j?[!dZddlZddlZddlZddlZddlmZddlmZddl m Z ddl Z ddl m Z mZmZmZmZmZmZmZmZmZmZmZmZmZgagadaej<Zej@Z!eezZ"e#ejHZ%djdZ&Gd d e'Z(gd Z)gd Z*e(dZ+d Z,d Z-d Z.dZ/d Z0d Z1dZ2dZ3e ddddZ4ddddddddZ5de6fdZ7GddZ8Gdd Z9Gd!d"Z:d#e6de6fd$Z;ejxe9jzj|jZ@ejxe:j|jZAd#e6de8fd%ZBd#e6deCfd&ZDe0fd'e6deCfd(ZEdkd#e6de6fd)ZFd*ZGde6fd+ZHde6fd,ZIde6fd-ZJ dlde6fd.ZKdmde6fd/ZLdeMfd0ZNde6fd1ZOd2eCfd3ZPd4eCde6fd5ZQe,e,fd6ZRd7eCfd8ZSe-fd9eCfd:ZTd;ZUdeMfd<ZVdeMfd=ZWd>ZXd?ZYe/fd@eZfdAZ[dBZ\e.fd@eZfdCZ]dndeMfdDZ^dEZ_dFZ`de6fdGZaGdHdIZbGdJdKebZcGdLdMZdGdNdOZeeGdPdQZfGdRdSZg dodTZhdpdUZidVZjdWZkddXdXdde,dde-ddd e.e/d ddd d d ddddfdYeCdZeCd[e6d\e6d]e'd^e'd_e'd`e'dae'dbe'dce'dde'dee'dfe'dge'dhe'f diZly)qa Copyright (C) 2023 Artifex Software, Inc. This file is part of PyMuPDF. PyMuPDF is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. PyMuPDF is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more details. You should have received a copy of the GNU Affero General Public License along with MuPDF. If not, see Alternative licensing terms are available from the licensor. For commercial licensing, see or contact Artifex Software, Inc., 39 Mesa Street, Suite 108A, San Francisco, CA 94129, USA, for further information. --------------------------------------------------------------------- Portions of this code have been ported from pdfplumber, see https://pypi.org/project/pdfplumber/. The ported code is under the following MIT license: --------------------------------------------------------------------- The MIT License (MIT) Copyright (c) 2015, Jeremy Singer-Vine Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. --------------------------------------------------------------------- Also see here: https://github.com/jsvine/pdfplumber/blob/stable/LICENSE.txt --------------------------------------------------------------------- The porting mainly pertains to files "table.py" and relevant parts of "utils/text.py" within pdfplumber's repository on Github. With respect to "text.py", we have removed functions or features that are not used by table processing. Examples are: * the text search function * simple text extraction * text extraction by lines Original pdfplumber code does neither detect, nor identify table headers. This PyMuPDF port adds respective code to the 'Table' class as method '_get_header'. This is implemented as new class TableHeader with the properties: * bbox: A tuple for the header's bbox * cells: A tuple for each bbox of a column header * names: A list of strings with column header text * external: A bool indicating whether the header is outside the table cells. N)Sequence) dataclass) itemgetter)RectMatrixTEXTFLAGS_TEXTTEXT_FONT_BOLDTEXT_FONT_ITALICTEXT_FONT_MONOSPACEDTEXT_FONT_SUPERSCRIPTTEXT_COLLECT_STYLESTOOLS EMPTY_RECT sRGB_to_pdfPointmessagemupdfc 8d}|jdD]}|ddk7r |d} |d|dkDs!|d|dks|d|dkDs |d|dkr@|d D]}|d} |d|dkDs!|d|dks|d|dkDs |d|dkr7|r ||rd nd z }|d d k(xs|d dk(}|dD]N} | d} | d|dkDs!| d|dks| d|dkDs | d|dkr7d} | dD]6} t| d} t| |zdt| zkDs/| | dz } 8| sz|s|| z }d}d}|r| dtzr |dz }d|z}| dtzr |dz }d|z}| dt zr |dz }d|z}| dt zr |dz }d|z}t| ddkDr| j} t|x}r|j|r|d| | z|z}-| js|dz }D||| z|zz }Q|jS)aDExtract text from a rect-like 'cell' as plain or MD style text. This function should ultimately be used to extract text from a table cell. Markdown output will only work correctly if extraction flag bit TEXT_COLLECT_STYLES is set. Args: textpage: A PyMuPDF TextPage object. Must have been created with TEXTFLAGS_TEXT | TEXT_COLLECT_STYLES. cell: A tuple (x0, y0, x1, y1) defining the cell's bbox. markdown: If True, return text formatted for Markdown. Returns: A string with the text extracted from the cell. blockstyperbboxrlines
 dir)rr)rrspanscharsg?c char_flagsz~~z**flags_`N ) extractRAWDICTrabsTEXT_STRIKEOUT TEXT_BOLDr r lenrstripendswithstrip)textpagecellmarkdowntextblock block_bboxlinelbbox horizontalspansbbox span_textcharrprefixsuffixlss W/var/www/html/Fitness-lenito-AI-main/venv/lib/python3.12/site-packages/pymupdf/table.py extract_cellsrArs D((*84 =A  6] !}tAw&!}tAw&!}tAw&!