### Apache Airflow version

Other Airflow 2 version (please specify below)

### What happened

If you have an `ExternalTaskSensor` that uses `external_task_group_id` to wait on a `TaskGroup`, and if that `TaskGroup` contains any [mapped tasks](https://airflow.apache.org/docs/apache-airflow/2.3.0/concepts/dynamic-task-mapping.html), the sensor will be stuck waiting forever even after the task group is successful.

### What you think should happen instead

`ExternalTaskSensor` should be able to wait on `TaskGroup`s, regardless of whether or not that group contains mapped tasks.

### How to reproduce

```
#!/usr/bin/env python3
import datetime
import logging

from airflow.decorators import dag, task
from airflow.operators.empty import EmptyOperator
from airflow.sensors.external_task import ExternalTaskSensor
from airflow.utils.task_group import TaskGroup


logger = logging.getLogger(__name__)


@dag(
    schedule_interval='@daily',
    start_date=datetime.datetime(2023, 4, 17),
)
def task_groups():
    with TaskGroup(group_id='group'):
        EmptyOperator(task_id='operator1') >> EmptyOperator(task_id='operator2')

    with TaskGroup(group_id='mapped_tasks'):
        @task
        def get_tasks():
            return [1, 2, 3]

        @task
        def process(x):
            print(x)

        process.expand(x=get_tasks())

    ExternalTaskSensor(
        task_id='wait_for_normal_task_group',
        external_dag_id='task_groups',
        external_task_group_id='group',
        poke_interval=3,
        check_existence=True,
    )
    ExternalTaskSensor(
        task_id='wait_for_mapped_task_group',
        external_dag_id='task_groups',
        external_task_group_id='mapped_tasks',
        poke_interval=3,
        check_existence=True,
    )


task_groups()
```

### Operating System

CentOS Stream 8

### Versions of Apache Airflow Providers

N/A

### Deployment

Other

### Deployment details

Standalone

### Anything else

I think the bug is [here](https://github.com/apache/airflow/blob/731ef3d692fc7472e245f39f3e3e42c2360cb769/airflow/sensors/external_task.py#L364):
```
        elif self.external_task_group_id:
            external_task_group_task_ids = self.get_external_task_group_task_ids(session)
            count = (
                self._count_query(TI, session, states, dttm_filter)
                .filter(TI.task_id.in_(external_task_group_task_ids))
                .scalar()
            ) / len(external_task_group_task_ids)
```
If the group contains mapped tasks, `external_task_group_ids` only contains a list of task names (not expanded to include mapped task indices), but the `count` will count all mapped instances.  This returns a larger value than the calling function expects to receive when it checks for `count_allowed == len(dttm_filter)`, so `poke` always returns `False`.

### Are you willing to submit PR?

- [ ] Yes I am willing to submit a PR!

### Code of Conduct

- [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)

"""
    Use this operator to indicate that a task on a different DAG depends on this task.
    When this task is cleared with "Recursive" selected, Airflow will clear the task on
    the other DAG and its downstream tasks recursively. Transitive dependencies are followed
    until the recursion_depth is reached.
    :param external_dag_id: The dag_id that contains the dependent task that needs to be cleared.
    :param external_task_id: The task_id of the dependent task that needs to be cleared.
    :param execution_date: The logical date of the dependent task execution that needs to be cleared.
    :param recursion_depth: The maximum level of transitive dependencies allowed. Default is 10.
        This is mostly used for preventing cyclic dependencies. It is fine to increase
        this number if necessary. However, too many levels of transitive dependencies will make
        it slower to clear tasks in the web UI.
    """
    template_fields = ["external_dag_id", "external_task_id", "execution_date"]
    ui_color = "#19647e"
    operator_extra_links = [ExternalDagLink()]
    
    __serialized_fields: frozenset[str] | None = None
    def __init__(