all_lights_off(service):\\n housecode = service.data.get(SRV_HOUSECODE)\\n insteon_modem.x10_all_lights_off(housecode)\",\n \"def _disable_wifi_ap(self):\\n call(['systemctl', 'disable', 'hostapd', ])\\n call(['systemctl', 'disable', 'dnsmasq', ])\\n\\n context = self._get_ap_context()\\n self._write_system_template('/etc/network/interfaces', 'interfaces.conf', context)\\n self._write_system_template('/etc/dhcpcd.conf', 'dhcpcd.conf', context)\",\n \"def tempest_ceph_services_tun(self):\\n self.helper_ceph_services('tun')\",\n \"def disable(self) -> Awaitable[Dict]:\\n return self.client.send(\\\"Security.disable\\\", {})\",\n \"def disable_auto_os_update(self):\\n try:\\n self.composite_logger.log(\\\"Disabling auto OS updates in all identified services...\\\")\\n self.disable_auto_os_update_for_yum_cron()\\n self.disable_auto_os_update_for_dnf_automatic()\\n self.disable_auto_os_update_for_packagekit()\\n self.composite_logger.log_debug(\\\"Successfully disabled auto OS updates\\\")\\n\\n except Exception as error:\\n self.composite_logger.log_error(\\\"Could not disable auto OS updates. [Error={0}]\\\".format(repr(error)))\\n raise\",\n \"def __disable__(self) -> None:\\n pass\",\n \"def test_hugepage_service_state(Service):\\n\\n service = Service('disable-transparent-hugepages')\\n\\n assert service.is_enabled\\n assert service.is_running\",\n \"def _led_disable():\\n # type: () -> None\\n GPIO.output(LED_nOE, GPIO.HIGH)\",\n \"def disable_custom_kernel():\\n global _TF_ADDONS_PY_OPS\\n _TF_ADDONS_PY_OPS = True\",\n \"def setupCompute():\\n #Update /etc/hosts with mongo-server and monitoring-server\\n sudo(\\\"pip2 install chariot-runtime\\\")\\n #update configuration file located in /etc/chariot/chariot.conf\\n run(\\\"cd /etc/init.d && sudo update-rc.d chariot-nm defaults 99\\\")\\n run(\\\"cd /etc/init.d && sudo update-rc.d chariot-dm defaults 99\\\")\\n print(\\\"\\\\n after reboot check the MongoDB server for the presence of ConfigSpace database and Nodes collection. This collection should have a document each for every compute node.\\\")\\n sudo(\\\"reboot\\\")\",\n \"def disable(self):\\n self.enabled = False\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.7023965","0.6589337","0.65053415","0.6484101","0.61595577","0.6139749","0.5918607","0.5901828","0.58210856","0.5821036","0.5794583","0.57928306","0.57894987","0.5775211","0.5763872","0.573645","0.5679011","0.5662737","0.56420565","0.56060183","0.5554399","0.55434185","0.5541433","0.5482608","0.5472026","0.54501224","0.5423751","0.5411556","0.5410073","0.53958195","0.5392319","0.53830534","0.5382258","0.53804517","0.5374629","0.5368805","0.53395516","0.5301299","0.52830684","0.5278766","0.52739847","0.52739847","0.5271558","0.52695376","0.5266028","0.5260091","0.5255102","0.52514774","0.5250666","0.52453434","0.52380127","0.52269","0.5224425","0.52047336","0.51936626","0.518939","0.51800126","0.51745486","0.51683897","0.51678944","0.5165815","0.5164747","0.51627433","0.51613057","0.51537013","0.5151715","0.5132413","0.5129072","0.51161796","0.5115768","0.51145464","0.5101045","0.5090272","0.5084932","0.5073788","0.5071371","0.50574654","0.50539196","0.5047708","0.50457853","0.5038691","0.5024629","0.5021309","0.50165606","0.50161564","0.5015582","0.5002797","0.50013006","0.49937102","0.4991331","0.49884194","0.49815536","0.49808544","0.49715817","0.49587217","0.49492115","0.49491343","0.49479657","0.494502","0.4938259"],"string":"[\n \"0.7023965\",\n \"0.6589337\",\n \"0.65053415\",\n \"0.6484101\",\n \"0.61595577\",\n \"0.6139749\",\n \"0.5918607\",\n \"0.5901828\",\n \"0.58210856\",\n \"0.5821036\",\n \"0.5794583\",\n \"0.57928306\",\n \"0.57894987\",\n \"0.5775211\",\n \"0.5763872\",\n \"0.573645\",\n \"0.5679011\",\n \"0.5662737\",\n \"0.56420565\",\n \"0.56060183\",\n \"0.5554399\",\n \"0.55434185\",\n \"0.5541433\",\n \"0.5482608\",\n \"0.5472026\",\n \"0.54501224\",\n \"0.5423751\",\n \"0.5411556\",\n \"0.5410073\",\n \"0.53958195\",\n \"0.5392319\",\n \"0.53830534\",\n \"0.5382258\",\n \"0.53804517\",\n \"0.5374629\",\n \"0.5368805\",\n \"0.53395516\",\n \"0.5301299\",\n \"0.52830684\",\n \"0.5278766\",\n \"0.52739847\",\n \"0.52739847\",\n \"0.5271558\",\n \"0.52695376\",\n \"0.5266028\",\n \"0.5260091\",\n \"0.5255102\",\n \"0.52514774\",\n \"0.5250666\",\n \"0.52453434\",\n \"0.52380127\",\n \"0.52269\",\n \"0.5224425\",\n \"0.52047336\",\n \"0.51936626\",\n \"0.518939\",\n \"0.51800126\",\n \"0.51745486\",\n \"0.51683897\",\n \"0.51678944\",\n \"0.5165815\",\n \"0.5164747\",\n \"0.51627433\",\n \"0.51613057\",\n \"0.51537013\",\n \"0.5151715\",\n \"0.5132413\",\n \"0.5129072\",\n \"0.51161796\",\n \"0.5115768\",\n \"0.51145464\",\n \"0.5101045\",\n \"0.5090272\",\n \"0.5084932\",\n \"0.5073788\",\n \"0.5071371\",\n \"0.50574654\",\n \"0.50539196\",\n \"0.5047708\",\n \"0.50457853\",\n \"0.5038691\",\n \"0.5024629\",\n \"0.5021309\",\n \"0.50165606\",\n \"0.50161564\",\n \"0.5015582\",\n \"0.5002797\",\n \"0.50013006\",\n \"0.49937102\",\n \"0.4991331\",\n \"0.49884194\",\n \"0.49815536\",\n \"0.49808544\",\n \"0.49715817\",\n \"0.49587217\",\n \"0.49492115\",\n \"0.49491343\",\n \"0.49479657\",\n \"0.494502\",\n \"0.4938259\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.79389197"},"document_rank":{"kind":"string","value":"0"}}},{"rowIdx":20489,"cells":{"query":{"kind":"string","value":"Enable compute host services"},"document":{"kind":"string","value":"def nfvi_enable_compute_host_services(host_uuid, host_name, host_personality,\n callback):\n cmd_id = _compute_plugin.invoke_plugin('enable_host_services',\n host_uuid, host_name,\n host_personality,\n callback=callback)\n return cmd_id"},"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 nfvi_notify_compute_host_enabled(host_uuid, host_name, host_personality,\n callback):\n cmd_id = _compute_plugin.invoke_plugin('notify_host_enabled',\n host_uuid, host_name,\n host_personality,\n callback=callback)\n return cmd_id","def enable_host(self, name):\n from soppa.local import aslocal\n self.guest_ip = self.guest_ip()\n self.guest_host_name = name\n # Host (remote) change\n self.file.set_setting('/etc/hosts', '{0} {1}'.format('127.0.0.1', self.guest_host_name))\n # local change\n aslocal()\n self.file.set_setting('/etc/hosts', '{0} {1}'.format(self.guest_ip, name))","def enable_hyperv() -> None:\n try:\n subprocess.check_call(\n [\n 'DISM',\n '/Online',\n '/Enable-Feature',\n '/All',\n '/NoRestart',\n '/FeatureName:Microsoft-Hyper-V',\n ]\n )\n except subprocess.CalledProcessError as e:\n if e.returncode == 3010:\n pass # This is fine, because Windows.\n else:\n raise","def enable_service(service_name, start_type='auto'):\n run_program(['sc', 'config', service_name, 'start=', start_type])","def deploy_common_services():\n put('./minion/*', '/etc/systemd/system', use_sudo=True)\n sudo('source /etc/environment')\n sudo('/opt/bin/substitute_private_ipv4.sh /etc/systemd/system/flannel.service')\n sudo('/opt/bin/substitute_private_ipv4.sh /etc/systemd/system/kubelet.service')\n\n sudo('systemctl enable /etc/systemd/system/flannel.service')\n sudo('systemctl enable /etc/systemd/system/docker.service')\n sudo('systemctl enable /etc/systemd/system/kube-proxy.service')\n sudo('systemctl enable /etc/systemd/system/kubelet.service')\n\n sudo('systemctl daemon-reload')\n\n sudo('systemctl start flannel')\n sudo('systemctl start docker')\n sudo('systemctl start kube-proxy')\n sudo('systemctl start kubelet')","def _create_compute_service(self, **kwargs):\n\n dic = {'binary': 'nova-compute', 'topic': 'compute',\n 'report_count': 0, 'availability_zone': 'dummyzone'}\n dic['host'] = kwargs.get('host', 'dummy')\n s_ref = db.service_create(self.context, dic)\n if 'created_at' in kwargs.keys() or 'updated_at' in kwargs.keys():\n t = utils.utcnow() - datetime.timedelta(0)\n dic['created_at'] = kwargs.get('created_at', t)\n dic['updated_at'] = kwargs.get('updated_at', t)\n db.service_update(self.context, s_ref['id'], dic)\n\n dic = {'service_id': s_ref['id'],\n 'vcpus': 16, 'memory_mb': 32, 'local_gb': 100,\n 'vcpus_used': 16, 'local_gb_used': 10,\n 'hypervisor_type': 'qemu', 'hypervisor_version': 12003,\n 'cpu_info': ''}\n dic['memory_mb_used'] = kwargs.get('memory_mb_used', 32)\n dic['hypervisor_type'] = kwargs.get('hypervisor_type', 'qemu')\n dic['hypervisor_version'] = kwargs.get('hypervisor_version', 12003)\n db.compute_node_create(self.context, dic)\n return db.service_get(self.context, s_ref['id'])","def setupCompute():\n #Update /etc/hosts with mongo-server and monitoring-server\n sudo(\"pip2 install chariot-runtime\")\n #update configuration file located in /etc/chariot/chariot.conf\n run(\"cd /etc/init.d && sudo update-rc.d chariot-nm defaults 99\")\n run(\"cd /etc/init.d && sudo update-rc.d chariot-dm defaults 99\")\n print(\"\\n after reboot check the MongoDB server for the presence of ConfigSpace database and Nodes collection. This collection should have a document each for every compute node.\")\n sudo(\"reboot\")","def enable(service_name: str, print_action: bool = True):\n \n if print_action:\n print_log_status(3, f\"Enabling `{service_name}`\")\n \n run_command(f\"sudo systemctl enable {service_name}\")","def nfvi_disable_compute_host_services(host_uuid, host_name, host_personality,\n callback):\n cmd_id = _compute_plugin.invoke_plugin('disable_host_services',\n host_uuid, host_name,\n host_personality,\n callback=callback)\n return cmd_id","def test_reports_enabled_hosts_as_up(self):\n compute1 = self.start_service('compute', host='host1')\n compute2 = self.start_service('compute', host='host2')\n hosts = self.scheduler.driver.hosts_up(self.context, 'compute')\n self.assertEqual(2, len(hosts))\n compute1.kill()\n compute2.kill()","def enable_ad():\n for host in online_hosts:\n with settings(warn_only=True):\n\n result1 = sudo(\"racadm5 -r \"+host+\" -u root -p \"+PASSWORD+\" config -g cfgActiveDirectory -o cfgADEnable 1\")\n if result1.failed:\n logging.error(\"Host: [ \"+host+\" ] : \" + \"Enabling Active Directory failed \")\n\n result2 = sudo(\"racadm5 -r \"+host+\" -u root -p \"+PASSWORD+\" config -g cfgActiveDirectory -o cfgADType 2\")\n if result2.failed:\n logging.error(\"Host: [ \"+host+\" ] : \" + \"Setting of standard schema for AD failed \")","def set_host_enabled(self, host, enabled):\n if enabled:\n return 'enabled'\n return 'disabled'","def set_host_enabled(self, host, enabled):\n if enabled:\n return 'enabled'\n return 'disabled'","def enable(self):\n # Netmiko reports enable and config mode as being enabled\n if not self.native.check_enable_mode():\n self.native.enable()\n # Ensure device is not in config mode\n if self.native.check_config_mode():\n self.native.exit_config_mode()\n\n log.debug(\"Host %s: Device enabled.\", self.host)","def enable_scheduling(topo, change_number=None):\n succeeded = []\n failed = []\n error = None\n if not topo:\n return succeeded, failed, \\\n 'Attempted re-enable hypervisors for scheduling without ' \\\n 'providing a valid topology. Bailing out. Fix it!'\n\n # Get a list of all compute services for this cloud\n config = topo.render('os_client_config')\n cloud_config = config.get_one_cloud(cloud=topo.cloud.canonical_name)\n cloud = shade.OpenStackCloud(cloud_config=cloud_config)\n nova_client = cloud.nova_client\n services = nova_client.services.list(binary=\"nova-compute\")\n\n # Find all disabled hosts that have our change_number text\n matched_services = []\n for service in services:\n if service.status == 'disabled' and service.disabled_reason and \\\n change_number in service.disabled_reason:\n matched_services.append(service)\n if not matched_services:\n return succeeded, failed, \\\n 'Did not find any disabled HVs to re-enable. skipping.'\n\n # Re-enable the services.\n for service in matched_services:\n try:\n nova_client.services.enable(service.host, 'nova-compute')\n succeeded.append(service.host)\n except Exception as ex:\n error = ex.message\n failed.append(service.host)\n\n return succeeded, failed, error","def test_doesnt_report_disabled_hosts_as_up2(self):\n compute1 = self.start_service('compute', host='host1')\n compute2 = self.start_service('compute', host='host2')\n s1 = db.service_get_by_args(self.context, 'host1', 'nova-compute')\n s2 = db.service_get_by_args(self.context, 'host2', 'nova-compute')\n db.service_update(self.context, s1['id'], {'disabled': True})\n db.service_update(self.context, s2['id'], {'disabled': True})\n hosts = self.scheduler.driver.hosts_up(self.context, 'compute')\n self.assertEqual(0, len(hosts))\n compute1.kill()\n compute2.kill()","def run_services():\n for service in (\"minvd\", \"httpd\", \"ntpd\"):\n sudo(\"service %s start\" % service)\n sudo(\"chkconfig %s on\" % service)","def test_reports_enabled_hosts_as_up_no_queue(self):\n # NOTE(vish): constructing service without create method\n # because we are going to use it without queue\n compute1 = service.Service('host1',\n 'nova-compute',\n 'compute',\n FLAGS.compute_manager)\n compute1.start()\n compute2 = service.Service('host2',\n 'nova-compute',\n 'compute',\n FLAGS.compute_manager)\n compute2.start()\n hosts = self.scheduler.driver.hosts_up(self.context, 'compute')\n self.assertEqual(2, len(hosts))\n compute1.kill()\n compute2.kill()","def enable_network_management(self):\n self._request({\"enable-network-management\": True})","def enable_service(self, **kwargs):\n put_body = json.dumps(kwargs)\n resp, body = self.put('os-services/enable', put_body)\n body = json.loads(body)\n self.validate_response(schema.enable_service, resp, body)\n return rest_client.ResponseBody(resp, body)","def service():\n conf = template('remote/addok.service', **config)\n put(conf, '/etc/systemd/system/addok.service')\n systemctl('enable addok.service')","def enable(ctx):\n\n config_db = ConfigDBConnector()\n config_db.connect()\n config_db.mod_entry(\"NAT_GLOBAL\", \"Values\", {\"admin_mode\": \"enabled\"})","def _add_services(self):\n this_service = {'name': 'keystone'}\n other_services = [\n {'name': 'percona-cluster', 'constraints': {'mem': '3072M'}},\n {'name': 'rabbitmq-server'}, # satisfy wrkload stat\n {'name': 'cinder'},\n ]\n super(KeystoneBasicDeployment, self)._add_services(this_service,\n other_services)","def enable_server(self, server):\n log.info(\"Enabling %s in netscaler\", server)\n return self.post(\"server?action=enable\", {\"server\": {\"name\": server}}, content_type=self.content_type(\"server\"))","def keystonehost():\n env.cd = cd\n env.run = run\n env.hosts = settings.HOSTS['keystone']\n env.exists = exists","def enable_service(self, service):\n svc = self.service_path % service\n ret = self.rclient.put(svc)\n if ret.status != restclient.Status.ACCEPTED:\n exception_msg = (_(\"Cannot enable %s service.\") % service)\n raise exception.ShareBackendException(msg=exception_msg)","def scp_enable(task):\n cmd = \"ip scp server enable\"\n task.run(task=netmiko_send_config, config_commands=cmd)\n c_print(f\"*** {task.host}: SCP has been enabled ***\")","def horizonhost():\n env.cd = cd\n env.run = run\n env.hosts = settings.HOSTS['horizon']\n env.exists = exists","def enable_dns_management(self):\n self._request({\"enable-dns-management\": True})","def test_doesnt_report_disabled_hosts_as_up_no_queue(self):\n # NOTE(vish): constructing service without create method\n # because we are going to use it without queue\n compute1 = service.Service('host1',\n 'nova-compute',\n 'compute',\n FLAGS.compute_manager)\n compute1.start()\n compute2 = service.Service('host2',\n 'nova-compute',\n 'compute',\n FLAGS.compute_manager)\n compute2.start()\n s1 = db.service_get_by_args(self.context, 'host1', 'nova-compute')\n s2 = db.service_get_by_args(self.context, 'host2', 'nova-compute')\n db.service_update(self.context, s1['id'], {'disabled': True})\n db.service_update(self.context, s2['id'], {'disabled': True})\n hosts = self.scheduler.driver.hosts_up(self.context, 'compute')\n self.assertEqual(0, len(hosts))\n compute1.kill()\n compute2.kill()","def set_online(rg = None):\n if isinstance(rg, int):\n rg = [rg]\n\n if rg is None:\n _cpu.enable_all_cpu()\n print(\"All CPUs enabled.\")\n else:\n for core in rg:\n try:\n _cpu.enable_cpu(core)\n if _verbose:\n print(f\"CPU {core} set online.\")\n except:\n print(f\"ERROR: An exception occurred. Check if CPU {core} exists.\")","def hostsplit_service(self):\n self.which_owner()\n self.which_security()\n\n for service, value in self.service_discovery.items():\n self.details[\"services\"][service] = self.which_service(service, **value)","def startStorageServices():\n sudo('/etc/init.d/tomcat6 start')\n sudo('/etc/init.d/postgresql-8.4 start')","def enable_cloud(self, api_key, url=None):\n self.cloudservice.enable(api_key, url)","def startRhevmDbRelatedServices():\n (output, rc) = etlService.conditionalStart()\n if rc != 0:\n logging.warn(\"Failed to start rhevm-etl\")\n controller.MESSAGES.append(output_messages.ERR_FAILED_START_SERVICE % \"rhevm-etl\")\n\n (output, rc) = notificationService.conditionalStart()\n if rc != 0:\n logging.warn(\"Failed to start rhevm-notifierd\")\n controller.MESSAGES.append(output_messages.ERR_FAILED_START_SERVICE % \"rhevm-notifierd\")","def provision_node(\n *,\n services: list,\n user: str,\n host: str,\n identity_file: str,\n cluster: FlintrockCluster):\n client = get_ssh_client(\n user=user,\n host=host,\n identity_file=identity_file,\n wait=True)\n\n with client:\n setup_node(\n ssh_client=client,\n services=services,\n cluster=cluster)\n for service in services:\n service.configure(\n ssh_client=client,\n cluster=cluster)","def _add_node_to_etc_hosts(self):\n image = 'alpine:latest'\n command = 'echo \"{} {} # clusterdock\" >> /etc/hosts'.format(self.ip_address,\n self.fqdn)\n volumes = {'/etc/hosts': {'bind': '/etc/hosts', 'mode': 'rw'}}\n\n logger.debug('Adding %s to /etc/hosts ...', self.fqdn)\n client.containers.run(image=image,\n command=[self.execute_shell, '-c', command],\n volumes=volumes,\n remove=True)","def nfvi_notify_compute_host_disabled(host_uuid, host_name, host_personality,\n callback):\n cmd_id = _compute_plugin.invoke_plugin('notify_host_disabled',\n host_uuid, host_name,\n host_personality,\n callback=callback)\n return cmd_id","def enable():\n ret = {}\n result = __salt__[\"cmd.run_all\"](\n \"pfctl -e\", output_loglevel=\"trace\", python_shell=False\n )\n\n if result[\"retcode\"] == 0:\n ret = {\"comment\": \"pf enabled\", \"changes\": True}\n else:\n # If pf was already enabled the return code is also non-zero.\n # Don't raise an exception in that case.\n if result[\"stderr\"] == \"pfctl: pf already enabled\":\n ret = {\"comment\": \"pf already enabled\", \"changes\": False}\n else:\n raise CommandExecutionError(\n \"Could not enable pf\",\n info={\"errors\": [result[\"stderr\"]], \"changes\": False},\n )\n\n return ret","def ceph_enabled(self):","def add_host(self, hostip, username=None, password=None, fetch_iface=True):\n username = username or self._ep_username\n password = password or self._ep_password\n try:\n prep_node(hostip, username, password)\n if not self.wait_on_host(hostip):\n log.error(\"Could not start service on %s\", hostip)\n if fetch_iface:\n self.add_endpoints(hostip, username, password)\n self.nodes.add(hostip)\n return True\n except Exception as err:\n log.error(\"Error in preparing host %s - %r\", hostip, err)\n return False","def has_openstack_compute(labels):\n if not labels:\n return False\n\n for label in labels:\n if label.label_key == helm_common.LABEL_COMPUTE_LABEL and label.label_value:\n return helm_common.LABEL_VALUE_ENABLED == label.label_value.lower()\n\n # We haven't found the openstack compute node key. Return False\n return False","def EnableCPU():\n global option\n option['device'] = 'CPU'","def start(self, wait_for_port=False):\n for c in self.openstack_endpoints.values():\n c.compute = self.compute\n c.manage = self.manage\n c.server_thread = threading.Thread(target=c._start_flask, args=())\n c.server_thread.daemon = True\n c.server_thread.name = c.__class__.__name__\n c.server_thread.start()\n if wait_for_port:\n self._wait_for_port(c.ip, c.port)","def vcpu_set(vm_hostname, count, offline=False):\n with ExitStack() as es:\n vm = es.enter_context(_get_vm(vm_hostname))\n\n if vm.dataset_obj['datacenter_type'] != 'kvm.dct':\n raise NotImplementedError(\n 'This operation is not yet supported for {}'.format(\n vm.dataset_obj['datacenter_type'])\n )\n\n _check_defined(vm)\n\n if offline and not vm.is_running():\n log.info(\n '\"{}\" is already powered off, ignoring --offline.'.format(\n vm.fqdn)\n )\n offline = False\n\n if count == vm.dataset_obj['num_cpu']:\n raise Warning('CPU count is the same.')\n\n if offline:\n vm.shutdown()\n vm.set_num_cpu(count)\n if offline:\n vm.start()","def startServices():\n # dnsmasq\n out_dnsmasq = subprocess.run([\"systemctl\", \"restart\", \"dnsmasq\"], stdout=subprocess.PIPE)\n if out_dnsmasq.returncode == 0:\n logging.info(\"dnsmasq service started/restarted successfully\")\n else:\n logging.error(\"dnsmasq service start restart error\")\n # 3proxy\n out_3proxy = subprocess.run([\"systemctl\", \"restart\", \"3proxy\"], stdout=subprocess.PIPE)\n if out_3proxy.returncode == 0:\n logging.info(\"3proxy service started/restarted successfully\")\n else:\n logging.error(\"3proxy service start restart error\")","def init_host(self, host):\n if self._drv_nodes is None:\n self.set_nodes([nova_conf.host])\n args = (drv_conf.tenant_id, drv_conf.client_id, drv_conf.client_secret,\n drv_conf.subscription_id)\n\n self.compute_client = utils.get_compute_client(*args)\n self.resource_client = utils.get_resource_client(*args)\n self.network_client = utils.get_network_client(*args)\n is_resource_created = utils.check_resource_existence(\n self.resource_client, drv_conf.resource_group)\n if not is_resource_created:\n utils.create_resource_group(\n self.resource_client, drv_conf.resource_group, drv_conf.region)\n\n self.flavor_info.update(\n utils.get_vm_sizes(self.compute_client, drv_conf.region))\n LOG.info(\"%s driver init with %s project, %s region\" %\n (self.name, drv_conf.tenant_id, drv_conf.region))","def inject_hosts_files(self):\n self.log.info(\"Injecting host files\")\n hosts = dict()\n for i in self.all_nodes:\n hosts[i.name] = i.get_public_addr()\n #add the host names to etc/hosts\n orchestrator.inject_hostnames(hosts, delete=self.cluster_name)\n for i in self.all_nodes:\n i.inject_hostnames(hosts, delete=self.cluster_name)\n self.all_nodes[0].run_command(\"service ganglia-monitor restart; service gmetad restart\", silent=True)\n orchestrator.run_command(\"service ganglia-monitor restart; service gmetad restart\", silent=True)","def start(services, no_auto_upgrade, anchore_module, skip_config_validate, skip_db_compat_check, all):\n\n global config\n ecode = ExitCode.ok\n\n if not anchore_module:\n module_name = \"anchore_engine\"\n else:\n module_name = str(anchore_module)\n\n if os.environ.get('ANCHORE_ENGINE_SKIP_DB_COMPAT_CHECK', str(skip_db_compat_check)).lower() in ['true', 't', 'y', 'yes']:\n skip_db_compat_check = True\n else:\n skip_db_compat_check = False\n\n if services:\n input_services = list(services)\n else:\n input_services = os.getenv('ANCHORE_ENGINE_SERVICES', '').strip().split()\n\n if not input_services and not all:\n raise click.exceptions.BadArgumentUsage('No services defined to start. Must either provide service arguments, ANCHORE_ENGINE_SERVICES env var, or --all option')\n\n try:\n validate_params = {\n 'services': True,\n 'webhooks': True,\n 'credentials': True\n }\n if skip_config_validate:\n try:\n items = skip_config_validate.split(',')\n for item in items:\n validate_params[item] = False\n except Exception as err:\n raise Exception(err)\n\n # find/set up configuration \n configdir = config['configdir']\n configfile = os.path.join(configdir, \"config.yaml\")\n\n localconfig = None\n if os.path.exists(configfile):\n try:\n localconfig = anchore_engine.configuration.localconfig.load_config(configdir=configdir, configfile=configfile, validate_params=validate_params)\n except Exception as err:\n raise Exception(\"cannot load local configuration: \" + str(err))\n else:\n raise Exception(\"cannot locate configuration file ({})\".format(configfile))\n\n # load the appropriate DB module\n try:\n logger.info(\"Loading DB routines from module ({})\".format(module_name))\n module = importlib.import_module(module_name + \".db.entities.upgrade\")\n except Exception as err:\n raise Exception(\"Input anchore-module (\" + str(module_name) + \") cannot be found/imported - exception: \" + str(err))\n\n # get the list of local services to start\n startFailed = False\n if not input_services:\n config_services = localconfig.get('services', {})\n if not config_services:\n logger.warn('could not find any services to execute in the config file')\n sys.exit(1)\n\n input_services = [name for name, srv_conf in list(config_services.items()) if srv_conf.get('enabled')]\n\n services = []\n for service_conf_name in input_services:\n if service_conf_name in list(service_map.values()):\n svc = service_conf_name\n else:\n svc = service_map.get(service_conf_name)\n\n if svc:\n services.append(svc)\n else:\n logger.warn('specified service {} not found in list of available services {} - removing from list of services to start'.format(service_conf_name, list(service_map.keys())))\n\n if 'anchore-catalog' in services:\n services.remove('anchore-catalog')\n services.insert(0, 'anchore-catalog')\n\n if not services:\n logger.error(\"No services found in ANCHORE_ENGINE_SERVICES or as enabled in config.yaml to start - exiting\")\n sys.exit(1)\n\n # preflight - db checks\n try:\n db_params = anchore_engine.db.entities.common.get_params(localconfig)\n\n # override db_timeout since upgrade might require longer db session timeout setting\n try:\n if 'timeout' in db_params.get('db_connect_args', {}):\n db_params['db_connect_args']['timeout'] = 86400\n elif 'connect_timeout' in db_params.get('db_connect_args', {}):\n db_params['db_connect_args']['connect_timeout'] = 86400\n except Exception as err:\n pass\n\n anchore_manager.util.db.connect_database(db_params, db_retries=300)\n code_versions, db_versions = anchore_manager.util.db.init_database(upgrade_module=module, localconfig=localconfig, do_db_compatibility_check=(not skip_db_compat_check))\n\n in_sync = False\n timed_out = False\n max_timeout = 3600\n\n timer = time.time()\n while not in_sync and not timed_out:\n code_versions, db_versions = module.get_versions()\n\n if code_versions and db_versions:\n if code_versions['db_version'] != db_versions['db_version']:\n if not no_auto_upgrade and 'anchore-catalog' in services:\n logger.info(\"Performing upgrade.\")\n try:\n # perform the upgrade logic here\n rc = module.run_upgrade()\n if rc:\n logger.info(\"Upgrade completed\")\n else:\n logger.info(\"No upgrade necessary. Completed.\")\n except Exception as err:\n raise err\n\n in_sync = True\n else:\n logger.warn(\n \"this version of anchore-engine requires the anchore DB version ({}) but we discovered anchore DB version ({}) in the running DB - it is safe to run the upgrade while seeing this message - will retry for {} more seconds.\".format(\n str(code_versions['db_version']), str(db_versions['db_version']), str(max_timeout - int(time.time() - timer))))\n time.sleep(5)\n else:\n logger.info(\"DB version and code version in sync.\")\n in_sync = True\n else:\n logger.warn('no existing anchore DB data can be discovered, assuming bootstrap')\n in_sync = True\n\n if (max_timeout - int(time.time() - timer)) < 0:\n timed_out = True\n\n if not in_sync:\n raise Exception(\"this version of anchore-engine requires the anchore DB version (\" + str(code_versions['db_version']) + \") but we discovered anchore DB version (\" + str(\n db_versions['db_version']) + \") in the running DB - please perform the DB upgrade process and retry\")\n\n except Exception as err:\n raise err\n\n finally:\n rc = anchore_engine.db.entities.common.do_disconnect()\n\n # start up services\n logger.info('Starting services: {}'.format(services))\n\n for supportdir in [\"/var/log/anchore\", \"/var/run/anchore\"]:\n try:\n if not os.path.exists(supportdir):\n os.makedirs(supportdir, 0o755)\n except Exception as err:\n logger.error(\"cannot create log directory {} - exception: {}\".format(supportdir, str(err)))\n raise err\n\n pids = []\n keepalive_threads = []\n for service in services:\n pidfile = \"/var/run/anchore/\" + service + \".pid\"\n try:\n terminate_service(service, flush_pidfile=True)\n\n service_thread = ServiceThread(startup_service, (service, configdir))\n keepalive_threads.append(service_thread)\n max_tries = 30\n tries = 0\n alive = True\n while not os.path.exists(pidfile) and tries < max_tries:\n logger.info(\"waiting for service pidfile {} to exist {}/{}\".format(pidfile, tries, max_tries))\n\n try:\n alive = service_thread.thread.is_alive()\n except:\n pass\n if not alive:\n logger.info(\"service thread has stopped {}\".format(service))\n break\n\n time.sleep(1)\n tries = tries + 1\n\n logger.info(\"auto_restart_services setting: {}\".format(localconfig.get('auto_restart_services', False)))\n if not localconfig.get('auto_restart_services', False):\n logger.info(\"checking for startup failure pidfile={}, is_alive={}\".format(os.path.exists(pidfile), alive))\n if not os.path.exists(pidfile) or not alive:\n raise Exception(\"service thread for ({}) failed to start\".format(service))\n\n time.sleep(1)\n except Exception as err:\n startFailed = True\n logger.warn(\"service start failed - exception: {}\".format(str(err)))\n break\n\n if startFailed:\n logger.fatal(\"one or more services failed to start. cleanly terminating the others\")\n for service in services:\n terminate_service(service, flush_pidfile=True)\n sys.exit(1)\n else:\n # start up the log watchers\n try:\n observer = Observer()\n observer.schedule(AnchoreLogWatcher(), path=\"/var/log/anchore/\")\n observer.start()\n\n try:\n while True:\n time.sleep(1)\n if localconfig.get('auto_restart_services', False): # 'auto_restart_services' in localconfig and localconfig['auto_restart_services']:\n for service_thread in keepalive_threads:\n if not service_thread.thread.is_alive():\n logger.info(\"restarting service: {}\".format(service_thread.thread.name))\n service_thread.start()\n\n except KeyboardInterrupt:\n observer.stop()\n observer.join()\n\n except Exception as err:\n logger.error(\"failed to startup log watchers - exception: {}\".format(str(err)))\n raise err\n\n except Exception as err:\n log_error('servicestart', err)\n ecode = ExitCode.failed\n\n doexit(ecode)","def enabled_services(self):\n services = set()\n if self.ce_collector_required_rpms_installed and self.htcondor_gateway_enabled:\n services.add('condor-ce')\n return services","def init_host(self, **kwargs):\n LOG.info(_LI(\"Starting controller service\"))\n self._init_volumes(self.admin_context)\n self._init_backups(self.admin_context)\n self._init_replicates(self.admin_context)\n self._init_snapshots(self.admin_context)","def enable():\n request = dict(id='gbn')\n _gbn_enable(request)","def enabled(config):\n enable(config)\n reload_service('apache2')","async def on_terncy_svc_add(event):\n dev_id = event.data[\"dev_id\"]\n _LOGGER.info(\"found terncy service: %s %s\", dev_id, event.data)\n host = event.data[\"ip\"]\n if dev_id == tern.dev_id and not tern.is_connected():\n tern.host = host\n _LOGGER.info(\"start connection to %s %s\", dev_id, tern.host)\n\n hass.async_create_task(setup_terncy_loop())","def tempest_ceph_services_tun(self):\n self.helper_ceph_services('tun')","def start_node(\n *,\n services: list,\n user: str,\n host: str,\n identity_file: str,\n cluster: FlintrockCluster):\n ssh_client = get_ssh_client(\n user=user,\n host=host,\n identity_file=identity_file,\n wait=True)\n\n with ssh_client:\n # TODO: Consider consolidating ephemeral storage code under a dedicated\n # Flintrock service.\n if cluster.storage_dirs.ephemeral:\n ssh_check_output(\n client=ssh_client,\n command=\"\"\"\n sudo chown \"{u}:{u}\" {d}\n \"\"\".format(\n u=user,\n d=' '.join(cluster.storage_dirs.ephemeral)))\n\n for service in services:\n service.configure(\n ssh_client=ssh_client,\n cluster=cluster)","def _provision_node(\n self,\n name,\n hostname,\n ):\n docker_utils.install_docker(\n hostname=hostname,\n ssh_port=SSH_PORT,\n ssh_username=self.get_ssh_username(name),\n ssh_private_key_file=self.get_ssh_private_key_file(name),\n executor=name,\n logger=self._logger,\n )","def test_service(host):\n assert host.service('php7.0-fpm').is_enabled\n assert host.service('php7.0-fpm').is_running\n assert host.service('php7.2-fpm').is_enabled\n assert host.service('php7.2-fpm').is_running","def test_start_services(matrix, mock_host_service):\n mock_host_service.reset_mock()\n status = matrix.start_services()\n mock_host_service.assert_has_calls(\n [\n mock.call(\"start\", matrix.synapse_service),\n mock.call(\"enable\", matrix.synapse_service),\n ],\n any_order=False,\n )\n assert mock_host_service.call_count == 2\n assert status is True","def host_config(keep_defaults=False, splittx=False, splitrx=False, rss=False):\n print(f'''\\n{'-'*60}\\n\\t\\t\\t\\tHost Optimization\\n{'-'*60}\\n''')\n hosts = settings.getValue('HOST_DETAILS')\n # Create object of HostConfig() to access functions\n config_host = Host.HostConfig()\n for host in hosts:\n print(f' - Getting the Host current Status')\n get_host_config(header=f\"Current Host Status ({host['HOST']})\")\n client = HostSession.HostSession().connect(host['HOST'], host['USER'], host['PASSWORD'], False)\n _NICS = host['NICS'].split(',')\n logger.info(f'Getting ESXi version details')\n ver = config_host.get_host_version(client)\n logger.info(f'{ver}')\n logger.info('Start applying optimizations for the specific Esxi version')\n print(f' - Getting configuration settings from host.json')\n print(f' - Applying the host Optimization.')\n if ver.find('6.5') > -1:\n logger.info('Getting configuration settings from host.json')\n params = settings.getValue('ESXI65')\n logger.info(f'Configuring NICS {_NICS} for driver module: {params[\"NIC_DRIVER\"]}')\n for nic in _NICS:\n logger.info(f'Configuring {nic}')\n success, message = config_host.config_nic_driver(client, nic, params['NIC_DRIVER']['NAME'])\n if eval(success):\n logger.info(f'{nic} driver configuration success: {eval(success)}')\n else:\n logger.error(f'{nic} driver configuration success: {eval(success)}')\n logger.info(f'host output: {message}')\n HostSession.HostSession().disconnect(client)\n return False\n if rss:\n logger.info(f'RSS to be enabled: {params[\"ENABLE_RSS\"]}')\n logger.info('Configuring RSS')\n success, message = config_host.config_rss(client, params[\"NIC_DRIVER\"]['NAME'], enable=params[\"ENABLE_RSS\"])\n if eval(success):\n logger.info(f'RSS configuration success : {eval(success)}')\n else:\n logger.info(f'RSS configuration success : {eval(success)}')\n logger.info(f'host output: {message}')\n HostSession.HostSession().disconnect(client)\n return False\n else:\n success, message = config_host.config_rss(client, params[\"NIC_DRIVER\"]['NAME'], enable=False)\n if eval(success):\n logger.info(f'RSS configuration success : {eval(success)}')\n else:\n logger.info(f'RSS configuration success : {eval(success)}')\n logger.info(f'host output: {message}')\n HostSession.HostSession().disconnect(client)\n return False\n\n for nic in _NICS:\n logger.info(f'Configuring Physical NIC Ring Size as {params[\"NIC_BUFFER_SIZE\"]} on {nic}')\n success, message = config_host.config_nic_ring_size(client, nic, params[\"NIC_BUFFER_SIZE\"][\"RX\"], params[\"NIC_BUFFER_SIZE\"][\"TX\"])\n if eval(success):\n logger.info(f'{nic} ring size configuration success: {eval(success)}')\n else:\n logger.error(f'{nic} ring size configuration success: {eval(success)}')\n logger.info(f'host output: {message}')\n HostSession.HostSession().disconnect(client)\n return False\n\n logger.info(f'Configuring SW TX queue length as {params[\"SW_TX_QUEUE\"]}')\n success, message = config_host.config_sw_tx_queue_size(client, params[\"SW_TX_QUEUE\"])\n if eval(success):\n logger.info(f'Software TX queue configuration success: {eval(success)}')\n else:\n logger.error(f'Software TX queue configuration success: {eval(success)}')\n logger.info(f'host output: {message}')\n HostSession.HostSession().disconnect(client)\n return False\n\n logger.info(f'Queue Pairing to be enabled: {params[\"ENABLE_QUEUE_PAIRING\"]}')\n success, message = config_host.config_queue_pairing(client, enable=params[\"ENABLE_QUEUE_PAIRING\"])\n if eval(success):\n logger.info(f'Queue Pairing configuration success: {eval(success)}')\n else:\n logger.info(f'Queue Pairing configuration success: {eval(success)}')\n logger.info(f'host output: {message}')\n HostSession.HostSession().disconnect(client)\n return False\n if splittx:\n logger.info(f'Split TX mode to be enabled: {params[\"ENABLE_TX_SPLIT\"]}')\n for nic in _NICS:\n logger.info(f'Configuring Split TX on {nic}')\n success, message = config_host.config_tx_split(client, nic, enable=params[\"ENABLE_TX_SPLIT\"])\n if eval(success):\n logger.info(\n f'Split TX configuration success: {eval(success)}')\n else:\n logger.error(\n f'Split TX configuration success: {eval(success)}')\n logger.info(f'host output: {message}')\n HostSession.HostSession().disconnect(client)\n return False\n else:\n logger.info('Getting configuration settings from host.json')\n params = settings.getValue('ESXI60U2')\n logger.info(ver)\n logger.info(f'Hyper threading enabled: {config_host.is_hyperthreading_enabled(client)}')\n logger.info(\n f'Configure Hyper threading: enable={params[\"ENABLE_HYPERTHREADING\"]} config success={config_host.config_hyperthreading(client, enable=params[\"ENABLE_HYPERTHREADING\"])}')\n\n logger.info(f'NICS {_NICS}')\n logger.info(f'Configuring {params[\"NIC_DRIVER\"]}')\n for nic in _NICS:\n logger.info(\"{} : config={}\".format(nic, config_host.config_nic_driver(client, nic, params['NIC_DRIVER']['NAME'])))\n if rss:\n logger.info(f'RSS enabled: {config_host.verify_rss(client, params[\"NIC_DRIVER\"])}')\n logger.info(f'Configuring RSS: enable = {params[\"ENABLE_RSS\"]} success=\\\n {config_host.config_rss(client, params[\"NIC_DRIVER\"][\"NAME\"], enable=params[\"ENABLE_RSS\"])}')\n else:\n success, message = config_host.config_rss(client, params[\"NIC_DRIVER\"]['NAME'], enable=False)\n if eval(success):\n logger.info(f'RSS configuration success : {eval(success)}')\n else:\n logger.info(f'RSS configuration success : {eval(success)}')\n logger.info(f'host output: {message}')\n HostSession.HostSession().disconnect(client)\n return False\n\n for nic in _NICS:\n logger.info(f'Configuring Physical NIC Ring Size as {params[\"NIC_BUFFER_SIZE\"]} on {nic} : \\\n isSet = {config_host.verify_nic_ring_size(client, nic, params[\"NIC_BUFFER_SIZE\"][\"RX\"], params[\"NIC_BUFFER_SIZE\"][\"TX\"])} : \\\n config success={config_host.config_nic_ring_size(client, nic, params[\"NIC_BUFFER_SIZE\"][\"RX\"], params[\"NIC_BUFFER_SIZE\"][\"TX\"])} ')\n\n logger.info(f'Configuring SW TX queue length as {params[\"SW_TX_QUEUE\"]}: isSet={config_host.verify_sw_tx_queue_size(client, params[\"SW_TX_QUEUE\"])} \\\n : config success = {config_host.config_sw_tx_queue_size(client, params[\"SW_TX_QUEUE\"])}')\n\n logger.info(f'Configuring Queue Pairing enabled ={params[\"ENABLE_QUEUE_PAIRING\"]}: isEnabled={config_host.is_queue_pairing_enabled(client)} \\\n : config success = {config_host.config_queue_pairing(client, enable=params[\"ENABLE_QUEUE_PAIRING\"])}')\n if splittx:\n for nic in _NICS:\n logger.info(f'Configuring Split TX mode ={params[\"ENABLE_TX_SPLIT\"]}: isEnabled={config_host.is_tx_split_enabled(client, nic)}\\\n : config success = {config_host.config_tx_split(client, nic, enable=params[\"ENABLE_TX_SPLIT\"])}')\n print(f' - Getting the Host Status after Optimizations')\n get_host_config(header=f\"Post Host Optimization ({host['HOST']})\")\n HostSession.HostSession().disconnect(client)\n return True","def enable_hdfs_ha(nodes, hdfs, zk_name, name_service='HDFS-HA'):\n logging.info(\"Setup HDFS HA and Redundancy\")\n nn_name = get_role_name(hdfs, \"NAMENODE\")\n second_nn_node = get_role_vm(nodes, hdfs, get_role_name(hdfs, \"SECONDARYNAMENODE\"))\n if nn_name and second_nn_node:\n wait_on_success(hdfs.enable_nn_ha(nn_name, second_nn_node['id'], name_service, [], None, None, None, None, None, zk_name))","def enable():\n configdb = ConfigDBConnector()\n configdb.connect()\n tunnel_info = {}\n tunnel_info['FLEX_COUNTER_STATUS'] = ENABLE\n configdb.mod_entry(\"FLEX_COUNTER_TABLE\", \"TUNNEL\", tunnel_info)","def enabled_on_host() -> Callable[[Loader.ModInfo], bool]:\n def filter_fn(mod_info: Loader.ModInfo) -> bool:\n if len(mod_info.mod_def.hostnames) == 0:\n return True\n\n if HOSTNAME not in mod_info.mod_def.hostnames:\n _LOG.info(\n f\"{mod_info.mod_def.name} is not enabled for host {HOSTNAME}\"\n )\n return False\n return True\n\n return filter_fn","async def start_all(self):\n try:\n for service in self.services:\n try:\n await service.start()\n await service.healthcheck()\n except Exception as e:\n log.exception(\"Exception while starting %s service\", service)\n raise ServiceStartupException from e\n self.started_services.append(service)\n except ServiceStartupException:\n log.error(\"Stopping services on startup failure\")\n await self.stop_all()\n raise","def enable():\n configdb = ConfigDBConnector()\n configdb.connect()\n port_info = {}\n port_info['FLEX_COUNTER_STATUS'] = 'enable'\n configdb.mod_entry(\"FLEX_COUNTER_TABLE\", \"PORT\", port_info)","def set_management_ssh(enabled=True, deploy=False):\n\n if enabled is True:\n value = \"no\"\n elif enabled is False:\n value = \"yes\"\n else:\n raise CommandExecutionError(\n \"Invalid option provided for service enabled option.\"\n )\n\n ret = {}\n\n query = {\n \"type\": \"config\",\n \"action\": \"set\",\n \"xpath\": \"/config/devices/entry[@name='localhost.localdomain']/deviceconfig/system/service\",\n \"element\": \"<disable-ssh>{}</disable-ssh>\".format(value),\n }\n\n ret.update(__proxy__[\"panos.call\"](query))\n\n if deploy is True:\n ret.update(commit())\n\n return ret","def index(self, req):\n LOG.info(\"List all the nova-compute hosts in the system\")\n ctxt = req.environ['nova.context']\n authorize(ctxt)\n LOG.debug(\"%s - %s\", req.environ, req.body)\n services = dbapi.service_get_all_compute_sorted(ctxt)\n # services looks like (Service(object), Decimal('0'))\n # must convert from Decimal('0') to int() because no JSON repr\n hosts = [{'name':srv[0].host,\n 'instanceCount':int(srv[1])}\n for srv in services]\n return {'hosts': hosts}","def _add_services(self):\n # Services and relations which are present merely to satisfy\n # required_interfaces and workload status are not inspected.\n # Fix me. Inspect those too.\n this_service = {'name': 'neutron-openvswitch'}\n other_services = [\n {'name': 'nova-compute'},\n {'name': 'nova-cloud-controller'},\n {'name': 'rabbitmq-server'},\n {'name': 'keystone'},\n {'name': 'glance'},\n {'name': 'neutron-api'},\n self.get_percona_service_entry(),\n ]\n if self._get_openstack_release() >= self.bionic_train:\n other_services.append({'name': 'placement'})\n super(NeutronOVSBasicDeployment, self)._add_services(this_service,\n other_services)","def enable_services_for_household(self, household_id, services):\n root_url = \"/upm/households/{household_id}/enabledServices\".format(household_id=household_id)\n headers = {\"Source-ID\": \"PCT\", \"Source-Type\": \"PCT\"}\n payload = services\n\n enable_services_for_household_response, http_code = self.request(root_url, headers=headers, json=payload)\n\n return enable_services_for_household_response, http_code","def _startedComputePartition(self, compute_node_id, compute_partition_id):\n instance = self._getSoftwareInstanceForComputePartition(\n compute_node_id,\n compute_partition_id)\n \n instance.setAccessStatus(\n 'Instance correctly started', \"started\", reindex=1)","def configure_host_ips(h3, h4, ip_address_hs):\n\n h3.libs.ip.flush_ip('eth1')\n h3.libs.ip.interface('eth1', up=False)\n\n h4.libs.ip.flush_ip('eth1')\n h4.libs.ip.interface('eth1', up=False)\n\n h3.libs.ip.interface(portlbl='eth1', addr=\"{}/{}\".format(\n ip_address_hs[0], MASK), up=True)\n h4.libs.ip.interface(portlbl='eth1', addr=\"{}/{}\".format(\n ip_address_hs[1], MASK), up=True)","def _configure_services(self):\n neutron_ovs_config = {}\n neutron_ovs_config['enable-sriov'] = True\n neutron_ovs_config['sriov-device-mappings'] = 'physnet42:eth42'\n\n pxc_config = {\n 'dataset-size': '25%',\n 'max-connections': 1000,\n 'root-password': 'ChangeMe123',\n 'sst-password': 'ChangeMe123',\n }\n nova_cc_config = {'network-manager': 'Neutron'}\n configs = {\n 'neutron-openvswitch': neutron_ovs_config,\n 'percona-cluster': pxc_config,\n 'nova-cloud-controller': nova_cc_config,\n }\n super(NeutronOVSBasicDeployment, self)._configure_services(configs)","def _install(self, host):\n pass","def setup_node(\n *,\n # Change this to take host, user, and identity_file?\n # Add some kind of caching for SSH connections so that they\n # can be looked up by host and reused?\n ssh_client: paramiko.client.SSHClient,\n services: list,\n cluster: FlintrockCluster):\n host = ssh_client.get_transport().getpeername()[0]\n ssh_check_output(\n client=ssh_client,\n command=\"\"\"\n set -e\n\n echo {private_key} > \"$HOME/.ssh/id_rsa\"\n echo {public_key} >> \"$HOME/.ssh/authorized_keys\"\n\n chmod 400 \"$HOME/.ssh/id_rsa\"\n \"\"\".format(\n private_key=shlex.quote(cluster.ssh_key_pair.private),\n public_key=shlex.quote(cluster.ssh_key_pair.public)))\n\n with ssh_client.open_sftp() as sftp:\n sftp.put(\n localpath=os.path.join(SCRIPTS_DIR, 'setup-ephemeral-storage.py'),\n remotepath='/tmp/setup-ephemeral-storage.py')\n\n logger.info(\"[{h}] Configuring ephemeral storage...\".format(h=host))\n # TODO: Print some kind of warning if storage is large, since formatting\n # will take several minutes (~4 minutes for 2TB).\n storage_dirs_raw = ssh_check_output(\n client=ssh_client,\n command=\"\"\"\n set -e\n python /tmp/setup-ephemeral-storage.py\n rm -f /tmp/setup-ephemeral-storage.py\n \"\"\")\n storage_dirs = json.loads(storage_dirs_raw)\n\n cluster.storage_dirs.root = storage_dirs['root']\n cluster.storage_dirs.ephemeral = storage_dirs['ephemeral']\n\n ensure_java8(ssh_client)\n\n for service in services:\n service.install(\n ssh_client=ssh_client,\n cluster=cluster)","def enable_tkg(**kwargs):\n vmc_url = kwargs['strProdURL']\n auth_flag = kwargs['oauth']\n org_id = kwargs['ORG_ID']\n sddc_id = kwargs['SDDC_ID']\n session_token = kwargs['sessiontoken']\n egress_cidr = kwargs['egress_cidr']\n ingress_cidr = kwargs['ingress_cidr']\n namespace_cidr = kwargs['namespace_cidr']\n service_cidr = kwargs['service_cidr']\n\n cluster_id = get_sddc_cluster1_id(vmc_url, session_token, org_id, sddc_id)\n json_body = {\n \"egress_cidr\": [egress_cidr],\n \"ingress_cidr\": [ingress_cidr],\n \"namespace_cidr\": [namespace_cidr],\n \"service_cidr\": service_cidr\n }\n #Validate Cluster-1 in the SDDC will supported TKG\n print(\"Validating cluster for TKG...\")\n cluster_val_id = tkg_validate_cluster_json(vmc_url, org_id, sddc_id, cluster_id, session_token)\n ctask_params={'task_id':cluster_val_id,'ORG_ID':org_id,'strProdURL':vmc_url, 'sessiontoken':session_token, 'oauth':auth_flag, 'verbose':False}\n get_task_status(**ctask_params)\n\n #Validate the supplied CIDRs are valid for TKG\n print(\"Validatin CIDR ranges for TKG...\")\n network_val_id = tkg_validate_network_json(vmc_url, session_token, org_id, sddc_id, cluster_id, json_body)\n ntask_params={'task_id':network_val_id,'ORG_ID':org_id,'strProdURL':vmc_url, 'sessiontoken':session_token, 'oauth':auth_flag, 'verbose':False}\n get_task_status(**ntask_params)\n\n #Enable TKG on the SDDC\n print(\"Enabling TKG on cluster-1\")\n tkg_val_id = enable_tkg_json(vmc_url, session_token, org_id, sddc_id, cluster_id, json_body)\n ttask_params={'task_id':tkg_val_id,'ORG_ID':org_id,'strProdURL':vmc_url, 'sessiontoken':session_token, 'oauth':auth_flag, 'verbose':False}\n get_task_status(**ttask_params)\n sys.exit(\"TKG has been enabled\")","def all_hosts(*args, **kwargs):\n return True","def testEnableGcloudServices(self, mock_run):\n mock_run.return_value = \"\"\n self.gcp_env_runner._EnableGcloudServices(self.gcloud_runner)\n mock_run.assert_has_calls([\n mock.call([\"gcloud\", \"services\", \"enable\",\n gcp_setup_runner._ANDROID_BUILD_SERVICE],\n env=self.gcloud_runner._env, stderr=-2),\n mock.call([\"gcloud\", \"services\", \"enable\",\n gcp_setup_runner._COMPUTE_ENGINE_SERVICE],\n env=self.gcloud_runner._env, stderr=-2)])","def set_management_icmp(enabled=True, deploy=False):\n\n if enabled is True:\n value = \"no\"\n elif enabled is False:\n value = \"yes\"\n else:\n raise CommandExecutionError(\n \"Invalid option provided for service enabled option.\"\n )\n\n ret = {}\n\n query = {\n \"type\": \"config\",\n \"action\": \"set\",\n \"xpath\": \"/config/devices/entry[@name='localhost.localdomain']/deviceconfig/system/service\",\n \"element\": \"<disable-icmp>{}</disable-icmp>\".format(value),\n }\n\n ret.update(__proxy__[\"panos.call\"](query))\n\n if deploy is True:\n ret.update(commit())\n\n return ret","def enable_load_balancer_management(self):\n self._request({\"enable-load-balancer-management\": True})","def set_management_http(enabled=True, deploy=False):\n\n if enabled is True:\n value = \"no\"\n elif enabled is False:\n value = \"yes\"\n else:\n raise CommandExecutionError(\n \"Invalid option provided for service enabled option.\"\n )\n\n ret = {}\n\n query = {\n \"type\": \"config\",\n \"action\": \"set\",\n \"xpath\": \"/config/devices/entry[@name='localhost.localdomain']/deviceconfig/system/service\",\n \"element\": \"<disable-http>{}</disable-http>\".format(value),\n }\n\n ret.update(__proxy__[\"panos.call\"](query))\n\n if deploy is True:\n ret.update(commit())\n\n return ret","def _configure_services(self):\n keystone_config = {\n 'admin-password': 'openstack',\n 'admin-token': 'ubuntutesting',\n 'preferred-api-version': self.keystone_api_version,\n }\n\n if self.git:\n amulet_http_proxy = os.environ.get('AMULET_HTTP_PROXY')\n\n reqs_repo = 'git://github.com/openstack/requirements'\n keystone_repo = 'git://github.com/openstack/keystone'\n if self._get_openstack_release() == self.trusty_icehouse:\n reqs_repo = 'git://github.com/coreycb/requirements'\n keystone_repo = 'git://github.com/coreycb/keystone'\n\n branch = 'stable/' + self._get_openstack_release_string()\n\n openstack_origin_git = {\n 'repositories': [\n {'name': 'requirements',\n 'repository': reqs_repo,\n 'branch': branch},\n {'name': 'keystone',\n 'repository': keystone_repo,\n 'branch': branch},\n ],\n 'directory': '/mnt/openstack-git',\n 'http_proxy': amulet_http_proxy,\n 'https_proxy': amulet_http_proxy,\n }\n keystone_config['openstack-origin-git'] = \\\n yaml.dump(openstack_origin_git)\n\n pxc_config = {\n 'dataset-size': '25%',\n 'max-connections': 1000,\n 'root-password': 'ChangeMe123',\n 'sst-password': 'ChangeMe123',\n }\n cinder_config = {\n 'block-device': 'None',\n }\n configs = {\n 'keystone': keystone_config,\n 'percona-cluster': pxc_config,\n 'cinder': cinder_config,\n }\n super(KeystoneBasicDeployment, self)._configure_services(configs)","def check_if_host_disabled(self, host, binary='nova-compute'):\n _service_id = self._find_service_id_by_host(host, binary)\n if _service_id:\n _ser = self._client.services.find(id=_service_id)\n if _ser.status == u'enabled':\n return False\n elif _ser.status == u'disabled':\n return True\n else:\n return False","def power_on(self):\n for vm in self.vms:\n try:\n vm.name = \"%s_%s\" % (self.resource_pool, vm.name)\n vm.power_on(manager=self.manager)\n except:\n self.logger.error(\"Error with VM '%s'\" % vm.name)\n raise","def create_infrastructure_compute(config, context):\n log.info(\"### Configuring infrastructure ###\")\n comp = InfrastructureCompute(context)\n rs_address = config.get(\"datacenter\", \"rs\") \\\n if config.has_option(\"datacenter\", \"rs\") \\\n else context.getApiContext().getEndpoint().getHost()\n dc = comp.create_datacenter(config.get(\"datacenter\", \"name\"),\n config.get(\"datacenter\", \"location\"), rs_address)\n rack = comp.create_rack(dc, config.get(\"rack\", \"name\"),\n config.getint(\"rack\", \"vlan-min\"),\n config.getint(\"rack\", \"vlan-max\"),\n config.getint(\"rack\", \"nrsq\"))\n\n sections = filter(lambda s: s.startswith(\"machine\"), config.sections())\n for section in sections:\n comp.create_machine(rack,\n HypervisorType.valueOf(config.get(section, \"type\")),\n config.get(section, \"address\"),\n config.get(section, \"user\"),\n config.get(section, \"password\"),\n config.get(section, \"datastore\"),\n config.get(section, \"vswitch\"))\n return dc","def start( self ):\n while not os.path.exists( '/tmp/cloud-init.done' ):\n log.info( \"Waiting for cloud-init to finish ...\" )\n time.sleep( 1 )\n log.info( \"Starting mesosbox\" )\n self.__setup_etc_hosts( )\n self.__mount_ebs_volume( )\n self.__create_lazy_dirs( )\n\n if self.master_ip == self.node_ip:\n node_type = 'master'\n self.__publish_host_key( )\n else:\n node_type = 'slave'\n self.__get_master_host_key( )\n self.__wait_for_master_ssh( )\n if self.shared_dir:\n self._copy_dir_from_master( self.shared_dir )\n self.__prepare_slave_args( )\n\n log.info( \"Starting %s services\" % node_type )\n check_call( [ initctl, 'emit', 'mesosbox-start-%s' % node_type ] )","def services(status):\n\n run(\"sudo systemctl %s xprof.service\" % status)","def process_host(desired_host):\n \n node_list = []\n host_info_list = [] \n if desired_host == \"all\":\n desired_host_list = getAllMachines()\n else:\n desired_host_list = (subprocess.getoutput(\"qconf -shgrp_resolved \" + '@' + str(desired_host))).split()\n qstat = subprocess.getoutput('qstat -f')\n for host in desired_host_list:\n if qstat.find(host) != (-1):\n #Searches the long string for the index of the occurance of the specified host, then\n #parses it the string for just that one line with the host that we want.\n host_info_list.append((qstat[qstat.find(host):].split('\\n'))[0])\n #Start at with everything at 0, and will count up as encountered.\n total_nodes = 0\n total_cores = 0\n disabled_cores = 0\n used_cores = 0\n free_cores = 0\n empty_nodes = 0\n disabled_nodes = 0\n for host in host_info_list:\n #simply gathering info qstat spat out for us\n temp_node = Node((host.split()[0]))\n cores = host.split()[2].replace('/', ' ').split()\n host_used_cores = cores[1]\n host_total_cores = cores[2]\n if len(host.split()) == 6 and (host.split()[5] == 'd' or host.split()[5] == 'E' or \\\n host.split()[5] == 'au' or host.split()[5] == 'Eau' or host.split()[5] == 'Eqw' \\\n or host.split()[5] == 'adu'):\n temp_node.set_disabled_switch(True)\n disabled_cores += int(host_total_cores)\n total_cores += int(host_total_cores)\n disabled_nodes += 1\n else: \n temp_node.set_disabled_switch(False)\n used_cores += int(host_used_cores)\n total_cores += int(host_total_cores)\n free_cores += int(host_total_cores) - int(host_used_cores)\n if int(host_used_cores) == 0:\n empty_nodes += 1\n temp_node.set_cores(host_total_cores, host_used_cores)\n total_nodes += 1\n node_list.append(temp_node) \n \n if len(sys.argv) == 3:\n if sys.argv[2] == '--details':\n print_detailed_host(total_cores, used_cores, total_nodes, empty_nodes, desired_host, \n disabled_cores, disabled_nodes, node_list)\n elif sys.argv[2] == '-v' or sys.argv[2] == '--visual':\n draw_queue(total_nodes, total_cores, used_cores, empty_nodes, desired_host, disabled_cores, \n disabled_nodes, node_list, free_cores)\n else:\n print('Error: Arg syntax error with: ' + sys.argv[2])\n show_usage(23)\n elif sys.argv[1] == \"-qlong\":\n # Returning values from this host group to the qlong function\n return(total_cores, used_cores, total_nodes, empty_nodes, disabled_cores,disabled_nodes, node_list)\n elif len(sys.argv) < 3:\n print_host_info(total_cores, used_cores, total_nodes, empty_nodes, desired_host, disabled_cores, \n disabled_nodes)\n else:\n print('Error: Too many args')\n show_usage(23)\n return","def enhost(host):\n available = find(host,DNSMASQ_AVAILABLE)\n if not available:\n print(\"%s not found in available directory -- \" % host + DNSMASQ_AVAILABLE)\n return \n\n enabled = find(host,DNSMASQ_ENABLED)\n if enabled:\n print(\"%s is already enabled\" % host)\n return\n src = available\n dest = DNSMASQ_ENABLED + '/' + host + DNSMASQ_CFG_SUFFIX\n print(\"Linking %s to %s\" % (src,dest))\n os.symlink(src,dest)\n restart()\n listhosts()","def _configure_services(self):\n keystone_config = {\n 'admin-password': 'openstack',\n 'admin-token': 'ubuntutesting'\n }\n swift_proxy_config = {\n 'zone-assignment': 'manual',\n 'replicas': '1',\n 'swift-hash': 'fdfef9d4-8b06-11e2-8ac0-531c923c8fae'\n }\n swift_storage_config = {\n 'zone': '1',\n 'block-device': 'vdb',\n 'overwrite': 'true',\n 'ephemeral-unmount': '/mnt'\n }\n pxc_config = {\n 'innodb-buffer-pool-size': '256M',\n 'max-connections': 1000,\n }\n configs = {\n 'keystone': keystone_config,\n 'swift-proxy': swift_proxy_config,\n 'swift-storage': swift_storage_config,\n 'percona-cluster': pxc_config,\n }\n super(SwiftProxyBasicDeployment, self)._configure_services(configs)","def _configure_services(self):\n keystone_config = {\n 'admin-password': 'openstack',\n 'admin-token': 'ubuntutesting',\n }\n manila_config = {\n 'default-share-backend': 'generic',\n }\n manila_generic_config = {\n 'driver-handles-share-servers': False,\n }\n configs = {\n 'keystone': keystone_config,\n 'manila': manila_config,\n 'manila-generic': manila_generic_config,\n }\n super(ManilaPluginCharmDeployment, self)._configure_services(configs)","def cmd_enable(self, app_name=None):\n rc = self.socket_command_with_project('enable', app_name)\n return rc","def create_host(self, conf, tenant_id, network_id, params):\n\t\tpass","def start_service(self, service):\n host.service(\"start\", service)\n host.service(\"enable\", service)\n return host.service_running(service)","def enabled(name, **kwargs):\n if not available(name):\n log.error(\"Service %s not found\", name)\n return False\n\n run_file = os.path.join(SERVICE_DIR, name, \"run\")\n down_file = os.path.join(SERVICE_DIR, name, \"down\")\n\n return (\n os.path.isfile(run_file)\n and os.access(run_file, os.X_OK)\n and not os.path.isfile(down_file)\n )","def enable(self):\n if not self.tm_started:\n for name, tm in self.air_traffic_manager.items():\n logging.debug(\"Starting tm %s\" % name)\n tm.start()\n tm_started = True\n\n logging.debug(\"Enabling switch %s\" % self.name)\n self.disabled = False","def enableRemoteAccess():\n myClusterProps = redshift.describe_clusters(\n ClusterIdentifier=DWH_CLUSTER_IDENTIFIER\n )['Clusters'][0]\n\n # attempt to allow incoming TCP connections to the cluster\n print(\"Enabling incoming TCP connections...\")\n try:\n vpc = ec2.Vpc(id=myClusterProps[\"VpcId\"])\n for sg in vpc.security_groups.all():\n if sg.group_name == \"default\":\n defaultSg = sg\n break\n\n defaultSg.authorize_ingress(\n GroupName=defaultSg.group_name,\n CidrIp=CIDR_IP_ALLOWED,\n IpProtocol='TCP',\n FromPort=int(DWH_PORT),\n ToPort=int(DWH_PORT)\n )\n except Exception as e:\n print(e)\n return\n\n print(\"\\nCluster is ready for access!\")\n endpoint = myClusterProps[\"Endpoint\"][\"Address\"]\n print(f\"Endpoint: {endpoint}\")","def update_services():\n\n upload_supervisor_conf()\n upload_nginx_conf()\n upload_gunicorn_conf()","def start(verbose=False):\n\n _prepare_execution(verbose)\n _validate_components_prepared('start')\n logger.notice('Starting Cloudify Manager services...')\n for component in components:\n if not component.skip_installation:\n component.start()\n logger.notice('Cloudify Manager services successfully started!')\n _print_time()","def set_hosts(self, hypervisor_per_cluster=False):\n\n self.conf['hosts'] = set()\n\n host_patterns, host_others = self._sift_patterns(\n self.conf.get('hosts_list')\n )\n datacenter_patterns = self.conf.get('datacenter', [])\n cluster_patterns = self.conf.get('cluster', [])\n\n if host_patterns:\n self.conf['host_pattern'] = host_patterns\n\n self.conf['hosts'] = self._get_hypervisors_from_api()\n # Filter all host specified with -H\n host_filtered = set()\n if host_others:\n host_filtered = set([\n (dc, cl, h, is_spm, is_up)\n for dc, cl, h, is_spm, is_up in self.conf['hosts']\n if h in host_others\n ])\n not_found = host_others - set(host[2] for host in host_filtered)\n if not_found != set():\n # try to resolve to ip specified hosts\n for fqdn in set(not_found):\n try:\n ipaddr = socket.gethostbyname(fqdn)\n logging.debug('%s --> %s' % (fqdn, ipaddr))\n for (dc, cl, h, is_spm, is_up) in self.conf['hosts']:\n if h == ipaddr:\n host_filtered.add((dc, cl, h, is_spm, is_up))\n not_found.remove(fqdn)\n except socket.error:\n logging.warning(\n _('Cannot resolve {host}').format(\n host=fqdn,\n )\n )\n if not_found != set():\n # try to resolve to ip known hypervisors\n for (dc, cl, h, is_spm, is_up) in self.conf['hosts']:\n try:\n ipaddr = socket.gethostbyname(h)\n logging.debug('%s --> %s' % (h, ipaddr))\n if ipaddr in host_others:\n host_filtered.add((dc, cl, h, is_spm, is_up))\n not_found.remove(ipaddr)\n except socket.error:\n logging.warning(\n _('Cannot resolve {host}').format(\n host=h,\n )\n )\n if not_found != set():\n logging.error(\n _(\n 'The following host are not listed as hypervisors: '\n '{not_listed}. Known hypervisors can be listed using '\n 'the list command'\n ).format(\n not_listed=','.join(not_found)\n )\n )\n sys.exit(ExitCodes.CRITICAL)\n\n orig_hosts = self.conf['hosts'].copy()\n\n if host_patterns:\n for pattern in host_patterns:\n host_filtered |= self._filter_hosts('host', pattern)\n if host_patterns or host_others:\n self.conf['hosts'] &= host_filtered\n\n # Intersect with hosts belonging to the data centers specified with -d\n if datacenter_patterns:\n datacenter_filtered = set()\n for pattern in datacenter_patterns:\n datacenter_filtered |= self._filter_hosts(\n 'datacenter', pattern\n )\n self.conf['hosts'] &= datacenter_filtered\n\n # Intersect with hosts belonging to the clusters specified with -c\n if cluster_patterns:\n # remove all hosts that don't match the patterns\n cluster_filtered = set()\n for pattern in cluster_patterns:\n cluster_filtered |= self._filter_hosts('cluster', pattern)\n self.conf['hosts'] &= cluster_filtered\n\n # If hypervisor_per_cluster is set, collect data only from a single\n # hypervisor per cluster; if the Spm found, collect data from it.\n if hypervisor_per_cluster:\n selected_hosts = dict()\n for dc, cluster, host, is_spm, is_up in self.conf['hosts']:\n # Always add the SPM\n if is_spm:\n selected_hosts[cluster.name] = (dc, cluster, host, is_spm,\n is_up)\n # For the given cluster, if no host added yet, add it\n elif cluster.name not in selected_hosts:\n selected_hosts[cluster.name] = (dc, cluster, host, is_spm,\n is_up)\n # If a host is up and the SPM isn't added yet, add this host\n elif is_up and not selected_hosts[cluster.name][3]:\n selected_hosts[cluster.name] = (dc, cluster, host, is_spm,\n is_up)\n self.conf['hosts'] &= set(selected_hosts.values())\n\n # warn users if they are going to collect logs from all hosts.\n if orig_hosts and self.conf['hosts'] == orig_hosts:\n logging.warning(\n _(\n 'This ovirt-log-collector call will collect logs from '\n 'all available hosts. This may take long time, '\n 'depending on the size of your deployment'\n )\n )\n\n return bool(self.conf.get('hosts'))","def _PrepareHpcg(vm):\n if FLAGS.azure_infiniband:\n vm.Install('mofed')\n logging.info('Installing HPCG on %s', vm)\n vm.Install('hpcg')\n vm.AuthenticateVm()"],"string":"[\n \"def nfvi_notify_compute_host_enabled(host_uuid, host_name, host_personality,\\n callback):\\n cmd_id = _compute_plugin.invoke_plugin('notify_host_enabled',\\n host_uuid, host_name,\\n host_personality,\\n callback=callback)\\n return cmd_id\",\n \"def enable_host(self, name):\\n from soppa.local import aslocal\\n self.guest_ip = self.guest_ip()\\n self.guest_host_name = name\\n # Host (remote) change\\n self.file.set_setting('/etc/hosts', '{0} {1}'.format('127.0.0.1', self.guest_host_name))\\n # local change\\n aslocal()\\n self.file.set_setting('/etc/hosts', '{0} {1}'.format(self.guest_ip, name))\",\n \"def enable_hyperv() -> None:\\n try:\\n subprocess.check_call(\\n [\\n 'DISM',\\n '/Online',\\n '/Enable-Feature',\\n '/All',\\n '/NoRestart',\\n '/FeatureName:Microsoft-Hyper-V',\\n ]\\n )\\n except subprocess.CalledProcessError as e:\\n if e.returncode == 3010:\\n pass # This is fine, because Windows.\\n else:\\n raise\",\n \"def enable_service(service_name, start_type='auto'):\\n run_program(['sc', 'config', service_name, 'start=', start_type])\",\n \"def deploy_common_services():\\n put('./minion/*', '/etc/systemd/system', use_sudo=True)\\n sudo('source /etc/environment')\\n sudo('/opt/bin/substitute_private_ipv4.sh /etc/systemd/system/flannel.service')\\n sudo('/opt/bin/substitute_private_ipv4.sh /etc/systemd/system/kubelet.service')\\n\\n sudo('systemctl enable /etc/systemd/system/flannel.service')\\n sudo('systemctl enable /etc/systemd/system/docker.service')\\n sudo('systemctl enable /etc/systemd/system/kube-proxy.service')\\n sudo('systemctl enable /etc/systemd/system/kubelet.service')\\n\\n sudo('systemctl daemon-reload')\\n\\n sudo('systemctl start flannel')\\n sudo('systemctl start docker')\\n sudo('systemctl start kube-proxy')\\n sudo('systemctl start kubelet')\",\n \"def _create_compute_service(self, **kwargs):\\n\\n dic = {'binary': 'nova-compute', 'topic': 'compute',\\n 'report_count': 0, 'availability_zone': 'dummyzone'}\\n dic['host'] = kwargs.get('host', 'dummy')\\n s_ref = db.service_create(self.context, dic)\\n if 'created_at' in kwargs.keys() or 'updated_at' in kwargs.keys():\\n t = utils.utcnow() - datetime.timedelta(0)\\n dic['created_at'] = kwargs.get('created_at', t)\\n dic['updated_at'] = kwargs.get('updated_at', t)\\n db.service_update(self.context, s_ref['id'], dic)\\n\\n dic = {'service_id': s_ref['id'],\\n 'vcpus': 16, 'memory_mb': 32, 'local_gb': 100,\\n 'vcpus_used': 16, 'local_gb_used': 10,\\n 'hypervisor_type': 'qemu', 'hypervisor_version': 12003,\\n 'cpu_info': ''}\\n dic['memory_mb_used'] = kwargs.get('memory_mb_used', 32)\\n dic['hypervisor_type'] = kwargs.get('hypervisor_type', 'qemu')\\n dic['hypervisor_version'] = kwargs.get('hypervisor_version', 12003)\\n db.compute_node_create(self.context, dic)\\n return db.service_get(self.context, s_ref['id'])\",\n \"def setupCompute():\\n #Update /etc/hosts with mongo-server and monitoring-server\\n sudo(\\\"pip2 install chariot-runtime\\\")\\n #update configuration file located in /etc/chariot/chariot.conf\\n run(\\\"cd /etc/init.d && sudo update-rc.d chariot-nm defaults 99\\\")\\n run(\\\"cd /etc/init.d && sudo update-rc.d chariot-dm defaults 99\\\")\\n print(\\\"\\\\n after reboot check the MongoDB server for the presence of ConfigSpace database and Nodes collection. This collection should have a document each for every compute node.\\\")\\n sudo(\\\"reboot\\\")\",\n \"def enable(service_name: str, print_action: bool = True):\\n \\n if print_action:\\n print_log_status(3, f\\\"Enabling `{service_name}`\\\")\\n \\n run_command(f\\\"sudo systemctl enable {service_name}\\\")\",\n \"def nfvi_disable_compute_host_services(host_uuid, host_name, host_personality,\\n callback):\\n cmd_id = _compute_plugin.invoke_plugin('disable_host_services',\\n host_uuid, host_name,\\n host_personality,\\n callback=callback)\\n return cmd_id\",\n \"def test_reports_enabled_hosts_as_up(self):\\n compute1 = self.start_service('compute', host='host1')\\n compute2 = self.start_service('compute', host='host2')\\n hosts = self.scheduler.driver.hosts_up(self.context, 'compute')\\n self.assertEqual(2, len(hosts))\\n compute1.kill()\\n compute2.kill()\",\n \"def enable_ad():\\n for host in online_hosts:\\n with settings(warn_only=True):\\n\\n result1 = sudo(\\\"racadm5 -r \\\"+host+\\\" -u root -p \\\"+PASSWORD+\\\" config -g cfgActiveDirectory -o cfgADEnable 1\\\")\\n if result1.failed:\\n logging.error(\\\"Host: [ \\\"+host+\\\" ] : \\\" + \\\"Enabling Active Directory failed \\\")\\n\\n result2 = sudo(\\\"racadm5 -r \\\"+host+\\\" -u root -p \\\"+PASSWORD+\\\" config -g cfgActiveDirectory -o cfgADType 2\\\")\\n if result2.failed:\\n logging.error(\\\"Host: [ \\\"+host+\\\" ] : \\\" + \\\"Setting of standard schema for AD failed \\\")\",\n \"def set_host_enabled(self, host, enabled):\\n if enabled:\\n return 'enabled'\\n return 'disabled'\",\n \"def set_host_enabled(self, host, enabled):\\n if enabled:\\n return 'enabled'\\n return 'disabled'\",\n \"def enable(self):\\n # Netmiko reports enable and config mode as being enabled\\n if not self.native.check_enable_mode():\\n self.native.enable()\\n # Ensure device is not in config mode\\n if self.native.check_config_mode():\\n self.native.exit_config_mode()\\n\\n log.debug(\\\"Host %s: Device enabled.\\\", self.host)\",\n \"def enable_scheduling(topo, change_number=None):\\n succeeded = []\\n failed = []\\n error = None\\n if not topo:\\n return succeeded, failed, \\\\\\n 'Attempted re-enable hypervisors for scheduling without ' \\\\\\n 'providing a valid topology. Bailing out. Fix it!'\\n\\n # Get a list of all compute services for this cloud\\n config = topo.render('os_client_config')\\n cloud_config = config.get_one_cloud(cloud=topo.cloud.canonical_name)\\n cloud = shade.OpenStackCloud(cloud_config=cloud_config)\\n nova_client = cloud.nova_client\\n services = nova_client.services.list(binary=\\\"nova-compute\\\")\\n\\n # Find all disabled hosts that have our change_number text\\n matched_services = []\\n for service in services:\\n if service.status == 'disabled' and service.disabled_reason and \\\\\\n change_number in service.disabled_reason:\\n matched_services.append(service)\\n if not matched_services:\\n return succeeded, failed, \\\\\\n 'Did not find any disabled HVs to re-enable. skipping.'\\n\\n # Re-enable the services.\\n for service in matched_services:\\n try:\\n nova_client.services.enable(service.host, 'nova-compute')\\n succeeded.append(service.host)\\n except Exception as ex:\\n error = ex.message\\n failed.append(service.host)\\n\\n return succeeded, failed, error\",\n \"def test_doesnt_report_disabled_hosts_as_up2(self):\\n compute1 = self.start_service('compute', host='host1')\\n compute2 = self.start_service('compute', host='host2')\\n s1 = db.service_get_by_args(self.context, 'host1', 'nova-compute')\\n s2 = db.service_get_by_args(self.context, 'host2', 'nova-compute')\\n db.service_update(self.context, s1['id'], {'disabled': True})\\n db.service_update(self.context, s2['id'], {'disabled': True})\\n hosts = self.scheduler.driver.hosts_up(self.context, 'compute')\\n self.assertEqual(0, len(hosts))\\n compute1.kill()\\n compute2.kill()\",\n \"def run_services():\\n for service in (\\\"minvd\\\", \\\"httpd\\\", \\\"ntpd\\\"):\\n sudo(\\\"service %s start\\\" % service)\\n sudo(\\\"chkconfig %s on\\\" % service)\",\n \"def test_reports_enabled_hosts_as_up_no_queue(self):\\n # NOTE(vish): constructing service without create method\\n # because we are going to use it without queue\\n compute1 = service.Service('host1',\\n 'nova-compute',\\n 'compute',\\n FLAGS.compute_manager)\\n compute1.start()\\n compute2 = service.Service('host2',\\n 'nova-compute',\\n 'compute',\\n FLAGS.compute_manager)\\n compute2.start()\\n hosts = self.scheduler.driver.hosts_up(self.context, 'compute')\\n self.assertEqual(2, len(hosts))\\n compute1.kill()\\n compute2.kill()\",\n \"def enable_network_management(self):\\n self._request({\\\"enable-network-management\\\": True})\",\n \"def enable_service(self, **kwargs):\\n put_body = json.dumps(kwargs)\\n resp, body = self.put('os-services/enable', put_body)\\n body = json.loads(body)\\n self.validate_response(schema.enable_service, resp, body)\\n return rest_client.ResponseBody(resp, body)\",\n \"def service():\\n conf = template('remote/addok.service', **config)\\n put(conf, '/etc/systemd/system/addok.service')\\n systemctl('enable addok.service')\",\n \"def enable(ctx):\\n\\n config_db = ConfigDBConnector()\\n config_db.connect()\\n config_db.mod_entry(\\\"NAT_GLOBAL\\\", \\\"Values\\\", {\\\"admin_mode\\\": \\\"enabled\\\"})\",\n \"def _add_services(self):\\n this_service = {'name': 'keystone'}\\n other_services = [\\n {'name': 'percona-cluster', 'constraints': {'mem': '3072M'}},\\n {'name': 'rabbitmq-server'}, # satisfy wrkload stat\\n {'name': 'cinder'},\\n ]\\n super(KeystoneBasicDeployment, self)._add_services(this_service,\\n other_services)\",\n \"def enable_server(self, server):\\n log.info(\\\"Enabling %s in netscaler\\\", server)\\n return self.post(\\\"server?action=enable\\\", {\\\"server\\\": {\\\"name\\\": server}}, content_type=self.content_type(\\\"server\\\"))\",\n \"def keystonehost():\\n env.cd = cd\\n env.run = run\\n env.hosts = settings.HOSTS['keystone']\\n env.exists = exists\",\n \"def enable_service(self, service):\\n svc = self.service_path % service\\n ret = self.rclient.put(svc)\\n if ret.status != restclient.Status.ACCEPTED:\\n exception_msg = (_(\\\"Cannot enable %s service.\\\") % service)\\n raise exception.ShareBackendException(msg=exception_msg)\",\n \"def scp_enable(task):\\n cmd = \\\"ip scp server enable\\\"\\n task.run(task=netmiko_send_config, config_commands=cmd)\\n c_print(f\\\"*** {task.host}: SCP has been enabled ***\\\")\",\n \"def horizonhost():\\n env.cd = cd\\n env.run = run\\n env.hosts = settings.HOSTS['horizon']\\n env.exists = exists\",\n \"def enable_dns_management(self):\\n self._request({\\\"enable-dns-management\\\": True})\",\n \"def test_doesnt_report_disabled_hosts_as_up_no_queue(self):\\n # NOTE(vish): constructing service without create method\\n # because we are going to use it without queue\\n compute1 = service.Service('host1',\\n 'nova-compute',\\n 'compute',\\n FLAGS.compute_manager)\\n compute1.start()\\n compute2 = service.Service('host2',\\n 'nova-compute',\\n 'compute',\\n FLAGS.compute_manager)\\n compute2.start()\\n s1 = db.service_get_by_args(self.context, 'host1', 'nova-compute')\\n s2 = db.service_get_by_args(self.context, 'host2', 'nova-compute')\\n db.service_update(self.context, s1['id'], {'disabled': True})\\n db.service_update(self.context, s2['id'], {'disabled': True})\\n hosts = self.scheduler.driver.hosts_up(self.context, 'compute')\\n self.assertEqual(0, len(hosts))\\n compute1.kill()\\n compute2.kill()\",\n \"def set_online(rg = None):\\n if isinstance(rg, int):\\n rg = [rg]\\n\\n if rg is None:\\n _cpu.enable_all_cpu()\\n print(\\\"All CPUs enabled.\\\")\\n else:\\n for core in rg:\\n try:\\n _cpu.enable_cpu(core)\\n if _verbose:\\n print(f\\\"CPU {core} set online.\\\")\\n except:\\n print(f\\\"ERROR: An exception occurred. Check if CPU {core} exists.\\\")\",\n \"def hostsplit_service(self):\\n self.which_owner()\\n self.which_security()\\n\\n for service, value in self.service_discovery.items():\\n self.details[\\\"services\\\"][service] = self.which_service(service, **value)\",\n \"def startStorageServices():\\n sudo('/etc/init.d/tomcat6 start')\\n sudo('/etc/init.d/postgresql-8.4 start')\",\n \"def enable_cloud(self, api_key, url=None):\\n self.cloudservice.enable(api_key, url)\",\n \"def startRhevmDbRelatedServices():\\n (output, rc) = etlService.conditionalStart()\\n if rc != 0:\\n logging.warn(\\\"Failed to start rhevm-etl\\\")\\n controller.MESSAGES.append(output_messages.ERR_FAILED_START_SERVICE % \\\"rhevm-etl\\\")\\n\\n (output, rc) = notificationService.conditionalStart()\\n if rc != 0:\\n logging.warn(\\\"Failed to start rhevm-notifierd\\\")\\n controller.MESSAGES.append(output_messages.ERR_FAILED_START_SERVICE % \\\"rhevm-notifierd\\\")\",\n \"def provision_node(\\n *,\\n services: list,\\n user: str,\\n host: str,\\n identity_file: str,\\n cluster: FlintrockCluster):\\n client = get_ssh_client(\\n user=user,\\n host=host,\\n identity_file=identity_file,\\n wait=True)\\n\\n with client:\\n setup_node(\\n ssh_client=client,\\n services=services,\\n cluster=cluster)\\n for service in services:\\n service.configure(\\n ssh_client=client,\\n cluster=cluster)\",\n \"def _add_node_to_etc_hosts(self):\\n image = 'alpine:latest'\\n command = 'echo \\\"{} {} # clusterdock\\\" >> /etc/hosts'.format(self.ip_address,\\n self.fqdn)\\n volumes = {'/etc/hosts': {'bind': '/etc/hosts', 'mode': 'rw'}}\\n\\n logger.debug('Adding %s to /etc/hosts ...', self.fqdn)\\n client.containers.run(image=image,\\n command=[self.execute_shell, '-c', command],\\n volumes=volumes,\\n remove=True)\",\n \"def nfvi_notify_compute_host_disabled(host_uuid, host_name, host_personality,\\n callback):\\n cmd_id = _compute_plugin.invoke_plugin('notify_host_disabled',\\n host_uuid, host_name,\\n host_personality,\\n callback=callback)\\n return cmd_id\",\n \"def enable():\\n ret = {}\\n result = __salt__[\\\"cmd.run_all\\\"](\\n \\\"pfctl -e\\\", output_loglevel=\\\"trace\\\", python_shell=False\\n )\\n\\n if result[\\\"retcode\\\"] == 0:\\n ret = {\\\"comment\\\": \\\"pf enabled\\\", \\\"changes\\\": True}\\n else:\\n # If pf was already enabled the return code is also non-zero.\\n # Don't raise an exception in that case.\\n if result[\\\"stderr\\\"] == \\\"pfctl: pf already enabled\\\":\\n ret = {\\\"comment\\\": \\\"pf already enabled\\\", \\\"changes\\\": False}\\n else:\\n raise CommandExecutionError(\\n \\\"Could not enable pf\\\",\\n info={\\\"errors\\\": [result[\\\"stderr\\\"]], \\\"changes\\\": False},\\n )\\n\\n return ret\",\n \"def ceph_enabled(self):\",\n \"def add_host(self, hostip, username=None, password=None, fetch_iface=True):\\n username = username or self._ep_username\\n password = password or self._ep_password\\n try:\\n prep_node(hostip, username, password)\\n if not self.wait_on_host(hostip):\\n log.error(\\\"Could not start service on %s\\\", hostip)\\n if fetch_iface:\\n self.add_endpoints(hostip, username, password)\\n self.nodes.add(hostip)\\n return True\\n except Exception as err:\\n log.error(\\\"Error in preparing host %s - %r\\\", hostip, err)\\n return False\",\n \"def has_openstack_compute(labels):\\n if not labels:\\n return False\\n\\n for label in labels:\\n if label.label_key == helm_common.LABEL_COMPUTE_LABEL and label.label_value:\\n return helm_common.LABEL_VALUE_ENABLED == label.label_value.lower()\\n\\n # We haven't found the openstack compute node key. Return False\\n return False\",\n \"def EnableCPU():\\n global option\\n option['device'] = 'CPU'\",\n \"def start(self, wait_for_port=False):\\n for c in self.openstack_endpoints.values():\\n c.compute = self.compute\\n c.manage = self.manage\\n c.server_thread = threading.Thread(target=c._start_flask, args=())\\n c.server_thread.daemon = True\\n c.server_thread.name = c.__class__.__name__\\n c.server_thread.start()\\n if wait_for_port:\\n self._wait_for_port(c.ip, c.port)\",\n \"def vcpu_set(vm_hostname, count, offline=False):\\n with ExitStack() as es:\\n vm = es.enter_context(_get_vm(vm_hostname))\\n\\n if vm.dataset_obj['datacenter_type'] != 'kvm.dct':\\n raise NotImplementedError(\\n 'This operation is not yet supported for {}'.format(\\n vm.dataset_obj['datacenter_type'])\\n )\\n\\n _check_defined(vm)\\n\\n if offline and not vm.is_running():\\n log.info(\\n '\\\"{}\\\" is already powered off, ignoring --offline.'.format(\\n vm.fqdn)\\n )\\n offline = False\\n\\n if count == vm.dataset_obj['num_cpu']:\\n raise Warning('CPU count is the same.')\\n\\n if offline:\\n vm.shutdown()\\n vm.set_num_cpu(count)\\n if offline:\\n vm.start()\",\n \"def startServices():\\n # dnsmasq\\n out_dnsmasq = subprocess.run([\\\"systemctl\\\", \\\"restart\\\", \\\"dnsmasq\\\"], stdout=subprocess.PIPE)\\n if out_dnsmasq.returncode == 0:\\n logging.info(\\\"dnsmasq service started/restarted successfully\\\")\\n else:\\n logging.error(\\\"dnsmasq service start restart error\\\")\\n # 3proxy\\n out_3proxy = subprocess.run([\\\"systemctl\\\", \\\"restart\\\", \\\"3proxy\\\"], stdout=subprocess.PIPE)\\n if out_3proxy.returncode == 0:\\n logging.info(\\\"3proxy service started/restarted successfully\\\")\\n else:\\n logging.error(\\\"3proxy service start restart error\\\")\",\n \"def init_host(self, host):\\n if self._drv_nodes is None:\\n self.set_nodes([nova_conf.host])\\n args = (drv_conf.tenant_id, drv_conf.client_id, drv_conf.client_secret,\\n drv_conf.subscription_id)\\n\\n self.compute_client = utils.get_compute_client(*args)\\n self.resource_client = utils.get_resource_client(*args)\\n self.network_client = utils.get_network_client(*args)\\n is_resource_created = utils.check_resource_existence(\\n self.resource_client, drv_conf.resource_group)\\n if not is_resource_created:\\n utils.create_resource_group(\\n self.resource_client, drv_conf.resource_group, drv_conf.region)\\n\\n self.flavor_info.update(\\n utils.get_vm_sizes(self.compute_client, drv_conf.region))\\n LOG.info(\\\"%s driver init with %s project, %s region\\\" %\\n (self.name, drv_conf.tenant_id, drv_conf.region))\",\n \"def inject_hosts_files(self):\\n self.log.info(\\\"Injecting host files\\\")\\n hosts = dict()\\n for i in self.all_nodes:\\n hosts[i.name] = i.get_public_addr()\\n #add the host names to etc/hosts\\n orchestrator.inject_hostnames(hosts, delete=self.cluster_name)\\n for i in self.all_nodes:\\n i.inject_hostnames(hosts, delete=self.cluster_name)\\n self.all_nodes[0].run_command(\\\"service ganglia-monitor restart; service gmetad restart\\\", silent=True)\\n orchestrator.run_command(\\\"service ganglia-monitor restart; service gmetad restart\\\", silent=True)\",\n \"def start(services, no_auto_upgrade, anchore_module, skip_config_validate, skip_db_compat_check, all):\\n\\n global config\\n ecode = ExitCode.ok\\n\\n if not anchore_module:\\n module_name = \\\"anchore_engine\\\"\\n else:\\n module_name = str(anchore_module)\\n\\n if os.environ.get('ANCHORE_ENGINE_SKIP_DB_COMPAT_CHECK', str(skip_db_compat_check)).lower() in ['true', 't', 'y', 'yes']:\\n skip_db_compat_check = True\\n else:\\n skip_db_compat_check = False\\n\\n if services:\\n input_services = list(services)\\n else:\\n input_services = os.getenv('ANCHORE_ENGINE_SERVICES', '').strip().split()\\n\\n if not input_services and not all:\\n raise click.exceptions.BadArgumentUsage('No services defined to start. Must either provide service arguments, ANCHORE_ENGINE_SERVICES env var, or --all option')\\n\\n try:\\n validate_params = {\\n 'services': True,\\n 'webhooks': True,\\n 'credentials': True\\n }\\n if skip_config_validate:\\n try:\\n items = skip_config_validate.split(',')\\n for item in items:\\n validate_params[item] = False\\n except Exception as err:\\n raise Exception(err)\\n\\n # find/set up configuration \\n configdir = config['configdir']\\n configfile = os.path.join(configdir, \\\"config.yaml\\\")\\n\\n localconfig = None\\n if os.path.exists(configfile):\\n try:\\n localconfig = anchore_engine.configuration.localconfig.load_config(configdir=configdir, configfile=configfile, validate_params=validate_params)\\n except Exception as err:\\n raise Exception(\\\"cannot load local configuration: \\\" + str(err))\\n else:\\n raise Exception(\\\"cannot locate configuration file ({})\\\".format(configfile))\\n\\n # load the appropriate DB module\\n try:\\n logger.info(\\\"Loading DB routines from module ({})\\\".format(module_name))\\n module = importlib.import_module(module_name + \\\".db.entities.upgrade\\\")\\n except Exception as err:\\n raise Exception(\\\"Input anchore-module (\\\" + str(module_name) + \\\") cannot be found/imported - exception: \\\" + str(err))\\n\\n # get the list of local services to start\\n startFailed = False\\n if not input_services:\\n config_services = localconfig.get('services', {})\\n if not config_services:\\n logger.warn('could not find any services to execute in the config file')\\n sys.exit(1)\\n\\n input_services = [name for name, srv_conf in list(config_services.items()) if srv_conf.get('enabled')]\\n\\n services = []\\n for service_conf_name in input_services:\\n if service_conf_name in list(service_map.values()):\\n svc = service_conf_name\\n else:\\n svc = service_map.get(service_conf_name)\\n\\n if svc:\\n services.append(svc)\\n else:\\n logger.warn('specified service {} not found in list of available services {} - removing from list of services to start'.format(service_conf_name, list(service_map.keys())))\\n\\n if 'anchore-catalog' in services:\\n services.remove('anchore-catalog')\\n services.insert(0, 'anchore-catalog')\\n\\n if not services:\\n logger.error(\\\"No services found in ANCHORE_ENGINE_SERVICES or as enabled in config.yaml to start - exiting\\\")\\n sys.exit(1)\\n\\n # preflight - db checks\\n try:\\n db_params = anchore_engine.db.entities.common.get_params(localconfig)\\n\\n # override db_timeout since upgrade might require longer db session timeout setting\\n try:\\n if 'timeout' in db_params.get('db_connect_args', {}):\\n db_params['db_connect_args']['timeout'] = 86400\\n elif 'connect_timeout' in db_params.get('db_connect_args', {}):\\n db_params['db_connect_args']['connect_timeout'] = 86400\\n except Exception as err:\\n pass\\n\\n anchore_manager.util.db.connect_database(db_params, db_retries=300)\\n code_versions, db_versions = anchore_manager.util.db.init_database(upgrade_module=module, localconfig=localconfig, do_db_compatibility_check=(not skip_db_compat_check))\\n\\n in_sync = False\\n timed_out = False\\n max_timeout = 3600\\n\\n timer = time.time()\\n while not in_sync and not timed_out:\\n code_versions, db_versions = module.get_versions()\\n\\n if code_versions and db_versions:\\n if code_versions['db_version'] != db_versions['db_version']:\\n if not no_auto_upgrade and 'anchore-catalog' in services:\\n logger.info(\\\"Performing upgrade.\\\")\\n try:\\n # perform the upgrade logic here\\n rc = module.run_upgrade()\\n if rc:\\n logger.info(\\\"Upgrade completed\\\")\\n else:\\n logger.info(\\\"No upgrade necessary. Completed.\\\")\\n except Exception as err:\\n raise err\\n\\n in_sync = True\\n else:\\n logger.warn(\\n \\\"this version of anchore-engine requires the anchore DB version ({}) but we discovered anchore DB version ({}) in the running DB - it is safe to run the upgrade while seeing this message - will retry for {} more seconds.\\\".format(\\n str(code_versions['db_version']), str(db_versions['db_version']), str(max_timeout - int(time.time() - timer))))\\n time.sleep(5)\\n else:\\n logger.info(\\\"DB version and code version in sync.\\\")\\n in_sync = True\\n else:\\n logger.warn('no existing anchore DB data can be discovered, assuming bootstrap')\\n in_sync = True\\n\\n if (max_timeout - int(time.time() - timer)) < 0:\\n timed_out = True\\n\\n if not in_sync:\\n raise Exception(\\\"this version of anchore-engine requires the anchore DB version (\\\" + str(code_versions['db_version']) + \\\") but we discovered anchore DB version (\\\" + str(\\n db_versions['db_version']) + \\\") in the running DB - please perform the DB upgrade process and retry\\\")\\n\\n except Exception as err:\\n raise err\\n\\n finally:\\n rc = anchore_engine.db.entities.common.do_disconnect()\\n\\n # start up services\\n logger.info('Starting services: {}'.format(services))\\n\\n for supportdir in [\\\"/var/log/anchore\\\", \\\"/var/run/anchore\\\"]:\\n try:\\n if not os.path.exists(supportdir):\\n os.makedirs(supportdir, 0o755)\\n except Exception as err:\\n logger.error(\\\"cannot create log directory {} - exception: {}\\\".format(supportdir, str(err)))\\n raise err\\n\\n pids = []\\n keepalive_threads = []\\n for service in services:\\n pidfile = \\\"/var/run/anchore/\\\" + service + \\\".pid\\\"\\n try:\\n terminate_service(service, flush_pidfile=True)\\n\\n service_thread = ServiceThread(startup_service, (service, configdir))\\n keepalive_threads.append(service_thread)\\n max_tries = 30\\n tries = 0\\n alive = True\\n while not os.path.exists(pidfile) and tries < max_tries:\\n logger.info(\\\"waiting for service pidfile {} to exist {}/{}\\\".format(pidfile, tries, max_tries))\\n\\n try:\\n alive = service_thread.thread.is_alive()\\n except:\\n pass\\n if not alive:\\n logger.info(\\\"service thread has stopped {}\\\".format(service))\\n break\\n\\n time.sleep(1)\\n tries = tries + 1\\n\\n logger.info(\\\"auto_restart_services setting: {}\\\".format(localconfig.get('auto_restart_services', False)))\\n if not localconfig.get('auto_restart_services', False):\\n logger.info(\\\"checking for startup failure pidfile={}, is_alive={}\\\".format(os.path.exists(pidfile), alive))\\n if not os.path.exists(pidfile) or not alive:\\n raise Exception(\\\"service thread for ({}) failed to start\\\".format(service))\\n\\n time.sleep(1)\\n except Exception as err:\\n startFailed = True\\n logger.warn(\\\"service start failed - exception: {}\\\".format(str(err)))\\n break\\n\\n if startFailed:\\n logger.fatal(\\\"one or more services failed to start. cleanly terminating the others\\\")\\n for service in services:\\n terminate_service(service, flush_pidfile=True)\\n sys.exit(1)\\n else:\\n # start up the log watchers\\n try:\\n observer = Observer()\\n observer.schedule(AnchoreLogWatcher(), path=\\\"/var/log/anchore/\\\")\\n observer.start()\\n\\n try:\\n while True:\\n time.sleep(1)\\n if localconfig.get('auto_restart_services', False): # 'auto_restart_services' in localconfig and localconfig['auto_restart_services']:\\n for service_thread in keepalive_threads:\\n if not service_thread.thread.is_alive():\\n logger.info(\\\"restarting service: {}\\\".format(service_thread.thread.name))\\n service_thread.start()\\n\\n except KeyboardInterrupt:\\n observer.stop()\\n observer.join()\\n\\n except Exception as err:\\n logger.error(\\\"failed to startup log watchers - exception: {}\\\".format(str(err)))\\n raise err\\n\\n except Exception as err:\\n log_error('servicestart', err)\\n ecode = ExitCode.failed\\n\\n doexit(ecode)\",\n \"def enabled_services(self):\\n services = set()\\n if self.ce_collector_required_rpms_installed and self.htcondor_gateway_enabled:\\n services.add('condor-ce')\\n return services\",\n \"def init_host(self, **kwargs):\\n LOG.info(_LI(\\\"Starting controller service\\\"))\\n self._init_volumes(self.admin_context)\\n self._init_backups(self.admin_context)\\n self._init_replicates(self.admin_context)\\n self._init_snapshots(self.admin_context)\",\n \"def enable():\\n request = dict(id='gbn')\\n _gbn_enable(request)\",\n \"def enabled(config):\\n enable(config)\\n reload_service('apache2')\",\n \"async def on_terncy_svc_add(event):\\n dev_id = event.data[\\\"dev_id\\\"]\\n _LOGGER.info(\\\"found terncy service: %s %s\\\", dev_id, event.data)\\n host = event.data[\\\"ip\\\"]\\n if dev_id == tern.dev_id and not tern.is_connected():\\n tern.host = host\\n _LOGGER.info(\\\"start connection to %s %s\\\", dev_id, tern.host)\\n\\n hass.async_create_task(setup_terncy_loop())\",\n \"def tempest_ceph_services_tun(self):\\n self.helper_ceph_services('tun')\",\n \"def start_node(\\n *,\\n services: list,\\n user: str,\\n host: str,\\n identity_file: str,\\n cluster: FlintrockCluster):\\n ssh_client = get_ssh_client(\\n user=user,\\n host=host,\\n identity_file=identity_file,\\n wait=True)\\n\\n with ssh_client:\\n # TODO: Consider consolidating ephemeral storage code under a dedicated\\n # Flintrock service.\\n if cluster.storage_dirs.ephemeral:\\n ssh_check_output(\\n client=ssh_client,\\n command=\\\"\\\"\\\"\\n sudo chown \\\"{u}:{u}\\\" {d}\\n \\\"\\\"\\\".format(\\n u=user,\\n d=' '.join(cluster.storage_dirs.ephemeral)))\\n\\n for service in services:\\n service.configure(\\n ssh_client=ssh_client,\\n cluster=cluster)\",\n \"def _provision_node(\\n self,\\n name,\\n hostname,\\n ):\\n docker_utils.install_docker(\\n hostname=hostname,\\n ssh_port=SSH_PORT,\\n ssh_username=self.get_ssh_username(name),\\n ssh_private_key_file=self.get_ssh_private_key_file(name),\\n executor=name,\\n logger=self._logger,\\n )\",\n \"def test_service(host):\\n assert host.service('php7.0-fpm').is_enabled\\n assert host.service('php7.0-fpm').is_running\\n assert host.service('php7.2-fpm').is_enabled\\n assert host.service('php7.2-fpm').is_running\",\n \"def test_start_services(matrix, mock_host_service):\\n mock_host_service.reset_mock()\\n status = matrix.start_services()\\n mock_host_service.assert_has_calls(\\n [\\n mock.call(\\\"start\\\", matrix.synapse_service),\\n mock.call(\\\"enable\\\", matrix.synapse_service),\\n ],\\n any_order=False,\\n )\\n assert mock_host_service.call_count == 2\\n assert status is True\",\n \"def host_config(keep_defaults=False, splittx=False, splitrx=False, rss=False):\\n print(f'''\\\\n{'-'*60}\\\\n\\\\t\\\\t\\\\t\\\\tHost Optimization\\\\n{'-'*60}\\\\n''')\\n hosts = settings.getValue('HOST_DETAILS')\\n # Create object of HostConfig() to access functions\\n config_host = Host.HostConfig()\\n for host in hosts:\\n print(f' - Getting the Host current Status')\\n get_host_config(header=f\\\"Current Host Status ({host['HOST']})\\\")\\n client = HostSession.HostSession().connect(host['HOST'], host['USER'], host['PASSWORD'], False)\\n _NICS = host['NICS'].split(',')\\n logger.info(f'Getting ESXi version details')\\n ver = config_host.get_host_version(client)\\n logger.info(f'{ver}')\\n logger.info('Start applying optimizations for the specific Esxi version')\\n print(f' - Getting configuration settings from host.json')\\n print(f' - Applying the host Optimization.')\\n if ver.find('6.5') > -1:\\n logger.info('Getting configuration settings from host.json')\\n params = settings.getValue('ESXI65')\\n logger.info(f'Configuring NICS {_NICS} for driver module: {params[\\\"NIC_DRIVER\\\"]}')\\n for nic in _NICS:\\n logger.info(f'Configuring {nic}')\\n success, message = config_host.config_nic_driver(client, nic, params['NIC_DRIVER']['NAME'])\\n if eval(success):\\n logger.info(f'{nic} driver configuration success: {eval(success)}')\\n else:\\n logger.error(f'{nic} driver configuration success: {eval(success)}')\\n logger.info(f'host output: {message}')\\n HostSession.HostSession().disconnect(client)\\n return False\\n if rss:\\n logger.info(f'RSS to be enabled: {params[\\\"ENABLE_RSS\\\"]}')\\n logger.info('Configuring RSS')\\n success, message = config_host.config_rss(client, params[\\\"NIC_DRIVER\\\"]['NAME'], enable=params[\\\"ENABLE_RSS\\\"])\\n if eval(success):\\n logger.info(f'RSS configuration success : {eval(success)}')\\n else:\\n logger.info(f'RSS configuration success : {eval(success)}')\\n logger.info(f'host output: {message}')\\n HostSession.HostSession().disconnect(client)\\n return False\\n else:\\n success, message = config_host.config_rss(client, params[\\\"NIC_DRIVER\\\"]['NAME'], enable=False)\\n if eval(success):\\n logger.info(f'RSS configuration success : {eval(success)}')\\n else:\\n logger.info(f'RSS configuration success : {eval(success)}')\\n logger.info(f'host output: {message}')\\n HostSession.HostSession().disconnect(client)\\n return False\\n\\n for nic in _NICS:\\n logger.info(f'Configuring Physical NIC Ring Size as {params[\\\"NIC_BUFFER_SIZE\\\"]} on {nic}')\\n success, message = config_host.config_nic_ring_size(client, nic, params[\\\"NIC_BUFFER_SIZE\\\"][\\\"RX\\\"], params[\\\"NIC_BUFFER_SIZE\\\"][\\\"TX\\\"])\\n if eval(success):\\n logger.info(f'{nic} ring size configuration success: {eval(success)}')\\n else:\\n logger.error(f'{nic} ring size configuration success: {eval(success)}')\\n logger.info(f'host output: {message}')\\n HostSession.HostSession().disconnect(client)\\n return False\\n\\n logger.info(f'Configuring SW TX queue length as {params[\\\"SW_TX_QUEUE\\\"]}')\\n success, message = config_host.config_sw_tx_queue_size(client, params[\\\"SW_TX_QUEUE\\\"])\\n if eval(success):\\n logger.info(f'Software TX queue configuration success: {eval(success)}')\\n else:\\n logger.error(f'Software TX queue configuration success: {eval(success)}')\\n logger.info(f'host output: {message}')\\n HostSession.HostSession().disconnect(client)\\n return False\\n\\n logger.info(f'Queue Pairing to be enabled: {params[\\\"ENABLE_QUEUE_PAIRING\\\"]}')\\n success, message = config_host.config_queue_pairing(client, enable=params[\\\"ENABLE_QUEUE_PAIRING\\\"])\\n if eval(success):\\n logger.info(f'Queue Pairing configuration success: {eval(success)}')\\n else:\\n logger.info(f'Queue Pairing configuration success: {eval(success)}')\\n logger.info(f'host output: {message}')\\n HostSession.HostSession().disconnect(client)\\n return False\\n if splittx:\\n logger.info(f'Split TX mode to be enabled: {params[\\\"ENABLE_TX_SPLIT\\\"]}')\\n for nic in _NICS:\\n logger.info(f'Configuring Split TX on {nic}')\\n success, message = config_host.config_tx_split(client, nic, enable=params[\\\"ENABLE_TX_SPLIT\\\"])\\n if eval(success):\\n logger.info(\\n f'Split TX configuration success: {eval(success)}')\\n else:\\n logger.error(\\n f'Split TX configuration success: {eval(success)}')\\n logger.info(f'host output: {message}')\\n HostSession.HostSession().disconnect(client)\\n return False\\n else:\\n logger.info('Getting configuration settings from host.json')\\n params = settings.getValue('ESXI60U2')\\n logger.info(ver)\\n logger.info(f'Hyper threading enabled: {config_host.is_hyperthreading_enabled(client)}')\\n logger.info(\\n f'Configure Hyper threading: enable={params[\\\"ENABLE_HYPERTHREADING\\\"]} config success={config_host.config_hyperthreading(client, enable=params[\\\"ENABLE_HYPERTHREADING\\\"])}')\\n\\n logger.info(f'NICS {_NICS}')\\n logger.info(f'Configuring {params[\\\"NIC_DRIVER\\\"]}')\\n for nic in _NICS:\\n logger.info(\\\"{} : config={}\\\".format(nic, config_host.config_nic_driver(client, nic, params['NIC_DRIVER']['NAME'])))\\n if rss:\\n logger.info(f'RSS enabled: {config_host.verify_rss(client, params[\\\"NIC_DRIVER\\\"])}')\\n logger.info(f'Configuring RSS: enable = {params[\\\"ENABLE_RSS\\\"]} success=\\\\\\n {config_host.config_rss(client, params[\\\"NIC_DRIVER\\\"][\\\"NAME\\\"], enable=params[\\\"ENABLE_RSS\\\"])}')\\n else:\\n success, message = config_host.config_rss(client, params[\\\"NIC_DRIVER\\\"]['NAME'], enable=False)\\n if eval(success):\\n logger.info(f'RSS configuration success : {eval(success)}')\\n else:\\n logger.info(f'RSS configuration success : {eval(success)}')\\n logger.info(f'host output: {message}')\\n HostSession.HostSession().disconnect(client)\\n return False\\n\\n for nic in _NICS:\\n logger.info(f'Configuring Physical NIC Ring Size as {params[\\\"NIC_BUFFER_SIZE\\\"]} on {nic} : \\\\\\n isSet = {config_host.verify_nic_ring_size(client, nic, params[\\\"NIC_BUFFER_SIZE\\\"][\\\"RX\\\"], params[\\\"NIC_BUFFER_SIZE\\\"][\\\"TX\\\"])} : \\\\\\n config success={config_host.config_nic_ring_size(client, nic, params[\\\"NIC_BUFFER_SIZE\\\"][\\\"RX\\\"], params[\\\"NIC_BUFFER_SIZE\\\"][\\\"TX\\\"])} ')\\n\\n logger.info(f'Configuring SW TX queue length as {params[\\\"SW_TX_QUEUE\\\"]}: isSet={config_host.verify_sw_tx_queue_size(client, params[\\\"SW_TX_QUEUE\\\"])} \\\\\\n : config success = {config_host.config_sw_tx_queue_size(client, params[\\\"SW_TX_QUEUE\\\"])}')\\n\\n logger.info(f'Configuring Queue Pairing enabled ={params[\\\"ENABLE_QUEUE_PAIRING\\\"]}: isEnabled={config_host.is_queue_pairing_enabled(client)} \\\\\\n : config success = {config_host.config_queue_pairing(client, enable=params[\\\"ENABLE_QUEUE_PAIRING\\\"])}')\\n if splittx:\\n for nic in _NICS:\\n logger.info(f'Configuring Split TX mode ={params[\\\"ENABLE_TX_SPLIT\\\"]}: isEnabled={config_host.is_tx_split_enabled(client, nic)}\\\\\\n : config success = {config_host.config_tx_split(client, nic, enable=params[\\\"ENABLE_TX_SPLIT\\\"])}')\\n print(f' - Getting the Host Status after Optimizations')\\n get_host_config(header=f\\\"Post Host Optimization ({host['HOST']})\\\")\\n HostSession.HostSession().disconnect(client)\\n return True\",\n \"def enable_hdfs_ha(nodes, hdfs, zk_name, name_service='HDFS-HA'):\\n logging.info(\\\"Setup HDFS HA and Redundancy\\\")\\n nn_name = get_role_name(hdfs, \\\"NAMENODE\\\")\\n second_nn_node = get_role_vm(nodes, hdfs, get_role_name(hdfs, \\\"SECONDARYNAMENODE\\\"))\\n if nn_name and second_nn_node:\\n wait_on_success(hdfs.enable_nn_ha(nn_name, second_nn_node['id'], name_service, [], None, None, None, None, None, zk_name))\",\n \"def enable():\\n configdb = ConfigDBConnector()\\n configdb.connect()\\n tunnel_info = {}\\n tunnel_info['FLEX_COUNTER_STATUS'] = ENABLE\\n configdb.mod_entry(\\\"FLEX_COUNTER_TABLE\\\", \\\"TUNNEL\\\", tunnel_info)\",\n \"def enabled_on_host() -> Callable[[Loader.ModInfo], bool]:\\n def filter_fn(mod_info: Loader.ModInfo) -> bool:\\n if len(mod_info.mod_def.hostnames) == 0:\\n return True\\n\\n if HOSTNAME not in mod_info.mod_def.hostnames:\\n _LOG.info(\\n f\\\"{mod_info.mod_def.name} is not enabled for host {HOSTNAME}\\\"\\n )\\n return False\\n return True\\n\\n return filter_fn\",\n \"async def start_all(self):\\n try:\\n for service in self.services:\\n try:\\n await service.start()\\n await service.healthcheck()\\n except Exception as e:\\n log.exception(\\\"Exception while starting %s service\\\", service)\\n raise ServiceStartupException from e\\n self.started_services.append(service)\\n except ServiceStartupException:\\n log.error(\\\"Stopping services on startup failure\\\")\\n await self.stop_all()\\n raise\",\n \"def enable():\\n configdb = ConfigDBConnector()\\n configdb.connect()\\n port_info = {}\\n port_info['FLEX_COUNTER_STATUS'] = 'enable'\\n configdb.mod_entry(\\\"FLEX_COUNTER_TABLE\\\", \\\"PORT\\\", port_info)\",\n \"def set_management_ssh(enabled=True, deploy=False):\\n\\n if enabled is True:\\n value = \\\"no\\\"\\n elif enabled is False:\\n value = \\\"yes\\\"\\n else:\\n raise CommandExecutionError(\\n \\\"Invalid option provided for service enabled option.\\\"\\n )\\n\\n ret = {}\\n\\n query = {\\n \\\"type\\\": \\\"config\\\",\\n \\\"action\\\": \\\"set\\\",\\n \\\"xpath\\\": \\\"/config/devices/entry[@name='localhost.localdomain']/deviceconfig/system/service\\\",\\n \\\"element\\\": \\\"<disable-ssh>{}</disable-ssh>\\\".format(value),\\n }\\n\\n ret.update(__proxy__[\\\"panos.call\\\"](query))\\n\\n if deploy is True:\\n ret.update(commit())\\n\\n return ret\",\n \"def index(self, req):\\n LOG.info(\\\"List all the nova-compute hosts in the system\\\")\\n ctxt = req.environ['nova.context']\\n authorize(ctxt)\\n LOG.debug(\\\"%s - %s\\\", req.environ, req.body)\\n services = dbapi.service_get_all_compute_sorted(ctxt)\\n # services looks like (Service(object), Decimal('0'))\\n # must convert from Decimal('0') to int() because no JSON repr\\n hosts = [{'name':srv[0].host,\\n 'instanceCount':int(srv[1])}\\n for srv in services]\\n return {'hosts': hosts}\",\n \"def _add_services(self):\\n # Services and relations which are present merely to satisfy\\n # required_interfaces and workload status are not inspected.\\n # Fix me. Inspect those too.\\n this_service = {'name': 'neutron-openvswitch'}\\n other_services = [\\n {'name': 'nova-compute'},\\n {'name': 'nova-cloud-controller'},\\n {'name': 'rabbitmq-server'},\\n {'name': 'keystone'},\\n {'name': 'glance'},\\n {'name': 'neutron-api'},\\n self.get_percona_service_entry(),\\n ]\\n if self._get_openstack_release() >= self.bionic_train:\\n other_services.append({'name': 'placement'})\\n super(NeutronOVSBasicDeployment, self)._add_services(this_service,\\n other_services)\",\n \"def enable_services_for_household(self, household_id, services):\\n root_url = \\\"/upm/households/{household_id}/enabledServices\\\".format(household_id=household_id)\\n headers = {\\\"Source-ID\\\": \\\"PCT\\\", \\\"Source-Type\\\": \\\"PCT\\\"}\\n payload = services\\n\\n enable_services_for_household_response, http_code = self.request(root_url, headers=headers, json=payload)\\n\\n return enable_services_for_household_response, http_code\",\n \"def _startedComputePartition(self, compute_node_id, compute_partition_id):\\n instance = self._getSoftwareInstanceForComputePartition(\\n compute_node_id,\\n compute_partition_id)\\n \\n instance.setAccessStatus(\\n 'Instance correctly started', \\\"started\\\", reindex=1)\",\n \"def configure_host_ips(h3, h4, ip_address_hs):\\n\\n h3.libs.ip.flush_ip('eth1')\\n h3.libs.ip.interface('eth1', up=False)\\n\\n h4.libs.ip.flush_ip('eth1')\\n h4.libs.ip.interface('eth1', up=False)\\n\\n h3.libs.ip.interface(portlbl='eth1', addr=\\\"{}/{}\\\".format(\\n ip_address_hs[0], MASK), up=True)\\n h4.libs.ip.interface(portlbl='eth1', addr=\\\"{}/{}\\\".format(\\n ip_address_hs[1], MASK), up=True)\",\n \"def _configure_services(self):\\n neutron_ovs_config = {}\\n neutron_ovs_config['enable-sriov'] = True\\n neutron_ovs_config['sriov-device-mappings'] = 'physnet42:eth42'\\n\\n pxc_config = {\\n 'dataset-size': '25%',\\n 'max-connections': 1000,\\n 'root-password': 'ChangeMe123',\\n 'sst-password': 'ChangeMe123',\\n }\\n nova_cc_config = {'network-manager': 'Neutron'}\\n configs = {\\n 'neutron-openvswitch': neutron_ovs_config,\\n 'percona-cluster': pxc_config,\\n 'nova-cloud-controller': nova_cc_config,\\n }\\n super(NeutronOVSBasicDeployment, self)._configure_services(configs)\",\n \"def _install(self, host):\\n pass\",\n \"def setup_node(\\n *,\\n # Change this to take host, user, and identity_file?\\n # Add some kind of caching for SSH connections so that they\\n # can be looked up by host and reused?\\n ssh_client: paramiko.client.SSHClient,\\n services: list,\\n cluster: FlintrockCluster):\\n host = ssh_client.get_transport().getpeername()[0]\\n ssh_check_output(\\n client=ssh_client,\\n command=\\\"\\\"\\\"\\n set -e\\n\\n echo {private_key} > \\\"$HOME/.ssh/id_rsa\\\"\\n echo {public_key} >> \\\"$HOME/.ssh/authorized_keys\\\"\\n\\n chmod 400 \\\"$HOME/.ssh/id_rsa\\\"\\n \\\"\\\"\\\".format(\\n private_key=shlex.quote(cluster.ssh_key_pair.private),\\n public_key=shlex.quote(cluster.ssh_key_pair.public)))\\n\\n with ssh_client.open_sftp() as sftp:\\n sftp.put(\\n localpath=os.path.join(SCRIPTS_DIR, 'setup-ephemeral-storage.py'),\\n remotepath='/tmp/setup-ephemeral-storage.py')\\n\\n logger.info(\\\"[{h}] Configuring ephemeral storage...\\\".format(h=host))\\n # TODO: Print some kind of warning if storage is large, since formatting\\n # will take several minutes (~4 minutes for 2TB).\\n storage_dirs_raw = ssh_check_output(\\n client=ssh_client,\\n command=\\\"\\\"\\\"\\n set -e\\n python /tmp/setup-ephemeral-storage.py\\n rm -f /tmp/setup-ephemeral-storage.py\\n \\\"\\\"\\\")\\n storage_dirs = json.loads(storage_dirs_raw)\\n\\n cluster.storage_dirs.root = storage_dirs['root']\\n cluster.storage_dirs.ephemeral = storage_dirs['ephemeral']\\n\\n ensure_java8(ssh_client)\\n\\n for service in services:\\n service.install(\\n ssh_client=ssh_client,\\n cluster=cluster)\",\n \"def enable_tkg(**kwargs):\\n vmc_url = kwargs['strProdURL']\\n auth_flag = kwargs['oauth']\\n org_id = kwargs['ORG_ID']\\n sddc_id = kwargs['SDDC_ID']\\n session_token = kwargs['sessiontoken']\\n egress_cidr = kwargs['egress_cidr']\\n ingress_cidr = kwargs['ingress_cidr']\\n namespace_cidr = kwargs['namespace_cidr']\\n service_cidr = kwargs['service_cidr']\\n\\n cluster_id = get_sddc_cluster1_id(vmc_url, session_token, org_id, sddc_id)\\n json_body = {\\n \\\"egress_cidr\\\": [egress_cidr],\\n \\\"ingress_cidr\\\": [ingress_cidr],\\n \\\"namespace_cidr\\\": [namespace_cidr],\\n \\\"service_cidr\\\": service_cidr\\n }\\n #Validate Cluster-1 in the SDDC will supported TKG\\n print(\\\"Validating cluster for TKG...\\\")\\n cluster_val_id = tkg_validate_cluster_json(vmc_url, org_id, sddc_id, cluster_id, session_token)\\n ctask_params={'task_id':cluster_val_id,'ORG_ID':org_id,'strProdURL':vmc_url, 'sessiontoken':session_token, 'oauth':auth_flag, 'verbose':False}\\n get_task_status(**ctask_params)\\n\\n #Validate the supplied CIDRs are valid for TKG\\n print(\\\"Validatin CIDR ranges for TKG...\\\")\\n network_val_id = tkg_validate_network_json(vmc_url, session_token, org_id, sddc_id, cluster_id, json_body)\\n ntask_params={'task_id':network_val_id,'ORG_ID':org_id,'strProdURL':vmc_url, 'sessiontoken':session_token, 'oauth':auth_flag, 'verbose':False}\\n get_task_status(**ntask_params)\\n\\n #Enable TKG on the SDDC\\n print(\\\"Enabling TKG on cluster-1\\\")\\n tkg_val_id = enable_tkg_json(vmc_url, session_token, org_id, sddc_id, cluster_id, json_body)\\n ttask_params={'task_id':tkg_val_id,'ORG_ID':org_id,'strProdURL':vmc_url, 'sessiontoken':session_token, 'oauth':auth_flag, 'verbose':False}\\n get_task_status(**ttask_params)\\n sys.exit(\\\"TKG has been enabled\\\")\",\n \"def all_hosts(*args, **kwargs):\\n return True\",\n \"def testEnableGcloudServices(self, mock_run):\\n mock_run.return_value = \\\"\\\"\\n self.gcp_env_runner._EnableGcloudServices(self.gcloud_runner)\\n mock_run.assert_has_calls([\\n mock.call([\\\"gcloud\\\", \\\"services\\\", \\\"enable\\\",\\n gcp_setup_runner._ANDROID_BUILD_SERVICE],\\n env=self.gcloud_runner._env, stderr=-2),\\n mock.call([\\\"gcloud\\\", \\\"services\\\", \\\"enable\\\",\\n gcp_setup_runner._COMPUTE_ENGINE_SERVICE],\\n env=self.gcloud_runner._env, stderr=-2)])\",\n \"def set_management_icmp(enabled=True, deploy=False):\\n\\n if enabled is True:\\n value = \\\"no\\\"\\n elif enabled is False:\\n value = \\\"yes\\\"\\n else:\\n raise CommandExecutionError(\\n \\\"Invalid option provided for service enabled option.\\\"\\n )\\n\\n ret = {}\\n\\n query = {\\n \\\"type\\\": \\\"config\\\",\\n \\\"action\\\": \\\"set\\\",\\n \\\"xpath\\\": \\\"/config/devices/entry[@name='localhost.localdomain']/deviceconfig/system/service\\\",\\n \\\"element\\\": \\\"<disable-icmp>{}</disable-icmp>\\\".format(value),\\n }\\n\\n ret.update(__proxy__[\\\"panos.call\\\"](query))\\n\\n if deploy is True:\\n ret.update(commit())\\n\\n return ret\",\n \"def enable_load_balancer_management(self):\\n self._request({\\\"enable-load-balancer-management\\\": True})\",\n \"def set_management_http(enabled=True, deploy=False):\\n\\n if enabled is True:\\n value = \\\"no\\\"\\n elif enabled is False:\\n value = \\\"yes\\\"\\n else:\\n raise CommandExecutionError(\\n \\\"Invalid option provided for service enabled option.\\\"\\n )\\n\\n ret = {}\\n\\n query = {\\n \\\"type\\\": \\\"config\\\",\\n \\\"action\\\": \\\"set\\\",\\n \\\"xpath\\\": \\\"/config/devices/entry[@name='localhost.localdomain']/deviceconfig/system/service\\\",\\n \\\"element\\\": \\\"<disable-http>{}</disable-http>\\\".format(value),\\n }\\n\\n ret.update(__proxy__[\\\"panos.call\\\"](query))\\n\\n if deploy is True:\\n ret.update(commit())\\n\\n return ret\",\n \"def _configure_services(self):\\n keystone_config = {\\n 'admin-password': 'openstack',\\n 'admin-token': 'ubuntutesting',\\n 'preferred-api-version': self.keystone_api_version,\\n }\\n\\n if self.git:\\n amulet_http_proxy = os.environ.get('AMULET_HTTP_PROXY')\\n\\n reqs_repo = 'git://github.com/openstack/requirements'\\n keystone_repo = 'git://github.com/openstack/keystone'\\n if self._get_openstack_release() == self.trusty_icehouse:\\n reqs_repo = 'git://github.com/coreycb/requirements'\\n keystone_repo = 'git://github.com/coreycb/keystone'\\n\\n branch = 'stable/' + self._get_openstack_release_string()\\n\\n openstack_origin_git = {\\n 'repositories': [\\n {'name': 'requirements',\\n 'repository': reqs_repo,\\n 'branch': branch},\\n {'name': 'keystone',\\n 'repository': keystone_repo,\\n 'branch': branch},\\n ],\\n 'directory': '/mnt/openstack-git',\\n 'http_proxy': amulet_http_proxy,\\n 'https_proxy': amulet_http_proxy,\\n }\\n keystone_config['openstack-origin-git'] = \\\\\\n yaml.dump(openstack_origin_git)\\n\\n pxc_config = {\\n 'dataset-size': '25%',\\n 'max-connections': 1000,\\n 'root-password': 'ChangeMe123',\\n 'sst-password': 'ChangeMe123',\\n }\\n cinder_config = {\\n 'block-device': 'None',\\n }\\n configs = {\\n 'keystone': keystone_config,\\n 'percona-cluster': pxc_config,\\n 'cinder': cinder_config,\\n }\\n super(KeystoneBasicDeployment, self)._configure_services(configs)\",\n \"def check_if_host_disabled(self, host, binary='nova-compute'):\\n _service_id = self._find_service_id_by_host(host, binary)\\n if _service_id:\\n _ser = self._client.services.find(id=_service_id)\\n if _ser.status == u'enabled':\\n return False\\n elif _ser.status == u'disabled':\\n return True\\n else:\\n return False\",\n \"def power_on(self):\\n for vm in self.vms:\\n try:\\n vm.name = \\\"%s_%s\\\" % (self.resource_pool, vm.name)\\n vm.power_on(manager=self.manager)\\n except:\\n self.logger.error(\\\"Error with VM '%s'\\\" % vm.name)\\n raise\",\n \"def create_infrastructure_compute(config, context):\\n log.info(\\\"### Configuring infrastructure ###\\\")\\n comp = InfrastructureCompute(context)\\n rs_address = config.get(\\\"datacenter\\\", \\\"rs\\\") \\\\\\n if config.has_option(\\\"datacenter\\\", \\\"rs\\\") \\\\\\n else context.getApiContext().getEndpoint().getHost()\\n dc = comp.create_datacenter(config.get(\\\"datacenter\\\", \\\"name\\\"),\\n config.get(\\\"datacenter\\\", \\\"location\\\"), rs_address)\\n rack = comp.create_rack(dc, config.get(\\\"rack\\\", \\\"name\\\"),\\n config.getint(\\\"rack\\\", \\\"vlan-min\\\"),\\n config.getint(\\\"rack\\\", \\\"vlan-max\\\"),\\n config.getint(\\\"rack\\\", \\\"nrsq\\\"))\\n\\n sections = filter(lambda s: s.startswith(\\\"machine\\\"), config.sections())\\n for section in sections:\\n comp.create_machine(rack,\\n HypervisorType.valueOf(config.get(section, \\\"type\\\")),\\n config.get(section, \\\"address\\\"),\\n config.get(section, \\\"user\\\"),\\n config.get(section, \\\"password\\\"),\\n config.get(section, \\\"datastore\\\"),\\n config.get(section, \\\"vswitch\\\"))\\n return dc\",\n \"def start( self ):\\n while not os.path.exists( '/tmp/cloud-init.done' ):\\n log.info( \\\"Waiting for cloud-init to finish ...\\\" )\\n time.sleep( 1 )\\n log.info( \\\"Starting mesosbox\\\" )\\n self.__setup_etc_hosts( )\\n self.__mount_ebs_volume( )\\n self.__create_lazy_dirs( )\\n\\n if self.master_ip == self.node_ip:\\n node_type = 'master'\\n self.__publish_host_key( )\\n else:\\n node_type = 'slave'\\n self.__get_master_host_key( )\\n self.__wait_for_master_ssh( )\\n if self.shared_dir:\\n self._copy_dir_from_master( self.shared_dir )\\n self.__prepare_slave_args( )\\n\\n log.info( \\\"Starting %s services\\\" % node_type )\\n check_call( [ initctl, 'emit', 'mesosbox-start-%s' % node_type ] )\",\n \"def services(status):\\n\\n run(\\\"sudo systemctl %s xprof.service\\\" % status)\",\n \"def process_host(desired_host):\\n \\n node_list = []\\n host_info_list = [] \\n if desired_host == \\\"all\\\":\\n desired_host_list = getAllMachines()\\n else:\\n desired_host_list = (subprocess.getoutput(\\\"qconf -shgrp_resolved \\\" + '@' + str(desired_host))).split()\\n qstat = subprocess.getoutput('qstat -f')\\n for host in desired_host_list:\\n if qstat.find(host) != (-1):\\n #Searches the long string for the index of the occurance of the specified host, then\\n #parses it the string for just that one line with the host that we want.\\n host_info_list.append((qstat[qstat.find(host):].split('\\\\n'))[0])\\n #Start at with everything at 0, and will count up as encountered.\\n total_nodes = 0\\n total_cores = 0\\n disabled_cores = 0\\n used_cores = 0\\n free_cores = 0\\n empty_nodes = 0\\n disabled_nodes = 0\\n for host in host_info_list:\\n #simply gathering info qstat spat out for us\\n temp_node = Node((host.split()[0]))\\n cores = host.split()[2].replace('/', ' ').split()\\n host_used_cores = cores[1]\\n host_total_cores = cores[2]\\n if len(host.split()) == 6 and (host.split()[5] == 'd' or host.split()[5] == 'E' or \\\\\\n host.split()[5] == 'au' or host.split()[5] == 'Eau' or host.split()[5] == 'Eqw' \\\\\\n or host.split()[5] == 'adu'):\\n temp_node.set_disabled_switch(True)\\n disabled_cores += int(host_total_cores)\\n total_cores += int(host_total_cores)\\n disabled_nodes += 1\\n else: \\n temp_node.set_disabled_switch(False)\\n used_cores += int(host_used_cores)\\n total_cores += int(host_total_cores)\\n free_cores += int(host_total_cores) - int(host_used_cores)\\n if int(host_used_cores) == 0:\\n empty_nodes += 1\\n temp_node.set_cores(host_total_cores, host_used_cores)\\n total_nodes += 1\\n node_list.append(temp_node) \\n \\n if len(sys.argv) == 3:\\n if sys.argv[2] == '--details':\\n print_detailed_host(total_cores, used_cores, total_nodes, empty_nodes, desired_host, \\n disabled_cores, disabled_nodes, node_list)\\n elif sys.argv[2] == '-v' or sys.argv[2] == '--visual':\\n draw_queue(total_nodes, total_cores, used_cores, empty_nodes, desired_host, disabled_cores, \\n disabled_nodes, node_list, free_cores)\\n else:\\n print('Error: Arg syntax error with: ' + sys.argv[2])\\n show_usage(23)\\n elif sys.argv[1] == \\\"-qlong\\\":\\n # Returning values from this host group to the qlong function\\n return(total_cores, used_cores, total_nodes, empty_nodes, disabled_cores,disabled_nodes, node_list)\\n elif len(sys.argv) < 3:\\n print_host_info(total_cores, used_cores, total_nodes, empty_nodes, desired_host, disabled_cores, \\n disabled_nodes)\\n else:\\n print('Error: Too many args')\\n show_usage(23)\\n return\",\n \"def enhost(host):\\n available = find(host,DNSMASQ_AVAILABLE)\\n if not available:\\n print(\\\"%s not found in available directory -- \\\" % host + DNSMASQ_AVAILABLE)\\n return \\n\\n enabled = find(host,DNSMASQ_ENABLED)\\n if enabled:\\n print(\\\"%s is already enabled\\\" % host)\\n return\\n src = available\\n dest = DNSMASQ_ENABLED + '/' + host + DNSMASQ_CFG_SUFFIX\\n print(\\\"Linking %s to %s\\\" % (src,dest))\\n os.symlink(src,dest)\\n restart()\\n listhosts()\",\n \"def _configure_services(self):\\n keystone_config = {\\n 'admin-password': 'openstack',\\n 'admin-token': 'ubuntutesting'\\n }\\n swift_proxy_config = {\\n 'zone-assignment': 'manual',\\n 'replicas': '1',\\n 'swift-hash': 'fdfef9d4-8b06-11e2-8ac0-531c923c8fae'\\n }\\n swift_storage_config = {\\n 'zone': '1',\\n 'block-device': 'vdb',\\n 'overwrite': 'true',\\n 'ephemeral-unmount': '/mnt'\\n }\\n pxc_config = {\\n 'innodb-buffer-pool-size': '256M',\\n 'max-connections': 1000,\\n }\\n configs = {\\n 'keystone': keystone_config,\\n 'swift-proxy': swift_proxy_config,\\n 'swift-storage': swift_storage_config,\\n 'percona-cluster': pxc_config,\\n }\\n super(SwiftProxyBasicDeployment, self)._configure_services(configs)\",\n \"def _configure_services(self):\\n keystone_config = {\\n 'admin-password': 'openstack',\\n 'admin-token': 'ubuntutesting',\\n }\\n manila_config = {\\n 'default-share-backend': 'generic',\\n }\\n manila_generic_config = {\\n 'driver-handles-share-servers': False,\\n }\\n configs = {\\n 'keystone': keystone_config,\\n 'manila': manila_config,\\n 'manila-generic': manila_generic_config,\\n }\\n super(ManilaPluginCharmDeployment, self)._configure_services(configs)\",\n \"def cmd_enable(self, app_name=None):\\n rc = self.socket_command_with_project('enable', app_name)\\n return rc\",\n \"def create_host(self, conf, tenant_id, network_id, params):\\n\\t\\tpass\",\n \"def start_service(self, service):\\n host.service(\\\"start\\\", service)\\n host.service(\\\"enable\\\", service)\\n return host.service_running(service)\",\n \"def enabled(name, **kwargs):\\n if not available(name):\\n log.error(\\\"Service %s not found\\\", name)\\n return False\\n\\n run_file = os.path.join(SERVICE_DIR, name, \\\"run\\\")\\n down_file = os.path.join(SERVICE_DIR, name, \\\"down\\\")\\n\\n return (\\n os.path.isfile(run_file)\\n and os.access(run_file, os.X_OK)\\n and not os.path.isfile(down_file)\\n )\",\n \"def enable(self):\\n if not self.tm_started:\\n for name, tm in self.air_traffic_manager.items():\\n logging.debug(\\\"Starting tm %s\\\" % name)\\n tm.start()\\n tm_started = True\\n\\n logging.debug(\\\"Enabling switch %s\\\" % self.name)\\n self.disabled = False\",\n \"def enableRemoteAccess():\\n myClusterProps = redshift.describe_clusters(\\n ClusterIdentifier=DWH_CLUSTER_IDENTIFIER\\n )['Clusters'][0]\\n\\n # attempt to allow incoming TCP connections to the cluster\\n print(\\\"Enabling incoming TCP connections...\\\")\\n try:\\n vpc = ec2.Vpc(id=myClusterProps[\\\"VpcId\\\"])\\n for sg in vpc.security_groups.all():\\n if sg.group_name == \\\"default\\\":\\n defaultSg = sg\\n break\\n\\n defaultSg.authorize_ingress(\\n GroupName=defaultSg.group_name,\\n CidrIp=CIDR_IP_ALLOWED,\\n IpProtocol='TCP',\\n FromPort=int(DWH_PORT),\\n ToPort=int(DWH_PORT)\\n )\\n except Exception as e:\\n print(e)\\n return\\n\\n print(\\\"\\\\nCluster is ready for access!\\\")\\n endpoint = myClusterProps[\\\"Endpoint\\\"][\\\"Address\\\"]\\n print(f\\\"Endpoint: {endpoint}\\\")\",\n \"def update_services():\\n\\n upload_supervisor_conf()\\n upload_nginx_conf()\\n upload_gunicorn_conf()\",\n \"def start(verbose=False):\\n\\n _prepare_execution(verbose)\\n _validate_components_prepared('start')\\n logger.notice('Starting Cloudify Manager services...')\\n for component in components:\\n if not component.skip_installation:\\n component.start()\\n logger.notice('Cloudify Manager services successfully started!')\\n _print_time()\",\n \"def set_hosts(self, hypervisor_per_cluster=False):\\n\\n self.conf['hosts'] = set()\\n\\n host_patterns, host_others = self._sift_patterns(\\n self.conf.get('hosts_list')\\n )\\n datacenter_patterns = self.conf.get('datacenter', [])\\n cluster_patterns = self.conf.get('cluster', [])\\n\\n if host_patterns:\\n self.conf['host_pattern'] = host_patterns\\n\\n self.conf['hosts'] = self._get_hypervisors_from_api()\\n # Filter all host specified with -H\\n host_filtered = set()\\n if host_others:\\n host_filtered = set([\\n (dc, cl, h, is_spm, is_up)\\n for dc, cl, h, is_spm, is_up in self.conf['hosts']\\n if h in host_others\\n ])\\n not_found = host_others - set(host[2] for host in host_filtered)\\n if not_found != set():\\n # try to resolve to ip specified hosts\\n for fqdn in set(not_found):\\n try:\\n ipaddr = socket.gethostbyname(fqdn)\\n logging.debug('%s --> %s' % (fqdn, ipaddr))\\n for (dc, cl, h, is_spm, is_up) in self.conf['hosts']:\\n if h == ipaddr:\\n host_filtered.add((dc, cl, h, is_spm, is_up))\\n not_found.remove(fqdn)\\n except socket.error:\\n logging.warning(\\n _('Cannot resolve {host}').format(\\n host=fqdn,\\n )\\n )\\n if not_found != set():\\n # try to resolve to ip known hypervisors\\n for (dc, cl, h, is_spm, is_up) in self.conf['hosts']:\\n try:\\n ipaddr = socket.gethostbyname(h)\\n logging.debug('%s --> %s' % (h, ipaddr))\\n if ipaddr in host_others:\\n host_filtered.add((dc, cl, h, is_spm, is_up))\\n not_found.remove(ipaddr)\\n except socket.error:\\n logging.warning(\\n _('Cannot resolve {host}').format(\\n host=h,\\n )\\n )\\n if not_found != set():\\n logging.error(\\n _(\\n 'The following host are not listed as hypervisors: '\\n '{not_listed}. Known hypervisors can be listed using '\\n 'the list command'\\n ).format(\\n not_listed=','.join(not_found)\\n )\\n )\\n sys.exit(ExitCodes.CRITICAL)\\n\\n orig_hosts = self.conf['hosts'].copy()\\n\\n if host_patterns:\\n for pattern in host_patterns:\\n host_filtered |= self._filter_hosts('host', pattern)\\n if host_patterns or host_others:\\n self.conf['hosts'] &= host_filtered\\n\\n # Intersect with hosts belonging to the data centers specified with -d\\n if datacenter_patterns:\\n datacenter_filtered = set()\\n for pattern in datacenter_patterns:\\n datacenter_filtered |= self._filter_hosts(\\n 'datacenter', pattern\\n )\\n self.conf['hosts'] &= datacenter_filtered\\n\\n # Intersect with hosts belonging to the clusters specified with -c\\n if cluster_patterns:\\n # remove all hosts that don't match the patterns\\n cluster_filtered = set()\\n for pattern in cluster_patterns:\\n cluster_filtered |= self._filter_hosts('cluster', pattern)\\n self.conf['hosts'] &= cluster_filtered\\n\\n # If hypervisor_per_cluster is set, collect data only from a single\\n # hypervisor per cluster; if the Spm found, collect data from it.\\n if hypervisor_per_cluster:\\n selected_hosts = dict()\\n for dc, cluster, host, is_spm, is_up in self.conf['hosts']:\\n # Always add the SPM\\n if is_spm:\\n selected_hosts[cluster.name] = (dc, cluster, host, is_spm,\\n is_up)\\n # For the given cluster, if no host added yet, add it\\n elif cluster.name not in selected_hosts:\\n selected_hosts[cluster.name] = (dc, cluster, host, is_spm,\\n is_up)\\n # If a host is up and the SPM isn't added yet, add this host\\n elif is_up and not selected_hosts[cluster.name][3]:\\n selected_hosts[cluster.name] = (dc, cluster, host, is_spm,\\n is_up)\\n self.conf['hosts'] &= set(selected_hosts.values())\\n\\n # warn users if they are going to collect logs from all hosts.