o \h @sXddlZddlZddlmZzddlZWn eydZYnwdddZd ddZdS) N)method_files_mapcs8|durt}durtdurtdtdtjs'tdddS|dur:tddt dSt |t t fsD|g}|D]S}t |sNJ|j}||vrctd|dt |||}fd d |D}|D]&}tj|rtd tj|d d |t|qrtd|dqrqFdS)NzsMissing optional dependency 'pooch' required for scipy.datasets module. Please use pip or conda to install 'pooch'.z scipy-datazCache Directory z! doesn't exist. Nothing to clear.zCleaning the cache directory !zDataset method za doesn't exist. Please check if the passed dataset is a subset of the following dataset methods: csg|] }tj|qS)ospathjoin).0file cache_dirrX/home/air/segue/gemini/backup/venv/lib/python3.10/site-packages/scipy/datasets/_utils.py -sz _clear_cache..zCleaning the file rz for dataset zPath )r platformdirs ImportErroruser_cache_dirrrexistsprintshutilrmtree isinstancelisttuplecallable__name__ ValueErrorkeyssplitremove)datasetsr method_mapdataset dataset_name data_filesdata_filepaths data_filepathrr r _clear_cache sH        r&cCs t|dS)ak Cleans the scipy datasets cache directory. If a scipy.datasets method or a list/tuple of the same is provided, then clear_cache removes all the data files associated to the passed dataset method callable(s). By default, it removes all the cached data files. Parameters ---------- datasets : callable or list/tuple of callable or None Examples -------- >>> from scipy import datasets >>> ascent_array = datasets.ascent() >>> ascent_array.shape (512, 512) >>> datasets.clear_cache([datasets.ascent]) Cleaning the file ascent.dat for dataset ascent N)r&)rrrr clear_cache:s r')NN)N)rr _registryrrrr&r'rrrr s    /