### 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)

s2 = PythonOperator(task_id="s2", python_callable=print).as_setup()
            op1 = ShortCircuitOperator(
                task_id="op1",
                python_callable=lambda: False,
            )
            op1.log.setLevel(level)
            op2 = PythonOperator(task_id="op2", python_callable=print)
            op3 = PythonOperator(task_id="op3", python_callable=print)
            t1 = PythonOperator(task_id="t1", python_callable=print).as_teardown(setups=s1)
            t2 = PythonOperator(task_id="t2", python_callable=print).as_teardown(setups=s2)
            s1 >> op1 >> op3 >> t1
            s2 >> op2 >> t2
            
            
            op1 >> t2
            op1.skip = MagicMock()
            dagrun = dag_maker.create_dagrun()
            tis = dagrun.get_task_instances()
            ti: TaskInstance = [x for x in tis if x.task_id == "op1"][0]
            ti._run_raw_task()
            
            actual_kwargs = op1.skip.call_args.kwargs
            actual_skipped = actual_kwargs["tasks"]
            if level <= logging.DEBUG:
                assert isinstance(actual_skipped, list)
            else:
                assert isinstance(actual_skipped, Generator)
            assert set(actual_skipped) == {op3}
            assert actual_kwargs["execution_date"] == dagrun.logical_date