code: def test_mnist_largest_without_display(
      mnist_visiondata_train, mnist_visiondata_test
  ):
      # Arrange
      check = ClassPerformance(n_to_show=2, show_only="largest")
      # Act
      result = check.run(
          mnist_visiondata_train,
          mnist_visiondata_test,
          with_display=False,
      )
  
      # Assert
      assert_that(set(result.value["Class"]), has_length(10))
      assert_that(result.value, has_length(40))
      assert_that(result.display, has_length(0))
  
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 2 for calling a global function with example usage: test_mnist_largest_without_display(mnist_visiondata_train, mnist_visiondata_test) without return types