**Apache Airflow version**: 2.x including main

**What happened**:

I am using an `execution_date_fn` in an `ExternalTaskSensor` that also sets `allowed_states=['success']` and `failed_states=['failed']`. When one of the N upstream tasks fails, the sensor will hang forever in the `poke` method because there is a bug in checking for failed_states.

**What you expected to happen**:

I would expect the `ExternalTaskSensor` to fail.

I think this is due to a bug in the `poke` method where it should check if `count_failed > 0` as opposed to checking `count_failed == len(dttm_filter)`. I've created a fix locally that works for my case and have submitted a PR #16205 for it as reference.

**How to reproduce it**:

Create any `ExternalTaskSensor` that checks for `failed_states` and have one of the external DAGs tasks fail while others succeed.

E.g.
```
ExternalTaskSensor(
        task_id='check_external_dag',                                                     
        external_dag_id='external_dag',                                                               
        external_task_id=None,                              
        execution_date_fn=dependent_date_fn,
        allowed_states=['success'],
        failed_states=['failed'],                                                                     
        check_existence=True)
```

+------+     +------+                 +------+
    """
    dag_bag = DagBag(dag_folder=DEV_NULL, include_examples=False)
    with DAG("head_tail", start_date=DEFAULT_DATE, schedule="@daily") as dag:
        head = ExternalTaskSensor(
            task_id="head",
            external_dag_id=dag.dag_id,
            external_task_id="tail",
            execution_delta=timedelta(days=1),
            mode="reschedule",
        )
        body = EmptyOperator(task_id="body")
        tail = ExternalTaskMarker(
            task_id="tail",
            external_dag_id=dag.dag_id,
            external_task_id=head.task_id,
            execution_date="{{ macros.ds_add(ds, 1) }}",
        )
        head >> body >> tail
    dag_bag.bag_dag(dag=dag, root_dag=dag)
    return dag_bag
@provide_session
def test_clear_overlapping_external_task_marker(dag_bag_head_tail, session):
    dag: DAG = dag_bag_head_tail.get_dag("head_tail")
    
    for delta in range(0, 10):
        execution_date = DEFAULT_DATE + timedelta(days=delta)
        dagrun = DagRun(
            dag_id=dag.dag_id,
            state=DagRunState.SUCCESS,