}tAw& 'NDLE8d1g%8d1g%8d1g%8d1g%(4e.G$u+2GJW V Qx$q')Qx$q')Qx$q')Qx$q')  MDV -D4$;'#D /9!T#Y. * !I%D$|"4~"EdNF!F]F % 1dNF!F]F=#33cMF 6\F=#77cMF 6\FtG}%) ) 0 0 2If+%B%4==+@": 1F:D$??,  2V ;;e&##5b ::<c eZdZy) UnsetFloatN__name__ __module__ __qualname__rBr@rDrDrBrD) snap_tolerancesnap_x_tolerancesnap_y_tolerancejoin_tolerancejoin_x_tolerancejoin_y_toleranceedge_min_lengthmin_words_verticalmin_words_horizontalintersection_toleranceintersection_x_toleranceintersection_y_tolerance)r lines_strictr3explicitrg@ x0topx1bottomffffifflfiflst)uffuffiufflufiuflustuſtreturnct|tr|St|tr t|St|dr|j d}|St|S)Nto_dictrecords) isinstancelistrhasattrrf) collectionress r@to_listrmsQ*d# J )J Y '  + JrBc :eZdZdZd d dZ d dedededefdZy) TextMapz A TextMap maps each unicode character in the text to an individual `char` object (or, in the case of layout-implied whitespace, `None`). Nrdcd||_djttd||_y)Nrr)tuplesjoinmapr as_stringselfrqs r@__init__zTextMap.__init__s$ Z]F!;<rB main_group return_groups return_charsc |j|j||j|}|Dcgc] \}}| | }}}t|\} } } } |j || | | | d} |r|j | d<|r|| d<| Scc}}w)N)r3rZr[r\r]groupsr!)rqstartendobjects_to_bboxgroupr|)rvmrxryrzsubsetr3r"r!rZr[r\r]results r@ match_to_dictzTextMap.match_to_dictsQWWZ01553DE$*chars. rdNc||_yr)rqrus r@rwzWordMap.__init__?s  rBFrTlayoutlayout_width_charslayout_height_chars use_text_flow presortedexpand_ligaturescg}t|js t|S| rtni}|rS|r |r"t dt t ||z }|r |r"t dt t ||z }dg|z}ng}d}| s| r |jnt|jd}|dd}|d|dz }tt|d | D]0\}}|r|ddd|| zz |z nd}tt |dkDt ||z }t|D].}t|r |d dd k(r||z }|jd 0||z }d}| s| r|n t|d }|D]\}}|r |d|z |z nd}ttd|t ||z }|dg|zz }||z }|D]9}|j|d|d} | D]}!|j|!|f|dz };|s%|dg||z zz }3|r@||dzz }"t|"D]}|dkDr||z }|jd |d d k(r|dd }t|S)a Given a list of (word, chars) tuples (i.e., a WordMap), return a list of (char-text, char) tuples (i.e., a TextMap) that can be used to mimic the structural layout of the text on the page(s), using the following approach: - Sort the words by (doctop, x0) if not already sorted. - Calculate the initial doctop for the starting page. - Cluster the words by doctop (taking `y_tolerance` into account), and iterate through them. - For each cluster, calculate the distance between that doctop and the initial doctop, in points, minus `y_shift`. Divide that distance by `y_density` to calculate the minimum number of newlines that should come before this cluster. Append that number of newlines *minus* the number of newlines already appended, with a minimum of one. - Then for each cluster, iterate through each word in it. Divide each word's x0, minus `x_shift`, by `x_density` to calculate the minimum number of characters that should come before this cluster. Append that number of spaces *minus* the number of characters and spaces already appended, with a minimum of one. Then append the word's text. - At the termination of each line, add more spaces if necessary to mimic `layout_width`. - Finally, add newlines to the end if necessary to mimic to `layout_height`. Note: This approach currently works best for horizontal, left-to-right text, but will display all words regardless of orientation. There is room for improvement in better supporting right-to-left text, as well as vertical text. z;`layout_width` and `layout_width_chars` cannot both be set.z=`layout_height` and `layout_height_chars` cannot both be set.)r'Nrc$t|ddSNrdoctopfloatxs r@z$WordMap.to_textmap..s51h3HrBkeyrr[c$t|ddSrrrs r@rz$WordMap.to_textmap..suQqT(^/DrBr)rNc$t|ddS)NrrZrrs r@rz$WordMap.to_textmap..seAaDJ.?rBrZrr3N)r,rqro LIGATURES ValueErrorrroundsorted enumeratecluster_objectsmaxrangeappendminget)#rvr layout_width layout_heightrr x_density y_densityx_shifty_shift y_tolerancerrr_textmap expansions blank_line num_newlineswords_sorted_doctop first_word doctop_startiwsy_distnum_newlines_prependline_lenline_words_sorted_x0wordr!x_distnum_spaces_prependr"lettersletternum_newlines_appends# r@ to_textmapzWordMap.to_textmapBsf4;;8$ $"2Y !$U&)|i/G)H%I"" $W'*% 0I*J&K#%);;JJ M KK )HI  )+A. !(+j.??  #%Dk  EArAq(#|g'=>)K  $'AE f , $ /08} Q4(? *H -1 0 0LH B$?@ ! 4 e?E$t*w.);1%(Q)95=8;S%T"[M,>>>..A(nnQvY& BG")  4 A #* 4[M-?(-JKK] b "59I"J ./q5 *H -0 ||+#CR=x  rBr) rFrGrHrrwDEFAULT_X_DENSITYDEFAULT_Y_DENSITYDEFAULT_Y_TOLERANCErrrorrIrBr@rr:s "##$##'#!%V!V!  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(8)RrB ordered_charsc t|\}}}}|dd|ddz }|dd}|r jrn jrdnd}|dd} d} |s| ddkr t|}d} | ddkr | d dkrd } n | ddkDrd } d j fd |D|||||z|||| d } j D] } |d| | | <| S)Nrrr[uprightrrmatrixrZrc3bK|]&}jj|d|d(ywr3N)rr).0r"rvs r@ z,WordExtractor.merge_chars.. s.CPa##AfIqy9=s,/) r3rZr\r[rr]r directionrotation)rrrreversedrrr) rvrrZr[r\r] doctop_adjrrrrrrs ` r@ merge_charszWordExtractor.merge_charss$-m<CV"1%h/-2B52II "9-18$--d>O>OAVX q!