From 0cb02865a696bce0ad8b24899097abec81da2c69 Mon Sep 17 00:00:00 2001
From: David de Hilster <dehilster@gmail.com>
Date: Sun, 26 Jul 2026 11:47:17 -0400
Subject: [PATCH] docs(help): parse-tree help page and graphic announcement
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Adds vscode/parsetrees.md — a full guide to parse trees in VS Code: where
the .tree files land, how to read a tree line, the text-file right-click
actions (Highlight text on any node, Display Rule Fired, Generate @PATH,
Open Pass File, fold/unfold), and the parse-tree graphic (three ways to
open it, zoom/pan/shift-scroll controls, drill-down default, per-level
label staggering, and the right-click menu incl. Reveal Text on any node).

Adds an announcement (vscode/announcements/2026-07-26-parse-tree-graphic.md)
introducing the graphic, with a screenshot, linking to the new page.

Links the page from the Getting started list on vscode/home.md.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
---
 .../2026-07-26-parse-tree-graphic.md          |  88 +++++++++++++
 .../vscode/announcements/ParseTreeGraphic.png | Bin 0 -> 18702 bytes
 Help/markdown/vscode/home.md                  |   1 +
 Help/markdown/vscode/parsetrees.md            | 122 ++++++++++++++++++
 4 files changed, 211 insertions(+)
 create mode 100644 Help/markdown/vscode/announcements/2026-07-26-parse-tree-graphic.md
 create mode 100644 Help/markdown/vscode/announcements/ParseTreeGraphic.png
 create mode 100644 Help/markdown/vscode/parsetrees.md

diff --git a/Help/markdown/vscode/announcements/2026-07-26-parse-tree-graphic.md b/Help/markdown/vscode/announcements/2026-07-26-parse-tree-graphic.md
new file mode 100644
index 0000000..3ced5a4
--- /dev/null
+++ b/Help/markdown/vscode/announcements/2026-07-26-parse-tree-graphic.md
@@ -0,0 +1,88 @@
+# 📢 Announcement — See Your Parse Tree
+
+![NLP++ parse-tree graphic](ParseTreeGraphic.png)
+
+**Every `.tree` file your analyzer writes can now be drawn as a classic linguistic tree
+diagram** — right inside VS Code, beside the text file it came from.
+
+NLP++ has always given you the parse tree as text: one indented line per node, with its
+span and type. That's precise, and it's still there. But a tree is a *picture*, and now you
+can see it as one — phrases branching over their words, exactly the way a linguist would
+draw it on a whiteboard.
+
+---
+
+## Opening the graphic
+
+From any `.tree` file:
+
+- 🌲 **The tree button** in the editor title bar — draws the whole tree.
+- 🖱️ **Right-click → Graph Entire Tree** — the same thing, from the context menu.
+- 🖱️ **Right-click → Graph Selected Portion of Tree** — draws just the **selected lines**,
+  or, with nothing selected, the **subtree under your cursor**. Perfect for looking at one
+  noun phrase in a 400-node tree.
+
+The graphic is strictly on-demand: opening a `.tree` file never draws anything on its own,
+so tree files still open instantly. And it re-uses a single panel, so asking for another
+tree replaces the one you're looking at instead of piling up tabs.
+
+---
+
+## Getting around the tree
+
+The whole diagram is live. The hint bar along the bottom sums it up, but here it is in full:
+
+| Do this | Get this |
+| --- | --- |
+| **Scroll** | Zoom in and out |
+| **Shift + scroll** | Squeeze or spread the horizontal spacing between nodes |
+| **Drag** | Pan around the canvas |
+| **Click a phrase node** | Open **one level** — just that node's children |
+| **Click a word (leaf)** | **Reveal it in the text** — selects that word in the input file |
+| **Right-click** | Menu (below) |
+
+Trees open with the root expanded and everything else closed, so you **drill down one node
+at a time** rather than being hit with hundreds of tokens at once. Small trees (roughly 30
+nodes or fewer) open fully, and every tree is fit to the window when it opens.
+
+Labels don't collide, either: at **every level** of the tree, labels that would overlap are
