From afd5b8c60e5adf9f5efde97422ff97c3322e4a19 Mon Sep 17 00:00:00 2001
From: eulaly <johnmosescarter@gmail.com>
Date: Fri, 8 May 2026 21:57:04 -0400
Subject: [PATCH] full local streamlit support

---
 docs/streamlit-snapshot.png | Bin 0 -> 31037 bytes
 docs/tasks.org              |  90 +++++++++++++++-----------
 viz/streamlit.py            | 123 +++++++++++++++++++-----------------
 3 files changed, 119 insertions(+), 94 deletions(-)
 create mode 100644 docs/streamlit-snapshot.png

diff --git a/docs/streamlit-snapshot.png b/docs/streamlit-snapshot.png
new file mode 100644
index 0000000000000000000000000000000000000000..d7c3d42323ea6edc1eec5c172cdda2ab9a8485a3
GIT binary patch
literal 31037
zcmdqJ2UJsA*EWiJ)T10lMMOowiV6ZE1cV6K5T!~NLqJ79S`bJ9LddZnLEu;r2?9z9
zB_wnLp~MDAmy%FIh=7z3l1NDcgpj-Ol=r;v_un!8@7{0RG44MG3`Ta?d#^RuTysA2
znRBkkmu<{9ZQQ+4Mn-1SrHkk7Wn|W*0l!;*UJYE)PPm{3{8<%hZ+=#W)V7BWeE7-d
zjP)5AnWA{vrR!^f&l_%EbPbh}+5B<kcU41B&P^Gau+B^8&p3v;b0yMHr_mazR5Uy5
zV}gChG3F<Us(nnlQp4M;@%Y#0GU@ks+;w_)_ljJu$2*I%ti!4IzP??{wp@4Wx9XpY
ze!hC3^yrn4tM^jZm0H_ntoM{$c&~j#b9esb_ook@x%Io;!YO(!$?X`a?AcU+u&J#!
zgxVVVp)6J0@6Rt2+6WKCl%Z<B$O41Be-{q?`SteiuvIcLTQ+xU0@psAp#bAQeexn1
z`0(?3_733B&|W4m@4b66AuBiC`~TlfTWu)Dn8mqSqO>NgaRxl5?QFdC8BZd?(7U3o
z#lpm7rB;%&v7|+{RLb=N=9ndamSP+_)`DA4kFSB>sC(sCFvhAppV%LMah8Y1>WlMu
z!UyG`z1;SymjffhLV}KT4q?1;Do{q|@>Q=im_oL9B>H7y>2Q`M*D*6(%tf`vHR&=3
zmkUfo#QLsMH!&0}CnNJ_dy@&X{v+MVfrK7@EH#Rp_oRJ{4>(~Sie)T4Nr~3$H}&R^
zK8HzXdu(xydDvv~E&d?6j3AwF=!v?5%JwZLuaY_Kn}DJq8m$Bws@i2tlZH5Dmhff?
z^t7pplor&ox#cjkO)_+MSq=MT`MSiDTDr3EhwKO0$l*-3T7Y$O)V;vbp?0jvWwb<8
zztq*!ia3l3z3@?+tY*6tT77fDKrPA=F?>GJu&+C%pFqGye#=P`CLd1Sjp|c?Ibr)}
z@oc5_n<K9|7e};4Xx4TMn`m9No@$({)LXrNc;7%)ii6K0MS<x&xgj67gQ|4(+>E0O
zALf6z3N7!CXK(Heuc=9nsx|YaLGx%hjlAWVL=iVr*1Cp5x1#$660insi?yy0iRY&B
zgsz!K<JKPXZ7E<MTwTANS$OvogTda=SxxCMJ_$6@=&8-~gu#a5`SdGWrI4-ygXh@g
z7!Qd!o~NIPi=DX@IM$iy5k)JPk$GpPF#_idZqDkjETJLSXIvR0DHQBtr6Q(!gTY6$
zf#n_Be~38EdNt{dqf{^Eb!FRPrRz~)m<QfWovLVAR*9esVH(=yMl%&!5?P0iyGZqe
zo<hx3tqFU^Z5@vGiRR{dFDVXkHAt_A@RboOD$ug3?G01Ji_&cviDOQRHU^;%Stl8F
zSqak%!Na5tTFf2(<_e>B;`xySF4mQ8$(|Ov%*}dM9*p!_al)l6Gh@xxD^<;bxzj_B
zRFh(A7t1uNV}O~|9T|ZWDn@4R1a4AON#5?kdqtfegDlq}7Goac>!C<9u7DMz+UVfe
z=`yM*pgJqWS~C~;rbUE`<9CxOAv1_BpMi-Th;i$KyQPBMtG1_9j>`0veWQ<PbsD?4
zFU2bmpb_GZ_(aODFCxfgAw5a6HH_Als;F(sWAJdhHK9lBXsjZ}d^i~={eB>M-TdCd
z51mB92c)B&N|~-t+bijgFT`88@YD*(6IP&3Yk_S=e?UQB?DJZ~bBeyk6o&T)je^?i
zV@kX}CG6D7e1Mgynp{r9MgBhSy8+N=)GDvKru6}2vd9)a2$#$!WlX;=4Omd0HT}9c
zc{X`+Q7H&9&08Njo{Ya6$G&)~^r%avv}X|51so0?E2>JtON9)6)TnAh^706EG1j-K
zl_h!WJL%p>f3R<=%hvXl_YzFQP%zgkt>{sEg;z_C8yaiqIVHpYt$;54NCAtu=yvx#
z4!0?^xPGcs8*ln9E<`dPH_5jP9e2zbj>my_D`UIAC9$~O%s3yBiwA>C-(p(M#i>ii
zZcla}MW1PlM)$mmsou^}xlE)3>UUb_MKDF#?-+XiskQgA3l(X$w3ArzExXzaQY6qQ
z?{|(n8_(8|OZtAZw48SWlMo2q*>5j3htR%TqV03-#3_b&{@J&X$HUCW@=&~Q#c$F%
zUF`9cWgha>=4Eb>Duee0m7%{tDs8W-iRedFhuX{9ki&U7NoC|$QIV3hr~G(58yJ(U
zgy&rLMn<`WUVZ~*n=J29@-$-IU6u1)bNfLuG8JJNN0^ihuSThCoa)Qa#saFK;bT(Z
z=%?AFKxl7wFEZ3^zH4KkMuYMm#M@R({+$nB<gKZ(Jxog%Tuc;&=i?oMMO9JJovfuh
zM?WtY@@%pK$u<c)Mi}<DDXpRAmFQF)tfqC>S39MX%yQMGFH274K~_sI8H4khxVSv3
z+{CLDRl9GxG!)(yd^jw>0u>AR+Fx%R1-5QneRz15spNsC;q9+$LZ3F75mtvhV-o@h
z7uobcw#=xS2t^iG9hS7Vo4dG>VFppo{!0@fSa9{RPHvK}&+e#7P_6HDG%MXd0@WVu
zN>AzM@V@a(vm%|>05jj|^%}<9YMmegcEqAAWQI(|OgWFHJFPNooO3D%Jz>*RbOu;V
z9zS)?z!bajF0XrY0`M~K_xa6xlGx6W?b0=2O%(>L8ErY!Vm3#fq@OacN%0+IhL-Bj
z4xTW>hECpfeSOlGk_1@e=$t2AL~w?kAdMQ;i4>39bUAJ>A(~8w+RN>kf2Sw=`4YaM
zn7BU+BC?a~!n3X|Z-W#Mh|?CU7!v05<uN&$lf!afegiX*e8(#hR(7_l5-?akY3L55
zxNm=#T{ud+t%e*h-sX(j{e%p-@Y8mH@+J6-Hy0j#kQue)w`9zpCdXA?_WH!S?F~6_
zlv&Rz(4WX|5&kJbTf|sP(zi6-;{(Y<&P=HTuogyWoi@xbXP53AxdtqwiU$^(teXiZ
zu=ZOWUiSTEnAdo@ix?%ZOP&Fo5)IKB8Ket1D!UgbN-T8<`uLONkopL)mmMb&NuHv#
zK|NikX;HO?wjYk&z#4TpZL^~B3P+jI3*WS9a${`<(kgCPjD*Qu<~^2`EIPd}U(6Qk
zkEPX;z+=oDWEpzzz}OO_+N=>ol?ba~LH=@2THqX*&hiBv<EoZjYxCaXAv$ai|KrqW
zqa`aYb5#?V84ccsxBpIAc!{+eH+9ZOVjG;SQN?$fA%5zgO<0R8>cGInvf5qyL~-|(
zqk9i0)i#w!C&HMqc_ds&3QsunQB^t}U*K!m;BKU|oVfar)tJX6E`2j?F`52Au#;Z7
zmz=9aBhiT*n|f*I9s7zZlK9@*ydddptF4|y7`GNxnWWCW^E3&@wDU1GC^aaxoeOx(
znguikj}o1lHogBg0<aH40DE0_1W?5x!H5gAPOd>ctd6C*UAqp%_jLYKIfk<!kEL%x
z1>W?*;Tt!8?7DQ!@aA8tW|j+IzD-)g_mf0yVLdu*1FyW7GHpKzx)l5g&+v&NcfqSE
z%k_}fH^0IOHK@K(7X0}L)?<^5%yzq<+0KJup7G!-oXNbSJvH;JK;#A02fvufd-ct?
z@Y`}{+x&k2bI;|lol6Y?Z=PfcrMXLMB;xioSq6)#@-;Q`%ko=tzqKjrhPLJWY?@pc
z_Gg!@x&@ThrBwMPdxpj|)R<SS(Q@EMIn=}4o1&oj-kM#Rxe0anwBqlux|E;NSr-BT
z#IhZ-mrXwjKsb-hk>AgE1+5^UI8}ZrGpZs93T2i%sg?Rt7?j!m`}2%3t<I+h(!x}!
