code: def test_mnist_sklearn_scorer(
      mnist_visiondata_train, mnist_visiondata_test
  ):
      # Arrange
      check = ClassPerformance(
          scorers={"f1": "f1_per_class", "recall": "recall_per_class"}
      )
  
      # Act
      result = check.run(mnist_visiondata_train, mnist_visiondata_test)
      # Assert
      assert_that(result.value, has_length(40))
      assert_that(result.display, has_length(greater_than(0)))
      assert_that(
          set(result.value["Metric"]), equal_to({"f1", "recall"})
      )
  
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 14 for calling a global function with example usage: test_mnist_sklearn_scorer(mnist_visiondata_train, mnist_visiondata_test) without return types