code: def test_autocorrelation():
      x = torch.sin(torch.linspace(0, 2 * 2 * math.pi, 201))
      corr = autocorrelation(x, dim=-1)
      assert (
          corr[0] == 1
      ), "Autocorrelation of first element should be 1."
      assert (
          corr[101] > 0.99
      ), "Autocorrelation should be near 1 for sin(2*pi)"
      assert (
          corr[50] < -0.99
      ), "Autocorrelation should be near -1 for sin(pi)"
  
imports: import math
  import torch
  from pytorch_forecasting.utils import autocorrelation
label_desc: Use image node_id 1 for calling a global function with example usage: test_autocorrelation() without return types