### 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)

with dag_maker(session=session):
        @task_decorator
        def task1():
            return ["x"]
        @task_decorator
        def task2(arg1, arg2):
            ...
        task2.partial(arg1=1).expand(arg2=task1())
    run = dag_maker.create_dagrun()
    
    dec = run.task_instance_scheduling_decisions(session=session)
    assert [ti.task_id for ti in dec.schedulable_tis] == ["task1"]
    dec.schedulable_tis[0].run(session=session)
    
    dec = run.task_instance_scheduling_decisions(session=session)
    assert [ti.task_id for ti in dec.schedulable_tis] == ["task2"]
    ti = dec.schedulable_tis[0]
    unmapped = ti.task.unmap((ti.get_template_context(session), session))
    assert set(unmapped.op_kwargs) == {"arg1", "arg2"}
def test_mapped_decorator_converts_partial_kwargs(dag_maker, session):