class_docstr: Base class defining the distribution default behavior and interface
docstr: Overload this method to perform any required preprocessing of the data
  matrix. This can include data conversion, column expansion etc.
  Changes to the tabu parameters should also be done here.
  
  **WARN** This preprocessing CANNOT reorder the columns of X.
  
  Args:
      X: The original passed-in data.
  
      fit_transform: Whether the class first fits
      then transforms the data, or just transforms.
      Just transforming is used to preprocess new data after the
      initial NOTEARS fit.
  
  Returns:
      Preprocessed X
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code: def preprocess_X(
      self, X: np.ndarray, fit_transform: bool = True
  ) -> np.ndarray:
      """
      Overload this method to perform any required preprocessing of the data
      matrix. This can include data conversion, column expansion etc.
      Changes to the tabu parameters should also be done here.
  
      **WARN** This preprocessing CANNOT reorder the columns of X.
  
      Args:
          X: The original passed-in data.
  
          fit_transform: Whether the class first fits
          then transforms the data, or just transforms.
          Just transforming is used to preprocess new data after the
          initial NOTEARS fit.
  
      Returns:
          Preprocessed X
      """
      return X
  
imports: import itertools
  from abc import ABCMeta, abstractmethod
  from copy import deepcopy
  from typing import Dict, List, Tuple
  import numpy
  import torch
  from causalnex.structure.structuremodel import StructureModel
label_desc: Use image node_id 3 for calling the DistTypeBase obj's underlying member method code with example usage: obj.preprocess_X(X, fit_transform) and returns: X