code: def multiprocessing(context: Optional[str] = None):
      return (
          _multiprocessing
          if context is None
          else _multiprocessing.get_context(context)
      )
  
imports: from typing import Optional, Union, Sequence, Callable, Tuple
  import numpy
  import multiprocessing
  from numbers import Number
  import tensorflow
  import ivy
  from ivy.functional.ivy.gradients import _is_variable
  from ivy.func_wrapper import with_unsupported_dtypes
  from ivy.utils.exceptions import _check_inplace_update_support
  from .None import backend_version
  from ...ivy.general import _broadcast_to
label_desc: Use image node_id 20 for calling a global function with example usage: multiprocessing(context) and returns: unknown