code: def is_mixed_with_object_dtype(lhs, rhs):
      if cudf.api.types.is_categorical_dtype(lhs.dtype):
          return is_mixed_with_object_dtype(lhs.dtype.categories, rhs)
      elif cudf.api.types.is_categorical_dtype(rhs.dtype):
          return is_mixed_with_object_dtype(lhs, rhs.dtype.categories)
  
      return (lhs.dtype == "object" and rhs.dtype != "object") or (
          rhs.dtype == "object" and lhs.dtype != "object"
      )
  
imports: import datetime
  from collections import namedtuple
  from decimal import Decimal
  import cupy
  import numpy
  import pandas
  import pyarrow
  from pandas.core.dtypes.common import infer_dtype_from_object
  import cudf
  from cudf._typing import DtypeObj
  from cudf.api.types import is_bool, is_float, is_integer
label_desc: Use image node_id 16 for calling a global function with example usage: is_mixed_with_object_dtype(lhs, rhs) and returns: unknown, is_mixed_with_object_dtype, is_mixed_with_object_dtype