### Apache Airflow version

main (development)

### What happened

When creating a DAG with Task Groups and a Mapped Operator, if the Task Group is passed as argument to Mapped Operator's `partial` method it is ignored and the operator is not added to the group.

### What you think should happen instead

The Mapped Operator should be added to the Task Group passed as an argument.

### How to reproduce

Create a DAG with a source code like the following one

```python
from airflow import DAG
from airflow.operators.bash import BashOperator
from airflow.operators.empty import EmptyOperator
from airflow.utils import timezone
from airflow.utils.task_group import TaskGroup


with DAG("dag", start_date=timezone.datetime(2016, 1, 1)) as dag:
    start = EmptyOperator(task_id="start")
    finish = EmptyOperator(task_id="finish")

    group = TaskGroup("test-group")
    commands = ["echo a", "echo b", "echo c"]
    mapped = BashOperator.partial(task_id="task_2", task_group=group).expand(bash_command=commands)

    start >> group >> finish

# assert mapped.task_group == group

```

### Operating System

macOS 13.2.1 (22D68)

### Versions of Apache Airflow Providers

_No response_

### Deployment

Other

### Deployment details

_No response_

### Anything else

_No response_

### Are you willing to submit 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)

def __init__(self, arg1, **kwargs):
            super().__init__(arg1=arg1, **kwargs)
        def execute(self, context):
            return self.arg1
    class ConsumeXcomOperator(PushXcomOperator):
        def execute(self, context):
            assert {i for i in self.arg1} == {1, 2, 3}
    with dag_maker("test_all_xcomargs_from_mapped_tasks_are_consumable"):
        op1 = PushXcomOperator.partial(task_id="op1").expand(arg1=[1, 2, 3])
        ConsumeXcomOperator(task_id="op2", arg1=op1.output)
    dr = dag_maker.create_dagrun()
    tis = dr.get_task_instances(session=session)
    for ti in tis:
        ti.run()