code: def test_from_numpy(np_array, zero_copy):
      # Test zero_copy
      mx_array = mx.npx.from_numpy(np_array, zero_copy=zero_copy)
      mx.test_utils.assert_almost_equal(np_array, mx_array.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 27 for calling a global function with example usage: test_from_numpy(np_array, zero_copy) without return types