class_docstr: Pulls tasks count from a cloud task queue; waits for queue to return task count as 0.
  
  :param project_id: the Google Cloud project ID for the subscription (templated)
  :param gcp_conn_id: The connection ID to use connecting to Google Cloud.
  :param queue_name: The queue name to for which task empty sensing is required.
  :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).
code: def __init__(
      self,
      *,
      location: str,
      project_id: str | None = None,
      queue_name: str | None = None,
      gcp_conn_id: str = "google_cloud_default",
      impersonation_chain: str | Sequence[str] | None = None,
      **kwargs,
  ) -> None:
      super().__init__(**kwargs)
      self.location = location
      self.project_id = project_id
      self.queue_name = queue_name
      self.gcp_conn_id = gcp_conn_id
      self.impersonation_chain = impersonation_chain
  
file_path: airflow/airflow/providers/google/cloud/sensors/tasks.py
imports: from __future__ import annotations
  from typing import TYPE_CHECKING, Sequence
  from airflow.providers.google.cloud.hooks.tasks import CloudTasksHook
  from airflow.sensors.base import BaseSensorOperator
label_desc: Use image node_id 1 to create a new TaskQueueEmptySensor object from inherited base classes: BaseSensorOperator with example: obj = TaskQueueEmptySensor()