Wj UdZddlmZddlmZddlmZddlZddl Z ddl m Z m Z ddlmZdgdZ dhdidZdjdZdkd#Zdld(ZGd)d*Zed+kr5ddlZddlZddlZejd,-Zed.d/0ed1d20ed3ed4d56ed7ed8d96ed:edd;6ed6ed?ed@dA6edBdCgdDdEFedGedHdI6edJddKLeZ ee j!e j"e j#e j$e j%e j&MZ'ee j(Z(e j)ree j)ndZ)e)e)*dNdNOgZ+dPe,dQ<e j-D]|Z.e+/e0e(1dRe.e+/e0e(1dRe.2}e0e3e+Z+e+se4dSe(n!e)rdTndUZ5e4dVe6e+dWe5dXe+D]Z7ej8e9e7Z:e:e4dYe7j;2e7<dZZ=e=>rDe?e=d[5Z@ejAe@ZBdddn #1swxYwYd\e6eBd]ZCndZBd^ZCe'De:eBZEeB*eEjF#e6e'GeEjFneB e6eBndZHe4e7j;d_eCd`eHdae6eEjIdbe6eEjJ e'Ke:eEeBe jLcZMe)>e)e7jNdde7jOz ZPejQe9ePeMe4deePdfe7j;ZRejSeReMejTdejUeRdSdS)ma TableGridExtractorV1B.py Hybrid table grid extractor combining: - Rule-based candidate grid lines from bbox geometry (same as V1A). - V1-style heatmap threshold + 1D CCL to define active intervals. - A candidate line survives if its position falls inside any active interval; its confidence score is then 1.0. Lines outside every active interval receive score 0.0 and are discarded. Design philosophy ----------------- V1 : heatmap CCL determines position directly (coarse but fast). V1A : bbox geometry determines position; heatmap value at the position acts as a soft confidence filter. V1B : bbox geometry determines position (precise); heatmap CCL defines which regions are "active" at all (coarse region gate). A candidate that lands inside an active CCL interval is accepted unconditionally (score = 1.0). This separates localisation (rule-based) from region-level detection (heatmap CCL). bbox source priority -------------------- - Caller-supplied bboxes : used as-is. - bboxes=None : extracted automatically from the db_prob map produced by the same inference pass (same as V1A). ) annotations)Path)OptionalN)GridPredictionCellInfo) make_sessioncandidate_boundariessetall_cell_bboxeslistis_horizontal_coordboolmin_empty_gap_sizefloatreturnc X|sgStt|}t}tt |dz D]@}||}||dz}||z } | dkr"d} |D]} | \} } }}|rlt | |z |kpAt ||z |kp+t | |z |kpt ||z |k}|sf||kr | |krd} nmwt | |z |kpAt ||z |kp+t | |z |kpt ||z |k}|s||kr | |krd} n| r5|tt||zdz Btt|S)z Derive grid lines from candidate boundary coordinates by detecting empty strips between cell bboxes (V3 algorithm, unchanged from V1A). rrTF) sortedr r rangelenabsaddintround)r r rrsorted_boundaries final_linesicoord1coord2gap_sizeis_empty_stripbboxbx1by1bx2by2same_rowsame_cols /Users/tedpeters/Documents/Projects/Claude Projects/TPC Houses/house-viewer/.venv/lib/python3.11/site-packages/pymupdf/layout/onnx/TableGridExtractorV1B.py_find_grid_lines_by_empty_spacer+-s  t$899::%%K 3())A- . .%?%?"1%"1q5)F? a<< #  D!% Cc3" f %%);;<f %%);;<f %%);;<f %%);;   < > > ${## $ $$@bboxesorig_hrorig_wgrid_margin_pxtuplecht}t}g}|D]f}|\}} } } tt|tt| } } tt| tt| }}td| td| } } t ||t ||}}|| ks|| kr|| z }|| z }|dkrdnd}|dkrdnd}| |z}| |z}||z }||z }|||||g||||||||ht||d|}t||d|}|||fS)z Derive candidate h/v grid lines from cell bboxes (unchanged from V1A). Returns ------- (candidate_h_lines, candidate_v_lines, cells_bbox_shrunk) rrT)rrF)r rrmaxminappendrr+)r.r/r0r1all_h_boundariesall_v_boundariescells_bbox_shrunkr#x1_fy1_fx2_fy2_fx1y1x2y2whx_shrinky_shrinksx1sy1sx2sy2h_linesv_liness r*extract_candidate_gridrMgs EEEE""!