From db21e4e2aadbbe9326b09d2ebbabcb6ca3c19f97 Mon Sep 17 00:00:00 2001
From: jeksterslab <jeksterslab@users.noreply.github.com>
Date: Tue, 18 Jun 2024 23:58:45 +0000
Subject: [PATCH] Automated build.

Files changed:
M	.setup/build/betaNB.pdf
M	.setup/build/betaNB_1.0.4.9000.tar.gz
A	.setup/latex/bib/quarto.bib
D	.setup/latex/pdf/.gitignore
D	.setup/latex/pdf/betaNB-001-description.pdf
D	.setup/latex/pdf/betaNB-999-session.pdf
D	.setup/latex/pdf/betaNB-zzz-references.pdf
D	.setup/latex/pdf/betaNB-zzz-tests-benchmark.pdf
D	.setup/latex/pdf/betaNB-zzz-tests-external.pdf
D	.setup/latex/pdf/betaNB-zzz-tests-internal.pdf
D	.setup/latex/pdf/betaNB-zzz-tests-staging.pdf
D	.setup/latex/pdf/bib.bib
M	README.md
M	data/nas1982.rda
---
 .setup/build/betaNB.pdf                       |  Bin 194379 -> 194379 bytes
 .setup/build/betaNB_1.0.4.9000.tar.gz         |  Bin 19066 -> 16559 bytes
 .setup/latex/bib/quarto.bib                   |   11 +
 .setup/latex/pdf/.gitignore                   |    5 -
 .setup/latex/pdf/betaNB-001-description.pdf   |  Bin 86623 -> 0 bytes
 .setup/latex/pdf/betaNB-999-session.pdf       |  Bin 89277 -> 0 bytes
 .setup/latex/pdf/betaNB-zzz-references.pdf    |  Bin 218457 -> 0 bytes
 .../latex/pdf/betaNB-zzz-tests-benchmark.pdf  |  Bin 80490 -> 0 bytes
 .../latex/pdf/betaNB-zzz-tests-external.pdf   |  Bin 88698 -> 0 bytes
 .../latex/pdf/betaNB-zzz-tests-internal.pdf   |  Bin 96806 -> 0 bytes
 .setup/latex/pdf/betaNB-zzz-tests-staging.pdf |  Bin 111332 -> 0 bytes
 .setup/latex/pdf/bib.bib                      | 4551 -----------------
 README.md                                     |   34 +-
 data/nas1982.rda                              |  Bin 1628 -> 1628 bytes
 14 files changed, 28 insertions(+), 4573 deletions(-)
 create mode 100644 .setup/latex/bib/quarto.bib
 delete mode 100644 .setup/latex/pdf/.gitignore
 delete mode 100644 .setup/latex/pdf/betaNB-001-description.pdf
 delete mode 100644 .setup/latex/pdf/betaNB-999-session.pdf
 delete mode 100644 .setup/latex/pdf/betaNB-zzz-references.pdf
 delete mode 100644 .setup/latex/pdf/betaNB-zzz-tests-benchmark.pdf
 delete mode 100644 .setup/latex/pdf/betaNB-zzz-tests-external.pdf
 delete mode 100644 .setup/latex/pdf/betaNB-zzz-tests-internal.pdf
 delete mode 100644 .setup/latex/pdf/betaNB-zzz-tests-staging.pdf
 delete mode 100644 .setup/latex/pdf/bib.bib

diff --git a/.setup/build/betaNB.pdf b/.setup/build/betaNB.pdf
index de7cda12ae6eb482ced995691838dcfd2b906f56..30225496afa41ad9d8fe2fd79a2d28bb8b8fb43a 100644
GIT binary patch
delta 127
zcmX^8j{EdG?uHh|EllrTDw>!Xm`7=H>HFrVxFnXODrmS^85tOv7?>Ga7#V{kxAVVZ
z`oQk&<Y??>;$-UVY+&K+W@Kn-X=3hXVCrIF;p%K?Xyj&Wr(i=!$#$ntOq{F$u}C8y

delta 127
zcmX^8j{EdG?uHh|EllrTDjJ!a7)EJw>HFrVxFnXODrmS^85tOv7?>Ga7#V{kxAVVZ
z`oQjN?qX@+=<4F;Vqk9S;%I4LZs}_5Vr1@OW?|xFXk=_^r(i=!$#$ntOq{F$uHPdG

diff --git a/.setup/build/betaNB_1.0.4.9000.tar.gz b/.setup/build/betaNB_1.0.4.9000.tar.gz
index 71d82193704b53634bb423914697907bd60e6046..f52b86de8ba00f61418972785a871e2bc5273d1e 100644
GIT binary patch
literal 16559
zcmV)UK(N0biwFP!000001MPjwawA!GSV@|ZG_W<2En5#uvhJX&M?g0K;>{|~aMUbT
zRX0af)fB+$>7HVBF_B0T*-T`DnF$uy2q+Ye&`N(`Z@lxyj_}@&uov2R;RuJr;g!ST
zPw*F5KIgvj<^wMh1j(vI1W4q~`#AS?UiaK{I)<;ke7y1GX?wS|w|}tr#mjpu|CHg=
ztk>y(_(cC#Ynz+*D)nZqUavIE&E~ywrP_ekq<n7;pP}b#E`Z`Xjz25ky!UtXv#;r=
z+KI76I&>jq4ou&Ir^nD+&v&%}Id)vqGEQ8>^GwGkPmhlc-6w7HJHyL-X}FlUMJlCo
zsa|>nlbP8W`aQ?>K5cE041v!8@;G+x#5^}_vQ4sk=bBA^uIWyP?3`$p<9OKu&B#B;
zTHmxTFz3GEnJ1bZe(gGz0WbAjRvY@+0?F#GLH`YU*?cIc(br51>v2op8mFEQa9CRB
z(-TZC=}tdfFC_F0+ox53(c0a6f+cZv7U5ef)*n_L79ZBD<!nBmd183FYYu$c_0J63
za5dlXi0#+|&DHvb@0vR4$Pv^X``GLnwr&v91~ASw%cD)_o*ug}q(3GHX2<K9u4bDB
zQhD^Kwncv0b<C|wxm2l^D;tkCAC~LYN7Z_>@u>E*JS~gU0xQ?<YHk<iqD$Ohj&#R3
zJ~nj|`s0xtPHdh)PU84I!zBirK@Vq;4S{Lv*05{ZC!{~Ld~*OJtUIo2SQ>V*Ks=*w
zLeG3tv(y)&bbsJF=LQ`;(<ZH=cQ({qqYLHO4>G+hLe(_^AQy+n!}5!Csvw7;?{p2z
zBgdxiL-x)EvHH1uDf6oJe2esaf8cFxY@C>WZ`i>p-%u9923zpKA`sb?JSAS#ba?KK
z%;Vun%NRJW?=9HChUs}j*elOX-LO5_S}*nv$R_|XjPmon-KQ_xPcu(#-NEtSBCigf
z6(44vYu{Zw(R^)-`0miiw4Bk!i2-ZPGCe=n*WA;t^A0!DLF?61T#f_7?gBh5lKa^<
zsg)X~az3-y=TO3c`d+3zJUKBud_J{J-z^YV)Keg^czwU8`J$nhjt_8dmTIL+=A~hD
zy<Mk2FxkXy!7|Tqq|x0X)pE67EH{glhooBDsyDV851|jcKOu-NIWE{D@jXxY<|eOU
z8y5&{V)!%Yy<z*}r($FsS2w#Q$359d*ov?dUTCnR;A_lo<fl_mz|S)GKJ*V?q<ke_
zPaAXSf4RI_7WBWdS!n?MuWUAJDg9r^=j*3CExL_sncXk;zi#b)_W1$%{EO#Lp0;Lf
zsdVGKU;F>%&Woq*{hi&XH?jZg^=h#Hs}<z`E1QjU|F7e7Uox<ieR3HGP~9S32PnNy
zjIQb9iym-gnM}I|+-=Y4=8zjJ;M%b}c{LR{UE7bp7`QW%LrLDS4~)r0Jny;goXb>W
zgv?FuF<rd!@rhyiTC07gCINF9$))_<-*sH&F<i9GUw#<-|LHH<rGEEj=zpW!h|vFP
zxv`n<|Ml#DwgOZUKJzhojuNd;y2iO-IRh%&oiky-l*xq4!1H~wulafp3%)RI5X-ub
zKEy&)WS}_2i<YY;m7_U{?|{hZ`zVllAbvzkR>LKqiZY=_qlGF{3V}#W6y+C{%c5n=
zwCoG*TgSz+J0P@r4ne$VoR~KB?C$UX*2XoqL0SApV><s|j`9DMX7wIvr2Bt;^Ur=1
z@n6yIlv?Y<{|%V=$o$tf8_g8|uLb}A8F}jYW*_i9X{)L?Md!P#sNOPA0JV04YorKt
z7ZrQnz_F<kv90w77XEl*dcJFRhKP@`+$#@LUxw7AQqeqscaRD5ecFXZXj&dQfV$5O
z-3Q9x95199#NveH4vjN=eAscUu6NOgf8)cR=0gJ1JDE)KESKpKgLl14j$Nm(=xjag
zg8`_W=G;xt;1bO>$cf53I~`O-v2HNMw+<iyJ@J_4Qw|W29SUHjT+UTUksNB)pr_>z
zKbo+T6c!xUpn8vwDa+7R1{OzVc6SS`(7T=i5VNeb!3mB4HUkp9ZNdm@*g*?Peo4%P
zMm2b|6ahS=YxqOghE;?AU~mAg&bKgitZjf%w=~ZqM~s6%0%%OVhX80)t4ZFOevblk
z>{yob4u{FGs8ZS6Vs#vLsoK3`jM+1!n7+{;>zZXv#?OYfPKN^@OOtRG%{}pyEbvGf
z1uvQp+V?dWIz$PRv0TTI;TC1coN<rV{;j5;p29#Ilkv~RPq_kPu)vGS_)EF?<x0J5
z>&HV|8G@k)iz=68qER+4GEc;G(jCgDkbJ@Z1(OI9SRkk|h6&`W3#ZN*`hy|OhfhZ@
zALsH%<d`>EQtGA4kGzCQKor1sINxgR*jfxNS-CKc5!<2oaG#*EoD^5_!TP#TTP|yB
zUggolYPLWIOx=wqLLEL}9E|(q8L)vb@DKveF04MeTFZREe_F(IjK6%f^L+2%Yw}m*
z<xcBhZ<l;R_ID3HYaOs3?N|Hz1qv$w#(@ps0@k%yT-k`&9fS!cly7GWCZG8hG!K}p
z0FA<`!u<^U3-GpP4PkkgPD%yR04o2Sp4Vu)Kh!M1-kzbkz>3ovkjaNiKn{F}2|*{=
z@+2$j1T0VN1*<e?cM5zRLd&IcL$(T>KGisQWF@Uq9Y+q@rc{TkH{>(YF8P2e4&@Ei
zrQmacZv+JNkp%Qpeo~74nMPEJ*zk0pe0pkJymMUW85eFmzsolhYCJN0xM7UMrp<|&
zCh?CLJUxfQSHMB6(7)wMK2OF_#Pgkjd2Bm=jvq4u1p=`v$7>7MowYkz`V-GL@e42@
zC;~@83QDAq!pc3c`fmrWqXQH00K0=Y8%sG(r~@Mg3L%U@iMC5vEATt6a|{@#ujOP9
zJ$%$*=(foy==T{ea<W0ZGuO{`P3;6KR*sub;dLCWQ~o|L`!&f>Oeu*B-RZ#lSQiX{
zuY!8iY^<SYuU^7y=pY{;TrOAvJ>c8gI@erQN!KYM5foi|hj<!~!8@kim51I)5+PM>
zB{cfFW7)8rJgRrgV>7PvE|S6?VOFpJ-(B>GlGcPUKnr~oxfwuwz<AR^PO%hZ=OvJQ
ziP8TIJoYLyhT&eY43gGjL&^Y$hFE42?WrRy+oHp~P5-e3T!!2Dmmfn9@hBGlijhMa
zNw+bMhtAr~GQNioe~^WjQ5Pp9)6_}kCgeZeT&d`{i2PTt)v8hXuUt#d|JEh{DbmfJ
zv`@Jz|Bw6LHAj+NmV7Sf8iX)M4A*sBk&1^5^hc7-OldLZluH<^<2OYu{>1=9-JXUL
z85-XJVLzEJAkyqnF8PSo0myiuXOAdD6iA6biDc=BEFDwh5~L3Ne>|I(n2$>7ny!Ns
zMMcQc>evR|WWBUCi@vv=RyR}H-CKxr5IFtitLM+-Z<X=63=hGvY>1MX$0TQZC3^@I
zhzZ()C19Wg90d}l2ZGihsRlyc@i0Sae|H~$=Ry=IpFqt+#5alba_W~r<vG038izL0
z*_@gjBG9210a@k^aOx~FDZPa^8RT3LXtN)#=5-Y<abTX|CEG5nLuhV=9YWg8`(qjQ
z35f37<Ww1NHjU~$GIOn*Nlm<rv$s$zcPeKB+j{-leDj76_U>N5kj<d=uM5O{Q;6kM
za?whI9Be|j+5ZrCHsMnqg1!?#|6PTG_RC5xR7ZZvu038)*Mj8l%8*w2WjUv8wZ)sA
z-muJ~aKSJ}+wf<Ran%+Z*no|TZml_dZIr{y1Q0DVSv&9lYy}CDSfGLkz}QiqRe)69
zTK=Y>1kEI_0ftW&#gMuwm}4P$=%#|-ME|1fGcPttEtD?B|98=bqUaXAv(=pf&Efx>
z)pC^oZ-7*g^8f2T|JjRLa<`cQ_gc<;7M3)U4~M2%p@$BHsDTh^eKW4Uw}(J#7q4>g
z^8ugds6!a75w$={P3M|x;@}k_ng5ImzKhkn=xNWaIucKK0-LymQywl&?c>(;xMDm#
zVEKR!Sc26-R(HS>RGJ>Lz`#<D%Jt6FlNM#%7d&lQ$B7HdXz^2w0r@GZ3IPcl$Yl@S
zIfP!m0=mKtF&x)J?C%<9LlekuDJzaU#4(P7h=QY>QX5Th8F=ClC-EpnykxM8Gn!Fi
zUilWg^-UH21_u?%=SL%&VTsct1?&ju(+`%W9WBj0T$*>h6q4%Hp&7ka>Zood)KFL^
zL)Uc>^k+NI+fQY(konj^r>9)$Dc5a0<w`#b%m3!_@v4nL=gI%IO4R<d-fX7#|JN@6
zKT&RCgAfuj2W?x<!0_&ZCZHSc#Wbr?Pj={iQUWa1`BXo!q<&zj(Or$|;7U!-*D748
z`ecQJym6N*98!ftOyM9`$0`*LveH!HfC>i~j*zk;81oNC*$^P1S$3l^Qg0R8(ZO3t
z5cUwsxy|l~8%Io46?lG^ogODE0+N&fGZg@{gnxFviW5#{S7VSHv4vkCfa(o;!i=4o
zcJj?$2B+Ux(`)k$lefEp`e5o{ysjwczHi9F#j0vCc}OfpM1&*NB&3>zRFkl7`JZ`P
z@K&k<m@WTTs+C4m{%_PP)l~jpll;GrybNcL7)xg>R<*mh_mG_sqTFRogK0CDwhXq1
z{f<GUm_RfKdS`)f%KgbLZ9qJV_EL6H-f5e8!;Kr_a?Ud^N*%GIui%+E5>XPA1F|4-
zU*-aCM`R2b+x!vN2ng11h4#&a>>ZOM)i75;h3r4}TS(A6*AWx;fRQ*FaYO5{WXBoe
z5*tr3?2=LCNJeE+DMQWkhxw|h9O^t<;v}Qu8M(UV3HpTCCiNMaN~IFxmXLiNJ)pE~
zTi#I;jFhEyV4RT=ZO;^_vx;$KP#Hh1kJTk@T9|2f_gg?+cu`v<C)dVSUlM3jygDXV
zquLR~s@j`ke3M+&{#1x&_=}tZm7;8jRrh2W-G-<i&`B=43*6V%p-sh#j^-I#TTI>?
zJwU!J&$BW2rXV~R(q1!r7`Q8?fD{s5WW{<6US{QQdTSsd9V-YioGM(5b#{h!SDsL+
zhO3fWRQ6JcRa7ij8EE(~6FFOy`-A;ZfSF`)C%4(2zkWh;#XBa~KuKa(QSLT50VD_L
zrEB5~*oJ}n^mdROHrhw;*VP=+6TZuyuz$Y8G)<*NNNAYoE~D#Nf|f2yO&6r65sJzM
z%@vZ>NR6wYt&u9PL|`LzU75;8>bo+jjl#EHddpkCJw#X4J1jtNqucHph^{zJ`cfPx
z?FPq5FBo}T8$m|2J@Z&g@ph7YBDB2RfNG}8U_6O-LaHRT-mp$(jGxM*;eDoz2NJVJ
zCg(hUen$oZkkt(&o>{DVAlVf|F^)<1jBkWnoXyhB8Aw5>;V*DO#2XkoWp=~~JUi$P
zCWv#Bu7Sk7V-OYyAqfJ`h!`ey)2~iEV_7{s1_>pjJ~?2g`lg2_7I*+=DFD#6p*;`U
zbHmIAW6p5fD)6vGdA73H+M%afm*hO?NG`y5sK;e1;ZQ=Xhqxk)(8v=J3K||6@beNu
zW$2yPD8lE<J?`;?-FuTHB9S}@(tuVVw4<*p{AOR6I^<s?Oa)TkY7{~inRto<7?-XI
zsz?_H61tg>ygKoQ9YIKayvL1$^${N{6ooY1;K4AmM5N=vlBgtl=D{!KDX-HTd3Rj@
zze*R7bL{^rm1;9;|5x8k{XgC!{Xcd2c16WMHTE)H4@1w4Lg8`3jG}HVps0^H_?V@!
zh#42H!XziKpW#Sc7|rAZ>kxEQzOd$dL9MqWS<C7vL6kXIVge3rCi*058i&4Vd0SgO
zL+e6QQO6W1roYShf5onU7s3CHYBT2lw_H!}f3FMwhm5%s&9|vFI7Of&P%n7bW7Iv%
zusGy_^mdvQ2ewX=@jm+j^7@h0KjQtkoDDKJLsxLMcNzDx3;K5jXjSUkBKwX9wDp_`
zt0#ug^uL^Ql%iHbO+xoV#oL&~k7JPUfTFI`9qMMsv`qg(u{9TZMXHX$pm_!IxKxNl
z&TEy(&r2kS0rV&p{&>emcxjb%7`eND3G2rcj@_O%=xZ2;?{l2@)ExN^nj=@sOWPw8
zrp>ueZ;w!X!pBC3wa_t8$Ba8yQyEvW>sdj*oC0ifteWNChh~d`i93G|6#Pn>RH_GQ
zOmQDPM~bw?>lK*{bIlg#NEb5{#%ZBu;ITJ+v{9iG=vRIu6fF2wDp)+jFJS^p<@%BU
zhcb6y?Dz8*9Fps@p2QBd!~^dG{!@(`70|YoheRvOxE-ZXBen7o3raE6<`lMnnmAww
zrn}KQ%9K%OuH!;wx%Dd=rAO)vT^Ht=DGn@2&Og#R;)Nv0Ft+HlcU-^3qgTc<<O?KT
zD)HuV`2KO&?^O7=_%#tVk3y68K#r~*PPf&WpKT#4W>zh|^dw*NWERbv7~8OwbfT?q
zYUg`<<i9~tcia_Af%ESF)|;DA{U3$|P36Be-~Sax0sGu2U^g%dSbq$dE8YU05qo-S
zz!(?ZD!m;K-dE>fLI2X5znAe07L4Bt-GWW8bU~kB(<?~4pDRp)(!06o-Q4iqT(&Y+
z9BqZ$p{Dn8ACrO3EOCXH&Byzegj>1R`?wtGD2~4{rG3U=^IQ*az=pkQE#VGq8HZrh
zQx&&#psmKUL;CB=8$K*ocOB-rQBP+JIt;sxNHj?UrihAje1Oe)oghlSQLZWDc;iU4
z+Gh*giJpJ$IpUK|T~W%a@?0_B!JMNvzBDvXdeu0+Y8;pU8TYl$_^;*4W;rJRSJU|4
z>yrOJ)htu<48f;}B@pIeWWbl~+x?y0zu5WgX_iLC1}4<+0qv&<2TB@Si1dKFNq%S8
z-3*=!q&mD?y8l<}`F}C}UpeOgzqVOP<A1GP|My~O`6e^+n6CKC$*=%a2e=blmEy_y
z+o>K5Zg??eACCeM-1CfI`jT;^HFw;ayvI=k*jUg>i}g5F6<$VFIBP^#s61SznFZB}
z%T$@DU`&Gzr254~{o+dE3`F&dX`BI}UW|koSSGr_x<WZe-Tx=*-e$VtU$F`aXg<~_
zDnW`GD3I_;(G-!7m3OMSMZ5_cN>&0B39^yo3GX<jf{LoN^jutTrCcTk*thX-s>(`L
zS*a>3{j5a(_in)cr&6oM^ncAtD*vzD{zq|Ga;I&7k{z#1xBGcJ_TF2YAKJH6h`*G*
z4;{Nz+WI6`xTu{^V&Oy)yq((kq%wG-4BoyD8=rP+<0FJ{FJj}<{%~x3+A$lSYY*<1
zhW1-aXunjkkSZ2Z#lm|o|0CPeHhizh8J`s@0OrX5)pDg0mH#V^)c^mw<bRxP@>1iz
zb9QvCYxFOu%Lf#d(VOQJ2Za-Ox$inBRCGY`Kypov3s{o0pa%Pdy8f&;0gLk@15pIH
z`GI$#_Z-VPxxgos3178$xM&)e5~(=V0f}Uen8>+$>Tdy?B4@x5oBjoH8AMT$>E*MX
z-B-^i<G_2tv8E3#D9|^UpFIv72R&B)v)0a&wpyNNB=Dy@47@D_MYwPQATseEWuK&S
zK<ymBrn+ICqj*0YAQPET8Hg;huA~mYAXA-!kP5Jc1gV%wL7|=uJ3!caXx!oYrf!J{
zi7`&qXL2)Sq&|vSKf+)nz`g(KaU$Gw_8r@hOlJ%ZRg{f-gpg~uCAz!o0Gnr8)EflI
za3$dm0`K&DUZ1xvMyJRZt8au>D_x(qiG2jF&*$r~?dYgiLLFGg=xOIBUF9C%D$J$C
zVb?Lom2#=FS*<oV9&J9XFt67w?%)Dyq&*%OE_K=nlDpLI%-V<r=0<bq0x%ccZFsbR
z39D!y8TJDCh355O75L~b<4I|^6qZ;J;b){wo>J=%oc>#;4Vz)dIx#w~R_qo5rNh4P
zSHT9%^Z!?^Hlp!=n$=YQzb^WZ%JU~f>9vQujb2(8&)oc+PV*J?#00eKan&^9t)tT;
z)Q{sorY|kc@!VUAsA<|4eXgCEqLT?NY2wN3(v}%>+fJ*SDLsKshtvb7T;Fm*{l78*
zn1EAeLXZstB?wMjjJ84G#3wEgoyDBSmP-xtF^tZ~BzH<aAr&DyK?ARW-+^I*7IN@Z
zAgCtb?lJN-6yF)o2kbzQkG=Bg&*+=DNM^XI09pFd&}mK~Iera^XH(o&j0)sJ^-KW*
zr{#tGQ20!w9HEQ&3stRfK_d`W)Fj(MrCZ#6M98ywik5F0{|`+2yyzUSh7QcT|Iw^R
z?Y}oGo9X?Jb>jaQ4shMYeFLzXhwj<WL5eU0rd}Cw=*oaG0Y*pCpwxf!q+lO<|D+!w
z2i>@jdtZmK@{pmI_F5ozRbk@<xDiuSOc@mE#$D(HK_AwL45#e>b3<Ph_cwq4*DJC3
zkG0M8{>QrZKRbFxmtERrxA&Bw6)``~FA{gJ0DxhDg?8|Hs7S&thB}judoZ%|h-$X!
zEi}2KM;|KNF@68{R)zrP?f*u6|2I<qziZq7pKI1}aRo?V$|j$O8?F}#^pdcEO2*|$
zY9NJ4$~+1m=PH6(=xFrK9Tr>U{<o!xLs5pNgCSc55}3FDH|x>+-_2$t-T&*_|2xWb
zUvkq2=hcZ3A(Q-3Pel)Qs0NflShyWLABZB2#E?=`a7VDfF(6L@wou0*gf(RE81{fJ
z8#c&Ao=N@F_6;qRr5KDxhOpjf*b&qS4f{Ez^fxuc9{|47H*Jxpi7KL8G-oxR|0Y)>
z8w7qt5LnQ{hFaHxI4NoWcl4reu8#emfBxHy#(!y4%PIfAuKoWQgOl#c;G{`=>XK+7
zWap9`D>lgzx0FzYD9+0Tk@y5gQ44{D-SLte4D4(%lSVzwn?}e}{deV1V<NQ@sZcq$
z<_OBbgJ<d%{2hEvjJAd96M?>tnITYVUUa%3jPcwE#-X^y^h|PQXuIpcnvZvP_d?h*
zZp{>l&c@#-y`vMC^y0g6Vrqq9<fu)W=9SnS<)Xo9qB+&)*V3CZ+CjsL($OnQxQaJ2
zoEy&!Q%<e<b23O;y#H)Dq5<LVKK>L8CM>jVrDw3h;IX0_Z?TYVfni=0_m_6}o>A)y
zQRQ6AvLK7{TD%f~hNc0!yUk*_r3(7@SpE;wf4TzJbp8wEKg$0%Hft&Uzajd+Pw65f
zi<hMPH$y?s71FMSN&7WYKZ?;q1TdLaDdbAU;GB#MY(V1ziKEeY6~q7-#!n<cxF*b-
zy#KY83IOx?|7v{y*XpVN_Z!;()T@&ag;RN8P1uZ8s%qZCjlM_n!p@Qc!%T@`y2vm^
zW`K!HzI&w%{auqPb`}sT<fRmKiEW1-Q^_Oc{{{VDr2sHD{&OX2|I;it8!7$29rXXM
z$OB7L(3_DLc9swrrqQZIa<zz5K_!add{Y%Ln4hY!_p8ugeoS&ae?E3GG{wyC6aEL;
zkKO576aH^jW9Pq>a(e%7UHG5zaUZ6f7x%%#E^SK}IHGDm=ZW?1&XS*|lN?r9^nuH1
zVd+g3?Pd#d+<&ofWW08fPKW}_Np<rCyP2{bl@1u)<2U#DP4#e<oDO>3u)M`%xl%47
z=?#@R0`C&h%kVHO{3d+XGsLeJ|1r=!-zeuoa?Quoos00w@ln_*2dCTgI{o^oXcGP(
ztoQsM@PEwyuUbv@f9t~k`_d&@N&^yU!26|u+h6&C{hd;mDKsV3aZSbl>plN%#P0uY
zHd6i14dDNM6)#>A@iXL^jPVn_OwLiwIBQbP>?a)MG8dc_y|Hc~&T(9yzsRsn{noN5
z!lOAhNL3^cX|ijaQ-7X3XB5fkDys<ZRcrw@TsLA!+W+5`SIGP=u>Ut3QT=bd(Ma!q
zu515)SH2@G-Yv5i|7CdzHcGsms;fOyb+zb>4^6-`(c+9{l8=h!Hc6UY0C^<t|H^vz
ze<LRU!TwL_|JwF{<&yh<ZK9SPYvTGgbtSZ^75QfBo*f9D{w|(`$o<d#f<Avy?3%}G
z-T&1_wHe$0^>qKQYyUqnkA*ii+^{X??>E8m|7CDQhx$@ZLJ|AiL%$oe=UL7`c%0+G
z#~iEcUG(7}{D!I~lTxJe8O#UQ#hBk2T{5^-Yu}6yp@DFtgJ~X)js{1Hvt+dhb3#mZ
zd+?+qR}(oxu!en`Ya^(RNUcM~bo*?NqF3}O_)YF&%#-Bj$UF|=H|%ACUMCt~UDfy`
zq_O@nG>JZ@2jpj@B76n`I(ch$N7yW|e-_j2bnKjPk2J^^NR_cFgSTA<A70bv<?^qq
zZ)81k!l_&}$c>n*@dCFE*k(24L-`lY%f^3!%;<GJhr~mAcw#RDCrK)(uTAQxNj~y!
zy{;69`Q{BtcvGcsB2_8XBv&!LIPDlOA3mKBGZ(2bnBi<OTbPzN)D9b&NuXBCsbi35
zbIL(U$P~*kA?RdESwZT|zubvUu#&{r8cmr*=(g&#Sr*@xKMM)-r@U5oglK77{JNvI
z5DE03|0-JjwVeM~YUP;yceC6~&;Qq^|Kn7JT2}Rg=q^`u0ke|eFR!hBF8@Z-tHc;E
z4B*N53+9DAh)84gkD__Mnv7X&5q^5Z0ssNp`|9nuGAW?vR^OvfgUN*Cqs2#)F%66o
zD*g4MrO!2&;<w58OYYh@Ao@5)eFd^u%QH)=F&gZ-bpdsSnxsR<h1$1y$Quk5^qmoX
zJ5YTHEBs3&+v#L{gaHo*=m9Y{H)oUab7|N|{VxkGknEKbV+Vw|p$=;;221xCTEPg6
zr$?lVps-;&h96xg=FGW2gcV`H;tteD^M*piVVI0}6GHyXEsm~rf-0!<m9QfdUPmmR
zP~eGq2_Q!^pbRD|sCt3rqjq3)wH_?DZfT>i4#gR3*Ely>gUe6eTOAfYU?{*uI6~sL
z)HkkX7Sy2%wHP0?SiO22sDwP1Sb*r;@vU?Gwo4aa*z=zm_Wak4d*+K&=Jp)E6@oZx
zi-Ur}deqogRASMMflrUdr^;;6YLJO3PsV$qbkcjZnT0E+bLRnKdP*&_#9${z7n_Xt
z7s6MCU>1GUe49WqXz;Wn_|F@}pP_Abl++~_%q-}ZrwY9D`=&eL(llybG-zI|*dSW$
zY^b?Zz@A&w#gPn3_J@{lB1M@UqmPE$Z52g3xG=Qtx4^c+gG|oHX&mF(k<NwG8w=09
z%Js);QHMGJbE&#PW(Zen+FfH53)#jr2t2|}B8#(fCBeRYACFsgnJ`pVKWy=KpR#co
z7GtNZ*m0Z~{w_w^;Z4!3G#r~}_$;<v=K^4c^a~~06Gbqu3#5X==t!xKz9@0u%|V@C
zVHT9vMzjz<U0^&S&Ye+9KM_7?lvm!oW|`$nwf+2S+PqQ_vx<@#Aw8>!uZy(EePS2L
zX@Lw1<g7qwSZHL>gc^iGVDl%BwQ?#SscvL|kEcB5beAenDE}iIQB!sczRU;p04@0k
z!Uy$zz|WK&$KUs<Gb8-jAM&0eZ^VZIUI+LLGs&P=!H{FTH8y4n_M*YS&=*@S6yQsE
zz?NaHup0jGy1E5JLjS0-soq3t9!;rwq}EOAmGQSkmb}`wLYsql;1c{G@OKc{8;{&X
z$fPM$ehO?#4qjd*$h44fL7Ss~$#bW9Is5@~Ma>4Ky(}Pl&k02(6OFMwD5H>Js@R10
z1O7U&V53XeI2NiVWtW8zGt&^3*%~p9*{T!;XbM}~oSZ2Ogr<ni_)S$<gHi3EjoTt(
z6``tScx~b_v=AZ)24F=*iLwe`+1_H>U?t)kj%yI|4Mv#3#7BLb|6tIZD$d^-0to58
zWE468MAEFx^mz74IJxjls_pRL^;r0^2%Z*+6Mw3BsK=O=!pMy^t0$IG<I3}ef~-L?
zA)>ArTFC+==7?#8k@JWK2n<Eqiz?gH$anD>hYchu#QNH2qDGJP44eC=D(aHGWs6o+
z!6pr}h9^wC8N}X%RFtAiTn{-=A17>-x)BaStT(RmM%8=}E0GUEAv1Gi=*c7dITFT<
z62ANl-RFHqMU^;rloS_c$FpO^SUhmj93smiz`$1+yOgR`CL#Vmqx#jvEEkwXRv!$y
zLXNlPPXR}yuL^ilr6IMneUGYW`!W~Z2L;8>LLO)+n}wlFiD`hQLM6vRLjld?Lm}uU
zet>pv!=FO%HcU2WZtw`@+zvg?+z*LpF;c-ORD&puGvURA>L{oxW!p|lO#&cXXv!No
z8!8>#4n2kjGlX5HqGX(>WC}-@JyN-C`mdlMpfcZMWi>Ih83UrW9VJMNl5xY|0Eh@J
znuqHUbugqQ$Au*gl%xpGj-F;bn17=2VD72LgS&mQk$#ps|ADQ;95)x?7l!_zi+d#}
zKy&RstI_z6%~~z>|GTd9A60e7mH>-Jr|6BZ=n*_I>PJj1ty)Z+C7X0a0+V>tG{L21
zf`_R6pQ165n<J#FN>H5ya#+~!__Rxmz-Yv+%g#XJ9Kjb25fqL|;(9~VdyK0ASzBde
zFM*)t{`Y)0u>2`vauIh1Vgf`6SHT1G?7y0uwebG0qEoPR|F3EPhwP+;RhD7})~1pQ
zzqHH@rC=lVI>+PviBMDSYL-5<@Z7{(*y>7#ywqc72Xc#cVI7*5N1hx0l&pvg*fH!R
zxB?x55@e8Va%dUH{^2-sQhP{`YRRE%p7i{~3D>=L3<fy1f*NO!pI&?N#2RXs3SBuC
zB4t~?!ZvgAsbid&_E>XW?P4<4b(y~+e*8Gdsu-fd?wh<Fe@%k!0KkVcvMT-ldJ?Z&
z!W+t|)Gl)xc9(-IljuO@Nl6LDN@xJ7^W;;AIc9gJM^4Oh!v+B|acrj<<i&@2Zm+%>
z7b}y62e=f`!Y@hkxImIf_o6#UlEZ|Rt(M>mIN91DSi+^N24kGD8)t;_2tskG)6Y@I
z6sj5`IecAsemBu?j;e<Xk=C%tm-so2lUN!7QAk{lb*{uSWEH+vDnvE(^hZ@cEt3@+
zy1DgL=GS(84tExz|5ud+=FtCIv)qW%|5~+~(*N5_|5fx!x!qMU0tq6)6h0uq@Zm<;
zfcTJHmLE8z`wb`((5&iYHgmvCVisf%MCLgRLcAv{<rKnKfD#zGc}&3!h6`W0c)YHi
zO!#mo4FTl^1c(dF;1%lSb-e2tu92{LSh)%I*-zx66n$(d<+hT!EvYR};<u(EtZ8b9
ztFv8KR9@T|-!~2U-UhZWu2YE~icHh5%z2;0944IlDu)cQ!*-#di9<wBk)q*U#To9c
zP^wSi{{}@s%th~PE&AWM|EFd>jsLVh{*NEu3)WAOL@$ew@pvlvP9ATI85_pT1ym%a
z)WHi&%ZZrDTO9JmkPkgsOY{YTb_8K`qa3z{Kky>qhA@I3_)|p(Ac}|y?}{|bjeAm^
zvj6Gc?|}HXmi^zX#m;{=E9w4U)BfKHtZDi7ysXwMVaK+E9Xpph316Tk18eA!idxd1
zR#Ls162T3D<?uon0sD}2u0w6C!iuM9_~0}-Il)ac#R~X`qL9GMFh}hSsXu0F$a#(E
zVb=a%)gkbF|L@WJ|C_aHy8qX;|K%n{6^ACb39f!FC9LWsc&4DXB1sHn)`1IR&Vmxr
zRGf1yIOKA2%;^-&A&hnmKd@@1L16uW)sP0&SJY>R85Lnmj1^b7<$Y=$bf@iq!ua3g
z65vWMfX~DK)oLvMN41jre_5OSr^sSgm;ILT$r8UNl|U;-S0WaRQ;Lu>D|ti~RA@~T
zDyg-5%=^kz|LAf6;@Dq~@yG09ixe^e`QsfIS)JZ<tg30B=adF8Ef;DqQK1!AYsHM1
z<h7F6<(g4GAIhsf1;5icBDV(rcZR0b-MFSUn2*oKRQVr&bNo*OKLJH3qyNuFivQO;
z{~YI)+-_&p^FK@f1B)Xv|MhA)J^x?J=THCkH`$M0``iE1IXXJ(9BEqjsPpTUzxl)e
z{MUc;gU`#=e_tN_s`)?v<KO+S|Is14_p<-x|Ni#9-hVRw>t>2O-=qDHSGleW{V#+6
zIsad2ZdOzLzwY_BHLvpMVHME7w(|L(W&c&F)dT!rhjd72rtx3a@@YN!s+Rc*neJb^
z_r34^%DrFvKBj*E)xopk!+ZC>_p9*mEBC&4?+5VzH~9L1tiOwo@ck|Lmf-sj;rsjW
z{S){;fNuf5{}jGC_<juEKY;H)hwnduFVdSohVKvI`$xR|pYVJ?LW;!e`o}yS>nXzb
z4|&>;cpBFE+x&}d{usW5*ZDi}{b#uH`2Qbr7_q)AZ~xB}_<xJP`!O$@<7KcPKjmp3
zarplM&-+83|BraP5BdL(d0!FMJnxIc;rJb1=6Ct;-{S8H?-RoHd%PXO%j9_ef5hAU
zBcA?1fgj(0&fCE{di+1O@koKC$jc9S`oDqi8GOHkFRtz;e7}J2bNK!Yu>*YT@crNL
z{c}F%|B}Nb<_GJ2%KP<8o`0XG|0Vzag2Vh7@7pu@{zQQv;oODqV_yDK{vONj@baJV
zI(~z{&+tAXoHaiF72fXe@%hd3_3|ly{vLccc^!Yq$G*nf_+t)NMp+Zj_<Z6T!!7W0
zzH6TF@e}a>Cfz^m8ON!?$L78=f4|AwyvNh;@%(lEp78%a<YV;fe9eB3zx#c@H*o!a
zpSSbd{Qd9nwf=z5Z-$rO;=jMopVc+AtH6(KZu5TO82$@BCb$;<18={|-~E8U!+r2~
z@cnl@-+zPe2oWWpFKpLf^Y|;cR{k}gg9E;&{*=$%AMo{eh{%|i|6M+3|BBDS=e)14
zcw1P<zg6J>Gro2Z{=a~4o9Aos?_cn>UFCg$%Gc8YuM?m5`2WxN*oZn`au~kmWB%v7
z+@JHZk9hsB`51o5=N#8#m&5c0U(e5Z{yhd`2)%xvUS{W$`5OY~{^hHk=X(cV^T%I*
z`D|zR)pPmuS!?G>TV&neJ!rq$-xn|8@w3)}%(~M$*xOa!?Z0{)1%Ub#;sA)m3~~mg
zW4uNk$^HY^c~=rJ<3#-GU&Eij|NFoH@9^*c@o)OM8~mSXd;V?W|2J#Rl>cA%{O|4^
z>>TWU@$x$6f9Czq=>3mMt-P7)f7bH3Fqm0OwOp-b*ip}0-xyKnRat((Qy_aK^79he
zDP=Q*(-VBvhh_6%U(-*u6C>lBzGcYN1ANM$sWYC2h}19HGjBqA9~wZi!%sDsZTdFJ
z#*dn~7jk|)vn?Ux>8=CqZ$ph)s6JaDS=}}0zd<j{&2EjpW}=^)tXullIQ7s;qos8|
zJ;CIX?(}(0@T<>!mFT%ITDyBsum~>FA_}U-`oqe@;=_8ioMopK`Hb!OwCmo$HEo}I
z@X5BwfQ<|hqwo>yL1-lMnW1ZieX?hJzCZA`Ha2!!J1<Ku^u&$+cS??Xvcap|rWL^~
zK>19^>;SOt1(t>1{>8wcgVXCC^k9HkqkP1-`43ED69zexq8C&D_MvM9s_U;UvNIT1
zCZzg~dVr_qLGPD%vZlEgP|>i9fnU&VqiJ_d7hRz+k0>-B4oOk7HS5ARb?GEivxspv
z<hMf5e~@XP(9Y21x{a%qI&|{%p5xGIePx?;u>A`(T6v-A+K?8&waiBxU8pGT@0G<4
zONEFyzB#NrkE^GYRnza*P$_`Feq|4a9n18307=)u!&oTOH9gO8eOm5KN#vD<5{6UB
zl;PIwJwxjnt{7Jy9r?f^y6KC!$gom*G3+VAA)}uTEJO1QbRe~r<-2LxihiNlL(Q7E
zocZixlO(&v2Z6oKD~kvJU2bVWZL~1S#urFZtFc8CdV=lGyM6QYzpvTX#{MnG|5Yo<
z|21lrl>b}v{6D5YOResj`9B)$Ej<6VN;UQWvzE_C<TJxIT+L@*{9I>rabnojEua(x
zcpGALO&?$M@KWtZWS`+|nhLaJh|H33hC^B#Y&Egl<94Ui${eDCV9Zw5By*@)rsf5Y
z6iJSs3YY64<Dh9_sE|4ekhyWHdY@EAoP450oXouPFzKaZbBAzfP9!724d5LBGxUJH
z8fO@A+(T)B$EQPfuv{uP3K$fqLjRU4d9+qJ)Z7y~3f?#~I~>KK4%B&UcP0ht_dA2|
zJ41gk^o6M{%LM@BC(=%+G|BL~DKs?JLddi#9#@xJL9zT$9smV~WeEL~xA<%k=_3Lm
zP98u>-t|nqhj&I73FV<g@leBeJd4Eb;Jt89JmsAnL771fV#(u9M1zQ;xmWyZCzKI!
z!X~n|Z-H|@h4C>a<DZM4fj>Z*4N_F^<RU|N(Pm(_lul8%n7J%lP1!u1f{7TW0cIIz
zZo|T7K+((f<IIe!#Z&m#Om6n*<TJ2<<WRDk{v8>D(WBQkyiz8Sxz=2RoT$jj=>VKI
z0zHr+s}n*>vXCz2GQC;Bwm|;yqe(`(83-!%_@HGXON-3zRUxC^=VqHsT;cW-VqC)*
z8za`&appduA!LfH_)zU^F3S(*fVmWcC-BT2zVtHC;xj<kEba}UX{&#Q#xvYEEXb`^
zKgYGx<gW<RFOyFQQ#-RCsE#f$H?iA<14-d|`FJ(`2YBobb+r2!IrqR_Z3|5k%VqRz
z3Of-|7+@J#+=v5-Q93CVNCQ}p=Tw5zK#rof<~?BU^&ZNV1}u(kQf`zVW+=dHAFl%F
z4B&f&n9~`%6VMo>Fxc9C^1=WCr0ZS1y$n@L<e<%b#vArg&SVd`iP^7n^x4kSU>CC7
z1x`i~s7DACEMXWF*p|*X^98JPmv&$pW(h21w@8MOl|$HPr{gDv<!i0>8IXUVaE0(Y
z^Z1yv2C;WZX=qNHls={Uw#-h+HWl&4nHgry6D)3HJdyEYeT4$tCV1QtERIO<{O+wZ
zZB_XHU~X0{1I*?Bt1<q6vzprf-(CK{iz|uUAylLQW$z0~Ae0o52KM>`*Ey#QCaqjv
zPQ7jkAOI?r0`80yKqrl~&|^}-k|SwTN{SmJ#U$@hv+9{68YGrU6bFK(HBTg1^Xi`=
z2AEMuMEHtay!UsT-B){(viKhwiy!PwvLY5=AtWCdn?H?>f3I15%JpE3ySsFSP38aP
z<gA(h->jBn{C{~f<^S(4{|_rEb_k&CeaZf-NfGux5^yoWzuff;0usDb5V!+^KzDkG
z&cukEmyi)I*Thuu;d0d_OBQmi&XX)|Y-7!kF_s#LJ1S!=)yGu)_~673xq(+Eegxzz
z6+h;lKHPor1Eza<(L>??uf_If0sg<%Xl_RM|7xw4#{apy{J+BWE8M=q<%gJyM0SF*
zCd{kjt`a?S3GQ9t+7VY%WLyw<_vNeS&o9HTTm4DEezzv$xK}w~#ybXOY67OjH3rh|
zH7JgtOvZbnU>hN`S!tvhP{?(<L*49{mg!$C$F<)u$8PoC@*wjtMC=E2P7WaldPxSK
z^LA=9)x~Xm;tcWit-+KVyN%pfwY)GpW_JK)lu(ZB&XI_Q4E#0=2}0Mh#(42#(}kTS
zHUN|YVIjQ5jsu@zgb-o(!5;#KL?lR_jVCY`gg>Y`8M8rICf5*x1&DbdlGp|E7&`o8
za$t76p6P0~2{@2m;mK7VJ*wqldG-gr@eU1PNRbR(?i_ZBw<aJ(^|S%-22j`MhyZSq
zL7SyJzEg}E;O5M2)c>+Uyb1g7THOA-lJb9dm;YnFLlrKN?@z%A%Ezby`1D8w>oo#r
z0H#{syJG&~;+Z`<_q>YjM?xjD4L=eJB<g0_YMN^VezS{zmLWKYEFoY=k}-HNEO*)*
zB<Mz}jQ!A*v24e#(%hR<lvEMBax?H-$>XCB=sRHtqVWIMVfwwG{YNFL|J`h)@jvb^
z{~xvd4jX+>vG;y4w0x84+NLl*IVDmF@IdjnMfqzN3{tc3J0%w|TVA?a_>Dfz9k(V|
zwGv;b+S#(hLRBP66APJ--{Q>_5;TIyIyq%n@-&3A7JwAaq>j~{7BOZmf>h}E(1eba
z*q(=kj@0&i%~wxvR_M5l?YYALw{J@SU*Amd|C0LuzPtRt7uEl_!}|aBH2wdSxJzr*
z{kK!y|J~C4za4v5)BA@jn4|L#XHMkM+l%S@Z*H;A()A|?=1$b})1kQAI)2)Pl-2&w
zSnc-8_51BqzkgG1UT(yl%U#j$FTwu{;|+#$RwxI|^ZyO3RD}PhCP69xe`oD~#1aBF
z!_f~e2F92tO}Ic1&L{<gPWXOkEEkg(Sn`&#XA$iye)FDEr^%#kerI^o%zi!So{9hh
zo<&b$RdUp@GGbGS#*|waT-F3`qy#c+W#iH2!*ad)s9J9}9@QrKxQFOzj-Y8USgQCW
z4n@e!^D{6Y(1`*-qFY1C|MZ1wS7FZz)A%+lImLfRVU}G7ltW0=J8MvOk&YB-m#HUe
zj~tsmUs%9h<iqBpuRP;;Xc5HaC_f-O4fSHETl$+E4qa<39HO6q>@n=1qxKEOefx%3
zFNtN8j3r*)ba;`CpiIjcI4-R5;R!IL{u0e@n4UMp1vbg3B<K)Ukz=2XUjQeI+^peF
zwq`_62Cfr*(2uA1rJs=8Vb3*=B}k5|n_cP=KEW+L2%YG(9@gD!-5FfaK*yx#SY5+?
zLxB|ZON1v*!|i_HABFzoE-o?Qf3-@$x$)ndwJ80sY^M6ZyG#H3Ox}sPfKXPLr19aj
zutJa;Ln46&a>!&TCg9m5(5>yF<|-4?Tm`zkLk0<LWFlTm)n2JoT2zC#8`qDa@@|?I
zkHf=n-v*KkJCF&UxzrdWC@zD7#C@5IIIhSTT<!%4NM14tG=<Q)$yn>cL_s<bcU8%j
zpbS)0K!Gx6AV%LSP1R#va*h@k+62ksiz=m9*N6Y9zF_qvV4nO}t<<CVf3uR>f4z_R
zUtM7e35X;!Dxj#0_oN(lMKVAeic<nWbbWp+IIJow5D|iApl9E6ih+XwB!hSZL#HZl
zp(<wwK>;zypx)kh@HQli*_9+Q7cz!P<ye)pu<OkpaU#hWMY5FHJ0^XQsX)j@C90*g
zNKXo&6%Segi8X+k&ea6Zi&P-k47$eI&<y3qxtxr5dm65Hl*?UcEAecCPP=kW$A(Z@
z3lq8ogHwv1M6z^5mJY0NCRyvS$Ku(v#C%lx)^y#l*xtN6U6+SliL(@^>sQ@%DPg~>
z^k0O3U%3IuT>4*b#_c~+{qG&5|9CdoHhixr*HWMX#&<&f%U??lAb4h^A0Nm|jib07
zUF#Zs8i}rrN=DR1J`sWJ_Fd-$$b?6aVW9%RQGoIQ143#0gu2?QH-or$1CbrW(Rmko
z&#|173w%Nv@~XX)NicJumIEEjNV0R_XQtH81=dW?h8p_oAT9$ynhLPc&D3^-I|w<}
z^q~bg`v#+m90(3#P>@D>RtxeR1pah~p&&N=lop_2lnD=ylL`P$$C!k=0ra~|yx{<K
zplU6jwGLz@NwA_)5r;;cvSQV$1qVAo4goEL5Td$Sx6sd=&yM6-h(rNoxG5E={a23@
zfud99*ao4RXJ8d#Z3$Bh&JgnT79)O_U3XD046=%r7@l1R7%tPI9vB{0^QFKA1NxKj
zygu)e7|$YKvAz*nvUHK!CXQI!$BEp^v>hFl_sB4GjGlIGQt&(u@T8QH=M$UNY7-AA
zDv;RX-esU7I(op#P~Ho6vb3U@H4p`06oxJUa3KtrBDpb=<vtz|6v!_$uLo<z$8(A&
zrQMQB{25kA>F_O}|J1hNIuyY3=zpaiwf}@)ss8u<lmFEfCTV{pkud=Kn0Pf|pVk|Q
z`lG-whl%+i!M<yrn7#*(^%+9`=x)pRm$V&4v7EJ_jvs)6mRQ(NF-~f(3A2TSMZpqB
zllMysXX|AGgHG2C<z8?ZFDa(eWge2!Gty~UAtR34iQ&4A3kmid-*N@C7tJgt=P$j(
zQo;U%p#Q5r{9WMuw^EDh|7(r({`Y%8|6`;-M)sE@`N0*6spOuM`sHaj6ucz%4*URm
zfWlQfvha-q^jCQqG#mgJwmiSO>9#bsRvo2Q%H=$_GqyYVOp5kD6#UN(%GZDXTiM)<
zo&PqPDgJ-&<iGF=lcXS)%m_l8C0|Vn<aNi7e6K1Dz7Hq9Hz^VF@k_<R#ZGV6CKp~}
z*QG4NdqMy4=Gcwc|JG{J^WS<kjsNf-(tl-zN#Y+)<CI@qYyMK)-VXfllNSsnUWqGU
zm&8+h;Hi`cdoc6ryb@d?PC`~YeJOdle*6#f=zAO2)CMB?%|>Gy{-?hs{;xF9|6`?E
zyGI%+{$KC><6lH#8#g`wwasQa|2H@PrPez2|FAfs^Ixx&YbpP?j*n$_T=XI#raqq$
zDQsorGZ}pKR__`5X)f?Wl2Xq18UN#tB4_3~6JLa+OX7uj@&C%r$o{XEYn6Js|JU)k
zf1i4#AyZ~NV`+ndb%EY^zQVI1bjI`S)l2v(M2wt?X_1d_jQoV;R#H~S%9Alo?;9S9
zX*n#Nrzz$!$^FO}nXotmw@7)B9}2q^H1?s+lavMmKT1ks+@q3wnGf=LriJRuZF10h
z^^~VFh$i%J_ZSb(gcT{KT>3Dsd(0|MJd10wcihL24CcyGRl_Of@rQyQQl<y#%01g4
zQ4zk?oa%L~S?Ph^yrXBQHJ^|v3VA}7*^OxnwWcl5oX8_k-_{l-clcARrGe)8Y*7|S
zR(jtE++Sqn!Wn0R4IrvBMgy46x4t_x)WxY;RxY#|w2qgH?2hP^ks{G^u^m*ZKWbFs
z8>>`%RB0q6SDUqJBsCv;&Xb>R<F3pkWe~sEHptIk`sq5qP3wGu3j$X%CQd>5S>bT4
z@to#%*j-3e)Miq?@5AH&x~PH_AssHo1<t+yRjoz%ze=r<>i=(y|BKCd$_3scE>JlV
zxG4&`9K~OhwVLLr?56pv%EQK^1V*Y-+1yM>E;pKwR?A<_S`&+oEwvO_Xdr1$brcfT
zTQa0mnTr@cNm-1$ME}j><Etrw=F<OWjQ&GfO8;++{zqm!CI7dH{09g9H%0yzB|572
zP;@P?dJpw1XJB}@L3IMJrs+z=Yt)%c(Xfcuw^gOG4hA8<B9~<lA_ynt4{j0tNBga7
zJ^!uMYt_j4Z?joR{lDB8{kJ=-rTDOa6H@Jjv_V1|0+qx@OlKH8!!KdThg`kN6U>vo
zrfY){;>oV5o#Y1W1=fvet})1spm($_;+s$>JPnl6-Wlc-Xb-7EfC7EpbvzIKY2;W1
zvb{X{=;M!Qts(wFsrQ0aT>8?G^hvb$2?^@WB#(w{NK_wgPi<!uZD#q(qjkbNtd!XV
zidr~r0&Fd6vR&sLjwW<So>SO5#pyIHq1xA#0;#;g%EchXURSqrv~)hmhHqqYxPno*
zypk)q9+sbmArj-(%ZZl^Ryv@bu33^f2@ixE3P3Qvx3%Tkj@wu1rj1we$j4-m#C-BW
zQ#OehvV_^VP}k-tvId}Yp{8xMS`Xu*cxSGk<Eu`smNB?`$F$`dxex_MN<ILLdhp8u
zLqbc4+}R7sc2j1foXd`~=&SzhEwI+G3FED4UI~Y-bd0Y5a)QGN@k1BD36+*&g4jC%
z^M#?=l2`0HB|XGTzC-(6U`<@?u_7>FxGG2waH9AiZnQfO)M!;Irix<Byuw!D$EC)$
zQMQz=H8a9NDo>Lbi=__Z!Uvf+6xYUo!-yBz_PH7(EN%(sA`{!p&txd=PBz3iQs&-f
zms`t}ryRfo<>@I2z)TG#(9rV_hRvMM{|$IBzsnl{&G-M;h}!?utLgp!8{_}f8BcXT
zw@CN1FM^ESZoSW}xH31c@p-sePg3P<Hj)l=s?|pQ1J>+B*4vU=9TknF8l5{!|F2^C
zu^9c|Y(&q0AT723zcKnxXS}bc<bR#y-|D~Rl$+`mL~u`9Ez99DRZ)=ffm`CFmcG}z
z-$vd;N-3OY0Vd;SO-rs~hYQIFz<OB>n3Vz!{aX2gbg?YQkeUHt0H6Q;n>5*8$r72$
zW+~YE5?t1N`tM!8{9j3s|I_oI8>9bTD*xY3`M-Tf<p1PYw4pGuH?9Y$RT51)>a}u`
m9-#KH@d4`r+E>y8c&Q#B{iL7tlYVaB=l=u3CZM1IJ^}!V)f86%

literal 19066
zcmV)8K*qlxiwFP!000001MPjwawA!GSdTQL2W-i*Wy_K!*>_OvDWDqw@n#jf*=iPx
z)x()876q_+x~EvpN+c3MHWQi2%mj;U2nvU{+IeG#z46N4*bxqIz4g+LaQFip{tri3
zKIc9%Z$9uK34&x*A_64x=6#&|I<I@~IUUVY_Mfaj-EHr*_6`pBUhaRi^iLT+&3YaG
zS2h}D`9FTD^>X#2O1)XD*DJM+I;6wD>c&T;{Lu<NBiB<L0L5{=QCGL7=9~Bao_-D#
z^+f4wo1{Y*LgrBS40w8CS)S`TicNZ!Lt0wj(Og%zOtRbSX{txs`VX3$`C4-@ag$U^
z<x;)$7$!5bJ@N*Y<9^xNBpCu98}e9YuCJeICfOp{y)(rmzfe@GL$>>hVOegrKr`}B
zPZ{dQ1?D`^T)nTD;n$93Xz)_aWtEYaEs(70X!M^w$mT;iwV|RLSdUZsUORC;fWuHa
zU-mJ%q*}vpy^t`}OpjLmvbD4K6iedjEW)=|tUszeDn6=L%h`NB^Hg(HN4GuN^{+Hj
za}-Z=iD{X(;wVGSb99w-{1H?wv!{18Q`LxW0vKnC;nJpayFCYn^k?Ky@3;fqQB1u+
zDvux6Hp%B*OW&-NOO<N5vi^AEQMq1yT&*`7k85A#X<3{WSh;3bak?-UUE&0Dq*_|9
zr>i>j$0a$O*gS!p#PSB3Lo_ynF3unu0^L*%Slecw3`d5i+c3ha<v5z5U>6I-)rLCs
z%+nP^ej!Q^ZO1y(=;-MtX%*emk>Y4wD93(~>17eBt_}b>I6N+vU!+q7e+Y(FS2JAF
z(>)KecP@xA%;ig&SFPupWZ-$WyScvJ*S*20gHygPErfNp;DbdVvP*eNyr^#R-0PVq
zqkc=XEyr^gY+zk?-4X1S=enwyE^MtAdxzvxfEY&k`QFa%etS2wYpNEG|0a2L_^kLS
z^IZAi;;G^(o5XWQTBc>4U-UItYliN6xuN2mbgg%|nGRd8c5yk{n%M<-S|s<y7O9mQ
zrE)&AH{?*lfO>AGJ?i&07oSf|-E#`W5%m-ZEMCtWD4u9&-|_&?jZ&>t$?R)d*WIy(
zw$3JQ6P9^~BaQARsRH&cmYc=OBT}txRyQ`QkDw1bpAn8OIXc)R@oi7|{wA+sCl?6p
zWB6ka-mtClxfoo_QT1-ga{B8DyAd|S3k5b6e6`t)d_DyWe3AL+gZ}VE%2(pev@wVN
zm&+SvpZ+)MO{D+TS|z3btN47oyWOJOxR%*@dGKv(@2j65lAphP{&crBYd?M9yXL*y
z|NGl7cH0NrJG-~B|LgUD|8D~05Bt9kXdvDHEBHL{8Cc3bIgA6SZj!DAl-?s+SNHJ6
z0JySDrd<Q>c3^dL$c+_n?U<dsoC=(->BV2z&Wz+xk~<m#V{#GCd!|}veyVnk%uVhI
zUA+F|Q_b*{R{K;=0_HN3OZs`RV>!}exM-Wd{4n<a?yuUVVfS|Ef1}*s`@g=?sMT@*
z*HZews{PMafGomiJ|WLhqV-5uJJSryrn21`6ZT7)Ot=g@KOhH+rw*{-3*7{<tZS(w
zEJQ^HibLFJxmr>=nv-}Ih@75>0;vn)N3>)$Tyj^G2{jrmRGCr;L}DT-zo=XmEnB8#
zUnt*O4wl^pq1Ckr;zg~mo6xiSzyDk7H`oSc@f(fl{C_#%|C?o`|J8aG=zk;K|ErsS
z_M?dZie{(OS{?pxz|2SRf1_F}r}%#*`2Qi<bv=Cu_@1<7)tjXA-H}vp87P2SJHa(l
z1iFKYJ=eBOszhunL)*X~Pj%OG^v($JF_wGfV(NZKP3kL}ZFmQnFyEJ5ScJOal0&Hb
zOjA9e3|4O;%^(&hBzL5pn&YF6Wpv$(A^aO34HOR&px()3l4rSemuS4}UD9)`p`^2Q
zu@4%ccA9f1L4!*aM<aciceXmHhhp7eif<J_0(#;y&8I&=Kz1mAm2x>(Aw_be81_KP
zAALMwB`GX8u0i!KA5)g0D-A4;%<S$KSfO_V4IpM&X@e6S0c-{&dQ*oHRIq~vlKhgG
z35BZfW+?)AMo05TjtQ#<|H0q@T%GS>>R8(VqiQIwOWraL{w+YGs{;f;p;}GyPWJ{B
zn4V=A);k;~&7ewUcazm|)TL_ojy7h`kfM9qaI7kZF&RG_nJOI)d@N1ESrn)5N?G8M
zG74@qAGGf&Fm#9#CS!jcM}}LJA#=t(TKo5kdU65-txd+i5I_AD7=r~~OvYdPi{D?V
zS8csFGNmCHxv;2mStc4~^CI&^Oefu;d<w}+_Ai)3n7{%-jWJ9hUtKtL*2uF*G#@^_
z-G7qHza>51WJ#)*E<dsllYl6I?Qp);+Of45TC)Da)Xv!s#fJw3mF1+kj1Sh=h1zmi
zQ*kSgA62sjVl#C&o(OgLfN?M$kY~UKzQ98WJi9Q4<a#ah0sp*+=NNzaYWw-#;kV?k
z$^LfhaBqivN)C1oziJ(_AMIBM2L%c%0LFn0-~!gQSX|nOm>q-(CX{by3MQZV7Bml-
ztN@L|s>1yY`wQ^4VvJyUm-?jwX#kafPS0x;)f*`WU~gAb9AL$14anp}B_Ibr!i1m`
zY<ZF;bpn<r_JUQKGdl&o4x!~zx#718oIce!xMV4<QXNMQ+NM;8t2g{-q+R|4syL)K
zRF{I!1-=mw(8oTYU-FYu?9Vi!O2mez`{c_L?c$x~K+m{v<9c1bnNZ`A;lmAMBsOhM
z%ruFA#Neqp9KHe$Vuk)KSMqr>h9a(K*?P~kyc|Df1PTOVSB}>ft~+aXvh*jOZ{inV
zKu`pZf)tcUA%&G&Gls{uW2wLdtYLQ$XJaYL3U%O|fkFr)P@?S;)(ZTNWAy;z43(VU
zLl+-a7`iQT9`ySZ7dcrc?y2MDy1LSbilyV`6L=j5>x940`~8|^D5ms@4BhF#`xqAt
zfNz3&<ZP^=XRr3*HFS^<5H1(2fFAH|Zk{O)tE6j{kO+z{y+b^W$KV~^?D~h^ND?7c
zZY4DOs%4n4oLs7R%VRT+^)8aa9${9n0N-8oh?3TXFhC1K6uB8de870qK~Aw0{LcG8
z@+C(9Gw|4}&=`h$!7})?78{ZVI5fn5CefZe!hTzHn78OZmVnD}3;*(C=n)>p!e23R
zNF(Vs#_>>DyIIEf@Zk@#@G|n^gk+jJ$=rtgr|L@;{T7k`>a|)mBLCHE<wh$1tw{cp
zq?<k8KIOXnKkj=+Klj;XpU>r7gAnG3<~WukQt^<1{z$T!DJ{mFatUL3{HCbIyRbpj
z9VjS~q45n6_WpDMk!Fu_$!}>LfQ)T5`<609ft2`JBuhtR>F5fVAXVW1<JpwNd{jzT
zR28HsDngc)$2O=s>!qm}^u1}dx|!0>-a?#%!0G$1o<EPjmB!~PJOszGAxftANKSW4
z<_IVd6SM_Oz(5H&3M5Qxg4Q6Z214F(F+=HK=Kz1_LKG>VK+QwMH;MFe>X$&}IlR#t
zM<&wQoSYmY(4iLrS>_FJ>MSxzy@fX!<XjMFeHgChbrsEUV4mS6+b*m_Xl{iaLfXyy
zV`yd{ME5OnB8@kjMtL5YxmHf6CSKa<F%-+4_%nfRy?(8~dBX>LXD?vLX3+ZA1){$x
z#BxfxXr)08HlbVWe~3Gq@F@>L-wB}qp+Z6XbtM<7BY(-RJy}iHg5)2{kXHJ2IVWwk
z#habpu%AWZf?<rd;LjrCsw_6J0UH<HT66f?D2JB`AiB(CZNLAs6(sn?0u@96#<uh<
z10?g-{%;CO&`jbQVEANF45{jZITnJ4s!RAy^e@Uj^J0_KLg`BUe-~{iicZlzUEV3s
z9R9yqEl2tPX0?&p|E&D{XD@2W-DU>dD>?I7Skg#79GYf@9y$=B212Cu-MISR9s<c-
zyw1VT2Yj9*4`H-M)B;I0ohgovgI9!P{xd50E>`cNr#-XkNIc;QY~m75dAKxnfLqh$
zit+S-<pVlk304PL-T_NcX?n;414}t7$32x#TBLDb@U&$WCoU+X#ZNJ8@;Rvr0SOz(
zWe?w3gkHV^y21@HEXPIc?`WqZ9msAeD~>zFF^+_Yf}@;L8%=N-c;XNz@hC;SWUz}f
zn)AfG{#)$UcUAZs98@HqADz<-mpDC=z>a`E{a|U@(bC+*rFq9oA*oItn)BCE9o5Z*
z8VZ-m&~+>X{n_^O_O72SWIi^~=_yxw%5@h{xzf+V^1t5eE!zlmp8Q{{MD0JDm0C5G
z|5q*lKb3A`gAfuj2W=act-1F>6VMI!Vw%;c>v!mVQUYA6^QnH|lKO#5jqY+(2iIzH
zzE<H{)h8<){2O<v!XZ^S#1szx>R6`2!LKw`IH1A-h9jhG2*&(_Q8olfXqMe5jMTAY
zJ8B<8g0P23&aHRPxpBl)Re|eu+39hzA|Oc#FjE0AOZaE!t2p6QcGc|MIa~Mz0;pc2
zC(PKXX(!+8WpMh9HNDo~FnPNhs1K$N#_Ni7?)!!;T&yY=^ACxA5fR}?H3_LEA=M<T
zTK;F=7Tl$(0A|bom1?CClmDB|dMf{~Nd7-SUWT(rjHNRrtJ)phd&o`*QSPdy!L*qx
zTLzn>VMn7<Ody&Ay)!^K<^JR@Z9se;?WNyE|4!S?8*bbXmvf$ZQR*!_`U;+zBM~V<
zIv@)Y5Byxf?TCy4W1D}=H3EY5TcUk4A$vXYRyNEPP$Bz|{T325&-IoGd%#G%J?Dnj
zVabj&#3eSKV%U8~l_MFMNu>-m&mZQirgEtBY>AVMif82N>V5PHu|?`LGL=dt#w{WH
zdcH<!*_MAtNib4|(t&YCMzlRspw3FhkwInrv_4jsZ_~m|ySv{5>cWfKB00G>w)&Dl
zo8r|mxf<DyAXe4h6yuxZst%??G{axy6sRO+L#(=|m(gvA`T?EfvOB<iZ629atmr7N
zwz<jVz4JBX%kn%Mb8ia5gXY_7W{(1Qr4*1t!i%g}kHO2V|C`<#NJz&DLJX%27h|2R
zk=gZ6C}qP{pIemnQixTQELRz5_%9PVTlDt_`yl}{$>2_Ivps+FgyfocOm2XZ#IB;;
zZ*l@i4$w<i#}}{-1NG_MAUSNb-@ad0b3{-0E_=%Uc^1<&l@=kPVWN8(UC$+G>7vwh
zL3$dYs9exoB3X^pxD47Fsq$I`Hd5EMscfXaYm?e2e5<9my!E?7bY;E60`xYz?QVeR
zisPiO#c|S3aGdmlk;j!0WJKFDkF_LkC&?#5mzNt*&2$xv=cApFDv7N(tWz4}UH@qK
zfGOjF#H^6XIg6j)5nBMVyn)0si)9ZayJ9HDG3lQ1t#FI8S-Lp`DF`+E1ulrVwx&{M
zN1VX3gYIC0I5+8NNX$DLVSx~mAmEIMrc*cl^29Ti)x~3wP%`S119obtyJ%v82VjN-
z0BsxEbD=#a%xo~`47aTW4@>mVRu)@3^i=DLoCh7r1sD(cxNIpLN{ICkSA-E7|3rj>
zhDQecyhKnLdgnEY@cD9&d;DPc-h2{~NFD@fKr0a1(bpAzvoA~?@~;u50;z8{3L%S3
zJVgPFOV<Qdq>BRyRnJFW_1#fN5K<5CapPcp%*P5vAw|`AFpMk_>3FatDv6$X@QZoU
z>-0w6J=gy)(*@)l`@c%1+Kl>t#Mi0*|IX<Dsmr%(D*malmkz^7T%f{oc$_e!sA>x+
z>LU(5W@#*9#zo68$qDRdI1(2|Gx@+e1Ra$xtodG0>+O@Q%jzjXlsUY_1RR-6^hwk-
zjy&CPH#Y~G(uJm?jww=1f1mOHl3o8Ug8v)UW<BQrsgmCRUKRci8FMF^Z&Pb<ia<%A
zUT|;5sC$-SamWMd-83l<Y@H_K1NH;t^|!|GE$_$GY>>Gbx`eCUtGJh4(7!7{D^u4N
zIj~%yt!GSF?Q25Qzdz?FMXrRJgzklkw=szy#~|MUMIEa<QuU5*=-!27YcBMPR2_ps
z^9tlisSt^r*D8@;lt>N(=us;C$+n5`(kkgNa(Dkete;Rgb_R+)R4@$R&vD*UbL4wy
zj$AEY+8&uOZO#LFdxYW>J~k?>g^q?gX56`o%(#kO&kFM86kwa4Y?k`~nk@z<?)*7W
z@JngFQawmxiu>R>Qlu?jFUe$>YqmH?x|pFbP75^ykG<iejS8JWzw%R|V8OS(g2mOm
z5+<-zt}h92D02tKem{S~A-O5*N$gNdJn%l?KiRlZ0&PorNVKwy+ffQNQY#;^pcF%`
zPhtC~i34U}x*NTtOc{0NIxbX}Tfd@FdZf<Kbzz>F;=q#6`A1quypRML#ulCSj_a3r
z^vYO<e1XJECEh#^-#-rfoeKXJzb2yQ^U&n2`J-!w(@lBiXIsdMnUzaldXjH=GK>0c
zjBVITI?>iQwe!6@@}FH)EoaG6;Jo|4_2x!Y|5vN0_kUM@|5q3V9B`w6oxmty^)X<s
zc?)<(?CGfiV;pp=bUe1-SLa|s|I(YkSMdxMjNcO7f=#b<L7!mLD@eSbD@=mYySeGz
z-0<C8wlbC+ZH3#RruTB65L;!IxI)b4<9$cMt=#B+T#j@k$6uJzK4q}Ej*B;7!(O#6
z;STIF4#B9WDsJgOTa9Oj^w*U)d|0mUI?Q#Vp3W9@7<LnpXp#m@5*6q80GsnVL6m$W
zT~o&K#*t{XPZzioJ^$Ks#3!4)qNG*jI%2+qIY)1NX=tAGs&RVNI4=J)?rW9tU*Vw~
zlmE+U{O?uC|6eMGuDF`uQ^XPo^DutEm+bMu_RcT2zuL{xsMx@SdIO;S6yZQgZ4;3m
za5u^CG_#w*bAeQccSraCay|bqrvEF){Qoy9%{2bk%JqLQMuw*|Bai8dznmWyfa(CZ
zgR4?JIe$0RgTW0irtITU0D^m-@k?KR9BIWFw<hm#)BrXXbkbryPF00hQ5DV_(IqMm
zFVoC|>cq=bnW$h)gAJtm#YFw$QsN9m^^0ko0ij-ugc!I?bb(cca*n$HPt?85bi==7
z6%x>VtWQ*e6g5yF;gh5(BA-a_WOIvn6DE|b1SS$>J;@VZFQ$Tus<hNxTyG^^CI;BI
z@NcThN>y2@Dl7dgMgDhh!TzUGtHtzxkd(^*tG54<9G2W`+n;2|E7R?Mj>qnMYx6_<
zmJ0D#viG55w@h1~#0nR+^GPh6D1x_B8=q7LPn5yiH(}$`PHlXI5bj27eA*w5jZZsf
z<8$M|{nF5WD+%qFDi%`3LaJDJ&*gt)d)k`k7CGayL<PVc`M+AORJi<KsWr<RDF4?}
z{|_sZ|8cg-zQTRyY^zFF8(vVC4=5_5H_xXQ3McULz_I#NbU^XI=b9`Buq0_g4Q8LZ
z{;W3vi}ND3C<5HP?Ovz@%dq+v_=GaytM)b*P2*A`6{k8Nk<1YjIag2pEnrjR6c}RN
zyC4pOC@M1TKil4U^?Wi8ychHob!0$+p~n2|ao{-UvGQNFwx71;@;oDfKiyH_Z6PSa
zg$n?YiT^13B$WedX8|@<HT?|5`;m=IWI|;iviNl+bpQsL>J)@jfGs3Q#Y_qc^<>lm
z!ZtwT4#(3~Lqtf7ajG7Zn;|3hQOx=g1|tFPgI7-y;ij{1nVQdZ#^8`e*{DYdf9<wJ
zcXupc^K^rHg8&(>B-}yZoqpFH^47)Z6!~KHw9sm$>(kV+kHGbLd>yte74=G}1M6r5
z<xHom+~r$^xs*8STKc$BE>$+F)#m!+jYk#c^}59!TtJPq$F}BBr;Q-F``VpZ8?nIL
zXpS5J=7PHoj~38j6&)bMULe0x+ySft58Y)vE$x)T5(^^yj4zX?)cOOb|AubDX4p3R
zTE|g}-6EiL*caY1*noNd|EkqSg#K@oQ~SS_(SKB)KOOmAd$`-^OY7p9o1c?uzJi|W
zfOcK3nnt|!_T(+<$MGN2mzL&u?kz>sH0_Ha*Un7Q$%K|PasBMREi>jetyVWvdJ3Hm
zsRvHDzU6}Ye`NqL0jJD_AQJ>i5S+LeZGymwPh226jX8}imm1^~7@bc@?u2|wDnfLE
z23`Zd1H%L@<lw15P))$yW8`TlzEhqL*nuD)d*#ue(Km6COmk!bvh=m4(wsta{1y^V
zr?{&)FOUn_GX)5oh8yxj;W3f&99_g;$ZCZP8iBAPCz%#1-Qw;eLY~c2w0zt6-`35u
zqSadt9hi6jqgk(p@qe{kuczm~tHl2=Ea19}2O3~C7u~a;ffS($OuaPX(Dehx1Q;Dj
zgH-?RlY#^2{nKHD9CYJ8?mZR8%0-6Wx7Px(s|p(@z>Sz9W6GdNH||0w2>P%>WH@F2
zpK0o{xWD=Pzh0?F_`hbewvq1t743g^^o%aMl&fy<DM2e@ew<$<?p^@^!vG8I;ImMX
zgk21ECLQ-+Wao3L*`~M9{2hJ%p|Ty*_y1sN2w>j+Z^ZWhM!Ayue_z%9|G8rHic3HO
zQ#ScL+;Fo<V333bWHRobqy|!$Pnpld$GMVV7CIVzbC1OqfB&1li9^v3O$S4^3?wjb
z|8LaGQU1SDP51w*_W!mt-B;Z7!FhFJM93t6)Kk%e8L9zg5EgC+&j+GNBQd1Z6x<Ok
za16+kfGy;42w@GscMN+#mo*dQB3GyWX@{B;%2EtQBSTnk6zm9Ughs=hRQkIb;tv4d
z8tSIV(?k_fE}FBN&wrPzk#zz;A_y#KVO_3kL7bGd|2t|?)tATq&p-cdHlzH1y`J*_
ztJ?ohFgWRsADlF4PhAl$gzQ|BW5p&};+7Js5XE`9AQGRzC~_f?usd#YgMpnbW>To9
zd0h*6s{f%JYD}b7A{9#K)*L};c<@Z!g1>{Wj?uPIeIn3Tj~N1$=0&Fq!WhquU>u5D
zOwS}|hPJy2todYTXD@^;<JL@(=xqFb(mOhFNiTjVC#F^yMvmH~DQ=0)Q7#&sCYn=z
ze(ifxMmuO&Q7U>x30LvP59h`+!<18N{+u5qE#7~&9MOPq=Ky~S1``(Ameey?VenXy
zjkj3Hw!kniiu+4Dd(Wu#g{X3_Wm%9#dM#cFKtt02-Q8j_+)@Sodo2Hl=|5coD?0xL
z@?Vb1|CNoD{@)V)KcIAxk;N<0{oA3SXA)^w!leBMsUOAYAp)38t0ZzIV{lGJY!lG9
zK;mdLUIj4#hVfIMAlwk<P2T^?QU!o{{C_pJ{{bV^)BS%t`=5Gs5~6S_53C5Au}Wpl
zTe#8pNM6{!q`)v!Vwf&6OpzI2;*#%PNkf0%q>AkY#0vjXioC?OLXWBBk@Ek7{x4Gi
zm>d7OQjPNewOZ=`^^Va0`yvlqnu6Yrys&)<fngf0N+ef{NEK9~2+lWU0fYIe3VXi_
z4dy2#$Mff77eiCb{667-kp0-5t`*_`W;Le&snyf_f2+d(jF0;;<-E8L9(HNlcY!0S
z26UcS@6IgwX*$Vag+(8@oEDbeWYKQ6Ajka|3rEH)7wLp3a5<@No?tgqwxiMkqkH`3
zKEJ6Ru9DM1w;PtXcq~`SMI^nUGDqNDB6=AfW`*B`&$^oU)#5*F#r3puE+p4{LfyFt
zuN)tTopNxxO|R3ho{A>ne|xp(|A7Bv_P_OJs{dOR{y*?tlBF~tkp{e93b=!%AK2e3
zb(us{QXSV+{J+}s-$v~IZ?&50e{KQ)AINy|iin>f&t#0B=w)(_YQ|cTYUUu}D3`h5
zr09)x3vrI+c>G0%ZR%sgpa_rVSSMAHJfg{tc1Hbq@|;m5qspuzyqB>B)Ns>?A!+~r
zP+lVQx4{12XhikD&2lxp|GBFD|3mqnuy}XOUi{bPOR!Pm?NnXusjRC-XMAV^o{1J`
zER+8zX>OCG*#(eC;{LC!cK<ix@?SZn|Et^ol`HQ5m5Ewrtcjc3)RoYtmgJkMd)5{_
z{e3(M@%KOX3;O&;v8(r1y8o+<YV7_8x&%!3|7!OCQ@tm=so{ogF@L`aj{mQMBRbTV
zauSL-;2!#&pgq^HY~gW^2OqPHu6r?rfAAZsnoLTO%4aYiTo<GNpmm9TrPjV1A3+1*
zM(t@Hj^5gDC1=TU5$1%L><r*ZMXn}tgkX$@Cf7z#9g$pzjOh;89!0O{Q}CO=i!o1<
zpCi2&!f)8i1iel)zPhaONl0V;V`vh6OxxrOQV~9b0G%A`-E(Xf*gu2mb~<KGxJR<{
z1yW_KihbN=@ZmLmUM~N-`o^!vpKvNy*|~G(YP`U01GZQV`B45v^Rn?@ATxSh&mr;f
zJv_0Ofs-T|)Ym$7)Z{<%ZoRG)i2mjcNqAGGZz5Gm)g)Ijy*TX{FCRXg5HlC4F___O
zF<Y3HH`ERrnMt5l%gJMqXLHIyNyrq-Fd^t<N?Jkk%<pf<CRj@1YmKH%B6M4J+UytK
z@_!Z*=1+Pp?+DS-miTo~Z6OlqKmS!UhATP$uhh!%`yaJxdj7vM{U4_))Us+AM0dHS
z3z($@e|c>TbNM$uy-JJ$!vLO)UotQ3K|~s3_%@pNo5`5P7U8EiEC3Loy>E`kl}Q0T
zw|XvpvL_Rgj}||ljA>w$Q0Z?MEq$gq6u(WzUvt;S0nx`X8cLAGTAo=_j?rMwtqZ6t
z)Z{y4T&R7MhrGd1K|g5Gx3=s<SmIwI*-j?ow;1riMh}RwxjCJTpZkV=)c>;30{Oj?
zV(fqrH&S7(#bD|7pcRb3c=DEX5fnB|J^0bJV$Ph0BUlj{Ebc&kG;b(G9EQnwCn4m|
z+~Vk3C#ZrtUkN)h;dR8~2?d^*F9GEF3@C$%3aVaU`N$nOzg`b6w{B^punxr;Ygaqd
zS%a6Kykiv>K42)oL^wj?x36zp&Me476>2d)Xt8?LI8X_BuCM^nx8t$ZJMPj2820?9
zhduvw<DU5<l{o{8Z-pSv+Tx&KupT+~6_r?2&GzWg_*9uKS`9KW<;i$YlumjtH?wfX
zbnaY0OuN(~OAK~mbg{|!U?F@}2xiek&9@E|g9cA~3;%h8_%pQ4-X?X41v3k}<;nu@
z{JyDHxHOHL7Y&*hD`rQFosJZT3fOatIyjO+$>GTGbfhS=WAxE*yRD*V2N#CY{T|ph
zc<__+aT>>XcBFG5^~S<;FLV8|TI8V)z`Ru5ATxxk)y=MU9t+vVGzdJxOd^Z3bS1%o
z|2`hK>MCKVjA7W~?Ez)uGAzbUS+e8kYu*k<+Tl&ntTY^(t9dN8UFQN|hV%<5+7m@E
zuM4Dt!sxkF9eq*azMF$OzridhubtCE_;i8sh&XpfE&W9Jp!2-+<~7Ugzm(h0zoyMg
z1u?5AnGw>nocOv(i##A^ft(bGT_C3gLc>BMgC^7<6ate!xvZ5F|B>oOY<xW7F{is!
zfkOEo;fR{DTkvH*sBN_5w}lVt2Y{a`JC45}P-jN?b2#EXMc#-H1H2CK8D{c>UIjyr
z@z&UwN!W`914CbIxln*F;Q`wZYlYSDhu76j7!vwNj!pF@QuFzgs?X)RX}x~@Es-TJ
zw=L1;ARf36eh~OO2<(kVZX#sT6e>RjHYo=$FB4>1NVuTQQNQH5le|Ct0dhsn2Bp0$
zAo{=xMI{rBu|4QVA;VO$2_FRfbzs3pm$23oswQcdg%C5-5SG~*(RyrEiUKr+t!+-u
zqy<7##Af`iDy+e%cF@Fa5wVJp)iS&`@fcbN5d;IUBBDfDg|BRPF>SCE@eRi{2>Avh
z%wXc9zQunqXig;O?+gKibYFfHIsn9{S()ka?4@vW;hB`%;lb;%@DmX{EfOdGMDkFN
zF)f9W8*5fgEF;I2=L-c{gJMENT`{yi3y_#2rV&QYBN`wu6lpK2Y?CA3#b+Egkf;#r
zYoCf5UDh*f?z^g}%kM2)w4w?&X_z%UVd9M)dlOPoiY{?Iq%A*A*eG=)9E4bJT;+|b
z`5;yzAA~|?=E%^KNA~kv7&H3t<!9(VA22E^#kr%TxG+1O9V5o#fs^JCSr!2XzQNd~
zRIM@z@&6gwuO?=>z$||C!Jtdzc+3AO;E4290?$`z_*&YbOI5T(KNsBx1<B6BKhTgi
z3qzScrU9A?mGpv!0-DK(LeNe80PWm@KZW3Jm~776;1SBX6?&Yx9}>}Gq=NHM4Wcy8
zgc}p8qoB%^Z7V4?34m~+DR2DQkm=x7=rJ^yA?z|0CF49LQ#iWpk;-k+e+3BvmH8ek
z%ZZ`Q7!b9sC_!SBj2r$2KtyQKJY0vUgCQ+{Tv(DVB}H&{^fY5_{)xug+*6IU`+c&J
zelB(X16zkVZZ5(v4E;eD_fk%P=GuQ&qwya%n&s60@2bv!WYry80xTMxq&L2%NASd`
zA2GGGY%y_~Y|;@4OyW+{1eY!oJVfsQ6pe|$IYPRs1l36(hlTx)PrJkjj7HqL>=Y!<
zbNHemg2XZTxL#A#0pn^w)|T1WD<Eip|GS<OSpF0-xrjRhF##fk>)?TT_Fv77TEzc%
zrP@r-e^<5tLv~WaDoe5gYg0*uUs`5{Qm~N*o!<ChBGi;SilL4SJU4L{wz~2|UaGOP
z1AmKlVIAs*OP*`ql&pvg*fH!RxB?x55@e7qa%5;d?`Rx3sXd}cwdBar`vdQ2!ga45
zjRB6WpvKwdr`N83Vhy$X3SECJM9P-`3fs*2PaUnVn`6asl#9t&RsH-G@#AMfR>=?z
zcHiW9{4EK(0{|b*$SU>w+ey4`AKp+-sdhi7W_CHaei9w1JSj=RSP2avb(VYzF~{sq
zcS&DA(@YQ`6UTO%L0){Q=l1Hmaj`O4cz{b0E&L@(9v4Uw>0WdP`Q$KRWy>Y_0#3Fz
z2$pc^y1^J{?8X_PJc3YM^7M1mF@>szNDf~YuGdZUn<MMtLZme;@+E#w;v|+vKok;}
zWt>Uz3|WP*r3z6EJ^fMEPy5M|4c*-OD)Vc*Ifpxo(Esa70(0m;(ELV}{x>$NDgD2@
z^j}7wl-pevBak2xOyL6(3?FWl4TulPRr!G<y5E2z0nMsTW-|xOBxXVOKxCf7AjEsJ
zR8Ap$1t@``o5vK)V7Ty=gU9Pif5L}5X$UAUAV6GT2Cq>sujAc7bF_rb!^%yt&t4)I
zCFx^JDYuo(ZTZ^rBz|iu!kVUrxIWu;P36U{@qN>f?_FT~;yRV+p~y7-%AEH}%wfW*
zuXM-|J8TyUnm9!C6e$|sRh;4838nfJ{?9G~VlKL;E7AYP{XcCq)A&!T<Nx^ay<q($
zN%X1+8IPxu@8t2en6Y8ZTtG%*QXRaoZ#fY&d5c5781kVfYl*%<(2gLCZluGu@CRNb
z+z>|a1AnUM07Mco;a!ntxphyfQ}#dI`yCMfR<i$_wb=fzHPZdRqW!-eSkv<Dc~z}f
z!j5eRJ9aL2623r7Y-8k-id@p1R#Lv262T3D<?uon0sD}2u0w6C!iuM9_~0ZtIl)ac
z#R~X`qL9GMFh}hSsXu0F$a#b4Vb=a%)*<kG|L@Ic{MSY^-T$lF|NbUL6^G()6I}gV
zN?6uO@JvB%Ns<`IthNJU&VmxrRGf1oIOJ+_%*hnYA&ho3FR*H+L14Xr)$k3fuc^-t
zGb+NC7%Q%D%lp(i=w93Zgz>-2CBUUz0H25dtJPTik9srp|FSaqPm;y1FZ*4>CrkXA
zR06FyzZS7roKl38S;-@^ph9b!P)V)bW8PP$`bYN%Addb0G5&;IZ1IImK>m2g#jj2s
zSVmPh&vH@&n3fAQn5fW-tF>ZAO#Zc!*yWn@d_I&{ehPl4aYXJ6{_l)*qq}}XZ7?67
zjj8fKe0==BQA7M+tJTUMkw%LDS3Cb4=armpXW8>VOaD{es7L0%QE#O7e=GU?v%mQr
z_TxAI=KplwzJ1$ytNiF+{&({4%fI=@|GE65-+lI5fAm}X<bV8|fAz2b?XUlC_jkTr
z`;-6oqmTaY+JF2n8!761pY}gq<+>^Ke<}RmKs-^Yfgq6L|5eYwskoKLkE($Fm8H-B
zEc>rYO*;Q;BL1&$)KmMfm3&%Hzo})uL8kjRKl<^H;qOl{^(U_mpA{c{^wE!h10H_#
z(T_j+UHJdoe0@NsKg37){vLcw@cp~+{m1bAbNH^ow*cRN1m7HdKY{Nb!}p)U_aDL+
z>CK<P_xIuZr@Z{1^L#%=ip1;s2Rt3?DZ=+pc-l{S8rJ#u_!ry!8GH$^^AF(rPjKb&
z|G&>+#QL(l{f83#zsKMGjF-*vGT4vLdD_Pu{=dWX{yxwDr@Y-q{QoDsuLx_N_r>CH
z`~ffXhy3^N@%M!H3E}!9-VWhqay<Xv=k5L}PhXSZ$M-+y?O+`P{vX?TEWuLb<!zq+
zAK-fm-yh)X!M6$Dm+*ZK-!Bk5z_$+H{|(>2;A8%8I80)Gu-;wXuV3^02R!{R`S({G
z=C63)p27Ds34Vlg2fj~u`7il<EW6Fif6D9lZT>#P`-pJX`1n_NyMM&zH_zA0m;4zP
z_(vPOjz8gJU*m238HXz)t%+xRK5>oV7Wf6<HBb5Y3HX19?jQDy<J90|^FW%v-{Eb3
z#M3|G`Rn{W;s1Z1kI`@OHTz@!?jQ5Lf$R4tyq&+t-~Rz$>uY>|GrasJ|NRsGEU%#*
z34UyIi}wr1@L%vT!L{&TdHYrV?sxe++z0;+zW<5m`=9VVM?}fz3)|J$JpKsR%D>}t
zaLD)6KjU-v$9(-AAu{IW|B%nwzvXlAbKciiye+KbKT7aF<ZB1v|0R6eJYS1{f63Q&
zmG^y@uct#^CqD1-|6lR35q0i!7{29W{ujL5U+}VzdHt{X7=F#?9M@x)!}OA`=jS~C
z9)mH2UVlO_v-8RPZGm(D^40e9y~A($<8SRh+unKg+<*G2wf(d$vL5UlwqG3_h?nsA
zRqN2ty4^b5+mYTKym}G^fcg~T0Eom4at5UyUZaj=|6Rv=R}wJeMEu4-hd+P&w}1P;
z;NSn_-}G}o_&?ory}QK!SIgCu|6ld|@9Z6JAMU-}zlr&udH>VD|54v))NuamwMKgX
zdnKO>jhVH;hO1@RQO~ibom1ykS$@D%AbTb9ixSx`Wi$3kA72e&*{mHX>WR|VGM?@k
znxA@zPZ>0I#?ugy`ZaszP59o2Y)H2FsRpx6-y+%gQ4{w<&W~rde8_mZV?p~{P-7OV
z&lX5lbu{|V9%Q-Mtu|D2^mCJSO5bZIE;?y6l+KrZOfIR`kk<sihRj!qntR#W*?Wpb
zaFG^KP%YLURUQ=|)vM(!JFUoPOv|HPcWp;EJ?g<H+afj_86rmEW7dPvNaQmk#|Zmm
z&kj7#b~o48cUs%~r51YPM*lk{%jvK4Dz|7wFbhyV)6qKstaE{7;kS2TYjki1-NOM4
z5Nni=_!j?xNo>L(XHxWH>fb(etw47DwMn*Z+t4A^v*ZIjIS+cj#FI6}xgd1cXfAcz
zsGD8gL02fuBMQxjLsC>s#klZv)pwGq7(_cA@mnG2KS($Gv@>+MZsBUB4xL<eU|Dop
zUzs``Z0`b%R$eHoGNJ`=E%Oma7b=qbdug%5QXwLaZw~9u<LW78<@EbCR1)B?Uzzr(
zW9aSxAn96o7z<^(y6b9=N6Wn_iM)QHgyEDjWw<r_KvTM!BgU0SM?SQOs(T_XGOScy
z410=j_|Z>oLsMK09Y}3v`EHuFqF*THNHOLuXFj{wB*|{_L11t5(&E8?S6doT8!b$-
z@dc99YHSgOo?!d)Zr?ur#~XX+!xKlnDgJMU|9@clno;^+X{P$Wm3-EA_rD%LJly?e
zZ~x%cVf*1^>tSjA=&0ms-pF2G-+V|)B$ns1Oy&V;Yn}(V#?7pqch7XY+Z&>>KsI<N
z{y>_fs1uP;9GR}t(@JWuPl^`#_$m4LCHc6WrM3Oaa!wS-8kt=d70j^S5gTI$swXb-
z9L02P1)b+zkencrecc<3I!L_NEkIU)O?vBq)kc~t{=tfRoX@N=01!C-tJvLt+1`G(
z+k#))&!4~i)j|6ZC~o^;yS2N&^DTo50HmPJ{s8C)mg@<hx_G4#oeV=GJq)P&U~c)$
z8iqR75p5r<!!AN8Y)6Rb*0Jqq$Gipd@gak3%^j(jFryRz7BAKVj%Nh*v0`#9bRvM5
z=s??$34)0z_B~?R^lAoq<uXzRz?|W0jx*TxUH3${ZR|ZzE!rP$LxiJYjXZngl?<y-
zX&ZlpG0Lp<tz#rw07xyVbtD1Wxeq~WWD=e<GF7}mis`UeF7SdSyz3Zr*nx&R8n!*6
zzLL8%e&iY}c?|RhIS6QOctO@)w)Va{K6v`<c>AkeNODJ=<WXmC9<hXLjT}`wrqc`K
zcl^5i<}?2#>znkl0xvVn4_sgK2r`8jG5lP2ar4lHqGOOe&1L>zNf;!kr1&CKZDtaM
zQl91OfEg)?p*tYoF$x1)k^26cxa&tH7|pfybthJBq-3ZuRua0+O7fw3ZdoUknNrA!
zse2AOzgI1%OYOU8uSFBm3juz1Z5#)AQj~Hcq*(?gIwLJ=@p^*bO&EF?_7bqsil+{6
zlH3bZ#WhFULntYXrBdn0<h4?JtqWivhPkYb#oDY$sRaZ-VL%H>W0n7m2T|gK!tPrV
zU^rlX>k?AwTAFJ<^w=sQ0M9#xK96i%>0N)U_IH0ZeI2pJ_|;CR{ij{6r<+<gCl|{{
zbNQL%MVco+`&p#5t=P_DeR`(%0r$|2$*x47(jCD3BCgSg^>vui^^xnWcXV?dllUOB
z*ISGn{Uy{q2|?tiQgDjrQodMU>1(V`s`(hOjLTXt76Bc@xC2X1ibYd<hmXaM*27Q<
zn%M=qq$$H}tgr;z@ymn5b~1qMRo)*H#A;Yau#EuS4Rye_(h8SmZc>5_ym7whC=3M<
zLJi%^JtPkc5>)v@Xx<Ca`tx!(U`ct$D#OURwZ9-=d_f-Z418D6Nx*Cbvu#C+(H-Hh
zU)xY%|Kbe-1^`>WFebDTSha*xpB@i%{eZo3_)X(76R=pG0;$o*cZy>o-$8P`QY-=3
z)G!E${kQ@0(do{`I=2ON|J7fSg!EdtyDiOBhLoy{L1Uc&>Lib<j|m)&I<bz7ad-;E
z)bl2G&piwah>e^(T90@%z7KXau?1Wqm~YDBz*phLk!2gFSab*0yCQ8OT!ef934WE6
zY-mN$^aYoN+(dMVgzKTbnMAoOAlY9Tmg~aK0~#LXoia+dd#sM!<F01s$iu#2!8(V3
zF8nLgUse^L2tXFjs;DMrRa7UEHUAl|Im*Di<n)xBRVaPsS%iOQK9ob{MC%72QnHHU
z73~W21hdkR4$+QezC^UWg)MY)*-uLFgjFDAa#h7poE&Dz!>p7ARay%wg9#5FiU0!S
z1t5@T<xF)uX=o`(Cb}(Ffi*)M9A`~Kqn0%d3#C=laI<vKFrkW104oj<f0XE^JV*>a
zIzA=HiIDQvvA+nac;}L$=RfqLg9%Xol5zwRxRKdy0ing|W&dz`yVfx!(GO!Qp=G|C
zo)vo~o_V(bHy=Z?>*Y>Q$1Mz0W&`jVdFXfA&^wOeT;#H}nAkhii#8x%TG`PWNK-k9
z<JdZsve9yzoA@vHal61#<<`efr92OrkL>6|gTd)(7v``Rn#_znatFCDaW5a67VL49
zs-UaivAml=gpoxqeL}hMT<McMOby^>%(l4}9kcAPhs(h04f!${_KrR47@zr&`3Ynk
zEP)<*cyxrU{pOaTxSI35=6yzV6Y({j>xWPpS)F;XK36&#W9k=%v=Rc;zzQm1SXtVo
zz(t<IvqtKGFIBI?I*<fFH4Z>E0f6fD0H{s}pcV(9mH<HQdH~d>15l3xP)`7$emwx{
z(*bD20ca!u(6}A|jp+b1;{Y@h0BBwhfaY`nHsSzmBml5+JpeYQ1Mnygz@r2J9$gQB
zN7Dg#90%ZW0sxP%2f$;F$l_SpUJNTUozy1Tu|`Ih;Wr?j@P|rDKIZ!jWny3wN5ChR
z5^$f5efCkGjos61pIG||QGN!s2LT%+@y+E#rbcluhPH=iUQwooHUqE8m{%a0z_g<*
zZQ>{kjYK93US|tg1hr5u(5GnESPql}XXij6U&;|@$TUx(-368}iR+ur3q2g#$Td_r
z&p-$5p+B-%WuSLSRJi2UP$~c^z*f9L9$sTETX9^F6eJl8mk0=oG*iIr^YPr`BTB@i
zVU?WIw=KJy3(p@f7Uvk$!HE}PN;4x9B-|77kgMicmWL=i6?@TC#;J0tmg|Ohe*VkD
z-EUB^-Fvy;emD_)E9%;i+t}QE0=o$T{>)F`dDrztMLbyZ^xg#v7^vuGSn1;_4l2)J
zRJU7SeT}h&K8ucbhu5FunT3pnu&xQ!lh9eo${rjL#q4W@9k^M}1y@8FAitqk3|F;m
z&CgEdb4TwVLv}nRe&>(7uRa@f*gN<efhf3w2k&w`r<DGHI3rU`5Os(rj|3G2FpSd3
z^%p~qX-W(W1P7`wfeMPOf|5Hx<&yxmK;)IiHIf#Ln|gx6EN0V9dN9a`AquUiNQ^9>
zIg@<7{e17~_Ter)ekAWSq8RU#3ztcNN)MxN08}RR_D3O;id!(@&O4Bku^cS`6Sn)!
z-r@1f{o~zM>tzeQ)&ct*v`J@FUUi}D4<}Tvm){Hcf@LYsJsoSIQ8Q?qIije3KxB;u
ze$>sLMb31Efym|{Qj=>D1GSjmz_CXCfu!{aWrVe4=IFW|0G|FFk#=Z%$pVB}Q4|K8
z^K$szICgE6t^=~Rj#6SsIVnEx2CxQlpF`_k<P*w^@m>G!sQu~YQI~xQjefbgKCJ{@
zm<-5IKmBZK7OE*oem%*|P6<D$Ab=y{97M(nCns0QV-LibeGwfqny1Y2BrlR6|Agyf
z-{(82{QP&Qm^WtrcPab7W|iLmET{H=E1&--^k=EnU9tUNz0qhy=D%LsNd5n;<nuB4
zN;5SF)#m63)UnPl`kGnY1d>Q)5v>aZ4_*w=sq)9<fZ6QO)UKtD&{$3cLm{nowwjpt
zaI;ftWsZ;o8ncx($s8$$uDHP?HIf<cijdnO=Ma)dg&jHcB<idL$lN)R>`$0_0>d9q
zb+jJnjOa1+D|#@$Z<#zG7`l^qVp$$!QRuNX05fuxzBbM<;CO_}0`M~SK%wS<<x;r;
z{C}xjp?}MjJbEiQ0^W{}f;-Nz*uJdfWE_pvdxU!LvDujv{J75<>1c$zT4K2Xfc(Vw
z6Hx*dp4CmEnT(^ZHQIXL)M13^ajBu5X$JR#!Sa`ogdLqJ#t8c7dvP^+biYglLYzE+
z5?KY1a&?!o!XR(pNhJl5dBMg3)eMbxeKT{^)lfOw(ZncVJi*CWILx5o1py4+3#ac&
z@B9(;GtdBPFh(r&vOlF=X-d)EN8Gh9l;N(6ClkN6?}5cVf$`BM<6nrMK|DA=8>Gn5
zsYQnFqRqf;Nu8o$5p!9#nzDI11rsq$)SO|QxeE)Q0Y#mwk25n|OHZ+1%;aW|PCf$*
z$RA23b9Y4h#HDWg+)^gdxKeR6(wC8w)d4tBj>y;;=N%+Q)MJPJiGwIZA*z(i)UzJj
z0{NqlCmG+(d{C*&2Q3p>T4Z*w3K`j-H``>wg|{2qizOUm?VR;>3=;TLjGI|p#)sa{
z$z}P)Ob{l7;W6<49lrF?tmYY@>lZW*C!lF#c#Xz0JT~a(MW`poZzqwzChUF@`INA0
zN9+e)M=G!|p<9FlN#WUlvYh?{JZ6UmT780+n?bnJ7P_V>moc&>>KXurp$twa4kTKs
zUn-CWupZButgm__>NVZf6h|GPU9qO2aa6fcew3jAvwge_pfhOu01$IJV|D@>gA@i^
zdq7@j-oWa**KaRFg)TfP&u84x5bccF18!pW>kMOd^EB9nEO&vE5d`Wn0tHJL1_idI
zHO{<5p`CVM8fFPRC2f)nBP&O!VH!Wx3{PpbPl5acg)4;L>AfCj4Px(-($Jk!Qu>tY
z+kSRRwyBBlI5Weo)dY*fF1Ee#Vts`I+$YqyBUl`f;CkIVDMm{Ce=s*omI3DS|J5k}
z->7V){$K7d|KG)x#C*s~Qh>Dgg(MJ4ibw-{L))>=D1%8W_ni~pv;+_Ul}Z8kMhc*l
zMp_s#Ct%5uv`Hm}$G~Dz^q^Vw%n=O|%Or{e!P1&160CUj&kzIjC?wn$u3-J;-rsL_
zU+ziD;(ur?ey}&ml309+kbGcl{xmlJy=L(#*W<XS_v*Mv=KuZ4Suy{=Q7y;#|7Lps
z{~q)Iu##ej0Mg#~*?&1H!v5ns4R8F>(345=#co~@@WD$3fqNhbbi*sgo$YG;N;1OL
znwTm+T&=of$--Z&^CXK~+gLMXj7tr~J(V#o)yGu)_~673e*-T~{0PWbDt^p8eYpSP
z2Tb?nMGuMpzY*J?1^EA3qqz~a|7w<NDgS?O`G1M)m$-e2%MURZiR=VrO;}XFAk>R{
z8SY);+7VY%WLyw<cmLJ%=U3s^jo~C<zgv@WJgOKl;~kAMH33uNXtwY7C@7AgOvZbn
zU>hMbS!tvhP{^^mBUSI{hVETlj%&YVj@=jvj}$OO><4ttA3_fFB^i9q+ev|{-NkKu
z;tcW4t-+KVyNlddwY)GpW_AE(lu+K9owvLd*a0T#Xy_-*WuX%3R?>kk_!|I9fv^zX
zV!a?{6d^>|eej2XArT2a&&CrN3&J1doQ&C^ER&-N!2-lQ5J}7ec>*2&89CHD?m%}G
zQwJPKT{z|{k000ausnzMV7!f3+oMQ^E_V*QkGCcuMGX`icmt^G=ZFAqlR=xMJHA(p
z8sO&4UDW@wLA(w7?^@jcyP5KT_m}@;u_Gleknc~y3Hpyw1MumQ=vQk5&HzlczW2ra
z!@)Cq4DNUx+mD1wW*dGa6iC#~veh)#2>f;z|13jr4w(pvsY;L~7=s7Ha<9!nf^MYB
z*bhw^%XaKC&AmBANfoh6Hv_+uJU+$%z87{N690b_rr!(Ne^jFUKZXQP`TzUM|3@vq
z!$#jz?7d%%3{PjewkeEH&bNZ4p3Ano-^1kLjX9B=zj47JH4DF2asjjDrK^SC=u@0=
zYjRyH@rA0LEjuh!MWQsZkoou>-b^7u!?z|UIcZq(2vSA~KniD)$Ld~-7_$~ZDs+5k
zLdQ~U&qG2-YJ0xotEaasbX>*uT;l)Rx26BDZzTACsige>z2*PisQ$kl*8jJs>HoE%
zZr`@<zn$v-@0afXc<f$J?;oyUj?O=vIgvweFQ)Imy~RFD*DpaePtQ+>;(qJ+X%|vf
z`$J>3+e_E)w^RN8ZMk{56?ZQ8MZbRu{$ChxFr2eQIbdG=XLyY8|4k^6^8feO{zoh!
zU^6WB@WR%{JZZuOf^bG(FzAHuhsJU-d4VNwN_!U3zT`J=mj=xxZT$z$oo4on@n~cO
z5b!K&604G<hLsVUN;Ib2B+y44xRFw&TCS`=-gs25S07jF&Bo)}Bp;6uJS`A#4tten
z0TL-fW|4n^0f9~w020+0QT}HrRJ#&;R+z@OVaX}}I|{SxI-ndvBHvkqvWs-2K)XyM
z5xb<PdwgL5caaa9kG^uX-pC+`%Taznb{gtM57YEFIT|^}I3d=j6ux_1te3<xQpOT5
zuUovxdQhgN*_H!qeAEYq)VoBpJjy82ADILl!78%M{`duOvdGP9&SaBJr%S+fVhr-}
zl(^&*k~<nWTF(c`a#X!bBZ4P{B?qAsgO<a(d#zgbg`@We9vN6hS99J_AO-yr!9w3>
z*VgIha`Yc}afu24%T)r-0YM7B^`ZZjYO@yg{{TNz`hRcf|B%T$F&7Zh3iD}vI4!IY
zq{fg)pn)7R8Hx#bCJA(FJE*zJgfv%yF7JpzLK~Tg*S>16R4Og1!P|-J$544UO^e6j
z;kR!C$%P%r1kYS*3=$-lK|$hypNm+I$QWGi1qsN%WD;l!p>vb5(iI_+LrS&;WuT-2
z3Y0mv7=5=iRgZPWIa*w36C{f-s+3~g9R8>Jg5{HddGcSiQjf}im1b)H^*-W%d4)+N
zAd<|efTS|s^X0H>k^$OKoDu+{8}eJhVO3dycp$x^{?%5q?>WW5K>(6LTw7DA%3G+)
z*+Ec13^J&<_bj{(+1JlBGf`qLWHg=1u`+34*PC5pMUtUnATfJAG6b0lgj`gj8d8h&
zqySoRp%su=1DNStP4K)(27=9?qn(cQP;Q*d$#`d=;Ce^7+`(XaNoNyu+NE<kHiXhz
zn9wB{oKk!i$<h&7I<Uf-WUay;i)T|3^HJ#=!%!J)Z(g0Q`-feLvlOT6*WGm~VZX2R
zpP%R~-vDGT{VzA;_8+PK_a4%JJR59lo?G<SQlJ6GcS8NkU;7+D@XSa*K9GHdqquEV
z>1x9Z>W%@GjHr!#Y9aA}mj{m32QuN(V_2vFa1@|Cz<^NN>{C};^(Ml~vfCm%z-zk~
z>cBFr{slfE4SChx&Lo&QP|Jaip(WWl@H12D=K^acry~XZbr6RE;F}8UKil4U^_<#n
za0ekhMI9NCbEq+@$bsM>1_i%rZ9i?x1$hnvf4ZYk5F36<3(zpigonpT1%ReoKp<5O
z=y#X6BO7&~axGuA4*g1!U`3@O4vjcv#j0fs4t9VX0(#Ujba#NX&GB^AKtFRHJCcVq
zU?&8S;ihDu4qiP;1d2|XWom?Ko`F?}wIxh3I77(STa5T!b=^h1F!)up#PIA`z;NjX
z^}z6`nlA+|7|@@D>kfIB#CR6@iuJV6lBJ8(q;W~x9!}(DrfsRHyhnziqYacZor33b
zfG4Gle?GBMtv2z1q5_F6?p+2dqN4|#4CTFGC;L_uvj(C7jKatP04{{#QY5zygLQxh
z1O@Ud#T~#}@$j7DX=$e<6Mu#kQaXGG=s&eBxCsUDJo;a$$Kro9o2mZy{geOY73S0a
zNFrkZ4lwb0!al7x5cSUk!yG2&hXnhs-q$@0v0I-Z<e%Sf`TmNwqbQcM7Ub~*P|y+!
z`zgjr&NX4SkgzCN;`!wLlET?~nZTgabwjxqT*j9a)9Eq~N$DBiX;~p7j@wxfYDh5W
z_?9c6y=Z1JIsei-EEViO2>QS5!`}tYe=D`9{=ZR9?|;7s^gl-WV`TqwBtN)9F_qkN
zQh#|G4h64>y#qghE}(GPjx2oR0R2^71q}xPhAq#pZ@TRpTg#48E9G*Y+Zmgkd?rQv
z9}52G2IZ?i|E+99{XaLW@Gr&x@0<J=USU2dh$S<E&}PZklLC3&@gv{s3WM*%iSKPn
zgnax`v2d}|+m*?MSJ-tai|}61f4n(%EB3#&TJ-$4(MaPzyodB(T46r%52ta;FRnFz
zEpBfI{`biXh7zyE6|hU<sXg#i%7Z<ad39b2t`H|7%bmWIyxctghk5ke^&4sfk^DxZ
zF%AFY$H)H-q!UOHK>ll__<yzYkAD$~t>5<iH>mud&i^gVf2p-f{XZ-YG5__AMvcyY
z4VFvF|E=I-=p6^WNQkM=XG98H8Tm{GUmdFhO+Cp4UPw~P`99-+{88l0JZIvIkaR`7
zFfaaJxf$92RWtxf_x~zB4<1mjG-S$*XAH%*jSKX~^9`O2p);OmulC`m5HWH(rbRxU
zcJ3u4x0142MxKmm`cQLGOv_>EJWbJiB==M8T!+OOxJAl~{7~4Tps^2io+LF8_)(G)
z;~tg#m-!%{s~f1k+#-jqSGzowK{TO%yFENO6IP^{a^=IgZjV)*cox@U@3@a4KbR{^
zl?|tu#~%uMNSPj_OZRMpL`nFTbIRATW~B#u^NyOG)_g*yDC7xQW;doR)S9wDb0UvG
zeVdz<+~H5LmTblK*rF_utnYmzaDS2Y7tS~nYyeT6c5cIT9(&G6lNYCA7`f19P&#fd
zvOA(vMv6qu#dc7s{<u+zZ>&=7aix)vTy55>k<@(XIZr;{!d;n3${>ERZIGY8^wV{I
zm)7|N7X+?kOq_!9v%=w8<2lW3vAd8+v@<E+_u=t>T~tAekPcVk0_WcUs@5X>U$t4S
zr~Kb-@qe)yPr1N5#05%60=GpWFGukgWv!+;D!Xm|s`9AuIDwI>R5mselFN<e<K^;K
zv)06-V@oXs78*#JQyztc^_C3jROTXvPf`}+KGA=@*Snq)XfFM4#^`^eTu$l#t<nF;
zjHl%PE|LG>p#QeW|Dr@k_8y9^<z?@ou3_1ldlytE@M@Z_M7&0w$rKHXczst@Dyv`+
z;w$p93_=9qr2N4hqW@^Wb))CMwR)`@q5qISwg100`fqlYOYvd<CZw7PX?8*y0+qx@
zOlKHe%`0KZhg`kN6ZHO2Q5E|f@nlz5`Z=4uz`8Nb(d^tg^p3VgJRRzUCtE7*o?<?M
z_K+$BD9}?K%XQJ8MvhhBx0fd$fATS{HN-zi^<J=wOJ8d~eG=_`N`iVb$)n*nB&rX$
zC%1DRZRYZoN9%-lSShm!6t!^L1lU^CWIEP698Ktue@<bl6sOa)glb<`3Z(J|D;I+l
zdtKek(bD-K8@}<A!xfx|%S*YE>tXq67$PxlgPeHDV5I}<s*2$=C*gtchXN3c=WcE~
zrsWJ}x@qE7Jn{*#lbBCFXwoJTLzXZb7xLOXkE{XcT&QVNuGYo4DDJ7_<@l<Tt7QzX
z+R;saja-O==TbfZjC%0P0YgGdh}_u=pY5j1Mmd)~&!VsT(_>(*VH3t%Q``~`Td9Yx
z|8j!E3GqW0zzLNu#RRc;0Oku#F@0XKYn9XxFZmAbcY!r=u*Z_XfZ?hjJ-~_LgSgS`
ztjW=;WK0#sn0bk<!jD6ZZKG@{TWflRgOr{oF&0Z6#)S_uaVTz#|ArASvh8y{Mp)bu
z&P67+nV-o}nw@Njaiq+>$u75+DNkv`1Lf%{3BXJZDbUdK4~EU0&;QvxnBUb6fad%E
zYeemTnj7i;k6Yva<QY$OKX*v?b0C6@-EF<kthh3_uJL)aQBP9kY&4P%bE?%w{R7tQ
zMAq9SwK_5yNi{n6mi}MI@?$aj4@5s^|65P(|8I@{(-|MCDfwR|`8S5goN`mWf(Y(O
zt7SPHrYZ_Dt~n)6YUz8W`+ej+q?E#W7GN@N*R<q1cDRs?0IZh9fLSTv(65v)NEgfH
z7*c(Bn<m>!St3)}ED2j*fy<gt|J|FH|0@ade|r9NYxLhu<^Q`W|F`dn{GS|)HWViI
x*7X3jN}@?ey;e@r1JoWhK43jS`&xPcH`N2ApY)S{($C%d{C`CQ!)O3p0sxRzmGl4r

diff --git a/.setup/latex/bib/quarto.bib b/.setup/latex/bib/quarto.bib
new file mode 100644
index 0000000..a8b0597
--- /dev/null
+++ b/.setup/latex/bib/quarto.bib
@@ -0,0 +1,11 @@
+@Article{Wright-1918,
+  author = {Sewall Wright},
+  date = {1918-07},
+  journaltitle = {Genetics},
+  title = {On the nature of size factors},
+  doi = {10.1093/genetics/3.4.367},
+  number = {4},
+  pages = {367--374},
+  volume = {3},
+  publisher = {Oxford University Press ({OUP})},
+}
diff --git a/.setup/latex/pdf/.gitignore b/.setup/latex/pdf/.gitignore
deleted file mode 100644
index acd02c2..0000000
--- a/.setup/latex/pdf/.gitignore
+++ /dev/null
@@ -1,5 +0,0 @@
-*
-*/
-!*.pdf
-!.gitignore
-!bib.bib
diff --git a/.setup/latex/pdf/betaNB-001-description.pdf b/.setup/latex/pdf/betaNB-001-description.pdf
deleted file mode 100644
index b13486035005db5e9cff5c8406c7936b2c1d4231..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 86623
zcma&MQ;aZN(5>0FZQHhO+wOkbwr$(CZQHhOoAV9+WRi1|nSD{IbyL|Fl~q;AL#iMm
zM$1UY3Pn1<JhBeO$V9+EU}t0r#lr(dFJo$J?rcH8$jHD(@P9ohda-}j&Zdq8^kUYA
z&ZZ)!#&#yAP<(t)PR@>|hBi>{n<pAOc3W%+esB5%FNW~}k))zZNKdQQnyWz6Tx;~g
z+%SzI+*;2E5{_Xvb$ht-w$|htH%54=Hz8#5;=6b5_}xtg)MV=~BHpKOj(i>uIa28|
z?j$j0Pozm$r);JTNZS+ysMkLA>7j}^?Sx)V9*nRl;ek`DNt*@uoz}9=rdtapr)oJ@
zUyU{vJ}-h2CyxPYca!`&{68MQSR!RIQnoP>3eK7KHAHBY$<kI5k5zHXML{s|Kn`_H
z-MaJ7Csb7k!br`$N{Rb7C}3-8Rn}BNp&-MI6vHX8J^l)p;alU4^A@>eBnR4SXSyAD
z2sL}iCDV@B;*7S4G|@Ejt@gFLN1fIH--g99^UX6{SB;ynx*5ojbyTogSZ!@V_>Zjt
zR`VfNj^fFU89+<>T=NScnyh%Af*1}h*Y}V1AFMyqQ=)##uA0hx;^}!Z<GW#q*Qu+O
zz+8AF|C-uh<UR?lBCDzUK|mXed>22tA3j~WQkNM0Un4mL@Xktz`+0qYv!U$(?O_r_
zOb`T;T-zPa5jNj{_5qd@z<?D!odeG}+U(&yS|}&YM87Oi8Y@B_bvcb*u?0aP-|e*q
zXoQ1ez@KaB2H=D<RJGT2+pBUnE!974^z5@iOnYv%l3x+Q)r)*1#4(_oWB+nOes;*N
zbQo>1)Sn;psAvQ(3qU$y-qn(Sp|~1*VLp8b$u~qR#IJ$cdlcR!93YZ1+o8g0LqMGS
z4e$3;z|=$H`r-l-uQ_^Tlw*|z2dl7TZ)m?61c(4BifF0*Sgwf-I~FLRTTa!Y9o{Md
zOQ<_*=fHR6msCJ+%$E7E>k5jQC2;N83w@crK0?h5;L=`Vd)ubQRALB;Et*F9?m2G}
zIi#LM%4xUkPVAio55TkrZ*v;78^VS$k99bv8g~|)@Q~yWyEEl)$&eHv$uKc!QxKJ@
zPLYr-_2lDg0XwAn@j|61xW-bG@Z|>`yM530W%gYHOB6Xa(>dTHnjT2EnyOQHP?2EB
z1Du`<7xdq`rtF$fdxXpZ<u=r_y?dJxq;#}ljitQ5NVvW*KQ5Y>kJ8MYAByI1_L_p+
zgP)CBLbU`PD3>od3+<Dis$6yB=CB+PI=bXr;>u!{AK#a&0qs0_dlxY3${X_Dzg`<_
zrw+bm4)1-$HU3Vckuf1ji+H9vChZHZm!vtFQrl%1y3%bBZkK+k4n!oUU06CzI(Ur3
zL&=!*lg+w6#NLpN+x=Xa=8ct`==E>eNSAHpS$AA(Z41u%y?TENv%R`;yNABbcl-S&
zDbBe61QYI1Ke-D(4iB>rcsl3lsoj%X=T?xN^YwRZ;CI~gO{38N#sV$-q=C&@DA6fD
z4&iBAH>nus%LMr~@i$6)oNmjZ#@1Nu8kRfd1-n4!%E;8ft*l?2tnKZ}$i#dL(Vy?+
zdpBBdKophWJ^ge@NKp*uy|IqCdE=CC9|RPi$OW!6hM-JsP5vKq`7irFjfsi%e|0EU
z28RFJpa}lI9m+>Z)()Exq3288zEWVa(VLd0msByEO580)dK0*zLDsZsm9F;B*Kk0M
zrlW^}nSt5vlow(h2uRPoc)iS4jlLK}#ej|kcn8cPQd=lM1qpdpuni2~{vW$*y|1bG
zbCp+@n!a_90qwkoG?_9u5LIczqAZ>72278iKnej2-@(Mey>=}38|Uq|K{qv|boSm}
z<c}nlP|N9pQg;7QyM9A?Vfz7*k(@?cxa7GprSbd+Lw@KW9xF_(eAWKvBhse{B@A~~
z&RimT9K$J<)3gP9mLlQ;kt}G<^m{k+SkQw<K;ybw)83H~8XyWxM8z?UzWKf})fVCE
zAVMs0WpU_JGERgt6f&)#C^6L%W?Ai8&(KeO4dp;GqL$SP(f|u`<HC0>89FqTUZ-xe
z2r4=Z-&>F@UKp+=XY;B5ldw@X;;a0qOH@iHQg8Mc6(#XQ(gt=PZ${0G;$iTh3taWz
zQ6t{3fzNnamhbp1hK#+jeO1JlPj7bMuRRawS)1FjfskmPZvyd+GMY|t%V&~)7L9kO
zv_0|+4^oA@lk`*E6bv$7+@M~)vN_#;SJQ40$DVL3zWhTI#}j^za$42wQzu{EoV#X0
zCE-2Cu>QKl`&R8>@r^F#5x8AF5p8+!VS;;xxGDPt{mwOgn*Z(X|Jp;$Z2wCSF%mGc
zF|hp4%wr<pU}t0fAH__-@INU5CkF$^|KDL4(+sMDy@^BzQzGHu26=m{w_W1?fB*y{
zNdV$TuavJqp;cVMf#O!TuhuQ#K&iFu@to~6$NBdAr*&6TopPM@VfH$GZO6vkQ_I(u
zO*;)%4HHDv{^9XX0sy7;NcIf`z{e+u$HxaKV`c^nF^Kt%&rQ~Zh;a)SAV~T<qTnAC
z5DuP2gzzA+94H8Qi8l-2D+tgR4$@Z+f{!oYA1D9KFM^>1ln?P7ybjdt4sgjpv5uRh
z33z%59JbC)fH(Uwrw@P~j@wU9M>qK*&LJ=h3KQn<ui%e{Z~)-y!GQ?k40b*wfWR<#
z)~8f2$w`1vi`3n%r>DmwfbNEev8@-H1HBI_$N})&e{0ZAzK(X^W$Mp15BjZc#gje_
z01O`fl?UgOjynhq0S=4@GmC(LarujI2-pHT1PEUS{Jg>f$W?1_o@X+{52@qd7Ye+8
zcJRl&qrcFHEST>H0xU?79z~6C2^_Eqd`&QG;2+ya20w^B016;v<A)qDds`poo==W&
z2-ECA@U6&&kWcdl1K@prU-!E$Xdg~Jm@|fZ_}wMGyY~-ov>K#E)xV?NzW~B*dhdl&
zXy0IdXxqpAuTzJdVjBAL4c`PjU~}`wc4&1dWeow!;R&FM@^{38!SL6(37i;U(A(R)
zkmwMg9vk2q)^Y#G$3GyB`W>G9&+bVW9?-XzLEV2x7<(Te9QXYId}$8%91@IRA8#L^
z&yV{T+wk!T*qV?4q#w*0KEUWV>1P0@^$VGQn;+*8mf^@N9-rU;?(OW(4-FowDMT>G
z=eOX`VWgXkYZB~{E8DN-yG>aS?-cg_2n`Ly9vb2a`27QP1h8<>+u#3hwg@`-TNQkd
zzrj+08$;lG&Jq9gIWLj-ZxLWiA9@h({Z41I9{eN_(E1NzCtE%p{`r37?~mq<U+DKw
z<(GTvPxbsyJE1YG=?UMrl^^mCpMM_o@cIe;NU#GhJdAcekoOws*{@=BpI==a@6`IM
zkB=4P-Vpsb|8>?c4)L%S<^gQ$QV4+{jQ`}ZZ0G*1kW)C{KsTNH_-zSj|McwW3x99O
zH6R-=7yb=g_V)mYpJvVvzXAkwz}n9)!@nK^03r<7hv5USn1p}^=Kjb}LtMN54WA0^
z{!zd%JPe^<*a;AT8w2O*EhaJ?&>ht;>sO#K5J0cRFP_3*{mPDn3}Aod3p;}U-T#lk
z0f7G8Zul=>Men|EU$}UuFQ365{gM7%A>iphO_k<Hz>n{b{z?BHkNNsv*m%)bfar(*
zL-*zw|It?f>5qB`{#^qR#It`N;(iPp#UK5`{~jv>1@j6LOm9+Vh&O3Bc5%NN5$B|$
zzkM;hu$#Ub{dc|X+jP$sN3HXW@;X^PkAKhHk=$$h{h><Qx>V-m+~&(I+j6crGcl)C
z`(szFcM((5W-uF_=!@ymN38yoaSF-WHn0Tyr_JtHgg~B5b`0los>2S?sI%i;2wf*n
zwac0(-3u=!SHr(mj<V3-Nr`#p`wzn$Pl;n7+dPR^a@Id|zjR=qfaiHMi-Y$|ES=d=
zzU(&=nc3j2#2_H=B2nP`r1(xKBf#H_927Z(k`s24@?ak$D(_pZl53+`e<2LyWqcjp
zl_gafmdVClfW3g~Ggh-AF(Bat@X@9UAq1&=rC}Uoz6sUrqu0j#C)?F=a2so3@Il+R
z$}RnNZj;?k(#Lp;ym8;KQ9m2Os}o4^;=f-tACy@)THI(WYF8`~F{6Cw^F@KjHm#EF
zfb;sW5*s9iF<d<Ydmdf4@FVrSqcSiR0*$y^xf<Pj%a0nMM0Ca>uFu^G<Pk@h^}MaN
zze$50^d!MBsXk0Kh-1YDsq!y#dpq2DHSgW}51O3Ol(5m|8S!gnx-x6LLF6^iG6Khq
zm~%*#y9wgMTj-22K%JlYv3T`7acb{|D!A6mKy#v?>CtLwf`IhO$IP0SSVuSVQ}V2p
zBw*CyQsemrwAg4<+GQQ{m#Q&!;ulz6ya++p6*_}VmzTTu=jl>eWPjH(XPVnTw+rWl
zshD&c1&UG4_zP9pr4`7L;mFO3DVE}XrX1T)y-Hyim&ycH7_Vgr`|9JGXCCCJpZwIR
zPG@PA4!7hkpgx%z+u(%&u@yNy0pG;HUT(MEiU|VgEJJc`5SvqbzttMmNbH0@AyvP+
z<8%Au6`oYUWswFJ;8{7qW39c@n|D(8MBumZ?kitsF5<zBJR}ty^+XOedCcf`A~&Rl
z03O4}IG5+-Ag5bxiw^aM;t22k1D#?6o>NnW?j9fXUdxl@$-EY}D;Ubr!aMZf6$5&-
zr6cq?ll(0WPNXGHR+v<w5;Gwa);RhS5rchXm)pYzN@?ZcGkKjQcz<d<#)!C(I^<K}
zW2)ehbI2{vTre4@y<GOJeeh8(%>|XyO?@X<QC^b4Lia<!q~WQgVl1Xtnb{^)!lq<G
z$o&00`^0<Iqyx?49I446b0zzJm|i|gUPZ`}e+$5Hf)@6A$T-PyAE!thKd}C(cEWZh
zwClXC9JIG}hZY#M8$?;^-Bm(~APjrazwj|+9;1e`!y}vY`~K(JO?(tO@e)sw;hP*_
z_N&oNCI?SIYw3xikj<KBG0<@Y9ZSG2#4dg3Clqn2G`2JQVBF#)c@E6DbZtc}s(d@S
zTpRfedBho`veqee{qsHg*)0GZ_Y^opnUjO%o2YL3oJP1D&@Y3gSny_;Rqn9$bcCC?
z&{3Sl2`&|#JRyJ`m<P%ar{In1^cj6pZxzxRcDgOpNC`e7@eMewQ3q|qv2^<#$-F@5
zkgjf#I?Ix5Ow9-dm>^Tay-THI1zD{L4>d&1f*eb_n^3pXeb=K!Wrq)?(+PZnBxj|`
zPpK72R@jEzmbmbviRoYP-TPjx1Lk5z979pU2kV0?Owo}dHjVy0ju51r;|>3kI2hp%
zq%9RH&00U$*o?lRP|6hVZ_gP2)4-uwDFw&gpvrMJE`qX&9T2rDk_IzAdScJUkJL?7
z;{JBr6#ehwcfasj;yZplvX-)ON{tAs2wFq&&4i}tJVb(drD`qh5TB<6H<_zOX1({F
zM9fmZxS%OQ8O=6v14>@<ggz4@CBGE{d4U|qD2u|R&_|_El|PE!#;%_|FQcAef|$%s
zuB4`BygS3?)FK<BIMH2BcZ^o}W|Q1Ab+LTITldRl^!Y|Tq(8H6wk)m8lrfmL_2T<3
zjKp2I7U1<+XIP(c>l9e;^nefhlt%;|o#hd@xs1o_f~TcONm0EokT_C=Uh)lMV=TtW
zqv#oZw%yZ4Dt;S|YBLFT&PiPF{rp%*EuAukj<0K8yo*u}R~@+uJzT)wzEU$Vmoh0?
zxOT8mT?>1s&Wcc%vv5rhjty6^GA$6H#Q%Pti@6&pO?U4Jg*OqJEYpsi!c3||$X5h0
zPsiuQJ%+x`p(C$37zMCqS%LjBQ5Ppsy5Cj2x+Z2I%gi<dHUxubLmA2&Z#neijHSzl
zhV*K$<9IaJ-GSL2YK4IoZ9JO2M?T4{8i0RgpTT#z5=A${-FjuLX7}}zIu&;2zN_4A
zth5y}Yy?iRB4VWhGS8&D<t_3FT~{4>TanL%y}|-)?h=J#9OukCsE6mHHAy>Jb|ZqN
zjLxHc_TOzFr;K=woCB@U?%s`vAPWBp649)GX$)+=8qOV)6*q`AXSn;v#6duDF*-F5
zFcbKLa{>yKuR*la@O#&kY~M!9()*x?(yTnb(r+V!Ccfv#?~^6L(G&qSP^<)WW}C}t
zys&4Y^b4VcTHlsHW)zn|5tzYR>epbH@E;N;`#ud;p%KX;sI>r@wwYr^>~r$q8>^3)
zX$5D;MA?t>9PLr`FL#(lURbHzReiJUyu$u(%u3*Al6Hs!t0v`vK4`fH*n016NQ)OB
zUgm0r7V`k<4NRdO>t>%}!F8TpD^86lUHHd2fYDEEEYjZBnWt9MlIs(Nn36K|>5Of$
z1w)AfLf@8W;x5!a5=`Z+1g^gQ-Gmy6mF8!u8-9+?yp6vyJ`Y5t5IyR;59%n6<57`C
zt*UfBeJz*M`?cwn3ETFqNXh);sE!5)RfvPjYSJ*x;fDk*_XJtRXr^xfsf!IkGi8rX
z)Z%fbbo5CM1;SYr?b1$G2nvlfNFAf$c=VivxWX9uqfqn_Q^BY?mhW}bqOb(wXk<+*
z6D@<({T%0#%-RNulmrJm#$APN;%Sd;px*{&5j9niMA)dbjx3jMQUHE0TRXm^46)$R
z8Q>eC*Y&hXCNq{R7mzzNDj~Hr0NYK3*3hujt=7E{HV*~)?KrS@UGoI_Z2v@tN@<2m
zg_g@5_G{t02F07z>r|{&9M!ZOyqwXQ*47ehLFbLwo>6?MmkQHGNB~!628d<G8N-R}
zuvm7rL-VU>H5#Ni^Q^dy%J@KU=}tq=BZyrA%_?{Cz#7B%fgtrhg3m3_Y~;6m@JNMS
zxd*l;ndQcz74NQd`}|i<4X#p6RiVnFWbyPr)4Kd!;CcqD?h!?Wntx@t2sKvpj^EGD
zKj7{q)^)Z-4BhZ{8q66f*ddq9rx4-6`6RBtItrxu{Qwz8Nvy_n^njZa>sFLc6ox!*
zk*sOlO%D$DM)%#1qFrgJv4Tb=g<YPT{mhl8n^m<8{LkcTgf?JNH?ZVDsA4E}RLwhn
z(PR4f2cRv?Q(-fl!?-@?g}J9%e5n%~;e|Y*Hdfsk#tJid6~j6GQ=lxVP%u+R=$LR3
zjg{&REBMXx-ZMDdRNxO+m9!*uc~2Z?d|3jn*UDzD)0B%fBgcDo4=sr2Rpm@@ddr8-
z3l<P|pN}iCQHHtd4EH-_QWIBADhu9v3$>0HfEaJ3cuw}yqev_%TDrZtpOntPA9^CO
zc3oQqNgDE+-^Q^6D6RTL+I-TRgiCSZ!vqll$YF4kPhU$QHC|)0vd@J$*O-;Mry?if
zCSnI~PV_2jp1jyX3nn!$q^YhX%LBEZ`e0XI_jG}3!_3kNhmPQA#kqM|f?j*eX?fnd
z-Y9)Rg5Ne3J|0vu*W^p8;KaZf#wwZiixFT^r)fKdy6$?GLOQbmYM_P=7PPIk=qXA$
z?gtkTNv_iG*($#_3qR0c;>gQr$ZpBnv>YeX@+Fg-JJ*sk*rBwax^Uc%vofA0!X4-8
z#6NNM9VVcV-0D4|%6<_HN-o>L7jeeL`qfOYNV<DQFD1_&DDfkk$Lx<}e+n1n8Rj76
zm$_N!S=w7Pb#hEO10`D<VJ65P{0g~IW74LB;m5EKez((+YWK%b=yi!xYju|ufQwd8
z!vQeIV$UK~G%ULy->=vq+@`kw<R}*_61p6=0hE7N$J0`3pexP5Q8BG11(MBt=E{!l
z2)17IvX1zo+gdT-;yS_Mh#oR_zWhMUGK>7_i|Bhb>qqdX4W+8_0YNkOreYCi=DtLa
zYwIeHWqL;3wP+tm=Q^%0o4D<Tt*u&hOFXtIMr%(*a`IX2dVR_a6ks(cJOA<LYP<d|
z3nhNJhoQ)l3gktgoyYm~!VKlsx;+~3-cJtq)p#Ev2Nr)b(|Rwol&Sfrwo`s6`(uq6
z(PnfHhDXO)hsLVnGg(&6V-I3Sq$E>em(1u8N7?^=Ius2_W7jf-QoyD&<<-a%#W#AS
z9r`kuFUU!ZIMz>7M$FhXnM)YqArtr9+AaiQSMM?y3uiC^KxHJ8R!nwaI-hg9osr<o
z!bf&|8mXS;e!NEcvTDAf!J;E59s>*3ezLMb^jR6z@+zSfw>ON@k5g(yn@+4jrGMxx
zQ>Pc5FJBq_Eb@Tg8d5(Ur5$q?OU6!C`tWChAeUORrouULt;}YJ_v8m@o#}hXCCM~G
zn-qJ?%WD}MZ4V)K;5>D4_qS8-=v0)mtH1KFZnKsSTtc|+j+wlQu{PD^^zTL4qd?LS
zsPtzNWSC1xH99-0mGj*XSmm0R_7)lAn})7p%Tt+O+!G;M9h7|~gTElkTZ7?cb++7~
z&MgQoKN1V2^Bq&bV3;_%hoyM8w$p9MnDQ3{9TN}}2g@)k$HbG-=&TkANB0u;WG;2c
z!9mt?*qFA72X3<(;xRh$E3tnkTA95q^ouwLriC#9p@?E(2O7S=gRXT1od=|=_0EsW
zUy}D~A0kx+u};Oh(b>-}$?PP#i{WGx>%e3g+!dv&Rz0P{184Ha<T=)ROA$*a4)Nti
zLmb6i@SeOhZF!X5Q|B+Y_8}L!ebU&Qq3Sis>PHYQJ7zJbx^E(xmwmyl)}wD1yu>Ue
zrclGW=?_P~bv5J-O)KmP;@drIjLr#;&0zibKXmcFQ0P}PzKy3(e72;YP>MH_i$<{q
z^k!uG+B%*}cpkyYTsI)~Zhl^7Lh~)hrrPoM{AP+Mhh@KqWTyIT8?e}`455g|9!sUc
zvl61n>ZY;8%aSR0hm@2VEHqh-Jmvxt!?fh|&`yfDCrNDrihA*&l*jNZ>rQ_s;=7nm
zBFFgc?kfLxcu5qCv534}qh7%M>^S7SPS~Uw|3=0l$SPt#Sa;0~{(OFwrj3X5oDk;~
z#bmxL>C=Gwj_J)!bI2MmCq3?9F>+?5<{9BucM5d)a##wcTrbz_)<-_8SWv;@r>*gg
z)u3F>w$H~BP<y)N)db)Z3z|M$^zishm^0aI7`P;+2g$Df<IH6)ljEn{*}Y|Nypri=
z`>2{G=-G@PH?^StF^;WYDT?NCFfwYu==8ARfu|0-&cpnES$C%S!YSW>+f1bi!L$4=
zOFPJZQ}!Nlfzd$H7>{T*`8*FhDcK=H4b>~-f{|KU6J#k06X#x>gydDyKX-f>oyH*Q
z{s>QiP_t`Tl$ZVa7SeysrdfOlPBOlWfb}-5VfRtmVl@FZX>A*Uw1$*w*4$ZS$fej}
zoPLSn5#pPQyIGr!o#sDM0*(%RBa~;u=bT#JvreTCQri=CEp&Y3nmUUGMJjq1%XYFm
zHfpgdGQ&(lzzovbhb$7=LR>I$XcXKL(`g+TKb1+upF~&&^URqZ)-uwK>=KMA%H+JA
z`zb`V!VIaW8$|i>A32Rpgq4{G^4|KzSuG%hCB0TrTRV2K-e=!z@}LF<Vlw%q)YjR~
z`o+#qM7r%p5FP`kY|8U71uQQdD4b@VxyTxj>jtuXkz1%f3DKiqQwn;d3^xDOC(Wzt
z9;`gKzg2n7qC6ntoZ6&77$Y${NrZITE$}tJJbisGV*SU$*&uX1=0m507|HoZEF4*5
z$sABO;)@;=bcO9puEx5|2!H50Ys-3N!Y!MnPNf|qF>O?_l7Ds}Y~7TGN^-b`n=2=W
z6IGf&!W}2b+}yn?TijUx{bkQZ_lO0L-ZKu0q5Vnv4KAiFiuP0*qC(G)Cc`n{2U;0I
zOgVzyo-Ok|c~28p+k9}zHg!)239ETK;)nOpOlSisS0lMPKjA4#&Ou<POF&*3k6<zQ
zuO(r%cC5US%={VB5V5G;B5Fxb`p+bi-aUkP_z3*cZ4Wt%wK1;XAAW_a)WO`?E1!zh
znD=yrIUin8{g?pPWeE$5p#z2|VIoJ-Qm==13yUESje;qsxNkyu^i`Eoha0fJ#aS$T
z+V1Y>dW+`89`p31&eOVfp5kOwxwX;m>+N{i{O<E+<~8{$V%{iw1_daAs_BiWh_!zV
zq;_?yV|Gp+Dssejp`d~20iooi5^F?qAo2x!DTNy}_2zVO)Z9ExPv`{tppn-%lV<Yd
z5y@jtF`)axmP#K}`AJkI*77&B5`z;E`56=S4ND}U+%Bkpu+JV{TBjJmD*HgyMy5a-
zFS$&Q+cu~mY}Gy5N+s^wa>scG_R`=>BU0`dnwu_~$%oSO3klqHkU!p^3^%iCBGTE1
z#K0Zlj~RcVci+D6DQG?_UNCPTt+nLIW+QGC6aOtjK#$B;Rd)Ktwq>EpC7Q5O2FnmW
z`Cv;G?Xw3Kjipg)R1AJpbgzxH#WdAoA)UH&jbr7km;VS#xd5`feiu@FR1?;>hIA2_
zbnSr3Ax&Cg5A@jzwFbb0LC9lMw`hdM569v$m@c@F^Ws4a=UnL)%#d3=mPv!sV@Hq{
zBJ|YLT9{=JZ;k1MA)Y%T4yLD)E`O}rB_<q+yMilF*b+U1#$+9_`4voVx7cFwB3hjy
zWb!EpTpQq%dtE89_PQnG9V55GXW!1yh%^qCxF@@X+OFW%Xhs7IP{}EH_mUcqxBq5z
zUv9wouvkHwOof>mzEIax)?GJI5$sH7vo-shYi>)~9_{9eSW(=nha?RR1KfV2hV?&I
zX){Nb@NTXi&4%SmytfXu1{<!GVmg$9I<wLh4QE}?k(34~mm8vz6&Mz^<7c<KHdZyn
zit^V3@it0QF?K|u6$Q$2v+rhlu2xEp30U%xF+b8_fDz18X;uDQ(qbWL%~IloV@MG>
zh2?Y+y!5b;Oka!??=#aQpY2XzEHOXiU7P8v#KoPxhmgydMI~zfL;qxrfaxV5Wd=2?
z$M_|sV{fzL?Sq>$*H5h<f)-NQpiy{}0(Bt1f^9eqk#kby6du+%eT{V$_d(LF)Q}?i
zO0`TMWTcA!uEEvD%S@enZE-gcr|oqP7YmU3NV&tor84<-HzwNfx}qHiCF77KJmRAU
zt4)qD6AR5u&LkEvcv8`4fHjFN{H21PFO>eShn--Up1G?<kCZe)zD^<l)TkSmo?dbz
z;*;~Hl7wvO2{ikhj>G=K#)zyfA@0I7_se`f#4(NSmEN&IQRcLh)@oPyitV|!xYk@2
zQ<STSDfMr@qkvVImNLYFB>?t6+?#o;b@#)qs544ebC%B~#JMXQt=PTwuv;td*wQR3
z?Zu3TXCVxkdJO89Unz3I78zS1K)KgiZ-xrY=COuf4)d2>SvIR22NkOA7{9+Y6-D+{
zacSbjVH-a)TQS3eB;vlb(>HGhNy<%|F^-!zL^kf-8fJ+vaW>x+>EgT5^Ijm(1=h+{
zxKZZKPf^5!8*7%x;Fwh#$qjDLBY79K##N<uTJe)zuX?e0X{EMx7dB?a6u?&f<1u>U
zRv_a!-fH%%XI>k8`1CogaB4p}<H$rp3FS5dqK9)4>BVovXV<?N_7l8>yWRHpt)WR!
z;UcJ$<C_ZRj_)tIG<`O;ywdOwW0lKbCMi9H_JUDGn%iAe1nUavTk%>Jm0TcP3wM~C
zB{60{IQcAw8ZhFvmjzt7y2i>EL}>VCv9CF*EJ^7v^i6~p0m}6skRjXFeEoGsm77z7
zIj_awHUZ1UFgz4u-2@sk;ue`$!1Eq+32j~srN^k@xbHGVL>C-r7HVv1?lqt2IdCD*
z)Ut^qgC_6o*Dac)d)iOm^gdo;Ly=rZ4Q}<=Gz8WW+cz_zKJLldAp@-D7NJ{EFw9uL
zFs&W!W?!8AOxUICMG3Z)=fq9SXoaB&Kb;d7NFTs|SWd`(BUd%CV)75@*&j6Arx8Wt
zn%Yh2+QePiIBA@Kut7%yC`L*gNBjZ8PlSh7#Z+&!K|i&pYxK#nsNHJzbU&QPG`sB<
z)n*-$7SXx)2vsT|j!V`ji{+;lwr|Gw(h)wbu)m2?MHL?7Rgl;_&Lv1DV{%r`-2B)+
zGB6Abr{36Ae^E1Un;chHR7GsNW#kUm=kMFr&l$hh&)L&<vf2OS`ZhjT+mLl3n-lWL
zcg_k%Xss`MNotm%J<d=|DT}$R(PQk<ZwV;OVuO`?$P{eOH`R(bq~t<2MrJ8{QHot=
zzzDtO84U|uw<l2f8V}Tnl<Fy5lK9vlkYoD{1|t{f=i0|<YZYj}-gkH?YAe$}deeNq
zF|6Wye`MQ&%0!kI>CfcH*V^;4Ci#=So-jNuHy5ua9^s69*y3tBgh)abgA*AeiZrTy
z@?%*E;$;E54c91RC|$e$YV(4ZF^wpM>i~w+)4*E6*l%05_tnPL96D!w7%gcTPd5!0
zRkTfEvqo^^5>u>^`A!V#WH80Xh=?IRKH>Dv<y)~geyso!v@B0=R#$9mEZm!DnO9de
z_jXoUe1bvM({s3;=S``;E3h6XB-{+y56jP$QUG7DeNc()WrZ^&6R4>rWtEt{L9}Kv
ziwWH6PWWiku3hmf#}!QzNZUBhN^EvNs+9gw^NG`Z{&T_i9%?!@pzqe!Al6_i+i<K@
z{?&=Cu1v)5UB($mtOn<HzLJZ&nt7UEgckk+^{Q}cd0l7|n-wp~+g>6j&8@s~?no}@
zjnw4h``*b4wY+oUJdWr}O0=~M7*#}Qm|?_RsW{t>=sC1f+A6jzdBKK-LUGMr!6Fod
zdF7s>aEz1xm-5IC#FuDQ8F)9QW1GgDk=wicuZTuvFgTKoyY{M5so?ZwJD>({N+QgV
z6JA3>d&VTz7NqRG{Hhw^CR|@5{g9S6igvEk0AAY>x=!lzd^(%*&9{{UD=|uD<AB9G
zCc>sarGSgha04Z1MWG<PBUM+Iu)B6Qdk*G7Y%A02yI_>O_(5fT9U~%{<7liaAYLOO
zPSr3B*>(rkJ+PSb;LV|qJ6tB`No&L;Pqmt&WjZN!2CMHggS=M$3$2|(k?%CUDcCdz
za9Vn-I@d&R7P?vM*PeM;@sUrF4yO?#X55y*-8ZFV6KMv?T||33?Seg@_MJ$%h-2FM
z_l7{K*hE!jAZ7I|J@sheVS*qxXK@Jn_*8?5YN7gxQ$(~%;?M&Y8K_zVmxkF>saMRy
zAeBGdO*qm=B{0zlz4$HB?#inb552j*N`s!y^N}2kkl9ONvUdzZ8A<cE1`fpfrI8o2
zZq+L4Y&%C4k_L+ov~I*DnF&#1Uo#hw{Ee0NPD9o3K6McHu1&$HG~FIFFMq2v5SZpC
zoo<i74ADvXon5j*k+H}A)ccuUT1bu1KaV46LT(u9c7O8&k*!l&#PS!}mbRme|GJH$
z=bhSN7zFLpY2;%nNcv!Ha&&a-jY|6qd1>0v+-kr_e3(e}VA_Ts!q-LJE~-h6WB@=w
zgU+{WQd>SwtpQ)HOy>>K61LjI_#b+HdGz`$sZ6Zy@4uqD@CjZXFojmFTlJ-3#yc&^
zvh9+(NB*+sjc*NCTIFge%K?@%M579}(B?+ZO<Z~0wsDkmyVs3J`+Pa)t9ybbv?p=?
z+^6|qi2yAugHt=Mjc1cV;yTZezTK1}KJ$1|_-lX4e^qwKaw?c3HQBM=bV!_X?s&L)
zUY@6S_MZo-g)fq3kO#i7Xp{*U?BJrB1h-Gd#WIf=ck9o&QB6V7@73lXuxd?hn-xpk
z1h}$B#m~`gr(XP;Y|{-kh37y`oaXkSjI25enVuQg1#+44^Zb1ZAq2r@HybSrumZpM
z3O6km+HxFql(JPV@ntgT+Y3zqOJ!ajZeM2MXk4vF-^K5tGu+HMP5Ig%zj_S-U~SpG
zt<P=v#Gk0Jky~|A)Ii;IA|_=8JaP%_IeRCxY4K<9<Gqk&rc)UGQued=hh1}a0Xj9I
zG!=H_AlNvx4mz<@VoCH(a}MWwvCKUfn)nL&hB#|hL_adzYnE!bD5SFUb4md4lD>BR
z^E$l~b9;81=4e&oDsk6N_kq256pvK=BJs1l$RGzo{kLtAnM98Xy!Q6->ryZ7AT(qZ
z_M`DaW|%LK7sxx77C-9120oOH&I25VD!+D*kk2u6sx!q?<gV;m%c^A|d)+X+EHI_5
zS$4|p9888kM#bBx+#e(&@GXsLh(*)kx7(8T-(vYE!4T?!kE)`TE-7*ruBAD`M3Amq
zJ2<6HEJ^X~ecpZD6XUF>xMxia(>kv)WU2L8@395K){P7S%@8N-DkbvI+Vy&t?4bHr
z)bDl10%*nE(qlEFCQ3z_H*ArX*n^nac^M@#t=%Er4n}=scLKYSuOLM(9;@5y(1dT{
zJ$p#nxFaSWh4piY#qoDsc#vAI5=Kz#u~vG9R$XS^dShkTpEoHj`}+iC514-u_wdp-
zA7{oUVb4}0Lh{}$u~z^M3!+X<jiR-b4<xW1Gou?UQX3*nRtnunJ`V~QX72K!IgEN|
zjs<fBdzERnP=HInzbh>5ZywPMTzvdr8xRG`3Y`=7V!_REcoQ9Klj3tV3Kf)|cJbX1
zp&}op0vJ~H&QjNc-u!zqD#NrFI~0_}tmCI9@c*scUonVFbhD~5GQ6P^Fmq+gJ(15(
zx<ChIo~zjO7!6Gp-;cDLXz(j+WhxqcHQj0XU+XE;1l)wM4_~i7Vu`-8fw;}JAw$-;
zl)VHMAwR>!f?Iayx~N1MuCd+Df}Z_rddCX2C3uh2UU(JsO@79UeP*^{L^(8QM!0V)
zNM81Fy;4|a_^G&P3`Zntm_#e%EEe5wxcSeSy9j1%nuy5d8N<PnuMxi+YzI-fM?B}(
z9&O=_E+eNCR5znr1XH`!Y-4<Fs{j|!n-rLEn_OGn=z4YL@Ann><{UgsJM`ZJK(n{m
z0o6#M@j)7%HIxt4@*1vT+s*-I(?_sC{5Ce0vU>J+JX_O!ZJm}5zk)i61#Kg9E_ukN
zcP>BA+2-uZIdL36(Tv?HMG2Gdl`dEZbKg>eYDNNIC(Nc-K%g%o_P%%aO;_b_I;z(>
zte47gjM+lki6`asb&08)?eY+fq}VYQqDQ>4Ud%@-zzWkWvtSy{)=U^XKJDZ}3v*qw
z&^tm^>+|lPjQYkpjVN0+E*kIkBaFY*9~{&>-`l+*U5)W_R4Q<oqlrasWcj*nD!Ve?
zQz@3U>xOwDd(3N?pU>oh!Ns0Arob*2Vfu>i@1>vKaaEy0w%2H(0a!y?>q}MsJx+Dl
zW3X#7<RsH_NRayTKqp?t-I~;CAV(&Lt7^;wQ7uRfjC@S`3md#w`!HUCX{6R~|D7Y2
z_FcH2gQX&bdV}FM7&AptYz1So34PXsee=uzHV<30^o$_Sc+E<RMvb9Ugw$@aMqWH;
zypB~5i~7>KOi{(6%Y9XyUqkVyB4H|1F;3ULQ5p<w1*VKUtZC{$sltA?agyj(rSq4|
zi70$&JR{LQsSjOmLN;G>3jCp0W8js-MT77Ge;G+z_p~279?Pr0VUZMz$p%i;IU<t=
z{=nz_{u=%_7#qj`24iDlW?=gtT8)W-k&~U1^MB<3n`2{Q{Ev70{|R+Rw*Wiq-fYt0
zuvl0dkF;*An=N5b%c)s!Ng5Y5EU}1TZ?$e<#5gSe+}gE$ef=@cVp>IaoVpx&+VUj@
zib$piu7j9>Bm-=4G1fCMJpqZFsA{AGPET7$Pfu6dqo7!#$*uPLMIBJE_`}7b5oquB
z!HD4chsxP8F$$Nlb9=<o3XE=G^$&s>92}b-9GaSe)iW_aea8`w2cQ#}of{bf#hZhS
z`&$RZ+M^T_aJzv+Gdq>F8ULQ43fRa18yp-Q6#k`g3#@~k8yH$!K*zH?Gl6e*=U7-<
zz$$=ZY6IkK|3w96?rl#@#HK||tgNIg%#S7@9vhHJ2*caA*fW8b1K<Y0(Fq{;-vt9g
zg|hYgF&PIJ0hDKGbNmvkgJy7bU~vHe+5uTX8|T*?Wra1>K+Xf+yK)GqYQg1OfH(h)
zY24xid-nHP0UH>ae8BJY_4pxcuK!ML%&%jZ7@J#M*&14bF|^c!0ilo{W8`dSp96-r
zlJ&vD*5C@-{f5$oqOFFC*@68<ZX*y7R>LrOOW*HZaAI+5taEZQacOD%$t7H{&uFKN
z*vN_qvatzhlZ&_SJw#}70L1J~-p)SDo7Y$i*0$#Uft8}Ql9l!)F*vjuE48)MyMakX
z{cIh}g1m{FfjI-&GcYqdJ=6pGzXIfEHE=H3d9u23@AoCs^o`hIx_fN~TmzKaNdolH
z$^_W?+2_WF(h2w{1u@TWJ=u-;5p$rS`A38_AooL9m>EL9h5g9Fu>64cvF;5F!sgF>
zvw6_~obL7gbzk(xq(P3aZvMo5^nFf|RF{+z)r!8!kNz!0g!^v;<icD}1AwW)nE_1Q
z5gvJZJ^b2XkqSrog*~LzHP=u=^gqcr+nIjmh3o$E0xbXO!D03LIZ^uWmZCxA|1uwQ
zP2)_D+QFy(ohkmMP5tc!|CxRC!G8R~Nepgme(GCZ`d$3-TMA=CTfO;Vcf-~+Eo}jf
z2kox*zxria0{v-fdE`fgG|l|2N^xWM(gxPoWW4xIS{zUq9)PhZHrg|>{h4e1CRF|H
zGFd@u=Oc|T9KN*x8Ms@`{4Ms>q&BQ<tsK0wCH^S^?y;Tq#i6vZf@OT`F{;7I`4<EQ
z6>x8BC+#7C_a~j$pv(H({$UvbAQ#b&U(A5sr{=QvqZ|Xgbrogf*f~9EKf@n_FhqO{
z>Hv@}@P~u<ll<ZjkH8otz6WUl$Rzq9Q2R?>!W)4zOneJ&1CWLM5!|w)mGGa>$e+L)
z0W(zm3fj?F`ps)+WBnIQwEhHn>=dzo!5eyV%q@)H*y{V}bN<%5C1ZZ`+5L|G2x8fD
z7{@<r2>*x;&Hrc{8a{?TyOd?f{07>-1N<;{3%|@|elfaB%s#<;GqQd`H~fU7_}|+e
z@W%&Uu{*y<{<Ps8UEiaAXNIro-^DC`$-mpsvbwf1fNlO7-IIP?2%fZuQ~xW5r1b;3
zM`iSb?oFLGqu<e;atO~nmQ{7Lb^Kf6Cyn+@p3ZJQ?^m&x*zi^4OWfr3MX;d-Ec=%n
zmvgeG6!uq1^`*URm(v39vl7uZ$C&h^e_w;-w-RweYcs~*@GB;e)^|DhV0QcNdiQ%4
z+-8ka1B*NJSLn|DEDvFaj+K<u0eoL~+HJaj4D~s65Hs{a|E?yJ*0-<CtMhmHjh*-P
zUp)>yzd{eE7XYsBp&$J=|AwX^ZI|p{7x_M2#J`}wmlaT;9sg1LC?^8rUV^F3{MIfk
zLvQua9marvk-9S~SYUIaVXkN3B<UoXm(%_(Vb}-719ZtLHV&8iLej%?x#BY}3<b21
zlQnUA@}GICWNz9AXk_)DqtLOzeJ@D8<OT}Jn@^stZ;SVBf!1Jugu)3{chfP&&!9iE
zE#iwe+IAa{664#ok9w?SG~db_D8kL2$+3P9FrvANt2A(w&B(xnG_;!?*pJh7S^t`|
zAJmO9=A7+!#}=$Za`V_UjBm|()u@*>aJlU#9QY3qgnosvGm4*4I3-dCa^GkubuP5+
ztxoAlW(AAoH4Oy}c?@RCTNNUjZLWVWnHt}7Ov%|H5kx}v!g`bLTbdDt_X1Q9n>tnb
zk#;Vqvryyj_q!^_Ew^IC$|_8u29V~K+tmAE3R6E4^p(rbjB|c2_Z9GmY$T+nb_|Z@
zUCY|c9>R9vLCk7tnh#Gm5vixTF@q@;Oy!CYa5Dw|!JvGSrjgu|Qw$mS&iO+pfb*o*
z0GXZ2Z!7HV6N8lDbm*Zo?xwt)LG7`dDV){lE;s}019PJ4#rPIy=b`UsHbr2Ygeshw
zhP#EH)r=@nKCJ*<nFCFw&$3fBV2nuZM4TM9aiGzCPC##zkaoG9Re=#Z18vjZc|2mu
zvr?^SA8|aUNV>)nV~W9F{(y@B1$nvK%D}bSPELtFGr$XCy`81h8WIIDW?AY8dK~Pj
zemipEpe~Vw5EDk)wwZVBVJGC2N3_SUvy2j1RYLMu$GM{Lb}XhzMky+w(oMci;ys3W
z(q7Vqqq-igzC#*@{8>I5*Vw3c7l8?ni)h9ajBjg)k}TQbTQ9e}4<HYyt9E?}oi+fj
z^76BG$};hE$lm_btx%rcT>{xZ3YQ9M{*{qr>bptvZJ`suMSU>BT4*l4rP65=xo0&l
zg>U!eVR)1ahAGX7!4$T?)__t_kV@$wQ<n&P;7W_P={QLseHOskB2hRgSMCaZh~jV8
z5hxRe&i2;57Eb@1dqeh;&z9s=woUYyZ2dWTzd&r~Mq5E~ir64|O0svXHdxnhX<AaO
zYlHUrCs8O9#1Gbwg`Y1r7-;h}r(_7TJW8fto=@Enah3qWc<(D(BDCY4fgqMBSZfxn
zbzOm)f(e}DKm}ZM{dyc2d-M$@ep<)4z`NkU!cEQ^m1mDSp~4kR!f1CYMKzFsaphTn
zC3dU&a|y3>iob;~9T1ksa{q6Cj>yQ6?j=yx>%@+?nX}5OTYp>!n}uJ03RbI*=Q*gR
zuC8L@ogv)n{veY20|Hvlj|5$c`{E0=EenaCdy3{D#eeBN2W1_Ji3s0Z%PFZXsG50-
zaLc%}lL8}IluIoqS=sdFxcM!H8*X7cDvl8`WVZ7sBTr6x3a^W(3p&Cz^tZ-&DlN0g
zZbd%b$7?jfeflc+B<+#u?U7S!8kM+#E;sv%Bf^QxZRbC(8Ru)jS&2<2Kzn?criGGL
za}-rGJ1>YO=XpI*xG^`>urN=Aq-pCQ9AYP}B7w-HLa0*{HKUAGsgk24WqhIrA0D47
z69cK9y_wrS*37>sD8cQ=y}rGX_$j#>#VkT>1+SouiMajW^DF`W2h=JaP8{pmd-L`@
zrrhSU+9uKPF5U3sgnBN%G3gb)=c6fdL-arU&@nr9m)RM|Y${6rWZSXmHy!>>p(@;t
zR`TnXgtJVF^Kdp(lxSMY-RT%;RLjOrM11?Lr11<HRhy%rSZ`Mimh?g}5s=_sJ^t)?
zhA}tGlK`IE3He)c+pixAPbxndIHOM6TARkpz{$=vK-JGV{NkCggdF%s5o<Zp{05IJ
z&3FU!L|FrA@NG^zV6N0vfMBF>Qb7*KR-DST+T;=#@g>%kjYK>*QXYN>5U}z?w{r2^
zt>V0CRJ_Ym9ygQ)0Er5kct^U?Cbo11v=>p_WZ>e*F@77*U@TU1VJZhGDjT(Eiga}4
z0t<YY#W(}cN2FEcbQwPvbImqoiioDu2c&-xOXZQ{j5iNyhB=P;X%S}7XLWmKnop`8
zaBls|Ni8(q!Hp^YvE(5!Akv`Fhp#G{03$`NujPiycjs2Q!WfW!?~|SZ#|JM9XQj$4
zifj51d~L*?cjNfoj-M%KzAILJtj?2Up{PnGoRh|rKuPTca@Gb;<V4b2Y+|Wtd3o{I
zKhNEju>X`FHV+x`NDrWY@Mb!%d$XIR#p<EnZ3Tr%)Rcq!z4U{~Zg(Ot`x`;&e0DSb
zv>q~`u+)&%485vEocT>OyOhw51iQAoB>CIA+(bD(H;wUG2NfE=>S|M*st{L__53<O
zPIrd@!_JRx^iuDEaJ^@c@iLLJ8|V%L3t`Tyc^?ey0w&v>96p6g*R!qNm9C^h>5}l;
zFN@MYSviX^eDWqW!!4#<KZ_PBjZZE<W3Io2-g(rg#CE^bshSLNEiCS7k6U6wWr+z3
zRVkUM%<MGg+Z>$I<`6;g+`>SzP9V-9tRWJlta-+zwku9Bc}snNYY*^^Wo>NKRx(;l
zSX424q!yhO*s^%ItD8Q&?Z#`T19h1Xfho>58rLYSsqiR4hPf{_bG#i`A|~oZAK$kj
zp_McG^!vHR3DRx?s<4AR^-cls72iu}=0ydsy^6a@(BV6pvqzv!1MdSde@kmv%edXk
zr@u5HM?R%}H{QC$rHVi!83zYBgy{$&d##jL^(o%2?wVcCuFBEI`dQM*T!AUMdl|l_
zfb{GcmojK}wQ1xy``9N(uaH8HZtortQmL|M41vR(%)6IoU95JsT#OK1YiXv0>XGrx
zm(AwXbq!b@Ws8}?I8xBEsQ@1Ary+;MEY%OZB$p(@y<I0i&fBk@p>%fa7n)m14xZIG
zhpWWY;gA>>ARM37Gm}WK?AYhvf660*5v#Em$mKO*)Y@|}>#{H8+R!EOYe7C{FMN2x
zuE;3&1!`8VI&9;Crz>Is%bkGREi!44Y>&#A!6~l*n$WZ67G7+zZu>6N6v&$-TqbzD
z?Uf>Lbm+Jdn;?Yw%64d;QyI9z@BbqdHrf6~s6{sNJaeREKqTy>+6T#MPzKM6Os@K$
z$vvI8eP>J7zoxn8hlc8hE44>b0G(~E)3A6{oO|*B#?^^<XqDMS?cY&PN^jnZ!VA#{
zIbTy89@M2pi=v>iL#%Rq8}%;mtqTWKWHXQ{LMU0@ZDfkTK9kZ%S&`?M7+ZCz9%h_z
z{-WHBBSXoV*6T_JyI<EAd(2hEYq<05bNp2CHza64Y_cE_D#s}}v8E@c?4Z^xZvy+q
zd55Y#!St-Uu(sc6B#fQ2`lYEfP=Nbbs5E7%0m-_hRE+oc&`5n;ebo<$;GPuIc|&eC
zqC&G)N1X%ng7(Km`1W=S8VH6{g>15iplQ~wTWWBnG<O)=gbhZQ0oLgEoRe$43f#5U
zL4!bqB(y<m6-dFa*&8G6Umohm*69__mYD)`n<bPKmRnwd4)9Y##}G=>+j1x#-*uCj
zyIQ2p+rKFI`c1OpH_ZsWM|zcuvNl<-ujH@#2)--~xS8?BOsMU#K`M#S!9(Mva%n=;
zy7IfZ6XDi2>IKXzs}=hCeCW(k4O!Goy_UhRMg-`%^wM278U}dcxjWUJDPv?#t!8Y0
zN=@yezXn^SsyOO9gJU18DUXpv*Y;LPZ^>W9H~*^vDrpmr?VA<E#1Iq8&D%NKH<T0+
zjUeW2h%v-u_2Fm5$wRzhG~ODt!`J}L;-o6cjAxd)+*XO3F;SR&*!pn~TMf33iQQkh
zPEs86x$oy#PudnR=UTlx&^ttu=&sPGK2&5y$wYRX`5Z7Ug+;?UJX77O`<TCt+YkL9
z*=}zFWwW1{D&R1yjUr*NuXoewLb_`S-d1(-p$l{(SfskE5hQX7LxsGHNNUoNNWX)}
zA|^osMo?SBmy;e@gKZfClDSLXUjHc$bYkrB9kk$Ed7za>nla3`C`f9I&~c*C<GtCj
zk-CVNOS2N*Yaod$$-!`<*nUXffNXS}XpZF3U*TpF%oSrvSJY4IG^AQ0=7h9Vw{eIg
zli+$~`*=dCihnwHG*SrVU2j)k&{#eaYlp$pa^0~=6`6b~4?jn&49C#=<8b^c&Eu|1
z8PT31)Ytj3^|^D#JfZ;t<1KAL>cHD;J5HErBycZsV~iX2njv_2mWWnL>bJ|cHkbP_
zX69^O_I%)b3{P?vG~M#r3(y=Dr458G0M(v$3^PIbxia2D{iD+uzKfLKk{g6lfN>0O
zok*a>&wpO4e|`>1n_)P-@@Z`NH2Nrn4YwqdlQIz%TASqz;Dybh9$v}I+6O^~ulA$Z
z@_`$m{yXHBT|!)pchT2(pFo)bFN%~7$zS`9avQtInO2uB$iuKb*#jD>$RG`SAJt+=
zOSvI5lKMifSuW3<Yf^k~{5ZOPut9gt{>iC65z$2Adj;SSdr;cH=AV08mq-2dTaU=T
zH$YS^xgr=>H@bKw1cDPPZ;TymN|_>=qK5?~)l}A(SxXv1Y5@RGam%p2M&U5&=x5Cf
zK-6Q|nS!<oMO2zd!OqJptJ=sZTIun7e!X_nPZKaM2PTsYO=?Mu^$Xldn)a6-nzgt|
zl{wp=RKmePk5p&JMdmew2&ajaxH|l*5Ng^68m}$YR+vc;Yfce9o}OyPa0T{O!PVP_
z<pg+?(n>68LiQHnxhsTp-b;})vI;O11%q~YAE~RAS2`NlG4(|Yp1Xvz#z9GHg!u_<
zya~VX$J}pCglQXFC;dMtJEtC97+}rrwr$(CZQHhO@3w8*wvFA!+qP}H`+QfElg!*q
z>MvAMNmV^-b+9sN=;d<Qrz*FaZVyXj>dKAv_owK)K*ba@<!&Y3jWb$aIeguj>1<%i
zN~%RMXa1s9(fvH(&5xqT;A{)X5dRgl&^ffh(z#7FDrJo9_Ss~=9c9H6Z)1|`+vHMp
z{=3leHKqGTo?OYX>FqqW;HdP=UTJE@Y<<k1TG?|*It_a-A@^)?Tb}(fMqZouVaey&
zpXmiXwcw9jd25jvrCi?-T+B4`@d}sd3sKl=lHQl!Zknb0kYN4orZK)Zj$t&JkX|V|
zBk<-@at~2?z>CtB2fOO34@staVA`v|QB(0~G9Zca!WIX~)dFr6v^t?;Fec3Nmkm9c
z4rf|n&Du+w9;d-eOQZu)9jirAO6QdS)83bCz1C;)ldX1%&Gjnt4NSX-`&rg-diG8b
zVJBelOL74kKv;dxYO;BA15}u_x$YObwa@JJOg(`$yR^C1mmOEUxE+4vrRKqY3G`cc
zh$)rZhy2y8LO+uSR=;F+<1xCIXLdpDS5WjzR2VY$it!0$NjnIA8XSucF16Dz6OA7~
zaJ2_pslbiectJrAgJ&ojfr7v3&51Kiyl{i+4{fa@2WJb+sYVdb&fl_bI6ks##3b7c
zwvDW9J0}BGJMx|#2f?qyR>_EO_T}wf_;A^7BwCEEwta(agQwNv9zZ;{FFo)PRPbyg
z|D<D9KV#IZFVb4V65eMDKCSmnEVDq;grc$p`!yy0G`_;M1@7~vktV&#_$|RC<iKOu
z#ka`Jg74xy6rQB-s8`7H?h_2wTWKz}j>8}4d<MMwQ@rBA1Au?A7$UPR8v?r2u0Wqf
z^Vh59*-pPsw)m%FsSQsV9%9^Y?`cw;E*oK}3QeQ|1T`dI0Vx4%=JbTgszVoM1{O?r
zqI1Z*!7@5q-%$0*$=h__AymO<-BcPzFyWy)1CD}?3ewt6xJ7(_{R#58y(^_c(ch+3
z<T#F&F6Du_>f@7%;+7Ebg19NHL2w)8Vz(SsW)o2NHp1iHw#%YFpFQz#*tE0ZfwUI5
zi(tR!O92{q`doLAf$3sTc2z*%tKblc@|!}n>G!ZOaL0>KYx##sxZ9f+c+~LXGs4r|
zKb=OOVyTe`iC;MHU*2eGju9ezR{OEy%um6*iT_BQM}0lc!%n6-2&(Kxon3{AEOj#-
zT@r<I>vOn5DZWOcl!#?wklg1M#fUqsb8-sEdwhaL6L`>{;4b7S`rspm@@fHayea;c
z4%qgW^K;(N#W9mvJ{knOG)l}&@I|_IKLeOa@Wj4&eOmQ^-4iA+vzJBNB}WSK*-m+4
z59Zi@obSWnPiqyeQP2?(JDicf>oYW;;qf(HdQMkl%IC!f%qI+s&)gJO$A1eprd6Ml
zX$V3#hu+?x=m$-*`hu!isWv-oBhr$jjpzX)3XO<p{^aWA7VkShmp=ctiTfpJ@XzB{
z@5|mxGm{f^>JR7QUC*M$2u9<hla;_R1MHJrWnGg2leE>&L~gWJNNU5#xPrM_^d!j2
z@^sJy<An36x1ryb_Mu`r!YFU4H3{u9v**gyQRQW!*z#>LDrD&oll<zwUB5&iwmBCk
zZ*8AD8o-;PBFgr0dG-WTNX^0zrG_H$m6c0<b)VaNa2;N%49=t9-xNjA@q~@a6hxqH
zI)vKZ;<JHYK?wz9aQ$VSgK@q(8GDys>4O^ia(iQuVHwjk8qzXT5~jBk#!BH4Kv(>&
zK>L9po+>#O5ldfhqGS&I6_9{)_VsM5rp7tz&R9w0b_DKE&$)JQ7N~>}&xAW)t6QEP
z|EfPDuHL|ir8yRy2B|*z6v~xNDeK@dZ(HM8#u4jv5o!{iQ?#*)3TaeXIi~!>j8O2$
zRDF5o$lR7S?;iVI=PRrt?N9*Q++)|3%MUG!Z4u|ceZ`iyr*e{ah4VCuX^Mq9DdK0o
zYKk{0eJNR3y?KN;Zv|sM#4UtQVZHTt&<MpJjV`J0Gy!08)$d^^xGe!Z-B!&Zn#EpM
z%!fl9Y>?P|Y86u8MTR;Ww-(-S4GPe52N@_ud#lUsciMLg)QSV%@pYNmE^Td8cpYJ2
z<;m$7wQ}&mnzm2`->~hoXM&Q?w)K)#@%PW)g+fWf;}<TJIe<Iv5i6lj8jc`^o?z^c
zc*NkKW-;Ct!1Rvhe@#`A2b0lYVS6Ei?}rgQ%Y&R*mOv5>HrSuCA`@mgayZnH2$Hu1
z!$P2IRW&;^PZGv-ZQ;owOFIFbU9G`5JZ*IKxevp#i7ONVJ0pDW*p!f@+qhYhsy~TR
zi0EU6(EV2-9Y0Qg5NPL}&$-#H>I^Bg$G^<1ncZ$wZ^+i7(dD%2u7(e|BmcCeKa-W7
zly}1PqQ-ZaxQeu6gqdG|=-#JG;w1>*{lk8Oc|Dz|=k^XcP-~e<>p6&r_z)n*Aae!w
z^V3A{$tz_-M^BGJ|4b#qRUz+V7HiP^NWw7K{kQZOVa$~S6~|yVpR%PcqQdzuWDCsQ
zA0(cBiu^k7a^lO}y}*5~t*h8VwQ3y(rdL)^Mg~5@Ikc{Wr(iH9LV68;Wmu8Wsp4wo
zf%1p}ws6E<avy~~5q*@y5c=^o%%lPIuZ#B?td0S3Jg<c5WYgh7+{YC2-fX=!desfJ
zSe!akx|A~5i{Wz(uVFxT1~!s_iC#v6^1;PO9Xa>H#saQsMJlE!O8PHveKtQKa$l-Q
z9C(?}p!8t<R!{qJGlW%LyHtxGr?c*1_O3$P(yf)U=_xmsD5Uwl;e9eD=+t2XW7Un-
zCDYYRWt9(EK}o+~&@q92J-DTcdb0|>s^S8DT!$Jc8m|qta~f0Dlb!kjRN~cKIWFYo
zzM9eP)R0DP1p9*$XKl<hSUa=ObtQn!%AMGnqwo|6F&?pItVDD?rYv(m!jJTJfArmW
zG6Ed1LscRx)neqXdz<ke%woo86n$$@45xH0#jf3bU;NAcOd?^rwNaD`X_w>a<geC|
zXK#-#5W*!c7$@nys1G&nd)B$^4oXu9{1@N@xHNR^pDHUDnOFgb$rh)fN#5Bnd?qkA
z(0yu4+#ROOeTRsh!@S00r|V!CswOopdsGUPuC?a-SWqn$g|;%Y(e6R{$_@D_Dg~@O
z55i3km6nxdwsb9G0~o`Bv*SoodX<TCxG1Hr?X&$Zyz!OQnI3A-Sb3P)FYQLHdY?3d
zM!P=$Bw~D&^m>QSNV9uhrzUI#5<Q2EG7ty`V9_sm^rFTK<4V?8q@$!SZL_oxO}gZi
zxPKfwTi)xHTT6J)6V;^o7Iv?-bAjlX9B2B<YdkldGCLHxMO^&#(udJft3@44*B0Op
z>_<-jy2QL;;LQ{-M>8=i;f=Un*vXLy^{_>LA1$nDtG4-Hw5Fk>ocU)JN221Kfx1zp
zCr6Y7q=Nb^G6`0It_drBzZ=-P$$2f{JL2D?p9DsAk4s!-j_vun7>&!Mj{O(io|iO<
z@bW(*uR~SGTO~R}z4C7mB4u>qrLLScRDl+Zv0&XqY@d;;e(^JFmlfr;QFVt5n&}E+
zh1*pXU~)7LpH3AY9O2;Hc&RbcTh{H@hc1f?DSjOvgf%tFHOPN$8vc}=)ay1TI&d_@
z^y$X{twRRw*7Q48Bm5+wiiCt+wz`G(Gh}WA_jGJl6~KsIZ8VPL+}fRGsK@1!{Oy+U
zzA^Rcllh6}>mdeqFRdew+TFABb-^oo|6;7-yX@(b8SP~)aWlw5u_v5eX#xRV2zSVD
zqD^tX22Vc|1hbTrOo!9~D=(Xx&mgaYFm0-4r|=-_Z(Il~;5QuN2mv_H<C0#j(Q-R`
z97OJT+b5+R*t6<@6<^5ZrX=m_VwXB&h&yKabG+c7a*jk6PK)ULSjKnhF-V^PgDY~5
zS5}6T!@};&stW)8#`+Wld1}qQQ>8kSn!8LR4paQZ2U|>C6c^QS;)K@EQO@}8RPU3s
zbES$^$q{jd{VnJ^@+~C!%}y^N5IL%2l}Se?2TXd>EC#T`JYla|`2Z&2%Rf#T&*xtz
zQ4}mzg|cBZq+Nu*CAxjX+6Bk2=nKh8kw4#YlQ^!y4G6G1URNVbp4<dj#QdY!_UhZB
zK9uSxlXH`as%QCl6}H7n&g1#ytKZ!a`XbIAP96ggK+}j1U&F`U0?BwV`OMdF^q|ej
z^pO>Up-JKrzv~5hyX5$x+rfVyHyf1nmQ7p2^dI6nq)$U7bUh^)EpCPUK4n>RCOs9S
zn;BbF(Cu0U<>sMye4S;L5#Pj{GeTM0Bz`l_axk`g_c6|Z1jNvMQcHOK;loLYc=Svo
zQY0Ak6Vp4PdBQ#aWAS^}!FH$Lsa|IL6jav67Lm^8fuBDhO{D`ON-d$f1unfM-%1{)
zzk`&mpwa^?_@V+{<IazWvyVcF5E{wJ#0W30f0Z*{E5XoN)(a3<h55XoX4Z^Ad*{Kh
zqKsC;-Jso|L!1;|P_uY(78#S%(L;)bn5Ce5LqpVUsD5(<)0uLy<-%du`g+0^a+bcw
zZW+$Gk1I)nvsMGj?1qW9(d%A;$EyZ5=&8xHIbkU^ijTek*r~*?)-@B+k+9CoFiZTi
z`SXUh<rr}_u2w5x$Aw&ck~=Hgw>K+fukQ%en)7m8*=kvi8y~FEPm{jA{u`8>q&bcD
z^~leZ+cDEgVe;Fw<&^*c7U6e=`0{)+?`0-788YEb#%1^H#CzygJqSgV+Dm*|z<7LJ
z$=4sWr<oiF4>fmMWD#egK<-zGx1jLzFm(GOPiSMUE@Z~1+EXIuj0kb;<!5cHrsb?u
zyFp-4Y;C!Qk(Ho#9Lj{cc;QfXB}Nz-k8M~b25JgQPaw*uYb`hn{b$xG+Yq0+8=bFm
z7(h(0Ke)NW+5%WfW)q?BYVG_eo%Ou13Tf|ik43n3+Qq*b8DH<IhwnBEvkG{#G3!lH
zT?fSc%okBW9K7J{QW74+v{z}$b>d50O)KD!<mD;AW=(tnA~lP55gyx5E*N6NJoOi%
zx_C8P=z|TkT+_fy)(RiXG)qK@88(AYatzcbOfdrIAPRsz*)lh-+^yN}2wn>#hsZ!L
z<gBq_;#&6qi%qKgUHW<EQKcG`+Q92;uzQGwITnw0=l_xC(u@037;S7oA>Z!*v9s=Q
zy9Dy;Cr=%m+ecF!DrUN{3Ycij+lw`0X7ICNEBmcP?>u{LE%c-lT9xf+J=K@_YF;Ai
zn-E=ae`x6{Q{%R;qQez#3>aozku;f$Lmg{@TPqK@oh|hs3!j}~Dc@=4JFikBcXGGi
zBrJzAzX1K^8f(q5?y_P`8dvn?^`2S+or-bi8N}fS13|rK>Mg4BSm12@)1Om4IQ(oQ
z+7j2f+zGPe7>05l&0QEVNHDEgYibc(w9`K9^NsMOTB9{SW6<F4wAV`QcDG=eZ+N>t
zn&_&n#;<k+GmE4RD~$*_7kryI6uke};@B;$V_Cr4)CnnpFtAKiRHp!`kL<1NzV^T}
z9IR<TeJ&?~!5pPt(@l@e2B9Ghv@s%6H{T?6N4y?1=z8aHL;6=VlyW;Vpy`bA<cT#g
zF9#2)g7vggVZTkx_yubVW;>1|d*zR|zQ$w)IQMsh7k{L#N`uy<T<7F}&H0>U6!6-d
ztwzJ_hxe)TRDkjsrW5)Ba@sNgr&8`YL=ts}GJalNeL{4YZt!-BvFP^hxK&XOPH?5e
zyk;(LgLf=ecd0QWVpZplw{f=qPvz!8iq;0!{toyF)Om7%0z@)Bz>?}}Bdg!|cCnVi
zB-<-|-yo(pp=GLiM>x&M{9(WYicSb+4Kjg{i|_Z2w8LG=k6lpC*ycbJ$IQPR9s_l%
zYz8FGv{tJ@Cnk}KwG(xEB85YLFG`~DKKZ@%{kg7sG;a*qLZnP{)r3mfO^R?YavLM@
zizeQbx6`l@BS<lObMQthToWy*b35Z(&y66;vrUr$!PlRgnB4!DX2I~tS+>O9n6t&%
z3?#Yo+sweHFLC<fUji$LhyF{HU2+AQv2eTgHjs3@Y(_K4=a6emF+=EM>9TOVzCpxC
zH?6R7>5QVXiKSdOzo#XMQ;<trjON`TO?&jr{DKYPlW+F|6&LVX0Ewj1RoyFLN*R7$
zCF;^l6v?8=qu9=-NDs5R#D^Gu3~(C?JKtYQOEeuZFkkepLO2K5iTvENT0*W;V3m?R
z2_vdTR^H*XMiGEE@NT1Pea%yl`hg<`S6~nu+R=$|D(Pc*`9$9iQ^@k@o+;;UJ*l*b
zx;5bjQCY3#COm7(Y68J<=;Ebj1@!(s8v4~BD(yyMF{&F`HOh0?K@g*9X4a3ssjK5$
zBWpoFHt05Kl?4hz6}EDr*2yCZk8=VK%)+2o)p1e@EeJCbFj&IDj#X<4(OkpL02X*A
zKoJU?nN?I;!9B*4uRjLG*X?Mip$vK5fCKFS>CqdsMlr5$1yX0ApTSF7AK!{<Z3NIZ
zAXPfZzIUEwR9euMn58l?R+I9Q78zB@ri6(+UR4F3IPyWMll{IZ8BGyf3&r|9k;6AD
zBYp5smUrg`tDw;J!7~lQ+%vgVxTrzaKZ~cy?HRc#V1WtTxlteQc+0jx8C~G-1&d8N
zZ7F~LRw)OQu`Y4fe4%M7Q>xOge}b8(Z1D7p=4y^wCisDM0UWXRreIEI?&#qQ@djRh
zxliLK%p*3jz|^7fp)Tai$*4x?pUTmjC}?8_V4pN`LzNIxj%{-jPJP7clASUnC0(lS
zf3h{WYsy@ycye9BsVGLTedzyqD8SR=!fMp^(-<KT`V&mW)tbiartqEGMu>7|dFk&_
zV1TD?LLh3Tefs*ySZuAMKk?#VPh}V&V~g)hH~(BB12nU~{rK@mf@u&N@!P;?6DjS-
z$=|p48c3T~g+~YnExzRtymLmE9|x%v0Wf4Q<|D8AI>i2w9}XBK2AVn3TQNz;RUWi>
z7;uUSjDD!Hi~6Rzg?|{_*-eVgsf~;T+Ja=$>E&q=;`=bl582AHJr4<;u`MI|>wU=9
zVKzfyP(Ek9^00>Ioa`36{cn0tuZV3dZVT*<+PQD}$(bQQ?8+@3z`AD+rt%UcEo1y_
z25S0up1r1Pq;yS&cW!J_xVPgUdF~nNSnDtWYs#0T8<yTfq@dYk>juM7UoCvG8Y|?*
zwO80nmC&3AAM`oRVb}EJM=5$E60YvxD*p;(W?k6J5T=|&oTqvHhzpgK>?Ys^T-mmI
zaXD_dDu&+rin3N_9=eNeq|wvjV|C3+&ngL~Bk^OrGGpMNX7|JM;@XSf1qnDS-HQkk
zH|Pa0DO-P#%e@1v!*tkP&ID2D&=6g<vrzSS1VSxt86>RxU!Gd8);2;}^j^mM01Lt)
zAKV4ImM!iHLI*6s_U#bW-NJ;IWZ?+wA?HO}-s;mURwoD0;-06Y3AdV-0}toH(<`;o
zs^UCo_1IzWAy{o^j$D00I+6$h{#$OUz4k_*r`D}9Q@0-o7$By}+*%}L*cjJfXAy7d
zD=&60VXVn(U$Edf%zk{tcBd_{+Z7+_)ppd!U(X}^*X!JW_8BCg*?$DAV7fi$xQhYv
zpxLJ%Y%iOSZjtW`Z`}T3I?>)?bVjrj<<mgD;It&tjlTJ!+5D3xa8~%1H72vhu2r4O
zm}@rfxw-wxL@0!O%}RF|3(d4#b)R`=B*#Os=6PoyF>3$(KUv9UOURZr;c3Xr2;_@z
zjn#c0M(Fqriy4nk!Y?A7rnBe|*}GS>s>PB-=N)ah>Dc{%*Cq)J4_RBlRu`jMt1Mp?
z<jp?q>*g<zA7l5#mBilCTBxi<<cOdFrg*B)B#I~Nx7j`0f41<32P6Y1uG;=l4|q1y
z2AkxrxvWVbSKhQh$yi(qI=npCGk8V+8}eZ&xaZ+S!Ei2`@PMF<X<GN^@AmdnGlD|x
z9CzG#M1AZqgvfA{Y^i|T_XSRiXXFVLb2Gl|_zp>^b&)hRYzOark24^&61$yw3?&($
z65TTqn3BpqpuEr|Y*>oMTJ6&`ePftn=qM*vQ*F-d#KbB#Sw`c5N*qG6e7R7Y@-OHo
zEH)U$&9ZnFMqeBKJhog(eZzmzQ@oisK?xm>^@07Jem%C>h2J#`7$@rv(Zlg`-Q%Jl
zm68aEbLy*&@4uMTTot993AfiZ0duTTS{u63X*)6~5G%fmF%R{v><E=?8X`%xsnWe>
zARc3bZMhJj%@-`Ut$)2|+&xUDQ!;f!)K{NTi>Y#WUs7m&SKY&&B?`F^Krsq1FoN2Z
zN|+DN%AfDNC+EtxhKW1XID9$MVy9<Ta#-^HQ_e#bzr|8`qq_9^lyW2UIoXz7Iem)7
zR|Lg<f~aBOS?(8-Qv5NMwaJ(K$P;^JB@gqx-O)Xsk-~li3lwVqt`|Vj#3tt{j$-w%
zaI1dIfqsx{zWuAO`cb0pqsqFI;P^9(^tkzA2+oZ84v`__R0P;EVg?Ou3-{5+8}YE!
