class_docstr: Pokes DMS task until it is completed.
  
  .. seealso::
      For more information on how to use this sensor, take a look at the guide:
      :ref:`howto/sensor:DmsTaskCompletedSensor`
  
  :param replication_task_arn: AWS DMS replication task ARN
  :param aws_conn_id: The Airflow connection used for AWS credentials.
      If this is ``None`` or empty then the default boto3 behaviour is used. If
      running Airflow in a distributed manner and aws_conn_id is None or
      empty, then default boto3 configuration would be used (and must be
      maintained on each worker node).
  :param region_name: AWS region_name. If not specified then the default boto3 behaviour is used.
  :param verify: Whether or not to verify SSL certificates. See:
      https://boto3.amazonaws.com/v1/documentation/api/latest/reference/core/session.html
  :param botocore_config: Configuration dictionary (key-values) for botocore client. See:
      https://botocore.amazonaws.com/v1/documentation/api/latest/reference/config.html
code: def __init__(self, **kwargs):
      kwargs["target_statuses"] = ["stopped"]
      kwargs["termination_statuses"] = [
          "creating",
          "deleting",
          "failed",
          "failed-move",
          "modifying",
          "moving",
          "ready",
          "testing",
      ]
      super().__init__(**kwargs)
  
file_path: airflow/airflow/providers/amazon/aws/sensors/dms.py
imports: from __future__ import annotations
  from typing import TYPE_CHECKING, Iterable, Sequence
  from deprecated import deprecated
  from airflow.exceptions import AirflowException, AirflowProviderDeprecationWarning, AirflowSkipException
  from airflow.providers.amazon.aws.hooks.dms import DmsHook
  from airflow.providers.amazon.aws.sensors.base_aws import AwsBaseSensor
  from airflow.providers.amazon.aws.utils.mixins import aws_template_fields
label_desc: Use image node_id 1 to create a new DmsTaskCompletedSensor object from inherited base classes: DmsTaskBaseSensor with example: obj = DmsTaskCompletedSensor()