code: def test_ndarray_slice():
      shape = (10,)
      A = mx.nd.array(np.random.uniform(-10, 10, shape))
      A2 = A.asnumpy()
      assert same(A[3:8].asnumpy(), A2[3:8])
      A2[3:8] *= 10
      A[3:8] = A2[3:8]
      assert same(A[3:8].asnumpy(), A2[3:8])
  
imports: import os
  import mxnet
  import numpy
  import pickle
label_desc: Use image node_id 15 for calling a global function with example usage: test_ndarray_slice() without return types