### 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)

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from __future__ import annotations
from typing import TYPE_CHECKING
import pendulum
import pytest
from dateutil.tz import UTC
from airflow.datasets import Dataset
from airflow.decorators import task_group
from airflow.lineage.entities import File
from airflow.models import DagBag
from airflow.models.dataset import DatasetDagRunQueue, DatasetEvent, DatasetModel
from airflow.operators.empty import EmptyOperator
from airflow.utils import timezone
from airflow.utils.state import DagRunState, TaskInstanceState
from airflow.utils.task_group import TaskGroup
from airflow.utils.types import DagRunType
from airflow.www.views import dag_to_grid
from tests.test_utils.asserts import assert_queries_count
from tests.test_utils.db import clear_db_datasets, clear_db_runs
from tests.test_utils.mock_operators import MockOperator
pytestmark = pytest.mark.db_test
if TYPE_CHECKING:
    from airflow.models.dagrun import DagRun
DAG_ID = "test"
@pytest.fixture(autouse=True, scope="module")
def examples_dag_bag():