z+<caLnav$5)RFKgg0$e|>tnDDp9<|L$pEVw(^Or1Q_JVkUf41Np)!A~O(ptlGmgij
z+D{41W4=%TLc^yF-2LckU~e&lsG6S)AUc7`1zpgqpmSD`_)>f2?njn5{dX=$<+5D-
z5Fwv1(!;m4pyd*>Q@>5RO+-SYjJT+|SkYWhrn}3Y_x_y<-Fm3_Gb=k(1L;$`rVH@6
z^cw5yAD7x~ol5mlxDy4{9dU(u{h|}FW49Y*?V4cJq{5=F<dy?g*-VQ&l7YG$64gf6
zrZw^3jxNLU4^h1WfyZCV7}8TN@w{W!_$6gSF3Y+Mb&CC;&&QW`l(qDYCiefXW=UPP
z!oo_cSc#Nr;vYC+!ll?~A+<KB@0fTG<4QoON<jn_1$zM6SO|47o!~4}{vM=^Id?>x
z2SyY}ILq_)WarA+foENG`(sO?c(w1AEOVpLO1qR9qV|~lqHisay+r_6;Mqz>GDA_y
z2L14-p3#{h;*0W$^!~1o)jp31?Be;>t`rd%80bSHgY8ohcE|SH>Og>?dyt0vn=au4
zVB@K?snjj&H2lvB>kpoG;=nYQzO7DB$nyEP*@HO@ea{2>HQZ3&S>2l@D3r7;jU6Sp
z%^y{vR0YI73CR)RzL8P+{O>uz?u_&_(oWSV(fq#=4nENvd^K8}Wevih^=&q{m%-+c
z)F9z7c{<avL60^w+qE~`HQ647U{)t_Q>S<$_|yGWCoC5Rp#Tc7=nt4l;%wSzBOmu%
znLYbJ3Z!D{SJef5?^}l@|Ap0t6OR^xO>9xq5L7b*39Tft1QbX^1G-ezQFFAvksJDG
z?6g?RS5-MaH`#Q8Zz~lKkC+rIDNhZwH_D7P^hZxam^#{SE3WBS{(tKC#mr@s-c*rZ
zkK0sP@3q#q??YgHV0gHBC*RSi;o%(LFIhyJHC9D8qzdO$)QeRY%<YB>O$Lt0b2~^-
z*t(!&Ae7szp-wSNDeE}n@#j)S5mum(MW;aHrVaPQp=?FJbBo)894yc`dM(4tpLyXS
z**(%E+VtbKc)O6<dmU91josjO=#DEQ{6Leqp5bm4J55e+Z!XDJv_(uGUMkI)QfrL@
zzNEVV5m4+^ILy_;X8(*fyP-F)t`Jo9EM<J37HDBu(fElB%7~y(*@=vd@30=88?{{D
zs7+by52?$Cw|U!`xw8IRhRcPiWsq6vNduifP9|Hc9yegb*grL0a!5H|kptP4KI+Fg
zT;+D9lAWFLMf(c6kpQ$KqE&7}ly4uUf0}>FOJGygFq=-o>cTb8v9gRFVXy68N(+GX
z>Q+vK+u09q@xasf4=-dzE3dCrW_VnCE!LGVB)2-xd7i=*|MfHbw?PCMqSEg`S(J!2
zUyIDo=19W?6BL>w96jI_WvJzqFoN6>JwaB0S0-OcHxla=5n59iJesJvL=m79Zdv*f
z8YJPokbIk6!!_H)*xm9xMj+nJstj54bb5<8aqT*APH_z=kTOSM?xp!Jcjq+(r%D4t
z#Ro>|dWdPbH3Gj1I`w>`RGHe%X`<(|Yf}TMj#tLq9+rPac*7-39&68~9%3AnVNZs7
zl4Dd~g;@q=l{EhuQ3T=3D0ogd!AdvtbLE;6QVV6?`2o+QkpP=94Sh;jTlFwttLIBQ
zsuLptp1S?v-$*-e>w}6x51_)stjc(`p*1N(xd&9f3kayAH;@7)8eo!Mm3NkvpzBZe
zU>i8vQd!l6x3RcLuIcr>EsDPjC~#6H$+Ao5?WAzrGZ7mOv17?~b0*}$5Q<q?R}#dm
z_3y2*kqW|BkaCwN#1Kaoca)238ok5qQ1YqBvM#cYJ{0vg%OBo}jEhLj>EkiB`H{#I
zx2RG48T-Cn=!0(QwR<-{1&2Uiv)CQxQDymFJ!?AE+irv`jq<s}rx_Gf+j@eCp8Ih6
z;GbrBhZLqG)|P5ElTL58zFwSX(5Hj6-B^79p{`A9OC?vs&8?8s7m;!BDb&lt^*44J
zzL8eIN<d#-Hi>N-S8nK@^oO9&43me@RnQgQbb)qQO<j~#4^$f<-8YmBk*Vec)t3!(
zMtE5cO3~JkmT2m<@;YV<>^*Q*PQ<3`UgOrGsKIgtSfxb^SCH}tr69CGQ_YUnS3>bL
zy>~T#V!_u32rXPRL)KdQ))16vykb{oVd%1VF2ne@S(FQ6wP9MzNPs4@-WN>m;F@Q<
z=Ix}rna;J5cheU>Vwz=JgEfuyUrVe`!R?L=+rDlwMPQ}<jJ+Id_3e7Hm)T+=k%ChM
z#>=7XIlsfRz;Ci44x4c29{b%|o|?*&6J(Q}5`8~ZiABsV$*ZaH*C2r99tPJ@;agZf
zkCQysg#bs(o;~@4AE0?(iQ-IB7v+i};Xy6D9~3%enr`Ts2rGGci?Vj>;9lF^OkuOd
zp<<bUIX{HBXATnJ=_|g<>le|>BkC$>TM2TagsM@C2=QJ=NRmmP9tL-tJIyJVxO}H7
z9e*LGLUQ=+bs^-YaOo+f85Pybcnwx-4s78iF7#%z+^oSFSl(d!Bo*TXr3{mq>yy~=
z(~BeRWU;WWXzxOHNn`{s6*yStu&C24O+mIm^ThM^pYBGec-ux)&UV%My`4i8m#UQI
zI|j-Bwu9Fz8m44Mi?s`_{E&llX)2#?T$FIMtU`2^uuD31u_3*Y!OlefjVe=uIf>DA
z$M>15DHAQrde5r^I~yR_%W?F5-TS(WP5TvI-Lxcn*)KNpw8pe7<|#=X^{W&JUw>ca
z>j|VZllaNvnANx3t2EO8yi+}O!HR{hv>@JVq}FOMnqwaz)W_`x68)XQWBs_r$m&G3
z(Ug)`_VN;SR-szImfB%t8RvGgD@6A+WFetGl_w07`MX0Pvu5i5_BIqpJp}ftVy2h&
zZ%+d4k#H4*3?}OP%5*o?{M0E0U>c(QTmx~8P5JFHo~buUvFp1mhKS?rb05_w!s$V`
z_P!3v{=Q~TQ*NH48Y>p^?_Z>pTMq?Bscr;2hUkz|$gHB#{-6|P%&g;qX~qtz+Mi|l
zWdHgKw)t=UFQme@OHl_2VgA{h<DL*W|3aAEXyvHLH%Tu)LVg$GF%vK4@pz0J2SD_6
zrwTH3tZlU%Lk%9e0E?2aZ)4Hzn^dPU2N-pftq?p`R&Z9{vh$jRLwoUu6-&NPIy_Tq
z(a5TKpDQMIA0eHzC;}aF8)BX2Xa`&ZL!Rs{)XI95Y>@_iz8UA`ofJ7m9QNf@Dwf)x
zEyQw71U+rV4Sc_=TxB2xQ(NkL$28q^vuicQu~El;a{t`1;^2>#`|#zx6v$tlTirD(
zh8yxKGE!#lvaRdUTtKR7BjavCN>e(e6k5e_;fDeh6~5QYfqKDn-C5=;@s=NJfMMnw
zbtg;nJ*x|cSL(DhNs!61GlsDg3vsV(hUP%|2+{1=#Y1n-<%zb%Vzu(1NaMY!8F{2E
zLXd3Yv2_h57A6^+dS|zn2<Ulj4qOBLtHM$*o4G%Tz&T8@c6UOqFqEaESc)E@UR!M&
zDnaxxrY+yVRM93@G(tY>QK+&(fNuhXS<!1Nk}32bF#FmXx3HwFW*3CCr7wZ%wvB<7
zFH@bm9QeJeTKfKO#1`|MRXS<tRPf#=m78$_;6?%8h&*a|Sq$|i-&#v+N8a`Fm-KZP
zXk4=}V2uo{rS(^G?xa>VZA6AJ(9`rjdjEWCInkCulSBC{g>KM)5o9g9Mr8-KdRGGk
zCS$0o+RA_?6iA(DMve%MT8s4PtB4S{jCH1lica0-(c<*E@TWU|8mC@J_cYULy0;;T
zYE<ryyDuDn`^VS^%<Rm}iUJN8l0g^p(FSNX$zj*)8|dpoGe>)yt9QQEM{i5D+dw0R
zc6r?QA&3Vi*tY>sQ+nsYDAC=<DN!P=@5cc&7tOMCbjqOX(6O-C_}g8-dp91Ca=4He
zmdL52$q4b8hqQwgRjx8CA%Y9VCH+CarmQ3dk+$?M|I${fVL@;d_=NJyqwN@nJb+dg
zzgG7jnv=S9FAk1&`+P@}5#fN#VCH%q8z*&o&hYBR=ym0|WY-FP?FZWxlXGz{LEJ#_
zJD`A<o6m8)+3as`Gt2*mz^M|7q>8K-HcB1V5-)>z-$1$4Mf&{by6dpAJuv}Es;mDV
z4m(Y`)D>QMW3W#R0*o#*hLU-)wWJ6yfx$)=>9z^}mNHX`AIaA^=yE5fyI`yVw@i+p
z9KTkJe^2C4W$B|6M5qW}+Aw8?a{%|m<6KTftypthbESDzJ)%Xrkl7eF2i@7JVkJ-R
zAD1}>te%_OjfJ#2w@?8NphG)1e_<F;<FL}-wTT?Rna((7D3W#Mq)vj-pncgL)x?Qi
z=~Bnm2YgR`O1(UTI=s68IiwF^f#ZeR+(~9w@TLu9%mrKAu`fsWfhIVO?a}c$%fkbp
z(;9^cq^=)r@Xv)1U!OpKLgX!3kFL_rJBfT%zKd!RtL{Uxl^8<U6#QnbQmvCprr-d{
zsf^2|pFHLZU)nT*Z>fu?tOY~%_3p3O;=k(BD=dA+0#MC$v&r$SraxT!5m+BLvFa1L
zu$No;1HeMadMrSSLQ0v<Qedw^sjfWcxGHl!td33NOA>gna0coG=W~B@X0o5vj2`hd
z<&<mE%^%Da6>KL)z@0XN7naC#w#FOolebS{@hcjqt<Pj!B|S5JEg~=1qt5){u5wV}
zzygDLs2M5+;aaa4N**b-$TNrPrNWV;*h=0&XWE)DxldlJNQ!VR^Dua|1Oo5`urb6!
zk!C*;$aKPSZ~Y4fehP)!>Y(|GwbhXIq97lpg6NR6KblCAKAh4^gC`!F@b;p?2aVc@
zEg``yzJ(7&z-aQMlC|-O-E}l|Sgr<S`2>X4scNHu#FI}Hx61@v2T(fktj8RO77=y>
zW|&~zhokW2LHh9c6CU@6qj`VOyjivdhXGf$ToJ)+T%|+XvNg|_VeFfD);+z9vmlfp
zt_u9M${CTyJWDOkA$)r9-_Wtxb$BO`{a0f>3PqK)vAI3}Jh_Cl1n$<Ig8sBR0@+Ud
z<Q3N%4R=zWsVZ30D3WQkMI8M*Yz{_?C>n{Fkb#9*Y`s9SOHlQwUT4_T0R3-%sUsxQ
z79AXov%Z=hUc4R*j)>+y3s&ht*EO)-8P;xIlg6fCmY<KTN1b2O<RKjncCE3hMK;^?
zEL(f+3gN&du`BYpLbXo8-2}0dcf@bYh;VKJ4K2}+oV45&>s75nE>|nbx-V&1<HZX-
zH3IoZmPBp2VvdQ~Ct?ewfr0C4(_0d|EUkXzD*nu~dVIkRvG}kp)Pp0>eK`A7K&T_h
zS2$h}&D`~A>?QLxXBZLRuf*0Vqq>||FB5Oxv`Em-NwEsl9;f%?y}(j07sELY8rVb(
zSafbTF+*W?^@8U>qsMR~Xh!cP(b9?H!>alc!irUo0(M2SaK#uaO_Sq+?0J-Cm&v0t
zjgvMS@`Vd}W@!>-#IbZ7Afy}0a&mf(#P|WH73g7%aQv}xCYnQOpKV_IZLkXY7DK!{
zfli|AyL<Oq?wZM+3JC%+mV$zL5^c435{;OX=w?GE@AL-(sB9#h+tK=^p=*yj&}x>1
zpJKgh8ANFzo6TkG>=AY6oP`aq@<rDD7Fb1CFV{?bIB@Vqx<LI$QxxWYcNppG#tAS5
z+n3QycRy|#+YY+r)23(u;ma>C-FM^$07T<2Vn4gxGQJyIr03UAn_pBd0Wq)(TV6(e
zvsH~a8}{WE?Icd0^XhgWdV)#{l1x>0oD0&%=KMi~Mc7~Q_Q=4rVRPVX(Y!bzt3&nk
z*G3ff7(77BO-$f=aExD7{8!UPukrdJv+`5QV^Sc)e|Y7i6SXeEkvtrg3<H6fky_dF
zRzKh9ui^CW=gKJ3II#!_R0ePL&x;H6g^#$u!mxfMaGkFF|M*SEjB>u6Vjh+c3NNHy
zr66VcbC>1>3VY!LB_z4}vjb@au678mUnfbbu}F>1i8Ivxijgpih7nN`+-R-wupu>+
zrpDj-{Y3@8iF(BKn9*pUU<lCL#u*f`cW@eZnctCuE5yu%r5$B;5|2b2SePg|TYuK_
zRr+U)8#@Uzdca6J%}XdIs71m-yM*U!b)M@~M=z{hGH_AP#2U)?-w%?*Pt{Pj3;#v~
z*-bvabGFWbtjMbRu^s5UI8N9Fgs}P}1xtY2^RJ^{QjJb=_tBX;Y`BCy@0Y2Z@bUCg
zCkCxR!N6uG&$a1vAdI^atHLf62-F}Usq$I_Av&AJsNfY+jJnYwHQ&5jxD}N!xvxAo
zRiGjI_h03s#R<7s`RkyWdDDr<g{5sQ6d!E>Phk$Wx8h+k*rl16bRy#fk7wf?uYgpt
zpV?Z1*xW3gv0)JTrRfn~M^GE7&wb4-J+2wsW!|ho8>*7+-CsW%MFGPWeP%S`nlb@I
zK>Wm_&m3B!`$KQl@js3Mq!+Ui%A~Q@m~_yp$w>hJ&_MX7j7If;c&%|~ZU?X?3QRuq
zruKT>?kBzVjN0N7DNoxXJVDt+UW5T#JWwazWd<Jz-5BU<1sezM)z|Rs6OWV3bvXxe
z1c>hX%lORf{>#1rxKo=`mTB`Td<vJtba?VG<eo=H#g50*oGsI;x{)E-4{p@R3zK<L
zuC2vftC}&tfWXd{tydHV3%b#Uo}$x8HkdIOn-=Z|r1ZjRcNLSAsW5rvy)p18n$~k*
z*Gs(N#g1{IOgBMEJw6f|o;8C>Ay|8RW{!inW<E>CbYAm#E~gj$(p?hH($T&z<K<FM
zjyzg>0$ln?k1LU;;gT^}=PEz*#c@x{d?+T$A<u(zXg^zC@@Sb>%Et93#m8teQV`!D
zT_rpe<u|xm*93y{t4L9YjS`kU+8D?JaMLWqo|9WQZmJ`V`sY>^Cp!^xsr=CD=G#yZ
z2i$>C$3mPNgi8#?e-*fZQ5bnb20>1ng2>=FH&%!8;*t7;u1N@sMpGd*leMqR6=eTj
z1psMo1H&d%S^jc7v#zY-Fl5*+LoA_vx@!YV4%C9{v2$ak`8E8aOx8gMCW98<(KQc*
z>j$G|K0O_eLXulT(4JdpAf?hFfF`<BruRtXQ#tafb}lOU^?p$S<Tj7t!(X<`j`gDU
zC07(yV+a+87g>5DG2+!`efL40DPuz<lg5AtVyn-MSyF~j3F%0xW-w~8aYG};KMVLE
zX8+LdyDW-zc>$&gimPq2P(-Hb-1LrVbv`z0fk#oZY)`Toro|l7UlH3})<V4Eyg@2e
z%1w!HjE6ngCvcU#z4><?2L0v0goFrzGveIq#|!Atx@_`t;Em5REayFDwFqYrHO7p7
zw-^;OzISx30QKiXrU_)z{;U^j@UQ$Ddvr(Z;hewsT#Aha2NqZAsgkL5oftsyU_oVr
zARRo1qQYkQ<cF@0gudO7;tx*rf_XL9HjS6{=`RW_(&Nq2$r=Bce|tM~#7iX1?vKby
ze$8Sx@xUfhQ&7#-a+f^xz(s|*ah>jSsstq8h$p!85cGB2xpj3aZP>ISqDl=t`ND!$
zlKaMM`~^|){KYIudE|6LuJYDakZG+spT-RH@CU*|{&zm4R~8RJu!=%~a}{1|te%-#
zj7@2j8XxoU?D4v})v&eQkXb$6Ntm6INUU_B|HM<Lk$e^z7hzjvVXhG|j8BmhiOg7T
zm+qXuAZ|G*GR-V$gQ}$ZGyVgi70g4G+Ev27?hwv*#x<&f7)MiU^4KZ(eCDi#KJGJj
z9m}g(3SIkvP@M4!;Z;CQ)8tRQ4rVZeBI*n=QT>qMmTAM-=TkpgrF{$a6U#Mbg54r5
zg2@gL3OFQq)t}Xz?sk$<7{?F?-E_@ax=VYk5+YDpzIs(QiHyT=gL%7;;bG%&QTWFc
zBr@e98SsznIp3SzWs*Z6DP-LxirT73kZ&}5+Karn5NE*Q;sF(OF9vY)PWyd3@(INW
z9z?<{{{60f3vifpxS?<&3Y}n=-V%&e?ICem-Ob3Q{-!`iSM0iD^$GU_gJl)=Y?-}}
z8V*WS?6oW`)9LEuYvGRyWso~0&^Ko}*<r`2rXUPaHap_w%nXrN7}%++w3!;Tn~m<v
zStkwMnMKBjv(xcI2@ye?#}6p&STw;@D}4}J7Mg`sgyBfwAR&q-578ZH%0em9V4Vv{
z#yZrd0T{PQTos?ixAqG7+(;oXC{k2>DxvF{vtV%4k@yS-(FY84c<rlAY3psLs11Iq
z$qKo=kDO$Dt?PO77pcBw1e6>ERTOH-1&rVnCExZQ7`rJ|1%%~!hIL=;PsUWB{CM$g
zc|e*@`QrGz(X0X?RR@jUrk1&nyGrY#7O{q7p9ClfHYQ{1xmeR%dk&Ey-siV7YoFhm
zIG{Y*4;SqIb<*HVNgp*EkXa^~es6A)%uofUsP1?<T>5_Mv1Ogl@j^+aoS<P4yK(I~
z|5S<q;$(%83G0b(l{2fJy#Z07%yIN=aP`s~mg!h_gp~bN@yFf$*Am;0(uI%0ASjiQ
zGW8(r9Q-og9V=`;CKui@=Dy6JDLMPz2J>&v)%jyXB<sM)m(RZiBzySb%L;Jn*o}7_
zUn5suK9s2=iobcI)L~B}3!#c#M>d|NssoRNf6jr|fFS$~y9tt>VvO`N+nK(t%s~*B
zviU@fs*<B&Wy%fL!Juq-atU$*O7K+eS6OVm|D`WL6UHs~I}BRLMOk7*i~|Y*grFS`
zJEm&FE06Cei!mQFxO{E_3{o0FTN-EHf6ZlJd&uC|fIzkU-G14kf3SPui6LpU**~TG
zybH>5=pwzx^S3UI5*`eomlR&uKO-6u$K7WOo9a!4(BYM1LScgwd+dx!KBv@Q<$62k
z=$D4{<DnpF?z5M{M|D5V^dV(hdC<IlB^-=r&ZL$!s0W)yYS0VN?=&Ls-HZg#W@7$(
zUrfB1^d^pEV5&S@a%gisiOt3qcx$#$G+*Di9++vaOgl)u(IqzTKTO5GM$$fC8uPAT
zSPv2xeuaY6%)>bgyDs2<)YOGM-JWL8OG7OCAuW%86vKW+c^PZ3UoFDtlsgU2&jAV)
zFdko*G#PH5WMioyOz5EHc++Gl{$b@)9o{&QPKWoL6=oj<9ml^Zg%sT0&j&(QmC6sN
zqKh(<RfJ_qMyi8+{1dnF1&@i=tCDyg0n#h{ZoAQB{)U6pBY6Azz7D&b*5#SfXHtkE
z<L;NT0axH<4AXjs8!{NgZu-x})SG|>cNEX9d^pl<^vSeN?Q{D3{h2%(v~>Ic)c{rv
zaA5i>m}s5Pv(Vn}L6`>|C$urrXQJwgGhu7@AW-@11NX=L)YBYWO%fymI=J-KLm{QE
zskJQL8o{YTxq|Vpy2qYktLwuxz*+KY`It$P_J=9~?U7%CA*M!9B{7DXU>SZ6waMK4
z>{aLA$Uh-}EnsHAqSS)F2g&Mmm3-lfpN~BJIE09W<^g46i_<J;)abccrcSaxs)kU9
zV|U%#TT^j^Q!Z;+CVxWKT<SvCXQHlX7w$1^h{8ZO-kQXMSpFnLUmQr1ON^882zeLO
zkD<Noq|k2}b2$6!ZW)Wu*Ie%Y)-wBZ^aU^2*;k4(r5F!5ljKGku+!hh)RtJt{x1i5
zQ^`@w_0aB@Noxju67mq5ngVZksOoK#0Meplb{vtM*^~4Q6?Q+W8a{EZ57Dig{a_*9
z)P;8Ht|qWDdqo;2{}XIXvG+I|v*Fna{?!>>8I*+XAV4FVx%s-~tF#49Hq`KNWH0u*
zHOQGWdkyCJrIy&duHEqFUz0F!HjDa1>PZ=y2vmcUK9m)?8;eZM+v&pU-rgJZo4g)-
zJqg_8S>d3YB72;Su3V)Y`|$AZx!2m9^JhFBDyz(D%VKYMbG2H*zc!>Z#<d7Pmwl#6
z`N=zN!>PoA2^6%u(T~*`@FF*+8v|+pi*Ht^HA#+1P7au5m`u!9%9Zg+anu3nassew
z^!nH-Skz{9a7-^9!&r7mKlnROfHIJWOkodQYLCayPG=>jAK4pi0i}D0F-LMu2|rqu
z-AAzR`@;cv1%R0~)VQ9rE`FYmR)byeBZ~NPuL`DP4fD+Qnz;`jJ<U<vQ*!y^tWW~Y
zcg*=<*^@L;mDbGMJ-6WN0JW4?D!K-Xe&fV1tr@BbpeEM-CdWLZL6cRvzO{MvOUh%w
z(d5Fmg9Yi8iClGu09qa8c~A^5D}RX_wQemTbacfm$Jbz^fj$6HXbGFBGXdfS)EO8I
znzdA;B9w7Sk0Nd)-cXG&{kWx8%GM%Y1eVCv1(JjB#8)3w#9^|(7}TGLBe9S+LP({d
z?rP|&lnS<K`s_>)l6Pnft)>=J8v!gT<$*15QRCuw>J-OVt~ql)V5V}n!N&*u3pL+&
zlz_81^`NDf{6vE$3@nw`c<Dh$P^hKd^3_X4L_cn2jhRURbs}evXfO7hb_93Q>%P>L
zmDiYKg3<dH_H<abHO#dxhf*yvs<vyM{?IaN7AMGYP+7L`OIwc_8n;8Q_4X7^1QYqV
zUG<-VqO+@YP@UDcFR2>h1D!ra2Dd#g!!ok_mxJD4%8Bfe&Vu;Jz$C5Cn<T<^g9?+X
zOu-A@y`%_CQ5%n-EJU3YZo$z`Y$vMl9OR!Ct;ld*?ARaxt@Gsfj$uMHcMw!^<?~M0
z4wsP$DS+Iog{WUfdizGxYwCq>sV+b`ED)%zWgaKxs-UuK32n4rfINbPgJT57!oz_g
zS@KnXu*bOl@6m(Upr5aXn%vLYm!NqAtUM)4TRPb@i-|f6{gXN<6q6}4NsE5`F435$
zluuv8Or?V{&@o7`L;c<~h<@aW2h|K#Y{l8-J>B#XCD>2pzS>A-$m?tO+HgeYbj@hH
z?HWLA4KvOQ?MD3mHSXoJP{mD{>)zXMOJ6_)D%l#uX!q;eq1bus(6wReQw(E{b*Ju@
zn}nV@Cu3vBo4>B7^D)y*2#;dKv?q90Sv~<il6XOfc!iea<P8o99<&u<(AA%!B4i8M
z>DumMU)Lg#q^0*)$1o%~{XYc{n@~*u*cWWiXzOvfDj}(}=?CpThlF2KdFAIDWxBDt
za;{Kae8~v;<dWQyD>RXV5Ls@^{j`ra&PS*UDNWYcLENZKn@2;DV~ur>bS5_shje$V
z?*y||5Jnb$;QBmYp0Vv%c=kSNMBG38x`2Xvhq3&UwyRT55v^O~tB^bpX#uS#gDn}y
zAR2w6bgp(mRwrOmJ)J+;ude$t`b+5~4r=udJ?r&Fy6b+Nb?TVDB7_aU;w)U^`TGVh
zS4iRhzYhvKYkDJ>f_w=}!H>rAT8e-3z1esY+`T>?t&UH_7=Jd;sw!SKhNlh|hNIav
z?J@kH2$N;`Qj-}apv`Y{K*uWuZn{+BDL)Lp<MIveN8&s{*!TDAVyo5?{_@CHnjuQ3
z9J40@CZm~6k#eqLxlY`^-G<F=;Ag2#0K3DOA{X8s>wi|&-g*t@6<eGV0{EgN@Y(X{
z+Soszw5!H%#4WMuC@DxKYpv6cx1gwyWcE~%OZE)aRHph)pV!fEsBkg|g4r}22%OEG
z)<$;yX5R-!I36%Zw=q^Ec#>mag+Hm(W}F(t?iKbV?jUD4?Z;#Y{xw|hFm~e78Tvjr
z(Qo)9%}AWy;2IlqjF9YE<h~3$1?qGA-P%kO2{AgnL88y3e^tW5yy=f6t-fi)+}M#g
z;;6UuefTG!3qVY>an>r)a$rp{w2w5FbROok;R!`e+LExTyboLvJG?|K|I+=LsGr~Q
zg*=q*Jw$}csj&Q5B&`y0Qv3YN(uLrX_Fs~*rV3(2n<`LDQ>399-F#R{M;l*_*ykW(
z^a~+rNQ&CWgSV&0S5-80g5KD{a}AcBA;&-|bT7Ras`j(er)j%4(To&Ki;<6E7M+&D
z=Rx?v^u2C7<@KV4s?6i3yhr_#NyS2G7s}8!;rypuIx2S>$1beJX30oeKEAzUkgLQQ
zydGd|Pn_9A@|Gl60JvOEGh=-{k1mg)Q8v7YW!^?rm*^E+zi+=@K6`vC|K-*b6+{WS
zu&T}`RoX4#{NRNK%SK5ecmGY@Gi+>?^J6JOGa$G%GR2S`IFGwBUjXTu3|Zq1PuyS3
zh9S@e5~&U(m$w5|=jB#buwS5NIvaAWj83eR^hHv~ejoL_oyQvddkES?E_Sd0VI>v>
zc2H*sbqu|h#a!h5pad(g#3h7_B;R!<#_b69Cw;cpG)j<G3X6Szr#qS6m@%n7B3$U*
zB#2tlDBm?^PQn7Rn{c~!@Ip}jqdwY$s0`x3vfY#ITx^%J=1)#Ha8LwXeR{Hj%*oYD
zrU9qOJUi@G>YI=N^lGV**vM>-kjnZ6dXY>Z?304K@sIN<@@wGZDK^=lh_a#3M@vnr
znRyVH2L$$_^^J?X=J0NYi`3JgIJuM~6us{L@ErUPy6PU=riv%6xQyJdebFlAcx4jI
zHchY>)?9tb_H*}97E%!!&F+O9=dpoAQFIw4=P^EH^rg{`iPb6xX;Yane3hbi%0hw1
zV{RdS{^VCGLDg=<jD$~q{$co+YI~>dNOxR1ob{+1>B4-}VNUQ3l~kS(f>g5D@5qIF
zKD|I#nrdlzvhg;mjPFL(8weh`sv-^2+1|(PWK&j0wO;<?AF!cU`Q{Goz3_IejR<wN
zREn`X?0Usu6vykVsrAZxL`RwgQ4VYBhR%Ze?1Gwaan<qNmg4w3P5uT^24<RMbG0lm
zJg~(5rhD)wwmP*!3b(ef4fQhMd!`Xj#99;?KkH~jM!M61^Gj<waW@5`J<Y7jkmMc#
zKhsa9+0Ki7n1!??lbhvkiNk<A^Q{}bA6{3e^C60{K`k&T_djzvEq#hcexI@G!476;
zeuQbKd8-H*?HQIYT%S0-SuUwc8<H=TrR%C*GWzRtqFkN$V?OZk4sAMzjUI9}#ApG0
znXA47q!(6+fL@-;Y|lCs%M9DN`nYkH^`=Wng3u=_ICyz3kQ%qLy*YYnWt^Q=+3Z_B
zAlR${x=iMmefjYt+Sr6uU7IxsxPtNTZ9QX4K1I>XpBuzg$63^*t4YDkLG?YwfU%Y@
zs?umlUTQlPs&{_|gmq;tDRdql91ZnXio;nrr*m2RgFSHA{wc0@*{gE>aLSO<?bDh_
zV5rebw6%i~#kLWrzf3?p^5MCvy%F(!XE{A|32u}=<JSx$R_^tuukE1=bh)yQ-W7|9
zDv_VqwckN5A+F8gt&}VYziC>x?L|jcg?Rl)TQMd4cST;wp#L`?la=xR!N+7`WB*@#
zOimWg|KoQ4-*`+eRwkDJAI-C>4Gz032^@fsQSx<uJJvNA@E_V8_P=s1X9boHr`*N^
z21rUuN{5$7hC>qMx$L;ie*Wiq-fe%;_PM>h`Sh>*G%8wMIZSGGYXqn26x`SC*%D;>
z+Y?65K=23h=oB3Iy&*H>Y0we!e;7N5AWf8T+m>Bjw%ujhwr$(CZQHhOqsz8!TmL<i
z8}SBr@Fp4Y<v0hK8Efx#PS41eOayiM$1O1GXG#DcqA7@f0<~rz!3~>EAs`D9Y+wpu
z9}W2k4ILB&*hiq?+#gQYzz7JOTE2l+AQ-3M6a>7}nE79Khu84H>!15@7QhF1!)61p
zhp1>MC%^%6f-Bg-0Ehaoz%a}$kdxnpg)unrdFOh7pu-&iW{~OtD7-uB;oig3(@~qV
z+qrw-x^$fbSkIsXQ~=}nPmpJj4RAjWgoPGo@b7iZfA{=?J0LfJa^0B`<XclvAP@ow
z)H(#1tN;Cdz-Ev^K=?5buc~W68a32sdE;k3L{31z8R-7W=@0j|{%${LV4**U_QrY#
zN4J(>@1TNr03Id?hy`V(^DvTwTmahgYkMKu$j-^&-sBPtTw{|T!+Wt4bwE<hpMlH5
z!TwF>_P{{hgWK&}gNZwIPrq=_j3(k`wcXJTEU?gSV?doeFdXOxPs~pC*<7+~P?v|G
zF95{NprUr?j@*V<#}lr=fE^*BYDk|Pf%w|r<du*^01*ldCK?7vzzzs;Xe{u|-NV;j
zeV#ySckeL#&$q9xt`4vpf^5L|pj$yWLR)=zDg_i!xM#q(FQE3_K4fMJwgG%=0C<(q
zn*sGJ{~W<6VJH9n;NH*xY@hQ!(7Oj{|L*LLzZueNqf3Bj7mxvP?Bk)L!WNSf!}WLj
zZkLmr1qZ%AIm7^Rcz}Kc5fK#u8VV8!0Qie9w1EIr!S4ywRV#8~1)k@O2+E%GgLna4
z{;U0N!SMHcjV!wO60jf*zrzn00)hoI!_jYm%nSdHZvfJ_dkO$&9MDckh5&Vpz<NdS
z35egE#DaVHo!Sp<#=nRBweH}t0e<$EjTP{}t$~<8zdrcx*HZ0R8OEOwx*__{^n6_h
zCKh1RI_Q8C&j0VRe0%>bNpL_Rp)H#G{jC;c{}3DmApX{%$tH)u9{vSN0#FFVM?dRV
zrV_H%`Oox>nO}f700YtdI0nIo7%8uSxIgvP5Y<LFLVyc#?;xzZk3bg?{`w8<M#pfy
zM?pmjwV(Jy`w0sD1nQvz5Cj3jZ|zTnLL4amVMj)TxYzgz76IZ}1rRC%#n0?Tyal%M
z6!;H@<Guod5WoWf-~_~izkxjnl7;`xg*w0B1U@_eZTj#60sySUI0%^62mdu}jvzdJ
zA^aYRfdnEF;#_}VVc<M4jBhr)R$FOW(bv^7{-Z3TEnc(H>3eGU6OZFFt<qLilYq7!
zYI8X+K2(nrRddD!>(cM@rhUmsqOI(*>G!##MS3A;(`q>9OMXS*-%YQ*CLa6}BCT(>
zb(fx<Z`goh1?yCft(=z~4%O%OUm91vo~fv=-o=sB$V}S2Tk0HZ*7kx_JxB05djD-n
z=3{k3|8JhrK&J(MBmZw8VFq7+hF1=^pL}`RNZ^e>;<)~?b=M?@|Ies-rB41_Z*)@P
zVoDIi%lE?sSabchTo(36jlJUnj1B1ztmgQ6))Tef#GmT9w6a??o41jiOiP`Z)TAKD
zRFN0cYpH6frYG-D6S%-@0{s;=#43s*+SS_}t$+L8v=I)u1$1%e|9v;v<<9*fr?#wR
z^e(9bwY0*+YY}Hig5YeA!{V=UnDX0ai}U#y4VYQHN0t<B{@YhdEGsQO-{q@TtA2l*
z#P>6=K2mV`+?X|Il5%zn!5wluo+(=<?SJ-K(Ot`2%IQR<EG!&xEaz%%RR{71@<qC-
z%LY3hb^+bWrHUhLxhAFu{TISE2N<?_v(^{4ZMrJAjgS7ix}vWaK1nHf(R-sRiYJk#
zs9l391Nvc2_V0f&SA3Jn{IwC(Gy?IuO3~51MlsYJY*il~ydMWI6SWEOlzqC^wPcck
zm5?4{wwVPf75=Qrc#IM@jM_V*P84rIO)B2bT{p6u#Cos2Jc|JlQ-zCIqH`$IS-Cbh
zOs7gX$vh8UW4>DTlKZ&PcC$BT2M+$upRy4=<nm`WyhXln_F`Mqf&|H(wP|11AF(N%
z8gq@<>wE^n*E;LY<;!LC^Lg$o9L&E5F%O}0R}Q4?H{?Mq+j<TBK&+&;_fXJZT+h(0
z6;2Vt3N{1p2Nx{aVEwyb;Cdal=2%f$2#au?T(vk~Q%`c_m-q0{^ys@hZ~My5vfy(=
zW9zs>G<GMuUc46EL(k`5TP95TmDBm#8(#FvEVJk9#OP#USw{Wdzl(WJP(}&+s;2Wz
z>rVP!TdUj^E|zzSJI#&~X1$jk6TssU9bNL0vw#N_`Zdk&82CY_=Kt_zieu{wEA}G+
zL|H#hKj{c8NU<+df0<%Mw%;OIl;&?#Kt`L`CPT4D5-ww=CETZ-@C}R~`!`(s7yO`I
z*Zo@jB3FIpKPGSmFIn&Mjm5iNCk0XNtLG-fXqeiWN*H5QjYyluzb1t;Jf+MK==cci
z<~q*Tv0HSR|8B|>Wez0~NVodiAMJROeAT%P`!-apA`>0xq|%5cdST^GpkjXt!s051
z(5~pVf4Tfj4(q>cxBU#HSqd(n=zK7Y9E2~0^{vK`p_6|pXY9n=oler<PmF?E1s-HN
zyZe<Pdg0TdE>p1fn?bpBA}*+xyAm!ncNL~0Ym;Y8r?9+r(LZ`HV2f*WNQ1`+yTl(c
zy51CVL-#o=uc`@Vx;i1!XDCLdK?hz}jSfc;(^%?OrjxXg4ws=jE_-Q$d`l7>V}Gl8
zbLpr;r4sNLlbIZM?1W2%gI5YbExjhXIbuH^q4~UxYI8;Hk{o{Y4p5`A#p)kY1lTUn
zmx({bsXZ;jR!N6WujDd0$<C|}PuM)xvvlj%<sVLuQu1ATy}P;Y(ldE>gmFyoUw6$~
zoJtKK{VOn;@H*0nSuPTYLVj_h?fps*ob8Bdb1$mO2Q|mIN_4m4BWD~6u=YO0uWU5g
zW{$>_rf<~N_a^_%E+2Yt>xXO3qsA?h_Y1zoA>@=lKCQr0Mxb2Q&SA-=OUom=sq~f%
z!I8(qVf)Oa%e_?3Mv;EL@}k`SSYsIi<7Rr3F7g7e9#h<GCr#`D7rUf!CjX(SJ4wdD
zjZm3WGzLUyU8IwUOfr9qz_1uy5S_+C!+$7uMqW?Tf{fQWH@J#y-((R&rLxfvZU+)B
zNuFxV8Ik%$%i$Z@#W5cC&rh6?Q!Q~df^_MRB~@B>dxvMP9b+7oB7sW(*Gi+iKyJD-
zo#=pUIb4G*Pm6}Ha3D!(gDkP8t59fx@~yy#7Q)zUIxoOARrx$(pYmgEVS`EK=oy2y
zlV;7rCt6X4e|vWJJdJif5-H#Ii3$4Cr^CfuC~@H)!>wA+yBX>kqMkirAz+-vGZsUW
zSyBn*B4RPylk#z68FV|c<!BSlkku~~rrRJ^srBx6P=;BPo9FEUUE80Q@A*$;#k|OW
zw#XZuTi}EvGUbYCSh`pd=0&|<dSBo(k+{rtZGhRxlM?0Amdc&VFB&z{MWTSSuTKUZ
zhhOH;+sOo>ac1O7x)qud%|?lUH(_SgEcK*vq^V=fbAFy5a=1{&(&SS%(>(|KQG`Zi
zYay7r>LW~<m73NO^W5@*t)c&}m!gS8rp-!o=p>;DS0QncxTU2T<xU7L7JD^oLJ2c0
z(V}u1%jD18w?1v|`imouCbjgmlNVG7nCn?bo_jNu8tz2Z!c%v2Veq;s>}wx-+<sB^
zZt5SZt~G195w5i@A3EOCQ@x(Fq1bOsR@Wr5(j}~a+d{c)0TtVu1eOnhePeeqQ4UG;
zb#2bfhgtGJXjI4OH$ne?H&cVZhIWyRvLK6H1C%LZB%h)m&<4-q&w4W}Q+MaRC3QL$
z@D2#n+9@5aWe&cSQfea2CqN3>SO29h=Jk${XBp#KUHssvj`#{qd&WR!@}rPB^bp)J
zb|CA-sTT`X3eDkGcfPPIJ0{GMP`YJIMG%X&l{x!beKw`)7KwC=mE~t8tLs2sAor1p
ziF{@*X1^i%+$*(YwN__-^DTq9_02`0AQqf9)-Ct&8x(pu2Y%W-kO0&m|5Mr6$vR}F
z4R>T+4`j!5xlum7#f$Pfmm~LXR5EI+<Q~i@ry8|o!HHiGh1M^ZSG3o<AbIjWAGEhU
z<8^UN)H8t=GhwgCKQRPxvx~MrO}tQjq1r^|o_bXz)nZlK!^J}qOU)cug8cpoDkw2U
zoB69zFBNKqRIY|nhB#$~bh62TR8kN}M~uRK%_pR69d8r}Y#18CT2q?;G~p0k9orhI
zS6le+Ik^1+MopZtS2K0)T0K+qcB~-DT1jVc*rLR-E(8_)#Y+%&y=QXOE;QSB;)@Dj
zYrXxAD1`g9Sanl|k{&6*X{&d(g-&F*<(fYGr*Cbz_UHq=oxDxD#_-yRQ=QJSElm*|
zya}6qbJegBNoT%YGO=6Lp~ZwbEUf6<FM{`J9<_p_H^_iuMr%IJBS=>oNtywveoSER
zAj}E+aD#GF%yux$hgX(!=$tA)bD>{ec!F_gvj!>trPNpOtNdWfgm&%w0JtNz$Mh<_
z$JM~h$KF<<G{T@WlE#`~%FYS3UJK$64xK96Lp9|;!-|$7YoG6|R2)UY>FBB}Ui3D3
zbdV<&g75syV|7QC^;wC`EgGCY)JuOj6_%TD=Rd#1L}ez_kopBdAi!EKu4u}gK?+6g
z%LYiCgWRt-zYQ)UR4u|`b=nUUQ9-Z0D%SWBi6SpP4+A||TzjUW#!6J8Ua9)~BMn*?
zWIH#T&1(MqS&L8B@Vg1JV$JKK_Jgn%`IoJsE1&2)n}_7~4rMZvIT?=AtmLjE6ZFXM
zEjhxGJ_~MvU62r|xpQ&G`3_9}(0c2oWz~LyEBcA=u20Uu^<6ry8}G&ttutE3VFbG6
z?!4nOEOp1n0*i`3(2E(49h=5QCFVnAmoW0RFv@e+ZK|Hp`4aNnL*5!;A|oCe|3yAh
zo}4il7!$&9LX05h|B~n*NrpHbucZyp0jX<7<ZzDf%O@$m1ghE=<!bZsRuP;p?7pxM
zMF>o0<&I_5H7!_zU_#uQtscHgPP91cTpH~e(R)fvVNi+dMAn`z;v+@a`kadDAoOry
zZMVn_F<eXWnyIOX{DV)kYauEb$nPW`Ox2em@F1blnKI>Mn2S(TEj;K9>J)DlKUK$=
zz23#)4%4PIk=e7J18T*K_sKgHZNWl^Glg%?jhA=NbSv!ku}AW|pA1Ft7dEP_MTI4+
zI{gQv#|{i*ODaU7*t&$<eN=PESzH_Rn|A?sz<O&EZ*0G0B>}T8AN`eGRFU3_FIDZG
zk6R{xxG6Jc!0Rgvk^h5`($3sYDl{5W9bLSd!Pc<mLQ4@XDW=l%9@r$WUN8nuGTs9}
zVGD9FU$Sq`vZM8=W0KWGW}Q@Y{2G)LE_NERfTZRk;^2GtBNS&uXzTh0q7#xcuh0Bu
zBgU#{$Z@Uucy&J86hqu4_qi_;MU-OtTu^TII}s~In(M18`4sgz;uAdEWdL2{PGI=0
zW-<`?!{?>d{c;?L_uPirOJhc&q%VAlRU#E58tvVq^u4nC2G4V0A7j%H{Ltp1d<y2=
zn=Eo!;pw1l&H$&)UbUM)({F#l3H|3Exe2@aV|kHr!q`gLZk+v}!=Vmd7>Q!1TWE*x
z2P*21#H2HnVLu?<=Vk)u?T`$54H+1^&!agRVI!x=Ba5P9v+p*7XeMJb*XINJt-%oJ
zRqSAwP0#{a9U#|1i`;STaGp711+F{=9(ic!#l;t(UW)$IO{H7Bamq)*u1crnUzO1d
zi|7B!L^5xMO2Zv`asJa~rWP}UaTAjV^QZq_AxJ4|IIZ)k;$m8-&o36MhxDl>Bv#Er
z)V^;H?9bG$Hh2U8j2H!(7gB3gG^PnxiVeRLTdaAwzE%-3&L<FqwK3+3^cg#GMO@`w
zGki$Bv7+G<5_n0oBvwLPQkUq%uKMFdytwG?R}-0Y_1{`fR%MeiQl+h?zQT9>TKB)W
z7;c`gazZjZ`w76!)p1pdX?U_@^h&ba(6)e=8?R0+WxEEVJ|x9Eol-JEi`KN?j-uri
zKWXsUlcC7q4>7pa-DF~VOkf?PW-v3?3=(}m{1nxtekHG>!a4!5njy7aIpWOKYgdDO
zW&;?etZqTY7YJUC0{lsMo+ACy=13aMZ0DIVWz$#dzDaB8ZmPZ6(rbl2Q!DoTLFNV@
zLn!A+GV(AHNQ@}OAfiL`2%>zfcwyixB7e}KxWIjoy00eG?wx$K$ZtJ#XrtYf16j=~
z%fE^iz~KACyceaNQ@_)FWRsTC*c~+on!;g*>8hcAJIWmJ29gaz#Zz<8$Mt+Dz$*;J
zPq@>+l_T>ZsLAM5=A^+dFY6URc}99R_@DUpTAI9ZuvK!%rs!)ukmhQoGpNJkdxHAV
za^mcm?e@!Em8KVr1co&bvJ-ORW8`W|!pMKC0OS^&Nm>(~U1Q8Y!?@&he`U$Ic;12q
zq$s4F)izLLu(bM|GE+_R@eimja2QPm8Qvi{YMH1;KPz{KD~ziq#_5&)OZ<ivRE>)#
z<9tgQWX?$_Pa|g9C&8T~pJ{Xl73JybrCw>_gE~Vhu9jGK5r>1^JN6|mW`Yn|IlJ$9
zCa-<5cijJG80^WSg?Rx(;;uRz^H_cL1-RKHBIqzbG<zT56_YZl*Ze|eqP8z=nS5$u
zesW-6Xc}&!u@a?;*DWc2r13TOxzl87Dnf0alPJZ-m|V*rBkz&zH~%Zj!g|^vp+;0i
z%jzL}yT<=V;*KczGVuw8{UN%qt=HPPi2T~IaXE|pa%P|9b+o-<dp&1*3X+q1%@chh
znid8bF-&}aFY=-*Yl=J_DJ1@>xEFpB7^<5+`HrnD?6N#{8DhQH<#xcDxH0Ktyu^Cd
z=boVFaf^FPHRBNQR|e9l$kSH3`+Ygrgw5Btr0cejvRr7uDM06qB(G;~z9NMsZCAqr
zJH>F@Z4%}D&hLabE7x(N>zsZP$9En0debG}A8#ev@gfkv*H`SfcGI^&0c(!?a#Y*t
z1BJDOr_JCrmCiiYg50VlwkJ_;ItIg{DR(DdTrNcSWa<fKWsjduDcKr0PaiSY{1QS3
zgKG~qGJH(kz|*R}8Hrkb$Iix5nE`2eGn0|bVlWsKMXQbNFQMB_lU&BtM|^3RnbYtZ
z_W3uCX%Wp>wiWyBg0x($L`FYab0M=%{0xMu`N-_|@dSlAuGH}sgmw>Q;?(Pd2zQf@
z5qUqif!S~)3MvoM7PeaaEIyadjzVXtAiRxbe8+UYFC&*n_`#xly9c)a<+fFX?vQ2)
zpyvm**uig%>N=tn0loj;u+LH^i6q_|!)}4$-#_H%+hVq@p^LLOPKH;?B39sHhc(SH
zo*W8@J{FzE*ijTBr-kM6fbDfCs`k(xcJOtzG%XT8JDi2K`h}<TwXt{iN`-PSEv&Uy
z54j(5Ru}uM4jSW1^=b#{k<d0)yYEjY?`u%GAUatf{L(pVLW&x?o2NI-rNLJfd%`F%
zNIgo~nH^?BT*1b`I`cMI*D=H-FmPi8uB0Gb(;RdyYd&~X1@K)p7H$i-S1a(EZi^U1
z%fuZ?^^i+mIp0F*toX#U+&Yd{F~pn?q?eg-1*`D~ZC^#bD3Y6$w}z^*4`ycH{#|H<
zeVlw%l32`M`=pgf%8GIYt7EdNdCBtWtLg6D4)KBuj@jIfU3ztwrch?74QII*o>lr;
zb~h_t)pWY{aD^-fg(p{hdVancF|~@!UGAR?my<lTeZrLtL#(_MYc%yD-5Koti4t9`
z1s)Dk(SV%-8!$;#guDbX&t$yLjr*g|9q>&hC1_{&nBZ|vWM{})8YeIkLmP>0mL=Jq
ziWykj?efVQ`E<vxRq1;FTy~KfyaEJQ*W?m8Wa5vIV&2FZ*)xx<CM=O1nWlMMEvt??
z<R|hEpTH)fICW2=HzjbSW;>zzzG{7LE={(O>%57TqbiJO#Z_8;_3Sh9FuWitswkih
zgNzHgkI#v<0<ktJZ|l~}83%jknoDMlT`j&`P%z^cZZcEOhks^Lwv7DHto6E^h08CQ
z2`wa1yRydJP3|eWQig&eT2q!=QYyBnnet=KatkQW$KHM$PI<$M|9OrL(<^EY7OF+D
zz9Wb$8Hq3LWuAN#)BSJ6(&B}gm)!stT@*=4h-rtOk543aLEnv(%Ca+v;8t0&@q6dE
ze<h4zf6nm%9<Q=e4v%E*gjdb2IE$2&f2Jc8{sgk!(KC&fOr38$<e&8U_}dAsZU0{4
zR_BCGJ*NF-WBpWJe6T?FUGS#sPjc23hR;Auqa{f+-ZsrtCyStJZzaA>NR8Y|`Z@$d
z*i8+xm2~96#7u2=R?G)F*>M6w6!0ZS7wp=o7KEF(K9fx{t+h(&{(yq1kJr<}zs>?x
zf0vVh%FeiEe+vs;+9^7rBG?hB`Uu;NLwO*;h{?^FhVc8xLk)HEXLV{|AColQko-JC
z(rba+a5dG|wk1hkzo1j+m`mPj<q0ptCVl>oq()GitRXek$iZs2(e1?WNL;nNWkg#U
zf(z6FDJ*+plAFY;cvCEPh2lREAIs#N6Zq4tk!+WJ_hp=oIcj4WbtwWA&R6s0ugro=
zsCjt1Dd~i)ps};Q<Zc_goxflUOim``80HBRM$6Q$ZF2?~`D=a=rTMjnx}!t99-RkU
z?i53sqzjWq$J$iOUUC8`sqfXDcMMCMCh4h>HIz{0?*$|YY2`Gt0*AU!%3*UOX+qtM
zy8-0nfvM0MnO!%F`^_ohl`Pvy71qk<<INA8I_>|;hjJmuyS_sXo3t2-br=smg+6Zi
zt;@ec+k<x{m80T98z=8k<CP~NIQ$)Whc9p|>G|uG&R#pO6^2fx=ht-R6_Qx%VC!`T
zlNXNh=H&Xf#dH5&n+}bC!Krq>-J$5hjGF%U5u7z#@-`fYUiNt}#Rz$*u$H%dwVr?h
zTTpU+xbL2nO5+rlWQYHgH2_C@T%XXH>AV4o;is^QY|sS;(kjA!RD!i)hheaBE<s8c
zR+;SkQ<dp_Qt&aV@Rzp!qF0i=#v%zSJ*NX;)#9kBxMjjRUIchK5Lv;vO93AnGnG<g
z?Y&!*cuCSLOHR%|`NZ2AwQ3^?{Fgl@_0vKlTH02FPxyOum&nSi?GmRDRf3Cp^%_es
zNBv?3dQGp!$pdMDOC^<R2~o%A`*V7D?JCR--RT)ge2N9ffMRl9`@$V8X@Ruo+0={|
z;8-MTuWw{6t{K*RQjF^#9qdAclV4^wDUxE5k?@JV|Fb=a??l)fneW|i+E^lXffKSz
z&-~+M$F8X$-&*~9Sk%>5BH+qaarR4Ai?V<styx@tCZ?@lb$wNr0cA#=9_>o2;a7qa
zoicVN>Da*B&>b;VXb2vQqHTCR(r7X5%P-SiCZf@E7!SRhr?xq{#>pIyUK2{e(0;f@
zX1(iG<VgA)Yx~Ar5dpweqk%8~w44tKib<yuY#(h@PC@SK@vD7<nLX}dyF1xI>-52;
zP;9+b0OS_Ub7naKIlrk@0D>O>1e?&A<GEQw%Tsc4LCM_)KK-;*8R0Td{yA^q-ao#4
zoxD2irs3W%lD6@3t=%<q_}Znqk5$)H^vLU{SXZQr`phWn(&ZrhR%$}u%HJA_?s!|k
zx`n)J_LWEOG>Scp*=)kqg*LVl*Oz{;5!OAf_6vS-CtHG;;BuSh*vqr6yZ16Dq4iK8
zTdcb#!~3@lle`qf0z<*Mmuhrf3V!8hes_J~JULX2n5;K~Z;XjR(JvR{RxNDkq~wN^
zXMAmQMH2ulHO|@3Yo~Z&nt}-#_uRAYGCcVgv1PlyF2G!G)S1q>7LC8zhCn4}3d2)}
z-C$PNWo0-$IxXAPQ)8b>;;d=_pePZ@K7Xs33jQ}|h!aUgYrO!EwfNc61!q4Qz!W`Y
z<<Xd`1^;T%yEdq7IGytaL>tM&@|&*YFYj-mxO-UV+dONo++6Ck^+v%JMvvz9u*|2A
z-UUU|HxOPab60!pt@Y&1*SX39;7GHIgfYjB^=;;+6PcZy8BSQ$#gVEhoJ`4SsxYF;
ziW}b~%OhDHu{zSCx|d1z1l82^!LJidvhEF-#{fH^$bx^+dxPq4)X?|U{iRg=_RPes
zo`7_=K4`h3!0duuOH5<j#4(Lhm?$-{AMqO34zq{6!Yk^$B)2eu&rFZ5l!S@=qZ8LC
zCPV9Lm<}WTpzkqo-G=d#No_f@#7@GC1Z)ve?$ZI%3p-?g?uS2^#>^HQckKw5f?%1h
zSIPSoQqDdi9F5u?GI2a*(bu}?y6UM_kKR?nE~m^Hw)J&=<N)+7{@G!{;|hw65NIb+
zey9QU7*?=M`fFbQyT0!s1Pk*Th?;1@gMM8&>#+NYibnzd1D;rfhe3$vLE1*e@v$Vy
zm)NDv=k=Fnzcx#+c1uRMU>D<uAZOfkC#lEF=@0P7FYHk|#RNn6<42<@mS#H8V^7L&
zFweoy*o@fcZ(e*5oN~>){CC6f7<-3xcqyS@&(xh^J~u`G_zSR(LaaW)lHnm9cMCq;
z+3?mU-OoqqL?7Q!Wz`Z|PLq^m^`iGzt=UvY38yC1hV;ZWSk_2@a3+N5@yy!TIeheJ
z!(nvtI~rZkA4vCG*`j-GH}X#!8+Nm_o+#$RsQ0eM-wFm%^C#BIjbXfA-qbo8WgGqf
z4tL9kSKue-g@mrMRZ>zBL!}q72(;rpWxMpmSZ8&0PBk+4Fo2x-%4WGm0V-S3b{Hy&
z;o%xPT}_`j&HJR<ZvTBeFk-*$lAcKc9-(Np$jrs=x_d}?{La_JtpuVv<RTHvFbxbV
zXlRnhF_}#9MdXEWNuHnrtYqRv$2_T>Il_tsyoF(U5+@TkHOW72qwKZG;`x}~tU_*t
zXlH?jy3f$&UsS`(j4fj@3p;W<4%%LBY!420@eX%Uj$8LKN<P^;&(BX%w3()M6=kIE
z<b{yFT056h8BL2)TaPkg^<}zpWGVXb7Fy!LZ{yGO0hErmS^3$-_0-q2bwuqx_jF;R
zL0po(CK`bVX{~u>^W)&%OkJFkKa_LEmV_TEkX@?7$aP*4VFQjNofm^LleuG)_NC&M
zK2N5MAoj1o5lW{wc_TZmY<}<Aw?&_MV#ktR3lyxoz6x&Yf$)jAie!C*cuzdsjbWg~
zCpi_AJCPA(txyo$H9NmOzorf3+!cN{`se|<mfqW)q32G1$TR5Obbqw>i~?Dk7@LAz
zbpnn5<>UcebqZ8IUC^p4G~QQJ#S^NFxvgucDVJM{kAK(g^fNj<JD_{oQ=a52v0D9U
zW)5PxtQ^P4y~g$I+L8R4S_K-kdRD~K%_XF=8#xv7+^@Fx&DA~Zrd`68V6*fqH47u0
z#*yjqe1LLJSfhLv69nhsuWZ?Zq9pBJUOWbk`GLK0%&&!FC+f4ILWA8FLRBH2-*`cj
zM8-eAdOD}245>5L8d&or?3F2#!I~9v5!RvFQpRL=!fIc!O1yX_?q@%*=2enh-Wqpb
z+ow|+Ak)8zge@7*0^}Z`PU<AS>46NNrpQ}D4Fpq6xB%;{iF>}vpo<^XM<J$f;>zed
z5$nr<wG1EVl&0kLpc0A_OTdIGRwN6b0QX>+qG>mY-DqRuPi}809=!7P(OU3o;|v-F
zUXE9oY}Mk-T$KW*F@4JB6A$*kevRgp^`!4<Y}3@9xL*Z+{1u`q#<$sS3HN;s+XPmt
z>V2&)n-=U;1%wSfK4w6N>J{Sv0uy9na%NN#9LKc=S(UOujv{o)5#3G+Prnqd#q-@X
zgL`|-R3;zvSoHiOAObc_=EGMhs5LgFF1_n%AZuXNT{wW@T(j?l8wbQ51e|5wk&d|!
z$3lj?a_hdE=yz8YeexQF!sz)hv8tHp%F0sEb@eAX=m_Qq<roj6>N$S`s<Jr#Rb)K<
z@4IYwy%EYxBZ&Tildq@ut?}WekKFE*s@<T!42s|g?Y$FEtOudYR^I8w`E%t`c;&Ni
z-eI}seAg^$0dmmhmyJ^rgV?>ZPQ(CYWb<?O^PQ4gVXvzRh1q9d{9JFM#=7=gyD)#)
z)DJRQffMew_6k;VA40l{BI8pBsyx)KUF7x~*9mt$faijH_Jnjh9mDEAS3%>W55Ign
zZS~0|=y88Gu@WAQ?TliHG_LX5qJYssuqbb?_h@SADd|X^(!qTBLmMno(!fJZ^0NxZ
zpJq$14$HJ-Q3s)5h`}bH;FCt>+7W5C9_>hE33MV}>XHN>H!`4o)t3T4(4L+L$H6Lc
z1Zpl*b({se4gE)c+!pcN^DYEFx6%hqU8U$<zt))j6QAon_(FAeH5&2ck~e-`n8g==
zd8VXgxH<HWq&dFzgIY=6EtzX2l}5MAq$}$2H$b&fy!|sYt9t8z-{{D%6RQWuRUzEQ
zS=6?<QQ*-Z=)Rp^_y1t0nEo$zij9@ye`Uf<gq*CLO#eImzw8tv0~;I5|EF3wwhdfC
zX9JxsM%cmKl10D)8hv|*mjj+<F}AxK0^t^nqN6)3WdD{<Fj%-j-0XCAx)-4TqL*96
zcc%S#)4Te+T31%8qG*oJ8lC}CN@!qi=7!GZ7tm3J&5aNc8=D*&8w;A5rUrU!1N%J{
zBU26T;sPQ#@C|@LbO+1g=wBz5$<aSVB{B%eiKY$6MH%=_%g+tZkA)u?92<Mf7l<I?
z7Z@5rGx?)n0z4r&AV6WF<rvW$PBO7L`C*y~@BulW!34VY@!^s2F98*~35X+PMqv<G
z7}<cacxx)kjHDI7GlBr&^8UsE|KX-KH~02aQ)6dmM@QkNK#wRcMFd3|fIqeYR{-S#
z#?uWv4cG$*O_8|{@K+lPl7XFX0O9<xR1eqS=+5K-0j7u0PQXIEeoi_7VT0rX(L;x<
zn4$toxe46o4@UciGXVKs!2#li{n~T!HwBP`1Og=37@33DH?jkG1q`GEz$eh56w;Io
z9NpZ_Kr#Ym{2{Z}xdindWp!i){&ND;1N&cZgAtNd!7zAI-q%0oOydf^&dSlq5pL~~
zHT{-(UNn)e>);xhLxOR069IPf!6yD|=Ua3`Sml>rg@AJe_5J~;5ioF$-V@E}UT?Mv
z68uk?tQpxaq$e{0Sf>e`1+rsfW5egO1DXd0a$#>a`jM?aFhuws{`b4}trQra&O3r{
z@Sp@X4`~AI<4NSrnb`pXJR3(RKv3_`{fk4?+zdJ`Xf_L^TtEgD^NsKojb-sb;m7GC
zp1>`Te<SLB4b-+bx2F$5|Hu>`V9Wap4LI`ABok$ARcYP()_mCGV`Plr9*E9NMj4nM
zoPpRsI{c3<dI0wM%@!R6dtRek|CLMy*A@W!?=k&aDh=3ZxY9q92dvpJ0R3i5Lq8I0
z5eEDc#P*vXnK65R7y|s&J_#rR{vd#vNB^aFfSttT=;|v1`wzh{AbxA)kIB`8`araq
zZjSzQ{eK}1kb6Lw6(}G_Q?!6{V)WL(w`rD~-kA`lt>vdXmXLxnfqPyD{Mg3qrCj5;
z#rhYYNgENf0>lyIr%x4V`r5_@aO9my!<?O-J$xaW=-&}QAN;f@Efq9Fc-l`96Z}Ox
zFtV^P0-AXvDuKJb4MhK%uE+w}1t>HGqK3sh{7wS#pqzs=0Cp7l^)0gB1JM}u%l;Md
zp(p;tdAJABNc|P-!39!l^+%)#Q2ntV83#3B{ebK}&ioD5<Cyss+otDZj<}KT1T;4E
zS7f2R)4w;xjq=}*T0YQEyf)RH^b@iNpgq?cumN55XZTYH|AOmh+yKBkfokFaLG&te
z|1GhOzmQHn$6mj{fa)JJy0|!cjClgkM<+JGp#Qd;KmqqWoTnkW5jmobF3z@}Hm%g*
zSPwH5hiG?k?&QFA>;C$|BP<?cW+4@`!_0#g%ZD}n>0=t{PwE8mXz`k%G_R3{b&=Ip
z?_029&*q36&f_=7@4m)Cp~Vi+2DOqIe4_51IHY|o5Y9UKIUVPw4kU)2OR7(fcDtYD
zTUTIH>0MzncU8Bl{fQ#}BzdMWOYt5gs{GPvrr8Xl5)lV;G7+N@z-2t6uPbk87R$RV
zA=*Fq+8K5D<DayB?$Pj0%$ZauM7T0L5_}>)5!N-@>l-u|edABO6PU9enW$pM49zg^
zN4%3JggDZ~lT*rb827KQ-fHn9Zv?XV+Et><?ZAB8!48f;0a!_Xp3=?Xi-cnLCQ;Yo
zEpJe*TUALyNxcS*8AFEGn(l5pGu^lo%IL*Ap|XF=olR~vZ6d)vuChbo#YgLN)6}6)
zhR*iN8LT&#zt*Yr9}$k%2eya{ql+Sfno1dH3TgV&GovB;%8~~cqZ*Uv>oO=TaV(<T
z_I4!0aj1eV@V@TYywpX7?H+=qPnDv-pv{84yzB>s6g!C~Zs@X=inYy&PDjR;M+50(
z!Lkk^VFdmssvi?nmuP;}E;v=_PCnsZjp=sM-lzLf)CPd81>YsBCf``<nn0P=n_}M0
z_7L|C<ep}JSI$<bSKXz486UqCGILKT&w!Zv5bIU!zfv!(OuRM!^%tz%#{A(jUaZJ2
zWcUd(>6v_#9R>+JzM-e_deSdxvhq<NzQdd}BY?@v2$JkxDMqpXzS=w1$cmw>%2goi
z`?93C$sgSp=W1097t~p>CWQ%&VBXgwgC_Q#BewK(;nVbQN`Igg8nu)MTAghwtKxOO
zH(AhC;$@?~XxgI4A7hdmDH4U|iO*}aR1$%*FkHNuISx>P6j*4(d5u||u=`wwJF)UJ
z8=VQa?B8kKCb?7KEDGj`6=nT`$PtI}O2bxA8LFFJ*Bj|45b^v@!MsDG<aK$Xef%Rl
z?;5CiPK`}K_nHoAqn~It@|Ss<B^U{m^N@Au00HkMsJ<h?dG2&afd6d5bUvznk@G&)
zYe=S!bcR-LxQO^E7pmEeR4vhgVLYRk2QFDv+cCNAT7vQK_s(I-0@=^1;s^I@b3$+A
zM>l->LtP0^tjUg3|BUu~^!8od*Ow~ae4ljWN?p<=15|1)em5>*r*||f66@u$7-t%(
za769&MESdI5=<HSoGKi}=jGEt7-F#KgLp$={D+85$hr|8<9Q`$&TuA6G>I{70_x4R
z5LFdw&24Zy-l2MyyoCnTPT0+8wviCGnjxvaZOZ^<lnIDFAyI;5gDK_`fgGVpGC;6-
zR{Oq*0l^6M%XD;f=_v)-u`d|PmpPk%yq@I#OEHI$5(`~CF<>%S1jT$TGorm&28!o_
z^rE8~xK1{{Ou~&V9=!a=TQm}d^qEl-=Epo+Af^f1tXHvH*b&PO37OKA2sH&Zb`646
zmLl1PARGe&=Y84CQGq@7)T`*wyhN0{PJW*85SGu^R+`R{dUbW>To(^+^O4`NjOQ&6
zzZKgncw&O(fnzSb(D-Cf_ttz&@(X&3>L<e_bv#RQ!<VY&!irOMn5@UMQMpfEm38Cn
zB{Z()l%hhzTR#Yy1rV}voVPeW_)kq@tM%s*GxAU{z<QCl!^YF$RDzpkx@QNtA3x8N
ztIH_S0A+ZT<Xu`UbkE_C-Jkq1;T(Cxswufjj}ixX8HbhWc0)8X>gR3OaU8LOdn6mQ
zs*nDcJLV%;a5K~9aTvJ}+w$bEYxLma(J;moHnU(k<rZ5z6pyp-(zK_j{7!>B{3JS-
z5gcnn7Rn)dQV)%*MboB@UUjy9NqMxKP|~YD>wd(_wn$t^#6bnphO%~REuldnfs5@V
zPHm{JE2W+uy@$1wNL^X#oCsqaF7qFn@9Rtz$M&n~IyX}Ofvt!`JmZy*GQp7Xr9yO?
zvCE+7OSkI(sO+QaA6e=uh<R)i4`VW5E{^)U3lK9U3#gRyJB$YRq&b_&Nw-P=Aw^UE
z>b`Jocoy5Gt{}WTh)UZWHaNZybU6RLu-H@YGC$d%`@W7!793xsQNQN`V!gQR?jG#H
zMU*rOx&bAvGA19H9KQYGq2(VVUnp4Tyy<RN;u0j{7^qz~=*|^z-lY#N{tHWY5Yw(U
zl=XpxdeE+5?Vu}-U<BtPNDKUknUVoAT4BoW6R5$UWP_*x{eC;7qUa^tzGj{L-8%`?
zh2~VmI)}(}s84x^tlW0q`uo*CYj=bj3NO1_QZuJ*nFog*o^A~6{1pBE@Y(~I{eMbD
zp-NX<|9R$nm%e?5!|KFbvaJpXo;ULp8tImCHeI~6#Nqd0pPQwRKvBT&KvHi6x$--8
zBZ5Aq?z-nIb~-dVQjOP7))^Ip<-=&zHS21*h=H#VVl0h~MtE0i=C|IOMet)S?Ki-9
zvSmHenDF<t?Ix268AKHT-w3>R-cq!AaciQN_c^07MOdh#_oyw>?7<YGy`y_JW*|O>
z$tolj#v}@onF{s~D9yL!IjZ@BUmo5@YkQa3f%pa0R=u`B9+4yfCjgHEcbU&A1iY~F
zDJOLM?*TucwWqan={?9=&*a2tx05sg$XSb>ENfUW+ZAYG)R6*SP9t{oTY!F$R@7bQ
zS)rm_4P+Qgu@b~A3?^WLiWkfNzFYb##=uD~>g4!~Ga9$~s;oPd3$G5&e%`hX_c}rf
zpK0>&mTNwc%7`0AS7}$UxRN2Hslq(_Rv;-Z#BNEr6VDeiR0bc;!U;8Oq8Zt4R<SLx
zndM|F$+2D<3t)-|rXu2A=&jfOdIb)XoT0v*;p(dJdn6i<ckW>C0(4q6d|%%?eq-F8
zRqDiiy6jJMR>cds*@Sfan;+9teLgq+jG!@kh4?ol7X?jKVC4QtJA$JDBWTCjMzyYL
zcwCv#D!k_X`_Ya^j@REyQmgtxh)F#y=}6cJAR0#_i@~;zfX}h;Ft!%P9wilczgq9+
zW@RJzLCcG&<WcIcihZMfu^Tx2J%(kUg^t~ZpMn2liQ7The?YXs3u78iy;E=;I%#@@
zn4%5*9O<HcIL(qLZy(En3f>BRe*9z6Gk&JW+#XAlk_#nhTD2mO<JqY91E#38HQc{p
zcWD%8?W>-=BU$4W!85n&ja5g!PQg8^TeeqZ=|0k^>vV)Y<AqUQpNx$4Ng}(d%E}0z
z&AHcL7+;!Q$g6nYTPkH{D5|uS2|26?N<LUECbsNg_#-z(xA`zq`nM{=d7y~is^sQe
zsk9tK?(#37SGiGhypnWCE^0pjvWY!qx0z`n`(<vg9cwi3<3enCLx_&A(!poSM-8Xc
zr>b&&gWmlefwTi#*l33lAHrKCc9-?&dlAWAjz)GZ+#WO5UUYc{%edNmG(fS<@+i=6
z+yqCir!6)hmmwbvlCmj3n^OS@EOC?i`o_F3u~LaxXpL-!0S)+i;K(#6rJDj3AuSgl
zbJ`Nts5S`8DCE@j)yQN$VBi~k6aEqR#^cMuhMvva<OvHq(WMIEI|g*J(T4vxAet;v
zHn5jhO0$ZT?dk-wkc(5|x2<-q3x7!SifkA*H_8;DL!@q6J336YX+S=Cnlz#TSe9~V
z=tZl7vF&8>Q$>^H5QJsN&yx(wboO5S8NMnxzabHYyc0)QopqAFi+1cbi+*XQPden`
zU)x|Lk?hIdd2`hGo`x|s?2>|+fCF|_*8y%%MxI)eEvy2M)jipm?y$BerR8SV6D<dM
zvD-cRiwrN=-;DwulYR?&;|kVs12{QnW3e4DEZw<jH#;X%SYLm*&(4USHacqKuPQKz
zsVi?n?Fm)wG+<r4g>lkagT1JQe|EZ0ro?2KCFB70I*ZCWp=aaNtd17Xb$f|qFE_6j
z$gVKYV$#D5_kpbI#aK?5zvhX?!lg=6@lr#O`h9(DDCEpRw#)gBqTS5SONf{cE%*!2
z_F$S!Qb)=;U<a%>!NpogLxQz8{K~detXHDXSs;J+`wW7U7_>RHP~!MiHriQPH`r;^
zOJs4(N0RAP@L`5zC+uxmq7C&)Rf3S-QNPOFmgM;|`?GHRtvyVl`a!qXD(N2fyNhQ-
z^48m<1qdr^6H*|tSJ2O*)PX*oGOEuDzxASN>-`3TOfE)!Tnh6}9K9UU?x;OLxl^3j
zCkS1q2N2}_0F2ruM953MTpXEfFINHCGf*3Pv=Dk1*ltRW8cA5&XOm(f(i)@-UWLDz
zs3xpE-vusvM167V3XU&qqqkYB)x3TCqR+k_9-LU)sN02+?jwtnSvsqysW+~tJ^Ex4
z?z`1C0bW^?oa`UUD%i?lDUTjXb_N_YQ&SLBD^{J>Hh6r<?Ml!3qWKW8b24+X_5&V*
z<m?md`3djZX*WaXdNbu=G2OU6V#O`&$g{VM&MOb*UaW`Kc)(gSrSH!tx{B{Ke^7uo
z8U{1V+&4=TG)xgs8@o&rwzLZNk$GZYp8f;ctl8oz0JhNYeLP#3VAe-GpiDk4c<!-c
z$9J~uZ3w&$^K)K81=ip8&r(6pB=dHedI}5I%IV~yU7~_?R0S~lx4|Z%9N2ex+_PUZ
z@%Ta3>B4x8p3De!UXe+Y4N$d6`n2o?rqKQd8X|y>`ON+G@9E2dH4Ei_J#R45LU#9R
zLsT_ZSlV=pS9VX|#*N^rICQxIx5^Yvra(fv?fIs<<7jLFdP(#Z1G<;nodTopvENj8
zZkYJ6DRx-pn<NS6=Gw!vz<`OvqtXcymQ=H}68j}~RqDmV&Y$--a7msjTA4PRC@n*T
z2_&lFV=#@3XJ`2M%6^AjxxeZfg^KLm!76BUeZ$#vk}W_@q13z81N0Of^n?3W#NdPM
z4nmjwe}xLm1WfT3L1%kfMJloP_3$Qz^cfWOXGN$gYMar~!iluUn`>BdAOKmSjdxQK
zuKHUp^y=}A&cm3kd~_Q{PsUk;Emjr*q%W|ZEGszYJ3$6$4H>J9IMRxYVm3h{Xx{oO
z(~xijycL@Up#`50lqEjC>u5g-OQcLbv}azUU>*tQb=f71S&sG}1-JjWI%JR75{R*s
z(Icz71MR5cSv@?m^V1HyEzyM0TGJJ_N?$bjB>cscmG`S;PH4ZXYtw=xh}U{w>}7Q%
zBT#c+Rp=g{BMhkPfe24kx#B8q`W`IvI93u8{C`(%;}llKZIWt{Uaq2<Zr8}(i}{y;
zdtXpBFSIUlruLU9vo8~wNu`gZt;-*i6{~HLwZKhP&p1elS#?vcmdPB1d2ub(4!U3~
z$%0_kyjw{{FF~~SWG@Lo6(tzLC;8(+VMnCCo+GsROK|);uUEwx^*|G&X~*=1<=Q=n
zgC|%gq#;mNjVy7)NEIO|kZv=Zuw=kx%JlS+ki^y=-GahziX4iyvN8Ml0P9@;F&5fn
z#Qj=rQQ_>q5?4)%{3id_UsFQ8%+S8q%`6VjH#96_eiOeRZ0$a_JQgh*-Yo%I?0t&%
zi~Bf>T!T2RVd5g(L9aQk)0@#?uM?aGrlA*S1(f+Yqz>6C7Bw|XM|Ja!(xUJ{TEMHw
zJT<)4#Bu#a$6aZv7FXB6v}5uWV0hF<#@Qfr_+Ig3cPM^&?EVkr>px|e5HZ`AAG;LZ
z)NJ~i{@uSims{5|(QLx>>POs$0F9!bRNzd-eg)AYuo)$CW{9?%dv;DxWRGAZ>vR#%
zi$0GlRm-zG5CIZ>_ieJ6D?F7Q8mVi3H;GhQ*1c54rK!<~p0F3JJ2W07l5!S54r30w
z^A?Xk3TC0}Xq{p@1{&haYe665f&5MUvKzE{Dr`fTju7&qU=ijju|?k3BGAfkRm#Qk
zEWMBFYbWt^_uzQwlN#}sqi_jl3u}3R$@Wy3VvnV2(_sL^&~)-{&T=w!LG}xHnCkVW
zMgbd7@x|)8UGa!&!pI1p?boMtBdHW#g_r=e1nycEwOFw;F4~zlkbG>7MN~09jh7P&
zndronQ#Z2gxE(pJRIZ=^RwoU4go5)2OGl@Hz&!`X7yw=`3*)<5Z-~h93GqO%5vbfo
z>qTM~)tTj|xln9O1=K3Pb@YS7K{frfs^f_DD-wit0Enuea+poBr6%pei^_<U+xl?}
zU$ek_mp4#`f)T~Xl-`h3*pTE$Fs`r4Ex<-Hy+W7QI`<#%c#B9-?*p?!#zV^%t9#_2
z#^^^(w))dq)jGJJMJye+K7rWmG`%`MoV|Vb<H}~YzOmYAI&rn>nh*P$SHOTJD!e02
z*Zp>i((n1aQQ!XiuvmRd?cW7AFjwxIt{qf=P`j!MadFAD&|HU0{pXTsHFM9*AMBkr
z><lNa*jgV;JQF9RKFa=%k)b)<FsZ!~uXR)nM0i>z2>dTIbxwt<!(1-zdx)wQ*Y2D`
zoqx3+F}NyZaKIUhapa(yQu6o$<i4iLMTtm3;Y$|wO(5ov13gvq`JTKg``%)HxrX!W
z_QS;*t$(^uNtN;g>R8J?7g2&98Ew(Z)raBGO%5%zY#{MStJ;$kAeu*!90Rd%ZtUUr
z;!sB<5O*aNST?3GkV|~bz{HlV+k{lA4NIgD`>9Fr^W(0b2ELn`LUv_*-!-e_PSFhJ
z(^?pVY^T|m|9VLl5(+8F%`jp6gqS$ZXXRUpX~OM*r@tlF+QhMq=Cb4SQ>SkK9uf&A
zUcMu#>HZlHyx*pi?B-%s4)HSL`<0|0Q3h9UfrF-FF*lztXv7~_qh5wnaz}I%3g<2G
zdadH+F<hPX72ctV40JFq=NHE}j^JTN=9BzF{FIw1SPxPXJ6@NxtFad80dz$dp~PJ+
zEh-mD@8%x2Or>6feSBXN<A?g3qdZ!kKUfHHN?G9iIyl%9Mc~jLC>?Y^Es|C<{d)A$
zu`N4)(uIphl4C5w1gO&w8wTV8;`>wor8um-mjQR53d9Kcnn;fGQc~}i|NLIUV0D2~
zMt(@7yu^>ON}*;e&@|2+?o={Nt$7vJha|zD=<C+KRhv(h8}<u>5v$Scf~BI{Qq3g3
zP`$!hidSxS8nt1_TLOyyz)Yt@#G4o(X#c0GmrK@K@ZC{O@j`gv)pX7B6Tl-WzC}$_
zgE}#POOKZ;pG%zK*}rgUCQ5_qwp-s~zN+j!pIE(RjR&2s_5Sxq>{}cQxe`@}<klL+
zC5=m1I8!gZJnMPZ%WLxJ)CaZBRWAhRda)DOrzyn~nzBRmc)=XvtJP=DO5oK6o<OXB
zN7C@H$V9{S3-@2E3+ZMBIf=lftHXU^Kcc(t8l;*o3fpNtLw>X{X4CCnw*UYJ7h$XS
zrQw0Q_s2;tokX9_7k$4X4u56^Ac$vK^I>HnI^Q4`>O4|NB@kue!HBLcdH*^aHr;*n
z0~87lK)TZU@u?cju8xY-tRJ~6+NwuQX3PkKj%Z0P>#D3MObJh{yP!NZ7`5qxY7Q4g
zLbhRwl`l6ctOcK#Y11SO#G0JttzD+<SUcU4fRv)oFsFY}Erba%80z~ptmGNbu`InV
zTOsMECMva<Xl5nm-ku<(eMMr_4yBUOkwvGYB7RZ>z6<tH9`;6Pol~{P-=3F9dM9_+
z&)hmkuCZ&b_14i6&7k^PpE8Tp1Gm?Ql9AC-a^v-7`Rd4|#Fv%N_r;<-{5!Jda_q>5
zHUXAML-l|)rtvpt5+9_7{St8r_i&^g+Rqi2I#EB_?Qi|)DPKE&v!tjBTHav5&b{l?
z2T%9}7JWjq_|U0;Kbyq;dQU(WeOxuFOcYcv{Cs8KkDc7s3<^HHJQg#ufb*Ad#A&(S
zP5u55%tDqkUp`9&rX}tq(HRacJX?0&$dxC;p+=jac9oiDaeTUXvXHg8MxZxA)PI1!
zOs5|0iy~!aPNXn*`91z+6HzUSRXK$Vr*BBbJE{Ns{ws|o%?=#}7!{=|e_VM|{oEd?
zwEIIUY^oP8FZPPNTSY@|Y3b`blzTZ7rnhl%<}aeo86H#x4|OqR2;_Wb2P9=6zS;%Q
zS`dsppPAv-hx-0f&gsL&i27VUUraL0QMvEtl<&Kj^r19oY8^Vb5kb0OTdmblvnHO4
zeE|=zqd1{Tle4@eVLz^BaMS^2VpKF)o*WMCMxw~S!78BSJ0Kd-nid9wb)~!iq3j%j
zM2WU-Tee-NY}>YN+qP}nwr$(4I%V6otKRwXBW}ctxSh9qxmwxDM(#Don5S;@@>M!q
z#eFDuhJHeLvwH8eo=$r1blsnTA>+&RW0>IIPf^aoqeqMUwN7@rFVs2Vr`q^zZ;?u(
zzE`W@(*nLv^@IiVT0<q*#{Hy;qJxIKa$-v}@(_)aaQ9lHp*ahGC6&MA7R83Y)>i=*
z7<q(s>k5sKBVfAepm+)&?l})I-hQO6lebY8sq)m7(+tO)YpK2J3bL%yR*$yvZbNQb
z8gLC1`tV>dDIED)@$#R%Wl_n8y_+D(1;*Ct?|igx{|-b>aH8V2Ls9g#aG~kcp@14_
zhr!b1o_I2Ym}gnA(4xv>?lRbXaweV5$7`xcL@<0#`@$)=oC(G7{+=C3D=Fv<^*h<l
z4r|Qm+3wG2My{DO{^3b|OYYN|!Q{+CYyDSWUK8LNcXqQVelVAkduq5-ZJykXz!`=I
zPM&fWeYRfXig)>NUI`if$ADybRm?zeZM?CKqOCuMq-k!_w^1+!X2YoQi<DTd9Gn48
zDEZrkVW$UXgNGPx;o<Li`b^0~^x7??1Mr%mVPW|9c~y=t)a>=d2I10e61k`DaTbb#
z6wbicS&*)+rQE@mieeKPW~F$wZ(j`2qNi2&cZM}64bj0`8)yMt$wL|&Z>jSoXz$6-
zs@q!Oj>yUsa2_G9B`T>@WhVlrt5z}XEo{i;=`{GxRN|TeB1bN~)NJO;!Zp8hcRG<z
zBQePGJ<VYs?yHjTZIqVfO8|^FSsRVwvk~NXX=}nIIJjRXYQ)wq<b4@~_0M@`n$qkp
zy^wO16I8nPNxy!diSHX4uVP7KxOZ7OwWKowCi%@HewpHJaga0pOwwnNmWkbBQb5Yb
zmWiFq@y|P%But+x!GwS^@9Jd*1j?}~>QX?HTI_@ngslozkY)pH(MVGDLE?xV&t(kG
z=*l!}P;j%>Mh&2=PABjCONi|UQMQ1dskRP9jTU@RPbMpp5`VoD0bDd&PscLTUP=j^
zUP#eso)=BcL+ItagfQ<)IbNKOLJRy!s7K<W_(ZP@o$CgOIr+0lcvUT3VvyW(Yp{l@
zgO<T=%<N+^a3;xa7(O%lVMC@gW+Ve5`n9Hjr(e%CJSK+){#}>FlB!RODcdaWYBCz@
zixju>KFf3a7Z>Y$850>_M{4$1WF!42RG3{&1sHkVCvmq2Io({w{7OaGppAOCto`>3
zO~-_Y=FPc;(_kDBNi<>qbW;iGG>f)O4(XAGPKiXfHG1-`{>?Ie$->(E-15G?wBcxY
z9uWODfn^K2$JD<MP~{l*^cIVRxy<bAJ@szO5L#auHep3wMu>9UFICJZAS})E55v)i
zNbn@>nvm78yMTi%-{OS5EzFf51zU?+L8KWE37cW!s_NOjvbsu`La|*MkCJb_34G0I
zVv57<BQ6dP0Al1G!J%jQjMw5CHoL}-Gic>5pGC)_aQ0_9^GPNrd0{JyI%Y=`s80gU
zg5Ut8>2cVd`7wq>08Me9)u_#gwgygXXQ@{t)#A&{DZkl{0z+~?x+$8K(N5v8tcB@b
zTP+Xi91)F9ElRB-ts}lf@Mg?{f^%|hYt*^NtQ`<{Vn#D0`Luoto`frMQ%)FMGS<d>
z)aX<dJ*{u<%~YyNuKjtd{tVJQ_SzrFCfbySwd=4z1Q~6Hz73LV>al3B*GUkQ%W6)p
zJu$d!V#9cQ?BHx>prRmrK33IqVogtq>KaIFoHG5jQ_7&!E{x}Mi6Bg}2-c@9E@(8|
ztLjkIt0@(7cuJ|PNjRl4a?nza(xR&-7G+z8QME3REaz?tIpmrIi<EXq=rt5sis_xo
z1mh|S7!OfmP~KKjUL8pwx;s;wxH=MZq=XgCf)VrTjNFCT8RiF^n|)Tvt5!?k%ALMr
zF|w=_o&>zh!2~>F4O;Quxw$Y+NGh{<0V(f;{_yO7&OC<b;CX;Wxv&6io_JSJY5f!s
zrX>1yY{&<t7g#`(5;dyNul^C>$P=p;z+15!Hzgxma00yqDnK}Sq?~)>D<{)DUPjum
zm=mAbSbEA%k-ILozXgCWvQtU&**Q7k)CH@t!ju;jBolb9K&ISJZZy`a2BChTB9~bQ
z@~5UYVf2!UNi>m@X;=~k7rjjN>*1$q8=Dut%Q;QmDo;jJ-nNJf>CeuJfy2fu9p^Sc
z(yppW#LT)h(40uw971BYhz)mw&YIQy2jQ8RSd$=0-!=%4xhWf~<_00DL0$Dskjv-h
zl|vVq(gzh0RNQrEQ>tSTsVYVthn!h7752c2&sL0`jGT7d%+h$;d5~<CPae#iKD1S@
zNC#6$?0rblcxwe#Wqfg*e8$8ZW(va3Lr2b*p!585EAN7k7Mpykt)D-Qs?zS4pRVOc
zv$cS<X~T(>ZQ2gv6B}7yio}e^Ai{)(`3t(c2NI%@2L59dJy9VY?a==Ua@g+(!jwG!
zw8fg;amEM&0?avdo-pywo|i=*6qLf0nI@7b(Y|B0OhLK!avnW$(>}bsACq|<Qt^UD
zK$Xl5=S*rM2hOTi4!4>t)D~WP^<K;(+9c<UY5ri`>=S%bG$D%rseWaAQw2{l)V%&&
zQ=f+bR$6CcU6F;=E}bX?a`|qE^S{ru^4Q5i3C!ZC-=oIHHkET-{DWnquU}|&suouW
zJgQ#JgKk7Zzl<`n8NWdmwCt%SF`jQ5=NZLvKq1IS8Z~4(zBtTwIA8c2J7MW+ttHa>
z9@8m1AN%YGxlemy6moOV>+xJItSE(gb@5P&HkhM7sPnMjW*q<nrK@wf4B4|Z$RZuZ
zGP6MnwQG6`Wfw3A#n0OLr}|H2S%uNYgW00{UMI!?5*QHQ0uR&qzmjf$`@z5{3U#3)
ziHe*@ZGZxNfTo~{SX`Wzuj+R5qaNcthXd&eU(%4j_P1eNoWT-{CM3jDEw$x~tg%t{
z&DRT@l8<UGavq+paEcX8DHoQZqWwQaXLMYci2^(o!<UP<d4#G)SS|Ou3QFN1S;1NH
zW$O136C@F@aawsvX%iU9g}@X#$)p9DC^wnZ-^9BWlRlz^X9E4LZDwAor-Ry5i4XEU
z9ws<=&hSo@BWWeu@orflIX~x3J2|85!-P0YpDwZH;t#f0r97)**O(}|kA)Y!d1Otb
zvg(7gB3wLB#wOA`XLP1A%UwJy#*z&0W`L%7w2_b6_CfcTB0c83Kl=7r8JwhrXNw52
zT>ZHU;ptwLB8jO%Pft;X=n~SDoUGP0Rpgetu3NxmcHvI+&skEr>f36?pIfIbR%}PG
zycn^Bl;**tvv{axn!*?hE);nyeT(-&mr)BD=pp*U5cA?{ZmTixl*i%_^`isZ9WL%U
zHCFKzZ^TOpKH)emZ_3>~W&36hZh27;trWvK5SsXgGu?RxYAK8@zz)s@0S#9M4h};1
zMyoNBNhAa!11+w62N4KcivhYtqs&(mrfJMh5J<62ICYXMGs7a)mO)~3$pey4p{S$X
zzR+Rg=l+O_ZIs$CmTnX%vVOiqMo%BE<cYY<$?~Hw_&Spr#blB<sx_L=O+TB@lexr?
zN@?IROwHa{9Q-_^pb|&hpsK;2E%%{JFlLH%g||)Jt`FeK<womynLZ|c?gwD6xY9~Z
zD8r=S0T#1)d6nvv!YbZw$Pr2aNm6oW8SNWa;Nj@GSd*Ic+RpC@%0NuwxbrB8;7Cb?
zpKt%dlgMA{heK5?Rl<5UlGNU@Bt&_>k3o4(zbfwxnb=9o6bIlv2|^<1yBIMd2u5MH
zeNa_v2HkpDh4v1=or7e^C(qiure6k72f{WqpIbq<PdS?Mr`gv!?eKlcRJvIEu+~!y
z2t~AraT5hh!+}fa5#N@Hhb3tg%f8-Jl_5>B5U)lT8pQRhjwNHzIYX2>%{yWMy>S;W
z+-t}MtViOv#ah9At4v%&i&lan6pVN~Lp-hArhLJ??Ut@typ*(qUl?kYW<Q7bGHUkN
zj3m7#*3gaHfey)<u^r8Z0TACpNQ(HFddWh!^tPs_ibiZp5wRs&qzR;C5NG2>0FrXL
zZ+9xpDayJ8FG4@vFnU`|+o?$ouyor-s`A*kuL%W)W;medfEmheh(z`wrx_E?kAK)G
zj7)4r0`bh^zigx{@)=!~Ide^;07+9f#uQsF!&++`h-te~;0y8VZbgl;klg4EGpg|4
zdDA-VH>rJ?;QdanDIMJp$=9J{zI>s&JOgNBp9*T&O*w?rGRm?(Gb)@;-fE}bBnu{8
z0#@H(1(bH&<PZUzpm$AuTRbBO&*>cy+x1RP9m+h^QWi-d0PJYRxMgg44}-h_9q+L0
zQtBKQbrw$Pm#E%{7GwGsdI#&&guT=RNbO+o24<C2jtwnu#~n`Ux&`Xi$Gym08zS-;
z`EZl&pzC2TrfE>pPMRy1cl`Y0%mudf?shYj(w$>y&m2&-8==wnVh+SgOI)$a+=Jfa
zXL0MnZteYjwr$@mHj#`K`lAfialDl?(zzGhg{oa!;QQj#T~834kJ<Z|i@n{cZG4Pp
z1p9b5j0x<Na|V+^o9&pH#JUo^f^;R1^0SK1-I@2<D5>V7vC~R@`MPK4`~eOmLLFe`
z4+R(!GgBoBor=sExsbX_!Xlfo?NNq3<BFBLTr-Sk=A}Vq@$Ayh^GPmrU@_+7NN_Ci
zsjCb(h#k<I&r!&cHi@u|rb_qU67oEy#3QZ_UdvNuxoFiJb1YC~nt@X8{QyV<Rtf$~
zJe2vr#zQ&&BhzEVXJBApW&5xBP)0_U|1Z~rq7${Sb~bUurxUd{a5fP(F|so@f#T(b
za&mSwF|dJh--u}gmCw5Tmk;%FSk<Swk#%reH3S3#fke}WMxjA*bECK!*)CuofdY+e
zX}>g?;xNm5{AGHTHBG$L=-qj)e$AR!s<LX3ROieLGR7g0SCwUjBk)g-Yy~0%_YVrn
ziU|sWj>*-<f@uN&mWmavgLZTP<q{13F(5bw0ut0S{>y(BRS-!8l7D6jzjp*?{{ZRm
z0PSE8(9X^d@@sN-MhFrQ))_<tNNEiqA_g&z8lyY8Ffj#cZ3FBx@mMDY5Clr(uOuIz
zcP!`T9}GMWY7H0+pzJS?6+a{;3Z2ixKeYe^6X^M^1`*oEDqo(2z||EN297m9kTSC{
zqM4ikx(67#0l+L!i;wOWPqG)63RuYxKEGSjP_O{pY|~%sN70O3laI@fj<6@958nzP
zpslC9g`bL#-Y@0qpBl)>KLZK!KBfLn2aMLg8wR{*eE8+o-q-UB0TTLk4%1w3?`#hw
z*xip{<&V0C3nHJSVjAQrr~$wqevB8&@1-_|?w8MnU=7dg$MDwVjL)ws2n^tTes}w$
zO{3i}E3d|?R{xF1)A);ca-430pQ;!O2Zs-_gnAwKQ9MA4AC>0xYWVBb?usA=A3oO?
zkBVVv@hpawYAbuiiBR8!B`)w`mxYeF;b**pPwt-<6eQ#?1pwd(=Fd%Iz4j}fe|-${
zp)~Ox_ErMUheswx=D#e3h0j-ydUgyxGlqHw2gI+l#qZ1etNg_#c=&Hs6iAZ~;1th-
z5%`jKMrRnmtoLT}L#r>>&lQXQ;Q++`^Y-;Q@fKo`8jIjn_s^}zVd!duLxF?oa?+>u
z)268ScL8~CXmSQx|M=h-z~0gE9^g$6_v?o%mJ{L24d?ex#b2ER2;`UY^*H-SrSWqY
zTmQ{V00ZzBM{4;#qyryd$S>S>cwoxl{$b?(SNfGt=jT`bM=bf5YT>tyP=n3ulkXYE
z5A)0Ki66YaXLT2iZrUZN*E%5baEg}yXH^;gY4xJgpL)O+?zc+CA4soN0Lbur&|Fm(
zmlZCz??_)wqn>PB5eKHF{ymDtZ^Gqgjm?W5r1<6x>gO=j<Njdp4R3oYQDd!Vi?Eh%
z=}QUJbG_hqmI}DRzWK{&z1{sCfFB(_AAMu0S`UG)KkU(jibf#UFA=kU7R({Iw;e#&
z^9fj;qci`TL7i6@plcYfkS_rM-CyT%S3DlCAMOht37|gf7aS63jpirDUC$XU_JvO7
zOX@+4?ke@yKO4Yxo^MZzu*&bB8nNq{4<Fut`vmW<MD*_8l=0KAKTQ(*2Uw5Q{~OPw
z`|6*F<KI}f?B7_J_Sc^-Li-o+9pGyI-}9mUC%8Ao(6`*1-oICOa`5QL`Ps@&v-pPo
z^*{~e&&7vswu6pE8zg9TA-HB^K{Cdz=1S7$t^=DRq?3PYH4)!(V+kzY*~xW67p9SL
zp8JmO-0tT&qV%zCT_iiIXL`TMLL(7=t0}-)nDmYsd8Miy-!7<X#9EarsihTSvJEd`
z*>{LKsUHh@qb5R(dOV-?KIz@sT%}Q2O<^4yx6AZxFzA;N6(c}~hOjs44{;VZc2$;G
zk({1&p`7o?jgb41&5z&ilfl9`Josj4*PaD}-jOEaVs}3-c24lX&+J^C600<RL8X`K
z+olro#+yQLUci0G9oTZwmWozomooUg%=lV&Z4NATiTauc`{IY{UJ|9AnE<O4jxBr7
z!Xq7&*7;kaN7zSVf$rh-*h_I+QyxEroFF1{t0$O}^Mk55mKs!aRHe<uh+|iHotey%
zr8>-*8n9Yi>vGdH&S4Y4iH3TG1Z<jcmA?ix4-+~OE842l%%%gK8MtzR()wyJQM9OJ
zB$B(Mg!>ol94+zlK?Wyg3Nr8!LUHtVeRH?I4eoHX32$%-Hv#5ZW9OKY);<^h<uXPj
zV>0BGF8^87com3YE5#z)|4!3wqPm1+_<f~I#=v*Jsa3`SFL71EL=V=Ku4$SOWj@eH
z?Lo((bU?K!u14#~$Y6Ai;Ms0}Fro*~(k~#7De<~V_DM09PyTEvR%=A0Q0-0Tm_sZ}
zz1|z)H~R=#mv40S((g-$T2Y~@s<yjt=R1+M;Ri@tPRLEO>;;jAFNad>HA^&mjbM5M
z7Ycn^W5mq1*Rf4-?Qeqw6W<mm+izf}YdT(XiWcZZV44n>PfIg0C1J_9s`W{`S<?`z
zRxzMW-4VGNLni!`uT9@vR*^y>CH|03?-Yd`FaYY`XywZc&R1DxM>SujfkWumsrz_B
zgTuo_dkn^TnVY%Gt|Z2DALkfeWij^;unNJJ1;4+Dq%?+D0E+jQ@H2OV?{7p^#U8hl
z@P%#`c7`N68)#$^ph(ZVO4g-B8Tm6*o64%FyHxy;-}Myyi{n~vbzE*5#7kMW^~`i~
zz7?K5pde6{*0w&|+ewXsu}gQw4ep-|2Jc;cl`<y8JYx;(j_J<FvtUl@(T@w~j37en
zvENUUeGF~PN}wmuFri@uCa~$B?P_e4*JQ9vIKa2urF2?_C(jDe>xo-kP(X7PB#x*8
ztE)0XU&FIc<kEyuGU!i`aUAO8JNKZGTa8FhVFwMa9Sls$Sf@;>R{{2@qw6cD-?u^S
zqqU)tyMMOD=KbXSrOz2a4j(%y5Pbc3nrt=l{WZ-?)E41t=w&-tM6bB_P6|7NnfNy8
zrbL%Uf~~Sw9^jR`sH-f!TV6RAt{iqvg?3eB1516Qe9@_F?FmCnH%`j0ubqsdY5DkU
zQ($duk!UpjG`=h;8{?t?3ur*4{^hi~i7GuIa{GzQiww!rxYcmf-aq_g?r5|ma?P>`
zkGc;u>%ph7MoS-Gp}V;R*tVH<<@=~AsHK`}tn17gRgp0P1uH2elP1AC^dM#08?~Me
zuAX47UW9fF7?)p;IWiE)RNWv{w<uNWEO>a4-on$>74`5}6ktgg#I(kv%Uq*|g^YuK
zSv)tir=^$@oJ@NHN+;#z)h)nasNuIp*Q`B}!dQbZXJ?o`9qr=+7u|;B3tRE|@@-$*
zeJrLjj4lY0Al~ES?dZXbfmi3~+J`I>fH~SmEoCRWvP5mw*-(V>HSE=}beS%U-Jqc}
zc#1S*@`ws!^of7uHZ!cTtfO-FL?Ddo^&FEA_Y-5Wks3qu!U`j65o9LhbTT?`j9Ija
zKi!_nVJDEW6cie<?^C@&)gx8a?QuNS1Vp}|#1Vw4IVd<H5mP1X>&Wo3ZzZ3kTcDA&
z;eFD=yHL}^RC0eTrZ8&yFoF2VP3)#YKoh)nR^9`*z5Fo0rT#6Y*JVbEy}UtU>VPh>
z)ey9q<Ru8M0+QDe&$15-zORk3rrvJJnq<HOMm?G8VSc*u#cQt-Mr6l~Cp>zE?GlRD
zInHWWzGWr;wtG=E1Fd#zOzM^L=LH7n1UbcYC?C~FQibJOO#<ML(&zIjtGV*uCN^17
zR6_zj#<2$}lV9lS72!=dOww9m70|y{t2sd(i@O3d9k;8-^tczBdJT!T479FyghA3d
z;w(?n>;VXDd8GAWtw+=Fg6$Wzx_zj;jU`s9a6Z@{1v-1rb7FSOGNxUk`y=~o{pZ6V
zm6WqP#-srfCH0}RTkYc2ms0NIulU50`<ukiH1-+!M%_XAf$z2R%};=s(725_#d6VM
zASNNp>Fth73xG@TL@hj$B;ZO@_XAWRqaY~*J{tRlJXrh9(sQ=7j0*AxvPP`SA!ys!
zGbd^kzvxJOF{UiTL92*x7w}6N4k3_1pT}v%18;EAK_Z%={%m$r^nydf;#cUvAYU64
z`NaNIQK8vVF&>K^@|&qvD%Nxuw%oD3bo|0uG$U!z0Hw&Y<sgejg~yG?htIJ_(ZVS{
zqKs`JVj!24f@M(3M7q!bYl?jgXYmBF>$b<##|))<a*OT>*~GRAd*Fo@PvYtTRN0t7
z)e%&htOimVi94%wjfp=m8qaWMFAsKO6O~f+;2&(9E=8VN(2iBE1^F&RQ>^VaXOq&6
z6_Uv?DH+>12z0caK*KRo*d|^07MQ`j$979KKRoT|Cfe<{M>Ql^3?seXJa+pEYLA+P
z=JESlCL>M35%x_>-QP0xq%sB*l=f%R>r+T!v8S6ipC8I^^C_Ys=eAaLYzg}f5Ud|6
z{4z!$tst>Qb_|RU1D)Q+1B>5GRm#leY0cndh>l6i7(^Ma0$EX7<~`nMh~$Dj(jdGm
za#AVN7~ZL@l|xE(+}8@gB+k2os_XzMJ%nw+9l3so*^UR-*M3;vF#f=p`2reH3>GEN
zu|RI={@Cp6lkp!n7rNBC9y&N#Y*7s!uaOzc&busTFj|+xw(_j_%k_;8EM~7F--@u3
ze%OM*;+eP%J8um$ouF=B1nRrNz}C@XDWnR1_E$zkC1jVaDT;KFk@q7Bwr}kBZV7}+
zI+K8#l)}99avH$8czwL=%=C`E(QmfcvQBMLj1bfit;Mn-Hk6J(@TT3->+E(4t@=Cu
z4}87*Yuh0Vlsx?^=l)O$ex7#Q-#+&Ca;fVCXZ<7zUIF#B(U5ph%W8y9i@|E8lOo#v
zyfA;LX#T`!9|mj-gk!3?_0L|kMF6bZ@wxO=F{5MKX!NNpQ#(Og2o;>l6K=EP8g5#~
zy_?X^*X87q9wSc_%I>{rA>ah$g4H<D2O+x^`kh11hDgLG!o?0ox>;Gww%Jr|&Ty{k
z2&UJvnOHRH!*{G|7oCU@|FwJOGtlu($?Luebj!<v<rG3+mfMHqAtJ>}_v(=VW^uh;
z+ULb`n6<i&0bRGj7|l|0+y={T<{aM?wg2GYYgI|FbVB^71qAg)jd=@;i`iVRu+zO~
z-$Bd5y$Ln=CHy5IYzz`Yi1Ex-J<4T3M|Z`I@zG^?@G%kG6AgRSsXC`V0rZ?>KKucN
zkQg>_ezav4KYMQoaiaaR*^POV;@q%Dl(3s#t%30+s75l@GGhD4O04I^(yp~nxm7U$
zT}{GzGjj<eS-#rn%<BcF<4=^QXJJfn@i1bIRvN)6i07{7l#`2lg51i6bs@9B<5FP`
zQ6bk7=Z1yjBIk*s*V2&J6}8zKF3oF~PDvIKhNhF|^;9w2j34qgQLA|YUDP}pBZ})G
z4ExQUTl@>8Own>S1<P(c$4AJ=!d3<&Z%8^mzUQc0SKm0e01*i}aKj)ZoG%b`wNGV4
z!`Ubn+It_qBO>;0Jy;x;mIqNyMKcK#XK&5f6Sq~|FD*IT$ag?!VC@b&*hK_ks%!aX
zzisiY9FG|L^M>s>FQH?$efLi=p^}&G)FY+^;>@5#v1|W>>*@3U$Kelc+A$5yG|?e^
zkTTls(k9?-d7aKe_&8rw)j3B+5|lxxW0vKG(6f2=Rw*t(1ROfQ4EpTfTP<36coz2q
zMFW^KQjM9qe3`7dOj7KT0tIAA`7NWocUo$zi4U*L_gj+HvA?QpOIW)i-bDvf%xDXH
zZNa#*$QYgSyCN^|X_NcHU7boBV8t<{YbxbMT1j>dc?hdf_%!-CdLx;CF8k$ASf7bK
z@Z?GK&GDM%&r@Zf57uO{YcPE6y5F9nW$v;4$3BZ5y__JKjeVtuJi0Gl+nO;sxS}Si
zW{C0zsg-w;X6V}N<0k9Z&b)+!M&E7}kyyQ)gVbTVJ#+&Lfx?i0fMUVbvyIq7(pip&
z5D`5zi!6sQkZueO6(}M)b~jJ<TQv`zueC+4wr5t$p!D}aM7=LVKchLN&wXS~B`-zv
z`d&!Y_({jRs|S|47O&?!fiJ~{@h;Km>jtJr7h$D7M~s^FCUtnPOag?flYJV%0H^yf
z*{~am8l{b=Ycr>^Ue!>y4jtMiV&CF`YwVLZE;DpCABuaNI<)1$5v1}m;oQ@`UVu5d
zh+Kn(N$>$>-8QbEcQth{`NpPWP->2A%*X1(t-$>dUds9XI%%_rCO9f7UU6;nXx8zw
zIq$$`^osiH)<?9$-Qjbzf!gejXHI6$!V~M<KOAoA=SvG&?T`B=GK?Gh0t(M~E_r0*
zc&}tT6CN2e;QNV?p?S-HFaqLi-Feim+qR^$MuHn7Tl@XcDI2jyZ@gB?Rf^|QFxlBk
z#nxo52@)QnrfuDiVp=D)9BR(<<IgJLxLg3K5+hX=8X|ihC*cqMacnSZ`AJ?zXSQie
zXp7VecPR?b6;FC&glTENYgJYheMUB^s2XQ67{q0|$N``qa5OT-)0=8#1Q}IoH0S-T
z2D-FS31_HgC<Uga)fxUKxSvG|G<#FoN-}TMtGWcXR$viUCwB2pT*CSUDmk#r+JeCI
zx{!y`(JueN^Yq8@eECQolYFRUrHNF@EOWXRK0HRH1iT}uJt|#pDSZV8Bcs0xd8>LL
zdwNhJS4D&z1uSjHV8&xLKzBFF05$2I-E*{fC5mf<`AxQDk5I7kLD%GqQ)BUZys!ov
z{ZJ*ox{i1g<w;|l%a=g+KJ|tKnI+cL2hRHxdX*5lh^sni)1Ao;OXY&!m@)8x$&IU}
z1yI>c^_iMU&tkJe6OZaOcvSybkGi%%2FGv79mzkEMPyj7fxU<(@nxPVBg8=djp-sg
zDthsX4-IAf-DlWoYh{w~Uxbp*y<a7)Zhs4z#d`16dj&*#`s~wm&&Ttiw)Y%<G6`h0
z+QRWGd0uClIgy1E#k1tR5s`=55>?|P*AKGm_~V%-*SG4E9<%qD20ChWt9VKz@x)FQ
zi?2*)*Ti2tVYmVP;G2~Ed1DLzgWtY%sf52YmV2D{_x`rLoB3K`iQAXS+7+yg@^M|p
zmtOBj-NSzJ0n-69e;e@@;=<|6(fPy?_iiNGV|QV`Aq@jkbT)1?tJcnvgSL`YNA%NH
zXZbUOea6^O9cBT4D^u2a85EOC{NPUXA*fB2iTX{S<v3{7guXELPo;rhZMJ$U@Yj>s
zaY51P_J|U(mrK~iE4z&N7}c@t0Rmc`zpi60=pf`O(wag6pxkowD0ShtK8X)L`ZdlU
zNtkY|rJ#ay1IYMMJXU|T)p{1)=C(IrrDhv@4wTza5my|?8xw01yAN~1>d14FI^?+V
zUQwwbagJXY8v#yJDlBN~%hKFQ054&8Q?f+)HxO)ncL|+p1M!ScQJ-t#TH!HUTPft)
zZOMbNrb`KN>aAH%RnDaY?o07)RS+mv&$@G$F0^P8Sq;fm{KB)T-F?$P8nwnFo33E=
zj$XBYg>ZM*fb}^cfs&UbZz^$^?_*X_+;jRtEPuKS^=d|7Ro&Z?(k05gK=J&VsaeVF
zqnVe8)*!=;c!ibY^u60F4F;TLQ!&nE)I*YZqs_NZ6;i0(gg7pD9s&)0o>^T#wm7vD
z#g$N!rb$=0aQSq2#(FLLK4yLYW#MUgDQtsFf5~{@CH{e5Z<k)-_xS)#Ky_gO4c%Nj
zmO5eea5M6h%OZE9Vk$@nxhle2E6BM`(eo87r7XoiQiym%)q0%XdDs~#=VU9wxK_3R
z>vfwK+hTzZTVIsfI#z+5QX0&@OXI3h7Os;V08EHowyFbI#a!!#x){3fVJ8E*dNt1B
z$wqwV`{vr{kwzgG)r}7-0je*3Exrb-_|<sQfw}UR8VT+&xGY@a<*{wxly<t-ErWc2
zX0fEH>dJG_&~?2id{@NviEmZILQVq<ysG$?Y#&9TRAL&z_NgFEPY{=#cnUy{aQ-@%
z%e!rn`Sv>$=p?e>9+3@aJkWzObOX(ZCf>I147a-YWo$hjR+o3E%jXQ9y0^e{$6{Qf
z^DUuB$^A2UUF5kI=_sC<mh2M+3x<J^Uu)+5OO%GU{M+QI-!MnQx+<V*-o6T5keIw6
zqH^hVHDhHKA;qqgTfjoiy>m@LX~Hb-ps1;<7sq>Rh+j4<<5Du8Vo2j&4n|1owPDh0
zb5|_FjH*#%0);cqOr#V|`F@Bt9urYNgBjQ97u*8$8%$_J9Zu<qdwmn>jS?JV3kD+0
zlv1=ka}yv!RZ_tRVE!TBI+a{3x)V`ClC2P-%>q;IK?-?|wrMZxB^i&y9CQz<Wh8LO
zU?tP`>0w4W53~5`9{H|h%FD4jR%)jrDuUEKryN9mtEBeep-f8RchWyc>Zcdsj^|cq
z5&og5HHn+d472Qv9n0-8<JUvZeXptuOz{Yp%bg((mDY8SXRy2Df{+TW^Jg$=QKp4f
z=sM!AzJY*EvXoEQ*M6KAk90A7=1kHES{st2c2rI9G%rT!R2J8IS?4Hv=#GA3biKWp
zW~fMAA&w@ZP@driYS|*k(a;M1-uxc%$-lgN>ObaZQ(00$ZWffTY}ehEOfCO+6$s;!
z0{h05ArR?#&Q;y)F-HRR?hckHok4caruDH)vk2A)?irWzgnP&_$5^<U<o37*dzF8X
z(_tM5*lpH^Yxl_vKz~+^rg;b0D`z3#tBpawY|B}iH%cS<`AI2ZevX-N>@^$02aSU*
z#W7x%z|7(()#fuxcIhJSKALUVE|#72a;{fP;vr|v_|IL8<4+Vx!RLj)X|d2(O(}!#
z(%1_CUb^8Xlg_&iWg$se3mukK$vTW0zb7TF%&6QzAmtk0k?Qn!E_bSDW0D2cmT23x
z2;VR)v-d{OuC9u414?pY25H9ohIm%oy^-=2pNS3anZ?T&Uk(p1!DTz8%QjIrcj{sN
z<tI~W?PukDkvn5v0)TFzxhMp(VsQ+va=E+;F9xKw5+lv@gfE*s7ZJ>cC`hj3+1J$y
ziC`;AmwV#KFw?Jo5Szj9iNVThsg=+lM;*G|b51`lKIV(SixTJ$wS+yfsvkY^I?E$#
z9mM-U?ez_9Dw-ZiO|au}4Hf@1i_HUg^5wr8Q>jFtvis)qe^eoXDj+14w$O5L`hqd_
zwk)pPll+v~YXXf<<1L$mH;~kTMHxP*Dw~Fbi5^hn#Y^*q@`B($c(VFaQ92-be(P}5
zC*(EkepD{Iqy4Ue9ei8Xvxa>Eo-k?5CJ(2F2*=cg)S}MER*xp6^NV!*f@Mxj@g0+$
zD0}qJ9_cm9K$_s-nJjt250_e~LmqZ7fex}Ou$k_MB|t1E_*IaLYI|xgc`sW9N$~i5
zjM_YEMZvM(*q<O@xD+GS2Mgh_5SIpbT1W-z%#ZG*o^19_QMnX>;ra<dBZ$h8-#ga2
zDDAErWIJuSnEm8%Yow;ZGC={)sAwY+kiQ~ntHH3ihjNyYL2gB91?)_5!OhXN4~5y(
zQ#>yns;E$)mzSpD9F-0l0o6h1)RR7%Sd2ejCv5Ic@R|NRUdVsdv;`hhBB7Xy9;g$$
zZ(@gSNwIqMnglX5JMu_%FMS`RNs`7khyZP5<GtSpt~yU~N2w}UgS$VFzXwtQQ-Fr3
zzo<Mkv9A274HIk`tebV_m<1kAl!&0He$E8Lz)1zjh^!Yr687h;oz3pk)wdVjM@PhA
z3TFenR8Iys*AUvDHy<SOM7R(|I8_P=GT!@B!?E_;Qs}`ZMzGJ(a`ft3)pPL0OF2W4
z+#)d&ayqzG4AOx<u$MuZ=4o`}k_pqu*XfG7cZpv(w){Jc>`vGgo5r`5+;4@RXNXm#
zXvzM1QD6i$Wb>Y<I=(aSVm@E_qs~$+@t_%g(Cj>=d*RYbEvU0S%9rwG3flLfDQl&B
zrL4?%>`PhHWopt3Cj_YjJ!KKu06OzRB_WlQLr5ckA|<A7@1a;~niWctXj%kBD2VuZ
zN+?Q2`A2jil=~*|a63?0;t|6rstX6)&=Bv<3#z6(H+6{If9T{hvSH=0<#6mHG)Dd^
zz_G{(apXOTI!%?+8MLa^Y}I?VFKS_xER5hi5DMV@lf4>{fe8(MFw*L9b%oTZ`}i+)
zCr*UF(8+(s&X;5gNw%FwRt#Sl)}i<Zko{Hjfb0T#z<rCwbA|zDPe-SjYx0sF`&Ya&
z(v>m>_rce!L_N;$IWyZ@2h)04wNq>DUR(Qcat7(CN*C7iVJN%g#lJL9*~tHywd#*-
zma54?5)2L6_e)#jtn#<I4~dJr=^fbM&s^Mne+2L{b#WXzLUX_ivNYI%SQZPMr+&v`
zJw77wn3(yNW68yrgCKc*7oo4Gz8T(am}cSR1T94hLV-r>9GXd22M2}IYi~cQB+E-`
zKbB46x~S=D*(hz_KwVmaBoQr0&@x`t3%n4c+nU@ejF2=DL_*WC*q_l!JRjR@eY$25
zs=sg6%RCG<+7qS4!^<NXtCx?~hjl=n`aBEdsiX=UOn50KHb=RYtd*QzddEvuwRK3&
zk_HJSt=F!a9?rIn-o`OP9%YexSO|KspuJ>zuJmMQ#)w7dt+bki?Nr{0o1rEeOBCYU
z7apdxkLe?2%(RWUGdTWQV}CWy+(Qauj}CK7h3KO0>96)l+i)o~A5AD}9DFO;y)Upv
z8R56ZQH^Zu*TU?<s<C=5)=8%qST~?vf<m(A>|Wvzc7QylF}~Vr7X&Z4A(}rCuiJ==
zyLSz-K)w?>2VLPDN|zf%49AK-wsR`vepR913L{Yk^S-mthm3kw(^}-udb-{ZErNw`
z1}{i>zv4A37|&3?Oq!lDOyCfK$7r$Lzif0ZI5${VKA9`xnElW53(2Z!_!$lx-Zc=F
zS8i?u_wGJF3Dw(Mi&(9dbj>yw>5+-ayCa}+LwPsqx=2KPk2uVetwZY=H6q*CXRW`R
zA3ZnTB~^h<itH12-=aNZGkzManZFJ>V;pI0gQJI*V0jMbi2;FH%*AFOVsEwOdl|_B
zr!{xr6*^v;5VgE3rFwm~dS7u^vmMWzAu{h6dG(n2T2d=Y1^-0ihMg;-D<(h#MpB1a
z@l2SrIk$(YDBZm(QM)b@iL50}Y(*U+Np@zMt*5==d520P&jjc2vGS~vi+SY}3fBw1
ziEk%)pT}0@E~0hpFSpXj%R<S#YFvgjoM_bg4E~MhK3AgCrotKCw5>Gk4h?W}**!LZ
zm)3*LMG=$E@@MR<$IwVbvT}`N&1}=hFseD4B9PX_xm9kDbHr$+(!6)-<nF6~IoW^O
zk1tdt#^I@a{+sf^(vNL`2{q%2^=U#+FZH?xZLcGtI91-D(gvN=z}m1`hHYlfn>f6|
z{1wS_APey;U$<52m$i((k;u?hlzfSTxjTbBuvw20&s;`nu8B0y?cya;IBT)?OfhR@
zmH*yMw{(E+11g&6*RMKriYMw>=B{vhto!oq6;viAqd(4(A(i_kQY#4fyDgB8P&zV@
zV7z`C+jdn`Qk6&B@?{>af%TEx>>EzqfX!={7KcB9dB>g*3`<c6a4HB?k7U$~S2y3f
zJEOxi37d?T=>x+dhShHNb$mVEY2Io?E{{*5vVT#_Kd_sA?=0;)wTVgCpurHbaQ-rT
z)}7Bdlx*zHuTI9Y;qt?lRk$r4^G7xCgzYqkZqdxO)wyM6^yZkS8d!+Qm;Vs_cI%Lu
zEGJ;+ugt61S8ecY$yhb@48`Pdeo*CZnTHIE0SHQ8Pf*68`lfCdut@A55%PuZqWB$>
zNv83OdRe*(nU2UA7S}s9V5;%6O+USe>o?3a3Uz3a9zIAw?^+q_MK{*0a5l}jRjgyJ
zex@1B`i=m?IX{IyOq$ESp5RQmAq=hF+8$C2ymC8toZ+%fCqj4Wrz6-g4f802rhK=Z
zS6?JgNR{cK2cQTr#caIqVnj0jEV2o6DOM&L+S!;+K5nHe>~r%!(FJt4_!R7o2Y9v|
zknWj6L1|0v^>ptT`+$o%9jf298ucb>4^6zE?3}6MEE6AsnN?LsXJdufBP2BEk8Ix=
zs!z)e@O?+5tc*4U$rsJ$``BUWx=#*?yV{(We}_FSF`i6|)X)S&LlHBRmv#BnDxUdD
z>@w)Z+x$zhQ}44YO^p%ww5S{_xRLvP$x|8AJG}jBx&Jo0uVL)3TI+QfUN7V6lrL7K
zriJov0cG?p#9__RP}eEphhn~foL9nD#1-O#UmDQ*9eS@`0y-T6>^DPhCg5zH(Ef?%
zaKbhpP2bHGkkqxIE2$5j{KWFTL&F|RBJxWc)I>EA;g%kKCCGCs5RN%IaSAyTF<Qz}
zQUU7Tjy0DsvV7L-HsxG2Fb-G{ndt*j-5XAAsuSO+JwpwB1IPT1Y1n&ToTp8*+h^Av
z-`&jbmrN$N1ufry!A3WI7d`lexnz=oZ@U;MeDYh=Zc@6H!zoHC<E=QFC|eswxfIl)
z2F*_YTN(UVnkCFFuj*~G%tUTJ%iwonuvsy;JCyVM_(grbimaAy-i@D>OP?vIN4?&2
zqL_;lfbASnYW4H5(@bGZIHW5)MjXFEztzixIs?{qiNVkI?flf)pxKIgV+I+R%C75<
z&=P@>!<^cuvO#)?V__lu-F_kP_Lj9a*_|VMbl}|Y9X#(st1EL;$((&L$gj<%v*y<J
z67;BS){d-8?EI6w2AnVUB069JWKG8Rv5he4mYl`%cd;x*T~nZWpC%9=+~vdKN)Lsw
zksD=E@=&sbB#$qk1@<oTd@&KxS*ym8o$@lB3xI=`{aU;sYmyN^<A8Sm%_t|4yt`+P
zs$uvqA0!lS{n$_=<-U1RrS%Q#x9cXErl;xDf^6yR$zZn2yLoSyp3PhJm>y$Q24;0I
z{Z^diX#^?ifj`;A-jYOXSj}&2L5rXL5Lm6dHuR@jZ?bo$FQ*e@q^K8I65>f)`O9c6
zgS+8Z{7v1o%a^o}?SbH{=O^u8G)CX5yw1wQgkoTbpT!+l@s5o#@~V#0$gXS9fIS9t
z%@rwQAB7XSX<_F&^!j%@Q4eI9vdL_*wBJ=C8OjN-pIq{NYKC@y_JkK|Fgi#Hr@V}p
zOOKD54{LzSz-^5tp|iVm(ydSH>~kxLC4P$*%RzSeQ})#U9nueOf=yRC4P$8b!pc}8
z5!<<%`}#l%xua)~$#l=g-{>`<qVcth<CmVI{6MkKm_jRD9)Z%K%oP3guu(-0707~O
zn;fCJl&yv&!nwUQ8~rn<M32~(XrCT3%EWlqu^cE8saZCg1ijg1(67me6lRm%?uU`&
z9^(Tyq>GGdz9?CE+gr@vLe-kW!E}YK3_F<UE|%hs{)k2-DrpN)u>)vRnPVYy3iNmF
z9C+DHt^yAQRGY`iao0|8z+Ip#KC!==h#r5uMKqPPS9+ucjQt;Fh;{G_OXWh!gviHk
z85np}X-d21unGbI6|DRmW01}iYbHXdVA?Ybe2sbemg0!r|F(DkfbboiCf)2G8uN#*
zF3lx^HC@BxZ)jg9)Q46i+=@0Uc%Wt`0<6Nt>ut;-GFJcP1Rrsx-TZJaVwSi+Na^dw
zPVw5P&{$)zee`v<Xx4$yRV$!I1!cwbnMaVkijF7NB>Tu<-dJ5m&e|VBinuOz*N-lt
zbC!(|uRO>E*2Fo?CTsgj3>_<+WXo+qsMeevA~hevMyc92qIyn>ymT?`maGbkxqK{8
znbPI+v1pYo&#UaB?#52SyCPevEM{0jPJfH*QiB`QjZ!&<UpAvtgMM^P8bDrCv{zo>
zb(F-_VnEi|$z%388di`bF5N>wPM=FAU=ml97N(#Xbk@p@$^JPDl+c`4DB@XGH7nIu
znR6DBre2BKn?9so!%;xc?i8z6u7h(rQd%>&2fRJi9#uPCQ*_yrG9ccHEya4xCi|gh
z&u1i9y+-F|+D8dKJ>BR(matWNRt6CYtgA%K{NDEV`+6FCWFjny?bR$jqCZdp=<*M6
zC=#Y<_03b<op~vkJ6(#Sq|9meqR1_8_Ac*KUKiNehBo;cnOvxfIBmStP>O+HV^Rq7
zw=h}Zc+DU{_Fq~7kuT~mm{C77a1JS*XFr<u=SrW|W<(v}?6Gvmj2<H3dn*A0oMcJY
zq}&uALdQt9*>Dvj-w5c}t3C$Vp=<lvIX?P(5Q{W=3l3_?ZM6>N9?JIRJ#WAksbJ1h
zqzfGbhi;z!S{tHu5Gae2kIj&5A(w2`Vq$FOXF@iv5E$h2wKa5-{Iz|V0nJ-y6GJ70
zDUmy*X8aX4?Od(u#AY5dgIuBqXa;Xm?3MvYLf|k4gGJdpIkW3d&Qljq%&%-D{ha#9
zIPesM$+|-H*R>Jq{&`W6X_bp79YG)2Ctt4D{==?P0~XCa3*#3!`sh}tmG-6Ztg5LJ
z7;?BHkkRqw=sn;n8m`;{yGQFn4YLSW^K3tNkby$RV;1~80hcy5E&Cje%u=*{DFIrs
zdvL2E&F%J{Q4BnD*)cQhf<84W<v~#;>25m34zILm2jkCZ4UH`$7CMGP1l6Egh!=mR
zkxYLvpNQ(avB)xyoC!IeA9@uVI*Wn#*vQmxd$!I)t=Ty8r_J&{aPN-dWnG<@A$i}u
z+J#k|6nKD_4i|5S)P-K~?x@A8?F39o!_i59Ve1Ws<iS4vB1d75B$giF?1g#(!Fq{A
zpKc)t7T_kIq~iVwrwOl+Lj{?%ZB63AQ{g~Ro)`x3MlCn=v~Ng52R6V#D@!?o+=dsq
zysBRyKtPrZ$pxHfy&yu;sm8ybQe`b~INYVe7D+QGY`lSv4ncM>zZ0@+NoTTb#%TA=
zQ5S+WwZlv|^^$F(QLd#?tgls=x)FNGfG1LKX(!U#A*x{snFms$y~aI4Vrqdy^V!^?
z5cNm<yv@7DrvsiDR+K~c9ljs(xpHkAK0D{*9XOyCn{uBw!RtmNRmaX|B)c!07xGY^
zeB)=$fNaXiQ=cWXzBNFd4XnnqhUq--K3?3l#n}yfGRB-Hs^~geb|af)!M)QzO)i*q
zoCV|I;ZdhtcZ3*QW%#5{J7=;rdXyYUufE5iO+RI1=03d)L9XjN<0z&+8kTN`oVt<S
z=gkL{h=HnPI%d0o9b!tB6Y1_l(QCWXy;)l>kl-HN?Cd*d{)hU>V7|$dnl=HJLfvH@
z%}x%GHY;aFmSAjR3~!dOmDyO|PEalwSHMM<N#~iW9_bsUf@OmG3#?<a3aZ+z@0^}l
zC;}1$KpYL*qUWM0b*+;=M060FR}c$FMEBwiQ5@_mYw$ByPG6!@PVT}c6XD8-0wxnj
zvU8ZD5LAk=pkk8^sIc05bcQ-=y-(no6I-FvG6m;k`co8L!h<JT@p=i~zR>|>WuG4J
zkW%HmDRVf_S}kW+HG(rc!UA`bU->94xDKzkr)m}5)tuVOY^W+Ox~;GW;!#*64r`mW
z&@gzfVP3mSVW!XtWH)*{Y~cZbKtO@u2x7m!ZMxeQ7Klsu<!_COyYaJjf&l;qAqBEL
zgwok_vC9=D6oi3*FSn7dh$o#WywA|2O~1JrLB8>3)Yki_>~wl6o9QhlG&iLSK`EHW
zY^2NSy==r9DVY55`xUnr(P;da%DPlCXQ->cA#=qV6O0A9k}js6_t#fv1qrm*LAe7V
zhR4CB+DB&j+71-6?i9u>CMqVyo$WXh09Ue?v8nUi&dH}X>L$eZHZ-hL4f_aM{IrvQ
zg;3r2yx0?5fu+dfsrrb3L}phmV28%9up(gV5@9=ED?+!TDM2M57*OT^c;pw8)fJpO
zGmo9R2&(h#id<4YBM_9(rvODsW#Hm<t(n=4HWh6yXS?`})CXpateopcn8|fP0kf$U
z_HeD|#S6-IWhX^c@g|Sj3R7cvLm!EGnBr9hx?ycVDJL9)sHaeIDY@?gFNAX%i53_n
zi(2EBw~n~ntCXR+!IHijX!A3D6yqNp8MFMzHSdypwjbbG*i2j_Yo006!U^xwott$k
zsp^o&z6T4S){|+<GpSBSbW}k5>I<l#hi$G<S?Bd;0G3Q*yNzlHQTsIF2@F*>+o(Ef
z6+z#*R)Bc-aI999pxQWtPy$XK=%{4A1;sqK(%QQEQ!&a^WejPb)TAis>}H6pKgl0f
zQ2-_V;Qb@t71Y6a=V*E(VN>%L<RXW}8-df$q<{*>P#NFn^4>mMq#uGvK_6wr6fvn2
zrQJen@E<*she1`b5A_Zun+Q(~%jV8nvZ?X2b0faN!G<5gczI8CqUe4rOYeMHOeYt)
zjc`Yb+Le2qFdBzR^NPLzEb*T@2Xi5=xfYMybOd^2dC(NpDCF&$-#(JLPpU^}0y7(z
ziE<BqMT3>!J8ae}9^Vdmq#F}GhRC!k6_U3&5V1z0>V~d6bdVLjDffix!i#G0c{kt6
zJ6}&GgM_#e&5x&p-neJ`;WYvl<8H@d{D{4$b#9^@lu<9$kE4hu4tmEcV#QQ3v@Gm~
zRkrWQ6p#h(jQcjHG?yq6xs-(;?0eao#;5co?Bk=5w;KM$nqV{xoUlC~7|9DuvDX`n
z=shc{2=wNu?7@jTN|q8F0tp&hWykHs9hjzjh6<RF8rO5UCDT~_f?G>|qW%}Cfc3vY
z1?<fKu}uFzsDOpxKMLyqC7otuW&giOr*$@wXd=71njGBRplb)V+2F9;0;TNT{+-u7
zBnUJJ*?NBa2X@D~iJo7z9<?sZYnD#2*Q;Eor)m+A(!x<<Q#eLY$pCEajJ0%)cR-}b
ziwo;&0992uQ&m-05K2lHD>be?zbgpkOnx(Tt9amFI~Yi_{D{k}>zs&7ECs|PfOw}S
z;Ccsuwf6UQ_csj<z^m$N?_Ywz?03Lh>8+X>z{qI;j(FgC&;UuGqqAdc8;j$Q)>%JY
zz-Cit09IaJ+)=(EK*JY)Gb<)!aR0)HD%ANO8xbaCF8@E{(|^t`p7kiqL2I;iaNaf4
zxw*O1Wv+D61!hwRoudKZt<<ReDd$1YuHcx#zZMwzCx&s~+^nV{lmT3*tkU|hE%Bk%
z;E~Pn_h$6XY`~oDJ)j+&=)pOGcT~a4C;mC7aRT7{5>S5#>4AQBumP}`Hu=tfVt<Gd
zT88olNKH-gy~L2g>8!w|{6kuB5b~)@`mZj|Cn4w^=zoLE4NrkQqu3nS8d{kce2Bg@
zIwAQbuXy^8YKHngofw>2U7cMFTpL<Hi^Nj-{&w3m6$f>IjPKx{?Og=kiTT`C=LDGA
zecp^byzXys`g3D@{{&H2<4n{1m=A5uB!~<RY)rtCf8N;5W<l=jWs%II_K!?XPEHNL
z0dNBP=bEZg`%&lL97B99PP~M@*Zczu#Nvti4{BiZ^IAafuHgs9Muu@9>|I=eKi<D?
z-t2<=N5SaZSe-!AfoN)Q5PoKUOu;n2LUw0&*Ef*!$395;{%Mc#`uuiac2G>=9RG*C
zcMg*6>((`Q*{<4U8@p`Vwr$(CZJWDn+qP}n>iQkrI1%UTINfpkua28BBNA)P%(*hx
zv&I}Va=dTN{aeb{F+#m5*%(E{DDB7Q9gnn~T`Xx&NElMjz*H~5&fX4y?Y$k)PhCMo
zc-Z5%(#LP|b6o(yn@^>Sb?VO&-REu;-uGwM8GtX26vPv$X5L?y-So>Qhx$w&9yOml
z5ueks-#k&@afja&_urMGW0O-?GCY?$f!{IP16ylT=Qcwb)|)>iXS@gx%n-2O5{rOe
zOfBKO4i+r$-;ZN$=^c~)sR2csJeX#e1V)z-j4HLxO!aRHm_BJtU#Scn7GSxMBZF@-
z86Z6aLt}3|UCq1n^<M2<np;G#B~UNS9N(S!g#qXzA2Ij_$9tfutQ;Ax_%&VRVObGS
zJN-}0QAfPfJVMaAdd|OEyMlggwcP`$`eq`0vC3Op|B86QE#^Uhqwy6w#r;QSn(h^~
z^HuU&$n)3ldLQ`ZjA>}Y=cNH3DoY!EBY-cU?ZDwX<)EyvPaA0GUlD^gH&Obpm<PZ$
zs-K{(zo?eFdz<U5yaQ~K*1kZu$7<hUx)$Ho+idE4?=<pk=0^bEV7inJU*HZr_u0F&
z;$WS5p_Y9rEqye;<)3+un)9)?8DZ$Z|7>cgNPk=RYbZ!t<EiAfp4vRtcB*Ch1lUxz
zePldTGNE!HrEEX>Us_==Z|`9CUv3AuMSR`Ey3hf!eLMa7CPrgmId1OL`p!IMVfqC7
zb`t{f%jRVWY($Ao;|-NE5PkOQM9Tx4|B9R;SnN_}$4;0|cZgXhgtUaz(sG_@x|gX<
z4C8Bv;u2fan01;%&6$rjUb&eneAbfbnihsAzkk;P&pEagHi?iKOcxH_4NF}Rg7ehL
z^kf3E!sqCDKPbJ++HjRqgrvLX3NGTx5T@vs45_^6<|*Az7V)go)D52vU4o<1$fuy4
zR2w1;u`?nFE*Nfk5Y%e>Yz>WLd5=(}_5<j>rV1_?5OE3NdeU3<s8`S0EW*t})Ip6w
zyZde6p1mgWL8b)jvRKl==&oVPl#&#UZt3A3xZqMAbHUM_?N0?tU6FN<k@LV<q@#i)
zk^2OX==s!@UQ6gzuunclffEoE5|ZecXYX-Zv)k*+`k@ub5YU?Mf%P{&Wx98nsZ=9t
zUgLHCI;!4%E5ZGD`we*e3Z~Uw#<g}|)<+GpUZ^#!>$_KkRUHKxrf0CF@iZ1H7aZrJ
zyKn{3^rkGlZiE88>?~~rgN9ov38FP7E!*Sn`AeH*@6IFG$pgvFauH(}Er%9%hrKsV
z>XOuPlF!}K4W9XJokaGZq(k~aQ^H0%iI=JfEf~LegwfQ21eFeYIr8lu9~pd#=fMtT
z$1aI8=#K>bm)%WYIiubLHufN5f&Kk5+4Z;^GopofYw4CS9}kW6-*Sa>f0PTMQ((v6
zvU9EXO>gDw_+CU2Sz+@IeypC$(9b^5)CTyb3J%+IMrOBl<>hYwVp;uJBS?HOuPd`1
z$RQ=EJ}(3nqEccwpiGD6_6|o?)KG*lzy1!wP|+fA)M%|>kz!12FqW0M#rINovEzNN
zUoJd$)p9g&?N`nH{m9W7IA~BqWgeOQIb{T3&z)Z-i_#6&y%l)bmFJeQj)G}ikdl`A
z@kow7mn;<$fYzVzE*H}hCN$V2<Sz66WRwY%wZ{0@Y_}f9(D>ME;>=Y93U|rnvuh(?
zDa37<4G@%+%BfSitKMPa*{ED!Rs-qrP9pYc)tLu|rL>V5(6)ei*i&>3l1AsEC>Vm7
z=0`#_ef|x6Ifa3Qb+71vXJjuh=_Yiq^gh&zjGMe7SCAfRz<NkzT#{Zj#Ej(t@`Z_H
z>sTLqCGx~{TfC}GDb5+yF3O3`I}A1DlKN8}z6`X-t!m`h&T|{7f7Be5I-#~<!tJ!!
zCHNw5o*^+ktv#oItMZt=nU*fCO&fVL^N+q$0>Y|w`sZVkcNCgG{jXlnh5^=i#9YL1
z<n+fl9{4CuvhQ+#>ZU#wgD?GtJ;pUa)T2Dedo79DbFQ^`w>4e0E?FmK=H(LH%`fP{
z%E4o1P9VjSrTp$WTW7lA+0&ceW5VJEwVtC)0&qs=qrzy+t38gDcr9X+fZuD(P(pFX
zP(Ze;HzDB|MbJt@@@e++_ElgKS+@MTF!iI^`S>TRR9siEtM5>(YU20zYiw_V70!?6
zZXMmJt~nF+2-x#pmIhm+EguMI#HZ+m0`qLzZZ3T&_(n%G2fFj)UF-GG_4>h1$k)BW
z$oHN+UIPfa>7*9$+1PA5i(4bO9G@_&`bD|=`$QCG-v{LnWgC5Wk>%61J7P0$;fiU2
z$wMUs)~$Asg9T?wm%K2kLjCVo%Zm$~yVgkW7n0w8xT9H$Qob+tY^HR@47(h~_=-2Y
zYpvF1IM92iYc%PJFX^<%wnjN_We+g|Bs%pCLqIuKCLk@$^$|)JgULhacT6gzoh+mg
zi1ib;qW!m#Y|x8x@OO$E2&E8b=g*+h<w($1ic0kq#NtG`(C01MFJ#sOT|P$e=tw+8
zoEvBb90*dD2Q&qX`E0s@&|n@YxN%j2eJ1wOnaVWa5^6)UwXnYYFbF0MlYUe@g~Ina
zW${GQ_U&it^Q&%uX}jQsb66Nj04$27%G3(|YNuU^gcD2nlD4%3ixH*-rjs}1<n#|z
zIPby~_hXG!gb)swrq>bl+BBI5W~1{UUhEyuX@dGM43oHly-Ea9T|Ny_4dvCY=sJrP
zD|TPXCR&P*j9C=ossWBN5Rx+w{mZ~stuf{to5yW;3g7tYRVUlMMdx!Ny#J8W1NofK
z0>)Gk?dymPqR7_FGQI~4aVQ7V28f=W+0`k*(&PF$Z>vMidT<kK4{yO7Vj5U}X|6&^
z!o9S%LFAH?+C{Di=b`wQ&*`1BzNkIY=@i&>wPhYkz9Oh&`;Dc(MUIdL{+96$%u(B$
zcuU~a(aR~B07oi*uR6F#EGa=i6&vu@{8B%5Fg&8&m$FWKt-?l)I!!z+MlvX$kTLeP
zm;Xe#9#L^6CJy1))H}5>RV8hfA+j=np$s2|?_>c=mKl~fqKbu|sL8#?JqhuUr|WWl
z%9nlusKvT2QHNid!u;ed1-R2SX(&VG)(3W=4)+)sBKYN4xRFfG<H@KKd2R_!8)@Gk
z^hm!};?%_b%qe7hc|5Jpd~294%j0j=8YnGXR__Qo^;c|((>qY=buW4UFtAl(L8$Ck
z=W}5$Mw5PYRFS{Sp>ERXTZML~2-Hw;I8oZEYs5gERuuZ2F)yhF>8NcZ(+EKCmg*3g
zVORAR6Ujqk&IBA2{C=M9X{we{*xyV<WgSA%6E*z%tSKONOu(~1IDy2PVa6R1R$;N>
zeP>tM5TKVtEsaN3PXp@KOf`HTN7iU>Z?CrrsP?S<B<X_(X}!V{jwO@*b~{4lxt3ND
z`n+p%@VbT#8k^*%3qtgCZLP7`7z<tW92ApqH-m5&{e5Al*<wQd-iTdbw<fPMWUS_y
zkSoU1Qd+t$oK<OSTi}pPqtbxz9Ac~w)}VDqAGVm~cSp8;SksfQy@bCL8fx)XpJ&NE
zqs`PE2GD&jXP*OziXV^tbm7O==9%iHHccS7r{;~K-A^d>>n$xMK@DXG4D}(&Jqo6v
zp|!X;&4QY}OUhk?V9C>fQ*(D|2pd-`&Eahsw7LLrLUtR0U8Z4o$0B>&F5ywiy9_u{
z4D|-zG6Iz~O1g|z@T$A8m*S-k=nR&#X(2`G8U;$#HHQ}6j4ZJfb4eSzXfNKC1@?Ej
zB5q;@b5n3#);5GGU<7baBJs<vGFSP&iC|IjUKNv$I$<4y5pe!O>yAJJqAVV`&Vo|m
zzS(8(fyD&3A$<o7E95)fB)U#-0yI<gDz-d06)EcBEbDxFRf9KX9imwyi(#<_Cu|td
z1XThu>{F^jJ~$&er!rLCkn_GfFsWM7chsyKXG-8mW{|FdqJ3URq;WBbrJY_>GjBpn
zm04K!P(rV4nYhc2{?m5VYGX5;3ZB7+LefdUGc{twvc5P-)to0fQeac*qV&h1{t)TI
zXm0-e>vn<yg)Uq!BJh`!JygD_JsHA|)>?%#x>LUSb<M#Fc|IRoJAaSZ3N0E7@?26V
z3O3CnBXdLxM7q$;^a2t6hV)WsvV=+lvrumwnW&Yr?KMu5mAJL|1#@=^@1I^P<_xcM
zEu5=<)G_TTP&`*J2c(@Ee!ZMouVUWK%TI*T0H1sHld+f<p*pwnOlKJ@`!gg;2YDSW
zs`cO4`L9UQinN0<Vrr=}fLZ_)pe<-zNPkqYS<834s>!EC$g}EVBS#PR3Dnrc{CJ)v
z2k(tdhH_NgyjZ$Kr;n_yv`?TM$MEo3BfW#@3}RNQ?uiz&{d&ht2$6QTd%wcB;@V<@
z_r>|>8v+RV7wLRb^nXMOm%tY8rzU{B0ihm&B&{`Oi@3Tt1pFKH+@XV@(76?0cb&T*
zohhSHnP7rrF#MXIESWJk8J)lU`7SqnL<1uUJe&ao5JGU9xAcf2VNpXTik<U~VZDHY
zo2v!faLgrDI8_}ucp{s};IP9Swo?49eO;@=^=L_nH7cyn-O`K<%+e_n3}J^Q$75(~
zJmiw32C%rm;)InhP8L+$2qX7({#d$RT#mL}8Kl09PV}%@q+lwp|6ZE2)1d8Ax}-=b
z?83jLZ-*3>`<?2r2E(}Hl{;`}Zi5u_i=34Z>;+uyp;=jB?pNWJ$j6CIKpD<Sfh;W!
zC9c+_7NlJrQBP9Gq<TC3c(#8_A&=+XH|I(=6mVvZ2m(!-3WA=m$Q62Oo9p~T)cy5z
zx@j1biZQsu9vxl>Z=!vx71U^4sSeK)(Wszqz<u($r&Yh5>2PMoqnouZq~K+jPvE%I
zXX8%EooDg|d!&{s$?<ApUpsqOsrbVoB|}x$bYboK5e?S`IR9L79cKAHY_wl!%du=W
z-=~pDNG>fg+gx(Oa_Q=MWQu1Q#`>A?0LjU@woyh`1CIaN<s(qAvFabZ-n&eRpuIX{
zb!4qWFZZ(;KkOCpR!Z#2iZZILqk8WqKU6daNH!2=ECk8HBRd4iyEv-(AD;psGC|Z%
z?BB*#4iRoslUz=r{>jd``qXoXEskdgCP9FUPu0-UlL&%@;XskPt;t53&i>ifEHxrB
zs#Pu=1;tiOVa%JbRNb$n-N=HKnFX)2wrfQb#Mcqr3y<jJ<JK-WJ0_ELF9VqTZXR@L
z96o*bf=zf-Cut;J13Pi+**dLlaB5l?-4@E@Wh(`vgm@26z1OTvR^)1o^-6R>@3a`;
zPw0M)xq7xIT@MK?yV)1|Flyj+?zSF@=ER2t1`uMhujmqAajdGhtJZjphV0PSyb41r
z^#mOuLt0PhCTqu!dP5i3=X18$`<JlpJ0?Kb!DuCzgMs>QO_^|6fuCELS^gT@ei&eg
z4*7a!>_U2hZr9N4B~6!`_I<`JIUk8Jx5R0SQW}o4DIDB}`IvTs=D(S9_K*7+k?hNH
z5{41>ky)l1Gc~=1`1q=R1&tOBn#0IG>$$v`pU!ayW=@Qf^~i+c1Ww<iQo^BNO9r!=
z2?eDQY3?suE$kfKweQIHwk6CYP(n)g#};~ES6{8&kdK}Tl*HH%s{XObr#~eX;`UU)
zqtoic(fwPm=$yMdnC*&F{kM#`pEy<%vH$_k8^)*~An-cKNak&R=bLsG8)O9=F^NX`
z`@jv4CY26GRtH{+*hePyVwcq*At<ZCvS`wInTXdxgBxtqQuQp5f>pxfw*TACSE3D<
z4tONO7}<v2AXHS;9M~p%NLQsu`bt25Qp@Jx>TlTxNC_=8Eaw&=$s;XI=^TaYdOUG|
zeMPRe+1L9?K4|+$W6=QH(t8gD6{H9-54M`BTW4-a9Qe@IAV=*3lv0wJyef)@MK8x6
zr<>2hJ=cRQg?;d4^utiWq*=-K)0Uhw?uWO(XQ4Twr9*?u&-Y1paTr3mY6<gLw?1Az
zN-dVsOV-xB+S~4~DVF)b^)!}<p}QNCt?3O^;orJj8fnb2o+sMFL5sk4b7_+x132C$
zd1EuiB!&7gx8p@;5zc@#w-!fpnVnvWyho@2qv`BH33>sR=-U{Lg}raVH_X2VFI{mh
zbyg2Qk?kB-zx2F(mdVVEHu1--2zLdBaCASaKG+4LFhP#-?{*MXJ-KH@h5&GWkyaI0
zhb6;;)Wgp2gcNA!TE}xEAt1-8FhS}0Wi=Y6sjM|VxR+^}5A38*DECN{Hu>+>YkB+B
zn*8oi&&iQhx~k;=_AV!ovQl!|&dh$8kv`?PI%ZXn%m}-Iqymq@VJV2C7v&^avf_+J
zEZ}~}#}`d5u=;*hVUe=_&C(tOuEJP%BQ6`H)lPtvD$Sgvg6;^OP+O7~5e3~^38If?
za6jNM71XYUvavw#FpB6&`7|}tCBQiqg~n5eTl&&peVD1E0n%(*K~)3;7Lt*{z2H`k
z)sF@`a&7%*cOUlRg!3%0D?^;1+eW5%0I}9|A74ykdgDppT67`%4U|2c^}uzic-2T2
z4&?1_!+Yeu<2d0=O4Bb*60lIW6<<=PkW}NkSIrOqhP*X@ABi;h4#cTdEd#s7^Nj>`
z$4|HTe4X7FM2eiQibX~ryA`qnT38dW8_2_a;}jbOZ|4R@;wJg6y#G}J>Zu+hZo;r_
zW4Ug_pbf6OrnGKc^6_mZNhr8V7`WzMk*lwnV~EJ2C0uaCq4CKJ2sqiosCC)^FTN4q
z^kI@P<^b1P^JAsp)@v(b)(w6ntEJEUdO%;pp+%@d-<G%3gw2jP^)23$)k_kY)7a<i
zxR(Xx9tvh+9FI(HMqB=f+f$#fz>oHbG)t@P%+K`7LYj>96nMC6uQ4(iq@*LsSn`#r
z()8kx)Jr}+ii4crB)R2Bnw^m89(7v9O^{yub~Ia+;|Aggh6sG-&nT7jc%4Qdhrg#r
zX!;1LvR1G7-j#(=zh*4az;aTAp&{QTxC2ryXWec{ZC2ASP*?iIEo?rIQ`l!T8VP0Y
z-8y4?#HRhZ>o=yJH1kzuBBq~GeLJ<srjtYBXNyRt9XSaA@(%Nq%69A`o2bW4^ooRi
zBe*^fnHo2fne2)E_t0W!m+OlDzi~Sfx&vz{CYg4xD~vUL57eCsh2jatQv>&i8Ng<-
zU+1J)FSUR-Rd90Q?}&&jLAVwPHfpFNSqu<bb;b)s=5Tm{pr{=raoG>a*~!o#qp9Mn
zWaq8O@y*DyvqouwI(EqkM$^43eUs#MbO$d}WekS<cmm`Yzv>B-Yu77{AGG#PcAyWL
zRxst&VUP5}z3a=_t<j4qVy*a?uF^t`351iwn>5>U^=3$xSn}^Wig!RFK4?eaTGqFV
zz=Be;d73l5!*wSF#;c{b>l?CYePa&>Es^{rr{66t5%UK0FTfRo-C65BCZ?=m)V@yG
zL1f1BS*Y5MDe>gmV2pM5COVt{dPQL6FHV8a{y{*204<KZzu$kak6|A=3>mT)-gDw0
zQZ|y1RvAw15H$ounpmzk2=sdB_ks*}Su{WmQ7iTuEegMTF(ctF#(Sk&1qyMCf|upU
z8?Gb1WfIxzv5&OzH?Kyj1%ER_nKS@7187;>hZJ=dQt&~0itu|3Z##5VjLe>Gvi{L!
zlR}fTnzf);vD0FULaYWW*9S(S3LxtCVB|j_asxMf*FO{r`d%hVke9*oQ^PJ)-6!!V
zY!6P8)17!66ar~28;@>GpxvkStLi7Zm38|)+^frIYn|Ry*lYj5a8iccj)^DeR{S>e
zL|J|4RPct-MjZocuM)jIQ5;{uIO31ZM_wD0Bfw9f&5Ld|m!&y_YtkVm87Na~L%u;|
zhhVb-cK)-vRZdy=NZOdw=NF(MUB;sgah$>_)p?2ydc<EKJD*@LzMP|UYe_m$>5W8b
z5CLR-KkdZ5T@DOVzcGEqyw+@2+^J&S2ZD>h<EK>=J&j`Je=Eh&Z@JqD9B+~V+S+6+
zS*+lWJ*`xQY?=)K-5`Gps`5KIFoOA672jdj=2J{5d=P29;Uvt7m_)dqAjv^y0T5_M
zMlB;6C|PRHmLtGe`He&GX^|hJ#aR9-^~04LwD(Wc-d{Qx!`c0&aq)$r*P1Aoz%Zd=
zoAYQ!uYk%y7iH<(q+kIeThZa2EyBUGXv%~7t^GA-A)n`b$7NA*{{1}K&`9X6>CjnI
zfoyx|;=`?jB31+Q-RwoV4_?8^7Az7V4b0z>%-d^!Dp3s)-n`H<*vt5fw(C37)PDof
zFzhdz*=07u|2b1s|B7SriOt5vOSn6ba|JQq%5B||U7G4#k~lQJT;+6^ivgw|LFt_L
z*xJwN=|D+UgU~VGtYwbJxJD0_kp>*IkCtx4D*4kSF-#0o#2}DtaU}5q0H+1M*~I0P
z=)d&vPJF-xl1<c>PBNYYVCAP*!Gp+6+z`(o^5F7a_e(HW%(!#rnjrV5?p^u|dhZy&
zyuA^>W?DQ%u$;&uk38tCfA8dG0D}a1!2vYWr^288J2l4V48Geeb$5=fH^(Hk_=I7A
zG>vgCm`MhhZjz&$yz7{vrAo+dt?=*;B%5&72L8{@PC)P9_?7VvQZ@29mxu$2^5vk&
z-P(8em|iA=1K;}4`Mffcp=qycm8blS#^CY-ir$jD-2I9zy|{(^9mKYw+!`HdK1Qiw
zHFkYoIj9mn*K9L8y<0i8WQO%ohc#uGmjx?NN9CM&rmdRhnv8BF<gtDbfLV4$?D&)?
zeW_~>cC1uW3WHKKs=qsTit%`_Z{57$y_Xub!g?8z$H2@{;Adh(${b6a6=3}NQhCal
zEo#bhpa!MHpc$0e-5l};x|)5gb6-`Ua@g(FV&+JrMXbM1+fXd$4VmS+F`Vx!PuQaf
zPOxD`l(GX|ai_e6ca)-%P4=P8yS?wpta^>&McUm@4>--?&45eQmh${c!77CMMOP@=
zpwbu*3EI<{LdC9*?VzX*OEZ)mngYd#$veK`2qxHUk=gtVea;{7JRCPO50n=kf!iO$
z(bd=GWqj1M{+=xuDznzID|(MtgWUjvVNU9DJrhQ`;r8H1+v1hQ5#u9XhF@H3SKu?E
zM&tCD-K`*IJ_E9bQ4G%=+H5IdDs%Zg@W8qPbM+b~8@H#5EO?v2klmP#XY^7J(Sf}+
zh{u#hg4A+b$^{Ffm~%ij{OMa~{Q3}=s5J4zG|*!5LPUDlFP|4o9UxP^O5yq@cGo1$
z!j^b<!A`AT9Uhe`aS+tO9iKKhOgM%F1nJbTAIl*ZU7chc!zgQYg@Rhj_^eqmA|Gfq
z>L_+cbJ6+yy^UUzNj+GL$iJytlLpwY&50P+VZC{^Sk`Udsy&I3u(#apfKU5Zf^g+i
zGn-0pHCxUQg{6E_1jtP}FZ(u?aKdL7RRIY;VjzU?lj-@jXp_7!29}^uOBNOLbs*hm
z3Y>A2v$N@q3rw<!tP~#3OWVuwllm8NeC{1!A`(3~mZ}u`?&&IJDOq-?b&~XlXY*nM
zhjrKpX>Lo~C!ZX<_v$zKLVpJ{&|Q16Q>XN0$8)~xY`HRql@yHjY*)GC&L<-#piotf
z{a`5hqyj;{g(^=Vw$ok8)O+rG&h4ik-Z37Vq6W}o^%7v}SZ4~=N~{|=I@t8W_Sx<5
zFYcK&1yt;MMG*_`ys-zzgBEN4c^Ez%CWuk7-VcM11nyvXc2khgil*8yb%hO+U2`O9
zw9LHh&b&Z+WTUJbj8xeY{T70A24!RN9X)!Z@ZS50$+dQqh^o5i7?sVzRcTZ<p0i5%
zCPNnQ1qKW^E-6}wcHF~jY;X=v=Dc+6c9k7?xW7hV=*Pm1gCJeuKE0G2{+6%!{NF{8
zQ9k1t0!=v9d2!9bI>~?>jdx`0<)b`%^{=Lou4YUD#D$R#*({Wbv&$ZzsLZc;`K1XU
zeAV!qt2z}JxJb_Zfg-Z&ox0_T$HK;gkX21V=K+tV{dhQ&;)?nqDmcKj=`4$~1eJXr
zHOb?xMwa+I`K1Awk>nl{HKep!v&HP>TGst{1cEp<w4nQy9ui730z4Y4s;yVbB0U*L
z+;Rv=X%so1eLZPPqP|Ev7i@)GGrHgWm*8M>*dVzHydEN%Hc8%45K9xhQidVC&UWw=
zh|1EeGdtSw$T??;<s7hw5iB!R$*LA2a(&c9C!z-eAuk^@YDqs@<*|FAXq@vAK6jn2
zCHSDXBdKv^f4QU~x{)^9uOes*d{CtB9TQL5=IYlIojfpdLM;PwISOXA0=z+VmcRwY
zq`3|huXrQF@k|VG9wsCI29xby`5RG24k@&*semLi*E(|GgI2Y~NY11!$OkEtOC#_r
z1#O571oX#@ezAQu=ttGCik`5f2dr|jGOSyox*jnZU^V{oHbj;G{`0)=_2WsEkkD~H
zzV||9C{;KW6PM%GdgVqyG>fs-HP4-xiwvPco7(eM{2l5jpNREh1l*xxm5CkkPw5mt
z>3$PA#1U$K7P#?umw((X;+Y1xrz;CjC8z-Ocq+*j><kLk#$_j(C-oN=Tnv^0*fH4M
zb3(LVy#yun-UaW;%@HiMlzwL0$udz&iG>C51qs7S0*J`~)A-lfl5%y{U%1@1b}!YY
z<D$@M+I;Xy1_g`^^(;}(?F1H*#!zkscDyIZOM`H7>cYPE3MdUSDl`i$ty}REctKHR
z`}@U(WV{*sIR;jeJnLLz^Swkwl~JKeGFlPL>l|gpKr+0k5l^tm%S;o@iqWySO&m{d
zXrv6zrf3grM0-6_Tzn0&oN4)LeW3lx#aGklbWF1;EL6(n-bB!4F22De0m`QqV4+NR
zC6$La0L07<V7L)i0<lOhRAF%?@-PPp{1fuTxmY(PQDcAd1rR=sB;_Ts_Rk^$KS&CD
zL(v}{p&<VYts7^3igg6}xFnyj*Ktv{(sRwqQ?INA#?EJp^yrtF1>WF}l)>`gW@;-O
z;QKi80ABTOB{&Q4d8sZl8vyUNA+3=k6^#b2S=#HzmG&vu@<reqhlcs8IS8jO=Pcb(
z35fDKGWXZTI2^hdM~V()JHo*5EQ!BP`a&35w6flZG66aI$WBWJz1@;I<K?ub<LC7c
zLGyxtr;VJW-s-SPMEx6sQV?DbV0^^UW@H`&RKIUzs|^j#h(gs}6u76*HD;$uf~ak{
zSJyCHSd-<}=E(Kc=4p?EQeS&zB_Xz|%9>*i7RLn)y_e|(*N|-2$INhykS`2iWM9<U
z)VDt;ITr}BB|Qv3GD<9X67CgSGvBBCc;6)Ko2~^HOA|}8m7~qkHr4a)H6ho6Vj>hO
zeJ_tc^MlF^dqJ2qqF-3S=ca0OrH-fUUpYpyVFx%>1)1V~V>%O3Uj;)EDP`{Vg@{`Z
z(PcJsWsWuP!SpLsolSyrCt?TLh>CHWXLccv<Z)DY`pV@TQs~C&lVGY64RYt9AD7=v
z=f_}v3-Z9Cm5Xy9=SwGALI{$iR++&?b9b^M+wCSz;PBT>#ZX~4+kU)6w_)L1Fhv|(
z=%E?!vd2~>^|A5Hd_3lHTLYI*t6@*Rkq=NkP%1|I&a}NHtxj}3f!bm8gbF4*0ny8&
z&}eHyoMy)4XW+A?rhKUIi{1a7QcFc-t2a-1FI+Jh3D)K79lP1063|pb2tM7A<o4=|
zh2YeIIG}H60$j=)<$5YzZP$v05SPxV?RGuup|_oOZw6zcb~!J^#X=T7Sh6bG`J92&
zCZ+E9w0Gnbk#b@UI|$RAf}ESNQr3=Mqd{j}(_A>wpvIq}MoiMLU#RYh3_T67ATq*%
zre~3qaY^U?g|yvY=Lo?ro#l(;T3t(A*g4#?!q4f`Yjo{P_3o`3&zg^uF#&5#ha36L
z+$!V1we;N?I;g8-!SYyhLQk`a>Sm&Rya|}iaAw2Mxg_3Xdm(t22?rN<QI&ixY#wdH
z1z1kFZ;@#%+}%mvL?UBO*GeQYk;?=pdubf~h9MX{eI$665~H^|x><#-VW0dy8(ghd
z5v<KFirCd5TJnH>m%G;P+#%RyGMB8ByXm*hbM8<=-3=<tGwp59uaK1bII6$PPvwUI
zMVw`<R)-q9xKR37Ki^%JODm#lgH~;|pCYVYg6_C-+q;IoeR~>my;0>5@GG?j1`SVk
zWTw4!XD&ZUUbzoT149{qDts*s68dr6rBeh$A)iJb>azS^fM$BZXX3?F!a`XG`7%qz
z3lN$bQ|m3+T$%oqezesW-;(J2EB(^xY9wwYmIH>_EuFXGSMONN(sTL+DqmV3rQy{p
z(<ptz68ft8I=MBt<}#2bAAk-U)DYzwB2DzVYzoU+g#HSW<AcOw{V-?uY*SelZ`L}0
zLXR+Ls$hDOgoy6FMfk4+w_KRoyWOuWT>(LrWQMx}MVctEGjpcJ`&FFds46vP|Mt5h
zP=8N+Z7S#56&I&<VXX(gu(v<6u*Dpy<OO!-k?fH|;hWh;7L>$n!7%pmZv^iu?X$6-
zW78Epw=)DU{H(83FjdG5&cy3%C=yj$V*8`#ua$m<7tA^UIj0gU3HDZnq75MKtvgcO
zR16|NrDfzc=q;&%s~KmXWFJLpg5TDrGF;cT3vx`Dmk>{Z{S^oTJFo%xjDh|z&j*C!
zFh<pXm3DzzLcj6n3bYj9@{}o;0b!SGoK;OX&=?K0y?m?FS%Dg<z#MW?UmiwjOKw5*
z4+~PU`^qzC`<%tB!zs^?7k!ze#f*l7`+lLGj!Y>gPNH(?s#EQzpYJCa-THNzi05~{
z8`qgeXNiUSDlq}90gUsK7k9SrL|3_>$9BkH3AHJ#;?}{*yzn`nHtM7&BOKPzO1I~2
zf7y39%GGqn1GZ@F<Eb6-YijNJe&;&CqRm-G`tG2|EYu!#7d!dRlW!l<I)vCneLjF+
zti@1aN&)l*CzlDhkBy#8HW%2NvNx9QI~#3d;<y&(=gZDIYCGBHX|g9?{T^&fxUX72
zycNvwaX>^jmc~PpXy7D?LK=xlpBLxz4-z{Hj!yaJmWZ-Z<5id6Hgmxd<FRfej$G-~
zd)rv}Q*pRaR3uyTI$AVNkY<vNdJfHbub1TWr?j}wGxD=<%l8(|=9YSeq4@JkX_?b8
zp<7rF#81~fkzfp@Tfa2rslH+@tIKcF#fSaNC~27=BullAPWloAZUhK9bN(7UKIY(P
zkgp7C1_}C+@sLKLM~|kBhDqOX9B}3SzNUHQp3iRJwQU>|-FgC<LChV>>}QRLr^VV*
zyj$4l;)y)S7WAsqa*g9E&d)rLrA28B=0TxlGi~9rT5)q6NNDYPOwvp=2RAOhsaMQ0
z6zgVOi6D`8m!W270(c%~)RMrzoMl;#F^rW5G=72PBB06ox%omdu2C&Y6s8EX@PQ<N
z*`(Lx2$IEnX<|tE7dYTM#vpdnX1E5j&(mkPb&vsOD}&U6;9W)8g=K6N`-#ze{7g>Y
zXnz57Fmpr~ah10C{Ha^W96^2m?6Hw-%iZJ>p*>kwa^)=;A2uzBh=cT^ZhywFq_#el
zU=`xx86s~d!PRE`=0uMP><lt|df7)wb8xnY@@?jLF=@#mKy+f6a-%tm`3IbMUo=1T
zwg|tS7aaWIR$gA>5F@C@UQQy<Q1UVBV$ILcA|S-0DWNR}zg)qoKuttn%w`aaAkZKK
z5uA!KA$9qs%0%wXEIxz|Y&*i76fWDuf`%_nLq5cTp{BA426%@&gah$(xiZLA1=bR8
zGU{Z0DxKJfO<~VYR1lz|jLA7C?bD)eO}&odqq2N0h8S*F+UM604fM{<PT|7Htjg{2
zLF!H-$<`#JdI=Iu2M~G`G1g+#N-%UmcI&Q>{!e-9lqk%mQtWEtMza*gfD!-t>na4%
z!IXQHwHn9f!wB5JDIt><rZ$F&28>R?qxU4#$Mauii?Yp9hS06QiqWKjBllx1j(gT3
zOKX!ph#__XpI3q$A3AU0Bl96a!{4MBj`wk@BKbHe@B%OZ*-e<x7CsaBtAmlz9q9My
zD~tl0bG-W%N8D@Kw&WKD97*4$>+c(@6~SoSaOqALb8~nf(K~4nF|JOuvkMaG5ePFE
zVW=N^UbV}NYx|o@ZE7j5jbNfPzHa<LMTA&*aK4M316t1r6?@wqesyQ-z0C@n+fz3Z
zQ*pDMmCJajJ47>{He<oXrBtY22TJWT@_j$^?aTwS7?Z>ny#4$hfCCThn2XZe>M7U>
z-3;+rW$;>y4?OMfgI}e>?A4c9@{cq<d(fmztm#e5(a~v!`%KK+*DnnQKBaBY!lB-z
zP@?ep=rcwr&w!ov;JW_O`lheOCpe#oBS|dhiA7HPK_6ulMMGA85ax`wsSxiBCbG6(
zwzZ*XfZc^zp*(-F!}I*YTJVHED8`VI;5p}~?@ZDz`4eX0T57Z7GjUogEtB8FK6K40
z+mF4Zbbr0oi-ZrNq+071RXrs|;>4dJ>)++R^1o=#Em$E;NCkGgkBJq1-WZ%3Sn$~`
z8y_@`VkHX@q3<PB@3Po14&EO6yM36&;O%N=gh09*2FD5pZE;CPpYG~xP*IfQ8ujrL
zY%%a^rnWU&c04F?=#Yay`FK_*mFmtV3=n4PacX8i<JV@Cgy{q<6Ug6@g{C_x_wK7w
zETx4YbnOCI#PF_9-gSnlq96oqM6<q38nTQN)CUb_oBLo`AlT2Os8&}>;|3`pe<~PI
zumnaFgSZI=<~0ro6h)#%>dKIUv5A?^3g}<wDFs&lb)m??LJof`hf9$rWh1oh5;XP1
z+m)CmQp^4=0>d3hXU><$M7R}#WlVL~skqX|5%xEI5hy%zVrPCGYSeO^p-}spGc1(a
zMN1$Z)*<*@_tlDk?ml!Sdv?oKxX^cnPoMHtBJ<bhykU?D3#Fu$z%abV@mj8Psjxe6
z=2c8bn03X@_-m9k8hlONlMU|oBhEAI#@1h3j`1tXNPZ}6lHl!AXFdGs_Fb}O5s8=x
zrF1M*qm71U>7!9g-^i1lF^?OhI)!j!?M!}y=%}@EEq#s<(W!vIJ4@d80VV~1m?l~~
z(Aueo4b26Wx#0#G3%paifu(-_YMcIA1B_*mA@#qE5+E*K95dNk&aQzV9*0U|%q3gY
zoN&lO0MzF~wo`5zRDW?$ugq9rz*FhISOF#xV4u%)bf13BcDyk-V%)(+`)Q_IF=p$y
zW~30JwNQ!t*4Uh8T*%ffp9nz4n<+ykz3gTEgG4A^!j0J?sJ&J|edExYgHSApE<oF6
z=s*O8YF4e>JP+Y<$#5^E3&!*#TFa>I)DR?owVOQF)8_Z~)=Xg~pOIK4_^No|F2!9F
zCsffp%d^gfGpoamP=5Wg9(ZEvQb}=pcmD<<)4=SNr#98oW!u09+1eLvR_La?Com)Z
z`quy1Cj72_qbQnIp3b{6=U18fv=H<Dy2<e!ke3X{Ep&svR@W%bz<L|G^?XpxkKAz(
zpEIXP<e}X|ziAUB`v-oPKH4Yux-MEOy;pQoUv={q*m)VsmolfC6JN(0RsS)~Sc6eb
zeMmP~_ijiB#j1rneBd>@Bu9{QTAhXZcSkwKlI~EMYW4zT1=hD$Xh4PdMB>I-=(!xc
zbwM@#{n`q$PlGSkV|e87vdMg2YA}HP36??t3cBdU<ydMC;!EF`5+|^bY-QWAuV6g7
z8qM}~+vBHf8tM~}`7(`?S9)gqM1{T>Py5s$)Y!Ej)KpqEFdttRZnl|w?`OFtw6`N0
z!XDr$MK*h+D~%=@*ZGGLsMwQxO${9y;S-YFxekW4sh7WbFU`5VSMul9=I?8WL{0eI
zE(2?=xRE{~!`Rvp4l4y>u?g~Ea~AaC)!E8rxQim4aRl!Wuv9Jog`^~xFE-X!Xn-t>
zavg0gb=h^3th4t*1c+3hK@wGja0ThRJJ+0dEcDBm7_}8q0!@ro@fU#x<uY<@jloeF
zY6swliHC}{u%>dF_#zDVt*Ib{ehA@uj!WQEy`zv^p;Iiu8&{LHD=Pjyu^n5HQG0#+
zS3JDrq=a(}BPhLNzXDlAj64h!1yz}|mVs;)G93oXn_Qhi`ahN)#PW$M7Hb`XiIN-;
zUiqh%;h=HIKo$L;9r)&~*8F31vOzBJjnrfLINDM--@m-8;{yIg4G8Ohs{z4dVWh+R
z_uKz$7-6L(WwS?%+;Obp3YWA7H0Ue}h{9iYk8ihPrBuGCjZe2J8k-AWc-gHJqvM}q
z1($n!|Kc`;GqKs6GAXEZIVIUAGNnD)+UZ!7R=C|<vU5dkF+M)a_z7n~p%7JnO!_p}
zcsTTM!L4O-UVMd1<+hm^B4H%Fv`l2Rbv~p}1J~}u&`ok^_bf6pdL@th)|O@)yM6Yh
zE2cBWpkdf7boBd^akJGrgOmh^?YJqHMQII3Zy!q%jNFnve0^DJ5ypK5_6!hTO)2G*
z)_(hNHXH1>4fj+hTUCY^CRK{%n>p#U*YhqTH}L#%6}{GGNBz5onX|bATNW%RJsO-c
zrE*&5rRnGQ3Jy$$_v!7J+dC^d$);*-RbA!8Yr`L@W~(i!ngh?lWT9F}Nrg|Al$r2N
z??RH~vEvs=r3T1k`Uce@GTR6%fP}o_zK!2~eS4vhzrn^;RWr#{YFJfCQYGaX_W-$&
z-Af0ZP%A7HV<$v}4u71-O^<g0$5}BXMh$euoXB?Y^<X#&Gl4`JfWV?5+PV9utp7NQ
z<7>&#BMiUjX1?75?oY%hMBe+n5SFx5`jKXWA?#5BbFL&v`V!ma$*{s{PWxtorLjlf
z<1v_`IKn`NP$8C6?yyxlVI4=AL<_jY_D9%m2?Brnd!j_kWXlhah7tOWhODbVwppE|
z#8=S)NrU&hh;pH@;y*(7LYzi2J_rf`+mayI5!mKue((z@#?m}Qvfbw4kCwuE^M62l
zA<ms%$=l6^-7EGT3ybAoqP%UCrcFnMds-`AI20h}U>12=BO3|v#b9)Bcpu#t-mP<%
z?J>)wZy$+8OuNn9Ib=JY+!vZ~%dp?M&DBmPNPA{KY#fWxcxE^Jys&mGR`Rpy-fgaR
zI)U0VTmI@k5i+Ml@r|>n{yeKyr|Z3F->Of--Ro&gVtEyHmaF+HuOCT;<>-wdXAMcY
zHO6CX_!~AdJ7R~%{YMYwUqHk5FQ8#y``>{^DbVm(V6W!CLIeBxe11#ly884BgC{1(
z<f3=u(^X4Ganov&$n)T0GPBJ=Cr#|h!2$Z}>aL0%SCWGhQz64WlZ&f%xvOHySoe9A
zLZ@-^Mt8KLX)VWsp{|S6?0&W(+uv*Dv;CE;47PJ8;j(oVPKsl9r;DY3%f2haxM|4R
zeB#fm(VN12ql_e{{ghRn>G@xdo__LFZO59^Qp@EACm)3Vrr6)$qi4k!)P&Dk*cW=b
zw{Q21sr}`fPJHQgrx{tCFrOs~FYuB&Z)*=y@4Z(xiK}UkudW-IrMjG|)M{4FO?i)B
z9c*aKpHn+YcVBLdl5MqkN=hmj^L7ep-t*q6c!!>&b9I`a#g*R~5~hRBEb>SahYp@W
z6zZU5(0`KYAUE_idJId;Xq$s-8d&rF2l+6dB9IP$&@uBLB@!T{o)O3kQP*^-Z4(9=
z^;A^+Tzx>j<kZwf7cn4rgQhBj1>q$6>t_-OwG-;R(?h4Xd|X$r0hJ{$x||?6K*x<{
z;@#21`n(UlzlZxZLT+QR198k3$O;7j_e6xGE2epZGzGNGpnJ?`9KFvuf~5|k70`zt
z5qJjaDs6#1?6%*!KZA{YLy*aW(A$ltQ?#E@GGPa~C#rk5`;_EwjrmqoXfff3)OUj|
zF9RYi$|YdS&rS%#HA@W0nh?s0z$(Y*org~`it0X;`7#rGpa{l;?;Xtzaq8$&#(Fy7
zMzQNqP&ge0>1DkzaV#vv%|h|iDi<~#CC|+gUYDOMqV<E!)qP?34>EWEflT!eG8X?6
zGXK!@>^2wlgN#=;{SPt_IVF;BoJRiz84h=^$8v}5b+B2krhkxGZa8}TDODx>2bq!K
zZkR~zu^pP*`%>Bejtmp+|1Xe<{XfY3A7uVll==S(8OqpF^?!j3-M>JFk@kNh%0U0O
zC?hDw`mkM{gS-1@9fx=S`1U@ME43ZBdOfXbtureqCbM%jkL$T8tBA)%%hn~O@$l6!
z<92mzOnLs|W<dMBX=5#Jvn0cEeqld=&?f!Pwd!KvE!*%yWD_3bN$>gk>G?0`Bmd;n
z@f+*XWF*jYCr(WC{U)OWle2<>_bAOeoYOid-R%gQOHfDI+!HWPu&(!P?@>aXz^3A-
z5cGOL1Fxv^;-M@0>-F6MEYNQoo{-sW=E*#m_`u2SjRV@J9PM2JTAx$O_2o&h_HMZ&
z<EG;(4t3dH*Bb5mF&s^S<4-r2I?J!DUdqGI`g+N?T3#h1jn%yMq^4~qTxL;Lo%%wu
zB|oe3?<3@@6<m^Xd&RE6YFUwUytur6`d~np6%<{1Mpe}|epOa1z205Cu%LeNcmICA
zd|mmXnNX;cyu1)?Ef>2s5)gAXa*FSZw+LsPDqZv+b)7r3ngRBoiJ3l-s~;;E)-EiT
zZRE;x>&3;gzchK_br{JW8aJ)9S%<%!@ILa;E6+!m!p4#>X$KfWpBnhhj<h^L@(74m
zpT~|dz=}s~*|94eJy0cJHD5nIRFD&lYnTPsu*ZJd@ecOEj*zPj0pK^F7fN<aw*2&H
z93emfTz56H>w2z^c*hWQ4L@|3z(tuKlKwP2D}Htyz(0ZJXKrRsup`L!1_C4J*OhBB
z5eJ8%80@q|d0;Xlk|*txl3pOqD)WboMP1(7QM7dyYAh<6jD@{;!&InsHr>8}juPYH
zB*JBSnoNehdoqFA`rh!xDm(Heos_WqXf!a9v_6+JE%eS%e=I@n=Sd-F8p`3Q=~x0?
zB58trwxqBdJ=@_Za$-rMLbg1gn>g_yxt8Yj#P{7N4fYm^t4MXVw%e7*Gv3?q5|87}
zz+zNq*Ra-lFU9vQ-0MR#KtT$@3sk#9sl&fuhW=kL^Amgi-=#C~o&TB6;1c;!{Chgn
zM6qaI9h+)RB$`iz^>)3?AaGN6>1X;QuI)YTjdA7OVQtc8{_I?g!{$*h;Bh6vA>nh?
z_HXIT{V4N(ePdE(@#bz==aW@yBVoG?%W84iFc{bt<KeC5D#Rn#$VyDxEj(+;X7~Db
z{T<_y|MY)C^YQ}??87CugP3!Mq3Xl<lfWkPzfH}w2yDt5xcnmVQ*}yfUInjYS(JQs
z`=5HK;p3H@*tC^j{>WT$=eoYLMLso{!CJ)<S$-Wchtz%xM#J@f6jfX5u;5;NC8w{i
zWw&3M`ho8Ex=&Jg*kWgW9dC}-y*6W1r#??l(T7>^b&NID2{cn$bz5*-#@coni^=^3
zT37tO98|33k(^oKdqw0H5BZ0g2qRz!YC3?7F<Jdn#By6ZQ3zBpF(OSY3&|E%QT>%j
z1=E2bdk7e=hcox^eI`29yD+&|lVzP2hem&T*r=idgn{_G9$(6Em;tD8hfo1_KLISc
zNH1zqgFiQk{Q5G82tqdjPG`%MswUo9eeB<0JbK~lSUbSx@Q_#hzM#}f(6vNVH%O&^
z86X3te8r)BF!VrG{@Hx}#1W}?7<<Hv1fY$#&~y)=Y^DgMQh~WTu~mS#h2%n#(r6HL
zr#%iuxyztm@^cKv@JJ>QT!;QGdRR!HR|2zY80IKhMY+neo9H{}+J6CDP!LIgB~$0Q
zel^$Nb<QyC1%g@I3A^<S2Tte8NPgT#F_C85POH1}n4NwWCOs!;yYigQyo-r!$*@0p
z&#k?SC4?~E%%Wa~PIpW@dY?0BZM;p~Xyl;ZE}95?Kc>lTnHcYS8S`H=Ai3qFt-McA
zbxu!=y-%24GZ=JCOP+Zd(_b?rc;uw@y;B`-nUvjdOB6k;wY7AiO9N;AqOI5M(;n9Q
z!H0$14toDr;H(PE6MI>EQvk)sZfMSzg6^X{un)lLL^bfgpyx;70nbL?9FmjsKaC{u
zm|5umpVOn*Yh6GK-+7O+B~bJfJH!kSPZ4g28Ee1NWd5@lfMnYy8pg*9`}zJDDPY`w
z2JnE^o#wVrdUQ2>Ze4u#q-%0ZXkz1RO5<f@a&+7k@srmywPjXf=2TW%ab>~ETr}EL
zWMQv%t{!PDN5W-yI4z#auZKNyiLJ*BA%MKqyt}-6C}$1J-K_4;WeyEZvc_&_+#ZN+
zXEWd$>I6V1c&~b!sy`155FT%UL8@dtK^s8NeozEWlG+UqEq*G&arm~0iYl`#x_<V#
zI6XZBjJ8kfH5^xRG|jqC9@%`^qP@#3yueTXq%}`b@4C-AMXv>$Md#AL4QX+#nEy73
z=*&)kckpO1e>)Fh9{&??_L{-l%A1-5nyW3lU2vJz9lG?+>ox?J7QeHI@%L>rOVdj3
zh&%L?Eb|+YamJAWHw<un`wOA{ir@-+Mj)XJdt`fLD>PuXoyv1=%XA)1wsn$jT~Xc{
zqqB%)0LI}%-Z)`ZfwX}&e@XL$!Lq`joojL!RQad#>q|wsf*`g+puM`K5(8lk$&NrU
znETjR_^}H?+X1k*M*7hhqG2+IvfiNj%9SvV@MY11aS>=1_NA+ZQud6;Mqn*WI~<S=
zfSjOWFcIadp+%;Qz`eoPhxf$!26$gk@^x#9jwH>f*l!Pc3<H5m|9)|`8TWY!4|(@P
zPr~a?B<fa_^ezK=EkeALC^|?P8=)!sX#v4lwyAVC4tH`W2L%+PB9o&ce?~<9jEZ0<
z#JKZup9Oj@kiV8P+{w|5igXg-HvTjc+(vv{Cu#08f6oQtS5wwkQ{Y!qqE}P>yFn^z
z?_JzrALNhSni%Wxg0_dwZOWDgTdkga)6CAx#;Qv^C|u3ZdC=hM6#6%)YN^2Ce{sIE
z{Fn1x*51a@$>7HvmCV-ASkXxJ4;?ilEj2weIV26AlcTAPJsCNTqM4(m(a*htlfJo;
zf#c63fgj^k$DeJIdOuz8T+AFz@l4%pjqL4>jLB&vjNDvo><t~re%|BXb~LlG7W^?@
z#Um4Br>CW7q-CaKrDtGZWnfhQ*+a_4@c(|JqP?E2t&!o6bE}@EgApW+tfG)AwXl<=
zrM{lE^*@7FG&OU;`)U6^cq%+)BYTIRkHcf2remaIVxwnfV)#Q(&HSH7_0!>Jypm?l
zMtJ{>gdESpR?pGY!AK9!`9C@`Q!`T2lK<llYh-Qs&qaahzkFGWKgWniBcpGw;AjO&
zBaO#M_s>$Hy@Mkj1MUCPi@~F3Wc-hd$N#*Lc&Vo5fW-0J`?-3Ca6wW1omprzod|vh
z7Jvk5T-NPmMQU!R#p@Dwy*lSw6ubRWHxwP`NUz*d&CAj8AxlYqowgTiKHiO_(%8>z
zSIuxpgM`TePpn^a07<pMWUL0BH~|p%6qG_253Lw^rBZ*4FEUipZ*b0GfX0||#13OZ
z(j678rE^(w9`4Vmp)YN&>>L2hks1IyD^c?D%L!R(lOzW!x-J?#8uyTUf21LaI~YN|
z_|7W5g(Mc*^xp{HoiwCaQXq#pKz{>iAu8)M2KaJXYc6Q`w0m({Pfc5R;dF_?zed_G
zv^B8ZbkI1Qx*w^x!;@nDF9J_fy}=@pxC@u)@B47ja4)0FW`i%|clj7MpT={_3C>e^
zkdZ*%ijx`Vt2OBfa!7|Y7>kG6_d%UV2XM4+rBk5rwEdERi7U>e383~{y=o2mqE?cZ
ztGY&q18h6P%g0vk-pVrEurJySm`e2x!L0i-FA7~TV7jb?vi-@O4C1J3!p1@5hQ3)*
ze~={&iYN>5McXZ<K0W%|Dj{!UM6OLH4UY@Cb99#K?d7jW&>p?$N1kJ?{0UHH8y15E
zz|HiaV3tqdAx+4X0R~^|gPg_Ky54vA)cvku*W1!=47}YR61$$M*PYqFIgU}CJlwpr
zp))AI^4?f&Dpox;v+wWA|Kwb6ej8=V2Lc}PDX#W`5QV4oSdq;@RZKpydhCS5I&3=9
zx^bZ^>4c9znQsVmME0`Sd{5?+`R7_P3Gw1cR}Jsi!(`IiwVi~6mprqf_c?D&M3)@a
z@Mjm3(~SRaA(1>B7SUN79=2LlrV^sVya5t)hl~M|IxLic`o9`G^Jpj>Espz@b$*00
z^f1<J6=P{^V+k{&G0BXziBZCk-Pp54n33%z)KIehFc?LVE&CoSOAFbzF<COU8RR#e
zciuVgk9W>{|J{4eJ@@|m`JQ|3_g+0<Iiv+6rgv=mdsClRr!noHx8y=P<^i=`B!2$0
zhGp+w(*)mTVfrb{S)W?6FzSL&`ae8o8igO}X<LjcMdw<@U!lIbDtvlJ;15*jY%PDP
z6<TEQM=Zk1OzvEo0e4}6`jE^-ls+NTM3F5U#VtCDWv^m$N|f4~Iv$=GEk(2!NO0J|
z9^(iX&lL=qqGA82?O`zJ%X2t)-Ma>tql}wKc3(EuN%j{i9NirFLwcaE3br^GI(#kK
zQ~HE)1C5AkWwGx4?YSd-u>a7Mvg&5ySV_1&NPh|;CfPI(7-m+6jNTxYZhW)&$$7vV
zjCO=A$pIATUtFK@bAWUO;&_)&7RVcb2puv#{-LeBCHM0EPEpOTqUeV{9I%A8UsbJN
zE7Nt*VzPZybgsn(V)AF_b!6W4y`X-fc^FeAZ)@ezc%F&1D-S$f;+yNu$i{PFrKe_q
z50JFZ{Kl{DaUn&=$1N>82wT2|kequN6EBF5Fr(`-MY7zc@o#r_gq<{ml&R*$I7Hxz
z4j}1{_+#`Fh3eHeosY5|c9}Qvb416S&b^-S&39a0BX-}7|5+?*`5`bzsfZ+^lwW-#
z^|hZ-tB_+7rwNhMV2$<IdIzuS_n0EKf%EWD0Nq!H#)WKoYnBLkzG^Dw%YlJ`jvG4`
z=?{XYR(2w$5Tn36a&htyFgOz$xMKFS%;ixw=#$tWU?Iw9q@O^E(M$Xzs8w%Ly414`
zM^KUEksQ*~H2c8*v<K6h*?wzy<?M;hPU~&2&-|idPSuniVZy)@4I)?=4-X{Mmc}{K
zY!UHU<J9nL%B7&Lx7Ie^pP)xeo`n7tXjDOPpgIJVqhxiE>e83flOiY1so{KPE*AMR
zdak!jMEIvX2N$`vJxsP7p&3`~&k^IuF@`rUByj92{pE00flPB-GNAY_0Bh2bH}|hf
zPtLWO1|)6~_5{$Ew<87=PRAWc8`*DLC&Q!l2F)%t$i#1p-_Z(b%k04i)SP11+7of9
zZ#tQIpY<SeY5|#a!&Th?k?{I{th))~uXuJZ=u$!~A$C_?Wr-8nO-zW@9f2~+2K6M~
zT&8Rv<cf0He|-b8jJEFOSduJkMojc%O<WT}wq;FN^fipk-k8SmK|cf;Uf(Aaailgh
z%#S98^7?o=oM@W81v(G)Xv!eDg+%VBd@{M-UIc7_pv7KQJLcP4BkOMyCyoqQp0iW5
zy@Th&+nEHj%(pejEgP*mu*T2H{S^G*(J$P%;$CBxtsxCGMh#`WB=NiNy!Liuyk#^s
zwfE+Ta4AH9f7M36-7`JUn>_GPN8_mr*s(RZ!VQ`<)oRush}ZxHFPk(Z)N>CV1u%=q
zU=>XGaco>bW>4@rJ_GLofBng4H<K^O`wjV)m)rHyv}b%9%oQ8b{T+r@v?J0CJCA15
zC4WBR59^wylhPQ#yv+nlM)Gi2grN(xRNAUUY<0ErP7S%y*D_V2Ii7q4bq|Y{HA8<J
z>>R!{7V>Fy2RK$;wW2aTe{d*hIFsh@!OSpR2Iudp8O~PiV@k13$nvjExyk!F7HXZD
zw_|r#$qTY)<%ti%rbbGZsC1s)b_fZ(iHKqZg*zafoB0o2+}q6c%bdG8*B)C^CG;s%
zb@f_^xtGr0llQTGALy%R*x%E@_Y72)vzr#z7Awf12lca`56>LGZ`txa#6a%a>Yc9r
z*_)w|SjF$8kmg0u7y2a>q4r>UUf|$lqF%h1Q~UO^(yj{Xht<L$qvTzxsaN5A;r9`{
z<9=NxpYE!7(8m|gpN6`F);K|x>oi5C?z;5M^Agny5w~m>FU!P75W8C{6)S74m<#yh
z?T-k>$SpjY;xVyE>TG7V_^qX0`g1u!QhN^vU$jDz)E8~<=dU<@ob)PWP-jO(8ZFJ}
z87VfLNgd0!5#hwoBba_*Gu1!84&`|uTEpdDrQ5(%7tgl)b1Zu-pW$J(Piycf|H#m`
zOQgu(q|^GigFL^yCj$$;OIf#O6EOB~%>houb&_?p1wgTpV=ijuw2^*JUD54;y_)KX
zR<-a}?B~MWfNRl4=f*RZ@F@Nq!I=kZvlZSVcX4yNqFdvq`NC+NDGl-RK51^1)|3LZ
ztt{^!N#5<JQyi|ibnW8ClfH?HMutp$!Qd8HS^1!-c;l&_1Z1~h-ApN~QFaVOyKc^&
z2Gow?xiS@7=-ZJWvKkm(7KH?Na~<aG;G*b>Mp3Typ+s{zfXkkQX2-Mn+T1sL)HLJU
zhkeIJS1Ep=HQDc$<SoxDJn#+%HYNgnS!p4Xc_x5Su|6W1%)=RNiyd1NjTNITmXCX$
zk~nx)-H0t<(-euTpwD4rDzerNEnE^+g$<wCfhiMesrstJ4?Q4#8yR1XH>24eMk=rV
z7fSxm74g5o&mQIK1^}D;+;I(+!l+6?bQ}R-v`4rrD*}M+q%dky8myyf02t-#i<g4@
zwi!hIE_d^lg8WAA-w8|#qo=8%tpzjIGEsv=AP^%RV`F1AO?7o6BbWw63ua_uY9RH$
zOITAZTz%YG+^wdi{eLS}(6CODv6VplY~Z&3a=mwCE&bvpdE*ffckGK-P`?Y!Y#dt7
zo+=3>QX^ZP^b@Ln=DkC|a)1h3lW|PmnJ_B>sciRBMPr$ZdV(TWCmh6n!eMwA<`NvS
z4Z{|}QFq|Uo2kK4at$)l>T@PST_uXdYHmVr$N2fq{o6b6!|6(Lr}Rs*U>&wxmzZJ`
zm-}OKI*O9oQsTl~dr}FaH>dD+UQh1r8rQG57J8C-gJrqFV(>sbOKW)lo5ln2w*v5?
