code: def _get_lifter_coeffs(
      num_ceps: int, cepstral_lifter: float
  ) -> Tensor:
      # returns size (num_ceps)
      # Compute liftering coefficients (scaling on cepstral coeffs)
      # coeffs are numbered slightly differently from HTK: the zeroth index is C0, which is not affected.
      i = torch.arange(num_ceps)
      return 1.0 + 0.5 * cepstral_lifter * torch.sin(
          math.pi * i / cepstral_lifter
      )
  
imports: import math
  from typing import Tuple
  import torch
  import torchaudio
  from torch import Tensor
label_desc: Use image node_id 19 for calling a global function with example usage: _get_lifter_coeffs(num_ceps, cepstral_lifter) and returns: unknown