### 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)

"""
            Print Hello world
            """
            print("Hello world")
        with self.dag:
            for i in range(3):
                hello.override(pool="my_pool", priority_weight=i)()
        weights = []
        for task in self.dag.tasks:
            assert task.pool == "my_pool"
            weights.append(task.priority_weight)
        assert weights == [0, 1, 2]
    def test_python_callable_args_work_as_well_as_baseoperator_args(self):
        """Tests that when looping that user provided pool, priority_weight etc is used"""
        @task_decorator(task_id="hello_task")
        def hello(x, y):
            """
            Print Hello world
            """
            print("Hello world", x, y)
            return x, y
        with self.dag:
            output = hello.override(task_id="mytask")(x=2, y=3)
            output2 = hello.override()(2, 3)  
        assert output.operator.op_kwargs == {"x": 2, "y": 3}
        assert output2.operator.op_args == (2, 3)
        output.operator.run(start_date=DEFAULT_DATE, end_date=DEFAULT_DATE)
        output2.operator.run(start_date=DEFAULT_DATE, end_date=DEFAULT_DATE)
def test_mapped_decorator_shadow_context() -> None: