code: def test_coco_thershold_scorer_list_strings(
      coco_visiondata_train, coco_visiondata_test
  ):
      # Arrange
      scorers = [
          name + "_per_class"
          for name in AVAILABLE_EVALUATING_FUNCTIONS.keys()
      ]
      check = ClassPerformance(scorers=scorers)
      # Act
      result = check.run(coco_visiondata_train, coco_visiondata_test)
      # Assert
      assert_that(result.value, has_length(590))
      assert_that(result.display, has_length(greater_than(0)))
      assert_that(
          set(result.value["Metric"]),
          equal_to(set(AVAILABLE_EVALUATING_FUNCTIONS.keys())),
      )
  
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 12 for calling a global function with example usage: test_coco_thershold_scorer_list_strings(coco_visiondata_train, coco_visiondata_test) without return types