code: def virtualenv_task(
      python_callable: Callable | None = None,
      multiple_outputs: bool | None = None,
      **kwargs,
  ) -> TaskDecorator:
      """
      Wrap a callable into an Airflow operator to run via a Python virtual environment.
  
      Accepts kwargs for operator kwarg. Can be reused in a single DAG.
  
      This function is only used only used during type checking or auto-completion.
  
      :meta private:
  
      :param python_callable: Function to decorate
      :param multiple_outputs: If set to True, the decorated function's return value will be unrolled to
          multiple XCom values. Dict will unroll to XCom values with its keys as XCom keys.
          Defaults to False.
      """
      return task_decorator_factory(
          python_callable=python_callable,
          multiple_outputs=multiple_outputs,
          decorated_operator_class=_PythonVirtualenvDecoratedOperator,
          **kwargs,
      )
  
file_path: airflow/airflow/decorators/python_virtualenv.py
imports: from __future__ import annotations
  from typing import TYPE_CHECKING, Callable
  from airflow.decorators.base import task_decorator_factory
  from airflow.decorators.python import _PythonDecoratedOperator
  from airflow.operators.python import PythonVirtualenvOperator
label_desc: Use image node_id 1 for calling a global function with example usage: virtualenv_task(python_callable, multiple_outputs) and returns: task_decorator_factory