(+6!9q=$]3MH !9q=VAY]H AY]HGGCPJ&"   ##C%a(-DI$ rBrdc|drQ|j}|j}|d}|d}|jr|d}|d}|d} nc|d }|d }|d } nP|j}|j}|d}|d}|jr|d}|d}|d} n|d }|d }|d } t | |kxs| ||zkDxs|||zkDS)aThis method takes several factors into account to determine if `curr_char` represents the beginning of a new word: - Whether the text is "upright" (i.e., non-rotated) - Whether the user has specified that horizontal text runs left-to-right (default) or right-to-left, as represented by self.horizontal_ltr - Whether the user has specified that vertical text the text runs top-to-bottom (default) or bottom-to-top, as represented by self.vertical_ttb - The x0, top, x1, and bottom attributes of prev_char and curr_char - The self.x_tolerance and self.y_tolerance settings. Note: In this case, x/y refer to those directions for non-rotated text. For vertical text, they are flipped. A more accurate terminology might be "*intra*line character distance tolerance" and "*inter*line character distance tolerance" An important note: The *intra*line distance is measured from the *end* of the previous character to the *beginning* of the current character, while the *inter*line distance is measured from the *top* of the previous character to the *top* of the next character. The reasons for this are partly repository-historical, and partly logical, as successive text lines' bounding boxes often overlap slightly (and we don't want that overlap to be interpreted as the two lines being the same line). The upright-ness of the character determines the attributes to compare, while horizontal_ltr/vertical_ttb determine the direction of the comparison. rr[rZr\r])rrrrr) rv prev_char curr_charryaycyaxbxcxs r@char_begins_new_wordz"WordExtractor.char_begins_new_words-N Y   A  A5!B5!B""t_t_t_o%o%o%  A  A4B4B  u%x(u%))&&)) "W R!V  R!V   rBc#~Kgdfd }|D]}|d}|js!|jr|dEd{5||jvr!||Ed{|dEd{dr&|jd|r||Ed{j |ryy7w7Z7L7&w)Nc3*Kr|gy|gywrrI)new_char current_words r@start_next_wordz:WordExtractor.iter_chars_to_words..start_next_wordls"""!)!12LzLsr3rr)risspacerrr)rvrrr<r3rs @r@iter_chars_to_wordsz!WordExtractor.iter_chars_to_wordsis  B"D.upright_keys) %% %rBrrrrZr) rrrirrrrrr) rvr!rupright_clusterr cluster_key subclustersscsort_keyto_yields r@iter_sort_charszWordExtractor.iter_sort_charss &c & /tE{KKO%a(3G&-(4K*K!8$:J:JK"#*4!"*X*>?07++D.>? !))-F #0 GZ"66zB '' 3Z@@C$1sBBcHtt|j|Sr)rrir )rvr!s r@extract_wordmapzWordExtractor.extract_wordmapstD44U;<==rBr!cHtd|j|D}|S)Nc3&K|] \}}| ywrrI)rrr s r@rz.WordExtractor.extract_words..sR2Q.dJT2Q)rir )rvr!wordss r@ extract_wordszWordExtractor.extract_wordss"R$2J2J52QRR rB)rFrGrHDEFAULT_X_TOLERANCErrrwrirrrrr rr rrIrBr@rrs~('!&"@ @:##JI   I V>(0A>>4DrBrr!c 6tdi|j|S)NrI)rr)r!kwargss r@rrs  "6 " 0 0 77rBc |jdditditDcic] }||vs|||c}}|j|}|jdit Dcic] }||vs|||c}}|Scc}wcc}w)NrTrI)updaterWORD_EXTRACTOR_KWARGSr rTEXTMAP_KWARGS)r!rk extractorwordmaptextmaps r@chars_to_textmaprs MM;%&!6 F!6A!v+1fQi.sag%y%9rBrr'r3rc|d |dfSr rIr!s r@rzextract_text..sqwh%%9rBrrc3LK|]}djd|Dyw)r'c3&K|] }|d ywrrI)rrs r@rz)extract_text...s&EtF|rN)rr)rr6s r@rzextract_text..s"XRW$chh&E&EERWs"$rrI)rmr,rrrtrrrrsortrrrrr) r!rrrrrrr"rr"s r@ extract_textr's ENE 5zQ zz(00:::jj0CD ! %:J%:a6kq&)|%:J ''. Qx +HH r> JJ9J :HH7Aai78E _ JJ9J :HH7Aai78E $E:h+?MEIIXRWXXE3HUO TOqqDy!c"9O TU )K88 !Us' E8 1E8  E=? FF line_charscd}d}t|tdD]!}||d||zkDr|dz }|d}||dz }#|S)NrrZrr'r\r3)rr)r( tolerancecolllast_x1r<s r@ collate_liner-sa DGzz$'78  d4jGi4G&H CKDt* V  9 KrBctddddtdddtffd }||}t||j S) u Removes duplicate chars — those sharing the same text, fontname, size, and positioning (within `tolerance`) as other characters in the set. fontnamesizerr3rrZr!c3Kt|}tj|D]V\}}tt |t dD]/}t|t dD]}t|d1Xyw)NrrrZr)rrrrrir) r! sorted_charsgrp grp_chars y_cluster x_clusterrpos_keyr*s r@yield_unique_charsz(dedupe_chars..yield_unique_charsse- '// #FNC,YH!5y "1z$/"I!8;;"GsA?Br)rririndex)r!r*r8dedupedrr7s ` @@r@ dedupe_charsr;sJ ZF ;C4(G <$ <!'G 'u{{ ++rBc@t|}|d|dk(rdnd|d<|S)Nr[r]hv orientation)r)r6edges r@ line_to_edgerAs+ :D"&u+h"?#cD KrBc ^tdDcgc] }t|c}\}}}}|jdd|d|ddd|jdd|d|d|d z|d |d zdd |jdd|d d d|jdd|dd d||||gScc}w)N rect_edgery1r[r=) object_typeheighty0r]r?rHrGr)rFrGrEr[rr?rZr>)rFwidthr\r?r\)rFrIrZr?)rrr)rectrr[r]leftrights r@ rect_to_edgesrMs49!H=HqT H=CuJJ&t*5k   MM&t*;h/8ntH~5    KK&t*   LL&t*   u %%I >sB*ct|d|ddd}|Dcgc]\}}dt|d|dt|d|dt|d|dt|d|d|d|dz zt|d|dt|d|dz t|d|dz |d|dk(rdn|d|dk(rdndd c}}Scc}}w) Nptsr curve_edgerrr[r>r=) rFrZr\r[rr]rIrGr?)ziprrr))curve point_pairsp0p1s r@curve_to_edgesrV<s eElE%L$45K" "FB(beRU#beRU#r!ube$"Q%A'5?U5\+IJ"Q%A'AA'"Q%"Q%-("$Q%2a5.3ber!unsRV "   sB0Ccf|d}d|vr|gS|dk(r t|gSttd||S)NrF_edger6)rJrR)rArMrV)objts r@ obj_to_edgesr[NsD MA!|u fS!""