code: def toeplitz(x: torch.Tensor) -> torch.Tensor:
      """Create Toeplitz matrix for one-dimensional signals along the last dimension.
  
      Args:
          x: tensor with shape (..., T)
  
      Returns:
          Tensor with shape (..., T, T)
      """
      length = x.size(-1)
      x = torch.cat([x[..., 1:].flip(dims=(-1,)), x], dim=-1)
      return x.unfold(-1, length, 1).flip(dims=(-1,))
  
imports: import math
  from typing import Iterable, Optional, Union
  import librosa
  import numpy
  import numpy.typing
  import scipy
  import soundfile
  import torch
  from scipy.spatial.distance import pdist, squareform
  from nemo.utils import logging
label_desc: Use image node_id 19 for calling a global function with example usage: toeplitz(x) and returns: x