code: def test_string_types_detection():
      df = pd.DataFrame(
          {
              "strings": ["uid123", "mqqwen.m,", "2cm", "iddqd"],
              "text": [
                  "There once was",
                  "a data scientist",
                  "that didn't know",
                  "what type their data was.",
              ],
          }
      )
      types = detect_types(df)
      assert types.free_string["strings"]
      assert types.free_string["text"]
  
imports: import os
  import pytest
  import random
  import string
  import warnings
  import numpy
  import pandas
  from sklearn.datasets import load_iris, load_digits
  from sklearn.model_selection import train_test_split
  from sklearn.pipeline import make_pipeline
  from sklearn.linear_model import LogisticRegression
  from dabl.preprocessing import USELESS_TYPES, detect_types, EasyPreprocessor, DirtyFloatCleaner, clean, _FLOAT_REGEX, _float_matching, detect_type_series
  from dabl.utils import data_df_from_bunch
  from dabl.datasets import load_titanic
  from dabl import plot
label_desc: Use image node_id 26 for calling a global function with example usage: test_string_types_detection() without return types