z$7LkX-Xu}v)Hjvh(!Th`3@xe+<PifCHgMN-$FtKG?g^g+LSJJ&=BZW`geq<wuoJa%
z;IdDy06s_BP{g`is{DLDv<bjzzg;As9-~kw*&d-8hPRWKDgcmp`Ftj1?>Pcbn!BM4
zuT@a%_iM??74LO`xq4R!cAqV1S;@ilmh_7|u)~W1P<^6w?2Z7{;*lQ#K)vA{0Be8z
z_5THue&J7HPK(PuV3>#LN1}lrb&I2JeXpFxE|RyK*{%HifbKiP|33ioTYsQsE0n0w
zvms8^cyWW-gR2n_IpHLqD$L*-nP2q)<rPG*I)ax<9J0}Ek%OUQQ!KPewv|MXK@Cs&
zU44pZ`7)L9=PjwT!ae{TZv*yd)FS&aiNw=QllOCohAZ7<_mRe{Qx}A2K&Ebh)eJ<5
zE~Rs2%qW}6tlo|OtR*9p+XP~!8iwLCMoxAhf8Ebq=N2($-i~d1zgA}NTep=P8rx04
z+?sC=)BBkZp=l{btwVrGd<NX60!9v?i?XX%t{eN9^q}rYqJZ~cR=zS`Y-Cf#1tQ1l
zi{$Gr?MWqzT7|3?1aG@5o8ge%9`?sq?-c=||9Y@9un-th?TX|NK84-W><s*F21HeR
zAH$UbfX~`1f!3u=#<du@QsmlKFuCepac9PMP>3JhfK)lUK2$Ms4wdI9NN#KAwy)nC
z^soO+I2<*t9KG96@IX6qNGgynOPAses&efUR+A(PGT#DUWHK<+tMt;Ipmpva)1;fr
zPL-2Jf9q+<xp0l5+}3JfM#;*_kAXvG_A}FEemoZ3Vn)$i-Kh!s5dG)n>v+aF;wF(6
zqzvBIkJzM*`Lf*E?o5JG0%$cFJ%bQw=RW9S#B4kLd`gyvQWRs^m8Wi=S`ai371ti7
zk9(7(lJ!uGKc`>Bh|paq@~G+Cg)kB>HCaKrzAp{c`W`4)*Mh}ja))$EVxs6XJ@S)q
zi2x-~N^fgwh#C~SfVqW8XecXaZNHg+TA1!`f6?SsbaIIQm4#P*kI>2Vu^l~rrpdlZ
z&QeGs`Uq<Z{e*77N62|Kts(OtC$tunNu!uePL^bz!}zCUsx+y-Lm^p+JRfQjUUQTJ
zOo>)`*cMJSNahFji_XMg;v|!T30Iw#<e+G{rJbuHyZoCO#cb7CEApc>4{`{{ztU><
zlK82-aau|*t2&~Oo=7nPcVz7m_EizvlfQ<f6R)#zEbJC2=QE#PaFv2L?2&SUdI}a@
z{j~&0u9(*3#KCR;Hp9AuQh1ymx7wQ5c|-w3Rf1v;(q$HGmC!*F|H^z}PmP^^tPv);
z(mZ)dx8zR$^YQp_^Ux@-&cJ3*%f!I2{fPq8TTubN63a@BD53qwJlfUA!jc+`hoD}%
zu@pA<)BIE!(La&SZ)DbVuZOV;Ub0cCV*@wM7<hD|vGCLKt+vOK^`%%q%4)N2oi7I&
z@V%79WNRMzu6#jIO;5gGm;q}$`(=8uR%c*i3_ND_{a3Im_eEEa3q^=C795SN-vN=8
zNoG5&5jkG>8g&l42VJ2ohoe7fx!5&iX63+%4N(U6ax7u8w4dpmjcN-L$guTMnYwu&
z+Y5Lx^Jp?@_bMMXx9^uPptQ*wB&TlMQ84LDJySGsuu5vzunv<TeAuUHK^{+2Ku6W)
z4=uPY{TG$Jo|<&~hIF<=s$CEewqHc8cc-*U__O`!9)l(IMOJv1sFP?Nr1<G1%5F~D
zL25eAbl=j}Y1C2FH~?$ZW>O3f=rT!Np4}a+HQ8{E%6r*@-k!>@SC6uVOS><U%}!IY
zE?jvEvvkjdY~TA0m5_3B31>egFV?p5Ro-n-{Q}&(gOi=jkSA^uQki0P%EZ#XcUz&7
zF{-3hXxb&_RM*n*WSP!D)^&E2N<|n&GPST+t7{)%Mlixo(G}SG;7o|$eT6?&?CvSu
zq0jr|-O(oK+$dVRhrzh|+@XHAXU!@8$zb1*cW|+2Gc@>P!Jyv4Sjo9Zrp*Wy^oLr-
z!1FHB1^zpE4TX^q^D?xF^jqP&$$Uv=Y;Xr@!qRtKI<owUV=dBBI>@YLlnMv&wWv%l
zw>8;}+TR!Z28sTBCPjN=8C%Zn6f<i1aa59P*G<-gm*^d4DT3B<){R?vX>joC|JV(y
zt;mOk1_jME2xIl+v*|D7Ytk^*vsIOI&(T5RhiPSc(txjULRn2;b%ZN#b_ZZB0&VJJ
z5iO67ze+klTx`ciXKG6VvKaRV7|p{eM6?MzIrmdJJgHBJ(GFBT$Q-Nhu!tIb8NR4`
zl1YL{ufQPAnz5KAv;H-xGnClW!`4bI!b$d4WdZd~iO`2w`GsZsU+vlZ)TAvn2qyU3
z4z#ZLGOIWBbz1TAR_8TY47WoD`!E>~%d<X~Le|-kE4P!-&z_x_4g31c<%!XP@%4wk
zv(`^xN7Xs|nJ)nYf8_M%ac11iZawBp#OPDlN5Ed2c|kK7&j9Pbb}w@sBtxG`p&D(C
z{O3J@viI&LvXR>r{<(>M|I7OSr`=WhFE<0e$|DmJ-9))aJ_NjR<7vvK@{44^qx@q}
z{^#S=y(rwp3el+by>2jg>gJP!f4Yjl2WF83GaVc^R<)mGS8@Lr-vg6f8TkLsyMdTN
zGV!HhI|vu^m!VX+La9NGP8PW9pUJwzKIUEx|M+lmmo7;<b0~2+#4^K|&a6Exx#Z$T
zOaic1mW|JNwjYk8Z(tf|RN~FT8>;J?V?q_623MPpIM=i3abMyKQCn?g_A%`p>3~}b
zfA9ik5ajC^ZH(f*uHSvD;}@$=r>ixYH{8(TGqKe9EKB#W>xt_Y^Gfpw1Iq;{if_|<
z96sg+4Dr-R9kD$S^kt90dbLU!AVpw;@qdrnp5ip2_t;tQOZqwsvfAgSvYx?f^%i9O
zf!!J(C|@-YWbNL<x9%|;Yon|21#z9k9Zp(0@mB%S0>0b)FAuu$C{rCyIhO|vOK<iP
z*<<n1#!xrs9op`baU<&8xKM>|yGa_&y7I^=Bj7dw4ygRKkQzXsbkMKu(3dM~H2uEr
zFG!y}q%dN2-zgomX0&@nScI0^1+jPSVsr^0H7~W#W16u|Ws^C4T*e-@{*_F|*T0u{
zHQFWVMowp*#hNZV3MeaJvJG;X;<N;^7LiUsHB78Mtj#@I_aNZ8?Auf2$F{=O{o6PS
z;Tlc3(+Bc5W;DugXi3`8cpqomaFA&i2Uj`<Ko$T<CLmU<VU`s++XyX^z<xKHk4|wr
z@*KuJn+EVbE2{Hv!vVDIQ5`Va#*u=IC3!h5mH+tut}XfV>i@X*hX(%JWB$GrBkFLF
zYw;)yU^X+6uA6IWXSI!yZhrr<OPr4)JC<n<1daMRCuq!7F}-amnsXi$DnQp5qd7j-
zIk|gGD?_Hfxhjd0HAF%r-|a+A$iTO}V32&`DeV5m3Qp9fY6Mi<^mc2-WYaWA!82Ps
zLca+Q)h-~DPvRqnpV75+wRzl!t|R{H8HS-8R@`nV1FKg=TF8haJGZ}bkY0z`1ffO(
zLzTd-6?1>f4e%nr!j<wnGZ`8g-}}=@#8ATIRZ0XyX-q5NxcTXLJ(dw{F}kMG5^GGp
zF}aBGL8IGw9vDI9Li^_JLF@Y|a!P&;ZEk>brgH1t9Jyh6?+0(#`ZFsgDcp|ZV?>4L
zelU!B;=MGSi($rc#^9hb%B^IMHc=cG8|r7E5_6$o(4}fgaO?Pq-~Tdh7O!BY{FBUu
zZ)xjEJVimsovnv^;o=SlOK&$7<zxAIm}}!(yZj5N!EKb6V+&n=-370U0<w*N?xEcJ
z@T?vRNb}1Q?lD>K{3;D|jY@pbA?$pwe#X7Xj+V(L-`PozR!JISoI?moayP_NhG&vn
zo_=`xW_w3=7OZ8U{>4bTVTyH$RvNk0^m`xkc1A0XG3LzJ(#H@lQ~C>9Vm3>JKEDzf
zWTf}#2j{Bahp%9`3rfX<?xw*5#fsd!<u}GCauKL*T7TwpclA+!kw~aQqIwO*EtiwF
z|1I@HR%9$z+C|lhy#Cdwc*qv1f8p8juD~8$Sq<$p#&;i#<=j*y*1IlK?EZMQ|D1Fz
z!GMH4V<?y^3PgYu$a<s2(VbR;PvNb6(XB-YA=}B;ZL1_juIkyuuO6k(3VIVt3zEI%
zW(0d8IFcg-u7?3;>4lgTz4;dv-&(<p;U;~n#4C?Gxz@8iTFKOFjnSGxh&jo#Yg4W|
z65OUo+`FOWh+1Q$lCcq@{S_>TFI2^N0c(%kXC{U8Fi%!3(z7FskmLY=zo_XN*{Hq=
zb^vy?qta<ak@x+qQ20QhYm!Bltwa|?k5(e-^ohxWV`(a*e4oT_^^vIF>KpH$nJM*G
z6E!yc%V{Am_A}%trsH7T+9X&;q^=itxmMa6g<=0BpB&&<Bq8_M?kTx#t`{9gOOZ<F
zvd7G%ri0{djBX3HxOU<}qZtFQ@M8nj5gvm3;sKU=pIzdT2fy>knYo22B0~0MAOoH6
z8PuG<i<U5ZwM}*6iT%{;#q&IuyZNsIqZ+<s$fLJ!v?X_BxFJSg_aEBCC_i->9gg5?
