### 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)

"run_id": task_instance.run_id,
                        "state": task_instance.state,
                        "queued_dttm": task_instance.queued_dttm,
                        "start_date": task_instance.start_date,
                        "end_date": task_instance.end_date,
                        "try_number": wwwutils.get_try_count(task_instance._try_number, task_instance.state),
                        "note": task_instance.note,
                    }
                    for task_instance in grouped_tis[item.task_id]
                ]
            setup_teardown_type = {}
            if item.is_setup is True:
                setup_teardown_type["setupTeardownType"] = "setup"
            elif item.is_teardown is True:
                setup_teardown_type["setupTeardownType"] = "teardown"
            return {
                "id": item.task_id,
                "instances": instances,
                "label": item.label,
                "extra_links": item.extra_links,
                "is_mapped": item_is_mapped,
                "has_outlet_datasets": any(isinstance(i, Dataset) for i in (item.outlets or [])),
                "operator": item.operator_name,
                "trigger_rule": item.trigger_rule,
                **setup_teardown_type,
            }
        
        task_group = item
        children = [task_group_to_grid(child) for child in get_task_group_children_getter()(item)]
        def get_summary(dag_run: DagRun):