### 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 PythonOperator will only instantiate if the python_callable argument is callable."""
        with pytest.raises(AirflowException, match="`python_callable` param must be callable"):
            PythonOperator(python_callable=not_callable, task_id="python_operator")
    def test_python_callable_arguments_are_templatized(self):
        """Test PythonOperator op_args are templatized"""
        
        
        Named = namedtuple("Named", ["var1", "var2"])
        named_tuple = Named("{{ ds }}", "unchanged")
        task = self.render_templates(
            lambda: 0,
            op_args=[4, date(2019, 1, 1), "dag {{dag.dag_id}} ran on {{ds}}.", named_tuple],
        )
        rendered_op_args = task.op_args
        assert len(rendered_op_args) == 4
        assert rendered_op_args[0] == 4
        assert rendered_op_args[1] == date(2019, 1, 1)
        assert rendered_op_args[2] == f"dag {self.dag_id} ran on {self.ds_templated}."
        assert rendered_op_args[3] == Named(self.ds_templated, "unchanged")
    def test_python_callable_keyword_arguments_are_templatized(self):
        """Test PythonOperator op_kwargs are templatized"""
        task = self.render_templates(
            lambda: 0,
            op_kwargs={
                "an_int": 4,
                "a_date": date(2019, 1, 1),