zFYZS)7w2sNDU9HI0t4GqGPY#ElfjlJv-#njef9=iJVdc2DFiC1EfKr0DyHgE%gvsT
zfuh0!+9hR0;};tLR_cr7`V|vyz9wSm0aVx9ElBY~(cUiZgQNQ7lU~p&7B)!oLdSp@
zGpGr_PI3COtLml?>zj$##lzTy{A|LpjYhU2?F3gMFU^`aRWKCY=SjJCuVEu5`Bb&2
zmuES}O|$FGiKIk+a>Vj+KiDJ1q29pK)P7COqkuH%Fbl@}9?7kjjo+WGTm?WCpDJ)1
zTw^0j65$S42z+4ZkxuY+z7hIR^)K@u1NV<)tEx}kI-LnQ@EPuJn|~?|R-pHI_5)lz
ziE;96fK`>ZwXRj>Pqj!01-r3l0=WIG+m_a&>E(kyJE9IDr;y){1kc$mD}^p!<JOkx
zYE;kOV!4}oO|{U11jZJ1U_P>;x_3=B>-x5%h7?`09`yFSKDU}N+g4jUS3eMbl%eR{
zhe{~x-n6s!(fYrJ1$d<@6dxiYxj|9lyV_CgZC+p6+H9>IMpj%>K|{QG0~+vddHBkU
zo|{ND!gZkut&rWcZkJeUMBh)bKCQLZ_q07id_!luaF-~c52yITjMz|hyvg_M0o3^(
z;e&*cmgGAj=7NAp?x3BE!>$^v#|v*Y?fwKyu#c!9)!X*sagDy`{{Dv&`xD?)X{xmi
z6f)-6638=Vlvm_=(_hwl-Z5UrMkF?UH&4STB@%Vh9ItJ=c}&X9iAfuKtLKVst*DI$
zO*oXcTZJJnWx2-l>Lrz^S1C*??ERX8SNA^o#0Mrr94a$4cT;N+(-Pw0bh{=WwUZHQ
z1B;x2_h02EvtP{~*^c90Vq~5Fr<;#Zf6VKf#n(5zQHxja!5yo*ey*mmm~v6KHB!-u
zSp)$kz+0VO#J9f7@B8H<d7C%IX&tljW<*^t4$$s|5!lu1rm?0LWC!m7M^ID<tzt5I
z7bf^{A}rg@04ixJqB)U4X5&idwcIX2v|9G~LL#8nqodCWYF5snP+k{4L^a_mbSubT
z{qQlyf-A|@@1rVaz^BO>>JHVpemz6-<Vs`8r+_xjZ>4Rj==YU-FoqTAhU&(ST4fg~
zh%Zu{4kt4U@+*!m4h&3#5?pY$^%H$1Lyw$B<}Qypo1kmLCqzsGiH7G6m}z2F){)!h
z@rb(K+DEjL3?nMN4$l0@c7VCsqera?BcT@e|3*<)C{A;y644!%s8PR!Vs@f-W%m;f
z%;VZ!_8Yc-st1E1r@o^dhe_UFu;UW>LJnI$yCGGtFPq=;lK{Nf*8F5HCFu(yKSMY8
z8_nZVoVOYds_g5conmj6mfGg2$Qyk7n3UQ8+Y`xIGIx!j#O>kyrW$O_z`PGM^XXIJ
z6jK><9T8fmE)v#L{BNFWd!NlfEsM%Rr3=aU)TL=X#6Ws(D0RNAt*SuBb5lzhB}#v`
zO^NgbbtLcWe&*(~<#tn*<!msIGBw8MaHN7M^gX1WzROb6u)?HU@zj};3H2#Bp)FH`
zM0ar*I~}mhF0Wkhg+e{RVADg)`n4%AjAAMZJ-Bw9x$eNb33+)Tee~!&yy`7%l4;-}
zXpp{oyEu{Elj~WZC&e(fC)~|fn;>YV%(OoCjte2C7vf6rw)Q4S|BRf~(Qt70B9?Bj
zj8#hO`HCH+PIp$KGLhS_Tbn<2UeyC{Iqd<mUgL5-8?vc3vN21o+enKE>%DAxn?kI@
z+%c?qTO--a)`vM}F@%dshqe7K;Td!@`LXT>mf7~7033JW9L1>)jJFCA;5L?7)KDfU
zxx(~T+1i8%M06ANB6)4%49Cj=Yuet{<L8s~ks=iZdCZRe1Z1%TSGKmG)$R&HKgd^4
zd6ri+fvYrl>3equc8cn^d??W^&urEPgxDVXJUD#&ZYMSpzK^*sNG}r-N`IeX;FjCF
zo1ZMN;Ffe*++kbb@QxPQ^(6jiUSVE-{=q-jp!R0pJr6?7CA%_eT&^@+dLi^P@`iP+
zzs>8D9kEXPvKXtv!b?kL9cCYIyw`*s%Q;Kgw1cf5_C6bu<s|QCpgsR`HHo9~x&9+*
z63f!B+k-#Ew67!L@%V<crGl{D^mRljr%&|4OFISKAT6maqQ?0;d&~xg4st(Rk)>2p
zDi8W-9myeR=7!$3KXAJHcQ!r2kVucM>DmTpQfXCCZPSyH#JqxT|N8AtSAxCIzR&8N
z9PM^%z+Z{gu38ZDF2e+%o}^cV&*HNFWUDU64PBZ|ihsb|wP`TvysB=?-l!=$ct7E1
z!bv657ydSOUrs+wjJJNHReX_rPIDHilVC|!M5e<DclHM?o#dG^gA-l5dkT)Z4=t+y
z5elwM8qk2X&UFrlT)bS@I*Zurl_v3&1I2!mqg^d_NwvcT?20v%?M}C!!X90f&MwDV
zkP?|om_(1~DVF1d(*goM$8%D;%=K5}<IF<0^eFrh%mN%_bzv7#BXln^$EmmMNRviq
z;PufO^s%z%$7YK*xIcy20gOf=5JM>)0(^x9fYkqrgMnL5{R?IM2#x=F$z?+q*8|Ar
zt8Vsg#eo1Aw(XDS9QZ4|OE}J~{r*8VV)ZXm{vKjnO6=3jCtaFmc0%#Kohw91!mup6
zycD#tD-bPy4>%j{>Wv?Y7}p-u#DuN>`G?=CQ|t`%_1}&MoOUnBvtEE)wH8pozXuVm
zoyq9j@%KFc80?RW&KKE8pp*h|Xc0U&J^JYw@4|4)5f|;`@1vGl5-;BUpAun!1#81$
zAVAQH3+Fe{fUt0WI8m#^Y;wXL1fnYlX!#cMaD`3!0XZmxo6cFummNHb@1fg||6`U}
z^JgiVfj}5*9blXo^KvDG-EPpD^_*1EZ|!iOmj0MH=_V}O;GG|XOHQMouB7Lm@c_|J
zv+1u32^x9ub84#y8Mg!Ixs=Qs1JffZe(Rq6BQ!f&`#a1MlCh78yR!l)=4e(9j-cEg
zM9URJr>tJTZN#@lM!<G|IYX$Vkjem`Wg*{E*7D82pyoaEM$SKi;>17XY}Cb7q{1H$
z=bj)KZg}seV^BBdh-kUve$Er2x6lmi^(TZ4$z;7rPJSOb=|Jt+RqqpQ<hT6;zW~hq
zKSldH+gYbO#pQP#%sPY#1k$^D;MIU;-_5^7TFeXPeE_O3a)1>*lXV3ZnFxod{A_UV
zukiejkthHGdX7_olS~RoTwWKGi2E%G2ZO!@t@j#HPIPE(+%TEkwQV5FW2y6ycVwLb
z)$2pi@37`IL*AGFijD0f_c33VpS2)AT)1-Y#!+7X-7|mKjUS=oc8`nXEaEmi<KrVa
zDg3zYsp<QG?%n@~Xjh_MAdWcVk;%BxM~(19Fp*WqxBU)#l*t)gG?RUqA2wMCeMypl
zQK}^)TOa@B6IY1ii)2Z^ok3=)1*PVekDLMBnp7PbLK_7+l_(7^43s-;ssJdeM5}^5
z29<tpt)C7Nq2;?~uR}iehs!ryh)<M+YVwI`Cjup@aUU6zcx^uranM+!mOSSKR!RCh
z#`zIhGPFCn$2p6FfoLW2*oRx9a#fo=X75w~Y^7_Qbb%F=%FiDzR(XM2Xz#D>61a29
z@r#hduWiZvf@DK~f0Ujd)VVB2b2nVSHMQ%-vnS@;{<)Wb)?=0*BV6sA$=(!7sCRaG
zlHw-v7qMCaB#{CRevJe5^kzg5W7Jx5rF&7=gZOP}R=Jqc8Zx<NxxO*MGfzV+&CN?I
z(ABvnlbxVokZVZI8kgX`%3SD<=jF%p!weInFOn6lx0ZAsY#toM`1@y*FzrtqHWea(
zkgx|<>a+b;io)#Gmie>7X+X_b{Yk<iG+OeBa%(vzW-LFdU8PsK=%4b~`vqQwxnB3G
zu|&VR4^d9e@O2-p@X{XZ7r#K@iPGn_4s9w7eKKCC*mPPG;pt7{HQRw<s-|Ats7(~3
z{+I5q7|u&iW%D@SLsy4fw9-!bheOQa=L^Mku>!E1;MUcKmz4_7RpuRD+yw?sEXjf`
z%~9~eR3JF9O{?TF?|krDNl5HXEt2ifz5XMj<K2Z5eB~3VBrJgFV^d{R>Fs&`hQUh$
zgyqW?kB+6Nxy$iD67gS@-xe4pg|e*t+^tQYW#nxm*&6HaVRU_FLH8)=u#rV#Doj$E
z2L}(;x=fu-BY7%oHs{qJ8&Hur8FzB)I8nhJEqNLl8DsK^wff)NOICGp7uM^s;Ao_j
z!tthSy+XB?J^&k4p<0q5(xIV6emAKXGnIjVAkVpaVeII}zXnnOYz(=GHp%=K)_PJJ
z;&oAp&a)?X;b;@8-(}?#o3DNs+4?)48C_M$NxAG`=*e4RcsoCX#e7Q`?P_h~8+KFR
zi}Oc0Zs)CafSl7}5#yq5qM;2{bjN>3nLx#NzHM$%l(EdQJghnJG+C$f?;s9fCOnp>
z@=-p|1jIGjQvpv7W@s|&<Cs^^*^*W19=hJJbMWIQMebr9S=8^an6Ci)aihV_qo%;f
zIN|D=0O+c5W<A_s@C3O?H{xb?n?7H?%c_%m8{iTT<p0U29?$Cx<j2JLsrv*;2n#v6
zCC0`+0$VY~msSQzM?DlwK}|D?DcVdGLP442;wfgi7U6Z_RKf(M@_B?I60)abb6Qy)
zzLTWM5?cg*lu^YUe@D;4dVgR*6q%}0cwtm$Ag9>h`4yGU3=u0-hT652cS9H6rMmfN
z{!M8<g~^tLTV^zAJu%79V5;-F+f&_i%JF_@=PL7JuBMY^F>^773c&t3-0jHhE#xjI
zVc6wlfANPV9h@PCO_J^6_DMM2jxJA<-9S-``DLQkVjyB9Go7J2%O<nJvZrsB(%T<d
zBjo+m3tl^bGw>lx)%EwHW}YbB=1@>A%@`Q3VlppW_@WOZf;zl4SKoc1QXhG@sf9Mq
zszrt|ryhV8_kXWNl&HBI@aem{IOQVAGu;n=uhT{HgCB?=x)Zb7n!JW%L=Vms-xa+l
zbUl4}ErJ4G3^%oNX(-Z?66cJeDF-H)0<YbeQqL~c7}-q}gmFrP(Xd=YA5V6N!=bVB
z8tm~6D|Yoy>K!oH0OJW_M-zNnD%@#(3%NTKwcY)+I#>KN;K0-(7oJ%%-}f-20viE>
z3GmMEt>hoLXy&;^(_W8_Wh3ga5;9P@M{ID@>wnS&2OHi07ghk$S}V-!&b)7VX8`Ym
z!2o1|7RK+5neK64r)d{MTFX+WsbgvRGI<>?qb2Xo-Jm6k+Is)v{=z_fZbC&jc;kQN
