class_docstr: In-memory container for the trials that the algorithm suggests/observes/etc.
  
  This behaves a bit like a managed dictionary, but the "keys" are trials ids, which
  (at the time of writing) can vary depending on how we chose to compute them.
class_docstr_tok: ["In-memory","container","for","the","trials","that","the","algorithm","suggests\/observes\/etc",".","This","behaves","a","bit","like","a","managed","dictionary",",","but","the","``","keys","''","are","trials","ids",",","which","(","at","the","time","of","writing",")","can","vary","depending","on","how","we","chose","to","compute","them","."]
code: def __repr__(self) -> str:
      return f"{type(self).__qualname__}({list(iter(self))})"
  
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 2 for calling the Registry obj's underlying member method code with example usage: obj.__repr__() and returns: type, str, list, str