code: def test_gpu_aamp_stimp(T):
      threshold = 0.2
      min_m = 3
      n = T.shape[0] - min_m + 1
  
      pan = gpu_aamp_stimp(
          T, min_m=min_m, max_m=None, step=1, device_id=0
      )
  
      for i in range(n):
          pan.update()
  
      ref_PAN = np.full(
          (pan.M_.shape[0], T.shape[0]), fill_value=np.inf
      )
  
      for idx, m in enumerate(pan.M_[:n]):
          zone = int(np.ceil(m / 4))
          ref_mp = naive.aamp(T, m, T_B=None, exclusion_zone=zone)
          ref_PAN[pan._bfs_indices[idx], : ref_mp.shape[0]] = ref_mp[
              :, 0
          ]
  
      # Compare raw pan
      cmp_PAN = pan._PAN
  
      naive.replace_inf(ref_PAN)
      naive.replace_inf(cmp_PAN)
  
      npt.assert_almost_equal(ref_PAN, cmp_PAN)
  
      # Compare transformed pan
      cmp_pan = pan.PAN_
      ref_pan = naive.transform_pan(
          pan._PAN,
          pan._M,
          threshold,
          pan._bfs_indices,
          pan._n_processed,
          np.min(T),
          np.max(T),
      )
  
      naive.replace_inf(ref_pan)
      naive.replace_inf(cmp_pan)
  
      npt.assert_almost_equal(ref_pan, cmp_pan)
  
imports: from unittest.mock import patch
  import numpy
  import numpy.testing
  from numba import cuda
  from stumpy import gpu_aamp_stimp
  import naive
  import pytest
label_desc: Use image node_id 1 for calling a global function with example usage: test_gpu_aamp_stimp(T) without return types