class_docstr: Perform checks on points and transformations. Wrap the primary algorithm.
  
  1. Checks requirements on the parameter space from algorithms and create the
  appropriate transformations. Apply transformations before and after methods
  of the primary algorithm.
  2. Checks whether incoming and outcoming points are compliant with a space.
  
  Parameters
  ----------
  space : `orion.algo.space.Space`
     The original definition of a problem's parameters space.
  algorithm: instance of `BaseAlgorithm`
      Algorithm to be wrapped.
class_docstr_tok: ["Perform","checks","on","points","and","transformations",".","Wrap","the","primary","algorithm",".","1",".","Checks","requirements","on","the","parameter","space","from","algorithms","and","create","the","appropriate","transformations",".","Apply","transformations","before","and","after","methods","of","the","primary","algorithm",".","2",".","Checks","whether","incoming","and","outcoming","points","are","compliant","with","a","space",".","Parameters","--","--","--","--","--","space",":","`","orion.algo.space.Space","`","The","original","definition","of","a","problem","'s","parameters","space",".","algorithm",":","instance","of","`","BaseAlgorithm","`","Algorithm","to","be","wrapped","."]
code: def transform(self, trial: Trial) -> Trial:
      self._verify_trial(trial)
      return self.transformed_space.transform(trial)
  
file_path: orion/src/orion/core/worker/algo_wrappers/space_transform.py
imports: from __future__ import annotations
  from logging import getLogger
  from orion.algo.base import BaseAlgorithm
  from orion.algo.space import Space
  from orion.core.worker.algo_wrappers.transform_wrapper import AlgoT, TransformWrapper
  from orion.core.worker.transformer import ReshapedSpace, TransformedSpace, build_required_space
  from orion.core.worker.trial import Trial
label_desc: Use image node_id 4 for calling the SpaceTransform obj's underlying member method code with example usage: obj.transform(trial) and returns: self