### 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)

):
            raise AirflowException(
                "Passing op_args or op_kwargs is not supported across different Python "
                "major versions for PythonVirtualenvOperator. Please use string_args."
                f"Sys version: {sys.version_info}. Venv version: {python_version}"
            )
        if not shutil.which("virtualenv"):
            raise AirflowException("PythonVirtualenvOperator requires virtualenv, please install it.")
        if not requirements:
            self.requirements: list[str] | str = []
        elif isinstance(requirements, str):
            self.requirements = requirements
        else:
            self.requirements = list(requirements)
        self.python_version = python_version
        self.system_site_packages = system_site_packages
        self.pip_install_options = pip_install_options
        super().__init__(
            python_callable=python_callable,
            use_dill=use_dill,
            op_args=op_args,
            op_kwargs=op_kwargs,
            string_args=string_args,
            templates_dict=templates_dict,
            templates_exts=templates_exts,
            expect_airflow=expect_airflow,
            skip_on_exit_code=skip_on_exit_code,
            **kwargs,
        )
    def execute_callable(self):