code: def getLamdaGaplist(lambdas: torch.Tensor) -> torch.Tensor:
      """
      Calculate the gaps between lambda values.
      """
      if torch.is_complex(lambdas):
          lambdas = torch.real(lambdas)
      return lambdas[1:] - lambdas[:-1]
  
imports: from typing import Dict, List, Tuple
  import torch
  from torch.linalg import eigh, eigvalsh
label_desc: Use image node_id 19 for calling a global function with example usage: getLamdaGaplist(lambdas) and returns: unknown