UESUk&)>PAh0OaK0mZpHe0VL<IwEzGB

diff --git a/.setup/latex/pdf/betaNB-999-session.pdf b/.setup/latex/pdf/betaNB-999-session.pdf
deleted file mode 100644
index 59947722f975d794b1d763c8038e017ec91c4bee..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 89277
zcmb4~Q;;Ui)}_l;UAA3awr$(CZCl-C+qP}nwr$(*e1FWGh>18SV$S46#?HIE*!#&`
zJ6Dn_h=|cL(y>C5&MghEL30o?5ZW7ALG$oH)61CJnY&mJva_%f{_g=zFJ@`uV(LUl
zFJ@!tVk%;4Y;R%;&Bq7r?BZl<XbbJJ(X1xxyupCj{YcHS7|E$2(O|NEUc?N~NJ)uk
zl_^X%Z32rq5oN6GZ^HEbtV=@f117=gP)Aekw%b#hY=Xif4z|rQMt)nFH-CYNtQd}k
zh6~O-BomlU8gGe61Ir*gAABP2*&~ryVux7bny9(q18YaLAe3aJ4W%Y}q53E8u7#ob
zZ^Ts(3;5~)RZ{wfEr;Z2#pTo>hwX)om8G6$5u1$=%5kLUT9H-(QyN(TF3y$;7KQnm
z8QTK*XrE&w&Ko;a8+6mUne)^9SwFPFX4AY`=ff6j&e1tUG(Q|Pj5MNX%3s=vfNtQ(
z{`sSJ#r1YztD<n&L_<4GipaUD`^VpGfZ99U9Aq~b*uRR+E#*A!(R$sDGT}CaGgB2F
zY{TgJVVfY*nzxlY%Qv>-*?*af-bKLzLvv_Hf7w7Sq({?cmZQBrRF}h$vB-Dp70BQ<
zS@kiFinvmPM={i()G+^)6oVALT!`2N!X4J76|X=3#qQBMNgRJZ7Kz1>e6N^Ie9&l8
zCmSbDuM|v|DXbd7ik>W@P|anO3CP8M0`W(g^BCn$C?-H(KTv&6)#Rcj7u7pW7i+AG
ziZq^A=N*N#rz)D$GR<i|7;aO&^ubt{N>yZv8Pw57?`@>WQqx<;Jf&oNVOI0X%3u6Z
zY~+OdnQmEPF5@%<bMgf*Q0T>Wlh5CeAXGU2_Ci>UT9m{T#|T}qOnwaHTgljvzuxmZ
z(-RwC92+gnE7W$l&2VC6#eCMS-R!X;fMi}V5Nz!Y9>yZ7WO47#L9vm)!N?aF#%}Uw
zcK{vj+=Vbx0e;opb+^+2AU=rqIKlC{gw(hTbb%`IDcaS>XI)w&qzU|?qy3B6#_Rru
zH)cP0wR9P1hgx{c^)u%Dc|*8nraJ3hYgn>*-jbc?&CVflJBCGxJ{y1WEt^=jGi}Fc
z86D*2i;}ZnsSMC;;+ooM`@;GnmoVz@6?|q@=aKJ@*?;^%FyBTFgEqA@`9C@TPxL?a
z!pQmWg~Q3o@Lw0su$r{<CL3bUrMkmfB#UysM;zg~u=z!aZ3**vQH@=VIH)3Gcp9+=
zqSL|82c1M*Lbe7Yf)yRATl?1SW~f^rQse<pE|2WJ$W<<T@3aFDJ;<ByHwML_ro+b-
zO)fRL<_|MT9|+`c3FRbY?7H8gSkXZ~{LUX?qG6;w2ET<c%f=1ZKb?^iSH;}BGrsSr
z<%3}Pig`4ygQD_K69Y<N4L#~NAX*=9{d8!Iv1hM)+jk~@wl0FlkCQR*wW(jf-|cY^
z3zRZ(;Y}P{Kkz`bkbw*e8&OE7bA+I*MfE0Z>1{<W_p#%5BZXSjPx*RC-E(5mT6AeB
zL!Avplq+yWK&AwINC;HuHg_HjR9Q9b{(|#xYupsmKCehR9+b;Oi)|`p(1Wwl;y&)2
zAuzRCM==oFFhxs6UI%>T{UKihEE&;j=aIxNqcpcxH~UKMBtKnD-ucdmP2fP)&5yKL
z2O0hOzQpM%Axs!%lESSW9HAKN04s!Lw12X6FC$u@@S-fjr+ks{R>U-|2A*wu+^<ko
zfjnh#9E&2aA&IJhS*!>4kYdQ$U7g^PP0A9V;7L&RPEReM`#ono)4Yh@kOJ`m<6<&Y
zyCioK>v=38Kp|}M84(mj^dkiSS-~8es%{0>5>^0f%=47Lq4EB!?}I~U_rz<rOe(|m
z4>8MHas@^7p~y_D2Gf%UD6d&li!MIoi0tzj6WHSTX?>ILgu(%u+GWM_*lEDo9M*%N
z3Z%Mo6vbn5+jwTlBx?R%N}F7Kr+Yz2@0e`piL))$7$1dzD_yY5Su{d*4fXOf2CP<Y
zdJmdP>E)J=NdtT)#0WKlK}=(qGP{1DQx<X7OVTbqW_qMg|Jj#c|M}K5nEbgmU75aG
z?kz<b^hCp~8)`Ua!B>Iw1yjl|=`2j<*C`MCcO6eV(FIf{#KfMs&<(hS@nY|4Qo^=z
zo^^nAFc_dBq*_zeDKg~P<=kS6t^M1N30j^rjKi%P6#?!=XFcDAIY5Ugs&hZ#F?w@7
z8Z9HArI37b60XycC=|zXm|)eAeBYCTtzw6Z61Y+UvydOZxCK^UCp>%AurGwaS*kbL
zp_{?>Y!%7JZ#QgZd^-iQJ$Yn9X>Csa)u9XD2b>&deegL_ykSPT*S*7IXKW&ZJj0zo
z76~3Wx4Wip@#zbkJvWw$Ubr`9;Ih?0M&q=4v$OEgy7<vgF#Yc9+Hk9GZ-6wQ^k=G&
zai8$KgqNxI>4aMEyuL=PW5V$SYS33I7fS0k7L!(IVh~`sJO5;&rUcT;u;w-yMvVNd
zI2Z1Zxh4hxzR_lR|94t2G5-fzu(JKvwD_N6_8(ew|3izdNMD9Qd!<x-o`?mr63c}O
za(Q?};Gi;rAYcK?k5^y;B<fO>dCn&TEtnwt*X~vw2Ixf^go4V-BKm>zkJV09)HIyH
zcfbevfNMQ`O|9MOYb1a3<0KWEs)!)2imJx2B%--w8iu2SJ9TGHv1VF|Xxyn{+OQ>|
z<Xjcsw+dx#@oSTI_d2?19a}7!Xq|PCE3TR%E~+ZF*vSYy<m_wj*T)^ExTgys>nN81
z|M7QkZ>8dP!p)3mJRD~#8<n*C;tySgWuXYGk~>1K`z>7i=-QDKAh;7kr(F;`eYA05
zcnGL42RSlrgid{t<Bg?3Q2IhRl*KciP}4t`NY)o(CXZt#q_UyC3<2?1REmH!!Us8-
zLgHT5QbzdBoSzJItDpnXa)1>GkH~6xkMM(ob{5TxrpT^?nsrdEz>&d^0KH=uvUnB*
z-4jS8tPEZV2L$kMu1I{E6tF}+=Al{*$^0a-uev0VukG*sir%6*E2{!ZY|_w;*%kPC
zxYptE?%K5`*|PbZ;DOB2-R@-%{=3E}8#a-KL!ssNRtyx?&k2Ti?K_hD1Y@TqAr94s
zAzOnmsikeYuDhCp$f86j9JNF^#i*AY2s2rd7l4qESh$u`^BAzc<@igXt%M1<8%~Mo
zK6wAZIV@`Q!=Mp_Jr(+<Vr)VH$ib3xN&bQ6XZXQQ3k#`7g??Jd=tsaSVvhHjE6P_P
zmO6}R>W(tA##&zA2&I_;2`4dM$2b$c4_*iO+eGI^o*tuoyWoRFfJAW8PL%E_RF||{
zwJ^-Jo~L?dMr_M3GZF48y6PPROPmE}>$?Q1<W{H8ebBuyy+Rbl0uqJdIMxN|y1&0q
zC^Y)?y~SIF+(<&-cQneFTv2herLBsmRY+QgHN5FF6{XH<&Fn@ZS?FNr4ZOx5!m3kI
zB`5rSEHsu*IUekk7BT}Bg`LwtB|moxmtxk35(`uk0`Ev&Zb@ysp^_}QEozY+i%`2t
zlH7Uc`4^5suC|MGu1fcvD5GK>WE6>_z}BV&>)f@JX^FH<VV*~KRH)>@j{INi9czD3
z702&3Yqhi{7YC}#9Cx3j_ja_oW}hN~9;>nk&?UEs(^zP^5`J2E!rhyP8%BV(k$+t@
zMYZ&ux5lia?3s<<IWD<PxI0yH_hibGj_%e>{WdrrVj$I`O}fdpZN{evS&-$xuN6*<
zVw1qV0X)EQ`m6M=lPxcYnjnuFVyOm}Q^=UrFG!=+4*PX#`-0j_T_XJl7O?*Z7I6N5
zUAbfbhXtSNP?^#%brBTf2|ko_1(Nf5VkouV&`x=zQYRVuWR&LF`n&lii7ya!Y@s?P
zvtd4uC%g$p$mZ`nQgk^TozSDF7qyzm{gF_9`urq%sF7z6oKZgMU*++iSRm+<e+nuh
zsFTDf<PSXq3o>SP_+}qCs3R@-<PUI7<H;1cKfjb!^fq@0F4sE|M6qZMth7Wf*|hT7
zq!d(CG_(35T~T~JKTldeLp{0tKfz7cSMP7}Y^S!rg%#ld+FdCL?IJm3zkYK?FTdDf
zUI@)2`?>>MzmYn;1r%sLf!m(?f*=g~%LswREf?C#Xtt$E*fm(x+s+S29b$OuNU^oc
z@usUBpyU&z)v2Aca#7EP>TbjNm^#vha&zZ%qre(cJm7Q=0<diF;$-5bZ^F=F?YHt4
zrZ;|BktdB~oFa3Nc1>j=2M7ve%&31t+H<1oQHF@F9>!o6AkY^9>ciXFlY!N*!QJMa
zrE-!nqV_>wu-p5RyP|a=u5QIaf;=W{aMTbBY0G0-N%B$AlqXPkw8WxG5B5yKNoa7m
zIES;20$Z!Jt;jtvb~MODTfev|s7(#F?Vr|n<5@@Xs@+kVy7L*dK$Wja_cd;@-(}y1
zkhNuVQyYi|Z?G|t2ohq^wVCHd&$EwNFQcDz9R^5QhhT=nhhuM3iAq@02VQ0d3~1R!
zmb6C+7!;V6^0GYUIc+WhK@o^I_qOR&sCTsHeyUC%-ymud)ASooLV-jcLEgvPcxG8C
zGZul;7O`zAd7HQ0$%I_VrEn01US^hX<~u6+d#?1bhBOpDbupc>;E59<9R;WU$g&8n
ztXdxa!}WGp*DWh~Q}jvxXh@Uhv6MtCWD0Q|`5^Mmb$5J~`vF*~d|&nwd6jh|QG)*B
zt!Q(UreLbA^NV2MF533J<A%V|nUc13N}va0>b7V5RqK1n8&^%FBRi;+vR&&HBe{I<
ze~U6!^n9C9O=0z)nl9ORO{Y~LcZ|{$q~{mtT<R`oHrsik4UpN1%o;K|vXzf`A!wWQ
z->o>l<jo{Fepr&ZP*>VcTG=%sg6gqjL;K4eWvh5!?kurqvW#$<az_2as=^s(QMMNM
zYEs||4cmpc@XOkxxZ%S3qm+%La$NirgM@L^5!E0%2UnHTjk~*P<*;?Go8fndzMrSf
z5F*F48*UvBE#w*C-6_(53KH(nLjT}XBAn%Vzoq&3=)AvHwv9ZeY?a{GC{<$4JXhOH
z8J|S!3^Q$csyW(I!q8Pk0Dq+Fu+F;Qx)Us19Q33Uqozut0UvVkMkeQKbfJHKd%f@n
z6#qc}J2IFV{~Z~O3=IE=8UKw+|3_?a!1jEqTWm;shgF0=-<g^xuwBo{@yOcP(`Vyb
z{7Pug7onA0SM&c)NPwG|j!MRVA;uvLN9cnLc-nHn=iE7?o`7+DtLd5I5vS+)czq_{
z676yr+4VcEo!H%Yznxmu^N6`ED$o1~Je&n(kMJe0G!x@TIJHX~l0)^p*+RermSgn(
zpjFqy+1WOG*>}$3fbnGs%a+}z@nL`VA(s<gU4+TpdjGk(Cb+dPAoP0WP5a~z>9q%=
zoMgYXKbU)r61b%0xA4q?jg(DPCW<CLW4AePQBAU(j-A%$8o|*Q4xyhCx8SRMuz_4}
zWJ4MWU#a4A8X3+G0EMcC^)Yr&W`*-I{G+WHpT#sn9}qMQQ#6b<p4CxGx`Zxi-BU%t
zfK9@WEQkr}7TERP;gi-EE;RJM2JOrv<rURM<m=!yeFP~%=P)lJ?#8RC7*rk<#YR}&
zsX!wsE2WVh_SNqrs?yT<1?$AH?_;wb5>bg15+K&+c+|5M4*@dCPLa_ZMUfU%7xnsb
z&;;nUZf$A9ESJt~BSlK`>FCVK#ynqsCd_g6t9yd>yJFcUG0y~vSC7@HPzuPp;}+B#
zF5CkMl!%=)2|3iz6#P~l>|<*3^UCWjIuV5mC)J=*+B{%LIM{kxNY^Xh$Z}dxsN4vS
zOIlTSEJ``xl`vi0ijR``t$|D#kC=|cmY#<ip4{i+1tvzHZ?qW|b4=A4SA3tf0^XaG
zk1BaniQt>ct>vy(u&i}1q;na<?EO`?%9N4G>BJfWo<MWy*O7g&DwJOe%tYr&&BWo1
zJaqCW1O+)o8A{^e<NS7W`5U=0&$kA!<P7wuxjbDRZPvCVDbH21){OEgZr|`T3~IUF
zFC~ZLro#2MPctiz<B4WCTSWn_OKn9Hy!q$=eg5f9!AjgFmx2SDqLd-dxLX%1$C4jb
z4%4Oc`qRombG~cwJy6jaGr28?kU*0yGt{b^!(QuGT{>Dd;pTZfSfMPMPezt&ey&Dd
zhw^t9_i;%z@TBzj)b*WpqZIqVpM4-oJ8P{IjgOCk^V_+cqyA;JpbbUtF>TeN)kPG-
zNn2@Wm#a)Zx5PgqCwlI!B6GZGETziLD1^18--7}?_Z_Q;jY5%-15SJiBFu(7B4P+!
zD@0#JTZ1u)5k~#EWgF|(uYJSL{crmpB&4wMVmv^?+ph@0#`7y_#m2)y^>YY+vnZI5
z0)5T#JVD*w2+*)Fe8j0jPPmDk%4@ezFK;&4SL8SLx?4#X)b`xkx*&**zpqxw0I3*f
z?~*_J&T%n0`GL2c;i+63%IqAc<XoQjTAQz#>;4yD5R(4^9&G;(4>nfz|6Y5j{G&Yx
z|L4BJa3h*i&Ikgm1fMO*zmV?cWN~#)Ivp5aFGEd)VOYxF8(D|Sea$kSk70oEavkgo
z(@%34mK9aQ#eC@T=qQ9}LztFJ5D24~w^+~rzV=>_$WKmLM@S*+8S|J#JOe}XThx^K
z*H4sbnq;8T2m=W!XEa+PJ$=E$)@8S@EV{Z-0f<n!KqVZNQdS~rc$OguP9<xHtX_Be
zH0SX+?PNq}TUN?*&*O%y`J>E>TjxrT?Ik>q%-GK2l?-02f>6S_mgll10{M+v?q1F#
z>O#XPB?pd@jaI3w=_qQla%VMVCsLi$?Q?(92a);l)CX)1y8qrJFrd-RZM~^_H{>k|
z)Tp`(vXAlj`Pk`Khyl@d^TW)S7l>XFs88W{i>^C~nsRa|(&S3CA4Am(zz?+_aw*%X
zqQ;e%F9;MtWVRg^VeUGKy#hbct#d<Tn^)9}#`;v1VlDu^%4XwMu)^*Z{v;3I>9gU5
zKc_Fnm>1Gh<f@z9_2^kYiMNSs42SC%HWdoX8IFfjpr~WgOZ1LKDXj$s6Bb_>W5x;j
zG;n`YU&G$0L7c2uqI=$Aozb{eN~1_6#Avkr9~3EyV9sG+g0ZXtG|rR+U@MVMC@S=E
z(=02~%I*pm`fHJOR~Kt<2D_2PqUPupKCXP_17g%E7s7o9q2>8?oVlpGgO&)E89PyC
ztQAlM+*_xvE!8%q&eplElID4gg})iXi-<H>{Pf>WdvmAeusf$|+=PuZ?^aFC%zLj~
z8>x4R9EErFAp6F!s@E6_k}jKtHs&nyUAwLrk;C8Lygli`2@(y?v{S_IHPW%#>a;&v
z;z?35q~n235Ly%>MN~8J{u;7=pw)i@QT{!_S^ho283`F#*%<!S(Pkp#U}0nY*XkcB
z{;!ablZAunzio9#H-W35>R`~pCM+yWBMQ5-FD&3Cz%%qAGIO}FOGtzf5^YDjq$(}o
z5lcwB2kZD8dhgzT0-A4h8&{@yxN{m``DXb9v}Ez%EveJMHGm;p_xJXX(80$l#xWo6
zK-${hIojJj83P1#!y-Z7?71Nn2w>eq`tk|@5pjQm1?ghhIO8Ub^RQu|72I5b?(Tp+
zz(hU&h_tr@cWrGE`$G=w6##L@;S53Njr>vw5$vDA6wpjdB*!%}zI^bQ+4TpWN}&P5
zM?xZc;a>n=h%w+8LIwjb3)HdckBKGM3c>~AVvvSf8-DDiNE^1*)yWcRZ`<15<`j&X
z$zo`W{td(3hj(BEGY7#Pyl-bf-FKS;d_gFFr(f-81O(jCf_Tc0$Hicc;f{z4>%qby
zK+~^qI*O`ZhK336!Go7qSOh)i03r;4Rr_WRz`I*@0OHBw0px#Df3hQieTXxSEg+wq
zfdzR9<*@--hk;_|<>yVDAM6jn0|{39K?dPw8OFX7vLg-wo7`jGiJub&1T~=pJ+1BQ
ze{*UN5XsTaWX&Lk?(#Z)mw4hf@+?WApPWI3bZ{7d)yTtxKx*^NY$smUPBw=QY~}Cx
zlUPG7O?<fHsMW~ncqxootJfuL=`+TXMfuyX8DInev9q_v<v{^`VFSI?H64HW2Go?I
zydjX!+CLg2^z6tnkOw>);~40NvA*3y4sK!{K|r+i>Gt>R0NlRV2ln=XH3VsNfzS<b
zpimD9Uc{N#KIFeV01jc0eQBSHemp=oySacbW?z*wG}w#1clkF0^{L__!?NP);TQEu
zfaAni9}mzDE{G2hydE$<5CTFjlz>D4&fe!PPX^(bzN-Tuu@bB~1X$#U=G9ToKlSP*
z6(S9wg^1qg?_55Jp9}-R03dNeu>-c79Hq|zn70Gs9{{BfyEFjxe1N?ubPYVb|64i$
z_6_hR7=s8o+e?g}e0lNE25wb1svGcQUk3a(yPO=zsqtMaKMwxX2D6}m6AFkzI;aA=
z2hz3_(xI^hBu(bJb?-)=00joI8qUP+%EJT%hh~2I`^0XVS_0mDIQXp|5HQ{xJ%2tW
zJj+O@E?!gap`kzo95}{Mf<G0dx<EjH>~lt4n?St3@{NEn$Wc!o(m*_HW-tukf{nj=
z6b<cwQcvs`bHgzDioX#KKpoD%Aj6@6+XMiFNI<E_{)n@MZ0&u3pje)je<l$&KoAHJ
z-B|A)N&Po}+-W`W**_ukm3|ySA2<NRr^x9C^k-FtMtA>iv~?e0n=j_d{%cei48l8r
zmhr^gAjOEtZJDTAU3CHV1{a3}Ik68e*aRK^*3%>N5)NLASo(N0&-CrD%Ygv<&Orvx
z<NG6chWG7uiB{9y30QTCb}sj$$Mt<QdQ>~(!Onb_?s*1&MQIXl$1J<=jsE8u<OT^V
zksAeQqh2TUp~VTJPP@P2Q`tG?I~yunV}7$HWm%A?I#d6>8vVxaItS=9+ju@%snCl7
z!M`&R{zrk_u6~T+xtt#Yg}AdJ`<<^T^t+p9koHs0O{=d=x_YN_Ob|>YN>oM8U-^z=
z_UXBj6TcgGM8WGP3>CpwRLq#+5^US@R=;vBxKD<qA;i@oBwMFJO{E=HM+S{(o7DoD
zKsVvJ(yxo&G+BlIqP+5)v}4X_U2DG%=_wv76YTdZb-&PkW_0aS=I(MTgk~{I=eGc0
z0qHE%9O5a9n<NM9{VJa~{Q%D|+*;9=NXJz6F;MT`@9??h`rETIVpQJ2H<{Pto}wE}
zkYga;GwN7c+Y-!+%5T`<pB?BgNN-7zh=bNcd6laWK3Zybk9{5=wb`|1*c2@Wl-(}B
znCGL>E9-5z)i};dWaB#znTqT(Ck#|ig=4ma9Ch;2iMMY%`Hm>?o+X8JY$HUPBCWCp
zD6k3Xh%rNAd)QV^>aL|CWV~`b`W%noc3V|S<L4Q3opO^a!l%FKpE#^r5ete8-C0{i
z@?Mm=f<kuYV5f6ymZ41K^?NqMsL37;bm<#?_`2C9P+3XoRWiI~u@oe~tXb3eWE=X&
zYAy%Z%=2PsHE&bBj|cCuM|5e0w?0nmRTI%bUFFt&%)Wmm3O`TFPE@tri1nCrP$(}b
zk;9*O%;*kV8D_wxlBQiV=B#k#h*C4-q4Vd!`TLO`NFAdtdgr%q5U3a5K<64NCOb6K
z#-zh%oTcKV&)VHAWJNGhKatv66bYVRWesSYQefXN7~}njO{=#YyVt)E?`HpAvlf<q
z8h--Pf`OZvnqWBnbR?FJJwZOuVP8NXJ(?;Pd^-?3h!1iu2cg<6QL;uPU+=ofp=>dA
zCTVc_7}QT86^WQpLx$HlAw-@uz%YlQJeP;uDV(w~!Qx>lw#+nI^+kOTGBQaLJ3cd(
z1cCVlK*iudEHXL3EQvupft2;^ZLE)VjTarU6>_t$j!1?O&&d>&vw>TBd)N!@x%2hl
zC#&v4!9bFPW&HC_y*NN7yBA7#Dc`^5uJfJ(K@fDD@Od*H@dqimcgNzDDRU3~FH0=q
z5uty2?wLflu>%*eL>^vYp%xEXdH4#11Qb^G8@j(v6tn5(Ge~H{MIlzHkFQkBg~sUo
zOh?zsdvI?+oZ(M*PZpB6sgk<rL{fi{RD!ZD>58D7v2ROm&86wjeAI{?9D<?`*0n2P
zF#$!iVi-TY2Mno~w_`yeWVCKUx^10^e&CQ(Vr^)xRa}+)S`Xx++bpgr!E*jz3u){K
z{8m`0?J^jvHig@(!JG?3-U&JuIYZ2uCS<%|4dm&fwe88Biu;;gY~%p-vXPvKlZ2Yp
zqvzc(3VVW=&-+Ox7=N|v<;4O5B(SCx;**37?&O{`XwPAc;{*!l%yF>r=Wz?1v#(#(
zDg%0Z<X&es6GfjCt0phAV|7EM>-ul1X~{1n7m{ipyo34=#)9ZXl1fuYge(Y#IN8wR
z-+kW8*r#dG>s|Pgr-A|gQZzf<m+>rAyqH=E*wI+%ddn<AE?-!oQnyeki##~;v|c1@
zGDv_Qt)f2J0kxjRt+@78W;&T~Dy(SDKV1%yLsAA}Jm%wZy<o+n0Re0;P?HL5aLrOV
zTJOXqP2Iq=CUz4`44H9FoZ%fU#MgE^fz6IqVM0%&rg)*hix&gtM2!lq9&K%RvlPX0
ztMp}a2j8DPHGlg>szS@})KRGK!S#itWY-}S+Rne)vc;@GZ6akr<@T`W@hV<c4^Gt>
ziRyk+wIG62V@{)p%&yu{XBLmHp-eP~|15M;l*zMi(_Odi885;R1V@*#+-tm5R++D{
zWWi4Fw!Hy^B}5rFM`I4zHkzbvC2m^8*uS$D|Jv!?)N*<2Z954b`wRhF#yULVzVXy0
zvqI5jRFK^v!kRR{_eS~S=lHO2!qm1ivhT5htO3TPF0@`H?a(Ak0j!<N(98y5gVif%
zO(AkBlN*2RR=hOXUbJCtOtbzrLdW~FlpP!s-5X*^sqa)kNv|2y1M;QwcX>~;(nq8i
zrr{kZ)M@jRPX?wUe(P>anWS>9&}j3nsO_R`jXnYY;&Yf&TF$zDMgsg?HlhOf5&OL*
zp)@_QuGKuTQ&aT(C>si9!bp6=hAak?ge7Uhq&28Wzw>$=%E$~CRP;<?xgMzYh^!-O
zGX{v?7JR$A*pYUaG=*x*XEDTq70Ki=b)H;<#5b$hoc~I*@~I&^`Ed>+rI%J_E>Q3E
zx$1qs_nF;)1lvq1S<xJXvw*Zi4L`)^>%)s-T@fo!3AD~`((7=%!Z|wZ&>IO@aS6i(
zl9e!_ih)Bdv_1UL6U$ODtz6FDvGUfUSFStndxVN*ucBg}i`a0V|H|FL{73iwyxS%&
zA*rp;kq^3rE+y63@VckA@}ly0b9+F78&^JT@{6QQQSfASO5$_f?LZE80L5)$VjE8`
zO{+T1(sq`UVN#OM`eSA|6>PZ4pLYJ-k|vO~_peIjM6w=kf4Ni=%Xh}|Z^Zbx-RekP
z0tS=!U)4$O^n93@9;cM%1!|u%;zz?<@hh7v=Pqr}=|=hM+2H{K9>m`pT{!WMXOr_<
z=moS!$*$Qx%oAGt7RplX*zNnYoeah`h)|uY5&Ns5x8Z4KbUF}kfzCOFct3dh5-{`f
zlW#c9DqWf<q#;N`a7S9zzqJjH_OihXSxVnUoFt$iF<;wHxR)U#HF6tZyvR|x`r(sX
zIVxB(LV_pt&^f@<#SBwWQhN{rKWPMzmpRd_;q<m{(E=;^fu=5$o4p*9ahvx-+1mWg
zp2De9+$<B#n`*j2>rI#!V=pj16E&oX4+U{=HEX!-bomWkIvS9;mb9{KA6ISJz0kBP
zxI)Ph_0Opau_FtT+N0xk|JsR3V~LdMi<TqRvl*+G7Ye{5s8q{Wqm{Hl7c)2`h3pL8
ziG@rF4mN2<u2nK|)0Ld+36k0VwxlqXzHM$-+WYeC<aZBWwu?vzD@9r`L)-fPMCb>R
zVJsp4X%@@Q7+jM34r6R=d<MUhD)*b_P#6Qc39|x0fkYNX7%3y2Z%il~mgW=P_0bh+
zpe<SYd!=DP?%SJwl(-gNg;hcm(<F8jP#hrox6;j>6>hstiqrh~NRT$-WFxc2z`m)p
zHPE(0`Wnu>3+=<?9_?ag5{0pqyzS>&Abk&f^DNOGHmUK7x-=m@bN{Hc&NdkV#)W=C
zoZ7L(p%Ey$xQm3zL)2?fNM<58?Giz|>|<d>euCDMCAnv`TE~gY#8Q@M1C9ddnkkaS
zn$ZJZtBb}1l8O%tjHbMvvx4Oh%kzt7<07ro{rj<BIcjIO1oFf_@&#2Y<{w8JOHfc^
zc7K6Hie%FZ%3NV~Bm%JF_SQ~Y?qAJlA{9)o=5<|%Y0j95v6v~shhL(Qvo_pg^aL};
z%lKDZt#c7f^(PcB0glk}5>LYT=sOfOFP*Gl`BL2rNZ<9;6|im#H+U5UecccGXp+>T
zVKdlYbUzOZm>Yonp06tVbIB<>uKlCfm*jMVeY}uNcrPx7k2J8KCSEkM<@)CYR|z*I
z8<!J8GjKmg1=^Gn?!P|S68rBI!Cum1K^`-{^Mg2C+`>ud!sbQZtQ_xKF+Qf(dLK;}
zc-!(DylU1;Ei76hyyszW^R@DIYsGJO+^al)5@Nv5DY@_kno8r5?N`n|f7#tKLLx)z
zJW3YOIAOOVr=W3Lp`QcOv(U>%$m(fURmn2z^pS38h7=#PL66ak8VxNPfH8S_aCbfm
zp=D`;3|kj5JzH-`1tewoAR*$F^U?NWlO&Ha<7Z9}Y&Wcqzl0-88hX#;0+Hmb)U_s8
z@9JX`s1?;v2gGH#Zso`y3AJ2qx03Ok-&QLT<hUT<hwKAq_tJe9rxOO&lGKpNrW?a!
zFo>|r33N?+DjkAFM(*Tm;#fzdGh?02R*HHz;!W6jWeH{u@Skp?Ws*OURBO*9<u;qq
zx7?l}P!dJ-T5*N#$8mA6qaAW=lZvT6EgR-Ryc_7&^wpVNUhAgAZ!g~6Q1g305K~<J
z4yEDrtvN0xvypl`s2u80ktQbLraGrgt}x^a2wRu{00ZP)Snm`6eyOGOSVGBv|M{73
z2KQ#rZG)Bx+?*hW7uo3&e_=>!H<_-rU{f&z#H@Q?KGvNPLwHGT*ODs3*EtPlfqNe0
zneH{A&X-Pg5^V-bo3nkz;{wJq^&YuSo1*lxtrDJcRjvqAiRGaVN)PXe-fGDVuERkH
z*0bUC{LFroP>o|UZns(s{CZ?KKm9h<?PZzvYt#}ZM~zbB$Sk2BUxJ~CVbg-%JtB&~
z+r2hameAmyRA-_$Y35mA?5z%3liV+1pFY=uRu6Z2;pcCqTGgm8WKp+fo?l?g7`Q=j
z;TZz(DMr|ul|4T5-Gcny-x|`CMIv2pchc9n$J7YC4%p~HDE;T_qJZ<CAr_$tSlbYx
zmhY5!Cchz}N?X3<qV-y@G3e(6lAMG<v7nhuAzc?Wc!Q+9WbCC|5;SHk2-CyD=)S}(
zB|o5)OJZ=40zVR=?qRT7e+2@gomSJZLB;9IVv-BQkWYAZYmTg_c7zBi>tr3}r|b_Y
z2A+A1*{{*t{)PX$?DQt?PLb>Njf$j;Q=wV^c?{*wEx*VUnLnE1lls>VY0q(?!OU-6
ziJ|PH{a%`^#N1LtQpjO>y$tB4?ZuhS{!*8A-FR22vNrqdyAi|B+4?TSc0=m-Ps-=i
zecNM-h4r+K#-N`-=*I6%EEI31nZP{GRd!JO&G!AkLExIO`=xB6&T4GD-EjTSiG97a
z!x_W)#pla-YG$|J@{uW4UtJ3--TKm*gckB^Om!mRUgeh*m42^9P0W*T4?VYds(3~^
z^rWnle{Rxt(;|=(SmvY2*rjX`D;mh^2^x!X$EXfZzernaR2w0=o(z)QQd%5@18Jdu
zY5#r>Cye9T(Q#$GqeYmwh{B<oEr`xsQUmHWh*sE(jPy9r-Ow*}y)b{(b>pnW{!$UO
z{quN@zDvONkg-GDVM3kdkz=!BlSROc@0HtOjn#-HO4U2*xgFNO()57)=rD~m(PL8z
zk=&{_;50<DpjK3|BurQ98?H>bmF-oGFQt_98CMg8K`CYUK`I~8QWPqpOC^v_@!$|?
zsh06L(6gwm)7bkNyaWN7DmsHbr_{;DU<1A(6*-07<(7~^D<naIE7@2Ub7@tR*^@Y-
z94k8L(H8+Sqs(qh<D&Y&*$Z#zowiR`Q#gn^EE3g7JTJ&iMSqQ6HRsH~nwOZ{{alL8
z&9$Da5cW;8Bc1q{+fD}KqF*-b&gL4Q`FLw=ll$!Yw2>5h22rWXcfX&n#H+BhS$FV+
zFfSUdML*I%Yj{H*Ex3F^x0|N64rM4ZtE~3o+>jIFN-BWy4*2MN1qE{aqqF(}ZL)c*
zP7alg4l=#UkzeR{?VNPXG|iNoYf>zP2pB{P?cEw<(DfWtf(0eO&eyFHNCX9<K8OiJ
zO7~ihFh9c~bt}jJFwLsuQTi6DUCYaFs?vbdUZFlbTLTo7g<$r=nr!i|E`mo5IZ=54
z0^K6v!)RXT1?v~_Y!n*&%=RjGTo=y_F~6>OVB7tSKstSdLI9#e4W}t}UrwZY`3_%D
zdDk4?xR8$o84_TiRQ~GNipNYeRJb(gRp%G?{P5_s4-za0ncKKQsP2SL;c9KJdN*+l
zA!$-{1((4n(r@iM&UungP1~tW^()_Hj;8u^Uo$;ntal2#&?mJ+xs%5u(f5YtxwhD-
zW~!#FExJt_(|1RY74g$W<x-*WGDi5rIThAdIN|%)G(ONZJoWWxap{|)t|wZ3QD2Br
zE%4L^^LKq6^<(+<!PxI4A;cr&2fW#m80GB=5-QrY&S+&`sUQ&bk9)lkK6{BD;8GP*
z%QKUX{Cyl$-(-5)-#C}%V`e?+TQ#z^ZFJRu;b9gfyK(5w?v$5vSoc0E>%2>*3HDm%
zNY{jlyd$cJZKb!#`|lvD=dp?@uf21QbU3a7N&fa6qQdJtoc=b>=$GonOaf&HlCIn-
zbcxynM8_^v>epK!#OJE;_=Qhz`AatEY{(AJac#Lwb&MmXpa^Zu*Y8fI@Fn+ewGc>0
z*FUF>vLO#WP`P|Jp&@obaCh2M{$^Yp7HB9?JB309qC|nWs6*BVWA7zOH&JnZzWS<=
z$n=)^8SSxgeh4uiSJ@*J`uMaN#`M5_(Q73fa>YrMA4_>hiMe6%=j`2aYL?YXu=THF
zkVE($uAD2ZAPnU1b|=<fxUbiYP0pMT-#9CKwDf$}T;#MOG+S6`c1g(&#F;-AOr+yT
zrPbsOrdS|8FOrRHeu63ob(kZsw0D*FPHpP+atIhe&36oM$G(Qr$e;3+_YR4R@Pccb
zN8c0W?K8QuM-STrP!WqG9w=ZOE6sm%W<meJMmN^o6(G*HRNuj+foUfdN7|vyCbz>g
zVttvE8(CPZ`!?3Cg2XMWSTPjiM2XNhjBRw*9UdC?{1HZj)>@Y?P~@5)`URKK!euc;
zk_lrc`&#bR9)~Tmue9)YP)ks`aq?AMN;p@05;;iMQCL&CdAKu0UhVQ6UX(N5?ORN#
zW)5r8e(>bdCAUXhp;!T<T=6N<05rNOu%X?~Y)~uBnh~FYE3QY5uTNCU21oppy<E*X
z-xftc295uISTOcTRb4)g>$^UMH2e<pDT8Qyt&6a%v+F(8TjNiTV`|3o%1@1&_e3q}
z<pxw!J(v6Z?e00GBc`l>1#4t+JsZ?W?rwEPxvRX#4wV*bcBK+J^nw~_xoS$5-%w*|
zjbL_1Sh?yq?9rM}R<9No1+<!q_d}j$5^@37Ltz=kiTa{HCnEOlLFP#S%HjU-<Dy`_
zcu``K{OLWV0*bmt*bv7zqVcgx2@)iRp`aMJu~GXCI(}(&=TLu>JJB|TPE7c=KDQSo
z-x$E+*pc%$SrVxu^YC7zQYN1fGfGz$PIuGvnPqA9^1b>;e#NGS0J6*ACDxE(q+Ea+
zlj^u;@Yl#v!2lfHN((Wf<BMhUIyGBNfv2|dx3O*_iQeTJo&Jfn85<mx-c&*3SzOXO
zbILZ0^1vpP`Bf1`poxiy4!SB#XrBrzvoU1BNWi{(ey-r<(DfKgS-ZYZJ6kVSLLOY3
zK6jPl{J4n9TY&*nZ|$n1^STVrIpbog8_oN#4Ink#3^g`KhqQ{&7nB*?l~F^SFphN}
zHdmEtqb~Z&ZE=d%7wo(mayi^VpNq9nb_0gBjEW~776bIV4RdwgGjukjRL5tg`Hvte
zbG9ebZqdne$jm&@<Q%AszbypV&UQC+9m-J<58tDdA{1u7WF_*>f0jW8Gl+1m)Ky_l
zJg1Zh*w03Xg!LYAac5Cojn&f6QHE_lfjG~=-)7~yb~AV!28V{qTdxb2ABAY$c(qOu
z;pJ$$sQnR7V-}wR-{w^KstM$ZT71!*ep#BABn;a7EWgnCs(T-_k6esCi@-NBp7W@e
zC}=TGpkL0IK}0b1y<}#kp+%`FEEQi?R&(L8Qy&Q?dMYFR%`pja7&jlEC;=0x$u7H9
zN&RMq=ktiWMe(?n4>Q44^;=!6RghTAX^)%nJage`VE{ZtU#RE2O<Ud6<{sJ~uBTD-
zx^w)_-pGAVa{qNwhcbveS)fR3$%wB1jAR@4Z0o7e_?H|d&)67+##!d-WRh1sV|q9t
znpEof!!Y4*$F^nyTA&=VxNz5U%-KRPGr><hy~kR&=F`#Nk2$lglDK@{&Fl~l<00M~
z-R=8fDH;|Rs6zh*%zl!I2s5Rxb{OeTM2WhoMp8TT=dUGXx^!~ZI3mCWtn5R;oZ}V9
z2z{yZsB=BtH9P&Ox#A;lVVL8`sgjGMg?s*Icd^qPvwhFQ!%`KD7wPvc@9%l>?6#}O
zo+rP_8XeK!;*U*wU`v)vEcB0mIG=<4NEs!3PVxq!3b>W^b58c0jf9$zE%(RUG>wb*
zi=YKa-LNGuuuz*dEPP%9c_-!VRBKc94|<NYVFS6@SYzK(fYfW<GSz}y<@3-pn>DBO
ze%WrvA(Z!hRuisAS41!y8K{AxcwxQ7yslr&KqwBY(cxFa(Y*2EVdDY*nvCl*pLTtu
z=NYAc;h~QTNx|Dnm=!fDt7mF%5mh>E;KE`@eBE2up)P~L8(g9oVo15Yd2#9jkl$I*
zOMfnrx5-s2w1y{f7PeaD@V(?)Z$n<H9$tu#F-SL;K0P)!Eosxt(`--U=qZk`gF@%9
zf^sA?K3Yye))Ozhq&8GUT_lSmEdMab<}u&p?2pyRL#1Fj+Ae^4)-SW}wMG{cWuPW~
z*gGMOErC%niNeM(nKd>Hi}d(>H)R=7kEUJJS|RNyc4^%Sel&&_e|}~*lzh?odgafB
z*%@CQL&2r2!y-SrYVWMFifZUi1GkMF^!_OZ>(a7^LW;Wy0w)nYaq$m{8=1~qxPMZ=
zosm&Hm|T`K46pvvz1_w=>JM>;Z|jV{)A6jW-#mQEmypB~6SXJ1*Fb;z9u{@Zgw%lE
z(Wpb44Q6Jg{2G23^&6d~y*2F6MNm|W0SyurVr{wLS8|Cx^8Hm4sP2MIRE}*U2~Qs>
zm`ww=>T(&j|9a<ZCZZEz_#=2d=J00Jv)Tz2qR!nUzaoNe(`}9?K8dIM0}Oq#x7}~q
z!z-trMF(p0XB4<Pa0aGn;XbXcB5dB}w9#FgtLs>SaB0WY{M@b=TZdCioKcjPTU?&6
z+h41;y-U!OM62#sYsSAf@!1XkEZ1YchTF+3+(unE+awyCzxI;b7nl{Uv=4XkL9TJp
z_q4P3F3FU$24|;;O<F^-xUX^PvL|Cvmcl12f%>GOYetm4EryI02||=CP|*K6{bj9n
z8cf0jrnJ&=Mgz+OmrdUrbu$Y!*PL6GrQ;~J_a1YEMXbzEoq9&rD`5S57s@X^NBQYR
zb7$UeTSbrO;7*N7ZcWeY(rL-NURV&eq*O&%wF&5+aRzMQsY{czHYJWjpQ=6sC27R9
zR=HC5B4tpd%issWubWpQWtgaWiC_vkp<J?(y5=Lo2W%kzq&E*3%~6^9WN=i@G?h)Z
zb`ks~?74L@iF3L+C|2RG{oBK`*0Q<^eDVQjJ$Mmm+{{Gp@XcT1TOe)2MJmBJ?d2fN
zT>j2hT^6le8}CGu8vn#~(Cy6A2l6h79p}`LVp!2V!5Na~Ts42?o<{%8>_&8zis<pf
zgAg`f&GKL8wDwq@P>K9jr4W3(^#aAl@<s^hId$-Qf@q|pSQy!YohImsC^uIni0?nk
ztEp=lzf*nVqONAn@~L_|ZA0fqSWu7Y<|cmN#NIScDUn%OXC{UvwD}RwLp$iWQ~cH8
zTx$=1s>T+lC``?HV3*3WXGGY|NUPYUi_{14GT0w)AzU+op!6JAu#tBPPQ-ZlWpywt
zyB|njZtNQ>7T|^^&=o1!p3T_mhfIz`@q=#Maf9EWSz%A}W)sMfYZW(`ZpR!RPPcYK
z7-;BUcePL+@2Kn~P9hU@X}^^2>7>Yuq#FFPu{cFlo-hCAI2bF*9a*WT-ZVL3TDC_|
zcR`xx78J<Yy?qQ;rN)Edtdh0dh$tYTqeLE&Q5QwsC4{tiDz(kI&Jr9OhR$br|DsTU
z03%k>E6c)$%Trs+(MFXc_BB_mD9hh0cE6^tI}XRP)hUYh#Yf|n;sX(ueJ8W`Z<=e3
zP#xBl&s?YVmWu(Wd^afmDVg9s0z15OgErLQ`#pQ?wocoRG(K$?B-E1&4N1~5AtZFR
z8W~hi%%9KeB;wj6>iG077temG%?!MPdoeHqGCcvZt#T{vFE(M%A83GIM~z?x)54l~
zQ1|q>0Y@U`m<9BaUU5F5Pp`!qCn`^#Xj&_A%Y?5a2Mxwf0W<a?XnJF(k+hbm)giR2
zhTMxGQzh74L8oX5sS$nWN5jKi5^f?LSX60D|KT148=6&)?AUvEU<n0w&Bm~|GvV!E
zmOuk({x^<X#JBJG$4}#&?>p$3fiTtjUi}kH*F~qF@&e*SbeGH+j))C4yt#N$nA%<8
z)TC$+d~(H9uOk<GF7jT7@MS$}J2Ut6hKU1*2Wvr*pfOzdd#{4jJbQ8{H~LQ`Evs?j
zrMxbg-pisQfxoi@S=<8A`aDzx&-{1U;E7Ak^~<45en-gh-ZoPKBcqWppJ&#)-NPh(
z2I!`!x&Y3qPxq-0IPQn_GFj5*0AZ#N-oVXO;o|(!f_a8tXeB|Mf`2<dMG#U>melnm
zasW%~t-;iuf(yHB@pVHt<O%q9G)ODU7bM&w$t)<xJG<>%E9>aDd>;?15Rq2~Buaz&
z->9*j0GaOax?m5!S*3&(>q`%!6?ICZOpBon@-zY4?{>Lb=#ff7-C_2dKqHP%A=>O4
zR0%6?thB`}6z{h<!K=uK;}en&D%@lqyzHmSO#=A$w3isQ&v<pt)kx$GJHBy`Gmv3=
zlH0OF>l>A043+w__bagrL~B_7B=f*CY;?)qc-45|+RwB~zCZ10zvzdxWo%7w?WUzm
zb<gP=DhfQBMv73|6S3S1=tWM|jDL&yQCheyN#+~{H~(YF(j^#UZaGZ*frY-|u^G9P
z<EtSX4meybiQ92SGgct$!cbRyF1Tz3N@AjK0{hKwz?IrlhXdwIVc(7Ks6yWrZygJg
znK5olhA_u2zMS4i=O_&V!cWn{TiY&KbOAh4!`uut!P^aQk<pl>W*X(nT17n-h*t%1
zSb-U(?2h2Ma9oU48P0kUUDYiuNT>F|U*TuZg$o9h{(4s8KG<_R&9$Pa%uJejpM`0T
zxmT>s=3*o}Q`38J(`6?s*-ypFuHA}*)1mUboFcmRhp%x>G`9w0n&p&Nj9AkSnN}5|
zjIz)x97#fp#9GDyZjGUCdH>W%A=#c(dT(_wZHfdvNI+zmc_$`F8-D4!m_m)Fu;LGA
z(~u-x0@|_jWVfqWI<%3;M<SA2Xu7#Pv&)9+i<%h8<m?)*0Ep=F*hoR;sQt*O??eE*
z3kQi}%s_^%ptv@ghhpZnP0HQp9O!M3*bY68**5t1KgY!VpX4fBS|>`2HjRzZ5&b=7
z;Cn4xcgMqE7D2o)k<*R7c;4nyhyg+VG!u6&0D{=24#IyhVEy|i;(rWSoE$9w@>wwv
zGO}=Tvi@uNe><=k*_fFAw-@pMZDWpZ1y{)0T%d#P=k3q#-`?KlZM)oqy}3c(!VB^y
zZ0iJbN3iQBZPRJ-F~5EM_FwL1Rh{~5;_vSGr}=?GT|Nhsxq$^rdL=OPGzBZe1Elyq
zJ0$}|My3WqMuzU;<fJNXj<dIG<l*F+SD09g7j~)-Q4k|Qa_XL*7XR3p-Gv85cxVJ_
zU<S_Me8=GYz`zKsk(Sm57@eDmha@yRva*DZGY1-53k;CEJ1TH{!H-EfL7%y`{5eGu
zFcpF`I5{~f`dq{#w1IJHV)@5Kc@&*R8_;r#B^zY}MCC@7B48d1fEFA!-@me%9UMD5
zIT<l9xg0V$wV)G_g>-0iX#w(q-~z_e4J--ZhXO^7vI+EOG!7t#EYs59`X*JcXLfdD
zb^-(00cT4g6Np>v422m(J%jR)hgXPC0j1ag74*lN{5BPUeCuQfGJ`k){Q2Dcj1@@9
z<Ij$kk-4(DjuyaAA#@H%FNQ<RqaYgHySkBqWB^J3F|;r_G<m(TKe95hG&cFNyE8u)
z1NvoX8Zgh@-+RuP&Y`uz&CST6x$z|!e;><mtBVeq9<i~$0U|gfcjv!EZgvjE;%VOr
zd8kir4cFid>iG>fMI%^Z<{!u4T5qlbs>#&`R6P8{=84e{AYq2&0$oc_OXFzQ1Qvh<
zn%f=<x{tl9z<=rEPoDA*+r@hGSl?U+o!XHE@}-#$xYfVYlM|~E2xu&XnH#;_jR1(<
zO-%tQOQV<vFwSiug8}59+!^Pt=)e5lVp48^@Je3SjUgDm@84$=cRoGRHv(;Vei#9d
zK3L7mXum~{EC5Dd1leI>+1!1RInloaW(Q`#41SEqICcqqez>C&;*WPtzb4hOP0S$o
zekwO!*}mn6Yy1&_mUkxw;ofdFpxthjVZao=nU6YTu4Kq={nG%s;@|SAfZksKk_mwA
z7{FZ+nU0OkzoPtS3E;mZ){?@8?~l`kP#yXB2{N|XT?>5XpJ@dI(9-hED=&_`2CPVN
z<8;#pF^p}U@Y^=IB-FV;W>9HzWomq}()y1t|Ew|LNFyqY&x}9BT7wG!{8#|euRU61
zE4S*Qi=Prd<sd!wGybKhkm+mbKlMg5SN}Ykh>MdTyuAwhiC+QHpS<d_fOh~mhk(Q&
z;<6t*VfM0f5c;NOkbYuOjtw9gpaDc5FpeOYqJUtIbf73?fS?Wy(8w%+Pz|VXf<Fwd
zuj~Wi0EnRi0O{B}%JKo}2#P8D6TH^G6Q4cJ{SJt)tN$jdZ~h)VjICkF_<>;p#S8=l
z-I}I<quh1VFiWrcKVA8kUF+Zij_>S@e(2wF<_>b7Zm;X^>RN$<eoXJ_8ow}n%*~(a
z-{ksF^zX8BuletMk+1-07ru{J*FTakcAq~+Z>b;M8lV14w>>Ynsmx;#7AIe^N$>XO
z`jO8B_ui^6x0fcbwQ`KT%AXjHC+_%i0G1Qo^C!RIFY>-mM$UCiPR*~$ecls(tR45%
z`Sk&$x7wW^jI%4VSNhObOuB#e`?d8WdACC$pLeK#0$?2^ql>xq$pUnl?m&L|-{s!I
z63*dSfb@15m=ECCsA6pS0c0^}qy6lI{8N17Nuo1$tk>%YkCCv*(mTkg9R}~!I6RA9
z4>w{smhJP=3NUI9Q@qmZRz!|l$ZySq-)0xRZSSO&(}ENKjt=ZXLhaq1tNwlI*2nEy
z2CX8}>gzNad&Jdgi%ae)*zSCm?(ip|(8q((T~pqv-H#LXpv%pVRr@T!QD73!vCra-
zl?Az$kq43v_S%nOdi``mXLWywmLSVP-#PuA(L5&Yok)6OxZ~WdlssIH6ACMilL>Ud
zezC^#H+9S~0(PZ9-Ew|oFToo|A4!o8S@#0_TRcQKWeR(8Rxz)nM{BkISng!I%S3>I
zbcb-m&d65te^GW$J;HTSgKXQjZQHhO+qP}nHlMa_+qUiQc{9mOCi$)=`|9jJu#>Y^
zRUvl<5=Rn=$z}_pWI5ATvnK2}EXkPk{HXPeO;e%zhkBoWVH?0nP93iIb&OqA?i%_Y
zj}iRnT3B8ENG!$Y;^D_44FC%IIJ28!IYQ@-x2WdH1gTUwojt(sU<p`0$GcG1P3X)i
zh!Ohe1*Q|lw@+_{%E)Z$DERIhznfos?xr*HsluW|<z_qQquFjNyaeqAaiHwRbScr(
zK{?WBjKDSvRX#G0coRMPk1A0;tpZ}722EnpvsE)-4o~t#93!=Eq|=3uN3EBTe!Zeq
zixas5^VZ<CLu1S?S1)fKu0y9py2}@xkHKRDg^30UeRkOY2T0jdQ;9q?#$7Mt(^YK`
zii#Pvs&EEB5p(f>ow;#SmPtd2`%?67W!?odlkuveI+C{9Mu{#cocM2J-qHEF6;r39
z5tq|wrQs*=9zs9qt!g7tUk-ho(uZI^bWP-!)(Jo4LBTLy9eKfcuKrSiR0@tsB!8Yz
z*Foe(UH+&m&B-?Oj$}UI9xhzqGSO#K?I5-OngP&%rMp06dq5qI;Qqy2!TMFvC)S%K
z&hW2nhg_-OTQi@51!9vA87B~xFyPk6oC6_~D+LTPP1fW)iT*pchmPb_+sfMziWg~|
z`CgIhbmd?0e+pH(zjCt<Oty`H46FVL%HH%pm6*+SOrKT<gH_!(6*;`tT1}uQIYFS8
z8=7hiFkHDjHu34)pnNPQ`!zx<!i2DPdZ&a!vkAA)L-K8>V>@|d&O)m8;B#c)mA@gM
zl+UhL9vo+)V1-eb`f)8{LN;KUJuyJ>)ytW8#A&%N0lZZ9Ro)qUf>wI+h+I>QG38Gn
zMVr}?AX!f~+M!b&oanaR1-ef8AcG@QLPRKo^~L^Zg3QdE>^5B5d*6(+nY+ryOKb9r
z)6n^zhTg5<dJMO<cz>l;b^sYuxX)rf!9X4`pn;bn?|90Z(v6Id^~~GP+VgzWgR%hy
zjZ7!*Dcu-TTn+t*c%c-QMS+=Q`fs6gvZKn*YxQguINRZ1Wi2E@$9?EvTfeQvHD5My
zCRKxcX<x4M<?26;0_z+`@E4h4y9_o6s`?`n{9}ifOsa8XogNPMx+HYxn{NPoTn8L6
zCP@v)w>yI5MisMG6O47!dY@Q@_jv<}|F{=sXtY(d#HmX^GLlD)5~28{QrK%F1=CDb
zxtg;Cbz<TM4=%47+Y-5v?WKz`{v6<#c+qXRgQ26z7#gL<_)Kz)HP6tk$*9BPh0e9l
z3AN^DBd>oaNy%C0jN`n?zXcRx*k>YDnLbB%*%Uj7SM+f*!z=~kc)4BM3%!gpE_FqS
zw3}g>*FB!V0@e5(E~K}uiANb!7tw5HXmT|advvnUC>D+FNVpE1h!Yv}D);;AIA8b7
z70f=E=zHjuU7kE7X3}SilPyoagj_zE9oUcLH+5Ipc!PG^pKYUsX6m~w02S<R2r2ED
zqIR6q==D5F0pkZ22I3*Q(u~10SZ{}IP`CPT5CjQ=R50VIz;)HSZHmeBc=NuMV+pU_
zbf>?;Q~WZS^-?Tv%XGh11&<p2`%P65P=azs;qi{F=`AAxO*RyFWtimg{O_h4bgRV-
z_}W3bnkHRlGIK4t;37|!X^yaqIr(h~6PB-?blWAtI+EF>IpGRAnOY*EvGzIjIM2~I
zHM%Tfod(Br+ac{6*3DP}(ap{hNYJDJIfB4gAZcLe)5p(lll1$_a(&cjt2Ke6!{EmI
z>in9vT%I7n%|V;0(ehaJ?{_$oc-@a7cDTQ&Zmpj<ZsIc>A`L>((<7fz8-_^fq7pGR
zc%j8-Tx1l_j}giVz?*beT!^j7Hnq74dL+MjhYGe6cvO-eCZH98aZ=Yr4Om2<d|=m0
zj&au116669&hMvyeA2UgMaFE#Xs%6?qHuyq?vy4>IPPPD@}HeM!std=7c!QWA$~(x
z-93u46@p5to*y^ZN$&vg-va3df87CCr{`t~9~(KBf$kXSUn2?YqflsXaFt%|2xbJP
zp+kd_)J+8@r`*?JMeH$#_cZP}z6#v|842ZHZj@LpWNLYC6Pr8y$*UGUJ}`8J(&;GA
zin`gZls!H?zUY_`t=jQ|jAl#8wb>EXMga_$MRY8qys7%BK1vay#t#Z=$NDV$?-aDX
zN<0K(VN+who#Y-P9%a-XxosZ}zI-PBs;-wugW<C2m>1h=bcKPQn*zOM9VRsp35Uft
zzMo4ItYk=`*O<G&&`K%}iet_G^r?s8h3F3##oGu3&F2=LaaF+@W+}a-<ZKzO*~e5O
zMUM#_duWrP13)}7V07xjb%zmh=r;En7QG4#Vw#wrAy$@!yR(=X^{C)5@7kUbugMcg
zhS=1~9)hUbdKti`0Ck)g7%^#%sS`|ejw76HJw=bYLO*%K%AyY)H3tv)FzQ^Mx3n8q
zb2G#Asz)0U?*mCN+*Y7eQZ(Z>5-sEaXU&65AO!R+Abpz}J6yv6lH81W_qL$)v?aZ^
z`59brRcmb|J^x(YZZDr321H;~{xySIQqiUZyQ{<T{3r#Cg)&In&zKE|*s0Ki&CpjH
z^UUK1t$??n**WJDzbu^Hx>_^hIb5R*${EW0r9lR`DzN5|uj7qv!%MLK?-e$_&H>$>
zBln@n@(UXzUL|?`>t!VGwQ9T)o1ppk=dIE}B`|TsTL>l?h2}JiREj6#KIe`~gbQ6t
z^!1b$p>>^<YxetY&E23|edkCvK%{t;c?fBJlse+*0Z;a}C>ecf?|iud<SITs`}u$3
zkFaQG<aaOypv9@e9IoijPplH7M3GV0VHNnkE$i197vy6KaybbUP0E+&dwIVo$Kq;u
zYl2KOlbe3!!#(4^MYuP^xL|UY?aHDNE{E+!5B<dnDlSadEMMLfm5~w<n=}xN()j|$
zydgoMGq5ewqsWH&HgTdyIJL93ye9V|iCgcr2LHWj9OyS=?PB<`Aphw`j2jEZKhRIK
z+V2xdbWe`;cp$SLS*2B{r_P0aLHlbf1p~Vc6$~q&IxgKq)ih_<u{1X4E}+S|;zTp&
zhP3*?=jB>(0{CuPq~9Y%72Tz^45i}P?~#%Atq%3&>-76{rYFH%=ZYnK3u~+q0M^vd
zvIG+Kc3sHm*L|fYE>|f_Pp`|*eP)|808EKj4{<CNXKS%u*s5N2m8`fvXKYKDgJ1+E
z5SW}kG9VgMD247_!99zWG4EAjp+NMSkYKT^(LYx+NBO-4`+OMXVNa}}o(<Gvp;jIT
zw86Ubh7@(%=1$mFwch%gNOu{^6F&+$H=+7+IZ2D(;PmtZ|FIKTEN;C|-THC-^fpY1
zu%kUjy=e#pkfNcIMm-KP1)9#^FWK>Ml5d+20ukC^ZG~rWQ<i2XEy!Q(uF6cCDvdvE
zxC<7s6|WZ%dbPcqtvciKF~vNWvn*!G!gzY6bb=w;VlGE|sQp1q!S)y;y5w4ihyLDQ
zb^g2=Y2=f&D*`g2&-xV7`b=73w03MUF~aa%^Pc5_<fJ8pN9Em_O5BD&SAk=5Cx#YJ
zif|OA*r*$og%6cUM3x8)zr>C;Gd;i(=iUo6dy~4e`Bx_Jz})FGV9mXBS0{x)pX0a8
zOK6DNt*6)LzumQ!xJa5&yA<4IDw8eB%dVr|c1+!XYH*ltis;p0=U@=d5@F9&+D&dV
zrd%ZCg1S_-b&MjD=7MDbdqnUhJ6<^!D2MQGdZ{RDv+av?#^Gqb>{_LWO}zM{Es(#{
z7?~`&UjOb8*eg<Jm&fV$mVh}K|Jk7a@F0QFmeoR)0?ySxM=n$`m^d47=C7ZX8!m1%
zVuXVA{yBWy1~r*MWBywfn*f~5Xm&AF<<8l==NW23`z@VEf+!wjJSiTSfwZ74Ku4=o
ze()UA)BudqgM&;#N~MA@y+>BwBQROP;Vm3s2X|&jW8X};-&(e;tdUrsgN8HkH=e^%
zl=Wfm7FaBlO>gq`p|BfK@6)`zogcjp4=bV`wa~*r#gP*EN!#P;noVG8Q4{K$-=XdW
zk5p!q{N2yB7|~F5dq+@aOEIaH+HgvIN@NeGp9O^f_wNd6--eicGN)n#-T;40Hq<>r
z|Jpr+5(;5EHtW#@O||f5lwQH;_K6fE&PTxzQ{137K{8SQ12M-&*p+ij08Dxv3P*9*
z_+N{<LHY^Eng^hmm-1UJ-49Dtid5z1vR!7ap>w3#(*@Q!|9KZ>sF*si403##1!?{_
zkT*ddaC%to(k6B8%t#_BKMN&Ny(J%^&*U+>CSLOD(35(gSub#c-dw9+lK|e5B3x=S
z#ahuG^s}m?&kKVQ_&BwtWZI1U1Co=l*wK|>nyj&9prKeOMB^8EjlGQW!Qh_x2sDAo
z8z^gRgrsJu?@#+t$Uy|+d2bp}-`qTP15=BFax%YVu2zrH(wuanlJKN^L(;<y6o$Ah
zTMzX?rsX=zGReEE_$G*qglH5|=pAeo?*R<bITX;55cGH&#PHgVVm+-nZaZ5Q64~p$
z#oj?jPO0b|BO#qbUw{-OOJ0h<Zp69~%ah@b!~_o>E#4+!B8~KiimQMn*&Pckvv^5m
z;p^d(&({2M&B`7^ZTvoen}i)Jp9sy0CtfMV3m7*Op0LUNJjRGOh8nx$33?yx(sfq6
z4thbG7?gY~jB;F)6r~j*Mt|NcdQH%e(7YShXYH91MI#h9Hr-G~({4T<ukQLB3DfiV
zs2p&&Ufv}Y+9qO6Wr)j)gCkVQiD`?~_@(XBKx)BeL#omy+1-eJbDBr}FX!J|jnZ8_
za(zkt{2{C5**Eg5SokLdpfuW8)G9*QhOBue_v>4HgsKi5p0!DwI_1^c1l_$E9~qqQ
zziVE+-eLMHucwW8kGCE2aVr<q{oGm4<*zgzC3Vl-D8ip=l@&07kpN;K$d_65a7qiA
zK&kYh89y({y!+ZIzqx{(1Q|+O-A9cU<+V~f2B8wlIb7fC8O1~kcqf0*m77yBHNR`C
znIqW&H*J^95O0}J&DDKwps8F@%EFd*faZw;^sCc3n6b=0eI3f5a2reo$}v?puaV8s
zG+Um$$OcYi#y%peA3cO0Jyrwn<$^s8;)_8$f=o!~y@qL>?~udkcT>0nS7tApFCf2U
z+M=`$C=|PU60&_`c-by{HM?0`L9u%cE`U067rH-#_7eUjB1-S6DLp{lb2gW4uny{*
za|b$|Nh>m(_QIEm#nQz-ci*<VD&x;@6EM}Oha<$m^*imn^>b8Zp^Q0EgsT7%!!!Aa
zvF8&<m-FSVTCtN*;##z=<ZUizQabwvD)9B~CP<Ef{7+TWsTh_Cx1DKmBy7}Rmsb9E
z@dHj6P*e{ADdp1c7HwaXbZW}<TQ<x4hgO1XvgkLIEivWn>sV*&rKqwSkILoKOb-6@
zd>Wi_quWlah6imhw<Fj<?9Ody-~N}d8Xm$y4Gn1inmLSR{eymP<LQSCKPHyWadBEa
zv8d(B|GWqm97~*JdCK!wVOzkiMj{d68FwA_o}}g|F`<{nFGpJg5%bD|$9Z!B`P`Gg
z9b&{NGM{)9)0AYfkRrj?p*qII6}qRMxT)X3tWpIZ0aq#Gd3ttPM(z8MhdQeY00tWR
zQoGg}k1sYo*29%L4J)qyY!&q1ID^OljSoaW#?&f<8Z{wqth~?W_Hnq8+RsmrSliv^
zF07yQPmjd97#-<ekUW<ze0(jk;_<F#PEwWe@hms_VY2sn8zHTl&R<3wQ>9E}{AYB!
zC+F`nof3dIS4>MQbM?N6c2P-5WE`P#6yVYH%B2Gjo%sHxsX;m?;dn-d`kfk^IQk{x
zV|02tY*N4aH=U-fc1to)Q%q%rt@~yBcovCj)2*WLQ%ZhtOy65aw|iH`hlrV}h9Y-(
zi$*tqq5UCTZd;*71{j%XzAJzwwi@wwSC_(~xq_ztxkm~8;$enc=R(z0t(HS9s$N@l
zEVH*pCN%>O$TUb!ZY6j1g7ZVtD7#8_fO2gD%aF%NO{@*d`i`D5g@5vmCu%!H(*ska
z!ozQdq~;A6na&DD)VK>Q$4qYve~=OaQd{xCLJ#SFygCH7jnos{_iFdgD7!LddfqLs
zs>!0{Umz)tjT_bot{5I12!k+Rr^8!<LP|>Ubt@#2G~YC}HJ2biRC&sdBe}<Sg16JV
ze>z7Zfc&@6+kN4%v)ji9JnZrXoLHiB%CVaQuJ_;2yE#=eJl1nZGTS&pqdrn))MK(X
zhCjD1iJg0Dc!&Y&dtBXzdy2?G<qvZ{`l#-$7PM10!0U^rtz2+!kL(LDXs7O}cvkQ?
z1>{bg3p7eeie;)vVn++~1n+{nvg09}vdB(QHBY&aG}5^SIFua(19c|PwM?s5>XI#5
zHWu_e0FJF04YH9edR;ZF^sWlO;zhNf>;h6)z>bgJ1>#^6YUU6_xoDrA)g3|$Vj;gU
z05-43xedMMhPm@TR(iI)zFtfFI;>FxsTVBsmUlrA!HRQNF(nHUR@iVLNr=J<8lSTS
z(Is**7=G0bG|y9P88(kE24WiBc}ar#!(f)}JjsLBus^T4s@4NeFRuMs$|O@Th88{S
zTWyo#N01f|eKr*7y+$qN<y=hH*Dwx^GwOh0tl82^RBKtOISkPb@Q5KqA!X&(BwS>V
zC<TBXns5TMOIYcomIw9Ku<zRuzQFh7;usg{TzQ_JUB5mEO>_9jUX9OwOK*{S+6%AC
zp)ja_aV{RYui$CtpC#pkCYiMR4L6w~>Mv^9!~|69-xF{Y`*VeJIqK81LD_xaku`~!
z>zm69^=w9rHGM8kB0I;ns_(c-)8|}!JI(vQGntcpuiTb=A1mH0p7(@6>gph}e{ILv
zEe_>Sw$?;c*V~0}g1mbJ#Z%4_pJ<=Wz1jFxcrEpJm)Pl+F#SUHN-GNqfW7U4>bv+#
z#v*=_+mH+5>I7~zmrIW{htyD|{Z29`sBEcdBg`f+@b`h`Z9oCe9+z>OI)yPkB4!g!
z2a7S_<BLZ$b=D}A*Oa2M>d@)ZN?<R>ul2k}zWG_0$o%G-SxHKV*8^3AJS&?k7=`u8
z7=ozj@%qbC7-*5}v!ueHOI;>}XUcXPd#^j;4fA_M+niY3AE)XJBArafrdl?4Y`8K2
zW*-(G(c^GwTa1o6GtkGJmqUd`?lbi!4bD-R2nz*J7V2s(>U2u)HOfey<reDiMTO&v
zvj$x4s-e^(J`EXO6gBbMv91Ks3O!_-!_v3iY^?~3qYy3iLR&SA7B#_Ny2D&NY0GNH
zsfyYcU3+0*xs3jVx5<5`WRX=-qOmg{KxHBLYT1Cxf?8@@1jk$O*Hilm_E)(_6|(PV
zIav9V)Y>rSn`G2E;(nTxVv<rpA&YXf8_Tzt2S%lPB|4b)+=@9EE2|PzUk=YlAz6NI
z_-xR9e9@okczx^W@zirIr9!jP@noN~b&wD`#kB!>D`wVwY*K?hlwho5-=Bl<#j*b7
zDx9|zsQ}G9G7TozSjvUQXS3upnaiP7!vG)Om|6oSP?u0bVe^xmBV*gZbu&ZavC(xA
z^{Glj)i@3G9E8%fYHTSnHuRn6K(=|$uArGD=RbWXVdGo$^~Da;L0E@-7N*#We4jWL
zu&w1?;t)IeF<LvSvj#<lUQ+4fXV{WfX7f+#Khrg|r-(`4pc;F5o*yqnEvZNl@V1q)
z43M2~;DQ0q(DGc{14RYN?g{JL<1h9PE&IT@OlokU5*3a3V=wykly1}6a(?zU)IrZ*
zCsuMDH#ATm6rJ-x{MSq1U&3${0_?os?Nem^p+^2A-xIKHkCC9`g@LWvY>Val-G1si
zN*X}{bFHig4PlUmwQ_5_w$neHN<{%r>62y{X2^pDH5{5jtv{Ah<Y!4!FR*60IjV*|
zZPc?jD5pmVrTafIq8aS)Yd3WSX+%o!NN;7q+(lM?9b!%Ev@$&ymHvAFkZ}o57wb16
zlgZ!!Ui+!iF-t0~S17@1<_5QQT{45PRwYzCkE~`-rEed^{m*hchIeFjvN3H;6vx^A
zXpxUC{eOaaaVS1{Vng&%IClnr|KaQx&NZuy>CPAiPM(+`a%pGIM3qLk&c{qkR>f;0
z)LA_7VfH0%-7%!NXzNQY9U8o$B)Ed<*I%F&oceeg<qqg@OQdpYZ$GasAz_|+SY7S=
z$oY2RGJr@T`b2@^I#UtPuH2wnlHi(|(h)?0ch)wyWB{ycvu5*U;o_pRlm^Mta#Hj<
z4t+sEj~Vvh4Fp-OIVsQ>EO&BWZ%U~a;|`|7Yft*37?sV<0HQ@Q&+|FR`x#TSu;&xc
zc5ah-zCt0k5#RbCK-obL&tX-mv6qP@E;HCO>VfY>ompn1^}@DR!ltt+@)K}mk|4Kb
z`;eCJZ>DZlc~B@t@hcX{!bLK2<>o?WB_GvtYN7RK{&2iLK%gy9yb%Y(KHl;|smOEQ
z#m7W)qp-Uc%D5rH&_)NP5%L2J%?UUaYF>2`!Xcf&V|@?PLm*IQlEPnv8Qas4=9DPu
zPoxf&ASjHaEm6NJ)>9`(K-Ypm+i^cA8C^G|^g5MI81C--N)$`Mh19<Za;z?0fOOV+
zsB!om{q%Eo-vyT<1dqgx%p3?9Lo#~44(2(6$x7)vZP%CUl!r&_I%C<t^UAURgP@Cm
zj9hsjC5LM98=&V{yA@5!=_q^&syarfAl9QBKJXKRmF@4vIz?+^{F&y#cXM2Mo?>mQ
z1aSJMa_X3Fzg9%OA?!5PjNo=u@0Xzy%A_2;X3sZ+^b88+y0a(lNZ2SL4auoTo0ut#
z^VO6EX>C!p=Dz^TqC1~`ncR7*|0$`Awg&qbF0`eR+Jyx!r-r62O+IQ)dEFk31FQ**
zu2z3Umk~Lo(Fuj$)9nAU4t8(f-Kb8(T%fvxox-x%9q}<5&WS=mVnb`A>i)n-y4BN{
zyM@Dh2S?n1B;1I|s*11JSTnof7XW4V9_3D69eQ#oM+WgZi#B6{#=l(HG{^rR8f%T^
zy3~O<Ue^0C_ygyADHyh=5~{_WB2yj1ilPyI>4LYko)7De{)X$fzGL&FqWi{Vs3CLq
zCo^Q*Z+32T9<so1QwfMi>%^-OP2!XV3n5ohP?pY8KHV+k<JWo?gT<iLLDwo?8t3ci
z97=!1M#MG45+1fkZtmOOIzIdJ*mCu0$Yzj2jdVoW8DqAH#a`}+tKP8((fy=!Tk#9A
zni?O8n>^oyb#_|)%3M+X{@W`FJxfzxStL_6{xce6pbk3r*H)4Z`uN<aM1%f}1*JZE
z0&4xOl&bG2U0pRb(tZIK^r=MS>+8uVJ<R|}){M*8Zk174v-!D3>rx#Q3BO>sr$;>y
z_a=RWR&(9BwBf7oAx^*lMemX>zeShmXKdZ00J~sc<g}>CG(2}1Q5rAX(0uc3Y;^3r
z@~ei#GSip$L${x7kj{UZS;jyL*AZYb6Cv~93rWxCXST=)V~|;&IEJ@^wED%PZhi6J
zQ0j^yc>|YA36hPQYiE+G*HnWAcj7i3Rj+<{l@W582_e<u+aV!Dp{24&^77U7(Z+er
zIP$O|?3dR5Aogjk;mF79I=<m<*F!E?hRc|~LM_BR_g-d#gB^uvaa)^?!6#%M!iINP
ze|h^I3hb;%QAAgISO_%TZ^QcVgTO}6G=C9|j)EQTHb00t%fEqU^PHX^;EobJn?`Pw
zgl#Vnh1qjuxaM2eW&1_7McABzyz9U^?B3}TD}9;cNG+BVLnDaC-ZkcqDn7F<i%aPy
z2C*`=142L)j_#^T9WWoUadyTA<0X6f)R2qe!>e@p2s*&XR(+36@`vhPhm`X$?KTNU
zylmmS@GuD=ROFHxuwpd9fes)r6hmHLkw*?-iA}H*ZPVONOFPHT4m&5yI^798#wwkZ
zRGw9cYo5?<*zreIxDs@FRuNTSHbBq!JczG!w~%{7&Jq9W-i`*M4x!*HD0oHeT@#nL
z?EY$|e$=mtJ~W73ogeqj&vP`l(f_QzsUfevxkRvYzr1!Kep=cs1Dss=<My@E8^2R+
zm(Sh^Y$G|WE{uqCK}c=bAbMMtlT{3y&>AsSD7!J@bM#i#*2tqU;^O_X?96j;YuPty
zS>y{^1Kd(bf;*a4zf@SBxV-T^du1Ae!TpKaPiGt&P;6H=zVz7(?{^V5;TlKy=O~vZ
z5G;#fHn$edX6hP17^8=x4q8CJcxBSeh@HmkEg2sL-1TZrr(`!tn0n13a@D~N_d1>@
zw5G-l$KX9d3Ke%&iI>b>OYF97gL6&&Q1>;xuOg-@^;%nhi>SSu_KThX(??2JtN<va
zLh{B8`fwySQz<WW+3{#A3FB_L^Qmtlc~@uE)+h-fy#d9=blf8w;}re$!W|FZOf_aM
z2$tQOpvD2WqE=s<U7FZDu8o$9L1gCGLQ_HrrdP=mzHt3UlpHtY5|z}9FAD40HZRW3
zqXJQF8t+La6&$76VrI82qx*-(bX;1>qzR4sB7>Eoqi4^4^jaLluc;_R2R)w!PRWXL
z-b}v#YvV&XsQEYARu<YgUVQ)eSbafqCDn8UPQYM%VFPFdCE!|U7Td6p5S$?@(tuaS
zg2A&~bKlo)_YLAgvYzOYFix%nL@N$@Ykj`l300!w657%;VGy8#ywGZ<pX1l)^mEqS
z{)1M@5EZP9FY&T2JTlF-7?k~iQTL1PK+%xpEa6t%;3>lpFO1VAs|{WWded~vS5o?;
z&}mG144DRl&ANgNwK+NU2V;&y(yWeRh!o~={7eHx&YJ=>x(BH0i1<xatgf3jNm;$N
zHw}Ikl-5C3PycjL4yJMnA=tB6Hu(ixh=c<K4pxn^7X8f)L0!eGn)DW)%X|2;a>*;&
zFGhL7-RG0m$RP&D!VEkrY%PqXKD}5?E%e_u>^Ge{=!!D3h()UD@@oj{P`PQ^Qd{IY
zD%rzF96k23ko^uRz4<ML+!x6Z9AW_^a~H=y%HI_xBlP>=r?|O{7miqwO-r0sud^D1
zfiQYjIvE_FTa-!Aw1w)G^{33VK{KJi68m6WAKd~ZmXb3N1Lg4~Mbcz(15cBh-G%`o
z=xDE}fAGI(N!)w9t^vvsuRNYBpvhbY6RA38L|z(+ryWlJI?fkpVwN<h4f75FMrB=J
zb*{&7T+^_ewVzgOs1&nbj_wINBs+C_ZrUWb35cI)K7);kplv;^4W&e1V8sl4tiKP$
zR;<mN*U*p#UpC3-j}}{l8%DKdaCc>Z(AdzLzP#`eqr&)Hlzt+eyAb|4j^!H3N}sg<
zu>S5qX`T)Ongp(%6`zW{7Eak*NKl=W70cJfqxVwMjGsGIct?X<wv7EQh|xKnka_!N
zUXH{;($A;@tW)h9H+N@MAUK8vM~`z^1-WeK#rMV=&mQ@q##V&4=u{KCaI=(S(TWN9
z5)yHeUI#}((tCC;i33i)v^z}GTJjX>Uo-clUhTSdMnSD3Xzw)<KfpL2Xcy7MkpDMV
zkzFgwzUbiGcvR+Ci+|h4em#yo7Q@{Tm_bW^As~z=qmx#ZQrTQh>i)HJ{qs}@`%%-N
zl{>C63pb#84*DG_49qsa7|vW?`0q#WP>udc1>c*w>9A`CtWcPMccG7<a)VNRv!hb{
z<8%)Ag^w;La~GG)Xn;u${xJri*U*FTV2Al4%i>O^K@FbG#g3vELCxV-zXolXKt5wK
zO4(-59FTZATu_T+j0ptherS5-92Zv=;6{MyRQC@haw{5~VzfSkcKAt9UbW%1QB>vB
z6?=D;zl}VZPY*Cf?j+!y4Dr&Z`1auRc_pu)=$r~(kgE96)Xi0SkIsOkRud{}yeS5z
zS8qe-0X?byi4?YQBC}r(0gn$~^|sd#rD%$*3RQXi$x4N7PZhw#>|1$ycy)HRcTd)N
z>(S<jjF}+s=Dvf~;@~`*JqixTFI^InDH%3K3tIg~6)M27+}Qy>%A{u0Rv@P1sqX}P
z96y<JnVX}_tWsErxr)DMPDH~F{oYUrZeW@w<EfoChm@>Zehx79P2Qi+i>Z^N9<nbo
zaIWPXO+b@nsQ9y;4mTtxLa|zZQ%<g<79s6X@?pZ->G64>a<vm){Y?cisG#B}^v&(#
zky;yEbcuG9%7bKTW!@!UR4&P6F#z=<!nUp?X%Jws<}>afTkX~eaMKv+R(*mJ#G{G~
z9iyy?PyNzNd{W_jQn_7O_Y6l-moOBt8xI0qjKPzf47`+ko5hX(;wR8@jb_@H66YGO
zufzKj?;XVm(2h~CCuGjR)qAh~rU@*ni7lufIM##Hsi6jqatk>&Uz5!YS%Yh)K2)8#
z)wBKhh^;B<ac6dVNNOrW?iZ}b0<k4^1WdAQGAl8Hivgow;B(v#v@P~TUe6MIN7~|v
zdXUZEV(1etM<H{V*xIn*Qt!(rAu-i49v2e4>RZ*9(s<+@VHe3sEKXs6ft#mp-x6lc
zKLv@4!0oW`ko)0sedU<f&qJAB=GOedM4D+`$g*o|nGLJoi$f0h(Frh7***J_1G8hk
z<B`C4LxfWy+_igkFtc3JS7Y~9G+Yj9=J14)^=|p2KF!WLZp-8jyk<sXi*!5E-j}bM
zDYk>!M|K*e+rg@OWyZAFNF+}AIFh@Z7wz1J1`Uwe>qoYy9yDk3wy?JGjC1m|0N1{D
zm=m|xJ|b`4zkRJ@MDFZGg|~`D5$(gOV+KU9v>x9{G0Xmtj73<=TWQnhVfH^*^dwzX
zftoJ5oWIJ>z~qNd94YjXcSb=8mYCNn(ExBVx8}6*GBuZv8LJr=>=us90U|8(w7T&|
zsdqp%l*RA_<AmbQ;VUM27?n9%+`>fxtTvLF(1&b<0SpI<5l`!_>Xkl@X~lXDG$*vp
z3G$(V+zDv+_Zu_fw4T~lhp<Y|AUv7BO=FPq@69&UA@8c}c8G1N68TM0<u-N`(5ZBs
zC|Lq%y#OUntL}o4p^J)g1J4CMBjI;jglrt}k-V_w647@46H#s;q0_5NQ%SI)<h-Z&
za`@IKN5+j*@dsLdPTO2XrxY?~ofPGu9eL?i@yD*J#;XhlcC<;_sDvhn&&UH}jwsK<
z&aC#6&HHDHX3LZsOXo@+NvreSWgTml2<>KCp|oxoK%*u%G{B_mhu!xCvD*2iYM;LG
zXK=UGVKO13r06b<g1)zzLK1`Ux6%G>H&Zm9J^;}gnchbwV0f_~E<sC(HWkkzH4EB4
z6mn7|h9#L0c>=JF=@Ek9=J1p^#s+`V^nz}ll|_&{e`+O5@+df%7E+^B_xcXfm%F-P
z%4W{W*JW2@_KL-LK5D^nvA*BRe~I~AUBiMoDFa`RhUcJ}_njMF3yds0@2xuk*gWhc
zwbyV0>x%+|)8NWWW+j5Q*8XeafUZJLT693%egF9$IINGOA(vza`}o2E2&*{^)NedJ
z+baerpt-yl{^O(P2Y<4jHPJnhHc3kGkm=t^p23N<R!+6#Zrf=iv9+XJuhPun*qzBL
z+IUb?htuz&z<bd?n(tfI1T8NVDWA;W>|d5F7S+Jxk#RXBdGQcXoKdH@eB8xe(isTR
zLs8Az15Dt%MI(jlrkNaJvis@YVT2JI8bsf5Dt4!?dPalNYQ>a%rD!i42&5LtFPY}i
zUrG!%TWYu*QTE=+Q&DA#S0MjJCDx5yPRQ_Xbybm=RU>kaBBbX$8Ti9#yMMYur4n)c
z%$lzDY30l4gp+|#m<KfoU0fTckX>b$%e@g<$7iYfn!&oic)#-Y>Rsn*`M1tn!Cw_m
zfwW=63VUlijQ+T?B<JmZ@R*;ZIkK49mhxcdU>X%y1nWjwGmuFI3?fR$iUB%dWa%DQ
zm?|p-9&M(KnLkQPQF7~fc$$&XzLl1ou3~Iw0DQ}4oK^)8)QH=-MRrDa9Ai&EDVo9u
zP|W>b79D8(*`PV(mklLu)K}+CTdeo|%H3%R#J523vW-HJ`o>Y<@X-D&Ly1bNJhR!(
zNN>~l4x^t(Aa=v6>#uWBxw+V%a$n+6#AYtwyz7TTT&o$KXy=8DOzqs%-dPq!GA&EY
zQM{5~)HQKJpbQNS*Obq3`1Rx^^E>aT_Hc&9<h|fM+Wkt=@WUc6BkEcngUFKiE0mw(
z<aJo#Erz$RNmyUXWwX>J-}_>P;Tkr*tr{562OQ5|QS;w*crp)_3dW^g)5xtV*_kF;
z8JA;PLO_D`8k<xbEed(6qANa0DRs!mwQhuq?OhZp+N%8>^aJc`MwF_cIVv{c;4v(E
z{x&}agc>0B5^hGs0?jlYsU^s;V`(5l=Bm{TIjqy<)m=Pw#OgO%%1&Q2{5?cMNqElB
z&!Wkk3YzDK2F*hbI%+duZctaia?N?2z@KQE5ww7!O*;CI3!y~@x<%8@?&R5l89jeg
zfNGTDHpmXu|HWtXejprYJJz+B`B<eQ)ohOnOA6o=Wan_nObKH<;_hJSanGdwp?YBm
z+ZB|U=71eUV&IXb{<Dv=<_HM3pI<FKezL&L<TQ~AqgjbCW>0Qi`S?^qIJ&6b2IoIZ
zo6=qSwfN8F-Omu`1t2-9VN=I}HhvBjj7NOK#<_7oo^wF<y)i1K_<-mODe)kEiF}Ym
z02@!pEJQcT%iMog44ig~aS$vea*)MkKMQ?ek4ZBpwWfW%zn4K(AS4y*{lrg(Yh-F=
zi-1XlyRvYZ<lt6h;!LNpx8W={$qkAni|cKMJDMk$;B~}LHRbb=x}U(pP|*!2E>p~d
z+q_3Q>4lmczKeT1{>yW>R|v=E1uC0au1slOA4ZWAf=6`}r|-wiV_`Sf+r3wW-f9ys
zK<`?&zCETHrRiGbG)zZtq%>4cCjQ|K{DV46O~YMoBWoypVlV<kA~4rC!(Ant{8afZ
zMLI=J_*RkI2V^H5Ae)mz<EE`IBx4JytLzXg$6|K+!r4pwSl|Uun<6}M1cCsNpQdo)
zB>(k6M+dh`<C>WLq^?lQ3vl>-LVRmEVgCGbp~>*_6wzXHiHZSG7F4Be0Y&~hPev=r
z+f?HUsrw?Pp=$h?_haMtUaT>zu$#QB(rkYL(g8yBpt{P!p4cElbb9Ces7etfCI_nq
z4TP9|k-1TGp2Kxo(52|Qp}L?VwQSjZC93`-AYBSRh3l;s9U=zQn^jn8Hn=>Oscjj^
z&3WXVQzUNA3&~Y8iq=#W;`ECre?Km9!o?FA&g#{_R~%tKiKyu0`C_-_#!|F>i@~7X
zmiDVN#aj;^s5KX=aWJEJ`(o`CA2`V3{#K8wjcYh3pDD6qxzpTX;PI8U0r(!k1TgG_
z<+hrd9UE(k3S40Br|*zV!<m?+;;&7ipAk{v*btF!sX^-&!J=`SU25rfwjsn2?Us(s
z|NdmJ-2UcH3GV=m7;cC`&91IdZjeb3WL4mf%*aD49!O3_)Q<xE{6NISp`L(1ON&ha
zlB~m#e3z^4&s^Cn=}n{uRAPjZ1^-WNpIZskmYF7TwN>LjqQOhJxK<yeQoqgg>KY)3
zm~}`Cp$D%<-@Y{KE(09@64pcig=GKC1S)Lr(C_i=>br>aL^BvT`@vktZ~=KkW^}^C
zly~`T_K@i+e2AeRr3H?Pw`Sm-v(Svp{M<fZKg%Y4-mBTNBPPq}j<VSs@{*cW_we%W
z)Z1nORdtBpSXeH!3~_wu2gmtt!Fwb_x(X(~3A1MQx$~H7_=)(t#3ZScya$>6sl6Jy
zqoTmV?Twa}#cAVLrmI=W|E>!fY~}j>(Q{$t?I6DR5edw-wwA`WU)i*ONQ&q${{EkX
zM1ceM?{9qL<%&<WOPFJq2nh()C97ZVf}A=vZ;oJ$kILii5W=pG1(MWloqkn*eoOni
z^o0~zk?qYIYla_e!y%HhM@o2!<^|SA*m(Eu0bFR6(C1Kpt86%Nc?Ip!uuvnoSpFPV
z@a3R_fgK3S{XNA-1VQov#iK0%4I~`q0M&5gwsxlR_6WK@kisbMV*)XvoPSOiuI(;t
z{YeCe1TdN`E?+iA?xLevw-_)K3Cq@`nZ{dtUxPy+{dd~9bAd<BH{-U&oWZB}fXeip
zO<<vsa(ImHw)ljwuTjbchYcfYYK_>=XC!F`AV{CdmK-Ornd#zY%yaSDT_P<6H5$F@
zhd0>y*0lp!)BVt{Aqz2uRH8N}{9oDpRNI(WJmpp3d~^$6mI&tM@)pbd++D17u$c?9
z(-0IC3kYvO33Y59l3c$9DQt0d;Iuu7c<q1Y%Mt7)e_6oWGQ9Bv<4R}ez@tOYYuoB7
zX@w^rYZ4{{DY_A%7Sltf`4Lep+VL5T0R^sfqvHn$(h8bNy{}AfP^+DP*uo_>;a33*
zOT68?JmEcvvi>hn;@LuOo)hz<?7orwR_?!z4E#UC+y6{DSzdhzrbvGunPy2zSkaB+
z-25d-UCHn+{5%NT5s90Ir}O#Tq79WOX^DfZNeZ}!_ul7I7|y8c6maAF*`W}han8vZ
z&Un(HlVzKfk(Ms;?mT}*E|)vaAD*OdTDs*AE4_}MfKR>6RP>nB8%27cfuT_#C*`Wg
z-u_{kIfi6AsbERGjBZebp4`x(inCuqX5?6ST|-TT7Sa@|jM`KI%AyQTXBt6B(SGO~
zY`;IT70F^BUFoY16(eGeN~Q*nW*dVB9tJJ6;pq;#xp1Uw(0=W$8}|ky`-N7*A3L?|
zq}9&Lylv-pR<}5`9i|MMFMJy{8F2BcdHg=~9>fk10{8Z!Zxy##9Ctm8W}=Aeo7|X(
zP<F#nQRuP*7HF#6f~%m#-cl&Fw4Cn;vrP~s@$!0^yj~+R{>+dXQ33Y<v!mNi`$T%2
zqhkT<lvfW0(bb$BJF6Q(340lNG`xpGsQ1!>Ju(?iQt^u`g#Q$s79~_t;j>qhow&w=
z-9@w|MEf}@D$`Ix2Dv#yN6(9+B?+6zzkVb6YU|=UEZo*eHG1#tx_}$yr6M>5n7Sg%
z6_u@B*-kv|y&mcL99@Nb#?9oJcXMySd^*(nTG?W8co~&+?+YrEYnDwpu5}j&f0H24
z15=~v#uuIGGhI$v5?IK181}&!G|}Pae%mTdDiPnFT)Jk={qXf*)kV`C#&%Z7OA}iL
zToG^}cPmxO6hC(UU?HK?!W-W2@<Cj&4TJ<lsnj9z!~W?g=^XF7h5vPA8`x0WeA5<#
zQpWp7Cb)#tSp10@HCB0hB})0P*<8~F#}b6RF)7fWbvcYaL+;*=xCLhZ^^6q~^Y0yi
zj?!OTc^W)qD4T#{rx45h4#Zw)4bzJ<*D>UuRvD<~4b5&HIWTw>U2C&#MZTux6ZUp)
zW4>%i>gUd|1ibh=K{X~kR&gj|1bOA<zv6l%xkwR_JJ6)wx%Fm&6Ily6yzLAr!i297
zaSgO-EY6ImwQ9P|E*9VOL<=U)L>gfspmcQ?T_3ig`AZs<py8okJjd2PJ}xP^wa&|P
zy2;YRj+erY@arXlvf+QSoaPdT<JZ;f#DjQbbsY#~J(8!pV~<0nI<<?VQ<(cd{T?Q+
zWG0lNp-}RJ>>BBhF81ieVBY8pVgwsLsW6?@A9c~?c6Z7PA2Q#{DQi9)(-A3Wn>Y~E
zha^rEfpq840#^*Jq&S6LmTnxx2P9%MRl~Xo?wR6O-ao0SqtNzt9SE1=VqO0P3e^yK
zrFk3f6pU5B66gi_$aEH>$egtWL)qV%tJg$G&*Wg|n9!+aXEmanTR~U*I@g|DOJD8+
zq<eRToEY7FC&E2OYG+l(e%*y5^Mpbg{7eQH%Np4LZ9(XD*6_dv>d6%N@93rF(naT4
zu8CbJ_gz!!qWkpRK4G)EAJ$A^@^O34Z(*vs!rfzQB1UfVlnR<M;9~r5E9g@-q)L;Q
z26h?&<m0s==z_3+&2o-kY9+SV7p`Lf4L+O5*RlG_qzP|^Nr>0w+^Ka@2n~a4_>>=l
zuD2osIxqS+YXVrz$NY|aMwSV)g5I-zB}Wyz53f-7TK;;Zv#nxWJQDwA=Ek(Pk+8nV
zxkgAG2x6D8t(l;nvnS0?CAbS{Ge4F*Zqt5bxu6*bo=2qqPz-Bv-_9Ci<6@<~s64_!
zySE}{!{raqeX9~a!Q6!wB)&ywKYV&305r#L>oj6i`n(4}t(9J+syBD43c+^BUIutV
zz7Z}?L=IB!_Sl|ISlX^zqH3q-f%*j-c6O+2FSCsF*xtjD?HuXo>liaj=s#$Xah5x?
zbAZCcdpBW}TEsN(B{wkIjG<j|5e4IPJXx_0Sf*|RU=M59mOS9?!@t(mq$KH#F4N){
zs7pM^KM47ABelq~(_)KV>?UW@$43p(`?k<HVHFmyur_4l8S<4NVVBR=hH52fx_Kd=
z3h1cZZdNFyBBk}BT)n5ysa~SYV#c+qL1VYx<3~bMb}Ydrwp)bHWi|J{7NfkOr8_}9
zk2mhA!~TJXO{4VXK=}|bB0b|*F!wXdy1cskK|C9No%;A?-h2!!&2s0b5RdbhjnQJ=
zB%FGW-Iyz(y;Eo`Z=3QtVOBNNtxGTuK%X1l9KPPw96GfAoVamk$7(~Za|IG7=0cW(
zz@gYy&z_lTwJp@V8c}7_1ZNs+oMDlx5$Df;TQR^McX|YShj#6;iInf3#SPL%Yvo_j
zZ)qV2=tZzh?dOrwBb6!7pkjDiNwZJ|HBYgwZvMv5#yOY88n$VhXssXFY8;TS2$LT0
z{RjoerGU{o>elo+@yW8NjOl?bTMRYvK{)(ig?5NuUXGK$j`bEpGhyoAz902!&~H%%
zZ{3r?d*Chb#{JXLQOiK1k?2Qk6NG-I!6kOts(a!Al=xAJa}@XF^@NoD;cu>FUMUBF
zcz0K3mH~+qjyWi;wNn}}cZVqRKCb8bx3^Db)!m#R7rnmD9j^bKc|wAmy1k|FsCGeA
zGbbz;ZaUb#WL69QK|=UuOqJgK31?_<rG8;<C7VM`1<uSOR15VF6op0W#_@cOfi^Yo
zyDbjNS@Rkv-<XRNANYs05{(E{bs_W%eDJ`;v+*{A#)e(Xt|^q|5dQJTu>#&ceTrW%
z?={@;ip&L5HHAc#Q&DFm$TG!uY#Nya3(;UQV;w8f@K9kZdqkzH5lL+QH>~ruKYO@r
z4o|`9=|JZ+rZih_a6_?f1!7RQS@noO&PQ95g<EA#^L6+Ya}jk-zAQAP$X|4x55ZF#
z`1@p{`C}>pUl>^f!>D+7T4#>6E<n^5K9qImg5isGQA1_o8$irf4~f1iTgJ(&^#vgx
z?00jS+*Aw%urO)Z?DD&Dsz~>_=E?ib*w_{xmSxWR!`rib;}OZAH=PIo;%5LwWk60U
zc;Rb<{u0{^Kqh1x(~LOY4@8e#>VQaWR9R2+lDD>9hv=1qeYr*mB^0-oy*&H$d#=oi
z{9E4B{PkC7Snxc0@~641C5Fs^jq8wq*yeGm&zCpj(PR)cS4FauG^KG0foFtFYDt)i
z`@CK|)*G3gBhcLB(d)ww@jni5bi<O!aSOPfeaDQx_ywBRj)AGDes+$|8JO@s*q7Z=
z0^Dx<8hd^6_93T->pTTSun<a~e|&}>A*hx2sI%Stmf$fMd%04~N-QWIwloj74k6m*
zK5j+BFiUKL9(@7XQe%>1F!UcahdgUNFuEuS$t%WzM95~M7=egj_Y;tp&mH1wDA_mA
z@YDE9EFp&2s<>CGgoDh?AFvwWKK1`Z`&k+OM?C0%w^i8w56k~wTZNh9{{~h5U$UQ*
zg^~IHr>&x5jm;)Q47*6cAn`W;UrHr-5r%;Q=D*`o&H^MAPO*avv?w7VAr)RC5e|W$
z=e+AY`}O;$wb%Bl<$ZT``{h^nWmvSfdX&`S+6YG3A#kA6y)D2P&>cocj}HKGd<F*e
z(U6((Jm3IvPS41eObBrb=N1_CGbMlr))d4)j#9G^?}kOE5Re59(mw^ikBW4JiUte>
z=p#^Y?hm7DU<3e4E#E*Z5R6@L3Iy6=%skQ6?lsi^3U?pQ^7jGSu-O3UAu1Zm`R4#W
z&J}E6fK5#yFa&iA;N&-MVGIg*-mxAa=y3N3H9&O$5Z)E_aPQ&i>8Q=w<=oYOUAoQz
zsAtd)EP#Ft7vvda1K5WRW}(Fy{CgdPoef!V2jKRnTz6&!{?-%}2mlWRu?_~}>VJP9
zuo+|!5Pl56tLhq%Mh)><-uRghmJ`rt2E2cA`oq1gzuN~KSm@88y|LcT(WNEWGoaud
zfQtbHWI<W!JcQ^V7l69_+E$1<ymK<JH@O4_)7a$4@Ludh9gtK5*MC_!(6{N_78s~|
zaJzkLFn)*T=@;&q(L}VYwmY(c2@=|6{8uLr2m`#q^Peo`Y%bX~sMABx_YcU;prUr?
zj?9Kv#}lT&fE_-eYEYjHp6J@&<duL!009C7DjEtvzzzUma5V7D-NV;jeI8$GckeJ9
z?%P*aR|n7yUN+!+z^x!0zO}w9l^g;f+%w?Y_pkQdK4fMJx&d^nA8?hxn*rr3{~X>Z
zVJH9n;NH*xWS{ds(7PL8|L*LLzZu+Xqf>xz_b=nmv6qL63QJ5%49DN?yG>4R78LOQ
z<PaUe;Q{gyNJLZwU@%A^;Ll%tp%v&)74#loU9}<?THtxk2*2z(KZy5_%YU`cEg1HG
zuaQL;PXZdK;dkf(T|ls4W+?jYFZ05`{reB`+dbtE`@gjg0#bO0V|dmp{LjDm%}Gp{
zhu^9Fz-GLA@L%h89vi@Cf7w_8|Jxd{akT4$?>;Tn_LU*LaiJSR|9HgfIuNk{o0b6w
z>~Q{x$MWs{w<N)Sg@o2<?)SG^p#4Kopg-}q22D0Oc=qrwVB$Z8Ks>awK4mH)TOAvJ
zdyM=7gnlTn=EqSmK7>el1%&;nuZE~rf?<3duzLq#-F<kvfbiFEKsP#u>pgNR5{Ui8
zAKFh~$R}VAl|Mls0KAsIL<ofb;vaS-RIq!EpI{My|H3K+iU9F5dl7GeEj$JO1K~KY
ze?jn|0e_(QM1sG8-SCoy|9uzg{DR{9?EH7>!}}NT$4Z0^k8ypF^d3A6|MUg_dn5)F
zh(LgS{eg*&{lGA`+3;FzrD;W9SIam-Sw>sDW~0;l)BqQc?K7>?T2+&Px*lqCIWIm~
zj~!KW#suxs=kun0$w;iN?6T?ixuZpLA!pNKIOj`th40@*ue~N7{1PIqZ?<)po}F*l
zfNTZrRF0*bmmLn#>jwCcs$S1jR9ElfNMd9rZQdnyjyY?4L86}XpW9~tZAs>1bwi&b
z&#1q{0<V$(H;^EMuP?(ZhucrSJZ(7e#vfr!|Jb^765ao2#Jo}`f37DwDRD6+2<+wi
zVH~8nep@aJ>!ZfraRJJP<Of=F>^$p<T5lY#dM>T(7S-l$I49FmCnhy12s~Bf#q?UL
zTB_;E`_lv_@ETu#MGc{fe2{kaHb-k>-<vkVA-8}o?p*Cn)-HDrj*Qx}meISU4%pHP
z7x$kyLlPKgTO1~TmBW<ZK3km6$4J1;;yse2a5F`3DUqzS_<X0YTCMv1Z4%$ly!vp#
z<#S`!oJq>rEf{ym@mQv8nY91eYeiQrb1A12m9nsK#Ic;KwN)Ju9QccLQ>P79JoEyZ
zl}i;z*m6xwH`*_lZ4MxG^Jc9tPV014ZYv-Cb#+B=4{VZB@S^udRTNJmO;MW$RR-k4
znk+@4bupgFWd7PPN*ca+U8U&AUZWUF4wkA95AKhHmx<aqXv#ia%UUvV|4K+V5!=jy
zlnQ^=WITEa8+z>>VF$AJUrj3R&RrLho5XsLy*!HnAyb8mSfX<%(^<JTH&lm8IPp9W
zZezY$^^*IT(RQ;pMmsj%4qVwVE>ih38}1@sID4@zN<o6;&f2uE>yOwJc8$44>~%f^
z!E2p$$MWSe+W9>96*dONLCizw+?4|f`wdyp|6=SMf<ytfEnBvE%eHOXwsp(4ZQHhO
z+qP}nRed8my8j!z!5`*4BO~&hwby3e(yikIU?H}?gMj?xe1dE)a|jcXx9WS_KWEMa
z>D>VV)orsj#fZ>^Uw~=ntj7ABe3T`<xPyhHL)+ng-BWUu0i7KfS;HQnwmIJM;4$MG
zcsl#sG-k{#pUT}@_n=c^o;h11L?a2wFzogGS;%pKFpS$%F_~*vbI|kHT;VEnGQU;W
zZnPKw+kMeC1~?kl)*&Y`^Lvj>x2n+@1>5h?7~eNVc4T>O!FI@xAmhW~BNc`LF8XQW
zD_y9-`coi--1vp^o7N(_L0{;WfX$F@4)b9nbPeUh_65`W3EOYeakm<~z*(C<&Il^+
zA>&!PzHqzaATPpo`P6_A2~|B^4rPR*9&S}nZk#X8UCacAh6~STs_l3cy-Axseq9nT
zeINl(yxH6OV8fl@t;S{0v#x9r9&bl0nL;qu4J~^N5&fMP5>qySdP%$W!|7vuQ2S}U
z<)bgfoOkg^>xFJ;Cv+jCXEA~VnfOC7Z6ns|aGd&fY#7kYe=ptM*{cNB4Vwyak%Y0=
z2+XM+c22d_5qF`nBR?5loj7eWiQ%b(_TGgKU09t(95{mCA@+dY@v49wyvI>~S&28@
z(GHe6O*S+I-1o9#crb*J!d$aFm7s}uumst5(M=uTT@+^@{Zq-4O-mUp8Hc-&$Y{T9
zBUB_5xSR)U?lIQM9{v6R$?IuYoh@RMVE3)Nj}nn7T6>?w&w7rwMEEX7<!&CbLOgJC
zDVxqga%ypK%<8t5p;NmicYku2l<U;(*~xjEn$Eo~gk^H~vh%mep;#Z>x9kriPFo5g
z^LZRW&<}Q`txxg3qYWWV_IX8Vzs3k>k<Mmp__SRf#_qe=rIiNj^x<g2)V1o`?!@@a
z(t+oeUZ}<#O3V^zufS^zd{*hh<1#Eo81hB+EQV~VlpKPKa(B@H3~4M3rq^_;>~rNz
z1o6iU5Aw~oC58bYcDg6=0uSKI5!v-t!q_fgp;HP+A{=$iaUvFWnDVTG(QlaMc`A|c
z1k;x=6tm$u!AUeE?7LEX_|+5*&}fZgowM-Pbp}2}GAmvGmOuWY#EJT>;lC~xSzJS#
z7>0x1xv^tX%0<q4pbou}gmUvv&(QSMBlN>!L}00U0z{p8Qj_hecsnHX!73y<8dO~Q
zeF+LHB=J=p`Fu0vFL?&kAcjVhIeyN`@~0u&q;E?zt3Q<X?op`QDVEH<B4s7GH>amh
zQ>bS{;c_h>e}KPxv^kmb#m`-%xKwI+HiF%Q)H27+_>D5SN1~|Hi^?IKgw1BUlHRY)
z18#;k?X4o|GkOI>bm~OQHQ#*pOa4@4=Xg3nR`;glx{nJln-=)a6nLU>@gK8?CtWfQ
zN);+VJ*)Lf?eTxa6P7ry_Awc{Qy_m>Q@T?6M52T{iRW?j^hm>E@kztI9*^N0rH3!4
zTA(UYuNU!q;-^>4P)#U>o7hJ^<>vSxg$kxEPCRBZ-m$YChN+h~=Yy!JJV2FLsA?WE
z%`WX*8~E;cC>V>UTP-&RPv9GK<`Wi(nVbKm*bc(RVEZRTDPn>qSWrq~p7@^q(xb^<
zd$z~Yppu$$@PG&caXxL!ac!hj#U87ef9#CR4_q^We(6Dr*(=E0Nrt2BShbWL;#}SI
zqUAX`(d|kZi2nM+;+#NIyofQrC78|XSGKi*XMXSBGjbahVV6Kx)8fc<kRkVtN_m8K
z9Weg0ksSCru!Crr0bckIkRpqcc#OP9?LUn@?M^RG-kI~1&~BT@*~e3DrLeb@-v3lg
zstPw91IlMx8Bbow=^i4@Fv7Mt|He`o@)n$Oj{;BULng87!n<W?L(+~>D-<jjoW-te
ze`Zs%kDDQ)a7mjCBNS;VarCzMXh_y65bhK$$<0Vq(*{3B>LC#o{zzZQd`0xSQ*6p;
zu1x>pT>^3GnT<e3$UCX8S?c1`&-ZZj|FF6z`c(y=zaO`eu}e=GY|FUn%Z%!9p?G|a
z72$C#Me1HJXV6g2-k(-VHf+g&5j!Ucu3aiEYpr%dbmw{6Z*6(P>0lqLWdtr{#9WJg
zqz~X?6KVbT_o4hmu?o*V@hD5E#;CM~i3KN=oZdGF`hg4hw^2l$CReYO47NZlRYfjA
zn6yAV-e5;8%8Q{TMCQ8U6;!f}HS`BG2o7SYD$aczvx}^ZZVuP2&L4jYY`uq46=Ueu
zNS?h?OV_v=$xE<Q)b1ZNE3&T%LIHjD5P)9mnpm+3&h#Gpq{P)+YkegM;(94m*^s87
zL-cdl?4D_&72avOqRag5`8S3+d<ShMZIP<_2R3o2(b~79D1d@CV6ttj7}O(b&$UX#
zcdFPm88d~16rA~l@jT9<l(BaQ=#x!r&ZW2o=tv<-(IeK5@bB)2I6xk(Q*4M@_lJ1#
z$Z!mtQRb%4_sR*4F$`=}A;vxzdkcJ)?oS%itbXkSwncZDT&8w8>;Lt#wU#dq({B%_
zw#1vXaX_in1cSq(RYAS4q!>3SYbvnx`pQVgQV^JmthnSsYmq|(dSu4?%1u8~vu9qL
z5l`Qw#_B=2@P$!kz7BPS`ynJKF{T37%L@Pk)O2!2Rca5AFK}JbN95?|db$3oa~h&-
z5(=r&x+jYWc<ENQ#0`rVe)hWW>%!pNH3>FSq!jT;*4rDZ(>y2HzTRk5_2tW0c(jDw
z`B!-QPqAm)4{erv(Hy+|fwsMIKx%7OB0Z6nW<SM3>O3??hxFEzB^2&8@8aJ94wjrf
z8)KAf$LI^GyH;FM=_9bL7yst`=m=Qbq3yi>W(3wet$7rJr&H?6Gdj&&b9BVNpa1~5
zkY?YuVN_6LI#6-}C07llG<(&e;vShRF2^<CsU9Lc<fd+<;+XX4h)&NC7lIXJ2sTGf
zq<1J0<Z!f_(nkxRrV*CKF}f$0pz!RkVqK7}#miHHcQ(KC%r+3lKar6=l2OwzZw~Ya
z?B?&v!HdLLlfCwZ;jST_yZ9tJrI>bj^~nM*VwknpiHJ6Q7bnJ6lk@=nl_bw!Rb}CE
z*c6*4f}+0McEbK-J!w2QB5LhP6At>>FjbZO{q}%%u|}~IHT0RQ9W1U8Eed1lUCUX3
zW}H~BoCA?23^W)M*v9NwIoEWT{7x@hM4!8fV0d34!}4krXp)MPaR6O5KqzZsK_Z3b
zMeNSQssoO~>VTh|bC`XW8{=3b+eHg;s5QCB&&-0d)Mi}CO3z&E61js7=@ES%Zy~VU
zZ}_BErdDFX;h@UM!j&}Ex>Y9{vPcP0<*qmX206975m2JhF4!?^p#8a`JyYgw%?EAc
zj0O_Rgo2}&fP_%dldyS2RVQIP@7r&|7(;w(=T{)@psYDPrdKOb7F`4OE0u@Kvzdk{
z!VcMwJ>dv~B$KDS(!W1r(UQd3-Z~PG5g$WdfioTYkX5dD24AYieg5CP9-5ucNB%fZ
zEq}VH{}L(c30+_mNk)l8dUh#(E$_U-a-Z8qS=9yJx40>tfH-z13SX4D+i987!)UQp
z?Bq`O+MaVj!i|#}v#C9l78u2iESK!W*uotQwDCZR7dqTP+I`(qQoY9~oFWhU0O&k5
z;yG>wrO~NNL(zU5&PodzI)opZ6%_vcYQc+SH2UlOv`@F$9|XCA8R)bDoF}6V;M{MP
zJ*pMTJ!>S-nIq3F2MM{b@C?vR)|<Scc!M)a@gUGq?y&TuJbZ5UMDvE4ej`{MYS)dm
zBe0oV$OOVgNE*nO`f~{{si5w##;bz;$1-(pp-?TTM>Q_KVg{`GZKH2*x_YI~&F|Nc
zL4avKxmsC$3V*rK;48k#lAH5$1wQR;3?WbpeYQZ4p&eV;S<X4li`Ww*5;iW5hd4ug
zImjt_kuK!2H%8cllg@S}o+(@Jwdr_8CLt|Z%3|^}blazS?~{}M`sp$&D9ybW57bl*
zTe*;$J2OhRD8mJH6L6{i^2A)Gqc7rJLaf~(DIK_ARqORIQcmH68ka2*f&}&eolDI{
zI;zVU+D>x%Px`8Uy!X40f|}%y#AQTC`|rOty6TQBv40zh%YNR!eds1EE&+w-@E-R3
zd<i)2!o5<ai0VwNXX#NTQ<rPr39G3tD&3h<tNC7&%eH(0ruy##$Y+Ssa!_H249JB*
zA_H{rBD^d(A)w2`aA**mpk9cbmt(4T4&IuiH*VTAkuFO9EPu;OKMUqTV0%M67o;4M
zzf!$q5*Aa~>^1rtLZJp}D<OW`O6+j@67_?{lC#i8b-l<y%M8Shxl+HB!gIl>NNAO3
zr9dw(YUP2shq~7J9(i}08a%Num9t1D>8jljXRD>ss6u1A0(wxhVr-af_DY=<r{)d$
z2i4&-<FaC-WUGooNPjARNzFJCG{@RIMwq?_u}NvkWk@)=Ujz9i$)p@r*HNM{G<zJ<
zlZ|t6_bJb@7)%7{-@w?b87YT9%6A6Kj4H-P>6Cnnd<NxJj0z`Wyo>3j&xj~a!lqj%
zKpn%MsCD`k<Y;RpUua+h+Jnk27nyeu1_NB%_QcPp0}xm^I`6nAuDmg~UCGn*cV$pR
zJOIJ5SL}|sEk1kvT&&{ZwVCc4J@;`6i5b<Ze!$aFTIV;7KQ#V)uw$NU7;K=j5TuCJ
zEGoRG@YeUZQm1PuKx~~6DaJ$@U&$RI?UL*@ju&KLJZ=+FA*i5cbdkJX;f@ozA_zQ>
zeL!Hoi|lFXHrFp8y|n$4t|L94+GcnhZmnBi&6=D5Wo2J+M;?o$gn)+)65ibjKkLYt
zAWek}ihU^Th93I|>ts&6VJZnZElpkoS?+eY?6btLPk0$EvRwAK#_77<VBb(q+xd}8
zgF6(sTT6AmEoB?CdV3dj+~iY~3idhpX}=QXbj{9{B{8S$sGDIX8Em;sAfMg(9P?yk
z+mCge(M@1^uK`|dIOY1{EJxa(`{Q<di~dw^c<0Gu%yL}}YdO3lvlMZ+=$|Chnns(E
zS~Nv>#mi1bp_?^iZ|9212I(A6K0+<;^3f_LS_0<iA!M6gfN7(1?m~x$j;QIoThulp
zQmJj*SeYx)BQ9;EGmx0|2LdB&wy=`pyIeQOrd__r7Ki+G7+l3X`@%9QpdQJzV7r-@
zl8qKm>qTwMXVQ+H22(K|n)x~!BQwR8JlX`)>Y|9Be7P6qYVa~7?d8({J6Mm5!i~6z
zsTw<j%jvZ(-(D;LYi0h=ub1o1!08sczaZD@hUxn+l^&)upi%VO^^H<!=QBci6;=$7
z)_Z5rV=kRQ6zhp@GfzK0j`Va>$htXje)`Hm|3Xo~0$6CbsxiWyMF!TxtX&^Hj7;D#
zzf|hCwFW`i8r;POx~7_<N#tXLHQ!P@|CqWu^5$ADU+STWvHIdB`%TK?WSh}OZB(vS
zX(u%l+`?k>_2J-o1uPptD+7RAJZp(hRz-XL`1)tD|3%prKLP|?mqKQGo5=uMpx(d6
zv<2FE1R((g)Cit4ApqMX3r*9K7ZybxbVrq$%gp7)0<@~rEDFIqep^B<=z>SqJ6|dz
zHvTlbhP_!7A?qFSd3sddV)S0iTR}I1=sM}Ou43e!iOIWn2NHe{D_4am`cJoQ!g4r8
zS*g6m5lO|IMCsJ!ROe2cSl&7NOm^E2otjfaFq7oEqwF*H3f&Bwiv^ELDs5}1e1@I;
zqcbiYAMdoNYFYXY*Y~;8agOR9{&JcDMoy9?s#<~0H0It|kq*W@H#@P2-*%oAh=dA!
zPMoNFB2N4I-QmYJ=!T*qq@!z8;3x-@BX~8n0|=3UmG~C(qD)uWG_>_r=|q)Ws{QAR
zRIP6|n{X9Q9=x-2Vv#Ho;d@XaPx!RVsar+^hVZs@!yLAzMOzKhBk8-Be*-~`nmfU(
zA}C^`jo@5Qr5+cj25Zn&&e-x{1$v~y3XPsx<|%0iP5>ok1i-p}+PUoe$JlC~Xp5w$
zW%I?fovmZl1(W)YCT}({h|x0_i3!L3_+LqD20loZTAhvjrRVgxCZdQP8Kcey*CZWD
z0|8;pN%KufWowjlxe-U%dE}=fPoH&%f99e>xe9~Sva0?0N)e2&Fv4;M!V6pJM=ym`
z-)qs7SRtk*m*4XavV;VLlmqvNM<SbmuX+k4nP~)2i;U>l-7{=*aU<yOGu&Ud7a2*r
z2a;C&%f@D`1quqdsW5psf7V+%#^IvLv-SJj;~p<x8^P7Bp9}2DtdPlv6mnLU50!;`
zGbHbMPukuDM;#&9G=vlyqIjb%lXNwbFv`|u!kf6{@XdtJ0}%L~<N#|4d+tAfk{cZr
zasiIF9RLvcy-CpoI@T)%VCF1OWfDxPEs{FlA)snwbv1FXGJw_IWW^ye)2`TFLxLB#
z3yvxAwuLL+Lv~`2@A1&1va_bZe8#z{AdcZyCj0jO5T_cDo`p$x%ySv6BwJfICCKUJ
zwQC=7%2_Nw;-vkfwBRJv16pJZs3?c_S2_)E#s-ICD&@?>T1w!ZAm)jo+2Rvi#8<=`
zqA|-9#)ZAi6SIzCPcnuwo%URpu-0d(jHJ~h@sK%QOqV{>^DZFfU~ML);xYn8PJ0qN
zt!%c*LFO49j7iZ=<Hih^sGM77_0e-zeZq=!s||F92YB4t_cvY11~iE0Ck&6YD3?5B
z`H_>~D%)@A7debmlf$bhAWGlzh~iR8sb}~PbRLyLW`|M)I~jKTNJ;&ZA=T46t{3(i
zlf=rIw-U-MmCi;R?>V$v$4dvY!ACp(iB%dj83?r*_CEyQZ}==rKZ9EXcO;Y|VuI@@
z?oeWtCcxNz?RW;yvCHZBY86jk+OOmXj;H2Uwddp$SZbhawfht2k8oyXd$+{0$*)WX
zMn7Rx+Fx&xb)be#{tbdN28&(?W6(-I?j#w&59C*Kwl3G=(4q5+t`7EG6OySNViIg{
zzccz^XpU;*+S47^fzf^BSCI5OK!BQs*$#^^mTl1W*U!X>X+z2ry}v8c9gp+ghvms>
zYR|hR*s9DDAX2m1el42pH54|DSw;(fpZA5A(QlJLM@CE}6<E4&SH+(bbW0KwbB{l8
zHis=*i2TPhM<l<Ss6~ofs&Mgt4sYXGc(j~i<Rgl(Q7&Ji@n)%>{{mmpsd8|Gn_*K*
zCYyuR@Opor99%gIaY44bhZCM)z|bQbpH)9|1xlD9?z%TL;`rGYh}h~GT8e3eG#(dX
z`$h&j5n$z({GAX^GE0m5z})-Z>c@4!Zw$}%>@}$`5<SNX+M#3m_OM~oke6$&{5dG-
z=qciNW-UAYA*n{5N0!nkEIk#~(yO?-tVx6TOO+bwOr!2ogcX@Iaw=h8$5huDHkoe#
z8jY-Fa5YqKHs#GH-B}{6-gOWQxs#*1F|o?Q6pL0BOh(^&ut{RM<56Hw{1k2d%2XEi
zi>*oxTl!%>7ZebcN-5AfT(6Xb)Y0Wr{R%a6)Wv#xyp7uKg-xc=d?WvxT`<Ry;Q-+H
zs#^9N@BkNROlykcVhJfn!NCb3d*lE3-Be+S%`^db*2J}Ubn!BAdC*DCwO1fz<>6et
z^VjZkhw?63O+&#gr<ZI^fi~hJt)xST9sf(Q0c|sPb0D(qbspme{I=0s4yoNR`XFkf
z0b2*s$U;m{>a9vh=cv*r@Y$7Q5p0apWr}?_$GYau!<2}|O`c?-=86Pod<!aZF@PD0
zjAJ+1@TwT}(#Q1nYTt2Upb{ZbcL>+$4?J0~Y?Mo-kb#4u3s#QNmDMG+AE4wYM=y_!
z!nsM(AMlu`t~IB@337y{t=bwtQ{7=lTBB-IzD6rN<*Z3`cWpNP86BtP!PLl<OlNoX
zJxcM@ioRb3aeubC8;xX8@~i<4L}ksjJRFw7CvzvPy~JO}$Vm&g`eaSm7qjlwekFsc
ztWN-%aBk+GR7GDoUo(ZBgBtI~8B?XkVu#IFGR_b>RG0fDUOlu92<o1`&~oY9>LX9h
zM^E1N73N>|6pL^uQ|xH(MlM?6nThGaxD_2N$*TN`q^yQAL&}Vp(G8LuqNO2=Lruy%
z=|p#64Gk~c8j%FcZofHnkbSZY*n8bqh~9d2J#U>K3WYECbnMD8a7WAirc1Iv9nh=s
zDGVD}CK2*u#rn2G9-~?zw&0gI1??B4X2!7TsgdOpP~mXeG4-O-G|mR8P*V4LZhcoR
z=-=s7=0l5YL_COqW?`jXZ9v`71GZ;Axcw<itkE%7_Ap8C=Bc{nJfA_OY(qkkD4juL
zN0Vkf&AZMk?wYk|9Yt)iN*p1ZpI3)=0AFGsZD!ogz?ks<HsYlR>JSehc}v7UrnNt7
zdv1czP%r){@n+m;SNSt`J0B=GWT4-m@dY^O_&9FFEtKr<ixRx?9a_8|<kWlB8M@V*
z(n5JV=-+r*qbA!4T^<f_fbT!hhpA*^^q~*$^(Gh^sQ?dMNk4(y``;teq8~pwu>mkj
zRdaG*b%P^pZI+?M_&!~ew+6XfWWA%$fZFoWdU%Tl2RK|!xG<-Kn;*2_@5N(1yaVMG
zi>O%*k`k2*o}bl!C)0{JG$7Wc#;!mzhWv!m!Ay>(S4YlZBZun_A`{<GX#?QEU2kLx
z?zCJ;KmKtae^a_5nDQguI_iJQ=tWE)S<2T3ak_buYp9j1^!{D$rgsnj4~}zj9VLr|
zgaZ0<4?<x``#XwOsj-pv%F3)tB+$WMQl?9*r6zfZOa<#fhy?okE6h|?J;D^v<4T*o
zw^9GFy_O3)MtNBHf|Y{5PBvGa145&>-o`FPV3k4V@fZdvAQ%Ay6WsQRBnr>M&-jaS
zcx50(W6#>A39U?F7R;bc^iva9>Db8$zA@`1FAZi-M|6M7WQPd0=c%cB46Mc@>Yk^q
z83LKvkXo@&ceA6rurLd^xeBseI+u`hN#3}>zY`+=YG_qZgzHS43+k!1aypbyHz~Gs
zDIru|q$-6MqaAIc#_#{se^2d0Xlwl~JsrE6{G753tKQ?9%8%ENNwC#G#S<p3HZ5;_
z=)aw=iBa^0a7^12_aO$bNwyoh%1OYl!;+x&pjTovwQtb6P}tPtPL~$I{NX?Rr*<N(
zXQPqH?LPf7>oJXQThwiWfOgeW#!lWBIu=uwsI3$0iiNp0@E89erG#)LFr=s!41l>}
z<Fn<{umYdG#LYw--Y3=6eZ4hs-_8ws0=}K<jr5$BCutF7m6xrIqxQX+*oUc1g2<%}
zSaF8L`D`eAL~$~;b`Cb-bV>5^?YNnGLW5=d?VNI#Bl?W5RC}DB1zRd9#WHlQaz4GX
zC%vLlh6Jvh5q5WR3M%hJN(MjksqTJtb`8016}QIQDE>^&Ko6z1XM8y8qnH&^FP-@V
zgmq6YQ!=k0L9?3^i%xC2Z)+6wW2VrK@?;=iXR`@kk&ojun%5wnHtthP>#&$6dCF1+
zZJL0&JZaotwM;6^GEiO2km!nE=`C806RXJe<m1t}LX^!@<?3zyctQ<eLLQIbl=j3=
z>IUqfM&zC9Pyb<pv?*AJH_3?oYnd^2$6Fq7{;l#L$oNHA9(gNldEvL3<^`G5keC`!
zL{?<}JEnpW&dkft)gPi@(n(}9Twnj4-5rbrt8{g^8n{wFjY@`-<q;xNu`oSbA^*pS
zE@|VD8*{u@y>WRh;cE)hB)Kc*N1hLNnV^E<b*59?bx++oj>V#KPqV|S2{Tz9eqEQB
z>9<YglA#Zt5j;LIJt6^y{YssrLP<YM0kY_jcDsnXR}$Oo>2`|VwKZxoofmQ>a_-?b
z3_3*m-CHrBIXbB(wd1ibqi@Ak$dCR^qvx0l3&<7-lzGmcmZ=BJOq#2F^RAQNXGaBX
z;tGh&@aZ7FqLARy!d$?4<vTIp5b7KG2nW65DR&H_yfF4fcr=y#O{TNf5P7;DNN?Z4
z+uifV=wQQ3c4tz>rr%c@Szw6f&Vf7H4PSaQ=j8nCseCcC{K-4#pj2b7V+JJ;DPZH%
z${~SX^v+Q`tPecA@hS7^R?#KD+u4}x?}vZvY<Il+n$~Qq5MRjTHxfyn1NN5IGDcz#
ze5$en!($tY9K?-H_|_}uF<0#`_c_<hG4WO^y2V|#y!v|&Zs}Ia%A-@j!`@7MIV>vc
zDcK@%O#PKv9)q1gLC$RV;pF0D!l4?4o$1oM7D%{+zMH7TM+KHI^`>qOhDqCkHhkUy
zy_H|y2etB*J>pC)>Y?x=@K~(m1raWGxL@mvHyN(KEgd(OokjQ%#B93CC^KdY+PB=O
zHNu(uZ4hjBxfiOMa>1KkwGrC~F6Ud|xysH;B*O6pPwbiyvp4S2bWzh_WAH6eV{G#~
zm7<(WBIj~4wN8g|N5sRApGv)0>ql@#<>o%0;h|4EMi-W|e5jS9h;?H<|AQ~UT`Qf=
ze_^K>{~J5S%=#bf6dNP^|3CdFJH^h(%KpD*r&>VewKtJyqdJA`FsRvK(6+X>vkm+N
z{@Ov_VD<-aLFVki^%JypN(Jr7`rU~;-0+-k{nmQax-4IPJNs@|dREt}!4g%Mz=bBk
zPGM5R2YT4qIRXU(GFohG0RiC0r6NNd_3Ili1-r5P|1uiUUj%M%5zv?2@j)=!=u^dt
zWmYAR63M}Wfs%W20=BsWZp{X@g9iEY1HdDYKj9Hh$^5~$JO-@?EVBnn`u8kwffd3`
z4X?r)n%>^GP5JTyPT`{gw8q5&eBRpmB{8kR0yPBu3m9`>_0Pmo1yp4LaMB}yT<w3>
zqD&RM;NsE_Xlw86>}09V++@+SaoMA}_^}NQ;^x7+fOoq4TLbiBf|Y4;1pYdWg!lie
zO$%-Nt-tKE;_0g1>hlu|L<Ru~>EIJ}6SVHL@f#fm<dm!cfJLW&g4cM4_s6+g-2rIh
zX#dT;sXfyR$DiBnSH(w|S|5hGfcD=2v?7qz_Y3KwEDenX=jwy9c#JeVK7#X%YJF%3
zVAs&#L-J9x0gX#t08-~+eN*$i!DkDL4CN~28ah{t)b3s2zG=W-5(PWCf(h|xGy1BK
zLpuNi<FV<aTg^>$4jSmn_wfbPf>;`PQA1|Uq1E<~533|omw2I@D1<z;&BR#)?t=#b
z0u6ct)K>#o12>+1rs}S#g??*I{7ikX4+P*tPlN7zsfV-!7()Ac8@O|9eE<UH-s0{D
z^!auA!ZNUP1h&G*hxcPyg993V<N7Sbu=)h&!|lNu0@nxfTEb-mc)NVRO<gbSveK6)
z+wDE?olTWeof%u>&%Kr#{e6~@8uSA2!S3n;fW!5{=MRg;!|x*l`G>8d$xw~ysQ~=K
zsRV2c00{a<cyAT|qFg<%zBB!@U{U+|o+^g&M4-Xw|7abS@cZDO-G_euYMl29{rrOb
zP)+{I9R6y>b(JPA+Oj>`{{D_yAH&!`d`I4uX~@NjeOLD5mI8eADg)o;rmFyN@^feZ
zu2voyJhOu<%5#<e+7J!t;2r?C%m=yoUHyg~$Lid!#&HPb>C2>X9j*QYr}n^ren(%~
zHSkAAGY7vF;(K-WM*H7i6CC6brcPFa?(g`3)!W-O-VFipf`<lY;qMN8utl)yW^G}C
z+t~BzV@DDCj64AWw9>FfYLQX*K<y~L8NdIrm*S_rVV?@N+IznIxB#iweE58R&<|`!
zU_fnozkadxb-sOK4WG7ewGRS0Ha4-qUt0RH-QVE9Jv4p#c=QlP_HbZGkgjErww*Nz
z1$QTFILMiQw^+oD_V2WuEMLF;12YC52&kO4uN5hemDqMBTCg93kC3LjcVAC9m&#Iz
zt5>vsxgtTX$G26Zf*}un?h9@eo4u9KlCV1xa=&kNzMqA#5i|GsD49;$J)jQE&=7Pz
zUn$>~UXp2Ig=elUynpVbK_6?ZA`XLfyUfM!VT^j5U#KZ?BEZ2>F{%3N;cupfkC_E-
z-hiVWfUrdSexP?+eMYdj>1_Yz)~cR8w7DiQ#9<^V66hjCN%KA@{(Ok08}HN}>0s+3
zpVG_qcRRGK`@oC@Fw!)>+t|hC4yH+>S6uxZi(V<=*%^P{omTDvpfnwxK3Fq4o7v~W
z5=NnTbqr}{HIo~R=iYG$K)8*h;(gbe^1vsNMKXmEtn{xD^~E%wtfk6rDTdRh1wThS
zPUwQyd48Nxqc}TbZ=#Mp54Sx-tVm()W9?s6TgplmkyE1{?Gw;hmOwl0)%<nwmPKui
zYUJm#wj?2PBM3Oeru4w!Bde`!aptP|Z4s71G)VL@^;uX|&*#B#LXxZ0GHFZqK-E7z
zqfDw6=WmFW$+Fv5bDt$SM)#)i!70bFw-b6Q`8;pwzuE!S8(Wo9&87J)Z*lG^^PnWT
zWusja3NPSj2yh$~?fM|r>t+Na-QA^9aNH5u>L*n#e72ZcI`YI^yIpw&(}dwX7?fRe
zwlp=b0-vK^We;_-Rv^#$?lWz97bq{H0U@K9P-JygdrRcWYEUBMJ*RAop;?`=u#)(U
zqm_7C(;#5aBnflyXhcixD%cc+f=jNOJq^STnn+TbvH5kXxVe)$k&i0*L`M`h?Yw}u
z*7y#U;&tGxT}Yhe0*3l?r7N|;S}BBX$Jko66AzTJ9^KLCrmsR^7iE2-V+13q1-KmO
z?s3~528FOu!?)?3Z?n4P3+0FxYY7Fz5sm7pYayx>-o|<9l%l^8>;B71(NCvpaA!gO
z0;V=)887sO+=77E--jcRXN+ut4MDeUwIrSHmF@Iq;+g%26Hjz!Jb>-UEk_fv^Nlbt
zRK1&O;zDp{<b|A)wxutd*;Ca8HX6Y;YjAdzTck3W+<h}0DV22Xvl%Exdk!qc?sL@&
z#@AtA_A!|Z{b80Ssp~NW%_@+@md_RhTxEwLqNIoM4S&}Ltz4PKXGhHb5yqF%W@<ar
zg<B&&i9b+9+}bPxE}wH(Due##z<alZJ<|Fft4zah`l#~Hd9kL$*sO~gt?dJLenFtP
zLsuwSags-yY+qt_Sl$AV;v?akDiB}4GS$dE6m&9Wq=+sBGu4rxMm%++^&@)sJn=yc
zDBZKg_wY>Qg8^DCm?}>$A76opjv3kD`UK((tOY#Iy05i_MDXmRtnj03OFY}7@WQST
z15mnGgu}pK)L6Zg93z=nU&`vRvdjwttf_X)$WcE7N^4cdpxe}YXB1&8ad1}%JLyR}
zZK8(r;XcaU^xcADciam$!Ai=omzwrKRe<v6F#(*7;QppuH3iAeFqmk^w&l0MW`8Jd
zQ|S+r(MzCJS=CkIE3{x+$V<=Hu>ijANbB1R1~`f(5Zo0e@1jC9I+b}x&b*8i4keGK
zCIz6hX^5nU?Y?e1NJ5f6IN40GQ}WKMTyvi$osQ}V#nOvlSAuQ63DtMwCzyf)t98wg
z^B6YMJ*pJ3R$ETbK5#m!z@UUs|J4%WJ&B}>awuNMF^))GO;h>XX$lHePsT?tuOGp7
zp6>PhGYrUW1KLw4hB2T@hzXJN;v|D*>HsQf$gHZ9>0peaD|W2{$iM6#`@`<{mGGBF
ztwAQmv|@A_8-)=S*_cLTwK2ex)+VNWn!D?t_%GD%9Qlq9N*89q4EfBd;GG_4R8TzA
z+ryNIVUML@vF67~5nrD5wdSXXb@r8c;FX@?!x{=1ywjL0O16t`vP}DcL+ucu4r4ix
zjpo7PcJA=Hu3A`k!5Sdgkf*~6KpKM+wU>st?!}Ip*ga}Yop_|g+TbmmrN&J~NgPUB
z$mTY=3Y+*9!D_8%I)qSD{EbYp=Wjk>=uj~igu`ImvvhKK=}0UoN4peyoskzxq@?%v
z$x8XF93rSLxOye|swmu41333~cJEGQ^#1YqTJjEo5LU?$ETT2a%B~hOt8RI$BKkw2
zg8Qat1P0~<rCf#ImNhV+-|em?+!i_uWD+-xUF{ur649zV`Yh6;(OAo*w*#0_#F@#$
zO`UbusXn9y6<!IU`aKEVIrGcG3jJxj?SEA#I<L*yU)s7<VPSKh?p$JvLJ<_mh6I)a
zU|GBrSudkBJDXk5MkTg6;&e?ecb_kWc*^3-7L8W)RbmU9ok11*ncRtnTh7rpSIJOp
z0cF`lQ&y^-BD+TSh=>TPvf4>HT@lEi8f#wZhwE1Cq$RLinf277-wi3>y1#!@zN$%p
z2~yu4!7TlUvph*d=_HNGuNYwBbk@{*Hpj1T;AV=?5pxL9BmyS{Nu9eNt|3I@^Vb@S
zhagz<(y*m4s3QMf6iDP}rzzoFX3bD;txx;8YNaR;+7~3I^heQM@}z;rL5>2qAI~U@
zz%+3ysPwQ{hk{P9m#yJdft9ox%XIJ9k=kP<<Sui!D&P8ctCIvPBL>X2%;He1ggM5d
zk}uz)f{iY-)ue2Ih?B7}od)2~W6Yu8a%G_!^(8!~pb4A*72x_5d1ebyzTVO<SiR<j
z?Q9EyXT)fiu?STNsn~SNJ}5S?d=Jxph>PzBQ)aRCfi4`EUoALt$-qL0GQKtn3UrQq
zF}`dw(Y4^%R`<g=xBO?Gyi?CDki{tx!QI^=DmZ*EweOxI$<c{r1wYzTsy57S4-D);
z9;qifwn$IUSyn0rSe{X1;3UOK=DSj1T<IlEzGJ9-QN$s=RT(KpI&nZ#n~R44aLiW3
zc^WO$DzWI3Y`x+Y(zyT<;F<g|=iRka%S_M{n+k^MsIE9v<?6$ZFDk&&yjV0Z0YJ(f
z5wUIZ2PCZoN?&|W62N1X$-M09AMU0w-RVl~aL@F}<c10oUlbS&l+-h0)~1UZP(-6r
zqb8!S6|o~_${K520Nvqj+*3ei!gsGg8rtJym>rtu>`-?hhf6Kifqg_665|V*<7~rk
zyk_<}61G6Bo;k-~{fMatxZ;gnLAzAQ*rQ`IUvb<yU8iV&h&b(#pl6Vdj{ZuiIVw(0
zlI>H_*ZmD{Of066m|Bu$sw^XHzaL69>BWr&>GnsZ(i|unydgRiUU0zHnWE6AK%iPN
zw`zZAr!?3|yQ}tODEk(NGhtJynnfSPn|TumjIuub{zrJjwBZj1@QQ6Q;loOpiH!L)
zDvMJ^<DcHc{f2}nTg%!o)Ak(%RBU$JXvlM3%tqFpI<p0B-bpKpg+8mOv@)~LP<RtE
zpZQrV>dch`)?uN>ol(j;cO^rE^T$`U<FC0RU}n>j5It+IL@uBZK=7y&NOZr4pHH@L
z2K%uYN!94FOT{cS_3K3W|3T8M8*7uuwv5|DlGy`y>aR;TiJQvvq?p<$y@z^}!RS&>
zSo*WEU7S-bvfrlAgKnM{iFUQ*V17gu->tydwU)2yA|`w?T;FZ{BLMm35)lZ5%233h
zB3K}ccNzQ-&Vtl=DT{&-GL`p%luQSI;C1X?S<(WE8lw0K8DrUgXq4T&&n$U_nG3T@
zic_RYVBT=*PlimD9!LiE4*>zTCXK555h6>d#QU6G#x50<-nB4XhpatA6VMD<nE}$u
zDR0{*lNwp+A#CDj*DD4LMAg17L2vtJ`f{^ZGeApibi~o(rZ^yaH5iownYCzSa;23-
zxce3r^hZRmUjHj+Ile=D849i%CF6{_UKLkPMal+N=xI>u9?lf2c7e!nf?TIS>U!;x
z`Q(j_7M18dT@Sr{sA@K*GRz&0gGZgL*RGbjhV?cCl91QHZ$+Q}JkSH^ei;$P>-vW!
z%EoW4o)TdZJA}vl3o6=DAUve038$1p^<r59lPzQp9~OZ>;a<~C6A50|$Ijf^%Bfth
zTs*gaN;*%s>WemnxxAr!omj>$MIBNEQSmbSC(HhA1<bqVHT}JZ<(~Gf(m*A=b`I7X
z?dwSG^bblz1{4QsorsKmjx=Z<S?VD$lQu%))5M09mwL;6BwNmtBhZa2E+tQ}Rajs-
z+c)(CIQ78TQmd^4F}l&cSH*zRpGDqhcdi&k@A7_c#SYmxZR}(iK@YukKZlqwQWdft
zuFQ!1?;?C^B0KrAZ<V4b*-A}Q=gDF8{5z7Y+Oe^T2;p+!z{G+hC`=D8IM!tAX4ZgQ
zV+vOp7B&K%=;JP}f$|L4^1zFCpmH?`ZkJ;d@8k`Zf2D9Wwqsgm9&`t>10;V<PfS@6
zzx0(dm$dligEG~!3UdnRibSN{Zn{THoa^Jp&Vk%9z#0o<!8nKbS02oE;KF($bBK(|
z@-bPt<{#zw&{Jz*2D#?q|MlO&qiTu%wR2Nn<T3{O_<`Ap7r7aC_3%H?Pq!5ni84AX
z-1K8u@Hlo_4F>tur-o}M#x+z$H^L2mop}h1Jk8;4^)P*+ol-(pL>%i)E%?aj@4XCp
zb-9eLUHf>~|E&C4=b}3#=71GWN=cJ*$-I*++O@Mj?9IlIeX#02bwIVStJ*AE2Unus
zbW>}TH1j8%G|3F8PMc}zsB@|-l<+&f&>%@9XGD6Q#=7uVCzx_jwtr@QC@A>0fXvjR
z``V-jb>a!Ns)m&`wC3L&hW93@9|oVS|6I$E$r=}8Qo~b4{g(y|&xT3_ZOT~B_Otj<
zaQ(xOG5D`D#BJ*F`PG~+Yzy98t$nY)g>$e;c~&&e`ots?kOK*|Bx8&!oOcpJ*u%_V
z?76G1Bh|uAz1(hnHyx1d=R?uyS^R7_d2e>@eAd)RrJ1d52UW~~o!G8s1uytFZP4j_
z-0Qfp=UA!cabO+Gb!tD)_|qKWlRC%Sn}@nxZL76@X6g+ype$mx$A48mBADyq4{7mA
zv~D-TLa0;eaTuOIDsfT9$N5d;(&U!t_`Z}$EwoEtww38MO5kvn+@n<XsrEM)%#L@t
z1KosScoeIB7Rug7uO50)DVWWAZ(ihQg8HMvZ?|OHcvVi$m`M5wlg-oh$$&azEghCn
zwAXkUGY+j&4&_vtyk{>0{f-D&ezT(gu|f~bcAlGE|BG{t+Y1&@#I-{9WFw<b3DQCR
zAq>AOj*Lr)57;dfv-L*3#S_T%%)?fH_m|z2PiTOGiqPaC3ubx?;)%%yV^a@YIAf>T
zVB!LtNaCzAmqv6?9D`ltkCq-b=74MTVc?wL`2w!dLrN;f3Git)X<Eu9g2j1pkks0I
z3%}K$W?E+n--8b-uvGz$svn9Ztru)GOT<d^5@^PSH_U#xvpPp?1#Ky!%hFKWP0y!4
zGnU3n=u|I|V=J!bcsR~Ij(=~s)dD>CkUSSHY>r>L^2d-)VV}PnyB<s-lbGbw3wNGn
z4I^)kd{`$m>#43kJe5roTDD-jG8%<%*4*t(f}cO@&i%HG%__Z)s7PKvXAi)0P?rJR
zRD`+C>iV-vVD2kARy|ze6GQ2`n&`_pzo;a{N|nv-^C)^G`Jc>x1~9bRW|u>$$VDd|
z7yYuX)j%;xxtvQMgd7{E!Kk;rU<;7?YsY$OUMONfMJnP+E|MDp)&02Ut=hdC<UWj6
zX2&0xfO4(8#Q9KR{iA#~p5vRV9G4$jXzbk=Y4uvRoRmaotG)yiAQ|)vw65ecGFBdL
zf{yd*244t-1EEj8W~feJRtZXKz$m!^e^MS@Hr&ta8UXtP*t|GNg-IU=|HRzdWP!-^
z!tu-)6M59d#M^lp;2(L$7Yw%jMDkvEon$QHfyzE8Fk5YZ#0<C=Vgq5wjO(})imn4g
zXfLFu5VFjtN3W*LWRmC_qNviIbEN_gJES$oSs*&ozh9<sn}ZDowypYmjy?UcSPA0X
zR}59Ne<%vbTCKd7YZpL@e@Z8As;62oBws$|`)oy<7QZ<y3<`}y1<B{TFxE+I?J3+U
zM@34RHoK<MI*c~yVq2Zgsu{houj9!EsKsE=MrmcT$E#QXp4x-LWXet`p0Hr2Ej1E#
zY$y%skq`bj+D#yLiEAWMb4eU&Kw+W3J<c%02qI7RN^+<<tZ42yPLG#ys`mnrs>5~m
zIHqY-xA4figTBD2mB>XDQ^m4}e%?Eo`MHA{cz$)I)vIiOXRxt#q-|Gqp>T3Ghk?lM
zUrO%x#mr9Cq{PP4phn5L>+YxX=8~;|6&YR6dvUa=!{F1|>dwqsJ+NW^hW|T3@|pNm
zrMoRlro(MA7=o7n<U)Cz*0+S`wJ=Xs6Ig6z-V+ntVjL({l@IREfv0WWoP+J&1{Gq_
z;^L8`uS;J05p&}$jtx>*dMg*~kb=7-P~|aEQfz26)HAE!Xc9VeA_UsJw+sDYLFgL&
z!`^RVw=OW!WPAQfEnUDDq<t|BVN4u?`Y+crT_uuEL)r7!%;my0xq3r(<Z3ovfCR|Y
zriF*emsRskFy%=!rDR^DIE?t2hl;&KwidKRB^X~XfV05g!;aa2(C?oa2hNA;`ld}3
ze3NddipAYAsZY_YPT(R-R3)JxE60)A3vb$@wiq8;SPSMCk>dA{I_qrO1yLG*R<`K1
zgG*|esH<IUS)ufqq{l^;m3(pvi3DGJ+}$GkK|5)@G6tri@r_Ndh7b;anN}BM!6D^-
zOkkVX>z>-<cibR;Y;=zV9QyIZx^d1&FvrN1*%Qj4PElElMm<e+!I6LG!`rAr`p#r5
zGmf~IZK^M+`^oOuw3{xuj3V6>4Nty8_*b|+iaULZdJM+8Bscbs4#@tfEVmlYy?V~U
z0)9>z6QQ5y*xS^hR>5d!3lswLjMMcY+Rt|@V=!8I#2V*OBkZ5nF%Y4d>&Pyix9ioN
z3aH^y&xZ!+`ZO$C>dIyFmOXYoo-wBqf+}rHv4Y6bw933(+oy}8vLfWLf&c}ol$rs_
zUF-5$CFjcL2&^G<4$u8&R5`4#Ja}jtdB2#yNHAPxTzJ#+8+_kS8ZtX5HpC*9A?<SD
zY>h7v@e0_FZH{}<pYuXii2zQdz|3P9hg;!p-UsyGB)l!fj@z#Awx6ms*~xFZ@q)a`
zV*$SlP@#=0TiW%TkEYI|VmM6K0!o0SyCL`!r~>C+cnm5R0ae@!NF!^&k&_<%kCgl~
z(#;4qwT}i03kllFDx2KH#e&o?X}DDUITYMqo^|ZL*Q2T0qN@BcauBzXMCuK;GCcdf
zL9)W$Jul8MoE^CA-WipOtd2+rC4tDZtDlPC)?Md@b}Ca{nu)GU&q86`!*>f*K+g4-
zSYnjFE{nXFTKnEL&mF<cOf8WS;~c$3h~+p=%_!P021ty7N9VGf9_-NuO;Ud&tayOd
z5^v~(|8=*zbNS<pevFu@g_E)~Hbywo>q1U7`&6e_ITC5WhKgLrn99`~F4^T1yjK>@
zTFpbtcPk(+OrU2Hox!_OF4*s^Om1~|zqhm_1`hbS!x<%Y_VD|@>2zr<eIqh5=ajab
zO(`3!MRrDZB*D<Qa*Bym)jlqw2%%Ak1-dsFxqcZUuh$t(E*Gzo|EWoZ(~#&<`$PgR
z<a@klXME~V^=Oh5uJcruduQ6Hj3~+heYExx^JNz;)rOBNcI)BT?VmtDsf*a_t+DnD
z%WX->X5=caI2a?&AC<UPS<KASrY0puAfsXm7IRPc)IcV^eE?g<pqlw6b562mZ>(cK
zaLSL8y%_CENiDN_`r)KiyBvg5pqQPx*c{&^vtOdDd6Q;5=_hgRk4qny3dvj<ab$g{
z&LQ(Q$K<_?q8fLCSv5<SHQo#QQpIG;h(tNFsTJ~<06tvD91;$X``R|azFuWoB7oUQ
zBj8O6r+`v}iOE5?zcOxk{+hp~-cLo?G#H#UEF1Ktc5I~>C{8EL0g=`*o(|pDuZY4%
zA5FTM?}^f#R^Sa*VG_A;!1l{M-YA!X5zwzav<=|HvMI-8Rb$atS`NmqJ1(hQJEBdf
z29g5@q7$ADQQGU+`HNF7+O7^6DTY3WZ|I799vpCdZQXBy>vh-gV}7vD``GF|Vk4f$
zd|WtnZZjiS$xDO$9&CRRCMut46iQy{U<OYPsXS_A4_o3D=>-tfUX!I76ySYdZ@Ph9
zsW_gR;t|=)DsCpS{aVUAQ{IH>oqjms-I65$Jv16Ao#r&2lgnT!1UdI+Mm%`sU7b_{
z5rNid#D-&a1-Gkt9J7AjC3gR8;>}JjJVV5STx6#)6p9>U=axp8uRxm>?Oq{vQrsl3
zPo;#?sdA)SObgodbC(eetNcLXW+(s)&eYBDH(Cm+gC$`-DXpZj0t+|qgr@7d(zuNk
zH)8TPJl-899e8cG>$?TJ&%O=(E1l%g+dYz*h#F94sOgkH?0^~L`G!5*z!cNSVejko
zXw}wTazRWm3Dm5*+5-LZRfG!U0f8EnG|B<+6*Nhg$PF<z!78<Xk1)>6_vnNymp6mp
zhg`nPjuH2hZJlY$qgk>w`7+3$ZP6<(9OK-awryt)dvj)hrJzqz#Rz4CJ!Mtt7k^(K
zhzzLFUecJLEK0F=+zXRENwuC7Of3#p`<i~xi(Jd0irKOd@-Cbm)6VfYN>-<#1Sfn3
zY3_#`qyC~&qGEW+VP{&W9I8I^rv;Y1_eAK3yn2IiXPH$f#^{Wn*3`PIucNYqr{0H&
zfVxT242IG;z^6>j-*JE9CS&U&4Km>ZelfhYp5(d=;p94pG0<)fab!v5h`kY;5e<3B
ztoSVDLK}_!=((3DTGD!tg|-VxaFTY=s!D#gS|TsL_H@Pjp2k%V(LEnh5r)n)fbm{Y
zdpN24L!cs7@gv=PG^wC+Hg<$)Hk>$dY<^Gof+!&>3#IK8s%-#kMc_q5l{jDKR^}+D
zC^N3gUf&)n(f3BZkyi4C!<9xB00hg4<^%5!&ao=30@QKCu{F_EQ1xt<2oomF##Jb&
zV@gg<0%>X@4YaJN24>AH2a^wDvZxNWTQtRB(|k(JH6_x*=Z<|`Un$ZSa;|^lcuc(;
zKL~SScZ6&bKJjj^B{rOSxR)ZcUcpT4d_1AN2<PyHk^?`@C(S=r%4-#zG7@70VPtGo
z;%?Ta8!dL^-%3=~{m<aFa~&H{f_5?<<=q$@7cDU#WOqR<8_1=k+66m|1=mOhdma@7
z1Cnj+pR3|UAi#H+vxP0WFfysLgfCO6Ua)fa+swiOZ)7#^@eF=vy?~@g#w&vdXcr3a
z+Zi8+GFC%#;PtBSR5k^b)>WIMA~p3aF#S=Un7@k0j+viavjyPuiG3_2{T0J=;jP>+
zakZ;9HM^$sq=GW?dUxP+Sr!JggdByXY?a`s1FUTzo5+0QaOvZNB>638XVJ<n_+6om
z9KDtB$Q~KLG>Ky3&zaP}P1|K*C=Jy?8f6R1a`pQ_+Lw5tK(o%l*qDGUDqbYc_vF>|
zYHA;$150z9UpgvDkUj}z8+4vRDB8}H!soyd+h&*n`Pp{0P9CCsmJX&CI8?~_#97ua
znS@>~h->qFT1g@>2<IMuv4ia}W2SI>zg1y;)*rSNwGXlP2y8VBP;oB*1z;CVrKu+c
z(Tt|y4+4YGf=8zUi_h9x;L9Zud%_YYy%L*snCqe&7^(sBh{S)^By08}Fp4RSoE(4B
z`lSd7P^6qdAhZ?QVWdY%`t5^yX)#{P_kICXX5dc#3&Ozs-w*~?R)+u4zcA3Vv9SEV
z<9{*?3=Hgy{}*C_q7yZ@ax!tirxUd@a551#F|su_f#T(ba&&SqF|dYm+lX!gmCw>b
zqlxMSBNIPF&<^bE6oOdc2aaZ5X#<1BrEU|d195c?=mbp#fu`+uKic79N`L>Yc&(`H
z;kEqa^}H4mE3O%)G}zY%OK|q%*Wg%Z2LV*1+<?l$27rUJVTFUEW#;6xreA`4qT~2C
zVH;Zqy#he|8Wfzs014uqEb^Z-6+#7v;GbWH>l=sNJ3>D4q8aN4+&kDqcuUO>Y{cis
zJOgV1D60cR!NJEzXXc~;7n3usOJ;fEnC*=L5OpL4DD~^JOzGVMM0&wDt>Zudk_Qy5
z7I>M(nD%!8p!wI$3UTqSNAM@OI$vH)z{SPY)s;1`8#*(vF_|10x(^4Y8O$s|n}5az
zAG+^01+aqObB?dNK7Sstsk)!mm#PVyI{${>6k$(8ADk6jKs!fAn*a^pw9nDSFC~DH
ze;N_weN+A278tFMFBN#t`0&fM&9}=J97yQL0W2evYmEztAV)t8wGYV(9H{L75Oz*6
zngxp*ZEM=@Y1_6rZQHhuY1_7K+qP}nw*J0z?!$dL$$hEp?60zu{ZdJ#R;_QGs!@<P
zj|PZf=%AHwZf1CY9sdjhY!i4o2M$1m3l*0<2LzPM{Z-13;bc}vyc9eQZvEOR_Ofe`
zQ>y`CNO-JohY%p3Gv~8P4(AGy&cEA9{>eYs9L&)s-1QSo(~tOTa@R(^jjQ2Opij1j
z0Q}t7I_Ho1PrQbI9*{0PJiHH`56~Di&;vuO=})%6<|5KlYQkgdTRWtlofxE;-?0-m
zfnFWy**n7YCiocyh(NZEV9$;(6#zTm!4ZU}??m1YYYYZf@Kf%|jB)J2?u*CQtPXOI
zc9i*>0~n{*_lFOQmw9Rc*zoin|FKtes)mR<znEh1OK$Q<RZ^169jHsA-2=Evy9)<M
zR+bL0@A5S8)^}6^GT^8D5J3+-tQb^a@76K*_FRv&^Lr3@#1}mX`k(zp88;{W7YG9&
z^ehCY3+H4Of9A)m<LCI{XY^rL0Z=RQvm0TobA1I^U<TOS{mg@2_q*o&sPizdqJ4CM
zQ^C)60=?@g@y_j5R)RDDb#DCBssh7!?La_>Ei)HtaC)q9xC2rGb&UJ*2!6RRENy+*
zt$fk0zIWTX>O+Zd_k(|Z27A05?7iV{KPIGa^7RtY%`SaOf&bmf|Cyl%Wpt~1>$cYJ
z@&d|hWS&F0_E?z>!`PdC?@C4|i0vJN)i(>|5XjX5n&tffp~20X_d!UB#pt8E*LuP@
zI0dP*0$@XTLDYf%1cCuwo&1P)ea(*b-?U%(O8BVF+TKGRfz<^9{ATlMfBd$9Tr2ta
zoUr!(4bGka2FuT%KC^_zpZHgg>NVVdv%+zH{CI#|Pyb~^sr&@^ez+fyUN>vc2yfaU
zn|gP>H(OiF>+kQtA6A?>kPq}<t5%R89)45v=%+YS!2vcEfm*fHq`DoAKKO?R{a5^v
zZ36R~DTEH2^H531J)EaAvD$HG|1RcuGy)F%D&NZcRdeG8SKOz`Sry~#>s!#~7px<P
z%?^UcuKgn$s8<n+W8guRY{P=l_8kgO)LwtxTaXc<moDBmVtG0aJVhV(_Ne0%GcWxZ
z5Bgz8#)y!eoSu&O{jyCQGpA0iN=VDGP|I`SM8W5lCP>}xl(@z|IoQ7XQJnz!wIlA`
z-Wz*f<{V#7pV6>6EmmR71)Ns0d6Poe^Vx^#KL7hGW`4><L@G*@Ldn4MKpJ4pttq%z
zq2QyB+e43~YxxcOJkC`i(h`a_SW-V%34eZY5;jb7Ektjt8?tcIz{JUeq@nz@1FpP2
zp4-1{z1}9tH=z=kct5g1Cy~Bb9!xWM?*4qCdAjqMm3UG%7%w=(sE<C*_CV`9O^{Y)
zZk*}CotWI`V4f^1Xob+i!-b3HI&_XZ3@npp3!ILy`!*kz1;mj`;Bgewo$TLzei`Zh
z0-9DqoZycaxrr0XIr9k6?cNthX@Bi@GT+|UP!WJ-H?b5W=vuiJTR9*);Hk|1V9-0$
zm<(xShxS$+AIdzRlwPz4Zz9Mo=E2yKs5^cVUPNEFPn%b=k7n5NG_3us$lWV_igisV
z|2r;6c*LbboZ^6VX3}%mE;~PRLPL0vo7lCx3j65tiCY`~hr-fDIrU|wO=p2@McdD+
z%tEemxnS<$Uty>V2J68PyuPZdLYw}~1fSDmatC@JIznvvM^BmS^JJ}U@Osf(L-LQp
zUc;fM9NKhQgg9dZY36!l<9V%#RuO<U%@K7G6AqG;zjgO`MxI*Xq}S{Inyr%s4M<s>
zRk_+@xyQ30zR~#&22Za{EhZEd8uAAmIuw}rdTpnw2m745n<DiL)Fo*2k2q&VGoUaA
z(SlG5KklI!(1%K&)r#LBS+N@9#s4?-1;TZqc)FCN9;jf4`yrZz#HdNb<dXh4_XagD
zsE6YyPvVHy>*EC%9s2ph%6fV-F}EUTzz+yGIl4MLTZd9A3knXw(rLde$j-{AVnvVW
zj3Y*-H(0{=y=Mjo{m|L@11^9Nb=2o?v0kcDRzAogY~a4Fz5?_K-_1(2^ta%&^yC<K
z<ndri+508Mh_m304VM4t8%TPD-!Jd)J}X0Vt|T?0$7c*@XoU4O3f=qnh^+=>XUGG5
zYbV1Jiq+Xtnl;e9iKvFE8P8pCM>st=FJ!i^U!_`7eo>c<5c`iERERb6a@Cqg)OqOY
z7b-16lTitFQHYzb?d=rw`%^P7k`0J1^?Mg&&0io(bW#(S3~uKrGWai5tIs+|BxP1D
zXRdXJA7Y8+<khj7LAe)(&U(E*3brzdi6W0oXd0egJVY1~{&_UuQU=MKi&f?Cec7!?
zm4-J~8{RLBHGBIy71|QPgq_bML+j=<g`$2CY$(#khuG}%VxEcJ+mSJxa}Fj7O!=J#
z%DQ?9KPBo<M=A=+JhSRtTXoIldCO98l}!P-1Wd{<--l|z7i1Yi>gQ^uO`yfqSoCbX
zyl_sy!yuLn;7lAlIZOCVtR!3XYjWiL{!Zc=CkdI04+a<SZ|>kmLroy|Sr%=-=?wIR
z<sFRDW~1RZKSQ>l_(N62s&Q$aTzM}dFb&T1k?udEqipO%4nb39YCHzYkU-ttg2rZ{
zxif;S(OXah@zQHCGH{s6iQFV3(|8Woqk`|{$zB_CO{1!nubsi=UIUNkQ|+*R-Puu+
z+nBHOZ4K>9&?3P_$m(cu*d4m|j6YwT$l@fEv6hq=cWF^RN6{luSF3lpPzFM~#KV(?
zq&&*sB@j}_>*&pHai?RPpq-<au;9Gaz&};c!%;KvSWc+Zvm^BFD#SH|^$C^X#6EcU
z)8Z<)%09q?-xna+YqzGV<8#Yb^h%UPZ<2yJB?D8zm?PW9Gwif<;mA6j7dej&3Itp9
zB!=W{Ujw%$kAaSSC4zfnIBbBesh~&GAZW!sVO-P9K4{pPjC!F1@!A2MA!nHl<^TSc
zSWCXrj{O3n4d`yVr6v8m8W~?i??}L;u=5XW1CP*UjeZEnsjo@j1Orw<(S(zNSGcm1
zj>oD>bH5Ljd<BD}2Cc4d+$G_fY*rv;^#B2@FwOR?GMHv|v+{RQ)h#}@f+snoY&y7&
zew%;fGqbu`n$#}STgti6SbZ6wiE8n{8b3g!pgD4Nr(M1R$m2ccrzDg+zb1dh&#$Vs
zsm&<N$lSW$pbr!ho^j<R9qhRF!^UUaJ6*PA1akEmFN495fm*3E@Pbmp#Y^lUKH@i1
zf@=4uxn)Pisv&+LX~4Q2fH#l0aQh(p!-f+|Fy|N!*+ho9e%#7zghKYw{XMRD*y$DX
z7S#0fXLXrjlAauv^@a+J_O(6NOPWrVk{B(LU^i|V=rvbLKp6_fk+blXj?+C2VxlSR
zr}`7ldGVl7Zg3*;v7Oq;H8|@}l(8ie2-b>Tplp{iVh9hWsk~#QOdL&Ge>tPMWSulv
zQ02_bFL^^Vh@`xA7C#3`nS}>Qmq@A2Wh$wSzOT`1Nd^2=cSflCa&^$d)5+9NS2na<
zPrGuMky!YH2iN>PWL-@ytz}qXqf+EmCx83lXK!#rO5kd(&3)~mH%#%wnObT2ZvSH#
z<g&kU`;1Y*N1Qe3R`@xi7jed#aKgFMQYt4|hH0WPbMb>%`N~ib2F9*a3gGZR3){i#
zozyD9w)E1^x>`byB!-s6H5nWQbEG1!Tkcqm_4CgstbEX$z<c$X7yr|kp&1^BOqi-w
z!;o)5t~@yw{IMI1<iCKXZE_cgGi0o%nJ@QP;@S?CG%~zmr~s}lJ=X1T16`Co`3=l5
z!>6`$bJaOwcPLkf&QnJSS!gQm%TE65u$9!Pldplh>TKkt{;_{JdXS>rfWA{#7R6B9
z<VcYnS#;a)E2Ac(U9^$;D!D@sN*!ZLZX;|$|IQ%W75WL5FzqlH+y+hxgH$oV{?>S4
zRIIYSm(&Q&XM$L&<K}qmP$od0EfuWI8!6iRj|p&}NI<t+mDx!E_PrKA-mN{JF|s16
zrDUd8Z_SuWEB~>@(1=H11Nb1&M5N)~+PXg@&5m#W0t6aKq_^2}`^s)F^`td^+ilhu
zub8^d0}MXQvfAJC3g}wt^gxbKCqxcy?KN`FLC{ZJLQ|1#Jo3g>E*#_5@3s4v$n-w>
z!;9z&({LyIUog0#$mbvTK%1&oQ*z7z-Rmx8%3COO7m!t9U}rEc%cd8A^9)8|_pj+T
zj1hlHt~MAcU76wa$juaX>}5LcAO>7m(((p<H_pE`gpEST76#wySCi21^?JB>w#<wE
zW@iN-<2?ChL-e1fXY6J9qPEvuTV{c>?K0c=0xg#i_ok@Y>;Q6^mj|}}tR7heS`)Gh
z?I1pC0YGkWpwDfnn04hp#Ks-RmM<OWDro<UWD^zXJw^&K`frZrSqdKthAUpQlP+6Z
z3(JIW_26gAxbbf*{BElRi(8N&5<~tb2X0h~x2L%=PLyb)6`)YcZ;3tsF*o%U7FeH}
z!(XHHkJ%wM;yEXd@}&dIo}-#_bt!9M7_}%A`J$5p=U33qz%lLvOJmAQ$C2w4;%F{@
zJC6%a**SPeNG)ubXVHs%u4U#>6|t=`&cE?oV%mK>EDiYGP+Bceu{<@|6=abSXuni0
zb_%(c!%(lNJFWBSgBDQPQ5}x(IPVVKqiV3q6s>m>4}JS`+(cY0O-1)>hos|jW{#UQ
zO)bJJkuXuB7EL0;1fn6<ht)=M-1K9iOzdNK1jXL1za$ap>5<fRwA1eSw(<c_bcTUA
z)Rah@H(`-M<tcbUZc>OtUGmrumD?AL{NKDEgGzTk+$zl~w5C9TCb4Ns(VkKq&V0g@
zv-&UaAD0Pu4#;$&f6^dM{4E}3U?SBfWOCJxM8sH#9%ALtoU@cAz!^X}pOabh|1QPU
z9KQPfYmm$<VK%$pNO}DBCe3M6#w6}=Fa;%R@;Q`POgmIEKPp3h8m@n}hHObTp2mH?
z(wwg~vY520cxFY)9eYEL_F#FV?f+Z^8-ZVHMdI}tc5IucvqfbClnX<*m|UEx8f#sV
z53v%7JFT6n;Y&w3>r*&hbS8AYP@*t2#cG(lNRfft+la=dz^+`-8RpuL<$m3}vv02c
zj>zk89Q-Xyd>k5CuH@KqVx)#GwgaAC#`h;<n%y2@qK@ONQ{-Fp%~lb4rL*aKEvl<M
z2c+N&68Y;3{&OvBa1~rVxma&-(5X3OsmD;fEj;`W8Tm<7^VEP1>+tzTN7!0>dUed{
z;J`h?hqCWAqcwB>BVRgI4N`IGE0K}_*;rfE&_d_3&0+`mrML+G<q30bpY-UWPx4Fj
zsCjo%XV>mDShzaXr~WHw8bbOCu00WRw25@>Z%OQz6tt}aJ?mbczuq|d;gw68gI5a)
z)Yr*_$BrAJ>R;-;vx8gBr@K3N03CT{kb_(I%4xpVHSyXXRAy%NwuH_i+(DumTvVbX
z-4MWArEv(!XIaD2rPZbLJlFnP4~F>*2FzE4O;>x^YTr1i{io=T^GZ_6*&&)7{S7VK
zhWpXSulGNkhp?^?6cIa#JA+4a-!o~{Shv)TeD21E{+`Rzf^TP<AL%f=c5p1|wel(R
zC%U^K5m!O=pIa*uXctZ<U{kP{NUn<QQY1fK7N0J0f?9vnwXK*KI6AtfRkL>!imD`(
ztE^wYq{g83I@w^={E$7jM`S}4LkUaHetWRkJWL(v4}A?7BsZi`k=eCYjZrDN^P^4k
z@Y9T$*&DDJj8srTkBc;W$%57(-8yQ-v9xkDLNO8>jLVB1^bkYL3#o4fnU}d1e}UNu
zv#X1fnz=-+{`!C_HT3<ehu`{HD|z$r$)7mu!?oUR-Yn$NPV#Iv07w)YFpa9R=<4qO
z0_qtHo+>JsII{hjhKBV71~hy@XMb@-n79YT_m2O9y@-Qb<J>`*0%1Z?qHk;Rj2HXe
z3y7=W4Og)Gi>=8VsmA9W?ZF0a<U)*0=0((_J6JrmXtxEt%clkA&m422H+l+x&O<4+
z{*MR0THkZfzyH?lB&125KkOgI%ClT-Gpk2(nyxd9VYx+Ni>%IN-Ob?YKv2BQK=@jt
zBO>c;mQC)t`z`ZWk2tbs_x*zOUiJ)Ml%N0gv4?3_e=Lo>*9Mko#i9^~i^0F@L%aL<
zIHMO}duv9Fz!EWv(<&vcM`mBRFuiYP8M|G1o>dPx1C<Hgwub>^o<(?q<J`fi*}S$c
zHebY@+w<{j=y$!qtKcPwq$VB^2o1N|ppVt2GFHF0hmsWYac_QSf~EfDg$erLSgaj&
z`P%5w&TuBQ#AEhi<qgzIdB39C%_aA(+Typp4|;>k+eW_yx^OV(<8tDAwPQ2cabmDP
zBNGjXe>{FExW@WH$IwV7EA;NHxOf)HvgG+tfxVyhq}H4_F*D8*2oJOxN2ITYP`?8>
zI)<H^AQr^@t`M|~$x<)j{W>x`_Ae~Wepe#lcKM8OYkL+Sl`4)oKtz}Ov1Q8P98gFl
zS|jY|Ls)+5kS^#ZAoV7|n5O+L3EM@zlwA+-0gn6NszRvkaJ4G3ck@A!YAXKGqS#@L
zyrMeVS{zf{IqFvzN1IgACC7{R4i3o(H++HK2y>oNWx|nPkYLS$cSU#|ll-S$f7u<q
zOX^VXk7Ifa&oU<m1jH=PB~U3hCqMn3ZJ{Qt*XMqeI2VX~tfDp1LZXmAZ7x_nPvFnu
zuqD(94=bSe{UjQkGo)nRDcQ~q-!w{xf9TVP^s^wpQ&XhwsIFTbV%JvKa{)ssd%us6
zRS)mgIM|joB+I@+cVDy4vJ>CKtg05QJH{C8K&ZtWf@-fY?sxp4U|h?tgC+My+-Vvu
zq|&&Ea9n9Wh91tjV{-i3dTOSK?_f9~&QyOD|1uti{cPBN(CS3{h{E++z}V05ssDSE
zp!|+;-+MzK`u#Np({*DPb+mn#Qn?xATn4E~K_9SEs4NlInS!Lpl6{v|92!&Gr73vP
zje5^E_EkQJaoJZT&E7%uAnyS;R$y1|fDJp~@=WXGSPpwdV>-W9l~j$mXr0;!X-eR#
zO&_=_(Q6j&Vd%btp9bzBt$u+>=^M5@xcsI<5QAIMI5nXLueqURZE31XP<1XBkRyMt
zk<j*v&$=d67SjYlVW(})+Ru+U)swEQtH}MWd^f3d-zW-#qEX64!-D}^T?Y`TWDP{E
z`2B};01R4n1nF1_E+6cOcEPwz-%R_;s?WjSCIJoa2y!U=fB@^>8!MxkWY;0OUS@HJ
zohi1=LV>xy&oX%S-ja|99<vf7(=uY1yced%63?w5JJGD9cz+OF81jwMIuoybXdtXv
z2`NV1mX)u2T~NimWAj%{eA2qGvURDOEh~dCDNcp*;swUPokIc|!;hrXclp#7PkNCD
zUGuh(M_yl4;m@Hxq^<Erg-dS#mqfEEVvpfGkigS&ls09D^%c>0N^2Y{=$LH3_AZ{^
zWWv8yAeB8;vNxUFDAx;~P%zANF=_Mf?_?-&l~jm9*eA3rhvJL)&pb+KQZ>R<X^;uV
zKl{9VOFIhNh)2V)`uYWxQIgsvGf*mDnwVjC!%UtV2P4+AMyHw)-nRoo#!+frQTE_H
zRPSxS)B7dz)?4kN^>N5=KG*d41kkZp+oUXpg*i2*jYfBtOKYKLdG-tSEzqyBt$0HS
z6F>Rp!r0GfgGjeScf$&Vs6vCwR2<P&-QqryE%o#Jr3d@;8&nL3FQ^wa>pzPT#?pf?
z@{ttJ6#Hp4%ub~z8krV$?K@ISV<eiJM)YyS^DRyH%ZfuR#x{tqBHb|Dfa&zeKj}WX
zD2Zz?@=XjCb1j!>O~NB;7D5zK*Zo5Av5L#kSM-agJLnX~L>J<XC3(a#Y|h}Z$#-#H
zT=1#Sd54^Gip6Suw#H3-jeeoo%^INGo$_`%VBE|D_2o5YSoME?@{~Y)I2!aRw_T(S
z#iU`pzIYMl=Nk#7+;U-j(6sr|n9%1+D(a2WZa;9|nzVWkpsa8l;vPgbx!tx>CAbZZ
zBr<Gj0NM)F9~M6wu1~smm5ZT^WK~c1`jR~9pcBcp`ky6+mT&h*s9|;Qr0z(`sIbb^
zd%w)-AEjm#_^rrJEvZLE%7UFYle5BbEroXdcQkcu+tAXo5-Bt8mt?bY?#wkV01H#%
zOQTQcIW#uL@+&4{H)`Eat?AOYHnrh61F8n2YwM{2<bW=bMEH}Dq8J66q{(=-OcyY=
z3e40J)6AG7IjC<oB*D_Hzx-UR;fOaP^mrzYbyGq#^$>9BT{2o1O|;PZpQ>NAJB%BI
z#)P59(V@bDB+xNKmM@Sb+$BLyzv6Fgv~2D8=k_X#&=qK)JAsC@6-U|fwH1U!qa|Rn
zL=(yMzS*GaA0^cHEhoi>VMqDqd}fcs@yx%j*xHIe9k01!VtolIo>7bXE~uz$u7vLz
z3Rqoe{xtPjmvcYXU`FzDvYfWr%I$9pcFhx;&HQ>p-TIal>n7Ve^Ng=QOqqq(MS5A}
zGGgiNvSYvy%0`fA?U;UuQ}zLqhAwXS=#=z~c_2+>Xh)JP!aW&dxQ_2%EwLD=Ih>Ky
zd+t{-3GA+)g;8BN8Fm|O0z<;$zJK5*Vrlxa)i9cy&3Bv%*>O3mtD8BI`_ms0e3;v7
z<}H<Fn_nnRZn&kN&jzHj9}0Eq8fT$4`Y__6@;fSWjEs?b2pwuJy%e9CFm8r>5oM(#
zmZyU9Wfxv2<Up1eae<+IEYh*T>#||8o<?a*Plxr-lxp-Otp0VczQWDCX6pSWYv)L2
z`zqMg23De>BlwJuf^ypL1he=f7bgN&R^8Y1F%T2;<Dr;^%aOlDT}h)mq`)>&2`qL@
zomU;f_mUNG1oS@wy{!f!q@xVp{DLVPAe-co>SdqMY#S|B344blMz}E4fI00<ZgfFz
z6zlzq`2JWLXY%_rgpSgC=|?0?k!x?aswr@G{D6H`JIT?mQ=31i7AoM7#-^aZ2Wx|a
zdi%QG-@=KfySlMFBbSi^j0=ni94f<*=5q#>@Ir=bXBFc4!M6`w<mjAZl5Fq}bduH%
z?ZHoAnWt=vOcL5jA9sQ;G9@d}bz(|f5}CmbxJNF~ojlmLe!F@@QfDPrcFqnzWiUIZ
zd*FB_7PMII<%@eV_;;m^)iSU@($o~W45u#WvN4)Pk$~2}U9yX;0hxEBjgZJIAnHcn
zNQi4X2PBr8XNC1p%!@z9!c%_COC)Hfea7xU2tWV2-V4u^_arcg3lMU2rWf@297#P+
z=l}g1&9@s){=~HKxqy`zM?m$Sd!nSEhW0p7*UlX0fpF@fD&eyNu%oc1X<_c8q)Sp4
z-PT8Tbu{f4*AwM5`kEa;c7-P(X*;j(ZpFM*L+hOX;5XpXV9is1kZ8uV7Y(@()D>jI
zr-9+MNk)6fN4N6laPjG;(y0B!_FndQ|9dA+^??&hy!CwjWjXUY!*RdZCHB~4$C?*7
zHp0#zZTjEF{Zph_hRBH}w9Agep|m_HF|b|!&eKjQGL=-uvv;p+)*OmZ`gk1&8gpB1
zS|p;wFYmcIN1qXyU%l3T4p<7e7Y0$Vp&ML`CS_t4UlbgaYx02nv*&i-rh>F0>nctW
z206pj!%m?oBR!tU?dD!DUwO~^p4mK6dX=%0XT|01MNT_}3XTiqNlhgA78lIS%Zy)#
z5sD3(Tx2EzzY3Sm`>v-xxO)zrR_eG>;kB>9*@Kggw1#fxA7N#M;(NRce(5jT!w|BN
zai2$HMf<AWqr0;covu^Z(IGuY7yQjsY*M<t(Cr;a8o>&GTul`a>+1!M`WADQ*^MR0
z9f|2us<IE#Z_{76#YQvPCF?Vxx{Bfy{>j1@tdPI#EQ`NI)iR@vO%}nG(5h7dpG`CJ
zt>&iIz6>=#adN*jw0<vlJBq>Bb3X^4!mI)w9Nc9#)U#5VRx|qBGN00DH+K>+RTqg$
z4tvCC^0fI8jIMbto3|Zl-bzY%Od9n_c2~ND6r)s!5*-7F%#C+!U>3rcU5APzg2tUj
zcNvE<=-s>-+AMIFow+_}(dNxM@IcD<<)>NCbcVXsrSLVx6d2}j^@-=+#Zk$EW%Jm7
z$x<G=^t0@vp{5?$Yxp5Nm`GGsv^<^O2e7xnqfuT~MQb6fZM-&!14c&Na0dp!c-LvU
z$V7x4tk))5`_Z%OhOzU{m`8le@}E1CR{A&SGQ4b@MOlWV-!vGXc`s2lJ1$4sV}0IR
zah3Qpf`C!Yw_MrndYghgCUGJet2(m(Io6zou(_k8e}B<^>auD)NfIvoGZ&P4Z@Us@
zL!}_&zl6@`RV<S(B}fNE(STFs>@Ct+;_V>M2k*;1W5~^^9>)9<@985VB%$_5bBWA9
z<k?3uuS{^yy9cFULHp0b4eUx}B+HhN@$gx>%5CS~4Y^ROnc4p!m!hSio7p?HfFGGt
zR<}_TfLUe=R#~CojqpuE4ebgW0(aK{gHXU&sR>=mf6v<9_syWI&6@<Jc2T*_c`ci+
zdN`V`Q=eX%lhNFS=~B3C7oJwovo>F$H~r3+^S45!T&>*){I92$-BJ-GoxW_<@*Wiu
zErF>eyt}{H0rIRhZ@Qhb0GFDhWQ;x`zOZvNixnjjW9nuZ=m+QUv-`3CNSlpE$)W^O
z@_V<c)=drB&OYoe&aKKWB0NC2P@n`T&|SEJ<HU57eKfAU?%@f9kC<-K7Ree%Bt9jA
z+gsLBe;&Sb$T5#n+agS6MdS^>6GdY~)z%N`RIyspnSBjgdwWawCDESXdeC)3DDf<P
zlB0l>%*6DfskG6=p70)-^`)!1YzJ?eMM?DzG990F-_$t>=nt4)O0kjBwz0%?(+iz2
z*~n$q5s><2$1JjZkV3-!SO={j)l_S=kdQ-N&@EKd=kz%~l;Z0wikO^Smqul3xP<g9
zAr~tq`&9$6V;=23m*%|E5`yI&9RSs_E$)h)Q6SNea)f13JAh~ackv}SclR}R{Jl`@
zVb>6I*v#1xf(`hA9frHd>xK~S)ljvmH2@l0I*`7CiJd?EvX3%b&NhY0cw=?po>+yV
z<{$SOQS+=Y;hS$1g17CI!dLZIL~@zFv|E&+VLlje$TyAX`UlV7K6q?B$!6E-fw8o<
zq{14>o54ggQ|5zbXuP~X&x8Y{xU#2F*RJ{;383;FeV;*#*Fe&IE0WP}x<)EfzI7&~
zvE(JVXY(+#!&%$DEWI_{gx<Q`Yz!*)WwgVs0H-$Iz&kxIlvuW$o1*La_x-~2qq7as
z&lK}^24I3X9%GN;v03YF7Th$9P&$bhAXIc*^oftBMToHq4PIOCbXEJ<+n1UPoGm`I
z!!`99z_CQ$bL0Np!OYgfCBqj#`xbH7HE=jaGrdn3T-4RYnGz}#n*Xx$bn^|*ZRv})
zNmx0~`Cc&V{cc5*-%PDmC`P-=Y$$yad7dOW)RGD4mJsp^q`n*qC5K#3Vb76t6*bHF
zZO=lPOa-EfQ_J5m-CDF=){I}?I<3?bqe0}miW<(A`<bF~bY34NJi_VsH;YW7+U9RA
zoQzgyaDX1o01JOzhn4Dg_wzccI){x3YbcORBh?>j+#lNF%cI46(#G#gOyvU9U!Q{0
zh1i`>oGM*)xo<T68#0p+=Gdb$%J!CkZ__)M+<NotR|l4XuF{R8nnKL%-t=?(&Dej{
z#-A7FK~3f5RD;d^bg^8SHw+pW8n;Mmr5-YR2u0$>l(Gn3N#&S85C{A)<OgeNUVn8&
zrB&%ut&sl^nifXgEocWjWVW8Ny06TNF#dg<k}D@IIyY;gfWqg5Vh%MVrk|h0XC#r{
zA@Y|1xj<f2Nr~eYwiwu$QqMmt6@bl)<UM0d!xHB+YwjM~xaM`nX(-(RCxOcD72g&u
zyBKl0s#56@NgKx~*JW5$Estn!G$3S3xSmDhprf|LfM&BzK-Fex<YwWCfV@!H`cC+i
zp5o7`vH@S{Sqf`?)cmLy!f(rY3NIe5;+cS*rgYqTmM57@K(AC`vTj=$H){o<I4RLp
zf)R|xzUgzTM?GW>j1)3LA?ED)5bWl00&Ku^7$Qbzs>(+Pu*3xMes<`taD!KKb?>se
zX+k@bIRTm}ts{&g94CJ@m$)SPOx)xr8ZeeUZhp}6gY%31WHuBwh^d%@fSl)FSZM|v
z|AH;V@btX38?sbymI+tt3S3E`aCDT3Ovv|2C{k#+tC!Lp=VXEK<_}X?w$5Gf!HIn2
z|6|vY8}iW+@*Rcv<AG<Nd>CI|t#68$=ON)(a&dNrY8Efx7OHihz#_d`p0=^T=0x>L
zzQJ)n^D%ohi^OXd5&==qtYUXKZfOspZ!4ywYB0IB#CQf0_tAX4aJRW6Y}z1-L=`uo
zo#?h;pqi{4DQZ;otJLtz5Zj}VjSNZ<&+?fXU+oCp8KJ~&CR=Mm&GAq)*popgf`8Nt
zA*5DmhdVMtAf~_aJ^j_eY#z=CclSn{&U%t~xBFoWn`SiaCf`Fj?2;%HSdvd?S}^gE
zcZ-<h5naLRQxPkmH)xKR6xK-gml#j6-jva~+F@y)CB;5BB}bvi4^~Qo1CZ4f5W>9^
z8F6S!xMbI{JM<y%WCW{Fp9Lm!$RE^k`5l`Abb-rIKD%vQxMzExELAk5e<*P$lIJJ*
zsmAfOjN(No!?uA`#{2|hTK^lFTS|VPOa3atDt)eb(g~~o(YnJh;pBb%MMlsEy2+A9
zNfugo++FNni9ab(v|VOomcc?cE=HD_1k!9u<+XtEjJzw+N{4!xHpGC=BA{V^|G9>#
z-0E1p!RV)bskaHAmMth~AzOkwA?5{5A?u{uG}{NA=5^9WK9X|jtF_!+Mr3t16@=Wn
zt3r7Oy)R`3rY6x2(Mr8C#IdAEBBJ--ovD0Z;b&q|ewcVseJELSejABFIWA)YdD*}0
zHU1=#tz33cvcu5z_cDVmq(mE0us%zjnII`N(FvG)yqe6v?2H9_jJ>N7=E!On7gN1@
z!{^880$Z&LG;SlHTfLM9ZquitEnmp&+?#kf=(1poJ>asVk!TC@<r^i)Gx#ngvrPI9
zk~H0Dq!^kz%Z_Q#G(IODR13SSYEwTi6vwVF(bq&XLqoe&vMyHTW<kI0RHtkYT}Ei1
zdRj%=?6rS`b_;+Uq=;!bb^ndVwc{CXhnlSwP7Gcb_?0&^lODacQwh?PdGG*mdi1|#
zvx2bf;X>SyAp#h?)G<mup9&ah>=IdS1y2oTP6UI~C6%e<M~9pKEMIlVRyU0ia@6j{
z!T#>z_~KjaY>B47LaIX@s{(%cv-DybWOp}K3fY`(T%`8)=xTKR9HD<>zwdVD=9DTI
zr(yca;Lwl#x2o29_^UpY|I;)Qzx1QgH%x{A=E4JttR<EY5M-Mhx?dS`vxKQb*982e
zf2h-1!}g{e7VMuSk%E&M$~b`OdlkA?&ZZV!?(ye7uC~>=l!jv8l$5&ibFPBvol4+o
zfjuXkO|c@2i@=4f&3gHb=u{x+abCe%(coAO!i()fwqN1lz<s^ch9*F5(ua3qOfX?%
zYYSy`+{0QLA5tU}Zwpp7AHM)fOqQY1s3e9QkuA(Z_xLQI?q!59Nl9=v#X>TiXLu1R
zgioy<0y-7Xjm#^p{osIN7&a-M^HS6tC_$|JVN{k@<*NCU0B%b|9P%yF1~^xAnnt%X
zBT94N!hUbA0VlC{>HH%Dx-{C9D~j=0wNhU|c`_x7%$5;md`}w6S?N5*{j~vhW%2gG
z$~nNX2{lX2vu{?|(($!{)!4vT<mR;~4*86w(CFG4rb=TFI^>~jWMhUSNf-{7_P%pg
zofbvK6e`o^ViG2a==Ui|=9W=V;~mIY!Ye5B)i73IM;A36c2)sAts|J`B0XuUSfkN-
zKM2BLVpb`{e#(8UjsB2-QDe(tWR%;tvn8eUB%@0pRafi{0&g1iE2remQsPcZI+t$K
zq8)}i8)tlk^}LC`!T}HKsK(5V*YKZ!{wh8?I5DUPk;HPBh3aMedS&nzVRRA6z|`RM
z1qnI$ae9UexpB~rSuGAhVCveq%xxIYzZOTG>OSy@Ie*1@ny`SgpWLjlCf<sQ=U@d4
zo=y|q=9TcL`BlI?Q%6-SIP$pelo0M)VV8p3aiiEm6}t*tX>_ZN=kxj!PF36~ti6ux
z%&y*JvULt(j7Nl9Ustkoa|0qxr#);%fpjx?hT(ZDOR>_yMq<dzb5^9BYIg6>VFc7f
zb%QTerD|jbZEalw`N<29x1*emlu^QU*liIbGW*&oH#Tm7XK_)}rQLezb&MNwh49Z}
zUp!)4DRp}B!o-U=7xd8*Wx1_NIj;QG&>UZGt}3+1d*BH=@P8N9<Zg2nhPAOC36sY)
z1yA-+@;|gI1GB=DdJY?>p)@b@JxHUZ4ycSC1fhty;r*rUOg$xc_0uRKzx7S5uE}tv
z09>0h*)JCcR&##6%=7q_l-$hl$A_$9d|K6))udyq*gbWY%Ds|x=I(<hf~B#`Ldnm=
zg(pCUko-=FllV+|BiZ^uhkGZrM<lf+%XD>QhJsCvV33XUNgFm;=crdfz{bB^q#KKT
zTEZGsF)XsHZLU$~ZuqMQbvozle*b|Adkn}ES*kk~q8FQG@YjMoyIq1wAF0NQEnr9+
zYOk0d(wUJxz6h7}m3zOEVmR(N=hWu1kZ?n@)?=JL%KV|jtG`|lHkOO-NL)!RYIA=c
z?55T8w^sPa&7u>e*yVbE+fY>I$DyAj7kCLrNMGo~cHs!uQ*;>CLS1DBIki<Q30WN|
zqie-oEAS~1^;kAb#QkC>hW^r)M-Ho7sxfz}=Qqe%41|eE+&IXXxw!CF1k#l#4twgW
z_zf<-8bPSNT4ij2!2zO^?rNzYeFwtIq+;6_&zeqXND_4s`FcLvTDiMp$T1K)9#u>f
z&~eoqGgjle>@_*nG|TQ=zK{!Mys52-4RA!fB*6CN9_6IO>|2nJy&n)7&rBO5X~<T|
zP7a(Mdo94MAta3!+(NY@q`HLs(<iKC7xB<ANbH@DAh)-r`{tnk_i7{1%Jke>qDm46
zH0~>c*?{OESVS6}U-u{V_^_&H2%OE`SP?D>znz#j#q8JiN6SYjLGq^$30hfsxi%)8
zmEI5G!;r)w1%o1>^9ICiW&3pu?xpLu)Wc|pslGAYq6X_0j;D$+u&`%1@Mh>T+?Hz+
zn{&{I-smTcog%7o_2R>`#RFO@a%W4VxZcZTvB`LEc&3AP_wiNCt#uUnlBzUYhHex?
