[{'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:import re\nimport pandas\nimport warnings\nmyfile = \'your_input_file_here.txt\'\ntarget_type = str  # The desired output type\nwith warnings.catch_warnings(record=True) as ws:\nwarnings.simplefilter("always")\nmydata = pandas.read_csv(myfile, sep="|", header=None)\nprint("Warnings raised:", ws)\nfor w in ws:\ns = str(w.message)\nprint("Warning message:", s)\nmatch = re.search(r"Columns \\(([0-9,]+)\\) have mixed types\\.", s)\nif match:\ncolumns = match.group(1).split(\',\') # Get columns as a list\ncolumns = [int(c) for c in columns]\nprint("Applying %s dtype to columns:" % target_type, columns)\nmydata.iloc[:,columns] = mydata.iloc[:,columns].astype(target_type)'}, {'role': 'assistant', 'content': "['helper_functions', 'load_data', 'data_preprocessing']"}]