code: def test_index_operator(shape, dtype):
      if len(shape) >= 1 or not _np.issubdtype(dtype, _np.integer):
          x = np.ones(shape=shape, dtype=dtype)
          pytest.raises(TypeError, operator.index, x)
      else:
          assert operator.index(
              np.ones(shape=shape, dtype=dtype)
          ) == operator.index(_np.ones(shape=shape, dtype=dtype))
  
imports: from __future__ import absolute_import
  from __future__ import division
  import itertools
  import os
  import pytest
  import operator
  import numpy
  import mxnet
  from mxnet import np, npx, autograd
  from mxnet.gluon import HybridBlock
  from mxnet.test_utils import same, assert_almost_equal, rand_shape_nd, rand_ndarray, use_np
  from common import retry, TemporaryDirectory, xfail_when_nonstandard_decimal_separator
  from mxnet.test_utils import verify_generator, gen_buckets_probs_with_ppf, assert_exception, is_op_runnable, collapse_sum_like
  from mxnet.ndarray.ndarray import py_slice
  from mxnet.base import integer_types
label_desc: Use image node_id 32 for calling a global function with example usage: test_index_operator(shape, dtype) without return types