fTh#tSrSSKrSSKJrJrJr SSKJr SSKJ r J r J r J r J r SSKJr "SS \5rS /rg) z! Processor class for LayoutLMv3. N)ListOptionalUnion)ProcessorMixin) BatchEncodingPaddingStrategyPreTokenizedInput TextInputTruncationStrategy) TensorTypec(^\rSrSrSrSS/rSrSrS#U4SjjrS$S\ \ \ \ \ \ \ 4S \ \ \ \ \ 4S \ \ \ \ \\ \ \ \4S \ \ \ \\ \ \4S \S \ \\\4S\ \\\4S\ \S\S\ \S\ \S\ \S\S\S\S\S\S\ \ \\4S\4&SjjrSrSrSr\S5r\S 5r\S!5rS"rU=r$)%LayoutLMv3Processora> Constructs a LayoutLMv3 processor which combines a LayoutLMv3 image processor and a LayoutLMv3 tokenizer into a single processor. [`LayoutLMv3Processor`] offers all the functionalities you need to prepare data for the model. It first uses [`LayoutLMv3ImageProcessor`] to resize and normalize document images, and optionally applies OCR to get words and normalized bounding boxes. These are then provided to [`LayoutLMv3Tokenizer`] or [`LayoutLMv3TokenizerFast`], which turns the words and bounding boxes into token-level `input_ids`, `attention_mask`, `token_type_ids`, `bbox`. Optionally, one can provide integer `word_labels`, which are turned into token-level `labels` for token classification tasks (such as FUNSD, CORD). Args: image_processor (`LayoutLMv3ImageProcessor`, *optional*): An instance of [`LayoutLMv3ImageProcessor`]. The image processor is a required input. tokenizer (`LayoutLMv3Tokenizer` or `LayoutLMv3TokenizerFast`, *optional*): An instance of [`LayoutLMv3Tokenizer`] or [`LayoutLMv3TokenizerFast`]. The tokenizer is a required input. image_processor tokenizerLayoutLMv3ImageProcessor)LayoutLMv3TokenizerLayoutLMv3TokenizerFastc >SnSU;a,[R"S[5 URS5nUbUOUnUc [ S5eUc [ S5e[ TU]X5 g)Nfeature_extractorzhThe `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor` instead.z)You need to specify an `image_processor`.z"You need to specify a `tokenizer`.)warningswarn FutureWarningpop ValueErrorsuper__init__)selfrrkwargsr __class__s l/var/www/auris/envauris/lib/python3.13/site-packages/transformers/models/layoutlmv3/processing_layoutlmv3.pyrLayoutLMv3Processor.__init__3su  & ( MM  !' +> ? -<-H/N_  "HI I  AB B 4text text_pairboxes word_labelsadd_special_tokenspadding truncation max_lengthstridepad_to_multiple_ofreturn_token_type_idsreturn_attention_maskreturn_overflowing_tokensreturn_special_tokens_maskreturn_offsets_mapping return_lengthverbosereturn_tensorsreturnc `URR(aUb [S5eURR(aUb [S5eURUUS9nUb;URR(a Uc[U[5(aU/nUSnUR "S0SUbUOUS_SUbUOS_SUbUOUS_S U_S U_S U_S U_S U _SU _SU _SU _SU _SU_SU_SU_SU_SU_SU_UD6nUR S5nUSLaURUUS5nUUS'U$)a This method first forwards the `images` argument to [`~LayoutLMv3ImageProcessor.__call__`]. In case [`LayoutLMv3ImageProcessor`] was initialized with `apply_ocr` set to `True`, it passes the obtained words and bounding boxes along with the additional arguments to [`~LayoutLMv3Tokenizer.__call__`] and returns the output, together with resized and normalized `pixel_values`. In case [`LayoutLMv3ImageProcessor`] was initialized with `apply_ocr` set to `False`, it passes the words (`text`/``text_pair`) and `boxes` specified by the user along with the additional arguments to [`~LayoutLMv3Tokenizer.__call__`] and returns the output, together with resized and normalized `pixel_values`. Please refer to the docstring of the above two methods for more information. NzdYou cannot provide bounding boxes if you initialized the image processor with apply_ocr set to True.zaYou cannot provide word labels if you initialized the image processor with apply_ocr set to True.)imagesr6wordsr%r&r'r(r)r*r+r,r-r.r/r0r1r2r3r4r5r6 pixel_valuesToverflow_to_sample_mapping)r apply_ocrr isinstancestrrrget_overflowing_images)rr9r%r&r'r(r)r*r+r,r-r.r/r0r1r2r3r4r5r6r featuresencoded_inputss r"__call__LayoutLMv3Processor.__call__EsF    ) )u/@v     ) ){/Fs  ''vn'U   4 4 > >9CT$$$v )I )x/@ #,#8id !,%(72C $  2    " "   2 #8 #8 '@ (B $: (! "# $*' .n- $ ,00Hd9efF)/~&r$c/nUHnURX5 M [U5[U5:wa#[S[U5S[U535eU$)Nz`Expected length of images to be the same as the length of `overflow_to_sample_mapping`, but got z and )appendlenr)rr9r<images_with_overflow sample_idxs r"rA*LayoutLMv3Processor.get_overflowing_imagessr!4J ' '(: ;5 # $,F(G G,-.eC8R4S3TV  $#r$c:URR"U0UD6$)z This method forwards all its arguments to PreTrainedTokenizer's [`~PreTrainedTokenizer.batch_decode`]. Please refer to the docstring of this method for more information. )r batch_decoderargsr s r"rM LayoutLMv3Processor.batch_decodes ~~**D;F;;r$c:URR"U0UD6$)z This method forwards all its arguments to PreTrainedTokenizer's [`~PreTrainedTokenizer.decode`]. Please refer to the docstring of this method for more information. )rdecoderNs r"rRLayoutLMv3Processor.decodes ~~$$d5f55r$c /SQ$)N) input_idsbboxattention_maskr;r=rs r"model_input_names%LayoutLMv3Processor.model_input_namessFFr$cP[R"S[5 UR$)Nzg`feature_extractor_class` is deprecated and will be removed in v5. Use `image_processor_class` instead.)rrrimage_processor_classrXs r"feature_extractor_class+LayoutLMv3Processor.feature_extractor_classs" u  )))r$cP[R"S[5 UR$)Nz[`feature_extractor` is deprecated and will be removed in v5. Use `image_processor` instead.)rrrrrXs r"r%LayoutLMv3Processor.feature_extractors" i  ###r$r=)NN)NNNNTFNNrNNNFFFFTN)__name__ __module__ __qualname____firstlineno____doc__ attributesr\tokenizer_classrrr r rrintboolr@r r r rrDrArMrRpropertyrYr]r__static_attributes__ __classcell__)r!s@r"rrs(&$[1J6HO5*_cQUIMCG#'5:;?$(,00404*/+0',#;?)RI0$y/4HYCZZ[RE"3T:K5L"LMN R d49otDcO/DDEF R eDItDI$>?@ R!RtS/12R$%778RSMRR%SMR (~R (~R$(R %)!R"!%#R$%R&'R(!sJ!78)R, -Rh $<6GG**$$r$r)rertypingrrrprocessing_utilsrtokenization_utils_baserr r r r utilsr r__all__r=r$r"rrs:((.wwl$.l$^ ! !r$