+ LV-j ^RIt^RIt^RIHt^RIHt^RItRRlt]!RR7R Rl4t R# ]dRtL#i;i) N)method_files_map)xp_capabilitiesc Vf\pVf*\f \R4h\P!R4p\P P V4'g\RV R24R#Vf(\RV R24\P!V4R#\V\\,4'gV.pVEFp\V4'gQhVPpWB9d)\RV R\VP!44 24hW$,pVUu.uF"p\P P#W4NK$ ppVFp\P P V4'dN\R \P P%V4^, R V 24\P&!V4Ku\R V R24K EK R#uupi) 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: zCleaning the file z for dataset zPath )r platformdirs ImportErroruser_cache_dirospathexistsprintshutilrmtree isinstancelisttuplecallable__name__ ValueErrorkeysjoinsplitremove) datasets cache_dir method_mapdataset dataset_name data_filesfiledata_filepaths data_filepaths &&& f/Volumes/fast/ai/experiments/ui-tars-smoke/.venv/lib/python3.14/site-packages/scipy/datasets/_utils.py _clear_cacher$ s%   :; ;!// = 77>>) $ $   +LMN -i[:; i (D5L11 |HGG$$ $$"++L- ?<.A-.2*//2C-D,E"GHH $1J*46*4$!ggll9;*4 6!/ 77>>-00.WW]]=9!<=>))589IIm,E-1../"0 6s(GT) out_of_scopec\V4R#)a' 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$)rs&r# clear_cacher'<s 0)NN)N) r r _registryrscipy._lib._array_apirrrr$r'r(r#r,sO '1 ,/^d#$iLs 2 >>