zaTx<krNz0=a-I=(h%L$9TU0fesWEMLo<vStCQcCS^TEZ0I~&TTInQ9t+y3F6R?-Zs
z!Tj<X$=BgJ%Y<N1#Va@==0$?F`I?f{dBi2M*W=r|NB&8{?#qINes-ROc>pja!;(Cy
z!N-NlxdniH)Ls#eFjY(kbMKH&0CEEX%=KW({Wo_Ehwi{RK)T@H2;WS&|KKkCFM0L>
zPDy5U4$zx-b1NOa+O8jWaiq}pbiw)R4(I7Kr`@mO)GFYF_W&*3t+NnT`cFs&pg)&u
zK5D;(XS^EG#ND3+wI*$Fcd$BNF8kYm{u==Q8q(6x`6Dgw$|Uy}*4UZJn=Vg&YOgXg
z`3Lw|Nw_+FfJ3$c&_XS~BW_Ihmh8EIIBQ_<7IeIX*=_$1{{7DkHn1jtQ}X{emw-~P
zqtV4Ix%YejVGG{<JCOV{=lLH3TS<fdcP_dA3LbhFWA`pAXRAX=ZE&lm=_|soW(j#w
zU9R6u5iuPA8@xiS_ip&3E?{MCz^neK7XT#Ud00l~_w#>Ded;HmCgD#hr2rLM+x`eA
zisWTvF79VqSTbKF5m+U%z?3#$>S-3l>^SB+-F?047*vennRquG*!D*q0ug{Lke=qh
zNpOJITmc+`aDz4y=@n%;B@}5$`xVkt6WTb}6#Se}Pdn(WGCPTpZ*c4ZrNzL;YXlB>
zBC9Jn48oi<BaRLK6N~(q!~-~Zz$n%4*1V;y-lQ*4$puO_?rCNB8<9gMTk>KqlA+X8
z!tH8)KoGxALdd4KVCh2b+d@Isb8nlZyyUn}u9)N9*59uzfFwF;`o*jR2;y-)LGlyx
zbw8>kfNBJhYKlWyCJ1$zL>Aq9*uS9}c_9OcbjS12m57c~T(k}?p~v`p^d{{hxEP7y
zW`=K4_3H-s>SE;|>_7cm9tBVBFQiGD`YYuda$R-3cy!~+`{hB*{Kw6qPjkqqh7XNS
z<UsD{SaA7(U5TS)8D;?S+J=dv^#D+03cTt~i7&mkGFH1FEo3Vj$rzZ`a10>6>bX%L
z43MuT!3!M5WB`RpM&hk|g9_5FD7IpQJ6_ZHo5JKS$ox4A$b*Dv%8q0h3u5Zk@<F-d
zmUJ?grr@H*ShlkbYKLgxDZg|l!oUz%L0&E+75q>UL?C$g@a?u4cSdq5aAxi11V(nL
z9=BF8eomNbTuvn6Zy<T!-2rxTgQ#X3lmkfAPrad)fpi|>)h9Q!_vbZpxxAC`W#prM
z2C+*MU0r?4O&I`|(;n#X-Q8ihp+l#eD@(Nxqr?i4OkLy|LUi0n{{xePL4)8<Ou>0`
zWFUp6_W&wklp%O8%EV~X{4}SYkl}d_=jE{^YWjj?fPehJmK8nAv`d5mZUQH)6=%EP
zr1$jMLN2h@PPVQbo68kn;SUCe-o+iMw)stB5aH65ucO<8d6P+K44qU6M?lIrF72eo
zl&ZcEv1wbb^a|NKsOLD@pAUI?A!5$g)fw~_e`8>dLgcC$Ul>2w5*QZ+spy3(f!hxz
z!9vFm=0`y?u277tuuO!mzhX<3H!dA1iVF|rn4WTzrt~XR#bdflZ{L767w!pEJ@I2P
zGEOqb#=bpl!avWpN_Nw6-YUFII-r=zP)4ZDyMJlXyzpp4yFeK})qB!sSR!V57?k)e
zaB6^DO5lP12W<T)R<WZ>NA|d;#NMuI`ZnC=!z(sIDVYoc1wkSl>h6bgaPHF2HWn-J
zXQG#@(VXo<H~EqS@y(+m&I&-5*s59M(9+s$&gUXhNlgt}wc-L*xaUt`RNGk?zWn6m
zN}~m^{kJ{nZlb&-i6*n1+X73amO!~IV@IrRgI6d35c>_xE6YRdIB}GLEMRa>jPJvg
zBwDjaJ97scxwm6;Wmc|_h`u2EvNtcqO$Rnclr85KIoSVFh*$#<R{;$e47vE);EQ0I
zQ<<gnDS2sc0k0ks(tbxow*_UVoR?EwS=!>Q-V`pz`+D7dFYMAO6mqJ%QQ=-TM9E&n
z^zfI4o-$?%Yb$at$Qz}1`Gxx5ZdjXeE4wWP^!{})fzwtc&_4u~zj2AIXaua!-SzG|
zRI`ayIDmrvRC~CclA|lXxX^N+OxB{X#PH*@6>jsFOSP)J>mZeO&0LpnZCNG^d(`Nf
zHQ%PT?FSlAe&2qJ0&u~%A`x{JjZTTS9&=N4N_AHtyso)bskyU@xY|K7)!2b+=y9~U
z(z_Ewx!X~G%MD=`c#hY#EhMei$a}E7y%k9G8ylnbTZp?|96;As*x0;2PGBcOON;3z
z<-anhoS7MD8t-%P7BNxQENw%Z6HFC%1N2Z_?azBK+v^dtuoRsde(b{on}4YO>8`+o
zsNG%{_(;AHy+h}$e7x>(hV7gT!Yxb>guMrY+Kv~+we^0)mW%J!IX*V*u-I7h=ttq-
zY5R9<WT`A#ar&n%NT9@Xr63IOW(_t#rwvdj_CMk%R;ZBbr`7WPaw`4Zh1?-?C9)~g
z&#0;&=|4SP&pm9LdLjjX7&0t>uy5BwTvUjgs88z~*>1EfsqvBh2S&?5W4qRe)FQDm
zLmkrpQ{cr&$TLWy?fN6YZdn<t!41@1_w6pkz6w5b&F-m4lC^TIYUHhw9SOmLh+LqA
z{TXT9qTkp-u-6$zRxD^FQa^7>-$CTC!9703K2F61ad)8QU`b8?ZR1bT^W~6-r5hr)
z&pE}97;C6@xPYGj=c_ucx}Iwy_nF72?R@O+A#f^49CLCmz(s7e=01sRx~+~1n(fO8
z8L;{okiYJF5dQ7O@hIPp*}i}<nYk;kJis-?=4{XU)2=`T$BJ0C7Rzt<n2TUrXh+8z
zz_6Yo@FFGmda@R6&n(VwEP0yQta>8mMtx)3Z^QauUKsW3d7a$k7SZgJ@hoNQp~|E<
z73*0I3lpV;sTYcYRp=`tBgNjU2~nJjFsO;L?z*P4yRsqC=~JR}myS*cv@6qevwCc5
zw&b<M<hWZ4aDMK`S|fF}s!nZZT}UvBF4w9W$7cqdHTm)Ahf&ZCzPjrbZkGE;6xW@?
zH~u;Buf2hV9|p}%t-AS%_fySp6!P0wiI+n4df--rAdj+~Edg=As(}wA>07+jbf5fI
zva*a14XfS_1a3g+jtrw9RBE_S|BC~G4{A5Ho~%SHz*}}6k^R?7-pvo^ygD*E;ni7F
zOi8rT%*(xl9<o9<Jpkt?v|mVIdaL(Op3yVUjooXY+jt5A`chuOYHfO<vKGUtWZ52E
zdEl=hfATB`!Vgc3UM|3^i>QpTj0fF1hL^NUcN0c7Z&U-1o<;TkGSioH)8~Gb&*%XQ
z!?DeT?#30l7MEy?&ZttP5hobV;hm@fU<pFx9xZqs`1fZ=9zN0)R#d-deROlS1G3lZ
z@aNWF8jpl;(fJFZ|33m%KWM}M<woSzi6?T`k7-{i=Z(Uujy-Z`EhMUdwLrB%VKRWm
zcCdgXTy{P)NYNtur>dM;!Ad^y2fc%+OK3(Sg`n~I*3=q7iCVW~T$-C9awb0(=79jp
z5R45<yoaBS+rBPgIszdq0Mxim4UV>Mo&8>n$$u|L*l{Jc<dG6b&E*NPLz0hU76OQ>
zN2qF@@4uWgLZs=Abz^U-Aq)of$sGYbKcD`i+7uF*VZc=JC9yhF!G(P#q3+gZP+oj<
zw%&i1AaoRRdO|huB$xatz?BMU&&N!`m#dYpaR6vnsKNh%>wK2)e|xm4%+rT7=npI9
z){#S7Unwfm9O)p`1RaeQo)S||Oviyqu8V$fyM}thGNpL43>Q8Dx*VambJver*tIwS
z;V4=Ya(6lasjIeh?ju@n<;@Uo26ybk;7c!>fqu1WY(FRHbqOgeJPH;v`os%chz%}8
zblg7_TSafjU54u5y@xeBo}L=X$bRV-T8RU^m)z8;8xdTAL944Mz#&DgJx3~d22fBy
zJ%}|4cRbv#xpGy!sW+jt!~Ah!dimRrTCTpWyoXAGGE9AP|HIFNgQ6Z<l$X2K9?=0R
z5$x>Y-%}YB7zk7#bXf<N1BDCLoT*h;{TsMt1XgowDlSos7`-jgltopXdw)RYhZ8v7
z#f=N6Iq+Djhnh(eamZ6IbEsfpB$t7mOUUJj%rXEp<m@t7v1~TlUD8laqd5+AzOdA8
zGNQ?kgQ%=724j{!=}VJ$sm>}x7?%{z%v4s6+%-n?(p+`ewJz!1O3JtLt3%woO&N@?
z@cg0j$;ZtMBOoQ#q<rL9!ZRRa#uIr2z5<eqOkuBdIa_};fD?(H(vLVcnX1E__k02S
zLgf6bj^H<&gA=go@Fk+H06qolqjxV2qaSx|bFV3wY!Zkg`aJ^t28Asg)lrp`YlmGS
z8A*Sa7)&0WyFMGe)^bPSt!Cv>O`X3W`UEy9s4wCxA8EJlB3XzfjdBGbX$4SHU{6W$
zjb}7E%&Ox_*l{=1$W*UIgolUG`%IlI#<beHU5W$F>=#ECOSN#vD?<WWKZRR&@Ygx}
z>8AhWs>4{i@U~%pdAs(B6)qBY*+B;u!E_F_KR>tA32K;)y!5eLQ?A?H9V(8Q_-#3y
zq3AdBqCcEK*6V3ccGrpOi`iI^qKW8&Q4sH6AMK&>!GLPVHoH&xLiBvyM;<i@2Ry*h
zsyAe0E|i{bx0>)}m0!aTcfY6<6nq<8^TLIK36gYU^`yoaplV=lSJgMUajn;{t9UOE
zTs6bG#f($T-Ibn<vQ4UeW*>u)HIXbwbbwPx6*;T{cA#>ESEi(JGov8~X~_!O+pd-S
z+Bppj%8FMR-q0LkK0NxJva7@RahxO#!04UC$N>Q-yd&ajq7!cR5C!KQ?tf(M580lf
z67t8tw~gApp8TxKtc~zM^cOLJLLv=3P4y&d`C!{?phiHi=MWPgzEb26s$^PX>0G@a
zTs#Ww)3~<z!V@R?`Vo&j>NKsRfo$ha>~c{T^LzU2dVxc|Cb~oGeEb`gFSDYlDUM}O
zOUi>{%=H9}i>oE`*CBM+N>}j3jk?UJxzq*e#Nc3JqS?5^1z%t9x>!htbQM3`Ur;uZ
zAsRDRG-sD<&%yaQgxq|8Hc);rlMby!yk=4(uD)<iK$!HO%)T+X1|7mBab-0cl0-Wf
z*upw9kdvi_v~6)H-b75-bnOsz6e?TKs%yv3+#n?}a*MqA3_;Hmj`*j0CUpQxED`r;
zhP~TU7~hta`bQ4mRQ%kcB!rnI_UT8xs`)da-!X*HT`7t}jf0belu_@&EprttAiHn2
