code: def test_np_ndarray_pickle():
      a = np.random.uniform(size=(4, 5))
      a_copy = a.copy()
      import pickle
  
      with TemporaryDirectory() as work_dir:
          fname = os.path.join(work_dir, "np_ndarray_pickle_test_file")
          with open(fname, "wb") as f:
              pickle.dump(a_copy, f)
          with open(fname, "rb") as f:
              a_load = pickle.load(f)
          same(a.asnumpy(), a_load.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 25 for calling a global function with example usage: test_np_ndarray_pickle() without return types