%dD$U4[[!!3uT{{#3#3BU4[[!!3uT{{#3#3BQSBZZBVR#fb//B 88rRxx  G GQ11AQ11A8m8m8m8m  #sC!5666S!!!S!!!S!!!S!!!!-+ )G .+!)G G. ..r,heatmap np.ndarray thresholdlist[tuple[int, int]]c||k}g}d}d}t|D].\}}|r|sd}|}|s|r|||dz fd}/|r'||t|dz f|S)a Apply threshold to a 1D heatmap and return the (start, end) pixel intervals of every connected active component. Parameters ---------- heatmap : 1D float32 array (already resized to image pixel space) threshold : minimum activation value Returns ------- List of (start_px, end_px) tuples, inclusive on both ends, sorted by start position. FrTr) enumerater7r)rNrPactive intervalsin_group group_startr is_actives r*_ccl_1d_active_intervalsrYs$ !F')IHK!&)) 9  X HKK x    k1q51 2 2 2H:+s7||a'78999 r, positions_pxrUtuple[np.ndarray, np.ndarray]ctjt|tj}tjt|tj}t|}t |D]M\}}|t t ||dz ||<|D]\}} ||cxkr| kr nd||<nN||fS)ak Assign score 1.0 to each candidate position that falls inside at least one CCL active interval; assign 0.0 otherwise. Also return the heatmap value at each candidate position for top_k ranking. Parameters ---------- positions_px : list of integer candidate positions in pixel space intervals : list of (start, end) active intervals from CCL heatmap : 1D float32 heatmap array in pixel space Returns ------- gate_scores : np.ndarray of float32, 1.0 if inside interval else 0.0 heat_scores : np.ndarray of float32, heatmap value at each candidate position dtyper?)npzerosrfloat32rSr6r) rZrUrN gate_scores heat_scoresnrposstartends r*"_score_candidates_by_ccl_intervalsris*(3|,,BJ???K(3|,,BJ???K G AL))3 SXXq1u!5!56 A#  JE3""""s"""""!$ A#  ##r,linesheat_mapdicttop_kc t}|D]N\  fd|D}|st|fdd}|d|D]}||Ot|S)a Within each CCL active interval, retain at most top_k candidates ranked by their heatmap value (highest first). Candidates not covered by any interval are passed through unchanged (they have already been gate-filtered before this call, so in practice none should remain). Parameters ---------- lines : list of candidate positions that passed the CCL gate intervals : list of (start, end) active intervals heat_map : dict mapping position -> heatmap value for each line top_k : maximum number of candidates to keep per interval Returns ------- Sorted list of surviving candidate positions. c4g|]}|cxkrknn|Srp).0yrhrgs r* z-_apply_top_k_per_interval..s:999u'8'8'8'8S'8'8'8'8'81'8'8'8r,c0|dS)N)get)rrrks r*z+_apply_top_k_per_interval..sx||As7K7Kr,T)keyreverseN)r rr) rjrUrkrmkeptmembersmembers_sortedrrrhrgs ` @@r*_apply_top_k_per_intervalr}s.D s99999e999  -K-K-K-KUYZZZ'  A HHQKKKK  $<<r,ceZdZdZ d2d3dZd4dZd5dZed6d#Z d7d8d&Z d9d:d*Z d;d-Z dTableGridExtractorV1Ba Hybrid table grid extractor (V1B). Candidate grid lines are derived from cell bbox geometry (V3 rule-based algorithm, same as V1A). Active regions