code: def test_synthetic_dataset_generator():
      def test_powerlaw_generator(csr_arr, final_row=1):
          """Test power law distribution
          Total Elements: 32000, Number of zeros: 3200
          Every row has 2 * non zero elements of the previous row.
          Also since (2047 < 3200 < 4095) this will be true till 10th row
          """
          indices = csr_arr.indices.asnumpy()
          indptr = csr_arr.indptr.asnumpy()
          for row in range(1, final_row + 1):
              nextrow = row + 1
              current_row_nnz = indices[indptr[row] - 1] + 1
              next_row_nnz = indices[indptr[nextrow] - 1] + 1
              assert next_row_nnz == 2 * current_row_nnz
  
      # Test if density is preserved
      csr_arr_cols, _ = rand_sparse_ndarray(
          shape=(32, 10000),
          stype="csr",
          density=0.01,
          distribution="powerlaw",
      )
  
      csr_arr_small, _ = rand_sparse_ndarray(
          shape=(5, 5),
          stype="csr",
          density=0.5,
          distribution="powerlaw",
      )
  
      csr_arr_big, _ = rand_sparse_ndarray(
          shape=(32, 1000000),
          stype="csr",
          density=0.4,
          distribution="powerlaw",
      )
  
      csr_arr_square, _ = rand_sparse_ndarray(
          shape=(1600, 1600),
          stype="csr",
          density=0.5,
          distribution="powerlaw",
      )
      assert len(csr_arr_cols.data) == 3200
      test_powerlaw_generator(csr_arr_cols, final_row=9)
      test_powerlaw_generator(csr_arr_small, final_row=1)
      test_powerlaw_generator(csr_arr_big, final_row=4)
      test_powerlaw_generator(csr_arr_square, final_row=6)
  
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 34 for calling a global function with example usage: test_synthetic_dataset_generator() without return types