code: def test_partial_usage_of_data(X, y, group_numbers):
      cv_args = {"test_size": 2, "train_size": 2, "n_splits": 2}
      expected_results = [
          (np.array([1, 2, 3, 4, 5, 6, 7]), np.array([8, 9, 10, 11])),
          (
              np.array([5, 6, 7, 8, 9]),
              np.array([10, 11, 12, 13, 14, 15]),
          ),
      ]
      check_splits(X, y, 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 18 for calling a global function with example usage: test_partial_usage_of_data(X, y, group_numbers) without return types