class_docstr: Checks for the existence of a table in Google Big Query.
  
  This class is deprecated and will be removed in a future release.
  
  Please use :class:`airflow.providers.google.cloud.sensors.bigquery.BigQueryTableExistenceSensor`
  and set *deferrable* attribute to *True* instead.
  
  :param project_id: The Google cloud project in which to look for the table.
     The connection supplied to the hook must provide
     access to the specified project.
  :param dataset_id: The name of the dataset in which to look for the table.
     storage bucket.
  :param table_id: The name of the table to check the existence of.
  :param gcp_conn_id: The connection ID used to connect to Google Cloud.
  :param bigquery_conn_id: (Deprecated) The connection ID used to connect to Google Cloud.
     This parameter has been deprecated. You should pass the gcp_conn_id parameter instead.
  :param impersonation_chain: Optional service account to impersonate using short-term
     credentials, or chained list of accounts required to get the access_token
     of the last account in the list, which will be impersonated in the request.
     If set as a string, the account must grant the originating account
     the Service Account Token Creator IAM role.
     If set as a sequence, the identities from the list must grant
     Service Account Token Creator IAM role to the directly preceding identity, with first
     account from the list granting this role to the originating account (templated).
  :param polling_interval: The interval in seconds to wait between checks table existence.
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code: def __init__(self, **kwargs):
      warnings.warn(
          "Class `BigQueryTableExistenceAsyncSensor` is deprecated and "
          "will be removed in a future release. "
          "Please use `BigQueryTableExistenceSensor` and "
          "set `deferrable` attribute to `True` instead",
          AirflowProviderDeprecationWarning,
      )
      super().__init__(deferrable=True, **kwargs)
  
imports: from __future__ import annotations
  import warnings
  from datetime import timedelta
  from typing import TYPE_CHECKING, Any, Sequence
  from airflow.configuration import conf
  from airflow.exceptions import AirflowException, AirflowProviderDeprecationWarning, AirflowSkipException
  from airflow.providers.google.cloud.hooks.bigquery import BigQueryHook
  from airflow.providers.google.cloud.triggers.bigquery import BigQueryTableExistenceTrigger, BigQueryTablePartitionExistenceTrigger
  from airflow.sensors.base import BaseSensorOperator
label_desc: Use image node_id 1 to create a new BigQueryTableExistenceAsyncSensor object from inherited base classes: BigQueryTableExistenceSensor with example: obj = BigQueryTableExistenceAsyncSensor()