code: def test_type_detection_bytes():
      import os
  
      df = pd.DataFrame({"a": [os.urandom(5) for io in range(100)]})
      types = detect_types(df)
      assert types.T.idxmax()["a"] == "free_string"
  
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 21 for calling a global function with example usage: test_type_detection_bytes() without return types