### 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)

"""Tests that @task will only instantiate if
        the python_callable argument is callable."""
        not_callable = {}
        with pytest.raises(TypeError):
            task_decorator(not_callable)
    @pytest.mark.parametrize(
        "resolve",
        [
            pytest.param(eval, id="eval"),
            pytest.param(lambda t: t, id="stringify"),
        ],
    )
    @pytest.mark.parametrize(
        "annotation",
        [
            "dict",
            pytest.param(
                "dict[str, int]",
                marks=pytest.mark.skipif(
                    sys.version_info < (3, 9),
                    reason="PEP 585 is implemented in Python 3.9",
                ),
            ),
            "Dict",
            "Dict[str, int]",
        ],
    )
    def test_infer_multiple_outputs_using_dict_typing(self, resolve, annotation):