\\n if orig_hosts and self.conf['hosts'] == orig_hosts:\\n logging.warning(\\n _(\\n 'This ovirt-log-collector call will collect logs from '\\n 'all available hosts. This may take long time, '\\n 'depending on the size of your deployment'\\n )\\n )\\n\\n return bool(self.conf.get('hosts'))\",\n \"def _PrepareHpcg(vm):\\n if FLAGS.azure_infiniband:\\n vm.Install('mofed')\\n logging.info('Installing HPCG on %s', vm)\\n vm.Install('hpcg')\\n vm.AuthenticateVm()\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.63588804","0.63349974","0.6177922","0.6154969","0.61493015","0.606561","0.6054695","0.6049442","0.60288525","0.6004999","0.59542507","0.58375365","0.58375365","0.5803038","0.57903194","0.5772306","0.56935096","0.567679","0.5676517","0.56693524","0.56370294","0.5602592","0.5580821","0.55650777","0.5561792","0.5523349","0.5505773","0.5490049","0.5472197","0.5435728","0.541268","0.5409222","0.5391613","0.5390611","0.53825533","0.5354218","0.53502965","0.5345384","0.534211","0.533698","0.5336717","0.5332867","0.53279996","0.53258497","0.5323092","0.5301962","0.52969915","0.5296802","0.52950966","0.5290053","0.52887607","0.52821493","0.52818996","0.5271479","0.5245417","0.5230969","0.5230476","0.52296066","0.5220732","0.51805526","0.51739717","0.5172004","0.51668954","0.51592904","0.515867","0.5127539","0.51206934","0.5120306","0.51127386","0.5104796","0.50993586","0.5081338","0.508012","0.5073296","0.5067444","0.5066519","0.5065987","0.5057873","0.5053754","0.504662","0.5041028","0.5035796","0.50340444","0.50255483","0.5002882","0.49964088","0.4995605","0.49937427","0.49925488","0.49913165","0.49893424","0.49799383","0.49770987","0.49753055","0.49743196","0.49660474","0.49651363","0.4962407","0.49542084","0.4950366"],"string":"[\n \"0.63588804\",\n \"0.63349974\",\n \"0.6177922\",\n \"0.6154969\",\n \"0.61493015\",\n \"0.606561\",\n \"0.6054695\",\n \"0.6049442\",\n \"0.60288525\",\n \"0.6004999\",\n \"0.59542507\",\n \"0.58375365\",\n \"0.58375365\",\n \"0.5803038\",\n \"0.57903194\",\n \"0.5772306\",\n \"0.56935096\",\n \"0.567679\",\n \"0.5676517\",\n \"0.56693524\",\n \"0.56370294\",\n \"0.5602592\",\n \"0.5580821\",\n \"0.55650777\",\n \"0.5561792\",\n \"0.5523349\",\n \"0.5505773\",\n \"0.5490049\",\n \"0.5472197\",\n \"0.5435728\",\n \"0.541268\",\n \"0.5409222\",\n \"0.5391613\",\n \"0.5390611\",\n \"0.53825533\",\n \"0.5354218\",\n \"0.53502965\",\n \"0.5345384\",\n \"0.534211\",\n \"0.533698\",\n \"0.5336717\",\n \"0.5332867\",\n \"0.53279996\",\n \"0.53258497\",\n \"0.5323092\",\n \"0.5301962\",\n \"0.52969915\",\n \"0.5296802\",\n \"0.52950966\",\n \"0.5290053\",\n \"0.52887607\",\n \"0.52821493\",\n \"0.52818996\",\n \"0.5271479\",\n \"0.5245417\",\n \"0.5230969\",\n \"0.5230476\",\n \"0.52296066\",\n \"0.5220732\",\n \"0.51805526\",\n \"0.51739717\",\n \"0.5172004\",\n \"0.51668954\",\n \"0.51592904\",\n \"0.515867\",\n \"0.5127539\",\n \"0.51206934\",\n \"0.5120306\",\n \"0.51127386\",\n \"0.5104796\",\n \"0.50993586\",\n \"0.5081338\",\n \"0.508012\",\n \"0.5073296\",\n \"0.5067444\",\n \"0.5066519\",\n \"0.5065987\",\n \"0.5057873\",\n \"0.5053754\",\n \"0.504662\",\n \"0.5041028\",\n \"0.5035796\",\n \"0.50340444\",\n \"0.50255483\",\n \"0.5002882\",\n \"0.49964088\",\n \"0.4995605\",\n \"0.49937427\",\n \"0.49925488\",\n \"0.49913165\",\n \"0.49893424\",\n \"0.49799383\",\n \"0.49770987\",\n \"0.49753055\",\n \"0.49743196\",\n \"0.49660474\",\n \"0.49651363\",\n \"0.4962407\",\n \"0.49542084\",\n \"0.4950366\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.78876954"},"document_rank":{"kind":"string","value":"0"}}},{"rowIdx":20490,"cells":{"query":{"kind":"string","value":"Initialize the NFVI compute package"},"document":{"kind":"string","value":"def nfvi_compute_initialize(config, pool):\n global _compute_plugin\n\n if _compute_plugin is None:\n _compute_plugin = NFVIComputePlugin(config['namespace'], pool)\n if _compute_plugin.ready_to_initialize(config['config_file']):\n _compute_plugin.initialize(config['config_file'])\n return True\n else:\n return False"},"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 initialize(self):\n self.initialize_edges()\n self.initialize_prob()\n self.initialize_total_input_dict()\n\n self.initialize_fpmusigv_dict()","def main():\n run_nutanix_vm_creation_module()","def __init__(self, nvim):\n self.nvim = nvim","def __init__(self,compute_core):\n self.compute_core = compute_core","def __init__(self, *args):\n _snap.PNEANetV_swiginit(self, _snap.new_PNEANetV(*args))","def __init__(self, UI):\n super(COTDeployESXi, self).__init__(UI)\n self.datastore = None\n \"\"\"ESXi datastore to deploy to.\"\"\"\n self.host = None\n \"\"\"vSphere host to deploy to - set implicitly by self.locator.\"\"\"\n self.server = None\n \"\"\"vCenter server or vSphere host - set implicitly by self.locator.\"\"\"\n self._locator = None\n self._ovftool_args = []\n\n self.ovftool = OVFTool()","def initialise(self):\n self.sc.init.exec_action(self.variables)","def __init__(self):\n self.svclassifier = SVC(kernel='linear')","def init():\n rino.initialize.initialize()","def __init__(self, *args, **kwargs):\n self.license_file = None\n self.license_env_var = None\n\n self.home_subdir = os.path.join(os.getenv('HOME'), 'intel')\n common_tmp_dir = os.path.dirname(tempfile.gettempdir()) # common tmp directory, same across nodes\n self.home_subdir_local = os.path.join(common_tmp_dir, os.getenv('USER'), 'easybuild_intel')\n\n super(IntelBase, self).__init__(*args, **kwargs)\n\n # prepare (local) 'intel' home subdir\n self.setup_local_home_subdir()\n self.clean_home_subdir()","def __init__(self):\n self._lib_vscf_ecc = VscfEcc()\n self._c_impl = None\n self._ctx = None\n self.ctx = self._lib_vscf_ecc.vscf_ecc_new()","def initialize(self):\n \n casalog.origin(\"ParallelDataHelper\")\n\n # self._arg is populated inside ParallelTaskHelper._init_()\n self._arg['vis'] = os.path.abspath(self._arg['vis'])\n # MPI setting\n if self._mpi_cluster:\n self._cluster.start_services()\n \n if (self._arg['outputvis'] != \"\"):\n self._arg['outputvis'] = os.path.abspath(self._arg['outputvis']) \n\n outputPath, self.outputBase = os.path.split(self._arg['outputvis'])\n try:\n if self.outputBase[-1] == '.':\n self.outputBase = self.outputBase[:self.outputBase.rindex('.')]\n except ValueError:\n # outputBase must not have a trailing .\n pass\n\n if self.outputBase == '.' or self.outputBase == './':\n raise ValueError, 'Error dealing with outputvis'\n \n # The subMS are first saved inside a temporary directory\n self.dataDir = outputPath + '/' + self.outputBase+'.data'\n if os.path.exists(self.dataDir): \n shutil.rmtree(self.dataDir)\n\n os.mkdir(self.dataDir)","def __init__(self, ni, nj, nk):\n \n self.ni = ni\n self.nj = nj\n self.nk = nk\n \n self.nn = np.zeros(3)\n \n self.nn[0] = self.ni\n self.nn[1] = self.nj\n self.nn[2] = self.nk\n \n self.x0 = np.zeros(3)\n self.dh = np.zeros(3)\n self.xm = np.zeros(3)\n self.xc = np.zeros(3)\n \n self.EPS_0 = 8.85418782e-12\n self.QE = 1.602176565e-19;\n self.AMU = 1.660538921e-27\n self.ME = 9.10938215e-31;\n self.K = 1.380648e-23;\n self.EvToK = self.QE/self.K;\n \n self.phi = np.zeros((self.ni, self.nj, self.nk))\n self.phi_new = np.zeros((self.ni, self.nj, self.nk))\n self.R = np.zeros((self.ni, self.nj, self.nk))\n self.rho = np.zeros((self.ni, self.nj, self.nk))\n self.node_vol = np.zeros((self.ni, self.nj, self.nk))\n self.ef = np.zeros((self.ni, self.nj, self.nk, 3))","def init(self, attrs):\n\n self.name = attrs[\"name\"]\n self.file_path = attrs.get(\"file\", \"pod.yaml\")\n\n self.nodes, self.nfvi_host, self.host_mgmt = \\\n self.helper.parse_pod_file(self.file_path, 'OvsDpdk')\n\n self.attrs = attrs\n self.vm_flavor = attrs.get('flavor', {})\n self.servers = attrs.get('servers', {})\n self.vm_deploy = attrs.get(\"vm_deploy\", True)\n self.ovs_properties = attrs.get('ovs_properties', {})\n # add optional static network definition\n self.networks = attrs.get(\"networks\", {})\n\n LOG.debug(\"Nodes: %r\", self.nodes)\n LOG.debug(\"NFVi Node: %r\", self.nfvi_host)\n LOG.debug(\"Networks: %r\", self.networks)","def initialize_project():\n # Initialize work flow\n wk_flow = vdapi.VDriveAPI('VULCAN')\n archive_root = '/SNS/VULCAN'\n if os.path.exists(archive_root) is False:\n archive_root = None\n wk_flow.set_data_root_directory(archive_root)\n wk_flow.set_working_directory('~/Temp/VDriveTest/')\n\n # Set to my_data\n my_data.set(wk_flow)\n\n return","def __init__(self, compute, project, zone=None, region=None):\n pass","def _initialize_fembv_varx(X, n_components, init='random',\n u=None, memory=0, random_state=None):\n if init is None:\n init = 'random'\n\n if init == 'random':\n return _initialize_fembv_varx_random(\n X, n_components, u=u, memory=memory, random_state=random_state)\n else:\n raise ValueError(\n 'Invalid init parameter: got %r instead of one of %r' %\n (init, FEMBV_VARX_INITIALIZATION_METHODS))","def __init__(self):\n super().__init__()\n import sklearn\n import sklearn.svm\n self.model = sklearn.svm.NuSVR","def nfvi_compute_finalize():\n if _compute_plugin is not None:\n _compute_plugin.finalize()","def __init__(self):\r\n\r\n self.Helpers = Helpers(\"Movidius\")\r\n self.confs = self.Helpers.confs\r\n\r\n self.classes = []\r\n self.ncsGraph = None\r\n self.ncsDevice = None\r\n self.reqsize = None\r\n\r\n self.mean = 128\r\n self.std = 1 / 128\r\n\r\n #mvnc.SetGlobalOption(mvnc.GlobalOption.LOG_LEVEL, 2)\r\n\r\n self.Helpers.logger.info(\"Movidius class initialization complete.\")","def __init__(self):\n self.update_os_packages()\n self.upgrade_os_packages()","def initialize(self):\n self.write_model(path=PATH.GRAD, suffix='new')\n\n if PAR.RANDOM_OVER_IT or optimize.iter == 1:\n self.get_random_frequencies()\n\n print('Generating synthetics')\n system.run('solver', 'eval_func',\n hosts='all',\n path=PATH.GRAD)\n\n self.write_misfit(path=PATH.GRAD, suffix='new')","def __initialize__(self):\n self.initialized = True\n if self.ids_to_consider is None:\n self.V_tot = np.sum(self.V[self.p_ids-1])\n else:\n self.V_tot = np.sum(self.V[self.ids_to_consider-1])\n return","def __init__(self):\n \n self.load_PSF_data()","def __init__ (self) :\n self.loadCSPAD2x2CalibParsDefault()","def _init_gpf(self):\n raise NotImplementedError('Abstract Method')","def __init__(self, osi, fy, e0, a, n):\n self.osi = osi\n self.fy = float(fy)\n self.e0 = float(e0)\n self.a = float(a)\n self.n = float(n)\n if osi is not None:\n osi.n_mat += 1\n self._tag = osi.n_mat\n self._parameters = [self.op_type, self._tag, self.fy, self.e0, self.a, self.n]\n if osi is None:\n self.built = 0\n if osi is not None:\n self.to_process(osi)","def __init__( self ):\n self.NQ = 16\n self.Nbranches = 3\n self.NatomsUC = 1\n self.dim = 3\n self.QVectors = np.zeros( ( self.NQ , 3 ) )\n self.MakeQVectors()\n self.EigenVectors = np.zeros( [ self.NQ , \n self.Nbranches ,\n self.NatomsUC , \n self.dim ] )\n self.MakeEigenVectors()","def init():\n safe_call(backend.get().af_init())","def init_vars():\n\tda_vinci.base.usepackage(\"pgfkeys\")\n\tda_vinci.base.add_preamble(setup_script)","def __init__(self, *args):\n _snap.TFltIntPrV_swiginit(self, _snap.new_TFltIntPrV(*args))","def __init__(self, *args):\n _snap.TMMNetCrossNetI_swiginit(self, _snap.new_TMMNetCrossNetI(*args))","def __init__(self):\n\t\tself.config_file = \"c:/test-av/conf/vmware.conf\"\n\t\tself.conf = Config(self.config_file)\n\t\t#\n\t\t# you can redefine the Command class providing vmrun full path:\n\t\t# self.cmd = Command(\"vmrun full path\")\n\t\t#\n\t\t# TODO:\n\t\t#\t- Command class with one argument\n\t\tself.cmd = Command(self.conf.path, self.conf.host, self.conf.user, self.conf.passwd)\n\t\t\n\t\t# full paths of script neede for update\n\t\tself.netENScript=\"c:/Users/avtest/Desktop/EnableIF.bat\"\n\t\tself.netDISScript=\"c:/Users/avtest/Desktop/DisableIF.bat\"\n\t\tself.updScript=\"C:/Users/avtest/Desktop/AVUpdate.bat\"","def init():\n \n # General parameters\n vect_path = '/home/laura/Documents/STAGE3/outputVectorisation_1705_new_invert/output_60_70/' # graphs directory\n csv_path = '/home/laura/Documents/STAGE3/outputVectorisation_1705_new_invert/output_60_70/tracking3/nodes_for_tracking.csv' # csv file \n dest_path = '/home/laura/Documents/STAGE3/outputVectorisation_1705_new_invert/output_60_70/tracking3/' # output directory\n verbose = True\n main_params = [vect_path, csv_path, dest_path, verbose]\n \n # Linking parameters\n createCSV = True \n forced_matching = True\n search_range = 10\n memory = 3\n adaptive_stop = 5 \n link_params = [createCSV, forced_matching, search_range, memory, \n adaptive_stop]\n \n # Tracking check parameters\n check = True # True to create a check image\n img_path = '/home/laura/Documents/STAGE3/outputVectorisation_1705_new_invert/output_60_70/tracking2/MosaicTest_t070.jpg' # image file on which to draw\n size = 1 # size of the nodes drawing\n check_params = [check, img_path, size]\n \n return main_params, link_params, check_params","def __init__(self, *args):\n _snap.TNEANetAFltI_swiginit(self, _snap.new_TNEANetAFltI(*args))","def init(self):\r\n self._parse_options(self._force_args)\r\n self._maybe_daemonize()\r\n self._setup_modules()\r\n self._state = self.INITIALIZED","def __init__(self, *args):\n _snap.TFltIntPrKdV_swiginit(self, _snap.new_TFltIntPrKdV(*args))","def __init__(self, *args):\n _ITKCostFunctionsPython.itkSingleValuedVnlCostFunctionAdaptor_swiginit(self,_ITKCostFunctionsPython.new_itkSingleValuedVnlCostFunctionAdaptor(*args))","def __init__(self):\n torch.nn.Module.__init__(self)\n # Convolution and pooling layers of VGG-16.\n self.features = torchvision.models.vgg16(pretrained=True).features\n self.features = torch.nn.Sequential(*list(self.features.children())\n [:-1]) # Remove pool5.\n # Linear classifier.\n self.fc = torch.nn.Linear(512**2, 36)","def __init__(self, *args):\n _snap.TFltPrV_swiginit(self, _snap.new_TFltPrV(*args))","def initialise_process(param):\n \n if self._initialisation_process == 'xavier_uniform':\n tnni.xavier_uniform_(param.data)\n elif self._initialisation_process == 'xavier_normal':\n tnni.xavier_normal_(param.data)\n elif self._initialisation_process == 'kaiming_uniform':\n tnni.kaiming_uniform_(param.data)\n elif self._initialisation_process == 'kaiming_normal':\n tnni.kaiming_normal_(param.data)","def __init__(self, osi, fy, fu, es, esh, eps_sh, eps_ult, cf, alpha_2, cd):\n self.osi = osi\n self.fy = float(fy)\n self.fu = float(fu)\n self.es = float(es)\n self.esh = float(esh)\n self.eps_sh = float(eps_sh)\n self.eps_ult = float(eps_ult)\n self.cf = float(cf)\n self.alpha_2 = alpha_2\n self.cd = float(cd)\n if osi is not None:\n osi.n_mat += 1\n self._tag = osi.n_mat\n self._parameters = [self.op_type, self._tag, self.fy, self.fu, self.es, self.esh, self.eps_sh, self.eps_ult, '-CMFatigue', self.cf, self.alpha_2, self.cd]\n if osi is None:\n self.built = 0\n if osi is not None:\n self.to_process(osi)","def initialisation(self):\n self.create_variables()\n self.create_placeholders()\n self.build_model()\n self.reset_lr(None, True)\n self.build_loss()\n self.initialised = True","def __init__(self, project):\n super(NovaExtractor, self).__init__(project)\n\n self.nova = self._get_nova_client()\n self.glance = self._get_glance_client()\n self.neutron = self._get_neutron_client()\n\n self.flavors = self._get_flavors()\n self.images = self._get_images()","def init():\n\n banner(\"init\")\n with show(\"output\"):\n if not env.get('no_apt_update'):\n sudo('apt-get update')\n\n require.directory(env.path, mode=\"777\", use_sudo=True)\n require.directory('/var/run/%s' % env.project_name, owner='www-data', group='www-data', mode='770', use_sudo=True)\n require.directory('/var/log/%s' % env.project_name, owner='www-data', group='www-data', mode='770', use_sudo=True)\n require.directory('/var/log/supervisord/', owner='www-data', group='www-data', mode='770', use_sudo=True)\n require.directory('/var/run/supervisord/', owner='www-data', group='www-data', mode='770', use_sudo=True)\n\n require.deb.packages([\n 'gcc', 'python-all-dev', 'libpq-dev', 'libjpeg-dev', 'libxml2-dev', 'libxslt1-dev', 'libmysqlclient-dev',\n 'libfreetype6-dev', 'libevent-dev', 'supervisor'\n ])\n require.python.pip(version=\"1.0\")\n\n new_virtualenv()\n\n me = run('whoami')\n sudo('adduser %s www-data' % me)\n\n install_nginx()\n\n if env.mysql:\n require.mysql.server(password=env.mysql_password)\n with settings(mysql_user='root', mysql_password=env.mysql_password):\n require.mysql.user(env.mysql_username, env.mysql_password)\n require.mysql.database(env.mysql_dbname, owner=env.mysql_username)","def __init__(self, verbose):\n self.modules = maus_cpp.globals.get_monte_carlo_mice_modules()\n self.verbose = verbose","def main(args):\n\n\t##############################################################################\n\t######## Pass user command line arguments to setup.py which will #############\n\t############# initialise some parameters for the analysis ###################\n\t##############################################################################\n\tinit_ = setup.initialise_user_input(args)\n\n\t##############################################################################\n\t######## Define system_ which is the object, of class nanoCISC, ##############\n\t######## which contains all relevant information about your nanoparticle ####\n\t##############################################################################\n\tsystem_ = nano_cisc.nanoCISC(init_.nano_particle, init_.anchors, init_.beta, init_.calcrange, \n init_.curves, init_.targetinc, init_.density) \n\t# initialise system_ as nanoCISC class here ^^^\n\n\t# If density is being calculated, define grid from grid class\n\tif args['density']:\n\t\tgrid=grids.grid(system_)\n\n\n\t##############################################################################\n\t################ Process trajectory, frame by frame ##########################\n\t##############################################################################\n\n\tfor ts in init_.u.trajectory: # loop through trajectory frames here \n\t\tprint \"Processing snapshot %d \" % (ts.frame)\n\n\t\t# Array for calculating intrinsic density is initialised to {0}\n\t\tintrinsic_count=np.zeros( ( np.ceil( 3 * system_.calculation_range).astype(np.int) ,len(system_.density) ), dtype = np.float32) \n\n\t\t# Array that stores the instantaneous volume of each spatial interval is initialised to {0}\n\t\tvolume_at_dist=np.zeros( ( np.ceil( 3 * system_.calculation_range).astype(np.int) ,len(system_.density) ), dtype = np.float32) \n\n\t\t# Centre of mass position is updated\n\t\tsystem_.update_com()\n\n\t\t# Vectors describing the anchor points are updated \n\t\tsystem_.update_anchors() \n\n\t\t# Nanoparticle depth values are updated\n\t\tsystem_.update_surface() \t\n\n\t\tif args['XYZsurface']:\n\t\t\tsystem_.write_surface(init_.f_visualise_surface) # write micelle surface to xyz file\n \n \t\tif args['density']: \n \t\t\tgrid.update_volume_estimate(volume_at_dist, system_) # volume estimate is updated for snapshot\n\t\t\tsystem_.calculate_density(intrinsic_count, volume_at_dist) # calculate density here\n\n\t\tsystem_.frames_processed += 1\n\n\t##################################\n\t##### Print results to files #####\n\t##################################\n\tif args['density']:\n\t\tsystem_.print_intrinsic_density(init_.f_intrinsic_density_out)\n\t\tsystem_.print_radial_density()\n\n\n\tprint \"Program finished successfully!!!\\n\"","def __init__(self):\r\n\r\n #480p 2.39:1 720x302\r\n #2048x2048 is more than 7.3GB of vRAM for the Master DISC model\r\n\r\n #Loading the preprocessed data\r\n preprocessVars = Preprocess()\r\n\r\n #The training and display of the trained models\r\n self.modelTrain = train.Train(preprocessVars)\r\n self.disp = display.Display(preprocessVars)","def _init_cluster(self):\n self._Init_Cluster()","def _init_env_variables(self):\n raise NotImplementedError()","def _init_env_variables(self):\n raise NotImplementedError()","def _init_env_variables(self):\n raise NotImplementedError()","def _init_env_variables(self):\n raise NotImplementedError()","def _init_env_variables(self):\n raise NotImplementedError()","def _init_env_variables(self):\n raise NotImplementedError()","def init_host(self, host):\n if self._drv_nodes is None:\n self.set_nodes([nova_conf.host])\n args = (drv_conf.tenant_id, drv_conf.client_id, drv_conf.client_secret,\n drv_conf.subscription_id)\n\n self.compute_client = utils.get_compute_client(*args)\n self.resource_client = utils.get_resource_client(*args)\n self.network_client = utils.get_network_client(*args)\n is_resource_created = utils.check_resource_existence(\n self.resource_client, drv_conf.resource_group)\n if not is_resource_created:\n utils.create_resource_group(\n self.resource_client, drv_conf.resource_group, drv_conf.region)\n\n self.flavor_info.update(\n utils.get_vm_sizes(self.compute_client, drv_conf.region))\n LOG.info(\"%s driver init with %s project, %s region\" %\n (self.name, drv_conf.tenant_id, drv_conf.region))","def __init__(self):\r\n torch.nn.Module.__init__(self)\r\n # Convolution and pooling layers of VGG-16.\r\n self.features = torchvision.models.vgg19_bn(pretrained=False).features\r\n self.features = torch.nn.Sequential(*list(self.features.children())\r\n [:-1]) # Remove pool5.\r\n # Linear classifier.\r\n self.fc = torch.nn.Linear(512**2, 11)","def __init__(self, *args):\n _snap.TModeNetNodeI_swiginit(self, _snap.new_TModeNetNodeI(*args))","def initialize():\n\n parser = build_arg_parser()\n par = parser.parse_known_args()[0]\n\n # Main arguments.\n set('run_mode', par.run_mode)\n set('input_files', par.image)\n\n # Sub-parser specific arguments.\n if par.run_mode == 'train':\n\n set('batch_size', par.batch_size)\n set('drop', par.drop)\n set('epochs', par.epochs)\n set('model', par.model)\n set('level', par.level)\n set('vfrac', par.vfrac)\n set('data_augm', par.data_augm)\n set('summary', par.summary)\n set('outdir', par.outdir)\n # Parameters associated with super-resolution. \n set('super_resolution', par.super_resolution)\n set('generator', par.generator)\n set('discriminator', par.discriminator)\n\n elif par.run_mode == 'predict':\n\n set('tile_edge', par.edge)\n set('model', par.model)\n set('save_conv2d_kernels', par.save_conv2d_kernels) \n set('save_conv2d_outputs', par.save_conv2d_outputs) \n set('colormap', par.colormap)\n # Parameters associated with super-resolution. \n set('super_resolution', par.super_resolution)\n set('generator', par.generator)\n\n elif par.run_mode == 'diagnose': \n \n set('model', par.model) \n \n else:\n \n pass","def init():","def __init__(self, *args):\n _snap.TCrossNetAFltI_swiginit(self, _snap.new_TCrossNetAFltI(*args))","def __init__(self, foundVariables, trainingData, trainingClasses, trainingWeights, testingData, testingClasses):\n self.clf = svm.SVC(probability=True)\n self.foundVariables = foundVariables\n self.trainingData = trainingData\n self.trainingClasses = trainingClasses\n self.testingData = testingData\n self.testingClasses = testingClasses\n self.trainingWeights = trainingWeights","def init():\n return _nfc.init()","def initialise(self, args, environ):","def initialise(self):","def __init__(self, *args):\n _snap.TFltVVV_swiginit(self, _snap.new_TFltVVV(*args))","def init():\n pass","def __init__(self, *args):\n _snap.TFltVFltV_swiginit(self, _snap.new_TFltVFltV(*args))","def __init__(self, *args):\n _ITKCostFunctionsPython.itkMultipleValuedVnlCostFunctionAdaptor_swiginit(self,_ITKCostFunctionsPython.new_itkMultipleValuedVnlCostFunctionAdaptor(*args))","def __init__(self):\n self.model_description: Dict[str, Any] = get_model_description()\n self.model_name: str = self.model_description['name']\n self.model_version: str = self.model_description['version']\n\n # Make sure we do not have a trailing slash to muck up processing later.\n self.event_dir: Optional[str] = None\n self.zone_name: Optional[str] = None\n self.fault_time: Optional[str] = None\n\n self.example: Example = None\n self.validator: ExampleValidator = ExampleValidator()\n self.common_features_df: pd.DataFrame = None\n\n self.cavity_onnx_session: rt.InferenceSession = rt.InferenceSession(os.path.join(os.path.dirname(__file__),\n 'model_files',\n 'cavity_model.onnx'))\n self.fault_onnx_session: rt.InferenceSession = rt.InferenceSession(os.path.join(os.path.dirname(__file__),\n 'model_files',\n 'fault_model.onnx'))","def initialize(self, node: MComputeNode):\n raise Exception(\"Subclass responsibility\")","def init():\n\tN = np.int32(DIM) #prepare for stitching\n\t#HII_DIM = np.int32(HII_DIM)\n\tf_pixel_factor = DIM/HII_DIM;\n\tscale = np.float32(BOX_LEN)/DIM\n\tHII_scale = np.float32(BOX_LEN)/HII_DIM\n\tshape = (N,N,N)\n\t\n\tMRGgen = MRG32k3aRandomNumberGenerator(seed_getter=seed_getter_uniform, offset=0)\n\n\tkernel_source = open(cmd_folder+\"/initialize.cu\").read()\n\tkernel_code = kernel_source % {\n\n\t\t'DELTAK': DELTA_K,\n\t\t'VOLUME': VOLUME,\n\t\t'DIM': DIM\n\t}\n\tmain_module = nvcc.SourceModule(kernel_code)\n\tinit_kernel = main_module.get_function(\"init_kernel\")\n\tHII_filter = main_module.get_function(\"HII_filter\")\n\tadj_complex_conj = main_module.get_function(\"adj_complex_conj\")\n\tsubsample_kernel = main_module.get_function(\"subsample\")\n\tvelocity_kernel = main_module.get_function(\"set_velocity\")\n\tpspec_texture = main_module.get_texref(\"pspec\")\n\n\tinterpPspec, interpSize = init_pspec() #interpPspec contains both k array and P array\n\tinterp_cu = cuda.matrix_to_array(interpPspec, order='F')\n\tcuda.bind_array_to_texref(interp_cu, pspec_texture)\n\n\tlargebox_d = gpuarray.zeros(shape, dtype=np.float32)\n\tinit_kernel(largebox_d, np.int32(DIM), block=block_size, grid=grid_size)\n\n\t#import IPython; IPython.embed()\n\tlargebox_d_imag = gpuarray.zeros(shape, dtype=np.float32)\n\tinit_kernel(largebox_d_imag, np.int32(DIM), block=block_size, grid=grid_size)\n\n\tlargebox_d *= MRGgen.gen_normal(shape, dtype=np.float32)\n\tlargebox_d_imag *= MRGgen.gen_normal(shape, dtype=np.float32)\n\tlargebox_d = largebox_d + np.complex64(1.j) * largebox_d_imag\n\n\t#adj_complex_conj(largebox_d, DIM, block=block_size, grid=grid_size)\n\tlargebox = largebox_d.get()\n\t#np.save(parent_folder+\"/Boxes/deltak_z0.00_{0:d}_{1:.0f}Mpc\".format(DIM, BOX_LEN), largebox)\n\n\t#save real space box before smoothing\n\tplan = Plan(shape, dtype=np.complex64)\n\tplan.execute(largebox_d, inverse=True) #FFT to real space of smoothed box\n\tlargebox_d /= scale**3\n\tnp.save(parent_folder+\"/Boxes/deltax_z0.00_{0:d}_{1:.0f}Mpc\".format(DIM, BOX_LEN), largebox_d.real.get_async())\n\n\t#save real space box after smoothing and subsampling\n\t# host largebox is still in k space, no need to reload from disk\n\tlargebox_d = gpuarray.to_gpu(largebox)\n\tsmoothR = np.float32(L_FACTOR*BOX_LEN/HII_DIM)\n\tHII_filter(largebox_d, N, ZERO, smoothR, block=block_size, grid=grid_size);\n\tplan.execute(largebox_d, inverse=True) #FFT to real space of smoothed box\n\tlargebox_d /= scale**3\n\tsmallbox_d = gpuarray.zeros(HII_shape, dtype=np.float32)\n\tsubsample_kernel(largebox_d.real, smallbox_d, N, HII_DIM, PIXEL_FACTOR, block=block_size, grid=HII_grid_size) #subsample in real space\n\tnp.save(parent_folder+\"/Boxes/smoothed_deltax_z0.00_{0:d}_{1:.0f}Mpc\".format(HII_DIM, BOX_LEN), smallbox_d.get_async())\n\n\t# reload the k-space box for velocity boxes\n\tlargebox_d = gpuarray.to_gpu(largebox)\n\t\n\t#largebox_d /= VOLUME #divide by VOLUME if using fft (vs ifft)\n\tsmoothR = np.float32(L_FACTOR*BOX_LEN/HII_DIM)\n\tlargevbox_d = gpuarray.zeros((DIM,DIM,DIM), dtype=np.complex64)\n\tsmallbox_d = gpuarray.zeros(HII_shape, dtype=np.float32)\n\tfor num, mode in enumerate(['x', 'y', 'z']):\n\t\tvelocity_kernel(largebox_d, largevbox_d, DIM, np.int32(num), block=block_size, grid=grid_size)\n\t\tHII_filter(largevbox_d, DIM, ZERO, smoothR, block=block_size, grid=grid_size)\n\t\tplan.execute(largevbox_d, inverse=True)\n\t\tlargevbox_d /= scale**3\n\t\t#import IPython; IPython.embed()\n\t\tsubsample_kernel(largevbox_d.real, smallbox_d, DIM, HII_DIM,PIXEL_FACTOR, block=block_size, grid=HII_grid_size)\n\t\tnp.save(parent_folder+\"/Boxes/v{0}overddot_{1:d}_{2:.0f}Mpc\".format(mode, HII_DIM, BOX_LEN), smallbox_d.get())\n\n\treturn","def main():\n obj = VplexStorageview()\n obj.perform_module_operation()","def __init__(self):\n self.nodes = 0\n self.procs = 0\n self.disk = 0\n self.memory = 0","def init_compute_clients(self):\n\n print \"\\t* instantiating clients\"\n # instantiate nova client\n self.gen_nova_client()\n\n # instantiate neutron client\n self.gen_neutron_client()\n\n # instantiate heat client (used to validate templates)\n self.gen_heat_client()","def __init__(self):\n\n self.mx = self.my = self.mz = 0\n self.mvar = 0\n self.maux = 0\n self.mglobal = 0\n\n self.precision = 'S'\n self.nghostx = self.nghosty = self.nghostz = 0\n\n self.nprocx = self.nprocy = self.nprocz = 0\n self.iprocz_slowest = 0\n self.ipx = self.ipy = self.ipz = 0\n\n # Add derived quantities to the dim object.\n self.nx = self.ny = self.nz = 0\n self.mw = 0\n self.l1 = self.l2 = 0\n self.m1 = self.m2 = 0\n self.n1 = self.n2 = 0\n\n self.nxgrid = self.nygrid = self.nzgrid = 0\n self.mxgrid = self.mygrid = self.mzgrid = 0","def help_init(self, input_dims, nodes):\n\n self.m_weights = np.zeros((input_dims, nodes))\n self.v_weights = np.zeros((input_dims, nodes))\n self.m_biases = np.zeros(nodes)\n self.v_biases = np.zeros(nodes)\n self.curr_iter = 0","def setup(self, project_factory, snapshot_restore_factory, create_pvcs_and_pods):\n self.pvcs, self.pods = create_pvcs_and_pods(pvc_size=3, pods_for_rwx=1)","def init():\n print(\"Installed everything under {0} \"\n \"virtual environment\".format(package_name()))","def initialize():\n environment = Environment()\n environment.setup()","def initialize_variables(self):\n self.sess.run(self.init)","def __init__(self, *args):\n _snap.TFltV_swiginit(self, _snap.new_TFltV(*args))","def setUp(self):\n \n chrom = \"1\"\n pos = \"15000000\"\n snp_id = \"CM00001\"\n ref = \"A\"\n alt = \"G\"\n filt = \"PASS\"\n \n # set up a SNV object, since SNV inherits VcfInfo\n self.var = SNV(chrom, pos, snp_id, ref, alt, filt)\n self.var.debug_chrom = \"1\"\n self.var.debug_pos = \"15000000\"\n \n self.default_info = \"HGNC=ATRX;CQ=missense_variant;random_tag\"\n \n \n # here are the default filtering criteria, as loaded into python\n known_genes = {\"ATRX\": {\"inheritance\": {\"Hemizygous\": \\\n {\"Loss of function\"}}, \"start\": \"10000000\", \"chrom\": \"1\", \\\n \"confirmed_status\": {\"Confirmed DD Gene\"}, \"end\": \"20000000\"}}\n \n SNV.known_genes = known_genes\n \n self.var.add_info(self.default_info)","def prepare_node(self, node):\n self.interface = IpmiInterface(\n node.get('fencer-ip'),\n node.get('fencer-user'),\n node.get('fencer-password'),\n verbose=CONF.debug)","def __init__(self, **kwargs):\n dataset_name = kwargs.get('dataset_name', None)\n self.reset()\n image_height, image_width, _ = kwargs['input_shape']\n dataset_info = get_dataset_info(dataset_name=dataset_name)\n self._label_inv_map = {v: k for k, v in dataset_info.label_map.items()}\n self._metric_names = ['bbox AP', 'bbox AP50']\n self._metrics_vals = [0, 0]\n self._gt_ann_file = kwargs['gt_json_path']\n self._coco_gt = COCO(self._gt_ann_file)\n self._last_image_id = None\n self._faster_proposlas_nms = FasterRCNNProposalsNMS(image_height, image_width, self._coco_gt,\n kwargs['score_threshold'], kwargs['nms_iou_thresh'],\n label_inv_map=self._label_inv_map,\n detections=self._detections)","def initialize():\n dislin.disini()","def __init__(self):\n self.device_id = None\n self.devices = []\n self.onvif_config = {}","def kv_esx_init():\n disk_lib_init()","def __init__(self):\n self.read_input()\n self.update_binaries()","def initialize(self):\n self.U = range(self.K)\n self.H = np.identity(self.rank)\n temp = 0\n self.S = np.zeros([self.rank, self.rank, self.K])\n for k in range(self.K):\n self.S[:, :, k] = np.identity(self.rank)\n temp += self.X[k].T.dot(self.X[k])\n [eigval, eigvec] = np.linalg.eig(temp)\n self.V = eigvec[:, range(self.rank)]","def __init__(self, variables, cardinality, inhibitor_probability):\n # TODO: Accept values of each state so that it could be\n # put into F to compute the final state values of the output\n self.variables = np.array([])\n self.cardinality = np.array([], dtype=int)\n self.inhibitor_probability = []\n self.add_variables(variables, cardinality, inhibitor_probability)","def initialize(self, finetune_lr=0.1):\n\n inputs = Tensor.matrix('inputs')\n outputs = Tensor.ivector('outputs')\n minibatch_index = Tensor.lscalar('minibatch_index')\n\n self.training_function = self.compiled_training_function(\n self.classifier,\n minibatch_index,\n inputs,\n outputs,\n finetune_lr\n )\n self.validation_eval_function = self.compiled_validation_function(\n self.classifier,\n minibatch_index,\n inputs,\n outputs\n )\n self.test_eval_function = self.compiled_test_function(\n self.classifier,\n minibatch_index,\n inputs,\n outputs\n )","def __init__(__self__, *,\n dns_servers: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,\n gateway: Optional[pulumi.Input[str]] = None,\n infra_vnet_profile: Optional[pulumi.Input['VirtualNetworksPropertiesInfraVnetProfileArgs']] = None,\n ip_address_prefix: Optional[pulumi.Input[str]] = None,\n vip_pool: Optional[pulumi.Input[Sequence[pulumi.Input['VirtualNetworksPropertiesVipPoolArgs']]]] = None,\n vmip_pool: Optional[pulumi.Input[Sequence[pulumi.Input['VirtualNetworksPropertiesVmipPoolArgs']]]] = None):\n if dns_servers is not None:\n pulumi.set(__self__, \"dns_servers\", dns_servers)\n if gateway is not None:\n pulumi.set(__self__, \"gateway\", gateway)\n if infra_vnet_profile is not None:\n pulumi.set(__self__, \"infra_vnet_profile\", infra_vnet_profile)\n if ip_address_prefix is not None:\n pulumi.set(__self__, \"ip_address_prefix\", ip_address_prefix)\n if vip_pool is not None:\n pulumi.set(__self__, \"vip_pool\", vip_pool)\n if vmip_pool is not None:\n pulumi.set(__self__, \"vmip_pool\", vmip_pool)","def init(self):\n self.i32_1 = np.linspace(0,2,3).astype('int32')\n self.fi32_1 = np.asfortranarray(self.i32_1)\n self.i64_1 = np.linspace(0,2,3).astype('int64')\n self.fi64_1 = np.asfortranarray(self.i64_1)\n\n self.f32_1 = np.linspace(0,2,3).astype('float32')\n self.ff32_1 = np.asfortranarray(self.f32_1)\n self.f64_1 = np.linspace(0,2,3).astype('float64')\n self.ff64_1 = np.asfortranarray(self.f64_1)\n\n self.i64_2 = np.linspace(0,8,9).reshape((3,3)).astype('int64')\n self.fi64_2 = np.asfortranarray(self.i64_2)\n self.f64_2 = np.linspace(0,8,9).reshape((3,3)).astype('float64')\n self.ff64_2 = np.asfortranarray(self.f64_2)\n\n self.i64_3 = np.linspace(0,26,27).reshape((3,3,3)).astype('int64')\n self.fi64_3 = np.asfortranarray(self.i64_3)\n self.f64_3 = np.linspace(0,26,27).reshape((3,3,3)).astype('float64')\n self.ff64_3 = np.asfortranarray(self.f64_3)","def __init__(self, *args):\n _snap.TFltIntKdV_swiginit(self, _snap.new_TFltIntKdV(*args))","def _initialise_run(self) -> None:","def __init__(self, variables, global_attributes=None, requested_ffi=None):\n global_attributes = global_attributes or []\n\n self.output_message = []\n self.na_dict = {}\n self.vars = variables\n\n # Note that self.var_ids will be a list containing:\n # [ordered_vars, auxiliary_vars, rank_zero_vars]\n self.var_ids = None\n self.globals = dict(global_attributes)\n self.requested_ffi = requested_ffi\n\n self.rank_zero_vars = []\n self.rank_zero_var_ids = []\n\n # Create a flag to check if anything found\n self.found_na = False","def _initialize(self):\n self.send_init_command()","def __init__(self, *args):\n _snap.TDirNetNodeI_swiginit(self, _snap.new_TDirNetNodeI(*args))","def init_algorithm(self):\n pass"],"string":"[\n \"def initialize(self):\\n self.initialize_edges()\\n self.initialize_prob()\\n self.initialize_total_input_dict()\\n\\n self.initialize_fpmusigv_dict()\",\n \"def main():\\n run_nutanix_vm_creation_module()\",\n \"def __init__(self, nvim):\\n self.nvim = nvim\",\n \"def __init__(self,compute_core):\\n self.compute_core = compute_core\",\n \"def __init__(self, *args):\\n _snap.PNEANetV_swiginit(self, _snap.new_PNEANetV(*args))\",\n \"def __init__(self, UI):\\n super(COTDeployESXi, self).__init__(UI)\\n self.datastore = None\\n \\\"\\\"\\\"ESXi datastore to deploy to.\\\"\\\"\\\"\\n self.host = None\\n \\\"\\\"\\\"vSphere host to deploy to - set implicitly by self.locator.\\\"\\\"\\\"\\n self.server = None\\n \\\"\\\"\\\"vCenter server or vSphere host - set implicitly by self.locator.\\\"\\\"\\\"\\n self._locator = None\\n self._ovftool_args = []\\n\\n self.ovftool = OVFTool()\",\n \"def initialise(self):\\n self.sc.init.exec_action(self.variables)\",\n \"def __init__(self):\\n self.svclassifier = SVC(kernel='linear')\",\n \"def init():\\n rino.initialize.initialize()\",\n \"def __init__(self, *args, **kwargs):\\n self.license_file = None\\n self.license_env_var = None\\n\\n self.home_subdir = os.path.join(os.getenv('HOME'), 'intel')\\n common_tmp_dir = os.path.dirname(tempfile.gettempdir()) # common tmp directory, same across nodes\\n self.home_subdir_local = os.path.join(common_tmp_dir, os.getenv('USER'), 'easybuild_intel')\\n\\n super(IntelBase, self).__init__(*args, **kwargs)\\n\\n # prepare (local) 'intel' home subdir\\n self.setup_local_home_subdir()\\n self.clean_home_subdir()\",\n \"def __init__(self):\\n self._lib_vscf_ecc = VscfEcc()\\n self._c_impl = None\\n self._ctx = None\\n self.ctx = self._lib_vscf_ecc.vscf_ecc_new()\",\n \"def initialize(self):\\n \\n casalog.origin(\\\"ParallelDataHelper\\\")\\n\\n # self._arg is populated inside ParallelTaskHelper._init_()\\n self._arg['vis'] = os.path.abspath(self._arg['vis'])\\n # MPI setting\\n if self._mpi_cluster:\\n self._cluster.start_services()\\n \\n if (self._arg['outputvis'] != \\\"\\\"):\\n self._arg['outputvis'] = os.path.abspath(self._arg['outputvis']) \\n\\n outputPath, self.outputBase = os.path.split(self._arg['outputvis'])\\n try:\\n if self.outputBase[-1] == '.':\\n self.outputBase = self.outputBase[:self.outputBase.rindex('.')]\\n except ValueError:\\n # outputBase must not have a trailing .\\n pass\\n\\n if self.outputBase == '.' or self.outputBase == './':\\n raise ValueError, 'Error dealing with outputvis'\\n \\n # The subMS are first saved inside a temporary directory\\n self.dataDir = outputPath + '/' + self.outputBase+'.data'\\n if os.path.exists(self.dataDir): \\n shutil.rmtree(self.dataDir)\\n\\n os.mkdir(self.dataDir)\",\n \"def __init__(self, ni, nj, nk):\\n \\n self.ni = ni\\n self.nj = nj\\n self.nk = nk\\n \\n self.nn = np.zeros(3)\\n \\n self.nn[0] = self.ni\\n self.nn[1] = self.nj\\n self.nn[2] = self.nk\\n \\n self.x0 = np.zeros(3)\\n self.dh = np.zeros(3)\\n self.xm = np.zeros(3)\\n self.xc = np.zeros(3)\\n \\n self.EPS_0 = 8.85418782e-12\\n self.QE = 1.602176565e-19;\\n self.AMU = 1.660538921e-27\\n self.ME = 9.10938215e-31;\\n self.K = 1.380648e-23;\\n self.EvToK = self.QE/self.K;\\n \\n self.phi = np.zeros((self.ni, self.nj, self.nk))\\n self.phi_new = np.zeros((self.ni, self.nj, self.nk))\\n self.R = np.zeros((self.ni, self.nj, self.nk))\\n self.rho = np.zeros((self.ni, self.nj, self.nk))\\n self.node_vol = np.zeros((self.ni, self.nj, self.nk))\\n self.ef = np.zeros((self.ni, self.nj, self.nk, 3))\",\n \"def init(self, attrs):\\n\\n self.name = attrs[\\\"name\\\"]\\n self.file_path = attrs.get(\\\"file\\\", \\\"pod.yaml\\\")\\n\\n self.nodes, self.nfvi_host, self.host_mgmt = \\\\\\n self.helper.parse_pod_file(self.file_path, 'OvsDpdk')\\n\\n self.attrs = attrs\\n self.vm_flavor = attrs.get('flavor', {})\\n self.servers = attrs.get('servers', {})\\n self.vm_deploy = attrs.get(\\\"vm_deploy\\\", True)\\n self.ovs_properties = attrs.get('ovs_properties', {})\\n # add optional static network definition\\n self.networks = attrs.get(\\\"networks\\\", {})\\n\\n LOG.debug(\\\"Nodes: %r\\\", self.nodes)\\n LOG.debug(\\\"NFVi Node: %r\\\", self.nfvi_host)\\n LOG.debug(\\\"Networks: %r\\\", self.networks)\",\n \"def initialize_project():\\n # Initialize work flow\\n wk_flow = vdapi.VDriveAPI('VULCAN')\\n archive_root = '/SNS/VULCAN'\\n if os.path.exists(archive_root) is False:\\n archive_root = None\\n wk_flow.set_data_root_directory(archive_root)\\n wk_flow.set_working_directory('~/Temp/VDriveTest/')\\n\\n # Set to my_data\\n my_data.set(wk_flow)\\n\\n return\",\n \"def __init__(self, compute, project, zone=None, region=None):\\n pass\",\n \"def _initialize_fembv_varx(X, n_components, init='random',\\n u=None, memory=0, random_state=None):\\n if init is None:\\n init = 'random'\\n\\n if init == 'random':\\n return _initialize_fembv_varx_random(\\n X, n_components, u=u, memory=memory, random_state=random_state)\\n else:\\n raise ValueError(\\n 'Invalid init parameter: got %r instead of one of %r' %\\n (init, FEMBV_VARX_INITIALIZATION_METHODS))\",\n \"def __init__(self):\\n super().__init__()\\n import sklearn\\n import sklearn.svm\\n self.model = sklearn.svm.NuSVR\",\n \"def nfvi_compute_finalize():\\n if _compute_plugin is not None:\\n _compute_plugin.finalize()\",\n \"def __init__(self):\\r\\n\\r\\n self.Helpers = Helpers(\\\"Movidius\\\")\\r\\n self.confs = self.Helpers.confs\\r\\n\\r\\n self.classes = []\\r\\n self.ncsGraph = None\\r\\n self.ncsDevice = None\\r\\n self.reqsize = None\\r\\n\\r\\n self.mean = 128\\r\\n self.std = 1 / 128\\r\\n\\r\\n #mvnc.SetGlobalOption(mvnc.GlobalOption.LOG_LEVEL, 2)\\r\\n\\r\\n self.Helpers.logger.info(\\\"Movidius class initialization complete.\\\")\",\n \"def __init__(self):\\n self.update_os_packages()\\n self.upgrade_os_packages()\",\n \"def initialize(self):\\n self.write_model(path=PATH.GRAD, suffix='new')\\n\\n if PAR.RANDOM_OVER_IT or optimize.iter == 1:\\n self.get_random_frequencies()\\n\\n print('Generating synthetics')\\n system.run('solver', 'eval_func',\\n hosts='all',\\n path=PATH.GRAD)\\n\\n self.write_misfit(path=PATH.GRAD, suffix='new')\",\n \"def __initialize__(self):\\n self.initialized = True\\n if self.ids_to_consider is None:\\n self.V_tot = np.sum(self.V[self.p_ids-1])\\n else:\\n self.V_tot = np.sum(self.V[self.ids_to_consider-1])\\n return\",\n \"def __init__(self):\\n \\n self.load_PSF_data()\",\n \"def __init__ (self) :\\n self.loadCSPAD2x2CalibParsDefault()\",\n \"def _init_gpf(self):\\n raise NotImplementedError('Abstract Method')\",\n \"def __init__(self, osi, fy, e0, a, n):\\n self.osi = osi\\n self.fy = float(fy)\\n self.e0 = float(e0)\\n self.a = float(a)\\n self.n = float(n)\\n if osi is not None:\\n osi.n_mat += 1\\n self._tag = osi.n_mat\\n self._parameters = [self.op_type, self._tag, self.fy, self.e0, self.a, self.n]\\n if osi is None:\\n self.built = 0\\n if osi is not None:\\n self.to_process(osi)\",\n \"def __init__( self ):\\n self.NQ = 16\\n self.Nbranches = 3\\n self.NatomsUC = 1\\n self.dim = 3\\n self.QVectors = np.zeros( ( self.NQ , 3 ) )\\n self.MakeQVectors()\\n self.EigenVectors = np.zeros( [ self.NQ , \\n self.Nbranches ,\\n self.NatomsUC , \\n self.dim ] )\\n self.MakeEigenVectors()\",\n \"def init():\\n safe_call(backend.get().af_init())\",\n \"def init_vars():\\n\\tda_vinci.base.usepackage(\\\"pgfkeys\\\")\\n\\tda_vinci.base.add_preamble(setup_script)\",\n \"def __init__(self, *args):\\n _snap.TFltIntPrV_swiginit(self, _snap.new_TFltIntPrV(*args))\",\n \"def __init__(self, *args):\\n _snap.TMMNetCrossNetI_swiginit(self, _snap.new_TMMNetCrossNetI(*args))\",\n \"def __init__(self):\\n\\t\\tself.config_file = \\\"c:/test-av/conf/vmware.conf\\\"\\n\\t\\tself.conf = Config(self.config_file)\\n\\t\\t#\\n\\t\\t# you can redefine the Command class providing vmrun full path:\\n\\t\\t# self.cmd = Command(\\\"vmrun full path\\\")\\n\\t\\t#\\n\\t\\t# TODO:\\n\\t\\t#\\t- Command class with one argument\\n\\t\\tself.cmd = Command(self.conf.path, self.conf.host, self.conf.user, self.conf.passwd)\\n\\t\\t\\n\\t\\t# full paths of script neede for update\\n\\t\\tself.netENScript=\\\"c:/Users/avtest/Desktop/EnableIF.bat\\\"\\n\\t\\tself.netDISScript=\\\"c:/Users/avtest/Desktop/DisableIF.bat\\\"\\n\\t\\tself.updScript=\\\"C:/Users/avtest/Desktop/AVUpdate.bat\\\"\",\n \"def init():\\n \\n # General parameters\\n vect_path = '/home/laura/Documents/STAGE3/outputVectorisation_1705_new_invert/output_60_70/' # graphs directory\\n csv_path = '/home/laura/Documents/STAGE3/outputVectorisation_1705_new_invert/output_60_70/tracking3/nodes_for_tracking.csv' # csv file \\n dest_path = '/home/laura/Documents/STAGE3/outputVectorisation_1705_new_invert/output_60_70/tracking3/' # output directory\\n verbose = True\\n main_params = [vect_path, csv_path, dest_path, verbose]\\n \\n # Linking parameters\\n createCSV = True \\n forced_matching = True\\n search_range = 10\\n memory = 3\\n adaptive_stop = 5 \\n link_params = [createCSV, forced_matching, search_range, memory, \\n adaptive_stop]\\n \\n # Tracking check parameters\\n check = True # True to create a check image\\n img_path = '/home/laura/Documents/STAGE3/outputVectorisation_1705_new_invert/output_60_70/tracking2/MosaicTest_t070.jpg' # image file on which to draw\\n size = 1 # size of the nodes drawing\\n check_params = [check, img_path, size]\\n \\n return main_params, link_params, check_params\",\n \"def __init__(self, *args):\\n _snap.TNEANetAFltI_swiginit(self, _snap.new_TNEANetAFltI(*args))\",\n \"def init(self):\\r\\n self._parse_options(self._force_args)\\r\\n self._maybe_daemonize()\\r\\n self._setup_modules()\\r\\n self._state = self.INITIALIZED\",\n \"def __init__(self, *args):\\n _snap.TFltIntPrKdV_swiginit(self, _snap.new_TFltIntPrKdV(*args))\",\n \"def __init__(self, *args):\\n _ITKCostFunctionsPython.itkSingleValuedVnlCostFunctionAdaptor_swiginit(self,_ITKCostFunctionsPython.new_itkSingleValuedVnlCostFunctionAdaptor(*args))\",\n \"def __init__(self):\\n torch.nn.Module.__init__(self)\\n # Convolution and pooling layers of VGG-16.\\n self.features = torchvision.models.vgg16(pretrained=True).features\\n self.features = torch.nn.Sequential(*list(self.features.children())\\n [:-1]) # Remove pool5.\\n # Linear classifier.\\n self.fc = torch.nn.Linear(512**2, 36)\",\n \"def __init__(self, *args):\\n _snap.TFltPrV_swiginit(self, _snap.new_TFltPrV(*args))\",\n \"def initialise_process(param):\\n \\n if self._initialisation_process == 'xavier_uniform':\\n tnni.xavier_uniform_(param.data)\\n elif self._initialisation_process == 'xavier_normal':\\n tnni.xavier_normal_(param.data)\\n elif self._initialisation_process == 'kaiming_uniform':\\n tnni.kaiming_uniform_(param.data)\\n elif self._initialisation_process == 'kaiming_normal':\\n tnni.kaiming_normal_(param.data)\",\n \"def __init__(self, osi, fy, fu, es, esh, eps_sh, eps_ult, cf, alpha_2, cd):\\n self.osi = osi\\n self.fy = float(fy)\\n self.fu = float(fu)\\n self.es = float(es)\\n self.esh = float(esh)\\n self.eps_sh = float(eps_sh)\\n self.eps_ult = float(eps_ult)\\n self.cf = float(cf)\\n self.alpha_2 = alpha_2\\n self.cd = float(cd)\\n if osi is not None:\\n osi.n_mat += 1\\n self._tag = osi.n_mat\\n self._parameters = [self.op_type, self._tag, self.fy, self.fu, self.es, self.esh, self.eps_sh, self.eps_ult, '-CMFatigue', self.cf, self.alpha_2, self.cd]\\n if osi is None:\\n self.built = 0\\n if osi is not None:\\n self.to_process(osi)\",\n \"def initialisation(self):\\n self.create_variables()\\n self.create_placeholders()\\n self.build_model()\\n self.reset_lr(None, True)\\n self.build_loss()\\n self.initialised = True\",\n \"def __init__(self, project):\\n super(NovaExtractor, self).__init__(project)\\n\\n self.nova = self._get_nova_client()\\n self.glance = self._get_glance_client()\\n self.neutron = self._get_neutron_client()\\n\\n self.flavors = self._get_flavors()\\n self.images = self._get_images()\",\n \"def init():\\n\\n banner(\\\"init\\\")\\n with show(\\\"output\\\"):\\n if not env.get('no_apt_update'):\\n sudo('apt-get update')\\n\\n require.directory(env.path, mode=\\\"777\\\", use_sudo=True)\\n require.directory('/var/run/%s' % env.project_name, owner='www-data', group='www-data', mode='770', use_sudo=True)\\n require.directory('/var/log/%s' % env.project_name, owner='www-data', group='www-data', mode='770', use_sudo=True)\\n require.directory('/var/log/supervisord/', owner='www-data', group='www-data', mode='770', use_sudo=True)\\n require.directory('/var/run/supervisord/', owner='www-data', group='www-data', mode='770', use_sudo=True)\\n\\n require.deb.packages([\\n 'gcc', 'python-all-dev', 'libpq-dev', 'libjpeg-dev', 'libxml2-dev', 'libxslt1-dev', 'libmysqlclient-dev',\\n 'libfreetype6-dev', 'libevent-dev', 'supervisor'\\n ])\\n require.python.pip(version=\\\"1.0\\\")\\n\\n new_virtualenv()\\n\\n me = run('whoami')\\n sudo('adduser %s www-data' % me)\\n\\n install_nginx()\\n\\n if env.mysql:\\n require.mysql.server(password=env.mysql_password)\\n with settings(mysql_user='root', mysql_password=env.mysql_password):\\n require.mysql.user(env.mysql_username, env.mysql_password)\\n require.mysql.database(env.mysql_dbname, owner=env.mysql_username)\",\n \"def __init__(self, verbose):\\n self.modules = maus_cpp.globals.get_monte_carlo_mice_modules()\\n self.verbose = verbose\",\n \"def main(args):\\n\\n\\t##############################################################################\\n\\t######## Pass user command line arguments to setup.py which will #############\\n\\t############# initialise some parameters for the analysis ###################\\n\\t##############################################################################\\n\\tinit_ = setup.initialise_user_input(args)\\n\\n\\t##############################################################################\\n\\t######## Define system_ which is the object, of class nanoCISC, ##############\\n\\t######## which contains all relevant information about your nanoparticle ####\\n\\t##############################################################################\\n\\tsystem_ = nano_cisc.nanoCISC(init_.nano_particle, init_.anchors, init_.beta, init_.calcrange, \\n init_.curves, init_.targetinc, init_.density) \\n\\t# initialise system_ as nanoCISC class here ^^^\\n\\n\\t# If density is being calculated, define grid from grid class\\n\\tif args['density']:\\n\\t\\tgrid=grids.grid(system_)\\n\\n\\n\\t##############################################################################\\n\\t################ Process trajectory, frame by frame ##########################\\n\\t##############################################################################\\n\\n\\tfor ts in init_.u.trajectory: # loop through trajectory frames here \\n\\t\\tprint \\\"Processing snapshot %d \\\" % (ts.frame)\\n\\n\\t\\t# Array for calculating intrinsic density is initialised to {0}\\n\\t\\tintrinsic_count=np.zeros( ( np.ceil( 3 * system_.calculation_range).astype(np.int) ,len(system_.density) ), dtype = np.float32) \\n\\n\\t\\t# Array that stores the instantaneous volume of each spatial interval is initialised to {0}\\n\\t\\tvolume_at_dist=np.zeros( ( np.ceil( 3 * system_.calculation_range).astype(np.int) ,len(system_.density) ), dtype = np.float32) \\n\\n\\t\\t# Centre of mass position is updated\\n\\t\\tsystem_.update_com()\\n\\n\\t\\t# Vectors describing the anchor points are updated \\n\\t\\tsystem_.update_anchors() \\n\\n\\t\\t# Nanoparticle depth values are updated\\n\\t\\tsystem_.update_surface() \\t\\n\\n\\t\\tif args['XYZsurface']:\\n\\t\\t\\tsystem_.write_surface(init_.f_visualise_surface) # write micelle surface to xyz file\\n \\n \\t\\tif args['density']: \\n \\t\\t\\tgrid.update_volume_estimate(volume_at_dist, system_) # volume estimate is updated for snapshot\\n\\t\\t\\tsystem_.calculate_density(intrinsic_count, volume_at_dist) # calculate density here\\n\\n\\t\\tsystem_.frames_processed += 1\\n\\n\\t##################################\\n\\t##### Print results to files #####\\n\\t##################################\\n\\tif args['density']:\\n\\t\\tsystem_.print_intrinsic_density(init_.f_intrinsic_density_out)\\n\\t\\tsystem_.print_radial_density()\\n\\n\\n\\tprint \\\"Program finished successfully!!!\\\\n\\\"\",\n \"def __init__(self):\\r\\n\\r\\n #480p 2.39:1 720x302\\r\\n #2048x2048 is more than 7.3GB of vRAM for the Master DISC model\\r\\n\\r\\n #Loading the preprocessed data\\r\\n preprocessVars = Preprocess()\\r\\n\\r\\n #The training and display of the trained models\\r\\n self.modelTrain = train.Train(preprocessVars)\\r\\n self.disp = display.Display(preprocessVars)\",\n \"def _init_cluster(self):\\n self._Init_Cluster()\",\n \"def _init_env_variables(self):\\n raise NotImplementedError()\",\n \"def _init_env_variables(self):\\n raise NotImplementedError()\",\n \"def _init_env_variables(self):\\n raise NotImplementedError()\",\n \"def _init_env_variables(self):\\n raise NotImplementedError()\",\n \"def _init_env_variables(self):\\n raise NotImplementedError()\",\n \"def _init_env_variables(self):\\n raise NotImplementedError()\",\n \"def init_host(self, host):\\n if self._drv_nodes is None:\\n self.set_nodes([nova_conf.host])\\n args = (drv_conf.tenant_id, drv_conf.client_id, drv_conf.client_secret,\\n drv_conf.subscription_id)\\n\\n self.compute_client = utils.get_compute_client(*args)\\n self.resource_client = utils.get_resource_client(*args)\\n self.network_client = utils.get_network_client(*args)\\n is_resource_created = utils.check_resource_existence(\\n self.resource_client, drv_conf.resource_group)\\n if not is_resource_created:\\n utils.create_resource_group(\\n self.resource_client, drv_conf.resource_group, drv_conf.region)\\n\\n self.flavor_info.update(\\n utils.get_vm_sizes(self.compute_client, drv_conf.region))\\n LOG.info(\\\"%s driver init with %s project, %s region\\\" %\\n (self.name, drv_conf.tenant_id, drv_conf.region))\",\n \"def __init__(self):\\r\\n torch.nn.Module.__init__(self)\\r\\n # Convolution and pooling layers of VGG-16.\\r\\n self.features = torchvision.models.vgg19_bn(pretrained=False).features\\r\\n self.features = torch.nn.Sequential(*list(self.features.children())\\r\\n [:-1]) # Remove pool5.\\r\\n # Linear classifier.\\r\\n self.fc = torch.nn.Linear(512**2, 11)\",\n \"def __init__(self, *args):\\n _snap.TModeNetNodeI_swiginit(self, _snap.new_TModeNetNodeI(*args))\",\n \"def initialize():\\n\\n parser = build_arg_parser()\\n par = parser.parse_known_args()[0]\\n\\n # Main arguments.\\n set('run_mode', par.run_mode)\\n set('input_files', par.image)\\n\\n # Sub-parser specific arguments.\\n if par.run_mode == 'train':\\n\\n set('batch_size', par.batch_size)\\n set('drop', par.drop)\\n set('epochs', par.epochs)\\n set('model', par.model)\\n set('level', par.level)\\n set('vfrac', par.vfrac)\\n set('data_augm', par.data_augm)\\n set('summary', par.summary)\\n set('outdir', par.outdir)\\n # Parameters associated with super-resolution. \\n set('super_resolution', par.super_resolution)\\n set('generator', par.generator)\\n set('discriminator', par.discriminator)\\n\\n elif par.run_mode == 'predict':\\n\\n set('tile_edge', par.edge)\\n set('model', par.model)\\n set('save_conv2d_kernels', par.save_conv2d_kernels) \\n set('save_conv2d_outputs', par.save_conv2d_outputs) \\n set('colormap', par.colormap)\\n # Parameters associated with super-resolution. \\n set('super_resolution', par.super_resolution)\\n set('generator', par.generator)\\n\\n elif par.run_mode == 'diagnose': \\n \\n set('model', par.model) \\n \\n else:\\n \\n pass\",\n \"def init():\",\n \"def __init__(self, *args):\\n _snap.TCrossNetAFltI_swiginit(self, _snap.new_TCrossNetAFltI(*args))\",\n \"def __init__(self, foundVariables, trainingData, trainingClasses, trainingWeights, testingData, testingClasses):\\n self.clf = svm.SVC(probability=True)\\n self.foundVariables = foundVariables\\n self.trainingData = trainingData\\n self.trainingClasses = trainingClasses\\n self.testingData = testingData\\n self.testingClasses = testingClasses\\n self.trainingWeights = trainingWeights\",\n \"def init():\\n return _nfc.init()\",\n \"def initialise(self, args, environ):\",\n \"def initialise(self):\",\n \"def __init__(self, *args):\\n _snap.TFltVVV_swiginit(self, _snap.new_TFltVVV(*args))\",\n \"def init():\\n pass\",\n \"def __init__(self, *args):\\n _snap.TFltVFltV_swiginit(self, _snap.new_TFltVFltV(*args))\",\n \"def __init__(self, *args):\\n _ITKCostFunctionsPython.itkMultipleValuedVnlCostFunctionAdaptor_swiginit(self,_ITKCostFunctionsPython.new_itkMultipleValuedVnlCostFunctionAdaptor(*args))\",\n \"def __init__(self):\\n self.model_description: Dict[str, Any] = get_model_description()\\n self.model_name: str = self.model_description['name']\\n self.model_version: str = self.model_description['version']\\n\\n # Make sure we do not have a trailing slash to muck up processing later.\\n self.event_dir: Optional[str] = None\\n self.zone_name: Optional[str] = None\\n self.fault_time: Optional[str] = None\\n\\n self.example: Example = None\\n self.validator: ExampleValidator = ExampleValidator()\\n self.common_features_df: pd.DataFrame = None\\n\\n self.cavity_onnx_session: rt.InferenceSession = rt.InferenceSession(os.path.join(os.path.dirname(__file__),\\n 'model_files',\\n 'cavity_model.onnx'))\\n self.fault_onnx_session: rt.InferenceSession = rt.InferenceSession(os.path.join(os.path.dirname(__file__),\\n 'model_files',\\n 'fault_model.onnx'))\",\n \"def initialize(self, node: MComputeNode):\\n raise Exception(\\\"Subclass responsibility\\\")\",\n \"def init():\\n\\tN = np.int32(DIM) #prepare for stitching\\n\\t#HII_DIM = np.int32(HII_DIM)\\n\\tf_pixel_factor = DIM/HII_DIM;\\n\\tscale = np.float32(BOX_LEN)/DIM\\n\\tHII_scale = np.float32(BOX_LEN)/HII_DIM\\n\\tshape = (N,N,N)\\n\\t\\n\\tMRGgen = MRG32k3aRandomNumberGenerator(seed_getter=seed_getter_uniform, offset=0)\\n\\n\\tkernel_source = open(cmd_folder+\\\"/initialize.cu\\\").read()\\n\\tkernel_code = kernel_source % {\\n\\n\\t\\t'DELTAK': DELTA_K,\\n\\t\\t'VOLUME': VOLUME,\\n\\t\\t'DIM': DIM\\n\\t}\\n\\tmain_module = nvcc.SourceModule(kernel_code)\\n\\tinit_kernel = main_module.get_function(\\\"init_kernel\\\")\\n\\tHII_filter = main_module.get_function(\\\"HII_filter\\\")\\n\\tadj_complex_conj = main_module.get_function(\\\"adj_complex_conj\\\")\\n\\tsubsample_kernel = main_module.get_function(\\\"subsample\\\")\\n\\tvelocity_kernel = main_module.get_function(\\\"set_velocity\\\")\\n\\tpspec_texture = main_module.get_texref(\\\"pspec\\\")\\n\\n\\tinterpPspec, interpSize = init_pspec() #interpPspec contains both k array and P array\\n\\tinterp_cu = cuda.matrix_to_array(interpPspec, order='F')\\n\\tcuda.bind_array_to_texref(interp_cu, pspec_texture)\\n\\n\\tlargebox_d = gpuarray.zeros(shape, dtype=np.float32)\\n\\tinit_kernel(largebox_d, np.int32(DIM), block=block_size, grid=grid_size)\\n\\n\\t#import IPython; IPython.embed()\\n\\tlargebox_d_imag = gpuarray.zeros(shape, dtype=np.float32)\\n\\tinit_kernel(largebox_d_imag, np.int32(DIM), block=block_size, grid=grid_size)\\n\\n\\tlargebox_d *= MRGgen.gen_normal(shape, dtype=np.float32)\\n\\tlargebox_d_imag *= MRGgen.gen_normal(shape, dtype=np.float32)\\n\\tlargebox_d = largebox_d + np.complex64(1.j) * largebox_d_imag\\n\\n\\t#adj_complex_conj(largebox_d, DIM, block=block_size, grid=grid_size)\\n\\tlargebox = largebox_d.get()\\n\\t#np.save(parent_folder+\\\"/Boxes/deltak_z0.00_{0:d}_{1:.0f}Mpc\\\".format(DIM, BOX_LEN), largebox)\\n\\n\\t#save real space box before smoothing\\n\\tplan = Plan(shape, dtype=np.complex64)\\n\\tplan.execute(largebox_d, inverse=True) #FFT to real space of smoothed box\\n\\tlargebox_d /= scale**3\\n\\tnp.save(parent_folder+\\\"/Boxes/deltax_z0.00_{0:d}_{1:.0f}Mpc\\\".format(DIM, BOX_LEN), largebox_d.real.get_async())\\n\\n\\t#save real space box after smoothing and subsampling\\n\\t# host largebox is still in k space, no need to reload from disk\\n\\tlargebox_d = gpuarray.to_gpu(largebox)\\n\\tsmoothR = np.float32(L_FACTOR*BOX_LEN/HII_DIM)\\n\\tHII_filter(largebox_d, N, ZERO, smoothR, block=block_size, grid=grid_size);\\n\\tplan.execute(largebox_d, inverse=True) #FFT to real space of smoothed box\\n\\tlargebox_d /= scale**3\\n\\tsmallbox_d = gpuarray.zeros(HII_shape, dtype=np.float32)\\n\\tsubsample_kernel(largebox_d.real, smallbox_d, N, HII_DIM, PIXEL_FACTOR, block=block_size, grid=HII_grid_size) #subsample in real space\\n\\tnp.save(parent_folder+\\\"/Boxes/smoothed_deltax_z0.00_{0:d}_{1:.0f}Mpc\\\".format(HII_DIM, BOX_LEN), smallbox_d.get_async())\\n\\n\\t# reload the k-space box for velocity boxes\\n\\tlargebox_d = gpuarray.to_gpu(largebox)\\n\\t\\n\\t#largebox_d /= VOLUME #divide by VOLUME if using fft (vs ifft)\\n\\tsmoothR = np.float32(L_FACTOR*BOX_LEN/HII_DIM)\\n\\tlargevbox_d = gpuarray.zeros((DIM,DIM,DIM), dtype=np.complex64)\\n\\tsmallbox_d = gpuarray.zeros(HII_shape, dtype=np.float32)\\n\\tfor num, mode in enumerate(['x', 'y', 'z']):\\n\\t\\tvelocity_kernel(largebox_d, largevbox_d, DIM, np.int32(num), block=block_size, grid=grid_size)\\n\\t\\tHII_filter(largevbox_d, DIM, ZERO, smoothR, block=block_size, grid=grid_size)\\n\\t\\tplan.execute(largevbox_d, inverse=True)\\n\\t\\tlargevbox_d /= scale**3\\n\\t\\t#import IPython; IPython.embed()\\n\\t\\tsubsample_kernel(largevbox_d.real, smallbox_d, DIM, HII_DIM,PIXEL_FACTOR, block=block_size, grid=HII_grid_size)\\n\\t\\tnp.save(parent_folder+\\\"/Boxes/v{0}overddot_{1:d}_{2:.0f}Mpc\\\".format(mode, HII_DIM, BOX_LEN), smallbox_d.get())\\n\\n\\treturn\",\n \"def main():\\n obj = VplexStorageview()\\n obj.perform_module_operation()\",\n \"def __init__(self):\\n self.nodes = 0\\n self.procs = 0\\n self.disk = 0\\n self.memory = 0\",\n \"def init_compute_clients(self):\\n\\n print \\\"\\\\t* instantiating clients\\\"\\n # instantiate nova client\\n self.gen_nova_client()\\n\\n # instantiate neutron client\\n self.gen_neutron_client()\\n\\n # instantiate heat client (used to validate templates)\\n self.gen_heat_client()\",\n \"def __init__(self):\\n\\n self.mx = self.my = self.mz = 0\\n self.mvar = 0\\n self.maux = 0\\n self.mglobal = 0\\n\\n self.precision = 'S'\\n self.nghostx = self.nghosty = self.nghostz = 0\\n\\n self.nprocx = self.nprocy = self.nprocz = 0\\n self.iprocz_slowest = 0\\n self.ipx = self.ipy = self.ipz = 0\\n\\n # Add derived quantities to the dim object.\\n self.nx = self.ny = self.nz = 0\\n self.mw = 0\\n self.l1 = self.l2 = 0\\n self.m1 = self.m2 = 0\\n self.n1 = self.n2 = 0\\n\\n self.nxgrid = self.nygrid = self.nzgrid = 0\\n self.mxgrid = self.mygrid = self.mzgrid = 0\",\n \"def help_init(self, input_dims, nodes):\\n\\n self.m_weights = np.zeros((input_dims, nodes))\\n self.v_weights = np.zeros((input_dims, nodes))\\n self.m_biases = np.zeros(nodes)\\n self.v_biases = np.zeros(nodes)\\n self.curr_iter = 0\",\n \"def setup(self, project_factory, snapshot_restore_factory, create_pvcs_and_pods):\\n self.pvcs, self.pods = create_pvcs_and_pods(pvc_size=3, pods_for_rwx=1)\",\n \"def init():\\n print(\\\"Installed everything under {0} \\\"\\n \\\"virtual environment\\\".format(package_name()))\",\n \"def initialize():\\n environment = Environment()\\n environment.setup()\",\n \"def initialize_variables(self):\\n self.sess.run(self.init)\",\n \"def __init__(self, *args):\\n _snap.TFltV_swiginit(self, _snap.new_TFltV(*args))\",\n \"def setUp(self):\\n \\n chrom = \\\"1\\\"\\n pos = \\\"15000000\\\"\\n snp_id = \\\"CM00001\\\"\\n ref = \\\"A\\\"\\n alt = \\\"G\\\"\\n filt = \\\"PASS\\\"\\n \\n # set up a SNV object, since SNV inherits VcfInfo\\n self.var = SNV(chrom, pos, snp_id, ref, alt, filt)\\n self.var.debug_chrom = \\\"1\\\"\\n self.var.debug_pos = \\\"15000000\\\"\\n \\n self.default_info = \\\"HGNC=ATRX;CQ=missense_variant;random_tag\\\"\\n \\n \\n # here are the default filtering criteria, as loaded into python\\n known_genes = {\\\"ATRX\\\": {\\\"inheritance\\\": {\\\"Hemizygous\\\": \\\\\\n {\\\"Loss of function\\\"}}, \\\"start\\\": \\\"10000000\\\", \\\"chrom\\\": \\\"1\\\", \\\\\\n \\\"confirmed_status\\\": {\\\"Confirmed DD Gene\\\"}, \\\"end\\\": \\\"20000000\\\"}}\\n \\n SNV.known_genes = known_genes\\n \\n self.var.add_info(self.default_info)\",\n \"def prepare_node(self, node):\\n self.interface = IpmiInterface(\\n node.get('fencer-ip'),\\n node.get('fencer-user'),\\n node.get('fencer-password'),\\n verbose=CONF.debug)\",\n \"def __init__(self, **kwargs):\\n dataset_name = kwargs.get('dataset_name', None)\\n self.reset()\\n image_height, image_width, _ = kwargs['input_shape']\\n dataset_info = get_dataset_info(dataset_name=dataset_name)\\n self._label_inv_map = {v: k for k, v in dataset_info.label_map.items()}\\n self._metric_names = ['bbox AP', 'bbox AP50']\\n self._metrics_vals = [0, 0]\\n self._gt_ann_file = kwargs['gt_json_path']\\n self._coco_gt = COCO(self._gt_ann_file)\\n self._last_image_id = None\\n self._faster_proposlas_nms = FasterRCNNProposalsNMS(image_height, image_width, self._coco_gt,\\n kwargs['score_threshold'], kwargs['nms_iou_thresh'],\\n label_inv_map=self._label_inv_map,\\n detections=self._detections)\",\n \"def initialize():\\n dislin.disini()\",\n \"def __init__(self):\\n self.device_id = None\\n self.devices = []\\n self.onvif_config = {}\",\n \"def kv_esx_init():\\n disk_lib_init()\",\n \"def __init__(self):\\n self.read_input()\\n self.update_binaries()\",\n \"def initialize(self):\\n self.U = range(self.K)\\n self.H = np.identity(self.rank)\\n temp = 0\\n self.S = np.zeros([self.rank, self.rank, self.K])\\n for k in range(self.K):\\n self.S[:, :, k] = np.identity(self.rank)\\n temp += self.X[k].T.dot(self.X[k])\\n [eigval, eigvec] = np.linalg.eig(temp)\\n self.V = eigvec[:, range(self.rank)]\",\n \"def __init__(self, variables, cardinality, inhibitor_probability):\\n # TODO: Accept values of each state so that it could be\\n # put into F to compute the final state values of the output\\n self.variables = np.array([])\\n self.cardinality = np.array([], dtype=int)\\n self.inhibitor_probability = []\\n self.add_variables(variables, cardinality, inhibitor_probability)\",\n \"def initialize(self, finetune_lr=0.1):\\n\\n inputs = Tensor.matrix('inputs')\\n outputs = Tensor.ivector('outputs')\\n minibatch_index = Tensor.lscalar('minibatch_index')\\n\\n self.training_function = self.compiled_training_function(\\n self.classifier,\\n minibatch_index,\\n inputs,\\n outputs,\\n finetune_lr\\n )\\n self.validation_eval_function = self.compiled_validation_function(\\n self.classifier,\\n minibatch_index,\\n inputs,\\n outputs\\n )\\n self.test_eval_function = self.compiled_test_function(\\n self.classifier,\\n minibatch_index,\\n inputs,\\n outputs\\n )\",\n \"def __init__(__self__, *,\\n dns_servers: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,\\n gateway: Optional[pulumi.Input[str]] = None,\\n infra_vnet_profile: Optional[pulumi.Input['VirtualNetworksPropertiesInfraVnetProfileArgs']] = None,\\n ip_address_prefix: Optional[pulumi.Input[str]] = None,\\n vip_pool: Optional[pulumi.Input[Sequence[pulumi.Input['VirtualNetworksPropertiesVipPoolArgs']]]] = None,\\n vmip_pool: Optional[pulumi.Input[Sequence[pulumi.Input['VirtualNetworksPropertiesVmipPoolArgs']]]] = None):\\n if dns_servers is not None:\\n pulumi.set(__self__, \\\"dns_servers\\\", dns_servers)\\n if gateway is not None:\\n pulumi.set(__self__, \\\"gateway\\\", gateway)\\n if infra_vnet_profile is not None:\\n pulumi.set(__self__, \\\"infra_vnet_profile\\\", infra_vnet_profile)\\n if ip_address_prefix is not None:\\n pulumi.set(__self__, \\\"ip_address_prefix\\\", ip_address_prefix)\\n if vip_pool is not None:\\n pulumi.set(__self__, \\\"vip_pool\\\", vip_pool)\\n if vmip_pool is not None:\\n pulumi.set(__self__, \\\"vmip_pool\\\", vmip_pool)\",\n \"def init(self):\\n self.i32_1 = np.linspace(0,2,3).astype('int32')\\n self.fi32_1 = np.asfortranarray(self.i32_1)\\n self.i64_1 = np.linspace(0,2,3).astype('int64')\\n self.fi64_1 = np.asfortranarray(self.i64_1)\\n\\n self.f32_1 = np.linspace(0,2,3).astype('float32')\\n self.ff32_1 = np.asfortranarray(self.f32_1)\\n self.f64_1 = np.linspace(0,2,3).astype('float64')\\n self.ff64_1 = np.asfortranarray(self.f64_1)\\n\\n self.i64_2 = np.linspace(0,8,9).reshape((3,3)).astype('int64')\\n self.fi64_2 = np.asfortranarray(self.i64_2)\\n self.f64_2 = np.linspace(0,8,9).reshape((3,3)).astype('float64')\\n self.ff64_2 = np.asfortranarray(self.f64_2)\\n\\n self.i64_3 = np.linspace(0,26,27).reshape((3,3,3)).astype('int64')\\n self.fi64_3 = np.asfortranarray(self.i64_3)\\n self.f64_3 = np.linspace(0,26,27).reshape((3,3,3)).astype('float64')\\n self.ff64_3 = np.asfortranarray(self.f64_3)\",\n \"def __init__(self, *args):\\n _snap.TFltIntKdV_swiginit(self, _snap.new_TFltIntKdV(*args))\",\n \"def _initialise_run(self) -> None:\",\n \"def __init__(self, variables, global_attributes=None, requested_ffi=None):\\n global_attributes = global_attributes or []\\n\\n self.output_message = []\\n self.na_dict = {}\\n self.vars = variables\\n\\n # Note that self.var_ids will be a list containing:\\n # [ordered_vars, auxiliary_vars, rank_zero_vars]\\n self.var_ids = None\\n self.globals = dict(global_attributes)\\n self.requested_ffi = requested_ffi\\n\\n self.rank_zero_vars = []\\n self.rank_zero_var_ids = []\\n\\n # Create a flag to check if anything found\\n self.found_na = False\",\n \"def _initialize(self):\\n self.send_init_command()\",\n \"def __init__(self, *args):\\n _snap.TDirNetNodeI_swiginit(self, _snap.new_TDirNetNodeI(*args))\",\n \"def init_algorithm(self):\\n pass\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.6496471","0.6278192","0.6062997","0.59552294","0.59278333","0.5924738","0.5892015","0.57887715","0.5772586","0.5722492","0.57131547","0.5701967","0.56974494","0.5684051","0.56797975","0.5674536","0.56544673","0.56248695","0.56169355","0.5615452","0.5615084","0.5609633","0.5572741","0.5559083","0.55503684","0.554845","0.5535275","0.55209714","0.5513001","0.55114007","0.5510055","0.5498293","0.5488629","0.5487304","0.5485711","0.54814714","0.5477473","0.54745823","0.5471983","0.5468211","0.54629815","0.5461889","0.54582906","0.5458229","0.5454234","0.5448863","0.5443892","0.54383856","0.54339194","0.54260546","0.54260546","0.54260546","0.54260546","0.54260546","0.54260546","0.54258305","0.5419349","0.5419296","0.5418712","0.5416416","0.54146165","0.5414558","0.54107666","0.54105645","0.5401131","0.5399855","0.5396277","0.5393383","0.5393299","0.5393053","0.5391967","0.5387124","0.538534","0.5380736","0.53777975","0.53760105","0.53745097","0.5362332","0.5356375","0.53527546","0.535159","0.5351024","0.53450966","0.5342199","0.5337651","0.53334945","0.53312486","0.5328259","0.5327727","0.53276604","0.5326026","0.53253585","0.53198886","0.5318341","0.53170645","0.53170526","0.5311619","0.5310434","0.5305978","0.5293369"],"string":"[\n \"0.6496471\",\n \"0.6278192\",\n \"0.6062997\",\n \"0.59552294\",\n \"0.59278333\",\n \"0.5924738\",\n \"0.5892015\",\n \"0.57887715\",\n \"0.5772586\",\n \"0.5722492\",\n \"0.57131547\",\n \"0.5701967\",\n \"0.56974494\",\n \"0.5684051\",\n \"0.56797975\",\n \"0.5674536\",\n \"0.56544673\",\n \"0.56248695\",\n \"0.56169355\",\n \"0.5615452\",\n \"0.5615084\",\n \"0.5609633\",\n \"0.5572741\",\n \"0.5559083\",\n \"0.55503684\",\n \"0.554845\",\n \"0.5535275\",\n \"0.55209714\",\n \"0.5513001\",\n \"0.55114007\",\n \"0.5510055\",\n \"0.5498293\",\n \"0.5488629\",\n \"0.5487304\",\n \"0.5485711\",\n \"0.54814714\",\n \"0.5477473\",\n \"0.54745823\",\n \"0.5471983\",\n \"0.5468211\",\n \"0.54629815\",\n \"0.5461889\",\n \"0.54582906\",\n \"0.5458229\",\n \"0.5454234\",\n \"0.5448863\",\n \"0.5443892\",\n \"0.54383856\",\n \"0.54339194\",\n \"0.54260546\",\n \"0.54260546\",\n \"0.54260546\",\n \"0.54260546\",\n \"0.54260546\",\n \"0.54260546\",\n \"0.54258305\",\n \"0.5419349\",\n \"0.5419296\",\n \"0.5418712\",\n \"0.5416416\",\n \"0.54146165\",\n \"0.5414558\",\n \"0.54107666\",\n \"0.54105645\",\n \"0.5401131\",\n \"0.5399855\",\n \"0.5396277\",\n \"0.5393383\",\n \"0.5393299\",\n \"0.5393053\",\n \"0.5391967\",\n \"0.5387124\",\n \"0.538534\",\n \"0.5380736\",\n \"0.53777975\",\n \"0.53760105\",\n \"0.53745097\",\n \"0.5362332\",\n \"0.5356375\",\n \"0.53527546\",\n \"0.535159\",\n \"0.5351024\",\n \"0.53450966\",\n \"0.5342199\",\n \"0.5337651\",\n \"0.53334945\",\n \"0.53312486\",\n \"0.5328259\",\n \"0.5327727\",\n \"0.53276604\",\n \"0.5326026\",\n \"0.53253585\",\n \"0.53198886\",\n \"0.5318341\",\n \"0.53170645\",\n \"0.53170526\",\n \"0.5311619\",\n \"0.5310434\",\n \"0.5305978\",\n \"0.5293369\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.7209175"},"document_rank":{"kind":"string","value":"0"}}},{"rowIdx":20491,"cells":{"query":{"kind":"string","value":"Finalize the NFVI compute package"},"document":{"kind":"string","value":"def nfvi_compute_finalize():\n if _compute_plugin is not None:\n _compute_plugin.finalize()"},"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 finalize(self):\n self.classifier.finalize()","def finalize(self):\n pass\n #fftw2py.clean_fftw_solver(self.output_field.dimension)","def finalize(self):\n self.report('Finalizing optimization procedure.')\n with self.optimizer() as opt:\n optimal_process_output = opt.result_value\n optimal_process_output.store()\n self.out('optimal_process_output', optimal_process_output)\n result_index = opt.result_index\n optimal_process = self.ctx[self.eval_key(result_index)]\n self.out('optimal_process_uuid', Str(optimal_process.uuid).store())","def finalize():","def finalize():","def finalize():","def finalize(self):\n print('Cleaning up...')","def finalize(self):\n\t\tself.logger.info(\"Please wait while finalizing the operation.. Thank you\")\n\t\tself.save_checkpoint()\n\t\tself.summary_writer.export_scalars_to_json(\"{}all_scalars.json\".format(self.config.summary_dir))\n\t\tself.summary_writer.close()\n\t\tself.data_loader.finalize()\n\t\tif self.config.output_model == True:\n\t\t\ttry:\n\t\t\t\tself.logger.info('Saving model for external usage.')\n\t\t\t\tself.load_checkpoint('model_best.pth.tar')\n\t\t\t\ttraced = torch.jit.trace(self.model,self.data_loader.train_loader.dataset[:2][0].float().to(self.device))\n\t\t\t\ttraced.save(self.config.output_model_path)\n\t\t\texcept IOError:\n\t\t\t\tself.logger.info('Output model path not found.')","def finalize(self):","def finalize(self):","def Finalize():\n pass","def finalize(self):\r\n self.outfile_param.close()\r\n self.outfile_sim.close()","def Finalize(self):\n return _gmat_py.ICRFFile_Finalize(self)","def finalize(self):\n self._iou_ap.compute_ap_curve()\n self._pixel_ap.compute_ap_curve()\n self._azimuth_ap.compute_ap_curve()\n self._polar_ap.compute_ap_curve()","def finalize(self):\n if self.rank > 0:\n return\n\n self._check_all_files_are_saved()\n self._collect_embedding_id_offset()\n\n self._build_ivf()\n self._update_metadata()","def finalize(self, *args, **kwargs):\n self._add_all_odes_to_interface()\n self._transform_derivatives_on_rhs()\n super(InterfaceGenerator, self).finalize(*args, **kwargs)","def _finalize(self):\n if self.vcount > 1:\n # skewness = g1 = sqrt(n) M3/(M2^(3/2)) # zero \n # kurtosis = g2 = n M4/M2^2 - 3 # zero for normal\n # sk = (M3/nf)/(sigma**3)\n # ku = (M4/nf)/sigma**4 - 3\n n = self.vcount\n nf = float(n)\n mu2 = self.vm2/nf\n self.vvar = self.vm2/(nf-1)\n try:\n self.vskewness = self.vm3/nf/(mu2**1.5)\n self.vkurtosis = self.vm4/nf/(mu2**2)\n except:\n self.vskewness = 0\n self.vkurtosis = 0\n elif self.vcount == 1:\n self.vvar = 0\n self.vskewness = 0\n self.vkurtosis = 0\n self.dirty = False","def finalize(self):\n pass","def finalize(self):\n pass","def finalize(self):\n pass","def finalize(self):\n pass","def finalize(self):\n pass","def finalize(self):\n pass","def finalize(self):\r\n pass","def finalize():\n pass","def finalize():\n pass","def finalize(self) -> None:\n pass","def finalize() -> None:\n collective.finalize()","def finalize():\n global interpreter\n del interpreter\n blotish._cleanup()\n\n # Set the progress printing state to whatever it was before\n import paraview.servermanager\n global wasProgressPrinting\n paraview.servermanager.SetProgressPrintingEnabled(wasProgressPrinting)","def finalize(self): # real signature unknown; restored from __doc__\n pass","def finalize():\n\n print(\"\"\"\n The script analysis/sedov_compare.py can be used to analyze these\n results. That will perform an average at constant radius and\n compare the radial profiles to the exact solution. Sample exact\n data is provided as analysis/cylindrical-sedov.out\n \"\"\")","def finalize(self):\n # 027 Not needed in the simple FilesAdaptor. \n pass","def ExecuteFinalizeSolutionStep(self):\n for process in self.aux_processes:\n process.ExecuteFinalizeSolutionStep()","def end(self):\n self.solver = None\n # Other resources not released because can be called after the end\n #self.model = None\n #self.params = None\n #self.context = None","def finalize():\n global interpreter\n interpreter = None\n global doProgressToggle\n if doProgressToggle: paraview.servermanager.ToggleProgressPrinting()","def finalize(self):\n self.lib.xcloc_finalize()\n self.linit = False\n return","def finalise(self):","def finalizeFeatures(self):\n pass","def finalize(self):\n return","def finalize_fields(self):\n \n # Commented out until the MPI implementation is ready\n self.comm.allreduce(self.delta_P_dc, op=mpi.SUM)\n self.comm.allreduce(self.delta_P_omega, op=mpi.SUM)\n\n self.dc_coords[:,:,0] += self.delta_P_dc[:,:]\n self.omega_coords[:,:,0] += self.delta_P_omega[:,:]\n\n self.delta_P_dc = np.zeros((self.n_modes_z,self.n_modes_r))\n self.delta_P_omega = np.zeros((self.n_modes_z,self.n_modes_r))","def finalize(self):\n if self.status != 'Camera is idle, waiting for instructions.':\n self.abort_acquisition()\n self.cooler_on = False\n self.free_int_mem()\n self.lib.ShutDown()","def finalize(self):\n raise NotImplementedError('Must be implemented in subclasses.')","def final_cleanup(self):\n raise NotImplementedError()","def finalize(self, interrupted=False):\n pass","def finalize(self) -> None:\n # Finalize function of bmi class of lisflood is kaput, so not calling it\n del self._bmi","def finalize(self, ):\n dat = self.outd\n for nm in set(data_defs.keys()) - self.vars_read:\n _pop(dat, nm)\n for nm in self.cfg:\n dat['attrs'][nm] = self.cfg[nm]\n dat['attrs']['fs'] = (dat['attrs']['sec_between_ping_groups'] *\n dat['attrs']['pings_per_ensemble']) ** (-1)\n for nm in data_defs:\n shp = data_defs[nm][0]\n if len(shp) and shp[0] == 'nc' and _in_group(dat, nm):\n _setd(dat, nm, np.swapaxes(_get(dat, nm), 0, 1))","def do_finalize():\n\tdef _finalize(shutit):\n\t\t# Stop all the modules\n\t\tshutit.stop_all()\n\t\t# Finalize in reverse order\n\t\tshutit.log('PHASE: finalizing object ' + str(shutit), level=logging.DEBUG)\n\t\t# Login at least once to get the exports.\n\t\tfor module_id in shutit.module_ids(rev=True):\n\t\t\t# Only finalize if it's thought to be installed.\n\t\t\tif shutit.is_installed(shutit.shutit_map[module_id]):\n\t\t\t\tshutit.login(prompt_prefix=module_id,command=shutit_global.shutit_global_object.bash_startup_command,echo=False)\n\t\t\t\tif not shutit.shutit_map[module_id].finalize(shutit):\n\t\t\t\t\tshutit.fail(module_id + ' failed on finalize', shutit_pexpect_child=shutit.get_shutit_pexpect_session_from_id('target_child').pexpect_child) # pragma: no cover\n\t\t\t\tshutit.logout(echo=False)\n\t\tfor fshutit in shutit_global.shutit_global_object.shutit_objects:\n\t\t\t_finalize(fshutit)","def finalize(self):\n # first resolve all base classes so we can fetch cpp annotation from bases\n self._resolve_base_classes()\n # remove all objects from export who aren't annotated\n self.functions = self._clear_unused(self.functions)\n self.classes = self._clear_unused(self.classes)\n for i in self.classes:\n i.functions = self._clear_unused(i.functions)\n i.properties = self._clear_unused(i.properties)\n\n self.all_objects = self.functions + self.classes","def finalize(self):\n self.thread.quit()\n self.color.release()\n self.pos.release()\n\n if self.initCoordinates.f_timer is not None:\n for f_timer in self.initCoordinates.f_timer:\n self.timer.addFunctionTimer(f_timer)\n if self.numMethod.f_timer is not None:\n for f_timer in self.numMethod.f_timer:\n self.timer.addFunctionTimer(f_timer)","def cleanup():\n # global the_vx_ifc\n print(\"\\n cleaning up...\", end=' ')\n the_vx_ifc.close()\n print('connections closed\\n')","def finalize(self):\r\n\r\n self.find_parents()\r\n self.order_vertices()\r\n self.set_rotation_matrices()","def cleanup(self):\n self.GP.cleanup()","def __exit__(self, exc_type, exc_value, traceback):\n nvmlShutdown()","def finalize(self):\n self.total_priors = np.sum(list(self.priors.values()))\n self.total_blocks = np.sum(list(self.nblocks.values()))\n self.total_fitness = np.sum(list(self.fitness.values()))\n self.blocks = BedTool.from_dataframe(self.df)","def terminated(self):\n gc3libs.log.debug(\" ...done.\")","def tearDownClass(cls):\n cls.runModule(\"g.remove\", flags=\"rf\", type=\"vector\",\n name=\"gbif_poa3\")\n cls.del_temp_region()","def finalize(self):\n\n if self.finalized:\n return\n\n # Instantiate radial cells\n for pin in self.pincells:\n if isinstance(pin, InfinitePinCell) and not pin.finalized:\n pin.finalize()\n \n # Instantiate the axial cells\n for i, (pin, plane) in enumerate(zip(self.pincells, self.axials)):\n\n label = \"{0} axial {1}: {2}\".format(self.name, i, pin.name)\n cell = openmc.Cell(name=label, fill=pin)\n\n if i == 0:\n # Bottom section\n cell.region = -plane\n\n else:\n # Middle section\n cell.region = -plane & +self.axials[i-1]\n\n self.add_cell(cell)\n\n # Top section\n label = \"{0} axial top: {1}\".format(self.name, self.pincells[-1].name)\n cell = openmc.Cell(name=label, fill=self.pincells[-1])\n cell.region = +self.axials[-1]\n \n self.add_cell(cell)\n \n self.finalized = True","def finalize_task(self):\n pass","def _finalise_construction(self):\n pass","def finalize(self, vark, varg):\n self._finalize()\n self._var_num = vark * varg","def clean_up(self):\n dist.destroy_process_group()","def finalize(self, **kwargs: Any) -> None:\n pass","def cleanup(self):","def cleanup(self):","def cleanup(self):","def clean_up(self) -> None:\n print('Doing some clean-up work...')","def do_finalize(self):\n\t\tshutit_global.shutit_global_object.yield_to_draw()\n\t\tdef _finalize(self):\n\t\t\t# Stop all the modules\n\t\t\tself.stop_all()\n\t\t\t# Finalize in reverse order\n\t\t\tself.log('PHASE: finalizing object ' + str(self), level=logging.DEBUG)\n\t\t\t# Login at least once to get the exports.\n\t\t\tfor module_id in self.module_ids(rev=True):\n\t\t\t\t# Only finalize if it's thought to be installed.\n\t\t\t\tif self.is_installed(self.shutit_map[module_id]):\n\t\t\t\t\tself.login(prompt_prefix=module_id,command=shutit_global.shutit_global_object.bash_startup_command,echo=False)\n\t\t\t\t\tif not self.shutit_map[module_id].finalize(self):\n\t\t\t\t\t\tself.fail(module_id + ' failed on finalize', shutit_pexpect_child=self.get_shutit_pexpect_session_from_id('target_child').pexpect_child) # pragma: no cover\n\t\t\t\t\tself.logout(echo=False)\n\t\t_finalize(self)","def cleanup():","def cleanup(self):\n\t\tself.pb.cleanup()\n\t\tsys.exit()","def _create_finalized_model(self, dataset):\n\n logger.info(\"Start Model Finalization...\")\n self._qcbev_model, self._layer_metadata = self._quantizer.create_finalize_model(\n refined_model=self._qcbev_model,\n candidate_layers=self._candidate_layers,\n layer_metadata=self._layer_metadata,\n quantize_strategy=self._quantize_strategy,\n dataset=dataset)\n logger.info(\"Model Finalization Done.\")","def finalize(self):\n import pickle\n logger.info('*** crash task summary:')\n logger.info('*** N: %d',self.N)\n logger.info('*** done_counter: %d',self.done_counter)\n logger.info('*** completed_counter: %d',self.completed_counter)\n logger.info('*** ignored_counter: %d',self.ignored_counter)\n pickle.dump(self,file('crash.pp','w'))","def ExecuteFinalizeSolutionStep(self):\n i = 0\n for entity, area_coords in zip(self.entities, self.area_coords):\n for v, var in enumerate(self.variables):\n value = Interpolate(var, entity, area_coords, historical_value=True)\n self.values[i][v] = max(self.values[i][v], value)\n for v, var in enumerate(self.nonhistorical_variables):\n value = Interpolate(var, entity, area_coords, historical_value=False)\n self.values[i][v] = max(self.values[i][v], value)\n i += 1","def finalize(self):\n if self.node_sharing:\n ## finalize just one node,\n self.pipes[0][0].send(\"finalize\")\n self.pipes[0][0].recv()\n\n ## then clone its state\n ## into all the other nodes\n self.pipes[0][0].send(\"clone_state\")\n state = self.pipes[0][0].recv()\n\n for i in range(len(self.nodes)):\n for j in range(len(self.nodes[i])):\n if i == 0 and j == 0: continue\n self.pipes[i][j].send((\"set_state\", state))\n\n else:\n ## finalize each node separately\n ## finalization is not done in parallel\n ## due to memory issues\n for i in range(len(self.nodes)):\n for j in range(len(self.nodes[i])):\n self.pipes[i][j].send(\"finalize\")\n self.pipes[i][j].recv()\n\n # ## wait for the finalization to be completed\n # for i in range(len(self.nodes)):\n # for j in range(len(self.nodes[i])):\n # self.pipes[i][j].recv()","def free(self):\n self.linit = False\n self.nx = 0\n self.nz = 0\n self.nsrc = 0\n self.nrec = 0\n self.fteik2d.fteik_solver2d_free()\n return","def finalize(self):\n super().finalize()\n self.save_run_data()","def FinalizeCallback(self, unused_finalize_ret):\n tf.logging.info('ExperimentalDecodeProgram skip FinalizeCallback.')","def finalize_workflow(self):\n self._workflow_id = None\n self._gdb_interface.cleanup()","def close(self) -> None:\n lib.Fapi_Finalize(self._ctx_pp)","def end(self):\n self.flush()\n\n # Free some memory and disk space\n self._plugins_dict = {}\n self._options_dict = {}\n self._scan_targets = None\n self._errors.cleanup()\n self._jinja2_env = None","def FinalizeCallback(self, unused_finalize_ret):\n tf.logging.info('DecodeProgram skip FinalizeCallback.')","def finalize(self):\n with runez.Anchored(self.folder):\n runez.ensure_folder(self.build)\n CFG.set_base(self.build)\n pspec = PackageSpec(CFG, specced(self.package_name, self.package_version))\n exes = PACKAGER.package(pspec, self.build, runez.resolved_path(self.dist), self.requirements)\n if exes:\n report = PrettyTable([\"Executable\", self.sanity_check], border=self.border)\n report.header.style = \"bold\"\n if not self.sanity_check:\n report.header[1].shown = False\n\n for exe in exes:\n exe_info = None\n if self.sanity_check:\n r = runez.run(exe, self.sanity_check)\n exe_info = r.output or r.error\n\n report.add_row(runez.quoted(exe), exe_info)\n if self.symlink and exe and self.root:\n self.symlink.apply(exe, self.root)\n\n return report","def _final_cleanup(self):\n # Clean up and remove the temporary gisdbase\n self._cleanup()\n # Remove resource directories\n if \"error\" in self.run_state or \"terminated\" in self.run_state:\n self.storage_interface.remove_resources()","def clean_up(self):\n cv2.destroyAllWindows()\n # self.vs.release()","def _cleanup(self):\n\n self.netIns = []\n self.netOuts = []\n self.Gradients = [None]*self.size","def finalize_integration(self, **kwargs):","def cleanup(self):\r\n print(\"Cleanup not implemented\")","def cleanup_revpi(self):\n self.rpi.core.a1green.value = False\n self.rpi.core.a1red.value = False\n self.rpi.io.main_relay.value = False\n self.rpi.io.relay_1.value = False\n self.rpi.io.relay_2.value = False\n self.rpi = revpimodio2.RevPiModIO(autorefresh=False)\n self.opc_server.stop()\n print(\"exit\")\n # self.master.destroy()\n exit(1)","def cleanup(self):\r\n pass","def finalize(self): # pylint: disable=no-self-use\n return","def vscp_pythia_cleanup(self):\n vscp_pythia_cleanup = self._lib.vscp_pythia_cleanup\n vscp_pythia_cleanup.argtypes = []\n vscp_pythia_cleanup.restype = None\n return vscp_pythia_cleanup()","def __exit__(self, exec_type, exec_value, traceback):\n #TODO: probably should shut down the visualization server component gracefully here","def finalize(self):\n if not self.inputs.clean_workdir:\n return\n cleaned_calcs = []\n for calculation in self.ctx.calculations:\n try:\n # noinspection PyProtectedMember\n calculation.outputs.remote_folder._clean()\n cleaned_calcs.append(calculation)\n except ValueError as ex:\n self.logger.warning(\"Exception caught while cleaning remote folders: {}\".format(ex))\n if cleaned_calcs:\n self.report('Cleaned remote folders of calculations: {}'.format(' '.join(map(str, cleaned_calcs))))","def Finish(self):\n pass","def finalize(self):\n self.stop()","def finalize(self):\n if self.logging:\n self.train_writer.close()","def cleanup(self):\n if self._status == 0:\n self.flag = 0\n else:\n self.flag = 2\n\n self.final_params = self._popt","def exit():\n if configuration['print_cache_size'] and COMM_WORLD.rank == 0:\n from caching import report_cache, Cached, ObjectCached\n print('**** PyOP2 cache sizes at exit ****')\n report_cache(typ=ObjectCached)\n report_cache(typ=Cached)\n configuration.reset()\n global _initialised\n _initialised = False","def cleanup (self):\n pass","def cleanUp():\n pass","def cleanup():\n dist.destroy_process_group()"],"string":"[\n \"def finalize(self):\\n self.classifier.finalize()\",\n \"def finalize(self):\\n pass\\n #fftw2py.clean_fftw_solver(self.output_field.dimension)\",\n \"def finalize(self):\\n self.report('Finalizing optimization procedure.')\\n with self.optimizer() as opt:\\n optimal_process_output = opt.result_value\\n optimal_process_output.store()\\n self.out('optimal_process_output', optimal_process_output)\\n result_index = opt.result_index\\n optimal_process = self.ctx[self.eval_key(result_index)]\\n self.out('optimal_process_uuid', Str(optimal_process.uuid).store())\",\n \"def finalize():\",\n \"def finalize():\",\n \"def finalize():\",\n \"def finalize(self):\\n print('Cleaning up...')\",\n \"def finalize(self):\\n\\t\\tself.logger.info(\\\"Please wait while finalizing the operation.. Thank you\\\")\\n\\t\\tself.save_checkpoint()\\n\\t\\tself.summary_writer.export_scalars_to_json(\\\"{}all_scalars.json\\\".format(self.config.summary_dir))\\n\\t\\tself.summary_writer.close()\\n\\t\\tself.data_loader.finalize()\\n\\t\\tif self.config.output_model == True:\\n\\t\\t\\ttry:\\n\\t\\t\\t\\tself.logger.info('Saving model for external usage.')\\n\\t\\t\\t\\tself.load_checkpoint('model_best.pth.tar')\\n\\t\\t\\t\\ttraced = torch.jit.trace(self.model,self.data_loader.train_loader.dataset[:2][0].float().to(self.device))\\n\\t\\t\\t\\ttraced.save(self.config.output_model_path)\\n\\t\\t\\texcept IOError:\\n\\t\\t\\t\\tself.logger.info('Output model path not found.')\",\n \"def finalize(self):\",\n \"def finalize(self):\",\n \"def Finalize():\\n pass\",\n \"def finalize(self):\\r\\n self.outfile_param.close()\\r\\n self.outfile_sim.close()\",\n \"def Finalize(self):\\n return _gmat_py.ICRFFile_Finalize(self)\",\n \"def finalize(self):\\n self._iou_ap.compute_ap_curve()\\n self._pixel_ap.compute_ap_curve()\\n self._azimuth_ap.compute_ap_curve()\\n self._polar_ap.compute_ap_curve()\",\n \"def finalize(self):\\n if self.rank > 0:\\n return\\n\\n self._check_all_files_are_saved()\\n self._collect_embedding_id_offset()\\n\\n self._build_ivf()\\n self._update_metadata()\",\n \"def finalize(self, *args, **kwargs):\\n self._add_all_odes_to_interface()\\n self._transform_derivatives_on_rhs()\\n super(InterfaceGenerator, self).finalize(*args, **kwargs)\",\n \"def _finalize(self):\\n if self.vcount > 1:\\n # skewness = g1 = sqrt(n) M3/(M2^(3/2)) # zero \\n # kurtosis = g2 = n M4/M2^2 - 3 # zero for normal\\n # sk = (M3/nf)/(sigma**3)\\n # ku = (M4/nf)/sigma**4 - 3\\n n = self.vcount\\n nf = float(n)\\n mu2 = self.vm2/nf\\n self.vvar = self.vm2/(nf-1)\\n try:\\n self.vskewness = self.vm3/nf/(mu2**1.5)\\n self.vkurtosis = self.vm4/nf/(mu2**2)\\n except:\\n self.vskewness = 0\\n self.vkurtosis = 0\\n elif self.vcount == 1:\\n self.vvar = 0\\n self.vskewness = 0\\n self.vkurtosis = 0\\n self.dirty = False\",\n \"def finalize(self):\\n pass\",\n \"def finalize(self):\\n pass\",\n \"def finalize(self):\\n pass\",\n \"def finalize(self):\\n pass\",\n \"def finalize(self):\\n pass\",\n \"def finalize(self):\\n pass\",\n \"def finalize(self):\\r\\n pass\",\n \"def finalize():\\n pass\",\n \"def finalize():\\n pass\",\n \"def finalize(self) -> None:\\n pass\",\n \"def finalize() -> None:\\n collective.finalize()\",\n \"def finalize():\\n global interpreter\\n del interpreter\\n blotish._cleanup()\\n\\n # Set the progress printing state to whatever it was before\\n import paraview.servermanager\\n global wasProgressPrinting\\n paraview.servermanager.SetProgressPrintingEnabled(wasProgressPrinting)\",\n \"def finalize(self): # real signature unknown; restored from __doc__\\n pass\",\n \"def finalize():\\n\\n print(\\\"\\\"\\\"\\n The script analysis/sedov_compare.py can be used to analyze these\\n results. That will perform an average at constant radius and\\n compare the radial profiles to the exact solution. Sample exact\\n data is provided as analysis/cylindrical-sedov.out\\n \\\"\\\"\\\")\",\n \"def finalize(self):\\n # 027 Not needed in the simple FilesAdaptor. \\n pass\",\n \"def ExecuteFinalizeSolutionStep(self):\\n for process in self.aux_processes:\\n process.ExecuteFinalizeSolutionStep()\",\n \"def end(self):\\n self.solver = None\\n # Other resources not released because can be called after the end\\n #self.model = None\\n #self.params = None\\n #self.context = None\",\n \"def finalize():\\n global interpreter\\n interpreter = None\\n global doProgressToggle\\n if doProgressToggle: paraview.servermanager.ToggleProgressPrinting()\",\n \"def finalize(self):\\n self.lib.xcloc_finalize()\\n self.linit = False\\n return\",\n \"def finalise(self):\",\n \"def finalizeFeatures(self):\\n pass\",\n \"def finalize(self):\\n return\",\n \"def finalize_fields(self):\\n \\n # Commented out until the MPI implementation is ready\\n self.comm.allreduce(self.delta_P_dc, op=mpi.SUM)\\n self.comm.allreduce(self.delta_P_omega, op=mpi.SUM)\\n\\n self.dc_coords[:,:,0] += self.delta_P_dc[:,:]\\n self.omega_coords[:,:,0] += self.delta_P_omega[:,:]\\n\\n self.delta_P_dc = np.zeros((self.n_modes_z,self.n_modes_r))\\n self.delta_P_omega = np.zeros((self.n_modes_z,self.n_modes_r))\",\n \"def finalize(self):\\n if self.status != 'Camera is idle, waiting for instructions.':\\n self.abort_acquisition()\\n self.cooler_on = False\\n self.free_int_mem()\\n self.lib.ShutDown()\",\n \"def finalize(self):\\n raise NotImplementedError('Must be implemented in subclasses.')\",\n \"def final_cleanup(self):\\n raise NotImplementedError()\",\n \"def finalize(self, interrupted=False):\\n pass\",\n \"def finalize(self) -> None:\\n # Finalize function of bmi class of lisflood is kaput, so not calling it\\n del self._bmi\",\n \"def finalize(self, ):\\n dat = self.outd\\n for nm in set(data_defs.keys()) - self.vars_read:\\n _pop(dat, nm)\\n for nm in self.cfg:\\n dat['attrs'][nm] = self.cfg[nm]\\n dat['attrs']['fs'] = (dat['attrs']['sec_between_ping_groups'] *\\n dat['attrs']['pings_per_ensemble']) ** (-1)\\n for nm in data_defs:\\n shp = data_defs[nm][0]\\n if len(shp) and shp[0] == 'nc' and _in_group(dat, nm):\\n _setd(dat, nm, np.swapaxes(_get(dat, nm), 0, 1))\",\n \"def do_finalize():\\n\\tdef _finalize(shutit):\\n\\t\\t# Stop all the modules\\n\\t\\tshutit.stop_all()\\n\\t\\t# Finalize in reverse order\\n\\t\\tshutit.log('PHASE: finalizing object ' + str(shutit), level=logging.DEBUG)\\n\\t\\t# Login at least once to get the exports.\\n\\t\\tfor module_id in shutit.module_ids(rev=True):\\n\\t\\t\\t# Only finalize if it's thought to be installed.\\n\\t\\t\\tif shutit.is_installed(shutit.shutit_map[module_id]):\\n\\t\\t\\t\\tshutit.login(prompt_prefix=module_id,command=shutit_global.shutit_global_object.bash_startup_command,echo=False)\\n\\t\\t\\t\\tif not shutit.shutit_map[module_id].finalize(shutit):\\n\\t\\t\\t\\t\\tshutit.fail(module_id + ' failed on finalize', shutit_pexpect_child=shutit.get_shutit_pexpect_session_from_id('target_child').pexpect_child) # pragma: no cover\\n\\t\\t\\t\\tshutit.logout(echo=False)\\n\\t\\tfor fshutit in shutit_global.shutit_global_object.shutit_objects:\\n\\t\\t\\t_finalize(fshutit)\",\n \"def finalize(self):\\n # first resolve all base classes so we can fetch cpp annotation from bases\\n self._resolve_base_classes()\\n # remove all objects from export who aren't annotated\\n self.functions = self._clear_unused(self.functions)\\n self.classes = self._clear_unused(self.classes)\\n for i in self.classes:\\n i.functions = self._clear_unused(i.functions)\\n i.properties = self._clear_unused(i.properties)\\n\\n self.all_objects = self.functions + self.classes\",\n \"def finalize(self):\\n self.thread.quit()\\n self.color.release()\\n self.pos.release()\\n\\n if self.initCoordinates.f_timer is not None:\\n for f_timer in self.initCoordinates.f_timer:\\n self.timer.addFunctionTimer(f_timer)\\n if self.numMethod.f_timer is not None:\\n for f_timer in self.numMethod.f_timer:\\n self.timer.addFunctionTimer(f_timer)\",\n \"def cleanup():\\n # global the_vx_ifc\\n print(\\\"\\\\n cleaning up...\\\", end=' ')\\n the_vx_ifc.close()\\n print('connections closed\\\\n')\",\n \"def finalize(self):\\r\\n\\r\\n self.find_parents()\\r\\n self.order_vertices()\\r\\n self.set_rotation_matrices()\",\n \"def cleanup(self):\\n self.GP.cleanup()\",\n \"def __exit__(self, exc_type, exc_value, traceback):\\n nvmlShutdown()\",\n \"def finalize(self):\\n self.total_priors = np.sum(list(self.priors.values()))\\n self.total_blocks = np.sum(list(self.nblocks.values()))\\n self.total_fitness = np.sum(list(self.fitness.values()))\\n self.blocks = BedTool.from_dataframe(self.df)\",\n \"def terminated(self):\\n gc3libs.log.debug(\\\" ...done.\\\")\",\n \"def tearDownClass(cls):\\n cls.runModule(\\\"g.remove\\\", flags=\\\"rf\\\", type=\\\"vector\\\",\\n name=\\\"gbif_poa3\\\")\\n cls.del_temp_region()\",\n \"def finalize(self):\\n\\n if self.finalized:\\n return\\n\\n # Instantiate radial cells\\n for pin in self.pincells:\\n if isinstance(pin, InfinitePinCell) and not pin.finalized:\\n pin.finalize()\\n \\n # Instantiate the axial cells\\n for i, (pin, plane) in enumerate(zip(self.pincells, self.axials)):\\n\\n label = \\\"{0} axial {1}: {2}\\\".format(self.name, i, pin.name)\\n cell = openmc.Cell(name=label, fill=pin)\\n\\n if i == 0:\\n # Bottom section\\n cell.region = -plane\\n\\n else:\\n # Middle section\\n cell.region = -plane & +self.axials[i-1]\\n\\n self.add_cell(cell)\\n\\n # Top section\\n label = \\\"{0} axial top: {1}\\\".format(self.name, self.pincells[-1].name)\\n cell = openmc.Cell(name=label, fill=self.pincells[-1])\\n cell.region = +self.axials[-1]\\n \\n self.add_cell(cell)\\n \\n self.finalized = True\",\n \"def finalize_task(self):\\n pass\",\n \"def _finalise_construction(self):\\n pass\",\n \"def finalize(self, vark, varg):\\n self._finalize()\\n self._var_num = vark * varg\",\n \"def clean_up(self):\\n dist.destroy_process_group()\",\n \"def finalize(self, **kwargs: Any) -> None:\\n pass\",\n \"def cleanup(self):\",\n \"def cleanup(self):\",\n \"def cleanup(self):\",\n \"def clean_up(self) -> None:\\n print('Doing some clean-up work...')\",\n \"def do_finalize(self):\\n\\t\\tshutit_global.shutit_global_object.yield_to_draw()\\n\\t\\tdef _finalize(self):\\n\\t\\t\\t# Stop all the modules\\n\\t\\t\\tself.stop_all()\\n\\t\\t\\t# Finalize in reverse order\\n\\t\\t\\tself.log('PHASE: finalizing object ' + str(self), level=logging.DEBUG)\\n\\t\\t\\t# Login at least once to get the exports.\\n\\t\\t\\tfor module_id in self.module_ids(rev=True):\\n\\t\\t\\t\\t# Only finalize if it's thought to be installed.\\n\\t\\t\\t\\tif self.is_installed(self.shutit_map[module_id]):\\n\\t\\t\\t\\t\\tself.login(prompt_prefix=module_id,command=shutit_global.shutit_global_object.bash_startup_command,echo=False)\\n\\t\\t\\t\\t\\tif not self.shutit_map[module_id].finalize(self):\\n\\t\\t\\t\\t\\t\\tself.fail(module_id + ' failed on finalize', shutit_pexpect_child=self.get_shutit_pexpect_session_from_id('target_child').pexpect_child) # pragma: no cover\\n\\t\\t\\t\\t\\tself.logout(echo=False)\\n\\t\\t_finalize(self)\",\n \"def cleanup():\",\n \"def cleanup(self):\\n\\t\\tself.pb.cleanup()\\n\\t\\tsys.exit()\",\n \"def _create_finalized_model(self, dataset):\\n\\n logger.info(\\\"Start Model Finalization...\\\")\\n self._qcbev_model, self._layer_metadata = self._quantizer.create_finalize_model(\\n refined_model=self._qcbev_model,\\n candidate_layers=self._candidate_layers,\\n layer_metadata=self._layer_metadata,\\n quantize_strategy=self._quantize_strategy,\\n dataset=dataset)\\n logger.info(\\\"Model Finalization Done.\\\")\",\n \"def finalize(self):\\n import pickle\\n logger.info('*** crash task summary:')\\n logger.info('*** N: %d',self.N)\\n logger.info('*** done_counter: %d',self.done_counter)\\n logger.info('*** completed_counter: %d',self.completed_counter)\\n logger.info('*** ignored_counter: %d',self.ignored_counter)\\n pickle.dump(self,file('crash.pp','w'))\",\n \"def ExecuteFinalizeSolutionStep(self):\\n i = 0\\n for entity, area_coords in zip(self.entities, self.area_coords):\\n for v, var in enumerate(self.variables):\\n value = Interpolate(var, entity, area_coords, historical_value=True)\\n self.values[i][v] = max(self.values[i][v], value)\\n for v, var in enumerate(self.nonhistorical_variables):\\n value = Interpolate(var, entity, area_coords, historical_value=False)\\n self.values[i][v] = max(self.values[i][v], value)\\n i += 1\",\n \"def finalize(self):\\n if self.node_sharing:\\n ## finalize just one node,\\n self.pipes[0][0].send(\\\"finalize\\\")\\n self.pipes[0][0].recv()\\n\\n ## then clone its state\\n ## into all the other nodes\\n self.pipes[0][0].send(\\\"clone_state\\\")\\n state = self.pipes[0][0].recv()\\n\\n for i in range(len(self.nodes)):\\n for j in range(len(self.nodes[i])):\\n if i == 0 and j == 0: continue\\n self.pipes[i][j].send((\\\"set_state\\\", state))\\n\\n else:\\n ## finalize each node separately\\n ## finalization is not done in parallel\\n ## due to memory issues\\n for i in range(len(self.nodes)):\\n for j in range(len(self.nodes[i])):\\n self.pipes[i][j].send(\\\"finalize\\\")\\n self.pipes[i][j].recv()\\n\\n # ## wait for the finalization to be completed\\n # for i in range(len(self.nodes)):\\n # for j in range(len(self.nodes[i])):\\n # self.pipes[i][j].recv()\",\n \"def free(self):\\n self.linit = False\\n self.nx = 0\\n self.nz = 0\\n self.nsrc = 0\\n self.nrec = 0\\n self.fteik2d.fteik_solver2d_free()\\n return\",\n \"def finalize(self):\\n super().finalize()\\n self.save_run_data()\",\n \"def FinalizeCallback(self, unused_finalize_ret):\\n tf.logging.info('ExperimentalDecodeProgram skip FinalizeCallback.')\",\n \"def finalize_workflow(self):\\n self._workflow_id = None\\n self._gdb_interface.cleanup()\",\n \"def close(self) -> None:\\n lib.Fapi_Finalize(self._ctx_pp)\",\n \"def end(self):\\n self.flush()\\n\\n # Free some memory and disk space\\n self._plugins_dict = {}\\n self._options_dict = {}\\n self._scan_targets = None\\n self._errors.cleanup()\\n self._jinja2_env = None\",\n \"def FinalizeCallback(self, unused_finalize_ret):\\n tf.logging.info('DecodeProgram skip FinalizeCallback.')\",\n \"def finalize(self):\\n with runez.Anchored(self.folder):\\n runez.ensure_folder(self.build)\\n CFG.set_base(self.build)\\n pspec = PackageSpec(CFG, specced(self.package_name, self.package_version))\\n exes = PACKAGER.package(pspec, self.build, runez.resolved_path(self.dist), self.requirements)\\n if exes:\\n report = PrettyTable([\\\"Executable\\\", self.sanity_check], border=self.border)\\n report.header.style = \\\"bold\\\"\\n if not self.sanity_check:\\n report.header[1].shown = False\\n\\n for exe in exes:\\n exe_info = None\\n if self.sanity_check:\\n r = runez.run(exe, self.sanity_check)\\n exe_info = r.output or r.error\\n\\n report.add_row(runez.quoted(exe), exe_info)\\n if self.symlink and exe and self.root:\\n self.symlink.apply(exe, self.root)\\n\\n return report\",\n \"def _final_cleanup(self):\\n # Clean up and remove the temporary gisdbase\\n self._cleanup()\\n # Remove resource directories\\n if \\\"error\\\" in self.run_state or \\\"terminated\\\" in self.run_state:\\n self.storage_interface.remove_resources()\",\n \"def clean_up(self):\\n cv2.destroyAllWindows()\\n # self.vs.release()\",\n \"def _cleanup(self):\\n\\n self.netIns = []\\n self.netOuts = []\\n self.Gradients = [None]*self.size\",\n \"def finalize_integration(self, **kwargs):\",\n \"def cleanup(self):\\r\\n print(\\\"Cleanup not implemented\\\")\",\n \"def cleanup_revpi(self):\\n self.rpi.core.a1green.value = False\\n self.rpi.core.a1red.value = False\\n self.rpi.io.main_relay.value = False\\n self.rpi.io.relay_1.value = False\\n self.rpi.io.relay_2.value = False\\n self.rpi = revpimodio2.RevPiModIO(autorefresh=False)\\n self.opc_server.stop()\\n print(\\\"exit\\\")\\n # self.master.destroy()\\n exit(1)\",\n \"def cleanup(self):\\r\\n pass\",\n \"def finalize(self): # pylint: disable=no-self-use\\n return\",\n \"def vscp_pythia_cleanup(self):\\n vscp_pythia_cleanup = self._lib.vscp_pythia_cleanup\\n vscp_pythia_cleanup.argtypes = []\\n vscp_pythia_cleanup.restype = None\\n return vscp_pythia_cleanup()\",\n \"def __exit__(self, exec_type, exec_value, traceback):\\n #TODO: probably should shut down the visualization server component gracefully here\",\n \"def finalize(self):\\n if not self.inputs.clean_workdir:\\n return\\n cleaned_calcs = []\\n for calculation in self.ctx.calculations:\\n try:\\n # noinspection PyProtectedMember\\n calculation.outputs.remote_folder._clean()\\n cleaned_calcs.append(calculation)\\n except ValueError as ex:\\n self.logger.warning(\\\"Exception caught while cleaning remote folders: {}\\\".format(ex))\\n if cleaned_calcs:\\n self.report('Cleaned remote folders of calculations: {}'.format(' '.join(map(str, cleaned_calcs))))\",\n \"def Finish(self):\\n pass\",\n \"def finalize(self):\\n self.stop()\",\n \"def finalize(self):\\n if self.logging:\\n self.train_writer.close()\",\n \"def cleanup(self):\\n if self._status == 0:\\n self.flag = 0\\n else:\\n self.flag = 2\\n\\n self.final_params = self._popt\",\n \"def exit():\\n if configuration['print_cache_size'] and COMM_WORLD.rank == 0:\\n from caching import report_cache, Cached, ObjectCached\\n print('**** PyOP2 cache sizes at exit ****')\\n report_cache(typ=ObjectCached)\\n report_cache(typ=Cached)\\n configuration.reset()\\n global _initialised\\n _initialised = False\",\n \"def cleanup (self):\\n pass\",\n \"def cleanUp():\\n pass\",\n \"def cleanup():\\n dist.destroy_process_group()\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.6502741","0.650001","0.62286294","0.6211019","0.6211019","0.6211019","0.61800075","0.6171059","0.6159695","0.6159695","0.61318797","0.6069689","0.6061937","0.60552156","0.6054228","0.60331243","0.60229737","0.60056174","0.60056174","0.60056174","0.60056174","0.60056174","0.60056174","0.5980043","0.59737647","0.59737647","0.597142","0.5953966","0.5942039","0.5934185","0.5902553","0.5889857","0.58885735","0.5855533","0.5844159","0.58402467","0.58313775","0.5808783","0.58008033","0.5783035","0.5738077","0.573131","0.5728509","0.5720142","0.56890744","0.5685031","0.5671272","0.56647676","0.5653925","0.56059533","0.55513084","0.5544373","0.55403566","0.5536795","0.55272615","0.55062014","0.5504559","0.5501653","0.5489681","0.5487822","0.5471918","0.54488164","0.5448377","0.5448377","0.5448377","0.5445856","0.5445643","0.54326606","0.5432356","0.5422406","0.54094154","0.5407745","0.5395686","0.53953195","0.5381402","0.53805333","0.5375922","0.5359811","0.5342824","0.5324638","0.53190094","0.53097564","0.53069454","0.53069127","0.53055793","0.53039855","0.53025454","0.5298072","0.5285396","0.52802676","0.5274157","0.526966","0.5265015","0.5259127","0.5257544","0.52549946","0.52447754","0.5244271","0.5235906","0.5232766"],"string":"[\n \"0.6502741\",\n \"0.650001\",\n \"0.62286294\",\n \"0.6211019\",\n \"0.6211019\",\n \"0.6211019\",\n \"0.61800075\",\n \"0.6171059\",\n \"0.6159695\",\n \"0.6159695\",\n \"0.61318797\",\n \"0.6069689\",\n \"0.6061937\",\n \"0.60552156\",\n \"0.6054228\",\n \"0.60331243\",\n \"0.60229737\",\n \"0.60056174\",\n \"0.60056174\",\n \"0.60056174\",\n \"0.60056174\",\n \"0.60056174\",\n \"0.60056174\",\n \"0.5980043\",\n \"0.59737647\",\n \"0.59737647\",\n \"0.597142\",\n \"0.5953966\",\n \"0.5942039\",\n \"0.5934185\",\n \"0.5902553\",\n \"0.5889857\",\n \"0.58885735\",\n \"0.5855533\",\n \"0.5844159\",\n \"0.58402467\",\n \"0.58313775\",\n \"0.5808783\",\n \"0.58008033\",\n \"0.5783035\",\n \"0.5738077\",\n \"0.573131\",\n \"0.5728509\",\n \"0.5720142\",\n \"0.56890744\",\n \"0.5685031\",\n \"0.5671272\",\n \"0.56647676\",\n \"0.5653925\",\n \"0.56059533\",\n \"0.55513084\",\n \"0.5544373\",\n \"0.55403566\",\n \"0.5536795\",\n \"0.55272615\",\n \"0.55062014\",\n \"0.5504559\",\n \"0.5501653\",\n \"0.5489681\",\n \"0.5487822\",\n \"0.5471918\",\n \"0.54488164\",\n \"0.5448377\",\n \"0.5448377\",\n \"0.5448377\",\n \"0.5445856\",\n \"0.5445643\",\n \"0.54326606\",\n \"0.5432356\",\n \"0.5422406\",\n \"0.54094154\",\n \"0.5407745\",\n \"0.5395686\",\n \"0.53953195\",\n \"0.5381402\",\n \"0.53805333\",\n \"0.5375922\",\n \"0.5359811\",\n \"0.5342824\",\n \"0.5324638\",\n \"0.53190094\",\n \"0.53097564\",\n \"0.53069454\",\n \"0.53069127\",\n \"0.53055793\",\n \"0.53039855\",\n \"0.53025454\",\n \"0.5298072\",\n \"0.5285396\",\n \"0.52802676\",\n \"0.5274157\",\n \"0.526966\",\n \"0.5265015\",\n \"0.5259127\",\n \"0.5257544\",\n \"0.52549946\",\n \"0.52447754\",\n \"0.5244271\",\n \"0.5235906\",\n \"0.5232766\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.8275187"},"document_rank":{"kind":"string","value":"0"}}},{"rowIdx":20492,"cells":{"query":{"kind":"string","value":"Generate a string representation, mostly for debugging purposes"},"document":{"kind":"string","value":"def __str__(self):\n return \"%s (%s) - atomic number: %d, atomic weight: %g amu\" \\\n % (self.name, self.symbol, self.atomicNumber, self.atomicWeight)"},"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 toString():","def __str__(self):\n astr = '[\\n name: [ ' + self.name + ' ]\\n'\n astr += ' variables: [ '\n for var, init in self.variables:\n astr += '(' + var + ' := ' + init + '), '\n astr = astr[:-2] + ' ]\\n assumptions: [ '\n for assumption in self.assumptions:\n astr += assumption + ', '\n astr = astr[:-2] + ' ]\\n guarantees: [ '\n for guarantee in self.guarantees:\n astr += guarantee + ', '\n return astr[:-2] + ' ]\\n]'","def __str__(self):\n s = \"--\\n\"\n for element in self:\n s += element.__str__() + \"\\n\"\n s += \"--\"\n \"\"\"\n # Uncomment if you want to see the internal structure\n s = \"\\n--\\n\"\n for i in xrange(self.size):\n s += \"%d [%s, %s]\\n\" % ( i, self.slot[i], self.data[i] )\n s += \"--\"\n \"\"\"\n return s","def str(self):\n out = \"{0}:\".format(self.gtype) if self.gtype else \"\"\n out += \"{0}\".format(repr(self.coords))\n out += \"[{0}]\".format(str(self.goalPtr)) if self.goalPtr else \"\"\n return out","def to_str(self) -> str:","def __str__(self):\n s = []\n s.append('device %d' % self.ndevs_before)\n s.append('idcode 0x%08x' % self.idcode)\n s.append('irchain %s' % self.irchain_str())\n return ' '.join(s)","def __str__(self):\n result = ''\n result += '+---+\\n'\n for i in range(3):\n result += '|' + self[i*3] + self[i*3+1] + self[i*3+2] + '|\\n'\n result += '+---+'\n return result","def __str__(self):\n if self.f_has_range():\n lenstr = \"len:%d\" % self.f_get_range_length()\n else:\n lenstr = \"\"\n\n if self.v_comment:\n commentstr = \"`%s`\" % self.v_comment\n else:\n commentstr = \"\"\n\n if commentstr or lenstr:\n if commentstr and lenstr:\n combined_str = \"%s, %s\" % (lenstr, commentstr)\n elif commentstr:\n combined_str = commentstr\n elif lenstr:\n combined_str = lenstr\n else:\n raise RuntimeError(\"You shall not pass!\")\n\n infostr = \" (%s)\" % combined_str\n\n else:\n infostr = \"\"\n\n return_string = \"%s %s%s\" % (self.f_get_class_name(), self.v_full_name, infostr)\n\n if not self.f_is_empty():\n return_string += \": \" + self.f_val_to_str()\n\n return return_string","def toString(self) -> str:\n raise NotImplementedError","def __str__(self):\n astr = ' variables:\\t[ '\n for var in self.variables:\n astr += str(var) + ', '\n astr = astr[:-2] + ' ]\\n assumptions :\\t[ '\n for assumption in self.assumptions.cnf:\n astr += assumption.formula + ', '\n astr = astr[:-2] + ' ]\\n guarantees :\\t[ '\n for guarantee in self.guarantees.cnf:\n astr += guarantee.formula + ', '\n # astr = astr[:-2] + ' ]\\n guarantees_unsat :\\t[ '\n # for guarantee in self.guarantees.cnf:\n # astr += guarantee.unsaturated + ', '\n return astr[:-2] + ' ]\\n'","def __str__(self):\n class_name_str = str(self.__class__.__name__) + \": (\"\n head_str = str(self.head_vertex) + \", \"\n tail_str = str(self.tail_vertex) + \", \"\n weight_str = str(self.weight) + \")\"\n attributes_str = head_str + tail_str + weight_str\n str_rep = class_name_str + attributes_str\n return str_rep","def __str__(self):\n class_name_str = str(self.__class__.__name__) + \": (\"\n head_str = str(self.head_vertex) + \", \"\n tail_str = str(self.tail_vertex) + \", \"\n weight_str = str(self.weight) + \")\"\n attributes_str = head_str + tail_str + weight_str\n str_rep = class_name_str + attributes_str\n return str_rep","def __str__(self):\n\n result = \"n: \" + str(self.n) + \"\\n\"\n result += \"m: \" + str(self.m) + \"\\n\"\n result += \"ns: \" + str(self.ns) + \"\\n\"\n result += \"s0: \" + str(self.s0) + \"\\n\"\n result += \"goals: \" + str([self.goals[i] for i in range(self.ng)]) + \"\\n\"\n result += \"horizon: \" + str(self.horizon) + \"\\n\"\n result += \"gamma: \" + str(self.gamma) + \"\\n\\n\"\n\n result += \"S(s, a, s'):\\n%s\" % (str(np.array([self.S[i] \\\n for i in range(self.n * self.m * self.ns)]).reshape((self.n, self.m, self.ns)))) + \"\\n\\n\"\n\n result += \"T(s, a, s'):\\n%s\" % (str(np.array([self.T[i] \\\n for i in range(self.n * self.m * self.ns)]).reshape((self.n, self.m, self.ns)))) + \"\\n\\n\"\n\n result += \"R(s, a):\\n%s\" % (str(np.array([self.R[i] \\\n for i in range(self.n * self.m)]).reshape((self.n, self.m)))) + \"\\n\\n\"\n\n return result","def __str__(self):\n datastr = self.f_val_to_str()\n return_string = \"%s %s\" % (self.f_get_class_name(), self.v_full_name)\n if self.v_comment:\n return_string += \" (`%s`)\" % self.v_comment\n if datastr:\n return_string += \": \" + datastr\n\n return return_string","def __str__(self):\n table_data = [\n ['', 'C', 'G', 'A', 'T'],\n ['total', str(self.total['C']), str(self.total['G']), str(self.total['A']), str(self.total['T'])],\n ['reverse half strand', str(self.reverse['C']), str(self.reverse['G']), str(self.reverse['A']),\n str(self.reverse['T'])],\n ['forward half strand', str(self.forward['C']), str(self.forward['G']), str(self.forward['A']),\n str(self.forward['T'])]\n ]\n table = AsciiTable(table_data)\n return \"Generation #{}\\n\".format(self.epoch) + table.table","def __str__(self):\n sio = StringIO()\n # name:\n sio.write(self.name + \":\\n\")\n # Tags\n # - name: value\n for t, v in self.tags:\n sio.write('- ' + t + ': ' + v + '\\n')\n # Sets\n # a,b,d-f) w x r, w x r, [rest] work x rep\n sio.write(','.join(str(s.order) for s in self.sets) + ') ')\n sets = [str(s) for s in self.sets]\n sio.write(', '.join(sets) + '\\n')\n return sio.getvalue()","def __str__(self):\n segments = []\n if self.comment:\n segments.append('\"%s\"' % self.comment)\n if self.sg:\n if self.dbow_words:\n segments.append('dbow+w') # also training words\n else:\n segments.append('dbow') # PV-DBOW (skip-gram-style)\n\n else: # PV-DM...\n if self.dm_concat:\n segments.append('dm/c') # ...with concatenative context layer\n else:\n if self.cbow_mean:\n segments.append('dm/m')\n else:\n segments.append('dm/s')\n segments.append('d%d' % self.docvecs.vector_size) # dimensions\n if self.negative:\n segments.append('n%d' % self.negative) # negative samples\n if self.hs:\n segments.append('hs')\n if not self.sg or (self.sg and self.dbow_words):\n segments.append('w%d' % self.window) # window size, when relevant\n if self.vocabulary.min_count > 1:\n segments.append('mc%d' % self.vocabulary.min_count)\n if self.vocabulary.sample > 0:\n segments.append('s%g' % self.vocabulary.sample)\n if self.workers > 1:\n segments.append('t%d' % self.workers)\n return '%s(%s)' % (self.__class__.__name__, ','.join(segments))","def __str__(self):\n debug_str = \"%s ::=\" % str(self.head)\n for symbol in self.body:\n debug_str += \" %s\" % str(symbol)\n return debug_str","def __str__(self):\n outstr = [\"\\n<%s: %s>\" % (self.__class__, self.name)]\n outstr.append(\"%d graphs\" % len(self._graphs))\n outstr = \"\\n\".join(outstr)\n return outstr","def __str__(self):\n s = \"\"\n for i in range(13,25):\n if (self.p1vec[i] > 0):\n s += \"|W{0:02}|\".format(self.p1vec[i])\n elif (self.p2vec[25 - i] > 0):\n s += \"|B{0:02}|\".format(self.p2vec[25 - i])\n else:\n s += \"| |\"\n s += '\\n'\n for i in range(12, 0,-1):\n if (self.p1vec[i] > 0):\n s += \"|W{0:02}|\".format(self.p1vec[i])\n elif (self.p2vec[25 - i] > 0):\n s += \"|B{0:02}|\".format(self.p2vec[25 - i])\n else:\n s += \"| |\"\n return s","def __str__(self):\n s = \"\"\n for field in self.fields:\n if field.size not in VAR_PREFIXES:\n s += field.name + \": \" + str(field.size) + \" bits with value \" + str(field.value) + \".\\n\"\n else:\n s += field.name + \": variable size: \" + str(field.size) + \", with value \" + str(field.value) + \".\\n\"\n\n return s","def __str__(self):\n from nodepy.utils import array2strings\n\n c = array2strings(self.c,printzeros=True)\n A = array2strings(self.A)\n b = array2strings(self.b,printzeros=True)\n lenmax, colmax = _get_column_widths([A,b,c])\n\n s=self.name+'\\n'+self.info+'\\n'\n for i in range(len(self)):\n s+=c[i].ljust(colmax+1)+'|'\n for j in range(len(self)):\n s+=A[i,j].ljust(colmax+1)\n s=s.rstrip()+'\\n'\n s+='_'*(colmax+1)+'|'+('_'*(colmax+1)*len(self))+'\\n'\n s+= ' '*(colmax+1)+'|'\n for j in range(len(self)):\n s+=b[j].ljust(colmax+1)\n return s.rstrip()","def asString(self):\n\n res = []\n for v in list(self.vars.values()):\n res.append(v.asString())\n res.append('')\n for e in list(self.enums.values()):\n res.append(e.asString())\n res.append('')\n for s in list(self.structs.values()):\n res.append(s.defAsString())\n res.append('')\n for s in list(self.structs.values()):\n res.append(s.dataAsString())\n\n return '\\n'.join(res)","def __str__(self):\n string = ''\n for degree, coef in enumerate(self.coefs, 1):\n degree = degree - 1\n string += str(coef)+'x^' + str(degree) + ' + '\n string = string[0:-3] # remove the last ' + '\n return string","def __str__(self):\n s = \"\"\n for v in self.vectors:\n s += str(v) + \"\\n\"\n return s","def __str__(self):\n s=''\n for r in range(self.n):\n for c in range(self.n):\n s += str(self.state[r][c]) + ' '\n s += '\\n'\n s += str('hcost') + ' : ' + str(self.hcost)\n s += '\\n'\n return s","def __repr__(self):\n modulename = str(type(self).__module__)\n\n ichars = len(str(int(self.max())))\n slen = ichars + casas\n fstr = \"{{:>{}.{}g}}\".format(slen, casas)\n\n if modulename == \"__main__\":\n s = str(type(self).__name__)\n else:\n s = modulename + '.' + str(type(self).__name__)\n\n s += '(['\n s += ', '.join([fstr.format(x) for x in self.elem])\n s += '])'\n\n return s","def __str__(self):\n _str = \"Variables:\\n\"\n for variable in self.variables:\n _str += \" {}\\n\".format(str(variable))\n _str += \"\\nConstraints:\\n\"\n for constraint in self.constraints:\n _str += \" {}\\n\".format(str(constraint))\n return _str","def __str__(self):\n out = self.san\n if self.comment != \"\":\n out += \" {\" + self.comment.replace('\\n', ' ') + \"}\"\n if len(self.nags) > 0:\n for n in self.nags:\n out += \" \" + n\n for v in self.variations:\n out += \" (\" + str(v).strip(' ') + \")\"\n return out","def __str__(self):\n try:\n delim = ', ' if len(self) < 8 else ',\\n '\n s = delim.join('%s: %s' % (repr(k), repr(self[k])) for k in self.peys())\n return '{' + s + '}'\n except Exception:\n return dict.__repr__(self)","def debug_string(self):\n\n raise NotImplementedError","def __str__(self):\n class_name_str = str(self.__class__.__name__) + \": (\"\n attributes_str = str(self.head_vertex) + \", \" + \\\n str(self.tail_vertex) + \")\"\n str_rep = class_name_str + attributes_str\n return str_rep","def __str__(self):\n output = []\n output.append(str(self.x))\n output.append(str(self.p))\n return \" \".join(output)","def __repr__(self):\n msg = str(self.__class__.__name__)\n msg += \" (\\n\\tpath={}\\n\\tobs_keys={}\\n\\tseq_length={}\\n\\tfilter_key={}\\n\\tframe_stack={}\\n\"\n msg += \"\\tpad_seq_length={}\\n\\tpad_frame_stack={}\\n\\tgoal_mode={}\\n\"\n msg += \"\\tcache_mode={}\\n\"\n msg += \"\\tnum_demos={}\\n\\tnum_sequences={}\\n)\"\n filter_key_str = self.filter_by_attribute if self.filter_by_attribute is not None else \"none\"\n goal_mode_str = self.goal_mode if self.goal_mode is not None else \"none\"\n cache_mode_str = self.hdf5_cache_mode if self.hdf5_cache_mode is not None else \"none\"\n msg = msg.format(self.hdf5_path, self.obs_keys, self.seq_length, filter_key_str, self.n_frame_stack,\n self.pad_seq_length, self.pad_frame_stack, goal_mode_str, cache_mode_str,\n self.n_demos, self.total_num_sequences)\n return msg","def __str__(self): # pragma: no cover\n ret_str = \"<{0} ({1}): {2} {3}, {4} objects>\"\n\n proj = self.project if self.project else \"<no project>\"\n ver = \"v\" + self.version if self.version else \"<no version>\"\n\n return ret_str.format(\n type(self).__name__, self.source_type.value, proj, ver, self.count\n )","def __repr__(self) -> str:\n return_string = str()\n\n return_string += f\"Representation of dataset with {len(self.internal_types)} elements:\\n\"\n return_string += f\"List of categories:\\t{self.internal_types}\\n\"\n return_string += f\"First and last 5 features:\\n\"\n for i in range(5):\n return_string += f\"\\t{self.internal_data[i]}\\n\"\n return_string += f\"\\t...\\n\"\n for i in range(4, -1, -1):\n return_string += f\"\\t{self.internal_data[i]}\\n\"\n return_string += \"For more information, use debugger.\"\n\n return return_string","def to_str(self):\n return pprint.pformat(self.to_dict())","def __str__(self):\n return '\\n'+'\\n'.join([\"%-15s: %s\" % (qq(w), str(v)) for w, v in sorted(self.value.items())]) + '\\0'","def __str__(self):\n self.semaphore_lock.acquire()\n string_representation = \"\"\n for key, value in self.__dict.items():\n string_representation += \"{}: {}, \".format(key, value)\n string_representation = \"{\" + string_representation[:-1] + \"}\"\n self.semaphore_lock.release()\n\n return string_representation","def __repr__(self):\n s = ''\n for attr in self.__dict__:\n val = pformat(self.__dict__[attr])[:1500]\n if len(val)>70:\n s+=f'\\n{attr}:\\n{val}\\n\\n'\n else:\n s += f'{attr}: {val}\\n'\n return s","def __str__(self):\n\n string = \"values:\\n\\t\"\n string += \" x \".join(map(str, self.shape))\n\n string += \" {} ({})\\n\".format(type(self.values).__name__, self.values.dtype)\n\n if self.print_values is True:\n string += str(self.values) + \"\\n\"\n\n string += \"dims:\\n\\t\"\n\n string += \"{}\\n\".format(self.dims)\n\n string += \"coords:\\n\\t\"\n string += \"\\n\\t\".join(map(repr, self.coords))\n\n string += \"\\n\"\n\n string += \"attrs:\\n\"\n\n for ix, key in enumerate(self.attrs.keys()):\n if ix == self.max_print_attrs:\n string += \"\\t+%i attrs\" % (len(self.attrs) - self.max_print_attrs)\n break\n string += \"\\t{!r}: {!r}\\n\".format(key, self.attrs[key])\n\n return string","def __repr__ (self):\n\t\tStr = \"\"\n\t\tfor i in self.structref:\n\t\t\tStr = Str + \"%-15s = \"%(i[self.NAME])\n\t\t\tvalue = self.value [i[self.NAME]]\n\t\t\tif isInteger(value):\n\t\t\t\tStr = Str + \"%d, 0x%X\"%(value,value)\n\t\t\t\tif value >= 0x20 and value <= 0xFF:\n\t\t\t\t\tStr = Str + \" '\" + chr (value) + \"'\"\n\t\t\telse:\n\t\t\t\tif type(value) == type(bytes(0)):\n\t\t\t\t\tStr = Str + value.decode(\"utf8\",\"ignore\")\n\t\t\t\telse:\n\t\t\t\t\tStr = Str + str(value) \n\t\t\t\t\t\n\t\t\tStr = Str + \"\\n\"\n\t\treturn Str","def __str__(self):\n string = \"| \"\n for i in range(self.size):\n if self.keys[i] is None:\n pass\n else:\n string += str(i) + \"(\" + str(self.keys[i]) + \", \" + str(self.values[i]) + \") \"\n string += \"|\"\n return string","def __str__(self) -> str:\n return \"\".join([\"{\", \", \".join(map(str, self.__elements)), \"}\"])","def __str__(self):\n if len(self.label) > 0:\n descr = [\"'%s', target='%s' [%s]\" % (self.label, self.target.name, self.target.body_type)]\n else:\n descr = [\"target='%s' [%s]\" % (self.target.name, self.target.body_type)]\n if self.baseline:\n descr[0] += ', initial baseline offset=%f' % (self.baseline.poly[-1],)\n if self.beam:\n descr[0] += ', beam height=%f' % (self.beam.height,)\n for scan_ind, scan in enumerate(self.scans):\n descr.append('%4d: %s' % (scan_ind, str(scan)))\n return '\\n'.join(descr)","def __str__(self):\n if self.flaky:\n fmt = 'flaky | '\n else:\n fmt = ''\n fmt += '{2}: {0}'\n if self.variant:\n fmt += ' {1}'\n return fmt.format(*self)","def __str__(self):\n\n if not self:\n return '\\0'\n\n parts = []\n for name, value in self:\n if value is None:\n item = name\n else:\n item = '%s=%s' % (name, value)\n if (not self.strict) and (len(item) > 255):\n item = item[:255]\n parts.append(chr(len(item)))\n parts.append(item)\n\n return ''.join(parts)","def __str__(self):\n string = super().