code: def test_csr_matrix_to_list(self):
      input_sparse_matrix = csr_matrix((3, 10000), dtype=np.int8)
      with pytest.raises(ValueError) as ve:
          convert_to_list(input_sparse_matrix)
      assert (
          "Exceeds maximum number of features for "
          + "visualization (1000)"
          in str(ve.value)
      )
  
      with pytest.raises(ValueError) as ve:
          convert_to_list(
              input_sparse_matrix, custom_err_msg="Error occurred"
          )
      assert "Error occurred" in str(ve.value)
  
      row = np.array([0, 0, 1, 2, 2, 2])
      col = np.array([0, 2, 2, 0, 1, 2])
      data = np.array([1, 2, 3, 4, 5, 6])
      sparse_matrix = csr_matrix((data, (row, col)), shape=(3, 3))
      expected_list = [[1, 0, 2], [0, 0, 3], [4, 5, 6]]
      input_as_list = convert_to_list(sparse_matrix)
  
      assert input_as_list is not None
      assert input_as_list == expected_list
  
imports: import datetime
  import json
  import numpy
  import pandas
  import pytest
  from scipy.sparse import csr_matrix
  from raiutils.data_processing import convert_to_list, convert_to_string_list_dict, serialize_json_safe
label_desc: Use image node_id 6 for calling the TestConvertToList obj's underlying member method code with example usage: obj.test_csr_matrix_to_list() without return types