class_docstr: A map between the original and transformed registries.
  
  This object is used in the `SpaceTransform` to check if a trial in the original space
  has equivalent trials in the transformed space.
  
  The goal is to make it so the algorithms don't have to care about the transforms/etc.
class_docstr_tok: ["A","map","between","the","original","and","transformed","registries",".","This","object","is","used","in","the","`","SpaceTransform","`","to","check","if","a","trial","in","the","original","space","has","equivalent","trials","in","the","transformed","space",".","The","goal","is","to","make","it","so","the","algorithms","do","n't","have","to","care","about","the","transforms\/etc","."]
code: def __init__(
      self, original_registry: Registry, transformed_registry: Registry
  ):
      self.original_registry = original_registry
      self.transformed_registry = transformed_registry
      self._mapping: dict[str, set[str]] = defaultdict(set)
  
imports: from __future__ import annotations
  import copy
  from collections import defaultdict
  from logging import getLogger
  from typing import Any, Container, Iterable, Iterator, Mapping
  from orion.core.worker.trial import Trial, TrialCM
label_desc: Use image node_id 1 to create a new RegistryMapping object from inherited base classes: Mapping with example: obj = RegistryMapping(original_registry, transformed_registry)