### 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)

"""Test calling decorated function 21 times in a DAG"""
        @task_decorator
        def __do_run():
            return 4
        with self.dag:
            __do_run()
            for _ in range(20):
                __do_run()
        assert self.dag.task_ids[-1] == "__do_run__20"
    def test_multiple_outputs(self):
        """Tests pushing multiple outputs as a dictionary"""
        @task_decorator(multiple_outputs=True)
        def return_dict(number: int):
            return {"number": number + 1, "43": 43}
        test_number = 10
        with self.dag:
            ret = return_dict(test_number)
        dr = self.dag.create_dagrun(
            run_id=DagRunType.MANUAL,
            start_date=timezone.utcnow(),
            execution_date=DEFAULT_DATE,
            state=State.RUNNING,
        )
        ret.operator.run(start_date=DEFAULT_DATE, end_date=DEFAULT_DATE)
        ti = dr.get_task_instances()[0]
        assert ti.xcom_pull(key="number") == test_number + 1
        assert ti.xcom_pull(key="43") == 43
        assert ti.xcom_pull() == {"number": test_number + 1, "43": 43}
    def test_default_args(self):