[{'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:ATTRIBUTES = ['shop', 'building']\ndef count_types(f):\ntypes = {}\nfor a in ATTRIBUTES:\ntypes[a] = {}\nfor ev, elem in xET.iterparse(f):\ntag = elem.tag\nif elem.tag == 'way':\nfor t in elem.iter('tag'):\nif t.attrib['k'] == a:\nif t.attrib['v'] not in types[a].keys():\ntypes[a][t.attrib['v']] = 1\nelse:\ntypes[a][t.attrib['v']] = types[a][t.attrib['v']] + 1\nreturn types\ndef get_type_count():\ntypes = count_types(SAMPLE_NAME)\nprint(types)\nget_type_count()"}, {'role': 'assistant', 'content': "['data_exploration']"}]