[{'role': 'system', 'content': "You are an expert in machine learning and your task is to classify the code snippets into categories from the provided list of categories. List of categories: ['helper_functions', 'load_data', 'data_exploration', 'data_preprocessing', 'evaluation', 'modelling', 'prediction', 'result_visualization', 'save_results', 'comment_only']"}, {'role': 'user', 'content': 'Identify to which category the provided code belongs and assign the code snippet to at least 1 but up to 5 categories based on the probabilities, ignore if the probability of the category is negligible. Strictly provide your response as a list. Avoid providing any additional information, commentary, or personal opinions.\\nPython Code:########importing test file\ndata=[]\ninput_file_names=[]\n\n#####get the file names of the images to read them one by one\nfor (dirpath, dirnames, filenames) in walk("../input/dogs-vs-cats-redux-kernels-edition/test/"):\n    input_file_names=filenames\n\nfor x in input_file_names:\n    img_file_name=x##getting name of the image file\n    path=str("../input/dogs-vs-cats-redux-kernels-edition/test/"+img_file_name)####making proper path of the image file\n    i=image.load_img(path)####reading the image from the path \n    i=i.resize((120,120))#####resizing the image \n    iarray=image.img_to_array(i)####converting it to arrau\n    data.append(iarray)#####appending the image to the list'}, {'role': 'assistant', 'content': "['helper_functions', 'comment_only']"}]