**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)
```

"""
    Create a DagBag containing two DAGs, linked by multiple ExternalTaskMarker.
    """
    dag_bag = DagBag(dag_folder=DEV_NULL, include_examples=False)
    daily_dag = DAG("daily_dag", start_date=DEFAULT_DATE, schedule="@daily")
    agg_dag = DAG("agg_dag", start_date=DEFAULT_DATE, schedule="@daily")
    dag_bag.bag_dag(dag=daily_dag, root_dag=daily_dag)
    dag_bag.bag_dag(dag=agg_dag, root_dag=agg_dag)
    daily_task = EmptyOperator(task_id="daily_tas", dag=daily_dag)
    begin = EmptyOperator(task_id="begin", dag=agg_dag)
    for i in range(8):
        task = ExternalTaskMarker(
            task_id=f"{daily_task.task_id}_{i}",
            external_dag_id=daily_dag.dag_id,
            external_task_id=daily_task.task_id,
            execution_date="{{ macros.ds_add(ds, -1 * %s) }}" % i,
            dag=agg_dag,
        )
        begin >> task
    yield dag_bag
def test_clear_multiple_external_task_marker(dag_bag_multiple):