code: def test_fi_n_top(diabetes_split_dataset_and_model):
      train, _, clf = diabetes_split_dataset_and_model
      train = Dataset(
          train.data.copy(), label="target", cat_features=["sex"]
      )
      train.data.loc[0, "age"] = "aaa" * 1000
      train.data.loc[0, "bmi"] = "aaa" * 1000
      train.data.loc[0, "bp"] = "aaa" * 1000
      train.data.loc[0, "sex"] = "aaa" * 1000
      # Arrange
      check = StringLengthOutOfBounds(n_top_columns=3)
      # Act
      result_ds = check.run(train).display[1]
      # Assert
      assert_that(result_ds, has_length(3))
  
file_path: deepchecks/tests/tabular/checks/integrity/string_length_out_of_bounds_test.py
imports: import numpy
  import pandas
  from hamcrest import assert_that, equal_to, greater_than, has_entries, has_entry, has_items, has_length
  from deepchecks.core import ConditionCategory
  from deepchecks.tabular.checks import StringLengthOutOfBounds
  from deepchecks.tabular.dataset import Dataset
  from tests.base.utils import equal_condition_result
label_desc: Use image node_id 7 for calling a global function with example usage: test_fi_n_top(diabetes_split_dataset_and_model) without return types