o
    Vh                     @   s|   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	 d	eZd
S )    join)Path)AnyCallableListOptionalTupleUnion)Image   )check_integritydownload_and_extract_archivelist_dir
list_files)VisionDatasetc                       s   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dZdefddZdedeeef fddZde
fddZdddZdefddZ  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_evaluationTNFroot
background	transformtarget_transformdownloadloaderreturnc                    s   t  jt| j||d | _|r     stdt j 	  _
t j
 _t fdd jD g  _ fddt jD  _t jg  _| _d S )N)r   r   zHDataset not found or corrupted. You can use download=True to download itc                 3   s.    | ]  fd dt tj D V  qdS )c                    s   g | ]}t  |qS  r   ).0car   Q/var/www/vscode/kcb/lib/python3.10/site-packages/torchvision/datasets/omniglot.py
<listcomp>;   s    z/Omniglot.__init__.<locals>.<genexpr>.<listcomp>N)r   r   target_folder)r   selfr!   r#   	<genexpr>;   s   , z$Omniglot.__init__.<locals>.<genexpr>c                    s0   g | ]\ } fd dt tj|dD qS )c                    s   g | ]}| fqS r   r   )r   imageidxr   r#   r$   >   s    z0Omniglot.__init__.<locals>.<listcomp>.<listcomp>z.png)r   r   r%   )r   	characterr&   r*   r#   r$   =   s    z%Omniglot.__init__.<locals>.<listcomp>)super__init__r   folderr   r   _check_integrityRuntimeErrorr   _get_target_folderr%   r   
_alphabetssum_characters	enumerate_character_images_flat_character_imagesr   )r'   r   r   r   r   r   r   	__class__r&   r#   r.   &   s    	

zOmniglot.__init__c                 C   s
   t | jS )N)lenr8   r&   r   r   r#   __len__D   s   
zOmniglot.__len__indexc                 C   sr   | j | \}}t| j| j| |}| jdu r tj|dddn| |}| jr-| |}| j	r5| 	|}||fS )z
        Args:
            index (int): Index

        Returns:
            tuple: (image, target) where target is index of the target character class.
        Nr)modeL)
r8   r   r%   r5   r   r   openconvertr   r   )r'   r=   
image_namecharacter_class
image_pathr)   r   r   r#   __getitem__G   s   (

zOmniglot.__getitem__c                 C   s,   |   }tt| j|d | j| sdS dS )N.zipFT)r2   r   r   r   zips_md5)r'   zip_filenamer   r   r#   r0   [   s   zOmniglot._check_integrityc                 C   sF   |   rd S |  }|d }| jd | }t|| j|| j| d d S )NrG   /)filenamemd5)r0   r2   download_url_prefixr   r   rH   )r'   rK   rI   urlr   r   r#   r   a   s   zOmniglot.downloadc                 C   s   | j rdS dS )Nr   r   )r   r&   r   r   r#   r2   j   s   zOmniglot._get_target_folder)TNNFN)r   N)__name__
__module____qualname____doc__r/   rM   rH   r
   strr   boolr   r   r   r.   intr<   r	   rF   r0   r   r2   __classcell__r   r   r9   r#   r      s@    

	r   N)os.pathr   pathlibr   typingr   r   r   r   r	   r
   PILr   utilsr   r   r   r   visionr   r   r   r   r   r#   <module>   s     