class_docstr: Base class defining the distribution default behavior and interface
docstr: Overload this method to apply updates to the W matrix in h(W).
  Typically used to prevent spurious cycles when using expended columns.
  
  Args:
      square_weight_mat: The weight matrix used in h(W).
  
  Returns:
      Updated weight matrix used in h(W).
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code: def modify_h(self, square_weight_mat: torch.Tensor) -> torch.Tensor:
      """
      Overload this method to apply updates to the W matrix in h(W).
      Typically used to prevent spurious cycles when using expended columns.
  
      Args:
          square_weight_mat: The weight matrix used in h(W).
  
      Returns:
          Updated weight matrix used in h(W).
      """
      return square_weight_mat
  
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 8 for calling the DistTypeBase obj's underlying member method code with example usage: obj.modify_h(square_weight_mat) and returns: square_weight_mat