code: def test_ndarray_slice_along_axis():
      arr = mx.nd.array(np.random.uniform(-10, 10, (3, 4, 2, 3)))
      sub_arr = arr.slice(begin=(None, 1), end=(None, 3))
  
      # test we sliced correctly
      assert same(arr.asnumpy()[:, 1:3, :, :], sub_arr.asnumpy())
  
      # test that slice is copy, instead of shared memory
      sub_arr[:] = 0
      assert not same(arr.asnumpy()[:, 1:3, :, :], sub_arr.asnumpy())
  
imports: import os
  import mxnet
  import numpy
  import pickle
label_desc: Use image node_id 16 for calling a global function with example usage: test_ndarray_slice_along_axis() without return types