code: def _write_base_to_shared_memory(space, index, value, shared_memory):
      size = int(np.prod(space.shape))
      destination = np.frombuffer(
          shared_memory.get_obj(), dtype=space.dtype
      )
      np.copyto(
          destination[index * size : (index + 1) * size],
          np.asarray(value, dtype=space.dtype).flatten(),
      )
  
file_path: gym/gym/vector/utils/shared_memory.py
imports: import multiprocessing
  from collections import OrderedDict
  from ctypes import c_bool
  from functools import singledispatch
  from typing import Union
  import numpy
  from gym.error import CustomSpaceError
  from gym.spaces import Box, Dict, Discrete, MultiBinary, MultiDiscrete, Space, Tuple
label_desc: Use image node_id 10 for calling a global function with example usage: _write_base_to_shared_memory(space, index, value, shared_memory) without return types