code: def test_condition_count_pass():
      # Arrange
      col_data = ["a", "b"] * 100
      col_data.append("abcdefg")
      col_data.append("abcdefg")
      data = {"col1": col_data}
      ds = Dataset(pd.DataFrame(data=data), cat_features=[])
      # Act
      check = StringLengthOutOfBounds().add_condition_number_of_outliers_less_or_equal(
          10
      )
  
      # Act
      result = check.conditions_decision(check.run(ds))
  
      assert_that(
          result,
          has_items(
              equal_condition_result(
                  is_pass=True,
                  details="Passed for 1 columns",
                  name="Number of string length outliers is less or equal to 10",
              )
          ),
      )
  
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 10 for calling a global function with example usage: test_condition_count_pass() without return types