z4I24bOA(~i-+1xc)A4WohC~9O|H7)X{TEi9iIwI51ba*bj2w&%|Fx@>k&~63?SF-P
z|39l9_4<!h-&}xzG3wujW<&gE+andXe+3TNyFmv5BX_rVbNh93Qv)q)zsl{I>+R~;
z^HbZ=S`v|7`h2dted(P~qNHkq%G$^bEV;hU#oWMDe+N8-wzQ<K0YpP{B~3$P9hQ`2
zNnmER=X)HM^jkoTJT9Ad7a#o~M!?9dPI_Ps%lhBh#jiN0dWgD)fAX?7_4aplbs%dR
znyw$#CZ{7%am>zuDIgeWAWm+rJQSkhw(Rau;<14RtgO>seqff8CLmQ^UE7e}ZQuen
z0kOF9dRl@0wRL23&>3?}YdHC4W^mwaUH~~*v|n*!BQHL4V`e6HVtq79Vs>FLA}wei
z+>tf3JTMn9u8zN{U#}zt#qUj^AIfOxc;q}&XvdFOq2-x>vXwO?D4<_ef+Yf4<aLpe
z)mU>#Kr`_2$=(R^4Uijv(YJ43SWKWF7RbJdp%1%%u=)=SSi|?``r6Xc%*f8#3aGIa
zFax9pD6pjBZF<&rHWtuGi>WWxZ!PY1|L<s>Xu*{cGX22ba%|8d5q_Ykel&nmZels{
z*v@+RIJEJ%TJ)4}FmS8J!ix0P%m{?}<yFud20wHh@f_-w8^Vb%{A*!#c4qaeZ#?JN
z%G6ga)0FmA`m&86Je`0>xUY2|(a<i_uRLbI#NgoI&}=v$XCR<$8QSz8$-EN-gfFe}
zk5o+Uz}VF8Y~DT`ZHPHYV|XxM!oQqYoglz7F?0g>wfty5k%$@^z@`LBW`59fAjXkz
z++6CgEI$YkxxK_=xOtNxc>JnBlX|(nzUP7DQ&Tf58;7m$yJAySq%XP>x&eUPgddfN
z@bz}kE=*3KDC?^$AX!&iAPjnpzEj^q3hY3D!F_0HRdqYA-z&dyzs?7}!KyEr-%0Ls
z9{86X%^&W&Ef8Rq-cjw?;KX6nuh8e8$GV^EhabC<pNNMau9KhC_@v0@=iPs|TQI+V
z&Z2DuR`7n*{Z3bgvARHET=!(^zI#hD`hI9?K;~eN3?F@)8)ioKbP$`H>j16s1mu))
z+;h@cN7k0_uhw5;Re;qTjX-Pv30K*?UR!h^V(MR$KlA>nlTXBNFZLj@N4r!6?rs3~
z!lLT(>~%e<k&$t523Kd67Xf2nIb>{d^1ev4u4q$%*WOUfzA0m?Q&?AEzsg78v`tPT
zfJ>2f7Le(DugH&}HjrukZWwkS4FLNdD2>#ISQn`As5dMVypQG?yB;L1*q4|MsBy~f
zA0C|Y9nAqW<=Bgq7WridcJcsV2XRt(i|*4#^(AJ&DE37{NQ-><Pq6==;Qe2q{GXtC
z7i#Ly_rF*3|K`3o{ru_DHy!!+k@Rspuo>F}bL$TzD4(7*?w^##AL^gkfUioRP_}Oj
zhk(HJ4UIsv!(L?gm|hY#wq6tfE6bFruYkSe-Yt~=LEq1K-*f6tKX{i#uTGy1<Igq7
zi7C9}H}Qy`B{#+>KTaPRdM|OnGrBMDv!8E<U$`cq1n#D!IJBE|?gimj9qbb%7<2On
zXh7%3Jp$CtP;OMeO~X4}e=F|e?O2w+n%3RJ7qvd5S%XVG<NM`C!&@Nm8=h&)=QI+|
z;tc}5s;a%tOYia?&dXkC@%0Z53FIaJ!Vj+~yglQ~-sbd8Y#?wiH3Rq83E02K$ZY1h
zsiW9`XW9$=8DlVHH&2~(41(l&aA&^c0gv?9d6)Rv$6$~SApAT4QqY^w#OC_MV|@Sq
zFP}zmy~(MWl$bvL7#!`Y#>{Pe_&rRz-cr=8$J<vhawYCjer^ap(p7$fw7N~ZF$nkz
z03?{%^V`4Qx_-}O=13r)yXS`moDML%IDoZozTcW5zp;JM13u9}p`0Nzi0Gy_(;px;
zmcg30Rl<=w7;mC}&B))FlPxm+rR8kt<jET#ol`9Vx8>LgBZGA*tOdjswWDj0dB1R3
z)&%~t2>+b>IQurntYm6ljA-Ks-{g;XBhlOxixL<rBWt+)zS^rsx<l%~Y7mZLn(PmT
zRN;iYoT*mZ=x(VsHeqr1IUTemP32io8fP&o`WvJxuuo&sBJqL4$63Wp%*ca#lFq$x
z^*jx0dNM>^u1&*RFzZ0#*^@d$rnU5)b*h>EJ5z}q7~CJ8kMW81<P0@Ab<L*$XD2{S
zL2xK!PYB`{Ey~b{Iez)8IOIA#-}Y-mnmf%(j8xY`Au3;W^AxZq?--N?cZKMSGwX|3
z*{`>!6I)xw1x`sB@NS6CKtib2{Fo<Gn3{R}2t3_REh&c84YAb+v0h8Ee?AhI=~g7f
zRtHt=;T4h`VH~eIH2v@zR}Zf4$1250%8Ks4Rb(;OW?OFCDx05Dq;lHwNc#`SigR=I
z4?V2*O7O$FYDNxcgvt*s83F`nF7p@gNHkLAwG5nDw>|b>6L`xKC-J^d&Q8P?uXQoG
z6miEa{njMSOwr%Pfl3g;8OS4uquJ@~{K`an({8V_BDTX-LdF#;7nqLHgvPfmlXWDY
z^RS26;NH`N@%o27a|)PKRkDA>>h+Y2637(N4p?2&U`yE^9}s}EGXP!RT~~2E9OBwS
z<Mm$K@eUPL;u=M^G2iW**hyizb>Zf3DKGfb*urQolZzA%!#N=#^i;(i!L-VXN0C;~
zy-~wZWiu3zY%V<oe^QTs>84s=#vnfr(VnYyKg!@Or=KrqJYl-xS4EXUm*YXr6(!6?
zXLI_A7Y|hJTBIM6pORXBS6w;XKJvO27Me}G{oRQezw_W>vholKY4VwNWnb94tJ$Uf
zYc87a5Hhn}Vgc`_)=32IseI;+7Ci0%SxGapvlaQLU@=pw$eI3;AY1PzuKl62_;rY6
zQ71owV(LRa`HQAWCgVA}pDOvJf?xM-!w*BkXlA`JTKRUfc~SA;siO#f;J7`B@CB37
zLr-IC&&w7`o7Hw+C0LBqWQl<cP}ZCVm2U7?zE0HzqE~KuwG;MAr;^X6+G-p;RdJz3
zd&Xb&GZ~X{y(OUfia`bFM#%xa^*i)M93EXsJUwZhGlm&s+X$8Y`Xy(`4vYKT+NNVB
zaZz|Me6k(M#bO{ujnY7d%tDLaS!zfg6%c0n{Vr;N3UoX>maEiz2cDM*X_}3(D2nD;
zDVP0%f&VA%uzx4jP-5wnb2ooBgVY7X6gs82#34qf<$WH7?I>H_!A$|rUqm<2zO^2L
z(HxqfR7h+ojgSmiXt$zPRuWfvcZ8*Jgj-4$OqRXoI4n>4`0cPB`RQmy9IFh9oT-Go
zNY5FAV-KPqt0<mVRA9bdvu*pP-o@030mImYt==sx$@Wsk!LtU_6Hm4t8F$Xd!gxcP
zvlA97)fr)_#1@ODo%aYfndup&srh53Wt$I@+b*IT|8OJ%=iQmTWA?@_fwB@m0e$6o
zUU?9M^#f(ti?7rDnSsal^sZ~Ker)R?tznSwQvt|Xwn9Wm_*w;rSB*K~LiMAdqY_5C
z_$1z)7eAe7tHvY~^LFc*usxaT6(f_nAv4@M{5#kL=&_voT%?o$1^wLoJeiBIga;E%
zaokFh>Rl@KUbW&xzwdAxjQ><qGp8Z??25oUWn`f4bi@8;Rar@U0nv-t6_izZNZLeA
zq@q<tg}(!S((u_%MOjg5=yBKpmWngiV^=2}uu*`4hsa&9riGiwi~6oPs3u-0(LD)-
z3vy4iLaq}a-FNopqD;%pVF0g&eS{E*PBL=Gh}&Tv3$tzaPa?*%eB9+C;rW=qcBTwv
zG|?9ZRuDs$?-lZUh3wcLQzGZLjE^TouqFixv5cdVM!dhA!7jCQvQCB!xJr-|y^~Vf
zz4Z)`8g;^kugTAb98BtXKU4eZbTym7$#9`do`XdE=2?PaaL2cLzJka5@(Vloj^$cz
z$eJViBAKo6ro>pGjchmYpylE{;xTge9GSncR|dTChff~Bx^;!4aP_;(5VH;HBHOl5
zMhbMz)|j=~d|gp1onGKF7mgG2+DMPSz}B-Niec6E#21X@bC;$HxGYlqN|;^V0?a_N
zStHZUPO{gy+)X+ejS-)kw@X2|h^2sw>;a~rKlS#|2$>%udi?Rkxoz@^(XicCif`Jn
z4cjpx=tjhhwwWi``_iOsf`VnU<)nxWi&4W#Up%SZ0EA*#<@)i-hLD14W9Q;YQm@P3
z$sUW?0;eoTEiClIXW8W5oxy4Z7H$~K>~%7=rj-}Tsq&b6!yXcG6JT3}7yn!|G73Mf
zhj)-hcE2R`bX}A<fM7^$00iME`W=P<+`)eG=QkOcX?*{aBjNNRlU1ly2}se(VnLY-
zY&yi$acOK;K<Kw}`NsMvK>}&(<Q|e;7tz;~zS{kSy-D6F0%h98^B5>`x!k6sy`*t=
zF@4VWIw)^@f^-v4dx6D_=##{uYp7J{{T<pd1t6EFKH7D>OYdtU`kZQH>SZb3P=C)n
zJ<BAV2G<ZnS4iSaJ+Bc*_Diecn>zR<0M!9v3F%|)Qv$M(y?y@gw?}dow)1*7@hk_f
zMjn0U^(TfN9)`yr8!}5`I1b6qYjf)#k7@u@MSl!7i&G@|lP;7{e2V9@v90uGYCfPw
z80pCbn#e@KfG3um$&Q(-Ll4rMg$0HQLD$c7u=1h%n@e=I8iJM-{bU6&y07vgCpb!J
z>FObO(87l!6wOr|6R4tF9pkQZ!ByLpK$`y8xPYcbSC7**DU>Pd3I@MBng;sV;)Ni;
z-HKAE!tYs{{+K|Q1np*-&D;(f(Vi)lDbB~(Zt=kHBU^8DCek;F;rVl4=+%vZQ_I;E
zJd6Tb^z83Ose+yV!@^fFkjJQVLo+;$aR9&SRtYCGx^*#H0_kJK3uj-9xD+kFM%W?~
zVV+2NScSCv0>iTUDW$g;k)q408XuX6rlWuEp_e+((Z)EyTQqN8(xJ!3CLaMJ-@!dN
zHpv^>s&Jju0e9FvDea>BPh0Zf${)^h@fMj-<K4T9$~XhwL4Jdn0X2FB9Ups0BG3ch
zZ{g;{$19OJ`stXbs!ynD1{c_jI$jB&aiLJ7l#VI4s@;ul`Z8Vf*<v!Rr?%>Pw3_#*
z<3f%78Pd)&d)fJTeeEA;1|Y~gxXXEwJnVm=ts<;v)Fu^b-V3fWphgmUxswTZz3^WY
z!A|vrM<-5Amd^<|o-<X<e;*J?MP@zBg)kJTmid<Wi&BNwez8{hsZ`K>)a>%C=tXa3
zQ3T+KV!CHO6{v_ms~mgQ9`zw5_#kb1{tWKvLeXI!IT=W4;#DZ%m@*nUKgzL(I~cpu
z(&Rsz&74KUfOzlEY0|{yTvuVEYNK*Q^Th&ZfM8dta_8CD)^wXi+~O<?j8$}K_UYb#
z;zF$6TeGGje7a71Sz!d6@(n#FxDfwg;a3h78&OX?;G!y2U$uyz!gCnp@9xA&3C2CN
zdsbT+9kj-;;I|u5@xOAHaNm$Kj}JBtBgaRTm5Ke;_HICw!pX?@*3@^{-9f|~U*F?e
zF}h0>7-hcM3vM-m-l1?VTfqt+nLR8?Hq{#57(AcV78rB+6;ot}qL$X+alzJ4L?PV_
zT6XzPi^2hMzYfXJWgwCHMBoqwYcu?Ihs9U+s!ka;`Mj}6N-sKegd*gQ4>I<z7ua`t
z%mF-cqTVU?ALIA(hKSCbLGZVIT^<UQ4=7mWS$_Fy8Vw8(!!|r_M!eB=^Ke<N`vu;^
zZqP=K3yt|9?nagNk*L^!W{JN&t5{7V&18HqwU=)GhS=F6C$$)sMnsmMK=F8m%OzP8
zWdA)81Pjlzjg`_3+Y^(1!ChkOw64MevC6JzhES8rIXP5b9l<Y01B9IPMvmJ8`s8s#
zS;w34dsygthr8g-6FS3<ElEKhwCLu;>#T-fVP`S8(2y^Qha;2oc&{WvnCfo^Tayp9
z7wl2e3+|)VmF)x&2>kj$xY@L1I0NCJ&sipihoT$o!?iS~Rm4hi5tPH;A~ByZntg{g
z)I@xl4o}kPc+i2s1FD4`>%j(_fsCv>uL?6nUh_6@pBYE5>?Z|3?kM-`!4c|2`zqNT
z4eU%AVzo8n{<#Mnc6(L##X%5q!U~420v=1FTd*j<_sPvlrc)CftZEW*HNO{hZkxEr
zOaj%9x@w^E=gC25f{K{p=VnCovCan<hs@q)yF{sBFlTg;{YFCP(a>a#OdE2$lTGwv
zymC&*q3lYHnR=s}<E@56a6Re;L~#Asr=kpu7{7Bqa<-2h8@o+b*0^((RjmkeUENDG
zk4(hzQcY4WBCPy2=PEywFe>!)BYV(cR-(fOtXG%r@HxM6&zdbX{&$&R(@BHX{USYp
zliLdbwjG)=$YsFfBX-o&FeoqKT9}?m;1aM-Jpwec7&t%W0K1DjoW;=To%95psAX$p
z3HYKjHz;{*k!9_EgLFC35|X12I3Z5__`+I@oglmG`36Re45L|J-sW`!H_8d(H#VCX
z50GEtV-2oMlAmHYN(4j4Wj4Ex6g<MUgOryb8+>qHE`jBtBxoz&Ex~mnp{09eDzXWH
z5o(HN%Q*Lo{MdMkhgXBC_i&Cr@1YIK&Z(pYxx@p$=sZXy>X+DP?+;2x{-7nsW}`dr
zKh%!plY|6IkhUay=E8KE?%8F4T_0p|ypV-z(7%M@RE8fb40m|6B)deI{U7$;DOR+o
z-Ll=wwr$(CZQHhO+qP|MFWa_ld#$_A&CN|E=TGXP>Zww%bG*%@<(qSi(R*u^S5Sz&
z4m?gQWbP{Gw9o8eaWTIMf+aKAA%c#$3XOKkqIf>Kfd%6*4+X;-)rD8CO+7TZ<Jeai
z=t!JPpaPE`NF?^crnc6)r<}Oxk+?aHZqC*cGFpm)>iT`p9Wq8Oiz-+U98b*zGdr`W
zFYXS6{wKb&rf1>1pEOg|<{yjOYc}As43sj;@%4YkRhXAvhk51kcxjL5+h`Uid<PqF
zXZv)hQqFGYkfK@H)bzc$EF5QZ0R@3I2Sj2nOY?=($zI427vRTr9z;KM03sGt6asD{
z_PkVNail|pS4%0VDhgeIw3VgjHjd`7KF~GQk2o%afjU8cUAdwhuF(5ty09KVLp>l{
z!vmCT*j*?3FrOS4zXaWR4Po@o>p+p=RZ+kt2~qk1M{HkK4%&*Cj1pMqW`uOXRfGJl
z-1?pNWd0DHj*^WNfw71Vc9ggFAd_N%>JWW{k@8OD>A$Q?do^>p*K}DXpS*lUydR0I
z=Mo$NNRPF_hH`Ks1b#K$l}hY9c-5xjXs{}P)mmT=VDCXZp?r!d4V=I)S1VgUsZqy0
zNV987VrAX`*;RcbnWWmqd$}kZcTcMtaZytVV+P#Ofph)qf}Fb@1HX!LbEV?a`cjml
zep{fs3cpkK^#^(fRR_4jvEX1Q>^c|VQMQwFY>nW1f4F&>dM?R8Kh2=Z$9}nSIXY=n
z2uO%YiY$N1LD7tc5lYicZ>AX%`aI`QqiNk-<W!-DHS$K*FWpzOd?J#D=0UmilU^~q
zxHG@eNK~xTtmX~Mj$s3M(vrLw9c!Xyd$_(19y2f81SpSZw|=lx3_jDtZ}4{TU8N@K
zec2WEfTM*vkWgCovh@x=HArRL1Cr*zerdif1M?#~)LLOGfZ{-6H2ZqRkd`uI+}&Zv
z18bCRhi5C6B|UB7HQAd0%`uh^2Jn)(1a$#)yT_%aH|1smtRD2|Ve_&H*j*=U18yUa
zMD$?nHuHd@K4coJLn1M?&*n{^*>4&1-J%VzbMz-!v`41y1><bm=Q``$ca-Y+`;z<0
z9vdHE6U5<(nFIF;Xa^B6L2Vu*$p7uqZ0D~kTKswK;+h<XADgfe&TS~|6&vzFP^S`c
zem%(E`aeI?gI4%x=Jf6Nm)&}gh!IaoYcq!}^FFFdgmGxnaVsPfthtX~1H~ewj58N~
za<JFT=bHng%9bE&CK&M~hf~Nn6SG_Q_xmZOafd8n!9h!Y`SaAk%kgbpw)Yw#csFnO
zLT673mviXiM)UwcLzi&5exp!D38(!?rhC#GE{`_~yS~@e5h*>w^E-BY#slkb&q_7o
z>JAYTCrdH{-ucj#2bZ#rn2t4q1QhWMN1RA7HSur@v(Uh0d0;|V+>?O-=1x6*&H3sw
z+htnBu5L%$QNoz}Q0Qh+H9=UqYC^$Ptput4<*Bxy4#F{3kaEbVx-+n3_$DnfG~*R<
zLF<X!p#pHT;B<7r1373fP*%*(6S#5tE*pq-ah47d54E~`2;}9MggP9g?|BN)=%g`L
zyh;vz=#cR;Ceewh4jp}(|L601F*s!no=y!#_oP7EC^hVh*>yPH7C|ZYweJ|WH+YSV
z!!!4;)b*z`D6|geX*eq-COQae))r|Sc$%fW8s@(vvUq&AMVpv?LTF>5){juCtMDkj
zWABRaKGO_Rw=dDNWX@Vj-3BO<HJ)pR=&y3FPj)MO{t@-Rk_yA`yuLaBKtibsXCQ90
zx-Y<iEJIg1n5Eda5Gs+@%ulCo%l;9(QROk9N}Z|<(BdD3j@c>{GFnagAbAidHfhL6
zCTAmm9artVN(VwwA@Mj|t~{?->irN=Ojdj|S!W?bUxqi|NVaL1KbzJ4m{BL<BXU(z
zzXlHu<9U;b;Z%$0ogGgK6CBD3n-X}e2{v}#UI4JLz&p?SJ%9s3HQLmU!r1!U`$2<y
z8;DlpIBKkt@ux{a%USR5=)u8BwzBB(V*AXoP_8k?F(OrL6V*{?IJ5Ee@9~rF;TUwJ
zq2XQUo?W}u+G()Zx20Il!|CMX$;2677#ou0Qnp)i6yX}J2%WQ<@O$-tH(1clajG7+
z1JuzEtCK$p&~4BZpAB|oU3G=(&}>EUnCna#&~YoQ+6$EI+^tchl@mS@XEW3^glonQ
zLrdW$A;jp$PcZ|~S*3A-x0#h3HLu!G%(VAnC;19uuuYV$g1ohOcHpAB*?DM4+5RQk
zIlvj7dY2n;NN*@4O?Izi|H#HJ9I0tN(QWXc?ll7dQ^cy=VCgYk>ZwlR?kJlo3fWEG
zXK1F>qXB0&5m5TpoEo8_#qFyJ;<=Kb-3{VYqoACiT&2S>{BQ>GorQeg<<l=<uGkA5
zKl-k&ko5e8<I6K5Q4(@<PRgYiy=xjbKnQu1v4FlLPzsuz`}!-LcD|%kvO22>5TLwz
zxVc;kv!yWmUIiZjR?HCoIMhGB#R9&gAhzc6_3`I{If?%?G<n|`GA?L5@!dMc$iLT=
z(D(K0sapPK0}k~JI@*d)@tC`zE+*4?i1R?`yTU*cBdikO2V9K01?<OZWZs=7;P5er
zrk<-(U^)8`qAi+tOAm10?9(9)y-V@@F4K6Js<1~LEGtN4Fp<sq!_sd+1)iO9ctL!S
zsHa6{<mf{navL>g5bC49!yu60zS><&NK)|nr56hX#4!w@X(W<+|Bv8e%ZiY}*3cG9
z3&(A4c%%WXI%qB78`6ieP*$^T{`;w354*C%@I=myjEiz(`rEFeZrnqmKp?X@k%Y!)
zu6IBuufH8~7@XiEz0!xvx>w^$Eeh_0nv|R=0#hgPT)+%EO|FtH-+LJ~f%KyX5*1u?
zyoyIGL(hVd!s$ZG<PkgX0Xs{cf)e{e8K<8Y?D}yjOyPEY0i<6Y$A<yx@u=4g`^JN2
z6xQ#E|6a)CTEiNsW9i&XtC|x(d8hFO(>5!iCQ9zWoeVx6o5FF+vR2lTvH1~Vqvr)+
zI;{1JsoRyVAb^h8-|<<+^dveBV6j#PD^Lnq8X@ltPzgv~p6)~kpO`fzVfi9%B`ZU|
zY>-rzU7Tf0&KmrBzvpvNxV7iyJb7fFTt~8hL1`0QKhbx_oCPj>wd0i@;ot*5Y|kYo
z#mV}$dxIY_;T%&r4R?qm@sq4{MF{IeNM&xpQ*q_iMcnd@d2=W)X>`g0V(C{S8Ch#x
z$tXfnD-Tx;b+IY7`QvSh0d+eq?>s=cKb$Dgw^#w2OrxZ;lMDT;Fd@xm?M=888y8?;
zPU&MoL9zY1U2`@M<)!VtCe&qyjKaf;23RI2mb~wJHG9%d3t5hb=zzWsODc7tg^bFC
zZ!!&obq_j2{P7d3=+}o49wUk<uQRT&lvZTwO+Fa>5}(Kg50(29n@*D~-MDi{#Kfdl
z2Fux>^f{DIuGNhZBF(;xcQ^)(qY&OJk4vILg@Vv3;(21uh;ahS{2_1}`#on$xPZj0
zJh%`EV=u$Bd&j7Agh9%tH0?v99|ODi81*&v^N)?s{Z|4yLzDYjw?o<Z)YPX{4K(=$
znLj~pfY)9j$D3Q_WIJ-oNzJ~p(5Zxt-mh-f5Z3~+wigndsNlwpLDc!U2Gz&=;527@
zn#*fAS$h*-u9uN)0xaXO!ZGf!ebr({3~)B157}Ea(AVju`-+XMgYxpG2?kUwO!O=m
zNEy{E4;P4(!_<NNSkp{x&K2eM&Gr+<rvxWk@?uaxY&*($R1kW~K73KnB~v%Pb?)~Q
z5K%FlUKN5ZTIiFj;M1x|ulqimR2mvKiS06fLz4@5Y0$l3%j2=Q;Gk@+gIvIEjn0@O
z^pNjJVOjQ<e<IqQF5f=>I?$K*x1?3FpSSH#(GJ;j1>OhintKq?#=#@E9B=CyFQ&sw
z`p#QPHxoNWlp3NQo)Okwji-bFDA?R;8rZn`TsrDiP7<L2-MdSuC$!ql)}*E|%8bqU
z+p~@PZ-rutlj{4OW{A-%wnBXuHi_`l2_iO9Hau6@ze;R!2N2S;1q?Wj(cKPY|7ku*
zMnRr8`sx)o_}1KSXiz)lBwkmOPl^>E@@HNn_lcbx@|faAQMy6udUYnLZx8m<kiRTY
zy=e5eidq19Y+ig0q;-FrH+ulvK%90k7`(CHQAcHS(DQ;K$leUS)I=;Z9#$gjD~o*0
zl`3^QtTrxWPl@v~Bc3Pex#%aLlD$@XNit&1cjplzB@K**fJn9FwtSS5RxmMGUPXoX
zi&t?Jm+rPM=)6mXwyRxF^Q6JK^hm~CdHX}%?|-;va~8Uh$;M!NSgrh$VV0L^{p}qy
z@~E`msd$3|!so$PQ_^oaTyCcRzO#~h-YM0|*voJ4b~FV1Ev=-|H+Huza{w-s=DTc#
zD!M`M2tS+KGc{m-r_q3cw1lHbgD~L+ca-Ca>SA*vpl6@32f31b8CJjbeuCqn0Gr|E
z_iOsN9|flyHrHl!f4>zz9yMYf|MY0D%}SPg0*h7oCuYv))6x64hileK<YgYEY5TM~
zHD6UUEFH=!{nLOg&WimE|6yijwWvwUc&TOKWlMpobRQe+0BkEyG-{mmP3NZkG5i_=
zK+PLX5<Hs(1!_>u<HMAKGEa+l7oD+rS#s7u9SjNsJ`oqL$H8BrnT(5F`%c}z?1i*h
z_3?0zf67q*T>KtJNfBer;WZTrin=$`H;+oNsf~t_GRRQ}eveokz}xgSvHwbOMoC6_
zoPg4yDLYN0Y|7Br%j9#5SC~#fjd$zWyL4bg_~qz9fcEOz)p`?@kx%?PM#D3pTQ9F!
zPg}u?hvur`_?0FQiw)*xDn?ElGO!-`HIcB!i+JiP7>xo~V5*}NqKp$1fwCWeg^Q<;
z^MNi1*_JyKwC0`C9;fT@YVIA@L1QMQ3M#%PFW6xcj47+9GMB|{4wT&W0YbA(bb<e{
z=W~DGq*S9`c5;1kKTIgY4E}b|na0%wqG93|8Vc(ym&DshC>wu=i5?PS(hQEJZCNNw
z6hb-%fg9~-N|V|aYS?ZMRhajk{CE#2@rE-%b8lZ$XWZ?Cg4Fj4>Cv^SWehHaw9bvP
zahr$fU)+6QjZS60++Ct9<Fqmy8%`i%ho6qunb?JFG&T&5iRS281?u$C`gl|bVTj4b
z;+VyuIu8uAEdU!Q1Vpp61*PQhyBm&|6eDHJn8qUbr#(4Aj<QD4v@p&4LIMg}z7|i}
zhkorX_ky;LUg`zUGqN>vt6D(r$|Rmyhy&=lBa`+sB~@|nH5T6bs>TgRgw@rq##hBg
zF#@%#APjx7gPmjziE8H^L))Gwo<tS4R!bbZ*MWVSV1(lt5VWHtOwEIRyE{td;Vn=-
z$)Q~%I}KALWzfNOMr=WSZEFyRTD{$iS_-L#cjDMN+N?K?z8}$N4K|S$HB2cd!hp|~
zA%0zGJrT1G<9nq044v^T98k}p2OZt%<=Mp<<4~dSb7pr+AyE;0ZB<s~Z}<YfXc<cI
zqiXc30l}N?@5ornE5<Wcv5b$OR1Vb_WEQMxO1^8dwUJLdp4|7P#W%k_cmW?QRbrdF
zgMr+F|4u#-0)&p~ZHm>sN~h?8#Mrh5wv8GeY=+zi|H~1C4tgb9O9lF}HabIcA`Tmk
zAiJ#pfY@)3f8&{XAyfCKkC#jv?PiDm(aGBvD}JNRbuds*c22ilLeGsHq$bk-03<>R
zN@wYhOl#H~PfU25zyw7)c^H1Lgix0O3Ta2Ctub)GF>uab7}z)P1do&iY;%)R4}`I~
z&a|+yCxU*OHYbteEOBeHG>CGEm1!U5Sb7;Yn*x&UOhwc%HnC!WAv-l{H0bn8iJYij
zCJbAs)GK4FN{Kk#R!tX-gYLaQu`$%Q%m_HaJG!?U2%=fNlZbkl_z4~q+mTuP4_`mm
z)GC5ju|pL}BOf#gG^;di2p-*lcHGbJT**2w9n;Nh4s`0dzMD{Ld{8ojDUXW^u`50q
zZU{Im^~`Y0=<0W!s8Ivdj_U({Ao?n&e~%)%rdq8<X5x6Zgk`UqIouTCLqDm^^QVs3
zhJ})7v*W#T_Bnju@sJnmLw%*X2!(4U{bJG|kBI8zBiyLwFfvF3%(9uki@gQd32rmP
ze+_sQtzCPr8%k9<MJ~}8to4uBSFU^{iE_Oxz!6HklV1n!t<BpE1D(=VW*@%rsoC0y
z0{ESV^nt$dk*{D0WhK^jmd!Gd{2*&9jAD;_NYD+}s^CI1-e`8Qr7j{`I0&}Ak1G<q
zQ21N&JW4d$&Sx)^fzg*M!ht^1{=G)fkQTuyvj>D*`1>eYPevu9${5wNoN_IpR$j^^
z%gMC`Ny(}+Xe~0>Hn#FemUfP%;-ZdcMLKbzv6x#!Ed#~4IlZ1bH9L<lh9p~fQ~sLq
zuL%P+=o&?;4_1#4Qf)ML!59Bx8in~zqv!`76pp<#cU?y>@oz<ZE3B#*ggP+~43X|h
z#aNtEo`!qb&n~&(Tele%h4LZHKg`D!CsD)Ps?GNUq|ASd9597drq@63%f{k<touDf
zm6mxJGV)@PNVDRGSkw5#UwnFWjNQ#-3d=x<JY#bi?ZEc8uZrs83{vkF3H_o^nET6I
z-J4cb>U<z7piL|Km;9c*yZUq5c!03H?hTeF@$)odaP=e_ASuLq{vMF@9eMYXQl%>`
z9;Ge0&u#$TUk99vs9+!b7}Xqp1Ejn}yv*ve=I{qg1E(RIB6Up;XSFTa-+eTL#6s4~
zFh>yhh^zWi3ezPLrz(b=GqS9j4;3)X%J?)8J7P(pq&Q{GRue;z15xD}1@dxOe$t%0
z7%VndF}ev@-+;ObrhA2F-uD!kIo!Rcgzf2e=>zv;R6d%&GkWGtXl1l@ij1Y;sbRhd
z!j~~_OhX6!WY)L)8WyQTMqxo9Mrs^+AV?-4j$UZ6T2<mHk>lAm!s-d|iWd}T5SqOQ
z+;CyysYvBof(I5!M!9=e#fhsUb$<9<Uj^fwgni~*fV0#p&GFwXERCsh=LWzID2kg8
zf|8y>Z=0t;)W!UY+v>X3qaEPS#*-?QzNnQ?E-vT<7d*Vo+ql0Gnt5umeHm57Hx8dD
zdxEX6x;m}pVKv!|GCwmhQ`=1H>4)M7wb|7X=?$P*+?zTe;Vji#Lxy$Dc;&1N4ltTG
zvHpqO1?HhSEWJPM7$rGDMd{l&svNGS5-{qX%;mkv+V0du#;h(Cgw|r}eb7@xG%x_^
zooa-e5gQ=Qg#RQPs?=;b84}see=3iA*C3Pt9w&*~UAS`~tHd#P`RvBD%RccrX)x8W
zT#&l#RsE2@1rbJKR7Ex;U!CaThLAsmQ*$>>7dp(mF|h^{(H6+_F+oG@AW_eCo2h+W
zIeLs6n4XG-U>~-=?;O_e;y^v~&h#)(Gwx=`b@a_^)v{W1WBaPs>8uN>vj5@b2Ay^;
zkM6`sx)!fzB!9qPbP-7$<voHT1EJY}3nRa$Oqy?H50YrEOWN){Mx7YtuGJZ`LD`a}
zO%MkVw9F`v@s};Oo<Ptk1RD!l%-C%90d5zujl3&RVyC!C;9`2gV^;?+&qfxeX+3J)
z59^;4mTppN)KeH8QJ|7B>6ndq3G<M2>C~4BHWOJ+j!f9)+MTdg(>8F!#|RPZCOS9T
zOYPXblKHN*pd^sHqRx0|sI?fHZZyI5f8n5sUc@8V^PHFHaa!yaQ!RBQa^==rv8br8
z#D`SZM@WTRR+{S`cQa_Lb(9+!+xZLkXbbUMI@-IA?G#<w6l!RB$vqugazh%<U;FQJ
zQLT0^$5UCqd5}#t=(2HANZ?cHN3f04l7-g>Q5B1)JGBxV0a;(YWz{YmoYlo?PeG0z
zAtG}qvgkrvdi@P!zq7W1_@6g(=^`(`hE&b9zeL=fo3qr)A>3u6Fg-Uw$4Dv;vJ5_6
z=m~ZeLUVXx)Dao4xaJB8^^`DcLw?L55FAJMWD6>uc^ZrTW^cY+lBR}x*)V=mnDcjx
zOB`f)-!amVOKWEmA<|?{`H+y_mOt<5r@g%_3Gh=3<<2IApxYHdK<}}}`-tOIqr4B_
zvo2|Cs3Dq>M89~hn^+p$y_gDIjANr*A^11UaWijj#G7R9R=g3?oPF+yYNDFTW$7Is
zLoza^rRbgz@!=6@kWrH%i3uh~+7=h&mE%DLYvy+GjZ!*XIbdo>!^Vu}*6<>oak*#@
zk*Q}8V_UkByUOsgvq;_YoNmUY<^oEHc-c9vt8*leS9wyLrNzN$XH>8Q%Nh>Qto+O3
zUTSUP2@L1G-n5aF2O%)gT6ntWf6k^%TS=MF&vxQEi{4z~J5W79k!`i&W<S*Ea@Z|V
z{lc<8&ty#}THH7swL=!M;(1?5N<<rl@m$HSN2;`nu+!3|lwn3`2cA4qh?6`hheJJ<
z=-QKHuSjfAlRLkUm(HSt2|;n+VO`WLsndYx0KQueNfl)uRkfy(yiDWJ3|_9@mYw!=
zm8(^k2b=W|q?YO2{K)*0-<FF7SXe457K(AGaEGQx2!>6W7CYo>MJTC;HG&b~IO)1a
zG2yO8<E{;eGUuDf&Wue6R-)mx3e?57p3H(N-I|`?tzw<P%H)vqKUNC1q69!5I>L^>
z`VG;Y5P9w!zU~8X`J*zF)8>M~^19i5A#!9gAt8D2==308!8q6yDBLQCFt-L@kosF)
zA%<{tcmBM^a<g6>pm&;7pCrG*C(aBTJQRuUbHDXI0wd(oxj#}JsyBRaajZ&U#s}D?
z5O;3QZFVKqcb^p{yfDJ-QBYP*bgOBYwBasToDcz1wz`k;3Me|0hzFO@m(f0WvJKRG
zLG)y09iI4v%>sLDMZDA0DWaFeJ<K;9%~Y|{7HzAHD|K7={QE@`#vf!!Fp5Gh$)De1
z>y;I#5I?+cM8FLj+vT+;Vn;JFKEpko+7a&m412A};M&dF!UHg*s&gZ2g!5G`PSv0&
z@3l~^vHdhL3~#D&A})xMqm&@Hck=Ic%jL!@j?inmTg@%<sv;t<tOxXE#4NtgFzPJa
z1hKhC@GD1F3EML@=@;0TXq>Ge)!j0{#bDIzcj?0betGRf@VQTsx9PMb!>4Qi9kUL=
zl7#O|DWP3`{U%F@9-MY()6q^1wb-8?6@T@tVd=W!4Vy*7qvGWSyA3jg53#e&bdpUG
z-g-8O*Y64OxL1bTiAYg%?Y+5MUO2ss<A}rlOIFUili7MT9pCZdy%H;*{eHrRqnaHW
zINs*YS{~eM$9b~B#PBsZ<<T#ES#=ae)4@bRsuAfTYOplJyI8;cLFuxH*wZc22T|lt
z?8)sxPT8<szoL!>;2Z-_7kA9W@c?*`;(ZNW{P@FF2nj?`C;9wSGwr^8tJatxRo6(+
zHzbabMlN*mYRY^*dJNjthcev?A7S~jO<Qxqgk>ES>^DY)8oVUoi;JCu$PdQOnY39K
ziq($t&r}m7_?RGT)GL`Dx((A?q&iL`5X2%k5K<Hg9oS0~5_?`1M{cA;7o~aI@hl=D
zH`$6!Y)I*7q%~s8j%RyJ%M2x2H<G_2%HQwduaNoqOm8Mf^{0q~Hmg!OFlN<LMV~Z2
zIri0s+;4`c;>Xd?`;_JI)Mx!oa=C17fZL+jqy@*F9a|FlI{FovZDMOYiXjPtKxyy*
zvABB5&K9mbW(u~vkG#*z(<{M$=XvI_^O`^=5R-`QRj7jc*ktY15j#TeDpWY2w#J$%
zT*|y==<Qt&$VL~84x`g^CE5BJ(rVpp)7Xm}WZgF}R!R}LbJPg;jQsu)+M<hIRRq}5
zW5T&uBCpt)NCbCexQT50x`B!^q-k1EylqSAxJwlIc-eJlrlsG{KNt5w+?i89F(UMb
zf*rl}xqZb|#cnZ~b*cCZf+?M*<+yqg(zZ~>Uyn|C<Z46uhg3NK*&l-FkZ2ntA(>MR
zYkP9qKpm$$-Z*~bn=4X^+r7N93M~kBWn+tfaFop=k1LO|4u1C;-$-^n%K!$T9S<o-
z3ay5>!JaTUMyXb}@>+p8V<=P?O_P}0jrd5M5=1HNZ`Tm-w3>1@{pz}9VnX8B)hK^(
zhVUlN<eWh)1KO#}J1J!~)#rRZov6%=fcy4->#+BGxiRWYqc=vUYe#M4;OrD^^77#-
z{r7zXck5T=@0OD-3X_o<0M%pv0`z`R>~ln4e9n-$cUmYR3Q9P~>>nL~LA<^jfs~_W
zL)d<81BuAd3`8MQ&q--J9)@6-hNa#DZu3QP?wsgzo#HFD8G_387HpU{AY9JXCUp`Q
zPyU<!!D!Hi42WLU?>5+?krAoz@L)?}nX9J(o061fyE7+YXu$a7uuK@{6U>Wd9PZ5W
zy0H|Wg^~U=oh{~E%f@<J5heN8IaIBm^}-j@r?1uM=`k(w^Ut{Q^14U(98`~TC5&~B
z^1xTBrD@0W`q}R$UMZ3*L6>Y}Rf$YJS#Yl`XO24K;sOOvw-nt5`W5W&iBqO&9^FIE
zLNX!Vn`Iq4EUJG!9d$`J)ECm6@2=i<34X<^Lehe<VcSxcoH}Zmt&~F;))wiWO@R`n
z_k#Y<;#A?Ymy&S~vT#^?kZ_z>E1agBWzIP!t-+Iv-tbO;3uva9L`G+7<tP|3@qZ)%
z2T7;QCM(S4R~&1kwq@xQiO1_hq#)<m*oyO}5SM*ZoFZ4brd%^0$aDp;%yD>x`HsZ1
z(Cme{LZFon9?z-0n%>E6H6dI)qg7U=MOOxsC6!So6!-S_`YByL_fNxSQ>Eh#M&=}c
zh^b+sEmdd~<&qa`bvLa!Ib(U>@A7*9e;c;7`;`0Dq`SnPYH$%yXVC-7tunr(gt*Lo
zV{1&WE9r@O7^ppEHJXM^GxzUa+8S^Hs<#2_v8=P5GgOotSClCR-t3`45_>o0obE_Q
zE0OJ-3i;$?Zt8;Nr76gdipdLW#LRYqFWQ}BI=x%%vXA^BjlNnUz70C|BU{T^2iuug
zZq{eiHOuLM@pG%TXcRSh>gE&#hn*_)a5nWiDB4#q`NlQZ+T>mFL!TJO!~}@_W08_M
zym`69{mXZ;!wl%tD)X|}%Y~v2LlxqL=Sh8vs&OLh=z|Li1|H<uX(VVfo|g}*A?SU?
z24QxgGUlM~hnKF&%$^938kHT&WdtYW+y{U(&M~8wtZ1!E(OUw1xrn|eCu;?w1@4JO
ziVBir)UDS{Lpi-76s^7t=AUtU^pUVC!_Zw6zx5#S!WW{RF)E<fE(EXO9p1_x5db%b
zyMuN+WqC^Zcp9<V@^{8%*?i=<6DiC34E#@h(o`#qZr|S{8{Wjt)n==!Z8#bS3?+nT
z{;;bX0H$5!Q8GdHoE~4Z-1JSSl--1B2(S|NjuB*^oGpfwDD6^&1K&SmUH_}%?zT!)
z`;{?mx^#~_7g;$Lz~J8LJVj8eF;(~7XM|)KUo?yl4I{xg_Wq)QwpY*7W-MC}L;K<z
z90{HHqgb;B;TESQc*^OjVtlsEv8cX3eKVuq%Bv3+Ccos<tQHOigqiU#U!0;XU?7pr
z{f!ATZDyU6h!dtM^e^GT<A54*=lf9*l0-L@(6F*Q9tVxmWVz>!jJkzKHocgYL~W+3
zNWvbkM?t&2*mDxJ)K|i+hUeKaT=YCXopqNsOAgAhtmh}8v37DGE#(mAl*3ddHS&5U
z=lhvh7e=fePBeB-bVlY`a$K|OLinW647RvjYyL4k!-F>|r&TKsFVg=vz`ll}4h-7b
zb;7J=9NPx$Z#`#Z1Tcu44=++AA5AUtn*uW7n2g`M&uXSe7&b$^Tre%YOP@^ZPG%WB
z=#E#4lKb&dCxrnMJrG&`w;DF=dn1SMC0Kj8mS<+P9{5^{=m|cZtm?Yv!H(3=)S@8f
zFz);707RL6jdu@bprEaSiGO;dq%ThOHFDbQm-pC}QHA_hitL~?pa)G<1n3jm&_!Gq
z?u`uDw(1HBFqiyxXxD`<UroN$GV<aHGU^1xA>U2<nw$Guax0HhJ+INp=;t$-F>$Z2
zwvXAzq(=H8DWHP>z<f4Fz*#~;E6im-NzEisUmw$SdccPUOJ1*7fP+t3c0JXfd4IN6
zes{Rt5nF8<e7p%S5|mB$`z~S?B?qEiDdo5PV9PCvHk4UWw*-=vW?~9th%8(^CTSKD
z22wJMtvVyb8Ri>?h_#2JGi8eRuK@W;o<J*wj;G?cP-Z;aTA5z^(6aGhi1|3NjbRi=
z+r#f_xK1EgxUdjq0Xtg4KXWVe<p;#{h~#<)h9QjQoW&e$M&_D|%CXS}`%;Pp8`Mcu
zFCGmuSO_APj9uJK@)u!#v~zkPYzQBfW`(Q{CsaV&s!s7U+B-erJZhgIF%9Q(|N0oo
z(irBG-f<gCMAQAxM)KFE?M!FURW5oz4l|d|TD0c%wY{m=QkFZuQHI53{}|@#=YP4v
zt==QS<)+%0l~4@PG%fwCc`QA|%Hnc7HUT<X)68lcXwTl5c?Kuc5S|H_Og%kodHXJ0
za(=;!#We7C`Df0x3IUg$mf{UwCg$C*-YVkKIGkq=bzsGl4EPYnj*0xamBl4S=v#f4
zdU8#~b&-{{jYb<IP}4<PmtX>+GAp-SAS!)?K=trqE)u2a+|_<xP*<<?{z92+)5p<J
zsNU<U$OVm{NG=Y9vwM`7J(6KacnaZ@Hu&>(;#BJYlYu<+lbvD<6>Qm_OlB}fTk?c>
zt)O})`)gJ%Yxa?CQ^?Yfchu#oxMpQ5XBY2x@XY1At173Zn~M^BYGd@2GEvc!{I8qq
zyEqcB&B??Y{N7nzhN-@r<%ES6guuUvie4wFU09R$@YX)=kYEG#$=~l%q4G3`c~;|q
zL-V2D((U1}$ky{V_&{qAc#%DlcP!{UA`2x!o)1Th*Wc_n_#`2DEO&J^TvqVS?%#}q
z74PlVvP~y?_{63y(M4dwpBnVHtxO7lEM3dnC~Q!SOG*f#z`gvc6keL*QxA$0xlH?B
z3YJU3y`YXx?8F&m6>rKGi(fBSUM~HE`oYM*ayNeiC9(j5v!`$`PyA~d*0%Sfw9YIa
z7`$|G0e|^-0!!8>cVmLT^`Qpf7n`LDFN&fYM&qAYfUKW2nkY@LXsQ4>J}ehDsE1L%
zB)k>OW@Gr*3f5`({2Vz&xrQkveTKEny*hFAyc2siG}<oL$0=T4mdzo(M+?Kd^L^)3
zC@v1XB^c!3#CuV>(?Ag7fpLAtS2|rB=Q+*9Et!dl2V4QcCI;ux^CA5$o)CB%0>IWY
zoA-El^#$({h_vS*cZk?uIZ@>f9qKp^CgT{`%c)T*<Pbk^C$FnPqFP;iUMt|8a$jq-
z1z-rm@QI7n@)T1AEHt!FncCA8+)}12n9t~<Ud+KfflcdA8LaF}kY|Eck#}RGdRblU
zICo!*r<$-Xs7bL_;=x|VTerepcw`C#<rlV*PhyiAPy`qM{xT(F5jM@H-fyi37OHTZ
z{?wX>K9M$|TD92Y^piq~NXm((IKAO}KZlMkoq5Fv8r?9)%)({V>re`eA<DK*skeQ0
zm4fPb9DeSb9v7^(%yrY4cY1-$14t)_C4(y*Z<9vLz2VZ52s1((+J-#d!#IVK^8+o;
z^BI^Z3XU2bQw>|>zr*(}g`#uw(7c`Gm{ls?#vpR4O5%nIX2M$z{OIu-`+<+TNr)rC
z7Z6?&@Y3`WeId$`Z*@5ZT`z~KG$aoya%$3jML_bFkh;xBjm0Q~4|q-d-8q;-^L+#e
za_Nq`SdCmg??A&0*m;IDVr8BYQz~bqmhC3Zspfh{{B&J-k{?gwQ;52tK2O_Hn<s?K
z`Hep~te|B+&5zP1jpl53!pY3N%rzLBHnhz;+S9KC_6+A;8G7CNnKtM}fV;0zu9TZb
ziU)dDf$*NUL@HO(PN$dm{O)b1w4`VC8i=;oXY0T#5|m!qtzq-h9Cl_CK4eTyCk|e=
zR^MFu4esfJbV#V0FZ0BN{I<SBb?m331;@1`vpVRV*KwC7`}DatwbP%Tc%u@Kp2}fH
zVM1qHDUxSmMZUgioJ`^UvSZO;@6p{e>R$t8oo-CK`hBu0Xb9|)3%?HG#<rpad?7;A
z<s+ZXvZn@F(Pl>`e$<WQAK(s6?JLI4`p%p&5{dO>Y?)_0uH*l9iZim^9v76vIw$3=
z&bw?s%^i7|#0Yc7nOlwHbX{>KqNhC_61*1eBp~npG^9pYsQj6-UF>10-%-SHgH}+!
ztG5TsUW^{jR)cn?8kX?}k@vjHZ}CAyyPSy)3YS|H9M|UN_H_2h0*3s4e`4egC94in
zVEz=<lZaEHUDu#thdQn<A~b88JZ=W1P<q#?E0NNxDvyAfjg#)nO3EGm1|JivDK1z;
z)36b^Pf_7gY)2BWww$AZ6;_MTyv#Y2;mPeBY3J4Bn(n@b5IS7%SGP>0%Ovp{yHB?S
zFm6RtSx^G>yU4^$n^ILlw=e!EWq7>-!<@Rvyg6w7<<;0)qIMGDV6t;Fck#cRU5)}}
zSa+;i%6BSj-Gm9O;)bfIZ2pt3syGOoV!PF!S+ttSVhrteQ3yra;nvNCqy`HM#Op5w
z<`Dk+K_oMf741?bml#+!e9qQ8n^Eq%Py1%AcV&sK*DHId!6+%4yWgpKkBsz`@}Qv;
z>PK?#0Pl6)^W!L;b*8;}9IY1G8erHlN!O=0r}#u=uzosyUDp<B+BhZ#;6&Klj4)_C
z2{EoMD`yFh8oKe%O;)qD$PHo)f@ToGP1iRR_Gt-oG+OotaU|sVn~hmu_+t*0NT`>D
zsr!~98%mH|-3yGf_MqJ;tSBTu308J0rE{lp-iPgN>T8Z2Bc)6HTQe)`w<+T`mlo25
zI>-8!h9ymSfVy``16nxzc}giQ%x^WU2Pt(Mt3f&j9HG@f_k@sggLVE0HJt>UeVbMm
z#H;81!MEw@V-FQ-?sz(eGK4I_ODkjUnYC;<l!q;$ooGC}sd(VdF|`FVWL4RncMiJC
z00ye^jya1IJ-sD~q6CdGF!reOhqe+8-pl%hVArkrK6Us?G^ph!!I=Qef*p)-G7uzU
zpLV?%WkTt1iZ>)tvE0g=<HFVYpu&<{gB7Xp;sS#pq-kRHi4bSkUyZ_Finbl@Zxcln
zt5mAytj=ne$Y*3f+lf`W&-dO}EAb<x=oCle;p?iF5vF!((S#=DS_R=(cMFhW5dO^_
zgKP@UJuFWq%pT`Ld34MZC_1E=0=e!abRIGqAkA^0B=Owx+i-s|`dY7GAeIj6%@R|R
zrX|l!2XJ=tVHl$Btf5YfKjUy;&voC#!_;@%Jl!UF6ST`#`!I}QHbUg{nxWhsrKqR^
zkoO%TZO;Ah3S{kN)z2n&u!V06eTPU}x%ispl9}mD$T$xe_8dgp$nbPX(qHAqGJZf^
zF_;_Wf4Fx#h)DYB7UE==&b))W(-o(XN8F~y$&b8=5g~4*JN2f{3UU(8H0F=~;_*t5
zjMe8wA`v6_*Vtp?%`nlc<+vNoH0nTFT!wZb!q`R4B8+v-kD<py-Y+f;=cD~DaN1@1
zA&7x)z|p9wQyF9Y?fO;%Jw3}R=o%4A5z^s0<$19zl)Z6<Zf|0h#2<KrG-Qa0;Ce0&
z`EmMGlonJ5J>An1vvEKo{Mx7bC;4q-2mQ(+7+luOWt54F#LC@r(}`8Hp{81!Vt9fX
z5X7`YjuWK?$B|kcv{@{^5384D*OT)JtdivR<q4{zV;tSH1QKt0ti(d3LKcfnW2eqp
z1C5)5UUHGceVfo=kl?!ao;*vt@D-~I4)mb)=%v_KX&!%{{3WZ0lzVpZk?*SWoEv-+
z@4~V(;*|QN+>7<5#|a(=Mz)WdMG3&CA$6Rc%NUVM*k0jv>=CoGTOYfD0@}U~5`<Dj
z?Qs*p<Z9wuLz#$#B&@F6k9}&a+FSDQyf!be@bYe$WseZVLUJG|Xg%a72U}-+nj}ZA
z#71WbM2I42*CqPcqj4;eu3s=Vn9s6(sSX;dC153Na|o@5Jx3)*ivHV)s?@pnt$-en
zYeS53J@$92bPGnka+cS}$#E>IxBx%90--A9q^t+Wu6tCnKBxP!s_R9?15F9P`DcjP
z-Eh15z)m0Yt)~$$6TQ)ft^@WM`)R1qxEnHuan{zniz=@SP&`&c-MM5CbqacI*`k<l
zpcFL96JgtM<$}A>km-{uy-%z^$}w!v^^g7P((#t~jRl=5{JeSUJC2&^7xR)-R!A?s
zYje3zwH3LhbUnyO-MunMY51vFJv%B00bY`^>{;}tj_|Wn-LF9v$LVF@T{Cf|z5^Dy
zd+zhyH;*8YzZy{$?*(cAc<JIH38NB)%j2r|&9U7fYt+P7f@j3|UHL}W1u_#wHrZk(
z5K}X5K#2`X2|#GQGV8dbKf5R2S?k8IxtFGSN-abi$4)}R^sQ#fit}xrwU2|7JIOQ9
z0iD`wCe?X9NV%>zFZ)*CRP$}s8vQ8mJFUhQUma@;fR*%m0t62d@%=tQ+P3c@CxOxL
zxs2-kD9?yAo44@$7lW)V@lIQDPZdBjf%zC^sp~qXwO<7YrQEVia^A)tSH>!L1g5vo
zR9W(_e8jc0Y1l$3skZ3BAEMwUN9Dn*u*SYN^_Dy3-YK`95>QW7YY=2)wtsGLN&Sif
z)ONe^3&2!6QEKUF3|Ol&_hN^{=j0ijA=bBLK<!hMwlo5T7z}W{dROJv)8fCa`1<@*
zH~YbxJ%6Y+d-r^&X{LZwQl>x4ZU1dxP(%1`G_QvnC9-y~5ls{%2UNMj8y7pVSzp2!
zrr{uog<NMh!u3G4qxVGrB=%RKU}m6*)roo@CTB4Zf>0!*9A?@><pkiOC|@pH6gVp!
z!%eFUSkKdYQM~k>$i(5nKQF(K%?MJ|6f3^rr(Np^&pbj3PFQm-KdLKP=irhuY$sNc
z0xSj5fPxK{0W<Qv99p28_WAZz2wM<g6e>M8cP>0V5ZP(B%%Wrna<NFY(kgi7=++v?
z??i7nPhgzyIwXibm0#(*wpYc(0&h!;0(r5k^a5uM|BIAaDO8m%9RCfb^3MnCttR(#
zy$s|X0Mr^6KZqyFW3_9*%FNNT7jo=Y?maL}>^M4GF*YFs7T^-1FhInf6`$BI>rq{=
z?mI0fAj=x6ESqhug+*GoL@n%68h8utN_Gf$drDu_&yk&}Q)8ewA%36ObZ1LqqU<vL
z-E+#JA!6w>H3E;7jH8B)t{QGxhdW{1beGTas2qSh4uro<Br21L+ZH-jCfb^X;HdMX
z?uTju*O35T!vEL44iwg4vyHH6IO7kByw-!=vAh4;3|sng1A^6*UplY*<)Azex!7%Y
zv2iC`3*30fBTE8<(Pjb7UI?L1!0f(9`}e7w48QlKf6yvCL~%208z!7nRtK^x4pC>7
zG`7tjz|ZVN3=a>oX(1m-zLGF>tMddxuep0b1S5puGV$L%$GSj1JRp=*h!8+(j)?)j
zMMH0N1KP8z+*#cC(&z0{>tD|+$fk35Q9xn<=htb7qjk_tRp0gTh*;t<PQpy`2brvu
z*1gv}*(3CpLjU_D7G4sN_$d+nQCCDDsG)+}l70!<KayZwP4v+jeJuN@M6^@#===~=
z&dp#<)zB(r(3?KDc#eOKbLjg8eJG)4@3`~n#CQpTN3hH0Bj8=k+Y^cI;<>x$=}qG@
zSS5zS3S&u(Fr9w3Fy<_P^vn{)_XP=!1iHs*VI2|fk4uPup0z+rfh<9ydiB8Bd3%bu
z%zwl1(POvJU^Sw7ie{&Jdo(wP5!&R_$Y;zG6Tf7uDM23had<arXg7vP+L2{@Gs>x#
z$3NiDa@~ohb1|gN$z0Q)u+r~IYm3vqsj~xalL8ozQBIpTQ!!amPP(%%i{Qc110$Gz
zd?fm;5Ba(vn@SKiS=@}%B6AL@%<D?uAhPZX8<S?D=H27yk{N^p*4}vJfg{B7=gs{x
zR|2-QSB+uq{uv5PLd;q)ShHCSmim7^;;+1MF>yT`G@bMXn}Q}}3e$F9GW7SV?jPqQ
zk-#8u0IFn%@|}BSjnuxmXAC;5{KbN3#gDG~m_3^F(-@^WDXZiW@dpn~*^+8Cw{z6f
z8@(qfwZFu5@PGy8rcCrDtGCGs;3xJt%S<djm!)NImvuTLCi76>)iECH*hmWzuiwlZ
z5U7v5T(e6!0gge^N)8y@xn6*!J!!J-SPu74{bgG+J0M&Yd5%nQd$r@lTYn8+;@7gO
zs9_ejOmba<g7XRhK#Xw9*XbkQ=J^~679<nbxiF7fGOV8JG5s5h<l>ezS9y=CSwdSj
zT%W3|bNyWOO%W_=3qI1o*RInfsz=>JG4lg`{;8`E3ZH>^?)%wN3I4|E8*P#@gO~9t
z6425#bKPIJi_-7!+{&Zo$@Uhu;)qC!r@S3duNWOZQ$Fv*sX8gX@QL!V(id9`UEUB|
zgTAPh<PM{r*`9yYfaP$2cVqI>A+!Hdr_a*bc%qHH1JVLI7aMxbZKkjlgShb7miu!^
z)HC8NMZU-{Z$uex6)+bdN>SXCjeytJMjF7r`3Bc<(TQn~DFey*3pB0_W4%NYfjod(
z2hq{$IT@7RByE+nxT;hmTXrdE)he}j5Tx+9Iotrio{UmdL5xH%1#dg>(GqKtg2|hX
zG`Aw!{tQA*3R@&wh^?9~TxZ8WHROmmao2E+CaP~UN8(nEsNeM`$J99SiWVp}SNih7
z6~LEv3$K6Ps0O_!awS@HQI&2XJO>sM+oYGpgu9%bl}cD7<3`0S!Pw{ymFoL_yjTG8
z@hpSLNZLy}BDUZ9)VqqN?H}D|<%Rz37EB1+76<ZyU2LoUtW28y`#P&JQ5B;DTV^4H
zSwd(oxfZe87y2d5kFnNhTu_u<uuu4FyKOR-AOOv^11^Md*kRvI=~(Xgavilr9Ldo1
z4nCDxvohtAx+A;kjypyR+aNK-DsPFae<ZORb5S5fQ6-dpMZF7WYqD_38#~+X8VJ_s
z&?9t#NIND;);^qU=Jku_LFGSfsZtMj2$2%N)$BFlEQ}@H!KW?i44%<)<JYPQ#8k7Q
zWT+7D4js6%Htvy<X9s9qFYD}$x6&~hmW+q9wPA<}^<fGvpzjoX38z+K&jiL0t;3W>
zDdY)O3qCTqfz({ct$Yiq<(r&U$nFU~V%9Mn6ya`soGqY&X6DG2$BhpsZ~o9M_p*Rq
zLD5I3dg&52hM9EA!u+W{WY%2Iv~2`|T-qxYJa;qu@_F={jnR$np_J-11g6PUaQ(c_
zskP2P0P(U=+je!inEh2PFWjiRq^QH7q-yWz$`VS6M{DViVpqa~xjQS#;j)tbXLep%
z*~11<Y%@}u5xo2L)a!@x*JlSih@Upg&((KUZnO&F5NAT180*JMFHsxgd3Hx~4EH_b
z!HZ}oV_kAedFAP_jsRkH7|;A-O{bT^<44Rl=|A+HvH!QeGki8?hX1$43?Ki0-eYE?
zB4c+zkKBE#<_?##0W|C?4u~Sy_(<TeW}{NMtV_VKEgqi_UwqxC7pE7PW&@Xh|M=!H
zf;+X{mNqS{ay=tGAU2~r-O=M*l2N?dR<?ITYc)AJ&-@K%M5z?hbV~NJ&~iNTbj7P<
zc3FCZNA0nl942KVy0S`avvWD3R1eqX$J9r9?C>f!Hh!as_tBYQAHRF?qc5R1!=z>0
zCUS!M&Ai=Vn?**7%W>Ko&!)10YjB7y4Mt(j8M(PCvkc?8273WWprMlXP4BpSJf91O
zYR5a%!%>^%gGHTY{b5Nq>+`zL%nQ7DTFa=j-QD!5W#MY+#E}CF%7_l9N~N07b8Y_p
zyM_ys<$HcV;ql3iLAtFTU)xwS_1;V)(`K_HQ-9<=oGQ`)DXsL)mNpl;?ORNmI&u02
zsnQIY%Gj(vLT>-BO*5&WbYKg0VBjDe5*2JxT|Jvzt)5+-G+kPe`2dgy*|U7u1+B_T
zIetn^<oMQx&HQv9aFQKUYTQU)!i9W~zyOAuC>uzu83-&EqKkKM#+Jrel0Zj}5n=RA
zKl|ez@Ng<lDf-dxji{`>CV(s(4B>zpn0qZr+MmRsK#m<wd)7Y(EQ2%l5ueE%#Tf=N
zj2f|$YLBDF1^YC{ELO-ZelW^@M;Q1w&>JOIE?04MJc1}-JZw`9veV`)EwPpXNEUq1
zO`HdXo!}X|AL2Zk`AJv^*q#)@fzZA%`%6$rIiBt*n&ZBJV7wgGSMUqk2XW#2M$us*
z;!%0vR8%4l3*}?0JYzN{(%V+~%Bcu3539u67TH8ZAP%#e%lG85_+gW~;(%2ybN56d
zYSv@n!711I?6KI4SB~?+W1(R-N!B~}Y3o#i&O5jH--C@)iL!r7j~)vhvq`kxxr#TB
z$&h(v${*Y%O_w<xdcB_|hc*LJo<1)VQmgA|^E_=g1%pUxY$qRtc^gQo9dTY0qrb4x
zxlwy`p0<^S{{b3~{{RgW$Nvg6D#6C5LI?H#BQ&tzub1~k?&~jqF!|#0%&z*kzTI`?
zl(%iBiM@}mrn5Vp^fDw~oSdL<ZXRkm@ua!9v6Qkrvw3(LR(q>fO!Z&aDfL>W@ASv3
zS~v2nm>PS@EFR~Za|3<WzPsLeDqwr|lCC?};bge>_j=g|cN}}OOj}26EvIPSO+J(s
zTjZp<9cOF`%rC3C{ti;4>pIt;ms_tkyZ9jtw#K7^k6)Bx(h|Mu;9ME#-+w$Zrw>+c
zy9i`9o@eE7!+e)1y}?WC{flqQeD>eiC9h{Zzq@Z?mFsh>(`wkbwiZ19baSAye$VWs
zJp6btOLsQltEi}DEjlP=_%8aU;~#sEFEna{me%}cNtqA3vMC}-9Xol4P-=o!K+~i$
zKyDdo{WUJHpl=JQZ)PtH92UTYib6X6hmJ+yII$2B?VM0Sn5MQ{L#HUnxVN(M_xe9;
zEVs5khL{nB2Q+mBEC@Gob%0qg)Lyvj-d_fT)zii%EvOtt@zo^hAqHM_GvDsN?5~H=
zhX;5+V-$8)dl07r!R$}~a4*D2`V!h_NHajIO!}t+rm=_IW7wJ?Iza;jQNb6G?y^=m
zqaKGHhjTc{cZAt&2>pHddL@TRWm6822jcn<`!6Yhwpbq}#a2@RNCS5`igF;b;ygn3
zf}BJ!Jo6-g>`CG52<!?1z6Au7<7l2E*>7|4N6KJ)1irDn5a-Tr73}9j9+dk|Ma8o*
zkUq9cQ>UULylj*&9SRY%F^arwk&T7<Vmkkjxp^#({D;iL|A$Q7KV+=_XUO~)O|Kpc
zA^(u^$z}Y93`Aa;^ar=e|9}jar_Xbx)9xnNJWuO?A+y?i@_~!jMf6|DjE(leMC(rM
z(cM3m%l~&|Sn2<dKqmhGBJ+Qd`TwWP|1M;x;>$Jv12PQ%0U2ic|Ai?7{okgHumt<l
zZe1SUKFuaB|KaKVV>C~C7hc_FM(svVPDosK&w2sRYe`NCpPP=oTUyKUyK&b2`o@In
z;?>=d?q}=PM#6Skmi6M&VGxmB=7W3f)zC+-@s-#%Jjjc|>+Q>HHTSdN^vmf7`^t1Q
z&}$EFT<qgEvlEM}l9BH?-6ovNCO5<V7>8R(cg4aBFm9;6?|lDBQlrqe^0x@|W>7P~
zxa#t;JI4F%!x1bHsvTe0d@k#B0Zd}>^zPOX{Y#$iz7W0NIo0OsG+0-k!ij0?X)Twg
ze7}3WZqo#=w$SOfhg+ldPfkD8@pn^`^hX1~iiy^G!DdS9E(;#3IJ;g`G5Jb>P37+i
za_t%(X{DobZ*ZNw*d=~K!60KOpxYXXJ|nZbdZ(Z|JGMdpK7K^VpyX%Zpg^I%V#!=M
z)LB76n68eSLnkSSB?krN@6|_?D{iemM%akr1A6@s=f4j#Lm>A6b};OHSZw>~wbzcT
ztJOeRisIV{(gSo}dRdF^KnKx7<dJv2uLz~B6@RjBFoXdO@Vh-(MS#>X5T60BJyU=+
zulR~ncQ{6%8o)Y%K?0}{7Z~>lE1prW!;I5CoTEJv_y4D|>i~*s*|w5%kRVYRa!?5~
zzyM0ll5@@s3>jvKl7r+ZA~^^QK|v&qNCuINfCwlcQ9wY#kemU5KivE7uUqx*ulIgc
zSDo(DyHD@#b5{4-`&4&(ao}FzhSC?M73q%;WpLt@QFYbP1<se)JZkSJf1^O&sra)x
zlGc8lT7tbO1Lu08!E!Sg$Fh>-83Bb}WM_%<Xa*ItVXWWs-S5s5sxP#|v-8TdC3Nod
zfz9<jebwGgk`1S%@`0r)7NE-SCi7rrB6pdOe<THrkMrqBb&X{TdLB8VJ&KaidAyum
z8$&VAcpFO|=Efg7+7D;yVH4#KbLrQIpu?FW&v-NSi!@b&fRgJ&bk8cE85HTu2R-6m
z=eM%lAH6!f5W2m{6R28OXC1T`{0ne4FeB@G&^MjZ(K%o>-y?8^qQV@%#VO0?K$Eq>
ztKk2D8Q?!)M(qEK8S0L|%o#SWNP$1i8Kl6pYh8MdCzo0&7wg&nEC_qj+-@ZFVHhZE
zJdAlStliVO)%BNu#U07uM#bPgjRzXxd#!(%Ge<+>YmLoWwH4o15;{&j-ZgW!>43jh
zR1XjlEsCzAEWeVRNDqEVYei8@#C_|UUurxQorxO%3p8jfXef_&W#H=m`HrT?Bd3br
z#Q&gXRvcb0o1`O?*>h~F-e8pWbiqd9EALOc1*xAJ`AJ$EqwnkN$&>`1OD3N-xlnqf
zbGct`h{x4mDWy{N{6^Hd+kn}AUOvy8pDSwHgGLgr^*kOE2==~Rc)9s)r~&hqxi06|
z_(x!Zn|%8)vO)3fU5_p|8TWMWPA7G}8oYVKtKAQV^|G21U*s_~GLPb}F_Q$rClM6E
z$sg9W-=cZx?W0D*K%~xP$?B%rBB5sgCD{Pl_XI{lA$`34IB`u(#Pl#h592&*(*kdf
z0#c?RzTfP7de|LtH<6-`ED;{BC>5#5s+Sxp$m?+b;F*HG4$V#FgJ{3)*}JCBVTHX?
zS46UQiSw+>_^#BXdkPVRf=1-^T=x!Wt0MCW`l{qB;^irTc(0?1<ll2A<s34va!+#*
zHlxTzjtM29H><Q_N^H_!<D$y>l{K{)Nkq1~;fRu1!b|;6ASY^CXA<f4s1`d`TEacW
zNi$|w`a(pB@#HtAWhUzyoB(<n9(>K5Dd`(;-vBx$K&vrCo<1r;-2*Y>B|4hFQ7K})
zMc(7)fwC@J7v)*MGOYt;w<gZjRTp)nPQyOUovUZYi5^Tc?8c9`kNbx0fUFkIMh`5C
znNZWtDq$zNdW+6ZE1^yb`ykq&;@mIiqxU+-M~BZxq5B|*_HoVaP$%F%C^NV?xA*+s
z`l567fs6*?msx8|CzCdQ!42U?+g|GdJ1l&_{66GsH)1ADz^78xZOCYW-z)LOmj<>c
z`uO2ETcdUO|9~FQzoSPS4E*nB9K#;ZGGXeDBl<-}#A$lJIL=dnMC^tqurEkgtTTYt
zyHzbgUXJqO{3Kb?scjqQn6WE2XpMJcZ(zr>V*AwA8O7=B<qs7Kg*b0)b|zu%8f0rh
zElY82t%r0WrOwZ0uUCb)zjl1xu$WDzDr)ze-qN2>IFVMLPwT%)aQ5ar;5^v4a6s?i
z>&mBs{{AtE^rd_h*2Po=Vso^KCeIA}8U{80)z`<lxj;l}l7C9>KtB0f;K>-T&p`k5
zg%Q<*h*mW<WAJp~MQ?!L=`Wn2wsE_r&DsaZ$;V?GUYFjC=Q^L!)MHq)<}?L+_O=ZI
zQ}zw9qkYR!_>PBo4N}!+a{Q`Y)<XQszn^9Edcs+KOWgVriBx=B=iU{-CT<SzwA*P|
zP@0*(D&%Hg^Dd~$tvuvzx6g7fZKk_3LWjHHz!veooIDaiRo*>FN?zWr+pYV`f?~<<
zWihJS=EQl)CJPlve=eF@$fbibLLGPZkkS;-8sGAUwgM5Q1O?-c<pYP;QF#jXS}B19
zH19|lF+n-pc&z=pgCro=a4)w=DP?jW9I1E7kwT7)ETZue2MiH<m7;_4g+L-{4$Jc1
zJhS+_-6QEqte?l>-}(9oelReLag~@cCT9;)ol(FNyE7u9!+zeC@3K@I%$hKPE%gTv
z;1O!yLI-+{grgJV&Lf$!0A0_xx(qeLstGU%nnMl5_w3<8Ap|x=$Fh3oh#bHV_2|Es
z2@I)@4XNHARJ}i>dOI`ivAoQ7Ovq<`Ocm%*PiRQBgM+OZ8+h27+1dQGWwxV2K67KB
z5*R2x2Fitj+8=(n=NY!b78_3Yd*w}<=SW%WamUi#mL_kj?owz$$8PiMT>u%IW&9Lj
zY+W|+jI2&8X5b&b_rKfmx-c(CKL-d5z~}AgWC$_6FCr)^EC>|mCl!+S^M!iB`1pkk
zU3}dk*sFn`y(`4Q7aLQALF|07d75_EB7guFUnl??<PCwrAWr;38jzp>FPI~o5BrQi
z1YNv5mF#>W06rxtpfFHWSX@K`2m(oniko94w7eYu?@U9Oowql{5g?>u=MIOE3h5du
zn+mG<xx3rjd3s(eZ3uON1F+#w<?jKEAuu?$IsiyeL{vmf5-2VPx(^f-|EpEl0$6=D
zUHl<{Yfbn8Zr*mjP&mX6;Qz0J;)0@r!u+H%GS~g)W$#KV_P4>o5Zgw8kdD2pfv*Rt
zkTyV6^4e7hgZlzN;@GGr#M2qu6F?Eke|ZxBvm<fW%nUv+K@&Dx*X>|waVtKv+t}4L
zR4IY>LEP@bI+3}Pqqd_Sy9;lwjjRn`lad~)&)>h&_2sEN^~4X)W1J9)Dzn~u22nvg
z<+dDly#mjHxr{ul2K{BjP4XtgO|zPhoVYJVHJ;p-<Kn(GVoAzA(5_5Ynvkw3pDXu*
z%U4nR6XT2=KkYDo1s!d<K7#Rcd?XBAiR`x>1}1Om4*+)K^DkMabhkx{ZV7XLkUg$Q
zaAsyrc#@KyJwqXyQZ}ib3rmRFrGCPFpmdkfMGhzf=@;IOu_c_wf1(SRT#jYRfBIom
zf}gN&^(OOrE<GKqmJc8)*T`Bp35iVYk#&P4Mtv2Pf1|5)|7<c#N+b}Sj^gZR%O2of
zYx`NIj7!PHMn6V!z6<uHLZf~KeMFDAKczxzOS&DJ8Guwn@WOIt*CApb-M;ftQyw;Q
z%nNqar;#9Num_M8kprydQ%5<G#z(OBfPGovVsfh}d;#g0ICp=^!lH$4e%#6v{~sB9
zg1pfQQw>si&TFiaq#Qzx6+^F>fDCzQonmQec{M{BdK~0vVr!AazId3>9JTJHMaIou
z-p_v02<U)R1tU<=k9^$5cpc5>^+h%L-2?mI5?3>Co>0jqmmOTlB?hbLw^%$mWWf9E
z*U9qChBC(RLQc)6OHK_FK(snrs54st{^h%PxmI9eKNb`&yJ>Vd4qrSiG&vLecvSnf
zCZ;H@DKz7D$BM$Q2(RpEGiw5^A(HUkUua6^FO%BPA3lopQ;KumO?rya7g`#!bc{+C
zAkpE-{U3)-k=mU$qcTUeaa8Y#L);eV)|1&#vvI-4!QP9aM`ud~;TLCqfi04C!%Hv1
zO^s<gaYm$ufNx_j>1X0E<`9ZrSJsYr-zH<R%QJ+?`q3eWF4kJwUk9E@hk&~T`Y|hO
zyKlxg&ir#4Jaf$jQm7RtpJzOE73)jj(^E|2Ok*-H2qfQKFEQtgOGQ+3xGo!{N{~-*
zHB-_^kdkx5JInZ?DTlkngYEq;icyWX*<rDtf<H|mOmC_@D(zrynDuLD-7zSK=Ep2G
z&<AHXy(ZT~u-`3ETd`_-#gbj3L%OOpD2~95b4BP-TQU52A*voloWaBN2r+nOTG=^&
z>8PrDugtjc(~tV(XP<5RxcW>8Um_OFvb!tA9kdM=dMe$I?>d6jEWUpvn?HTq1ekY?
zD^4fA>3TxT7RHg0v_ip7Tx~5iSLdfd{mezH`sa)h4bN0m8HH{6FoKdnfjQ{;LI$3*
z!J}HLGkXQ8jvgGYWS*Z_;a5{^rJCusIf|arFv1q9%=>;c?|h7>o=)9i{X*zyk%AyV
zugY+8JzDGY8yhBQMnGAF2Vz{PFFB2GfImGiuBz26e=NZH;Z@VR>0y7^Le|7gy7zbD
zQ%y1{!AO!7i<j>OaPrh!DF}WVG_@^LRuHq$^h(Khn9}9E!LG(Gu0m!dpBR2J2R(j~
z-}2*84wwI=@C{{41%rDbo9~Bz%sjuZUzWvAdrNHV;>|o87w(wt*R~1&(kv_Q4>FeA
zis~EvXQgSjRBohhV0vOB0o<y!*ll96kO;2{Vq41_kC$-CxcOf+nLSM{s6SRQppl}(
z<HM_fHauccy?j00_N>Yb@5{*}tBTl?#`jahDvu)u)YNfmR?U&GKnKf-TJuCaaWY%1
zQP9k#u^k_y(fo$Q{L7=CxYEHwiycxSCv}C<y8#NN4tZLx6`TY95+NR|PM!Q)J@ONp
zz%M#zW9bUcoRj5+p$(lwdsu2kqeSiZdM^XrP3ugpB-D&MaLg=<)-cniy=N4Kclnwg
zw?Sbb$aqqI6(@X%%IDcII%o4YZSg@=_y)-OFmaY;@}(Y*)#LT==OA9$_8^(L#kkBk
z4orQT6g!*Ch+5c2S!-4ra;KEWis3Dql8peIhRI*vW*k5=4JRcf7ZVJ~(wm^)M>4WY
zY;G=XZeqym(S<q~<#<)e5lq4O7T?1$S+RQKN$-#%6XhV4n`?fkl-a2onN13>kFOqX
zj?F%`IjsAg)-GUzyS+y<!K*{Ln7SAnu_){kL1OnQaP#s3N;LfDxb!6*E$>>T-P}ZZ
zZY*H>_sg9!^}W@#y|Q0yi=8Ag6<~DLYB`Gep!A|PR1}Pc8qN-s@2uT%A{$HMIBQ<b
zYELpDDyuE4Ok18tEo!;pWT&*;!j~3UlnuyN5Ng=G<Oq%{6!S)!p3c&S-r<2otGDH8
zgfi4EdF*!uA~mepmf~-CGn0r3Ae@_1#}#VOnqyDK^@q=Et~>zUg5mgdfvm4fbuggL
zaVj+Y688vgltfV%NxA>NMy9p_wb@QW)=@iv=%l=Dr&JXFZnQ$0G1pLXFLYX<AjEU+
z;oS({#*w6{_LoURyEit-u3%>3n6F!+_F7?jN^aY~Nw>Xvi$<6PS5I1MU||G+v;M9l
z*_q|Rg^2wm4GA)(KEDUAj=bZn=7)`)@H!sEZAR(oO;d13OLDo%y0IwO8g<_Pn0J&{
z^cru+2lJRP`=f1YTbpEuR;6>wzD1cyElR_!FHh`pZ|0af7`r3k*$nl9e~piZo9_~H
z{=&DsJIK=-y-+uOKZA<VJh4@*m`J^I>Q=tPf>w|E%xFdcxRT0P8a}g8|H%qYobh@r
z!)>F=5B@{?bp_Eo4TUzGaN~mMSvHnA-jh@LccJDUY)otUpI5UIBW}T{{6|n5dYMLJ
zgrV&m{X}b}LvcgllmTxx(vE)G8}R6REVtij+Z49t6VKTfT_+6PFh}+X`c>9~f2<iZ
z7Vk4KC{MAR<++Wu%Yj*rDcq~aJSV_)MM$@gZqJ{*6qlQ1bqjM<R;3HVPrJZr*>(J)
zJUj%ba6q*%jUhcgR`1^k`d+v5`vU|-0Of=WZD8)nC^USiK=bM}lHU4vstEqO|N2k%
zW2z5vA{A2ibc6%~EQA4I5i3$51DD4TY>ZUM1YjWo00FM=>3ezk0>rQXv+7@qJ9z=b
zuX*QnLJ45;5GW27Qvxd}0kLdQNkvi_EFlk85f+w|mlOkvh>I!80RFQGwwC{;T>rhZ
z<MzY@?Or|V4=ZpvCAo{FhapKqA<=Vg_I3&i3Z?ap$cDF#J`Bjc9(vQ9FXlOK$kb}4
z&+|7%-feyq<x~%ste%J=Fvb50mgQjLxd%aw%HKJ)qnh(3Zu7=h<}<}u*Jvp)Rn)9H
z_;Tk&CSo_n^JLzzof%#%9kIQ`tlR9mhOUyoO=(N=+>XH5j$)>E!^FL*=4f7xWyS#f
zsp8~}+GXVNzS100<-OX2(+|$A{p((<+xI5hbdGIkqW2jkV<~-C@U?e$(nMk48QI=B
fCcb}vYj9sXm~SAKi<3%7NQi(*xw(~fR7n2^7)8oH

diff --git a/.setup/latex/pdf/betaNB-zzz-references.pdf b/.setup/latex/pdf/betaNB-zzz-references.pdf
deleted file mode 100644
index dbd304d93a63b076d60db9f4827fffb344d33b2b..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 218457
zcma%?Q<Emlx^3UGZFJdoRhMnswr$&Xb#>XcZQHhO?{DqcapFX*b+Iz?BL6_f966tn
zr1HX|w2XAD(4@1AL#xn?tON`Mc7~SF+}zOg(k8ZM&gKM+tgIXa|GS{+MJ=qIO&kg6
zMXe2-O@vL1?2JvId3m9ooE=RJY@prOtJ3uBHrNn*cOEDoQAhcuAL1w?J+S60r!rZr
z62MOVT@fOuRyAqI;tz{OyFahplM9S3QBa?P;@S^>QEtbHMT$*?i<v=uV!fTe>pzQT
zh+~q4$mU;ch?hr8809NF6r+`*&y~EIGNo8twtvp3jU<)rGj%(*R68tfHYNF0&k%~E
zL-kcIBL_*NEkpn%FdDE9xqrCiCvnvD;u~h4JiLcyl23T+3;@WgwHDJ~2SC5IwP+q9
z!l|(dWQY?OQVLo8#Yr0GMU}E^Cubq!P9A&Gvbz#Aj5B0RA_?7DQc^Q~J;~qJRm2!#
z1_y7j#$k=+wSA7M)|xIlHE|Qp0{a#PKPtz(W*&Au*1U8VH@1XLZ!Pm4RP26}+|kvf
z(ydlwo$)$Nkz!DaBLV;2@6WrMu7PW^`z-GZ3SSBNh&%w5YJrZ~QSb=lHM_EFrAd%9
zc&gOn_H;Nkx8bglidJfe=HXOaPN$s~;*e*t&2|&fX{s<3!u|sSyOD=6HKjsm*lqK`
z3U*oo6t$FymYOJClvUuHq9&r%Ok=zO%Txp!#zrzZ^HKwEI_o;*oiB2E03wuDt+iCD
z{<;a`ad@z!oM03{UqHw{?KTKV1opp&cBy_U?(F+{i!8o}%%m|{&-A4dBTkaRnyK#&
zS|n!F&oM9hpi8%ki2w&rR;){AYfFPxM?icK7luQQj;Uw}Iz@Su+E0;FYO#njYY@??
zZP%FI%?@EO9X6oIaG*?1<yJU5bv-4$CY>(y78F^9mq>lT;%B13vx8XFek`uVsP(|x
zr1RP!g#Ojz1hYb;gEDFn_>^+f9i|8VI_G>YLB(y<AyK@)tJp5G=TImnY#Du9O|iwO
zn1*;srF&W42@3ceSn1!g`P4oS+{F))7YB<<ezf4KX^|0mjA-p9J!^qt<Cb}<Ziyp+
zk({~cwBL#ai?M=UQTzx7r5oPnN{@_0yfI@j_C`cqu?yx+sZ~Bdfo%4HFc3wO#cBqJ
zBnJs*CcSP@{-o&@ocuN+l9+O4TH<cb_|5`C40Pz*lYf7Pol@<iyaPQJ>FO3SO(vsK
zk)xs5UP}IGc2V&X9=2L$C(}T-(`lfi(ktrrh6!cw`XJ=VX}?-e@d(d7STVrN*NFUU
zD&MsOh!+QXwt8>`=}R-VyoU$kAF$bq?uSKd9kp9lkBbQ{*D;v7g50#}vMCYg!s2sE
zV6kDZ!dbO14WzBVBB;(~Hd<?KrhOg(cYn=~{u2K^GHuMy*W$*|B_t8mV*d(X(6m88
zHqT>+zrMwSda92(&!x9yg>dUwtJ3J9xs|hQJdOO|m~ZmlmH7uYKo)`@hweIN)EC*j
zda}~_S6EK{no|?zGkMDzif@I;!8Nz0dm(coeo!YQvKejVRsncRD4+I8X8YHEL)&Ow
z_@l~V$E)`T_~D9~qb~awR$MA7lvUn4$A0C?9?0eiptN{&Z&*ZOywfVuu3)ttJ#VDe
zD7iPdY18bqNzPYisn$}4z<|VToyoQyBWGy6`;<m?KoI<8KWDs6d2@2tdTf`)k8aNb
zcnjYqD9o8U>CL&|^OUp*C#S659&bLTyhSC4c5@r;^5Hj|>*1*!<*7&sD$D6R=D6O9
zt4ufHz!vn4{p$FbOA@<B1WiJ-xy15PK{%N<_=Qc=Xx0`51V@B0IEFQ>;DJ%c*op1q
z=TR!<(*zP@G~XfLl&&(iF+b=@MP-*<>o*WtL?c4Fbg}Bl$hRN(PsGm(W9|Xz1E;_F
zj?hRTg0wp)ybY8z7EWF%bZd_0tGid@p>}bi0|$SSnY{9u8$)txIsAB>Zs-FFS{Mo4
z1(n{MTRhy3!0ZK!d&v5t-nqPsVgk*$jMBmTBLq^ihodfB1;!cS6m4^82yDlEpGl9>
z=rBL-BI{3ElKIhv=5u3ppIG1zQ{X!IfRM+7ju1~pmV&Cx@TAbuTS)DGng;^4A5!Jl
z5G=V((>qe>tP!9b5nTd}NNDwz5)y%$4HGKvqBpiTagCXhRU6%l3`8@J*D`O4Be^y>
z6AS(%S0V#acVA&;Wd-5~D1Hd*3EITg`2PappVPm>g@y6oQ-+C&o%O#>nJINCrwtC|
z?i01s!@P1DNQ6WJp9f|X^67T#l|zO#5b1t&HwwjpFdn?0w=2=0#>1kA)h_EYNdPt+
z;@0b}3y8NX-$BF6%`48)+*HR=hO{ZAlo8g9?X_u{J`_d+M}$UZAW6;_9xhvp4_lhV
zt(e8jNmRU8-|vF^B>JBFa2QNL(QST%2Qs*ihGIqO^|`4{dw#V%BDiZeqQC~)Mtwff
zk*$eDt%bE!#bjb@H_q|+`BQOY_R6@7*{2xaE7tbMGhx=x!?Abq{+ghF0uyNzopjQY
zkH%p$SXVlPm%Olr{ZOgL`GggN76f%;mmbbN(Dz#C``qP1r-}J9udjs%`US0BB#8ko
z?|2vSNdn|Ogp!GRT{RfW86xi7qs9t51rzC*_D>Gas~KG&_LhpmNc&$gWU+o+(nqu<
z9v?3=@{nU1<hfg$6UbF}UX%uKH+*Wfo1H0N2r1CDRTrGwuy_ai-OXlsh5meoO_y!Q
zj1{notdF8y8f7N!VooGU;fTdN$S=2IAPA-RD*2>UMakdRlxUpR1~}O?dt$4Z_DpFs
z$@fEJwcjpqp}prIWmqMeJL|_7^j$Xw7bV`qU@%D-X>B+7HIb8>D<6&J2x1r{-QAtt
zrb)xo=!w*+j%^n$`0Og5ZpCCjV#TU18D7ME9>jAT{1yD0#hl&~!@^AJFSWH7)x$>d
zRj~FVqGU%yYIMmiVMD4q0T7}ho)^7~Dqj5U?9}8{S>*GKDzd*!8z^Di;3fR}MVO>}
zMb4=4eJCYA9#h$q_i3P>sQ*ddvR*7ELNk4jQz@cpd9Qt8BswfA<kgyP))o;B=kQGO
z^RA1EXiO9>@rcs(Im{5FTI551@<kCUD*GhveLa~#Xs9-tuTBpjT;<K@>?w=Q0q#iP
z1=Qo_#;ZlqE;5ytYxzRZiE<_rDVvcEd0k9(vU?x4d0g=tuK3+!S(|`xC3HdDdo6~c
zI>v=LcOqdX)(HIsXb3d7;qY2Q;amRUxrW7ktxrfztxrs=+z}C6h>1Hr2>yubA#IpZ
z2Pq+Ya^uB#{)E*+UZonXnsZDwlFYNiB?n|dt15TQ@f?yBSEI~!y`|Py2w?*6m(aKI
z8dDo@mIq{5FLhs{6wCplX8QN(wVxCzR)nTtr4upSHzZ+g!(hg6*}qf`!^BZ22I^4l
z;ITb0POUGcMqd_1%h&->)s06a+k*NuaK$l`079p|17+N{>R&ZBAxdC(_s*ZGz-J)^
zXs@WCGa!l_h5PyR9l)|es@4>(*!%EUe^z`zO8*){gB7CrK@{(H3J8eufhrvtl=o6o
zN#>vxqSy^6!<9kzKkAc9CZ!pNZ!2&iB608K=6Rs@y*R*RKzjVKe+rVvq5NT8j;H>$
z9RKlB$^%Do`TJgAAHO3(z8ecFDZI$=F?EAQ94cZX>Z$l<cxt)N2q?#e2P3OK=P&~?
zKQDe``lb?QnYyQT*fw2^z1q&cQ7)O}a7wb<aqQrL*vjCSmE2gfaeS+<6+{cUF5SqT
zyZdlMfK%_bq2aqap`cX~Js(Fl++TX8&LwLhy{?bn(;VyjphblKOjL23s^=`NG;Fq%
z1;ZgL940{o14Fo3#aSJLib9ux9sV~w1}rm_&hSpU>2JXKQ$5xnVg`CLUaZm`VnZ4V
z>>ZpI_LnYDtlYS4(86IJy7Ik$+94}1s{Q#fAV4%h5#ozBuMXj}H!A1+yIBx16DT+a
zTOuV7=Hp?__~R1nA$v1yw4^7qZ^3{Thr`27Om1Rus>AkTT-b{yt8I?r8L&JEY1Pis
ziFKOg*2;A|3oln&j7-l~ufIue_sd!x-xh=n@X6tYCo_`w+#qSO(g=dnqqkwLw8A7|
zqrt`1&VM8CaKr6sd6TuyOHHR}0&EF_OXl=oQ+sz2edAh!#Q_&%)RSr1HZPP++C-{Y
zOHhyUYX$qv*5$M~91idSw`Wc@9!FB+C(fJ%h{8RBt_KftyoWhN=D7Q?3aJFb{C*m0
zFCr@^A|e~0k@jGr7w4lQ1n=@+BO@ifT}_&^Q4t||0GN~p#B(vBGj0B-n{CSia~$6s
z?ZB>vOA>erE<2rP8|=<nQ|j|RE#6c*vmr?sket%<O~6qVP8Sn`{i=juY>=ca&wQB4
z<?5&YgeQnuNtVA+DM9aW&HUQ{?B>Be>fi>cdxsBo+e#TuPZaJbBzEUna9N>R7;2Ii
zJx8^aIK#RRa)%g7ye{09Su0X;9UXOx$=Q?dgC~1|uEE5n8{UWP4;-2|%MmT2f-#|q
z1HoO;^p~M*s0MGA>(Pid@r&XU%tj9A4C%B<W)J03&|d6z9WXDEB^A?!NVqQzrGqq3
zLi4E4&WXV$tGv<5+b|UI&_EqV;Nwnm#6CN&@RzaPsLWJrGQIEZhr#XNv;v~m^6F8t
zZmW4QGo});isX-m%<#QAXyKd-=y}YBW_yfraZn`8+%SS^3H_{M+gr<|!eGftV;8V2
z#N+QK=tXG9L>r3kWOrgXgE{ioKL_`Fm0^eqYDus)#OOr_2XMMo;agqaI6))DOusi7
z<{&Jk6?F!-zU+JSuGOo%3j4FQg<SCAJf&nZ7gba2PF&rJ`98|Tz%qtm=^A#RaokPA
zzMZLV8Cs8}x0Z}6fssgOUaOy6XXEc&XK!T>pcXj4hN)APwdqrk4JH?IWYRL%`{qXg
zH1z2h1T+D~e1SMyaNALGo!fczJn&&7N~m)<0OjFHpnZ`onq_p?b|Kk8SwVE2If=lQ
zS3_@ta9n5|v5N-e7xlnjIO5o+4k)8uj1oX5a9BYLYI9PUfrJngkpWwP%dBd4aqZFt
z*IG%Kpl6A`Z20rr*Mc=eZaSO2=zeXNb5Me0U0Y@P(pVHh)=dn0n*~Ei+V&Dc7&jx=
zXiR+X>N7$MZ`%CIF*8v)6mjW-tFY1*#ayJxgx5SSoz4`XzAjxJAwi;_5*l&I@jwC;
zNGt*hQ;r*F*eKEkMdC=HhkiX#H)T1y?Jpegpey@-M<%x4{|T9x{%d3^`afj)P`gde
zFQ>tz2QH-7a@EbcG^V!dD7GZyg3t^kwWUzpBaS%W>)A4oPsP=Ip41K&YvBicJ*{l*
z&Qa~pZ4iHpd-=LJ--{M23^NhSIJ=;j1Quxvld;lF=$m5sM9w^HvyL>hB{KOA)uP>b
zxk_hau>929Wp+Y4;hU93iis$`(#y3TatEk_&W#jz)0Lx*MOl(9v^vRjpGLM@N`RRT
z^n`q0r?O<INo8*B>b=)fOTM6WR2RMtS7EO-*G^J?9q70mWWHU-RlFoH&1v^~n23fs
zJ#G<={Al8!w~*<wzPakqguYGF$~)+w>3Oa&X<r=1)N!eiHySERwyO8sLTs+CbW+|=
z_aSG*%xrP~Xf96C1TgQ`Yhdf`_BPq3j&i&t4rMNHGe^y478z=PxbHuNk``z`l(B+J
zCF3d2;z7qaNS`RFZdpu!^#Sm?krjdn`lg3A3Qm)HlAomeRh+dL;#BX-dgj{pL+@C&
zdRCH>O#b!g&4!!~K71}ji%4WU7|yzC52&I1X<AVe(~A{;O`Rk;5ET*CDo&0;&nl4f
zyETXEe?c;{H=ARxX^$Y8n1}T=arSu3fufn9F~Fq*OGBnA@*&;xUw}uNB88wP3xqGg
z<KQ121Ii_Z@Sh$TJ_3zVIMG9J(UpH_rf_4Or}^Gx9oqe6dJ8Y_p`ixTa`oOx;~Ssm
z&zpx*m~F+C83N?KUB4~gQ<^GrfWF1D+82ikIoA;lUx5V{%Yxy+lNIEUwi}TB!Xm%g
zO4^I@86LWg)Ae4xqjAsmXM|KyJ>OdH4FAV<r?kPw{4GT5c{j^zXJxlG%Co^?iHV&2
z=wstKnBm9~8P;kFa29uUWvG+J>N!`g9&MYt`Wkex?CZNG>n>`F$+2p1BIpkRMu_)N
zZM@QPxT_;MBsjrkut<2Lh}}i~wC&P<!=tTXuJk)+3Iz}3w1@fiPq54c`7CV908`cT
z94<x8qx;f)w0F!G0*!Qc?lH#6XK)Pt+Gk5{@Cb@VIk2|Ed;PFT&onX$@d=QtMAKEK
z?_9!^!={=)!?`Vw=J|bdIs0Ef2S=dd>rC!okU^yBzcwu<j551X-r*SbK{_%oU8PyW
zDIm^E0M^T7W+c0nw@#tMZCf6yUt^(No{PQi%&o$|V|Wi!yykuMUSvf4gOs-9KRnk^
z5FMz4ZtH^xUvKiW3q8jgr{MFD%KWiNpXrIR)h8LMj!2FMNP+%A8GcDHXFAZ^@;x~K
zA_54PJFefTrBOEn15slD(iI)?G1}O=2xG8~G%SH=S_{dUmfJ$w;!9Q!9KpphqOlgT
z_6MaH2#KPc+w703v(@?4Zpqh3Fc|8g7$*+pfi)S5zDW3?%x*SS@NlqK7mv`@gYt&V
zDs2Ld#8d;;*r*w!V!M&I)ls(0(T+X|{9P7i1kOV?)|euA1@Dk}JdOBY9)8fHSZu*Q
zu=@xJ@Q*lDko=0K0@=DX!BlY{XBO)Y0r6$hnJTWsM4Q>lQX7byhvXoGQtc(Ubl-(g
zM#qp)cW|raDcY<?zy9kQzsD0q$I(YlBZQ=UDbVT_M-*_S_%~cvZ<hB`f_XDik3`#B
z{|puJ3qTK_mL{~%eDf?T)r9kNq0gQnP1?r@_(ydw;?r@u;svwl6<EP0b1(|eD`z;t
z2O-3ZjNS|Fl-tm-Ld_M$M(!r{%gT+~hJnpIuF`wHjh7s7?hzDr2z4o%s!*YS1mZ|M
zVdjTjeb*|A{YN#C-g~w}r~3w~36f)9sxZCyz6M-qjo?SDY}otlRXZVVXV?m}v?8X*
zxo`r|WKMZs_fK$v4)GuEw8b1ZBLq=a8uCt1qROBe83<ehb*dpcQ(qCm>WSJl9#Edf
z7T{3!u^@S8-Bz|5U)+L#QqW||TXq-}J5x%}trG_Cv3`~@pZ4g3iBH}l3LT_IKe%;a
z#6XDI-JfaAnL8p|AhzDBLJqRJ)0@)foZ|d(w7+hnr3ynr;9TK+G~b!EF=vg~-)&Hc
z^Y(Y_=JIf<m`M(NJf=HIO9he|{a4OUrB$D0o{OrN%5nSlPmq7Ieo5QsttJxZoE>WH
z35VGSlCz3#YWRkm$y>pa>ywn-T!;-t&v{ip5o{LX_Qy0zs*ig0ogykLm7?bC=7+g*
z(i758IgF%gBWvjuT4W8H!RZ%|e=xv4aDEpR<Mw~0`(dh&r3k!Q&T>NF!)(C>69f(Q
zOVS5|FSGNK_u)gkvw?DRfpRl~b0g~bJ})h`j5pCv5zv(&zP8!5x6{f;EmS}?%V(r6
zY8~sycCqbPPl(|$B%4Oy9ZdL4u^dvhC}lt=Pe}fP*IbTn9s8S92%my-y;AH}#tTYK
z=Vo9+lWS=^|7!dhA}^2OJNQZOKR%Nfx?3>X&%d7i14Z13uXw~5<~_*w`x011l2+Dn
zG{oKThXywyOnU{5dOReAEK#|?0DPn-tygJ<hr(krZx8}04`MKyk|}(e3OVGy3`%;1
zUeFsQPZ)S9N<N-=kXNadi!?@!D<B1NHC`WS7hx&GN>g*#=@&G8F+ouRYyI4NdSAlC
z#^B7&)(BWgO<wFf7KLV=G#?k=yOR6>N7`tQIszpW|8I+Lu{DNF<I$)bPn+@DWv|;+
zWe6+%&IRysTWgdVH4gZQI^2D{Z~_g>tu#DEDOkVKU`l`_`iF(`oX7WXQqml`f>b_L
zxlEFKRgpPBVZJ3}Pk)&WGom4g@ajBCs;oGdE}@;HI6ESdlJ?O8ioDjg>KnKcGT*(O
z)T<dqtT#AVVFUC`&7%Tv(Eujjn67Fa3sM|+Paw+A<ELeP4sfaW=bOqlM32R(1TPiE
zM<sw0{lK1oDv660zh(sBC+|24;r6EP!}hdYe!1vH9jshTV1Qu}$@Rr`Qzhvr&K#^a
zj_q>Vg(eGRKp4W=mpC)ubamFx_JdGd4qp840Q8&fKLHR6+ke{`RcS~$9k3yHfBe%K
z<(G>x=z{jP6<W^>V#)o<Y|>d9mvzh~)$9)?LgVE=xX+Pe2Sg@HkGZ<~Ao>pn0p2fa
zIt(~7<4#Za!>=i4Y~y5o4^5Nfg&kPiyYNY)F~>#6DH2HtGGe+#%}jV_%H0kkj9K18
zg2%(0CuJV>FJ^hKIAeVrvbRe#Y=drz`w~TZ7SbIh!IGncL##D<-p`q=(2v~vU05o1
zKA=v{$}On1qBU4vf*iea-ZV8o=GpQpJCG1sTdYNg{Wf*~ewIECLy6==sn~nFH7_u#
zDKP%6Ej3@j4T~caWW;4OV2B|1-F)IORe08KusevDrJ}m2i!PvlI&fAvCUu>`|2k==
zPe#eE<a@Ez7mBnW=m4t2RS#lBhFOE_qc(Q;vu`3oSEx)PA4=w;HcyRREfst+JbK?Z
ze_V>u+>K$Gg02oHo%4F}0#=i`!#Ho4Z%^dV(3t8#x}7LRLEh0<w3(ER0#>uFxXjB!
z=%H>+Wh`~5BMd6AsT9n}r+IAGGK)qYdVOwU#!?a(7z<^Le!ou|q|+{gw=WvbLtf`A
zsa-J4EV9A0mmt#{7Ts;OPah$NdG)TQDMslxpFi7Inll!$!AFb-6n4@aH(QuB184$B
z;KRY~-T4PF`L(0N2in1uxo%mPIF1wWS7mXuLV;w?CNdh3{Nxl{e_3xSX-*=-`oG;!
zhb@lxQ|iDSah5L}QMC+h#+7T!Wg8^44?8mkb5TN>Snc+qK@sLhEg!#_gy5qxy#tGx
z-#Bu~IIOT@EuvX3%eO2pR|_b4sB&PE&zbE{EXZ@FlZ!$W^Uu*zm0QnqOJ}T6WwGTU
zRTD&5?;Ulge8H~=t8Tfx*V|IHo-_;cv>Es{mG!t<(<TH<vrOE3#tQ;K8&BeKN?OXU
z%zN9T^ctW}qvmbGb*mH{!Z{5ES`ov_f-+grGw>7%Nhe2r;YtMZ5E8&BTx8I1<YfIZ
zA!qxbDhI)q$hDcrr(np&%%%5r;IEcwGt^pOZ9%|Bx?3%*6Ts$NFc0$LXW^k|pYoI#
z7rT!0>hnC((O7OKVPX(WPCPVM{Fl7Vj<Xk9+;~htcE#1Yi7RkAq_ZlYWpaI#%U6G|
z4REOHi?ek#{N^B5KX-s+XQT+qz%V#~eRe@KP)17a1WkA%|LsF7j2ZPK7LEA^EXu)3
z!p60D^|WgU4V?$HM(0)lf#~CST~Zb}<a$V%IG98ZYk{6ov+42mZs)8y9BbDqs&Nzq
z1QN%Jgoxr|Y2{A=K(n%uxHVv3_-mK5Q_CiNF(5gA_YN|72?Ml0h3H?SvsfE@tBoV8
zXW{%VnYRJov(DvX4u(OKPUzodV-3;8G<_(cBc#%|H7?x1?s-I&eY8eQrJA?$bX1e~
zh+ZvIqK>GO=4P{ns-g44a2SS0-r3X8FdnE#upS>Onr5Qq0RamKyI5#2rvl9YklLQj
z%KHnbz1OZF@Mdg1kVG_qw{Rtr7EIRPaHCqS$miY`@i329<gH8pVJ<Mfb-UN=FH26k
zBPmWml1AyYpWjr##u4rA$(1eJx^9NzQQt!Cc`sqkrx81$$pcqNaaKTEq}M?OZ+5%f
z&}st-uNi1vkO%KK^D1B<hLT%e?`e{1w5Ke<2EoU$7~^OM>li5=H^G>F9uHN(5m?h-
zOhTOd*s3kcLL(tWRC|Z}3G@J{`Z^IxJe}xvNpl?HL{88et(K5MZ$e4laT<2V_tJNZ
zf|Uq7OKxl^qk7+EJya?#oJPLh@8rSurCwgjHJmp3YFB603)p2Gz)``r`m<c=MB#F^
z)znW$bu>=xhO|Es@ILDN^<vf3%;a0969TDgkc^kz>R!G^0e%qpSr@Td)8`<AW7Os?
z02c6&1LNQ2H3QjmqT(-$1IxXShPJ<+PzE%Ytr1d%M_g`I&f1MXw4x{M%ZcLF`r$5s
zRG2+-9Bb`*p)vah5Hg$V*WB2FZg^;dz!bJxmF2_iPyAY$D%w72|D8_NZu{qGHz;NO
zn75?H8)tqx{!p#Si<h5}YIW+`^vPgreGg&y!CtC8F7YprztvY_SQw(fFIC<f;+~(V
zun{xJ#Mxgn^>G@moh|cr58GX`I^d^<uJ-IB-9D)*ya&UfFzb0YC-HRPLl0frctWC8
zkJ}R?-b?5&858jcr2xdN#|V$t*Q<Q(WjegUUnUkRfQXw3h2O;;o)}XwY4zd*Uv;Fn
zUn1S9ZKJ5;7u7dpGG=)<e0ev;7ax>5>z$MxZE1NsJ$#^q*Bn&?n0pb}gZLfaQT1b2
zI;UT#o_^<^aXt>Z`v(&*Zb8Q9f2yE1?b>rQ>ta6y9;x4L#S3wxjM5hcS+hWXmY3~h
z>`G==ua(UI)WhDmV|8<OZbUaXK0r4^S8$`Zu9z~q+M&@1;s<OLYXJs3e{mZq8{4P|
zin6)cVJY65r?UNne%g}+<0Pa$<=(n<YBnH?Kq!POj!__!)A|U_<R0V?Uan9XQJ9yg
z_X~s%D#?&^2o8YTa!osddNl{Yg&{vTl~E#}fGIjY0az!qsje7wGUe_!rS@<(ZQ5Ei
z0W9Ru2;7^fuex!OQUl_+n3sB+WJ!*V0>_~K2guzK_U$Ui^Uw*RK(c^0%J6om<A`7G
zX_8Rv3ve&y!!?jt@QDV+p8RseuOxr{rI1R1N!nsiWfhXNP;tE^(3VH26QQ|=ihrDM
zJI1j^k_X@M#si`yE6mQ{=9Ha0JKKyQ{bndEpGr3G1onDX95R;o)gBdri*d1f+rAfF
z=SZ+ZZkug&$Tc!v^i$Ps&b`I`hTMl-@kX6amfby)Il->?qJX)Tj@Dg{Rt7okuLamJ
zp;PS!b$bv6scc%p)MMMCxE3+LUv;&y%HZ{kXNKOQL+0(=@9z-5rgBj*!@>unyW8?6
zkjNv5qrIJ-9%}-AlKG=y9lHFBU^(!x{@%Rs`1QMC@%llFxYuUbpaj``!vTYE`~5o=
zF*33I2P|S>W&E$PC|%2GqZxVRU&2Omo+%NeTfDE+hW4ce9ZCmzlEnu=s&S}{<UKxF
zYeet+(oi5$nSx7VCVB*bE(J;8`*{QG?Z~{Bv@-LWa9=WE_Mpa;ZA{ZJFH2WLo}o{P
zfs&<}YND?p>nrE0d-OzAqbqH;K6aQqH10$-{m>It9MQ}iS|s_s8yZF9A|Gkqu6=aq
zr1FYwMMPOMwqK@xB%_=1q^FcY_BOvFQ%8|m<~+vJMn7(&vnbOoqP4JI>%h*+cBit}
z67@=qv!gu3x4=g~Lq0BR3am=OtSJi*BIKsQc=@-dzPiQtDjgsuTTPFl1hTN1nuQw*
z11E<7r<*y3>1OdU8<k){dth;*KRJpi$WS1C5qLARI}!9!o-7%RN+*rc94j|i*#9*!
zKC&`H))N#ZtNOa0dECsKF_UJ}H-2tP$B`7-(KZ?!&lUv|-2kA6T23h6n+WXMv9Ysv
ztCH4brs4wwt%Qc;|4{3R!ox2Z0V9Uc4m<2T0JPJUltFvdb`cJc>7jR1j?=P!xk{vX
zx_N0GxokZh`q}5*izq2E&w?DSLy*k-gEnemng(sDHRAa-O<&Z-q_w(kb^pAeT|dR_
zpzHN7etL2;>%WB`cTR&q?Gh&qMS5-@Pn8Ql)Z=aFWHS*y8io4{S!zKLc0(ayAu(!_
zGc_PcW{OcTu3u7SOc(BsL7_be06ofwC;*Yby@TO9!|Z8q#M$BMwiqp&3dMuYG^UpA
z$~sgxdIk;+#5EttJ7jm7s8j9QKT{Jg0GXS=w{30$gR|}j*&Kr9-21DXVU*$!SQ}eO
z-U~!nly3!|Mx*!2(mxQ;o@&K^AEE^`SC8GbSC-;?;F;0KTFT&?nAp^3MS_+CkAPo}
zileNljOw}{_jJ5w=v#p>hgNAHUpV|}Ghw^%?+7;nvvufPB&B~j5V)Z2%c?PmB{$}b
z;puQuqKV2}X0Z~(v!2Os4T10hldO`?{FBxJ-IGy+<(m21q(_4)<h%L?P^2jNLeTWZ
z*o4Y`B+m(-!}2+kTrZnd;;d9GopFg-TSlm_v;_oH3~7C=W!Q%vVPlY66|pPW28E2`
z+Eok@-u6gsyHL{#b`mJ;*h`zfF?TU+CswEPZmHotme$&YE2`1|8A+wLiz?ulGX2aE
zmq)SNWw~+nCigbJgJ!TFj}{F>^~_CJ${=8dcOs6x#(7%cSuXZFFvQXVuTc{J08+IZ
zS`+b6Sv^_l6@iIT`_)cDD$lqNJ(<OGHMc<D_^u-mv9AqRvG9+?iP}=AMIT8JrB8u%
z`M~LwwLjtnB%!JnWKBEw6i~2Faw9WI`sg%YI{VS%X*_*n^liv-FNG?=rl$|Jrr3bc
zMmvVg+-Gk9>na36OW;)-k(b0ind2;7@r?0q0qZ6LzghnCQ1{cBO#V|)4z-8C9`KFs
zhr*9WNC_5pph#Y2jO@CPB)T^+k*=~&puBz)geEc*cxv+gL*R*(Hq8%B^Opb)+2qd*
zhfSy<ODe5RaSAu3=4$TC{@*}K(EWWFATx%3It6{~`?C_CS(;|$=LJ#g>jOe8VBNWf
zJ7$C|X9V&{h5h$&PEV?Mnv20>XDXZe;-tQEZKXjN4Qf?*&nQpk<_v9yr)2LZIoRv0
z{@ha}1H9lj1zaZ9mkY4ZsjrxxeN8?z0O8(*vnLIJiW6bCQn$|h^oi;;yUT*>lqR4l
z?Ji>`dOb(O*{^|mT_IoU<<ZIV$1KvI0p~{vcTdMTj$oYaQE+9A%yRRWi2Uun);ZP6
zL|yGGyQkMDgd~B%31irxW73DG+R>`L7fr<|m1m=Hk`z)ErvFPFx|i#QA$Or9K=Gzv
z0|z?C3RJh);y$li58y@UxxE=@Vvrkmtzg1Lko(M4P!jdJXSfT-*NgN_5pZkD7{elD
z8jD=E>7C*=-G*rKJ|Gr0i5#90MG(06yNNGYDy-d~cn7Bb52GVToZO#b*I+T12%K2g
z=j*hW9-Y7P7cH5Xz$duE6gB&DeyyzpVIpm7y}B#L^hQ52M|Nrl<Y6L^T7u*q*kTL$
zZqRMdga8=M!Ca-f=##zucV0~f)hrz=TQRLyYy|#80V7yL`c<zwwNu?o(yD8`#j&%E
z7Yw7)`#sZOch4|2)^zb)eb+YvVSW6iM+R!tbhOy)a@GUKI7Xcm?sPvSa6%9#NsiHG
ze*E-cCoZ|1PIigkT+*A*b@G<&a0#KgLIX~g2zdjs4W}N{r9Rjjw9Y#D;LV&nl{JCw
zG?7WC-9^=Li=9JCwwa%-A-flLj!cTYqA74T#4O8TIvoa{D9G8E2nF6#)qoTQEZpM&
zray?!9=Unkh*NuRb@N97i_t3%9$$g$QT65bF8<Z5R}TTV{8<RWx&nC^T$1n0wUK7Y
zwW;=*?E`Y8vOoSKK8l>+HFN&_u8)XSGCzn_R|a?y#Y*=$hY5GNu*YKcVn&!V!uYmh
zK-VJ$oUOR?G9@rW%*)3a4kx1ZJ^o#RtR+-UpJFbqen1q&_o~0@Z4Y!9lTYrd<LOeX
ztnJXe1aLd}ME*g!iXpmiqZN9yoHEBHqZVuag<VJ#C9lrm$*iv{Bb4f*yn0%M*dB=R
z-LD(zhf4NVD~OWVAYvqSc)pNnXcKG@V9nF4;K-ffU|^hhL>92^z?DVY>}t0Skws%n
zQtcqu?S{T$nPBG0J5=^4iB-RGG6-IJ`kXHW`mC?Ye`kvSUjbG2us0!~mov0fa<+k{
zmnC3iVEC5=>geQ5z`@A&{}fRs7UuuDh?&x~vBPaa`u6P!#NR*|IqJMCVgTll$ObnD
z8gL9~43!_9XH~G=f+}&U`uyN+=t#5@iDX}AB@l4i+`@qm8}RT5m4c%@BtVtS)f9p=
zq;1p>{6Lk==SQ_n?L|Wf26^+_C!mZs)=_{rj;436)dndL6ID}f91ei9S(r@{hlg!f
z<X>SR*n@FqRg!m>FsAO8Uv!jrMvA7M2EMltQVS=hlg!g^mDUWT5XW>5oe0L69F~L+
zZ5G!tAX3zV8OO{Qm;XcwRuzhBqoVWS)i1h4pw=|+M;2$KE6!C!#SRcxRxLJnf(BQV
zLWcc<l?JV>YzCm2OYl;tv%-Y*QKjkYj}i387t0&Y<c~rtwFG`+Im3-p=qE7n7XQUU
zpbn`_Hy-wr&25N>Iaa8(h5O2l++?u*5qAeuVB{Vi;!}Vdl3)<0L<D;eIEOK+N2{2i
z4H-X$E>eBOKonZcKRwCMI#dz$Lj*0YWjU>)67J_z7E()_!DoyH?yP8o3UCW}{;C)F
zh_6!U7bIsmT35wH4g6S`WrD;GQymi=FahZ}PEFn9RlJvTI6lNjR5-t>Y!U6buy{YA
zq7DqSSNZCAd_LFyB%TiWqnZu#o6m*Lc4n*>pDhw5{Z}3Hbh_3947)GUkAC=4gIOLI
z^p;!4O2@1Z&bIOEOvP*$2On-&O?UrH#q|??TGnhA_nSk*dH0$PLe|wDboX9x#r4v$
z<%_Rhdz<6HP0pu{ldJFj(=}(O#C24B2@9`oKp!5@7OPkN$;K7D_ja#>&)~XW%XilN
z>|^qE>DRB97}%a)HM~gGX3gi_+gCGeAHJK;n_opA-5=oW@>6v%o}Q3)Bt`1EfGKR9
zjCIAr<LyLZHL$I@j~0mA%Wu!_FS(b`wFckd>$kH#@0P3B_MV>iZ9c!(GyB%gccqo=
ztLX#VA0x5dAdcCh)C?;_<RBNxZ{kDmKc(tFtE(UpqHc=fe@3%;#B4l@3x&645?In)
zDxQUe3yJLI68E2ABPxbr{V<l)xu;8q&XG7q63@9K3~slEj^l61tES`YD2<uon(F#R
zlr@zHVFNTPnl%LL3+Ek@#y9ck^H8J0d&L>hQR@8}`-I`vh(?x=Yq(Uqs!;@Wq}5$~
zI&%l*u>{fb?HZ5I7{ml-jVj$F<s=kMqQHQHlSF3FTBwSE7fwjgw;(m_y6MU^QH`nf
z)55K>O9lFg^aT6k`o6>bKA8#NRY_uq>|sE&uRh#vV)1he|1z<s6DR(hP{vqJG91n*
zQAz8%Ba^DmGj5$wf(ewKqW%WszCaaJrGa-m`%wZf9CqvYnmZahBO9GPIvU%nU9%gA
zZ)@k%!|&$e{DaG8AZ}f84OVY)3;Wr>XYoskJ|4a44%<9r!97NJ)cXO~mMuDPuOsba
z>ue6(G?=l+2dRA}>tbLF)q~uRdTVND9xtuOB3{U4bS5a6Q<^_?$2z?>nuLud$k4{T
zaB}=&9rO1vVbLI720Z-VsH})7M|`y9>J&-f<l){#nAYEj_LH-bBagvsSt9;><isT>
zxv=V>ui>i|E$=L&P$fAS>luw)YdYF4@afRVb@$#e`NmP9nt{-PaPb9%@d8+K;)?!#
zry*&;q>RvUIN89HB2+9WcuT>}B+P){xoyDqX^t{XdJXX03VEJO(1(Q}%BsGO_e|uu
zau4O~`THT8XaV>y)i3W{N)&@%w|hdJg00=F**4ol3tM1hw+0`!ZjQ@7ehzPVJ-Hhy
z5ou;We+e6#%yrj=#!ADNAnS?I1V)yvd5ys}Q&}B<nuyEA6-+7AaiEbQ$M}^<@PmM*
zBFg9h*&_b0idujK&gqK;O6`dk&&}?86hwLC)D5?IfMjyyP2u37N*mfBxUOMW#)@HZ
zVuImwqB3uYcP5!px16{i&f}I?x$T?@G9`C2;9HtdWKH#)L{aEZ)q*jrC|HsQbeWKH
zHB$ttZ=gO)h;lD02%-#O$e4L%qb96kw-6^v30<UsQ%975lLsz%3J_PC01M8wb#JbR
zyfhwJ5=0`?H`}P*$PT!7rVSY?7-$MTut)?_aP?@gl+@e)l`hiGkIBTIf&^+34X_wS
zn#!ico~&wsP_4ZvoX0O{TZ#?yfGbjeWZjl^ZZ%PGf(#I;D1zFLa}a)zWJo4?R{$JC
zB09xM1frHxCI~kZutkSRL1ZS|2ipOWdE<<*#4_c{Mfz{xh?L*!)&t%CL?z*9!4t?|
z*};a$g53CrdO-UnG*uQ^#AbRSM8dJ=*TYX~0#5vsqt{@mi^Qg=-c^oTxz6V;RwILf
znKLa`PSbKSngRwZOmH|Y!}uu|I4xz9sA+qO8O~Fci`lPq4Jlyu6n`q-Itm@w<My;&
zY!%vTD<^^R`KcgCWEeEdzyKwAn;_*S9;LdNj;<d$E4q7xn5#@Uh1&8Adw-pNv5AMI
z%BUz_7gFtjS1zziT|92hb7FDq2)!c?cEzFUv!qDWmsg~_BU46;N|PnzlP#DkiGR>;
zut<QwYT(Gs`(p%A@@X(^-s>=I;=Kv7B5;-4__w+Mn*Q0Wadzq>B?l8L0$NYUPZzID
zu7GKqboT>|()7I&{sBE;)B>^_+2)Oxk14-{qb2$hJ`ts0iE%)~p&9l(G61Vq{4NTJ
zOd!o)a!xv@dRLmYyjfq~9feO;(clY^JG3*l45mwg#+S|jF%5$Hgwp~dxcui=6m4j{
zPB-UCwn5w;0sbxc*~m&Qc&ESwk*ubEl56nYH(m3XAcL>OZ><>L%_H!>k8Ma}J@7t+
z5-g6g>Iw|aUQkxNZD0(QOsBtls%;EFy(@T@*!fm|phndX<f{~i+6$T~>zq&}P18Gn
zzL1MXYMx-MoWAn?wFP_F!63OLrzcPe^t6xbVE2}ZmO7=e97pyXHEgN1Y2E|^Nt^q5
zgalejI-(|8PCBBd*4({I-zxgCuqI%*En2(|G$kh|E~9t$KO&!c*0o<9Iy+vw*NnY?
zpw8?LK0d^e@+JPcCp3R4<Oo?`eUc=S5tM;n;(3*!HpSlgN$v5^KvH^n3K3L*UlQKW
z;Ia#s!y-dJ#B*NJIqSa9agTeyURK~_hK<sUyqs<wIaaaEIqtE{Pcc7d?`Bi$y7KTR
z!tZvWr?}Vq;En?;xl-ZFq4-tNDSw4lEs8>>I_aLP@Y_5bOd&@RuV(Fw(i|%u=TH_c
zDz_<8B_^Iu;dK1~4aSZD{vG)kSsDIAjl{&v{@>O}+3GU?GP1k=Wn|}9&_L#Zo@FIT
z?7PI2)Hhqb#Akre_90WFmc=V`)BUfKjZCSuZcGO{y9F9Be6a#|Kjzp^p0jf|+wJGh
z{y~x?F+Q(8oD^0P5uZw`Exk`-Y5|=;bZE7B{EsqCwLtQog!A3$NE)-Qf_E4<OQIk$
z(`<2J-7q#mO36hWzqE9$E$s5Q3BDNl^0Ou^YprDUS(V_onWDOS&d;+~%ee2MiVv^K
zys+DesBpEzsxd3?3HAJDyQ@l`{@iTgfK3Ewb5Vx`y=b>px{8FE{^TjiB*j8TE;Whm
zexPefmG2Veixx1%Lqz)GsmbN0k1u-$6&iEK`IvHVGE<R;>d9_h^A<~5!&?5hh6=q|
zAhU@KlU49MQ^sF8xVYBjJYr-#V=`|`_hKCw{OGWqcL01~4bMPe)9xHk)^`1D&-C&d
z6SWiWJ<I#z*o^sSm=(6#qDr&9fWts(7fjU)_(`hlQdD(n?6&TqpJSf()p(ngcv_mk
zlcMQ`_g^#;*NgJ03dcyCEawTe#&?e<8mGm6j}aoO`}>VHMuleQDa?PSZ;EwXmGn~+
z-YRH#1QQtPgbE6(bhQNq)bt{)-8>JA40(f;n}gCrT$|!=O09E1?5#*RS!!9hBU5U%
ziC%wR5j!4dG;W|)?`R7UE7N$gcX?8F$BFcVV#y;Of8GD)z}?p^5!zi{v?L>4fJOh9
z5g=D;1Nrq_Q!(3SvVc}_{fjb0?6Aejf>;frBCZ#=@BGC!lG)O?BC--TAEED<FOSq1
z8ZZ9L?7cgr?H(VG53E1&5D)3~4rDMt7IQjAu;Gbo5JDRCGZ^tm0+gjSyJZ7=F2?A^
zCkqTPU>;LEn$D)#+MiSu7*3%4-V#7kGDSA9l<l79;`Di6KG|b8A|xO&y|3&F=tP*f
z$BmRy0_RBt19e^wQYtjD0_@W!RO<DTMpOryYBjzAkK&2{-tp(H&=Yr3vbjL!Wktp=
z)8}L?*`IiB2&nBDoY345cX%pK=0?&pUy7n9L<PrWYY;dvg5`?F#y8>N8P<@ab?@iu
zdZ`38OdE&ip>91IhU{yLG%|>OAA41_8<;5kxDEWiL9+#)KLnN?4AYz}*x|gw@TRTk
z3E7h&=PNjF4s0E*_cY6X^)dJnGPe_w0wPnv(7#PV@JD|%yUwy{vMILdb~VQ5$N{%1
z#{$Sr9T7CTek!CCWf6a4OFwd3?!l4H8#wp1V(92EWu+~ms^ylgr&LIQ>u0aP=SQQv
z-Qp1!_=RBI^uK1#y{>b87uox+dD~N+CdR>tQs7cLAdkveK&)D+uM>l(#8sZ-NZa}M
z=hQZJ*j(o?5lr;z_vpm;*2i3$8;}Sx;AsAaM7lvJA`-h8)S>*vQwgAnea~s}xKm#0
zyOx3z0pN&`^J@wDq(lZ4P?sYw3xVQU0n1u<k~>6CAX*r@^)kwvTVGh7Nv?SM`zth$
zveC-3CQz?eg6s*j%~#^o_j>}nXfW0g%mf+!fdoq$o4$K_z=hmaOD5(88Q*2&(P6ag
zekfDEOFu9|m*Nutf;!Pzf`kbxKViMCmdubuSQQumC5Hy#NJTpyMTftVfujtLHiNrD
zYCyK;3D{li5obU}JiK2w)39-V)DyirnVr|bUR&~u*T7fptCHt?;?74^R^~}7jh&}W
zR-|0s?JiA}ltYaYX$_2CQb824Pha?}a*>(39JE&u6Pc=VV_HuE)Gx$y=&==RAY$K&
z*b7EciNX%jMiXL8eoz{09f~sKYl_69@WTdTt6>(tg;+(=6(;<b{TrSY7!d|)_OG<R
zd_ggdDnuXYQk`_^hrN<c5!65bGCHYjWPv6B@!TOPA89I<r=%gRs-)43TNcFUmursw
zr}v)S1*APuFj;T;9WO=AQCiur3YwixVv(9++5U3o@YGr50&(PEghzna{H1We#}H?*
zzQa|x4-a13qIF}=pa6xX8kv?FN6pvmF;Sf4_aZ}+a8|R~=%-D+PVU*O>go|n0fg6T
z!v)&gBWp_VNbQXi5V}?}M0_nJ;yQNpoLW#o)T+#(!2~j6@0j}Wee8Eo(1|<FjP4q_
z6KlVs_T#(B4E@&R)~^BtoKh>JR&EiMXrl!Jn|ysnKk%GfMJmU$rg}u7y%W)MeTXcZ
zrY(N4C$}xkX%Z?!F*WH>;s;ry2=j{ZUl972+Z>1o8vEPy6!Hi8NCd2ZB^sC&_|Z8-
z^KY31SD%Mi2E2l6$>GPDsMK&x^({G*l(L$|<NE$30yg*mi8Cp5e`JD2HITlyto#Z?
z1#<u6KnM2qSG@5ZCkas-$6);@NP+mP9^L`E+Sc9zYWuD9>50~Ly0op@QjQ{mK=3R>
z5o`G}pDA28Gtx*KgfsPW;oD1+LK`^z<tL3>pQk8y_yCHlmlG2XjNoO686opc7-anS
zBDIv8gy4J3k)NJNF{M_bS=2Q)9(7N20H3dMo~A&Wc$Vk}6EzM=mu)lH*d5WS5#cJ2
zjS$e8dFSX$P4K*D@LB8W4t5>?f`oIEs|)XpBsQU|j{)FSXWkCiZjmL=GPjivh@8c5
zz<+N-3~Lqy&Q{t2`#Zwn`vMg+w<sVGi5^?>U5lg+<~%3iocBSco1X6?x81Oi%U_Kg
zST%WMuPCql()&HkD|9892apyC(yB~AeF>|G4b5Gfy9ELRuJ<KEWW~v{tNnc(%M5Cs
z0h-3}+H~At_J$h2xHM?r5MGc%jlMV`)t<l~PC_!KnJBLa))%@>pOpsOn`uV!<i|AX
zsCCSzy>)msA(9@LSpuC4a)Z9~;M@V#pjx;wrMnw~&f2;cIPc_kcMku&s=6Eci%0Rc
zk%JS`T-ht9VAv0lbo*p`k3ux8AQ|_2MSYaQp0>p<5@f)mh67+gA1yCtVC-ce?0{H|
zV|}Y`4OR#PV?r&5cqcCi<4KOU>h10R!Uxl|BlsU^i2Xmw)(ouwwQN20uc2BylK;*F
zHH*)!JTp=-7f_EgZq8w2+oQ4J%-MhhJ|<K%M}l}-VPfg`!`4tBlgU38=auxAJ|GG#
zc%mgr=YH%cSkBj{?}kz@yC=OT!FE5RWnOlgo=lfvWN46cq7!1w@m|bTQ_gJO<Vl4_
z@WGK&sco8<fkx)}Z&%@XR+*B9k{V%?gn(I&XNcTJGu*{fH<wDRqE`padmG=rvc>nz
zru|-5fFj8py^MwrZH1Jj3oD#u|B<VXb3kF^dOK~${RZla%znP6?2p5@YyPD%nf}iF
z0$GK<1}sa_Sby>Lc)Mj>U0DN4V*c&M;%a5@wBeT2K@DvQuvnC}jL|s^Rn!x3(G&Fh
z1&i?pcqny7Pu<%taAET#6x<3*+Eep3+aq=8g7dl=zR<$HUD{SGr@d0$3C;K9;;6Mk
zKgH&0WzL;`2mZ#Ep-PQ_ig6m3<_HiZ!zkAR{lU?wB<;cU6ZCT2Bq1oXWe-~Ch<k+l
zh@{E(gH>N!L<vCrJ|dlElvI`X>)r4kqV&u<L~Y(h?ds0EyHZM(J<X{vW0xw&iSEdn
zGYCaq)ZCPZ*`HPpC6*cCr1y6NcL|6B&%s7<ML+xsna6Xg!W$J6mA5hKI!IvN6QM<R
zA+j4q8!As30cQ?pc1Sa^x`4d*v0#XZSXD4hyztei!e82fc2Xdu!G<HayV-Wj@%FqB
zkyp~5w2S?GnB4LZ+{wI<@o{Jx;xCqG+YKKzbpTe{5pdf;wM-Y3N@r;PT7o3d$!v3%
zJF4+Xx~dnyEfD)cBwI-eU;+4_cM4r^qhKIg4DaehMJ-i#-}DBfF6l(JFH_C<Cri!n
z$x3R6*{&u{kNxXJm1nTLUB>Y<dM?Kuf_fCV+KZd0$zz`S@BIBOY&u3ybL%cy%|n4~
zDQ!#pAaeE6?W_zOJM^MM5#$IKvCaza_Ighh@*ywpbj47Iv+GxeE5}TT@uafGwX||u
zHZQ&-AKWLtCna9L`L2n+E|`nzkb@Z~rNGVPg>#69-$}5hUs&u*IU^QI$!T-s5tpbw
zu<7I}L^=)iT^~Smc4#SERPom$DBo>xONL_iQ8rED+Yp-e?05FbnCo?;d(O&!oP5J{
zKy1)G8x_%n2I&pmY8-JD3P`|7D!rmoSEpCW6TGOkyKoF`y<TxM_>X^G2!PbuF&q30
zXp=;_LHql#hdBTh3zp#l1h7PZsUYSFSg^5+TG0{s^q|{D8{oIUI?ToMPDHvaP6Q7<
z;2D83v(e-99X9%M*pAZjDb4&~bYff)?0#@q91G^X23_o42ska=vMQ>FlVZwET#&GL
z3FV!%Xb-G_mQ?)13T%6Z!_75z+tPm7nu>kR#UI4ipoOxoK6MeTfu%oTf@NA2U*RP$
zcrr_cS?OG2;$1H_cic&iBh=up)3tLW{wO+wE#*rAJ?Uu0q8O&v#c?CytxE`G<v5~g
zj!Q#3(WZC;plF9;D$=L_OvE1iyzTNaAWNbDfY1i<_Ce?b!gSnBG@!o$Dd1_H8HX%H
zYdMWZL!87|l?*vmSIQVHKI|%C?@6T)Q>B8Xn32lY7mtux>{5pwRVX9Z1irw-3X>}<
z?{TT9`UG!1r67swG-uHgI6`PD`U?hOASp&}XVr%<7T|KrD1CE4<{$@Qwh7RKYhnNS
z1XKAR%HAnfl(1XVowjY;wr$(CZQJ&m_L{bB+qP}?+NUqNll`Z&Po+|+%c@Gg<gGED
z?-?>*t}aFz;pFTnl7I*8U<X7{mHFGJpoY9=a6mygx2E!o<C@{K4d=jx_H{y4ARu^j
zWmV<w_7L69Lvl_f@O`(LQ;*?$vzV{mp#Jn<W*|SEa1G!h68^M%v3^m>S2cSo#6zPB
z?awg}K083Sbi<zlkZK9;fBwO$GHxaES3)LUYWBaXB>SAi>y*+##8$s?oL2Kd7SIxq
z7i`Zx(igXw&94<SOUc4B-hG1Cwd`;htVzHlx!yPoeY|2;GJvcceXjW=EtGV^NVNT;
zarfZkJy=|a(=Ad8!$as`)}l*-o_l@;yhT8}P8f=#LjW61aOFM_+f-q;lZ<#JNmH4l
z9$n+XslG_@N8EY~EuoW-mqTQw;4f$Z27WjE{@v||&JH<2-s80BLRyDkj|eOSNI@Fs
zh(laN79rzu^Bfp7<m2(>Z@9@*L|QWmVpm@2Vm;<dH<m+Qh4u2#F=LIZvcOe1%D(`z
zIYb4Kya6XROS(JQ3<8M|)3-=j;zEbj?PG*)#L?bxf}~Cq;s3g*03b-dgS!MDg}1ij
z{P%-J>S))fGqg%U6vb>Cr{(n)W^aQl1FY3a*}~R<?=exp*861D=v;V>Xfsp9l5zLm
zpwB}jW$b8MEkL)8>}bOwov2I!tarb0^&Dei`6yqJBManxvbehs^us{Ws8!lpnEfLU
zwEsRm4Tx{d7Mp(IU{{HBq|(kPCdG%eOl`07q4x(=#Iu{K{c2qqDJy${MXT(^CrwJ}
zFiL{!?|DXXFKbhfMf`pAu3I;b+}CM+3MabEu1_zAg!d~v?=~FCYPsi|DacAh?LL=_
zz~1(xIz+8MjdYJ>+*2|DQZNl>(vkV`7&U}gw^Kat!Crl6Qn-OlI^oWMdY9Q@gM7@y
z)B51+DokNApHLL7jA8M3za^XO8ULW6I1B`OLCMXNDGWCnA~KW_V^GLutiBttWs7d3
zuFDX(ob%~lhr*!mU1Wkc3jhnum78~kLJ_}elb<ShQmGPy8E1H=L6Trg@d5w>+&{tf
zGHZfbz3QI6KL@*{y~scRJy$R>F#o423j^o>w8~Pgp{;z_hU9mu{ub#}DKJ0WVzL9|
zYzk-2**CMYbj9aklxRU--`FxpGn~i2ZN-Vsz@XhspSHD~RCQBpe=<*VF#iesGv(ps
z%-}~Zo6^XWtm)#6eH?^IS2$%tGaINRrhnMzx`?tof5tKH;ls&9WyZp99_S%4Xj$JP
zOVGVOwnuTW>p4M+4kU)C!R{=bywE&sv$Cc+-`+u_<tu#%zdF4wF|>Sd<w7HClih+&
zS(!w(8?hL>_YRD|aufaQ=!{oE!-eLcn7LSeb*n?ceXX@dyj;&8TpHbx)o!QTQK>;d
z8lB#}Th$bu2Jv%gkP}xNcPa`RZSH^xm=)MKa?8|Rq->}}mI4<08B9)`IjkDGV6AaF
zJ4e)mRYKI_KJ%0B?hg`^e*NvDM{i{^dt>>@n+!RenP%DhJ>Q3JQ5td%%EZ|eX;2~M
zg~*cDx`b#+!g@gne7r9N03R>1L=fcQ^!!7>rAB3_Me>Q2TSVDmx11X@YI?1)Jv9=<
zOqgV&695#@X?KOI-4A<jI^$8p!7k%avp|Ex7Nf(#w5B|7Xb-h@Fq3Lv|7Hd1)^6ly
zgpm8@rzpeUUb%6Hm^J1%d$zsHHH#|fG8Pw>S+zR9+2TA2pphyiR3xQ(RjIuh6JYeW
zqScZBxzE8W@ygRxmELx>&63*$c~H}gO$<{1eR8+eRe2%(H>%Hh6mQo6czEF`5%xyx
z2xNwP^c#W}RiCZJc0J#()$7{*3{~1oRt8NTBi5V-0nYMmukse!8$ZH6Xz7#z?E1pI
zIh!2jW@-0j3ApEGqo!XH@FwSo49s?#x6CF|K#*Y7F&vJywfuyvPVH~#qZJu5tcAuY
zK#Pm`VC4M0X8jPgzqJme9Ine>&B7(T1HbC6%MIUye|ieJ*$yytFCVuL=^9uI$SZo;
zLcaz0uxrxCtxf2!sH@NrgYrbl17f3s`h>@Jbk5>^Xt7T(-D#kA-c7qmVo_H-oe_Ii
z)3TLMH*um8Qd-)JWhMr#Bo|akgSQpNPz`$r7B;4_HNFQt_z?$)Xapo*AulKj%Z#mq
z^A2EyfJr1gw6h4Zo?Ncm;=RAXXLAUVO!rDU(-`cY^aNA#!>a9$0se6Clu3@811!p(
zxks8mP;4S2nCMRMEu=%lnZ@_vh2?RzIoDFJr|vBFNkgkUUwvO!*K(LHfEtir&|+7O
zdN;|g{w;d|`_KHm-w8+jD3b@=r4ssR1jn?Oq?RzIf)P-;Pb1BXBW^Dldbb+_c`G4!
z0kBsQ6^(kWgKYt0F|AAIawl%fFp`n-RbyJ}FSV}q8e5Cjom8bQB#58x`n&{u18TPQ
zI?tWOoomIcrt_%63@SPdf9whF?228t6s~S@%Hezo?|TA_$6kCT;H}-SUxf%07#xOI
z?>g=y2-`{%f{xj6dcc$-I&jwvmyND?1K06%QkmZ0&>B8t3L*g`$vk1}GYtmH#Sy2K
z0@3fztU*O=lBj9Kk?~s%ZytS<r1RqUzMJ&uxhAv(azH8`8NiNAeFdS4<3Sj>tv`fN
zB6{G0pKZlYl`E9q6b>*;9#c(_gR&n%acM+c-fcy;kW9CUe8K>r1?_pSS72*WBX?>-
z*&E>xkPBrc9Pq;g?(`wQHjOUO;DT~tgR*%e;CFLeaQiXW_+k%80D5W65VXMWbB<&z
z>tp{u9TQd|*#wW#+3ecc6{p0|Q-r^w3oVd1^qIk71yu-}Q)hV-<*i<p7JlOkstNUv
zwf?Yze5PR5zZ+EKLNA`%Wy}b@|MkGa4t`^U=TxVE2a({*UWLU^wkwudKO~ZMm{uNp
zJtM;u^DJug&w0snL;~F}bw|okR)k3&?6bBJ)QyRsm-s*tnH|L7A-zuKN%+xT)X;><
z<hTS1O=>SmX9{^h_WCnd7p_SnASj)@jQ~FlIP_Y_Ir6C63z@IAvG81u1aV;GxZB|d
z(K0tjHfw-(N9BH>S&r+Yv<!#%8gfL&0@IJO(hac4V(9q*CF5M77k+M#9=19=Bz)Jq
z^hW0gPr&tE;Q{xG8+J=4u}`ISjQN|+K$UD0teB%;pDVG)0+{pf2`d91^-dDP8o5*`
zmpt>wNNmvWtl3z_(DZErgKOo1X|95*QN`Sv_)vg)M#)!BR)sQTI_DspT<(ha;jCII
z6p6s6Tw4mx@q(N$aO;oy3c(@q{}!lGrq0>gbImhXkyP%{I{0uvR8}9$Wsv69G6yV9
z(<1h~qq*vBwR?@?C(X?S1(a=ok|AwHBdqxM`yoLuHwlRHfYvf8OkNqeHxEcx(uA>H
z3EE{t<m=Q5>@(Mrq<(b4%r)(4l~esj3iRmsYqz<<1<@06Z;F{}pcmnf8Z)5qslYId
za^_+KZ?U`dvzzp{@6ZITz?>@N2(9K@NXebnww56<5KP=_Sg*^Uw~lOP2lv8>yeV8g
z%BG1Yq-Dw#oj>ed;`2}iy5k9=re>dor|XC%9rx^Ni2QTZV83~Tmmo7&+;a!k-Yj|2
zdsxz8%0K_iqI5Q0e{ok<zg%|(F8oGx9PZY!QV3kT5^U8GJXEZG1yG-eDuX<v`yCU)
zrthe#SuA+_0}WlZcS8&5V^n*kxFoO;MpnMS*4R^{iC|4&ONb-%s@WB6ohBj><?76H
z@?o9DZW2^zRA+I86kf079(VjO{B{=9;=q=Or1TN27)BM<x>v(y_axM)qzMz|+<Y;I
z)Ibx>i2`UF+-_f(Eoz~tLW>WC6C5;x0MmW@1ig<|3O5HX4NTiCBR+rhTwgIopz|H3
zJ{`E1@T)yul>8<rnaSKg9sd|(H$U~EB@`jQ7i*3@rQK=pNW3Q%ksGbfvvPHa<*~la
z9i3tEY9$w07Zw$PHy}t#xlk?ll{oj@Vk!x<B%I&%G6Qm|IV0niIn1-*JMlYw{Q~E7
z_ZR<%#KZKTDk)6t|Kq;Wzr^!jl@!0(+BxO0ED;2OyNgV|x3prnKZhH3+<%h!`cP;X
zOC?ZA{v007x}!rc6beo9C3}qkwRN`nzqz6NH00ckkFtMdKAfFQe+B2sD5Z({v9z~m
z7YF@oEESR%SwbZZAGzO>=pSu#<;|G%b<f632%CWpaOXkM)2H8D&Q-)`HumOxM5?2P
z`nd!ti=}lBYg6&bAfIRYICB4auP>WksF2V3&b)kwhHszsg)DI>y!6qm47$Kp76gw>
zKko>$OjJmPuB=jJ3*AxotSI|!=gc0nU_!3*;x8#d)5=_6gC@H1oy<mE#wwcdDwxI!
z7Yw9ouu^T0ucBhsJrL@z8UMS$T3Nn@(LL4}#wWGhRC*bT#d}mrwOSKw_{t&9mqP@j
z)_MsGH>kk>i!iJWj`2PPt}HiF=5JG45U@Q}@H+x`8Qz2&i0?Tns&|5^<x)BM!Kkg8
zoyydvnqM9T6@5$`%L))ZYm5eF$e!^B&LCQTXo#S%&guDn`sh`&&v4Q4G}}yB-n{+^
zZjb%$ANbt*ESkDWZ`MoIxU~Rj2W=)AG`ZG1@}2pvIB~#{Z=1w|t^pX{OOa@&bck-i
zv?<yrX^KKX4?#*WqvmtVG~2LsB&x_cEm~HeUwtv62al4&+|Xt?^ECHQ@3SH~(>W4u
zRvo=1S^EiAJ-#p1e=}?Fx(X4c9c^))rR$O=KEXoGgRkIsX_Aiv{E|qQb!%`~wzZ?k
zFIhocg|n{!3bRqeswQ2&q9F(}xOM%f-F;*=cx7%|QI+Q3B9c_2It=mHS9IHeH&@xI
zQeBrH9gk04pOZSLI;#n%&WXl;(YFiqao8FaTivZoq=PzwMO;trdmwfWLXI^(^9{0f
zF3i?@HL#p0_a<*MGVxi^%&BSiba|fbuIp+Iu1Q7KNgyLJDBs!|@IN;hwZqilzwQXI
zM;ulWaS3&^|7tH%&s!|?0X&?0rNaz5Gb<T4D|k3aG^wn?r9O$vQ@Ai#*7#a;Jxj`}
zq}P#%O)=Hhei@PqM;<t_ih2^D-O$2Mm?wl>=}=?_ZTiwUeO{}q<SstK@EIlYA48`_
z^f<EJ^LU`yEsukrw<y439dQ#1lbI+sCNQEO)sP<|GZrv`Mt!4mNlqu$Neh#Kn0I~h
zi_r|!Ff}I#aw$eeWUS)E=E1oi9BuTJpA4uqfR`>DpQzbrD6XTSq>+Z23>m2ZuUi~x
zu0KsQltAExnfOvCW#fCf1g<mon?UV~WcPW;V#%A{Lg>sgec{HLN%Z3V_SXZ;GZ?9P
zI`6GBN3^KFO;eH(G&j)KP3Sgj%z!#WaC>U1h)jDJfoWPGhT6%l!Bg#G4pt4-*o$T}
z`v<K*_J6AocK}f|jE&ks6Bs>yY+qbD#T)}<giMGs3B;Il2EJKhc$$|;rn0nZ#RVrw
zp$FT7hc%b6uxmhg8d?eV3f#B*x-QHnF@qmEI;?vrjd|ZNHi~B#`gY^jBVJpH<3_m<
zX;S*xOoTTsPZgo8w}mJ@ih)15cR!jbLX+0@qZjnTDXvwCBIh!-ON4Fv3I$*SUz=;z
zf#Z$S9`Do{sD%v^MN5#oN`L?`uK<vS|Gm}}Ak#Spx=7x?Ux^VSqg3-W2LZ2Qg*%JU
z8fVoc7VMx_tMTQ+%JKP6Binn8N>+h>zbZ?)kQqjg>wsrYI2hwwA>pooAW`0t07PWL
zI(%84b75)y9w=EsaepNsfM9&btee3!nA|#7hCJXnjC^xCj>aWWJ<tkik#T4S06#NE
z8NY~7xB8`2*HMgRLSV+q+c}u18fq@M-O1Gq6@z@a8NJO$YpXKaijZW`T1*<2BcSfE
zfei3T<WOq|b<D~oSPwN*w0HMzg2;L4U{C4gS4oeMxT19no%CZmjY{!?ep>^cySTbg
zvR-xKaCAwqsz)RMFD}WiQvd`$@PH+Gzv9nvQ+xmqp4!j^q!%MJC-|9YDoYH>N?(6O
zG{&P=CkI2h4W`C^3NiZLc7RJ0>OLgPlo!CXvj9M;w!{Sb4v(_lQdY|I48cbfeN|>{
ziV%3i@z{;bAp;=;#`X?c9Rl!z1iB7|7@*4e!8lOpBm;jM6HYaurI55inEg-yNidqD
z^S|eWFZ!bJPSChSasClQzo1?kjyI!{INbq3B!+w3;gkHjee>Hb9hObg1WMt7O=Ujo
zpToMpaD$_Uy${y5uU@)+vS9pl9AdD62z1wB6Zf6&#bc8rSoGELx4Cd4zYhQ{>gD5X
z+4b8pz+g8Il;16l-8&c#C>wLD=HIZ?Tc545tyAAU+n}Geqqzabx5zdczk4fRKCFuz
z1=1Ad5JZRyv{FQ6P(Q`5JG`iPoiQ*}_7xmTp$(c&n-pdB@}k<ube)ew+}}m>2_6Qe
zog_unN^KhOh4k4q-N3=_;Kf`dgWAcL+?8Bm>~sMk3d!ZzDj8gxcKcT^p4WCI=~;MI
zGYRj=w@HOPvA)n0*f|p!vvEiSZ+FWnw4zBo5%rU_88XN6=+3vQDc{j@uR0C@sep7w
z{E?@0WveIDn;1HZr**kzjp_Bi0PhS#>!PAd1w>L?%!O2qRJDI@Di?9lK#LDIB4@eo
z`7cnr<$~_IkaN|mk-xi<b(>wUchCjC+U;}K%ivPJo0D-X#8zu=O2YzhANNM7o4?15
zZ5r3e??#-+hkxG#2yG7Kb2jEdh1g(e(BD&9Ys<#2B_zuQn#z(`*t)~vrKL46i%Jkb
zA_M&vR=a-oom%vMNsypnLf!>_y?tEY*41cY=f8LeVo3_fbseJg&qax@k+(9KAvfD#
zVL^73-O!BOUec+>^LqQZ6VKujA3!O%@_qM{<bw(ByoMmXc%!^#3Aqj;eI~)di@R6;
zB-h!N=Z~h1aYEV{V)otOiG*LYyX#v3Wg~p2m`D}-7E_Pe5sc@wL-fH{KO4*sf}m)g
zg@T}L1>FU!H_G?vqau;~!k^T89_Kua1PJeN<TA(*paf(R0A$dE$`avb<nDC6<5OHB
z?)>-E#K`=Ar>6f0g3Zam{(lf`RtBd3X&veRMzE9NM@h}YatsMU?xdH&ED#6f0$U;#
zbB_O3ue39}l=Z#8`kFP9i(XV{TBwHtoR4keCN=(Ju+7>sX^ImXL#i-sA!$&UP8F1f
zU13!*tHF|kR)pl_a<X@a;0;;Od5mD&6|_wTLdoV3$Q1e^28eAl(ir+MS}}{Jd?;>O
z{NSn<sKn|)q{e;JT%wqj=Pg|m*MUp{84<a_j4T5=-lsSf?nUo2Dvcrs0%2wwj{uP7
z0;FePFZW<GeQEdmLQNAzfnIskd6?2ccGQs2rj&veM((1xw`OyKQOtp-BpunJKq?YU
z=m=^qtSu3y_u4VIP=`>9s`P{A9qR*t8PTPO%TJ8@buH=8niZHh!?B<`>!`UFkPj7U
zJI0zrjp!s~3!1_pVLMa*2zLn_A9za@r1{}<EM2fr6=Z#sBe59fF|Q~?VEu`SGXRgB
za}>k`H{I3fDsJFp6cfZbqu^Q=*PKi8F~;T^Zbd{+3sZzeRzpt-YRjU5&@M^S6||~L
zxrdn4czLx#%E#jC0-^rVgJsF8tLFq~euiXi(j&bii_KS42%jT47PX^o3Q8v~w^`IP
zy&Gc~*sW%@02C}DBv+@NN=0f))R|Wbav9SnY#&H&Ol5kh+I<O$L`zxsK7i8b0*`~N
zIv(mtvG)y<Yda}aC!}<mmLucCS9`2*oTVKlmA8{v7nSb0Z7*)%;M8>4{eAGn?J&=t
zcI!RMwWr^yrT3Fyn0spZG=8;x1wz+&x-RtY=GzR%H!zyN^I~0=IH5OGB#6u+T~QN!
zJ$cy1b9VFR+WqSEc5_;&o#W-+%(G|T&c30q?S1~O<-2*!bML+Ec-?$#>wcR%M(Hmr
zv?VgZM3RaO?fp5)2K~Y7qpBDlQP51xsADa}G2AanS(C~hv1|xYQ>OgctRtm5-mij^
zwz&Zy?ZBo;DWWzVXFZXOX+XQ&(fvXp6^{}^_TahV;gNJn4gVN{!l#0jxmYx8)O^Y(
z`nL@Vh&}2iKE&GO@V%v*RLNs14S$B3S^V_`CK1iOhM_bhjc`GTDRFgV`(hFEr(-#M
zxs!y+_ZCw~)twd0aA02GmY8Q(L`<_Y{!&%SLBkCBs@u}04zH4djN?6tC2Q2Ay3Kyk
z9q&gQvl0(c1%fSL&&oDvUj1&9IPMJa(BR2ohjDfNsp&MWzq)>zMHdtyo|ps*l>!kf
z001-c@v!l8LDS&wmCMEddvg~twI8mKm!}L6*M^SY*UOvU_Qn!1Z|gC>C=>~`>x4p!
z0_(iZ6B@+@=1*G&Aeh)ZQVY<WEex%(UO>BJQ-(TV(8!#Us7kXV6M$7nmtC*+nVt>5
zE&Yy<-k<70hNESxUVVKVAYI*`pUEG1`<K7pSYGGsXxry*jqv2;1>B)UWr0^sTtnxd
z86DoP^}ODVVL-+`>173<e&43}J3DMa>VM%cK{3{@R<pn16gIB+nyr8AygeOTcAh!f
zd!J9AKOdJLuhZu?rH0`MrvqMkwR8<==6+B$?bWzxE-Zr@4>W~#(eP@*|ACV=HI^3e
zv&WUy;h*3gTwA>ze%$jp*3Sqb)id>l)lkoSOuQMl395;-`xNPr9=mDCLLK3wARa3F
z7$^@s9#SMY^_6n*eB&``8z_BXXT(;20LgFx8mPU2)AB$GW~XUd(Gufv5FS`>axjUA
zclWglE_ifn`kcCfh5b+rQ-%{8Hx`Xl0eBKDbcGe(=J`7FfP;kKwr{R{x;eFldt<DU
z&JErH1iD#^6B_{(0E+FJzb#ii^-kBjWdraRIK1k^5YsPXOPT6)Ef>F10hZn72#dF?
zvZBvn1TfJ`+QV}z2$IsUtgGe2WMvS$Nd(t!!}=&G1LXxwuR3L0$lR489~MG-+Xe=t
zQ;im1b3uOiE@73zR7%p$w+7C%wTS>Td+v`~Za{~D#?>TJQ1M!L;o{?Ji(^NJS}pv6
zPw|Sn;ZN}jXp8SCSfbFp*TN?hn_dmKiJM-HwvC(SXl1#gR+RJ7M#ls5(e*a{T&gzz
zc$qfC;N*A#c9lv}Xl(iy7?1!PE7Ym0-}V{I1GeC4VQ)}}br){6vh``>?$yKHse@}&
z0n@Bl-mU6}*Xo7_dKaictZT8T5a1KEYT^*kwm;?53+Zlv><R%vSY9;0TIfxN<Eqt~
zv>?&W?p6Pj%l6lkR4Z3jgUYSj)fEdg=yBwMOYcBY>N)k@$VO1KCrICP>`iR(TxS;S
zd4WFze2k|66%cul@$Um}v}TWy_o0%oD3)VNAn|wD6n-75NBVtri1$un8gvN2w!JAr
zs3Gz90KH7hCmlj9-oo#L!RTytn3NLPC>0Nk1@OYky`^^*pL=<i4>E0`DP~u|U6RVx
zaI#9VdKM~{rm(|zaal>nZGr1SKFGFDk5VJlw|Yi}lSX?fN0~N9ELr6$RjIdrAH~O(
zh5+<b_5e|N?&}U+()evvCMxF+b~4ddl!Qq`0Jc=R2b6Aj<a<WHut(L7S_~)i;EHPV
znBsEY&L3Pdb{s)+#}=ZNv!mmQdeal|ih1kbKSNXlhp3DudTCO9_uiiY6H+WJbs{Wz
z`V)XG18TJZO8wVa(6CXH`?>zR{0yL)4f_iJWZPErsA2#PF@dUC<NwVB4l=FOxoqa_
zS^vZ7xAX1v!dN;&nJG>}=c;wwSGPUf{=BF^<Sw?Of}*ihYBXQ99euj%nOJlL(`%PJ
z^K0E1G!Bs_iJOD~6z{(cWW9e*VGkaYPSr|QEf<vx_F~6?H`wg$#tA-R+_LhG40YEZ
zyK`7Go`O7?Q$*m5+-DZ3sWYh9XGY0%NtjRUIKf6q-d;13+2Q|0vAd^)>4|)IxM++H
zWmU2x<Zi`+-|@-XtH%aDB&!@}%7F&%5&rlhtZA3_=muc^7D!6Z*;+!i-}*CXMlq*5
zJYhqd<$rs6Zn;c8Qf07W<>kBPhj2|(b}iw-t@Mj!8)i&5oBLHoOpLd5p|3k&ojPi8
zR|1ZY6)R}J_+t;_mGXl3@507ORi@Z9Tpc=^2n0li`)c*NtPnrnKzNYC759RN;T4m%
zS9>$_nKJXt``HCeeqMko`+L(69w-Bhv$U@jb_vM#0H_96ml)<a7!JtNg+IQZ74DW{
z{)P}>p*5@wuyv&F@c4n?TN8D98vg^SUdblhR}&FX{4;MC4JG&?=}+c|B@@Mbh%XM`
z_VBUf1EzD%)6@BN#Pfi2nh*{|KE*23Z&q$UGh9FpXBDrq(F8^J+q^lPmu$r&Z<-rq
zCTtZ^ykR{nXu!U3<oNalpH{3u`rl(C6Wf1)xEVP)82+cR@XvoaB3saQPSq_^3rZ0~
z*ahrwI3$zVY;R1AZZ|sfMK_Fuk~@l1<VO5^PWJ*>DwLuwV*zji5FC1LyZX@Gp?f@j
zgYqo&^?NmXll>AKmZUn{dUT6}Jn7I@w9`rn#?k#r_)k3*w{fDrd&>1_)h8y7Xruq6
zFX@=N>NV*qi{E35UFU5%jE9D)iOio)+qtjrn0sofPJ@oqv1b=jZP@6qxI3b<`lo)<
zzKAr?-nRVRb|UpvYHEeGQLv9X{;lDsNzttW*%Byq*<$DaZql(NOscGkt}5|U+eT%#
z9l48s=Dr+JSDSK#{>ZP*{@gZ%C%3$)3bHrN(%G-uOwW!RaWJp;cwpN!Cu!4>%I<r(
z)m@**mvN!$G8}39!PlG4>1VQc?d^+fm*qg#<G(?)BW;_957I`x0j+xo)o6;Kb>r*x
zuYUtx88_(!X}*5tZVPyXq}XmZ!Tq?*A4rv<RTh##&15IF-soigVMTZQ4z=yzF%Bp*
z(qWpB{aW>OqE+K%qIx)Mfd!e@BCo}4mOx1CV2Or-be0WhUw8jx+f2ObS+keSaYrZV
zsLK9s5%6i2s(hPP&zgK82?Hg0OR`k}*Y909wq+azBE?yB%I|l5n**_tRRV6qjm_4!
z5--jGo(#^K;v7<+D4VJzPVLN`rdiZ_(FXNRtdS$CNf8>tCF((e#L)pbA=0d^PZzca
zsY3Dk!@8{nVV=4&GKL>eY05Esw8q=8@DWhebRKXeD}rWfqO(U~LCFDo0g~YW=#urq
z4XL=e<`!H^Z!!PeQq>D4&-k%I9?n&VL!LfDvM$RC-_&eVH~d$ho_}Dq0zBMUM9GIb
zy4Q?=0Z)P^7tWldD~HvjKW4$0C)izN6tc~762Ixxe119p#iw2`zFLI>yc&h)n=pzl
z#|TYynsl999Z{4X>@%eOm+hI(nwep|Wh()Kq4Ke6+ES&-HW<U0-ynwDHtRz^0;I2}
zOJEf@gw#;2X*X>oDEY<=Q5hrVYp<XYD@a_e=oWQ6{A5l{o;HE0{}1KNAbRp;>~@<I
z6mGr~*E??DtOSar1BHdeuga3Ep!6fft^3DsK?b0P)0wyH&bBo37CEosqtz7Ry7SPT
zNcoc>0O_m)NDbq|`#`}gdjBbWZ(sIY!yPmX)-)tvR#H?ahj_h^lv#H!gDxfD)U$jH
z_-Kf-80diECUT8CHU&2kP81$wcu}sy8hps09Epwzw$x953v`k{T@MQ>8AIdMV-O`d
zd7vOC_E>$C%OV*KrZoxEQY_{LM<_gkoD)<+t>jiRq9`%b!BR#H#~<{?KXM6(TS`_(
zoJ?F1Ul*DtOZlSvZ@~@^IzUESAu&pT*hQH}7p^9y$njxY+Tc!rq<NBb5_tOY3yK8k
z*d;}^jMcW5>#)ZNi&wzpapfR+yyK3Nu$9QcwfGVFU2q}_d}b6B5Ryl}fiU85OC-1+
zNFn!|lQq^v&wZ=my%@^&%3)8gaj=xmJ9)1%Uygz4We4e)i-IL~DE%SG@EP}f^g)iZ
zs|nUZYDP+73V{;bwf+#j>iOV~M6~xg3rH5kpgwu2drOE16xl>^NsI?%T<|Hq_FyXk
z%A}f$O5VxGznO=j$}meSmv_pqzKym7!JrYhViL|0rEqhBj;aEdEWl!wnR2s0T$H>5
z>CO>aW+mCo4qd@A%fc+`MFn7t%DBeIcPT0;2R|?y3AGM2OHg!?zaWXoabqOG{Jwg&
z1tg~VYfAUys`l3!6Q}?-a*GNII5!dDxRO~Nd6X9KvH-3^@tWM~Ku)#&WIvXT2*x#R
zd!4~1GqT+LJ9{C9mEt(x$uP=4<q84Te;9^(XpW{Hi%j@aU~pAn6x>TI<gT3udzMgM
z>SN(S8`!03fSGwV+`lM05M&(<HFwc$o1}1yy055tuVR=%arjY%9awiVBs0?G<S+Qo
zVN^*ecCRZN1bCd0bPOF)6Tus1S3@TlPp^9ENUoG8gub^L5V$Wh8x$lOCacB=jD+El
zXRBZ<Dm_F!f2FbX)7iIMY#KXap!r4{4hM_BB$geTiERbzFx8cx5Q3Wl#Lj%9?*g<_
zCH>Yy5-`kOU{#@?I0zVT7P$mLAk8|ngXIT%*9Fh-W9(bjZ}>>ObzaavN&i+lQzEJ#
zra)M2WFShOV#r@-#z+LDRw<vhr%@iEpXhT>+$o?NyLyxcTYO;`IW`ITNo`Z+%)q<e
z4S}TGkNd8>j(uaT2f=$LydUqU!k9NQ)0-?XCtoBQ-Lu@no4Rg>;NZ`^L9+2}sT`A$
zu;XTTv#F7XX}Y5n<I!J(>TXE4xuA4u3*n`u+IkRfq^bTyq3JMX{q_~^k;d|yW$#XO
zlzIRkwmJ^Vx5<BzSvf`Uw*8azXgedfhAr5%T4Q?^Z7e)!%MdwK0)#us%NHG<&P1I0
zCXTw;mndt%Xhu`9Vaz*7+?K6DukB?+!Xcz+IydC<_5}L!sC+(XuMGTvasl0~46}Wz
zvDxCU!DQJ)SnBQxqM5O6YHkJ+>E+Z4SK&GleK$dreMo`Om9Y3Lu<=^DjS-bzDYiSZ
zAs#1G6huSH=O%=DasSo;`AINR8dw`=*7-KDYJNUGNB05}wl!e<hcLkTAHo0=%Rd6?
z|2zH%lbkgF_l~ar?MpO@cq4#3Iw6rGTX$7ubF;FdW(Lm^q4_6_CZr&b`~7k&64Xqw
zTyJbdFZ$<80QmlJWyhJVF~7gsR{WCqym+v<S3AozBtt#Fdbpf&C^hDjcAba;l;!+H
z`op@~;>XCZXo=Nry!5l!s`(_IGqh!b*~9~*OGgVC+e|8{zX=ygG7+ALPf}&0iRy{V
zb^RrBR^Ie1t(2prJSEsUb-6JhCI($Pznmkk+6lxOFO>qFLY073Yy8Mh&rh>cx;}$h
z^3QO~u@%6-BdWMwnnBLfz~bpbs8pu`udFXq<wn$OSaH;d3@2r1LB@VQWW-}i5xRVL
zlQKuSgR4`U!gMgO<(T=Q8=QK8ndfRjg~Hd(o#h*-Nu_lV`t-fgtwS@>Vr1*yy~lW{
zQw)77Z=9)?DRo#k)AVdk9(nhPdHrQ`-7}rcGNEqW)Xp#u3O(?*#aVqv%%XzEO5Jd8
zn&A)w8@Kz9HKuDSZSaRpT-x2i=iI@*=u~T8zh+IXnx{VN>XQCoEe_Uw8p7PlwW|QM
z3-)Hw%P0=}g0FM&baqmRpXFb;c>d)5fTWpp^x@LUXzjiX85Sd$Y`?`;-B4>|`#-hc
zfVS+R_;et9;&5g@rs?mpp#lHmFP|p?XSD3j{;rWE@o9^GOF6|h3X4NDBY#L!3ZO_B
zq$E!}gmm%7Fgku8XxRZ-JF*TA5c<?c5VRdZ<X&1x6q=r%2PVL&_tYzZmmy5;he$DF
zve7QOKsu?{ejCVS&Xjx-2hb$AU|A5!4~WLGV7^o)g2KF@U!FDUvFp0qWxim~0407H
z<>^wBZ?B`^vn2+1sTqvBtixy^d(1|FAudBqrS#CHQ=HC0?<?Idhx##Wte*S3mn6c-
z4e!1zVDkVz;4qr*<yK^)sD5+oFC~ScC<zaJ@Tvv|xW98T#Uo!Hh#i?G%}_x6qwKai
zJ7-_d=(d$FyeSC1pCmR&lLx>V<Qe6$<{g3G^7kn6JBD8}B0t<)sBwkJ4ka#slzx{(
z+D+gsV@-@}SA=n*WUgbFn28Rl6!g2g;u>p>c$P4{IME~+7sxQ<v;XE(jjf)-Y0CUs
z_8d}#5hns+Ip3?Q?l%!$i2hOWcMo84@HVJcR}0IF>!OEFNam&M>d8=A@wxVgqxbS*
zZEJsG(~G&@lkysNe~-Iwct`}`MDsIP?`i2BXrKc5rh(@?a5``ax;6`7CrrPZ4A>@2
zRYKGtM%42Qv<`nXFsSZzU;-5)8Rmcq1Sh>92C$ezvjg0a3RaF`%J>tq0b)?2N+hF^
zkHgg8xG9xo3=-2SUWPi-D4_j}tjDf5@z9$c514`r*^CdwbSNhRV%7x2az5^OLKMdN
z2}p{yXTya{%B1ub?AVj%>PH(O-VlVA7R{3cO__ev?R9LPSlg~vM7-t*uDw_uoF(II
z@!M=lqbO#w8{<vvPjH-KLU0DCv{%9B5jI21x%Oaz10rKfGB?FKy>MI-rcUW3lS_N1
zjsW-oeF3-i`5u0KoB(LKHOM3#O95z6{tALHa%1P)dAS@~0CvIy#iAxg5>qLPq>$gA
z_2c<hV!R$Y8JNEpnMzs1QZrG@^XdGDnvlWxW(Y>Hx!-rn>dgHyYy``V(MA5UChtH@
z27}BRRKX&O^J00$e2CCvjEj&gn>BzU>-zKz<YR@*Vz&7$-oKm7or*M!+8z9Vpvz(W
z)LMFnT?4wLuxa24myGpI06RFclDiec3y?OO%d#pxC7DZ|8FS9=RfC4NcM3(X6CLEW
z%57G2A4)5M$2DnMF?oq`VyJ@lh{}#*<<<IvrJ{cDw}ZRTGS8A-uS=<`jFV41Fam=>
zxi;T<;A{CIBna-N9}k+St+7+^F`B&{M^6V_;nRjV06hVb3QH>bezOb1tJ+IJ)yMpS
z9hc(B-jiTLQSm0q&>lgkdI-A%5<6^b{`x6@K!`*uHZUEe?CT5(rDoIZYY^Q~x7GDl
zPs7B|^w<Lx8Q$g~*=q-nBjSh|9NdaKl$nCMG=%kcb&@`V*8$qy7mS0V$S#x%3sM;}
zv2GHe{+5V{7xO5I?T`xL?hz#3I4Bt4?^%?#V;0!ahXB5F<Vq9-hUMr2VpmY+28KW^
zP(bn!%f7sNh%pw#=tm7Ixe(6gWA3%_Ca6!d;~QQmQ0j+-e8wo|;StF^P^>yo$h4?=
z!&<&4B*AbHbNrNlm{I`o=3rr$!g6f4lBisgN#9@wxTWiFj(({_OouRfpZ?vX%eiV*
z#3U*x2Ke1E2>D>E<TrWpI=w>pcsDjbJ)?Wwe|}!@mWrlf&rt!{C{DtF>IkbTvhtG8
zTRqZQqO{ymUDopq+os0aGtY?lu=hAN=_kmKiYr;`Y<n$3#|P#WdT<B;?hjlr33<Ld
zQ_u@t_{Qp{Wc+CnL3*H4`MN=_3mb8Lx)t=7`HqiZcEG$0+6iwo@n}FG%$c8?^-)zU
z4C4Q`a?U5bEMN62kxbxahhwTrJtY&-(QWGcV3DHN;5%=MweFOpyRx|{LUl@K$?eP!
zH1Stej0@j(e2K>bVwPHlI;$R|jPr~=wI*zqU%0#E6si)~fbT8Hr||U{zFKqhmfRs>
zroP*;!CA7#m%SfL)rPe}J&BEb@7RIu#*={UzEU*!JoiPS+D0u73jUQ7dxsR4%@>Hx
zqoHf*s$MWhMYlSArrW=u+y8yM#66Afs>4Mo%v6+5B1wqIa0&QXwc~_>ydAdVjPlY~
zP+$!_6ei_TK`w`0?|<=xQ^~t}m0f-(*Uh+c5=en{dZw08v0G5C0#~&!=qoNT%@8gb
ztAi{3Kq8YhvYdrxFdncOM_#}n565?e<y$-d71rg1T6Y?KQs~|aoc)4b`~|<t4HIXS
zcr^aUz!}vv8}R1|0DmPpPLn?j0Kz52dUFWWI|atq(@VV6laA_cD*+5dmKh#UqoIr%
z2I_86R0=8f4##e&6#$DLFnHL)GP0%E<qPNywGVz)`&;w{c3B1zZ^jnUAs~~O-_*A<
zrV5~PbTPiE8!B8awXgA}2n+3xD9y?AgjFnEb%jMn{D>Ro%CZ?C5W*+Hs&u_-7Ek1c
zw(YZ`$EQ7T|G}kFCVbzaRR+bMP#Gtk4B^u#z3GmFOsnK5__gF2!tbGms$rxVtO$mW
zUE~>K_=QFtw0HUMnT?t0KV>#%#{V%bRidG(Ow5VocdNfoF3t%w*>Q1^4$Hv8!u*6F
za5XeE#aC`?xax+R%XMb@{+L~%@@^0nX6Q*!q9R4g$?uy<$)^?jcJ>AAFPOXKo8g-@
zPGM?EQZ&E)O@T_YZ-hdMD6Kq4Bi;*sTB<8!f>dSe$C62v3&IX#ilf6++cx5;T@xqq
zi%t9t`3Qv(54^e2aUVr(fA4I6Z<$n{Uv$f|shR&6rtdY#7|Cs}@BfI+@ywm&{mAbz
zMtaI9u^)c3k~Y#~wp{92EUzldnki(QnCbIS+c}vSC8iA68!mHxXVzFjEj+@YTP&!Z
zNTREox*mjrot%na;n_K66KQToPBiwjC*+OY=#vp*XfP3K+f}Ngbl79vxuN8px$HJ?
zrn=6swS1+Fa?2@Mnl)SxhTcJ|H)yz`swXRiSY^OWu*aZW;_9#<2>j7*+nA)r<<e><
ziSY`J3+rQDnUo?bh4VutR1vr=GE{f0E{tyR^*t{t1!_o?OH{EP2oUH)BE~v^fX#l2
zFV-8J8itSQxBSlofN$Ptnp$6}Hw|JQ^w(pgT}hb(9^Pa^87$i%tG~f-*f1u(w7_N4
z30y&2LOYy^FendWocaXy(KWQ@^QN=arUMttdy%TOgt2)QNX~WdpIQ}#sSRlKlgv<&
zYTzJ%TX=YH<~{G)d3~c{91j7K3htp&$JDlUO6pX34#R?%4Rb)8RM1s^!&M#QbbnqY
z3S*VqVXah5gCl|?V67Ao;Ac6M%5Z!pG=_&=KO45@28V@gJ9PYU{R^y{wJgw@!!foT
zP0;y?nEWsLADZ@z632mN8BrSIKRpNQ8lBsCIWCu4730kW<Nj-F&N)lmL4hw_t?gqE
zTTAghujBA}uY>HRch&UWR#)OwJS)O#8$Z^5HznyHApPD-K+BG+YN3|6p#rV-r7t>-
z@?v<+ud1+Skq|evc6`RtV9}K{iIjK^Xl1-fEdVP*2bAjgl8!n_ESwGwkh|UvA+mot
zg@XGZH&UoC`Rf^UjUR$l_uWC!H0M25-%5vUQFD3U3+S)%aD6Ca_Bzur<f#n03I{5X
z=DfY#L}OzuSC^;~5)KV4AE$<qbM9v&1H4^)4m;zR=3A(7TQ`o~n)^Rf9neNB;V<Z0
ziYD*c8K}7(zys)2iv2~R2$8j3zzFdRh5Cg`UMmzlsfJ>q2$RS=s-%Fsqn<Fkp)ecN
zYY{}#0V`4FuXd|KjMXsl5(NoBT2f>p-cq5TVH{4;R+?m0@dz&;_A(N?1dlFRVB?&j
z%$vV&pN5ubMF{P^HnL+X{7upLO-;|!gq|z(D|>_1_(-Hah&0*JEK5QTx%|dAV6xyI
z84HnR-I^kJyQqZsyPAhbK)))*_?EfCT>4m+f)LJ+3Tv{=HWWZ^rlC5gV5q_f$OsZj
z6Fo?YE+GzrY**!aaSC@?%!t;DcF_s*T^o!Q-y}oe_zD&JW4!bL=p?4g;eWQU)&Fgc
zH|29F4nV@i59kZs8EC=zA<FDR6x8ObdFc9xl8aB;3n~aPiT51N_+V!vUSWQ2coufH
z_ns_|-$SrmFn1|;;>>?PiGYxuHd1sg`Baq%>_;@sMolX{GFwiV;lw6E#BGL_0t@s8
zd!(BdE=|6!&aG|qIk$IA=|~JN%G&_{C!iQeyGED{p;<T(r$J`SCDBfk)HBL-$TJ<%
z8vt#3t<jMdYT*HPaLBAw@1hORAdtgP61#QG44FBk_%mA1C|1xtYJBQQ!pP6{deW+w
zw5YuQC$4h#$UxiPN_ron83idnkP!;lia#N>jjwc30*BUjTWCqap&OgO-Lk`odoa*6
zf*XRHN`_!M@ai;i<Bo9+ChU=6c$)KgHs&Zb-T6(nVPO_8xy>ZJ1zlBlfy(2e5mE_+
z*d6XTCTO_w^$Rj5Yrv^qoIZcAGpE4y7~bOLL0n-FwIEv_8V|>#ek24y83Hutc40&p
zNVBClJPNE5bAmEnVmY<crf1WO+gS30pZf_8g>`2}mB-}hL*e;~?*Imz0iMoC3Mas?
z(UCM4s#r~)Nv2g4|42Qwx^b9|`NjEl->aJz^bx8ptHCB?jU^?5=0)Sz*EBldE?a4P
zK=iHkJ$V2X5!qy4BA&^mT+s8%<j7uX=`^kUql5(c)YE3|H$zlfc4FcJ23oPfO$U-#
z;YJB)rT-g4rp#!Hq~(0pba|OiLP`sS#8-(rVz;j8F%UY46n3}eE}QL|jVZ}l<!FVM
zqsJL|Ah3%e06cc(<C+Jnhf+IOpl!66Q9jqGU?(~-WR`$DStvXqEHGZ61R0d^P}NP9
zW@%QbVWUbHw9xf}0)#nGKU4iH$(!cz_jbB<>N382U(=qW^v5#|IKA1rw)@enEaqcY
zPf_7tT~--9TBs7<K~2r3V`Z+}6-rsV;n9avq_U)0y7LQsO%QQYg-%Ww`kyTa%#lr3
zs=CksFch=9)P}!^$4L+kL!o1fx8266cg{}P1Z1r0Vw6ya8t<B1e|1O{UciNgGv%pD
zScg5JP=v91u=h8E31yvFLkcbx9zuM)i2U7;L&(KGA1HCa87aOMR<3$AprT}Rhgrwy
zK7xBGrHc|=CWUdBYn$A0KCM7d^!}@#7XgU0%I9iC)7L7@ta;iy&-m3^KV4{32oa{w
z(pp{g(u6;j7___on#nt4d88hP1n?P}-XBG3TWD}S-{gE{(;N=9)0dzYmeiN>(DA{n
zLFqm_smIsm?6s#(aU~rJv#gf49CAum_<rhFw|z()8B!E(0aohuCMfo?Qb*16#Jg-Z
ze3V4a>DRl~W;5wx<p_+v>psog?;<pP7Gt6s3TK|krVe;6;M}m~?ou%q0(J}!)@Gay
z`jR?~5XQ&#v))>mo?C^5DtDkG6kMT`Ru)&g-6c}^#C%ISn*CP|$@T<oMvRJv>krAN
z`K=Fw0I0btyi+O!=IXt^QJqqOKVnFVH<GZVib<|V*>_GbFrG?fyzoA&ktI?OX1!7u
zW!FtFw7BCN3hBeIC%T-{FI^P?v<y@!W))Y&0b+<T8f0K5nt|RMmO36r-nQ=>zVH^c
z@PAKNO#fzu{GZw8|4*ul_5V;+|Nq36@!0>wmNokQ@z>yvoXjNV8aluna@$}Q(1$rd
zw!p+~xuHim+FTM&doQc6nadYf(IsxaonSK&LOVAOZfQB`r-bPhp(q*3`C4;I2o)Bb
zM=L<)P^ysr(seWz&iNpQGiM2cLDB@2XAmkVE1=K?hruHGDfy~V*6x_F#gJY@bK_BR
z!exRS#%+QL%tb{%HZb-c4CXNQ&2$-z1c<pe9TBkd;nhlnhrJ8%;W1=i^oK1K`j&!7
zxl^ja3WLW<U$g~f2Wp0T4*lNhlWoI-RY}y)oRBpXTpm<4M+u<BZ7B)T{(r-&A{{|-
zmDME*NY*A(=j&VcvV;j8p`p1h%$5{<3fr-`mY<6iNctJ3u=IeSPzOu)k5LAhPr~lW
zNIOFn6rnbQPzOIf>CT=WW1cB4W~mY^*F&|-MHJSY%C81#L$eI&vC~?h>@baEeYNiX
z$}(b;2|^-Mde{!9fZ|uIr;kg`ZNS$G!X^`BSW81Pwb>rUTj0d_x?**W=!a@Ul7*lS
zQET!)!WKC_$O)5o=7z*!a$)EhV4%U`PSqFVR1I8`2+CK}!SH@l83UkYqS=*X*2Y;{
zRHWC>ZOwy>G{+PGty+T8lRIRe+>nbDuujGAiBlT3gbwNIe3f#0lLb0?7*L&1QF&z<
zqNpV(4H}2~+Wf6SH`ayq!owfmo&W}EWkkD?7C9iE^6n<R^A9qnr=vsLcK_|s4ZRun
z>RzYssAb<&|9kxkxu2=$=6}(1oqGV!^K@L;siS*4_?po`;qaK_G^Np{Ly6|$U5e#A
zp5T3dqwjro_2bj{)9&r$IL}|;?bO}7Ue$@dy-U~oyld~bacloyP?dUicH8>TnqpK)
z#Q9Fm3*>M4hJEjcRp2k40ZA8CRIlYU;@=>KNT^n%>iQ<8`H|vnIA$u>Oo{Yr70n;>
zpb8_!adc8~QI7~s77*qq@l-BfK7T1l#lO${WG7^bS)*ccVIqndM9n+&MWlcD{>a)&
zN_!~jsr_x4f^SV-vwdhvF*cqBLg58V04c2CrP5XeI4C$vIU6TNkH+gBD`r&8Hu+0L
z>e~8u`Ng$syT-1S{qma*D)U<i8HZ3(#7vx*2C<i0++aZh-eI{cUH%7)KD~8w+WPEP
zwzs?E=lx=I`If%c-oDHm5EDj}$-HoFin>EgAXMCh5?Z|W76gAR1P6|PTA~bqSuv&T
z{jciK@8ve#Pm)s<`}twa2W)O^RKkGi+0ReBf1!`zNY?|=h@$Dr?M|1cr&^lVI+QlH
z!aRlMODaZLYhO1+giVaiNEho;k7C1I_I{1ANlBUppp^Ld!M4iiIsgrFw_kkHG^(dz
z3Pl<h*V(%Un~OZVJ=-R_!;)&kV8W^T=eJcSoX^`M{Ozm1Pkrx3?Ow8<;XLnV)$9HN
zk;|-Cu{VOZ8ZOJLZ~0BGJ^L!XnuFfi=ZWT7k9PNNc={{w9;c8oAn?j3Digdx*=S#h
z_qW}nop<-fGekr0Q~L7X?7y|_x5D`3sQD7v+&_<hX-Bwl_{W|Zn+KI~13GErdOy+f
zFXlGpTK0b&x{LR3_q_@Vjtg*~&gOtz@Hd!r@N?DSt|!Aw<%=|ManvK>^1`n)n?(Tb
zB1<BzUb*yc^>hiDlZS>FOPF|rS7K6bStYeW2&zF16EBDxn*{(N<U~D{Mk$ksbO5hN
zfb8WPQz_lmvvtLbRTFHW<m-^jQy3xzV(J4KCCvo*_b536)<tZDB%bpT0KR!j`q*jc
z*YNu+7T`g90Ak28O$f?6+<?54lV#l}ldSS`A(b@|Pe85zIC+DhorH-_=ilbz$w9{}
zXY})OJj$RcW$}d*^eINYn1Ve*ylDm^;0K4s6fgRm9*!|aI}>F_8f#r71R|_~QdS3I
z1=;^SmQ>DS&1!rF-W4f~z)bbV>xt}>lQbEJorlyW7Pn*S7e<^a1gG}BJsmr#`)Xb}
zKX(eZ$*gQj)BZ!a6hD+v{}$B13C)<hI8*R}gIQ*fT0G7Zvv^ISr)OK^CTfWldg_Od
zAU4p(eF6q=>sgr?nS)j~1>0UMb3e`f!KYx<YELKiMS4Xt2XY_FNytG;g3?4g4}(bs
z7@M>JNJz-5d8}XGx-in%>fP`g-u)+OI(OA2$L7JKS+QYwTX7_kEVjp)M{Gs1AjQ#Z
zHfaF4!CZ2ma^1Q3F62s6$wTS|hLVRAik!4yR2pittauJj25M5^#f8ArmcWrMfgf8U
z54N}#)?^;;c5f6eyf^+3?7`f%tu}cKAGy!JfcPC*ghpYM=Lmkid{cL~YGsvrj|4Q}
zj{+rtX_t?x*uSAEcll60`epT$^G4foecn~O-0~7u(piDUa6_}kMQ1!yx6<oc2~x-u
zYVgJosTeU>mL5A%fa<_<Y`F^iU4_r1;S#3`VQL>p3jYLcYIh~b>uLCWzJLwS_jbL_
zElX3L<NS3~qg@}ssQj~k0zG{JopD*%%9z2`oW)U23|P1F3Q+~U<T|vwL*L)SF$b&(
zSpB5V$zLB6vNCN^%Non~#S^px?y~%a7{JGdd*PaWqw|;9jvb)x6fVWhc|r23zxEn)
z^*7(Jz|?fv{ug8K7^6$Lwr#d;+qP}nwr$(CZELmNtKF+@+qRAAcaq6`lXqvbldAgh
z{CiTBJ7+E&hYZytxxX`W+zt8l-@XB2GXD1q^!~$`2#L}qOp2kqLvqy;ro59w^N<cW
ztSe@U5MQuR4$^3n{T<bqBwlesxzRM8;jvt9mByJ}_;Qm58_M`5)dF>ST(vdx+i>MZ
z4|Z(JLC$XnDU`Znd_rEeZ-P%qe*`ZEe+FEK9@r~Gq0f)p9$dKG&x>5)31RMA@Nr@7
zFt>F>L}2^E+fCd)0IGica~X1mmlqUKqM(Jc6c!Pi1#W`4d1PlwX54<C)mFlztc~Vw
zF5)ik9Rw3`#LNR9V~!=Qx@}u_cKf{wy(NaW7^iaNs4Qm>=rsU`Ghx|@(Z3Q`O}@6O
zo?*G`#8B>|0tJQ-1-F?oCU<|xFhWbg%LnJ#$+ru4VB0XKTO&wh*VE1US#NKE!67zK
zBzb3m4VC@5GWwvAWH~IKt_~Kj`9LPDBHq~+!VO+#Osn+A!LoQrx3lx<CUED`2xJ~?
