code: def test_classification_with_bias(mnist_train_brightness_bias):
      result = (
          PropertyLabelCorrelation()
          .add_condition_property_pps_less_than(0.2)
          .run(mnist_train_brightness_bias)
      )
      # assert check result
      assert_that(
          result.value,
          has_entries(
              {
                  "Brightness": close_to(0.248, 0.005),
                  "Area": close_to(0.0, 0.005),
              }
          ),
      )
      # assert condition
      assert_that(
          result.conditions_results[0],
          equal_condition_result(
              is_pass=False,
              details="Found 1 out of 7 properties with PPS above threshold: {'Brightness': '0.25'}",
              name="Properties' Predictive Power Score is less than 0.2",
          ),
      )
  
file_path: deepchecks/tests/vision/checks/data_integrity/property_label_correlation_test.py
imports: import numpy
  from hamcrest import assert_that, close_to, contains_exactly, has_entries
  from deepchecks.vision.checks import PropertyLabelCorrelation
  from tests.base.utils import equal_condition_result
label_desc: Use image node_id 4 for calling a global function with example usage: test_classification_with_bias(mnist_train_brightness_bias) without return types