https://github.com/apache/airflow/blob/main/airflow/cli/commands/task_command.py#L145
"""Returns whether a task is in UP_FOR_RETRY state and its retry interval has elapsed."""
        
        return self.state == TaskInstanceState.UP_FOR_RETRY and not self.ready_for_retry()
    @provide_session
    def are_dependents_done(self, session: Session = NEW_SESSION) -> bool:
        """
        Check whether the immediate dependents of this task instance have succeeded or have been skipped.
        This is meant to be used by wait_for_downstream.
        This is useful when you do not want to start processing the next
        schedule of a task until the dependents are done. For instance,
        if the task DROPs and recreates a table.
        :param session: SQLAlchemy ORM Session
        """
        task = self.task
        if not task.downstream_task_ids:
            return True
        ti = session.query(func.count(TaskInstance.task_id)).filter(
            TaskInstance.dag_id == self.dag_id,
            TaskInstance.task_id.in_(task.downstream_task_ids),
            TaskInstance.run_id == self.run_id,
            TaskInstance.state.in_((TaskInstanceState.SKIPPED, TaskInstanceState.SUCCESS)),
        )
        count = ti[0][0]
        return count == len(task.downstream_task_ids)
    @provide_session
    def get_previous_dagrun(