zZ#Wa4ZwU!bFOhVAN{>La*LEYOp}_ibN&g+^)5?Qyg8$eIty`?0SoNK{2e5wJu~N<R
z1T0Y}v1%4o3>pXtR%u-isutckJoQ}ugjJK9&Rlxrr|<%+%a5V;b(S1lP7yHm@N!C_
zc_prkjrjoy|3K&cd-VL@p^y3h6Z&LK?aW;)2$-0DahLyP8#Gr_+x>vz|1PPO^WAgW
zVuAos+RKrR+334{xRk$`n&G2luC6DN(kC%xPv!4WL5-!4%6Z)z6aWCK;_Is-vT4e$
z9zNr8E9z}`XYYuNk-#dWR*r2Ak{lThyo!)g$tWk#koSVNZH1rFDABY-`W{uYYVyUp
z)Uz!|^M$JTU5@;HaW0F5h-vv<L}pI_?`_HujghA4$nPpBvTRy@J!hNnbyXJ51d&!o
zTZ$4{bF;SIlt8MHoL}~<*F@9QUQET;Fg;RMX4!kxcgH_rm%7Q-s2Gb8W|lf@#=n>z
zxIL3`KwE@YXk=;Eb9-Ys4*W3N$yAj-?`FBUY^eByy~o`<NElT{dmpyUGwU>z#1ILx
z+DH3lXrk?iQC)&hFrOIjfHzEZ9nRreM5j0f3D2=IqXXq`RL`D$8!1|Be6(@ZHD+(O
zh!wlqx<Lt_bru7TuJG$kaYbBqV?Ch>DHd`595z7{Wwbbx(9W?;EsNY|iX*`pqi2U}
z8>>-oJxx?qt=C5+?{7nxV0p#y>VH`dD70;`%*p~Q1)w|EehlsbXpCy)Iq$*iQFQ;A
z@Hx??_mRJvm{cpX?Y_P7^As{2;-zZ1u*zMdv5%$262Uv)$6(&53H`1T<QT$ZK`KaC
zx#%P@T*0U^$;P^i23{r;{^I9TbheB>hX-kDm;!~>Q%FqL1%`fw_h48ksil=#$8fz~
zPU-hmJgDNS@cIA}bNsn<_?W1f8m<My(5b>R=v}oFg(BQ6#w<&Ol5%JKEV7WW$r=Gl
zWATscPZP`?b6!;^lm@$$ekQxLj`t-5G2oBO=TyIkc@Is9_y(EV(ZMmu8{F~9TuXrN
zU!;yWmP9Ix<O_JJ!xU7i*rlG=mv9|GL*{K2Xf7zyTxl&mU(RB^6|>E+xatEj?P62u
zaA%P)(P)#kZn~<t0)bA&s9~R->r)hn-gy{Mkuwr=sYy<_nPjjdS8(DFATPfp(RWzX
z?5fDsHOL0s4l%g)F9Ns>ab3hO@MIn3BxY1p9T%!RLR1yina&2IsS(K<S7~BTQvC_k
zZ<0N}A=glM+VjCoi)*fTGVPqVX{>Uzm6Qp=ZDX?*xYpkJ<PivmadUOlcnRK7b__S>
zHtzr8jDH#N_x+KTu=Whc^7b%XNf*wKEV^_b4jtP7#(QYj<x^b)<3X$9QH5iM=v-9R
zS}#VR${e)D@@4`U6JBv!h9^&lY3oy=W<GZ<jt~rB^ys^gmEG35_b^CMe4ph($;uZ$
zs@0G85e!v|@|76R<Jv_Dsy0UyJpstV15gnSPypvD*kL$+M_?8oDtgMf&|sof+O0^T
z%=^w6;TbYWv5G1;kcSJVcwI!*Hh1F};cPdYNuPz@R`v!T|5D_o@YMzJ3;cRVTy{7O
zirPe@b^7t=5(Wy9TNDl#Ta;y{Zdw|rskF{kEyHoG=_;^iaft?iwzMCwn^K0;s}Osv
zd5)k93(j`CI-F>*paI28ws)79+rUBEahISG@_$6%LPYk;3*3=NBJo|q7IjEV|Erop
z3#wR;iB8(@)ElzsmJKR|6Y+L>i{n81&*8Jn$ar*t9RVpbjD-h;lwS1!=g?vAvq+zC
zc}zB19q;8Hm^fu0v6v9TFA9zIZZV!k7C9~tJDyS)^RAfM2!9LK^B!F9m9-8Ieo_vX
zW2w*#ICN8{1&*SX{Z+URNL}j>-|SjHxI1UU4&T03OzSOP45hWO2Fp>w?+z|vchI4-
z+Q7eG&s-}F<2&{kaWfn-D(=}c)yD4I%`d+Kb4C^@reKJW&QIlEF+BSV3mrTwUzDmN
zR<+KIGk#GC*IoiXLnctC-}*|cnerqb5&OReW<!)-h(d+t0z^~~X!W)Bu4|285IXW0
z@A5-n@|b8v4f_qFV6j0k2PEI7R_T~lMKu)_Atf*Ucgblzjk7A>JN|M64zOr@KYU=<
zTv={j3-k?JO%5MUxey#M2Q*L*euDOGf+T`u7v6ka6vjOZu}BG_<5wvw%71-XpSCt+
z?~6*LfanOi(7tpnDrc4<BsOsR226m;LA033eGGN~jC3qlllWkf9EhQBB6%dj(m_w(
z=Tm6|c!&E+3syi~B!@{wZH1@8*Of>ww3zhtw5`X#2?4#L&igVeacLa1j=t9LXbM`u
zp)I-*(Y_GtD7&fvfI8$oz3(%o3ut_$ye2!aim1Qb(ua3IfI3d*Q}$=55dD`*9a(?e
zE$%zdp8x^i@65sz@R-ng!NA9ace{nx$)SXWoXtd4Aml0n?uSzq<Kvpe!6WEmv(>mi
z`e!F5xq^k&mnZl#tDK;96h;yhIPVcYe|1k;T{O7bq3K9=23&Kfa?}h`wNZ8tXdF6A
z*|O@WU2PN$Vncw)sG+=QlEi}x_AAAg2$2dG>Z^jVhXqUWdqh&8B^P5&A-mr&oF(@(
zoD78_%Z$>Q2nZh)>Xm{A+NMr2u=H~TpqxmMl*h63U*7UAOlSbE^?UXH)mkS<XHY>4
z<vE~O5*SD>y@YV&BtExH{>E1ZtUJGZU8plp6Gi@dB71IaC`YHV3-Z7gd(m=%nOQM}
z1BCSW<#tUUZAR#AH8npFG>l#D9F|_;2YRlp-q2=m?;-YycY<8>mr1XEG=qD(!eDK<
zUNuM<u4l$k*F7O!K_}d}lm8}tzhT2-{t^;<B@aWDjXC7kHV#1Zbs-k@-geGJ7hZt#
zW*EBK_9ZUE9;ryjTsYywOgWu+hqp1eUkxh?NHYf>RGXTW%LP*~EEj=0E`be3wYI{x
z?0v@{Zv4D{;u?eEX*4yOWI`j+P*Fi^&3YwWB8KboK^T4;-T*$&8GU||Pmk8z;jh|A
zH{E@>o#Rgp6IQF8A>6~=tkqi_E;tTI9TOzgoyETSXo0TTW#q|Ln-KvHLHSwSEyQo#
zr!ddc_%5F`Jugg4oN{FD@H6xqLPy01CsWTV0IkLlYCis;?}gWGt+?NO!!wsLDE^0N
z#QuMZUjCnG#K7_2Q!f8!T$}@`=a>1-BC0Nmk_U2{eZb?U#Hy;?;9hQJ_S_dyAHs^S
zmE<ILm%n4jQV}jpeRpk253;%i&_BEqTi0(^jhX%1yUw%R+3eB!i|&?I?n&0TcC|%w
zQfcawwnj7MoRHGQpVW(rK0wCp)BbHVoxFnXZ0O>Ys`SAJ8$|OKxow|j(Mi|oZL<Mw
zm_+Y5N>8czJ;s6@BW>ZCbL4g<vC>h6@hSX@QyFHr0ss09dScaOc!j<4Qetyc@idit
zp%ZKtOiz_%?eKLwWQWmvkUj5i$EoxA@O&U+*2D?U9+C6C_61oje57N^Qre1dVEVP2
z&e1#1RjGR>xG3g3hq6@r;v3~mw{3nr+O%m>setu~$9HSpt6jTM)ji9j`9{iSs5IE;
zzs)MRZ;`ivn`CKr@0hiMtj|<=XvBhGWdt{^OuJ+el--YM_s{ybKH>Z^>TEdR51_Rg
zGs6`E<HqOf!TJGwDbolyjmHM@+hUs79qXuPV?AEXjTT*dZ@yB4o>rQU)vVVUw9kl<
z1`TK;^RvV%Z+dIzXA+u693B8NSW3d~Q#%F0FnWlGrUvwN9#VAG@2C)kF!ILTfcVEF
zglOJrM;s&6WZU-TbK64vkyS>cdz6hDiGaspx4;=>i?hvEa-(w-Wf!@ttM72DT;CI=
zrLPKbQ=1_VglL`_l$=nhw$>iX&mMe{6(Ay#*v$2|YS;Az9i+cb<9V?BFW9~dnigr^
zbWHnYx5`bq%Pb=xYL_cifg`+)CUrRmOzH<?n`qO74A3s#ypW996^3;z2wbx<Aa?W)
z(l<ceV&N8~AQtWRkfsVEk4rk0*OiGd$vgn$kB1$tOXCl0q7bD}i2@Uen1$cV;7X@O
z7Dcz@SPTM%2BVqqtgd3ykjut$Hf^6-#D?~jgnC<UF(iYgX$H%{h~&pHhvi2Rp=HCG
zi!EXz28laB*leK8*@aPtm|;Mt5|<_)I#vZw$gm3-3R_F~qzka6FQ-kH@A-tr{q@cU
zWA4BPJt4PJiEdFuvHmYB9Jc52Yu;W!(}f!;J|jQCad>ybe1Qx^IL|C8|GR^MKjg$_
zs3|29^{rU-5~t`0v4~zinYal?Yp^-2j(|qVj)1V~##F*|AZyxC2~#>lWtf1hfpdVQ
z3Nd*#F5?r2F|v$Zw7U}L2^ju1V7zWMQiwx#1M6M_^SPef5CFq1FC2~{zQCC?vd=mK
zX#7YPet{Sdl%&-U)}@ay<d2j^CxKh8cx})Zy`P419aSgl+Ia|?;=u#+)Q0GX07}8X
z8BCOLeL=~&lts_miC4n$7hQcBK)ouS)G&VF*MwNH<O5r7kie9EON4?`Dytq?Ae4Ma
zAT#B(YG=U$LaAqHv}exC3**aZ#19#AAp$&t!ih_q@BVw7Z{spFF4c3%GCw3tGIP!E
z;7qTagY0?*p0H3OLYe|jIA{-8LqIb|npX@|0<V{qGAnKX)?1Dw7>`lzbK`xx>-DM_
z%oI=$L+$IVBCvgQJ+aQU1&SaVDzczs5}w0RBq4%GVBSK~TaW`v3O--t9HNp3Q-%wN
zuV%5kl#`$Up}JTc97Os1!ctEub_C7sjm~{Ozanel#?uqk2CWVznta)&t1)9?DFEB=
z%}PS%UozzFGmC+M3o5HPAhKV&5g3cP5!h+a?lI5LUij0O!Q|x(G)IqZEuJ&k^uOqN
za+B<M9c`v$Cf_(~eqK2anzU+}zZniY@Ua&O9T1s5FhgP$hhUo$Hbu`z4ppS<z*DX_
zHy?GQaxzSdc*VfuB>3eJq=XuZ7L3A$tb!h>9Cr%*f~%oWmE4O`5?4uh@RVG5yMNpU
zvvwUKfhdr40OWeFp4l`IlzI%geD;R20sf4`Lm=BmiVf2AWpwFkidY`qkU_I%n|Z<K
zq_p=>p?d8Na(jKaesly8Km%fq4bDv6(>NwTfCLKwu!r?^hD?v;QPVvUv8PefIaL?5
zzfJ22!=k0VlSn^1)W?}0Kp_)?jN3|Gxmr9lcqthRfy~)o7!efrqo!C6u0<hn)V8Tg
zetnP~C*P{grmtUdpiQ`3ig<FwYyd)+PLcYaCUe`cX@ybo!sU)8Zj^=moJJufg%X?J
zJm93E_Kl@&)ILnuhH7?+?fCgqKbvdJeI4NsprPb{fWG4GQcX_Gl%ad*{_uPIeioD4
zsk3oAb^#%^xO?+zvYBvAt@QxGzKBqbl*EnTk^pq_SW0*?Psg&(sF1N$j!nK@Bwq>y
zM(FsYe^=i<gM7oCZW1ppom|UZo^3^<h5OJ21e_sn`en~x8YcmVOCbVN1R3}<&Kdv*
zu7R!3B+FY~e&RJc|2-U>sMryklD~7R8h&iTUj8MuqktQQl&q~l_f<xz9)#PTjWX4n
zU&7$lC*;`xc?q<-73%q}Ca&80$nR1EivlS^Vt(MEeR)x}Mq91bZdhGk$nJ56v*<$L
z+#`sE0Eex1A$T7+%yFy>vGN*}l~-k64g>B%F*AKNUg1iv*!JFW9AAu93>0*Rj%Mt0
z04$;EVp1jxaHxzvmyDmPC~6R>rfPRs)H^9oT@@>kz@W>{!qrP&SiHL5GJb<RBYx85
zkZ{n=7?K<wODg>nwaUO{^l7JI8d7NJ4(uMJib}u)&-qj?(BTR*LfuE;l^)pTyZn3A
zTJ3ippi<fR=4tj14s5uG0)>&^`X63P<But6ZD>oh|C4B>BbenN5Vt|HA=^ZNS_4cm
z4QkSel4$N~PnYi#KG(wO<o`|`EDZliSj))tU#E_i{~<!PBK;2$Dmgr>fj}n$`oZjE
z`9N}BZl5!k*%sdds+A*6BDEyR@#|OM0&1yQXw#AVKvaW9Ah4_L^FjM|Xf{BOuXhK0
z^>$SK=6yznIT6E>JaHjOmT_QYlw+s~miO<l?XbMDQ}?ZF;Y<cH^{?sTH+yTZ^OUF=
zZ8K3P-MtZ&u9LTRYOiym8v7v~wN)GHv))nlU#ia_AKNwChuWIzG})i_zZt#kZYO_A
z6en+CwmJXK9xbj9$+t*E{bJ~SS5ic!<9XL(5+|)z_+7b}8qB6M{Q^eCjuC<^OFszP
zHAA^$!wGYH(lcRhV9LkIjpldfitdgEtH<mO7m;2zT(h59<FY4F+9tW!Ga)s^%~+m%
zdMbX|*6jbowvL<Ol<%nDWZ=<rD5YD-8YvwH4DFaYu=KA|x851JDC3gu0TQU(GsI4E
zP8FY>b=Q+Ozs+)8ag*&?lL6gz6^^$x0A}j|Ua9K2Tga54st=w^H9%#lvG%#`XB+&P
zD6PxpZhWv31S@DMNkuDGs9t0s1)J@0LqN4vM~iUl3F54g>Om{53mS<hFk{XT;0=A3
z>4?E3JuOiY*})a!-xAfIPsAP82K`IB4=cW~ANUu{IBwVna2ak~spO$G7y9x*%v3XL
z?GiIU8C&lRV3a6`24A4(To7!>GnsyuYN5}4MOL?)>?0<t2+sWh+pdq@wmot2q5Cq;
zWNSzuP(Pby)O`zp2pj-43(z7QP}L1UB@XypBaP29Hn3)XFAfh(2_ODYMl&NNdgSEO
zArXIP8E+(_5LsMLX=!jpMS?;M>^4O(EjF%Do>U*BWBR=(nZr#R)sw$}gX0v(m})(-
z$W?ysc9J{509FFTE{srm=dH{xF#Z8R&cQF+D)&$}l4mQ4+JS?omx?-{J#hLN(;T<1
zO+R)7SRoUK<E3bu4K*}S>fG9@t5h7=jVl!kqd0O-N%2JvVywjfxyJS)0Z|HS9bZ_0
zNU747EbbMdG7Uc+jwK$F5S2?YZil)&p8x`92^j>ZO4uudGZJJENHzer0ri`49DUxx
z?4KSD-#E&E0K_>AbLg;)A+z~aba4IfZCLa-`tYv`2wLoFWc4{_egv_d4v~tb)=h%&
z7~vcO5%>?d-I?=~MVvh8rjd67dCJ@jVz05%Sos|)nQtDsp4e-BTOc|BYsdl^&fSO@
z%^j82P|T+ym;@LDZ<uR{T#YAT5=s585OJJ=uhAlyU4rJ2B1{r&=WRQ0<`o%z(VIhR
zBt;*bgHX0Qi+VR?!pCb{=!eeh!brTmx&SH>XRL6inYPOYSpd}5_l)f%bJxtISO;kj
zgan-qBC{$ar;V%|JDQptW9>qCMNvz5!2nBp6Q4XEC|V(IZyBI@gL&8axab<%5g3=V
z3ft-i^D4xi1*nl0?;rkH+;)ZY1K|4<IKY%cUl_7nCcEb#$+1U@N}%1(jKu^EkTxA_
z4{#WCvXn7{+;q_c|9d0sl1LTBtWku7SAL`@?Aq1syMV^lb3v{Y>xdExNhLg1QVdhq
zSTB|Wu3O>Lj#_M{^|;1Crm{8_(=niG<R$*)RKnE0RRztV0t{;E630n1U@}K~eRkN8
z7<-HG{I8dY=tY?cUY&1t*MzIAjgx-NRP3A$PqQr>t_7aGMGEt=fGBZOlTP$yD0I$B
z2?N~y&&j~kh&beT|Lxb>=-LGQf-e@*%0yE|tM=w{w96;x(J|MBnZI%4bL?H)0AzHt
zZv~lMY2RQVa~k2607;69djy^wcg0l*aH^n$fT^HyYp~Nzu$xB#?6tMJ_tM_#G#9F|
z^ZUnkAU-+~7v;$??!j8DYj;K{@<0kB+<y)iSjD_J*iu3V6rrL36zX#_V<f?v_>f^8
zx(JnCs^+2fTlg%bO)269J|-4RA)}{}t?1_3Z0(9)Y;oSnnmgq=DTSiFV-bUiD-Hp4
z9a>7U(KjnV8@2!lR^tmcHxuEnoibQXMO<vCBg$HXF^YIV>7vMSV5C_K>885wO6JSq
zA%2(UDbmNt4hi+`)$(u}fPkt6=5>VjA!UM$ADB>-48F0fk8aB^D?m$O*V;=#Z?EP&
zpYM!)xNPR;(F7l2Cd@1YcfjWXO>Lf280+CgZfeSLv3jsC8S6!ZqGLixck>}Xeqe0-
zpSlsQ^+Vj??v=A2JAkMUWNwy5(VrTvE_%|65Xe5v(Q?UE4*rU}P2Z7T8;y)`+)ot;
zMTPiZ5)s0P>6kyS?fiMrpmohNYNz_yeCIG<`<GM|oi8~nsR%ud6IsbI>F!M^(~P?K
zWXtzVD$|gXeNuqSS08zhBGEaaW$9KI^Hn}8B-Yh=ti*LP=?o+sfU;Nru(i4^h#r7D
z8yYqX3OomDfSBF~rkYYR>xwvnR6G9I9&~{e+}{RB^NMW&$rEbd$zx&YFl@x(GW)bM
z#AR`&jh|0q(GOsb34T+6^Kq^iW(BClbu3`=ifSnx4~hs4-eq}SovI(N6rK=eSq!hP
zmhjR8g1Gpupu|p+T5*!BzhcT<791k-W)&Y_mB`6*uqHQ#_FQr0TefO}AV8ag3Fc%C
z{~6^H9mh)D{Fn%$v<vz5!>V(>6ct5u>mLWqKg4EMv6oHpzP)%c#pXxSPh3g;nb!>v
zduE9g5m1p2%rMnf8MfGDWyxcS9(#^FJCiN?rvAG9hmm-TrN{OlJqjOyz5?pLKBqs6
zT_;=7p>P;s5R$(Fo#YKSfVMAUM_2JQMi4TbYW~sUoc|tqgO0yMYNuT5OZr@WKE@wE
z^d%XrId>SzKYb_+@rF+S3pP^}@js;#W~TpRM(F>ki7<2i*M#m|4SnSU4kZ74`9$(@
z6~uo@HWOu5_yL9)p`k@Wt+lOgH~o>K``9DXns5n66Z&mhaB{;ScGUz)TDFx-Ul;sI
z{2B0{{Y&USxz9fLrjN2i!6BrH5n#z9f&-eD4}vJ-G?D>Hu-}ih)k@jP2Zb=D?o;)s
z+nCNF#8%&~IN*9(D4lMP++tU$)<5^c`mZ{2g@bE%z2qy!_KD}0lc?rQy9DW5E{(Id
zg;9SStKvJ_WTFj$OA@?Qy9+a$C+m^DD%WV#WtR?_vqqg37T;X94pljQYVL?-`O|Pk
zIX~WEK?OO%gz1F4o)UsNhzJ4A-0I4krx%=BzqkM;4X)5HNA#W~SQY|kDz_*mep<av
zSsq&7ayp0mECuMY%49Ex^!eh=I_R*SrJR$W+ug9>!ELo>r{7EG>cL(%ox*w?sU&w}
zcqkskHh|x|$eGWaRCg_Xj%2U)qaP{5eQOlmb_+m|{btueP*+aZ8X~$uGgJd`TJ#tj
zDPWLqUYPs`EOoR0_D_ecDk!dQACnqXTFvhra?(e-C9-$0*#$O$U0G=n7r$M&?x`W}
z54rkWYHe^rUICIuzG<jS=YV8<0P|HKUaVs3`(l1_rYLzq>-1Wxl^4&g2h`Z8mDqIC
zWKJ&=D+Q+jI{=azN6TV1Xov#CdEcs`&)+C&4238VOko>Gdh;H{yT&W3;X)trri-SU
zjacwA>{l#NRUpejyjNi}XT^LekmxX#P||z5grC2duBwp6d^oMFYM-c1dlr(Os0O;~
zwcPv_=yi@!uXUZq=8`6kevps+KFe9)EVEIhc)?M=<}O>dpK!-j67#OrD0Iq;6LxUD
zh<nXdIgBb8M90#y4_Wpk_A(Mn(VDTo<#FQ17!0a7`ZJ@+q0t*W2AK!)HT8~#P*aC_
zV$vAP%`kUj;<PdXMAtWRX%@Yh2ZZy7{<AVel1^K`i#>a-NUMnXcZt)0Omnw7?W5$k
zoo=(rG~}yrloRSS(gv!v8xoSH_zD#m)_o%Z=<iH23&TNAfso^D^6{9h+EL2LU3Knh
z9`}(;dHrF<jh?LT0Jq*cNC+dkFZf>1BaGfkoDb-UP8}KJYXI*H!5hA1if_6?fVZld
zehSj_NEYFu@1dVbyos+pL!<5rC0MLkX7GW$?`h$QHyV%I6Hw}cV;+NHmr0B>=b?jH
z?7GMIGk7HlM?T~|rW8g9eLxEkqbC=aS|p={8e+2Zv2{A)Dmb3xpz>J+JzsV-f`aQE
zp8!-445w0OKGnHRhLh3UaoT&)Oh^tij?{yuR~G#@=cS(-31(lNn&^Xph#Eu*8&STH
z8B5o|-N$WY*km3x4X9v);r_eW92Ph_R;^O?4IUf!_#M4ET7w9iCNlhkz>2IP)fpZ7
zf<`!*WWGxvnIw=|M+g<3g}t-c(b!q&K_7E&28TZjVfom0GNke&%Yku_s!wU2iI$Cw
z-Ion5&`2?-8S1Z(RJ7XHsh4qfN50e7X7T5$`FZdyLU%v;rL2h{L1#aqOF!VhIG;PL
zz#h0&6qZ>?xI}m~Qk?gQO%L#JVu`2@Rx<GTW2smHXC}B;X&6VsA^tmmt_NAIfCs}4
zfJ)n#f1m>UNpl%8$ZxiLKqbuk6oT1qIkjr8qN7@~D#~*(eY(Px=9U=%QDQ5nfRC7E
zU^$vgTodLdv{>p3LiDn|%+wrDt@quv%dVDNa0B&Ima}=~U`Z5~3Jw!J&f61Ca88;M
zi(lUm;;~7$3}ikGGTBT+<w{`oihz7HgDV6)rzf~FIoFuE;lvd`#S$TV;;qL3gk$c)
zYqFhGquW9rJ98C6UMG`?b_<<jmS{pO#QVU%=N?vk^%)C&?8o82pS?{Eiv}VcJc;a3
z>dO>!<d5Oma5VDSGEG&B;8Lh^ta?H(wYrnV;Q5Ee$dc$0!?Fu2JKWEbHmIU;1?wTb
zeQ!_5Q|J|}Dnb;_Jr$GnuX+4dZ6vzDwdI{YBOQQoM16@2RT6F3z<F9>jIels<JSA(
zn`Pyis#_KgkTGv!H6-o9Png3YK+fkL>v5_AK5n@yS~6mbHt5TokA5>sB+Q5Dw~v)n
z3C5?enHPp0*h->Llwniw1EIGcm^~mnZDK(5$N)Fq5PJuQ2uSZ&y^Hl!WIz-M^-0&b
ziVg{D2E)AwjNAHdH`-KWzwGD)7cp5))+{f!I)Ugmn~gQKk*3%KkCJ5op}Yq+HX>8)
z0&#m#uK6w94*02cmbdw$Zg|PUfKSv<kP-n-N)_tzf#ir$ZK2g-XeY_Va4<CXT<s=P
z)-up!*eQN(eTNFIq*sIxlw>35LJ}`{AwzT_L5!9bR)UNPjc%t*k?^VuhHEkfx*)b-
zAuhm_n@VT;EHcKDS&3VKpmeCx7(l-<a%GF?b~#_<zCYj>*#coMo<q~JR%qauaTT0(
zQ61fyL<_mbMfF)jv_y9w&61Xlf1)fxZa`MAhv-OZc9TSw+!UwS?Naq|-KnQSo(68H
z=r>zx>~d6Z8?i$oU$phi{H?vIFmUG%gR^rOu>2>c;9<V9!aQ;&CK;HVW)9F+wZz7z
z57YqIcR<_cT|U56zD|X7yvmT@9R4=84GbuqWb^F`k`}r-gd3uPE@C>vlQF?$;9qTJ
zsZk&AXQ$K=t?NA!=50;ao~J0~9=+zFgI<Kr3qk;XSBQkAZR3Bgc2%BZS~&*N`>;8#
z0qtx9;7qVu_qs;oAo@mAm27d6p`Vyg^CkFIx8Bfaa3-p>zmx`rNmnecTf@@iq{qeZ
zTojFIyP;GO<dF&@Uh{o{ZsDz7ce!2sJ?K}xP-BOdo{@>?1!U!U_2G-=S00I$V+*dj
zNR58QU$*H{nH>(gHj~WxTb}_L!G}-QPGFD-<=&7)uSkI>aK!r8tTui)tZN#VqLZra
zVKGkkLP+xddXR}j^tDV>2FA-mZ5e7Ke5<eRMKg}Al$#<c&sn=npza|qn|=%Y_3=HX
zVl?~rFBRHQGPkAQ40TZ`8FLMX!JqCyaH+q!SgotWj6PFr&&W5odL;vHQaR|hC+zxm
z5p|%iM`75BHmj!%T&=8*RP}Is_APEuBNxxd<lPrIe_Vucy}W9<L7?_Mz)`7S+|M!D
ztF;eR_*N9!y2oLF1^`t^?(Up?-Gxw(fy6V`3Va=ID|<E%`f$G8^H&jJfc)=j5;ODv
zX;k_Dnd#=><othUy4e{1>uS@K_KrPH2dv*tuTcC|Fe{3vlF}Yt!UXFTpsk~WQh{wk
zcx-ov^Yj|48$0ig^v|<jPHqdbxv#DVSpeY1L-f1@MbbN;;&diZXpS;Mf1ofeVL2Ak
zwaHxHyn}8KMu~&nS}Cc@z(Y-;CY&ZG2}{P24WXkjbZWv7m57u?nj?Afj8sfAni91I
zDGG)Vhh!l0L1KL`yq5%|O_Z7vF#32?4FX+zF6zMVh;<gQx<vx2*780%T05yfch(I`
zFqp_TlslwslRp?M1U8+LU6aiv{^k4bzexl-J4hdIw3`73)miy|b@N_}5b@L?g~0nV
z!Bte|V8}1(*>sEQQ%p1JZOu@bL39%h5#)~zZ3Vm29t8!(8wB^sSUsiLbFN}{ThOR<
zq?pxEL;psm306>P$bnSHd3N-i_M>W0V|5&0%gbU-YOyJAyAWh{lp1>=VaPp^re5eT
zlore$N{tB%IOKGZ(|Sh=7*wW3TA(HfJ)Oy36k%1V>h@sqKW(vLS&jUS3e5dBe?q8I
z%`lyo7V%pYtdaia3fVIJ=_{b^hYo=u|K(!ZOx79>LO!O76h6geV31?*3ZlcxnkUWb
z>}LNyvY^vvKf6HkHk&&c-Wi`8g!s+Al^&I6Gy7OzJNM<FB1fML_>BuQ+kcXJ7sA;R
z2d0AxB|xkV|3aEiJ(+O$2w~??POo+cBEpXSM7=88(uIF3QPPD6NXXt_KDsRXqU)Jg
zNbJ$L{CuwT8iuZlV_5zkSoa4@OWAAeJD+JZ(W0w26pD?b9DY>TohQ}ROYcWdpFW89
zwPWxPS8fe@VB5OiXJ#KK=^Jluh)Vv(%iS8ZZF`R_F7&soJQ3Z$9>H30m#wdQz1&_M
zn?dWxm#yg8Zmmt5!9QVje%*Sn(SACU1$|Ck8g}duJP*fB*ES8BzB>8zY`!kfZQrf!
z?K%Ekosf0Bj+kO)EPlZ&lPea{qvPBi<`YLyy4}}Jzh=6%YJM}!xK3^=_!Tytn|%1I
zgbufn!tPlInL)>u?``s@n|#-u+GX@;*E;I%v+sG|9o`Yp&5Kz7EzZdxhp0TNDJPL0
zB{@dI7=$>*CZWrtkv46YwXY|qH|Lkj$7X-QmrEb-4lOtOF8>_go8I0J%dYP2&%z5j
zwRFdp?*?fUW*npuqd%(BMKq}oH-*OsETQUyz6Dr3Q-i6MVu8xpQYxwCB~)P8%fduc
z4Fkj}N<$9T!W^YsQi>v;=XA#x8BS#0f5VatMGm1zzD^<C`LClK>s(9XGSs`Kz{)ec
z5)q+e@m)|OCE_v~Y2W`=RW(?8GkFo+h|42M0i7&zdkgKbI1NdkDJf3IW}vEK8<yeP
zD^wyG$`GJN{oxb}C_0j?gyO-Nu=|dJt3pU->^g_Sm*A089WTvB2FzPTq+%i*@LmkX
zF@aN05XBwp&ypY_R+TB`_U{4`>tED^=%^ioupU76RyC9b_Y4jOG8ALRuCy$r10<1F
zH6nAu5auGvX?KK2WE!Y63L9z@&%b+*FJM}(UG9#LeptF6JO`@l$50Y>n?oEHRY4^X
zXA@-EDpjUK%U--&CMAegO2Gn@J}{DzvPDgV%CNw~J#PnRARr7v-(#f%2H07-zTyVD
z1O}DLr#RD4ctoa=;6(%Z6R2KB?|5L|$h~O+L3Q|fU{Y!jRU<wIq&hejcY$tmM!_ip
zG*69BPK^Q47g}thSzP>OY$EuXkP^3m{$d39!6o%fsO2Dl#>3U>m1B!3csTSkb{|xv
ze;bs9KLKr09-aL0Z2^2;2i(&Zh`-tgeNJExOkeSF^6?DJPa*u#*(-PO3drQxZ{Q2+
zH#-PwWmSqQjmg5h#01JeI_HyXCcp+(VPPUKsXC_6pvfS^dz;K%O(s&90;wYEM6M=S
z`$D-!2Cxg9Zdh?mO}3DbX{m}!#s*L)QK~;2+2c^U%auYd@aqDt+MSS*flI@_j&TSI
z^n_*zu1mSf6$rr8@bL15zI{cR1pM4s;CGJw1CU1CvpS!=utKT1<P$w*k9b3}`kB|W
z?TT~&d5>-ubQ+y`jo0G??JiKy%jpU@k_aH+iePI%!MiZ^1;t(9fR}CuYEtC9O&qC>
z$`FXCQba@@kjcDR;Mlv1g?tI^gJtb00+d~6PxrH6&E?;9mK4rNu|pw#6j1;L10yzj
znZ{!gnX(RY2#7+?X%$SkWZ&P6OacUkCi^z6%qhI{{`eRQZP+?R*x%E`b|Z~{Sbb1$
zPe+XWXP~$9CA$N8Oa%c_G4%Q_k7(o}Z^q;Y{)Ur;I*(^uu@U}0Pq-1onrh^XdRI^N
zkV3O>(_$?yITWrG=fxK0`ru!Cu}MD14MNh#-@ys-_(NRN^7Qm|FTdF^E+Oo51l#iJ
z^fk8?CLQ?CV%WdGSIN}}riX;J@DEFp`{5}oFYvWWXLdJiyRuBV1XEA|DGaXwjGd%y
z6>^OVyvUe()!#-gNX2)mccKqc3M&}60X$v3rduR#qQ(?U_2rEakdl^+Dp_HH>oZO9
zU6}rM_3%64(*0H-2GP<Y_W%<G^=$5dnJ6VKTIAg+UR|dint|lG(#j{){>}3)q%!)3
z&EK_y`ktWrBCYbuI+@CH`S~7kz~Y;1K&JV?x(5$Kh84>-r~4KS0)|w^Gb&=*HQiEC
zr^hSAg?dgZId-{Ik`*VV1gmvPTwzWg!8YGYQK>6+?=s4k!=TE51xaEZt!O=DY(!NU
zEbzs8bMX$(@~gYcQ-xSr*<l0@>bZGZ?t9eR{R}H4w~#>pk2nm1p7o4<tiQ@1Q)XRR
zQA%-;bNr&RN6Rsp{MvAUSx>ksBTUgVrvBNQI4P`W3pa|5J!A>zzb~mFA-EB~K0&w<
zUey3@oKHcOljK7|^{C(yST*(cN5-_^#&C9RToh0vnkxD9O_T4S&BtsZd|^8ucwKou
z4-UBO3X@rNFkRDCkt5?C?sJFcy|?f09$(z+6~z)VO3@vL&XG-}p}DyO2KL6Gktw6@
z$P@L4*SkR`IyyeLAKh=J-cGHWL;*idy+6n3*>+tVKbGC?dVkuoua__>+fojm{&g`*
z`?C({_D&xY%8zBIIJF{6y_FnEk@w0q1xmC$M)RE_*W)1L@zUyc2$GApdWT5Udg<OK
zLcF}KHT8}(C0{(9^LE~(iVgk5ynY;*-R&(|xwc?-?2V1nPIv#&lWB>EaOSSp>#VGA
ze213@7!Oy1E;}66{CyWPe`<hn4UV`?wt3d)Sw?>~Oh{nU8m=*M;{f_^t!jaSFSu98
zDO4C1t;VyUhlh^R=b`+Ra+lWp$SCAWR<81Pg0?ItP^IJ=d#m<t<01m4u31xZ%G49E
z_2WNFh5C6be#&~|1Tb><WV>v;aX#}_U6Hq5^e1r{Wqol~Kg?rzDe!U(pcLRGQd{8@
zS5IDmLU!}??<AkwX;t6gqkm`U|93k5wUqs*Y9iZzojyx7wB0v2;C_3Zx5`xc$_sxZ
ziWb{k=F8e-Iwhy4*KAJ&6H&soHSbT8?6UZK0R$^s#VzNrqa}k7CMUw-0p4s_51NvJ
zzXd+-?+xCxhMRtCi7{sBD@`Kx8PS^mQ%e*`n&AVzvGrb}r<<pD#s#%>W=|)R$e%$k
zj0^T>+~JgMdTGsyE~uiW=Q3OL%Ne1<c!cZj{Byzt$LEYWEleC-)83+2Ai=QuB*y1F
zMT$<?JP=K14|RUndWGe^<lb7VU=;M8W!5QZy0G{FTEl(QWcPh?)Rh@!1`YU;25H;)
zdQ&E2yEKhXwOk)*mYcQ+j?HR=^{!Y?=afCav#X+}o^L4Ysb~r+xeH-{t~<9m-2w-O
zEV{AQ@)5U}Pp>a-b}?z1Q?EeLj@Xv8&~tfdyWWStx8DJ$hsJ*P=TCMAngvpNF9zTG
z+7PD|itQdsu9uszf4lS8cs)r>*pD|~LrKIP2PVpZ$v_x_OtphT|AwLmtAn*vrGVJJ
zo>;>MZ9(kJP>tZI;mPNr!82s@!0vFaYMZ4#O}eM8=2lHw5OcqA&!G+$X^er#8O@%Q
z$h>y;@VyP->XM=mc@dAx-SR;}&wwi=UJif@ihR(@Bs5&*n}UM3*5F%IpFGiXJ?Z7$
zsxiE%xThU6JP1aas$3ZEu7cANKvtM!oBRffenT=F=h#M9EA_H+gn|}R?Jzc1)&xaG
zUlzoB2Z2iE=+5&W&?Y;b;sMrv;J69R)xeRFXS%M+39Mf2Em<8a2tE9ZkpM(^sCUag
zgpEFl>y~#>jR*#<vQ+NL9!k44u-4#U>@sA4*nJ$ebPC+zcmPp{X(Br}c=Ld9vs|J;
z%Hm-6N%w7z#`mZpb&t6-26v8%6w|$Bx1&oGJ4^i>C6F|Ui_JD~n=mT;J+qI-=A|eV
z2uTJ<MSae5Dk*-&W{)}C*mu|#^;dWI#Wr1Th^@5KHsB-~cG`_X{u^@p>c}p%q)-HC
zFfF3*eo;%*X53lKdaYwl$dGw&z{%R^>)}Eg{Mpt&5D)HKveH|3**zUu+}JEMxRHON
zsO<F<4p%kD1J0=3AqhHZu{O4@FgxYyc8yO!{lK|jV)QV9kSw{Yn;Um<m=D&4j@SdC
zXutAHAu-I+Jn}Hypk5S*LgqI5c5E1wAaNxyw<i=}8=y%}Tz67Md#KXVF>saLy-91v
zrtp*=u*$QV$8Ds8lFP(^R(VbZq76~Gwf*`E4chjY7#Rr^F^i39@$RyDXD_{FaJ=IK
zr%xFfJ!Nt{;vJpgJENEduigs$B&I@fzYk%x6{G}(Z=}6$Nf$$Rb(Pv=S59fMIa(VD
z5|P^l;Dqoe4(9&Q95Ym-Crb`g+7e2SLWyL_JP-En2mWH%51YAr+6u4a{9%z~@M7fg
z2o|U|#%u&fXcmoIZ)>l!qduuzEa6+lvt=!FfsaT$Qr<$50<vGl7vs}MiAdcT093fn
zpkch>hX4`-*d5-g#{!uqQiN@yQ~W@FX%&u`-Yh$<31eJZA%oxRehqQOr6(4Q^*ti?
z4{ax)#ODP+8wF2fw$k#mm|CBW#&SwXfM)tcou|b70QTsCz*}%?%iDc-xA5VMpN5p{
zsInhE8_hU8eKB(&d~#hbNCPXf-NTQ>aCu)~hnCFYxEQUZ9W<Z>2!|}S7AdVg|HvTO
znh(lE_nUWc$_!g2vhU+M>9opV(?E*HmTRl_ergjhH-AvF%Ph1VhRhc_6b24oOkDc7
zO*#GSuoDk~9UWR7Rjvji*W3Zh8FS|NJUB66{fVHn>I(@G6N3lf18WgZ!2<aL0Po<w
zZW2~@;U<0-hwwO)$BfTn<1{E<jQT#nlA=#sFyOLg{S5RRBw&{uRQmQ_S1)4Q!+T~z
z{{^sq!a%1rw!50>C)vmvOhf0-zGlH_Yacx?AN!uG`tGvzLltd=b!LR1dth{l1vaB6
zSA;1+#%7RE1SqQ}x+ZT{GE&OnQ8mA+6_V=K1~rl|s}R9x*5FfCxp0sTQ+ZLiZ%Yy$
z_GQ<zVv@bgXW;ikHj8bC9EtZszjO@|t$vB^E-%MsU;_@dvVgb)XCWnF|KO_T5Sc|n
zy65~s)sjrUwYVDaEGCjuU9X<_b>M~Q=YYh|JD^a-WJ*oaXyg05C(k%#_^=-kM49X7
zo_moM0`x;unWKaMWO(E!B+OfKn6Z%drD%i3<2^u(WzK!z&1vH&U~?EymQGBUs-#pF
z?9NV{jTPU|GuItkx>G<ax@?y0NTRqBj+&dsA1)^ayrR1{feFnO$*5Bg(M_|8o+-^e
z58E+Zi2ivn0%X(57OsL8EANw!#}NXN)$PP9e}PYUrG&Gb>eRSAL06_DLeUu=wMExm
zFxTb(%R?hHs-*X|^g)h*lS`!9Av4&)wGW$=Pn;7oHs}PM$$UtR%7@!w-^$_h<CQqu
z@_NQ1a!#&V<V6h~>FI<o{p8Q12w~U0Jix06fF)dUHaL=ifz?*VO8}Q?ctqqql;|it
z(w_LL?FYSJ-(^nwq?FI~h#PyCr$6g1PGZR}>;&Xu6@CJo<6wDv8vz(pD9al<PtjXF
z-!et^hLWT<{1lO<e&OYToxD+p?B9z;jNwl+M8!*$0f~%oAk^a9L8wbd3Pxr$=66Jn
z>|9sy=&!^v%oIJq`1rg{7^5i^i|SO2ROmX8Jo{;Kw8*~Imgpv@V<z#H=*8r&Z#q{K
zH65*2*8O7^U9?@U3g|Pp=(m5xuy;OQHlyxFQfqvi%2Sv7N+6rLbEQzjNwl%YK`9oO
z+z%VbTCFyL#?wPj801##mrIvL=axG9fx>)=?khi`LG$x<{?c^73}y;Ff__k*`|Tc%
z9nUYdnO(rLiBAbZcd9|LA;(SsRi4duJ%%uHU@H<SJ>+-}FLux!f>TcS93S-!wS$7Q
zOS2q=DH(XXwXCcy7$(b<PG@YctG|Zy2ZKjCWpPDWo=dZP`!QpcLT<%lsKS3f-Zi}I
zrR#*mKU9;vm{fiUH0ImKr9B>hnyzA+_v33x1&Ag?iT}`XN`@z?DM5ZbOzb=C2+g5~
zEX3mu7{T$0AW#?;jI$+Lc#<FOU*DA1jc9JYo;v7*KRaYgCPS2<Ux<RS6Gg1MBp_4K
z4<OhhW59n%V;t=NA&oII|JP~kf9%VfzxL&sx(xDh<$o45V=I3FA#>{M*MQDT*t$Ll
zc!KWChVzKm#(@04U8+sv!DR?4j{qgNY;}9TJG}?Su1Ion{zB$k!q;t2#*4CzY34<k
zIJq*9aZU*FNj8QYaY~>i^9Sko$cmy>Sow2Bd*J0TS<U!-a6d%x+BEK3tY!P%llg}^
zQV2~K9_hKL)Ul7JEYZT+7FUHbMc?buODHY=j%xvbnU5y_uGxuJQg4bITV^(%_psQ`
zHH-bRsQFo`DyykJ(^oG?&Xh63kt28F8pk4^3JTThAGa@OhNQ+ZNQPBmVZ(YZU+$bM
z`&*8g+p%sV^CybZB^?Gm6QBHS7YtNhBWuK=*Y2Niw~GG6df!L`3|$!`eDl(R2FUns
zfkx7?4*LWaD719)H4k*S@F>Lv*%rPgyJ2BUt{{mxxnV;L7qSm>Bz&X%iLB}C?lnx?
zpi+;wqa{k$Adt%dWIo0ayc?a|w#;{iBxP`^caE9y&h$xir%B825MRO=%k**DgoH`c
z84Vn80HB)(LRcm`so$|<!a&$3^?135jL?Ab<sF3afU%56NZBB91)nE!{7A(haYUF$
zNIXr!C<n!WLF`3Kb=hVOi)7R~M)!Ti@5dD{Oijp2S`t*-!f}Ox6TT{n@VFYP*bKeQ
zSm8+7C+)4G^S*{4YB$URxovMAGRH|+BknJCDh`Whuec60t)Vu)nfTglCkyJ#3z{5(
zoMr>a9yXde=~V9-Lej4fDmy2LTtF)FNnrA<3m`TFm=LZBVT(1)SQAt?-6%s+=>zDZ
zc>a5&Z)a+yl?}<3^1Rw+jRh#?--=uxiV(eOBvxr!ou>rU6&3pV3X848?Vn~|fXx=L
zZMPEvZ)DYZ(D;fwRWHBtwXpz=Kkm0^{V@a35Y4yTNU?soHm;A{Rb%o<!(+2L#^sOA
zF*@naLL#H~lKH3U5D7q^Fz`64Oon*i_zk3N%4^~IjDxdJ?(oV9wjU(!Y+aZ=$`gOj
z;<tCiDX*Coxn<4aT&ugqbv;*|dXhmc&Zp@xmpGm1KP9zum3*!~BVRrVJ+0m3=-s_>
z!&1U=M#gC!?fvvGTi<Oydi~t$C-JPSvs>3{0p`T}<b?Z1ZF9pAKmJ(QlxmCRBcgxy
z3TXpwdG&?m>}ESM&I)Rv)VRIXt~`KGX(`~C1M+)WR2j)avZuDXu`*ICcMG<~N_BC<
zOEh@-ylt_o2)oSGA+ZZ{)5nD7HBKVHlGO~j#4fP>)?}}kq7IcKPR~7A0AP#<S{OZI
ztzw+6S(95N7~pzoc{t9=292o!_5@rx5rp~#uKjJkHc_0}!`)#bFgqaRFEZE7&suxE
zz0|7WLS<Vez)l$uF%P!TVR*VX>&*K~>RGi#8oWgsIlRy($=JZor@ey@<~s%bJj$3_
zeS*2<^!FQJ>sIHc6mh@;gb#rBXg)?PJ|bNdpNHQ+J|UPX@i$adI-B4^V{;Ujn6rKU
z82j}qfp46DAt4w@wmTpYF6ku2G-r}Y@ku6GO%zc*FBO!*n%}BPLjlwGw}{=nX)H(a
zM;7K7WTA)s^fBu{4D{^^ZFW<wO0cG86y5h`H{4CU_FH=Lj5uCr-1cs#T7n4E54H6I
zOPNe<UdKSCWRbM?)kvHr3aWdi)UqfojVwKkPgvfBWZsmd-u1WVb}aV68ry6cxKSif
zXjO`f4=BM~uHDa)yO&yP(~E8r4J>Xbg1BA=4*P)@(Gil{y|;H5U_xk+bD9{w#j$0~
z`@;s5%6e@xM}VBKI`9p23)zu5pWxaq@Z&H93n-qQ-q3N-D+1OaKIx4^^4)-qQM-Lw
z>0W52`q{jEk|C)l(4N5(+`egl$BBvZTtL9jpaMAk0#p?I;tvhdyX6H+#()VtDA-Se
ze|E{`1~(yi%nA<n1VTGb1i&Fd+EsJBq1~Gjs2f6Vjx!@HMzxDsjvG8mcb-blaNyxC
z#tANcSO82yHAqI$U-a%enqL3bXs;Zl*c4pOqT{prJuLZoGF=h)2Hfy5B;~oC7n{EP
zgM487VhYxbW87jmLa{^|csG)b0a)&R$D|~@8~91;=vnzFjyu~2K~ch|c!;b3OR2|p
zkF(eF8Z$fDP9lmtb;4Q1qe_?Ai?!6Qih{AXDuy=ojR5FxYt&SdS2TX46?x4B1^wcg
z&EB?Fo*9SYpimpd4$k?<@2PL}JQR{38w~re7U{E`2(regxy6)yTP@OF(qR`B3KFI&
zw1}QEFxIM0dy(2U+BPVpkq&<l@X&a%P}yk4&VZ;26rWrNw9o`=Bw;)t`eLpg(=<Wt
z1@Ak%n>wv8NkCD5Q3IDy6Q!)KmbmdTd_pQB9A5FY2~!@U%z1+I&`fuD(3d<ME2{HN
zI#mp*DaM=_k4E`tFl%yP7rCeh?~n<)&S5*OtbB{ze2X1;=wOy`d*f2^VUEI!b*O_F
zG{w*CG4LgtuCeG8W2>1Eyzh>}Oz_&W%#q)#Kcy<PR`|-M2Cl)kg#Z-4Z>@-+L<s{0
zLA}ZsDHm@yPoC~80m+tubEjtgjs%Z_KY4!*U#ckg_b%s82{`Su&ihmlV!2jd^&C6#
z=S@Tcc>E>g9o9v;IRRW#pur;ueCO`SfP@t10BbFv1LTs@T-g=QfMkc=dtfSm(;-)R
z82a@6HJZ8Duui`yoZ_~3KJC3*ve+i?kf&;iAT@mSQM*n;Y3Xb#{V<e!gn_F74tlbg
zqAbMju%|E{Vgq(Ww?k_d?>5i{2+Z{Zif{jr!<$|x=WpVXXEw?!$6QqROo2=cDW=~=
zpi7Y454khZV0~n}soVa<Cm=g?{NFi+mGM7OKp9y${##^0sfMik?}Yr;ug2v_I2T#)
zmE`|o>>YSS3%f1dvTfV8ZQHhO+t_8>wr$(CZP%{4yH7f|J2_uEXXVZM32Tka@yzEP
zxXxaeOj@^;yKaqch1Lq9ZA~l}SCZSN+5M;C1YA^-*^t}|0{{b#2f5AZ2*BBiIX<6Z
z_RRP3{IL1d`ckBOR4FT(x>BqSNwZ4+R5|9<I4#;sYO?Zu^5J1*lHP@+qX)tCaT>l^
z`fSw^&ucn=N-{{}FHX{uf-H&B?PEFl46BNs59_otGt^_T<)q$fc%8tF%T~QAwb`r}
z)1LZ~)vi7h<vmj?zpAur*Q@nZ>4LD)NWD^6KH{g}i<RNZq<ELkd7@uAD20<%R$~~Y
zN~x}V0NG`Pmk#_{TC;3zqR@k~q^ZV;?HT^4nN2!saGRi7KC!uWQQB7#BSW`cNPVU@
zDCl@a)2L8M=eZ*D=DY7yd0%#cn}w4j%680wrmG)V@tx%_Qhimmmi7nIrWLnRIr1|;
zS;{gm+8dB2ht^tl1FlLloq+cEG}+{DGSN#}Mp~}C%*x>-{i1`1rJvv`Dao}k4Gj<7
z)pl6-FN$#iN+3vX&TwUm)8~MhT`1mST{?(otFX$fw}Y@@>JTBg<dL5hUYd>05^c_N
ze@(hqZ^=FA`{{uwfNS_w8J_&QF{@65o$=wn8Ea^hJagiFCEEzYx*taNjdbq2<@wY8
zmzpcgYqy8tRS$wL1A+_55F!<XHmURY9lk;)z2$^f4kgx}*gD^9_vl3wr+=hc%eEDw
z-%6KeLuJ}*rPUk(qtcoV5?~AUF!lS8x`VY(8@<YD)d9LMyBz+7-L*p}HAH*8v}cY#
zC;Dfvcc9q~z-oo?^=M-beH<;Rd-K=8+U2paI(22e;`r1K;!_MN>m=@pJgw7N;ezmI
zUH7Lwm!A$&YI3^lQ4y#^7sxXf<Pquu@P%?EQa}N!5izhZoCqjT(P7BM%6waYrL}Y<
zzd?jDMKi(l%f?`QwpI#}|BZWM*>)9}ts;5DL?tY~4W1wl7sk_p_s|I9(SU3`*gK^A
z(um&$*Evvv_OfvRBF0vTG$tTj{z^-!p{5n~O?cTnoO8a##_T9Eh+-G))^<u2!(`dl
z!2I?-dk@6)A;8#Rdzr@oY=e-+rf3+5l%x_h(`jR_q2j<A$Pd~V%~w@h2=#QjlQS@I
zt22EE_Hodfun8{;y@{!M3#oT{P)F@_g4{%CeZQ%4%M4&zlS=7JL`c#$k2d+UHl)yt
z44%=zh{+^lQ`kg40)2@xKp)_^3@W(iVF?T)>1)E{&;-b1KgwN9x^@#^l>TPXpYQ=l
zVzbW@JOgpXDDr^Q6tHkfFQ8qxfzo~OgOAM@B9Ae%DA&ST%gtxHttoXG=(RZ_fk#$t
z%T(Jgl~4;YSjAcZnZTo74<O}EU<8JyGqq#<b|`+ou6KPIU`4_Ciqw(e2Obc10o0-Q
zFh+F`XO}qVbdciB*PEotGIs=)NrwZQUEDllNk^5xUH)w3+P6bbodix0H^%^lfr?C{
z7J2(|+f5K?`%jl@5n2N*j=G^98U`i-d;N*qH37@AsbdRCYf$7mR4|*Xfzg<UP$1YR
zXM6y#I0nH>KK8gULLAC6nsENdt2lo*FQ)Y$yIFD&oOHnGAgm_Px9Un(^0rKoBQwTv
zv97GaFiP5<J4)Nf0!;xM!P#^2z&)nO#SQh77>sQ(85XT`7ygB7yMj=MFl`Ix4ST{>
z;*oE{D9W19p1EIp@Cr~00xQD}7phD(hY7KL^lD7Q{3rhqJpf9>?A-!%zYEKrZmL%5
zpOm;6+&c%G!;F1IK2HS3$?Ll>K%v0+1_=rc)FabdozJ7;f{@K5aci<TvPTTHvU!du
z-@H4Bf1Yn&bl(dUup0@cr39ExIYVFd@iJ^TL$6TIx3F|P>{}A8z>YH1(L&u>i|ytc
z9H2b}02&GZyH6NrFKrs~YFii)%Il5LZMItmq%h=tTS&u?1H3XRi!Wf2iC*fr3ktAE
zhE*WLZ(^-^3~z?&N}8;}Mr`|)v~7tL$z)-90l<qpWp|Evt1AfT&C)k=RF+;bgJsh%
zd7C`(vgp|Z_T}4=%E%da8*<k0n{r4@&%6grQKIN_j?0wwJl;h9=y{<fNQbsj8P}Fr
z%caKwVD5{6KVWFun4$rKFJMLpCG$Mh<{ZOi4yF1j5R%pU>ggms(a1q1I&)K*vkdE(
z2;V_j_*a*ubZQL`kiWNQN$TeI{4ke|GLRd=ho%}RZKS=k6xfI#1nt6eo)+jhOJKl>
zk6l8>5H;oKqE@f2D-JIH4k3)(<)Hn(BNacWR<ftx&zD$m*8rLsyn$+23*k6m)|D95
z6`O$6EW2x4Crqn*qTx-oPZX_rU?d)h1j-WuGB0iaT05uDJlhE)L(BmXF(8uUn7n3m
z3{<KZ4t9Zitl7Dz2?7C5w@x`#fsze7w!bS##d&z4!Ip@pK~38JG-ewP(c%DDxte^4
z3TQCE6ah=ZnWb@K{PF$1-`G$EgS+AiI-FYv5W5vjPpY0T7=N~RRTCdQkknihm-#P9
zs?U2RMyiT?;pGP#ps_cvpHUrqf3zmJy2fDc<#pjAWB<(mhBL)BjvjZZ^Ur%=`Exw0
z;z*^*S-e*a%Ic$Daln!q*T2E_Ei`mk8vlx3`!BuVi+&M>v_`h-A88YHx~5GGxJ=_Y
zl<tOGx~tCPH!EY;`O7p8g2+8Y2{{b)l=qc~#2sz&l9y`|u%9|o5y;J~*pIk$S2UK-
z<5Ia`gc9Y%_OxQCtd2rnea(kq*)Hrrym-Zz2tRM{t%(~m#CRk!a0d}`3t&9$m*W7}
zf%i&$(XRxtU?%h7wK(PZBW5TJW*N5BHX}Qv;>qezsdQJVf4NtdrOo|-2gZ$Y{D;uO
z{GWy^Obl%Q)6kNW{$DbIfV&@5u8#6bh{0%ri>Xv&^F-N0+Pa%c946;{%HhE<B3=?x
z@gx4e9gFxxoX>=Ff`C}ET>MW#zK)Fhi7((Ek&o9)gP(92^8Z@utFlj$sZWlMl!TpP
zil-sdFKX(3Kd!8--IXzCQd^)LQW85`QW3p|<@Kp8kSQ{P^545FV~SJ|__b_?sLKse
zpVL6VQF<6jQASLm({EYIh!D!d$87nTFs9>NQ-~tqs;J`cn1|LzO-+_=bJCTr*}Du2
z*;z~+R)t<$FC=aVbw}mFmHqAf<WMwYLaqm8DtgK7Y_;Bg>2!8w&9U_8`VlL+gQISf
z)j*&2itQ<6s6$h+w8^S-z-{wWT!D>LM>EA8Pd&IvJpeiNPd7P(C{~k+27!xk^VfB|
zrL))BJ=iCU-Q6_xJ2QxEh<HRYm2?S&Z*9>#)s7;4>2dEC!X^v7{qkdG`j#odWR|+V
zi<}(wLZ(p@HusPMii41or$jZ~2#&ANCj=P#w_!-&s?p)$&+q{y#id0=uj{^rH**%f
z+0faM0X-XXJkgEXkSIAi1C>&Xo#J@l?d|S*{}u@0`_CeOftABhk|^20_5O*TN0a|>
z6vCWRlH^_2nJJN4g1J07aWdd9zOOFOlh8|Eprn-o_k`akkd!gaA}uP`RpQsnAO$(s
zpv2=f7qlNAMK8U!!M^+&m@s{3lsX#dilVzJ0Y^n^dxmKhP_Vg|eAmwEme7_%trHHP
zrKzY+OJGCY*S0LKcr>)b@`qStVh`)uF$MUNUt&y%ylDX&P|Fqgh%!m^tyWuz_8>v~
zfc1XoQ&NFjZ));@M-iNE(AKg7wAr5bt@R=s*E~;{7kB+vqb>^yQ9a{64PnY1^iWs5
zo|@sU5EnR!e3~b&!%(ZNC&&kPr?Lzit;pj$-{hNQx4wumTDhe!LH=MiG{br1#fB@|
zv)I$ffu|6lJWkn4LNB0!zb#N$$iR}F!#W2jvfz=>erx-wBI!Ia;lACTcOr{SrC?^u
zxZ2;zprA^xO#P?XZKo56HjYfqOoMZ*;K`LU25}j_qP>1<g@ICukeOaIj*rDx^AvaG
zar952BpTjsD=5(clo!?IDmQSsn}tnF<mP@s_RT!6twg4~$<@=<;_W55fmXDaX4-ST
z-A!LmdXyV5JIt*pzk%^xb`Lz&IYhnl9mqI5oy`R=U~S+XeZkFY^vt@gLbl`vut)E7
zma5#feO*7tFQ&Op<=Mm8MZoXUDDUnF{|4hN<s6<8rT<c=bMtNHlnCOQ!+8NwJJiZE
z=&ER;h7}(0@6qm7AyPxI_3^?gPwZ|30Y~v+F`aFEHWO7`uvG+GVgMmqkE^FNtGc2l
zi|f{`mbORQ?L3~haHuWkGFy#p1vfr-Ky!5!_Hyu$Tkz#1U4NZ$Hlx>foC3c+J1BtW
z(Z*hTq5ChDTp{xoZI2IQRIs7YRhq-N7bv0s#+vj?{>$B9J`#np<QN>@CwRL*S-J{6
zVm@<fKT|H5z~wYDfhz$3=)rk|7uM#VuU28IS)DWB4bweYC`4*j-0(yS#GVErM8%*<
z2}mh0sr!hh#1PI*33-S{<Xr)&`sd{5h?vg9+;n0B2piZ8O^0&4irse$20qc)+BNW4
zuW%MC9d+ofXZm;w{otfFc7*QMTR7Tc(hn+-s#cs(6;l~ACl;-dk2$Z<9#tMVL)B~}
z2x@)A!BT|NkvcZp&F-iZkF{pVr+BM}E|xN%*@ebP5CkxR^aC=)Q_)n;DWr}$C&z7?
zh!v7j6N-i7K}83N5lzP^8`^Q%qT?V%$d8OaLcAd<!cd?@P}B{nY3#3^6Ft<yh<GEG
z#YcdlVvlVcQJ{NmbWdT&W1s^kWh@BHQT21P4)E#>!M5>O!NfKM8CvW|4TKm_WYY-P
zy|y}Mo1_g*uqa0{K%x|L_qnbf6RB>YF9T|K>$5R*Fluz%?F1MS#1Xz%xeGfn{UpZq
zwK}~5CT!E%q;*cMi4n!r$pUP%_@*XG7vPxuaTP)`$ips|w6PI?@*Cl4zE6LFm0ThC
zlnK%Zsj9n91)5Cw{TMHC>PH|IZkuR>-DkqS#YFR-c63AyQ;mF54~3bMZDix+OBIjd
zF(*TxI(&lhfwYho0);|tJoI*+X$jo}H&<unfFak_cTegZhsTsH3o8fz>b%uuu^jKC
zfKiQ4{6#77K_nz3)J@oUf{2uPh6?M0Di{#7#vPG-H1PPwq4ko6E*uO*{mvWeyZ_|@
zvh$hfhJnCh@gQkOXYxWY@MyC?OX1gV-*D%?+Z*hCN8U`p#KYrx7aB9TKKi?Z9={{#
zM;^n3Qt=Iy`P*Q?>>wWkcy~w5M>c#0|3Ove(+P=nhe7FM_Kd@XvO5G_XuQ~NyA6d)
z6*UiIbg|_4iNZ!rOFBWyO3S8t>x}AiK9hR}@!9BK7hE>FO8a%Qw5oy~EC{|!sO|Zd
z<Mjr6*b@On(lF-ZF_LE9cH*^t8q@{~%y>+2gjg=um`0@FvU%YgKrUlHmheyoaM!~|
zHvsWtu<RW04+I>r1~!!v6Cdbx`aXPxXvzy-PPyUuHktNM<H{Hj$(e3`+q>_6b44BI
zBb#ySc1L^Lp4jycKHuZdV~g^iWKw8H{yKo*;~GiG<8lQph?aYKD#HuvTDQKv*?ywv
z#|B$$oqwCUy_(1-#1XI7i>fhT9Zer|)=3S-iMej*HV|}BQcqzAe0M<AqW@YQ%3toh
zyWt<Ouh~Wd@_H*D`io+CY^<JGuK|-V1b(l*##i^|zjvYc@yvLl_;e0jH+;U{R_)fh
z)fa>|koPBq0u6jUbiv<-fF8<miOBsVOlf@4w~2TRv_QO57B+ayug{G%25I~H<FnHx
z6ujEh+dMF%EQmJGFb3r<aO&s9^WPuNzi}T7`oG5=78cI`t4sQSa_3C{hdXEC{2zBs
zGg`LxIRD!vJ`sL23mr}$h|nK-#3r!y4_s(=j1fq!i&XlOYv)Ft?7L(3_I4`C&TMg8
znyl~N+0u04z~OtErctg86jFlKVcJ9y`Q`(kfV72`LbZjqLQ*=+hjp5$BTQo{hUzdG
zD9$ZT4o3A?6EYj}Mrmw`X9`~=pr>sPbB_UXrfc8t_nmt;Hij`(AXOg~h0;mNEfx}t
zV64<cc(sGMw0zZ<LQuXd1EU0yg)*^vAVjS!`U>%+V5LZ+rKsYcY%f2@#43l-n@cZ4
zK_3-aVI7ODton0dL3FM&Um#C|>XNP#D^m|8lS;)k{g>w6YXvN)0Edx_#v|~72bI03
zBW#BJB1{-Pl;CJm6@9olR;Lu|`XWjdHdUu|)gaaIa5KnsRAauMi6#MSmnvlT-wU#C
zXjsihR|`rFl-PKo`g5`wsk(y^o69C$uo8_)k&DqvgQdk!w8`iq7IkWD7aq?PAG~w|
z^_4jW+`Fq+Lo1L^3@PeRHMk)vgI}ruMe*6DKqW8GqCBL9X|f>d9RbIHVH#3b<&7M_
zZV;zEAf^Id%ONn-^|w4jxBY;q$ehEP7Q|4He*_%$Svm8I_)~BV1KM7dous=HvBQXz
z#VrZKPqDgVV0GqI4@b*Tc+O$v(yBi^0|M{5lOa+b%WpRMzLoMD4gPOiRF%><dpiSb
zS}<Y;VPw^*di;RXr)pBt(o)jxmOfotfp?=;jXU`c`qj+V$tkL#_~O-V+|JrgTKhnL
zoqQ+y)RV5qNFp%|21m*|1AQ$mlZ*M3BB&94-R||g>04R!3V#=QS=nEJousFo5wDe=
z>z~g<>))^AvYlI}FU_?cUH##g)3HC4pNXz_^loWcCvICO$x0zL_u}6dXL))1eOF&B
z-BJv|q38u)TYG)Myan()0?O4IK`Sd=?sa!5CwgpcIM{5H6q=F^1}kIZMjwTSPcez4
z(J%<u#L(LjKyR3&)M!aDOMnrG%sNiVG|wZY7^Kvc;#g}n3V#AtwHph*oc`MNczSxe
z^}=-epL}fCwQW}iUEB9{?*2VExwUD7`J$8WG{0J*%gznE#e9u}F`5IYV|u=y283Tf
zWXCA;?$yle(-|yU_*gP8_;T~?fo8wFbsu?Z!cQZgH*3+Zb<?gE-m9|@z4^3q?%jTc
z*#3P!JK2hEqF-Gr*yDkVEBSEq@M|6DVraQN`HXEHDaVV{L5~ypN)1;FQwwLi*>Z|+
zDwz4_?`?&1`Z{wjW%3G^PCUoRVlji)TR#Jlm;lo+;IRy5R=xZu4M2Z2l@CBTq4{m-
z;n&i3A;IHk8QjN<+V}Fkjw4O6ymXq}+4zS;YW`5`+4*z+QeyT0LD9geAWU8jr}pbt
z1c6*f?*@<nj}r)qC{9|IqpGkjNsLc5TJZ?-G*lxjBZq`g$qpJ>bcVFqB0=sEly(;b
z!75=B6kRHp+oBLHL)pa9aGc{bx|2~tbYyYmucO~Hvc#)34C;CoffoZo1yPKE@yf3+
z_@@pMrjctibpVLp`u>>_W1fIdF8eAm+T&)3wr~+Dj<}nCTyM5T)#5w=O9psBUXc*+
z5e%s-krSuBrv#$CSb!2H3{lK1w5Mwzh=NE5^3*c;r}(BWBDF(4s7(F?y{@}3Y6c5Z
zFSGFp83G50wLSEApe<#OnI#tutly#I>$a-T=jj>S1=5WA(}5Mxao<T|x!-g-sn5`T
z00S|dYo<^OW9!$diOU<EeyxghwH&2bW2p^&2rwSP@#Q5im?v&wg;V1P;xd~*hzmbS
z_K&-1HcdAy<R*nC@JI=h+@5#E6QgE(r}?0<2`eD%W_yR^h}IKF){c12({BP7e=_ab
zBXz6JO@YlnJWdB}Rr}w8t9JL$15e!sOVt5a)BSf`k+@%*+pIbY#wr0^=(VQ>;!sUs
z4-}J@K^f^ItaPUlaB8fo>n(sXh>Noca2p<{2M`gINYfxC=#-3{#J11=M#R<tB1ti%
zqs22Pcsg9RYU`M}WNBpxaC8h->seuQGz^JdOj$8I7=2&)iM>fdA4~FrA`^Jd(CW#@
zaY0UqJ<7r@y^;!=U~9SREy+QiV#;7*Ja{vl@V$xDMvg~Mum@0->o8Uy`<P&=z>$EI
z?_2a=JW$4%aC_A#8yL_Bzh$BK($qUhD-#x&zg1@*bOqF@rJy6XCjw}v@GB_Li;mO4
zJkxo-_>Jbrn}V6KBP<XW<b{R@5qXQ<iE4u|O}K<Fukhq9?<D?(RdSbk<x_GOS&dIw
zN%-q^;T^Nx6LOn=?b|X>-1vsnN!$p8tA)#6_iGx6e9JLk46ejx+$p{By)}X{38v(i
z*0|z(u-JESO{s}}`?fsIzkjWbr-iA7yLsS?b$oK~ohx#HBx#c`%xV1$FDM*8F;aMe
zBN!&3={-$!$;hplNoYDP0gEvps`9myN&B%DHda<|hQKMu-u+~7py_c|!}9h$BZ}{K
zNh{)GL5jw>;EeXFmFO=LEPSpK{*JpMItpWjfU-JsI|gy1JQPFpE72dn34U)y)hxk0
zKP&u#L8X;j<pt9knBG1gN~#q=okimTMisuo{tMOzzZW%ck!VIeu5M+9?8F7n>o+Qx
z<ez$7L<qmKk^S`iN$401`rc{y1KJ#H(tB7<O(|+dIs4l2nB@=9o==%VIpV4CnrcVY
z2wtCALL^<dvte$*R1Z(dJ8#e#?v<O3Xv^rl-}k|p3^C><k{LzdZ2u7kMIL{>eJP`(
z0li5D%}{?8p+cb6BOCq~V?u+=NBgyJ>7b}_TvFqTLi4G|JERjYrRU6}pK;@h;z3dK
zq4SBuw<QSC6q`Ky=BUhIbbMDGo|lRmb@s<2I@|C0iq2Tgo51*0S<t&QEBw_#Kith=
zo{Qn^U#p4_wz&rn!v*`u)vyj3VknCrl_Oh7D4uyj(_hyM%65ovMt}{zS^+hmQMEqN
zL0r--q4M~ar}FiqY+>!nNO)hqcK8Xe_5}<uN_&a3_xt9Wemq9=>WU#iHogtQ0Uibf
z%~KG42>#Yhm+?jHn=n=FFbl+!_sFRbfNkcbeBpxom!TggbhfKZeVtwK0Fw_K{zdLS
zUgJCd4CiImmsFFYL{ybNgOz6Q7S<4rsU)?U>Iavn{TGd&&WmDka9H$do7}GPR|<kQ
zp$SOX+~ECO8d1wWs>M%b{Q7|^7oZC>V^?<JRY1|4a?|LyNB=hdBWWGR@*+@N8m-+e
zBT{^>#H3ar{PjQ~7<q+9Ui2e4s{fulL}hHv+<xi@jBo|<Wy2rXetk#ozvo5P|4f22
z{Lec*&AI<Yg7?1F-BVKcsWTH%Mk?7!W=?cB+dVB_<GFQ$s~XwLnM_pSTQdDU11F%+
zbW1MYxgjI~j3A4Q!xvc1t1<hzevJK%;py^q{?3Xphm<BloU!YhL7Fwnn=9lnk_5{1
zc@1w{e%a9(&ZXO(MGwsLxWkaR_16EMN9ThVa5|M)@d2#G{9F=$0)4wgZuDcQVx`jl
ze)462*E&-%s`JjbQ`@l1%2Zl|z35eaF|d(Yx^#N>t-Z5sU2zKrTftsra>sL)<L{=;
zS1p)2GWyBes>+BlgNExOMAG^kjh&wN`qnNM(<Vhi6GM7k@EWXk94)~2R996`vlPs`
zzOf_8p#P-bm5Zs+NDk=%w!0Z72x1;d+MO5`Aj1HPkwfwtltVMRo_ntz6)-+JeVn<5
zw=V0kYpYM=IoySW+T$+GMc(W4F9Rc1d}jPus<AbHCWOf9iTjFx&Em)6_YaE8glYbT
zhO3fBYQYaZ1Ynz7>M;w{?#;q;eIsN(_bM*`X#xcQ3cw5l?dK5hp`~Ksd4;o!E{j{S
zSvZpDL^f%ZSpx$iAwJn*N=|^ql|LND#kbb7Zgee~sO)snZ|>==zJ$HyqiU)x_2edp
zws)!Q?;*?Cu(1w#UwgJL*fDRB+p1liK`AXcq=^W|(^;D_Zml)AAbe9J6BcX_L!F%W
zx&^(g4(<q4F3^q`S3aK%2=#kh1dK?>AL{{r8;TV47$zzheLsWyt0WZ{z5tIWN}ml#
z8N7qZ!O1sEJyhxCI_*2^Tk*$NUka*A;v2+;@CYW%m-IN&L<r}4Y!O8?$<EO#^3e`s
z0-E|LmydJg_d?HM&%6NZeBU{%HDI3*MqnTz&5p32FcE{QsYNX8I3PXh8r$~YqGb<D
ze;a8q<=xU|aS5)h{36V-5UhfOb8iJ#zq0naaqyYBsW!bWd$orMr(!@1uzy^5ACktv
zIv%l2<hr?H{538idVxUHK8GTsO?C{ZJkd`Qxg$E#n84?*$#^=?ed;t@vAbr9|AEtD
zp?O$e_6f3c?{DT9()Ay(X9l2&s@<CiKJC&CZ{<|gi{-oQy%(O*mCe@Rz{@6zayiLn
zU2VY_sLO%KM&sO))JPgwHiUtR;g*)@>d$El@C3nqRb6P8Sc-%|5SL>x0Z<pqSW1R3
z;`(C}j1&XOYBz)Gu4+=1mk^hSy;^*jf1`j29boo4ISJP&qSsX2h0JZ1j0|HaHd8Hr
zu2*+{Cb;jX4HYSlZ2mbiqeK}FXw!F^42YlLsoxA4BmCmWAp}2A;^}r65sYpy&GMdP
z6!7{Q04GbWqhS>M``{aA@-#WTeMnUVOlN-hB3uW_JpR-RFo+R1HV+0AF&iWRqUQ~T
zu5|=0AWOy?l0ojJtLI%6Zh?T?Q736(6cgGFFDfv>euFeUI1_}2T|yLoR0+YrVw;lu
z+|W)p7#hR~e4-eAnA+ieDi}HeRA@2+`f}&okd3#{M4b%=@fhfm!uPZcOY}p6Ka9hR
zN+8X18OlU8!;{?d>|1rOAy<VSTVL_r%}kCA_g|MlvaOx{VikSL#@51etX|3~(W8`1
zPoPnA)0`!)nOQ4gUa4UQaN6at2vQpO)p+F5k-?z3?yRPSlY)cZ=H>PYfzu1|x#@B|
z%6=M4XVd3r&gk;>Q8D^rC?XaVEQe<Zs4@gl^{~tRBk*wIpC!ZOW0CYS3=aePGM=q?
zVXd-01Q~y!Bd|99nQk55*&F{}$RyJNh6YXXIy@05sSFQG5zrJQ0$K!(4bcxZF55;`
z!G*d{>Kys#7VG<1x)Uewj_LUeJ_EV7DR*DdiXVS?pERPU{>&~5<8FP4Cj33-xxtdA
zG_Z5gLcT7KQ)uu?iyN2kjN-F?D2#YTQLf1CJ+8^eu$%7b`a@I{SME@52WM{;U!k&G
zR3xu-uO08&SD=#qz2*Q+coGhHVW}%5MRG$Z3}qr=tr_3GtLnbN5F|E+17<mX;Z~b0
zKAp8Ao8n~1LPw%s*F_GAR&M9c>;TCGd4K?7gQNsdlHR0o4eY$p@~YqysC~urPx1@^
zNfXh{ES4xmYeBF9T2K<(?2e^@xT!9;$V-I@MWLW;C6Iptb&jIi!DI`LEtVO7h~0G<
zlFeXY!DMQ8E4%xGe>NVXwARn2z$!ZszE1W042-JluyAD`IjlzbtzfKX>MYcwj3mnC
z)fT`<ay~zlY*lAf{sGoeD#xChdt)uBy2lyq3lIpFYP0`h;b=u6nZQ>TMh)W5ewJA&
z$xX3M#@1?*CDh*6H*G$?4y4;=UHO^`xla<05WLTN59_*(@=EX*+-Q1upj;w&^F(|<
z`uAuQoKgotbI|rX5E6|6;~6z~xRNwT_yu`CZ0R#F!Do&@OwL{8@FVUzGQjq)NeNH+
zHJQ~j2))FR99^4exI_P0h}hb1z3oX2SCX~Z4Rn*%P@OiuG;K!%>i6&iJZQALXr}gT
zcxAz;WyfNu-S+UD{8#6cx(rBo+hG}WsRSP47u^l&5}MwuXwXy>iL(O^zm~vO68Kfe
z0-f<b>9W;qRqeFQ0owkq!Elo{)<CKl@T=Sz(WBI6SF<I7eLJ@6F$RbUui^`xQ{nw8
z>bM4L(cSrDZ{u^GolY`MRY17!=fEhx^paA<XIf+btW6BR57B(8nbECpX<qSH(cqbU
zXH)RPTkl~UZt``xy_>5l^T#XFMh;#9z$w?JQ~J4O>ZzA;bMP*!*;-mI2{9|m#<-Ev
zI=N)P&_iy02@)Fyq&7`KTa$5zh}k9{`x38B|6e7Mcb|U$o4>b3VbRD2+T-JTO(7~O
zNkxZmvpt~8;COf2nq#l7u;5p-$+IU>3E%7Rk9RILSK?>g*DdBP1!+oaeXhiN&v19L
zzHPEwz-`!W46~w3rTW%VUMo9W6D($9$&9`9&94N~?M9nrQu8^?Wg4ZkU@16PB~7>;
zcU4`wuHct*v-TIo#trp#_x&eHQ`skvfj%Hl^5w1%0Gdo|oG&(+)(?_Rb+4n2*^Z<I
zNPo<sDLmT0_MjW^ucEiu{ehPyVVnO$sN(!jpcFIP|G0Ck(cE(SCouPYQ!jrV5LOjM
zpaT&&rhVYZcsXuub#H8$;9)=_a+FEHN|ZW$H}v!ETF9q^D~haY)gcYoA&8h7xL9Jq
zrxo*g{tg*?ym*;-&X^Ya!$~}I{&^%JF~vkDM#enN$uJ{+hxB_!b{Ex&CBLXb>d87L
zmD!A|u~nOXLh7mZ;z878aywP1RsV3ehQ4Gzdiz$($~@0q=C{|})@0iAsH?nvy!>sz
zAokA`*ZWcw2uF*oxyn91EPyY>P_x)O;a%Gig8vXvnxE3UQ~_-qs(L`oXyss8@AUC)
z@=VvP^~X?6x6N)0nb6}gJ?cV`u@1VDf$GxCaUZ?geW*+fxq_x?F_sJ{49XNEXMbBx
zn=qLv=|SWvBs!UjPBqg?6X)_k?DfQ=aN01h&L`5jMe~ul2x(2AUFL{MWC@u{jq`dK
zy;^&Hxb&T6mFvPC&*nv(s;i_7{qfbU<<=?yfYa<nV-rM=S#lS}ll94D&o$eY+wy6p
zGv@E~W$6Q{FJxL-UPvM5G=%yOFS?o9JC%(%HwZ(G!KwCeHw6{{D$poUUIJDrB>%~v
zzs0B)87G!(2s1}iE$LL!OJ@kCAu^64cL){iIP)b23+z<!H8uwKG9>tOX%`<EWm}}e
zt6cFX22sHZ9+7QSKr>Vz*o$R3ILjb1v^-$6Ha?N#6;gfigY96+G=}>pf^ha!gs>^@
zVHmO(&c1|5F&{>%?bTH2>=_<eZ6i&Gfkx+XqUaDMs`*EF;$}O5VKZ->E#xFytb*7Y
z>Z4@CqpeTLxu4a9@*arJ;p9$YUDd=BW1g$4@QWuPg>vr$V7G-OU{3E}@E#^Y?A!pr
z{8qml_P>FS+4XRwOr%0Pkr3?luCo8Y{+TNJ(7VBYFwG^Z(ni`;J-f-;_mDH_FAzTI
z+)vY=iU3T4Rq00E!(e;wZ{T$EDMFai0Oj?&A{^`ISBVb7Of!L>FPJK?u+R^ws#}v(
zKlC}|5~b2>UJsjxzaCtmG|U3`C~?s+AQdUif3i^7KIa|ARL}o@e;&^vBYvq3GL4)_
zlri|RXV%E={+$(fzSoW6P^QE7g`-s`p3phXSNl^d_rr>SlyWS?h3FN8xd5=Tw~srg
zczJ95!~AD`FRa9ILfb??jkK>(T!pjb@P<RV-gT#FS9Zq#&kV8uR&L+GO9+o`U^14s
zKCn5Esqu7>utE&zJrjnH&87N?$)A`^HPN%9vee!u*`3`G!&&E;n*c?RtJH6ZUBLCT
ztUnlDd1D9J4h$-^5+M>BJvUnffo@Pp!r%f<1MN46ZhXQrYp9Un_Y5R>&B5-CM=&)n
zt?D)Y5<JiIqk#V|DW7ki9OjcPL$k#4EA#FPEG-zeWf55#5LdBbCR<@g0<>{}2=GWj
z<e%(x%+m{%{e&JTkY)qaXA;##prYf<n*$`p161}4*c^4o<sA^VLB=-k=Trs#`SQ&^
zQB_5Llz?_yaNOwgP&=KOIj~lk$a>SMY&aFjY^oFWx$wN>&#Sw%+Fe!k@!Rmf+u)EU
zF5~A4FzYigC(O1;`)<^vp`^md&3;?e|Ghu)NjRI~@zQ(FMSt<awN>xAG2Qh68y;A*
zE4;G2^HNO{-TR^!9*y38@1$$Ju`q1#%c!#e`gZsZ#7S13Fx?5O)yeF>v{jex)APdO
z=2=`X7+A4moZ3>|5&Oj^N&V4Xt{7D^te+Pn`K5g1`qXE<q?RyyzcQw2uT}hANIzc>
zM}@pz^nu!5X#QdB`2ov&S_g{z9&G!1x~2pfDwGnm1A9OXRj>DfDZr!>AUohWA-Kvc
zys-r1$&0p=Y?&GWxWow-Sj#iU>YX4E6FNwY_F7UwU<W7Co@_=L;}m(ceMWf<=MZ_u
z0XmW;gy$F}oHyeCh)?zo$rc*jOZNzgP4?YvIEj}DLAm4$r?3>^vi%`=2;0Io#c6{_
zajN^<_$(WtItpqScCw|RRPE%HWqprOWpGo)ML}eNJe)XTqy`8!j^CASBk(XKK@uED
zC@YA(9vmynEGguFl2v~A037gL#it*d&)lwvu-C#x7rJ;OS9&U#6^oqoD%VLY1z}d?
z>g7P!OCI7eT9)lhin0cyjv-UAqDh6{>CfLY9*9Y33~yOT*a7&Vxo^e-aN)XO9q2LP
zF;IAroSO$a1GLZ=X`eG@7r`geDjFa=D`3=|v^vMo8X_#yi0aFUGprpCvkZ9>MMimL
zrRb97i5PdmPSf}JRCoqlmgI^Y3E31gAhJMN%FIerp<GZ@92R(^!kT$kW%a<T3Y%5<
zOUB#WRRvqq8&1kg!DkRPdD)dbWqf=v&F7gefJZhT28m)s<S8&QXios&L=116-t-C(
z$9)}GkFLhBtxcc~J9axTPc5xK^L9vCKg3#;C`6$mSK+aQva)8;X_C-ptgVyz<T>>T
zfhy}j1(N|50gSeGN!!Ffkdy5XL@V_bEe%u2nGcCXzRWL*T4IJ7J5`vi+~wLnN@eXr
zZ-<}s(8hT9Z)7i_bU;mny>3d0vZZS{vPC$~lA(C$&{4Zu4+b4KpiptVr#{w-hegAP
z2hRvzE^f|z_?6yMCRUCCkQ~GM#bEo<2}u<*_<K!_XPay>N%Cvj;1r9~@Br%oOEU>G
z=Ke(bnfnqeSMd(J6-05L9L)lP6al(rf9(qx7+`vgg&0VXGGY;&YkH8C&84~MOR7bv
zykSQ6zU}7iWrn$k?{rNEDs*+oP1D>(9_o`|C;UKEQ+$?hT%Q;|Yu3-<NMw<{r}j~q
z4x5<5@MmJjb}7rZ`=&rCfDY~fX@JMY`h+Ebk9Slm6SK*dU>d$b2}={w9FXyg&h;CD
zrD5f7{;D<VL~(mtvGy_*_sjzxl*ipKpv-syM7oA&v?PeFFADa8<3bxp2~ote0`z6N
zKl1MUbLXWl(G7tU-8o|!QG^CZdZ1E$YX$oah<)`qe}tgR^%zUzb?w$gM>&`xrVHw+
zl)SUli6f!bvcSM+!-TpEqar)Iht>Y|Zxfafp^McG8m_r3XwuNa5rv14GQdFOkq}7O
zFHk&u1`00=3WE;>kGF?)=xaQf!IZ&B6-XQu9hP?Y_YI{NKFFK0KPVTiD2YI$Oi>Sd
z_H3Q}5BMeqpyhv$V{D8Z|5qpa|GQKF(d_^AK+%g?+PIiH5zvd-7`m8>m>S!gm_qUK
zK{>lPnHt(cd2E(w%KoqWWO}~T?~e;Ai6Hbr#<#N@l4Ow9Ol;TeR?JQXr2kO>qE?cV
z70JKfES-XxiI`g(9S{OVfI#PKb=U}TcEor++=m4|&aTZK)Jqh`83|;aosl8UG$%w%
z75~KUg{se_Kf&ZaU8YSPi$rpX-dRB+23cciTczc8y23qus>~UqIo6fk)R$EBlHZ>0
zx@b38C>z&vRq*uyc#-7~Rre{;?&1sRDmq8^c3ZQjY<|31We<aE_vWhTdi_2<c6Q-%
z1K<t&+hBiLW^FF7o;G+Sjae(Bt_uunuCwYHG-h=AEyrWr>>OIm)y03gkqm2uC`%W|
zF{X+c7o41*Pvr4x^5Mn)(NhcT%iAJ}rj}qWOr1QRYs;F{L&*~kRCYAJilI*%>?-<V
z&NZ4wi+@#rex^iwtb0F;oa^@cWB=?iQ}NF!;WiQQlpgZv`_cS^-4v=1m%w#V!#mkK
zj*S>t%5~ejYpPN|?JvWqa;&)-s9D+URP%Q%MHE4ET8gCnc##>W35?WfaVb~W3+jY`
zDTKY1n_CLUmT+(3wAkSA<0Y?u_Jul3-!e1FRak0Wf3Q89o`Y9OXxX+lw&xc5p)6bH
z5y`gLZfE81&Xb13AFWs^;H*8XPy06g5e0iapxJ!uTcw!D5aHV!;0+k>@cibUdhO>b
zJs8-c>AQ9+9e%cz@s8F6JeY#zQ>QeE4!v~KNQzT}RxO)?gL`c)F~9Pcf=sucr#x62
zlmtqadxB<4$q;E2gQ1K@fJcrf0m+*W^@<NE<-uzb%A{{}b*b)J74!{odvLX2w9oH^
z^WNU)ON<l7S#V*0t7g>Ki|yhL6_H<sVR<|N!R=#r`8_m#ndLkH7KMM66TjsncgsX@
zj>kxLodqq5poQ2ws8@oa&3d4NHc`2do)Ob|Vcj@AksuHm@>ySnEKUKM?rayr5(GDI
zYqfE>_nf<aVBB^?S<ZQ1p~P_eRFUT;S(R5``#B!&b#?~SeMW>eu29tXr)+~4xz!i6
zda8BN=q%)o)EiY|4Z{^D>cpsA>02PpOAL$P9VgoG#z>p{LLA6DcJ{uef>M;=5&U{I
z0CX?|TnIUy1T6pu#=tS~sHxfy3kGAG3$7ep6v;x*6U88Drm-I62csK-Vh_rsVqn(g
zasykNF{Q5od$+8MXFDqp_LPRvV<xF%XcGfqZ>DyvR0$ycU^C19IkOWA*|Wy0uMJ^!
z$yJhFU9~+Li<$vRhTBC}G1xi>pS0lZFd5)8QH;U}bEu^wpt&<8MyWB>4C?QjSa{RR
z8usMvgG2k2_sb8k_r;XA?Uc!e`@@e*GVnO?u-g}DBKJBbT^&RyzPJ7Kfqd8S9@_TG
z2=Xk*Y+hM(uUy_+<BhD)h5%fQ#}Ik-hscy&^UUN0bKnNO%9X#vn(tVD=sxvR5DkT+
z59p7<>q`<6&up$q$E1-;J9dLJ_9^up=t=@SCV9mAQ;-O#UzGUpkP375GUFe}L&_8$
zzI5dQ3eK_>$0(tLjIDk<YkLmc2zpGO^q%753f}myy1z<F>?R`w+CTMJ>ngm2bhom3
zj8fA%`dq<3O%(+X1ze-{=b;M-$IB3)^2XUC2n`BkWAAl35+4~*k?2c$()dQ9ahOZ9
zye&dy-h-kPjhq6AfRAVM0*SzHFAFI2k~v`{LR`(|$zbaX@EK|o#m+^a&=)G%mG-p=
z^NP3yv{FmHT-vlhUQ8U&c4sp}E$~3xn}*3lNOU`*itTlfVPZHhclVzS?-^mat+m&h
z1>FW-QzCJhcY|R>@?I?w&Dtl@a0|(w5S#39RDH>M2_G}zE<)mp&85qIrl(--z%K>j
zIzhlc5Y0j`WxN}AQbUK%Zz+!h#-L#K+cnO)#Cy7T1l!XZwglRL5$8zf0;cxbyc{m@
z1F12CrQt0rA_9HxS|svhq(=Z3BA1bK`lC<pqeaNC1xzVJd^{aUuap4|Z-8c3Feqh4
z3r0ImPsx|02Z_}~kSG|tj=AQsA^ucwxR$UxA>=kaQ1CYIg)<>+2Cyo8w7?}GM(g%i
zOQHsxl)H_y@oew6mvv00u*^~2IU(s8gTNZ=>a`4|Q^x4!9uU!z*=YEgpcLQ6^90}X
z&>(X(dy5vr3*Px+{8A<#+|wZPppXkbAkkz8W3zI${I$%k`TU|J-scf3Xhu7{*@w)#
z2W!2{rz)LpB|SDa?kLT*7j1*9heW=)>6_-h!*?!m^+{tF_0#RF(9WJnZ+KKBs}?!k
zfM+t~6{&Ff76Se&phh|hUf$;(y2nT+dcwL(q4Q+23LUJM`Ep1%BsAv0rj-cC5e_NY
zknLd(*d`^5HgNI>6N3BqxPVlZMph|X>d9gG6_b3L<S3GNni@f76JfiVv|TWZ2a#%w
z<QG7qOah=WI^Sn-)E2o9+Q~_TkAui17I)$G55(hsghKF^_L+qbG^AKOUMG3PJg;Dt
zyF5aHx7^3xehpt;zdP2W25L8sl*>Y7R-Tc7BQFspo{i2LivAPjHx)yOrz4eNB6>p)
zP6-l%$X$uVPoED^gO4w8g+(c07;l=e!)&qKtH95Od^Y<JQgN(ky8uD}6NH#$sl8Dq
z=B4>oD$~e}+c|8Capp-koo>pRZ2W5+7>E7)yr%_nbMYnpDA>8dnf`%YmRFl-j0bBm
zDUJlZh9_f=@HX3rn=Vbl*?#;lFEUWAJvwp!@;FgIpBq=4LcATU;g65H8|b4Bdg460
zUCtgV>nYSbs*DWzy33`j05hKhQ5H*P+-g24T<+%R>LQACGunU_froapbvNhxsK58c
zdRRX1x`J`_11Lsi+1g}y7LI-1GuH9f7rHt>4sF?m(czTvRN(nrlnSHJ2YT;S0&0Q(
z2ZxtDPlX-!VMIx=$TGJ((yjn<#Fl864Gt!;U}HveVf{2u`)(j=4X$Rx9PrJYh9dOC
z^cM*}O5*dG9cDf4IP0D0BMEE3>btMf{#S87xL9N#QMY^)A@sj5tukW{XjpWO>L3)D
zSV}InXR6FtzJ!K+X@xvU28>$Lmp_a^`8RfoD(=yLh*d2A>6$)9j{kXesG;e6#D?UT
zr(Zyhu4<~-?(s46uwId&ORC(eT(KjG$ALmqAe5kmm+NshXOEu`m(@tF$&Vr64h%Gp
z-+Nn{UQK57c*N~k`1jyv=Uc2KiDudeRsI&AECWWFklYa~ToWwu<k<P%vT~8Y{)Z!P
zHYQ<U3_%<4hSS|nhdXD&fHx&@L=G6&{>$Fp8`*1MrE_$p_wzuPLmOr)+p(!!TKmNF
zh?Y-Q89BtSQQ!7ptS?f6qJX7&F}fDNOcCeUG|#<OtKnm@Mbwyks%X~s`uXiE4jEV8
z3`wq*iSKmOt-b^E+79xJ(GrDc8P@GE|E8}xvvcn;F`x1hDh{xZQB`t&ttYR+)+2PV
zwZ>NXJLf|-8%L);QL%gxqc+daWg#ucdm1}!>8Fw9eW3P99J~*Qk^_9ot_*S8*1BN=
z`&+--^M?3L5;?pACzbE4XUbk_Nv!|Mh=?4v6OX%%zc*{zrCKO~w=0r0r)H}a{pq98
z&2XpsR4GKM*oZDfs#(S)0v(^Kq=+N-`|*fi2>;;ag)p~s6m?xt<AMbi0-Q@WD72|q
z<Lluj|6QZ5s<n!m|J(fBJon+<oE{$`xY9Tz#$zagfywMFw$n*>r#?#*$;EmqC(9BE
z+;=TWT_P1M?{PA<y7%hy1lj$m@^ZiyqCNvDOpU)&$0={;@VE1V&LB?;gdb4n3Th{|
z$aME)8#rAN8o;Kjo63SN`g7I&Q8xCg<Q8dv`SWM;Gk3cE#>&PNA^J%$VYpthM6ABp
z6$c9ymL2%5f(chg4b@G>VZ(<of9+oGqB{8Rf+jlt>;e@eU%-*h8u2J<dng{-<lVQk
zqlXL1Hqhi#X}@~QtMlDjDtDjCEh1{GrEWNcr;+F1{wg{Q1?#rSs-%ct8RgY>IdGmA
zpkv9(!w%~#Ok8Okz_z^*BDf-!L;!3LhyscHKs3VF9D9RyEI*LpP&l6GIMmNys1DQZ
z$)tAD%-w-k;m~EX2s(f~(m1KNa9UgiEF#!nT6zUUKrKMq{kR|sFwCvF^?J-gtj$Ga
zifV0I&(bP9nj?2`(dD-q_Skpv1HCvucMv_QsQ~w7!0!8X{$I#(4KD#vGMPMPWMKl{
zpnz4f_ho>Cup&B)GW;zfDFnm%U-$^SBFe^t_r<nc-epR92?t-avLV9S%S(2`87F^E
zssZjRo2T?NT6oOQ`GL1?6DIx6U#(t>MU<|rrg}Xc4w!1x&kAe$^<$?l+MNR&pRM&q
z_xru5F5Bp(1aTAvjE?LyKZB6D!}M7Pml=<k!Hvoy*)j((ySCV^;~8XlEdpNi2_oZ&
z`in)_ECs=Z1}ykOOYM;-R>JGkCY<&=NW=?uyU(C;HKbBSv83N6WcklXU@b%+dPKKx
z7yiCC8Q^C*mMYd$&>CAVt;cLpW0YX0VhkH}&xE(WKG5bO_Fm!41w=yFt+?Kv;$!i#
z<ZpmKb*rs)YP;{V*gGLMM+X#PF5t4Y=uPyV)@eLGse=}ypsf(xm^K~?*MU}=ha5S8
z`Eo@R1od!Dqe`SsjiP5(5un%GK}MJ`cU<bJ+cSuzqCX|gJbE8%(Hf)Use;PtsyjB1
zNO#<UUt#;cv#Y)>Agu*<fqqUY_{;ZC=gkWs(!lJ(<yd&6BDW#>qPnhd-%#X9Q1H_<
zM>TN}g}zj)u9Ej!ys-k%i`6u-ub!(@vcm-u?%f0@8ns{_Dps%G?o2v_*K#B#T4fvG
zhFg3!3_yZpN#iml_8>$AdZ?szfU1@w$>p3IV~l{P+~zcUfT*VKyYHje{8Lkk&G(Q^
zCkLv#$*l5RV8m4L0~pL0iqq4O%oNl^vv^_U_y*%#5tUaDEckl7q11%{<IST2D9{xC
zZo3;L#|X)ANscY@qmoVeXW_-me>`#A42eGcJ9#1(J*inmrZ7b;5&K!;aU<uXu<$b3
z4f08jt;xJdnXJa&5Wu*YL4a|PVd|aN;K|zbUas=Fj?BUlnBK(L{d&wH1X0hD5MXw<
z5*PL36;&{kA)mz3_5hOtPpght{&@*@3IB{rUXhMr=0zKY12NI@F4v=^nxh!S0wOh3
zjVhIFDZvbKiq2pkaoAR1U4IYGZf*ZT$K#3-aVvz0c@e}MXGAddFMvsw!hJwy(9H~O
zNF8%0>dR<z^dM5kqXiFDk$hyI6x^yS-wpOAtIk+ob0^?9dSDF;UY)A#Uf>tPW6lr3
z1OTlB<#BmNJLP}g9hg>E%P%niLh8DX_I&`2I?V^_FjyeXVtZZKsG}(i2{6&t2Y2Oz
z^$hH?O+t^~Byfp|@MWSU0K8ULC{)BTh9yR1u?yZqG+6O%-qsMiv%ty}%*eQ|AEr2{
z!7{a|TGtzrgybBuRD9ow4+;|R#d~<w$3tS4@;5AYPmcN_GS7M1AV&4Ye)N;5Y~kx2
zqKNuslVdHu2vEM)GHI58$p`Vfp*LC<OdQFh#wm#+Y8Owhh~X1ESWmOr2oO-vZKdU`
zvju-^$ZnFPSePmd6A2F0nF~&ihXjIhrYLtB4|TR5#d$i<?DT>~-V_M6NIdAIFQbB!
zqNCYI*X<It5RZ2ddcB5{XY%<aD$Ednn-hT{y#18_bTTYJ2zU%&LnYmdCCUi-D*rUw
zHF>7Q5H)5HLJ?{BKqH-~(qJU-vme;w30GlG=91nOf=JXuxk^(3TZ2Af^)*@;@D2)s
z^n>!e_OwEO7ZBNFp9jnJmE&xA1P#Y3BszO`1rJs1H63xRlvk#*y8tGqg;<Gg(vwD2
zyOJxOhQu*_^MUV$ceq|a7`bKW{^)!yQBPz+nXvxDi|Ds_M-=4?__O+T*V+#-{E0rF
zVQl_~@o)cxRHo-vqEwWIaAsOgga$I^6hjz^FW5El-!TW*Yz^JLzAt?9t6_xy9&T7!
z8UL@D(f^a9=lDMyJu55I|8%Cb^S?QIzrG;+B={*(^Dvx71RxH{9WaZ)eyPCLKZfIr
zBMHQNknU$%KX1Nf?swmb%3Uk90m883Q#;s+LkAA0o)Tn{bnPU^BKHRBP<V$#$hi}u
zGai-1Ocj?D!Ze^`g1U#t9HMDXE{Rt}4eizCX-QRxb0T!3!xZ(b5m+7V6s!l(o#PvR
zLinKzl9PXgM64|WjVj)Q>^RdzrA8EyDDvM60YR6G6A6G_%fXtH6nmmv0W+*toI_Lp
zEww76>sq+r*b+=qm}ruqj-fD^j3|tc0&$WpDMTBaeJ3mCK!*j3acbV3r>}%5PdHYb
zOIIZY_$i^1lXOau_7{Q}qhgS&BCC-{F_JcuvKFSUz<@@fT1c9e8zl*>oEVtFC=|I=
z3NR*BMWVm5jzJ7y>5{diZkU!@^c4YIm1XLt8t9^+3}eAiq#Fp-3`YU!$#mf`*k&MU
ziPgkVN;w2orw`x|s$(2cU9t##z&ueltPG+v>PBR5PMfSNwp>+l)r6c<b|49B9AoG(
zsur~We~kTOk7&`hwGEeT+qPY+yvnw1+qP}nwr$(CZ9VILlarj}?7Z1OV15`gBk66l
zwB9aipx+54t@8{~b`kxJC>x34p_4H?{6&PoDi}#44zv?AiGB;zjY1FM{0pMO%nE}P
zzbG_I&Q6Uv9;-m0F3Q2Y=D#p-9;*@WLCrW%4gP}ya!8l7n&VLxKll_%XRx<0RwsJY
z>7D%%6y{9LRew<}W%tkDLXmiQ6zVbkwT6~9rSgojO)0PnH&`Gq{=&H0yR?|~y3QhF
zLEofX{{F=J8oc#@WIEoT99O!sv(uyPdOhMBQ@#U$;}cVpx(95Fju&V@9x^uA@!I~y
zB*l&}#baknxEgFTp)`tRcu24M2Y=qJVn1y~Pn8_?PR6Hq={z<$F7y39+`f_h2c+Cy
z7`_=S@b1vL-daz$%pFKJL-4fdFSZ4gZsoICNj;s+_KbPy@x9o{O>yORox3ZAZ<V|}
zdv*W>Rp~soXdN!N$<Sz;P1$_zoIZBg1WmhH)J;`gMc=Kt-E#cYg9ffV1MO&E%d45T
zqklDO)+j7LodK#jHvnw)B*V(#@uDC6BuIU6=-#JUdb#D|0e8RN?ZuE-y)F25>2BAs
z;ldq^e3`w5zjk%=H|(vG*B-zzN(9su_IovBl7E`_(n%DZ@mqWEROMz_|2g(}*8DuW
zs=Cbcc4+U^soi*dv7Pm)>#g<KzP4%gHQRi>-TlnGT<+{-XIQ^D7}2fSZAtAG->iH-
zww;uAbo~BU-To~8-gRn-hSbukP06fAZC%wwwyjC|)!3=B-PL$Ea1MUm%zOs-{Kg9O
zUUMTh=E$YB@PAYXqu4=nlTk|y|M>-z8u<1D_I#sY(!Pt*if}tue)7e?TmIOnWv|`D
z;5n#n0SxaHFsOBt#=A*;7;H|a(OGVwZep8ad?Q{crmvS;P)REi*%9af_{+~9ySNQ;
zHllh&D$zfP0Vd-`Sz1V5@4@DUK1AHF|FTRhSd!+Q#qmtK2bmXd(8N&lhY2Z8iqS%)
z7NX+>1O#QU;tw{GP!2*yjSWN*PO~EVA^6z1aX^RGGH@f|A<?A|O!mOK<G%UDf$k?5
zb4oKH4O4V|Po8ttk4?ua5VS|&%TPWrZGakqzl^-`o~P`XKMss;KRZ<ae1$y_jB&^v
z=xiPs$<a(Ay6^}j+`N0hJnkL?O-P{V8WBvf%%XC5gGexD0Gj^CJ@`P_7C3=ai`(PZ
z1?J7<J@OVh*H&p%c@gp5EAu)Y@kxd^FIZ*lI8+F$4AM-I9+aU`KQY4oXt>5tqCFMF
zU8{Vod;`FQUVfnwCvih`Bf8Kw(P0&T`&)fMDcq&y8*UZ-aef_M&wBqISD)i{FFZp}
z&^~79EwC4Tpcn4ZBtNi(?kpSX$E!bB5|5W`;$9B{2+1ZbK#xSrdEMwIM5En!_&$qS
zXLLL#JE4SPu%e=g-vuu#;mM3PzLYecyfR=L+GaC>pVj8}dS-HegR@0S#Cl#NOBL()
zm$EpYueMNCJtXs*iykP*u%tM1eSoMEhkxt33BqBv)i3nFu)jgZz>>R=!2;I9rfQ}f
zaPJZ1jh~c~6}Kb*HaHqHrVDUAV8hZF=Zu~dCBR1g=F~IJ8e{|Q-94lkg#yny7%dIO
zGqN2lv_yh9)_`+CQzkpCzdmai$Rg}GLy@%sGT_0Q2^&oM+0)X{L4CAy_@BYHtcF?6
zS%E4b(Lm&SmA*%U2%f)+Cios10l;Uwvp+m}ztCiAR^b6Eb1;2aHgf(-5Cl^$Ly$Id
zO<6fTp!bw|+r%=#Fx;9Fta{1(N(R|E8Ui30Yhp25AY?X96EO&CFQPLJdrHi9XobG$
zDP;^l=ZUs|NvDB71BI1A2Hz;Cu%76gc^W^YT=w|)SX~0xBwqgXI0>)F5RHy)d)C<t
zr$oM=wz**bsTL3&N7|?!U0YyW_k?4M2^#^jDsXCmp%{H21#UoY24~7!V8-IMzQUaN
z$qspC;<>!*Hf3;`S>rpr^Nx!Y;@$b38FbY9J18(Agoyy00Dksl1~X=W&yHhRm<QB6
zt{8VD3YXMLJV<f09z%`NRyG!H4n6I~h{aMD5omp?hZ-(nzH3Ea^FdO!oOb~e1QeNk
zy%5N6S|8{>)KQ*iW}`jNp9kX^@U`|F3PfKQi2+l)*PcaC*FPn-aW~09NC>5P3hL=%
z-*>}Y7s-oNFqUFciM1sK^TZiQeKm_qftvTma@jvv1?33jCmO(s!z+B4`G~{oCCH5c
zCs<@YR~?uN%+1yJhPfsmRbd^Lz^qjTmLwP#XSye52h>>}1fV&b$LLgj-sCil^NEEQ
ziH{2;h-Q)J2?yJ~#JMIP+hS0j-MTR^lka7);Q&>#?2lb6=S9nd&+hRIT_6COmr6+u
zO$Pc9#p!IPcMD+0GD|ok!4Xaq5t?CQ2gsmGFVC%7r>R^=NzL2S0dV2sZ%w27q2)50
zN|Sa@p{{437hzxUx&_Kj=DC|bFTd`26M&o8eM`5-s1Br6VZXI@lP@JIBJ`56aIQcm
z-diX&0AD2KqFi6fG^hw>!J?JWNFDL*m?zBhMF&ipz!47Q-32`ShkS}pFYxcp4gYc6
zsdmg&ILC29iFOl2-Mpa|l)})*i$|yVPIqwahZ0f)GX#;o@_~P8w0=yaV7q2)(lyE?
z9TeeHT~5ml*xI5#e2)+=)#FvaWBE0G>n41y^ypsVhy*g+o?mJ8G_OZv5w2wxXm@?d
zg3YyqqPd>T*D%F&&=IbP^#%M{bUdgso~di6rcZwjm-OmuohFSPO}c4onjt}_K-dx)
z&XOPF!7&IQ|3|Ff_2;z#AVC39qZRrlD0xvq^fq5clRix6uoB!}boqx7``jsjEyzR5
zc0pK?eDOsph1gMVVV*BA#C6yD{}q~S?EfJv#>m0^UxOX5)&BKUup#uEs-7L?n-D?3
z2atF*Dsq=2&la_irxt;S1Q@fSlt1XlUh?f~(}+nz(UK>+lw`jYfV!v>_<g(F19~-N
z-Hl(Oe?hu?JsbE?C5G#hCCndPco=|4wxtP+4@Ch^8$2+&>29)QPLQ<KKTn?1B-!7k
z#Pb;H+*edyHa%s(E|S2w@WP4Vlx{Oj$ac>v#d#um9b`z(5XTK@>MB<{ua;QrB%AwJ
zP?%Mo!(>$!5T;&Ml#F!L{2A19Z!hxEIq1^VEM2$yxLjTr7D-I^JC+c#9F(_5K+UHg
z<51hz?I@UD4JMV0Pi3nf*BHFZL+f`iV}*rzNYD!9Lw|9BLaqy5U5r9U8`1FCZPJ=c
z6WP$npulXX=^3seb%eU?v3&^HhdL>h??R+UC7pvK%&_4!RsIKuGwn9EY;Ou=Fmaa7
z<x+QASBl)T_uK~m9*Vh^_Q)JODG1daCk-hu|HnZ(x9S(gm^MOsUUcVVG6YcJ;Gke+
z3)9npl@t^Xf&kxQ)dxyj6~Z91VFnoUA|higz{Ezc)s^}qxaV$n*wUyiWR*z4;ne%M
zuL>SX<;r{FQ|ZyZPuS*2n24n1k-4cti4sX1OC+L*!V?oEP6Ri@69oCu9!-uLV!}<u
z4OtT81R1hW49^B97q%xIQP$ylX4Z8+_L<{x?nv>(8RXmP<?Al~7hTgz3(tKT%T5cK
zhq?32Vl!@s6qSue*b`J>v}nLbhwfp+<X<l<pMAa-o{_Z>)mTxzmgPgTBqi#&o-um+
zVAd_%Ib(zap&(i$AQCW*DHPN+Xu%@eivN-TYbW7kyR|Kq63v#1|H)~C`K68VWD3j1
zH8n=r*qR5-5)({%R4!n%hm+jAV%`dIUWrjOA#L7`O#v0!y-?K<ULJKZ!WknFZorxz
z0$e_0E^rs7p9dYsKl}V~c2!Fp&%D|PCL@2T=jF1e!Ls7&gW9a%=KpuV{B)ROUZ|Li
z&*hHlyu3JQRD4V@fFY+~$$@6no}x<tAc$j!^v#fuo|i%V%n?D#n{T@;Midi-^ClM?
zq=R1wlPknD+_-TuhhXYUJFFiiI|=X)P&{_?$V39!Il{C<@_rhj{vbqRJ+uo-hCpNB
zslq#nw3rtIrN*$#9m1pCAo*vQzlm!+Bq#I(X59vaO_(qrffTHG#bi$u!6Sg-tt}K+
z-K+76@REccY5^BR#Qr#$U+|LE$<o*r@oU6)oX>KzTCepvxCtkzbhO)SM{YhJhu+A!
zKBDaV(Vn8pYT`q*@sUik9|kZl(FQOwz&@gtW#Vc@A9p>rH;tJUc5xaf>b^tNxO~8@
z$c*_1-^+32-P*#tP6Lv@1BVGw9teWB!%1E|d+@wm!A4Ywn{8`A>3dW;rCE}g=SSeO
zXAJqsTr599V8ejnl6h{DwOocI{s@(Qt-LEnzFdJ9X7=36YV}(g3&oMVXYob(JheR0
z#W$5rA$9Gsrpl0r@aQd5UG{oi3?y<>1%#uPVw|BQX2eE!Q>~a}hTI_o-5d&phZbcd
zb`CWNiNKK{U6<93sVGXT`st@J?1k(kNXeayVM9=T9q1;Edv;}Rh76GyarKNz!4n|%
zUwSVMV#!x%bT#qf1!=aBqGa{`VjNuU`l5oAZflvKvTnBIGL)c+8n!|*7=BJ=$RT?A
z@>U6Vp7Ngl_bCYZ8~#F|s$oKzH5ix>5euo^wd@!#<T0Tv-5kO-VBl=wM6{{6ddVJ?
zg5&a%XKN2^uJP3pMH)p#f?&}lz5Fnw;7K)y92hDsjBsd%ow<>^eW0|LD5=WMq(SEM
zi4$=WrM0kG!`u+~HH<c3a?U!>x}){V7+z!6;lw5M<-SV-<}-_@v0S<-Cy$+-+%Aln
zGc2Q?lw%ZcunrT;g}vkn4}7TOK8`=Q`AWN};?KS$zwhGdbhcsf#n-UBKEp(91|+gL
z_ff`oGc~<=n!$Xo)2UnBIgAat%xZD3-a=jTJKMhN4@mvsC#c{gbd>=+QGXWsE=c8d
z8J?|x!Jp7;{MQ5C!-nn@M79cNObvwzoQr_jDw~IVC%#^1JY@FgfLo%`8$B0}crCIH
zsa{{1Slo3MI1_-sYcRhQ7Ff{!2n2z72nWE-B^z6BD`x(l{g4Cq1Xk7bG}}0ggR$B_
zse(;@B07<0q|fn)I)Z~^`XbMwV)L-i!<*!_cj_TeFyKyJZ^W}TE!!=Mw22qu{2|$*
z-(kGyj7=kX0Tf*xANhoRX{@NR-cL+G2_hu$mQVRC73*rtyI<>VZgFE)Pn@ymwCa=Q
z(pDGipTb^=Q{q+hIp}u?Rp;}D<-ExQ{2pj|DroXVgiIGtI3;>=L*6fpjYb??K_&zW
zc=wB6Q`H@){%G*r-_xR`VqdTW=4$&Qw#9|-T#<raBZPIO`Td}KPPrUkj^qOzh&r(R
z5A&Ck?SC0P{}T>kV*Ib?Z?>AI<G)f%pV!*G#L$dzf-MLjpYyevO!1QQqqRSaoQW^~
zDSDBtB2--*({Ho6+B6iJbl&361OT1TNNe9Oe{;4-c-(#aaxrD;;L&=;GC5A7SjLZ?
z4?r5VNJg+uaO70RQ=huh#4~+*hks4T9-nTut!mmO=+(1u4)PXdMYxgA9oW##nUxr5
zReJ`NQ9NhOcuYus!Dri!v<4}NE_=1rcM)23JqxP6meE<Z-+Z>GPVC}P5o<D2$c9}u
z+1v(tC#B~{vyG!iuf09lC#5u$grBu_XH0!{e58`ZPk`v?ako)iQlxn^sR7x$M;K*W
zMKt>?y(Nz>^K}a3L?;`_$|D<PVes4EhL2*GC>@5g8uG60z9M^YQ@-bBm=I+On<Qp?
z;0`re%j(jNk!)csIEWS)$Gx#CdbE<a8@7NN&3Z$zr$*VYwhs-Nn^?ODaLi_VBpCa*
z-Ev%!McJY@xBY|D+(Hm&6xS&N{=%Sv5K|W`5D$0DyU&3EM3WPlBU*EC`ufIs0a9ky
z%qw~KUdNzCDl0aWbgM)B>xX(TKu%9cdF*<`CTxR~<?7^l^B_2IY?{KnLoReIQOcoV
z2iN^M8iz{5N1jP)9B(D)5GQd&yVWH9M;}NB=t`j@z{Mx!kKLDX=lN<{C9wmZ44M=>
zr}7A=PjxGIp0Dv(5}{jE3@H?&$Eb$96BO<vzHC~z^1^KbWaA}jKU_g>)otBDzQ&#a
zk?k7fbD|*uPYXDz;K%P*XaDLCR!_<4lO5V4=b-GEaXm6>^FCBH_S=<3mUFwn0}OB#
z(F6k*ddq!twpV3?_XFGDr1LrjrnO7Cq(m_vE=r&mU^E=L0%>xGi}+wfX@n3tce7x8
zF>|+--<%ylB+U&ZZuRPKpXwh56`HI+a}Hsq&2`J(CtLkuJxlXms`@7D@+_+WimiTl
zLXJd^&|syN$#`K~m=*8S+lsEbp%NB}igw?yD%hKi`a6()gy<^v;ccP}^~po~$=W>%
zKontP_H6==Px8@Xy+Mq`8@zYg3)iCq1Xfx=A*ir{V?YdIJO*Ul7#$~I0m?kUU45QF
zV5ck+K1#k8Zf&sks?3gRMhe1q?IQNJ<*i$jSt0PW?WcRQ2Z_j5gg{W$0m<JUbv)1o
zB+(A-!{mufF$^Km7IyH;<%t%9Z~?10a&7sf?pEOi*d9J8JAp5vBNTVPyDQ(r3s1>G
z>_oU9w?Zz`Ni%w6yJ)*@{ce*)(jVEzthLP9K6$F{fhiGc?N>~`0KS1jAhHPb-2_%t
zB}Qc8lMMy{(=TwKubIFfmd_9A-X3<&QFW;n&cgU83-r`v28iWY?Y{9mSTUqlkz7~`
zRBv4qQd3JPBXi;;_NRSH^fRZ)Sl7jJE!{ZI?Vbuapa<?4Oplufbwn0)3z|9#7sp;y
zzBbHz9=OtTV0-ZX6|zd4IPLI*v~MQad5WUm)cc!lZ$dO&Tf>>Y`a3lo*C(=<AjpC@
zcbYkD8bJXwAoy7|i@S7fw{{O5i6zHoHUZ$E;U<IYNE19hafBHSGL(Z~f~pe0k;FTS
z3IE{D5{KArn~uHn$>G|3flWC}zQehEm!;k;Py}<-TAnDvzV-M#l&dG}y7$d{UNL{K
zQZ&?wQ0>rdf=s|O9MIFuRz56rF{hgA?@M}^0;klr562ZyRElv}kW9(ya6>4JAGClg
zzyVudZB?w9d&HSfSZ<-8Z6_^S1>v|5uh(g50Ob%#iux;t+$L=y^wG!8hN!dL607Vk
zyfNtVL<Cax6zwEaXXy6q^;tT-a65R=7K`>+Rf-Y}0vuUC>pBm<bxhHs!P#8}2ficR
z+ESseq2wYW^m4G_@)A4g5Q3G<g*|@Otk4|H-#<hP?qLcd$A{v3A%s=1%6h^Uh=F=u
zz#a*<t<||VDj#*I&!!H7nT$b9iO3gv-`Hmsu5T@rDmibVEM7V4*(0>%_LJiB&-q;}
z@0A>hNFTwWMAxcALQ0V5LjE1>ok^bv6F|g%a5q>$e~=h(Mn_D%9t<bJZzmZr3BU}`
zA(OHOC>m6LW>lxqB0_zr2E>P9cAMFwh&Jz$mKp%lLLpv=x`a;#fO7`Zyul1zR6PMN
z(?Uo;&`=bb3MwGWrB|mb4^BpEiHglNbwvzi(*P{w3%4ta;W5xM9yqJ0cLPtzBk-pi
zzM3Px@-v%XLLDG<L@us$OkRQ?L<Qb~PkbET2ip~r<nv-&VIC5V5*jvRmjw4ndIn$s
zQ8#`uqU$xWCozp-QEK-;MJd!H5r_qD+Q?2gX<J3^zBVyUUa@6)E_(eohh+hdu;tYG
znttm%${g~AGMU&e$T!o?t{(GG#to&PW(A4d5)W`*ugjkc+HZR0Lr+Topz_C7KWFlx
znthhYg34#oFCkp0dujrM{X%Cw##l~D(COAU0FU|s^W854TEXJ^jjXVFB`RP=jS=lT
zp4Dt}NgOQ=SxP!HBEgw|d#cl(M=BQO-h!CpcGhUO!qZGRFodJpcSc#OU_!yHJ<W~w
z`@)-1wus&b9m<3q9+M3{rEu&{_;jZd5><8X*q*B91LYp#;AQ9=5W*-dOQB%Rl22-r
zrq8(UA9D=dcNXX<Wd2g%3gY8tQio3~69lzIA?2Q9_cI+loR9bl(_$8&HPGEDjy!NC
zNt8JWlkMsN#PZJ}!!t`+axS+KQVsL!-RYwBy7$Ck;wYNRIFJW5A2eI2hBRIoy82n5
z%K~>mEEAcXlf={~F%qxw9|?J1Yg#Re6P1X?+f4jJhG12kMUGbi9k;V`ukuo2j~!UM
zYf6>DX33YO0uKxI8ZBiugkZ74n@&}=fe&{Vd9|&`yzgPsftDh&Y4d!52L{Cl`!Yz!
z5$Ej1ixh)5VYNGY_K>tGMpotp2g^$d=yO{S+)b-OQ6Mq_k42Rvn#jIgJ?#DR`wYMS
zU+u%r^dGzjCg%U%d&vHO-UA0x&!_5HQgH<h1bhMkZzwId%K?Wyn;|E6=oF3_R7zcn
z7%ct^#rxxCG??+c&_6_4B}iW9JyB0>C*U8AsJF9kK;IIc_CIMoiQ^Q;<}`=%&({>F
zH2Vf9<cyMvaZ{qZ0hKQ!XrYJV7{mRPgG^8|7|p(?i0I}8`6yOjqtC-n+EuTkl4(*T
zQYU{qtW=}7t6-j%dFn2uH;tlcp)Gb(P?aMZ%0}WLq`LbHXfA3(TdOuLXaYPNtIa2N
z(25YG2JpVJeDcwc8}f>OO;k-J2iQr{`(b>1@gugZf&U=lhsy`=LQ<>V!v9-JLxo0W
z&45UgE@Am`ph?U#XM3J^;-aUet{hgfBjZS2R3gV&sT9U3t;ctHBl(Mr`a0Teak){Y
zQb$KxxR)UBKGn6CNPAL})-_$xJZ%p-Ips7my7Trp!$I9++Vkge;!@__Caa8~G1)f9
z{kxa@+sd44TeP<G%*nRw&7g6kO?hj5(B^G>K!3N;#x;U1v@ZTmwk|zL90TWfCYZ@R
zkQP<R1azzoUlJE1frT{r5$1GVMkS<)n!d)$-ZT=l*-9V#GSB%)l)hp4<x|G?!9khM
zD(8LY(!m<aHBP<R8T#aVacqy_qJtSrmL!UE7K>m1Z#4KOO+A=lJ|xg~HG@61uzR=q
z`hZ&|(xjdZe-p+*G)e+x5AjT@M<%`gxL7EtpDJYDFl`DG$KQP~8^<@D5G8Vx^zF?C
ztb$MoR%qv?XfF;1_n`ukYZxUCmN32ejcEVU@;i!cJpg0a9bk;L&wzX=-yr=jn$8~S
zB!w|DSgU~Bj`C4tL>z%@$l9bFlSgbgU-=>51f>hgQlkOf(ju8~MT)fc!cDeGAqB0v
znK|g1cq(h<^^FfY)$EIC+rxef;ll#f-R^l$zIjc)9MRr~GtqfSgt0+j7<T3Lv@gV8
zicb45|G;6^gMA>E*YsuY(~k0n5dtxiw?;H=auv4Ze<t9PMr!i81zz}Cq%bVkYE_v)
z%Lp@nf|y<6Iu$)&kWo^qNQ{-=Vnr9cXy$v%SRdiLd4qvWvgW@cTRB+!N(SfykAoMe
z!lSc?Un^KC`9zR@x<b3y6N+X~@z%DO23oysoy2K>|7X53c_V4fdAfl-HfdnsrNFAd
zyV4}L7-yz?XmJChY%iniK<`yge0zFE#w027eZwq|XpBMqlXy6D3Z48wnXRbVVN6_w
ztoeyiOoS)G*aT`@hxzobe1lxxwVpc{7NfO%9gn43uv(s_JHNReHj(Ib0IV%69xf2T
zmWKuh`~J9m$9CX;<K6a2F+TennJ0EvymP!J0|<U>(WnNZnKMxaPbzoHcmqM`%*49T
zUBDq?8|5m*R>%Vv|LHfxrm{_cG*)_ll_1K<<O@3|o)r7K3GD+A=*DL(!90n+Pe0#!
znVY}TNE?VMGd~XDDdjX?2_Z}7cEJejd;E2gl4B3Yay`R}VD@Llen^dSH)^OOe5i6m
zmVls4RrrEsxzH5YcCfP`C~ui2?d2H4f0KV=0f)2oP8tluI)4pn2DA+zuOF?lx8n~V
z(bBZ@`^o=W%R<eQ3KDdL2oVscKKKnGNlA<RX<!f~;Ui<_&s@|zjoECte&I5A5i-UO
zqr@bQSV{*AHQHpMaQ<npx&bqk2w7LO#)WMUjRxaz`vH)u#x~*(lf@IDdK@aRkyc#q
zv;u%+JX+)N0hN|tz$E$LWC;c~bGS?;`XVHLN3zp%<PMF@4j_Kz-u?uIXkTb&dUJ^6
z&EE5*>MP$_T=r8(?Ysz@qupyjEj9m51STUp6dwZ4xlsGO_=T0hqyj318Qe3pWT%s~
zFB69BaAL_92B)$uJ3B-tHQjkYF3btijdv=CDT^r|L-h9?lR`*u4kf{QA`C|gB1ysB
ziTq%s2Dq=FL2EH54@Ah`9C-g!GtkMwm49wEUcpg#?spHk#&B?^Ck%y4HWr8R1N}`T
z!H*y$5M@;KNX6)-g<iw3f%+(7y5kPq*f54k+DaTEr7~-LB4eM~Rj`?BH%eN}$P+}@
zL%*`4iACuR@EJ(egkW*f#oG&zNRRT=TC+k(LvSztK@4uQ<l(i$l7aE}0*<%Sr?T)q
z%aYw+;DLgpdRy4xw^DamO*M4``F?c+LHOg)ySQCTfF}^yt~*+o4f-%v8FV@?1MX_6
z3dG8fOtG8iCg8b49*9I4FJ`%}d@kYR;(d4Oe|L!nX)2x-W0X*rR$A!geRmE2CnFH4
zfJ4!o$-}PXGTx}XleGG8W1ud0j)HK38c+;WC{#Ni%{x@E;<#JUCpZsr!q)OlMgEya
z0V$~-g`4icvyZVD{WdM`@Q)2qU}6JlM!LmiXVyF83>S84guiBvrtN*Xt-v2Z@X8LY
zpSsKtlu{p!Tcm;+Qa`AStR!v(*ig(=KKr)8w@HXso1zkus83G-_$l2ujq7%B(fsY_
zq2ZwpZCksB{YzF;bCef{64oNVBs@ZO<hLGU&3HxepxIB6yWlW)c=v=(o5HIE4hzSw
zK3HL5u};HkT`2Q3TLGliUhbfC+2EEkXzRFZjA|c@?4C5_;MrYLVV-aJ$rUgrEib`H
zfXJxIRU6cN7s(65m$wHmmn$N{r=#Z6+fMMAbM2ouMEujDkgV2jKpeN(5Ta|_#*R+4
zfTBs&dbl1`q!p`UJcB&z$acOtFnYb3LdT&zVo{iYT2P>=fY(c&>cv?E|7S$jnz42R
z2bpXeT!;x)_e_SN<JXqk5O_ePJ5<FA@11s8tLcr4oo+$F?QY)*3XbXxQ1PCXp3Y5j
zl^IHCSI<E<pM}RqOx7&=7w+O!rL0;b9nTk$2gp@qI<n7H#8{@8VM1Pg@0@HO-qP1{
zOuK&V?tGs=;W$HJ{Sf0CU9Q2PH<TX0;y?}>uP)6@9Dq2}$LECVU98%2`7NIBB9Vzd
zpCO6a*uF)2VWS3@BPY-FMPJRuTaM`KlrkUA&xGgqM??%ol<a;bx@A7+x=a*Mm7|o3
zuaq~m-9mb`?^rhS&AyLr{-$PKvyGvl;3}q<#@Y2E;fdR_jI!x)4$xX51_~r;3ykOR
z5*InNLDj!NIE}Xe|3P!H{73XI(|;Wt`lq>EH#-n_{vSj|;ZzNQ|L(jBWi;Ft>$pQD
zAtxu34g)e}POb<l!A1M`eFj*mD9B~2lhCgp0EA)Ji`fsSTGZj`CD^OT>-m28Njfds
zA)Z{H>BEhAB6+L`i&UNH0f(e=9>3p!tygPm$PMY7;*H1<b3#t2eCRC~e^+{!<h&n5
zouq&zVBP#ocbXR_(s<5EH?yTI<xmY2OjsVzDSE%BK*QeHvZ95ey@#<(Bk4M%+4>*9
zsl&{2wJxT*&5GTpL^j#ld@BN+cH<sIH0>k`wdVX+TD1kX#+xOaN#jPiA8sHE-TP3k
za_0bHS+)jf&3UXDUc~Y;LbW15<kaTh?J7HXXue!ggASC9#=mhb511Ux7J!v~dT{8E
zuDr2azg>K3^ezLHb#b;wy@0IN!mCv;K`tj#AS*o#mnqyEJa{gZtQzSb;IPC()0H`Z
zp&bq3Zs>|=5^LD8yAy)-?Wq|}WPnaFeDmsTHa55OQ5*kyrnJn;gyPmbY&$G**}9*w
zg1TyNZXPULXmZ|RqoUJT(_h>$eoT<wN9W&M=!)od7BSb%I`+vr2k=er8?&hb3Q5!-
zzoPa#CtW@D5qOd{yZsF(j_z!h<buIz-T(?v(!&-Oza06QgIw7ob}0G_hYL!*YO5Rd
zlc$fJ(X-uO#sEKa=2xPWtMGku6QdEJAzi=C0;)V5x4*)QyWphUG`y6KYrayGO|(UJ
z2<g{ip|TxPDI$^?Xn3!U7rw=Xans6h^+LQhdQXLBRbh_<%n;2h@*3Z7Du9ZbWoNI=
z9?e*M`wbqz1m*cxZVIBvO~=+%`*T~8zjH^wav#he1a&^Fa-dqxD$8&;#={kmki)i9
z^(8Dn@alE1-obP|KMpPB?suUn$E;$*+EZiQQCeBmlk;rv9zSv7z~Il2t$q?z^6j_L
ze22}tON=(wUov~U``a2<9kXdb6;}HMO6%soL=p*lBWbs$+)N`lXX7<ijZNGb@@<|h
z7C2p%+@YhKdmT*Zh)UlXGT<q=(6oy>gj1np@<c112V{i>BK>QGd4i-L0>&4RtNhj7
zmRZuJl^YQo)uj?pq|A`UREHQp0cwa;l8YP@K7fkJK}12`IEKk<W{O)Fp+N{D{oMV>
zo>Z)~I>+uGYEcvWED7KC(<AyoF-kk^DPe$Lr(lyP{zLJ7fsn?UEHl>oR`Ze&T)?O4
zWOd5kVr6whkJ9y<Xv>l|+Gxg*cWF7qfZB&GGr2_g820>sB#7So(9J|CKPCWVvNZ+{
zB}a*59*9NHqmd+7rx*XdKlX?R-+qsyh`IgJ$KVM4KD#-NCm<(xI}8GkI)<%3YII(2
z1Dw-DFdTa<ZLkeYh|XCn_w{q_UvKxEmD-z6Vm#;VDDu;yQHx-7k9(dxb@w+2?aq|K
zDK@zWlpTAwmPp<2HbhSn;8h3r3r_a;XQVszZEe9A0D%*Z#QCIyre2N`;H2WiC>Dft
zDw^SxlKzyjctZ(sd2C5KLm8hG%H$mXB9=pdN_{{Z@z0b#=+m<<v(rEljfLPd2$ICR
z&eL26f;n|F(HbMJeWOZ&oE(|0uvJsLY}Hp)(kqBi3)SP3w#@Poc=*dpN<8avg$Zcp
zLcwIH7Zb_8lCLLTl1Qxo)*mg=OUDx#jLBrT`W|OPzaf-z?6~3=eT3y5(xkD%`Wu*Y
zGJILB;K0!5#zxV2MfD#FS(%;m;o-W!oyH*wUZsWTr&Ox_MAR2*k?b?>KgrqI1!Qh0
zqbLx3BWdLzYwA%!<^ZeoK28UxO$D#=-dAj+DYQ5rveJFQIO;NmQmi{dgz02z4(O`i
zLcmgzhj4t9tZh8xEW5-MupD=QC1iyRr_th+V0Fj8rfs6$Fl<LPgPU2UUSmSn+?9d~
zVmIO^$+`JESf<v{eS$VjEu6vaZ^M-0*T<Q!VPm$OwvIrHB^nNN;0K9=s7>aMV3FW-
z3nuYETOtxirz0BZ!mW-K3QZ<_5l$YE6P6(cPzoYk2^{%`+~1RDP?6M$CIrpGsE_hj
zb*>;lJhHU?%{oG`3_|a^U8&ao99iaw4CpxxikwA>>2crJ>@N=0SrLNolrqM7^K3rR
zwIa-V|BL0;Z~<XHR}zKMjMX`ed?t}ASYWlvnY+gBmWV5O1fz{(Gv~zJ2NQg9+lX>T
z`GU#W>RLk<qn)9AI)$*LlpwT#@jVpB6~hyBNZ1ky*XWBTw;+At@^78pR4h0jg-a@T
z;8@s{pZ-Hs&v;hCRN1R9SfB1OlwtK@c0^*#tUtVfC*06KB$NU2DeZ?!Nw6n&5{sWy
zGlnx_FxNgvsO?>@0mL;QdLLA^OuGpq?#|?<_z{13XF0RN+!Ba;Y!@1>7ft8xQ}-m!
zKjZVe3gXp=uJ*A)?I3|IuGwRpyY`_)m2=;~2DZ}UzIin>Twn}u7aN?2WlpKW1A69i
zqNSM_d?8)-zV5*U2C(B%m4UwUMOD^{^~WFV@@5Y(3?xXNLiNcYu(>8*G=?VFFMR}A
zt$^n+XZEeK<ErI{edWb#RFZcCPZw7YQZDJ~sBuK!9!}gG{2iK>Aimr2NT6P@XRtNe
zVYij7r{p127_Og3JSb*qpH^tJzpBD(*!!6tsFWt{_ir-E8?2xHX3RO^%PgCm`WuDW
z`4hjLHI^dBNE!Yo;!IAi)z>ck{#SVe&b-zl-*y~1qOsrUG-e}qC*2D@?QEBYo5Lsl
zZTPm35R{nOa@=F~o6Bm#4Lat9eNqVEJnu^vQq|dchb&+HrI6^+`s}n|59G+37i36O
zpl>?qW(hg#nI-K$pm0u+x69r$m7$8su=5{djK<UR+kM|XabVLNmY;VznEPBW>0xXH
zqax-MypSlyUI7F8fvX(Wvm4;!i=KcY)AP{xQs{}$JnNTPw6zT;xVL$OHC{p<uh&_8
zJi#u_x`}w&-rg89*z(Q$MTiKKp3_rR1Qfm>D5MD~0AjvxsD$$Gi1&fdtuB)SV;o`5
z4zn+WO7caF_b17)Ufv)(&#(RC_q}M48ghwK{THzqW`%OJ{E0bL0zOqA$x(PJbbQ?}
zcmRWE*#9fB*jWGfzW@K<?DqfaKxh8<)qmLs@c%l{vD*=UYIOT!ufgrd(+NXqqJSM-
zr9JtfaSo{G*dX8<s>x&w$K#SBZ+HLM2@);Xl<O9)9GETR+u68qp^p!CZR$&)sl^<K
zsfu>RdEs;p!jg0rf|D@@BGfTVh0-yB1=BH!^W}$Bi8NP1_dYdr`|4;88Fx7im9)JV
z1~4E2dql=^Mo}a$V#~uygn~AsAdaB+#u-Oeh2X>^cS+aJM`BV0b$LZ@Mf353A5}py
z_woqn$Y98M3U_E{Wk@B3pxIjF?I2Uc27;sohJgVwhJHN3^N0xO0;Owe!;Fk!)F!(!
z+=d(DAry0gBWEmr`jnVi%i?1r;1Q(QC^W)WXsjIKX<9Y&;Ts6aSxaemTu*2b+w!Rt
z>ZN&#(HOC6ZUqQ%hE!qWr2Bqwg@NZ52xYuzP6_Au6QgdF;Q#6!)v37j(kiEch9>ra
zc}o%&in_6_#)+Q92%0F3RXT-CK=uqL8q}%M8|rGXHvO4z{J0VE)}{2|&i3fQGARUD
zC5Cef4PhW{(L81HsMj$Lsv|Hd_H9s!M|6X2P!ehU?Xg1?1nUVSsN;<a0=SnZs%pZd
z!J%l|Ny*k4#-ms(`&GcDEQb!Lp|22MYTUFGscl`Bt>#!1poL7TEMfX{^l|l&mN6JS
zU<wtx{#C`uN0b+W&&s(Wd8jc47Z@^3G9(Jurs4N32(^r-tAd)@JJ>Ut_qf(Fr-8ms
zu=@Uv@)73IoA|PRLb<AYeckO(A7$G1h*2LfgWU>cHh7d(qEnLQ*7JCqk&?sPUW#HT
zpufrCYk=u$PU$r5Y1R#Sn~68Tf3GQw<;?vlcAj>fgr8hK{=V|Kar>NzZJajg(csw7
z`MKABES;RTVs@?XW;EBKL&tWt-_J;8u(}x2AqtsG0ajz@t4Uc+eT?>m_1W!pnwEVG
zjoy@eTdaL`#6G+B0s=(Kd^c!hb8T8BpRRoOc(-@v)osnM=zd;(pT54@JP!1<X2H~{
zO5V{+TZg(G@Lx>188)Z~sa&-lVpFFvXr+~^vvxe&SmRy2@eu7Tyxf^wXfC&O-27Qp
z+OQ{|Zk=47_FA66*kSRt@iFTe1pPXWp1#1kh~rnI7k1XSU8j_Ps@E_H@D76Mn2c4$
zzO(vq=zMd1JUA%8&3Cu&Zr7&Em^`tq{g>R{?cTJyS@ku`$ULsrt=VB?bQ|&%tc0kC
z5N?AC;D7Lh@W`kVvtqy*3rWdyh`7>EN#8F{nvqlz1|CK#nd%{uV$#9`WT)gQPtq^2
zpqgIp1se2KI6yRlIiMwE7RpX(G<dNGK~#0snR^wvJQtJ*2GY+>0JWEUeW8THM!+H=
zV~SyGL;&zsz_dvTu<G~YN+KXS$S#8E<bp<QSJCx{1CgYqeK>ClEB+gTOJM*Bdq*NC
zM1?jtPHaY~3$scwmqv<Aw8jsLR5fNhaY{xjR1RkE@5wXQAot9O<ui*n|L&XmvREqn
zv;5@K>;?Z)y+u40(gJ{Y9UNJr&kMf~(WC7j?>d0!h0XEYiaz6~3L<B~KaV0<*<W^1
z-;8;)OvoTx4mQQvhwXjzC9E+h)&8enDt}lCV68{)3rCl?@EdA@S6K4G+HfJ1ZQa41
zPk~_64FVNE57oawk*{YBYQVvPPvfpxTZ4YXQ0x_emZ+h&IM-tq?_%W(bE(>aYH1ob
zh*s0gqI2W=`Nrpb18!sG#{HVWuK1>#3t|JQ@_3iG33ViZG8V|17}R=&kue#;iMKa$
zE$@d1fPrY}&CEHWPY0Ir#?CG1IRb9hy$@mS*ph`iip@8ffk&t`L9;Ykti%MeoCy5H
ztK|TRX{N>MI561`qf;3VZ}Rpe69J|eHohLssJBV9BY+n82oL=Hpwt~+J3<P232L$8
zh+UPC;PxXFF-{|to&#+*S!NV{w2>qwDlg2bqb>+V#u=U+gZA>=?6ACyRA}Y(viX-(
z?7r0>tV~HibL|<~0Wsa8URqLY+Gvt(t`R^7%Sv_+tX!dtF$D?yY8v40hKII)QN}AH
zwTd4k9#lLPyK1YXn@S)r%O{KQLU#I1-<FLiBV5{NK~V^V#RdFP&b$xk7;XWtN&^pn
zW?lEeQY=b8g&CiHYzhthJQ!%$1$khx*u=M3?0y??lc@a`;Rf@ly+m#@O?81UQB0+#
z`qh%b=19%;o%&TyqRZ-n_Ua9n^K~84anDuibnBJYc!Ar>5pt=24R%?%Mt~XrNI-71
zoHX@SJS<LJK01d?FzE=BAmZ7{1i@bkAp$Tb6VQ{<2>dzhVniw*S&=HF&`No~rJyUl
zI4@Y24@h}vcu|471yr(Ho;-?iC=BrySk&Aru@*_MDE{azt|c;SQ^a~U#VAHt<whCN
zzMf9xT(vzump%(P5-*(rralaZ0X*3oR&J=Apt`#kN?Fd8a;kmbpY)K*6aYVqDmhv`
zDkiG*Ma4ht=75s{fa05Kb$uFuiwJVoxi}KI6xLH~dQ&$iua)h^Vtt@r4}M~OqyVXg
zmXwhGPxTM6+Dv-f*($hNvo|}{ra#vYsV62a>8!K<8QE*Epcb>{y)a8~3kI+H_-ar2
z(!*W(_`8OrtwK#L!%4v4^Py&(ra`ejUgiAojL(I^@ayD^rqJar;H|R+$wA13$=*`)
zf<)(eh^}%G+!Un6oi}+Xw`Uy+SgyB@qNxjYi@H~VVpU(0J3XZ9s@ZLzP={}87CyaN
z)>u%&i^Cr$hn?qE^=}-X4BAss&|I1kh;SjD2bjddMxR7yO9$(=%&;-`o+IJBT6MB9
z9m`^r>S~z#ThtT)MbSu6&hpYia6LnR-2IPlDl9zRMawD(gPX>(8o!~F{!;unm!&HB
zxp9GA;L1xh7(ms%8@|(jWQ}s4h5*i?d~SiqR@nl$`IU)9lXQ%psen_t?C}EqB?r4A
zq!Po|f1?|a@LK=F3}VEe#_SXhyG}v=P=CS$5VhV)4M_QYuZQ-DBXnE{u-)RPQ@kM$
zZq=mMoiB%5cM?!W*v^9&dNa31f!cIhKMs|x1xWPQ?}WkW3Lh2$MR!wH-+J=%7kzau
zX6VQ40rOgQ?ubw$Ek0!-l1=<V)D=b?FOOH{kz33Y#u+c~`-*w^7ofLE|3Bb_+1dU#
zs^))^R}37C|E&xw{vR^m`~Q&nK=vy*IWSEh9<G!Q7H6*fOZ3t^k;;K6O|^a=7o)+<
zCxj%&tKfj<%zy|!gj@r?T5|5!>1*Ghk25b-CtaCx)lHbwr)z9YRqC=L)l*ETG~%jE
zddYPs+ouw_zcz2bTgr52(W#~rbum-e-iHeIq9R_0Ti)<3{$arAFq3l+k$vxyB<X09
zh+MSW3${I5omu~^$IrR%x>cY(M^JUX6Txh=Jr_hrH+%#_YbOM_W>&P7vnhuX^TyRx
zoc^}|a44=@5$;(R7prcDq;5DZk8Fpc+RE`tMtHNMiyv-#5hgT;dXzO=i&&H;lWmeo
z^#(v*vJOI~+%hq5NXMH<nFD*`ntWD!Q`}}qGt27FRSXsMK}P$p-rfXwEiZ6{s`TqS
z@l9QZr}O)pb_XmW8$$Feutxc#A+&who-4!nf-D{y0)Xd+r;7^KJshX1Htq((A?PL4
zY&PGm5OIe3rqhW2R+d2V(llZ9#(1~gLz{C<(ZjXs+L5&}O;%rWd<o}_qDmcdX+FIu
zijJXB##1_xAcNdydW)tw78NGO(zw)9a711Uc?dXQihknchCP+=cF#TM(_zapu=Sh)
zfG5~`R>bG{Tb-SahwSU{H<lDWAm3A$H3J6>Py>tb%jJO&`BB$(yxaiDd1A?p_XDj1
z%ye?*ogogE+)!~CGDy+c1?ThZz3N9W(y3=uBIjAGQyU>07Da6e>{G<2(BOwp0mYl^
z#s4&l8DWJ@5yhL!lBD@Vs$Dq}B~M&Gpt*QV&rL)D7w}DxTD@VN%}apIGzCm&o>J-8
zmfQdJ?sZp<;{~>&_&`}cXT;P$?5-4^Pu5iKQ&UuA##qmb*F@SPQs)>cDPL7?)m3H<
z2uM(#M=erXmS5oRF<Jf8k;?%>I&%mvJ(j62B2_f8W6(uFawFns_fv8QXD+cfq1e6M
z?^Ad-b;U=Yla?=rRV?TDo2)N*X7~@rX36T}<B(tQxkx1$v=U3SC~CJj5oHfd7RL^N
zCqJk{1LQzqvII95y#!L45U+HX^*WoFdlWIQ^{0?&dBKPuFjWPjd^+~vtRFCsy^-mC
zpv((<5(4A48#Aotv^@q8UJDbXmvtOiP3?Yqy64)$j(rIZZXn{Qf-pcUtKe>rMzC1~
zMw@#$I)EMRODS$iFbggry?)eN)&y)d!3Ujm2;v<Ym=n<#t-t6XR^idmN1~k2VL*k5
zn?FV@MUp=l5O4Ai6cDrnqizvTefxJ}u@n==4}OM*CAL)bu_hX*sgf6+%k>Da@cyg-
zHTf)XV(3!eiMJaxFsQ2{Pq7jO%&D5}2nkB;_AqC7%`J}d3QB6hp+;NBdhIP)_RNf`
zv-&lg&B7r?$@?BU-O1iz>x`%gg1FsFC`Ys6&oGt=za2<c5@zxXR7P)-cCq4ma+ABk
zl3`5@LjYHxBj+zSrX3Gze1GGWteZKRo(TCEf(o<o^}df!H+4qb%2*lzEF3@Vd6dK-
zD_4<qc~?hC<Is`8iD^CVx7&>w^v*JM#dS1I28?Ksb@<`b(D6okW{%JEI$K?C09daX
zMT;s2u?H$u@bJtvH^V%OSZsRsKxdI3?UBSLOnQ6^x9L-`NF6~zsG_O<{3~h7V4W6P
zrGGm_Eq{Ga*YPlIRp0ga!v3PusLYhP9b#+Ew{D2MqZTH>HR1B`g#84U1hk3%1r-2K
z7ehw^Kvqyf038g3GitFbj(`Mr@f&|N1~<2sye3L94wT)Uz5h9?ETG#K^JR4J8l*_n
zJCZ69l6uox_9m*IL!jO-D;+nvwh=Utk7L+EU|khoZdPhvyJm|g)%sSN>%-1yI&oVP
zdlV25W9EbkeEVX7Fq)(iXMTi`#VdpuxS}ZaJM_l;N&V()n~0O;j|~2elZL@claxcJ
zfTC-V$3L}$9-1har6y<#7otn9KRf2k*KeON_)`DnNF!vZ8ibV^nAELT<19Q-+>f+I
zHR5__Cnj{qTMrB`Xm#x=?>EV>r)C(@tEP`sZnU??<g}g@hcbVvpgLa(w%*PA?8jn?
zD&Ay6=?~c#%xG9wTGXoPKWy9U>d$VUz8+}KcGN@ynIk|9e11=3T3jNWg~VpWtrbpT
z{y8%Hvy}blJWnqLndxQql7p2XIt#tuxo-37yv!^2C@rA=9Ffs`;~lvOPW{RpRgKd-
zp`~1DyIlRK_}Ze>D3$%z)A!gPe)2op9KDcVE?3&dw%+hz>#k^v>Co@chA-rYu#gks
ztW}3&129`QG%Hx~O9K#362$)aB@?WjdVKa5_S%|xE946}JfbBy$o0t|%7|m(co`H<
zI3NxZdhxWAghc2B0mgQN?n7j5y)`kZ459UL(2FC-fWhdD+ikYjS5AVE>!~t(!VN~H
zQSk+@paNz0nOFREH?ePsYZi}i02fpMf7%^tCU~FRut*N-tC3eKU^FB&6B(nY)=3&7
z7E56m`fo#I&*Q(D=IPaTUs>jg`rI?bw2=7v&KNfGr1y!*OTkrSx^WZ2>pcifSX1+Q
z&jd%Os(0(ZfBui$&~BTi64{r&Vs{%r4X{AK$P!^B)Lq)UL($LVGXT3*s#mVtCNN&k
zq9&OgCK`MhKU%Z?KtQr_myP(7TKJ2AWc@Z{1{yq+4=-eJ74Syk#CAb_QTHC_uoas_
zuiv-_#jJZIpJzbMsRSD%T?yRPmc%KnXcLTfPLji{zlTP@mxaY8<`f0jy>|Ru*$bdG
z-az_)jUjf<|EM_rZD9SE#!q+JtnFqS(&+6swHK99Udg*;QIckdv}>j|eFRw__f=0I
zRbxHC<^ytZi@@)D_P$(07M1-5s16(<CypY@`@U<)L1QOo?)OIkpF&TMcfA*Nqxy^k
z@$}WpA`Lptp@9k0-~$fL<+|?pbV+&V%d%H~vDD5ib2dYT?(l<cj>CAcpMvlr{j<&K
zi(@*e_57A@oc-~N^1RA(PR4N0+Ro=hXuOC5S~h*llC#;xJCKhS*RAgJ&gI$a(hhwW
zwSCbK_+<g@+E;Ju>SXIk%#LXKx*)&e$rD|r&8A9jB-qLR2{dWLQS&BBZe>S$DN+CY
z+zTM~Os5_+?{NqipE^xGYNEt|LP))?G!LKg2n^hY6fBWih0|?-WcmTufaYWtxjL6_
zn6S?z416uP=BTN`%HEIu@nG#gD+F{_TJ7p(k3MD6S^FQlR}*RmWcDq=(LA{>V4p77
zUhiLG6PB4%9d9riRo!cjg}G6rx8wp4Z=whoPp#Kr{tXE_yQ}7(BOTttSBP9cXlw*7
zO)OQXetmv=b4kdspJBmoDM{xKTXnTBTIbki(!U9}!)AVJAJ{+Jy4~UMLo_q&4Qcs+
zkU|`MS!0ivr3g10V85bdtA)v-8+!gh2_Qm+$wzdzvzwafp-HUhs?5o6s@yP;-pcU|
z>jb>u6OgjSkX|Z_2o86C$HC1Qq^~i_Xv_5wVhdt=p1E?4T$R7thc&fAQWr5mHYr#7
z+oxMsKL><VC<-8p)xYOoDv2wmj21S1WYFVhdZhl7tX=}B@LtG&@YI3(^Bcget9Okj
zn>3LKA2qS7#?m!JBx$qpVN0h3fHG}cuq#bdIHnHdY*1Kj0;NMvcSWlg3J@^_902#S
zqS&a~-P2qmu?z-%=geV6i~(2yeeo;1Y*Y5)5B1u-hTCETg#^j0<h6F_wx^uJT!>fo
zIh|krVn?O_nk=z1U+*y8b2h9@nca2!XW;7}?ac31(ai6*kZI_esTK3OIwE+iJV7FR
z#M-y!4Tc_}B=*S!>;*+~^LCklYR=iQxu8cI*Gd1n<xZ06-~Wx&!L!<KF)M4X^vn<E
zqunT>3Pj+)%{SAi=!T}czX|A4@ukVKt<<L1-;?u=7)0+J4qp&9(8osvM&R82JKjHP
z1BFpq6yq%7Gy<vI#%|{NdzpiP4}1Wu-(~6$D0aftUeif-MaO36pjH#%a%i^_NR|Ig
zCZ?<oI-M}S{jCJSoKpOk4;MVt=DCZ4;)4Q$KD?j^57ailN#DFiwx0tTzF6vAH7XPb
z4<`BxoYe$;iojWdq<3&%PpLQ#92Lerf_znb9tBT@K7$@}ojA`Op2Dencx-)%+d@EZ
zeFcHw3?c$CB2Fg0{0^_75HVkG(7skBm4k*C!rp^nN2$n@ql*Q@MI8E%;kqGuSc<vV
z9JkjT=zFgyI6%q=B~jqJ;;IYmu#r_wWe5_xtWWL**^geR#5W?GuI3`j!tE{sSfBqr
z?AtlC7oTS4Q|vg$|3}$725A;WS(|U#woz%@wryut+D4_Fm9}l$wr$(CG1c=;Pjp0g
zO!WM_e^11T6Z@{c)_RT*6}Wmc<ak5NUfVT0Oy3X9CuG=4-{^Hw<^@_pEzIdCqJ@(K
zl!w?%A|ZH)T^8j2*2iX!9fU39amzMr3x=EFCH&_3Ba*<(2*0v!)VfThgYYBVx=dF1
zl-&O`OYTl#1RG~hzx#Yh0&4OibQqry@SwK@wsK4^+Vw3_wvC?P%Yi|isg*n*1+p$k
zcwdR(e%b!`!Yz{x575?z*b;Hlyb<JhTECJO@4?H92bR~CKNcW<LMdEy6m)git$!K-
z<UQIfBnh~+1{#Y~`WyxYvj@~3l-y7v)`fQQBW*2+Fa`q-)@5sJKE5Rtk3;@4x8D7V
z5t5DW6JeWwiY4haIXH0yl=-1bI8>^bxg)ljE{7`*;W7L7Iim%BEm53;pqS!5TFLa+
zIw4T{FbLu!s0+w1^YIb1;8ryrncy7oNMfxLNrt&aP?14)2T$i~Do?P=ZVkp&a5!on
zXaOv8P3_M_AWKe96&)J~%?#=|19jeh5GHy{7-oV+3*UMIN%=Frq`_K(czmS<Imp5G
z0#Jh<ve7rFA)UL<Vt8XbINzfd0b0LUW~nKFQi+nBQ(5xiT97#?;}X!V3K3?RPlaEn
zI0buUkB=|Olr0g~kho%ICL9h1hFD=Jp#XQ2b~u{D2GBq8kdbO<DoWz!g*!p4{2n=o
z%R<;CPDD+kG#DYmR3lTIhI6rq15>9!)EjJG!Ah8`Cuz`YxQligEZvb;bq5)z&S(>_
zM8Z$^11648>TMs;Js6vDdFqIjzOXBZ0lBvR>H7j8U}t{!h<ac6^K4RP*JF`8xX*<c
zz4Ihon&Z*jP7A=!-QJKg(R3vf3TlWXAb2RAWd?hf2tf&#nrjg}DO~{ajPHY~7etA?
zlx^XqQl1r$5VPnUK>+&5Gia&dUoHtm*T*bElGr^lN)bmqL_{7!z|{(#PQ(PVb9Xr2
zO5~pqdVM1UqAN{6OA<BD>BlWC6{hfDuH~u=5jdrw_M9Ny<u#%4Tll@!{aH}~g1Gj3
zJ7N5Z7ZBdHkJhUFOW*^D0T+|bG||X*8`*w6IW-gNK0cqhv*2Kk-XDS{sGb@)+eC2Q
zPli4x1+*s?(Ps)Q`+V}63|OlJdJR{^WFBcI+HR9FFX##$0`eiUp+d~-wEuXii743&
zrSs6@_g71Vm0+XzC_@?yllZ2>iJEByll&A?@kjV$DH+F(Wi*Bg{SM5}VCPuhP!B6M
zFn$1BSu;QXeazrs`k#ss8UFVcpQ6<NyKg$==Km2kfCc<Oy&A{~SS8!o&^j!wtV|Ii
zLA5jUB;X`H@}F{cY*`2u*=V^@2w-#Xh!EXhUD@9bZTrayc5cnaCo<R{5awlQ8qy}o
z*jrGjQ}>MG(;_utl8+8s4%_W~PKaHuHqK~RHSePh)5uq7FsDnuZpsuT6;<uZ-qP?8
zezL6SD$x|eXI<80%;rgCcb;tO))Jra);hXRx17o1HCrgrqa&@bJDpYC<dS2CnlHxl
zi=S48UL1LYkv3Re)Q@tM)5vYvzHX*UB-3S0f$>$e{*;&N1nY<Xc+>}Rrpf87q+I0F
z<LIyij+CXSoT*1s<wRKO2I+C2t3Fkmyuv&nX!3DL8tzhn;Wqp<$xk&`MTE00Zz@Sz
z2^|?xxzxMbw53|c&4QTNU)Lh7B47<{MpRqXc2QWQe22zVE8J&dwf!8m{PGM;qM1-~
z_!rH_(UgTORz|}Z;8r0XpdQqgTM)4?!v~dD_5~L}&k2)^a5p@<7-3J?G02osb7%JM
zIh#ItF!_%>Sq98BD7)9RC|U4)G7-LkQXBes(9`f()}+cc`*98-T<*8-_H!$}NkUCn
z>aovAyc2#I$O4?>I=V}X^VNC|HD-k6TxEJVS&i<TjdqJGEAV2%U9*M7Dblamy&9Cu
z9V#J8d#?KH{4$JIvP_W+3`~#{#!>)8?Ilrf(ztEZYX#3+QF?e`C4`q>oS&-Z{r3m>
z6#$J#OnyuAerbd2q@)qQaETe#q>OJUHe@{;rYu`noFEUSFOFDIiI2hq83*$Tm+hAQ
zrRGUSYDxr@D0_`S<}`7pn7I{*?je&1xbi22!uaw7#(W3|QUi$ILTOjbRrNr0_WU2O
z-D50ZFEYHs=&r5uq8R?z&2SS#hh*`uB+;(~gLl8JT%<){+RE`@^1@#cX0YQ?<dasv
zVOn~`_*%S!=JLZID{{>ZEq8*D+rWbHPzC~a&vJVl8=ABO+TAyo6x_s3;B5yqQ0(63
ztHM9#<)_{_Z0tMP+U_?%K`tF5abw9jzENIHWX4x(^u+bC&jQI=c{~}Uvhoq|z2ylq
zTcmcIP%M}TJ|T#`$3A@x7Getc`h+nQ%V7i2V&r+Jn$p|=H7r1?L`FkF>ofIK$`_hL
z^9|uiM1`w97~o!lCXs>DrMJ}WOz>ZW|7eT<*pLjA6xR6We3NJI(dm#iGH`F)ERPk-
zZEMA+>WgH%oADtY?cRfRrz5e-JYW!J2TR`*fiCK?8KEF!-ZyiSD@Q+{+(MRi*?yEz
zGN&FuGKe%~R~8IyYd!Eno#8T^_N7XHA=1`-Pvu0jg)PtsN!_y@v*#xq0tn;GCNVuC
z72m3~lXibeZ=$6f%6VW1w$eypxVCjH3*sK5L9TC=(_ZkGU>jdf$NkMjer|)NbK!sN
zrYRMQL#)(CL)?k{BWkO`hb%X?>stgDAuzOK+Ys@EDh|eDOy`jGiz|dkjV}HI(V)#I
z6g*8Q5XA-0MK2p-BViXdQvKGp75`2&gydBCXr+B4%FuxJK&yw)@eH5MMh`9fZ`XL5
zi0NA(%W>iO+OMPqy`#pJ+SeQvInSg8!6Ty_^|sYuJ&)NJ@zZ=K3;`_buhZQkbj~py
zGA92$eKEQ9TLRa4VWT9KYz@+vX|`g#ZYu$rW^Ui#_HN?4Mlld82%LTqvIul)JWd*S
zyV(o!da-3L-W$#!F>o-O2bvv<y;Y|3t0O@P#e&w6-r}L5tJFmU=tkD!s|8<Bc^qW*
zSAtt$+PygBMBCeJY-zXf_wLX(7KB`j<jS#`g2YG=hi4VD(eOHb(zFk#v&rPM!-^n{
zHsIz97LG%WUWXAmAt{K$<utn%vZk0ygS~S{`vjt~sUj5}s%<ZA8j3vcYctj5n{=xT
zZo^EyRt0uo3pG#m*8ZaDM*%sPr45y1n{7SKL~|5(&z%XPpnY@wq#^D|X1Hcc9M@l6
zzF_4xdjmtexgW8#3EE!B0`G?s>$|D08L=xhI_mq&;Cm$mM?2J&0%AcU_0FutZyeQy
zHXZ2AaUPGe&=)m1Q>lgH8dNV*f10XxMXA^4eMKaSctna6D~KB0O~^=8#+9<a+}Wz0
zDpK*=eGDf9K|g(n6GDv1(Et=e0|LrXYVRW`XCs}(@hCO_<Q1ct3Ofd>zv^u>&3%s-
ze-_wUk34@EO(mD>yIp8?xme2z1!DI>%+YiGxCu{rXwZ~S1omA82_kdJTfd2>5A?me
z(Xt-m>5zCoFIAR}0cV>6dIZ3t*!58SP4*Ku+~w>2(8+j4bM#xbb>ZV2h%=8xkr22!
z-jwLIp|9f6{a}cgE*b;;0rhKv=<kJc<9Tw}5k!8Br-ONXG3jNR*?ji`;*UjdxGKQ&
z*6=|0Gh@H0M0(+<%v5lXmb!Dsz4d5CRHX6F1}tP_Q7pfe8eikc(3q$YN{PZ_R>ZI$
zH2k=j7ETCCY0{sH9d|5}HfU)S=#7fu(d{RG?<PU4h4k9fZ~T@K1pbZi*5|Tgi}B@J
zql=vV@}<8)u{YaJT&V+A17gW>XpfNxkz}vw8sP|%CED@pfw0;AvUP8_(tEEXhDU&G
zfdHAaOz^PsPwb}$q2K{iGPRS)DCJZj4@AHD9;<wy<VkIxB7mGY^ij5Vp3~HV5e7p%
zaA&9UjsNhu-2Q(U8(5kDrzAQ9>;G1r_?JXiKj1+2IZ;3S>oR>t(XN@iMxGAzr`@mw
zBh~vX4I%+@-)3Zb6`m!Ozekm7O%fX=bxN2dNvfs1#`d`21BoDu;8uM-h8<#o*+QIB
zI*O$rqeGD@^~lJ$($E4r@$FRGnYo!tYh{N&l3eQS6eGk2H>(z5k+bl)o~q#wTQZwg
z(BFk#54?4L_eoL=bS)$af(Oebp1Jb!vSF0d$@|LOwIqU$_C7h}Hq8wF$U5N#RY_Xf
znhK_zU>8k2ruM5Ee={d5%MS6VpUyWPB~un8LeRANh&@p)@;S7DWw9J#&+I1WMCvdg
z0%tBeOukc)YZhMSv1FEDM42#9<Exf0XnI{0QPyZtX9TxkaQ*VA$oi%7;kuj&Q<xP(
zT~Qm+tMP@0_|_E7w5^UJ>WyC{r>Ci>gk(s4e6<8&<x>^&OF!nHDCAqZuK4Yv<8L;;
zwoh5xwSkaTsX!t@<hv27yy95pqf?qSQg~Z5xN$Qp9uDd*GWu34EU@f8Ks|FLl3&N)
za^Z5X-iocrMPAb5FUaDTk_jRwk?YFnkfDp8YALc8_e=`(z#A^+cgw`8Je$ik6lFGd
z%X!L6@~iBME-wp*HoAMP_!B%Z7s+VhDR30JLk8TY1&>3@4RcL0vd+OEFR>jXKn^$)
zk#k%7L<+KrU}cnb6_O_4Y#>P^Qg#<~WTk(mG|IB8(6ek`B_b_VU|p*PxOY0WFkWw)
zby>w1&N|06Rd?jUASfJIb>GHHid_+8u)uNP&pit4vR+}XHa}m;w2w<UOe73v<4a<@
z`g;w!`VGRJfrC80Auz_5sx$MN2q^`MpW5%E`;%ClZhBEWfoJs>RTpy0WWq1Mx2OKL
zk4s@-CLe|!Z(&vj!PkrcLo7K07ejuuRA;xTb{vQRM}HB00oAc=0o85t?LtC9wNs)t
zRH!#uF$bYD5+gfY&Dy#&JJ;qD$@z+Bu6Fatfu5w#;PQDu)_JKDt=M#BH(j*9$oGqs
z_*M;6HA?g@9pGlhro4!YaFKOSxXc|tbfz6qr%ul1+CMurRZFj4kcybV`mGod?7~SK
z+sVy$hdj8Ch`VseCrD7<RW@#iJ}lbW^JV)9^WOg~RQdLH+hMgSr}-s0HBq-s|9c!~
z$#|moOv8SYRics|*`<!iBc9U;YXT+jaU+xHm~Efm(rcUge+GjM3tRH_ExH*yprVMN
zVtOlphroy(ASNzMCk!kyPE|^41dA0TIZ3n$kMizUqlw7PL;!}GOUFMtb!Q&tA?$K#
z?smr^Yz3s4G0hn}%TPP_5Zo=!%oVr=<nbJVdNRn-@%^R{{eqKa$nUE-s70Ki<bi(x
z?Aj`r<R?>rOr-&t{Ac0$RD3(79+>#9i{KT^B%Tb8H5kb@xG@eviDC3U%x{zclE~B_
zh}&RJU<&IR=S~oc7}+G5K0EtY$vZs(*Y`h|BV_%ErG?Ra)hoMRccMy)(GY`MxOM`n
zIt;(&<rvI@KjL=KOFgp0-W;2*J97epCIVqjCps;9mu3yJo7Q4`@476>72{5k?;N+m
zk8|Jo^!+okY3k8Plzs~5N-8Oe$<-<D61*+_x6rpAev81yC&w4vRp+|?CWSOkCrh?U
zJ69R!`1170O=(9z6FcX))f0rl@viLqfykFv&->zPKCSlp2?!p0FwjuFm}{EO7_+<Z
zXn<64M%_9lH@xyNr|%emxA1D}p5ort*Ju^rCB?KyIgBb~&T+sPTF50&RXy4?tK3%d
zZ-5&6ne@!n#PBv4HtV}>Eb<lbX9XHBnQmB~n*<jZMoffmK-?fIijYOgQaTR3Vx_aw
za>i#mCzCIS<CA<aEXhiF6{ze*ta&(UKW+1!et<<$Ft~bR+<Z=vne6b2jMaY2+U4>_
z-#q<c9w?wNH7<u`&(vO(KVy%j7C=Uy^u+95w(eU=2k4*TDm5TvLisglzkm^$BuuY`
z!J7zZ31vHp=%j$GGH~;OkF=o5<lQJ2fm#xWi986#w#S0KIWs>AB#s+papdxihO&>J
z36i0Nr!nnq5W*}0$>^!OUHv{zpl2_1ve2Y@K9*)gX?LsT@=@2#{o~6UiQ+}~#%qsA
zpJzmrEBgcEvJJArIPs?K;<uRW&+J9oYMys%6%a~_8h`a~q$c|L^{ZEeFs?#*j$Dkn
zZ;H}Uk*R%py}Y_XfCqka!{h@UDt1sGMtk0Jm_6w;m_DV28NbS1M9L~ty@X&Ao#R*j
zNT)6$0tYC?M&Jj4^0u1fCK9X;8pwfy9?0&u#|<*3=G#+w$n5F4y0rBXMi-gIhthm=
zLgN)_7O3O~p~Z$I7ib{KJHj8gdOdY7dL0c{tW|lT5245BsYt=%vL7<EY;UC`8@=iZ
zRv#k&^~$M~=sy!x<v|o4CnZt$+Ly=K-=3nxzkYxQY3oBf&#mwa6MlulpP{jyAP^EK
zawvGj4~NRgl+d7?YHP-JIFIKm>OUrFV!XwEx_E0JP61=SaN1_so`fp=!F%%^g%!R0
zfjbJFWs-k*Gu&lB#N}aBVcxQFOAyUASZ4CCj2EY3Auf`OAFa0fHbp+mi%*KEY^$oc
zHAK*b@j0C1ivAuFI%x$*V)vOHg5L6Ob7Cz`>xTP+L@}eO#h-sA22ChFbM+sJ)aZu@
z;d4CAI=zO|vP(IGL+TX^vHY6!{hKPNOBDB27G!C<%z*u^1@E^mG;aRK8TaF9+i(|O
z?9mgJklG(qE5qibODnjbP+?~NQD4@t9!RHke8w+<@YM}SZk)C^cv5{3JKm#>{s|8l
zNj;NGt(Xj+#rOVfs!tz+IFni#zGEE;bvlxoGo2Qp`)f?xDfN?QA2$4XuE0z;S|A-=
zSdX!t@AakE%x2V((2}e+DY$eK#B0@r%-+gf85T=x(_1%zyV8E@2MEHi?%}^rJM66g
zwRh+L!=%f}!1iAXmj6jB|I1y?lD3T<?g-qsPmd8F8G)^<#59a1CQxRfEl8t)L5YC&
z2!-+6`KXIrh%@}5?@nlkr=zv>m?pP+DR5y%)`5K+F8mu0cYzv7;j9!qXK1pr0$i2l
zu8J^<Fn#bc$D#`1(rk$HL|<o*IU%u_INV^mdX+}54xyHE?s#ksYH3<<@o61&RT4<T
zu5EY-;-e~5=2FkNKlOK`7BF=IL|1&6nvXt_69@%lj2aYnxMvfx2xf~p9Gr7Yu^>}h
zZ5|Lxx{=DAnL;Gh+SQnOY9+Rc1R6Wq0QIDG$liBJ-)3g6I7+C@@gJ?x09)BxjXOnq
z4cjrae(mrN7HOcCa%x#@Xy!))<FPSTCyJs!!a^38QMlpz@(sY`1ME_qDj~k8AeM4I
zZbAi!*a0DE<{|cdj}*ma=sXER)kc`uA>jC;du!{E1-IHbWTK3!OD955e^>?-?aftR
zHL%bNgRodQvUCy95CB8!$ILec<saB^ccG{&Jln%IuAJ_ATeh!Yys;JgytC2VHK_6x
z;5!t`42}f*Kr%WA%)sNDk=T{Qo4GU^zit#+b{UgUC%dYF4X0X(8Z)q2q@hfG2qr_*
zGN{5P6F(Ud=gr&r?L{F;OQ|B0<s(h)Ox%p0?Wj#<c*_$)LyaUA>hr0e?8OQj_;Ix&
z85AbbqWY?__T&p5oP;M%7U4(+xy5$3S-?AqFT=o;i<h*q`tmhA2GQp3cl#_~*?4Rq
zuTb$r_ilb($v08G?@5zRp<C?qdwiPT&ntG~O{$TcKK!jQyE%QmeeMpY#?Ht_Sq?uE
zwrrj1;COVu?<`+R$U73Y$YiM02MQjp=y==_L&WV-XN+QQ8F(!G&i6hd9u~+mblsu7
zcle+O5Hc!sTbpk~-R#(W3Q{uAU{|l%HnvEY6W?x^Zrz<czMuD<ojB<_>n>_CFwDsH
zbM%8tpzxNMBkq_tj}L)=BbAxNd$w+63ok7&3b)Z_=MB%yA7Ak3UwG-BTxfO|zd8NU
zl9yX}suVw&p?Wx}tVw?RklYcE;aYFP?&j-puWQ51A>zgP=J8_p3WPcAGy7gFu~(m_
zMdy*N3Xms(3O~H)Nzy13xE$L!;V#Afc5MEdxxMWRyaOK?SlC*7b9HC>yt;Gy{uq+)
z*vgpThaHG`XmIzrbIe7hl*IAbzC`wsc#_6+XU9QGa+qY+G!nfxw4AHuv!q1&d+vjI
z7X1jTlrYHHcFikE+PsO5MVZg``7w3WkrIdUNUE{bmovJo*tP#xlwM@0wpH>bp^QQ`
zF0NO48cB3-y#h?xZU|kjtJq)4w6f3mpQVkZ1>SbZ%wbgkIgTpg&|LN=rL0MGhC!2g
zQyVW-Wbw&w9HVUR9t|weBP!k<P5LlQ%E?U|>>Gt-Hxd!ic*z^`P^rtetxDsqUam=R
zC^CE1Sg^If#uob|_05|NOfDk7ep02FM@KJTa|ocQrH5a}*(V2}9#mrK4Ul0yj=zb@
z%18C@_YdafsoA20gPBZ5CofO+n6}!zxIe&1_W7KTSJCUyxmFh}4Zy7>ryuzWQvvLG
zn%7uZ`&|&q%%zUJ$^XMhvgE=jCl_v>+drQ_zCD{I0?Q#8bV-OD*LP@NCIg>4iJ1tB
z7z@^kMjy>9SXg_|aR5R4i6;-zP%bAL-p9QSTQY!E1)^(Vf+Swp*Kc)qt$rfQ>*v@g
znihzhAV8s*C6>`3=qc5}?IQWz<yOlj?KytvYh4HBpVvT&Vnc}vliH6zL%qEUxDpef
zseusUl4bCAH3k~P04pFYYGbZqt3D&HRYGELDWK2M8#F_V5ySQ^AjG4cJ~`Wm(G2Jn
z41D%tIqBTcBQ(l;<Zh)wEdPyp^GyGn)AaV|*oNytAnPrs=<TCz#}wcE!9BwxXX?Oa
z-}~Fv6zT?L5-Q0RcN?NMTxkhZVO|r!DQ&eF4AgHqBPm+&(GA>^T;x~O(>4uOg&z#<
z6I8A3TsVf;X7KEOIsoRmF%D-hI?jqUxg>3KB?7LDBe1Ysk6!Nr)W7Qz8rEg1(O;{{
z%~(lklqTJNA115O(5m5A!8G{`LS@8&?s{FC_@EJ7LR)#fDZ=XI5{z(mN7B`hKFbD7
zFv^eE6Fe{%*sO>S7QC<>F7nS53}l7DnZdL-!LRpe&|IOxaby|Kg!Lgl?Z(5Xxae12
zVJt)4tA2&B^n@SlL9AR1P?%l*qV^zppj3ypV)FeO%}o8LTylatOIc|(ZYHsW1AEj3
zpz5F|(j%5GHJio2<lbeq5nxh4nlT)am^j-qQk6G2O5KbBG5Z)WN9?I!eG5}uhOrZ;
z#I+i_QBEI?ZETX3QPQ7O8W7SZ*VxM{n!)cIjWEZz)Zo*?J2%ZRxeU7=Q=)%<_4GC1
z4KLmon5h+JZlbJ@2QS`<37Q#Z={=9l&W)mnhn=KghO(55ui@wd#M>;s53cCA;vyRf
zTS(x=do>FBzNcMqK-LJ*^DCB~e*#o21Um`4aY3tR_O0fDDnbxKtB8vh1Q)PZ^_$On
zW|0VX4AtY#bDSC~qCCI}=nk?+>H_~8EJzAY6t&5}HWh|JCEnAdoPh&VVmmt#mC%&+
zT38BKR<R!THzlj2q@!N_9r-u(7exl2@}gs2bG3>tW43RkmMpKD)-jZd6F9V3`>na&
zcwV%L6B`f<n2M-GqUFttMlL?m7Af!H`f@Sh#lZv`L!}t+CXds<-L&8GvYGm+1bT)L
zD~%ldTJ1LSIDUA?>$`N-%?0%fc(0>gEm~|+?Kw>@pUA_5p{EZ3Lwng4f)2f_el@f&
z+nTZU$$iU;zO*FH^O*_RDxUAsga<WNiz?Wh%SNz_Md1hmDl(^(JF(Y`;$s8!SZqzZ
zS;;n@_Exgn-+GfGA~Aj4@OfLz$To54^Kd}K?tp=PeA`jxnr!W3S~}dTUmAKVF6EVS
zB#!-Xj4Vrj=<RLz&WR81#0;n8qU&=~_<mCTo~Qb{#*B{%@2rEFV2%8ow-=*O#Z7>~
zFUQ#ZVWC5M2SgNGLC<-XM4TVmz0*nY<^j3@rY&FV95UYfY6Tzj4RiS&yrQRKXW)?c
z_0omQQeU$)P@EU}6Y=(2!B{Nnc=BaHLOkX8rYi>MK=ICNgv_Mbdb3F8riCB(-%Sb@
zi3!yHx_mVGHJbHt6=XX1W0*hVU+RFT%2rlZT<C-CJ;sUI%Wxl6<6*X!uHn3@MOXzn
ztDcf_ml9O;Cpp<zi9cI&hk&wuxLw!a5F#VIit&3HJ{H4#H0JJOS{<e4wpR5frRt-o
zN4(p!=UK3OrI}39%A~?1>wD=}meLcN8hQEgkIbT0qO+G19xnQ~cjmV~8JUg8f1f5f
zI9UEC?d<=@%1v{_@n4gX_l)}Kn5e2IVl~Nbc~uq10m;SR2F;D8>a8^ITvCnxRAN;U
zH1UI+9dPW#vea&pgiwGbivYme{vA+UFccQe*O@1uIFe#leA9-HWu%lHO=l+-f+V{}
zu|&xTPV+ElH`X(vMbbQ31G9k}O|CS082+k6k|W82Yv6Fb9K3~ZbigQhKwtNnMKw-&
zq`<`Vy>oQ-=$-!5Jq1guMVYGkda22(Mw7PD9&{Z}_V!1Y1IOCje7(~}_QDkIyW8ms
z*$RW>eS19hP{d+63jf5pu3ERPmi7DH`o{kJ=T5r%e1k!Dm5$4(VErboCezoQIo&=1
ziE@4}sE@q0PcY?obwaZ)`+rD8j)mnI%3@FjEE(xC^1~>pxI;pxu+*6*EKy6ZZF}ZX
zWIMj}V#hP(L9`fB!Byx~vT|cYYVfswU75X$<wkKIls;W}fs8c;3!;}#jLCcoljc$W
z&>%fS$w@XT9E-Sc?5a`l4VF#YjkPJ}`YTH}iDUh8&~6v}7BCo|!`}%PopleZ9z2GU
zs?nNEciar;%arzMK80<xX6T(n9M!lFG!}gu?><i}wW;}7{VK&_YeSzl1cE|mhx<T+
zF+d=?!RWd>1O9!=LQQA5B5a^sVu`U?(yQt{WudKzS-gL1c6tT*g30Ls@;ak3>5pK8
z|Liaz;D!evDR+kjG2+Rq8N#35QnfrVMPVh$ckr;Y&PTt_sQHlniV=4dY=lMfigdLq
zCvE1AHLm<mZa_N5l8C7`u1-ua`yl=B)n{8=nF-oDMK0)^;c0|%Y9!w6*Fy^+a8@}B
z&y?qszfSMy{?y_QA9)K<3rHenr+>+se!iVT6X*ur0SwK#iV~s8N{M}53>gt^-lTjG
zyEsN}(OZJyY6~zmZR6eiNpc<ihWObZ%sHa)34Xs(Chz?2Lr^l@MS{+-T-X)YYN<c1
zJBR$0y^`;TjU0R`vGLJ1-_crQ+dURx6d}g30Uc%;@ofNk@XVRNVTS>v@jIn|Ch$Q*
z0rxpCtu24_m#9Ax{fP!;h2woG8YGSN=H$O>jwrlB3_4IG%h0uhbs&nbKZSB~6|%a=
zVBe*-wLBAh#+AF=kjJa%CCIUhQ7tX?c#Ceje(l{X8*BAcgyQ$cb$Eapq@aEs{apI5
zK!{v<{m5|7;f0(72JoL^UqExw;ARQf1mZb>k#e*JqjuU@s-5`-cDqclQyK3LJ_*tp
z+aEqTrtVY3Xn;PIe5(`M<kEefm0<TKBF#>>db2YMPJdX74D@0r2mSQ6ITBBPx)wOU
zxcWZLEPzyN9eP6Z#=zv;pl{C{JT68&3M9I{0DNruAXR+#%`q#bx%ZsM?%|g{>sZ?r
z!wt?o93qPVM~%OVZbP`5uUxHCl@6afY$Pb~rvDXC28||9Z?YL;L@bCGIKEUHxRNbZ
z&cLOJxv)~-^ZvA6${!Dc4$VI^us@QQN^!DI3iWC6`(UZ#G%^Pc-&H)QnDRbVmb2{r
zGZ9d|mX){$7s1+jtsn~!0i@&139hZcC}h&NHNpZF^_uOhY`PE<tIPC9bjFt2MiX3a
z4)7Ae2I(6vHW}dHn9vOpoSE8BsaHX3b$DbV24FX>E$0IMcusAdRiPTveXeEdR&>ed
zd7~hV0#z7qFoG}c5nI9`Uz*!YUh4w3)0pZC_634sor9_jq}k;o#!Y4C>ta_v%_VE9
zj<A+nuE<|b^64NY#=I6jU|5Su38o-%;4%D{l|vy(SseiI%XDG)<|wOLM(7uox}D{)
zSZs4pN(iS&Xc2!oAPT`Fda}TO+Z$8`2(d2&LHJEbmfBTUlrYDh#*B4x9r`l}`hamn
zDmQ0G>y$TjjN^>6!_9_Jn}Em}tDhh1zqB(>Frd+=j~?bw&B~GC-QmhAq0|}#5F(pS
z;B6OJ#(npSFF^GMJ06ax%srBl#joGh*F^HhQt~)tBsX;NG~0w_b9YJ>J~D)Q9<Twc
z&<qIzp!lZobpovMF8ewB9wzMR#vQaBYl$#!x~so@LyH+<{7zrSc{O?s(MKu2Vdp9c
zrzGevd4fG2l0pesP~E9Z#!3*+FZ|u@<B$qOe&i4$AdOF{Pc%ATINR0}AM7!+yXRq~
zB-6u7Y94Q<cYMfBS{DQfh7Zt*8>c~b?@YUDeJ@-OAZi{l;~n=Hi?{{z6&(cbc1%`G
z<9(56e#e@RK+Rqe2(s+@gC4b>230+OL<()LY(blD8S&0CI}c@Kuw@0j*z#Ir<pYEL
zTdQ+NJnny_tP+TbsBZLmei9!hN0Ygif1rZB8|wGq=3Q;FW#o&#Y>5y`H>IAy&rQ7J
zVyDi0EV<&T7^r@@5ac7dz`i!S1}Ca72`2kl*y6NMK#=ln#mu0ri<MrI+JI0hj;oij
zRqGA$=clZ=4_~(#`U)=e8W!=DKt1KZvXKOi-3Ys#t;bHL3JFfR%1d%vGkHk`7+DZS
zt2$lyTb_8djzh%NXZbw_^DGTp2VFNnBjIgV31o+i5Y`Upmb>oU{>DGQ<u-;k4=)F&
zTIF%``&<thDdw<*(XBmx*aH|7n3jDsOvYa!sx<<*Hiu3~ato-q;U5*S;(1~(nZC{=
z(idymOUJ&sQ6{dNW_|bS{$dSBxhoz6hL2wAZ^rWwYn%8h`kjSFMh}JY^g%bwU-!pi
z48C+vo=7F2S_xFA&;{x&^S=)Ft=T6{@kaQ<Y}7HjnmLRX<+!(CuWveovVuWi;boC*
zJ>9aYA!_~H`nYGDDE-D^%2dGZ1?T>j76YdpeZ$@u?3z4q@tF9DBkp+U5~B!blw{so
zn2T_NC!L^i$b(60w)@Tj55uRi=zq|k$(f(gG_x;}SVpdT((~;x8im!if=`X>MM+or
zd?F7YcBKsSQw}EG*%>P_l|2$NiGRb%^|twm$ZC9Ag{=0}W$ARk@mFq8{||(FPR9RA
zEBntV6%*tCS}d#5&~@8jL-zhxVyz7CA_uw`L72wQEjuq8qiuI(E5~*PLfen7^jAf4
zTyMqK$BcoHmNT))MjZi|gBbucIh2KUf6BH$7mCtd!rQ@>)|H}}*sv*qqPr#1W`Kne
zHwHW56q`7g@|vJcx3Q8?#>CWZv>N`J2-Zh!x!qA@qnB`<8F#6kZ4cBSKpk*eZ)Lq9
zck;BZ+CrkWlu#yfFi&^Z)}7Z(aZzM*(wsg@b1kuKTfI?TdYr7+XknB3La=n$QW4Ye
zLbkOYA%&7G4afbo!I4EmOm}0z;c5-@iy4obpDCRx$@8GBm#u{8p{OF0o!;IBE9L~I
zg{F>r-{pfre{lkPsRiNjJF5Ye=QmT**T)^lvXzc~{7{=as?;+%NWg>(h`15XpZBBq
zy`WtR{J*7wc7`V>2;_4Z45J6Z{7JTO9kG(1!#^{-`X4_ebXF(Y$3GXxt`kDHv`M=>
zc+QfUC24jg2^P@F!u)@mkf?axK`z`{oD6g%!H%I~lzYD2)X9A_!)pJ;70UD?;bbut
z&6{^~z1`!)NGbS4awvPCZ+R}Ll4xch&1#FKkpJNNmoa2Q<$bCMnLIk8MO))u%q<$r
z{H--W%jF$Y*=*J3k{hf!ydy10zNN0;mL_~J%Wu}!I9CyEu@Kt%g|WW;g+;<X)LD^{
z9Ob7B-De#CvioX4z0u~u4g4#KDT};o?;@@Za6D#^D^|=PW7QNT9OVhUp-SehQsx6?