z@%`ATjia9EXynnSKjx*wjG_--P89!2+tA@6*2l|{>2X9-MP$h6eM5n5<vCPkiR?<k
z-bCb^ud6bjA!)gPglSU=qbvfZg#hzk{Jflon7fnTVV-USRG6V0Jf6)0Sky7Z3Nd=W
zkql$+Jo3gXU_K*Wyq%E;6qSvPliIkdARpT~9C21~<;mj&%t?TcOLhwnpS$AND#pA`
zLorHxJ`UssM?4APB-IS6F$Z}r&I8+xHR^jDg_tQ`tr(95f=BMyb4`-~ij(4Ks%}yI
zSEuu^6c5hku1OV}w2<a!{Te}6Q|7IThRj!dz|jF+`3Opet!81a-eIFhGaqcUm>1qV
zJ_lPlf)?AXCIHMD{(iddV(Hj~Tg#n^@@Fo4+_R!h0Gdu~An9qhcit^;l`2>vU_FdN
z@(+aHrlH@+%Q?814?ov}C&>0ZKaqX@56g}j<bKrxYCfuESx(NWAL2}Y0$*R@GxVB(
z?42a`xnfpzcrIYa4F#&b4^I5Wd}P|C!p>dz-={(BEAb4V#UxEv)ge0Sci2b#IJH)G
z3INX&4kUJYmG~RG3rm*02=GVAsZyXt18~r9Y=L`#HdHwL_E*2XnT$gALIHnu70}qR
z2(-{7@OaOm&~V8Dp##9&$BkzVZ_CP@&O2d4o?&Mn{<%W3kNMD|J=}Pf3%sP_a(Fg`
z%`@o(8d>Jp)LAuMIkx`sKe|@H=7FnZcAoCbh8Tv9J#pv9D}za&&e^?vnK~4a8cG5h
zKGw+YTj`>gSqHd`{{vd;|9i&-#D&<9Q&MWMVu<7JU-Ae9GKnN=$Hvu@2Rg-7tWk<t
z=;9oE93mC7eU`t_Xn~MAeXq$DmcFT{;<{O;A%aM(nmYRu==h3EXOpo@BmO>ZuZxH`
z2s<4lJapxH*m0n<ZKd<<)Zy&@Dp6pdjrhGBcV-I;EF*KI5_mU?Nkg}SYFG<4bAm+<
z+5<xqIvi!TrKZ?XBuqXst_D6lx645Ns_&OlVxRkE$2ASd%#5rHWov3EhufE6+0f4q
zho_*Hybj@DWHZ%jaqJ1u8ooH)U_Rw#2D(jw&c2IC*rmaAH(a0q&CmKi^<*CmaWb#c
z)a^LX-lk^~KBFtR1hfOaNIYRnjz4vy0gRk;$CPa<xTo$%!3fHj(vw0Z?XsF1J6Kq%
zq_=3q+s*Bq1^MH(z8NQ=<@2k)u&hUVbDdctmQu4*y1+Sn*apXoJ52?e^1N5T-ka+C
z&tP7C#e>rM_*=K<Zt;ifI#xkPp{)x`vjcTC9d?6qCcmxIV$x{>-lUk1w(h!bYf=;w
zPN>2RrAU|MtG3L>K4vX8dkh+k)LFjlF{NLtpVZiBo1e7OX1NTsx{KdPJ`%Dq=Br@K
zDV8nwtD-`pLYh@msljwnYj0hCeEc5Cb!N(lR@GVm`9uoVWp7t$ffF>#jOa$rGNio3
zi3gcj+6#``4gY@nDbXWYy~_tByw^spJ!ME<04Q<uV|p&(Z~^-3yY&<~<Xb-M)|&!~
zXY^Z7?UWq!GSI#aLl?WQ(WFe}XiQFe?_mMm^2-bD>sva4X+UdrP6h&}Fi9DE*kX|y
zH73{pZlcMM0F=!F?7{9^LAGhZ8O|r!$+~dWmaGfF83@%vM#(^JNGZbr)_;Q}XfI<K
z2d7)Memi$fjYCJ(%$W;XGjh2gMp(}?bX$t913<u*ueKlqYZfJ{>iF7@<w**p(Vdg*
zt{Q`ZFXC>8$`~~Iu&uD&YQ9c8Jz?kM()UL-=i2v5lo<{??JM*=4_!k=+DZ7*uW=69
zHWJ_V<lQVi@%m^B_0deAS)90mEak)x+$8oXKSda1=7@mP73|ZEfNsZ6m%3KYe(?L=
z+#2g*Q_K546d$h|-*y)H+@DlY@AbuyRVA7BkX*Ru+ZA*LA+-g4;kvtHXsl&nFmGnx
z7tEIwvaF6fi@6CyTc^JiLa5hpHhH52EssplKa&D9;u{%=?s}F^r+i%mHdrc#XSS(@
z*DuL7C@W%Baak{!v(&Po{td9=6FF*;^F!tx0yMfT(LEeN#!;YIeu&apkbdHB3Vg``
zKbd%k3yunc81~->PCS_IiQnui*{$&tAvgKE%4%I#GEC(%G}8lGng%*EqS}%oo%L91
zY5`6iN!oaXsh*01bC$S4HBw>F`1rxDKo=Kyq>G1{zrSDfx^tPQXFaHxeyvYAEDs7|
zmrZ#0ebeAGx4*zSM>?5dU82@+^H#yn5xIt?0jtw$)z4L(K1vB1^qYN4xOHyo>=S*>
zK@{phlxQ$Y3^h1xVp{8C-$i^|n6nA!^anMFh!u^Krc0mIHf_HPS{SGdwGbL$MUN_7
zw=&b_{md>oy6gguxlotCTNikD!sV{2BrJEA()6R#a85z>;=^5>3#|nj>7a?_36oc5
zfVWHewUhf&vxX&h*E@+ZGSVGluz1kYBSuK@X-Wc^|Ku!pJS{E0@?7TJ$g|6@@3yT}
z%Do;4`vNCySvhB*Rh*_~gM+Cx_(Uf!0f#(b1pY2Zwl0qsq`d|j;c0drqJ8e(W53^$
zhno@US|S}x)s`xy=_<uEc~$?fLMuOtWd3tUKZlyViR!t0Bk+Z5D3*;JZ=?HDjV<pf
zh)6owI=66Iv58fcCj%XU6Fw$84Ul|VI^(B~-SE)enI=D_`&X`KGNX^KV9$>S-oU}w
zDE>XU3-`R5BV340Wm>PF<6s_P`;7Ko?;#x-+wslZ)ZK4ey!joq3^;n6D*bj?s)2eK
z9MC$Qw9TXBth+x)t5r{WXSs!stdD2zXc=uj8Hm&WqV<V)VTo5a{;6Tw7<gdWzOjLI
z!Txc4Nbqw7dxV@+NR9`E0&U@r<Jp|39i~X|aj5^tk4mlY0`aiVr|8n!@7P1Ct2>BQ
z>zOHjfJ=Sou!Sw0V-JG-BMPcWqA;FBY(bDNq?JpV{LRl`qYsrL_!T2d?8<X<fKVkP
zy+IY-f^6d;oP%z*HTAt7Z5NvT>8A7Zu#gbX2Zc&O(Sw(efI9+C1Idcw&CJRJP1QH(
z`5XLjAPuT|3FThyG{|(Bz&f&pWAe&UAefmX3@FnrTCU}kCS7e$lSaNfW&&u`tchlp
z(d>q8jMM;n@4zMuLTQ_A>2z>pyi*+E5>F?~sbmZ=nuxxuRA|MUqtnbP;6w}PB+MoL
zMODyn;QSIeacOLWc+YW;lrN2P9hpysv&)6x&}VXYCg@NK&052%3IhXrmiPL5rNR`h
z0B%B{b!7|2@$TDi5dvDr`n@elT~(3c78Gb{4r*-S<LeG|^G0LM_m_9;rrlZbO7&RJ
zyhdA7X<fk!M6J#=q=yy8$rEF7Sc=on4%;MGX--$OSEtMRu%z#muU4+Z;TfH{f>dG3
zO2c#uP9gQhW&{yJHMNbI1|{plMpUQX?96lWEp|?a7%sTZy(g``oDNcTeIr;gbz@!c
zc~?W?cQjxzd4_p`yoa@vO>AwZklaukP6G}V+4Mr(`q1C*eMi14;|4C7e4g6*3B~7`
zn(+bb#@Y==l}~Qw)aLpXw5K$5HbjO!s2pGPi!yt<A{A%l(2SKW8LGvc+}a`OZuP|>
z1^g)KYc|k&Y?Tm7QGUnnx))jQvecdo0-2pzNLMx;4FC3dtwBGH#zo9zUW3nnZ)nWG
zjLmNOHplMD^;hX^^(}@B)qQ~qmd_?TLwa!zqF2Iu5bC-{kUx+L*9w26EN~D-+GFMJ
zG~|B)+Kzvn0=SLYxrOnLtt<|SgZWt7t_+|&uRwS<qs%|Ubg|GY1`6c#PA4fbf8f9C
zKfvJs+>uIg#n$BKhkfkK<M$Xx%*n4bgs11&UD5YSFzn>61^Rwhdc^&@Us}6*#pwcB
z#Q&p@d;0HT)Bl6dz4{*##2XQiIpF^66}NI;!56e>=F!xjA1<UkKWrQ5*DL&bF4>8@
zUe0*wRz@eWmgmQi)bmi?Ze`vXlM{y<K(6xTrp(2#5u~np56C(eWd0mvZEbzrrQ57h
z>5T6R)9@~*1V|!Skar(Rz?DwMG1ZfCahFPW-zsj-w<wLK?mqHaeWU-iZMT6G065LR
z>vR|V>AE8dD~@U>V*4e9D+wO|S9@O`4)yvzJnBS>R#KKw+4sFrlw@DBW>?u|981O$
zX;V>>-AseB8&a|kZKsfBY%@rV99hm-LkKy&_eYe@`Cjk!J>TE^Uf1vUUhh9$nfc7~
z+|Rw=_jBL(M^8TPa}uL=Hc^w;)WR%6yVQwim>_%9T!HIDa@-xkUaZcc+WSRFxN0w}
z7%)X?9D2uMM0$LRO^ek?LGGOKgY)<0lhAFGTbhT52Zb}wv1O<dx$Y%@3e+bwJhA&!
zslYX7-7)bi`v~skmr`{%22|81m7dYPWuwZe*$w3kg#?e%LrX6*tOjg+a>S)2K4}xi
zS>LByF^^l!-w3#=5Hl0**{G{pdl$`cKPxZ!(?Z~<m=A$_abKU`_!{Cgm`L_A8T={~
z&4p4GmZ;~iZ(JX)UE6lgKed2A9s78P8=O0EO#XT{B-q@ru1?H>GzAe8S7s+^?aRJO
zzXU$R9vs0NOasyz3WCr4DY3s(>MSa>roOPYa5|K!ECzjeX(pyJ$<m~uc(dU4R*z>5
zzn_{uApe|@(}3fn7I>lWjV5~KzS1x-WKqBUZmRHHVdXrFoNA}J*)4Q>*M%g7W7x;@
z5=@wdqtf;KN={6ukNy_&7JhqC{nveQY?!)o4HCYom}Z0tyRGOs8X~Y}dlZjKde_UO
zolR6%*}(=c=I+N`Y2{4~G6`;}A%$nFQK&l!jxmlybgChmrB@97p9amVO=6BdySunP
zm|diVxV{MJZEWn=_*!oaZbd6aaiTCgZAy(O7B#n5>rm%h)|Yz@45;2ofO%9I^=2#R
zS3_;vc)fT$1Jm=S$gQ@^GcZDpkVB0s+kal_Q@X--VlS{xYV5bwc8AzT>51J^hHF<<
zp@8LcNq(v1!CC(0mjOrRizTNJZq4X->~!c1c=2)i@;SHD{fIKxuKkAW--kAIQrN?x
z90{qOH>HkkR#Z|kb)Jr|X66`%x~4y&l$Pi}X(Xe!zJu}$xf0qZd~BF?HOTxnUd43{
zofUIpHtG=zZe~Z^kWAH2I}PMNT}o{ohEia5k^92E*q2Btu4Ld?u|nd#Tz|KHc?-lk
z2JRw4L8js$Y`}(B!sxHhx3G(IXZ=;qP}=Mx$wpfH@2l$FH@?|EaMID3Ira?o@hJtf
