code: def arange_shape_like(y):
      shape = y.shape
      nelems = reduce(mul, shape)
      x = nd.arange(nelems).reshape(shape)
      return x
  
imports: import math
  import random
  from functools import reduce
  from operator import mul
  import random
  from common import xfail_when_nonstandard_decimal_separator
  import mxnet
  from mxnet import nd, autograd, gluon
  from mxnet.test_utils import assert_almost_equal, random_arrays, random_uniform_arrays, rand_shape_nd, same
label_desc: Use image node_id 32 for calling a global function with example usage: arange_shape_like(y) and returns: x