are determined by applying V1-style heatmap threshold + 1D CCL. A candidate line is kept (score = 1.0) if and only if it falls inside a CCL active interval; otherwise it is rejected (score = 0.0). This decouples localisation (bbox geometry, pixel-accurate) from region detection (heatmap CCL, coarse but model-driven). When bboxes=None is passed, cell bboxes are extracted automatically from the db_prob map produced by the same inference pass (same as V1A). 333333?皙?r-333333? rN onnx_path str | Pathh_on_thresholdrv_on_thresholdr1db_prob_threshold db_min_arearrm providers list | NonerNonec |dg}t||_||_||_||_||_||_||_tt|j||_ |j d} t| j d|_t| j d|_d|j D} | d|_| d|_d | vr| d nd|_t+jd d|j|jft*j } |j dd | i} t| |jj d |_t| |jj d |_dS) a2 Parameters ---------- onnx_path : path to exported GridModelV1 .onnx file h_on_threshold : heatmap activation threshold for h CCL intervals v_on_threshold : heatmap activation threshold for v CCL intervals grid_margin_px : alignment tolerance for candidate grid extraction db_prob_threshold : binarization threshold for automatic DB bbox extraction db_min_area : minimum contour area (px) accepted during DB extraction top_k : max candidates kept per CCL interval ranked by heatmap value; candidates beyond top_k are dropped. Use 0 or a negative value to disable (keep all). providers : ONNX Runtime execution providers NCPUExecutionProviderrrr4cg|] }|j Srp)name)rqos r*rsz2TableGridExtractorV1B.__init__..LsAAA1AAAr, h_heatmap v_heatmapdb_probrr]image)rrrrr1rrrmr str_sess get_inputsrshape_input_h_input_w get_outputsindex_idx_h_heatmap_idx_v_heatmap _idx_db_probr`rarbrun_out_h_out_w) selfrrrr1rrrmrinp output_namesdummyoutputss r*__init__zTableGridExtractorV1B.__init__!s2  /0I!%i!/!/!/!2!,!& !#dn"5"5yAA j##%%a(CIaL)) CIaL)) BA (>(>(@(@AAA *00==*00==?HL?X?Xl00;;;^b(Aq$-?rzRRR*..'788'$"56= db_min_area as [x1, y1, x2, y2] boxes. rN) rrrr`uint8 findContours RETR_EXTERNALCHAIN_APPROX_SIMPLE contourArear boundingRectr7) rrrbinarycontours_r.contourareaxrrrCrDs r*_extract_bboxes_from_dbz-TableGridExtractorV1B._extract_bboxes_from_dbs  !77??IICO&c& C%s'>  ! 0 0G"3?7++Dd&&&))'22JAq!Q MM1aQA. / / / / r,rj list[float]centers image_sizec |s|St|}d}|r/d}|sn)dg|zt|gz t dz } fdt|D}|dr|ddkrd|d<d}j|dr|r|d}g}d}tt|D]t} |rd}|| dz} | rE| dzt|kr/||| || dzzdz d}d}Y||| ut|}|/|S) z Remove adjacent line pairs that have no bbox center between them. Behaviour is identical to V1A._filter_empty_lines. TFrurcLg|]tfdD  S)c3VK|]#}|cxkodzkncV$dS)rNrp)rqcedgesrs r* zGTableGridExtractorV1B._filter_empty_lines...sKEEa13333uQU|3333EEEEEEr,)any)rqrrrs @r*rsz=TableGridExtractorV1B._filter_empty_lines..sMEEEEEWEEEEEEr,rr@)rrrrpopr7) rjrrcurrentchangedn_gaps gap_emptymerged skip_nextrgap_right_emptyrs ` @r*_filter_empty_linesz)TableGridExtractorV1B._filter_empty_liness L--# %G UW_j(9(9'::EZZ!^FvI |  c 1 1  }   "$FI3w<<(( . . %I"+AE"2".q1us7||';';MM71:A#>#"EFFF $I $GGMM'!