zZ@>z;p0WntH3F2S0myH4rXUfO$Ye-n01i0MtjaRX?h8N|lnvaU+CTP^-+R1065Ai4
z6|dtTV9rsx=vf^DhJyQQR(^KiZh2;i_@m(K!8X=sTr9qXl8Q--g1}M-+$)PqB7+rU
zDueQwK@Vz+$;}N@(69X{IFRi=v{q&{Fa~fuMLvN*z8Cp{iVT4&Y5I{W9$p;|NwmdQ
zZrtISJipU0H@)Wwf83FY^<aE!2{oYRg{jPsS$fgI`1|)3(c-bg<wNI0Ez}W63K@yJ
zGr2!R(&W>t)_lrzPIk28_v@*-Hjt_ME!{fL<?%GGorz^T>t%CSk#^4`9rE=1yA63J
z{(v~aKFh{<7a0jW7bxA6UQ+WK5ajy$`p$GW+n0TT`58EOH8#jp93s9QhLCb`23_;i
z%5OKs%=5N4@O1yX7i9gy*fMI(+Kc#$q)?xI0Ytr)g7KVZS2a4A&V{}U97L4UGGy-w
z_w14|a&qMWYFgd{ZkCw?C-+cYpy-g-FfHdUs~3he22N1GLp`@FQza4Sa8~%Hq##dl
zBiMY(6*XC;dm^#N+z_;GW`4w;y*AGg`|KJi7v*DRsrr>n7>n$jm}EkFkB~XeOefj*
zpb$g?h5L`VI%uD#81iQBp%5I=s2{(V@|q`;Ci~%j8?7)2lY@Hbax<Q0mEZPf7Wq)u
z13)m?N;{thF-258C@!LSdlNjPyn0y_gj`8xL;}_zOx?Y_?=hWYxy0G!B&Po1*Gl4D
zUQ~(NWhG)%hRMmYv@|l|ne535Cq6SNvsdfY3CCl#xxsG^or~8=x^QlFb`avGa9^_X
z`%e}3f2gJq*{oWXE=*J9;UfTVR+KEU#ytxJ7yVl3G(O^RsW^z{%T6%)%xk1m8daQ-
z5l}49I;#@t&o4fHPcQT(tH;o=f99~8w3`nZ0#P%65sDr0p&`(FbFnWcF*Q(~?GaNI
zU0Q4_$qwh9kI_zN{~q87*_w#uWa9==TUtrm-a5fxGX<4L)LoL;i{5wJcoN0{;J{Bv
zt&QrnN#S|2UgXrPJQoePusuCLTn7E6sqvGq+gE2<P~C*CR~hgy9VHc4@2FZ;N%PY9
z&u<3vZXIC(zl6|we!j!FZ~`#txe<ZYbcV5Ct(Nq_Kz`t-H=0H*^aMc!y9_8QU|}qK
zum-WFzIdU?<JI_~tG>ZeVLNo-SL9;(y~)IW@Tz9;h)eP7AYj27!pWj2+13jJ(Q@87
z>waejL`FH2%9bGDQC&mO%P5q51O)myeYgGUG1*+c1QTAcB$J!C<6huBC8jw$Pv+YQ
znMO+RlLIl6-rZv#9$Z#=pvoaUa3gYAI#RM-!gWZ%lm^^87w)9@ugoAALEqGt(-Ch7
z@N{N&_jm=*z~Ui%*J$8UkGLlu1bm|CIcO3^2-!Ybp|}Ch8+%Cjo=TWqhaT|RSn%IQ
zAJo0ia4XvEUNl$%L9s9%yG9p#%h2A7L(8H2QTzLfl5Z~uQBr1L5Q`^eJomN`hrZtn
zY%AUK{fX+>C_fRw@FLF8)UUU?^t>SLF52NOUHfRP1nef9rM0qNm;slSW<lLS;t2$d
z4*hb!Po6AI_Oc5Ow2|L21DOrZ51|N(s;RbY&ld>DW#;$P;}(_u0?2<v$sSCI!Xb>`
zj9|csO4m$2LP+?QhUH8k%Kgb@_G@h}6<Xu{++k_G{)F<bN-~s(?4urOKt?vi4cD-P
z^mtXW!&NanxKQkouU=Ze_OsF24!dYjSfN0hWWnx5@7lTA4VzmpP)Z}{`5TYE1WAZR
zK$~V;hGzlG6XP7kw5ieiY$AS0!V7fUuJ}0#v~vYHLDgv;cNqM%xJX~zUQo6lBr4+6
z7j!oZ&vkg{E_svDq8#Y9Lm`6lnvj*geqX`E3fPBF_-_2#%ODxW5iDA6{Q)fnZrt;j
zNuf+4m*Epl#>WQzOY+h_=jc=V1&$o#rn}6(#e1~n8VSZaq2lW7Pe15zCOgWF;ILV`
zzzm}Iv)+6OZ-ng>Kmh&QUbfLgtU=yKUC5*7H_j)Y7ZSvryaJ=YXE(5u%ti4GAp?{c
zt-nE-O!zeRI(nxs0y*3;OgyeV6*?%PhtE#ZxP_c~&l3T3pYL8ojf^t?2wS(lJ*}3>
zvHMDTflkIx4v$sp!CR@>uRLT5W}ri;!!Ahz_NVB(j*5gI;O}Ybtp6_ia5Dc7Wr~c<
zY;6DAC1IEP|AA*+sNWs}nGr+EBahP7;jKh(an+Takxcm~oBxF(EhjmOyb%8R*LfG4
zj63YQkroaA(Q5>Becb|6XO3TYYCh;ApsycIW*79Ars=Ol{=~(oqa|hxa)N@DAaev?
zT#Sd}vFHOaK6Sw;HFj!??@&6UQj&>+jx)8V1PNz(gJ?5sdk&?NtdChb)GN@@BK<$6
zq=Op9Qt=&*ospr09=j&babXmv|3lZAY$XcIl-fdP-%`q+5_L~Qd-#aK9cfPUK{?$$
z+8@h@v=*x5gV%>6Ns<Kf$-Ru=CxTYG2NQ;=^?V_H8lt79k_E?wMvtq^T#dZFz=&NT
zr01>@_t8Vyc-x^QZP~Pd+zt@=a@nqNsalNjoL?+$y#pD|sl(|Bws-mMwml}S<&HP5
z<hnXi<!RTS-IyGlc_9<iz2`*anU-ria43V`uDz&I!J<6nb$YQLzAWK<Z8JKp?oC#&
z?<zw047I<@b~&hB2e{KF%LCM&y!x?@$l}fpr59##z!@nq5k_FuDOzF2;`1;u)-2&!
zNs~wkEDWA`-VlZ3Z&KvTO1ckQAxT5a8#;AW?l8LzmffdZR6R}8X2KP~l(6hml3HYu
zD!b9Hh*QyIl`D_+QcY~w5?#_DsYD3YAC6tyOOrjcG4vb!MM&bQlKGM+>sXS>;%~q?
zSZ8LahQ*}%o7xY=c;kOlE_p}mUmwTTInUcubQ{CE{{{`Xz@o-_$@C$vqH<Z;c#Gz1
zVS{P|I}W^n@A__BxbblOJE7Y1iSxvAsN=>7v9zXUB)BO>BSBQxyG4!;DpPr~E~;yD
zoCP;*qTCGT9Gw-79Nwr=&F)Rj=y$v{$*f*|Tzjvi)FivIb8db0Cy#KXBJY?;85%Et
z;;2Km*%Ic_H_&E|s@^qNRc)2*xTQ2<@FkMWZEFx}VMrm3LfXZs`NH^$e&Dalr<~<h
zi=`mlGV35&4exqz2C^gj-;ul%p}+xv!LNY;?j4;Z(FVV*pS)vhOD~r(fz~J3mVY(V
z7n=ln(chSNyE;(9oX(_hqA9E9?YQ3WllfScSt5~AR{3_*j#yBZQDD`PbYeH)!v*oU
zT$paziAUcN!GFqwC8diz6fRn<UWzi-iIB%pCR8jP_n~o9)k#4swSteFDjy6S1p@Eq
zS$UkDa9B#VY}r-3BPJ$lOz;=K6N4_@Tu)rGWq(tQi0VNsZ5S-<6poPIZ>{m0Ok7qF
zEDAbdR)@M_0*1hNz_HzFjU#|}Kqo^=Kp9R%^)MPbq4t5EoO`r=J6N42Y-3;~5TE<S
zQeUsRC~(2)^UzkSBL$zpUzV4UNl^r%-<$89(`~T%muWel3!<)yZ=Q-N%&KK`LnjkB
zv#-h6As5;$(;d>LPQH)+@zS-A3>~mS<jD{4VxHw^-rGKMK_E$iEO@1S9o)0cD)wja
zjiq`QenURk4k7R;^mgJ{0%I44dwm~5QKH>z28!FjWs5v?3>N;>L*24~S)vi9J6Wkv
zeO`W)1RhJ?@?!AWe!~8`<^H5Xb|v_X*}dTN!0<-4y_yZ3M1NNhc_iApS@wLih~aA)
z@s|5{s$qEV|2PxEY-qXXV;-s)jeQtjA>Ml|zbobHkO4*amu1_uWsD%4q(;pJbb$q7
zdejOh56D$)NykB=+BFcM;bmEN513;FHXlKX3u#~Rk@T4R5h{jH!voqIN_Cwtq&pFM
zVdjURKn@{yx@ST;b@8&Vfsyf;?r5w)ArW#2H5c+uGt^fnlLt&{09+93PDQED5IJ0B
zKm_$0-|?jivf#t6u`J?$U>tI?{MSOZ|MPpw_%9;N`v0P{nF!e#*%<!Q=kd=6`=6hL
z9E>b1|J&C*su4^j(F%i2Mxw--InnQMmXL^ci-?zjnPCtXR@hA%k|Llmh!{_bJuJ~V
zG>nB}UiUt4<RSZ|^QUL|rOK@8#N&B;W&36O#aovhBBB~7hX>OTMp3X=(M!NbkkT(d
zIe=0Dl8}O8lAeMhXr|8)QkYZt`}x2LQ#kgT0aWL_2Qgd%64K>D892|@Ukj2$U~2#i
zfC>)ymmAtw3J3rY2?~z&_(K+=3P2q~fq*o=0-Zy04C3VoBki3B2CZ@D+OE8PVDy@d
zzyYMB!XLinAVxa`Vi~v*adW|hI0bZU)f+)LL0}PG86d|`^hsL_@f0Z3DS?3K>FIr9
zBe?m2E$AnvU~U8QZ~^a#ZjkdRz~G<QSh;YH{-0P;1UVoErvRrPY6CyN{7wN0$lc{V
z*oMH~EjwkNT?0sD`wp&N0a=vX18Dyru;ovfUYOSgP5>eQE&tKC@edVf;Ex>m+8U9L
zj-WjO<|aNMm{S<QMV0<ZVTVc&0EPGg4#?a>YI!4+N1Vhm_Jn!e;)2X2u7Ln-$-SEK
zxp9+Bq8&}&z&m}j7WCFIwQN+vLQoUy=n&c`a(~x+CmKkEZC!PLKz?%SkaP6IT)(t{
z1^4yM>i_oR)d7p#Wnf1LOP?p0tb+L=$l(PALqtPGMa4(}71#tI+Hphp>%(Baw+i_{
z`1fqKFoV9f5$gcWZZHx8F;E;n2i}~(-v<E{BoHM0c6=eeZT3L?0SuGyV70-k1G}$3
zDm^a3xxQ;HCow@DAd_HrXAq!}-+#Uz%seI-7=W)Y9}qrYkYG+R&(APNA3m|(_yxhh
zg4law<W(?x$w{C=0sj5*00%`uf!>~r(*OhCcf?O}bvSrY0LhQ#i)+re?b-tZMC&(X
z5YFw5)_R!su@FG#2XRYCL1p&(8SK-y_~Rz=hd=qJ{N9)J{l~R%fA8{>d-@4u_Xh={
ztvA#Ao6t7x!oOYBAAMg9=JqEzUEn*u8n_?pvxkut^;8Y!-rn=%$NJZ#F4!>~&_%z3
zE4=UA5q-}beIDn)E~0J__vOkG@Gb~6^tb$_ny#x{%Sz}6ExB(fVaxv8OZ>P!H|T51
zc#y~tfRF_FFp%C|nv_UU(U0I(E!rUL#SR?=^mPw%(FS_gwG{yP*MR%ul8-C|0Q&mJ
z%uX&O5$L_<N54&W0FM1(va6f*mB}R(0DS8gLka-i^ouD3dcRuUYJ9GEVn?-?zD*ae
z7<@N+Y9Jv8ag0Lwxr1vx5wBnQI^QalvbQ7bY$QxGe@~GlWz5*2ukAYsMkY+^#$mmq
zc@XDpzW6))h^Ae<?%_T(?WhT}%BlR0*IOw1NqS=bnrkBaOhYQa-ecFkSJjPlhxH0U
zSox~i`iv6JWWbr-Smbov<RJ-jc^IAP<SYN9?t<ovAC{@Lpk0HwK-fx!f8c3}YKEl5
z&=+Tw!74cr9<~2_uuH!AM3%|Hi%Bk-*K45iI}(C_cSL#5i@!lM@AW})hrTF8==!Sh
zveA?!GIhilq~PTfl}&lEtmF%Nhpbe5xI36hOLl3jIo5AeWV^0$N($ozf&OX1s{vk-
zhD;MHN~U%}`&i-h<JdZOOG-FdnN*L#6|T`I>ZW?7-9h#UN1H9~FKohvtB}nFv}lnF
zpPMN(|8e|)?N;QvOd5Jd-qgi)JS^@(rH>EF<Lz2xtPS0G=K#W?Y~xlqkxw%L15YLN
zh_{K4@vFP`vOQ>2UJTqL)M;=07huEmBT3TEjdLw3friU_Zb1<iZp7bBe`&+(uN_yD
zzRg<j*p#MZO%6ZFphl)Ev(5u#4iH9$u-L%@UeO}=uG>2+-S5>P*n6reeQOsJ%GLNW
zxJ1jmP~!fb2zAr|0XwDq2adDzg3B0aITx&=kaF>e;cP@N5OoT_oR64tw3tf~p8ESg
z`JzgCOt6N^O6y>zNst*NUA8gD1el!G$|ohr8FV=YiE^xkOXnYbTEB3j3-|JAm*B7R
zypn`kafg$Mw9SrJ9rj~a)CUqQ9~Ub2|5Xe8l&AALG&vcs8I6f#=riU_xKA3XdwORP
zl^h9o-Rc@u{^NLom{}>kL=#s@Y_%^K1uVN0l=}bU52$2Z?QiwT;YcEgt-M~NY#nV6
zO4%SBqP7%Ah6*cw8lP&^%+Ffe{tmqssZ<pN$m;Skt9gEaepBi1#n#My_07oi7vcDm
zQ^(wQl@55VJQgyLeb}d`{w+xcf76dtTK8Z_SMGW)^w5+UNy3*RvmwL##g;%<e&<2l
z1?`<V@^W5nDP2v-<>rZa?_i-6x#$cgnxl))l?1G)Slya_XFSTfyr>mDCMz7$O{yqc
zd?-%C+yE<v;md6);=b517~8GD3X>vX(>N;Nz8-O7wGl+l*%*M{xS}B24||xER>nOx
zMZ`s52kdat4Qo4Mme`b#`<qVy;pBagvt=6hz8>VAF7i~0aA*3^Bvr|BhSeqy^v`Mu
z%$F@4Onm?CFwuP{H-Xv6`h3l*?#pO`hL{G{2?A-w{v#06z9|HdXxhWyWFGDASV-*O
zxDSo;?#`=ptX@?wJ=Kl$;hjYWIo^hq#>47y^NQJQhD;@K`&!C^tqJP-893&r4(UDY
zMGdN8g<fjoj`;nEkmIf7boXS|Ak^0zpBma2@HH~O<bCVvpqsYZ?NjVc_-$f>lrj7V
z5UeU~tWU_s;XF8O_th2NwPek={<?Z1%!y<y>e>2xV1F2}X;^}qigP9%yH~lFkv3W~
z6Nb~Q$Z#b7k!{d=Dt<Alt8`(ozbny&Uu#T;)7vv*;e=6{*HU}&6a`d|XXGa^X;!8^
zsoWo~t7Nk3#1)!~LFq$=AkoEeO|dO=RxRji30Y`vi~Ap`k#?Pm)uZ{ljiCd#-AE{v
zl$t&$YJ@((%8MBGpmJHsIZK9C<sg^<&BfltNBH2njHM@C!qSYwjUY(TT%_l9Sd$qw
zv<W0S$A~S!<b<)#^Lskby)7#b3$|^oCsu5bGb(-1poL1uR~rOk({PbywHQz-MJ|y@
zO~==Yo0q5h>y}Lx`XKAiYl&MjG8<Z?OA9Wf_N(Y-JFs4O_4pY1>76qQ!{yKfTIIY-
zI(C^Jn7GVDu2tX<^_JtG96TJ%W7d<|W8Y5YCJKy#^=1dB<U{nB@a<aA)omlr;71qM
z))C~gYTlGREGAoe$X+qUabQn?n8G>}uxA%N#e3&7KAj&DzR}WHce>0divt~w9_pB;
zVinL)wn&gVhl`IaExtohArht=W#`%r(_O_DwC*OY_jmeI=2Odm_fPaS)1J<?G01Qd
z@-z--lI$FX-dNQ09bs`FyrLDiIYx&OcnpfG>w5zwJlG9-xyup-6I!uWKBbdjgcce>
zKKeDZ@wpFd(iT($QuwW;6lVkbC~gw(#3#D;n`S!i3*7a*DtU-iFJa#5f5X`+nXHZz
zA+TO&7_d-_tLI*8yxf(wbe<B`n&AGydwQRR&8$^FL`;f*<zw3`sBC$5Roo7^kP6^F
z-lzmuo!ZsR@`6|!xO5m?D7dT2?5AmWZRC7{@I2>1r+XEiggtLeF=EN#<Cu#dk#7r<
zs5i1g0k%#Y=9<)g24uh+>G|A~xXv@d9AyJxfsnMDhrj7Nj9ibrc1+0kd;%?<9&=KG
z)CVQ<(n>J-<@B6sK^c2u8+*U_6p|iPV8g89!yL7}6Vf~+X#18&a0wJZ18l}T_MLWi
zakDsfNwAA8X^z3lg-i5|+&l=*C}q#BipA}UINOLyzjSwKzk-e)yzlrBWV4Qmur_l0
zdb6l6=+E6(!t*R0=kq__G(bawy05{OHh}Qc*(kM``-ZA2_iI?RMxYqn<k-{U)qeFz
zyq*G#zTn}JcV182*X^0Tch$p<4G^cZbmf-~<ct3=#?Glp6kuD@&E2+b+ctOGwr$(C
zZQHhO+qT_zpP876iMaP+9xGP<fU3$ba}~RFho`PU@1ekY<mNEG40kh0hIg3TYyFaP
zQv3!I$Xnm}ZF6NI=Htx{unX3BB~dq3++vFJW~?uIZg8gu2jP~Zs%fi-MTn9#R!?~-
zWQcL&)|`}V<t?bOjI|n+!3MDvC7aKu>pVzodD6fVUi@kN^?D~s?}H@K6GUY^WZFVq
zdWkOqc&$?^(vcmE^;9u|rx_3~$DrN}$_w<$Wtz0hmM#eleiRVLz2IH#s+Yc_<I#5<
zHbAjlbd#tWud>|uU0zLjvu;r@+Fmp7lOAJb18Y8s`lBQkb|mRO_CV+-=~=KrULR14
z>9808{jV$G4u6Tx{4Siy$)O~{`bf*`*UU4^PQZaV=@#_WeY1F!>&pcW7xL8N?!H2N
zy47QskW2ctjJSeH$l1z~qDo<wprbPEnVloi?7C5nX5uqiIC(>@ZW~AXj6lg)FpocG
zk7c6|3gmpwkHsvG#5BiDeV=RMVU2C6Aea-l(rG`qhaXenXnN%YHF-ruA99&kW27lU
zRqmEnIEiWJ0l#dcO4~JVycvzh$D`wgra`bql??%TM~ty3eP}%N?`|-km6&@gyUUM~
z8Vmj|e6~v<lQ%6J;Lgm7B}rsFeG1cX`e3TOFPR&Go6d37vZUlFeZAngHczu|Y)}11
z0nrp3*ezqxuw8!hjd<Bs+KYO7%jatS+az#8o(gPm9Y<(e;OrIjVwYrS!}_KCzn7LR
z=0BbU&lpA(UN-Is;6gGe1X&y^`p+=O@~-{z4J*ToQ50^{I-v7%4>4`_1J~)9bRO4B
zxgEO++J(v?uxo~wb@0c;ZaN5^*?pVYQZSp-E5Ez?DQFO|u5Xo_oqGad4jKNAJn3TW
z-sapXc#OJkP$_*G)e<9jP;KFE*f^BW=iZ!5el4MTx;4AVS?XA_E1h%fx23Q_oYHT+
z5Z3njw0*!zwBhF;8GY7$=x?|fVH9YK!@JCOvWm&>9OwKs2i89dk(vq@@T%W8{u{gr
zjd{l7QHV`#SwD0Ov9i<q-E@|dF&?P&2d#D#BWRkbB?H7gjk-<s^@4U{Mq{Me=n&|y
z`A~CrTS-A}S3Us_4Fz)+g4%Q*$C%>*hx#tpC3hU>U6%uyWK}UGYSJY)X{#FI9qG3d
zD9d~eq%5^+Z0bH+p$m6Lb$M9hVtiOXK>}k`WKt_V2Q)bibR(j>F2DvHQSt5#11pj~
z?$UFqTc`1|IF^~Jba7A0&D9n;Fn8jwO9f*CBQEB~3Ev<TixWKLspNMlH%g2;oWKG#
zdcq&xmMUFYd}2*z!J_#tBDyefD#>&Z2E_~}1iI~`XWnRLy*hQu7bzD>)QO1iL@{uB
zf2?A>H0HmK<KJ!EKPn)>8|V8T_tz}fS~Y5;8Sq*x?LJ^eLVvc!6<}Xwb%B|v=?PBf
zO%GGF?mHdd6fD8;^GDbm3XdKieGoV-sVdeLYwhrQQZHtlX}ixHz^Wy!W?Cv(V=zYf
zGh>!+Sx;wLZI0o}@+CK!uZAASudy|G_qetS22^0^^-O`@k#cAWz)LN&x!GO28O3X<
zbUuRe%DrS^bnULIPz?&q#6QsUTzvC0Gz9F`R>WwvM?2tfD%Foj){~bU9=J4*qp=Mq
z?ewnG?swX0Y|$-~{s@Y|TV;Y5Sbhn3GR1WRpvX64k~@3M9JkJMkh8?bW~w|o_9ws<
z=&%_|rf%7yF;a-V(|%g?<=-x4hgy--k)IT7c8u^GD!2A~UQ|ho>cCgbfrb3o_&Nc+
zH~JTT@Qb9qOyn^0arqLw=;WyMO`Q(t>|2qP>VRdIqOOa>)m^QAgO%3(ard}f$u^Vl
z3W|6(%gA1=cNr1B!eH7Wy&Z7Oa7fT3=XrPBcvN<2u_mm4l<&>$Y*Qt{nmlesrOX)>
z<&#2(*a*mWz2oSrpSrFj6K^HL9tL_GM}{CJKUL4=Yjto?@#?)4T40~;ze`N_3<B1%
zWGqi8C-M``7s)tLL|qbNs7G)!J6UPaW*&uBoQwq5_sy(cvrV(#<*I6%d}weZ3jPek
zNQsV#L1dT|XAsS-b5f6lWxy5lWG!_}M@H20*_yJB{qwo*=iApGns2j|Z3tV<%#4x?
zzgHSr7g-Pi)6dfJ81%X%;H4@^C2RD?1)OtRQnWO|znpL=i&k`MA95qljTL|Oh^@7$
zcN<uOa=BR2`kj&ejMoU^B|#XOI6xU2BJx-CpQ-RB(E5b@3M|o=yJ7EHDhp()5~sYY
zMoBM{QPU`f6q|XF*HMe$yxDK9amcNb)m1*kWv~L2EB%FS^5@g#6Qn?Fu@{crMhOEX
z>U&Ei_JIW5IW{W2N;_IT!=Y$|N~;X=X?pI-F|n0@5zkTYG$#3BnN@D}>tJxt?D^s_
zGUqgk<t%&~T58KMgvg%=(<JR739TbQ4I+Q-qC?4FtHD2E@|E)ujhic_+D6TOuuh|0
zvp`CO?aUaPzIjwoV55lXHj+IDs6M5XyWaotCC34)pU^=0fFM>TN8Y;ri@R!`x8ufc
zN^=E4pV}%v&AR#9q4A|;pMsN8^|<d;uiN6<?RTeUH$OFpBUU}?<B_}7!z(AGI25Fl
ziq>wYHb%qFxC}ENN+7?7(lB^FyWwJV2n7*uVYZ2=3`%#`$UJUDd|uPXtFTXDOQf0x
ztx5)?v9q6pX4dy$>4vO&^K-v=3$xSDdIvHz+s9e_2=QOOcILY-Iq*sAFC=6*`iZ+W
zBAn%5)$MtohTw@O*K0k#ZBz9Pid)$`UT)~)mJ|f)avh>LLLON_IgH)QgamI`GL}2e
zWgVrg?jMGjD;%rwGGZqQSEkdrsEkHYHz<X?ZS8haaW2-!M=0+N_olunJQ<-jn)%&9
zb;}UdZ3Z)#gE}xIP*zZqjT$S9G^r#jjN>;^+`QbQVV{MWh$*gpW#A}&7d<yD^qGcc
zRV-sk7phvK&3ZSGEEES(U<!I~BANFUM{teidPZsTap|j!I0&MnUBZI$!=nIR^v8g}
zd73r6E*cRA^ov$UIkUe`<lo>Gc=J;(zE^0~O4Fo*cBmysV3ZAZUUH+bvt*#Y6DQc%
zOLC-A`%cmtL?F>j*;ATSJH?`4GXCM=wY=K?Ny*`-B5IpE5}CfYR4{#raHywg=2DyB
zE{O07mCg|-)Kqr^P06@&;-p;nx9)dt?-&B^nU0+iyHX5v$A3>edWd;B$ZD<99#ID^
znb=xGlUbGKnUN#vlexNv44NE&z(kueZ>NJjBEDuWz*bhiW2!3A4Q$4*vzD!PW}LG)
zYqdHM<I~)0H3EZm;h&>Bnfc<8J6yRr?8$SYaBjIFWmg|Gn389R?{0}KxF)N2HSY=#
z3@ks0k9YYNs9WN=XdceG7<~sI+VRRzV@j}dZylKHb8pm9we=@I`?<F}*_n;XQ=jaI
z20NBShyzKTwYg3~8|`|Nq<gyB3<UEiVxK)MDtR+6D!T5)l8mDkfYQpEGeB)6=-u9Z
z!bVlAW_!e1DwmS;%aflpNybJCH*I$<N0m%g9k62-HVzALo)$3DcO22Z2vgV#7d!0T
z>e=-fiJxXHVos<Lve#6b4L%_O7H2T9DBF8p{9Dwpw(4dkbRIT0v*swm%5C;^Uu`Ie
znY5n+q+Jm$$zu+&q>_Q>c8qPrgsX(4#xknd8nd&XBgTen>h;40?&3}<7nH-D29V5E
zP15*!sVyDlXwLLC-C^dvAR@1yCfiE2P|1={iGlIMe?)t8XY%CUYGkJQ_%Qgm>>Owd
zfhy!d93N)Dh_BvU+Lo4p!AFAWOe%r2Te9z-bsvwxmaFkIal1DiWYZ&aIvJ_dsAx`l
z4c{9F6F6lvic=Q+Jpty<a{*a=h1IXP@hHAHjuPKj$#-oIXaNCS`fb(@F9S-Dcckyk
zl7{s&(GScoT!x3FK23nLAHX1(m;X90FgO^PIs4BJ>e(wkVhb*)Ic3@EF(S#-lRCc-
zNG=;X`)dQe@QaMNrCc2QVHYItacN*GgFHB!DE#|8sKybV%^?6H|1+Wd<bYOW0CP~5
zaN&dlZC4hua>|WWvly*2STRQ;VRqtDIZRzGqkB~j<HVXu8tfh?yd}Gudh_N{r#0C@
zH5}WH!k*+3;#qse=+H6(e+!yH+TCK5Y>@{IXI2K9L}kZ-vp%F8?Hjlo@^1e1heG{I
zj&G}TrtJ%JhjBz84}qL#_cpuZY9DyPWOKE#Fa_N|x3M%$vlr%DZsl!}ig9DCO9-l~
zzPore<HZqB11FkE;gIC{7)q1xo@Y|JdISvP^>Qc&N0&y^+#CI|T?v#8+maDEtiJ11
zZ$ZsY+iN7V2gvn0&tL(XS^nVO^%sOy9)-&H7I>(hCclpXrGG(g+IRNFUd+o$$Sncx
zuZYBlR1k^`GjVQ#54)sjY<Aa>)Vm)aJdeO%L&R=hTm*|3m!p15I?da`6PgP8l*&6e
zQXtxKJl<yK#a<;Ht3L%U<>biaJT&*ghRvj}ZdF4vrXjL8I?l}vN?0J}G!~dEy~VKI
z@DC8jj(sGf6gg#kwH=Q`3oTnn?|H_5nLp099SUs)3B3>5vX`ea{-7<K#MA6svC-n<
zh!O-06t>+pofF+uLrX?Xnz<Gvsm(8Ooe^(kw9F8kYp9&eBt7>B&JuA7R4P@wrq%2E
zLc^>5T1iANo;u%j5%yKUYvcNf^gS1>^dU9pc+D9bQ{O6dL1-M3?>1MN?Hx8Q#hewV
zZB$DWGsZhL-!?hTPqn*hYjj7eoSbfsDoG}D3;LZd2yK`y>}J)x&=b00?w#}&<9LLl
zOL{rKuw!@(n9<|hx2?3C-xYhG#fYjhKWa@D%tV!<P1qgegge~&V3MRLD*%(4HMqW4
zn=kwE#7iG%J!8?fPqDNhoZGSO&HO0sg9S)X8BPq@{$P7q6%dMn`N-1PfFQsXrT1`*
znD>U)Z9mxL2yAlHJy)s~dGJhZ0V9sgyR~+3rR+TX#YWkg7%mf5v0Z%Nwv_a}%AavK
zv0%(y4*SA_n*mP&gO;9q5q0@c=xZf&zn6TQ&RbK2%Z$bZmc7gNiBy;Tn_Q#xLcZQv
zevxvNgnPX<%hLO&d&B))x>fq7lZW)(qV^y%-o9O8p|u?8y(`lt)m!sY01>AYCdaBo
zZzJs1`t&wJdUJ9CBRRb+nh)P|O>-CbEp<*wg(t53py`=rWUkW>;=##H#G80?FUg%_
zF})<tm)twaCR4<sRck%jJi&|S`<!xE8=7wea_9AJho}?7hM*oGV9~%y7VO-n4s9jy
zm{DC#sMgSFhF{ejv?p3Kivx*xwUt|7zK?vy;XA(e`yg4Ob1!cu^mu^`Y>aj?Pp{U(
zUf6nG`!|0sXYjEODc(JnL|q8_kQ!||{8Z>0>Xsc>Qua+L3Sw7PbLr)fn;|-`U(UJA
zvrVFteK+3w6pATvZ(T{*I*#jbEPO4Fqv>;UL~^<*CMSH-%<cNF^oqsVN44Qq^slw&
z6iauM_*LIzt)%Q|TJB6>Xz7g+w=}7&Wp&;<$3x*-&&8-A+&`RM7)d+W!#SjJiZC!U
z&sNZ&31R+pHTrc{5_MU~gRx9P9On{m+bptB06ljeSAA_YgF#!I1!eRwL0x|?XHyuW
zSdv>}iGE16;68V4=q<~(3PMZxa$)qS<Hc!GZ!lYQO*Mhtxcs=GwBv64B6+fd?NDr_
zmbkMG#JBCR>DxZnM>M#bdGd3oMG+fyw%CZY(f5Ik0vMB91i9wsL7yt6ey!1gIJT;s
z5@LE`6{?u)wTu5)SGQsm#$0bnrYvGqNd{R%Yxu(Ta6z|g+`H+c(7e}6<mXcT#DBLc
za3Y6N(Sb;uKG-kgO)!CT?nCt3-O*%Wl#J6tTO|w&JbCbd$|WxoUWcMXo0pAoQZ5&U
zS%;dLX5EaAoaZKQN}1k<bqNlJHK}fRv6)-jjdm19o>6Yh*C`FjYgMcr-|v7|U5(dz
zhuz5v>`dPTAVOxT;FDMNq`ZrlMP0{yE0?F%E2Phz+>gSP8#Xg;%|w)PH6tsbccMyK
z%|D-54MfA>QQlMpQYxA8Ql&UlZ$db?Cg5rK!Td`LbMnNHDLIwU0V4!0Z3J$qj)C&Q
zuIyFuFGY%EH_rZvfmz#6AR&<^3NnC?!;!^S0R}0Ds;Qh$cB;qXV5;k_t;SJ}{{!pd
zYfn_KUgbppxEH=j95sAZQ1Lj0!p@mVb?(!_5rjvm9vDpyB7ycXMJ8>%CE1Ro<7A^s
zN+nGa>Smp4X$NA?JHv9On@+hDLFD*^4slEK*mxY9^TK<Y*_lmh6*GH9K#7ulZ&#ut
z^7p*GGX8GYROBDHT>EbGl<U=0kfoc-d_b~z)`hbA>$!onlHi-#4rX&)Qo2RijViSe
z`z2BOXk@frsmh2*ZaD*FZi*LI9yB_st(+t4^tGrobyg1fB^NdG7Zqfey_c3J=KgtB
z>{h877bwDJ^8p^gME2Z_yH<I{jdk)I*;1`tt5nTwY4U++&zGa6mQN;3OCMQ77gV3)
z#I{K^r}T0iv|(YpLqeGkv6$HB6koj}h#oJ&9uQ1xOSj1ZkRsfZWGX!TyI1|ww=;DR
zqb3@pb>s-<G>(`jUfn_F!5FjXFm|;wNfZ2Cqza~nbq;U7y*ru6{QE;<$t%K8I~A;(
zpG9IWqQ>YW@I#u|n)2yT;3efNSApuQ$?U=|ybJQ!=Zy6f947-fo~VIS>6|+#a{ZD>
zpB$s80Zx5L-qzZTC|~OO{are(N`hE*Z;qR}&aaTpW1`SCP#sR?+%P{KapYy`A?K&=
z#reDwEDO`tql-O=d7yea1^|g-cevz?aF)z0R`V!xQ4-!_LdJ24JiWYDygGfMc;x0j
z>w9JA@Royx_}I2I;lFMP@8dV6Fk=$q;}?_<n#;d{0NP!1{{!yDLjT`Ve*fVJ{&msQ
z{coy(5ucTfo#FqS{$GxOjg6J*|C=Ll1yf4gTwo={2NC8k5|0EICwtoQOof$zBH%ZJ
z_zQyAp=7?`nOL(>6bMeP%%4=@6h|m6;Bgv>JKO!b^{adNxzee!!^1Q?m9zdhrDMBx
zyTx{(*c7@cu)KF;#w*|xhb*VAs;USN0^%R^E`Uz}z}3kBeGU1o38%*vOejy^*16=1
zpA;`gk6Ee+SZL3$-Nq$%8BZlAhfYpTN<vNx3IrI;kN=M)uq#5A1HFQ11iN?uZr;0*
zL-y0gi0Q-EkC8Fk;`OET&w{7T%PT5kzqNJEE5JgA2=v?b@6c;PT7qdM0=a@@4iM6l
zV?MznU^mX1GYd-c^Gi)d<6DCnh7;qQu)hcD)-xl^BR~cf@esWB@0Iv-;lG{dD{%-`
z2OOQPSJn$HY6sSYh7JLGfLuclzJwF(=ze4aCjw;O2^`Jr?Dqj)_Nl9v-3!pw#}^8W
ze1!I;+Qzrj3)H{m%N0lf--ZQr731H|1%#tlBbV2c0n4|6H4O#Qx%m$z(3ZE$;#)(4
zb_Ctr2k2D<171dk@zc`^_Pr1ih@%I=9F7fW|EZAQQ$^omsO;FJ8r<H>yD>xFQ}v;w
zCq@q7a*gWCJ?Us0?B4SJNx{~;d4cVnsPheir?(Gv=MJ!_`0C$N^7FmK&Ns^=7Z=o0
z6GR4o1`zBfkOAstr60l1>x~ZRU24Pp@`ASmnFCb)vjlenFx(BmOI}BY945*e@bUgt
zx}S^4F9&Z17ntYoA}5x{wYNKOZ&5a=%UJU(p2l`Z04~NSfPc37SeuLzqyJ*(syfxX
z->XTTS72>YQaklndgP0doV2&YkH@P|fS(&j4o(h^7!MF}i0bnj<%kFUnK<hEX3@db
z=ieLfJ%Q#b=X-kf9tx7>OBw|AHmm1hhwYrtKjX`^jYtd`u;&BvJL~m({qS4(UQ7N<
zwfM_L)GSt0(|eue3;2V_wFYw%@gCSG|B8Ug_NT*ci@xobZ3+5g_3A?KT0eH{XR{*w
z&*6x`{5FD^Ij;bMPu!TU2f75z2~2Y@oRCn~Pr<aVN1`t9DWqfQPH3TCZw-1D8u*hg
z>sFG0mfb2i<mhy-lpeCp(OfUqyJW~g$VIMuS%=WxOK*v+xDqtDC}BT3K+QY*U*t2Q
zFf2vSvR7LdV9>YieX}emc-2O{Ilvf@FN-F2aPqtt$!ASOR1ir1EWO_Z&|o{0+h2Hl
zmnqwOyubXo1o3UuzKvk1`@0Xfp8$~0A%Xx%hjw93VUEt?lk&-gfoQuAdC>bR8}aS%
zyL$O73>}irYbFH!<Xn~tpTQf#rFj|6j+r?Lqw+IXr`oy2m?;`jV}N*(8x=&6+FNhO
z{mJvfxk92V_gK+xvr`I5X~hz8+HSAu1>_rlkFIe#qt<NSb}Db)63&JNv@1w!P&Nuy
zH*}OUiiHNr%{$(g;kS)eExV{Y#9ZlKD>oPShRr6)$~`cuHW;f%{Xl9ZBHnX)cFZSa
zN?PRwG;(57Th|BXk}4LuqbLbiDWyvv$7dZRx!D-YysnmPDXrFAyR!}@I4V{)?KL*m
z>pBM0muPQ{GLPVC+QNBE3WTK;sfr06Ayo*kOC1K(YgnJgNN@|JxEAy=Z%rn98QaZ*
zLoEzR#kfLFW^v6+EqK4ya0bRJGx0s;Tbj;QM}J61773tx-*uEBj}s{2q)}Hpa)s=C
z*fK3&o&ZhH%F^eA!kJ4^4ciaQ$Ky`;9VPVlFLUaeAdwvWJ8XGYBdB4$>Il)^JFBZD
zuoH2U<!>02=GWdc%y**(Ovy9@fNm`b&T9*j>ve3Pz<QE*pj0?{Z0-nq9jqcV&tBhW
zlj`T~DDWj`9-mvr;?OyNPROc`6(h3|KBtV|>|fl9J>2PJUjoc{odz}Uf&g=h1?I`H
z)*fNLp!0A6<ReME?0-|5&h0V_)nt9pD0;R)ZjWW#Pn5p-X%N^%=K9+6?Y`ZR*qm!+
zsbqPj9}$y@j|IuE<{!kii%7hKv1EL_*h<+AYxzo8&tP;U-7vQc*n3x#u!dP4BJ`iQ
z)FsQU;2C<49&OdJJO^T+TU{HC#?^6KHtMuCv<Iwhtf?3>P-n88_-=YtdJRV=9<p(L
z%XzsTx4GR+VSe~wit%Pq5|qYzjOm&dk5H;#JG_L2Y;=cheKXxCxq2oE)4Ps6uc-u1
z!BF~RijRb?16-=5)ivn)dRnSw7)V?IwQReo16uLnIQVD&ZZ4m=9i$P7^-VLAc@&1s
zdBF|<@KFwd?%s6_wz0r_aoPZ%8Q7upXVhHRbYR`gv@)y@@uN^$w%ynFP~4B3(Et1y
z2dr7kd6FuoFI?kDx*IK()qZfRF1$u$Y^nd29@1O*kwd^DDHwjv3{qMw-3}xR(Bu|M
zOd?XXvC3FhhI%I0Q>QFdr_0r{eonb`e5;aoe25#KP<!61b_~(CE$RiBr8r+eoaUq_
ziZ&QgHh{3?&GswXnVg<lX*2X-$1&3NE#;Nl&>`;aYdaeWDnq_K2q$~i4tr6&Ikz{*
zy&BbAohqa%uUpmjYYP5D<fx<VpciYyRd3vnKK-xj)fzHJ&i$;ke$Z__%sI5gBi-8c
zx^WGGHC1#qP~9byhmDmg!f9NjXJ)U<SOcw2#<%bK{E+!D_7&8d7j(Nz`a0*8*o9im
zdSP_tZJIw4SblBw*8P}Q)+vOIop56l(EDUPA<}#Jkt~$&;^gQk&_;%K8S~WpJouOX
zX#!n64k(DpR4}sz0EmlNHbXTXeRpAAPo|eG;WPLsxKNdJ`Y|w5eHhr4dye1{mdxi`
ziAw0Nma;w~h-e7W$vC<OWjeJ|b)4hBV%14OJ0?(1u64!4tCKl*y!Lr?|E`9K(+Qiq
zcH=pG&-7iUA>`_BHas#+gm&?YG0PPl%Hd5&xj-JzhndPty|nJ(xaTfG&1`Ol0BBO`
zX*HaprRAbA5FQ@moAphyPR=2X8W?rWdO(1eqnVvtjKNSNsCEon)}C9we&jzgTOwP;
z29j(TMj&WlDqtp&nBY9{DFu@@dS}V?a(E92+#Nw_77MD{D2Gh~7Y(>P0-+mVfBwvN
z&254sH3anaL4gr=rZ#9w;l-WT@-QeS%dBkKvNVzDyldQe*Sj4!H{P_|i2BphxoVph
zm6qZCMiP!2Y*c8eFxW}bkZ>#+&<xVuRIE7?@LlW8!C@^@X7sPlua^7)kr>+e{>=4r
z(Mm!j?4Z-~9djp{%BY?6TCNK#zaYJPDe`b!q_g`Q9ZQqQvKaFLYl^cXGTb)@OQXFg
z)N`V>ww8V^*ij_ri?6^dNbHc+!=}pQeO@(|ZGOp)ZF6^^%mQJ0&vyQkM;UlYN=+~U
z-nk41xgdr!;g&GR0^1y#CGYpuICt1~Xz(u3fljP*^xBkSlGz<GXPGnz`!QtFn0tpN
z=_rYZ6KDc^Xs88(NXbqq@;bf)mx{X@?M(pTG0awKsQ<ASyj>FJJ~Ie7R|sf|$+0Y-
zdeL{mb)tREX<z*;HtTU9txyTei00q1Uqd#68P$C=h?X`bQ});O^%#RvDPE703K5rb
zit)^H7^tdALRUk-j}>(KOxccjS4IJk2|=k0>JTk%DD?(op{wCX9wu{0Wed~nL4+Uc
zx8l+ijKMbcotqR9I&Wk0cG(aH#vjw>C6S`jD0OIpDN+@^?X}e7Gy<=D2XtA~cA-YY
z;G%8I{5aE5N)^v?d65YZ>AvoXvCU8D5qCka6bySo2UMZh$7Sv)$Nh|-F0xiqgot}!
zc<15K9aN-XG%~`&TV{Y&vIoqy;5^-twTTk|Q!7e5FtCl26nH)`0Kkxw3x^M|T|geK
zLb^jp9k|x(8_FJYzA>y5T46lb{ZZP=%;{!wboKdZ{(?fa3jG{6s=sBVMs|WEQPIVh
zJ4%gI^M_*Ud;PseU94rIW5@z|b0+LoW+wYj^H_V2|JX?6rez{$_yQ{+fM*~wjdaV$
zNfK<N&J3LsvrPzYB^w-66Yc`Z8&{N~R`QXwJB7+)@`~tPk>1cQl=z3oAx9wsU4GY|
z;=7)~!nXbJd<{nw)#;%~HkCBqeC?xJjZONH{P&s`iFv8-c?tcLv?Hde6b%Mj@kWrY
zQOWHXTRP(p>xXFa2&O@B40e^k(3Hf#z&f|D7y&)^0CvHJmBd*h&6|;`9sb&zazpvd
zdmZ_R)Fv7hdsk;#$2FIFY>&!Wl~FIM1*N8cHhhj18}90Zt-8C~wuUPMsg>tVx~spP
z*q_X}^Nft{G48!zm&E|M?u?uk6=fZoplRGs3_OJ(G}t%>L?Nh^c9)s8o|Z|q@S#cT
zk;Sb%41<RK37@zgE(_pdITAKOT{=epFdH8^9l0<M=v&0%v-=hK_qmcZRCPSNonqCg
zr|~%SGNfmo$^1=E5%FNA<9k0(o#!LB6=W;Uli`1{f%&pa93&cseqGtO_{Je+)pS>7
zJl@kz4VRs|cG(_GEzBVA#D*_qbpba+Z=bYk@pI5}*dBhPEw*w|k__*?w=2^ae&>*^
zeSv;41AM9^Yj}Kpx^=cfj`&BEXz?2@h|`T0g=Y@DV#&$NlB}D53*Cad7gsl?P;BIx
zARAeOBVJW_TlviX-CYPzjG2NG+M+ACyEJeYaRcvecWc&s1SO1kv&-CQ_e;XE*M3t(
z^mZ%AraO{uWW|`1<TfJGEIGuxm&I$Vbfj?8%3dj2DO((8R58oEuS3yAIuEw?&0?#s
z6)GE(04R8Ab^<d>{Zr9Mhp)EC44_kVT`rSVP!Y)vjXzdWZ^ar3YB*EDT3l=0o%4j;
z^@<zoA_S|^3OQg*3;WneMYO*+%akKetWM>6z5I^3nnE5vnyY&ZPn-b#CI%Sqobkfp
zpf}pZQ+%4GPSi<+E<Z*ccU`}D%i}8SR*B@S1VBt7rj7g<?J;L#;i96Wkl--s;H~&$
za*_8Eu$rwZ=n$8f4YuyuPRvZ9f*~g79787Sq*PhqJ6k8S9gm&L`Nx}WSp&UlzqP)c
zLy&vC={#M#b+ua-KZ+MqooQ1irbyAlgSN%L;(;bIUdA-P6Zm+e-bVgp|LCiY1eW2=
zBu82-jV#jS);u=&w+7f^$tY*%VJBEXLH4S3fC_4X?AN-f0EG>LshofV?N-!;Zd!}n
zQ>waMx!46|XYOvzQIB2WN)z$-)Mr)rzP^1QuPO?WZ>=!t=VO@5M#k-av1`buAJdm`
zyG5QYKi-ov4FC(Toz+0e``qc(8sI{Ko(3h~Aby)pU=brPfi2pv2pkI;evH>@nezG!
zj4|FMYZ!_s7Y3fyTcO2%66~4^eA9}?hn3nQx87$<#E~z|u_3esY2YE!X%%Q>{8>`Y
z7UfVmwgn9Zg0h)WrC%d8rK1!V-ToV>NqI&b5Up4ZJztc`R%f03YU9|;!yFHLsEE_i
zjhzARYi;%FTq5mM-jIKN6)mSwxiu+mZ40*_Q}F)EdWKl?FxA{9+aqL>yH3Op3fw?d
zaSxe1{r5{#aOH6<gRopnh7_iq@$BO0+dn-+{(NGPjwd%a_^mzNxcdIPYEfGbd#J!l
z-o?kBV;<=gr%V*oB2!o?62Qk|ra(hja}4GiWZ9KYQQKE|np3@Eb3>a0fJqYBgt^Xs
z=H^Kw6MVPoX{-!qdskyinbgSJ{d^sDx$V|VARLV-H^q~2yLOCup^k7uHzL8J`9eQ#
z1-=5@Tao5=Lq!uNzeJ;>uT$5l%@s^Si@td#6gBFb&`vXtY)6Kan#2BM>sU!|-89C`
znj9jBBh8iR=sfhMGBQ&H@!~2;7Cw;XmaPNJ$yXwpIJYgg*Dw$r)P_E6$2~r75n3YV
zi?bZwgRFSR_iwP#QB4rDdS7Gq#-uhfpkmFlM{-r+gNu)s^<31~{l$ps70Wp~R^<?C
z5#LR0zNo=565tbt`RGkW+JmFL^XOVh)8Q+$0$WV75y|>X?f2Dsp5f$?4SeJ--?_8k
z&RQ>$)Bq4oqRurL95(Ca0bTPepHeSCc?k`4!XC;DB{=Oe+OXST1);RATih@lvr3N?
zWhuItmm~F3=Rt6N23G4-hA4!4+jm>s?EbGpk+!b`{&i!o?H2Jv8etXB>-HjI_gA%i
zgnNNXYV^Czr~7SdhD=2RPd^EQhzf*?c%Hpr=kD_fUPi2JuPNm8oa$D$4zf&~PyNnw
zToEM-eF}iPQ;azy1GGbWFJ|Z`Vfm%!z}<t8oTgfsZRGp+Joh4-c9!MZdcHFo-Yi=^
zj)&RJmVYh=JS2DWlPYj4lDKuzJZ)j4SNi%Tq0|)#$#alJ@u=qclaUzHZl$emdqr99
zq&h-~$L(E2w&MpfLm6XnKjn}>+DK>^@$$|?t%pHt8=05bOZ-JmzlH)O!)ZuFlvA{$
zvZ?Oi_*T%#Lp^*%21T#WjZ*yzgA~twV2->jagnCkQ`I|DLIj_ciM*E-$BKqJg)M<a
zbA*P=9}G65%m$(C;|uv23L}=qlo~MOu@xO@pk;dNiBxDJ5Jgzu1dY+6>o~>Tf~M|U
zTc>ftN*+gwT92-R>A3W9`N77|A^`JoQsIG@JI5x!S9ZZR6x+kf;PFPrSiJ#G8?Q}n
z;=A{JLUZ?maA8+jH0~HIe?mj<o*E6Oy$c0{(mk8LMlO77biC`F#5-Z|M~12dQlo;M
z*ndUAFB@pqiidlhbR;%(!l%SUO2r!89}SKnW=aG~Md9r@#yAZbpO&%`O&(UQyJYE(
z7#_CMq*cS(*H5GfI0v~-l--hBRRsdQIb47j!=X#>z19Wul!ThlmRpdN2@m*r=Qqv+
zX0uB=Wq&8tv`%~=c^+@?w%yn1#TX^r9cR@5)?IX_6xxf|%v*OB6y-cSjx<JYBDR5z
z{l4XQ5tVPKF2l_<S7xuO#wvHd&Chtf(xy6k_8eSEUFih=0jfi)kx7>hvV#eJ{$c;B
z_RZH8g>^(isOtWO-74rGyY9puF0X?cY8x#tay`g*Nf8fNjL;jaEiQ1W^$PA7iOqyT
zoYK82F*j~bCN?6rZ%Bv8qQrE2Imq`HMxiHlNfPS0WM(F;JAl-tiX->*Q&PHf{^s$b
z!22cV!LtbxvJX_O=d@kXdCRF0*HFns0$u(Q?UKwd?%7m@dFGMcY^?m6$dZu=S%FAJ
z_W+f+j=cM3Z`i4ronkq?H%}L&!H`ZU$c@y+ztq-V+7dx$asQUApO#3yGA116khM6j
z>p5~rE7%3tW|CY0je3UBQMb)JYo(J0*X6U$^&~Bk#lERxZYL+eqr`i#Ru8^&hSuRe
z99-jxl2{PlWMOMG$n1o0k>8s{)}^DBkluX9I>w==Uqjo9_81(kO}38GL%C5_+EeQ%
z?|PScbUvyFK#(W*@r2ac+oSL}V=ZShf4JeD1%PRF`%W1V%OnC$=iwBPP4dxGth-On
zph#tySMqdR`Wqp7RjKER#uW6{05)Q$RubyopQ+>$OE<|BuqX9R)U2B<vIs{_?Cn(h
zK!k?|{ac!O{)TOuE+aZokZ!p2NQE{gpzg2Aw!sdv9QCbK?b8Czmr2E7V0tuXJv4-@
zMvg`rzlKA{iaL51NA9t`KnsA~1IU;%Y8sDR7D2<%o<T5Z941T~<Me4|qlqC_^tmhf
zSY^bS%+?2xbt=Snj7&=m+C?J$cw8B9CI=sMwTy`*ck<Ks@v5M3V5-e{mbC?oghxZE
zdg?y6lUs@WZ9&^$t=$rzmT8DTruJ1F<je22wcWJ;e#5$Y<cdh$dZAv?xx>t9p3REf
zJ8d|1>J-!7q<K;j|12WLbSD^sB%q{?zZz0qu>nVpv1mfq)qvZ-Uo>b+y+tj%d=}`c
z@GiksVi7|DTxU1Gw^MMQ%JO2YN}&XdDErCIS%&9Ja6wDK4LN6ikP5aua~Dk`gSk$b
zxX*+7>W68HypS}uh7wN*e|8bFzE9aypWb7Qet6dc-rK{L=^F6LHj!H|b`t&MZu}jC
zxN)(>%E!;*8Zff&xn|I~ckS<!rUVzS4mAraP~jpixw+oP;J?~>N*-%>*q~B6YA`nb
zjFT-4OTiR5Hk0z?wpVZ%IlzhI*?va0|F*HpSWA@!8LR$7zmS;Vro!(y8?RUG7PBVo
zlVWMUG#BH2=7fm54WHIRiALe#UEesGOBF552YC139^0OJ1_rqD1FD<)q##4ilL@e0
zwKA#VyfE@Ee3J9s$`OUX?fs@rHWYV{>3KTyfWkY-Ez?eT(~p#}zc8&sFb`guvRrMV
zEA2BcW@`;|gN7Z$chd0v&b{21SLze}c(su)UO=wx5bgZ;&T7oiV!K_!4FsvajI*`+
z3rvV*d*SjC#~;lQI3}|GGR!4(oWtw263wl;U^{^AY7#Q@px4sXMvi9*P!E$w+#-47
za-9?TW?t+myn35qGYt%SB)e><;&#Pq1Ci^1XPMb&5*62xA#6Mg{5RfBga{PSQlp(Y
znEhC7zTH7;nn&?6E#AUIEMK>6#HE!j;VmXYi9!dNM2DOU?T5vJe%qj=#`VD67OpZ{
z<|3T?kjs<u2C4kcel8_0xsC1Aq!B!z>7Yj#ij9cRzm!}NwqjStgs){pViX^`Y1mt-
z_M7LONj5M5J1N%|@yFok{34jq8}u6{Ajx#wzs4I`b6Y6o=P87{b&Z>AkAhO<JTXS!
zaR@Cf@9?=xnO+iPoehP@^@#FyrB48qwRYf~-0k2@A70EJP0a1{c;YM_%vVHd7eR4z
zs<gmvW2V0#8h4dg(RSba@CwZc?26N6ZBy7qbS+*3qfKcmZ63?@7hWSR_14>GyMD1u
zbE38XI2{{L&p9`=a*(I?{Qb?UPWFK(N@r?c@^IX`;2@NWeg=L;^HOWJ{XkOv-)_id
z_rug>73sAIpA$n#)|cZf_jink#rypHq4%FISV%&<RgS>+<xLU&qxMkML|X)*4{e%f
zM=6a7+`QeFW~<Rno`y6*Hwkn1;v)X`^`z_1hv`y8o)Bx!;ag0ko&@$HnK@J|)VOQ{
zB*m~0grk?(<1sw8BCejrvCjnxMq-7kp_v~-hk!OOk8GkK$NFjPGFi?pBq+*>u4ntA
zt41y&0^+TY=q(7kol(w5g({p;Y^%||oFWpe-C`$k*T@6?_yvNbE?zw|i4V2o`dk_}
z(^VWOSk~<!x|M)vyW=XjN~_t+-6qp9L+@*<7!>DCr=P$1drg|~{XUb{VhNTDnLr;Q
z-3=zSf@?&30uCiHJB;UgxAkVl*=rk~u%I}->^XD`V8->#Qc0-Xw`ge4(dzSN?GGN#
zr9=^PVn|4W$4|s{2b$NhDmjl=K8lF=b-9m4Ghy_YD2^n$lr8DFF;Tg$^oeep94r8K
za;4s?f$PEBLdv*pU98v%De9;r2eHaqEc)9sR?4MSQncFR9&|3okuCc;=|^rbt0gS@
z8arBC)M6R8DF{UEmHCEXW;Q8Xl;0czH#)}Oh57RVrE8GOlVS9030piW(5oJFgc|G%
zyL~%ppCAv$iYX(4VQ1R*_gh&udk%x<E}rpN{Lj|grDRa$vR|2ww<L0sqdjL`*{%n+
z*5%&lan}|omwz!04y!-7b)~Q-pX8GOac>7qOWY)vZtSc~&gO`pD4vep;_sY>q){k#
zkn$XdBL~zJle;H_{TeAkJH3V7WxgKj4bpoo(-O@$gf9#b3vay(3DvdB80gRf{=`VF
zkoKHVCuH2i)guDH8bgwp3cpA)bD;cHb^twin>x8#zdYtzSv?+Zp9WmalQks0Psps}
z&CgU{B!Kn5h%njeSBRJ)aIMsc5S0xZVRlm3gvA6Forqpzj@A*Ial9-oV3&nkpB|nv
z?R3b2`4OL>s=AtHOVT<lIRwQg%tR_88CFASQ5n>TGGpgEGKkntM;zy!kI;8oB#VKE
z5Ec{$CoVH;k2Ts^$|o`Nyl52a9I!x8++G4MEXn@Lr2*KUDzyryy4U)kPQU;>9yjy^
z!TkgC5A&B^m6_;<isXg9MTuS&zD*L1U|M~ed{h=kn53`*5}dl`rDv0Y;Ivq9=$`cL
z{hsfiEo>=jwl{0KtCLd;rDdC6Jx8EY558{KI`AULimtWRmr_t~hI3O*--|e|3;ug$
zxqh}o`(B@0uf70hYo5G2)WcHhF{fM9x1+xU1QC-feJc6}dm>_#D?zmrJNeH29UbwP
zy!*O3TcS7IXR5q7Qg$P05Zh$jU^ZvPU8B#g)Rx)*+TTE{D!PXhbg?zGXc|Xr_+4}l
z4#;%sZ&OX+?77Q+1MrpZs1^|~4)v(JK^A$g*mn_AA^y$}UfCTQ+W%x_|M%t+27E?#
zrvGbRGvYHcvobLMPhK`7D<eI_|1z^7=|s(~oQxgt=|rvcos5Nz4Q-8#A$fTr9i1GE
z^{pY@HlkWVm9WL<Xre%2;I#svZ*CB`viE8NnF6^$0)q1TwF8m3LCD%bTwUQ1w~nP<
zUNswbe{&yq_Oa76wUxaqFI-;vMM?@rh%I1QK_&bJXr-*Cs=fg1hg+?x08~_9O;l7|
zj3_CcEz!94_)Lr_rSlRSS<r`mLj&88=7vBG66x*z-zWkE060{+0I<OPqBC=&Lvxc+
z`er63Uio75$b9^Q!ZVvW_~S9~!Ttbd$CnTF!{*4Wq^QuwS^u08`K?63_Kl2=4!)_f
z^Dp6^8CjbE0g-34sR3RSaAl;g0WS5Ktnj1F{ubq-G&$JY@0se`ySkdP*1MYg;Zld3
zX8_u&)~*7u^`GG<W6R^%bL|HpLGs+&O=cic1YD}F%KmMs^rz9<lFsr22<xBOfChI6
z5pD~Z@|OV^I{{!(2lZ<JhJR{p9N2}8^7Hio)-yEuWZUMO??qA%{DEX;U;^IcO7r8c
z7DxervgE?&SC{Z#A07-w&;w%py*4vAg$^0YY)e<$OivTU{xPrtibGTeP2-3BD&;n1
zBC`ZTGc_@_?A#@3_>uuWZy+Ai!nU%718HX``u)!?8xZEertQSz+wqNnz8m~oU%z0M
zv8@AFgp(RrYD|2~e=)YIAwF7oq=&|7#515h17qXk{X+l%96)|JCaRR(^JN|!KVO=L
zZ&o47yJr^wE&ytL5diOM8oxNcv7H%G8-BmYM5?*f&)MK#LL*jIzxL*Is6J#fa~MIN
z8CV8jnxB!leJ*uRfG0JA4MX6%pP%>FL_lGk6TP_X)5cHTN8@;<IVJg2lef+T-_@a^
zK3o7>QW+HhBrY^6zw6d9H+(#=-%Qcrp$|Mv-=T>B>OO#;-gUu^C%&ld9|VAFzR*C}
zyIm~_y)X-ZfDP05%SMO#3<00|Z$8QI+PGi7;NO`CU!?b6QsQF^)7MqTYu(G=Tw^3p
zORia8Z2SUeXMbz}5&9!^zn|7h)Vo`uN^s^@m*(Hy$_84}xIlc!hNjQf=#?3T6<mHt
z6iYOw%HHLNR_()AipIu2fXaO{E4{TS07yp6zm_l#O;c6`s-aB63BELd1Z1bZni2t1
zeJ8!K=v-)QeM95pLr55mM&JiPZjAyn1srpSbO^v|X##p^;@|)ZIdpwMS3zH%1zTDG
zsPnrey$Ec6B3Bsq0BS?I2y}iT2N?GPPcL)_`k-~<JVdMjkxxtpV0B~MM6dvnS4;;W
zbz?k4;ArorAo~S(QTSTOxd=g#3rqoa@;_+zf^B8o|Ax!|h7T_o0&Qjgkv{)NdjC(#
z{2%GcKk2-WC_F9aFCi~D+O{c3IMX{?y#TlL6u!de>Hy%lk-;qhhgL7$m~SDz%AzSq
z`RLO4&=e}Tdo{II&NcS$#xJk^FD-uy!zWt35O{hzyTH;*EvP~ZhVYb&%j{AczGjC1
z_0QeG*EMLn^=}>=0@WmwB&&<K{mBYHSsv4oiLXn*oHs3efgI|d?^=DmkeiUO^?}th
zb@eVoOif(n9tVt(4eBiXf!;mX(HBhh?-)e?Y+U3ao0F$W|I6lGR@P-J*V^)V>^44Z
z$}CI(c|YQr5nOtB`F3uxK#Mo&G{k+wgHs()z|WoE+E3mvWckhs9JqPfH6HxJBOg^r
z)bvkm1i`e=%oHdDs6b69-wFW@AYY>Yzs?FZlhC6-T$|tPMlHMA4sJ1iN3MQe2ms$=
zN?BIFYQIzzGU5dA$r^#Vqq7j^>4Djoc-QaS#-pd{KcY4Kr@gctzQyA||0sPxLCnuw
zZw~fcw4Y8Euw6c?UzW!2l|DQqqd=#hbSO09F$^=?Z{5F+-!Fh2-wgD$;)teWm7liq
zajd_$H3Aa8JE#v?^=)b#fWLC=MX|Iudwf9n99qAAaev#s0STtIe&K0}HxA*z|K7fX
z1vO1xrehN)qRpM(R{uN_r?qnmh@L#G7Q%37{09DhK>h*o0GN(DE$KG_5@1~xm|jgT
zsNGI)3E7pBvo<GLWN@G5Xl~mnARwMoF6z~_??9G5yLD@BBlzn{z$p8%*S&j(vM*$q
zWwDq&+but}Szk?hv@XAu6W`@MpJ8J_Oi1b+Z=DM!hBpnMx%RJz&OvECrl!k`vR!TU
zMtcF5Wt#*lkYG`>ViRTSf&7)^P%0i1;R7%@QHi4jL-FnCj#g?Y>?v&&_bd@D6)8=f
zNVdp<0eY+lEFSxPr=#*po=s6lQg>-RdlQ@-!s$L-pN<}Ew5)sB1?l+Cq$~0P&C`Sj
z6Xfx4qZ~#eYPt@?Z9}QDS}zRPva?D%%uI8GwFwzOfSJy#p7n?_%BnsVM?BS`5;I1y
zVY`z38c?{aCe2Vv1|7>Lja5R}$@_?94nSfVr^@Hg^YxCaE>7x)?-RXtFfohH>+1KK
z+3PYT@(n6!gOh1tYSRLgrq-S;k&K7@0VBv_324%=&oKLKN}uQN0I}NK=XdxT4Z)@d
zE>$J%ZKTYZKmk#WRc<2rZo`IQ@yhbwC=4!FsldKcew$*l#oNE5qwXLo*a;)&1Wg>~
z3D<azDTU@rpcVejiT)(iqm{;OQ;5SkMUeHET8(7gN$*(=3)z}X$KU!Nw>;K1Z@f%+
z<|*dP-UlC55-slVGt5nzSaW2k=v%|C<~^N0>Kc?LVU1ubT^zKIa446t8j7b76Ypyu
zD}0sH>Kq~(%-AJ+7KRl_<4Ff{+EdX}J+zqGlHb$UBXXMk-CTy@RUjzRKUoH?UpaeV
zxg3G&;a@TV621sqv1raeSIaaLt4(rri@G!-^2N4veG2H!PpjrR+=vm~DvG@`#djLP
z7g-p18~9l0n|V(yREu;+R~2C3b|OW68^dym(^hY#In`bH(cqp<;FY>7c4*(6vP#LU
z>%dwZXIMc<h5Tmwdc&xgym5d>D2qjOR7XsDeA1)F8&#ghVOt5JtGyJiE44Z!J@C-9
z-i5m*z|!r61lSe#NajwTIa~ymTSA;-C`+0joGej#iyZ+LoV<xvCeZ5sIFPjxbWA9R
zUPQk*IO;(nbuXU6joMLm!euc16qr{%7iU9>t!k9m2^>ZOQeVpG%;=S|g#~5~XDCy2
zCmj{T$07MgS`v9>T;1+_eD<mYiXdh&E-@|FveJ`M-7#EHrW8N^q%4N#GPJ`ec-KA!
zs1oOj_s9S$DA+p~GJ*maOfR3LX#xWy8drg755#LtroWe#+tXGb4!z6w4lZ*N>p6S|
z*4D<x8FqaB^>-Mu2fVZq^Lj5(-9al%I&dfgGA$Gbjcl|;tBi7wXJtTJ6fn;{G7mLY
zp4hJCm<MunRf_h#6KzS#vC?lk9tVk1d>`rYa_6<|KM$+6R$C`ZCr(6*l1v>5)>GAA
z%8K@}i;dQ(GGiTrS{@bTu7zpEgCEB98`GJdpnN_Wza2;bhe^k4xe_x1cPEgnyh7eu
zVma>exWA@++FV3APjK$GiE{SZ4Chm*Mu-Nppc+l|?iq11F2*Ym(?t$8>L?Ntot@pA
zbk9=uZj~O^Z=Z>M`9F7;I)cJL@BJ7SE|imQi;%T&st$o56j3#Le8Y5C+HX3OHT4wh
zc%<#;ikW9na-CfNo>Vz+J#c8%;I7^&v7;=7gLvre8jE}_Qw|h`sI)s_nCG0m!2OlC
zovlOGY>FnCROgYarN=O{RJt;;VMmtro^dx1oCy?Zv8lFQe{Mgm8_XMopTfHl$~k*^
zhz+BySH}T8x8-nmqI8}=6rGd3@h(U0bv1Pi*#J_VY5*ppaf6Jj|IBH-Iu2dM7VX`?
zS+38)n<7mkM1FF&*Y31V(*cJS%S8s<q3~;2l-?{2OMN0GqognBtcrN?-S0ll57{ih
z@-k2EXi{wZWWVevjez8lH1<=rrAx0LcGcC;m=)d-sdB%W?~*8#vY;r0<f@wVnn?_E
zrhWzdtgt)d<x`Q_ki-lh6fh0e1WSk{@Py_HD<;WEOZgjX)`7f+K~)NKD?U9=D2HV8
zx4-gZLDGmER=q&QA$w7C7_cibD#6#jZmQc+i+ZMV;$D};uP{WFpB-|!<JA#HAgnwI
zC!mf@5XnnHRh*U_+#t33n!6<HPbP;;l2R0eF>d<6O8!Y&f-wJLgOx>$NP=N<5*bdH
zKeyQqCE-!~q?3)-Awp2N-HWHcmavf+=Q;|S@V9HsFqqdc5boj1aLV07UH(9=f<Sll
z0i{O!@rVr9jLqC#AVyjLw+yf#p}%Xh0D$e})*eRH&$fuIsv0B0f7R2aCPUl5qUOPA
zA2rQ85c;bh{ql}o7X9pLhVrI`cLwG4NKr0`AuyYb-~dJL+2SKHJ`5C>4J>~uA|iY<
z4b6W9K1SYn1>Pmrh5`%1d)&m9*hHj>P^h*%&^OHQRbd=ofj^xR?53uqq|Zv`QSJ-`
zlhUM}vC-kAg2j-D&i0)7@1B6Ec%AVI);C)v;gLdR>x07T1xJbNI74*?pu9_yOUm&z
z#$(B$alE9_b0>*nxFYa}B^(=RR)v*Ya-ff&LXY!*0YN~%zemmd`oh6{K&-Q&?P0F7
zc~lw*%`2uI5uxn!P9Fa>kwT^yfk70;afuU3SblCvpqr9JYq+8`4<Dthg7qVHoan6O
z>ot%aw<q)mIizSQ<=Rt0d8Dm<m7zT4C{a=TA8sLW@0Q2ya;bM}uXVO&zS7JMLut*A
zZUs`e<+29I10D%*Qdz8#tmnpEkxVlQJH(NBd%L_uW%8%8IG~X|nNRhyJsQ@RT-Zci
z%Stj{I*5)i>v4Won`Jk3k7qCgxD@9dDFF%bt%xKBtCvu^$y3Nk{5DGk7<e4?^V~fM
zFm=|Ykqwu)B+G{ucjIs{iL#6q8xo~!uhx$D{Ao!<U)t4SjUBNWFY>xFpSdy|ZOoD1
zo(TyYGrsfc|2js63~s7e$@YNlV@-B`k1^dxfT_hM<uP(Jxtp{Cuza+SiLCX|^t`B@
z#~8~XH=ywH!%r%7a64^B%^(hmNx7WuE@E~P<NHX71FF{%FB50G?Q$tG7ooT+;)NQu
zRr)X)E?)_qJt6S9?dN2iU4YarEj-F>gwk190kpvCTE6+?myWwb=-9GX_bc?xVS+sc
zISCuxSV34Nu+D7-e1f&o(Wv5*#=)9<xmK$!{asWzs&T_o`CyfnuJtjDz;~1-pIXSr
zI5?WGRQP824s;`(`946?7;lu3pdL8QYu)fG#pfUNIZs^l#@CUGz*_{qOgALfS_-CS
z=XA#`w(~;SrkrHg`h`{Pz7*VZpv-6b^m&V1xgZPc$B<Shy%eUw5=()xXGw%=6;fz_
zyuNBe$7?D2l0|EE+>^*%LnXkaxzT4u<G{QSH7fNQrAB$4=n6!Jw<*&HdQSOi_kB7S
z-B^b@jzHh$s#&6!`QcZyIv-SS&yk0vpfx0O56&JVjwj>;+osTEB50~>g`jm+MTXI3
z=T=>)K5srHrnl)8(eZRqx87%44TCaXRuSy!&`d6vbbM3qJfYEcdN;X}!U8e^CBVul
z<lv$p(k6-^SMOvGjHV)&)hZEt%S+X+EF2r!rkO5xfPVVn9vUlDd^SK_Fv-)%fo|yb
zz7NH8TmPl7ve>wt%NcjhmQ48$%gJ8!>Bu<&yQAmq6r{TXOP|v8rugcI^TjbZ4ck=2
zJH~Sw1(8f#oHX1U&kT`S>z(emgI^@utau=lRa1vxOJ|j2b4sQ${mY8s$uw#OL5J^f
znDyv(STB7V{L;Si?%p!@cO`yfuo&+3@+@)-BwaJA7V|3q@gXbZoL$&$vKbK`=I2@S
z#mt9JZD^CvWV{4ZdG^SO3m@<;-RH;<kP)wWwxp1BL_F0D{7!<iU{cC%?7(8vdtc&^
zNE0*M$XIW7>%yes-@ja1xjibDTrtrLeQ$BC;=$=J6P%6X^Akbq{;R-(G|4pfD;+Fy
z4zY8txwHH2>opmD@`+MC_-nSr;gmx&E~RU}5(go69=Rs5hqGE|7TBY(Z<e&@#U41S
zjA$-Gdgbf9Lvhm1-Sq+dq;Dzt47jnWLvQUp%jv9Z3Bug^_iQ>YwTi+Oy55Qz62BEQ
zvHQO7QDc-nqm#j3&81ja0k^V!w1E993;`>usSLgL^}C`w7Mr}_)$X|*GT&w6_@jLZ
zYAquFzLL#pRqX~!c$t;L9rQsL*}Sr5q<4K&%yT+KCnB>ToKmO6S4QUtpv8a=MATO0
z`wbUSr58*JsG!8~B;glE%eaO{!3&nyv9*4gxINJVk;WvIqlZQEVjq@|xq)5Z+80SH
zV(O8F;&<)7t2)Gl5SHe?o1kk8`Id20n}5m@DS)6xK=abD;evnD1x~KYM&u{9M`=x<
zBrU7-4}sxEoCQ@!n5g33cw2RvhU3gv0-1uJ9AATGH(di<>=eY=;<UQ}TtkFO$c`~H
zU5?}V0m7T%qh4&{Y7A{epH<j8{YZfQFly{WC>*77iHh?-f)ea#PbO+95lI?>{i<6m
z_6|y1@;uO555O=Vy3U2!Ws@+O#IjZ0hKUMJ*GLWD@7-NHo##dH*cyN_vVlaMgoB?@
zH)NC0vWSy9TSXID1oBk7X8Dp8^#>$(X>Y{l24xLi`>VmTT>&W0CK@rU&<6EXLlmq^
zbeOi@`>8oSdYW(n6jgMji>F2fNci9)i45S1$MAHZaKnQ|xcp<6R>o)vk+0KZgita%
z1MB)FWNbd<zS?lcal(1;v6zUw&D<e0KRR7ekuzeOR6cLlB|x26K_R#^pIUhe{6uFl
zwkhS6W?a`>C!D(>YX&8vCPSSl`1GPV_6QE>27=<n3doRpPo%%0SyjT(eP&W7O6KX=
zyup7m!GN7<M)uj`_(kG-(-FnT>5pqH7QP%SiD~--1-%>O(#44wWjiz$iq2yQlcd^O
z8V|nrm$h~EI$gDqhA94%GgLN1y<{@2zrvMeo)G(oqDYNyzJ&|yeyAQkeHXJXSMQdC
zRvlolNP$c_hfspPKqGD?9Ke+#7^H^(K-_dVP}zPW5?6+wfs|_U<*Ppvc8cgbv#^jo
zJFph?S4G;>Xm}^6x<ZNt<C#&Aj<?N%F^7*Gj2m&eaU+eaUG~Gf)he>BulG3@6Dl1)
z4!q-Y;Uz1Qf4v!YFxfRk37ECoSGI*U&Zs*|+i<wPeOboq>bXeibegzymf(tP;cMpD
z$-vd_=|}dkWH6O+`}(@=08N9j47$}Nn{L~hU*<HsRXMn8fwtTTs2s3IET!4{=r{_G
zEA+*6ceRU2nm=^yq{}NXGdN8~SDz|c<Iruk4T=PH)N8{Ke|11C(v!+xNqxQk8^;^`
za_#+9;bwbmx!7x5rU{OqD`M-785xnqPXQJqfe*IzZ<+VgE*{)y{Cn-0F=>X>HaaAl
z2IuTN?@94_;&5|c>Re2V*OYbJ@6{T9tB`i(GLlY1xUQXJE4V{<VTqVTd0dSgTt7x$
z<@{L1Rt5?+x|0y{b%1BswkWaWv!W!vE$W6g5c#EeV?1j(-XJZ1DZo_<pXc7Y-vqZQ
z>*V-Lw1~q(^!<tshPCS#|Bj{2&eN8$UkBruI!>?lh$SvA`J*G}%}Eg6=EE)l;zV6A
zUhXrMd}73=TW>Te$?I>lS|8!ln=EvFLR8zq=aY{m2*T)6moGNarrdP5?2r4V9H_Sr
z;}QPau{ZFuC!8#8;#0HDD=vk?64^GhT3;V4k~Yd1FNt+5jggK|?oB$83@r~|boqyW
z?R1Ugb*Hm^KdrTUHwSEc-3x8(dMyG&=mYoVfD~tXF?9E9YLDSO_v<5;OwX}9W0T_?
z%z{4DFujW5uvf<8t%H)8pF7+M+g}`*ki34G<F##ls$dd?hv{qcqjINT<nD9WmT&hv
z5A^L{THjtEq-=pcI7cP3g6Pq_(JJhOb&I{u!V`XAh6~m2@E(#nFe!{t_kF&D{UvWK
z1Tg+uMAc!On0vJJz2CV+xY2E(smD<N{v&-X&h&%okF_EtQ;T4Rh33}fpiD41Qsi8r
z22!)v*qP-|%OR7^s86n6rLxCT1Us>`Z#|dlOTLW4+|oD0^jTg$aSCg*8+3f)ERsnb
z%1xU&O*L#EbyNU?tJ9M;4$u5vUggKej`9c{(Dme<rO1FjWx_NTm5K6@?|DmvycJ|&
zcX?3k?mfS8-YW3Fv*nZ3K99BdT%0}zyZ$utaL0f(SD-C<P?-3tkNM{sS=(qQIlbJ1
z8V_3AybehPBGK-PUp5P<#MI++qPuc08A`W9zc(}?V$Nf}xkyyX*`nljt5zda*TMKm
zv4CH$ko3ekTzIr2oCY;Qb9r#pdGk&R&s<YlVVaR)2iF<ri}YjOsv%2#vE$cHxc*CM
ztB7v&FE=;3BwxIOB#K=`UUFOkF;mmBb`@tugly;pwXBRc6`Mnao@R3UpZwN<tB0Br
za#KD@jg8vqzGH>rPGNm`J?ed;eY+?Y_zy72pJU@yd<9;Fkxw+sUrtaA$Eau5p-Elc
z>hBOfTp3Qr!4ea~q6nlQwfX#f3y{$7dXFmOI?4T{+Wjz^Op~F?(Pt{)K~Wz?%5g@j
zHppLMV~TOOKvnM|7lXhe^dm?4=_sApNpm@%gTTX}vH`wXh;IE?R(q|1zg@-+EEl--
zmEKOysFc7fMkVSZ8Z7JLF#Ree)ppranaQE^QPMVHb^b$<S*c%mJ4#O|2x{8xORQCb
zU+9{wR<)+#16nvO8l)uZtfCi~XKU19=nU0fj4_b}gWP=|7*RrXmFgvNM#Z7eE3Qy<
zP$J*H0M>eSOkN&yG>_{ef17nVe0<bd<1&uMlkzi4^JtF@gw@FO38&GHt?m5~BrSrj
zG5v~L7Db;lC1_{yQs|z)U(@IgreA2PfRA35)fac7R-fE^76<VchsL~D&q=@Qrc}BG
z?BHBp@P*1s(GNPwPocc%@9#D8({J7B%8xCv!Uk|0C;3;+Z7A{^Di(1<tq>f0QS#H9
zox!L~4I;6~^03l8(HrDtKB}W1V75zcw*b1QUd}$j?|naaDNKD;!wSpi_qQmSvTrWz
z5asw4J$<Z(!rt|UAZA*x#=LGe?p`ikf3XIaq>Shk*X&>(-~avw-3NZarPYRQtS3!$
z$LTQ)r@U>f{E=W#&aHz{p40~#>GW&xNP_0_r%&m~$@gihL0|P2mjyN2wfTwQ-p?-x
zn=xEctyUo&Dm5*Nsd4dzTnDz-Ku4Bjl6OvbrPo;Qs_!)~Z5o;uYjq>SFVI%gQvxE~
z;lEt((&2<f#BBr{Vk?n3m38WP<qPJAP~$lz35c4@ioZ5y2@UW?X0ic5b9?Cz*qx#e
zK7^&qa}v@I1;{fI%q(f;t8J--50#6SNYey%;dU+F;?<0f4@&-GpB<G^;c3UKAUV|8
z)aqxdmg>ipRE(K1NbM8*xSmCc31x7?P9><?u)XfL4Qpk%MzXOtcu@K7b1%hwueW)D
zgZo$zF_iVK^-oeTBA-*-kcKzNYrvOV&EV{fiqXa)ZotP{bwIPKx`S%I(p$a4uq$P7
z-h-AhcL}q3&srIw2-(g|(ypi>VL9H8JWBbZc%1;1%i`d4a1+amZ8e5^t#(wsdaN7(
z>i$dHVHq(B(+O5&Qa|Y%6iI=o5|X|YIHja<sb-wE^G$Q`^^H}x#H=T@c%2M~DrkKR
zdC-58aS+W)4_BNT73o`d7L;|C&*S46aPO<jO5jHdPNr~*^3XMsiqQ3vX|YJ7qjb5Z
zxB&58;=~9_A{m=sxyMJfQ-fod=o9mu@QJU()i*?J>hqY4?NlRFc(uM0!;AL1Mbst3
z=+@8=wzSk1uqRa>VU_pni0c6P;KqKw&d_aoJg1z~s-<?vpnYE#AQBPNya0tJS9jsr
zDk7f?;$r-skxjkmH3^U(Y|KKvy1a=j9@<<I6LUCrjuhH&Fyy0n`4KfieI(=iU}7zf
zzH9RI3<ma?$r^jtYc&l4m^x_RUiYBHvBFoVsWArh(LcS|IU=y}Tn~K<r8)bq7i2i}
zFWJJDMbQ_SE&7A~-J#!=hV6uR!m7Vb`}vk`Mai3fUZvnRh>WU*u|2GJgZa{cn^{A{
z!vlztnfZFWu#T9+lKot<?KEe}!P+5Ily+Nr_v`{$r7;o~j6ZTcE|hX?e{Rk=;bGm3
zcmmUimb-t~$FS(7!C4Q7p~i4Z1>jP5gJJW4;|i)nCq<lcwYRAE2@H-EcXBEDjDo|p
zaot@S>CZsB=O;jd<Wt3_#uFK=g7VE_DDvlRVdF>Maq7b4`Osj)QiR|b42u5QvthVT
zJ}Fv{cs--wm1WGxY3Rv@V4X7jJc4Bk_Q+0(NQ{p4>KRVfPj;NQT?k$+m$)@OO#z2U
z=kc|K<ko?-CM~hu{+B-$c6x$Xct%FMxDjjNf!S@e`j_1aK?!n_UA`HytnuCW*{~wK
z@wVnY!a?OoPx_uPxxBg52q)T4n>fSeFYl_vnC`XkorR8|F{s{z0P&Q=)zDc;s(xya
zoTU~x>}XSH@3(P9?lYw#hY^V&K&^058DwAH1Mt2fk-W->tE|*Q!;{VQ$b@<17G#Uz
z<HyV7V?}E<y2G15!X}{^4uf+2saTV^utBs4Dx4j2uMKzBCza@4pqG<LmVHGQg+@vx
zDw{L01O>C_NE)4YyGd8h(H<AZh@<@Vu{PhN=+1#ngSx*Guf(Z|*z4WZ4S!35^OeP0
z=oPQA?bSW)n|-vlPjsW2t#at$b`|LLgWBaqjWbC#6WajkqX4K8H4H?7k9}AZtwKhK
zj*jnput1Lq^evh?8kX_CCG>sQ{MPvu0sZm|&{TSpi8n&fnuej@_MG1pmFScd*Gl`x
zL*wRFY{)hGtHv<~SE%rNoJjCBGvxzbz3l2kNGl7pKc380!Pv(vz?zfute<GQ0%EO3
zgk;5j`8L3i=Ving8<7;B{({kw^x*=mibbye@>`K%0yY0}!*1h^-)AIU6f~n;Q=R4~
z*d#02#4lDFsP3L)NS2=xW<`$s-7r7ac=4nODp2ySyl?S>6W3h^p;0uBl9+oDWshQ6
z&K4;MaG)VlA4)mZ&`4?dwh+(=>Q4YsqWDzP7`&Xs&nNe@&TMNfCbCXW-AyOSdA}ap
zz6<VoRr&si!z1<ekZkb%uYt7K@oE#?3$)ja2qnlew{a=_-tRf5qRC>TOXj~|oU-VD
zUndTq+mw=7z>+>^_~Pa<F_NR3Efq-df(i2?2`<2FSSg$$t>$A`$$KE94w=CVx~Q|9
zOeTw5Y<pK(U(c~m^xioEGIJ85dYz?dd}nMK(Ee)aK8g$z#$rP$gf9$4o89NdUKLHm
zm*&*mT1Y$QN3u-7DxFh=K*i0H-eUafGh<Uu2X><F#GMyJ9rLw%c(D(QdS3NRvcIs}
z3|TPH!cMEk+6@};GBD|kqf5}%%Ii>=6Poba*3bzEMgc~=SY!Cy7}R7lfNG+#){CYg
zyf$QrY(MV!nb~J#@Dg}AQD}^m*Gl#7km;_1C1}EO_a_mwpVl>tDza&Z8oS-lN=Gz@
z>{9RfF8oQWSZAmm+0vV>#tfwQ-Y<&KuRe%3#bE7)m-Hn$-8}-;eACK1-Dj+cq;QSt
zi-wZp?c9;Ou128t%Dka>^cZBdnrW^CgT1mlD3tZGaA1~V@d`3hIhT5f(Jnf~iH`;?
zatOKVSur%S^}OgtZkI_kX<Nt0N9}&bTRa9J^fNTFTZ<47ntk&=PQ!nnw*FQaiK9O4
z#Rub=)k>X{Y|H?X`=#2XcgVpjWBf^(g<~B<wuG7AmIzh5VgxJlDn!rUEYTC=^mCYM
z6z$FWKZ?C{w(8#D?%HG~^)l_iEq%P9g$^@VS^U}x%5co0d~5x-q|V%Ky>g%rA#Xi5
znozR(C)L9C6lS=`7g~CWC%6r+vqfp69qi)qk9#l5*)G&FLF~M!36@$@Z`Mdx^{W>o
zKB8O&sr%aSbz-0H@~eAR4b=EDPzc#=1(c_^HzzBih_<80)tG5eujxSkYhLkQOpkC)
zINmI{tQm;4HD`yucuK;e{P<B_tbef~x`1>??niE!&x*Bbji5x^4i)2j%Xw`aQ?TW(
ztBndgnYVp{>$!$$=S(+`sZMGl%O{E>Te$e@((YO({Cz^3VQ}!6uW#^V*ZQ6)3}$XS
zxTfeaCr&YWPNBFs51#fq<7Mo!sXJyK$f5n)PDK<(<5$KlJLvXo2H}(DWQSE6pB|^u
zLD-;!@va|k^Y)nspsObhvEk^n@Mi0$f;8-=QKam)V~WXX2fM)+5~@D0T+Tx<nODPP
z90uGoKGThu*sYcVzCRhC))qw4F)yNX67Hs7FQ<Sr1j3kU8YVK~`>LL>k(Bp4C>H~x
zxu!p?c}nDN2vK<R>WZH7pYy!f+r{yXf~7REaR_n}h8>~2VG7a+*;qeF5<a)Eh~v^o
zOKwJCjVd%)?h0K|Af7xG?`J5eatL89p?ahDYhgR@iUj}LcS~QM3EuTDiHAI5PZ80E
z(!X}924FO?wm3v<z`$SH9J@K5oUF)#mEx(<%?Y)a`AAzK>W43+);`ppMPQ_GJ{8AT
zTU^yR4h{8+<sw(3+tqE<@<wZJ$9ChR%`;WK3Tr@UlHRU^y87N){=HY)(Juc-n}KAc
z4h8(f%Tp^L(dSwkVzCBc|Dad<x{cP0!zk(nj!{s>SiWEJW=ezn#N1yJC=;N;59!?F
zsA27EkFqj#oy?ZAS5*X<(9zcq1szJ4S(!|{>`0i1EQ68G!mUH5%EHK4eSd7F>!pf>
z!~Im6>Uet(zQm2YJ%KHeM`1Eq%yL>r4n5#p@(X8}2&+aUkNRa{LF!N>VE5L>ZDz!x
z-uyeQ$oZ(^?Ge7|HdbiQiIso~Xmw@j)h3US4EU9EQ{Q#+sAR?rR-uXlP5~yHzfP{2
zN;m<lq1}joQ8>KUExhv%Qgg_+*2QwwuuZg1{_|j0cXRF(`Am>Sf;1-?MvNupkA0yz
z>}!-{{dFSg;)*IT8-mAqJt7;13O(G*uk%CYSphbTS|1I60IOJ~DMPrI`pRsPyq?IP
zPKC0l7s#$mV*KlSU!`sL4(-tdE3<ak^?TeUs5ikqX0%<r<?Y-c7tZ8-X@;f<C0agh
zqkf9mlmh;_hc5$Mf%-_g(}=NP!aCBIQ9L~ASC(X;fITpOb+e`p+DDK6L^OQ3i`0qJ
zgs69M?!C%2COn8_H6cf@x!6(23AaCkU`@4Htx!C2P?}O7hIAqsKJwjDoJQvQWU(}P
zX*m=qe|;C_V}5tSw{F|BIQC??oVq~ji34LWHf2c`b5dH~(@KeACM{@4ze9FKK4FIv
z*+YdZFL7SLq;c-I2do0by9o_5rV&-0J7zI`)tTJjY;G=`?4LsymDr`zBBXUsLZPs{
zmtwCZ^u84j8%2@LB(EPB|6oc%7${G(jceW~aHJBP{ATuygWes)ZftA^@)fW0(Z&lE
zHPw^QWKIL4Muy1F121HH4u48=-uO7_-C_uZbDFh#MuKkYXj7+;aE#l-%ScnRaW_O$
zkN38x(+IpiRiKAxIuYX=AFc}QY`E8y-!WRj3AG50BxlPT&V?<%F2D>ocRH8kX!b9%
zh#5@8gBjf`4Nqef_#&Eyz)E$f%~O)^(Dexob0#}(XQGQzRL*aWgPvRSx<!S_PSX~S
zN;hP${smNQD&0M8HzMQkIpskGT2!v#db=#FOXJcAO)ITvU(Hs@lB{@#8`(pne*&}e
zz#BtUf;sZqpphcxlCOE-@~4qjui!<Aoj4e(PbM_`txnPGf{jws=ksA#Pj0t;EV$y~
zbBS07mTG5wH6@x;-sl>UXP$)kGb68Ox2nG)4y>%^B+=TjJGB`#fYt#CTG_FZTJKW4
zYGEk-shBh|auRhB-O;p>IHB__%5qMcei7>my#P2q#x~VxoA4;$QXAX0FZr7%%zdve
z^z-As$Lqnnco%9UgrtV;q8vlZ3yac~j>}!>0C4?bw|6`YqnpB2e0Sbe7<;Q?+WU!D
zjml=KTqCWf%)ozgPqdnkp;%_^K#^|sM2<ho*?=RQzf+hb2lYy%1Thf~P7BYJr%UVc
z4V|~cx8mL(RGyTDGByVv@7D#FOyEOj!wGYI!m|XK6P>KkkOzsEmJLnA&8;njuDu&-
z(!pD1L*pMlWhs4PcrCc)s$HNaEfYQv9~~YdKlIACO_PJ5PDSz9E4{IqtYuiXu>IAz
z?{SzX_UYEQ#P>f(kBUb@3(1p=UNl?i6+11H!_AE8DXmB|O$$wY$NTc4IR$ULWU$)m
zq^22n4!lp$6XE-!$|$R^ms!-ap)S9<{y?f!-n+*_@Z37Wg*WI=(gYCVuU6MdZfL2`
zU%|Lr>kl%k=c+{B;;(;zfp_y+E6Ykreu+ln+9YYUA9=2Q55M_&vC(ROtLMYgdfKG!
zC0!n}4SHDFB=2B)yjdhF<^8=a+YLCSEiti($E}OBX;1Ssg8)y)H)M;kt1xYi^5aHO
z*+TfS7_9h^Bc{fh#gDgCnikxHx;qxC(MeGwBBxdnnf_ULhJK7+*q_Y5l%(x96OBk|
z$UgKu;f(}{SUwc{%f}ziVir!-eb&MVNB4;Jze=AMh{gEAgfy*If8Kn}Ua5m2N*YXj
znS{w;v6qG@raHj=Jx15~s*R@oOX4n0mc0P4R)%5_mh+DC*63z%qkcu|+NdsajPp>R
zbi&ZjC*6{by*sIwAG<!>mH!&jfJ=*7c8r-r`gw`2*0MsxOSeG2%Jv{;wJoY-*X{FI
z5M}k{o7pB96XpHTfD7DfCUft6!uL<JZwQ)N1cgb2D)QQoV({%hBmuTaMcwHVde63h
z9Q`r`A{cnOiC3|Bn7yz2A+K#W&ZAUY-EW{Z6BI;&U+|&U-t->fn6&UpTFVI;ItYF~
zV{iUMEK<0IaY+hHP|W1rGWC|P%4yUZeQuSy9=HCTwg6#IG0VC^<zbZM+>F8foC4~h
zblzqjKOQM9!+T$*k|Z?`6Z{jLN>#Xa&Hxl4m5|e_M0>{V?oe6*N26G`Y($;@Ib}(D
zRq{x|58hEf?>Z5|(1;N>-l!xN-*QtuCR9*$hQT=S%TE=PX$+c)KKIEBZ(e#%yj#Yy
z6($8-q^3r8NP`y-KYSCgb$_U6V$~O+;mtFctbO<?mJqJk+Jw08{ZjqjfWwbJ57RCv
z+hU_F<5xud06uqcD}K^my<y2ko(<Kw$Z4!uML$c?Hp#G({*1|049o5=BISyWkKhl3
zWpu7JP|{3}F59)~_tnV({5i!)w#~MWxod@(-4|^JOz)7t$iN+diCq{{z=}qQA4Ud2
zZVoG{o(o8&%w)r65`L^skoSAKe(O<T+}W?pUK|&m!OGL}mOpE3SFNf5{Aqydt8##f
zU4rL?V#(y&M{-~Luj6h-DdcZz)9ge<2AIq-9Dk6_vKy1bd6Lbnge@WM?=dTm%}Kt9
zTO1(HpBW#}3r}47a*%m2D%p$wo>#@e8wMMJl(4DZMJ75&>$J700gjRYQ6LAwC`_B>
zr;{1Wr=JJKev-2}7YoG9P3QX?xSc>9Od`f&-Uf37=#`ePNbeGP3#;9U-o=(z^uuFF
z`)WNxA3EprUq0~Z^CP_yk?H0<)b{m6$wSZt;DFQ{VP*_(oeUlxxGVWjbNmhVUb{Gu
zpMEK|YT?L4_0nmO8p>_=DuE-I56YGsAe6$l2{(wTQBrYl;qZCXVT_M<zuln$cE!=E
zA#>a(#jMr~rqj0Yg|yj4A~S@}yZIp@@DduxWG(a7;h^Y4rP}`jmx!%2E7Nym1&cSn
zJK6UXS?cN@$E&t=+bmDQJr#I$jmS>D%WV>j#(93*XxH}%>*5*~_jaIHVz#}!I4N4W
zda&AZ8$|3WW~tv9>57$MAQPH9EE-)l6@<-k%m4Zm$rjvk-6iCh600D2I1^6>O?_xW
zC2JErP*t_p*7){dM&cKveS`>VkEWVZMUAEghc21$6b`G!Sbl1M!U48uKcSYw=?8GR
zl3bNXfZca>FN{<3nj!m<)|s1G@%D2BM*<{;ryi6g-?$ut*{cFhl<aA&lEiR$hJK6r
zw;XX?y(67sp+i4Ba_}b$$;DzK)WYW61-8#%0tsJsz|hS^Xn&hck7DPA-_)Qu|5YGI
zFZR&}TX{Bi8L#vrk<Ug+h&B4$vWO|PAH&1!b?b*p8+NfI=&X}T!Lv5z+zc0yIAN|&
zIb;YIYCCC9I7gL3M-!BSp_i~bC8kQK$9-lyPs`y@-@Mb;MrXcjN&DR3s)~TpF3E>4
zl1Hyc4g=vLyJZ~-eV@jrN!<-f1N57K3>OkT88n3a7(Z6d{p%<gzFvC7G>bHR(y}P4
z{zduoF`C7DZLDSg$B`s<0W*12OeXw`IXT6`_AnEeP*tqz#wK;>?f~?m`1$ej7@FQi
zjRv)7lCFeNL~agb=?@JCUfp=|C8r|-@cgySPIsWSRa+K2&6}!T#5i;mC(WjO^Ie=<
z&9${3qGX@GvEi|VA%f~#@qb2bsdVm^9RkW{`s*mx&$S9XE|z~~tx<9eb>yrpN>zlu
ztf=&%-9=w(-7Ik~wFSDT4S&%5X*e;<>!NTbAzK}An$P!2r`mCtxxfat!JPC{lC5P;
z!`GYo%^yb|Oz<oD5;7!Iq`jq0RVYo=1E3Ai;oQ{V8=Z~_j*X2PmV=G`pOKB9X~o`H
zFatPg2~1uo?04WTPE}1%!75-9O1X?7&K#j(3LBt#!zEuZ!|tBRMC-z1k)Os@AijU_
zkD1_54oH%@GFvw2^2N3V-0OM-f8sIb69;G&$61=*NNnvs#WbzW>J{AR=J+z0DUCy~
z-7e_O#1Y23hz+rLAA4?UcqzNevFB{Q9rl`Z!F-*n?1Z1x4i4s+#-E<xqV`lQAlD)p
z7m*yHsSx=-`<evbj%Km|*qch5zVj8A2kry^!pKXw`i*5P{PP`Ot2Y#JcnlZO3OoTt
zKVctiZ1Z0qR^p6JBkq4A+M^}qB;V?%ZqhZ3v%<pr7`=F|5Du$N&Fg05@fc;8B|Nft
zM2gY*9pwu~$BithZBnsofzd-gvA6YM|D%=e0e-azzx78+D@P_u8DyRHyc|$G(Tq}t
zN+toJp@D9u>sYL#6n1$$8Txy)F2iuE&nh<A6P+6u1h;{T;pIO)zLoRjUl8zdxv{C4
z{8T*JhglRZ<l{v#$Cl_!UeXOQ;)u;UhWC+{GDuH(Lpnm=-#VTqc}D${aawoS1X0(F
z&o*`PoE6cnWm9#7^0i7uOu+*y!$_(vSB~taVu>BsyxZYXKrE2W5PpMV5%&0yN-AbU
z(S=%e?0d|3fW5krm&=+gXA3$?Qw#PB>6+@Ng>O$H?jl9^6ta_*&`KC+j4E6<)z#;3
zBkLBpPtC5TMPR-nb_ogYm!;(J_=XzRe5{Idx<0T=z}d5m%IJnJ4dBJ7wzS{%M+>9g
z%Hf)AZwrbc>BN{Xxtc{*bhGD@DN+7PANjeC+e)19doqTT$ohw(m?6*Dk4x7`qxzKq
z5}<~m<DBOX1yTY0gokTbB9(Wx?u;t7z{mVcT2k$$7=3WfL9#)!M&qxWpj=HxyVotD
zG@3k9O!|Ts<zEX+&|WhatI4B@iqA!u+G~0__HY*>3uhsvAbz%J2#!y41yYj?`)hR<
z&U<HEUHg7@foF+`5l6JpOc30AJ6{rG9fmxA*O?_F`EJgmVCtwhA%Pi3?s_10G4JhX
zr7_$&yv3E{Ld)R0ZCJFCeaVh$j~&L81V;F4&b8~M9yO?wTv{p9s^R9{PouoZttvf}
zU0lJ1dT=O!L+#l;6N41C0zFRj=1*#kw1Ic}C0A^YQt4*SsAjO;R9`9|e58CU*6F3N
zvQAY4@vB7}sdc7Ss$MS|RjQp4yTBH$E^AooAH!nPz?~agnB!^=9t|$1)r0^rV#8Jl
zHN$DiLwP*S<pkpyy3M?ha>I47$Yn-n#g1M*NIFu8qY-A{Xz~f<mpr6<n{J(A+`97?
ze~j?zata(c!@HXB;Q#(|am&<^yfPEPq;ksIb$VdIvO8bVM>tiL8fjXiFnuZc)8V32
zyA8?(@aC6TBbWZH#OQT|w02E{m|g6!@(1^&mzNA7KTfXOz&j!)2P!;TcUKSEmAY;E
zWG7)&iG7p1Z>PFtq8!6MIGb0bB_O<UW^{}oJ-CIRoPtMG98N;G!(CJAk-vb-tz#rd
z_-2Q*{HYOZRX#SV0P7lY6?z$MOEKLiNJr$A%1tY17yQVUnQ+^b+f_g$*wYixvW-Q7
z)<USHmgp)gb-(-hn52QHbvXN!!u5mrjetNkU&H9Enzt^vEicxK(nb+>+kF&aU{8p8
z{V~apz4Crt)=@*D^0bO>Y5b$<k93I_CFHylS3~i4FT)7D7wyi}qh1Z^G|>|MBBc*(
zO>O%MHyk0Da_emmGg2Hd*sc|_*t(e_L~7CI+4f$CM2C_-YMLY2T&|jpYuj*gU%q@T
zamN;h-6#J%ZAze>QLb0-%f-!c&kk$}843J{;Z_Q)os9aj7edRFF*ZI4QZ5#SY20`(
z)%ALeEODb=bH-%J2Ulz+br~c?4PC|72+r2O%F;a^YIqsaYteYQ?z2L{Kxe|~GvZ$I
zDlZ`=QAd4XFV;eThzvdH4vt%Y@@xLnFi60JyWdDnPA)SQ(|D=>fjtK?DOgd)(RbG8
z4OUI?wUvxsQi{)OFJA%mwuy|{%}4e=);x@Hxj3CIFV8ufxTe7|5dH|~{=us_#pM^0
zoZ_qRk?iO2UCrfo+JgDpV{C1hD6$c?-Pm;vn(MR`ZeZ8miCz%OZ#167oWU?P>T7F=
z1xL_C9<1#$Hocq=Vhf}e&S|<M(z{9is*efRg<0RB{moCycP8BgpB06S=S|jxV%gAi
zyxRQ$Xf_j_qWWq+M3}hkV1ds08-hfDO$*nK_#|ptwEkL&LWPb`U1zWizwCzhPdNKw
zIqo;Moa2XEy6k90ASgJrfIRbx$KsYoJp#~n#P;Hc4j2h*E`rOA1ZLGzn#W#I=!fmP
z@lARWL!h*b{_Oht3w%tma}Qb=ebhDFH}2dYz%Int;d*sb!=E<I8j1#Wkg<EFLqe;~
zMVL!i$qmXB2^kP+J8!g<hItJ+n{X^jSu!4MmLxQfuy~DWq^d8}=(;M^xZ}T3ItuzD
zzU>t>wcTjU#Z>OfQwg2Fh-~V9iG?_*>TN%<yfv@hiUDJg-Pfdk$A=(Ph=t}ynCnJ(
zsyA9maIexLtUa(7M6r5nhB+E&LZ{Vqf~-|_XyH*1?q0al3uhfKN-$h7gxj9vR=Mjy
zflVTR4>gx6A!@1RWlj0BJl%%jo^b!;XS9}6wG|8=--s5}-E$s?b04ez&dN87<)l~j
zCNE<wm2De;d5NBh%cL^s%hA$d*(2}xl+^P~b@K(kNX)@<XJ-x|hf<LBWXN4nyWCal
zh3!8KmEs6P$X_2OpN)bk>&ka`*&EoHby(5BzV0-0TkJ;ZR*t<0xY>rn7(ISFVbN6N
zp%Uu>bq{;+1*Ob=9>xSi;H<qQhQR6#)a-}3dG1u1fnsL7l)yVI<Qvwo<@k#8GI#$4
z`#h<;dBJ;znfi*Oe3q3k?KhjqD4wGTQz>R|URg1G9mo7^`JE8=_;~3wcfg<XLWQli
z{P7pbH65)<DdI!<fk^yk`sh_xqofrT>GLLmaGCaS5!cN$;yO7Sq_^P(H17fJyy88z
z<_t835iAt3eoSE1%`I}^o=J4nYxgtS&C7^ZA|zW&HZk!n*^q`8go}X`AnyzBKG7V2
z7flJ3XV>vS*g;+woaP+kSpTsvzO)S?tAnqs{>p84hHGt6)LQ!3(1>C08odEu@>&9S
zc@mNKLOof@)nWnJt;aQgBHc;2vgV%TvZSVk5L6IF(=LeXao*=HxQxf!&Nk_LLbX(@
za-l4LteO_?Xi-8?9}`VK<8dfn`|-Ob`4Tao24xXCZby0iY(TZQhRe&Jhf#rzMX&D&
zp!`sSB38LGFPh)Q@Yo1HjNq?Cod@B54{^xOxzHKJ(j;uP%Jyf<61i|1+@j}P8^<-0
zwA=qt2@_j|9vf-QLwHfzl>o3xB)29br1fB|&N`%##Y#JVJpowCMfQ~JV~d0dt;Qdw
z$ftGAwKka=2K9ws-%&jTPU0xO4kKKese8TD%!^+3&7LOy%fkHL5Rp;DQUu!dLb-PF
zL2+Jb7mOS*y0cW+NklsBOY6<esYyEmxjSzrv2WYMckr+I717DstGHhnbp}o2hzpJ<
zqI6%^3uX$UT8>$p*`kh@GQpoViw8R~-CJc34C*gzoLSZzNo^MB6KoH^c<w7KH7b19
zyH0D<<u`Pp<@fP5Lmj=`MIq+=S+3s%L%Z8T(`{9*mNn=nu$0NRN_6jnB<!}UI}q5@
zQ+nB9)_|rNqdxmYfTxJZpP?ET!|GjOhiZ#f5CiYPMg8sA<-9eDn>F1*=PB!R*)ElI
zt^D#!k?7$-IJl_?>_a*<yl|wg4F+yL%f_XH{Y;*$zEICX-Q{uD)RCtzA1(5xUx{OT
zPJXPv94^&*S)+lpLIRGlKZ;+?k&1jD6{MFwW^Kh~Q9u~4j5pAn3NtpC$lZ=wgIYb|
zC0T?5DuNfV9QgjRl-*<m&0sF6WZ{!ofb**yZt02_{>hDMjk4(sN8}{gw8WBlArRHA
z3~n(<joA8rKJ{bYqi56!y5B3(XgRj4Sa$B<mQ=>#Ns(JyAWDG}Q-15c<;<Nus2rP~
z7Ew!DC6B`fC!O3?s=t_%c)WLRj+`8_dEKgS@CHfO`>Z|2SkiXgOc`F2-G#{kKBdha
z(Xr4YSxL=0N0M29W$-bpa%Ybrz$fH$6VcQJfg{0EqQWodg7odVjDS~EzN7WGdj<yP
zu!$xqWI3J~WM+phTmrS97C94>@70O;zsU02#nOL1K#KfSjK??Lj9mg1P$E$IWwnFL
zr@9Mq7L#HS5gMF-;;{9Vp$fZpHW?f9);B?kSxVO-XmbLdwxD<YmR!)_hMcndg&HUO
zNE%}cE#QPqy1Q>`BPGf70O#~+{cM$>wtfL|^#h5)L&Qg3`RY@geg*RVK)vh3l+$rL
zD1FM2?rjE5&m|yHvuVLV>~**wUR&Eo;R9$tNhp&?wYY0%daErk&AVxUN}<5}&=~rM
znevY@o=LKvbj<oRYJOBn8gzSsTc_I1X%^_cR{AQ*VMFp49+=(irK!31wU^bPGXk4z
zo>pXMgoH604S=N`SIdITLttf?YnBI@P6_OpMz|l;miag+O|+U_uvcN0&bETQ8~UcB
zNc8(~lLIMY916l@N0Drz#%$f4F*uJ=gn*i}#@Lv{p{45tkhILON}tcLXtQ1C0)I6c
zKJFy@L*e2S`OQa$5QmVM8KIRJ>F%()oOD;A<WSC;?|gCch>ijV2?OVPY|b2?-vb-5
zokE;)gQ}`W>YM8-$j}5l4#_V<C`D^iFq5(r<(SJjF&ig})LPPrMvF%X@0umS<QdH<
zZ$Ey_3%oZuLV<4S@5+y02sltRwf%IQ1AAHinOZ2Zt{8C=_@(3BZH*L6$_ad1_VSOC
zk_fB`LO1IPjE7oB)x16m)tAAV%kaC0M%I;Gej%t)OhVp*Zphy~JL$^6?3HktAB3E~
z7NzbP;-sLl<|qrbzptAyTsAlK$h7T+_fr`rSNXZ`Y@rAr9g4GN;`A**A#R{)H?%{0
zaakvMYgV<3DQ9P4Z7%~njQ#RGTCx(;x$D8WFk79_SW(>cD<Wix>}hMbA8BbSZx4<X
zSyh@JxX0OPJyEgX$SP;lV~NPaF3r`wzRQD98Z2lj@Ek;*ro{P{&df$?W#v7>yAIsG
z)&Q}#QdrwDNTSU4Ie3|rodl|hmo_Q0LX$3H@1XT6)%mC^)KNUC(J*D4n`O37Ug00q
zHEE+rLCsuEfcntkUHzDGoX>gd<!P@c0CeT3=|foI8XdD>mjeY>tQZg8p_P6l-KxTV
zO|-j%-GpBJD-EwIp`lkQiZ3Y6gHBHHKxM^p`e<S><oM<z!qw{<4V6>kSv{c~;jJyB
zdEDX|)<KEWqW633``U<Ya|m9D&O+QIgMAopvEo;sI+#K*zwGh}HY-p2d$QZ32$4x-
z6{UqHH+;E7bxC$2TEo@0SsS5R%o(32BA(+htCL3zX{V;v8W~89d6D#)K60GNthp^@
zQNGxQ^$Uw~zBjEcsEI5Tn-ZP)P=JPaF<|}iY9>I{T~`PENOv-182RM9#L}ZFoQ+93
zEyG@u74O&}%^oPY^=1=uj8mZ6KlY=&Y}Ac4Lt`AKZOrG=5;<#(pC{iE1Jifh;P1(M
zTMP@fGb*XKIXQCoeLC0eYy84GZj6^@<cB|>56GTj(f1&J-TOZQTO_30S?&_RDu=lU
zr|%p@d#7c7_P7V|#Nv2^?5_osQVO_8tzU<}sDuJ%$cu<SmSuG})G+&meeC9JxfpB{
z76g?Y7tqE>=6v1N3`1Tk*)`<>5U103PPe(ZRq6?|37UQn#7O3;9mky#i5UDKcH>2d
zorsYwyB&ot`INClRnRy_4ryAp7Q!v*5rWA|w}HpdOU$$ss3MH6rQ#sD!scj}wJ_kB
zFFuh?(BlzJfL2gGCy*&s!CT5n?r}G!DWSUbwt74MafwaL7nf@Rv?*RvAtw?UlJ}vd
zq|PppN$a?6M2l3h(<m?20=mVnaxqIAyqalGOH1EY(ecu`9Zu?{x?7d!XAzOW!zo#D
z(9|U)xTzwfJfu@mRj0d$8060r&Xn1U<+={2yRY)ITr%#=2on7nE12k&!m`vUQrExR
zRv8CyTL9f+8D(^gFSiB>-S!hM&-ip!r3f#@&St)nF_9;ILdpbSJ|Tx~#6GuxpshtT
zyye{)TAlBJc;_xM-s<R1ufG-3m{Zq0^;p&Hz8c~&sSU(dHc`DoQRxkKaS(Hd(52g8
z>PcgrOhUiSr7!6!f!dd_lYt8ZV~(zGFA+KOo4LGc7<<SGMCs@V$Ql~`&WGEX2HzXF
z)7i23<Im@n_eDeW40`8!a2G^*8OuWH>0}{AHahdG^Rq?Y)k(`%Ls^o-g1)KnAK{XY
z2Pm~Rx1SM{zRM{YuFYh7G}ubcs#QudZyq8F<q+l{<an;RQkAOYFjwui_8ZazWO}%&
z34bMvMxL=|5o`2n5n1=6+cU+eYzuB9ZbrIuL;Oym(I@$>GrQ4DIx|)vD}D_gg6F~y
z?dbT1M;9?Kgq%DHXbm=^Iw`F4FFo9}-!!{yPBH1ni&JOJHbT1a*;{+fx>cjpO!R}r
zj*jQyy#VuJHMK<c!)N^T=&3Gxg_Dez|Hz(qZ}s22gJt{_ulgjl4;VexEQAhEJUh!$
zSE_%>|5OVZOH<K@Hgypk^hB%!_mC%jtL_mdF2c(tX<_F#t5qW78y3aPWTuAKIC*3-
zRj8`4sR9%Xo91e;2Hp8f74L*~jY-Z2LVT79Q|$p0T;iZH_7!vR4wW6%IKNC4>hQje
ziHjJ97NxV4LIVJpoZ~jPl;CBRvjSj(Yi^niCT{b!>JiX2X*ST)QWXuN1rB1QFayWf
z;ICo+b|Pv~vnXcIR)x*scg9f5ZP!+CeuZzn3Z;-J_m;nEyWjl`V$`OE`A7003woYJ
zOP`ER7QrFpgxWVeCi;?_(7+-JqR!Iv>PgZ=-lr>X>aRUlplz(@my;?e4(<!NQ$-9A
zL^`&ya2gWe<OUMuq_nbcQFB(meF+uZk#V%6r2_%Ug9%W$EyAgG1KW=+tDSJ7bE*Oq
zCWDaa;WOoyYwsu&qq&UX^2my6**p5zL$x8H>{7``n)1GS!F{pfwi8$BH^-u*V$`F5
z%5Kz}fyxy5uLf^j8NEjbUVL--H!X3kvYu6NA03c{=JY&G+s9SkDD^~pr`rIz<rfUA
zS;hc{A){&Uf9!7bTlsSUDKOFDk~S7*eZB6Jf1k7qWDCHI%kQnCMLu_*$}^sYs9EG6
z*9nzvW_@&ch1YJW`46k3mv^d!9Rg<BNYn`MqJa^TtZzWTgTXw`jlDz2>5S?y`T_+V
zmu)KlU{Rio4?(rJs6EB=@r`-GSnxR#IC-h9P@oal)Qi{2fDVz5d%@+^IA`nF(j9aE
zn*WE*%<E?WYS84_7TOJ|Ri`a%6&$s~YF4k0l_FbH^@|TK7QuUvyK3%MoARjOGsTy|
zs`4%bLdb3jgc_&oSLz8-GsT&rr|c9vOdx+Aiq^|jBKa6p0|Fxf0X4cTZT&DLf{+C2
z9+gE>wl2npBWp3GJ3SX)j?>s{key^l+uCfFCcvT3ujoj4KKs9Py+V{*u3n;CYsklX
z7QYDsOK7URGQc0)EZ|{6N$<Q)PwWJ!k#T}c0<WcbkH(u^&6lz@(h>uYTDWpf*<>}I
zIt~(YlG(IMI0@;AIAF!|rlAsuFMp7f(tDHrHsWS4F_z4vJi?$(D{4g3ZGTHsW~6y^
zGp)cFwLxuEip8b7ty(zJS5kn%9=_v*2kF=}dK2LGm2<(EAxyzFtB*EJ%v?UnY1?aw
zmoGH08#hq=O(Mt5KL0VcJ?!G?{l-K{XIqaYU&G1%LJ&(mn7x4bd&yiQwfuJJMErH5
zN<qIixO5?am|f&jl}X7c*J+`Fod%Gc9jkmwLcb487?b@b1loqp&3*POsCcWf5*Ecr
zDdE|oWXa7F;Y*{HRN*`ki^y-sC{ZlR58zJz^{J6iWasW_HTjMaPVmvNAPs#Vw^mbG
z*97dJdU+J%jh92UQ+2QHi_#dP!#r)4h=AzpoJfUg#qb@Kt&oD#O@fc)Ai4~Ac{*H_
zt);t|FLkW*F$wq!+(h%#+N7(kHSD(46D2H%sl0CxYz%1|W{^X$Yb03U%r@5!DZ&%n
z0jnB37<u(hL3k9t1YmQwhGi~Ox72)RjWe+GQZrhn-O+ZTupN7QYtd=fnM9NHs_=NF
z9;RWSrpyXw{V2tzxIqbF=d!tBdd9dDl~2k;CW1k|1tl)83D)oeKjS4#g8`sHNnhZx
z7N@}UriQB~KqLllF}4`cocz$}rXoxF%hhF7>hLPs>&#cp6B=MavESlJzORv9gu9Ci
zg<A9QT||<IH;9QJvWkL)rE@@h0V{@lw+s6s%JBC?i}mNs{jWvW#b&qJd?B92KHcZ{
zQ$}55dj+7Ho2+6|voujWDYey%S=_tnT&u)MO6c^w6OW5FP+u^8d2g3}^VDSs(#h||
ze@U`*yY&kAJFJJg*h!4sB+;wzz9v1dn$?)-rgxI;NX?`l+%noOyeaKWKX{i<3S9Yw
zj&-=e(Q;)`@&<z*k8+Q-nDh~C|JbR9f_s2(z<xI7=FS!m2wCVLIIs-CiOeqAqOM)^
zSD_jCJYXK8q=Tk>f&lA|#K~iSDa_1Z3C(XadjIT)9q{PWyzCzvGw~+v1#M8FM32CD
z9)M4WhP;P^HEfcrhUCc4oO)ypd+#K~Ud~5%g%D@i5~U3)AmMEvQ5JFx_Zm>U_Viva
z@=UHcbrFnP*8ogTjzp9>AE)!bf0Ft0w1FZ)S~{ee@{UPR;SBgrm9U}^r)<taUa3V?
z0w2jRTL{h*u!5SccH(6ALx!{a2QmmVw+1jEWk?B~tnmDSTzw)?BS#KqBmYTP<9Pxm
z{p~<K1ElSJ)3z_uNLBx(@fwy?|EDASoFq#nHu_AdzmSb;t|89mQpIWSkA?j=Reqtd
zk>kY&azX8R98g08`=rLMKgtccnBtp!nsZ)<i%<Qhq0R)DuApN%uQER0Ga;8~bY+!h
z4NwCzG#$8R%|H;iub<8?;1aM!f+>1oMIQ6bKs6p8Hz6^R-e8A2CBS+=lB&J?yl<Eg
zdKC;@)dLU@37wizww3GC#CX&UEN&<y+a%b$`L6BcqZqLh3)V`u&Bhh)At8pBl`Tcc
zY~{QNOzpbl{Tq^f7!BX%-QIzKC(Ecx$iA6!HGYHsv(Nn|J?v%XY2EidUDJA14$O!n
z?@rX(g(1w`GPO=%(9R~R9f}n~hH<Q3jb!<b;rV;&!B`vYgi{U*%zM7&E?(RWP3ZRE
zFl06*FpGTiW+=1$!&2`%+w1s|>wriNGx9SdO|*<Dh_$zL(DjDeg>q_%nypw?!2MMY
z56^E_=ejksPPj|eJL?y>=31v$`@L8%PeNRyoK#0WZR+wSWa3br*<PB~56)!9k)Xg-
z$vW~3=U1txAda$z=@Q~DUI9gs^rD5LI3CmyHsNT3(8q-*vcGP84rmA1_79?_La@BV
z>kvTAoKcAU1E(T`hSyHkj`T3>BsIEKO1eQJ%jSGnBG9;<-UZNBpa7KTa~t9prZ829
zVl9lFLy#!Iwq?sUZ`rnO+qP}nwr$(C>y~ZXHvjF8cz^UFx+5ofa+*0hxz1j{$gEuk
zbITrrMsqeYE{tLw&_I%yFuLB?;iBoN&rE|B8u~b(ZQ&!hco=_zkK3rIdfb>FqK&Ad
z_qLl7%~gV1dbABn8+BJP9G<yJ@uFKlDdnb*06m~noB|x;vfF=!``aOoXYPn1q&xX_
z&yh{@0poT|pBi;@kGCRHqrE9(p)BEjL%LNUD+-A0sQ11b^9w_Cze0Ev=M;Q};$=2#
zFRa|S*>tkL7ABiD!O+H=CV|f;rwgPiBb|ILPZxpG5#Yo(KyLQIiduSHxYo30kZ0Y#
zi0854c1w{3z=$vLhl}M+ZUSBC@ONKyzp}J<i@4rHSmwg2D~@ea$GOT?JxR^c`9Y|<
znr0^<uKTaHXs6;qpUnPhS@Cq65Lr47m3lo8y;>o4<DBVUh)bPJ%h4l5=NZj78^D`H
z3at3s7S{5W0-?7#g{|m3oqBwzt9Y2SaazfaN%0sObC1|PnEbd$m4w|Z)IQ7wz}%Qz
z1Pb1@V+qyagw5L1<cwG5>~?2Qw9Fl;Qi_GslFfsE52Ojl*<{|>Qo%pA4`iBC+e10u
zmuy%$@hSNcDm*o9y9|HVymongZ+I|h=EaXPR7ndp4z-Mr1VKUClNw)6ZT+*kPR~X0
z#{W!8#t49jpdQ!CcWI_G%-YV>j_(QJL018bKb)i5H;df?6vbB0pC3`_wa}`60Vd)N
z3l7g38-;zdJyy8c!GeOhR*V?l;*P3+SNO#A5S$Y=)cI<qIr5QxS(Wc86f<k-V^qf|
zW<5Uqni5pgnhEE5{sE5jq+{Panj2LEu&Ct83ioUAC}vrc)-(=|6t&^gigkr7v*NZa
z5VU)Jqwo10jZln`)YGkns4Auyzu=YeAedG-O=ZZ5z*xMm$f)A*PLgMHSq>mgl}jJ;
znVtZDf)aC=h{5QRt5q7f2bh{e4KXmbmQ@LMjm=|CV7_biB5z&+wO5M#RG%q<H4NL<
zpuUq$MPNuoTlpFA0!9nmDUWi!GsESY#%5YNLx?6YZV=nWFa$L_RzVdszwp=NE_EBs
zzDMEKwtaFv61%S<CNo0%v)j{8HMM|%@9j(;j=zDgv;Ws9ZkR^4c1<195F5v!k8PXW
zkqo|ArabU4DH`(RdO9(Z#Wk<jI5W8dXt~2L(J?<x5cJa*a1xKRG#idI;?aJnfCJC7
zx%0v;@ML;h!-$bpoTS>VVOkh$?kRFAeJjr`F2OH=k^-%HeQ`~wF3gCw2<<X9GEgs}
z*YU7+CV5NE3EF{(Pqu}ny{cBXG`sdLZws7fUg}xugA2zdVNWHlFk29<5Up>*6nPq}
z7F57Z8jOC>mstUaYf!1(rb{HfEx{F}fc(8ifw0U8rtoB_$OAYT90~SPv(7*24|a3u
z43i%YW379Q3-Xpc`t6SOviUf$9VmlaPB@HYTxl5apK8?<(^!wDympZB%K*PW9dJm}
zzRPneF;ZRz!v%a{bKOoTa>RQQqpf3k#D{Y(%dlbB03)l!5+i^qrr?Zcx}0SmPd)hn
z3@abx3zJg5VmTmCcZpoiackFAhthm}W2iAbXqk``W{gYkK9is=hCC$R&iQMReyZj{
zE!}gvi+<-H>MW~iMbEdKSSRRX2}FHKWRrI?CkjZGQ;6a>ox{HD9}Tn)=>n~*?J~3`
zVqE*kk|LQc_whnig$v_R0O!%glxPS@-16I_q6Vz;sb1jd$bq`!pozz&0zHi`t7xj$
z4_G&H+A}4&nlWYU5VZ|)G>Wt|YlNV{GA139w+xqcD|4nKyhUemz=>;+ZFn)<9bPl;
zvuF<=>yGj;iLnbe3?IfMZ;Ha}v1;}(HWS-fXzMjw^pl>VqUF=E?ZWr^C9g8-Ks;R~
z-Vi(F!`lMNVN=hQ1Zs`)BvpT<F2IK~3yQy~vtP#3g(ZQstM*R~gwSCMT~1CJy_GO=
zVl%kbBDT@V$q;G&>_1B)dQ`(^Z69xry|qbSZtThu<@;H~A#?Brg$+XZUp|7YZSjM{
zWN^5aVZ8=MNM1ctqOTL$>A0$Y1`$nI=wDGVVmVmHFV$no>{-Dk*%qi=e?ljCZG$>W
zIc>HgzRJGjNduH2pkm&W7&c$8AFye`6<t<&DiBkCvITlyJWR@MAp4(9Y^)r&dl^<;
z%`{kCc_G!bZcQFz$WRZy6T+Rl|H}}xkkuFlIsVp`w3<*NYNKr?d?$mWYA&x-g4%s}
zOeIk7za~qtJd(nRRRU1%{gEsoNnh=8)sJ&B50KT8SGzU{k~iPc*fh;Pryq{@!}_Su
zBC@xL?l_JsSAqO@O_r{~{qrFTLDv{8lf9z9!UpcdKT=T8Jfot9-!1@;dTQcZUg1y!
za4K0$7~>m#x>SEjx)_8Q{4!~7kczCfz0=}{gIby91uabo!5up!&7v3>$0YKO$YQ&?
z#S$u%R*^YhEPk>=HO|bC<M3=>$|?8nEwU|#5Sdo^APmF4;ME>bxh^f)Bn|zDu$%Yp
zYd%TF6yI1bKHVqpOVDT4L6wYaDJT{BqC{%Ze#6uv;)9=82rp{2JQCRc$apNYYJw=K
zV5B4IYue3;>GRUl@WjbABpur&!$9qzqxZ_izVxf?j}j_ciBKVyg<m1Y{KkIJ;@qmt
zkJ3Pnxu(kdSRJu@yRjnl+UQK#r8|uwu~ty$u59m;2SU59bDlrH3IAQ_Cc(3t^O^>x
zh^IvCUWY-OuvK;NH%@U;v2M19G+Z_&ILe&qE7>c5nMv}h2W?`oi{%z*z@&B*2sMVz
zdSUGY(1(d#Lc3yjRuV<x{Gj)dv`Y`B;haQvNj2FMOKc0y67V8lK=+tidpydfR5B3a
zG`@4227isoRVC=X?%4Pp%rOAqgKg1SlTFO$%x+v{PEuQY{Scpr0_Gj??~wKCF~pDc
zS9$7BhtMt1OyNz*=<sn)ua4LOBi>Tv+q_Vxi{eKPzy&mDI;qRnzt@7*Cq14sbak=>
zm;EC@dg8LAkbp*8@1<Q^LvXBd(=Mwvm%1RgAjqmg@<fP1I{ohpAF{SB-y0{^LTgEO
zp22sT7oc*ofVZz*{Yu|Y+(kRMx)kfr(dw>i6B`q8gGdy8h9Z6oQmdHb@423dZYo&e
zyyce?TFe$`ay`}%Twr@iGg-6~fdsA2{oKkhg5~ZqAchh)^#lXk9pdHMsn=55$MtGH
z;DLv)^-;4UwA!j)z%y#d{IXaoFGJE86EN=Gh!?IBc46sJN#uDhtx_8HGJJdMKrg20
z=*nD^49f1ou9A93#y(_b>AYz61qy#R0G1H55`nFZve^u)7Htm+0hcx|n*1(bg~1`$
zKxBb(Es;0+Z~4P~-qK~_&Krw@Rjukw0WN8zf3-_P0M)X9olH(D>bkWp%;RAPzP>oE
zod)`jXoN5|eyrDxtnH}``E?fS1>f0tB#^5E{BrKuPG>pZkc%b0%>aRk`kYTA>KUx7
z(T%we&MSPO(>V9n@vHGTuLO+ifV<WMmT25O>^Fr0Qq&E~C1VqsnCV6*6tm2*NSY&m
z3IN9gR%uNwVSfS(Q6n>{JlYPD9^~-YwA$Y|@M}P&dnG7Rz`5uS!h1O?vDLP?VyteJ
z*zRUZ-_zJour$Xq9CixNW`3$?e4<nwZ)7tOgKv|m=RSJDo@*EptO$Vjhd<6-4sv8{
zP{KlV$@!lf&MnMMTjcE5u=E-0szh*|K}!*wEP!ihG-0wP<d}xR^`R|=qr-hqM`e%I
zk2ihi-Py|U^MaEOTN96AH7NATysnrf-m(>Y`H9_Gb5sgh#n1j;%q!n-BHB4(-hq@y
z>Rnc-%8yFe<?>Gv4b|BhLvZ@h@4>zYhcgUvr59o(sLr88goh;ESwSWih6(e|kOQ>Z
z{T9A#B6WRgMsCIa3~vec+}AB48&#8WgCM5VbKGm$4JeB@{N?^q`l-m>jSP>C86MXr
zZxAxie7dk|1$lU{US}KhJk7}nN@6|?P;cll&&yy<wig^Yj;Z@bh2g%YQH;6Fu&2QB
zWg3ctpUx<6lAmob(B7m^bLR`I)9I=WlY>O&>E3l+lUUPU6xj+sFLGN6%O}{f@4EAf
ziOL>b^Oi#m4~@lYeq=&otmYD&8XAk$P1G6Gm4b_Q`Ue=7dK10?*tv=0y<CXhZj6&I
z<5?=i-AVX35Eq;Q0^Nt{(&J9zf6vGw1%vN4`Qi;ckQzh#3^4(LNqVmZ_8dq2yE@o8
zXNu4EOgU)91Wt;{67;b_)YRY4ntJS9r+y>NEDOw0BtLGz%@{^pWDoA@j9{hHvE7@0
zCDDupR>|z#kN`dK-vs})=<#9%s)L3lTqxH17rA_|G0(^0axy^suD7m9#@63TXA6SW
zJ=s#?!yVq4MA)XQyvdfS5bN-Rv&0=22>?FeM{MW@LZ;_V))z!t4F^T<Dl<HO9DnI_
z+Q#n4`w?GsdSMxrsWN1y9&K)gOb7a7p(_~mD}bEFbe4vmQ-74H#4~BJ&~|P`%}Cgo
z()?pZt24bA56;W3hppE67Deyfo<jFN(4>wJkl&Y+Z@K`e`W=u)A!*=JhV;_|3D(Vu
zzi#GKxN)(@XXKP>fkV;f_6g6g#gZ^ugT%*KhI#?R)VRV6{ycIcmei5^4$5IR`GfQ;
z1~3WoD{~oGc*qlJ$SwB_@%9%)b?qg<cp_@OU04=#&8>2MCfKx4#9Z>}gIK}~L#KX4
zjY`T8{C&3MiCc3~h&vPwromHI%`lm8od?OWNgkLU&B>ET@>6pyWqg~%tx3KBkd*Y_
z8xi4BHtE@zdYaL=(C#{(FEh9%GjO<@<~4HGbVv&AZ>fB8>fWh(eYcOjYqSf<Wks=H
zovh93bUce)TWz+c+q;b3EFe&W4a}*~l3RY47X|Wf>H2jQ+@>J52;9=WQ3pMoZbBYG
zA6;v6K09&CQ1WH;S&~zhhWyE7a*8g!B;_>$ay3u-UiOw-1s!_IB4X>R2{qN2$i7Td
z3o$TgKWe>kn5@7ZM=nUk70Cc}HQa)UD@p|+6<AxMQ6qvDh=sS`7G96WjbZnd%;JJu
zeg%z^^rP}-KC(N;-wNI&*nafyS1cc)gf9XQ0Usy=>d>HW1xpAD4`ymN?$~JlQ_#go
z0<`R|O!{T00B9M#q`0_Mrl;ditF9-KO|O18;T!dZBMYD_CWe9lpqdcqr!{!1$|V-&
z+wA}t`z&cwtV_80I9c`kE0j}rf1SV-?KG2itoBbbkad}J<*F=ACI15=0hcgR!c0@b
zTqg+2AMvFaUfG(h+KouqO?%Ek+8OAP9o2eSZ!V<(tH6ssM44tq?5_-y%d?GvmLGg`
z(=xrqR!N~DAZF-?Oa9ginV%YdMBLbt!UG)8m%;=6Vh%MDEYs@M=v!hA&h(V8PHw+8
z4*Q_dNBw8qPktE&r+w22_FY5@2$O15xsRymCNN=(*p)jq(J*4bVSwjrU(Ec~l^J^y
zG^j6nB^1%yLHIjlVoVXm3;hpt8uF3?CvP058G(btiY<UOl+c8Lpb^w`8v3~u2OxA~
z!&cR-Tva*pcLmD_zJYXTjc8mcWmZSURSOHLkc@*z$l&al<j_(Q8(rhRyPZf4ns^&7
z5&JSZo^pC9&$^BZY%!BecJH(CFZ*-E@T&Ie+WlX-w8=MFm7|6&m9kmAwS91O5(mkT
z$=n9KKNgzq9To~MB;7+w)-VK$`(X5OLJheD)LqC?)1!|VfbStEtVANwmbgU_$L=yd
zL-LkyuMjOM>vU1jN?a^B-5SWL)G?q0iue#yzMQDI@&ZW?N9P*q7<rt$1?NYs^Tq6>
zL;hR2;!Vc?kS1~6dC_ED0F$S<KK4Q90}_GayGdORkSx)N8<9@cg7cn>l75EyOw-_P
zN4YMj8!oQTXoyL4a`E-`oJj1su6Xl1QRqU!CWR;CNW}bB(z5tJ=t4_j1C^H;D>aEl
zN@*=yR3F{R{Amz$#2)&ZTv~DlpI0x~c5@<qh(MnlWN*cMD6h^qe_aC*sf4gTQywfb
zw%IrW2cJ>8R4F<8l$&r4sNaJW>5@lSbBtIi&R6#e6+AgU<@2(jJ4Hr;7d?SR0KcE2
zgd0QnTh9PlCd$E+k9&GJqvlzi|LJe^S5>$oS=Rpi#OCP7gx#)xyE-&?x`0v|r}d33
z7e<US9z(-#*dIve&IhG!+~Xq5J5sD<{^(PPwpr6tEvJJEJDpTytDV#>J`t*uJ~96A
z-i4vAZ9-2eg5EgO)i8u>@U7r#!v4Lav<W5SeJ&>IM0nat3FF&ohQ3I4#Et_0D7>Mc
z4!3$U5Rqhm(?W?gsGBDN>5lsyV}%GEzw*g-@_jHV@>jy=P|{;B`PVLF!gPK9W(Vto
zjDb2uo+=NxQ|+vT_&P=WEe;pyFZ+#!dod2e$&Dajh}!+hbvDbkSHOW9AISIrkrrr)
z04P-=>uSds7eNQ$5?>u!Y+@(Wsbw&(Fn*TevD}NNox?-TMQdd=*b^GZEyOYtGLE74
zv$^LZ0tfnw<HIM<(sODx8&n5D7BUg3YqtUX(lDUa5Em2f6zNqwwmXjq2OJrC9&h}l
zvF8<lNgG&4XZLI%lM!VDf@lX&fC0T!F>(OQRn<U0&3@}GU%u?@l7v&ZYv-0PE_;8s
zunWVhySmy0PKyS=wRgr=!+BE4^oF+(c-(lj^-@r@5p(1TVnpbJ?c|%kK|FnN7uiP@
z%Gd26z?OQ|I1VOC<t~PXTE@2<5HWc%0k_VTx+e@T3$6Uw*dYm;3~R*dKw;~az%a}Y
zF{&PZJyFT3p*|p|?l4<gF*Rk?i9>}MymE>horB$c#BKfxZHH}&nOnbCZwaIb_If%(
zqX$}6ir-1SDL-{S7;}~FJ6X#}SlZk<ijr=KM5SnE^!%-~R^@O1F_GC)CT&%0jl}3{
zG=LB^)MfwgfA1kcIE&L_W3mLh7g-OC8;?SPD)@$c<@%}+U2!1>Je5IL!gh0^TA9>i
z%65O^XC^$8F>OjUTbIp60=$W|2^*`GXmgo|PWtCSA|jDFt8n6(utwz%{c>OXOujQB
zzIVb4K_w18wQ+S0ysdX>_lXq_AcORQ@~O(9UI|Ar@myi#ceW=c`)p(~qfdmS?u~z_
z!}QpR)yNgxFJiMS;2mSfldMMTBFC!EuxNbN6Gq*Qu0q*><TI^nSan#&CQ!m-h5|U&
zL-_4F{iCKi-O_19KwPkMb+uGz`*ymXmo1Cu1$hhJ&n`_j;Q9OG5~punKKE4q+;s)<
z-2pjh%!4&@wSaOjGkKGBMdKLUM3?rn1+mqdW$Zb6`)#EEw*)zgXXnfTdKy?aduxqi
zZg9Ub(!S=DmbZUBk&BiRUW6(O^7cICOD~%a%sGM~4s^7J7=5<BvT1`}<PFergJ^m3
zStKV~P}<+oNu<ysgPx#B!Y=r{Naq|F8(%45*lr|S74m+G=>173$7YqK;UT2!azO^b
zk(rM?5a_a&t5Mt>0L{0!T)OV+&$EHP3Xq%pXRrIgWZTvmhk;f^Z|(lIl?6OPg`X5k
znKQF*8ySd*oL!@Xhv6EbI`Np$@vdRmsQ5eEtC|gX6^5r*`Dys=_C~>5J->R_AE^<}
zdHb2&*eShupq!p{pM$_qDqRC5*~l7;y^@qA-CT=~RIX@cZ#Tc=25A?j^Y=mkyxaz`
z6u3F?kWv0D-jT6BP+gY0RrW^JQK(CM=Q~FNW(ZMK=i`u?Fpjy521maiOu7)Qd8beA
zLu&2~jR`d&s>W0vclWXuLS;M!)n5?w;kN<48{)i+cNJzzf=m|*h|lEjCIiaQU?t|b
z`;<J9cw|J`F!eb}i+xv%?ZSqtC*t<c!P?ypqt+UXxjCzk<iX)8bQu)Eq<U{+e}>*1
z5p<3MA$4a|gO|L8$(MR!bpXa}8AZkXrhlXVZ?+^|aQS5F6W@4*%Uh1`QHncnxn(^D
z+WB`sl-vq&wgb_{^HmAVl8Y2c)MOq*^$>Lz*d8qy><SK(Z7zTq+5MgZmdBz=`q`rH
z{sT0wB+U^aA|&WO_zoWKpT=c_i;XSrnKX!6wY0~wknxXt5ZJeSC;k&xBqv`eO57sz
z%+!O7D=@M{;HBEB-xVO%^dt4YxnUhpmva)m4f5Fv{9|$qW^iJvk@M=m)PP7Kjp8OW
z!&YHuBbdNt4J8KHxk=#&YW<^dfY_(O)&=2owVXT$xGzo>-*G2}NVcQe)iBuu*h9W4
zJ8AJT92rTa9L4pH)%mLjal8_`Ct?7&$jS8vLua%4<9+ts7fD_m%mF&&4U2&!{AG*R
zckQ-TW%;9rt1(Cr<NXU;;rzyrZc+q=ZNWm6Bj0-6j)VQ*7Qa=r)RwVKCQzdpg*%i*
zuCOt&L8LZ{IID4<K><YHxXi(5V7?bH%a=&!2)xf0_sxAaBW{3~U1H^||IKK_j8Bhm
zXJ`q<&HW!~4Ff&{3oGk?Dn@*ECU*M&R808)yT#{VW?=fiJ{$c1x6mf08B|%>3X4^m
z2zCLVUi@`#JH|O^0fwF)=HGHIV+N88Bj3gWS`Zf(mkcWw4}-wVb=q;7`TY6S+--Z&
z^t!#g`Sh**G$>qMIZSMEX#k_>;NREo-r{HQ?+&G<!vlagIt2rIug^$-8nA~rqhnxA
zB7iu7a}9|6p5(^`YYgNYN2%U}cg3WY_s;|e>7Rt(Lq$47MFR!`^ybe$^MldRHv|Bs
zlB=iT55men0RrtXV*1<F?m5)|0(Te2{QC}Czflk9E+P`b@oNu0&Kabyk3~h!KLm9H
z;OIMUZUhQ=*0JU<V1N4yH9)x!5Y`oWf9LMu;h@FQ<<!-GRkFqosH@)&%#VHq7w8da
z4cLbTX0FK*^m7%Bl?9o93*h>zRC{U&{@NHA000jJu?7a>;&*rFzY(bKA9e)5qvGP9
zN(J#z*6@)BmhInX3cPoG^3AoSx6=n4P~gX|wZ7KQ-lZwfGa&EfkMjoz$eg0WX$a9?
z)*p50rL6#Uc>8!@cVZC=rlHZ7{;kN7%0IChuK%K7pl`#eEg(Q=|7Pn(fBY8B!#B($
zy^(N9b!TK910<x&=(ko55C(XiJ9<0obT-K)u+v?@=NHITzr1GqmeiU@+XE(FpA9~~
za!`*Hp76@g_ywPx9{~acDhdjK-xdI2a5Ui5&E3aNZ4OUzXZPQD!<Ubajy9kxyo~?X
zfNOpjd~01-3K;}In1}zD&u`6}UGVfIbUo;1Ki~?!7d^^n-Wj}M{C3{k{+)q7$R5XC
zfLAxb-tFlvUlX|JdM7`@&Tsm!LoYWaC8nsPD7K&LSDUQt3@G5;@c}x3{XOIZkg$j_
zz+fQ1|F56ed@Ine3g{i4no4;NH2>4AAztZIULemer{7ASYY^<+ZUeIpt~fMM{m;-n
zI=?{v^ib66Z^pS_``0hxms|2L*4S?wJ_$U;5j@K!-p6m;#smh;{m<lHKojmA_>WaP
zw>99CpG*wD-%T~xINH_zSD&Uz`|=R(xZpK`UmW69Er_VUb<2P~Rv6#khqA4`*F=GS
z`S{i-uD913puGc7pkJ}qdJR@tc($-lV4`3709>@wJ|#*)8*OVpyFYpP2>noCO%J1B
zya*9;@(6pApY@Tg_``VEV0ZRHI(zW6{$Vd)fUdOkSG#1C#1MN4-!vb<kdMIb%D)0Y
z0JtrE2@nYVMc-^ls9<;M-$B9v+$+EM3IK7_yWy_^E!_Ej17X-Nzk%?e{=cAjgaSVS
z-S83x|LOwmA5c8+?SF^fJiq?GEQDC_f3Efu--3qWA3x!L4n=_i5b&|C-Z9Xz?&-%i
z>R+lXH7x0BYZ(4gl+qNfT5I<{*2BeNc~2>~R#wNOu7y}%%!v)wVMSJ-GD17|dB191
zFc4`eIdAxWY-<vq%UZV>%=(aC;`w#aX|0L{JqJtanQq>uW#t*vBU?f{mSHO8W`#lY
zx&q#(sMRqR*48;Y5F46GnRQ8?Va(W^6RTwlTt)4@E=s?ztm~2I8uoXX<2La91mLIh
z_N9AfbNR}Zr49#N`yq_!9a(iwp!<D~m{n-!&GtkkCM+Zef<1rTkApPTZOLY0zE|5h
z%tKide?x1Gon<~!>5juy&8C*#pjy8UXJ=SwN2eqPf~N>Sn_Nj&Nj5%ueHg<8T;b_0
zt0GjA4brUKWNZH2^P&m2&&j8aJyU&^vCWx<Bc-yaVel%h1-7un!D$wwPXyy=i^brp
zw4e0dV~zEGAMu}FxI>Z<Y9j9~A(W94o9pyZtx>zXN#y;WQyb2|cxuR;HBLUg0pkij
z8q1I=mGV1%DetObD&cUXR1y*jKazE^vaAJy1Amrk?6k&=gPupTbgpC%U8;`mM*9J?
z$p(aO+NkltZk?*kY2~H6sw(g8flX8lTJT!0jO0$BF8rt3NQb;%l_5{CD#A6M$Xgvo
zNyQVZtq>X6Z4gDt##Hg<#`(7QG*%r4P2QtzSxqA9Uk>gjWSyRuROZW^h(j-CMX$Lf
z=s@=Rtxmz&zU@MC6<_PIlVjE=U@UhQO>hcfJT24Wg6dEXBbwvJX~<KpT67yT+-mar
z(~gC^4OcphgH-m!inG8Q##Us5k{>Uzy*lON@+~@vRc)pobCpMr|59t!v2?M7b~eX#
ziS>tkKl(mo_R^l1?V2=@c}usR4}gW(<_-e#lk*9(rQ9)GNZz{tZU3A(3#4xc1XQ=(
z#tb7;6Mg}vgR=(fbMjG^^x_T{k`8T$`*lyrNd|OwaC8lOklOZm$CJmLYw+ppbJLhH
zuVN~1Yu%GhiFxL1jS!6_G}Exp>t`X?5yCKjPsL=eam`WBb905O+}Yw*VY|se+_dMS
zeH?HsyuDLSV&?ZAnQm31D;jpdu_>W{itNbh+>-5(A3?^K!&fRC16=ge#80|Nf%T_Q
z2D#}A<u|=mbc4RgJrSEB!vf~RR_Geam+cFt?Gtvuw)1W^Zh^Bd<1Ztqyr+y;+4{om
zj-$K?*X2_qLKIZZbOn?Vih6`~1G#a5G<OLT7#c1-o0+!LRm>)B#@~OY3F!j~c;d~z
zwg+48L?1OSgWh#z%ZLPfTFF#`@g8W|V~CjV{Lt9)LDWmytshQb<Ab_Sn=M~`Ddzl(
zM_O-mLwlhMAwA1cB*>&6ifLQ1Hpk<%w`0S=7XEwbj;=l>upZbnh>K*5y(VBz?eKG|
zrOx;ZjUD;Ph?=BnlSvFO9klmubm*d*Y~r9%{7$h4^v+iW?2tW<ipwgz>CO(Yv}v;8
zDd7H>6~lvJgjD9*<*7tX#DgWs_KP0sK%e4xhnSx#o*Y`r5XpGlg(OCYZCjyYp`hh_
zU<=RjF7}xB2S{Eo!<rls+eG_s-F=kEEYZ6AWPa9jv?aoKF)9y>&=umrlS|nQ4w6&L
zgJV|rwM?D5HM#qf!{j{Y9<MIW+q4YsZ6Pd^yO$l)X2%kJaKG|Dj5zJ7gv{sh1i?Sp
zQFgv1`%bomG&$#$Wdj<coW(kuaS_w@`53$JVwct$tkZ{MiBs3AYr7MFXO<4Uw)Da@
z=1^jnNc#j{W8t&Q9v+urDZ-I2YGyHH)1>4O{>63{55kbf!C-n%r^!B7%|sG^yzn63
zd|P1{0Ago&5ijrnt{jnFZzYcJ0v0)^awNe~*B&QfVTUWvDj5BSYo4bO2~RM62}3a(
zo)etJK*GK&bwpfE(EyFrI@P-fZ(V2NL!_|M4QvJAFG`%K&l(c@M#<tD+Qu>*^v#VQ
zlTt2nHUM?%jV4xDba{nktRA5smLLL4H4q@`%#)gIPbJtRSqxPp$<h4l|LjXpSR;wA
z>c|(EBY(*=pawHEnauHXPF6e(+a-TnnOpy%bnu8q-A=V)<`pR~#l1N_eVRf&8;+1`
z{rCg?-K)*XR3Lut7R{wn$FmXQ5v-OqZq9F%$vqlPol#r?;Vf)E)1CZ&Z4r1gyy;*a
zMW5Lx7^+h*TA}&oyI=aJIw#l58M3A?HP7R(@UmH<-%Ozw8W;aDdqnaj<B(L50@Slw
zpVS`zM*?A~%W6N9p$7%>hYh70rEe5UgtK@)M{ln*EEb<M-0Sf;zEMWRa@s$W1NC|_
zzZZT+<qXw?QiO>^^iy80FH)Fb`r^c67ULZ|+hMqRMN0vQn#u!IsimssA=B*AzKwz3
zj;DgLc!u?IQ^*9qF=qi`p_qk*DaCd$HU?W2OMEdCG{J&WD)Yqm?3W%*&f2pBmIjs7
zl%pp^Fo?@(d#+m(r7HG#<@{q;R6)?13G_=ZTI^n7)=ml>W#_7u>@er*rZ+9m$%$@v
z>R`;*9~PHHl9EM?zgvPitp4R&8+aD?0llNQ(UJCvbhWKcOb3~A->8&FXxD*%e>PHr
zJ_mOY4Ku-uT>O>Dq9q=q?okI$<4$`rDpGdlyd<>S=W+J&RNE*Vtfcop6_cwY%*KHV
z*jE0gEadhKlV%!WTb_SosSNuFPI*LwXYe7D*mvXIGPEOU$Ep<xRtU~wS9LtIDLKT?
z5K*|MPlgkUw3a&gSbj97=oAWfiI(PNCaGzIpCk2>hzfsXEM&bRdfzEFXSP&jeDN-U
zxc1IQA|vFVG}JD2^XV6OIt6@K-xK|+g3sUowUx2YNF8d=yz0-2?sTPie2o*~aVkUV
zS+8KwP|n$(R!T8!&4dv<CkUxqDl2cRaYppudD?GleZuKvAFpEsE@H%7i+iLG<YE(P
zdmMkJ{6w*i$T{&WPprYHvV(~OCzPDtw*dNq3(PMzL7gU7uagY1L@ZN9E=8EML_FSL
zM=Z{dr6ok>y5bd7vWhbd05k{*W~na8dmOiqs)}ie(5)%>`xMl652Y%`(4&zud!?44
zaWk5qXr-t<Fl1irP#cT_`s^tHz1BUkVjGg>GyX}5tGU+pN)XKTQlzpWO+km~@3`4B
z(@ZP8(|kpj_1(KVRCD+a+D6(cRc&x($e~8-(3+|M3fhRtwy|Q+fT%s!CXvvkV&81c
z6dGE1<{QrQIEPZs-V>-#Hmy0A>K>>gg(yXjSU1YQyC3QZd9Y5gA!;)a>dhm=F?dFq
zmoeWbCp6A5xKWK5_gvy5@L9G$X-u>FwGY@H(`|B@*6pHi>TPEuUlOk05kYN*H)-pL
zQl|+9hefM`dS6BH*Py()(8~KOGX+aQU@EHek_W9-4h`s$8Sg7E<4Dbcd2L2KW0M-I
z7v;haMw$6K%n9y?kf79<3S2Kg5C~Ay*#%XpBT&B3ZAl-IV}R@B`lsG`n6g<Yv{vh$
zEHdz=N7)KDJVE%``@X*$gLBs;#7L1+#4|;2Z@6CboMiiYqe<0|FLUA13U()6Mzm>7
z#BKoEJny0<<e$4}d*guA&c0N7B0Jq-iiOl=c$^ODtvOpL!h7B|pc5P{C1*C)D9@hJ
z4^nrnq_oOcU|BEW&E?Svu&z_vW&O<vtYupBC=^ep%#CMknz{Dqh<`x=0CFMSp?$-s
zu-I&{^a4t*21;r6s#V1!Do<RFYtTzQRCw53-AKhL`OyiTo*_OIE7%Zhj+{vEP$Jmz
zXf?H;7C=oSJey-|PcBj6IY7mxFh`4*rxNdMe&?BOFr0rPGiNljwsGD9=nvS9>B_;2
z#CWrV_J!fDA)SZ#Bs!&-c0|p|0xn{>jrWO&HhecH##XcRApMmjkEyD%@L$+e+h&5|
z{=5#tffPMyJa-~$?MV|3`q^+*m4f|_zz(q{u@g1)nX4Tvu23xsW9eP1S%4OtIPcs8
zk!B1u7!%m0oH#kR4A+7#Z#zWayNM8ZKOw`48Wd=f%9FnUx@>?@HpGHN3N4G+U5C{N
z97Q#OKe^{H`z$xcaYlBFmf}!ra#5dIh2?22xRO;~dDx|L2OH9(`aC{DV0qv0$!$z+
z#DXKiRZ&GN>8$mu&NO6E5~9l8Zvl;RYWbs}L}T5s<2FG1bH#gR%-fm|+QylUBvy%q
zM=ybiVWKDD^N6a>!uCG5--5A*_%<%DK-$6Cb9zj#)}k!B2JBZV50_^%jnRaivLAcG
zkp#&mPx)o0KjSfy#5q1X5|5D|!`?wNo%)c~Zg>V?s>b~R-@KlhUC&1WI8UvAdZ<l_
z6!nBIFp4FkMWVdA6~C5uUSYY<?V_#ggYH}1l}<pMdXj`M%02A0%;;gX*eZAOru*#9
zIUwQwk{YwAJ(Lw1#g8tR?!?-`9SpYfK#3PQ-ay)a-BVJ%CnTOC5BUP<JT>7tZ3U;(
zsY^rAejLt93mG~_9GVvvnSQn6MKKzgx;*XEZ4LxOu3!c^Zvf}ZXal$mnCFaXg>las
z$#dq)bIU<OE-X9)^pN$XY$)E~j8QxYbXGVn{V0!|n?KRKp=R6&mW0{&VC@KOrW7%O
z{0p%N;!FFvgqKuMcU<FD!Tw{FHn&iu7Tl{EpHMjiR`a&ezc*d8Qt$5nYsetLG@nwV
ztUiUmTx9T-&}_xc`MCn0em0H}q=i0PsK?NOE$kxalI~6Hg%JfCAJ0RaDZU)+oU%w4
zdf68%?8!-Ix01k=qxaf;ydsmBo+4#A`5CtD+p_n`Nq_xxnH`+&(T4|WriQItM9rNQ
zty`Swin<B7)NpxXA=B9(`7R;W;h3BOT)3+BdKe|A@Ij5smIOfpdw|ZR<|-ZCZ47NM
zIsGSNRX@S!-B&?P@<-w_GPL72MkBbUGh2+QYV~q}*R&tqgvB+m=p5eDfuAoC$3wVJ
z$_!DRiS;Zax^(Jt%_ng+%~ho*OKP>idve*1FVIZ?eGvH!QCbcv9FYOJ2uNg*4qk+p
z1t%1ASr`rtf)msmvFmbN_0G{plk~=2n<mOtDS*YaqU^J99t5^8)N4V?Ddj88TPATa
zmCZq;zcCDIh_(vir@ho3r$0$QL@Xs6ZA{mj47A)p?3gR<ODQ4`jEaO-c~%Pa;-XF-
zn0vT;o$rx%x4F>^3sX6pWRkAN9dWisDxE4Ut~;<7H9OXp$#$>IMR980kbg)WJ}W*u
zE?Ty_IF$6K@|V<{BT;j_qjQw$dkCA9mRyE}llwJ@Uy@A9Np&418bh<!F(bt|4|kvP
z9E-t3fc_1Py@ru;<fCF|sNAS>e2h-Xuh@4;Ud5<rBG#vbUiyrP;v{^!Z35IO;)z;k
zKtYbSPV$8YHn1bO{Bn_b2Vp4Ct$k1Yd^!+;g`?|^d*aFmbK8wPU4K^wHPjOj9DBw7
zh}-hB*WcAT0bZNwzR7DJr-+zQt@;N%1Ep<#)A&Q<&j&l^xrV_8DholXSnZ<1dn#{3
zuN!rSh62Ra8IfXawDFbP5z;QnUen*gOpM2EA}RzG)XZ*@*DKt=L~aNI&*L8unC~Kc
zTDmO_3rH{R>lZUf&!={oo`+lOHdnJICqUUbSKLv@BB`O^;X{OXcf!v)GA2k<5rSeL
z3cF#)0U<hB6K|MGLe5K*7r|D$ov!;V3F{NyMvE+$y>9Wk?l;&sl+*V9<kH}dg&sCi
zU2jV{#;iU*#ho_=6lH?_j{e%OM7iCwbLGj*sXOZCn8^lPt`o>-x4y?bnK=&Qoo93t
zSUzijR~ycGemKif4(9>5JwBp8H5)$p@))yR7b9AZ@5n60+^za2DYRxW=A@R*G2IEW
zQ_<+=jXB$SVzR+H$CHmx%e#EEib+<0xq1jWW*1=E=$yOI5n-ch`W}{bO^8%#+qTvg
zO7w_J8yO5F<^w^%$eOLJ<oK@Fjk4*N?{OuerjA3am}g&DCWX|aS(a=!^HQ=g;^}>;
zO$AKaanoQbX2UaIN8@B>*pf$^U|QW236n4P!d#8shNOL5`ldq-$SB;1o0zI`Gq{}I
z+wvVH0<hK=aqUxiJ`9}hVfzbmZSI(U7h9I$I)fU;zun&`MfSd<lvm*;@MwK^2E7*2
zi9~T;=(h9pfBzyq-4wBI4xXRBa?rm}6tVyo*{^Dha%Yo)^)hQW#Ec*lIL<GX`ERX3
zP_~71vw^OurfL%T+G5SO*3Cbrt&YCARmhilYGSOuxXXT%vN+piwo@Bbs8!iZ4TrR{
z*nWLDdR+m_2GYs^;Fio<;geO<UO&G6SsZv#w!@DE0oSFFncikHz!qo-s5NVab{R!T
z1OYXI=S&R5HpxcQwBm(Dkq6yTW#%$>eX#_s?lO-?ut?aJPz%1`k@YE%%8W}m&8cN?
z5k<&;M|_?hleZkZ*YZ)&jU>8Geyy(@eP?3w>Dz&X-^0pNA&U9aW0$xbK~Y{NZ+S#g
zIVVvzbvf0w(=L{O&OVdVzC)+x+!(?nx$Y$U%)LT4!{%zqqmoA37ABu*FaPL*OUK7M
zEvj0cvBUL!?tGl9x`)4<Zh(=SY=x>;s56bZH(soRG0)9TEaJbNZw(@$0-qZ%>XC%g
zv3_^>u?@PRs0iug79BLkf#d{UL+uDcWMD16#k?rfT|NzMvsE@xEtlr-xgu5Pm%}Dp
zjgt@W;*wM>i$wSyT*MPGEpzIg*@z*$E!{YWt!dd_i}XnP?j6ub5Ub`v@Tv%k*kmg>
z*IT8>#i_v>e3d)Cd{~JdrLaPyr<Qd}8j2H0Nf`;SuAhD``~ES$nlIWa>1EY&F>P<>
zRDHpuzN5*T0}NvH%td0tasSs;(uRQ#lBG^(qhRSdBfgm^a!1CftI;i4N76t*SaZ^1
zQ&QOmB|~o1Np>Fj>B!4>-7$Aap-8UMAg#Q5f4)it<13u7f`RbDPWsVXA<gevG&N3$
zY035Xypt?35h3-!<KdCWHt?%~LP=&C0n{=xCT{l(n_S!o`uhy`*ZoCC(*A*@4ga#K
z1#5wV;@`lEJX`?lEgj=X@#NY1eco}ex1X)x>ekN%c2#!h<U=YsE6az<!o4|?&%76H
zU!s$a5NtX^Dh*MB(UwVu8c8^1TMOY$d`iS-;^zSf{7y=sjf4aDpFb&0P6~Md$J>qo
z2>d>zXab$<RRS<`R;MzFCN-AHUGET3b#c0yxL29LYHzaQ5LxM0Y_Fjqi`#|Alz7|1
zmG7ZDvB>v$=+QaZQ((S-xv3zI;Z`R5_x=#48IYcZOL)$68LXt(*fb}~>E(B5A92cA
zE<fU=Tc^#zNvH?5${0{l4)3pY8QzQ!4aZi=S%kNi!aGCE6GO8lB)W>Ph&9GwmMi=f
z_O?jMK88KX9L{pyb6dh%pQSRAR+Gd-=6Eq%`pn3`fS7}|os^2t3>-b}P3p3?-6jW_
zXLK|sMK_BdH(a7}`4@?Zp10~7UXoX1pffVa<KD5q=|(oFK|DWUc%((S<SEOKobp!H
zaZA6*VVsr{QB46+_Lff+pISye!+)Ujs1!OooGRGGu;Wik8ju31p3!-|u-B9<R>8cL
zSZ<|sHr8~{q22bkY%m9Wtn(}Qpiz^7P@7@@L-75E&#LS*q%CMiLMbvfq+#L?B~EDq
zjNQ+kXXqTef{w3F@${wRN`CNoYHn3~PCk*P7P?M*AZh*xXI8dvODu={%4Bft6Go-u
z^%hwNYQ*GUBRF%Y_;n~2t@Ptgk^%fcel>UNaxESmI=}epV9zZvh1xMT(H8eRvmb`$
zs4l)E!)YBD-B*4ENxu^Ws709Vuoz?67F~b+Oq`fDv?9spyE4P+IRAY_o}8xcyhnnq
z+B^{=?cd;zWwV2Z!lp6HSmE#UzVI^oZ8GTSsEMQkOV919_;aFeX;M<&@dwW4h-E8L
zz~8J<$?s-rk&@PGT>PKI+XNOKE$3MI$YN}i%a<6uS*mAK;43;+4sLLBY)Z)#3$R*V
zpYM}{D;FUy$PSMP!V?S_dSv6XnrE&c33J3<kH#h(e}_U5J3T`yF^$ls<05Ros32zo
zth`dw3E^b(^!N|Vz3;67Tu1z-h&-=8lZIl^bFAPUI;L+=TQ&`Oxt6M*gTl_<VtyCa
z^3xxZ8svFoDUG7CQ&BCw%B#!TbO=+bv?v!Eb>CvFsN~U835R;7`mXTF0t3((WG#cM
z;Rf?5A3o`>QepM(gE+{YT-A+<RSu>&wCWHt`nH2j60050LI>if7@Jq7^6+15RchF>
z4~x0r!00qefwqwbrDUYeZr_?$sF|Z~*4yK4)DCZKGKH2K`QMzvIgU(60H;^g^54J*
zxFBO%GaOedNI41)P6*kXfXDCVN<(a>3AnRnuDzp+mx;@RE^4m5LMdxcmzo_@`_F$O
ztr#^81^3)OvNZ+T$dB~WP91jqFU3Z*&AiRQsP@-+j2rOVCLcMZ4#Sv(=#55f9Y`Zf
zF+HibY9XDYD&L@IH<CrLaZcAM_T5~Y+B;7(A{uvjl7-qU5}dzVP)Un{%ur+;yD5fO
zC7_qSX17=SP7{Mw2uZrbxJG~A$@*lYU8{r)92H%$a*eL6FRA?jCC51Wcx)BUO_KkB
z$3AthIS);cBQ$T-)%u(1jyTa8)u8e<S>q{ZPojHhv+2+1I4=*SMWtrBc&P7Dil0{Y
z|0;+Fu+80Qq=1rV4{{(XYp&(vuoOL6IAiT4{W3;PTDmu+Xu`gj_pA;m8BAq=0?<To
zGykM1`pNm3E9@N9`ZUd$DK(WiZoZOnhSH(B-Y@a$p>;w~_x6WXNZ-~Rd1*d+@ph~*
z|FWlAMnIWi$M`gH(F)H@Ob^Ac=wL}!7fd8)H<lYxX2y<fkmM3A4O<>+Qr<}?c>rr@
zc;nWJBwF?O&!L0tlV!r*>%KztHK^<P==@M9e0gMGSB--^S?xDplKts~UQI}4*uXN0
zlpinAw;T2x(+af%zr-o*xF9t*hRsNes*r$+fYXj`5S6BJF-U`wy4Q2>ziLJQ&Y-dw
zUSuQUK?F1pFY|5(>VY1#JM+aINM&M;iM?`wNrtyb)2-n73@&3E7K%dY3LZb2H1BQM
zby@MytV8Q8W|LLo2;Ka=I<yD)68mU3=XL?cgb%P4FFR0&cnHm3BK|R}`&rv_7lej-
z2|!6O=SI6Kn6cmaK*1pc{RT}a#6ic$aVKu2WPe|j;7#b%;`Jn_-mA&ft=W_o%HKi%
z#>*Zv*-q^Cbc6$Z|A9VCBO9j=dw6d!!O%zpc<4_43F6-W9-S8b_{oh6gi)%Vll!V4
z8f9y@3i}rV**$q{kjF*VH}(vuEgz$Yw`g#H!_|xnb2_y7LHqq)GTzHOSW&r%n%yWV
zQMKUpSz|hxUd*8Zu`V@!1(G@JFO&ghax}d<dIlRcQhyMY^oB|s2nX(VBU5;%<x2WN
zZOvwy+8xPM5c$^G@Ka7NV)n>Vu|9;;!;?}=tz@nD?{PQ3dj@=PoQvxyStceH(pPvA
z3PU>FQM5^ok9Jg5Wmh4A4*ilcU0N?S%R^)-*bG4=(%)ZUrm5-?rg|M$+3vlK1%&Ul
zUeGbh!@?J?6q-8QUUdx$jotbfyB3301)nEi7^H$=1P)GcJ0y`PJPSYLFUsMSgA|WH
zYnvsuF@;+)gErGoO<-kUrzHBtu9v<vnm--UnU>2A6Ku~@Q}r5H|BbAFp0;5KVrD~X
z!$RH7iRs3|EZXKO%y#WsLe3+3<Np3mj55{Gs-%d}nK&2JQ*GmPETwK%Z0%M;sJci~
ziYP%l+C)v*|7rN1+K15AGA%nDznc7<vI?)+<C-c+(2q^D(?G=&Cay87XnGj9ovw{l
z^n-9p-xT*H2Cz-BAHK>>#IMJap!K9zVl;DT)VfgE)Z@;O7Qp=BKSb{EB5h!!k;&^h
z{W9-0OK4xzZH9n$(^JMy*%vw%Q<kW!7we9Lxi$z8{~)D=a3e6Js1Xc=xnkq9<I}JP
zpS{G*LL1p9)zp2xHSpNZ3w{E=o$8D7nwBSN6=ju|t%|4iyO`LAsY-^(qYYeffyDW2
zEPq6CHnVXFG2wJg_V(+%nR-HlW&7=#@{l9?OsG<OoSp?+DlNk@bgOnby>cMEqEdzg
zu9^|{aCHu@=t4>XKl82Wd3A9My>1h?!P_YLOvywKqjq3?IP0gF6;dyo`2&P?PcBnB
zuOLCQn;VBtZMJV`6#Zka(1G$~AYX60313-&<2#n$D4zb;w~p3vF<tVMr5f5S5p#Lc
zc%XWjRG4M3ri3BM4Zq4qv;rqik?YCVvuTAW=buH($L8^b8o-1+0lzu@iJ#OR*inth
zCoO>f!vtwlupV!c5&PFFbNr6CBJliM<w20~i?AZ<R@myoe>L43GPyA+EwGrZ*y49w
z1tWr)m!E4ORKcW+$abWm;X9`%1P4~>>Toq^rC}PC3@6(&RHkxadbU#jj}cw+#v?c8
z-#+!G<+a4GDNK`;?${rBKHO!3N`}{&E^)U#b(?q=%c?!iPU~jO6nXe{U0$Z&c9lzp
zet1UkgrtnfL>Trfb&^UY{cHuu;zQc)V(vakZ1bnvDSEfI=*bLT$kC{|hu?7MQ0aFc
z#lV)B<l3~($NtRz6*nP&`ZJB*V=gQpJ0MWzIR{#%UMzEIu8PgOE`pyO6|{*fATq<J
zgM`W=f=f#a0hg8Uq`*U{Z{#B!^vb8aafphdxEJBEH1ao@t~x{H=>{OZeMcV;uN$L-
z4R6_<Nfp}xKWSuvVVXNf?ihD`>CN1e^RuUl#juJepWK5ojk(SllzgPXjZbUGM0(LX
zC++Zl@Q9|TtfyN=*Mc4wV=~i^fVkP71obto*)}1*(8+Hkl6*((Ev;pYq+a+mWd(-E
zb`&{?8{3GjSI%Rux?k>du9;)vtu%DYyBvA-_g>txt<;rA=fH=(nS=^hRMu0nMdH|o
zEAxB?dx65-*`CA6#mB@$H41yPrFSim2nl_6QHhUAEI;Z^-C7Kj_62SD{6Tta|NIYX
z<tqoonL5-%;YHx_ILQklT<i${wiO>T+yFZ|ZY+Dth+&A?43#lv%vQ8-xiK4rGmqO~
z*qjP)R5j(oH@zAowhvs+x1e*Cos}qr<BNZ6zYwzz?$UH|^H5XBEm2ck%R7~#oNE&2
zatgIhr*UWG!;im8gIL=~NM_aMKA+*CZwE#<mWzCtwUdZVQv?5lAHZE3oz8!Qr&#|h
zJjMLKjMP7Pih-W(zrs@tOw9k^@KhV9eD)?14a@)myFef;?ZEc-HVZp23}X=NO)UY!
z7L7W7yOjSPrgoqf#Eq;w@#&V=P0z31v#!kYR9mOo>&=eWbFG~@`4V%+2o1prKL*5F
zN=8nI3;=#b^}r0YzR{tvfzcs<Nx?i&#|H2(Yth0PK#mSSLVdp<0&z}&Y3(d41=Ffo
zE+Ytxy#EI98VBGNH_%l#khL`c94qUOA0ojF5C8=eTRaJW253G2Ah3?S1u;Qv?hL*a
z*6OLr&oe}Rn?6AO<KrXaHzasC7eI~xnyJ2jV@B1#bZ-w4XeKXz(qSMF=jX3FlqW&f
z+S*v4>gt=D8){QHT51F{D?~6-f3ERmuzWygK+Y~en*T#jm8Ww6{9Z(Zrhw&}06V@<
z)<QNoy0AHc0p-HJ;6vlD9diIdwSsU0=c0p~Pf!6W;{@#WjZ69=rUUrh!uscgeD9wB
z#Qx+!fczj^n;HN**fRrr1@^B1P{s2g<Wm+6A6)EDfY1YL{g7s^ck$;QPH#=|znGrP
z2J@w40U8f41Dejl{%q$)g)oiJFNchP8vk~Qtn6Ckx@llqQ$RY{0|e^m$os95fjWX|
za@%#0UFwlpfrqvS_56aV;@6if-;z=n#8z+U$0MVV(>=2tuLpm`O=F%x?U@=G9Uh;8
z0ptMi!$V`O?4Gx9;{^C+U-eDT;=Fls31S1P&dLDz2&nd-;wjsqGqK_KFJnMGJ^#p!
z`4K6*y84rh52EVBHG>5x{Qmv12Gjfw$%Eg;I0B?M_FBQ^^1psP-IWuaeP|5!zvlTZ
z_~p=3rQm@j@o8c6bNRB%3kDem-kYBK3#osyX9|4h<N)m6@dnuYn<Fv}^W=tV{XdMI
zLzgZ}v}Mz_ZQHhO`=o8#w#}3L(zcD0wr$&WtMf)RUZWcE6Jm^rz2;u?H*_+jh6w1V
zFWPUXGywhT<@J5>mme1{@b_OSh!+MulF)C$=x(D^lQv&K!>=Iix8nG3L4Sb7d!N-;
z0Bmy5#^$fn;_v-$z?L}zk<V-&^lWxmr@*Bl_5&aI-f!sz$Zxi`Ss^*p#a*9)muAx`
zHxi`o=C2Q~Farw_Vqq!H`10ThW5bu(>JR^av>B5U`~k>^9{?zGeSPg`?3GU&!+n-B
zVycPcw>@w+<Z)M4CWM|Sy^k_BBnQ&y<jVFWYVw7S48h($kn{7AN(Y4h#}cc55+uA`
zAOa|V^ATK2I9EBKfC>>YQ2n6o9P!{7w7%*K_udIei~T3=%?r5N{I}4e>|HRDu;2RL
zVfg#1DR51&?THcgv&mUI=oh$vRrecoeI2O!SJ?a%q@L#&@(7~7^9$0qcI_GQt1hlS
zkcU^$5Io@TN4M<nV89JN(Hy8{P$v^?0}@<A4YXBPB?_gx#SQ^#e)0N>yqVF9funuI
z&L1LjW;Jt&8Xm(a%Kvr?>Fs0|4WsFk1-)-MSBb;ge3cw}UcH#2Rx{V^#q)l{cR3B(
z84WgNqeTX*$y*N}&yGq^Eg@IoKE;D5R-q>&iqaE&4tGc|l{a-?{K#zGb^XedC6TX-
zY?HY)cu(w%?%Cw?y;k6e$%|=OsaZ(>MM0iC9WSFP{Ch*~5c$GY+YQnBm#_n2gLi9h
z(Vafk!llO(RS^XTCB4t!Btc=>L++k}4t3Hk8(rLxtrgDwK#1NLi$J1$icWPF*9O|_
zy%|sKPArYDS0g^}4K%b7;ZY0fi=3p`ZMs2rnONfCD*9~3-x;clw<Jvz6|zQ$!B`Jh
z+xzz41w=%rh+e!GJ^?->wZ*5MQNA_cF5fF!fIY)9&FFbG3--4Bhw1K?t92^-D!~(Q
z49J)pTNzu^RnI|@Pu8EF9T9n}O&{G1>d2jMNg*-Du?zNHS&<1vrH$N2B6CG$r7bD#
zb`q?8Y!K7F8R1!8*$OQWvh^t*v4RWJNZawAY^iI>Lk&pBLl^+&@&79I7$F6;dkn{o
z%V$cQ?b91Lb6%I-Oz)6u?%kl5jD^pbZqjIa@>h2IG?IQO1uM0p?OsI*lp_q(>U#eU
zpGtbMq({s_j<+2{UE`3NW!1sUAp(59={xb62g>DiT3C-xzQ@aG=|pujB8T}r)}GQm
z$R2RMn2bf>%$g9v`!YqOc-Tz@^dOgdCK@<!b(gq`zldB9h;S1}_7quK3}W6pyEnz~
zAfVe;OH^>gKGMZEKK5)IZ_Xq~mHuW=AqsOrUS3SLPWP6GBU;V0HxI`s?D|??z8Y)H
z(Cm4|#=<v|hzPN!_<K-5{-r?*FPmw%iPiBRYV#)2{A8sy_=#!F!M`Lly|#vIM#{K9
zqv-2zqWV*(LizyHevJM3_}1oUnLsEw>?1jWpob{FZ4A>z&lCe!{CK$kB)In$#ZD})
zYgCFIheO?MK#u3XYCst~7?$nBbBn-}MVcbY*eiG1uXzr`*_GPb%!7~+Kj}d{ot>m3
zJUW77@$$l^pyDtfyX8tWK!)fTz!*b(-S?tW=*J1WeA*&Ze!l>a#b!kHdfh7W0su99
z=CuI*MnmEhrE+b{WVx3xy;t4G7#!#lTt%HRV|qm2i*bwKsZ01D7fDZIE_>Odv@>TE
z_^gU!RY#``Nc5(oIwhgRwA2arZ47YdMm4oNw+2Ts*D9enr6I}hYU&pKl)i_KhSk?_
z?f6ogvmG8&M5|N4<{pfjLxHOVXG!FYHt-{Zk+{F#Hrx1xGQvC(Q8;~1DKXZW!2Er8
zCy9--4Z{0<DNG7^EhGE8h9@3uji?fri(PIkQ0rU-RYxh^+kvyc?q(HZX7Q-w#M7&u
z&Lc94mGNKSWh3k$9l)Fe%VjMi)dZ6?T^U_ily|k5waT6^+f<goK(G3AHFLzT;}6R!
zI=&z&?T)`&Xb`sHol`w~<#3OdrXj$ml+lxQZ#?Z_+QNI<d=DOlbaD8QPp~XMj`Ec<
z09GM8VU6QFVwkqORj!Iabw4gcwo+#<vTOulr0(KEy4Us8`(cCd&jH>yl*}9`ig`+>
z4B;n*E>VqUyzJrdq)(82)azbjX>S(j_MPJt2jv$J*vWb3gLp8!T!n>HfJDddT|^NO
zMdMs1$~(<M$)r6t??A>X&fl%380X_I2frOckv)f`+E=Q+7f4&ylUMLd^G0d}*)Xe8
zKM{aFT+%m(Z|`4rRNvf2GmnsQ-dDG5?z%Hg%B?zYbpRZ6xHZ=`v^1@iK)Q~rmp;dB
zTAcs-d2z|yuzsqyUev{9#k>-<9z2O8P0os$m~CtiBW^SWU_Zk!m9ZAXx4E=fV?kg>
zj5VHs<%J>FRldrL%hgnqJLS4ZC*cIwVi|XV#Cv437MWxKX2j>*zhn&A^SYe(FRDJg
zB{WBGYZAzH-m;q?uz9i#bUM}zM!iSkjBWIk2bKS@x`kj(XM`a%i^Fn9C~iK4RW;%2
z>-PgK7QuRO%zi*|F{y;F?v_?|TtnmuSF0vLUH{B?CCvN=Z2YTVVN121_;5R!-(FW(
z<>yGJ62=K1cM&_ukuu4&RIdhgSQ<F!<GW74x)mab`o;=rd*R%G!FR9xKKoT~1ou6^
ztKwe@lsyl86YPjmsr}#*q=){lF5KbF1J^F(bim=KT_uTkE6Si512g}AAhbeE(@MEn
zZ}xttohk3+4X#br`j!SPpPomZ`$<{(-!@lA@Ys7BCZ13x977JSTNg(7Gk=kNljXL0
zpVz^BH0U%NR(j<b$%T!sH^85qLP8S#<|jhiBiNO%2|STFx{R(cfxe@`p@Et=cWrlU
zO!_ZC;X4iPMl~lzH86Jp2ff5cL-Mossr$*Zq^h-^267#Q%TCypB+n+{gIJ_o(o&(_
zIK%4qu(=21)WH&zBymWly*O}Q^h^1S63#$T#p6im9H;Hz0-RYaoHaFUIQYuoi(70{
z_7u};+xLxK)(7+(^vgx(Vt#Cb5QGo}9OPL(zbN#-*(WvW{U1BtVZ{ZF`4h)=#u{>$
zhwp6Apu@!J*p0ACncdGY8mG4hp({?vE8qigtOUmI;m@t$KUzLxX{y;kR-qE3)kK~$
z`VYaVn~%n7QpGO^-AM1TBP+sxzH11qczFSH@?DZc9A!HxrrruE56bQN3lwJMQdSqv
z1b6^AOVdJN>Gix#u>g|sN~VUquN4rH`Umo*m2Pp9Vz(_e&STW$%sS+KALpykM5=^A
z1^G^JgxOq^?iB8gGlDyku~wTLdXfGt?}n4B|D@B@GiwbZEk{qQ$E;q4rT^Nc<cH#;
zd2vUcmbVef^`2z-|4K&rpwCmcbJL9+r-F6ca=%cw@*E=5r?3mX`%oklF`yg#*6q5f
z@cSDxaFX{T=E37R8fXkuw}!0^#7MF=FO?@Lf`~zmh1s*O`NC&-v6ekZebKJ&a;$cM
z#`q-v+vcWhc3y2+<u-NNFaL^wJPJqz@aSJaQqrr@WrY`SLmA8c-R%1(clbSSGFbGV
ztWXGWrg;5m7a!l@=2~<m1xBG-f^#q#5$6n2{2$Zk*|hu?2Hq=P!P9lv@*!}+r~4`%
z8h)qw?yzMRKC^)UiKk1xYR_EVb|3Cdt^7xD@o0NV@b5m;Demg8(YdMRC(+l64t-NS
zU&H-U%6=h13{Yv%y;*3*pNMD7YzM+#NmYq_V2p1AiS-1(x;vFYd3@A%59<H?Q|S_0
z3dlGA&8>o%JypoPn_j$3W0X-c3+zSG=s}+4!%htk+O!#uH5ErD{CkH2NQN|V`&I}~
z%^bxRE)3Xb81bL?hgaNvum)}SkQbLsV*wZGKoXnfey|UMWcnWaO%6b|5uX%X6N&k@
zNBuxZBi8=`Vfk;8<uXxF+r2gs0O$iSd<NvdTR$R?rt3G}LF{(VI^{+u?8b{YKFl<F
zMoK>*Gd$Yy_T466@tirNRmX5GTL1mjfkzFNxmpWg`bUxx<Ak^MX|ykf-E9h92A`Z0
zL9cXcpZLX_R%F64c~Ykc?jpA`IWgmCkAny)v!asrKyX#X#4lY9MmGYI+5b-Cq@n%2
zd77margIVJDy-8i_=*h4W}4VWYAt>~?_RY2YCR{}HWs7FHS9$<0P&*v-AGht`Psmb
zR8P$&0S(qQT!+3rnt8I}-s}aMX~HqQ$k7#pB?Nb~vFJq~Gktmih=aN)3d3+<DZcw}
zlgq`GX-)T9*;k)k8l?cT*5l#h$&!-B_EN<0@;9nuYo?Mh*LFySZHqE$v?ZEb#3rJ6
zi2aXEQu031WyNTmqvC+6?9VFgNuCbTH$2(AxE!QVx>~#7efr=Y#btXe{(HbSO>rDi
z73E39A*N2!@mEFOJR>e>M<!?Yvt#{hFWS{<w}FoLUXQ;JXA7*xHoKol2sUKD2`<q^
zA{C;yqpWmC-*7XAhzmNp`{pVXtHy{=4;}JIi?4}`i+`3qwpuL1zBh$M{~WwSjn280
zN8vh!MmG}kKhCerdn!ptr)uKo8-+Z1+w9lxsX|fw(XEnOi_(vf5<AFtwh}LtmUpT(
z<=(SFa3SZ970er6nB=vUN*A_eNwrR2JswcMw;8}~4@%t>fXEVs00wLPJhE*FqoPZw
zN+io(8ZhwaQeGfr&#aTtbV7+4LZ#mm)MO(v=qHX@je45?TWH-qiKy_3yXTMqo3do9
zep7AV@ijo$7}*dLSV$C+5zNU%{G_9yo-?)5SX{G`?4T5F`dPEVQvtX~Jq;I%))Acy
zlp%1Ke1=81R5a^B$6?=Eeo>gH(;fF=Fo_oxvnV?)TQ&3)rC6Qd@F#|4W8@B9ES@e8
z_Yb-8lPGs&L!P;5bX<fr62X3MiUX@TN)EWfq>0WPF(V<u=ipg>k?ulDs(>2hSxQB4
zH-ty|i5If_Y%cZ_8#{TYHIjwdx5@XTE3UE1N2V4C&yUamy^y+W`4+|GyGjXyI)e#_
zG!W19M_b`v#H9%LyBMsN>Z8J{f}nXl+>urBR=i$xoAT;Qx}xs(W}YL+;C$ROzZ2F$
zM`$2-p7X}n$iJg3Q=gu7>4A=qo2^#(f_HbbVTTkl_LhCMmQZ$!saI5y2R3&-#noqI
zpC^S{V^Cv}r9dJVzsy-x`!ax7kWG<T)t!Wbex@F)yEXV|F1oiCj;Nk?lP#vB=ZGor
z1}%w3?32VV1h6-dA;=qQGEB*wyzFgal08&$vaUB#Uxo@6N>st8ARC#?&n^p=?d*5p
zDbqC#_HLcQX=w5g3fJeRSVNe`r1z<dYRTNa{eURqa$^<cqpG|rV4s-5$gK$Q?=4A6
z<~9-#m>Ckh<VIZ>Q^-i0#I;m#;VpCIn|1tf9ob{d+}lXxj$MS0QO;;VdQ3BK4kgR$
z1e9UZ<$QQc87D+qnB*l5z(XlO=UBl5ik`?%D)j5yojGNmeT^8uLOSu?&twDqOH&6T
z@b5ji<BW$iVeB*H0wF8^ZAe?EU?-e-WE)ib=`P*$P%ku?DSLigV!bpn`F(P}TT%Pt
zax|pQ3!+%}p80CPapcagV06=|9{!PBw`GVVasF)JSQ<}@6x-RCf>!@439{)43DUr@
z=rnWuD4+01Mhz(j^1$ifEY_Ip6v-*cUiWXR{aog5Okn|d+wDmEoaa1Oc5jKgt7=}=
z)MgP@H$zd<ghO|jO{VIi_BJVs?P<PNr7z_2a!<MuX0?!PCDK~YfgL5S62|h2qr(41
zg0yc<lb;)oCXwpf`mXa>ztibgyqq}uoF-DvnE40BxqAW^U9L=AV<Dp+NAjAD=)2JY
z<vyP}XFzYxHu@$xlBq1b4wUZ-DGqacVVvvj$;BlBX8BK8<dyRT1;M}<@pVkziGb{A
zdIsM#D!|bh(2&)nDOyA=!Lm-Octe@*nQT>m<TPtd*(>c~yo;Nxvu_jkAxQ=q+?vZ?
zo&5;*Qo(H`-tm6AN4=XX<_M6}%I%&yj2|a%?#2NEfLXv3tmLVu3>#`V>CVtJdpw7x
zArYws#i2GeDFS06c8_R0#c@sL2nL`YIO%)AOW56eU*_~+XVh7@t9wwevhglfPtDCN
z6OrK{Nj7(F(Q=*;mdT|S>Q9;u^tYnlQ<Q67s2d(#fGZnx?gCmSn^}v5=Faw7BT}vM
zQaZcTqfDH;<knxyHd$!A!?c)rxON@32PIKV(aI3Z;Ud8CH57xYs*xf{+QwbvHpe@0
z>iaqOX0H-d5n?3K;Th$)M9WA($ysT}nE2XC#3w%4Dw!y7ltI{@!Hr?Qgg(QZTMu~}
zdQ82Z*eyKXUs(2!96H^uzz8I=ycTm%x}3qEn?4NdW%ROOR>Vx%b~1UYGuok1bGXaw
z^q(<hOO}JHz|{lmcH53*lrHfl`d&9h3q{m9#+Kob1v}%@iH}S=wBw7++K}K&CW#6o
zb&`=Js(as-+Zv3-?zk`+m_muBAbSBR&N5qTlD<j|{q#8+f=WzdII_RC)oIM?zYl<#
z<#o=zXn|)lCtm!|Boy?1D2hJjApzy?>hO1K8fP|M8|O1ft3=5i{vf?E8;a0q`$4Mk
zL5PnYJW;o8q4#9Q0|d9~7V}rUMHT4yGDRWf(L;r{ty{P<>)P@y-wjGyl+(9A%O6)?
zhRiPJH(OuKe!h4DHA`DNahqBOku|CM_lAbpK*446&14N$q|T}`;KqZ|@1h5<xZR5!
