U
    <jgj2                  
   @   sp  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	m
Z
mZmZ d dlmZ ddlmZ eeeeedf f edd	d
ZeedddZeeef ee	e eeef f dddZd!eeef e
eeef  e
eeeedf f  e
eegef  ee	eeef  dddZG dd deZdZeejdddZeedddZeedddZG dd  d eZdS )"    N)Path)AnyCallablecastDictListOptionalTupleUnion)Image   )VisionDataset.)filename
extensionsreturnc                 C   s    |   t|tr|nt|S )a   Checks if a file is an allowed extension.

    Args:
        filename (string): path to a file
        extensions (tuple of strings): extensions to consider (lowercase)

    Returns:
        bool: True if the filename ends with one of given extensions
    )lowerendswith
isinstancestrtuple)r   r    r   ?/tmp/pip-unpacked-wheel-xh8d94dr/torchvision/datasets/folder.pyhas_file_allowed_extension   s    
r   )r   r   c                 C   s
   t | tS )zChecks if a file is an allowed image extension.

    Args:
        filename (string): path to a file

    Returns:
        bool: True if the filename ends with a known image extension
    )r   IMG_EXTENSIONS)r   r   r   r   is_image_file   s    	r   	directoryr   c                 C   sF   t dd t| D }|s,td|  ddd t|D }||fS )zWFinds the class folders in a dataset.

    See :class:`DatasetFolder` for details.
    c                 s   s   | ]}|  r|jV  qd S N)is_dirname).0entryr   r   r   	<genexpr>)   s      zfind_classes.<locals>.<genexpr>z"Couldn't find any class folder in .c                 S   s   i | ]\}}||qS r   r   )r    iZcls_namer   r   r   
<dictcomp>-   s      z find_classes.<locals>.<dictcomp>)sortedosscandirFileNotFoundError	enumerate)r   classesclass_to_idxr   r   r   find_classes$   s
    r-   Fr   r,   r   is_valid_fileallow_emptyr   c                    s  t j| } |dkr"t| \}}n|s.td dko<|dk} dk	oL|dk	}|sV|r^td dk	rzttd fdd}tttgtf |}g }t	 }	t
| D ]}
||
 }t j| |
}t j|sqt
t j|ddD ]R\}}}t
|D ]>}t j||}||r||f}|| |
|	kr|	|
 qqqt	| |	 }|r|sd	d
t
| d} dk	r|dt tr nd
  7 }t||S )zGenerates a list of samples of a form (path_to_sample, class).

    See :class:`DatasetFolder` for details.

    Note: The class_to_idx parameter is here optional and will use the logic of the ``find_classes`` function
    by default.
    NzE'class_to_index' must have at least one entry to collect any samples.zMBoth extensions and is_valid_file cannot be None or not None at the same time)xr   c                    s
   t |  S r   )r   )r1   r   r   r   r/   M   s    z#make_dataset.<locals>.is_valid_fileT)followlinksz$Found no valid file for the classes z, z. zSupported extensions are: )r'   path
expanduserr-   
ValueErrorr   boolr   r   setr&   keysjoinisdirwalkappendaddr   r)   )r   r,   r   r/   r0   _Z	both_noneZboth_somethingZ	instancesZavailable_classesZtarget_classZclass_index
target_dirrootfnamesfnamer4   itemZempty_classesmsgr   r2   r   make_dataset1   sD    

$rF   c                       s  e Zd ZdZdeeef eegef e	e
edf  e	e e	e e	eegef  edd fddZedeeef eeef e	e
edf  e	eegef  eee
eef  dd	d
Zeeef e
ee eeef f dddZee
eef dddZedddZ  ZS )DatasetFoldera  A generic data loader.

    This default directory structure can be customized by overriding the
    :meth:`find_classes` method.

    Args:
        root (str or ``pathlib.Path``): Root directory path.
        loader (callable): A function to load a sample given its path.
        extensions (tuple[string]): A list of allowed extensions.
            both extensions and is_valid_file should not be passed.
        transform (callable, optional): A function/transform that takes in
            a sample and returns a transformed version.
            E.g, ``transforms.RandomCrop`` for images.
        target_transform (callable, optional): A function/transform that takes
            in the target and transforms it.
        is_valid_file (callable, optional): A function that takes path of a file
            and check if the file is a valid file (used to check of corrupt files)
            both extensions and is_valid_file should not be passed.
        allow_empty(bool, optional): If True, empty folders are considered to be valid classes.
            An error is raised on empty folders if False (default).

     Attributes:
        classes (list): List of the class names sorted alphabetically.
        class_to_idx (dict): Dict with items (class_name, class_index).
        samples (list): List of (sample path, class_index) tuples
        targets (list): The class_index value for each image in the dataset
    NF.)rA   loaderr   	transformtarget_transformr/   r0   r   c                    sj   t  j|||d | | j\}}	| j| j|	|||d}
|| _|| _|| _|	| _|
| _	dd |
D | _
d S )N)rI   rJ   )r,   r   r/   r0   c                 S   s   g | ]}|d  qS )r   r   )r    sr   r   r   
<listcomp>   s     z*DatasetFolder.__init__.<locals>.<listcomp>)super__init__r-   rA   rF   rH   r   r+   r,   samplestargets)selfrA   rH   r   rI   rJ   r/   r0   r+   r,   rO   	__class__r   r   rN      s    
zDatasetFolder.__init__r.   c                 C   s"   |dkrt dt| ||||dS )a  Generates a list of samples of a form (path_to_sample, class).

