
    kh                         d dl mZ d dlmZ d dlmZmZmZmZm	Z	m
Z
 d dlmZ ddlmZmZmZmZ ddlmZ  G d d	e      Zy
)    )join)Path)AnyCallableListOptionalTupleUnion)Image   )check_integritydownload_and_extract_archivelist_dir
list_files)VisionDatasetc                        e Zd ZdZdZdZdddZ	 	 	 	 	 ddeee	f   d	e
d
ee   dee   de
deeeee	f   gef      ddf fdZdefdZdedeeef   fdZde
fdZddZdefdZ xZS )Omniglota  `Omniglot <https://github.com/brendenlake/omniglot>`_ Dataset.

    Args:
        root (str or ``pathlib.Path``): Root directory of dataset where directory
            ``omniglot-py`` exists.
        background (bool, optional): If True, creates dataset from the "background" set, otherwise
            creates from the "evaluation" set. This terminology is defined by the authors.
        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 zip files from the internet and
            puts it in root directory. If the zip files are already downloaded, they are not
            downloaded again.
        loader (callable, optional): A function to load an image given its path.
            By default, it uses PIL as its image loader, but users could also pass in
            ``torchvision.io.decode_image`` for decoding image data into tensors directly.
    zomniglot-pyzDhttps://raw.githubusercontent.com/brendenlake/omniglot/master/python 68d2efa1b9178cc56df9314c21c6e718 6b91aef0f799c5bb55b94e3f2daec811)images_backgroundimages_evaluationNroot
background	transformtarget_transformdownloadloaderreturnc                     t         
   t        | j                        ||       | _        |r j                           j                         st        d      t         j                   j                                _
        t         j                         _        t         fd j                  D        g        _        t         j                        D 	cg c]5  \  }}t!        t         j                  |      d      D 	cg c]  }	|	|f c}	7 c}	}} _        t         j"                  g        _        | _        y c c}	w c c}	}}w )N)r   r   zHDataset not found or corrupted. You can use download=True to download itc              3      K   | ];  }t        t        j                  |            D cg c]  }t        ||       c} = y c c}w wN)r   r   target_folder).0acselfs      Y/var/www/teggl/fontify/venv/lib/python3.12/site-packages/torchvision/datasets/omniglot.py	<genexpr>z$Omniglot.__init__.<locals>.<genexpr>;   s7     bQ(40B0BA+F"GHQd1ajHbHs   &A	AA	z.png)super__init__r   folderr   r   _check_integrityRuntimeErrorr   _get_target_folderr"   r   
_alphabetssum_characters	enumerater   _character_images_flat_character_imagesr   )r&   r   r   r   r   r   r   idx	characterimage	__class__s   `         r'   r*   zOmniglot.__init__&   s    	dDKK0IXhi$MMO$$&ijj!$))T-D-D-FG"4#5#56&)bRVRaRabdf'

 #,D,<,<"="
 "
Y (2$t7I7I92UW]'^_eeS\_"
 >AAWAWY[=\#	 `"
s   *E	EE	E	c                 ,    t        | j                        S r!   )lenr4   r&   s    r'   __len__zOmniglot.__len__D   s    4..//    indexc                 p   | j                   |   \  }}t        | j                  | j                  |   |      }| j                  &t        j                  |d      j                  d      n| j	                  |      }| j                  r| j                  |      }| j                  r| j                  |      }||fS )z
        Args:
            index (int): Index

        Returns:
            tuple: (image, target) where target is index of the target character class.
        r)modeL)
r4   r   r"   r1   r   r   openconvertr   r   )r&   r>   
image_namecharacter_class
image_pathr7   s         r'   __getitem__zOmniglot.__getitem__G   s     '+&A&A%&H#
O$,,d.>.>.OQ[\
AEAT

:C088=Z^ZeZefpZq>>NN5)E  "33ODOo%%r=   c                     | j                         }t        t        | j                  |dz         | j                  |         syy)N.zipFT)r.   r   r   r   zips_md5)r&   zip_filenames     r'   r,   zOmniglot._check_integrity[   s:    ..0tDII|f/DEt}}UaGbcr=   c                     | j                         ry | j                         }|dz   }| j                  dz   |z   }t        || j                  || j
                  |          y )NrJ   /)filenamemd5)r,   r.   download_url_prefixr   r   rK   )r&   rO   rL   urls       r'   r   zOmniglot.downloada   s]      "**,&(&&,|;$S$))lPTP]P]^fPghr=   c                 "    | j                   rdS dS )Nr   r   )r   r;   s    r'   r.   zOmniglot._get_target_folderj   s    &*oo"N;NNr=   )TNNFN)r   N)__name__
__module____qualname____doc__r+   rQ   rK   r
   strr   boolr   r   r   r*   intr<   r	   rH   r,   r   r.   __classcell__)r8   s   @r'   r   r      s    & F`??H  (,/3>BCI  H%	
 #8,  5d#3"4c"9:; 
<0 0& &sCx &($ iOC Or=   r   N)os.pathr   pathlibr   typingr   r   r   r   r	   r
   PILr   utilsr   r   r   r   visionr   r    r=   r'   <module>rc      s-      > >  V V !`O} `Or=   