code: def test_coco_unsupported_scorers(
      coco_visiondata_train, coco_visiondata_test
  ):
      # Arrange
      check = ClassPerformance(scorers=["fnr_per_class", "r3"])
      # Act
      assert_that(
          calling(check.run).with_args(
              coco_visiondata_train, coco_visiondata_test
          ),
          raises(
              DeepchecksNotSupportedError,
              r"Unsupported metric: r3 of type str was given.",
          ),
      )
  
imports: import re
  import typing
  from hamcrest import assert_that, calling, close_to, equal_to, greater_than, has_items, has_length, instance_of, raises
  from plotly.basedatatypes import BaseFigure
  from deepchecks.core.errors import DeepchecksNotSupportedError, DeepchecksValueError
  from deepchecks.vision.checks import ClassPerformance
  from deepchecks.vision.metrics_utils import CustomClassificationScorer
  from deepchecks.vision.metrics_utils.confusion_matrix_counts_metrics import AVAILABLE_EVALUATING_FUNCTIONS
  from tests.base.utils import equal_condition_result
label_desc: Use image node_id 15 for calling a global function with example usage: test_coco_unsupported_scorers(coco_visiondata_train, coco_visiondata_test) without return types