code: def _dtype_represents_categories(series) -> bool:
      """Determine if the dtype of the series represents categorical values."""
      return (
          is_bool_dtype(series)
          or is_object_dtype(series)
          or is_string_dtype(series)
          or is_categorical_dtype(series)
      )
  
imports: import warnings
  import numpy
  import pandas
  from pandas.api.types import is_bool_dtype, is_categorical_dtype, is_datetime64_any_dtype, is_numeric_dtype, is_object_dtype, is_string_dtype, is_timedelta64_dtype
  from sklearn import preprocessing, tree
  from sklearn.metrics import f1_score, mean_absolute_error
  from sklearn.model_selection import cross_val_score
  from deepchecks.utils.typing import Hashable
label_desc: Use image node_id 6 for calling a global function with example usage: _dtype_represents_categories(series) and returns: unknown