%?B3GGrBcldvr tddtffd }tt||S)N)r>r=NOrientation must be 'v' or 'h'rdc|ddk(rdnd}|dk(nd}duxs|dk(}t|xr |xr||k\S)Nr?r>rGrIrFTr)edim et_correctorient_correct edge_type min_lengthr?s r@testzfilter_edges..testasdM*c1hw6?6KQ}%2QU $,O-0@K0OJL>Lqv7KMMrB)rrrifilter)edgesr?rdrerfs ``` r@ filter_edgesriXs< **9::N4N tU# $$rBc|dk(rt|Dcgc]}|gc}St|dkrt|Dcgc]}|gc}Sg}tt|}|dg}|d}|ddD]2}|||zkr|j|n|j||g}|}4|j||Scc}wcc}w)Nrrr)rr,rir)xsr*rr| current_grouplasts r@ cluster_listrnjsA~#BZ(ZZ(( 2w{#BZ(ZZ(( F fRj BUGM a5D V  ! "   # MM- (CM  MM- M)(s B6 B;c ttt||}t|Dcgc]\}}|Dcgc]}||fc}}}}}t t j |Scc}wcc}}}wr)rnrisetrrrchain)valuesr*clustersr value_clusterval nested_tupless r@make_cluster_dictrw~suDV-y9HENhDWDW0@=]+]c#q]+DW  / 00 ,s A. A)A.)A.c F ts tt|}t|| tdtd}}t fd|D|}t j ||}|D cgc]\}} tt|| c} }Scc} }w)Nrrc3PK|]}|j|fywr)r)rr cluster_dictkey_fns r@rz"cluster_objects..s&Jr!a!1!1&)!<=rs#&r)callablerrsrwrrrri) rkr{r*rrget_0get_1cluster_tuplesgroupedrr>rzs ` @r@rrs F F# _F$VY7La=*Q-5EJrJPUVNE:G,3 4GDAqDUA G 44 4s:Baxisc4|dvsJ|dk(rd|d|zfd|d|zfg}|dk(rAd|d|zfd|d|zfg}d|vr|d|d|zfgz }d |vr|d |d |z fd |d |z fgz }|jt|jtzS) N)r=r>r=rZr\r>r[r]rrHrE) __class__tupleitems)rYrvalue new_itemss r@ move_objectrs :   s{ 3t9u$ % 3t9u$ %  s{ CJ& ' s8}u, -  s? 8S]U%:;< > ??rBattrcddddd|}t|}t|t||}|Dcgc],}tt t||t |z .}}t ||D cgc]&\}}|D cgc]} t| ||| |z c} (} }}} ttj| Scc}wcc} wcc} }}w)Nr=r>rZr\r[r]) rirrsumrsr,rQrrrq) objsrr*r list_objsrsclusteravgsavgrYsnapped_clusterss r@ snap_objectsrsS hD W $//LGS=DDGSS$c$i 0GD/  !12 33 XDs1B=3 C?CCCcggd}|D]}||dj|t|dd|}t|dd|}||zS)zs Given a list of edges, snap any within `tolerance` pixels of one another to their positional average. r>r=r?r>rZr=r[)rr)rhrrby_orientationr` snapped_v snapped_hs r@ snap_edgesrscB'N q'(//2^C0$ DI^C0%EI y  rBrc|dvsJ||}||z }||fg}|dk(r$||dksJ|jd|d|z fn|dk(r$||dk\sJ|jd||dz fn|dk(rZ||dksJ|jd|d|zf|jd|d|z fd |vr_|jd |d |z fnE|dk(r@||dk\sJ|jd|d|zfd |vr|jd |d |z f|jt|jt|zS) NrrZr\rIr[r]rrGrErH)rrrr)rYrr old_valuediffrs r@ resize_objectrs / // /CI 9 D e I d{D !!!'3t9u#456 D !!!'53t9#456 H %%%(CMD$89:(CMD$89: 3;   dCI$45 6 E """(CMD$89: 3;   dCI$45 6 ==syy{+eI.>> ??rBr?c.|dk(rd\}}n|dk(rd\}}n tdtt|t|}|dg}|dd D]F}|d }|||||zkr ||||kDs"t |||||d <6|j |H|S) z Given a list of edges along the same infinite line, join those that are within `tolerance` pixels of one another. r=)rZr\r>)r[r]r]rrrNr)rrirrrr) rhr?r*min_propmax_prop sorted_edgesjoinedr`rms r@join_edge_grouprs c'(  ,(9::u*X*>?@L1o F !" bz X;4>I5 6{T(^+*41X;Gr  MM!  MrBcd}|dkDs|dkDr t|||}t||}tj||}fd|D}t tj |}|S)z| Using the `snap_edges` and `join_edge_group` methods above, merge a list of edges into a more "seamless" list. c.|ddk(rd|dfSd|dfS)Nr?r=r[r>rZrI)r@s r@ get_groupzmerge_edges..get_groups-  # %e% %d$ $rBrrc3XK|]!\}}t||d|ddk(rn#yw)rr=N)r)rrrrOrPs r@rzmerge_edges..s?$HAu  1Q4adck*?O $s'*)rrrrrirq) rhrLrMrOrPr_sorted edge_groupsedge_gens `` r@ merge_edgesrss% !/!35"24DEU *G##G;K$ H (+ ,E LrBc(|d|d|d|ddS)zd Return the rectangle (i.e a dict with keys "x0", "top", "x1", "bottom") for an object. rrrr)rZr[r\r]rI)rs r@ bbox_to_rectr#s# q'$q'aDG LLrBc*tt|S)z Given an iterable of objects, return the smallest rectangle (i.e. a dict with "x0", "top", "x1", and "bottom" keys) that contains them all. )rrobjectss r@objects_to_rectr+s 0 11rBcpt|\}}}}t|t|t|t|fS)zk Given an iterable of bounding boxes, return the smallest bounding box that contains them all. )rQrr)bboxesrZr[r\r]s r@ merge_bboxesr4s5 v,BR GSXs2wF 44rBc4ttt|S)zd Given an iterable of objects, return the smallest bounding box that contains them all. )rrs bbox_getterrs r@rr=s K1 22rBword_thresholdc |t|tdd}tfd|}tt t |}t |dk(rgStt td|}tt td|}g}|D])}||||d|d||z dd|||d |d ||z ddgz }+|S) zi Find (imaginary) horizontal lines that connect the tops of at least `word_threshold` words. r[rc t|k\Srr,rrs r@rz"words_to_edges_h..Kc!f&>rBrrZr\r=)rZr\r[r]rIr?r]) rrrgrirsrr,rr) rrby_toplarge_clustersrectsmin_x0max_x1rhrs ` r@words_to_edges_hrEs UJu$5q 9F>GN _n5 6E 5zQ Z%u- .F Z%u- .F E  xE(&"  {H+&"    0 LrBc|\}}}}|\}}}} t||} t||} t|| } t||} | | z }| | z }|dk\r|dk\r||zdkDr| | | | fSy)Nr)rr)aba_lefta_topa_righta_bottomb_leftb_topb_rightb_bottomo_lefto_righto_bottomo_topo_widtho_heights r@get_bbox_overlaprns'($FE7H'($FE7H  F'7#G8X&H u EG%H1}A(W*.get_centersT$Z$t*,-11rBct| Srrrs r@rz"words_to_edges_v..s c!fWrBrc t|k\Srrrs r@rz"words_to_edges_v..rrBc36K|]}t|ywr)r)rr"rs r@rz#words_to_edges_v..sJ9IA&tQ/9Isr[r]r>rZr\r[r]rGr?) rrrrgrirsranyrrrr)rrby_x0by_x1r by_centerrssorted_clustersrrcondensed_bboxesoverlapcondensed_rects sorted_rectsrmin_top max_bottomrrs ` @r@words_to_edges_vr}s E:d#3Q 7E E:d#3Q 7E2 z15Iu}y(HX+<=O>PN#o~6 7FJ9IJJ  # #D )  ,(89OJt4DEFL Z%|4 5F#j'67GSH-|<=J AD'D'  7*     7*     s?E)c i}dDcgc]ttfd|c}\}}t|tddD]}t|tddD]}|d|d|zks|d|d|z k\s!