__str__()\n string += \"\\n\" + str(self.get_dict())\n return string","def __str__(self):\n ret = StringIO()\n print >> ret, 'tree', self.tree\n for parent in self.parents:\n print >> ret, 'parent', parent\n print >> ret, 'author', self.author\n print >> ret, 'committer', self.committer\n for key, value in self.other_header_lines:\n print >> ret, key, value\n print >> ret\n print >> ret, '\\n'.join(self.message_lines)\n if self.footer_lines:\n print >> ret\n for key, value in self.footer_lines:\n print >> ret, '%s: %s' % (key, value)\n v = ret.getvalue()\n if self.no_trailing_nl:\n v = v[:-1]\n return v","def __str__(self):\n \n result = '<' + self._name + ', ' + str(self._id) + ', ' + self._age + ', ' \n for elem in self._direct:\n result += elem.getID() + ', '\n result += self._fitness + ', ' + self._immune + '>'\n\n return result","def dumps(self) -> str:\n ...","def __str__(self) -> str:\n st = \"<Output> \"\n if self.inst_out:\n st += f'instance:{self.inst_out};'\n st += f'''{self.output} -> {self.target or '\"\"'} -> '''\n if self.inst_in:\n st += f\"instance:{self.inst_in};\"\n st += self.input\n\n if self.params and not self.inst_in:\n st += f\" ({self.params})\"\n if self.delay != 0:\n st += f\" after {self.delay} seconds\"\n if self.times != -1:\n st += \" (once only)\" if self.times == 1 else f\" ({self.times!s} times only)\"\n return st","def pretty_str(self) -> str:\n ...","def __str__(self) -> str:\n\n assert self.data is not None\n border = \"****************************************\"\n name_border = \"=\" * len(self.name)\n lines = [border, name_border, self.name, name_border]\n for spec in self.specs.values():\n lines.append(str(spec))\n lines.append(border)\n return os.linesep.join(lines)","def __str__(self) :\n if not self.parsed :\n return \"\"\n mybuffer = []\n mybuffer.append(\"IPP version : %s.%s\" % self.version)\n mybuffer.append(\"IPP operation Id : 0x%04x\" % self.operation_id)\n mybuffer.append(\"IPP request Id : 0x%08x\" % self.request_id)\n for attrtype in self.attributes_types :\n for attribute in getattr(self, \"_%s_attributes\" % attrtype) :\n if attribute :\n mybuffer.append(\"%s attributes :\" % attrtype.title())\n for (name, value) in attribute :\n mybuffer.append(\" %s : %s\" % (name, value))\n # if self.data :\n # mybuffer.append(\"IPP datas : %s\" % repr(self.data))\n return \"\\n\".join(mybuffer)","def __str__(self):\n built_string = \"Graph(\"\n built_string += str(self.get_nodes())\n built_string += \", \"\n built_string += str(self.get_edges())\n built_string += \")\"\n return built_string","def __str__(self):\n built_string = \"Graph(\"\n built_string += str(self.get_nodes())\n built_string += \", \"\n built_string += str(self.get_edges())\n built_string += \")\"\n return built_string","def __str__(self):\n s = ''\n for node in self.nodes:\n s += '\\n\\n'+str(node)+'\\n\\t'\n edges = node.getChildren()\n keys = edges.keys()\n keys.sort()\n for key in keys:\n bounds = edges[key].getSuffix()\n s += str(edges[key])+' '\n for i in xrange(bounds[0], bounds[1]):\n s += self.target[i]\n s += '\\n\\t'\n return s","def to_string(self):\r\n production_dict = self.get_production_dict()\r\n\r\n string_prods = ['S -> ' + ' | '.join([''.join(symbols) for symbols in production_dict.pop('S')])]\r\n for non_terminal, symbols_list in production_dict.items():\r\n string_prods.append(non_terminal + ' -> ' + ' | '.join([''.join(symbols) for symbols in symbols_list]))\r\n\r\n # concateate em\r\n return '\\n'.join(string_prods)","def __str__(self) -> str:\n st = \"<Entity>: \\n{\\n\"\n for k, v in self._keys.items():\n if not isinstance(v, list):\n st += f\"\\t {k} = \\\"{v}\\\"\\n\"\n if self._fixup is not None:\n for k, v in self.fixup.items():\n st += f\"\\t ${k} = \\\"{v}\\\"\\n\"\n\n for out in self.outputs:\n st += f'\\t{out!s}\\n'\n st += \"}\\n\"\n return st","def __str__(self):\n return self.printable()","def __str__(self):\n\n # Print the class and address.\n msg = \"{0} at {1}\\n\".format(str(self.__class__), str(hex(id(self))))\n\n # Print some other basic information.\n msg = \"{0} line name: ({1})\\n\".format(msg, self.name)\n msg = \"{0} ping_time: ({1})\\n\".format(\n msg,\n self.ping_time.shape[0])\n msg = \"{0} data: ({1})\\n\".format(\n msg,\n self.data.shape[0])\n msg = \"{0} start time: {1}\\n\".format(msg,\n self.ping_time[0])\n msg = \"{0} end time: {1}\\n\" .format(msg,\n self.ping_time[-1])\n\n return msg","def __str__(self):\n\n # This appears at the end of the fed method line\n strme = \"{} {} {} {}\"\\\n .format(self.n_itr, self.i_beg, self.i_end, self.omega)\n\n return strme","def __str__(self):\n slist = self.buildstrings()\n local_s = ''\n for slistsub in range(0, len(slist)):\n local_s += slist[slistsub]\n if slistsub != len(slist)-1:\n local_s += '\\n'\n return local_s","def __repr__(self) -> str:\n return '{:s}({!r})'.format(self.__class__.__name__, self.getvalue())","def __repr__(self) -> str:\n return '{:s}({!r})'.format(self.__class__.__name__, self.getvalue())","def __repr__(self) -> str:\n return '{:s}({!r})'.format(self.__class__.__name__, self.getvalue())","def __str__(self):\n\t\n\t\tresult = \"\"\n\t\tresult += \"Torsional Spring Specs: \\n\"\n\t\tresult += \"Shape Eq. Slope: {0}\\n\".format(str(self.shape_slope))\n\t\tresult += \"Z Thickness: {0}\\n\".format(str(self.z_thick))\n\t\tresult += \"In-Plane Thickness: {0}\\n\".format(str(self.thick))\n\t\tresult += \"Spiral Length: {0}\\n\".format(str(self.length))\n\n\t\treturn result","def __repr__(self) -> str:\n bits_str = \"\"\n\n raw_key = self.raw_key()\n for byte_idx, chunk in enumerate(raw_key):\n # Range from 7 to 0 inclusively:\n for bit in range(7, -1, -1):\n i = byte_idx * 8 + bit\n if i < self.start() or i >= self.end():\n bits_str += \"_\"\n else:\n bits_str += \"0\" if (1 << bit) & chunk == 0 else \"1\"\n\n bits_str += \"|\"\n\n format_str = \"ProofPath [ start: {}, end: {}, bits: {} ]\".format(self.start(), self.end(), bits_str)\n return format_str","def __str__(self):\n [r,c],f = self.D, self.F\n lmax = len(str(max(iter(self)))) + 1\n s = '\\n'.join( (' '.join('{0:{l}G}'.format(f(i,j),l=lmax) if isinstance(f(i,j), int) or isinstance(f(i,j), float) else str(f(i,j)) for j in range(c))) for i in range(r))\n return s","def __str__(self):\n\n rep = 'Generalized Syllogism:\\n'\n rep += '\\ttask: {}\\n'.format(self.task)\n rep += '\\tencoded_task: {}\\n'.format(self.encoded_task)\n rep += '\\tp1: {}\\n'.format(self.p1)\n rep += '\\tp2: {}\\n'.format(self.p2)\n rep += '\\tquantifier_p1: {}\\n'.format(self.quantifier_p1)\n rep += '\\tquantifier_p2: {}\\n'.format(self.quantifier_p2)\n rep += '\\tfigure: {}\\n'.format(self.figure)\n rep += '\\tTerms:\\n'\n rep += '\\t\\tA: {}\\n'.format(self.A)\n rep += '\\t\\tB: {}\\n'.format(self.B)\n rep += '\\t\\tC: {}\\n'.format(self.C)\n return rep","def toString(self, indent=\"\"):\n return indent + self.__class__.__name__ + \": { }\"","def __str__(self):\r\n return repr(self)","def __str__(self):\n return_string = self.name + \"\\n\" + str(self.traits)\n\n return return_string","def __repr__(self):\n result = '\"{0}\"'.format(self._filepath.unexpanded)\n if self.nonlocal is None: result += \", None\"\n else: result += ', \"%s\"' % (self._nonlocal.unexpanded)\n result += \", %f, %f, %f, %f, %f\" % (self.s, self.p, self.d, self.pnl, self.dnl)\n return result","def generate(self):\n output = \"\"\n if self.source is not None:\n output += f\"{self.source}>\"\n else:\n raise GenerateError(\"Missing source address\")\n\n if self.destination is not None:\n output += f\"{self.destination},\"\n else:\n raise GenerateError(\"Missing destination address\")\n\n if self.path is not None:\n output += f\"{self.path}:\"\n else:\n raise GenerateError(\"Missing path\")\n\n info = self.info\n\n if self.data_type_id is not None:\n output += f\"{self.data_type_id}\"\n else:\n raise GenerateError(\"Missing data type ID\")\n\n if info is not None:\n output += f\"{info}\"\n else:\n raise GenerateError(\"Missing info\")\n\n return output","def __str__(self):\n s = f\"{self.__class__.__name__}: \"\n s += f\"x = {base.array2str(self._x)}\"\n return s","def __str__(self):\n buf = io.StringIO()\n args.output.write(buf, self.root, self.headings)\n return buf.getvalue()","def __str__(self):\n return (\"UUID: \" + str(self.uuid) + \"\\n\"\n \"Data: \" + str(self.data) + \"\\n\" +\n \"Tex: \" + str(self.texOutput) + \"\\n\")","def __str__(self):\n state = ''\n state += ' '.join([str(x) for x in self.pos]) + ' '\n state += ''.join([str(x) + ' ' + str(y) + ' ' for x,\n y in zip(self.BU, self.BD)])\n for e in self.BF:\n state += ' '.join([str(x) for x in e])\n state += ' '\n state += ' '.join([str(x) for x in self.LU]) + ' '\n state += ' '.join([str(x) for x in self.LD]) + ' '\n\n return state","def __str__(self):\n\n strme = \"fed method {} {} {} {}\"\\\n .format(ExpandedEnsemble.key, self.eta0, self.c_upd, self.n_upd)\n if self.smooth:\n strme = \"{!s} {!s}\".format(strme, self.smooth)\n\n return strme","def __str__(self):\n to_print = '{} : {}\\n'.format('Name'.ljust(34),self.name)\n to_print = to_print + '{} : {}\\n'.format('Name'.ljust(34),self.pathloss.name)\n to_print = to_print + '{} : {}\\n'.format('Number of samples'.ljust(34),self.nsamples)\n to_print = to_print + '{} : {}\\n'.format('Sensor model'.ljust(34),self.sensor_model.name)\n to_print = to_print + '{} : {}\\n'.format('Motion model'.ljust(34),self.motion_model.name)\n return to_print","def __str__(self):\n result = ('---> Population - Generation: ' + str(self.generation)\n + '<--- \\n')\n result += 'Fittest Chromosome: \\n' + str(self.fittest_chromosome)\n\n for chromosome in self.chromosomes:\n result += str(chromosome) + '\\n'\n\n return result","def __str__(self):\r\n def edgesFromVertex(u):\r\n \"\"\"\r\n Represents edges incident to the given vertex.\r\n \"\"\"\r\n edgeRepresentation = lambda v: f\"({u}, {v}, {self.capacity[(u, v)]})\"\r\n return \", \".join(map(edgeRepresentation, self.residualNeighbors(u)))\r\n\r\n def adjacencyLists():\r\n \"\"\"\r\n Represents edges incident to relevant vertices\r\n \"\"\"\r\n anyNeighbor = lambda u: any(self.neighbors(u))\r\n verticesWithNeighbors = filter(anyNeighbor, sorted(self.vertices()))\r\n return map(edgesFromVertex, verticesWithNeighbors)\r\n\r\n return \"\\n\".join(adjacencyLists())","def _to_string(self):\r\n parts = []\r\n if self.offering:\r\n parts.extend([self.org, self.offering])\r\n if self.branch:\r\n parts.append(u\"{prefix}+{branch}\".format(prefix=self.BRANCH_PREFIX, branch=self.branch))\r\n if self.version_guid:\r\n parts.append(u\"{prefix}+{guid}\".format(prefix=self.VERSION_PREFIX, guid=self.version_guid))\r\n return u\"+\".join(parts)","def to_string(self):\n string = (\n f\"r{self.num_repeat}_k{self.kernel_size}_s{self.stride}{self.stride}\"\n f\"_e{self.expand_ratio}_i{self.input_filters}_o{self.output_filters}\"\n f\"_se{self.se_ratio}\"\n )\n\n if not self.id_skip:\n string += \"_noskip\"\n return string","def __str__(self):\n items = ['({!r})'.format(item) for item in self.items()]\n return '[{}]'.format(' -> '.join(items))","def generate(self):\n return \"\"","def __str__(self):\n return repr(self)","def __str__(self) -> str:\n str_ = self.method\n if self.basis is not None:\n str_ += f'/{self.basis}'\n if self.auxiliary_basis is not None:\n str_ += f', auxiliary_basis: {self.auxiliary_basis}'\n if self.dispersion is not None:\n str_ += f', dispersion: {self.dispersion}'\n if self.cabs is not None:\n str_ += f', cabs: {self.cabs}'\n if self.solvation_method is not None:\n str_ += f', solvation_method: {self.solvation_method}'\n if self.solvent is not None:\n str_ += f', solvent: {self.solvent}'\n if self.solvation_scheme_level is not None:\n str_ += f\", solvation_scheme_level: '{str(self.solvation_scheme_level)}'\"\n if self.software is not None:\n str_ += f', software: {self.software}'\n if self.software_version is not None:\n str_ += f', software_version: {self.software_version}'\n if self.args is not None and self.args and all([val for val in self.args.values()]):\n if any([key == 'keyword' for key in self.args.keys()]):\n str_ += ', keyword args:'\n for key, arg in self.args.items():\n if key == 'keyword':\n str_ += f' {arg}'\n if self.method_type is not None:\n str_ += f' ({self.method_type})'\n return str_","def __str__(self):\n string = 'input dim: {} \\noutput dim: {} \\n'.format(\n self.dim_inputs, self.dim_outputs\n )\n string += 'sequence length: {} \\n'.format(\n self.tensors[0].shape[1]\n )\n key = 'train' if self.train else 'test'\n string += '{}_samples: {} \\n{}_sequences: {} \\n'.format(\n key, self.experiment_length, key, self.tensors[0].shape[0]\n )\n return string","def __str__(self):\n out = \"\"\n for i, m in enumerate(self):\n out += \" \" + str(m) if i > 0 else str(m)\n out += \" \"\n return out","def __str__(self):\n if len(self.__keys) == 0:\n return '{}'\n output = '{'\n fmt = '{}: {}, '\n for key, val in zip(self.__keys, self.__vals):\n output += fmt.format(repr(key), repr(val))\n return output[:-2] + '}'","def __str__(self):\n\t\tif self.code == Const.NEWLINE:\n\t\t\treturn \"[newline]\"\n\t\t\n\t\tname = \"[\" + self.code\n\t\tif self.code in (Const.numericalLiteral, Const.ID, Const.UET):\n\t\t\tname += \"(\" + self.value + \")\"\n\t\tname += \"]\"\n\t\treturn name","def to_str(self) -> str:\n return pprint.pformat(self.dict())","def __str__(self):\n out = str(self.tag_pairs)\n if self.comment:\n out += \"{\" + self.comment + \"} \"\n out += self.format_body()\n return out","def __str__(self):\n output = 'Pathogens:\\n'\n for x in self.extant_p:\n output += ' n %s h %f d %f host %s extant\\n' % (x.name, x.height, x.dist, x.host.name)\n for x in self.not_extant_p:\n output += ' n %s h %f d %f host %s not extant\\n' % (x.name, x.height, x.dist, x.host.name)\n for x in self.not_yet_sampled_p:\n output += ' n %s h %f d %f host %s not yet sampled\\n' % (x.name, x.height, x.dist, x.host.name)\n\n output += 'Hosts:\\n'\n for x in self.extant_h:\n output += ' %s %f %f extant\\n' % (x.name, x.height, x.dist)\n for x in self.not_extant_h:\n output += ' %s %f %f not extant\\n' % (x.name, x.height, x.dist)\n for x in self.not_yet_sampled_h:\n output += ' %s %f %f not yet sampled\\n' % (x.name, x.height, x.dist)\n\n return output","def __str__(self):\n # special cases\n if self.is_nan() :\n return \"nan\"\n elif self.coeff == 1 :\n if self.expt == 1 :\n return \"x\"\n else :\n return \"x^\" + str(self.expt)\n elif self.coeff == -1 :\n if self.expt == 1 :\n return \"-x\"\n else :\n return \"-x^\" + str(self.expt)\n \n # str_builder\n if self.expt == 0 :\n if self.coeff.denominator == 1 :\n return str(self.coeff.nominator)\n else :\n return \"{}/{}\".format(str(self.coeff.nominator), str(self.coeff.denominator))\n elif self.expt == 1 :\n if self.coeff.denominator == 1 :\n return str(self.coeff.nominator) + \"*x\"\n else :\n return \"{}/{}\".format(str(self.coeff.nominator), str(self.coeff.denominator)) + \"*x\"\n else :\n if self.coeff.denominator == 1 :\n return str(self.coeff.nominator) + \"*x^\" + str(self.expt)\n else :\n return \"{}/{}\".format(str(self.coeff.nominator), str(self.coeff.denominator)) + \"*x^\" + str(self.expt)","def __str__(self):\n s = ''\n for vertex in self.vertices:\n s += vertex.__str__()\n s += \"\\n\"\n return s","def StringRep(self, val):\n try:\n return val.DebugString()\n except Exception:\n try:\n return str(val.__dict__)\n except Exception:\n return repr(val)","def __repr__(self):\n\n repme = \"x0= {!r}, kf= {!r}, n_upd= {!r}\"\\\n .format(self.x0, self.kf, self.n_upd)\n\n return \"UmbrellaSampling({!s})\".format(repme)"],"string":"[\n \"def toString():\",\n \"def __str__(self):\\n astr = '[\\\\n name: [ ' + self.name + ' ]\\\\n'\\n astr += ' variables: [ '\\n for var, init in self.variables:\\n astr += '(' + var + ' := ' + init + '), '\\n astr = astr[:-2] + ' ]\\\\n assumptions: [ '\\n for assumption in self.assumptions:\\n astr += assumption + ', '\\n astr = astr[:-2] + ' ]\\\\n guarantees: [ '\\n for guarantee in self.guarantees:\\n astr += guarantee + ', '\\n return astr[:-2] + ' ]\\\\n]'\",\n \"def __str__(self):\\n s = \\\"--\\\\n\\\"\\n for element in self:\\n s += element.__str__() + \\\"\\\\n\\\"\\n s += \\\"--\\\"\\n \\\"\\\"\\\"\\n # Uncomment if you want to see the internal structure\\n s = \\\"\\\\n--\\\\n\\\"\\n for i in xrange(self.size):\\n s += \\\"%d [%s, %s]\\\\n\\\" % ( i, self.slot[i], self.data[i] )\\n s += \\\"--\\\"\\n \\\"\\\"\\\"\\n return s\",\n \"def str(self):\\n out = \\\"{0}:\\\".format(self.gtype) if self.gtype else \\\"\\\"\\n out += \\\"{0}\\\".format(repr(self.coords))\\n out += \\\"[{0}]\\\".format(str(self.goalPtr)) if self.goalPtr else \\\"\\\"\\n return out\",\n \"def to_str(self) -> str:\",\n \"def __str__(self):\\n s = []\\n s.append('device %d' % self.ndevs_before)\\n s.append('idcode 0x%08x' % self.idcode)\\n s.append('irchain %s' % self.irchain_str())\\n return ' '.join(s)\",\n \"def __str__(self):\\n result = ''\\n result += '+---+\\\\n'\\n for i in range(3):\\n result += '|' + self[i*3] + self[i*3+1] + self[i*3+2] + '|\\\\n'\\n result += '+---+'\\n return result\",\n \"def __str__(self):\\n if self.f_has_range():\\n lenstr = \\\"len:%d\\\" % self.f_get_range_length()\\n else:\\n lenstr = \\\"\\\"\\n\\n if self.v_comment:\\n commentstr = \\\"`%s`\\\" % self.v_comment\\n else:\\n commentstr = \\\"\\\"\\n\\n if commentstr or lenstr:\\n if commentstr and lenstr:\\n combined_str = \\\"%s, %s\\\" % (lenstr, commentstr)\\n elif commentstr:\\n combined_str = commentstr\\n elif lenstr:\\n combined_str = lenstr\\n else:\\n raise RuntimeError(\\\"You shall not pass!\\\")\\n\\n infostr = \\\" (%s)\\\" % combined_str\\n\\n else:\\n infostr = \\\"\\\"\\n\\n return_string = \\\"%s %s%s\\\" % (self.f_get_class_name(), self.v_full_name, infostr)\\n\\n if not self.f_is_empty():\\n return_string += \\\": \\\" + self.f_val_to_str()\\n\\n return return_string\",\n \"def toString(self) -> str:\\n raise NotImplementedError\",\n \"def __str__(self):\\n astr = ' variables:\\\\t[ '\\n for var in self.variables:\\n astr += str(var) + ', '\\n astr = astr[:-2] + ' ]\\\\n assumptions :\\\\t[ '\\n for assumption in self.assumptions.cnf:\\n astr += assumption.formula + ', '\\n astr = astr[:-2] + ' ]\\\\n guarantees :\\\\t[ '\\n for guarantee in self.guarantees.cnf:\\n astr += guarantee.formula + ', '\\n # astr = astr[:-2] + ' ]\\\\n guarantees_unsat :\\\\t[ '\\n # for guarantee in self.guarantees.cnf:\\n # astr += guarantee.unsaturated + ', '\\n return astr[:-2] + ' ]\\\\n'\",\n \"def __str__(self):\\n class_name_str = str(self.__class__.__name__) + \\\": (\\\"\\n head_str = str(self.head_vertex) + \\\", \\\"\\n tail_str = str(self.tail_vertex) + \\\", \\\"\\n weight_str = str(self.weight) + \\\")\\\"\\n attributes_str = head_str + tail_str + weight_str\\n str_rep = class_name_str + attributes_str\\n return str_rep\",\n \"def __str__(self):\\n class_name_str = str(self.__class__.__name__) + \\\": (\\\"\\n head_str = str(self.head_vertex) + \\\", \\\"\\n tail_str = str(self.tail_vertex) + \\\", \\\"\\n weight_str = str(self.weight) + \\\")\\\"\\n attributes_str = head_str + tail_str + weight_str\\n str_rep = class_name_str + attributes_str\\n return str_rep\",\n \"def __str__(self):\\n\\n result = \\\"n: \\\" + str(self.n) + \\\"\\\\n\\\"\\n result += \\\"m: \\\" + str(self.m) + \\\"\\\\n\\\"\\n result += \\\"ns: \\\" + str(self.ns) + \\\"\\\\n\\\"\\n result += \\\"s0: \\\" + str(self.s0) + \\\"\\\\n\\\"\\n result += \\\"goals: \\\" + str([self.goals[i] for i in range(self.ng)]) + \\\"\\\\n\\\"\\n result += \\\"horizon: \\\" + str(self.horizon) + \\\"\\\\n\\\"\\n result += \\\"gamma: \\\" + str(self.gamma) + \\\"\\\\n\\\\n\\\"\\n\\n result += \\\"S(s, a, s'):\\\\n%s\\\" % (str(np.array([self.S[i] \\\\\\n for i in range(self.n * self.m * self.ns)]).reshape((self.n, self.m, self.ns)))) + \\\"\\\\n\\\\n\\\"\\n\\n result += \\\"T(s, a, s'):\\\\n%s\\\" % (str(np.array([self.T[i] \\\\\\n for i in range(self.n * self.m * self.ns)]).reshape((self.n, self.m, self.ns)))) + \\\"\\\\n\\\\n\\\"\\n\\n result += \\\"R(s, a):\\\\n%s\\\" % (str(np.array([self.R[i] \\\\\\n for i in range(self.n * self.m)]).reshape((self.n, self.m)))) + \\\"\\\\n\\\\n\\\"\\n\\n return result\",\n \"def __str__(self):\\n datastr = self.f_val_to_str()\\n return_string = \\\"%s %s\\\" % (self.f_get_class_name(), self.v_full_name)\\n if self.v_comment:\\n return_string += \\\" (`%s`)\\\" % self.v_comment\\n if datastr:\\n return_string += \\\": \\\" + datastr\\n\\n return return_string\",\n \"def __str__(self):\\n table_data = [\\n ['', 'C', 'G', 'A', 'T'],\\n ['total', str(self.total['C']), str(self.total['G']), str(self.total['A']), str(self.total['T'])],\\n ['reverse half strand', str(self.reverse['C']), str(self.reverse['G']), str(self.reverse['A']),\\n str(self.reverse['T'])],\\n ['forward half strand', str(self.forward['C']), str(self.forward['G']), str(self.forward['A']),\\n str(self.forward['T'])]\\n ]\\n table = AsciiTable(table_data)\\n return \\\"Generation #{}\\\\n\\\".format(self.epoch) + table.table\",\n \"def __str__(self):\\n sio = StringIO()\\n # name:\\n sio.write(self.name + \\\":\\\\n\\\")\\n # Tags\\n # - name: value\\n for t, v in self.tags:\\n sio.write('- ' + t + ': ' + v + '\\\\n')\\n # Sets\\n # a,b,d-f) w x r, w x r, [rest] work x rep\\n sio.write(','.join(str(s.order) for s in self.sets) + ') ')\\n sets = [str(s) for s in self.sets]\\n sio.write(', '.join(sets) + '\\\\n')\\n return sio.getvalue()\",\n \"def __str__(self):\\n segments = []\\n if self.comment:\\n segments.append('\\\"%s\\\"' % self.comment)\\n if self.sg:\\n if self.dbow_words:\\n segments.append('dbow+w') # also training words\\n else:\\n segments.append('dbow') # PV-DBOW (skip-gram-style)\\n\\n else: # PV-DM...\\n if self.dm_concat:\\n segments.append('dm/c') # ...with concatenative context layer\\n else:\\n if self.cbow_mean:\\n segments.append('dm/m')\\n else:\\n segments.append('dm/s')\\n segments.append('d%d' % self.docvecs.vector_size) # dimensions\\n if self.negative:\\n segments.append('n%d' % self.negative) # negative samples\\n if self.hs:\\n segments.append('hs')\\n if not self.sg or (self.sg and self.dbow_words):\\n segments.append('w%d' % self.window) # window size, when relevant\\n if self.vocabulary.min_count > 1:\\n segments.append('mc%d' % self.vocabulary.min_count)\\n if self.vocabulary.sample > 0:\\n segments.append('s%g' % self.vocabulary.sample)\\n if self.workers > 1:\\n segments.append('t%d' % self.workers)\\n return '%s(%s)' % (self.__class__.__name__, ','.join(segments))\",\n \"def __str__(self):\\n debug_str = \\\"%s ::=\\\" % str(self.head)\\n for symbol in self.body:\\n debug_str += \\\" %s\\\" % str(symbol)\\n return debug_str\",\n \"def __str__(self):\\n outstr = [\\\"\\\\n<%s: %s>\\\" % (self.__class__, self.name)]\\n outstr.append(\\\"%d graphs\\\" % len(self._graphs))\\n outstr = \\\"\\\\n\\\".join(outstr)\\n return outstr\",\n \"def __str__(self):\\n s = \\\"\\\"\\n for i in range(13,25):\\n if (self.p1vec[i] > 0):\\n s += \\\"|W{0:02}|\\\".format(self.p1vec[i])\\n elif (self.p2vec[25 - i] > 0):\\n s += \\\"|B{0:02}|\\\".format(self.p2vec[25 - i])\\n else:\\n s += \\\"| |\\\"\\n s += '\\\\n'\\n for i in range(12, 0,-1):\\n if (self.p1vec[i] > 0):\\n s += \\\"|W{0:02}|\\\".format(self.p1vec[i])\\n elif (self.p2vec[25 - i] > 0):\\n s += \\\"|B{0:02}|\\\".format(self.p2vec[25 - i])\\n else:\\n s += \\\"| |\\\"\\n return s\",\n \"def __str__(self):\\n s = \\\"\\\"\\n for field in self.fields:\\n if field.size not in VAR_PREFIXES:\\n s += field.name + \\\": \\\" + str(field.size) + \\\" bits with value \\\" + str(field.value) + \\\".\\\\n\\\"\\n else:\\n s += field.name + \\\": variable size: \\\" + str(field.size) + \\\", with value \\\" + str(field.value) + \\\".\\\\n\\\"\\n\\n return s\",\n \"def __str__(self):\\n from nodepy.utils import array2strings\\n\\n c = array2strings(self.c,printzeros=True)\\n A = array2strings(self.A)\\n b = array2strings(self.b,printzeros=True)\\n lenmax, colmax = _get_column_widths([A,b,c])\\n\\n s=self.name+'\\\\n'+self.info+'\\\\n'\\n for i in range(len(self)):\\n s+=c[i].ljust(colmax+1)+'|'\\n for j in range(len(self)):\\n s+=A[i,j].ljust(colmax+1)\\n s=s.rstrip()+'\\\\n'\\n s+='_'*(colmax+1)+'|'+('_'*(colmax+1)*len(self))+'\\\\n'\\n s+= ' '*(colmax+1)+'|'\\n for j in range(len(self)):\\n s+=b[j].ljust(colmax+1)\\n return s.rstrip()\",\n \"def asString(self):\\n\\n res = []\\n for v in list(self.vars.values()):\\n res.append(v.asString())\\n res.append('')\\n for e in list(self.enums.values()):\\n res.append(e.asString())\\n res.append('')\\n for s in list(self.structs.values()):\\n res.append(s.defAsString())\\n res.append('')\\n for s in list(self.structs.values()):\\n res.append(s.dataAsString())\\n\\n return '\\\\n'.join(res)\",\n \"def __str__(self):\\n string = ''\\n for degree, coef in enumerate(self.coefs, 1):\\n degree = degree - 1\\n string += str(coef)+'x^' + str(degree) + ' + '\\n string = string[0:-3] # remove the last ' + '\\n return string\",\n \"def __str__(self):\\n s = \\\"\\\"\\n for v in self.vectors:\\n s += str(v) + \\\"\\\\n\\\"\\n return s\",\n \"def __str__(self):\\n s=''\\n for r in range(self.n):\\n for c in range(self.n):\\n s += str(self.state[r][c]) + ' '\\n s += '\\\\n'\\n s += str('hcost') + ' : ' + str(self.hcost)\\n s += '\\\\n'\\n return s\",\n \"def __repr__(self):\\n modulename = str(type(self).__module__)\\n\\n ichars = len(str(int(self.max())))\\n slen = ichars + casas\\n fstr = \\\"{{:>{}.{}g}}\\\".format(slen, casas)\\n\\n if modulename == \\\"__main__\\\":\\n s = str(type(self).__name__)\\n else:\\n s = modulename + '.' + str(type(self).__name__)\\n\\n s += '(['\\n s += ', '.join([fstr.format(x) for x in self.elem])\\n s += '])'\\n\\n return s\",\n \"def __str__(self):\\n _str = \\\"Variables:\\\\n\\\"\\n for variable in self.variables:\\n _str += \\\" {}\\\\n\\\".format(str(variable))\\n _str += \\\"\\\\nConstraints:\\\\n\\\"\\n for constraint in self.constraints:\\n _str += \\\" {}\\\\n\\\".format(str(constraint))\\n return _str\",\n \"def __str__(self):\\n out = self.san\\n if self.comment != \\\"\\\":\\n out += \\\" {\\\" + self.comment.replace('\\\\n', ' ') + \\\"}\\\"\\n if len(self.nags) > 0:\\n for n in self.nags:\\n out += \\\" \\\" + n\\n for v in self.variations:\\n out += \\\" (\\\" + str(v).strip(' ') + \\\")\\\"\\n return out\",\n \"def __str__(self):\\n try:\\n delim = ', ' if len(self) < 8 else ',\\\\n '\\n s = delim.join('%s: %s' % (repr(k), repr(self[k])) for k in self.peys())\\n return '{' + s + '}'\\n except Exception:\\n return dict.__repr__(self)\",\n \"def debug_string(self):\\n\\n raise NotImplementedError\",\n \"def __str__(self):\\n class_name_str = str(self.__class__.__name__) + \\\": (\\\"\\n attributes_str = str(self.head_vertex) + \\\", \\\" + \\\\\\n str(self.tail_vertex) + \\\")\\\"\\n str_rep = class_name_str + attributes_str\\n return str_rep\",\n \"def __str__(self):\\n output = []\\n output.append(str(self.x))\\n output.append(str(self.p))\\n return \\\" \\\".join(output)\",\n \"def __repr__(self):\\n msg = str(self.__class__.__name__)\\n msg += \\\" (\\\\n\\\\tpath={}\\\\n\\\\tobs_keys={}\\\\n\\\\tseq_length={}\\\\n\\\\tfilter_key={}\\\\n\\\\tframe_stack={}\\\\n\\\"\\n msg += \\\"\\\\tpad_seq_length={}\\\\n\\\\tpad_frame_stack={}\\\\n\\\\tgoal_mode={}\\\\n\\\"\\n msg += \\\"\\\\tcache_mode={}\\\\n\\\"\\n msg += \\\"\\\\tnum_demos={}\\\\n\\\\tnum_sequences={}\\\\n)\\\"\\n filter_key_str = self.filter_by_attribute if self.filter_by_attribute is not None else \\\"none\\\"\\n goal_mode_str = self.goal_mode if self.goal_mode is not None else \\\"none\\\"\\n cache_mode_str = self.hdf5_cache_mode if self.hdf5_cache_mode is not None else \\\"none\\\"\\n msg = msg.format(self.hdf5_path, self.obs_keys, self.seq_length, filter_key_str, self.n_frame_stack,\\n self.pad_seq_length, self.pad_frame_stack, goal_mode_str, cache_mode_str,\\n self.n_demos, self.total_num_sequences)\\n return msg\",\n \"def __str__(self): # pragma: no cover\\n ret_str = \\\"<{0} ({1}): {2} {3}, {4} objects>\\\"\\n\\n proj = self.project if self.project else \\\"<no project>\\\"\\n ver = \\\"v\\\" + self.version if self.version else \\\"<no version>\\\"\\n\\n return ret_str.format(\\n type(self).__name__, self.source_type.value, proj, ver, self.count\\n )\",\n \"def __repr__(self) -> str:\\n return_string = str()\\n\\n return_string += f\\\"Representation of dataset with {len(self.internal_types)} elements:\\\\n\\\"\\n return_string += f\\\"List of categories:\\\\t{self.internal_types}\\\\n\\\"\\n return_string += f\\\"First and last 5 features:\\\\n\\\"\\n for i in range(5):\\n return_string += f\\\"\\\\t{self.internal_data[i]}\\\\n\\\"\\n return_string += f\\\"\\\\t...\\\\n\\\"\\n for i in range(4, -1, -1):\\n return_string += f\\\"\\\\t{self.internal_data[i]}\\\\n\\\"\\n return_string += \\\"For more information, use debugger.\\\"\\n\\n return return_string\",\n \"def to_str(self):\\n return pprint.pformat(self.to_dict())\",\n \"def __str__(self):\\n return '\\\\n'+'\\\\n'.join([\\\"%-15s: %s\\\" % (qq(w), str(v)) for w, v in sorted(self.value.items())]) + '\\\\0'\",\n \"def __str__(self):\\n self.semaphore_lock.acquire()\\n string_representation = \\\"\\\"\\n for key, value in self.__dict.items():\\n string_representation += \\\"{}: {}, \\\".format(key, value)\\n string_representation = \\\"{\\\" + string_representation[:-1] + \\\"}\\\"\\n self.semaphore_lock.release()\\n\\n return string_representation\",\n \"def __repr__(self):\\n s = ''\\n for attr in self.__dict__:\\n val = pformat(self.__dict__[attr])[:1500]\\n if len(val)>70:\\n s+=f'\\\\n{attr}:\\\\n{val}\\\\n\\\\n'\\n else:\\n s += f'{attr}: {val}\\\\n'\\n return s\",\n \"def __str__(self):\\n\\n string = \\\"values:\\\\n\\\\t\\\"\\n string += \\\" x \\\".join(map(str, self.shape))\\n\\n string += \\\" {} ({})\\\\n\\\".format(type(self.values).__name__, self.values.dtype)\\n\\n if self.print_values is True:\\n string += str(self.values) + \\\"\\\\n\\\"\\n\\n string += \\\"dims:\\\\n\\\\t\\\"\\n\\n string += \\\"{}\\\\n\\\".format(self.dims)\\n\\n string += \\\"coords:\\\\n\\\\t\\\"\\n string += \\\"\\\\n\\\\t\\\".join(map(repr, self.coords))\\n\\n string += \\\"\\\\n\\\"\\n\\n string += \\\"attrs:\\\\n\\\"\\n\\n for ix, key in enumerate(self.attrs.keys()):\\n if ix == self.max_print_attrs:\\n string += \\\"\\\\t+%i attrs\\\" % (len(self.attrs) - self.max_print_attrs)\\n break\\n string += \\\"\\\\t{!r}: {!r}\\\\n\\\".format(key, self.attrs[key])\\n\\n return string\",\n \"def __repr__ (self):\\n\\t\\tStr = \\\"\\\"\\n\\t\\tfor i in self.structref:\\n\\t\\t\\tStr = Str + \\\"%-15s = \\\"%(i[self.NAME])\\n\\t\\t\\tvalue = self.value [i[self.NAME]]\\n\\t\\t\\tif isInteger(value):\\n\\t\\t\\t\\tStr = Str + \\\"%d, 0x%X\\\"%(value,value)\\n\\t\\t\\t\\tif value >= 0x20 and value <= 0xFF:\\n\\t\\t\\t\\t\\tStr = Str + \\\" '\\\" + chr (value) + \\\"'\\\"\\n\\t\\t\\telse:\\n\\t\\t\\t\\tif type(value) == type(bytes(0)):\\n\\t\\t\\t\\t\\tStr = Str + value.decode(\\\"utf8\\\",\\\"ignore\\\")\\n\\t\\t\\t\\telse:\\n\\t\\t\\t\\t\\tStr = Str + str(value) \\n\\t\\t\\t\\t\\t\\n\\t\\t\\tStr = Str + \\\"\\\\n\\\"\\n\\t\\treturn Str\",\n \"def __str__(self):\\n string = \\\"| \\\"\\n for i in range(self.size):\\n if self.keys[i] is None:\\n pass\\n else:\\n string += str(i) + \\\"(\\\" + str(self.keys[i]) + \\\", \\\" + str(self.values[i]) + \\\") \\\"\\n string += \\\"|\\\"\\n return string\",\n \"def __str__(self) -> str:\\n return \\\"\\\".join([\\\"{\\\", \\\", \\\".join(map(str, self.__elements)), \\\"}\\\"])\",\n \"def __str__(self):\\n if len(self.label) > 0:\\n descr = [\\\"'%s', target='%s' [%s]\\\" % (self.label, self.target.name, self.target.body_type)]\\n else:\\n descr = [\\\"target='%s' [%s]\\\" % (self.target.name, self.target.body_type)]\\n if self.baseline:\\n descr[0] += ', initial baseline offset=%f' % (self.baseline.poly[-1],)\\n if self.beam:\\n descr[0] += ', beam height=%f' % (self.beam.height,)\\n for scan_ind, scan in enumerate(self.scans):\\n descr.append('%4d: %s' % (scan_ind, str(scan)))\\n return '\\\\n'.join(descr)\",\n \"def __str__(self):\\n if self.flaky:\\n fmt = 'flaky | '\\n else:\\n fmt = ''\\n fmt += '{2}: {0}'\\n if self.variant:\\n fmt += ' {1}'\\n return fmt.format(*self)\",\n \"def __str__(self):\\n\\n if not self:\\n return '\\\\0'\\n\\n parts = []\\n for name, value in self:\\n if value is None:\\n item = name\\n else:\\n item = '%s=%s' % (name, value)\\n if (not self.strict) and (len(item) > 255):\\n item = item[:255]\\n parts.append(chr(len(item)))\\n parts.append(item)\\n\\n return ''.join(parts)\",\n \"def __str__(self):\\n string = super().__str__()\\n string += \\\"\\\\n\\\" + str(self.get_dict())\\n return string\",\n \"def __str__(self):\\n ret = StringIO()\\n print >> ret, 'tree', self.tree\\n for parent in self.parents:\\n print >> ret, 'parent', parent\\n print >> ret, 'author', self.author\\n print >> ret, 'committer', self.committer\\n for key, value in self.other_header_lines:\\n print >> ret, key, value\\n print >> ret\\n print >> ret, '\\\\n'.join(self.message_lines)\\n if self.footer_lines:\\n print >> ret\\n for key, value in self.footer_lines:\\n print >> ret, '%s: %s' % (key, value)\\n v = ret.getvalue()\\n if self.no_trailing_nl:\\n v = v[:-1]\\n return v\",\n \"def __str__(self):\\n \\n result = '<' + self._name + ', ' + str(self._id) + ', ' + self._age + ', ' \\n for elem in self._direct:\\n result += elem.getID() + ', '\\n result += self._fitness + ', ' + self._immune + '>'\\n\\n return result\",\n \"def dumps(self) -> str:\\n ...\",\n \"def __str__(self) -> str:\\n st = \\\"<Output> \\\"\\n if self.inst_out:\\n st += f'instance:{self.inst_out};'\\n st += f'''{self.output} -> {self.target or '\\\"\\\"'} -> '''\\n if self.inst_in:\\n st += f\\\"instance:{self.inst_in};\\\"\\n st += self.input\\n\\n if self.params and not self.inst_in:\\n st += f\\\" ({self.params})\\\"\\n if self.delay != 0:\\n st += f\\\" after {self.delay} seconds\\\"\\n if self.times != -1:\\n st += \\\" (once only)\\\" if self.times == 1 else f\\\" ({self.times!s} times only)\\\"\\n return st\",\n \"def pretty_str(self) -> str:\\n ...\",\n \"def __str__(self) -> str:\\n\\n assert self.data is not None\\n border = \\\"****************************************\\\"\\n name_border = \\\"=\\\" * len(self.name)\\n lines = [border, name_border, self.name, name_border]\\n for spec in self.specs.values():\\n lines.append(str(spec))\\n lines.append(border)\\n return os.linesep.join(lines)\",\n \"def __str__(self) :\\n if not self.parsed :\\n return \\\"\\\"\\n mybuffer = []\\n mybuffer.append(\\\"IPP version : %s.%s\\\" % self.version)\\n mybuffer.append(\\\"IPP operation Id : 0x%04x\\\" % self.operation_id)\\n mybuffer.append(\\\"IPP request Id : 0x%08x\\\" % self.request_id)\\n for attrtype in self.attributes_types :\\n for attribute in getattr(self, \\\"_%s_attributes\\\" % attrtype) :\\n if attribute :\\n mybuffer.append(\\\"%s attributes :\\\" % attrtype.title())\\n for (name, value) in attribute :\\n mybuffer.append(\\\" %s : %s\\\" % (name, value))\\n # if self.data :\\n # mybuffer.append(\\\"IPP datas : %s\\\" % repr(self.data))\\n return \\\"\\\\n\\\".join(mybuffer)\",\n \"def __str__(self):\\n built_string = \\\"Graph(\\\"\\n built_string += str(self.get_nodes())\\n built_string += \\\", \\\"\\n built_string += str(self.get_edges())\\n built_string += \\\")\\\"\\n return built_string\",\n \"def __str__(self):\\n built_string = \\\"Graph(\\\"\\n built_string += str(self.get_nodes())\\n built_string += \\\", \\\"\\n built_string += str(self.get_edges())\\n built_string += \\\")\\\"\\n return built_string\",\n \"def __str__(self):\\n s = ''\\n for node in self.nodes:\\n s += '\\\\n\\\\n'+str(node)+'\\\\n\\\\t'\\n edges = node.getChildren()\\n keys = edges.keys()\\n keys.sort()\\n for key in keys:\\n bounds = edges[key].getSuffix()\\n s += str(edges[key])+' '\\n for i in xrange(bounds[0], bounds[1]):\\n s += self.target[i]\\n s += '\\\\n\\\\t'\\n return s\",\n \"def to_string(self):\\r\\n production_dict = self.get_production_dict()\\r\\n\\r\\n string_prods = ['S -> ' + ' | '.join([''.join(symbols) for symbols in production_dict.pop('S')])]\\r\\n for non_terminal, symbols_list in production_dict.items():\\r\\n string_prods.append(non_terminal + ' -> ' + ' | '.join([''.join(symbols) for symbols in symbols_list]))\\r\\n\\r\\n # concateate em\\r\\n return '\\\\n'.join(string_prods)\",\n \"def __str__(self) -> str:\\n st = \\\"<Entity>: \\\\n{\\\\n\\\"\\n for k, v in self._keys.items():\\n if not isinstance(v, list):\\n st += f\\\"\\\\t {k} = \\\\\\\"{v}\\\\\\\"\\\\n\\\"\\n if self._fixup is not None:\\n for k, v in self.fixup.items():\\n st += f\\\"\\\\t ${k} = \\\\\\\"{v}\\\\\\\"\\\\n\\\"\\n\\n for out in self.outputs:\\n st += f'\\\\t{out!s}\\\\n'\\n st += \\\"}\\\\n\\\"\\n return st\",\n \"def __str__(self):\\n return self.printable()\",\n \"def __str__(self):\\n\\n # Print the class and address.\\n msg = \\\"{0} at {1}\\\\n\\\".format(str(self.__class__), str(hex(id(self))))\\n\\n # Print some other basic information.\\n msg = \\\"{0} line name: ({1})\\\\n\\\".format(msg, self.name)\\n msg = \\\"{0} ping_time: ({1})\\\\n\\\".format(\\n msg,\\n self.ping_time.shape[0])\\n msg = \\\"{0} data: ({1})\\\\n\\\".format(\\n msg,\\n self.data.shape[0])\\n msg = \\\"{0} start time: {1}\\\\n\\\".format(msg,\\n self.ping_time[0])\\n msg = \\\"{0} end time: {1}\\\\n\\\" .format(msg,\\n self.ping_time[-1])\\n\\n return msg\",\n \"def __str__(self):\\n\\n # This appears at the end of the fed method line\\n strme = \\\"{} {} {} {}\\\"\\\\\\n .format(self.n_itr, self.i_beg, self.i_end, self.omega)\\n\\n return strme\",\n \"def __str__(self):\\n slist = self.buildstrings()\\n local_s = ''\\n for slistsub in range(0, len(slist)):\\n local_s += slist[slistsub]\\n if slistsub != len(slist)-1:\\n local_s += '\\\\n'\\n return local_s\",\n \"def __repr__(self) -> str:\\n return '{:s}({!r})'.format(self.__class__.__name__, self.getvalue())\",\n \"def __repr__(self) -> str:\\n return '{:s}({!r})'.format(self.__class__.__name__, self.getvalue())\",\n \"def __repr__(self) -> str:\\n return '{:s}({!r})'.format(self.__class__.__name__, self.getvalue())\",\n \"def __str__(self):\\n\\t\\n\\t\\tresult = \\\"\\\"\\n\\t\\tresult += \\\"Torsional Spring Specs: \\\\n\\\"\\n\\t\\tresult += \\\"Shape Eq. Slope: {0}\\\\n\\\".format(str(self.shape_slope))\\n\\t\\tresult += \\\"Z Thickness: {0}\\\\n\\\".format(str(self.z_thick))\\n\\t\\tresult += \\\"In-Plane Thickness: {0}\\\\n\\\".format(str(self.thick))\\n\\t\\tresult += \\\"Spiral Length: {0}\\\\n\\\".format(str(self.length))\\n\\n\\t\\treturn result\",\n \"def __repr__(self) -> str:\\n bits_str = \\\"\\\"\\n\\n raw_key = self.raw_key()\\n for byte_idx, chunk in enumerate(raw_key):\\n # Range from 7 to 0 inclusively:\\n for bit in range(7, -1, -1):\\n i = byte_idx * 8 + bit\\n if i < self.start() or i >= self.end():\\n bits_str += \\\"_\\\"\\n else:\\n bits_str += \\\"0\\\" if (1 << bit) & chunk == 0 else \\\"1\\\"\\n\\n bits_str += \\\"|\\\"\\n\\n format_str = \\\"ProofPath [ start: {}, end: {}, bits: {} ]\\\".format(self.start(), self.end(), bits_str)\\n return format_str\",\n \"def __str__(self):\\n [r,c],f = self.D, self.F\\n lmax = len(str(max(iter(self)))) + 1\\n s = '\\\\n'.join( (' '.join('{0:{l}G}'.format(f(i,j),l=lmax) if isinstance(f(i,j), int) or isinstance(f(i,j), float) else str(f(i,j)) for j in range(c))) for i in range(r))\\n return s\",\n \"def __str__(self):\\n\\n rep = 'Generalized Syllogism:\\\\n'\\n rep += '\\\\ttask: {}\\\\n'.format(self.task)\\n rep += '\\\\tencoded_task: {}\\\\n'.format(self.encoded_task)\\n rep += '\\\\tp1: {}\\\\n'.format(self.p1)\\n rep += '\\\\tp2: {}\\\\n'.format(self.p2)\\n rep += '\\\\tquantifier_p1: {}\\\\n'.format(self.quantifier_p1)\\n rep += '\\\\tquantifier_p2: {}\\\\n'.format(self.quantifier_p2)\\n rep += '\\\\tfigure: {}\\\\n'.format(self.figure)\\n rep += '\\\\tTerms:\\\\n'\\n rep += '\\\\t\\\\tA: {}\\\\n'.format(self.A)\\n rep += '\\\\t\\\\tB: {}\\\\n'.format(self.B)\\n rep += '\\\\t\\\\tC: {}\\\\n'.format(self.C)\\n return rep\",\n \"def toString(self, indent=\\\"\\\"):\\n return indent + self.__class__.__name__ + \\\": { }\\\"\",\n \"def __str__(self):\\r\\n return repr(self)\",\n \"def __str__(self):\\n return_string = self.name + \\\"\\\\n\\\" + str(self.traits)\\n\\n return return_string\",\n \"def __repr__(self):\\n result = '\\\"{0}\\\"'.format(self._filepath.unexpanded)\\n if self.nonlocal is None: result += \\\", None\\\"\\n else: result += ', \\\"%s\\\"' % (self._nonlocal.unexpanded)\\n result += \\\", %f, %f, %f, %f, %f\\\" % (self.s, self.p, self.d, self.pnl, self.dnl)\\n return result\",\n \"def generate(self):\\n output = \\\"\\\"\\n if self.source is not None:\\n output += f\\\"{self.source}>\\\"\\n else:\\n raise GenerateError(\\\"Missing source address\\\")\\n\\n if self.destination is not None:\\n output += f\\\"{self.destination},\\\"\\n else:\\n raise GenerateError(\\\"Missing destination address\\\")\\n\\n if self.path is not None:\\n output += f\\\"{self.path}:\\\"\\n else:\\n raise GenerateError(\\\"Missing path\\\")\\n\\n info = self.info\\n\\n if self.data_type_id is not None:\\n output += f\\\"{self.data_type_id}\\\"\\n else:\\n raise GenerateError(\\\"Missing data type ID\\\")\\n\\n if info is not None:\\n output += f\\\"{info}\\\"\\n else:\\n raise GenerateError(\\\"Missing info\\\")\\n\\n return output\",\n \"def __str__(self):\\n s = f\\\"{self.__class__.__name__}: \\\"\\n s += f\\\"x = {base.array2str(self._x)}\\\"\\n return s\",\n \"def __str__(self):\\n buf = io.StringIO()\\n args.output.write(buf, self.root, self.headings)\\n return buf.getvalue()\",\n \"def __str__(self):\\n return (\\\"UUID: \\\" + str(self.uuid) + \\\"\\\\n\\\"\\n \\\"Data: \\\" + str(self.data) + \\\"\\\\n\\\" +\\n \\\"Tex: \\\" + str(self.texOutput) + \\\"\\\\n\\\")\",\n \"def __str__(self):\\n state = ''\\n state += ' '.join([str(x) for x in self.pos]) + ' '\\n state += ''.join([str(x) + ' ' + str(y) + ' ' for x,\\n y in zip(self.BU, self.BD)])\\n for e in self.BF:\\n state += ' '.join([str(x) for x in e])\\n state += ' '\\n state += ' '.join([str(x) for x in self.LU]) + ' '\\n state += ' '.join([str(x) for x in self.LD]) + ' '\\n\\n return state\",\n \"def __str__(self):\\n\\n strme = \\\"fed method {} {} {} {}\\\"\\\\\\n .format(ExpandedEnsemble.key, self.eta0, self.c_upd, self.n_upd)\\n if self.smooth:\\n strme = \\\"{!s} {!s}\\\".format(strme, self.smooth)\\n\\n return strme\",\n \"def __str__(self):\\n to_print = '{} : {}\\\\n'.format('Name'.ljust(34),self.name)\\n to_print = to_print + '{} : {}\\\\n'.format('Name'.ljust(34),self.pathloss.name)\\n to_print = to_print + '{} : {}\\\\n'.format('Number of samples'.ljust(34),self.nsamples)\\n to_print = to_print + '{} : {}\\\\n'.format('Sensor model'.ljust(34),self.sensor_model.name)\\n to_print = to_print + '{} : {}\\\\n'.format('Motion model'.ljust(34),self.motion_model.name)\\n return to_print\",\n \"def __str__(self):\\n result = ('---> Population - Generation: ' + str(self.generation)\\n + '<--- \\\\n')\\n result += 'Fittest Chromosome: \\\\n' + str(self.fittest_chromosome)\\n\\n for chromosome in self.chromosomes:\\n result += str(chromosome) + '\\\\n'\\n\\n return result\",\n \"def __str__(self):\\r\\n def edgesFromVertex(u):\\r\\n \\\"\\\"\\\"\\r\\n Represents edges incident to the given vertex.\\r\\n \\\"\\\"\\\"\\r\\n edgeRepresentation = lambda v: f\\\"({u}, {v}, {self.capacity[(u, v)]})\\\"\\r\\n return \\\", \\\".join(map(edgeRepresentation, self.residualNeighbors(u)))\\r\\n\\r\\n def adjacencyLists():\\r\\n \\\"\\\"\\\"\\r\\n Represents edges incident to relevant vertices\\r\\n \\\"\\\"\\\"\\r\\n anyNeighbor = lambda u: any(self.neighbors(u))\\r\\n verticesWithNeighbors = filter(anyNeighbor, sorted(self.vertices()))\\r\\n return map(edgesFromVertex, verticesWithNeighbors)\\r\\n\\r\\n return \\\"\\\\n\\\".join(adjacencyLists())\",\n \"def _to_string(self):\\r\\n parts = []\\r\\n if self.offering:\\r\\n parts.extend([self.org, self.offering])\\r\\n if self.branch:\\r\\n parts.append(u\\\"{prefix}+{branch}\\\".format(prefix=self.BRANCH_PREFIX, branch=self.branch))\\r\\n if self.version_guid:\\r\\n parts.append(u\\\"{prefix}+{guid}\\\".format(prefix=self.VERSION_PREFIX, guid=self.version_guid))\\r\\n return u\\\"+\\\".join(parts)\",\n \"def to_string(self):\\n string = (\\n f\\\"r{self.num_repeat}_k{self.kernel_size}_s{self.stride}{self.stride}\\\"\\n f\\\"_e{self.expand_ratio}_i{self.input_filters}_o{self.output_filters}\\\"\\n f\\\"_se{self.se_ratio}\\\"\\n )\\n\\n if not self.id_skip:\\n string += \\\"_noskip\\\"\\n return string\",\n \"def __str__(self):\\n items = ['({!r})'.format(item) for item in self.items()]\\n return '[{}]'.format(' -> '.join(items))\",\n \"def generate(self):\\n return \\\"\\\"\",\n \"def __str__(self):\\n return repr(self)\",\n \"def __str__(self) -> str:\\n str_ = self.method\\n if self.basis is not None:\\n str_ += f'/{self.basis}'\\n if self.auxiliary_basis is not None:\\n str_ += f', auxiliary_basis: {self.auxiliary_basis}'\\n if self.dispersion is not None:\\n str_ += f', dispersion: {self.dispersion}'\\n if self.cabs is not None:\\n str_ += f', cabs: {self.cabs}'\\n if self.solvation_method is not None:\\n str_ += f', solvation_method: {self.solvation_method}'\\n if self.solvent is not None:\\n str_ += f', solvent: {self.solvent}'\\n if self.solvation_scheme_level is not None:\\n str_ += f\\\", solvation_scheme_level: '{str(self.solvation_scheme_level)}'\\\"\\n if self.software is not None:\\n str_ += f', software: {self.software}'\\n if self.software_version is not None:\\n str_ += f', software_version: {self.software_version}'\\n if self.args is not None and self.args and all([val for val in self.args.values()]):\\n if any([key == 'keyword' for key in self.args.keys()]):\\n str_ += ', keyword args:'\\n for key, arg in self.args.items():\\n if key == 'keyword':\\n str_ += f' {arg}'\\n if self.method_type is not None:\\n str_ += f' ({self.method_type})'\\n return str_\",\n \"def __str__(self):\\n string = 'input dim: {} \\\\noutput dim: {} \\\\n'.format(\\n self.dim_inputs, self.dim_outputs\\n )\\n string += 'sequence length: {} \\\\n'.format(\\n self.tensors[0].shape[1]\\n )\\n key = 'train' if self.train else 'test'\\n string += '{}_samples: {} \\\\n{}_sequences: {} \\\\n'.format(\\n key, self.experiment_length, key, self.tensors[0].shape[0]\\n )\\n return string\",\n \"def __str__(self):\\n out = \\\"\\\"\\n for i, m in enumerate(self):\\n out += \\\" \\\" + str(m) if i > 0 else str(m)\\n out += \\\" \\\"\\n return out\",\n \"def __str__(self):\\n if len(self.__keys) == 0:\\n return '{}'\\n output = '{'\\n fmt = '{}: {}, '\\n for key, val in zip(self.__keys, self.__vals):\\n output += fmt.format(repr(key), repr(val))\\n return output[:-2] + '}'\",\n \"def __str__(self):\\n\\t\\tif self.code == Const.NEWLINE:\\n\\t\\t\\treturn \\\"[newline]\\\"\\n\\t\\t\\n\\t\\tname = \\\"[\\\" + self.code\\n\\t\\tif self.code in (Const.numericalLiteral, Const.ID, Const.UET):\\n\\t\\t\\tname += \\\"(\\\" + self.value + \\\")\\\"\\n\\t\\tname += \\\"]\\\"\\n\\t\\treturn name\",\n \"def to_str(self) -> str:\\n return pprint.pformat(self.dict())\",\n \"def __str__(self):\\n out = str(self.tag_pairs)\\n if self.comment:\\n out += \\\"{\\\" + self.comment + \\\"} \\\"\\n out += self.format_body()\\n return out\",\n \"def __str__(self):\\n output = 'Pathogens:\\\\n'\\n for x in self.extant_p:\\n output += ' n %s h %f d %f host %s extant\\\\n' % (x.name, x.height, x.dist, x.host.name)\\n for x in self.not_extant_p:\\n output += ' n %s h %f d %f host %s not extant\\\\n' % (x.name, x.height, x.dist, x.host.name)\\n for x in self.not_yet_sampled_p:\\n output += ' n %s h %f d %f host %s not yet sampled\\\\n' % (x.name, x.height, x.dist, x.host.name)\\n\\n output += 'Hosts:\\\\n'\\n for x in self.extant_h:\\n output += ' %s %f %f extant\\\\n' % (x.name, x.height, x.dist)\\n for x in self.not_extant_h:\\n output += ' %s %f %f not extant\\\\n' % (x.name, x.height, x.dist)\\n for x in self.not_yet_sampled_h:\\n output += ' %s %f %f not yet sampled\\\\n' % (x.name, x.height, x.dist)\\n\\n return output\",\n \"def __str__(self):\\n # special cases\\n if self.is_nan() :\\n return \\\"nan\\\"\\n elif self.coeff == 1 :\\n if self.expt == 1 :\\n return \\\"x\\\"\\n else :\\n return \\\"x^\\\" + str(self.expt)\\n elif self.coeff == -1 :\\n if self.expt == 1 :\\n return \\\"-x\\\"\\n else :\\n return \\\"-x^\\\" + str(self.expt)\\n \\n # str_builder\\n if self.expt == 0 :\\n if self.coeff.denominator == 1 :\\n return str(self.coeff.nominator)\\n else :\\n return \\\"{}/{}\\\".format(str(self.coeff.nominator), str(self.coeff.denominator))\\n elif self.expt == 1 :\\n if self.coeff.denominator == 1 :\\n return str(self.coeff.nominator) + \\\"*x\\\"\\n else :\\n return \\\"{}/{}\\\".format(str(self.coeff.nominator), str(self.coeff.denominator)) + \\\"*x\\\"\\n else :\\n if self.coeff.denominator == 1 :\\n return str(self.coeff.nominator) + \\\"*x^\\\" + str(self.expt)\\n else :\\n return \\\"{}/{}\\\".format(str(self.coeff.nominator), str(self.coeff.denominator)) + \\\"*x^\\\" + str(self.expt)\",\n \"def __str__(self):\\n s = ''\\n for vertex in self.vertices:\\n s += vertex.__str__()\\n s += \\\"\\\\n\\\"\\n return s\",\n \"def StringRep(self, val):\\n try:\\n return val.DebugString()\\n except Exception:\\n try:\\n return str(val.__dict__)\\n except Exception:\\n return repr(val)\",\n \"def __repr__(self):\\n\\n repme = \\\"x0= {!r}, kf= {!r}, n_upd= {!r}\\\"\\\\\\n .format(self.x0, self.kf, self.n_upd)\\n\\n return \\\"UmbrellaSampling({!s})\\\".format(repme)\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.7799535","0.7534602","0.75197923","0.74372685","0.74313945","0.7339175","0.73214805","0.7317239","0.7267127","0.72524047","0.7245168","0.7245168","0.7243733","0.7197564","0.71928585","0.7191292","0.7177097","0.7144848","0.7140431","0.7131467","0.71270335","0.70995843","0.7099014","0.7093459","0.70841223","0.70812875","0.707917","0.7069299","0.70610195","0.70562994","0.705467","0.705285","0.7049464","0.7037339","0.7028832","0.7005026","0.70037204","0.7001607","0.6999083","0.6996788","0.6988884","0.69856364","0.69845194","0.6984365","0.6981277","0.6976988","0.69760716","0.69734997","0.6966954","0.69648623","0.69610864","0.6955185","0.69550055","0.69438744","0.69420505","0.6935421","0.6935421","0.6930799","0.6929609","0.69275886","0.69274336","0.69242895","0.6924199","0.69231224","0.69207484","0.69207484","0.69207484","0.6919842","0.69195634","0.6918556","0.6917577","0.6916888","0.69161516","0.691387","0.6912067","0.6909621","0.6909302","0.690748","0.6904741","0.6903593","0.6899976","0.68996644","0.68976575","0.68917","0.68874586","0.68869674","0.6871725","0.6870584","0.68694365","0.6860041","0.68586844","0.6858503","0.68572","0.68563914","0.68517375","0.6847788","0.68463737","0.6846276","0.68444693","0.6839615","0.6839116"],"string":"[\n \"0.7799535\",\n \"0.7534602\",\n \"0.75197923\",\n \"0.74372685\",\n \"0.74313945\",\n \"0.7339175\",\n \"0.73214805\",\n \"0.7317239\",\n \"0.7267127\",\n \"0.72524047\",\n \"0.7245168\",\n \"0.7245168\",\n \"0.7243733\",\n \"0.7197564\",\n \"0.71928585\",\n \"0.7191292\",\n \"0.7177097\",\n \"0.7144848\",\n \"0.7140431\",\n \"0.7131467\",\n \"0.71270335\",\n \"0.70995843\",\n \"0.7099014\",\n \"0.7093459\",\n \"0.70841223\",\n \"0.70812875\",\n \"0.707917\",\n \"0.7069299\",\n \"0.70610195\",\n \"0.70562994\",\n \"0.705467\",\n \"0.705285\",\n \"0.7049464\",\n \"0.7037339\",\n \"0.7028832\",\n \"0.7005026\",\n \"0.70037204\",\n \"0.7001607\",\n \"0.6999083\",\n \"0.6996788\",\n \"0.6988884\",\n \"0.69856364\",\n \"0.69845194\",\n \"0.6984365\",\n \"0.6981277\",\n \"0.6976988\",\n \"0.69760716\",\n \"0.69734997\",\n \"0.6966954\",\n \"0.69648623\",\n \"0.69610864\",\n \"0.6955185\",\n \"0.69550055\",\n \"0.69438744\",\n \"0.69420505\",\n \"0.6935421\",\n \"0.6935421\",\n \"0.6930799\",\n \"0.6929609\",\n \"0.69275886\",\n \"0.69274336\",\n \"0.69242895\",\n \"0.6924199\",\n \"0.69231224\",\n \"0.69207484\",\n \"0.69207484\",\n \"0.69207484\",\n \"0.6919842\",\n \"0.69195634\",\n \"0.6918556\",\n \"0.6917577\",\n \"0.6916888\",\n \"0.69161516\",\n \"0.691387\",\n \"0.6912067\",\n \"0.6909621\",\n \"0.6909302\",\n \"0.690748\",\n \"0.6904741\",\n \"0.6903593\",\n \"0.6899976\",\n \"0.68996644\",\n \"0.68976575\",\n \"0.68917\",\n \"0.68874586\",\n \"0.68869674\",\n \"0.6871725\",\n \"0.6870584\",\n \"0.68694365\",\n \"0.6860041\",\n \"0.68586844\",\n \"0.6858503\",\n \"0.68572\",\n \"0.68563914\",\n \"0.68517375\",\n \"0.6847788\",\n \"0.68463737\",\n \"0.6846276\",\n \"0.68444693\",\n \"0.6839615\",\n \"0.6839116\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":20493,"cells":{"query":{"kind":"string","value":"Testing to provide mandatory parameters only."},"document":{"kind":"string","value":"def test_minimal_valid(self):\n config = ShellConfig(script='echo \"hello world\"')\n assert_that(config.script, equal_to('echo \"hello world\"'))\n assert_that(config.title, equal_to(''))\n assert_that(config.model, equal_to({}))\n assert_that(config.env, equal_to({}))\n assert_that(config.item, equal_to(None))\n assert_that(config.dry_run, equal_to(False))\n assert_that(config.debug, equal_to(False))\n assert_that(config.strict, equal_to(False))\n assert_that(config.variables, equal_to({}))"},"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 __mandatory_is_not_given(self):\n\n strTestName = 'Mandatory parameter must be given (incorrect)'\n RxCSObject = _RxCSobject()\n\n RxCSObject.paramAddMan('mandatory_parameter', 'Mandatory parameter')\n\n self.__parametersCheck_error(RxCSObject, ParameterMissingError, strTestName)","def check_params(self):\n raise NotImplementedError","def _check_params(self):\n pass","def __mandatory_is_given(self):\n\n strTestName = 'Mandatory parameter is given (correct)'\n RxCSObject = _RxCSobject()\n\n RxCSObject.paramAddMan('mandatory_parameter', 'Mandatory parameter')\n RxCSObject.mandatory_parameter = 1\n self.__parametersCheck_error(RxCSObject, 'correct', strTestName)","def params_required(self) -> bool:\n if self.no_params or self.params_optional:\n return False\n else:\n return True","def test_one_missing_one_provided(self):\n from plone.api.exc import MissingParameterError\n _func = required_parameters('arg1', 'arg2')(undecorated_func)\n with self.assertRaises(MissingParameterError):\n _func('hello')","def test_missing_required_params():\n from scraper import get_inspection_page\n with pytest.raises(TypeError):\n get_inspection_page(only_param='val')","def _validate_params(self):\n raise NotImplementedError('Must be implemented in subclasses.')","def test_require():\n assert is_required('test') is None\n assert is_required(None)","def test_required_parameters(self):\n\n consumer = LTIConsumerFactory(slug=\"consumer\")\n passport = LTIPassportFactory(title=\"consumer1_passport1\", consumer=consumer)\n\n # Missing param : lis_person_sourcedid or ext_user_username or user_id\n with self.assertRaises(PermissionDenied):\n self._authenticate(\n {\n \"lti_message_type\": \"basic-lti-launch-request\",\n \"lti_version\": \"LTI-1p0\",\n \"resource_link_id\": \"aaa\",\n \"context_id\": \"course-v1:fooschool+authbackend+0001\",\n \"lis_person_contact_email_primary\": \"ashley@example.com\",\n },\n passport,\n )","def test_no_required_argument(self):\n self._test( # pylint: disable=no-value-for-parameter\n [\"\"], error_classes.MissingContent\n )","def checkNeededParams(self):\n for clp,value in self.neededParamsNames.items():\n if value[0] not in self.neededParams:\n print >> sys.stderr, clp+\" is a mandatory parameter \"\n self.printUsage()\n sys.exit(1)","def test_missing_required(self):\n param_types = {\n 'string': str,\n 'unicode': unicode,\n 'integer': int,\n 'boolean': bool,\n 'list': list,\n 'json': 'json',\n 'datetime': 'datetime',\n 'date': 'date',\n }\n expected_types = {\n 'string': '',\n 'unicode': u'',\n 'integer': 0,\n 'boolean': False,\n 'list': [],\n 'json': u'',\n 'datetime': None,\n 'date': None,\n }\n handler = self.create_handler(r'')\n self.assertEqual(handler.get_params(param_types, required=True),\n expected_types)","def test_single_arg_missing(self):\n from plone.api.exc import MissingParameterError\n _func = required_parameters('arg1')(undecorated_func)\n with self.assertRaises(MissingParameterError):\n _func()","def test_overridable_parameter() -> None:\n param_dict = ParamClass.get_overridable_parameters()\n assert \"name\" in param_dict\n assert \"flag\" in param_dict\n assert \"not_flag\" in param_dict\n assert \"seed\" in param_dict\n assert \"number\" in param_dict\n assert \"integers\" in param_dict\n assert \"optional_int\" in param_dict\n assert \"optional_float\" in param_dict\n assert \"tuple1\" in param_dict\n assert \"int_tuple\" in param_dict\n assert \"enum\" in param_dict\n assert \"readonly\" not in param_dict\n assert \"_non_override\" not in param_dict\n assert \"constant\" not in param_dict","def test_checkParameters(self):\n self.failUnlessEqual(self.nice.opts['long'], \"Alpha\")\n self.failUnlessEqual(self.nice.opts['another'], \"Beta\")\n self.failUnlessEqual(self.nice.opts['longonly'], \"noshort\")\n self.failUnlessEqual(self.nice.opts['shortless'], \"Gamma\")","def check_mandatory(params: Dict[str, str]):\n for key, val in params.items():\n if val is None or val == '':\n raise ValueError(f'Missing mandatory param: `{key}`.')","def _check_required_fields(self):\n assert self.title\n assert self.format","def _check_required_params(self):\n logging.debug('.. check if Experiment have all required parameters')\n for n in self.REQUIRED_PARAMS:\n if n not in self.params:\n raise ValueError('missing \"%s\" among %r' % (n, self.params.keys()))","def checkParameters(self):\n EDVerbose.DEBUG(\"EDPluginExecGnomv0_1.checkParameters\")\n self.checkMandatoryParameters(self.dataInput, \"Data Input is None\")\n self.checkMandatoryParameters(self.dataInput.experimentalDataQ, \"Scattering vector values are missing\")\n self.checkMandatoryParameters(self.dataInput.experimentalDataValues, \"Experimental intensity values are missing\")","def test_validate_params(mocker, params):\n validate_params(**params)","def _CheckMissingRequiredParameters(event_type, required_params, given_params):\n missing_parameters = (\n set(required_params) -\n set(given_params))\n if missing_parameters:\n raise exceptions.MissingRequiredEventTypeParameters(\n missing_parameters, event_type)","def precondition(self, *args, **kwargs):\n pass","def __optional_is_not_given(self):\n\n strTestName = 'Optional parameter is not given (incorrect)'\n RxCSObject = _RxCSobject()\n\n RxCSObject.paramAddOpt('optional_parameter', 'Optional parameter')\n\n self.__parametersCheck_error(RxCSObject, 'correct', strTestName)","def checkParameters(self):\n self.DEBUG(\"EDPluginExecDatGnomv1_0.checkParameters\")\n self.checkMandatoryParameters(self.dataInput, \"Data Input is None\")\n self.checkMandatoryParameters(self.dataInput.inputCurve, \"No input Curve file provided\")","def _validate_params(self):\n assert set(self.required_params) - set(self._params) == set()\n for par, val in self.optional_params.items():\n if par not in self._params:\n self._params[par] = val","def checkParameters(self):\n EDVerbose.DEBUG(\"EDPluginControlAbsorptionv0_1.checkParameters\")\n self.checkMandatoryParameters(self.getDataInput(), \"Data Input is None\")","def testPreconditions(self):\n self.assertTrue(\n __debug__, \"__debug__ must be True, otherwise asserts are ignored\"\n )","def test_need_params(self):\n\n acme = ACMEAccount(client=self.client)\n # missing acme_id, name\n self.assertRaises(TypeError, acme.create)\n # missing name\n self.assertRaises(TypeError, acme.create, 1234)","def test_require_at_least_one_but_none_provided(self):\n from plone.api.exc import MissingParameterError\n _func = at_least_one_of('arg1', 'arg2')(undecorated_func)\n with self.assertRaises(MissingParameterError):\n _func()","def test_non_existant_required_arg(self):\n with self.assertRaises(ValueError):\n _func = required_parameters('arg1', 'wibble', 'wobble')\n _func(undecorated_func)\n\n with self.assertRaises(ValueError):\n _func = mutually_exclusive_parameters(\n 'arg1',\n 'wibble',\n 'wobble'\n )\n _func(undecorated_func)","def test_no_param(self) -> None:\n res = self.app.get('/model-parameters')\n self.assertEqual(400, res.status_code)","def __verify_required_parameters(self, parameters, required_parameters):\n\n\t\tfor parameter in required_parameters:\n\t\t\tif False == parameters.has_key(parameter):\n\t\t\t\traise MissingParameterError(parameter)\n\n\t\treturn True","def test_need_params(self):\n\n acme = ACMEAccount(client=self.client)\n # missing name, acme_server, org_id\n self.assertRaises(TypeError, acme.create)\n # missing acme_server, org_id\n self.assertRaises(TypeError, acme.create, \"name\")\n # missing org_id\n self.assertRaises(TypeError, acme.create, \"name\", \"acme_server\")","def _required_parameters(self) -> RequiredParameters:\n return RequiredParameters([])","def _required_parameters(self) -> RequiredParameters:\n return RequiredParameters([])","def checkParameters(self):\n self.DEBUG(\"EDPluginWaitMultiFile.checkParameters\")\n self.checkMandatoryParameters(self.dataInput, \"Data Input is None\")\n self.checkMandatoryParameters(self.dataInput.expectedFile, \"Data Input is None\")\n self.checkMandatoryParameters(self.dataInput.expectedSize, \"Data Input is None\")","def test_exactly_one_required(self):\n\n @mutually_exclusive_parameters('arg1', 'arg2')\n @at_least_one_of('arg1', 'arg2')\n def _func1_decorated(arg1=None, arg2=None, arg3=None):\n return 'foo'\n\n from plone.api.exc import InvalidParameterError\n from plone.api.exc import MissingParameterError\n\n # test it errors if you provide none\n with self.assertRaises(MissingParameterError):\n _func1_decorated()\n\n # test that it errors if you provide both\n with self.assertRaises(InvalidParameterError):\n _func1_decorated('ahoy', 'there')\n\n # everything ok\n self.assertEqual(_func1_decorated('ahoy'), 'foo')\n self.assertEqual(_func1_decorated('ahoy', arg3='there'), 'foo')","def test_missing_optional(self):\n param_types = {\n 'string': str,\n 'unicode': unicode,\n 'integer': int,\n 'boolean': bool,\n 'list': list,\n 'json': 'json',\n 'datetime': 'datetime',\n 'date': 'date',\n }\n expected_types = {}\n handler = self.create_handler(r'')\n self.assertEqual(handler.get_params(param_types), expected_types)","def test_single_positional_arg_provided(self):\n _func = required_parameters('arg1')(undecorated_func)\n self.assertEqual(_func('hello'), 'foo')","def is_mandatory_arg(self, arg_name): \n return arg_name in self.get_mandatory_args()","def testRequiredParameterList(self):\n api = self.ApiFromDiscoveryDoc(self.__TEST_DISCOVERY_DOC)\n\n tests_executed = 0\n\n for resource in api.values['resources']:\n if resource.values['wireName'] == 'activities':\n for method in resource.values['methods']:\n if method.required_parameters:\n required_names = [p.values['wireName']\n for p in method.required_parameters]\n self.assertEquals(method.values['parameterOrder'], required_names)\n tests_executed += 1\n\n if method.values['wireName'] == 'get':\n optional_names = [p.values['wireName']\n for p in method.optional_parameters]\n self.assertEquals(['truncateAtom', 'max-comments', 'hl',\n 'max-liked'],\n optional_names)\n tests_executed += 1\n self.assertEquals(6, tests_executed)","def check_required(self, required):\n for k in required:\n if self.__dict__.get(k) is None:\n raise ValueError(\n \"Required argument: '{0}' not provided\".format(k))","def checkParameters(self):\n self.DEBUG(\"EDPluginExecDamstartv0_3.checkParameters\")\n self.checkMandatoryParameters(self.dataInput, \"Data Input is None\")\n self.checkMandatoryParameters(self.dataInput.getInputPdbFile(), \"No template file specified\")","def test_parameterless_calls(self):\n for attr in dir(api):\n func = getattr(api, attr)\n if callable(func): \n spec = inspect.getargspec(func)\n if not spec.args and not spec.varargs and not spec.keywords and not spec.defaults:\n func()","def test_good_custom_params(self):\n self.xmodule.custom_parameters = ['test_custom_params=test_custom_param_value']\n self.xmodule.get_client_key_secret = Mock(return_value=('test_client_key', 'test_client_secret'))\n self.xmodule.oauth_params = Mock()\n self.xmodule.get_input_fields()\n self.xmodule.oauth_params.assert_called_with(\n {'custom_test_custom_params': 'test_custom_param_value'},\n 'test_client_key', 'test_client_secret'\n )","def test_good_custom_params(self):\r\n self.xmodule.custom_parameters = ['test_custom_params=test_custom_param_value']\r\n self.xmodule.get_client_key_secret = Mock(return_value=('test_client_key', 'test_client_secret'))\r\n self.xmodule.oauth_params = Mock()\r\n self.xmodule.get_input_fields()\r\n self.xmodule.oauth_params.assert_called_with(\r\n {u'custom_test_custom_params': u'test_custom_param_value'},\r\n 'test_client_key', 'test_client_secret'\r\n )","def mandatory_parameter_check(params):\n required_params = ['user_text', 'latitude', 'longitude']\n result = {\n 'fault ': False,\n 'cause ': \" \"\n }\n\n cause = \"Mandatory parameter missing : \"\n for req_param in required_params:\n if req_param not in params:\n cause = cause + \" \" + req_param\n result['fault '] = True\n result['cause'] = cause\n\n return result","def test_data_in_param(self):","def check_required(self):\n for argument in self.arguments:\n if argument.required:\n raise ArgumentRequiredError(argument, self.tagname)\n else:\n self.kwargs[argument.name] = argument.get_default()","def test_required_methods(self):","def test_defaults(self):\n varp = VarPositional()\n fparam = self.assert_iterable_and_get_fparam(varp)\n assert fparam.name == 'args'\n assert fparam.type == empty\n assert not fparam.converter\n assert not fparam.validator\n assert not fparam.metadata","def setUp(self):\n\t\tprint(\"\\n-------------------------------------\\nIn Test_ValidParams:\", self._testMethodName)","def check_required_parameters(required_params_dict=dict()):\r\n print threading.currentThread().getName(), 'Starting'\r\n is_valid = True\r\n required_params_not_set = pythontools.validate_required_parameters(required_params_dict)\r\n if len(required_params_not_set) > 0:\r\n is_valid = False\r\n msg = \"Validate all required input parameters are set failed.\"\r\n for param in required_params_not_set:\r\n steplog.error(\"Required parameter %s is not set.\" % param)\r\n else:\r\n msg = \"Validate all required input parameters are set succeeded.\"\r\n return is_valid, msg","def _check_required_parameters(\n self,\n required_parameters,\n parameters\n ):\n self.log([u\"Checking required parameters '%s'\", required_parameters])\n self.log(u\"Checking input parameters are not empty\")\n if (parameters is None) or (len(parameters) == 0):\n self._failed(u\"No parameters supplied.\")\n return\n self.log(u\"Checking no required parameter is missing\")\n for req_param in required_parameters:\n if req_param not in parameters:\n self._failed(u\"Required parameter '%s' not set.\" % req_param)\n return\n self.log(u\"Checking all parameter values are allowed\")\n self._check_allowed_values(parameters)\n self.log(u\"Checking all implied parameters are present\")\n self._check_implied_parameters(parameters)\n return self.result","def _assertParams(self) -> None:\n params = parse_qs(self.http_client.request.call_args[1][\"data\"].decode(\"utf-8\"))\n self.assertEqual(params[\"token\"], [\"mockAccessToken\"])\n self.assertEqual(params[\"client_id\"], [CLIENT_ID])\n self.assertEqual(params[\"client_secret\"], [CLIENT_SECRET])","def test_minimum_args(self) -> None:\n schema = JSONSchema()\n self.assertIsInstance(schema.schema, str)\n self.assertIsNone(schema.title)\n self.assertIsNone(schema.description)","def test_optional_arg(self):\n obj = Base()\n self.assertEqual(obj.id, 1)","def checkParameters(self):\n self.DEBUG(\"EDPluginExecDatcmpv2_0.checkParameters\")\n self.checkMandatoryParameters(self.getDataInput(), \"Data Input is None\")\n self.checkMandatoryParameters(self.getDataInput().inputCurve, \"No input 1D curves file provided\")","def test_bad_custom_params(self):\n bad_custom_params = ['test_custom_params: test_custom_param_value']\n self.xmodule.custom_parameters = bad_custom_params\n self.xmodule.get_client_key_secret = Mock(return_value=('test_client_key', 'test_client_secret'))\n self.xmodule.oauth_params = Mock()\n with pytest.raises(LTIError):\n self.xmodule.get_input_fields()","def test_missing_parameters(self):\n # request\n request_body = {\n 'wwuid': self.student.wwuid,\n 'enroll_key': self.labgroup.enroll_key\n }\n response = self.client.post(reverse(self.view_name), request_body)\n # test response\n self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST)\n # test database\n self.assertEqual(Student.objects.first().labgroup, None)","def _check_whether_has_params(self, params) -> bool:\n\n if params:\n return True\n return False","def test_default_parameters(self):\n\n # assert self.test_shape.rotation_angle == 360\n assert self.test_shape.start_angle == 0","def test_default_parameters(self):\n\n assert self.test_shape.rotation_angle == 360\n assert self.test_shape.extrude_both","def test_test_group_parameters(self):\n pass","def _is_parameters_ok(self):\n if self.api_key is None:\n raise MissingParameterException(\"OpenWeatherMap neuron needs an api_key\")\n if self.location is None:\n raise MissingParameterException(\"OpenWeatherMap neuron needs a location\")\n\n return True","def _is_parameters_ok(self):\n if self.api_key is None:\n raise MissingParameterException(\"OpenWeatherMap neuron needs an api_key\")\n if self.location is None:\n raise MissingParameterException(\"OpenWeatherMap neuron needs a location\")\n\n return True","def test_single_keyword_arg_provided(self):\n _func = required_parameters('arg1')(undecorated_func)\n self.assertEqual(_func(arg1='hello'), 'foo')","def test_get_required_parameters_by_path_can_be_asserted(self) -> None:\n\n self.parameter_store.client.get_parameters_by_path.return_value = {\n \"Parameters\": [\n # Only one of the required parameters is returned.\n {\"Name\": \"/path/sub/key\", \"Value\": \"foo_ssm_value_1\"},\n {\"Name\": \"/path/sub/key2\", \"Value\": \"foo_ssm_value_2\"},\n ]\n }\n\n expected_msg = \"Missing parameters [baz, foo/bar] on path /path/sub/\"\n with self.assertRaises(MissingParameterError, msg=expected_msg) as exc_info:\n self.parameter_store.get_parameters_by_path(\n \"/path/sub/\", required_parameters={\"baz\", \"foo/bar\", \"key\"}\n )\n assert exc_info.exception.parameter_path == \"/path/sub/\"\n assert len(exc_info.exception.parameter_names) == 2\n assert sorted(exc_info.exception.parameter_names) == sorted([\"baz\", \"foo/bar\"])","def test_build__requires_name_param(self) -> None:\n with pytest.raises(TypeError) as e:\n Service() # type: ignore\n assert \"required positional argument: 'name'\" in str(e.value)","def validate_params(params, expected, opt_param=set()):\n expected = set(expected)\n opt_param = set(opt_param)\n pkeys = set(params)\n if expected - pkeys:\n raise ValueError(\"Required keys {} not in supplied parameters\"\n .format(\", \".join(expected - pkeys)))\n defined_param = expected | opt_param\n for param in params:\n if param not in defined_param:\n logger.warning(\"Unexpected parameter {} supplied\".format(param))","def _validate(self):\n for p in self.parameters:\n #Check for missing required parameters:\n if p.is_required and not(p.is_set):\n raise ValueError(\"Parameter %s is not set.\" \\\n % p.names[-1])\n #Also repeat the parameter validation here, just in case?","def test_missing_args(self, test, x, y, z=3, _private_arg=3): # noqa: D213, D407","def test_bad_custom_params(self):\r\n bad_custom_params = ['test_custom_params: test_custom_param_value']\r\n self.xmodule.custom_parameters = bad_custom_params\r\n self.xmodule.get_client_key_secret = Mock(return_value=('test_client_key', 'test_client_secret'))\r\n self.xmodule.oauth_params = Mock()\r\n with self.assertRaises(LTIError):\r\n self.xmodule.get_input_fields()","def validate_params(params, expected, opt_param=set()):\n expected = set(expected)\n opt_param = set(opt_param)\n pkeys = set(params)\n if expected - pkeys:\n raise ValueError(\"Required keys {} not in supplied parameters\"\n .format(\", \".join(expected - pkeys)))\n defined_param = expected | opt_param\n for param in params:\n if param not in defined_param:\n logging.warning(\"Unexpected parameter {} supplied\".format(param))","def _check_param(in_params, req_param, opt_param=list()):\n for param in req_param:\n if param not in in_params:\n raise ValueError('{} parameter is required'.format(param))\n defined_param = set(req_param + opt_param)\n for param in in_params:\n if param not in defined_param:\n print(\n \"WARNING: received unexpected parameter {}\".format(param))","def test_no_parameter(self):\n\n request = service.get_request('GET', {})\n x = self.start_request_tests(request)\n self.assertTrue(x.status_code >= 400)\n self.assertTrue(u'taxon' in x.json()[u'message'], \n 'no \"taxon\" in \"%s\"' % x.json()[u'message'])","def test_params_passed(self, mock_field_validator, mock_error_builder):\n\n ChargeTypeValidator.validate(CHARGE_TYPE)\n\n calls = [\n call(CHARGE_TYPE, 'charge-type', 'Charge type', mock_error_builder(),\n summary_message='Choose one option', inline_message='Choose one option'),\n call().is_required()\n ]\n mock_field_validator.assert_has_calls(calls)","def test_creation_notallow_none():\n with pytest.raises(ValueError) as __:\n value = None\n __ = param.Integer(value=value, allow_None=False)","def test_create_user_missing_mandatory_field_values(self):\n print(\"Missing First Name\")\n kwargs = {\"first_name\":\"\", \"return_response_obj\": True, \"return_failure_response\": True}\n response = self.test_create_user_endpoint(**kwargs)\n\n print(\"Verify Response body\")\n expected_result = self.test_args[\"expected_result\"][\"missing_first_name\"]\n actual_result = json.loads(response.text)[\"message\"]\n assert actual_result == expected_result, \"Test Failed.. Expected: {0}.. Actual: {1}\".format(expected_result,\n actual_result)\n\n print(\"Missing Last Name\")\n kwargs = {\"last_name\": \"\", \"return_response_obj\": True, \"return_failure_response\": True}\n response = self.test_create_user_endpoint(**kwargs)\n\n print(\"Verify Response body\")\n expected_result = self.test_args[\"expected_result\"][\"missing_last_name\"]\n actual_result = json.loads(response.text)[\"message\"]\n assert actual_result == expected_result, \"Test Failed.. Expected: {0}.. Actual: {1}\".format(expected_result,\n actual_result)\n\n print(\"Missing Password Name\")\n kwargs = {\"password\": \"\", \"return_response_obj\": True, \"return_failure_response\": True}\n response = self.test_create_user_endpoint(**kwargs)\n\n print(\"Verify Response body\")\n expected_result = self.test_args[\"expected_result\"][\"missing_password\"]\n actual_result = json.loads(response.text)[\"message\"]\n assert actual_result == expected_result, \"Test Failed.. Expected: {0}.. Actual: {1}\".format(expected_result,\n actual_result)\n\n print(\"Missing Email id\")\n kwargs = {\"email\": \"\", \"return_response_obj\": True, \"return_failure_response\": True}\n response = self.test_create_user_endpoint(**kwargs)\n\n print(\"Verify Response body\")\n expected_result = self.test_args[\"expected_result\"][\"missing_email\"]\n actual_result = json.loads(response.text)[\"message\"]\n assert actual_result == expected_result, \"Test Failed.. Expected: {0}.. Actual: {1}\".format(expected_result,\n actual_result)","def check_params(params):\n\n required = ['gtsrb_train_root', 'gtsrb_test_root', 'batch_size']\n for r in required:\n assert r in params.keys(), 'Params must include {}'.format(r)","def _check_parameters(self, ep, params):\n\n any_group_satisfied = False\n for group in ep.REQUIRED:\n if all(required_param in params for required_param in group):\n any_group_satisfied = True\n\n if not any_group_satisfied:\n raise ValueError(f\"Got parameters {params}, expected one of {ep.REQUIRED}\")\n\n for key in params:\n if key not in ep.POSSIBLE:\n raise ValueError(f\"Got {key}, expected one of {ep.POSSIBLE}\")","def test_get_params():\n model = BERTopic()\n params = model.get_params()\n assert not params[\"embedding_model\"]\n assert not params[\"low_memory\"]\n assert not params[\"nr_topics\"]\n assert params[\"n_gram_range\"] == (1, 1)\n assert params[\"min_topic_size\"] == 10\n assert params[\"language\"] == 'english'","def check_params(params):\n\n required = ['initlandmarks']\n for r in required:\n assert r in params.keys(), 'Params must include {}'.format(r)","def test_parameters(self):\n self.assert_initialize_driver()\n #reply = self.driver_client.cmd_dvr('get_resource', Parameter.ALL)\n #self.assert_driver_parameters(reply, verify_sample_interval=True)","def test_validParameters(self):\n # stupid/simple inputs\n h = Helix(\"thing\", \"Cu\", 0, 0, 1, 1, 1)\n self.assertEqual(h.getDimension(\"axialPitch\"), 1)\n\n # standard case / inputs ordered well\n h = Helix(\n \"what\",\n \"Cu\",\n Tinput=25.0,\n Thot=425.0,\n id=0.1,\n od=0.35,\n mult=1.0,\n axialPitch=1.123,\n helixDiameter=1.5,\n )\n self.assertTrue(1.123 < h.getDimension(\"axialPitch\") < 1.15)\n\n # inputs ordered crazy\n h = Helix(\n material=\"Cu\",\n id=0.1,\n mult=1.0,\n Tinput=25.0,\n Thot=425.0,\n axialPitch=1.123,\n name=\"stuff\",\n od=0.35,\n helixDiameter=1.5,\n )\n self.assertTrue(1.123 < h.getDimension(\"axialPitch\") < 1.15)\n\n # missing helixDiameter input\n with self.assertRaises(TypeError):\n h = Helix(\n name=\"helix\",\n material=\"Cu\",\n Tinput=25.0,\n Thot=425.0,\n id=0.1,\n od=0.35,\n mult=1.0,\n axialPitch=1.123,\n )","def __validate__(self):\n if self.train:\n assert self.random is not None","def test_need_params(self):\n\n acme = ACMEAccount(client=self.client)\n # missing acme_id, domains\n self.assertRaises(TypeError, acme.add_domains)\n # missing domains\n self.assertRaises(TypeError, acme.add_domains, 1234)\n # domains is not iterable\n self.assertRaises(TypeError, acme.add_domains, 1234, None)","def check_params(params):\n assert 'split' in params.keys(\n ), 'Params must include split (train, val, or test).'\n\n required = ['batch_size', 'root', 'im_shape']\n for r in required:\n assert r in params.keys(), 'Params must include {}'.format(r)","def test_need_params(self):\n\n acme = ACMEAccount(client=self.client)\n # missing acme_id, domains\n self.assertRaises(TypeError, acme.remove_domains)\n # missing domains\n self.assertRaises(TypeError, acme.remove_domains, 1234)\n # domains is not iterable\n self.assertRaises(TypeError, acme.remove_domains, 1234, None)","def test_getitem_required(self):\n self.assertEqual(self.tester['center_name'], 'ANL')\n self.assertTrue(self.tester['center_project_name'] is None)","def checkParameters(self):\n self.DEBUG(\"EDPluginControlStitchImagev1_0.checkParameters\")\n self.checkMandatoryParameters(self.getDataInput(), \"Data Input is None\")\n self.checkMandatoryParameters(self.getDataInput().getInputImages(), \"No input Images\")","def check_params(params):\n assert 'split' in params.keys(\n ), 'Params must include split (train, val, or test).'\n\n required = ['batch_size', 'im_shape']\n for r in required:\n assert r in params.keys(), 'Params must include {}'.format(r)","def _validate_setup(self, skip=None):\n\n if skip is None:\n skip = {}\n\n required_attributes = {\"optimizer\"}.difference(skip)\n\n for attr in required_attributes:\n if getattr(self, attr, None) is None:\n raise ValueError(f\"The {attr} cannot be None.\")\n\n if self.num_timesteps is not None and self.num_timesteps <= 0:\n raise ValueError(\n f\"The number of timesteps must be positive but is {self.num_timesteps}.\"\n )\n\n if self.ansatz.num_parameters == 0:\n raise QiskitError(\n \"The ansatz cannot have 0 parameters, otherwise it cannot be trained.\"\n )\n\n if len(self.initial_parameters) != self.ansatz.num_parameters:\n raise QiskitError(\n f\"Mismatching number of parameters in the ansatz ({self.ansatz.num_parameters}) \"\n f\"and the initial parameters ({len(self.initial_parameters)}).\"\n )","def require_arguments(required):\n\n def decorator(func):\n def wrapper(request):\n request_params = get_dict_from_request(request)\n for param in required:\n if param not in request_params:\n return APIMissingArgumentResponse(error_msg=param)\n return func(request)\n\n return wrapper\n\n return decorator","def check_params(params):\n if 'shuffle_seed' not in params:\n params['shuffle_seed'] = None\n\n if trainers_num > 1 and params['shuffle_seed'] is None:\n raise ShuffleSeedException()\n\n data_dir = params.get('data_dir', '')\n assert os.path.isdir(data_dir), \\\n \"{} doesn't exist, please check datadir path\".format(data_dir)\n\n if params['mode'] != 'test':\n file_list = params.get('file_list', '')\n assert os.path.isfile(file_list), \\\n \"{} doesn't exist, please check file list path\".format(file_list)","def test_raises_on_missing_needed_fields(self):\n test_name = \"impossible_creature_not_present\"\n self.form.constructor_fields = [*self.form.constructor_fields, test_name]\n message = \"The fields for email, username, and constructor must be set in fields. \"\n self.assertNotIn(test_name, self.form.base_fields)\n with self.assertRaisesMessage(ImproperlyConfigured, message):\n self.form.confirm_required_fields()","def test_defaults(self):\n fparam = FParameter(POSITIONAL_ONLY)\n assert fparam.kind == POSITIONAL_ONLY\n for k, v in FPARAM_DEFAULTS.items():\n assert getattr(fparam, k) == v","def test_importtleHasMandatoryParameterDatasourceName(self):\n try:\n call_command('importtle', stdout=StringIO())\n self.fail('No mandatory parameter')\n except CommandError:\n pass","def checkParameters(self):\n EDVerbose.DEBUG(\"EDPluginExecThumbnailv10.checkParameters\")\n self.checkMandatoryParameters(self.getDataInput(), \"Data Input is None\")","def test_blank_arguments():\n with pytest.raises(PermissionError):\n Arguments()"],"string":"[\n \"def __mandatory_is_not_given(self):\\n\\n strTestName = 'Mandatory parameter must be given (incorrect)'\\n RxCSObject = _RxCSobject()\\n\\n RxCSObject.paramAddMan('mandatory_parameter', 'Mandatory parameter')\\n\\n self.__parametersCheck_error(RxCSObject, ParameterMissingError, strTestName)\",\n \"def check_params(self):\\n raise NotImplementedError\",\n \"def _check_params(self):\\n pass\",\n \"def __mandatory_is_given(self):\\n\\n strTestName = 'Mandatory parameter is given (correct)'\\n RxCSObject = _RxCSobject()\\n\\n RxCSObject.paramAddMan('mandatory_parameter', 'Mandatory parameter')\\n RxCSObject.mandatory_parameter = 1\\n self.__parametersCheck_error(RxCSObject, 'correct', strTestName)\",\n \"def params_required(self) -> bool:\\n if self.no_params or self.params_optional:\\n return False\\n else:\\n return True\",\n \"def test_one_missing_one_provided(self):\\n from plone.api.exc import MissingParameterError\\n _func = required_parameters('arg1', 'arg2')(undecorated_func)\\n with self.assertRaises(MissingParameterError):\\n _func('hello')\",\n \"def test_missing_required_params():\\n from scraper import get_inspection_page\\n with pytest.raises(TypeError):\\n get_inspection_page(only_param='val')\",\n \"def _validate_params(self):\\n raise NotImplementedError('Must be implemented in subclasses.')\",\n \"def test_require():\\n assert is_required('test') is None\\n assert is_required(None)\",\n \"def test_required_parameters(self):\\n\\n consumer = LTIConsumerFactory(slug=\\\"consumer\\\")\\n passport = LTIPassportFactory(title=\\\"consumer1_passport1\\\", consumer=consumer)\\n\\n # Missing param : lis_person_sourcedid or ext_user_username or user_id\\n with self.assertRaises(PermissionDenied):\\n self._authenticate(\\n {\\n \\\"lti_message_type\\\": \\\"basic-lti-launch-request\\\",\\n \\\"lti_version\\\": \\\"LTI-1p0\\\",\\n \\\"resource_link_id\\\": \\\"aaa\\\",\\n \\\"context_id\\\": \\\"course-v1:fooschool+authbackend+0001\\\",\\n \\\"lis_person_contact_email_primary\\\": \\\"ashley@example.com\\\",\\n },\\n passport,\\n )\",\n \"def test_no_required_argument(self):\\n self._test( # pylint: disable=no-value-for-parameter\\n [\\\"\\\"], error_classes.MissingContent\\n )\",\n \"def checkNeededParams(self):\\n for clp,value in self.neededParamsNames.items():\\n if value[0] not in self.neededParams:\\n print >> sys.stderr, clp+\\\" is a mandatory parameter \\\"\\n self.printUsage()\\n sys.exit(1)\",\n \"def test_missing_required(self):\\n param_types = {\\n 'string': str,\\n 'unicode': unicode,\\n 'integer': int,\\n 'boolean': bool,\\n 'list': list,\\n 'json': 'json',\\n 'datetime': 'datetime',\\n 'date': 'date',\\n }\\n expected_types = {\\n 'string': '',\\n 'unicode': u'',\\n 'integer': 0,\\n 'boolean': False,\\n 'list': [],\\n 'json': u'',\\n 'datetime': None,\\n 'date': None,\\n }\\n handler = self.create_handler(r'')\\n self.assertEqual(handler.get_params(param_types, required=True),\\n expected_types)\",\n \"def test_single_arg_missing(self):\\n from plone.api.exc import MissingParameterError\\n _func = required_parameters('arg1')(undecorated_func)\\n with self.assertRaises(MissingParameterError):\\n _func()\",\n \"def test_overridable_parameter() -> None:\\n param_dict = ParamClass.get_overridable_parameters()\\n assert \\\"name\\\" in param_dict\\n assert \\\"flag\\\" in param_dict\\n assert \\\"not_flag\\\" in param_dict\\n assert \\\"seed\\\" in param_dict\\n assert \\\"number\\\" in param_dict\\n assert \\\"integers\\\" in param_dict\\n assert \\\"optional_int\\\" in param_dict\\n assert \\\"optional_float\\\" in param_dict\\n assert \\\"tuple1\\\" in param_dict\\n assert \\\"int_tuple\\\" in param_dict\\n assert \\\"enum\\\" in param_dict\\n assert \\\"readonly\\\" not in param_dict\\n assert \\\"_non_override\\\" not in param_dict\\n assert \\\"constant\\\" not in param_dict\",\n \"def test_checkParameters(self):\\n self.failUnlessEqual(self.nice.opts['long'], \\\"Alpha\\\")\\n self.failUnlessEqual(self.nice.opts['another'], \\\"Beta\\\")\\n self.failUnlessEqual(self.nice.opts['longonly'], \\\"noshort\\\")\\n self.failUnlessEqual(self.nice.opts['shortless'], \\\"Gamma\\\")\",\n \"def check_mandatory(params: Dict[str, str]):\\n for key, val in params.items():\\n if val is None or val == '':\\n raise ValueError(f'Missing mandatory param: `{key}`.')\",\n \"def _check_required_fields(self):\\n assert self.title\\n assert self.format\",\n \"def _check_required_params(self):\\n logging.debug('.. check if Experiment have all required parameters')\\n for n in self.REQUIRED_PARAMS:\\n if n not in self.params:\\n raise ValueError('missing \\\"%s\\\" among %r' % (n, self.params.keys()))\",\n \"def checkParameters(self):\\n EDVerbose.DEBUG(\\\"EDPluginExecGnomv0_1.checkParameters\\\")\\n self.checkMandatoryParameters(self.dataInput, \\\"Data Input is None\\\")\\n self.checkMandatoryParameters(self.dataInput.experimentalDataQ, \\\"Scattering vector values are missing\\\")\\n self.checkMandatoryParameters(self.dataInput.experimentalDataValues, \\\"Experimental intensity values are missing\\\")\",\n \"def test_validate_params(mocker, params):\\n validate_params(**params)\",\n \"def _CheckMissingRequiredParameters(event_type, required_params, given_params):\\n missing_parameters = (\\n set(required_params) -\\n set(given_params))\\n if missing_parameters:\\n raise exceptions.MissingRequiredEventTypeParameters(\\n missing_parameters, event_type)\",\n \"def precondition(self, *args, **kwargs):\\n pass\",\n \"def __optional_is_not_given(self):\\n\\n strTestName = 'Optional parameter is not given (incorrect)'\\n RxCSObject = _RxCSobject()\\n\\n RxCSObject.paramAddOpt('optional_parameter', 'Optional parameter')\\n\\n self.__parametersCheck_error(RxCSObject, 'correct', strTestName)\",\n \"def checkParameters(self):\\n self.DEBUG(\\\"EDPluginExecDatGnomv1_0.checkParameters\\\")\\n self.checkMandatoryParameters(self.dataInput, \\\"Data Input is None\\\")\\n self.checkMandatoryParameters(self.dataInput.inputCurve, \\\"No input Curve file provided\\\")\",\n \"def _validate_params(self):\\n assert set(self.required_params) - set(self._params) == set()\\n for par, val in self.optional_params.items():\\n if par not in self._params:\\n self._params[par] = val\",\n \"def checkParameters(self):\\n EDVerbose.DEBUG(\\\"EDPluginControlAbsorptionv0_1.checkParameters\\\")\\n self.checkMandatoryParameters(self.getDataInput(), \\\"Data Input is None\\\")\",\n \"def testPreconditions(self):\\n self.assertTrue(\\n __debug__, \\\"__debug__ must be True, otherwise asserts are ignored\\\"\\n )\",\n \"def test_need_params(self):\\n\\n acme = ACMEAccount(client=self.client)\\n # missing acme_id, name\\n self.assertRaises(TypeError, acme.create)\\n # missing name\\n self.assertRaises(TypeError, acme.create, 1234)\",\n \"def test_require_at_least_one_but_none_provided(self):\\n from plone.api.exc import MissingParameterError\\n _func = at_least_one_of('arg1', 'arg2')(undecorated_func)\\n with self.assertRaises(MissingParameterError):\\n _func()\",\n \"def test_non_existant_required_arg(self):\\n with self.assertRaises(ValueError):\\n _func = required_parameters('arg1', 'wibble', 'wobble')\\n _func(undecorated_func)\\n\\n with self.assertRaises(ValueError):\\n _func = mutually_exclusive_parameters(\\n 'arg1',\\n 'wibble',\\n 'wobble'\\n )\\n _func(undecorated_func)\",\n \"def test_no_param(self) -> None:\\n res = self.app.get('/model-parameters')\\n self.assertEqual(400, res.status_code)\",\n \"def __verify_required_parameters(self, parameters, required_parameters):\\n\\n\\t\\tfor parameter in required_parameters:\\n\\t\\t\\tif False == parameters.has_key(parameter):\\n\\t\\t\\t\\traise MissingParameterError(parameter)\\n\\n\\t\\treturn True\",\n \"def test_need_params(self):\\n\\n acme = ACMEAccount(client=self.client)\\n # missing name, acme_server, org_id\\n self.assertRaises(TypeError, acme.create)\\n # missing acme_server, org_id\\n self.assertRaises(TypeError, acme.create, \\\"name\\\")\\n # missing org_id\\n self.assertRaises(TypeError, acme.create, \\\"name\\\", \\\"acme_server\\\")\",\n \"def _required_parameters(self) -> RequiredParameters:\\n return RequiredParameters([])\",\n \"def _required_parameters(self) -> RequiredParameters:\\n return RequiredParameters([])\",\n \"def checkParameters(self):\\n self.DEBUG(\\\"EDPluginWaitMultiFile.checkParameters\\\")\\n self.checkMandatoryParameters(self.dataInput, \\\"Data Input is None\\\")\\n self.checkMandatoryParameters(self.dataInput.expectedFile, \\\"Data Input is None\\\")\\n self.checkMandatoryParameters(self.dataInput.expectedSize, \\\"Data Input is None\\\")\",\n \"def test_exactly_one_required(self):\\n\\n @mutually_exclusive_parameters('arg1', 'arg2')\\n @at_least_one_of('arg1', 'arg2')\\n def _func1_decorated(arg1=None, arg2=None, arg3=None):\\n return 'foo'\\n\\n from plone.api.exc import InvalidParameterError\\n from plone.api.exc import MissingParameterError\\n\\n # test it errors if you provide none\\n with self.assertRaises(MissingParameterError):\\n _func1_decorated()\\n\\n # test that it errors if you provide both\\n with self.assertRaises(InvalidParameterError):\\n _func1_decorated('ahoy', 'there')\\n\\n # everything ok\\n self.assertEqual(_func1_decorated('ahoy'), 'foo')\\n self.assertEqual(_func1_decorated('ahoy', arg3='there'), 'foo')\",\n \"def test_missing_optional(self):\\n param_types = {\\n 'string': str,\\n 'unicode': unicode,\\n 'integer': int,\\n 'boolean': bool,\\n 'list': list,\\n 'json': 'json',\\n 'datetime': 'datetime',\\n 'date': 'date',\\n }\\n expected_types = {}\\n handler = self.create_handler(r'')\\n self.assertEqual(handler.get_params(param_types), expected_types)\",\n \"def test_single_positional_arg_provided(self):\\n _func = required_parameters('arg1')(undecorated_func)\\n self.assertEqual(_func('hello'), 'foo')\",\n \"def is_mandatory_arg(self, arg_name): \\n return arg_name in self.get_mandatory_args()\",\n \"def testRequiredParameterList(self):\\n api = self.ApiFromDiscoveryDoc(self.__TEST_DISCOVERY_DOC)\\n\\n tests_executed = 0\\n\\n for resource in api.values['resources']:\\n if resource.values['wireName'] == 'activities':\\n for method in resource.values['methods']:\\n if method.required_parameters:\\n required_names = [p.values['wireName']\\n for p in method.required_parameters]\\n self.assertEquals(method.values['parameterOrder'], required_names)\\n tests_executed += 1\\n\\n if method.values['wireName'] == 'get':\\n optional_names = [p.values['wireName']\\n for p in method.optional_parameters]\\n self.assertEquals(['truncateAtom', 'max-comments', 'hl',\\n 'max-liked'],\\n optional_names)\\n tests_executed += 1\\n self.assertEquals(6, tests_executed)\",\n \"def check_required(self, required):\\n for k in required:\\n if self.__dict__.get(k) is None:\\n raise ValueError(\\n \\\"Required argument: '{0}' not provided\\\".format(k))\",\n \"def checkParameters(self):\\n self.DEBUG(\\\"EDPluginExecDamstartv0_3.checkParameters\\\")\\n self.checkMandatoryParameters(self.dataInput, \\\"Data Input is None\\\")\\n self.checkMandatoryParameters(self.dataInput.getInputPdbFile(), \\\"No template file specified\\\")\",\n \"def test_parameterless_calls(self):\\n for attr in dir(api):\\n func = getattr(api, attr)\\n if callable(func): \\n spec = inspect.getargspec(func)\\n if not spec.args and not spec.varargs and not spec.keywords and not spec.defaults:\\n func()\",\n \"def test_good_custom_params(self):\\n self.xmodule.custom_parameters = ['test_custom_params=test_custom_param_value']\\n self.xmodule.get_client_key_secret = Mock(return_value=('test_client_key', 'test_client_secret'))\\n self.xmodule.oauth_params = Mock()\\n self.xmodule.get_input_fields()\\n self.xmodule.oauth_params.assert_called_with(\\n {'custom_test_custom_params': 'test_custom_param_value'},\\n 'test_client_key', 'test_client_secret'\\n )\",\n \"def test_good_custom_params(self):\\r\\n self.xmodule.custom_parameters = ['test_custom_params=test_custom_param_value']\\r\\n self.xmodule.get_client_key_secret = Mock(return_value=('test_client_key', 'test_client_secret'))\\r\\n self.xmodule.oauth_params = Mock()\\r\\n self.xmodule.get_input_fields()\\r\\n self.xmodule.oauth_params.assert_called_with(\\r\\n {u'custom_test_custom_params': u'test_custom_param_value'},\\r\\n 'test_client_key', 'test_client_secret'\\r\\n )\",\n \"def mandatory_parameter_check(params):\\n required_params = ['user_text', 'latitude', 'longitude']\\n result = {\\n 'fault ': False,\\n 'cause ': \\\" \\\"\\n }\\n\\n cause = \\\"Mandatory parameter missing : \\\"\\n for req_param in required_params:\\n if req_param not in params:\\n cause = cause + \\\" \\\" + req_param\\n result['fault '] = True\\n result['cause'] = cause\\n\\n return result\",\n \"def test_data_in_param(self):\",\n \"def check_required(self):\\n for argument in self.arguments:\\n if argument.required:\\n raise ArgumentRequiredError(argument, self.tagname)\\n else:\\n self.kwargs[argument.name] = argument.get_default()\",\n \"def test_required_methods(self):\",\n \"def test_defaults(self):\\n varp = VarPositional()\\n fparam = self.assert_iterable_and_get_fparam(varp)\\n assert fparam.name == 'args'\\n assert fparam.type == empty\\n assert not fparam.converter\\n assert not fparam.validator\\n assert not fparam.metadata\",\n \"def setUp(self):\\n\\t\\tprint(\\\"\\\\n-------------------------------------\\\\nIn Test_ValidParams:\\\", self._testMethodName)\",\n \"def check_required_parameters(required_params_dict=dict()):\\r\\n print threading.currentThread().getName(), 'Starting'\\r\\n is_valid = True\\r\\n required_params_not_set = pythontools.validate_required_parameters(required_params_dict)\\r\\n if len(required_params_not_set) > 0:\\r\\n is_valid = False\\r\\n msg = \\\"Validate all required input parameters are set failed.\\\"\\r\\n for param in required_params_not_set:\\r\\n steplog.error(\\\"Required parameter %s is not set.\\\" % param)\\r\\n else:\\r\\n msg = \\\"Validate all required input parameters are set succeeded.\\\"\\r\\n return is_valid, msg\",\n \"def _check_required_parameters(\\n self,\\n required_parameters,\\n parameters\\n ):\\n self.log([u\\\"Checking required parameters '%s'\\\", required_parameters])\\n self.log(u\\\"Checking input parameters are not empty\\\")\\n if (parameters is None) or (len(parameters) == 0):\\n self._failed(u\\\"No parameters supplied.\\\")\\n return\\n self.log(u\\\"Checking no required parameter is missing\\\")\\n for req_param in required_parameters:\\n if req_param not in parameters:\\n self._failed(u\\\"Required parameter '%s' not set.\\\" % req_param)\\n return\\n self.log(u\\\"Checking all parameter values are allowed\\\")\\n self._check_allowed_values(parameters)\\n self.log(u\\\"Checking all implied parameters are present\\\")\\n self._check_implied_parameters(parameters)\\n return self.result\",\n \"def _assertParams(self) -> None:\\n params = parse_qs(self.http_client.request.call_args[1][\\\"data\\\"].decode(\\\"utf-8\\\"))\\n self.assertEqual(params[\\\"token\\\"], [\\\"mockAccessToken\\\"])\\n self.assertEqual(params[\\\"client_id\\\"], [CLIENT_ID])\\n self.assertEqual(params[\\\"client_secret\\\"], [CLIENT_SECRET])\",\n \"def test_minimum_args(self) -> None:\\n schema = JSONSchema()\\n self.assertIsInstance(schema.schema, str)\\n self.assertIsNone(schema.title)\\n self.assertIsNone(schema.description)\",\n \"def test_optional_arg(self):\\n obj = Base()\\n self.assertEqual(obj.id, 1)\",\n \"def checkParameters(self):\\n self.DEBUG(\\\"EDPluginExecDatcmpv2_0.checkParameters\\\")\\n self.checkMandatoryParameters(self.getDataInput(), \\\"Data Input is None\\\")\\n self.checkMandatoryParameters(self.getDataInput().inputCurve, \\\"No input 1D curves file provided\\\")\",\n \"def test_bad_custom_params(self):\\n bad_custom_params = ['test_custom_params: test_custom_param_value']\\n self.xmodule.custom_parameters = bad_custom_params\\n self.xmodule.get_client_key_secret = Mock(return_value=('test_client_key', 'test_client_secret'))\\n self.xmodule.oauth_params = Mock()\\n with pytest.raises(LTIError):\\n self.xmodule.get_input_fields()\",\n \"def test_missing_parameters(self):\\n # request\\n request_body = {\\n 'wwuid': self.student.wwuid,\\n 'enroll_key': self.labgroup.enroll_key\\n }\\n response = self.client.post(reverse(self.view_name), request_body)\\n # test response\\n self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST)\\n # test database\\n self.assertEqual(Student.objects.first().labgroup, None)\",\n \"def _check_whether_has_params(self, params) -> bool:\\n\\n if params:\\n return True\\n return False\",\n \"def test_default_parameters(self):\\n\\n # assert self.test_shape.rotation_angle == 360\\n assert self.test_shape.start_angle == 0\",\n \"def test_default_parameters(self):\\n\\n assert self.test_shape.rotation_angle == 360\\n assert self.test_shape.extrude_both\",\n \"def test_test_group_parameters(self):\\n pass\",\n \"def _is_parameters_ok(self):\\n if self.api_key is None:\\n raise MissingParameterException(\\\"OpenWeatherMap neuron needs an api_key\\\")\\n if self.location is None:\\n raise MissingParameterException(\\\"OpenWeatherMap neuron needs a location\\\")\\n\\n return True\",\n \"def _is_parameters_ok(self):\\n if self.api_key is None:\\n raise MissingParameterException(\\\"OpenWeatherMap neuron needs an api_key\\\")\\n if self.location is None:\\n raise MissingParameterException(\\\"OpenWeatherMap neuron needs a location\\\")\\n\\n return True\",\n \"def test_single_keyword_arg_provided(self):\\n _func = required_parameters('arg1')(undecorated_func)\\n self.assertEqual(_func(arg1='hello'), 'foo')\",\n \"def test_get_required_parameters_by_path_can_be_asserted(self) -> None:\\n\\n self.parameter_store.client.get_parameters_by_path.return_value = {\\n \\\"Parameters\\\": [\\n # Only one of the required parameters is returned.\\n {\\\"Name\\\": \\\"/path/sub/key\\\", \\\"Value\\\": \\\"foo_ssm_value_1\\\"},\\n {\\\"Name\\\": \\\"/path/sub/key2\\\", \\\"Value\\\": \\\"foo_ssm_value_2\\\"},\\n ]\\n }\\n\\n expected_msg = \\\"Missing parameters [baz, foo/bar] on path /path/sub/\\\"\\n with self.assertRaises(MissingParameterError, msg=expected_msg) as exc_info:\\n self.parameter_store.get_parameters_by_path(\\n \\\"/path/sub/\\\", required_parameters={\\\"baz\\\", \\\"foo/bar\\\", \\\"key\\\"}\\n )\\n assert exc_info.exception.parameter_path == \\\"/path/sub/\\\"\\n assert len(exc_info.exception.parameter_names) == 2\\n assert sorted(exc_info.exception.parameter_names) == sorted([\\\"baz\\\", \\\"foo/bar\\\"])\",\n \"def test_build__requires_name_param(self) -> None:\\n with pytest.raises(TypeError) as e:\\n Service() # type: ignore\\n assert \\\"required positional argument: 'name'\\\" in str(e.value)\",\n \"def validate_params(params, expected, opt_param=set()):\\n expected = set(expected)\\n opt_param = set(opt_param)\\n pkeys = set(params)\\n if expected - pkeys:\\n raise ValueError(\\\"Required keys {} not in supplied parameters\\\"\\n .format(\\\", \\\".join(expected - pkeys)))\\n defined_param = expected | opt_param\\n for param in params:\\n if param not in defined_param:\\n logger.warning(\\\"Unexpected parameter {} supplied\\\".format(param))\",\n \"def _validate(self):\\n for p in self.parameters:\\n #Check for missing required parameters:\\n if p.is_required and not(p.is_set):\\n raise ValueError(\\\"Parameter %s is not set.\\\" \\\\\\n % p.names[-1])\\n #Also repeat the parameter validation here, just in case?\",\n \"def test_missing_args(self, test, x, y, z=3, _private_arg=3): # noqa: D213, D407\",\n \"def test_bad_custom_params(self):\\r\\n bad_custom_params = ['test_custom_params: test_custom_param_value']\\r\\n self.xmodule.custom_parameters = bad_custom_params\\r\\n self.xmodule.get_client_key_secret = Mock(return_value=('test_client_key', 'test_client_secret'))\\r\\n self.xmodule.oauth_params = Mock()\\r\\n with self.assertRaises(LTIError):\\r\\n self.xmodule.get_input_fields()\",\n \"def validate_params(params, expected, opt_param=set()):\\n expected = set(expected)\\n opt_param = set(opt_param)\\n pkeys = set(params)\\n if expected - pkeys:\\n raise ValueError(\\\"Required keys {} not in supplied parameters\\\"\\n .format(\\\", \\\".join(expected - pkeys)))\\n defined_param = expected | opt_param\\n for param in params:\\n if param not in defined_param:\\n logging.warning(\\\"Unexpected parameter {} supplied\\\".format(param))\",\n \"def _check_param(in_params, req_param, opt_param=list()):\\n for param in req_param:\\n if param not in in_params:\\n raise ValueError('{} parameter is required'.format(param))\\n defined_param = set(req_param + opt_param)\\n for param in in_params:\\n if param not in defined_param:\\n print(\\n \\\"WARNING: received unexpected parameter {}\\\".format(param))\",\n \"def test_no_parameter(self):\\n\\n request = service.get_request('GET', {})\\n x = self.start_request_tests(request)\\n self.assertTrue(x.status_code >= 400)\\n self.assertTrue(u'taxon' in x.json()[u'message'], \\n 'no \\\"taxon\\\" in \\\"%s\\\"' % x.json()[u'message'])\",\n \"def test_params_passed(self, mock_field_validator, mock_error_builder):\\n\\n ChargeTypeValidator.validate(CHARGE_TYPE)\\n\\n calls = [\\n call(CHARGE_TYPE, 'charge-type', 'Charge type', mock_error_builder(),\\n summary_message='Choose one option', inline_message='Choose one option'),\\n call().is_required()\\n ]\\n mock_field_validator.assert_has_calls(calls)\",\n \"def test_creation_notallow_none():\\n with pytest.raises(ValueError) as __:\\n value = None\\n __ = param.Integer(value=value, allow_None=False)\",\n \"def test_create_user_missing_mandatory_field_values(self):\\n print(\\\"Missing First Name\\\")\\n kwargs = {\\\"first_name\\\":\\\"\\\", \\\"return_response_obj\\\": True, \\\"return_failure_response\\\": True}\\n response = self.test_create_user_endpoint(**kwargs)\\n\\n print(\\\"Verify Response body\\\")\\n expected_result = self.test_args[\\\"expected_result\\\"][\\\"missing_first_name\\\"]\\n actual_result = json.loads(response.text)[\\\"message\\\"]\\n assert actual_result == expected_result, \\\"Test Failed.. Expected: {0}.. Actual: {1}\\\".format(expected_result,\\n actual_result)\\n\\n print(\\\"Missing Last Name\\\")\\n kwargs = {\\\"last_name\\\": \\\"\\\", \\\"return_response_obj\\\": True, \\\"return_failure_response\\\": True}\\n response = self.test_create_user_endpoint(**kwargs)\\n\\n print(\\\"Verify Response body\\\")\\n expected_result = self.test_args[\\\"expected_result\\\"][\\\"missing_last_name\\\"]\\n actual_result = json.loads(response.text)[\\\"message\\\"]\\n assert actual_result == expected_result, \\\"Test Failed.. Expected: {0}.. Actual: {1}\\\".format(expected_result,\\n actual_result)\\n\\n print(\\\"Missing Password Name\\\")\\n kwargs = {\\\"password\\\": \\\"\\\", \\\"return_response_obj\\\": True, \\\"return_failure_response\\\": True}\\n response = self.test_create_user_endpoint(**kwargs)\\n\\n print(\\\"Verify Response body\\\")\\n expected_result = self.test_args[\\\"expected_result\\\"][\\\"missing_password\\\"]\\n actual_result = json.loads(response.text)[\\\"message\\\"]\\n assert actual_result == expected_result, \\\"Test Failed.. Expected: {0}.. Actual: {1}\\\".format(expected_result,\\n actual_result)\\n\\n print(\\\"Missing Email id\\\")\\n kwargs = {\\\"email\\\": \\\"\\\", \\\"return_response_obj\\\": True, \\\"return_failure_response\\\": True}\\n response = self.test_create_user_endpoint(**kwargs)\\n\\n print(\\\"Verify Response body\\\")\\n expected_result = self.test_args[\\\"expected_result\\\"][\\\"missing_email\\\"]\\n actual_result = json.loads(response.text)[\\\"message\\\"]\\n assert actual_result == expected_result, \\\"Test Failed.. Expected: {0}.. Actual: {1}\\\".format(expected_result,\\n actual_result)\",\n \"def check_params(params):\\n\\n required = ['gtsrb_train_root', 'gtsrb_test_root', 'batch_size']\\n for r in required:\\n assert r in params.keys(), 'Params must include {}'.format(r)\",\n \"def _check_parameters(self, ep, params):\\n\\n any_group_satisfied = False\\n for group in ep.REQUIRED:\\n if all(required_param in params for required_param in group):\\n any_group_satisfied = True\\n\\n if not any_group_satisfied:\\n raise ValueError(f\\\"Got parameters {params}, expected one of {ep.REQUIRED}\\\")\\n\\n for key in params:\\n if key not in ep.POSSIBLE:\\n raise ValueError(f\\\"Got {key}, expected one of {ep.POSSIBLE}\\\")\",\n \"def test_get_params():\\n model = BERTopic()\\n params = model.get_params()\\n assert not params[\\\"embedding_model\\\"]\\n assert not params[\\\"low_memory\\\"]\\n assert not params[\\\"nr_topics\\\"]\\n assert params[\\\"n_gram_range\\\"] == (1, 1)\\n assert params[\\\"min_topic_size\\\"] == 10\\n assert params[\\\"language\\\"] == 'english'\",\n \"def check_params(params):\\n\\n required = ['initlandmarks']\\n for r in required:\\n assert r in params.keys(), 'Params must include {}'.format(r)\",\n \"def test_parameters(self):\\n self.assert_initialize_driver()\\n #reply = self.driver_client.cmd_dvr('get_resource', Parameter.ALL)\\n #self.assert_driver_parameters(reply, verify_sample_interval=True)\",\n \"def test_validParameters(self):\\n # stupid/simple inputs\\n h = Helix(\\\"thing\\\", \\\"Cu\\\", 0, 0, 1, 1, 1)\\n self.assertEqual(h.getDimension(\\\"axialPitch\\\"), 1)\\n\\n # standard case / inputs ordered well\\n h = Helix(\\n \\\"what\\\",\\n \\\"Cu\\\",\\n Tinput=25.0,\\n Thot=425.0,\\n id=0.1,\\n od=0.35,\\n mult=1.0,\\n axialPitch=1.123,\\n helixDiameter=1.5,\\n )\\n self.assertTrue(1.123 < h.getDimension(\\\"axialPitch\\\") < 1.15)\\n\\n # inputs ordered crazy\\n h = Helix(\\n material=\\\"Cu\\\",\\n id=0.1,\\n mult=1.0,\\n Tinput=25.0,\\n Thot=425.0,\\n axialPitch=1.123,\\n name=\\\"stuff\\\",\\n od=0.35,\\n helixDiameter=1.5,\\n )\\n self.assertTrue(1.123 < h.getDimension(\\\"axialPitch\\\") < 1.15)\\n\\n # missing helixDiameter input\\n with self.assertRaises(TypeError):\\n h = Helix(\\n name=\\\"helix\\\",\\n material=\\\"Cu\\\",\\n Tinput=25.0,\\n Thot=425.0,\\n id=0.1,\\n od=0.35,\\n mult=1.0,\\n axialPitch=1.123,\\n )\",\n \"def __validate__(self):\\n if self.train:\\n assert self.random is not None\",\n \"def test_need_params(self):\\n\\n acme = ACMEAccount(client=self.client)\\n # missing acme_id, domains\\n self.assertRaises(TypeError, acme.add_domains)\\n # missing domains\\n self.assertRaises(TypeError, acme.add_domains, 1234)\\n # domains is not iterable\\n self.assertRaises(TypeError, acme.add_domains, 1234, None)\",\n \"def check_params(params):\\n assert 'split' in params.keys(\\n ), 'Params must include split (train, val, or test).'\\n\\n required = ['batch_size', 'root', 'im_shape']\\n for r in required:\\n assert r in params.keys(), 'Params must include {}'.format(r)\",\n \"def test_need_params(self):\\n\\n acme = ACMEAccount(client=self.client)\\n # missing acme_id, domains\\n self.assertRaises(TypeError, acme.remove_domains)\\n # missing domains\\n self.assertRaises(TypeError, acme.remove_domains, 1234)\\n # domains is not iterable\\n self.assertRaises(TypeError, acme.remove_domains, 1234, None)\",\n \"def test_getitem_required(self):\\n self.assertEqual(self.tester['center_name'], 'ANL')\\n self.assertTrue(self.tester['center_project_name'] is None)\",\n \"def checkParameters(self):\\n self.DEBUG(\\\"EDPluginControlStitchImagev1_0.checkParameters\\\")\\n self.checkMandatoryParameters(self.getDataInput(), \\\"Data Input is None\\\")\\n self.checkMandatoryParameters(self.getDataInput().getInputImages(), \\\"No input Images\\\")\",\n \"def check_params(params):\\n assert 'split' in params.keys(\\n ), 'Params must include split (train, val, or test).'\\n\\n required = ['batch_size', 'im_shape']\\n for r in required:\\n assert r in params.keys(), 'Params must include {}'.format(r)\",\n \"def _validate_setup(self, skip=None):\\n\\n if skip is None:\\n skip = {}\\n\\n required_attributes = {\\\"optimizer\\\"}.difference(skip)\\n\\n for attr in required_attributes:\\n if getattr(self, attr, None) is None:\\n raise ValueError(f\\\"The {attr} cannot be None.\\\")\\n\\n if self.num_timesteps is not None and self.num_timesteps <= 0:\\n raise ValueError(\\n f\\\"The number of timesteps must be positive but is {self.num_timesteps}.\\\"\\n )\\n\\n if self.ansatz.num_parameters == 0:\\n raise QiskitError(\\n \\\"The ansatz cannot have 0 parameters, otherwise it cannot be trained.\\\"\\n )\\n\\n if len(self.initial_parameters) != self.ansatz.num_parameters:\\n raise QiskitError(\\n f\\\"Mismatching number of parameters in the ansatz ({self.ansatz.num_parameters}) \\\"\\n f\\\"and the initial parameters ({len(self.initial_parameters)}).\\\"\\n )\",\n \"def require_arguments(required):\\n\\n def decorator(func):\\n def wrapper(request):\\n request_params = get_dict_from_request(request)\\n for param in required:\\n if param not in request_params:\\n return APIMissingArgumentResponse(error_msg=param)\\n return func(request)\\n\\n return wrapper\\n\\n return decorator\",\n \"def check_params(params):\\n if 'shuffle_seed' not in params:\\n params['shuffle_seed'] = None\\n\\n if trainers_num > 1 and params['shuffle_seed'] is None:\\n raise ShuffleSeedException()\\n\\n data_dir = params.get('data_dir', '')\\n assert os.path.isdir(data_dir), \\\\\\n \\\"{} doesn't exist, please check datadir path\\\".format(data_dir)\\n\\n if params['mode'] != 'test':\\n file_list = params.get('file_list', '')\\n assert os.path.isfile(file_list), \\\\\\n \\\"{} doesn't exist, please check file list path\\\".format(file_list)\",\n \"def test_raises_on_missing_needed_fields(self):\\n test_name = \\\"impossible_creature_not_present\\\"\\n self.form.constructor_fields = [*self.form.constructor_fields, test_name]\\n message = \\\"The fields for email, username, and constructor must be set in fields. \\\"\\n self.assertNotIn(test_name, self.form.base_fields)\\n with self.assertRaisesMessage(ImproperlyConfigured, message):\\n self.form.confirm_required_fields()\",\n \"def test_defaults(self):\\n fparam = FParameter(POSITIONAL_ONLY)\\n assert fparam.kind == POSITIONAL_ONLY\\n for k, v in FPARAM_DEFAULTS.items():\\n assert getattr(fparam, k) == v\",\n \"def test_importtleHasMandatoryParameterDatasourceName(self):\\n try:\\n call_command('importtle', stdout=StringIO())\\n self.fail('No mandatory parameter')\\n except CommandError:\\n pass\",\n \"def checkParameters(self):\\n EDVerbose.DEBUG(\\\"EDPluginExecThumbnailv10.checkParameters\\\")\\n self.checkMandatoryParameters(self.getDataInput(), \\\"Data Input is None\\\")\",\n \"def test_blank_arguments():\\n with pytest.raises(PermissionError):\\n Arguments()\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.7554485","0.74413884","0.74272037","0.7360469","0.7131678","0.71256137","0.7105869","0.7097087","0.70953786","0.70849353","0.7079268","0.70749784","0.7000165","0.69736993","0.69327056","0.6923329","0.6904286","0.68939066","0.68729466","0.6848687","0.6828776","0.6798285","0.6764764","0.6738956","0.6720427","0.67008674","0.6686095","0.6675087","0.66687214","0.6663232","0.6662754","0.6649864","0.66461045","0.6622584","0.6616501","0.6616501","0.66129845","0.6605112","0.6600716","0.6595745","0.656148","0.655277","0.65491587","0.654664","0.6513288","0.6496126","0.64801544","0.6456231","0.6433472","0.6430435","0.6423734","0.6421453","0.6417501","0.6412007","0.64112747","0.6409278","0.6406205","0.6399682","0.6384278","0.63671374","0.63647556","0.63612163","0.6351814","0.6347888","0.6345785","0.6343107","0.6343107","0.6337315","0.63287514","0.6328271","0.6327847","0.63260597","0.63202566","0.63109803","0.62987876","0.62948084","0.6278474","0.626814","0.62631065","0.62549186","0.6254278","0.6250759","0.6248932","0.62404","0.62340117","0.6231439","0.62244546","0.6224437","0.6216311","0.62160033","0.62142","0.6213007","0.62110746","0.6209992","0.62092435","0.6190505","0.61885643","0.61864215","0.61748177","0.6171031","0.61686"],"string":"[\n \"0.7554485\",\n \"0.74413884\",\n \"0.74272037\",\n \"0.7360469\",\n \"0.7131678\",\n \"0.71256137\",\n \"0.7105869\",\n \"0.7097087\",\n \"0.70953786\",\n \"0.70849353\",\n \"0.7079268\",\n \"0.70749784\",\n \"0.7000165\",\n \"0.69736993\",\n \"0.69327056\",\n \"0.6923329\",\n \"0.6904286\",\n \"0.68939066\",\n \"0.68729466\",\n \"0.6848687\",\n \"0.6828776\",\n \"0.6798285\",\n \"0.6764764\",\n \"0.6738956\",\n \"0.6720427\",\n \"0.67008674\",\n \"0.6686095\",\n \"0.6675087\",\n \"0.66687214\",\n \"0.6663232\",\n \"0.6662754\",\n \"0.6649864\",\n \"0.66461045\",\n \"0.6622584\",\n \"0.6616501\",\n \"0.6616501\",\n \"0.66129845\",\n \"0.6605112\",\n \"0.6600716\",\n \"0.6595745\",\n \"0.656148\",\n \"0.655277\",\n \"0.65491587\",\n \"0.654664\",\n \"0.6513288\",\n \"0.6496126\",\n \"0.64801544\",\n \"0.6456231\",\n \"0.6433472\",\n \"0.6430435\",\n \"0.6423734\",\n \"0.6421453\",\n \"0.6417501\",\n \"0.6412007\",\n \"0.64112747\",\n \"0.6409278\",\n \"0.6406205\",\n \"0.6399682\",\n \"0.6384278\",\n \"0.63671374\",\n \"0.63647556\",\n \"0.63612163\",\n \"0.6351814\",\n \"0.6347888\",\n \"0.6345785\",\n \"0.6343107\",\n \"0.6343107\",\n \"0.6337315\",\n \"0.63287514\",\n \"0.6328271\",\n \"0.6327847\",\n \"0.63260597\",\n \"0.63202566\",\n \"0.63109803\",\n \"0.62987876\",\n \"0.62948084\",\n \"0.6278474\",\n \"0.626814\",\n \"0.62631065\",\n \"0.62549186\",\n \"0.6254278\",\n \"0.6250759\",\n \"0.6248932\",\n \"0.62404\",\n \"0.62340117\",\n \"0.6231439\",\n \"0.62244546\",\n \"0.6224437\",\n \"0.6216311\",\n \"0.62160033\",\n \"0.62142\",\n \"0.6213007\",\n \"0.62110746\",\n \"0.6209992\",\n \"0.62092435\",\n \"0.6190505\",\n \"0.61885643\",\n \"0.61864215\",\n \"0.61748177\",\n \"0.6171031\",\n \"0.61686\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":20494,"cells":{"query":{"kind":"string","value":"Testing to provide mandatory and all optional parameters."},"document":{"kind":"string","value":"def test_individual_valid(self, kwargs):\n # defaults\n final_kwargs = {'script': 'echo \"hello world\"', 'title': '', 'debug': False, 'strict': False,\n 'dry_run': False, 'item': None, 'env': {}, 'model': {}, 'variables': {}}\n final_kwargs.update(kwargs)\n\n config = ShellConfig(**final_kwargs)\n for key, value in final_kwargs.items():\n assert_that(key in config.__dict__, equal_to(True))\n assert_that(config.__dict__[key], equal_to(value))"},"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_checkParameters(self):\n self.failUnlessEqual(self.nice.opts['long'], \"Alpha\")\n self.failUnlessEqual(self.nice.opts['another'], \"Beta\")\n self.failUnlessEqual(self.nice.opts['longonly'], \"noshort\")\n self.failUnlessEqual(self.nice.opts['shortless'], \"Gamma\")","def check_params(self):\n raise NotImplementedError","def _check_params(self):\n pass","def testRequiredParameterList(self):\n api = self.ApiFromDiscoveryDoc(self.__TEST_DISCOVERY_DOC)\n\n tests_executed = 0\n\n for resource in api.values['resources']:\n if resource.values['wireName'] == 'activities':\n for method in resource.values['methods']:\n if method.required_parameters:\n required_names = [p.values['wireName']\n for p in method.required_parameters]\n self.assertEquals(method.values['parameterOrder'], required_names)\n tests_executed += 1\n\n if method.values['wireName'] == 'get':\n optional_names = [p.values['wireName']\n for p in method.optional_parameters]\n self.assertEquals(['truncateAtom', 'max-comments', 'hl',\n 'max-liked'],\n optional_names)\n tests_executed += 1\n self.assertEquals(6, tests_executed)","def test_overridable_parameter() -> None:\n param_dict = ParamClass.get_overridable_parameters()\n assert \"name\" in param_dict\n assert \"flag\" in param_dict\n assert \"not_flag\" in param_dict\n assert \"seed\" in param_dict\n assert \"number\" in param_dict\n assert \"integers\" in param_dict\n assert \"optional_int\" in param_dict\n assert \"optional_float\" in param_dict\n assert \"tuple1\" in param_dict\n assert \"int_tuple\" in param_dict\n assert \"enum\" in param_dict\n assert \"readonly\" not in param_dict\n assert \"_non_override\" not in param_dict\n assert \"constant\" not in param_dict","def test_missing_required(self):\n param_types = {\n 'string': str,\n 'unicode': unicode,\n 'integer': int,\n 'boolean': bool,\n 'list': list,\n 'json': 'json',\n 'datetime': 'datetime',\n 'date': 'date',\n }\n expected_types = {\n 'string': '',\n 'unicode': u'',\n 'integer': 0,\n 'boolean': False,\n 'list': [],\n 'json': u'',\n 'datetime': None,\n 'date': None,\n }\n handler = self.create_handler(r'')\n self.assertEqual(handler.get_params(param_types, required=True),\n expected_types)","def test_missing_optional(self):\n param_types = {\n 'string': str,\n 'unicode': unicode,\n 'integer': int,\n 'boolean': bool,\n 'list': list,\n 'json': 'json',\n 'datetime': 'datetime',\n 'date': 'date',\n }\n expected_types = {}\n handler = self.create_handler(r'')\n self.assertEqual(handler.get_params(param_types), expected_types)","def test_validate_params(mocker, params):\n validate_params(**params)","def __mandatory_is_given(self):\n\n strTestName = 'Mandatory parameter is given (correct)'\n RxCSObject = _RxCSobject()\n\n RxCSObject.paramAddMan('mandatory_parameter', 'Mandatory parameter')\n RxCSObject.mandatory_parameter = 1\n self.__parametersCheck_error(RxCSObject, 'correct', strTestName)","def checkParameters(self):\n self.DEBUG(\"EDPluginWaitMultiFile.checkParameters\")\n self.checkMandatoryParameters(self.dataInput, \"Data Input is None\")\n self.checkMandatoryParameters(self.dataInput.expectedFile, \"Data Input is None\")\n self.checkMandatoryParameters(self.dataInput.expectedSize, \"Data Input is None\")","def test_required_parameters(self):\n\n consumer = LTIConsumerFactory(slug=\"consumer\")\n passport = LTIPassportFactory(title=\"consumer1_passport1\", consumer=consumer)\n\n # Missing param : lis_person_sourcedid or ext_user_username or user_id\n with self.assertRaises(PermissionDenied):\n self._authenticate(\n {\n \"lti_message_type\": \"basic-lti-launch-request\",\n \"lti_version\": \"LTI-1p0\",\n \"resource_link_id\": \"aaa\",\n \"context_id\": \"course-v1:fooschool+authbackend+0001\",\n \"lis_person_contact_email_primary\": \"ashley@example.com\",\n },\n passport,\n )","def checkNeededParams(self):\n for clp,value in self.neededParamsNames.items():\n if value[0] not in self.neededParams:\n print >> sys.stderr, clp+\" is a mandatory parameter \"\n self.printUsage()\n sys.exit(1)","def test_require():\n assert is_required('test') is None\n assert is_required(None)","def params_required(self) -> bool:\n if self.no_params or self.params_optional:\n return False\n else:\n return True","def test_need_params(self):\n\n acme = ACMEAccount(client=self.client)\n # missing name, acme_server, org_id\n self.assertRaises(TypeError, acme.create)\n # missing acme_server, org_id\n self.assertRaises(TypeError, acme.create, \"name\")\n # missing org_id\n self.assertRaises(TypeError, acme.create, \"name\", \"acme_server\")","def test_params_passed(self, mock_field_validator, mock_error_builder):\n\n ChargeTypeValidator.validate(CHARGE_TYPE)\n\n calls = [\n call(CHARGE_TYPE, 'charge-type', 'Charge type', mock_error_builder(),\n summary_message='Choose one option', inline_message='Choose one option'),\n call().is_required()\n ]\n mock_field_validator.assert_has_calls(calls)","def checkParameters(self):\n EDVerbose.DEBUG(\"EDPluginExecGnomv0_1.checkParameters\")\n self.checkMandatoryParameters(self.dataInput, \"Data Input is None\")\n self.checkMandatoryParameters(self.dataInput.experimentalDataQ, \"Scattering vector values are missing\")\n self.checkMandatoryParameters(self.dataInput.experimentalDataValues, \"Experimental intensity values are missing\")","def _check_required_params(self):\n logging.debug('.. check if Experiment have all required parameters')\n for n in self.REQUIRED_PARAMS:\n if n not in self.params:\n raise ValueError('missing \"%s\" among %r' % (n, self.params.keys()))","def __mandatory_is_not_given(self):\n\n strTestName = 'Mandatory parameter must be given (incorrect)'\n RxCSObject = _RxCSobject()\n\n RxCSObject.paramAddMan('mandatory_parameter', 'Mandatory parameter')\n\n self.__parametersCheck_error(RxCSObject, ParameterMissingError, strTestName)","def _validate_params(self):\n raise NotImplementedError('Must be implemented in subclasses.')","def _validate_params(self):\n assert set(self.required_params) - set(self._params) == set()\n for par, val in self.optional_params.items():\n if par not in self._params:\n self._params[par] = val","def check_required_parameters(required_params_dict=dict()):\r\n print threading.currentThread().getName(), 'Starting'\r\n is_valid = True\r\n required_params_not_set = pythontools.validate_required_parameters(required_params_dict)\r\n if len(required_params_not_set) > 0:\r\n is_valid = False\r\n msg = \"Validate all required input parameters are set failed.\"\r\n for param in required_params_not_set:\r\n steplog.error(\"Required parameter %s is not set.\" % param)\r\n else:\r\n msg = \"Validate all required input parameters are set succeeded.\"\r\n return is_valid, msg","def test_required_methods(self):","def test_need_params(self):\n\n acme = ACMEAccount(client=self.client)\n # missing acme_id, name\n self.assertRaises(TypeError, acme.create)\n # missing name\n self.assertRaises(TypeError, acme.create, 1234)","def __optional_is_not_given(self):\n\n strTestName = 'Optional parameter is not given (incorrect)'\n RxCSObject = _RxCSobject()\n\n RxCSObject.paramAddOpt('optional_parameter', 'Optional parameter')\n\n self.__parametersCheck_error(RxCSObject, 'correct', strTestName)","def test_all_params(self):\n persistence_helper = PersistenceHelper(use_riak=True, is_sync=True)\n self.assertEqual(persistence_helper.use_riak, True)\n self.assertEqual(persistence_helper.is_sync, True)","def _assertParams(self) -> None:\n params = parse_qs(self.http_client.request.call_args[1][\"data\"].decode(\"utf-8\"))\n self.assertEqual(params[\"token\"], [\"mockAccessToken\"])\n self.assertEqual(params[\"client_id\"], [CLIENT_ID])\n self.assertEqual(params[\"client_secret\"], [CLIENT_SECRET])","def _check_required_fields(self):\n assert self.title\n assert self.format","def test_get_params(self):\n\n credentials = Mock(base_url=\"\")\n manager = Manager(\"reports\", credentials)\n\n # test no parameters or headers sent by default\n uri, params, method, body, headers, singleobject = manager._get(\"ProfitAndLoss\")\n self.assertEqual(params, {}, \"test params not sent by default\")\n\n # test params can be provided\n passed_params = {\n \"fromDate\": \"2015-01-01\",\n \"toDate\": \"2015-01-15\",\n }\n uri, params, method, body, headers, singleobject = manager._get(\n \"ProfitAndLoss\", params=passed_params\n )\n self.assertEqual(params, passed_params, \"test params can be set\")\n\n # test params respect, but can override, existing configuration\n manager = Manager(\"reports\", credentials, unit_price_4dps=True)\n uri, params, method, body, headers, singleobject = manager._get(\n \"ProfitAndLoss\", params=passed_params\n )\n self.assertEqual(params, {\n \"fromDate\": \"2015-01-01\",\n \"toDate\": \"2015-01-15\",\n \"unitdp\": 4,\n }, \"test params respects existing values\")","def test_defaults(self):\n varp = VarPositional()\n fparam = self.assert_iterable_and_get_fparam(varp)\n assert fparam.name == 'args'\n assert fparam.type == empty\n assert not fparam.converter\n assert not fparam.validator\n assert not fparam.metadata","def checkParameters(self):\n self.DEBUG(\"EDPluginExecDatGnomv1_0.checkParameters\")\n self.checkMandatoryParameters(self.dataInput, \"Data Input is None\")\n self.checkMandatoryParameters(self.dataInput.inputCurve, \"No input Curve file provided\")","def test_class_callparams(self):\n\n @Configurable(\n conf=[\n Parameter('test0', value=True),\n Parameter('test1', value=False)\n ]\n )\n class Test(object):\n\n def __init__(self, test0=None):\n\n super(Test, self).