class_docstr: Change the relative flag of the given relative optimization configuration
  to False. This is needed in order for the new opt config to pass ModelBridge
  that requires non-relativized opt config.
  
  Also transforms absolute data and opt configs to relative.
  
  Requires a modelbridge with a status quo set to work.
  
  Abstract property control_as_constant is set to True/False in its subclasses
  Relativize and RelativizeWithConstantControl respectively to account for
  appropriate transform/untransform differently.
code: def untransform_outcome_constraints(
      self,
      outcome_constraints: List[OutcomeConstraint],
      fixed_features: Optional[ObservationFeatures] = None,
  ) -> List[OutcomeConstraint]:
      for c in outcome_constraints:
          c.relative = True
      return outcome_constraints
  
imports: from __future__ import annotations
  from abc import ABC, abstractmethod
  from math import sqrt
  from typing import Callable, Dict, List, Optional, Tuple, TYPE_CHECKING
  import numpy
  from ax.core.observation import Observation, ObservationData, ObservationFeatures
  from ax.core.optimization_config import MultiObjectiveOptimizationConfig, OptimizationConfig
  from ax.core.outcome_constraint import OutcomeConstraint
  from ax.core.search_space import SearchSpace
  from ax.modelbridge import ModelBridge
  from ax.modelbridge.transforms.base import Transform
  from ax.models.types import TConfig
  from ax.utils.common.typeutils import not_none
  from ax.utils.stats.statstools import relativize, unrelativize
label_desc: Use image node_id 4 for calling the BaseRelativize obj's underlying member method code with example usage: obj.untransform_outcome_constraints(outcome_constraints, fixed_features) and returns: outcome_constraints