### 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)

#
#
#
import sys
from collections import namedtuple
from datetime import date, timedelta
from typing import TYPE_CHECKING, Dict, Tuple, Union
import pytest
from airflow import PY38, PY311
from airflow.decorators import setup, task as task_decorator, teardown
from airflow.decorators.base import DecoratedMappedOperator
from airflow.exceptions import AirflowException, XComNotFound
from airflow.models import DAG
from airflow.models.baseoperator import BaseOperator
from airflow.models.expandinput import DictOfListsExpandInput
from airflow.models.mappedoperator import MappedOperator
from airflow.models.taskinstance import TaskInstance
from airflow.models.taskmap import TaskMap
from airflow.models.xcom_arg import PlainXComArg, XComArg
from airflow.utils import timezone
from airflow.utils.state import State
from airflow.utils.task_group import TaskGroup
from airflow.utils.trigger_rule import TriggerRule
from airflow.utils.types import DagRunType
from airflow.utils.xcom import XCOM_RETURN_KEY
from tests.operators.test_python import BasePythonTest
DEFAULT_DATE = timezone.datetime(2016, 1, 1)
class TestAirflowTaskDecorator(BasePythonTest):
    default_date = DEFAULT_DATE
    def test_python_operator_python_callable_is_callable(self):