code: def test_mix_columns_full_matrix_with_nulls():
      # Arrange
      data = pd.DataFrame(
          {
              "col1": [
                  "a",
                  "a",
                  "a",
                  "b",
                  "a",
                  "a",
                  None,
                  "a",
                  "a",
                  "a",
                  "a",
                  "a",
                  "a",
                  "b",
              ],
              "col2": [1, 1, 1, 1, 1, 1, None, 1, 1, 1, 1, 1, 1, 1000],
          }
      )
      is_categorical_arr = np.array([True, False], dtype=bool)
      # Act
      dist = gower_distance.gower_matrix(
          data=np.asarray(data), cat_features=is_categorical_arr
      )
      # Assert
      assert_that(dist[-1], has_item(1))
      assert_that(dist[-1], has_length(data.shape[0]))
      assert_that(dist[3], has_item(greater_than(0.01)))
      assert_that(min(dist[0]), less_than_or_equal_to(0))
  
file_path: deepchecks/tests/utils/test_gower_distance.py
imports: import gower
  import numpy
  import pandas
  from hamcrest import assert_that, contains_exactly, equal_to, greater_than, has_item, has_length, less_than_or_equal_to
  from deepchecks.utils import gower_distance
label_desc: Use image node_id 4 for calling a global function with example usage: test_mix_columns_full_matrix_with_nulls() without return types