code: def get_min_float_dtype(col):
      max_bound_dtype = np.min_scalar_type(float(col.max()))
      min_bound_dtype = np.min_scalar_type(float(col.min()))
      result_type = np.promote_types(
          "float32", np.promote_types(max_bound_dtype, min_bound_dtype)
      )
      return cudf.dtype(result_type)
  
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 15 for calling a global function with example usage: get_min_float_dtype(col) and returns: cudf