__init__()\n\n self.test0 = test0\n\n test = Test()\n\n self.assertTrue(test.test0)\n self.assertFalse(test.test1)","def test_parameters(self):\n self.assert_initialize_driver()\n #reply = self.driver_client.cmd_dvr('get_resource', Parameter.ALL)\n #self.assert_driver_parameters(reply, verify_sample_interval=True)","def test_need_params(self):\n\n acme = ACMEAccount(client=self.client)\n # missing acme_id, domains\n self.assertRaises(TypeError, acme.add_domains)\n # missing domains\n self.assertRaises(TypeError, acme.add_domains, 1234)\n # domains is not iterable\n self.assertRaises(TypeError, acme.add_domains, 1234, None)","def test_one_missing_one_provided(self):\n from plone.api.exc import MissingParameterError\n _func = required_parameters('arg1', 'arg2')(undecorated_func)\n with self.assertRaises(MissingParameterError):\n _func('hello')","def test_request_params():\n ctxt = SqContextMock('key', 'http', 'rest-ip', 80)\n sqobj = SqObjMock(ctxt, 'default', 'default', 'default',\n 'default', 'default', 'default', 'default')\n engine = SqRestEngine(sqobj)\n # paramters which will override engine internal paramters\n sqobj_override_params = ['hostname', 'namespace', 'view']\n # other parameters\n other_params = ['other_param_0', 'other_param_1']\n\n testing_params = sqobj_override_params + other_params\n # try all combinations of params\n for n_sq_params in range(1, len(testing_params)+1):\n for sq_params in combinations(testing_params, n_sq_params):\n req_params = {p: 'override' for p in sq_params}\n validate_args(engine, req_params)","def test_setup(self):\n self.assertIsNotNone(getattr(self, 'original_good_practice_attrs', None))\n self.assertIsNotNone(getattr(self, 'original_get_overrides', None))\n self.assertIsNotNone(getattr(self, 'original_get_alt_field_info', None))\n self.assertIsNone(getattr(self.form, 'is_prepared', None))\n self.assertNotIn('good_practice_attrs', self.form.has_call)\n self.assertNotIn('get_overrides', self.form.has_call)\n self.assertNotIn('get_alt_field_info', self.form.has_call)\n good_practice = self.form.good_practice_attrs()\n if self.good_practice == 'empty':\n self.assertEqual({}, good_practice)\n overrides = self.form.get_overrides()\n if self.overrides_empty_or_skip == 'empty':\n self.assertEqual({}, overrides)\n elif self.overrides_empty_or_skip == 'skip':\n self.assertEqual(self.no_resize_override(), overrides)\n if self.alt_info == 'empty':\n self.assertEqual({}, self.form.get_alt_field_info())\n self.assertIn('get_alt_field_info', self.form.has_call)\n self.assertEqual(self.form.get_alt_field_info.__name__, 'empty_get_alt_field_info')\n self.assertIn('good_practice_attrs', self.form.has_call)\n self.assertIn('get_overrides', self.form.has_call)\n self.form.has_call = []\n self.assertEqual(self.form.good_practice_attrs.__name__, 'empty_good_practice_attrs')\n if self.overrides_empty_or_skip == 'empty':\n self.assertEqual(self.form.get_overrides.__name__, 'empty_get_overrides')\n self.assertEqual(self.form.get_overrides.__name__, 'skip_get_overrides')\n request_type = 'POST' if self.get_initial_data() else 'GET'\n self.assertEqual(request_type, self.request.method)","def test_exactly_one_required(self):\n\n @mutually_exclusive_parameters('arg1', 'arg2')\n @at_least_one_of('arg1', 'arg2')\n def _func1_decorated(arg1=None, arg2=None, arg3=None):\n return 'foo'\n\n from plone.api.exc import InvalidParameterError\n from plone.api.exc import MissingParameterError\n\n # test it errors if you provide none\n with self.assertRaises(MissingParameterError):\n _func1_decorated()\n\n # test that it errors if you provide both\n with self.assertRaises(InvalidParameterError):\n _func1_decorated('ahoy', 'there')\n\n # everything ok\n self.assertEqual(_func1_decorated('ahoy'), 'foo')\n self.assertEqual(_func1_decorated('ahoy', arg3='there'), 'foo')","def test_good_custom_params(self):\n self.xmodule.custom_parameters = ['test_custom_params=test_custom_param_value']\n self.xmodule.get_client_key_secret = Mock(return_value=('test_client_key', 'test_client_secret'))\n self.xmodule.oauth_params = Mock()\n self.xmodule.get_input_fields()\n self.xmodule.oauth_params.assert_called_with(\n {'custom_test_custom_params': 'test_custom_param_value'},\n 'test_client_key', 'test_client_secret'\n )","def _check_required_parameters(\n self,\n required_parameters,\n parameters\n ):\n self.log([u\"Checking required parameters '%s'\", required_parameters])\n self.log(u\"Checking input parameters are not empty\")\n if (parameters is None) or (len(parameters) == 0):\n self._failed(u\"No parameters supplied.\")\n return\n self.log(u\"Checking no required parameter is missing\")\n for req_param in required_parameters:\n if req_param not in parameters:\n self._failed(u\"Required parameter '%s' not set.\" % req_param)\n return\n self.log(u\"Checking all parameter values are allowed\")\n self._check_allowed_values(parameters)\n self.log(u\"Checking all implied parameters are present\")\n self._check_implied_parameters(parameters)\n return self.result","def test_optional_arg(self):\n obj = Base()\n self.assertEqual(obj.id, 1)","def _check_parameters(self, ep, params):\n\n any_group_satisfied = False\n for group in ep.REQUIRED:\n if all(required_param in params for required_param in group):\n any_group_satisfied = True\n\n if not any_group_satisfied:\n raise ValueError(f\"Got parameters {params}, expected one of {ep.REQUIRED}\")\n\n for key in params:\n if key not in ep.POSSIBLE:\n raise ValueError(f\"Got {key}, expected one of {ep.POSSIBLE}\")","def test_good_custom_params(self):\r\n self.xmodule.custom_parameters = ['test_custom_params=test_custom_param_value']\r\n self.xmodule.get_client_key_secret = Mock(return_value=('test_client_key', 'test_client_secret'))\r\n self.xmodule.oauth_params = Mock()\r\n self.xmodule.get_input_fields()\r\n self.xmodule.oauth_params.assert_called_with(\r\n {u'custom_test_custom_params': u'test_custom_param_value'},\r\n 'test_client_key', 'test_client_secret'\r\n )","def test_create_user_missing_mandatory_field_values(self):\n print(\"Missing First Name\")\n kwargs = {\"first_name\":\"\", \"return_response_obj\": True, \"return_failure_response\": True}\n response = self.test_create_user_endpoint(**kwargs)\n\n print(\"Verify Response body\")\n expected_result = self.test_args[\"expected_result\"][\"missing_first_name\"]\n actual_result = json.loads(response.text)[\"message\"]\n assert actual_result == expected_result, \"Test Failed.. Expected: {0}.. Actual: {1}\".format(expected_result,\n actual_result)\n\n print(\"Missing Last Name\")\n kwargs = {\"last_name\": \"\", \"return_response_obj\": True, \"return_failure_response\": True}\n response = self.test_create_user_endpoint(**kwargs)\n\n print(\"Verify Response body\")\n expected_result = self.test_args[\"expected_result\"][\"missing_last_name\"]\n actual_result = json.loads(response.text)[\"message\"]\n assert actual_result == expected_result, \"Test Failed.. Expected: {0}.. Actual: {1}\".format(expected_result,\n actual_result)\n\n print(\"Missing Password Name\")\n kwargs = {\"password\": \"\", \"return_response_obj\": True, \"return_failure_response\": True}\n response = self.test_create_user_endpoint(**kwargs)\n\n print(\"Verify Response body\")\n expected_result = self.test_args[\"expected_result\"][\"missing_password\"]\n actual_result = json.loads(response.text)[\"message\"]\n assert actual_result == expected_result, \"Test Failed.. Expected: {0}.. Actual: {1}\".format(expected_result,\n actual_result)\n\n print(\"Missing Email id\")\n kwargs = {\"email\": \"\", \"return_response_obj\": True, \"return_failure_response\": True}\n response = self.test_create_user_endpoint(**kwargs)\n\n print(\"Verify Response body\")\n expected_result = self.test_args[\"expected_result\"][\"missing_email\"]\n actual_result = json.loads(response.text)[\"message\"]\n assert actual_result == expected_result, \"Test Failed.. Expected: {0}.. Actual: {1}\".format(expected_result,\n actual_result)","def test_data_in_param(self):","def test_missing_required_params():\n from scraper import get_inspection_page\n with pytest.raises(TypeError):\n get_inspection_page(only_param='val')","def test_test_group_parameters(self):\n pass","def checkParameters(self):\n EDVerbose.DEBUG(\"EDPluginControlAbsorptionv0_1.checkParameters\")\n self.checkMandatoryParameters(self.getDataInput(), \"Data Input is None\")","def test_kwargs(self):\n user1 = User(email='test@example.com', password='1234', first_name='Jack', last_name='Off')\n self.assertTrue(hasattr(user1, \"email\"))\n self.assertTrue(hasattr(user1, \"password\"))\n self.assertTrue(hasattr(user1, \"first_name\"))\n self.assertTrue(hasattr(user1, \"last_name\"))","def test_default_parameters(self):\n\n assert self.test_shape.rotation_angle == 360\n assert self.test_shape.extrude_both","def check_params(params):\n\n required = ['gtsrb_train_root', 'gtsrb_test_root', 'batch_size']\n for r in required:\n assert r in params.keys(), 'Params must include {}'.format(r)","def check_params(params):\n assert 'split' in params.keys(\n ), 'Params must include split (train, val, or test).'\n\n required = ['batch_size', 'im_shape']\n for r in required:\n assert r in params.keys(), 'Params must include {}'.format(r)","def _CheckMissingRequiredParameters(event_type, required_params, given_params):\n missing_parameters = (\n set(required_params) -\n set(given_params))\n if missing_parameters:\n raise exceptions.MissingRequiredEventTypeParameters(\n missing_parameters, event_type)","def __verify_required_parameters(self, parameters, required_parameters):\n\n\t\tfor parameter in required_parameters:\n\t\t\tif False == parameters.has_key(parameter):\n\t\t\t\traise MissingParameterError(parameter)\n\n\t\treturn True","def check_params(params):\n assert 'split' in params.keys(\n ), 'Params must include split (train, val, or test).'\n\n required = ['batch_size', 'root', 'im_shape']\n for r in required:\n assert r in params.keys(), 'Params must include {}'.format(r)","def check_mandatory(params: Dict[str, str]):\n for key, val in params.items():\n if val is None or val == '':\n raise ValueError(f'Missing mandatory param: `{key}`.')","def test_non_existant_required_arg(self):\n with self.assertRaises(ValueError):\n _func = required_parameters('arg1', 'wibble', 'wobble')\n _func(undecorated_func)\n\n with self.assertRaises(ValueError):\n _func = mutually_exclusive_parameters(\n 'arg1',\n 'wibble',\n 'wobble'\n )\n _func(undecorated_func)","def _check_parameters_support(self, parameters=()):\n for parameter in parameters:\n assert parameter in self._supported, \"Estimation %s is not implemented yet\" % parameter","def test_validParameters(self):\n # stupid/simple inputs\n h = Helix(\"thing\", \"Cu\", 0, 0, 1, 1, 1)\n self.assertEqual(h.getDimension(\"axialPitch\"), 1)\n\n # standard case / inputs ordered well\n h = Helix(\n \"what\",\n \"Cu\",\n Tinput=25.0,\n Thot=425.0,\n id=0.1,\n od=0.35,\n mult=1.0,\n axialPitch=1.123,\n helixDiameter=1.5,\n )\n self.assertTrue(1.123 < h.getDimension(\"axialPitch\") < 1.15)\n\n # inputs ordered crazy\n h = Helix(\n material=\"Cu\",\n id=0.1,\n mult=1.0,\n Tinput=25.0,\n Thot=425.0,\n axialPitch=1.123,\n name=\"stuff\",\n od=0.35,\n helixDiameter=1.5,\n )\n self.assertTrue(1.123 < h.getDimension(\"axialPitch\") < 1.15)\n\n # missing helixDiameter input\n with self.assertRaises(TypeError):\n h = Helix(\n name=\"helix\",\n material=\"Cu\",\n Tinput=25.0,\n Thot=425.0,\n id=0.1,\n od=0.35,\n mult=1.0,\n axialPitch=1.123,\n )","def checkParameters(self):\n self.DEBUG(\"EDPluginExecDamstartv0_3.checkParameters\")\n self.checkMandatoryParameters(self.dataInput, \"Data Input is None\")\n self.checkMandatoryParameters(self.dataInput.getInputPdbFile(), \"No template file specified\")","def check_required(self, required):\n for k in required:\n if self.__dict__.get(k) is None:\n raise ValueError(\n \"Required argument: '{0}' not provided\".format(k))","def test_get_params():\n model = BERTopic()\n params = model.get_params()\n assert not params[\"embedding_model\"]\n assert not params[\"low_memory\"]\n assert not params[\"nr_topics\"]\n assert params[\"n_gram_range\"] == (1, 1)\n assert params[\"min_topic_size\"] == 10\n assert params[\"language\"] == 'english'","def _is_parameters_ok(self):\n if self.api_key is None:\n raise MissingParameterException(\"OpenWeatherMap neuron needs an api_key\")\n if self.location is None:\n raise MissingParameterException(\"OpenWeatherMap neuron needs a location\")\n\n return True","def _is_parameters_ok(self):\n if self.api_key is None:\n raise MissingParameterException(\"OpenWeatherMap neuron needs an api_key\")\n if self.location is None:\n raise MissingParameterException(\"OpenWeatherMap neuron needs a location\")\n\n return True","def test_parameterless_calls(self):\n for attr in dir(api):\n func = getattr(api, attr)\n if callable(func): \n spec = inspect.getargspec(func)\n if not spec.args and not spec.varargs and not spec.keywords and not spec.defaults:\n func()","def test_required_and_mutually_exclusive(self):\n @mutually_exclusive_parameters('arg2', 'arg3')\n @required_parameters('arg1')\n def _func1_decorated(arg1=None, arg2=None, arg3=None):\n return 'foo'\n\n from plone.api.exc import InvalidParameterError\n from plone.api.exc import MissingParameterError\n\n # test that the required parameter error works (missing arg1)\n with self.assertRaises(MissingParameterError):\n _func1_decorated(arg2='ahoy')\n\n # test that the mutually exclusive decorator works\n # (arg2 and arg3 should not be there)\n with self.assertRaises(InvalidParameterError):\n _func1_decorated(\n arg1='ahoy',\n arg2='there',\n arg3='matey',\n )\n\n # test that they both work. Making no assumptions here about the order\n # in which they fire.\n with self.assertRaises((InvalidParameterError, MissingParameterError)):\n _func1_decorated(\n arg2='ahoy',\n arg3='there',\n )\n\n # everything ok\n self.assertEqual(_func1_decorated('ahoy', arg3='there'), 'foo')","def setUp(self):\n\t\tprint(\"\\n-------------------------------------\\nIn Test_ValidParams:\", self._testMethodName)","def checkParameters(self):\n self.DEBUG(\"EDPluginExecDatcmpv2_0.checkParameters\")\n self.checkMandatoryParameters(self.getDataInput(), \"Data Input is None\")\n self.checkMandatoryParameters(self.getDataInput().inputCurve, \"No input 1D curves file provided\")","def test_required_unknown():\n parser=argparse.ArgumentParser()\n parser.add_argument('--region',\n help='Enter a region like us-east-2.',\n dest=\"region\",\n action=ValidateRegion,\n required=True)\n parser.add_argument('--output',\n help='pretty, json, yaml',\n dest=\"output\",\n action=Validateoutput,\n nargs=\"?\",\n default=\"yaml\"\n )\n parser.add_argument('--filter-types',\n help='eg: AWS::IAM::Role or AWS::EC2::Instance. Using \"ALL\" with no quotes and we will run it for all current supported resource types',\n nargs='+',\n dest=\"types\",\n action=Validatefilter,\n required=True)\n parser.add_argument('--tag_keys',\n help='Allows you to exclude particular AWS Resources based on the presence of a particular tag key on the resource. This will only be applied to AWS Resources that support tagging. Valid values: any string that is a valid tag - multiple values can be supplied.',\n dest=\"tags\")\n \n #This should raise an error since this will cause a SystemExit since bad params were passed in \n args = [\"--region\", \"NADA\",'--output', \"NADA\",'--filter-types',\"NADA\"]\n with pytest.raises(SystemExit):\n parser.parse_args(args)\n \n \n \n \n #This should NOT raise an error since good params were passed into the parser\n args = [\"--region\", \"us-east-1\",'--output', \"yaml\",'--filter-types',\"AWS::EC2::Instance\"] \n with not_raises(SystemExit):\n parser.parse_args(args)","def test_get_required_parameters_by_path_can_be_asserted(self) -> None:\n\n self.parameter_store.client.get_parameters_by_path.return_value = {\n \"Parameters\": [\n # Only one of the required parameters is returned.\n {\"Name\": \"/path/sub/key\", \"Value\": \"foo_ssm_value_1\"},\n {\"Name\": \"/path/sub/key2\", \"Value\": \"foo_ssm_value_2\"},\n ]\n }\n\n expected_msg = \"Missing parameters [baz, foo/bar] on path /path/sub/\"\n with self.assertRaises(MissingParameterError, msg=expected_msg) as exc_info:\n self.parameter_store.get_parameters_by_path(\n \"/path/sub/\", required_parameters={\"baz\", \"foo/bar\", \"key\"}\n )\n assert exc_info.exception.parameter_path == \"/path/sub/\"\n assert len(exc_info.exception.parameter_names) == 2\n assert sorted(exc_info.exception.parameter_names) == sorted([\"baz\", \"foo/bar\"])","def _check_params(self):\n\n # verify that estimator1 and estimator2 have predict_proba\n if (not hasattr(self.estimator1_, 'predict_proba') or\n not hasattr(self.estimator2_, 'predict_proba')):\n raise AttributeError(\"Co-training classifier must be initialized \"\n \"with classifiers supporting \"\n \"predict_proba().\")\n\n if (self.p_ is not None and self.p_ <= 0) or (self.n_ is not None and\n self.n_ <= 0):\n raise ValueError(\"Both p and n must be positive.\")\n\n if self.unlabeled_pool_size <= 0:\n raise ValueError(\"unlabeled_pool_size must be positive.\")\n\n if self.num_iter <= 0:\n raise ValueError(\"num_iter must be positive.\")","def test_missing_args(self, test, x, y, z=3, _private_arg=3): # noqa: D213, D407","def check_params(params):\n\n required = ['initlandmarks']\n for r in required:\n assert r in params.keys(), 'Params must include {}'.format(r)","def check_required(self):\n for argument in self.arguments:\n if argument.required:\n raise ArgumentRequiredError(argument, self.tagname)\n else:\n self.kwargs[argument.name] = argument.get_default()","def test_no_arguments(self):\n parser = parse_args([])\n\n self.assertTrue(parser.saml_cache)\n self.assertEqual(parser.saml_assertion, None)\n self.assertFalse(parser.ask_role)\n self.assertFalse(parser.print_creds)\n self.assertFalse(parser.keyring)\n self.assertFalse(parser.resolve_aliases)\n self.assertFalse(parser.disable_u2f, None)\n\n self.assertEqual(parser.duration, None)\n self.assertEqual(parser.auto_duration, False)\n self.assertEqual(parser.idp_id, None)\n self.assertEqual(parser.sp_id, None)\n self.assertEqual(parser.profile, None)\n self.assertEqual(parser.region, None)\n self.assertEqual(parser.role_arn, None)\n self.assertEqual(parser.username, None)\n self.assertEqual(parser.quiet, False)\n self.assertEqual(parser.bg_response, None)\n self.assertEqual(parser.account, None)\n\n self.assertFalse(parser.save_failure_html)\n self.assertFalse(parser.save_saml_flow)\n\n # Assert the size of the parameter so that new parameters trigger a review of this function\n # and the appropriate defaults are added here to track backwards compatibility in the future.\n self.assertEqual(len(vars(parser)), 21)","def _validate(self):\n for p in self.parameters:\n #Check for missing required parameters:\n if p.is_required and not(p.is_set):\n raise ValueError(\"Parameter %s is not set.\" \\\n % p.names[-1])\n #Also repeat the parameter validation here, just in case?","def test_get_params():\n\n kwargs = {\n 'population_size': 500,\n 'generations': 1000,\n 'verbosity': 1\n }\n\n tpot_obj = TPOTClassifier(**kwargs)\n\n # Get default parameters of TPOT and merge with our specified parameters\n initializer = inspect.getargspec(TPOTBase.__init__)\n default_kwargs = dict(zip(initializer.args[1:], initializer.defaults))\n default_kwargs.update(kwargs)\n\n assert tpot_obj.get_params() == default_kwargs","def test_need_params(self):\n\n acme = ACMEAccount(client=self.client)\n # missing acme_id, domains\n self.assertRaises(TypeError, acme.remove_domains)\n # missing domains\n self.assertRaises(TypeError, acme.remove_domains, 1234)\n # domains is not iterable\n self.assertRaises(TypeError, acme.remove_domains, 1234, None)","def test_require_at_least_one_but_none_provided(self):\n from plone.api.exc import MissingParameterError\n _func = at_least_one_of('arg1', 'arg2')(undecorated_func)\n with self.assertRaises(MissingParameterError):\n _func()","def test_arguments(self):\n\n h.test_function_arguments(\n func=BaseTransformer.fit,\n expected_arguments=[\"self\", \"X\", \"y\"],\n expected_default_values=(None,),\n )","def test__init__bound_and_default(self, extras, raises):\n kwargs = dict(\n kind=POSITIONAL_ONLY,\n bound=True,\n **extras,\n )\n\n if not raises:\n assert FParameter(**kwargs).bound\n return\n\n with pytest.raises(TypeError) as excinfo:\n FParameter(**kwargs)\n assert excinfo.value.args[0] == \\\n 'bound arguments must have a default value'","def test_default_parameters(self):\n\n # assert self.test_shape.rotation_angle == 360\n assert self.test_shape.start_angle == 0","def test_no_required_argument(self):\n self._test( # pylint: disable=no-value-for-parameter\n [\"\"], error_classes.MissingContent\n )","def test_defaults(self):\n vark = VarKeyword()\n name, fparam = self.assert_mapping_and_get_fparam(vark)\n assert name == 'kwargs'\n assert fparam.type == empty\n assert not fparam.converter\n assert not fparam.validator\n assert not fparam.metadata","def validate_parameters(self):\n\n # env and fixed_env\n self._validate_envs()\n # checking optional data and scripts\n self._validate_download_data()\n self.data_path = self.params[\"data\"][\"location\"]\n self._validate_scripts()\n # checking optional data_ref (if not data_ref provided, path is the same as data path)\n if \"data_ref\" in self.params:\n self._validate_download_data(data_nm=\"data_ref\")\n# self.data_ref_path = self.params[\"data_ref\"][\"location\"]\n# else:\n# self.data_ref_path = self.data_path\n # checking analysis\n self._validate_analysis()\n # checking tests\n self._validate_tests()\n\n self.params.setdefault(\"post_build\", None)\n # if copy in post_build part that I'm changing the build_context\n if self.params[\"post_build\"] and \"copy\" in self.params[\"post_build\"]:\n self.build_context = self.workflow_path\n else:\n self.build_context = self.working_dir\n\n self.params.setdefault(\"plots\", [])\n if self.params[\"plots\"]:\n if not isinstance(self.params[\"plots\"], (list, tuple)):\n raise SpecificationError(\n \"Value of key 'plots' must be a list or a tuple\"\n )\n else:\n if any(not isinstance(j, dict) for j in self.params[\"plots\"]):\n raise SpecificationError(\n \"Every item in 'plots' must be a dictionary.\"\n )","def _is_parameters_ok(self):\n\n if self.configuration['mpd_url'] is None:\n raise InvalidParameterException(\"MPD needs a url\")\n\n if self.configuration['mpd_action'] is None:\n raise InvalidParameterException(\"MPD needs an action\")\n elif self.configuration['mpd_action'] in ['playlist', 'playlist_spotify', 'search', 'file'] \\\n and self.configuration['query'] is None:\n raise InvalidParameterException(\"MPD requires a query for this action\")\n\n return True","def validate(self):\r\n for opt in self.required:\r\n if not getattr(self, opt):\r\n print \"Error: %s is not specified.\" % opt\r\n self.optp.print_help()\r\n sys.exit(1)","def check_params(params):\n if 'shuffle_seed' not in params:\n params['shuffle_seed'] = None\n\n if trainers_num > 1 and params['shuffle_seed'] is None:\n raise ShuffleSeedException()\n\n data_dir = params.get('data_dir', '')\n assert os.path.isdir(data_dir), \\\n \"{} doesn't exist, please check datadir path\".format(data_dir)\n\n if params['mode'] != 'test':\n file_list = params.get('file_list', '')\n assert os.path.isfile(file_list), \\\n \"{} doesn't exist, please check file list path\".format(file_list)","def test_require_at_least_one_and_several_provided(self):\n _func = at_least_one_of('arg1', 'arg2')(undecorated_func)\n self.assertEqual(_func('ahoy', 'there'), 'foo')\n self.assertEqual(_func(arg1='ahoy', arg2='there'), 'foo')\n self.assertEqual(_func('ahoy', arg2='there', arg3='matey'), 'foo')","def test_missing_args(self, test, x, y, z=3, t=1, _private=0): # noqa: D213, D407","def params_ok(): \n \n if parameters['details'].lower() in ['true', 'yes', '1']:\n parameters['details'] = True\n elif parameters['details'].lower() in ['false', 'no', '0']:\n parameters['details'] = False\n else:\n print 'unrecognized input for details = %s, so set details=False' % parameters['details']\n parameters['details'] = False\n\n if not parameters['db_tables']:\n parameters['db_tables'] = DB_TABLES\n\n # FIXME ideally, pre-check for tables on hosts here before diving in\n\n return True # params are OK; otherwise, we returned False above","def test_kw_args_with_defaults():\n assert arguments.fun_opt_kw_params() == ('blue', 'red', 'yellow', 'orange')","def test_defaults(self):\n fparam = FParameter(POSITIONAL_ONLY)\n assert fparam.kind == POSITIONAL_ONLY\n for k, v in FPARAM_DEFAULTS.items():\n assert getattr(fparam, k) == v","def _validate_setup(self, skip=None):\n\n if skip is None:\n skip = {}\n\n required_attributes = {\"optimizer\"}.difference(skip)\n\n for attr in required_attributes:\n if getattr(self, attr, None) is None:\n raise ValueError(f\"The {attr} cannot be None.\")\n\n if self.num_timesteps is not None and self.num_timesteps <= 0:\n raise ValueError(\n f\"The number of timesteps must be positive but is {self.num_timesteps}.\"\n )\n\n if self.ansatz.num_parameters == 0:\n raise QiskitError(\n \"The ansatz cannot have 0 parameters, otherwise it cannot be trained.\"\n )\n\n if len(self.initial_parameters) != self.ansatz.num_parameters:\n raise QiskitError(\n f\"Mismatching number of parameters in the ansatz ({self.ansatz.num_parameters}) \"\n f\"and the initial parameters ({len(self.initial_parameters)}).\"\n )","def test_build_params( self ):\n r = Requester( self.logger )\n ( partnership_id, authorization_id, pickup_location, search_key, search_value ) = ( 'a', 'b', 'c', 'd', 'e' )\n params = r.build_params( partnership_id, authorization_id, pickup_location, search_key, search_value )\n self.assertEqual(\n ['ExactSearch', 'Notes', 'PartnershipId', 'PickupLocation'],\n sorted(params.keys()) )","def _required_parameters(self) -> RequiredParameters:\n return RequiredParameters([])","def _required_parameters(self) -> RequiredParameters:\n return RequiredParameters([])","def testPreconditions(self):\n self.assertTrue(\n __debug__, \"__debug__ must be True, otherwise asserts are ignored\"\n )","def mandatory_parameter_check(params):\n required_params = ['user_text', 'latitude', 'longitude']\n result = {\n 'fault ': False,\n 'cause ': \" \"\n }\n\n cause = \"Mandatory parameter missing : \"\n for req_param in required_params:\n if req_param not in params:\n cause = cause + \" \" + req_param\n result['fault '] = True\n result['cause'] = cause\n\n return result","def test_parse_arguments1():\n args = []\n parsed_args = parse_arguments.parse_arguments(args)\n assert parsed_args.logging_level == logging.ERROR\n assert parsed_args.group_size == defaults.DEFAULT_GRPSIZE\n assert parsed_args.students_file == defaults.DEFAULT_CSVFILE\n assert (parsed_args.grouping_method == group_random) is False","def test_arguments(self):\n\n h.test_function_arguments(\n func=BaseTransformer.__init__,\n expected_arguments=[\"self\", \"columns\", \"copy\", \"verbose\"],\n expected_default_values=(None, True, False),\n )"],"string":"[\n \"def test_checkParameters(self):\\n self.failUnlessEqual(self.nice.opts['long'], \\\"Alpha\\\")\\n self.failUnlessEqual(self.nice.opts['another'], \\\"Beta\\\")\\n self.failUnlessEqual(self.nice.opts['longonly'], \\\"noshort\\\")\\n self.failUnlessEqual(self.nice.opts['shortless'], \\\"Gamma\\\")\",\n \"def check_params(self):\\n raise NotImplementedError\",\n \"def _check_params(self):\\n pass\",\n \"def testRequiredParameterList(self):\\n api = self.ApiFromDiscoveryDoc(self.__TEST_DISCOVERY_DOC)\\n\\n tests_executed = 0\\n\\n for resource in api.values['resources']:\\n if resource.values['wireName'] == 'activities':\\n for method in resource.values['methods']:\\n if method.required_parameters:\\n required_names = [p.values['wireName']\\n for p in method.required_parameters]\\n self.assertEquals(method.values['parameterOrder'], required_names)\\n tests_executed += 1\\n\\n if method.values['wireName'] == 'get':\\n optional_names = [p.values['wireName']\\n for p in method.optional_parameters]\\n self.assertEquals(['truncateAtom', 'max-comments', 'hl',\\n 'max-liked'],\\n optional_names)\\n tests_executed += 1\\n self.assertEquals(6, tests_executed)\",\n \"def test_overridable_parameter() -> None:\\n param_dict = ParamClass.get_overridable_parameters()\\n assert \\\"name\\\" in param_dict\\n assert \\\"flag\\\" in param_dict\\n assert \\\"not_flag\\\" in param_dict\\n assert \\\"seed\\\" in param_dict\\n assert \\\"number\\\" in param_dict\\n assert \\\"integers\\\" in param_dict\\n assert \\\"optional_int\\\" in param_dict\\n assert \\\"optional_float\\\" in param_dict\\n assert \\\"tuple1\\\" in param_dict\\n assert \\\"int_tuple\\\" in param_dict\\n assert \\\"enum\\\" in param_dict\\n assert \\\"readonly\\\" not in param_dict\\n assert \\\"_non_override\\\" not in param_dict\\n assert \\\"constant\\\" not in param_dict\",\n \"def test_missing_required(self):\\n param_types = {\\n 'string': str,\\n 'unicode': unicode,\\n 'integer': int,\\n 'boolean': bool,\\n 'list': list,\\n 'json': 'json',\\n 'datetime': 'datetime',\\n 'date': 'date',\\n }\\n expected_types = {\\n 'string': '',\\n 'unicode': u'',\\n 'integer': 0,\\n 'boolean': False,\\n 'list': [],\\n 'json': u'',\\n 'datetime': None,\\n 'date': None,\\n }\\n handler = self.create_handler(r'')\\n self.assertEqual(handler.get_params(param_types, required=True),\\n expected_types)\",\n \"def test_missing_optional(self):\\n param_types = {\\n 'string': str,\\n 'unicode': unicode,\\n 'integer': int,\\n 'boolean': bool,\\n 'list': list,\\n 'json': 'json',\\n 'datetime': 'datetime',\\n 'date': 'date',\\n }\\n expected_types = {}\\n handler = self.create_handler(r'')\\n self.assertEqual(handler.get_params(param_types), expected_types)\",\n \"def test_validate_params(mocker, params):\\n validate_params(**params)\",\n \"def __mandatory_is_given(self):\\n\\n strTestName = 'Mandatory parameter is given (correct)'\\n RxCSObject = _RxCSobject()\\n\\n RxCSObject.paramAddMan('mandatory_parameter', 'Mandatory parameter')\\n RxCSObject.mandatory_parameter = 1\\n self.__parametersCheck_error(RxCSObject, 'correct', strTestName)\",\n \"def checkParameters(self):\\n self.DEBUG(\\\"EDPluginWaitMultiFile.checkParameters\\\")\\n self.checkMandatoryParameters(self.dataInput, \\\"Data Input is None\\\")\\n self.checkMandatoryParameters(self.dataInput.expectedFile, \\\"Data Input is None\\\")\\n self.checkMandatoryParameters(self.dataInput.expectedSize, \\\"Data Input is None\\\")\",\n \"def test_required_parameters(self):\\n\\n consumer = LTIConsumerFactory(slug=\\\"consumer\\\")\\n passport = LTIPassportFactory(title=\\\"consumer1_passport1\\\", consumer=consumer)\\n\\n # Missing param : lis_person_sourcedid or ext_user_username or user_id\\n with self.assertRaises(PermissionDenied):\\n self._authenticate(\\n {\\n \\\"lti_message_type\\\": \\\"basic-lti-launch-request\\\",\\n \\\"lti_version\\\": \\\"LTI-1p0\\\",\\n \\\"resource_link_id\\\": \\\"aaa\\\",\\n \\\"context_id\\\": \\\"course-v1:fooschool+authbackend+0001\\\",\\n \\\"lis_person_contact_email_primary\\\": \\\"ashley@example.com\\\",\\n },\\n passport,\\n )\",\n \"def checkNeededParams(self):\\n for clp,value in self.neededParamsNames.items():\\n if value[0] not in self.neededParams:\\n print >> sys.stderr, clp+\\\" is a mandatory parameter \\\"\\n self.printUsage()\\n sys.exit(1)\",\n \"def test_require():\\n assert is_required('test') is None\\n assert is_required(None)\",\n \"def params_required(self) -> bool:\\n if self.no_params or self.params_optional:\\n return False\\n else:\\n return True\",\n \"def test_need_params(self):\\n\\n acme = ACMEAccount(client=self.client)\\n # missing name, acme_server, org_id\\n self.assertRaises(TypeError, acme.create)\\n # missing acme_server, org_id\\n self.assertRaises(TypeError, acme.create, \\\"name\\\")\\n # missing org_id\\n self.assertRaises(TypeError, acme.create, \\\"name\\\", \\\"acme_server\\\")\",\n \"def test_params_passed(self, mock_field_validator, mock_error_builder):\\n\\n ChargeTypeValidator.validate(CHARGE_TYPE)\\n\\n calls = [\\n call(CHARGE_TYPE, 'charge-type', 'Charge type', mock_error_builder(),\\n summary_message='Choose one option', inline_message='Choose one option'),\\n call().is_required()\\n ]\\n mock_field_validator.assert_has_calls(calls)\",\n \"def checkParameters(self):\\n EDVerbose.DEBUG(\\\"EDPluginExecGnomv0_1.checkParameters\\\")\\n self.checkMandatoryParameters(self.dataInput, \\\"Data Input is None\\\")\\n self.checkMandatoryParameters(self.dataInput.experimentalDataQ, \\\"Scattering vector values are missing\\\")\\n self.checkMandatoryParameters(self.dataInput.experimentalDataValues, \\\"Experimental intensity values are missing\\\")\",\n \"def _check_required_params(self):\\n logging.debug('.. check if Experiment have all required parameters')\\n for n in self.REQUIRED_PARAMS:\\n if n not in self.params:\\n raise ValueError('missing \\\"%s\\\" among %r' % (n, self.params.keys()))\",\n \"def __mandatory_is_not_given(self):\\n\\n strTestName = 'Mandatory parameter must be given (incorrect)'\\n RxCSObject = _RxCSobject()\\n\\n RxCSObject.paramAddMan('mandatory_parameter', 'Mandatory parameter')\\n\\n self.__parametersCheck_error(RxCSObject, ParameterMissingError, strTestName)\",\n \"def _validate_params(self):\\n raise NotImplementedError('Must be implemented in subclasses.')\",\n \"def _validate_params(self):\\n assert set(self.required_params) - set(self._params) == set()\\n for par, val in self.optional_params.items():\\n if par not in self._params:\\n self._params[par] = val\",\n \"def check_required_parameters(required_params_dict=dict()):\\r\\n print threading.currentThread().getName(), 'Starting'\\r\\n is_valid = True\\r\\n required_params_not_set = pythontools.validate_required_parameters(required_params_dict)\\r\\n if len(required_params_not_set) > 0:\\r\\n is_valid = False\\r\\n msg = \\\"Validate all required input parameters are set failed.\\\"\\r\\n for param in required_params_not_set:\\r\\n steplog.error(\\\"Required parameter %s is not set.\\\" % param)\\r\\n else:\\r\\n msg = \\\"Validate all required input parameters are set succeeded.\\\"\\r\\n return is_valid, msg\",\n \"def test_required_methods(self):\",\n \"def test_need_params(self):\\n\\n acme = ACMEAccount(client=self.client)\\n # missing acme_id, name\\n self.assertRaises(TypeError, acme.create)\\n # missing name\\n self.assertRaises(TypeError, acme.create, 1234)\",\n \"def __optional_is_not_given(self):\\n\\n strTestName = 'Optional parameter is not given (incorrect)'\\n RxCSObject = _RxCSobject()\\n\\n RxCSObject.paramAddOpt('optional_parameter', 'Optional parameter')\\n\\n self.__parametersCheck_error(RxCSObject, 'correct', strTestName)\",\n \"def test_all_params(self):\\n persistence_helper = PersistenceHelper(use_riak=True, is_sync=True)\\n self.assertEqual(persistence_helper.use_riak, True)\\n self.assertEqual(persistence_helper.is_sync, True)\",\n \"def _assertParams(self) -> None:\\n params = parse_qs(self.http_client.request.call_args[1][\\\"data\\\"].decode(\\\"utf-8\\\"))\\n self.assertEqual(params[\\\"token\\\"], [\\\"mockAccessToken\\\"])\\n self.assertEqual(params[\\\"client_id\\\"], [CLIENT_ID])\\n self.assertEqual(params[\\\"client_secret\\\"], [CLIENT_SECRET])\",\n \"def _check_required_fields(self):\\n assert self.title\\n assert self.format\",\n \"def test_get_params(self):\\n\\n credentials = Mock(base_url=\\\"\\\")\\n manager = Manager(\\\"reports\\\", credentials)\\n\\n # test no parameters or headers sent by default\\n uri, params, method, body, headers, singleobject = manager._get(\\\"ProfitAndLoss\\\")\\n self.assertEqual(params, {}, \\\"test params not sent by default\\\")\\n\\n # test params can be provided\\n passed_params = {\\n \\\"fromDate\\\": \\\"2015-01-01\\\",\\n \\\"toDate\\\": \\\"2015-01-15\\\",\\n }\\n uri, params, method, body, headers, singleobject = manager._get(\\n \\\"ProfitAndLoss\\\", params=passed_params\\n )\\n self.assertEqual(params, passed_params, \\\"test params can be set\\\")\\n\\n # test params respect, but can override, existing configuration\\n manager = Manager(\\\"reports\\\", credentials, unit_price_4dps=True)\\n uri, params, method, body, headers, singleobject = manager._get(\\n \\\"ProfitAndLoss\\\", params=passed_params\\n )\\n self.assertEqual(params, {\\n \\\"fromDate\\\": \\\"2015-01-01\\\",\\n \\\"toDate\\\": \\\"2015-01-15\\\",\\n \\\"unitdp\\\": 4,\\n }, \\\"test params respects existing values\\\")\",\n \"def test_defaults(self):\\n varp = VarPositional()\\n fparam = self.assert_iterable_and_get_fparam(varp)\\n assert fparam.name == 'args'\\n assert fparam.type == empty\\n assert not fparam.converter\\n assert not fparam.validator\\n assert not fparam.metadata\",\n \"def checkParameters(self):\\n self.DEBUG(\\\"EDPluginExecDatGnomv1_0.checkParameters\\\")\\n self.checkMandatoryParameters(self.dataInput, \\\"Data Input is None\\\")\\n self.checkMandatoryParameters(self.dataInput.inputCurve, \\\"No input Curve file provided\\\")\",\n \"def test_class_callparams(self):\\n\\n @Configurable(\\n conf=[\\n Parameter('test0', value=True),\\n Parameter('test1', value=False)\\n ]\\n )\\n class Test(object):\\n\\n def __init__(self, test0=None):\\n\\n super(Test, self).__init__()\\n\\n self.test0 = test0\\n\\n test = Test()\\n\\n self.assertTrue(test.test0)\\n self.assertFalse(test.test1)\",\n \"def test_parameters(self):\\n self.assert_initialize_driver()\\n #reply = self.driver_client.cmd_dvr('get_resource', Parameter.ALL)\\n #self.assert_driver_parameters(reply, verify_sample_interval=True)\",\n \"def test_need_params(self):\\n\\n acme = ACMEAccount(client=self.client)\\n # missing acme_id, domains\\n self.assertRaises(TypeError, acme.add_domains)\\n # missing domains\\n self.assertRaises(TypeError, acme.add_domains, 1234)\\n # domains is not iterable\\n self.assertRaises(TypeError, acme.add_domains, 1234, None)\",\n \"def test_one_missing_one_provided(self):\\n from plone.api.exc import MissingParameterError\\n _func = required_parameters('arg1', 'arg2')(undecorated_func)\\n with self.assertRaises(MissingParameterError):\\n _func('hello')\",\n \"def test_request_params():\\n ctxt = SqContextMock('key', 'http', 'rest-ip', 80)\\n sqobj = SqObjMock(ctxt, 'default', 'default', 'default',\\n 'default', 'default', 'default', 'default')\\n engine = SqRestEngine(sqobj)\\n # paramters which will override engine internal paramters\\n sqobj_override_params = ['hostname', 'namespace', 'view']\\n # other parameters\\n other_params = ['other_param_0', 'other_param_1']\\n\\n testing_params = sqobj_override_params + other_params\\n # try all combinations of params\\n for n_sq_params in range(1, len(testing_params)+1):\\n for sq_params in combinations(testing_params, n_sq_params):\\n req_params = {p: 'override' for p in sq_params}\\n validate_args(engine, req_params)\",\n \"def test_setup(self):\\n self.assertIsNotNone(getattr(self, 'original_good_practice_attrs', None))\\n self.assertIsNotNone(getattr(self, 'original_get_overrides', None))\\n self.assertIsNotNone(getattr(self, 'original_get_alt_field_info', None))\\n self.assertIsNone(getattr(self.form, 'is_prepared', None))\\n self.assertNotIn('good_practice_attrs', self.form.has_call)\\n self.assertNotIn('get_overrides', self.form.has_call)\\n self.assertNotIn('get_alt_field_info', self.form.has_call)\\n good_practice = self.form.good_practice_attrs()\\n if self.good_practice == 'empty':\\n self.assertEqual({}, good_practice)\\n overrides = self.form.get_overrides()\\n if self.overrides_empty_or_skip == 'empty':\\n self.assertEqual({}, overrides)\\n elif self.overrides_empty_or_skip == 'skip':\\n self.assertEqual(self.no_resize_override(), overrides)\\n if self.alt_info == 'empty':\\n self.assertEqual({}, self.form.get_alt_field_info())\\n self.assertIn('get_alt_field_info', self.form.has_call)\\n self.assertEqual(self.form.get_alt_field_info.__name__, 'empty_get_alt_field_info')\\n self.assertIn('good_practice_attrs', self.form.has_call)\\n self.assertIn('get_overrides', self.form.has_call)\\n self.form.has_call = []\\n self.assertEqual(self.form.good_practice_attrs.__name__, 'empty_good_practice_attrs')\\n if self.overrides_empty_or_skip == 'empty':\\n self.assertEqual(self.form.get_overrides.__name__, 'empty_get_overrides')\\n self.assertEqual(self.form.get_overrides.__name__, 'skip_get_overrides')\\n request_type = 'POST' if self.get_initial_data() else 'GET'\\n self.assertEqual(request_type, self.request.method)\",\n \"def test_exactly_one_required(self):\\n\\n @mutually_exclusive_parameters('arg1', 'arg2')\\n @at_least_one_of('arg1', 'arg2')\\n def _func1_decorated(arg1=None, arg2=None, arg3=None):\\n return 'foo'\\n\\n from plone.api.exc import InvalidParameterError\\n from plone.api.exc import MissingParameterError\\n\\n # test it errors if you provide none\\n with self.assertRaises(MissingParameterError):\\n _func1_decorated()\\n\\n # test that it errors if you provide both\\n with self.assertRaises(InvalidParameterError):\\n _func1_decorated('ahoy', 'there')\\n\\n # everything ok\\n self.assertEqual(_func1_decorated('ahoy'), 'foo')\\n self.assertEqual(_func1_decorated('ahoy', arg3='there'), 'foo')\",\n \"def test_good_custom_params(self):\\n self.xmodule.custom_parameters = ['test_custom_params=test_custom_param_value']\\n self.xmodule.get_client_key_secret = Mock(return_value=('test_client_key', 'test_client_secret'))\\n self.xmodule.oauth_params = Mock()\\n self.xmodule.get_input_fields()\\n self.xmodule.oauth_params.assert_called_with(\\n {'custom_test_custom_params': 'test_custom_param_value'},\\n 'test_client_key', 'test_client_secret'\\n )\",\n \"def _check_required_parameters(\\n self,\\n required_parameters,\\n parameters\\n ):\\n self.log([u\\\"Checking required parameters '%s'\\\", required_parameters])\\n self.log(u\\\"Checking input parameters are not empty\\\")\\n if (parameters is None) or (len(parameters) == 0):\\n self._failed(u\\\"No parameters supplied.\\\")\\n return\\n self.log(u\\\"Checking no required parameter is missing\\\")\\n for req_param in required_parameters:\\n if req_param not in parameters:\\n self._failed(u\\\"Required parameter '%s' not set.\\\" % req_param)\\n return\\n self.log(u\\\"Checking all parameter values are allowed\\\")\\n self._check_allowed_values(parameters)\\n self.log(u\\\"Checking all implied parameters are present\\\")\\n self._check_implied_parameters(parameters)\\n return self.result\",\n \"def test_optional_arg(self):\\n obj = Base()\\n self.assertEqual(obj.id, 1)\",\n \"def _check_parameters(self, ep, params):\\n\\n any_group_satisfied = False\\n for group in ep.REQUIRED:\\n if all(required_param in params for required_param in group):\\n any_group_satisfied = True\\n\\n if not any_group_satisfied:\\n raise ValueError(f\\\"Got parameters {params}, expected one of {ep.REQUIRED}\\\")\\n\\n for key in params:\\n if key not in ep.POSSIBLE:\\n raise ValueError(f\\\"Got {key}, expected one of {ep.POSSIBLE}\\\")\",\n \"def test_good_custom_params(self):\\r\\n self.xmodule.custom_parameters = ['test_custom_params=test_custom_param_value']\\r\\n self.xmodule.get_client_key_secret = Mock(return_value=('test_client_key', 'test_client_secret'))\\r\\n self.xmodule.oauth_params = Mock()\\r\\n self.xmodule.get_input_fields()\\r\\n self.xmodule.oauth_params.assert_called_with(\\r\\n {u'custom_test_custom_params': u'test_custom_param_value'},\\r\\n 'test_client_key', 'test_client_secret'\\r\\n )\",\n \"def test_create_user_missing_mandatory_field_values(self):\\n print(\\\"Missing First Name\\\")\\n kwargs = {\\\"first_name\\\":\\\"\\\", \\\"return_response_obj\\\": True, \\\"return_failure_response\\\": True}\\n response = self.test_create_user_endpoint(**kwargs)\\n\\n print(\\\"Verify Response body\\\")\\n expected_result = self.test_args[\\\"expected_result\\\"][\\\"missing_first_name\\\"]\\n actual_result = json.loads(response.text)[\\\"message\\\"]\\n assert actual_result == expected_result, \\\"Test Failed.. Expected: {0}.. Actual: {1}\\\".format(expected_result,\\n actual_result)\\n\\n print(\\\"Missing Last Name\\\")\\n kwargs = {\\\"last_name\\\": \\\"\\\", \\\"return_response_obj\\\": True, \\\"return_failure_response\\\": True}\\n response = self.test_create_user_endpoint(**kwargs)\\n\\n print(\\\"Verify Response body\\\")\\n expected_result = self.test_args[\\\"expected_result\\\"][\\\"missing_last_name\\\"]\\n actual_result = json.loads(response.text)[\\\"message\\\"]\\n assert actual_result == expected_result, \\\"Test Failed.. Expected: {0}.. Actual: {1}\\\".format(expected_result,\\n actual_result)\\n\\n print(\\\"Missing Password Name\\\")\\n kwargs = {\\\"password\\\": \\\"\\\", \\\"return_response_obj\\\": True, \\\"return_failure_response\\\": True}\\n response = self.test_create_user_endpoint(**kwargs)\\n\\n print(\\\"Verify Response body\\\")\\n expected_result = self.test_args[\\\"expected_result\\\"][\\\"missing_password\\\"]\\n actual_result = json.loads(response.text)[\\\"message\\\"]\\n assert actual_result == expected_result, \\\"Test Failed.. Expected: {0}.. Actual: {1}\\\".format(expected_result,\\n actual_result)\\n\\n print(\\\"Missing Email id\\\")\\n kwargs = {\\\"email\\\": \\\"\\\", \\\"return_response_obj\\\": True, \\\"return_failure_response\\\": True}\\n response = self.test_create_user_endpoint(**kwargs)\\n\\n print(\\\"Verify Response body\\\")\\n expected_result = self.test_args[\\\"expected_result\\\"][\\\"missing_email\\\"]\\n actual_result = json.loads(response.text)[\\\"message\\\"]\\n assert actual_result == expected_result, \\\"Test Failed.. Expected: {0}.. Actual: {1}\\\".format(expected_result,\\n actual_result)\",\n \"def test_data_in_param(self):\",\n \"def test_missing_required_params():\\n from scraper import get_inspection_page\\n with pytest.raises(TypeError):\\n get_inspection_page(only_param='val')\",\n \"def test_test_group_parameters(self):\\n pass\",\n \"def checkParameters(self):\\n EDVerbose.DEBUG(\\\"EDPluginControlAbsorptionv0_1.checkParameters\\\")\\n self.checkMandatoryParameters(self.getDataInput(), \\\"Data Input is None\\\")\",\n \"def test_kwargs(self):\\n user1 = User(email='test@example.com', password='1234', first_name='Jack', last_name='Off')\\n self.assertTrue(hasattr(user1, \\\"email\\\"))\\n self.assertTrue(hasattr(user1, \\\"password\\\"))\\n self.assertTrue(hasattr(user1, \\\"first_name\\\"))\\n self.assertTrue(hasattr(user1, \\\"last_name\\\"))\",\n \"def test_default_parameters(self):\\n\\n assert self.test_shape.rotation_angle == 360\\n assert self.test_shape.extrude_both\",\n \"def check_params(params):\\n\\n required = ['gtsrb_train_root', 'gtsrb_test_root', 'batch_size']\\n for r in required:\\n assert r in params.keys(), 'Params must include {}'.format(r)\",\n \"def check_params(params):\\n assert 'split' in params.keys(\\n ), 'Params must include split (train, val, or test).'\\n\\n required = ['batch_size', 'im_shape']\\n for r in required:\\n assert r in params.keys(), 'Params must include {}'.format(r)\",\n \"def _CheckMissingRequiredParameters(event_type, required_params, given_params):\\n missing_parameters = (\\n set(required_params) -\\n set(given_params))\\n if missing_parameters:\\n raise exceptions.MissingRequiredEventTypeParameters(\\n missing_parameters, event_type)\",\n \"def __verify_required_parameters(self, parameters, required_parameters):\\n\\n\\t\\tfor parameter in required_parameters:\\n\\t\\t\\tif False == parameters.has_key(parameter):\\n\\t\\t\\t\\traise MissingParameterError(parameter)\\n\\n\\t\\treturn True\",\n \"def check_params(params):\\n assert 'split' in params.keys(\\n ), 'Params must include split (train, val, or test).'\\n\\n required = ['batch_size', 'root', 'im_shape']\\n for r in required:\\n assert r in params.keys(), 'Params must include {}'.format(r)\",\n \"def check_mandatory(params: Dict[str, str]):\\n for key, val in params.items():\\n if val is None or val == '':\\n raise ValueError(f'Missing mandatory param: `{key}`.')\",\n \"def test_non_existant_required_arg(self):\\n with self.assertRaises(ValueError):\\n _func = required_parameters('arg1', 'wibble', 'wobble')\\n _func(undecorated_func)\\n\\n with self.assertRaises(ValueError):\\n _func = mutually_exclusive_parameters(\\n 'arg1',\\n 'wibble',\\n 'wobble'\\n )\\n _func(undecorated_func)\",\n \"def _check_parameters_support(self, parameters=()):\\n for parameter in parameters:\\n assert parameter in self._supported, \\\"Estimation %s is not implemented yet\\\" % parameter\",\n \"def test_validParameters(self):\\n # stupid/simple inputs\\n h = Helix(\\\"thing\\\", \\\"Cu\\\", 0, 0, 1, 1, 1)\\n self.assertEqual(h.getDimension(\\\"axialPitch\\\"), 1)\\n\\n # standard case / inputs ordered well\\n h = Helix(\\n \\\"what\\\",\\n \\\"Cu\\\",\\n Tinput=25.0,\\n Thot=425.0,\\n id=0.1,\\n od=0.35,\\n mult=1.0,\\n axialPitch=1.123,\\n helixDiameter=1.5,\\n )\\n self.assertTrue(1.123 < h.getDimension(\\\"axialPitch\\\") < 1.15)\\n\\n # inputs ordered crazy\\n h = Helix(\\n material=\\\"Cu\\\",\\n id=0.1,\\n mult=1.0,\\n Tinput=25.0,\\n Thot=425.0,\\n axialPitch=1.123,\\n name=\\\"stuff\\\",\\n od=0.35,\\n helixDiameter=1.5,\\n )\\n self.assertTrue(1.123 < h.getDimension(\\\"axialPitch\\\") < 1.15)\\n\\n # missing helixDiameter input\\n with self.assertRaises(TypeError):\\n h = Helix(\\n name=\\\"helix\\\",\\n material=\\\"Cu\\\",\\n Tinput=25.0,\\n Thot=425.0,\\n id=0.1,\\n od=0.35,\\n mult=1.0,\\n axialPitch=1.123,\\n )\",\n \"def checkParameters(self):\\n self.DEBUG(\\\"EDPluginExecDamstartv0_3.checkParameters\\\")\\n self.checkMandatoryParameters(self.dataInput, \\\"Data Input is None\\\")\\n self.checkMandatoryParameters(self.dataInput.getInputPdbFile(), \\\"No template file specified\\\")\",\n \"def check_required(self, required):\\n for k in required:\\n if self.__dict__.get(k) is None:\\n raise ValueError(\\n \\\"Required argument: '{0}' not provided\\\".format(k))\",\n \"def test_get_params():\\n model = BERTopic()\\n params = model.get_params()\\n assert not params[\\\"embedding_model\\\"]\\n assert not params[\\\"low_memory\\\"]\\n assert not params[\\\"nr_topics\\\"]\\n assert params[\\\"n_gram_range\\\"] == (1, 1)\\n assert params[\\\"min_topic_size\\\"] == 10\\n assert params[\\\"language\\\"] == 'english'\",\n \"def _is_parameters_ok(self):\\n if self.api_key is None:\\n raise MissingParameterException(\\\"OpenWeatherMap neuron needs an api_key\\\")\\n if self.location is None:\\n raise MissingParameterException(\\\"OpenWeatherMap neuron needs a location\\\")\\n\\n return True\",\n \"def _is_parameters_ok(self):\\n if self.api_key is None:\\n raise MissingParameterException(\\\"OpenWeatherMap neuron needs an api_key\\\")\\n if self.location is None:\\n raise MissingParameterException(\\\"OpenWeatherMap neuron needs a location\\\")\\n\\n return True\",\n \"def test_parameterless_calls(self):\\n for attr in dir(api):\\n func = getattr(api, attr)\\n if callable(func): \\n spec = inspect.getargspec(func)\\n if not spec.args and not spec.varargs and not spec.keywords and not spec.defaults:\\n func()\",\n \"def test_required_and_mutually_exclusive(self):\\n @mutually_exclusive_parameters('arg2', 'arg3')\\n @required_parameters('arg1')\\n def _func1_decorated(arg1=None, arg2=None, arg3=None):\\n return 'foo'\\n\\n from plone.api.exc import InvalidParameterError\\n from plone.api.exc import MissingParameterError\\n\\n # test that the required parameter error works (missing arg1)\\n with self.assertRaises(MissingParameterError):\\n _func1_decorated(arg2='ahoy')\\n\\n # test that the mutually exclusive decorator works\\n # (arg2 and arg3 should not be there)\\n with self.assertRaises(InvalidParameterError):\\n _func1_decorated(\\n arg1='ahoy',\\n arg2='there',\\n arg3='matey',\\n )\\n\\n # test that they both work. Making no assumptions here about the order\\n # in which they fire.\\n with self.assertRaises((InvalidParameterError, MissingParameterError)):\\n _func1_decorated(\\n arg2='ahoy',\\n arg3='there',\\n )\\n\\n # everything ok\\n self.assertEqual(_func1_decorated('ahoy', arg3='there'), 'foo')\",\n \"def setUp(self):\\n\\t\\tprint(\\\"\\\\n-------------------------------------\\\\nIn Test_ValidParams:\\\", self._testMethodName)\",\n \"def checkParameters(self):\\n self.DEBUG(\\\"EDPluginExecDatcmpv2_0.checkParameters\\\")\\n self.checkMandatoryParameters(self.getDataInput(), \\\"Data Input is None\\\")\\n self.checkMandatoryParameters(self.getDataInput().inputCurve, \\\"No input 1D curves file provided\\\")\",\n \"def test_required_unknown():\\n parser=argparse.ArgumentParser()\\n parser.add_argument('--region',\\n help='Enter a region like us-east-2.',\\n dest=\\\"region\\\",\\n action=ValidateRegion,\\n required=True)\\n parser.add_argument('--output',\\n help='pretty, json, yaml',\\n dest=\\\"output\\\",\\n action=Validateoutput,\\n nargs=\\\"?\\\",\\n default=\\\"yaml\\\"\\n )\\n parser.add_argument('--filter-types',\\n help='eg: AWS::IAM::Role or AWS::EC2::Instance. Using \\\"ALL\\\" with no quotes and we will run it for all current supported resource types',\\n nargs='+',\\n dest=\\\"types\\\",\\n action=Validatefilter,\\n required=True)\\n parser.add_argument('--tag_keys',\\n help='Allows you to exclude particular AWS Resources based on the presence of a particular tag key on the resource. This will only be applied to AWS Resources that support tagging. Valid values: any string that is a valid tag - multiple values can be supplied.',\\n dest=\\\"tags\\\")\\n \\n #This should raise an error since this will cause a SystemExit since bad params were passed in \\n args = [\\\"--region\\\", \\\"NADA\\\",'--output', \\\"NADA\\\",'--filter-types',\\\"NADA\\\"]\\n with pytest.raises(SystemExit):\\n parser.parse_args(args)\\n \\n \\n \\n \\n #This should NOT raise an error since good params were passed into the parser\\n args = [\\\"--region\\\", \\\"us-east-1\\\",'--output', \\\"yaml\\\",'--filter-types',\\\"AWS::EC2::Instance\\\"] \\n with not_raises(SystemExit):\\n parser.parse_args(args)\",\n \"def test_get_required_parameters_by_path_can_be_asserted(self) -> None:\\n\\n self.parameter_store.client.get_parameters_by_path.return_value = {\\n \\\"Parameters\\\": [\\n # Only one of the required parameters is returned.\\n {\\\"Name\\\": \\\"/path/sub/key\\\", \\\"Value\\\": \\\"foo_ssm_value_1\\\"},\\n {\\\"Name\\\": \\\"/path/sub/key2\\\", \\\"Value\\\": \\\"foo_ssm_value_2\\\"},\\n ]\\n }\\n\\n expected_msg = \\\"Missing parameters [baz, foo/bar] on path /path/sub/\\\"\\n with self.assertRaises(MissingParameterError, msg=expected_msg) as exc_info:\\n self.parameter_store.get_parameters_by_path(\\n \\\"/path/sub/\\\", required_parameters={\\\"baz\\\", \\\"foo/bar\\\", \\\"key\\\"}\\n )\\n assert exc_info.exception.parameter_path == \\\"/path/sub/\\\"\\n assert len(exc_info.exception.parameter_names) == 2\\n assert sorted(exc_info.exception.parameter_names) == sorted([\\\"baz\\\", \\\"foo/bar\\\"])\",\n \"def _check_params(self):\\n\\n # verify that estimator1 and estimator2 have predict_proba\\n if (not hasattr(self.estimator1_, 'predict_proba') or\\n not hasattr(self.estimator2_, 'predict_proba')):\\n raise AttributeError(\\\"Co-training classifier must be initialized \\\"\\n \\\"with classifiers supporting \\\"\\n \\\"predict_proba().\\\")\\n\\n if (self.p_ is not None and self.p_ <= 0) or (self.n_ is not None and\\n self.n_ <= 0):\\n raise ValueError(\\\"Both p and n must be positive.\\\")\\n\\n if self.unlabeled_pool_size <= 0:\\n raise ValueError(\\\"unlabeled_pool_size must be positive.\\\")\\n\\n if self.num_iter <= 0:\\n raise ValueError(\\\"num_iter must be positive.\\\")\",\n \"def test_missing_args(self, test, x, y, z=3, _private_arg=3): # noqa: D213, D407\",\n \"def check_params(params):\\n\\n required = ['initlandmarks']\\n for r in required:\\n assert r in params.keys(), 'Params must include {}'.format(r)\",\n \"def check_required(self):\\n for argument in self.arguments:\\n if argument.required:\\n raise ArgumentRequiredError(argument, self.tagname)\\n else:\\n self.kwargs[argument.name] = argument.get_default()\",\n \"def test_no_arguments(self):\\n parser = parse_args([])\\n\\n self.assertTrue(parser.saml_cache)\\n self.assertEqual(parser.saml_assertion, None)\\n self.assertFalse(parser.ask_role)\\n self.assertFalse(parser.print_creds)\\n self.assertFalse(parser.keyring)\\n self.assertFalse(parser.resolve_aliases)\\n self.assertFalse(parser.disable_u2f, None)\\n\\n self.assertEqual(parser.duration, None)\\n self.assertEqual(parser.auto_duration, False)\\n self.assertEqual(parser.idp_id, None)\\n self.assertEqual(parser.sp_id, None)\\n self.assertEqual(parser.profile, None)\\n self.assertEqual(parser.region, None)\\n self.assertEqual(parser.role_arn, None)\\n self.assertEqual(parser.username, None)\\n self.assertEqual(parser.quiet, False)\\n self.assertEqual(parser.bg_response, None)\\n self.assertEqual(parser.account, None)\\n\\n self.assertFalse(parser.save_failure_html)\\n self.assertFalse(parser.save_saml_flow)\\n\\n # Assert the size of the parameter so that new parameters trigger a review of this function\\n # and the appropriate defaults are added here to track backwards compatibility in the future.\\n self.assertEqual(len(vars(parser)), 21)\",\n \"def _validate(self):\\n for p in self.parameters:\\n #Check for missing required parameters:\\n if p.is_required and not(p.is_set):\\n raise ValueError(\\\"Parameter %s is not set.\\\" \\\\\\n % p.names[-1])\\n #Also repeat the parameter validation here, just in case?\",\n \"def test_get_params():\\n\\n kwargs = {\\n 'population_size': 500,\\n 'generations': 1000,\\n 'verbosity': 1\\n }\\n\\n tpot_obj = TPOTClassifier(**kwargs)\\n\\n # Get default parameters of TPOT and merge with our specified parameters\\n initializer = inspect.getargspec(TPOTBase.__init__)\\n default_kwargs = dict(zip(initializer.args[1:], initializer.defaults))\\n default_kwargs.update(kwargs)\\n\\n assert tpot_obj.get_params() == default_kwargs\",\n \"def test_need_params(self):\\n\\n acme = ACMEAccount(client=self.client)\\n # missing acme_id, domains\\n self.assertRaises(TypeError, acme.remove_domains)\\n # missing domains\\n self.assertRaises(TypeError, acme.remove_domains, 1234)\\n # domains is not iterable\\n self.assertRaises(TypeError, acme.remove_domains, 1234, None)\",\n \"def test_require_at_least_one_but_none_provided(self):\\n from plone.api.exc import MissingParameterError\\n _func = at_least_one_of('arg1', 'arg2')(undecorated_func)\\n with self.assertRaises(MissingParameterError):\\n _func()\",\n \"def test_arguments(self):\\n\\n h.test_function_arguments(\\n func=BaseTransformer.fit,\\n expected_arguments=[\\\"self\\\", \\\"X\\\", \\\"y\\\"],\\n expected_default_values=(None,),\\n )\",\n \"def test__init__bound_and_default(self, extras, raises):\\n kwargs = dict(\\n kind=POSITIONAL_ONLY,\\n bound=True,\\n **extras,\\n )\\n\\n if not raises:\\n assert FParameter(**kwargs).bound\\n return\\n\\n with pytest.raises(TypeError) as excinfo:\\n FParameter(**kwargs)\\n assert excinfo.value.args[0] == \\\\\\n 'bound arguments must have a default value'\",\n \"def test_default_parameters(self):\\n\\n # assert self.test_shape.rotation_angle == 360\\n assert self.test_shape.start_angle == 0\",\n \"def test_no_required_argument(self):\\n self._test( # pylint: disable=no-value-for-parameter\\n [\\\"\\\"], error_classes.MissingContent\\n )\",\n \"def test_defaults(self):\\n vark = VarKeyword()\\n name, fparam = self.assert_mapping_and_get_fparam(vark)\\n assert name == 'kwargs'\\n assert fparam.type == empty\\n assert not fparam.converter\\n assert not fparam.validator\\n assert not fparam.metadata\",\n \"def validate_parameters(self):\\n\\n # env and fixed_env\\n self._validate_envs()\\n # checking optional data and scripts\\n self._validate_download_data()\\n self.data_path = self.params[\\\"data\\\"][\\\"location\\\"]\\n self._validate_scripts()\\n # checking optional data_ref (if not data_ref provided, path is the same as data path)\\n if \\\"data_ref\\\" in self.params:\\n self._validate_download_data(data_nm=\\\"data_ref\\\")\\n# self.data_ref_path = self.params[\\\"data_ref\\\"][\\\"location\\\"]\\n# else:\\n# self.data_ref_path = self.data_path\\n # checking analysis\\n self._validate_analysis()\\n # checking tests\\n self._validate_tests()\\n\\n self.params.setdefault(\\\"post_build\\\", None)\\n # if copy in post_build part that I'm changing the build_context\\n if self.params[\\\"post_build\\\"] and \\\"copy\\\" in self.params[\\\"post_build\\\"]:\\n self.build_context = self.workflow_path\\n else:\\n self.build_context = self.working_dir\\n\\n self.params.setdefault(\\\"plots\\\", [])\\n if self.params[\\\"plots\\\"]:\\n if not isinstance(self.params[\\\"plots\\\"], (list, tuple)):\\n raise SpecificationError(\\n \\\"Value of key 'plots' must be a list or a tuple\\\"\\n )\\n else:\\n if any(not isinstance(j, dict) for j in self.params[\\\"plots\\\"]):\\n raise SpecificationError(\\n \\\"Every item in 'plots' must be a dictionary.\\\"\\n )\",\n \"def _is_parameters_ok(self):\\n\\n if self.configuration['mpd_url'] is None:\\n raise InvalidParameterException(\\\"MPD needs a url\\\")\\n\\n if self.configuration['mpd_action'] is None:\\n raise InvalidParameterException(\\\"MPD needs an action\\\")\\n elif self.configuration['mpd_action'] in ['playlist', 'playlist_spotify', 'search', 'file'] \\\\\\n and self.configuration['query'] is None:\\n raise InvalidParameterException(\\\"MPD requires a query for this action\\\")\\n\\n return True\",\n \"def validate(self):\\r\\n for opt in self.required:\\r\\n if not getattr(self, opt):\\r\\n print \\\"Error: %s is not specified.\\\" % opt\\r\\n self.optp.print_help()\\r\\n sys.exit(1)\",\n \"def check_params(params):\\n if 'shuffle_seed' not in params:\\n params['shuffle_seed'] = None\\n\\n if trainers_num > 1 and params['shuffle_seed'] is None:\\n raise ShuffleSeedException()\\n\\n data_dir = params.get('data_dir', '')\\n assert os.path.isdir(data_dir), \\\\\\n \\\"{} doesn't exist, please check datadir path\\\".format(data_dir)\\n\\n if params['mode'] != 'test':\\n file_list = params.get('file_list', '')\\n assert os.path.isfile(file_list), \\\\\\n \\\"{} doesn't exist, please check file list path\\\".format(file_list)\",\n \"def test_require_at_least_one_and_several_provided(self):\\n _func = at_least_one_of('arg1', 'arg2')(undecorated_func)\\n self.assertEqual(_func('ahoy', 'there'), 'foo')\\n self.assertEqual(_func(arg1='ahoy', arg2='there'), 'foo')\\n self.assertEqual(_func('ahoy', arg2='there', arg3='matey'), 'foo')\",\n \"def test_missing_args(self, test, x, y, z=3, t=1, _private=0): # noqa: D213, D407\",\n \"def params_ok(): \\n \\n if parameters['details'].lower() in ['true', 'yes', '1']:\\n parameters['details'] = True\\n elif parameters['details'].lower() in ['false', 'no', '0']:\\n parameters['details'] = False\\n else:\\n print 'unrecognized input for details = %s, so set details=False' % parameters['details']\\n parameters['details'] = False\\n\\n if not parameters['db_tables']:\\n parameters['db_tables'] = DB_TABLES\\n\\n # FIXME ideally, pre-check for tables on hosts here before diving in\\n\\n return True # params are OK; otherwise, we returned False above\",\n \"def test_kw_args_with_defaults():\\n assert arguments.fun_opt_kw_params() == ('blue', 'red', 'yellow', 'orange')\",\n \"def test_defaults(self):\\n fparam = FParameter(POSITIONAL_ONLY)\\n assert fparam.kind == POSITIONAL_ONLY\\n for k, v in FPARAM_DEFAULTS.items():\\n assert getattr(fparam, k) == v\",\n \"def _validate_setup(self, skip=None):\\n\\n if skip is None:\\n skip = {}\\n\\n required_attributes = {\\\"optimizer\\\"}.difference(skip)\\n\\n for attr in required_attributes:\\n if getattr(self, attr, None) is None:\\n raise ValueError(f\\\"The {attr} cannot be None.\\\")\\n\\n if self.num_timesteps is not None and self.num_timesteps <= 0:\\n raise ValueError(\\n f\\\"The number of timesteps must be positive but is {self.num_timesteps}.\\\"\\n )\\n\\n if self.ansatz.num_parameters == 0:\\n raise QiskitError(\\n \\\"The ansatz cannot have 0 parameters, otherwise it cannot be trained.\\\"\\n )\\n\\n if len(self.initial_parameters) != self.ansatz.num_parameters:\\n raise QiskitError(\\n f\\\"Mismatching number of parameters in the ansatz ({self.ansatz.num_parameters}) \\\"\\n f\\\"and the initial parameters ({len(self.initial_parameters)}).\\\"\\n )\",\n \"def test_build_params( self ):\\n r = Requester( self.logger )\\n ( partnership_id, authorization_id, pickup_location, search_key, search_value ) = ( 'a', 'b', 'c', 'd', 'e' )\\n params = r.build_params( partnership_id, authorization_id, pickup_location, search_key, search_value )\\n self.assertEqual(\\n ['ExactSearch', 'Notes', 'PartnershipId', 'PickupLocation'],\\n sorted(params.keys()) )\",\n \"def _required_parameters(self) -> RequiredParameters:\\n return RequiredParameters([])\",\n \"def _required_parameters(self) -> RequiredParameters:\\n return RequiredParameters([])\",\n \"def testPreconditions(self):\\n self.assertTrue(\\n __debug__, \\\"__debug__ must be True, otherwise asserts are ignored\\\"\\n )\",\n \"def mandatory_parameter_check(params):\\n required_params = ['user_text', 'latitude', 'longitude']\\n result = {\\n 'fault ': False,\\n 'cause ': \\\" \\\"\\n }\\n\\n cause = \\\"Mandatory parameter missing : \\\"\\n for req_param in required_params:\\n if req_param not in params:\\n cause = cause + \\\" \\\" + req_param\\n result['fault '] = True\\n result['cause'] = cause\\n\\n return result\",\n \"def test_parse_arguments1():\\n args = []\\n parsed_args = parse_arguments.parse_arguments(args)\\n assert parsed_args.logging_level == logging.ERROR\\n assert parsed_args.group_size == defaults.DEFAULT_GRPSIZE\\n assert parsed_args.students_file == defaults.DEFAULT_CSVFILE\\n assert (parsed_args.grouping_method == group_random) is False\",\n \"def test_arguments(self):\\n\\n h.test_function_arguments(\\n func=BaseTransformer.__init__,\\n expected_arguments=[\\\"self\\\", \\\"columns\\\", \\\"copy\\\", \\\"verbose\\\"],\\n expected_default_values=(None, True, False),\\n )\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.71258616","0.68760175","0.68379354","0.6795169","0.6731811","0.6697062","0.6688189","0.6682522","0.6640285","0.66375905","0.6609301","0.6607212","0.6594101","0.657962","0.6576454","0.65662366","0.65466017","0.65358907","0.6519866","0.6510823","0.65047467","0.6501379","0.6498597","0.6475643","0.6470618","0.6453402","0.64095837","0.64035153","0.64029884","0.64024216","0.639102","0.6389114","0.63692254","0.6367769","0.6361391","0.6360943","0.6353371","0.6351602","0.6348863","0.6342962","0.6339766","0.6332429","0.63255405","0.631994","0.6307424","0.6305914","0.6302451","0.6292279","0.62631965","0.6258453","0.62434834","0.62211615","0.6219166","0.62187517","0.6210275","0.62073517","0.61767244","0.61733997","0.61733556","0.61707664","0.6167214","0.6154291","0.61524117","0.61524117","0.61519223","0.61516416","0.61477315","0.61474985","0.61473554","0.6133393","0.61298525","0.6127775","0.6125769","0.6123416","0.6119758","0.61178905","0.6115929","0.61117566","0.61116177","0.6108947","0.61056215","0.6101316","0.60998255","0.6098771","0.60950744","0.60907596","0.60880274","0.6074658","0.60724664","0.6066157","0.60649467","0.6059196","0.605719","0.60493493","0.60481054","0.60476726","0.60476726","0.60449576","0.6044148","0.60379595","0.60301685"],"string":"[\n \"0.71258616\",\n \"0.68760175\",\n \"0.68379354\",\n \"0.6795169\",\n \"0.6731811\",\n \"0.6697062\",\n \"0.6688189\",\n \"0.6682522\",\n \"0.6640285\",\n \"0.66375905\",\n \"0.6609301\",\n \"0.6607212\",\n \"0.6594101\",\n \"0.657962\",\n \"0.6576454\",\n \"0.65662366\",\n \"0.65466017\",\n \"0.65358907\",\n \"0.6519866\",\n \"0.6510823\",\n \"0.65047467\",\n \"0.6501379\",\n \"0.6498597\",\n \"0.6475643\",\n \"0.6470618\",\n \"0.6453402\",\n \"0.64095837\",\n \"0.64035153\",\n \"0.64029884\",\n \"0.64024216\",\n \"0.639102\",\n \"0.6389114\",\n \"0.63692254\",\n \"0.6367769\",\n \"0.6361391\",\n \"0.6360943\",\n \"0.6353371\",\n \"0.6351602\",\n \"0.6348863\",\n \"0.6342962\",\n \"0.6339766\",\n \"0.6332429\",\n \"0.63255405\",\n \"0.631994\",\n \"0.6307424\",\n \"0.6305914\",\n \"0.6302451\",\n \"0.6292279\",\n \"0.62631965\",\n \"0.6258453\",\n \"0.62434834\",\n \"0.62211615\",\n \"0.6219166\",\n \"0.62187517\",\n \"0.6210275\",\n \"0.62073517\",\n \"0.61767244\",\n \"0.61733997\",\n \"0.61733556\",\n \"0.61707664\",\n \"0.6167214\",\n \"0.6154291\",\n \"0.61524117\",\n \"0.61524117\",\n \"0.61519223\",\n \"0.61516416\",\n \"0.61477315\",\n \"0.61474985\",\n \"0.61473554\",\n \"0.6133393\",\n \"0.61298525\",\n \"0.6127775\",\n \"0.6125769\",\n \"0.6123416\",\n \"0.6119758\",\n \"0.61178905\",\n \"0.6115929\",\n \"0.61117566\",\n \"0.61116177\",\n \"0.6108947\",\n \"0.61056215\",\n \"0.6101316\",\n \"0.60998255\",\n \"0.6098771\",\n \"0.60950744\",\n \"0.60907596\",\n \"0.60880274\",\n \"0.6074658\",\n \"0.60724664\",\n \"0.6066157\",\n \"0.60649467\",\n \"0.6059196\",\n \"0.605719\",\n \"0.60493493\",\n \"0.60481054\",\n \"0.60476726\",\n \"0.60476726\",\n \"0.60449576\",\n \"0.6044148\",\n \"0.60379595\",\n \"0.60301685\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":20495,"cells":{"query":{"kind":"string","value":"If we have multiple projects, will loop through the projects to find the one with the given story. returns None if not found"},"document":{"kind":"string","value":"def find_project_for_story(story_id):\n\n for project in Project.all():\n story = project.load_story(story_id)\n if story is not None:\n return project\n\n #Not found\n print \"No project found for story: #{}\".format(story_id)\n return 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 find_project_for_story(story_id):\r\n\r\n for project in Project.all():\r\n story = project.load_story(story_id)\r\n if story is not None:\r\n return project\r\n\r\n #Not found\r\n print \"No project found for story: #{}\".format(story_id)\r\n return None","def get_project(db, id):\n \n for element in db:\n if element['project_no'] == id:\n return element\n return None","def find_project(hw, r):\n\n # Search in the current directory for a CMakeLists.txt file that\n # contains something like the given project.\n cmd = \"find . -name CMakeLists.txt -exec grep -Hi {0} {{}} \\; | grep -i project\".format(hw)\n p = Popen(cmd, shell=True, stdout=PIPE)\n out = p.stdout.read()\n p.stdout.close()\n p.wait()\n\n # Transform the output into something readable.\n for i in out:\n found = i.split(':')\n \n # Scrub the path name\n path = os.path.dirname(found[0])[2:]\n if not path:\n path = \"top-level directory\"\n else:\n path = \"directory '{0}'\".format(path)\n r.note(\" possible candidate in the {0}\".format(path))","def load_story(self, story_id):\r\n story_url = \"https://www.pivotaltracker.com/services/v3/projects/{}/stories/{}\".format(self.project_id, story_id)\r\n\r\n resposne = _perform_pivotal_get(story_url)\r\n # print resposne.text\r\n if resposne.status_code == 404:\r\n # Not Found\r\n return None\r\n else:\r\n #Found, parsing story\r\n root = ET.fromstring(resposne.text)\r\n return Story.from_node(root)","def get_project(self, name=None):\n if not name:\n name = self.get_project_name()\n projects = self.get_projects()\n for p in projects:\n if p.name == name:\n return p\n raise NotFound(name)","def find_project(self, value, key=\"name\"):\n if not value:\n return\n if key.lower() not in (\"name\", \"id\"):\n raise ValueError()\n\n if key == \"name\" and not getattr(self, \"projects\", None):\n self.get_projects()\n elif key == \"id\" and not getattr(self, \"projects\", None):\n return self.get_project(value)\n\n try:\n if key.lower() == \"name\":\n return self.projects[self._project_indices_by_name[value]]\n elif key.lower() == \"id\":\n return self.projects[self._project_indices_by_id[value]]\n except KeyError:\n self.logger.debug(\"Project {}: {} not found\".format(key, value))","def get_story(self, project, filter):\n resource = \"projects/{0:d}/stories\".format(project.id)\n params = {\n \"fields\": Story.FIELDS,\n \"filter\": \"type:feature,chore,bug {0}\".format(filter),\n \"limit\": 1\n }\n stories = self._request(\"get\", resource, params=params)\n\n if len(stories) == 1:\n ret_val = Story(stories[0])\n else:\n ret_val = None\n\n return ret_val","def get_project(self, id):\n for project in self.projects:\n if project.id == int(id):\n ret_val = project\n break\n else:\n ret_val = None\n\n return ret_val","def load_story(self, story_id):\n story_url = \"https://www.pivotaltracker.com/services/v5/projects/{}/stories/{}\".format(self.project_id, story_id)\n\n\n try:\n response = _perform_pivotal_get(story_url)\n return Story.from_json(response)\n except requests.HTTPError as e:\n if e.response.status_code == 404:\n # Not Found\n return None\n raise","def getProjectByName(self, name):\n\n for project in self.__projects:\n if project.getName() == name:\n return project\n\n return None","def get_project(self, name=None):\n if not name:\n if not self.select_project:\n log.error(\"no default project name specified\")\n return\n name = self.select_project\n\n if name in self.projects:\n return self.projects[name]\n\n log.debug( \"project {} not found in {} projects \".format(name, len(self.projects)) )\n return None","def find_best_match(worktree, token):\n possibilities = [x.src for x in worktree.projects]\n matches = difflib.get_close_matches(token, possibilities, cutoff=0)\n if matches:\n closest_src = matches[0]\n return worktree.get_project(closest_src).path\n return None","def game_from_team_name(games, team_name, verbose=False):\n for game in games:\n teams = teams_from_game(game)\n if team_name in teams:\n if verbose:\n print(f\"found {team_name} game\")\n return game\n if verbose:\n print(f\"{team_name} game NOT found\")\n return None","def get(self, story_id):","def get(self, name):\n try:\n return self.projects[name]\n except KeyError:\n print(\"No project called %s was found\" %name)","def searchClientProject(self, name):\n for client in self.getClients():\n try:\n for project in self.getClientProjects(client['id']):\n if project['name'] == name:\n return project\n except Exception:\n continue\n\n print('Could not find client by the name')\n return None","def get_story_by_name(self, story_name):\n return Story.get_by_name(story_name)","def _get_target_version_by_name(jira, conf, name):\n versions = jira.project_versions(conf.JIRA['project'])\n for version in versions:\n if getattr(version, 'name') == name:\n return version\n\n return None","def get_project_data(project_id):\n projects = wf.cached_data('projects', None, max_age=0)\n\n # Loop through projects and return project with a match\n for project in projects:\n if int(project['id']) == int(project_id):\n return project","def fetch_project(search_info):\n search = search_collection.find_one({\"_id\": SEARCH_ID})\n user = user_collection.find_one({\"_id\": search_info[\"USER_ID\"]})\n user_bookmarks = user[\"bookmarks\"]\n user_contributions = user[\"contributions\"]\n user_outgoing = user[\"outgoing\"]\n try:\n project_id_list = search[search_info[\"search_query\"]]\n except KeyError:\n project_id_list = None\n except AttributeError:\n project_id_list = None\n if project_id_list != None:\n projects_list = list()\n for id in project_id_list:\n project = project_collection.find_one({\"_id\": id})\n if project == None:\n continue\n if user_bookmarks == None:\n project[\"bookmark\"] = False\n else:\n project[\"bookmark\"] = True if id in user_bookmarks else False\n if user_outgoing == None:\n project[\"contribution\"] = False\n\n else:\n project[\"contribution\"] = True if id in user_outgoing else False\n projects_list.append(project)\n return projects_list\n else:\n return []","def get_project_id_by_name(self, name):\n\n for project in self.api.state['projects']:\n if project['name'] == name:\n return project['id']\n\n return None","def _get_story(self, article):\n # Get similar Articles by tag, sorted by most similar descending.\n similar = article.tags.similar_objects()\n similar = list(filter(\n lambda item: self._filter_similar_articles(\n article=item, compare=article\n ),\n similar\n ))\n if similar:\n return similar[0].story\n\n # If no similar articles were found, create a new story.\n return Story.objects.create()","def get_or_create_project(group, project_label):\n\n print(f\"Looking for prject.label {project_label}\")\n projects = group.projects.find(f\"label={project_label}\")\n if len(projects) > 0:\n print(f\"Found it.\")\n project = projects[0]\n print(f\"project.label {project.label}\")\n print(f\"project.id {project.id}\")\n else:\n print(\"Project not found - Creating it.\")\n project = group.add_project(label=f\"{project_label}\")\n print(f\"project.label {project.label}\")\n print(f\"project.id {project.id}\")\n return project","def get_project(self, i):\r\n return self.__projects[i]","def test_find_project(self):\n result = Project.objects.find(\n ['test'], project_type=PROJECT_TYPE_PROJECT\n )\n self.assertEqual(len(result), 1)\n self.assertEqual(result[0], self.project)","def parse_one_project(self, args, project_arg):\n project = self.linguist_worktree.get_linguist_project(project_arg, raises=True)\n return [project]","def project_or_fund(self):\n if self.category == Account.PROJECT:\n return self.project_set.first()\n else:\n return self.campaign_set.first()","def get_project(self, project):\n project_name = project\n\n try:\n # FIXME: project should be an integer or str, no both\n project_id = int(project)\n except ValueError:\n project_id = None\n\n try:\n # Find the first project occurrence\n project_found = next(p for p in self.get_projects() if p[\"id\"] == project_id\n or p[\"name\"] == project_name)\n # FIXME: use namedtuple instead? create a self.project = dict()?\n self.project_name = project_found[\"name\"]\n self.project_id = project_found[\"id\"]\n self.project_address = \"projects/%s/\" % self.project_id\n except StopIteration:\n logger.error(\"Project %s not found\" % project)\n raise KeyError","def process_project(self, project_name):\n self.logging.debug('Retrieving project %s..', project_name)\n\n try:\n project = self.get_lp_client().projects[project_name]\n except KeyError:\n self.logging.error(\n \"Project %s wasn't found. Skipped..\",\n project_name\n )\n else:\n if project:\n self.logging.debug(\n 'Retrieving active milestone %s..',\n self.get_new_milestone_name()\n )\n\n new_milestone = project.getMilestone(\n name=self.get_new_milestone_name()\n )\n self.get_stats()[project.name] = {}\n\n for old_milestone_name in self.get_old_milestone_names():\n if self.is_limit_achived():\n break\n\n self.process_milestone_on_project(\n project, old_milestone_name, new_milestone\n )\n\n else:\n self.logging.debug(\n \"Project %s wasn't found. Skipped..\",\n project_name\n )","def get_project_or_study(obj_type, obj_id):\n \n response = None\n\n try:\n if obj_type not in set([\"projects\", \"studies\"]):\n raise Exception(\"Invalid object type specified\")\n\n files_d = {}\n files_d.update(file_dict[obj_type][\"valid\"])\n files_d.update(file_dict[obj_type][\"invalid\"])\n\n if obj_id in files_d.keys():\n json_file = data_dir + files_d[obj_id]\n if os.path.exists(json_file):\n response = get_response(open(json_file, \"r\").read())\n else:\n response = get_response(not_found_json, status=404)\n else:\n if obj_id == \"NA\": # endpoint not implemented simulation,\n # return 501 instead of 404\n response = get_response(not_found_json, status=501)\n else: \n response = get_response(not_found_json, status=404)\n\n except Exception as e:\n response_body = '''{\"message\": \"invalid resource '%s'\"}''' % obj_type\n response = get_response(response_body, status=400)\n \n return response","def find_issue_in_target(connection, issue):\n check_jql = 'project = %s and \"SPIN Issue ID\" ~ %s' % (DST_PROJECT, issue.key)\n\n return find_one_issue(connection, check_jql)","def get_project_id(group, name):\n response = urllib.request.urlopen(\"https://abf.io/api/v1/search.json?type=projects&query=\" + name)\n decode = response.read().decode(\"UTF-8\")\n projects = json.loads(decode)['results']['projects']\n projects = [x for x in projects if \"fullname\" in x and x['fullname'] == group + \"/\" + name]\n if len(projects) > 0:\n project = projects[0]\n return project['id'], project['git_url']\n else:\n return None","def find_project(xp, **kwargs):\n path = '/search/project'\n if 'schema' not in kwargs:\n kwargs['schema'] = ProjectCollection.SCHEMA\n tag_class = {'collection': ProjectCollection, 'project': ROProject}\n return _find(path, xp, tag_class, **kwargs)","def get_project_name(projects, project_id):\n for project in projects:\n if project['id'] == project_id:\n return project['name']","def facade_retrieve_side_effect(*args, **kwargs):\r\n if args[0] == Project:\r\n return Project(\"GTID\", [])\r\n else:\r\n raise LookupError(\"team lookup error\")","def has_story_title(self, title, stories):\n\tfor story in stories:\n\t break\n\telse:\n\t self.fail(\"Story with title '%s' not found\" % title)","def has_story_title(self, title, stories):\n\tfor story in stories:\n\t break\n\telse:\n\t self.fail(\"Story with title '%s' not found\" % title)","def test_find_multi_one(self):\n result = Project.objects.find(['project', 'ThisFails'])\n self.assertEqual(len(result), 1)\n self.assertEqual(result[0], self.project)","def __find_workplace (label):\n from data import workplace as mod\n workplaces = mod.load ( )\n \n for workplace in workplaces.get_all ( ):\n if label == workplace.label:\n return workplace\n else:\n raise Exception ('Aplikacija ne pozna delovisca: ' + label)","def get_project(self, name=None, project_id=None):\n if project_id:\n return self.http_call(\n \"get\", url=f\"{self.base_url}/projects/{project_id}\"\n ).json()\n elif name:\n try:\n return next(p for p in self.get_projects() if p[\"name\"] == name)\n except StopIteration:\n # Project not found\n return None\n else:\n raise ValueError(\"Must provide either a name or project_id\")","def project(request, proj_id=None, scenario_id=None):\n\n if proj_id:\n project = get_object_or_404(Project, id=proj_id)\n\n if project.user != request.user and project.is_private:\n raise Http404\n\n return render_to_response('home/home.html', get_context(request))","def _resolve_scene(self, name):\n all_scenes = self.__try_to_get(self.bridge.scenes)\n if not all_scenes:\n return None\n for scene in self.bridge.scenes:\n if scene.name == name:\n return scene\n return None","def __project(uri):\n uri = uri.lower().split('/')[-1].split('_')[0]\n project = {\n 'as': \"ICOS\",\n 'es': \"ICOS\",\n 'os': \"ICOS\",\n 'neon': 'NEON',\n 'ingos': 'INGOS',\n 'fluxnet': 'FLUXNET'\n }\n\n if uri in project:\n return project.get(uri)\n else:\n return 'other'","def get_project(arn=None):\n pass","def get_project_by_title(title):\n QUERY = \"\"\"\n SELECT * FROM Projects WHERE title = ?\n \"\"\"\n\n db_cursor.execute(QUERY, (title,))\n row = db_cursor.fetchone()\n print \"Project: %s \\nID: %s \\nTitle: %s \\nDescription: %s \\nMax Grade: %s\" % (\n title, row[0], row[1], row[2], row[3])","def test_find_description_multi_one(self):\n result = Project.objects.find(['xxx', 'ThisFails'], project_type=None)\n self.assertEqual(len(result), 1)\n self.assertEqual(result[0], self.category_top)","def find_goal_with_name(name: str, goals: Union[Dict[CGTGoal, List[CGTGoal]], List[CGTGoal]]):\n if isinstance(goals, dict):\n for goal_1, goal_2 in goals.items():\n if goal_1.name == name:\n return goal_1\n for g in goal_2:\n if g.name == name:\n return g\n\n elif isinstance(goals, list):\n for goal in goals:\n if goal.name == name:\n return goal","def story(self):\n get = self.request.GET\n if not get:\n return Story.objects.latest(\"start_date\")\n story_name = get.get(\"story_name\", \"\")\n return Story.objects.get(name=story_name)","def get_story():\n msg = \"Where would you like to go today? We can go to the zoo to see \" + \\\n \"some animals, or we can go to the movies and watch a film.\"\n speak(wrap_text(msg, 'GoodNews'))\n s = None\n while not s:\n inp = get_input()\n resp = parse(inp, WKSPACE_ID)\n intent = get_intent(resp)\n if intent == 'movie':\n s = movie_story_factory()\n elif intent == 'zoo':\n s = zoo_story_factory()\n elif intent == 'pet store':\n pass\n else:\n msg = \"I'm sorry, I didn't understand what you said. Could you \" + \\\n \"try repeating yourself or rephrasing?\"\n speak(wrap_text(msg, 'Apology'))\n\n return s","def get_projector(self, key_string):\n if key_string in self._run_analysis_model.projectors:\n return self._run_analysis_model.projectors[key_string][0]\n return None","def get_project(self, project_id):\n projects = self._get_all_projects()\n\n for project in projects:\n if project.Id is project_id:\n return project.Project","def find(self, task_id):\n for task_obj in self.stack:\n if task_obj.id.startswith(task_id):\n return task_obj\n\n raise LookupError(\"No such task in stack: '{}'\".format(task_id))","def find_item(name, currentRoom):\n for i in currentRoom.contents:\n if i.name == name:\n return i\n\n return None","def setup_project(project_name):\n\n project_arn = ''\n for project in device_farm.list_projects()['projects']:\n if project['name'] == project_name:\n print('{} project already exists'.format(project_name))\n project_arn = project['arn']\n else:\n print(\n '{} project is not available, creating new one'.format(\n project_name\n )\n )\n project_arn = create_project(project_name)\n\n return project_arn\n\n raise KeyError('Problem finding project %r' % project_name)","def _get_projects(project_ids):\n if _ALL in project_ids:\n return projects_lib.get_all()\n return projects_lib.get_selective(project_ids)","def parse_no_project(self, args):\n worktree = self.linguist_worktree.worktree\n parser = qisys.parsers.WorkTreeProjectParser(worktree)\n worktree_projects = parser.parse_no_project(args)\n if not worktree_projects:\n raise CouldNotGuessProjectName()\n # WorkTreeProjectParser returns None or a list of one element\n worktree_project = worktree_projects[0]\n linguist_project = new_linguist_project(self.linguist_worktree, worktree_project)\n if not linguist_project:\n raise CouldNotGuessProjectName()\n return self.parse_one_project(args, linguist_project.name)","def _find_project_by_import():\n try:\n import _databand_project\n\n return abs_join(_databand_project.__file__, \"..\")\n except ImportError:\n dbnd_log_init_msg(\"Can't import `_databand_project` marker.\")\n return None","def test_search_by_skill(self):\n resp = self.client.get(\n reverse('profiles:search_by_skill',\n kwargs={'skill': 'Django developer'}))\n\n # projects that matches the search term Django developer\n self.assertContains(resp, 'Test Project')\n self.assertContains(\n resp, '1 results were found with: Django developer'\n )\n self.assertContains(resp, str(self.project))\n # various page information\n self.assertContains(resp, 'Projects')\n self.assertContains(resp, 'All Needs')\n self.assertContains(resp, 'Projects')\n\n self.assertTemplateUsed('homepage.html')","def get_project():\n\n title = request.args.get('title')\n if not title:\n return \"Please enter a title!\"\n\n project = hackbright.get_project_by_title(title)\n\n grades = hackbright.get_grades_by_title(title)\n\n if not project:\n return \"There is no project with title \\\"{}\\\".\".format(title)\n\n title, description, max_grade = project\n return render_template(\"project_info.html\",\n title=title,\n description=description,\n max_grade=max_grade,\n grades=grades)","def FindTool(self, tool_id):\r\n \r\n for item in self._items:\r\n if item.id == tool_id:\r\n return item\r\n \r\n return None","def get_project(project_id):\n return Project.objects.get(id=project_id)","def facade_retrieve_side_effect(*args, **kwargs):\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 raise LookupError(\"team lookup error\")","def search(request):\n if 'find_project' in request.GET and request.GET['find_project']:\n project_name=request.GET.get('find_project')\n \n searched_project=Project.search_project(project_name)\n \n return render(request,'search_results.html',{'searched_project':searched_project})","def test_workflows_find_one_get(self):\n pass","def _get_traj_by_id(self, itsid):\n for traj in self._trajlist:\n if traj.id == itsid:\n return traj\n return None","def find_by_name(our_data,name):\n for album in our_data:\n if album['album'] == name:\n return album\n return None","def test_team_template_folders_find_one_get(self):\n pass","def find_task(self, task_str):\n task_str = task_str.replace('é', 'e').title()\n task_not_found = True\n custom_quest = False\n if \":\" in task_str:\n task_strs = task_str.split(\":\")\n task_str = task_strs[0]\n quest_str = task_strs[1]\n custom_quest = True\n while task_not_found:\n for task in self.tasks:\n if (task_str == task.reward.title()) or (task_str == task.quest.replace('é', 'e').title()) or (task_str in (reward.title() for reward in task.rewards)) or (task_str in (nickname.title() for nickname in task.nicknames)):\n out_task = task\n task_not_found = False\n if custom_quest:\n out_task = copy.copy(task)\n out_task.quest = quest_str.title()\n return out_task\n break\n if task_not_found:\n raise TaskNotFound()","def findGroove(targ):\n\n global grooveDB\n\n\n \"\"\" If no existing DB we load them from each dir in libpath. \n\n \"\"\"\n\n if not grooveDB:\n grooveDB=[]\n for dir in gbl.autoLib:\n g=loadDB(dir)\n if g:\n grooveDB.append([dir, g])\n\n if not grooveDB: # BS value so we don't keep trying to load\n grooveDB = [['', {}]]\n\n\n \"\"\" Search the dict for a match. \n\n grooveDir[] structure ... [ [dirname, g], [] ]\n\n g ... is a dict. Key = filename, data = list of grooves\n\n RETURN: Lib-Filename if found\n None if not found\n \"\"\"\n\n for dir, g in grooveDB:\n for filename, namelist in g.items():\n if targ in namelist:\n return os.path.join(dir,filename)\n\n return None","def getTag(self, tag_to_find):\n tree = xml.parse(\"lesson\" + str(self.__id_lesson) + \".xml\")\n root = tree.getroot()\n for tag in root:\n if tag.tag == tag_to_find:\n return tag.text","def get_project(self, project_id):\n res = self.conn.cursor().execute(\"SELECT * FROM projects where id=?\", (project_id,))\n return res.fetchone()","def get_pull(self, story):\n story = story['id'] if isinstance(story, dict) else story\n\n activity = self.get_activity(story)\n\n for act in activity:\n if act['kind'] == 'pull_request_create_activity':\n for change in act['changes']:\n if change['kind'] == 'pull_request':\n return change['new_values']['number']\n\n return None","def _find_duplicate(stacktrace: str) -> Optional[Issue]:\n for issue in TAGBOT_ISSUES_REPO.get_issues(state=\"all\"):\n m = re.search(\"(?s)```py\\n(.*)\\n```\", issue.body)\n if not m:\n continue\n if _is_duplicate(stacktrace, m[1]):\n return issue\n return None","def project_by_title(project_title):\n\n QUERY = \"\"\"SELECT title, description \n FROM Projects \n WHERE title = ?\"\"\"\n\n db_cursor.execute(QUERY, (project_title,))\n\n answer = db_cursor.fetchone() \n \n print answer[0], \":\", answer[1]\n # print \"Title: %s, Description: %s\" % answer[0], answer[1]","def get_project(name):\n tx = cypher_transaction()\n query = \"\"\"MATCH (n:project) WHERE n.name={project_name} RETURN n\"\"\"\n tx.append(query, parameters={'project_name': name})\n result = tx.commit()\n\n # Returns a result of the form [[\n # Record(\n # columns=('n',),\n # values=(Node('http://localhost:7474/db/data/node/233'),)\n # )\n # ]]\n return _first(result)[0].values[0]","def find_build(job, commit):\n # the last 100 jobs are returned by default. depth=1 is so build objects are populated\n builds = server.get_job_info(job, depth=1)[\"builds\"]\n for build in builds:\n build_commit = next((action[\"lastBuiltRevision\"][\"SHA1\"]\n for action in build[\"actions\"]\n if \"lastBuiltRevision\" in action),\n None)\n if build_commit == commit:\n return build\n return None","def find_goal(self, concl, goal_id):\n prf = self.prf\n try:\n for n in goal_id:\n for item in prf.items[:n]:\n if item.th is not None and item.th.can_prove(concl):\n return item.id\n prf = prf.items[n].subproof\n except (AttributeError, IndexError):\n raise TacticException()","def get_target_workspace(current_workspace, open_workspaces, target_workspaces):\n logger.debug('get_target_workspace(current: %s, open: %s, targets: %s)',\n current_workspace, open_workspaces, target_workspaces)\n\n if len(target_workspaces) <= 0:\n logger.debug('No workspaces given - defaulting to current workspace %s',\n current_workspace)\n return current_workspace\n\n if current_workspace in target_workspaces:\n logger.debug('Current workspace is a target - going to next target')\n target_index = target_workspaces.index(current_workspace) + 1\n target_index %= len(target_workspaces)\n return target_workspaces[target_index]\n\n logger.debug(\"Current workspace isn\\'t a target - going to first open \"\n \"target\")\n for ws in target_workspaces:\n if ws in open_workspaces:\n logger.debug('Found open target %s - going there', ws)\n return ws\n\n logger.debug('No targets are open - going to the first')\n return target_workspaces[0]","def test_search_project(self):\n title = Project.search_project(\"dee\")\n self.assertTrue(len(title) > 0)","def projects(self):\n sql = \"\"\"SELECT project\n FROM barcodes.sample\n LEFT JOIN barcodes.project_sample_sets USING (sample_set_id)\n LEFT JOIN barcodes.project USING (project_id)\n WHERE sample_id = %s\n UNION\n SELECT project\n FROM barcodes.project_samples\n LEFT JOIN barcodes.project USING (project_id)\n WHERE sample_id = %s\n \"\"\"\n with pm.sql.TRN:\n pm.sql.TRN.add(sql, [self.id, self.id])\n projects = pm.sql.TRN.execute_fetchflatten()\n return None if not projects else projects","def getissue(s,refconvdf,issuetaglist):\r\n #check if empty\r\n taglist=gettotaltags(s,refconvdf)\r\n issuename=list(set(issuetaglist.name.values).intersection(taglist)) \r\n if not issuename:\r\n return 'None'\r\n else:\r\n return issuename","def get_project_index(self, project=None):\n if type(project) is Project:\n for i, p in enumerate(self.project_list):\n if project.project_id() == p.project_id():\n return i\n\n return False","def test_returns_404_if_project_doesnt_exist(self):\n # Act\n response = self.client.get(\n \"/api/v2/projects/queries/999/similar-projects/\",\n headers={\"Authorization\": self.user_session_token},\n )\n self.assertEqual(response.status_code, 404)","def test_find_by_project(self):\n reviews = Review.find_by_project(self.new_project)\n self.assertTrue(len(reviews) > 0)","def _find_koji_task_result(package, rpm_list):\n for rpm in rpm_list:\n if package == _get_koji_task_result_package_name(rpm):\n return rpm\n return None","def GetProject(args):\n return args.project or properties.VALUES.core.project.GetOrFail()","async def exec_find(self, url: Url, alias: str,\n name: str, cls_name: str,\n features: str, config_id: int):\n await self.responses[url]\n await self.find_stories(\n url,\n alias,\n self.responses[url],\n name,\n cls_name,\n features,\n config_id\n )","def test_get_past(self, rf, projects):\n # get queryset\n request = rf.get(\"/projects/my\")\n view = MyProjectListView()\n view.setup(request)\n view.dispatch(request)\n view.get_queryset()\n qs = view.get_past()\n\n # slavic working group grant ended so it is \"past\"\n assert projects[\"slavic\"] in qs\n assert projects[\"derrida\"] not in qs\n assert projects[\"pliny\"] not in qs\n assert projects[\"ocampo\"] not in qs","def UpdateStory(self, story):\n if story.GetStoryId() is None:\n return None\n story_xml = story.ToXml()\n res = self._Api('stories/%d' % story.GetStoryId(), 'PUT', story_xml)\n\n if len(story.GetTasks()) < 1:\n return Story.FromXml(res.decode(\"utf-8\"))\n\n for task in story.GetTasks():\n path = 'stories/%d' % story.GetStoryId()\n path += task.GetSubPath()\n res = self._Api(path, task.GetMethod(), task.ToXml())\n\n return self.GetStory(story.GetStoryId())","def find_project_by_id(self, project_id):\n try:\n with open('{}/{}'.format(self._storage_location, project_id)) as project_file:\n name = project_file.readline().rstrip('\\n')\n description = project_file.readline().rstrip('\\n')\n members = project_file.readline().rstrip('\\n').split(',')\n documents = project_file.readline().rstrip('\\n').split(',')\n project = Project(name, description, members, documents)\n except:\n raise ValueError(\"No such project\")\n return project","def find(self, task_id):\n _structs = [\n self.stack,\n self.backlog,\n self.blocked,\n self.sleeping,\n ]\n for struct in _structs:\n try:\n task_obj = struct.find(task_id)\n return task_obj\n except LookupError:\n # not found; try next structure\n continue\n\n # the graveyard is just a list; search it\n for task_obj in self.graveyard:\n if task_obj.id.startswith(task_id):\n return task_obj\n\n raise LookupError(\"No such task: '{}'\".format(task_id))","def update_project(project_info):\n old_skills = set(\n project_collection.find_one({\"_id\": project_info[\"_id\"]})[\"projectSkills\"]\n )\n new_skills = set(project_info[\"projectSkills\"])\n add_to_search = list(new_skills - old_skills)\n remove_to_search = list(old_skills - new_skills)\n project_collection.find_one_and_update(\n {\"_id\": project_info[\"_id\"]},\n {\n \"$set\": {\n \"projectUrl\": project_info[\"projectUrl\"],\n \"projectTitle\": project_info[\"projectTitle\"],\n \"projectDescription\": project_info[\"projectDescription\"],\n \"projectOpenings\": project_info[\"projectOpenings\"],\n \"projectSkills\": project_info[\"projectSkills\"],\n }\n },\n upsert=False,\n )\n search_data = search_collection.find_one({\"_id\": SEARCH_ID})\n for add in add_to_search:\n try:\n value_list = search_data[add]\n value_list.append(project_info[\"_id\"])\n search_collection.find_one_and_update(\n {\"_id\": SEARCH_ID},\n {\n \"$set\": {\n add: value_list,\n }\n },\n upsert=False,\n )\n except AttributeError:\n value_list = list()\n value_list.append(project_info[\"_id\"])\n search_collection.find_one_and_update(\n {\"_id\": SEARCH_ID},\n {\n \"$set\": {\n add: value_list,\n }\n },\n upsert=False,\n )\n except KeyError:\n value_list = list()\n value_list.append(project_info[\"_id\"])\n search_collection.find_one_and_update(\n {\"_id\": SEARCH_ID},\n {\n \"$set\": {\n add: value_list,\n }\n },\n upsert=False,\n )\n for remove in remove_to_search:\n try:\n value_list = search_data[remove]\n value_list.remove(project_info[\"_id\"])\n search_collection.find_one_and_update(\n {\"_id\": SEARCH_ID},\n {\n \"$set\": {\n remove: value_list,\n }\n },\n upsert=False,\n )\n except:\n raise ValueError(\n f\"This is never gone be executed, find remove_tag {remove}\"\n )","def _TopicSearchHelper(self, topic_list, topic_id):\n for topic_obj in topic_list:\n if topic_obj.topic_id == topic_id:\n return topic_obj\n elif topic_obj.children:\n children_result = self._TopicSearchHelper(topic_obj.children, topic_id)\n\n if children_result:\n return children_result\n\n return None","def test_get_current(self, rf, projects):\n # get queryset\n request = rf.get(\"/projects/my\")\n view = MyProjectListView()\n view.setup(request)\n view.dispatch(request)\n view.get_queryset()\n qs = view.get_current()\n\n # slavic working group grant ended so it is \"past\"\n assert projects[\"derrida\"] in qs\n assert projects[\"pliny\"] in qs\n assert projects[\"ocampo\"] in qs\n assert projects[\"slavic\"] not in qs","def get_project(self):\n project_id = self.kwargs['project_id']\n try:\n project = Project.objects.get(pk=project_id)\n except ObjectDoesNotExist:\n raise ObjectNotFound('Not found')\n contributors = CustomUser.objects.filter(contributor__project=project.pk)\n if self.request.user not in contributors:\n raise ObjectNotFound('Not found')\n return project","def get_project(self):\n project_id = self.kwargs['project_id']\n try:\n project = Project.objects.get(pk=project_id)\n except ObjectDoesNotExist:\n raise ObjectNotFound('Not found')\n contributors = CustomUser.objects.filter(contributor__project=project.pk)\n if self.request.user not in contributors:\n raise ObjectNotFound('Not found')\n return project","def _determine_default_project(project=None):\n if project is None:\n project = _get_gcd_project()\n\n if project is None:\n project = _helpers._determine_default_project(project=project)\n\n return project","def for_date(filter_id, date):\n try:\n return ProjectSummary.objects.get(filter_id=filter_id, created_on=date)\n except ProjectSummary.DoesNotExist:\n return None","def findWhere(cls, args):\n return cls.search(args)[0][0]","def test_get_projects_returns_projects(fc: fetcher.Fetcher):\n projects = fc.get_projects()\n assert isinstance(projects, list)\n assert isinstance(projects[0], models.Project)"],"string":"[\n \"def find_project_for_story(story_id):\\r\\n\\r\\n for project in Project.all():\\r\\n story = project.load_story(story_id)\\r\\n if story is not None:\\r\\n return project\\r\\n\\r\\n #Not found\\r\\n print \\\"No project found for story: #{}\\\".format(story_id)\\r\\n return None\",\n \"def get_project(db, id):\\n \\n for element in db:\\n if element['project_no'] == id:\\n return element\\n return None\",\n \"def find_project(hw, r):\\n\\n # Search in the current directory for a CMakeLists.txt file that\\n # contains something like the given project.\\n cmd = \\\"find . -name CMakeLists.txt -exec grep -Hi {0} {{}} \\\\; | grep -i project\\\".format(hw)\\n p = Popen(cmd, shell=True, stdout=PIPE)\\n out = p.stdout.read()\\n p.stdout.close()\\n p.wait()\\n\\n # Transform the output into something readable.\\n for i in out:\\n found = i.split(':')\\n \\n # Scrub the path name\\n path = os.path.dirname(found[0])[2:]\\n if not path:\\n path = \\\"top-level directory\\\"\\n else:\\n path = \\\"directory '{0}'\\\".format(path)\\n r.note(\\\" possible candidate in the {0}\\\".format(path))\",\n \"def load_story(self, story_id):\\r\\n story_url = \\\"https://www.pivotaltracker.com/services/v3/projects/{}/stories/{}\\\".format(self.project_id, story_id)\\r\\n\\r\\n resposne = _perform_pivotal_get(story_url)\\r\\n # print resposne.text\\r\\n if resposne.status_code == 404:\\r\\n # Not Found\\r\\n return None\\r\\n else:\\r\\n #Found, parsing story\\r\\n root = ET.fromstring(resposne.text)\\r\\n return Story.from_node(root)\",\n \"def get_project(self, name=None):\\n if not name:\\n name = self.get_project_name()\\n projects = self.get_projects()\\n for p in projects:\\n if p.name == name:\\n return p\\n raise NotFound(name)\",\n \"def find_project(self, value, key=\\\"name\\\"):\\n if not value:\\n return\\n if key.lower() not in (\\\"name\\\", \\\"id\\\"):\\n raise ValueError()\\n\\n if key == \\\"name\\\" and not getattr(self, \\\"projects\\\", None):\\n self.get_projects()\\n elif key == \\\"id\\\" and not getattr(self, \\\"projects\\\", None):\\n return self.get_project(value)\\n\\n try:\\n if key.lower() == \\\"name\\\":\\n return self.projects[self._project_indices_by_name[value]]\\n elif key.lower() == \\\"id\\\":\\n return self.projects[self._project_indices_by_id[value]]\\n except KeyError:\\n self.logger.debug(\\\"Project {}: {} not found\\\".format(key, value))\",\n \"def get_story(self, project, filter):\\n resource = \\\"projects/{0:d}/stories\\\".format(project.id)\\n params = {\\n \\\"fields\\\": Story.FIELDS,\\n \\\"filter\\\": \\\"type:feature,chore,bug {0}\\\".format(filter),\\n \\\"limit\\\": 1\\n }\\n stories = self._request(\\\"get\\\", resource, params=params)\\n\\n if len(stories) == 1:\\n ret_val = Story(stories[0])\\n else:\\n ret_val = None\\n\\n return ret_val\",\n \"def get_project(self, id):\\n for project in self.projects:\\n if project.id == int(id):\\n ret_val = project\\n break\\n else:\\n ret_val = None\\n\\n return ret_val\",\n \"def load_story(self, story_id):\\n story_url = \\\"https://www.pivotaltracker.com/services/v5/projects/{}/stories/{}\\\".format(self.project_id, story_id)\\n\\n\\n try:\\n response = _perform_pivotal_get(story_url)\\n return Story.from_json(response)\\n except requests.HTTPError as e:\\n if e.response.status_code == 404:\\n # Not Found\\n return None\\n raise\",\n \"def getProjectByName(self, name):\\n\\n for project in self.__projects:\\n if project.getName() == name:\\n return project\\n\\n return None\",\n \"def get_project(self, name=None):\\n if not name:\\n if not self.select_project:\\n log.error(\\\"no default project name specified\\\")\\n return\\n name = self.select_project\\n\\n if name in self.projects:\\n return self.projects[name]\\n\\n log.debug( \\\"project {} not found in {} projects \\\".format(name, len(self.projects)) )\\n return None\",\n \"def find_best_match(worktree, token):\\n possibilities = [x.src for x in worktree.projects]\\n matches = difflib.get_close_matches(token, possibilities, cutoff=0)\\n if matches:\\n closest_src = matches[0]\\n return worktree.get_project(closest_src).path\\n return None\",\n \"def game_from_team_name(games, team_name, verbose=False):\\n for game in games:\\n teams = teams_from_game(game)\\n if team_name in teams:\\n if verbose:\\n print(f\\\"found {team_name} game\\\")\\n return game\\n if verbose:\\n print(f\\\"{team_name} game NOT found\\\")\\n return None\",\n \"def get(self, story_id):\",\n \"def get(self, name):\\n try:\\n return self.projects[name]\\n except KeyError:\\n print(\\\"No project called %s was found\\\" %name)\",\n \"def searchClientProject(self, name):\\n for client in self.getClients():\\n try:\\n for project in self.getClientProjects(client['id']):\\n if project['name'] == name:\\n return project\\n except Exception:\\n continue\\n\\n print('Could not find client by the name')\\n return None\",\n \"def get_story_by_name(self, story_name):\\n return Story.get_by_name(story_name)\",\n \"def _get_target_version_by_name(jira, conf, name):\\n versions = jira.project_versions(conf.JIRA['project'])\\n for version in versions:\\n if getattr(version, 'name') == name:\\n return version\\n\\n return None\",\n \"def get_project_data(project_id):\\n projects = wf.cached_data('projects', None, max_age=0)\\n\\n # Loop through projects and return project with a match\\n for project in projects:\\n if int(project['id']) == int(project_id):\\n return project\",\n \"def fetch_project(search_info):\\n search = search_collection.find_one({\\\"_id\\\": SEARCH_ID})\\n user = user_collection.find_one({\\\"_id\\\": search_info[\\\"USER_ID\\\"]})\\n user_bookmarks = user[\\\"bookmarks\\\"]\\n user_contributions = user[\\\"contributions\\\"]\\n user_outgoing = user[\\\"outgoing\\\"]\\n try:\\n project_id_list = search[search_info[\\\"search_query\\\"]]\\n except KeyError:\\n project_id_list = None\\n except AttributeError:\\n project_id_list = None\\n if project_id_list != None:\\n projects_list = list()\\n for id in project_id_list:\\n project = project_collection.find_one({\\\"_id\\\": id})\\n if project == None:\\n continue\\n if user_bookmarks == None:\\n project[\\\"bookmark\\\"] = False\\n else:\\n project[\\\"bookmark\\\"] = True if id in user_bookmarks else False\\n if user_outgoing == None:\\n project[\\\"contribution\\\"] = False\\n\\n else:\\n project[\\\"contribution\\\"] = True if id in user_outgoing else False\\n projects_list.append(project)\\n return projects_list\\n else:\\n return []\",\n \"def get_project_id_by_name(self, name):\\n\\n for project in self.api.state['projects']:\\n if project['name'] == name:\\n return project['id']\\n\\n return None\",\n \"def _get_story(self, article):\\n # Get similar Articles by tag, sorted by most similar descending.\\n similar = article.tags.similar_objects()\\n similar = list(filter(\\n lambda item: self._filter_similar_articles(\\n article=item, compare=article\\n ),\\n similar\\n ))\\n if similar:\\n return similar[0].story\\n\\n # If no similar articles were found, create a new story.\\n return Story.objects.create()\",\n \"def get_or_create_project(group, project_label):\\n\\n print(f\\\"Looking for prject.label {project_label}\\\")\\n projects = group.projects.find(f\\\"label={project_label}\\\")\\n if len(projects) > 0:\\n print(f\\\"Found it.\\\")\\n project = projects[0]\\n print(f\\\"project.label {project.label}\\\")\\n print(f\\\"project.id {project.id}\\\")\\n else:\\n print(\\\"Project not found - Creating it.\\\")\\n project = group.add_project(label=f\\\"{project_label}\\\")\\n print(f\\\"project.label {project.label}\\\")\\n print(f\\\"project.id {project.id}\\\")\\n return project\",\n \"def get_project(self, i):\\r\\n return self.__projects[i]\",\n \"def test_find_project(self):\\n result = Project.objects.find(\\n ['test'], project_type=PROJECT_TYPE_PROJECT\\n )\\n self.assertEqual(len(result), 1)\\n self.assertEqual(result[0], self.project)\",\n \"def parse_one_project(self, args, project_arg):\\n project = self.linguist_worktree.get_linguist_project(project_arg, raises=True)\\n return [project]\",\n \"def project_or_fund(self):\\n if self.category == Account.PROJECT:\\n return self.project_set.first()\\n else:\\n return self.campaign_set.first()\",\n \"def get_project(self, project):\\n project_name = project\\n\\n try:\\n # FIXME: project should be an integer or str, no both\\n project_id = int(project)\\n except ValueError:\\n project_id = None\\n\\n try:\\n # Find the first project occurrence\\n project_found = next(p for p in self.get_projects() if p[\\\"id\\\"] == project_id\\n or p[\\\"name\\\"] == project_name)\\n # FIXME: use namedtuple instead? create a self.project = dict()?\\n self.project_name = project_found[\\\"name\\\"]\\n self.project_id = project_found[\\\"id\\\"]\\n self.project_address = \\\"projects/%s/\\\" % self.project_id\\n except StopIteration:\\n logger.error(\\\"Project %s not found\\\" % project)\\n raise KeyError\",\n \"def process_project(self, project_name):\\n self.logging.debug('Retrieving project %s..', project_name)\\n\\n try:\\n project = self.get_lp_client().projects[project_name]\\n except KeyError:\\n self.logging.error(\\n \\\"Project %s wasn't found. Skipped..\\\",\\n project_name\\n )\\n else:\\n if project:\\n self.logging.debug(\\n 'Retrieving active milestone %s..',\\n self.get_new_milestone_name()\\n )\\n\\n new_milestone = project.getMilestone(\\n name=self.get_new_milestone_name()\\n )\\n self.get_stats()[project.name] = {}\\n\\n for old_milestone_name in self.get_old_milestone_names():\\n if self.is_limit_achived():\\n break\\n\\n self.process_milestone_on_project(\\n project, old_milestone_name, new_milestone\\n )\\n\\n else:\\n self.logging.debug(\\n \\\"Project %s wasn't found. Skipped..\\\",\\n project_name\\n )\",\n \"def get_project_or_study(obj_type, obj_id):\\n \\n response = None\\n\\n try:\\n if obj_type not in set([\\\"projects\\\", \\\"studies\\\"]):\\n raise Exception(\\\"Invalid object type specified\\\")\\n\\n files_d = {}\\n files_d.update(file_dict[obj_type][\\\"valid\\\"])\\n files_d.update(file_dict[obj_type][\\\"invalid\\\"])\\n\\n if obj_id in files_d.keys():\\n json_file = data_dir + files_d[obj_id]\\n if os.path.exists(json_file):\\n response = get_response(open(json_file, \\\"r\\\").read())\\n else:\\n response = get_response(not_found_json, status=404)\\n else:\\n if obj_id == \\\"NA\\\": # endpoint not implemented simulation,\\n # return 501 instead of 404\\n response = get_response(not_found_json, status=501)\\n else: \\n response = get_response(not_found_json, status=404)\\n\\n except Exception as e:\\n response_body = '''{\\\"message\\\": \\\"invalid resource '%s'\\\"}''' % obj_type\\n response = get_response(response_body, status=400)\\n \\n return response\",\n \"def find_issue_in_target(connection, issue):\\n check_jql = 'project = %s and \\\"SPIN Issue ID\\\" ~ %s' % (DST_PROJECT, issue.key)\\n\\n return find_one_issue(connection, check_jql)\",\n \"def get_project_id(group, name):\\n response = urllib.request.urlopen(\\\"https://abf.io/api/v1/search.json?type=projects&query=\\\" + name)\\n decode = response.read().decode(\\\"UTF-8\\\")\\n projects = json.loads(decode)['results']['projects']\\n projects = [x for x in projects if \\\"fullname\\\" in x and x['fullname'] == group + \\\"/\\\" + name]\\n if len(projects) > 0:\\n project = projects[0]\\n return project['id'], project['git_url']\\n else:\\n return None\",\n \"def find_project(xp, **kwargs):\\n path = '/search/project'\\n if 'schema' not in kwargs:\\n kwargs['schema'] = ProjectCollection.SCHEMA\\n tag_class = {'collection': ProjectCollection, 'project': ROProject}\\n return _find(path, xp, tag_class, **kwargs)\",\n \"def get_project_name(projects, project_id):\\n for project in projects:\\n if project['id'] == project_id:\\n return project['name']\",\n \"def facade_retrieve_side_effect(*args, **kwargs):\\r\\n if args[0] == Project:\\r\\n return Project(\\\"GTID\\\", [])\\r\\n else:\\r\\n raise LookupError(\\\"team lookup error\\\")\",\n \"def has_story_title(self, title, stories):\\n\\tfor story in stories:\\n\\t break\\n\\telse:\\n\\t self.fail(\\\"Story with title '%s' not found\\\" % title)\",\n \"def has_story_title(self, title, stories):\\n\\tfor story in stories:\\n\\t break\\n\\telse:\\n\\t self.fail(\\\"Story with title '%s' not found\\\" % title)\",\n \"def test_find_multi_one(self):\\n result = Project.objects.find(['project', 'ThisFails'])\\n self.assertEqual(len(result), 1)\\n self.assertEqual(result[0], self.project)\",\n \"def __find_workplace (label):\\n from data import workplace as mod\\n workplaces = mod.load ( )\\n \\n for workplace in workplaces.get_all ( ):\\n if label == workplace.label:\\n return workplace\\n else:\\n raise Exception ('Aplikacija ne pozna delovisca: ' + label)\",\n \"def get_project(self, name=None, project_id=None):\\n if project_id:\\n return self.http_call(\\n \\\"get\\\", url=f\\\"{self.base_url}/projects/{project_id}\\\"\\n ).json()\\n elif name:\\n try:\\n return next(p for p in self.get_projects() if p[\\\"name\\\"] == name)\\n except StopIteration:\\n # Project not found\\n return None\\n else:\\n raise ValueError(\\\"Must provide either a name or project_id\\\")\",\n \"def project(request, proj_id=None, scenario_id=None):\\n\\n if proj_id:\\n project = get_object_or_404(Project, id=proj_id)\\n\\n if project.user != request.user and project.is_private:\\n raise Http404\\n\\n return render_to_response('home/home.html', get_context(request))\",\n \"def _resolve_scene(self, name):\\n all_scenes = self.__try_to_get(self.bridge.scenes)\\n if not all_scenes:\\n return None\\n for scene in self.bridge.scenes:\\n if scene.name == name:\\n return scene\\n return None\",\n \"def __project(uri):\\n uri = uri.lower().split('/')[-1].split('_')[0]\\n project = {\\n 'as': \\\"ICOS\\\",\\n 'es': \\\"ICOS\\\",\\n 'os': \\\"ICOS\\\",\\n 'neon': 'NEON',\\n 'ingos': 'INGOS',\\n 'fluxnet': 'FLUXNET'\\n }\\n\\n if uri in project:\\n return project.get(uri)\\n else:\\n return 'other'\",\n \"def get_project(arn=None):\\n pass\",\n \"def get_project_by_title(title):\\n QUERY = \\\"\\\"\\\"\\n SELECT * FROM Projects WHERE title = ?\\n \\\"\\\"\\\"\\n\\n db_cursor.execute(QUERY, (title,))\\n row = db_cursor.fetchone()\\n print \\\"Project: %s \\\\nID: %s \\\\nTitle: %s \\\\nDescription: %s \\\\nMax Grade: %s\\\" % (\\n title, row[0], row[1], row[2], row[3])\",\n \"def test_find_description_multi_one(self):\\n result = Project.objects.find(['xxx', 'ThisFails'], project_type=None)\\n self.assertEqual(len(result), 1)\\n self.assertEqual(result[0], self.category_top)\",\n \"def find_goal_with_name(name: str, goals: Union[Dict[CGTGoal, List[CGTGoal]], List[CGTGoal]]):\\n if isinstance(goals, dict):\\n for goal_1, goal_2 in goals.items():\\n if goal_1.name == name:\\n return goal_1\\n for g in goal_2:\\n if g.name == name:\\n return g\\n\\n elif isinstance(goals, list):\\n for goal in goals:\\n if goal.name == name:\\n return goal\",\n \"def story(self):\\n get = self.request.GET\\n if not get:\\n return Story.objects.latest(\\\"start_date\\\")\\n story_name = get.get(\\\"story_name\\\", \\\"\\\")\\n return Story.objects.get(name=story_name)\",\n \"def get_story():\\n msg = \\\"Where would you like to go today? We can go to the zoo to see \\\" + \\\\\\n \\\"some animals, or we can go to the movies and watch a film.\\\"\\n speak(wrap_text(msg, 'GoodNews'))\\n s = None\\n while not s:\\n inp = get_input()\\n resp = parse(inp, WKSPACE_ID)\\n intent = get_intent(resp)\\n if intent == 'movie':\\n s = movie_story_factory()\\n elif intent == 'zoo':\\n s = zoo_story_factory()\\n elif intent == 'pet store':\\n pass\\n else:\\n msg = \\\"I'm sorry, I didn't understand what you said. Could you \\\" + \\\\\\n \\\"try repeating yourself or rephrasing?\\\"\\n speak(wrap_text(msg, 'Apology'))\\n\\n return s\",\n \"def get_projector(self, key_string):\\n if key_string in self._run_analysis_model.projectors:\\n return self._run_analysis_model.projectors[key_string][0]\\n return None\",\n \"def get_project(self, project_id):\\n projects = self._get_all_projects()\\n\\n for project in projects:\\n if project.Id is project_id:\\n return project.Project\",\n \"def find(self, task_id):\\n for task_obj in self.stack:\\n if task_obj.id.startswith(task_id):\\n return task_obj\\n\\n raise LookupError(\\\"No such task in stack: '{}'\\\".format(task_id))\",\n \"def find_item(name, currentRoom):\\n for i in currentRoom.contents:\\n if i.name == name:\\n return i\\n\\n return None\",\n \"def setup_project(project_name):\\n\\n project_arn = ''\\n for project in device_farm.list_projects()['projects']:\\n if project['name'] == project_name:\\n print('{} project already exists'.format(project_name))\\n project_arn = project['arn']\\n else:\\n print(\\n '{} project is not available, creating new one'.format(\\n project_name\\n )\\n )\\n project_arn = create_project(project_name)\\n\\n return project_arn\\n\\n raise KeyError('Problem finding project %r' % project_name)\",\n \"def _get_projects(project_ids):\\n if _ALL in project_ids:\\n return projects_lib.get_all()\\n return projects_lib.get_selective(project_ids)\",\n \"def parse_no_project(self, args):\\n worktree = self.linguist_worktree.worktree\\n parser = qisys.parsers.WorkTreeProjectParser(worktree)\\n worktree_projects = parser.parse_no_project(args)\\n if not worktree_projects:\\n raise CouldNotGuessProjectName()\\n # WorkTreeProjectParser returns None or a list of one element\\n worktree_project = worktree_projects[0]\\n linguist_project = new_linguist_project(self.linguist_worktree, worktree_project)\\n if not linguist_project:\\n raise CouldNotGuessProjectName()\\n return self.parse_one_project(args, linguist_project.name)\",\n \"def _find_project_by_import():\\n try:\\n import _databand_project\\n\\n return abs_join(_databand_project.__file__, \\\"..\\\")\\n except ImportError:\\n dbnd_log_init_msg(\\\"Can't import `_databand_project` marker.\\\")\\n return None\",\n \"def test_search_by_skill(self):\\n resp = self.client.get(\\n reverse('profiles:search_by_skill',\\n kwargs={'skill': 'Django developer'}))\\n\\n # projects that matches the search term Django developer\\n self.assertContains(resp, 'Test Project')\\n self.assertContains(\\n resp, '1 results were found with: Django developer'\\n )\\n self.assertContains(resp, str(self.project))\\n # various page information\\n self.assertContains(resp, 'Projects')\\n self.assertContains(resp, 'All Needs')\\n self.assertContains(resp, 'Projects')\\n\\n self.assertTemplateUsed('homepage.html')\",\n \"def get_project():\\n\\n title = request.args.get('title')\\n if not title:\\n return \\\"Please enter a title!\\\"\\n\\n project = hackbright.get_project_by_title(title)\\n\\n grades = hackbright.get_grades_by_title(title)\\n\\n if not project:\\n return \\\"There is no project with title \\\\\\\"{}\\\\\\\".\\\".format(title)\\n\\n title, description, max_grade = project\\n return render_template(\\\"project_info.html\\\",\\n title=title,\\n description=description,\\n max_grade=max_grade,\\n grades=grades)\",\n \"def FindTool(self, tool_id):\\r\\n \\r\\n for item in self._items:\\r\\n if item.id == tool_id:\\r\\n return item\\r\\n \\r\\n return None\",\n \"def get_project(project_id):\\n return Project.objects.get(id=project_id)\",\n \"def facade_retrieve_side_effect(*args, **kwargs):\\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 raise LookupError(\\\"team lookup error\\\")\",\n \"def search(request):\\n if 'find_project' in request.GET and request.GET['find_project']:\\n project_name=request.GET.get('find_project')\\n \\n searched_project=Project.search_project(project_name)\\n \\n return render(request,'search_results.html',{'searched_project':searched_project})\",\n \"def test_workflows_find_one_get(self):\\n pass\",\n \"def _get_traj_by_id(self, itsid):\\n for traj in self._trajlist:\\n if traj.id == itsid:\\n return traj\\n return None\",\n \"def find_by_name(our_data,name):\\n for album in our_data:\\n if album['album'] == name:\\n return album\\n return None\",\n \"def test_team_template_folders_find_one_get(self):\\n pass\",\n \"def find_task(self, task_str):\\n task_str = task_str.replace('é', 'e').title()\\n task_not_found = True\\n custom_quest = False\\n if \\\":\\\" in task_str:\\n task_strs = task_str.split(\\\":\\\")\\n task_str = task_strs[0]\\n quest_str = task_strs[1]\\n custom_quest = True\\n while task_not_found:\\n for task in self.tasks:\\n if (task_str == task.reward.title()) or (task_str == task.quest.replace('é', 'e').title()) or (task_str in (reward.title() for reward in task.rewards)) or (task_str in (nickname.title() for nickname in task.nicknames)):\\n out_task = task\\n task_not_found = False\\n if custom_quest:\\n out_task = copy.copy(task)\\n out_task.quest = quest_str.title()\\n return out_task\\n break\\n if task_not_found:\\n raise TaskNotFound()\",\n \"def findGroove(targ):\\n\\n global grooveDB\\n\\n\\n \\\"\\\"\\\" If no existing DB we load them from each dir in libpath. \\n\\n \\\"\\\"\\\"\\n\\n if not grooveDB:\\n grooveDB=[]\\n for dir in gbl.autoLib:\\n g=loadDB(dir)\\n if g:\\n grooveDB.append([dir, g])\\n\\n if not grooveDB: # BS value so we don't keep trying to load\\n grooveDB = [['', {}]]\\n\\n\\n \\\"\\\"\\\" Search the dict for a match. \\n\\n grooveDir[] structure ... [ [dirname, g], [] ]\\n\\n g ... is a dict. Key = filename, data = list of grooves\\n\\n RETURN: Lib-Filename if found\\n None if not found\\n \\\"\\\"\\\"\\n\\n for dir, g in grooveDB:\\n for filename, namelist in g.items():\\n if targ in namelist:\\n return os.path.join(dir,filename)\\n\\n return None\",\n \"def getTag(self, tag_to_find):\\n tree = xml.parse(\\\"lesson\\\" + str(self.__id_lesson) + \\\".xml\\\")\\n root = tree.getroot()\\n for tag in root:\\n if tag.tag == tag_to_find:\\n return tag.text\",\n \"def get_project(self, project_id):\\n res = self.conn.cursor().execute(\\\"SELECT * FROM projects where id=?\\\", (project_id,))\\n return res.fetchone()\",\n \"def get_pull(self, story):\\n story = story['id'] if isinstance(story, dict) else story\\n\\n activity = self.get_activity(story)\\n\\n for act in activity:\\n if act['kind'] == 'pull_request_create_activity':\\n for change in act['changes']:\\n if change['kind'] == 'pull_request':\\n return change['new_values']['number']\\n\\n return None\",\n \"def _find_duplicate(stacktrace: str) -> Optional[Issue]:\\n for issue in TAGBOT_ISSUES_REPO.get_issues(state=\\\"all\\\"):\\n m = re.search(\\\"(?s)```py\\\\n(.*)\\\\n```\\\", issue.body)\\n if not m:\\n continue\\n if _is_duplicate(stacktrace, m[1]):\\n return issue\\n return None\",\n \"def project_by_title(project_title):\\n\\n QUERY = \\\"\\\"\\\"SELECT title, description \\n FROM Projects \\n WHERE title = ?