z5TrON)3sXr#W>GHdP|C`mzfB3%-R(ndqOXFUd%@=ZRc7nt4O@bH0y~~qVl#u%Mj9-
zt4luc?(@MU^h_~yO^{ole(PK$&8--l_6T6p?dO7?T+|PWAb6e1d_CV*&z~r>6AG#o
zYV7p-Nj7`&N%s5l>I(-OezB<{vB4M@@wSfH*(;X$^w>jnYWZpq`Nl?n<DOSdn+tQ~
zSfGkX_@;2BKC#a&MlTLcT6{slNSQ}uQhWstP@o%GhSa&y(j-dGoMJ9hlkQCRVhGd_
z_=y$19>RQNSDfaTe0A@3YP$Px5AR=H_-%7VADPJ$dtm6-&t_{t=Q++#g_;TYX9E-0
z8jM_hQ_0vM{;9JvLn^><*F21bS!EAI7=CaWB0ZZ?f_&cuKJ?2P)<Q*buLa8w5{FEd
ze!@^hzlLx9F4}zlE!8pW%z?EWcpBlrLSw1uHOswtgm7wS&i)fqo@%#_t${&u6ybC~
zx9V}CyKC~rGjkDk#MhB0klg-v`S3&JLrLyzhi#Br@<m*NugJexAOy<OeuYALyJ!8a
zNNFBt#MtN;6B5!s)|h<QGZ(3Q6jpeOslGKbGxM+_epnd$1mr+$m|*sRg&_9_k@!IT
zyug7d^tClO3B$8F7}x8Q?mQUsyjY>O{@O`4Q-yQc9jYfmorcs~$KJ}FJPR6;aKlx2
zpGa>>DK{nYUqi=oxCyV6b;&5_kT}7_EwU<CSCS+Ewex}<=$_V7n8kJZHM%_1O>3yg
zqy&5&kH@As5KT4Cnh*D<AUy%Lv&A>TOu2YCt)s2w1^c%M8;?@H93YQ@SeBESm=e%)
z<H7DQ8Nu3J-}8^rFTSm;<}qlle}P$*T3`3eIn}~DO<CO#weiGd@W#|bEc6^Sza2nW
zKEdP`nN!`t#;rA<eq7Hr4Z0eBXt@ftdb_<vqm+oWd%213Y~Br4ucz*QZD>Izb^aU7
zg(%Y>f`q8y@3Q%`Iz`R@#AX=5t$$-kyEj+x;difUZ1@445{Es51F-1tC+U7jYa{(z
zy3QQ+^T02DS1<p>s88tpRQ=pe215<y+wGf<tpV-T%CFRkPc^}$Jbk=~zs~Jp;%cu5
zu7|6a@hf@esfq74Vz;0Ci!E>TNlmx*bfkbHyaFvGrptAt3))2yY!W1rVhS4i7CoR5
zM7C_nZUR*CFtjkzpbf-c5syznrWZuyf+BBg32f-S#^zVf(W)qCmqBoU)}9vu$w-Pi
z-G1tpzW!Qcs37R*NK4^-4j0-Bxs$na9B~#<M|tRqAB-egF)}OQ-1#ko5nqQL?6(Xy
z?KUwnwK0;?w<F00o9;HXZ&Q8tX)7y#x!W_wmqbe5QS+0-9-b=Msd<@-*wi-_&X717
z*%xfubN=z?ckZ5&giX6?ejE3O6nVX`VCZ?f6gl;fcFyf>ymQShI@I28N+k@>{Ahil
z@iYY5B-L0YRyDb1S@kv$N{@vHzV7scWqI`cE!fQ3m*M5%k1Q#y=g;SxdHJ=Ec2T@K
zqCbm;h5O<pd=Acn69=Uuxzc(vjZj39vxWQc(UUB4ZuMaErUs2EC`UVsh}X+Bov&4)
z3f~vLgH_kcv?56{1UgRkWjOH><C9W*3B^KF*tF;AR_RD(!&QodHwjkz?g6aOcixMJ
z0HFK&mNUtpXzEP`ljtLA7ELpAm#l5$ER=KRaxophb*=uHd<(urho~NI<559PqGuPO
zVIN}=?;|C0&w7;diVyIO{{}T$$egjJl5*Q+lI1?o+I_o^c7j}I%Mpx<<U9>!5{8LR
ze2|C3V|y3Ut*k-6yu2=-q8v~sx_7C+EGR9Jet3wy#-}<xr!r-qHAupXTCr5wSV@BK
z;-cdJ$N0cjA?lHPi-wXu$Nh$UJchGbE|7{YC_<Iz4<*0ZcdB1#;>NinT&phHe`pqd
zmfTn4o+&9DMWZG#2jqv10sWqJ1~mU}trfXGhIm150}QIx+K6k2H}hyZIXq{LHQ9tX
zkEe$Yvw{ZZIz0=z3`psB`qPRQ`1xy?#nAzh)^)9A#iofI04FvKKWCx~reiC}6LeE`
zK|`h47<DmTQ9KmXZnpFlaEjWHc_G9r1sG~EMUEuviVj&IB<LBof%v(bX|N>?>OFau
zg===Osp@WaSy5H2(cm$@Y77!a6!djy|H|+U8t*=I?PQDw;(s)#LnCv(^m>w10t6DG
zL5PQ>(`N33NK@+zU9$S7GN)7*cPwWG<jx%`^P<3~-0jz6ECmW&Suk2SSon&Yy<!fn
zovH6^2DBQIO`O{NUxfw6xKtgmVeW$q*L5gEX<IW*#K}~e$VmhP8iM$FlBU%j=n%_@
z4Ovz*)PT*FSr!Igh(HaLc6I$)e37mka#lsUDm83vh|uRGzf<?aW7A2>Rr?GpnP&C|
zMn<TFAJ9K$Xx-i>$3s<IAt*1n+^Yl)FwDmLR<&)ykJ~ubm1U+~9d6C1304vl3BH6#
zS0X0PHC6qI{7#<_G&8)8a5ebm%@~uPNH;eSEWiN7@f=ULdSxZcXxd5n#q8C+q+XJ&
z5e}L8yz0}Q<O%uGb~6PNabc~d7EEQqF%^Qx<$cRf^WQTX|3~=z-?dQxtv7p9>5sJ>
z8ntc}3*CqKhv5woSvfEzE^2%0Sg(GvaxuYU?$sUncLO~=P@z}kQs)are69Y7jawK&
zy%7ApicEp3$Tu5le!njE9DcM!Yp+O9aYzUXk~1U6?qa<NWqH{wgjSy7^{BM#YzD>=
zzMFaWLns#jgLb^ZSTugP-9<vyQ}1yAdtop8vCkEWI2^9};tKp9*g)uhNbIzE7g`Jr
z89_&J=@0OjG1rm6%MS#F)2HBJuDYN?D=~Fu%h@>AG%FWc$x`oqNC$LYy9c3QXG_)1
zEGugGGa`9ww1qqp5AJ40&I}?Kb+@^73=S8VMW_6^*-2tzSG5wyOaDr*iq`3eB~(3w
zlCnmQiuYQ64ZBe%)=MO3g14i3;y10*!EH3ewDOZqW!wm8s?!*~74e}pUrBj1lDe#=
zM?gypAkk^srPUMDWp*)ezdNTNZYo5@KG`T9HvdH;!z!5CR<d}TI+2KL_9*`;!u)|*
zO&4c=7QV*84`BPovYTpSvMSFO)owxEqPJDn69c;4x*87w8sE?gB{W@Ve&$`{L1st1
zAw$yVD6t;Jw0RZyV>+ebB~=R>B~hxU5iEc_?_rdrzT1vUJ^uY~G3xk*hqup`!VvK_
zTY%jS#Ehp^{C!36dd7n0Ld|ETQ7;~?lJ7tf;`JR`-T0s%{3Q*4#p{&X?Y@O)K+Q9b
zWmUf_S4rZKXsp-}dU_C|1%#6{dsXE8ipS7knIWSYb`5d7GrD^0E;vW63%$SbE2huX
zT^>QR4GQIeL|X{A-hDy#SbV95k+`U7HztkZ2|^-;W!zls83PW3aq6L`e_!3fh1R~<
za24SZNF=?gT3ti3N!Kvjv}nNB3MI%0KKC-Y0b_N=;8$U?_>{l6?7!|wXP=08*q~^n
zcUTfV0t+31d3`AD2W*Z^>_UYl0ldpRem|oNXwb)%7yR))>D~j_sCIRuk7ThF%x2W9
zhSd*%4`;Kipk{R%_^qW37+8<F>mUrPUAvr>Yhd93q>#$CRt(rUq9hxTfN7b4VpRSo
zqFH>X7m`SHg$NH|e-YALK9-kTLOwQM+3HcU`DX;of``y~k~_o7(He>n-X#A8YJB($
zXa1kptA`I%Yu6k-?z1z$AayE<aV;p4h`O#{IoEb1#CWp`CZhAhSC9NZ;j6zYz}YL;
zi^`xjmwq0DvXA|^g6gZjN@c+ld*A-)JF;A>yQzZEe$K?n)HTYP0d->QDj#W<&U@2l
zLDrRf%BZ)HMBnVP(<#aBzrsz&h@=Fa(ykP=X;lqU6pQGb6()oq*NId2t|~p)nQIs~
z>fCv}yv>M`3Qn&S@h*CLpmpq<+De=RmVf_tNgpWz4sCe><fwWKlFmyV1W|(c0OQF*
z?uB^aZ`)h}hj;+8ta0d>^PqFj`yJ_6&Z#;{HG#(2u_{$j=rz70=+hNO{J%rt(aiw|
zF%Ko)2SP>+CCP%gAddqkWs3u$l0h0tEwkWOv@FN>??5_{VYmPPt7T06KY$If<B)mY
zs`Boy4v5RD142(L*#_$01wv3=*Gb@QL<++}3g6L%o_xLH)G)Vt@W!IY1c%njVZYw8
zf#0xVs^p=y^wj^(>u~Gu_&Vt{_jPw(gRV+)X4~&+DT9YPb<?sh)IBRa<GY`_>$iK_
zBl;?uPMwHHlX?MOoiRo^eoRj&63iPtZT11EfM5v9p#MSPaA)85L^bsJTcI2;`6@Yp
zMa3%zXs^eNA`vgusz%mO1#w+|JOSb55JZM5aM5vwprl$cT`n(YI;h)C*@B9d1H)IS
zN)&5uF^KFsnF4k$pvEPJ>-(>*LMl6=A<%+x-rqL-FMVMBysW1QUt1`%bIAcQJy(2T
zxo_F=a4>|aoG=t&HMQ;q55%r-^_XADk_(ChsNMjo$~T{&3T(OI7R_UhZx+i_L{TuM
zZ<p#J9%?-A#85~fif1!`I}qw?6;_$DSi3G%6ruoRwLMcI;{uyeaAf4irT_IG=ZP+H
z-&DCBFRH|<Y7fFwM@K7R3Q(DgiQ{V(lMGxr#PYTxI_XySpTKVsWJvFl?qBLQFpJkL
zeeuV)gM5P}PxLPOQp+kXqUL;5EG*y`X)wq0$LXZwzSeVuD*Hd@gizAbd+kZ<V1~A!
z@NyFHFJGACkjGN9PP`4+ABw4gQ1rC#bTTW1&heZ-Ev-%@;g-MWJ>GK`FRCQ*#CIg0
z*CM#ZThPE{g#v0lO-l}rkY-Vsh~%qpRJ&1GqX<zRO+KX-QMxN<%LGd_?Wa??O?<*N
zNmS{MFRsY}wR_VF4MdEA)t`nGj#iHPSMXVEOqg@fiN`Cv_8pmlo0S2n81Vf~zApu{
zjcrwm!xUxu#^N1#t$UvAv+(QLmSSS7V&P}IR|d5EF_^x&4A;!0?E^R-Gb7FKk+jVI
z9<<i3-v$ngz(+Ud@-*|0^k~C>|FS;!1fMW07!`$P5RqBlW2Uyx;fyCUf*&lVAbP<2
z)S=0}BMyfEiUt25et6h$Hn+nd9xw0>`%3%#3;5vaaD-yPm2!|s;E1lY>#6M0&R=J=
znI>=0!){csFD5r(%Ln7soOjJw=n*$;6K);5(fc$$JsvNN;B;oP9m0A~%@Y{nOsQ-!
