a PSic @sdddlZddlmZmZmZmZddlZddl m Z ddl m Z m Z ddlmZGdddeZdS) N)AnyCallableOptionalTuple)Image) download_urlcheck_integrity) VisionDatasetcseZdZdZdZdZdZdeee ee e ddfdd Z e e eefd d d Ze d ddZe d ddZdd ddZZS)SEMEIONa`SEMEION `_ Dataset. Args: root (string): Root directory of dataset where directory ``semeion.py`` exists. transform (callable, optional): A function/transform that takes in an 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. zMhttp://archive.ics.uci.edu/ml/machine-learning-databases/semeion/semeion.dataz semeion.dataZ cb545d371d2ce14ec121470795a77432NT)root transformtarget_transformdownloadreturncstj|||d|r||s.tdtj|j|j }t |}|ddddfd d|_ t |j d|_ t |ddddfd|_dS)N)r rzHDataset not found or corrupted. You can use download=True to download ituint8)rr)super__init__r_check_integrity RuntimeErrorospathjoinr filenamenploadtxtastypedatareshapenonzerolabels)selfr r rrfpr! __class__X/var/www/html/django/DPS/env/lib/python3.9/site-packages/torchvision/datasets/semeion.pyrs  zSEMEION.__init__)indexrcCsX|j|t|j|}}tj|dd}|jdur<||}|jdurP||}||fS)z Args: index (int): Index Returns: tuple: (image, target) where target is index of the target class. L)modeN)r!intr$r fromarrayr r)r%r+imgtargetr)r)r* __getitem__5s    zSEMEION.__getitem__)rcCs t|jS)N)lenr!)r%r)r)r*__len__KszSEMEION.__len__cCs*|j}tj||j}t||js&dSdS)NFT)r rrrrr md5_checksum)r%r fpathr)r)r*rNs  zSEMEION._check_integritycCs2|rtddS|j}t|j||j|jdS)Nz%Files already downloaded and verified)rprintr rurlrr5)r%r r)r)r*rUs zSEMEION.download)NNT)__name__ __module__ __qualname____doc__r8rr5strrrboolrr.rrr2r4rr __classcell__r)r)r'r*r s$r )os.pathrtypingrrrrnumpyrPILrutilsrr visionr r r)r)r)r*s