[{'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:MJTCP = 32292 #Michael Jordan total career points\n#for each column in dataset creates N column with random integers\ndef assign_rnd_integer(dataset, number_of_times = 5, seed = MJTCP):\n    new_dataset = pd.DataFrame()\n    np.random.seed(seed)\n    for c in dataset.columns:\n        for i in range(number_of_times):\n            col_name = c+"_"+str(i)\n            unique_vals = dataset[c].unique()\n            labels = np.array(list(range(len(unique_vals))))\n            np.random.shuffle(labels)\n            mapping = pd.DataFrame({c: unique_vals, col_name: labels})\n            new_dataset[col_name] = (dataset[[c]]\n                                     .merge(mapping, on = c, how = \'left\')[col_name]\n                                    ).values\n    return new_dataset\''}, {'role': 'assistant', 'content': "['data_preprocessing']"}]