zXF-anbMsS0-<~Cd{QHfZJ3N^oy)l)Tbe=ea7Pq+8O*gS!H~zznF`<c#{_GI5V_GF3
zR2fVw!eQHA28n5jDVZVyF#G{%`0apVH6sG`wLH`Xcg=iGPaWg>hLv?+SD4p&O9^uH
zaOs#GJu3N_)fPD|z>s$YK5Cy29)>lbg$&`t$c;S&eaO)C0TTlNF{Yt#)<20KuN@_X
zHb<)yXC^MXF`v)$UvfB<-gSvEakDR<x45B!7dc;R{tCnIzdV;4W9gUc57IIKkFxTl
zC6rbo&Ivs1T}h3$gvud*cSu+W^gPwxMQfj2fP+vUBdX&njGzLPE3TqEvctfPd!htL
z3v_Sx20YxWB<Ghh*0LXSI5_}|h{^b9E|X;^P=GKIaHdI&D=O*G0XSNG7Xjg;WPe<g
zXw66#a-L;ywuu8@fjs*;d<=>G{xR^^ec(_nc?r)R5?{S;%olS0MXOraa`nW#nO0v*
zqLC#AxUZN5SL(qD6k?waBaD3$VJ8123IZWQUXUo&yJ!vi35@_ZK)1!WbFhLqCC4gK
z2f2S)T7J$_4KD=W>PsoO{c*I}J=2U1ISb&U?jS-)Gv1?;UU$vm$IH}(&xIY*5M_k=
zJMah;-*GghRoe3*T2#qkWjSH{wAa8M$N~p8@{3Q^O)lgh2SGr)b`Erl>K-6IQ_r2L
z?<YXmNoc;FgXY&O%(F3&L>d0De9;ILUp@^T2j9xMcnv78)mNDcFfAYwF>xdgpY(?S
zArz`!19+%T84%7ue!QFVNN;@?d+1!6^0E*hdjL${kg;5*POJfOW)VR-g2TLZ^4cr^
zJC>Y%Golh9#VRg$y$=>vl4&t8qr;$3Q>sMLYY2+XAkSb;Xno<w(7Pn~9c9bQwT`7O
zpBLfU(AztJLa;X>O2DmeUjgi82`EM&h^xY+)HUjUiZOiw2~p)Jw9F*jWAF9sMpxt5
zOOOb6&s_cD$>i1NSJphba*Fll{|;8%|G?O9<W5>=&$6HDbY_v9pW9z%_gB>OQnxH`
zqDJH@+w@it!4e>2Q^142P|xDRT+V32aTSaG{axISzb)$V7em%HFuhBcNoXZnfbyFN
ziN(6`mfOC#n~<NzC7+Y}P{UD*bW_Se*_JA3^rV9ewO(^h(#(+WafCED>J1A`UIebY
zgCKIvg&%o9n2g#30RI7g6=yNLm~FQ{sK|f#5;jQ(ND!qKZq`J$`!jL7_BG##(-~}6
zfH#UZt08eJL@ggwMC96YDNHj4PA(&x{KqIgl0ns?ZqHpub7{4^$Xjb6PB!)9^?WA-
zG;vMw?`YF0#QO0b1lR9PWZ1C^&Bfyt^@n+j6DUkmGzS-*;sWc85P>ZpU(38lKRl-(
z`cAy`qEV?=Z_4b_;cK5{$#a=Ds7>m`sz>afhp4EA5kinyOW<B;9@X+*aCO06YMIS^
zmbpdOyv4S4<hBJx+^8nj>@%>1uF8RTwsWuFq=ZPcju2+=`00Ep<v&~iT<F4f`9t#V
zd1K1kd28IB?k7{*$&|h1Euy1A<)VobY!%IS=#u@%ar!hd%6mHcB|5o}M|6WXx!Tbx
zJbT;L&GS&toGMSj48BPUiK5N49v46V$q0Hf1~pZuZk+p4d|c%hn|)pdWtY4p_P%o)
z6O0Sulf-$>+A1d<s@;}m>iYiOwMS(FVab~OxZGIlwmqM;_{N9Pqq9E#4Lj8qk1oDe
zzSvztNPDa}?EX9{Q{c}^_Jb9%75(i=c&B80r>`!Uq*q_xx#ny)GjF+2v5nKCY@TkQ
z%v1G=f^W_)Qd5AQe#l&aQm3d}K_FoR%m%M|<gL>9DW<XVSaw=UFxnoAjZv=4P6-^3
zJGHah;Kk>I2hbILR&IrP^iYf2eT_{s)5@mmmuDXl5S0g6O(OW~+`lq?N#F5w0sA!9
z)ydh-X*?QLE)W)A<cbkWN)iYYmtNEel1OTUNOUkcB&>bg$4KcW&S{FYReo?^<Z0Z{
zP4U*48s&jX{MoV*dM(_!ko`t9q4ZX?RFGPQdK2H1t)wS9J`JS~)?b9up=cYMmo!+*
zXwB3r7H0aT20?P$F%<@q2>Q#u>7C?Tcz<IV>N4PyW34*ZY^_Q4`IwW^Z^AodC6s~B
zCI!NxuUEf2HEqrQNh^bEg#QmqaR!{efA>zc)5l)wTvDU8D<^cTPvQq%I$XV#XEOCS
zhm|zyln$cuX^Fv()#Wr=lX(8i^rt+umOEKiOOhR!C<}`E0{g|V^dnY%dUN$x${)C{
z+pr&D18!$+)`gSV1q(D!Tj4$xTEiVp8NWWgB@=j;(LqYWwlU^u<DN>V#BQhA&<f2;
z9(RAer^+=xTK3)O7Wv@>zOg-X*6g3PGHh~nNHH2R#pJ$$*<Uq_Y!-4wA55?x7Lon6
ziO=WmYYbMyK)uw8K5<tlFhbT<k@I~`+5JyMM(u>E4*M{9JPQ%6SV|*xn3rz-a8{rP
zhB-Z~#4|F%<i1x&rGDdNC3_AnFlJwh$XejdPH|*^eX*6#PWV8N>~*~C#tFXHoPs;1
z?W!l4Dg3y@+b-Hj1vPz;GoEuUmwC?a+N&@2>+>O(7Ucwbe<K=W&itS&&C8te%IwW~
zTNzy5rP(|49vW=rFNTw4Ch`2l_)dZ}mYkpLG}!wfEh}a*<75nVqU*%lMUA5K<F!14
zode0j4|J$a4?jQiHp1L>sy5%u66PE6yM4$<8bi_!T<y+4n0L;_S8|k`|L{RX5&e@L
zWJ<*C>IIss*>0w>Z62{Dl-HP+2ihD2=?eArbL)CHSUkN7gZ5_HHaOmXn$UxC87WF=
zXp}0*dFMCHB-O-x9)X+Y%#SOia(X`QPTEMg-O7*4x*Fmr{XY2J$#;x{<rF(&+k<lA
zv+7s(c9FE#Ez-+Y;(5>txeX!B<XUBN(bkw2y##(7Z%Y`?Ir8i?zP66YR-cAZwI|sH
zlf5FDDHk@mJ`eaNZ68~jl$7dPwkk~wQ4Iq`m`->%T_t9)HFe31X8(C$t|4kRj^C~y
z<Gwq3k$0Y|SjTs<>-UNsukJu9_8+}pGgcLnse{JN)T|NY?$NiKo2ywhVlr}Yba;`&
z1QdS`3`f5NW(2oY-P}a(qH--0B|vhnv_`g>Gq|lN$opcHna}LgAXV45i)3qf-YeZI
zHW~)R3;CIjH@&ZinzwE`8?~1Te_r2%^rP6L;QQ9hFeD_#sc4`TCm$#Fa(q>bM68S?
z3@_2HzGp#riK3N&5tuL(hpGb<Q>br5E8KNz3eAF5V&`7!{|tFf`6aMdaW2%)Fjv57
z6uBmPfdW|R)Vm;SJWQ||A3LALE!c?Ns%2PY+AlY$uv|<?uS!&BL{xQE=XD?M&yJ01
zZ|BD894&5>URrLj%Q!_onUq$(ko$OHA$OD`e<KRj3#BW!cqTD-pmzYKtN%mv{!`2O
z?VYE;cg>AoLM~U>q|<QC%$*xhsyE?)S3P0m+!D<!&PEV<*U|}ii%#fA@TToQ!PVJD
zGf11v<y~-S!`?=c*vnS~a1oKGKGU^zuQXW}-azV-MstbWC8uGo957`v9!P7@rG}gJ
zLHQ)w?QN#|jNDPYg5UEr#&Y-LvFVs29Zqa0lsb6(+xRoIGTuTm(Omg<mQ|JZ&eL*+
zl5MIH*qlS!8Q8o7xz8SEM^H@E&2`d}>I(Q<+&sjoxdp9omrCwtkh$@&y^G+Uv<Qt+
ziU6>r&{6CSp-p&kD*GlZks`+(Qq+P^N`0*KC|3mg%RM*aS0$gfTO^>F`7C|TlTEbc
z338_u6`;D~0&vLb@S0AzpwBk#ll799qhhCbSqt&uLZTnC-g$yOw=2%>{N47mjRBH+
z!E*P_^b(TkQ0mZ?xQ*XYZ|?b5NUJXO`&W8mcNmni<6;~cGLk0m!4>9?{E?cSj~0lo
z!RNCC;gwv#Cp^00apSQT%(_vg%_e2Cdg`YV(BMyb4eb_8bc+m<N#Zylv`qzWl4M@y
zk$!>aLQLb&3k-(0=LJ={GNPiOpCME-DJ@+%qxQ4bMoV3JJtk8!r;llC+k@!rXVrHa
z17qDuoHkM+J1$o&fG`l>WLS|p#I`&-_U(OM8<WnsPxZRH8TaYkwh`uf3+Ww!CRt4n
ztS@eKJu3VLu;CR$_K?plCkiM<Y(pNsO>FB?EE|9+q%pE{=n}Y7FuDU33CmCZBYp6n
nG3-C|5C6kA`?5TJ`t@SlM(cZSHBAZtC`wCR|M<gW_Lu(`eOqrN

literal 0
HcmV?d00001

diff --git a/docs/tasks.org b/docs/tasks.org
index 5cce12c..7e8fc82 100644
--- a/docs/tasks.org
+++ b/docs/tasks.org
@@ -314,8 +314,59 @@ fix mojibake in scraped text before analysis/reporting, especially curly quotes
 - before/after sample: N/A — f452.jsonl is clean; tests cover synthetic mojibake patterns
 - datetime: [2026-05-07 Thu 17:00]
 
-* [ ] t1.4: graph data prep
-create a script ./viz/prototype_charts.py generating individual plotly charts for exploring graphs to embed into streamlit or dash later
+* [X] t1.4: graph data prototype
+create ./viz/prototype_charts.py generating individual plotly charts for exploring graphs to embed into streamlit or dash later
+
+** acceptance criteria
+2. create graph for Stance/Share
+   - stacked h-bar with % support/oppose/neutral/unknown + raw totals, eg  63% (5720) / 37% (3320) / 0.09% (8) / 0.37% (34)
+   - later, consider centered diverging h-bar: oppose ← | neutral/unknown | → support
+3. create graph for Stance/Time: 
+   - cumulative support/oppose % over time
+4. create graph for Stance/Tone (heatmap count)
+5. create graph for Confidence/Stance (boxplot or histogram)
+
+** notes
+- prototyped in plotly
+- initial streamlit  
+
+** evidence
+- commit: 3fb424d
+- tests: see viz/proto and viz/chart_tests
+- datetime: [2026-05-08 Fri 08:38]
+
+* [ ] t1.5: streamlit
+create organized webpage displaying useful information from completed job and analysis
+
+** acceptance criteria
+1. display total stance breakdown
+2. display centered horiz-bar with absolute stances
+3. show daily comment stances and cumulative
+4. show comment table with filters for stance (filter tone?)
+5. clicking/selecting a comment shows full text and model rationale
+6. app runs locally with one command
+
+** notes
+data pulls entirely from the job; goal is to point viz/streamlit.py at any job/ folder and have everything it needs
+
+** evidence
+- commit: 
+- tests: from root dir, `streamlit run viz/streamlit.py`
+
+7. add forum_url, forum_collected_date to scraper
+
+* [ ] t1.6 host streamlit
+figure out how to host this, locally or via streamlit servers
+   
+* === Backlog ===
+
+* [ ] X: complete proposal information
+Ensure we capture as much useful information as possible about the actual proposal - contact information, etc. what the state actually says about what was posted. 