+staggered into the minimum number of extra rows needed — and they drop back onto a single
+line as soon as they fit, or as soon as you spread the tree out with Shift + scroll.
+
+---
+
+## The right-click menu
+
+Right-click anywhere in the graphic:
+
+- **Reveal Text** — on **any** node, word or phrase. Selects that node's whole span in the
+  analyzed text file. Right-click an `_np` and the entire noun phrase lights up.
+- **Expand all below** / **Collapse all below** — open or close an entire subtree at once
+  (shown on nodes that have children).
+- **Center all** — fit the whole tree back into the window.
+- **Expand all** / **Collapse all** — open or close the entire tree.
+
+---
+
+## The text `.tree` file still does everything it did
+
+The graphic is an *alternative* view, not a replacement. In the `.tree` file itself, put
+your cursor on **any node line** and right-click:
+
+- **Highlight text** — selects that node's text in the input file and opens it beside the
+  tree. Works on any node, at any depth — click a phrase node and you highlight the whole
+  phrase; click a word and you highlight the word.
+- **Display Rule Fired** — opens the pass that built the node and jumps straight to the rule
+  that fired (for nodes that came from a dictionary, it searches the dictionaries instead).
+- **Generate @PATH** — writes the context `@PATH` for that node, ready to paste into a rule.
+- **Open Pass File** — jumps to the pass that produced this tree.
+- **Fold / Unfold** (all, or recursively) — collapse the text tree the same way you collapse
+  the graphic.
+
+Between the two views you get both halves of the picture: the graphic for *shape* — how the
+parse actually came together — and the text file for *detail*, the spans, the rules, and the
+paths you need when you sit down to write the next rule.
+
+**Read the full guide:** [Parse Trees](../parsetrees.md)
+
+_See more on the [Help home](../home.md)._
diff --git a/Help/markdown/vscode/announcements/ParseTreeGraphic.png b/Help/markdown/vscode/announcements/ParseTreeGraphic.png
new file mode 100644
index 0000000000000000000000000000000000000000..fbac579a59dac23bc3668a2dba507ffbd1980f97
GIT binary patch
literal 18702
zcmeHvbyQW|`tAl4QBnmY1XN5AkXBk!P`VpLx?38gR7yZZKuV-z(@3LyfONNjh}5RL
z;l2ycIph5PxPRY!$GBtQ{$TI5=bH1KZ#>U4-}SwblaV02Ky?9yLJ>+n5mi8;utnhC
zc|2TrCvE>xIQ$38UO_?_mDh1~9{xCE{8;)i3RMt>f2e;J{yuN>MBN^RBC1FJVKrH2
zyg;Fzq)3WBR(h$kG^S~xxl_HpCqXLv`!VUgh#SL0%O5HyY#mv-c(#}IsHvTvS8+Cy
zkPJPRyXhRM#?5PqrWzwFmDj_SbB*FS5SR2WmrTREB#WwN`AL}GTseuI8}hwIo^Wxb
zQb4qCPgLQO<eON0JEri~2&UnPmueHlde?q?g-`yzQBHe&9N1s#b#ly!g+dLzuXn{k
zp}gZs0^l|G;{Ro@B})^vUhS^*s3ftiYIO2cwKDe~hlA`yOz)eP#I>OP{%i@doWmGO
z7unjHwWZ$C`(@}#w0V7Pm*YaakgqARzwnh@Zful>(&9;%*96^wFZI!WZJtN^(21Rb
z#PQ&Xc53Y*@saASK9fKEN0^g?+O3talQ@~f)&-vKwfJM><CC9NOUoxICwtMdTPt4k
zU0w$ho*8+YhJ?qpE0~Fsb-_*DffK<l@44GJsL_2DFPD$(Cp?>Bf=Y5bTM{XkIM&XM
zwMu<EVp*saOkH}nhbLrzg8<9hGQKNp`yh2OxF&M5dUf9`+9P`{_=}L}gqPIlPTQ#W
zj3@;*ikipf@NEF@cz<}CA)%*}ymKx!ic1*zz||&2H!=9nmp|&&y{i3kit~?>6Oz6x
z29qcBl<F{H$6nUQLs?*!L%e#IavXlGiqS+k9Cenxmq#D(?Y>#Z^+3-*5puPe{p`8(
zo-0er#L4eEDnHkHYd-!!;a7%^pr>%`*9_f>uV}rAN-C<apTX?N9qB^n<}HOH4dSn(
zP<rM{r=B8DiS4aYIB(YVT+Br8GK>SCI7EV9Y0?w?`_-(ttSq~%Om%5#Y2bF!t^eCx
z?Emb1{^Q^%Z*4hBY!s?g9CrBMuZ<tCqfB_L7vg=2c=W2(AB`Pj()T&`YXU-d2DnmL
z%vW2Qc>2A>(j$8i$F>nw&@~+0H1uFQxLn;oi>^+zoe*5<MeFcqC8ajIUybjIv#!df
z_mL9W{vfco_<1?Dvt<3}?JputUg>4~jgFSPS1POyPqLL081q%}L{MGD3|OM#s~H(*
zg13?sa`y$iy28d^s!Cw*w0`?%=uhU(AnwUT`q9yo^x$7A=O0n~C%2#I)-9*R5uhxl
zH9cI9KCt<u@bsU=hMxIyjyvmBm&#^!8okdaD_!)N{M}X_ig&a>S+R%9_FL;ek?tmY
zlCn(Pifor`uIEwS5E3%DMt~(0^fv}tPCOkC|8cGVN9>4|iRQ_N%BE7)@JGqq#5+>+
z6AO?Fq`P0gYB6;(^T@6&nu<8QAkpg8`E#$DHbeD9>xeJQVqeRLUx)(Rn|$k+cr9*V
z>xrkw)M(a+%NSPNlQTQ>a>}hmS9y-n(^*}KWxQ##2HJGZ_l9<2JzrS5V(ia4(Lq2h
zrlEWIKh&_C4aICRsXiYc$P}n$qdzItA!Ex`^|?7O_f?`$CFpnq-IAdy!A13ju<s%g
zhSQeSiZT4#lTo^J8X6b2kFv*ef|p!k6_1P^g&;+kPaFNgAM21hN2Hsh6w{KNnZ_u+
zFlH~5avfQH7HuGV--(kUxtd|DTWZ|Gexmg~`r6Q{{o~$q+)XT)#K?%g?A}I$*eSP~
z{`5rc0pB|LYEBz55gcPjy~z2s>63}b1oynUaeXs>6e^#S0V-JCKn4tr!>00f{E5*Y