\\\"\\\"\\\"\\n\\n db_cursor.execute(QUERY, (project_title,))\\n\\n answer = db_cursor.fetchone() \\n \\n print answer[0], \\\":\\\", answer[1]\\n # print \\\"Title: %s, Description: %s\\\" % answer[0], answer[1]\",\n \"def get_project(name):\\n tx = cypher_transaction()\\n query = \\\"\\\"\\\"MATCH (n:project) WHERE n.name={project_name} RETURN n\\\"\\\"\\\"\\n tx.append(query, parameters={'project_name': name})\\n result = tx.commit()\\n\\n # Returns a result of the form [[\\n # Record(\\n # columns=('n',),\\n # values=(Node('http://localhost:7474/db/data/node/233'),)\\n # )\\n # ]]\\n return _first(result)[0].values[0]\",\n \"def find_build(job, commit):\\n # the last 100 jobs are returned by default. depth=1 is so build objects are populated\\n builds = server.get_job_info(job, depth=1)[\\\"builds\\\"]\\n for build in builds:\\n build_commit = next((action[\\\"lastBuiltRevision\\\"][\\\"SHA1\\\"]\\n for action in build[\\\"actions\\\"]\\n if \\\"lastBuiltRevision\\\" in action),\\n None)\\n if build_commit == commit:\\n return build\\n return None\",\n \"def find_goal(self, concl, goal_id):\\n prf = self.prf\\n try:\\n for n in goal_id:\\n for item in prf.items[:n]:\\n if item.th is not None and item.th.can_prove(concl):\\n return item.id\\n prf = prf.items[n].subproof\\n except (AttributeError, IndexError):\\n raise TacticException()\",\n \"def get_target_workspace(current_workspace, open_workspaces, target_workspaces):\\n logger.debug('get_target_workspace(current: %s, open: %s, targets: %s)',\\n current_workspace, open_workspaces, target_workspaces)\\n\\n if len(target_workspaces) <= 0:\\n logger.debug('No workspaces given - defaulting to current workspace %s',\\n current_workspace)\\n return current_workspace\\n\\n if current_workspace in target_workspaces:\\n logger.debug('Current workspace is a target - going to next target')\\n target_index = target_workspaces.index(current_workspace) + 1\\n target_index %= len(target_workspaces)\\n return target_workspaces[target_index]\\n\\n logger.debug(\\\"Current workspace isn\\\\'t a target - going to first open \\\"\\n \\\"target\\\")\\n for ws in target_workspaces:\\n if ws in open_workspaces:\\n logger.debug('Found open target %s - going there', ws)\\n return ws\\n\\n logger.debug('No targets are open - going to the first')\\n return target_workspaces[0]\",\n \"def test_search_project(self):\\n title = Project.search_project(\\\"dee\\\")\\n self.assertTrue(len(title) > 0)\",\n \"def projects(self):\\n sql = \\\"\\\"\\\"SELECT project\\n FROM barcodes.sample\\n LEFT JOIN barcodes.project_sample_sets USING (sample_set_id)\\n LEFT JOIN barcodes.project USING (project_id)\\n WHERE sample_id = %s\\n UNION\\n SELECT project\\n FROM barcodes.project_samples\\n LEFT JOIN barcodes.project USING (project_id)\\n WHERE sample_id = %s\\n \\\"\\\"\\\"\\n with pm.sql.TRN:\\n pm.sql.TRN.add(sql, [self.id, self.id])\\n projects = pm.sql.TRN.execute_fetchflatten()\\n return None if not projects else projects\",\n \"def getissue(s,refconvdf,issuetaglist):\\r\\n #check if empty\\r\\n taglist=gettotaltags(s,refconvdf)\\r\\n issuename=list(set(issuetaglist.name.values).intersection(taglist)) \\r\\n if not issuename:\\r\\n return 'None'\\r\\n else:\\r\\n return issuename\",\n \"def get_project_index(self, project=None):\\n if type(project) is Project:\\n for i, p in enumerate(self.project_list):\\n if project.project_id() == p.project_id():\\n return i\\n\\n return False\",\n \"def test_returns_404_if_project_doesnt_exist(self):\\n # Act\\n response = self.client.get(\\n \\\"/api/v2/projects/queries/999/similar-projects/\\\",\\n headers={\\\"Authorization\\\": self.user_session_token},\\n )\\n self.assertEqual(response.status_code, 404)\",\n \"def test_find_by_project(self):\\n reviews = Review.find_by_project(self.new_project)\\n self.assertTrue(len(reviews) > 0)\",\n \"def _find_koji_task_result(package, rpm_list):\\n for rpm in rpm_list:\\n if package == _get_koji_task_result_package_name(rpm):\\n return rpm\\n return None\",\n \"def GetProject(args):\\n return args.project or properties.VALUES.core.project.GetOrFail()\",\n \"async def exec_find(self, url: Url, alias: str,\\n name: str, cls_name: str,\\n features: str, config_id: int):\\n await self.responses[url]\\n await self.find_stories(\\n url,\\n alias,\\n self.responses[url],\\n name,\\n cls_name,\\n features,\\n config_id\\n )\",\n \"def test_get_past(self, rf, projects):\\n # get queryset\\n request = rf.get(\\\"/projects/my\\\")\\n view = MyProjectListView()\\n view.setup(request)\\n view.dispatch(request)\\n view.get_queryset()\\n qs = view.get_past()\\n\\n # slavic working group grant ended so it is \\\"past\\\"\\n assert projects[\\\"slavic\\\"] in qs\\n assert projects[\\\"derrida\\\"] not in qs\\n assert projects[\\\"pliny\\\"] not in qs\\n assert projects[\\\"ocampo\\\"] not in qs\",\n \"def UpdateStory(self, story):\\n if story.GetStoryId() is None:\\n return None\\n story_xml = story.ToXml()\\n res = self._Api('stories/%d' % story.GetStoryId(), 'PUT', story_xml)\\n\\n if len(story.GetTasks()) < 1:\\n return Story.FromXml(res.decode(\\\"utf-8\\\"))\\n\\n for task in story.GetTasks():\\n path = 'stories/%d' % story.GetStoryId()\\n path += task.GetSubPath()\\n res = self._Api(path, task.GetMethod(), task.ToXml())\\n\\n return self.GetStory(story.GetStoryId())\",\n \"def find_project_by_id(self, project_id):\\n try:\\n with open('{}/{}'.format(self._storage_location, project_id)) as project_file:\\n name = project_file.readline().rstrip('\\\\n')\\n description = project_file.readline().rstrip('\\\\n')\\n members = project_file.readline().rstrip('\\\\n').split(',')\\n documents = project_file.readline().rstrip('\\\\n').split(',')\\n project = Project(name, description, members, documents)\\n except:\\n raise ValueError(\\\"No such project\\\")\\n return project\",\n \"def find(self, task_id):\\n _structs = [\\n self.stack,\\n self.backlog,\\n self.blocked,\\n self.sleeping,\\n ]\\n for struct in _structs:\\n try:\\n task_obj = struct.find(task_id)\\n return task_obj\\n except LookupError:\\n # not found; try next structure\\n continue\\n\\n # the graveyard is just a list; search it\\n for task_obj in self.graveyard:\\n if task_obj.id.startswith(task_id):\\n return task_obj\\n\\n raise LookupError(\\\"No such task: '{}'\\\".format(task_id))\",\n \"def update_project(project_info):\\n old_skills = set(\\n project_collection.find_one({\\\"_id\\\": project_info[\\\"_id\\\"]})[\\\"projectSkills\\\"]\\n )\\n new_skills = set(project_info[\\\"projectSkills\\\"])\\n add_to_search = list(new_skills - old_skills)\\n remove_to_search = list(old_skills - new_skills)\\n project_collection.find_one_and_update(\\n {\\\"_id\\\": project_info[\\\"_id\\\"]},\\n {\\n \\\"$set\\\": {\\n \\\"projectUrl\\\": project_info[\\\"projectUrl\\\"],\\n \\\"projectTitle\\\": project_info[\\\"projectTitle\\\"],\\n \\\"projectDescription\\\": project_info[\\\"projectDescription\\\"],\\n \\\"projectOpenings\\\": project_info[\\\"projectOpenings\\\"],\\n \\\"projectSkills\\\": project_info[\\\"projectSkills\\\"],\\n }\\n },\\n upsert=False,\\n )\\n search_data = search_collection.find_one({\\\"_id\\\": SEARCH_ID})\\n for add in add_to_search:\\n try:\\n value_list = search_data[add]\\n value_list.append(project_info[\\\"_id\\\"])\\n search_collection.find_one_and_update(\\n {\\\"_id\\\": SEARCH_ID},\\n {\\n \\\"$set\\\": {\\n add: value_list,\\n }\\n },\\n upsert=False,\\n )\\n except AttributeError:\\n value_list = list()\\n value_list.append(project_info[\\\"_id\\\"])\\n search_collection.find_one_and_update(\\n {\\\"_id\\\": SEARCH_ID},\\n {\\n \\\"$set\\\": {\\n add: value_list,\\n }\\n },\\n upsert=False,\\n )\\n except KeyError:\\n value_list = list()\\n value_list.append(project_info[\\\"_id\\\"])\\n search_collection.find_one_and_update(\\n {\\\"_id\\\": SEARCH_ID},\\n {\\n \\\"$set\\\": {\\n add: value_list,\\n }\\n },\\n upsert=False,\\n )\\n for remove in remove_to_search:\\n try:\\n value_list = search_data[remove]\\n value_list.remove(project_info[\\\"_id\\\"])\\n search_collection.find_one_and_update(\\n {\\\"_id\\\": SEARCH_ID},\\n {\\n \\\"$set\\\": {\\n remove: value_list,\\n }\\n },\\n upsert=False,\\n )\\n except:\\n raise ValueError(\\n f\\\"This is never gone be executed, find remove_tag {remove}\\\"\\n )\",\n \"def _TopicSearchHelper(self, topic_list, topic_id):\\n for topic_obj in topic_list:\\n if topic_obj.topic_id == topic_id:\\n return topic_obj\\n elif topic_obj.children:\\n children_result = self._TopicSearchHelper(topic_obj.children, topic_id)\\n\\n if children_result:\\n return children_result\\n\\n return None\",\n \"def test_get_current(self, rf, projects):\\n # get queryset\\n request = rf.get(\\\"/projects/my\\\")\\n view = MyProjectListView()\\n view.setup(request)\\n view.dispatch(request)\\n view.get_queryset()\\n qs = view.get_current()\\n\\n # slavic working group grant ended so it is \\\"past\\\"\\n assert projects[\\\"derrida\\\"] in qs\\n assert projects[\\\"pliny\\\"] in qs\\n assert projects[\\\"ocampo\\\"] in qs\\n assert projects[\\\"slavic\\\"] not in qs\",\n \"def get_project(self):\\n project_id = self.kwargs['project_id']\\n try:\\n project = Project.objects.get(pk=project_id)\\n except ObjectDoesNotExist:\\n raise ObjectNotFound('Not found')\\n contributors = CustomUser.objects.filter(contributor__project=project.pk)\\n if self.request.user not in contributors:\\n raise ObjectNotFound('Not found')\\n return project\",\n \"def get_project(self):\\n project_id = self.kwargs['project_id']\\n try:\\n project = Project.objects.get(pk=project_id)\\n except ObjectDoesNotExist:\\n raise ObjectNotFound('Not found')\\n contributors = CustomUser.objects.filter(contributor__project=project.pk)\\n if self.request.user not in contributors:\\n raise ObjectNotFound('Not found')\\n return project\",\n \"def _determine_default_project(project=None):\\n if project is None:\\n project = _get_gcd_project()\\n\\n if project is None:\\n project = _helpers._determine_default_project(project=project)\\n\\n return project\",\n \"def for_date(filter_id, date):\\n try:\\n return ProjectSummary.objects.get(filter_id=filter_id, created_on=date)\\n except ProjectSummary.DoesNotExist:\\n return None\",\n \"def findWhere(cls, args):\\n return cls.search(args)[0][0]\",\n \"def test_get_projects_returns_projects(fc: fetcher.Fetcher):\\n projects = fc.get_projects()\\n assert isinstance(projects, list)\\n assert isinstance(projects[0], models.Project)\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.84241813","0.62560344","0.61722744","0.60507","0.59317017","0.5916581","0.59009284","0.587145","0.5809766","0.57527995","0.56877387","0.56099844","0.56028783","0.56005305","0.5553567","0.5518918","0.5457603","0.53568715","0.53509325","0.53243184","0.5304747","0.5280034","0.5274395","0.52623177","0.52496094","0.52383953","0.5219083","0.52172464","0.5187457","0.5175368","0.5173066","0.51593834","0.51286167","0.5128465","0.5126249","0.51134694","0.51134694","0.5100169","0.50854784","0.5071036","0.5063529","0.5061887","0.5060183","0.5041527","0.50212014","0.49857047","0.49825162","0.4967817","0.49591756","0.49552318","0.4944635","0.49390662","0.4938727","0.49295264","0.49281648","0.49154875","0.4915334","0.4903581","0.4903571","0.48968744","0.48867974","0.48860788","0.48820397","0.48749387","0.48723453","0.48654637","0.4863975","0.48517182","0.4849888","0.48482868","0.4846918","0.4834448","0.4830548","0.48283088","0.48277143","0.48195726","0.4782521","0.4778239","0.47753686","0.47740686","0.4767245","0.4766362","0.47532788","0.47311822","0.473002","0.47259006","0.472556","0.47233734","0.47209394","0.4718727","0.47181207","0.47166163","0.47078857","0.47034207","0.47032282","0.47032282","0.47004238","0.46992767","0.46961096","0.46909076"],"string":"[\n \"0.84241813\",\n \"0.62560344\",\n \"0.61722744\",\n \"0.60507\",\n \"0.59317017\",\n \"0.5916581\",\n \"0.59009284\",\n \"0.587145\",\n \"0.5809766\",\n \"0.57527995\",\n \"0.56877387\",\n \"0.56099844\",\n \"0.56028783\",\n \"0.56005305\",\n \"0.5553567\",\n \"0.5518918\",\n \"0.5457603\",\n \"0.53568715\",\n \"0.53509325\",\n \"0.53243184\",\n \"0.5304747\",\n \"0.5280034\",\n \"0.5274395\",\n \"0.52623177\",\n \"0.52496094\",\n \"0.52383953\",\n \"0.5219083\",\n \"0.52172464\",\n \"0.5187457\",\n \"0.5175368\",\n \"0.5173066\",\n \"0.51593834\",\n \"0.51286167\",\n \"0.5128465\",\n \"0.5126249\",\n \"0.51134694\",\n \"0.51134694\",\n \"0.5100169\",\n \"0.50854784\",\n \"0.5071036\",\n \"0.5063529\",\n \"0.5061887\",\n \"0.5060183\",\n \"0.5041527\",\n \"0.50212014\",\n \"0.49857047\",\n \"0.49825162\",\n \"0.4967817\",\n \"0.49591756\",\n \"0.49552318\",\n \"0.4944635\",\n \"0.49390662\",\n \"0.4938727\",\n \"0.49295264\",\n \"0.49281648\",\n \"0.49154875\",\n \"0.4915334\",\n \"0.4903581\",\n \"0.4903571\",\n \"0.48968744\",\n \"0.48867974\",\n \"0.48860788\",\n \"0.48820397\",\n \"0.48749387\",\n \"0.48723453\",\n \"0.48654637\",\n \"0.4863975\",\n \"0.48517182\",\n \"0.4849888\",\n \"0.48482868\",\n \"0.4846918\",\n \"0.4834448\",\n \"0.4830548\",\n \"0.48283088\",\n \"0.48277143\",\n \"0.48195726\",\n \"0.4782521\",\n \"0.4778239\",\n \"0.47753686\",\n \"0.47740686\",\n \"0.4767245\",\n \"0.4766362\",\n \"0.47532788\",\n \"0.47311822\",\n \"0.473002\",\n \"0.47259006\",\n \"0.472556\",\n \"0.47233734\",\n \"0.47209394\",\n \"0.4718727\",\n \"0.47181207\",\n \"0.47166163\",\n \"0.47078857\",\n \"0.47034207\",\n \"0.47032282\",\n \"0.47032282\",\n \"0.47004238\",\n \"0.46992767\",\n \"0.46961096\",\n \"0.46909076\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.84125274"},"document_rank":{"kind":"string","value":"1"}}},{"rowIdx":20496,"cells":{"query":{"kind":"string","value":"returns the first label if any from labels. Used for grouping"},"document":{"kind":"string","value":"def first_label(self):\n if self.labels:\n return self.labels[0]\n else:\n return 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 first_label(self):\r\n return self.labels.split(',')[0]","def label(tree):\n return tree[0]","def getLabel(labels):\r\n elems = {}\r\n for l in labels:\r\n if l not in elems.keys():\r\n elems[l] = 1\r\n else:\r\n elems[l] += 1\r\n counts = sorted(elems.values(), reverse=True)\r\n if len(counts) > 1 and counts[0] == counts[1]:\r\n return choice(list(elems.keys()))\r\n return sorted(elems, key=elems.get, reverse=True)[0]","def _find_first(self, ast, label):\n res = self._find_all(ast, label, max_results=1)\n if len(res):\n return res[0]\n return None","def user_labels_first(*args):\n return _ida_hexrays.user_labels_first(*args)","def get_label(self, name):\n label_list = self.wls_board.get_labels()\n for label in label_list:\n if name in label.name: \n return label","def get_label_name(label):\n\tindex = np.argmax(label)\n\tlabels = ['airplane', 'automobile', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']\n\treturn labels[int(index)]","def fromLabel(name):\n return Data.labels.index(name)","def _get_label(obj):\n # NOTE: BarContainer and StemContainer are instances of tuple\n while not hasattr(obj, 'get_label') and isinstance(obj, tuple) and len(obj) > 1:\n obj = obj[-1]\n label = getattr(obj, 'get_label', lambda: None)()\n return label if label and label[:1] != '_' else None","def find_label_by_id(self, _id):\n search = True\n i = 0\n while search:\n if i == len(self.labels):\n break;\n\n if self.labels[i].id == _id:\n return self.labels[i]\n search = False\n #print self.labels[i].id\n i += 1\n if search:\n return None","def get_labels(self):\n return self.labels[1:]","def auto_label_text_chunk(text, labels):\n\n for label in labels:\n regex_str = \"|\".join(labels[label])\n r = re.compile(regex_str, flags=re.I)\n if re.search(r, text) is not None:\n return label\n\n return \"None\"","def label_from_index(self, index):\n assert self.labels is not None, \"Labels not processed\"\n return self.labels[index]","def get_label_id(self) -> Optional[str]:\n\n return None if (self.elements is None or len(self.elements) == 0) else self.elements[0].label_id","def extract_labels_single_format(featureset):\n def extract(label): return 1 if label == [1,0] else 0\n y = lambda label: extract(label), featureset['Labels']\n return y","def get_label(urs):\n return assign_term(urs)[1]","def label_from_index(self, index):\n assert self.labels is not None, \"Labels not processed\"\n #return self.labels[index, :, :]\n return self.labels[index]","def get_label(self, indices=None):\n if indices is None:\n indices = list(range(0, self.get_sample_size()))\n elif isinstance(indices, collections.abc.Iterable):\n indices = sorted(list(set(indices)))\n else:\n indices = [indices]\n\n if len(indices) == 0:\n return []\n partitions = self.get_partitions(self.persistence)\n labels = self.X.shape[0] * [None]\n for label, partition_indices in partitions.items():\n for idx in np.intersect1d(partition_indices, indices):\n labels[idx] = label\n\n labels = np.array(labels)\n if len(indices) == 1:\n return labels[indices][0]\n return labels[indices]","def label_from_example(example):\n val = example.features.feature['label'].int64_list.value\n if val:\n return int(val[0])\n else:\n return None","def get_labels(self):\r\n return None","def first_field_by_label(self, label: str, case_sensitive=True):\n fields = self.fields_by_label(label, case_sensitive=case_sensitive)\n f = fields[0]\n return f","def _get_label(self):\n return self.label","def get_labels():\n return if_found(dao.get_labels())","def get_label(id):\n return if_found(dao.get_label(id))","def get_label(column):\n\n for key, label in column_to_label.items():\n if key in column:\n return label","def _get_labels(touches):\n \n out = touches.copy(deep=True)\n # pandas df.min() ignores NaN values\n first_touch = touches[['stop_loss', 'take_profit']].min(axis=1)\n for loc, t in first_touch.items():\n if pd.isnull(t):\n out.loc[loc, 'label'] = 0\n elif t == touches.loc[loc, 'stop_loss']:\n out.loc[loc, 'label'] = -1\n else:\n out.loc[loc, 'label'] = 1\n return out","def choose_one(self,labels) :\n # Exercise 1: Reduce k until you find a unique winner\n counts = Counter(labels)\n winner, winner_count = counts.most_common(1)[0]\n num_winners = len([count for count in counts.values() if count == winner_count])\n # replace&complete: The winning label has to be found and returned\n if num_winners == 1:\n return winner\n else:\n return self.choose_one(labels[:-1])","def _findLabel(self, label):\n if self.label == label:\n return self\n else:\n for i in range(self.nChildren()):\n found = self.children[i]._findLabel(label)\n if found:\n return found\n return None","def get_label(self, key):\n return self.labels.get(key, None)","def fromIndex(index):\n return Data.labels[index]","def _get_labels(self, ind):\n pass","def label(self, t):\n if self.labels is None:\n return None\n prev_label = None\n for l in self.labels:\n if l.time > t:\n break\n prev_label = l\n if prev_label is None:\n return None\n return prev_label.name","def findLabel(self, label):\n return self.root._findLabel(label)","def get_by_label(self, label):\n # label = label.replace(\"-\", \"\") FLB: problem with - in variable\n # Check for name in all categories in self\n for category in categories:\n method = getattr(self, category)\n for entity in method():\n if label in entity.label:\n return entity\n # Check for special names\n d = {\n 'Nothing': Nothing,\n }\n if label in d:\n return d[label]\n # Check whether `label` matches a Python class name of any category\n # l = [cls for cls in itertools.chain.from_iterable(\n # getattr(self, category)() for category in categories)\n # if hasattr(cls, '__name__') and cls.__name__ == label]\n # if len(l) == 1:\n # return l[0]\n # elif len(l) > 1:\n # raise NoSuchLabelError('There is more than one Python class with '\n # 'name %r'%label)\n # # Check imported ontologies\n # for onto in self.imported_ontologies:\n # onto.__class__ = self.__class__ # magically change type of onto\n # try:\n # return onto.get_by_label(label)\n # except NoSuchLabelError:\n # pass","def find_label(self, *args):\n return _ida_hexrays.cfunc_t_find_label(self, *args)","def label(self):\n return self._label_shape","def get_beat_label(labels):\n # calculate the count of each beat type in the frame\n beat_counts = np.bincount(labels, minlength=len(ds_beat_names))\n most_hp_beats = np.argmax(beat_counts[_HI_PRIO_BEATS])\n if beat_counts[_HI_PRIO_BEATS][most_hp_beats] > 0:\n y = _HI_PRIO_BEATS[most_hp_beats]\n else:\n most_lp_beats = np.argmax(beat_counts[_LO_PRIO_BEATS])\n # handle the case of no detected beats\n if beat_counts[_LO_PRIO_BEATS][most_lp_beats] > 0:\n y = _LO_PRIO_BEATS[most_lp_beats]\n else:\n y = 0 # undefined beat\n return y","def get_fasta_labels(input_fasta_fp):\r\n\r\n fasta_labels = []\r\n\r\n fasta_f = open(input_fasta_fp, \"U\")\r\n\r\n for label, seq in parse_fasta(fasta_f):\r\n fasta_labels.append(label.split()[0])\r\n\r\n return fasta_labels","def getFirst(self):\n if self.use_dic:\n data = sorted(self.dic.keys())[0]\n activity = sorted(self.dic[data].keys())[0]\n imsize = sorted(self.dic[data][activity].keys())[0]\n img = sorted(self.dic[data][activity][imsize].keys())[0]\n labels = self.dic[data][activity][imsize][img]\n path = join(self.home, 'data'+str(data), activity, imsize, str(img)+'.jpg')\n else:\n first = self.dic.keys()[0]\n path, labels = first, self.dic[first]\n return path, labels","def test_first_level_from_bids_no_duplicate_sub_labels(bids_dataset):\n models, *_ = first_level_from_bids(\n dataset_path=bids_dataset,\n task_label='main',\n sub_labels=[\"01\", \"01\"],\n space_label='MNI',\n img_filters=[('desc', 'preproc')],\n slice_time_ref=None,\n )\n\n assert len(models) == 1","def get_label(self, ):\n return self.attrs.get(self.AttributeNames.LABEL, None)","def get_label(self):\n return self.job[self.label_key]","def get_labels(fasta_file):\n\t\tbase_name = basename(fasta_file)\n\t\tname = splitext(base_name)[0]\n\t\tlabel = name.split(\"_\")[-1]\n\t\tassert label == \"pos\" or label == \"hard\", \"AssertionError: label {} not found, possible labels pos, hard.\"\n\t\tif label == \"pos\":\n\t\t\treturn \"Toxin\"\n\t\telif label == \"hard\":\n\t\t\treturn \"No_toxin\"","def label(f, Bc=None):\n from numpy import allclose, ravel, nonzero, array\n if Bc is None: Bc = secross()\n assert isbinary(f),'Can only label binary image'\n zero = subm(f,f) # zero image\n faux=f\n r = array(zero)\n label = 1\n y = gray( f,'uint16',0) # zero image (output)\n while not allclose(faux,0):\n x=nonzero(ravel(faux))[0] # get first unlabeled pixel\n fmark = array(zero)\n fmark.flat[x] = 1 # get the first unlabeled pixel\n r = infrec( fmark, faux, Bc) # detects all pixels connected to it\n faux = subm( faux, r) # remove them from faux\n r = gray( r,'uint16',label) # label them with the value label\n y = union( y, r) # merge them with the labeled image\n label = label + 1\n return y","def label_sample(self, external_labels=None, label_type=\"family\"):\n merged_labels = []\n\n if external_labels is None and self.scans is not None:\n for vendor in self.scans:\n merged_labels += self.scans[vendor][\"normalized\"][label_type]\n elif external_labels is not None and self.scans is None:\n merged_labels = external_labels\n\n if not merged_labels:\n self.label = \"none\"\n return\n\n # Get most common label if it has more hits than set threshold\n labels_frequency = collections.Counter(merged_labels)\n top_label, top_label_count = labels_frequency.most_common(1)[0]\n if top_label_count >= self.LABEL_SIGNIFICANCE_COUNT:\n # self.positives >= self.POSITIVE_RATE:\n self.label = top_label.encode(\"ascii\", \"ignore\")\n else:\n self.label = \"none\"","def get_labels(self):\n\n for i in range(self.p.shape[0]):\n self.find(i)\n return self.p","def get_labels(train_f_path):\n results = []\n with open(train_f_path, 'r') as f:\n for line in f:\n n_line = line.strip()\n if n_line:\n results.append(n_line.split()[0])\n return results","def get_label_with_index(labels, index):\n return labels[np.where(labels[:, 0] == index)]","def _get_label ( self ):\n if self._label is not None:\n return self._label\n return self.name","def get_label(self, which_label: str, extra_label: str) -> str:\n result = self.row_dict.get(extra_label)\n if result:\n # We will use this label\n pass\n elif which_label == 'first_label':\n header = self.row_header\n first_label = next((i for i in header if i.startswith('label')),\n None)\n if first_label is None:\n raise LabelNotFoundError()\n result = self.row_dict[first_label]\n elif which_label in self.row_dict:\n result = self.row_dict[which_label]\n else:\n raise LabelNotFoundError()\n str_result = str(result)\n return str_result","def get_label(self):\n return self.label","def get_label(self):\n return self.label","def get_label(self):\n return self.label","def get_label(self):\n return self.label","def label(self):\n return self._label_","def extract_label(line):\n start = line.find('\\\\label{')\n for i in range(start, len(line)):\n if line[i] == '}':\n label = line[start + 7 : i]\n break\n return label","def plugin_first_label():\n return \"first\"","def findLabel(row):\n if row[\"Max score\"] == row[\"TSG\"]:\n label = \"TSG\"\n elif row[\"Max score\"] == row[\"OG\"]:\n label = \"OG\"\n return label","def get_full_label(self):\n return Card.ranks[self.ranks[0]] + '-High' if self.rank == 0 else \\\n self.get_label()","def _get_lowest_order_label_indices(self):\n indices = OrderedDict()\n for i, term in enumerate(self.label_vector):\n if len(term) > 1: continue\n label, order = term[0]\n if order < indices.get(label, [None, np.inf])[-1]:\n indices[label] = (i, order)\n return [indices.get(label, [None])[0] for label in self.labels]","def get_label(repo, title, verbose=None):\n if verbose:\n print \"Checking for label...\"\n label = None\n label_text = None\n try:\n label_start = 1 + title.index('(')\n label_end = title.index(')')\n label_text = title[label_start:label_end]\n except ValueError, e:\n print \"Warning: This tile has no embeded label. {0}\".format(e)\n if label_text:\n try:\n label = [repo.get_label(label_text)]\n if verbose:\n print \"Found label: {0}\".format(label)\n except UnknownObjectException, e:\n print \"Error: The label '{0}' does not exist on \" \\\n \"Github. {1}\".format(label_text, e)\n return label","def label(self):\n return self.label_","def label_index(self):\n return self._label_index","def label_index(self):\n return self._label_index","def label(self):\r\n return self._label","def get_index(self, label):\n if label in self.labels:\n return self.labels.index(label)\n else:\n self.labels.append(label)\n return self.labels.index(label)","def GetLabel(self):\r\n\r\n return self.label","def GetLabel(self):\r\n\r\n return self.label","def labels(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:\n return pulumi.get(self, \"labels\")","def labels(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:\n return pulumi.get(self, \"labels\")","def labels(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:\n return pulumi.get(self, \"labels\")","def labels(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:\n return pulumi.get(self, \"labels\")","def labelIndex(self, label):\n for idx, taskDef in enumerate(self):\n if taskDef.label == label:\n return idx\n return -1","def get_label ( self ):\n return self.label","def label_index(self, label: Text) -> int:\n count = 0\n for l in self.le.classes_:\n if(l == label):\n return count\n count += 1","def get_item_from_label(self, label):\n idx = self.labels.index(label)\n item = self[idx][0]\n return item","def _get_label(cls, file_name):\n if cls == \"neg\":\n return \"0\"\n else:\n return \"1\"\n # reg = _REGEX_\n # rmtch = reg.match(file_name)\n # if rmtch:\n # return rmtch.groupdict()[\"label\"]\n # else:\n # return \"unknown_positive\"","def get_label(self):\n return self._label","def label(self):\n return self._label","def label(self):\n return self._label","def label(self):\n return self._label","def label(self):\n return self._label","def label(self):\n return self._label","def label(self):\n return self._label","def label(self):\n return self._label","def label(self):\n return self._label","def label(self):\n return self._label","def label(self):\n return self._label","def __get_ohe_label__(self, label_idx) -> List[int]:\n\n label = [0] * self.n_classes\n label[label_idx] = 1\n\n return label","def groupByLabel( y ):\n index = []\n for i in np.unique(y): # pour toutes les classes\n ind, = np.where(y==i)\n index.append(ind)\n \n return index","def _get_label ( self ):\n if self._label is not None:\n return self._label\n return 'Column %d' % (self.index + 1)","def label(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"label\")","def label(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"label\")","def label(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"label\")","def label(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"label\")","def label(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"label\")","def label(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"label\")","def label(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"label\")","def get_index(observable_nodes, label):\n for k in observable_nodes:\n if label in observable_nodes[k]:\n return observable_nodes[k][label]['category']","def get_step_label_at_index(self, index):\n return self[index][1]"],"string":"[\n \"def first_label(self):\\r\\n return self.labels.split(',')[0]\",\n \"def label(tree):\\n return tree[0]\",\n \"def getLabel(labels):\\r\\n elems = {}\\r\\n for l in labels:\\r\\n if l not in elems.keys():\\r\\n elems[l] = 1\\r\\n else:\\r\\n elems[l] += 1\\r\\n counts = sorted(elems.values(), reverse=True)\\r\\n if len(counts) > 1 and counts[0] == counts[1]:\\r\\n return choice(list(elems.keys()))\\r\\n return sorted(elems, key=elems.get, reverse=True)[0]\",\n \"def _find_first(self, ast, label):\\n res = self._find_all(ast, label, max_results=1)\\n if len(res):\\n return res[0]\\n return None\",\n \"def user_labels_first(*args):\\n return _ida_hexrays.user_labels_first(*args)\",\n \"def get_label(self, name):\\n label_list = self.wls_board.get_labels()\\n for label in label_list:\\n if name in label.name: \\n return label\",\n \"def get_label_name(label):\\n\\tindex = np.argmax(label)\\n\\tlabels = ['airplane', 'automobile', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']\\n\\treturn labels[int(index)]\",\n \"def fromLabel(name):\\n return Data.labels.index(name)\",\n \"def _get_label(obj):\\n # NOTE: BarContainer and StemContainer are instances of tuple\\n while not hasattr(obj, 'get_label') and isinstance(obj, tuple) and len(obj) > 1:\\n obj = obj[-1]\\n label = getattr(obj, 'get_label', lambda: None)()\\n return label if label and label[:1] != '_' else None\",\n \"def find_label_by_id(self, _id):\\n search = True\\n i = 0\\n while search:\\n if i == len(self.labels):\\n break;\\n\\n if self.labels[i].id == _id:\\n return self.labels[i]\\n search = False\\n #print self.labels[i].id\\n i += 1\\n if search:\\n return None\",\n \"def get_labels(self):\\n return self.labels[1:]\",\n \"def auto_label_text_chunk(text, labels):\\n\\n for label in labels:\\n regex_str = \\\"|\\\".join(labels[label])\\n r = re.compile(regex_str, flags=re.I)\\n if re.search(r, text) is not None:\\n return label\\n\\n return \\\"None\\\"\",\n \"def label_from_index(self, index):\\n assert self.labels is not None, \\\"Labels not processed\\\"\\n return self.labels[index]\",\n \"def get_label_id(self) -> Optional[str]:\\n\\n return None if (self.elements is None or len(self.elements) == 0) else self.elements[0].label_id\",\n \"def extract_labels_single_format(featureset):\\n def extract(label): return 1 if label == [1,0] else 0\\n y = lambda label: extract(label), featureset['Labels']\\n return y\",\n \"def get_label(urs):\\n return assign_term(urs)[1]\",\n \"def label_from_index(self, index):\\n assert self.labels is not None, \\\"Labels not processed\\\"\\n #return self.labels[index, :, :]\\n return self.labels[index]\",\n \"def get_label(self, indices=None):\\n if indices is None:\\n indices = list(range(0, self.get_sample_size()))\\n elif isinstance(indices, collections.abc.Iterable):\\n indices = sorted(list(set(indices)))\\n else:\\n indices = [indices]\\n\\n if len(indices) == 0:\\n return []\\n partitions = self.get_partitions(self.persistence)\\n labels = self.X.shape[0] * [None]\\n for label, partition_indices in partitions.items():\\n for idx in np.intersect1d(partition_indices, indices):\\n labels[idx] = label\\n\\n labels = np.array(labels)\\n if len(indices) == 1:\\n return labels[indices][0]\\n return labels[indices]\",\n \"def label_from_example(example):\\n val = example.features.feature['label'].int64_list.value\\n if val:\\n return int(val[0])\\n else:\\n return None\",\n \"def get_labels(self):\\r\\n return None\",\n \"def first_field_by_label(self, label: str, case_sensitive=True):\\n fields = self.fields_by_label(label, case_sensitive=case_sensitive)\\n f = fields[0]\\n return f\",\n \"def _get_label(self):\\n return self.label\",\n \"def get_labels():\\n return if_found(dao.get_labels())\",\n \"def get_label(id):\\n return if_found(dao.get_label(id))\",\n \"def get_label(column):\\n\\n for key, label in column_to_label.items():\\n if key in column:\\n return label\",\n \"def _get_labels(touches):\\n \\n out = touches.copy(deep=True)\\n # pandas df.min() ignores NaN values\\n first_touch = touches[['stop_loss', 'take_profit']].min(axis=1)\\n for loc, t in first_touch.items():\\n if pd.isnull(t):\\n out.loc[loc, 'label'] = 0\\n elif t == touches.loc[loc, 'stop_loss']:\\n out.loc[loc, 'label'] = -1\\n else:\\n out.loc[loc, 'label'] = 1\\n return out\",\n \"def choose_one(self,labels) :\\n # Exercise 1: Reduce k until you find a unique winner\\n counts = Counter(labels)\\n winner, winner_count = counts.most_common(1)[0]\\n num_winners = len([count for count in counts.values() if count == winner_count])\\n # replace&complete: The winning label has to be found and returned\\n if num_winners == 1:\\n return winner\\n else:\\n return self.choose_one(labels[:-1])\",\n \"def _findLabel(self, label):\\n if self.label == label:\\n return self\\n else:\\n for i in range(self.nChildren()):\\n found = self.children[i]._findLabel(label)\\n if found:\\n return found\\n return None\",\n \"def get_label(self, key):\\n return self.labels.get(key, None)\",\n \"def fromIndex(index):\\n return Data.labels[index]\",\n \"def _get_labels(self, ind):\\n pass\",\n \"def label(self, t):\\n if self.labels is None:\\n return None\\n prev_label = None\\n for l in self.labels:\\n if l.time > t:\\n break\\n prev_label = l\\n if prev_label is None:\\n return None\\n return prev_label.name\",\n \"def findLabel(self, label):\\n return self.root._findLabel(label)\",\n \"def get_by_label(self, label):\\n # label = label.replace(\\\"-\\\", \\\"\\\") FLB: problem with - in variable\\n # Check for name in all categories in self\\n for category in categories:\\n method = getattr(self, category)\\n for entity in method():\\n if label in entity.label:\\n return entity\\n # Check for special names\\n d = {\\n 'Nothing': Nothing,\\n }\\n if label in d:\\n return d[label]\\n # Check whether `label` matches a Python class name of any category\\n # l = [cls for cls in itertools.chain.from_iterable(\\n # getattr(self, category)() for category in categories)\\n # if hasattr(cls, '__name__') and cls.__name__ == label]\\n # if len(l) == 1:\\n # return l[0]\\n # elif len(l) > 1:\\n # raise NoSuchLabelError('There is more than one Python class with '\\n # 'name %r'%label)\\n # # Check imported ontologies\\n # for onto in self.imported_ontologies:\\n # onto.__class__ = self.__class__ # magically change type of onto\\n # try:\\n # return onto.get_by_label(label)\\n # except NoSuchLabelError:\\n # pass\",\n \"def find_label(self, *args):\\n return _ida_hexrays.cfunc_t_find_label(self, *args)\",\n \"def label(self):\\n return self._label_shape\",\n \"def get_beat_label(labels):\\n # calculate the count of each beat type in the frame\\n beat_counts = np.bincount(labels, minlength=len(ds_beat_names))\\n most_hp_beats = np.argmax(beat_counts[_HI_PRIO_BEATS])\\n if beat_counts[_HI_PRIO_BEATS][most_hp_beats] > 0:\\n y = _HI_PRIO_BEATS[most_hp_beats]\\n else:\\n most_lp_beats = np.argmax(beat_counts[_LO_PRIO_BEATS])\\n # handle the case of no detected beats\\n if beat_counts[_LO_PRIO_BEATS][most_lp_beats] > 0:\\n y = _LO_PRIO_BEATS[most_lp_beats]\\n else:\\n y = 0 # undefined beat\\n return y\",\n \"def get_fasta_labels(input_fasta_fp):\\r\\n\\r\\n fasta_labels = []\\r\\n\\r\\n fasta_f = open(input_fasta_fp, \\\"U\\\")\\r\\n\\r\\n for label, seq in parse_fasta(fasta_f):\\r\\n fasta_labels.append(label.split()[0])\\r\\n\\r\\n return fasta_labels\",\n \"def getFirst(self):\\n if self.use_dic:\\n data = sorted(self.dic.keys())[0]\\n activity = sorted(self.dic[data].keys())[0]\\n imsize = sorted(self.dic[data][activity].keys())[0]\\n img = sorted(self.dic[data][activity][imsize].keys())[0]\\n labels = self.dic[data][activity][imsize][img]\\n path = join(self.home, 'data'+str(data), activity, imsize, str(img)+'.jpg')\\n else:\\n first = self.dic.keys()[0]\\n path, labels = first, self.dic[first]\\n return path, labels\",\n \"def test_first_level_from_bids_no_duplicate_sub_labels(bids_dataset):\\n models, *_ = first_level_from_bids(\\n dataset_path=bids_dataset,\\n task_label='main',\\n sub_labels=[\\\"01\\\", \\\"01\\\"],\\n space_label='MNI',\\n img_filters=[('desc', 'preproc')],\\n slice_time_ref=None,\\n )\\n\\n assert len(models) == 1\",\n \"def get_label(self, ):\\n return self.attrs.get(self.AttributeNames.LABEL, None)\",\n \"def get_label(self):\\n return self.job[self.label_key]\",\n \"def get_labels(fasta_file):\\n\\t\\tbase_name = basename(fasta_file)\\n\\t\\tname = splitext(base_name)[0]\\n\\t\\tlabel = name.split(\\\"_\\\")[-1]\\n\\t\\tassert label == \\\"pos\\\" or label == \\\"hard\\\", \\\"AssertionError: label {} not found, possible labels pos, hard.\\\"\\n\\t\\tif label == \\\"pos\\\":\\n\\t\\t\\treturn \\\"Toxin\\\"\\n\\t\\telif label == \\\"hard\\\":\\n\\t\\t\\treturn \\\"No_toxin\\\"\",\n \"def label(f, Bc=None):\\n from numpy import allclose, ravel, nonzero, array\\n if Bc is None: Bc = secross()\\n assert isbinary(f),'Can only label binary image'\\n zero = subm(f,f) # zero image\\n faux=f\\n r = array(zero)\\n label = 1\\n y = gray( f,'uint16',0) # zero image (output)\\n while not allclose(faux,0):\\n x=nonzero(ravel(faux))[0] # get first unlabeled pixel\\n fmark = array(zero)\\n fmark.flat[x] = 1 # get the first unlabeled pixel\\n r = infrec( fmark, faux, Bc) # detects all pixels connected to it\\n faux = subm( faux, r) # remove them from faux\\n r = gray( r,'uint16',label) # label them with the value label\\n y = union( y, r) # merge them with the labeled image\\n label = label + 1\\n return y\",\n \"def label_sample(self, external_labels=None, label_type=\\\"family\\\"):\\n merged_labels = []\\n\\n if external_labels is None and self.scans is not None:\\n for vendor in self.scans:\\n merged_labels += self.scans[vendor][\\\"normalized\\\"][label_type]\\n elif external_labels is not None and self.scans is None:\\n merged_labels = external_labels\\n\\n if not merged_labels:\\n self.label = \\\"none\\\"\\n return\\n\\n # Get most common label if it has more hits than set threshold\\n labels_frequency = collections.Counter(merged_labels)\\n top_label, top_label_count = labels_frequency.most_common(1)[0]\\n if top_label_count >= self.LABEL_SIGNIFICANCE_COUNT:\\n # self.positives >= self.POSITIVE_RATE:\\n self.label = top_label.encode(\\\"ascii\\\", \\\"ignore\\\")\\n else:\\n self.label = \\\"none\\\"\",\n \"def get_labels(self):\\n\\n for i in range(self.p.shape[0]):\\n self.find(i)\\n return self.p\",\n \"def get_labels(train_f_path):\\n results = []\\n with open(train_f_path, 'r') as f:\\n for line in f:\\n n_line = line.strip()\\n if n_line:\\n results.append(n_line.split()[0])\\n return results\",\n \"def get_label_with_index(labels, index):\\n return labels[np.where(labels[:, 0] == index)]\",\n \"def _get_label ( self ):\\n if self._label is not None:\\n return self._label\\n return self.name\",\n \"def get_label(self, which_label: str, extra_label: str) -> str:\\n result = self.row_dict.get(extra_label)\\n if result:\\n # We will use this label\\n pass\\n elif which_label == 'first_label':\\n header = self.row_header\\n first_label = next((i for i in header if i.startswith('label')),\\n None)\\n if first_label is None:\\n raise LabelNotFoundError()\\n result = self.row_dict[first_label]\\n elif which_label in self.row_dict:\\n result = self.row_dict[which_label]\\n else:\\n raise LabelNotFoundError()\\n str_result = str(result)\\n return str_result\",\n \"def get_label(self):\\n return self.label\",\n \"def get_label(self):\\n return self.label\",\n \"def get_label(self):\\n return self.label\",\n \"def get_label(self):\\n return self.label\",\n \"def label(self):\\n return self._label_\",\n \"def extract_label(line):\\n start = line.find('\\\\\\\\label{')\\n for i in range(start, len(line)):\\n if line[i] == '}':\\n label = line[start + 7 : i]\\n break\\n return label\",\n \"def plugin_first_label():\\n return \\\"first\\\"\",\n \"def findLabel(row):\\n if row[\\\"Max score\\\"] == row[\\\"TSG\\\"]:\\n label = \\\"TSG\\\"\\n elif row[\\\"Max score\\\"] == row[\\\"OG\\\"]:\\n label = \\\"OG\\\"\\n return label\",\n \"def get_full_label(self):\\n return Card.ranks[self.ranks[0]] + '-High' if self.rank == 0 else \\\\\\n self.get_label()\",\n \"def _get_lowest_order_label_indices(self):\\n indices = OrderedDict()\\n for i, term in enumerate(self.label_vector):\\n if len(term) > 1: continue\\n label, order = term[0]\\n if order < indices.get(label, [None, np.inf])[-1]:\\n indices[label] = (i, order)\\n return [indices.get(label, [None])[0] for label in self.labels]\",\n \"def get_label(repo, title, verbose=None):\\n if verbose:\\n print \\\"Checking for label...\\\"\\n label = None\\n label_text = None\\n try:\\n label_start = 1 + title.index('(')\\n label_end = title.index(')')\\n label_text = title[label_start:label_end]\\n except ValueError, e:\\n print \\\"Warning: This tile has no embeded label. {0}\\\".format(e)\\n if label_text:\\n try:\\n label = [repo.get_label(label_text)]\\n if verbose:\\n print \\\"Found label: {0}\\\".format(label)\\n except UnknownObjectException, e:\\n print \\\"Error: The label '{0}' does not exist on \\\" \\\\\\n \\\"Github. {1}\\\".format(label_text, e)\\n return label\",\n \"def label(self):\\n return self.label_\",\n \"def label_index(self):\\n return self._label_index\",\n \"def label_index(self):\\n return self._label_index\",\n \"def label(self):\\r\\n return self._label\",\n \"def get_index(self, label):\\n if label in self.labels:\\n return self.labels.index(label)\\n else:\\n self.labels.append(label)\\n return self.labels.index(label)\",\n \"def GetLabel(self):\\r\\n\\r\\n return self.label\",\n \"def GetLabel(self):\\r\\n\\r\\n return self.label\",\n \"def labels(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:\\n return pulumi.get(self, \\\"labels\\\")\",\n \"def labels(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:\\n return pulumi.get(self, \\\"labels\\\")\",\n \"def labels(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:\\n return pulumi.get(self, \\\"labels\\\")\",\n \"def labels(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:\\n return pulumi.get(self, \\\"labels\\\")\",\n \"def labelIndex(self, label):\\n for idx, taskDef in enumerate(self):\\n if taskDef.label == label:\\n return idx\\n return -1\",\n \"def get_label ( self ):\\n return self.label\",\n \"def label_index(self, label: Text) -> int:\\n count = 0\\n for l in self.le.classes_:\\n if(l == label):\\n return count\\n count += 1\",\n \"def get_item_from_label(self, label):\\n idx = self.labels.index(label)\\n item = self[idx][0]\\n return item\",\n \"def _get_label(cls, file_name):\\n if cls == \\\"neg\\\":\\n return \\\"0\\\"\\n else:\\n return \\\"1\\\"\\n # reg = _REGEX_\\n # rmtch = reg.match(file_name)\\n # if rmtch:\\n # return rmtch.groupdict()[\\\"label\\\"]\\n # else:\\n # return \\\"unknown_positive\\\"\",\n \"def get_label(self):\\n return self._label\",\n \"def label(self):\\n return self._label\",\n \"def label(self):\\n return self._label\",\n \"def label(self):\\n return self._label\",\n \"def label(self):\\n return self._label\",\n \"def label(self):\\n return self._label\",\n \"def label(self):\\n return self._label\",\n \"def label(self):\\n return self._label\",\n \"def label(self):\\n return self._label\",\n \"def label(self):\\n return self._label\",\n \"def label(self):\\n return self._label\",\n \"def __get_ohe_label__(self, label_idx) -> List[int]:\\n\\n label = [0] * self.n_classes\\n label[label_idx] = 1\\n\\n return label\",\n \"def groupByLabel( y ):\\n index = []\\n for i in np.unique(y): # pour toutes les classes\\n ind, = np.where(y==i)\\n index.append(ind)\\n \\n return index\",\n \"def _get_label ( self ):\\n if self._label is not None:\\n return self._label\\n return 'Column %d' % (self.index + 1)\",\n \"def label(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"label\\\")\",\n \"def label(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"label\\\")\",\n \"def label(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"label\\\")\",\n \"def label(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"label\\\")\",\n \"def label(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"label\\\")\",\n \"def label(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"label\\\")\",\n \"def label(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"label\\\")\",\n \"def get_index(observable_nodes, label):\\n for k in observable_nodes:\\n if label in observable_nodes[k]:\\n return observable_nodes[k][label]['category']\",\n \"def get_step_label_at_index(self, index):\\n return self[index][1]\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.8280834","0.68157196","0.6787128","0.67655355","0.67253506","0.6636867","0.6554082","0.65352005","0.65143234","0.6482284","0.64466333","0.64403844","0.64376044","0.64165425","0.6404469","0.6386726","0.6379","0.6357332","0.6351127","0.6299424","0.6292083","0.62911296","0.62755877","0.62585104","0.62415445","0.62302303","0.6224106","0.6199329","0.6184269","0.61482066","0.61385834","0.6106509","0.609701","0.6070404","0.6053192","0.6035865","0.60317403","0.59976023","0.59923095","0.5990666","0.5975933","0.5963921","0.5956885","0.5951741","0.5944629","0.5938593","0.59381944","0.5932288","0.5919918","0.5918456","0.5916084","0.5916084","0.5916084","0.5916084","0.58997846","0.58988625","0.5895392","0.5894991","0.5887327","0.5885303","0.5882375","0.58757913","0.58617455","0.58617455","0.5846243","0.5837844","0.58283675","0.58283675","0.5824445","0.5824445","0.5824445","0.5824445","0.58238685","0.5818455","0.58162856","0.5805997","0.5796282","0.57866","0.5778087","0.5778087","0.5778087","0.5778087","0.5778087","0.5778087","0.5778087","0.5778087","0.5778087","0.5778087","0.57772666","0.57693225","0.5761065","0.57538694","0.57538694","0.57538694","0.57538694","0.57538694","0.57538694","0.57538694","0.5753642","0.57533014"],"string":"[\n \"0.8280834\",\n \"0.68157196\",\n \"0.6787128\",\n \"0.67655355\",\n \"0.67253506\",\n \"0.6636867\",\n \"0.6554082\",\n \"0.65352005\",\n \"0.65143234\",\n \"0.6482284\",\n \"0.64466333\",\n \"0.64403844\",\n \"0.64376044\",\n \"0.64165425\",\n \"0.6404469\",\n \"0.6386726\",\n \"0.6379\",\n \"0.6357332\",\n \"0.6351127\",\n \"0.6299424\",\n \"0.6292083\",\n \"0.62911296\",\n \"0.62755877\",\n \"0.62585104\",\n \"0.62415445\",\n \"0.62302303\",\n \"0.6224106\",\n \"0.6199329\",\n \"0.6184269\",\n \"0.61482066\",\n \"0.61385834\",\n \"0.6106509\",\n \"0.609701\",\n \"0.6070404\",\n \"0.6053192\",\n \"0.6035865\",\n \"0.60317403\",\n \"0.59976023\",\n \"0.59923095\",\n \"0.5990666\",\n \"0.5975933\",\n \"0.5963921\",\n \"0.5956885\",\n \"0.5951741\",\n \"0.5944629\",\n \"0.5938593\",\n \"0.59381944\",\n \"0.5932288\",\n \"0.5919918\",\n \"0.5918456\",\n \"0.5916084\",\n \"0.5916084\",\n \"0.5916084\",\n \"0.5916084\",\n \"0.58997846\",\n \"0.58988625\",\n \"0.5895392\",\n \"0.5894991\",\n \"0.5887327\",\n \"0.5885303\",\n \"0.5882375\",\n \"0.58757913\",\n \"0.58617455\",\n \"0.58617455\",\n \"0.5846243\",\n \"0.5837844\",\n \"0.58283675\",\n \"0.58283675\",\n \"0.5824445\",\n \"0.5824445\",\n \"0.5824445\",\n \"0.5824445\",\n \"0.58238685\",\n \"0.5818455\",\n \"0.58162856\",\n \"0.5805997\",\n \"0.5796282\",\n \"0.57866\",\n \"0.5778087\",\n \"0.5778087\",\n \"0.5778087\",\n \"0.5778087\",\n \"0.5778087\",\n \"0.5778087\",\n \"0.5778087\",\n \"0.5778087\",\n \"0.5778087\",\n \"0.5778087\",\n \"0.57772666\",\n \"0.57693225\",\n \"0.5761065\",\n \"0.57538694\",\n \"0.57538694\",\n \"0.57538694\",\n \"0.57538694\",\n \"0.57538694\",\n \"0.57538694\",\n \"0.57538694\",\n \"0.5753642\",\n \"0.57533014\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.851758"},"document_rank":{"kind":"string","value":"0"}}},{"rowIdx":20497,"cells":{"query":{"kind":"string","value":"instantiates a Story object from an elementTree node, build child notes and attachment lists"},"document":{"kind":"string","value":"def from_json(cls, node):\n\n story = Story()\n story.story_id = _parse_int(node, 'id')\n story.name = _parse_text(node, 'name')\n story.owned_by = _parse_text(node, 'owned_by')\n story.story_type = _parse_text(node, 'story_type')\n story.state = _parse_text(node, 'current_state')\n story.description = _parse_text(node, 'description')\n story.estimate = _parse_int(node, 'estimate')\n story.labels = _parse_array(node, 'labels')\n story.url = _parse_text(node, 'url')\n story.project_id = _parse_int(node, 'project_id')\n\n note_nodes = node.get('notes')\n if note_nodes is not None:\n for note_node in note_nodes:\n note_id = _parse_int(note_node, 'id')\n text = _parse_text(note_node, 'text')\n author = _parse_text(note_node, 'author')\n story.notes.append(Note(note_id, text, author))\n\n attachment_nodes = node.get('attachments')\n if attachment_nodes is not None:\n for attachment_node in attachment_nodes:\n attachment_id = _parse_int(attachment_node, 'id')\n description = _parse_text(attachment_node, 'text')\n url = _parse_text(attachment_node, 'url')\n story.attachments.append(Attachment(attachment_id,description,url))\n\n task_nodes = node.get('tasks')\n if task_nodes is not None:\n for task_node in task_nodes:\n task_id = _parse_int(task_node, 'id')\n description = _parse_text(task_node, 'description')\n complete = _parse_boolean(task_node, 'complete')\n story.tasks.append(Task(task_id, description, complete))\n\n\n\n return story"},"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 from_node(cls, node):\r\n\r\n story = Story()\r\n story.story_id = _parse_text(node, 'id')\r\n story.name = _parse_text(node, 'name')\r\n story.owned_by = _parse_text(node, 'owned_by')\r\n story.story_type = _parse_text(node, 'story_type')\r\n story.state = _parse_text(node, 'current_state')\r\n story.description = _parse_text(node, 'description')\r\n story.estimate = _parse_int(node, 'estimate')\r\n story.labels = _parse_text(node, 'labels')\r\n story.url = _parse_text(node, 'url')\r\n story.project_id = _parse_text(node, 'project_id')\r\n\r\n note_nodes = node.find('notes')\r\n if note_nodes is not None:\r\n for note_node in note_nodes:\r\n note_id = _parse_text(note_node, 'id')\r\n text = _parse_text(note_node, 'text')\r\n author = _parse_text(note_node, 'author')\r\n story.notes.append(Note(note_id, text, author))\r\n\r\n attachment_nodes = node.find('attachments')\r\n if attachment_nodes is not None:\r\n for attachment_node in attachment_nodes:\r\n attachment_id = _parse_text(attachment_node, 'id')\r\n description = _parse_text(attachment_node, 'text')\r\n url = _parse_text(attachment_node, 'url')\r\n story.attachments.append(Attachment(attachment_id,description,url))\r\n\r\n task_nodes = node.find('tasks')\r\n if task_nodes is not None:\r\n for task_node in task_nodes:\r\n task_id = _parse_text(task_node, 'id')\r\n description = _parse_text(task_node, 'description')\r\n complete = _parse_boolean(task_node, 'complete')\r\n story.tasks.append(Task(task_id, description, complete))\r\n\r\n\r\n\r\n return story","def FromXml(as_xml):\n try:\n parsed = minidom.parseString(as_xml)\n except:\n #this is just necessary for python2\n parsed = minidom.parseString(as_xml.encode('utf-8'))\n story = Story()\n story.story_id = int(parsed.getElementsByTagName('id')[0].firstChild.data)\n story.url = parsed.getElementsByTagName('url')[0].firstChild.data\n story.owned_by = XmlDocument.GetDataFromTag(parsed, 'owned_by')\n story.created_at = XmlDocument.ParseDatetimeIntoSecs(parsed, 'created_at')\n story.updated_at = XmlDocument.ParseDatetimeIntoSecs(parsed, 'updated_at')\n story.requested_by = XmlDocument.GetDataFromTag(parsed, 'requested_by')\n iteration = XmlDocument.GetDataFromTag(parsed, 'number')\n story.jira_url = XmlDocument.GetDataFromTag(parsed, 'jira_url')\n story.jira_id = XmlDocument.GetDataFromTag(parsed, 'jira_id')\n story.zendesk_url = XmlDocument.GetDataFromTag(parsed, 'zendesk_url')\n story.zendesk_id = XmlDocument.GetDataFromTag(parsed, 'zendesk_id')\n\n if iteration:\n story.iteration_number = int(iteration)\n\n tasks = XmlDocument.GetTagListForTag(parsed, \"task\")\n if tasks is not None:\n story.tasks = []\n for task in tasks:\n storyTaskDictionary = dict(description=None, complete=False, id=None)\n storyTaskDictionary['description'] = XmlNodeList.toText(task.getElementsByTagName(\"description\"))\n storyTaskDictionary['complete'] = XmlNodeList.toBool(task.getElementsByTagName('complete'))\n storyTaskDictionary['id'] = XmlNodeList.toText(task.getElementsByTagName(\"id\"))\n story.tasks.append(Task.FromDictionary(storyTaskDictionary))\n\n story.SetStoryType(\n parsed.getElementsByTagName('story_type')[0].firstChild.data)\n story.SetCurrentState(\n parsed.getElementsByTagName('current_state')[0].firstChild.data)\n story.SetName(XmlDocument.GetDataFromTag(parsed, 'name'))\n story.SetDescription(XmlDocument.GetDataFromTag(parsed, 'description'))\n story.SetDeadline(XmlDocument.ParseDatetimeIntoSecs(parsed, 'deadline'))\n\n estimate = XmlDocument.GetDataFromTag(parsed, 'estimate')\n if estimate is not None:\n story.estimate = estimate\n labels = XmlDocument.GetDataFromTag(parsed, 'labels')\n if labels is not None:\n story.AddLabelsFromString(labels)\n\n story.ClearUpdatedFields()\n return story","def _parse(self, tree):\n date_el = self.get_etree().xpath(DATE_XP)[0]\n self.date = date_el.attrib['value']\n self.year, self.month, self.day = self.date.split('-')\n self.date_text = date_el.text\n\n def resolve_type(element):\n return element.attrib.get('type', '').lower().strip('. ')\n\n def index_entity(nodes, model, article):\n for n in nodes:\n m = model(n, article)\n if m.ok:\n db.session.add(m)\n\n def get_html(article):\n return html.tostring(tei.build(etree.Element('article'), article))\n\n root = self.get_etree()\n for section in root.xpath('//div1'):\n section_type = resolve_type(section)\n if not section_type:\n continue\n for subsection in section.xpath('./div2'):\n subsection_type = resolve_type(subsection)\n if not subsection_type:\n continue\n for article in subsection.xpath('./div3'):\n article_type = resolve_type(article)\n if article_type == 'ad-blank':\n continue\n a = Article(issue_id=self.id,\n date=self.date,\n section_type=section_type,\n subsection_type=subsection_type,\n article_type=article_type,\n xpath=root.getpath(article),\n content=get_html(article))\n db.session.add(a)\n db.session.flush()\n index_entity(article.xpath('.//persName'), PersName, a)\n index_entity(article.xpath('.//placeName'), PlaceName, a)\n index_entity(article.xpath('.//orgName'), OrgName, a)\n index_entity(article.xpath('.//rs'), RefString, a)","def __init__(self, song):\n self.root = TreeNode(-1, 0, None)\n\n rolling_writers = [self.root]\n n = len(song[\"dTseqs\"])\n\n for i in range(n):\n next_note = (song[\"dTseqs\"][i], song[\"tseqs\"][i], song[\"pitchseqs\"][i])\n # add the next note to the tree and let the writers go down one level\n rolling_writers = [writer.add_child_and_move(next_note) for writer in rolling_writers]\n # append a new writer\n rolling_writers.append(self.root)","def from_xml_node(cls, xml_node):\n\n steps = XML_List.from_xml_node_by_tags(xml_node, Elements.STEPS, Elements.STEP, Ticket_Step)\n workflow_node = get_xml_node(xml_node, Elements.WORKFLOW)\n workflow = Workflow.from_xml_node(workflow_node)\n subject = get_xml_text_value(xml_node, Elements.SUBJECT)\n requester = get_xml_text_value(xml_node, Elements.REQUESTER)\n requester_id = get_xml_int_value(xml_node, Elements.REQUESTER_ID)\n ticket_id = get_xml_int_value(xml_node, Elements.ID)\n priority = get_xml_text_value(xml_node, Elements.PRIORITY)\n status = get_xml_text_value(xml_node, Elements.STATUS)\n domain_name = get_xml_text_value(xml_node, Elements.DOMAIN_NAME)\n sla_status = get_xml_text_value(xml_node, Elements.SLA_STATUS)\n sla_outcome = get_xml_text_value(xml_node, Elements.SLA_OUTCOME)\n expiration_field_name = get_xml_text_value(xml_node, Elements.EXPIRATION_FIELD_NAME)\n expiration_date = get_xml_text_value(xml_node, Elements.EXPIRATION_DATE)\n\n current_step_node = get_xml_node(xml_node, Elements.CURRENT_STEP, True)\n if current_step_node:\n current_step = Current_Step.from_xml_node(current_step_node)\n else:\n current_step = None\n\n application_details_node = get_xml_node(xml_node, Elements.APPLICATION_DETAILS, True)\n if application_details_node:\n application_details = Application_Details.from_xml_node(application_details_node)\n else:\n application_details = None\n\n comments = XML_List.from_xml_node_by_tags(xml_node, Elements.COMMENTS, Elements.COMMENT, Ticket_Comment, True)\n return cls(workflow, current_step, subject, ticket_id, priority, status, domain_name, sla_status, sla_outcome,\n expiration_field_name, expiration_date, steps, comments, requester, application_details,\n requester_id)","def parse(self, article: BeautifulSoup):\n # Need to find content in a different manner for each of the different sitetypes.\n # Read this as studio, video, article etc.\n # Assume that only articles ask for this functionality\n\n title = self.get_title(article)\n sub_title = self.get_sub_title(article)\n words = self.get_words(article)\n journalists = self.get_journalist(article)\n images = self.get_images(article)\n subscription = self.get_subscription(article)\n content_list = self.get_content(article)\n\n if not title:\n title = self.headline.revisions[0].title\n\n revision = Revision(timestamp=datetime.datetime.now(pytz.timezone(\"Europe/Oslo\")), title=title, sub_title=sub_title, words=words, subscription=subscription)\n\n article = Article(news_site=self.news_site, headline=self.headline)\n\n return revision, article, journalists, images, content_list","def part_from_xml(cls, xml_score_part, xml_tree, song):\n part = cls()\n part.set_xml(xml_score_part, xml_tree)\n part.name = part.get_xml_part_name(xml_score_part)\n part.song = song\n\n return part","def __init__(self,element,parent=None,children=None, state=None, player=None):\n self._element = element\n self._parent = parent\n if children is None:\n self._children = []\n self._state = state\n self._player = player","def FromXML(cls, doc, element):\n for subelem in list(element):\n tag = realtag(subelem)\n if tag == \"times\":\n times = INumberDef(subelem.text)\n elif tag == \"action\":\n action = ActionDef.FromXML(doc, subelem)\n elif tag == \"actionRef\":\n action = ActionRef.FromXML(doc, subelem)\n try:\n return cls(times, action)\n except UnboundLocalError as exc:\n raise ParseError(str(exc))","def _build_story(self, all_rows):\n all_stories = [] # list to hold all stories\n\n for (info, detail) in all_rows:\n\n #-- Get the into about a story --#\n info_cells = info.findAll('td') # split in 3 cells\n\n rank = int(info_cells[0].string[:-1])\n title = info_cells[2].find('a').string.encode('utf-8')\n link = info_cells[2].find('a').get('href')\n\n is_self = False # by default all stories are linking posts\n\n if link.find('http') is -1 : # the link doesn't contains \"http\" meaning an internal link\n link = '%s/%s' % (BASE_URL, link)\n domain = BASE_URL\n is_self = True\n else:\n domain = info_cells[2].find('span').string[2:-2] # slice \" (abc.com) \"\n #-- Get the into about a story --#\n\n #-- Get the detail about a story --#\n detail_cell = detail.findAll('td')[1] # split in 2 cells, we need only second\n detail_concern = detail_cell.contents # list of details we need, 5 count\n\n if re.match(r'^(\\d+)\\spoint.*', detail_concern[0].string) is not None:\n # can be a link or self post\n points = int(re.match(r'^(\\d+)\\spoint.*', detail_concern[0].string).groups()[0])\n submitter = detail_concern[2].string.encode('utf-8')\n submitter_profile = '%s/%s' % (BASE_URL, detail_concern[2].get('href'))\n published_time = ' '.join(detail_concern[3].strip().split()[:3])\n comment_tag = detail_concern[4]\n story_id = int(re.match(r'.*=(\\d+)', comment_tag.get('href')).groups()[0])\n comments_link = '%s/item?id=%d' % (BASE_URL, story_id)\n comment_count = re.match(r'(\\d+)\\s.*', comment_tag.string)\n try:\n # regex matched, cast to int\n num_comments = int(comment_count.groups()[0])\n except AttributeError:\n # did not match, assign 0\n num_comments = 0\n else: # this is a job post\n points = 0\n submitter = None\n submitter_profile = None\n published_time = detail_concern[0]\n comment_tag = None\n try:\n story_id = int(re.match(r'.*=(\\d+)', link).groups()[0])\n except AttributeError:\n story_id = None # job listing that points to external link\n comments_link = None\n comment_count = 0\n #-- Get the detail about a story --#\n\n story = {\n \"rank\": rank,\n \"story_id\": story_id,\n \"title\": title,\n \"link\": link,\n \"domain\": domain,\n \"points\": points,\n \"submitter\": submitter,\n \"published_time\": published_time,\n \"submitter_profile\": submitter_profile,\n \"num_comments\": num_comments,\n \"comments_link\": comments_link,\n \"is_self\": is_self\n\n }\n all_stories.append(story)\n\n return all_stories","def from_node(self, root):\n \n self.set_at_from_string(root.getAttribute(\"at\"))\n self.action = root.getAttribute(\"action\")\n self.actor = root.getAttribute(\"actor\")\n self.regarding = root.getAttribute(\"regarding\")\n self.source = root.getAttribute(\"source\")\n self.tags = root.getAttribute(\"tags\").split(\",\")\n self.to = root.getAttribute(\"to\")\n self.url = root.getAttribute(\"url\")\n\n for node in root.childNodes:\n if node.tagName == 'payload':\n for subnode in node.childNodes:\n if subnode.tagName == 'body':\n self.body = subnode.childNodes[0].nodeValue\n elif subnode.tagName == 'raw':\n self.raw = subnode.childNodes[0].nodeValue","def __init__(self, article_xml):\n self.article_xml = article_xml\n self.links = self.grab_links()\n self.first_link = self.parse_first_link()","def __init__(self, settings, conflict):\n #generates the initial setting\n self.start_setting = random.choice(settings)\n self.current_setting = self.start_setting\n\n #gets a random character from possible setting characters as protagonist\n self.protag = random.choice(self.start_setting.characters)\n\n #selects as antagonist a random character that either the protagonist knows or is related\n #to the setting\n antaglist = list(set(self.protag.characters).union(self.start_setting.characters))\n self.antag = random.choice(antaglist)\n\n self.antag.set_protagonist(self.protag)\n self.protag.set_antagonist(self.antag)\n\n #lays out the basic story relations\n self.subsections = []\n\n for relation_outline in conflict.conflict_outline: \n subsection = Subsection() \n subsection.init_from_outline(relation_outline, self.protag, self.current_setting)\n self.subsections.append(subsection)\n\n #connects the rest of the story together\n self.details = []","def _build(self):\n xml = ET.parse(self.fn)\n root = xml.getroot()\n\n metadata = None\n trk = None\n self.prefix = root.tag[:-3]\n metadata = root.find(self._get_tag('metadata'))\n # print(metadata.find(self._get_tag('time')))\n trk = root.find(self._get_tag('trk'))\n\n trkseg = trk.find(self._get_tag('trkseg'))\n\n # I just wanted to flatten the track point and get the\n # fields that I am actually interested in.\n def walker(node):\n nonlocal data\n tags = {'lat': float,\n 'lon': float,\n 'ele': float,\n 'time': cvt_time,\n 'temp': float,\n 'hr': float}\n for tag in tags:\n if node.tag.find(tag) >= 0:\n data[tag] = tags[tag](node.text)\n for child in node:\n walker(child)\n\n for trkpt in trkseg.findall(self._get_tag('trkpt')):\n data = {}\n data['lat'] = trkpt.attrib['lat']\n data['lon'] = trkpt.attrib['lon']\n walker(trkpt)\n self.points.append(TrackPoint(**data))","def _convert_story_send_to_story_tag(self, ss_tag_orig):\n # take a copy to preserve the original\n ss_tag = copy.deepcopy(ss_tag_orig)\n # change <roStorySend> to <story>\n ss_tag.tag = 'story'\n for item in ss_tag.find('storyBody').findall('storyItem'):\n # change <storyItem> to <item>\n item.tag = 'item'\n story_body, story_body_index = find_child(parent=ss_tag, child_tag='storyBody')\n children = list(story_body)\n # move all children of <storyBody> to <story>\n for sb_index, child in enumerate(children, start=story_body_index):\n insert_node(parent=ss_tag, node=child, index=sb_index)\n remove_node(parent=ss_tag, node=story_body)\n return ss_tag","def __init__(self, content=None):\n for elem in content:\n self.append(self.convertNode(elem))","def __init__(self, node: etree.Element) -> None:\n self.node = node\n\n child_tags: t.MutableMapping[str, t.MutableSequence[etree.Element]] = {}\n for child in node:\n if child.tag in child_tags:\n child_tags[child.tag].append(child)\n else:\n child_tags[child.tag] = [child]\n\n # 'Freeze' the child tags attribute so that it appears immutable\n self.child_tags: t.Mapping[str, t.Sequence[etree.Element]] = child_tags","def from_xml_node(cls, xml_node):\n step_id = get_xml_int_value(xml_node, Elements.ID)\n step_name = get_xml_text_value(xml_node, Elements.NAME)\n skipped = get_xml_text_value(xml_node, Elements.SKIPPED)\n redone = get_xml_text_value(xml_node, Elements.REDONE)\n tasks = XML_List.from_xml_node_by_tags(xml_node, Elements.TASKS, Elements.TASK, Step_Task)\n return cls(step_id, step_name, redone, skipped, tasks)","def from_xml_node(cls, xml_node):\n date = get_xml_text_value(xml_node, Elements.DATE)\n performed_by = get_xml_text_value(xml_node, Elements.PERFORMED_BY)\n description = get_xml_text_value(xml_node, Elements.DESCRIPTION)\n step_name = get_xml_text_value(xml_node, Elements.STEP_NAME)\n task_name = get_xml_text_value(xml_node, Elements.TASK_NAME)\n return cls(date, performed_by, description, step_name, task_name)","def test_auto_add_assets_to_story(self):\n # Create a story\n title = ('Transportation Challenges Limit Education Choices for '\n 'Denver Parents')\n summary = \"\"\"\n Many families in the Denver metro area use public\n transportation instead of a school bus because for them, a\n quality education is worth hours of daily commuting. Colorado's\n school choice program is meant to foster educational equity,\n but the families who benefit most are those who have time and\n money to travel. Low-income families are often left in a lurch.\n \"\"\"\n byline = \"Mile High Connects\"\n story = create_story(title=title, summary=summary, byline=byline)\n # Confirm that the story has no assets\n self.assertEqual(story.assets.count(), 0)\n # create a Section\n section = create_section(title=\"Test Section 1\", story=story)\n # create a HtmlAsset\n asset = HtmlAsset()\n asset.save()\n translation = HtmlAssetTranslation(title='Test Asset', asset=asset)\n translation.save()\n # Assign the asset to the section\n section_asset = SectionAsset(section=section, asset=asset, weight=0)\n section_asset.save()\n # Confirm the asset is in the section's list\n self.assertTrue(asset in section.assets.select_subclasses())\n # Confirm that the asset is in the story's list\n self.assertTrue(asset in story.assets.select_subclasses())","def parse(self):\n def _parse_pathway(attrib):\n for k, v in attrib.items():\n self.pathway.__setattr__(k, v)\n\n def _parse_entry(element):\n new_entry = Entry()\n for k, v in element.attrib.items():\n new_entry.__setattr__(k, v)\n for subelement in element.getchildren():\n if subelement.tag == 'graphics':\n _parse_graphics(subelement, new_entry)\n elif subelement.tag == 'component':\n _parse_component(subelement, new_entry)\n self.pathway.add_entry(new_entry)\n\n def _parse_graphics(element, entry):\n new_graphics = Graphics(entry)\n for k, v in element.attrib.items():\n new_graphics.__setattr__(k, v)\n entry.add_graphics(new_graphics)\n\n def _parse_component(element, entry):\n new_component = Component(entry)\n for k, v in element.attrib.items():\n new_component.__setattr__(k, v)\n entry.add_component(new_component)\n\n def _parse_reaction(element):\n new_reaction = Reaction()\n for k, v in element.attrib.items():\n new_reaction.__setattr__(k, v)\n for subelement in element.getchildren():\n if subelement.tag == 'substrate':\n new_reaction.add_substrate(int(subelement.attrib['id']))\n elif subelement.tag == 'product':\n new_reaction.add_product(int(subelement.attrib['id']))\n self.pathway.add_reaction(new_reaction)\n\n def _parse_relation(element):\n new_relation = Relation()\n new_relation.entry1 = int(element.attrib['entry1'])\n new_relation.entry2 = int(element.attrib['entry2'])\n new_relation.type = element.attrib['type']\n for subtype in element.getchildren():\n name, value = subtype.attrib['name'], subtype.attrib['value']\n if name in ('compound', 'hidden compound'):\n new_relation.subtypes.append((name, int(value)))\n else:\n new_relation.subtypes.append((name, value))\n self.pathway.add_relation(new_relation)\n\n #==========#\n # Initialise Pathway\n self.pathway = Pathway()\n # Get information about the pathway itself\n _parse_pathway(self.entry.attrib)\n for element in self.entry.getchildren():\n if element.tag == 'entry':\n _parse_entry(element)\n elif element.tag == 'reaction':\n _parse_reaction(element)\n elif element.tag == 'relation':\n _parse_relation(element)\n # Parsing of some elements not implemented - no examples yet\n else:\n # This should warn us of any unimplemented tags\n print \"Warning: tag %s not implemented in parser\" % element.tag\n return self.pathway","def _setup(self) -> None:\n\t\t# Set name from tag\n\t\tself.name = self._element.tag\n\n\t\t# Get attributes and add them to the attributes list\n\t\tfor attribute in self._element.attrib:\n\t\t\tself.attributes.append(attribute)\n\n\t\t# Get Children, add them to their respective lists\n\t\tchild: ET.Element\n\t\tfor child in self._element:\n\t\t\t# Determine if child is a SubNode or a Node\n\t\t\t# If child has children or attributes it is a Node\n\t\t\tif len(child) or len(child.attrib):\n\t\t\t\t# Add Node\n\t\t\t\tself.add_node(Node(child))\n\t\t\telse:\n\t\t\t\tself.add_subnode(SubNode(child))","def reconstruct_harlowe_html(story_attribs, other_elems, passages):\n\n passages_html = '\\n'.join([str(passage_obj) for _, passage_obj in passages.items()])+'\\n'\n\n story_elem = etree.Element(_STORY_TAG, story_attribs)\n if other_elems:\n story_elem.extend(other_elems)\n\n story_html = etree.tostring(story_elem, encoding='unicode')\n\n # Add the passages_html in by hand, since adding it to an xml element would escape\n # all of the angle brackets, turning them into < and >\n before, sep, after = story_html.partition('</'+_STORY_TAG+'>')\n story_html = before+passages_html+sep+after\n\n return story_html","def populate_dummy(portal):\n\n article_fld = portal['articles-folder']\n # Create some articles with combinations of 3 tags\n\n create_article(\n container=article_fld,\n title=\"Article 1a\",\n subject=['tag1'],\n )\n create_article(\n container=article_fld,\n title=\"Article 2a\",\n subject=['tag2'],\n )\n create_article(\n container=article_fld,\n title=\"Article 3a\",\n subject=['tag3'],\n )\n create_article(\n container=article_fld,\n title=\"Article 1b\",\n subject=['tag1'],\n )\n create_article(\n container=article_fld,\n title=\"Article 12a\",\n subject=['tag1', 'tag2'],\n )\n create_article(\n container=article_fld,\n title=\"Article 123a\",\n subject=['tag1', 'tag2', 'tag3'],\n )\n\n create_article(\n container=article_fld,\n title=\"Article H\",\n subject=['htag'],\n )\n create_article(\n container=article_fld,\n title=\"Article H2a\",\n subject=['htag', 'tag2'],\n )\n\n # htag is highlighted in navigation\n portal['tags-folder']['htag'].highlight_in_navigation = True\n # Add some text and an 'image' to htag\n portal['tags-folder']['htag'].text = 'Highlighted tag text'\n portal['tags-folder']['htag'].image = 'Highlighted tag image'","def FromXML(cls, doc, element):\n actions = []\n speed = None\n direction = None\n tags = set()\n for subelem in list(element):\n tag = realtag(subelem)\n if tag == \"direction\":\n direction = Direction.FromXML(doc, subelem)\n elif tag == \"speed\":\n speed = Speed.FromXML(doc, subelem)\n elif tag == \"action\":\n actions.append(ActionDef.FromXML(doc, subelem))\n elif tag == \"actionRef\":\n actions.append(ActionRef.FromXML(doc, subelem))\n elif tag == \"tag\":\n tags.add(subelem.text)\n dfn = cls(actions, direction, speed, tags)\n doc._bullets[element.get(\"label\")] = dfn\n return dfn","def __init__(self, xml_node: ET.Element) -> None:\n\t\t# Call super\n\t\tsuper(__class__, self).__init__()\n\t\t# Set blank variables\n\t\tself.nodes: List[Node] = []\n\t\tself.attributes = []\n\t\tself.subfiles = set()\n\t\tself.nested = False\n\t\t# Set _element\n\t\tself._element = xml_node\n\t\t# Call _setup() to setup node, uses _element\n\t\tself._setup()","def from_xml_node(cls, xml_node):\n content = get_xml_text_value(xml_node, Elements.CONTENT)\n created = get_xml_text_value(xml_node, Elements.CREATED)\n task_name = get_xml_text_value(xml_node, Elements.TASK_NAME)\n comment_type = get_xml_text_value(xml_node, Elements.TYPE)\n user = get_xml_text_value(xml_node, Elements.USER)\n return cls(content, created, task_name, comment_type, user)","def __init__(self, content: _content_type):\n self.content = content\n self.children: List[Nodo] = []","def from_xml_node(cls, xml_node):\n step_id = get_xml_int_value(xml_node, Elements.ID)\n step_name = get_xml_text_value(xml_node, Elements.NAME)\n return cls(step_id, step_name)","def filter_articles(tree: ElementTree, issue_num: str) -> List[Article]: \n root = tree.getroot()\n articles: List[Article] = []\n article_tags = root.findall('.//item')\n for article_tag in article_tags:\n if not is_for_issue(article_tag, issue_num):\n continue\n article = Article()\n #possible optimization, instead of calling find several times,\n #loop through tag children once and parse out data as we run into it\n article.title = article_tag.find('title').text\n #we will post process this later\n article.author = 'UNKNOWN AUTHOR'\n article_text_content = article_tag.find('content:encoded', XML_NS).text\n article.content = BeautifulSoup(article_text_content, 'html.parser')\n articles.append(article)\n return articles","def _process_data(self, wiki_xml):\r\n MEDIAWIKI_NS = 'http://www.mediawiki.org/xml/export-0.3/'\r\n sequences = []\r\n lw_url_re = re.compile(r'\\[(http://lesswrong\\.com/lw/[^ ]+) [^\\]]+\\]')\r\n\r\n for page in wiki_xml.getroot().iterfind('.//{%s}page' % MEDIAWIKI_NS): # TODO: Change to use iterparse\r\n # Get the titles\r\n title = page.findtext('{%s}title' % MEDIAWIKI_NS)\r\n\r\n # See if this page is a sequence page\r\n sequence_elem = page.xpath(\"mw:revision[1]/mw:text[contains(., '[[Category:Sequences]]')]\", namespaces={'mw': MEDIAWIKI_NS})\r\n\r\n if sequence_elem:\r\n sequence_elem = sequence_elem[0]\r\n articles = []\r\n\r\n # Find all the lesswrong urls\r\n for match in lw_url_re.finditer(sequence_elem.text):\r\n article_url = UrlParser(match.group(1))\r\n\r\n # Only store the path to the article\r\n article_path = article_url.path\r\n\r\n # Ensure path ends in slash\r\n if article_path[-1] != '/':\r\n article_path += '/'\r\n\r\n articles.append(article_path)\r\n\r\n sequences.append({\r\n 'title': title,\r\n 'articles': articles\r\n })\r\n return {'sequences': sequences}","def __init__(self, id, left, right, parent, depth, kind, text, relname, relkind):\n\n\t\tself.id = id\n\t\tself.parent = parent\n\t\tself.left = left\n\t\tself.right = right\n\t\tself.depth = depth\n\t\tself.kind = kind #edu, multinuc or span node\n\t\tself.text = text #text of an edu node; empty for spans/multinucs\n\t\tself.token_count = text.count(\" \") + 1\n\t\tself.relname = relname\n\t\tself.relkind = relkind #rst (a.k.a. satellite), multinuc or span relation\n\t\tself.sortdepth = depth\n\t\tself.children = []\n\t\tself.leftmost_child = \"\"\n\t\tself.dep_parent = \"\"\n\t\tself.dep_rel = relname\n\t\tself.tokens = []\n\t\tself.parse = \"\"","def fill_in_toc(xml, title=None, author=None, uid=None, names=None, headings=None):\n ncx = xml.getroot()\n if uid:\n head = ncx.find(DAISY + \"head\")\n meta_uid = head.find('./' + DAISY + 'meta[@name=\"dtb:uid\"]')\n meta_uid.set(\"content\", uid)\n if title:\n docTitle = ncx.find(DAISY + \"docTitle\")\n text = docTitle.find(DAISY + \"text\")\n text.text = title\n if author:\n docAuthor = ncx.find(DAISY + \"docAuthor\")\n text = docAuthor.find(DAISY + \"text\")\n text.text = author\n\n #\n # If a list of names is provided, clear the navMap and add the\n # names in the order provided.\n #\n if names:\n #\n # Remove any existing navMap\n #\n navMap = ncx.find(DAISY + \"navMap\")\n for c in navMap.iterchildren():\n navMap.remove(c)\n\n index = 1\n other_names = set(['front', 'toc'])\n content_names = set(name for name in names if name not in other_names)\n for name in names:\n if name in other_names:\n #\n # FIXME: The intention is to do something fancy\n # with title pages, TOCs etc. For now though, just\n # ignore them.\n #\n continue\n\n navPoint = etree.SubElement(navMap, \"navPoint\", id=\"chapter-%d\" % index, playOrder=\"%d\" % index)\n navLabel = etree.SubElement(navPoint, \"navLabel\")\n etree.SubElement(navLabel, \"text\").text = name\n etree.SubElement(navPoint, \"content\", src=\"content/%s.xhtml\" % name)\n index += 1\n\n if headings:\n document_headings = headings.get(name)\n if document_headings:\n for id, text in document_headings:\n subNavPoint = etree.SubElement(navPoint, \"navPoint\", id=id, playOrder=\"%d\" % index)\n subNavLabel = etree.SubElement(subNavPoint, \"navLabel\")\n etree.SubElement(subNavLabel, \"text\").text = text\n etree.SubElement(subNavPoint, \"content\", src=\"content/%s.xhtml#%s\" % (name, id))\n index += 1\n\n\n return xml","def ToXml(self):\n doc = xml.dom.getDOMImplementation().createDocument(None, 'story', None)\n story = doc.getElementsByTagName('story')[0]\n\n # Most fields are just simple strings or ints, so we treat them all in the\n # same way.\n for field_name in self.UPDATE_FIELDS:\n if field_name not in self.updated_fields:\n continue\n v = getattr(self, field_name)\n if v is not None:\n new_tag = doc.createElement(field_name)\n new_tag.appendChild(doc.createTextNode(str(v)))\n story.appendChild(new_tag)\n\n # Labels are represented internally as sets.\n if self.labels is not None:\n labels_tag = doc.createElement('labels')\n labels_tag.appendChild(doc.createTextNode(self.GetLabelsAsString()))\n story.appendChild(labels_tag)\n\n # Dates are special\n DATE_FORMAT = '%Y/%m/%d %H:%M:%S UTC'\n\n if self.deadline:\n formatted = time.strftime(DATE_FORMAT, time.gmtime(self.deadline))\n deadline_tag = doc.createElement('deadline')\n deadline_tag.setAttribute('type', 'datetime')\n deadline_tag.appendChild(doc.createTextNode(formatted))\n story.appendChild(deadline_tag)\n\n if self.created_at and \"created_at\" in self.updated_fields:\n formatted = time.strftime(DATE_FORMAT, time.gmtime(self.created_at))\n created_at_tag = doc.createElement('created_at')\n created_at_tag.setAttribute('type', 'datetime')\n created_at_tag.appendChild(doc.createTextNode(formatted))\n story.appendChild(created_at_tag)\n\n #don't update updated_at field as it will autoupdate\n return doc.toxml('utf-8')","def __init__(self, parent):\n if isinstance(parent, Node):\n self.parent = parent\n self.tree = parent.tree\n self.depth = parent.depth + 1\n else:\n self.parent = None\n self.tree = parent\n self.depth = 0\n self.children = []\n self.childrencreated = 0\n self.expanded = 0\n self.selected = 0\n \n self.text_id = 0\n self.image_id = 0\n self.minusplus_id = 0\n \n self.oldy = -1000\n self.changed = 0\n \n if not self.parent: self.tree._setnode(self) # Root Node must be passed to the tree.","def __init__(self, item):\n self._element = item\n self._leftchild = None\n self._rightchild = None\n self._parent = None","def from_xml_node(xml_node):\n id = int(xml_node.find(\"Id\").text)\n chest_region = int(xml_node.find(\"ChestRegion\").text)\n chest_type = int(xml_node.find(\"ChestType\").text)\n featureNode = xml_node.find(\"ImageFeature\")\n if featureNode is None:\n feature_type = 0\n else:\n feature_type = int(featureNode.text)\n\n # Description\n desc = xml_node.find(\"Description\")\n if desc is not None:\n desc = desc.text\n\n # Timestamp and user info\n timestamp = xml_node.find(\"Timestamp\")\n if timestamp is not None:\n timestamp = timestamp.text\n user_name = xml_node.find(\"UserName\")\n if user_name is not None:\n user_name = user_name.text\n machine_name = xml_node.find(\"MachineName\")\n if machine_name is not None:\n machine_name = machine_name.text\n\n structure = Structure(chest_region, chest_type, feature_type, description=desc, timestamp=timestamp,\n user_name=user_name, machine_name=machine_name)\n structure.__id__ = id\n return structure","def setUp(self):\n self.builder = NewsBuilder()\n self.project = FilePath(self.mktemp())\n self.project.createDirectory()\n self.existingText = 'Here is stuff which was present previously.\\n'\n self.createStructure(self.project, {\n 'NEWS': self.existingText,\n '5.feature': 'We now support the web.\\n',\n '12.feature': 'The widget is more robust.\\n',\n '15.feature': (\n 'A very long feature which takes many words to '\n 'describe with any accuracy was introduced so that '\n 'the line wrapping behavior of the news generating '\n 'code could be verified.\\n'),\n '16.feature': (\n 'A simpler feature\\ndescribed on multiple lines\\n'\n 'was added.\\n'),\n '23.bugfix': 'Broken stuff was fixed.\\n',\n '25.removal': 'Stupid stuff was deprecated.\\n',\n '30.misc': '',\n '35.misc': '',\n '40.doc': 'foo.bar.Baz.quux',\n '41.doc': 'writing Foo servers'})","def parse_journal_article_record(root) -> dict:\n\n # print(\"Root\", root)\n # pmid = root.find(\"PMID\").text\n # print(\"PMID\", pmid)\n # quit()\n\n doc = {\n \"abstract\": \"\",\n \"pmid\": \"\",\n \"title\": \"\",\n \"authors\": [],\n \"pub_date\": \"\",\n \"journal_iso_title\": \"\",\n \"journal_title\": \"\",\n \"doi\": \"\",\n \"compounds\": [],\n \"mesh\": [],\n }\n\n doc[\"pmid\"] = root.xpath(\".//PMID/text()\")[0]\n\n doc[\"title\"] = next(iter(root.xpath(\".//ArticleTitle/text()\")), \"\")\n\n # TODO https:.//stackoverflow.com/questions/4770191/lxml-etree-element-text-doesnt-return-the-entire-text-from-an-element\n atext = next(iter(root.xpath(\".//Abstract/AbstractText/text()\")), \"\")\n\n for abstracttext in root.xpath(\".//Abstract/AbstractText\"):\n abstext = node_text(abstracttext)\n\n label = abstracttext.get(\"Label\", None)\n if label:\n doc[\"abstract\"] += f\"{label}: {abstext}\\n\"\n else:\n doc[\"abstract\"] += f\"{abstext}\\n\"\n\n doc[\"abstract\"] = doc[\"abstract\"].rstrip()\n\n doc[\"authors\"] = []\n for author in root.xpath(\".//Author\"):\n last_name = next(iter(author.xpath(\"LastName/text()\")), \"\")\n first_name = next(iter(author.xpath(\"ForeName/text()\")), \"\")\n initials = next(iter(author.xpath(\"Initials/text()\")), \"\")\n if not first_name and initials:\n first_name = initials\n doc[\"authors\"].append(f\"{last_name}, {first_name}\")\n\n pub_year = next(iter(root.xpath(\".//Journal/JournalIssue/PubDate/Year/text()\")), None)\n pub_mon = next(iter(root.xpath(\".//Journal/JournalIssue/PubDate/Month/text()\")), \"Jan\")\n pub_day = next(iter(root.xpath(\".//Journal/JournalIssue/PubDate/Day/text()\")), \"01\")\n medline_date = next(\n iter(root.xpath(\".//Journal/JournalIssue/PubDate/MedlineDate/text()\")), None\n )\n\n pub_date = process_pub_date(doc[\"pmid\"], pub_year, pub_mon, pub_day, medline_date)\n\n doc[\"pub_date\"] = pub_date\n doc[\"journal_title\"] = next(iter(root.xpath(\".//Journal/Title/text()\")), \"\")\n doc[\"joural_iso_title\"] = next(iter(root.xpath(\".//Journal/ISOAbbreviation/text()\")), \"\")\n doc[\"doi\"] = next(iter(root.xpath('.//ArticleId[@IdType=\"doi\"]/text()')), None)\n\n doc[\"compounds\"] = []\n for chem in root.xpath(\".//ChemicalList/Chemical/NameOfSubstance\"):\n chem_id = chem.get(\"UI\")\n doc[\"compounds\"].append({\"id\": f\"MESH:{chem_id}\", \"name\": chem.text})\n\n compounds = [cmpd[\"id\"] for cmpd in doc[\"compounds\"]]\n doc[\"mesh\"] = []\n for mesh in root.xpath(\".//MeshHeading/DescriptorName\"):\n mesh_id = f\"MESH:{mesh.get('UI')}\"\n if mesh_id in compounds:\n continue\n doc[\"mesh\"].append({\"id\": mesh_id, \"name\": mesh.text})\n\n return doc","def FromXML(cls, doc, element):\n direction = None\n speed = None\n offset = None\n tags = set()\n appearance = None\n\n for subelem in list(element):\n tag = realtag(subelem)\n if tag == \"direction\":\n direction = Direction.FromXML(doc, subelem, \"aim\")\n elif tag == \"speed\":\n speed = Speed.FromXML(doc, subelem)\n elif tag == \"bullet\":\n bullet = BulletDef.FromXML(doc, subelem)\n elif tag == \"bulletRef\":\n bullet = BulletRef.FromXML(doc, subelem)\n elif tag == \"offset\":\n offset = Offset.FromXML(doc, subelem)\n elif tag == \"tag\":\n tags.add(subelem.text)\n elif tag == \"appearance\":\n appearance = subelem.text\n try:\n fire = cls(bullet, direction, speed, offset, tags, appearance)\n except UnboundLocalError as exc:\n raise ParseError(str(exc))\n else:\n doc._fires[element.get(\"label\")] = fire\n return fire","def startElement(self, name, attrs): # creating the node along the path being tracked\n name = clean_node_name(name)\n p_attrs = process_attrs(attrs)\n\n if name == \"\":\n raise ValueError, \"XML Node name cannot be empty\"\n\n elif name == \"requirement\":\n self.obj_depth.append(requirement_q2class(p_attrs))\n\n elif name == \"prompt\":\n self.obj_depth.append(prompt_q2class(p_attrs))\n\n elif name == \"house\":\n self.obj_depth.append(house_q2class(p_attrs))\n\n elif name == \"visible\":\n self.obj_depth.append(visible_q2class(p_attrs))\n\n elif name == \"computer\":\n self.obj_depth.append(computer_q2class(p_attrs))\n\n elif name == \"special\":\n self.obj_depth.append(special_q2class(p_attrs))\n\n elif name == \"title\":\n self.obj_depth.append(title_q2class(p_attrs))\n\n elif name == \"memories\":\n self.obj_depth.append(memories_q2class(p_attrs))\n\n elif name == \"tip\":\n self.obj_depth.append(tip_q2class(p_attrs))\n\n elif name == \"score\":\n self.obj_depth.append(score_q2class(p_attrs))\n\n elif name == \"exit\":\n self.obj_depth.append(exit_q2class(p_attrs))\n\n elif name == \"inventory\":\n self.obj_depth.append(inventory_q2class(p_attrs))\n\n elif name == \"memory\":\n self.obj_depth.append(memory_q2class(p_attrs))\n\n elif name == \"prereq\":\n self.obj_depth.append(prereq_q2class(p_attrs))\n\n elif name == \"desc\":\n self.obj_depth.append(desc_q2class(p_attrs))\n\n elif name == \"room\":\n self.obj_depth.append(room_q2class(p_attrs))\n\n elif name == \"player\":\n self.obj_depth.append(player_q2class(p_attrs))\n\n elif name == \"l\":\n self.obj_depth.append(l_q2class(p_attrs))\n\n elif name == \"o\":\n self.obj_depth.append(o_q2class(p_attrs))\n\n elif name == \"item\":\n self.obj_depth.append(item_q2class(p_attrs))\n\n elif name == \"intro\":\n self.obj_depth.append(intro_q2class(p_attrs))\n\n elif name == \"t\":\n self.obj_depth.append(t_q2class(p_attrs))\n\n self.char_buffer = []\n self.last_processed = \"start\"","def test_sections_json_spider_three_levels(self):\n\n title = (\"Taking Action for the Social and Emotional Health of \"\n\t \"Young Children: A Report to the Community from the Denver \"\n\t\t \"Early Childhood Council\")\n\tsummary = (\"Now, Denver has a plan of action to make it easier for \"\n\t \"families to access early childhood mental health \"\n\t\t \"information, intervention and services.\")\n\tbyline = \"Denver Early Childhood Council\"\n story = create_story(title=title, summary=summary, byline=byline)\n section1 = create_section(\"We're ready to take action. Are you?\",\n\t\t\t story=story, weight=7)\n\tsection2 = create_section(\"Ricardo's Story\",\n\t\t\t story=story, weight=2)\n\tsection3 = create_section(\"Meeting the need for better child mental health services\",\n\t\t\t story=story, root=True, weight=1)\n\tsection4 = create_section(\"Healthy Minds Support Strong Futures\",\n\t\t\t story=story, weight=5) \n\tsection5 = create_section(\"Community Voices\",\n\t\t\t story=story, weight=3)\n\tsection6 = create_section(\"Our Vision: That All Children in Denver are Valued, Healthy and Thriving\",\n\t\t\t story=story, weight=4)\n\tsection7 = create_section(\"Defining a \\\"Framework for Change\\\" with Actionable Goals and Strategies\",\n\t\t\t story=story, weight=5) \n section8 = create_section(\"How Can the Plan Make a Difference?\",\n\t\t\t story=story, weight=5)\n\tsection9 = create_section(\"Impact\", story=story, weight=6)\n SectionRelation.objects.create(parent=section6, child=section8,\n weight=0)\n SectionRelation.objects.create(parent=section7, child=section9,\n weight=0)\n SectionRelation.objects.create(parent=section6, child=section7,\n weight=0)\n SectionRelation.objects.create(parent=section3, child=section1,\n weight=0)\n SectionRelation.objects.create(parent=section3, child=section6,\n weight=0)\n SectionRelation.objects.create(parent=section3, child=section4,\n weight=0)\n SectionRelation.objects.create(parent=section3, child=section5,\n weight=0)\n SectionRelation.objects.create(parent=section3, child=section2,\n weight=0)\n\tjson_sections = simplejson.loads(story.structure.sections_json(\n\t\tinclude_summary=False, include_call_to_action=False))\n\tself.assertIn(\n\t section8.section_id,\n\t self._get_section(json_sections, section6.section_id)['children'])\n\tself.assertIn(\n\t section9.section_id,\n\t self._get_section(json_sections, section7.section_id)['children'])\n\tself.assertIn(\n\t section7.section_id,\n\t self._get_section(json_sections, section6.section_id)['children'])\n\tself.assertIn(\n\t section1.section_id,\n\t self._get_section(json_sections, section3.section_id)['children'])\n\tself.assertIn(\n\t section6.section_id,\n\t self._get_section(json_sections, section3.section_id)['children'])\n\tself.assertIn(\n\t section4.section_id,\n\t self._get_section(json_sections, section3.section_id)['children'])\n\tself.assertIn(\n\t section5.section_id,\n\t self._get_section(json_sections, section3.section_id)['children'])\n\tself.assertIn(\n\t section2.section_id,\n\t self._get_section(json_sections, section3.section_id)['children'])","def construct(self):\n self._content.sort(key=lambda x: (x.parent, x.index))\n i=0\n j=1\n while i<len(self._content):\n while j<len(self._content):\n if self._content[j].parent == self._content[i].index:\n self._content[i].children.append(self._content[j])\n j+=1\n else:\n break\n i+=1","def fromtree(self, xml):\r\n if hasattr(xml, 'getroot'):\r\n xml = xml.getroot()\r\n children = xml.getchildren()\r\n if xml.tag != 'plist' or len(children) != 1:\r\n raise Exception, \"Bad property list\"\r\n return self.__build(children[0])","def __init__ (self, element):\n\t\t\n\t\tcells = XmlUtils.getChildElements (element, \"TD\")\n\t\tself.level = len(cells) - 1;\n\t\tdataCell = cells[-1]\n\t\tcomponents = XmlUtils.getChildElements (dataCell, \"A\")\n\t\ticon = components[0]\n\t\timg = XmlUtils.getChild (\"IMG\", icon)\n\t\tfilename = os.path.split (img.getAttribute (\"SRC\"))[1]\n\t\tself.type = filename.split(\".\")[0]\n\t\tself.metadatapath = webcatUtils.webcatDomain + icon.getAttribute (\"HREF\")\n\t\t\n\t\tlinkElement = components[1]\n\t\tself.url = linkElement.getAttribute (\"HREF\")\n\t\tlabel = XmlUtils.getText (linkElement)\n\t\tself.link = webcatUtils.WebCatLink ((self.url, label))\n\t\tself.title = self.link.label\n\t\tself.parent = None\n\t\tself.children = None","def build(self):\n if not hasattr(self, 'subtitle'):\n self.subtitle = self.data_code['subtitle']\n #print('ntimes=%s nelements=%s ntotal=%s subtitle=%s' % (\n #self.ntimes, self.nelements, self.ntotal, self.subtitle))\n if self.is_built:\n return\n nnodes = 1\n\n #self.names = []\n #self.nelements //= nnodes\n self.nelements //= self.ntimes\n self.ntotal = self.nelements * nnodes * 2\n #self.ntotal\n self.itime = 0\n self.ielement = 0\n self.itotal = 0\n #print('ntotal=%s ntimes=%s nelements=%s' % (self.ntotal, self.ntimes, self.nelements))\n\n #print(\"ntimes=%s nelements=%s ntotal=%s\" % (self.ntimes, self.nelements, self.ntotal))\n self._times = np.zeros(self.ntimes, 'float32')\n #self.ntotal = self.nelements * nnodes\n\n self.element_node = np.zeros((self.ntotal, 2), 'int32')\n\n # the number is messed up because of the offset for the element's properties\n if not self.nelements * nnodes * 2 == self.ntotal:\n msg = 'ntimes=%s nelements=%s nnodes=%s ne*nn=%s ntotal=%s' % (\n self.ntimes, self.nelements, nnodes, self.nelements * nnodes,\n self.ntotal)\n raise RuntimeError(msg)\n\n # [angle, sc, sd, se, sf]\n self.data = np.zeros((self.ntimes, self.ntotal, 5), 'complex64')","def load_article_into_newsitem_class(info_about_news_item):\n article = info_about_news_item.signalmedia_json\n identifier = article['id']\n \n a_news_item = semeval_classes.NewsItem(\n identifier = identifier,\n collection = 'SignalMedia',\n dct = article['published'],\n publisher = article['source'])\n \n for provenance, naf in info_about_news_item.preprocessing:\n iden2wf_el = {int(wf_el.get('id')[1:]): wf_el\n for wf_el in naf.iterfind('text/wf')}\n\n tid2lemma = {int(term_el.get('id')[1:]): term_el.get('lemma')\n for term_el in naf.iterfind('terms/term')}\n basename = ''\n if provenance == 'newsreader':\n basename = naf.find('nafHeader/fileDesc').get('filename')\n\n # add entity mentions\n for entity_el in naf.iterfind('entities/entity'):\n entity_mention_obj = create_entity_mention_obj(entity_el, provenance,\n iden2wf_el,\n debug=False)\n a_news_item.entity_mentions.add(entity_mention_obj)\n\n # add event mentions\n for predicate_el in naf.iterfind('srl/predicate'):\n an_event_mention_obj = create_event_mention_obj(predicate_el,\n provenance,\n iden2wf_el,\n tid2lemma,\n basename,\n debug=False)\n a_news_item.event_mentions.add(an_event_mention_obj)\n\n # add domain labels\n xpath_query = 'topics/topic[@method=\"JEX\"]'\n jex_domain_labels = {topic_el.text\n for topic_el in naf.iterfind(xpath_query)}\n a_news_item.domain = jex_domain_labels\n\n return a_news_item","def __init__(self, puzzle=None, children=None, parent=None):\n self.puzzle, self.parent = puzzle, parent\n if children is None:\n self.children = []\n else:\n self.children = children[:]","def __init__(self, etree, etree_elt):\n self._etree = etree\n self._elt = etree_elt","def _compileArticle(self, fullPath, wiki):\n path = fullPath.replace(self.path, '')\n templateName = path.split('/')[1]\n articleName = path.split('/')[-2]\n url = self.path + path.replace('.txt', '.html').lower()\n article = ADict(dict(name=articleName, category=templateName, path=path, fullPath=fullPath,\n url=TX.name2UrlName(articleName)))\n text = []\n # Filter the field definitions\n wiki = wiki.replace('\\r', '\\n')\n for fieldName in self.FIELDNAMES:\n article[fieldName] = None\n for line in wiki.split('\\n'):\n if line.startswith('$'):\n fieldName, value = self._splitFieldValue(line)\n hook = 'setField_' + fieldName\n if not fieldName in self.FIELDNAMES:\n message = 'Illegal article parameter \"%s\" in article \"%s\".' % (fieldName, path)\n self.editArticle(path, message)\n elif hasattr(self, hook):\n getattr(self, hook)(value, article)\n else:\n article[fieldName] = value\n else:\n text.append(line) # Keep normal text lines.\n\n # Check is all required fields are filled. Otherwise open the article file in the editor.\n for requiredField in self.REQUIREDFIELDS:\n if article[requiredField] is None:\n message = 'Missing required parameter \"%s\" in article \"%s\".' % (requiredField, path)\n self.editArticle(article.path, message)\n\n # Split the chapters, in the text indicated by =C=\n article.chapters = []\n for chapter in ('\\n'.join(text)).split(self.CHAPTER_TAG):\n article.chapters.append(textile.textile(chapter))\n return article","def __init__(self, document_path):\n self.tree = etree.parse(document_path)\n self.doc_id = get_doc_id(self.tree)\n for element_type in ('nodes', 'edges', 'layers'):\n self._extract_elements(self.tree, element_type)","def test_sections_json_spider_three_levels_with_summary_and_call(self):\n title = (\"Taking Action for the Social and Emotional Health of \"\n\t \"Young Children: A Report to the Community from the Denver \"\n\t\t \"Early Childhood Council\")\n\tsummary = (\"Now, Denver has a plan of action to make it easier for \"\n\t \"families to access early childhood mental health \"\n\t\t \"information, intervention and services.\")\n\tcall_to_action = (\"Test call to action.\")\n\tbyline = \"Denver Early Childhood Council\"\n story = create_story(title=title, summary=summary, byline=byline,\n\t\t\t call_to_action=call_to_action)\n section1 = create_section(\"We're ready to take action. Are you?\",\n\t\t\t story=story, weight=7)\n\tsection2 = create_section(\"Ricardo's Story\",\n\t\t\t story=story, weight=2)\n\tsection3 = create_section(\"Meeting the need for better child mental health services\",\n\t\t\t story=story, root=True, weight=1)\n\tsection4 = create_section(\"Healthy Minds Support Strong Futures\",\n\t\t\t story=story, weight=5) \n\tsection5 = create_section(\"Community Voices\",\n\t\t\t story=story, weight=3)\n\tsection6 = create_section(\"Our Vision: That All Children in Denver are Valued, Healthy and Thriving\",\n\t\t\t story=story, weight=4)\n\tsection7 = create_section(\"Defining a \\\"Framework for Change\\\" with Actionable Goals and Strategies\",\n\t\t\t story=story, weight=5) \n section8 = create_section(\"How Can the Plan Make a Difference?\",\n\t\t\t story=story, weight=5)\n\tsection9 = create_section(\"Impact\", story=story, weight=6)\n SectionRelation.objects.create(parent=section6, child=section8,\n weight=0)\n SectionRelation.objects.create(parent=section7, child=section9,\n weight=0)\n SectionRelation.objects.create(parent=section6, child=section7,\n weight=0)\n SectionRelation.objects.create(parent=section3, child=section1,\n weight=0)\n SectionRelation.objects.create(parent=section3, child=section6,\n weight=0)\n SectionRelation.objects.create(parent=section3, child=section4,\n weight=0)\n SectionRelation.objects.create(parent=section3, child=section5,\n weight=0)\n SectionRelation.objects.create(parent=section3, child=section2,\n weight=0)\n\tjson_sections = simplejson.loads(story.structure.sections_json(\n\t\tinclude_summary=True, include_call_to_action=True))\n\tself.assertIn(\n\t section8.section_id,\n\t self._get_section(json_sections, section6.section_id)['children'])\n\tself.assertIn(\n\t section9.section_id,\n\t self._get_section(json_sections, section7.section_id)['children'])\n\tself.assertIn(\n\t section7.section_id,\n\t self._get_section(json_sections, section6.section_id)['children'])\n\tself.assertIn(\n\t section1.section_id,\n\t self._get_section(json_sections, section3.section_id)['children'])\n\tself.assertIn(\n\t section6.section_id,\n\t self._get_section(json_sections, section3.section_id)['children'])\n\tself.assertIn(\n\t section4.section_id,\n\t self._get_section(json_sections, section3.section_id)['children'])\n\tself.assertIn(\n\t section5.section_id,\n\t self._get_section(json_sections, section3.section_id)['children'])\n\tself.assertIn(\n\t section2.section_id,\n\t self._get_section(json_sections, section3.section_id)['children'])\n\tself.assertEqual(json_sections[0]['section_id'], 'summary')\n\tself.assertEqual(json_sections[0]['next_section_id'], \n\t\t\t json_sections[1]['section_id'])\n\tself.assertEqual(json_sections[1]['previous_section_id'], 'summary')\n\tself.assertEqual(json_sections[-1]['section_id'], 'call-to-action')\n\tself.assertEqual(json_sections[-1]['previous_section_id'], \n\t\t\t json_sections[-2]['section_id'])\n\tself.assertEqual(json_sections[-2]['next_section_id'], 'call-to-action')","def _addEntity(self, pid, chunks):\n parent = chunks[pid]\n sub = None\n # Find subject\n for i in range(len(parent.children)):\n child = chunks[parent.children[i]]\n if child.func in SubDict:\n sub = child\n if child.func == \"では\":\n if child.negative != 0 or any([val.negative != 0 for key, val in self.G.successors(child.main)]):\n pass\n else:\n sub = None\n if sub:\n self._addNode(parent, sub=sub.main)\n self._addEdge(sub.main, parent.main, label=\"陳述\", etype=\"stat\")\n else:\n self._addNode(parent)\n \n # Lopp through all children\n for i in range(len(parent.children)):\n child = chunks[parent.children[i]]\n # If child is noun\n if child.func in SubDict:\n if child.func == \"では\":\n if child.negative != 0 or any([val.negative != 0 for key, val in self.G.successors(child.main)]):\n pass\n else:\n self._addNode(child)\n self._addEdge(child.main, parent.main, label=child.func, etype=\"attr\")\n elif child.type == 0 and child.func in [\"と\", \"などと\"] and child.id + 1 == parent.id and preprocessText(chunks[parent.parent].main) not in [\"交代\", \"交換\"]:\n self._addNode(child)\n self._addEdge(child.main, parent.main, label=\"並列\", etype=\"para\")\n self._addEdge(parent.main, child.main, label=\"並列\", etype=\"para\")\n self.para.append([child.main, parent.main])\n elif child.type == 0 and child.func in ParallelDict and child.id + 1 == parent.id:\n self._addNode(child)\n self._addEdge(child.main, parent.main, label=\"並列\", etype=\"para\")\n self._addEdge(parent.main, child.main, label=\"並列\", etype=\"para\")\n self.para.append([child.main, parent.main])\n else:\n self._addNode(child)\n self._addEdge(child.main, parent.main, label=child.func, etype=\"attr\")","def __init__(self, document_path):\n super(SaltXMIGraph, self).__init__()\n self.tree = etree.parse(document_path)\n self.doc_id = get_doc_id(self.tree)\n for i, node_element in enumerate(get_elements(self.tree, 'nodes')):\n node = create_class_instance(node_element, i, self.doc_id)\n self.add_node(i, node.__dict__)\n for i, edge_element in enumerate(get_elements(self.tree, 'edges')):\n edge = create_class_instance(edge_element, i, self.doc_id)\n self.add_edge(edge.source, edge.target, edge.__dict__)","def __init__(self):\n self.dtrs = []\n self.chunkIndex = 0\n self.eventList = [] \n self.position = None\n self.positionCount = 0\n self.parent = None\n self.embeddedTags = []","def __init__(self, title, parent=None, level=1, proc='P0'):\n # A section can have subsections this relation is represented by the\n # reference to the link\n self.parent = parent\n # how deepness of the section\n self.level = level\n self.title = title\n self.content = [] # No subsections in here\n self.subsections = []\n self.proc = proc","def _get_story(self, article):\n # Get similar Articles by tag, sorted by most similar descending.\n similar = article.tags.similar_objects()\n similar = list(filter(\n lambda item: self._filter_similar_articles(\n article=item, compare=article\n ),\n similar\n ))\n if similar:\n return similar[0].story\n\n # If no similar articles were found, create a new story.\n return Story.objects.create()","def rebuild (self, event = None, displayAfter = False): \r\n try:\r\n # Remember current working dir and set to savefile's dir. InterTwine StoryIncludes are relative to the Twine file.\r\n cwd = os.getcwd()\r\n if self.saveDestination == '':\r\n twinedocdir = cwd\r\n else:\r\n twinedocdir = os.path.dirname(self.saveDestination)\r\n os.chdir(twinedocdir)\r\n \r\n # assemble our tiddlywiki and write it out\r\n hasstartpassage = False\r\n tw = TiddlyWiki()\r\n for widget in self.storyPanel.widgets:\r\n # if widget.passage.title != 'StoryIncludes' and \\\r\n # not any('Twine.private' in t for t in widget.passage.tags) and \\\r\n # not any('Twine.system' in t for t in widget.passage.tags):\r\n if widget.passage.title != 'StoryIncludes' and \\\r\n not any(t.startswith('Twine.') for t in widget.passage.tags):\r\n tw.addTiddler(widget.passage)\r\n if widget.passage.title == \"Start\":\r\n hasstartpassage = True\r\n\r\n # is there a Start passage?\r\n if hasstartpassage == False:\r\n self.app.displayError('building your story because there is no \"Start\" passage. ' + \"\\n\" \r\n + 'Your story will build but the web-browser will not be able to run the story. ' + \"\\n\"\r\n + 'Please add a passage with the title \"Start\"')\r\n\r\n for widget in self.storyPanel.widgets:\r\n if widget.passage.title == 'StoryIncludes':\r\n lines = widget.passage.text.splitlines()\r\n lines.append('');\r\n # State 0: Look for a filename\r\n ## State 1: have filename, look for filename, EXCEPT, INCLUDE, ALIAS\r\n ## State 2: EXCEPT mode, look for INCLUDE 3, ALIAS 4 or blank line 0\r\n ## State 3: INCLUDE mode, look for EXCEPT 2, ALIAS 4 or blank line 0\r\n ## State 4: ALIAS mode, look for EXCEPT 2, INCLUDE 2 or blank line 0\r\n state = 0;\r\n state_filename = '';\r\n excludepassages = [ 'Start', 'StoryMenu', 'StoryTitle', 'StoryAuthor', 'StorySubtitle', 'StoryIncludes', 'StorySettings' ]\r\n for line in lines:\r\n if state == 0:\r\n state_filename = line\r\n state = 1\r\n continue\r\n elif state == 1:\r\n try:\r\n if state_filename.strip() != '':\r\n extension = os.path.splitext(state_filename)[1] \r\n if extension == '.tws':\r\n if any(state_filename.startswith(t) for t in ['http://', 'https://', 'ftp://']):\r\n openedFile = urllib.urlopen(state_filename)\r\n else:\r\n openedFile = open(state_filename, 'r')\r\n s = StoryFrame(None, app = self.app, state = pickle.load(openedFile))\r\n openedFile.close()\r\n for widget in s.storyPanel.widgets:\r\n if not any(widget.passage.title in t for t in excludepassages) and \\\r\n not any('Twine.private' in t for t in widget.passage.tags) and \\\r\n not any('Twine.system' in t for t in widget.passage.tags):\r\n tw.addTiddler(widget.passage)\r\n s.Destroy()\r\n elif extension == '.tw' or extension == '.txt' or extension == '.twee':\r\n if any(state_filename.startswith(t) for t in ['http://', 'https://', 'ftp://']):\r\n openedFile = urllib.urlopen(state_filename)\r\n s = openedFile.read()\r\n openedFile.close()\r\n t = tempfile.NamedTemporaryFile(delete=False)\r\n cleanuptempfile = True\r\n t.write(s)\r\n t.close()\r\n filename = t.name\r\n else:\r\n filename = state_filename\r\n cleanuptempfile = False\r\n \r\n tw1 = TiddlyWiki()\r\n tw1.addTweeFromFilename(filename)\r\n if cleanuptempfile: os.remove(filename)\r\n tiddlerkeys = tw1.tiddlers.keys()\r\n for tiddlerkey in tiddlerkeys:\r\n passage = tw1.tiddlers[tiddlerkey]\r\n if not any(passage.title == t for t in excludepassages) and \\\r\n not any('Twine.private' in t for t in passage.tags) and \\\r\n not any('Twine.system' in t for t in passage.tags):\r\n tw.addTiddler(passage)\r\n else:\r\n raise 'File format not recognized'\r\n except:\r\n self.app.displayError('opening the Twine file named ' + state_filename + ' which is referred to by the passage StoryIncludes')\r\n state_filename = line\r\n state = 1\r\n continue\r\n break\r\n \r\n # Decode story settings\r\n for widget in self.storyPanel.widgets:\r\n if widget.passage.title == 'StorySettings':\r\n lines = widget.passage.text.splitlines()\r\n for line in lines:\r\n (skey,svalue) = line.split(':')\r\n tw.storysettings[skey.strip()] = svalue.strip()\r\n break\r\n \r\n # Write the output file\r\n os.chdir(os.path.dirname(self.buildDestination))\r\n dest = open(self.buildDestination, 'w')\r\n dest.write(tw.toHtml(self.app, self.target).encode('utf-8'))\r\n dest.close()\r\n os.chdir(cwd)\r\n if displayAfter: self.viewBuild()\r\n except:\r\n self.app.displayError('building your story')","def __init__(self, reference, title, depth = 0, parent = None):\n\n SitemapTreeElement.__init__(self, depth, parent)\n\n # Check a type of 'reference' parametr\n if not isinstance(reference, basestring):\n raise TypeError('string type expected')\n self._reference = reference\n\n # Check a type of 'title' parametr\n if not isinstance(title, basestring):\n raise TypeError('string type expected')\n self._title = title","def __init__(self, template_content, section_type):\n self.helpers = Documentation()\n self.template_content = template_content\n self.section_type = section_type\n self.stype = self.section_type\n self.children = []","def test_from_xml_method_is_working_properly(self):\n from xml.etree import ElementTree\n video_node = ElementTree.Element('video')\n format_node = ElementTree.SubElement(video_node, 'format')\n sc_node = ElementTree.SubElement(format_node, 'samplecharacteristics')\n width_node = ElementTree.SubElement(sc_node, 'width')\n width_node.text = 1024\n height_node = ElementTree.SubElement(sc_node, 'height')\n height_node.text = 778\n\n track_node = ElementTree.SubElement(video_node, 'track')\n locked_node = ElementTree.SubElement(track_node, 'locked')\n locked_node.text = 'FALSE'\n enabled_node = ElementTree.SubElement(track_node, 'enabled')\n enabled_node.text = 'TRUE'\n\n # clip1\n clip_node = ElementTree.SubElement(track_node, 'clipitem',\n attrib={'id': 'shot2'})\n end_node = ElementTree.SubElement(clip_node, 'end')\n end_node.text = '35'\n name_node = ElementTree.SubElement(clip_node, 'name')\n name_node.text = 'shot2'\n enabled_node = ElementTree.SubElement(clip_node, 'enabled')\n enabled_node.text = 'True'\n start_node = ElementTree.SubElement(clip_node, 'start')\n start_node.text = '1'\n in_node = ElementTree.SubElement(clip_node, 'in')\n in_node.text = '0'\n duration_node = ElementTree.SubElement(clip_node, 'duration')\n duration_node.text = '34'\n out_node = ElementTree.SubElement(clip_node, 'out')\n out_node.text = '34'\n\n file_node = ElementTree.SubElement(clip_node, 'file')\n duration_node = ElementTree.SubElement(file_node, 'duration')\n duration_node.text = '34'\n name_node = ElementTree.SubElement(file_node, 'name')\n name_node.text = 'shot2'\n pathurl_node = ElementTree.SubElement(file_node, 'pathurl')\n\n pathurl = 'file://localhost/home/eoyilmaz/maya/projects/default/data/shot2.mov'\n pathurl_node.text = pathurl\n\n # clip2\n clip_node = ElementTree.SubElement(track_node, 'clipitem',\n attrib={'id': 'shot'})\n end_node = ElementTree.SubElement(clip_node, 'end')\n end_node.text = '65'\n name_node = ElementTree.SubElement(clip_node, 'name')\n name_node.text = 'shot'\n enabled_node = ElementTree.SubElement(clip_node, 'enabled')\n enabled_node.text = 'True'\n start_node = ElementTree.SubElement(clip_node, 'start')\n start_node.text = '35'\n in_node = ElementTree.SubElement(clip_node, 'in')\n in_node.text = '0'\n duration_node = ElementTree.SubElement(clip_node, 'duration')\n duration_node.text = '30'\n out_node = ElementTree.SubElement(clip_node, 'out')\n out_node.text = '30'\n\n file_node = ElementTree.SubElement(clip_node, 'file')\n duration_node = ElementTree.SubElement(file_node, 'duration')\n duration_node.text = '30'\n name_node = ElementTree.SubElement(file_node, 'name')\n name_node.text = 'shot'\n pathurl_node = ElementTree.SubElement(file_node, 'pathurl')\n\n pathurl = 'file://localhost/home/eoyilmaz/maya/projects/default/data/shot.mov'\n pathurl_node.text = pathurl\n\n # clip3\n clip_node = ElementTree.SubElement(track_node, 'clipitem',\n attrib={'id': 'shot1'})\n end_node = ElementTree.SubElement(clip_node, 'end')\n end_node.text = '110'\n name_node = ElementTree.SubElement(clip_node, 'name')\n name_node.text = 'shot1'\n enabled_node = ElementTree.SubElement(clip_node, 'enabled')\n enabled_node.text = 'True'\n start_node = ElementTree.SubElement(clip_node, 'start')\n start_node.text = '65'\n in_node = ElementTree.SubElement(clip_node, 'in')\n in_node.text = '0'\n duration_node = ElementTree.SubElement(clip_node, 'duration')\n duration_node.text = '45'\n out_node = ElementTree.SubElement(clip_node, 'out')\n out_node.text = '45'\n\n file_node = ElementTree.SubElement(clip_node, 'file')\n duration_node = ElementTree.SubElement(file_node, 'duration')\n duration_node.text = '45'\n name_node = ElementTree.SubElement(file_node, 'name')\n name_node.text = 'shot1'\n pathurl_node = ElementTree.SubElement(file_node, 'pathurl')\n\n pathurl = 'file://localhost/home/eoyilmaz/maya/projects/default/data/shot1.mov'\n pathurl_node.text = pathurl\n\n v = Video()\n v.from_xml(video_node)\n self.assertEqual(1024, v.width)\n self.assertEqual(778, v.height)\n\n t = v.tracks[0]\n self.assertEqual(False, t.locked)\n self.assertEqual(True, t.enabled)\n\n # clip1\n c = t.clips[0]\n self.assertEqual(35, c.end)\n self.assertEqual('shot2', c.name)\n self.assertEqual(True, c.enabled)\n self.assertEqual(1, c.start)\n self.assertEqual(0, c.in_)\n self.assertEqual(34, c.duration)\n self.assertEqual(34, c.out)\n\n f = c.file\n self.assertEqual(34, f.duration)\n self.assertEqual('shot2', f.name)\n self.assertEqual(\n 'file://localhost/home/eoyilmaz/maya/projects/default/data/shot2.mov',\n f.pathurl\n )\n\n # clip2\n c = t.clips[1]\n self.assertEqual(65, c.end)\n self.assertEqual('shot', c.name)\n self.assertEqual(True, c.enabled)\n self.assertEqual(35, c.start)\n self.assertEqual(0, c.in_)\n self.assertEqual(30, c.duration)\n self.assertEqual(30, c.out)\n\n f = c.file\n self.assertEqual(30, f.duration)\n self.assertEqual('shot', f.name)\n self.assertEqual(\n 'file://localhost/home/eoyilmaz/maya/projects/default/data/shot.mov',\n f.pathurl\n )\n\n # clip3\n c = t.clips[2]\n self.assertEqual(110, c.end)\n self.assertEqual('shot1', c.name)\n self.assertEqual(True, c.enabled)\n self.assertEqual(65, c.start)\n self.assertEqual(0, c.in_)\n self.assertEqual(45, c.duration)\n self.assertEqual(45, c.out)\n\n f = c.file\n self.assertEqual(45, f.duration)\n self.assertEqual('shot1', f.name)\n self.assertEqual(\n 'file://localhost/home/eoyilmaz/maya/projects/default/data/shot1.mov',\n f.pathurl\n )","def __init__(self, item):\n self._element = item\n self._leftchild = None\n self._rightchild = None\n self._parent = None\n self._height = 0","def AddNewStory(self, story):\n story_xml = story.ToXml()\n res = self._Api('stories', 'POST', story_xml)\n toAddStory = story\n story = Story.FromXml(res)\n\n if len(toAddStory.GetTasks()) < 1:\n return story\n\n for task in toAddStory.GetTasks():\n path = 'stories/%d' % story.GetStoryId()\n path += task.GetSubPath()\n res = self._Api(path, task.GetMethod(), task.ToXml())\n\n return self.GetStory(story.GetStoryId())","def setNode(self,node):\n Sentence.__init__(self,**node.attrib)\n\n tmpSts = node.find(\"subtokens\")\n tmpDep = node.find(\"depannotation\")\n tmpRel = node.find(\"relannotation\")\n \n # generate subtokens\n for a in tmpSts.findall(\"subtoken\"):\n n = Subtoken(**a.attrib)\n self.subtokens[n.id] = n\n \n # generate depTokens\n for a in tmpDep.findall(\"deptoken\"):\n n = DepToken(**a.attrib)\n for b in a.findall(\"nestedsubtoken\"):\n special = (b.attrib['special'] == 'True')\n n.addSubtoken( self.subtokens[b.attrib['subtoken']],special )\n self.deptokens[n.id] = n\n\n # generate relTokens\n for a in tmpRel.findall(\"reltoken\"):\n n = RelToken(**a.attrib)\n for b in a.findall(\"nestedsubtoken\"):\n special = (b.attrib['special'] == 'True')\n n.addSubtoken( self.subtokens[b.attrib['subtoken']],special )\n self.reltokens[n.id] = n\n \n # generate depEntities\n for a in tmpDep.findall(\"depentity\"):\n n = DepEntity(**a.attrib)\n n.token = self.deptokens[n.token]\n self.depentities[n.id] = n\n\n # generate relEntities\n for a in tmpRel.findall(\"relentity\"):\n n = RelEntity(**a.attrib)\n n.token = self.reltokens[n.token]\n self.relentities[n.id] = n\n \n # generate depNodes into graph\n depNodes = {}\n for a in tmpDep.findall(\"depnode\"):\n n = DepNode(**a.attrib)\n n.entity = self.depentities[n.entity]\n self.dependencies.add_node(n)\n depNodes[n.id] = n\n # generate depEdges into graph\n for a in tmpDep.findall(\"depedge\"):\n n = DepEdge(**a.attrib)\n n.bgn = depNodes[n.bgn]\n n.end = depNodes[n.end]\n self.dependencies.add_edge(depNodes[a.attrib['bgn']],\n depNodes[a.attrib['end']],\n n)\n\n # generate relNodes into graph\n relNodes = {}\n for a in tmpRel.findall(\"relnode\"):\n n = RelNode(**a.attrib)\n n.entity = self.relentities[n.entity]\n self.interactions.add_node(n)\n relNodes[n.id] = n\n # generate relEdges into graph\n for a in tmpRel.findall(\"reledge\"):\n n = RelEdge(**a.attrib)\n n.bgn = relNodes[n.bgn]\n n.end = relNodes[n.end]\n self.interactions.add_edge(relNodes[a.attrib['bgn']],\n relNodes[a.attrib['end']],\n n)","def parse_pubmed_web_tree(tree):\r\n\r\n if tree.xpath('//articletitle') is not None:\r\n title = ' '.join([title.text for title in tree.xpath('//articletitle')])\r\n else:\r\n title = ''\r\n\r\n abstract_tree = tree.xpath('//abstract/abstracttext')\r\n abstract = ' '.join([stringify_children(a).strip() for a in abstract_tree])\r\n\r\n\r\n con=tokenize.sent_tokenize(abstract)\r\n conclusion =''.join(con[len(con)-1])\r\n\r\n if tree.xpath('//article//title') is not None:\r\n journal = ';'.join([t.text.strip() for t in tree.xpath('//article//title')])\r\n else:\r\n journal = ''\r\n\r\n pubdate = tree.xpath('//pubmeddata//history//pubmedpubdate[@pubstatus=\"medline\"]')\r\n if len(pubdate) >= 1 and pubdate[0].find('year') is not None:\r\n year = pubdate[0].find('year').text\r\n else:\r\n year = ''\r\n\r\n affiliations = list()\r\n if tree.xpath('//affiliationinfo/affiliation') is not None:\r\n for affil in tree.xpath('//affiliationinfo/affiliation'):\r\n affiliations.append(affil.text)\r\n affiliations_text = '; '.join(affiliations)\r\n else:\r\n affiliations_text= '' \r\n\r\n keywords = list()\r\n if tree.xpath('//keywordlist/keyword')is not None:\r\n for keyword in tree.xpath('//keywordlist/keyword'):\r\n keywords.append(keyword.text)\r\n keywords_text = '; '.join(keywords)\r\n else:\r\n keywords_text= '' \r\n \r\n \r\n authors_tree = tree.xpath('//authorlist/author')\r\n authors = list()\r\n if authors_tree is not None:\r\n for a in authors_tree:\r\n firstname = a.find('forename').text if a.find('forename') is not None else ''\r\n lastname = a.find('lastname').text if a.find('forename') is not None else ''\r\n fullname = (firstname + ' ' + lastname).strip()\r\n if fullname == '':\r\n fullname = a.find('collectivename').text if a.find('collectivename') is not None else ''\r\n authors.append(fullname)\r\n authors_text = '; '.join(authors)\r\n else:\r\n authors_text = ''\r\n \r\n if tree.xpath('//abstract/copyrightinformation') is not None:\r\n copyright_text = ';'.join([c.text.strip() for c in tree.xpath('//abstract/copyrightinformation')])\r\n else:\r\n copyright_text = '' \r\n \r\n if tree.xpath('//articleidlist/articleid[@idtype=\"pubmed\"]') is not None:\r\n pmid = ';'.join([p.text.strip() for p in tree.xpath('//articleidlist/articleid[@idtype=\"pubmed\"]')])\r\n else:\r\n pmid = ''\r\n\r\n if tree.xpath('//articleidlist/articleid[@idtype=\"doi\"]') is not None:\r\n doi = ';'.join([p.text.strip() for p in tree.xpath('//articleidlist/articleid[@idtype=\"doi\"]')])\r\n else:\r\n doi = ''\r\n \r\n n_citations=get_links_id(pmid)\r\n\r\n# title,abstract,journal,affiliation,authors,year,keywords,conclusion,copyright,pmid,doi,citationindex\r\n dict_out = {'title': title,\r\n 'abstract': abstract,\r\n 'journal': journal,\r\n 'affiliation': affiliations_text,\r\n 'authors': authors_text,\r\n 'year': year,\r\n 'keywords': keywords_text,\r\n 'conclusion':conclusion,\r\n 'copyright':copyright_text,\r\n 'pmid':pmid,\r\n 'doi':doi,\r\n 'citation_index':n_citations}\r\n return dict_out","def prepare_content_tree(self):\n for node_id in self.child_nodes:\n node = in_scope(node_id)\n\n if isinstance(node, CaptionNode):\n self.caption = node.argument\n\n if isinstance(node, LabelNode):\n self.setup_label(node)\n\n # node.prepare_content_tree()\n\n out_scope(node)","def __init__(self, depth = 0, parent = None):\n \n # Check a type of 'depth' parametr\n if not isinstance(depth, (int, long)):\n raise TypeError('int or long type expected')\n self._depth = depth\n\n # Check a type of 'parent' parametr\n if parent and not isinstance(parent, SitemapTreeElement):\n raise TypeError('SitemapTreeElement type expected')\n self._parent = parent\n\n # self._children contains a list of sitemap element children.\n # Initialize it with an empty list.\n self._children = []","def build(self, text):\n self._xml4nlp = Element('xml4nlp')\n self._note = SubElement(self._xml4nlp, 'note')\n self._doc = SubElement(self._xml4nlp, 'doc')\n\n para = SubElement(self._doc, 'para')\n para.set(\"id\", \"0\")\n para.text = text\n\n self._clean_note()\n self.dom = self._xml4nlp","def _parse(self):\n tree = etree.parse(self.filename)\n root_node = tree.getroot()\n\n text_node = root_node.find(\"TEXT\")\n\n # Get text\n self.text = self._extract_text(text_node)\n\n # Get and create Event objects\n self.events = self._get_and_create_event_objects(text_node, root_node)\n\n # Get and create Timex objects\n self.timex = self._get_and_create_timex_objects(text_node, root_node)\n\n # Create Relation objects and link them\n self.relations = self._get_and_create_relation_objects(root_node)\n\n # Build text structure. Must be called last.\n self.text_structure = self._get_and_build_text_structure()","def get_init(self, storyboard):\n init = etree.SubElement(storyboard, \"Init\")\n init_act = etree.SubElement(init, \"Actions\")\n self.get_environment_actions(init_act)\n\n # Ego Vehicle\n if QgsProject.instance().mapLayersByName(\"Vehicles - Ego\"):\n vehicle_ego_layer = QgsProject.instance().mapLayersByName(\"Vehicles - Ego\")[0]\n for feature in vehicle_ego_layer.getFeatures():\n veh_id = \"Ego_\" + str(feature[\"id\"])\n orientation = feature[\"Orientation\"]\n pos_x = feature[\"Pos X\"]\n pos_y = feature[\"Pos Y\"]\n pos_z = feature[\"Pos Z\"]\n init_speed = feature[\"Init Speed\"]\n agent = feature[\"Agent\"]\n agent_camera = str(feature[\"Agent Camera\"]).lower()\n\n if agent == \"User Defined\":\n agent = feature[\"Agent User Defined\"]\n\n entity = etree.SubElement(init_act, \"Private\")\n entity.set(\"entityRef\", str(veh_id))\n self.entity_teleport_action(entity, orientation, pos_x, pos_y, pos_z)\n self.vehicle_controller(entity, str(feature[\"id\"]), agent, agent_camera, is_ego=True)\n if init_speed != 0:\n self.set_init_speed(entity, init_speed)\n\n # Vehicle\n if QgsProject.instance().mapLayersByName(\"Vehicles\"):\n vehicle_layer = QgsProject.instance().mapLayersByName(\"Vehicles\")[0]\n for feature in vehicle_layer.getFeatures():\n veh_id = \"Vehicle_\" + str(feature[\"id\"])\n orientation = feature[\"Orientation\"]\n pos_x = feature[\"Pos X\"]\n pos_y = feature[\"Pos Y\"]\n pos_z = feature[\"Pos Z\"]\n init_speed = feature[\"Init Speed\"]\n agent = feature[\"Agent\"]\n agent_camera = str(feature[\"Agent Camera\"]).lower()\n\n if agent == \"User Defined\":\n agent = feature[\"Agent User Defined\"]\n\n entity = etree.SubElement(init_act, \"Private\")\n entity.set(\"entityRef\", str(veh_id))\n self.entity_teleport_action(entity, orientation, pos_x, pos_y, pos_z)\n self.vehicle_controller(entity, str(feature[\"id\"]), agent, agent_camera, is_ego=False)\n if init_speed != 0:\n self.set_init_speed(entity, init_speed)\n\n # Pedestrian\n if QgsProject.instance().mapLayersByName(\"Pedestrians\"):\n walker_layer = QgsProject.instance().mapLayersByName(\"Pedestrians\")[0]\n for feature in walker_layer.getFeatures():\n ped_id = \"Pedestrian_\" + str(feature[\"id\"])\n orientation = feature[\"Orientation\"]\n pos_x = feature[\"Pos X\"]\n pos_y = feature[\"Pos Y\"]\n pos_z = feature[\"Pos Z\"]\n init_speed = feature[\"Init Speed\"]\n\n entity = etree.SubElement(init_act, \"Private\")\n entity.set(\"entityRef\", ped_id)\n self.entity_teleport_action(entity, orientation, pos_x, pos_y, pos_z)\n if init_speed != 0:\n self.set_init_speed(entity, init_speed)\n\n # Static Objects\n if QgsProject.instance().mapLayersByName(\"Static Objects\"):\n props_layer = QgsProject.instance().mapLayersByName(\"Static Objects\")[0]\n for feature in props_layer.getFeatures():\n prop_id = \"Prop_\" + str(feature[\"id\"])\n orientation = feature[\"Orientation\"]\n pos_x = feature[\"Pos X\"]\n pos_y = feature[\"Pos Y\"]\n pos_z = feature[\"Pos Z\"]\n\n entity = etree.SubElement(init_act, \"Private\")\n entity.set(\"entityRef\", prop_id)\n self.entity_teleport_action(entity, orientation, pos_x, pos_y, pos_z)","def __init__(self, *args):\n this = _libsbml.new_XMLNode(*args)\n try: self.this.append(this)\n except: self.this = this","def load_story(self, story_id):\r\n story_url = \"https://www.pivotaltracker.com/services/v3/projects/{}/stories/{}\".format(self.project_id, story_id)\r\n\r\n resposne = _perform_pivotal_get(story_url)\r\n # print resposne.text\r\n if resposne.status_code == 404:\r\n # Not Found\r\n return None\r\n else:\r\n #Found, parsing story\r\n root = ET.fromstring(resposne.text)\r\n return Story.from_node(root)","def make_nodes(pyassimp_node):\n trs_keyframes = transform_keyframes.get(pyassimp_node.name, (None,))\n\n node = SkinningControlNode(*trs_keyframes, name=pyassimp_node.name,\n transform=pyassimp_node.transformation)\n nodes[pyassimp_node.name] = node, pyassimp_node\n node.add(*(make_nodes(child) for child in pyassimp_node.children))\n return node","def __init__(self, dict):\n self.name = dict[0]\n self.bracket = dict[1]\n self.children = []\n self.text = ''","def getStories(self, source):\n self.numberOfStoriesOnFrontPage = source.count(\"span id=score\")\n # Create the empty stories.\n newsStories = []\n for i in range(0, self.numberOfStoriesOnFrontPage):\n story = HackerNewsStory()\n newsStories.append(story)\n \n soup = BeautifulSoup(source)\n # Gives URLs, Domains and titles.\n story_details = soup.findAll(\"td\", {\"class\" : \"title\"}) \n # Gives score, submitter, comment count and comment URL.\n story_other_details = soup.findAll(\"td\", {\"class\" : \"subtext\"})\n\n # Get story numbers.\n storyNumbers = []\n for i in range(0,len(story_details) - 1, 2):\n story = str(story_details[i]) # otherwise, story_details[i] is a BeautifulSoup-defined object.\n storyNumber = self.getStoryNumber(story)\n storyNumbers.append(storyNumber)\n \n storyURLs = []\n storyDomains = []\n storyTitles = []\n storyScores = []\n storySubmitters = []\n storyCommentCounts = []\n storyCommentURLs = []\n storyIDs = []\n\n for i in range(1, len(story_details), 2): # Every second cell contains a story.