
    kh                         d dl Zd dlZd dlmZ d dlmZmZmZm	Z	m
Z
 d dlZd dlmZ ddlmZmZ ddlmZ  G d d	e      Z G d
 de      Zy)    N)Path)AnyCallableOptionalTupleUnion)Image   )check_integritydownload_and_extract_archive)VisionDatasetc                        e Zd ZdZdZdZdZdZddgdd	gd
dgddgddggZddggZ	ddddZ
	 	 	 	 d%deeef   dedee   dee   deddf fdZd&dZdedeeef   fd Zdefd!Zdefd"Zd&d#Zdefd$Z xZS )'CIFAR10ab  `CIFAR10 <https://www.cs.toronto.edu/~kriz/cifar.html>`_ Dataset.

    Args:
        root (str or ``pathlib.Path``): Root directory of dataset where directory
            ``cifar-10-batches-py`` exists or will be saved to if download is set to True.
        train (bool, optional): If True, creates dataset from training set, otherwise
            creates from test set.
        transform (callable, optional): A function/transform that takes in a PIL image
            and returns a transformed version. E.g, ``transforms.RandomCrop``
        target_transform (callable, optional): A function/transform that takes in the
            target and transforms it.
        download (bool, optional): If true, downloads the dataset from the internet and
            puts it in root directory. If dataset is already downloaded, it is not
            downloaded again.

    zcifar-10-batches-pyz7https://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gzzcifar-10-python.tar.gz c58f30108f718f92721af3b95e74349adata_batch_1 c99cafc152244af753f735de768cd75fdata_batch_2 d4bba439e000b95fd0a9bffe97cbabecdata_batch_3 54ebc095f3ab1f0389bbae665268c751data_batch_4 634d18415352ddfa80567beed471001adata_batch_5 482c414d41f54cd18b22e5b47cb7c3cb
test_batch 40351d587109b95175f43aff81a1287ezbatches.metalabel_names 5ff9c542aee3614f3951f8cda6e48888filenamekeymd5Nroottrain	transformtarget_transformdownloadreturnc                 r   t         |   |||       || _        |r| j                          | j	                         st        d      | j                  r| j                  }n| j                  }g | _        g | _	        |D ]  \  }}t        j                  j                  | j                  | j                  |      }	t        |	d      5 }
t!        j"                  |
d      }| j                  j%                  |d          d|v r| j                  j'                  |d          n| j                  j'                  |d          d d d         t)        j*                  | j                        j-                  d	d
dd      | _        | j                  j/                  d      | _        | j1                          y # 1 sw Y   9xY w)N)r%   r&   zHDataset not found or corrupted. You can use download=True to download itrblatin1encodingdatalabelsfine_labels       )r      r2   r
   )super__init__r$   r'   _check_integrityRuntimeError
train_list	test_listr.   targetsospathjoinr#   base_folderopenpickleloadappendextendnpvstackreshape	transpose
_load_meta)selfr#   r$   r%   r&   r'   downloaded_list	file_namechecksum	file_pathfentry	__class__s               V/var/www/teggl/fontify/venv/lib/python3.12/site-packages/torchvision/datasets/cifar.pyr6   zCIFAR10.__init__4   sj    	EUV
MMO$$&ijj::"ooO"nnO	 $3 	>IxTYY0@0@)LIi& >!A9		  v/u$LL''h8LL''m(<=> >	> IIdii(00QB?	II''5	> >s   A7F,,F6	c                    t         j                  j                  | j                  | j                  | j
                  d         }t        || j
                  d         st        d      t        |d      5 }t        j                  |d      }|| j
                  d      | _        d d d        t        | j                        D ci c]  \  }}||
 c}}| _        y # 1 sw Y   8xY wc c}}w )Nr    r"   zVDataset metadata file not found or corrupted. You can use download=True to download itr*   r+   r,   r!   )r<   r=   r>   r#   r?   metar   r8   r@   rA   rB   classes	enumerateclass_to_idx)rJ   r=   infiler.   i_classs         rR   rI   zCIFAR10._load_meta_   s    ww||DIIt'7'7:9NOtTYYu%56wxx$ 	2;;v9D		% 01DL	2 9B$,,8OP91fVQYP	2 	2 Qs   3/CC%C"indexc                     | j                   |   | j                  |   }}t        j                  |      }| j                  | j	                  |      }| j
                  | j                  |      }||fS )z
        Args:
            index (int): Index

        Returns:
            tuple: (image, target) where target is index of the target class.
        )r.   r;   r	   	fromarrayr%   r&   )rJ   r[   imgtargets       rR   __getitem__zCIFAR10.__getitem__h   sm     ii&U(;V ooc">>%..%C  ,**62FF{    c                 ,    t        | j                        S )N)lenr.   rJ   s    rR   __len__zCIFAR10.__len__~   s    499~ra   c                     | j                   | j                  z   D ]H  \  }}t        j                  j	                  | j
                  | j                  |      }t        ||      rH y y)NFT)r9   r:   r<   r=   r>   r#   r?   r   )rJ   r    r"   fpaths       rR   r7   zCIFAR10._check_integrity   sT    !__t~~= 	MHcGGLLD,<,<hGE"5#.	 ra   c                     | j                         ry t        | j                  | j                  | j                  | j
                         y )N)r    r"   )r7   r   urlr#   r    tgz_md5rd   s    rR   r'   zCIFAR10.download   s2      "$TXXtyy4==VZVbVbcra   c                 0    | j                   du rdnd}d| S )NTTrainTestzSplit: )r$   )rJ   splits     rR   
extra_reprzCIFAR10.extra_repr   s!    ::-6  ra   )TNNF)r(   N)__name__
__module____qualname____doc__r?   ri   r    rj   r9   r:   rT   r   strr   boolr   r   r6   rI   intr   r   r`   re   r7   r'   ro   __classcell__)rQ   s   @rR   r   r      s"   " (K
CC'H0G	;<	;<	;<	;<	;<J 
9:I #1D (,/3)CI) ) H%	)
 #8,) ) 
)VQ sCx , $ d
!C !ra   r   c                   @    e Zd ZdZdZdZdZdZddggZdd	ggZ	d
dddZ
y)CIFAR100zy`CIFAR100 <https://www.cs.toronto.edu/~kriz/cifar.html>`_ Dataset.

    This is a subclass of the `CIFAR10` Dataset.
    zcifar-100-pythonz8https://www.cs.toronto.edu/~kriz/cifar-100-python.tar.gzzcifar-100-python.tar.gz eb9058c3a382ffc7106e4002c42a8d85r$    16019d7e3df5f24257cddd939b257f8dtest f0ef6b0ae62326f3e7ffdfab6717acfcrT   fine_label_names 7973b15100ade9c7d40fb424638fde48r   N)rp   rq   rr   rs   r?   ri   r    rj   r9   r:   rT    ra   rR   ry   ry      sQ    
 %K
DC(H0G	45J
 
34I !1Dra   ry   )os.pathr<   rA   pathlibr   typingr   r   r   r   r   numpyrE   PILr	   utilsr   r   visionr   r   ry   r   ra   rR   <module>r      s;       8 8   @ !B!m B!Jw ra   