code: def test_scrump(T, m):
      if T.ndim > 1:
          T = T.copy()
          T = T[0]
  
      seed = np.random.randint(100000)
  
      np.random.seed(seed)
      ref = stumpy.scraamp(T, m)
      np.random.seed(seed)
      comp = stumpy.scrump(T, m, normalize=False)
      npt.assert_almost_equal(ref.P_, comp.P_)
  
      for i in range(10):
          ref.update()
          comp.update()
          npt.assert_almost_equal(ref.P_, comp.P_)
  
imports: import naive
  import numpy
  import numpy.testing
  from dask.distributed import Client, LocalCluster
  from numba import cuda
  import stumpy
  from stumpy.maamp import maamp_multi_distance_profile
  from stumpy.mstump import multi_distance_profile
  import pytest
label_desc: Use image node_id 5 for calling a global function with example usage: test_scrump(T, m) without return types