\n story = str(story_details[i])\n storyURLs.append(self.getStoryURL(story))\n storyDomains.append(self.getStoryDomain(story))\n storyTitles.append(self.getStoryTitle(story))\n \n for s in story_other_details:\n story = str(s)\n storyScores.append(self.getStoryScore(story))\n storySubmitters.append(self.getSubmitter(story))\n storyCommentCounts.append(self.getCommentCount(story))\n storyCommentURLs.append(self.getCommentsURL(story))\n storyIDs.append(self.getHNID(story))\n \n \n # Associate the values with our newsStories. \n for i in range(0, self.numberOfStoriesOnFrontPage):\n newsStories[i].number = storyNumbers[i]\n newsStories[i].URL = storyURLs[i]\n newsStories[i].domain = storyDomains[i]\n newsStories[i].title = storyTitles[i]\n newsStories[i].score = storyScores[i]\n newsStories[i].submitter = storySubmitters[i]\n newsStories[i].commentCount = storyCommentCounts[i]\n newsStories[i].commentsURL = storyCommentURLs[i]\n newsStories[i].id = storyIDs[i]\n \n return newsStories","def from_xml_node(cls, xml_node):\n ticket_id = get_xml_int_value(xml_node, Elements.TICKET_ID)\n history_activities = []\n for history_activity_node in xml_node.iter(tag=Elements.TICKET_HISTORY_ACTIVITY):\n history_activities.append(Ticket_History_Activity.from_xml_node(history_activity_node))\n return cls(ticket_id, history_activities)","def FromXML(cls, source):\n if not hasattr(source, 'read'):\n source = StringIO(source)\n\n tree = ElementTree()\n root = tree.parse(source)\n\n doc = cls(type=root.get(\"type\", \"none\"))\n\n doc._bullets = {}\n doc._actions = {}\n doc._fires = {}\n doc._bullet_refs = []\n doc._action_refs = []\n doc._fire_refs = []\n\n for element in list(root):\n tag = realtag(element)\n if tag in doc.CONSTRUCTORS:\n doc.CONSTRUCTORS[tag].FromXML(doc, element)\n\n try:\n for ref in doc._bullet_refs:\n ref.bullet = doc._bullets[ref.bullet]\n for ref in doc._fire_refs:\n ref.fire = doc._fires[ref.fire]\n for ref in doc._action_refs:\n ref.action = doc._actions[ref.action]\n except KeyError as exc:\n raise ParseError(\"unknown reference %s\" % exc)\n\n doc.actions = [act for name, act in doc._actions.items()\n if name and name.startswith(\"top\")]\n\n del(doc._bullet_refs)\n del(doc._action_refs)\n del(doc._fire_refs)\n del(doc._bullets)\n del(doc._actions)\n del(doc._fires)\n \n return doc","def createElementFromState(state):","def __init__(self, level, content):\n try: # Check to make sure valid level is passed (must convert to int)\n int(level)\n except ValueError:\n raise TypeError(\"Level of H must be convertible to int\")\n self.tag = f\"h{level}\"\n Element.__init__(self, content=content)","def parts_from_xml(cls, xml_tree, song):\n return [\n cls.part_from_xml(score_part, xml_tree, song)\n for score_part in xml_tree.getroot().findall(\"part-list/score-part\")\n ]","def __init__(self, topic_id='', topic_name='', children=()):\n self.topic_id = topic_id\n self.topic_name = topic_name\n self.children = children","def __init__(self, xml_file, root_name, tags=[]):\n self.xml_file = xml_file\n self.tree = ET.ElementTree(ET.Element(root_name))\n self.root = self.tree.getroot()\n\n for tag in tags:\n self.root.set(tag[0], tag[1])","def __init__(self, xml_node: ET.Element) -> None:\n\t\treturn","def __init__(self,tag,attributes=None,children=None): \n self.tag = mapping[tag]\n if attributes is None:\n self.attributes = []\n else:\n self.attributes = attributes\n if children is None:\n self.children = []\n else:\n self.children = children","def __init__(self, parentNode=None):\n Idevice.__init__(self, x_(u\"Cloze Activity\"),\n x_(u\"University of Auckland\"), \n x_(u\"<p>Cloze exercises are texts or \"\n \"sentences where students must fill in \"\n \"missing words. They are often used for the \"\n \"following purposes:</p>\"\n \"<ol>\"\n \"<li>To check knowledge of core course \"\n \"concepts (this could be a pre-check, \"\n \"formative exercise, or summative check).</li>\"\n \"<li>To check reading comprehension.</li>\"\n \"<li>To check vocabulary knowledge.</li>\"\n \"<li>To check word formation and/or grammatical \"\n \"competence. </li></ol>\"),\n x_(u\"<dl>\"\n \" <dt>If your goal is to test understanding \"\n \"of core concepts or reading comprehension\"\n \" </dt>\"\n \" <dd>\"\n \" <p>\"\n \" Write a summary of the concept or reading long \"\n \" enough to adequately test the target's \"\n \"knowledge, but short enough not to \"\n \"induce fatigue. Less than one typed page is \"\n \"probably adequate, but probably \"\n \"considerably less for young students or \"\n \"beginners.\"\n \" </p>\"\n \" <p>\"\n \"Select words in the text that\"\n \"are key to understanding the concepts. These\"\n \"will probably be verbs, nouns, and key adverbs.\"\n \"Choose alternatives with one clear answer.\"\n \" </p>\"\n \" </dd>\"\n \" <dt>\"\n \"If your goal is to test vocabulary knowledge\"\n \" </dt>\"\n \" <dd>\"\n \"<p>Write a text using the target vocabulary. This \"\n \"text should be coherent and cohesive, and be of \"\n \"an appropriate length. Highlight the target \"\n \"words in the text. Choose alternatives with one \"\n \"clear answer.</p>\"\n \" </dd>\"\n \" <dt>\"\n \"If your goal is to test word \"\n \"formation/grammar:\"\n \" </dt>\"\n \" <dd>\"\n \" <p>\"\n \"Write a text using the \"\n \"target forms. This text should be coherent and \"\n \"cohesive, and be of an appropriate length. \"\n \"Remember that the goal is not vocabulary \"\n \"knowledge, so the core meanings of the stem \"\n \"words should be well known to the students.\"\n \" </p>\"\n \" <p>\"\n \"Highlight the target words in the text. Provide \"\n \"alternatives with the same word stem, but \"\n \"different affixes. It is a good idea to get a \"\n \"colleague to test the test/exercise to make \"\n \"sure there are no surprises!\"\n \" </p>\"\n \" </dd>\"\n \"</dl>\"),\n u\"question\",\n parentNode)\n self.instructionsForLearners = TextAreaField(\n x_(u'Instructions'),\n x_(u\"\"\"Provide instruction on how the cloze activity should be \ncompleted. Default text will be entered if there are no changes to this field.\n\"\"\"),\n x_(u'Read the paragraph below and '\n 'fill in the missing words.'))\n self.instructionsForLearners.idevice = self\n self._content = ClozeField(x_(u'Cloze'), \n x_(u\"\"\"<p>Enter the text for the cloze activity in to the cloze field \nby either pasting text from another source or by typing text directly into the \nfield.</p><p> To select words to hide, double click on the word to select it and \nclick on the Hide/Show Word button below.</p>\"\"\"))\n self._content.idevice = self\n self.feedback = TextAreaField(x_(u'Feedback'),\n x_(u'Enter any feedback you wish to provide the learner '\n 'with-in the feedback field. This field can be left blank.'))\n self.feedback.idevice = self\n self.emphasis = Idevice.SomeEmphasis\n self.systemResources += [\"common.js\"]\n self.isCloze = True","def __init__(self, item=None):\n self.item = item\n self.children = [] #List to hold all child nodes of this Node","def __init__(self, *args):\n this = _libsbml.new_SBMLDocument(*args)\n try: self.this.append(this)\n except: self.this = this","def visit(node):\r\n if getattr(node, 'due', None):\r\n units.append(node)\r\n else:\r\n for child in node.get_children():\r\n visit(child)","def test_sections_json_spider_three_levels(self):\n\n title = (\"Taking Action for the Social and Emotional Health of \"\n\t \"Young Children: A Report to the Community from the \" \n \"Denver Early Childhood Council\")\n summary = (\"Now, Denver has a plan of action to make it easier \"\n \"for families to access early childhood mental health \"\n \"information, intervention and services.\")\n byline = \"Denver Early Childhood Council\"\n story = create_story(title=title, summary=summary, byline=byline)\n layout = SectionLayout.objects.get(sectionlayouttranslation__name=\"Side by Side\")\n section1 = create_section(\"We're ready to take action. Are you?\",\n story=story, layout=layout, weight=7)\n section2 = create_section(\"Ricardo's Story\",\n\t\t\t story=story, layout=layout, weight=2)\n section3 = create_section(\"Meeting the need for better child mental health services\",\n\t\t\t story=story, layout=layout, root=True,\n weight=1)\n section4 = create_section(\"Healthy Minds Support Strong Futures\",\n story=story, layout=layout, weight=5) \n section5 = create_section(\"Community Voices\",\n\t\t\t story=story, layout=layout, weight=3)\n section6 = create_section(\"Our Vision: That All Children in Denver are Valued, Healthy and Thriving\",\n\t\t\t story=story, layout=layout, weight=4)\n section7 = create_section(\"Defining a \\\"Framework for Change\\\" with Actionable Goals and Strategies\",\n\t\t\t story=story, layout=layout, weight=5) \n section8 = create_section(\"How Can the Plan Make a Difference?\",\n\t\t\t story=story, layout=layout, weight=5)\n section9 = create_section(\"Impact\", story=story, layout=layout,\n weight=6)\n SectionRelation.objects.create(parent=section6, child=section8,\n weight=0)\n SectionRelation.objects.create(parent=section7, child=section9,\n weight=0)\n SectionRelation.objects.create(parent=section6, child=section7,\n weight=0)\n SectionRelation.objects.create(parent=section3, child=section1,\n weight=0)\n SectionRelation.objects.create(parent=section3, child=section6,\n weight=0)\n SectionRelation.objects.create(parent=section3, child=section4,\n weight=0)\n SectionRelation.objects.create(parent=section3, child=section5,\n weight=0)\n SectionRelation.objects.create(parent=section3, child=section2,\n weight=0)\n json_sections = simplejson.loads(story.structure.sections_json(\n include_summary=False, include_call_to_action=False))\n self.assertIn(section8.section_id,\n self._get_section(\n json_sections, section6.section_id)['children'])\n self.assertIn(section9.section_id,\n self._get_section(json_sections, section7.section_id)['children'])\n self.assertIn(section7.section_id,\n self._get_section(json_sections, section6.section_id)['children'])\n self.assertIn(section1.section_id,\n self._get_section(json_sections, section3.section_id)['children'])\n self.assertIn(section6.section_id,\n self._get_section(json_sections, section3.section_id)['children'])\n self.assertIn(section4.section_id,\n self._get_section(json_sections, section3.section_id)['children'])\n self.assertIn(section5.section_id,\n self._get_section(json_sections, section3.section_id)['children'])\n self.assertIn(section2.section_id,\n self._get_section(json_sections, section3.section_id)['children'])","def __init__(self, node: yaml.Node) -> None:\n self.yaml_node = node","def from_xml(cls, xml_data, system, id_generator):\r\n\r\n xml_object = etree.fromstring(xml_data)\r\n # VS[compat] -- just have the url_name lookup, once translation is done\r\n url_name = xml_object.get('url_name', xml_object.get('slug'))\r\n def_id = id_generator.create_definition(xml_object.tag, url_name)\r\n usage_id = id_generator.create_usage(def_id)\r\n\r\n # VS[compat] -- detect new-style each-in-a-file mode\r\n if is_pointer_tag(xml_object):\r\n # new style:\r\n # read the actual definition file--named using url_name.replace(':','/')\r\n filepath = cls._format_filepath(xml_object.tag, name_to_pathname(url_name))\r\n definition_xml = cls.load_file(filepath, system.resources_fs, def_id)\r\n else:\r\n definition_xml = xml_object\r\n filepath = None\r\n\r\n definition, children = cls.load_definition(definition_xml, system, def_id) # note this removes metadata\r\n\r\n # VS[compat] -- make Ike's github preview links work in both old and\r\n # new file layouts\r\n if is_pointer_tag(xml_object):\r\n # new style -- contents actually at filepath\r\n definition['filename'] = [filepath, filepath]\r\n\r\n metadata = cls.load_metadata(definition_xml)\r\n\r\n # move definition metadata into dict\r\n dmdata = definition.get('definition_metadata', '')\r\n if dmdata:\r\n metadata['definition_metadata_raw'] = dmdata\r\n try:\r\n metadata.update(json.loads(dmdata))\r\n except Exception as err:\r\n log.debug('Error in loading metadata %r', dmdata, exc_info=True)\r\n metadata['definition_metadata_err'] = str(err)\r\n\r\n # Set/override any metadata specified by policy\r\n cls.apply_policy(metadata, system.get_policy(usage_id))\r\n\r\n field_data = {}\r\n field_data.update(metadata)\r\n field_data.update(definition)\r\n field_data['children'] = children\r\n\r\n field_data['xml_attributes']['filename'] = definition.get('filename', ['', None]) # for git link\r\n kvs = InheritanceKeyValueStore(initial_values=field_data)\r\n field_data = KvsFieldData(kvs)\r\n\r\n return system.construct_xblock_from_class(\r\n cls,\r\n # We're loading a descriptor, so student_id is meaningless\r\n ScopeIds(None, xml_object.tag, def_id, usage_id),\r\n field_data,\r\n )","def __init__(self):\n self.root = TridNode()","def from_element(cls, elem):\n return cls(elem.attrib['pid'], elem.attrib['name'], elem.text, elem.attrib['tags'])","def __call__(self, filename, manuscript=\"\", journal=\"\", author=[], \n publisher=\"\"):\n\n # check the parameters\n while len(author) < 4:\n author.append(\"\")\n\n doc = getDocument(filename)\n\n Story = []\n\n # Section 1\n Story.append(\n Paragraph(\n \"\"\"<seqreset id=\"main\" /><seq id=\"main\">. THIS Amendment hereby \n modifies and supplements the attached Publication Agreement \n concerning the following Article:\"\"\", styles['outer_style'])\n )\n\n journal_info_table = Table([\n [fillInRow(manuscript, \"(manuscript title)\", width=inch*5)],\n [fillInRow(journal, \"(journal name)\", width=inch*5)],\n ],\n )\n journal_info_table.hAlign = 'LEFT'\n Story.append(journal_info_table)\n\n # Section 2\n Story.append(\n Paragraph(\n \"\"\"<seq id=\"main\">. The parties to the Publication Agreement and\n to this Amendment are:\"\"\", styles['outer_style'])\n )\n\n journal_info_table = Table([\n [fillInRow(author[0], \"(corresponding author)\", width=inch*5)],\n [Paragraph(\"and\", styles['outer_style'])],\n [fillInRow(journal, \"(the Publisher)\", width=inch*5)],\n ],\n )\n journal_info_table.hAlign = 'LEFT'\n Story.append(journal_info_table)\n\n # Section 3\n Story.append(\n Paragraph(\n \"\"\"<seq id=\"main\">. The parties agree that wherever there is any\n conflict between the Amendment and the Publication Agreement, \n the provisions of this Amendment are paramount and the \n Publication Agreement shall be construed accordingly.\"\"\",\n styles['outer_style'])\n )\n\n # Section 4\n Story.append(\n Paragraph(\n \"\"\"<seq id=\"main\">. Notwithstanding any terms in the Publication\nAgreement to the contrary and in addition to the rights retained by Author \nor licensed by Published to Author in the Publication Agreement and any fair \nuse rights of Author, Author and Publisher agree that the Author shall also \nretain the following rights:\"\"\",\n styles['outer_style'])\n )\n\n # 4a\n Story.append(\n Paragraph(\n \"\"\"a. The Author shall, without limitation, have the non-exclusive right to use, reproduce, distribute, create derivative works including update, perform, and display publicly, the Article in electronic, digital or print form in connection with the Author's teaching, conference presentations, lectures, other scholarly works, and for all of Author's academic and professional activities. \"\"\",\n styles['inner_style'])\n )\n\n # 4b\n Story.append(\n Paragraph(\n \"\"\"b. Once the Article has been published by Publisher, the Author shall also have all the non-exclusive rights necessary to make, or to authorize others to make, the final published version of the Article available in digital form over the Internet, including but not limited to a website under the control of the Author or the Author's employer or through any digital repository, such as MIT's DSpace or the National Library of Medicine's PubMed Central database.\"\"\",\n styles['inner_style'])\n )\n\n #4c\n Story.append(\n Paragraph(\n \"\"\"c. The Author further retains all non-exclusive rights necessary to grant to the Author's employing institution the non-exclusive right to use, reproduce, distribute, display, publicly perform, and make copies of the work in electronic, digital or in print form in connection with teaching, digital repositories, conference presentations, lectures, other scholarly works, and all academic and professional activities conducted at the Author's employing institution. \"\"\",\n styles['inner_style'])\n )\n\n # Section 5\n Story.append(\n Paragraph(\n \"\"\"<seq id=\"main\" />. <b>Final Agreement.</b> This Amendment and the Publication Agreement, taken together, constitute the final agreement between the Author and the Publisher with respect to the publication of the Article and allocation of rights under copyright in the Article. Any modification of or additions to the terms of this Amendment or to the Publication Agreement must be in writing and executed by both Publisher and Author in order to be effective.\"\"\",\n styles['outer_style'])\n )\n\n # Signature\n journal_info_table = Table([\n [\"AUTHOR\", \" \", \"PUBLISHER\"],\n [fillInRow(\"\", \"(corresponding author on behalf of all authors)\"),\n \"\", fillInRow(\"\", \"\")],\n [fillInRow(\"\", \"Date\"),\n \"\",\n fillInRow(\"\", \"Date\")]\n ],\n colWidths=[inch*3, inch*.25, inch*3],\n )\n\n journal_info_table.hAlign = 'LEFT'\n Story.append(journal_info_table)\n\n # MIT Directive\n Story.append(\n Paragraph(\"<b>MIT Authors:</b>\", styles['outer_style'])\n )\n Story.append(\n Paragraph(\"Please fax a copy of the agreement to 617-253-8894. Direct any questions to amend-cip@mit.edu\",\n styles['inner_style'])\n )\n\n\n agreement = \"%s %s\" % (self.NAME, self.VERSION)\n doc.build(Story, \n onFirstPage=mit_pageInfo, onLaterPages=mit_pageInfo)","def __init__(self, template, file_path):\n self.navigator = Navigator()\n self.template = template\n self.file_path = file_path\n self.template_data = read_xml_get_json(template, ordered_dict=True)\n self.data = read_xml_get_json(file_path, ordered_dict=True)\n self.output = {\"status\": True, \"message\": \"\"}\n self.root = \"Testcase\"\n self.major = (\"Details\", \"Requirements\", \"Steps\")","def createLesson(self):\n root = xml.Element(\"lesson\", id=str(self.__id_lesson))\n xml.SubElement(root, \"title\").text = self.__title\n xml.SubElement(root, \"description\").text = self.__description\n xml.SubElement(root, \"text\").text = self.__lesson_text\n link = xml.SubElement(root, \"link\")\n for i in range(len(self.__link)):\n xml.SubElement(link, \"L\" + str(i)).text = self.__link[i]\n tree = xml.ElementTree(root)\n tree.write(\"..\\Lessons\\lesson\" + str(self.__id_lesson) + \".xml\")","def fill_tree(self, dom: awe.data.graph.dom.Dom):\n\n for node in dom.nodes:\n self.fill_one(node)\n\n # Check that all extracted data were used.\n queue = [(self.data, '', None)]\n def get_xpath(tag_name: str, parent, suffix = ''):\n \"\"\"Utility for reconstructing XPath in case of error.\"\"\"\n xpath = f'{tag_name}{suffix}'\n if parent is not None:\n return get_xpath(parent[1], parent[2], xpath)\n return xpath\n while len(queue) > 0:\n item = queue.pop()\n node_data, tag_name, parent = item\n\n # Check `fill_one` was called on this entry.\n filled = node_data.pop('_filled', False)\n if not filled and tag_name != '':\n raise RuntimeError('Unused visual attributes for ' +\n f'{get_xpath(tag_name, parent)!r} in {self.path!r}.')\n\n # Add children to queue.\n for child_name, child_data in node_data.items():\n if child_name.startswith('/') and (\n get_tag_name(child_name)\n not in awe.data.parsing.IGNORED_TAG_NAMES\n ):\n queue.insert(0, (child_data, child_name, item))","def __init__(self, root, transform=None, face=True, scenery=False, test=False):\n self.root = root\n self.transform = transform\n self.face = face\n self.scenery = scenery\n self.dataset = []\n self.test = test\n self.create_dataset(root)","def createnode(node, content):\n for c in content:\n if isinstance(c, SpanNode):\n # Sub-node\n node.nodelist.append(c)\n c.pnode = node\n elif c[0] == 'span':\n node.eduspan = (c[1], c[2])\n elif c[0] == 'relation':\n node.relation = c[1]\n elif c[0] == 'leaf':\n node.eduspan = (c[1], c[1])\n node.nucspan = (c[1], c[1])\n node.nucedu = c[1]\n elif c[0] == 'text':\n node.text = c[1]\n else:\n raise ValueError(\"Unrecognized property: {}\".format(c[0]))\n return node","def FromJson(as_json):\n if _is_string(as_json):\n #we assume it's either a json string or a dictionary\n parsed = json.loads(as_json)\n else:\n parsed = as_json\n\n #labels\n if \"labels\" in parsed:\n parsed[\"labels\"] = set(parsed[\"labels\"]) # it comes as list in JSON\n\n if \"tasks\" in parsed:\n json_tasks = parsed[\"tasks\"]\n parsed[\"tasks\"] = []\n for json_task in json_tasks:\n the_task = Task.FromDictionary(json_task)\n parsed[\"tasks\"].append(the_task)\n\n story = Story()\n story.__dict__ = parsed\n return story"],"string":"[\n \"def from_node(cls, node):\\r\\n\\r\\n story = Story()\\r\\n story.story_id = _parse_text(node, 'id')\\r\\n story.name = _parse_text(node, 'name')\\r\\n story.owned_by = _parse_text(node, 'owned_by')\\r\\n story.story_type = _parse_text(node, 'story_type')\\r\\n story.state = _parse_text(node, 'current_state')\\r\\n story.description = _parse_text(node, 'description')\\r\\n story.estimate = _parse_int(node, 'estimate')\\r\\n story.labels = _parse_text(node, 'labels')\\r\\n story.url = _parse_text(node, 'url')\\r\\n story.project_id = _parse_text(node, 'project_id')\\r\\n\\r\\n note_nodes = node.find('notes')\\r\\n if note_nodes is not None:\\r\\n for note_node in note_nodes:\\r\\n note_id = _parse_text(note_node, 'id')\\r\\n text = _parse_text(note_node, 'text')\\r\\n author = _parse_text(note_node, 'author')\\r\\n story.notes.append(Note(note_id, text, author))\\r\\n\\r\\n attachment_nodes = node.find('attachments')\\r\\n if attachment_nodes is not None:\\r\\n for attachment_node in attachment_nodes:\\r\\n attachment_id = _parse_text(attachment_node, 'id')\\r\\n description = _parse_text(attachment_node, 'text')\\r\\n url = _parse_text(attachment_node, 'url')\\r\\n story.attachments.append(Attachment(attachment_id,description,url))\\r\\n\\r\\n task_nodes = node.find('tasks')\\r\\n if task_nodes is not None:\\r\\n for task_node in task_nodes:\\r\\n task_id = _parse_text(task_node, 'id')\\r\\n description = _parse_text(task_node, 'description')\\r\\n complete = _parse_boolean(task_node, 'complete')\\r\\n story.tasks.append(Task(task_id, description, complete))\\r\\n\\r\\n\\r\\n\\r\\n return story\",\n \"def FromXml(as_xml):\\n try:\\n parsed = minidom.parseString(as_xml)\\n except:\\n #this is just necessary for python2\\n parsed = minidom.parseString(as_xml.encode('utf-8'))\\n story = Story()\\n story.story_id = int(parsed.getElementsByTagName('id')[0].firstChild.data)\\n story.url = parsed.getElementsByTagName('url')[0].firstChild.data\\n story.owned_by = XmlDocument.GetDataFromTag(parsed, 'owned_by')\\n story.created_at = XmlDocument.ParseDatetimeIntoSecs(parsed, 'created_at')\\n story.updated_at = XmlDocument.ParseDatetimeIntoSecs(parsed, 'updated_at')\\n story.requested_by = XmlDocument.GetDataFromTag(parsed, 'requested_by')\\n iteration = XmlDocument.GetDataFromTag(parsed, 'number')\\n story.jira_url = XmlDocument.GetDataFromTag(parsed, 'jira_url')\\n story.jira_id = XmlDocument.GetDataFromTag(parsed, 'jira_id')\\n story.zendesk_url = XmlDocument.GetDataFromTag(parsed, 'zendesk_url')\\n story.zendesk_id = XmlDocument.GetDataFromTag(parsed, 'zendesk_id')\\n\\n if iteration:\\n story.iteration_number = int(iteration)\\n\\n tasks = XmlDocument.GetTagListForTag(parsed, \\\"task\\\")\\n if tasks is not None:\\n story.tasks = []\\n for task in tasks:\\n storyTaskDictionary = dict(description=None, complete=False, id=None)\\n storyTaskDictionary['description'] = XmlNodeList.toText(task.getElementsByTagName(\\\"description\\\"))\\n storyTaskDictionary['complete'] = XmlNodeList.toBool(task.getElementsByTagName('complete'))\\n storyTaskDictionary['id'] = XmlNodeList.toText(task.getElementsByTagName(\\\"id\\\"))\\n story.tasks.append(Task.FromDictionary(storyTaskDictionary))\\n\\n story.SetStoryType(\\n parsed.getElementsByTagName('story_type')[0].firstChild.data)\\n story.SetCurrentState(\\n parsed.getElementsByTagName('current_state')[0].firstChild.data)\\n story.SetName(XmlDocument.GetDataFromTag(parsed, 'name'))\\n story.SetDescription(XmlDocument.GetDataFromTag(parsed, 'description'))\\n story.SetDeadline(XmlDocument.ParseDatetimeIntoSecs(parsed, 'deadline'))\\n\\n estimate = XmlDocument.GetDataFromTag(parsed, 'estimate')\\n if estimate is not None:\\n story.estimate = estimate\\n labels = XmlDocument.GetDataFromTag(parsed, 'labels')\\n if labels is not None:\\n story.AddLabelsFromString(labels)\\n\\n story.ClearUpdatedFields()\\n return story\",\n \"def _parse(self, tree):\\n date_el = self.get_etree().xpath(DATE_XP)[0]\\n self.date = date_el.attrib['value']\\n self.year, self.month, self.day = self.date.split('-')\\n self.date_text = date_el.text\\n\\n def resolve_type(element):\\n return element.attrib.get('type', '').lower().strip('. ')\\n\\n def index_entity(nodes, model, article):\\n for n in nodes:\\n m = model(n, article)\\n if m.ok:\\n db.session.add(m)\\n\\n def get_html(article):\\n return html.tostring(tei.build(etree.Element('article'), article))\\n\\n root = self.get_etree()\\n for section in root.xpath('//div1'):\\n section_type = resolve_type(section)\\n if not section_type:\\n continue\\n for subsection in section.xpath('./div2'):\\n subsection_type = resolve_type(subsection)\\n if not subsection_type:\\n continue\\n for article in subsection.xpath('./div3'):\\n article_type = resolve_type(article)\\n if article_type == 'ad-blank':\\n continue\\n a = Article(issue_id=self.id,\\n date=self.date,\\n section_type=section_type,\\n subsection_type=subsection_type,\\n article_type=article_type,\\n xpath=root.getpath(article),\\n content=get_html(article))\\n db.session.add(a)\\n db.session.flush()\\n index_entity(article.xpath('.//persName'), PersName, a)\\n index_entity(article.xpath('.//placeName'), PlaceName, a)\\n index_entity(article.xpath('.//orgName'), OrgName, a)\\n index_entity(article.xpath('.//rs'), RefString, a)\",\n \"def __init__(self, song):\\n self.root = TreeNode(-1, 0, None)\\n\\n rolling_writers = [self.root]\\n n = len(song[\\\"dTseqs\\\"])\\n\\n for i in range(n):\\n next_note = (song[\\\"dTseqs\\\"][i], song[\\\"tseqs\\\"][i], song[\\\"pitchseqs\\\"][i])\\n # add the next note to the tree and let the writers go down one level\\n rolling_writers = [writer.add_child_and_move(next_note) for writer in rolling_writers]\\n # append a new writer\\n rolling_writers.append(self.root)\",\n \"def from_xml_node(cls, xml_node):\\n\\n steps = XML_List.from_xml_node_by_tags(xml_node, Elements.STEPS, Elements.STEP, Ticket_Step)\\n workflow_node = get_xml_node(xml_node, Elements.WORKFLOW)\\n workflow = Workflow.from_xml_node(workflow_node)\\n subject = get_xml_text_value(xml_node, Elements.SUBJECT)\\n requester = get_xml_text_value(xml_node, Elements.REQUESTER)\\n requester_id = get_xml_int_value(xml_node, Elements.REQUESTER_ID)\\n ticket_id = get_xml_int_value(xml_node, Elements.ID)\\n priority = get_xml_text_value(xml_node, Elements.PRIORITY)\\n status = get_xml_text_value(xml_node, Elements.STATUS)\\n domain_name = get_xml_text_value(xml_node, Elements.DOMAIN_NAME)\\n sla_status = get_xml_text_value(xml_node, Elements.SLA_STATUS)\\n sla_outcome = get_xml_text_value(xml_node, Elements.SLA_OUTCOME)\\n expiration_field_name = get_xml_text_value(xml_node, Elements.EXPIRATION_FIELD_NAME)\\n expiration_date = get_xml_text_value(xml_node, Elements.EXPIRATION_DATE)\\n\\n current_step_node = get_xml_node(xml_node, Elements.CURRENT_STEP, True)\\n if current_step_node:\\n current_step = Current_Step.from_xml_node(current_step_node)\\n else:\\n current_step = None\\n\\n application_details_node = get_xml_node(xml_node, Elements.APPLICATION_DETAILS, True)\\n if application_details_node:\\n application_details = Application_Details.from_xml_node(application_details_node)\\n else:\\n application_details = None\\n\\n comments = XML_List.from_xml_node_by_tags(xml_node, Elements.COMMENTS, Elements.COMMENT, Ticket_Comment, True)\\n return cls(workflow, current_step, subject, ticket_id, priority, status, domain_name, sla_status, sla_outcome,\\n expiration_field_name, expiration_date, steps, comments, requester, application_details,\\n requester_id)\",\n \"def parse(self, article: BeautifulSoup):\\n # Need to find content in a different manner for each of the different sitetypes.\\n # Read this as studio, video, article etc.\\n # Assume that only articles ask for this functionality\\n\\n title = self.get_title(article)\\n sub_title = self.get_sub_title(article)\\n words = self.get_words(article)\\n journalists = self.get_journalist(article)\\n images = self.get_images(article)\\n subscription = self.get_subscription(article)\\n content_list = self.get_content(article)\\n\\n if not title:\\n title = self.headline.revisions[0].title\\n\\n revision = Revision(timestamp=datetime.datetime.now(pytz.timezone(\\\"Europe/Oslo\\\")), title=title, sub_title=sub_title, words=words, subscription=subscription)\\n\\n article = Article(news_site=self.news_site, headline=self.headline)\\n\\n return revision, article, journalists, images, content_list\",\n \"def part_from_xml(cls, xml_score_part, xml_tree, song):\\n part = cls()\\n part.set_xml(xml_score_part, xml_tree)\\n part.name = part.get_xml_part_name(xml_score_part)\\n part.song = song\\n\\n return part\",\n \"def __init__(self,element,parent=None,children=None, state=None, player=None):\\n self._element = element\\n self._parent = parent\\n if children is None:\\n self._children = []\\n self._state = state\\n self._player = player\",\n \"def FromXML(cls, doc, element):\\n for subelem in list(element):\\n tag = realtag(subelem)\\n if tag == \\\"times\\\":\\n times = INumberDef(subelem.text)\\n elif tag == \\\"action\\\":\\n action = ActionDef.FromXML(doc, subelem)\\n elif tag == \\\"actionRef\\\":\\n action = ActionRef.FromXML(doc, subelem)\\n try:\\n return cls(times, action)\\n except UnboundLocalError as exc:\\n raise ParseError(str(exc))\",\n \"def _build_story(self, all_rows):\\n all_stories = [] # list to hold all stories\\n\\n for (info, detail) in all_rows:\\n\\n #-- Get the into about a story --#\\n info_cells = info.findAll('td') # split in 3 cells\\n\\n rank = int(info_cells[0].string[:-1])\\n title = info_cells[2].find('a').string.encode('utf-8')\\n link = info_cells[2].find('a').get('href')\\n\\n is_self = False # by default all stories are linking posts\\n\\n if link.find('http') is -1 : # the link doesn't contains \\\"http\\\" meaning an internal link\\n link = '%s/%s' % (BASE_URL, link)\\n domain = BASE_URL\\n is_self = True\\n else:\\n domain = info_cells[2].find('span').string[2:-2] # slice \\\" (abc.com) \\\"\\n #-- Get the into about a story --#\\n\\n #-- Get the detail about a story --#\\n detail_cell = detail.findAll('td')[1] # split in 2 cells, we need only second\\n detail_concern = detail_cell.contents # list of details we need, 5 count\\n\\n if re.match(r'^(\\\\d+)\\\\spoint.*', detail_concern[0].string) is not None:\\n # can be a link or self post\\n points = int(re.match(r'^(\\\\d+)\\\\spoint.*', detail_concern[0].string).groups()[0])\\n submitter = detail_concern[2].string.encode('utf-8')\\n submitter_profile = '%s/%s' % (BASE_URL, detail_concern[2].get('href'))\\n published_time = ' '.join(detail_concern[3].strip().split()[:3])\\n comment_tag = detail_concern[4]\\n story_id = int(re.match(r'.*=(\\\\d+)', comment_tag.get('href')).groups()[0])\\n comments_link = '%s/item?id=%d' % (BASE_URL, story_id)\\n comment_count = re.match(r'(\\\\d+)\\\\s.*', comment_tag.string)\\n try:\\n # regex matched, cast to int\\n num_comments = int(comment_count.groups()[0])\\n except AttributeError:\\n # did not match, assign 0\\n num_comments = 0\\n else: # this is a job post\\n points = 0\\n submitter = None\\n submitter_profile = None\\n published_time = detail_concern[0]\\n comment_tag = None\\n try:\\n story_id = int(re.match(r'.*=(\\\\d+)', link).groups()[0])\\n except AttributeError:\\n story_id = None # job listing that points to external link\\n comments_link = None\\n comment_count = 0\\n #-- Get the detail about a story --#\\n\\n story = {\\n \\\"rank\\\": rank,\\n \\\"story_id\\\": story_id,\\n \\\"title\\\": title,\\n \\\"link\\\": link,\\n \\\"domain\\\": domain,\\n \\\"points\\\": points,\\n \\\"submitter\\\": submitter,\\n \\\"published_time\\\": published_time,\\n \\\"submitter_profile\\\": submitter_profile,\\n \\\"num_comments\\\": num_comments,\\n \\\"comments_link\\\": comments_link,\\n \\\"is_self\\\": is_self\\n\\n }\\n all_stories.append(story)\\n\\n return all_stories\",\n \"def from_node(self, root):\\n \\n self.set_at_from_string(root.getAttribute(\\\"at\\\"))\\n self.action = root.getAttribute(\\\"action\\\")\\n self.actor = root.getAttribute(\\\"actor\\\")\\n self.regarding = root.getAttribute(\\\"regarding\\\")\\n self.source = root.getAttribute(\\\"source\\\")\\n self.tags = root.getAttribute(\\\"tags\\\").split(\\\",\\\")\\n self.to = root.getAttribute(\\\"to\\\")\\n self.url = root.getAttribute(\\\"url\\\")\\n\\n for node in root.childNodes:\\n if node.tagName == 'payload':\\n for subnode in node.childNodes:\\n if subnode.tagName == 'body':\\n self.body = subnode.childNodes[0].nodeValue\\n elif subnode.tagName == 'raw':\\n self.raw = subnode.childNodes[0].nodeValue\",\n \"def __init__(self, article_xml):\\n self.article_xml = article_xml\\n self.links = self.grab_links()\\n self.first_link = self.parse_first_link()\",\n \"def __init__(self, settings, conflict):\\n #generates the initial setting\\n self.start_setting = random.choice(settings)\\n self.current_setting = self.start_setting\\n\\n #gets a random character from possible setting characters as protagonist\\n self.protag = random.choice(self.start_setting.characters)\\n\\n #selects as antagonist a random character that either the protagonist knows or is related\\n #to the setting\\n antaglist = list(set(self.protag.characters).union(self.start_setting.characters))\\n self.antag = random.choice(antaglist)\\n\\n self.antag.set_protagonist(self.protag)\\n self.protag.set_antagonist(self.antag)\\n\\n #lays out the basic story relations\\n self.subsections = []\\n\\n for relation_outline in conflict.conflict_outline: \\n subsection = Subsection() \\n subsection.init_from_outline(relation_outline, self.protag, self.current_setting)\\n self.subsections.append(subsection)\\n\\n #connects the rest of the story together\\n self.details = []\",\n \"def _build(self):\\n xml = ET.parse(self.fn)\\n root = xml.getroot()\\n\\n metadata = None\\n trk = None\\n self.prefix = root.tag[:-3]\\n metadata = root.find(self._get_tag('metadata'))\\n # print(metadata.find(self._get_tag('time')))\\n trk = root.find(self._get_tag('trk'))\\n\\n trkseg = trk.find(self._get_tag('trkseg'))\\n\\n # I just wanted to flatten the track point and get the\\n # fields that I am actually interested in.\\n def walker(node):\\n nonlocal data\\n tags = {'lat': float,\\n 'lon': float,\\n 'ele': float,\\n 'time': cvt_time,\\n 'temp': float,\\n 'hr': float}\\n for tag in tags:\\n if node.tag.find(tag) >= 0:\\n data[tag] = tags[tag](node.text)\\n for child in node:\\n walker(child)\\n\\n for trkpt in trkseg.findall(self._get_tag('trkpt')):\\n data = {}\\n data['lat'] = trkpt.attrib['lat']\\n data['lon'] = trkpt.attrib['lon']\\n walker(trkpt)\\n self.points.append(TrackPoint(**data))\",\n \"def _convert_story_send_to_story_tag(self, ss_tag_orig):\\n # take a copy to preserve the original\\n ss_tag = copy.deepcopy(ss_tag_orig)\\n # change <roStorySend> to <story>\\n ss_tag.tag = 'story'\\n for item in ss_tag.find('storyBody').findall('storyItem'):\\n # change <storyItem> to <item>\\n item.tag = 'item'\\n story_body, story_body_index = find_child(parent=ss_tag, child_tag='storyBody')\\n children = list(story_body)\\n # move all children of <storyBody> to <story>\\n for sb_index, child in enumerate(children, start=story_body_index):\\n insert_node(parent=ss_tag, node=child, index=sb_index)\\n remove_node(parent=ss_tag, node=story_body)\\n return ss_tag\",\n \"def __init__(self, content=None):\\n for elem in content:\\n self.append(self.convertNode(elem))\",\n \"def __init__(self, node: etree.Element) -> None:\\n self.node = node\\n\\n child_tags: t.MutableMapping[str, t.MutableSequence[etree.Element]] = {}\\n for child in node:\\n if child.tag in child_tags:\\n child_tags[child.tag].append(child)\\n else:\\n child_tags[child.tag] = [child]\\n\\n # 'Freeze' the child tags attribute so that it appears immutable\\n self.child_tags: t.Mapping[str, t.Sequence[etree.Element]] = child_tags\",\n \"def from_xml_node(cls, xml_node):\\n step_id = get_xml_int_value(xml_node, Elements.ID)\\n step_name = get_xml_text_value(xml_node, Elements.NAME)\\n skipped = get_xml_text_value(xml_node, Elements.SKIPPED)\\n redone = get_xml_text_value(xml_node, Elements.REDONE)\\n tasks = XML_List.from_xml_node_by_tags(xml_node, Elements.TASKS, Elements.TASK, Step_Task)\\n return cls(step_id, step_name, redone, skipped, tasks)\",\n \"def from_xml_node(cls, xml_node):\\n date = get_xml_text_value(xml_node, Elements.DATE)\\n performed_by = get_xml_text_value(xml_node, Elements.PERFORMED_BY)\\n description = get_xml_text_value(xml_node, Elements.DESCRIPTION)\\n step_name = get_xml_text_value(xml_node, Elements.STEP_NAME)\\n task_name = get_xml_text_value(xml_node, Elements.TASK_NAME)\\n return cls(date, performed_by, description, step_name, task_name)\",\n \"def test_auto_add_assets_to_story(self):\\n # Create a story\\n title = ('Transportation Challenges Limit Education Choices for '\\n 'Denver Parents')\\n summary = \\\"\\\"\\\"\\n Many families in the Denver metro area use public\\n transportation instead of a school bus because for them, a\\n quality education is worth hours of daily commuting. Colorado's\\n school choice program is meant to foster educational equity,\\n but the families who benefit most are those who have time and\\n money to travel. Low-income families are often left in a lurch.\\n \\\"\\\"\\\"\\n byline = \\\"Mile High Connects\\\"\\n story = create_story(title=title, summary=summary, byline=byline)\\n # Confirm that the story has no assets\\n self.assertEqual(story.assets.count(), 0)\\n # create a Section\\n section = create_section(title=\\\"Test Section 1\\\", story=story)\\n # create a HtmlAsset\\n asset = HtmlAsset()\\n asset.save()\\n translation = HtmlAssetTranslation(title='Test Asset', asset=asset)\\n translation.save()\\n # Assign the asset to the section\\n section_asset = SectionAsset(section=section, asset=asset, weight=0)\\n section_asset.save()\\n # Confirm the asset is in the section's list\\n self.assertTrue(asset in section.assets.select_subclasses())\\n # Confirm that the asset is in the story's list\\n self.assertTrue(asset in story.assets.select_subclasses())\",\n \"def parse(self):\\n def _parse_pathway(attrib):\\n for k, v in attrib.items():\\n self.pathway.__setattr__(k, v)\\n\\n def _parse_entry(element):\\n new_entry = Entry()\\n for k, v in element.attrib.items():\\n new_entry.__setattr__(k, v)\\n for subelement in element.getchildren():\\n if subelement.tag == 'graphics':\\n _parse_graphics(subelement, new_entry)\\n elif subelement.tag == 'component':\\n _parse_component(subelement, new_entry)\\n self.pathway.add_entry(new_entry)\\n\\n def _parse_graphics(element, entry):\\n new_graphics = Graphics(entry)\\n for k, v in element.attrib.items():\\n new_graphics.__setattr__(k, v)\\n entry.add_graphics(new_graphics)\\n\\n def _parse_component(element, entry):\\n new_component = Component(entry)\\n for k, v in element.attrib.items():\\n new_component.__setattr__(k, v)\\n entry.add_component(new_component)\\n\\n def _parse_reaction(element):\\n new_reaction = Reaction()\\n for k, v in element.attrib.items():\\n new_reaction.__setattr__(k, v)\\n for subelement in element.getchildren():\\n if subelement.tag == 'substrate':\\n new_reaction.add_substrate(int(subelement.attrib['id']))\\n elif subelement.tag == 'product':\\n new_reaction.add_product(int(subelement.attrib['id']))\\n self.pathway.add_reaction(new_reaction)\\n\\n def _parse_relation(element):\\n new_relation = Relation()\\n new_relation.entry1 = int(element.attrib['entry1'])\\n new_relation.entry2 = int(element.attrib['entry2'])\\n new_relation.type = element.attrib['type']\\n for subtype in element.getchildren():\\n name, value = subtype.attrib['name'], subtype.attrib['value']\\n if name in ('compound', 'hidden compound'):\\n new_relation.subtypes.append((name, int(value)))\\n else:\\n new_relation.subtypes.append((name, value))\\n self.pathway.add_relation(new_relation)\\n\\n #==========#\\n # Initialise Pathway\\n self.pathway = Pathway()\\n # Get information about the pathway itself\\n _parse_pathway(self.entry.attrib)\\n for element in self.entry.getchildren():\\n if element.tag == 'entry':\\n _parse_entry(element)\\n elif element.tag == 'reaction':\\n _parse_reaction(element)\\n elif element.tag == 'relation':\\n _parse_relation(element)\\n # Parsing of some elements not implemented - no examples yet\\n else:\\n # This should warn us of any unimplemented tags\\n print \\\"Warning: tag %s not implemented in parser\\\" % element.tag\\n return self.pathway\",\n \"def _setup(self) -> None:\\n\\t\\t# Set name from tag\\n\\t\\tself.name = self._element.tag\\n\\n\\t\\t# Get attributes and add them to the attributes list\\n\\t\\tfor attribute in self._element.attrib:\\n\\t\\t\\tself.attributes.append(attribute)\\n\\n\\t\\t# Get Children, add them to their respective lists\\n\\t\\tchild: ET.Element\\n\\t\\tfor child in self._element:\\n\\t\\t\\t# Determine if child is a SubNode or a Node\\n\\t\\t\\t# If child has children or attributes it is a Node\\n\\t\\t\\tif len(child) or len(child.attrib):\\n\\t\\t\\t\\t# Add Node\\n\\t\\t\\t\\tself.add_node(Node(child))\\n\\t\\t\\telse:\\n\\t\\t\\t\\tself.add_subnode(SubNode(child))\",\n \"def reconstruct_harlowe_html(story_attribs, other_elems, passages):\\n\\n passages_html = '\\\\n'.join([str(passage_obj) for _, passage_obj in passages.items()])+'\\\\n'\\n\\n story_elem = etree.Element(_STORY_TAG, story_attribs)\\n if other_elems:\\n story_elem.extend(other_elems)\\n\\n story_html = etree.tostring(story_elem, encoding='unicode')\\n\\n # Add the passages_html in by hand, since adding it to an xml element would escape\\n # all of the angle brackets, turning them into < and >\\n before, sep, after = story_html.partition('</'+_STORY_TAG+'>')\\n story_html = before+passages_html+sep+after\\n\\n return story_html\",\n \"def populate_dummy(portal):\\n\\n article_fld = portal['articles-folder']\\n # Create some articles with combinations of 3 tags\\n\\n create_article(\\n container=article_fld,\\n title=\\\"Article 1a\\\",\\n subject=['tag1'],\\n )\\n create_article(\\n container=article_fld,\\n title=\\\"Article 2a\\\",\\n subject=['tag2'],\\n )\\n create_article(\\n container=article_fld,\\n title=\\\"Article 3a\\\",\\n subject=['tag3'],\\n )\\n create_article(\\n container=article_fld,\\n title=\\\"Article 1b\\\",\\n subject=['tag1'],\\n )\\n create_article(\\n container=article_fld,\\n title=\\\"Article 12a\\\",\\n subject=['tag1', 'tag2'],\\n )\\n create_article(\\n container=article_fld,\\n title=\\\"Article 123a\\\",\\n subject=['tag1', 'tag2', 'tag3'],\\n )\\n\\n create_article(\\n container=article_fld,\\n title=\\\"Article H\\\",\\n subject=['htag'],\\n )\\n create_article(\\n container=article_fld,\\n title=\\\"Article H2a\\\",\\n subject=['htag', 'tag2'],\\n )\\n\\n # htag is highlighted in navigation\\n portal['tags-folder']['htag'].highlight_in_navigation = True\\n # Add some text and an 'image' to htag\\n portal['tags-folder']['htag'].text = 'Highlighted tag text'\\n portal['tags-folder']['htag'].image = 'Highlighted tag image'\",\n \"def FromXML(cls, doc, element):\\n actions = []\\n speed = None\\n direction = None\\n tags = set()\\n for subelem in list(element):\\n tag = realtag(subelem)\\n if tag == \\\"direction\\\":\\n direction = Direction.FromXML(doc, subelem)\\n elif tag == \\\"speed\\\":\\n speed = Speed.FromXML(doc, subelem)\\n elif tag == \\\"action\\\":\\n actions.append(ActionDef.FromXML(doc, subelem))\\n elif tag == \\\"actionRef\\\":\\n actions.append(ActionRef.FromXML(doc, subelem))\\n elif tag == \\\"tag\\\":\\n tags.add(subelem.text)\\n dfn = cls(actions, direction, speed, tags)\\n doc._bullets[element.get(\\\"label\\\")] = dfn\\n return dfn\",\n \"def __init__(self, xml_node: ET.Element) -> None:\\n\\t\\t# Call super\\n\\t\\tsuper(__class__, self).__init__()\\n\\t\\t# Set blank variables\\n\\t\\tself.nodes: List[Node] = []\\n\\t\\tself.attributes = []\\n\\t\\tself.subfiles = set()\\n\\t\\tself.nested = False\\n\\t\\t# Set _element\\n\\t\\tself._element = xml_node\\n\\t\\t# Call _setup() to setup node, uses _element\\n\\t\\tself._setup()\",\n \"def from_xml_node(cls, xml_node):\\n content = get_xml_text_value(xml_node, Elements.CONTENT)\\n created = get_xml_text_value(xml_node, Elements.CREATED)\\n task_name = get_xml_text_value(xml_node, Elements.TASK_NAME)\\n comment_type = get_xml_text_value(xml_node, Elements.TYPE)\\n user = get_xml_text_value(xml_node, Elements.USER)\\n return cls(content, created, task_name, comment_type, user)\",\n \"def __init__(self, content: _content_type):\\n self.content = content\\n self.children: List[Nodo] = []\",\n \"def from_xml_node(cls, xml_node):\\n step_id = get_xml_int_value(xml_node, Elements.ID)\\n step_name = get_xml_text_value(xml_node, Elements.NAME)\\n return cls(step_id, step_name)\",\n \"def filter_articles(tree: ElementTree, issue_num: str) -> List[Article]: \\n root = tree.getroot()\\n articles: List[Article] = []\\n article_tags = root.findall('.//item')\\n for article_tag in article_tags:\\n if not is_for_issue(article_tag, issue_num):\\n continue\\n article = Article()\\n #possible optimization, instead of calling find several times,\\n #loop through tag children once and parse out data as we run into it\\n article.title = article_tag.find('title').text\\n #we will post process this later\\n article.author = 'UNKNOWN AUTHOR'\\n article_text_content = article_tag.find('content:encoded', XML_NS).text\\n article.content = BeautifulSoup(article_text_content, 'html.parser')\\n articles.append(article)\\n return articles\",\n \"def _process_data(self, wiki_xml):\\r\\n MEDIAWIKI_NS = 'http://www.mediawiki.org/xml/export-0.3/'\\r\\n sequences = []\\r\\n lw_url_re = re.compile(r'\\\\[(http://lesswrong\\\\.com/lw/[^ ]+) [^\\\\]]+\\\\]')\\r\\n\\r\\n for page in wiki_xml.getroot().iterfind('.//{%s}page' % MEDIAWIKI_NS): # TODO: Change to use iterparse\\r\\n # Get the titles\\r\\n title = page.findtext('{%s}title' % MEDIAWIKI_NS)\\r\\n\\r\\n # See if this page is a sequence page\\r\\n sequence_elem = page.xpath(\\\"mw:revision[1]/mw:text[contains(., '[[Category:Sequences]]')]\\\", namespaces={'mw': MEDIAWIKI_NS})\\r\\n\\r\\n if sequence_elem:\\r\\n sequence_elem = sequence_elem[0]\\r\\n articles = []\\r\\n\\r\\n # Find all the lesswrong urls\\r\\n for match in lw_url_re.finditer(sequence_elem.text):\\r\\n article_url = UrlParser(match.group(1))\\r\\n\\r\\n # Only store the path to the article\\r\\n article_path = article_url.path\\r\\n\\r\\n # Ensure path ends in slash\\r\\n if article_path[-1] != '/':\\r\\n article_path += '/'\\r\\n\\r\\n articles.append(article_path)\\r\\n\\r\\n sequences.append({\\r\\n 'title': title,\\r\\n 'articles': articles\\r\\n })\\r\\n return {'sequences': sequences}\",\n \"def __init__(self, id, left, right, parent, depth, kind, text, relname, relkind):\\n\\n\\t\\tself.id = id\\n\\t\\tself.parent = parent\\n\\t\\tself.left = left\\n\\t\\tself.right = right\\n\\t\\tself.depth = depth\\n\\t\\tself.kind = kind #edu, multinuc or span node\\n\\t\\tself.text = text #text of an edu node; empty for spans/multinucs\\n\\t\\tself.token_count = text.count(\\\" \\\") + 1\\n\\t\\tself.relname = relname\\n\\t\\tself.relkind = relkind #rst (a.k.a. satellite), multinuc or span relation\\n\\t\\tself.sortdepth = depth\\n\\t\\tself.children = []\\n\\t\\tself.leftmost_child = \\\"\\\"\\n\\t\\tself.dep_parent = \\\"\\\"\\n\\t\\tself.dep_rel = relname\\n\\t\\tself.tokens = []\\n\\t\\tself.parse = \\\"\\\"\",\n \"def fill_in_toc(xml, title=None, author=None, uid=None, names=None, headings=None):\\n ncx = xml.getroot()\\n if uid:\\n head = ncx.find(DAISY + \\\"head\\\")\\n meta_uid = head.find('./' + DAISY + 'meta[@name=\\\"dtb:uid\\\"]')\\n meta_uid.set(\\\"content\\\", uid)\\n if title:\\n docTitle = ncx.find(DAISY + \\\"docTitle\\\")\\n text = docTitle.find(DAISY + \\\"text\\\")\\n text.text = title\\n if author:\\n docAuthor = ncx.find(DAISY + \\\"docAuthor\\\")\\n text = docAuthor.find(DAISY + \\\"text\\\")\\n text.text = author\\n\\n #\\n # If a list of names is provided, clear the navMap and add the\\n # names in the order provided.\\n #\\n if names:\\n #\\n # Remove any existing navMap\\n #\\n navMap = ncx.find(DAISY + \\\"navMap\\\")\\n for c in navMap.iterchildren():\\n navMap.remove(c)\\n\\n index = 1\\n other_names = set(['front', 'toc'])\\n content_names = set(name for name in names if name not in other_names)\\n for name in names:\\n if name in other_names:\\n #\\n # FIXME: The intention is to do something fancy\\n # with title pages, TOCs etc. For now though, just\\n # ignore them.\\n #\\n continue\\n\\n navPoint = etree.SubElement(navMap, \\\"navPoint\\\", id=\\\"chapter-%d\\\" % index, playOrder=\\\"%d\\\" % index)\\n navLabel = etree.SubElement(navPoint, \\\"navLabel\\\")\\n etree.SubElement(navLabel, \\\"text\\\").text = name\\n etree.SubElement(navPoint, \\\"content\\\", src=\\\"content/%s.xhtml\\\" % name)\\n index += 1\\n\\n if headings:\\n document_headings = headings.get(name)\\n if document_headings:\\n for id, text in document_headings:\\n subNavPoint = etree.SubElement(navPoint, \\\"navPoint\\\", id=id, playOrder=\\\"%d\\\" % index)\\n subNavLabel = etree.SubElement(subNavPoint, \\\"navLabel\\\")\\n etree.SubElement(subNavLabel, \\\"text\\\").text = text\\n etree.SubElement(subNavPoint, \\\"content\\\", src=\\\"content/%s.xhtml#%s\\\" % (name, id))\\n index += 1\\n\\n\\n return xml\",\n \"def ToXml(self):\\n doc = xml.dom.getDOMImplementation().createDocument(None, 'story', None)\\n story = doc.getElementsByTagName('story')[0]\\n\\n # Most fields are just simple strings or ints, so we treat them all in the\\n # same way.\\n for field_name in self.UPDATE_FIELDS:\\n if field_name not in self.updated_fields:\\n continue\\n v = getattr(self, field_name)\\n if v is not None:\\n new_tag = doc.createElement(field_name)\\n new_tag.appendChild(doc.createTextNode(str(v)))\\n story.appendChild(new_tag)\\n\\n # Labels are represented internally as sets.\\n if self.labels is not None:\\n labels_tag = doc.createElement('labels')\\n labels_tag.appendChild(doc.createTextNode(self.GetLabelsAsString()))\\n story.appendChild(labels_tag)\\n\\n # Dates are special\\n DATE_FORMAT = '%Y/%m/%d %H:%M:%S UTC'\\n\\n if self.deadline:\\n formatted = time.strftime(DATE_FORMAT, time.gmtime(self.deadline))\\n deadline_tag = doc.createElement('deadline')\\n deadline_tag.setAttribute('type', 'datetime')\\n deadline_tag.appendChild(doc.createTextNode(formatted))\\n story.appendChild(deadline_tag)\\n\\n if self.created_at and \\\"created_at\\\" in self.updated_fields:\\n formatted = time.strftime(DATE_FORMAT, time.gmtime(self.created_at))\\n created_at_tag = doc.createElement('created_at')\\n created_at_tag.setAttribute('type', 'datetime')\\n created_at_tag.appendChild(doc.createTextNode(formatted))\\n story.appendChild(created_at_tag)\\n\\n #don't update updated_at field as it will autoupdate\\n return doc.toxml('utf-8')\",\n \"def __init__(self, parent):\\n if isinstance(parent, Node):\\n self.parent = parent\\n self.tree = parent.tree\\n self.depth = parent.depth + 1\\n else:\\n self.parent = None\\n self.tree = parent\\n self.depth = 0\\n self.children = []\\n self.childrencreated = 0\\n self.expanded = 0\\n self.selected = 0\\n \\n self.text_id = 0\\n self.image_id = 0\\n self.minusplus_id = 0\\n \\n self.oldy = -1000\\n self.changed = 0\\n \\n if not self.parent: self.tree._setnode(self) # Root Node must be passed to the tree.\",\n \"def __init__(self, item):\\n self._element = item\\n self._leftchild = None\\n self._rightchild = None\\n self._parent = None\",\n \"def from_xml_node(xml_node):\\n id = int(xml_node.find(\\\"Id\\\").text)\\n chest_region = int(xml_node.find(\\\"ChestRegion\\\").text)\\n chest_type = int(xml_node.find(\\\"ChestType\\\").text)\\n featureNode = xml_node.find(\\\"ImageFeature\\\")\\n if featureNode is None:\\n feature_type = 0\\n else:\\n feature_type = int(featureNode.text)\\n\\n # Description\\n desc = xml_node.find(\\\"Description\\\")\\n if desc is not None:\\n desc = desc.text\\n\\n # Timestamp and user info\\n timestamp = xml_node.find(\\\"Timestamp\\\")\\n if timestamp is not None:\\n timestamp = timestamp.text\\n user_name = xml_node.find(\\\"UserName\\\")\\n if user_name is not None:\\n user_name = user_name.text\\n machine_name = xml_node.find(\\\"MachineName\\\")\\n if machine_name is not None:\\n machine_name = machine_name.text\\n\\n structure = Structure(chest_region, chest_type, feature_type, description=desc, timestamp=timestamp,\\n user_name=user_name, machine_name=machine_name)\\n structure.__id__ = id\\n return structure\",\n \"def setUp(self):\\n self.builder = NewsBuilder()\\n self.project = FilePath(self.mktemp())\\n self.project.createDirectory()\\n self.existingText = 'Here is stuff which was present previously.\\\\n'\\n self.createStructure(self.project, {\\n 'NEWS': self.existingText,\\n '5.feature': 'We now support the web.\\\\n',\\n '12.feature': 'The widget is more robust.\\\\n',\\n '15.feature': (\\n 'A very long feature which takes many words to '\\n 'describe with any accuracy was introduced so that '\\n 'the line wrapping behavior of the news generating '\\n 'code could be verified.\\\\n'),\\n '16.feature': (\\n 'A simpler feature\\\\ndescribed on multiple lines\\\\n'\\n 'was added.\\\\n'),\\n '23.bugfix': 'Broken stuff was fixed.\\\\n',\\n '25.removal': 'Stupid stuff was deprecated.\\\\n',\\n '30.misc': '',\\n '35.misc': '',\\n '40.doc': 'foo.bar.Baz.quux',\\n '41.doc': 'writing Foo servers'})\",\n \"def parse_journal_article_record(root) -> dict:\\n\\n # print(\\\"Root\\\", root)\\n # pmid = root.find(\\\"PMID\\\").text\\n # print(\\\"PMID\\\", pmid)\\n # quit()\\n\\n doc = {\\n \\\"abstract\\\": \\\"\\\",\\n \\\"pmid\\\": \\\"\\\",\\n \\\"title\\\": \\\"\\\",\\n \\\"authors\\\": [],\\n \\\"pub_date\\\": \\\"\\\",\\n \\\"journal_iso_title\\\": \\\"\\\",\\n \\\"journal_title\\\": \\\"\\\",\\n \\\"doi\\\": \\\"\\\",\\n \\\"compounds\\\": [],\\n \\\"mesh\\\": [],\\n }\\n\\n doc[\\\"pmid\\\"] = root.xpath(\\\".//PMID/text()\\\")[0]\\n\\n doc[\\\"title\\\"] = next(iter(root.xpath(\\\".//ArticleTitle/text()\\\")), \\\"\\\")\\n\\n # TODO https:.//stackoverflow.com/questions/4770191/lxml-etree-element-text-doesnt-return-the-entire-text-from-an-element\\n atext = next(iter(root.xpath(\\\".//Abstract/AbstractText/text()\\\")), \\\"\\\")\\n\\n for abstracttext in root.xpath(\\\".//Abstract/AbstractText\\\"):\\n abstext = node_text(abstracttext)\\n\\n label = abstracttext.get(\\\"Label\\\", None)\\n if label:\\n doc[\\\"abstract\\\"] += f\\\"{label}: {abstext}\\\\n\\\"\\n else:\\n doc[\\\"abstract\\\"] += f\\\"{abstext}\\\\n\\\"\\n\\n doc[\\\"abstract\\\"] = doc[\\\"abstract\\\"].rstrip()\\n\\n doc[\\\"authors\\\"] = []\\n for author in root.xpath(\\\".//Author\\\"):\\n last_name = next(iter(author.xpath(\\\"LastName/text()\\\")), \\\"\\\")\\n first_name = next(iter(author.xpath(\\\"ForeName/text()\\\")), \\\"\\\")\\n initials = next(iter(author.xpath(\\\"Initials/text()\\\")), \\\"\\\")\\n if not first_name and initials:\\n first_name = initials\\n doc[\\\"authors\\\"].append(f\\\"{last_name}, {first_name}\\\")\\n\\n pub_year = next(iter(root.xpath(\\\".//Journal/JournalIssue/PubDate/Year/text()\\\")), None)\\n pub_mon = next(iter(root.xpath(\\\".//Journal/JournalIssue/PubDate/Month/text()\\\")), \\\"Jan\\\")\\n pub_day = next(iter(root.xpath(\\\".//Journal/JournalIssue/PubDate/Day/text()\\\")), \\\"01\\\")\\n medline_date = next(\\n iter(root.xpath(\\\".//Journal/JournalIssue/PubDate/MedlineDate/text()\\\")), None\\n )\\n\\n pub_date = process_pub_date(doc[\\\"pmid\\\"], pub_year, pub_mon, pub_day, medline_date)\\n\\n doc[\\\"pub_date\\\"] = pub_date\\n doc[\\\"journal_title\\\"] = next(iter(root.xpath(\\\".//Journal/Title/text()\\\")), \\\"\\\")\\n doc[\\\"joural_iso_title\\\"] = next(iter(root.xpath(\\\".//Journal/ISOAbbreviation/text()\\\")), \\\"\\\")\\n doc[\\\"doi\\\"] = next(iter(root.xpath('.//ArticleId[@IdType=\\\"doi\\\"]/text()')), None)\\n\\n doc[\\\"compounds\\\"] = []\\n for chem in root.xpath(\\\".//ChemicalList/Chemical/NameOfSubstance\\\"):\\n chem_id = chem.get(\\\"UI\\\")\\n doc[\\\"compounds\\\"].append({\\\"id\\\": f\\\"MESH:{chem_id}\\\", \\\"name\\\": chem.text})\\n\\n compounds = [cmpd[\\\"id\\\"] for cmpd in doc[\\\"compounds\\\"]]\\n doc[\\\"mesh\\\"] = []\\n for mesh in root.xpath(\\\".//MeshHeading/DescriptorName\\\"):\\n mesh_id = f\\\"MESH:{mesh.get('UI')}\\\"\\n if mesh_id in compounds:\\n continue\\n doc[\\\"mesh\\\"].append({\\\"id\\\": mesh_id, \\\"name\\\": mesh.text})\\n\\n return doc\",\n \"def FromXML(cls, doc, element):\\n direction = None\\n speed = None\\n offset = None\\n tags = set()\\n appearance = None\\n\\n for subelem in list(element):\\n tag = realtag(subelem)\\n if tag == \\\"direction\\\":\\n direction = Direction.FromXML(doc, subelem, \\\"aim\\\")\\n elif tag == \\\"speed\\\":\\n speed = Speed.FromXML(doc, subelem)\\n elif tag == \\\"bullet\\\":\\n bullet = BulletDef.FromXML(doc, subelem)\\n elif tag == \\\"bulletRef\\\":\\n bullet = BulletRef.FromXML(doc, subelem)\\n elif tag == \\\"offset\\\":\\n offset = Offset.FromXML(doc, subelem)\\n elif tag == \\\"tag\\\":\\n tags.add(subelem.text)\\n elif tag == \\\"appearance\\\":\\n appearance = subelem.text\\n try:\\n fire = cls(bullet, direction, speed, offset, tags, appearance)\\n except UnboundLocalError as exc:\\n raise ParseError(str(exc))\\n else:\\n doc._fires[element.get(\\\"label\\\")] = fire\\n return fire\",\n \"def startElement(self, name, attrs): # creating the node along the path being tracked\\n name = clean_node_name(name)\\n p_attrs = process_attrs(attrs)\\n\\n if name == \\\"\\\":\\n raise ValueError, \\\"XML Node name cannot be empty\\\"\\n\\n elif name == \\\"requirement\\\":\\n self.obj_depth.append(requirement_q2class(p_attrs))\\n\\n elif name == \\\"prompt\\\":\\n self.obj_depth.append(prompt_q2class(p_attrs))\\n\\n elif name == \\\"house\\\":\\n self.obj_depth.append(house_q2class(p_attrs))\\n\\n elif name == \\\"visible\\\":\\n self.obj_depth.append(visible_q2class(p_attrs))\\n\\n elif name == \\\"computer\\\":\\n self.obj_depth.append(computer_q2class(p_attrs))\\n\\n elif name == \\\"special\\\":\\n self.obj_depth.append(special_q2class(p_attrs))\\n\\n elif name == \\\"title\\\":\\n self.obj_depth.append(title_q2class(p_attrs))\\n\\n elif name == \\\"memories\\\":\\n self.obj_depth.append(memories_q2class(p_attrs))\\n\\n elif name == \\\"tip\\\":\\n self.obj_depth.append(tip_q2class(p_attrs))\\n\\n elif name == \\\"score\\\":\\n self.obj_depth.append(score_q2class(p_attrs))\\n\\n elif name == \\\"exit\\\":\\n self.obj_depth.append(exit_q2class(p_attrs))\\n\\n elif name == \\\"inventory\\\":\\n self.obj_depth.append(inventory_q2class(p_attrs))\\n\\n elif name == \\\"memory\\\":\\n self.obj_depth.append(memory_q2class(p_attrs))\\n\\n elif name == \\\"prereq\\\":\\n self.obj_depth.append(prereq_q2class(p_attrs))\\n\\n elif name == \\\"desc\\\":\\n self.obj_depth.append(desc_q2class(p_attrs))\\n\\n elif name == \\\"room\\\":\\n self.obj_depth.append(room_q2class(p_attrs))\\n\\n elif name == \\\"player\\\":\\n self.obj_depth.append(player_q2class(p_attrs))\\n\\n elif name == \\\"l\\\":\\n self.obj_depth.append(l_q2class(p_attrs))\\n\\n elif name == \\\"o\\\":\\n self.obj_depth.append(o_q2class(p_attrs))\\n\\n elif name == \\\"item\\\":\\n self.obj_depth.append(item_q2class(p_attrs))\\n\\n elif name == \\\"intro\\\":\\n self.obj_depth.append(intro_q2class(p_attrs))\\n\\n elif name == \\\"t\\\":\\n self.obj_depth.append(t_q2class(p_attrs))\\n\\n self.char_buffer = []\\n self.last_processed = \\\"start\\\"\",\n \"def test_sections_json_spider_three_levels(self):\\n\\n title = (\\\"Taking Action for the Social and Emotional Health of \\\"\\n\\t \\\"Young Children: A Report to the Community from the Denver \\\"\\n\\t\\t \\\"Early Childhood Council\\\")\\n\\tsummary = (\\\"Now, Denver has a plan of action to make it easier for \\\"\\n\\t \\\"families to access early childhood mental health \\\"\\n\\t\\t \\\"information, intervention and services.\\\")\\n\\tbyline = \\\"Denver Early Childhood Council\\\"\\n story = create_story(title=title, summary=summary, byline=byline)\\n section1 = create_section(\\\"We're ready to take action. Are you?\\\",\\n\\t\\t\\t story=story, weight=7)\\n\\tsection2 = create_section(\\\"Ricardo's Story\\\",\\n\\t\\t\\t story=story, weight=2)\\n\\tsection3 = create_section(\\\"Meeting the need for better child mental health services\\\",\\n\\t\\t\\t story=story, root=True, weight=1)\\n\\tsection4 = create_section(\\\"Healthy Minds Support Strong Futures\\\",\\n\\t\\t\\t story=story, weight=5) \\n\\tsection5 = create_section(\\\"Community Voices\\\",\\n\\t\\t\\t story=story, weight=3)\\n\\tsection6 = create_section(\\\"Our Vision: That All Children in Denver are Valued, Healthy and Thriving\\\",\\n\\t\\t\\t story=story, weight=4)\\n\\tsection7 = create_section(\\\"Defining a \\\\\\\"Framework for Change\\\\\\\" with Actionable Goals and Strategies\\\",\\n\\t\\t\\t story=story, weight=5) \\n section8 = create_section(\\\"How Can the Plan Make a Difference?\\\",\\n\\t\\t\\t story=story, weight=5)\\n\\tsection9 = create_section(\\\"Impact\\\", story=story, weight=6)\\n SectionRelation.objects.create(parent=section6, child=section8,\\n weight=0)\\n SectionRelation.objects.create(parent=section7, child=section9,\\n weight=0)\\n SectionRelation.objects.create(parent=section6, child=section7,\\n weight=0)\\n SectionRelation.objects.create(parent=section3, child=section1,\\n weight=0)\\n SectionRelation.objects.create(parent=section3, child=section6,\\n weight=0)\\n SectionRelation.objects.create(parent=section3, child=section4,\\n weight=0)\\n SectionRelation.objects.create(parent=section3, child=section5,\\n weight=0)\\n SectionRelation.objects.create(parent=section3, child=section2,\\n weight=0)\\n\\tjson_sections = simplejson.loads(story.structure.sections_json(\\n\\t\\tinclude_summary=False, include_call_to_action=False))\\n\\tself.assertIn(\\n\\t section8.section_id,\\n\\t self._get_section(json_sections, section6.section_id)['children'])\\n\\tself.assertIn(\\n\\t section9.section_id,\\n\\t self._get_section(json_sections, section7.section_id)['children'])\\n\\tself.assertIn(\\n\\t section7.section_id,\\n\\t self._get_section(json_sections, section6.section_id)['children'])\\n\\tself.assertIn(\\n\\t section1.section_id,\\n\\t self._get_section(json_sections, section3.section_id)['children'])\\n\\tself.assertIn(\\n\\t section6.section_id,\\n\\t self._get_section(json_sections, section3.section_id)['children'])\\n\\tself.assertIn(\\n\\t section4.section_id,\\n\\t self._get_section(json_sections, section3.section_id)['children'])\\n\\tself.assertIn(\\n\\t section5.section_id,\\n\\t self._get_section(json_sections, section3.section_id)['children'])\\n\\tself.assertIn(\\n\\t section2.section_id,\\n\\t self._get_section(json_sections, section3.section_id)['children'])\",\n \"def construct(self):\\n self._content.sort(key=lambda x: (x.parent, x.index))\\n i=0\\n j=1\\n while i<len(self._content):\\n while j<len(self._content):\\n if self._content[j].parent == self._content[i].index:\\n self._content[i].children.append(self._content[j])\\n j+=1\\n else:\\n break\\n i+=1\",\n \"def fromtree(self, xml):\\r\\n if hasattr(xml, 'getroot'):\\r\\n xml = xml.getroot()\\r\\n children = xml.getchildren()\\r\\n if xml.tag != 'plist' or len(children) != 1:\\r\\n raise Exception, \\\"Bad property list\\\"\\r\\n return self.__build(children[0])\",\n \"def __init__ (self, element):\\n\\t\\t\\n\\t\\tcells = XmlUtils.getChildElements (element, \\\"TD\\\")\\n\\t\\tself.level = len(cells) - 1;\\n\\t\\tdataCell = cells[-1]\\n\\t\\tcomponents = XmlUtils.getChildElements (dataCell, \\\"A\\\")\\n\\t\\ticon = components[0]\\n\\t\\timg = XmlUtils.getChild (\\\"IMG\\\", icon)\\n\\t\\tfilename = os.path.split (img.getAttribute (\\\"SRC\\\"))[1]\\n\\t\\tself.type = filename.split(\\\".\\\")[0]\\n\\t\\tself.metadatapath = webcatUtils.webcatDomain + icon.getAttribute (\\\"HREF\\\")\\n\\t\\t\\n\\t\\tlinkElement = components[1]\\n\\t\\tself.url = linkElement.getAttribute (\\\"HREF\\\")\\n\\t\\tlabel = XmlUtils.getText (linkElement)\\n\\t\\tself.link = webcatUtils.WebCatLink ((self.url, label))\\n\\t\\tself.title = self.link.label\\n\\t\\tself.parent = None\\n\\t\\tself.children = None\",\n \"def build(self):\\n if not hasattr(self, 'subtitle'):\\n self.subtitle = self.data_code['subtitle']\\n #print('ntimes=%s nelements=%s ntotal=%s subtitle=%s' % (\\n #self.ntimes, self.nelements, self.ntotal, self.subtitle))\\n if self.is_built:\\n return\\n nnodes = 1\\n\\n #self.names = []\\n #self.nelements //= nnodes\\n self.nelements //= self.ntimes\\n self.ntotal = self.nelements * nnodes * 2\\n #self.ntotal\\n self.itime = 0\\n self.ielement = 0\\n self.itotal = 0\\n #print('ntotal=%s ntimes=%s nelements=%s' % (self.ntotal, self.ntimes, self.nelements))\\n\\n #print(\\\"ntimes=%s nelements=%s ntotal=%s\\\" % (self.ntimes, self.nelements, self.ntotal))\\n self._times = np.zeros(self.ntimes, 'float32')\\n #self.ntotal = self.nelements * nnodes\\n\\n self.element_node = np.zeros((self.ntotal, 2), 'int32')\\n\\n # the number is messed up because of the offset for the element's properties\\n if not self.nelements * nnodes * 2 == self.ntotal:\\n msg = 'ntimes=%s nelements=%s nnodes=%s ne*nn=%s ntotal=%s' % (\\n self.ntimes, self.nelements, nnodes, self.nelements * nnodes,\\n self.ntotal)\\n raise RuntimeError(msg)\\n\\n # [angle, sc, sd, se, sf]\\n self.data = np.zeros((self.ntimes, self.ntotal, 5), 'complex64')\",\n \"def load_article_into_newsitem_class(info_about_news_item):\\n article = info_about_news_item.signalmedia_json\\n identifier = article['id']\\n \\n a_news_item = semeval_classes.NewsItem(\\n identifier = identifier,\\n collection = 'SignalMedia',\\n dct = article['published'],\\n publisher = article['source'])\\n \\n for provenance, naf in info_about_news_item.preprocessing:\\n iden2wf_el = {int(wf_el.get('id')[1:]): wf_el\\n for wf_el in naf.iterfind('text/wf')}\\n\\n tid2lemma = {int(term_el.get('id')[1:]): term_el.get('lemma')\\n for term_el in naf.iterfind('terms/term')}\\n basename = ''\\n if provenance == 'newsreader':\\n basename = naf.find('nafHeader/fileDesc').get('filename')\\n\\n # add entity mentions\\n for entity_el in naf.iterfind('entities/entity'):\\n entity_mention_obj = create_entity_mention_obj(entity_el, provenance,\\n iden2wf_el,\\n debug=False)\\n a_news_item.entity_mentions.add(entity_mention_obj)\\n\\n # add event mentions\\n for predicate_el in naf.iterfind('srl/predicate'):\\n an_event_mention_obj = create_event_mention_obj(predicate_el,\\n provenance,\\n iden2wf_el,\\n tid2lemma,\\n basename,\\n debug=False)\\n a_news_item.event_mentions.add(an_event_mention_obj)\\n\\n # add domain labels\\n xpath_query = 'topics/topic[@method=\\\"JEX\\\"]'\\n jex_domain_labels = {topic_el.text\\n for topic_el in naf.iterfind(xpath_query)}\\n a_news_item.domain = jex_domain_labels\\n\\n return a_news_item\",\n \"def __init__(self, puzzle=None, children=None, parent=None):\\n self.puzzle, self.parent = puzzle, parent\\n if children is None:\\n self.children = []\\n else:\\n self.children = children[:]\",\n \"def __init__(self, etree, etree_elt):\\n self._etree = etree\\n self._elt = etree_elt\",\n \"def _compileArticle(self, fullPath, wiki):\\n path = fullPath.replace(self.path, '')\\n templateName = path.split('/')[1]\\n articleName = path.split('/')[-2]\\n url = self.path + path.replace('.txt', '.html').lower()\\n article = ADict(dict(name=articleName, category=templateName, path=path, fullPath=fullPath,\\n url=TX.name2UrlName(articleName)))\\n text = []\\n # Filter the field definitions\\n wiki = wiki.replace('\\\\r', '\\\\n')\\n for fieldName in self.FIELDNAMES:\\n article[fieldName] = None\\n for line in wiki.split('\\\\n'):\\n if line.startswith('$'):\\n fieldName, value = self._splitFieldValue(line)\\n hook = 'setField_' + fieldName\\n if not fieldName in self.FIELDNAMES:\\n message = 'Illegal article parameter \\\"%s\\\" in article \\\"%s\\\".' % (fieldName, path)\\n self.editArticle(path, message)\\n elif hasattr(self, hook):\\n getattr(self, hook)(value, article)\\n else:\\n article[fieldName] = value\\n else:\\n text.append(line) # Keep normal text lines.\\n\\n # Check is all required fields are filled. Otherwise open the article file in the editor.\\n for requiredField in self.REQUIREDFIELDS:\\n if article[requiredField] is None:\\n message = 'Missing required parameter \\\"%s\\\" in article \\\"%s\\\".' % (requiredField, path)\\n self.editArticle(article.path, message)\\n\\n # Split the chapters, in the text indicated by =C=\\n article.chapters = []\\n for chapter in ('\\\\n'.join(text)).split(self.CHAPTER_TAG):\\n article.chapters.append(textile.textile(chapter))\\n return article\",\n \"def __init__(self, document_path):\\n self.tree = etree.parse(document_path)\\n self.doc_id = get_doc_id(self.tree)\\n for element_type in ('nodes', 'edges', 'layers'):\\n self._extract_elements(self.tree, element_type)\",\n \"def test_sections_json_spider_three_levels_with_summary_and_call(self):\\n title = (\\\"Taking Action for the Social and Emotional Health of \\\"\\n\\t \\\"Young Children: A Report to the Community from the Denver \\\"\\n\\t\\t \\\"Early Childhood Council\\\")\\n\\tsummary = (\\\"Now, Denver has a plan of action to make it easier for \\\"\\n\\t \\\"families to access early childhood mental health \\\"\\n\\t\\t \\\"information, intervention and services.\\\")\\n\\tcall_to_action = (\\\"Test call to action.\\\")\\n\\tbyline = \\\"Denver Early Childhood Council\\\"\\n story = create_story(title=title, summary=summary, byline=byline,\\n\\t\\t\\t call_to_action=call_to_action)\\n section1 = create_section(\\\"We're ready to take action. Are you?\\\",\\n\\t\\t\\t story=story, weight=7)\\n\\tsection2 = create_section(\\\"Ricardo's Story\\\",\\n\\t\\t\\t story=story, weight=2)\\n\\tsection3 = create_section(\\\"Meeting the need for better child mental health services\\\",\\n\\t\\t\\t story=story, root=True, weight=1)\\n\\tsection4 = create_section(\\\"Healthy Minds Support Strong Futures\\\",\\n\\t\\t\\t story=story, weight=5) \\n\\tsection5 = create_section(\\\"Community Voices\\\",\\n\\t\\t\\t story=story, weight=3)\\n\\tsection6 = create_section(\\\"Our Vision: That All Children in Denver are Valued, Healthy and Thriving\\\",\\n\\t\\t\\t story=story, weight=4)\\n\\tsection7 = create_section(\\\"Defining a \\\\\\\"Framework for Change\\\\\\\" with Actionable Goals and Strategies\\\",\\n\\t\\t\\t story=story, weight=5) \\n section8 = create_section(\\\"How Can the Plan Make a Difference?\\\",\\n\\t\\t\\t story=story, weight=5)\\n\\tsection9 = create_section(\\\"Impact\\\", story=story, weight=6)\\n SectionRelation.objects.create(parent=section6, child=section8,\\n weight=0)\\n SectionRelation.objects.create(parent=section7, child=section9,\\n weight=0)\\n SectionRelation.objects.create(parent=section6, child=section7,\\n weight=0)\\n SectionRelation.objects.create(parent=section3, child=section1,\\n weight=0)\\n SectionRelation.objects.create(parent=section3, child=section6,\\n weight=0)\\n SectionRelation.objects.create(parent=section3, child=section4,\\n weight=0)\\n SectionRelation.objects.create(parent=section3, child=section5,\\n weight=0)\\n SectionRelation.objects.create(parent=section3, child=section2,\\n weight=0)\\n\\tjson_sections = simplejson.loads(story.structure.sections_json(\\n\\t\\tinclude_summary=True, include_call_to_action=True))\\n\\tself.assertIn(\\n\\t section8.section_id,\\n\\t self._get_section(json_sections, section6.section_id)['children'])\\n\\tself.assertIn(\\n\\t section9.section_id,\\n\\t self._get_section(json_sections, section7.section_id)['children'])\\n\\tself.assertIn(\\n\\t section7.section_id,\\n\\t self._get_section(json_sections, section6.section_id)['children'])\\n\\tself.assertIn(\\n\\t section1.section_id,\\n\\t self._get_section(json_sections, section3.section_id)['children'])\\n\\tself.assertIn(\\n\\t section6.section_id,\\n\\t self._get_section(json_sections, section3.section_id)['children'])\\n\\tself.assertIn(\\n\\t section4.section_id,\\n\\t self._get_section(json_sections, section3.section_id)['children'])\\n\\tself.assertIn(\\n\\t section5.section_id,\\n\\t self._get_section(json_sections, section3.section_id)['children'])\\n\\tself.assertIn(\\n\\t section2.section_id,\\n\\t self._get_section(json_sections, section3.section_id)['children'])\\n\\tself.assertEqual(json_sections[0]['section_id'], 'summary')\\n\\tself.assertEqual(json_sections[0]['next_section_id'], \\n\\t\\t\\t json_sections[1]['section_id'])\\n\\tself.assertEqual(json_sections[1]['previous_section_id'], 'summary')\\n\\tself.assertEqual(json_sections[-1]['section_id'], 'call-to-action')\\n\\tself.assertEqual(json_sections[-1]['previous_section_id'], \\n\\t\\t\\t json_sections[-2]['section_id'])\\n\\tself.assertEqual(json_sections[-2]['next_section_id'], 'call-to-action')\",\n \"def _addEntity(self, pid, chunks):\\n parent = chunks[pid]\\n sub = None\\n # Find subject\\n for i in range(len(parent.children)):\\n child = chunks[parent.children[i]]\\n if child.func in SubDict:\\n sub = child\\n if child.func == \\\"では\\\":\\n if child.negative != 0 or any([val.negative != 0 for key, val in self.G.successors(child.main)]):\\n pass\\n else:\\n sub = None\\n if sub:\\n self._addNode(parent, sub=sub.main)\\n self._addEdge(sub.main, parent.main, label=\\\"陳述\\\", etype=\\\"stat\\\")\\n else:\\n self._addNode(parent)\\n \\n # Lopp through all children\\n for i in range(len(parent.children)):\\n child = chunks[parent.children[i]]\\n # If child is noun\\n if child.func in SubDict:\\n if child.func == \\\"では\\\":\\n if child.negative != 0 or any([val.negative != 0 for key, val in self.G.successors(child.main)]):\\n pass\\n else:\\n self._addNode(child)\\n self._addEdge(child.main, parent.main, label=child.func, etype=\\\"attr\\\")\\n elif child.type == 0 and child.func in [\\\"と\\\", \\\"などと\\\"] and child.id + 1 == parent.id and preprocessText(chunks[parent.parent].main) not in [\\\"交代\\\", \\\"交換\\\"]:\\n self._addNode(child)\\n self._addEdge(child.main, parent.main, label=\\\"並列\\\", etype=\\\"para\\\")\\n self._addEdge(parent.main, child.main, label=\\\"並列\\\", etype=\\\"para\\\")\\n self.para.append([child.main, parent.main])\\n elif child.type == 0 and child.func in ParallelDict and child.id + 1 == parent.id:\\n self._addNode(child)\\n self._addEdge(child.main, parent.main, label=\\\"並列\\\", etype=\\\"para\\\")\\n self._addEdge(parent.main, child.main, label=\\\"並列\\\", etype=\\\"para\\\")\\n self.para.append([child.main, parent.main])\\n else:\\n self._addNode(child)\\n self._addEdge(child.main, parent.main, label=child.func, etype=\\\"attr\\\")\",\n \"def __init__(self, document_path):\\n super(SaltXMIGraph, self).__init__()\\n self.tree = etree.parse(document_path)\\n self.doc_id = get_doc_id(self.tree)\\n for i, node_element in enumerate(get_elements(self.tree, 'nodes')):\\n node = create_class_instance(node_element, i, self.doc_id)\\n self.add_node(i, node.__dict__)\\n for i, edge_element in enumerate(get_elements(self.tree, 'edges')):\\n edge = create_class_instance(edge_element, i, self.doc_id)\\n self.add_edge(edge.source, edge.target, edge.__dict__)\",\n \"def __init__(self):\\n self.dtrs = []\\n self.chunkIndex = 0\\n self.eventList = [] \\n self.position = None\\n self.positionCount = 0\\n self.parent = None\\n self.embeddedTags = []\",\n \"def __init__(self, title, parent=None, level=1, proc='P0'):\\n # A section can have subsections this relation is represented by the\\n # reference to the link\\n self.parent = parent\\n # how deepness of the section\\n self.level = level\\n self.title = title\\n self.content = [] # No subsections in here\\n self.subsections = []\\n self.proc = proc\",\n \"def _get_story(self, article):\\n # Get similar Articles by tag, sorted by most similar descending.\\n similar = article.tags.similar_objects()\\n similar = list(filter(\\n lambda item: self._filter_similar_articles(\\n article=item, compare=article\\n ),\\n similar\\n ))\\n if similar:\\n return similar[0].story\\n\\n # If no similar articles were found, create a new story.\\n return Story.objects.create()\",\n \"def rebuild (self, event = None, displayAfter = False): \\r\\n try:\\r\\n # Remember current working dir and set to savefile's dir. InterTwine StoryIncludes are relative to the Twine file.\\r\\n cwd = os.getcwd()\\r\\n if self.saveDestination == '':\\r\\n twinedocdir = cwd\\r\\n else:\\r\\n twinedocdir = os.path.dirname(self.saveDestination)\\r\\n os.chdir(twinedocdir)\\r\\n \\r\\n # assemble our tiddlywiki and write it out\\r\\n hasstartpassage = False\\r\\n tw = TiddlyWiki()\\r\\n for widget in self.storyPanel.widgets:\\r\\n # if widget.passage.title != 'StoryIncludes' and \\\\\\r\\n # not any('Twine.private' in t for t in widget.passage.tags) and \\\\\\r\\n # not any('Twine.system' in t for t in widget.passage.tags):\\r\\n if widget.passage.title != 'StoryIncludes' and \\\\\\r\\n not any(t.startswith('Twine.') for t in widget.passage.tags):\\r\\n tw.addTiddler(widget.passage)\\r\\n if widget.passage.title == \\\"Start\\\":\\r\\n hasstartpassage = True\\r\\n\\r\\n # is there a Start passage?\\r\\n if hasstartpassage == False:\\r\\n self.app.displayError('building your story because there is no \\\"Start\\\" passage. ' + \\\"\\\\n\\\" \\r\\n + 'Your story will build but the web-browser will not be able to run the story. ' + \\\"\\\\n\\\"\\r\\n + 'Please add a passage with the title \\\"Start\\\"')\\r\\n\\r\\n for widget in self.storyPanel.widgets:\\r\\n if widget.passage.title == 'StoryIncludes':\\r\\n lines = widget.passage.text.splitlines()\\r\\n lines.append('');\\r\\n # State 0: Look for a filename\\r\\n ## State 1: have filename, look for filename, EXCEPT, INCLUDE, ALIAS\\r\\n ## State 2: EXCEPT mode, look for INCLUDE 3, ALIAS 4 or blank line 0\\r\\n ## State 3: INCLUDE mode, look for EXCEPT 2, ALIAS 4 or blank line 0\\r\\n ## State 4: ALIAS mode, look for EXCEPT 2, INCLUDE 2 or blank line 0\\r\\n state = 0;\\r\\n state_filename = '';\\r\\n excludepassages = [ 'Start', 'StoryMenu', 'StoryTitle', 'StoryAuthor', 'StorySubtitle', 'StoryIncludes', 'StorySettings' ]\\r\\n for line in lines:\\r\\n if state == 0:\\r\\n state_filename = line\\r\\n state = 1\\r\\n continue\\r\\n elif state == 1:\\r\\n try:\\r\\n if state_filename.strip() != '':\\r\\n extension = os.path.splitext(state_filename)[1] \\r\\n if extension == '.tws':\\r\\n if any(state_filename.startswith(t) for t in ['http://', 'https://', 'ftp://']):\\r\\n openedFile = urllib.urlopen(state_filename)\\r\\n else:\\r\\n openedFile = open(state_filename, 'r')\\r\\n s = StoryFrame(None, app = self.app, state = pickle.load(openedFile))\\r\\n openedFile.close()\\r\\n for widget in s.storyPanel.widgets:\\r\\n if not any(widget.passage.title in t for t in excludepassages) and \\\\\\r\\n not any('Twine.private' in t for t in widget.passage.tags) and \\\\\\r\\n not any('Twine.system' in t for t in widget.passage.tags):\\r\\n tw.addTiddler(widget.passage)\\r\\n s.Destroy()\\r\\n elif extension == '.tw' or extension == '.txt' or extension == '.twee':\\r\\n if any(state_filename.startswith(t) for t in ['http://', 'https://', 'ftp://']):\\r\\n openedFile = urllib.urlopen(state_filename)\\r\\n s = openedFile.read()\\r\\n openedFile.close()\\r\\n t = tempfile.NamedTemporaryFile(delete=False)\\r\\n cleanuptempfile = True\\r\\n t.write(s)\\r\\n t.close()\\r\\n filename = t.name\\r\\n else:\\r\\n filename = state_filename\\r\\n cleanuptempfile = False\\r\\n \\r\\n tw1 = TiddlyWiki()\\r\\n tw1.addTweeFromFilename(filename)\\r\\n if cleanuptempfile: os.remove(filename)\\r\\n tiddlerkeys = tw1.tiddlers.keys()\\r\\n for tiddlerkey in tiddlerkeys:\\r\\n passage = tw1.tiddlers[tiddlerkey]\\r\\n if not any(passage.title == t for t in excludepassages) and \\\\\\r\\n not any('Twine.private' in t for t in passage.tags) and \\\\\\r\\n not any('Twine.system' in t for t in passage.tags):\\r\\n tw.addTiddler(passage)\\r\\n else:\\r\\n raise 'File format not recognized'\\r\\n except:\\r\\n self.app.displayError('opening the Twine file named ' + state_filename + ' which is referred to by the passage StoryIncludes')\\r\\n state_filename = line\\r\\n state = 1\\r\\n continue\\r\\n break\\r\\n \\r\\n # Decode story settings\\r\\n for widget in self.storyPanel.widgets:\\r\\n if widget.passage.title == 'StorySettings':\\r\\n lines = widget.passage.text.splitlines()\\r\\n for line in lines:\\r\\n (skey,svalue) = line.split(':')\\r\\n tw.storysettings[skey.strip()] = svalue.strip()\\r\\n break\\r\\n \\r\\n # Write the output file\\r\\n os.chdir(os.path.dirname(self.buildDestination))\\r\\n dest = open(self.buildDestination, 'w')\\r\\n dest.write(tw.toHtml(self.app, self.target).encode('utf-8'))\\r\\n dest.close()\\r\\n os.chdir(cwd)\\r\\n if displayAfter: self.viewBuild()\\r\\n except:\\r\\n self.app.displayError('building your story')\",\n \"def __init__(self, reference, title, depth = 0, parent = None):\\n\\n SitemapTreeElement.__init__(self, depth, parent)\\n\\n # Check a type of 'reference' parametr\\n if not isinstance(reference, basestring):\\n raise TypeError('string type expected')\\n self._reference = reference\\n\\n # Check a type of 'title' parametr\\n if not isinstance(title, basestring):\\n raise TypeError('string type expected')\\n self._title = title\",\n \"def __init__(self, template_content, section_type):\\n self.helpers = Documentation()\\n self.template_content = template_content\\n self.section_type = section_type\\n self.stype = self.section_type\\n self.children = []\",\n \"def test_from_xml_method_is_working_properly(self):\\n from xml.etree import ElementTree\\n video_node = ElementTree.Element('video')\\n format_node = ElementTree.SubElement(video_node, 'format')\\n sc_node = ElementTree.SubElement(format_node, 'samplecharacteristics')\\n width_node = ElementTree.SubElement(sc_node, 'width')\\n width_node.text = 1024\\n height_node = ElementTree.SubElement(sc_node, 'height')\\n height_node.text = 778\\n\\n track_node = ElementTree.SubElement(video_node, 'track')\\n locked_node = ElementTree.SubElement(track_node, 'locked')\\n locked_node.text = 'FALSE'\\n enabled_node = ElementTree.SubElement(track_node, 'enabled')\\n enabled_node.text = 'TRUE'\\n\\n # clip1\\n clip_node = ElementTree.SubElement(track_node, 'clipitem',\\n attrib={'id': 'shot2'})\\n end_node = ElementTree.SubElement(clip_node, 'end')\\n end_node.text = '35'\\n name_node = ElementTree.SubElement(clip_node, 'name')\\n name_node.text = 'shot2'\\n enabled_node = ElementTree.SubElement(clip_node, 'enabled')\\n enabled_node.text = 'True'\\n start_node = ElementTree.SubElement(clip_node, 'start')\\n start_node.text = '1'\\n in_node = ElementTree.SubElement(clip_node, 'in')\\n in_node.text = '0'\\n duration_node = ElementTree.SubElement(clip_node, 'duration')\\n duration_node.text = '34'\\n out_node = ElementTree.SubElement(clip_node, 'out')\\n out_node.text = '34'\\n\\n file_node = ElementTree.SubElement(clip_node, 'file')\\n duration_node = ElementTree.SubElement(file_node, 'duration')\\n duration_node.text = '34'\\n name_node = ElementTree.SubElement(file_node, 'name')\\n name_node.text = 'shot2'\\n pathurl_node = ElementTree.SubElement(file_node, 'pathurl')\\n\\n pathurl = 'file://localhost/home/eoyilmaz/maya/projects/default/data/shot2.mov'\\n pathurl_node.text = pathurl\\n\\n # clip2\\n clip_node = ElementTree.SubElement(track_node, 'clipitem',\\n attrib={'id': 'shot'})\\n end_node = ElementTree.SubElement(clip_node, 'end')\\n end_node.text = '65'\\n name_node = ElementTree.SubElement(clip_node, 'name')\\n name_node.text = 'shot'\\n enabled_node = ElementTree.SubElement(clip_node, 'enabled')\\n enabled_node.text = 'True'\\n start_node = ElementTree.SubElement(clip_node, 'start')\\n start_node.text = '35'\\n in_node = ElementTree.SubElement(clip_node, 'in')\\n in_node.text = '0'\\n duration_node = ElementTree.SubElement(clip_node, 'duration')\\n duration_node.text = '30'\\n out_node = ElementTree.SubElement(clip_node, 'out')\\n out_node.text = '30'\\n\\n file_node = ElementTree.SubElement(clip_node, 'file')\\n duration_node = ElementTree.SubElement(file_node, 'duration')\\n duration_node.text = '30'\\n name_node = ElementTree.SubElement(file_node, 'name')\\n name_node.text = 'shot'\\n pathurl_node = ElementTree.SubElement(file_node, 'pathurl')\\n\\n pathurl = 'file://localhost/home/eoyilmaz/maya/projects/default/data/shot.mov'\\n pathurl_node.text = pathurl\\n\\n # clip3\\n clip_node = ElementTree.SubElement(track_node, 'clipitem',\\n attrib={'id': 'shot1'})\\n end_node = ElementTree.SubElement(clip_node, 'end')\\n end_node.text = '110'\\n name_node = ElementTree.SubElement(clip_node, 'name')\\n name_node.text = 'shot1'\\n enabled_node = ElementTree.SubElement(clip_node, 'enabled')\\n enabled_node.text = 'True'\\n start_node = ElementTree.SubElement(clip_node, 'start')\\n start_node.text = '65'\\n in_node = ElementTree.SubElement(clip_node, 'in')\\n in_node.text = '0'\\n duration_node = ElementTree.SubElement(clip_node, 'duration')\\n duration_node.text = '45'\\n out_node = ElementTree.SubElement(clip_node, 'out')\\n out_node.text = '45'\\n\\n file_node = ElementTree.SubElement(clip_node, 'file')\\n duration_node = ElementTree.SubElement(file_node, 'duration')\\n duration_node.text = '45'\\n name_node = ElementTree.SubElement(file_node, 'name')\\n name_node.text = 'shot1'\\n pathurl_node = ElementTree.SubElement(file_node, 'pathurl')\\n\\n pathurl = 'file://localhost/home/eoyilmaz/maya/projects/default/data/shot1.mov'\\n pathurl_node.text = pathurl\\n\\n v = Video()\\n v.from_xml(video_node)\\n self.assertEqual(1024, v.width)\\n self.assertEqual(778, v.height)\\n\\n t = v.tracks[0]\\n self.assertEqual(False, t.locked)\\n self.assertEqual(True, t.enabled)\\n\\n # clip1\\n c = t.clips[0]\\n self.assertEqual(35, c.end)\\n self.assertEqual('shot2', c.name)\\n self.assertEqual(True, c.enabled)\\n self.assertEqual(1, c.start)\\n self.assertEqual(0, c.in_)\\n self.assertEqual(34, c.duration)\\n self.assertEqual(34, c.out)\\n\\n f = c.file\\n self.assertEqual(34, f.duration)\\n self.assertEqual('shot2', f.name)\\n self.assertEqual(\\n 'file://localhost/home/eoyilmaz/maya/projects/default/data/shot2.mov',\\n f.pathurl\\n )\\n\\n # clip2\\n c = t.clips[1]\\n self.assertEqual(65, c.end)\\n self.assertEqual('shot', c.name)\\n self.assertEqual(True, c.enabled)\\n self.assertEqual(35, c.start)\\n self.assertEqual(0, c.in_)\\n self.assertEqual(30, c.duration)\\n self.assertEqual(30, c.out)\\n\\n f = c.file\\n self.assertEqual(30, f.duration)\\n self.assertEqual('shot', f.name)\\n self.assertEqual(\\n 'file://localhost/home/eoyilmaz/maya/projects/default/data/shot.mov',\\n f.pathurl\\n )\\n\\n # clip3\\n c = t.clips[2]\\n self.assertEqual(110, c.end)\\n self.assertEqual('shot1', c.name)\\n self.assertEqual(True, c.enabled)\\n self.assertEqual(65, c.start)\\n self.assertEqual(0, c.in_)\\n self.assertEqual(45, c.duration)\\n self.assertEqual(45, c.out)\\n\\n f = c.file\\n self.assertEqual(45, f.duration)\\n self.assertEqual('shot1', f.name)\\n self.assertEqual(\\n 'file://localhost/home/eoyilmaz/maya/projects/default/data/shot1.mov',\\n f.pathurl\\n )\",\n \"def __init__(self, item):\\n self._element = item\\n self._leftchild = None\\n self._rightchild = None\\n self._parent = None\\n self._height = 0\",\n \"def AddNewStory(self, story):\\n story_xml = story.ToXml()\\n res = self._Api('stories', 'POST', story_xml)\\n toAddStory = story\\n story = Story.FromXml(res)\\n\\n if len(toAddStory.GetTasks()) < 1:\\n return story\\n\\n for task in toAddStory.GetTasks():\\n path = 'stories/%d' % story.GetStoryId()\\n path += task.GetSubPath()\\n res = self._Api(path, task.GetMethod(), task.ToXml())\\n\\n return self.GetStory(story.GetStoryId())\",\n \"def setNode(self,node):\\n Sentence.__init__(self,**node.attrib)\\n\\n tmpSts = node.find(\\\"subtokens\\\")\\n tmpDep = node.find(\\\"depannotation\\\")\\n tmpRel = node.find(\\\"relannotation\\\")\\n \\n # generate subtokens\\n for a in tmpSts.findall(\\\"subtoken\\\"):\\n n = Subtoken(**a.attrib)\\n self.subtokens[n.id] = n\\n \\n # generate depTokens\\n for a in tmpDep.findall(\\\"deptoken\\\"):\\n n = DepToken(**a.attrib)\\n for b in a.findall(\\\"nestedsubtoken\\\"):\\n special = (b.attrib['special'] == 'True')\\n n.addSubtoken( self.subtokens[b.attrib['subtoken']],special )\\n self.deptokens[n.id] = n\\n\\n # generate relTokens\\n for a in tmpRel.findall(\\\"reltoken\\\"):\\n n = RelToken(**a.attrib)\\n for b in a.findall(\\\"nestedsubtoken\\\"):\\n special = (b.attrib['special'] == 'True')\\n n.addSubtoken( self.subtokens[b.attrib['subtoken']],special )\\n self.reltokens[n.id] = n\\n \\n # generate depEntities\\n for a in tmpDep.findall(\\\"depentity\\\"):\\n n = DepEntity(**a.attrib)\\n n.token = self.deptokens[n.token]\\n self.depentities[n.id] = n\\n\\n # generate relEntities\\n for a in tmpRel.findall(\\\"relentity\\\"):\\n n = RelEntity(**a.attrib)\\n n.token = self.reltokens[n.token]\\n self.relentities[n.id] = n\\n \\n # generate depNodes into graph\\n depNodes = {}\\n for a in tmpDep.findall(\\\"depnode\\\"):\\n n = DepNode(**a.attrib)\\n n.entity = self.depentities[n.entity]\\n self.dependencies.add_node(n)\\n depNodes[n.id] = n\\n # generate depEdges into graph\\n for a in tmpDep.findall(\\\"depedge\\\"):\\n n = DepEdge(**a.attrib)\\n n.bgn = depNodes[n.bgn]\\n n.end = depNodes[n.end]\\n self.dependencies.add_edge(depNodes[a.attrib['bgn']],\\n depNodes[a.attrib['end']],\\n n)\\n\\n # generate relNodes into graph\\n relNodes = {}\\n for a in tmpRel.findall(\\\"relnode\\\"):\\n n = RelNode(**a.attrib)\\n n.entity = self.relentities[n.entity]\\n self.interactions.add_node(n)\\n relNodes[n.id] = n\\n # generate relEdges into graph\\n for a in tmpRel.findall(\\\"reledge\\\"):\\n n = RelEdge(**a.attrib)\\n n.bgn = relNodes[n.bgn]\\n n.end = relNodes[n.end]\\n self.interactions.add_edge(relNodes[a.attrib['bgn']],\\n relNodes[a.attrib['end']],\\n n)\",\n \"def parse_pubmed_web_tree(tree):\\r\\n\\r\\n if tree.xpath('//articletitle') is not None:\\r\\n title = ' '.join([title.text for title in tree.xpath('//articletitle')])\\r\\n else:\\r\\n title = ''\\r\\n\\r\\n abstract_tree = tree.xpath('//abstract/abstracttext')\\r\\n abstract = ' '.join([stringify_children(a).strip() for a in abstract_tree])\\r\\n\\r\\n\\r\\n con=tokenize.sent_tokenize(abstract)\\r\\n conclusion =''.join(con[len(con)-1])\\r\\n\\r\\n if tree.xpath('//article//title') is not None:\\r\\n journal = ';'.join([t.text.strip() for t in tree.xpath('//article//title')])\\r\\n else:\\r\\n journal = ''\\r\\n\\r\\n pubdate = tree.xpath('//pubmeddata//history//pubmedpubdate[@pubstatus=\\\"medline\\\"]')\\r\\n if len(pubdate) >= 1 and pubdate[0].find('year') is not None:\\r\\n year = pubdate[0].find('year').text\\r\\n else:\\r\\n year = ''\\r\\n\\r\\n affiliations = list()\\r\\n if tree.xpath('//affiliationinfo/affiliation') is not None:\\r\\n for affil in tree.xpath('//affiliationinfo/affiliation'):\\r\\n affiliations.append(affil.text)\\r\\n affiliations_text = '; '.join(affiliations)\\r\\n else:\\r\\n affiliations_text= '' \\r\\n\\r\\n keywords = list()\\r\\n if tree.xpath('//keywordlist/keyword')is not None:\\r\\n for keyword in tree.xpath('//keywordlist/keyword'):\\r\\n keywords.append(keyword.text)\\r\\n keywords_text = '; '.join(keywords)\\r\\n else:\\r\\n keywords_text= '' \\r\\n \\r\\n \\r\\n authors_tree = tree.xpath('//authorlist/author')\\r\\n authors = list()\\r\\n if authors_tree is not None:\\r\\n for a in authors_tree:\\r\\n firstname = a.find('forename').text if a.find('forename') is not None else ''\\r\\n lastname = a.find('lastname').text if a.find('forename') is not None else ''\\r\\n fullname = (firstname + ' ' + lastname).strip()\\r\\n if fullname == '':\\r\\n fullname = a.find('collectivename').text if a.find('collectivename') is not None else ''\\r\\n authors.append(fullname)\\r\\n authors_text = '; '.join(authors)\\r\\n else:\\r\\n authors_text = ''\\r\\n \\r\\n if tree.xpath('//abstract/copyrightinformation') is not None:\\r\\n copyright_text = ';'.join([c.text.strip() for c in tree.xpath('//abstract/copyrightinformation')])\\r\\n else:\\r\\n copyright_text = '' \\r\\n \\r\\n if tree.xpath('//articleidlist/articleid[@idtype=\\\"pubmed\\\"]') is not None:\\r\\n pmid = ';'.join([p.text.strip() for p in tree.xpath('//articleidlist/articleid[@idtype=\\\"pubmed\\\"]')])\\r\\n else:\\r\\n pmid = ''\\r\\n\\r\\n if tree.xpath('//articleidlist/articleid[@idtype=\\\"doi\\\"]') is not None:\\r\\n doi = ';'.join([p.text.strip() for p in tree.xpath('//articleidlist/articleid[@idtype=\\\"doi\\\"]')])\\r\\n else:\\r\\n doi = ''\\r\\n \\r\\n n_citations=get_links_id(pmid)\\r\\n\\r\\n# title,abstract,journal,affiliation,authors,year,keywords,conclusion,copyright,pmid,doi,citationindex\\r\\n dict_out = {'title': title,\\r\\n 'abstract': abstract,\\r\\n 'journal': journal,\\r\\n 'affiliation': affiliations_text,\\r\\n 'authors': authors_text,\\r\\n 'year': year,\\r\\n 'keywords': keywords_text,\\r\\n 'conclusion':conclusion,\\r\\n 'copyright':copyright_text,\\r\\n 'pmid':pmid,\\r\\n 'doi':doi,\\r\\n 'citation_index':n_citations}\\r\\n return dict_out\",\n \"def prepare_content_tree(self):\\n for node_id in self.child_nodes:\\n node = in_scope(node_id)\\n\\n if isinstance(node, CaptionNode):\\n self.caption = node.argument\\n\\n if isinstance(node, LabelNode):\\n self.setup_label(node)\\n\\n # node.prepare_content_tree()\\n\\n out_scope(node)\",\n \"def __init__(self, depth = 0, parent = None):\\n \\n # Check a type of 'depth' parametr\\n if not isinstance(depth, (int, long)):\\n raise TypeError('int or long type expected')\\n self._depth = depth\\n\\n # Check a type of 'parent' parametr\\n if parent and not isinstance(parent, SitemapTreeElement):\\n raise TypeError('SitemapTreeElement type expected')\\n self._parent = parent\\n\\n # self._children contains a list of sitemap element children.\\n # Initialize it with an empty list.\\n self._children = []\",\n \"def build(self, text):\\n self._xml4nlp = Element('xml4nlp')\\n self._note = SubElement(self._xml4nlp, 'note')\\n self._doc = SubElement(self._xml4nlp, 'doc')\\n\\n para = SubElement(self._doc, 'para')\\n para.set(\\\"id\\\", \\\"0\\\")\\n para.text = text\\n\\n self._clean_note()\\n self.dom = self._xml4nlp\",\n \"def _parse(self):\\n tree = etree.parse(self.filename)\\n root_node = tree.getroot()\\n\\n text_node = root_node.find(\\\"TEXT\\\")\\n\\n # Get text\\n self.text = self._extract_text(text_node)\\n\\n # Get and create Event objects\\n self.events = self._get_and_create_event_objects(text_node, root_node)\\n\\n # Get and create Timex objects\\n self.timex = self._get_and_create_timex_objects(text_node, root_node)\\n\\n # Create Relation objects and link them\\n self.relations = self._get_and_create_relation_objects(root_node)\\n\\n # Build text structure. Must be called last.\\n self.text_structure = self._get_and_build_text_structure()\",\n \"def get_init(self, storyboard):\\n init = etree.SubElement(storyboard, \\\"Init\\\")\\n init_act = etree.SubElement(init, \\\"Actions\\\")\\n self.get_environment_actions(init_act)\\n\\n # Ego Vehicle\\n if QgsProject.instance().mapLayersByName(\\\"Vehicles - Ego\\\"):\\n vehicle_ego_layer = QgsProject.instance().mapLayersByName(\\\"Vehicles - Ego\\\")[0]\\n for feature in vehicle_ego_layer.getFeatures():\\n veh_id = \\\"Ego_\\\" + str(feature[\\\"id\\\"])\\n orientation = feature[\\\"Orientation\\\"]\\n pos_x = feature[\\\"Pos X\\\"]\\n pos_y = feature[\\\"Pos Y\\\"]\\n pos_z = feature[\\\"Pos Z\\\"]\\n init_speed = feature[\\\"Init Speed\\\"]\\n agent = feature[\\\"Agent\\\"]\\n agent_camera = str(feature[\\\"Agent Camera\\\"]).lower()\\n\\n if agent == \\\"User Defined\\\":\\n agent = feature[\\\"Agent User Defined\\\"]\\n\\n entity = etree.SubElement(init_act, \\\"Private\\\")\\n entity.set(\\\"entityRef\\\", str(veh_id))\\n self.entity_teleport_action(entity, orientation, pos_x, pos_y, pos_z)\\n self.vehicle_controller(entity, str(feature[\\\"id\\\"]), agent, agent_camera, is_ego=True)\\n if init_speed != 0:\\n self.set_init_speed(entity, init_speed)\\n\\n # Vehicle\\n if QgsProject.instance().mapLayersByName(\\\"Vehicles\\\"):\\n vehicle_layer = QgsProject.instance().mapLayersByName(\\\"Vehicles\\\")[0]\\n for feature in vehicle_layer.getFeatures():\\n veh_id = \\\"Vehicle_\\\" + str(feature[\\\"id\\\"])\\n orientation = feature[\\\"Orientation\\\"]\\n pos_x = feature[\\\"Pos X\\\"]\\n pos_y = feature[\\\"Pos Y\\\"]\\n pos_z = feature[\\\"Pos Z\\\"]\\n init_speed = feature[\\\"Init Speed\\\"]\\n agent = feature[\\\"Agent\\\"]\\n agent_camera = str(feature[\\\"Agent Camera\\\"]).lower()\\n\\n if agent == \\\"User Defined\\\":\\n agent = feature[\\\"Agent User Defined\\\"]\\n\\n entity = etree.SubElement(init_act, \\\"Private\\\")\\n entity.set(\\\"entityRef\\\", str(veh_id))\\n self.entity_teleport_action(entity, orientation, pos_x, pos_y, pos_z)\\n self.vehicle_controller(entity, str(feature[\\\"id\\\"]), agent, agent_camera, is_ego=False)\\n if init_speed != 0:\\n self.set_init_speed(entity, init_speed)\\n\\n # Pedestrian\\n if QgsProject.instance().mapLayersByName(\\\"Pedestrians\\\"):\\n walker_layer = QgsProject.instance().mapLayersByName(\\\"Pedestrians\\\")[0]\\n for feature in walker_layer.getFeatures():\\n ped_id = \\\"Pedestrian_\\\" + str(feature[\\\"id\\\"])\\n orientation = feature[\\\"Orientation\\\"]\\n pos_x = feature[\\\"Pos X\\\"]\\n pos_y = feature[\\\"Pos Y\\\"]\\n pos_z = feature[\\\"Pos Z\\\"]\\n init_speed = feature[\\\"Init Speed\\\"]\\n\\n entity = etree.SubElement(init_act, \\\"Private\\\")\\n entity.set(\\\"entityRef\\\", ped_id)\\n self.entity_teleport_action(entity, orientation, pos_x, pos_y, pos_z)\\n if init_speed != 0:\\n self.set_init_speed(entity, init_speed)\\n\\n # Static Objects\\n if QgsProject.instance().mapLayersByName(\\\"Static Objects\\\"):\\n props_layer = QgsProject.instance().mapLayersByName(\\\"Static Objects\\\")[0]\\n for feature in props_layer.getFeatures():\\n prop_id = \\\"Prop_\\\" + str(feature[\\\"id\\\"])\\n orientation = feature[\\\"Orientation\\\"]\\n pos_x = feature[\\\"Pos X\\\"]\\n pos_y = feature[\\\"Pos Y\\\"]\\n pos_z = feature[\\\"Pos Z\\\"]\\n\\n entity = etree.SubElement(init_act, \\\"Private\\\")\\n entity.set(\\\"entityRef\\\", prop_id)\\n self.entity_teleport_action(entity, orientation, pos_x, pos_y, pos_z)\",\n \"def __init__(self, *args):\\n this = _libsbml.new_XMLNode(*args)\\n try: self.this.append(this)\\n except: self.this = this\",\n \"def load_story(self, story_id):\\r\\n story_url = \\\"https://www.pivotaltracker.com/services/v3/projects/{}/stories/{}\\\".format(self.project_id, story_id)\\r\\n\\r\\n resposne = _perform_pivotal_get(story_url)\\r\\n # print resposne.text\\r\\n if resposne.status_code == 404:\\r\\n # Not Found\\r\\n return None\\r\\n else:\\r\\n #Found, parsing story\\r\\n root = ET.fromstring(resposne.text)\\r\\n return Story.from_node(root)\",\n \"def make_nodes(pyassimp_node):\\n trs_keyframes = transform_keyframes.get(pyassimp_node.name, (None,))\\n\\n node = SkinningControlNode(*trs_keyframes, name=pyassimp_node.name,\\n transform=pyassimp_node.transformation)\\n nodes[pyassimp_node.name] = node, pyassimp_node\\n node.add(*(make_nodes(child) for child in pyassimp_node.children))\\n return node\",\n \"def __init__(self, dict):\\n self.name = dict[0]\\n self.bracket = dict[1]\\n self.children = []\\n self.text = ''\",\n \"def getStories(self, source):\\n self.numberOfStoriesOnFrontPage = source.count(\\\"span id=score\\\")\\n # Create the empty stories.\\n newsStories = []\\n for i in range(0, self.numberOfStoriesOnFrontPage):\\n story = HackerNewsStory()\\n newsStories.append(story)\\n \\n soup = BeautifulSoup(source)\\n # Gives URLs, Domains and titles.\\n story_details = soup.findAll(\\\"td\\\", {\\\"class\\\" : \\\"title\\\"}) \\n # Gives score, submitter, comment count and comment URL.\\n story_other_details = soup.findAll(\\\"td\\\", {\\\"class\\\" : \\\"subtext\\\"})\\n\\n # Get story numbers.\\n storyNumbers = []\\n for i in range(0,len(story_details) - 1, 2):\\n story = str(story_details[i]) # otherwise, story_details[i] is a BeautifulSoup-defined object.\\n storyNumber = self.getStoryNumber(story)\\n storyNumbers.append(storyNumber)\\n \\n storyURLs = []\\n storyDomains = []\\n storyTitles = []\\n storyScores = []\\n storySubmitters = []\\n storyCommentCounts = []\\n storyCommentURLs = []\\n storyIDs = []\\n\\n for i in range(1, len(story_details), 2): # Every second cell contains a story.\\n story = str(story_details[i])\\n storyURLs.append(self.getStoryURL(story))\\n storyDomains.append(self.getStoryDomain(story))\\n storyTitles.append(self.getStoryTitle(story))\\n \\n for s in story_other_details:\\n story = str(s)\\n storyScores.append(self.getStoryScore(story))\\n storySubmitters.append(self.getSubmitter(story))\\n storyCommentCounts.append(self.getCommentCount(story))\\n storyCommentURLs.append(self.getCommentsURL(story))\\n storyIDs.append(self.getHNID(story))\\n \\n \\n # Associate the values with our newsStories. \\n for i in range(0, self.numberOfStoriesOnFrontPage):\\n newsStories[i].number = storyNumbers[i]\\n newsStories[i].URL = storyURLs[i]\\n newsStories[i].domain = storyDomains[i]\\n newsStories[i].title = storyTitles[i]\\n newsStories[i].score = storyScores[i]\\n newsStories[i].submitter = storySubmitters[i]\\n newsStories[i].commentCount = storyCommentCounts[i]\\n newsStories[i].commentsURL = storyCommentURLs[i]\\n newsStories[i].id = storyIDs[i]\\n \\n return newsStories\",\n \"def from_xml_node(cls, xml_node):\\n ticket_id = get_xml_int_value(xml_node, Elements.TICKET_ID)\\n history_activities = []\\n for history_activity_node in xml_node.iter(tag=Elements.TICKET_HISTORY_ACTIVITY):\\n history_activities.append(Ticket_History_Activity.from_xml_node(history_activity_node))\\n return cls(ticket_id, history_activities)\",\n \"def FromXML(cls, source):\\n if not hasattr(source, 'read'):\\n source = StringIO(source)\\n\\n tree = ElementTree()\\n root = tree.parse(source)\\n\\n doc = cls(type=root.get(\\\"type\\\", \\\"none\\\"))\\n\\n doc._bullets = {}\\n doc._actions = {}\\n doc._fires = {}\\n doc._bullet_refs = []\\n doc._action_refs = []\\n doc._fire_refs = []\\n\\n for element in list(root):\\n tag = realtag(element)\\n if tag in doc.CONSTRUCTORS:\\n doc.CONSTRUCTORS[tag].FromXML(doc, element)\\n\\n try:\\n for ref in doc._bullet_refs:\\n ref.bullet = doc._bullets[ref.bullet]\\n for ref in doc._fire_refs:\\n ref.fire = doc._fires[ref.fire]\\n for ref in doc._action_refs:\\n ref.action = doc._actions[ref.action]\\n except KeyError as exc:\\n raise ParseError(\\\"unknown reference %s\\\" % exc)\\n\\n doc.actions = [act for name, act in doc._actions.items()\\n if name and name.startswith(\\\"top\\\")]\\n\\n del(doc._bullet_refs)\\n del(doc._action_refs)\\n del(doc._fire_refs)\\n del(doc._bullets)\\n del(doc._actions)\\n del(doc._fires)\\n \\n return doc\",\n \"def createElementFromState(state):\",\n \"def __init__(self, level, content):\\n try: # Check to make sure valid level is passed (must convert to int)\\n int(level)\\n except ValueError:\\n raise TypeError(\\\"Level of H must be convertible to int\\\")\\n self.tag = f\\\"h{level}\\\"\\n Element.__init__(self, content=content)\",\n \"def parts_from_xml(cls, xml_tree, song):\\n return [\\n cls.part_from_xml(score_part, xml_tree, song)\\n for score_part in xml_tree.getroot().findall(\\\"part-list/score-part\\\")\\n ]\",\n \"def __init__(self, topic_id='', topic_name='', children=()):\\n self.topic_id = topic_id\\n self.topic_name = topic_name\\n self.children = children\",\n \"def __init__(self, xml_file, root_name, tags=[]):\\n self.xml_file = xml_file\\n self.tree = ET.ElementTree(ET.Element(root_name))\\n self.root = self.tree.getroot()\\n\\n for tag in tags:\\n self.root.set(tag[0], tag[1])\",\n \"def __init__(self, xml_node: ET.Element) -> None:\\n\\t\\treturn\",\n \"def __init__(self,tag,attributes=None,children=None): \\n self.tag = mapping[tag]\\n if attributes is None:\\n self.attributes = []\\n else:\\n self.attributes = attributes\\n if children is None:\\n self.children = []\\n else:\\n self.children = children\",\n \"def __init__(self, parentNode=None):\\n Idevice.__init__(self, x_(u\\\"Cloze Activity\\\"),\\n x_(u\\\"University of Auckland\\\"), \\n x_(u\\\"<p>Cloze exercises are texts or \\\"\\n \\\"sentences where students must fill in \\\"\\n \\\"missing words. They are often used for the \\\"\\n \\\"following purposes:</p>\\\"\\n \\\"<ol>\\\"\\n \\\"<li>To check knowledge of core course \\\"\\n \\\"concepts (this could be a pre-check, \\\"\\n \\\"formative exercise, or summative check).</li>\\\"\\n \\\"<li>To check reading comprehension.</li>\\\"\\n \\\"<li>To check vocabulary knowledge.</li>\\\"\\n \\\"<li>To check word formation and/or grammatical \\\"\\n \\\"competence. </li></ol>\\\"),\\n x_(u\\\"<dl>\\\"\\n \\\" <dt>If your goal is to test understanding \\\"\\n \\\"of core concepts or reading comprehension\\\"\\n \\\" </dt>\\\"\\n \\\" <dd>\\\"\\n \\\" <p>\\\"\\n \\\" Write a summary of the concept or reading long \\\"\\n \\\" enough to adequately test the target's \\\"\\n \\\"knowledge, but short enough not to \\\"\\n \\\"induce fatigue. Less than one typed page is \\\"\\n \\\"probably adequate, but probably \\\"\\n \\\"considerably less for young students or \\\"\\n \\\"beginners.\\\"\\n \\\" </p>\\\"\\n \\\" <p>\\\"\\n \\\"Select words in the text that\\\"\\n \\\"are key to understanding the concepts. These\\\"\\n \\\"will probably be verbs, nouns, and key adverbs.\\\"\\n \\\"Choose alternatives with one clear answer.\\\"\\n \\\" </p>\\\"\\n \\\" </dd>\\\"\\n \\\" <dt>\\\"\\n \\\"If your goal is to test vocabulary knowledge\\\"\\n \\\" </dt>\\\"\\n \\\" <dd>\\\"\\n \\\"<p>Write a text using the target vocabulary. This \\\"\\n \\\"text should be coherent and cohesive, and be of \\\"\\n \\\"an appropriate length. Highlight the target \\\"\\n \\\"words in the text. Choose alternatives with one \\\"\\n \\\"clear answer.</p>\\\"\\n \\\" </dd>\\\"\\n \\\" <dt>\\\"\\n \\\"If your goal is to test word \\\"\\n \\\"formation/grammar:\\\"\\n \\\" </dt>\\\"\\n \\\" <dd>\\\"\\n \\\" <p>\\\"\\n \\\"Write a text using the \\\"\\n \\\"target forms. This text should be coherent and \\\"\\n \\\"cohesive, and be of an appropriate length. \\\"\\n \\\"Remember that the goal is not vocabulary \\\"\\n \\\"knowledge, so the core meanings of the stem \\\"\\n \\\"words should be well known to the students.\\\"\\n \\\" </p>\\\"\\n \\\" <p>\\\"\\n \\\"Highlight the target words in the text. Provide \\\"\\n \\\"alternatives with the same word stem, but \\\"\\n \\\"different affixes. It is a good idea to get a \\\"\\n \\\"colleague to test the test/exercise to make \\\"\\n \\\"sure there are no surprises!\\\"\\n \\\" </p>\\\"\\n \\\" </dd>\\\"\\n \\\"</dl>\\\"),\\n u\\\"question\\\",\\n parentNode)\\n self.instructionsForLearners = TextAreaField(\\n x_(u'Instructions'),\\n x_(u\\\"\\\"\\\"Provide instruction on how the cloze activity should be \\ncompleted. Default text will be entered if there are no changes to this field.\\n\\\"\\\"\\\"),\\n x_(u'Read the paragraph below and '\\n 'fill in the missing words.'))\\n self.instructionsForLearners.idevice = self\\n self._content = ClozeField(x_(u'Cloze'), \\n x_(u\\\"\\\"\\\"<p>Enter the text for the cloze activity in to the cloze field \\nby either pasting text from another source or by typing text directly into the \\nfield.</p><p> To select words to hide, double click on the word to select it and \\nclick on the Hide/Show Word button below.</p>\\\"\\\"\\\"))\\n self._content.idevice = self\\n self.feedback = TextAreaField(x_(u'Feedback'),\\n x_(u'Enter any feedback you wish to provide the learner '\\n 'with-in the feedback field. This field can be left blank.'))\\n self.feedback.idevice = self\\n self.emphasis = Idevice.SomeEmphasis\\n self.systemResources += [\\\"common.js\\\"]\\n self.isCloze = True\",\n \"def __init__(self, item=None):\\n self.item = item\\n self.children = [] #List to hold all child nodes of this Node\",\n \"def __init__(self, *args):\\n this = _libsbml.new_SBMLDocument(*args)\\n try: self.this.append(this)\\n except: self.this = this\",\n \"def visit(node):\\r\\n if getattr(node, 'due', None):\\r\\n units.append(node)\\r\\n else:\\r\\n for child in node.get_children():\\r\\n visit(child)\",\n \"def test_sections_json_spider_three_levels(self):\\n\\n title = (\\\"Taking Action for the Social and Emotional Health of \\\"\\n\\t \\\"Young Children: A Report to the Community from the \\\" \\n \\\"Denver Early Childhood Council\\\")\\n summary = (\\\"Now, Denver has a plan of action to make it easier \\\"\\n \\\"for families to access early childhood mental health \\\"\\n \\\"information, intervention and services.\\\")\\n byline = \\\"Denver Early Childhood Council\\\"\\n story = create_story(title=title, summary=summary, byline=byline)\\n layout = SectionLayout.objects.get(sectionlayouttranslation__name=\\\"Side by Side\\\")\\n section1 = create_section(\\\"We're ready to take action. Are you?\\\",\\n story=story, layout=layout, weight=7)\\n section2 = create_section(\\\"Ricardo's Story\\\",\\n\\t\\t\\t story=story, layout=layout, weight=2)\\n section3 = create_section(\\\"Meeting the need for better child mental health services\\\",\\n\\t\\t\\t story=story, layout=layout, root=True,\\n weight=1)\\n section4 = create_section(\\\"Healthy Minds Support Strong Futures\\\",\\n story=story, layout=layout, weight=5) \\n section5 = create_section(\\\"Community Voices\\\",\\n\\t\\t\\t story=story, layout=layout, weight=3)\\n section6 = create_section(\\\"Our Vision: That All Children in Denver are Valued, Healthy and Thriving\\\",\\n\\t\\t\\t story=story, layout=layout, weight=4)\\n section7 = create_section(\\\"Defining a \\\\\\\"Framework for Change\\\\\\\" with Actionable Goals and Strategies\\\",\\n\\t\\t\\t story=story, layout=layout, weight=5) \\n section8 = create_section(\\\"How Can the Plan Make a Difference?\\\",\\n\\t\\t\\t story=story, layout=layout, weight=5)\\n section9 = create_section(\\\"Impact\\\", story=story, layout=layout,\\n weight=6)\\n SectionRelation.objects.create(parent=section6, child=section8,\\n weight=0)\\n SectionRelation.objects.create(parent=section7, child=section9,\\n weight=0)\\n SectionRelation.objects.create(parent=section6, child=section7,\\n weight=0)\\n SectionRelation.objects.create(parent=section3, child=section1,\\n weight=0)\\n SectionRelation.objects.create(parent=section3, child=section6,\\n weight=0)\\n SectionRelation.objects.create(parent=section3, child=section4,\\n weight=0)\\n SectionRelation.objects.create(parent=section3, child=section5,\\n weight=0)\\n SectionRelation.objects.create(parent=section3, child=section2,\\n weight=0)\\n json_sections = simplejson.loads(story.structure.sections_json(\\n include_summary=False, include_call_to_action=False))\\n self.assertIn(section8.section_id,\\n self._get_section(\\n json_sections, section6.section_id)['children'])\\n self.assertIn(section9.section_id,\\n self._get_section(json_sections, section7.section_id)['children'])\\n self.assertIn(section7.section_id,\\n self._get_section(json_sections, section6.section_id)['children'])\\n self.assertIn(section1.section_id,\\n self._get_section(json_sections, section3.section_id)['children'])\\n self.assertIn(section6.section_id,\\n self._get_section(json_sections, section3.section_id)['children'])\\n self.assertIn(section4.section_id,\\n self._get_section(json_sections, section3.section_id)['children'])\\n self.assertIn(section5.section_id,\\n self._get_section(json_sections, section3.section_id)['children'])\\n self.assertIn(section2.section_id,\\n self._get_section(json_sections, section3.section_id)['children'])\",\n \"def __init__(self, node: yaml.Node) -> None:\\n self.yaml_node = node\",\n \"def from_xml(cls, xml_data, system, id_generator):\\r\\n\\r\\n xml_object = etree.fromstring(xml_data)\\r\\n # VS[compat] -- just have the url_name lookup, once translation is done\\r\\n url_name = xml_object.get('url_name', xml_object.get('slug'))\\r\\n def_id = id_generator.create_definition(xml_object.tag, url_name)\\r\\n usage_id = id_generator.create_usage(def_id)\\r\\n\\r\\n # VS[compat] -- detect new-style each-in-a-file mode\\r\\n if is_pointer_tag(xml_object):\\r\\n # new style:\\r\\n # read the actual definition file--named using url_name.replace(':','/')\\r\\n filepath = cls._format_filepath(xml_object.tag, name_to_pathname(url_name))\\r\\n definition_xml = cls.load_file(filepath, system.resources_fs, def_id)\\r\\n else:\\r\\n definition_xml = xml_object\\r\\n filepath = None\\r\\n\\r\\n definition, children = cls.load_definition(definition_xml, system, def_id) # note this removes metadata\\r\\n\\r\\n # VS[compat] -- make Ike's github preview links work in both old and\\r\\n # new file layouts\\r\\n if is_pointer_tag(xml_object):\\r\\n # new style -- contents actually at filepath\\r\\n definition['filename'] = [filepath, filepath]\\r\\n\\r\\n metadata = cls.load_metadata(definition_xml)\\r\\n\\r\\n # move definition metadata into dict\\r\\n dmdata = definition.get('definition_metadata', '')\\r\\n if dmdata:\\r\\n metadata['definition_metadata_raw'] = dmdata\\r\\n try:\\r\\n metadata.update(json.loads(dmdata))\\r\\n except Exception as err:\\r\\n log.debug('Error in loading metadata %r', dmdata, exc_info=True)\\r\\n metadata['definition_metadata_err'] = str(err)\\r\\n\\r\\n # Set/override any metadata specified by policy\\r\\n cls.apply_policy(metadata, system.get_policy(usage_id))\\r\\n\\r\\n field_data = {}\\r\\n field_data.update(metadata)\\r\\n field_data.update(definition)\\r\\n field_data['children'] = children\\r\\n\\r\\n field_data['xml_attributes']['filename'] = definition.get('filename', ['', None]) # for git link\\r\\n kvs = InheritanceKeyValueStore(initial_values=field_data)\\r\\n field_data = KvsFieldData(kvs)\\r\\n\\r\\n return system.construct_xblock_from_class(\\r\\n cls,\\r\\n # We're loading a descriptor, so student_id is meaningless\\r\\n ScopeIds(None, xml_object.tag, def_id, usage_id),\\r\\n field_data,\\r\\n )\",\n \"def __init__(self):\\n self.root = TridNode()\",\n \"def from_element(cls, elem):\\n return cls(elem.attrib['pid'], elem.attrib['name'], elem.text, elem.attrib['tags'])\",\n \"def __call__(self, filename, manuscript=\\\"\\\", journal=\\\"\\\", author=[], \\n publisher=\\\"\\\"):\\n\\n # check the parameters\\n while len(author) < 4:\\n author.append(\\\"\\\")\\n\\n doc = getDocument(filename)\\n\\n Story = []\\n\\n # Section 1\\n Story.append(\\n Paragraph(\\n \\\"\\\"\\\"<seqreset id=\\\"main\\\" /><seq id=\\\"main\\\">. THIS Amendment hereby \\n modifies and supplements the attached Publication Agreement \\n concerning the following Article:\\\"\\\"\\\", styles['outer_style'])\\n )\\n\\n journal_info_table = Table([\\n [fillInRow(manuscript, \\\"(manuscript title)\\\", width=inch*5)],\\n [fillInRow(journal, \\\"(journal name)\\\", width=inch*5)],\\n ],\\n )\\n journal_info_table.hAlign = 'LEFT'\\n Story.append(journal_info_table)\\n\\n # Section 2\\n Story.append(\\n Paragraph(\\n \\\"\\\"\\\"<seq id=\\\"main\\\">. The parties to the Publication Agreement and\\n to this Amendment are:\\\"\\\"\\\", styles['outer_style'])\\n )\\n\\n journal_info_table = Table([\\n [fillInRow(author[0], \\\"(corresponding author)\\\", width=inch*5)],\\n [Paragraph(\\\"and\\\", styles['outer_style'])],\\n [fillInRow(journal, \\\"(the Publisher)\\\", width=inch*5)],\\n ],\\n )\\n journal_info_table.hAlign = 'LEFT'\\n Story.append(journal_info_table)\\n\\n # Section 3\\n Story.append(\\n Paragraph(\\n \\\"\\\"\\\"<seq id=\\\"main\\\">. The parties agree that wherever there is any\\n conflict between the Amendment and the Publication Agreement, \\n the provisions of this Amendment are paramount and the \\n Publication Agreement shall be construed accordingly.\\\"\\\"\\\",\\n styles['outer_style'])\\n )\\n\\n # Section 4\\n Story.append(\\n Paragraph(\\n \\\"\\\"\\\"<seq id=\\\"main\\\">. Notwithstanding any terms in the Publication\\nAgreement to the contrary and in addition to the rights retained by Author \\nor licensed by Published to Author in the Publication Agreement and any fair \\nuse rights of Author, Author and Publisher agree that the Author shall also \\nretain the following rights:\\\"\\\"\\\",\\n styles['outer_style'])\\n )\\n\\n # 4a\\n Story.append(\\n Paragraph(\\n \\\"\\\"\\\"a. The Author shall, without limitation, have the non-exclusive right to use, reproduce, distribute, create derivative works including update, perform, and display publicly, the Article in electronic, digital or print form in connection with the Author's teaching, conference presentations, lectures, other scholarly works, and for all of Author's academic and professional activities. \\\"\\\"\\\",\\n styles['inner_style'])\\n )\\n\\n # 4b\\n Story.append(\\n Paragraph(\\n \\\"\\\"\\\"b. Once the Article has been published by Publisher, the Author shall also have all the non-exclusive rights necessary to make, or to authorize others to make, the final published version of the Article available in digital form over the Internet, including but not limited to a website under the control of the Author or the Author's employer or through any digital repository, such as MIT's DSpace or the National Library of Medicine's PubMed Central database.\\\"\\\"\\\",\\n styles['inner_style'])\\n )\\n\\n #4c\\n Story.append(\\n Paragraph(\\n \\\"\\\"\\\"c. The Author further retains all non-exclusive rights necessary to grant to the Author's employing institution the non-exclusive right to use, reproduce, distribute, display, publicly perform, and make copies of the work in electronic, digital or in print form in connection with teaching, digital repositories, conference presentations, lectures, other scholarly works, and all academic and professional activities conducted at the Author's employing institution. \\\"\\\"\\\",\\n styles['inner_style'])\\n )\\n\\n # Section 5\\n Story.append(\\n Paragraph(\\n \\\"\\\"\\\"<seq id=\\\"main\\\" />. <b>Final Agreement.</b> This Amendment and the Publication Agreement, taken together, constitute the final agreement between the Author and the Publisher with respect to the publication of the Article and allocation of rights under copyright in the Article. Any modification of or additions to the terms of this Amendment or to the Publication Agreement must be in writing and executed by both Publisher and Author in order to be effective.\\\"\\\"\\\",\\n styles['outer_style'])\\n )\\n\\n # Signature\\n journal_info_table = Table([\\n [\\\"AUTHOR\\\", \\\" \\\", \\\"PUBLISHER\\\"],\\n [fillInRow(\\\"\\\", \\\"(corresponding author on behalf of all authors)\\\"),\\n \\\"\\\", fillInRow(\\\"\\\", \\\"\\\")],\\n [fillInRow(\\\"\\\", \\\"Date\\\"),\\n \\\"\\\",\\n fillInRow(\\\"\\\", \\\"Date\\\")]\\n ],\\n colWidths=[inch*3, inch*.25, inch*3],\\n )\\n\\n journal_info_table.hAlign = 'LEFT'\\n Story.append(journal_info_table)\\n\\n # MIT Directive\\n Story.append(\\n Paragraph(\\\"<b>MIT Authors:</b>\\\", styles['outer_style'])\\n )\\n Story.append(\\n Paragraph(\\\"Please fax a copy of the agreement to 617-253-8894. Direct any questions to amend-cip@mit.edu\\\",\\n styles['inner_style'])\\n )\\n\\n\\n agreement = \\\"%s %s\\\" % (self.NAME, self.VERSION)\\n doc.build(Story, \\n onFirstPage=mit_pageInfo, onLaterPages=mit_pageInfo)\",\n \"def __init__(self, template, file_path):\\n self.navigator = Navigator()\\n self.template = template\\n self.file_path = file_path\\n self.template_data = read_xml_get_json(template, ordered_dict=True)\\n self.data = read_xml_get_json(file_path, ordered_dict=True)\\n self.output = {\\\"status\\\": True, \\\"message\\\": \\\"\\\"}\\n self.root = \\\"Testcase\\\"\\n self.major = (\\\"Details\\\", \\\"Requirements\\\", \\\"Steps\\\")\",\n \"def createLesson(self):\\n root = xml.Element(\\\"lesson\\\", id=str(self.__id_lesson))\\n xml.SubElement(root, \\\"title\\\").text = self.__title\\n xml.SubElement(root, \\\"description\\\").text = self.__description\\n xml.SubElement(root, \\\"text\\\").text = self.__lesson_text\\n link = xml.SubElement(root, \\\"link\\\")\\n for i in range(len(self.__link)):\\n xml.SubElement(link, \\\"L\\\" + str(i)).text = self.__link[i]\\n tree = xml.ElementTree(root)\\n tree.write(\\\"..\\\\Lessons\\\\lesson\\\" + str(self.__id_lesson) + \\\".xml\\\")\",\n \"def fill_tree(self, dom: awe.data.graph.dom.Dom):\\n\\n for node in dom.nodes:\\n self.fill_one(node)\\n\\n # Check that all extracted data were used.\\n queue = [(self.data, '', None)]\\n def get_xpath(tag_name: str, parent, suffix = ''):\\n \\\"\\\"\\\"Utility for reconstructing XPath in case of error.\\\"\\\"\\\"\\n xpath = f'{tag_name}{suffix}'\\n if parent is not None:\\n return get_xpath(parent[1], parent[2], xpath)\\n return xpath\\n while len(queue) > 0:\\n item = queue.pop()\\n node_data, tag_name, parent = item\\n\\n # Check `fill_one` was called on this entry.\\n filled = node_data.pop('_filled', False)\\n if not filled and tag_name != '':\\n raise RuntimeError('Unused visual attributes for ' +\\n f'{get_xpath(tag_name, parent)!r} in {self.path!r}.')\\n\\n # Add children to queue.\\n for child_name, child_data in node_data.items():\\n if child_name.startswith('/') and (\\n get_tag_name(child_name)\\n not in awe.data.parsing.IGNORED_TAG_NAMES\\n ):\\n queue.insert(0, (child_data, child_name, item))\",\n \"def __init__(self, root, transform=None, face=True, scenery=False, test=False):\\n self.root = root\\n self.transform = transform\\n self.face = face\\n self.scenery = scenery\\n self.dataset = []\\n self.test = test\\n self.create_dataset(root)\",\n \"def createnode(node, content):\\n for c in content:\\n if isinstance(c, SpanNode):\\n # Sub-node\\n node.nodelist.append(c)\\n c.pnode = node\\n elif c[0] == 'span':\\n node.eduspan = (c[1], c[2])\\n elif c[0] == 'relation':\\n node.relation = c[1]\\n elif c[0] == 'leaf':\\n node.eduspan = (c[1], c[1])\\n node.nucspan = (c[1], c[1])\\n node.nucedu = c[1]\\n elif c[0] == 'text':\\n node.text = c[1]\\n else:\\n raise ValueError(\\\"Unrecognized property: {}\\\".format(c[0]))\\n return node\",\n \"def FromJson(as_json):\\n if _is_string(as_json):\\n #we assume it's either a json string or a dictionary\\n parsed = json.loads(as_json)\\n else:\\n parsed = as_json\\n\\n #labels\\n if \\\"labels\\\" in parsed:\\n parsed[\\\"labels\\\"] = set(parsed[\\\"labels\\\"]) # it comes as list in JSON\\n\\n if \\\"tasks\\\" in parsed:\\n json_tasks = parsed[\\\"tasks\\\"]\\n parsed[\\\"tasks\\\"] = []\\n for json_task in json_tasks:\\n the_task = Task.FromDictionary(json_task)\\n parsed[\\\"tasks\\\"].append(the_task)\\n\\n story = Story()\\n story.