code: def _get_subspaces(
      search_spaces: numpy.ndarray,
      *,
      search_spaces_column: int,
      feature: int,
      threshold: float,
  ) -> numpy.ndarray:
      search_spaces_subspace = numpy.copy(search_spaces)
      search_spaces_subspace[feature, search_spaces_column] = threshold
      return search_spaces_subspace
  
imports: from __future__ import annotations
  from functools import lru_cache
  import itertools
  from typing import List
  from typing import Set
  from typing import Tuple
  from typing import TYPE_CHECKING
  from typing import Union
  import numpy
label_desc: Use image node_id 3 for calling a global function with example usage: _get_subspaces(search_spaces) and returns: search_spaces_subspace