code: def test_sparse_nd_concat():
      def check_concat(arrays):
          ret = np.concatenate(
              [arr.asnumpy() for arr in arrays], axis=0
          )
          same(mx.nd.concat(*arrays, dim=0).asnumpy(), ret)
  
      nds = []
      zero_nds = []
      ncols = rnd.randint(2, 10)
      for _ in range(3):
          shape = (rnd.randint(2, 10), ncols)
          A, _ = rand_sparse_ndarray(shape, "csr")
          nds.append(A)
          zero_nds.append(mx.nd.zeros(shape).tostype("csr"))
      check_concat(nds)
      check_concat(zero_nds)
  
imports: import pickle
  from mxnet.ndarray import NDArray
  import mxnet
  from mxnet.test_utils import *
  from common import random_seed
  from mxnet.base import mx_real_t
  from numpy.testing import assert_allclose
  import numpy.random
  import numpy
  import scipy.sparse
  from common import assertRaises, xfail_when_nonstandard_decimal_separator
  from mxnet.ndarray.sparse import RowSparseNDArray, CSRNDArray
  import pytest
label_desc: Use image node_id 7 for calling a global function with example usage: test_sparse_nd_concat() without return types