*----VnnGG# %Jr,r.rc 4|jdd\}}||\}}}|&|td||}t ||||j\}} } t ||j} t ||j} t|| |\t| | |\dt|D} dt| D}|j dkrffdt|D}fdt| D}t| | ||j } t|| ||j }tt| t|||| S) a Derive candidate grid lines from bboxes and gate them by V1-style CCL active intervals extracted from the heatmap. Scoring rule ------------ - Build CCL active intervals from the resized heatmap using threshold. - Candidate line position falls inside an interval -> score = 1.0 (kept). - Candidate line position falls outside all intervals -> score = 0.0 (dropped). Parameters ---------- image_bgr : cropped table BGR image (any size) bboxes : list of [x1, y1, x2, y2] cell bbox pixel coordinates. When None, extracted automatically from the db_prob map. Returns ------- GridPrediction with filtered h/v lines and binary confidence scores. Nrzcbboxes=None requires the ONNX model to export 'db_prob', but it was not found in the model outputs.c$g|] \}}|dk |Srurprqrrss r*rsz6TableGridExtractorV1B.predict_grid..!BBBA!c''1'''r,c$g|] \}}|dk |Srrprqrrs r*rsz6TableGridExtractorV1B.predict_grid..rr,rcZi|]'\}}|dk|t|(Srr)rqrrrh_heath_scoress r* z6TableGridExtractorV1B.predict_grid..$FNNN"a8A;;L;LU6!9--;L;L;Lr,cZi|]'\}}|dk|t|(Srr)rqrrv_heatv_scoress r*rz6TableGridExtractorV1B.predict_grid..&rr,rKrLrr h_confidences v_confidencesr)rr RuntimeErrorrrMr1rYrrriziprmrSr}rr)rrr.r/r0rrrcand_hcand_vr h_intervals v_intervalsrKrL h_heat_map v_heat_maprrrrs @@@@r* predict_gridz"TableGridExtractorV1B.predict_grids2#!,,0,?,? ,J,J) 9k >""A11+>>F3 FFD$7   /y$:MNN .y$:MNN >fkS\]]&=fkS\]]&CBVX!6!6BBBBBVX!6!6BBB :>>NNNNN&/&7&7NNNJNNNNN&/&7&7NNNJ0jRVR\]]G/jRVR\]]G7OO7OO""#    r,皙?textsspan_thresholdc  t|ttjfrt |dkr|jdd\}}||\}}}tggtj|tj tj|tj tj gtj tj gtj |gfS| ||} |$| j | | j ng} nt|} | s| gfSt|jd} t|jd} td| D} td| D}|| j|| }|| j| | }t||| j| j| j| j| j } tj| tj }||| | }|9|D]6}d|jcxkrt |krn$||j|_7| |fS) a7 Predict grid and assign bboxes to grid cells. Parameters ---------- image_bgr : cropped table BGR image bboxes : list of [x1, y1, x2, y2] in crop space, or None to extract bboxes automatically from the DB output. An empty list bypasses all processing. texts : text strings aligned with bboxes span_threshold : fractional overlap to trigger span expansion Returns ------- (GridPrediction, list[CellInfo]) rNrr]rrc3rK|]2}t|dt|dzdz V3dS)rrrNrrqbs r*rz0TableGridExtractorV1B.predict..h@UUq%!++ad 3s:UUUUUUr,c3rK|]2}t|dt|dzdz V3dS)rr4rNrrs r*rz0TableGridExtractorV1B.predict..irr,) bboxes_pagegridr) isinstancer r`ndarrayrrrrrarbarrayrrrrrrrKrLrrrrasarray_post_process_gridbbox_idxtext)rrr.rrr/r0rrr effective_bboxescrop_hcrop_wcx_listcy_list filtered_h filtered_v bboxes_arrcellscells r*predictzTableGridExtractorV1B.predict6s. ftRZ0 1 1 c&kkQ6F6F&_RaR0NFF $ 3 3I > > Aq+!(6<<<(6<<< hr<<< hr<<<'   F33 >#/ $;;D||||dz z }|d kr||| z |z |kr |dz }|dz}nn|d k>|}|t |dz krQ||dz||z }|d kr |||dzz |z |kr |dz}|dz }nn|t |dz kQ|}|d kr>||||dz z }|d kr||| z |z |kr |dz }|dz}nn|d k>|}|t |dz krQ||dz||z }|d kr |||dzz |z |kr |dz}|dz }nn|t |dz kQ| t| ||||||| S)Nrrurrr_rfrrr rrctt|dz D]%}|||cxkr||dzkrn!