code: def gpu_load_names(col_names_path, **kwargs):
      """Loads names used for renaming the banks
  
      Returns
      -------
      GPU DataFrame
      """
      chronometer = Chronometer.makeStarted()
  
      cols = ["seller_name", "new_seller_name"]
  
      dtypes = OrderedDict(
          [
              ("seller_name", "category"),
              ("new_seller_name", "category"),
          ]
      )
      new = col_names_path + "names.load"
      print(new)
      names_table = pyblazing.create_table(
          table_name="names",
          type=get_type_schema(new),
          path=new,
          delimiter="|",
          names=cols,
          dtypes=dtypes,  # TODO: dtypes=get_dtype_values(dtypes)
          skip_rows=1,
      )
      Chronometer.show(chronometer, "Read Names CSV")
      return names_table
  
imports: import os
  import re
  import tempfile
  from collections import OrderedDict
  from os import listdir
  from os.path import isdir
  import glob
  from enum import IntEnum, unique
  import cudf
  import dask_cudf
  import numpy
  import pandas
  import pyblazing
  from blazingsql import DataType
  from pyhive import hive
  from Configuration import Settings
  from DemoTest.chronometer import Chronometer
label_desc: Use image node_id 27 for calling a global function with example usage: gpu_load_names(col_names_path) and returns: names_table