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","."]
docstr: Return the registered transformed trials that map to the given trial in the original
  space.
docstr_tok: ["Return","the","registered","transformed","trials","that","map","to","the","given","trial","in","the","original","space","."]
code: def get_trials(self, original_trial: Trial) -> list[Trial]:
      """Return the registered transformed trials that map to the given trial in the original
      space.
      """
      return self.get(original_trial, [])
  
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 8 for calling the RegistryMapping obj's underlying member method code with example usage: obj.get_trials(original_trial) and returns: self