### 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 task_decorator loads doc_md from function doc if doc_md is not explicitly provided."""
        kwargs = {}
        kwargs[op_doc_attr] = op_doc_value
        @task_decorator(**kwargs)
        def add_2(number: int):
            """Adds 2 to number."""
            return number + 2
        test_number = 10
        with self.dag:
            ret = add_2(test_number)
        assert ret.operator.doc_md == expected_doc_md
    def test_user_provided_task_id_in_a_loop_is_used(self):
        """Tests that when looping that user provided task_id is used"""
        @task_decorator(task_id="hello_task")
        def hello():
            """
            Print Hello world
            """
            print("Hello world")
        with self.dag:
            for i in range(3):
                hello.override(task_id=f"my_task_id_{i * 2}")()
            hello()  
        assert self.dag.task_ids == ["my_task_id_0", "my_task_id_2", "my_task_id_4", "hello_task"]
    def test_user_provided_pool_and_priority_weight_works(self):
        """Tests that when looping that user provided pool, priority_weight etc is used"""
        @task_decorator(task_id="hello_task")
        def hello():