a j @sXddlZddlZddlmZz ddlZWney>dZYn0dddZd ddZdS) N)method_files_mapcs8|dur t}dur.tdur$tdtdtjsNtdddS|durrtddt nt |t t fs|g}|D]}t |sJ|j}||vrtd|dt |||}fd d |D}|D]N}tj|r td tj|d d |t|qtd|dqqdS)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_dirr;E:\soccer\ml_env\Lib\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 Z method_mapZdatasetZ dataset_name data_filesZdata_filepathsZ data_filepathrr r _clear_cache sD        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:sr")NN)N)rr _registryrrrr!r"rrrr s     /