zej_a`-q#P#pimYeR%}T4LJ$iP)=r>JI2dXZx4iX;k$C>IvG-@^pdD3QQIWO1?Ifwd
z9IeP4-TV9Z=V=`wbJ!_wX-5Z#yCir&W;Zf(bESiVf?AA<IFp-ZH)2L}a&u!w?=vy=
z^O1M8fnVv-3nX^tU_ZJV8k^NQGBT6yTUuHgi;>S%Vq1}Dz-teM=`iJ`q}1oEQegea
zSmk3$(Rgu&KIOA0e2C1I>BquWtWRonwKm+xh-}W3ENRKi+?+jIOdwG<J3HH`OG8Je
z)QX7X=64cQF<uHb%zfH{$GoCWDmB7!gJ#y|p;<+bii%3xi69w02OC_)!HOO<ck-cx
z`?W2;IBQZlGBWb7Yw|c4#7#KBEGBHUVNC>7%+c9t_!cY-LZj2C<GgM7OgXf^SLJB0
z*9pla={yD5wZzUlWuun3NevBRxp{dS+}3K4{ftTw>&V^x$ljAdk*tG6SP~y?*zj2+
zCGTL8zGqk_?8sGj*%-vdRjJ767jGdGBY}aOe9FhHn3$MiwDodHytxd{(8C6Wh7uJ$
zf8TDTe3vvQ4u|(G7{+nNsj~gTo2DsNoG#cKSYb|F8DDy@sZ%PlJ&B!hWUQ|)I^lq0
zV(ONh;<WXw$~0SBTaC{C2!*@Lr1$1fxK!(qT{v6B7^3GF57ow-|F>Ov8}oy(CK1%g
zZSw~(xnT>HhUeWCkMa${C_`e*(XETv8?MzxC=D&GKWC1ywV0!aql~KZU=e7>(jb@@
zZ`(upbJ$oee6-UWE=Ab?ym6hS^yyvMi9?rlM>Q^l<bns)5e;SF2cn91a=yLJdtz}G
z=9mz9(c4{st|)=3OT1_^cuM4fFejMA!k2Z4mjv%)QCx5f4pxRO<+mR&RMAdw9>=ST
zVAWLuY9_oVC^MY_y%*8`Oa+gS@6@?w;u(nj(PC~&y`k|MEEHB`+g_$p@#lPL0L+kV
zAm}xDkXX@kA(WYi_=EL>qnVOlcG53dwJad`y>lO3CE7TnM&nIh{<b0)OvFy1dM-ta
zIb9+1#n@G8@Yp&ht_wnq&7r6>jNnN%s(9kLZ{S_>t3-i&PbXG(%nc12_>wPr=PRF%
zZpRZp<7Q%O8?M*)4@_A@MN>1*<#!g55O}nPhDM<kk;PL9i9pKyY+rc@v=OTG0VCLr
zE`=<dcb&7n7);i1?qk$<tNFRP2NU+-Hk{g~XHps^;F8T#*F{|2<;D$^KKj%=t&=u=
z4yhM|sQ?=Y^=2(&vtz$2kRj;83wF%P`F1zDRh?Um2E3Oe3d5XVQc@CIqUSBHQXQbI
zsi`TgN`--4Oqx`7_L0n*cS6NpT$yh~X7esfmfX_Paz>1Ek1RyRKq&~@$9rI408iWz
zl5N+6IdSi?ZbB_Oa1+OdHtJuJZSQ_+!XIvVJgAbgGH}0Pi-C%JC`liox<x5XZS7kW
zOAo%2c=Jzgxwf-7kf-7#bQ%S{H7ZhPX57FAGdYE9@yIkrZ{HZS#n$;~Tg^Wufjc<r
z<_Tl+worKouL%xYe7Hc8{}fEnCiiDn_@7ZIr>ox~%J#$-?aIw6>M~GRZhwtI79_TD
zPEsJT%!&x^IXk`fvW-P6x-~U5^;QwSg`;DC#UpPX6KiYk${rpb9;N%_?Q{%hQXJu4
znls3?Dk<164u5~aKEuHkSg)^Q6Y@5E4X1JW8)T?onLn+{_ReCQDocusU*KM25E8OC
zgOLOWX=rE|NH5IHR><8|<F<Bz!DMYJ$BeFg99<e%UoYIlw*x<c8{eLB;Awx09$ZjP
zmU~dyvv?^Omj6Wx#a2U-iNe}0mT&m6d%dp(x!KUi)@iodU0CCX=;(Ho=vlmcZU}i#
z!I#xK5N;a>$!hl@1DW|<uM2=_eeTZKJ8OKnZeGIj5XD<RZ5I<|FcsL_*QeB~6oe-N
ziQLigUUch4Z<Iw)>vY7#%HYqRpGq=K|Kg-aIov>PhR#EDqK2r(UZ6_nEUVdVRL=E8
zbH1E5FsDcH&bjG|G`X2uXYb2AJOwA>^&Z;P$NqV$$2<;)&aT;=)*J&r(c`e7Qe^r%
zw+Q&ZcB6?U%;H)eoA9Ih50Bm-aAJQa>9S);ZaCykAJsilN|bqjl65p)I_{Kp@>b@Y
z^}N$eMyS$AtFG3a%^B(y%#*sWosm0dyQH{w+o%O!aS?J(uf+fO;kLgOV%^HEZ0W|Y
zm3M*PrM9u|<MpJ5PZ+^$oC+WcM^smr2Y;=)>OF#)Md_MNmztX*^|eNZ(wXRL|F_{C
zj)#W{R>r9~fh?GJNR8bxx7jVE%~(%0anVBMe#aAT+!39&x3>MYOGZfe{^SU=d;VUH
z>_tiTqNr;(B^B9Qp1k#wom&o>Sa`g3v_FyO`LzO|G1E-t@TV_2@t(i&XZ<{jCu+yJ
z<g~A|{T!qV(RD;E-Z?HL!u`_r<I0R$VhG<?{lg&)U?%?lrhS{Qy1u$&3gQtF#+)2-
zTOv6fcp^eU<!)2y$V%?em$zJznU0RT?)EhCqjHKTp$ehR8Sg6>&#QV2iqc=u$QHYN
zWy^f(K(d;ruWVdN*6(_f*jV*i@0PB9#20JMgnQ2Z@n-K>uAvBxeuo>~JX<gL?j{Y-
zab(t7pe(Dcyw|g*-)aUK`V%g@ZrGsTSEnve2VdOR8DhDYK77yosmB9vDihWcoG*+~
zNuA7?Wuv7ipYRg)#|%@rN^TP)nFRz%xEcyun|q5M{Bmfb7iQ<=1|JxI)WFqI_1NKK
z&8_)XBM4rB(z_hxZQz$oF2+p>UiJ?$spoU`kO2`xJQFrq2YcmaCG;8=ih5|=`87Ye
z=B-nrfq+hM$iHr>kC&fp!jWadVOC9vD*e)5BZ7=tH}L;o|5{*Vdu5{5sQMz<gc-o#
zf7lur(S$WH^hCybYp>Poh4p+S>|&lHJ<9t{3rW}W<?-E2+`t1zCQC~!l!YHu%~Q~r
zBpHvX{oE@#h5lsawWa96qi;&AQPI3VKG?N3z7>+Stm;{HP{DPGuRVCadatpP=kwOV
zphK;s!hRtx+Fk3|x^>D(e7qNJ?Os{KgyML>AR=^GgP8emXxdnkjP(6rVHn+kxZ@w|
z*mwNXCq`3fWlUC^F?ev;5?od0=|zv%z=Bb2aszNby-mGCw&<q1vZ+pY28C2Rgg?nC
zv;?~+FASs^^CWXm0HgI`q@qHY%)qwvGrpeSFQ-g*H-0=A%}ul4M8|M<zHY5$YCtIg
zm9%y-z}x8ZMEdKkQYIiXd7)>5-}bmw#FtnV#Dr~4+5nwkS@1dJS;s&Es6s0mxyh8(
zvN6a^d(nmV@u5&0_aT#6+&)fnQwK_+p-eIS_A=(YR7=MkuO!ATH;rv`%);u3_~~ec
z-QBE&Oebe2tq5I-<M|~FAy#otWX0yNvUc^pPlsk)EGbTgPnr_tFAH4q1);f--1cuB
z{W$SOWe&XdN)m042mTVpYmyb{QF?x!!V~m#>8{ujra$F^3jZHpYUTdKJGe&FI0ab6
z3COrfq5jMBt?Yt>5(6{05yb&$ClYZ8PY|llT+S<Wwd22zstW=x0zUGe5X+AN3g9n%
zUF^n1sN$M&SanVye^`7@NfG&`C+8z1l&T;Z@yF&NVAH7P7sXHktMO4o*svA)fG`P!
zkQaf7_fn}GTwJ#S$O>Icii#pD@_@>>FNf+Xgp7v2zUPivTzn5u2dW~a9e@hK<#R+=
zyZZXx+m(Mp%6r$JE!UE-Uo-su&oVJH5AZRgif@3WZ$OCy6oTy|B)y}G6n6&6w++uD
zzBD&C$By#T%1S$HaK$OZPqJLbFcC@vaHfeJ%o%15wHcsS*8ByxSeVk2o1X)T=``Y=
ziQi?T<&A8<8#lJzuZ@*-k0ikR_8$NM4DW8Tqb$>1r)(Z>9<6xkhS3Rn&K$w*DT9^v
zP7I5NrL$#FUC&@OktPT^5o-KOOaGn^z2dRr)-r7u8y8o^W!ZwK-}v%oiiQ$D?Riuz
zlvNWO9rPf<wN!;>0y+d`&zJhw>jU6S?KL&;WiQuaX8%NK@V;<32a0`e9JY`MR1?A<
zlQth8*H5hhj=LAv&VZmfkLx;U)l4NRuakp`_L9JaKvsT0p^QKQe3ry$FQc|Ez`d@)
