code: def test_to_coo(
      self,
      sort_labels,
      expected_rows,
      expected_cols,
      expected_values_pos,
  ):
      sp_sparse = pytest.importorskip("scipy.sparse")
  
      values = SparseArray([0, np.nan, 1, 0, None, 3], fill_value=0)
      index = pd.MultiIndex.from_tuples(
          [
              ("b", 2, "z", 1),
              ("a", 2, "z", 2),
              ("a", 2, "z", 1),
              ("a", 2, "x", 2),
              ("b", 1, "z", 1),
              ("a", 1, "z", 0),
          ]
      )
      ss = pd.Series(values, index=index)
  
      expected_A = np.zeros((4, 4))
      for value, (row, col) in expected_values_pos.items():
          expected_A[row, col] = value
  
      A, rows, cols = ss.sparse.to_coo(
          row_levels=(0, 1),
          column_levels=(2, 3),
          sort_labels=sort_labels,
      )
      assert isinstance(A, sp_sparse.coo_matrix)
      tm.assert_numpy_array_equal(A.toarray(), expected_A)
      assert rows == expected_rows
      assert cols == expected_cols
  
imports: import string
  import numpy
  import pytest
  import pandas
  from pandas import SparseDtype
  import pandas._testing
  from pandas.core.arrays.sparse import SparseArray
label_desc: Use image node_id 4 for calling the TestSeriesAccessor obj's underlying member method code with example usage: obj.test_to_coo(sort_labels, expected_rows, expected_cols, expected_values_pos) without return types