### 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 print_info(m1: str, m2: str, run_id: str = "") -> None:
        print(f"{run_id}: {m1} {m2}")
    @task_decorator
    def print_everything(**kwargs) -> None:
        print(kwargs)
    with DAG("test_mapped_decorator", start_date=DEFAULT_DATE):
        t0 = print_info.expand(m1=["a", "b"], m2={"foo": "bar"})
        t1 = print_info.partial(m1="hi").expand(m2=[1, 2, 3])
        t2 = print_everything.partial(whatever="123").expand(any_key=[1, 2], works=t1)
    assert isinstance(t2, XComArg)
    assert isinstance(t2.operator, DecoratedMappedOperator)
    assert t2.operator.task_id == "print_everything"
    assert t2.operator.op_kwargs_expand_input == DictOfListsExpandInput({"any_key": [1, 2], "works": t1})
    assert t0.operator.task_id == "print_info"
    assert t1.operator.task_id == "print_info__1"
def test_mapped_decorator_invalid_args() -> None:
    @task_decorator
    def double(number: int):
        return number * 2
    literal = [1, 2, 3]
    with pytest.raises(TypeError, match="arguments 'other', 'b'"):
        double.partial(other=[1], b=["a"])
    with pytest.raises(TypeError, match="argument 'other'"):
        double.expand(number=literal, other=[1])
    with pytest.raises(ValueError, match="argument 'number'"):
        double.expand(number=1)  
def test_partial_mapped_decorator() -> None: