code: def get_default_field_name(data_type=DataType.FLOAT_VECTOR):
      """Return field name according to data type"""
      if data_type == DataType.FLOAT_VECTOR:
          field_name = DEFAULT_F_FIELD_NAME
      elif data_type == DataType.BINARY_VECTOR:
          field_name = DEFAULT_B_FIELD_NAME
      elif data_type == DataType.INT64:
          field_name = DEFAULT_INT_FIELD_NAME
      elif data_type == DataType.FLOAT:
          field_name = DEFAULT_FLOAT_FIELD_NAME
      else:
          logger.error(data_type)
          raise Exception("Not supported data type")
      return field_name
  
imports: import os
  import logging
  import numpy
  import sklearn.preprocessing
  import h5py
  import random
  from itertools import product
  from pymilvus import DataType
  from milvus_benchmark import config
label_desc: Use image node_id 8 for calling a global function with example usage: get_default_field_name(data_type) and returns: field_name