[{'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:def prepare_data(list_of_images):<br>    """<br>    Returns two arrays: <br>        x is an array of resized images<br>        y is an array of labels<br>    """<br>    x = [] # images as arrays<br>    y = [] # labels<br>    <br>    for image in list_of_images:<br>        x.append(cv2.resize(cv2.imread(image), (img_width,img_height), interpolation=cv2.INTER_CUBIC))<br>    <br>    for i in list_of_images:<br>        if \'dog\' in i:<br>            y.append(1)<br>        elif \'cat\' in i:<br>            y.append(0)<br>        #else:<br>            #print(\'neither cat nor dog name present in images\')<br>            <br>    return x, y'}, {'role': 'assistant', 'content': 'data_preprocessing'}]