[{'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:h5store = '../data/hf5/small_hexagonal.hf5'\ndatasets = hdf5.load_datasets(h5store, data_names=['face', 'vert', 'edge'])\nspecs = config.geometry.cylindrical_sheet()\nsheet = Sheet('emin', datasets, specs)\ngeom.update_all(sheet)\nnondim_specs = config.dynamics.quasistatic_sheet_spec()\ndim_model_specs = model.dimentionalize(nondim_specs)\nsheet.update_specs(dim_model_specs, reset=True)\nisotropic_relax(sheet, nondim_specs)\nsolver_settings = {\n'minimize': {\n'options': {'disp':True,\n'gtol':1e-4},\n}\n}\nlive_edge = sheet.upcast_face(sheet.face_df.is_alive).astype(np.bool)\ndead_edge = np.logical_not(live_edge)\ninactive_verts = set(sheet.edge_df[dead_edge].srce)\nactive_verts = set(sheet.vert_df.index).difference(inactive_verts)\nactive_verts = list(active_verts)\nsheet.vert_df.is_active = 0\nsheet.vert_df.loc[active_verts, 'is_active'] = 1\nfig, ax = quick_edge_draw(sheet, ['z', 'x'])"}, {'role': 'assistant', 'content': 'load_data'}]