### 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)

"""Ensure all template context fields are listed in the operator.
        This exists mainly so when a field is added to the context, we remember to
        also add it to PythonVirtualenvOperator.
        """
        
        
        
        intentionally_excluded_context_keys = [
            "task_instance",
            "ti",
            "var",  
            "conn",  
        ]
        ti = create_task_instance(dag_id=self.dag_id, task_id=self.task_id, schedule=None)
        context = ti.get_template_context()
        declared_keys = {
            *PythonVirtualenvOperator.BASE_SERIALIZABLE_CONTEXT_KEYS,
            *PythonVirtualenvOperator.PENDULUM_SERIALIZABLE_CONTEXT_KEYS,
            *PythonVirtualenvOperator.AIRFLOW_SERIALIZABLE_CONTEXT_KEYS,
            *intentionally_excluded_context_keys,
        }
        assert set(context) == declared_keys
    @pytest.mark.parametrize(
        "extra_kwargs, actual_exit_code, expected_state",
        [
            (None, 99, TaskInstanceState.FAILED),
            ({"skip_on_exit_code": 100}, 100, TaskInstanceState.SKIPPED),
            ({"skip_on_exit_code": [100]}, 100, TaskInstanceState.SKIPPED),