code: def _maybe_convert_to_default_type(dtype):
      """Convert `dtype` to default if specified by user.
  
      If not specified, return as is.
      """
      if cudf.get_option("default_integer_bitwidth"):
          if cudf.api.types.is_signed_integer_dtype(dtype):
              return cudf.dtype(
                  f'i{cudf.get_option("default_integer_bitwidth")//8}'
              )
          elif cudf.api.types.is_unsigned_integer_dtype(dtype):
              return cudf.dtype(
                  f'u{cudf.get_option("default_integer_bitwidth")//8}'
              )
      if cudf.get_option(
          "default_float_bitwidth"
      ) and cudf.api.types.is_float_dtype(dtype):
          return cudf.dtype(
              f'f{cudf.get_option("default_float_bitwidth")//8}'
          )
  
      return 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 23 for calling a global function with example usage: _maybe_convert_to_default_type(dtype) and returns: dtype, cudf, cudf, cudf