class_docstr: Wrapper that makes the algo "multi-task" by adding a task id to the inputs.
class_docstr_tok: ["Wrapper","that","makes","the","algo","``","multi-task","''","by","adding","a","task","id","to","the","inputs","."]
docstr: Number of completed trials observed by the algorithm, excluding warm-starting.
docstr_tok: ["Number","of","completed","trials","observed","by","the","algorithm",",","excluding","warm-starting","."]
code: def n_observed(self):
      """Number of completed trials observed by the algorithm, excluding warm-starting."""
      return super().n_observed
  
imports: from __future__ import annotations
  import copy
  from collections import defaultdict
  from contextlib import contextmanager
  from logging import getLogger
  from orion.algo.space import Categorical, Space
  from orion.core.utils.format_trials import dict_to_trial
  from orion.core.worker.algo_wrappers.algo_wrapper import AlgoT
  from orion.core.worker.algo_wrappers.transform_wrapper import TransformWrapper, _copy_status_and_results
  from orion.core.worker.experiment_config import ExperimentConfig
  from orion.core.worker.trial import Trial
  from orion.core.worker.warm_start.knowledge_base import KnowledgeBase
  from orion.core.worker.warm_start.warm_starteable import WarmStarteable
label_desc: Use image node_id 10 for calling the MultiTaskWrapper obj's underlying member method code with example usage: obj.n_observed() and returns: super