code: def test_condition_train_not_smaller_than_test_pass(iris):
      # Arrange
      train = iris[:100]
      test = iris[100:]
      check = (
          DatasetsSizeComparison().add_condition_train_dataset_greater_or_equal_test()
      )
  
      # Act
      check_result = check.run(train, test)
      condition_result, *_ = check_result.conditions_results
  
      # Assert
      assert_that(
          condition_result,
          equal_condition_result(
              is_pass=True,
              details="Train dataset is larger than test dataset by +50 samples",
              name="Train dataset is greater or equal to test dataset",
          ),
      )
  
file_path: deepchecks/tests/tabular/checks/train_test_validation/datasets_size_comparison_test.py
imports: from hamcrest import assert_that, has_entries, instance_of
  from deepchecks.core import CheckResult, ConditionCategory
  from deepchecks.tabular.checks import DatasetsSizeComparison
  from tests.base.utils import equal_condition_result
label_desc: Use image node_id 6 for calling a global function with example usage: test_condition_train_not_smaller_than_test_pass(iris) without return types