code: def test_mixed_array_types():
      np_array = _np.array([[1, 2], [3, 4], [5, 6]], dtype="float32")
      mx_array = mx.np.ones((3, 1))
      assert_almost_equal(mx_array + np_array, 1 + np_array)
  
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 29 for calling a global function with example usage: test_mixed_array_types() without return types