### 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)

if self.ignore_downstream_trigger_rules is True:
                tasks = context["task"].get_flat_relatives(upstream=False)
            else:
                tasks = context["task"].get_direct_relatives(upstream=False)
            for t in tasks:
                if not t.is_teardown:
                    yield t
        to_skip = get_tasks_to_skip()
        
        if self.log.getEffectiveLevel() <= logging.DEBUG:
            self.log.debug("Downstream task IDs %s", to_skip := list(get_tasks_to_skip()))
        self.log.info("Skipping downstream tasks")
        self.skip(
            dag_run=dag_run,
            execution_date=cast("DateTime", dag_run.execution_date),
            tasks=to_skip,
            map_index=context["ti"].map_index,
        )
        self.log.info("Done.")
class _BasePythonVirtualenvOperator(PythonOperator, metaclass=ABCMeta):
    BASE_SERIALIZABLE_CONTEXT_KEYS = {
        "ds",
        "ds_nodash",
        "expanded_ti_count",
        "inlets",