zl8wkr!0-fQmF3H_Tcih9fGD+-80VP7?x}ZOJRRS0V0_#P7Y|`Hud6kt?$Cy1D>0aw
znYD~;3cCv=QZ8Qbe?_^dqN<8aNE_mX$Mk(Z2?1_@e}Ae(7_EAolW284Es76cA8$yc
zf9we`1_Gh2MR5SZBeh;9AJT?u@1{^cpdiRnyT2^SeeLg+I3WUcyKWN)39#6i+1Xs_
z%I9d@*En@5umRc%{99Gk)nf!gArH6sF1`6NwZ=CHlQ+Ci1NSYdsHjMJdJc7ZDUDGu
zj#--6`Dz_>MDv&9h1%oRkz!*f19?f*(1q_L`8XPrc4QML$2**?tlcCyan8T(=u!E~
ze%F7UE$;Du=H}{JTv+&de%{nvQJb>=^ODYMa#SghEsIDX5h8LxTC;`PbxP(I7nSak
zj+ETnW@!Ot)qi7Zoi65CT4t8@X%-rKRa(l$j-s4WXN!6EwB3^}ZAj2{Gh^}`%fXT7
zS>MO@S|0$MyJ(SnH;PeUCwvEjdmY)A9BfWkwU;_9)teFI<mAQq`FfUSPa1=(g|6x8
z9MeZObNmVBM}+`7S9^Gs2*x-6^@1%XfI_Wmw4$;Swvtmoz{=9>CGg^JdR<zr&3NJ=
zg&!`T-h=^AZ5s(px-D{EN0&Aw0semf<R*rv;aCho=S|&T4<&9#W-c&Hps1+z@k$%t
zY)GE05}zckt*w2?@VjV(g|M_z(dd>LD#y1+LHYKBcf5`13BGYrSX6Sx$Hzki_f0j0
z<w`Ssv-16o#Rr2hg_#bGPT7?gTTck^yYJ?wqHkLVPG3S<5W;886+*gcg=`%7o0jc0
z9tRwPf)gByi@NV^_rmlZ3@PB7Vh>S$C((FoD?HUh$dVS5j`)p6--T#3tb9(t>m2+G
zV*DYIS86ediJh~Ge6)kGt<L6=mK6OBdJpb$&Nnz?A@`96g`%BLo^pymIFih%QSh){
z@NT>edtH@+Ex{S=nXl~hHtfp;CWJ5|8F0CPr2c;8jW7Q^ONx(vb~~zbmXn>`z_O6Z
zK>Yaw3MDtU%DrRy2iWZ)5Bvf^SZKTau0Z@5SDfKMCo{gk@P#wj`^%LpIno(z3drCZ
zK>wcSG9>Mh1a#&9-2fmKk<yH^J61P=jKfANw8|EE$wQKKPpr^l-taJ+Rc`Y!5}^<l
zF$D@Cd%tm-wQ%@8<JrMx#75lQO~F-6kS=F-KMN=8;nFjoU~zDLC!xZ=6W&M~A`Th_
z2P><-<#$CAjL(cPh47e?GYds@Q<7V9!S0c#Sc*LV%hkFOKPI*cH=L+eudXqC4%+V|
z+gEX9;{xj^yLM_%JVHW4*$gmeSudhYwEV6wo{w%d%v)T5wK9<08EOQhlvGva3=gZD
zUrvZD5EZ>f@_^+ey!nON4eX4|-$|UJ*8Dr4JGO%`^VG98@!oc&cY}yeqY%aSP<x<0
zWKXmjljbQE7a;^|d!x#Oa-ySHv&6JiaECnLW)#de!xey6&@nNTp|iBeCpHvA)PC2i
zNWz*70<IY>ihKzAQu;~l{%y(FPoIjp^si7}3Cg84k8XaEQHaeO{J_uB9MUh&JJt?;
zeSIHJB@GJ2#f45#Vv34-uX-7up>LePVhMfV$AoAYcpB>JthK@FEU8<p4K=n8<7GDN
zO>#P+jy+_q!@ou_83Q~EC=|jd8(P1=-mWJ-XzcCo*2hh87eGUn5Wcv26;EU+LhkOD
z`_WDLoYAcfJP!$5z8*Fm9#)l{uOt6^(DH8{6$P>q<zEW(+UhUfDk*Oqbv6E#L!@;4
zS9Vw9!m@bPLV_CV`8WQ*)cWZA@?R`Bce_4KW=pqw{uk3&$JPGu7kgYO?{%yy(dRJz
zKI^IP?-rGP{tE(n{>6sM{+^^nO=-`6$gDa?P<6#=AbF~`SJUG-OLKW)WR=CCdVMhS
zn2|?&FIXy~uxzv0aegbEwz8!(%7Cw))i*?*@_R4HpuZN~sIGd-mKF8*)L(J@VX>h6
zXA<679xN$#__ce$qwHqQQTax2PDka!vez)*a=NQq>LQaiT{scVi7L(cpMxcno`giY
z12~c~;X4mAm-8#RJ+r<|9=FuCx+dwwFMDaS`N{#9!f*?w_Y{TEcmwz5tM@qS-c{c7
z+bUf#vX5}>yIf}FJF}fDP;IY!;ZRQS?bDu7p7-zBh)-67zm*TEBajHN9zedV$DNI9
za{D{`4xeX;uJY<pgZ&b$5b<^2ag|Q?iASJg62qB^qt04}6rFf3nVw<IefQqg;8}ZN
z>l%4aOTo;nI?HCo(9>xwdY3t7b+Q<qWYzMmEs(aaXdX@L%OK}G?c+N4Jd8bZS_Em7
zA9%P_<Il$QmKS&k%00YxZ{vycty4DD(lx;m7e)G0b@{@ATRWSl`G&zcJsN#HmZZ`f
ztBa1(T{(cYt7*@KVxF+2k9r*sRUIMHZzP}Qd`;$IcCg_$nLV{Z2|I;pM^DDX!7baz
z`znb#wW-g3WsIL5*z_!gYqeK%^E$oN?L*_{nalwOl=`csd!}>GV*&_S;|Mxa`AmwO
z#PJu?*dp)StNW_9+!<caxii15DmbP`fREz14SI2cV(LL!%g*=y-de1rM{<;f1$PE+
zXGUb|#J#{#3eac@sv-_{G#{AGxWFHHg$Ea<L-8MJ;FNK_OjEm`cFM$raL(iUUcmJo
zh{LkL8hbIM1p3yE@YfJYH%(n!)QgIWPKB=v)DN)N0OpmPcO)kYBqIvEB?%wJ#slES
z{&g>dVDh|7x?+Lav*s5HAU%PY(lWbY_wcIJ?MT3RfG7qku`+y@m#sj?Fm-p=nwpxz
zU@!{K&Sj45DA~sp!XXfu9tYc*pdMeoeA%vYEH);ldvP%bfLmizQ~&sQ9(;O_^n&^d
zksfiwl<iq;EXaR=sX!Dlb#PDuthn|t`wq5dKkWs7W({k<BS@oLo0}N`f7#jDVKjMF
z)o74jIe2-qpBLN>YoZ5HX>H9Ggy1YlfdDii6Ecto4Frk?t?ju-d;yWz{PMOMRFX??
z{65K~H#RmRRk;+(4j|jCq9R4O=hLT8H8c%4&a84M1z2=U+uZ{YmYyyFa-r+)YBF0)
zFccF~yfYk7o2+=**;4?)f<SD@MhR6`4z9w?&&%`CMz>C9xmcihJC~doW1g8=T1wA5
zxYpC%Xm~C^@1OyB63hrD8IVRPT_+d@Ofdj82B7@r?%GuBuggS%oPvV78$m^KcTGG!
z$FF8&N(s3h?iPT^xxF;1+Ka1a3{dq}q$KE0At51|N(}1UtWi?8;P-opop8sNg)I$k
zEV;+rF@#`Ou-cDlI{=bW$mVNnbB_9cOXA_>1<-OV>QXItH>0vr6VdbK;KRR|UC!7z
zT{!ujRH}mXJK>F#xSSdQ`(QQzM;!e8mX_mvpnH#uj*<m6fMU0&g-v~pU>M|H`TOLG
zcS(D`e}8rR_HC~F1$Qo;Z*On6eCY29Hh^`5kMtZKx=U*osP(}`Fhc*>7!!IBc2Mnd
zaaR?d$X4(0a3=UN<aqd|dR(HZsi`C|9dJdMA~+!!4Ng6Wz3V6CZeBv}Cy+R}yStlq
zr`YD<eQ<&1W=Zo%#0-FQ!TCUTA24EKVPTAG2dgkpg|tlCfI=@QZzybkouFR=#<+Q@
z`=5XOU~fxYTH$~J4jP^pd<5>pby$EiM5dq70KoCqrSqUoOG`_eT3K23+TucR@bmM7
z7rGeTt5#yj1PcyZIMp{XMo9tbFtWK2Snm+e`RIGsc#wDsL?aa)ohoy55tnsbfsxwH
zOX0oqf7GzaKzy0rawQ9E>W4)`WtWzbu^PIi(oTV|#Q)Bf-Cy`IunXF-*-YIGASs8O
zqhPGW&h+O68NlQg(oAgplB=Vh+yt5g9IsUW?6wQ2t%x&2000(6WZ(08yluD5S&0Hg
zx=oaTsKA)Sw0tk0TXc$7>7ZYI`&HUV-`3uKkAlF;^g|02PxvrNI5|m)!O$rYD+91?
zlvFChGG)@8Q)4ymlEN<lc7Rr@$<vlf7-snU310{6NcMmY!97a(WbROfm_eq&$HyN?