        This can be overridden to e.g. read files from a compressed zip file instead of from the disk.

        Args:
            directory (str): root dataset directory, corresponding to ``self.root``.
            class_to_idx (Dict[str, int]): Dictionary mapping class name to class index.
            extensions (optional): A list of allowed extensions.
                Either extensions or is_valid_file should be passed. Defaults to None.
            is_valid_file (optional): A function that takes path of a file
                and checks if the file is a valid file
                (used to check of corrupt files) both extensions and
                is_valid_file should not be passed. Defaults to None.
            allow_empty(bool, optional): If True, empty folders are considered to be valid classes.
                An error is raised on empty folders if False (default).

        Raises:
            ValueError: In case ``class_to_idx`` is empty.
            ValueError: In case ``extensions`` and ``is_valid_file`` are None or both are not None.
            FileNotFoundError: In case no valid file was found for any class.

        Returns:
            List[Tuple[str, int]]: samples of a form (path_to_sample, class)
        Nz*The class_to_idx parameter cannot be None.)r   r/   r0   )r6   rF   )r   r,   r   r/   r0   r   r   r   rF      s         zDatasetFolder.make_datasetr   c                 C   s   t |S )ut  Find the class folders in a dataset structured as follows::

            directory/
            ├── class_x
            │   ├── xxx.ext
            │   ├── xxy.ext
            │   └── ...
            │       └── xxz.ext
            └── class_y
                ├── 123.ext
                ├── nsdf3.ext
                └── ...
                └── asd932_.ext

        This method can be overridden to only consider
        a subset of classes, or to adapt to a different dataset directory structure.

        Args:
            directory(str): Root directory path, corresponding to ``self.root``

        Raises:
            FileNotFoundError: If ``dir`` has no class folders.

        Returns:
            (Tuple[List[str], Dict[str, int]]): List of all classes and dictionary mapping each class to an index.
        )r-   )rQ   r   r   r   r   r-      s    zDatasetFolder.find_classes)indexr   c                 C   sH   | j | \}}| |}| jdk	r,| |}| jdk	r@| |}||fS )z
        Args:
            index (int): Index

        Returns:
            tuple: (sample, target) where target is class_index of the target class.
        N)rO   rH   rI   rJ   )rQ   rT   r4   targetsampler   r   r   __getitem__   s    




zDatasetFolder.__getitem__)r   c                 C   s
   t | jS r   )lenrO   )rQ   r   r   r   __len__   s    zDatasetFolder.__len__)NNNNF)NNF)__name__
__module____qualname____doc__r
   r   r   r   r   r   r	   r7   rN   staticmethodr   intr   rF   r-   rW   rY   __classcell__r   r   rR   r   rG   m   s>         
   

(,rG   )	z.jpgz.jpegz.pngz.ppmz.bmpz.pgmz.tifz.tiffz.webp)r4   r   c              
   C   s6   t | d"}t |}|dW  5 Q R  S Q R X d S )NrbZRGB)openr   convert)r4   fimgr   r   r   
pil_loader  s    
rf   c                 C   s6   dd l }z|| W S  tk
r0   t|  Y S X d S )Nr   )accimager   OSErrorrf   )r4   rg   r   r   r   accimage_loader  s
    ri   c                 C   s*   ddl m} | dkrt| S t| S d S )Nr   )get_image_backendrg   )Ztorchvisionrj   ri   rf   )r4   rj   r   r   r   default_loader  s    
rk   c                	       s\   e Zd ZdZddeddfeee ee eegef eeege	f  e	d fddZ
  ZS )ImageFolderat  A generic data loader where the images are arranged in this way by default: ::

        root/dog/xxx.png
        root/dog/xxy.png
        root/dog/[...]/xxz.png

        root/cat/123.png
        root/cat/nsdf3.png
        root/cat/[...]/asd932_.png

    This class inherits from :class:`~torchvision.datasets.DatasetFolder` so
    the same methods can be overridden to customize the dataset.

    Args:
        root (str or ``pathlib.Path``): Root directory path.
        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.
        loader (callable, optional): A function to load an image given its path.
        is_valid_file (callable, optional): A function that takes path of an Image file
            and check if the file is a valid file (used to check of corrupt files)
        allow_empty(bool, optional): If True, empty folders are considered to be valid classes.
            An error is raised on empty folders if False (default).

     Attributes:
        classes (list): List of the class names sorted alphabetically.
        class_to_idx (dict): Dict with items (class_name, class_index).
        imgs (list): List of (image path, class_index) tuples
    NF)rA   rI   rJ   rH   r/   r0   c              	      s2   t  j|||d krtnd ||||d | j| _d S )N)rI   rJ   r/   r0   )rM   rN   r   rO   Zimgs)rQ   rA   rI   rJ   rH   r/   r0   rR   r   r   rN   ?  s    		zImageFolder.__init__)rZ   r[   r\   r]   rk   r   r   r   r   r7   rN   r`   r   r   rR   r   rl     s   "rl   )NNNF)r'   os.pathpathlibr   typingr   r   r   r   r   r   r	   r
   ZPILr   Zvisionr   r   r7   r   r   r_   r-   rF   rG   r   rf   ri   rk   rl   r   r   r   r   <module>   s6   (",    
< 
	