|cS&tdt|dz S)Nrrr)rrr5)rfrrs r* find_cell_idxz?TableGridExtractorV1B._post_process_grid..find_cell_idxsy3u::>**  8s1111U1q5\11111HHH2q#e**q.)) )r,rr4r)r row_startrow_end col_startcol_endrowcol)rfrrr rr) rKrr5rLrSrrr7r)rrr rlast_h row_edgeslast_v col_edgesrresultsrr#x0y0r?r@cxcybase_rowbase_colrr r!r"rrDrrCs r*rz(TableGridExtractorV1B._post_process_grids < #DL))"-Ft| 4 44FQJQR 8S8S7TTIIc I < #DL))"-Ft| 4 44FQJQR 8S8S7TTIIc I * * * *  --2 2 GAttAwBtAwBtAwBtAwBr'SBr'SB$}R33H$}R33H!)8aII!eGFAA c)nnq(((Aa%%aL9QU#33q55ilR/14~EE !AIFAA a%%Ac)nnq(((a!e$y|3q55b9QU#33q8>II!eGFAA c)nnq((( NN8i#W(     r,predmax_dimc ddl}|jdd\}}|t|}n$|j||j}ng}t ||||j\} } } t|j|j } t|j |j } t| | |j\}} t| | |j \}} t|j}t|j}|}|}| D]\}}|j|d|f||fdd| D]\}}|j||df||fdd|j|d|dd||D]+}d|D\}}}}|j|||f||fd d ,t'| |D]\}}t)t+|}||vrG|j|d|f||fd d |j|d dt1|dz d f|jdd d l|j|d|f||fdd |j|ddt1|dz d f|jddd t'| |D]A\}}t)t+|}||vrdnd} |j||df||f| d Bt5j|jddt4jfd |f}!|j|!dzddt4j |j!}"| D] \}}|j|"d|f|d z |fdd !| D]>}t)t+|}||vrd nd} |j|"d|f||f| d ?|j|"d|j dd|jddd t5j|j t4jddf|d f}#|j|#dzddt4j |j!}$| D] \}}|j|$|df||d z fdd !| D]>}t)t+|}||vrd nd} |j|$|df||f| d ?|j|$d|j dd|jddd |j|j|jdzddt4j |j!}%|j"|%||f|j#}%|D]+}d|D\}}}}|j|%||f||fdd ,|j|%d|j$ddtK|d|jddd |%}&nt5j&||dft4j }'dt'| |Dd t'| |Dz}(tK|(})|)dkrwt1d ||)z}*tO|(D]T\}+\},}-}.|+|*z}/|/|*zd z }0t)|-|d!z z}1|.rd"nd#} |-d$krd%} |j|'|/||1z f|0|f| dU|j|'d&d|jd'd(d |'}&t5j(||"gd )}2t5j(|$|&gd )}3t5j(|2|3gd)}4|4jdd\}5}6|5|ks |6|dzkrotS||5z |dz|6z }7|j"|4t1d t)|6|7zt1d t)|5|7zf|j*}4|4S)*a Visualize V1B results: CCL active intervals, candidates, kept/rejected lines, and heatmaps. Layout (2x2) ------------ (1,1) image + kept lines (green h, orange v) + rejected candidates (red) + bbox rectangles (cyan) + CCL interval bands (semi-transparent yellow overlay) (1,2) h_heatmap tiled to 2D with CCL interval bands and candidate h line positions marked (2,1) v_heatmap tiled to 2D with CCL interval bands and candidate v line positions marked (2,2) db_prob_map heatmap when available; confidence bar chart (binary 0/1) otherwise Parameters ---------- image_bgr : original BGR image pred : GridPrediction from predict_grid() or predict() bboxes : bbox list for candidate overlay; falls back to DB extraction from pred.db_prob_map when None max_dim : maximum single-panel dimension before downscaling rNr)rr5rrg333333?cFg|]}tt|Srprrrqvs r*rsz3TableGridExtractorV1B.visualize..#s$:::c%((mm:::r,)rrrr)rrrz1.0gQ?)rrrz0.0)rrr)rrrzh_thr=z.2f)gffffff?zv_thr=rcFg|]}tt|Srpr7r8s r*rsz3TableGridExtractorV1B.visualize..]s$!>!>!>A#eAhh--!>!>!