zlg`b_`7!TcwKq6DG7?LE<q9aZU;fg*k`hi_d#>{gB9%y(gg-HHbW}#dgn2Grfg$RB
z^9wjmBD>&UTvgTf;@l9qe#Y5dcLB&0d+q}5ZEYs5uCAJ62n|k_dji>K^mv^!Z3LZ@
zW3hK-v8ClLY$q@!$ZKSHXVe-h&XWW<MFU#B5ssYLfOF=wSKbDfSaQmSt@9W5>AY_7
z=0V>-kQV@UK)wX}3wbIryX8_?6Tp&$g`27jQGEjgX&oIMmda5|=M`d}i8Dt(1*^jA
zp1bF$4}qKSgJQSfl3JiqWhDV!GU{4d9F;@rL3mE06lMyOHfrE95MuqiyI%{37e7?~
zlLho1PK-?4-G7c08-lAsd_*wxI+qzhxIiibS3(&2@-m!TjD`|XG;~}eSPF&As&?O~
zV>>4rG;~OJkmMi*SRND+aIk-ui)3Zaz<@*W^XJCI#LO<wax-s#jmq5YeEzJY^95Tc
zSxc~Tj;e|Z=>`A3;bF-^b>Hg*OMC`|*Qd@&S3^R9Q>lR)ua-yxV*N&!R3N?}J3**|
zF?1i+iQc#<ITBvzo-7B)BayAsuE{K20EhFQ(*OisdkOh8fp=AZ7L1L2^BPIl(9jUR
zhmn&8#CuOq1laYb6?YSLY2DA6+azy9H+!D4z|`lvQzT9+PoX7X^JF;_3EI{Nkk;ky
z7SpT#NQjT`Pmu^yVu(U6kNHMu;so9db%{1iA|)k-aQIdg;NtFXc{uliocQ6JP-_ZX
zUtMs2O1#W0yK2}t^Hk4OO?6+BY^WB0?8-~|`j6GY2KZ6<bxw|s1#cZ`<SAWkVHe+s
z3PX;9P@Nda>8v(#KR)!Vg**wcyUJif5Dtr%xvzyarHI}@WY4`l7k<yfml7X-bAw;*
zx!2I-UZ6BGHg0d4xL2+v12V+`L=!kuIU7sYGbq0bneQRB^vpXbIvi0g&_JZ7D%=xr
zHc?j!pn4723~DFj9nc#fFV`>{od3Oscu6SkeP7mo0SbbeF0otO5uLM9?M7f}pd9V^
z4Fa9smKJnT$+NRN2apFKW;i%G4K1x+mTPrrwWO%sXDh&B3VhIa4RSfe3*x?z9@{%R
zSEM8>px}Ad>Oyg@B)<V^@B8FxUJkQ1LsT)SJ=4>MP&hymnSYeFX>foi(s_r1fPps5
z9J1fj!6S1ea85W1R^*@>8@Q1z#D0ySUmb7;Oc_izGcyCzC^4VHgMtOOg$iAn?aMVd
zFi>1tnr8Fx@TcNZVuM<PMg#~55acC=g@xv58n_AlRU!z-(L<l!MX&?B{}~+pn6Mc8
zyIeeQ1V?9Q<YO&<*Roo*@00mZK6bu50}=``{>OpGIW@Zz+|pd7z=<aw5KE<kauM(M
zu5AZrXGYQsrq7>0m$*&J@fQ45Cm_AL+Cx=vqE1I2<wye=Y-zMi7LNC*XlVL3H#hSV
ztF)P;VRlZ2U7JR*sUWf30y<_nA`hjgx3?FrQwAUb)i_=5?u#*kA@;SGT9AvtA1m3o
z(BqIj#3dwPTBKo3x$Q!|rlTOhbnNKsiGax=5r6|jE#?K~#T0A?W&$vhBVEZ5{v<<*
zVQJp~4peAZARI2j%{A9wC=o-RiP-*9IFtj6ZtooV=O58lVh*Qrt+!26GsabvMnABq
zli7;T1+xSvB+x<$z)aQ$x>5Q4g)11gm-a?R;xIu_q6X5mBb#4ru1<;|l>)%c+DrGr
zY(?+ZX$7{JKFHFKXsY`uThBm0!M&Jg>yJcwZxAdM+C0nwz}7rzGq*O?<aqujEMjA0
z!!hPa{w^sf2-Y3@BToUB{TED$o<+H>x>f^*fT~SJO+C70wIU9g9ZFRikT@lVTfq9q
z&X~L;NE*KdQ-kDaSFRNs8{4zEXrV3j0}vdD8%Q)pscUQM6O?LcYmaRR8EK&g)Ean5
zFBH7pvVV@+YWxo}ar(pK)ox~MD-Rn9AQjT0dt;Xpo(OLnNOt5w05(na^^=#UZ~@4G
zk79VH>OY!I0Q@VPZ-DYzg|dJUgrW%F)y6g}x<SAX+!evVu;HgN;%EotFxV3aQ>ZQK
zC-~Bk@I_$vAg{T!qd~8!NaTQRgOmB&ckbj$yD^`_kl1YT!B)^$L12T?AtS&yAgzyO
z8MXU8P-49F=I*68Cg7d2O(?Dkund%U06@^JQE^Oy0~%N{PB4BJ&(%<x+9b>dKySd9
z-ED2p>fdKSO^pEk2{OXM{{DN0D@h#Kv8)?8@;d3_ViX!zLd3}ka3Ps=STqolUN{T6
z9i-$(@iOD=CNKSxulzbi9>^u!-07g(Rye&;W^bJ9GpO4(0;LhA%10|J;{FKE>o=}=
z0A_*mS)lfUY(bhNpd}dpY*<K0e@V;m93(ZU>qvwob`C1w%YNQ^5V!aUbTSY<Aj3gD
zK@=z}1AVUFaNg`aU;?%$CBUUNYivf~hJbs<f8a(xlwU}bV4t3Oj;Mc_?vh@RO7BHz
zN2&tCIi$S<gbYpMAe({4coQO87(fOg_xR2KLL3#E>goWmEWYZ#g=7xB5=h|z9|1!-
zPYV~dw{=8aFB{E;Bn~^D+B;w2w80gpkoo1=ZKT@+YAfWv+ssLmBmt$+M*{f2b#}wl
z)l~zWfN(he5`^>xe+~hG@qFE(Mx_Jss`V0EtRWZ*k|m@}D92pSc8vLlISBx#04{<U
zTb`G~<o-{vK}vN&e~$7$V8i8czjz+`KU21bpehRJ1C)o}0C2vd>)EPVXG$^nbs$kq
zZ|nsSesud5s{ccc#R7Q2fH~gMdtf#8AF<3YCWn&*B;0`f2>}g2d1iB1eBn|yITZQs
z?qr}v=8E;|Iy&IC(MmCIM_+@|4<`l)CxU4rc@?y}QeUGb@&GU{`1d0bQeFc<-Y^sr
zN>NgT2YZ3lBmrE%b`JV`d+DJJA_%>$jl-SJ`IJ(Lib$t=ksD-rqy#=QAX@-{ihvs@
zr;);iHW~fboPJJMV3yq^0a;(itQwxPg1wmT-v{VZW%^1Cyz5IE!}OI4XJI<!T6t-^
zZ1>^(o?!se9+Y{1;p9o*b(w;v6fhak`XHN_?|I|`MM(k(1YQk&J38ilWE+8u5Q;jk
z^S8i+{H~i%z=Q+RR38Ay+$A;3nzi^C9}j&z5u;0`T%3rMhFk*~9npO$MZ153<CO=<
z@x+%}I?w4qbCU{B{0ESqujHM@eA|w?Zm?yN-aGstTf#cp_WV0>jfH<h3M#9tqauoI
zwJQu)yq7Q-vpwY;&2l!t8X)xElmv82_(-u>8G&lRZ%ObnAgut{lir~To-rP!Sl)7l
z;tdrYSRcA6jE;M{a39dSKqC5Hwr~K<(q1rD8oE<J<3+9j>>+xiTMl39_wawAiek$O
ze(E;`o)Dsdlp>m@3aqdf8Ag=@U`^oq?f&PRnwsLCSG5?O;tC5z+(&<L1=o^ZKO`Ls
zE=Jf>P!M$9m4=@SuvTSM34mG-sS=QMT3T98`;Y;GDmnmrj#x!tW13X-p&tmyW)?J}
zMMg%(CMH^A>@0vd!q)&`#~y!)gUU=480XqQ3-JZ6hR`q)yt`M4pi3v!u%=6si2$e-
zKzd+$oPC^!i&o%qpf<b}Pa!OSz^I`(dVF*ccW}Q#8cvb!H4Rua&Tf>nHD^X`i!tr$
zn2WV*g;+RVrCz)>>VF;Ds?ADiga}cnYn6V<NUvqG&%}KD*OJt;h!E$)=$hU+VgnkJ
zEwt^eEW9tt3@;fu9%@c&B0^CGF@5iH8fM_bLh0H2T_4?5N%R~*f1A{ut0>952bZBx
zm{iAeay$RCH~PHfzgnX?Vo%#LrU;h}Own;=TOD=kG#M4Q*w+(~{>OE?furzEXowWJ
z8h$DvzEJjEUeFlB5iMHj{CiXzQJy;bErsWj+|og-2{FYeTCiz-gZntoB3*O;Pf<|C
z=nm40I=B7fYv`u(c%a+bcy`rF$e>yjW=_+CZ6|Zv5j`?kv%~42Rl(&h5g2S>w#Uc+
zWMa_g5AAZ8i~I7z<HE9afzjXgTw&pBY6AybbB{H6-fc$5?Y!_>oK`v^izgcIS!$D~
z$-EjE+v&Ah109{`7!uK#9j4VPjUqOsy-OXzRq5X*Jw4bIs;^Csy3Y2eD5P4hW^1<G
z?1VF6*(db186yJFL$VcJmU$38hDfOES`3{mLp$hcD?a*%Us$3?t$(7+XSWy^b}B#Q
znP#Ps4=4VS_g~pOZT0wpra##%y*aORQpt1a>))OcMD(oYIckKH=y5L*Pnu!D6xrY%
z{q;MQ6WY9X62v!Y=9mP%=8?`0mQ*ja?46cx8CQP=500Vf(JEp6m~O#ZTQz5HmyUC<
zrjIDAY;~m)#wuAwn|0;`YzYo|?6USLEDk><R--*>@QzCa4h-%<BkjWjo#`RTb402%
zl|twn#H|w(gFQVyQ^C~#1erHKaL6iC?E!5xgF|V7HwP!;mB)&i$*;Eo_sL$1E7LYP
zfODyCs_0IuW_}Sl*%dh()w?7($eV8|`*cxu`$L}KTF|B?jg*wsM5a=9O}{Sf%$GXi
ztrVt!*mKU%1F+Soy;YDG1}*24>yo!lyHn2X2<i}vWBTV?*0OTjBqMZPcm4C8R-AUC
za520voH>5hewY5<B>{QI3GElOiO^jVPWpPz&1g!z(}nRsqv@z1O1h>tHTGXZZc#%g
zd49|X0ujx%UyZK*`Ziy^s)N!lLX4E{AI{k4<vMUCtBfX++w3&1YzaaCit70<14+@<
z%6S1FPs}QB8yivYZWO(dPTXMMCKFmPZGND1U_NOXpOwW&Q9EPSl1I1<ExHOaMT)M^
zy_P#dpRO}rRd&hwXOggykMkpptl`ybp|YS%o>CZblzq&mU&YP1uaixss$@;KV5Py+
z<t8sUvZ6XONypHCFD1)PDP1R@cdid)Ub#nO2c6QwKdj#9_6ZIuEpQc8d*qHDCw*QY
zli#zzV)=ZlzH5y7M1_`q73mT96eVuetkvi7`?Kd!Ka(N0#Fk1bsa3qV?s1gG&y%+S
z`ymCSTk;3)o}Y)qvuruQe>dZFySwTtd3IMn&?-%oV?p5ef#B=uq)yzH_aO_bN15zn
zFODh)MA?{-a>0UEP3p7tjL<V?m3Q-WSsRTg5~G(qZU-O4%cu~uP2e;d|D^CO^)K+!