|d|d|z k\s0|d|d|zks?|d|df} | |vrggd|| <|| dj ||| d j ||Scc}w) zi Given a list of edges, return the points at which they intersect within `tolerance` pixels. rc|dk(S)Nr?rI)ros r@rz(edges_to_intersections..sa .!3rBrZr[rr]r\r>r=)rirgrrr) rhrr intersectionsrv_edgesh_edgesr>r=vertexs ` r@edges_to_intersectionsrs! MFPFPV3U ;M&)f%c*11!4f%c*11!4>: !sC(ct|S)z0 Return the bounding box for an object. )r)rYs r@ obj_to_bboxrs s rBcdtffd ttjt dt ffd fdt t D}ttd|S)a8 Given a list of points (`intersections`), return all rectangular "cells" that those points describe. `intersections` should be a dictionary with (x0, top) tuples as keys, and a list of edge objects as values. The edge objects should correspond to the edges that touch the intersection. rdc d}|d|dk(r5||dj||d}t|ry|d|dk(r5||dj||d}t|ryy)Nc4ttt|Sr)rprsr)rhs r@ edges_to_setzCintersections_to_cells..edge_connects..edges_to_setss;./ /rBrr>Trr=F) intersectionr,)rUp2rcommonrs r@ edge_connectsz-intersections_to_cells..edge_connectss 0 a5BqE>!-"3C"89FF]2.s34F6{ a5BqE>!-"3C"89FF]2.s34F6{rBrcf| dz k(ry||}||dzd}|Dcgc]}|d|dk(s|}}|Dcgc]}|d|dk(s|}}|D]U} ||s |D]D} ||s |d|df} | vs | |s& | |s0|d|d| d| dfccSWycc}wcc}w)NrrrI) pointsrptrestrbelowrLbelow_ptright_pt bottom_rightrrn_pointss r@find_smallest_cellz2intersections_to_cells..find_smallest_cells 1  AYa!eg 2DqAaDBqEMD2 2DqAaDBqEMD2H X.!$R2 ( Xa[9 "]2%lH=%lH=qE2a5,q/<?KK"  %32sB)B)B.B.c30K|] }|ywrrI)rrrrs r@rz)intersections_to_cells..sJ7I!"61-7IsN)rrirkeysr,rrrg)rcell_genrrrrs` @@@@r@intersections_to_cellsrsf&&++-. /F6{Hc4KuS[7IJH tX& ''rBcHdtfd}t|}tg}g}t|rt|}t|D]}||}t|dk(r1t|z|j ||j |Jt fd|D} | dkDsdt|z|j ||j |t||k(r:|j t|j|jt|rt|r|j t|tt|dz ddD]} t} t} t} || D]/}| |z} | j|d| j|d1t| dks9t| dks+tj|j| ts|| =t|d }|S) z Given a list of bounding boxes (`cells`), return a list of tables that hold those cells most simply (and contiguously). rdc,|\}}}}||f||f||f||ffSrrI)rrZr[r\r]s r@bbox_to_cornersz(cells_to_tables..bbox_to_cornerss/"CVS B<"cRLAArBrc3&K|]}|v ywrrI)rr"current_cornerss r@rz"cells_to_tables..7s"NA1#7srrrr0c&td|DS)Nc30K|]}|d|dfyw)rrNrIrr"s r@rz4cells_to_tables....fs.GQ!ad|Qs)r)rZs r@rz!cells_to_tables..fs3.GQ.G+GrBr)rrirpr,rremoverclearrradd white_spaces issuperset get_textboxTEXTPAGEr)pagecellsr remaining_cells current_cellstablesinitial_cell_countr1 cell_corners corner_countrrx1_valsx0_valsr"rr s @r@cells_to_tablesr#s BB5kO eOM F o  /)D*40L=!Q&3|#44$$T*&&t, #"N"NN  !##s<'88O!((.#**40#*( } !3 3 MM$}- .  ! ! #    !5 o > = d=)*3v;?B + L%%A FA KK!  KK!  L1 7|a&&  %!q %,,V!GHG NrBceZdZdZy) CellGroupc X||_tttdt d|tttdt d|t ttdt d|t ttdt d|f|_yNrrrr)rrrsrrgrr)rvrs r@rwzCellGroup.__init__ksz JqM6$#67 8 JqM6$#67 8 JqM6$#67 8 JqM6$#67 8   rBN)rFrGrHrwrIrBr@r%r%js rBr%c eZdZy)TableRowNrErIrBr@r)r)urJrBr)ceZdZdZdZy) TableHeaderz9PyMuPDF extension containing the identified table header.c<||_||_||_||_yr)rrnamesexternal)rvrrr-aboves r@rwzTableHeader.__init__|s    rBN)rFrGrHrrwrIrBr@r+r+ys CrBr+ceZdZdZedZedefdZedefdZ edefdZ defdZ d dZ d Z d d Zy )TablecJ||_||_|j|_yr)rr _get_headerheader)rvrrs r@rwzTable.__init__s   &&( rBc |j}tttd|tttd|t ttd|t ttd|fSr')rrrsrr)rvr"s r@rz Table.bboxsa JJ JqM1% & JqM1% & JqM1% & JqM1% &   rBrdc t|jtdd}ttt t td|j}g}t j|tdD]Q\}}|Dcic]}|d| }}t|Dcgc]}|j|c}} |j| S|Scc}wcc}w)Nrrr) rrrrirprsrrr)rr) rvrrkrowsr row_cellsr1xdictrrows r@r7z Table.rowssAq)9: &SA ;<= >%--gz!}ELAy/89ytT!Wd]yE9"5"QEIIaL"56C KK F :5s  CC c,t|jSr)r,r7)rvs r@ row_countzTable.row_counts499~rBcxt|jDcgc]}t|jc}Scc}wr)rr7r,r)rvrs r@ col_countzTable.col_counts+$))4)QCL)4554s7c t}g}dtfd}|jD]}g}|Dcgc]}|||js|}}|jD]{} | d} nc|Dcgc]}||| s |} }t | r=| d|d<| d|d<d|vr| d| dz |d <| d | dz |d <t | fi|} nd } |j| }|j||Scc}wcc}w) Nrdc|d|dzdz }|d|dzdz }|\}}}}t||k\xr||kxr ||k\xr||kS)Nr[r]rrZr\r_)r<rv_midh_midrZr[r\r]s r@ char_in_bboxz#Table.extract..char_in_bboxsm%[4>1Q6E$Z$t*,1E"& BR"V52:VESLVuv~ rBrrrrrrrrrr)CHARSrr7rrr,r'r) rvrr! table_arrrCr:arrr< row_charsr1 cell_text cell_charss r@extractz Table.extracts+   99CC*/P%$<chh3O%IP < $I*3")2l46N":,0Gy),0Gy)#v-59!WtAw5FF>26:1gQ6GF?3$0$Fv$F $&  9%#"$   S !