code: def cudf_dtype_from_pydata_dtype(dtype):
      """Given a numpy or pandas dtype, converts it into the equivalent cuDF
      Python dtype.
      """
  
      if cudf.api.types.is_categorical_dtype(dtype):
          return cudf.core.dtypes.CategoricalDtype
      elif cudf.api.types.is_decimal32_dtype(dtype):
          return cudf.core.dtypes.Decimal32Dtype
      elif cudf.api.types.is_decimal64_dtype(dtype):
          return cudf.core.dtypes.Decimal64Dtype
      elif cudf.api.types.is_decimal128_dtype(dtype):
          return cudf.core.dtypes.Decimal128Dtype
      elif dtype in cudf._lib.types.SUPPORTED_NUMPY_TO_LIBCUDF_TYPES:
          return dtype.type
  
      return infer_dtype_from_object(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 5 for calling a global function with example usage: cudf_dtype_from_pydata_dtype(dtype) and returns: infer_dtype_from_object, cudf, cudf, cudf, cudf, dtype