z93HG#B4!Bg98jnEk>^$FeWkmisCm_IB<5K=x_|o|Zv)%Y&XL0^u8)p^)eXk9m8rKF
zMIKb;I=AVTMEO(?Q+gN=XSoz3X^85vy-EO=TA-2k<zus<_M=R7-ubh1=Ghv0UI|*A
zCfe<>Po%%=9N3HPZ0{&in#suuI>~ymC{TX4GVMSbN%BRICn)~*y>oohdyt`LGu7dw
zmp;ru0B8+<7TTqQj!Z2UWev<rj!bU>$_M-lKa(~?BLs^NH6hUo87zPx0YKtkYEE7r
zGXMxpZX734(4@OapuPay0{VmSH^8#M%mElROlf%&R0hH%GP0qs0f;&rvLlKw9F<${
zx$6LP0`w2MC^Yb)%USX-!?}TXg>B^+yrrS3smK$rQlM6Bg$(GxlMC7rGQybE!tFYI
zq;CQPN4X3!&tNoj3yWuPtY7g4gauRh9mWQ&08aZW&aeJN2IaqkcLwAuge*ULWC~K|
zpFdxq#sThxX_rvGWQK0Rx&$~>Rf40<&COyXBcq)5PEdRi!~?|&FpWl>k0tWt#r89h
z4>_p%LHa_D&f7J)pgzBOa~`qfjf>{&`Anx{y%tYF&S-~*J^}?OaT$eI;CrCHG-JoU
zypCLw_w?o^%-mep+*}4&HMhOf5@-yV1m2Uo5uVS5qlr9`vPhNQ3#+;nSf30w03JK`
z#~<J|^elij2~ZobJ=jALX(6oqt|kIhGA3JU<pV%5Fm#p@Ljn24(h%5zAzOeKpalYn
z2P9R*wGvxUzzTiO_oAelXE)U2d<c;tcp0EpgDj`7|5#B`abQN9o0BsY+CTu*4&3<u
z0Xbmfy-j)n5VE<M8K!)IWaJ(q%*Vzm@X@N?B`xH_;Y7?$bMcL6-`H3#U{Jt&YH>S1
z|EftK{I+X|zGQ%|;a~oM2LTEEJpfRTTe$uA3;-Blfm+)L!4t$pK{ltS59=@a5Rwjb
z$}zG+Q%7e2Oa?Fr_`p>n8IOzxUToB=77#FmAl!?W$wrzoO)35g?-B2x-JZ59&xxyR
zL}q5W@sbaSh0zZ+ZS4}P9vkrK_O1`0cCNjIOVUm+SvxpF2&_?2?8lG!T-;T#xrRmR
zVC%gjPjhw)XskpH6+#>V=>`x3JYi(yCr4U(I>M>oJy;Z6g>*g-MF4{aT8HQ_9UU5R
zaUF0N0xS^}bW)<g-1hv7h#_JCsv+$hU@SOOFt_h*dBKKA#}IAs30!p^xhnHC#DwZ|
zuNNx@m%IkIg*Qqlxu6>uWsw2>8lM6LczCkh1+2%u82*7Xg3!>|*0b<@kS6zIe8g`P
z^!#1{!wAq7F-fO5W%>o=;qAzdasusxNB}(uIUZq%%84t^0q_R?0rU};4d)IEw@n_y
zhIj*zy&ENUFS6Oh&aP*~f*LR&%oeN#0DZuym;z=h6ah}2`I0a1FIP~Dvor=70+<x2
z77!7|Tq*v@P2Y;%0LTXx?gBzsGF%F=1YIJC$oAysb4&3c<iUq_h$)CXGl*!AwMQ)6
zpgrEezyJwT4yqEal(R5UT_eC%P&_zb@yKZpI|Bq0C;S0NG~l)7?6FrNLs@_x4TJ`y
z3}{CHjZux;M=V(mQ2z%I;Q%`K&KFy~x()3isJOrB2QEfj4n$?g%NEZK4aFcZ;k|#K
z;dJ?dryvho{C7wh1cCh!h6Ul8*lBDj9tl~>Tlx$(7QzXE_aJRO!Ip^H0pW1z%^CBH
za9RL|&q8-eA$|t?`bdG@CBbPtoH;;<fq<nR*L@T2)b$%E4mbm1A&5qEcAYL50RT4y
z83dFx@_+)<eULjS2+SND-UIKF=ZfoxD0%fQ35Z<@CE@9VAJEGL!3_;PU<7j)m*I-@
zPD2n>J@ds7O<+cdrh@iY^k-2_jc^Kfit<A^{kA_Akjq04JwzA8nB!%RYcS_xXc0(J
zVo3d)nt=*0+#WIn;t13oG#GFQh}i+@E<I%OH-H>~e?bO3)!>H=K!1ejLM}Qu8ZhD@
zLB{j`p8*xj6O)iI0PWGBC4z8}+ipT)d9bshTQrV`G7*3z5%a9km7NOJlvaQ|C`bOS
zxzyIy0_mlJUe#ED_RaW-3mEH8O=~OHSuZzbRkUYP?#i%>hs~C~wrhjyLC3?B(d_-h
z?~)7cxt70hw5wf9)~$J)o?Ba<R2Lpt?0F8KMcOq*aB6$wY|WqIW1#gKV4h53$)w-7
z`xNr@;NU&;%lT*F!A_m>FP-g|75ZyCnctu_785r1e_04~d)bQ{cYNxOIqd?J_Qo~H
zUOi(WZ|;|jW|`Y!pT67^y_5PgF`(s6Iydti^+GArpOi#f?7VE%?R&|r{QDy#T`ymv
zlS(|YWd#?Yk($L}Y~+l^<JR`uyfAYf{zqR1S#q0_BCiMx>RE_#SBA~2J&Ay(!>r5o
zuy*s+rba4~63fb^Lu)ifYh{0;TreuJ(oxXt*mF8U;AEP0@0RItT0l-Rx}qAx+B)_k
zopU2@&~b8M>tv_8)p&Db5_9gQ0Ajkp7597b{OP_5OXiPOee!5)Qdk^2eokOctd|z#
z$|o43H}||ZlMPQ=P7>Mo_p0p<er&SRjQ(PE4w>HK%&F~&TMU!I^cef{q-`0fc&>yj
zb+}o9!TB`>E=5dNueaRtIBtENM|m=lRl5ZX<8x7bLq`{RavVLw%2-=EyY;QVzQSIe
z$Cz*Xh{bWnc%ie#Xo6{_vweJp_j_S&quV61!cSR=273=hYq-W4;Ty_R{N^q)oi8T_
zq$dujcyzXe8UEGk{scL-*WqWdzvO({BU|;&<NlK4M(H@^!)zSovKN25Wi^lMD+D8G
zf6fgC()S?k8u2-1T^`z_8$u4iCfD*pUs%mMtpW^Ga^nl$_AWTux4$pwHMP>>RFNtx
zP?=Hbv0^^=GR!J0c;Sie^w<6)wURt|Hq26Ng;lJED@)>>;|N9egH<0~gF%L|tHus9
zg$`C>jaOoHdz6)PnOGV0qgT{5+b(Yn8Kx}Ev<2LW!<_8Mcoxv{xoNORS*64dsz<nX
z&acu;Io726qTg4t=A!Gn5-;)W4Bv`B+z)RQzIc>$iK=Dlsf?MfvkZG<USR0_N85?4
zrk~1<3ny`LE%OOA#Z?_~%V9O${@ei$icOmx{*gVfl^s@RuS-%L@9iJ#b8|-(l?pa|
zqmyu0g5MYT(|aRD_Sb9PKcPe~K8|-Y6c;h>m}`q+aYXMFKO$QC<KOA%TBs1iZ!a$5
ze9&@G@ok}Sdgnlez&$D3*pN1ey|z5_pW*f0uVFP+nOZB8TWbpFs+^iG{xM3GTNJsq
