hSSKrSSKrSSKJr SSKJr SSKJr SSKJ r J r J r J r SSK Jr SSKJr "S S \5r"S S \5r"S S\5rg)N) defaultdict) HTMLParser)Path)AnyCallableOptionalUnion)default_loader) VisionDatasetc^\rSrSrSrS\\\4SS4U4SjjrS\S\ \ \\ \4SS4S jr S\SS4S jr S \SS4S jrS rU=r$)Flickr8kParser zBParser for extracting captions from the Flickr8k dataset web page.rootreturnNcf>[TU]5 Xl0UlSUlSUlSUlg)NF)super__init__r annotationsin_table current_tag current_img)selfr __class__s S/var/www/auris/envauris/lib/python3.13/site-packages/torchvision/datasets/flickr.pyrFlickr8kParser.__init__s6  24 *.*.tagattrsc,XlUS:XaSUlgg)NtableTrr)rrrs rhandle_starttagFlickr8kParser.handle_starttags '> DM rc.SUlUS:XaSUlgg)Nr!Fr")rrs r handle_endtagFlickr8kParser.handle_endtag"s '>!DM rdatacUR(aUS:XaSUlgURS:XapURS5Sn[R R URUS-5n[R"U5SnX l/URU'gURS:XaKUR(a9URnURURUR55 gggg)NzImage Not Founda/z_*.jpgrli) rrrsplitospathjoinrglobrappendstrip)rr(img_ids r handle_dataFlickr8kParser.handle_data(s ==((#' !!S(C,dii(1BC6*1-#) +-  (!!T)d.>.>))  (// =/?) r)rrrrr)__name__ __module__ __qualname____firstlineno____doc__r strrrlisttuplerr#r&r6__static_attributes__ __classcell__rs@rrr s{L /U39- /$ /!3!tE#x}:L4M/N!SW! """ > > > >rrc ^\rSrSrSrSS\4S\\\4S\S\ \ S\ \ S\ \/\ 4S S4 U4S jjjr S \ S \\ \ 44S jrS \ 4S jrSrU=r$)Flickr8k7a`Flickr8k Entities `_ Dataset. Args: root (str or ``pathlib.Path``): Root directory where images are downloaded to. ann_file (string): Path to annotation file. transform (callable, optional): A function/transform that takes in a PIL image or torch.Tensor, depends on the given loader, 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. 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. Nrann_file transformtarget_transformloaderrc>[TU]XUS9 [RR U5Ul[ UR5n[UR 5nURUR55 SSS5 URUl [[URR555UlXPlg!,(df  NW=f)NrGrH)rrr/r0 expanduserrFrropenfeedreadrr>sortedkeysidsrI) rrrFrGrHrIparserfhrs rrFlickr8k.__init__Fs EUV**84   * $-- B KK "!!--t//44678 ! s  C CindexcURUnURU5nURbURU5nURUnURbUR U5nX44$zv Args: index (int): Index Returns: tuple: Tuple (image, target). target is a list of captions for the image. )rRrIrGrrH)rrVr5imgtargets r __getitem__Flickr8k.__getitem__Zso%kk&! >> %..%C!!&)  ,**62F{rc,[UR5$NlenrRrs r__len__Flickr8k.__len__p488}rrFrrRrI)r8r9r:r;r<r r r=rrrrrintr?r[rbr@rArBs@rrDrD7s $)-/3'5 CIH%  #8,  #$  (sCx,rrDc ^\rSrSrSrSS\4S\S\S\\S\\S\\/\ 4S S4 U4S jjjr S \ S \ \ \ 44S jr S \ 4S jrSrU=r$) Flickr30kta `Flickr30k Entities `_ Dataset. Args: root (str or ``pathlib.Path``): Root directory where images are downloaded to. ann_file (string): Path to annotation file. transform (callable, optional): A function/transform that takes in a PIL image or torch.Tensor, depends on the given loader, 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. 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. NrrFrGrHrIrc>[T U]XUS9 [RR U5Ul[ [5Ul[UR 5nUHEnUR5RS5upURUSSRU 5 MG SSS5 [[URR555UlXPlg!,(df  NF=f)NrK r,)rrr/r0rLrFrr>rrMr4r.r3rPrQrRrI) rrrFrGrHrIrTliner5captionrs rrFlickr30k.__init__s EUV**84 't, $-- B"&**,"4"4T":  -44W=! t//44678 ! s A C)) C7rVc2URUn[RRURU5nUR U5nUR bUR U5nURUnURbURU5nXE4$rX) rRr/r0r1rrIrGrrH)rrVr5filenamerYrZs rr[Flickr30k.__getitem__s%77<< 62kk(# >> %..%C!!&)  ,**62F{rc,[UR5$r^r_ras rrbFlickr30k.__len__rdrre)r8r9r:r;r<r r=rrrrrfr?r[rbr@rArBs@rrhrhts $)-/3'5 H%  #8,  #$  *sCx.rrh)r2r/ collectionsr html.parserrpathlibrtypingrrrr folderr visionr rrDrhrrr{sF #"11"!(>Z(>V:}:z< <r