code: def test_reduce_output_drift_regression_label(
      drifted_regression_label,
  ):
      # Arrange
      train, test = drifted_regression_label
      check = LabelDrift(
          categorical_drift_method="PSI", numerical_drift_method="EMD"
      )
  
      # Act
      result = check.run(train, test)
  
      # Assert
      assert_that(
          result.reduce_output(),
          has_entries({"Label Drift Score": close_to(0.34, 0.01)}),
      )
  
      assert_that(check.greater_is_better(), equal_to(False))
  
file_path: deepchecks/tests/tabular/checks/train_test_validation/label_drift_test.py
imports: import numpy
  import pandas
  from hamcrest import assert_that, calling, close_to, equal_to, greater_than, has_entries, has_length, raises
  from deepchecks.core.condition import ConditionCategory
  from deepchecks.core.errors import NotEnoughSamplesError
  from deepchecks.tabular import Dataset
  from deepchecks.tabular.checks import LabelDrift
  from tests.base.utils import equal_condition_result
label_desc: Use image node_id 9 for calling a global function with example usage: test_reduce_output_drift_regression_label(drifted_regression_label) without return types