>r,zdb_thr=z n=r4r]cg|] \}}||df S)Trprs r*rsz3TableGridExtractorV1B.visualize..hs"AAA41a!QAAAr,cg|] \}}||df S)Frprs r*rsz3TableGridExtractorV1B.visualize..is"AAA41a!QAAAr,)rr)rBdrr_)rrz+Score: green=h(1.0) orange=v(1.0) red=0.0r)rBrBrB)axis)+rrr rrrMr1rYrrrrrir rKrLcopy rectangle addWeightedrrrlineputTextr5FONT_HERSHEY_SIMPLEXr`tiler applyColorMapcliprr COLORMAP_JETrrrrrarS concatenater6 INTER_AREA)8rrr2r.r3rr/r0 vis_bboxesrrrrrrrkept_hkept_voverlay band_overlayrgrhr#r?r@rArBrrryprxpcolorh_2dh_panelv_2dv_paneldb_panel bottom_right bar_panel all_linesrebar_widxrfscoreis_hr$r&bar_h_pxtop_rowbot_rowcomposedchcwscales8 r* visualizezTableGridExtractorV1B.visualizesP >  "!,  fJJ   )55d6FGGJJJ3 (;  /t~t?RSS .t~t?RSS 8dn]] !8dn]] !T\""T\""..""||~~ % - -JE3 CM,E VSM' - - - -% - -JE3 CM, S&M' - - - - dGT1gFFF I ID::T:::NBB CM'B8b"X}a H H H H)) L LDAqU1XXBF{{1b'FB<aHHH GUQBFA,?4dKLLLL1b'FB<aHHH GUQBFA,?4dKLLLL)) ? ?DAqU1XXB%&&[[MMkE CHWr1gF|UA > > > >wt~aaam4q&kBB### CZ  a % % , ,RX 6 68H  & . .JE3 CM'Au: C/@)1 . . . . ? ?AU1XXB#$;;KKKE CHWq"g|UA > > > > G?d&9???S5t_a Q Q Qwt~bj!!!m4vqkBB### CZ  a % % , ,RX 6 68H  & . .JE3 CM'E1:VaZ/@)1 . . . . ? ?AU1XXB#$;;KKKE CHWr1gF|UA > > > > G?d&9???S5t_a Q Q Q   '(s(!C'--a55<!>!>!>!>BB hR2r(OQOOOO CKK$0KKK#j//KK14!    $LL&&!!4BHEEEIAA3vx+@+@AAAAA3vx+@+@AAAB IA1uuAv{++/8/C/C - -+C+#ud+C+/C"5FRK#899H+/BKK]Es{{ +!CM)#&(9":S&M"'---- CK #P!93QR T T T$L>7W"5CCC>7\":CCC>7W"5!DDD#B <<2! ++7R<1r)9::E!szQBJ((#aR%Z*A*AB!nH r,)rrr-rrrN)rrrrrrr1rrrrrrmrrrrr)rrOrr2)rrOrr )rjrrrrrrr)N)rrOr.rrr)NNr) rrOr.rrrrrrr2)rrOr rrrrr )Nr1) rrOr2rr.rr3rrrO) __name__ __module__ __qualname____doc__rrr staticmethodrrrrrmrpr,r*rrs-&!% # ##&!%3A3A3A3A3Ar31313131r:444\4z#I I I I I \#! # NNNNNhMMMMn# nnnnnnnr,r__main__a!Run TableGridExtractorV1B on all images in a directory. When a JSON sidecar (.json) exists next to the image, the bboxes stored in it are used directly. When no sidecar is found, bboxes are extracted automatically from the DB probability map output of the model (DB auto mode).) descriptionrz-Path to the exported GridModelV1 .onnx model.)help image_dirz"Directory containing input images.z--h_on_thresholdg?z=Heatmap CCL threshold for h active intervals (default: 0.25).)typedefaultruz--v_on_thresholdg?z zTableGridExtractorV1B - ) r r r r rrrrrr )r-) r.r r/rr0rr1rrr2)rNrOrPrrrQ)rZr rUrQrNrOrr[) rjr rUrQrkrlrmrrr )Vrq __future__rpathlibrtypingrnumpyr` onnxruntimeorttable_grid_typesrr common_utilr r+rMrYrir}rrnargparsejsonrArgumentParserparser add_argumentrr parse_argsargsrrrr1rr extractorrvsave_dirmkdirr__annotations__ extensionsextextendrglobupperr printmoderimg_pathimreadrimg_bgrr with_suffix json_pathexistsopenfloadr. bbox_sourcerr2rrn_boxesrKrLrmr3ristemsuffixout_pathimwrite window_titleimshowwaitKey destroyWindowrpr,r*rsS8#"""""66666666%%%%%%7%7%7%7%| 6/6/6/6/6/z""""J$$$$BL{ { { { { { { { D zOOOKKKJJJ $X $ IF  *YZZZ  *NOOO  L  K  V E3 Q c2 O c<<< -  #t L d Y     D%%.***0$ IT^$$I'+}>T]###$Htd333IEE zCzz : :;;<<< /ACIIKK/A/A B BCCDDDDss9~~&&I A 0Y001111#Pxx)P ?ss9~~?????@@@#,#,#*SS]]++ ? E1(-11 2 2 2 ((11      $i%% &"1 & & & & & & & & & & & & & & &:cc&kk:::KKF#K%%gv66^(8(D#i778HIIJJJ"("433v;;;!  } H H{ H H H Hs4<(( H H47C 4E4E H H   &&wVT\&ZZ  X]"M"MHO"M"MMH CKH x 0 0 0 E*** + + + +EhmEEL CJ|X . . . CKNNN C l + + + +aZ#,#,s)MM M