zB_o?i?D(!W9x5QQ?bIcNd8OMJt)vw<XVMsU3Xd#4%{<pF^=MBxI&X^`(&!}LDmU$9
zBno*DGP{4hH_)|^;ptc)@ITBnd6X;qc--9%U{!3cL-ULEY3O|7Z`3K^fHD^lC_=Pk
z5(tFM4X4V6OGv_A%jb7Z!Do(w-k1IeK6+IVyT<M08LRNx6Bn*GKMBJMDB%ayHkW%X
zq6R-UT&0z34#r^|?Wl5YzH&>e+ffuho5_;w1GBDddd7N5z#5lAIh2m$;-kYts|c`y
zkX|<H5?!b>n#v?fs3jpJ^kF~rwl_6|Z%g@cRnCjOBCuJ@>k*DH9}`+4^$}^Jkp75`
zuwXa`+P1DH7gz}^!+nAa+=kZJ##4-hFcJvTrcK{}5esKM+#xHd0<T8hO%p4((Xgw=
zS{n=eWC&Me;N*K^v-oQLb1zU9#SiS${R{o~oa`bPxJ~l?NWUpyxH{)Eyh<7e^?qZ(
zF`jM(%gvn4IQfKFPHL!PEm}n3YEJym*Hne+>@wy9f@f{QZh&9l$+nE5DC05Z_=yFk
zVG?clw+KH1FP`jMD8@>(Al`yL)PaOzyAqDmx4=YI^lyy<A>;|QU&K(8SPrZgcE3g9
z{?Zh~-DwL;6i6@3E}!EVN~E@BB+d1g=qSXSQ(JkJUc9@agtY*S9sPQ<PM9xfIQflq
zBkS|XLYgpEv{Z5f$>fMmf_bYkPCOC{Ql;-bPkXbas9AioZil28r_S~OJfOx?<~5#%
zi^>p#FFT0U7O?NgCvPmu+g?KVh+$49?U&uFiOO2?f)y_TcKx?WaQ*m=x+)5jFVCL2
zALV=w+QY?~_nDNUs?=rK1<~fwpfeBoS2<pb0(>^~a}qA3bY)Ge7WV_d(^C?ke^5_N
z7-tiQc#l)=T8ml0W@aD*;g9Tg^<V1_`z`<`kzao%Vg1li?d^{;Pj{7F{F@91jGtT%
zGLa}IN+TiBp#JAEKA`tM(av7X>_`!u_Nzlty@&Abpocx*^;d$!$E>9b+Eke$XdXMW
zal7}96-ff8J^~#qt|q`Ko<|*G5($xUbiV>>cWWc*qq*;zybXoRNWUgWk=@%xTY&lU
z`;V9}tT;DxidANy6sJ>FN-~Uu8`gVtzAu8pV69;)KVNpDQONnGD-Fkob>W~b0G%bX
z=xTaOA|=<ytvBs&+f%OB%b*f|nb48=TcKd<hU!(N!lZ%@ew7k5w3lCg5A^wuH-&UV
zUFHak+<rtF*?cjH3L*O)LnI@6v5(=a-1o--ejZm+fHUOCf<l3jS&ZGx;~>R?-twxl
zfXx+)>7|~d@j>vxRGn$eQJmZamiNb13>C8l^3N#fY*Qr>MWm~8)GgDA$iCVOkWr2B
zE&H>8y)WRd@X<5spsISY90%`)b<?R!jm&KxTkdTRu03K1nUkHrP49h#PS%Wu0ujJi
z^q!ikM3+uH#dW0KVY=Q$Nsy+1lB?bv&NRWM`en)^%NB-_wNMuZT#l)zNHw_FM!=|M
zlU!nYzH(N=n1Q@3&?_=|#Vy#sftp8FS@I1dGlWbLldVXXM&RVU`fsP;!(V)|d!<27
zn4zhl+egCeIjN!jpnRlcB4lR2Ew$CY6$l&;*pndEs=F*j-U>#OZaLgfx}d-FzncHh
z;Cb&6MQy{}NbL~LMub-5KFsHww5K1m_}E2p33fA&OD#ClHfy^m_B~H*vJPFY<|3*H
z8|F~wL=c@PcHAd>4W3})mb7Usjo3w-4zi&#ONQ67eQEIkU++jf;_BtGR)zH7R8v&J
z&ZX~%ST}4}RaXjqI#>2Nb+|mdLz#yG7T)Ue5@WqT0p$KI>MflfLr%r}v=q2O%`n4L
zO-sDzU)>id<LvE^V(TY~H2b1-OEXSYg%dR=M|KLdjm7QHi)+#fb$CBFMimLA{mN~T
zTy#_yYdMk#;FPVy@GB~N2qVvAJ7fd=dHy{DLGgJ}6(y9<HFtiVFe@5w5Qs9J{6}3j
zlX_OoBn}guwq=wXkm4r~VN&Wp9*b5#pW)>+QvO+-a<4hT&hiy745NPmx2AA;qgviQ
z!b<XIaN*ob)t_O4Ux9EWeV@m2Fx}8JcmPg)?0}VoAC@DhjlA*oiU*r|oS9&J8u>6x
zyQLbX3(#^XXYXx|S$~1bl{V|aIpnxK=If7s7WR_qbe_XR>F3+El|e$jHXuF6B}iDq
z)7eXnMsh>V(t@*(ZRS2vUXQdH<%)8W$s2jYwJ+gcM-{z>>A-o)-?MWG%FSR-E$>^W
zF6M$*T1iYj1IFsz>mn2`x8jDw)~Fd>wPt|^9vIsI8IE^t@|CdN78Wp8g|6~L(N8j}
z<-McUQU!{NUC#C8LS%o#P8Zji;4V1WW!{oWF>K1as%#Y#f$BY6s@JFc`L##r#2gX5
zVHEEf_&H=w2C;DbqS{<rCe4#&sl240jV#$+vj?1XLCtl>;Rsr9jT2yuR1UMzOQiYr
zp3CK|8b=1Ht^wKkowd(p?n2+nM%2E}_6!Ey-uTg`DJzNz11CYcrR+n<ozbod=t=hm
zQ`minpX{j>n4A8FTj{^#z54(@b~@(s+gr~^D_jLDW3mb78t9&LePlnSG&yy-w*_+_
zt4d0x+O{fbbFt6><r81S3^Xo=JNEGn?WVZlY@D|aNP-fsZ#@Q}qNaXA?hx#Q`DAXm
zsR#rxyrU6@$Uokmk|=7m50Rw-H~;lY;j!ZB|C<%ZF&sdgm^{(`O7pq~pEBCi89<L1
z(>oQ)YfmPs1W(t<sV0*mCFhv`&vKLLAJHfa)rabTy+sMf8-E*jvu&;YYo4bA92<xm
zYwmAiOBLU1JZ+bYUpgOinF!NlthC~?sx*7;jU^1^JmVcPCX%9bn3`Y}Qn<W(nD?@L
zSmKPwcT+v<PRiE?w*+!%^jRcWRgsm|`?1Coe-!IV@z033s^M=A@~LF21|Q@J-gl7P
z0^h#P%3i}vg2|JNb4dgoGE3ns<2-=xF)L+lW%4>^4ff>@uFeizm--WWKZ#2lK0y?l
z7gIu@uF>U1(?~V0*Sb`T*en$$02?n?FuIIyYnS7D(VKg6WuloHV6Fq|EGagxZ;Ta<
zjJ@73Qx)ZkF%oi)ZTFjPsKE@1&l*%qI^Gfqux^0YY4)}L!nq?VRF6q7o+L<lPMT&5
zm~o_ZNV)qmm{!RO!Pz?GYozFrEyvvf?jg+9g<<#gQrtf0!*V{fh>5=r3%dO?7Xp+a
zY9~#ciovSs4NQL4n&<bU`Eh~oi?)=)3n!<z^kehK;f&%e&U#J+igyMvJZ4|#A&zOw
zDORljxsx(&)&YF06oR8S`e^m7ZBs2pZz@`6vBn2i+kJogdN~49MYFa8QX$LinKx~>
z#@4&0-M|>?9wq>DoG0Hw-GVzE-+2md2z<MyhiFl1z;l-qqR#kWV)g2vin>8*lY+K-
zYTx`32eFxQQ`@};wV3Gp;Cs7$*QmV~d^ItDIl==Rd>Hu%8}`o!;U?ZrBN5BlLlnJU
z@_GZm{Qil~UyB&)(5^=&>5-hw=?!O(W0Ef(GH)CFVDKS&C6IEm2AZQzxks1+mJ7%C
z5A$6`9~2kR<jeFA8_sKAci}y!mMl0yOmKoavo!ma%gqJfJ`eL=tM7gLq<0j8Jm4_`
z`($e&w(~$UhBMk`i9G+7oza=LkNZ=qQDwCja9XdR*ohhlP>17WGIiT6$jjmJcG4}&
zf#|~*?vSIfM@d_^WHP=~waD&wA%Z_SglR{;F$tNlH3%}gbSJ6j#=R2imvl#~s8icv
zDv6CmUEwuIUeRK1;uuv@CAv1Mx^s>$Q$+?VLae|h^N!dPr+V4Rtg0Fqq+KtmMv;UN
z_0aWHhKa6)rTBtCVc}QqNTV`UbWjqvM2~PRds21SVuZEF|9s!~UG18JRnPltqHPN>
zTeVNaj4nwBUC!C(Xk*UWH)&&Gv#%d|P!7Y;&z{l{ygJluw|RJMvZ_ZobCT@0nTGk=
zx}`uFlOI=NC-?ajbI(b1Lx@?FrhesnTE~4+aGFtOZj>JNsdm~B#PGV%u_5ga323nw
zX{)$X5FI<iY+K#lgcLGwap5~%=t=FkPS)07Po28U6iB;z&Y|vu`#7KknUPeWC>aw+
z$)Ss_^&aEmRlSES)h(s@_0mp^QHpq5Z#D?^x{Q#}I5;HHAU^Gz@?8n#XG+dh46@nd
zihz>mJtdF2br3z<d;EqPa1CDy5qJ$a9%COhYT-$>w()%Z2jD`NS@6x8Np5aPsIl-H
z+p1yL?!AMlRpOpW_{(cr3DZ8b%Kh52qphNlVL^`%TFU(8O_%N8NUAK~Hx_z!7Rb48
z#LHCS_R!B=gIdDUA`SZ{dzB{OJ<JxPBiY%l0OO`&M~GmJJvwV^1BlbMQR7^~f{YN{
zvuXD!4%e4UO3}mBxRIZ(o+zEP=5wi68m;VwbBLp@d>*4lA8rgr_GfuVJoLU(TBh+#
zUG*Q@EV;+xrp9*ZW?tGjlbiiQFxem;PjX$l{|vP~>N~yD`8O3>#4as-)Lwrf{h)^o
z{x?d9>wlw!SlR!F3t}N+=VoX7-zXstF0TK7N=O4-Emgm*j4T|X)Qs$J7Pg8~XP2rq
z76g`&xe=B#5Ok@Shzz*2l{lD{6%rCPG_(~oxw=p`@5Sry?)Q(+YNtn!&5X~#_|q%D
zm&b0Kw_5D1Xd2#<ygeLCGz~Noh;-1Zi=1(w0V8N;CM~@FF^lki@4;U!U|$T!SVWMx
z<WC2GbvV4}k<Fz-E#FK59Pp+4XD|`6KqM>f$XGlqI5fx*vtRVc(Q)AALVqZW!d@&T
z$hhE7pf|O7gCML>04_$rWM8@va3&EF2`w$@1229>Y^Vtm6BSGa;z;K}(i`d@CB;H&
zobW&s&|hF;$0_)j=VZ{JukY`XLMcLKwo!FqC9t!E{!U=|Jpsp9!Y%AKfPNt`8uagW
zCRQM#<w^M6y9tMQm(h0-78jDkoml@K6`^l1<0N)G@WCuZw)G`2e9vBm;DC1kh*)5N
zK0Fc$#5?Df;d);nQpN6s5*A$CQ*bc|GL>c_>>w%v+tM8B5QLF<pi=5%olr$NB2EF~
za|j7vk-}TxZkT8g&g7^NRc~Kk=VQ<xBm*r%X2Q_ZIt1Z9qq~gicxMf9(j-T;705e)
z06Q22!qBca(b=mOzmjDD+Rf|+c#yOE`*Lto9p*S**xgH*4d5F+h!gmywPUbBh?)tD
zjuaMRuqWsaC=>S#vt7Fo^Q#T@VJfyx5bQMU1*CINH!y-oZ|@Bg=oIuh1hfIm&=cyW
zkN2koRES8(0t^n;HMomJDX?$;-n@OPfZzWCOAP4lzo9!H6w=q_`|BjaEWHKWB<tPn
z-R=;0)>&1SE)DFj{o5`BI=U+m5+w}-C>nYO2q-a<lT#s_Kk|bj8Y$I59Zi40sdb6o
zoY1=9$brMTA^7JvyI)XWC^6I*WjZj<tQMEjo<s0vaA`l&7vj;c{Npb5FK$;r(H9}u
z@2oeQFF${P54eBFZv<wvm?y-~@z~=sX3S}?08SmyQb4%Q;D4+q;Z5wF_)obeF6@Yn
z5ccuK`>m|ln<Wv*-aiQ_y6I~~^`Etw0O)DdpkUl0KcqeZDj{VktS>@=?kXdKw}f!S
z{DeMz$8O6XufIGn;qE`B3{KQmL}(#F5FmG?qqlzpxu6Wf|J?=d!a)QND_PPBfJZto
zf}I7A0{PFNCcqAUlmuV{{{n@-8#8%oe-rTiECpN#*kB<b1`YwKqFS!abls?X?BZ$A
zG=0X@!c8VT)MyEyppD4?$@WXI8eaf2G#8&XK}cQv;5ieZ2f$v@%Dd$4bKn@Hh;x=<
zapr*)@Q~%iR<i+9MAUWTd$$(pZO=##5L=fu<M^K7+alixZwakc4P{(j`-F^A72MDD
z$+8x9cG;fzEe%KCU&vbNPcAkh79&m{+6~2wy*=dS$2U2q7>jdHgkiaZT8_OSN?<#O
zGqk%VhXE7kAd<m2aljrxOCAb0&CU$_ZD@IE+i7t{y<+bq=#5oYmtQgk45y*}Lyukm
zz!;J7wI;1!gv-+^PV7LBl<K{gX~=lnsJc9uoza;5@K232mm6{YXj*1Xdf-Jj5K{rz
zl<$4#?(n*9wnP783E!Z(Sy{ATsfws0G&D$#hhN<97^PtBn=P1ZiRlo$9xG*<DeV}`
zHgKYc5t}iSs}U~w<!Rmo5AB|0NR4P`Oq}t9SKi16or6y?Rx7+<;3{=gK%Q@4tm_#2
zCqvT6Yl``&01-;Z#N7OoXjtLCM}li~sKzyQe0wgS=RM_>0(qo%%q=NZ9de|8>~{9k
z*hsTORVf-$JmfH)nL2o#`uy;<18Z{)f;%dPionygtZuZF+n&GPOF3f$dPA1YtguWD
z6Gur7K->cgOYxc8X}o?NZ7;o}Ab@M(qp5tn6yLrN@ycym$yO$gw|i}qincT^D`5Nt
z2=KTgn~t0`_9;D@G*!vL93<`7nfJ5seQh$)HJ9)5?&u)O_WiVpJ7y^DiVm9ke#vV6
zkSY;qdXrulEk;y=+{t5fWvux0UCzxarXWX&oj_z!)3TG(2k|4XTxpU8;lYT;!910O
zi?`1^9Tufn7o<DZruY6k!IWTa!9jJ`P*58Yy8|ruFk79;--|>C-!l!E;q=_^xto*9
zDc4aeAU3nyCh0dxEF&%SQMJ06S(C#knd$y-{<HQkrqs%d^Z0!7ec<)4vuh2Xv}HMT
z-zYZ)Q}@VAtW5%kLrgtsT@GsQLYu!8q4|>vIn?S*`mG3&V1U*oT+}BI;63y|GvNDL
z*%4m_299Nzm9#2=sacvv`4$yd=7X#+iKO4cZ~+db%@SaNQSI=@=i^z_W7Z<*eVhJB
zffOK1O1n-Dfsg{`#1wO=XPcKr;EX8ddAFX)EPT7q8xM6sv@PwYa70@hG^iP--Bq4~
zHuz$ALHU&m*ae!q_&&`B)-&_R%hA<v+W?*v^An^qJmn+3<R{RC%G9`~ve{0=A&!#U
z-t0Ij;I#fF54(u8Y6LhgFscW7I*6%=H4}mC++WXFsseYAjFY*0v5GPa*KFY4Z0GL?
z|2_$GLwdDX8rVa71%9k>BzpWVmOyGIKZKFZIbhHdh-)Q4hd2#F7>`-7|JjBSWoG_*
z=-7AT-{7Id%LBsfdY!M@5-_NUoYcFAf&y1K&@%XT-RLn6k#Y{09^K313fw#HwXaAF
z@GLpt-rq^HxZLDBuX8DpGM!qpzX3K#p)y4AHAa&XrA9@4nCOK#pQ>%hV_zrr$IHn0
z=w=~8quv(wo*Fb*P06%j8Yf}CvlwBue;&kb&UTIP0&Ev_U3BWG8E@rSt?UfDWeYgV
zHMW$Sb$L3I=vijWz+Sf=aH_Z|=B<#ahQorI)_7^>DNI@mA|RCWZxj{HytfY&wOoA6
zAE&meYW2nnIG&Q=buIh~OfiTbOmQEZJSP5mlFnD*8%fw?%WiT92Jca6R9CbXMKTzf
z<8Msa8dAFPsOh(oIJJlIhU~gR_QYY>rJEr(A2mx1nfc?$*&+4eos&kjiD1tCvTU?b
zG<fQ)!!U7ql)W9DDY9vFK8=z+*5e)Q_#01>ex#U}pccw(LL*(@l69pQ<#X*HI2{{i
zQ&%t*<kVa39SF#KADYyhFy9h&+(Aiyp#dxXQnUd7hoxN&3+=tFv<E%Kkn$|HC@v0S
z7)}~|&QQf#JOh_wUpu+coGB*8a`F7|#`|7*@^QYEFByzW-Hua`@o*`%8F?4ktYPS_
z=p)Y=Vo)osQkoJ64jdm#MtA{~TxN1UMXicgCzTujTr%{I9on0``hc2&?k4+RO})Xo
zPz%i|$6jM2Eul*k8-Mul9?LSKF~<mn97rNWa&;WRBLGAW>?bx0J|D&Co3xYVU?n$e
zSzOmGm}|uvZqGRH?3wTV(66qk2KY*2j}Cm3&pSqAA4({aRv?1Mw7Z&>-_nK=bW6iW
zk0HG`4u8HZV7ORdqg#GW5!(jyr@!>mbLPNi#8c)yw<{KW33y}m#iT$NZLEpCbEI2m
zngPe(7u%7jZFJu>liB4nhv>U?C5F?~WKu(H@d8)AQXg|fa7N$7-fPJd6ZNdYT?3F>
zr_hb+93ZeEbt}PIgg>h|;!`PZrGr3CfdT&TZ;$rz0jw%CXsyytzqk7BqQBOhZSm}+
z`bxk_)^88fD1uBTt$0HR^<dPNuxzzubho*uf%F)+v&UICURFz$UCzEvMl^FX5P^wr
z(%ph|;{-XGT@)K&%7fPJ#grP7i=19Z*K}sQMA9<Nj$@GcM&K)wdKu;mcVbUt%j}V^
z4ftLg-0;~Pr17DYuZG(EQaRL@g);Bvs2|{AYujUwnR1nXyyMzE-WeYvs{QuK{(v1V
zGI@ZO_~x}1%?B%ZeL9=z_O9ObKBps8Y8d6}KZz}vw3|h3FZb1E$jZPKgg{8QI2~Q6
zdEJzmn9#{e0NOr`lw&#7_quYAr0cP1bho{bP0q*}%x``zk&tvzk1D9W1#`9-OLkD}
zc!YYTdw$vw$nP(O`?~`zr%Nl_glk{M&PQjQbFUd8_(ami_3nfM=Zo!IWoL2t<x3B%
zry63f?bbTCuU-YU(-F|Z9nGDua%KaqD{Ef(dy~e><4v=Tw^3xX`#5IRkA8`Z5;45v
zPlj!bgN~4^F?sHVLk#&^N~aET9d#yhK#x8uF%kl|*sUoY9dqlcDS<KE<YEDOn`hGe
zDe@`cbdN#%R-HU!ca5270HUcwn})~!k}idxQM<Uj-<*R=5ru}e3u&MeQz3!~=*{1b
zJyOBQa8Tt|*<$cq{AY(EY6xxV;dX`!UBmx=PG3d<CswqJXqG9xD@LU=!rhY*o4XA=
z@Dpm$mWSGe6en-EbPg{p!dY8>#=Qv_dKD$9{WJa-b2E`nArfuVzVQ?ni3abax_6<D
z1HId%M61V5^Ta-w+%)43JPoO3gTBN}s;_HX`3l4=Q33YwkIoI<`Dz4A?r!GNnloA)
z9)o-R&{=m7VW*Row71h&ePjDKk3#S_ceEnj<9x?!5}jPxUl_UTV#PyBuizBa3i};w
zy-qt2VuP%IeFZ1&kQK@*BC80+2-{rlyOD8jx^mOjP_Lh|O#e<yeKFV?ijViJ8F?l%
z=%1jIzs%96^hXYx#V!@ABc{TU#jHZHyNQUjTq#dyeQ^tH@Ho?B?YQ>1P%M5eIpScp
zF*a!uz;^7eEfirHT+VtY+oxCx)B<jp$?ilBL7;``cabIqj_WBBxehQ~$f3ST{#3EN
ze{Bejz5*9?;5tx+LS|T$R4gtcC0vyER!p!x=_~Wv@l?GHG(9*6l)=~d7dwCvfcvBs
zPwwn$w!z<KS8*ZdAEinMoC>X*ex>kHE&QcT_l^WF3fJ(;Bqz+xi8&z0@aVLi&ssO0
zXlYX&GHtx<`W*Ie8n|hR<x*UVSvlK24Ftk2OXE>}rj=Jo1GfraPZ{DpxjjOgXY8)5
zI;XR<n%&j^X&p>E#FtbXp0;IEyhHG@`EA7Acb1o&?Jtgs+?CDxY`#zcL*53&aj3{W
z*nYy~Wl3V2CU|sFHfAEgdNOc!WU*vYX*$qEddwtAB;&@@dM`Np%tFt_SNO5VM(?~n
zuTiGELhWatPn=Mfl2Ey_S;lcg;HIXC&#`k?)bbUmbhMBe-gFk(NPz<5i{{kX>BkVr
zB0Daf2izyAYtVI${VnVxLlQYr(0H0bO)Jv;Uc6sBwmg&3(gvG~iJA*y*)8MB)4chy
z7NtX4-!{<qk;U$T6$#2ltRc|3<Ye0R$mCQPzSs1Y!XLj)3&7Uy9hF-4<%BudIKP0Z
z{@i=IR;h8|5x<^D4rAS@9w^ew<E-L>;TkNoDCtDLc}g=6vS(tB60gr3d&M)T7w8gd
zWpJe}K#<<RA5`#mVkdj~so~|QyCh<peMMNjGPPz+SH67xx1gbGb#(sM1d+q2NYe|?
zFtP9%|FQ*BKyXPd&Lqr@(Nd7<9LceW(pMh5NL^3nvzSQEyhe7k)_TY_p^k1jLVE6U
zXl}M6a61H+UeugDCBfd~Ss~K+u*BjlLq--I7>C3VG1dGcIseJkJDTAhe2!^Fi{Y)d
zXPMNRb!uEbAt~qtK?+zyLd$2?B=0C=E`k(V^Fr1LvC+8bG*CS@sl~$%pVA}(_VYMb
z8rsEExwWDBQ<TN9^LovOeQ82`jhA-Cn}qMeaQ2(zlk(q%16BAu4gBthNI;Mp-S&C+
zr)g!$k8Sg^H*ZLXy!qA+9^Uq&{BDEUq>O3REs#8#+EZw-^=Lms)zQ}?G<96nxqWZO
zqS&vc&25<7EfT{?MUJ>07>l8iyZ)G|<nk-e2)5KUup)W4854Q?FWFJmzlm)|*^=V3
za=I+x@Q@Yr^D1{hWCOw6{bn7dkiN!ecCn?2ie=q}x)=dN{u9OiL6ZtZV^{phye=oO
z%yN2F)3+eM@kmVz#+gbAn-`~RS?9}`3JaVKnrqllC3h&hxqqbc!@2*)WZ#=5x4bOt
zx7oji6BPAq#@L}uhF{YyvY<*TtC=fovaS<sM~y#_O$1(vS-t3(0jef%RVQNioIgz%
z3LRB93m~UcIhxhQ5lRCa4lmabGB6<B!ZvhB4`+)Kgknj+bt#(OYmjxFx+e;sM)|!*
zD)e!2+a=aN`HG<{(@~5*5#rIGk1(CJ-7#lOv<H3jOQ&fs(}-s&8gL{~8P~~_>H?%m
z<b;O>N^Xt7NfQ`(W5u<P-mV#<Sf{=c1l6Tt^bk-A2BojYRblalP21LoIPNyYwrjZK
zOe0Llvj!5Xs!DGg(`RjoZ<QL{M+G6%#dAZNV)W#W9*hf^vNp$Eo0MOO!{LX1oxE}w
z;)~oSAjEb<X)a9+Z6Dy|-_d!p?a3!Po9t4D<t!W?4i49?TnfM#WTW332!{?52Me6*
z+9Dl<4n(8=3Iit`5L(TAdYFWMIZ2Suj8)1dd5&P+tA1Bucqs8J0O8kdb6bnLt2-9b
zy3Ka%(3EX5K<%+tO*M5*vDVb`HmGrX;HIHTr-7JnCnescQYUw+Fl*_S+*+;rQm>tR
z#0zg?t!&B0y^olQP8g=+MoiMl1?W0YHB>Vihbo>F$2*hXm)B2o*DuT7Qx(?t#8TiA
z&9Tpwv4FFY_hM7P%xX7SxLNci8o1jlK<Zt|St{}`V(&tzd~JL~$*!w$UA;t}G<5=!
zBN;>klqL+L$TFkqbD5BL6efZ@ntGZ?o;8CinAW}M-fd|H%#egx-1Eu<gO^Ag8{RU?
zmGQVpBO~Mbms~B1Z@%XcZSk2qTikEP2QYDv^G(_2>XhH(@keN6fpPwueGG!q@Pr^u
z<^E_zRiUrm*gE3PjX8XKJOM&cmCV#qNSOn-I()h)bpRNIyf|Y6EUVi7@1Y(TJU@O8
zu$5F9S&f6_1gDgsWFL*!zpwAJbuM}E@~O2zQJLgt3EnjsK&oP+idKL`4Ay1e2nb%h
zL!Y1m1CsL*_DhM)2Rxfv>E5&eP&!@EAauqa0XO`&6sSi!UuB>KxizbZKo=(cra_Sj
zk-JSH6QNT%)e_0oEsea~@=6R-K9^tODMh>gn2}?>>B*#XRxJp5JB030y&V0KrIs86
z<#RZTMgZ&QgtL_M-F|eOaEjOLY-pSf-{aCKVYZbz?P61lE--u%!1ARawSUhxxt-iV
zABwb!l1qpKz-(@#_p(m1?t!;NRXKW&(!{_z9!9_|GD!lWpvLEx^h_hXBZZQNP|Qkr
zW#&ZwA@eF_E5FDckayybg_+a%Z^KMLI$D=?sE9nj1T_}n;9Ivco&Cm4{@+J<UX5M>
z^nr$)MdF>x3&PF66R%0)cVDtUS++8GR}r!Ws&_q>BVJW$%{qbX<;;~Tx@1ZECqFhC
zq)u%jbCOeWP{IHQf7Tl6mB3!rgIm=>J8DklPVL9WXYc*%*n4ylx#Re_VniafKZA9V
zn|&6hH}z`m9*BJf^B+G$C^opiE}z%`$pSg@q%aj%X42B(kH>cPU-ZxlRjjLAyGs|~
zW%FyL=`E~UM3Q+6`G`j)@us>zV6TqFPshnE3>q&|Q4Am)`JjE>22~+ozFl>YMd|x{
zuNjd|K93t})L$B%9c)hUC*;On-5J{!LR7zs(@D!mh--qQQr9hBopW<arH4(~aQM|U
zg<-)GrSYjxr`0h$)6Gu-YbLEyw~^6L;Y_vSAbn7*FYm4IwjudN&qm~%<^l(8rpk`$
z5%OUQ5(a>8T&A?!=Pw4XszE%p`1@rV+>kabn3M}KH3j8JX%`gJcscS&@8>BK^N9WG
zw*<u%o)s}G$%$py7yd2H2o3>aWr8ilbwL^QF2ca!L(u|8-fhJ#&AN8VPtx#meNucY
ze$`G49NWT^XOf}VA-Rq4+s%o34Di^SX534I7k()cN}G)r7A2~*S{yL@BdS#P{qDSX
z4#Q#>yk?+J5^nbYMA~wNydED5y&nk2#i5G`1u!`%4q3e}*A%z#LGT5spAxrpf5cZX
zyPOZKNFi4Hd=^vSe3N~f3x;zbsT%%kK)>+>sLO8j+rq>eEe|Wf&{Cvl$h`V#Xgv&E
z8`J@))QekTipxKIRYo4U1BGQ}wc;3eW+|2y?t+TJJH*<+8h}ejd*<)x*8hk!>h;^%
z)7+Hdz&&vD(NdTkDht{>U+IY?#K==P&9GluDY}j3z@wr_nr!3Nwc8?kw3ROo>h;@y
zcGLy_X`^AVXFA?4L5R)ug-wh*Z}T%@3uvyyST_1ChAifU^a@ygAz%d7FSU*dU;Kxt
z=w~um2x+Vr_buzywZX~=P2;fC^`@K_qX5r<bT4m#i4&esm8s1~_Gg7AufZI{{&4}C
z8GQOxow!HGRg1h>=A-&HPx#TV!rX;N$~sgouI3p>Jr>Vi(o#FQg2@%TtFsye-$R#6
zWc^$gg~I`|yMR~$EC~tRn;taz+Zj3a8751(8u%8A!bih5;<M+fODC1!@$Ca~H(AfU
z7_}o54Tk#Bd){f52z&LYF#|w=QF3IQ*tI8<LOFVVHodKnI?=E4fG66~EFw5@5@MB_
zY8=Oje$8faQDWi_<tftaxc_Dl5@GIN$_~vbmFPL;TRYr62k9>vX@m7G)8=AYCe=UG
zz;gAbj?a?Xu5#nZjk4u8;X;s+*vUmiOph~jrY%r5j@QeJZuJ@%X`NgD`J8a+#GFV7
z54vGo_K{!*pR!-)o|%+-wq)Hpt9!|}D>$8bRJOy-@Ql*+?X~%Zp5Q};SVJ<dBNV@8
zZ|rLj{raX#r}*p6o2vPNG`gU%NBUuD`uMaTC~xr6`4TZ&)o@gIbw#;>=0$9{zMEXX
z<ZHN}krYr#PPnT$oMOYos}`J{XeB7dUXS_J-5{N|NX(8T;26)0)}5Ov7=%okqjh1^
zQSjt<g~}zoVDveqSdNU_buiQl_;<eFl^b`uh-R=cTVW6;V@gJoJ8C^Fy?gRhD{@*!
z*k=P*kfgrFX^~p7ckw(MVqKaugd}YJiFq=f&)~mJNjaj!3SGmyWQlPSOvc-rWJCQb
z@QzJp2nQvn$7ElALWv=?c?n%$!!M|MX~j8pJCrEv8cK;Ig-_h#MRxR{_3_uhEC(}L
zZJ7S!T&9;50V+cT?v7UNXofwooJ|a;ZHoxjoZ9&HNsq>&?_o)mO}c^V2eZ6X=<$Ea
z);O5{*KCdRf6}!7o2_yF&p!VDt1sc;W@i8Y-oSVLFI&6bVA!VG-YX0YWrCvzk?|l^
z2_9nVM`C4Sb>&n6k&%u{g^`kh0$JGJCf_D5>K7c{`TTw1w#jQUukqM9?XBZ2xb)^;
zcYAs_t3gUvA_v2pK}11H1sk`yz>NU~0}liL??`cR!y8#bo*A-2mlLB!1rzTj|H2X_
z{6{xo<$z$t4Oo%v0kLC30!d*3p`?IC$-=;Zgo1(J{=!BI$$+5s*D}!tmH`RD14k4~
zaUCNo5J+Xl(c`F|7}f#VLm>jW{`S80?Ct|;OH!dg01p9Y8#U7}A*&*TxC5P$5;0M2
z91>Eum)g!-Qc4re&CJLHT}7e@5!sn~-T-eIS?UH7pn;2biqru0K|ojr;THu^pc3ta
zVXX}+1zdeV*)-!~L4zB?AuvIq#Se<L_tz9k0hMtH8LER8UW0}G0^586Z-IVo!vm24
zeRy>C&G(@U?Dd5VAVCezL&LoW4%h*$FhNoY=}L<NUB~xA0u9yp0}mijfl&}#!Gv=M
z(lZC{=7j*uG<E_pnfLb{77<BhqT-MT26KPmAivSVn@>eM(t3rKkfOy)Bz;{d0*8l+
zFxk8U{d8#ia1FxWJii*jhv;hm;tWoXK)+!jxVQ&Z(R_s&$&vjwtP9NpDGz)a8<U^_
zRj>kGAT)sg$T;lngMD9veY2QQ+}%5iZ~<2{iwgM}ttd?sMq$ES!GISgF(?t%{a(MF
zMuCBWXbliq29hs9Kv2Fby2oN$f1k#7_>xWI8_`7W6F?EYUB2G7m1B8p6Yn7q{09B@
z8WvV1^~UED>=s1*UZ<ppwu5%R2^RzX{P%SOl7f0f%0L2n`(lklz<OzeANU=v8mvJM
z{0!(EsXjNv@A@GJdNp*q1NzC5g$?>ckJkT9n4AM04I{#YIQPrB91!ufi}gc0^&4~a
zyPcRE6Eft$`RefdyAQ!Th{yK>!t~co*aWOFs(&2lXLpWrPOx}6RA)dB?{^ar4Pg>W
z1lu-{m_<lNLPYg2h9F8kuvMhN!^AfHf@t=$M);eY4GM>_EL>>R*Gr#CB|Px^@aGA<
zVa!)h3CrNeU6}dd-9lfS3+&Ictc6IiF%T09^a~O4@SL=i8rmNCAk+fP#ZS%zP$3Xr
z&}b+S6YB?1HL_H);VKOo2vD(6CVpU2A0FAS6oQj52{Xy(46xjBKwbbX4vbrbh!n*b
zQX=GlyV-!71$pDN{nxHH^a<u=!5B_kcuaA}=&t9wHBzqzfpfZ#x%%*2-e1;x0awTA
zoGg#m>e=lp8=Zc=Vi^h?*#<Xl`vO70<JTDgK6M6Wz;ux@|H(JYnNcC*`Gi%KZ?TK9
zAod#$*#X7ivpw5IJ3)uFqYvB>?8vX&NYPY6a>{(kVP6cV$>smBbq+y-Fip2^+nlzo
zY1_7K+qP}nwr$(CZM*xQ_pa{Z+h$Z0B5IM9r_Phq1)WjT<OXGNCF8VU6|tXm_JsQM
zr4G*WQKz_*CG-^9jg2_w*45$zp|;DJk;4%J<rwB%%WI4shnpDYhYL#;a%x%*1-r+)
zWJ5b9Q_e8Q8H3K$Sb+6)c0)~np*VmZ)UP^>_4n8A#jZ0gzEPW<1GxpXa1^e1xw#>B
z>?B@y$^<cq%>wQFa1QDSZN@@GeN?r+Ex!95k0Wd!4<T#3e>C+BW1b+sU%W$ZvPo^;
zr`QX{PQ8<{G&ax?p)GY44YDnY^}S_n&wWso|1hO5<gSntJ+7c;28$d=ZQxdCj5GG+
z6&S?zUfbz4ar|h!>si8b>PgMu@V!UG8DEN1`rK<%4>K<cOGiSZP7mJQnAE>|AzTPg
zQj|uyBTq^U15SYTI(>E9I1WXPNeqkVu3|NiA0vH(_G2_sIqpr(_vIroE^0<I>4L=l
zeey?OJZh9`YwNp+$ujQNL6Iq6-D-vZiC8l(`e32~LVZ2I|0?S+@t+T}Sq`1rp9oZt
za;0Qt@GBXlAVh9{cgfM^%0>rUznL#bB0f@a0hcjebhkn4q|-q()FgfUol|h<7yeDC
zv5bYv`i)b_VP#D)Sb@JhUE};CGpshyUD=sQLOUK>z6$@?-rB%jR(4o1c^W$Fk1exF
za9*~8VdVQp<NfXkqRM=2r)e9WCC;j;3Bx}Wps~%+sDCpqjhj64(1>hm2juuLD6&-o
zemK->VDNZVVL!2hRximVn{QRoF?k)HgedgM5X?OgkBrwbRYqQsNO3N3h<@dJ#o~~R
zTPc0Z|41qrR-v&*4!@C#21$8QyR)&ANe3l<{u*X^*k%6y(lugzZ`Fr%KzAfc7|DY$
z{nK)A<tD1BFdd`E!oyt!>R`YycdE+nJVj8TP<oglJ=AM!HZk1>hi03L+#Et`5hWy>
zx&o!%wpqn5FuiLY<uR*{5IM=;(hK6(aH4s`ku&-?3Zx|l$=AqRAVE0>;7zmQlBp}V
z<;Ea!IVaqc^l~PO?1+8qn(xI~<Z4=~t}}K;%G`5gMM;)$XxV9+>j__I?~Y~W9Tj92
zRbiUmmF$?q+3L36@-Io~-EeB6*R2_4Jn?IA;yazu>b4r5*h3)2uH&gNSuYT8z}4Ba
z)ZlQI6`4-vUky(WT%IVoTLaSKbfd042v(k2B|!k9Eci|ja!j4;-~-|67bKh;C~W^K
zcuW~y@Wj&5%K0&QxXx|V@*kADyMzJJeT1}uV^Op%eM0NBq_nu!rB8kJE{S<rsEcFk
z4-63N9snomcT4yS+Ua9&hED`si8}_)b}eD0B4Y`o>{v{MYh?zO^dpc(fTItnx)N;D
zY<85M6(Z%(qvWenvq-yt+%j9PpQ|uDO~wgN!K^WLoV5pn55RLC9WWACY+mWIpgQ7~
zv?P?jZ6w9xZz?12$LQk>9$gPKpl{(w8V_(js%Dqp8BR4LQl#zt<1(xaNP$-wVPy22
zQr2&`vyiC5!^~(`DLR^P-Sn?IA>2*4TYFx^Iv|)j?3t`Rowad-u2eDi`(q2y{~bv?
zti@k$0B@Dt23&s|q8C-*m6FKP{%tA1LGQO(hb%+K=r075wU|69J;r_-&o232(+eW!
z4r(899%Za*zP?I&vKz~^z=^4<WWb~ziu0%#%9s1xONqi?o_xDU_fwgZS7xs#ipOUO
zzR%EV^MbhOl#m?j7y80ag9z7RmNg`nOziMBHy6XD3kr|t?K7dZ;7`gHS15E(-bNH^
zqomjU=cm-rAX1DKs|pey#~yT)$F{K|cDEHKW$UNN8V(|RC9qnN1fhEcv3EO`L!$n(
zgdw;MJXOU-mY^LR5{cqj7_{E?TN1fmF%$_IJc(+YSR3d~x(;Of%21ka$HDD}XZ1My
zKB9ww85p(!Dnp~R8f#Fmi;qDFG)+u{+4voPWgw!VRMIZ0UyFP2oR|Z+3lk3X_^IsW
z)eLSC1K|knt0a5M(E=eXEeC`iMnE(av)E5ZE=BXU9d8DlMAwhU3i-f>{UWz!$|g@P
zeI49aFx3ei#;L8fvaZ~(dX^j#=eO<8{AX7G@yk!OLHZxCMyDm=GO4c576{Xnr__)=
zPD$QAroR#QE-`DBARbyWNM(+PI65ozF8P(}@j%qyNw%%f<=fB9@Q+EI)oG2fz`YN_
zv8&r|%GSfg2sB|*%S=XbnGMU&*kz;c_&yCCfyPUtZPB0O3h(Znyh<SU`#ue~1NTmF
zbQd;=PFMDI<ms0Dq)}J&Tta8gZR(8H;(<+TJ@Rt!-v(6+aHYFR%hk_I4+11FKcbJG
zQb9aCw}e@!=Qb}4WGEhLCqV(Z)OCZjT=LHsyPHRT!(1Fss?F3mKThUbb1u)V-^1Lg
z<K0!^B4$2#f-%nfl(4Z`6q#M~`h{1HTXcg>gpG#ZV#mshW98k)M7w0*+C)ZDYXd3@
z(<pd@C=L2gW{i<@30s!Cd0=~=Q(<j6U1{4`>F%}PL48~4L7pK3iq0BB1q@K5n5HUE
z+qAXKLxOk2-t3#YZjoBz$mf8fr_m>FY;~*3qKPSQ;)qYA_b)x?SrJF}|DZU=6lJ*k
zN7YY`4UX2PaA;&9#1NX2MltMKR%)Q%OG}c+yKQ7|I_KCigA$n`&Z}>o4V!x@lQxY0
zpteuV$55K>h(DsOgy!mors<N6;127F)!Znk^+#Rb9A(Voi_!<R;mXgTxG(jVwoy69
zhs`9yf9h9~kMG<_*fl%UvWXOGA+3kZzC+K@GzHzFK8=RJ)>@;+RC7GAT-bfchFYng
z0Ma4FccZlFsLdRpBCzx*-JG~a>L^1Yl2xiYkB!_UokA3Qp2jajPW-XJQNV8Z_fbW=
zW{d;~n=!TSdDtlmLb&}T;jra0^)6VAy{uR^3?FF{<A*${P~UOuX-l2&Gh=&CW5%c`
zj(ngy<)Q8WwJ=<LAfB1~vuP69WOztti|c3^r@rXp@@ZrFW?kxdF128Gah!|^FZ;qe
zsJ>>zFim|4@p=0KCbzD`__N(Tszm<;;*;G3L!0zqFrETw%pBSJg6)Bc(O0_mrZ1C=
z5jl>9mLR6SKA9tuMVt!cJ796enw^PDrVU+v^kRCg#M;EB>M9qEE=t)8EhS%rUfh?O
zP|d!MsY)~FkoD-T(1QK8LLCNJ?wYC0a(TFXq3F;d(3pF-u0cRf!nvwH%Ax$Ga_l$*
z$e1Q@UHmJ5#Q*xLRI5)sYVou`U2s0eH1Bs8x@~wVWicXdw~oCPDn$1t#N7r#Re*M{
zG{l$74xz@iE20CyO>%Ad*2|cbuoynB#tT?h192W{5)|gG-#&xiTKgEQDc|Ny&T{|K
z%!H$W_=K>%-o#GpW{}T+_f;as!9oYRi&|-u_K!<eg5QWx^Xg<EMe`UsQCi_766wDP
zYFQX><Y?YCRI5RA_jHnLisg8qWESp18ys#8uW7Y<s!q0t7D6D6k^Q91$EfM$%^f%t
zQg#6Jo02uMSm4Z|tyc-YL}5mpW&1~u0htPu#!R6Z!Hv4duYqi=aQFo%IXos<b~sUe
zh+V%~*~kMINp*442Dh%ua-NWC!cDxJO>D=CmoS%WQl-pgTA_nqqNPTEupw``(!0Ff
zoK#6Cbw;eqXmDkk4E1*L!ESwqGxn@sA*1D#CS?TbQMIMoS~5DGqTRlG0J$04U>pfi
zqK5^Z#*Cy#*9|APZB3@l5iWd)#{H8Op<#TwCIknWdSakwLmA%jLL#k2M@UQcB_dH-
zWX%f04K`ea{k^A7lxk6`Gdf5S56T=J0vV6tq(+l*2#en5qsX0s_cst<MxGPAb1s+R
zM4R1wO)F`J>1Q&aPYl&+65Lf-UG!Bpf)`%#HYzThW!yq%+dK!aj{^4}%c<2`Lu!UL
zk`AOzWQF6As_#=>ssYc7D!1ZEm*?^~k3C}aME7-M>>!~)%DIkOb@SZ0#>^1y4adD~
z3(a(M=-ZXIA=f6OZgyTqiW{I!=c9W(Z-@#~E*3?9$)30gdjKQvFl)y0nQ%{^L`0dG
zhJCfHi;|;1dddUA=yk$5E`QPT)yZ?m(j%L9Do0j0(*VBL=;uM)cE@=r-zB!F0bx5w
zG-*ooRKVtIz5V-BiV);Yuxjh&`OQHT9q~jNqC5YV(~-M`Z&v}$oi|^-p<&Q@3rEJ&
zV0t1Cv^GtmG!K#*EM;#%zL$AkRIasxJSFtB%DJ>WabsuM7+wYF0vT)bpT|9^q?MKb
z6L0Lb+3#>Fw8dS-#a|Py#fB~&hKVY*B4f&2eNnMvYBLrNC!dYd7BkU)rM{m4ITjmt
z_r{bp{jAOwE@i(o(S+2ia6`PhWulgBvhuMkV!L?%-RBricGc-IjcP~nZ1PGrH5EID
zms%hJ%Yc{1?ST<pJ<SDGh1OYQvsz4Ki?W>HTA;O(ud9N?mryNN4)e}Y@JB^+BjQxa
zbI_wd&Fwc|cS)%+@3H|m@w_nus--NqRI!?C-m5ub2c2$bP#p+qUdVW=>`$zZmRwIQ
zba<<e$cp139N}7Hw76`MLSt%nL%}<8@)-O9;1)XzPkn}9B9T+bm+^3y>8Z*LlXr1R
zCgSwT_tF00J_?nyTAw()$43g=!+9szeQ_NU#i6TR-aE=;<BkMc@ZPJY7ml=N#f?5X
z@+941?y9K0<?XcN-pE)8W_kFZDvVN}wrP?+q#=u|=WPrOi`QZ|IiCx-gi3$&a}l30
zQ`n&t3j)XN0Fw>+IQhltsNM_^&l`}EBaF%)=YDLM5bRuk>0FLN=BB`c0=zjtwJ;V%
z9tlY(xw;$&^P7JAIU?Bp+0lLe+aaQYOCn#Wteq*t!~TNDCNWt3w|nK2?No>HT-<xi
zq&n%c3$haRVoO)D?ZhC@<iFC@uHcrcajdoGaGmMaIZ1Sim7|jN+Va?5?w;N6ZN*|(
z;~hWIyaB&fw=@~VzzZYqgnN)RJA(E&+7)>nwuGq^xleaQ;motcK#o094bg4}!GA%L
zW77`pdA~ZI#3SWlMXu30UK`m=Al}4%pN)KmF?qAk?6MBFMH8$gc9+`{JJXqVpp_vt
z3R=rwy~a5J1frVmbK#VM1kByZW*busdk_J~z5G{GtQVyFxJWtUqUd1#1E%p^UmZhk
za38l!=e$)>FtBjIKln84$-l41ug-zZ?w-Q<GS_8)XsZ;CcYql_MO<{W<W(b{3t<Q|
zW)oqTG}zfWs!5G6UU;Xs?Ro|8{QuFQI+d@`PZOIQ<Ng&0$KNbH-#-m9q=kV|33Oli
zfAF|5Kr=FE33Ic@bd7YF%{MeJcT9`Q>YwKK62>8iUc)z_?cf<kYpCGsr~yZvWcJ`n
zAZ)NKD#b)p(nZ(HjlHAsEfHGroFXM*m|?aG<l}HTXM2TXyf=zAzWY0y>Dqz|Djd1g
zYKA|*@UI?YRj#&FQRv1qV;>_D^D-?ME&rv(=bBLm^Zs!4r0N-hqV0;u2MvU}usRn-
z?8!yOW-r~oRjX<VYXWDs-8eFA)2f*Ws(7FuDRXl(nwKl82y55&g{#(EA8<N8>bm5!
zgz2$>T<?Zpp&|1QoiTVW-S?7PFyWf~0Wq@RZ$x@+Tu*a<z4OV1d@Q2t2RD__6>qTu
z++0ka85M-@c^3wYr6%v{6<YA(J8>SG#F)UZh!!wS$iKr&G27f-l-#U}R(n0Bb76fZ
zs@y;1=2!b_8{$5XF7y`2vo36ehZqARLyCuMid@%QGs8KJ@aO|bzMk2iR?*&5@lKbR
z9TTj$L+fjqbc`-RFg%FU=jP;W_6kSJ4z<aj(XfcTXkTZ@+RN4F>vJ(!A8|=T2B}v}
z`=XAAcM$u9iwawkp9mIp6q)g4mu#?;?`4y0c|Ff{EXwX0<Dkio(-(0mpm!1X&O{{7
zkrK06dQ;5y*?C&@%M%>F9X?WnLar;nf*^EwpU?4V*7Z%UU#NgcILVG8tKis0jz8jz
zZI70r7fVsP$2)nQ+6SPB)=T?rIiq+AA{S(Ou+s>2D;v*1m(;?PWLhp@<2{Ufje42;
zD5RJr$@uV&7-bn|=vIf(w-&il9lF0RM6s+c82qMd*Ik*)L?jfy5`T@%LI*2Lvg3W+
z^_QT~BpOD^22Uj;?cig<v-X1f!6D-{EVc$vb@x?(=_6d<-&t{bN?~^q1e8|lOdn7a
zo7CAv?d4fi%@x;*URr!`w&ox!@p}yPNeL&75*ewbK0SQ<X>)Eyh9!N|*cLx=<XIqn
zGn9(9BqRgIo03F@g|9`_fRd#KlCA0bY*oMQqF;Ah^Q_(5W40~2S0@-t@E5>9-wj!z
zEi^w4E%d?@|0;o&WsrX6CxW-^8u^}zJ{vBSw#`PgA;5fYalZ`c8bS0C!8yynjazM+
z1}@A3FW>jXO#!<G<0((TxuqVGKTcze3ELE1R^P;e$3t7j;*8NwDswWydQ=x++bF)`
z_{j_dPI|v+3reBc&n5HwR9vcU%T)`IY%BfBi(DxssCI^b&Ue*)pq)okX60d!gj?@4
zP-lS3m`@X$h-S@+EPm}&m9iZuQ~LAwMeoA}0HK{#66y({65kXbFd&UefmD+-%2ZM+
zQPFGK@Y!(FyP%Ztdr<y9%;a5LBC)m;6=YU}s!)vmK;AY&)jCzd1=<#<cZ8|ue`J4D
zKZSC<TgJ@Y`R_%U1OD9n4A{!zOl)9sz(*1{)ClVs&M#<*KbP-Y-BX>yw{SfWTd<W~
z{%d#2OaCg$$AC)%N(e+D4M#;uX|mVK9fzg6YW<Oy7`ZMToHB@=&GoJ%fDzo@p-Wt{
zxc-zz*n5rROs+PL1zVh;MBZ#u;r7x~I=-%re=)5?3iHTW4@Y;rB)?cpodsv${vOc1
zZG`#x&d#2QuUL5+RRy|8fFHkh4RL8ghCGfevCgTkLS$KNLUqExjxc`G!S;QKSRlZS
zeG^>?+?5?&rcD|1r)kz71uGot2Na*HHny*DLTy9?-@Z4S@Mo`E=Tkw9VER<k<u=@#
zXYN6M=)#MuP7!77WtM6dkDal?#7l9_nkc_U%CMeFZ3g#m2;0k)C(=`*>QT8T@}<jU
zDDzeA@sMWXKn%F<&`u6e+@*^;bN9F<Z4I6gHd9X9al@Gzd#SHtPNWMW2WgK-v*-1b
z9?ME&uvGIF3#+JyX0v>CR#LLji`cEHhT%p9A`iDN2_ufmhv<x%L~#l|_guXx0VLpj
zoIofs+;@Vs`cb}W_<eq?-5zuD)Nsw(&J`wxd8WrgPtA2Wu=<bC<?|$0i__xQMvC0X
z>18_5$q53U1{$D}4?pc?z`I&T!_@QO;zH&24VeY^B$>#Z;X?lqK^OVI+=9j}lk+<6
z^oDbFMChN4yWC2MgS!Z7roA_?-~8FQ4dxk-ZpoI2kzF%$fhKt#eX8&UExh=$tm9w#
zvkw3D-l}2uxT7gsEOpWpP8X6j|A#zlA;u?@OjJR#3*+}Hd?-a40^j!$uGf8wfHO5^
z(Q^kD>6P*J{;+u7;4N(Ekm^(U@C`E6=K*gQ@gM{+Qp4OnR~ZRhp!$i@?UB+ZZ_Ai^
zBvcd{ep@t?lID*|MuDQcaztXKDFc@wbGzURl5^e@j+&_Ip{=nPUG$CGt^r6<!OY1l
zY{jwcEPeq|g$mJvO^8yuFnJ`Q81`1MKxf9trEs>>9Un=%KaZ}jHWs#c7tp{yQ{oJV
z)ZZN{6NXlNzGgQR$Aqc#a$?!h<a?C7Q-~W_#>$@MxZA&Vu{9L!Eclhp)OPp2ep5lj
ztoOnRjbySs-8z!qJ2!Rryx1Rh?f*-9WB4D^8w2zI55Hz$U}R<ZU%oa5Mm7ev|0ljd
z(TSK_IT<_P(}`H=I~fZZ8`>HfL-FuHIXXEQ>sv#)ZA86*%4vmffJPk1*g>zfb%MCM
zx`vKqkKhD=L*P>X$HLy`29d1WL(1B8G?^hj^{u_wDS&$UaPn?pRWhQykSaivG2x>i
z6GcGAVx+?3(~=iViAL?4nCPFHn1~S)F4hNb0RK^q5h@0Ca&EMDIQkqE*g`df0-7Y2
z;@1-tCKL6`>g4u|2JRb~9({?4O-AjTnV9(06(m#T@e3*sjRxh5$G|^5f^ZTnKyr0>
zacQn^0P}zRdPU^3lmXW}JoX-a!*lg31D;zR*;+!(GlOaX<M3n5$lL&4%AT_J!@vE7
z<fqbu1!8}!uXFS8V94ZXqvvebfSjiX;<Dyj0btI<np*}o1AMDA@=GWOzRO)mi!TGf
zTw$^CrCQ3S=Fcgq;R8_9vo(Zsasuvb<J17q2Hd*>a8?KPYhawaw>1pzh5ZBg%LLvx
zGWBBH=G*lPWpwz4XR7GvNCs}IC~Au(O66A^{f~Q1UEBxr07MTYg+uehz|`#O2=tlh
zk+!jxnc)xnBe;!%Pf`K(7gY64*4yT!hGhny)r1x6v)97toeHLHIw1z_Kn4zuPc#l|
zLHCQ;O3VLbugA0Ti&2YHluTB1_m@x-OB8ytccRYD)nwkO$=)7(LgLF17>(dNMIDeI
zfL29C1=j@^U=9@EiJ{fxoytF?mGO>OqNR6e5A(}AJ39+7Wskw{hb4vY4v$!uRS_N^
z;OGMG>GfOjz84}q8dgu=5Dq8}u-Xbc-bWNX(m%!5@a{|7x(nc=YVX+)xbElq@ivjb
zZIC((`?}jV^Vf8U`XU0#08;|yH|eWZL27CodT(;5A5_oa)Bv=uzTOdN#~<(Omo+A$
ze43Z*=Puc~$qDH0M;d*r^jG2K%@o}1mmPtl?{`GO0mzmXf$!6E9#*YgZMwgA?T5Ga
z(^u=~*ZN&o{zn)6`<EfXp|$llHs{4Q@E5PUJTSWZl^1Pq+8NxxmTw-?3p(a^RSE0u
z^_&uj#%c@ar&a~c2&xB6UX<!igt6Y9q0!-orqw>N;T}k%Y|U?~`gbRz_c+6MJF`2Q
zNN#w1`lOZ>W-T)L`S+|()WindC$i07^^unn|1IQ)wYI3RJ#kofbYx~2_OG)u^Ro!h
zEM`<2K#$d4WfOqMw`n>c^;C=uejPM`Rv~ZS!Z_-AZNGyfpqkJx(sy(lAhkj7JSRZp
zo9z&=Ui@3M8z6PUZ-HwS09yHO7;GQmH&#8cnvo9?96;oi?GU71{AYBZ){!sKU-aNz
zh$-QFRv<_DkAI=0UtumiTFPF;w8#rvkduNJEdTbhUlBc8%>P0s|An6ah0J~<-TKF#
zbcX;<OfL3ddJ=neTz@zGicS8FN=&aTZ^uFSdaeigPI3IA`u%kKQTBso`bD?*4@~D=
z4`e;*MUt86C5D6hM;mXJpholMvy<4nh1hfO`%UzZ#>v9!(kii8@n!SxG=9el5LEjC
zWd99d@f89%+>MJoq&vG8o#}m&xvB9D0?$<Y2J8p)B|8Oq-QCz+$2@xr1yy?y6;QD|
zy#DdqYgzjR?B{lT3*>6U>lL*3*T(68eGbLd%3i#^(lagnl@DC!{8b4IWDn%ci}_{b
zk!kTQ`sL)3v1{!A)H{6g#Ln8A$iCj*{t1ImY5US4wDUlBCA+IU^9_Aco&7b#$ND#|
zq1|_|AFeM`6tvY1*iXh+CYn}r=J#(@8m!cfE6|;02B^_B)R&>fo&<l6j4zv?VcWkw
zNx!}U2ZVe6)FbKH*7D-Bb-m&tY$@jM9`(h0`PKNAe&niVwRcjrmFN9>MfOpB=zit;
z()#hy<*_eZBqXx`dTw^S;<z#w1m#HWmaehOhtd|-A~wAeLvp<+3l4$a)UrJost9?a
z`3!B@>f<)1cCl=p?=@^-ct1+U?hk5PpZPU2Z5lsi_M>>QxhUG1{u1nNSDOy(o9PF8
zt`x8wxYIDmhK`;&+<Vhs%4zs@6kn(oKVxu7FUp#rl$Edjar45(g+nQO%`Q;SRyJrZ
zc!bt&NU}*KR3sB0QV4xL4?Mim;uN$rj*9!YaFD2I+04VLx~M=d+(+B)MCKI0N%_kM
z@jV{zLWq`Y7kmk`W2PK>$=+<rc4m80`&MMKa-&5&#!djPR3O^!hnP=KF!{&uWR%Hh
zSZ<GIK@p7yvvA>DXkcVXRc)6RrlcGcqPrfbyv57uC&vlhp9deP=EBBs5lkD3^~dwz
zsKazMY03-Lo=L05ldwbj{2F_fD1+>wPJfGhgj~aY>(uM$-Vmuk3ub7Jk9niG^0B!B
zI$ZG>3V|l5u&=gKS+XK`YX|!UQe1ToGc^s-zsTw_1QxQ8A)hq34p}K{H6dV4qlQt%
zMBpiL9|b(C83k_Sah#a~mApj^$tZ`X>esBoZ-KO%t-@ZAWr`A}PN%jF(gjBG0^ci-
zTYpWgsZVn?UBgF+V03p^q4|UlKDm~En%t+QnrC@dWjtYtR;se=q{2jKUvp=i!<iXO
zVUWwk?xU;lPH&*uK1s1@N_VtXS>$f*1=F>BtrcZu+~rHZ04eAKpCVT(ECTN6hgN|>
zT*4+Fpx|y8UV+9E?kSLcr#N2yzB=H-a1tiAzm#?|Z*ISvQ4%8pNbXXmOwv*xiT;6|
zfj8xg#ZTljVkLcVKu>AoCKFGP4QjZ(C?vttCQ7i#mls`evMNuia_0mMAK}Fudx8Z=
zM~L;73yZTjw3hDOBx}F>X<pPoPmGuAq2@JCg%f|R2_Ew(&N;L9*=fml0o;b2a=p_D
zj%=c>o070L3sCm)yZl8Du3^}SiiANgCn^d=)e&lVIq2=se9$vHEOX_RiqGMsuTQ>8
z6IucA!&L1(T}^)Zwvf0rmLs>c_5>F;S^-EdC(I~U7!#Wz!Y6JuVG!+UOVKT3$iE<|
z(OWs9*-6wR5Udf%b3D+PS+GsLHR#WI$1upv+tGI4=*cR-IieZW<5%cL?=y4=6pow=
zZ7_X8Zv}$+=-RfNq?4b%Kw<mI=yhWRC6X@GjtaG9wy@7vma{-55tQ2ZO)D$?_Yhw0
zH}?qv14qd#Y{g?1H=6R-v~C*OcFRs#Xda9ap{biKIrxr4%wI$5v_-M6idf}LQbUV#
z^_zG2m}e@$K`3^URG15J<;XI*@HA}C+r%RiR&N!q3rS$4OX6oWa$BIgSVqjdJww%v
zrQ;I?_|xEO>A7*T|2ZGz5kiUUCv?md6+KVJG+$MjURlpOrKHK-;AB#1t6B8wbDW)+
zwH_)?i~Xir`Wv5R(=dv<ej8Z*qByp^E#)~1o2}KBl`?8I37uqgzX;+TDUmI<HiBj&
z<d!K5^>$Hki<*)-1|)YR<RK{defin7R^o%(53jA`pvm`@L&)QVUY|*S)2b;i+@~Gr
zHH{J<Q|u|KX^8L&!ZR}?>15QnA-0nPy5GTo7+?^IV)iHQiY)D>fLjT>ZU$Qqll^zl
zY4`<E{uy7n0Ff0vH|y8@o+mkHARN~4YrK69sJ3oYd^VG{+vm_jI+ImOts2t48w@yZ
zg-nP5se{%F>1v@xR3u(BywF8&jpJBx&7kY>#7wOz(s_5t^ulWoqoJm^)!T0LpUzG`
zp6rQbCAydi$%?(dG)}VBD793&fA&=15N}BDaq*Of#Rr5z=wzK-TknnxbkbC-l;6tV
z*L)q__>8@^Qci@W7d#5B|9r#;m2pEX#8165?e3Oze+G6(!btNM$T6XO4o+t-*#vbk
z%O9J67QJ2_`&|G<6oIp$e7g+X!?fZmlyad6g|&!6&K)1-pXYGd&nf9)=KfN8kkLgR
zROBCvb7sv{bRQe@ECwzm?Ly`0qWe)#xP;@?a3lq&3=aGZ0LzWCPrdEvcnldNvDoI5
zgaqW-azx1EpDOMWCQf1A=5&W5D{&U?blp7p3$KFYj6}phdsbb=&E}B~VO~etG*mi~
zsY_I{`n9^uH}7IDaDC?WH_cC!R$XKw_dk(I#ES{y9(6^~S$s+-tWvJRqHnCg0wYi*
zX7hw7oUt`fwQuuWK7;e3lzfd1lUQ<n5BnIwx}f2z)T`Lbaq7AU*;hQY!%zA?Ty>e)
zq3A-~o%Lt~vGaS?!0$^kR+|bv!x1q1k<AUCvR^9!w0YNFa_8pMjKKCa{<-akx)wWg
zq(ySVMh;2L>*f<*Lq@rP<jQgmg9^}k9#=l_h!7g`()4>UxrwmPO2`iW0s(^koM5PX
zgLb8*K+VQnPFq*aQQln0lCyaeQV3<tni4?|vKLn-wO3dYZ&i9f304i?o0t>{j6mRL
zhU=2g0*5AG*nTc=Gu&|*7F*_MD@Q@A7LNS5rW6aR^@gD{_{5T9TYlXDS;}ufHzmLl
zYG9pNFJK*3TY0K3_VW?3Ud#9ah8dXDG;9jMgpuw<vVI{kzqqZ(?<54Xqyd~zFodl%
z2tG_EeKk$9bi~uyXDkeHzb)0!_=(VZ*@#Xoyo4-C?(}m_b_)zSW9?5Atw|nUs-T#x
z`p`~qEQkonr9pT0fnasVNEljc+A02Jb6rC5V1u67%)_*FFUh{1N07mXkj^z4`NvLE
z^wYPwv&yKWhlSrvDyQ~k{}Lv^ois8ac|(KmnRuYWNf1%UE^>0)GX%l?tGJ?##JMD{
z7BL6qo<r5W8r@1w(6bM#KKC5eRAcE2ajb9y-?yGh72KWE&v_-2Lu}b&sA+&TL>+#6
zB8150A~fY%`a-tsZRYdh^XCsFdGRy#u`3qF7t?vu6=eue*k(-ci6#0?+!ZX?P_9Zq
z%iDuu3$M}q8~t==@V_?3)b{*9uA?LoiQ@i$ViV*S6P>Xw&26C~AHo!Fz|<bw6tKlN
zB?7r9gAdNfsR7FD;$&x}VXowm0X0n*w`&TWz8t=)F&g7F9j>B99d|;etX?5H5t#bA
z;F+pEKM}x4MAIU&@p%f~^eS^~1qHzsVBiQuYsRr9+nkG^*6`zExbizOn}E#Wu8=<L
z$K1sC^VWdKj$G5)AW^}et^hB|^S*Z^TYZW#Zq+7Fx)U_YFF##CC{^BDHBASnI&tiI
zr`^Dq9u|hZ3o(@Kwq)Jn^~=WMJ3<)N|B`{LZ2YZ>7C2(2H(K@9knE|tQQxs$ZNEMg
za9T_%kz99^P;87%M@15YI2$V5o*I+-z6g0yOM`D0LR%0&gy|h3!`8~%AqB_qa58t$
zis?9NdGQ9>us$crh_BlP&uQftTN9~&@8oJt#j313{P1QzephG1L}2I9S1oPuo;-Kb
zHS+4h^Z!XS6P3H;1e2jYQ1-|dJrNKXQl|b;em`q{7SG|7ru|kqd}kFM>uz)kUFBor
z53Rortw-otJw<B?R&#1JAy*0~+%e_)wWmmgI4i!9SkXQCoc4@yx4_EhZfK34f!$%b
z7(nLHqU|g4aE4BuRNZTqexj<dXvsoz-E!gYh(kULkIeW!IADWsEmW8F%y=l)luwp5
z?l3GE-D@(PX#7XiI-U?5Y7w@(aGq2n5GL-rQ%yJRUC@Hw^7Ji-g~ss-S_!H@Q=CoP
z|Mvt|vMz}rIr(PyAEkCL6+$;LA@+ZOVM|ZHqRl)`N%>PjV1GOBDXphJ7LN^IhdP(?
z4}dXf&Sm%-k4PDH)?ELPAblwT)ks*Fl|hSJ*c!fDL|nL@+kiaBEC*bVYbSuAf;r&h
ztloWODniKH+rxW7SlMX72U}2oh3-=RY84AaV>*6%PQw%6vn@9`BXIl|N{)|f@%qfi
z;OX6o_Y9eF5eFLjx3DZDBAU7wz<{l^yo5(9b8FrE12XQ)&bs1cLgm4F_4&LUOj3v|
z0BxPT69aXr>AS*YNCO3zkpg~z>rwkkq!Fpomss~p<?B*v;33B9GBZzC%Aov$0qKc$
zcTpJ0nzg{k$(JvjNu(+hJltCELoGqO9jXC!o_3PmryG9@X=C|X)KE|wA|b0}2PKzi
zffyy4QADD8L0t!Cb9~Xc+ctXjzV>XW)?ZDFQ+qcflK&QcR9Ty}LPllrwCH-O)TUL|
z8@d7UJ7Rg`CO-!ie?A`mE(E5Ydq}t%o;-BUtlgp8J=iTq*xfBFW^Qfd7HVfHDOyPQ
zxFVJ!HZRNr0(!KF<kZVjH)z9Jdal6{x#{)qX4Xt-&;iDCCDu9X8B@svcP>>qdO^tx
zK|=88ct^Q=;dkD0`Hx;91*T_7^6VX|0Z+Vx&;T!D@uA4a$vHk2xmo#MC<}-lTmGhl
zK<qe60#my+ttHP^+_Tuw77>@XE1FR_!LI!5-bxPDe&XPb3q6G9!-CV$_?+jTwPn=j
zY+11-`nh-hKx6afV2x8|8~vs`%bN}n?7}b+vp>D2><^Q*3!njXrOd`WL^zMbnr(}s
zJblBu5OccMNYkL+A+xqpuQ$e0Xwu~O3byRve{tvHN(@{68mkmXH>jEML2T4+%r+Xz
zek$GwX+4<)&fUFr$x3h*&eg*%K`;MUPNS?pL12kV-r^2`z7nZ@;bIO$JFhhcpp7)!
zdya7lFZv*DL`N-{kwb-*&4zTvR$nwJ?$;BO+oB@T^0rmLWCD1t`su+Zn3`|x+@{>J
z@S%Q)U`wXA)Nx>TcR46j=G6pEER&J6iK8<MiPTR4Lq1_?r%P$nRY?0Ys#Itw1Y7iX
ztnYbdY9?sIWF|M+<WYPq;ecBb;2T7-uG}?WV4G`Ra`zg{oS>w_pMgru?^8F=o17IZ
z(mJ>ouiULIj^w}Q>FRf}y}E36iPgKajLMM9i?kpC{JX72TH2OhZbhDO{R)2F1dcK!
zjL~`+$wq(7qQV7mTVUIVp5y&h9ZcX7wG9D$3XG3J-3HyW94dX>z6n*9zi=*&v4fVo
z^@94^$5gmGfllM(S)Eo5>WPx%sb|qxMAc^9-%GPM2?1|SY7HZAWih7_+naP|ZE65W
zHd6#6uiH2?YESGYeGntfIC4`t7sz7$Cb}mH%C!Rq6goAH(y4CamUN&9qJUa(b@pUA
zas4YQpl)Mk>r^)Bh5=?S5!yo-gUukrCAD1{zIpM0h0Ec5TkHaO>@p0Wpf1HitXAFF
zzNP+s1kasK$Bf`sapVXi+;5Mq_DK+KZ8x<&)9idxL1)1m#=$qvD65xE0VmtIBxHqB
z>~0x7dyD*AL&W<Uls9GTYikC6D$=QorV8%;v)yFEXL=lMPgk{pF&#EevJ_$z+&Lwe
zGnGCt*ECFZg~?aQI1jmYyX4|=?t!{yGGKRBbh;D@4^D7ByDzxT+ns`-m`PB6Usrzg
z7?Eqk#7+oPiDfQK(X<a0i%aO?MTT}#xC3ME*c6X;;*AVdSsqo!8b?Hvbq&C+ng7@8
zqodag(6shI4kv0J#I;4|g!*9Y3};Prs6B}DTm^=Gg!QaAX+164^$%sO;e^b+Ul0QL
zHQYmywTA{^QE%j*p$f~jY;rEO9e1K7o+h*y=TY+JbGKt_GYZ2mtD)Mb5ls<B#FS$y
zP<EX01FAC6o2YgtuCk_3D~`nx#)(Tu2EcmTJ;aFCw`Wxpd&b_hblNWoqo<P>r=N}O
zBv&<;Zt-zY&-L1e(F?28?A(_lDR(UI9*ftu<5)6TO|hju!m}|hJrfMIDpRrz7tjTJ
zH)}a|p2am_{0=*y<K#%Z3Y?`n*q#Xo_RT$Va68CpweYhV$Lr$1UD?-%-aF>%HZle{
z)@7mfhluWvD9YRsNG_U#ZzCkiPEB;?z!C>+70+>s;#E^P`wgb6SV1g@hG$yy912-d
zI)73psJB?-*)+TR8uWYfZGV$FEb%^ROp-MCx>`#AsQ)-0)QXA@65xWV)5>ZKV!&5L
zcgXliKkUmEt>$auB|+SIvg*-m&a%@n4wm*V_y%LOAwDfn{*;g7+z#dOF~2L{wV%M<
zrFV4i7&4&@Zuf2tSCbZ%2FW{@id1N*RZDL4GeNg}+6<apUcb%`?2zxsj+*4_Fs5X<
zLE#-X(<}L+hUEoY+WfUw1zd$!)!h7JWPcf|z;|l2kphw<SUL??Ac2g-54E}4Sv@!F
z5!ulQbvc194BFduOsSN37UrRZpTAB(4(b%bS!F(im@ICgX9BTfl%3GCau~sJF*qIa
z_)I+13!H_zR;;Ga{$uAvz%COQO)c7hcF0r7+F;GCMfC9Tm(GY3TY*e7z6^WhJgC9F
zyO3Jd;iq!1<;R$Jh1ptP2Z$qr&MPf+sOC9Xn+-^p2<If}p1)bl6;Hn9`TowkJMD;|
zN(;T&GBgK+@J21V;RE4Uz%LS|_8nqaTfV*B9g}}k!6P+zz|J4zQtrZyRYYo}<T-EW
z!981pyhZE&FJG7se+P^@rBAZnYN~D)m>HdA%^^Ua-jqi8-i)S1>CSkflUSz%v0u2c
zO5%=pHVQ2GN^*DTA6#lSBiU8b7r}&6*~(zLY*3|qD1J|GD>vfK(eX$u5q@EnER=3>
z-M!kMW(Mr*-;pclRN!W+*kEsNo`vX`8Hh?F;FFb;7A9v#(nwfQYrA7GKF(;~G!7+Z
zDU{qf2R@5oaSqK<^VtQ?vO=)wzlUU&<}W*}s~%9o46F=8aa2mX@$`$aqj5zVT%m}y
zf>wwMmPuJU6h(5j`R;B^)0FKVi91F7Z|2`bUM~3(ZcS_rZ=Wx-sj5y;kqJnaXWm$j
zrnbw=rTAGp0ZG#Z2$TOnmdqgPDtNVcfm<Rb;I?3%Vum)Ee8&R^!q1c`3U0%#7>8k4
zQzc~OO$SC)yZ9ti9<~T!qzwDSlHEHs8w%M?Qx`cfFWKXkykrg9CL=Z_H>V9}8~#Ea
z4r%Vd?X<VtpdZSB2xC$w7jynTbms&=SL6uGHyI=M$R{Mg-^m~-N=|nS-Kt-xUZSQ4
za17@l($UyR*QoA6-f-fzwk76x`sl=7;42o80r$}+1TQ?`1`yrx>AVRS40vja34MsX
zyIKJa1l&%N8Qi<xyGa4M=#b3X)uH1=6WLkRwWVg#X&3nKk{jx$j{-B-HZk<RpPSsS
z23%-y^v<jfqT0#*HewnwEpjWC=sqS3k;ds{`RVy_x#O3}@*_iKNt-=SwWQ(A!B)H6
zx#`$jaDb<8!U8>ye6(HaWR8WcGk6^0tOho&nD$o5ayC*^E?MEa`XN?@f^=+6zE5TQ
z{ajGmy<#U_^w5o7j23*SmJ2&&`r*LrZ_IZrX)CxVj9zP}=j3u_e`d<<zUS-IUbFaY
z2)+`vKL-azp{$0V3=*6HS^erXKbGLazJYu7B_pUa_p9#3`dDZ+cmR==1ec5I`j<o}
zZrii!2We1o3p+J}c5jf{+*Je?>HHd`ZWIWieAt4Pan2QUgP^8XJ{#~PckYUUPqUbD
zC&2K?Fnj8b^#pte*e>i>Y=*<Uk+L`}YwaGwUD8&w3f_)AV>^&;JRV$HXQ|<3?nURY
zeK{2KI)h$`T`>W(!E4M$#AArJ2@stGLokofMhb?m@ln>%v2>dz18OlQ3BeUFyy}{`
z)!w(~D=q-xrR>L4@y)@2cSVfE#8e+w4_+OD7g2Y4Ye{BX72{0~=4}`gE&(m;2SFS<
z!<jA)+L1ggpGrWB75*3<K7N0|gQmV)PfZf|DvxP*=P2=>2=#P1p|qw5O&pd-@+>mR
zyY>|7)PkOXr%TJz@ic*4cRJC9l>mbz<X3LT^iW}6O})V9(YISC>(?{Rc@zobw}&e#
znb>S=C-NdF^RpW&qS1Jzh)TGNF}<HlqEu{iyY)4sX>*R$K_fPYA5PRiryC%raMh?5
zb<`wID`f^o@rx7K!f7ZH38~)R3v+c|$T>!jI=Ww9t*;A&x#+C*o+Q#I064yM29et|
zA;;8W%z9KUPBz`4$9GVR5di!N(?JPUJt{Q34;H(w3to5pt-S@o^gb9a%Z9c&*l66p
zDQM>#b~>l$r<8%xpfdR``jluygMsWp<1B~f1bOe+xj1ns8vnB_Vfq>!ih_9s1Ce1f
zEZTT30h^xIk0sKGd$H@292Wx-v_=Y#vyFu-B2L#>MN*hF#r(yQ+D1J8PCu`o|5&r^
z==zrwW3b^hYJ~J!<87VL;0f%ru=P8cXUS%Y==JS5Hr-goKD<Zu+>y-G2}ldWU?jo4
zp|grp{dh+O0RwkGvLL3Gp38GoSbFy|W;}cCa~8F=^_6?>6u-}9SF|49RXQCD#y$P@
z4?Q+a&zC{`RH^%dvzj}i>!U3=<sBjP%VAq|v!%1wda|t_T#}~ck|M5dkgeaKojRjF
zf-Y~q{mNO^sOHWf4^fr5bh&ZgMvGE>%Ww|MWyMw@C;d_6`mEc)PRgfG$u25Foa>Yf
z@whSMuZ$4;n?ERfzf(ywWFmediPX@=d5INi0Pv%CNe<$XOXl@Xf-6n4RsC2T6Jkfc
zMfSet*F~aI=BHh1QWF<Z<yy#M8X<Nrqm|)IjJ?i$rGj2gf+=+p-)v#6ReArElS<L4
zG%mPe2wn@5K8R%0oI_IIrtK4TY==YojQt-=u`(-pD4>Y#Z~=@QJTfabKFXOL&NW2-
zQ9S#ZI&1^yIT4rE%chlXO;e#d;kvErR6WzJmN7yUgGY*>ui3|sKeTG%gq=OZW=eE!
z)wmBc)J1BN>1KPp+7hiye{mtiC9)lh`30O^su~1-H5wc}f1{nv^psvD2~INMm*vpo
zPT0S-2I3|V8`k8bS`p+jz;{ILI6?k~YLB<658U${c?gk{+6@m@$1^V$=f}z(Alls~
zi3S}=8sGx}Y$^@ixs#Px_;-ggL{&iv83O=VUSI1(@9UsF6_R15h8h?&=FR%ktqgBh
zDC=SdIOP{XnWFB9V)twUvQmp%Z%wP=xGGw!?bq?|0BOD~;1AW`Uc8ScDenC9Xk!`q
zv>##W^IFH+wpP)MsE-po4lLR~4{vuFKs1O@(Wf|?)jQRuJ!LBPWc1nDI%Db6>39@_
za^4xiJ=kSO(StwzQO4Byu!ut5jZ?C^&OX8VtwPt!?iuD+u0<YojFP}=(e^c&FG=iS
zViWtM=izx}A*dEkTm#B6P=4fDBfe7LS$jhp=}tud^s<)?GukpGWBQn&QZeM-BXzqa
z?-S2uPc{;8Q@s;h$O`(KKtq?B#su(*tD+s?@URHM_>I0!gLk;`_X(tQgFt%;cmM1U
zXaM-@{h97QgzDs6*V}&R&FAST9pI_GM)GylekDe|r_K~p#6%AyJlLpBaz$6vpG2}#
zKgB=LQ8Mt$v3D&8L{X5{Za03|BY_w74+nmxP1wjiesEDV0b~|apU6gk;+<_saz1LI
z(AVVHFr=(-bM?zU>uV0}sJcy?{gwPtb%A`at<iX~ry=L7!*8nFyyNUHj^}=7ve|0r
z6{QeM-sOby!x(wcT;2fUyhsr+Z*0BraEsbrK*MH;BvLoRtpb&*fBKp?W1DQ>Yj{iI
zfE8GV$qjrTFfNQq3KX$4NqE8i*I4zaG++uB1bK*9Dq)h{(6<MQ6uF2F<2r#|$X2=U
zoCV?*+(wTJ%FJ;E9we9b%)z_s`w-~2<k|n>y}dT|@a+(!_hC<+-Jfr$o(&kXjld{y
zxfFdlc$4!v=YeJ#B0f5mILQ3B;w@M9@j0Ze12ijHYN}hOGa00kPhdIt!<#zCX=@`W
zhMQ8wS})hA*T);?#0wr*?ngMNEZfX^7f!O;XOQunE(p2y?Gy`zs)Ofxlf5R16;ADY
zRSibs1<2B7{&{DN&C3bdCv-<<OYc^=N3$T?V4VFK#BQED8Uh5OJ(TZ@{bTv=9C9Rf
zggrW{^sCaNt_No`YHyykg;4IO%o63^=^Y5j+VAhpI|)WIyMAk!yK<r`$XCMIrgWpo
z8-sG%;R|O!Q>`sV^M+4?t+!D$jT`4>_hZpph2UyLa=w8@uU{5wRsgvN(ft=x??QOO
zReRSK&YKLR&*PhuV%DlMm68U@`NvHeVqnKxZ5WN6Uu>4^ksbvr-iV<z37=8p4cA;o
zV`T={Gcsk9HKasZBylNL+5edER&z>Bop5R_ZGe566~HnGxswN^4<-Uv%2n=o%!E*N
zUfC+6cc(Gog}*Q~1a}qcU3Y0~yP7~$;TzHFCkZK3<xz{qERHS4mJ}IZxUDWV29p|`
zaN+d-+}pX{Lq(hAG(;-lU|c(_x?#My8OH~24P>Z$imJUvIC*jJwDCRC7vzTQ{0*N|
zTx!4f)Rkr{9^B{fw}q+>jZ8U*PzWq9YQ%JC@Bh}jXuT|^U+8(gp0(ZJ*)7|QyV>ox
z2DcI`-HAz2Z(H}dsN7~w7C9k1fttqXg=xxZk^3IXDg}G4e+G_%cbVQ=*Yf#ABIIec
zw@{K!bbUYr_qpf`En6m%rE7ixYPfp&i14XK$lyX3=$w|MN$Fd^q;c$?1+n>>QJLT^
z5@%T!6^@oH4IszUDgaeCy^&Cjt*ENm+nXG`y!TLi^N1)Ad_e!)HM1sVpzU06Pj`W4
z5<91GR4Lbj6o!iAP}oCzJYkOvT>8V?!FQU>Vz>Gs&ni>Xrn3xHqs8Z-WpbO55Bb=z
zZ(guQq7oG;^D;7z1Sm`z!K%2Et;oa#VK%_@<0UDjby>21XX#SM(jaYd0~P&>I7ndl
zR1DM0=^jjL_Mi$di{aQb<+fJkowk+U=I1|w!-@9n*<Mn=cgD6&0C`=`5&;`nn>+qw
z8%ErFAV_<0U9oSDKv`4&(oPiN|1kQH%Sng+Fo<o0Izsq8s^1nHFOX%}>s?3h<B8=L
z6^Zwqjz*LpN8=_ap3)%j(V!t+OY%?^umKG$Kb(6y?>p5*Fik3Uxpc#c6yk~$S34|E
znBg2BsgjTHtb?F%1fiqxuEI1rpoUNOJc7q#E)~(}>6o2~SJA{Hh7nkPtb9+~i=e1B
zQMS{M-Cd^67l0*!2L_rQ&BHs;XGIWIyIY9`d5B(5!xABiPaDH#tX;xo6`De^pgdQr
z>a$5$4qHF<5X6`rN}1wLLyZ?Ii$|fj9RQQ`q6Cn!ZOQe{49!NiGEAdAZg*>F@>gqU
zf|5>1DU%qDF^IMzTMAC`I^U(v<?bA1zV{zrr#wZBciF@}3v_D-XB3^0e4H@yUv<^s
z+shmhBW|fz9Kp*Es_JPqky4oyFN*#>V23F{c(j3-yQtKqf3W7X6?3<!sH+O(5jsdv
zCAU|7%`#Jfu45?LH_x{Z;j+tyPEHPA>lVkaL=Xq7s7oUBiAAoRBx(Oa=8;`Qb0mZ}
z%rs!Ur-q3);z#0sh)I;`G-%84-SVC3%Fl%b@sqJ~)btP#ik5h{T4e&G2V*!L7Ufd|
z^AKVGD_<N2X6!>u+O1HG4g$Au=zu7?4Ns>AWP+A$L^w)}Tol|Resy~?^f?lYOq+rc
zwf24LdT~1P&rcjhn2q;5Jd?V6r#JMZ(iI5kX=CE%plgT_{}V9Q_mu_$Vn$q#dRxRL
zB5Ab746KC2VzESl7`dHKTU@{6?l1_Um~`!KQ)jLWLKGW0#j+s+=Gf8kG!pn)jyKzM
zexFBZUVh@;i8S<hi{!`>dbNgPs3m(praVT+6zEWSJ=#|-FNKwnoAogBY*n%Xn1l5>
zE8!6wBSJ~xwd)58TX`lM4bAk5ieq~3xE-ptn~iV&kZ>;p7i)+3Eq+UWW>g-Y_uch%
z{GL>H9KvMRmIx@efEKa}9CT4JDY_C1ELqt&w{JSWlm&8<okI(2C*r!WApPW<gk|o*
z3*e>joD~e1P5YP!Nhs@sacL7X{;bT3JegyTKqVP-eiNAXuru5Qn(a#B%KI1~<0q!`
z_pxPd*eFxFno}S7m0_zGt<fuYW05%j+Iw=>2{lxQ#8*(QK%YwbR9*wWv{u+JGnx>}
zTtr71VEySuPo6;Ec^e(9taK-Dv($)n7-D0L=7jU3XzozGhkc{8Jo7gAOQN?_kRH#q
z3trXR$qecA17RGeOsfV8&Sv&~P?<=}@$2(8U7O<xX21Ll2)q!{{)oO`!sk2zHk73V
z5Tahd4U24ISi%qqh;_5Z;o8+<!S@UlyoTWaG4@VDq6KZXZMk;Ywr$(CZQHhO?y_y$
zwr$(y-G7{WB08cwqR;DEuWPK4k@@AElC!Bg^V3+PQ_Zq#Kg7#&w<SbJq@|;B@z}Cc
zprBD-8`bu>onMUNb~{XGXrWZ%O3l5dLv>0=YQ=6G7jdY|%}ypb-l&W)+xq`Ht1q;O
zq(4FMrFY*CvQh+G+T#NXN80>L4FBB~ocEd#mvC7c7HuBqT?Q9USL~dA!K;OVxSSG%
zcrI>XbTpQIl!9CA9QL)72FPE-u5DJoH9k6}A33uUkRvoJik6+T3dviX9A+1To<Q}%
zly_&8>~}lsV&qu3LsKT*?GK?^H~mDvtl|^7W)6;uq-a2WI+k=5m-kIr&8K;j*PQ%h
z+^mEexD1PeJvqOeM9ilAZfytKigwuLr@i&f_NUANOsJTOJVmkN5p_+hbIr~yEW{j#
z$JuOrZw_=zy9vET=cTkGHM{j0dc4wpH(%H^%c#-l^a07!j1IvW(sCeFN6bGZ{&B|6
z4s{2umUF>c$kJoU_4ib9I~gbbAr+X3MMc^6_i_aF?CXpZC53d7F#;ECkd}DKs(OJH
zaF?#>&w+u;ylA2Igm_lkN_5q&Lj0}TcjLXX^Uah%2~Uyfq)fb$AaF7LdBvvuY<P%M
z+DN)v79n`Yjoo^DOJIaBq)mf3SBrlvDA-9coO7N|!rid{4t<Cr)K(p(QazX21zR3Z
z<mPkUi{^_yb7y7P1Mr%r3jVAoEzYZ797?yb;7hLa38vmm?;@I7=RG(2apXjlJW@=U
zfK#_v#2ot|LGkRac))c$2~H51dT})YI!8OK&*Vozw#+X-3S?ZI!}7x?{N-q&97ln$
z3lsChd8H3j1vlcJ&9a4;_hZTD8~*N-)6P9EV^SF@l5Z0(*rG0Kx;`_|=}}9Q-M?E@
zh`2y%g0wV)2rYoWUys}S3_}+U&9dEQx`^>n>L*!U!EhiUZIQN&8aGEL9Kw3S6Sh##
zEm#SLe3{o$H;c>j|FUAc`-Zb$CBgWEfnx@B2lF{jNkpr4iZZfb3IS9(kNvbSEJrAI
zYH_*UlCtgSy()<p>xUu)gp%+zO7D65<$M4oY;=lJMk!m2*970&s$$T|>s^B^L4?DW
zjt^*4!*ZE}QAtB^C0fj)J>}iJxlXHY3`U;L-g5`WJ2$EexQcUE2kp0_*4`%DA%Zx$
z&mzug9&wI#m1+Pk_l+%meZGm+dDZTy*jK2$R~|Y@C>&O%DZ6llN`mzg8x&+c%TzOR
z84Ei?qH`rxKKb;`Py$>{$?sf!Y1G*&W<7nP6j}d)^l~BQ^|S4iQm0riEA~D4@+q>D
z)qXs<Y}Z1aX|g5g4*dRb)40QwEm%KG`zLM+2T8hU&a@vYAB^G5?44s2sx`E31>V{R
zlst+d*E36chetuBE8DM8FWI~eJOCeR_Vb!UPjg4>8tvb)iNYIK;C@Gg6UR7oM2X03
z&dQd^ZxES=STRHt(9E=q-Nr2hJ}^`bu;`QJ#wO|69pirgfU(qqQ0IX}R<cCfEQ$^q
z0OW|UlP0K=hEm}5mw}n6RcwJ+bKT2?p=oD+F}x_$$9l}6KPx!gh@84<l6V7Jj#4U4
zXd*fvS#D1zg8TL+p-`kr`)$c7m~d+<L_P~`fqC-3&6jzV;s*qnanLSICJqn2;0wc(
zFZ+p3()9}r27at;6ISnCZx!YquU>}6!Pfn!C=KEU4o`pO<?_Gg$D3Ze04=UEV)Jbw
zH36iks^R4IwPclB(q|e{;PIa8Rv#$3@!P9JSQkSo$<N>JI*bM$HV?2iCace{?wQR(
zQhoE&*%(P`Y_NdRCw1!?+^xZ2#Sm{ZqolfJrori9ubhowdNHK)Y4sVTd#CM6yi)n9
zWAjhECjIT1ZA?}pJhik^q0%G4!(B?NR%yOxI{EI9V7}squNk^vqE#}^#Dn48RtpA3
zak{aM4YjGLe`#)K$)|O9A->JGX2iOBl5nCPBNnm-$j+3DDc;x0VX4S>+H&g!Ey8w;
z<N*EY5Wt8RUb97ZR-|FmHhv>O(so!m9U9V(r#<16Ea!hp*u~|zJG84{Kt?6C!O9*b
zdEUjVCYW`c!?2}W2mpB0Cb>pf&U<v{Hq${C&5A-U^NlN1u}<ldD8x9%XC4aC>e|lV
z44O)ICjW&@lfgCFl}#1zMBgnfz01&l8=1blvwIsA@(vnIhTRx(<%s!`ovXN<w_<0e
zd^Wy>T$q_?+ChB;JEP)_x{+Dm1xCn$T6+vCX2?Oj;y!bpT3NvjllZNGn`0-gzkA3I
za<esWz>IdaV?776UG7hV5YO(^UK)56EnL!0YZ>;ar!nisAit9WX*in_<oT%55`f{s
zkzXVC2xa)4E{;FgFbkv+4CnslFwD0^J^OGFFoIyF;ms?s3{E|&__C>P44FO#)3jI>
z@v;l)Tt~F(l5}q<)LiCNkt326YO1u=c9p~Uc0_?I^9rbSHb0Si;r~LawF(qn4~}@b
z<LupZ>{cr;df)au?aTb)2Xa><t$ZXtBS$i(tr>=1v@NLa2oi7jl6TE8C;P!YRX!?C
zQI0}zLj27TbyK@^92!T<!Eo*Q<gH*aK1Xvuzz;6OHr4$&rO!j+D1@Cv^quw~*k)D+
z-}pLmyG2AGeCYnv1n+3<h68^|a8o?P{USInhz^zwzb*6RypXAYygDPycUnZ6n=OVw
z0^{vJ<dJMsn8FVw*5|bP%{q|w=4*|DJfFjAYgVkZAUsjJj|HxiAO!s*C92IQu!$@#
zO&q{{u|8rnd%MY4S6hleU=QWu#k-)cUaX&0R`lmcOMI>CKCr&iS`#NggP7HA8(+k%
zpOEK#d?6pv+zmD-Y<PZj9L=bD)tN`(QI18ICUg~%Qxs%ff_2rTjs)Pnj=zp>F0%{#
z@c5HC1{;)IV<;#PuFaT{-0}Px$quUdY%OZ!e6>SP|NR2mplsD;gYYXuuY0V$$1Zhn
z7Kuyctk)@quvCMBp$~HnqW`?)l~TF;ArkE{-0*H3Y8IJiQA}BKGs%S$1Nv}dfeHQC
zbyYfl2ftb)*=^p&j5-T*ze<2IP>CWKT{H$EW7pVM{rJ?Oe>psw==tUJ7|El12y-bR
zv5!A`zLhb0#reoqr4m(ra~ZXTa){;7)>|yyZ@qzH_g}2zlo$1<2aZaAr>m}tjn;<I
zS|X)V7e{hRu&AHOu17HO$a47IaHpq_=b5jtF-rDez#=yWu2z&ey_qBxQG&jNv=Dl~
zEE2^#S(uLidS*yQmd5bG=FnRt*HLH?il;^AQW;1eF^|!Qvk^-Pqp`yZMOD{q4JUq%
z(bRZK^GD;qSg5}=jo+77ns!V%jwx_)PE-U!`eRKQB4YOqO%Yubp;%IZB?nt~*?wVT
z9pWR%Bsp%@i+$%--olf!sbj03)v5VA-xl09_<FY^@wiV}q4V2+cIv=`M}~IZ`owKs
z6jvj42dY&AsNsnVVs-oJh%xuAOOqyPJ}0n{AvvHw9|-S5Fi9n<ZWEq0p<z%L5P@V6
z)n-h4pF1CxgD&r@0V$I(<LI8A7okVT>58A^#ZOynb{RDydQgpv-HmbHpj~PhSWZiM
zQ-~Bv+Z9o%wyAv5bvjj00adxpFN#bl6dZggAny1DFUOp<|45-V`W1*<iJ}=HEjfJ3
z;*NjS!=*?TcizS5l>4k&0|7$6tA}M>s@AV%-O)Q5Ek_{5+J>B(nUD4{y$M)YorCZ-
zfEGr4YUtz&C&JE2*|?pyfj5N*246h~cW8kkLSg$?jJVUs3~h-#GRbz*xPdDnN7Y3F
z7Bf8#oG}wu?b2{TTr?-I_YE`6Jhy;Od&1+KKw&0=bLKLXYr&;p$)yyA)BmdvKr7Hk
zdISgZXhBUG5ai?O;JJCd(3?>Q;R-8ER-!)7>U4noWQqzy&m1m=PDiSh3PX|Uoo>u@
z*xbcA<T&{ktSfiD{nF)~mb?Gl7MvI|WBP#+jAKx+`9kx)$||c-V}T^Keh64eBqd+1
z8U4Yq_2Eme@(9$@2q8FlE*f63tmq=OS_R}5X>+2eN@KYZwl+Iv7sDK&K5#2e=uPe8
zU4$>ziio6Y9%MEpQ=!BtQv0{8Cb3PnA}+sZXNdj}H$;`}$k!VS<s*>ir1M?KNwf%0
z8#9T)sdiTMxg#K|3W_L?wN85pveCDavR{W<;Q?Ia*oUpMRT#tIyK6s+Bju?Yx!uy5
z+HuvM^;lG9TN5lv>yrcjbot!}V^4D+u6}H$ZSp<8e%()H6G>#SCpBue#!;c{^lUCq
z^r>d5ubfLyv#4{^`wt%4+_vD8#A#&D1w26lhRXU^bWEOHS^^`!z|n3~yH}brM&z%i
ziIhaw$XJq_L-t6P^l&HujnT6C*%Fcx2X<7Z_RNFo{K4wX<2=ex**m=G*kB`{oh2PZ
zg*-S9>G;Pfoi8k|clHrFC+E3~mp#u1LGH&o6JN72Wz_xr!j0QSMWsE!U3#dwbJlb1
zQ^~rDNO}}OUQ!}Q?EBR@0Tnhw;BjSr>@#Hbl3FiX;wW4k_5y8#mtNEI)yojGJlbNi
z{<{12u40ReSnjp=246N&T|iUAKoL^E^2TA9L0Ye?@au}2WGA71)*dwlw|2FMbS=`C
z?7@OoNT_12^F#snO8+?LHNyt02z?XbD*8@KnBH`!HIlZu3f+2>&N}h~#jnQ~`tzf*
z-|OFZ+?eJ^tK_4&##RPa`#vHRWXQwDewAMH0rrp^n^5w!gdxZR6YLs;MS4edI3Akf
za|bRs%&AqLg7DS_FD?2goy!oX{FG<oeA>(hybzaGhv=D6n3zy9r6EXr%|&qrEFdZr
z!`?YlHKQAeewPwjv|yFoJ(BShU(pSTMW#Wql0yUNk$Enwk3`!ft|WG?g<>_mJsVd4
z*ssP(EK;f;Rri#E+DxykPy}_L4w0?2L?<Tqj?emz%P=HP_1*SRHKos>MgG8&Ox~}x
zfZW)%$8edhZNH>q%=;iRI;Wd^$AUyk?jCIA=dZ9&dR>C-!5lqj@1JoG(SFR%Za%#N
zHT7gu)+!aNPjtmlWfH8?)D)>Ju><1t4<R@ef$nrJ*a%K%hAa410O|D}j_PlzOdi5a
z8-?w|h~T|cFzi0Z1c3Z;Qt}Kh0o!hlA+GZeBZUf?*?-&M(jua0BvV^JjfbT0B5mK|
z?zeM2RL_+JWnF&J1k4|RH8!rM_RLT(Nu-f$Q64xEvCpppMd3x<5DE3g#GCunu8y<c
z;b?+%%YXqVnFAxD4DWN!(YoQc08hMT4rr6r>{`26Uiik4<V&Z4T4Hi3*Je3seDN&v
z$$!-z@<jcMiW*PN)gEdt)Xl>1zp1c7I=@|c*Q*Q-YD8Gd87+{aN!oFUS*V=t5ps?5
zi6~}gC7!#t?I<CexjiVOp=e9xHoKvVqfVmQ1nH+x!3c6Ue7aJbqrX?Jw8{96f8pn(
zrd8!6dtg4WSLm)?{F{c0W8Vu|b-E^?&nIUx<=iAl{iA$<*Ml+Kq{bto*=~hm)@dTX
zY)1|5#UKi-20U(rVK|msapiLpZXfZNx2T1=&!}ZOv6U<@)x-sNc_Sa}D3H9agf-y8
zhDbdS3c!8Lt=XOBChI7<j13?q7m}wDOvLZdDuOfAsgC__-603i9G>alBmXUk3dRcd
zFP1q8M2W3Y4}nfKlURD8HKsIWWg^T-J5Ej5LBWaALClzCUAZFXA4oyyk}Q*6S*6CV
zV$stK41FD)%=|jVLpr_lkj1=X2f6+(xPtVA;5KaRSMNbKEoFX@V4Wb+!S5dKjRH8$
z=Z{I#TCxj`!w;W7EbkoNYz9zyegu?BQ2<7}{$|a~NE|o~GN$W{4N~pLh;tZOT_44t
zqd>5>te5(fb^csH>{IrHS$0Ps{h8V9ctOoC>(Zn~>>SqX?IFLCri&aPnn#b0wWo?<
zAnRdq!RH)i8OBz`To!!&tI_gDcmEd2ZgsR@mxAhz9%~MbCwk9dxQkA<IH3+fDK?#^
zC=Q(n8Bd-_{MEC8jdRmBWqE}JYT#}kC1MVSAx#%ctNO8bS}|_`1I-cDC~)V~R#l{6
zwsySi9l!$~hZYAQy9m9y_Ym5}k1KtcLPByw{kkuji%!RbSnYhFgNaOFjJ2IVi=>L<
zf;?8=zo7a>Hi3&0^SjWiYdeckh3t5qtMzAnrU7<9ZNap5gUl-OY<y&!6&A4BJ&RY9
zxgjh4`@%Od2(p&?)F5+JF)hk)WpL0wr|zBfqYYJpkB&OAFFT~4fTdnv(TPPUYy^d%
zi@Ss#V)LzP>?~!rl}hQ#J6abfXhQpkBd*aC<&nXjWF%;N&V`GV%@Zs;IFo|LULj`p
zYRb0MHklzb!lwI=zf)JP6P5E$LfY3IK5`^Kau=TZhwLWvGDm(88KU`lCE+<qKr8$V
zf-aR6xQPa7vJOWXNjA@P3bV<Tob;S_@YjPjHM5h|<*|^?6pl<p>b?q%q3h=qXOlO}
zo}v~i%Mcf2JZ%#FPDBWgRm<jAGX^~<Mb)FZx649%XcX@`5BceNvGOIBGFvmkta_uT
zKG^&^Aa`$O=vW%+_g)khe8bt1lol~0V3I{*uwgE($fpM&;j2n<f?8XN>a-Ur^S9W_
zz(j!x6vD)0$k@0%b_2Mniu~AnLr~#@&fyjDXHVBB_J}Lk)Xum%j)qh>pXqK`c2~OC
zt~O2$CTE|#Zl+`b`lz{$^Ns=)vw+f}5>5cB)bVI-h;`d6-x@ZjcB2$3WknTL5-mY5
zx%N6)tTg1+rHMBNRM1SYL2`ETD@O$n9?FbCN4Yc|%*mTN6I0up^91<mzC2fz(PV5M
zYajzYEez%<O6mB1D@XDa|MY3t$rP3CQ70TbUK&_Jy5&BuE2stJntr0+L}PG@@WyWP
z00pepgQVrZiD5J}{oFGLM;o)F2bglG;40+b8@fx2Uz15q!;7T-m%FySS^C*v*pcX+
z$MP>!il`t3^kqTM;!lwMM_;?+`IN1<w}By{JgR_6MTJj!M5UZAX2!zUrBiuPtZ;jV
z#gOT#yX1j}kth{+wcL`DcBqz-?JUgOtK&eU5?SxCqyPYq{wcvRxx0zMc)`Exbb4Yz
z4cr`>dRhP4Vo7<g>Z>Sam`~{NRz+SD{sbM3b`Vey#eJ(pq4FHdFU_Hn!8WLOK`_1e
zaWd&o87|OPH4sQD)z(4&kc;Q_5wJ_rjwq2{A4MRT3@t7WzH35C$l8{7q#mWqNxb-S
zUIKeF<=jEFJN*s7ppk0{M89fyV%D1+4?H3ysL^E02ZI+hn<DMpd`{4phM~exKAeNW
zlTXa-hQ<oZyUkVz<K20K0lpbnq<B{brt2Py@?0n=M;rC_5CBMiD;mDtElh}Fz%^m|
z7%|?odJW{`gp$g)L&y_u?4u21-%F9`T0O{(Y&|>CPd42uHNvu=Q*RDPC*SV1vPjQF
zh>`=W4LAx}4hR_GG$k;(BVi@|IUN)GtGuY(amhjxcMPTR=;m^?<I?UxCgS6n0Ibl{
z<C<_>geFPv-2dUo1POB}ifU0tPS6u>c*1NYI;((mp(K=wvDK80iJ`baLU>{JW1(4h
zm0`<4)d91}RHB4aSVQ#qh?=u8YFFGS`22kuQk&-5u~Q3e%}GU#wM>^svM$7eA4jyf
z_i|(8xJ<M<|Ho!Hp)ExL{LFJp1OBt<q0z+=%_X7lusA)hb%1H5GTe^Bbglj0oRcR`
zr=L&m7MR^2v#?C};-!?!Cfm(mUja*8SO|xf^LTWll-KPtz0g?S9G<W^i;ESDkc+oR
z6_xgZFh3hb<ud{J<=mch9r9$^w)ej{QJG`>EdIsv1sc2$HNiiso~s*F1Dnj=p|K7J
z%=7o6bUNFXFPO{JxUfSqPLbLblAO=CeHt^zQVdB2bi8?2#WtUt6BQnZDCmt0h{!z5
zP6!7U_tDN(TSW-QubR^{!}M4gE|*b%#ZN}w_C&y!Kn8BX_CqJ{?kk3rIqXSgY9Cca
zNKIMrTy~KB2(^0Td}Ho(+q^pND7Y1s@Z>CZGD&8?!GcLd$aF}sxjqOb63}d0g}tX_
z`CxjvWqYo-Fv^0QjSN!q<znFfG{&ran2-cVUlQhw>4i0^;^P``74ZaIV=mm4H*0?F
zq4M%0W3A@eV6tigKkui8&zSgci2JST>P4cF6c6>dE<)M%wnSI}SL{TdCltxLX)lpk
zw(lz5KFk-tPfcdO4G7#BL3uBPn@LZ($C0sR_mN)i&{=xKnW}{0rk86y^2TI@ri4!$
zu9q^d<@R{YLpYq$vDjrfZZKmYSSo7Wo!S>1d^Nkx?Ye>OiJ)d=IZi&MI-yg~mS#Ns
z@BwOK6(5ZtQzU+`@S*Rb7;YQQ)qdg4j55g3Cjt<S#hF3wAhL}z&z4w8x=^erD-bsw
zFxC%VjN%yeUvd^xe6+xl^s0|ox&5%}MG>m@t9#G2haU{(_y@ClCr?X2UYH6Z2{}G>
zwyR<2?E&w-?j9I5v0p9rdtT7hpj|B4?~W&dg7>gNgVdpa>N6wN5eQ31h*xREei6O;
z_9XkpD;reMu3wW<G*IKy*qv`r5T^igxy%f%l|27cu#;Sj)gEXK(l<o#em(raXV9-T
z7r@9g5bp9H)ebrZtB1xQHk_u|_dWemmv~*~p#wUd${cK9U-#+M&q*Ne)^RB!A5ATs
zWf3z6*o80%(4o&MLi2M7LO2N>KmYY)fDiEgJ=2`2I*N2=5O*vP#rb-~&NvD+(#Fd3
z1u#BZ-T9-fbs%Vm#2CY#_Zku;O50Y)EYF;9h-=#dwm|e&;SVcm@`-K=$$_moC2k@i
zQ0uR7sKRA~5mfQA#&QkvWpB(-skcZM<fG)8lP|~{7t=`7(!@Qpj<_PbplD;U+1$+z
zUB@j1Mwryy$#fPv|0)=RU(Yyf|KK(SM1E5=fji}9gZu=2Ia)Vg-TyQaL_GofYXB<?
zek^>RZJZaVoxfdI#Cpk_SF$^1ty!Y+XOK&t$cC!bDtpXXmIU%|JDj+)j|}8Hb}FB!
zD8_PpNi&~@dQ*R#OQo4^(}Tuo3cwUgFmARin1$9<PY!No!=V}Tq14>8vyCNsu_tUo
zs$x}2WCl5(`|6bgR)T<VQ|FV!N+m8}Wi;W^Oxo?g);9b5DUo59Q0{Q96t=XmDRL(*
z!k!V2Ky$c<+I$dnV91Nv?SqAhtL(+OXmKa{cMsFS6x=7S0t+1?4_$~@uab-;!m70)
ze}S2|nXGD*#<s!|R(bI^8Q^Ed8AL<L*%&7M3XLwpFZAyqyxmLX5$0%;REB7+w<KT)
zwn~EJf5TtSMeF1#-~N?U<h?J5dj4V&4OZ3=S~3&}a@&jrL--hEU)ajmI0Aac;U1i`
zS1U#kbQ7hsG6r@MkZ4Xwmz;FE&K<_Z0vR7+WAZ+0!VfA|IzfI%Y%3BS67P?swUI77
z*jL+5D!j#_Ca@>}3i!q~^pmKXs*!mAjd#7;L9@K<<MGXPuRv9Ic(zf|@j-`&Rms9f
zak8;AGhtFdNSO7g4|z?aMN;BM;y5NS8y&$_iU6#>dkjDsHg!9{jctjD6`&1UJS~J=
zxvA@#73a7$hTccTbd5d<FX%wc1;^eR+cL&c60y+yc@DN`$-2p~TZap5OT^15rh*}f
zt?N(vB#L`&0|6~tC45fSh_`zB8>bDsaN(-NAkeEDt%2q*<nUh81%E%W-|oP;+JM}z
zM7;IT)R9yOUNqGk+P|ToF@A9bvEQ4y2|ezKpZ(*NrLgsbPJf3%MLR_$k5k*oMJKm)
z(jn-MAKYk8?gWTdzf=PL(u{1=FPpkTk8=)w7@K@k4K`xn__Y1SC+HsQt49$kX=`X=
z8K4TZCIv9+lkLllN^H%A&JieFsd&|<(Lm)q_ya6gn`JkEnRKQ0WUm|f@87PHqUoue
z=2rAD;}s{HkUve?8%4`1XSql-(;#7N_m&_7S<(px@x1``71vJ4yo#AW-VC1dUHQnG
z?b3lBWws&H(O`mc`0CGt%XF6>j#%ivdRzZCy6HIVRyzcweWNVEMAQ{1ACL2Q;;*H&
zV7}{J-oexH?Bhm1La(6<z0Mo)Lm9C$sWc7S^#L<)?lLm^de=45(K}i^dOfC^I4aC(
zWr$wlZN5QGKZN;2WQp~UyLwyR9yU}rMJtC#2?+Xyza467O@5eQrVnT?${RKF?J%6V
z_O>f5a~GT(tkEmqp~?r|e%MNVV&K5T*fq||huxf7-lbRKRCX?d;3zp0SB+~l+S$~X
ze#gn%-%UrLdW$8bkD+hiVKgL*DyZr#7TXsbEPaW?fv?Z<m-!%oO;E^X<2)1fB1?2i
zIvOi#FQP!}85nR!+!qB!lp(K}gbxvLIOYgHJV(UYPlEftdQ>(Z7O~|pL(n-{PhHi+
zBD8X7O1TkS+6389f*Xm{-QgWQq2^uu^r$qN(8T0Dc#X8>?})5FxqGr4RXrjK%)6hx
zI8m<e13!#fIH601Nt5<9VhS6<q4<kCvjgqqGDtN$eVrL0!^2R&EH5YTDCRU++;js3
zu?QGDl#23hsv{r*^%%IVq=6HwT2qy15{|mU#2(ED{i`AYi={_uwDY-}=kQ<pFgk(P
zLf4wTPrfdJSW71I*W($Hzpz(<2;S&|KChpS5EFU-iajp{v3>s%C`@q1N3_f($qU&n
z%eYVxla<+urVS7~|EuhT*z~>)C3c1VX&jS=$`ib%l82B5+$Xzaqcz93Q0XKQ<rBqH
z2Ni}%tS!wVi^qE=pqR@DD6XO@Nc9n{n#n3Cbx!p92-{nD$Hj0&(<Y!HFF#iM5Nerf
zVJfii^#I0f?^ICl=xVVGTUE9QjK7Gsn=z#AeN;c;;YX}G+|Ea2SWVe_DT&Bzf~3C>
zz-Lod#4*ajZr-^#B8ota>$jHw(9;k+K7^hLKBRC^?jDb;4r=PQc_V#G9RT|N<hkuV
z0A>So8=LVlOti8jupbt!1@kSb@?z-C1JB9}lh9<3i-%h7t){NyM5RggyhYF~T;A_#
zH@OL~?f0h;W=yj_lfY}<u6*;X8O~*ZMoN=kxi&S9d5d3P9;z@X03`bq25((z=h1uv
z8LT=`72E2SUJQ;g@fiBB()$Ic;XLj2SG$pce;{8#%PY6wzZxgXK5W7SdvlJi#6EVr
zNrR-){eHn0J})P&4X}>FG6}##x^FG#P9L@h%Or#xJJFYj(nwg2!>VtH@)4cBJ-<$v
zIe_&o%3P~N1m|vHmaoBazqbsWd*C#Gep6>uA?N^o#GsPb)}MvzL?DkqGHyn`4H#_W
zL5Tl7RBSJ+;Qy-6vSK4>plIk|h2(31+bMbstN+cN7Lf$*7F1>!{T>8k%8Pw%^Z&Nh
z^Zy2t%;SKjZPDV*9@A3v3Uo8c)016m8i+OxajhrX4v7%6Yeb(W?Hi6)MDpvomA*tG
zG!klv@A1RCXQ;V|zf$OLfbGrmo+%#Fx19&hi{uU}lr`Acm=F0&^TWic3XWac2e38`
zNtLVOpSYUJk^PCqN9@<s=jlwG!p!J*5RvtCIaQ%SgJ6*(mDA$c6x*8%S<WY|FRBm`
zHMiJ^y;%9dK#8z0p?+QOJ@Hlux;MXSpoV3rFCII1&Q{FpuBE}c*Jl`lBQpKBf4r+9
zOu7cwQ@P{TL{a5w*&RXB)J3~iArUT4$Y}pd!D+e5S#faj?QyfGWPJbJle%ij_<bto
zcv0Jlle`67*DaKsw|yDpf`v94aPRG+?pykE$R~4Q)&4y+KQFk|f-Dvud;8Zw*qlKo
zdE1Q?;zL@51sjyjq>0RoFbD8Wn*P=z;&y~PUT)N(k6SpUB&T$@Rt`uc%A*DBpdj)>
zHu~OFch+cEmT6}w<tI7<<>79)?A{~=Q>Ix76b<n(JswU_S_b<v4-1i+V0f$WLWm;H
zx;y&`2zGV+s^#j$b9LGwh4f!fE?eO0-9mxhWGFf>`*-&2ZYZtiUi(OtgdYA~GJmiG
zi5^~=?~M1itvwu76(E8dkRull6qJ#`9=obzO%SjvgGNPG(@R}bzIe2Qgy5FXj04k$
zQ7B{m9v`w-NM+QyX>f0A)ErCB5BV?jjg9sRKL|zpE>%<Sm{vNTecRIf_rW}RFCE5e
zx(L4n{w2Efpiy0N#yMsOUWPOyYR1JE&LLPfW(*SSYzxgrX5`m^tv4Pw;ru|xpU@;M
zQ(`wO(cD4?)O2f{d_k0QN2@-Ij)pBw!4xFJq3sgAOShCL(uj_%Vx$rtvCU8JgF>5}
zxvXy*c+v6mMy33NTIRghBY_Xpvz5HTsbO;I;kv#!&fyOfK6{${A@nf!eE@)N@-W1n
zz5G%#XUwz{UU4QWq=#KATCAZp+yb~}O>KFbC5KM6l%BO@O?E(b*#bv{H1V7Ya>&ya
zeCRn%9&PVbc~d^*AUM#KwZ@AHo1E(6AZ-uMUU5tWIlQs+sY9^3%@96G<!f;JW1g4|
zNSj~pzx2?`V8rnlCFdzo)6m%<LO5EtV?X$<f?h16`RCZ%CHpRh%<`s>3JE<#?)I9r
zkLIO`W=oWsfzcZ=TB;kBZ6(+7?kvT+V1(oZdtLmrLmPdK+j1Lh+V-h5ZUPM<@N}^?
ziO&dibh9-H$yqhn6QaZq<RiujD#1PFsCPHu0i5#DpKSH&PX@)_Luu>TcnLaWy+^ZD
zN9ApX#lO+=R%Vt*nOoJ}6J#a>(kP!0>B@LDmF!s`=u0swPkRy^+@S>!ZsHg6a?>sQ
zC#f8(q#`6X;ZsseTfxmtQp_^<Z1k;HLZ^ko`4qX3f1XmJRj01T7Tvh7eoGc}FaR=R
z2Zei!t?0sc=!RR`?zgLeoByTPYfWRNno4m^=lyFe4xwH<_6rgTsh9(VslPCYzYsq@
z)ueNBlu~z0@FVZ0Z)2aWvgn1LJ5;VdT)KR^fTcEs1+YrA0FY2x0JFh>_J~rGJyJBZ
zHHg5}l_ILNR(%-yJS_0*5Mn;0nOpf|Q+i_r>rL#6r*FbHDCGZuO|Vp+ZGm#>IKgvG
z6lbz>K@q^zRNF#v(u?Z>>wK&~J&mdQ<8lR&jac*v@M=VsbT4aZe;GyNLR%F+#SIf<
zKF^a-4of4fW1#f=rZIZv&%}=d4Z}>UhkiS~{SqvDS_<qjW{$h{`o$4{4U+IGI{O7=
zF~dJ1TZvuTMwS2-A>hOubS`_~(+6GaGfM9i`Um7D{(E3M#gBZ&%wNYg95pMr6FDDM
z2e;g~(CjOFl|7H1Bcs~euwSQMn`scB{fdgSF6$l=mwnEBc5D>27r?_w<QIk_=rLEe
zB)H>Qryl-@fcRh_zi{%fZ@5B-Y4OxCSwtp`{Jw5|c0C1O2}M2kx*43gw+$F##ztPB
zn-Jjnlu}SruXeqr+7UI<sQqQRg9YYLw)5&{y|NYq$lNNOHRb5Nb+CzDmL>!CwxKc=
z&@^fm!-gnBx?p<)Bw#|eks2dLx4QVQe`T|Z7xBnk{60LPfRC*6o1L)nokQfY^TGz%
zhg4Sl#LKg0FdMW&NL#qb`N&9OVQ-!ygS+&37aO0lewrlif$~&APGNTEAQ=kPQlF<B
z2MqN4kCFM_mCw)N{GpbEvhilhU?C5#qXX;ZZm<jo4*}K#7~?gAdAAP+G*gtC&EcFV
z+I}aFgf<$vYDfw_t2=DWmb8Z(-DPvN*WA`&!z)~z^k0-oQfUy>V0Py7Y2-Y&I?aBV
zBLxcDNaKvauJxVO<u$nkj+fvHO{kS0$8ipE_Ot2`_flX90-74HkzXF%Uo;E*&ng4$
zvF3_W_tntAG2j&;H1J=YdUx8}Php2;p^u->>5OPAiaZdij6RD45aC!EH>W;j0JvzW
zZGS&f$X(nBvb@?kl;W^7V<6M3o5$1v#UUFQ1&mC0smhx-pgyz)ZZ4R8$G)&CAS_ol
zeucgP8%`EkO<d+EWi*f~qWeJavk*f!+k|?tXjD9j427oZb5wi<VH<C4Hl_k^MIx^p
za*=K1Q%<*)mjIHh{_}}xLFl6~&50z80G0Cu6bet$RSSmNVMJ0r?r2Zx25XChi7qA6
zZ%HgktDl|rxg{j+^yb`n97NE7KM^mY><6^Bj37cy&gsGL=E?&FP6y^u_?9Nkr@O(o
zdYQ=aSNy2~=Vpd`e@bEyKXCpc`N4X`W?iB=TAKWR#b8TNS;|tZ>&I%5P^4pVt*`+w
zZuxex_7%>Oys2uOH#}xvwH7ebP>K$rgs~*Q8VCicFZSwct4s0L|BQErr2^zUc9%w8
z$N!PTQ~IrWjVp~$NM^114ldey3}qMOHHGisv!bq7CNg7K!dH=`_feNgmx+~{_}Z;n
zuVul1Vkg>6an5bzdHeT;ZpFT}l%5$(N0Cimux<FpBA?9c(IKN#pmwto16UJS>}K+S
zDT52@4#1h&<0~Beo4nd!YlH8XJNO1+L-D9LEp4(V!Yn$f2@G8lJX;yh78V?gjJa-v
zD?b5;d^_bI0CrkBf_}m91_VSLSP0Y@)@`)<Lx8mhuFx#_JXl@L#MdgT>mFbXD8YFx
z_Z69aO5K@?O$sehV@@V@k@T<zZwdq@H14Xfal<M#vdkC0D}S|xAhQzxbgYm=_*_Sd
zZrTVG+zI6TdaVrG&`cok1LmSHX8GCN7UIb}jeD%Z%bC|yVqOs!ZEXN`+U_oY5H;Ig
zi?k%zPC9|{*cee`98@7Qu0p+-VVi3(c~%S~-2C!_0ruMAtT<+;vGxogS7)RgZilj^
zMp&1Og(kiYT)Z8MvsB?TCf~eAl0)h9(zHG4t|g^j`P)F_v2df)$LeO@g^QEC&iM5Z
zPDK<54lXYTZWAFWMr-q_f_JWRNL_QDnitJz-J&5X0YPMxA2O^^0~0GE1M?-j^A;-x
zh-)7X8F^jyT%SDz^Ee_oZigfRd#Zx}q>nj)@_kf=MkBL#Sg9ogr)8Yq&MhU;c3vgg
zUIxd4fLVv+qZJjpYnw*d2|(fT0*5JuvcEb$oG@e8X`8Lot4Z8tTXgfcn)<uz$ey`z
zDf>ImO3B)=n3LyEYyjD?(*@~}7Xo?Q9mmZW29tkPb(YsVDzo*?Ifi+sTaAvVeLId|
zumjEb^2gR@bGo9tP&32kj!>IN^`uO%sIf8=Q1cRA_jTN5%r;};fx|f5TUS(-03(%K
z7+00cm`62G{x5nEP$gTaHRG-Y5p9Nj1`3YqO+*@X87VyQE3?fK#!5i8hPTNo44>a%
z%36d&6=olX(yJ&Ps8shC{*x^JJEmHLSE}->9I<MS28{xD@lct3<NQPGeE*|`%e`Kh
za_n{@=Nzs0&#N%Mqv$Pzc8D~aR|Tu@c7h|#<za+=9rRS6{NWvCD(jgbaSZIdEl#cq
zC(wd>aP#*MMj%HMcAVDV_DY+)G@+uE&`eTwAU}jF0)zW+QUz1xYt%wFau6d&y$G}}
z3!KSLl-|`j`Dtz~U)t0;=)oQ-MESka5|HZnI>H;wcYEi?EAhK|p*jea<2$kp^s1@l
zuQ*PnYz(3P?~Y-6lFxt-dDe2jL=17QWS9il>1Z7r9*!EK5FL=r_eq#%q%cEhZgkxo
zqaG9p)B$fRJEN2q9kgK9D@Ul(9_@22Y`;luG6`m4;VBOFIo3&Va@Nukf3Q;PQ6PWJ
zGbQ-%AG9pfES1*PkYCh@#W95QVSUhPX|bOBFQDFkSuR+W!+$IFm_Osf0(*Yz99)Xd
zgyavEcts8NwFAun%yb8-Qz;|dLk3MOed1H%HF-Fl-pb`L5}e6~yrLwlL`3^*a>8Ws
z_APZtL?uHiOE0e?s)F=cmS8=(6!ihA6nd5Svl+4c){On3kYvV<w|`#=)`62@lmp=V
zuncp~ZfZmSdW_ZM1D1Qkl#9!=WWq1hYHY+YwoH3Nv||#LI$)VjH<<Ikxhd$C^7tA6
zb5VX$<k>tNwIOb6TVYCfMQHGsjV#9e>+z_Wk1{5gtj5ywehBd}y`l2q)s#N(1u;q{
z7b<!B6YBM2uuEPo_XBlUW}eK>AJ&&jAAr^=_v+DtQdFn(@V3_CM?})WkrS!R=Bg38
zEvSn3i4h#ewW0^3zWX^Hh)Pm0?%D<YgYmqo;AblhBlz+Lt{UtCynTQPsloU7N`drY
zc6dt!?QIPpa#V}5k3u@uBrBYGA{I;b$8t2qp<6rF!X}3&1GJ$N;0_K0mS%0Ce<vI9
zQ%dG9p$bsP%Er^O45_#*2H(v}QnszXiMhYas|%?nVXy@M@3kWxZ~=S1KJ@rrV2qQG
z2lrsq=GfLsW!vne#zlT?T^v1u6Zj^)`5#3z5eGF#U#s^cCH^5FX+Faqj3MhO5_u;J
zw<N)1CCZ1SvqQLJDDr&WOE!bnB0!iwhzvlMxqGh6e3ahKP#@Vv53(rk*_9=3)M>KI
zSc<+y`yaOJm)kONdV00*s@}G$kVURFR@!+fUs<owXXM-))zq`XB(=&U5=1Z-)u(r=
z!l46nRrFP5M(LxG&Aj5>08b>8*;|O2%&S{oXOfN<TE%yMEdF;oCr;i~Q}9j+3#fC)
z`1A)(nZo4L@Mn-3Fpm7E5OzU(7>N$Dmyca}053SdKQgsC_yDYsrOCd>GXc!hHH?D%
z&9Bon$UXAs__HhneI{-PC5`rJFMO|poH7AN0~c7EUEzI=U8(OIDp10i(Q2H3WQYUd
zNTI9n1qE0@l8!a!OVFe1T)x?)-Jl&++TWw9nY2y7l;`;LUY6#}BvU;;C<%J%O_w<+
zp{kXj&_L}Z*xHh2f8{UW5@OCF>pwJ`1-V*Z7W_bMSH0ae9j}_HJgmlfX0RP?wU9FH
zzI`5x*K6MHOJvSFArGsr?)bx#u_U)Ilh>kBRRb0lf>jH?8$88ixt3qm27mxyEzrXX
zeFd`uu#`ew^s4G0++W;lSyctquhFzIK>BoeKkOjOsrwweI|2xJ%2^*5)3Xv!Oa3+2
z!@EhbG`XbDBr<k~$vu{7D#N7q<2D3-We8IR$U#=Qm|r8uXO;ZB&;ZR@gY2Q{r*^UR
zrjvu90>vEt80^EvYR56|eB1CrGfj~)q;|MQ%4nJDlDD3-ktAOX&(QVm^kN1+VIq9h
zVt#c#x|yfyHgPd$D;U04LCMF`*VecQ(U@zeOt?M)Q|lFW8LVO_RI_6`kLZ`Ci>9iz
z?|P3=&<qM9%g4516ZD$VTgb-;SRlbuY?YAK4jeAO)bbH#8iVAO1(yj4FqtFI2%Y+y
zmLn!&`=%>|VxZH%q4%&{YuZM5>3;}6cz4ekX*g<bai96}XzcU!94mz0ax*|^u`Fh)
zD(Ig_@2;Ci^MM4a6uoLs7bPTT2?MwBfg>@q1A{W}RJ4s5tJ{}Xq`jPv`yxbXp6h&`
zHAjdB?|^>ACw=?sk#VS4p@!wXe{#(bk9!05AjD&EC2mrK+|ki`5v;8sfWrGg(!b#5
z^j6}Cprr=Z@05D&i4hM|;4HU`-gfH1M`Wy7mM}&E4`R8$-jPy3=vt*t>HaOmP~GOu
zmM9?uiV71)ca)WUq(*HtkM#VzeAR`h#y}N>W!B_;643=CKI3ST@0D$3Pns!H9Q@=O
zi;?O&guqTjK3{k#_*FEL6yf9V=2D9Zw88IflL!l-K;=d_n*=!;{D$=DAY#b|JgN0R
zg|RdLw=i~mHfDzZ({GIbzlW^bsL0qI&?9%9s=33ZYyc0tiUXktHarqItl6kkEb9_5
zY>UU|!53Zk>c!~=rrE&d-9Ns0jNndfx28=Ct6a}W4~Wg^PPcbE7ym8VZ7toqp|zTv
zoM--qGon<AX*?x+S!g~UdAj1&F}p0e!K3!rP7aeY5nWj&w%NHHQL2OM^keEJJ$85%
z8ymk-#QW&@YahRR@uM%HH^Zc5+$wT{`pvxEZktI)ipz1@63?cxfopJxEe%d#%^A75
zDzgmZxdwXyM4+LP_D%1&dpw^5j%vp{)6G$n>4Qa`X8mDFHtX}c&&&(5cv{1#v)$GB
zsb%46>BNx@3&w~Jr%I*zxBJ@s`*#f&Ce!!)e!}CE9fNdRJ-())dg{H2MyAzfN2cz`
zdpK339#UHAn=NfFa@)6vG<D+i4N|2EGL^AOeT3XT$_6kgzhqzwbztBi91<0LQe8cZ
zT&<2>oitrqk@*0K2idc1*afZ9N;!T?Oyv01hRytRA83*tQ)=8uU&4iakH7$in<xud
ztO*!A7NV1PaK@I#S&~3UjuBz>O+V}79_Vl?PAU4)?~SOmtvY}#3moBq8iac-N!p*p
zAzzLiPJ7lr8~iV4>?1ytIf^q3WEeGK1=Su$wF~xXj9ILZTl`>@{f;omZ=g3ytXz)b
z=y(KCz<AiE8f1sfSz2NZ1F-C$K{s(86n27V=zfUvXyzwjArN~~1P4O<f~+q=A?0|w
zr)ZA*e1h>ZSYN>}XdlFd^BYBng@{Mxfm2b5Tr8B2t+KzfF_GT3%2!T>h`CtB-nPgl
zA_8%kU0l8=k3|og+~o(Xav8fP5>c}r3lB~?&S#HBX1sEo4;~Bkvq`evIZs=s5_H}<
zP5&NjoJy4bd-dqC&_0_)>z$)`^Oy{oTdMrQUEFw?-LBX3S$t?SAm!=vG9k6PjyBKJ
zdXqnhq{epgL72ONq}m?mH8J`N8=VuiN9So<Vfa5$!}8y$VdY@`f2T(IKh(f?|6gkG
zhyx%A)*%wut+i4to7Kdn*$^e<|AhT~K4T$Osq(<f<m^s$-9tIOUb=A2tF*QvJ&&zt
z^0=k-G$mcV-XL#pAM1EnSaWe}X{}pw^YGQL_E5FD>c6g&?lwK&?Tux&aO+ZXHTaTZ
zd@8gC1oB?}Z2x2@%P2wduIpVK%C{oHK6vq9<D8E=o$$Y)7$-lCzMTHcHcodx%Hq=B
zR@GS5k9K12mNZyY*vhx9{HX}L&Zk98RB_?Z-aXS`z2S}T`sRjfS#JuX)udg2n#Rcq
z`$=Nv6<$p1Y4F+ht^2H9*qVQF<iw#drpK*Tt!e;Qo1gyevZBuXVLyy{{PAdzUg*5*
zn5bzuU94&PuKBK;PkcntLLH`Tuz9|gcFb+yi{4stc*lk-K1>0IK41Y9W#`Y!2<M3h
z;E%kcAO)`j$b%ST2Uvn{2S@fF7*=%0ckvhQ(1y2U1Q1UP1*piMQw`{E2cj49l-7BJ
z9x$vka!!x{!ht|9HzU?Jcb<=;&l=Gd4c?CiqK6yAD8fPtb-KWg58H>fH0Fj*lK{A2
z&FXx<_cVLF@0j%aH|__m236!R7N1y1m4=&3^pb)Kc0V<0HM9c+14A2OSmBf%=Xj19
zQj`I@4|;++bQ)@SYZI&f(Gx7S%Qo69zRM<tbN-1M{Mln`h*ru=3TrvB7T<j2k`++f
zg@O2ya?h}(`u8>EVCxX{pm{Vx&V_h6*TGNi3`>cQguzSu4c%Q3o4~(xNs8QDygW^L
zF7+fQs8g~Wb~a$P))i=V>$0E63gK&k@vT_pPHHw#j}zASocOJHaW8G9pDr7`HyYaa
zugD!05?k-tWC0z-uk}^_<^nmL&+Q8Y4V5O6I=qXO-RIR(cDx9mX7J(3@TL^PH@L%f
z(9r(`0_%SVfsKjd{~d(?t`C)9<5Qu7y8o&V*zecNdm{Js7XVDYxLmWV{;hxau;i4t
zZKjF6kFKV(I-K<WO1wBZLEqdw)NtZSb8%xSWqM}u@caXza>eu?2$Xuw(|7vgl`R{&
zR!j{&WEPL}O*w%+Yu}ykJms+6dr8;r>u@q$`+GfXgFB8rnWilxww6;g?<OBgi_LP<
z+>SFg`R12ZTz!KS>AKE!=VjKbO)h>2gDvr>f5tCLFlmWib#Sf>^zT0&nbQX=wp|1=
z8qPDbxnaIbmEPc`^*%P9WIp?E?2_02KEJzfVU_7~tJ7-OxVGd!|8#MnvwqL)r9Aw2
zFiUsT<EyBsWiC1>{q<e+O~*g>9$#qC1}mxl&6F}9c4bpUk~((s4x!WpD~F~@Wq{l=
z)ao-XE2nP_scT{{2pkr`go;8s{wEQOz;R+BBHB5j{4h;zxB3oI&~a~N<?r<;v}<l{
zeGD-p3J+-Na#&Dq;;I0%V5q%t*S$UlgVoc9MlGmpMe)@n=^+MQbTi+sKK9o`=)(iN
zpD_wMt38NQfnathK)4rTBz+0(Go%^dRVMvY0n^w+?lEjlP@SLwf~epNNOxH)oKcU%
z_QN?G<U7JFHiZ6Oe7)ksq|zw|$OCcxhy9n7KwGSj;v%c50HlFC97Q=$S#cgAdqGYj
z7@m0&Aoiqib_8|>0pENA%5gN$k*v45_#<U-J_6rZUWjvNw{rILArH!Zr^2Gy7)T%6
zrKwX<5neXRmv)7S*%(D$w#bHpJTaYr^0;{{iu@;!hyPz5wg2Q{^}osEKVEtDSP1zi
z51$;yfAWCHEtUS@Hu*2|;PUi&u5jAj1fS<=`HwtSn@&D(@j8kABagAsUYKazi9Nde
z$1?f<&I~&n{eNLb*~8uhpH9xuQpwo{l1>(%fu8<9i!MheXMA>cw*Om!gU`gy!18~f
z`rnsi(^^(eo2;ncH+lhao9hVozSqWFMr1CDHoDE(q~&Cb3dSR<lv1(cWEOtkIZ%C!
z$KvJImS&3)67XGZZFE~+0QLQvr0R9C7(tn41be7|mm)#Q{yxFFO(z4TFiG#zu}?Mu
zWIIV~6+lUgwIWr4pv{3!SCQ}rdfffdZ4m$JGE@|f2{lzTP`(S5Frvmxl@Q}*$bABo
z<|ivu;p+D)DJoC^G!za$BT^a(AUI1_iYHeu;f}z?Rth+QL>HL?@>C%{2No4U<bw>S
z8;}i0gi*w&WF`zRG|)_hM4+7DADUC3upb%H^f-Vvq``?o^o}lB?;jP2B4^+hKafTR
zT>ZmIWY7yw#DqDd@CO~@w$Q&BTN*vYkQ9AQyw6rpagd%0n1#A=V~!j=NwOX(#B8OX
zSb@@1C<D1ryq#PCyIB;NnPDE}Bp3(}W8R-?3|=<SO1L%&tT0)S=py?M5?3(;B$!L2
zsah&WwYe+w>YdsWx(U!Y^h~VrN*;uJ<OBnn!Ce{m<AS`LK5h%}=~!0)p9FiHfjRmK
zPs{==OdGzT;jO_{83Sb>sDcr)2fJl30z`;7q9}t1TQ6{C;w_<vRA2G@oEIatd0=pV
z!94Qd(?q=Y6J$n`U7<ia0oa@!w<acSWL+q-?nZVve+hqxC#nKDNzABV!a@>5y(F<9
zlD9=Zd4zp*lX9}Cxv*Hh&AwN<rey$qiU$t_q#kn<3)kz-^&R*XJ3nAQEV|$K2^)Jk
zWH<zxj!1NATGIGtHlE)XX*EMi5D?Zpq|!X%dhiORRzD)vJf;~Hb^Ek=|7u@S=A7l7
z$efKRRL_o`DL9I@NnI>kfl5uH=Q?ckZmx{!<6zW&nJFin2ZQydC$CA!pq$=DSlD%4
zHA2Hu{ot$FV(ND1=v$AZLj2eZj-&Dkz{=OKH!EkAmMgR`+zSR@MQ@We!Tx+M8jFmx
z<}JU!g_hhV*x%8)I~-qmw#Lc#GFwGYNgcV%q<ee2mk=B%(J0+{LeD6RP^V~<WP8Nz
z8)r`7%EROu2~^3|_nHZvv`z{)tsC0i!(}hMoBS=Kp0KIcP)ds(oF2B!+@(k2Lib6$
z`_V66+`5dNL{*}6;1r-4{tSl>K^1|EYU+iO$CieTz^l6l9jMf=arY1K-EKEJnLanM
zYj@V;u&?8OqmR!~jZIzV--9n>)*91CC0daX<UNlk1AH*fH^9^ed*El_qpr*{%_vAI
zG>fJJX#@NMVFE|Y{3{<ig_O`TNi1STH#flIdlmkQW&t(j6@?zExM1tTYWX%#Or}4y
z!E<At;t+xr69lFO?VW99FDMfcDq!b-mSr*`3l=QZAhzYyzef4^C5^xYq;ii@+*g*<
za9?5ot7sAn1QbCG{kw7aL+)!7MW37gzxLibsFEjN^TyrX8h3YhhejHQ#$6kigS$I4
z(zv@z<L+*aJ2dX@@SdLE%)N8(%*MMLyZ>y&#^;o0ovI^GR#raW%B;Tkq7J%VI3(n}
z>zpl-9qt<*0L=?0s9-Kb@~*_gv_k<Wq(I@q1P8l6uLEOOCEU}24&)$0g{ez`nD|15
ziqT;*zX7!&jfjsBbPFyF%@QV{qd$ugXCNVrOVJN9W&t29KY77WLnRk}68C|_TEZmR
zYHaJMctCc|R)Y?Vd^!cEls3xefA=@KyLd>Mo4ab0Stl!n(*yyaX~)v$E#Oem!B-R+
zEL(_vaJc9-1q7(A5{lx%1P-eTliFjj*$Z`ZAGcMDhrOwEL2N<WoY$T=mc=F4Ow=(`
zxpIIepq3SR5t~f8*pU_b7#Gy$l96qf<?uDjlI!eoptXGUXG*d7fI_a$lL*ti;LI=F
zN--q+YSU0wlZ#+odjq%9xa5v`#(UZx;L6~tC((w)SDmA_75O%2*09Or8l$|?KiM$V
zLFS62^_3TNIF<YR0bNu^E%Vv?O~*96+Ij1me9Nk%+upgSp~bgtZj;A=-0I^)b(RJK
zVzv|iX<6jgi&kIv)|GWx=w|F%BL?**j?Etpl6li@H6U;BtG1xGb0iQ#mBlW6gd92=
zP{R{;JvCr?k^?Z6Us)@};g~m*O5nP2aT2upL5|_rz|=!ZI3ceYPH4#AUZ0%qaxKko
z$nEBkKxF{TEBE0l2et0KuHvb1F39OL#8x&Q46Y>tC#4A?$mR!#Db!PXbO*Y=Jcu@>
z44f2Mu4eJL@cm5loSfdH#>f<w=)vBF&K)_wz%sF>k#ALIwE8%OeOK;bQGW}2(9y1x
z1`&$D_3^5H5t9bnzfB@xN37>PcrGrLlqGf~_TdSW{n3LZDhv<C+H5>jt~7ASOaarC
z<X!4K^T5MLQV$wS1O6&5g+>ueo2oXvq~9O8ZzRpFZ#6%(hc_!y=G^Ze-Fa<!Mu($%
zf9q}^cP%!jn!R;xMK6Ku3myF}uodb>y7=qpncrJgMipLUGs5GMTf98z2kTiA=!fiA
zh)6aMwiOQOt#S(nomSLOy~22nsFnT|C0zJ3#~=p#oQWcV)!064Ux)F>%{ad-&B8U|
zmfC-R>C&&Lp4ZUSkK{A*em<i!bkt>TrNz;Ga%8$tI}Khwy8KM?^Bp_2qdq8q04;e{
z_@vd5^8)pgatye#Q?Iv>V{-m7-R0*4qIjf(CNQ72y|0KUI*tY}8S@YYV}NL%XwkG5
z{72m;&{=SXUE#sQH{tiHaV+ExLoMmfOffrE`ZY3ol!Ag?lX>V`2K#BupAgM)x47Nv
zHG3L)P!9R*RxR$9I(cvDv&|8%6Lx)cmWxS)m<@EFci~#q%(XvK((Jtrqx3U6yHc||
zjfW!Lp8}uf0IEd%Yo4DgV#HK2lb2X}^F@;dT%83&Y(n0s?jOtYxQ9B!wRpG8MM&;z
zcg243sRcVris-k%INXSKwFNmg0y-!3-756$n{Bli%7*#9?Tl*+i!Ydnoj^Dxm>k1p
zmvL*cq_1-*sw9UZ1ZjIjh2tX+9Yk`dJc3x^hZD9EU07Aok20IWk<#05uVA&vQ6S$k
zq=~+y8lj%9qBD7XrkVhCbgo`hXAzFO1=k13R6_NNRv<`{PX76eNLqPUL<*PUtmzU7
zhi8tbD9&H*d3zaFsc_0NteiL#(Ez~_^)=Kdv>i@S=K6<Xr`&f!4v=LmKFwQU6?vbO
zg2Z4*X^lE(n1l*Ena>Q;wv}_*KOQSvu&nvweSVHRwKy_hjD)bnb%cv5?a{MMD`rj0
zQBIMO?&W3fE3!+*$=`4|opu&tU}LRyQXEk(_SQR1IJsCl#&VemArtk}WisTZ2&0;)
zMVQEUgvWqX=hr($Q3?<kr3j86+so?QJhFoC3}7H9;j)^x4oZ8q3M}XAwz*c$&eJ@^
zO(kq%DGqEzcAn!LPh^b|(#Fr#e%>km-D^zYaXWAEd<PbPJZwa{oWH9wDs7px%r4al
zRXOKTWIc%lak)N9AiCUBfSH!1TDL+PC@w-6@9cyA`C%d`skp_~rL;Bjg_k4A?bFqH
z+HGqovP)8OU6(pBg<w1wS$UFN>YNsAWBa&>29~dsA~}G!nCarPKAv`SpGX}}`(@K|
zhH}ZkZSp-*|MS<G^vW1mwECTBg|^*}Uv0ltTqg3Hdl^;C;XcvyI!`JulVmn&`L9hb
zo}@~{w(Noi=}doj92O;%i4c5a$8e>_zU3hB4)~GwbPV&r!k{+#ab33eE3fHx+O9C1
zM*jP`yQxvqv#4T+soZ%X6R51>ug)(zbNdg22?S7NU_sDzU`Dej_^ZZ_=`vL=s$vA*
zx`)ccesHUfbrCt^qAtCKD`-Y|5}UMni%Ib<XDaI?-?ahgnC}K+O@NwG`WdPGmLP_v
zs%$jPg=BHf235HM`zyg{X>aFtf?20H)6)RjuDLM1)*_=HE0J!@k*qQSlk;QJ{y8cl
za*JzXgLAO6Te9YvUl!s?R0A-iai#Agh$V`CjTVbCz(b2c@_B0{Z(>(jI$J{1-l(H_
zjj(;^nd6|epFOLMk@ZMkS*n@NSv|iunUq9<IQ)spIb#@J6gBZiqm8i&NV=B5TiyF%
zaX6f<;3c#8%V%{t3B}&~3s?TrV_xP2Tbws1|4{mYR2RR{+S|cfv1fH*Z{)~jgCV8L
zX<>bs|GZ7kA)jg~dR^awNfYi&cu-_cyHGnoHCA!z5{G~pkhy6n6q*vdx^2S0l9{Do
zMOjm5d2*wF6u9u|y%nK14?4DfJ45(J=n<6YDy{24Metw(Su5s^MN%qpk~P^)`{d5!
z@}^v4>O!o#IJQu;GDW=rn*tyGU6SdIp#y4G$8ujyiiM#q;_PN-In{UDmysq($azh*
zG&}3{dFPPiJFjMOBB};&_>xp{aJ7z3`3$hw_3#A#j_&N4df)u9Ep$WmO5;12eS`gq
z&3zL`bd~a|@gC8&Z}({DH5{5h_H)1QCemXAp_uCRlP?!h%zMeI%v)!N)s&^6c&`Qb
zke-`rb`(`236bGYNb&O1Q(X3CqJuznx<jD7%+3|CD@>b7z}uB0w+KW>v9EE~ySJ!x
zuAM8-LGf!tR<`lJTVhD|RlN|?<S`A=4e~3p;PwGb`w`&l4Q}>K;}4WEcpniddzs!}
zqt_zASEoVxa*X)z@xJX9=?xqo03K`W8pYol$nN4Eqw+yqcE>jk>Sd)uA`xb<!3Vh7
z8(9-4X-(PYuL-_8*))!i`mfa<g4#&LF6kg1w}(gNZyGdy3-qqPA{v&AVOGP5UZNj!
z!`%H-0l=pRY1*0n-^^>qi%lseDwE$&0;%lu$SL0NC|vX?Zc#hA9E>T>@F*(JX=z$z
z&kb1!Ffi-Ov6rKp#$;PpsogJc0#mA~?T9L7l%5h`3zW653iPvKQ3}V()@ap)e7qlb
zwm`}VI<@j68*Jj<6=5Rey1T4(bC%Xw8?~zC*#wCcLvARd*D9}Xx96xlrKWObW}bJ9
zvCmnwX$2W=Xw;Co6sA7IK1mY3^MW7Tu8y?Ov7U#N-b><j7+*VECmigYCKW2AI@&G$
zI=a1}>u$h+IQm$V>6$r>J&^y5WB{tF7_uiK`#Vl!H}SqgW|?Y+a6(T(30gs#)X6j4
zRx}eIP0L+{G$PtM{QIeNL1*&thF%^%_g<0kbCIy47V#$PuouHLsp2~}9Ns?mzus5#
zaB}_AeYKpat+}%W@&AQ&QE~sTF6#f)Mg517@qel=iY~6?>%Y?s&%e<OJM;fW{Vl@3
z)ZdEBaNllLXA^BRtP%?E9$ei-38c0WRj>Z2TIt9Pj?L&;&J}nl%q$dg)3tX?Y214<
zNxxcN8C9P<z3kU}`MI_dzh0bfGxuvZkjyUa8c=oG|D0uVDz%ORd2je|asN=ke<wO|
zfAGw`FcAg*&_Ng*bF<Fw#Nn!9>@&i&itMt=&vG@);}+arI(rX67-HZv)3cvgC$_Ho
zCV{XT*dQ#eKEDUReY&{*jRcNmClor9#W|6Sm=H9vx%Qj+K3i{FjM?{yZgp`2x~)rT
z-|Xi>72nq{J%Ad$`cXn1v4b~vw>q2m%pSVExB7ay=UQPkQ|;y4)uf-B97LSJTblX;
z>IMIAWgq((RZB#aWsa(yLDgTRPKe`k`&dK3+?Fs6SlKl-TSYaw2@HF-iNk~YWM2aM
zMDh%j3#Y^24|8)v^>p1FS}7r|cxY%pPM;%P39AfnLkE?waccT`f##nPIKZD9nqV7=
zz&>i}q2=^+F+hQ);3AxI2S<=u!LmKTL2?&k@JZ-3TxD&+kE$ISwO0$~a!WxOG<g`(
zyVrBe40OpeuJiza%nDu!RxQ#;0w3&x2ne?p81mfxaj^C2_m%{}juh+z%o{T+HcNSG
zB%Ta3AGxa<1F)K-FWWwdP$P=aDRx@wk8U)D!cCGD5BjGH7wG>vl5UCfJVPQX`FG}+
zkH;h9sfM_0(fu}`mdaJ|O-ajF;8tXy=K88^>nz<e13wxaL(Roov}PgEGLz<*&q9ZH
zdl>09HASt++clBMXnSMw_$@2yF^!6>Ykwr@J5_xS|BtY16Qj{YCE!8<{}0T)5sT48
zmhV)F%2{%f?yNj}BN*R{zpG>^i@3{D?9u4zT#SEQzcGE<pae)&SL?Z-dp;094=o5e
zU-r*OcXSTvuJ+J=Tp>T*Hi71+kUqk<Ih8p58`1oi3fzBOX#S6gX0=SUyhGHeHJ&(J
z^p9vZJz*LDSu{-lDVh~0&!f+Lz<y9$|MJX7IQy8a>9pnl=9xF`Eg+o=uA8J65fT!(
z&wU^IY)ZB8KyJJV^vn&2TtCb{#z$4E&0aox6C9fj`ai29OG!PMCAXlx=omF`HJwfU
zSJ6OC_IP0cMN{!dG$lc2A{xZx<;RXVQotCIHJR?6vmy7IVtFTvKyt$y4K8=WXXIZG
zDC5~LqxUX1ljlP4PUx$j7e6tC0Zor;EmP#G?3*|1Kcb0lquV{pub11=j4P_EJZ<@#
zXfFP%Xe$4QqEY=zG)jLLjWKYl#9XRu(GPh$JuOyU)yA!x2-cW^k>u<4R+1S?r#YBg
z`<)*OXnMc_q?bVSP$ohDIOYWCgMz!0%~(Lkyq4-mnDJvb_uVdL6q}HOVTSLHV#dx-
zD1LuJaTs%w?m#{nNKG{CTiDy~2{2}lI2y<4z;WU79P4TOVNoSraJ|{DzjL^<NJ7tv
zp_#xs!eL(FuhodN`3r}EjyY%|^4cHAe42?u*BD9@6>5{@?pHT#sX0tW+~lxdmPHgu
zhKzUy47ZYkkH{a({1De^ClD%0>C<DxBkrwI0s4iq(=6;kY4B8ZvLF}lEl@Jq_@AEE
z4wnuj>9X-Fy=~b|B?1WrJf!|u<~OVSM?lLwWOIKctlFIw=z7Q<-k4wsDpFp%vjQ!1
zB|$~AqZ<=-K}E?Ie%##~6Xk5G#3%kAYX>73f{HW`?y|vCDzx5NvjcaNmnpGb&VckS
z%nm`1y~2xi&oD&>!M}@U@Q-L-x7Y;VjJpq8VBSFs#EO0XooHD8^-9CT{J(akS>;7(
zKhdZO1v%>B5F%G*L;x=^0q3~|m%qHMis}Ci8)ho@6Zz>Ow%$7ZTfA7*ynPEFA3=y)
zwvXVXSC?-L+l@qo{#CP(qHYGq=FiZb^Qv{X16=~eP2*EzUtIwoOrc`$2OPznPIn8U
z!R=cf3Zba=)t1=Bir7R^uTO&+0fIa4H1B*Tu0w8Io`T4B#fBL&zXcJCo4()7)Jdm4
zf}=O=WpjTDeS1_ZVNxE2s2J*8zF_XFP1Og4JtZxVG2hPxM**N3MJ;EL*N?6xy4D%P
z{U>5ChE&!BqL^NcS}<<(Ew2D+8{yjrM(@VQyX;ZbJMYM5mU~xT-0c!ID0P~Z;zat&
zJ?t+JXN(a~Qs5iPSsTbo7SHPAWvdTYfF)Olm6+;UP1zQ-u?aJ^{@M>~dA^P7SI3D;
zl`5Or*o8<dHToolT2_c(Si-P5q}|CN^dQjPFNh$>#FtozAa|-`+WdYTeu$t*enn6v
z74y9yIZ(-<(0<3LEc2v&IU(D4g#5BeJ8&I^at^f>aY_y$l8Epm6*~;XW-J+n8<GK`
zkdWFeU%>qcT|v7mLAmW6V<1JbLnT6gezp1mg53Q=pF8wB%YB+26fs~T4eA%X%L03j
z<fYb}AD&?*2V%+MaD`=H3!e8J`=|RmRcjZ4z4NX!XO^G^IF|y_9x#B6yu)V}qL#d7
zaxXEKY%lQS*=xOFVlA}b{CMYIb>C3Y53HhD_CnN16`4cPcp_r^^J0uJ<pKdcJkz?L
z@4+w@B8-2{q#2*ikLQwu&)Z;*>f6gbWf_m!xid8%aSXxtd#S^%A>1WFc_QA(oy)V(
z$y2gaBq4;2^s5m^suQSunjOU%J;0@C#?4Yv7EE6>cI|tR>J<+8Rt;l53HSPWp`W;T
z#|x28)ytQ|tn_hZe#_>modEE4h^1NU{N&4~-f>RRUZ;uCn74Ms;&*)|L2ET5EVnC6
zZtmGp{M1F=h5%mz>%yL%BrmEhilNTDu?wpO|7&nh1oPivv5nv79HX2ZtYeONZMmVc
zpSh+0GA@rHWv9N?^&cH0?+>Q;UDb6T9TV>lj4zvu%O4_UAHb)NiJb3!nU_Cu$KR1j
zUWC|}KcYwK+4sIlw(dEXUrl{No;h1SoSgfvhv89qSlErv5_NT-^XVS?G*8F_w)%px
z)5j*_1N4jck=(x%HS52Mnv3IqP1OG_4u<xx=&_%)^H$YyskY?OdE^Ao7mI9Smvv|U
z7W_VJK2tt;=RWPW=B-u_u0@1Ap7mm$=l^siycyx#t#3@KELz_V@3{Zg(n!{($hBNl
zIs^^9!M=B;vkZGDFuWAodWFIry56<AS%1yG5HR(R^5Y}0{D^dWCg>#Nnr@<bJ9aO&
z&iOb0UzgObtU<s(iX>IPq~=Nd{0o<w?{?pPHzUfQKo~vsM+U`n!5qK~Pt<*bCDOMz
za+~*kPT=#O;xWiQuZ7h%`dmb(@5yPaD_L#l7XDDXJsuOZp7x(I-w)PD>YkeLs#71P
zCRxL+McPMy)`>OIee1Fow28CtG?P)P0AE%8I2%x{6_T4?5_v)slnwn;e2g@OfMsL>
zO&|SYbc9xB?;s6}4J|{iLtrh}%q?xS6s2O(AM6N=C~$l15wXj`qIn&z^klxM-|W;F
zz={-I_#3r9;kw(8E&{P1KEf$XjMra`Kq<<bk;<6i^1G;!A{wg1WuVLPBAuqWPi8Og
z2ego3#45oSgcS<hxu_o$qZ&djIsGMiiGMm|e~Cy@m<S>(cvV1_NFPOH>NVaD#XKog
z;}rtSEfkLhYKeSMj(%Jf*i`|Igq#8nEXz^1Q(?{`)VuO5n;8naIjq25K(iqMI@Gz?
zj2501W@cfI`pi1+7Oq|es2e64B?Pe2QUIi>hPY#zZ6^rY)<M#}dnjlsM^WzeDw=~T
z%YN!BK*;jwtsv<kQ4b(=H2oqYwV}v+?=!pdB9j=(emR4E7B<yB<?M69rn~k$eyN>}
zdo^z^>2vo(X~W!X+uKa^f(_k0`^VDDIDN;|_~^^H#RZ#j`;^?Vw;AgNTcT(7kKPyh
zy$$oyOTo{D4_d9wowy1R86eE{2EBSihQN{}7mWkLE=bUf2G>1rY1_|0+Sl!{>~|G|
zJ7ox8(4+Bch<}w23p2+*M_+z%v@>xrHgzPXwl^_THPvKbVPt1!WaXrRV-j(3wy<-g
zreRXGbha@CPE}lttW1rafpcPxriRYIZE}XdU5MQ*ft4N>z?cF@M^iHzrq8DCZg!3)
zPSn8n_*+6tJ6mx>XH#Noab8wtR(57i7H(EHHXc^iufP=Yb|(MhjjE1@_V%VG#7vTg
zHcqB+OkY$bG#MpbY;24SZEgRYw5o-r6EX1h*U8fptD8DH0S`ya#>m3X!okDJ$-&0J
z%E<YTPX*ioc)oI$uBOC)&V+{8+TPIF!pYQ-*!Ax_ax$_rGSk2b3jX=#?2N47csRNL
zDZBaakrO<u{|KDmVFkue{JmVx$;Qq0KN~nvsH5$)+MM7sRXx2c^X)3g4Na|B;oE8d
zRln<L9skvj<rQe@0EQ^)-hoJg>*`Hgl$>F#?a%ilEEMd1=g5e+kn)f=`%?j4Sp6gP
z(r;SBuUZ5YmrQBFGxQ^MS{UQ300d3$F@ILseB8h;85jXCfV2|;Cg4?!5W1c?$W9aL
zx6)Rh7y>eV2sD9UUnquTKo4#dL5MpD@)NxrnwLR6bLf-Sd0#;{O5i?q%nmX=vbhpg
z!KFNV<Qq=w0m~&$=q1Q_(PjAF5xp6Lr)fR8EGqznaSkDTnf}fj;5ReJY;=h-u8eXH
z4qiG-0AWrK#v*nId1@vD=hUN#`#GLFbI%Y#rN$<iiUel(S}RM6nJ>_c$PCGgXfTZR
zEvW8s1R4N$WgH;fbLx*=u}k)z0vT@$e)uXUB)Uk9bO(aVZ?;~-BZ_zAfWtr7j3y|I
zAEZ@*4Z<Aj2cF6RQbr9WxP^*M9Leexv}`0afC_eqLdJRt69{hejQSp_B-xP$T2WpU
zyqthRbuISDG=e*c)oWv!`ogRYqe{~qx!G$|13|40^I^&iD<~RDzfh5{s)c0*b{O}P
z1`WbGOs44$2wJ|zz@oe)`z3{SJOt9nXvU0>)b|B{8`XtHj8!NA)iB8cVtRRcQU6g1
zE*8|P5E&+D8gw~ac;c1&7nxt)Q}{kTRMLY8f)~OT%a~It;w|khE?8hImMi)bu>p?X
z_#;exPuU?y@UpNL2k1B!`439J<$&?USOg*`a%lrj3?w2$P6O_sWsnP$AKi9jUgP!1
zAJ2=Sid=2bEHBP^qx*fu?rj#gQm?F!mq%fXVA^Kc3W`j&inbpok2}0DLKeqNd3x&C
zxk~d<{^w8i){lDXE>7+Hm?dwaiU(_6-QQl0)T`251dNHpi#n9LQXEUwjRp<eugZNt
zUOpjsKTX{|5ox65+63fAv3~ze7BUMewoD>+`i7vJ?fvw2&&J9=fXufwM06QQ<l!0s
z?#lY{cKUjs{WO2aQN#9O9FWbP^BQ#JNAx;<vrBZ1-kzQPH1IStfxLCF-_)ILK%IvG
z*<;_+YtgObJgfv5p26(Gz6(_xDhqxx?5GA%Y{5>1ocmB}+@1P1a8B})Y)38lrmCA~
zG`!%S%)e~v;}ZTXASAo(JGZkCbi?y6lKzMe(9b4|;PWA?@ycZWwCRB1?5lFarReJ(
z(|_?Omxol-AN2$0eUA9#eejBDD!#~!KG1i;kaet;fn{v`+JxTsTTDL(w5Fy26wcDQ
z-G<>nfC9K?=<;V{DH&w1A?#;*ybp!&#;I9Ll?SfaA>;QgZP1R7D+z`U_rCJ|-SM1<
z*g~6rp|_9sad;(<MJo;Lb{+RkT0M`v?O<pus#k6{*7jgt$YTS!4&{MNw<=ZL$hv#m
zuS%G8I=1gWy?a5P$#(_!%Fq-WvHhgLqmN9;mT-yi>J=6g4;<<6N%u`sz;$3|f@z=d
z!~;f@TsgDazc!4?lhk0EoW+FnsmH+qBGJw1!Z6Wm%ak$caJV9Kqbn2(3-+lea~O)z
zx~RK<;V8fyL+h2gRuXoobnf9RxnqB;519`s3@%0Y9bd?5r-C<>%|A&#l}2`^0Jaja
z$5JuwVUE2CZI~DqhaFwgK?H_TRDz*TvV;rXnmVmUQLVmFODmjfbpgS-l}H_7YjK$a
zvP+(;t9q0fUbjX9N^g+R((MHacM!*D6U%MU>9(fctSfx^dzT&_#!cEm4YpIKuaBz~
z6pWG$3?+jN5=EGdIe{WE`T)#ujEtDL2DT4`v#{Z))0VbzAghM?2Yd#s7J)JMOkCdn
z9vl7F+N=Fn)EJEL;od41tcv0wF|!eYCBpV#<KH6ufj(Ty7;ito1AZG1@GIw8{ua1=
zbZJBz$P13mW2Q?%KT}Od`ut@r1Edm;U>Dx^d!yULMKg7QNX(wf_k(swvKowT%OUK3
zE=HJjkapG*bmb*zFfKsWc0Z^o3jRSf{oV2&87!peyku)Pm9VOp8jR{C{g8T|W71dK
z+sTu-V}-MBMVk4<EPM|5JTYuWF`A<1)_x(V#cFB*Q_tht&&ralH%I6m&2KRdp1#`@
zw2RpZ)gFjq4gr3%W!D>RTVrfm$pDCoq`E|ClEO*{DPL^GI?Gcy)Osj!285+=$HXQ`
zUV}yoF0Np|=9u46`>cm<ZTu^@o$2tZh$D*dCWyW)Zq$(tD)CErRW-JtbEK0tqcyfK
z7JtUEbVbJ|CacvW*uyjl>BkGar5N-nLqcINR-m3w{D~(_B^5FrmJx)0TgJt%erBIY
zc|~&6Qr2@xgRC<tAIov9E6UBNO7r=bTfU=$HCMEsF#%PSRZCSvWIQo7ET}|fn|Cyo
zv@B;LSoLARM<p_9edughf(4y#S=nqBvn9U_>p|NamLe><Y%abdn4~sfk)cZNf|;4w
zScI^d7*FP5@M`T#qnb)@xK&$fri9I0?ei)hoyQ?6k5OI>9pgnVgKTZ|meL4h^>5@E
z>Rn4n_nm^&^7|j2Lhc=^1~w6SY)~Z}?(dTdX^ID+oD9#Nl5TmthiyAfTKtY}(T<M8
z-5w0x6W0nWR=H<*Xe^H8Kj~`Mh%XWF!$(~w6%SxtC`rj(Q7gC0pyq10&~h+P(Tbph
zq}^!8<ju{rLR2T$kH6mxpz78r?FfD6`NC1YJMck@1t-Fz{B5SB4*BU-rfeexvJPUT
zH)Z6O$4^V4AR30@vVDX4B6-oew4Lo8LPTNUrB69l5lgs=JPK~9ZzjZNz!vZ|B;LBb
z3t~8Z(3P~(Z=0?~XH+(T*ORKu_Wr<o2m`e(Ay(L7xvG0BEH9F9CK55<B*I=eh*;9N
z@ng2?Jec-{WO(K0mPLL{5d!`Y5{64b{NmEyS|?+%rzW;5nQR#9)6Z|sN#scD<5}H;
zy0luWy0UrKmMc?R#v`&($srIg`7us<RpM%HOM|KP#02YV9xvvH1wsAxXZYAlhu6+}
zq6SvfR0$!J$m~o<<V@~4?jyzcs5j%;wqhM*@!uBB6u#4E*vy3&(YuZa{&vqh8LQhE
zh9tnl^f2Cspj5ii=<wJ_L9DkayMn+lYDpfjvd>D778YHoHmI2a9Y&#)?DsC=@_GS*
z1~x{G5i~-Tgh5w6M4v`3sDT4!WL9js(kgU~Vwv0?w&efYj&LR1LTw@1ZH4pBM`l?w
zlt6m>r-8ABB1F&~$VI)wqUfN7XJNf$c6pNEynX91k@W^F!CWt|J!-g>BAl8#7X$a`
z`h9Hcv@2YVSPwy9bB=$Z4g+yF1b$&9SWsFcEGnsQ`<{P;J7G^?mAW{8Sj=(Ah5b8f
zvd1vX@g@LVvH^rj&+{7bxMHGid&y9G#GmhzqK@A(15fq12zKxcgsGx4oD^@hYacZQ
zobJm#r1S=VJN&twC^EF47Zh>{+LTng6-H`0iE^f}v1XTlhdTVl*I|lg6gvEPDRQ(-
z;=UR(I498}_0>sRE9ybK*Ge!h(-U2+&%&)6(sC#MZF3c8b#dGT^+%a)vFhB8&(wBU
zK8^-d1!~$=t{YrxRjMQ%`J(=P)9g;noNfsZ^yu<d4}=-ZHS4yqMggkYMsTuzQ>r81
zDs_!>QY2W~;lreppT6H*e~mDs_*l7ppZF2yJ72QRX~qdnE%TCbEtu0!_vE0mc%|78
z>~~jwMVh~Xbk2IoE~8UCkRInTrBg*w>pk@~Q@H69gD)(mtW_6*DkiocIfR1y-I4@&
zNvVt^9)4}orf0LGMmb^XPW#-;id3e&t}U=DRyl;d5R)b$%{haBL}SLvIy9*Y>+Ic_
zjqaI6+{-Y{SCv{FE-`()fzc(1iEMk}Km?Ear>!(`_e;Eauu@Sf@wPy4M@IxIPU!yT
zLTR%tRU2Z6YLt-5pun@{<n(8)?-S}(?zJbiW8u#*&bxOGww!>h4q?A%8AoUoU}N1s
zKb$5yo?MF+Mb?^7VLKii=$^mSX18voCAd1GQ0bK|xju(j4yFdR1uj7TM8oXX`Tkyw
zoXLv9OF6^*rG$$8_xfan42IWAvb?X~Ko6kMXLoF2Uv;N@?<6`n_3$L&ozLeshIXc~
z@M@n0r~1jw9!X-EPbkf({cv->wVy*^8^$HzAxlJ1=1T08S1f$FjN2fn1VY_*yZgL*
zdJOfMX>Kb|92o8Jr5StBfmB@D!CS`Yk?*TfG}<HA9(aaTo|W*I<t-=`(eiy_3c|$Z
z7tgk@XLcx8W~u!f=Iu*-I1U7HgP{S&F{M`I8>38Eso)%uGCMnL<LZ{KG45)mlbkz2
zwPWM*VIQLgjKqAPQ-F>Q_kA<?Q<O3e*kQ!n02HG!IyG&pde7m;rypwpdYCTeH#le}
zK{<L2PMx6H3CJ1w@TJK+N{p4tiE*!T{s(T1jH(AhWa*ZoG=%nQ3iFA6AD0VO{v-5!
zStrAeJC{ZNnTNc*h+aRqDY{Eq_wjeXtILX<_MP-91e>FVzfYB6VYy?}AF@K_Rb)DJ
zeQ%_fkHbrJ?$&y_^kXUBjwFYeTq$#x+%4#q=6XS(bNoGy+%EFIIOG;!?LnUcsYkRT
z2%gPBsc~zr*gbaD>SS9ZV1DkZif!~U$pdkAU&TXNdf?>X2JNb<pG-g(+;SWF(_;x+
z&A=HavAwV5aQ7g!#r5SRfDq{b>`cca1=AN}%)I8_%9#o$(F-(A@8-otTT~MwPN&H}
z=!XHF84E>6FktM3QR*_Wp|`~*O*GY?_kn?u>;3@X{m|&~3qn)+J4*eU2EDGIN<G+p
zJJSx68Y7oA2~@bq`dncWlfmV=Wd^sRs`?woJlqiTC3$~QcGH9;e~F8s6&IS(jMM|B
zW{%kD(;>`oZ6?o38^j=kI3U4J>L@JedpIKF>>Z0!3<qTMteJ~w%Frv+(<Wyq{FZlh
z*1PKZI$|D|{v!VXlKZos0K(7Hk>HgxyiO7H7;E&G?^bh4-tH?dKgoKRY1Ec0wsri_
zJN7gE3C~l=i?%+#DJ1r8C{fkIUp8%T6Rt$x_+5)0n<Q6uN=u)6$D#ZRHXJcI8Muz5
zZDA}Ev!f0lL1XZR(W-`~f#^sN|1c<(bjQ@WOr_7(B)gy(R71b|o=kd`nc8aV`vRe0
zBGGtMrGWyubEGr8r>r`w<3#zJcMHt<=RUGJ$d2f(!Y?j0!5dM2PoY}QhNCG4U3O`L
zAd#O+T#24RolmKDL|8?{AUtC_r8V(@YJ}Y&m~o4~9&+sV`_5!uUP9Fm^8U_rWnm}S
zwe>~Hg6YZWD0u3Tjy~iKY1J8PC3qwxCiPdw!YVy+OtL$7A&8ulAAl>k7<E{wp6LOZ
zVTpd^OsvJBu(|y%(x;v;j1Zxwj6+_zpG|7Na~O)7TtPt3F=+B7y2^)fUFHWDUFl*s
zkK^<seq&@gNI7Wl(C@pl1JCs)MMF@PE!$?S#_X>*%21YSy+m|IIMT6b{Q@u*$1X{!
zIUq@8FKnl2d2ANva-+CIY^BeZmv@wnc&LD8ZHNUNfJqSoaF3NzlN3fUgU^cJDy=)u
zY6+MYO*{NbGyqOvMum(i!*OaxNKD%0P0xcpy@zlKgN|M7VdyQckXfoqpS_)8Q!r>o
z#>ocUs&?-uhotkj{I*czX=71nb6&olWH_Y=$&a}BR}IcaEw?rH>^aCf?x#J9AJ+-5
z7Z>kI6LiD_K>KUU<$j|CG$9;<-9~U>R$T;Rj5QXk@TOW2j!MtIX}rpCuIVKdkyi?p
zaEN)6EW59^GVzP|%dD@F#Ai{Zk*7652QfCixhU!5ufgW|sf?c3rOzPB$-sTcUgME!
zSU$kWZ0nbTO?qpWq$d!(cP5zWWCf}HrU|e2ToK%jSwkUnl@5{;-j@|u7=D<QR!F5k
z`!SuwvF}H^UsIeGDY}u~%tb+Y`K+n7BYC(Bue<sEdqnI?t&q%C><X%bavm3g&eTBQ
zNO1=3Rl`X=a%a|}DQi)%_rW70d9{1T056|*V|+ropLOTz)(QTWSIN(~@(xlI@U|{U
zjz|&P<LX7D)dtNU2vYm;Wt=Z?p|&?>{ZRVlkT9MQ=%2|{-ImOMgApATOcLsURv8(L
z8xE$#d@MA~$SL(ybGliOksLSLOtsEMn}tz<PY)akD}`8%-SD?)rvs&|?+LRnedkR3
z@wD4vGe?Zu2`YL{VS_K5$|JTLPk^qQd7VBw?i4<V95BRCB@pH^*)u`ZYKTjNStHQa
zmWj_DWWvy4-B|Y9yS$v=9@(^?r>29xqXW11Ej7OF<>Zsu(>*Fam=x_1N4Sg_QdOu^
z0YM-4hnEBIhmEPjMq}5f*iwI8>I=);&%DOc`zZU1oE5zofJmu++rv}y0>|!7@w!D3
zM5K|F-H8L;6fWU)lAfw>9BS~o)Y<XU*kR%=N9Chz=Bj)N_N`6m1Q>2~WgHt-me_mE
z>$X?-)14IJ1W@gkmiSBe2WQ^k3tPqXT(0xss~`oHlgJtmSsZuJl7zWrSwZKE{3ky7
zC5&Ve&(cfktMPex3{!R86432Ja4g4upEFuwS~RZQPY5O<r#W4|be~v*4yHR)k-_Z>
zn*T;yXV1C`ZRK-tVnAK?x3=9(8ySY=V;2~fb$=TZlItSC`jYpF*TB4eN88e^Zf-$A
z_HI^F0kBZ_*&Wv)OzSND0I?Iter035)XH?NI7)SUY7vt@y0*N9NRH$DqWhAA18sX^
z@$5eQ!oIGp?Y)ki>Zj#Kht%|sqBZwI1@iRcGYCjYFy9u)*W*G}$rC4|#eIXvZy{t<
zT*uz{OYIpt`48Wy@!j#QtKgg?CbAW>9TTRrx!QwwJ<B(dc&yY$Qa;-&703h}_^Vh_
z4tT8AD3pvVZ%>r991qLz^Y|vXMK5dfu;|1jbZ4Xnf!E=ae5*86Af0t6q~1}?n+Ek)
zQaj+&LZ5AsbO3eEKmYyq6)D3=l|p&SM>wcWh-&d9*#ZKKk$a@#1P$8Dt@UeF^xm+H
z&Hc;D2A!T!ZOL?uYLHU`_1S}mFW%l{Qx&CY22O9Vl9c0&x)-z*FAFCR&CK)27)LdB
zlF#mr6U92y?!oVkhhl1$M76+^*XgTLWD;cp2-PV-b=6kEPAtCdrsk+j^t7Uq$gQI}
zM=}P?avI&Zt|r`Kx;RtB1;I4re%zO?7I4FvEkO<{t_C4B_oA{kK0C&ybqQQsTt}6c
zdNnnQ`_LxA<dFdzeQnfZEu&e@4dYtXY_Jg-&c-g<*>6>BZ<x!JP)@ndbTjq~MFv}C
z8~&?m7Y1~P)|JA>%zAe1cV!*uTFweoUzo40rWhcgt;c~)k{kd2l+}q^X#P8|&Ms;v
z_W7VqGP?3XSHsBYJ{*#f!9zE%6jb-|b;fAH^dmr!RsMXReI$p|FTSAOmPogjl^oA{
zf@mu5>nYx}Po;oV`?j(W;s&AtIroc7H>ouK78_a+;#Y@g(Zyv!lI`Cpj6w7>xatUZ
z4k3EF*Jbv_4^5fZ`B|*W01o2jqm97<r%Y6`tAlgHb@fNdSf5gO8zW>iu+J62xj*^#
z{XD!%jH>bnu&FD0q;**ev~7ko8DH;Bq|_d6=yIA))E8=6P8xdw-9^FnTnUR74;@s`
zxb+H*FuCyWJ7C;3(SpMJ?fxngoersqb=0x~J|qlHi;>8$dao*7eSEJ`Oq<-OUfEl3
zVbI*Jh>w)10+nrcHL2VL-hoLyoWkdwJ!y+J{j6BbT2gH<k{|Tr{!GhLD=IuVbHN%j
z_QDl8b!K%hP}O3AB;}f_=tx4lm|E<o`PFYK(AvvG0`u(J&x4*pDGDJgy|L%`a`=N{
z&b<)mb@_U!VP;}-Vwt^gl(=)jtjVK2I8drrDAiw}%ig!}5g4VimF(VTxK=(0>j-l>
z1lvgt4^B&qmLr%!MnXMiew1vJN<7!#)y0sD*<1$S+H=En?q$ju2eW<6v&_0}TN5k2
zdSgjn|D}KUAow=2?TLw7Am656XtY1-_v1GR8-CCaFAz2op|K@=pEAqqV!?6o5O*_2
zknw_@A8+yu=t1@T?u)VJ?XPtWnX53S?OJA><ZQv-<ISN_Z@zl8t{vuP0Ol+*Hal3>
zU3%7CbXKSMNzMBcJ7an532msTY08IcU&3Gf5cebv$TMvb^Hgwf6HF^lk`i|p5ow{n
z1WoQqnvhQyt*?-*3FzVdlh|q;q0|+2$B(ngIgm$~u%O!?s)`RLdr>vH!QiC~G-w;p
zf_nJu6!hdGwXj6tL*Ed^gc|IFT<1l{%u+j;9@sHcZqc=6#ON$dC>n)Q4y2M>sGskM
zx4H$tB9YQrm_SBX<S5-oXc?pTY59}VeX)Uzs1&ZnJgl+x-H~=Fcd^lmWjLud75G{9
z`?ZCqn6r&MvQjt{8%nIo@_{K23h!;T4!Wzw9l=2{_gu)iE4BIKYGCsGh$weHyY@-6
zvcGuK+F_Y9nEvVklZi<D$vqrXvwkV&%@-CrMCsq!QUBbm!C(H0rn0FS9FvT#i79|s
zn;H0cDhH=79FvNrhw0zu;g~dtwONSSh*^MZmF?`D|Ey&Lx-`mvb~3a3v-rp3`m-ob
ztj#aR3^bcKB$!z_Sh%^^SUAO5m|4YHIeD1H#Kc%QL^%bC|NoN!kMwtQhn1Cs>wnhV
zp;+QMG}Qndy7GMgSf;9H`oU3u@shUu;Jx`EaEVQlgOV3r0J}t>#I3mmMX!TmW0Z@+
z!$~M@T+At1ixPm<yN$tl<*ks0>_+Ky(dOQD(Z=?{h0u37zr-x)0M6xLZG%IJY`D~F
zV2{BZ;vm;+BG<!C-~Y;t;Pi~k#_Z%=ipJc0Xx;UYod58u*ELE%K1eV=pgP{?>|50}
zZA9P0N<ReG9{6b~1ky0|+OR87O*2|TGq6!J^bUZJUxR^P3!7dGNmq;6R)g<ZgZ*L;
za<PNLxJB?Y)Npd@xr1O3^|W7!pwA(rTPCB|Cu2|~qen}p*Hov6LuUx_cEolUX=4j>
zGSqNn>gC(ofPhZFH-EPnf3F(<AUgkmJb#~4d-vxkGlD!$AR_sVdGvX>`J8zVJolJ-
zp@tI|>z^^CGs2sueH9Uu5R}Z6P=O#g2x1xVVufsP$G%wBh1G>cgi%J;g)PK}#12N%
zhDY|*_{s{&Ln}egJS#yfX#fXkhkDJ;u$m8KTGC@$T2eShSz6oBKS%rv+<f6Y;XIr?
z&>i<vgubibw-5-lM$~^`iV6u_G6gc#()At#PYwrUh4s%EjvS9^g;fux@9E*?<e0*W
z%!+K3^e?O!{!D2}t;paQN9p0JTJ%)JZ$dcOI3?I07W=2Y64Hw$ya+?^nVxZ>fPD+;
zHf9AEOPqWIhN0wJ=8xo!<iS?`nS-s0CIs1hsnb`*nrM*62ZA*bAdf!*kcXalp7=Up
z`%MW)&v&DmG=wswXlH+9+IgCM`gYcNT6NKR+GN3NGW|B~HjOiFAx#(veHtl{yY%h!
z2_P-$P0j8@tMANSH%xC;6`K{C{FZ6WX=!Q2is%~X$|~YOR1zf;CD<(HB<Ca(Rp&(h
zkSP3zdY^h9d_<xuMaj(vbsWJ*kuEx2j;S!p`h})nz@#UE_p%#K=YD>*%&$B3?_;H@
zA-DkedS-klX6&09sB&f+gw2mUeFNYx35R8bT4c;(w)2g?N149Qv7%eHeb;#2&f*iN
z0U4(;-A_Y4*BxpkV;3Bs+b$n5;Q!FN7W$+X`=ti<r4|y}9_7La8flwbVT)X0mws}a
zpK*(naT}FzOB%=L`picx#Q}229&^$DQ?Wg`xjlN5J-(Yg_Jci9>`Wve1RD^p0RVS0
zhu;@G>|^#~UF|SAIbgZCX(rS0-LXLPFr50d%$iR6z^TW_YN0N}X+ij=y;lwWBB7S>
z2h4cPc$YYexXSFx?2d=!26x~$;l02_976v$UXdD-HN-Tue3#3#h=GGVaGb0~@pn+Q
zP?vMG*xikB1Yhd9nuY5)fza2H{s#-!sMMr%q^k^Lq<=w28cBlBL<HYQq~a?hVIpDT
zU@Bqq$wUi?gbB;vsoZPBYLN4RnK#w?-C6kOJvpzbBWvZ^rl*>TLWFcrn`SiTKl@Di
zenJ7}7q|3Te6x~1M;35JA<Sp_K7-n+!91yv?wWqVnz4<kgdx5Pw{uv#-^TmV=m%{6
z_Um|6^z&&3&ua#8EQL)h1$<lb&s>TY;11u_#18TOsM;J8wCVP-=>;X|S8tCz;|}Uu
z3MS)@=->{S<BoJ{_KR$eDsK*<0tBHO-fBp6rQmZ1r*j8tH%H$z2evf_c{T^U0Q^Fm
zV~P*qJB9UYu&?m)?}ic}Rgix>;B-D0Y=)5b^Co+sP7#cdj*!atnuL+a53tK2Z*Rr>
zq~Ru#CXgmTCgLQFB-|z5B{m6E_Kl<Lf0Sp_g^-67l#>I;K&pWAHNcMYfRKkYEF2iO
zl4+6uL7Va$aPTKjq+lz$BcXqh>;j*ooFShfmmq(kEG17O_XqOrZ%KP7f(y}6bXYCw
zOqIo1jae;N9eMG3TOXcJWGQ4QesCTEhj7XxS{kZwx@E2-ig1!6Vl5#pp(9#>knyq+
zEB#A#nAMLp{mSaHX!26>I3NWD2?Yti=#<1=zN(3P;Psv`Ju^{!snq9C_0A|SD1#`w
zD<1)l-OCz}0Wee_Gfc#hw2`!>Wzn>yv~gC0WnpDuv>~*Sz-i5&@t=9%mMU6*s~%ea
zf2Nf;=(F34u1t<>j)$Y#CspLSvcNw8(}w&rWr0>bf7V-_139wl;f>f{uzUH0(}~x)
z(q2~jXTa+mEsn_bkW|%G(^U&pN1T6mlhBvMSHoAsnorFA+Jy&9+j+mM@zI-;?I08+
z^>OyF^AZ^To*7_=O&O$0#B<GGqDXMpo5hnBMUxt_F-RxnJ;r6|b)NF3{P)~~nFziX
zCi04t(?~#4G4jFfw){WxiASluep>o&D_}z+{r$YR**r}~_&<%IU5&6^jgjwn*cFV#
zV2Erlnre|>YGI*kAfc}qk+zv*wy0zN<QMd>UOWzj*ub1Y^wGlGH#f35h^;w_t~tWG
zIhwELy<cE$2%Nt^A4TxJUH`%XMo4!$HY?~dwCgUv*wALI`emk`*>zXw?a&?PW$Q%f
zfi&vvQv2=D6zAn>QM(gvSEY+D=nA(BkL84mOg$U7*6l6KWfQmdDuwLlt9O5lVy4ow
zo7z`8Uh4nEmClIzFG869lec2nKJ0Yt^py99fQiVEQ7GxM)QZEL)QYg&{|-(kPUlj4
zYTJLuq9h}rAVMS(LiQs<1WW>KU?0fZUq}!SXoLe_dsyUO$iF;;3j??RVc?*NKV-_z
v9dFQWafV+*i0~a5d6F3XUyE-}&W4W80ASb;94j!~hK&b~f<i)367K&4#UTbP

diff --git a/.setup/latex/pdf/betaNB-zzz-tests-benchmark.pdf b/.setup/latex/pdf/betaNB-zzz-tests-benchmark.pdf
deleted file mode 100644
index 3595a5f22e407ecdd5193453376cc758df887be2..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 80490
zcma(2W2`V-tSyW#+t0FX+qP}nwr$(CZQHhO+v|HT_K%x=l6&TlnKo%MGe<_-q!}fV
z7Z#;qpk;v~nO`1RhhkvFr^mN5w1nd3hN6=;u{Cox$7kSR!vFsqC^}IKYiAQjd^%BU
z17{Oq6C*og6DVF@C?{t}69XG4_sx)49;+dKm{7Mrs2I1Plcd?Vl$ucXWuXgutqXex
zowDWz0=SPKo;8H=Wf3I0?l~e*B64=*%e<Z8LdzCl$8lrJ@Vx%ahE<SOR&i0GZ+|w2
zWD+d~?Io$Eq!Lx?OoL04S=lq^58Y$0YsPV4L@=Xw_+V_H<m(0SP5L=D3(JJk=<yZW
zmnR3VywPVSv#@_pjij>OliZ;vR?>;X&5w6-YBXLD=+s*)Mm(HpBBB<|yLP0W=GR6K
z&|}KH0#GKl#{b{H{Ac~YaA0Kk-+(Z(vj1NL(xNyZ3Cw`peMSY=eT~aHGev5b6qT<J
zN)ecto62L}Rim$Ezx6k!);8X$OT8|oyGt)&$~dPF8{}mo`odZ<k&JQde6dbggCGGe
zw7=iX6x}SGqp({Xb|+L0O?cImHA6}_IcY`_M{D&K=Ce2JHr0C77DlAmEh(hYrFE>h
z+e)|N<(Joe!Jys6;u|zas3sPRUaL3F;Ewu4TLCX(IPQ-S2xmM{vX(+b-Fg|`rPy0y
zs9qLC=1ik{c|pzK$M*g=&ASDqaIB6idKGiJ|7BiR`!pz(?jj@O6fNQ{)y?^dc;LXB
zm1EfD|F@tmTgnO(tc9qY0f0ET`M#vQiKj&2;R^&!p2hQjz?SX*fGykqJ=t26x@?E&
zVYXjTf}7TZP!!=MH5rk`p`5MuX=V_bCFJuP6v)os)MB;!?bF=v@gs?24-v%(vH=e?
z^!@l$3_A?K7!|Qp<#X`kpT+xk#e-m0z^@-&bj&CHc(+P>vG0Cs*45~Mj8Z}hZ07Fy
zI$~f=_5p;v#A1_@;;$sVp(CB}5!~r`DD+K?=>d1?3a7Aez@1<=C0W5XiL!^Uh#BMH
z*})er)<RU>SnUO4leYM9aDv6PALK=&5_@DAeRasHUdb7Ie?w7^3N}2Y^@HRo69cp{
zy&EVctE_vAd>k7;?MwDmR>N$Twi|QbVY(PTU8Z6lfh&*`oX-oIhmnFLvRw+7(uQ^Z
zK%?M?%KkUNO#g>$W}&D5zbCKqRO}Kx^3EAmb)y6E;U|t6s`yYiVMCFywPZ;3Dy)Ew
zB6iv@@0x>X^GN{)B<t(Tj8FEJ6Lut~@WNKK?AH}%7G1NbG!g-e*bAIWH2P#bYod6i
zLXQa5cYWJXeBG5BMhJTdt=e9`UXGNx0HsdBluLBC3oq59OpebKI(}I=fl;^tcEx0T
zBvvzr@d6!aw4!A(#scO%NAuJ!AN2GR`1e~vL>!U|K-iTOCo;)qx$sz&nnywVU=@m1
z9T5$^+W>mSvJHS1nNe%YKw?fCINO)d;NE2QyVBQtFMJ+bFYIia4_g-V6CSM}(tV95
zV1Dv2c>)0K&aB6p&35rF*2f$ges-Q4?1XlF;sgZ;UGVXH!5gh6&{_xL`UbEB9<PE3
z#|e<DsG$#llLlO{Mk-Kcsij+d2}`fs)~@T!1ZzVhZNp9L#7*a2%^b>*kDI-Y_^i%d
z5(5a<CP8x+y20B72kz(41M+6A1buDkVPo_w5nQ5aMyS?s!lx4WCqQo^U2BvvTA+d=
zl*`OVm>7(aAHlwF>25<~{JYUrCoQ-)-O|S|GsvDMBLhO7t+5NUzeF=;mG?x)00DMb
z*T=UvZ;}aMWa0a{*E-AZC2PQQZ^mD$*s!FCq@};NCZanZk)j6*^j|FAQ3CPD|K<?$
z|K<<_J_8#g>;LozMtlZ(1~!)eahdSx|Hs5<U|?ip`G2$R|9|I*X$4hAzC>k}ZgWl(
zl7!z0barb4hM{MKp?78zhae9O7I$-VBig~ok3m9OB*4pcy5%_A{nNYpTCE<LZhC9F
z^2z(5O+ROLVK1r1p&59LrB{>1rL|S?kIrl+fT#1%%8HB1%0i2ZkU%?x0{t6{9Vvzn
z?c&EaDEu=V?;pTl6U(9=e@Q4mg#ae+5&-1(2EY|iz$H+ywFRJKYa90qkF{6uryj>K
zgq1%6BIg?Hr&X6`jFr{353k9&GRpb;2B}wX0CE==4rc#_02k-*KR}>DfXN4QYysxt
zR&53n0OX8SMX0Y@^DEIuY;$sPK>`Kh;pT4VhojYwwbz1Fh4Tj=UV+Ppbp;&S8Cdn-
zBLZF)fZOjAJsLCwI^Pt~{&hZQ-)#5v-`DRi0)%P+8q&rU+SXsyXWwt&<QJ1b$v*%I
z{gF`pN$LlDzp@A5*5>vr`=a`EBZRn)(~nO{DGK@raS9r+0c4FYPtPx;n=-YslmZM8
zsPRV{m`@uU_kiz)00PzMP5iyU34u>n0t&z*`@ZH)t7;#fR0W*|4f5$Fx_`$UH%1NK
zl<MGY4=|*yQ}6pm1|1MogFCka{l0dxIfTul&-*99ijdwibH`A<lkM+GAKrweF7Zk?
