**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)
```

external_dag_id=f"dag_{n-1}",
                    external_task_id=f"task_b_{n-1}",
                )
                task_b = ExternalTaskMarker(
                    task_id=f"task_b_{n}",
                    external_dag_id=f"dag_{n+1}",
                    external_task_id=f"task_a_{n+1}",
                    recursion_depth=3,
                )
                task_a >> task_b
        
        with DAG(f"dag_{depth}", start_date=DEFAULT_DATE, schedule=None) as dag:
            dags.append(dag)
            task_a = ExternalTaskSensor(
                task_id=f"task_a_{depth}",
                external_dag_id=f"dag_{depth-1}",
                external_task_id=f"task_b_{depth-1}",
            )
            task_b = ExternalTaskMarker(
                task_id=f"task_b_{depth}",
                external_dag_id="dag_0",
                external_task_id="task_a_0",
                recursion_depth=2,
            )
            task_a >> task_b
        for dag in dags:
            dag_bag.bag_dag(dag=dag, root_dag=dag)
        return dag_bag
    return _factory
def test_external_task_marker_cyclic_deep(dag_bag_cyclic):