z#+{!idwwK4n>F=YuGi$oNo6$uhkts!m>A$i(?&5^A}#v2T~um$JcX(D#QL}4!Og7N
zD(NxVJi3MY$rk%ezFNJB+7Fd$!Pnl`Xj#?DAEcFg8XkEL_HatOvA8Hr@<R7>P0qRX
zg&%^|Op<@wj-fRNX*QndU9v#S)Y{4i=Il(o)0NonoVz^r^_G|L&J1&bEJejhs!Pww
z=nI+SA>x~ov&3}oT|0Bb*m>OKFym$Cbe(1$zjCL?=`JstuKuarY}PG7%dRgBv9v0u
zVRScmZ|$TLJ0|y7Zg$7J%`DuH%08n@(P_Rr8)emI_cha#re-hf;xufWkXLV;yYPWd
zxMvb;NQ2IR<dIOgoa100zlZ5!Q*}(s5oX@>fL?N9?mM-v*<zD##eS<m$e~g6t1kSO
zqxqngjf!-0S-<&DRz%eO31JSiHM-%x5e^D0bnC4rQ;#<`ICc%Zrup-ESDfpcl|Ex0
zJ>B0YriwxHp&>1e9QpF_$qjGo?%y;RRn<|^%{Yv?D>(a@2A}dkv0(C`)Kg|_TdD#r
zNEH=n23<Wu3i&JAgoIk%?@~YaWVB3u%rgOEJdV*sm(wD>-Wi{)PRhr9Eb$A=96bJU
zokIGD-q$E*s(57A^0i6&&|xGr2{?(DwfeLdLWXR&&x^>~qO;!G%{<Ev<7}Cqv2M9D
zMa*y~uyHGdRyy1LM#xzAmB@?LeEG6(_9&0qD@=Qv?-_r}(Ui(F6LOiJVD?*H+Mny-
zr{Qz2xis`8{3K)FuX7?tseItX^4Q?>BfhT%I;@memvvX{%tSp_7IFn@_dc03YS)eD
zdr<7d#-8gOFlbqu;9y@-ov3|pE_a8;U5EXHaF469;V<7iBU~HpUcq-&`z;F!!ZtUu
zto+7o6{2+>Ww<#fINmrE4@*1Zak4tX`y}Z6?D)WWGyF@fv{bl#U@9-&e4Kpdij8Qj
zXJ4KE*8G9u@`p!vv^}-a#1l%NnOFEl$}zX&`%-=GGznQYGe$d949?kQEgsZ~k3H%1
ztgU@*E#CC!WX*g5JzZzcW8~xy5h~1GNxX2#$dYZnAFE#7HyFl2p5>s)_2yr#ThU*j
ziz+MPb0($XO`3;Q{Z=3Mc}bVU-}f%QPZ&!4*OR=;v~Kn<&rNW+{kD#6my)8*d$uQ-
zOt-Z2bhsA7a=Eb}XU;9xOzYxy>{5LfceKu6^bRpbtN;CBwfeyyYHf;|d&(80xWplI
zM#|1FT|SAV9xO*udhDfV5r-6%wh#L%%zeboj=s3N|4OHpPeplq;)PdM>1h7Zqg>~3
zf~=M0t`DC2UYkYN#};)~viJr)6h)N#{d}w6tWzXU@=`7E-<9Ta(l*&R$|Oii$a668
z^mt5nd@tF)^6PeQT1`!o`A*1k@?)`@V+HD9p;1xgvWV2|m6XJ&CQ(8akAxPoC#?tk
zPSPU%EAv-44>#6_?iW?^CdYAVznhpNcD~HB17XwW&>!VRLD89gh)%%T8ivj=?$hTW
z`k}AwA!EqTi1N}kcrbb&Brj+f%atmNbfh{OqpoEMGj%EH8P}y9RbVOUoV^oElevH6
z>YjgIYAQ|>8e%}3#{K0};;faQtA8IJ#@WJb3c1j=VfD<^sE&j_Ez5k{FAb&K+-QLE
zMO`T6u8^v3jEmjOWNClLlQUFeOKtb{+$?k{u@`?GPWlp#SL0a>j=DDGm?`5j7#nZK
z8#3xKW)N_aFo+CE%4)96?#WY*I8x_i7v-I2q^m3!<TSri{mX#AA##B-H(UMkd1>TP
z(f@u9`R~)nCRm`gcboLN+V?*9%8v%H_WvK{`HuzucaQP_nG(9p>oRGteYE7V&`vn>
zh1tUi0H#iVe|F+R597f0jMH(M>eilr<Um}vD1v~`#L{nC%us8;oC@yvw5PC>BQ1mj
z1n2M5K|=IyfXHfHm3;-bpH|N@XiE=R#ds)>$<bw0csi_qpPli@u?+crXdN=Edc5<^
zyIWzb+GsdXm3iL&Y4qqR&NYr!3M0xc=%$;)S+LK^7!yocsuIW;R+Yq|<FnOWBm{uX
zQFsbFjX5^cKRKK{jeqnPoi0Szs86Kre7vC>ZGEzS{5YQLRZrbHs$gyQ6?;G>d03Sr
z0{iOId-0D_PU|<LcoJ*HV6aCkBxldOFeOjzys@3^72V)Dd!)oHj1OK>+G<&h@imq;
zpW&9J_1&ng&a&4Kv=Z@>n)_)S?Vvz6A0#;Ku)4ax_RwoL$<Ay4bCuVSB9KcHr=8lq
zPWT@P?3FctIxL`j5*2Cg$T^RJM6y#;p(K-#mgc(EYOo%7gJI?I5?A0#RUW=BdSbgf
znmbj5C3<HzD!M;CZvXQ-&tl2XL;;S(Q3>Z|<<M`EOA8(IGtmocGjS&r@_B_`6IvB%
zZq<S9Qr(l|ZWSstb_K@BCVgMl&daL!1Pit9OSdb`1Ovy@J>_OpjzU)c$uUmKzZK6t
z4SkYyk*3!ir>EI#K63duxnO%KMxci#<t>Me+PRg9WCo=>$YQW3f<rAUvo>HYL<yFw
ztas1RubV#$V^EITm<?^#E&Ar-vDy+G;8`mFY*+kB4dA#y!7g(_TJv{VEt1-<(@D!?
zdrx|}T{)Hp3+$D(^^q@;xwiD@4sL#9d=q=&(l$A8o!D=yS1K|MsB#?cSQ=`_Su<DX
zv8>Sbm1kl7&@7+mU?e85aozev)Pgpst*WRQ?}Doz)gE7!l^xHC_4HDR7T`_yP2M{4
zd>;RKlDA^eEq_^=>?G_QW2d#8hjU;X!+?Y!bx-^9R$hz!7`M6a*q~R}Ya&dN_-0@h
zv(O?_o-{7X<T(P-?R%!#Wt~zu{o&~+^+!Ve1aF%XKC_)cnP}W$`84otZ=dj!r#=pP
zUhTC{@0PeBXol{%0(Uz@d-*+F(%8moVyf&U6HnGZ9wJrW%(z*9<?lnW-EarUTYt0H
f|KqPqC+8HLUQV~(N$P<IeNmEPGNO6HdawQ$iX9tm

literal 0
HcmV?d00001

diff --git a/Help/markdown/vscode/home.md b/Help/markdown/vscode/home.md
index 3c04a4b..856b905 100644
--- a/Help/markdown/vscode/home.md
+++ b/Help/markdown/vscode/home.md
@@ -32,6 +32,7 @@ the logic is human-written code you can read, [test](testing.md), and ship.
