code: def test_boolean_index_onedim():
      # adapted from numpy's test_indexing.py
      # Indexing a 2-dimensional array with
      # boolean array of length one
      a = np.array([[0.0, 0.0, 0.0]])
      b = np.array([True], dtype=bool)
      assert same(a[b].asnumpy(), a.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 18 for calling a global function with example usage: test_boolean_index_onedim() without return types