### 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)

"""Default arguments for specific Operator."""
        return kwargs
    def create_dag_run(self) -> DagRun:
        return self.dag.create_dagrun(
            state=DagRunState.RUNNING,
            start_date=self.dag_maker.start_date,
            session=self.dag_maker.session,
            execution_date=self.default_date,
            run_type=DagRunType.MANUAL,
        )
    def create_ti(self, fn, **kwargs) -> TI:
        """Create TaskInstance for class defined Operator."""
        return self.ti_maker(
            self.opcls,
            python_callable=fn,
            **self.default_kwargs(**kwargs),
            dag_id=self.dag_id,
            task_id=self.task_id,
            execution_date=self.default_date,
        )
    def run_as_operator(self, fn, **kwargs):
        """Run task by direct call ``run`` method."""
        with self.dag:
            task = self.opcls(task_id=self.task_id, python_callable=fn, **self.default_kwargs(**kwargs))
        task.run(start_date=self.default_date, end_date=self.default_date)
        return task
    def run_as_task(self, fn, return_ti=False, **kwargs):