-0-Q "sC&C&C+.C+cd}|j}|j}|jDcgc]}|jDcgc]}|c}}}}t |D cgc]} t |D cgc]} dc} } } } t |D]9\} } t | D]&\} } |  t t|| | d| | | <(;|rt |D]2} t |dz D]} | | | dz| | | | | | dz<!4t |D]2} t |dz D]} | | dz| | | | | | dz| <!4t |jjD]P\} }|sd| dz}|jdd}|r%tj|jd d }||dzz }R|dz }|ddjd t |jDzd zz }|jjrd nd} | | dD]T} d}t | D]8\} } | d} |r%tj| jd d } || dzz }:|dz }||z }V|dzScc}wcc}}wcc} wcc} } w)a7Output table content as a string in Github-markdown format. If "clean" then markdown syntax is removed from cell content. If "fill_empty" then cell content None is replaced by the values above (columns) or left (rows) in an effort to approximate row and columns spans. |NT)r2rColrr-z-c3 K|]}dyw)z---NrI)rrs r@rz$Table.to_markdown..s F0E10Es z| rr)r<r>r7rrrrArr4r-replacehtmlescaperrr.)rvclean fill_emptyoutputr7colsrr" cell_boxesjrrr:r1namer6s r@ to_markdownzTable.to_markdowns~~~~59II>Iq!''*'Qq'*I >74#"/ *Q-"2T#E!HQK*, 4[taxAQxA.*/(1+aQ)! 4[taxAQU|A.*/(1+a!e Q)! !!2!23GAtQqSE{<<f-D{{4<<W#=> dSj F 4 $# Fdnn0E FFFNN%%A19CD$S>4<D;;t||C'ABDs "* DLD dNF}m+>-Bs.I3 I. I3I>. I9 7I>.I39I>c V ddl}i}|j}|j}|jj }t |}t|D]}||} | r d|||<|t t|k7r(t|D]}||} | d|k7s|d| ||<|js|dd}t|D]>}||} g} tt |D]} | j|| || || <@|j|S#t$r tdwxYw)z/Return a pandas DataFrame version of the table.rNz!Package 'pandas' is not installedrMrNr) pandasModuleNotFoundErrorrrJr4r-r,rrpr.r DataFrame) rvrpdpd_dictrJhdrr-hdr_lenrrYrrrXs r@ to_pandaszTable.to_pandass>   ,,.kk !!e*wA8D 9a  c#e*o %7^QxS9$"#AdV}E!H$ ||abkGwA(CE3w<( WQZ]+) GCL  ||G$$=#  7 8  s DD(c  (|j(|}(fd}(fd} |jd}|j}t|j}t |||jdd}t|jdkr|St|dkr|S|jd} td| jDr|S||} | r|| js|S||r|S|dd D cgc] } | | dnd } } |} d| _ |j| _ (jd | t d }t|Dcgc]<}|d D]2}|dD](}tj!|ds|dt"zs|*4>c}}}dd}g}g}g}t%t|D]}||}|dd}||ddz }|dt&z}|dk(r4|j)||j)||j)|`|d }|d }|d }|r|sn||z |kst+||z |ddz |kr%|dd||z |dd|f|d<|||<|r||d <||z d|zkDrn5|j)||j)||j)||gk(r|S|dd}|j|dz |dk\r|S| r|ds|S|gk(r|St-}|Dcgc]}|dd|d k\s|c}D] }||dz} |j.s|} |j| _ (jd| Dcgc]}t|dd}}tt1t3|D cgc]} | d c} d}!g}|!D]N}"| D# cgc]'}#|##|D]} | d|"k(r| d|#kr | d|#kDr|#| f )}$}#} |$gk(r|j)|"Nn|gk(r|S| }%|d |%_ |D cgc]&} | | d|%j| d|%jfnd(}&} |jd|%_|jd|%_|&D cgc]E} | ?(j9| j;ddj;ddj=ndG}'} t t?|%|&|'dS#t $rYywxYwcc} wcc}}}wcc}wcc}wcc} wcc} }#wcc} wcc} w) ajIdentify the table header. *** PyMuPDF extension. *** Starting from the first line above the table upwards, check if it qualifies to be part of the table header. Criteria include: * A one-line table never has an extra header. * Column borders must not intersect any word. If this happens, all text of this line and above of it is ignored. * No excess inter-line distance: If a line further up has a distance of more than 1.5 times of its font size, it will be ignored and all lines above of it. * Must have same text properties. * Starting with the top table line, a bold text property cannot change back to non-bold. If not all criteria are met (or there is no text above the table), the first table row is assumed to be the header. c t|jdj}|d|j d|j fz}j |j d}j |j d}||k7ryy)z Compare top row background color with color of same-sized bbox above. If different, return True indicating that the original table top row is already the header. rcliprTF)rr7rrG get_pixmapcolor_topusage)rvbbox0bboxt top_color0 top_colortrs r@top_row_bg_colorz+Table._get_header..top_row_bg_colorOs 1**+EQ q5<<-@@Ee4CCEaHJe4CCEaHJZ'rBcjdt|d}|Dcgc]}|dD]}|dD]}|}}}}td|DScc}}}w)atCheck if a row contains some bold text. If e.g. true for the top row, then it will be used as (internal) column header row if any of the following is true: * the previous (above) text line has no bold span * the second table row text has no bold span Returns True if any spans are bold else False. r)r$rgrrr c34K|]}|dtzyw)r$N)r )rss r@rz:Table._get_header..row_has_bold..jsBEqqzN2Es)get_textr r)rrrlrqr rs r@ row_has_boldz'Table._get_header..row_has_bold]sa]]6d]KHUF &O1' 1AgJqQJQ QEOBEBB BPsArNFrrc3$K|]}|du ywrrIrs r@rz$Table._get_header..s-*QqDy*srrrgr$rrr r3r$c|ddS)NrrrIrqs r@rz#Table._get_header..s !F)A,rBT)rreverserrg?rrfrC)ryrr'z r) rr7rrr IndexErrorr+rJr,allrHrErrr rrrr rr rr)ris_emptyrirprZr\rrPr/r))rvry_deltarnrtr:rrheader_top_rowrow2 top_row_boldr"col_xrgrrrsrqr select line_heights line_boldsrrEr=boldrHh0bold0nclipr" word_rectsr word_topsr[r intersectinghdr_bbox hdr_cells hdr_namesrs) @r@r3zTable._get_header6s,yy  C ))A,CIIE>D %T5$,,.2CUK tyy>A ! ! u:>! !yy| -$**- -! !$D)   TYY 7! ! D !" !;@*E*Q1D0*Eu''vDGQ  A7A7A ++AfI6z$99 $# '    s5z"AaA61BQvYq\!AW:.DAv b!##A&!!$'Bb!BrNETBw'!S"r'QvYq\)A%Bg%MvYq\27AfIaL"E& a%)JrNb38# MM"     "   d #A#D R<! ! 77VAY ,q/ 1! !  1 ! ! B;! ! "AUailfRj&@!UAA QvY EB~~D'',0==t=+LM+Lad1Ra5k+L M4:$>:aQqT:$> ?