__dict__ = parsed\\n return story\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.7573793","0.6829349","0.58085346","0.5662829","0.5408246","0.5368695","0.53291357","0.529218","0.5163592","0.5163557","0.51551956","0.5153943","0.51413214","0.51333845","0.51263046","0.5122783","0.5116713","0.5107789","0.5105426","0.5062073","0.5047572","0.504652","0.50058794","0.49917638","0.49441668","0.49412245","0.49399012","0.48799962","0.4872444","0.48601052","0.48364347","0.4834819","0.48195344","0.4805224","0.47957826","0.47956276","0.47730517","0.47714034","0.47625536","0.47515762","0.47473213","0.4746282","0.4741082","0.47361702","0.47310886","0.47249794","0.47111827","0.4705026","0.47017613","0.47001672","0.46992108","0.46976933","0.46974492","0.4696916","0.46968564","0.46965796","0.4690879","0.46854603","0.4680112","0.46760616","0.46657002","0.46650335","0.46638334","0.46600574","0.46590352","0.46588546","0.4658072","0.46529746","0.4649364","0.4647458","0.46448362","0.46428967","0.46309105","0.46288213","0.46271217","0.46260282","0.46252415","0.4620688","0.46204534","0.46203065","0.46194604","0.4619322","0.46149403","0.46088862","0.460139","0.459943","0.4588805","0.45875156","0.4585368","0.45850483","0.45841125","0.458306","0.4570648","0.45689175","0.4568769","0.45644137","0.45531505","0.45482555","0.45471436","0.45430306"],"string":"[\n \"0.7573793\",\n \"0.6829349\",\n \"0.58085346\",\n \"0.5662829\",\n \"0.5408246\",\n \"0.5368695\",\n \"0.53291357\",\n \"0.529218\",\n \"0.5163592\",\n \"0.5163557\",\n \"0.51551956\",\n \"0.5153943\",\n \"0.51413214\",\n \"0.51333845\",\n \"0.51263046\",\n \"0.5122783\",\n \"0.5116713\",\n \"0.5107789\",\n \"0.5105426\",\n \"0.5062073\",\n \"0.5047572\",\n \"0.504652\",\n \"0.50058794\",\n \"0.49917638\",\n \"0.49441668\",\n \"0.49412245\",\n \"0.49399012\",\n \"0.48799962\",\n \"0.4872444\",\n \"0.48601052\",\n \"0.48364347\",\n \"0.4834819\",\n \"0.48195344\",\n \"0.4805224\",\n \"0.47957826\",\n \"0.47956276\",\n \"0.47730517\",\n \"0.47714034\",\n \"0.47625536\",\n \"0.47515762\",\n \"0.47473213\",\n \"0.4746282\",\n \"0.4741082\",\n \"0.47361702\",\n \"0.47310886\",\n \"0.47249794\",\n \"0.47111827\",\n \"0.4705026\",\n \"0.47017613\",\n \"0.47001672\",\n \"0.46992108\",\n \"0.46976933\",\n \"0.46974492\",\n \"0.4696916\",\n \"0.46968564\",\n \"0.46965796\",\n \"0.4690879\",\n \"0.46854603\",\n \"0.4680112\",\n \"0.46760616\",\n \"0.46657002\",\n \"0.46650335\",\n \"0.46638334\",\n \"0.46600574\",\n \"0.46590352\",\n \"0.46588546\",\n \"0.4658072\",\n \"0.46529746\",\n \"0.4649364\",\n \"0.4647458\",\n \"0.46448362\",\n \"0.46428967\",\n \"0.46309105\",\n \"0.46288213\",\n \"0.46271217\",\n \"0.46260282\",\n \"0.46252415\",\n \"0.4620688\",\n \"0.46204534\",\n \"0.46203065\",\n \"0.46194604\",\n \"0.4619322\",\n \"0.46149403\",\n \"0.46088862\",\n \"0.460139\",\n \"0.459943\",\n \"0.4588805\",\n \"0.45875156\",\n \"0.4585368\",\n \"0.45850483\",\n \"0.45841125\",\n \"0.458306\",\n \"0.4570648\",\n \"0.45689175\",\n \"0.4568769\",\n \"0.45644137\",\n \"0.45531505\",\n \"0.45482555\",\n \"0.45471436\",\n \"0.45430306\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.63884753"},"document_rank":{"kind":"string","value":"2"}}},{"rowIdx":20498,"cells":{"query":{"kind":"string","value":"changes the estimate of a story"},"document":{"kind":"string","value":"def assign_estimate(self, estimate):\n return self.update(estimate=estimate)"},"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 assign_estimate(self, estimate):\r\n update_story_url =\"https://www.pivotaltracker.com/services/v3/projects/{}/stories/{}?story[estimate]={}\".format(self.project_id, self.story_id, estimate)\r\n response = _perform_pivotal_put(update_story_url)","def estimate(self, estimate):\n\n self._estimate = estimate","def estimate(self) -> None:\n pass","def update_Q(self, reward):\n old_estimate = self.q_estimates[self.prev_action]\n self.q_estimates[self.prev_action] = old_estimate + 1/self.N[self.prev_action] * (reward - old_estimate)","def evaluate(self, story):\n raise NotImplementedError","def evaluate(self, story):\n raise NotImplementedError","def evaluate(self, story):\n raise NotImplementedError","def update(self,x): #update the estimate of rewards and number of esteps run\n\t\tself.N += 1\n\t\tself.estimate_mean = (1.0-1.0/self.N)*self.estimate_mean + (1.0/self.N)*x #recurence relation for averages","def evaluate(self, story):\n # DO NOT CHANGE THIS!\n raise NotImplementedError","def run():\n return estimate(0,1,0)","def update_score():\n pass","def test_update_goal_metric(self):\n pass","def evaluate_design(self): # to update the pr object","def update(self, state, action, nextState, reward):\n \"\"\"Description:\n Use second equation in slide 71 of MDP\n Adjest weight of active features depend on tranistion \n \"\"\"\n \"\"\" YOUR CODE HERE \"\"\"\n feat = self.featExtractor.getFeatures(state, action)\n\n # if weight is empty, then weight will need to initial to 1 for all features\n # According to which Extractor user choose, weight counter will have equal number of keys.\n if len(self.weight) == 0:\n feat = self.featExtractor.getFeatures(state, action)\n self.weight.incrementAll(feat.keys(), 1)\n \n maxQns = self.getValue(nextState)\n if maxQns == None:\n maxQns = 0\n Qsa = self.getQValue(state, action)\n difference = ( reward + self.discountRate * maxQns ) - Qsa\n \n for key in self.weight.keys():\n self.weight[key] += (self.alpha * difference * feat[key])\n \n \n \"\"\" END CODE \"\"\"","def _update_optimizer(self, hyperparameters, score, fit=True):\n if self.do_maximize:\n score = -score\n self.optimizer_result = self.optimizer.tell(hyperparameters, score, fit=fit)","def _update(self, bandit): \n \n bandit_logs = self.logging[bandit]\n bandit = bandit.id\n if not bandit_logs['actions']:\n estimate = 0 # if not taken till now then 0 is assigned\n actions = 0\n else:\n estimate = bandit_logs['reward'] / bandit_logs['actions'] # if not assigned\n actions = bandit_logs['actions']\n self.mu[bandit] = (self.mu_pri[bandit]/self.var_pri[bandit] + actions*estimate/self.var0)/(actions/self.var0 + 1/self.var_pri[bandit])\n self.var[bandit] = 1/(actions/self.var0 + 1/self.var[bandit])","def _update(self, bandit): \n \n bandit_logs = self.logging[bandit]\n bandit = bandit.id\n estimate = bandit_logs['reward'] / bandit_logs['actions'] # if not assigned\n actions = bandit_logs['actions']\n self.mu[bandit] = (self.mu_pri[bandit]/self.var_pri[bandit] + actions*estimate/self.var0)/(actions/self.var0 + 1/self.var_pri[bandit])\n self.var[bandit] = 1/(actions/self.var0 + 1/self.var[bandit])","def update_estimator(self):\n self.optimizer.step()\n self.optimizer.zero_grad()","def update_estimator(self):\n self.optimizer.step()\n self.optimizer.zero_grad()","def update_goal(self):\n pass","def update(self, s, a, td_target):\n features = self.featurize_state(s)\n self.models[a].partial_fit([features], [td_target]) # recall that we have a seperate funciton for each a ","def test_update_fitness():\n herb1 = Herbivore(10)\n original_fitness = herb1.fitness\n herb1.feeding(10)\n nt.assert_not_equal(herb1.fitness, original_fitness)","def thesis(self, new_thesis):\r\n self.__thesis = 'Thesis: ' + new_thesis","def update_score(self):\n self.score = TurboMQ.calculate_fitness(self.result, self.graph)","def _update_step(self, *, observations: types.ObservationsTorch) -> None:","def _update_distribution(self, trajectories):\n costs = trajectories[\"costs\"].copy()\n actions = trajectories[\"actions\"].copy()\n Q = cost_to_go(costs, self.gamma_seq)\n best_id = np.argmin(Q, axis = 0)[0]\n self.mean_action = (1.0 - self.step_size) * self.mean_action +\\\n self.step_size * actions[best_id]","def update_percent(self):","def stepETAUpdate(build, step, ETA, expectations):","def update(self, state, action, nextState, reward):\n \"*** YOUR CODE HERE ***\"\n\n position = state.getPacmanPosition()\n\n temporal_difference = reward + self.discount * self.computeValueFromQValues(nextState) - self.getQValue(state, action)\n\n val = self.getQValue(state, action) + self.alpha * temporal_difference\n\n self.values[(str(position), action)] = val\n\n with open(\"dataFakeGoal.txt\", \"a+\") as f:\n f.write(str(position) + \"|\" + action + \"|\" + str(val) + \"\\n\")","def update(self, state, action, nextState, reward):\n \"*** YOUR CODE HERE ***\"\n\n position = state.getPacmanPosition()\n\n temporal_difference = reward + self.discount * self.computeValueFromQValues(nextState) - self.getQValue(state, action)\n\n val = self.getQValue(state, action) + self.alpha * temporal_difference\n\n self.values[(str(position), action)] = val\n\n with open(\"dataFakeGoal1.txt\", \"a+\") as f:\n f.write(str(position) + \"|\" + action + \"|\" + str(val) + \"\\n\")","def set_score(self, change):\n self._score = self._score + change","def update(self, state, action, nextState, reward):\n \"*** YOUR CODE HERE ***\"\n\n position = state.getPacmanPosition()\n\n temporal_difference = reward + self.discount * self.computeValueFromQValues(nextState) - self.getQValue(state, action)\n\n val = self.getQValue(state, action) + self.alpha * temporal_difference\n\n self.values[(str(position), action)] = val\n\n with open(\"dataRealGoal.txt\", \"a+\") as f:\n f.write(str(position) + \"|\" + action + \"|\" + str(val) + \"\\n\")","def update_value(self, reward):\n\t\tval = self.value\n\t\tval = val + ((reward - val)/self.visited)\n\t\tself.value = val","def prob_update(self):\n pass","def update(self, game):\n super().update(game)\n self.nn_def.set_score(self.score)","def update(self):\n\n # get states, actions, rewards and total timesteps from memory\n states, actions, R, T = self.memory.get()\n n_ep = len(R)\n\n # compute value estimates for the states\n v = self.critic(states)\n\n # compute advantages (using GAE) and rewards to go\n A, rtg = utils.gae_rtg((R, v, T), self.gam, self.lam)\n\n # store the initial version of both the policy and the log probs of the\n # actions for later comparison with the future versions (needed for PPO)\n policy_old = copy.deepcopy(self.policy)\n log_probs_old = policy_old(states).log_prob(actions)\n\n # sample from a batch of experiences\n # (\"_\" subscript indicates \"sampled from\")\n for (v_, A_, rtg_, log_probs_old_), i in utils.sample_batch((v, A, rtg, log_probs_old), self.batch_size, self.policy_updates):\n log_probs_ = self.policy(states).log_prob(actions)[i]\n\n # estimate ratio between the new log probs and the old ones\n r_ = torch.exp(log_probs_ - log_probs_old_)\n\n l_1 = r_ * A_\n l_2 = torch.clamp(r_, 1-self.eps, 1+self.eps) * A_\n\n # TODO: implement entropy\n # TODO: merge policy and critic\n\n # surragate loss function for PPO\n l_clip = -torch.mean(torch.min(l_1, l_2))\n\n # update the policy\n self.policy_optimizer.zero_grad()\n l_clip.backward(retain_graph=True)\n self.policy_optimizer.step()\n\n # sample a batch of value estimates and the corresponding rewards to go\n # to update the value function.\n for (v_, rtg_), _ in utils.sample_batch((v, rtg), self.batch_size, self.v_updates):\n # compute the loss\n critic_loss = F.mse_loss(v_, rtg_)\n\n # update the critic\n self.critic_optimizer.zero_grad()\n critic_loss.backward(retain_graph=True)\n self.critic_optimizer.step()\n\n # clear the memory. PPO is an On-Policy method so we don't need these\n # memories anymore\n self.memory.clear()\n\n # return the loss of the value function for display\n return F.mse_loss(v, rtg)","def update(self, state, action, nextState, reward):\n \"*** YOUR CODE HERE ***\"\n diff = reward + self.discount * self.computeValueFromQValues(nextState) - self.getQValue(state, action)\n for feature_name, feature_value in self.featExtractor.getFeatures(state, action).iteritems():\n self.weights[feature_name] += self.alpha * diff * feature_value","def update(self, state, action, nextState, reward):\n \"*** YOUR CODE HERE ***\"\n diff = reward + self.discount * self.computeValueFromQValues(nextState) - self.getQValue(state, action)\n for feature_name, feature_value in self.featExtractor.getFeatures(state, action).iteritems():\n self.weights[feature_name] += self.alpha * diff * feature_value","def updateVisitStatistics(self, s, a, s_) :\n self.N[s, a, s_] += 1\n self.Ntotal[s, a] += 1\n self.PHat[s, a] = self.N[s, a] / self.Ntotal[s, a]\n self.omega[s, a] = confidenceRadius(self.mdp, self.Ntotal[s, a], self.delta_)","def update(self, state, action, nextState, reward):\n \"*** YOUR CODE HERE ***\"\n\n position = state.getPacmanPosition()\n\n temporal_difference = reward + self.discount * self.computeValueFromQValues(nextState) - self.getQValue(state, action)\n\n val = self.getQValue(state, action) + self.alpha * temporal_difference\n\n self.values[(str(position), action)] = val\n\n with open(\"penalty.txt\", \"a+\") as f:\n f.write(str(position) + \"|\" + action + \"|\" + str(val) + \"\\n\")","def update_state(self, a, obs, t):\n \n self.update_weights(a, obs, t) # only update weights, not particles \n self.update_running_average_weights(t) \n return None","def _adjust_score(self, my_choice, their_choice):\n self._score += p.params['score_matrix'][my_choice][their_choice]\n self._score -= p.params['loss_per_tick']","def updateToplogy(self):\r\n raise NotImplementedError","def update(self, state, action, nextState, reward):\n \"*** YOUR CODE HERE ***\"\n # print \"update\"\n oldValue = self.getQValue(state, action)\n sample = reward + self.discount*self.computeValueFromQValues(nextState)\n self.qValues[(state, action)] = (1-self.alpha)*oldValue + self.alpha*(sample)","def update(self, state, action, nextState, reward):\n \"*** YOUR CODE HERE ***\"\n feature_dictionary = self.featExtractor.getFeatures(state, action)\n difference = (reward + self.discount * self.computeValueFromQValues(nextState)) - self.getQValue(state, action)\n\n for feature in feature_dictionary:\n self.weights[feature] += self.alpha * difference * feature_dictionary[feature]\n\n #if self.epsilon > self.epsilon_min:\n # self.epsilon *= self.epsilon_decay","def update(self, initial, follows):","def update(self, state, action, nextState, reward):\n # print \"Update\"\n difference = (reward + self.discount*self.compValFromState(nextState)) - self.getQValue(state, action)\n features = self.featExtractor.getFeatures(state, self.index)\n #print \"features\", features, \"difference\", difference, \"weights\", self.weights\n for key in self.weights:\n self.weights[key] = self.alpha * difference * features[key]","def increase(self, points):\n self.score += points","def tell(self, observation):\n self.time += 1\n new_distribution = [0] * self.num_states\n for s1 in range(self.num_states):\n sensor_term = self.sensor_model(observation, s1)\n prior = 0\n for s0 in range(self.num_states):\n prior += self.transition_model(s0, s1) * self.distribution[s0]\n new_distribution[s1] = sensor_term * prior\n\n self.distribution = new_distribution\n self.distribution = [x / float(sum(self.distribution)) for x in self.distribution]","def update(self, steps, rewards, i_episode):\n self.total_steps += steps\n self.score = sum(rewards)\n self.scores_window.append(self.score)\n self.scores.append(self.score)\n self.avg_score = np.mean(self.scores_window)\n self.avg_scores.append(self.avg_score)\n self.std_dev = np.std(self.scores_window)\n # update best average score\n if self.avg_score > self.best_avg_score and i_episode > 100:\n self.best_avg_score = self.avg_score","def update(self, state, action, nextState, reward):\n \"\"\"Description:\n Use Q-Learning algoritm in slide 58 of MDP\n \"\"\"\n \"\"\" YOUR CODE HERE \"\"\"\n maxQns = self.getValue(nextState) # get max q-value of next state\n if maxQns == None:\n maxQns = 0\n Qsa = self.getQValue(state, action) #self.qValues[(state, action)]\n difference = reward + self.discountRate * maxQns - Qsa\n self.qValues[(state, action)] += self.alpha * difference\n \n self.vitCount[(state, action)] += 1\n \"\"\" END CODE \"\"\"","def take_test(exam, student):\n\n student.score = exam.administer()","def update(self, obs, actions, rewards, new_obs):\n pass","def update_fit(self, X, y):\n pass","def increase_learning(self, factor):\n pass","def measure(self, imgage, previous=None):","def update(experience_buffer, returns):\n rewards = np.array(experience_buffer[2])\n discount_rewards = rewards * (FLAGS.GAMMA ** np.arange(len(rewards)))\n current_return = discount_rewards.sum()\n returns.append(current_return)\n returns = returns[-100:] # Get recent 100 returns.\n baseline = sum(returns) / len(returns) # Baseline is the average of 100 returns.\n sess.run(train_op, {observation_: experience_buffer[0],\n action_: experience_buffer[1],\n advantage_: current_return - baseline}) \n return returns","def update(self, s, a, y):\r\n features = self.featurize_state(s)\r\n self.models[a].partial_fit([features], [y])","def update(self, state, action, nextState, reward):\n \"*** YOUR CODE HERE ***\"\n feature_dictionary = self.featExtractor.getFeatures(state, action)\n difference = (reward + self.discount * self.computeValueFromQValues(nextState)) - self.getQValue(state, action)\n\n for feature in feature_dictionary:\n self.weights[feature] += self.alpha * difference * feature_dictionary[feature]","def update(self, strategy):\n if strategy.experience.current_experience <= self._current_experience:\n TopkAccuracyPluginMetric.update(self, strategy)","def estimate(values, target):\n\n # next time\n # diff(values)\n\n\n return 1.","def update_policy(self):\n self.optimizer.step()\n self.optimizer.zero_grad()","def update(self, state, action, nextState, reward):\n \"*** YOUR CODE HERE ***\"\n\n temporal_difference = reward + self.discount * self.computeValueFromQValues(nextState) - self.getQValue(state, action)\n\n val = self.getQValue(state, action) + self.alpha * temporal_difference\n\n self.values[(str(state), action)] = val","def update_score(self, engine, *args):\n #pdb.set_trace()\n self.score_label.text = \"Gold: {}/{}\".format(str(engine.score),\n str(engine.win_score))","def refresh(self):\n self.reward = 0\n self.score = 0","def adjust_score(self):\n self.score += game.temporary_score","def test_update_goal(self):\n pass","def testUpdate(self):\n gen = self.gen\n prof = self.profile\n\n # Make sure attributes get updated with a change in the calculation\n # points.\n x = arange(0, 9, 0.1)\n prof.setCalculationPoints(x)\n self.assertTrue(gen._value is None)\n val = gen.value\n self.assertTrue(array_equal(x, prof.ycalc))\n self.assertTrue(array_equal(prof.x, prof.ycalc))\n self.assertTrue(array_equal(val, prof.ycalc))\n self.assertTrue(array_equal(gen._value, prof.ycalc))\n\n # Make sure attributes get updated with a new profile.\n x = arange(0, 8, 0.1)\n prof = Profile()\n prof.setCalculationPoints(x)\n gen.setProfile(prof)\n self.assertTrue(gen._value is None)\n val = gen.value\n self.assertTrue(array_equal(x, prof.ycalc))\n self.assertTrue(array_equal(prof.x, prof.ycalc))\n self.assertTrue(array_equal(val, prof.ycalc))\n self.assertTrue(array_equal(gen._value, prof.ycalc))\n return","def increase_score(self):\n self.score += 1","def create_estimated_score( X_new\n ,Y_pred\n ,base\n ,time_signature_input_file\n ,key_signature_input_file\n ,score_title\n ,composer\n ):\n\n # Debug info:\n #print(\"\\n\\n\")\n #print(\"Estimated output in notes (Notename, octave and quarterLength):\")\n #for r in Y_pred:\n #\n # # round to a 0.25 resolution because input used 1/4 notes\n # t=r[2]\n # BASE=0.25\n # v=t + (BASE - t) % BASE\n # print(nc.getNoteName(int(round(r[0])), enharmonic=False),int(round(r[1])), v)\n\n\n # *** Create the score with estimated notes ***\n # *********************************************\n # https://web.mit.edu/music21/doc/usersGuide/usersGuide_06_stream2.html\n estimatedScore = m.stream.Stream()\n\n # Set Meta Data in estimated score\n meta_data = m.metadata.Metadata()\n meta_data.title = score_title\n today = date.today()\n # YYYY/mm/dd\n d1 = today.strftime(\"%d/%m/%Y\")\n meta_data.date = str(d1)\n meta_data.composer = composer+\" (\"+str(d1)+\")\"\n\n upperStaffClef=m.clef.TrebleClef()\n lowerStaffClef=m.clef.BassClef()\n\n myPart = m.stream.Part()\n myPart_UpperStaff = m.stream.Part()\n # set Clef UpperStaff\n myPart_UpperStaff.append(upperStaffClef)\n\n # set TimeSignature UpperStaff\n myPart_UpperStaff.append(time_signature_input_file)\n \n # set keySignature UpperStaff\n myPart_UpperStaff.append(key_signature_input_file)\n \n myPart_LowerStaff = m.stream.Part()\n # set Clef UpperStaff\n myPart_LowerStaff.append(lowerStaffClef)\n\n # set TimeSignature LowerStaff\n myPart_LowerStaff.append(time_signature_input_file)\n \n # set keySignature LowerStaff\n myPart_LowerStaff.append(key_signature_input_file)\n\n # Do not use a Measure object\n # If you use a Time Signature object without a Measure object\n # when adding a notes, to a stream, measures are filled\n # automatically bases on note lengths\n myNote = m.note.Note()\n\n myPart_UpperStaff.partName=\"Piano Upper\"\n myPart_LowerStaff.partName=\"Piano Lower\"\n \n print(\"\\n\\n\")\n print(\"process measures\")\n itrNote = m.note.Note()\n if (X_new.shape[0] == Y_pred.shape[0]):\n # Normal Score\n cnt=0 # counter to sync X and Y (sync time and Notes)\n curMeasure=1\n noteCount=0\n for e in X_new:\n \n # Decoding Y_pred: get note properies \n # Do the encoding as inverse of the decoding (see above) \n note_properties = Y_pred[cnt]\n #print(\"!!! note_properties[\", cnt, \"]\", note_properties)\n curNoteName=nc.getNoteName(int(round(note_properties[0])), enharmonic=False)\n print(\"curNoteName\", curNoteName)\n curNoteOctave = int(round(note_properties[1]))\n #print(\"curNoteOctave\", curNoteOctave)\n \n # Process quarterDuration\n curNotequarterDuration = roundTo(note_properties[2], base)\n \n itrMeasure=int(e[0])\n itrOffset=e[1]\n print(\"ToDo itrMeasure=\", itrMeasure, \"itrOffset:\", itrOffset)\n \n myNote=m.note.Note( name=curNoteName\n ,quarterLength=curNotequarterDuration\n ,octave=curNoteOctave\n ,offset=itrOffset\n #,type=\"quarter\" # use quarterLength or type not both\n )\n \n # if you use a time signature object without a measure object then because of\n # the time signature measures are filled automatically by notes based on\n # its note duration\n myPart_UpperStaff.insert(cnt, myNote) \n noteCount=noteCount+1 \n cnt=cnt+1\n print(\"cnt:\", cnt) \n else:\n # Unbalanced Score\n print(\"Program error: Score not balanced\") \n \n estimatedScore.insert(0, meta_data)\n estimatedScore.insert(1, myPart_UpperStaff)\n \n \n # *** Add a dummy LowerStaff with a dummy rest to create a Grand piano staff ***\n # When more staves are used, all staves\n # must be filled, before append to the total stream,\n # otherwise you get a corrupted stream when\n # empty staves are added to the total stream.\n dummyRest = m.note.Rest()\n dummyRest.duration.type='quarter'\n myPart_LowerStaff.insert(cnt, dummyRest)\n # If you do not want a grand staff comment statement below \n # ToDo problem with creating lowerStaff !!!!!!!!!!!!!!!!!!!!!!\n ##estimatedScore.insert(2, myPart_LowerStaff)\n \n return(estimatedScore) # create_estimated_score","def _update(\n self,\n measurements,\n observer_matrix,\n measurement_noise,\n time_diff_s\n ):\n # Prediction step\n transition = self._prediction_step(time_diff_s)\n\n # Update uncertainty\n # P = A * P * A' + Q\n self._covariance_matrix = \\\n transition * self._covariance_matrix * transition.transpose() \\\n + self._process_noise\n\n # Compute the Kalman gain\n # K = P * H' * inv(H * P * H' + R)\n hphtr = (\n observer_matrix\n * self._covariance_matrix\n * observer_matrix.transpose()\n + measurement_noise\n )\n try:\n hphtri = hphtr.getI()\n except numpy.linalg.linalg.LinAlgError:\n for diagonal_index in range(len(hphtr)):\n diagonal_value = hphtr[diagonal_index].item(diagonal_index)\n if diagonal_value == 0.0:\n hphtr[diagonal_index].itemset(diagonal_index, 0.00001)\n hphtri = hphtr.getI()\n\n kalman_gain = \\\n self._covariance_matrix * observer_matrix.transpose() * hphtri\n\n # Determine innovation or residual and update our estimate\n # x = x + K * (z - H * x)\n zhx = measurements - observer_matrix * self._estimates\n heading_d = zhx[2].item(0)\n while heading_d > 180.0:\n heading_d -= 360.0\n while heading_d <= -180.0:\n heading_d += 360.0\n zhx[2].itemset(0, heading_d)\n\n self._estimates = self._estimates + kalman_gain * zhx\n from control.telemetry import Telemetry\n heading_d = Telemetry.wrap_degrees(self._estimates[2].item(0))\n self._estimates[2].itemset(0, heading_d)\n\n # Update the covariance\n # P = (I - K * H) * P\n self._covariance_matrix = (\n numpy.identity(len(kalman_gain)) - kalman_gain * observer_matrix\n ) * self._covariance_matrix\n\n assert len(self._estimates) == 4 and len(self._estimates[0]) == 1, \\\n 'Estimates should be size 4x1 but is {}x{} after update'.format(\n len(self._estimates),\n len(self._estimates[0])\n )","def update(self, state, y):\n y_pred = self.model(torch.Tensor(state))\n loss = self.criterion(y_pred, Variable(torch.Tensor(y)))\n self.optimizer.zero_grad()\n loss.backward()\n self.optimizer.step()","def horde_step(self, observation):","def act(self, state, eps=0.):","def set_offensive_ratio(self):\n bx = self.get_standard_stats()\n team = self.get_team_stats()\n opp_team = self.get_opp_team_stats()\n if bx[\"minutes\"] > 0 and (bx[\"t2p_int\"] + bx[\"t3p_int\"]) > 0:\n fgm = bx[\"t2p_conv\"] + bx[\"t3p_conv\"]\n fga = bx[\"t2p_int\"] + bx[\"t3p_int\"]\n team_fgm = team[\"t2p_conv\"] + team[\"t3p_conv\"]\n team_fga = team[\"t2p_int\"] + team[\"t3p_int\"]\n team_points = team[\"t2p_conv\"]*2 + team[\"t3p_conv\"]*3 + team[\"tl_conv\"]\n points = bx[\"t2p_conv\"]*2 + bx[\"t3p_conv\"]*3 + bx[\"tl_conv\"]\n\n try:\n qAST = (Decimal(bx[\"minutes\"] / (team[\"minutes\"] / 5)) * (Decimal('1.14') * Decimal((team[\"assists\"] - bx[\"assists\"]) / team_fgm))) + \\\n Decimal((((team[\"assists\"] / team[\"minutes\"]) * bx[\"minutes\"] * 5 - bx[\"assists\"]) / ((team_fgm / team[\"minutes\"]) * bx[\"minutes\"] * 5 - fgm)) * (1 - (bx[\"minutes\"] / (team[\"minutes\"] / 5))))\n except ZeroDivisionError:\n print(BCOLORS.WARNING + \"Error: División por cero\" + BCOLORS.ENDC)\n qAST = 1\n except InvalidOperation:\n print(BCOLORS.WARNING + \"Error: Invalid Operation\" + BCOLORS.ENDC)\n qAST = 1\n\n fg_part = fgm * (1 - Decimal('0.5') * Decimal((points - bx[\"tl_conv\"]) / (2 * fga)) * qAST)\n\n try:\n ast_part = Decimal('0.5') * Decimal(((team_points - team[\"tl_conv\"]) - (points - bx[\"tl_conv\"])) / (2*(team_fga - fga))) * bx[\"assists\"]\n except ZeroDivisionError:\n print(BCOLORS.WARNING + \"Error: División por cero\" + BCOLORS.ENDC)\n ast_part = 0\n\n if bx[\"tl_int\"] > 0:\n ft_part = Decimal(1 - (1 - (bx[\"tl_conv\"] / bx[\"tl_int\"]))**2) * Decimal('0.4') * bx[\"tl_int\"]\n else:\n ft_part = 0\n team_scoring_poss = Decimal(team_fgm + Decimal(1 - (1 - (team[\"tl_conv\"] / team[\"tl_int\"]))**2) * team[\"tl_int\"] * Decimal('0.4'))\n try:\n team_orb_percentage = Decimal(team[\"reb_of\"] / (team[\"reb_of\"] + ((opp_team[\"reb_def\"] + opp_team[\"reb_of\"]) - opp_team[\"reb_of\"])))\n except ZeroDivisionError:\n print(BCOLORS.FAIL + \"Error: División por cero\" + BCOLORS.ENDC)\n team_orb_percentage = 0\n except InvalidOperation:\n print(BCOLORS.FAIL + \"Error: Invalid Operation\" + BCOLORS.ENDC)\n team_orb_percentage = 0\n\n team_play_percentage = Decimal(team_scoring_poss / (team_fga + team[\"tl_int\"] * Decimal('0.4') + team[\"turnovers\"]))\n try:\n team_orb_weight = ((1 - team_orb_percentage) * team_play_percentage) / ((1 - team_orb_percentage) * team_play_percentage + team_orb_percentage * (1 - team_play_percentage))\n except InvalidOperation:\n print(BCOLORS.FAIL + \"Error: Invalid Operation\" + BCOLORS.ENDC)\n team_orb_weight = 0\n\n orb_part = bx[\"reb_of\"] * team_orb_weight * team_play_percentage\n\n fg_x_poss = (fga - fgm) * (1 - Decimal('1.07') * team_orb_percentage)\n if bx[\"tl_conv\"] > 0:\n ft_x_poss = Decimal((1 - (bx[\"tl_conv\"] / bx[\"tl_int\"]))**2) * Decimal('0.4') * bx[\"tl_int\"]\n else:\n ft_x_poss = Decimal(1 - (bx[\"tl_conv\"] / 1)**2) * Decimal('0.4') * bx[\"tl_int\"]\n try:\n sc_poss = (fg_part + ast_part + ft_part) * (1 - (team[\"reb_of\"] / team_scoring_poss) * team_orb_weight * team_play_percentage) + orb_part\n except InvalidOperation:\n print(BCOLORS.FAIL + \"Error: Invalid Operation\" + BCOLORS.ENDC)\n sc_poss =0\n\n tot_poss = sc_poss + fg_x_poss + ft_x_poss + bx[\"turnovers\"]\n\n pprod_fg_part = 2 * (fgm + Decimal('0.5') * bx[\"t3p_conv\"]) * (1 - Decimal('0.5') * Decimal((points - bx[\"tl_conv\"]) / (2 * fga)) * qAST)\n\n try:\n pprod_ast_part = 2 * ((team_fgm - fgm + Decimal('0.5') * (team[\"t3p_conv\"] - bx[\"t3p_conv\"])) / (team_fgm - fgm)) * Decimal('0.5') * Decimal(((team_points - team[\"tl_conv\"]) - (points - bx[\"tl_conv\"])) / (2 * (team_fga - fga))) * bx[\"assists\"]\n except:\n pprod_ast_part = 0\n\n pprod_orb_part = bx[\"reb_of\"] * team_orb_weight * team_play_percentage * (team_points / (team_fgm + Decimal(1 - (team[\"tl_conv\"] / team[\"tl_int\"])**2) * Decimal('0.4') * team[\"tl_int\"]))\n try:\n pprod = (pprod_fg_part + pprod_ast_part + bx[\"tl_conv\"]) * (1 - (team[\"reb_of\"] / team_scoring_poss) * team_orb_weight * team_play_percentage) + pprod_orb_part\n except InvalidOperation:\n print(BCOLORS.FAIL + \"Error: Invalid Operation\" + BCOLORS.ENDC)\n pprod = 0\n\n try:\n result = 100 * (pprod / tot_poss)\n except InvalidOperation:\n print(BCOLORS.FAIL + \"Error: Invalid Operation\" + BCOLORS.ENDC)\n result = 0\n\n # print(\"fgm: \" + str(fgm))\n # print(\"fga: \" + str(fga))\n # print(\"team_fgm: \" + str(team_fgm))\n # print(\"team_fga: \" + str(team_fga))\n # print(\"team_points: \" + str(team_points))\n # print(\"points: \" + str(points))\n # print(\"qAST: \" + str(qAST))\n # print(\"fg_part: \" + str(fg_part))\n # print(\"ast_part: \" + str(ast_part))\n # print(\"ft_part: \" + str(ft_part))\n # print(\"team_scoring_poss: \" + str(team_scoring_poss))\n # print(\"team_orb_percentage: \" + str(team_orb_percentage))\n # print(\"team_play_percentage: \" + str(team_play_percentage))\n # print(\"team_orb_weight: \" + str(team_orb_weight))\n # print(\"orb_part: \" + str(orb_part))\n # print(\"fg_x_poss: \" + str(fg_x_poss))\n # print(\"ft_x_poss: \" + str(ft_x_poss))\n # print(\"sc_poss: \" + str(sc_poss))\n # print(\"tot_poss: \" + str(tot_poss))\n # print(\"pprod_fg_part: \" + str(pprod_fg_part))\n # print(\"pprod_ast_part: \" + str(pprod_ast_part))\n # print(\"pprod_orb_part: \" + str(pprod_orb_part))\n # print(\"pprod: \" + str(pprod))\n # print(\"result: \" + str(result) + \"\\n\")\n else:\n result = 0.00\n\n self.ortg = \"%.2f\" % round(result, 2)\n if Decimal(self.ortg) < 0 or Decimal(self.ortg) >= 1000:\n \"\"\"For one game, maybe we've got a negative result or one so big, so, for just only a game, we get the ORTG \n using team's formula\"\"\"\n print(BCOLORS.OKBLUE + \"ORTG negativo o superior a 1000 para jugadora => recalculamos a través de la fórmula de equipo\" + BCOLORS.ENDC)\n bx = self.get_standard_stats()\n result = round((bx[\"t2p_conv\"]*2 + bx[\"t3p_conv\"]*3 + bx[\"tl_conv\"])/self.get_team_possessions(), 2)\n self.ortg = \"%.2f\" % result","def change_score(self, change: float=1):\n self._score += change","def _adjust(self):\n self.updateView()\n\n self.setDescription(\n f\"Smoothing Factor: x{self.smoothingFactor()}\\n\"\n f\"Method: {self.method()}\\n\"\n f\"Smoother type: {self.smoother_type_to_name[self.smootherType()]}\"\n )","def update(self, sequence):\n if len(sequence)==2:\n self.trace[sequence[0][0]] = self.gamma * self.lam\n self.trace[sequence[-1][0]] = 1\n for state,reward in sequence:\n self.expected[state] += self.alpha * self.delta * self.trace[state]\n self.trace[state] *= self.gamma * self.lam","def write_estimate(self, table, variable, code, datum):\n try:\n division = Division.objects.get(code='{}{}'.format(\n datum['state'],\n datum['county']\n ), level=self.COUNTY_LEVEL)\n CensusEstimate.objects.update_or_create(\n division=division,\n variable=variable,\n defaults={\n 'estimate': datum[code] or 0\n }\n )\n except:\n print('ERROR: {}, {}'.format(datum['NAME'], datum['state']))","def simulate(self):\n self.round += 1","def _update_solved_count(delta, task, profile, save_task=True, save_profile=True):\n if delta == 0:\n return\n\n task.solved_count += delta\n if save_task:\n task.save()\n\n profile.solved_count += delta\n profile.update_diff_distribution(task, delta)\n if save_profile:\n profile.save()","def change_points(self, dp):\n\t\tself._points += dp","def updateG(self, dt):\n\t\tself.tissue.G.project( (self.initial * dt + Identity(3)) * self.tissue.G )","def change_score(self, change: float = 1):\n self._score += change","def update(self):\n with torch.no_grad():\n self.preprocess_rollout()\n \n # DEEP-RL TUTORIALS: КОСТЫЛЬ\n #self.advantages = self.returns[:-1] - self.values[:-1]\n #self.advantages = (self.advantages - self.advantages.mean()) / (self.advantages.std() + 1e-5)\n \n # going through rollout several (config.epochs) times:\n for epoch in range(self.config.epochs):\n # TODO: drop last = False? What if there is 1 sample?\n sampler = BatchSampler(SubsetRandomSampler(range(self.env.num_envs * self.config.rollout)), self.config.batch_size, drop_last=False)\n \n for indices in sampler:\n # retrieving new batch as part of rollout\n self.returns_b = self.returns.view(-1, *self.config.value_repr_shape)[indices]\n self.old_values_b = self.values.view(-1, *self.config.value_repr_shape)[indices]\n self.old_action_log_probs_b = self.action_log_probs.view(-1)[indices]\n #self.advantages_b = self.advantages.view(-1)[indices] # КОСТЫЛЬ\n \n # calculating current value, action_log_prob, entropy\n dist, self.values_b = self.policy(self.observations.view(-1, *self.config.observation_shape)[indices])\n self.values_b = self.values_b.squeeze() # IMPORTANT ([32] - [32, 1] problem)\n self.action_log_probs_b = dist.log_prob(self.actions.view(-1, *self.config.actions_shape)[indices])#.sum(dim=-1) \n self.entropy_b = dist.entropy()#.sum(dim=-1)\n \n # performing step\n self.gradient_ascent_step()","def _measurement_update(self, y_i, h_tilde, pert_m, k_gain, cov_m):\n innovation = np.subtract(np.transpose(y_i),\n np.matmul(h_tilde, pert_m))\n pert_p = np.add(pert_m, np.matmul(k_gain, innovation))\n\n L = np.subtract(np.identity(len(self.istate)),\n np.matmul(k_gain, h_tilde))\n\n cov_p = np.matmul(L, cov_m)\n\n return (cov_p, pert_p)","def update(self, history):\n\n N = history.nsequence_histories\n\n sequences = history.sequence_histories\n\n variances = np.var(sequences, axis=2)\n\n means = np.mean(sequences, axis=2)\n\n withinChainVariances = np.mean(variances, axis=0)\n\n betweenChainVariances = np.var(means, axis=0) * N\n\n varEstimate = (1 - 1.0 / N) * withinChainVariances + (\n 1.0 / N\n ) * betweenChainVariances\n\n if np.abs(withinChainVariances).all() > 0:\n self._R = np.sqrt(varEstimate / withinChainVariances)\n else:\n self._R = np.random.uniform(0.1, 0.9, withinChainVariances.__len__())\n\n # self._W can be a float or an array, in both cases I want to exclude 0.0 values\n try:\n if self._W != 0.0:\n if (withinChainVariances / self._W).all() <= 0.0:\n self._WChange = np.abs(np.log(1.1) ** 0.5)\n else:\n self._WChange = np.abs(\n np.log(withinChainVariances / self._W) ** 0.5\n )\n else:\n self._WChange = np.abs(np.log(1.1) ** 0.5)\n except ValueError:\n if self._W.all() != 0.0:\n if (withinChainVariances / self._W).all() <= 0.0:\n self._WChange = np.abs(np.log(1.1) ** 0.5)\n else:\n # log of values less then 1 gives a negative number, where I replace these values to get square working\n tmp_WChDV = varEstimate / self._V\n tmp_WChDV[tmp_WChDV < 1.0] = np.random.uniform(1, 5, 1)\n self._WChange = np.abs(np.log(tmp_WChDV) ** 0.5)\n else:\n self._WChange = np.abs(np.log(1.1) ** 0.5)\n\n self._W = withinChainVariances\n\n if (varEstimate / self._V).any() <= 0.0 or np.isnan(\n varEstimate / self._V\n ).any():\n self._VChange = np.abs(np.log(1.1) ** 0.5)\n else:\n # log of values less then 1 gives a negative number, where I replace these values to get square working\n tmp_EsDV = varEstimate / self._V\n tmp_EsDV[tmp_EsDV < 1.0] = np.random.uniform(1, 5, 1)\n self._VChange = np.abs(np.log(tmp_EsDV) ** 0.5)\n\n self._V = varEstimate","def _learn(self, state):\n p_state, p_action = self.prev\n if p_state is None:\n return\n self.Q[p_state][p_action] = self.learning_rate * (self.R(state) + self.discount * max(self.Q[state].values())) - self.Q[p_state][p_action]","def step(self, estim: EstimBase) -> None:\n _, results = estim.get_last_results()\n results = [self.to_metrics(res) for res in results]\n self.metrics.extend(results)\n if len(self.metrics) >= len(self.population):\n self.population = self._mating(self.population)\n self.metrics = []","def set_score(self, points):\n self.score += points","def estimate_ate2(Y, X, treatment_column, model, label_column, variable_name, propensity_name):\n\n propensity = X[propensity_name]\n X = X[variable_name]\n gold = Y[label_column]\n num_of_units = gold.shape[0]\n\n part_one = (1/num_of_units)*sum((gold * X[treatment_column])/propensity)\n print(\"part one2 is: \", part_one)\n part_two = (1 / num_of_units) * sum((gold * (1-X[treatment_column])) / (1-propensity))\n print(\"part two2 is: \", part_two)\n ATE = part_one - part_two\n\n return ATE","def one_step_update(model, posterior_tm1, Y_t):\n prediction = model.transmat_ @ posterior_tm1\n likelihood = np.exp(model._compute_log_likelihood(Y_t))\n posterior_t = prediction * likelihood\n return posterior_t","def vanilaScore(self,attended,state,W):","def take_test(exam, student):\n\n student.score = exam.administer()\n return student.score","def update(self, state, action, nextState, reward):\n \"*** YOUR CODE HERE ***\"\n features = self.featExtractor.getFeatures(state,action)\n\n learning_rate = self.alpha #gives us the learning rate\n\n temporary_QValue = self.getQValue(state,action) #to get the Q value of the state,action pair\n\n nextState_QValue = self.getValue(nextState) #to get the Q value of the landing state when taken action a and state s\n\n discount_factor = self.discount #to get the gamma/ discount factor\n\n weight = self.weights\n\n Q_Value = 0\n\n difference = (reward + discount_factor * nextState_QValue ) - (temporary_QValue) #refer to README_Reinforcement.txt for the formula\n\n for each_feature in features:\n\n #refer to README_Reinforcement.txt for the formula at line 20\n weight[each_feature] = weight[each_feature] + learning_rate * difference * features[each_feature]\n\n #util.raiseNotDefined()","def update(self,**kwargs):\n self._update_from_kwargs(**kwargs)\n #--- calc estimated chops from chop length\n self._calc_estimated_chops_from_timepoints()\n #--- adjust chops for stimulusresponse\n self._adjust_chops_for_stimulus_response()\n #--- update annotations\n self._update_annotations()\n #--- get info\n if self.verbose:\n self.GetInfo()\n #--- show plot\n if self.show:\n self.show_chops()","def test_smoohted_LM(self):\n\t\tprecision = 10**-8\n\t\t\t\t \n\t\tif self.n == 1:\n\t\t\t\t \n\t\t\tP_sum = sum(self.estimate_smoothed_prob('', w) for w in self.vocab)\n\t\t\t\n\t\t\tassert abs(1.0 - P_sum) < precision, 'Probability mass does not sum up to one.'\n\t\t\t\t \n\t\telif self.n == 2:\n\t\t\thistories = ['the', 'in', 'at', 'blue', 'white']\n\t\t\t\t \n\t\t\tfor h in histories:\n\t\t\t\t \n\t\t\t\tP_sum = sum(self.estimate_smoothed_prob(h, w) for w in self.vocab)\n\t\t\t\t\n\t\t\t\tassert abs(1.0 - P_sum) < precision, 'Probability mass does not sum up to one for history' + h\n\t\t\t\t\t \n\t\tprint('TEST SUCCESSFUL!')\n\t\t# YOUR CODE HERE","def habit_update(self, s, u_idx, r_disc):\n\n r_exp = s.dot(self.Q[u_idx]) # expected reward of state - action\n v_upd = self.alpha * (r_disc - r_exp) # value update\n self.Q[u_idx] += v_upd * s # update by weighted state estimate","def score(self):","def test_update_story_timestamp(self):\n title = ('Transportation Challenges Limit Education Choices for '\n 'Denver Parents')\n summary = \"\"\"\n Many families in the Denver metro area use public\n transportation instead of a school bus because for them, a\n quality education is worth hours of daily commuting. Colorado's\n school choice program is meant to foster educational equity,\n but the families who benefit most are those who have time and\n money to travel. Low-income families are often left in a lurch.\n \"\"\"\n byline = \"Mile High Connects\"\n story = create_story(title=title, summary=summary, byline=byline)\n section = create_section(title=\"Test Section 1\", story=story)\n sleep(2)\n section.save()\n self.assertNowish(story.last_edited)"],"string":"[\n \"def assign_estimate(self, estimate):\\r\\n update_story_url =\\\"https://www.pivotaltracker.com/services/v3/projects/{}/stories/{}?story[estimate]={}\\\".format(self.project_id, self.story_id, estimate)\\r\\n response = _perform_pivotal_put(update_story_url)\",\n \"def estimate(self, estimate):\\n\\n self._estimate = estimate\",\n \"def estimate(self) -> None:\\n pass\",\n \"def update_Q(self, reward):\\n old_estimate = self.q_estimates[self.prev_action]\\n self.q_estimates[self.prev_action] = old_estimate + 1/self.N[self.prev_action] * (reward - old_estimate)\",\n \"def evaluate(self, story):\\n raise NotImplementedError\",\n \"def evaluate(self, story):\\n raise NotImplementedError\",\n \"def evaluate(self, story):\\n raise NotImplementedError\",\n \"def update(self,x): #update the estimate of rewards and number of esteps run\\n\\t\\tself.N += 1\\n\\t\\tself.estimate_mean = (1.0-1.0/self.N)*self.estimate_mean + (1.0/self.N)*x #recurence relation for averages\",\n \"def evaluate(self, story):\\n # DO NOT CHANGE THIS!\\n raise NotImplementedError\",\n \"def run():\\n return estimate(0,1,0)\",\n \"def update_score():\\n pass\",\n \"def test_update_goal_metric(self):\\n pass\",\n \"def evaluate_design(self): # to update the pr object\",\n \"def update(self, state, action, nextState, reward):\\n \\\"\\\"\\\"Description:\\n Use second equation in slide 71 of MDP\\n Adjest weight of active features depend on tranistion \\n \\\"\\\"\\\"\\n \\\"\\\"\\\" YOUR CODE HERE \\\"\\\"\\\"\\n feat = self.featExtractor.getFeatures(state, action)\\n\\n # if weight is empty, then weight will need to initial to 1 for all features\\n # According to which Extractor user choose, weight counter will have equal number of keys.\\n if len(self.weight) == 0:\\n feat = self.featExtractor.getFeatures(state, action)\\n self.weight.incrementAll(feat.keys(), 1)\\n \\n maxQns = self.getValue(nextState)\\n if maxQns == None:\\n maxQns = 0\\n Qsa = self.getQValue(state, action)\\n difference = ( reward + self.discountRate * maxQns ) - Qsa\\n \\n for key in self.weight.keys():\\n self.weight[key] += (self.alpha * difference * feat[key])\\n \\n \\n \\\"\\\"\\\" END CODE \\\"\\\"\\\"\",\n \"def _update_optimizer(self, hyperparameters, score, fit=True):\\n if self.do_maximize:\\n score = -score\\n self.optimizer_result = self.optimizer.tell(hyperparameters, score, fit=fit)\",\n \"def _update(self, bandit): \\n \\n bandit_logs = self.logging[bandit]\\n bandit = bandit.id\\n if not bandit_logs['actions']:\\n estimate = 0 # if not taken till now then 0 is assigned\\n actions = 0\\n else:\\n estimate = bandit_logs['reward'] / bandit_logs['actions'] # if not assigned\\n actions = bandit_logs['actions']\\n self.mu[bandit] = (self.mu_pri[bandit]/self.var_pri[bandit] + actions*estimate/self.var0)/(actions/self.var0 + 1/self.var_pri[bandit])\\n self.var[bandit] = 1/(actions/self.var0 + 1/self.var[bandit])\",\n \"def _update(self, bandit): \\n \\n bandit_logs = self.logging[bandit]\\n bandit = bandit.id\\n estimate = bandit_logs['reward'] / bandit_logs['actions'] # if not assigned\\n actions = bandit_logs['actions']\\n self.mu[bandit] = (self.mu_pri[bandit]/self.var_pri[bandit] + actions*estimate/self.var0)/(actions/self.var0 + 1/self.var_pri[bandit])\\n self.var[bandit] = 1/(actions/self.var0 + 1/self.var[bandit])\",\n \"def update_estimator(self):\\n self.optimizer.step()\\n self.optimizer.zero_grad()\",\n \"def update_estimator(self):\\n self.optimizer.step()\\n self.optimizer.zero_grad()\",\n \"def update_goal(self):\\n pass\",\n \"def update(self, s, a, td_target):\\n features = self.featurize_state(s)\\n self.models[a].partial_fit([features], [td_target]) # recall that we have a seperate funciton for each a \",\n \"def test_update_fitness():\\n herb1 = Herbivore(10)\\n original_fitness = herb1.fitness\\n herb1.feeding(10)\\n nt.assert_not_equal(herb1.fitness, original_fitness)\",\n \"def thesis(self, new_thesis):\\r\\n self.__thesis = 'Thesis: ' + new_thesis\",\n \"def update_score(self):\\n self.score = TurboMQ.calculate_fitness(self.result, self.graph)\",\n \"def _update_step(self, *, observations: types.ObservationsTorch) -> None:\",\n \"def _update_distribution(self, trajectories):\\n costs = trajectories[\\\"costs\\\"].copy()\\n actions = trajectories[\\\"actions\\\"].copy()\\n Q = cost_to_go(costs, self.gamma_seq)\\n best_id = np.argmin(Q, axis = 0)[0]\\n self.mean_action = (1.0 - self.step_size) * self.mean_action +\\\\\\n self.step_size * actions[best_id]\",\n \"def update_percent(self):\",\n \"def stepETAUpdate(build, step, ETA, expectations):\",\n \"def update(self, state, action, nextState, reward):\\n \\\"*** YOUR CODE HERE ***\\\"\\n\\n position = state.getPacmanPosition()\\n\\n temporal_difference = reward + self.discount * self.computeValueFromQValues(nextState) - self.getQValue(state, action)\\n\\n val = self.getQValue(state, action) + self.alpha * temporal_difference\\n\\n self.values[(str(position), action)] = val\\n\\n with open(\\\"dataFakeGoal.txt\\\", \\\"a+\\\") as f:\\n f.write(str(position) + \\\"|\\\" + action + \\\"|\\\" + str(val) + \\\"\\\\n\\\")\",\n \"def update(self, state, action, nextState, reward):\\n \\\"*** YOUR CODE HERE ***\\\"\\n\\n position = state.getPacmanPosition()\\n\\n temporal_difference = reward + self.discount * self.computeValueFromQValues(nextState) - self.getQValue(state, action)\\n\\n val = self.getQValue(state, action) + self.alpha * temporal_difference\\n\\n self.values[(str(position), action)] = val\\n\\n with open(\\\"dataFakeGoal1.txt\\\", \\\"a+\\\") as f:\\n f.write(str(position) + \\\"|\\\" + action + \\\"|\\\" + str(val) + \\\"\\\\n\\\")\",\n \"def set_score(self, change):\\n self._score = self._score + change\",\n \"def update(self, state, action, nextState, reward):\\n \\\"*** YOUR CODE HERE ***\\\"\\n\\n position = state.getPacmanPosition()\\n\\n temporal_difference = reward + self.discount * self.computeValueFromQValues(nextState) - self.getQValue(state, action)\\n\\n val = self.getQValue(state, action) + self.alpha * temporal_difference\\n\\n self.values[(str(position), action)] = val\\n\\n with open(\\\"dataRealGoal.txt\\\", \\\"a+\\\") as f:\\n f.write(str(position) + \\\"|\\\" + action + \\\"|\\\" + str(val) + \\\"\\\\n\\\")\",\n \"def update_value(self, reward):\\n\\t\\tval = self.value\\n\\t\\tval = val + ((reward - val)/self.visited)\\n\\t\\tself.value = val\",\n \"def prob_update(self):\\n pass\",\n \"def update(self, game):\\n super().update(game)\\n self.nn_def.set_score(self.score)\",\n \"def update(self):\\n\\n # get states, actions, rewards and total timesteps from memory\\n states, actions, R, T = self.memory.get()\\n n_ep = len(R)\\n\\n # compute value estimates for the states\\n v = self.critic(states)\\n\\n # compute advantages (using GAE) and rewards to go\\n A, rtg = utils.gae_rtg((R, v, T), self.gam, self.lam)\\n\\n # store the initial version of both the policy and the log probs of the\\n # actions for later comparison with the future versions (needed for PPO)\\n policy_old = copy.deepcopy(self.policy)\\n log_probs_old = policy_old(states).log_prob(actions)\\n\\n # sample from a batch of experiences\\n # (\\\"_\\\" subscript indicates \\\"sampled from\\\")\\n for (v_, A_, rtg_, log_probs_old_), i in utils.sample_batch((v, A, rtg, log_probs_old), self.batch_size, self.policy_updates):\\n log_probs_ = self.policy(states).log_prob(actions)[i]\\n\\n # estimate ratio between the new log probs and the old ones\\n r_ = torch.exp(log_probs_ - log_probs_old_)\\n\\n l_1 = r_ * A_\\n l_2 = torch.clamp(r_, 1-self.eps, 1+self.eps) * A_\\n\\n # TODO: implement entropy\\n # TODO: merge policy and critic\\n\\n # surragate loss function for PPO\\n l_clip = -torch.mean(torch.min(l_1, l_2))\\n\\n # update the policy\\n self.policy_optimizer.zero_grad()\\n l_clip.backward(retain_graph=True)\\n self.policy_optimizer.step()\\n\\n # sample a batch of value estimates and the corresponding rewards to go\\n # to update the value function.\\n for (v_, rtg_), _ in utils.sample_batch((v, rtg), self.batch_size, self.v_updates):\\n # compute the loss\\n critic_loss = F.mse_loss(v_, rtg_)\\n\\n # update the critic\\n self.critic_optimizer.zero_grad()\\n critic_loss.backward(retain_graph=True)\\n self.critic_optimizer.step()\\n\\n # clear the memory. PPO is an On-Policy method so we don't need these\\n # memories anymore\\n self.memory.clear()\\n\\n # return the loss of the value function for display\\n return F.mse_loss(v, rtg)\",\n \"def update(self, state, action, nextState, reward):\\n \\\"*** YOUR CODE HERE ***\\\"\\n diff = reward + self.discount * self.computeValueFromQValues(nextState) - self.getQValue(state, action)\\n for feature_name, feature_value in self.featExtractor.getFeatures(state, action).iteritems():\\n self.weights[feature_name] += self.alpha * diff * feature_value\",\n \"def update(self, state, action, nextState, reward):\\n \\\"*** YOUR CODE HERE ***\\\"\\n diff = reward + self.discount * self.computeValueFromQValues(nextState) - self.getQValue(state, action)\\n for feature_name, feature_value in self.featExtractor.getFeatures(state, action).iteritems():\\n self.weights[feature_name] += self.alpha * diff * feature_value\",\n \"def updateVisitStatistics(self, s, a, s_) :\\n self.N[s, a, s_] += 1\\n self.Ntotal[s, a] += 1\\n self.PHat[s, a] = self.N[s, a] / self.Ntotal[s, a]\\n self.omega[s, a] = confidenceRadius(self.mdp, self.Ntotal[s, a], self.delta_)\",\n \"def update(self, state, action, nextState, reward):\\n \\\"*** YOUR CODE HERE ***\\\"\\n\\n position = state.getPacmanPosition()\\n\\n temporal_difference = reward + self.discount * self.computeValueFromQValues(nextState) - self.getQValue(state, action)\\n\\n val = self.getQValue(state, action) + self.alpha * temporal_difference\\n\\n self.values[(str(position), action)] = val\\n\\n with open(\\\"penalty.txt\\\", \\\"a+\\\") as f:\\n f.write(str(position) + \\\"|\\\" + action + \\\"|\\\" + str(val) + \\\"\\\\n\\\")\",\n \"def update_state(self, a, obs, t):\\n \\n self.update_weights(a, obs, t) # only update weights, not particles \\n self.update_running_average_weights(t) \\n return None\",\n \"def _adjust_score(self, my_choice, their_choice):\\n self._score += p.params['score_matrix'][my_choice][their_choice]\\n self._score -= p.params['loss_per_tick']\",\n \"def updateToplogy(self):\\r\\n raise NotImplementedError\",\n \"def update(self, state, action, nextState, reward):\\n \\\"*** YOUR CODE HERE ***\\\"\\n # print \\\"update\\\"\\n oldValue = self.getQValue(state, action)\\n sample = reward + self.discount*self.computeValueFromQValues(nextState)\\n self.qValues[(state, action)] = (1-self.alpha)*oldValue + self.alpha*(sample)\",\n \"def update(self, state, action, nextState, reward):\\n \\\"*** YOUR CODE HERE ***\\\"\\n feature_dictionary = self.featExtractor.getFeatures(state, action)\\n difference = (reward + self.discount * self.computeValueFromQValues(nextState)) - self.getQValue(state, action)\\n\\n for feature in feature_dictionary:\\n self.weights[feature] += self.alpha * difference * feature_dictionary[feature]\\n\\n #if self.epsilon > self.epsilon_min:\\n # self.epsilon *= self.epsilon_decay\",\n \"def update(self, initial, follows):\",\n \"def update(self, state, action, nextState, reward):\\n # print \\\"Update\\\"\\n difference = (reward + self.discount*self.compValFromState(nextState)) - self.getQValue(state, action)\\n features = self.featExtractor.getFeatures(state, self.index)\\n #print \\\"features\\\", features, \\\"difference\\\", difference, \\\"weights\\\", self.weights\\n for key in self.weights:\\n self.weights[key] = self.alpha * difference * features[key]\",\n \"def increase(self, points):\\n self.score += points\",\n \"def tell(self, observation):\\n self.time += 1\\n new_distribution = [0] * self.num_states\\n for s1 in range(self.num_states):\\n sensor_term = self.sensor_model(observation, s1)\\n prior = 0\\n for s0 in range(self.num_states):\\n prior += self.transition_model(s0, s1) * self.distribution[s0]\\n new_distribution[s1] = sensor_term * prior\\n\\n self.distribution = new_distribution\\n self.distribution = [x / float(sum(self.distribution)) for x in self.distribution]\",\n \"def update(self, steps, rewards, i_episode):\\n self.total_steps += steps\\n self.score = sum(rewards)\\n self.scores_window.append(self.score)\\n self.scores.append(self.score)\\n self.avg_score = np.mean(self.scores_window)\\n self.avg_scores.append(self.avg_score)\\n self.std_dev = np.std(self.scores_window)\\n # update best average score\\n if self.avg_score > self.best_avg_score and i_episode > 100:\\n self.best_avg_score = self.avg_score\",\n \"def update(self, state, action, nextState, reward):\\n \\\"\\\"\\\"Description:\\n Use Q-Learning algoritm in slide 58 of MDP\\n \\\"\\\"\\\"\\n \\\"\\\"\\\" YOUR CODE HERE \\\"\\\"\\\"\\n maxQns = self.getValue(nextState) # get max q-value of next state\\n if maxQns == None:\\n maxQns = 0\\n Qsa = self.getQValue(state, action) #self.qValues[(state, action)]\\n difference = reward + self.discountRate * maxQns - Qsa\\n self.qValues[(state, action)] += self.alpha * difference\\n \\n self.vitCount[(state, action)] += 1\\n \\\"\\\"\\\" END CODE \\\"\\\"\\\"\",\n \"def take_test(exam, student):\\n\\n student.score = exam.administer()\",\n \"def update(self, obs, actions, rewards, new_obs):\\n pass\",\n \"def update_fit(self, X, y):\\n pass\",\n \"def increase_learning(self, factor):\\n pass\",\n \"def measure(self, imgage, previous=None):\",\n \"def update(experience_buffer, returns):\\n rewards = np.array(experience_buffer[2])\\n discount_rewards = rewards * (FLAGS.GAMMA ** np.arange(len(rewards)))\\n current_return = discount_rewards.sum()\\n returns.append(current_return)\\n returns = returns[-100:] # Get recent 100 returns.\\n baseline = sum(returns) / len(returns) # Baseline is the average of 100 returns.\\n sess.run(train_op, {observation_: experience_buffer[0],\\n action_: experience_buffer[1],\\n advantage_: current_return - baseline}) \\n return returns\",\n \"def update(self, s, a, y):\\r\\n features = self.featurize_state(s)\\r\\n self.models[a].partial_fit([features], [y])\",\n \"def update(self, state, action, nextState, reward):\\n \\\"*** YOUR CODE HERE ***\\\"\\n feature_dictionary = self.featExtractor.getFeatures(state, action)\\n difference = (reward + self.discount * self.computeValueFromQValues(nextState)) - self.getQValue(state, action)\\n\\n for feature in feature_dictionary:\\n self.weights[feature] += self.alpha * difference * feature_dictionary[feature]\",\n \"def update(self, strategy):\\n if strategy.experience.current_experience <= self._current_experience:\\n TopkAccuracyPluginMetric.update(self, strategy)\",\n \"def estimate(values, target):\\n\\n # next time\\n # diff(values)\\n\\n\\n return 1.\",\n \"def update_policy(self):\\n self.optimizer.step()\\n self.optimizer.zero_grad()\",\n \"def update(self, state, action, nextState, reward):\\n \\\"*** YOUR CODE HERE ***\\\"\\n\\n temporal_difference = reward + self.discount * self.computeValueFromQValues(nextState) - self.getQValue(state, action)\\n\\n val = self.getQValue(state, action) + self.alpha * temporal_difference\\n\\n self.values[(str(state), action)] = val\",\n \"def update_score(self, engine, *args):\\n #pdb.set_trace()\\n self.score_label.text = \\\"Gold: {}/{}\\\".format(str(engine.score),\\n str(engine.win_score))\",\n \"def refresh(self):\\n self.reward = 0\\n self.score = 0\",\n \"def adjust_score(self):\\n self.score += game.temporary_score\",\n \"def test_update_goal(self):\\n pass\",\n \"def testUpdate(self):\\n gen = self.gen\\n prof = self.profile\\n\\n # Make sure attributes get updated with a change in the calculation\\n # points.\\n x = arange(0, 9, 0.1)\\n prof.setCalculationPoints(x)\\n self.assertTrue(gen._value is None)\\n val = gen.value\\n self.assertTrue(array_equal(x, prof.ycalc))\\n self.assertTrue(array_equal(prof.x, prof.ycalc))\\n self.assertTrue(array_equal(val, prof.ycalc))\\n self.assertTrue(array_equal(gen._value, prof.ycalc))\\n\\n # Make sure attributes get updated with a new profile.\\n x = arange(0, 8, 0.1)\\n prof = Profile()\\n prof.setCalculationPoints(x)\\n gen.setProfile(prof)\\n self.assertTrue(gen._value is None)\\n val = gen.value\\n self.assertTrue(array_equal(x, prof.ycalc))\\n self.assertTrue(array_equal(prof.x, prof.ycalc))\\n self.assertTrue(array_equal(val, prof.ycalc))\\n self.assertTrue(array_equal(gen._value, prof.ycalc))\\n return\",\n \"def increase_score(self):\\n self.score += 1\",\n \"def create_estimated_score( X_new\\n ,Y_pred\\n ,base\\n ,time_signature_input_file\\n ,key_signature_input_file\\n ,score_title\\n ,composer\\n ):\\n\\n # Debug info:\\n #print(\\\"\\\\n\\\\n\\\")\\n #print(\\\"Estimated output in notes (Notename, octave and quarterLength):\\\")\\n #for r in Y_pred:\\n #\\n # # round to a 0.25 resolution because input used 1/4 notes\\n # t=r[2]\\n # BASE=0.25\\n # v=t + (BASE - t) % BASE\\n # print(nc.getNoteName(int(round(r[0])), enharmonic=False),int(round(r[1])), v)\\n\\n\\n # *** Create the score with estimated notes ***\\n # *********************************************\\n # https://web.mit.edu/music21/doc/usersGuide/usersGuide_06_stream2.html\\n estimatedScore = m.stream.Stream()\\n\\n # Set Meta Data in estimated score\\n meta_data = m.metadata.Metadata()\\n meta_data.title = score_title\\n today = date.today()\\n # YYYY/mm/dd\\n d1 = today.strftime(\\\"%d/%m/%Y\\\")\\n meta_data.date = str(d1)\\n meta_data.composer = composer+\\\" (\\\"+str(d1)+\\\")\\\"\\n\\n upperStaffClef=m.clef.TrebleClef()\\n lowerStaffClef=m.clef.BassClef()\\n\\n myPart = m.stream.Part()\\n myPart_UpperStaff = m.stream.Part()\\n # set Clef UpperStaff\\n myPart_UpperStaff.append(upperStaffClef)\\n\\n # set TimeSignature UpperStaff\\n myPart_UpperStaff.append(time_signature_input_file)\\n \\n # set keySignature UpperStaff\\n myPart_UpperStaff.append(key_signature_input_file)\\n \\n myPart_LowerStaff = m.stream.Part()\\n # set Clef UpperStaff\\n myPart_LowerStaff.append(lowerStaffClef)\\n\\n # set TimeSignature LowerStaff\\n myPart_LowerStaff.append(time_signature_input_file)\\n \\n # set keySignature LowerStaff\\n myPart_LowerStaff.append(key_signature_input_file)\\n\\n # Do not use a Measure object\\n # If you use a Time Signature object without a Measure object\\n # when adding a notes, to a stream, measures are filled\\n # automatically bases on note lengths\\n myNote = m.note.Note()\\n\\n myPart_UpperStaff.partName=\\\"Piano Upper\\\"\\n myPart_LowerStaff.partName=\\\"Piano Lower\\\"\\n \\n print(\\\"\\\\n\\\\n\\\")\\n print(\\\"process measures\\\")\\n itrNote = m.note.Note()\\n if (X_new.shape[0] == Y_pred.shape[0]):\\n # Normal Score\\n cnt=0 # counter to sync X and Y (sync time and Notes)\\n curMeasure=1\\n noteCount=0\\n for e in X_new:\\n \\n # Decoding Y_pred: get note properies \\n # Do the encoding as inverse of the decoding (see above) \\n note_properties = Y_pred[cnt]\\n #print(\\\"!!! note_properties[\\\", cnt, \\\"]\\\", note_properties)\\n curNoteName=nc.getNoteName(int(round(note_properties[0])), enharmonic=False)\\n print(\\\"curNoteName\\\", curNoteName)\\n curNoteOctave = int(round(note_properties[1]))\\n #print(\\\"curNoteOctave\\\", curNoteOctave)\\n \\n # Process quarterDuration\\n curNotequarterDuration = roundTo(note_properties[2], base)\\n \\n itrMeasure=int(e[0])\\n itrOffset=e[1]\\n print(\\\"ToDo itrMeasure=\\\", itrMeasure, \\\"itrOffset:\\\", itrOffset)\\n \\n myNote=m.note.Note( name=curNoteName\\n ,quarterLength=curNotequarterDuration\\n ,octave=curNoteOctave\\n ,offset=itrOffset\\n #,type=\\\"quarter\\\" # use quarterLength or type not both\\n )\\n \\n # if you use a time signature object without a measure object then because of\\n # the time signature measures are filled automatically by notes based on\\n # its note duration\\n myPart_UpperStaff.insert(cnt, myNote) \\n noteCount=noteCount+1 \\n cnt=cnt+1\\n print(\\\"cnt:\\\", cnt) \\n else:\\n # Unbalanced Score\\n print(\\\"Program error: Score not balanced\\\") \\n \\n estimatedScore.insert(0, meta_data)\\n estimatedScore.insert(1, myPart_UpperStaff)\\n \\n \\n # *** Add a dummy LowerStaff with a dummy rest to create a Grand piano staff ***\\n # When more staves are used, all staves\\n # must be filled, before append to the total stream,\\n # otherwise you get a corrupted stream when\\n # empty staves are added to the total stream.\\n dummyRest = m.note.Rest()\\n dummyRest.duration.type='quarter'\\n myPart_LowerStaff.insert(cnt, dummyRest)\\n # If you do not want a grand staff comment statement below \\n # ToDo problem with creating lowerStaff !!!!!!!!!!!!!!!!!!!!!!\\n ##estimatedScore.insert(2, myPart_LowerStaff)\\n \\n return(estimatedScore) # create_estimated_score\",\n \"def _update(\\n self,\\n measurements,\\n observer_matrix,\\n measurement_noise,\\n time_diff_s\\n ):\\n # Prediction step\\n transition = self._prediction_step(time_diff_s)\\n\\n # Update uncertainty\\n # P = A * P * A' + Q\\n self._covariance_matrix = \\\\\\n transition * self._covariance_matrix * transition.transpose() \\\\\\n + self._process_noise\\n\\n # Compute the Kalman gain\\n # K = P * H' * inv(H * P * H' + R)\\n hphtr = (\\n observer_matrix\\n * self._covariance_matrix\\n * observer_matrix.transpose()\\n + measurement_noise\\n )\\n try:\\n hphtri = hphtr.getI()\\n except numpy.linalg.linalg.LinAlgError:\\n for diagonal_index in range(len(hphtr)):\\n diagonal_value = hphtr[diagonal_index].item(diagonal_index)\\n if diagonal_value == 0.0:\\n hphtr[diagonal_index].itemset(diagonal_index, 0.00001)\\n hphtri = hphtr.getI()\\n\\n kalman_gain = \\\\\\n self._covariance_matrix * observer_matrix.transpose() * hphtri\\n\\n # Determine innovation or residual and update our estimate\\n # x = x + K * (z - H * x)\\n zhx = measurements - observer_matrix * self._estimates\\n heading_d = zhx[2].item(0)\\n while heading_d > 180.0:\\n heading_d -= 360.0\\n while heading_d <= -180.0:\\n heading_d += 360.0\\n zhx[2].itemset(0, heading_d)\\n\\n self._estimates = self._estimates + kalman_gain * zhx\\n from control.telemetry import Telemetry\\n heading_d = Telemetry.wrap_degrees(self._estimates[2].item(0))\\n self._estimates[2].itemset(0, heading_d)\\n\\n # Update the covariance\\n # P = (I - K * H) * P\\n self._covariance_matrix = (\\n numpy.identity(len(kalman_gain)) - kalman_gain * observer_matrix\\n ) * self._covariance_matrix\\n\\n assert len(self._estimates) == 4 and len(self._estimates[0]) == 1, \\\\\\n 'Estimates should be size 4x1 but is {}x{} after update'.format(\\n len(self._estimates),\\n len(self._estimates[0])\\n )\",\n \"def update(self, state, y):\\n y_pred = self.model(torch.Tensor(state))\\n loss = self.criterion(y_pred, Variable(torch.Tensor(y)))\\n self.optimizer.zero_grad()\\n loss.backward()\\n self.optimizer.step()\",\n \"def horde_step(self, observation):\",\n \"def act(self, state, eps=0.):\",\n \"def set_offensive_ratio(self):\\n bx = self.get_standard_stats()\\n team = self.get_team_stats()\\n opp_team = self.get_opp_team_stats()\\n if bx[\\\"minutes\\\"] > 0 and (bx[\\\"t2p_int\\\"] + bx[\\\"t3p_int\\\"]) > 0:\\n fgm = bx[\\\"t2p_conv\\\"] + bx[\\\"t3p_conv\\\"]\\n fga = bx[\\\"t2p_int\\\"] + bx[\\\"t3p_int\\\"]\\n team_fgm = team[\\\"t2p_conv\\\"] + team[\\\"t3p_conv\\\"]\\n team_fga = team[\\\"t2p_int\\\"] + team[\\\"t3p_int\\\"]\\n team_points = team[\\\"t2p_conv\\\"]*2 + team[\\\"t3p_conv\\\"]*3 + team[\\\"tl_conv\\\"]\\n points = bx[\\\"t2p_conv\\\"]*2 + bx[\\\"t3p_conv\\\"]*3 + bx[\\\"tl_conv\\\"]\\n\\n try:\\n qAST = (Decimal(bx[\\\"minutes\\\"] / (team[\\\"minutes\\\"] / 5)) * (Decimal('1.14') * Decimal((team[\\\"assists\\\"] - bx[\\\"assists\\\"]) / team_fgm))) + \\\\\\n Decimal((((team[\\\"assists\\\"] / team[\\\"minutes\\\"]) * bx[\\\"minutes\\\"] * 5 - bx[\\\"assists\\\"]) / ((team_fgm / team[\\\"minutes\\\"]) * bx[\\\"minutes\\\"] * 5 - fgm)) * (1 - (bx[\\\"minutes\\\"] / (team[\\\"minutes\\\"] / 5))))\\n except ZeroDivisionError:\\n print(BCOLORS.WARNING + \\\"Error: División por cero\\\" + BCOLORS.ENDC)\\n qAST = 1\\n except InvalidOperation:\\n print(BCOLORS.WARNING + \\\"Error: Invalid Operation\\\" + BCOLORS.ENDC)\\n qAST = 1\\n\\n fg_part = fgm * (1 - Decimal('0.5') * Decimal((points - bx[\\\"tl_conv\\\"]) / (2 * fga)) * qAST)\\n\\n try:\\n ast_part = Decimal('0.5') * Decimal(((team_points - team[\\\"tl_conv\\\"]) - (points - bx[\\\"tl_conv\\\"])) / (2*(team_fga - fga))) * bx[\\\"assists\\\"]\\n except ZeroDivisionError:\\n print(BCOLORS.WARNING + \\\"Error: División por cero\\\" + BCOLORS.ENDC)\\n ast_part = 0\\n\\n if bx[\\\"tl_int\\\"] > 0:\\n ft_part = Decimal(1 - (1 - (bx[\\\"tl_conv\\\"] / bx[\\\"tl_int\\\"]))**2) * Decimal('0.4') * bx[\\\"tl_int\\\"]\\n else:\\n ft_part = 0\\n team_scoring_poss = Decimal(team_fgm + Decimal(1 - (1 - (team[\\\"tl_conv\\\"] / team[\\\"tl_int\\\"]))**2) * team[\\\"tl_int\\\"] * Decimal('0.4'))\\n try:\\n team_orb_percentage = Decimal(team[\\\"reb_of\\\"] / (team[\\\"reb_of\\\"] + ((opp_team[\\\"reb_def\\\"] + opp_team[\\\"reb_of\\\"]) - opp_team[\\\"reb_of\\\"])))\\n except ZeroDivisionError:\\n print(BCOLORS.FAIL + \\\"Error: División por cero\\\" + BCOLORS.ENDC)\\n team_orb_percentage = 0\\n except InvalidOperation:\\n print(BCOLORS.FAIL + \\\"Error: Invalid Operation\\\" + BCOLORS.ENDC)\\n team_orb_percentage = 0\\n\\n team_play_percentage = Decimal(team_scoring_poss / (team_fga + team[\\\"tl_int\\\"] * Decimal('0.4') + team[\\\"turnovers\\\"]))\\n try:\\n team_orb_weight = ((1 - team_orb_percentage) * team_play_percentage) / ((1 - team_orb_percentage) * team_play_percentage + team_orb_percentage * (1 - team_play_percentage))\\n except InvalidOperation:\\n print(BCOLORS.FAIL + \\\"Error: Invalid Operation\\\" + BCOLORS.ENDC)\\n team_orb_weight = 0\\n\\n orb_part = bx[\\\"reb_of\\\"] * team_orb_weight * team_play_percentage\\n\\n fg_x_poss = (fga - fgm) * (1 - Decimal('1.07') * team_orb_percentage)\\n if bx[\\\"tl_conv\\\"] > 0:\\n ft_x_poss = Decimal((1 - (bx[\\\"tl_conv\\\"] / bx[\\\"tl_int\\\"]))**2) * Decimal('0.4') * bx[\\\"tl_int\\\"]\\n else:\\n ft_x_poss = Decimal(1 - (bx[\\\"tl_conv\\\"] / 1)**2) * Decimal('0.4') * bx[\\\"tl_int\\\"]\\n try:\\n sc_poss = (fg_part + ast_part + ft_part) * (1 - (team[\\\"reb_of\\\"] / team_scoring_poss) * team_orb_weight * team_play_percentage) + orb_part\\n except InvalidOperation:\\n print(BCOLORS.FAIL + \\\"Error: Invalid Operation\\\" + BCOLORS.ENDC)\\n sc_poss =0\\n\\n tot_poss = sc_poss + fg_x_poss + ft_x_poss + bx[\\\"turnovers\\\"]\\n\\n pprod_fg_part = 2 * (fgm + Decimal('0.5') * bx[\\\"t3p_conv\\\"]) * (1 - Decimal('0.5') * Decimal((points - bx[\\\"tl_conv\\\"]) / (2 * fga)) * qAST)\\n\\n try:\\n pprod_ast_part = 2 * ((team_fgm - fgm + Decimal('0.5') * (team[\\\"t3p_conv\\\"] - bx[\\\"t3p_conv\\\"])) / (team_fgm - fgm)) * Decimal('0.5') * Decimal(((team_points - team[\\\"tl_conv\\\"]) - (points - bx[\\\"tl_conv\\\"])) / (2 * (team_fga - fga))) * bx[\\\"assists\\\"]\\n except:\\n pprod_ast_part = 0\\n\\n pprod_orb_part = bx[\\\"reb_of\\\"] * team_orb_weight * team_play_percentage * (team_points / (team_fgm + Decimal(1 - (team[\\\"tl_conv\\\"] / team[\\\"tl_int\\\"])**2) * Decimal('0.4') * team[\\\"tl_int\\\"]))\\n try:\\n pprod = (pprod_fg_part + pprod_ast_part + bx[\\\"tl_conv\\\"]) * (1 - (team[\\\"reb_of\\\"] / team_scoring_poss) * team_orb_weight * team_play_percentage) + pprod_orb_part\\n except InvalidOperation:\\n print(BCOLORS.FAIL + \\\"Error: Invalid Operation\\\" + BCOLORS.ENDC)\\n pprod = 0\\n\\n try:\\n result = 100 * (pprod / tot_poss)\\n except InvalidOperation:\\n print(BCOLORS.FAIL + \\\"Error: Invalid Operation\\\" + BCOLORS.ENDC)\\n result = 0\\n\\n # print(\\\"fgm: \\\" + str(fgm))\\n # print(\\\"fga: \\\" + str(fga))\\n # print(\\\"team_fgm: \\\" + str(team_fgm))\\n # print(\\\"team_fga: \\\" + str(team_fga))\\n # print(\\\"team_points: \\\" + str(team_points))\\n # print(\\\"points: \\\" + str(points))\\n # print(\\\"qAST: \\\" + str(qAST))\\n # print(\\\"fg_part: \\\" + str(fg_part))\\n # print(\\\"ast_part: \\\" + str(ast_part))\\n # print(\\\"ft_part: \\\" + str(ft_part))\\n # print(\\\"team_scoring_poss: \\\" + str(team_scoring_poss))\\n # print(\\\"team_orb_percentage: \\\" + str(team_orb_percentage))\\n # print(\\\"team_play_percentage: \\\" + str(team_play_percentage))\\n # print(\\\"team_orb_weight: \\\" + str(team_orb_weight))\\n # print(\\\"orb_part: \\\" + str(orb_part))\\n # print(\\\"fg_x_poss: \\\" + str(fg_x_poss))\\n # print(\\\"ft_x_poss: \\\" + str(ft_x_poss))\\n # print(\\\"sc_poss: \\\" + str(sc_poss))\\n # print(\\\"tot_poss: \\\" + str(tot_poss))\\n # print(\\\"pprod_fg_part: \\\" + str(pprod_fg_part))\\n # print(\\\"pprod_ast_part: \\\" + str(pprod_ast_part))\\n # print(\\\"pprod_orb_part: \\\" + str(pprod_orb_part))\\n # print(\\\"pprod: \\\" + str(pprod))\\n # print(\\\"result: \\\" + str(result) + \\\"\\\\n\\\")\\n else:\\n result = 0.00\\n\\n self.ortg = \\\"%.2f\\\" % round(result, 2)\\n if Decimal(self.ortg) < 0 or Decimal(self.ortg) >= 1000:\\n \\\"\\\"\\\"For one game, maybe we've got a negative result or one so big, so, for just only a game, we get the ORTG \\n using team's formula\\\"\\\"\\\"\\n print(BCOLORS.OKBLUE + \\\"ORTG negativo o superior a 1000 para jugadora => recalculamos a través de la fórmula de equipo\\\" + BCOLORS.ENDC)\\n bx = self.get_standard_stats()\\n result = round((bx[\\\"t2p_conv\\\"]*2 + bx[\\\"t3p_conv\\\"]*3 + bx[\\\"tl_conv\\\"])/self.get_team_possessions(), 2)\\n self.ortg = \\\"%.2f\\\" % result\",\n \"def change_score(self, change: float=1):\\n self._score += change\",\n \"def _adjust(self):\\n self.updateView()\\n\\n self.setDescription(\\n f\\\"Smoothing Factor: x{self.smoothingFactor()}\\\\n\\\"\\n f\\\"Method: {self.method()}\\\\n\\\"\\n f\\\"Smoother type: {self.smoother_type_to_name[self.smootherType()]}\\\"\\n )\",\n \"def update(self, sequence):\\n if len(sequence)==2:\\n self.trace[sequence[0][0]] = self.gamma * self.lam\\n self.trace[sequence[-1][0]] = 1\\n for state,reward in sequence:\\n self.expected[state] += self.alpha * self.delta * self.trace[state]\\n self.trace[state] *= self.gamma * self.lam\",\n \"def write_estimate(self, table, variable, code, datum):\\n try:\\n division = Division.objects.get(code='{}{}'.format(\\n datum['state'],\\n datum['county']\\n ), level=self.COUNTY_LEVEL)\\n CensusEstimate.objects.update_or_create(\\n division=division,\\n variable=variable,\\n defaults={\\n 'estimate': datum[code] or 0\\n }\\n )\\n except:\\n print('ERROR: {}, {}'.format(datum['NAME'], datum['state']))\",\n \"def simulate(self):\\n self.round += 1\",\n \"def _update_solved_count(delta, task, profile, save_task=True, save_profile=True):\\n if delta == 0:\\n return\\n\\n task.solved_count += delta\\n if save_task:\\n task.save()\\n\\n profile.solved_count += delta\\n profile.update_diff_distribution(task, delta)\\n if save_profile:\\n profile.save()\",\n \"def change_points(self, dp):\\n\\t\\tself._points += dp\",\n \"def updateG(self, dt):\\n\\t\\tself.tissue.G.project( (self.initial * dt + Identity(3)) * self.tissue.G )\",\n \"def change_score(self, change: float = 1):\\n self._score += change\",\n \"def update(self):\\n with torch.no_grad():\\n self.preprocess_rollout()\\n \\n # DEEP-RL TUTORIALS: КОСТЫЛЬ\\n #self.advantages = self.returns[:-1] - self.values[:-1]\\n #self.advantages = (self.advantages - self.advantages.mean()) / (self.advantages.std() + 1e-5)\\n \\n # going through rollout several (config.epochs) times:\\n for epoch in range(self.config.epochs):\\n # TODO: drop last = False? What if there is 1 sample?\\n sampler = BatchSampler(SubsetRandomSampler(range(self.env.num_envs * self.config.rollout)), self.config.batch_size, drop_last=False)\\n \\n for indices in sampler:\\n # retrieving new batch as part of rollout\\n self.returns_b = self.returns.view(-1, *self.config.value_repr_shape)[indices]\\n self.old_values_b = self.values.view(-1, *self.config.value_repr_shape)[indices]\\n self.old_action_log_probs_b = self.action_log_probs.view(-1)[indices]\\n #self.advantages_b = self.advantages.view(-1)[indices] # КОСТЫЛЬ\\n \\n # calculating current value, action_log_prob, entropy\\n dist, self.values_b = self.policy(self.observations.view(-1, *self.config.observation_shape)[indices])\\n self.values_b = self.values_b.squeeze() # IMPORTANT ([32] - [32, 1] problem)\\n self.action_log_probs_b = dist.log_prob(self.actions.view(-1, *self.config.actions_shape)[indices])#.sum(dim=-1) \\n self.entropy_b = dist.entropy()#.sum(dim=-1)\\n \\n # performing step\\n self.gradient_ascent_step()\",\n \"def _measurement_update(self, y_i, h_tilde, pert_m, k_gain, cov_m):\\n innovation = np.subtract(np.transpose(y_i),\\n np.matmul(h_tilde, pert_m))\\n pert_p = np.add(pert_m, np.matmul(k_gain, innovation))\\n\\n L = np.subtract(np.identity(len(self.istate)),\\n np.matmul(k_gain, h_tilde))\\n\\n cov_p = np.matmul(L, cov_m)\\n\\n return (cov_p, pert_p)\",\n \"def update(self, history):\\n\\n N = history.nsequence_histories\\n\\n sequences = history.sequence_histories\\n\\n variances = np.var(sequences, axis=2)\\n\\n means = np.mean(sequences, axis=2)\\n\\n withinChainVariances = np.mean(variances, axis=0)\\n\\n betweenChainVariances = np.var(means, axis=0) * N\\n\\n varEstimate = (1 - 1.0 / N) * withinChainVariances + (\\n 1.0 / N\\n ) * betweenChainVariances\\n\\n if np.abs(withinChainVariances).all() > 0:\\n self._R = np.sqrt(varEstimate / withinChainVariances)\\n else:\\n self._R = np.random.uniform(0.1, 0.9, withinChainVariances.__len__())\\n\\n # self._W can be a float or an array, in both cases I want to exclude 0.0 values\\n try:\\n if self._W != 0.0:\\n if (withinChainVariances / self._W).all() <= 0.0:\\n self._WChange = np.abs(np.log(1.1) ** 0.5)\\n else:\\n self._WChange = np.abs(\\n np.log(withinChainVariances / self._W) ** 0.5\\n )\\n else:\\n self._WChange = np.abs(np.log(1.1) ** 0.5)\\n except ValueError:\\n if self._W.all() != 0.0:\\n if (withinChainVariances / self._W).all() <= 0.0:\\n self._WChange = np.abs(np.log(1.1) ** 0.5)\\n else:\\n # log of values less then 1 gives a negative number, where I replace these values to get square working\\n tmp_WChDV = varEstimate / self._V\\n tmp_WChDV[tmp_WChDV < 1.0] = np.random.uniform(1, 5, 1)\\n self._WChange = np.abs(np.log(tmp_WChDV) ** 0.5)\\n else:\\n self._WChange = np.abs(np.log(1.1) ** 0.5)\\n\\n self._W = withinChainVariances\\n\\n if (varEstimate / self._V).any() <= 0.0 or np.isnan(\\n varEstimate / self._V\\n ).any():\\n self._VChange = np.abs(np.log(1.1) ** 0.5)\\n else:\\n # log of values less then 1 gives a negative number, where I replace these values to get square working\\n tmp_EsDV = varEstimate / self._V\\n tmp_EsDV[tmp_EsDV < 1.0] = np.random.uniform(1, 5, 1)\\n self._VChange = np.abs(np.log(tmp_EsDV) ** 0.5)\\n\\n self._V = varEstimate\",\n \"def _learn(self, state):\\n p_state, p_action = self.prev\\n if p_state is None:\\n return\\n self.Q[p_state][p_action] = self.learning_rate * (self.R(state) + self.discount * max(self.Q[state].values())) - self.Q[p_state][p_action]\",\n \"def step(self, estim: EstimBase) -> None:\\n _, results = estim.get_last_results()\\n results = [self.to_metrics(res) for res in results]\\n self.metrics.extend(results)\\n if len(self.metrics) >= len(self.population):\\n self.population = self._mating(self.population)\\n self.metrics = []\",\n \"def set_score(self, points):\\n self.score += points\",\n \"def estimate_ate2(Y, X, treatment_column, model, label_column, variable_name, propensity_name):\\n\\n propensity = X[propensity_name]\\n X = X[variable_name]\\n gold = Y[label_column]\\n num_of_units = gold.shape[0]\\n\\n part_one = (1/num_of_units)*sum((gold * X[treatment_column])/propensity)\\n print(\\\"part one2 is: \\\", part_one)\\n part_two = (1 / num_of_units) * sum((gold * (1-X[treatment_column])) / (1-propensity))\\n print(\\\"part two2 is: \\\", part_two)\\n ATE = part_one - part_two\\n\\n return ATE\",\n \"def one_step_update(model, posterior_tm1, Y_t):\\n prediction = model.transmat_ @ posterior_tm1\\n likelihood = np.exp(model._compute_log_likelihood(Y_t))\\n posterior_t = prediction * likelihood\\n return posterior_t\",\n \"def vanilaScore(self,attended,state,W):\",\n \"def take_test(exam, student):\\n\\n student.score = exam.administer()\\n return student.score\",\n \"def update(self, state, action, nextState, reward):\\n \\\"*** YOUR CODE HERE ***\\\"\\n features = self.featExtractor.getFeatures(state,action)\\n\\n learning_rate = self.alpha #gives us the learning rate\\n\\n temporary_QValue = self.getQValue(state,action) #to get the Q value of the state,action pair\\n\\n nextState_QValue = self.getValue(nextState) #to get the Q value of the landing state when taken action a and state s\\n\\n discount_factor = self.discount #to get the gamma/ discount factor\\n\\n weight = self.weights\\n\\n Q_Value = 0\\n\\n difference = (reward + discount_factor * nextState_QValue ) - (temporary_QValue) #refer to README_Reinforcement.txt for the formula\\n\\n for each_feature in features:\\n\\n #refer to README_Reinforcement.txt for the formula at line 20\\n weight[each_feature] = weight[each_feature] + learning_rate * difference * features[each_feature]\\n\\n #util.raiseNotDefined()\",\n \"def update(self,**kwargs):\\n self._update_from_kwargs(**kwargs)\\n #--- calc estimated chops from chop length\\n self._calc_estimated_chops_from_timepoints()\\n #--- adjust chops for stimulusresponse\\n self._adjust_chops_for_stimulus_response()\\n #--- update annotations\\n self._update_annotations()\\n #--- get info\\n if self.verbose:\\n self.GetInfo()\\n #--- show plot\\n if self.show:\\n self.show_chops()\",\n \"def test_smoohted_LM(self):\\n\\t\\tprecision = 10**-8\\n\\t\\t\\t\\t \\n\\t\\tif self.n == 1:\\n\\t\\t\\t\\t \\n\\t\\t\\tP_sum = sum(self.estimate_smoothed_prob('', w) for w in self.vocab)\\n\\t\\t\\t\\n\\t\\t\\tassert abs(1.0 - P_sum) < precision, 'Probability mass does not sum up to one.'\\n\\t\\t\\t\\t \\n\\t\\telif self.n == 2:\\n\\t\\t\\thistories = ['the', 'in', 'at', 'blue', 'white']\\n\\t\\t\\t\\t \\n\\t\\t\\tfor h in histories:\\n\\t\\t\\t\\t \\n\\t\\t\\t\\tP_sum = sum(self.estimate_smoothed_prob(h, w) for w in self.vocab)\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tassert abs(1.0 - P_sum) < precision, 'Probability mass does not sum up to one for history' + h\\n\\t\\t\\t\\t\\t \\n\\t\\tprint('TEST SUCCESSFUL!')\\n\\t\\t# YOUR CODE HERE\",\n \"def habit_update(self, s, u_idx, r_disc):\\n\\n r_exp = s.dot(self.Q[u_idx]) # expected reward of state - action\\n v_upd = self.alpha * (r_disc - r_exp) # value update\\n self.Q[u_idx] += v_upd * s # update by weighted state estimate\",\n \"def score(self):\",\n \"def test_update_story_timestamp(self):\\n title = ('Transportation Challenges Limit Education Choices for '\\n 'Denver Parents')\\n summary = \\\"\\\"\\\"\\n Many families in the Denver metro area use public\\n transportation instead of a school bus because for them, a\\n quality education is worth hours of daily commuting. Colorado's\\n school choice program is meant to foster educational equity,\\n but the families who benefit most are those who have time and\\n money to travel. Low-income families are often left in a lurch.\\n \\\"\\\"\\\"\\n byline = \\\"Mile High Connects\\\"\\n story = create_story(title=title, summary=summary, byline=byline)\\n section = create_section(title=\\\"Test Section 1\\\", story=story)\\n sleep(2)\\n section.save()\\n self.assertNowish(story.last_edited)\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.7031372","0.6343698","0.6181432","0.61523265","0.61381894","0.61381894","0.61381894","0.6072239","0.6002296","0.59474117","0.58674514","0.5820868","0.57961833","0.579501","0.57798946","0.5774591","0.5730863","0.57292694","0.57292694","0.5592835","0.5579084","0.55783015","0.5574641","0.5570898","0.5569159","0.55671966","0.55557334","0.5555594","0.5458093","0.5442544","0.5436353","0.54348963","0.539541","0.53819895","0.53781974","0.53751713","0.53696597","0.53696597","0.53582764","0.53466827","0.5339626","0.5336361","0.5334228","0.5334078","0.5327905","0.5325636","0.5310301","0.53022105","0.5294927","0.52934414","0.5290589","0.52850777","0.52727175","0.52687943","0.5268734","0.5262286","0.5258671","0.5256563","0.52564335","0.52558357","0.52476716","0.52445686","0.52324945","0.52302516","0.52242386","0.52101266","0.5195192","0.51944923","0.5194204","0.51904714","0.5189695","0.5184836","0.51804405","0.51791227","0.5178932","0.51769876","0.5173295","0.51611143","0.5159789","0.51566386","0.5152936","0.5149808","0.5148333","0.5148232","0.5143953","0.51434964","0.5134828","0.51319087","0.51298445","0.51248586","0.5119927","0.5119662","0.51169306","0.5116739","0.51153433","0.51108044","0.5107073","0.50923383","0.5091579","0.5085675"],"string":"[\n \"0.7031372\",\n \"0.6343698\",\n \"0.6181432\",\n \"0.61523265\",\n \"0.61381894\",\n \"0.61381894\",\n \"0.61381894\",\n \"0.6072239\",\n \"0.6002296\",\n \"0.59474117\",\n \"0.58674514\",\n \"0.5820868\",\n \"0.57961833\",\n \"0.579501\",\n \"0.57798946\",\n \"0.5774591\",\n \"0.5730863\",\n \"0.57292694\",\n \"0.57292694\",\n \"0.5592835\",\n \"0.5579084\",\n \"0.55783015\",\n \"0.5574641\",\n \"0.5570898\",\n \"0.5569159\",\n \"0.55671966\",\n \"0.55557334\",\n \"0.5555594\",\n \"0.5458093\",\n \"0.5442544\",\n \"0.5436353\",\n \"0.54348963\",\n \"0.539541\",\n \"0.53819895\",\n \"0.53781974\",\n \"0.53751713\",\n \"0.53696597\",\n \"0.53696597\",\n \"0.53582764\",\n \"0.53466827\",\n \"0.5339626\",\n \"0.5336361\",\n \"0.5334228\",\n \"0.5334078\",\n \"0.5327905\",\n \"0.5325636\",\n \"0.5310301\",\n \"0.53022105\",\n \"0.5294927\",\n \"0.52934414\",\n \"0.5290589\",\n \"0.52850777\",\n \"0.52727175\",\n \"0.52687943\",\n \"0.5268734\",\n \"0.5262286\",\n \"0.5258671\",\n \"0.5256563\",\n \"0.52564335\",\n \"0.52558357\",\n \"0.52476716\",\n \"0.52445686\",\n \"0.52324945\",\n \"0.52302516\",\n \"0.52242386\",\n \"0.52101266\",\n \"0.5195192\",\n \"0.51944923\",\n \"0.5194204\",\n \"0.51904714\",\n \"0.5189695\",\n \"0.5184836\",\n \"0.51804405\",\n \"0.51791227\",\n \"0.5178932\",\n \"0.51769876\",\n \"0.5173295\",\n \"0.51611143\",\n \"0.5159789\",\n \"0.51566386\",\n \"0.5152936\",\n \"0.5149808\",\n \"0.5148333\",\n \"0.5148232\",\n \"0.5143953\",\n \"0.51434964\",\n \"0.5134828\",\n \"0.51319087\",\n \"0.51298445\",\n \"0.51248586\",\n \"0.5119927\",\n \"0.5119662\",\n \"0.51169306\",\n \"0.5116739\",\n \"0.51153433\",\n \"0.51108044\",\n \"0.5107073\",\n \"0.50923383\",\n \"0.5091579\",\n \"0.5085675\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.63049126"},"document_rank":{"kind":"string","value":"2"}}},{"rowIdx":20499,"cells":{"query":{"kind":"string","value":"changes the estimate of a story"},"document":{"kind":"string","value":"def update(self, **payload):\n update_story_url =\"https://www.pivotaltracker.com/services/v5/projects/{}/stories/{}\".format(self.project_id, self.story_id)\n return _perform_pivotal_put(update_story_url, payload)"},"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 assign_estimate(self, estimate):\r\n update_story_url =\"https://www.pivotaltracker.com/services/v3/projects/{}/stories/{}?story[estimate]={}\".format(self.project_id, self.story_id, estimate)\r\n response = _perform_pivotal_put(update_story_url)","def estimate(self, estimate):\n\n self._estimate = estimate","def assign_estimate(self, estimate):\n return self.update(estimate=estimate)","def estimate(self) -> None:\n pass","def update_Q(self, reward):\n old_estimate = self.q_estimates[self.prev_action]\n self.q_estimates[self.prev_action] = old_estimate + 1/self.N[self.prev_action] * (reward - old_estimate)","def evaluate(self, story):\n raise NotImplementedError","def evaluate(self, story):\n raise NotImplementedError","def evaluate(self, story):\n raise NotImplementedError","def update(self,x): #update the estimate of rewards and number of esteps run\n\t\tself.N += 1\n\t\tself.estimate_mean = (1.0-1.0/self.N)*self.estimate_mean + (1.0/self.N)*x #recurence relation for averages","def evaluate(self, story):\n # DO NOT CHANGE THIS!\n raise NotImplementedError","def run():\n return estimate(0,1,0)","def update_score():\n pass","def test_update_goal_metric(self):\n pass","def evaluate_design(self): # to update the pr object","def update(self, state, action, nextState, reward):\n \"\"\"Description:\n Use second equation in slide 71 of MDP\n Adjest weight of active features depend on tranistion \n \"\"\"\n \"\"\" YOUR CODE HERE \"\"\"\n feat = self.featExtractor.getFeatures(state, action)\n\n # if weight is empty, then weight will need to initial to 1 for all features\n # According to which Extractor user choose, weight counter will have equal number of keys.\n if len(self.weight) == 0:\n feat = self.featExtractor.getFeatures(state, action)\n self.weight.incrementAll(feat.keys(), 1)\n \n maxQns = self.getValue(nextState)\n if maxQns == None:\n maxQns = 0\n Qsa = self.getQValue(state, action)\n difference = ( reward + self.discountRate * maxQns ) - Qsa\n \n for key in self.weight.keys():\n self.weight[key] += (self.alpha * difference * feat[key])\n \n \n \"\"\" END CODE \"\"\"","def _update_optimizer(self, hyperparameters, score, fit=True):\n if self.do_maximize:\n score = -score\n self.optimizer_result = self.optimizer.tell(hyperparameters, score, fit=fit)","def _update(self, bandit): \n \n bandit_logs = self.logging[bandit]\n bandit = bandit.id\n if not bandit_logs['actions']:\n estimate = 0 # if not taken till now then 0 is assigned\n actions = 0\n else:\n estimate = bandit_logs['reward'] / bandit_logs['actions'] # if not assigned\n actions = bandit_logs['actions']\n self.mu[bandit] = (self.mu_pri[bandit]/self.var_pri[bandit] + actions*estimate/self.var0)/(actions/self.var0 + 1/self.var_pri[bandit])\n self.var[bandit] = 1/(actions/self.var0 + 1/self.var[bandit])","def _update(self, bandit): \n \n bandit_logs = self.logging[bandit]\n bandit = bandit.id\n estimate = bandit_logs['reward'] / bandit_logs['actions'] # if not assigned\n actions = bandit_logs['actions']\n self.mu[bandit] = (self.mu_pri[bandit]/self.var_pri[bandit] + actions*estimate/self.var0)/(actions/self.var0 + 1/self.var_pri[bandit])\n self.var[bandit] = 1/(actions/self.var0 + 1/self.var[bandit])","def update_estimator(self):\n self.optimizer.step()\n self.optimizer.zero_grad()","def update_estimator(self):\n self.optimizer.step()\n self.optimizer.zero_grad()","def update_goal(self):\n pass","def update(self, s, a, td_target):\n features = self.featurize_state(s)\n self.models[a].partial_fit([features], [td_target]) # recall that we have a seperate funciton for each a ","def test_update_fitness():\n herb1 = Herbivore(10)\n original_fitness = herb1.fitness\n herb1.feeding(10)\n nt.assert_not_equal(herb1.fitness, original_fitness)","def thesis(self, new_thesis):\r\n self.__thesis = 'Thesis: ' + new_thesis","def update_score(self):\n self.score = TurboMQ.calculate_fitness(self.result, self.graph)","def _update_step(self, *, observations: types.ObservationsTorch) -> None:","def _update_distribution(self, trajectories):\n costs = trajectories[\"costs\"].copy()\n actions = trajectories[\"actions\"].copy()\n Q = cost_to_go(costs, self.gamma_seq)\n best_id = np.argmin(Q, axis = 0)[0]\n self.mean_action = (1.0 - self.step_size) * self.mean_action +\\\n self.step_size * actions[best_id]","def update_percent(self):","def stepETAUpdate(build, step, ETA, expectations):","def update(self, state, action, nextState, reward):\n \"*** YOUR CODE HERE ***\"\n\n position = state.getPacmanPosition()\n\n temporal_difference = reward + self.discount * self.computeValueFromQValues(nextState) - self.getQValue(state, action)\n\n val = self.getQValue(state, action) + self.alpha * temporal_difference\n\n self.values[(str(position), action)] = val\n\n with open(\"dataFakeGoal.txt\", \"a+\") as f:\n f.write(str(position) + \"|\" + action + \"|\" + str(val) + \"\\n\")","def update(self, state, action, nextState, reward):\n \"*** YOUR CODE HERE ***\"\n\n position = state.getPacmanPosition()\n\n temporal_difference = reward + self.discount * self.computeValueFromQValues(nextState) - self.getQValue(state, action)\n\n val = self.getQValue(state, action) + self.alpha * temporal_difference\n\n self.values[(str(position), action)] = val\n\n with open(\"dataFakeGoal1.txt\", \"a+\") as f:\n f.write(str(position) + \"|\" + action + \"|\" + str(val) + \"\\n\")","def set_score(self, change):\n self._score = self._score + change","def update(self, state, action, nextState, reward):\n \"*** YOUR CODE HERE ***\"\n\n position = state.getPacmanPosition()\n\n temporal_difference = reward + self.discount * self.computeValueFromQValues(nextState) - self.getQValue(state, action)\n\n val = self.getQValue(state, action) + self.alpha * temporal_difference\n\n self.values[(str(position), action)] = val\n\n with open(\"dataRealGoal.txt\", \"a+\") as f:\n f.write(str(position) + \"|\" + action + \"|\" + str(val) + \"\\n\")","def update_value(self, reward):\n\t\tval = self.value\n\t\tval = val + ((reward - val)/self.visited)\n\t\tself.value = val","def prob_update(self):\n pass","def update(self, game):\n super().update(game)\n self.nn_def.set_score(self.score)","def update(self):\n\n # get states, actions, rewards and total timesteps from memory\n states, actions, R, T = self.memory.get()\n n_ep = len(R)\n\n # compute value estimates for the states\n v = self.critic(states)\n\n # compute advantages (using GAE) and rewards to go\n A, rtg = utils.gae_rtg((R, v, T), self.gam, self.lam)\n\n # store the initial version of both the policy and the log probs of the\n # actions for later comparison with the future versions (needed for PPO)\n policy_old = copy.deepcopy(self.policy)\n log_probs_old = policy_old(states).log_prob(actions)\n\n # sample from a batch of experiences\n # (\"_\" subscript indicates \"sampled from\")\n for (v_, A_, rtg_, log_probs_old_), i in utils.sample_batch((v, A, rtg, log_probs_old), self.batch_size, self.policy_updates):\n log_probs_ = self.policy(states).log_prob(actions)[i]\n\n # estimate ratio between the new log probs and the old ones\n r_ = torch.exp(log_probs_ - log_probs_old_)\n\n l_1 = r_ * A_\n l_2 = torch.clamp(r_, 1-self.eps, 1+self.eps) * A_\n\n # TODO: implement entropy\n # TODO: merge policy and critic\n\n # surragate loss function for PPO\n l_clip = -torch.mean(torch.min(l_1, l_2))\n\n # update the policy\n self.policy_optimizer.zero_grad()\n l_clip.backward(retain_graph=True)\n self.policy_optimizer.step()\n\n # sample a batch of value estimates and the corresponding rewards to go\n # to update the value function.\n for (v_, rtg_), _ in utils.sample_batch((v, rtg), self.batch_size, self.v_updates):\n # compute the loss\n critic_loss = F.mse_loss(v_, rtg_)\n\n # update the critic\n self.critic_optimizer.zero_grad()\n critic_loss.backward(retain_graph=True)\n self.critic_optimizer.step()\n\n # clear the memory. PPO is an On-Policy method so we don't need these\n # memories anymore\n self.memory.clear()\n\n # return the loss of the value function for display\n return F.mse_loss(v, rtg)","def update(self, state, action, nextState, reward):\n \"*** YOUR CODE HERE ***\"\n diff = reward + self.discount * self.computeValueFromQValues(nextState) - self.getQValue(state, action)\n for feature_name, feature_value in self.featExtractor.getFeatures(state, action).iteritems():\n self.weights[feature_name] += self.alpha * diff * feature_value","def update(self, state, action, nextState, reward):\n \"*** YOUR CODE HERE ***\"\n diff = reward + self.discount * self.computeValueFromQValues(nextState) - self.getQValue(state, action)\n for feature_name, feature_value in self.featExtractor.getFeatures(state, action).iteritems():\n self.weights[feature_name] += self.alpha * diff * feature_value","def updateVisitStatistics(self, s, a, s_) :\n self.N[s, a, s_] += 1\n self.Ntotal[s, a] += 1\n self.PHat[s, a] = self.N[s, a] / self.Ntotal[s, a]\n self.omega[s, a] = confidenceRadius(self.mdp, self.Ntotal[s, a], self.delta_)","def update(self, state, action, nextState, reward):\n \"*** YOUR CODE HERE ***\"\n\n position = state.getPacmanPosition()\n\n temporal_difference = reward + self.discount * self.computeValueFromQValues(nextState) - self.getQValue(state, action)\n\n val = self.getQValue(state, action) + self.alpha * temporal_difference\n\n self.values[(str(position), action)] = val\n\n with open(\"penalty.txt\", \"a+\") as f:\n f.write(str(position) + \"|\" + action + \"|\" + str(val) + \"\\n\")","def update_state(self, a, obs, t):\n \n self.update_weights(a, obs, t) # only update weights, not particles \n self.update_running_average_weights(t) \n return None","def _adjust_score(self, my_choice, their_choice):\n self._score += p.params['score_matrix'][my_choice][their_choice]\n self._score -= p.params['loss_per_tick']","def updateToplogy(self):\r\n raise NotImplementedError","def update(self, state, action, nextState, reward):\n \"*** YOUR CODE HERE ***\"\n # print \"update\"\n oldValue = self.getQValue(state, action)\n sample = reward + self.discount*self.computeValueFromQValues(nextState)\n self.qValues[(state, action)] = (1-self.alpha)*oldValue + self.alpha*(sample)","def update(self, state, action, nextState, reward):\n \"*** YOUR CODE HERE ***\"\n feature_dictionary = self.featExtractor.getFeatures(state, action)\n difference = (reward + self.discount * self.computeValueFromQValues(nextState)) - self.getQValue(state, action)\n\n for feature in feature_dictionary:\n self.weights[feature] += self.alpha * difference * feature_dictionary[feature]\n\n #if self.epsilon > self.epsilon_min:\n # self.epsilon *= self.epsilon_decay","def update(self, initial, follows):","def update(self, state, action, nextState, reward):\n # print \"Update\"\n difference = (reward + self.discount*self.compValFromState(nextState)) - self.getQValue(state, action)\n features = self.featExtractor.getFeatures(state, self.index)\n #print \"features\", features, \"difference\", difference, \"weights\", self.weights\n for key in self.weights:\n self.weights[key] = self.alpha * difference * features[key]","def increase(self, points):\n self.score += points","def tell(self, observation):\n self.time += 1\n new_distribution = [0] * self.num_states\n for s1 in range(self.num_states):\n sensor_term = self.sensor_model(observation, s1)\n prior = 0\n for s0 in range(self.num_states):\n prior += self.transition_model(s0, s1) * self.distribution[s0]\n new_distribution[s1] = sensor_term * prior\n\n self.distribution = new_distribution\n self.distribution = [x / float(sum(self.distribution)) for x in self.distribution]","def update(self, steps, rewards, i_episode):\n self.total_steps += steps\n self.score = sum(rewards)\n self.scores_window.append(self.score)\n self.scores.append(self.score)\n self.avg_score = np.mean(self.scores_window)\n self.avg_scores.append(self.avg_score)\n self.std_dev = np.std(self.scores_window)\n # update best average score\n if self.avg_score > self.best_avg_score and i_episode > 100:\n self.best_avg_score = self.avg_score","def update(self, state, action, nextState, reward):\n \"\"\"Description:\n Use Q-Learning algoritm in slide 58 of MDP\n \"\"\"\n \"\"\" YOUR CODE HERE \"\"\"\n maxQns = self.getValue(nextState) # get max q-value of next state\n if maxQns == None:\n maxQns = 0\n Qsa = self.getQValue(state, action) #self.qValues[(state, action)]\n difference = reward + self.discountRate * maxQns - Qsa\n self.qValues[(state, action)] += self.alpha * difference\n \n self.vitCount[(state, action)] += 1\n \"\"\" END CODE \"\"\"","def take_test(exam, student):\n\n student.score = exam.administer()","def update(self, obs, actions, rewards, new_obs):\n pass","def update_fit(self, X, y):\n pass","def increase_learning(self, factor):\n pass","def measure(self, imgage, previous=None):","def update(experience_buffer, returns):\n rewards = np.array(experience_buffer[2])\n discount_rewards = rewards * (FLAGS.GAMMA ** np.arange(len(rewards)))\n current_return = discount_rewards.sum()\n returns.append(current_return)\n returns = returns[-100:] # Get recent 100 returns.\n baseline = sum(returns) / len(returns) # Baseline is the average of 100 returns.\n sess.run(train_op, {observation_: experience_buffer[0],\n action_: experience_buffer[1],\n advantage_: current_return - baseline}) \n return returns","def update(self, s, a, y):\r\n features = self.featurize_state(s)\r\n self.models[a].partial_fit([features], [y])","def update(self, state, action, nextState, reward):\n \"*** YOUR CODE HERE ***\"\n feature_dictionary = self.featExtractor.getFeatures(state, action)\n difference = (reward + self.discount * self.computeValueFromQValues(nextState)) - self.getQValue(state, action)\n\n for feature in feature_dictionary:\n self.weights[feature] += self.alpha * difference * feature_dictionary[feature]","def update(self, strategy):\n if strategy.experience.current_experience <= self._current_experience:\n TopkAccuracyPluginMetric.update(self, strategy)","def estimate(values, target):\n\n # next time\n # diff(values)\n\n\n return 1.","def update_policy(self):\n self.optimizer.step()\n self.optimizer.zero_grad()","def update(self, state, action, nextState, reward):\n \"*** YOUR CODE HERE ***\"\n\n temporal_difference = reward + self.discount * self.computeValueFromQValues(nextState) - self.getQValue(state, action)\n\n val = self.getQValue(state, action) + self.alpha * temporal_difference\n\n self.values[(str(state), action)] = val","def update_score(self, engine, *args):\n #pdb.set_trace()\n self.score_label.text = \"Gold: {}/{}\".format(str(engine.score),\n str(engine.win_score))","def refresh(self):\n self.reward = 0\n self.score = 0","def adjust_score(self):\n self.score += game.temporary_score","def test_update_goal(self):\n pass","def testUpdate(self):\n gen = self.gen\n prof = self.profile\n\n # Make sure attributes get updated with a change in the calculation\n # points.\n x = arange(0, 9, 0.1)\n prof.setCalculationPoints(x)\n self.assertTrue(gen._value is None)\n val = gen.value\n self.assertTrue(array_equal(x, prof.ycalc))\n self.assertTrue(array_equal(prof.x, prof.ycalc))\n self.assertTrue(array_equal(val, prof.ycalc))\n self.assertTrue(array_equal(gen._value, prof.ycalc))\n\n # Make sure attributes get updated with a new profile.\n x = arange(0, 8, 0.1)\n prof = Profile()\n prof.setCalculationPoints(x)\n gen.setProfile(prof)\n self.assertTrue(gen._value is None)\n val = gen.value\n self.assertTrue(array_equal(x, prof.ycalc))\n self.assertTrue(array_equal(prof.x, prof.ycalc))\n self.assertTrue(array_equal(val, prof.ycalc))\n self.assertTrue(array_equal(gen._value, prof.ycalc))\n return","def increase_score(self):\n self.score += 1","def create_estimated_score( X_new\n ,Y_pred\n ,base\n ,time_signature_input_file\n ,key_signature_input_file\n ,score_title\n ,composer\n ):\n\n # Debug info:\n #print(\"\\n\\n\")\n #print(\"Estimated output in notes (Notename, octave and quarterLength):\")\n #for r in Y_pred:\n #\n # # round to a 0.25 resolution because input used 1/4 notes\n # t=r[2]\n # BASE=0.25\n # v=t + (BASE - t) % BASE\n # print(nc.getNoteName(int(round(r[0])), enharmonic=False),int(round(r[1])), v)\n\n\n # *** Create the score with estimated notes ***\n # *********************************************\n # https://web.mit.edu/music21/doc/usersGuide/usersGuide_06_stream2.html\n estimatedScore = m.stream.Stream()\n\n # Set Meta Data in estimated score\n meta_data = m.metadata.Metadata()\n meta_data.title = score_title\n today = date.today()\n # YYYY/mm/dd\n d1 = today.strftime(\"%d/%m/%Y\")\n meta_data.date = str(d1)\n meta_data.composer = composer+\" (\"+str(d1)+\")\"\n\n upperStaffClef=m.clef.TrebleClef()\n lowerStaffClef=m.clef.BassClef()\n\n myPart = m.stream.Part()\n myPart_UpperStaff = m.stream.Part()\n # set Clef UpperStaff\n myPart_UpperStaff.append(upperStaffClef)\n\n # set TimeSignature UpperStaff\n myPart_UpperStaff.append(time_signature_input_file)\n \n # set keySignature UpperStaff\n myPart_UpperStaff.append(key_signature_input_file)\n \n myPart_LowerStaff = m.stream.Part()\n # set Clef UpperStaff\n myPart_LowerStaff.append(lowerStaffClef)\n\n # set TimeSignature LowerStaff\n myPart_LowerStaff.append(time_signature_input_file)\n \n # set keySignature LowerStaff\n myPart_LowerStaff.append(key_signature_input_file)\n\n # Do not use a Measure object\n # If you use a Time Signature object without a Measure object\n # when adding a notes, to a stream, measures are filled\n # automatically bases on note lengths\n myNote = m.note.Note()\n\n myPart_UpperStaff.partName=\"Piano Upper\"\n myPart_LowerStaff.partName=\"Piano Lower\"\n \n print(\"\\n\\n\")\n print(\"process measures\")\n itrNote = m.note.Note()\n if (X_new.shape[0] == Y_pred.shape[0]):\n # Normal Score\n cnt=0 # counter to sync X and Y (sync time and Notes)\n curMeasure=1\n noteCount=0\n for e in X_new:\n \n # Decoding Y_pred: get note properies \n # Do the encoding as inverse of the decoding (see above) \n note_properties = Y_pred[cnt]\n #print(\"!!! note_properties[\", cnt, \"]\", note_properties)\n curNoteName=nc.getNoteName(int(round(note_properties[0])), enharmonic=False)\n print(\"curNoteName\", curNoteName)\n curNoteOctave = int(round(note_properties[1]))\n #print(\"curNoteOctave\", curNoteOctave)\n \n # Process quarterDuration\n curNotequarterDuration = roundTo(note_properties[2], base)\n \n itrMeasure=int(e[0])\n itrOffset=e[1]\n print(\"ToDo itrMeasure=\", itrMeasure, \"itrOffset:\", itrOffset)\n \n myNote=m.note.Note( name=curNoteName\n ,quarterLength=curNotequarterDuration\n ,octave=curNoteOctave\n ,offset=itrOffset\n #,type=\"quarter\" # use quarterLength or type not both\n )\n \n # if you use a time signature object without a measure object then because of\n # the time signature measures are filled automatically by notes based on\n # its note duration\n myPart_UpperStaff.insert(cnt, myNote) \n noteCount=noteCount+1 \n cnt=cnt+1\n print(\"cnt:\", cnt) \n else:\n # Unbalanced Score\n print(\"Program error: Score not balanced\") \n \n estimatedScore.insert(0, meta_data)\n estimatedScore.insert(1, myPart_UpperStaff)\n \n \n # *** Add a dummy LowerStaff with a dummy rest to create a Grand piano staff ***\n # When more staves are used, all staves\n # must be filled, before append to the total stream,\n # otherwise you get a corrupted stream when\n # empty staves are added to the total stream.\n dummyRest = m.note.Rest()\n dummyRest.duration.type='quarter'\n myPart_LowerStaff.insert(cnt, dummyRest)\n # If you do not want a grand staff comment statement below \n # ToDo problem with creating lowerStaff !!!!!!!!!!!!!!!!!!!!!!\n ##estimatedScore.insert(2, myPart_LowerStaff)\n \n return(estimatedScore) # create_estimated_score","def _update(\n self,\n measurements,\n observer_matrix,\n measurement_noise,\n time_diff_s\n ):\n # Prediction step\n transition = self._prediction_step(time_diff_s)\n\n # Update uncertainty\n # P = A * P * A' + Q\n self._covariance_matrix = \\\n transition * self._covariance_matrix * transition.transpose() \\\n + self._process_noise\n\n # Compute the Kalman gain\n # K = P * H' * inv(H * P * H' + R)\n hphtr = (\n observer_matrix\n * self._covariance_matrix\n * observer_matrix.transpose()\n + measurement_noise\n )\n try:\n hphtri = hphtr.getI()\n except numpy.linalg.linalg.LinAlgError:\n for diagonal_index in range(len(hphtr)):\n diagonal_value = hphtr[diagonal_index].item(diagonal_index)\n if diagonal_value == 0.0:\n hphtr[diagonal_index].itemset(diagonal_index, 0.00001)\n hphtri = hphtr.getI()\n\n kalman_gain = \\\n self._covariance_matrix * observer_matrix.transpose() * hphtri\n\n # Determine innovation or residual and update our estimate\n # x = x + K * (z - H * x)\n zhx = measurements - observer_matrix * self._estimates\n heading_d = zhx[2].item(0)\n while heading_d > 180.0:\n heading_d -= 360.0\n while heading_d <= -180.0:\n heading_d += 360.0\n zhx[2].itemset(0, heading_d)\n\n self._estimates = self._estimates + kalman_gain * zhx\n from control.telemetry import Telemetry\n heading_d = Telemetry.wrap_degrees(self._estimates[2].item(0))\n self._estimates[2].itemset(0, heading_d)\n\n # Update the covariance\n # P = (I - K * H) * P\n self._covariance_matrix = (\n numpy.identity(len(kalman_gain)) - kalman_gain * observer_matrix\n ) * self._covariance_matrix\n\n assert len(self._estimates) == 4 and len(self._estimates[0]) == 1, \\\n 'Estimates should be size 4x1 but is {}x{} after update'.format(\n len(self._estimates),\n len(self._estimates[0])\n )","def update(self, state, y):\n y_pred = self.model(torch.Tensor(state))\n loss = self.criterion(y_pred, Variable(torch.Tensor(y)))\n self.optimizer.zero_grad()\n loss.backward()\n self.optimizer.step()","def horde_step(self, observation):","def act(self, state, eps=0.):","def set_offensive_ratio(self):\n bx = self.get_standard_stats()\n team = self.get_team_stats()\n opp_team = self.get_opp_team_stats()\n if bx[\"minutes\"] > 0 and (bx[\"t2p_int\"] + bx[\"t3p_int\"]) > 0:\n fgm = bx[\"t2p_conv\"] + bx[\"t3p_conv\"]\n fga = bx[\"t2p_int\"] + bx[\"t3p_int\"]\n team_fgm = team[\"t2p_conv\"] + team[\"t3p_conv\"]\n team_fga = team[\"t2p_int\"] + team[\"t3p_int\"]\n team_points = team[\"t2p_conv\"]*2 + team[\"t3p_conv\"]*3 + team[\"tl_conv\"]\n points = bx[\"t2p_conv\"]*2 + bx[\"t3p_conv\"]*3 + bx[\"tl_conv\"]\n\n try:\n qAST = (Decimal(bx[\"minutes\"] / (team[\"minutes\"] / 5)) * (Decimal('1.14') * Decimal((team[\"assists\"] - bx[\"assists\"]) / team_fgm))) + \\\n Decimal((((team[\"assists\"] / team[\"minutes\"]) * bx[\"minutes\"] * 5 - bx[\"assists\"]) / ((team_fgm / team[\"minutes\"]) * bx[\"minutes\"] * 5 - fgm)) * (1 - (bx[\"minutes\"] / (team[\"minutes\"] / 5))))\n except ZeroDivisionError:\n print(BCOLORS.WARNING + \"Error: División por cero\" + BCOLORS.ENDC)\n qAST = 1\n except InvalidOperation:\n print(BCOLORS.WARNING + \"Error: Invalid Operation\" + BCOLORS.ENDC)\n qAST = 1\n\n fg_part = fgm * (1 - Decimal('0.5') * Decimal((points - bx[\"tl_conv\"]) / (2 * fga)) * qAST)\n\n try:\n ast_part = Decimal('0.5') * Decimal(((team_points - team[\"tl_conv\"]) - (points - bx[\"tl_conv\"])) / (2*(team_fga - fga))) * bx[\"assists\"]\n except ZeroDivisionError:\n print(BCOLORS.WARNING + \"Error: División por cero\" + BCOLORS.ENDC)\n ast_part = 0\n\n if bx[\"tl_int\"] > 0:\n ft_part = Decimal(1 - (1 - (bx[\"tl_conv\"] / bx[\"tl_int\"]))**2) * Decimal('0.4') * bx[\"tl_int\"]\n else:\n ft_part = 0\n team_scoring_poss = Decimal(team_fgm + Decimal(1 - (1 - (team[\"tl_conv\"] / team[\"tl_int\"]))**2) * team[\"tl_int\"] * Decimal('0.4'))\n try:\n team_orb_percentage = Decimal(team[\"reb_of\"] / (team[\"reb_of\"] + ((opp_team[\"reb_def\"] + opp_team[\"reb_of\"]) - opp_team[\"reb_of\"])))\n except ZeroDivisionError:\n print(BCOLORS.FAIL + \"Error: División por cero\" + BCOLORS.ENDC)\n team_orb_percentage = 0\n except InvalidOperation:\n print(BCOLORS.FAIL + \"Error: Invalid Operation\" + BCOLORS.ENDC)\n team_orb_percentage = 0\n\n team_play_percentage = Decimal(team_scoring_poss / (team_fga + team[\"tl_int\"] * Decimal('0.4') + team[\"turnovers\"]))\n try:\n team_orb_weight = ((1 - team_orb_percentage) * team_play_percentage) / ((1 - team_orb_percentage) * team_play_percentage + team_orb_percentage * (1 - team_play_percentage))\n except InvalidOperation:\n print(BCOLORS.FAIL + \"Error: Invalid Operation\" + BCOLORS.ENDC)\n team_orb_weight = 0\n\n orb_part = bx[\"reb_of\"] * team_orb_weight * team_play_percentage\n\n fg_x_poss = (fga - fgm) * (1 - Decimal('1.07') * team_orb_percentage)\n if bx[\"tl_conv\"] > 0:\n ft_x_poss = Decimal((1 - (bx[\"tl_conv\"] / bx[\"tl_int\"]))**2) * Decimal('0.4') * bx[\"tl_int\"]\n else:\n ft_x_poss = Decimal(1 - (bx[\"tl_conv\"] / 1)**2) * Decimal('0.4') * bx[\"tl_int\"]\n try:\n sc_poss = (fg_part + ast_part + ft_part) * (1 - (team[\"reb_of\"] / team_scoring_poss) * team_orb_weight * team_play_percentage) + orb_part\n except InvalidOperation:\n print(BCOLORS.FAIL + \"Error: Invalid Operation\" + BCOLORS.ENDC)\n sc_poss =0\n\n tot_poss = sc_poss + fg_x_poss + ft_x_poss + bx[\"turnovers\"]\n\n pprod_fg_part = 2 * (fgm + Decimal('0.5') * bx[\"t3p_conv\"]) * (1 - Decimal('0.5') * Decimal((points - bx[\"tl_conv\"]) / (2 * fga)) * qAST)\n\n try:\n pprod_ast_part = 2 * ((team_fgm - fgm + Decimal('0.5') * (team[\"t3p_conv\"] - bx[\"t3p_conv\"])) / (team_fgm - fgm)) * Decimal('0.5') * Decimal(((team_points - team[\"tl_conv\"]) - (points - bx[\"tl_conv\"])) / (2 * (team_fga - fga))) * bx[\"assists\"]\n except:\n pprod_ast_part = 0\n\n pprod_orb_part = bx[\"reb_of\"] * team_orb_weight * team_play_percentage * (team_points / (team_fgm + Decimal(1 - (team[\"tl_conv\"] / team[\"tl_int\"])**2) * Decimal('0.4') * team[\"tl_int\"]))\n try:\n pprod = (pprod_fg_part + pprod_ast_part + bx[\"tl_conv\"]) * (1 - (team[\"reb_of\"] / team_scoring_poss) * team_orb_weight * team_play_percentage) + pprod_orb_part\n except InvalidOperation:\n print(BCOLORS.FAIL + \"Error: Invalid Operation\" + BCOLORS.ENDC)\n pprod = 0\n\n try:\n result = 100 * (pprod / tot_poss)\n except InvalidOperation:\n print(BCOLORS.FAIL + \"Error: Invalid Operation\" + BCOLORS.ENDC)\n result = 0\n\n # print(\"fgm: \" + str(fgm))\n # print(\"fga: \" + str(fga))\n # print(\"team_fgm: \" + str(team_fgm))\n # print(\"team_fga: \" + str(team_fga))\n # print(\"team_points: \" + str(team_points))\n # print(\"points: \" + str(points))\n # print(\"qAST: \" + str(qAST))\n # print(\"fg_part: \" + str(fg_part))\n # print(\"ast_part: \" + str(ast_part))\n # print(\"ft_part: \" + str(ft_part))\n # print(\"team_scoring_poss: \" + str(team_scoring_poss))\n # print(\"team_orb_percentage: \" + str(team_orb_percentage))\n # print(\"team_play_percentage: \" + str(team_play_percentage))\n # print(\"team_orb_weight: \" + str(team_orb_weight))\n # print(\"orb_part: \" + str(orb_part))\n # print(\"fg_x_poss: \" + str(fg_x_poss))\n # print(\"ft_x_poss: \" + str(ft_x_poss))\n # print(\"sc_poss: \" + str(sc_poss))\n # print(\"tot_poss: \" + str(tot_poss))\n # print(\"pprod_fg_part: \" + str(pprod_fg_part))\n # print(\"pprod_ast_part: \" + str(pprod_ast_part))\n # print(\"pprod_orb_part: \" + str(pprod_orb_part))\n # print(\"pprod: \" + str(pprod))\n # print(\"result: \" + str(result) + \"\\n\")\n else:\n result = 0.00\n\n self.ortg = \"%.2f\" % round(result, 2)\n if Decimal(self.ortg) < 0 or Decimal(self.ortg) >= 1000:\n \"\"\"For one game, maybe we've got a negative result or one so big, so, for just only a game, we get the ORTG \n using team's formula\"\"\"\n print(BCOLORS.OKBLUE + \"ORTG negativo o superior a 1000 para jugadora => recalculamos a través de la fórmula de equipo\" + BCOLORS.ENDC)\n bx = self.get_standard_stats()\n result = round((bx[\"t2p_conv\"]*2 + bx[\"t3p_conv\"]*3 + bx[\"tl_conv\"])/self.get_team_possessions(), 2)\n self.ortg = \"%.2f\" % result","def change_score(self, change: float=1):\n self._score += change","def _adjust(self):\n self.updateView()\n\n self.setDescription(\n f\"Smoothing Factor: x{self.smoothingFactor()}\\n\"\n f\"Method: {self.method()}\\n\"\n f\"Smoother type: {self.smoother_type_to_name[self.smootherType()]}\"\n )","def update(self, sequence):\n if len(sequence)==2:\n self.trace[sequence[0][0]] = self.gamma * self.lam\n self.trace[sequence[-1][0]] = 1\n for state,reward in sequence:\n self.expected[state] += self.alpha * self.delta * self.trace[state]\n self.trace[state] *= self.gamma * self.lam","def write_estimate(self, table, variable, code, datum):\n try:\n division = Division.objects.get(code='{}{}'.format(\n datum['state'],\n datum['county']\n ), level=self.COUNTY_LEVEL)\n CensusEstimate.objects.update_or_create(\n division=division,\n variable=variable,\n defaults={\n 'estimate': datum[code] or 0\n }\n )\n except:\n print('ERROR: {}, {}'.format(datum['NAME'], datum['state']))","def simulate(self):\n self.round += 1","def _update_solved_count(delta, task, profile, save_task=True, save_profile=True):\n if delta == 0:\n return\n\n task.solved_count += delta\n if save_task:\n task.save()\n\n profile.solved_count += delta\n profile.update_diff_distribution(task, delta)\n if save_profile:\n profile.save()","def change_points(self, dp):\n\t\tself._points += dp","def updateG(self, dt):\n\t\tself.tissue.G.project( (self.initial * dt + Identity(3)) * self.tissue.G )","def change_score(self, change: float = 1):\n self._score += change","def update(self):\n with torch.no_grad():\n self.preprocess_rollout()\n \n # DEEP-RL TUTORIALS: КОСТЫЛЬ\n #self.advantages = self.returns[:-1] - self.values[:-1]\n #self.advantages = (self.advantages - self.advantages.mean()) / (self.advantages.std() + 1e-5)\n \n # going through rollout several (config.epochs) times:\n for epoch in range(self.config.epochs):\n # TODO: drop last = False? What if there is 1 sample?\n sampler = BatchSampler(SubsetRandomSampler(range(self.env.num_envs * self.config.rollout)), self.config.batch_size, drop_last=False)\n \n for indices in sampler:\n # retrieving new batch as part of rollout\n self.returns_b = self.returns.view(-1, *self.config.value_repr_shape)[indices]\n self.old_values_b = self.values.view(-1, *self.config.value_repr_shape)[indices]\n self.old_action_log_probs_b = self.action_log_probs.view(-1)[indices]\n #self.advantages_b = self.advantages.view(-1)[indices] # КОСТЫЛЬ\n \n # calculating current value, action_log_prob, entropy\n dist, self.values_b = self.policy(self.observations.view(-1, *self.config.observation_shape)[indices])\n self.values_b = self.values_b.squeeze() # IMPORTANT ([32] - [32, 1] problem)\n self.action_log_probs_b = dist.log_prob(self.actions.view(-1, *self.config.actions_shape)[indices])#.sum(dim=-1) \n self.entropy_b = dist.entropy()#.sum(dim=-1)\n \n # performing step\n self.gradient_ascent_step()","def _measurement_update(self, y_i, h_tilde, pert_m, k_gain, cov_m):\n innovation = np.subtract(np.transpose(y_i),\n np.matmul(h_tilde, pert_m))\n pert_p = np.add(pert_m, np.matmul(k_gain, innovation))\n\n L = np.subtract(np.identity(len(self.istate)),\n np.matmul(k_gain, h_tilde))\n\n cov_p = np.matmul(L, cov_m)\n\n return (cov_p, pert_p)","def update(self, history):\n\n N = history.nsequence_histories\n\n sequences = history.sequence_histories\n\n variances = np.var(sequences, axis=2)\n\n means = np.mean(sequences, axis=2)\n\n withinChainVariances = np.mean(variances, axis=0)\n\n betweenChainVariances = np.var(means, axis=0) * N\n\n varEstimate = (1 - 1.0 / N) * withinChainVariances + (\n 1.0 / N\n ) * betweenChainVariances\n\n if np.abs(withinChainVariances).all() > 0:\n self._R = np.sqrt(varEstimate / withinChainVariances)\n else:\n self._R = np.random.uniform(0.1, 0.9, withinChainVariances.__len__())\n\n # self._W can be a float or an array, in both cases I want to exclude 0.0 values\n try:\n if self._W != 0.0:\n if (withinChainVariances / self._W).all() <= 0.0:\n self._WChange = np.abs(np.log(1.1) ** 0.5)\n else:\n self._WChange = np.abs(\n np.log(withinChainVariances / self._W) ** 0.5\n )\n else:\n self._WChange = np.abs(np.log(1.1) ** 0.5)\n except ValueError:\n if self._W.all() != 0.0:\n if (withinChainVariances / self._W).all() <= 0.0:\n self._WChange = np.abs(np.log(1.1) ** 0.5)\n else:\n # log of values less then 1 gives a negative number, where I replace these values to get square working\n tmp_WChDV = varEstimate / self._V\n tmp_WChDV[tmp_WChDV < 1.0] = np.random.uniform(1, 5, 1)\n self._WChange = np.abs(np.log(tmp_WChDV) ** 0.5)\n else:\n self._WChange = np.abs(np.log(1.1) ** 0.5)\n\n self._W = withinChainVariances\n\n if (varEstimate / self._V).any() <= 0.0 or np.isnan(\n varEstimate / self._V\n ).any():\n self._VChange = np.abs(np.log(1.1) ** 0.5)\n else:\n # log of values less then 1 gives a negative number, where I replace these values to get square working\n tmp_EsDV = varEstimate / self._V\n tmp_EsDV[tmp_EsDV < 1.0] = np.random.uniform(1, 5, 1)\n self._VChange = np.abs(np.log(tmp_EsDV) ** 0.5)\n\n self._V = varEstimate","def _learn(self, state):\n p_state, p_action = self.prev\n if p_state is None:\n return\n self.Q[p_state][p_action] = self.learning_rate * (self.R(state) + self.discount * max(self.Q[state].values())) - self.Q[p_state][p_action]","def step(self, estim: EstimBase) -> None:\n _, results = estim.get_last_results()\n results = [self.to_metrics(res) for res in results]\n self.metrics.extend(results)\n if len(self.metrics) >= len(self.population):\n self.population = self._mating(self.population)\n self.metrics = []","def set_score(self, points):\n self.score += points","def estimate_ate2(Y, X, treatment_column, model, label_column, variable_name, propensity_name):\n\n propensity = X[propensity_name]\n X = X[variable_name]\n gold = Y[label_column]\n num_of_units = gold.shape[0]\n\n part_one = (1/num_of_units)*sum((gold * X[treatment_column])/propensity)\n print(\"part one2 is: \", part_one)\n part_two = (1 / num_of_units) * sum((gold * (1-X[treatment_column])) / (1-propensity))\n print(\"part two2 is: \", part_two)\n ATE = part_one - part_two\n\n return ATE","def one_step_update(model, posterior_tm1, Y_t):\n prediction = model.transmat_ @ posterior_tm1\n likelihood = np.exp(model._compute_log_likelihood(Y_t))\n posterior_t = prediction * likelihood\n return posterior_t","def vanilaScore(self,attended,state,W):","def take_test(exam, student):\n\n student.score = exam.administer()\n return student.score","def update(self, state, action, nextState, reward):\n \"*** YOUR CODE HERE ***\"\n features = self.featExtractor.getFeatures(state,action)\n\n learning_rate = self.alpha #gives us the learning rate\n\n temporary_QValue = self.getQValue(state,action) #to get the Q value of the state,action pair\n\n nextState_QValue = self.getValue(nextState) #to get the Q value of the landing state when taken action a and state s\n\n discount_factor = self.discount #to get the gamma/ discount factor\n\n weight = self.weights\n\n Q_Value = 0\n\n difference = (reward + discount_factor * nextState_QValue ) - (temporary_QValue) #refer to README_Reinforcement.txt for the formula\n\n for each_feature in features:\n\n #refer to README_Reinforcement.txt for the formula at line 20\n weight[each_feature] = weight[each_feature] + learning_rate * difference * features[each_feature]\n\n #util.raiseNotDefined()","def update(self,**kwargs):\n self._update_from_kwargs(**kwargs)\n #--- calc estimated chops from chop length\n self._calc_estimated_chops_from_timepoints()\n #--- adjust chops for stimulusresponse\n self._adjust_chops_for_stimulus_response()\n #--- update annotations\n self._update_annotations()\n #--- get info\n if self.verbose:\n self.GetInfo()\n #--- show plot\n if self.show:\n self.show_chops()","def test_smoohted_LM(self):\n\t\tprecision = 10**-8\n\t\t\t\t \n\t\tif self.n == 1:\n\t\t\t\t \n\t\t\tP_sum = sum(self.estimate_smoothed_prob('', w) for w in self.vocab)\n\t\t\t\n\t\t\tassert abs(1.0 - P_sum) < precision, 'Probability mass does not sum up to one.'\n\t\t\t\t \n\t\telif self.n == 2:\n\t\t\thistories = ['the', 'in', 'at', 'blue', 'white']\n\t\t\t\t \n\t\t\tfor h in histories:\n\t\t\t\t \n\t\t\t\tP_sum = sum(self.estimate_smoothed_prob(h, w) for w in self.vocab)\n\t\t\t\t\n\t\t\t\tassert abs(1.0 - P_sum) < precision, 'Probability mass does not sum up to one for history' + h\n\t\t\t\t\t \n\t\tprint('TEST SUCCESSFUL!')\n\t\t# YOUR CODE HERE","def habit_update(self, s, u_idx, r_disc):\n\n r_exp = s.dot(self.Q[u_idx]) # expected reward of state - action\n v_upd = self.alpha * (r_disc - r_exp) # value update\n self.Q[u_idx] += v_upd * s # update by weighted state estimate","def score(self):","def test_update_story_timestamp(self):\n title = ('Transportation Challenges Limit Education Choices for '\n 'Denver Parents')\n summary = \"\"\"\n Many families in the Denver metro area use public\n transportation instead of a school bus because for them, a\n quality education is worth hours of daily commuting. Colorado's\n school choice program is meant to foster educational equity,\n but the families who benefit most are those who have time and\n money to travel. Low-income families are often left in a lurch.\n \"\"\"\n byline = \"Mile High Connects\"\n story = create_story(title=title, summary=summary, byline=byline)\n section = create_section(title=\"Test Section 1\", story=story)\n sleep(2)\n section.save()\n self.assertNowish(story.last_edited)"],"string":"[\n \"def assign_estimate(self, estimate):\\r\\n update_story_url =\\\"https://www.pivotaltracker.com/services/v3/projects/{}/stories/{}?story[estimate]={}\\\".format(self.project_id, self.story_id, estimate)\\r\\n response = _perform_pivotal_put(update_story_url)\",\n \"def estimate(self, estimate):\\n\\n self._estimate = estimate\",\n \"def assign_estimate(self, estimate):\\n return self.update(estimate=estimate)\",\n \"def estimate(self) -> None:\\n pass\",\n \"def update_Q(self, reward):\\n old_estimate = self.q_estimates[self.prev_action]\\n self.q_estimates[self.prev_action] = old_estimate + 1/self.N[self.prev_action] * (reward - old_estimate)\",\n \"def evaluate(self, story):\\n raise NotImplementedError\",\n \"def evaluate(self, story):\\n raise NotImplementedError\",\n \"def evaluate(self, story):\\n raise NotImplementedError\",\n \"def update(self,x): #update the estimate of rewards and number of esteps run\\n\\t\\tself.N += 1\\n\\t\\tself.estimate_mean = (1.0-1.0/self.N)*self.estimate_mean + (1.0/self.N)*x #recurence relation for averages\",\n \"def evaluate(self, story):\\n # DO NOT CHANGE THIS!\\n raise NotImplementedError\",\n \"def run():\\n return estimate(0,1,0)\",\n \"def update_score():\\n pass\",\n \"def test_update_goal_metric(self):\\n pass\",\n \"def evaluate_design(self): # to update the pr object\",\n \"def update(self, state, action, nextState, reward):\\n \\\"\\\"\\\"Description:\\n Use second equation in slide 71 of MDP\\n Adjest weight of active features depend on tranistion \\n \\\"\\\"\\\"\\n \\\"\\\"\\\" YOUR CODE HERE \\\"\\\"\\\"\\n feat = self.featExtractor.getFeatures(state, action)\\n\\n # if weight is empty, then weight will need to initial to 1 for all features\\n # According to which Extractor user choose, weight counter will have equal number of keys.\\n if len(self.weight) == 0:\\n feat = self.featExtractor.getFeatures(state, action)\\n self.weight.incrementAll(feat.keys(), 1)\\n \\n maxQns = self.getValue(nextState)\\n if maxQns == None:\\n maxQns = 0\\n Qsa = self.getQValue(state, action)\\n difference = ( reward + self.discountRate * maxQns ) - Qsa\\n \\n for key in self.weight.keys():\\n self.weight[key] += (self.alpha * difference * feat[key])\\n \\n \\n \\\"\\\"\\\" END CODE \\\"\\\"\\\"\",\n \"def _update_optimizer(self, hyperparameters, score, fit=True):\\n if self.do_maximize:\\n score = -score\\n self.optimizer_result = self.optimizer.tell(hyperparameters, score, fit=fit)\",\n \"def _update(self, bandit): \\n \\n bandit_logs = self.logging[bandit]\\n bandit = bandit.id\\n if not bandit_logs['actions']:\\n estimate = 0 # if not taken till now then 0 is assigned\\n actions = 0\\n else:\\n estimate = bandit_logs['reward'] / bandit_logs['actions'] # if not assigned\\n actions = bandit_logs['actions']\\n self.mu[bandit] = (self.mu_pri[bandit]/self.var_pri[bandit] + actions*estimate/self.var0)/(actions/self.var0 + 1/self.var_pri[bandit])\\n self.var[bandit] = 1/(actions/self.var0 + 1/self.var[bandit])\",\n \"def _update(self, bandit): \\n \\n bandit_logs = self.logging[bandit]\\n bandit = bandit.id\\n estimate = bandit_logs['reward'] / bandit_logs['actions'] # if not assigned\\n actions = bandit_logs['actions']\\n self.mu[bandit] = (self.mu_pri[bandit]/self.var_pri[bandit] + actions*estimate/self.var0)/(actions/self.var0 + 1/self.var_pri[bandit])\\n self.var[bandit] = 1/(actions/self.var0 + 1/self.var[bandit])\",\n \"def update_estimator(self):\\n self.optimizer.step()\\n self.optimizer.zero_grad()\",\n \"def update_estimator(self):\\n self.optimizer.step()\\n self.optimizer.zero_grad()\",\n \"def update_goal(self):\\n pass\",\n \"def update(self, s, a, td_target):\\n features = self.featurize_state(s)\\n self.models[a].partial_fit([features], [td_target]) # recall that we have a seperate funciton for each a \",\n \"def test_update_fitness():\\n herb1 = Herbivore(10)\\n original_fitness = herb1.fitness\\n herb1.feeding(10)\\n nt.assert_not_equal(herb1.fitness, original_fitness)\",\n \"def thesis(self, new_thesis):\\r\\n self.