[{'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:REGEX_ST_TYPE = re.compile(r\'\\b\\S+\\.?$\', re.IGNORECASE)\nREGEX_LOWER = re.compile(r\'^([a-z]|_)*$\')\nREGEX_LOWER_COLON = re.compile(r\'^([a-z]|_)*:([a-z]|_)*$\')\nREGEX_PROBLEMCHAR = re.compile(r\'[=\\+/&<>;\\\'"\\?%#$@\\,\\. \\t\\r\\n]\')\nst_types = defaultdict(set)\nstreet_type_re = re.compile(r\'\\b\\S+\\.?$\', re.IGNORECASE)\nstreet_types = defaultdict(set)\nexpected_street_types = ["Street", "Avenue", "Boulevard", "Drive", "Court", "Place", "Square", "Lane", "Road",\n"Trail", "Parkway", "Commons"]\n\'\'\'\nReference:  Udacity\n\'\'\'\ndef key_type(elem, keys):\nif elem.tag == "tag":\nk = elem.get(\'k\')\nif REGEX_LOWER.search(k):# tags that contain only lowercase letters and are valid\nif \'lower\' in keys:\nkeys[\'lower\'] += 1\nelse:\nkeys[\'lower\'] = 1\nelif REGEX_LOWER_COLON.search(k): # valid tags with a colon in their names\nif \'lower_colon\' in keys:\nkeys[\'lower_colon\'] += 1\nelse:\nkeys[\'lower_colon\'] = 1\nelif REGEX_PROBLEMCHAR.search(k): # tags with problematic characters\nif \'problemchars\' in keys:\nkeys[\'problemchars\'] += 1\nelse:\nkeys[\'problemchars\'] = 1\nelse:\nkeys[\'other\'] += 1\nreturn keys\ndef identify_problem_street_types(filename):\nkeys = {"lower": 0, "lower_colon": 0, "problemchars": 0, "other": 0}\nfor _, elem in ET.iterparse(filename):\nkeys = key_type(elem, keys)\nreturn keys\ndef print_problem_street_types():\nkeys = identify_problem_street_types(OSM_FILE)\npprint.pprint(keys)\nprint_problem_street_types()'}, {'role': 'assistant', 'content': "['data_exploration', 'data_preprocessing']"}]