[{'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:date = []\nfrom1 = []\nto1 = []\nsubject = []\ncc = []\ncontent = []\ndatestart = "\\nDate: "\ndateend = "\\nFrom: "\nfromstart = "\\nFrom: "\nfromend = "\\nTo: "\nfromend1 = "\\nSubject:"\ntostart = "\\nTo: "\ntoend = "\\nSubject: "\nsubjectstart = "\\nSubject: "\nsubjectend = "\\nCc: "\nsubjectend1 = "\\n"\nccstart = "\\nCc: "\nccend = "\\n"\nfor i in emails[\'message\']:\ns = i\ndate.append(s.split(datestart)[1].split(dateend)[0])\nif tostart in s:\nfrom1.append(s.split(fromstart)[1].split(fromend)[0])\nto1.append(s.split(tostart)[1].split(toend)[0])\nelse:\nfrom1.append(s.split(fromstart)[1].split(fromend1)[0])\nto1.append(\'NA\')\nif subjectend in s:\ncc.append(s.split(subjectend)[1].split(ccend)[0])\nsubject.append(s.split(subjectstart)[1].split(subjectend)[0])\nelse:\nsubject.append(s.split(subjectstart)[1].split(subjectend1)[0])\ncc.append(\'NA\')\ncontentstart = "\\n\\n"\ncontentend = "-----Original Message-----"\ny = []\nfor i in emails[\'message\']:\nif contentend in i:\ny.append(i.split(contentstart, 1)[1].split(contentend)[0])\nelse:\ny.append(i.split(contentstart, 1)[1])\ncontentstart1 = "\\nSubject:"\ncontentend1 = "---------------------- Forwarded by"\nz = []\nfor i in y:\nif contentstart1 in i:\nif contentend1 in i:\nz.append(i.split(contentstart1)[1].split(contentend1)[0])\nelse:\nz.append(i)\nelse:\nz.append(i)\nemails[\'date\'] = date\ndatefinal = []\nfor i in emails[\'date\']:\ndatefinal.append(i.rsplit(None,3)[0].rsplit(\',\')[1])\nemails[\'date\'] = datefinal\ndatetimefinal = pd.to_datetime(emails[\'date\'], format = "%d/%m/%Y", infer_datetime_format = True)\nemails[\'date\'] = datetimefinal\nemails[\'from\'] = from1\nemails[\'to\'] = to1\nemails[\'subject\'] = subject\nemails[\'content\'] = z\nemails[\'cc\'] = cc\nemails[\'user\'] = emails[\'file\'].map(lambda x:x.split(\'/\')[0])\nemails = emails.drop([\'message\'], axis=1)\nemails = emails.drop([\'file\'],axis=1)'}, {'role': 'assistant', 'content': "['data_preprocessing']"}]