code: def __get_data_type(pandas_data_type) -> DataType:
      if pandas_data_type in {"int64", "Int64", "int"}:
          return DataType.INT
      elif pandas_data_type in {"float64", "Float64", "float"}:
          return DataType.DECIMAL
      else:
          return DataType.STRING
  
file_path: upgini/src/upgini/ads.py
imports: import logging
  import tempfile
  from pathlib import Path
  from typing import Dict, Optional
  import numpy
  import pandas
  from pandas.api.types import is_string_dtype
  from upgini import SearchKey
  from upgini.http import get_rest_client
  from upgini.metadata import DataType, FileColumnMeaningType, FileColumnMetadata, FileMetadata
  from upgini.resource_bundle import bundle
label_desc: Use image node_id 2 for calling a global function with example usage: __get_data_type(pandas_data_type) and returns: DataType, DataType, DataType