 
 - **[Quick Start](quickstart.md)** — install the engine, create or open an analyzer, and run it over text.
 - **Claude Prompts** — let Claude help you build a prototype analyzer. The Help view lists several ready-to-paste prompts, one per task; choose the one you need and it opens with your machine's engine and analyzer paths already filled in. Start with [**General pointers: Claude + NLP++**](prompts/00-general-pointers.md) for an overview of the library.
+- **[Parse Trees](parsetrees.md)** — read the `.tree` files your passes produce, and draw any tree as a linguistic diagram you can zoom, drill into, and click back into the text.
 - **[Calling Analyzers from Python & Node.js](packages.md)** — drive an analyzer from your own code with the `NLPPlus` (PyPI) / `nlpplus` (npm) packages: pass data in, get results back.
 - **[Compiling Analyzers](compiling.md)** — turn an analyzer (and/or its knowledge base) into a fast compiled C++ library.
 - **[Regression Testing](testing.md)** — set up golden-file regression tests so you catch changes in your analyzer's output.
diff --git a/Help/markdown/vscode/parsetrees.md b/Help/markdown/vscode/parsetrees.md
new file mode 100644
index 0000000..f106332
--- /dev/null
+++ b/Help/markdown/vscode/parsetrees.md
@@ -0,0 +1,122 @@
+# Parse Trees
+
+Every pass of an NLP++ analyzer writes out the **parse tree** as it stood when that pass
+finished. Those trees are how you see what your rules actually did — which phrases got
+built, out of which words, by which rule.
+
+The extension gives you **two views of the same tree**: the `.tree` **text file**, which
+carries all the detail, and the **parse-tree graphic**, which draws it as a classic
+linguistic tree diagram.
+
+[← Back to Help home](home.md)
+
+![NLP++ parse-tree graphic](announcements/ParseTreeGraphic.png)
+
+## Where the trees are
+
+When you analyze a text file, the engine writes a log folder next to it — `MyText.txt_log/`
+— containing one `.tree` file per pass (`ana001.tree`, `ana002.tree`, …) plus `final.tree`
+for the finished parse.
+
+You can open them from the file tree, or:
+
+- **Analyzer Sequence view** → right-click a pass → **Open Tree file** — the tree as of that pass.
+- **Display Final Tree** (`Ctrl+Shift+F` / `Cmd+Shift+F` in a pass file) — the finished parse.
+- **Display Pass Tree** (`Ctrl+Shift+T` / `Cmd+Shift+T` in a pass file) — the tree for the pass you're editing.
+- **View selected tree** — right-click a selection in a text file to see just that portion.
+
+## Reading the text tree
+
+A `.tree` file is an indented list. Indent depth is the hierarchy, and each line is a node:
+
+```
+_ROOT [0,1429,0,1429,0,0,node,un]
+   _paragraph [0,342,0,342,6,12,node,un]
+      _sentence [0,183,0,183,5,24,node,un, ("name" "sentence1")]
+         _city [0,10,0,10,8,13,node]
+            LOS [0,2,0,2,0,0,alpha]
+```
+
+The label comes first, then the bracketed fields: the node's **character span** in the
+text (`start,end`), the same span in the unnormalized text, the **pass number** and
+**rule line** that built it, and the node **type** (`node`, `alpha`, `white`, …). Any
+attributes the node carries follow in parentheses.
+
+## What you can do from the text tree
+
+Put your cursor on **any node line** — a word or a phrase, at any depth — and right-click:
+
+- **Highlight text** — selects that node's span in the analyzed text file and opens it
+  beside the tree. On a phrase node you get the whole phrase; on a word, the word.
+- **Display Rule Fired** — opens the pass that built the node and jumps straight to the
+  rule that fired. For nodes that came out of a dictionary, it searches the dictionaries
+  instead.
+- **Generate @PATH** — writes the context `@PATH` for that node, ready to paste into a rule.
+- **Open Pass File** — opens the pass this tree came from.
+- **Fold All** (`Ctrl+Shift+F`) / **Unfold All** (`Ctrl+Shift+U`), and fold/unfold
+  recursively — collapse the tree text to the level you care about.
+
+## The parse-tree graphic
+
+From any `.tree` file:
+
+- 🌲 **The tree button** in the editor title bar — draws the whole tree.
+- 🖱️ **Right-click → Graph Entire Tree** — the same, from the context menu.
+- 🖱️ **Right-click → Graph Selected Portion of Tree** — draws just the **selected lines**,
+  or, with nothing selected, the **subtree under the cursor**. Use this to look at one
+  phrase inside a large tree.
+
+The graphic is **on-demand only**: opening a `.tree` file never draws anything by itself,
+so tree files open instantly. It re-uses a single panel, so graphing another tree replaces
+the one on screen rather than opening more tabs.
+
+### Getting around
+
+| Do this | Get this |
+| --- | --- |
+| **Scroll** | Zoom in and out |
+| **Shift + scroll** | Squeeze or spread the horizontal spacing between nodes |
+| **Drag** | Pan around the canvas |
+| **Click a phrase node** | Open **one level** — just that node's children |
+| **Click a word (leaf)** | Reveal it in the text — selects that word in the input file |
+| **Right-click** | Menu (below) |
+
+A tree opens fit to the window with the **root expanded and everything else closed**, so
+you drill down one node at a time instead of facing hundreds of tokens at once. Small
+trees (roughly 30 nodes or fewer) open fully.
+
+Labels never pile up on each other: at every level, labels that would overlap are staggered
+into the fewest extra rows needed, and they drop back onto one line as soon as they fit —
+or as soon as you spread the tree out with Shift + scroll.
+
+### The right-click menu
+
+- **Reveal Text** — on **any** node, word or phrase. Selects that node's whole span in the
+  analyzed text file. Right-click an `_np` and the entire noun phrase lights up.
+- **Expand all below** / **Collapse all below** — open or close a whole subtree at once
+  (offered on nodes that have children).
+- **Center all** — fit the whole tree back into the window.
+- **Expand all** / **Collapse all** — open or close the entire tree.
+
+Whitespace tokens and the pass banners at the top of the file are left out of the graphic,
+so what you see is the linguistic structure.
+
+## Working with both views
+
+The two views answer different questions, and they're best used together:
+
+- **The graphic** shows you **shape** — how the parse came together, where a phrase
+  attached, what got left flat.
+- **The text tree** shows you **detail** — the spans, the attributes, the pass and rule
+  that built each node, and the `@PATH` you need to write the next rule.
+
+A common loop: graph the tree, drill down until you find the node that's wrong, right-click
+**Reveal Text** to confirm what it covers, then go back to the `.tree` file and use
+**Display Rule Fired** on that same node to land on the rule that needs fixing.
+
+## See also
+
+- **[Quick Start](quickstart.md)** — create or open an analyzer and run it over text.
+- **[Node / Parse Tree Functions](../Table_of_Parse_Tree_Functions.md)** — the NLP++ functions that read and change the tree from inside a rule.
+- **[About Parse Trees](../VisualText_Basics/About_Parse_Trees.md)** — the concept behind the tree.
+- **[Regression Testing](testing.md)** — lock in the output once the tree looks right.