https://github.com/apache/airflow/blob/main/airflow/cli/commands/task_command.py#L145
for down_task_id in task.downstream_task_ids:
                down_task = dag.get_task(down_task_id)
                if not down_task.is_teardown or down_task.on_failure_fail_dagrun:
                    
                    return False
            
            
            return not task.is_teardown or task.on_failure_fail_dagrun
        leaf_task_ids = {x.task_id for x in dag.tasks if is_effective_leaf(x)}
        if not leaf_task_ids:
            
            leaf_task_ids = {x.task_id for x in dag.tasks if not x.downstream_list}
        leaf_tis = {ti for ti in tis if ti.task_id in leaf_task_ids if ti.state != TaskInstanceState.REMOVED}
        return leaf_tis
    @provide_session
    def update_state(
        self, session: Session = NEW_SESSION, execute_callbacks: bool = True
    ) -> tuple[list[TI], DagCallbackRequest | None]:
        """
        Determine the overall state of the DagRun based on the state of its TaskInstances.
        :param session: Sqlalchemy ORM Session
        :param execute_callbacks: Should dag callbacks (success/failure, SLA etc.) be invoked
            directly (default: true) or recorded as a pending request in the ``returned_callback`` property
        :return: Tuple containing tis that can be scheduled in the current loop & `returned_callback` that
            needs to be executed
        """
        
        callback: DagCallbackRequest | None = None
        class _UnfinishedStates(NamedTuple):