g$vdZddlZddlmZmZmZddlmZddlm Z m Z m Z m Z m Z ddlmZGdd eZdS) z Processor class for LayoutXLM. N)ListOptionalUnion)ProcessorMixin) BatchEncodingPaddingStrategyPreTokenizedInput TextInputTruncationStrategy) TensorTypec(ReZdZdZddgZdZdZd%fd Z d&d ee e e e e e fd e ee e e fd ee e e e e e e fde ee e e e e fdedeeeefdeeeefde e de de e de ede edededededede eeefdef&dZdZd Zd!Zed"Zed#Zed$ZxZS)'LayoutXLMProcessoran Constructs a LayoutXLM processor which combines a LayoutXLM image processor and a LayoutXLM tokenizer into a single processor. [`LayoutXLMProcessor`] offers all the functionalities you need to prepare data for the model. It first uses [`LayoutLMv2ImageProcessor`] to resize document images to a fixed size, and optionally applies OCR to get words and normalized bounding boxes. These are then provided to [`LayoutXLMTokenizer`] or [`LayoutXLMTokenizerFast`], 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 (`LayoutLMv2ImageProcessor`, *optional*): An instance of [`LayoutLMv2ImageProcessor`]. The image processor is a required input. tokenizer (`LayoutXLMTokenizer` or `LayoutXLMTokenizerFast`, *optional*): An instance of [`LayoutXLMTokenizer`] or [`LayoutXLMTokenizerFast`]. The tokenizer is a required input. image_processor tokenizerLayoutLMv2ImageProcessor)LayoutXLMTokenizerLayoutXLMTokenizerFastNc d|vr/tjdt|d}||n|}|t d|t dt ||dS)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 n/var/www/html/ai-engine/env/lib/python3.11/site-packages/transformers/models/layoutxlm/processing_layoutxlm.pyrzLayoutXLMProcessor.__init__3s & ( ( M    !' +> ? ? -<-H//N_  "HII I  ABB B )44444TFrtext 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 `|jjr|td|jjr|td|dur|durtd|||}|.|jjr"| t|tr|g}|d}|jdid ||n|dd ||ndd ||n|d d |d |d|d|d| d| d| d| d| d|d|d|d|d|d||}|d}|dur|||d}||d<|S)a This method first forwards the `images` argument to [`~LayoutLMv2ImagePrpcessor.__call__`]. In case [`LayoutLMv2ImagePrpcessor`] was initialized with `apply_ocr` set to `True`, it passes the obtained words and bounding boxes along with the additional arguments to [`~LayoutXLMTokenizer.__call__`] and returns the output, together with resized `images`. In case [`LayoutLMv2ImagePrpcessor`] 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 [`~LayoutXLMTokenizer.__call__`] and returns the output, together with resized `images``. 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.TFzKYou cannot return overflowing tokens without returning the offsets mapping.)imagesr4wordsr#r$r%r&r'r(r)r*r+r,r-r.r/r0r1r2r3r4 pixel_valuesoverflow_to_sample_mappingimage)r apply_ocrr isinstancestrrrget_overflowing_images)rr7r#r$r%r&r'r(r)r*r+r,r-r.r/r0r1r2r3r4rfeaturesencoded_inputss r!__call__zLayoutXLMProcessor.__call__Ds>D   ) u/@U    ) {/Fs  % , ,1G51P1Pjkk k''vn'UU   4 > 9CT$$$ v )I'   )x/@ #,#8iid !,%%(72C $  21  G  "z "z 6  21 #8"7 #8"7 '@&? (B'A $:#9 (-! "G# $*>'  .n-- $ , ,00Hd9effF"(wr"cg}|D]}|||t|t|kr/tdt|dt||S)Nz`Expected length of images to be the same as the length of `overflow_to_sample_mapping`, but got z and )appendlenr)rr7r:images_with_overflow sample_idxs r!r@z)LayoutXLMProcessor.get_overflowing_imagess!4 < ?@ U!UtS/12U$%778USMUU%SMU (~U (~U$(U %)!U"!%#U$%U&'U(!sJ!78)U, -UUUUn $ $ $<<<666@@X@**X*$$X$$$$$r"r)r\rtypingrrrprocessing_utilsrtokenization_utils_baserr r r r utilsr rr<r"r!rgs((((((((((......wwwwwwwwwwwwwwn$n$n$n$n$n$n$n$n$n$r"