[{'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:cwd = os.getcwd()\nloadpath = cwd + "/data/data_gray.npz"\nl = np.load(loadpath)\nprint(l.files)\ntrainimg = l[\'trainimg\']\ntrainlabel = l[\'trainlabel\']\ntestimg = l[\'testimg\']\ntestlabel = l[\'testlabel\']\nimgsize = l[\'imgsize\']\nntrain = trainimg.shape[0]\nnclass = trainlabel.shape[1]\ndim    = trainimg.shape[1]\nntest  = testimg.shape[0]\nprint("%d train images loaded" % (ntrain))\nprint("%d test images loaded" % (ntest))\nprint("%d dimensional input" % (dim))\nprint("Image size is %s" % (imgsize))\nprint("%d classes" % (nclass))'}, {'role': 'assistant', 'content': "['load_data', 'data_exploration']"}]