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Editing: _utils.cpython-311.pyc
� d�cb � �X � d dl Z d dlZddlmZ d dlZn # e$ r dZY nw xY wdd�Zdd�ZdS )� N� )�method_files_mapc �L �� |�t }��*t �t d� � �t j d� � �t j � �� � st d�� d�� � d S | �)t d�� d�� � t j �� � d S t | t t f� � s| g} | D ]�}t |� � sJ �|j }||vr4t d|� dt |� � � � � � �� � �|| }�fd �|D � � }|D ]�}t j � |� � rMt d t j � |� � d � d |� �� � t j |� � �nt d |� d�� � ����d S )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.z Cleaning the cache directory �!zDataset method za doesn't exist. Please check if the passed dataset is a subset of the following dataset methods: c �P �� g | ]"}t j � �|� � ��#S � )�os�path�join)�.0�file� cache_dirs ��7/usr/lib/python3/dist-packages/scipy/datasets/_utils.py� <listcomp>z _clear_cache.<locals>.<listcomp>- s9 �� � 6� 6� 6�"&� !�g�l�l�9�d� ;� ;� 6� 6� 6� zCleaning the file r z for dataset zPath )r �appdirs� ImportError�user_cache_dirr r �exists�print�shutil�rmtree� isinstance�list�tuple�callable�__name__� ValueError�keys�split�remove)�datasetsr � method_map�dataset� dataset_name� data_files�data_filepaths� data_filepaths ` r � _clear_cacher) s: �� ���%� ��� �?� � :� ;� ;� ;� �*�<�8�8� � �7�>�>�)� $� $� � �M��M�M�M�N�N�N����� �:�i�:�:�:�;�;�;�� �i� � � � � ��(�T�5�M�2�2� $� �|�H� � /� /�G��G�$�$� $� $� $�"�+�L��:�-�-� � "G�<� "G� "G� .2�*�/�/�2C�2C�-D�-D�"G� "G� H� H� H� $�L�1�J� 6� 6� 6� 6�*4� 6� 6� 6�N�!/� /� /� ��7�>�>�-�0�0� /�� 8� �W�]�]�=� 9� 9�!� <�8� 8�)5�8� 8� 9� 9� 9� �I�m�,�,�,�,�� .�-� .� .� .� /� /� /� /� /� /� /r c �$ � 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) )r" s r � clear_cacher+ : s � �. ������r )NN)N)r r � _registryr r r r) r+ r r r �<module>r- s� �� � � � � � � � � '� '� '� '� '� '���N�N�N�N��� � � ��G�G�G�����,/� ,/� ,/� ,/�^� � � � � s � � �
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