[{'role': 'system', 'content': "You are an expert in machine learning and your task is to classify code snippets into one of the following categories: ['helper_functions', 'load_data', 'data_exploration', 'data_preprocessing', 'evaluation', 'modelling', 'prediction', 'result_visualization', 'save_results', 'comment_only']."}, {'role': 'user', 'content': "Identify the single most appropriate category to which the provided code belongs. Provide your response as a single category label without any additional information, commentary, or personal opinions.\\nPython Code:track_totnbins_32 = np.unique(mpt_total_data_32) # largest MTP order\nclean_uevent_nb_32 = [] # CLEAN event cut\ntag_cut_list_32 = [] # List of 'CLEAN' event cuts\nfor nb_total_tracks in track_totnbins_32: # Get cut lists\ncut_nb_track_n = (mpt_total_data_32==nb_total_tracks) # Figure out number of unique events left over with actual N total tracks\ncut_n = cut_base_32 & cut_nb_track_n\nuid_n_cut = uid_data_32[cut_n]\nu_temp,idx_temp,counts_temp = np.unique(uid_n_cut,return_inverse=True,return_counts=True)\nnb_cut_temp = (counts_temp==nb_total_tracks)\nclean_uevent_nb_32.append(sum(nb_cut_temp))\nbig_cut = nb_cut_temp[idx_temp] # Save cuts to be use for tagging\ntag_cut_list_32.append(big_cut)\nclean1_32 = tag_cut_list_32[0] # 1-track total\nclean2_32 = tag_cut_list_32[1] # 2-track total\nclean3_32 = tag_cut_list_32[2] # 3-track total\nfdata1_32 = fdata1_32[clean1_32]\nfdata2_32 = fdata2_32[clean2_32]\nfdata3_32 = fdata3_32[clean3_32]\nsdata1_32 = sdata1_32[clean1_32]\nsdata2_32 = sdata2_32[clean2_32]\nsdata3_32 = sdata3_32[clean3_32]\npdata1_32 = pdata1_32[clean1_32]\npdata2_32 = pdata2_32[clean2_32]\npdata3_32 = pdata3_32[clean3_32]\norderf_data1_32 = orderf_data1_32[clean1_32]\norderf_data2_32 = orderf_data2_32[clean2_32]\norderf_data3_32 = orderf_data3_32[clean3_32]\nuid_data1_32 = uid_data1_32[clean1_32]\nuid_data2_32 = uid_data2_32[clean2_32]\nuid_data3_32 = uid_data3_32[clean3_32]\nedata1_32 = edata1_32[clean1_32]\nedata2_32 = edata2_32[clean2_32]\nedata3_32 = edata3_32[clean3_32]"}, {'role': 'assistant', 'content': 'data_preprocessing'}]