code: def cudf_dtype_to_pa_type(dtype):
      """Given a cudf pandas dtype, converts it into the equivalent cuDF
      Python dtype.
      """
      if isinstance(dtype, cudf.CategoricalDtype):
          raise NotImplementedError(
              "No conversion from Categorical to pyarrow type"
          )
      elif isinstance(
          dtype,
          (
              cudf.StructDtype,
              cudf.ListDtype,
              cudf.core.dtypes.DecimalDtype,
          ),
      ):
          return dtype.to_arrow()
      else:
          return np_to_pa_dtype(cudf.dtype(dtype))
  
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 6 for calling a global function with example usage: cudf_dtype_to_pa_type(dtype) and returns: dtype, np_to_pa_dtype