old_contents: #!/usr/bin/env python3
  
  import numpy as np
  import copy as cp
  import rust_sorting as rs
  
  N = 5
  max_val = 10.0
  
  dtypes = [np.int8,  np.int16,  np.int32,  np.int64,
            np.uint8, np.uint16, np.uint32, np.uint64,
            np.float32, np.float64]
  
  
  for dtype in dtypes:
      # print("dtype:", dtype)
  
      array = np.array(max_val*(np.random.rand(N) - 0.5), dtype=dtype)
  
      orig_array = cp.deepcopy(array)
  
      # print("Python:      to sort =", repr(array))
  
      # rs.sort(array)
      # rs.insertionsort(array)
      # rs.selectionsort(array)
      rs.quicksort(array)
  
      # print("Python:      sorted  =", repr(array))
  
      assert((array == np.sort(orig_array)).all())
  
  print("Python done and sorted!")
  
new_contents: #!/usr/bin/env python3
  
  import numpy as np
  import copy as cp
  import rust_sorting as rs
  
  N = 5
  max_val = 10.0
  
  dtypes = [np.int8,  np.int16,  np.int32,  np.int64,
            np.uint8, np.uint16, np.uint32, np.uint64,
            np.float32, np.float64]
  
  
  for dtype in dtypes:
      # print("dtype:", dtype)
  
      array = np.array(max_val*(np.random.rand(N) - 0.5), dtype=dtype)
  
      orig_array = cp.deepcopy(array)
  
      # print("Python:      to sort =", repr(array))
  
      # rs.sort(array)
      # rs.insertionsort(array)
      # rs.selectionsort(array)
      # rs.quicksort(array)
      rs.mergesort(array)
  
      # print("Python:      sorted  =", repr(array))
  
      assert((array == np.sort(orig_array)).all())
  
  print("Python done and sorted!")
  
subject: Use merge sort in example