class_docstr: Base class for most multi-part function, overlapping or not.
class_docstr_tok: ["Base","class","for","most","multi-part","function",",","overlapping","or","not","."]
code: def _make_transforms(
      self, side_loss: bool
  ) -> List[Callable[[np.ndarray], np.ndarray]]:
      raise NotImplementedError
  
imports: from typing import List, Callable, Dict, Type, Optional
  from pathlib import Path
  import re
  import numpy
  from nevergrad.common.decorators import Registry
  from nevergrad.functions import ExperimentFunction
  import nevergrad
  from .None import _core
label_desc: Use image node_id 2 for calling the _MultiPartFunction obj's underlying member method code with example usage: obj._make_transforms(side_loss) without return types