__thesis = 'Thesis: ' + new_thesis\",\n \"def update_score(self):\\n self.score = TurboMQ.calculate_fitness(self.result, self.graph)\",\n \"def _update_step(self, *, observations: types.ObservationsTorch) -> None:\",\n \"def _update_distribution(self, trajectories):\\n costs = trajectories[\\\"costs\\\"].copy()\\n actions = trajectories[\\\"actions\\\"].copy()\\n Q = cost_to_go(costs, self.gamma_seq)\\n best_id = np.argmin(Q, axis = 0)[0]\\n self.mean_action = (1.0 - self.step_size) * self.mean_action +\\\\\\n self.step_size * actions[best_id]\",\n \"def update_percent(self):\",\n \"def stepETAUpdate(build, step, ETA, expectations):\",\n \"def update(self, state, action, nextState, reward):\\n \\\"*** YOUR CODE HERE ***\\\"\\n\\n position = state.getPacmanPosition()\\n\\n temporal_difference = reward + self.discount * self.computeValueFromQValues(nextState) - self.getQValue(state, action)\\n\\n val = self.getQValue(state, action) + self.alpha * temporal_difference\\n\\n self.values[(str(position), action)] = val\\n\\n with open(\\\"dataFakeGoal.txt\\\", \\\"a+\\\") as f:\\n f.write(str(position) + \\\"|\\\" + action + \\\"|\\\" + str(val) + \\\"\\\\n\\\")\",\n \"def update(self, state, action, nextState, reward):\\n \\\"*** YOUR CODE HERE ***\\\"\\n\\n position = state.getPacmanPosition()\\n\\n temporal_difference = reward + self.discount * self.computeValueFromQValues(nextState) - self.getQValue(state, action)\\n\\n val = self.getQValue(state, action) + self.alpha * temporal_difference\\n\\n self.values[(str(position), action)] = val\\n\\n with open(\\\"dataFakeGoal1.txt\\\", \\\"a+\\\") as f:\\n f.write(str(position) + \\\"|\\\" + action + \\\"|\\\" + str(val) + \\\"\\\\n\\\")\",\n \"def set_score(self, change):\\n self._score = self._score + change\",\n \"def update(self, state, action, nextState, reward):\\n \\\"*** YOUR CODE HERE ***\\\"\\n\\n position = state.getPacmanPosition()\\n\\n temporal_difference = reward + self.discount * self.computeValueFromQValues(nextState) - self.getQValue(state, action)\\n\\n val = self.getQValue(state, action) + self.alpha * temporal_difference\\n\\n self.values[(str(position), action)] = val\\n\\n with open(\\\"dataRealGoal.txt\\\", \\\"a+\\\") as f:\\n f.write(str(position) + \\\"|\\\" + action + \\\"|\\\" + str(val) + \\\"\\\\n\\\")\",\n \"def update_value(self, reward):\\n\\t\\tval = self.value\\n\\t\\tval = val + ((reward - val)/self.visited)\\n\\t\\tself.value = val\",\n \"def prob_update(self):\\n pass\",\n \"def update(self, game):\\n super().update(game)\\n self.nn_def.set_score(self.score)\",\n \"def update(self):\\n\\n # get states, actions, rewards and total timesteps from memory\\n states, actions, R, T = self.memory.get()\\n n_ep = len(R)\\n\\n # compute value estimates for the states\\n v = self.critic(states)\\n\\n # compute advantages (using GAE) and rewards to go\\n A, rtg = utils.gae_rtg((R, v, T), self.gam, self.lam)\\n\\n # store the initial version of both the policy and the log probs of the\\n # actions for later comparison with the future versions (needed for PPO)\\n policy_old = copy.deepcopy(self.policy)\\n log_probs_old = policy_old(states).log_prob(actions)\\n\\n # sample from a batch of experiences\\n # (\\\"_\\\" subscript indicates \\\"sampled from\\\")\\n for (v_, A_, rtg_, log_probs_old_), i in utils.sample_batch((v, A, rtg, log_probs_old), self.batch_size, self.policy_updates):\\n log_probs_ = self.policy(states).log_prob(actions)[i]\\n\\n # estimate ratio between the new log probs and the old ones\\n r_ = torch.exp(log_probs_ - log_probs_old_)\\n\\n l_1 = r_ * A_\\n l_2 = torch.clamp(r_, 1-self.eps, 1+self.eps) * A_\\n\\n # TODO: implement entropy\\n # TODO: merge policy and critic\\n\\n # surragate loss function for PPO\\n l_clip = -torch.mean(torch.min(l_1, l_2))\\n\\n # update the policy\\n self.policy_optimizer.zero_grad()\\n l_clip.backward(retain_graph=True)\\n self.policy_optimizer.step()\\n\\n # sample a batch of value estimates and the corresponding rewards to go\\n # to update the value function.\\n for (v_, rtg_), _ in utils.sample_batch((v, rtg), self.batch_size, self.v_updates):\\n # compute the loss\\n critic_loss = F.mse_loss(v_, rtg_)\\n\\n # update the critic\\n self.critic_optimizer.zero_grad()\\n critic_loss.backward(retain_graph=True)\\n self.critic_optimizer.step()\\n\\n # clear the memory. PPO is an On-Policy method so we don't need these\\n # memories anymore\\n self.memory.clear()\\n\\n # return the loss of the value function for display\\n return F.mse_loss(v, rtg)\",\n \"def update(self, state, action, nextState, reward):\\n \\\"*** YOUR CODE HERE ***\\\"\\n diff = reward + self.discount * self.computeValueFromQValues(nextState) - self.getQValue(state, action)\\n for feature_name, feature_value in self.featExtractor.getFeatures(state, action).iteritems():\\n self.weights[feature_name] += self.alpha * diff * feature_value\",\n \"def update(self, state, action, nextState, reward):\\n \\\"*** YOUR CODE HERE ***\\\"\\n diff = reward + self.discount * self.computeValueFromQValues(nextState) - self.getQValue(state, action)\\n for feature_name, feature_value in self.featExtractor.getFeatures(state, action).iteritems():\\n self.weights[feature_name] += self.alpha * diff * feature_value\",\n \"def updateVisitStatistics(self, s, a, s_) :\\n self.N[s, a, s_] += 1\\n self.Ntotal[s, a] += 1\\n self.PHat[s, a] = self.N[s, a] / self.Ntotal[s, a]\\n self.omega[s, a] = confidenceRadius(self.mdp, self.Ntotal[s, a], self.delta_)\",\n \"def update(self, state, action, nextState, reward):\\n \\\"*** YOUR CODE HERE ***\\\"\\n\\n position = state.getPacmanPosition()\\n\\n temporal_difference = reward + self.discount * self.computeValueFromQValues(nextState) - self.getQValue(state, action)\\n\\n val = self.getQValue(state, action) + self.alpha * temporal_difference\\n\\n self.values[(str(position), action)] = val\\n\\n with open(\\\"penalty.txt\\\", \\\"a+\\\") as f:\\n f.write(str(position) + \\\"|\\\" + action + \\\"|\\\" + str(val) + \\\"\\\\n\\\")\",\n \"def update_state(self, a, obs, t):\\n \\n self.update_weights(a, obs, t) # only update weights, not particles \\n self.update_running_average_weights(t) \\n return None\",\n \"def _adjust_score(self, my_choice, their_choice):\\n self._score += p.params['score_matrix'][my_choice][their_choice]\\n self._score -= p.params['loss_per_tick']\",\n \"def updateToplogy(self):\\r\\n raise NotImplementedError\",\n \"def update(self, state, action, nextState, reward):\\n \\\"*** YOUR CODE HERE ***\\\"\\n # print \\\"update\\\"\\n oldValue = self.getQValue(state, action)\\n sample = reward + self.discount*self.computeValueFromQValues(nextState)\\n self.qValues[(state, action)] = (1-self.alpha)*oldValue + self.alpha*(sample)\",\n \"def update(self, state, action, nextState, reward):\\n \\\"*** YOUR CODE HERE ***\\\"\\n feature_dictionary = self.featExtractor.getFeatures(state, action)\\n difference = (reward + self.discount * self.computeValueFromQValues(nextState)) - self.getQValue(state, action)\\n\\n for feature in feature_dictionary:\\n self.weights[feature] += self.alpha * difference * feature_dictionary[feature]\\n\\n #if self.epsilon > self.epsilon_min:\\n # self.epsilon *= self.epsilon_decay\",\n \"def update(self, initial, follows):\",\n \"def update(self, state, action, nextState, reward):\\n # print \\\"Update\\\"\\n difference = (reward + self.discount*self.compValFromState(nextState)) - self.getQValue(state, action)\\n features = self.featExtractor.getFeatures(state, self.index)\\n #print \\\"features\\\", features, \\\"difference\\\", difference, \\\"weights\\\", self.weights\\n for key in self.weights:\\n self.weights[key] = self.alpha * difference * features[key]\",\n \"def increase(self, points):\\n self.score += points\",\n \"def tell(self, observation):\\n self.time += 1\\n new_distribution = [0] * self.num_states\\n for s1 in range(self.num_states):\\n sensor_term = self.sensor_model(observation, s1)\\n prior = 0\\n for s0 in range(self.num_states):\\n prior += self.transition_model(s0, s1) * self.distribution[s0]\\n new_distribution[s1] = sensor_term * prior\\n\\n self.distribution = new_distribution\\n self.distribution = [x / float(sum(self.distribution)) for x in self.distribution]\",\n \"def update(self, steps, rewards, i_episode):\\n self.total_steps += steps\\n self.score = sum(rewards)\\n self.scores_window.append(self.score)\\n self.scores.append(self.score)\\n self.avg_score = np.mean(self.scores_window)\\n self.avg_scores.append(self.avg_score)\\n self.std_dev = np.std(self.scores_window)\\n # update best average score\\n if self.avg_score > self.best_avg_score and i_episode > 100:\\n self.best_avg_score = self.avg_score\",\n \"def update(self, state, action, nextState, reward):\\n \\\"\\\"\\\"Description:\\n Use Q-Learning algoritm in slide 58 of MDP\\n \\\"\\\"\\\"\\n \\\"\\\"\\\" YOUR CODE HERE \\\"\\\"\\\"\\n maxQns = self.getValue(nextState) # get max q-value of next state\\n if maxQns == None:\\n maxQns = 0\\n Qsa = self.getQValue(state, action) #self.qValues[(state, action)]\\n difference = reward + self.discountRate * maxQns - Qsa\\n self.qValues[(state, action)] += self.alpha * difference\\n \\n self.vitCount[(state, action)] += 1\\n \\\"\\\"\\\" END CODE \\\"\\\"\\\"\",\n \"def take_test(exam, student):\\n\\n student.score = exam.administer()\",\n \"def update(self, obs, actions, rewards, new_obs):\\n pass\",\n \"def update_fit(self, X, y):\\n pass\",\n \"def increase_learning(self, factor):\\n pass\",\n \"def measure(self, imgage, previous=None):\",\n \"def update(experience_buffer, returns):\\n rewards = np.array(experience_buffer[2])\\n discount_rewards = rewards * (FLAGS.GAMMA ** np.arange(len(rewards)))\\n current_return = discount_rewards.sum()\\n returns.append(current_return)\\n returns = returns[-100:] # Get recent 100 returns.\\n baseline = sum(returns) / len(returns) # Baseline is the average of 100 returns.\\n sess.run(train_op, {observation_: experience_buffer[0],\\n action_: experience_buffer[1],\\n advantage_: current_return - baseline}) \\n return returns\",\n \"def update(self, s, a, y):\\r\\n features = self.featurize_state(s)\\r\\n self.models[a].partial_fit([features], [y])\",\n \"def update(self, state, action, nextState, reward):\\n \\\"*** YOUR CODE HERE ***\\\"\\n feature_dictionary = self.featExtractor.getFeatures(state, action)\\n difference = (reward + self.discount * self.computeValueFromQValues(nextState)) - self.getQValue(state, action)\\n\\n for feature in feature_dictionary:\\n self.weights[feature] += self.alpha * difference * feature_dictionary[feature]\",\n \"def update(self, strategy):\\n if strategy.experience.current_experience <= self._current_experience:\\n TopkAccuracyPluginMetric.update(self, strategy)\",\n \"def estimate(values, target):\\n\\n # next time\\n # diff(values)\\n\\n\\n return 1.\",\n \"def update_policy(self):\\n self.optimizer.step()\\n self.optimizer.zero_grad()\",\n \"def update(self, state, action, nextState, reward):\\n \\\"*** YOUR CODE HERE ***\\\"\\n\\n temporal_difference = reward + self.discount * self.computeValueFromQValues(nextState) - self.getQValue(state, action)\\n\\n val = self.getQValue(state, action) + self.alpha * temporal_difference\\n\\n self.values[(str(state), action)] = val\",\n \"def update_score(self, engine, *args):\\n #pdb.set_trace()\\n self.score_label.text = \\\"Gold: {}/{}\\\".format(str(engine.score),\\n str(engine.win_score))\",\n \"def refresh(self):\\n self.reward = 0\\n self.score = 0\",\n \"def adjust_score(self):\\n self.score += game.temporary_score\",\n \"def test_update_goal(self):\\n pass\",\n \"def testUpdate(self):\\n gen = self.gen\\n prof = self.profile\\n\\n # Make sure attributes get updated with a change in the calculation\\n # points.\\n x = arange(0, 9, 0.1)\\n prof.setCalculationPoints(x)\\n self.assertTrue(gen._value is None)\\n val = gen.value\\n self.assertTrue(array_equal(x, prof.ycalc))\\n self.assertTrue(array_equal(prof.x, prof.ycalc))\\n self.assertTrue(array_equal(val, prof.ycalc))\\n self.assertTrue(array_equal(gen._value, prof.ycalc))\\n\\n # Make sure attributes get updated with a new profile.\\n x = arange(0, 8, 0.1)\\n prof = Profile()\\n prof.setCalculationPoints(x)\\n gen.setProfile(prof)\\n self.assertTrue(gen._value is None)\\n val = gen.value\\n self.assertTrue(array_equal(x, prof.ycalc))\\n self.assertTrue(array_equal(prof.x, prof.ycalc))\\n self.assertTrue(array_equal(val, prof.ycalc))\\n self.assertTrue(array_equal(gen._value, prof.ycalc))\\n return\",\n \"def increase_score(self):\\n self.score += 1\",\n \"def create_estimated_score( X_new\\n ,Y_pred\\n ,base\\n ,time_signature_input_file\\n ,key_signature_input_file\\n ,score_title\\n ,composer\\n ):\\n\\n # Debug info:\\n #print(\\\"\\\\n\\\\n\\\")\\n #print(\\\"Estimated output in notes (Notename, octave and quarterLength):\\\")\\n #for r in Y_pred:\\n #\\n # # round to a 0.25 resolution because input used 1/4 notes\\n # t=r[2]\\n # BASE=0.25\\n # v=t + (BASE - t) % BASE\\n # print(nc.getNoteName(int(round(r[0])), enharmonic=False),int(round(r[1])), v)\\n\\n\\n # *** Create the score with estimated notes ***\\n # *********************************************\\n # https://web.mit.edu/music21/doc/usersGuide/usersGuide_06_stream2.html\\n estimatedScore = m.stream.Stream()\\n\\n # Set Meta Data in estimated score\\n meta_data = m.metadata.Metadata()\\n meta_data.title = score_title\\n today = date.today()\\n # YYYY/mm/dd\\n d1 = today.strftime(\\\"%d/%m/%Y\\\")\\n meta_data.date = str(d1)\\n meta_data.composer = composer+\\\" (\\\"+str(d1)+\\\")\\\"\\n\\n upperStaffClef=m.clef.TrebleClef()\\n lowerStaffClef=m.clef.BassClef()\\n\\n myPart = m.stream.Part()\\n myPart_UpperStaff = m.stream.Part()\\n # set Clef UpperStaff\\n myPart_UpperStaff.append(upperStaffClef)\\n\\n # set TimeSignature UpperStaff\\n myPart_UpperStaff.append(time_signature_input_file)\\n \\n # set keySignature UpperStaff\\n myPart_UpperStaff.append(key_signature_input_file)\\n \\n myPart_LowerStaff = m.stream.Part()\\n # set Clef UpperStaff\\n myPart_LowerStaff.append(lowerStaffClef)\\n\\n # set TimeSignature LowerStaff\\n myPart_LowerStaff.append(time_signature_input_file)\\n \\n # set keySignature LowerStaff\\n myPart_LowerStaff.append(key_signature_input_file)\\n\\n # Do not use a Measure object\\n # If you use a Time Signature object without a Measure object\\n # when adding a notes, to a stream, measures are filled\\n # automatically bases on note lengths\\n myNote = m.note.Note()\\n\\n myPart_UpperStaff.partName=\\\"Piano Upper\\\"\\n myPart_LowerStaff.partName=\\\"Piano Lower\\\"\\n \\n print(\\\"\\\\n\\\\n\\\")\\n print(\\\"process measures\\\")\\n itrNote = m.note.Note()\\n if (X_new.shape[0] == Y_pred.shape[0]):\\n # Normal Score\\n cnt=0 # counter to sync X and Y (sync time and Notes)\\n curMeasure=1\\n noteCount=0\\n for e in X_new:\\n \\n # Decoding Y_pred: get note properies \\n # Do the encoding as inverse of the decoding (see above) \\n note_properties = Y_pred[cnt]\\n #print(\\\"!!! note_properties[\\\", cnt, \\\"]\\\", note_properties)\\n curNoteName=nc.getNoteName(int(round(note_properties[0])), enharmonic=False)\\n print(\\\"curNoteName\\\", curNoteName)\\n curNoteOctave = int(round(note_properties[1]))\\n #print(\\\"curNoteOctave\\\", curNoteOctave)\\n \\n # Process quarterDuration\\n curNotequarterDuration = roundTo(note_properties[2], base)\\n \\n itrMeasure=int(e[0])\\n itrOffset=e[1]\\n print(\\\"ToDo itrMeasure=\\\", itrMeasure, \\\"itrOffset:\\\", itrOffset)\\n \\n myNote=m.note.Note( name=curNoteName\\n ,quarterLength=curNotequarterDuration\\n ,octave=curNoteOctave\\n ,offset=itrOffset\\n #,type=\\\"quarter\\\" # use quarterLength or type not both\\n )\\n \\n # if you use a time signature object without a measure object then because of\\n # the time signature measures are filled automatically by notes based on\\n # its note duration\\n myPart_UpperStaff.insert(cnt, myNote) \\n noteCount=noteCount+1 \\n cnt=cnt+1\\n print(\\\"cnt:\\\", cnt) \\n else:\\n # Unbalanced Score\\n print(\\\"Program error: Score not balanced\\\") \\n \\n estimatedScore.insert(0, meta_data)\\n estimatedScore.insert(1, myPart_UpperStaff)\\n \\n \\n # *** Add a dummy LowerStaff with a dummy rest to create a Grand piano staff ***\\n # When more staves are used, all staves\\n # must be filled, before append to the total stream,\\n # otherwise you get a corrupted stream when\\n # empty staves are added to the total stream.\\n dummyRest = m.note.Rest()\\n dummyRest.duration.type='quarter'\\n myPart_LowerStaff.insert(cnt, dummyRest)\\n # If you do not want a grand staff comment statement below \\n # ToDo problem with creating lowerStaff !!!!!!!!!!!!!!!!!!!!!!\\n ##estimatedScore.insert(2, myPart_LowerStaff)\\n \\n return(estimatedScore) # create_estimated_score\",\n \"def _update(\\n self,\\n measurements,\\n observer_matrix,\\n measurement_noise,\\n time_diff_s\\n ):\\n # Prediction step\\n transition = self._prediction_step(time_diff_s)\\n\\n # Update uncertainty\\n # P = A * P * A' + Q\\n self._covariance_matrix = \\\\\\n transition * self._covariance_matrix * transition.transpose() \\\\\\n + self._process_noise\\n\\n # Compute the Kalman gain\\n # K = P * H' * inv(H * P * H' + R)\\n hphtr = (\\n observer_matrix\\n * self._covariance_matrix\\n * observer_matrix.transpose()\\n + measurement_noise\\n )\\n try:\\n hphtri = hphtr.getI()\\n except numpy.linalg.linalg.LinAlgError:\\n for diagonal_index in range(len(hphtr)):\\n diagonal_value = hphtr[diagonal_index].item(diagonal_index)\\n if diagonal_value == 0.0:\\n hphtr[diagonal_index].itemset(diagonal_index, 0.00001)\\n hphtri = hphtr.getI()\\n\\n kalman_gain = \\\\\\n self._covariance_matrix * observer_matrix.transpose() * hphtri\\n\\n # Determine innovation or residual and update our estimate\\n # x = x + K * (z - H * x)\\n zhx = measurements - observer_matrix * self._estimates\\n heading_d = zhx[2].item(0)\\n while heading_d > 180.0:\\n heading_d -= 360.0\\n while heading_d <= -180.0:\\n heading_d += 360.0\\n zhx[2].itemset(0, heading_d)\\n\\n self._estimates = self._estimates + kalman_gain * zhx\\n from control.telemetry import Telemetry\\n heading_d = Telemetry.wrap_degrees(self._estimates[2].item(0))\\n self._estimates[2].itemset(0, heading_d)\\n\\n # Update the covariance\\n # P = (I - K * H) * P\\n self._covariance_matrix = (\\n numpy.identity(len(kalman_gain)) - kalman_gain * observer_matrix\\n ) * self._covariance_matrix\\n\\n assert len(self._estimates) == 4 and len(self._estimates[0]) == 1, \\\\\\n 'Estimates should be size 4x1 but is {}x{} after update'.format(\\n len(self._estimates),\\n len(self._estimates[0])\\n )\",\n \"def update(self, state, y):\\n y_pred = self.model(torch.Tensor(state))\\n loss = self.criterion(y_pred, Variable(torch.Tensor(y)))\\n self.optimizer.zero_grad()\\n loss.backward()\\n self.optimizer.step()\",\n \"def horde_step(self, observation):\",\n \"def act(self, state, eps=0.):\",\n \"def set_offensive_ratio(self):\\n bx = self.get_standard_stats()\\n team = self.get_team_stats()\\n opp_team = self.get_opp_team_stats()\\n if bx[\\\"minutes\\\"] > 0 and (bx[\\\"t2p_int\\\"] + bx[\\\"t3p_int\\\"]) > 0:\\n fgm = bx[\\\"t2p_conv\\\"] + bx[\\\"t3p_conv\\\"]\\n fga = bx[\\\"t2p_int\\\"] + bx[\\\"t3p_int\\\"]\\n team_fgm = team[\\\"t2p_conv\\\"] + team[\\\"t3p_conv\\\"]\\n team_fga = team[\\\"t2p_int\\\"] + team[\\\"t3p_int\\\"]\\n team_points = team[\\\"t2p_conv\\\"]*2 + team[\\\"t3p_conv\\\"]*3 + team[\\\"tl_conv\\\"]\\n points = bx[\\\"t2p_conv\\\"]*2 + bx[\\\"t3p_conv\\\"]*3 + bx[\\\"tl_conv\\\"]\\n\\n try:\\n qAST = (Decimal(bx[\\\"minutes\\\"] / (team[\\\"minutes\\\"] / 5)) * (Decimal('1.14') * Decimal((team[\\\"assists\\\"] - bx[\\\"assists\\\"]) / team_fgm))) + \\\\\\n Decimal((((team[\\\"assists\\\"] / team[\\\"minutes\\\"]) * bx[\\\"minutes\\\"] * 5 - bx[\\\"assists\\\"]) / ((team_fgm / team[\\\"minutes\\\"]) * bx[\\\"minutes\\\"] * 5 - fgm)) * (1 - (bx[\\\"minutes\\\"] / (team[\\\"minutes\\\"] / 5))))\\n except ZeroDivisionError:\\n print(BCOLORS.WARNING + \\\"Error: División por cero\\\" + BCOLORS.ENDC)\\n qAST = 1\\n except InvalidOperation:\\n print(BCOLORS.WARNING + \\\"Error: Invalid Operation\\\" + BCOLORS.ENDC)\\n qAST = 1\\n\\n fg_part = fgm * (1 - Decimal('0.5') * Decimal((points - bx[\\\"tl_conv\\\"]) / (2 * fga)) * qAST)\\n\\n try:\\n ast_part = Decimal('0.5') * Decimal(((team_points - team[\\\"tl_conv\\\"]) - (points - bx[\\\"tl_conv\\\"])) / (2*(team_fga - fga))) * bx[\\\"assists\\\"]\\n except ZeroDivisionError:\\n print(BCOLORS.WARNING + \\\"Error: División por cero\\\" + BCOLORS.ENDC)\\n ast_part = 0\\n\\n if bx[\\\"tl_int\\\"] > 0:\\n ft_part = Decimal(1 - (1 - (bx[\\\"tl_conv\\\"] / bx[\\\"tl_int\\\"]))**2) * Decimal('0.4') * bx[\\\"tl_int\\\"]\\n else:\\n ft_part = 0\\n team_scoring_poss = Decimal(team_fgm + Decimal(1 - (1 - (team[\\\"tl_conv\\\"] / team[\\\"tl_int\\\"]))**2) * team[\\\"tl_int\\\"] * Decimal('0.4'))\\n try:\\n team_orb_percentage = Decimal(team[\\\"reb_of\\\"] / (team[\\\"reb_of\\\"] + ((opp_team[\\\"reb_def\\\"] + opp_team[\\\"reb_of\\\"]) - opp_team[\\\"reb_of\\\"])))\\n except ZeroDivisionError:\\n print(BCOLORS.FAIL + \\\"Error: División por cero\\\" + BCOLORS.ENDC)\\n team_orb_percentage = 0\\n except InvalidOperation:\\n print(BCOLORS.FAIL + \\\"Error: Invalid Operation\\\" + BCOLORS.ENDC)\\n team_orb_percentage = 0\\n\\n team_play_percentage = Decimal(team_scoring_poss / (team_fga + team[\\\"tl_int\\\"] * Decimal('0.4') + team[\\\"turnovers\\\"]))\\n try:\\n team_orb_weight = ((1 - team_orb_percentage) * team_play_percentage) / ((1 - team_orb_percentage) * team_play_percentage + team_orb_percentage * (1 - team_play_percentage))\\n except InvalidOperation:\\n print(BCOLORS.FAIL + \\\"Error: Invalid Operation\\\" + BCOLORS.ENDC)\\n team_orb_weight = 0\\n\\n orb_part = bx[\\\"reb_of\\\"] * team_orb_weight * team_play_percentage\\n\\n fg_x_poss = (fga - fgm) * (1 - Decimal('1.07') * team_orb_percentage)\\n if bx[\\\"tl_conv\\\"] > 0:\\n ft_x_poss = Decimal((1 - (bx[\\\"tl_conv\\\"] / bx[\\\"tl_int\\\"]))**2) * Decimal('0.4') * bx[\\\"tl_int\\\"]\\n else:\\n ft_x_poss = Decimal(1 - (bx[\\\"tl_conv\\\"] / 1)**2) * Decimal('0.4') * bx[\\\"tl_int\\\"]\\n try:\\n sc_poss = (fg_part + ast_part + ft_part) * (1 - (team[\\\"reb_of\\\"] / team_scoring_poss) * team_orb_weight * team_play_percentage) + orb_part\\n except InvalidOperation:\\n print(BCOLORS.FAIL + \\\"Error: Invalid Operation\\\" + BCOLORS.ENDC)\\n sc_poss =0\\n\\n tot_poss = sc_poss + fg_x_poss + ft_x_poss + bx[\\\"turnovers\\\"]\\n\\n pprod_fg_part = 2 * (fgm + Decimal('0.5') * bx[\\\"t3p_conv\\\"]) * (1 - Decimal('0.5') * Decimal((points - bx[\\\"tl_conv\\\"]) / (2 * fga)) * qAST)\\n\\n try:\\n pprod_ast_part = 2 * ((team_fgm - fgm + Decimal('0.5') * (team[\\\"t3p_conv\\\"] - bx[\\\"t3p_conv\\\"])) / (team_fgm - fgm)) * Decimal('0.5') * Decimal(((team_points - team[\\\"tl_conv\\\"]) - (points - bx[\\\"tl_conv\\\"])) / (2 * (team_fga - fga))) * bx[\\\"assists\\\"]\\n except:\\n pprod_ast_part = 0\\n\\n pprod_orb_part = bx[\\\"reb_of\\\"] * team_orb_weight * team_play_percentage * (team_points / (team_fgm + Decimal(1 - (team[\\\"tl_conv\\\"] / team[\\\"tl_int\\\"])**2) * Decimal('0.4') * team[\\\"tl_int\\\"]))\\n try:\\n pprod = (pprod_fg_part + pprod_ast_part + bx[\\\"tl_conv\\\"]) * (1 - (team[\\\"reb_of\\\"] / team_scoring_poss) * team_orb_weight * team_play_percentage) + pprod_orb_part\\n except InvalidOperation:\\n print(BCOLORS.FAIL + \\\"Error: Invalid Operation\\\" + BCOLORS.ENDC)\\n pprod = 0\\n\\n try:\\n result = 100 * (pprod / tot_poss)\\n except InvalidOperation:\\n print(BCOLORS.FAIL + \\\"Error: Invalid Operation\\\" + BCOLORS.ENDC)\\n result = 0\\n\\n # print(\\\"fgm: \\\" + str(fgm))\\n # print(\\\"fga: \\\" + str(fga))\\n # print(\\\"team_fgm: \\\" + str(team_fgm))\\n # print(\\\"team_fga: \\\" + str(team_fga))\\n # print(\\\"team_points: \\\" + str(team_points))\\n # print(\\\"points: \\\" + str(points))\\n # print(\\\"qAST: \\\" + str(qAST))\\n # print(\\\"fg_part: \\\" + str(fg_part))\\n # print(\\\"ast_part: \\\" + str(ast_part))\\n # print(\\\"ft_part: \\\" + str(ft_part))\\n # print(\\\"team_scoring_poss: \\\" + str(team_scoring_poss))\\n # print(\\\"team_orb_percentage: \\\" + str(team_orb_percentage))\\n # print(\\\"team_play_percentage: \\\" + str(team_play_percentage))\\n # print(\\\"team_orb_weight: \\\" + str(team_orb_weight))\\n # print(\\\"orb_part: \\\" + str(orb_part))\\n # print(\\\"fg_x_poss: \\\" + str(fg_x_poss))\\n # print(\\\"ft_x_poss: \\\" + str(ft_x_poss))\\n # print(\\\"sc_poss: \\\" + str(sc_poss))\\n # print(\\\"tot_poss: \\\" + str(tot_poss))\\n # print(\\\"pprod_fg_part: \\\" + str(pprod_fg_part))\\n # print(\\\"pprod_ast_part: \\\" + str(pprod_ast_part))\\n # print(\\\"pprod_orb_part: \\\" + str(pprod_orb_part))\\n # print(\\\"pprod: \\\" + str(pprod))\\n # print(\\\"result: \\\" + str(result) + \\\"\\\\n\\\")\\n else:\\n result = 0.00\\n\\n self.ortg = \\\"%.2f\\\" % round(result, 2)\\n if Decimal(self.ortg) < 0 or Decimal(self.ortg) >= 1000:\\n \\\"\\\"\\\"For one game, maybe we've got a negative result or one so big, so, for just only a game, we get the ORTG \\n using team's formula\\\"\\\"\\\"\\n print(BCOLORS.OKBLUE + \\\"ORTG negativo o superior a 1000 para jugadora => recalculamos a través de la fórmula de equipo\\\" + BCOLORS.ENDC)\\n bx = self.get_standard_stats()\\n result = round((bx[\\\"t2p_conv\\\"]*2 + bx[\\\"t3p_conv\\\"]*3 + bx[\\\"tl_conv\\\"])/self.get_team_possessions(), 2)\\n self.ortg = \\\"%.2f\\\" % result\",\n \"def change_score(self, change: float=1):\\n self._score += change\",\n \"def _adjust(self):\\n self.updateView()\\n\\n self.setDescription(\\n f\\\"Smoothing Factor: x{self.smoothingFactor()}\\\\n\\\"\\n f\\\"Method: {self.method()}\\\\n\\\"\\n f\\\"Smoother type: {self.smoother_type_to_name[self.smootherType()]}\\\"\\n )\",\n \"def update(self, sequence):\\n if len(sequence)==2:\\n self.trace[sequence[0][0]] = self.gamma * self.lam\\n self.trace[sequence[-1][0]] = 1\\n for state,reward in sequence:\\n self.expected[state] += self.alpha * self.delta * self.trace[state]\\n self.trace[state] *= self.gamma * self.lam\",\n \"def write_estimate(self, table, variable, code, datum):\\n try:\\n division = Division.objects.get(code='{}{}'.format(\\n datum['state'],\\n datum['county']\\n ), level=self.COUNTY_LEVEL)\\n CensusEstimate.objects.update_or_create(\\n division=division,\\n variable=variable,\\n defaults={\\n 'estimate': datum[code] or 0\\n }\\n )\\n except:\\n print('ERROR: {}, {}'.format(datum['NAME'], datum['state']))\",\n \"def simulate(self):\\n self.round += 1\",\n \"def _update_solved_count(delta, task, profile, save_task=True, save_profile=True):\\n if delta == 0:\\n return\\n\\n task.solved_count += delta\\n if save_task:\\n task.save()\\n\\n profile.solved_count += delta\\n profile.update_diff_distribution(task, delta)\\n if save_profile:\\n profile.save()\",\n \"def change_points(self, dp):\\n\\t\\tself._points += dp\",\n \"def updateG(self, dt):\\n\\t\\tself.tissue.G.project( (self.initial * dt + Identity(3)) * self.tissue.G )\",\n \"def change_score(self, change: float = 1):\\n self._score += change\",\n \"def update(self):\\n with torch.no_grad():\\n self.preprocess_rollout()\\n \\n # DEEP-RL TUTORIALS: КОСТЫЛЬ\\n #self.advantages = self.returns[:-1] - self.values[:-1]\\n #self.advantages = (self.advantages - self.advantages.mean()) / (self.advantages.std() + 1e-5)\\n \\n # going through rollout several (config.epochs) times:\\n for epoch in range(self.config.epochs):\\n # TODO: drop last = False? What if there is 1 sample?\\n sampler = BatchSampler(SubsetRandomSampler(range(self.env.num_envs * self.config.rollout)), self.config.batch_size, drop_last=False)\\n \\n for indices in sampler:\\n # retrieving new batch as part of rollout\\n self.returns_b = self.returns.view(-1, *self.config.value_repr_shape)[indices]\\n self.old_values_b = self.values.view(-1, *self.config.value_repr_shape)[indices]\\n self.old_action_log_probs_b = self.action_log_probs.view(-1)[indices]\\n #self.advantages_b = self.advantages.view(-1)[indices] # КОСТЫЛЬ\\n \\n # calculating current value, action_log_prob, entropy\\n dist, self.values_b = self.policy(self.observations.view(-1, *self.config.observation_shape)[indices])\\n self.values_b = self.values_b.squeeze() # IMPORTANT ([32] - [32, 1] problem)\\n self.action_log_probs_b = dist.log_prob(self.actions.view(-1, *self.config.actions_shape)[indices])#.sum(dim=-1) \\n self.entropy_b = dist.entropy()#.sum(dim=-1)\\n \\n # performing step\\n self.gradient_ascent_step()\",\n \"def _measurement_update(self, y_i, h_tilde, pert_m, k_gain, cov_m):\\n innovation = np.subtract(np.transpose(y_i),\\n np.matmul(h_tilde, pert_m))\\n pert_p = np.add(pert_m, np.matmul(k_gain, innovation))\\n\\n L = np.subtract(np.identity(len(self.istate)),\\n np.matmul(k_gain, h_tilde))\\n\\n cov_p = np.matmul(L, cov_m)\\n\\n return (cov_p, pert_p)\",\n \"def update(self, history):\\n\\n N = history.nsequence_histories\\n\\n sequences = history.sequence_histories\\n\\n variances = np.var(sequences, axis=2)\\n\\n means = np.mean(sequences, axis=2)\\n\\n withinChainVariances = np.mean(variances, axis=0)\\n\\n betweenChainVariances = np.var(means, axis=0) * N\\n\\n varEstimate = (1 - 1.0 / N) * withinChainVariances + (\\n 1.0 / N\\n ) * betweenChainVariances\\n\\n if np.abs(withinChainVariances).all() > 0:\\n self._R = np.sqrt(varEstimate / withinChainVariances)\\n else:\\n self._R = np.random.uniform(0.1, 0.9, withinChainVariances.__len__())\\n\\n # self._W can be a float or an array, in both cases I want to exclude 0.0 values\\n try:\\n if self._W != 0.0:\\n if (withinChainVariances / self._W).all() <= 0.0:\\n self._WChange = np.abs(np.log(1.1) ** 0.5)\\n else:\\n self._WChange = np.abs(\\n np.log(withinChainVariances / self._W) ** 0.5\\n )\\n else:\\n self._WChange = np.abs(np.log(1.1) ** 0.5)\\n except ValueError:\\n if self._W.all() != 0.0:\\n if (withinChainVariances / self._W).all() <= 0.0:\\n self._WChange = np.abs(np.log(1.1) ** 0.5)\\n else:\\n # log of values less then 1 gives a negative number, where I replace these values to get square working\\n tmp_WChDV = varEstimate / self._V\\n tmp_WChDV[tmp_WChDV < 1.0] = np.random.uniform(1, 5, 1)\\n self._WChange = np.abs(np.log(tmp_WChDV) ** 0.5)\\n else:\\n self._WChange = np.abs(np.log(1.1) ** 0.5)\\n\\n self._W = withinChainVariances\\n\\n if (varEstimate / self._V).any() <= 0.0 or np.isnan(\\n varEstimate / self._V\\n ).any():\\n self._VChange = np.abs(np.log(1.1) ** 0.5)\\n else:\\n # log of values less then 1 gives a negative number, where I replace these values to get square working\\n tmp_EsDV = varEstimate / self._V\\n tmp_EsDV[tmp_EsDV < 1.0] = np.random.uniform(1, 5, 1)\\n self._VChange = np.abs(np.log(tmp_EsDV) ** 0.5)\\n\\n self._V = varEstimate\",\n \"def _learn(self, state):\\n p_state, p_action = self.prev\\n if p_state is None:\\n return\\n self.Q[p_state][p_action] = self.learning_rate * (self.R(state) + self.discount * max(self.Q[state].values())) - self.Q[p_state][p_action]\",\n \"def step(self, estim: EstimBase) -> None:\\n _, results = estim.get_last_results()\\n results = [self.to_metrics(res) for res in results]\\n self.metrics.extend(results)\\n if len(self.metrics) >= len(self.population):\\n self.population = self._mating(self.population)\\n self.metrics = []\",\n \"def set_score(self, points):\\n self.score += points\",\n \"def estimate_ate2(Y, X, treatment_column, model, label_column, variable_name, propensity_name):\\n\\n propensity = X[propensity_name]\\n X = X[variable_name]\\n gold = Y[label_column]\\n num_of_units = gold.shape[0]\\n\\n part_one = (1/num_of_units)*sum((gold * X[treatment_column])/propensity)\\n print(\\\"part one2 is: \\\", part_one)\\n part_two = (1 / num_of_units) * sum((gold * (1-X[treatment_column])) / (1-propensity))\\n print(\\\"part two2 is: \\\", part_two)\\n ATE = part_one - part_two\\n\\n return ATE\",\n \"def one_step_update(model, posterior_tm1, Y_t):\\n prediction = model.transmat_ @ posterior_tm1\\n likelihood = np.exp(model._compute_log_likelihood(Y_t))\\n posterior_t = prediction * likelihood\\n return posterior_t\",\n \"def vanilaScore(self,attended,state,W):\",\n \"def take_test(exam, student):\\n\\n student.score = exam.administer()\\n return student.score\",\n \"def update(self, state, action, nextState, reward):\\n \\\"*** YOUR CODE HERE ***\\\"\\n features = self.featExtractor.getFeatures(state,action)\\n\\n learning_rate = self.alpha #gives us the learning rate\\n\\n temporary_QValue = self.getQValue(state,action) #to get the Q value of the state,action pair\\n\\n nextState_QValue = self.getValue(nextState) #to get the Q value of the landing state when taken action a and state s\\n\\n discount_factor = self.discount #to get the gamma/ discount factor\\n\\n weight = self.weights\\n\\n Q_Value = 0\\n\\n difference = (reward + discount_factor * nextState_QValue ) - (temporary_QValue) #refer to README_Reinforcement.txt for the formula\\n\\n for each_feature in features:\\n\\n #refer to README_Reinforcement.txt for the formula at line 20\\n weight[each_feature] = weight[each_feature] + learning_rate * difference * features[each_feature]\\n\\n #util.raiseNotDefined()\",\n \"def update(self,**kwargs):\\n self._update_from_kwargs(**kwargs)\\n #--- calc estimated chops from chop length\\n self._calc_estimated_chops_from_timepoints()\\n #--- adjust chops for stimulusresponse\\n self._adjust_chops_for_stimulus_response()\\n #--- update annotations\\n self._update_annotations()\\n #--- get info\\n if self.verbose:\\n self.GetInfo()\\n #--- show plot\\n if self.show:\\n self.show_chops()\",\n \"def test_smoohted_LM(self):\\n\\t\\tprecision = 10**-8\\n\\t\\t\\t\\t \\n\\t\\tif self.n == 1:\\n\\t\\t\\t\\t \\n\\t\\t\\tP_sum = sum(self.estimate_smoothed_prob('', w) for w in self.vocab)\\n\\t\\t\\t\\n\\t\\t\\tassert abs(1.0 - P_sum) < precision, 'Probability mass does not sum up to one.'\\n\\t\\t\\t\\t \\n\\t\\telif self.n == 2:\\n\\t\\t\\thistories = ['the', 'in', 'at', 'blue', 'white']\\n\\t\\t\\t\\t \\n\\t\\t\\tfor h in histories:\\n\\t\\t\\t\\t \\n\\t\\t\\t\\tP_sum = sum(self.estimate_smoothed_prob(h, w) for w in self.vocab)\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tassert abs(1.0 - P_sum) < precision, 'Probability mass does not sum up to one for history' + h\\n\\t\\t\\t\\t\\t \\n\\t\\tprint('TEST SUCCESSFUL!')\\n\\t\\t# YOUR CODE HERE\",\n \"def habit_update(self, s, u_idx, r_disc):\\n\\n r_exp = s.dot(self.Q[u_idx]) # expected reward of state - action\\n v_upd = self.alpha * (r_disc - r_exp) # value update\\n self.Q[u_idx] += v_upd * s # update by weighted state estimate\",\n \"def score(self):\",\n \"def test_update_story_timestamp(self):\\n title = ('Transportation Challenges Limit Education Choices for '\\n 'Denver Parents')\\n summary = \\\"\\\"\\\"\\n Many families in the Denver metro area use public\\n transportation instead of a school bus because for them, a\\n quality education is worth hours of daily commuting. Colorado's\\n school choice program is meant to foster educational equity,\\n but the families who benefit most are those who have time and\\n money to travel. Low-income families are often left in a lurch.\\n \\\"\\\"\\\"\\n byline = \\\"Mile High Connects\\\"\\n story = create_story(title=title, summary=summary, byline=byline)\\n section = create_section(title=\\\"Test Section 1\\\", story=story)\\n sleep(2)\\n section.save()\\n self.assertNowish(story.last_edited)\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.7031372","0.6343698","0.63049126","0.6181432","0.61523265","0.61381894","0.61381894","0.61381894","0.6072239","0.6002296","0.59474117","0.58674514","0.5820868","0.57961833","0.579501","0.57798946","0.5774591","0.5730863","0.57292694","0.57292694","0.5592835","0.5579084","0.55783015","0.5574641","0.5570898","0.5569159","0.55671966","0.55557334","0.5555594","0.5458093","0.5442544","0.5436353","0.54348963","0.539541","0.53819895","0.53781974","0.53751713","0.53696597","0.53696597","0.53582764","0.53466827","0.5339626","0.5336361","0.5334228","0.5334078","0.5327905","0.5325636","0.5310301","0.53022105","0.5294927","0.52934414","0.5290589","0.52850777","0.52727175","0.52687943","0.5268734","0.5262286","0.5258671","0.5256563","0.52564335","0.52558357","0.52476716","0.52445686","0.52324945","0.52302516","0.52242386","0.52101266","0.5195192","0.51944923","0.5194204","0.51904714","0.5189695","0.5184836","0.51804405","0.51791227","0.5178932","0.51769876","0.5173295","0.51611143","0.5159789","0.51566386","0.5152936","0.5149808","0.5148333","0.5148232","0.5143953","0.51434964","0.5134828","0.51319087","0.51298445","0.51248586","0.5119927","0.5119662","0.51169306","0.5116739","0.51153433","0.51108044","0.5107073","0.50923383","0.5091579","0.5085675"],"string":"[\n \"0.7031372\",\n \"0.6343698\",\n \"0.63049126\",\n \"0.6181432\",\n \"0.61523265\",\n \"0.61381894\",\n \"0.61381894\",\n \"0.61381894\",\n \"0.6072239\",\n \"0.6002296\",\n \"0.59474117\",\n \"0.58674514\",\n \"0.5820868\",\n \"0.57961833\",\n \"0.579501\",\n \"0.57798946\",\n \"0.5774591\",\n \"0.5730863\",\n \"0.57292694\",\n \"0.57292694\",\n \"0.5592835\",\n \"0.5579084\",\n \"0.55783015\",\n \"0.5574641\",\n \"0.5570898\",\n \"0.5569159\",\n \"0.55671966\",\n \"0.55557334\",\n \"0.5555594\",\n \"0.5458093\",\n \"0.5442544\",\n \"0.5436353\",\n \"0.54348963\",\n \"0.539541\",\n \"0.53819895\",\n \"0.53781974\",\n \"0.53751713\",\n \"0.53696597\",\n \"0.53696597\",\n \"0.53582764\",\n \"0.53466827\",\n \"0.5339626\",\n \"0.5336361\",\n \"0.5334228\",\n \"0.5334078\",\n \"0.5327905\",\n \"0.5325636\",\n \"0.5310301\",\n \"0.53022105\",\n \"0.5294927\",\n \"0.52934414\",\n \"0.5290589\",\n \"0.52850777\",\n \"0.52727175\",\n \"0.52687943\",\n \"0.5268734\",\n \"0.5262286\",\n \"0.5258671\",\n \"0.5256563\",\n \"0.52564335\",\n \"0.52558357\",\n \"0.52476716\",\n \"0.52445686\",\n \"0.52324945\",\n \"0.52302516\",\n \"0.52242386\",\n \"0.52101266\",\n \"0.5195192\",\n \"0.51944923\",\n \"0.5194204\",\n \"0.51904714\",\n \"0.5189695\",\n \"0.5184836\",\n \"0.51804405\",\n \"0.51791227\",\n \"0.5178932\",\n \"0.51769876\",\n \"0.5173295\",\n \"0.51611143\",\n \"0.5159789\",\n \"0.51566386\",\n \"0.5152936\",\n \"0.5149808\",\n \"0.5148333\",\n \"0.5148232\",\n \"0.5143953\",\n \"0.51434964\",\n \"0.5134828\",\n \"0.51319087\",\n \"0.51298445\",\n \"0.51248586\",\n \"0.5119927\",\n \"0.5119662\",\n \"0.51169306\",\n \"0.5116739\",\n \"0.51153433\",\n \"0.51108044\",\n \"0.5107073\",\n \"0.50923383\",\n \"0.5091579\",\n \"0.5085675\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}}],"truncated":false,"partial":true},"paginationData":{"pageIndex":204,"numItemsPerPage":100,"numTotalItems":95772,"offset":20400,"length":100}},"jwt":"eyJhbGciOiJFZERTQSIsImtpZCI6IjVHZDBvd0g5MTM2eDZjc1FvbE1zcktNWUZoRVFoUm5PVVVybEpjOUhaUEEifQ.eyJyZWFkIjp0cnVlLCJwZXJtaXNzaW9ucyI6eyJyZXBvLmNvbnRlbnQucmVhZCI6dHJ1ZX0sImlhdCI6MTc4NjM3NzYzNywianRpIjoiODYxZWNlZDQtNjA1ZS00YjJiLWEyNTItNGYwNTkyYWNkOTA5Iiwic3ViIjoiL2RhdGFzZXRzL25vbWljLWFpL2Nvcm5zdGFjay1weXRob24tdjEiLCJleHAiOjE3ODYzODEyMzcsImlzcyI6Imh0dHBzOi8vaHVnZ2luZ2ZhY2UuY28ifQ._tbhDzee9i4AaXfnxrpYFe4xdpMAdflpqXBQ4_DLUVvYFUr-jPLBqC74_AzhrEe52413U-8IXMFyuiWxUBGJAA","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 |
|---|---|---|---|---|---|---|
Returns a list of presynaptic MOOSE Cells in 'projection' that are connected to mitrals | def getCellsByMitralConnection(args, network, projection, population, allcells=False):
cellList = []
cellUniques = []
if args.has_key('mitrals'):
for mitid in args['mitrals']:
mitpath = 'mitrals_'+str(mitid)
cellnum = 0
if projection in network.projectionDict:
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def projection(self):\n return [row[2:-2] for row in self[2:-2]]",
"def getProjections(self): \n x, y, z = self.XYZCoordinate\n origin = self.SkeletonPoints[0]\n self.coorOrigin = origin\n self.XYProjections = [GeometryToolBox.projected_point(p, origin, x, y) for p in self.S... | [
"0.6115254",
"0.5847628",
"0.5668224",
"0.5631118",
"0.5537652",
"0.54864603",
"0.54810447",
"0.54235524",
"0.5407805",
"0.53630227",
"0.5358039",
"0.53430915",
"0.5283042",
"0.52807236",
"0.527139",
"0.52705544",
"0.52069575",
"0.5204649",
"0.5184181",
"0.5180212",
"0.517869... | 0.5494417 | 5 |
Excludes singles/joints/multis granules and their projections as appropriate Excludes extraexcitation from unmodeled sisters as appropriate Include only the two required mitrals (and its connected granules) if ONLY_TWO_MITS is True | def build_tweaks(mitralsclub, nospineinh, nosingles,
nojoints, nomultis, nopgs, onlytwomits,
includeProjections=[], twomitrals=(0,2), nolateral=False):
excludePopulations = []
excludeProjections = ['SA']
## In odor_pulses, odor_morphs, scaled_pulses, I have not specified to include
## file-bas... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _remove_noise_in_o2m():\n if line.reconcile_partial_id:\n if currency_id == line.currency_id.id:\n if line.amount_residual_currency <= 0:\n return True\n else:\n if line.amount_residual <= 0:\n ... | [
"0.5953837",
"0.5953837",
"0.59061384",
"0.5466832",
"0.5309573",
"0.52000713",
"0.5176033",
"0.51735157",
"0.51045626",
"0.5049013",
"0.504501",
"0.5029148",
"0.5016187",
"0.49734628",
"0.49504164",
"0.4943692",
"0.4937262",
"0.49311906",
"0.4926082",
"0.4921968",
"0.4912275... | 0.5823989 | 3 |
We record the position in S of the first occurence of a letter. If we encounter the letter a second time, we check their spacing. | def well_spaced(S, D):
seen = [None] * 26
for i, c in enumerate(S):
if seen[ord(c) - ord("a")] is None:
seen[ord(c) - ord("a")] = i
else:
if i - seen[ord(c) - ord("a")] != D[ord(c) - ord("a")] + 1:
return False
return True | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def alphabet_position(letter):\n alphabet = \"abcdefghijklmnopqrstuvwxyz\"\n pos = 0\n for ltr in alphabet:\n if ltr == letter.lower():\n return pos\n pos += 1\n return pos",
"def find_letter_in_dics(self,letter):\r\n if str.isupper(letter)==True and letter not in self... | [
"0.63146746",
"0.60987276",
"0.6056158",
"0.60332364",
"0.6029894",
"0.60163057",
"0.59288514",
"0.59279585",
"0.58409476",
"0.5798788",
"0.5759058",
"0.5749839",
"0.5723557",
"0.5687024",
"0.56397504",
"0.5600619",
"0.55635214",
"0.556004",
"0.5554876",
"0.5525632",
"0.55193... | 0.6559219 | 0 |
Register publisher on nameserver. This works for PUBSUB only | def register_publisher(self, hostname, expire=-1): | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def registerEvent(eventName, publisher, msgInterface, exclusive=FALSE):",
"def register_topic(self, name, command):\n topic_name = command['topic_name']\n try:\n topic_type = self.get_interface_type(command['interface_type'], '.msg')\n self.pubs[topic_name] = self.create_publi... | [
"0.6365265",
"0.62822574",
"0.6280103",
"0.62570566",
"0.6152319",
"0.60816693",
"0.6038326",
"0.6014652",
"0.5980777",
"0.58707476",
"0.582609",
"0.58243114",
"0.5799215",
"0.5795977",
"0.5795272",
"0.57344294",
"0.5730708",
"0.5672222",
"0.56624746",
"0.5653363",
"0.5633386... | 0.7828177 | 0 |
Unregister publisher on nameserver. This works for PUBSUB only | def unregister_publisher(self, hostname): | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def unregister(self):\n self._executor.unregister_publisher(self)",
"def unregisterEvent(eventName, publisher):",
"def unregister(self):\n if self.hub.is_connected:\n self._is_registered = False\n self.hub.unregister(self._private_key)\n self._hub_id = None\n ... | [
"0.7360216",
"0.7246476",
"0.6685116",
"0.66366076",
"0.6556128",
"0.64936596",
"0.64936596",
"0.64936596",
"0.64936596",
"0.64936596",
"0.6339355",
"0.6295946",
"0.6200138",
"0.61934596",
"0.6149258",
"0.61001545",
"0.60975444",
"0.60746765",
"0.60650426",
"0.6057191",
"0.60... | 0.84743935 | 0 |
Get all publisherhosts from nameserver. | def get_publishers(self): | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_hosts(self):\n\n raise NotImplementedError",
"def all_hosts(self):\n ...",
"def get_allhosts():\n connection, tablename = HomeNetwork.get_connection_info()\n query = 'SELECT hostname from {}'.format(tablename)\n output = pandas.read_sql_query(query, connection).to_jso... | [
"0.7169676",
"0.7118724",
"0.7061426",
"0.70307904",
"0.6984438",
"0.6951433",
"0.6951433",
"0.6756767",
"0.66589063",
"0.6650259",
"0.6539173",
"0.6535899",
"0.6476677",
"0.6442389",
"0.6417958",
"0.6402432",
"0.64010507",
"0.6400647",
"0.63974947",
"0.63806397",
"0.6343521"... | 0.5760464 | 65 |
Register router on the nameserver. This works for ROUTER proxy only | def register_router(self, hostname, expire=-1): | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def register_router(self, router):\n for prefix, viewset, basename in router.registry:\n self.register(prefix, viewset, base_name=basename)",
"def _registerOnServer(self, daemon, nameserver,vclock):\n uri = daemon.register(self)\n nameserver.register(self._name, uri)\n self... | [
"0.69818735",
"0.6787208",
"0.62229717",
"0.6108167",
"0.60634494",
"0.6024237",
"0.5897947",
"0.5891949",
"0.57765454",
"0.5680079",
"0.56769615",
"0.5665641",
"0.5664951",
"0.5652085",
"0.5566623",
"0.5562512",
"0.553475",
"0.5525856",
"0.5513387",
"0.54793245",
"0.54617864... | 0.74578744 | 0 |
Unregister router on the nameserver. This works for ROUTER proxy only | def unregister_router(self, hostname): | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def unregister(self, pollster):\n pollster.unregister(self._router_socket)",
"def unregister_server():\n (code, message) = rest_api.unregister_server(request)\n if (code == 200):\n return message\n else:\n abort(code)",
"def _unregister_from_server(self):\n self.remote_cont... | [
"0.7407919",
"0.6835906",
"0.6531206",
"0.6473747",
"0.6360587",
"0.6355955",
"0.62724245",
"0.6237078",
"0.62182945",
"0.6144307",
"0.61080134",
"0.6107907",
"0.60263836",
"0.60021615",
"0.59701866",
"0.5969365",
"0.5967524",
"0.5956805",
"0.59442115",
"0.59275377",
"0.59078... | 0.84506893 | 0 |
Get all routerhosts from nameserver. | def get_routers(self): | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def all_hosts(self):\n ...",
"def getHosts(self):\n raise \"not implemented\"",
"def get_allhosts():\n connection, tablename = HomeNetwork.get_connection_info()\n query = 'SELECT hostname from {}'.format(tablename)\n output = pandas.read_sql_query(query, connection).to_json(o... | [
"0.72569954",
"0.7244314",
"0.7196611",
"0.71662074",
"0.695222",
"0.67746055",
"0.6761021",
"0.6761021",
"0.67031026",
"0.6651102",
"0.6624952",
"0.65390396",
"0.6518266",
"0.6515694",
"0.6514505",
"0.6505179",
"0.648944",
"0.6474391",
"0.64340025",
"0.63641435",
"0.6350772"... | 0.0 | -1 |
Register target on nameserver. If record already exists and has expiration timeout it will be updated. Existing records without timeout will stay untouched | def register(self, target, hostname, listener_type, expire=-1): | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def register_router(self, hostname, expire=-1):",
"def touch_member(self, data, ttl=None, permanent=False):",
"def register_publisher(self, hostname, expire=-1):",
"def _set_target_info_by_name(self, targets, port, target_name, iqn):\n host_iqn_registered_in_target = (\n self._get_host_iqn_... | [
"0.59071237",
"0.57393044",
"0.56628335",
"0.54713863",
"0.5383242",
"0.5357558",
"0.5356139",
"0.5307397",
"0.5276759",
"0.52725244",
"0.52632517",
"0.523391",
"0.520452",
"0.51832664",
"0.51574975",
"0.51390576",
"0.5082721",
"0.5064394",
"0.50146466",
"0.50041485",
"0.4989... | 0.7020003 | 0 |
Unregister target from nameserver. | def unregister(self, target, hostname, listener_type): | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def unregister(target: str) -> bool:\n ...",
"def _unregister_from_server(self):\n self.remote_controller.unregister()",
"def unregister_server(self, request):\n\n name = request.form['name']\n token = request.form['token']\n\n rest_client = RestClient.instance()\n user_in... | [
"0.7585173",
"0.68528515",
"0.6826376",
"0.68002725",
"0.67341775",
"0.6664987",
"0.6569992",
"0.6551973",
"0.6536063",
"0.65019625",
"0.64468646",
"0.6361532",
"0.63340855",
"0.6244407",
"0.6225373",
"0.6179231",
"0.6150409",
"0.6149765",
"0.6141956",
"0.6136862",
"0.6132793... | 0.7942518 | 0 |
Get all hosts from nameserver by target. | def get_hosts(self, target, listener_type): | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def getHosts(self):\n raise \"not implemented\"",
"def get_hosts(self):\n\n raise NotImplementedError",
"def all_hosts(self):\n ...",
"def get_list_hosts(self, path, params):\n eth_src = params.get('eth_src')\n host = self._extract_url_base(path)\n reply = self._fauc... | [
"0.6609943",
"0.65855324",
"0.65804106",
"0.64846325",
"0.63959503",
"0.6352378",
"0.63149804",
"0.62216705",
"0.6152733",
"0.60675144",
"0.6000524",
"0.598171",
"0.5977664",
"0.5963793",
"0.5939155",
"0.590416",
"0.5887089",
"0.58860886",
"0.5873426",
"0.58689386",
"0.585227... | 0.72865254 | 0 |
Retry if not hosts used on client first time connection. | def get_hosts_retry(self, target, listener_type): | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def reconnect(self):\n self.test_cmd()\n if not self.check_network: \n self.reset()\n attempt=0\n while not self.check_network and attempt<self.retries:\n self.full_reset()\n attempt+=1",
"def _retry_occurred(self):",
"def retry_connect(redis_cfg, tr... | [
"0.6595895",
"0.642362",
"0.6300115",
"0.62578905",
"0.62397426",
"0.62371826",
"0.61907387",
"0.61150855",
"0.6100826",
"0.60999596",
"0.60886294",
"0.6058668",
"0.6034286",
"0.59911746",
"0.59811133",
"0.59562373",
"0.5926307",
"0.5876836",
"0.5873153",
"0.5847975",
"0.5835... | 0.65693855 | 1 |
Get all hosts for fanout from nameserver by target. | def get_hosts_fanout(self, target, listener_type): | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_hosts(self, target, listener_type):",
"def all_hosts(self):\n ...",
"def getHosts(self):\n raise \"not implemented\"",
"def get_list_hosts(self, path, params):\n eth_src = params.get('eth_src')\n host = self._extract_url_base(path)\n reply = self._faucet_collector.g... | [
"0.7184551",
"0.6248219",
"0.6176217",
"0.61702764",
"0.6109676",
"0.6054905",
"0.60191494",
"0.6009551",
"0.59727305",
"0.5941708",
"0.591378",
"0.59014225",
"0.58759665",
"0.5767903",
"0.5579544",
"0.55613315",
"0.5546322",
"0.55437875",
"0.5537281",
"0.55069554",
"0.546622... | 0.7517761 | 0 |
Retry if not host for fanout used on client first time connection. | def get_hosts_fanout_retry(self, target, listener_type): | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def reconnect(self):\n self.test_cmd()\n if not self.check_network: \n self.reset()\n attempt=0\n while not self.check_network and attempt<self.retries:\n self.full_reset()\n attempt+=1",
"def _retry_occurred(self):",
"def decide_to_retry(error):\n ... | [
"0.6410929",
"0.6315029",
"0.6292759",
"0.6159722",
"0.61007214",
"0.60679835",
"0.60382396",
"0.598557",
"0.5985042",
"0.5976616",
"0.59539026",
"0.59280324",
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"0.59035325",
"0.5888258",
"0.5867851",
"0.5821885",
"0.5793011",
"0.5766104",
"0.57537436",
"0.57288796... | 0.7007031 | 0 |
Each profile model should define the __init__ method. The __init__ method must take the grid as the first input parameter. All other input parameters can be specified to define the model. The grid input parameter is automatically added as an attribute of the profile model. This method should set all three components of... | def __init__(self, grid, coef_u, coef_w=[0.01, 0.2]):
# In this example, we set the u-component to increase linearly with height:
# Note: we are making use of the automatically added 'grid' attribute
self._u[0] = coef_u * self.grid.z[:, None]
# Arbitrarily chose a factor of 0.3
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def __init__(self, velocity, vorticity, prof_coords, \n direction, beginMeanComput, **kwds):\n assert 'variables' not in kwds, 'variables parameter is useless.'\n super(Profiles, self).__init__(variables=[velocity, vorticity],\n **kwds)\n #... | [
"0.63615376",
"0.6329917",
"0.6315436",
"0.6304923",
"0.6211358",
"0.6152573",
"0.61234856",
"0.6065217",
"0.6056414",
"0.6029072",
"0.5988933",
"0.5905428",
"0.5902939",
"0.58744293",
"0.585578",
"0.58418816",
"0.5836042",
"0.5823521",
"0.5822146",
"0.5813255",
"0.580647",
... | 0.7273586 | 0 |
Define as many methods as you like for helping the __init__ method... | def calc_vertical_velocity(self):
# Note: again we make use of the automatically added 'grid' attribute, and the stored coef_w attribute.
# Here we arbitrarily set the vertical velocity to increase in the
# y-direction (not very realistic).
return self.coef_w[0] * self.grid.y[None, :] + ... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def __init__(self, *args, **kwargs):\n raise NotImplementedError",
"def __init__():",
"def __init__(self, **kwargs):\n raise NotImplementedError",
"def __init__(__self__):\n pass",
"def __init__(__self__):\n pass",
"def __init__(__self__):\n pass",
"def __init__(__sel... | [
"0.7751955",
"0.77229583",
"0.76215285",
"0.7580306",
"0.7580306",
"0.7580306",
"0.7580306",
"0.7580306",
"0.7580306",
"0.7580306",
"0.7580306",
"0.7580306",
"0.7580306",
"0.75683165",
"0.7561773",
"0.7561773",
"0.75399697",
"0.75399697",
"0.75399697",
"0.75399697",
"0.752695... | 0.0 | -1 |
Jump to neighbour + Jump value | def neighbor(self,s):
jump=20
while True:
s+=random.randint(-1*jump,jump)
if s < pow(10,5) and s > pow(10,-5):return s | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def jumpp(self):\r\n\r\n if not self.current_jump is None:\r\n self.current_jump = self.current_jump.next",
"def jump(neighbour, with_piece):\n return Coords(2 * neighbour.q - with_piece.q,\n 2 * neighbour.r - with_piece.r)",
"def get_jump(self):\n return self.jump"... | [
"0.68145823",
"0.67673796",
"0.6645872",
"0.6487357",
"0.6415081",
"0.6255698",
"0.62121266",
"0.6200127",
"0.61654973",
"0.6137965",
"0.6121287",
"0.6114172",
"0.6095453",
"0.60946244",
"0.60899633",
"0.608647",
"0.6084412",
"0.6036776",
"0.60335666",
"0.59981215",
"0.597359... | 0.5889015 | 26 |
Random jump within the boundary | def randomNeighbor(s):
s=random.randint( int(pow(10,-5)), int(pow(10,5)))
return s | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def jump(self):\n global jumpSize\n print \"jumping...\"\n # create a range that includes all the available feature indices\n featureIndices = range(0, len(self.features))\n # remove indices until there are only jumpSize left\n while len(featureIndices) > jumpSize:\n ... | [
"0.70142347",
"0.6868129",
"0.65871674",
"0.6577718",
"0.65242577",
"0.65057194",
"0.6504612",
"0.6504612",
"0.6420313",
"0.6353282",
"0.63362926",
"0.63140726",
"0.63027316",
"0.6253052",
"0.62520695",
"0.6213646",
"0.62117517",
"0.6178957",
"0.6167503",
"0.6145853",
"0.6140... | 0.0 | -1 |
Function applies multilevel Otsu algorithm to seperate the image background from the foreground. | def multi_level_otsu(
images,
n_regions: int = 4,
target_region: int = 3,
method: OtsuMethods = OtsuMethods.IMAGES,
_destination_dir: str = 'E:\\GitHub\\CovPySourceFile\\MultiLevelOtsu',
draw: bool = False,
write: bool = False):
if not isinstance(method, Otsu... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def img_process(fgMask):\n backSub = cv.createBackgroundSubtractorKNN()\n kernel1 = cv.getStructuringElement(shape=cv.MORPH_ELLIPSE, ksize=(2,2))\n kernel2 = cv.getStructuringElement(shape=cv.MORPH_ELLIPSE, ksize=(2,2))\n #kernel1 = np.ones((3,3),np.uint8)\n #kernel2 = np.ones((3,3), np.uint8)\n\n ... | [
"0.6316399",
"0.5638876",
"0.5601583",
"0.5556231",
"0.5503263",
"0.55022186",
"0.5480021",
"0.5449055",
"0.54470575",
"0.54389256",
"0.54091537",
"0.5373376",
"0.5371874",
"0.5366807",
"0.5364599",
"0.5352649",
"0.53447825",
"0.5343722",
"0.5341918",
"0.5329113",
"0.5324589"... | 0.504419 | 53 |
feed rgb flow to caffenet and save output of fc7 layer | def save_features(videos, net, transformer):
n_features = 4096
name = 'baseline'
for video in videos:
X = np.empty((0, n_features))
y = np.empty(0)
print '[INFO] processing video %d / %d' % (videos.index(video) + 1, len(videos))
for reverse in [False, True]:
for f... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def importCaffeNetwork(modeldef, params):\n if params is None:\n net = caffe.Net(modeldef, caffe.TEST)\n else:\n net = caffe.Net(modeldef, params, caffe.TEST)\n model = caffe.proto.caffe_pb2.NetParameter()\n Merge(open(modeldef, \"rb\").read(), model)\n numLayers = len(model.layer)\n ... | [
"0.621072",
"0.5873886",
"0.58209074",
"0.58148974",
"0.5806806",
"0.57959956",
"0.57872665",
"0.55963653",
"0.5571509",
"0.55707103",
"0.5533724",
"0.55222684",
"0.5516708",
"0.5472499",
"0.54537",
"0.54081285",
"0.53981483",
"0.5391341",
"0.5390397",
"0.5382047",
"0.5375144... | 0.0 | -1 |
Take the MD5 digest of a name, convert it to hex and take the first 6 characters as an RGB value. | def dopplr(name):
return "#" + hashlib.sha224(name).hexdigest()[:6] | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_md5(text):\n return hashlib.md5(text).hexdigest()",
"def color_name_to_hex(name, default='#000000'):\n try:\n name = str(name)\n if name.startswith('#'):\n return name\n return webcolors.name_to_hex(name)\n except ValueError:\n return default",
"def get_m... | [
"0.61176944",
"0.6115744",
"0.61068666",
"0.60837525",
"0.6063438",
"0.60526246",
"0.6049227",
"0.6043318",
"0.6015899",
"0.595205",
"0.59485966",
"0.5934476",
"0.5924637",
"0.59155124",
"0.5902312",
"0.5875135",
"0.5866297",
"0.5865237",
"0.5853065",
"0.58442265",
"0.5834953... | 0.65998656 | 0 |
For a given background colour, return black or white for the text | def foreground_colour(background_colour):
# Get RGB values
background_colour = background_colour.lstrip("#")
background_colour = struct.unpack('BBB', background_colour.decode('hex'))
r = background_colour[0]
g = background_colour[1]
b = background_colour[2]
print(r, g, b)
# The perceive... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def black_or_white(bgcolor):\n ary_bgcolors = re.findall(r\"[\\w']+\", bgcolor)\n R = int(ary_bgcolors[1])\n G = int(ary_bgcolors[2])\n B = int(ary_bgcolors[3])\n Lumi = (sum([R,G,B])/3)\n\n if Lumi > 125:\n colorfont = 'rgb(0,0,0)'\n else:\n colorfont = 'rgb(255,255,255)'\n\n ... | [
"0.79908603",
"0.70390666",
"0.70168227",
"0.6928707",
"0.67906517",
"0.6725715",
"0.6606326",
"0.6565484",
"0.6551614",
"0.651119",
"0.6485232",
"0.6482854",
"0.6421965",
"0.6326192",
"0.62925994",
"0.6289619",
"0.6224909",
"0.6212772",
"0.6126866",
"0.6106249",
"0.6093084",... | 0.70396507 | 1 |
Find the largestsized font that'll fit this text on this cover | def largest_font_that_fits(draw, font_file, text, cover_width):
text_w = cover_width + 1
font_size = 110
padding = 20
while(text_w + padding > cover_width):
font_size -= 10
font = ImageFont.truetype(font_file, font_size)
text_w, text_h = draw.textsize(text, font)
return font | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_optimal_font_size(fontfile,text,maxwidth,maxheight):\n fontsize = 1\n font = ImageFont.truetype(fontfile, fontsize)\n while font.getsize(text)[0] < maxwidth and font.getsize(text)[1] < maxheight:\n fontsize += 1\n font = ImageFont.truetype(fontfile, fontsize-1)\n return font",
"... | [
"0.7606606",
"0.7251992",
"0.7203537",
"0.6699396",
"0.65662354",
"0.6466567",
"0.643199",
"0.63370657",
"0.6304743",
"0.6279057",
"0.62559944",
"0.6191247",
"0.61713487",
"0.6060088",
"0.59158844",
"0.58457994",
"0.58386546",
"0.5816909",
"0.58112776",
"0.58027065",
"0.57712... | 0.8428862 | 0 |
Get some public domain image for text | def get_an_image(text):
# Get the second or fourth word
index = random.choice([1, 3])
text = text.split()[index]
print(text)
sort = random.choice(["relevance", "interestingness-desc"])
print(sort)
from flickr_search_downloadr import flickr_search_downloadr
filename = flickr_search_dow... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_image_url():",
"def wiki_image(pagetext):\n images = [i for i in pagetext.images if i not in EXCLUDED_IMAGES]\n if len(images) > 0:\n return images[0]\n else:\n return ''",
"def process_images(text):\n # if text != None:\n if text is not None:\n soup = BeautifulSoup(... | [
"0.6494177",
"0.626865",
"0.62658316",
"0.62218577",
"0.61541396",
"0.6036385",
"0.6014176",
"0.5989792",
"0.5951417",
"0.59493285",
"0.58120805",
"0.5806087",
"0.57846344",
"0.5778579",
"0.577659",
"0.5753518",
"0.5752582",
"0.5750098",
"0.5733324",
"0.572244",
"0.5719195",
... | 0.65308005 | 0 |
Generate the train and validation errors needed to plot a validation curve that we can use to select lambda. | def validation_curve(x, y, x_val, y_val):
lambda_vec = np.array([0, 0.001, 0.003, 0.01, 0.03, 0.1, 0.3, 1, 3, 10])
error_train = np.zeros(len(lambda_vec))
error_val = np.zeros(len(lambda_vec))
m = x.shape[0]
m_val = x_val.shape[0]
for i in range(len(lambda_vec)):
l = lambda_vec[i]
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def plot_train_test_errors(train_errors, test_errors, lambda_str , K , path, rng):\n plt.plot(range(rng), train_errors, marker='o', label='Training Data');\n plt.plot(range(rng), test_errors, marker='v', label='Test Data');\n plt.title('ALS-WR Learning Curve, lambda = %s, K = %d'%(lambda_str, K))\n plt... | [
"0.7372803",
"0.7234287",
"0.7018966",
"0.6955053",
"0.68787926",
"0.6867536",
"0.68586004",
"0.6833294",
"0.669417",
"0.663864",
"0.6621206",
"0.66208285",
"0.6596412",
"0.65892947",
"0.6574992",
"0.65665126",
"0.6500066",
"0.64827365",
"0.6461519",
"0.6461419",
"0.6399849",... | 0.76718855 | 0 |
caculate the attention weights. q, k, v must have matching leading dimensions. The mask has different shapes depending on its type(padding or look ahead) but it must be broadcastable for addition. | def scaled_dot_product_attention(q, k, v, mask):
matmul_qk = tf.matmul(q, k, transpose_b=True) # [..., q_len, kv_len]
# scale matmul_qk
dk = tf.cast(tf.shape(k)[-1], tf.float32)
scaled_attention_logits = matmul_qk / tf.sqrt(dk)
# print("scaled_attention_logits", tf.nn.top_k(scaled_attention_logits[... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def attention(self, q, k, v, mask):\n if (self.params.display_details == True) :\n print('Scaled dot q :', q.shape)\n print('Scaled dot k: ', k.shape)\n print('Scaled dot v: ', v.shape)\n print('Scaled dot mask: ', mask.shape)\n \n matmul_qk = tf... | [
"0.6798876",
"0.6614562",
"0.6541027",
"0.64965683",
"0.6480315",
"0.63856924",
"0.6354788",
"0.61816657",
"0.61601377",
"0.6148763",
"0.6042509",
"0.60187286",
"0.5998331",
"0.59813106",
"0.593155",
"0.59275615",
"0.5926666",
"0.5925003",
"0.5920547",
"0.5915503",
"0.5892713... | 0.5744126 | 30 |
Tests for various forms of WRITE statement (R911). | def test_write_stmt():
tcls = Write_Stmt
obj = tcls('write (123)"hey"')
assert isinstance(obj, tcls), repr(obj)
assert str(obj) == 'WRITE(123) "hey"'
assert repr(obj).replace("u'", "'") == (
"Write_Stmt(Io_Control_Spec_List(',', (Io_Control_Spec(None, "
"Int_Literal_Constant('123', N... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def is_raw_write(command): \n if command.startswith('<WRITE') and command.endswith('>'):\n return True\n else: \n return False\n # end if",
"def write():\n pass",
"def check_write_command(self, line):\n self.E_str = \"check_write_command\"\n err_msg = \"The writ... | [
"0.6975526",
"0.65449363",
"0.6222274",
"0.6008429",
"0.59753144",
"0.582857",
"0.58206147",
"0.5795848",
"0.57906795",
"0.57885945",
"0.5740177",
"0.57394093",
"0.57394093",
"0.57394093",
"0.5700389",
"0.56741863",
"0.56741863",
"0.56551474",
"0.56497926",
"0.5638626",
"0.56... | 0.6105301 | 3 |
Check that we reject a WRITE that names the iounit argument but still has a positional format argument (containing an '='). TODO 267. This test needs expanding and probably moving to a file dedicated to R913 and its (many) constraints. | def test_named_unit_before_fmt_error():
tcls = Write_Stmt
# Cannot have an un-named (positional) argument after a named argument
with pytest.raises(NoMatchError):
tcls('''WRITE (UNIT=6, '("write some=""'//'text'//'""")')''') | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_write_stmt():\n tcls = Write_Stmt\n obj = tcls('write (123)\"hey\"')\n assert isinstance(obj, tcls), repr(obj)\n assert str(obj) == 'WRITE(123) \"hey\"'\n assert repr(obj).replace(\"u'\", \"'\") == (\n \"Write_Stmt(Io_Control_Spec_List(',', (Io_Control_Spec(None, \"\n \"Int_Li... | [
"0.6082462",
"0.5905375",
"0.56293344",
"0.5549656",
"0.5493521",
"0.54801637",
"0.5453339",
"0.54085284",
"0.53969",
"0.53846806",
"0.53668135",
"0.53544927",
"0.52869296",
"0.5286741",
"0.5283133",
"0.52826405",
"0.52780616",
"0.5258492",
"0.521193",
"0.5171243",
"0.5170175... | 0.60555166 | 1 |
CPP wrapper for a grid subsampling (method = barycenter for points and features | def grid_subsampling(points, features=None, labels=None, sampleDl=0.1, verbose=0):
if (features is None) and (labels is None):
return cpp_subsampling.compute(points, sampleDl=sampleDl, verbose=verbose)
elif (labels is None):
return cpp_subsampling.compute(points, features=features, sampleDl=sam... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def grid_subsampling(points,\n features=None,\n labels=None,\n grid_size=0.1,\n verbose=0):\n if (features is None) and (labels is None):\n return subsample(points, sampleDl=grid_size, verbose=verbose)... | [
"0.6935368",
"0.6783366",
"0.62108415",
"0.60858434",
"0.6082025",
"0.59761757",
"0.59068716",
"0.5906552",
"0.58184594",
"0.57866776",
"0.5761539",
"0.5757237",
"0.57401824",
"0.5671831",
"0.56630486",
"0.5643654",
"0.56029594",
"0.5600671",
"0.5593662",
"0.5565551",
"0.5558... | 0.6818583 | 3 |
Filter neighborhoods with max number of neighbors. Limit is set to keep XX% of the neighborhoods untouched. Limit is computed at initialization | def big_neighborhood_filter(self, neighbors, layer):
# crop neighbors matrix
return neighbors[:, :self.neighborhood_limits[layer]] | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def big_neighborhood_filter(self, neighbors, layer):\r\n\r\n # crop neighbors matrix\r\n if len(self.neighborhood_limits) > 0:\r\n return neighbors[:, :self.neighborhood_limits[layer]]\r\n else:\r\n return neighbors",
"def sample_top_neighbors( self, max_count=200 ):\n ... | [
"0.6606671",
"0.6276067",
"0.5996828",
"0.59867924",
"0.56163824",
"0.55717087",
"0.55626965",
"0.5517689",
"0.5468347",
"0.54618734",
"0.5459569",
"0.5457384",
"0.5456208",
"0.5448947",
"0.5426886",
"0.54178387",
"0.54013634",
"0.538458",
"0.5377331",
"0.5373551",
"0.5291005... | 0.6176705 | 2 |
Prepare the input pipeline with tf.Dataset class | def init_input_pipeline(self, config):
######################
# Calibrate parameters
######################
print('Initiating input pipelines')
# Update num classes in config
config.num_classes = self.num_classes - len(self.ignored_labels)
config.ignored_label_... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def prepare_data(self):\n data = self._get_dataset(self.hparams.dataset_path)\n label_encoder = data[\"label_encoder\"]\n del data[\"label_encoder\"]\n\n click.secho(\"Building inputs and labels.\", fg=\"yellow\")\n datasets = {\n \"train\": defaultdict(list),\n ... | [
"0.7301273",
"0.72675794",
"0.7138508",
"0.7046271",
"0.69744396",
"0.6970408",
"0.6957356",
"0.6834164",
"0.6833312",
"0.68320596",
"0.67942077",
"0.67686826",
"0.6739864",
"0.6737556",
"0.6729647",
"0.67112744",
"0.67099994",
"0.6708296",
"0.6704556",
"0.6680539",
"0.663472... | 0.0 | -1 |
Prepare the input pipeline with tf.Dataset class | def init_test_input_pipeline(self, config):
print('Initiating test input pipelines')
######################
# Calibrate parameters
######################
# Update num classes in config
config.num_classes = self.num_classes - len(self.ignored_labels)
config.igno... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def prepare_data(self):\n data = self._get_dataset(self.hparams.dataset_path)\n label_encoder = data[\"label_encoder\"]\n del data[\"label_encoder\"]\n\n click.secho(\"Building inputs and labels.\", fg=\"yellow\")\n datasets = {\n \"train\": defaultdict(list),\n ... | [
"0.7301273",
"0.72675794",
"0.7138508",
"0.7046271",
"0.69744396",
"0.6970408",
"0.6957356",
"0.6834164",
"0.6833312",
"0.68320596",
"0.67942077",
"0.67686826",
"0.6739864",
"0.6737556",
"0.6729647",
"0.67112744",
"0.67099994",
"0.6708296",
"0.6704556",
"0.6680539",
"0.663472... | 0.0 | -1 |
Returns colour scheme for CSI (critical success index). | def _get_csi_colour_scheme():
this_colour_map_object = pyplot.cm.Blues
this_colour_norm_object = matplotlib.colors.BoundaryNorm(
LEVELS_FOR_CSI_CONTOURS, this_colour_map_object.N)
rgba_matrix = this_colour_map_object(this_colour_norm_object(
LEVELS_FOR_CSI_CONTOURS
))
colour_list ... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def conseguir_color(self):\n return self.pluma.conseguir_color()",
"def verify_color(cci):\n\n if cci < -6.0:\n return OrangeColor.GREEN\n elif -6.0 <= cci < -1.0:\n return OrangeColor.YELLOWISH_GREEN\n elif -1.0 <= cci < 2.7:\n return OrangeColor.YELLOW\n elif 2.7 <= cci ... | [
"0.6432659",
"0.6361762",
"0.62378114",
"0.6107295",
"0.60489845",
"0.6039875",
"0.6022437",
"0.60140353",
"0.59839135",
"0.5968801",
"0.5968204",
"0.5968204",
"0.5968204",
"0.5938249",
"0.5938249",
"0.5932919",
"0.5913306",
"0.5908596",
"0.59029335",
"0.58735913",
"0.5872064... | 0.7236149 | 0 |
Returns colour scheme for Peirce score. | def _get_peirce_colour_scheme():
this_colour_map_object = pyplot.cm.Blues
this_colour_norm_object = matplotlib.colors.BoundaryNorm(
LEVELS_FOR_PEIRCE_CONTOURS, this_colour_map_object.N)
rgba_matrix = this_colour_map_object(this_colour_norm_object(
LEVELS_FOR_PEIRCE_CONTOURS
))
col... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def conseguir_color(self):\n return self.pluma.conseguir_color()",
"def get_colour(self):\n return self.colour",
"def get_colour(self) -> str:\n return self.colour",
"def getColor(self):\n return self._l[2]",
"def get_palace_board_red(self):\n\n return self._palace_board_... | [
"0.678865",
"0.6306019",
"0.6232524",
"0.622833",
"0.6212288",
"0.6193526",
"0.61802113",
"0.6138026",
"0.6122331",
"0.61007756",
"0.60846984",
"0.60838187",
"0.60765666",
"0.60642964",
"0.60596305",
"0.6055237",
"0.604426",
"0.597812",
"0.5978035",
"0.59603816",
"0.595773",
... | 0.75720006 | 0 |
Generates polygon for confidence interval. P = number of points in bottom curve = number of points in top curve | def _confidence_interval_to_polygon(
x_coords_bottom, y_coords_bottom, x_coords_top, y_coords_top,
for_performance_diagram=False):
nan_flags_top = numpy.logical_or(
numpy.isnan(x_coords_top), numpy.isnan(y_coords_top))
real_indices_top = numpy.where(numpy.invert(nan_flags_top))[0]
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def rectpolyctl(xmin,xmax,ymin,ymax):\n pc=[]\n pc.append((xmin,ymin))\n pc.append((xmin,ymax))\n pc.append((xmax,ymax))\n pc.append((xmax,ymin))\n pc.append((xmin,ymin))\n return pc",
"def generatePolygons():",
"def _createpoly(self):\n return self.cv.create_polygon((0, 0, 0, 0, 0,... | [
"0.6202383",
"0.6190135",
"0.6152543",
"0.6056553",
"0.6024834",
"0.58629483",
"0.58027285",
"0.5787738",
"0.56690466",
"0.5664175",
"0.56515396",
"0.56223565",
"0.56223565",
"0.5581558",
"0.5581497",
"0.55799574",
"0.55596733",
"0.55531454",
"0.5548768",
"0.5543551",
"0.5540... | 0.6431237 | 0 |
Plots background (references lines and polygons) of attributes diagram. For more on the attributes diagram, see Hsu and Murphy (1986). BSS = Brier skill score. For more on the BSS, see `model_evaluation.get_brier_skill_score`. | def _plot_background_of_attributes_diagram(
axes_object, climatology,
no_skill_line_colour=DEFAULT_ZERO_BSS_COLOUR,
no_skill_line_width=DEFAULT_ZERO_BSS_WIDTH,
other_line_colour=DEFAULT_CLIMATOLOGY_COLOUR,
other_line_width=DEFAULT_CLIMATOLOGY_WIDTH):
error_checking.assert_is... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def plot_bootstrapped_attributes_diagram(\n figure_object, axes_object, ci_bottom_dict, ci_mean_dict, ci_top_dict,\n num_examples_by_bin,\n reliability_line_colour=DEFAULT_RELIABILITY_COLOUR,\n reliability_line_width=DEFAULT_RELIABILITY_WIDTH,\n perfect_relia_line_colour=DEFAULT_... | [
"0.6314721",
"0.5160302",
"0.5150252",
"0.5146807",
"0.511476",
"0.5082323",
"0.5072824",
"0.506235",
"0.50508076",
"0.4978316",
"0.49699628",
"0.49588132",
"0.49191087",
"0.49132687",
"0.4868202",
"0.48487267",
"0.48426506",
"0.4834363",
"0.48201233",
"0.48166025",
"0.480528... | 0.679852 | 0 |
Plots forecast histogram inset in attributes diagram. For more on the attributes diagram, see Hsu and Murphy (1986). B = number of forecast bins | def _plot_inset_histogram_for_attributes_diagram(
figure_object, num_examples_by_bin,
bar_face_colour=DEFAULT_HISTOGRAM_FACE_COLOUR,
bar_edge_colour=DEFAULT_HISTOGRAM_EDGE_COLOUR,
bar_edge_width=DEFAULT_HISTOGRAM_EDGE_WIDTH):
error_checking.assert_is_integer_numpy_array(num_examples... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def plot_attributes_diagram(\n figure_object, axes_object, mean_forecast_by_bin,\n event_frequency_by_bin, num_examples_by_bin,\n reliability_line_colour=DEFAULT_RELIABILITY_COLOUR,\n reliability_line_width=DEFAULT_RELIABILITY_WIDTH,\n perfect_relia_line_colour=DEFAULT_PERFECT_RE... | [
"0.6258223",
"0.59847486",
"0.5973236",
"0.59051794",
"0.58949333",
"0.58539087",
"0.5833261",
"0.58074725",
"0.57988834",
"0.57910645",
"0.56742895",
"0.566742",
"0.5615893",
"0.5603276",
"0.5587624",
"0.5563986",
"0.5562396",
"0.55190045",
"0.55185115",
"0.54872495",
"0.548... | 0.66039234 | 0 |
Plots ROC (receiver operating characteristic) curve. T = number of binarization thresholds For the definition of a "binarization threshold" and the role they play in ROC curves, see `model_evaluation.get_points_in_roc_curve`. | def plot_roc_curve(
axes_object, pod_by_threshold, pofd_by_threshold,
line_colour=DEFAULT_ROC_COLOUR, line_width=DEFAULT_ROC_WIDTH,
random_line_colour=DEFAULT_RANDOM_ROC_COLOUR,
random_line_width=DEFAULT_RANDOM_ROC_WIDTH):
error_checking.assert_is_numpy_array(pod_by_threshold, num_d... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def plot_roc_curve(tprs, aucs, tag=''):\n fig, ax = plt.subplots()\n ax.plot([0, 1], [0, 1], linestyle='--', lw=2, color='r',\n label='Chance', alpha=.8)\n\n mean_tpr = np.mean(tprs, axis=0)\n mean_tpr[-1] = 1.0\n mean_fpr = np.linspace(0, 1, 100)\n\n mean_auc = auc(mean_fpr, mean_tpr)... | [
"0.7453535",
"0.7401407",
"0.7339894",
"0.73027515",
"0.726741",
"0.72624016",
"0.72515935",
"0.7190205",
"0.71338737",
"0.71291786",
"0.6982739",
"0.6944182",
"0.6928798",
"0.6907703",
"0.69071853",
"0.6897306",
"0.68563014",
"0.6836839",
"0.6823447",
"0.6806698",
"0.679233"... | 0.5995517 | 64 |
Bootstrapped version of plot_roc_curve. T = number of probability thresholds in curve | def plot_bootstrapped_roc_curve(
axes_object, ci_bottom_dict, ci_mean_dict, ci_top_dict,
line_colour=DEFAULT_ROC_COLOUR,
line_width=DEFAULT_ROC_WIDTH,
random_line_colour=DEFAULT_RANDOM_ROC_COLOUR,
random_line_width=DEFAULT_RANDOM_ROC_WIDTH):
plot_roc_curve(
axes_obje... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def plot_roc_curve(y_true, y_pred_proba, threshold=0.5):\n\n y_pred = predict_with_threshold(y_pred_proba, threshold)\n roc_auc = roc_auc_score(y_true, y_pred)\n fpr, tpr, thresholds = roc_curve(y_true, y_pred_proba)\n\n plt.plot( # roc auc line\n fpr, tpr,\n label='AUC={:.3f}'.format(ro... | [
"0.7486583",
"0.7387596",
"0.73390347",
"0.7303862",
"0.71846604",
"0.7127741",
"0.71195436",
"0.70976794",
"0.7094367",
"0.7023224",
"0.69831747",
"0.6977276",
"0.6967064",
"0.69567615",
"0.69160146",
"0.6896866",
"0.6894308",
"0.6850953",
"0.682168",
"0.6805597",
"0.6803503... | 0.7392667 | 1 |
Plots performance diagram. T = number of binarization thresholds For the definition of a "binarization threshold" and the role they play in performance diagrams, see `model_evaluation.get_points_in_performance_diagram`. | def plot_performance_diagram(
axes_object, pod_by_threshold, success_ratio_by_threshold,
line_colour=DEFAULT_PERFORMANCE_COLOUR,
line_width=DEFAULT_PERFORMANCE_WIDTH,
bias_line_colour=DEFAULT_FREQ_BIAS_COLOUR,
bias_line_width=DEFAULT_FREQ_BIAS_WIDTH):
error_checking.assert_i... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def plot_speed_benchmark(dump_dir):\n\n speed_file = os.path.join(dump_dir, \"stats/rnn_speed.csv\")\n\n assert os.path.isfile(speed_file), lu.str_to_redstr(\n f\"speed_file does not exist. Run ``python run.py --speed`` first.\"\n )\n\n df = pd.read_csv(speed_file)\n\n df_cpu = df[df.device =... | [
"0.6401355",
"0.6201942",
"0.61735725",
"0.61091715",
"0.60627824",
"0.59896445",
"0.5984814",
"0.59826",
"0.5948178",
"0.59363383",
"0.59315336",
"0.5838213",
"0.5787903",
"0.5731635",
"0.5678382",
"0.56406707",
"0.56393766",
"0.5616087",
"0.55818635",
"0.55578893",
"0.55230... | 0.5602536 | 18 |
Bootstrapped version of plot_performance_diagram. | def plot_bootstrapped_performance_diagram(
axes_object, ci_bottom_dict, ci_mean_dict, ci_top_dict,
line_colour=DEFAULT_PERFORMANCE_COLOUR,
line_width=DEFAULT_PERFORMANCE_WIDTH,
bias_line_colour=DEFAULT_FREQ_BIAS_COLOUR,
bias_line_width=DEFAULT_FREQ_BIAS_WIDTH):
plot_performa... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def create_dashboard(h, t, k, p):\n plt.style.use('seaborn')\n # Initialize the dashboard\n fig = plt.figure(figsize=(20, 8))\n ax1 = fig.add_subplot(2, 2, 1)\n ax2 = fig.add_subplot(2, 2, 2)\n ax3 = fig.add_subplot(2, 2, 3)\n ax4 = fig.add_subplot(2, 2, 4)\n\n # Create individual graphs\n ... | [
"0.59768915",
"0.57902294",
"0.57902294",
"0.56942993",
"0.5668916",
"0.56470734",
"0.557234",
"0.55706507",
"0.55304885",
"0.55228186",
"0.5484611",
"0.5461995",
"0.5434274",
"0.5413838",
"0.5411302",
"0.54013497",
"0.5389023",
"0.53875077",
"0.5386788",
"0.5372324",
"0.5351... | 0.6330226 | 0 |
Plots reliability curve. B = number of bins (separated by forecast probability) | def plot_reliability_curve(
axes_object, mean_forecast_by_bin, event_frequency_by_bin,
line_colour=DEFAULT_RELIABILITY_COLOUR,
line_width=DEFAULT_RELIABILITY_WIDTH,
perfect_line_colour=DEFAULT_PERFECT_RELIABILITY_COLOUR,
perfect_line_width=DEFAULT_PERFECT_RELIABILITY_WIDTH):
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def plot_progression(weights, bhs, bvs):\n\tweights_plot = []\n\tfor i in range(40):\n\t\tweights_plot.append(weights[i][0][0])\t# only plots the first value in the matrix every time\n\tplt.plot(weights_plot)\n\n\tplt.show()",
"def plot_betweeness(net, label, outpath):\n _, betweeness_values = networkit_util.... | [
"0.6400032",
"0.6181155",
"0.609827",
"0.6062676",
"0.60387135",
"0.6023721",
"0.59199935",
"0.5901988",
"0.58723277",
"0.5864173",
"0.5836554",
"0.5822969",
"0.5810661",
"0.5806116",
"0.5801238",
"0.5745483",
"0.5742041",
"0.5731765",
"0.5709502",
"0.5707094",
"0.5682834",
... | 0.5780638 | 15 |
Bootstrapped version of plot_reliability_curve. B = number of bins (separated by forecast probability) | def plot_bootstrapped_reliability_curve(
axes_object, ci_bottom_dict, ci_mean_dict, ci_top_dict,
line_colour=DEFAULT_RELIABILITY_COLOUR,
line_width=DEFAULT_RELIABILITY_WIDTH,
perfect_line_colour=DEFAULT_PERFECT_RELIABILITY_COLOUR,
perfect_line_width=DEFAULT_PERFECT_RELIABILITY_WI... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def plot_reliability_curve(\n axes_object, mean_forecast_by_bin, event_frequency_by_bin,\n line_colour=DEFAULT_RELIABILITY_COLOUR,\n line_width=DEFAULT_RELIABILITY_WIDTH,\n perfect_line_colour=DEFAULT_PERFECT_RELIABILITY_COLOUR,\n perfect_line_width=DEFAULT_PERFECT_RELIABILITY_WI... | [
"0.61927634",
"0.584321",
"0.58100855",
"0.57739335",
"0.57387716",
"0.5699075",
"0.5687666",
"0.5648579",
"0.5588099",
"0.5552348",
"0.55387723",
"0.55168885",
"0.54948616",
"0.5494651",
"0.54943234",
"0.5490119",
"0.54568595",
"0.5451723",
"0.5428895",
"0.54109",
"0.5395559... | 0.6703668 | 0 |
Plots attributes diagram (Hsu and Murphy 1986). | def plot_attributes_diagram(
figure_object, axes_object, mean_forecast_by_bin,
event_frequency_by_bin, num_examples_by_bin,
reliability_line_colour=DEFAULT_RELIABILITY_COLOUR,
reliability_line_width=DEFAULT_RELIABILITY_WIDTH,
perfect_relia_line_colour=DEFAULT_PERFECT_RELIABILITY_... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def plot_attribute_dist(self, attribute='num_notes', plt_type='pca'):\n (_, _, gen_test) = self.dataset.data_loaders(\n batch_size=64, # TODO: remove this hard coding\n split=(0.01, 0.01)\n )\n z_all = []\n n_all = []\n num_samples = 5\n for sample_i... | [
"0.6157655",
"0.6134641",
"0.59872305",
"0.5886937",
"0.5886325",
"0.58799595",
"0.5786425",
"0.57618356",
"0.57104844",
"0.56591445",
"0.5654022",
"0.5650096",
"0.5631834",
"0.56256115",
"0.56029093",
"0.55969733",
"0.5561705",
"0.55548537",
"0.55546737",
"0.5534843",
"0.553... | 0.5372712 | 35 |
Bootstrapped version of plot_attributes_diagram. | def plot_bootstrapped_attributes_diagram(
figure_object, axes_object, ci_bottom_dict, ci_mean_dict, ci_top_dict,
num_examples_by_bin,
reliability_line_colour=DEFAULT_RELIABILITY_COLOUR,
reliability_line_width=DEFAULT_RELIABILITY_WIDTH,
perfect_relia_line_colour=DEFAULT_PERFECT_RE... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def __init__(self, width, height, data, palette, labels, axis_labels=[], axis_label_height=16):\n\n DiagramElement.__init__(self)\n self.palette = palette\n self.labels = labels\n self.plot = DiscretePlot(width, height, data, self.labels, axis_labels,axis_label_height)\n self.plo... | [
"0.5769211",
"0.5578839",
"0.5578839",
"0.5510679",
"0.5479296",
"0.5369858",
"0.5342495",
"0.53263974",
"0.5322546",
"0.51956356",
"0.5170794",
"0.5103581",
"0.5096639",
"0.505632",
"0.49624193",
"0.49553692",
"0.49490607",
"0.4941913",
"0.49288616",
"0.49155903",
"0.4908788... | 0.6774211 | 0 |
this method controls time and char relation | def alarmhandler(signum, frame):
signum = signum
frame = frame
raise AlarmException | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def ctime(self):\n return \"\"",
"def ctime(self):\n return \"\"",
"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... | [
"0.6375",
"0.6375",
"0.6288877",
"0.61069393",
"0.59520406",
"0.59172434",
"0.58609587",
"0.5826218",
"0.5795813",
"0.578609",
"0.5783455",
"0.57534885",
"0.5731229",
"0.572486",
"0.57128537",
"0.5670618",
"0.56288886",
"0.5583386",
"0.55816156",
"0.55789655",
"0.5555492",
... | 0.0 | -1 |
this method is to get input | def input_to(timeout=1): # time after which enemies move automatically
signal.signal(signal.SIGALRM, alarmhandler)
signal.alarm(timeout)
try:
text = G()
signal.alarm(0)
return text
except AlarmException:
print("\n Prompt timeout. Continuing")
signal.signal(signal.SIG... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def input(self):",
"def input(self):\r\n pass",
"def get_input(self):\n pass",
"def _get_input(self):\n return self.__input",
"def _get_input(self):\n return self.__input",
"def _get_input(self):\n return self.__input",
"def _get_input(self):\n return self.__input",
"def _get_in... | [
"0.83148164",
"0.8185454",
"0.81561816",
"0.80938476",
"0.80938476",
"0.80938476",
"0.80938476",
"0.80938476",
"0.80938476",
"0.80938476",
"0.75742227",
"0.73511696",
"0.73511696",
"0.70644873",
"0.7038125",
"0.6909052",
"0.6897651",
"0.6852462",
"0.68499005",
"0.6841098",
"0... | 0.0 | -1 |
this method prints board | def printboard(BNE):
row = 0
col = 0
for temp in BNE:
row += 1
for jtemp in temp:
jtemp = jtemp
col += 1
print(BNE[row - 1][col - 1], end='')
col = 0
print(end='\n') # to get contents printed on new line end should be \n
print('Score:'... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def printBoard(self):",
"def print_board(self):\n print('Board:')\n print('\\n'.join([''.join(['{:4}'.format(item) for item in row]) for row in self.board]))",
"def _print_board(board):\r\n pass",
"def print_board(self):\n print_sp = functools.partial(print, end=' ')\n pri... | [
"0.9154919",
"0.8968014",
"0.8914365",
"0.88704693",
"0.8859892",
"0.88116366",
"0.87902397",
"0.8749738",
"0.87482935",
"0.87109226",
"0.8686641",
"0.86753064",
"0.86753064",
"0.86724365",
"0.8626073",
"0.862481",
"0.8596138",
"0.85820305",
"0.8566682",
"0.8558604",
"0.85124... | 0.0 | -1 |
this method prints board | def printboard1():
row = 0
col = 0
for temp1 in BNE:
row += 1
for jtemp1 in temp1:
jtemp1 = jtemp1
col += 1
if BNE[row - 1][col - 1] == 'e': # replace 'e' with ' '
BNE[row - 1][col - 1] = ' ' # after explosion
print(BNE[r... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def printBoard(self):",
"def print_board(self):\n print('Board:')\n print('\\n'.join([''.join(['{:4}'.format(item) for item in row]) for row in self.board]))",
"def _print_board(board):\r\n pass",
"def print_board(self):\n print_sp = functools.partial(print, end=' ')\n pri... | [
"0.9154919",
"0.8968014",
"0.8914365",
"0.88704693",
"0.8859892",
"0.88116366",
"0.87902397",
"0.8749738",
"0.87482935",
"0.87109226",
"0.8686641",
"0.86753064",
"0.86753064",
"0.86724365",
"0.8626073",
"0.862481",
"0.8596138",
"0.85820305",
"0.8566682",
"0.8558604",
"0.85124... | 0.0 | -1 |
this method starts the game | def startgame(BNE):
nextstep = time.time() + 1 # value to make enemies move automatically
flag = 0 # bomb is not there on the board
B.score = 0
while True:
inp = input_to()
if inp == 'q':
break
if inp == 'w':
BNE = B.moveup(BNE,... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def start_game(self):\n\n\t\tpass",
"def start_game(self):\n print(\"hi there, game started!\")\n self.draw()",
"def start_game(self) -> None:\n self.init_game()\n self.play()",
"def start(self):\n self.save_checkpoint(\"setup\")\n\n logging.info(\"Starting game...\")\n b... | [
"0.9270441",
"0.87106586",
"0.86542255",
"0.8449429",
"0.8325229",
"0.8176033",
"0.8027224",
"0.7921875",
"0.7909444",
"0.78747636",
"0.7840275",
"0.78296155",
"0.7829269",
"0.77803576",
"0.7773749",
"0.7755486",
"0.77514756",
"0.7734114",
"0.77219874",
"0.7705575",
"0.769944... | 0.0 | -1 |
Provides the spin from an int. +1 == Spin.up, 1 == Spin.down. | def from_int(i):
if i == 1:
return Spin.up
elif i == -1:
return Spin.down
else:
raise ValueError("Spin integers must be 1 or -1") | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_spin(self, i):\n \n return 1 if self.spins[i] else -1",
"def spin(mult):\n return mult - 1",
"def getSpinControl(*args):",
"def on_spin(self, event):\n spin_value = self.spin_run.GetValue()\n text = \"\".join([_(u\"New run spin control value: \"), str(spin_value)])\n ... | [
"0.7496796",
"0.7100908",
"0.66705376",
"0.66398364",
"0.65249074",
"0.64780074",
"0.6415233",
"0.630757",
"0.6230635",
"0.6085406",
"0.5867",
"0.58657813",
"0.5847536",
"0.582126",
"0.5800157",
"0.57851535",
"0.57549834",
"0.57405555",
"0.5706542",
"0.5580043",
"0.5572952",
... | 0.8344842 | 0 |
String indicating the type of orbital. Is always uppercase. E.g., S, P, D, F, etc. | def orbital_type(self):
return self.name[0].upper() | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def getType(self):\n if (self.type == 's'):\n #suit type\n type = \"suit\"\n elif (self.type == 'b'):\n #boss type\n type = \"boss\"\n else:\n notify.error(\"Invalid DNA type: \", self.type)\n\n return type",
"def unit_type(self) ... | [
"0.64918655",
"0.6483131",
"0.6290639",
"0.5996382",
"0.5951763",
"0.5928909",
"0.5896806",
"0.5896335",
"0.5885597",
"0.58396786",
"0.5786302",
"0.571342",
"0.57116663",
"0.5709346",
"0.567985",
"0.5675378",
"0.56724256",
"0.56724256",
"0.56605196",
"0.5654156",
"0.56412363"... | 0.819442 | 0 |
Returns an orbital based on the index of the orbital in VASP runs. | def from_vasp_index(i):
return Orbital.all_orbitals[i] | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def orbit_index():\n return OrbitController.invoke(OUTPUT_DIRECTORY)",
"def get_vsolar(self):\n return self.read_register(4098, 1, 3)",
"def get_orbit(self):\n return self.get_attr('orbit')",
"def get_solar(self, name_building):\n return self._solar.loc[name_building]",
"def solar_t... | [
"0.63372135",
"0.5902144",
"0.5708969",
"0.5705622",
"0.5473955",
"0.5333812",
"0.5275198",
"0.5232643",
"0.5220132",
"0.51939213",
"0.5165619",
"0.5133298",
"0.5122275",
"0.5114667",
"0.50612587",
"0.50426286",
"0.50406325",
"0.49916345",
"0.49804333",
"0.49263537",
"0.49151... | 0.80536574 | 0 |
Returns an orbital from a string representation, e.g., "s", "px". | def from_string(orb_str):
for orb in Orbital.all_orbitals:
if str(orb) == orb_str:
return orb
raise ValueError("Illegal orbital definition!") | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def fromString(cls, string):\n # From SAM specification v1.5, slightly adapted for single-token parsing\n pattern = r\"^[0-9]+[MIDNSHPX=]\" \n string = string.strip()\n if string == '*':\n return CIGAR.fromList(['*'])\n parsed = []\n s = string\n # Parse ... | [
"0.5704035",
"0.5645704",
"0.56413406",
"0.558188",
"0.5521622",
"0.5513611",
"0.5464635",
"0.54529065",
"0.5443319",
"0.5428483",
"0.5418516",
"0.53966254",
"0.53935385",
"0.53825116",
"0.5334332",
"0.5319566",
"0.52879316",
"0.5284919",
"0.5277784",
"0.5237857",
"0.52367216... | 0.67074496 | 0 |
Helper function to parse Asterisk mxml responses over AJAM. | def etree_to_dict(t):
d = {t.tag: {} if t.attrib else None}
children = list(t)
if children:
dd = defaultdict(list)
for dc in map(etree_to_dict, children):
for k, v in dc.items():
dd[k].append(v)
d = {t.tag: {k:v[0] if len(v) == 1 else v for k, v in dd.item... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def parse_aunit_response(aunit_results_xml):\n\n xml_handler = AUnitResponseHandler()\n xml.sax.parseString(aunit_results_xml, xml_handler)\n\n return xml_handler",
"def parse_aprs (packet):\n\n print (packet)\n if len(packet) == 0:\n return\n\n chan = ''\n # Split into address and in... | [
"0.64191806",
"0.6136312",
"0.6040955",
"0.58329314",
"0.57191724",
"0.56828016",
"0.5450483",
"0.54062784",
"0.53085005",
"0.52578115",
"0.5247155",
"0.52422374",
"0.5177752",
"0.51586944",
"0.5096927",
"0.50454915",
"0.50400144",
"0.5014877",
"0.50111437",
"0.5009018",
"0.4... | 0.0 | -1 |
We use cli_url to set CLI URL and reflect this in cli_area to take it from JS. | def _get_cli_area(self):
for rec in self:
rec.cli_area = rec.cli_url | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _set_cli_area(self):\n pass",
"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():",
... | [
"0.67812735",
"0.6515039",
"0.6515039",
"0.6515039",
"0.6515039",
"0.6515039",
"0.6515039",
"0.6515039",
"0.6515039",
"0.6515039",
"0.6515039",
"0.6515039",
"0.6515039",
"0.6515039",
"0.6515039",
"0.6515039",
"0.6515039",
"0.6515039",
"0.6515039",
"0.6515039",
"0.6515039",
... | 0.68657756 | 0 |
STUB as I don't know yet how to extend WEB widgets and get rid of this shit. | def _set_cli_area(self):
pass | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def init_widget(self):",
"def getWidget(self):",
"def XPHideWidget(inWidget):\n pass",
"def create_widgets(self):",
"def mainWidget(self):\n raise RuntimeError('Not implemented')",
"def XPShowWidget(inWidget):\n pass",
"def widget(self, p_int): # real signature unknown; restored from __doc... | [
"0.7079398",
"0.7067382",
"0.70150965",
"0.69593006",
"0.68012637",
"0.6722416",
"0.6709623",
"0.6709623",
"0.6686431",
"0.65496624",
"0.6527676",
"0.6465312",
"0.64285773",
"0.6391126",
"0.6325712",
"0.62870103",
"0.6269375",
"0.62110406",
"0.6193662",
"0.61610067",
"0.61449... | 0.0 | -1 |
Apt uses for communication with its methods the text protocol similar to http. This function parses the protocol messages from stdin. | def _read_message(self):
if self.__eof:
return None
result = {}
line = sys.stdin.readline()
while line == '\n':
line = sys.stdin.readline()
if not line:
self.__eof = True
return None
s = line.split(" ", 1)
result['_n... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def parse(self, input):\n pass",
"def parse_stdin(self, data):\n return data",
"def read_input(self) -> None:\n raw_input = sys.stdin.read()\n\n self.input = raw_input.split('\\n')\n self.input = self.input[0:-1]\n\n self.packets = []\n for item in self.input:\n... | [
"0.6306659",
"0.62820286",
"0.6222984",
"0.6201341",
"0.61170065",
"0.5782295",
"0.5776556",
"0.57491636",
"0.574258",
"0.5739675",
"0.5669993",
"0.5626461",
"0.55610186",
"0.55353254",
"0.5533662",
"0.54809386",
"0.5467153",
"0.5466668",
"0.5457796",
"0.54416585",
"0.5436949... | 0.6077693 | 5 |
Loop through requests on stdin | def run(self):
while True:
message = self._read_message()
logger.debug(message)
if message is None:
return 0
if message['_number'] == 600:
try:
if message['URI'].endswith('Release'):
self.... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def run(self):\n while True:\n req = self._requests.get()[1]\n req.start()\n logging.info('Running request %s', req)",
"def handle(self):\n req_lines = self._read_lines()\n if not req_lines:\n self.cleanup()\n for req in req_lines:\n ... | [
"0.63727874",
"0.61013925",
"0.6043009",
"0.5817638",
"0.5750711",
"0.56076044",
"0.55774134",
"0.5559532",
"0.5545996",
"0.55304486",
"0.5526393",
"0.5513909",
"0.55078477",
"0.5507755",
"0.5500825",
"0.54575986",
"0.54520863",
"0.545059",
"0.5434138",
"0.5434013",
"0.542451... | 0.0 | -1 |
For use to one hot encode the 10 possible labels. This will translate the labels from words/strings to a string of ints. Helps the CNN determine which label to apply. | def one_hot_encode(vector, values = 10):
n = len(vector)
out = numpy.zeros( (n, values) )
out[range(n), vector] = 1
return out | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def label_to_onehot(labels):\n label_dict = {'THEORETICAL': 0, 'ENGINEERING': 1, 'EMPIRICAL': 2, 'OTHERS': 3}\n onehot = [0, 0, 0, 0]\n for l in labels.split():\n onehot[label_dict[l]] = 1\n return onehot",
"def encode_labels(self, y, num_labels):\n onehot = np.zeros((num_labels, y.shap... | [
"0.7619558",
"0.7610005",
"0.7477685",
"0.7434517",
"0.7328804",
"0.7328804",
"0.73225486",
"0.7252873",
"0.7234458",
"0.7229771",
"0.72178775",
"0.7207976",
"0.71952957",
"0.71811646",
"0.71035236",
"0.7076326",
"0.7062962",
"0.70618916",
"0.70064986",
"0.7004212",
"0.699154... | 0.0 | -1 |
Inserts breakpoints into code | def bp_ins(filename, start, end):
with open(filename, 'r') as f:
lines = f.readlines()
lines.insert(start-1, "")
lines.insert(end+1, "")
lines.insert(0, "")
lines[start-1] = 'ipdb.set_trace()\n'
lines[end+1] = 'ipdb.set_trace()\n'
lines[0] = "import ipdb\n"
with open(f"break_{fil... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def add_breakpoint():\n raise NotImplementedError()",
"def gdb_breakpoint():\n _gdb_python_call_gen('gdb_breakpoint')()",
"def break_code(self, breakpoint):\n\n self.cont = False\n self.pause_reason = \"breakpoint\"\n self.scope_assign = {}\n self.scope_var_id = 0\n han... | [
"0.75142455",
"0.6993647",
"0.64676607",
"0.63605744",
"0.62337136",
"0.6182318",
"0.61285335",
"0.6127929",
"0.59779215",
"0.5898219",
"0.5866709",
"0.58543456",
"0.580009",
"0.57349426",
"0.56881565",
"0.56861484",
"0.5679313",
"0.56781137",
"0.5659",
"0.5645631",
"0.562168... | 0.5888767 | 10 |
Executes provided file through the console | def debug_file_exec(filename):
exec(open(f"break_{filename}").read()) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def do_file(self, arg):\n\n try:\n self.context.mode = ExecutionMode.SCRIPT\n with open(arg) as script:\n for line in script:\n line = self.owner.precmd(line)\n self.owner.print_line(line)\n self.owner.onecmd(line)... | [
"0.75281173",
"0.75058365",
"0.7475906",
"0.73540455",
"0.7189997",
"0.70718676",
"0.7006774",
"0.6999836",
"0.69913876",
"0.69372654",
"0.6860996",
"0.67678684",
"0.67173374",
"0.66768223",
"0.66556096",
"0.66509295",
"0.664758",
"0.6537949",
"0.6528355",
"0.6478455",
"0.643... | 0.5807744 | 62 |
Asks for the user to guess numbers and turns the strings to a list | def user_guess():
return list(input("What is your guess?")) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def user_input():\n guess_num = int(input(\"please type four-digit: \"))\n guess_list = list(str(guess_num))\n return guess_list",
"def convert_str_input_into_list_of_int(guess_input):\n guess = list(guess_input)\n guess = [int(x) for x in guess]\n return guess",
"def get_user_list(question):... | [
"0.7755962",
"0.69793016",
"0.6891124",
"0.6676904",
"0.63334835",
"0.63176185",
"0.62182146",
"0.60630065",
"0.60263",
"0.5925718",
"0.58965445",
"0.5883831",
"0.58714354",
"0.58387905",
"0.5829174",
"0.5744655",
"0.5730842",
"0.5711055",
"0.5682094",
"0.5649758",
"0.5617869... | 0.73835796 | 1 |
Generates three random numbers in a list | def code_generator():
digits = [str(num) for num in range(10)]
random.shuffle(digits)
return digits[:3] | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def one_in_three():\n chance = random.randrange(0, 3)\n return chance",
"def random_number() -> int:\r\n return random.randint(1, 3)",
"def three_times_nums(num_list):",
"def getRandomList(n):\n lyst = list()\n for count in range (n):\n lyst.append(random.randint(1, n))\n return lyst... | [
"0.7464285",
"0.6918836",
"0.6901644",
"0.6819775",
"0.6784882",
"0.6728731",
"0.66056776",
"0.6555976",
"0.6504841",
"0.65035915",
"0.65013784",
"0.6452814",
"0.64337295",
"0.64287174",
"0.6375383",
"0.63752186",
"0.6342449",
"0.6314323",
"0.62993443",
"0.62821555",
"0.62691... | 0.6364137 | 16 |
It takes the code generater by the machine and the user's guess then compares the numbers in a loop and creates a list of clues according to the matching parameters | def clues_generator(code, userGuess):
if userGuess == code:
return "Code Cracked!"
clues = []
# Compare guess to code
for ind, num in enumerate(userGuess):
if num == code[ind]:
clues.append("Match")
elif num in code:
clues.append("Close")
if clues ==... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def eval_guess(self, Guess):\n\n\t\t# pulls comparison from win check and assigns peg responses \n\n\t\t# returns a list to be in hint_response\n\n\t\t# displays as part of big display in view.\n\n\t\t\"\"\"Borrow the logic from win_check to implement eval_guess. Use variables right and wrong to \n\t\tevaluate. Ri... | [
"0.65523076",
"0.6467425",
"0.6455887",
"0.63705254",
"0.6136182",
"0.5947095",
"0.5909345",
"0.58723474",
"0.5860619",
"0.58369917",
"0.58310723",
"0.5819333",
"0.5809662",
"0.5804019",
"0.5748134",
"0.5729847",
"0.5718463",
"0.57156974",
"0.5695532",
"0.56886834",
"0.567663... | 0.75308436 | 0 |
Get compute plugin disabled status | def nfvi_compute_plugin_disabled():
return (_compute_plugin is None) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_disabled_plugins(self):\n return self._disabled_plugins",
"def getDisabledPlugin(self, *args):\n return _libsbml.SBase_getDisabledPlugin(self, *args)",
"def get_disabled(self):\n return self._disabled",
"def get_disabled(self):\n return self._disabled",
"def getNumDisabl... | [
"0.7047027",
"0.66642225",
"0.6457143",
"0.6457143",
"0.6397048",
"0.63932973",
"0.63549125",
"0.6290539",
"0.62651056",
"0.62651056",
"0.61825705",
"0.615268",
"0.6097714",
"0.6097714",
"0.6058149",
"0.6056175",
"0.60538864",
"0.6039746",
"0.60189015",
"0.6017175",
"0.600594... | 0.7179284 | 0 |
Get a list of host aggregates | def nfvi_get_host_aggregates(callback):
cmd_id = _compute_plugin.invoke_plugin('get_host_aggregates',
callback=callback)
return cmd_id | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def compute_host_aggregates(self):\n path = '/os-aggregates'\n res = self.compute.call(path, 'GET', data='', \n token=self.manager.identity.token)\n self.logger.debug('Get openstack host aggregates: %s' % truncate(res))\n return res[0]['aggregates']",
"d... | [
"0.82682306",
"0.65386385",
"0.650028",
"0.62470096",
"0.6212668",
"0.6188747",
"0.61886394",
"0.6129932",
"0.6109547",
"0.6059295",
"0.58552474",
"0.5842673",
"0.5836488",
"0.5821537",
"0.5802988",
"0.5714081",
"0.57066965",
"0.56985897",
"0.56599617",
"0.5650841",
"0.565036... | 0.7245975 | 1 |
Get a list of hypervisors | def nfvi_get_hypervisors(callback):
cmd_id = _compute_plugin.invoke_plugin('get_hypervisors',
callback=callback)
return cmd_id | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def compute_hypervisors(self):\n path = '/os-hypervisors/detail'\n res = self.compute.call(path, 'GET', data='', \n token=self.manager.identity.token)\n self.logger.debug('Get openstack hypervisors: %s' % truncate(res))\n return res[0]['hypervisors']",
"... | [
"0.79112303",
"0.751754",
"0.66653055",
"0.6560949",
"0.5948298",
"0.5851004",
"0.5822611",
"0.57840484",
"0.57010585",
"0.56908005",
"0.5658302",
"0.5649874",
"0.56252897",
"0.56251174",
"0.56110847",
"0.557076",
"0.5563254",
"0.5522532",
"0.55079365",
"0.5506534",
"0.550181... | 0.7392484 | 2 |
Get a list of instance types | def nfvi_get_instance_types(paging, callback):
cmd_id = _compute_plugin.invoke_plugin('get_instance_types', paging,
callback=callback)
return cmd_id | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def instance_types(self) -> Sequence[str]:\n return pulumi.get(self, \"instance_types\")",
"def get_instance_classes():\n return Base_Instance.get_instance_classes()",
"def instance_classes(self) -> Sequence[str]:\n return pulumi.get(self, \"instance_classes\")",
"def getTypesList():\n ... | [
"0.81660527",
"0.7535378",
"0.7436036",
"0.7412654",
"0.73744756",
"0.7340406",
"0.7082",
"0.701241",
"0.70042306",
"0.6944061",
"0.6931257",
"0.6911345",
"0.69008607",
"0.6876258",
"0.667491",
"0.6672907",
"0.664245",
"0.66406167",
"0.66048896",
"0.65750015",
"0.6544737",
... | 0.6962659 | 9 |
Create an instance type | def nfvi_create_instance_type(instance_type_uuid, instance_type_name,
instance_type_attributes, callback):
cmd_id = _compute_plugin.invoke_plugin('create_instance_type',
instance_type_uuid,
instance_t... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def Instance(self) -> TypeManager:",
"def __init__(self, inst, class_type):\n\t\tself.type = str(class_type)[7:]\n\t\tself.type = self.type[:-1]\n\t\tself.inst = inst\n\t\treturn",
"def create_instance(c_instance):\n\treturn 0",
"def create_instance(self,name):\n print \"INFO : new %s\" % name\n retu... | [
"0.70323706",
"0.6804457",
"0.67378426",
"0.66944134",
"0.66899633",
"0.66505414",
"0.6641462",
"0.6580538",
"0.65522",
"0.65520185",
"0.6531432",
"0.650623",
"0.6420706",
"0.6394156",
"0.63840836",
"0.6373831",
"0.6338971",
"0.6324974",
"0.6298098",
"0.62654406",
"0.6248032"... | 0.6609128 | 7 |
Delete an instance type | def nfvi_delete_instance_type(instance_type_uuid, callback):
cmd_id = _compute_plugin.invoke_plugin('delete_instance_type',
instance_type_uuid,
callback=callback)
return cmd_id | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def delete(cls, type_obj):\n DB.session.delete(type_obj)\n DB.session.commit()",
"def test_instance_type_create_then_delete(self):\n name = 'Small Flavor'\n flavorid = 'flavor1'\n\n original_list = instance_types.get_all_types()\n\n # create new type and make sure values... | [
"0.75105196",
"0.7219865",
"0.71700513",
"0.68534404",
"0.6839456",
"0.6828863",
"0.6794721",
"0.67646134",
"0.6655979",
"0.66524136",
"0.66384214",
"0.6603012",
"0.65674657",
"0.6551319",
"0.6535387",
"0.6509424",
"0.6474037",
"0.64697915",
"0.6459448",
"0.6426711",
"0.64048... | 0.738218 | 1 |
Get an instance type | def nfvi_get_instance_type(instance_type_uuid, callback):
cmd_id = _compute_plugin.invoke_plugin('get_instance_type',
instance_type_uuid,
callback=callback)
return cmd_id | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def instance_type(self) -> pulumi.Input[str]:\n return pulumi.get(self, \"instance_type\")",
"def instance_type(self) -> pulumi.Input[str]:\n return pulumi.get(self, \"instance_type\")",
"def instance_type(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"instance_type\")",... | [
"0.7858931",
"0.7858931",
"0.7729616",
"0.75640863",
"0.74854463",
"0.7416018",
"0.7412319",
"0.7407187",
"0.7407187",
"0.7407187",
"0.7407187",
"0.7407187",
"0.7407187",
"0.7407187",
"0.7407187",
"0.7407187",
"0.7407187",
"0.7407187",
"0.7407187",
"0.7407187",
"0.7407187",
... | 0.690489 | 49 |
Get a list of instance groups | def nfvi_get_instance_groups(callback):
cmd_id = _compute_plugin.invoke_plugin('get_instance_groups',
callback=callback)
return cmd_id | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def group(self):\n instances = self.instances\n groups = []\n for i in range(len(self.labels)):\n groups.append([instance for instance in instances if instance[-1] == self.labels[i]])\n return groups",
"def groups(self):\n return []",
"def getGroups():\r\n r... | [
"0.7936195",
"0.7689464",
"0.76814425",
"0.7616023",
"0.7589611",
"0.75577134",
"0.7503055",
"0.7470981",
"0.7402263",
"0.73279613",
"0.7312847",
"0.7306534",
"0.73041123",
"0.72878385",
"0.72878385",
"0.72878385",
"0.72705674",
"0.7213948",
"0.7133093",
"0.71288484",
"0.7113... | 0.76402324 | 3 |
Get a list of instances | def nfvi_get_instances(paging, callback, context=None):
cmd_id = _compute_plugin.invoke_plugin('get_instances', paging, context,
callback=callback)
return cmd_id | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_instances(cls):\n raise NotImplementedError",
"def list_instances(self):\n # list instances\n self._list_instances()",
"def instances(self):\n return self.get('instances')",
"def instances(self, **query):\n return self._list(_instance.Instance, **query)",
"def sho... | [
"0.84727585",
"0.842499",
"0.78484535",
"0.77498925",
"0.77399474",
"0.77090836",
"0.7706824",
"0.76598173",
"0.75492424",
"0.7474748",
"0.7390956",
"0.7378108",
"0.72367144",
"0.7233143",
"0.71794736",
"0.71741885",
"0.71656644",
"0.71555954",
"0.71463233",
"0.71233106",
"0.... | 0.0 | -1 |
Live migrate an instance | def nfvi_live_migrate_instance(instance_uuid, callback, to_host_name=None,
block_storage_migration='auto', context=None):
if context is None:
cmd_id = _compute_plugin.invoke_plugin_expediate(
'live_migrate_instance', instance_uuid, to_host_name,
block_s... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def migrate(self):\n\tpass",
"def migrate(cls)->None:\n pass",
"def migration():",
"def migrate(ctx):\n connecter = ScalingoInterface(ctx.obj)\n connecter.manage_py(\"migrate\")",
"def migrate(cr, version):\n pass",
"def migrate_database(self):\n\n self.db.migrate_database()",
"d... | [
"0.75730634",
"0.7123071",
"0.70456356",
"0.6972351",
"0.6669681",
"0.6351536",
"0.62965226",
"0.6214062",
"0.6187444",
"0.61660546",
"0.6122363",
"0.6104745",
"0.6022302",
"0.5954714",
"0.5931229",
"0.5864479",
"0.5863038",
"0.58564633",
"0.5856224",
"0.58512694",
"0.5849165... | 0.67845047 | 4 |
Cold migrate an instance | def nfvi_cold_migrate_instance(instance_uuid, callback, to_host_name=None,
context=None):
if context is None:
cmd_id = _compute_plugin.invoke_plugin_expediate(
'cold_migrate_instance', instance_uuid, to_host_name, context,
callback=callback)
else:
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def migrate(self):\n\tpass",
"def migrate(cr, version):\n pass",
"def migrate(cls)->None:\n pass",
"def migration():",
"def migrate(ctx):\n connecter = ScalingoInterface(ctx.obj)\n connecter.manage_py(\"migrate\")",
"def post_migrations(self):",
"def model_post_migrate(*args, **kwargs):... | [
"0.7329543",
"0.6954517",
"0.68720347",
"0.6605521",
"0.65372694",
"0.6288195",
"0.6242308",
"0.623792",
"0.61931604",
"0.6140751",
"0.61181766",
"0.6097446",
"0.6076026",
"0.6048482",
"0.59686345",
"0.59640205",
"0.5955205",
"0.5951078",
"0.59448874",
"0.59367293",
"0.593385... | 0.61189204 | 10 |
Cold migrate confirm an instance | def nfvi_cold_migrate_confirm_instance(instance_uuid, callback, context=None):
if context is None:
cmd_id = _compute_plugin.invoke_plugin_expediate(
'cold_migrate_confirm_instance', instance_uuid, context,
callback=callback)
else:
cmd_id = _compute_plugin.invoke_plugin(
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def confirm_migration(self, migration, instance, network_info):\n raise NotImplementedError()",
"def migrate(self):\n\tpass",
"def migrate():\n if apply_migrations():\n click.echo(OK)\n else:\n sys.exit(1)",
"def migrate(cr, version):\n pass",
"def post_migrations(self):",
"... | [
"0.72407913",
"0.6868304",
"0.6802639",
"0.6643721",
"0.64271414",
"0.6412695",
"0.63651156",
"0.6314516",
"0.63011813",
"0.61909187",
"0.6099909",
"0.60377604",
"0.6023261",
"0.59750897",
"0.5949194",
"0.59245265",
"0.5899963",
"0.5899963",
"0.58728546",
"0.58728546",
"0.586... | 0.7104281 | 1 |
Cold migrate revert an instance | def nfvi_cold_migrate_revert_instance(instance_uuid, callback, context=None):
cmd_id = _compute_plugin.invoke_plugin('cold_migrate_revert_instance',
instance_uuid, context,
callback=callback)
return cmd_id | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def migrate(cr, version):\n pass",
"def migrate(self):\n\tpass",
"def post_revert(self):",
"def pre_revert(self):",
"def migration():",
"def test_migration_task_rollback(self):\n server, source_host, target_host = self._create_server()\n self._disable_target_host(target_host)\n se... | [
"0.69084084",
"0.6837074",
"0.66857207",
"0.66517055",
"0.66482615",
"0.6580794",
"0.6542509",
"0.65224993",
"0.6518319",
"0.65061986",
"0.6489541",
"0.64496523",
"0.6444745",
"0.6442864",
"0.6369054",
"0.6349502",
"0.6275725",
"0.62747025",
"0.6249206",
"0.62250805",
"0.6209... | 0.739316 | 0 |
Resize confirm an instance | def nfvi_resize_confirm_instance(instance_uuid, callback, context=None):
cmd_id = _compute_plugin.invoke_plugin('resize_confirm_instance',
instance_uuid, context,
callback=callback)
return cmd_id | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def handleResize(self):\n pass",
"def resizeEvent(self, event):\n self.resized.emit()\n return super(PiWndow, self).resizeEvent(event)",
"def resize(self):\n pass",
"def on_resize(self, width, height):\n self.gamestatemanager.peek().on_resize(width, height)",
"def OnResiz... | [
"0.7517562",
"0.7246645",
"0.7122518",
"0.70567065",
"0.69365686",
"0.69342285",
"0.68687326",
"0.68354404",
"0.6823279",
"0.68086725",
"0.6766548",
"0.6746385",
"0.67006433",
"0.6691146",
"0.66373914",
"0.6559301",
"0.65417355",
"0.65392864",
"0.653689",
"0.6516252",
"0.6497... | 0.6128036 | 47 |
Resize revert an instance | def nfvi_resize_revert_instance(instance_uuid, callback, context=None):
cmd_id = _compute_plugin.invoke_plugin('resize_revert_instance',
instance_uuid, context,
callback=callback)
return cmd_id | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def resize(self, old, new):",
"def resize(self):\r\n del self.win\r\n self.__create_win()",
"def resize(self):\n pass",
"def on_parent_resize(self, event):\n #self.resize()\n #self.resize_scaled(drag_rootx=self.resize_frame.winfo_rootx())\n self.resize_scaled(current... | [
"0.6986136",
"0.68204737",
"0.6661556",
"0.63614696",
"0.62983406",
"0.6171705",
"0.6011107",
"0.6008451",
"0.5987632",
"0.5973601",
"0.5963438",
"0.59527135",
"0.5929965",
"0.59045684",
"0.58809394",
"0.5872158",
"0.5844432",
"0.5821003",
"0.5806872",
"0.5796652",
"0.5757699... | 0.56798697 | 23 |
Reject an action against an instance | def nfvi_reject_instance_action(instance_uuid, message, context):
cmd_id = _compute_plugin.invoke_plugin('reject_instance_action',
instance_uuid, message, context)
return cmd_id | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def reject(self):\n pass",
"def reject(self, responder):\n self._apply_decision(self.Status.REJECTED, responder)",
"def on_reject(self):\n self.state = REJECTED\n self._reject()",
"def reject(self, message):\n boto_connection = connection.get_connection()\n boto_conn... | [
"0.7002768",
"0.64793044",
"0.6412309",
"0.6220728",
"0.6187695",
"0.6176384",
"0.6163549",
"0.6141075",
"0.61121845",
"0.6057996",
"0.603861",
"0.598698",
"0.5980348",
"0.5910807",
"0.5905218",
"0.5896408",
"0.5850485",
"0.584049",
"0.58146614",
"0.5792201",
"0.5752381",
"... | 0.702213 | 0 |
Register for instance state change notifications | def nfvi_register_instance_state_change_callback(callback):
_compute_plugin.invoke_plugin('register_instance_state_change_callback',
callback=callback) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def register_observers_with_gamestate(self):",
"def notify_observers(self, new_gamestate) -> None:",
"def notify_subscribers(self, instance, domain, state=None):\n if not self.notifier:\n return\n\n if not state:\n state = instance.state\n\n tups = domain.get_subscrib... | [
"0.69005334",
"0.66444683",
"0.6622507",
"0.6244537",
"0.6179251",
"0.6133368",
"0.6045187",
"0.6045187",
"0.59814507",
"0.59618044",
"0.58827865",
"0.58645016",
"0.5827011",
"0.58014655",
"0.5761547",
"0.5753698",
"0.56954235",
"0.5668303",
"0.5618803",
"0.55411404",
"0.5514... | 0.6628282 | 2 |
Register for instance action change notifications | def nfvi_register_instance_action_change_callback(callback):
_compute_plugin.invoke_plugin('register_instance_action_change_callback',
callback=callback) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def nfvi_register_instance_action_callback(callback):\n _compute_plugin.invoke_plugin('register_instance_action_callback',\n callback=callback)",
"def on_register(cls):",
"def notifyObservers(self):",
"def _instance_changed_handler ( self, name, old, new ):\n arg_li... | [
"0.6161295",
"0.6089405",
"0.59604",
"0.59021795",
"0.58711416",
"0.58598304",
"0.5859007",
"0.58397067",
"0.576684",
"0.56879747",
"0.5651403",
"0.5616433",
"0.5599115",
"0.5545698",
"0.55440086",
"0.55440086",
"0.55310184",
"0.552071",
"0.5515812",
"0.55045426",
"0.5493684"... | 0.6844933 | 0 |
Register for instance action callback | def nfvi_register_instance_action_callback(callback):
_compute_plugin.invoke_plugin('register_instance_action_callback',
callback=callback) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def nfvi_register_instance_action_change_callback(callback):\n _compute_plugin.invoke_plugin('register_instance_action_change_callback',\n callback=callback)",
"def on_register(cls):",
"def register(self, callback):\n self.callback = callback",
"def add_callback(cal... | [
"0.7074271",
"0.69212306",
"0.6914295",
"0.6678117",
"0.65792686",
"0.6406543",
"0.6396015",
"0.6325683",
"0.6325683",
"0.62563324",
"0.6227942",
"0.62053627",
"0.62053627",
"0.61932707",
"0.61932707",
"0.61932707",
"0.61629814",
"0.61220556",
"0.6121512",
"0.6076169",
"0.606... | 0.7680887 | 0 |
Register for instance delete notifications | def nfvi_register_instance_delete_callback(callback):
_compute_plugin.invoke_plugin('register_instance_delete_callback',
callback=callback) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def instance_deleted(sender, instance, **kwargs):\n try:\n if instance.is_registered and not instance.deregister(save=False):\n logger.warn(\"Could not unregister {0} on delete.\".format(\n sender\n ))\n except SNSException:\n # Avoid that invalid arn token ... | [
"0.76734793",
"0.68456256",
"0.68105817",
"0.6704218",
"0.6531352",
"0.64356196",
"0.64344245",
"0.6396667",
"0.6394052",
"0.63885456",
"0.6359043",
"0.63569456",
"0.6322837",
"0.6291785",
"0.6286276",
"0.6241265",
"0.6239672",
"0.62179923",
"0.6175801",
"0.6137316",
"0.61151... | 0.6672126 | 4 |
Notify compute host is enabled | def nfvi_notify_compute_host_enabled(host_uuid, host_name, host_personality,
callback):
cmd_id = _compute_plugin.invoke_plugin('notify_host_enabled',
host_uuid, host_name,
host_personality,
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def nfvi_notify_compute_host_disabled(host_uuid, host_name, host_personality,\n callback):\n cmd_id = _compute_plugin.invoke_plugin('notify_host_disabled',\n host_uuid, host_name,\n host_pers... | [
"0.6910246",
"0.63405925",
"0.6329132",
"0.6329132",
"0.6197454",
"0.6078591",
"0.5980807",
"0.5833863",
"0.5802485",
"0.57806736",
"0.5662218",
"0.5642115",
"0.558865",
"0.5550963",
"0.5544851",
"0.55175227",
"0.5497251",
"0.54892796",
"0.5441781",
"0.5439356",
"0.5438972",
... | 0.7718271 | 0 |
Notify compute host is disabled | def nfvi_notify_compute_host_disabled(host_uuid, host_name, host_personality,
callback):
cmd_id = _compute_plugin.invoke_plugin('notify_host_disabled',
host_uuid, host_name,
host_personality,
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def nfvi_notify_compute_host_enabled(host_uuid, host_name, host_personality,\n callback):\n cmd_id = _compute_plugin.invoke_plugin('notify_host_enabled',\n host_uuid, host_name,\n host_persona... | [
"0.6590806",
"0.65881276",
"0.6332107",
"0.6331109",
"0.6220316",
"0.620537",
"0.6117578",
"0.6104185",
"0.6052198",
"0.6050748",
"0.59577185",
"0.58573514",
"0.5832847",
"0.5814101",
"0.5814101",
"0.5747102",
"0.5736996",
"0.57186717",
"0.5702843",
"0.57011414",
"0.5687968",... | 0.7907137 | 0 |
Disable compute host services | def nfvi_disable_compute_host_services(host_uuid, host_name, host_personality,
callback):
cmd_id = _compute_plugin.invoke_plugin('disable_host_services',
host_uuid, host_name,
host_personalit... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def nfvi_notify_compute_host_disabled(host_uuid, host_name, host_personality,\n callback):\n cmd_id = _compute_plugin.invoke_plugin('notify_host_disabled',\n host_uuid, host_name,\n host_pers... | [
"0.7023965",
"0.6589337",
"0.65053415",
"0.6484101",
"0.61595577",
"0.6139749",
"0.5918607",
"0.5901828",
"0.58210856",
"0.5821036",
"0.5794583",
"0.57928306",
"0.57894987",
"0.5775211",
"0.5763872",
"0.573645",
"0.5679011",
"0.5662737",
"0.56420565",
"0.56060183",
"0.5554399... | 0.79389197 | 0 |
Enable compute host services | def nfvi_enable_compute_host_services(host_uuid, host_name, host_personality,
callback):
cmd_id = _compute_plugin.invoke_plugin('enable_host_services',
host_uuid, host_name,
host_personality,
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def nfvi_notify_compute_host_enabled(host_uuid, host_name, host_personality,\n callback):\n cmd_id = _compute_plugin.invoke_plugin('notify_host_enabled',\n host_uuid, host_name,\n host_persona... | [
"0.63588804",
"0.63349974",
"0.6177922",
"0.6154969",
"0.61493015",
"0.606561",
"0.6054695",
"0.6049442",
"0.60288525",
"0.6004999",
"0.59542507",
"0.58375365",
"0.58375365",
"0.5803038",
"0.57903194",
"0.5772306",
"0.56935096",
"0.567679",
"0.5676517",
"0.56693524",
"0.56370... | 0.78876954 | 0 |
Initialize the NFVI compute package | def nfvi_compute_initialize(config, pool):
global _compute_plugin
if _compute_plugin is None:
_compute_plugin = NFVIComputePlugin(config['namespace'], pool)
if _compute_plugin.ready_to_initialize(config['config_file']):
_compute_plugin.initialize(config['config_file'])
return True
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def initialize(self):\n self.initialize_edges()\n self.initialize_prob()\n self.initialize_total_input_dict()\n\n self.initialize_fpmusigv_dict()",
"def main():\n run_nutanix_vm_creation_module()",
"def __init__(self, nvim):\n self.nvim = nvim",
"def __init__(self,comput... | [
"0.6496471",
"0.6278192",
"0.6062997",
"0.59552294",
"0.59278333",
"0.5924738",
"0.5892015",
"0.57887715",
"0.5772586",
"0.5722492",
"0.57131547",
"0.5701967",
"0.56974494",
"0.5684051",
"0.56797975",
"0.5674536",
"0.56544673",
"0.56248695",
"0.56169355",
"0.5615452",
"0.5615... | 0.7209175 | 0 |
Finalize the NFVI compute package | def nfvi_compute_finalize():
if _compute_plugin is not None:
_compute_plugin.finalize() | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def finalize(self):\n self.classifier.finalize()",
"def finalize(self):\n pass\n #fftw2py.clean_fftw_solver(self.output_field.dimension)",
"def finalize(self):\n self.report('Finalizing optimization procedure.')\n with self.optimizer() as opt:\n optimal_process_out... | [
"0.6502741",
"0.650001",
"0.62286294",
"0.6211019",
"0.6211019",
"0.6211019",
"0.61800075",
"0.6171059",
"0.6159695",
"0.6159695",
"0.61318797",
"0.6069689",
"0.6061937",
"0.60552156",
"0.6054228",
"0.60331243",
"0.60229737",
"0.60056174",
"0.60056174",
"0.60056174",
"0.60056... | 0.8275187 | 0 |
Generate a string representation, mostly for debugging purposes | def __str__(self):
return "%s (%s) - atomic number: %d, atomic weight: %g amu" \
% (self.name, self.symbol, self.atomicNumber, self.atomicWeight) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def toString():",
"def __str__(self):\n astr = '[\\n name: [ ' + self.name + ' ]\\n'\n astr += ' variables: [ '\n for var, init in self.variables:\n astr += '(' + var + ' := ' + init + '), '\n astr = astr[:-2] + ' ]\\n assumptions: [ '\n for assumption in self.ass... | [
"0.7799535",
"0.7534602",
"0.75197923",
"0.74372685",
"0.74313945",
"0.7339175",
"0.73214805",
"0.7317239",
"0.7267127",
"0.72524047",
"0.7245168",
"0.7245168",
"0.7243733",
"0.7197564",
"0.71928585",
"0.7191292",
"0.7177097",
"0.7144848",
"0.7140431",
"0.7131467",
"0.7127033... | 0.0 | -1 |
Testing to provide mandatory parameters only. | def test_minimal_valid(self):
config = ShellConfig(script='echo "hello world"')
assert_that(config.script, equal_to('echo "hello world"'))
assert_that(config.title, equal_to(''))
assert_that(config.model, equal_to({}))
assert_that(config.env, equal_to({}))
assert_that(con... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def __mandatory_is_not_given(self):\n\n strTestName = 'Mandatory parameter must be given (incorrect)'\n RxCSObject = _RxCSobject()\n\n RxCSObject.paramAddMan('mandatory_parameter', 'Mandatory parameter')\n\n self.__parametersCheck_error(RxCSObject, ParameterMissingError, strTestName)",
... | [
"0.7554485",
"0.74413884",
"0.74272037",
"0.7360469",
"0.7131678",
"0.71256137",
"0.7105869",
"0.7097087",
"0.70953786",
"0.70849353",
"0.7079268",
"0.70749784",
"0.7000165",
"0.69736993",
"0.69327056",
"0.6923329",
"0.6904286",
"0.68939066",
"0.68729466",
"0.6848687",
"0.682... | 0.0 | -1 |
Testing to provide mandatory and all optional parameters. | def test_individual_valid(self, kwargs):
# defaults
final_kwargs = {'script': 'echo "hello world"', 'title': '', 'debug': False, 'strict': False,
'dry_run': False, 'item': None, 'env': {}, 'model': {}, 'variables': {}}
final_kwargs.update(kwargs)
config = ShellCo... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_checkParameters(self):\n self.failUnlessEqual(self.nice.opts['long'], \"Alpha\")\n self.failUnlessEqual(self.nice.opts['another'], \"Beta\")\n self.failUnlessEqual(self.nice.opts['longonly'], \"noshort\")\n self.failUnlessEqual(self.nice.opts['shortless'], \"Gamma\")",
"def c... | [
"0.71258616",
"0.68760175",
"0.68379354",
"0.6795169",
"0.6731811",
"0.6697062",
"0.6688189",
"0.6682522",
"0.6640285",
"0.66375905",
"0.6609301",
"0.6607212",
"0.6594101",
"0.657962",
"0.6576454",
"0.65662366",
"0.65466017",
"0.65358907",
"0.6519866",
"0.6510823",
"0.6504746... | 0.0 | -1 |
If we have multiple projects, will loop through the projects to find the one with the given story. returns None if not found | def find_project_for_story(story_id):
for project in Project.all():
story = project.load_story(story_id)
if story is not None:
return project
#Not found
print "No project found for story: #{}".format(story_id)
return None | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def find_project_for_story(story_id):\r\n\r\n for project in Project.all():\r\n story = project.load_story(story_id)\r\n if story is not None:\r\n return project\r\n\r\n #Not found\r\n print \"No project found for story: #{}\".format(story_id)\r\n return None",
"def get_proje... | [
"0.84241813",
"0.62560344",
"0.61722744",
"0.60507",
"0.59317017",
"0.5916581",
"0.59009284",
"0.587145",
"0.5809766",
"0.57527995",
"0.56877387",
"0.56099844",
"0.56028783",
"0.56005305",
"0.5553567",
"0.5518918",
"0.5457603",
"0.53568715",
"0.53509325",
"0.53243184",
"0.530... | 0.84125274 | 1 |
returns the first label if any from labels. Used for grouping | def first_label(self):
if self.labels:
return self.labels[0]
else:
return None | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def first_label(self):\r\n return self.labels.split(',')[0]",
"def label(tree):\n return tree[0]",
"def getLabel(labels):\r\n elems = {}\r\n for l in labels:\r\n if l not in elems.keys():\r\n elems[l] = 1\r\n else:\r\n elems[l] += 1\r\n counts = sorted(ele... | [
"0.8280834",
"0.68157196",
"0.6787128",
"0.67655355",
"0.67253506",
"0.6636867",
"0.6554082",
"0.65352005",
"0.65143234",
"0.6482284",
"0.64466333",
"0.64403844",
"0.64376044",
"0.64165425",
"0.6404469",
"0.6386726",
"0.6379",
"0.6357332",
"0.6351127",
"0.6299424",
"0.6292083... | 0.851758 | 0 |
instantiates a Story object from an elementTree node, build child notes and attachment lists | def from_json(cls, node):
story = Story()
story.story_id = _parse_int(node, 'id')
story.name = _parse_text(node, 'name')
story.owned_by = _parse_text(node, 'owned_by')
story.story_type = _parse_text(node, 'story_type')
story.state = _parse_text(node, 'current_state')
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def from_node(cls, node):\r\n\r\n story = Story()\r\n story.story_id = _parse_text(node, 'id')\r\n story.name = _parse_text(node, 'name')\r\n story.owned_by = _parse_text(node, 'owned_by')\r\n story.story_type = _parse_text(node, 'story_type')\r\n story.state = _parse_text... | [
"0.7573793",
"0.6829349",
"0.58085346",
"0.5662829",
"0.5408246",
"0.5368695",
"0.53291357",
"0.529218",
"0.5163592",
"0.5163557",
"0.51551956",
"0.5153943",
"0.51413214",
"0.51333845",
"0.51263046",
"0.5122783",
"0.5116713",
"0.5107789",
"0.5105426",
"0.5062073",
"0.5047572"... | 0.63884753 | 2 |
changes the estimate of a story | def assign_estimate(self, estimate):
return self.update(estimate=estimate) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def assign_estimate(self, estimate):\r\n update_story_url =\"https://www.pivotaltracker.com/services/v3/projects/{}/stories/{}?story[estimate]={}\".format(self.project_id, self.story_id, estimate)\r\n response = _perform_pivotal_put(update_story_url)",
"def estimate(self, estimate):\n\n self... | [
"0.7031372",
"0.6343698",
"0.6181432",
"0.61523265",
"0.61381894",
"0.61381894",
"0.61381894",
"0.6072239",
"0.6002296",
"0.59474117",
"0.58674514",
"0.5820868",
"0.57961833",
"0.579501",
"0.57798946",
"0.5774591",
"0.5730863",
"0.57292694",
"0.57292694",
"0.5592835",
"0.5579... | 0.63049126 | 2 |
changes the estimate of a story | def update(self, **payload):
update_story_url ="https://www.pivotaltracker.com/services/v5/projects/{}/stories/{}".format(self.project_id, self.story_id)
return _perform_pivotal_put(update_story_url, payload) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def assign_estimate(self, estimate):\r\n update_story_url =\"https://www.pivotaltracker.com/services/v3/projects/{}/stories/{}?story[estimate]={}\".format(self.project_id, self.story_id, estimate)\r\n response = _perform_pivotal_put(update_story_url)",
"def estimate(self, estimate):\n\n self... | [
"0.7031372",
"0.6343698",
"0.63049126",
"0.6181432",
"0.61523265",
"0.61381894",
"0.61381894",
"0.61381894",
"0.6072239",
"0.6002296",
"0.59474117",
"0.58674514",
"0.5820868",
"0.57961833",
"0.579501",
"0.57798946",
"0.5774591",
"0.5730863",
"0.57292694",
"0.57292694",
"0.559... | 0.0 | -1 |
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