code: def test_not_sorted_group_numbers(X, y, not_sorted_group_numbers):
      cv_args = {"test_size": 1, "train_size": 3}
      expected_results = [
          (
              np.array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9]),
              np.array([10, 11, 12]),
          ),
          (
              np.array([4, 5, 6, 7, 8, 9, 10, 11, 12]),
              np.array([13, 14]),
          ),
          (np.array([8, 9, 10, 11, 12, 13, 14]), np.array([15])),
      ]
  
      check_splits(
          X, y, not_sorted_group_numbers, cv_args, expected_results
      )
  
imports: import numpy
  import pytest
  from sklearn.dummy import DummyClassifier
  from sklearn.model_selection import cross_val_score
  from mlxtend.evaluate import GroupTimeSeriesSplit
label_desc: Use image node_id 19 for calling a global function with example usage: test_not_sorted_group_numbers(X, y, not_sorted_group_numbers) without return types