a
    h                     @   st   d dl mZ d dlmZ d dl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Optional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eee	f e
ee ee e
eeeee	f gef  dd
 fddZedddZeeeef dddZe
dddZddddZed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/pythonZ 68d2efa1b9178cc56df9314c21c6e718Z 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,   | ]$  fd dt tj D V  qdS )c                    s   g | ]}t  |qS  r   ).0car   K/var/www/auris/lib/python3.9/site-packages/torchvision/datasets/omniglot.py
<listcomp>;       z/Omniglot.__init__.<locals>.<genexpr>.<listcomp>N)r   r   target_folder)r   selfr   r   	<genexpr>;   r!   z$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    >   r!   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   Z
_alphabetssum_characters	enumerateZ_character_images_flat_character_imagesr   )r$   r   r   r   r   r   r   	__class__r#   r   r+   &   s     	
zOmniglot.__init__)r   c                 C   s
   t | jS )N)lenr3   r#   r   r   r   __len__D   s    zOmniglot.__len__)indexr   c                 C   sr   | j | \}}t| j| j| |}| jdu r@tj|dddn| |}| jrZ| |}| j	rj| 	|}||fS )z
        Args:
            index (int): Index

        Returns:
            tuple: (image, target) where target is index of the target character class.
        Nr)modeL)
r3   r   r"   r1   r   r	   openconvertr   r   )r$   r8   Z
image_nameZcharacter_classZ
image_pathr&   r   r   r   __getitem__G   s    (

zOmniglot.__getitem__c                 C   s,   |   }tt| j|d | j| s(dS dS )N.zipFT)r/   r   r   r   zips_md5)r$   zip_filenamer   r   r   r-   [   s    zOmniglot._check_integrityc                 C   sF   |   rd S |  }|d }| jd | }t|| j|| j| d d S )Nr?   /)filenamemd5)r-   r/   download_url_prefixr   r   r@   )r$   rC   rA   urlr   r   r   r   a   s    zOmniglot.downloadc                 C   s   | j r
dS dS )Nr   r   )r   r#   r   r   r   r/   j   s    zOmniglot._get_target_folder)TNNFN)__name__
__module____qualname____doc__r,   rE   r@   r   strr   boolr   r   r   r+   intr7   tupler>   r-   r   r/   __classcell__r   r   r4   r   r      s2        
	r   N)os.pathr   pathlibr   typingr   r   r   r   ZPILr	   utilsr   r   r   r   Zvisionr   r   r   r   r   r   <module>   s   