### 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)

file.write_text("\n".join(map(str, self.string_args)))
    def _read_result(self, path: Path):
        if path.stat().st_size == 0:
            return None
        try:
            return self.pickling_library.loads(path.read_bytes())
        except ValueError as value_error:
            raise DeserializingResultError() from value_error
    def __deepcopy__(self, memo):
        
        memo[id(self.pickling_library)] = self.pickling_library
        return super().__deepcopy__(memo)
    def _execute_python_callable_in_subprocess(self, python_path: Path, tmp_dir: Path):
        op_kwargs: dict[str, Any] = {k: v for k, v in self.op_kwargs.items()}
        if self.templates_dict:
            op_kwargs["templates_dict"] = self.templates_dict
        input_path = tmp_dir / "script.in"
        output_path = tmp_dir / "script.out"
        string_args_path = tmp_dir / "string_args.txt"
        script_path = tmp_dir / "script.py"
        termination_log_path = tmp_dir / "termination.log"
        self._write_args(input_path)
        self._write_string_args(string_args_path)
        write_python_script(
            jinja_context=dict(
                op_args=self.op_args,
                op_kwargs=op_kwargs,
                expect_airflow=self.expect_airflow,
                pickling_library=self.pickling_library.__name__,
                python_callable=self.python_callable.__name__,