[{'role': 'system', 'content': "You are an expert in machine learning and your task is to classify code snippets into one of the following categories: ['helper_functions', 'load_data', 'data_exploration', 'data_preprocessing', 'evaluation', 'modelling', 'prediction', 'result_visualization', 'save_results', 'comment_only']."}, {'role': 'user', 'content': "Identify the single most appropriate category to which the provided code belongs. Provide your response as a single category label without any additional information, commentary, or personal opinions.\\nPython Code:import cv2                 # working with, mainly resizing, images<br>import numpy as np         # dealing with arrays<br>import os                  # dealing with directories<br>from random import shuffle # mixing up or currently ordered data that might lead our network astray in training.<br>from tqdm import tqdm      # a nice pretty percentage bar for tasks. Thanks to viewer Daniel Bhler for this suggestion<br><br>TRAIN_DIR = '../input/train'<br>TEST_DIR = '../input/test'<br>IMG_SIZE = 50<br>LR = 1e-3<br><br>MODEL_NAME = 'dogsvscats-{}-{}.model'.format(LR, '2conv-basic') # just so we remember which saved model is which, sizes must match"}, {'role': 'assistant', 'content': 'helper_functions'}]