code: def numeric_normalize_types(*args):
      """Cast all args to a common type using numpy promotion logic"""
      dtype = np.result_type(*[a.dtype for a in args])
      return [a.astype(dtype) for a in args]
  
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 3 for calling a global function with example usage: numeric_normalize_types() and returns: unknown