code: def getLaplacian(X: torch.Tensor) -> torch.Tensor:
      """
      Calculate a laplacian matrix from an affinity matrix X.
      """
      X.fill_diagonal_(0)
      D = torch.sum(torch.abs(X), dim=1)
      D = torch.diag_embed(D)
      L = D - X
      return L
  
imports: from typing import Dict, List, Tuple
  import torch
  from torch.linalg import eigh, eigvalsh
label_desc: Use image node_id 16 for calling a global function with example usage: getLaplacian(X) and returns: L