code: def data_loader_csv(data_path):
      data_inputs = []
  
      with open(data_path, "r+") as fo:
          all_lines = csv.reader(fo)
          for line in list(all_lines)[1:]:
              data_inputs.append(
                  {
                      "x": line[-1],
                      "y": "positive"
                      if int(line[1]) == 1
                      else "negative",
                  }
              )
  
      random.shuffle(data_inputs)
      return data_inputs
  
file_path: textflint/textflint/input/model/test_model/model_helper.py
imports: import os
  import json
  import csv
  import random
  import numpy
  import torch
label_desc: Use image node_id 2 for calling a global function with example usage: data_loader_csv(data_path) and returns: data_inputs