code: def infer_relative_search_space(
      self, study: Study, trial: FrozenTrial
  ) -> dict[str, BaseDistribution]:
      return self.relative_search_space
  
imports: from __future__ import annotations
  from collections.abc import Callable
  from collections.abc import Sequence
  import multiprocessing
  from multiprocessing.managers import DictProxy
  import os
  import pickle
  from typing import Any
  from unittest.mock import patch
  import warnings
  from _pytest.fixtures import SubRequest
  from _pytest.mark.structures import MarkDecorator
  import numpy
  import pytest
  import optuna
  from optuna.distributions import BaseDistribution
  from optuna.distributions import CategoricalChoiceType
  from optuna.distributions import CategoricalDistribution
  from optuna.distributions import FloatDistribution
  from optuna.distributions import IntDistribution
  from optuna.integration.botorch import logei_candidates_func
  from optuna.integration.botorch import qei_candidates_func
  from optuna.samplers import BaseSampler
  from optuna.samplers._lazy_random_state import LazyRandomState
  from optuna.study import Study
  from optuna.testing.objectives import fail_objective
  from optuna.testing.objectives import pruned_objective
  from optuna.trial import FrozenTrial
  from optuna.trial import Trial
  from optuna.trial import TrialState
label_desc: Use image node_id 2 for calling the FixedSampler obj's underlying member method code with example usage: obj.infer_relative_search_space(study, trial) and returns: self