code: def test_outlier_multiple_outlier_ranges():
      # Arrange
      col_data = ["abcdefg", "efghabc"] * 100
      col_data.append("a")
      col_data.append("abcdbcdbcdbabcd")
      data = {"col1": col_data}
      ds = Dataset(pd.DataFrame(data=data), cat_features=[])
      # Act
      result = StringLengthOutOfBounds().run(ds).value
      # Assert
      assert_that(
          result,
          has_entries(
              col1=has_entries(
                  outliers=equal_to(
                      [
                          {
                              "range": {"min": 1, "max": 1},
                              "n_samples": 1,
                          },
                          {
                              "range": {"min": 15, "max": 15},
                              "n_samples": 1,
                          },
                      ]
                  )
              )
          ),
      )
  
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 6 for calling a global function with example usage: test_outlier_multiple_outlier_ranges() without return types