code: def get_dtypes(table_name, bool_column=False, interval_column=False):
      switcher = {
          "customer": [
              "int32",
              "str",
              "str",
              "int32",
              "str",
              "float64",
              "str",
              "str",
          ],
          "region": ["int32", "str", "str"],
          "nation": ["int32", "str", "int32", "str"],
          "lineitem": [
              "int64",
              "int64",
              "int64",
              "int32",
              "float64",
              "float64",
              "float64",
              "float64",
              "str",
              "str",
              "date64",
              "date64",
              "date64",
              "str",
              "str",
              "str",
          ],
          "orders": [
              "int64",
              "int32",
              "str",
              "float64",
              "date64",
              "str",
              "str",
              "int32",
              "str",
          ],
          "supplier": [
              "int64",
              "str",
              "str",
              "int32",
              "str",
              "float64",
              "str",
          ],
          "part": [
              "int64",
              "str",
              "str",
              "str",
              "str",
              "int64",
              "str",
              "float32",
              "str",
          ],
          "partsupp": ["int64", "int64", "int64", "float32", "str"],
      }
  
      if bool_column:
          switcher.update(
              {
                  "bool_orders": [
                      "int64",
                      "int32",
                      "str",
                      "float64",
                      "date64",
                      "str",
                      "str",
                      "str",
                      "str",
                      "boolean",
                  ]
              }
          )
  
      if interval_column:
          switcher.update(
              {
                  "interval_table": [
                      "int32",
                      "timedelta64[s]",
                      "timedelta64[ms]",
                  ]
              }
          )
  
      # Get the function from switcher dictionary
      func = switcher.get(table_name, "nothing")
      # Execute the function
      return func
  
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 14 for calling a global function with example usage: get_dtypes(table_name, bool_column, interval_column) and returns: func