@$O CA=#AQ43;1Q4!8!q A$ r! c" R<! !5Rj  78mQqT8;;!hkk 2 M  iil iil   =  #++D#6>>tSIOOQ  5?Iy$GGK  BF NBN$> "  sI0R90SAS -SS S3 S,S#=+S)A S.9 SSN)FT)r)rFrGrHrwpropertyrrir7rr<r>rJrZrcr3rIrBr@r1r1s)   d36366$4$LDL"%H_HrBr1ceZdZUdZeed<dZeed<dZeed<dZ eed<e Z e ed<e Ze ed<e Ze ed <eZe ed <e Ze ed <e Ze ed <d Ze ed<eZe ed<eZe ed<d Ze ed<e Ze ed<e Ze ed<dZeed<ddZeddZ y) TableSettingsrvertical_strategyhorizontal_strategyNexplicit_vertical_linesexplicit_horizontal_linesrKrLrMrNrOrPrrQrRrSrTrUrV text_settingsc &tD]$}t||xsddkstd|ddD]=}t||dz}|tvst|ddj td|j i|_d D]:}||j vs|j j d d |j |<<d |j vr |j d =d D]/\}}t||tust||t||1|S) aClean up user-provided table settings. Validates that the table settings provided consists of acceptable values and returns a cleaned up version. The cleaned up version fills out the missing values with the default values in the provided settings. TODO: Can be further used to validate that the values are of the correct type. For example, raising a value error when a non-boolean input is provided for the key ``keep_blank_chars``. :param table_settings: User-provided table settings. :returns: A cleaned up version of the user-provided table settings. :raises ValueError: When an unrecognised key is provided. rzTable setting 'z' cannot be negative)r8vertical _strategyz_strategy must be one of{,})rrr*r))rLrK)rMrK)rOrN)rPrN)rUrT)rVrT) NON_NEGATIVE_SETTINGSgetattrrTABLE_STRATEGIESrrrrUNSETsetattr)rvsettingr?strategyrfallbacks r@ __post_init__zTableSettings.__post_init__,s7 -Gg&+!q0 ?7);O!PQQ-6Kt[;%>?H// "m$"234B86    %!#D 3D4---+/+=+=+A+A+q+Q""4(3 $,, ,"";/ ND(tT"e+dGD($;<  rBc||St||r|St|tr?i}i}|jD]\}}|dddk(r |||dd<|||<||d<|di|Std|)Nrztext_rzCannot resolve settings: rI)rhrrr)clssettings core_settingsrrr>s r@resolvezTableSettings.resolveas  5L # &O $ 'MM (1Ra5G#+,M!AB%('(M!$ ) .;M/ *'' '8 CD DrB)rdrr)!rFrGrHrstr__annotations__rrrirDEFAULT_SNAP_TOLERANCErKrrrLrMDEFAULT_JOIN_TOLERANCErNrOrPrQDEFAULT_MIN_WORDS_VERTICALrRDEFAULT_MIN_WORDS_HORIZONTALrSrTrUrVrrr classmethodrrIrBr@rrs$s$&&$(T(&*t*2NE2#e##e#2NE2#e##e#OU ::">%>$%E%&+e+&+e+M43jEErBrc*eZdZdZddZdefdZdZy) TableFindera0 Given a PDF page, find plausible table structures. Largely borrowed from Anssi Nurminen's master's thesis: http://dspace.cc.tut.fi/dpub/bitstream/handle/123456789/21520/Nurminen.pdf?sequence=3 ... and inspired by Tabula: https://github.com/tabulapdf/tabula-extractor/issues/16 Nctj||_tj ||_|j |_t|j|j j|j j|_ t|j|_ t|j|jDcgc]}t|j|c}|_ycc}wr)weakrefproxyrrrr get_edgesrhrrUrVrrrr#r1r)rvrr cell_groups r@rwzTableFinder.__init__sMM$' %--h7 ^^% 3 JJ MM 2 2 MM 2 2  ,D,>,>? .diiD D  $))Z (D   s C0rdc |j}dD]I}t||dz}|dk(st|d|zdz}t|dks9td|d|d |j}|j }|d k(s|d k(rt tfi|jxsi}ng}g}|jxsgD]} t| tr+t| D]} | d d k(s |j| >|j| | |jjd |jjd|jjd|jjd z d d|dk(rt!t"d } n?|dk(rt!t"d d} n'|d k(rt%||j&} n |dk(rg} ng} | |z} g} |j(xsgD]} t| tr+t| D]} | d dk(s | j| >| j|jjd|jjd|jjd|jjdz | | dd|dk(rt!t"d}n?|dk(rt!t"dd}n'|d k(rt+||j,}n |dk(rg}ng}|| z}t/| t/|z}t1||j2|j4|j6|j8}t!||j:S)N)rr8rrX explicit__linesrzIf z"_strategy == 'explicit', explicit_zD_lines must be specified as a list/tuple of two or more floats/ints.r3r?r>rrrrrWr6)rd)rr=r)rZr\rIr[r]r?)rLrMrOrP)re)rrr,rrrrrDrrrhrr[rrrJriEDGESrrRrrrSrirrLrMrOrPrQ)rvrr?rrv_strath_stratr v_explicitdescr`v_baser> h_explicith_baser=rhs r@rzTableFinder.get_edgess@==5Kx{)BCH:%+ *Ch*NOu:>$k]+$$/=1'( 6,,.. f 6 1!%JH,B,B,HbJEE 44::D$%%d+A'3."))!,,!!""#yy~~a0"&)).."3"&)).."3diinnQ6G"G'*   ;" g !%-F  &!%?F  %eH."s AfIaLrBrfontr0colorr!c|ddSrrI)r"s r@rzmake_chars..&s & ! rBroriginr"advr]rr/rGrncs DeviceRGBnon_stroking_colornon_stroking_patternNrFr< page_numberstroking_colorstroking_patternr3r[r)rIrZr\rHrE)numberrJrGtransformation_matrix get_textpageFLAGSrrrrrrrrrrr`rfr\rZrErHrrDr)rrgr page_heightctmr doctop_baser4r6ldirrrr9r/fontsizerr<rbbox_ctmrr3 char_dicts r@ make_charsrs++/K))""K  $ $C  d% 8H ]]9x] 8 BF +K'ND;D$q'1%uT!Wa'89DDGd1gXtAwQAFFAw!|tG}2HII<<#DM2"4=6LMMDV -D#czH"4>2S8F%xxFH%xxFH9D!Gtww0477AR! $''!!$''K"7!#H ! !$''DGG"3 ! !%- !{!-e!/!&v!&{!G4779J!)%!+D!! tww!!""7#!$"&477!2"gg"gg&kk&kk-!I0LL+?N J#rBc !"#$%|j$|j%|j}|jdk(xs|jdk(!j j "j"zjdz#j }jdvr|j\}} tdd| |}| t|}n|}$%fdd!$%fd } | |\} }$%fd  "#fd } |D]} | d }| d r6|ddd k(r+|d dd k(r |jd |d d|ddf|D]h}|ddvr |dd k(r5|dd\}}| | |||}|s*tjt|I|ddk(r_|dj}|j|kr|j|j kr~t!|j"|j$zdz }t'||j(}t'||j*}| | |||}|rtjt| |j |kr|j |jkr~t!|j*|j(zdz }t'|j$|}t'|j"|}| | |||}|rtjt|| | |j,|j.|}|rtjt|| | |j.