code: def test_boolean_index_single():
      # adapted from numpy's test_indexing.py
      # Single boolean index
      a = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]], dtype=np.int32)
      assert same(
          a[np.array(True, dtype=np.bool_)].asnumpy(), a[None].asnumpy()
      )
      assert same(
          a[np.array(False, dtype=np.bool_)].asnumpy(),
          a[None][0:0].asnumpy(),
      )
  
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 16 for calling a global function with example usage: test_boolean_index_single() without return types