[{'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:mask_fn = datadir+'mask.fits'\nimg_head, img, mask, var = hugs.imtools.open_fits(img_fn)\nphot_mask = hugs.phot.make_phot_mask(\nimg, 1.5, 100, mask=mask, grow_obj=3., grow_sig=6, mask_thresh=0.02, obj_rmin=20,\nsep_extract_params={'deblend_nthresh': 16, 'deblend_cont': 0.001, 'minarea': 5},\nout_fn=mask_fn)\nhugs.phot.viz.overlay_mask(img, phot_mask, figsize=(7,7))"}, {'role': 'assistant', 'content': "['load_data', 'data_exploration']"}]