|j|}|rtjt|| | |j|j0|}|rtjt|| | |j0|j,|}|stjt||d\}}}}| | |||}|rtjt|| | |||}|rtjt|| | |||}|rtjt|| | |||}|sKtjt|kdddd}| D]}| ||j,|j0|}|rtjt|| ||j.|j|}|rtjt|| ||j,|j.|}|rtjt|| ||j0|j|}|stjt||t3|t4t6fsJg}|D]G\}}t'|}t'|}| ||||}|s*tjt|I|t3|t4t6fsJg}|D] }t|}| ||j,|j.|}|rtjt|| ||j.|j|}|rtjt|| ||j|j0|}|rtjt|| ||j0|j,|}|stjt|y)NrWrrrrc"|jz |jcxkr|jzks4n|jz |jcxkr|jzkrgnnd|jz |jcxkr|jzks4n|jz |jcxkr|jzkryny|jz |jcxkr|jzks4n|jz |jcxkr|jzkrgny|jz |jcxkr|jzks4n|jz |jcxkr|jzkryyyy)aMDetect whether r1, r2 are neighbors. Defined as: The minimum distance between points of r1 and points of r2 is not larger than some delta. This check supports empty rect-likes and thus also lines. Note: This type of check is MUCH faster than native Rect containment checks. TF)rZr\rHrE)r1r2snap_xsnap_ys r@ are_neighborsz!make_edges..are_neighborsas6 EEFNbee 5ruuv~ 5uuv~8"%%&.8 EEFNbee 5ruuv~ 5uuv~8"%%&.89 EEFNbee 5ruuv~ 5uuv~8"%%&.8  EEFNbee 5ruuv~ 5uuv~8"%%&.89rBc v| j}n|dd}g}|D]B} r-|ddk(r%|dj kDr|dj kDr2|j|Dt t |Dcgc]}|d c}d}g}|r|d}d}|rYd }t t|d z dd D]8} |||s|||jz}|||jz}||=d}:|rYtj j|t s|j||d=|r||fScc}w) z:Detect and join rectangles of "connected" vector graphics.NrrrJc2|j|jfSr)rErZ)rs r@rz4make_edges..clean_graphics..sadd|rBrrTFrrr) get_drawingsrIrGrrrprr,tlbrrrrr)npathsallpathspathspprects new_rectsprect0repeatrrrWrrrs r@clean_graphicsz"make_edges..clean_graphicss` >((*HayHAfI$fIOOf,fI$$v- LLO61QvY67=ST AYFFs6{Q26A$VVAY7&),,.&),,."1I!% 7 **4+;+;FX+;+VW  (q !$%37s1 D6 )rct|j|jz ks%t|j|jz kryy)z'Check if line is roughly axis-parallel.TF)r)rr)rUrrrs r@ is_parallelzmake_edges..is_parallels: rttbdd{ v %RTTBDD[)9V)CrBcV ||siSt|j|j}t|j|j}t|j|j}t|j|j}||jkDs-||j ks||j kDs||jkriS||j kr |j }||jkDr |j}||jkr |j}||j kDr |j }||z }||z } || cxk(rdk(riSid|d |z d|d |z d|d| d||f||fgd |dd d d d dd d|dr|dn|d ddddddddd||| zd} | S)z;Given 2 points, make a line dictionary for table detection.rrZrHr\rErIrGrO linewidthstrokeTfillFevenoddrrrNrFr6rrr)r[r]r)rrrrr\rZrErH)rrUrrgrZr\rHrErIrG line_dict doctop_basisrrrs r@ make_linezmake_edges..make_lines2r"I rtt_ rtt_ rtt_ rtt_ <2<2<2<I <B <B <B <BRb F a I  " +"  "  +"  U  f   RHr2h'  7  d  E  u  AgJajAfI  !$  6  ; ! " #D# $<') ,rBr closePathrsrr)rsrequr)rrr)rrrIr)rLrMrQrrrJrGrrrrrrrA normalizerIr)r\rZrrHrErbltrrhrri)&rrgtsetr add_lines add_boxesreprectr"r=rrrrrrrUrrrJrrulurlllrpathrboxrrrrrWrrrrs&` @@@@@@@@r@ make_edgesrMs#  " "F  " "F%%J .0 6  # #~ 5))""K;;,L++/K IIE }} !xx1Q1a  Dz@- - ^#%0MFE 4l'  [>eAhqkS0U2Yq\S5H LL#uRy|U1Xa[9 :At,,ts{12B%aR6 LLi!891t~~'JJ*,dkk1IDGGdgg-.2Aq$''*Bq$''*B )!RT :I  \)%<=KK:-$++ 2JDGGdgg-.2Atww*Btww*B )!RT :I  \)%<=%a$''4@ LLi!89%a$''4@ LLi!89%a$''4@ LLi!89%a$''4@ LLi!89"#1BB%aR6 LLi!89%aR6 LLi!89%aR6 LLi!89%aR6 LLi!89O`q 9DdDGGTWWd;  LLi0 1dDGGTWWd;  LLi0 1dDGGTWWd;  LLi0 1dDGGTWWd;  LLi0 1")eT]333 B 2Y 2YdBD1  LLi0 1 )eT]333  IdADD!$$5  LLi0 1dADD!$$5  LLi0 1dADD!$$5  LLi0 1dADD!$$5  LLi0 1rBc |j}|j}|j}|dk(rBtdddd|j|jz |j z |j z d}nq|dk(rBtddddd|j|jz |j z |j z }n*tddddd|j zd|j z}||jz}dt|z}tj||d}|dvr4|\}} } } | |_||_| |_| |_|j||jd|j} |j} | | }||||fS)zNullify page rotation. To correctly detect tables, page rotation must be zero. This function performs the necessary adjustments and returns information for reverting this changes. rrrrs%g %g %g %g %g %g cm r)mediaboxrrrEr\rZrHderotation_matrixrr_insert_contents set_mediabox set_rotationparentr)rrrotmbmat0matcmdxrefrZrHr\rEdocpnos r@page_rotation_set0r&o sd}}H --C B byaAq"%%"%%-"%%"7"%%"?C aAq!RUURUU]RUU%:RUU%BCaAq"ruu*b255j9 '' 'C "U3Z /C  ! !$Q /D iBB "a ++C ++C s8D sH $$rBc|j}|j|d|j||j||j}||}|S)zPReset page rotation to original values. To be used before we return tables. )r update_streamrrr)rr#rrr$r%s r@page_rotation_resetr* sP ++CdD!hc ++C s8D KrBrrrvertical_lineshorizontal_linesrKrLrMrNrOrPrQrRrSrTrUrVcxgagattj}tjd|j dk7rt |\}}}}nd\}}}|t}|t}| t} | t} |t}|t}||}|}id|d|d|d|d|d |d |d | d | d | d| d| d|d|d|d|d|||d}tj|}||_ t||t||||||t||}tj||t||||}|S)NTr)NNNrrrrrKrLrMrNrOrPrQrRrSrTrUrVtext_tolerance)text_x_tolerancetext_y_tolerance)rrf)rgr rr r )rDrrrset_small_glyph_heightsrr&rrrtable_settingsrrrr*) rrgrrr+r,rKrLrMrNrOrPrQrRrSrTrUrVr.r/r0rr r r old_smallold_xrefold_rot old_mediaboxrr rs r@ find_tablesr7 s8 E EU2245I !!$' }}0B40H-h*:''<    '#( '#( $&.2 "> $%5  .  ,  , . , , ? 0  4 !"8 #$< #$rAsHT $! "       )),,6$$% bT    A1  udH5            4  ##L^!^!BTTn88D8#""7#5#56AAFFH)))-8CCHHJ D w 3F"    ,,d,. %&4%&PT$HH %  %$T(1D1 5d 5 @3@, 4S 4 4'&!$@C@68N6BM$M22533O&C&R 3M:C:z42;(|ODOd   y RHRHj  YEYE YExCCL*5,z_2D )%X  $&!2""2"" :">$%&*&*  3[[ [  [  [[[[[[[[[ [ "!["$#[$$%[rB