+** acceptance criteria
+1. Item: `Forum` stores id, url, proposal title, description, open/close date, number of comments, agency, board, guidance document id
+   - add details for guidanceDoc, publication date, comments, guidance docs - eg: https://www.townhall.virginia.gov/L/GDocForum.cfm?GDocForumID=452
+2. Item: `Comment` stores forum_id, comment_id, author, title, text, date, url
+* [ ] X: add helper data to create_csv
 1. in create_csv.py, create helper columns:
    - stance_signed = {"support":1, "oppose":-1, "neutral":0, "unknown":0}
    - stance_weighted = stance_signed * stance_confidence
@@ -325,38 +376,3 @@ create a script ./viz/prototype_charts.py generating individual plotly charts fo
    - text_norm
    - text_hash
    - confidence_bucket = 'low' <.7 | 'med' .7-.89 | 'high' >=.9
-
-2. add forum_url, forum_collected_date to scraper
-        
-2. create graph for Stance/Share
-   - stacked h-bar with % support/oppose/neutral/unknown + raw totals, eg  63% (5720) / 37% (3320) / 0.09% (8) / 0.37% (34)
-   - later, consider centered diverging h-bar: oppose ← | neutral/unknown | → support
-3. create graph for Stance/Time: 
-   - cumulative support/oppose % over time
-4. create graph for Stance/Tone (heatmap count)
-5. create graph for Confidence/Stance (boxplot or histogram)
-   
-
-** acceptance criteria
-1. load parquet/csv review dataset
-2. show stance counts, tone counts, tag counts, and confidence histogram
-3. provide filters for stance, tone, confidence, tag, and text search
-4. show filtered comment table
-5. clicking/selecting a comment shows full text and model rationale
-6. app runs locally with one command
-
-** notes
-
-** evidence
-- commit:
-- tests:
-- datetime:
-    
-* === Backlog ===
-
-* [ ] X: complete proposal information
-Ensure we capture as much useful information as possible about the actual proposal - contact information, etc. what the state actually says about what was posted. 
-** acceptance criteria
-1. Item: `Forum` stores id, url, proposal title, description, open/close date, number of comments, agency, board, guidance document id
-   - add details for guidanceDoc, publication date, comments, guidance docs - eg: https://www.townhall.virginia.gov/L/GDocForum.cfm?GDocForumID=452
-2. Item: `Comment` stores forum_id, comment_id, author, title, text, date, url
diff --git a/viz/streamlit.py b/viz/streamlit.py
index 491b2da..81f54d7 100644
--- a/viz/streamlit.py
+++ b/viz/streamlit.py
@@ -1,6 +1,7 @@
-# streamlit run analysis/viz/comment_streamlit2.py
-from datetime import datetime as dt
+# streamlit run analysis/viz/streamlit.py
+import argparse
 from pathlib import Path
+from datetime import datetime as dt
 import pandas as pd
 import plotly.graph_objects as go
 import plotly.express as px
@@ -15,25 +16,21 @@ forum = pd.read_json(workdir/"forum.jsonl", lines=True).iloc[0].to_dict()
 prompt = (workdir/"prompt.txt").read_text(encoding="utf-8")
 
 stance_colors = {'oppose':'#ffa15a', 'neutral':'#e377c2','support':'#19d3f3','unknown':'#000000'}
-#stance_colors = {'oppose':'orange', 'neutral':'green','support':'blue','unknown':'gray','mixed':'violet'}
-stance_order = ["oppose", "neutral", "unknown", "support"]
+stance_order = ["oppose", "mixed", "unknown", "neutral", "support"]
 
 st.set_page_config(layout="wide")
-st.title("Virginia Townhall Explorer")
-st.divider()
-st.subheader(forum.get('reg_title'))
+st.title("Virginia Townhall Explorer",anchor=None)
+st.caption("Explore data collected from Virginia's public comment system. Source code at https://github.com/eulaly/vath")
+
+st.subheader("Proposal",anchor=None,divider="gray")
+st.markdown(f"**{forum.get('reg_title')}**")
 st.text(forum.get('reg_desc'))
-st.caption(f"Link: https://www.townhall.virginia.gov/L/Comments.cfm?GDocForumID={forum.get('forum_id')}")
+st.caption(f'Comments posted from {dt.strftime(min(df.date_dt),"%D")}—{dt.strftime(max(df.date_dt),"%D")} at https://www.townhall.virginia.gov/L/Comments.cfm?GDocForumID={forum.get("forum_id")}')
 
-st.write(f'Comments posted from {dt.strftime(min(df.date_dt),"%D")}—{dt.strftime(max(df.date_dt),"%D")}')
-st.write('Data collected on _')
-
-st.subheader("Comment Summary")
-# summary
+st.subheader("Comment Summary",anchor=False,divider="gray")
 summary_left, summary_right = st.columns([1,2])
 with summary_left:
-    # summary table
-    #summary_stats = df.groupby("stance").size().reindex(stance_order,fill_value=0).reset_index(name="count")
+# Summary Table
     summary_stats = (
     df.groupby("stance").size()
       .reindex(stance_order, fill_value=0)
@@ -43,7 +40,7 @@ with summary_left:
 
     st.dataframe(summary_stats, hide_index=True, width="stretch")
 with summary_right:
-# stance div-h
+# Stance div-h
     counts = df["stance"].value_counts()
     stance_divh = go.Figure()
     stance_divh.add_bar(y=["stance"], x=[-counts.get("oppose",0)], name="oppose", orientation="h", marker_color=stance_colors.get('oppose'), text=[counts.get("oppose",0)], textposition="inside")
@@ -52,14 +49,7 @@ with summary_right:
     stance_divh.add_bar(y=["stance"], x=[counts.get("support",0)], name="support", orientation="h", marker_color=stance_colors.get('support'), text=[counts.get("support",0)], textposition="inside")
     stance_divh.update_yaxes(title_text="",showticklabels=False)
     stance_divh.update_layout(barmode="relative", title="", height=180, margin=dict(l=0,r=0,t=0,b=0),xaxis_title="", yaxis_title="",legend=dict(orientation="v",y=0.12))
-                              #legend_orientation="v")
     st.plotly_chart(stance_divh,width='stretch')
-    
-# stance_time
-#stance_order = ["oppose", "neutral","unknown","support"]
-#daily = df.groupby(["date_day", "stance"]).size().reset_index(name="count")
-#stance_time = px.bar(daily, x="date_day", y="count", color="stance", category_orders={"stance": stance_order},color_discrete_map=stance_colors,title="")
-#st.plotly_chart(stance_time, width='stretch')
 
 # Daily Comments Breakdown, 3 Tabs
 daily_wide = (
@@ -90,6 +80,7 @@ cum_share_long = (
       .melt(id_vars="date_day", var_name="stance", value_name="cumulative_share")
 )
 
+
 tab_daily, tab_area, tab_share = st.tabs([
     "Daily",
     "Cumulative",
@@ -132,46 +123,64 @@ with tab_share:
     fig.update_yaxes(tickformat=".0%", range=[0, 1])
     fig.update_layout(height=420, legend_orientation="v")
     st.plotly_chart(fig, width="stretch")
-
-st.subheader("Comment Explorer")    
-
-# stance/tone heatmap
-# TODO add raw values
-# TODO OPT add button to swap between pct/tone <> pct/stance
-x_order = ["unknown","oppose","mixed","neutral","support"]  # includes mixed even if absent; harmless zero column
-y_order = ["positive","neutral","mixed","negative","unclear"]
-tab = pd.crosstab(df["tone"], df["stance"]).reindex(index=y_order, columns=x_order, fill_value=0)
-pct = tab.div(tab.sum(axis=1).replace(0, pd.NA), axis=0).fillna(0)
-fig = px.imshow(
-    pct,
-    x=x_order, y=y_order,
-    text_auto=".0%",
-    aspect="auto",
-    color_continuous_scale="Greens",
-    title="tone by stance, percent within tone",
-)
-fig.update_traces(text=tab.astype(str) + " / " + (pct*100).round(0).astype(int).astype(str) + "%")
-fig.update_layout(height=420, xaxis_title="stance", yaxis_title="tone")
-st.plotly_chart(fig, width='stretch')
-
+    
+st.subheader("Comment Explorer",anchor=False,divider="gray") 
 # comment explorer
-stance = st.multiselect("Filter stance", sorted(df["stance"].dropna().unique()), default=sorted(df["stance"].dropna().unique()))
-q = st.text_input("Search comment text")
-dff = df[df["stance"].isin(stance)]
-if q:
-    dff = dff[dff["text"].fillna("").str.contains(q, case=False, regex=False)]
+cex_left, cex_right = st.columns([1,1])
+with cex_left:
+    stance = st.multiselect("Filter stance", sorted(df["stance"].dropna().unique()), default=sorted(df["stance"].dropna().unique()))
+    q = st.text_input("Search comment title and text")
+    dff = df[df["stance"].isin(stance)]
+    if q:
+        dff = dff[dff["text"].fillna("").str.contains(q, case=False, regex=False)]
+
+with cex_right:
+    filter_tone = st.multiselect("Filter tone", sorted(df["tone"].dropna().unique()), default=sorted(df["tone"].dropna().unique()))
+    st.text(""); st.text("")
+    st.text("Showing " + str(len(dff))+ " comments",text_alignment="right", width="stretch")
 
 st.dataframe(dff[["comment_id", "title", "text", "stance", "stance_confidence", "tone"]], width="stretch")
-st.write("Showing " + str(len(dff))+ " comments")
 
-cid = st.selectbox("comment", dff["comment_id"].astype(str))
+cid = st.selectbox("Select comment to view:", dff["comment_id"].astype(str))
 row = dff[dff["comment_id"].astype(str) == cid].iloc[0]
 
-st.subheader(row["title"])
-st.write(row["text"])
-st.write(row["author"] + ", " + row["date"][:10])
-st.markdown(f"**stance:** {row['stance']} \t|\t **confidence:** {row['stance_confidence']:.2f} \t|\t **tone:** {row['tone']}")
-st.write("**analysis:** "+ row["stance_rationale"])
+st.markdown(f'**{row["title"]}**')
+st.text(row["text"])
+st.write(row["author"] + ", " + row["date_dt"].strftime("%D"))
+
+st.divider()
+
+st.subheader('Analysis')
+cexs_left, cexs_right = st.columns([1,1])
+with cexs_left:
+    st.write(f"**stance:** {row['stance']}")
+    st.write(f"**stance_confidence:** {row['stance_confidence']:.2f}")
+    st.write(f"**tone:** {row['tone']}")
+    st.write("**analysis:** "+ row["stance_rationale"])
+with cexs_right:
+    x_order = ["unknown","oppose","mixed","neutral","support"]  # includes mixed even if absent; harmless zero column
+    y_order = ["positive","neutral","mixed","negative","unclear"]
+    tab = pd.crosstab(df["tone"], df["stance"]).reindex(index=y_order, columns=x_order, fill_value=0)
+    pct = tab.div(tab.sum(axis=1).replace(0, pd.NA), axis=0).fillna(0)
+    tone_stance = px.imshow(
+        pct,
+        x=x_order, y=y_order,
+        text_auto=".0%",
+        aspect="auto",
+        color_continuous_scale="Greens",
+    )
+    tone_stance.update_traces(text=tab.astype(str) + " / " + (pct*100).round(0).astype(int).astype(str) + "%")
+    tone_stance.add_scatter(x=[row["stance"]],y=[row["tone"]],mode="markers",marker=dict(size=15,color="yellow",symbol="cross",line=dict(width=1, color="red")),showlegend=False)
+    tone_stance.update_layout(height=420, xaxis_title="stance", yaxis_title="tone")
+    st.plotly_chart(tone_stance, width='stretch')
+    st.caption("Tone by stance, % within tone", text_alignment="right",width="stretch")
+
+st.divider()
 st.write("**model:** " + str(row["model"]))
 with st.expander("Prompt", expanded=False):
     st.code(prompt, language="text")
+
+tone_conf = px.box(df,x="stance",y="stance_confidence",color="stance",category_orders={"stance":stance_order},color_discrete_map=stance_colors,points="outliers",title="Comment Stance Classification Confidence")
+tone_conf.update_yaxes(range=[0,1.02])
+tone_conf.update_layout(height=430, legend_orientation="v")
+st.plotly_chart(tone_conf,width="stretch")