ó
    pñ:i–  ã                   óZ   • S SK r S SKrSSKJr   S SKrSS jrSS jrg! \ a    Sr Nf = f)é    Né   )Úmethod_files_mapc           
      óŠ  • Uc  [         nUc(  [        c  [        S5      e[        R                  " S5      n[        R
                  R                  U5      (       d  [        SU S35        g U c&  [        SU S35        [        R                  " U5        g [        U [        [        -  5      (       d  U /n U  GH  n[        U5      (       d   eUR                  nXB;  a(  [        SU S[        UR!                  5       5       35      eX$   nU Vs/ s H"  n[        R
                  R#                  X5      PM$     nnU H  n[        R
                  R                  U5      (       aI  [        S	[        R
                  R%                  U5      S
    SU 35        [        R&                  " U5        Mp  [        SU S35        M�     GM
     g s  snf )NzsMissing optional dependency 'pooch' required for scipy.datasets module. Please use pip or conda to install 'pooch'.z
scipy-datazCache Directory z! doesn't exist. Nothing to clear.zCleaning the cache directory Ú!zDataset method za doesn't exist. Please check if the passed dataset is a subset of the following dataset methods: zCleaning the file r   z for dataset zPath )r   ÚplatformdirsÚImportErrorÚuser_cache_dirÚosÚpathÚexistsÚprintÚshutilÚrmtreeÚ
isinstanceÚlistÚtupleÚcallableÚ__name__Ú
ValueErrorÚkeysÚjoinÚsplitÚremove)	ÚdatasetsÚ	cache_dirÚ
method_mapÚdatasetÚdataset_nameÚ
data_filesÚfileÚdata_filepathsÚdata_filepaths	            ÚX/srv/projetos/modelo_ml_acdoc/venv/lib/python3.13/site-packages/scipy/datasets/_utils.pyÚ_clear_cacher$      s´  € ØÑä%ˆ
ØÑäÑäð :ó ;ð ;ô !×/Ò/°Ó=ˆ	ä�7‰7�>‰>˜)×$Ñ$ÜÐ   Ð+LÐMÔNØàÑÜÐ-¨i¨[¸Ð:Ô;Ü�Š�iÕ ä˜(¤D¬5¡L×1Ñ1à �|ˆHÜˆGÜ˜G×$Ñ$Ð$Ð$Ø"×+Ñ+ˆLØÓ-Ü  ?°<°.ð A-ô .2°*·/±/Ó2CÓ-DÐ,Eð"Gó Hð Hð
 $Ñ1ˆJá*4ó6Ú*4 $ô !Ÿg™gŸl™l¨9Ö;Ù*4ð ð 6ã!/�Ü—7‘7—>‘> -×0Ñ0ÜÐ.ÜŸW™WŸ]™]¨=Ó9¸!Ñ<Ð=ð >)Ø)5¨ð8ô 9ô —I’I˜mÖ,ä˜E - ð 1.ð .ö /ô "0ò  ùò6s   Ä
)G c                 ó   • [        U 5        g)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$   )r   s    r#   Úclear_cacher&   :   s   € ô. �Õó    )NN)N)r
   r   Ú	_registryr   r   r   r$   r&   © r'   r#   Ú<module>r*      s8   ðÛ 	Û Ý 'ðÛô
,/õ^øðg ó Ø‚Lðús   � Ÿ*©*