### Description

Replace the existing selects with multi-selects that allow you to filter multiple DAG run states and types at the same time, somewhat similar to my prototype:

![image](https://github.com/apache/airflow/assets/1842905/c4ec0793-1ccb-417d-989c-781997416f97)


### Use case/motivation

I'm not sure if it is just me, but sometimes I wish I was able to show multiple DAG run states, especially `running` and `failed`, at the same time. 
This would be especially helpful for busy DAGs on which I want to clear a few failed runs. Without the multi-select, if I switch from `failed` to `running` DAG runs, I need to orient myself again to find the run I just cleared (assuming there are lots of other running DAG runs). _With_ the multi-select, the DAG run I just cleared stays in the same spot and I can check the logs, while clearing some other failed runs.

I'm not sure we need a multi-select for DAG run types as well. I'd tend to say no, but maybe someone else has a use-case for that.

### Related issues

_No response_

### Are you willing to submit a PR?

- [X] 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)

with monkeypatch.context() as m:
        
        m.setattr("airflow.plugins_manager.global_operator_extra_links", [])
        m.setattr("airflow.plugins_manager.operator_extra_links", [])
        m.setattr("airflow.plugins_manager.registered_operator_link_classes", {})
        with dag_maker(dag_id=DAG_ID, serialized=True, session=session):
            EmptyOperator(task_id="task1")
            @task_group
            def mapped_task_group(arg1):
                return MockOperator(task_id="subtask2", arg1=arg1)
            mapped_task_group.expand(arg1=["a", "b", "c"])
            with TaskGroup(group_id="group"):
                MockOperator.partial(task_id="mapped").expand(arg1=["a", "b", "c", "d"])
        m.setattr(app, "dag_bag", dag_maker.dagbag)
        yield dag_maker
@pytest.fixture
def dag_with_runs(dag_without_runs):
    date = dag_without_runs.dag.start_date
    run_1 = dag_without_runs.create_dagrun(
        run_id="run_1", state=DagRunState.SUCCESS, run_type=DagRunType.SCHEDULED, execution_date=date
    )
    run_2 = dag_without_runs.create_dagrun(
        run_id="run_2",
        run_type=DagRunType.SCHEDULED,
        execution_date=dag_without_runs.dag.next_dagrun_info(date).logical_date,
    )
    yield run_1, run_2
def test_no_runs(admin_client, dag_without_runs):