### Apache Airflow version

2.6.3

### What happened

When the condition in ```ShortCircuitOperator``` is truthy it is returned at
https://github.com/apache/airflow/blob/a2ae2265ce960d65bc3c4bf805ee77954a1f895c/airflow/operators/python.py#L252
but when it is falsy, the function falls through without returning anything.

If ```multiple_outputs``` is set ```true``` (with for example ```@task.short_circuit(multiple_outputs=True```) ```_handle_output``` of
```DecoratedOperator``` at
https://github.com/apache/airflow/blob/a2ae2265ce960d65bc3c4bf805ee77954a1f895c/airflow/decorators/base.py#L242
does not test for None and raises at
https://github.com/apache/airflow/blob/a2ae2265ce960d65bc3c4bf805ee77954a1f895c/airflow/decorators/base.py#L255
This makes it impossible to pass a falsy value (i.e. an empty dictionary) so ```ShortCircuitOperator``` is unusable with ```multiple_outputs=true```


### What you think should happen instead

Probably the ```xcom_push``` should not be attempted with ```None```, or possibly the condition should be returned by ```ShortCircuitOperator``` even if it is falsy

### How to reproduce

```python
@task.short_circuit(multiple_outputs=True)
def test():
  return {}
```

### Operating System

Ubuntu 22.04.2 LTS

### Versions of Apache Airflow Providers

_No response_

### Deployment

Official Apache Airflow Helm Chart

### Deployment details

_No response_

### Anything else

_No response_

### 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)

dr = self.create_dag_run()
        branch_op.run(start_date=self.default_date, end_date=self.default_date)
        for task in branches:
            task.run(start_date=self.default_date, end_date=self.default_date)
        expected_states = {
            self.task_id: State.SUCCESS,
            "branch_1": State.SUCCESS,
            "branch_2": State.SKIPPED,
        }
        self.assert_expected_task_states(dr, expected_states)
        
        tis = dr.get_task_instances()
        children_tis = [ti for ti in tis if ti.task_id in branch_op.get_direct_relative_ids()]
        with create_session() as session:
            clear_task_instances(children_tis, session=session, dag=branch_op.dag)
        
        for task in branches:
            task.run(start_date=self.default_date, end_date=self.default_date)
        
        self.assert_expected_task_states(dr, expected_states)
    def test_raise_exception_on_no_accepted_type_return(self):
        ti = self.create_ti(lambda: 5)
        with pytest.raises(AirflowException, match="must be either None, a task ID, or an Iterable of IDs"):
            ti.run()
    def test_raise_exception_on_invalid_task_id(self):
        ti = self.create_ti(lambda: "some_task_id")
        with pytest.raises(AirflowException, match="Invalid tasks found: {'some_task_id'}"):
            ti.run()
    @pytest.mark.parametrize(
        "choice,expected_states",