§ íNgÂãóš—UddlmZddlmZmZmZddlmZddlm Z ddl m Z ddl m Z ddlmZddlmZd Zd ed < dd d d d gddœd d„Zd S)!é)Ú annotations)ÚIOÚAnyÚOptional)ÚElement)Ú&convert_file_to_html_text_using_pandoc)ÚFileType)Ú exactly_one)Úget_last_modified_date)Úpartition_htmlÚepubÚstrÚDETECTION_ORIGINNÚautoF)ÚfileÚmetadata_filenameÚmetadata_last_modifiedÚ languagesÚdetect_language_per_elementÚfilenameú Optional[str]rúOptional[IO[bytes]]rrrúOptional[list[str]]rÚboolÚkwargsrÚreturnú list[Element]c ó¾—t||¬¦«|rt|¦«nd}td||¬¦«}td|d|p|tj|p|||t dœ|¤ŽS)aòPartitions an EPUB document. The document is first converted to HTML and then partitioned using partition_html. Parameters ---------- filename A string defining the target filename path. file A file-like object using "rb" mode --> open(filename, "rb"). metadata_last_modified The last modified date for the document. languages User defined value for `metadata.languages` if provided. Otherwise language is detected using naive Bayesian filter via `langdetect`. Multiple languages indicates text could be in either language. Additional Parameters: detect_language_per_element Detect language per element instead of at the document level. )rrNr )Ú source_formatrrÚunicode)ÚtextÚencodingrÚmetadata_file_typerrrÚdetection_origin©)r r rr r ÚEPUBr) rrrrrrrÚ last_modifiedÚ html_texts úW/var/www/html/ai-engine/env/lib/python3.11/site-packages/unstructured/partition/epub.pyÚpartition_epubr*s–€õ:˜¨Ð-Ñ-Ô-Ð-à8@ÐJÕ*¨8Ñ4Ô4Ð4Àd€Må6Ø x°dðñô€Iõ ð Ø ØØ+Ð7¨xÝ#œ=Ø5ÐF¸ØØ$?Ý)ð ð ð ð ð ð ó)N)rrrrrrrrrrrrrrrr)Ú __future__rÚtypingrrrÚunstructured.documents.elementsrÚ'unstructured.file_utils.file_conversionrÚunstructured.file_utils.modelr Ú$unstructured.partition.common.commonr Ú&unstructured.partition.common.metadatar Úunstructured.partition.htmlr rÚ__annotations__r*r%r+r)úr5sûðØ"Ð"Ð"Ð"Ð"Ð"Ð"à$Ð$Ð$Ð$Ð$Ð$Ð$Ð$Ð$Ð$à3Ð3Ð3Ð3Ð3Ð3ØZÐZÐZÐZÐZÐZØ2Ð2Ð2Ð2Ð2Ð2Ø<Ð<Ð<Ð<Ð<Ð<ØIÐIÐIÐIÐIÐIØ6Ð6Ð6Ð6Ð6Ð6àÐÐÐÐÑð#ð/ð!%Ø'+Ø,0Ø&, XØ(-ð/ð/ð/ð/ð/ð/ð/ð/r+