### 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)

@task_decorator
    def product(number: int, multiple: int):
        return number * multiple
    literal = [1, 2, 3]
    with DAG("test_dag", start_date=DEFAULT_DATE) as dag:
        quadrupled = product.partial(multiple=3).expand(number=literal)
        doubled = product.partial(multiple=2).expand(number=literal)
        trippled = product.partial(multiple=3).expand(number=literal)
        product.partial(multiple=2)  
    assert isinstance(doubled, PlainXComArg)
    assert isinstance(trippled, PlainXComArg)
    assert isinstance(quadrupled, PlainXComArg)
    assert dag.task_dict == {
        "product": quadrupled.operator,
        "product__1": doubled.operator,
        "product__2": trippled.operator,
    }
    assert isinstance(doubled.operator, DecoratedMappedOperator)
    assert doubled.operator.op_kwargs_expand_input == DictOfListsExpandInput({"number": literal})
    assert doubled.operator.partial_kwargs["op_kwargs"] == {"multiple": 2}
    assert isinstance(trippled.operator, DecoratedMappedOperator)  
    assert trippled.operator.partial_kwargs["op_kwargs"] == {"multiple": 3}
    assert doubled.operator is not trippled.operator
def test_mapped_decorator_unmap_merge_op_kwargs(dag_maker, session):