### Body

Use `AirflowProviderDeprecationWarning` as warning source in EMR operators and change stacklevel to 2:
https://github.com/apache/airflow/blob/05036e619c0c6dafded1451daac4e07e20aee33f/airflow/providers/amazon/aws/operators/emr.py#L380-L384
https://github.com/apache/airflow/blob/05036e619c0c6dafded1451daac4e07e20aee33f/airflow/providers/amazon/aws/operators/emr.py#L373-L377
https://github.com/apache/airflow/blob/05036e619c0c6dafded1451daac4e07e20aee33f/airflow/providers/amazon/aws/operators/emr.py#L264-L268
https://github.com/apache/airflow/blob/05036e619c0c6dafded1451daac4e07e20aee33f/airflow/providers/amazon/aws/operators/emr.py#L257-L261

### Committer

- [X] I acknowledge that I am a maintainer/committer of the Apache Airflow project.
"MaxAttempts": self.waiter_max_attempts,
                    },
                )
            else:
                self.log.info("no running jobs found with application ID %s", self.application_id)
        self.hook.conn.stop_application(applicationId=self.application_id)
        if self.deferrable:
            self.defer(
                trigger=EmrServerlessStopApplicationTrigger(
                    application_id=self.application_id,
                    aws_conn_id=self.aws_conn_id,
                    waiter_delay=self.waiter_delay,
                    waiter_max_attempts=self.waiter_max_attempts,
                ),
                timeout=timedelta(seconds=self.waiter_max_attempts * self.waiter_delay),
                method_name="execute_complete",
            )
        if self.wait_for_completion:
            waiter = self.hook.get_waiter("serverless_app_stopped")
            wait(
                waiter=waiter,
                waiter_max_attempts=self.waiter_max_attempts,
                waiter_delay=self.waiter_delay,
                args={"applicationId": self.application_id},
                failure_message="Error stopping application",
                status_message="Serverless Application status is",
                status_args=["application.state", "application.stateDetails"],
            )
            self.log.info("EMR serverless application %s stopped successfully", self.application_id)
    def stop_application(self, context: Context, event: dict[str, Any] | None = None) -> None: