code: def get_dtypes_pandas(table_name):
      switcher = {
          "customer": {
              "c_custkey": "int64",
              "c_name": "str",
              "c_address": "str",
              "c_nationkey": "int64",
              "c_phone": "str",
              "c_acctbal": "float64",
              "c_mktsegment": "str",
              "c_comment": "str",
          },
          "region": {
              "r_regionkey": "int64",
              "r_name": "str",
              "r_comment": "str",
          },
          "nation": {
              "n_nationkey": "int64",
              "n_name": "str",
              "n_regionkey": "int64",
              "n_comment": "str",
          },
          "lineitem": {
              "l_orderkey": "int64",
              "l_partkey": "int64",
              "l_suppkey": "int64",
              "l_linenumber": "int64",
              "l_quantity": "float64",
              "l_extendedprice": "float64",
              "l_discount": "float64",
              "l_tax": "float64",
              "l_returnflag": "str",
              "l_linestatus": "str",
              "l_shipdatetime64": "datetime64",
              "l_commitdatetime64": "datetime64",
              "l_receiptdatetime64": "datetime64",
              "l_shipinstruct": "str",
              "l_shipmode": "str",
              "l_comment": "str",
          },
          "orders": {
              "o_orderkey": "int64",
              "o_custkey": "int64",
              "o_orderstatus": "str",
              "o_totalprice": "float64",
              "o_orderdatetime64": "datetime64",
              "o_orderpriority": "str",
              "o_clerk": "str",
              "o_shippriority": "int64",
              "o_comment": "str",
          },
          "supplier": {
              "s_suppkey": "int64",
              "s_name": "str",
              "s_address": "str",
              "s_nationkey": "int64",
              "s_phone": "str",
              "s_acctbal": "float64",
              "s_comment": "str",
          },
          "part": {
              "p_partkey": "int64",
              "p_name": "str",
              "p_mfgr": "str",
              "p_brand": "str",
              "p_type": "str",
              "p_size": "int64",
              "p_container": "str",
              "p_retailprice": "float64",
              "p_comment": "str",
          },
          "partsupp": {
              "ps_partkey": "int64",
              "ps_suppkey": "int64",
              "ps_availqty": "int64",
              "ps_supplycost": "float64",
              "ps_comment": "str",
          },
      }
  
      # 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 15 for calling a global function with example usage: get_dtypes_pandas(table_name) and returns: func