zTLgK9mqoLVg5N(gLqkjs1i%H{pR4NHzX$5vlilyf?%|t-XLkSO;OGpr&K(Q*8no_@
z*H`bY&3~)!PqhtuefDHG=0`-0i|fxaJc*(Y*&5Pc|2y$(4z~3jfp>=o_W+V^&o>zd
z-v9IU^hVbt7NWs5n6LXc|JQDqAJ7>c8H)X-NA!1-oa*`v@@@}x56JET>JGro?M(<k
z0BGyK=XbUMBJg_|^p&Shk{(0Ee>~@kH+R8D)Ad&ZnA(RLjB>x%v5bS40u5IGP2{X(
z3us$4#>f3P=lDl-{3mzP*YvFy^4o_q(Irse_pb3v{O$LR4-T<>MK@aHxTB5N#y|7m
zfTsT^#RBlx(YY8afA#l5(GiI2CIDp${qu!RK>LUwSKmT9yfS$!*YRz!_SIu94*^qs
zaSrtH(+t4w(cbYl_SUYW`WiPEHdRFWXCHu<cGf2~IZ%yV<7bCa=Z_Bn5*E~5-;P%@
zOob0{f8e1lW>tTNM+pYdp&wftN8mqp@D0EkYhS&`MoA6;Ao;`k6A=u+pWzn|0YLu7
zhI9%F(DEnn4Um7!cg_&CyC;6k0DX=}3<IF~8-(km`4i(S2h;qEb_@tG@D~_IV)F}%
zXSMkQ`|;oH!Lh;9EB{B2YZLD`FeZBa2a3lP@C(h`dUy|i>|uSPSApAxeEu%iAa;Ai
z^-K3=M0fvR+#u~=U?4#LRo}jm!5iPc-%d^n7WVIZ;7@~29NHJ&_m~qTm{(v;J?a^D
z&9I=JN?5C|ill;vy=@#%p6Mp5xarBWMsQol&VC_TqpCN|FH~Q=B=+T~-fprHhhM|<
z^R8K61u9P=hd|ZI>f7vL&Fir%^y(mp#h?3aud)mtEGbLbZ4}O)mzmxVzSlA7Fq}!L
zv>BU$_KbBQRh%y9TxRbf9npc)mL?ZUAmzH-h*GxQv!Qellxcb+^^)1d#ez161^qfi
z9M6O4EL|xi(<ojpWuM8|BbWP7+L=-JD3%w`RgYrj)YYQIfVhFQY>>AsJLAMP(GQJ8
zhV^b4J)bNGH|JjHsCTVEAuRmyw4TUX1G(<EhxZTDhg%eWhGF;2#63Gz4J_$J!JT|g
zw5#LbG-g3yg%@rVHZ@w!>yDS=-Fah1+&#jCuh*K8%x-vcuABVkyc4QK^Q#@=Ug9Yz
z8hPW_m+*I4?n<v0g!_YQz#8M!O7Rr<@yBsJj>P%pu${LyVCcidvGm%xyr3IUfM+-$
z^R$sz8bRpm<9*VAz8}XyP!9;9%0iX|af%v|ie3s=w*#K%GT)6>h&XLV)SY%;zkp_z
z+v<)hv`#%OE1=wHX)lt>ZD4`7YDbLW{>nrxvq#@v8m)~4Ifr6pDEc+JCXKQJ1keeo
zh$&x@b#y%sRr_)=B2HBfb*5*`&rYY{=4Z}bvEsvU9KDEB+?u8P3CWQ@n8pTC?lTf^
zP;mCFcx^&N9?qn8ap2Pl6Z7FjC$gmw__GUAfxRPYq~gmyV4|D^I~D<q1rqFNT_^2z
zW7y?-(u=Q$GIzGM;m!)<sNIXSb$TsUxzogP!?|1rZpGcTyjiOY+auzB;jFkst{~05
zPG{uuAPW|4RKu20kF|3*)Y=&*^%{hzmu_VH0{h6Tp1Cc|s9I&$z?r&AUe^Z7$Sjx~
z>|`vBDT|xMtZ)|EdjcCXugJ}H_Q2*LHTKi05!R33lv?MNUqeOunE>ixPYp>VGgt8L
zBeI*VPx93daYTxl6N5!8*GHJ4Wa_fMpo7r^`9O#=U<w^m1xxtS^{yKTl#RxAcy$h-
zebHht`N9X(AwiY3u;K-oh=!o#XOqBNxzkn#7`%+drm5T|Z{%|!CRW)3`@3cWN2sXs
z2skV#RR(8p6;bflkmBy04c?))v7&vJ;`UbgVex<h>Zv@ERuHo%-Zw+4swlkC(j?~t
zLc$1wkVa@8%?&r~=e&s$%HuIyx|zv6fiSDber};WI)m}MXjk3{avgoMM>IKBiJL<u
z(M#;YMLKzaZD6kHN13=xH0ypx{6mG_!q|yB)2ol2J$eUkr^F;ZDM_Xfjv3e1+RQA=
zueago$lGV*Xf}$3&Itt*m=vXitP2V|UnAC4)3?hG?NjU-^Q)D+_-^W=4!FWs&|-SX
zyOWTsf>AG>oXc~86Stk|pLR8!oN3F@+L+o$h9UoYFZ|YRKhO&T?51EN73fg-AC%-y
zEwpXB{2jJC;}U^qwu*k@AbX|(4JTj&VTP243!PKdXxEFQFo13?=9?08n0FPa+r4Q`
zwa>EOO_~bnLHDNA^k9oPAtx3hG~`SV6d%mTc3~7F<Z?)kapCZ%@v{xgZ?Gz+fgOD!
zE?5`i2f-yv2oE4=Y&%F;p<jo`1b$(za0nmZK_wqmB!otyAQ)ML2>I8$G{`3SZq=%L
znDY4Si#jJfP&Z}6`F^$BVEggdc;&JCb@_d0DMR5<n>#ZYczyNhhOy;=)qrVb+g+W=
z<4)ezgo`G6<FnUDSd|`0QB$})>UE+9^mK$-9p)oiQ7Z((!U)b0`ebo|%H#s2-f(I&
z+kO`9bUKD9ViFtK!fI;S4vpXjrkQBDa7_6XJ4ty?XfQ1jmP(eL6*y`%AME)18Vvtj
z-JDbrgjThZyQ7#$fB+kS7AM>xV0EiWADc$IrqT7-IidF_um7uX4cmN&Psn5EXAGGj
zgtMVs0zyyr#+sX?Y_2rL8Y!6gO;Mr2ZM$AC&>)#<8gD52lKElNquS<lgB3f5X1D7L
zI0SLVumu)V<d(@~wI^{K4^PL*S~8*Moq^c~V!rzfc)}AjY%SBkloR`Xuk<o$hhcF>
zuMlg()bSeu)RoKQDj24=-`L5pH6$g726@5lG70-S338B)Y+eg1*li|z84I$$eaYN}
zeV4+OiQXc1GXt8P-$8ul@biAL*;(Cxbw4THa#F^3Rvyl`V9?ZmnG#LoAkvUwxMKU&
z7ho&Vl$wn2tgOLh+aW<mSkc?XS-UQ{?9)KuwQ|Wc8`{y=Gbzw=zfd$cXLv5!VvNmf
z=_@1TA~^>_YSM6Q^12jG-AJw?g~AqeBCP9%BHZu{J5cz1Vc7wI&ZMkUdNUSq?;3>1
zyZF9(IIk|X>#HPY--2-b*k>f&FzV4IA@k2(zi4sJS9MefP5HGHUjW=SXRGaE?w+(i
z(4S^I`cx^0;y69_SknXf(P90=sWFI=zXVKwDfMGBO6Cj`aqW%}sW6}J9MF=VSj)`0
z9L^1G?2UD`kWnpX=R|dH$yK%||7(zx`M9)lf%A2nQGfYwEN3K=@w7*}KC!sHUjmo1
zl{U6bO5mm-FY9uOxFw|j(ABd*j`C({eVmWhO-r_IP%XHJ8DN38tn8tqH{+I0!=kIh
zc&MV{qY>2&Nd^5MMYvP1L1{A(`#VsjQc|g^w&$YBgyw2#3m)OW$4-~LW$;*am4dW;
z+-_I{sLrQE7L_WJc|-+m_Epa%&Mde#4kdE>J|+}|aB<^xZD%qDNG8lW6Os)Qm5s#-
zrn1_XFqV?!3I)tvM+l}fh=AN@EvDbk`owUXTPS9H7|nakJBagh61x6(jmf?8lEb0S
zcW-2ZY5vv~&BBocr0zE3?9=9SaY)D$kfWY?@3K#Qj596If&E}fy7hubFtwM8(u1?Q
z-PHCEjL`#Cr8Hl7fv{?6<4R~sR?Kd9suKY$D*)7&49%W*s9DW>AuMiuqSIwqv996?
zD$zAuNy>$9>l)1mdrUJGW5)C+o-3EJ8Z8vnGAu5J=G9N{sJ>gTBDaK;N-1HWi<DZ%
z%m{MJiZApNopsshVu9jMm1ayxt*0bO7v=E<c$KU?)<>p(Ac<@2;Doo>cOxRye1*>G
z6EdttuUgZy-GNdYV~g^Vs=Jl|3j5#fAG@z&OSTY+;wA`-r$=1CATj*_vj)>Lz?RXR
z%%W!5pzwyLr<ad=s0o1?clmRK-E_-ACRyW3-f9Obq`<@T6DeNMK5iZ1$Q`o^DGi5u
z*-!x|$l~^j=?=4uY>OE3fU1D0N3|PVOU%v(lt$XgiM*EbOe?!iLGO76yP!>HwJoe!
z_o)|(-PEcs@0`dUo)KtsvqU(J#wd=TL2;hBhF>K@BeKB9vLm+?c&X>eizAeFCie{g
zQKVf4i*Lamg#xol73vo;8fIXNq%sp#?o3IlhpRO0dFdLAVKt#g={iOz7OMt#-)48M
zN4OL<43OH&2Cj1EVAdD-b^Ccb;E!)7PpV;Cy2Rkd06`s-IX*7OTT3QT(VOal#PXDq
zs|vk-R|GtelJ-8gEf*xKsVHUB^Vx&<;U;4yGCU?<*eG~}A8*q&0gn%R+_KmEN++})
zdSJ7FOMePo+z4sDXM>BD!O?s#A^OZ?DV&8C9|e>8B-cOjAB0_%{!npENI~h-GZcp+
zsekMHVV{jn0V>7oJ}`$DEw3*f2nRf)S#V&U^rOR0gBo6#)|vmZRI=u)i`&zq=hjbx
zMFv{fGjWw2T?j$Xj-oGV3ZxD<-a_E(F7z-8ThTl5_o@ac&|Z%zE#Vi<RPN6E7I5k}
z;+x7A2reZ=dU5bX2M^+piLSSwktI11jq@+v0TzCuJ%2ru4C2pUalObL#%bcHHyOJS
z)9+OZicB*A^UFOfG>tzO9etcqAAo+lb6k`eant2ID3GXfPsNFA!us0!$dzYPDCC<Z
zXm$E3YCyy*CjJ2~BwZ~b+AuD;Bi*mxB44L*l5LUk%0cmkAAq1gHHY?9nCmDob5P3d
zB!UyLUA6b6PX>6`y{+dw8n(B|`tV==dLzfq9W#Ef@Xa7&c;k4m*o-21H3yS)`am7p
z%%)@$YwEs2PHpchkEeeHKNM;<^FeERE}a2wBL23n*Uod7;F&BrmP*fOwruz2u@wfB
z|2AHTQI{RZIWaNJ=6w~LL-}$>H{<JNPq~O?e|UPenTg?AyuYE~bq69Gza<K(<#<|p
zSVUwYdHy7?t6EJIn~ail6DzS$haxCweefadM%WUoYE0gkUS@?nF3Vlu>1jCz&x@6_
zPdaI7jRuit!IR^PGOF6VqfCoQ-t0BJU%y62(i#~QFaKz=9Dz`=QL8JG`nE!4rVv+5
zwqrG5bvhf6VNbz@cV4uWJ4t*k*D1-Q{>Fp?A8Ve23RH7uU<dqJ8dmb8oE5b<jm%Ar
zYsHw(sy=DGE3%KL5m@n=zdgoSfNjrc9$rPPlN3utP8R-%5ksaHb&nWFru=kxZc0C|
zD6LOjW4(DKYN+lm57SZHwW4Fd<w5AmeSUKewo`5Fkk_%LxbdxV(dQ4`LInTz8$JrN
zG}Pn_@WFVIoac#=2k{6sO8?#FbnqybevU)ed1OR<t|_fTlB)L%RDX-X;sZ5c`bMg0
z^dme>*Z#>FowW`XmXslsT-W1|e#2zUby`^G5{&qmwvBX2RGY~WV1$R)evev6d_pjp
z!fho8d@e!Qr7_$73j~^))6%d(#P7?jm(5^LNPhWblCh?AfekVB*G@K2MJ!$rK=&lC
z<Dk6>jtyRE{1|&HXXxpR2)B)0uI~Fh0dV7!TjGu~aVLDB{Wruo|I}=<bl6Dp*JLSY
zWCzx&CgJWND1Nfh4zOGN3Y{M})0;XSp%?LDPd2*$9r8Cw+I`BU1Ip+(<uhvh?I9H%
zV;XBTWS}3m$=vn96l=VV7l_(V2gd6PT_hwX)IUD4+>@Zz#lq>U)CZSB)ZIX)GgxGL
z)mFHArkh}ZTD$u0RaWuIE|o!OF1NwZC>rHibwyrP>#oqp__zG!yN@G-W9ZGtLUWaT
z8~hg>$<T;A5ktymsZF2RNLs-c72G!t<|MaU>9rR60n8%`Vaa8s6<p9yyW+%U{8FJG
z&-p9pg1Cf*yBx#e#++-S<u<Xy?>m55fIkw|R{Z7M=et^wx8v3`xjVmKMqy2)Yu%>p
zu|8|#8FZdW;&<uNsnq1-JLrA<v?MeYyu&W}q0{O_gzB~Q34L881CBnnre;acfklE1
zel2JNnhC{|+^9*k4Rvt4O!Y$FIG7#gjPgycK-sjbZP9ti%jhz}Z<1JEv}5+9sEziT
z!+V$+w1Y?7h7pjuktMCV*&=XoRj<m4+!{Z#v`md?Xn0UwHg)N4i`seNRl)tjE|=j~
zUl8cDGLr$lo$NhVC$xcg+8%Xz-XPL|cvLgtJRdhD*$F!J!ad7!esXFDY)%?0_m(#`
z_7eWaH#3~YTmb)cOe%`M-aRJE!S?z9>AU3A`k73XjD05m{?y;(X*9iAs{oCVRP*xh
zFV)|DYQ~NdjEUsSGh_FlEF5iPVd(PWU;_<X(jW339^#Z1NxAUXw#|CSl8LPQUkVOH
z%53&CndmEA*YWnmu&tWdk2$}fvHl8BTo(Q(E~*475ypJYoB>X_`6PL&-lb$s)y{-)
zHR(2q7s5PyLFR$s@jnW!ss1=06v8WDN=6@&)qaSnp*GxEcUI0y!my<0X$k`@aAp~=
z25SN#{?KtIvzRC^HgE96q#>Qtvb%9Kwhb)G7a<fVWJ67J*$voc@JGs(Eiqmys(b!c
zWV{4f;_iDK1g1^*D4kuvo8&hQ@>Bed_x2>RK#}KYAwrN&xg4YG>+ixx5({FE25ILL
zcsOl=NRmAzo=CeD(r#c8UbPsaEiPU&RF-9hxWmxWwoK>7Y%;p36x+}dKjT`Jf}=y%
zpIOaJv^YB_Z(gn^C2~X>R8B}Km8W%9<iGG6uIJ(-%BlzVm7wgj0u%M+w<qDMealtu
zzC#z2-DsZgVLb|D0b16%1M5@bl^*KG!Nj61;*}<Lc5@$uJ@RW2p-0SY&6Mhbr;Qn<
z-nl}$r{ZAa!*AFP8rQ_F77XOp;%6_NnL=Z=n!M(<MT1!faNBy&4j+-9Lm$%)5mk(A
zZHX2=Aht~I={nW8%IR{mPYwx#r~rFT@d~qXYqn2KdS8JepSQD_&FBGiyOa;44;600
z+BU(F0~~<DTn-jhN54ChCDVc@{yuVtDU+|qKt)Y?1GFn&dp*vCSKIl`dogdE2M_C{
zf^0m&m9e4vdYpPdgQ$@<7;@#RaPfOw*h6)6%x78MZqnRDJJOR`^pCa4P|klBm8h8=
zW9T1};?8k$m`&Om(dMl`P5`>cZk0*OmKTGSU?h9p!qqT;8zs$9SSf_zJ!ZK0w_$E+
zLOMhMUYU2M4WoMp^SDx6VN7)S2LE;o)m!con~^)5&9v)vG^axhU#q5~skO3ebBAMH
zK<1CKOpOY~6=8JX&c2YCtshwiyYSlJA^54-p%^;p%q0%rO?fa3KAVK*A7ma4My3VN
z+DIikYz;s{H2!^45Nc;_0@a}f2!@hou)i;apYPQ`!sbG@l1riNQf5;D$JJx}n3x-0
zSh9UH=2?RkmRBt6OR=Cw=^86GyYYB@tuDm57i;TMS*b8<l7%uC2rS8h=QvxNP4ryw
zs?dQe29awE_Btz5nVb54{Hj|Nm$fhx48zhz)2L{5UtL{@^86%_qdoTisZXMSIc?ay
z8|KiSdV#1=x+GwN{+(UtH?Yd1-kb7vhm@dR0agKfxPJoDDq63x^R^2$B>-Dx84jvG
zpy~ZyXLKK&f-0J^FEkSV%k|e`BF#`g26szi`Fn(jTV}dYY})17UbB?@Xt7knir`f^
zBj{`#yvIn}xX#jSQpeN^+TVKWf^}-SrKr;ay()E5xdamEv?SF`Q7LO_!>-7pFQZk|
zRPh7WaMepQumT1hc(kO$b)G^pbQbbeMhWS*4Bf>OOzQG(%C=YZ{%-qzt|v26l$hj0
zgRGcGTFXleclaP0ov559^wo8RVV%uGn0lyx{@&=6!xVHw+q4027Qe>5JumyjZ(E%_
z@)VY&7CQYe3DIg;y{2tx-8<-gE#4~Xa%xq{_$_2q+8FYv-$U1^(wE?ZAbQ+O1FOJJ
zS~5&JxU{QnbnqXmEsHj|Xmcw+x<*&WI!VF5S0j9SVa!lnVKH^D2b<F8lRubNf0&sL
zx5U%PBo=@s$iv;MD^ut5m06trkxLlupLf;c&ZAmzO)52K>+<c-q6slR6U14alg8_E
zHg3bCWS#i*#CBcD9$Mse^d<{Eu+6h7eI#gz{39#N@Lb1#*jDiQ{s)XmwuQ?Cz9N14
zwYVu1+)eSq>1e3{2(PHMdF_@K;-Eovx|(Hu_vIP|-yYJr@eN!;p2MB&;N<?DN|mtQ
zI_LmWVJtr1w|uC2WFc1i_FIpu#o7tcvf)%K3$*bF?gyJ1M)P?}XaPRj!|4yvq}*d`
zy(}&D^5TOB9dtlt#9aW%Ysmsm(F-Ah+#?;~)P|v@L*+~HBzTyfu3P4$lgao5(vTqn
z%d-M+W8e#n7WQzZN>x`Gjq(@@diYc}dl=2e`<7Q+o71y6Mf$XblT1!45lXmc*c9rN
zy9=`Nj0d@ZaNDD+C(yr2sQ|aQ^>|@__eDSt>qS!#|4_@By36KPO11iAIaCNc*ep#+
zMcOfO*iBb@QZ4^$Qm(sJ8UCy+I}n}?8AH`PbZ!CKxNj={9W532bfc8erK~=qvs1VV
zY3rsN<Fl-UZLXp4?^1454V+yKzO2}VvL<C9yRI#tBK^E_A>R7LC{)LShd{z4iM_Ew
zk3W0IS7xm+dU&z7Txd(4=sUIHa@&wdF*W()mE99IvlDX!ZKzufv$=8v`*OFA${C8a
zwxy#@Pbjpg1kx9MOJMC~+FD)KWcUfiFd)xyHaQKp0gZIhvw{A3SY2E_#I*q4qVT%)
z_{;`xkb3Z#gvd9LkNe)3#B+u*GJB8|#o4^+)zOxLm|NDZ=eE8AqeUdo?3#BkK{*+J
zzk1&G3mwv#ORC)C_v$>6x0NlA5+@(uB&3=2dDWQxil6XQ(`c^oF1TnHFpa!xSlN2t
zvXp$ih2v{u^29BM-b-N%Bep8Ed>e$W&~D4s*N~;jJ<xkJbju>Tb;FVSH@-!^L|M?g
zyCF(?eJU{#bxO6Q$X2nKsPL%=Qx&wGzqF^$N(hSPDebaf7fRK1Ne2;_#mY^JJImN=
zMtcMCUkW|uB4>cqSRQ2?2fZ*kW|}I)6m*Op(s-yw9xL2-jVC4MO3()?sC72BsS9M2
zwp(qOqh#IdcU-$~#IoM`m)Wk8^mvTyVu0NIBHRu)tW>0Rr7(1Thi-aU0%kvZ3qx$5
z+7(~Dy9|o;%IJ28LuNRa57+^hQavkTtu%bn!*s-}A!<%{UUfa=tjER+hDw|zSIA;v
z#V}5?O&k~v^hzRq>v7C3vAn=fMro}&0ml5}5v31DVH$oLRrSKsmluMoHQe3X%2jAI
zOB0r|>92n#2vH|p^{VFYc_PG8FvPFfVW)W?Gm0igRW5zIPUje?n^G0?Ica{AZ#-gI
zVtT*wEY{$>1Z8`~&Z(6ld6V;@a6L_d3(=W_5~MX!jIj4bZ4p(>r-LF(t5>$WAp83Y
ztKw-}uNrfwj1cJL9whvD+D;Xk>4OJR0w`%+N6Gw1G-7!;Tx`F+Z)|$BQ=nZ{^7KkW
zeH<QALmPvXd|e(SRT5+CsMM&DE_`OLH<3A66mbp&HRVyc*o47iL0Lp_<@76Bk9zNP
zzknNx20s#We&;0)O(iYQy+w<7db9!ug+Gc*bab%FGY^Z;KX+x!W2x>FMC;)KcibL0
z?#{QxjSd$KOeL5#UCNNG0-K*k27{Xs)&+bTSRtrZo2cZv@KvxoT|2>abLRm*_1-oq
ziP6yLjS_K(#cp47^yo))0z0yF5%UcV!C}l!xlRNIyDX2hCZJZW6OCc5V;XubB5RFu
zdA{+)jt&7_dn}xDbE?Sh8ZE<MN*~FhLJ)Y~VZ-rP$IZ=|?bZ4R$%O*z+Y}oET|I7!
zL{}cKBGIm#*vL;v0%%zxwWahE8y+Hu47?59f6Ke2uZTBOr)TPT^!FZ?2wZ0I<FQ+S
z6~HN0o7U<@y?uf~w{*Zkj!xPU`Z)sw=L-j{aw#Q94WdFSpJ^sMubdZwho2knKEs|^
zjleNW+wVIhSe6#$!_GUj0L(;V2DohJHkD(<h(O%MxJtiEX>$2ZpdGL+rp_Odw>^5>
zW3G)n<J3y;zQcn;0z#LlkAZr}<YkX=0D<Ipi;ONxlibB+8fG_@8MF|Uwu#g85Lv8l
zi{28U`vcQbT@Ril#mB(l0Zf@n==AOkg2KR`BPh;hz0*v-4qh6_W>4HBw$2a3OuPqP
zcgYHj!maPP8MLLB*%XIcTzh%bjbbZm4*NA1><hYBa4qJO@XzQTj(NTY3mJ{3Tpdzy
zCK_}(xfznvsPZus2Cx~E?%qg6Pr_|FIUTtDXFluk5L<0-DS3rz2svgplFl?_b52fJ
zf2cI)A19tK^rlph=Hv36cAjGhMwC-858%isV!IDwV1R=+Pu?t&3~C~NJ(4}B;?c@C
zR=mE(PFGuXM@#0~{&o~mQT#>Ej>{vWk-M?*t_WgAL{?YO7CP7WEjn$1bsr0(Zz=3$
z`1N+WY#vQtho|3d!XHC9Qm93qDxqx6J-%7(g%g$wxhE`J!<dDNJ?f2$2EjTMt;xP0
zwH|XxKehDocz+GuJ#%u#rVpGhXAF$Zt9R@x$<dK)D=Bh+w2B?HnqEAZ%aMYQgy&@B
zoxE|Ou~rMe;X4%KCU0w~X}~lDyY|(KV-*hU+461t5hV4GL51X$M2OZ3z1#1OKIMB~
zJRGn=>P2tlwR<!;Mj~G*hzqevaw?wqggj@dRY>c8nWT0L_8BiGAe&s}1CNnwxf24^
zxyDl8F+Nq8hbg^P9ppCl@OBSk384tYX+GHuYbcBxJV44@h*6AEA_1VkyjFur9VaZW
zfZOmHiFF<0$48|0d!oDbT2RSVBH`aaiV?X!WI1HNoCf!kJw#(A6Kvm{&scX_0}oyw
z)^jdxB1#%Mzihh+mr3kf=V0!8HCCh9xkfz*S{=XIzsD0Bb<)Lb;!&Mq-gMQj7OKE2
zhGTCF4^e{mOro$!yw9$zCd`D;i5!)P`iN6D!G0zD0$u~*o2j{_<2;<y*34C}O2Ao_
zmPg(v5SYu-&jAuV>K-A5`Fp!DOujGMKzYOcp+OzGarUXMUbI|J>CyPrJfhv8&4<7-
zEIRP%r%sYw#8pHb_MjcUkb^fQOx>7gm6|?MOBkGt{66AoS1*~lKS%=cnToyilk0R6
z{+>i@_|Xcmu?S{h9(wVB0eQBl(NTI(6c+8wNQjddC@Bok-4)gw2rWzJ$JqEOC3=#W
z`|qP<@)?7{yn`+pcGLo;+>2fa{UjMOQhOuIPMiuJkU5|Ci0o6L4rf`dd!%xFIQNV)
zxDDP|rJTh)xFf-q0qmJ}1Mkk1#aFzwEH+jU6#gTUL2mxD0kpcA*#UjvpuVmiU7nk3
zyB1QoSKx>F1B3+zZmj=UCFAM^W3fZtOVND+$@15S--Rud9>u%Df@4QPjDo!aRh2rJ
zLs3~Id&T-#JU*NY&w6WjQz{*-FSpaW-GbJxGl#5sAcS<V>fH1wPv?~z#m00JPL-5y
zk#MF5`>hAfd1%)Ab-ipfWPfF(Kc;MGN6#ThBlH8&T_9DryM}e~X{jqF>R*ct{Usg;
zA;n-B#`8J^&!D+f3i^n$6WVF2LvlWzDDR(cxIz$F;KC46Qf^|?-%6r=;Kw}bdhd6w
zZxbwIqr(Y4y<BFQTwz4GeEFK%ly<l_&ebr9Q_e%keP71d*yjHdWLNvhQP)m(%td)V
z-~!qaee;*gv!5B>*Xy^Z+mdcDE1E8Y6w~u3PEy4u4hF)=c?v?`cXE(d%C2+iv8JrI
z*z!~5O3bBJCY#=O>F1)`1#1OW*Rf_o<5y0j(0JpuyXa`N`EBqD{hh%E*(5##2b>g{
z986b?Cubpbjj?SLipTm3R4orFj_VYpv7VXhx>h=C^khlaf{FAPVF;fD&3||Y)$pfU
zn09_$9jL79NL71(pn5RY6kA<zk>GWQX+3yuCZwoy0R;dPKks5zF-Oy96VL2Nc^ot_
zp&&*}nmp2Zy$2;XHQl{WUY#IWY`AcfI7aI!*{yt`X8g8xi%=(1mLiF(rR%*r8xb5P
zcbkIH#}e-&IhdF+{kC?{k9O#wdPi?jvMU+6Z^(ICP|7qjG)GIz13Wi%WiWEdq8fI<
zQGrPpxP(MR-hrRnJO%$b-k7M1JaLC~H*dhdbEA#pDDIhO@C4gS`ZBjWi?b#W1UNJ<
zN#MMj4BvlMpEST8wymD1*X}(h;;*L4-&y#G$T7gu?=Khe8n42sY;Pq}I{tBz(>ow3
z;n%y4PD6EMNBT^CMd-UBamkg5=2$wnTCcxh{M5wb+c7kw-4k>dcbxSeD5@-sUJEL9
z5HlX0y>E5j-^@0(XWDpeIdj>8qG~5hY)`-9CJ$@Vdf1$COb9p6dJaNYIOY__4Mlj#
zc!X<BA|dNI34aO`HC>OoM6=6~D;XOP1ORiDQqvObBM1PQ@?-^SrA?M1E_gpw5&&~q
z4i4p9Ypxg_97n;?J}$ez2{0^TTLfwa;UzC^<DH6d+~yO$ud|4wN2-;>a1?U*bUp80
zgVh|rLkgtWBvm?kxwdDwQI5mZY06zF(T=XV>$eIjqNMXon_u@|_@AdF#BT4Hm(ron
z?QXTp5zj!~%L2(6vl=EZgxk)6vA_1(yQt35eNi8IMfcJ4Vn{DxT%^uAn#N?VN8#Wi
ziYjr+TwpQ{J?hL^2s!pH6p{ht(h|X}2ry8V=SLlkidjV?JqqL*Mk?*z!(a+qR@Y;g
zW^>mks?01DZ_S0<C<m8|qlkoOXV1}{_L}sewV-5o=OXQp@34Ss0SyGQlRv!46e9jR
zuC#Wx^4|93zzg?N>8wEA_cM8?Z5$))Cd&Sj?d%y7$~)hY&pMe$07}BX)ht~oJ1RLs
zZd+kJ!0~%1b$NvU3PDTHn^MPT4hXDDm$93LVB%e&2+L&Qof9ABhq-k$om0H^$xoC5
z|9wwMlo{oY+4SR8V9ZNNU&0tLSY+c)jnL2+VdTW!4=d!zw3l64=KYH<q9#@4XGJgx
zxFK6#4((nH-{I|kDI``F_HMyE_e48mkgBlLU%I`1kRVJ^8XKjNiRs5U8zDBhQ}z<R
z?2$;U>3+P$7-hL6a}UUi`k6@MujpJ5>H6)x-6cz?(SY&7Xga<2?s_J4dn+qZDTRx;
z{FJaVumJ;IJ{ep9nKJgUPB)i>)vbe63CERZW3aDjl*JKc6cOwD=NYbmL8~}iP?wz*
zTVGPT16$v?Tu_ppNb??G-v(_pyNJFG&Un#|aW?~P1)6Us{+>5`YAQPQ>)kauq!q9`
z^9$lC7XgNz<-D*mPVRB}<-(*SVQPu-0Iqd726IP0N5T2<ZK5DmiG(p?TTD*d8^BxC
z58$vhZ;3o~Z(EzId%>SLlpYd9s#$3SW?6xbSVeKf_L!%M69sPmIb-xWI>DI+2J8kH
z?{ZZKDvjO=q3091q5iq2Q)f>sU%Oy2o^8x(aHQW3p3%(5)4P#y(T&XeS1&vDR+;Dq
zToL#1GEQSyG0OVUMo=WmopoodC+-nt^#qvLW)*ibLw}6~AT|F^3sW)BXo)F9d`mO~
zhOS?0TC{-X$72?r4RLwE%9l`%G4P73cNL2WWfflw<-{MI+IH$8fSyq_^#18zVCn9U
zD&c-!9R;X273T#G+$9NDq6d-Ba>?9flIR~6VcCj8{97&MdVLb*DT-vjn_5}k4n3vS
zjg$}s5ZVOZ2pB|9gRGCWwEYGF+O{*RJRJ0sRWkx+Ii?Tm?0_L?MH54bdzYxg4C)u!
ze!LpE6BHK?BSQa)A>QHx3K;q{b2Exxs`|nyTE<~SRwv-d<IfYUBK`?P_w;SVQOU=}
z%ZkftVa`#*N+*dm7z%t1v#jwoaiFm%(T5PE^%;ckC=Vkz9qGz@(cw^1PbPJEThOCQ
zXr{O?qbgs=;$-v`F&^M!b)$HDV_PlLWY!p>F1+L$>+Z4<C0|jg0Bkn_F{P-Dg20>f
zJyJ_YJ)oZtfb<!dRq*)LRdVN>J8jBHd9kwQ3RR)9JYy_$nKwx|rM!V+2K{J;rFx^j
ztx}6Wx8=?uorj{xiUn0VZ@9_;k)YWfBB1Z~t-XMuz~xCo92nX9FS0n@HQ^qw0qrBC
zu4j`{IQ4q3Wq!_)@1cuN0VHn0ri52c>7$)vgmBj9o!5`}rA7Zg_46=^@o98Go#wiU
zO3aPQJ^k3P`ltbxps?6R>!0%+qSQKD(A(V!->G&YoC15C?+Zr$HUqhqQGqkGdMC0}
zf1C<N5NlsQ2jp8VJdGlFsVr6Xxj6Xx58hnX!p#3cg3SEC_5}WuAak%V{EyK1KM683
z3lrP_xc@&AWEM6S=Kos>avP|;w$>UA=60Z0{pijPOM90Pa15whoBlw~e*FF|?)J{k
z4o|yw?DrnW-k<JD&x*>9m$a5sHOuMd%JFa{<?|qEt0=yM78aSODHtiPe|a_|(?9=+
zh?Ibc2+-VY?Ulg^sOL6}Ty31=eRBh=p{F_k1#pD<iycxhXV18#rWQbPE-k=x4Zvw^
z?&)l9X=wmdQqtQ$$Yz&)z;HkvYH0vR7yt_`tau{sj`EtEuAq>Nj-@ZgzbA-%#!@hP
zCnu-HpA0yJRxl2AbYL3*M}9J=_?NH9QGP1_$eISw@rj>4N%@BiE{=@{ddAMqPDX$l
z91LrmX^`>@fLc`9Qvj2AqVWMxW1#mSdVXAU*v}{oU~UfnmF>X?x~|BYiX^IeKoEB}
zbq(|&YwSIyY#V8QIRCd1KuX0%08p;@8NGo<KhSx=-(4&KCg3N($)B7bF#_l;zNCQB
z(biR0ek?a=EGGYo5EO`feA=n~<5OX9fX(!8M2Kd`W}i9mP5_!}f6+TYKUX-AaA+z(
z|2vSs(lhgGeS@>(@&5pO0T&tNo9w>(kKz9mw5+V+W0Huz@qQvS*!`pT+IDgt>XLp8
zjjk+@KG^76>KPb*f`TKOaEdZxLVB3QC9m(|-Tr;^u`<Q~^UsNhh)Bvp0cZsG-;SQa
z_#>~ov<3fMn)nX;$O&jG%c;TXf6f6J-x@@I{sq3ffN%x`%*M_Z*v<WO{bma^GX+am
zN9O{J<~K!Uz5i48V+)f08@vm<(?0;4H}G7;W%9p>oAb+k-aRofv@$yRm3z-Sn<~dA
ztSqLK{z5zYdlweA-T}ycww4C)M0F(vc)}w*^7gy`y<?2zkLufcSF25qsi5)ys<Yi|
zyYS<5{m=qX_Jap!+3&NO*y^o91<C&uJMNUemL9#+oBo?q{9`)#lRNNJ{^*PN_G2Ty
zwKjPv%es{N`x}F8ZmoCx<J#A0o|U}=#y9)o1!Mi=QU-oro1YAjrp~VUYg3zqeCLH2
zWHnX&+Yp5obAV=xk0=aDYWUEz{FthJ9ZS~GSocS^!J+wWR|R;!6MO3OzAG~MKKZ${
z_f9*`qn-ac{(ei$vx&Bm`9)_yb%g_%9{@au`|};Y3&+`?_~wlw#c$&ifzdavZ*cLH
z1MFUU0!!cI?EiBp#J&a)J>Zk}Baj6sI`=~$`{%Fl%@-a8+F$++ZwN|X`5m+l5MB9)
z4+l{6>4)&<C9}^Lj@57ejW;~|5^G(vJMkA65_1C|)$+oJ;dc#HG|`98<d67F_r9BY
z!3X-s-#QET_t?i~`AYY$yZ4>9vb&MhwUrTM{fqKo+w_j+O=k4*Uu?rl-#!=4mEZo?
zHp6e#@>f37=5N!w*Y%gzzTWMd>CLZ0-`Qr*-UzEIzEYWA^|YVXUuMx?`d(L~S03(`
zpAF0tSBoE_neW-byWHRx1-m97&deXmz3x$7<XzFkx$!N)XIY=y1OsQs<}cMjPw3Ns
z&*824p}Oy(!^aQl9sH3f7@38={pS333-7*s@x9Nf0YMytF^1}8H?f?;Hdn)0_tYVe
zI+g6<9OaSjt-Q<1+;yDaPkkUlk|uN#^62jzsIoiMLz|d<F|F7YkQAcL9hGXP$Dg{F
zq>|N{1*xA*?4Z7fKvwrYY#SY9>H@KQd#V)h)S-FNx%|-~$mriJ9&fzPYKuqm&EM&G
z5pP?1Mx}`bp1G#HQnDK(<VKa96Ri+B|3I6LJ4G{^I*8}zoI~nc%+qeioB8g^7MaBK
zAxexb4tnJYH=cS}+SLp5OnX+RRyMM`?k65t9wG35i(+LI-y?H~CywU6QBP}KXxUpG
zP7zHC7E9?Ch#9c!OH|d%!?jtQ*E(WoSR3t5$bx_<9=;UZ4XdHB=%cg8lk2NCqX!pp
zsWkWkB4RgZL{_)%R=Q<sk{;1H$gOk(nj*AJ$NgY(@#I<FsDX!lp5Fx~W!-^eg|>3_
zut0%$fj-P=XISuNT?N-rKNTYq3!!ku1iG2~7t_n1r)nd0<QDh~c;^D95ys`Ew>f5{
zH+STB4v5~*tvB`17IjZu(jITIn#!NmXfHhX_WGQ}`!QL{^|p_Xu$cW=r{hYeB)xV#
zY0YXfmmt}(l-r(KF&vGEVxR`8CvYWLZ=-$<n(%4hW+e;1-FkoMr`!5>odCbdg)+S`
zwxpuJ=1C57ksUl2fxG+y6Y2$dw%f_Twc1Ka3O_Tz+pOTxPHGE@fEBT-Z~!~?worVT
zxUf?ei$jD3o$cAoxej3@<W@$uBWSS+6Iqo%^4Z3@9`kiAqDVy~D4o(wzD#02hPcyQ
z(uAM59I1Xn8u)ze?2jq_NFC%}4vje{uaG}J_n1H^2I&RCUZ&OM3EwL#-}%LRT6>@8
z=3(xT;^uCXJ~dM=(db`UfZR8V74xf)C?d?+eU<3eJt>I<_hg2$)K+vrt<fH+mCQT`
ztjd9j;){qI_%<*aKt$(=135;KFRd9rnKSI39x~CiaWe+vMigRwOyRgxt<n2Ffu`JF
zxta$g)I>psR^klET=O^)o62-Z9FuQ6r|p-79^9%c$Ip=%BhASTPBnV>*Dg*-i}Y;F
zK9!Kh(!(yo__Ofx!-oCT&#*~FFv#QNI9Ej1j(>85vB&3@L8TzM9JvUhOJH^c0$Mhd
zX)1eO2Q@1_fJfTO$)2OfQo1Ypy+qtb#2#&MOlWlfw=*+ZNI?AH!K8-d@EUBsCY2)3
zSQp9Wr$y4+@Y7%n5-cH<=h+J*Xj)20x1P+_n<{kmv>6%}^4ucu6xDLw|I#SLx8B(~
zImtXApe;0DHCt>%4HA@KO`bE{YDLQ?!pnN95oqOG_TV)EFEt+CjZGmFvkS*KI~`Un
zS7BL*mrt$OU`diQSxHvbW4Ge~ai;4N4LRYmb~E?moR#&qj=ZiN?y?ATTb${qoV%vX
zZS;DB5$0#8Nk-n0nB*HjwP;9*6XE)BtUe}@zSMIE=Ferk0biO}fB3j3Kx|wtYcWAz
zJ-&|(tLV09AO$nw4kRSfB0|jQH}DUsolc1$WI`Uyt%;moriv`hNt_}vL4yZ}H<fj9
z%*gKCc^`YuUle@k?u&2Wa58#YsXji71YN~Fcv~WFzjU5s>vKG%@p<39nq#cQIBeQ}
zzPNS%nCR7&AXU28p)C%j7W(x&S)!k@bQA-(Z)>@Se#()u2!VPt7W1ydqcK30$MpxL
zZ%s1QhOmxmGd-27wb-7EjW)S#;84`L-$ahuiczIE#?0%wX{dS@odJK4PTA$jU2+<E
zts=$f>Ve<&lip$NPHb0cm6s#@qO+rQqR>ohy9bV(%^fkB5l_^WcO0>S_g~oPX@!w!
zppH0W01c-7Sv&N(x+X9}I1wt?;rM2Km3D_B@&cZmnyRs+`!<>*-oZV*{OFB*On0*+
zPu3LQ>a52tc|Kr#FO$%CC;FVGk)X!%iJLr3{CEzw#v25S`7~JC!Evfa9eM&2jc-_?
z2eUL!=*2{YUYr^8&rXiPOO*BllN20$K_`7nWH|K^t{%fG2A5}pdFlP!OBW2)uH)PR
z90=v&DX0uNmcuza()vC89v_IK2PNJ5Xo2f%xuMbx`hVkSEXcmkN%xIO0`&Yj88WN<
z+P=fFUqR=+1TOcZd#Z`r#XlEt=Sku~6h(dBS%c|!d|!!V`MFD3@yte>XlgPxK7xg+
zpT<gH1D(&+YX)3`TWHuYQ<ZOd!9@}pdALArd9;XCgn_qRwX)a%Z3PVV*8Y+yjyF9j
zb~Vu<%i+nd6++w%c!h5%hM<G}H0tBxye%GM-q?WI^iof9O4q-a7)4jm!pg%fyR^Cu
z`1^c<PWG;~5;;8_@0lY!tfQO;S|cDL7>gQizJc9<<l9q2m|*D!4s||>S}GtNQXcyi
zQ3hDbCQ*jZW~p>Yi%7Rmq6Nyr6Z5Z_>+e7h9<?a3{qLz{^#-`*6%RB=O);Ue1cZf2
z6m(=pHtKWDj&{jYh`wBBaPSP1hpR_Bh=g!E?#b}Is#A0xpEw((x46c_Mn<Z;X?4a-
z$|!9TTW<1PnM|D39d8eSMhXTawb*w6$@aGEl_yMS(MJG>*iSuKKlV)Fk_~*1Vb{UI
z<e%-ilZ>IXndknMD8U|bSAK}8FNN<F5#4GUZQ1`?j<n?JVG5zH`v8pH(rDxm4z(~Q
zt)_OtZKNES?VGv-vl@Y<I=b073Hz>_&EzHci0@9%>a91;$>BP9Oi9E}9WoAI`nL%{
zU3+>(G^#ynl+vudXhvSA@Il9?7k4nplWCLs!2S+Kt#ji}W~*vWdPvSxBopr@WE|6Z
z{g1MSK7*r7J_{H-%1Q1-5br_yQB;g_9pQ6gF~Yyk>*V`I$IXk=&d!5E3mb|4tGY%%
zT09+&@G;?`IYxC0$;9%mt#0<`B0}U}^A&$yk5TLP!INqG8)>iB9`Q$antm^VvnvL5
zE(tihEyaf18!(3c=N$$B7h3={nIMgAn{Vq=d=DJ`S4$i$jkD6*-!5B77seprxaA>m
zvX1`QlgfV#LHO*fC$0r;@dE<EUsxEWGDWH88RSn!aY_vl2p2j8Yhe*|j|5Byj4ApX
zOWk~2v8IPL-y?Vx`G}~5$8|%G1MY0BPtv+lUAeOV)gk%ZH4DxE<^+#UNNrvVzzb0X
z*j$etAD6_1h$4JgU=?`3^n33t>q4;=$b6)^W>xQ1W>!cqRdgB-({zavs;jG9BDWs5
z|8B&^ZV~7uhi(`JhyR6<#DL>|1a~I^j$Q2iK*9<O&X?-(m0tZbuLe`7ukR>C(eS{(
zPME1T&n{Byss($=A-Bis`Pn8>7@rfw!(2HpMHE}oGMQ#`ri+!Y41~s!o>!5)9{g8E
zq1zxo(izP?p9a32iT<6;^qq-SEm*5bv`0OJp#vyYmCfi@cod)Z%ANnxh4!O7g?qfC
z+2a4lK=*AcKqdU}0Ol)=Eq(J8mvprj9%YeHhto8kh?u<c|1fqAO~NSAmMz=1zp`!H
zwr$(CZQHhO+qUiMJLu?mgE#2NQRWZG!9HiN<pQL?DJf_)t{8<ad(7vyo4Cm33{}D5
zMZTHaG&5$+$g6sQXQ?nt4cv99(nUwXg6nOzs)S(!V~s>uY~oappkI*~ykGU!6h@|a
zFm-th$!#)xwVFov+*gcQ<FbMCp`U{_srtPfqyu(ZdE(FV;>jCU*kPSBRa?h=_oE-x
zXYea~8g;8r^X+<?9=@>R=3`RS11FHQIH>2$cKrS|$O=0oKF+l20|%I@uAEH1jl6}C
zDlnwh^?RIc9|ySwW-v5PJ3g)O&;^P4Q+#VPvM!AkLY=3>MWRXEi25m3N1E5HSsNr4
zI*?oJskzkP3;!mVRwtYV_TM*jB1EV$z(yTN%T!Z8zc02{(|0D+$ui*27tvvF=2UZ#
zlqzIDt&JXGuy1h3;Wl#69K5aa>`fcg*snB+S8XkF3MX}R5T3}W9iD*)hc!5i48&Vo
z%a@DlqYHi+43@r2)!FbN0cK+4i92A<z4k~eg)nQ7Z(fj8AGuvmr^|P@V<&l;D4llB
zzsE!tQ<9C<G_~i1z6DutFWDB}t-Z#<D3~3xlBKYN(qTZkK*#}ko^0n3Gb+XY%KG_)
zK#}Bd<)AMg%&Xazrlhre5ZVEQr|G(5i4r>XN*;BNOdbVLvl+Kz3DbDi!suSPaRNn2
zu=X~a$}l^mKVPId8Gm)}4V{NU;}pc|iS88Mvj&4a8#_YIeE$O$>2{jToHd^RZw>l2
zK`gu2aZ2;R8{8BVt>vCB1kIXW3MWw>##Yu^^}9<SaSJ84EhqS-;M@e!CUGzcv;bzc
z{uwqfb%y@%(wnj2v(SSW7Ltlg7TQEuaFv#wpXViqN*J{v<{k(VT=hoMwP7Gn()V3f
z$qi)9jC=V+he7mluzX+9ciHZ9rs)WTLdS%{Iru<T@#%#LHE9^(PMztrF_FhzS;21*
zU1hQ~N*ZNXx);NXJ1Yd&%#VypL*dkY1`putyv*4BYyAW7tAg8aAm<(u-c$i~6Ye`N
za(ah1IA6dXHB|v*73qScqokl;n5uH>f|F5w&~!e3k+!HMhr0`gEPWK3d^)Pr%fkQ`
zgET|AwP1%?XW$g4;&f+st7*?i2_mKdES&^Tc2Sa><MW=M8<-T7tEfebJtu@p$X7r6
zt)uWE_?{w0&)7j&5`In&H1h+F-;-x2+A@~8un2|PO1E014|~7p@ct6c7<`<<QUYa0
z_8!SmNc8YZ08Pfw%BLR+9?9@6N=qlN_!Go050A<}e&MIZKwf&0@fduvmADkx)PGA7
z=^IZdt$%S?TSR2`J?;4MUlpEiWHFRt?@!6{B$Yf&%f)eQyI7`ykYCV#oDIbhydY&F
ziiEeFe2s%yJOO$Zy!QDo<{{vF=hmglNOjLzKcj)6+uN#5?v#aQw6xJ-o-Mk(1fb}V
zW1Z6;E2d13##+*1Y}nIRn*>Q@qWsh=h0F;KnSp6IGt07Wcb?r97FLVrCD9Awx9RBw
zjo4SjzpdFJRFXY?aIvCr7`)3N4|u`Kv087Vwqk4@$N0*h7gh0t2{ePqgft3~8PJ~%
zrFS3|dtC@k*)S?Dx{$*ud&YgmfRYy9XAFwL-cf^rFx6Hp{T4@MwS{>&d@LyOG}tpT
z>t=46G+2$E>V6%FN!ToklIli1Z??*CH>*4+UpXpQ*c^A#Z~tHIho5Y}X*l=%xcxqT
z-|BnNLHeQtYMZUw-v=Yiw5Bhpj3Jf9OP4~X?uxbsA2u4VvM%_CsmfjJQQ}>nF~~$L
z9ZdBsCDxZ*(70n2*DOK#IYyNZK=FaUcz*4kn-yOmEUEnE5B;Jr-9R$ur^c}(D^vN*
z;#OLZ=FN&J!7*^bVaPZepX?Ze1aUV<K97}}QBPIhY{!`+*a1~5n2UBV>Q9T+elDP>
z8xM(s6b!$mhdMevtQ5@HCEvbw`Og<ErhJ9iN^7@>mS}3t4nE`q`%$Bx_wpAn+2+#f
zwa<FlzFxt>j2(U=*wbFy1dcz*jR*!qumcxjN8>9X-=G^URHqD?@`0pu|2ACan_P<q
z%r*|p0V4yt^xXN5?Vy9eU*)9WX&O2&NatFsKL_aJ*yNy}4tv6?3j6*}w8{{t3ca;U
z*|(LtiKiqAW*YEhA)to6HtvN4Dbis2Ne_f7e|H12<+!ou5e8?BWv!Y1!|egnry2*_
zoD85dHuV%A9NP@`ZT@9El?<YM(v8@v4SnyPLA4wj`!;*-uirYp9m10G#9d7qg>@6?
z$P&)ztL~m@NUm{1p5fN{mC-IkZLMY^3%{OZ%ctm^ySM1G*HWf7y%miQ+Ca|x&jFa6
zyO4f94}sKN1cTX{V7%qh*9$s_{Tv3<PB~soAUenSM{tB8XUfq*d6=?IQC_p(Ysa5u
zNEaZI;ji?g1~Z3$&@jWIPpvqW+xRG+pO~#zJ6Bhs-EOrC@SsVJR>+4KFF6yTU=zp{
zgOc)H<42s_4iGfj`3`wk$>XuQu8D^GXUM}H(FFkg^{w&UQ}h>O8<t=BMh*H+Q}$AM
zy|+(nne5XY=p_X+f*!<61e+(Ttu6i1T1fw;06;A5s&NxmO~g$K`?AW>PBreY#!z}}
zou@@#mPQU2An(L7RPX*9H`rPEq*1zRFj@u1m*;WKA63dfvyfgI@is1>ZY@hzd2wzY
z4i3oKKxE549cvVctPC0ZGa)8}*(71Ph69t{(bTeZjy*qY@UdMVzH)l)CCqk*(tc<q
za)Q=9F@4+%g><J@zPuFTf|&a3n<TgC=cEM*x~d1lm+Ff|)&3)V{+w;vq9pn0nkc;S
zzv5br=$pICKvAv1qkmiyyk=?9LnWFgNtI}qY>Ot@jvL2ptqp-qJ_F70N6BquZaeV3
zhwG%5NR3X;&0p%V=_N>Y9oV1IF(R)mJMlqn`lpCJ<0bI$o53Y`0fr*7g7_MD{N@!F
z8sLu5f<URu-dLxhT#hvbKz2`jV0+%I0@!7jhKo(Q6EicJ<GV?qg>VMI>pqphgTUYr
zrR;S3dw!$;$UUC~LlUIhCbwmiVn-@X*$5)`crI`KJUf>1BEksXK?3@-fYuINieV6z
zZXo%SopTS|l`efU-eofihB@_zuS7R7M20<OiWvu$tSy2)JEeEeNpPWu$mx@d?p;%5
z_w##C_d>2p)iywODEWI_a#u9U&dgFC00wNgLJOPnm<VU11j*zS#3O7KP)fD_)h$!F
z{NrHqWD-~=ET43uY$ouH?V<Y%1t==q=$KR<QIp&;>@8pbzxj)rX_nBg9^m%OFeng3
z&DPWdwM@*VA0J)$3V|b3*6Mv=It?aYml?qgL=!A#L@A#wvO0YYY;lo9@AVzHcz#i_
zO4^~v(%K#)n5kiUqzcw7RbwwP)z<M7&ksgu+{A$jLkXl+klg>Btm$W(`!A|Oe$Vf>
z=4FdPNn%@d&Y_Js10ucVsM<^v+dIjBigoX#7#=sYowpl#86>=%V<^xb2b{C?xQMG=
zK0!A<HyBEPW#YyrO)d72L8VGBIHiC6f$+GfiERykmJxKgXGB2CUf3cr(Un9d-1i!Z
z>jJo;f)}gH2e`}QX>4ktJU8&*_AMQ0TCD-q8LU2Aa6+eqpyv5*Z*bydA%%s0m|MK)
zq+(GIHhEW5A0?Aw_nm_u*PS1dwMm^$^065Ff~zw~Kfz5pscR=*q}6d|6xP+ZS8EYC
zinz35V7R#7%UenYvT{*feP8Be@wg`hPE7@kv9Oz9tK648(NYywUhfFH>vLW87eO;i
zbe?-DUQ5R<$7`*<J;z41cpem_Q&L%q2PD!ikh+5}XBZ+nYzum3IF7)b>}=tFe18n2
zsK-t82$3lket^Lg`sq2ipaIm!!Rs7SRU0R!Gq_;1&NCPNF*$cQQ)78lc10Z$n+l2g
zN8b0U|5D9uxF#(f<IQWPkshynd_7!Cz`e4$fKgnBhA;d@jm}k<#!2vKLlp&c6SVse
znj=qfX*YEaFSz5E^x*YiT%zP|&UdlIS1!q$Yi)u*5FRZKO-#78ejDzg$TF7|Z)g{X
z(sS)Q5^SqX{dezD8L&pO(pA#qagr0%zzwRkgANM{X9R}SC(9%+IQ;D_2|oCRFU9C?
zir~M+M%Md8uA1m+&=z{Zn~Hf>%V*3B?@GiEBrF-rnuh7}8ug>DS^=}+yswLiIieV0
zm67hjOK&)-ZS<}Y0LwowPbvK4EreMUefbm1EpkoZUyd>`O9zXj1LZ0Ah^76662bQ1
z;F$S0C1}<bFVS}M3N{J!(JfYEG0_&(#6?@}AB=*~me?TCgEcdSzQrT-u5X2sj8x-s
zjfw;JybDyo0ITPJS!OL4P|2Q<>EYg4qvb^qz8E&&TqBDL;1lfWBY=UR#A)S7xLRzy
z6tlsu%pzdpW+vtyN08-I5Eg<`Wh8b?ZtZApb}Y1=+`Xofuycm}x%=rbEt(2`M2R`)
z-Av6IgK_^z66@~%Qm+PWiFLyc(m`2x)fOk0iHqFttX^75+kKEb`7m3%sd5Gd#h&6R
z<EH>6%}W=b(rQXnPM#nnZ~#@?N_As(N!XHr_6um55l3xqf2;|tpPl4<JA5F*WVc0)
zo&K%$jjRR2*URZ}A`lgfdf=@1^^~r&TCsoh^p@xs?GbA^OxjrGPKhnV;sNxE;h%$V
zP{Hrq(>tdL+(SnGpjyRX+d`&*4i^OUKKayZ?OMFh_7SuJ0Or{^P5XjEA4YNNScM_B
zIi|nM%@U`?AXI||^JdH$J8Zg^N!VmV&#tkluQaB1wCK{dw;`*?{UiszDV-APa%;D7
z1+GJd=Y(%#zuMxfI7PA`jo2Dkj)?y>660P#G@!*+jz(j%1F-i@X_v;6(wdZ|*Y7$p
zxh04^TCN8jjJ!-`VAE-gk^9PSF+Ff$=T(>5#|sl`eY3_Skp4Wsxj7V^H?bVXk~4Az
z|Cn?12j-Pk#BN~=0VPLH^j=t(vQVP<R)?Az%gXy~2iKn|t$qcv&QosNK1TQ~T25Na
z<aG4XG6jsBTi$hNHfy3^9fBjB*u8nvQWdH?FAEceQwJ)~@@vptMH5sZi}7l}8nC;V
z96M8Y)j!6JIJQcq|EQ}6*2twfn+x{L3Vv0KCc$qo5aIPMY^jTLpZ2VziBYtEy|*QW
z5yeQu@^(@Sa)1s8Ilu^WzNnT`<ljyMCzteet$-M-qjvzyQf8s0JOx16rlvWYrvFnM
zohf7Y&1Ge?+=V_Wo4G33ZMM#g10@(;qFh+N76)WCFKmA?S-CydJ10y;hL>MGl1TtA
z@Rh_ij?}zi>5HNuOHjWFWGJRO3fyWJ|1ut<B3}sQul1-j$P#;P!yek5k5Cc&2tWps
zO$Q#=XV|KyK)23Kp3ST?XmM%9A74Peo6e;!#MSsw-ILeZ_?&=`nx$`uCd6Q^>WkcJ
zDLqWi6IeM@NxMc_o$!9`#YT#OPv4dyVD_EblYPlq<PWJs_ij0H=^L&IM4vmZ)zGmm
zYBYP~n5dT+Q({!-rBxZGjnpF{zZeYSh|ay~C&CK`PZcgQx+Uqhjqzx0b?4)h{s-wR
zX|LV$FO3BVIXhTir4W&>S++_#-#%vFEz}9JLEBQVnL&T$T(rvSOA}RxQKmqXhZQI2
z>n3E03=NZOJIPj!D-(G5ANS?&U~IvuO#nrH)-(ddoN0C5&?>gT8!>nHy=7hr&vK9`
zvYbwvxd0{`_mJn61L&vccUPkd>eh{TW+C^&*7#+_Z4rE3n|`;`f92o>CaU#f`DDJI
zQt8NR4DL6TQuxW+`Z%S<XO45%DRD$VoLWtMa7OQ07&`<#Ix5WfEdcFyAvJ1ZN3Wyk
zZK1*&!sf-uk-=UPA|`j@)!rv`Xf1JlMzGwcqD7m~%5oGLjolnjq0b+L0~F|J5Ex6E
z87tx=4}%azuIB{Fxp+C*vtdtm4JGdVRq{}@X$^akzLo^&iQFW5HATN2<suq(<eNiz
zkfre{NsWEP6I<u!P5eqFyDQL4`NI5eMS<`lBm}(aQcQ|hllWrotZAj#6JjkdXp$-+
zaI8a(JRAS7H^9>d9Q6AXlRAg!7-9zZvXc!t8Z+AEpoGj;Nj)ff>6~vNadCzT32AN6
zG&B`51_VoQd`AFsd@nHl#YydZ1dns%0S*7t$;;Ecf#!_l{h?F_t+yiLwrg7AhNu&{
z)Q3U5k5<QvV~H|8p$fzbFD=QOPTZmVN9j2JF=f=dNLP1wp7@YEJ@&YNCl1CXWAt(y
zAl*nW>|Hyt0RkazYN<B4?yq`!SyD)Zb=<V*J%W*GTD_tqP;&cR9hqbZ`5pE<2hmQS
zOpw$+yIMPK{Oj)<J!ML+fufVMIB7ioOVU!jOpn>?z0K|VzM<<tpAFk{y*&CBG)ppO
zsGu!nTNJWa|Mv69jnuf4D(ud`uuLhiY|H20tn)t{@Io}$h(Ze1{74{5$#KMqmv%ym
zB3g57?}%%QPwe^t6i2W>1RhlDIu4dpc2Jc1JMmtADxlgZ1GKk|*gMk|wyc07W8zz-
zi@<=d$vT={D`6h&_hyU#W^Mv^g@0SJz1Y6y?w=&<xrmnb>02LcKg3=xL~)+A=7Pd!
z@*Pb7p>^?E*$c=XMcCck%qY@$WHcxo0mQoBrF{V#LW!nq1A_lH6D5hIG#g3a%c1e{
zX;up1>k77qgKrQFpNKy$;XurXkzzCfWg4M+p&=YG)}Ql>x(jcqg5`zCpbO<cT#mI7
z_xX!`7~(YMHce5XxJ0O@drip-S~&|tyM>`G5AAK`>;ag<vIK9O_CTTx@^3A3KXgw`
zDF|o(pnMUGnmfr)Vdfk@no$cz;<x6HnjNm;9m8R@0Cp@QXv_o-$ZHlqc#{6tZ<8N+
zqOU)x?1KO3cnLR=*WsKlvUA0w;zg3`$M}1VP%v6!(KzcE29R>FnH5w3Jm>Q0GQlwI
zB$A8fM7kvivq2;de%IiT;^sUtyxN{{_9f}eb%&P@iI5v;-x>tE9Mo4yL<@9}WvpRL
zZMSqEUJ-#7>kT)7(Ua*@CTc3|!Ih^@#!A;`1qvFMjib!(?@qf!YqUm%%83=y9Ci){
zHxzrItQ*dwbJ`az?I}O9^PrJ1gFtqaN*LwnOwgH(U63sa$y&oyN`c5zDYBKbTy8MY
zebr!Z?RX#RE`Ov<wC=N%^>dLwrS64{U=#4?Ij@Pt_@-SCXf~EnL_PaUazLtEuS^m&
zNH7YEI?Cj<6rOF}Yz@Jf7RoyLfGnn}^kd^mv>%v~12M63c{u;Pkf!ezfP)X}{WPii
zR!rjVM5<GLN*rHSI5C~`N79HH6?UsabfR>=_$|!HR1RW?ecZkJRd4h&RyFEtsU(fU
zvtb-f0?;UQd8oS5<UbpFncAfOiy`BT%=}oJ%bNlw-N)OA?&5}7^8<mZ61G$A1sl!Y
z+g0Cr2k}_fK{OGE{d{nX9-7B-eve&&hsrD`ElHnlDB%F|OS&i3-f~z6JLLc4mcy=^
zl<-9Od{z*Q16b5S$R}2zzF7|SD&k5icD5=6DKv!obL0=S=a9=xZhgV!KR-LL?M5hN
zmc;pnjvW3d6kW~PK!){hj<y=ZPzR&c9`fqjlvi|{qhOPg?|Zd?TkcANQ#eVtVDiQQ
zxdD*oNX{7{D%Nd>j0Z_7B)O19pDV|ZLo4E0oo@;gS`k|2uZixtCLF4Z`3w+7;1ZM0
zr}?CT?Lt)4Gw`*DjDC@NI>3+#3$Mj?gF@>k>(W5z>jS5G?KCeImC6VbU-cRzd=PYQ
zh*pUd{*yupmBwK#0u?aqSWO{uUbWx2Yp7@=aNaVmhag|`Cy@OL`K*mw0vuByTL!GQ
zR<0MeXG3ABK`y-IrNXyeGXig_V2SJZ#r95rQMlpjs);iZyI!w|fU<n^Xi>hDA;!as
zjk@{<`^owmE_R_dQ<?h{J3LRo^44drf@8z54oa9%6F>=Hc?iTeRj|NMhSiRmSa=ix
z8cTgjrr2lDPp6-V;l>LYI)MXz{@w~|oaRs*+zPC9xZVl>F&Bk~ldwTHQHj^XSj9d@
zWAE1tcx0Q;Zv`4#v&SfChB^zxYd#~TS1bMoe_}`&_F`pU{(**+a4iZ_%DZTf^Ki+s
za_C+K%MW}N7ca(FN2uPu8sR<5(1p(^3BNjCGh9kcL@FL`K_7_lu}*xB%MpE`S%0nn
z9yVOd+~rSHup2{UVt(GgHNc}5AisA1;=up5qu`(~MjH*3Z*vaM%jk@e+BB2?gl^09
z+t@NXf$|~Dc{^LKqe3Gf1A))4RToAfL0H}M$cU4?J9sTP;4sJ$Pf$xBVJoI@p4vDZ
z=doe+$W`RZT1FP-C(QzW3$@G@{j%Or$1VZ73ZtA@hMOuubi)|1>Ci*{urd2$`0;i?
zIa35`az^2IW%ZIht1*tnt(%{Ow&7cEi|YTks(ubS*3)^s(>b_T@xcw6glyAb!||a!
zPW~2CgjtK~9ok_lx}e`Ss0n7E>*}EySH|P`(`A0cCR6RYCn@T5_mS2(TZ89Lr9d!}
z7}{hAzNTul(r<(Q?_$lvq>AagKB6Grc&%ry?aE@yV@lO#u^=?AIAtDjS>Qo%PHJ&t
zhoS*b{h$A%?~4m3%vkFk+)PgjPo~JD8#XCMP2uMYc`<BTAtZNs82!4gN8XshSZuM%
z#*qG??rk5#0mEm+gvF7u!wNj!+>3{qHp{()$xAN7Xu6h_x|7bDpUHhlkh$MPbU8y|
zF4wELv8U-#;=(TS8}cjwgZ~sqt$<3Z(8Mf(-g)bST!|a~X5on`GM(*^;$D@}%m>-=
zB~4bR;<K|zF6G%o+n;&Vl=&9q9t_a6ku<=06;p-8MzSsCE)<3@u|-R?xglz%56-=D
zua<DOF`LM<LnfTdFyHN?nCoEfkP@JImzKc>8znnJxp5m+7=#Y8$at&)O!M7pw5NWE
zYw(6GncUD<yEzCW9d^@}Pkh%TUn<;ipBl69Ym{BzXR+-<fAyg7U-0{p?4aL`WUmI0
zCsYxQ^XByZ@B+KFd1DC^c%}gRgRB<lTYAuDuKB6HYk#M3bv$KX7f)AGzqs(Ow1=cM
z@fE*u7>N{3GNO!e$ClI1z014hAxx8TR&T_8tEuc1lySzoGi(w0+@Ngc$chllU@2l`
zjbY8-tB|3YPPKZ2I+;uWQK-lG(3*N279vjuGmC%`>`tRZTi!V&|7INfDIAP*qBOK9
z$}~Lr^uLHZ6&mj@k*I}94FOowDsoBuI~ISu&94uJker{VuqOV#VTk2y<zp7(%@`NO
z%$}7Q-=X>56vCXv)m}K_%#Xms?n&LND&88c%!^gh*v+bZ?f<Ahb#xLllxX+4;2R5v
zYeQ`NZdS{=>MXSEuVRPxefTC4B_fYSCFI)w5n?3$OjYdOlSS6lebg)rJ+^bH5GT!5
zvC;K2-HE}pgYgd%_(RF@Gie6|;ExF_DHFZDfXjv~x%<_AX)r7MYK$5APH)E;%RYQq
z(%_JWm>R2q`=fh|TmuGY`Nr@^=ajNzs47JSE4~F}jw!8KZWM|pcQPZTs#T3G420E_
z-o^ZD+~79u-^H+j3e`wc+N*B#r;a;NHBf7Q0cn+iZqajCAhu(kMN3tL_#)!=@%g>~
zm8bs4Ml=7EH?r9|c%H>ADu##tir;UA$C@{O@IIYz#OP(E0}bDuqofp^m*K^{Fze0W
zRGL==C*qK`aVz6dm~+o+bXGTvhC%2IXs%`*sCC?)Qd3IQ0Xx`zHvqF{!PgRgEXA}c
zumry<Zw%&h*la;EPac=hQV6xax(CP*l^&XYl`gHyzz1>azF9W9s#ibdb6GIPmfnrg
zEX&FbWT|WjNDxDSG%AbRKaocFYdHN=k1--UcjA?IJ!|Zq&69;V#OG-O5-{@HZ;*A&
z60NC6J|NY#Ji!rLSk4Z`tU&(~MphZCh{+)}|C-iAOgm;XMv^W67dL3Tn3aKKLj9*y
za|C4a7KR<&hNJ5)(+5+jYfbVrnji;y)tRY=dOriKcP>$aPN`{N1FfrEwKU1d$)vjU
z0U{ADT~1S$sogoCB+@zNjWI(m=WZl)#jZveT%L7fNoP(bMDJV;+jK)E!N-4ATES2V
zd9cOlqoksphnxzp6L5SdC`a1@a8!()3{YY97loHZjkSV6MT?ls?23t|s7b>U@=S0&
zXCLgXf0o?mN*3-+emP;eBjJ=+uCy95Vvf6+3Ypp?47sykap8SKK%5a^eemrBNu0u%
zCm~)d!spz{Q=Ri{k6J0J>^BFq6Gx+iR^5s;Bf2|+Ycnlk()H3jmw2Gfo4Rv+d#uE7
zO^ha~Zsq#Q{rNr44UXRV-C-*k9_H&I;b13|E1DjYag4|%Y6b(?HheEGRapR4@yM?Y
z;4e+?;BI5BwHqw@?$zc{XA`?#qxZ%+HD{!kw%0YGo)4^D(@?CZ6?04ltEj<k4Ztq8
z9S3I&<XkiI4k279p4_sE1PJ;l<I}xhTubrm=-z?;h|anbFpXJ8YreE|eldi!_O5q5
z@Pk{Ehm9@YaW0F+6r7wO*Owyb)2kTyk#UjeFd_y}6!*{dVLFPXb<(0^k;l5MJwd?1
zh3i{Hb?VO(W<bOF!ahm_+V<#rSO;S~Jnsc#sw!WfYIcWM;L{3jGl$W)VN!+YPrTnn
zJ?z4&DaQ}peDErg@EMy%o%Iwho{I$_!Z6v8&8$E^4be^oKOhccu5s$N0VXnM^=nE4
zYFJ)KEibz|i#^rA0o%g=lrc;SI^DJ(5~6{tb)#c8w|YzP)vTnlK-@<?1x=-B)jCic
zuXE<`q<l}S%&2z0FhNrtO_83n@y{-Kd7Q*k$g*rashzH7?(yLIcqlM5)Fyr4!5lH2
zJ5Q2WTR2sJ_HD}x&1Q6GP(eUg{9b8;JCm2MuHY*vYahn7dDj;0%G;zj@h^9Xb%;eP
z7rriNf7Z%&yC&5Gq{^|J7G1J2MMLgN_w@)&bfF#;QJoxa{7OQ0FgKnVJyRgPop?Xo
zhr~9M#YtuRZ!~c|4FB%2s5t#4A>&CfmmK`I{r=lM;F%>n&zNaaCM-CT7H|Sxuou@Y
zW*9_Ew@f%44NA6J<{I?$eoNj?jB*C&779s(2#~fvr{yv1OC#-5*G?B3F`m)ohJe6F
z2s)5Gl2cxkhpGBp2&c)@DO;tSOR}SEm2|Fvcyt)0`vEOIJ9t>>YC6Ne2Vv9N)Yx%3
zFhJZ?bYrZ<0(O}yjg8N9y?9t@1r(dpDp6P2su-Ee<P!sFl`Qe1AvXLUAzd{lRDmsq
z0>!jT!x)q<=4{AsdO`}<4$1!M+XZ?9t{^<%trRgJUD%<W$GLLVca0mV+-bJsBCF&T
z&lt8A?tla|#_9AI<+>_`XaH<Xx)DNKi%_1BnMhxhDPDHWGP_h+TKz*n9B7J#B<LxM
zNC8#iFo>at`xg(cFMjJ*Zus<!-=X(nJz{haqJ+Wxsy#R7g4<^#-+qFpsU*eAR&`M=
zK&3=KdjSYtfnQVdS}nQtIL0$kZpZ%TC}P}^kvgGCIFVCiyu7Y@ou8jHokqq^=TZ%c
zQTW;QF#z)(Su76_vRH_0X2M{JUYk11%uP!chLQ!Q>)=@IIn64CPMTs@8xtYz*-Ny;
z<q|<Zw`{nu9c{9L%~G;ENiKn@2<M*jf2ir6j9pumY|XGIxw9$a$XdzG3a$y>yk7Y^
zP#>|}3j6KaLo3{QTpwk+w->oFKh6@<x3A%NeTC78#6)z`yXf_-G(|d5Z4**aq<ysm
zUJ%xin_EgVN-_tOl3Ytq^NtXiOubxMP?k|mKT_&-_jc)}y`;!A>Y~~3ByHJ2P4SeJ
ztwYI1Ly-=UcXego%q9%wSc1>jD81l5BUu=q=uRCn-Tl!ZDhN)`@a)&Z7DDjLWLM6q
zwk*b0kq@{>*>G|w9CN@bg<hnFQad;^R8B9Y>%V7C+y-b4a1GL1bn@6WhLC{?B3|a`
zaMc;-g(+tWvL{?_Nxo|!KEK36QQ}$mF8E@#dmwiUGwPo1VzvQJ?XtPMXEnS+F=a}w
zeLODxnd#us89B2)GSbc)>Ar8G<VOOJipOL4T$4K`->^>rTsKLUM6N6N+@1&2ly0K$
zQZ+oFfv0Xh%l+gC$?){)>UW26j?lQ)#-By9v^{d}FI!c3wz$EB+3L%hP<fKIP(`5j
zl-y8)gmR*dx$)t5Y^YS6yW7`;YG$Sk1GANdNlTf*@BsugPJcxPbt&z%Bf@TuL3SB&
z2^kZOdEK|Ls(wa3b;=_YVM@3`=7~-2kx)^}$yF^sB4cR|%4Jy+FvafIP+d3Z!Ec0}
zw^=MR>Qu+eYEw#oDc0ohayGB8DPGF%l_n5U1S+fqL&UasFGB|_C2P&g^DI3DwCkp@
zYq{`tj~|h#-yPbaaMk~e9}+QQK^2}Vj7b9b?wL@b4UtWXCxiUu6cP>P1rk{yNlr1!
zh7e#O{5{ma=ZXeKAOT!U{%u5n!Nb=vWgE-vO;#2W9b<Lfb}`$gxtPk+iyn#1p`1ud
zg%8Abxaj}BYW*KP*+trW^>eYt3fCY>>Nf2b<yRuzow2(NC2T~$9tiQxQHO93W|ZtQ
z8X}V<f!~5Idpt<7a9gz+d-7#C_v$sb_6JWH>@&D=K6zyyfzO{BqV#)7OKb70B@D=*
zr$+snJI}rEYuqxlyAv$;<;QQTk`y2Cu!9=9hJsN-MYKXl_HQ+!xk>*T&cKsa?+>^Z
z3)glURI-l-J6|~Yj+O)fHQ!$N-;@UmCzP}wYk^7>YnZ0QRC!%VW5o&?wpSwaY}*ds
zpA9#Jd06)F^){b%;=)AQ=Zrt{PbT-r*QPQx?o3+>Jb6i!Zc~W}%;NZu@|q+(&UiV&
zU-AJIkOMyS>vv|h#HvX5HtZL_rOnV;>~01^Ssbs`^=~bYS&g&`6i+;6*I(XJ&ckqP
zW|tJ0Tsm+92n}{XMYP~~!NF_v!Hh^qdm~Annsxi{9yIRHcuCuSFMt>%(yg}>d7`#a
zAYm;63UYig3}*DP0xP|kdn<TrTgGG<uJ@oR%G+CxPDR+`$#_u-3OBVaIhPk$-tj7n
zm>rK5T{3>nCx<Re9h6HWU9_hBDGq87<OAQg&t`6Pg!pfENLcEFT3|qCeKgNg{!I9$
zV%GY^BfcE2)`TGw3TLYX<n#O0^`9>f$s<|;v?fMB1i<&!Y%~hvfn;~;Y#PP*iTx@J
z)(1+6Nvy&x2qbh@a&VLaB6`Jya1(of5rKR>6DsB|v0HOOZW7Pbz^OQ7>jszgYQBxo
zfTV<xb5Rx`CkHzHv#ya~I)U}s3TcZrFL%;VolGXOhGkr1-dk7o-0976&*gA^)TXRa
z7@%thHi>*pNj@QBnvW}fnJl{$fOKkh)i%%s^|)`LX>S0VTGVy#MVaT6H!p8hKg7Ss
zPvUCv+a9u*>o}R2V#mxF7u&2FZ&R@{UZ*>0o4`^RHe*ZXnl6C2%4(;)Yba(lsr{#c
z5#fDElhh5<>#U$fexi91KER&WW|^MCQSpl(HLQo!x48>IvYzB=aTD20IVidLn~&tP
zGMKzRv|*N*m&H-Pn-tzr0thcoxa!}$ig(AeT`<GYc{rdKAiXNJ`wmveLxOC_#L0E|
zm<@%JHprX%Y+NSv4fxQ(ISt!YGTw|&6dT)cj<HE+)Z|6%zh3?cLP&{HJ!N%Ew5QSt
zCo^Y<1}A?sg61Atf;qSy{J}B2ZGj4%L#zvHQ2ai=<EE%-2_izl#A@I}^u?Cd(6dw)
z6F7!lAzCXMBPXN@Tiw9%3a>3;a1Wh|%`sKXq)N&JAmq$Xmzmc8`zPjI)Z~6gz-RAL
zU+Rn@_<c;SGvMa%_AkUX+~RCP@H}hmD(F<;jjgz2HR1+r(BT%l416w!#aMr|bvQwd
z)J!wvW~b}aEXla%Q$mDqb92JbT+Kp_v>mT)k~K|5d_*Fb7CKH4?;dVIez}xkCCeEB
z>O!s_!eG$gpb*4eT~aB+-bHYr7vb!{S$^D9DflKnF2O0<3qpeQ94@%nVN6P_cj7j5
zx?E<=d-`Xj&{GNED?qR?wGM@qzJ9VSt+j*GZtr4y!SW-D^~VgFMZBdx!C)@eMoY4N
zB78eDr5DT2nLM3-sJm1EGg>gr1}#Gl;a^y`mAa9vN#0|nA2kL27NDY<Fey=Xdb$@m
z>HUMhkbtH>vUl!kn=un;7oV!HA;Zh6^m%j{ljzBv2MsSK+9T{6Ukf>!^GB6o{UG5w
z0D*?H^`&1T!hnKs8XqQxzrfQ>Y)&?Iy?2$gjH%Krh~JjH=FE)auOS;oa_1Mhh0!6&
z^<$0Qn^ROr6zp$zP=Q~8eEwc+BhPCU$h@RMjl%=f?<A0G(6WzarEZR}`pIi-sbAK2
z6c!cuG<l{P+;;*yTb8TE!EJe_W2G=&rH`gorQ~U;MS5+s{Z?J+$vR>4sde(|7lwdH
zBDY;_Em{PW=*!}dRk&uXppcAoq~kKh1wyAoVy2lMdGZ}{kZj3#OxwmV@E(dzpj5v}
zNaS;UgMCps=UryKIePLxzFK@sJ}1*@UJ^k+3?xnGVWv8!#y;NRN;qPvxm27X)EV-o
z@G34`Jz!dWpb&%R-e-l9j$!N1rButrubvmtq=`B7*DcC*PH(Z63^Ws>Sf=<@tkY@E
z`ney)S|6*CKB<L9PDlLqF?H~OJ8Ixj(h)Q&z3ldD2&3^y+s|rl$)U=|@T@{7(Lad~
z&qv9D%$I?=Mgo!)_X{mLUwH)L32uG*f@G(yAKJcXI!Rp^>I?455mMp^{>w9^KTQD-
z#@R71^()1z>Am)NH_>Dt2;TIPM)Kld>zur4{%FDLM)d64kd<7e0Zh$W7$Nw3J<pUS
z?tCGKWZ9+###rJXsLMl;0KRt+_YY%+aPi)KjQ(-r^5th=zQhzv`WHMZ1b3!kmKyE*
z_iE$6OV*dqkTTYbUV{v7AB7{X{m4#8MShx*t&2k{3)mQ1v}5foXBYQ4JccI7jLdu-
z8+Hcvxb4eAZ40(<X`8ZV{>6$%AmHNqq~CR!DQM5t{Z8;4x7lYf_UK1jq%TL+lHFeD
z613?55S^Yqlo9n{Hwg#&l~n5fUOI6-(imOWLvPj2?E^ZkvLZkct&xg{N|%}=^X5mk
zSiseogas~z-U($yt6&w(;01wprS{o1kq^I!TVC-gq`TcM?Ne^<Pt#88;_1wLr-Nx#
zV*EfdZir6vJGL$OvTLzW%_J#{PC8s_3dHU&;))@D{7KQ9Q5RO_0tB%*0=ZUjP6W*J
znXz@7wYa%T&rrl?!<lP3{mYOvptcah@wU!G=L4LAdL#cHEV^`sNGDHx_51ZGC?<G=
z89QkX8Xwp(9fok4^k{BcxvAuMGV>cc^-d_f3Fag^!$7Y-?0vKuoy<vzTC&b~JGO6k
zNA>==!&N%VNrJ{~4tsl2%$*N;Z|^ItZqU;*1|;jtox&Tgn6<eVmUK&uNhou#F-ie$
z@2z>JnUb-Sf!cxQWLr&mMw9vQ-DWEI8|_%1s@_xRRucM^ql!{P$QEIu=uC3$JM;?1
zpKEPv@`CEmZ^Y?PE&%sh(3`wWyU<}148Qf+(*ZEU%`X>4L@AGpa+M^fX0Zm19PUMD
z&DC)<Q|5+K+8JH|KAyv!+F?`WsudL(go?`K%DrDY2^)-=c?Rk5fIn1_e<$C~=~~2I
zv3ep&|88tZ3=$`@A_r@MM|>%WD;l7G#+<-S9j%dxb&o|DYC~dVpD3eBME#DA2M8wX
zEq$FDNF{ZhzoSU^kSG*6VeXC*iLbE1Q!WAQ;%`c*1M`p}jJTF4vDPIj(CpP%cSGhX
zJ7+i12ROkPY+bLiFVQreqy|D25MEv*`*4O^c%CD_n82ROa^Y2j1#YM$$3+C${beX{
zb<tdJ{s0yv^9uf#1~}{g)&OT={T~u4b|&`!C!YGB1#k{#hW~4n`~PrIHG?WETVb<G
z6T>bN(2Kv#@5DF<EyB>#!~A!g%b0;A!^n4VffmKZ#U;av#ls-}(@^a?&3^s<Y3{YX
zYI@yW-G2Gjei;<5tsW(|xHN!KbnqW&cW?7E_;-iW(%}O@9G`&!ebi^9KM&YLoYOI|
zCJ{oM!np=S{!H=Xfi(v5jiXfW!@FY9%KK-6gY-|q@1r6ep`rl;0ebW2pZme+=o<on
zQpwfR@CRY%p8|n)7%@$BwR;Zrzrx*zG5>vl)^FAWx{HW}aQxYWk8=j;>tj=q^AADY
z0yz4Pn;U@wo_DPK3)tWNK@CtI0EBf#KHR%|csOWrbUAhPUze=21M2Fx1M{OF!v%T-
zS_AfBgPCh`1pQt|V`o9;-vPM(Db=1Cg1<Ee1^~bVL9By;xcJ@Q`)>y7`-dF^@Tj=>
zr&2+DmNk6lfo1#mnF8;hoc?fa>+SXd2Nd|RYi+Ezvv+9<^bE**`Qu^$0hv=&I1M4%
z%le}(zqS>i4)2@{>`g8~!8A1b(!UouQu!xV!}VVl4D@X}wFLy|9Ncc->W|-{dH9BT
zq&E^RtL~0$V1k5n8U5AD0m1-pa7XWCoy{e=1a`U$`1}F6>X+B-+>u)IXnVlq>$Abf
zR}Sit!V_Kl8NU*+^CLijKt(|T@Y@0)42}kzxw-q;sm<d{?(Q9i!F~Ja=x77F!pr!7
z54h%s!ME0RrI0}Ygn9UX`~20s+Xc@|LDz$B^#iUFc+sPL<(<PD#_#04AKV-0gY0wM
z2Y7V@?BAW;@il>aZglb!?*66!IrMT<QeufpisJaWez(cW&VmBopB$nC*grr%0tt%<
z0}KZ8`~UfgEwlptses<&tErUdK=VJ(8RC~d=LPcoar&+Hxdy@B?=>*%;E6*6)&CAX
zpz{ml&kRMq{bgMEwSWI1e!C_AVUPW_5&VOPIEH7r!vFk>+nmINdH9{$4`{->2miHd
z=e7oX_LGU>_q(kI8%Mi7`0mqGX<r$_8yCDG^ov8ht_2bGw{97*#}4D0cr4rAe@hhT
zmyd6a;(C9p0op$V1^N?vtJh$ag=Y)<0w(^G55Pk^>r<i>w9&Tqv%|>CN9czFYkC|7
z<3)&&lSkN}`l^p?B^buX0lT*s(%FZn^$&af26UyRzuqIGB!SpZ_@Vg(hI|5cSN;<K
z0>EqOOMpP=FZy9aLIt~5{|OQX;9mVBPymRV*$aOQXyMNH8wkUB{R@N#_5aT>MI`VW
z&<!t9@ZY^a`#%|#_s)Nh-aLQ)e=J1U@EF$ziSI$f@K0axzel1#0SE-x*B_YZ*bnq$
zoAs|%mKv6HwKWVA6s0spYu4JmPxWwd*xu91t(DdBsOurtm-AwSb=Z;BXN=I!eco?c
zmkh*OO3s_UpF5iWO+Bq!4CZ`Dukii4=(N_vf?k59^h~$z(z5al>X9v>9m}wka<jr9
zdR+k@Qq<}g3v26~9Y_pKrOdh{&oO6hE=bg}1+Js^-<G65RyXv>a}E1D%<&rdegg>7
zdHd2mv$=fb%2I~|Zu}6&^p34MC(-?WM$9U-^X7V@5)&4a1HoRtAI3qN>b7Mwu|BHp
z92TIgNq(R;#?CXJsC38Ss^(HlZ&9t^hO;v)w4+lJ1Hn^-Ureqgt0WtrygrR#0<Q7(
zR#Xux$p&dwZ?iQg_PuDr?Q{Nfz@4kU$=K%1!I4r~)G&Az*8*Eu;^H=o(I<j&w8dib
zRoYMa?z6^ve~kFgEZ!qY2sM%SmJrEEiOqNVsMe_6-zM_@%&QIOUp_Zv&KW14-GXri
zACG0oluG%Xy_R>?FqLpPQYr}vg&)hhSXtHr!GXU>HFjEK#X&EiSvps;hb~t~cccA+
z*<=GkH*MDV;IvLx=CtzCU00R&_P{181}%DRR7P?qP#3nTQ>H^ctjUlkSQX(JPv)%+
zqom@C)mDg%>@|p@WMip#bL0Nldm5{bgC_6OwyY%)_pbzZ6S2-LNGkJXPR5}Zv!d7B
z5q2PZ{Z*&n?%Z`Dxr(p%*vT>L6Ec=NizYaQFrJlZaY1z`hY`<n<2K}}RxP=W8E!Xu
zVYFl8?ZA}|<06$kv*IrDhOrgdpybC(?5s`uxcrDtVON`}$6V*p6TH@1bu3>lqn*!l
zU14L8A4ETd%w5@&u-%XbGH>hF^8v7s*xW-vesMlSwv;=D3&~sezaLyMXMyzXf`IC_
z+n8ZSYQitVba2*Se@#8fl3w1!Lein_a=+~>Imv*|4UVqk3{u;k?0WK;a}7S9e{C5v
z=2cARZEtweDKXEUuM?sD3(Yj_^ZH%Pb%ZdC-&Zl2Z(MiO^W0kHDtETHQ`l*85I60)
zY##?43vcg~lbHQ`K&D&M=!%9NaBNEGpC&uD`Vaej#E&53%i${(jtMUMW#T7Yq`>-H
zD1+Sejq;b?D!NHu<erGbkYNGyX)AOC<;(UB)Aj{BVB2}W7PrV*modQzD(@-dRkpEs
zx9cb`!gclBh!6!;GgAR&grXi{-9T<!AkAIE1crtO&t|6WbRDxrn=x@ynjn2B0Z+2k
z*Y;@3o#>;+Wzf5!Y#EVYPb-;9INk#-djb*jlOGyeK8SinyZy`QYkXMuWwY(8FU6dH
z`9$lDZfGxbDWqpPiUgVTOEF_B*5-JU_I_d**uwuH-O<&j1l9wa2635;x!(lLsU3bn
zwcHthsj(|R6;YEkV={&5rGxg-jSgK@lT8vdO3*3xh~D|8fD^LMQE^p;KhxO(mNr8+
zJPq9cx@vehjF8G)yE2`qiFmjS*?!qW9q3aW?-27_#gjuz86p{vx0uA}uwyG!EEKeo
z4{YH%-o+mC@d(N5WmuCVVw-6HqkDi7nI&5Hkj&3|fwoNaAx7n45xPn;czPw9!SV0R
z^6-S!eLYjBZe8x-^e8#cxyP%E^DZredq)V{<o<QnwArylAKb4TgAunqm5BKwo-p_q
zC(6#Z<iN?6h$iQvvTQ(Ol(Sf8D=uQjJ|A=ML+r|0gLUR;EOGiqb$xGgVs`n^Yg;c&
zV;&`TnY2&fEfzkz?D1&@mLeSavStobHcd(n!Bx4Zco2p(4hGA6CQbIGYBrMO^OXnr
z_Qwj-01zj`i)4`paP^q%W;=0w53tBNl_Lp`y7nXq8z)?OPQmCeT=OE0Sa_1@TNsMj
z@PhC(1`_r|sUzZgng(dB)~Vh_c>5-k03wBzZeTlrU`gUsea?`?H%b=I&^DIguy20+
zgp_iLvjM16Z#1#OqRT5RW9=CIs00yMs(}zuXMxmYXF9<i$zrG)Nsa~;PyRrH!Wv0@
zO-H`K9Qj+G0X3MR$z-0NbE@Kb*e?0U%G?@*(!nDdbtl#8KS5i0Dc<eb+4D5&`EZ0>
z>n8^APp>v7Q-Sz}TQrwS9nWTnN3dGfxH-R3CiiGGbw+UogtM^uY<Kd<jYZ(?@Royh
z6n$o&V5m;LXocpx??EX>bxy9AGh|I)YM#f0@QPWX-)x~58W;ZwdqnaT<B(L50@RCI
zpVU78X97{F%UVB^p$7%>rwyeWrEe5UgtK@)M{ln*EH<As+}p`Gfl)@pN}46ABK1Zw
zzZXG9<t){tQiO>^^mAUWFH)Fb`qJc67UMlT+flfBMN0vQn#v<osimss5!2lAfsKLR
zuBU>rc!u>#Q^+KNF=qi$p_qk*DaB4O4klX_OMEdCG~uFBD)Z#e+_xT0&iac3wg#2d
zw4*0PFo?@pd#+m(r7F&N<-$`}R6)>xjh@$DwAlT^tlbni%FZ<_*<sGLEpJ+$(^K8<
z)WMi<3>KHfe<e$p6WfA0tp4TOoA?$F0llMl(UJCvbhWKcOoy3rKd6+)Xg7fqzndvR
zUxT}dhMC|+F8)en(GpKl52yoYac4al6)C&(UJ}~v3%CdPs%;bwR?-JwipkXxX5&Bw
zY^xI~i@80+q?txImKQ(RD#Jd4(;m^_8GOk9?7Q*r7}}AvW7UcTD+K3osybfSlpNw`
zi78yur^1OuT1%aLEI%7lbP9#LL`(BBlhm}qFOYiwi3)#aEM~nSdfzKHXSP&jeDf}Y
zxc1IPA|vFVHq<V6^XV6OIt6@MKM?<^f-gKw*vi;vqz<)bUiW83ce+wMy~T;}IF%vw
zY*a94DChhaL#G(FX2OVF5Qfw(mzB5GI3s%SJRh{RKI3+>kJm8*7cpY3$34*pa<PfD
zJ&nImexX=L<eYkzC)QwA*}=qt6G_e-SOERP1?Cr<{1<qr*GYz0B9^Hlmm*AABA#rr
zBNpe!(h?zaUGoYmS;ZL!02+h@vs9PlJ&oH(RmHSK=++cWJO{NsK&gr`^k}5aU8`ki
z+>YiaS}AG|44D@@)CQw~zIX~iuXj(b+J<ELjDJz$X|A`u5e9R;7O8AXQ_vy$J8t#N
zHq#34Heb_a{q(L4)f|0*wvo0<RU2Fza;VWdw5BS6f;M8YZLS(LAZpLINhEZs*f$$9
zg@zWM`-by8&7+jF_XO&b&1lZ2x(Dh=AxhCB){XM-9fUeU9&S)<irNf>dh^I|44zZw
zWi0f`35_!hZdN14y_EO}e3czc8PlwN9{{$;bemkIb-U=BdfVB^mxSwgL{MAdPuV)6
z)M<jjVbiLhK2%Xm7?d{`T6uqGreG@wOh;8-@u0QJp#eQH<A3L69IH7nug{8SY*AzP
zqFnmHC^O%LIl=uB5tbTLf$QZ50s(3|yPzs{1j-k>E$bt43~;^P{MI`UQ#K2Q)@nVF
zMFzh1C|lu$CkVfIKlFEFa_*Ug7%5VUc&6y>57%p6{M)(NY*O{(%Upc2g58am5p7x*
zu^WIk&%101S@}fU**qk*voDpN%uaWhW+8PM9;ZWkZ_XBq@Lq5Y=mZB#$(f5a%Cl$m
zgVbFwDXsDqSkX&(cX@IGtn1Wv*?2bsYnjnJ4#n3gbK@DCVXi$s=3i6*fLu&>Xx}s{
zEH)b~y@Zmhfl`{gZdLJ!$`hC48uU^R6&`k1H&Ss*esV&mXNV8Q4mJdvCnwfBk_dJ@
zUQ6w#1yIun&*m80mrGQ52~e>q%+ccIsl-2D*nMFe4CkNB%o)wBZCtPb!T`H9T|Io2
z7;kpazBJr3r1KD;LZ=kdj;J|Z#6t|X@jeyNhVSOY+-{a0q`#KrF;!I-o`6lYZ6+-4
z&+8x>NYRtVcPFOSo-*N}p9@!2DLCi|>=0`bJ5@uUz23#<3e}=8mfo|P18BjG^UggK
zX~sl@F@bH$iIa27a4qQawnOy2pA3Qb6Edu*L4p2Pc{%~0%LWK#Ln275(6WTnbyR)G
zQB)K7n|lFsz;bIGXJofzDGs$R7xk4@Sf18`Ct2l{hf^wdxG6oV&*LKmmiGgn+{V;K
zA~+IU6;-sF&RW0rA0IkOLR7i?J)lueEq@f0c&r<C+y>}izIfk^c}Me6+c>lFpH*Vv
z@oQjWnCNNv0-~z3u)WXSk6^4JfsM->kalqPydKk=wJ3|O0sFPe<JI|WV>D5x?B~94
zBw@12bAFlW?|6(PNsf<>#8c$wuy@dGr#@u08@|D}s&Rk753i?Y*UNDL?sF?f549<=
zqMpztX0c?nNR(H%;`hq#8!Y#QU9@$5&_k=c(kX~jPm=Iuxre=$89j^^Tjg%vOrPBa
z2PE7CsWF?{V_Bh5{OC&QZmb>L;b1!tlz5TjEu{VT10~f*LgE?nkS~DFa}&PPc5phK
zx-=B+=h2+BkfCG5k$GW}>31uB6r+);%ku%<)<7`iDprv5CUCxtHh{~3dCr(t826l!
zJZG*vw;Uwo;^GTH4_RNzrs6H`7{#MNXNBYPuky%+`7_NsYR0W#Ntk^P_O8HIN)ZzX
z7ZK_IVeA}&L;<>F-L`Gpwr$(CZQHhP+qP}HZ`-y#_f5o$n27lovpJipWi3u+e3=={
zpZ;?RFQusAw9coBgJGRMzgVOm(yNw`SUC$;^Y*uYZ>DCo-Xq}Gh*6MvA+<(DW13*4
z$nYz%*_wyza}_@0Z2Vu6BKlmRK4S-th^xG7h7XB1W;AR<0xwCH#7c-u>Joj}WnY|#
z7Z<(#Y9e#4{%iB`s%%n5s<hSAXZW^X%ibp!!}Zf;PDqAlA3mtLI*v*a4NrEAUU8Ni
z>L%cF!{v#kY-fMeyQFxBQ%WXq;hOgAVYIyB2Mr#3G6X5?0Xnz3n@mi%3ABUM3`XXf
zL89-wpQ5_dkK|=kSjTUyW=KtEjyQAG+T{SBSwFfdt6NafIlPyn0Dls$r%0c)IidzL
z+gWBz>Gb8gZ_--2n`%$C^x7YvsTF(vAajHFLF6+;8F{D(L`LKyAkjg3cu_u9+%V7;
z5jZpmE>IuDuFG+?J11W)vKtQ_+GscBKvuJgvd_W=5ZJyj??q|n)UR|O*`%d3c1O+r
z#&D=1x+;jD_EHDj{$ztt@zfl&F+Cr0&~iiZWA5}X<;Z+6YEn9tIcd;~i#i2hp5g8d
z{ztyu=0<O9ER`J6Df$`@#JL*j4C?Us?x0@OoH#pXyS*}3rRfDDfgug}?1Y^77`f`=
zFtVS@Uos2MB(3p|&Qa#?AsjL~3RzMvp4VUjDROCNwGEUQOs!t0%v6(nynU*3Y(`T-
zhBq*d8YZfdkBXh4a^uSJF?wbHV!t5;RpX+`INuTmnKNR_lZctNNl@p=CmP)WMR~e9
zsTW$<ppKC8%O#c_grOk!_C1O7nIHsK&aOM2$tz#1ZFh<cgI!tFFfTxGoK=S-9;?sZ
z05_XNcpc{ZChvXRA`&L`>L2h-l(vOUlMhXd4-TwzO~b#atb}RewM&ZcX?zX6?lhU2
ziV$08#7c27CRg%DNV}waO%sJ#n2+1U)Cj7mS>2?sS9lY|?g)a<;~x-M@1lF!dMyo$
zNH6Uh7qdvur}kN1hg%!AS97K(KsmWrJkiIZX<^_ILqvCXBG0<ArbyF~LgF8ayWz)y
zp}N_VZ&=F0F3VFFA=bN{Zu_i>8<Rf9ORSf@?g@GxH#j#`GY$b1GT=^yp0?6mZ_BwR
zY`(t5oi~3d%Y^!!0(4%9^SbBe%Trj=b~G%oQVh4;CXvr>{f>FFavjGz&*&$yeb)i6
z{<`G*<E}(Io(JOf_=^41{PitRz?|d07}0imM`kVNX*D=Wr8AGUAhT+Y?M{@NjzPC*
z%-zlxmkZH7o_d5@+2yBGO11{f)Bl&Ee*vb0&b13289u6R;AvIYgh;KvZD(Vt%z(K3
zH<OXnVjvh8S*w+eg23&%Q7+^1J-#H&%xP#1>+B2Lw2)>r+lu{WL0T?WBBKwr=?}9`
z{0x|?`S9%5(Kxv|j?~d6n07a1;?&E%2zR585m_I%f!R<4G71mkCYD<KEFPE7wn9gV
zAgqmLeEW31FC&*n`2M1Nn+KNv#g<is?x1GzZ}&G!k%QkT)m20ZJX+tKVXvi35^=mY
zy4?c9#01jQO%dDX;Q8q*C&LS6AuC{!!<yzOPYyX)FN;n?><BWU)53CDz}7khRa<B`
zJLtMvnijF29ri+N-NIw~+UT2mg+iH^7UtTEhuk+AtBZYBJB@LLdX<CpaA+&5-Pebc
z_Z6^Q5S=UlUdfy_0eLmu_2VnX(!h&~JwX%*xE`hK%r>(jj$lJzt$8c7>nK7J2&geU
zS5gp;X%3o}H6JXB0_ct!3%7;aixp^fmqiSMW#YD^ddLN@obMm$toX#!+**znF@&6V
z#OIkY1*@@pZC^#bDB^!*U-gxv@661;eLIlwd)WD^#IYDX_DL&|l;vd#R!5|j^O9xL
zm(yK4?cxRJ9J9IYJM`)<jiJm^8_sgiJgfAx>~2=Ps_ArX;R;y}3XiUM^!$7?Vru1?
zJKW#rF2{Lldju;PhM0LN)~M=*x-(dN<Hfp|3p^Yoq5<0lHXxF!@OcShp2@f!8+V5v
z+n|4ylpvkmV}i#xk(|M6Xq-TZ4Q(X0Se9hF%V(f%x5_4~<<lKMSEcLxbJ<0zaSPyG
zU6YIDkci$xig+VuWKTV^8Zkw-Wg6#kw5-}|ksit3eF7T^<J3I~UzI=+o9u+<d#m)h
zxir~AuJXoL4lB{46<2BX)w55@!f=DAsG<Ni3^LB;-ap3I3dCBayscX<W*qFDt1p-}
zcC`3%fkBL)xk*hq?<dTpY#I3>S?hHF{#ky`OlT&K+L1NxYIIN0l`<3*(VDW{lv1%p
z$&?>;mRmr6I`a10aLOA}ERwG@OfRqAU#Jqr{E8r|U?jS*mwEJ2O!vPQON$p~UUvIE
z?<7x3LP$ICe0U_b3;JrHRF<7V0JX}Bjo&@Pp^z|!{yxL|^>~q$a(EzZBe-m8!Cs`K
zgqw~~fD2^1rDqx`o;usO&p+<<@wXFN+xoe{smckPdPt*SWBpKFythE|UGS#sOLEo~
zhRr}oqa{u>-ZITpCyk(LYazNxNR8Y~`aA%E-$@O!m2~96z({R!R?G)D-gW{&5bz~K
z6YSim5`>wzK9x-}t+7h!dWV3ji`Ub_yUGGqf0L7d$j-Q8e+>&=+Ach%!rvCDd=J}+
zL%zpHkIBuM2J@TXp@ukyTb=6P!yrjFBs+_c^jhFHTursLZBCNcFX+%Y;*z&odBn}I
zNuP(4)Cg*oHKe8*-e2u9x)~oDj;oTljA$)|cY#<Sfo4xka+6pUZ;Zt%SDX;>u}sc6
zhCRs|&UV>zU&h{;qc)aNm%>Npd@*1C%q+Non1{8Sl1|798a?ez?y|AlrT|%Baxx)9
z|JR0Mv`p>VI%j~MzvdTFl3!z}J2J@Y(XqejPClqfvM_0Mq)oN#B`1KK`c~C(%do_0
zlAan_O$kx<RzRGPRz@=`aG?9B95y$cCe+2a6F^25m<p+p*?GOV*OVe&!LpT9ZmoPa
z)^yLQ(>75ym<vAE`4w`|sKrR6!?^z;^nSx{UG^E;7Q7>=92FPZFnNa(uRICH;qSmZ
zbdFO&&tIo>`qFWw@Gm=SeobdyA&IpXx=v>xdEp3mPOfiDJeT6iba3nwMz!Ph7Fic+
z#PpvKoHbPZIuwUi`f(@42!5cjmbZ1eo`4QrP<(Z;=bn^G;}n-<hxeV;4?}xYm(Y>v
zya9~vr?84-&<O(6BEo)HjJaZmZm@ACK|&W+k?i|jndy97@IInIL0fm;BgtNEkpz*R
z)BbDK?5L@@X~H^I`1`ysvVwk_0y;WsDy7KUbGs(-oTOKpoSc9Bfx9_k)k+*Vkv%H)
z-Ap4|(prs2@N;;Z$jYnj5~mPVjDvFd5{o}a{cHw&MX$!m18#vsC6#IkR?Fx6eR6Q+
zD$EVp;TcJEf(gTbY;sof%pELgfw=40*n}J4SSV_*Z)7d58P;@MgySC_>_Uj0Uurff
zl46mO@PW1Wy)}U6M9>tO@7-tGP%L(i9kN5u{Ox7OuBjm3QuT9C*x6ew;L28h`a@cS
zynrmNSyXl^rmbIjby=GMVMd)E?MkcRSBxE<GI}cMSkGMF6*2Y45HuE9+wf|*!D8B%
zU#6>6M5Fs49&#s7?eF9oCv!YnbtpMQ+rcKO^^RAeBgs>&?JIM6#4nB-4Q$zm<$Op`
zOgfcd+em|Q3Q}jcU(GAj>`^z{?eR8hhYt?9;y**(Z*Ji{XO<Iy^Q&6<Z_oo=unC<x
zuA4QaJS8U=gxpQw<9BnV5f1Yt+*vdC-qFR&<mEvZ4fkH5w2hZ*&5oJF=ML3fth%P6
zM_wQKx*}cFM@DI<E(gJvQX|@C{^nqG`|ASc4ft)7uRKzRQS3p?-$oo=NMkE;ed)Jq
zVcnxDzu;$g(j~BQF1Klp-8|dcJ1=u$S`P)%#o8-U+=(ry<fR}MD00r-RHLgB&`Uq_
z+pB%&$-ydwWW8ZLV+?rmKDijTDq%w>B{%Fm<13p>ngBqlG0r|-JH>O;6b$gVr|xx^
zp-Bpa=B>Kg0CT+&XFB5=RQ@I#e3hIjbWa_2gIQgdm7(<Lv}{*TjXf%f)5`u|MTtQ6
z`5VntP>P&EPDB;0^#WYhq9;oi?7ie)rsydvkA_q&*cXeQwE<<r>6}jh+DIOjpL8XE
zd4CJVor7B6rdf04rV^*kS8}c}dQ`XjWj=khP6(Rb{_qN!+nOV9tw(RZj#ZXljx?)C
zD07@x-zIK4k=e<ap@dakY^mx$lPNik<wjIlabtf;^N5#+tq!%Q?qrfZfi*RK@M=Yq
zta}3H(LwgfvtaM_ULpD#H1vISe<&5dJTq~s#=)Jf_nR-tF*>2w64My}Vw*-OjF%YL
z4||PihuMQ);udyXkXe|(W~N71NJ2%z>BKdN$<VqQrb9{J>wENHwW5D#Qd<r$u@mzm
z0$N0r`LqM|Ko8oV`QZ(uF|)<ST{*&}z+0y4Rq%d>l(7#BN27Fwj2}%|^tSA}u6k<K
zp>-Cs%PDh)ZGK)IIskl$f3#chxB_Fr2ii%L9cVy2gcU54{FvAMtnYaUK|{R+q9j`I
zpk4i$b=dhp!6gU%22Cu)MJK@ZAZexIcwds_OYGF<^P-^HtI5)<*_073*g^ls&lxk_
zPU`k@f&+a2fj&$pA7==EcyBPp)Jz9>=uY_w=Gp%qoe}%^$%_wyQLdhs|EeDvWpB3*
zFCp;jp1L*6=O*tPdj`}|h}FkmGCaWLZpMQ-9oqb$`+hGO@8uh;s9ZwLX_S(zTJ-*`
zF`LRL=G27PkRHDR$r=t2&IB_(npqn?gN+`kKZs6#L!}FX19!iXExglqBm1DSVK+<b
zj$-~3_14+&Q_di2{>WOfF@)R0n_5ewY@`40aW}tv1%7azOXw<FB_$OyRCp1IKsw%0
zwn>kVc2rg6R3U*5{gN?X+AKFKKx8Z04nZU_++Y1GbJHhE^FFS!+j|=ejM!_vpl4Em
zg)dw!G;^`L>KYUtyY)43D+a3yIZwniOas9T8l2>DOeR%)7I`LElE*IxDIR~;F;8k^
zj<8|@ZDyFB#LmP?P4bW1D1B+PcsimtE0-H4++Lue?lrWTh^l{{v1JTqVMl7iM%~Sg
z?Z(C`+U73IaqC(}&L@52`TkCdHq+Fuq>R*^JQvbeYvXb%rD;}b?N&ypx=2@!EI~Wk
zL`~fPY51PrhtSbBD?1&(n);l!j;Pt=p8k_)5SL`HiHa{mQe$4x^e}KcQyZt`58<4#
zDd9%~V3+DJe3h3(P>(H1=f$ARWbW9geWAFi&yy)5i1j0Ih}_{#*1%3Ho8NQ#WzlP%
z*uJFK3<2$~uY!}hFMKSnB3V~2-W?BfZ5Sx=K}H4PPH03~BNPO4#m;ZfuW185cZrvc
zHnLBqrT2Pk=((LA@&tT4-52dWqd?j!#-<=wl|bWvF}V*@l>(7Z7qsdMiTl}D{)pmY
zZtEIq%H@{g<KKBR{e%X~{@XR}DNp>FSf&0rGY7U@T83@pUhR5%<w$l#tpW*LH7nxj
z<`PoTg_H_@=2z46>gpbL-6mm+|F`5bH48nQ#*yjate<jDSfgwf0|@(`Lbh~4QId8y
zFCLx7eBa(U=Ep*@1Let3q26v2zVZ*Q-&jGTM8<?)9i7ushSVu*HMDsW*2<L0K=lfl
z2<u=?31hN5L6xsq1#bL5$G@Lf(<*T;Z?(Ix?c)gzfGI^HL375F0GS7{lRB|)dLYAx
zDbl7;J^mCE&aZXW_#IzG(D}FOgAmgfQAPBvi1kIlT80l~N@H?*P%(M2<?pyEW+V%r
z0QWx%#<YvrZls~%JGUnk7gqV|a4mSXVFr~PH^(bXwsLW1u2KQRm_Ft2BM;U@pGMQl
zdeYZ4mT78t+>Zi3-U?wQ<Lhjfg!`U`Z33%R)t*+TO*2-i0{n&^AM<a!>Lp`8JQH|g
za%NN#49ArQX{EA3jv{37A>DQ{PoETy#nbIHgL_-dR3;zfX!QKUZv=Fh%)75rP)lq|
zZF=Wpe^&phyKn%*nP%@XH#U$x5Gc#MBOP-uwuKCL#pYcX;m?jL+T;}wxzW=>Vr3EG
zrIn?i>*{xM&>_?}@)0h2<x~DRL`6~ji^y0y#hYwboe}a(1Cai{ldq@ujq$->AGw_=
zRl5Oy8Dzm>+B+wnSPuf3&AgNIv!{xs@QNqjyn`~$`OaCC0;Hh7pEgcO3}ScAIuZTg
zkxft8Pq#{Le|lU^$jv?i<L7!3HP*G~+JyPTroNF#3!HGav{x{bd*Rbn6d51eQRE?R
z>>{^bxsJK(etFKhXOBs?($TH%auqb*d-2M)(pDc`f*$r}6Dwd**-puqNa7l<ED9JM
z1Pk-#dJd<S9+M8$DILt0-?c#^B@H~pBtI&#{b@G!YB5dQ7j@tZ1{rJu3O;C5t{f3(
z>rf9xmVn3Or7no^a3TZRR(;9w0`2K}upO)-hau)NRmWJcTG77c$7~VKJa0o_b1QsM
z)l~}L^lOaSKk&HTg3ncVR-+M)FL>kEg;{*@mS>8ahnhlfiJRhE-l>)3-IBRhQfYKM
zO**3<egae*#M?eXv#K`t`Hc?!IxxGjT@}J@oJDP$8U!Bv0q)x9b^il9#ql56Dc1kV
zPO-4C{-^Q`P8N3d|L)Ep_&=~yt^dk1HqmIKy0{0pB!arY-QC@-3j%LOw{?L+_HG7{
zb%cY29o*9eAa1bmCOBX7yl;P1Z&zwBdd5;3R&%VURb^k5WRpd=psWB>0)=!mIW#sv
z0h1=NaC`vV-00NY+~ioexM&lqfbZ;?v2x+&H$Xu`A%4UIikauPo;S!$Z$5C!U_t><
zwr~J&bO7M=1mXAu-P{1kxx4!Nfd0$|0Z=--C!h*sq80#z0_e`4k^G6%n<c>3UOP4Y
zd4?=#GXZdbfVgA)l?0Cn4xA;Bc7_nx*jhn@@Y7pZ+yX3sYykn(?fHog(i>l0Sy4=g
zof#SmUctE<gmP^~G&BJ72+*+w#1cR+XyTrSy6Z9sh~mU}Q#Y-)Z~>szPMFenlPzzl
z3h!V>xU+Ep&;%l+o5Qq2pe|tE^K=X-?M4z<L4<gx);O;NFzes#0d%N$`pUk!z1kHa
z7|%CxmX@YiU%)v44O$1N7K9TBsEk3Xsw$&q?#D5D=APdg0R70Zzp;aJVrcV#duwub
z4v1;z>i_EK@0)UNZ~^1&?5yt$!0}5Tf5|@Sm|8@jmZZRd32E;v_}<A!8OOAE-*TgG
z?UP%@19}d4`+}_&M4-Oh71ikAY_t>>kh2r;tmqTYlePF=w+W~Pz;knR;{(J4n1=*-
zYHl|Dl&w2HhWI)>db9Pb?VlS%ynv|pqXRkvZv^A(oA=R~-VOv%H)k)%pY!MX!T#gu
z08lNERto@K01FZH0{_{BY4MHj$LC|7K;ED5t?7*e@UlDC*B6t2Yzi96;qi_9bLz9v
zyzHv-M4I_i`L@dk30Y3wA08SF-9I=n1c$J90(j>L4e<4oEjokq^h&q>E14RuAq)uQ
zZ~M|A{rk86bN5vK_tl00;3r!e^n*r=Am9f-7Q5lGUYqaN;ftU8TYmC4zu&*<YnSDx
z4?D@x+2QT5^!M=hw|!=S0KBdbIFI%6<fGc(^z0Eu;D=oW{cUZU3b;nVZtwSbvMY;!
zE|6n*bbr?tq+>jQCs56bKwWyXZ}=fy_wzM@Gk`#VwH*5FA3J5RZ(#n5zx!yS`Imne
zhi)$F>kx<!e%7C!61E{k>pPD@4o@$jqp7I_9qY3xfy2`SfDdP`$O81~tH=-ln;PWe
zBL~QXZVui6)>Z7&x3Ie#fGu*jls_UKzrXaso}?e#fcY1k_mk%5A4kPD<xiYvo=>{G
z-x1-j$&uGG3HAj)4r|c#4gV%%`-^{<3Ht?qWB^|O4URhIT>I!RfCrF0<==k_rSseW
zYZX(H-Sqglawpz7r~8Ti;|vcNm?t3J9I9D<oUPFHcYcn2<-i1whP!A`*@e5)5{8Bk
zdiL7RU1NL#CciOgEvIfcxzBZ<#$IwsKZ;g~_v6c^LOjkwR>i*S)t5nbK4aZdI2)h*
z0-O4SQg2N<P-?c2^kw^XVM3jJ9IqGjr3y$lFBzLZO$+cRRy@AiT-W}6(c$eX?&DRy
zJL(MnIGLv5uYGKgRO$HxZKJtFd7_Rcg#yOC98W_TeO>9D(^y_P3R1@W7o1T?lrPLG
z=b@c>w>nh|hc1_dr6jBb#UA~A7`fiN#8n9e!rXg`U&Mf=8SVj%hsrn`UxZM$x`(8F
zBl7ySF?;2DB#o;>3*Pr6GR6+y(>K>VJmm4P_DPcouhg{rHiNI`oZP-zJr^g-IW}Dt
zDNfwLiu!IgW}9$mWD*Qff+)cW!)N+R+8Kw?sR|H_mmqF%&V#$(v|V1-qiC+aoDEd5
zcTrB)J2uIa<8#By+H$E#vMD<Bg9AeP^5T21L7j=4pFApKG@~fz=ayI$`X?AP4vovB
zo0^!k=cAuYS-XlRoL#V)x82~BKr8RW!_&2Nja5(VvNb=pH+i59C(i+}Oks$0ex*2@
zWBxdHVzxtU{g8H0O0BwfC-Z0emY}zKOkQ?ta{gL7F&4!UuM!R;_%8IZ#Qj{}ne#cq
zZHM`jypK;xnTaoicR*a7h}9Yv^^^-c6MyyfYukmNC$`gMwJN)?=|a3w>m*mXX{^Yo
zceu2@t2kX9ApkMiumazw!do<FO1JQ%?SZQSuX1hd`&r>AqHEziqy`&9HerB|RT12$
zsA+ly2Mm*6-6^>xLMUQY^UT18$@hZYi9t%%)D5;rz3fccoTjgMblzgt{kbGMt{-SK
z+wE|*whF<cMrQU2z61d6^oOoy&in-dM&}$^Zc+0?wjV37=U@B{2&g^2U7xm%5*u}H
z4^UUkXv-IPu4uFuI_A>KApJ~74ta(PVSgGqnY+j|+;+T}-Vro6eFMbzFiL@dwcmhK
z`qda5<H%$?9;50zqgWG)+8#ZORBYN?mmOdiCUMGeO{dHO$>K#!LqAGeQ(qiJWZgZX
zBwpf{sGxY}(St+Nr0N~1gl15(u~Mif5AtYI-1<1e_1^T@lTV@gA(PBIrO{259b$Wj
z9WI5dpHD9Xffe9f1*`5G@=UiwhxdzyXuU>ly{*U$MfCV|V@W3xkIERJ$>8K=2iEr+
zq&Itd{ujFl295M$ftc@VvV$TLv`f7JzZPMqjwG}D<EtH#9#>albalv;C*mzQXbNfq
zM#>=Dp~roB)-voW7S(Dt-9036Msb=HuVmBie;X~bB#n_iLYeL<wU1&7JZtQ&zT@Ky
zpI;=;u3S`0CUFM#JRXnF-E2$_Q2OH#b_;j~S?#nkqrQ3v!!UaC(P8Z<$V={DBTi1A
zRh>AoNhNU#4dX?XF!`5(^<!2Vu%f;EBqtmr6Q)X{v$IpJx>)P1II<1pFf?>*5Eiq0
zMmE_~E@LD!labB3xcYizsOY{H(sZwsvkPn2nwL-;P`r*_p2u9g7F+`%Gm|`z9Q6Lx
zrssnSi29>K>d}@N4ifF-CS$edoG6P<9l0f^XdAt+!u6WkysOs_9eKSj46>bt{B{)P
zyKfsO^9|!&6YA#c$$un}j3@s%?>U}Q?-sjr0XCxH^G0MjUZUxT?J?0kS!=esg}<3;
zzruk50ki4)rqa7rRFS+c(~CVrEh~kG8Tv8RYmCn>t`MSKV%=*+*C(($2K0xJOVc`P
zc=2G%BK7<wny~3u_-uNMnNXZ^+qHed+ev4c<^%uNMZoV$fmJT$fC6wGFQFyv%$!y@
zW!=<GQ|AUf_xC;pjU{{wpnl;Amluf)kbdxT;%KWaC?vY|?`3J>xz_Np`f+p>sJ?B*
z*~(K?CdO!@@aRrx@~kAQ{9SsEmHDLaU@XQDBU_Ikt&&i$TdV>k8#@q8JT~uafwlj(
zU~UGMfOW(~OAU&}Z*}h@HAA%2rEJB%9^n}JWG1cSJAKs1+XYV9$}2?G0GcgV`kn9+
zL2T?{Sg-z1sPNF{ojqutg<ditW-3eSu>ox%cifFS8O7bd@)+U`kD<pN=*Gm<swkY~
zV)!WSj86S(cw^IvbYv}ZQB1;-xC8rSB@JDM`iwg0gxnVrHQyCC5PY1M8udPVX%F1C
zTSGY?{3Ym)Oq}*&V<KR^I3zkAs1m5ot}a0@?Ic6~X)jlwKH}%Vyq*-3P;D7`4u_zr
zhw5v~&_1_vKk$*f&dX6TGq$>!B!JzauH2G$%8fHtA420nt{6DTn9()a+Rtw3;5Gg&
z1f!KUNAK66d=$x)%f{+?ny{r!Zcr<O>}{kXo#rQen`7uTV2T05Q8j8^A$-Pm$h*6$
zQTi$RL*o#C)K;D2_Lj3)C~JYavKgracl9Rzi>=vi3bvvVbL4xw<~{9kPaoShYWb*P
z98u`Mfj5r3@;0u%hPpXeCp1O~OEpwJHHEqjsA8{X3?DxCz8J_|^(?}i#KBq@L56=~
z>xFp_t52Y&-);NGPHDbhMQ(AIUCVkf@B?82WH99BdBsbSy8AXNk_LMextH}9<rZEX
zM)-SJtsl0zGS(dx%*3t-WlC<hg<3d-OcCgo0L2SD2v>>2`aJTzAz-v`Gn}lL337+m
zLtsM$YNS;?jNJ8tz+@Noa?lI28n*Z-tlC$KEKUuOJ1t*rwgy(clcvXQ)%c?3mH!sr
zAW%wcPlTH%1H!_y5K(*IWn9REaHEp8C~s>CMXL9OZD=-I$u!4i9+#*o#D8EWcNY!%
z;$vNFF8}!_+$>SQX6%{VsLH^bBsz~hH{lxXWqL)PT<sfvQ*NI%2*n<`yiR6z=PQZ(
zq?GQbS8{8Q#I*DbE7^IK;6)V`e^+LxeCezvNm&{3z37CiaOXCRuTE$ceDOA&8k9ll
z3%n-DWu3xbrJfYK8#W07&r(yZv$`pGgWQjgu7<f(N(P*@G5*npb>kmG?VYahc?gil
z7NdQ}>rcu%a)z&ktm%fmhLzLw38@J91Ng2>rCKKaop2OdY1+i_l+CVzj0s2IxcDCB
zDa)A}>Kds}2{!)`H`ilkiLFV&j}$nuSRUB<a9EfZp!b)Ph{=}S*HqL3wQ}P9LFk+O
zFOT<{XmOZB+ZTs?hha3^TYz)d)8B8}P1~S9dR8uP@h+b3&%-V}X+X(gx~p(ubCH8$
zY*w10sgkl~dNAOy9K+?YF&K%3Vfr?`i?QT%BMRcVfN0;0g}7qrmEEa#OJbn6x>7Wo
z@g<3FN}=98^FD?!c`A~btNd{G%u+zmOfr^EB3oaJ2q0;oHtdri%S(4odAE1?6cDUr
z^iN}N7&wV7ovYJOlVUy{4lUdGU=7%wBP^_#hgDr90gQ0xhXa7&DA;sgaIpco5Ph$5
zOeo~p9Si^@4S%J(ugL=wE0~m!UP-SZTG%}X!l#BS+WO{uG~BuN9ZGBT&roK&1+4T=
zDFlPzq3ARUHVdX#WF2CL9}V3_nzH_&P8Gx<n_Q{Jn*aU*(4mpFfx5X+nNTBd(yv>G
zUz-wzbg}4Jd_|hkqsP^HE7bWB5V)9aY_WKd#M9uJ5DJ6AUrwQ-(y9wayi_2xmdNEL
zdJk(QCg?+{*h0Mz=oR#B#DKs4CXqLOt5h5D41Zp?eH0Blu2%^O@WBoOnN%5QA<Q-z
zY{AW|q`01vq3|0jg99PQKhdY=gbO{>V--<4yh*J2qPN`Sf~w{uH+F+Sho$M>={5<!
zPr6;x9bL7E8@b6o8HntFW9-Sw{BE4cq+$BPaB7Sg(@xLr@YRG0zhuUl#&g?9v;C@!
zV<D9!U+!~qX%ybI%2W}htDr<!!DXJ&4e_g%$_}8zkB{W3a4wswf4xNTk6GqU!;N4I
zw=u3o`mlUj7s#A`D2h7s`)ylGD?};1iw$GG$!JT%)3O)qz7~5T!WLwUX%tZrCk&DG
zPRLLzmQc7nO=kI|y7poWE+wD}@#9fIlA|`i{2XeRkF%APjf0&^Jzp}*giL`}<qt(9
zLuq5nBE6g4RToSEN%1c2HOE2K{xkb>mxZH&a1HSKR4Ls9VrSWCK>pINC}Gl)x)>#}
z^f!rTLQ24$Zi?J1BVY|_s>-o_-X?e*g*{7?FCAQc<VJ|>EpU004=hs{Oi*O<GX<w1
z)B<PjV&0^)*}ezwg&3u)Wj(~y+C!2QQ8EnzzX~gnZclOeQq;>#X@La-`k$r-4)XVK
zh?I3Rh1*Jt-W^m3z2OA`5%mZ{2@;GfL~p#(%6U^$)wj0k;FnCa*SNS9@WQ5Y?=Oms
zs<jNR!o;a`PuO8|1;uU6V)=1}ql1*^g4Bxh`wNGPi<y_57w{}NSBGH7JG5xMDJIT6
zlq(;t&6e#i@rks!@<NWBw0n<$*)pPk7sb34o~mQteE7JgkC{;v;i0na?h`a(WF<n5
zu<SWPe2c+8sfbornd)`X+Lc}(P+JK?*CVb`;??v+EM-Lf6Hg1)LfB?4E*=-6K|YL#
zfVxQV6V>1oaXp?UAA>z-Dcv;xnLmW1GO+5$;}tn|Pto&r_i^X0%stY-)x{!yF5lCE
zT_Qy-RNN}|!>kFATK)le^W!?+xd(D~Cf-I4DE8&~vISg#$%{H3OH9#q>JF;nMBs7l
zG&>g~D<g6E3Y|)`1X&`f5SI3m>IXycX%U4HR*gwW$afMF+dI8Cf8o7(3#^9LMY^bl
zrcEl(E4WY^F1-+*VI@m58LX_1zh+$O<Qahzh3vkfje)zK`cj0aK(qo@5$W(?evXx=
zbQ`f9r$@&ycx3$wLQ$OyU#vMR*$VI|LJg~ekgo4lCy01n3{uc$FKBg)a>$@~(B!um
zJm=#gLYbYQ;3p-V*SxeNBT{Wq!~9bLDbOsvzjM(6$BRAsW<3}4wxji2^A9HUOFv!<
zH_f&eYClh~@#Z{$>;>YzRV6!HJKzBIK2zNxOPZlU{Cao<wfmpdY4B$vp7PDZFhdXs
ziV{EXH#)rZO%gVjl0Cl(7>|UD^6X;P+<TkIr6;q?&C=&H+0;1Nc(VE3ey4=c^G{FZ
zguIJBOKfS}rqAA&s#)<7gdt4ZYxeYGt8ScfZQ9U<;+w9^VA(CnaTR@>ifxqhM8Z}+
zL4lkp7$4|&pr%6~$qT^5{-By{oy02?p2ix)nW{&pytNXMB67@tTCd70m|U1zQ;EMR
zzR%;7QL!7LxzZyG<=1SOxk;6sm)s~yu)a@K&7=~-yg;6A3!T^<ut`{LiDF4ivV^(6
zWHa$Q7%1)emE_?Ap-86NVDwstOfnzzTrdkWs{$!V(U9u%hqS$C2vW3@i@mSb_sw#^
zix|Gi60g&oFlhGEWqSHaN!>Nazd)EkV+g~|Y>a;19}O+?!C-o%CEYr$vI5N>62De;
z@5!vro7#9Mk+K{mGs9aOT@B+f)S(ZF>~%rxfj(G7o?A_;f+l}cm&Zi($bD)S?jm5w
zesa3vl)ZoQh`r!6R4wlrO(yBtAs5Mz@#t?K-gJ-VYZ}1-szB_4F&A@HlS#A`9rdT^
zoE)BmQV~cL17p#f+$BO&U@-QnK1B15=kl3Dz4ZJ$!wOowu-}huM$pT#?AG!pU}k5V
z&zM{s*`XrAMw4%9o+e|#La38_*XWE}O$>J9OeU{WiLRoxx(H_G?#Ok1Q~bzKK(O9h
z4=GL6Zi{aWbuTg&>6CkyeYE9->kz14uy*XbrQali9!fTbD2EL9(J#vgRM{xrg1whH
zTXj`@X+<1x-iXUQpt?O&Rv^qLQMpi2NiyFpQKqcP#ZoHelfkSDAz2la_3v!|@Sm9{
z=4@xk+0dKv`Cf161_sN3pem=w_3RBnK<kS+E1B<Le_#1=uticgv9}~<%Cej7#VWZQ
zGC7YuU03}eSw3+o%wVJLMZ4E{A~k!3Gv0o^B3jO;(B82MkHps+n@GHA+N<sK9@L}2
zmQ9fOVfN4v#;7>oSJ^ucWV|`j2{|Arrr|rO(;ufazayUub|CcmXnhL|0GYEK7DcL^
zr~r$#<vwq4IH=~oG!}oejwK?&_G6S5P%aTlc6X;8TTxk&kb65hq!X<(|K@4jOhKCs
zSJEX}gcXW?eCr6iZWFvO)*bA5wQ@ar&stWz#+k_rD2^V&y>^p=F|)2I<M~}Dt42B(
z-eLK|1=?M0Wpcj)*y!s!j96V?Z)eo3gsxk?r}jUm0up#&=}IHLs+#CoW$ta>AqCEd
z<j3-zYcn3?C$bE5y6!3i$9k3<<K>oYqq`AV-keRK+sZ#Sc{Ow4G&`U?VQGUdZc?HY
zektF!lM>12f=y;Dc3(l)NP?qb2E%_l^Ktg5kn^~?9>A+vUpjD$_Ni#xV{QCC`2qCj
z_%UEkYq>oEFx}GSBgMxd{cy%kq~P)-!|$tye~;gmgspQrxkt%fw#P=;ZT>w~%aCve
z>0Hb^nexC_3OFp_>A^DWCU}i&9r-gSS?NU$*+VamlnId0ai6&s;$F<47ImZ+RXL&9
z5W(?GOw3TJ*M(ZC2TQIT#Zw*S<H2J$4(@Jl4cwLa;-FL&d5&zdmDbD{WKPB~PvIw6
zLL#OnIK+kJ6=2l6tCe8--U#wSE%XEF{f?tsN$wA%=!R8t_&(%qdNCyKAq(n5p2X~s
zWap}thA}hjGe{rIV9yG4?}QR^x0TCxIO-K3kS@V2u_U<+3hkHwF;Vt%iWqH&hb-H~
z!nVk|?hwbc3Sw(U;*@kls3S4dKKxOVv;HS~aD5GNBCo1WMIWI(I^B=7^LSTEzDsvf
zUSW2Q4oQhJ>{o~zjvvQYKM-$6j0NSdD#*crkN+Q*t4@}QQYjX_x_I!%l>6MJDwS+(
zQ_z0<g!APo!nad<(+BAgE28LvTQz|zB4HNGQ(a7LgL^%B*OIL&U(AYki>GIlCM?uS
zS&Y>;@`*T>_G9W`2bDw<WYOj5XS^Al5f>gp69T8>16PTSaM@JOD7s@j#BB`MdhXfN
zB+6~>tb{!v&2b5`orGMlH;=5XmzB2LNhUFdp^1y7r=G0!OxLkH7oszA+;2*{G5LiV
zpM-OmDZo_<2k@_%itXi_&9l`w);iyu8t-#Au|jc9rc4ze<veO<npG}j<PN$veO65U
zi*tQEHuM7Lx<_K&!_=8)B*o%c=?Maw!dN~=j#^X?bzrAbYmj>HesR&r=tabp{L}GT
zlOjg(7EC~<I$>ddu&BFb-&o@%c60N0u-68X7{bq;ao86+51xb1*mU3id)eQODxHys
z^Cbdv+3L0}UdJp7<C%0|>OnGAD;;9F{2-I@Fto#al@NQoYf7KZSg(p|Q26!Li_@i;
zOgd_EGhd|ekv7HD<c7@f2uauEQm%4K1C?-v+Ovw2J<_XBQBEQwi3s-0v9cux#<d_6
zv(0Kn0+?g-oz^TB9_vTjqaM>!nkMwH3x-f42gF?<hm|}dc~_;rvb7?})FfrrBkl~P
zudQ(+`g`Oiolr_C9a*&RyTCzp*hcUJ`RJ>U3hz?C@4Z0DG!lk)+?7ead=J-b-|fpm
zwn?FtIYmD2CnlHAubJWDk*T^qB^qV6CX(I7rBfY|XwGN|7F>^9Sx{!-68@AASVMXg
z*<%=hRqSWI`JZ8V3*?^@9<|DLvP%`k=rLzAcC-AjYC5jqScEjlUk8q>+S1cJ^1ck)
z5}BbZ%Wu}|fULi;;jZ&kc&4&+qAxd*>LtNA_OLySI!xO!6vr*7okCSIn(m5w=OatV
zm3L1y<T+NhQq5PFt{)jws3a{$LPynkkH9&;3z82X>e~e_Jcg5J@5M~#hUD<qIr+-c
z>L@gq`f8QsCVr(?xeFTT%xNm$^*$`V^}IQ64p-N7Nu2Jtk{xO4);&$t?`jd~l)vDt
z4Xv*f+UKV4@P!UcF$fJ<r_^6awdfA2_AYq`BYsJBysiB^H?Tqvw~IXY%Z%$&A*C`(
z&F~VTtS9v?_$dR%s)rwy%)>h9ZnKks2Tl*Mirkwq>aSp&b}sQ1$n<3C9PRT!$jT07
z5zPU`dZ)#J9WY80<)t03)TrJv%I?_+*-wW6Jw%QHHUbZ?TuSKdH9F)%hQSheHegtr
z;*F%7Oh;?lK~3(S-$pN118K63`zcZUjdyQH6JNK{)itow-IObikPxX7Y1+@HtuE;h
z<q@)Es}f+Q(gsb|az{yP1`JHK12*ROSWS3!5SB+vUf0#HMKWkyxc>D<iV?8*d!Ajx
znkK!kU;F9QqB`x5so@nKgDrdgQ0paGLhAGGM(Y;;zSf4pa({zAY*bi!b*K&S*zBy`
z{;3Cc7gThIynYCixN}<qZZn9CI(UV>jZ0M^e<3JSa@Sz|3#6BqVc-LrPPC-N3G3wZ
zD4qlbhi&iSPp9<%?G|PlLDqy}69gKkg}g7IG#OtpI&EO$$5`08Q09^g8N63}?57q4
z<$5o(n8CH_dMA*oN527^sh#%v!?E~H=_W-AQPbG=Y(?{?>(PVyZDrQK8Fd#K>;}ik
z)lW%<6{4lCk>=8=aLMXG;)BB<Ja5(*v@Lg#YGECHSF<de*VVZ&Y{!^&_A5|Sw9YV2
zA-r*)<1p6EfUv<%XEBp$t6BTO0iVNW<M2o8t*elpXp^_Z8p$FLyM;ogjN~GnZ!TKz
zBHki<2+6MoFg*?Tq1CnwM)AS^paG6%_kBjReR&bQm>JjdFcmS%>e6n?=kEp8@ifP<
zW8$J*0MIPxxj!~1Pm1@QloW*YvusnG9xpBSVt!hE%<5D=#i!jWuKp9jUx^6kE+Q-C
zj&%M%wM;`@t~=@-NKH#$d&0C2+c&b=5JiZJJQ~CQEKQTB)fK~oBDKh<zt*OLLx>{j
zfOxa1fG*Q?q2R$JCu8S{Zh%HZQgVB2e1yU>+RhMWTey;gg}VkmHph_&s?ke!Oz9%9
zw>Do4T$~@@R7*1_kW#1Y--eD<7bS-LP*6|nlC;WN4ldQ{9+}GdaSW_=ap-EFrC(Ef
zrAMG2$E!qC%s3&K-|<N~ek(0KIV`9|g1jqsAzdnsTy|W60%!-zlNqS4lA+wcrGahM
zw`X-l>~Wt}W=2x6?3<d&YUYjh(5d>cQ_W|Vy2ag{d8Fti)B4;p11=)~9SX2o&+WC_
zl_7K4$IZh6Cdl(`B++-7Mc8NPypPh^7%Q0RiVjH-u}24*(mqwv=G?IqaXyIdBkXNN
zTymCR|NI(*pSgb#z8a*ipXd?l6%VPNx=(R}+b?-<m{K2NUR>ENNG^AvxTzvHKiLyP
z5QTeqG?!)M=(jQ4SbJ1$-aSYX0;IybRZAMyj|7d6RSW-UfZtU4QBhK;LJhv4jJ9jv
zR(;=g)R{(tK^*D5aLQS3{Yo8O3h6mVn$Ix4N}cPA@MGuEua2Bc5RpBR%vUx|!o44@
zB2R}|T)s-JY*t3@FhP*k-JC9>R2?YIf8Oq+sj!4ympgl6sqBz}^ngcU2eMs_6PBJ5
zf2K^YkSfOv9YJ%pQc#zt^!BDaBe|dfLN(otekocnM><1S{Fy!tHW-qH0*#6yYL*Lx
zzX`jt+${w&+YEY|C)SM`a(KvZKB(}&PipyNUck`KYmxyumSMHQ;<zP~wOhP!58+2-
zd@8N*?rKyprEVIEbwnz*VPoy;EcFphH{@@A)5X=u?d@|`8cjC#^SYLkx-cHPh;t0I
zJxToiwM`*Wx*F(t+2E34GFfztGVXJPo~}vQ&YG0}dD+lEvtwp#33$MbT)ysZ`N)bj
z5FV_7x-E@vl6|N{J&Rg$>1bMGql|w)#^9R9cL(h=!t2B7hC1W>FD2_eXnk6L*ex{Z
z3i!|PQVsI5dTrg!M7q-+Pn&@7I1{0_iJqz%R<3_i^Y9L0mkm%sqA^`_CdGbH#z6Mb
z^)xJW87F1ci|1dU-z3Lm4O955r3}wQT7hvFW)s8y=ldQRqVRGk=@v@necYT9fuq*^
z9S?k`b#a=Y0hQM+9y3f`X>Pn?8oGZu@9C=teQphYU<XZhn4g;Eo)XoYF7_Opck3FP
zf@iMacN)QcLhR6^F=*fu_`x!0bppWnF$qHL(hr*_&P^LinJIkA-1O!K2-J~-aVn?E
z9wexYLcwI9Dr9d;eUb$I98idBM;4m%UOosh+<m%P_--gE97@^8m!T5K@@%WUoh+{d
z*&>W#L=|OYRx#Xf=F(|#odnF6FFROj>6$l8*gJf=ez?`ZtdVfl$?zyWCc@t*hV<!Y
z{L6&R@faG@VX^pMhctro&q`*e;PlISntq3<Udt=>*!DY?7#yYVxiXI(p+vjxjB|2t
zya(-MO!BqNhPT$3xpu&xo#?@7G}W-~SKfnNA*n5zBd+ue<h3~0hzC5f_u(Eql2-!x
zC+;04Oinn{@&V>yHXeVlD$JwpAUP(TAaq>}7476&Etj;TdL<6RFZV+>8Ks5_<5$l@
z<Zx;>P6zmVocFq$#xnt6St;K%13RM&z`G8jN(6vC(v=Up<9WwX#BiB$P#=p*P|dMR
zt@In=ZddUwU&nx2)jZdMk%Q}wWk{HMl~KruTR6t!)vB2e>MSVqaQyFNJ^_&z1Z$gU
z&|MtU{7!MQqTUNzLSKr#(Y_<sI|6F=pCvb9Q@#e`-D%HdU55S=MY2#mu*_^f1jHdf
zFX+m$Ot~dQ%)Km}8FJXL+0+>ffMMoG#;lo$;WEC<4d@9*H?vE2*~((M4w9#ox2@cc
z%F}6>ODV8(5$97h?xaA7F;8L<c(`NQ>5X(e$#(xJkyuhYMzhG%(af2+r2QIYeyZ*i
z&M3#UBIWsjJOX~zO-e6;Wk?~MpPtNbj@V%njWWsXiSw+<#&?H0LdCI7r84Ji>pilu
zS=Yb%^@EaRhZGbXjBl>_|JvnUiO5$686)5kzYqy!F7i=^2B<k*J*b^Qx8wT*%5@eS
z>t`DX?2lnfwZuEIhhYTt$kv^Ey5*J;MN=6WI&k?>Isegk#t~&?eJR4z-BY$lA$vQ_
zRFPwZG1>M63f9msZO8=9ox%wF{JCC*63esi`J183MRF1u`85R2_}uRnHhorASW0*u
zBORt5c-xR-=c^4(j0@G(h6Ia$a{(R~6oGO<UyeDJkPesL#+&hR+$HM$u+S@Meeus8
zGB(^{>>HpjGV6v5;y)!tsv$144(O;|$L6>;Kx8I`85@JYZl(33(VLrh4rQRNWR{AI
z4tC{D@^H}&a8<D4X)L}__OSZXuH=Uf@7y7b^W+aO8)Sa*zu7BRhX2G~v9U4!f7*(P
zfRTZn^*_Q_jEo#i9RE#U{U6|~W>AG3Z8X}LE--S5Lj;}Rt}bDSRRQ2wmeqDJSUj3`
z;d&5v_n<D&bP#B|0neiyZsyGQ-^$m@s$M?pPd@K!VeyjM5h}xd1F$6500B+T4Gs`M
zC91zrIXD1taCU5PaCHCRD_e$TxF>o}tX#VB4bUq9#IGTtNlcIszNzBCd2?Y@a0r2g
z6}bKh*u5j<BOluF0l>Y3J%qRPKfz4|0$68YtpMfqfGD^G1n4YWl;Gm>=JlzpPn>go
zaR6e@WB_FW{nlxHTYyL}1m^Xe2tW#eLN$UfbC@%MZUD64&I}M2@A`xop*4RL#Q$Mk
z|KKvVf*$DX;HFdxWaxfem=-XLARU2OI|Atb+cdyR0q=SKnub3MfXy`nbpF)MI5dB5
z1k4fkG!4Mnzy)>kbae>P2+aGP-2&2rm;`1JLEbkt-tB?W`uWp=_e>7I+}r)T{lS5R
zf1JRwvboo}fe7;qB2fF0Y`}raC#aePc?)O&2!;>Z2<K-<_BZg)z(6(uXYycwsBj??
zQs)5x^0~jt_|cus>xq{`XFzRUyTo614fE<W!Hfux4ea5A1a#;9*2rPqz%u!FyU0KJ
zhgw28+J(D+Lum#Opr>|iHQKovF9rJLY6(Ek{cZ9@Eq)U<0}BB3;Nal====c2Apss3
z+RT1)1vZxupVE^a+ul0B_3g#M#RHC=u?h6+NzdNlXEs64z<>mDbp?BO{HgvQd*uW~
z(|@86fH@8YBls!*WX?GLVE@JAZ(a|+M?1#+%>jth=l{!x$;&)F2xxTrj{n#vHeE|Z
z{ilRt=u3X;S4~Qa%LAZWv%?dxTBjQaKu(ShumAEi_||_+5j^O(;t*aRG@=ApVDHu`
z|Mpy;wCj5aaMT|y1oB^Ol?rZNCNvPkPxx6FPB+fU9RBRDdFSu(!|&L`uHsLf$nS2H
ziSG5)&m!}W?cMJJ@b!RO-meA^^BU?$Hz*a{To=H*zB2FpZdDafBS6>R-#RrwD4!iL
z$cPo@B27-ubq<f8v|wG60Xza|SBB-S5Bt?G+O_u{dp83JiR}T<ug_4=mxH}G{O!l2
z%uT*NBD%TdFKJM(oj<>`)WD4H^=~~kI^8}11x?KJ$k(2$a}nr!Gw<E0Xaw<n<1hy1
z!5jklx&U*$A3!v?ISYR9Y4Pa&bobg%=m)1j_0~VwklkSQz`wyD09Pl!V%=YJ;{!Jx
zSN@WI>T`DY;71_!!9M|We`tRLwgB9!`1hPK_x=r+u7AVo^S9qTsp&WI)w5<D_us8Z
zoZkQ*0JqbBXGH1z1o#2CAK*SW>(B6SI$@jocYQZoTPqvy?|>iHoO$36^j~Y%;6R=M
z(+g;)IMbm)ww1x!b=0JKolSoDhX(^!{L$?K3!7<#j++Y*DM-DXr?c@o31|Ntg`Q16
z2LV-Y6$5Jd2}7$MGvusF2@Vads0)iW(Ie&uq2t$q(T&t=@Fj6@z{++Jp{V<gMJMX7
z(D#;PL}+D8w@sMdPJ>Ue$9=sT_{7Z1za~Qg*wJw!WGAPmqXE!%$>SE(>D5UYd6w!0
zuAIpD+%g2|+g*~^*e3_uSHEhLK+ro9z8!t>=jASm4fI)!n=|5-CR~6SrJFZtguS2r
z7#<5)UvUf5rXtcYVid}T-Ul*2Hr!f*OO=X#2DrWSn0i*<z|Rw0l_IU-m_wxv^Hp%?
z2PY9DB-cXpc6wopH;qi3JcybqPdlJ08x#2hD>fVLQhbxD!O8cdf9WJMmnuSOhR!{n
zFSJf~9&?gU%7+pKXBiF9CfFWm{bvX=sx3^iJ-L%p`yDM(<pizaTY0!}QQd~maYq1U
z3+w<h;dkE_B60vY(g{3|;(Ag8d(JPTJzjt_Dv6T<@uD|z!Z~LjfAo6xC6GH_dz>w{
z_cc`oVAxHq#0k1ruf<mnhz@wFaz7aK&ormP+Sws}l_rL>&!=RT96*~1@=JKow<PP2
zpM;mtHXJe*lpSIjw!Dq%J}dM0%AVrgGReIr<Oz?sREg6Z5zkC}4?E-*Mo(x65Au_{
zch_JZT|aT_B1I{zTvgIvR@-$K$yRj&tjjIst5yo<9~LQ^T+vw%hT#m<+!WglW+(Za
zA5%Ng`qALyGe3IE-JYlF>_Rt+-x^bY755qsz2#A7%A+J08%eV_qMOd^Otp)DXfvEp
zmM~z!N%`A$k7pIA6;Jwn?yuRpSWp2}Bv@5yJXd<X3lp1M-k|XG%hlt;Q6Ry8K_SBd
ziLcjps(Z1|se35W&wyP+#zZAJD_eew;t(teweb@kT7LRb=yTfe8>K4O;(YkM!e7AL
z7E5NzNE!eNceo#7SxAhVHBB$+kMnO(3PO50jtV4?Xnj6jaM2*2KdfzLrjqk3^9BO|
z08?XYB6D>qrE?%);jNta%R}s~{VG@WiOx9UWcxxT{oi|ManKH3Ts~lf2vNrTyh`-b
zm2>_8Ex`ou+ZiZAp77nQ#>#vP&d5xSb4MQ!rIo*5QjEF?-q>OWj=ce8Mg>6oe)n4&
zk#nV}6FokoyFkKktW)USzejB~BDsJc;M+JGl~SzDmC>vN?@h)uR?m9xf;z$K!}=hx
zbwihFO9#YUGX581=g^%C7cSe_wzXs1wr$(CZQIzfZQI(hZRd@h^PS#poW}hVYm8b?
z)tnFqk6qMAbqfl$+Q&41F*GmL+JvWLlO1A_wq83sDH#rC=3b<mklY&gFUecKK$huc
zrmh%0E>PtNUuxE#^^Qp^Y}(G<8;(9CQYtBG6SPAME{$Cc`u&yc<x)~aADPj$e0+IH
zFr$P1(t^tvrEx9QRK5@7wI5d--`Z^Yy)f17ALv!-N`(=3Ka-AZSk4uT2STu;%9<YG
zax6&rr1b8@#B=>~GE-tM>^4&U?_l&>rulTNrliU{ugSgL&|3L-MFzgQB^aNGS=H_P
zNCWtiJX=`vLZiF|w6qqRft`;J-UWCR#F`PDnR7RPnUI-{bemyafkGh2MN;cDIcMp?
z=<@x|6WnB^1;jDesso4K$WTPl$s}_=4q@vvd>cw2LS3R3pZ3X}?=l+8=-dz)@EI3t
z=OB6nnm$+OHB^BN>gf?WF%Qj?9cqiwh89AQRgamC$6QI`Asv&+d$bW722dn_Z7wj6
ztyR5o1y^_tIa$bXz=pkdprWv|+~D6HIgp}5hL4ul)8TYDa_^gbzC4x3OCx71D>LoU
zp?Z#GK&GkH>~f<Dfp$wmAP-M}RJ>0nrb*H>nBV5f!aPO4z$jzId#gius$zhrVdS-*
z(q!O39N1GzYy}$-uE0xp@EfGVS8|tsfCC2<Av@}}XJ``gC|31LRm5$Pfw`msQ^Q!I
z*e5aWw)No2yIhpGP7Di%S@ora=kMGAx2H{jj(w$o`(Zk5f~~7z#L*(^BtBu@(9S<-
zIhc+6VgT_u0G*@cT8tFpd`qpTUF#-%0nr8bw%pN?eO`}EE@5;fV^KN;g>-;N>$Al@
zMBz2oWo>~0tD$Pc%OEISJIE$s*JOGEBBWoz;Auc>8=Ln?xu;u|$k@C<z^csid}@ql
zSv+il+|>0;PizoKkEmJ>@8aGT9{DY7ZkMNZD-4$NFSXWQhG=8kys#$^ktk`8-9716
zu74B>9t+cxD_vjHzLFN!)H^ihl;-5_JZ~|Eiiyv;|E3=9x(~u7WdmHUI<iB!2TWJM
zV8}sjG#U9oso;~Oc99+lTd6>G`!qcAViPowK9IHGJPyHI$J}`QQG(#2h^1KajYsTa
zBHcgk<TfK92k5;|svdUxCH#c61B2My=9p!tN9FyXLgE7KFAP#=Gi0R3OQbkV+lKlr
zRgzIhBJdQf0%Q~Q&qA4LiwCL2qPQ*}lq!u*r9O5tnz@JPgGjQsMMJ>aF^W_j(#MPu
zz_e9&ZB+lnku_e;X)oKR4j0w9vIt1u(hei5Zl5RpgQUtOfTT~M(&aXn*2Or`>bIr_
zerh-;R)4uZ?Bnfb9;B}rS!twOJ<3ig{w08K{T{KcrIFP!F0xZA@oiAN`v`P2x+NoW
zx7Fpj@iG{teB#Qewtjc~H4b$<*t~njEaLx@JMB^YIcE@k&X#=2wcA#%AYFlFrZso@
zi&Xu}SQH7yp;!LH8FU`GOVB^9Q-*8pYnXezj1lt(S{mPMcpS```cK13*IGhgP$6;k
zgTWNRtN((eSaY^^R3Zv-hE5%0p%sPd^hDUlUKn!FBD${GeF)x&seyK(!eg0xCsgX#
z=&G?2xUTF(uhT7bN#67~Fy|b<#_sKP_n5<xLIVbG12JT=xnuwb1?*8fnMpT)6Hm?g
z*h}N%;Aq@1Wu*~Ax4t~8v836tG6#zIPT*H|U3RB<Gs|^amjRR}=8VE-<dosPQJy>W
z6C82oQ5d)#ybLCpa<Jo_>Cm`Db!R`B3A+E(ADOP(lZhj_U`6%}uns@uI6pBn-~rL#
zUXL1!(_mbHjsU@(BY`Q3GMcq?j&Fb6gj&16iPgxMS4b21Fwj(t@&5Wo5EJcgK;a?;
zI%$lb#Y*SuUO&yWEn&x9?gXENrrrY#A<T+~_eB+Sy=+zpXM_t9r>^cg1=ld>CqA*c
z=nerz^BOmvY5Vs&;3Xz&K=J4@uF5>h#Ss<;KLX|A0|2z8ZZo66@}qy#qe^uLh2aLW
zCIajV#%<m5^5Z&(S=<Xd+krV2B+cCcBcm@jx)HOL&Vjo^&lAds4@XwnWaz==T}Rw3
zjACW<t$95S{oZJRe{avS6l8H;^fAd>XfeX@X@1U8Q7CSI!@X@0BHt;uLnzpG1pzQe
z)8+V~kb8MxKgjKqN2D_&ztj!orxE-q2n+GQi;%FbUg4<o#Ixtm!n+PV_#)jxLw=8!
zL5lOv*FI0@N5ym}h;z|r?`UJ43aB0aY@0O2u_5fWNw&HJ2_-caXmR2}qkMb%H^GG(
zXR-<uLG>-QA2i{ixylOXUv~sM&hVHQZYP<4>a18kwBj?at<aFZ9*J3xN?9mAJ#=vm
z?Ft<4IkY^Xx_lC|K`Dvu7P$Mk=#rODaE#o>j&&Zl#P42V300NQ9`A}n;1=H*&}D5T
z;DOq1g@)~;&7mZZf=KtJcDY;3y%LFbP19{#$Pl`S#)0N^Ou%)2<QZFsU7>8dn{pH|
zknbVtZf!1pP(LD@m_K*YqHS&!RgH{=8oOi`9Vr+Gu`#MKmhWMh0A=Qwuq!0-Zu=#T
z$iRTCsi&I>;NLF%d7?KC!K0x<-nxy939U>g2=$Ob8tGBQeW>2KWD@x1`xsWa_vcY-
zRiiTp3NcH_REhJE;dJE}p_(^*LHM{zCU8Qbj}Xg*I1RFTl!J-Un35~dI2M&)C3#3t
zKzGeml>%o3<$6wIEA(EDuRD4T6#az#TgGAm*i3)?_9M&hP{sPw<zx;@-r|2GwUl|J
zVtHJF@-*7`Y75zxW;%=ie677uZ(=oVQ}xV-Trly566eMGMmPAm1U81S+>XrWKkD4E
zKyQ!6{!=Le-DY-qu5PMxO)<hoBI&Yzra>qh>uN~peA%7c^FoEn*pi@S=_W%C?r0~T
zkPf$cNpD=>I8pEg@Z{K9!-@Vo*gT9Q|K}tkrc%YZ?bJjAS7H}DtAbxFdzQlyajJpy
zyj%2J{LNk&WwpEIdp)+NGasbr3lin)3*mD;cX$n4Gp*EMc-W;ie7Vn9vLh-=jGW@M
zrgdh>j&1Z}vnz7FGpjcKY<LKO_@Nqb!(_`+_{g6{U58v+{z{@ENIua~GqTvdVz<-<
zekCbNcy-EBKOj54<e&BuH*VRR+TF7^3l^nG{b~3Lnu(aTitk9m5@#k`k0Xuyl8(N8
zXkgpV>+OeU7*)NjJ$${GOmmYqeB!(rq4}lRKR>+PdbYPq@S~@w3UYYoSv||&zAjn+
zi^jsD*^%5`f<H`BhmS^btRMdKR&5$i`dQJmd}VXxy1;$#)`w~Nf(i2#ZP(Koxi&CK
z=J+YT>$;knetv|mz;H{)zUg`V0sAh-bp+=QK^eW9vO9eI?|Uwj2K$btncvgYILK#Z
zR_N_q`y&fx&jFq_t6njE;Z%PwJo-Ac@pF4s3jNZ>3~UDO3fWz`Q-<`{*Xq+PQAkHj
zQ`d%>k+Z93Ry}Voxuix)wZ``KOJ)LUzndLSBM`-BXG}gqIfA(C9LI~*?qTN8aO7*q
zD6J`-n%tqiW`bJ9QviLISAcfH!qJG;Xsn7FdQ!C2S01zu`OaA@k+q$(8H(wT(WIip
zVc#E!1!2wYP|FJU(l0PO5e`jBG7GoZHP{cRa^rxnMuhF(^|CjA|H7&B0esuN)~#Y*
z-Bh1eqaUeKBj#~+R(<^gSfIX%u$hvgsbl-!S!g&P;Gd>1=)5n^Xfw~?r2a`*xXVQN
zb*^2+84zYv6^4!$pCk#K{-4Auz9=OdZ(MDb7!7{EI4^c^6SqGo<h~?*`opC&OAgz>
zd;B_JK`im72IFT47raz58$BPS*BkpzhJbJVZerSug`>ey?7!Aa9TttqF0&2B@vL{K
z>@l?kY<t<<U5Lt8*@$23^d#int@3Go_c(HojYwnb4&N`x?-kDoC544wANyDijVH1w
z`yF5@HmpjK_?QA~{&ahfk8=jW_IDP45Lu(g@!Dl%4agmf7iSMFtP^&sFLE1y&OzlO
zb{t`Ta?YcD!13<kHSAv7ms&3qFC6&=v<!P*5Yz~gMKe+kiG)Yn?Jy?lGni`MJ0nO-
z`FXa!bHFmZ`CvjnIG5_j-M%*abhBNFtqE9s+4w?q(%-MC_X;QiYPJRJ0ikd3e|IqM
zfG(XZ`MF*AUme)Zc3l`9&&kDulO9iAif*ufF)+2#$cz2Dt1h2KbFFzl)ZhTKJ~Y}3
zW)`Nof>9whlSmA;5SsTt&d!l%W=KWxI8{Op@wu91d|$^FCqc#KdG9KuJZ_)S9v#n;
z<1(f3he#L-zxK@eTtiC#m4Ju``4Ly1x@3!biOBqjFlXs-q~UsKmh&2a{DBicxN8vW
zyWDL`96kI|Wm-yqbtre)Vy>x=x0fcAcaH}(CDEr<^eG6E{KCSsql{mmHzQqV)S2-V
z7p2(p5!?}9C!|S<Utjjd?^C-p2NRheqjD`NeuCqd{v}hZwx&Jd%(u}HHyZLhN?i!X
zJl4>e=^#@op0yUOT_g+Sa@rH?MMV}d1bmVV|1+jy*)7{Ch}tsALU<T3gbcKzxYtmo
z>8fp58{yDZ+IIs(t#}7S%WFpUYaQ;$8<Xc<V|cFH<~m63W7X6OHJo6McOlkejX-r)
znGQOCP%^FOHNa8$A?>z|7gK9pMmw)|o<NW0-!nUZZ9lbACUr5M{>jmNmHaXth5KyU
zdC=)b|A@u+UBo=d_HXpQO;&x!1oYn$iGP31!1UZY#2)Y5r&n)<x>i6cQ!)gv7OP4{
zcBdm7u;$(8mPW+a_h<`U_M!pUC%!6&F|P({WI4J>9u&RcCyE>@op9lX+@9%NoGan3
zY0VebYf@{GmTWVcA<c>0bs0j|r1~wQyo^0}2{XaHWHm35r~)EahF9Lyh~n|9nrEgo
z5VSXSY^}}JiE1tsg7XzGw30hs3E9?VD&kupC>?Zd*#-r$X8N*J^_6+PRqv-&0L|hc
zs9NRRw7i&bwGBUl)odYXRXAc~LtxPAW5_2e@P%N<bc?1Hh8DWlHUmyUcFE`j$B-jY
zheX%_KkV#Q(mkiRM!BV34(5akD<zi30qd}NfHg5M0#-F<j&<}XML$fPHGxM_UW!Fo
z>A^6#2;>`;Z4N=_$WUaf3Ua)rJsW@ThLD<N*A{GDQtF0?s%^Q4JsYD48D5p@(k149
z$srk?@mJdAyK-imH><>pzI8{~>+e8p@$Zo%q`m28m0Q8!msG1cQlIexkl@owtS(iT
z?KR0{dV3-o=!E>B?jAwlbn<_%Kn6#Kbbl6wNr5i{u~4M>QtFmBP8t-rS_Z^0+!Ok>
zQ|V>W=U*ylG7aJkS&%6vu>(H-<z1y6q~lRIL&Ku#SZUp|IViO+ZLG-qQD&db!!g@=
zlQZpTzq_Fk(^!q3SV!<a>h}(u{}y6@H`*Pc4e=;$Ki3WT1u<~fI%KRyMYyzPO~!Xu
z%Il%$c@K&WtuU_hZ1}>7Q$G3sMRJ_eg_7+=>_rv{Q%8hVs5xV(dnA6OSsNA($_@`0
zHmMnpUeYXSH-45PPGp5$79uO3D-Y6XS)9pEH8U^nId)}~$4j-gj2Yrd7FwGhRFsBW
zO>F+xiS)qq0H!yf_@w{jrutKVS!iagTwuLSXBHJ*w-~OJu@M+Sh+SHNv1(X4+eNQ5
zA-<SoD$Og2X?Ko*OR<Od;zmew!8hWPUn)`WzddOdU;>NoFmHr<f5zACgn7FFH1M}M
z+h*|dleY}w!`Wy+wc|2#Bt8@K^~IOCu+T&}{f-;+gSI1p){LP*TG?QnZs&pP&aB;U
z2z8b72>&p)#pAA>I@x1nEQN7P>!+hg^I_?;>E^U|Pqh@fL|*-De<0O|9y*0WXYg5S
zWaaK)j0R5sUgn;RoEp1Av;WJI;ZbHzNx+8u%$jCgv?9!PD=jw?-&%MtXjfa$z5_io
zH-#!2uq>aOe{ZRE`Lj49xjg=Kkxy%9s<>(<ajVh$)Se}KXICGEH>7SfzP^zWO!3nr
znu2gTRuZpdmpYxKk>du&UWJuWW}Xv&tN``Rjx1EZ?JdB~7KL;x%0OV|+%O|d+Xw-l
z)gz~K*+K_x_^JL?zss~qY)Twq8W$lFLJA!}V*LV1%2O8V0-JPar(^FR@Nd7m1Vf1y
zx*KRjS9zShP*+J<JWdKGS3HH>;F}$)@li_iz<OF@6mFdVpa1+x6oKW}HG4<tr}GVW
zd_n**<uh8zz$G<J-L=SlQxTgRtys%|Z6(iR9afA07wcJvy~4qcP|w02i#gagwC!(s
ziC*&UbDyNfqx5+MedL!VZWGr29tTED;XFjC_O987L{)z<S?JQHk8Ww7_y@8S#!h7E
z68zH%#+#(UwKA)rx}!O1gXcjdvyk4#c^LJ@(@~G{7BFON9>4<+32V!jy_U(p`9kNJ
z@Ljj_hK9LQ1+l^Cu%m*03qP4$`@&*b3gd0VLUtgvg9xZI_e3j=@rN-tHJsR(334Wy
z5e%q*S>=Q@#EEk}OQ@?|3A|NQFM9}j;fL~kNQ;b}6EV(BzE@4tjkGEg26}8_GwN~E
zaE3SihDx^!+8KZ?w(hZ<&NZ;>P3#n7XYe_HCDlxvWQ(L@Hy0vzHvQME2@o^Olactv
zt1<7Ap49POGGM#dWL5{}?(42FfOHi+5yP)wf4h+=**K%0fKd7-$QDJ6X2mBo`(~R>
z^8V472|f(X&p+K99t<HKRNI5gq`?GQR|-HTVplmp_7NFN^v2JlW(J&tF!(^-L3+IB
z%uWo=N(~&+)EpFNxIQejf1v06E$Yu~PcODl%nEX_X^{z$Q*|Wr!hd#dg7DG$d8H%)
z@SQ_91$x)`R6Bx0z0~z1NAOcPmKpmJv*b>)$K9~Y9O)_yz4$V>6c%tJp0P^|7cY)&
z9CtrRn%tD??)lNDY!=rnFFfCrqBiUOLP;OSpq|W$dPa^%+PV_A(TqiXb|#BhQqab?
zD-O|hAj@9#F;Yb(B>lKsDM@YD;FL<s+{ix41<A(*1geh(sbuZU&xBnFk!RSO{iqy8
zA0nf~U}0xh1|k2?v5b=}0UR9kfL?gTQ}g2IBDOzxg6aUCsj{Lvx|0-r2TQyM;+cn<
z<j<;~U8QwxD@%VBebR=wjsf!P<JrK(zF3#>*SuizYXU)O`vpx;8<yodI@iL7z#+FL
zTi(XQ6bt74ILO7&o=`h}Ell4na=Iga`c<)`rKj6!lg?9nfc(k9_im#40~fYr`^Cn~
zO3qET^FgUw!im|gEgx_~w1ZLR?0>=iQ?yl%#Dz7Y$AQzSyfQT<q*L+U$3Z0~gG|n+
zf4^tm5{g*%WCITxYe!>NG`cJB?{jOuArp##X1(J-U>W>=7$l*lUT_K8^r?A5ad1%X
z=|hUozPkgvDzd8F>qKQ3lx%Y^2c?$mtR!ZSTYy2K>b@<2#WF>9jj5Y=)$Q#?K{uQl
zo*VT^Lp1FUAI!qnLO_oRiXEClbS{~&2A|&VzOON?_a6qG%t^D->p+vM7Z*KQ9sOL7
zc8U#Zz{wu?RgiceWB7m5=fAWzbg!Cy`n$VvS$f4?U9$h^!@ikI&B}Kcd;LPlqS+8m
zYN>-00(`;I-r}!wda;FgVzAuG)eb-g?FNgt*=eVH<o&1A*HB%eK3Vz0lnPf|<q5Z`
z+vap}$)mZG+jXiC@@U7tH9RyrSD+TAP65j!8vup7aZIK@z(0g^7B%p&upWz%zSZi?
zx^W!qLMoHJg6W@`h8Q#oxML=>r>&1L4DB2FzdJFO?PSC!WU-Ir_vOpT@hT0daq;jd
zJOn337UBGP4QP0x=scP9SBaRzeyv*(t%CP?IUB=P9e!*>4`lpbf!dAC=V;qKN?#+)
zA(25gp9G#goYkz@c8`Nstd$YVzbpP)8k#Zv#vdZXDI^soE3;VxKaO?;w5luW=xxOH
z%{NAgz$i$Yp1?maehoTqa?z288}%u+feak_ksJbZmeJqx0vE1i)j>`Aj4zw#vDV>P
zw@s$!e#_LY&MPsF*q;C!?y?{z5HRY6wrhtyKXZ`BR4!ywb!QH-6YY5jyL&2z_ZR)A
z9-HRVRFQJAf1w!w`_))GY9+a#Wek4bQn@S{A$lOnCcGL~Khf?oKPN?ggaD2?V;(Ne
zNS2o*AAeC{DUC<kD-?kdp8?VZRU!c2K9rIb-GBN3V0RJ|dG_S&htKLY9tY1}$i;f?
zoWTc$bR8}Ioc@_b!kGMuhRwQQtO|3m>MA8a#BWj>Xm_}9`1>Xp#3H6@ZRm0V09)t4
zH>18TUn-QwW%Ul%jeM5+(RiL-V^(>7c54fkTk(oRRAy1%`a+e#>^pzHca>VDMyEfx
zw~vm)atS28p?uBCJ~c8Ok-0U3XOP4p%DgRKmV>Gww}!KHydg26h-)0H4HYs|##ROB
z2iNGc=Sk35hn-j1k`!{<d#}3AZ5{dU0o)$mo!TA}!jDL?U>Q(|r$`g$srfj^cw%S6
z!xISqANpx~WLrGZr1WSWKY44z1%&Pq=f70CR*`b6qHhS@s9Kxq_JPP}%C*w29P7Bc
zJKOp%DUL)p!|qeUDd$<!oJC~hX6BbI<;`Y}!~hhwm!8&&U4mIw74>__EJC&ebJtKH
zF))MlQWKROQ>odO7kUx$v8&u;AkC|;c@)J^rDVWF7o8CGOnaQLuv0_m9aQY+>;)l|
z^6NaRgn~kkR&_>{l<Yh)Hyakmb<-c`zjO!O+6yYnh}QS?KWNS!iPs!Vf+>MiW2{TM
z!6ZZYOD|ysd#?$T@5K@id&XF!7Ou_^?7$BkFg$&}x5V(T#_BEY!O*y}Aq-W_90E~S
z15|km_UY87n`?`JKWdb9W7n3^b<avu0fi>v1UoM2{59U9(kl$*z2b~b3t>M;{If{z
zVgx~sVG|pvc6%-lOy%`uRkp}}jAq(7av!`Sla+&i%{W0ytNWVu9cnL-f7HI?0NHc|
zO{A@NqS>A1>tu43+vmbs%f3SUb`NvAT=ktRvfHCA80{;qrl1mECc8XJ@EVg%e6y3n
zDHSUP>H0q2@0UIw-5p4Q=2&-gKW0di@s5~YTlIbxVJ)MG<<kVg!X+mqpM(TD#F%T)
z;Ps6z*Y%J60~rOtd6FZ$+%vDioXZq_x1P^kEbM*Ua{Nj2Z_!6RLq`*|vj@asB|SY{
z=@G&ag)gg5x8Ddn)&b~S#MP5r??v-|?>4lBtuz|N5_D@U#<Hg|7pc-CZ8<-^Qo_C=
zG*=@L6p$O~9Qo4j;uhIBj;vH^)FA43^#Wb9?Ik-Et%Q~BvnqY@S|kB$Xi@A1pXpl1
z7mcwZV_bpWx#Uu{cHRZ>ays2%!3MNLtO5;PHtOHK&l_l(oOWhx5kPXy)M7OFzjUQn
z$4daR=I<*k)gm<5Poddj-0mkXwVsB8H`>8XxoHSX+;KToN9&(&^Lw{~M$4O5C)S~!
z^3CJAVywLWtP97jgoAAE&r8eDmdZ-%;nqR=1n!($MlDROJLL6pFF6Cm63J33c|_mT
zN-Q9VLjf3y!*vZ`Z#{8Yb%qQZ6ft7+;@JB|-7u$|_A@rm)p=1S@5dR1O0tp*ixx^K
zLM|wl2;)Bt3)6&5q_VptK~f->C`)STi98}!Lz^?2h3DmhaDQX?&Y3c?CHXB{dnYz;
z_+0Ut%6Gv@q4N4Acf>0$$6T&!)cQm-CowDa8Q0V+qg$Jeh?$db=FvInX{<4!+3l0j
zbXl8uSb3u%FO{~xlRsr=1oCU_z!&?LBikRfKN^JzJMy2RO2=z>r{HF(oVTA9N&h8d
zRI4%DcC1cXw1ZHdmg%d&2qoa&4tO-89kGSP2%Dh(;p+Pk>g9F$*@WpbMvBW(SBwj0
zjSuDf?9yN50k7rm-DC66hIS=)`DvxHjW&sPo`!8Lb4&G~x-CpGVybxD`k)g47m)bP
zX)11#P%{SsxhTA}(GEU=g)7GN@wsytvDR#ri&E(cSxu&Nc9x4tF7!<<QEIwxl+mB$
zVukP%h*Vm!Em-u&i+L0fbLc7v|L6+;jz#+QB5+JQN~)|iG)MaDCFNXpd47#%ktFC5
zp#w-}m0hdM++1XLq5h=U<OIxp%wNwV^I3#PLo~9eIUG$|J3<)ROX#T^O|LIAor5HP
zwB9V<Z!L?MH;E%tCr;_6cq|&Jr>Vw>o0Pzo8-E$&dJV9XLkSUBKhqFu9Amg5mU+zO
z>1=8^ABl(gFzQ7MjQb*n*Q@OE#6%0m4_3cty*gPez?<Oj-RjcYPXF2Keb~mO9nZWi
z^iqwyB8dQ&=GU7QN_phl{zLkRp=9%^j2+w``j3wc&O{zog16LQ#^gfdsQj-r<pB>B
zXR+unc6zcCkj*s^BEW_GPefakbkB(=^by~5G@I~%6&6dl7}})bu3Zs^;8g^_!;U`u
zv!j2mIy&->8D2NC&nNhq*2#^W@?`|$j*(3E!W2{H;2XI|df|Xu;Tqx^LxE-LDO=F-
zhSMnVG$83RJM;s?Y}u<U7d<NRKEYc`EIpR4$Aa8COxVuN#5#vamR+T?{%11#@3nZf
zQ=?o5QgC+(&}dN5zowaj+605)xTgb|w<-U&Z767Ad!l<`mPKu0+tj;E`v<+&4YFo_
z(n{Iu^@2Sn6is$D#Da$FVns%SFI7h77V$3eYJ&=-iPRVpl6Rc$4F0dEbBWkMEP~hp
z)LezY&6Lo5w+X?&d9aRJVyWb-S6x&bF!Y1{EMSZ2aVC^(&obv`$Vx5rf|g#dW(zO7
z6JcHx?;6DU^17v^)USRBg^BvWHfw^-JBS!IFXbUS3>oMvmvXxRGcPB7R$Pe(d=7L{
zT_OHLlVnB4faNsS>40I<mRqfKV@p^02`$>@=aj=*5l?kpn&-vRgpFl}x;PeSXpd^P
zrJ90V=(pY4^qrBbXx%d(n;5(O&Tr6OL6F0A2_2VS?>Kx1-qB8|`FfF*unj@jzjJe0
zaqGL)AT2qE4?ixCL3ivn5Y~O%NSksbKc;RCOft`Bf+kvfB-YzuGs8JkVc_(s6>5cX
zQRcrZ*In|pEfd6?_4|o%I6a(S{7c<!aSYeU4QLZJz%OFUFXo{R_Y>uit$C&;8gGy8
zCO6N~hPRFf9_Jn|848J7=C6!SgSg%`^|qs5jS&K$<}rljAI$-gazrqfUQpz13H(2y
z_5~3K)#10xSbFp=z)yxpdhK=WZ>o`DL8(&dcsUVFLs$XV5$l!g8gZ3gVt~Z@cGq%R
z$^&yUn(EJgRm|_yf=`Pa`C07BRk_?mZsZ-dD{mxcf}xKKO18>ICmImG?3eO`N)Lyg
z8|8Mi!5Y*4d{Yxb$(!5TsN<7fwz7nfqB#WHaPozOMNks*jLjxx@f1kxkyiRA=Y{ky
zW5lT{Li6cX(owvlOHkqb8l4c(83Z2WzL}kehm@mmsYzT{;+8<k5|t0*@^os~t)E2j
z+gg&4Z!vbj1>&=``rX;F+C!I)`~RBoQu>!KKC+?9<IK5ZnNHNJ4Fy%F({st~nP4XO
zWuaVEF48?;o8VTL?jCGhgPmK@ay5Jg=0&WXUz^xWjZ8&vUrQ2E&RL61Zfs#{w1%O>
zA1cN+=QvYE;PL4I-Se7ssA}d=Id+%RFsURsXCOJ-CZWyuAQQ>2pwQQ&*dbj#H1xQ+
zMF@1xVA@LzWEm38CKrPsh{Gwl<q!wyfCM|kk)V?1wxgI>k8f9ND%oi!w-D-{gj+<u
zOqy3N>D%R$-SjMO{gx#MOiy;Mq-fg(Gef0AUbb<qxm({+vEacPetLKbs0Y!MO1H(@
z6~abU@D~vbQR$G3u&hNX1%yck#!H1s(5`tMP9b2L`ox?a7$0w|<8DoV1f+a#N!}K0
z;Jhaf8|<mKlG1;0f<{kg$!`lPgtG!_U_Ke+YF3<ox$jjF0qt<hp`Q4$>=DX6Meelv
zwWbSy2a?a!JSlB`j~y(o-{bT24&zP7MA~0h^9l-rW6Wp0?8Slfvw24m_^QjXv%tpU
zDJt_<WnAj^02eTV8shq4SL!l#a>MraZXp5`#V0$lt|qFeQF<KqNYOb1om88fx4`rG
zXj!rz{S11hO$EY)=Ls)f3GGyR{REMcrCW=J=qd6%HszexK^o}JFSplKIuv~fL|ue9
z#dQTc+{KX{Y{w!Li7jE%eN+MuovOfW2xLB^rkSX%OZ*SAs2M|Q<A<TBq8<d^bln+e
z6z+jqB@}l7DYbRk?vy__mduVT#UZs^UoQ*1fn{a4a{@`>YnY!ljTLoSxM~hh-Q^0e
z<lO}a;3;649P&_#3-D3Nkl~~_$%#^*>2IXl9~kiOWR6H=_T)M4&MZ)H8PSaLG5(pO
zMjM=sYKXXmS4;F0F;C0b!)nGQ4)v{dsyt2J22f}JTs;9FXmBS#e?^xY&V(5x<{5)@
zAkXiXVY0?*u@j0IGe<hB7Dn{u<WDZ6qyrS*uVoldx-PhMxviu;&}|KvW{-1z=?NNd
z7DY@I;<{2+GfFx<pND(t41#Qx{_D+R5T!d5_<h?^Ru?8>oTe4|ibTs^8p8G9i8NAn
z8P`Ky=Y+a+)T#*E9I9gIB;F|TtB~|rw@M|#viyPm(p5x>Y*?<dbZHbY%3lhBiBH))
z%$~cv^iu}Xmnw~X8mPhnmtBh{)?KSHHNxZs(aUnTHjKLmVPjUaA4p=$A~q(Cy^MLi
zm~XG%+coAKikOToB?<1jZjGO)b6@eDo@trq2&h~v05jdvRmS~sM!F)x4d5B)qQV+j
zR7?O22~Xx^PLMX`spX}G%ul=)Vbu|n#R+YrIS^A{L5dBCs5nGFG!6gpD@0V--`0O~
zGW5RQ46!l4aFwc&#sf|Kie@n)ISdn(1sBl&%{V!#=^FuO_cT?8PbKX9!<TLWyYtcZ
z5kZvp=}(GYQCX>r1#e^UOZ+e*bwtUi{L_64;<38(`rjC|2S?^%yvy9slzvHzZ5z)=
zO$1oPCkl8gVg-KNJ(b-x^uu8M6UIRqO|^FE;o0f|Jp-k?Ek@GdWxCXCvOg-vNw@dp
zI{wZ!mSS05mOWcPmaz_<;=HW{(#AVU^6qT%o3JT`2<ZRlsx$vzU3Jd?mlMjw#LWJG
zch#9$S(*O-yXvaA>lpO0-8^(Cl()C`qdQb6!VUi!TDS8^N;@#=<elh7cXp_56=CT9
z6(!8g<YoE%2GqW)uS!4I@qBKbZAIjZt3>E+!WcuV2XYRscXD-z0ySB8b#3bc(bMZA
z(9;vZd3)>eWP-j4xWjq-F)ptl9FjiNLupZBLHRUI0vjm=StC&dHsyc@=3oxc5e?B%
z4vm8E9~`3mC=h{BgCv4>ZD|27a{^5vQ8ds%^wN%Oz*<|F!1{2X2?PMk5}5<FH#87!
z5ncdUN&Hud2Xh6f05)nf94|)|5`+vy05gRQ_xjd=CTG&Yn$ZePS^5tY3VMD%1st>~
z$=D3cdu`YTWY<80b&1dh@>K?>2+1A%TQn9Vg!r$u)#ZDs5VSGe3#ia=AZ2h60nFXm
zPuj_)2}A@~p&ZmTRTUU#&ahk{MC}*O5cG=;4~PTub?@Y7>PK&4?jpgI2nx)}6@uGq
zgKGn*<_2#72p(JwA(J8&9>}%n10TxOF^u;FbSKCiL2$Y}P(T|J1g)eMXn-O-0N?^H
zbdzgThgav0(9h-kL;uKX?nObP6<Pde9r`pH&@I5lLy7go>cKGAPygDAIx;+YCNQx%
zH#zme0Z+qWA<sv_gUQj5yludwKpq=l%WjAjSP&B<6PW=C<PIFjC)AePkNEG|8RGZg
z_{YxwaR2NG&Iv+OU;*fJLo1}fpV3!0=++Pj?h@kV@xA@19~pv!V_*sa3{*4N?mCz8
zr}D=XLgzQC;Fi$(44U!4JDHFp@apyKE}%>Sra73C>wiI^<LEBZSJ*bzmrXxn?+)d$
za3iSu!*h^^X9p+X_m40jV4>hZ{=a%+sFtr9n7>o1&Q0M!p})2-R?@##>)#CEjNh#U
zGl9Q#r3hY&bXWsV2{Q&x0GFWrzK-95(I1KbFri}s8t?s6UjaPIj{jjohv%Ox27bp8
zU0Yo4KWGl6+U*<4@fAaO?Shwn!*K$Cb#>Vq((-bSe!bHS2g>yl-J6`=d=lO3VBGT!
zY2<jYCSDNjzN}V1do2*$<qhQ`t9R})zz61LN1p}y%1=Og{k{2g3rOE1V82>;e*Z&$
zqCy!z`%HSifddIrqMe5gK9`UZ`1=PUzAmwA2l4$PF$Ja!LxcE81M@aMf@+HV#p<tD
zRRkKS{MdS;Kml>A`i%>H1J3mh_+umlL~&0z0>9r93L;cLsK8Lpc1_50xA!7Y|KkwB
z7>N4B@gbMCbZKy3iTCF4HWG^ZWw5cW%L^ob)n7P(+VuYYk6&*|fLP&X^Bb1m$>|N#
zmwOLD_|`&{EB}l4HZpr*wHtuzSzyi8$))|H-W9jhznK3K`UU@<Z!P?jHu|c%{C*+i
z_EDd7@APZ-eHV1km*ncd2{a*KvVQ{V*wrCqXh<_1;5PSd`i&`fTfVCM3tlkwrSc?2
zp39gJz>Ve)^K&HT0WS16fc?YZ0k~7B04L<T@jzko<3HE)AVdh?AW>|o7nCIHavyuk
zjYaE|3*yU;69D@|FND?Hy@2f8q8%4++4QukX5Z~R&GkW%WB0O+cd2xl`MG!ANrul_
z)TU^)TxXBx(etKqM*%A)h4dRWY<$tpFZCSlx=Y!o@0I?)EL)GPv(J-y;i9)4>d5*C
z9pL@c_f&I5qk|1!u(z^VjiNZ%Lz82kuoB~iuF5M@V3EZqAsz!_QZ8yj{B|0}<Kx99
zlE?y(ti_v;KJY-9{u~_l3^}{0=elc!(IZ%scjk6BVU`||30|OrAj}FuGg|~NNG{5B
z1BAWm&fqy-75gps{lRA~Cn2wr1}o7;_(yh-QS9npaLE}0=hN`7+1-scSIast!3kqR
zvzCt+P5;z}74td!244KHfrPMD?eg}K;!3aY3wuT)eOx?)TD*b{g=|m6f82q8Ol^@G
zIi{<}w|{iMB9|2@{jZ_jJ}@>d(id0Wp4Js|Ip;lZy)J!k88Ut^!$X3!Gjro(Bs4P@
zC?y5Z0<=UXUSWEr-%`l%KC0=>Q-~kTz<bdVG9G&&`<8l?j#!D)bQ};7qahd~N}@=}
z{AGg4t$h@~Dw&+XLFB#Bbczh+555$$q~j*$F_oui)Co(=_^EOS5-P>64Lq_kPIj~p
z`WuXDd$}+ixDz?!g|pe_;(;JoIZAO9MJo+Z#Hb!{o#-86u-9HN3D8c(p2&t$cryq;
z4Vjte5^<|TH)cH;J^aG(n?sU=Wz4U>HoK^lcS@LJ@<mVWE#Hcy3w0L7dGtzK=ALHP
zd6@FBXZKI%B(^)E5f3xWbjXX*_@ZRWRv5mP#N#ZwVljKe`5>!}t^Zg<1jAt+%N|-F
z957=;;kfIZiCTqG@rPM`d_UME7~Gv_f#}a|xn%AojGxjcP%3lOaNUe%<9}bjM&f2G
z*<>35Ty69JY_NP}O0!ZsHAT+??~v7ap4r|EldWCQ5UKSQxMb2<dyi<X*kAE5O#+%V
zb#N}G6<eohi%imo(>AC>2Ca##o;Cv!)l`1keI&wmEo>}KQa7F}@#izn79%|Os4CuQ
zl0pNJQb`ujQ}xxlSN{EXv`6ymexVn4%3Pt}ZaD3&Ft8h%e--t4@e>cvc!0G(S+)cJ
z0xihZ*qx+oMYlT@y8x2Bm39HoYvmt*a0=Q-U$QuR>+8(QHT1#qyOo;s?9Z89G6%`Y
zCBTu_qK~YcPj2~6B3QA_YJDGQ5{(kXj5J#L9VCfH_=_Emp8hUQ3YEal`TCzu*RHaD
zcUddo!YP)GYO3B@xHDXM{eS;qmv0Ys0nszGKaF>Gz%}!@u>G5`?hAxlQha5}w#W#F
zEGfeZV)5tBLvmfB{7X7{s+={Q{%b>dU?~Mq`S#k=8AJI~h@>avcT^Q>j7#aVM)UG>
zedqMf#L!}F(?y+eLWT!zfR5d>i<zS%+NoKq)0;%<J#RI-^IniA{_MjtPE-G-k;bH-
z8z04%9*YKKlPklGXXJnq5K6)A$-X>`t4F*k-pKR)JV*}p>z(-p&|Sf4JhG+8nhN^*
zQ|+YoVxINYN3YUqiG`?ci8HZwvQ>79C;U0Dc4POmWgJ!6SpHHcm)1X=1Sg2xKHU4V
z;>4Zfk4cqhI&QqEM|nQ}s%tQ5LCh{>iCOEbZz{qpC5d&*^<!dOl$ql)39*xR)Wc5u
zY`$e^i@Q%i94zn<A@%|Ckq`A|=+@lQ^9W6+mke+|_3)UarooaGe<o->XI-5bomqF7
zu=3S396a#VMsoCRY%J0z{S(EQs}K7z{Q)8$t|@BHf~T4G0d9fslGKIjC7F|fP6_Z#
zAh$wgcV^faTs*8ssvHcwUhyLn^hnSgs^K?o?8cM)p!x%zoxFBsTkqv$#c?^xF)Ywu
zR4lO69o}WfQ`q8Y<4?HKvgqQvX|>q4;!${CwD0h8ZtTddpaqopyBWNjoXQ~e&g`Tc
z{j*s~SYyl(b$GfEl!=ZV>t)YG2Dp6logHpa5b0^2vGkPz%Ps^oZ51_NjcJACx*<&_
z@+Gz`b{9g;Y0+$(r<=H}H9UD>8dPghme{<c#{0r1IEHHlX8@{&L%`n#G-$SPr}i!5
z;Z?X&Tp0}x`O0l60Q|a9ITPXUqvp`))>XbPY;bG!`_12$f$A_eAQR{`mt$^(6i($%
zWRK}xwf7v|-uTLBlsVKmTvI(bZ`g2Dm;yy|<}`j}gbmbgCiH_Z1cgz4ci~sM_iinI
z1sDISiJgw^($(&YSp7D_yO`QGyf<t*3EDN?b!D`AP9U796-Z&fob$^|`L(fL28Ki>
zz3s7zYzXVqm1LyN0N0Ief;nv`5)#M1!t&o*-U8)Fwry=k2p)k^xdHL4hK>QX&msE|
zRRej9rMd5t0y(Z~TV*YYVEZP$4p@Lc<Bwz=6C{CuD4BBf>CL<JPH!FOl|ndrbW+;_
zB#INB_>S57-;@MI%9M7a@K=(@U+<9(7Ezk69X&RxEae(r+d!0OGuB05!xHJtRN=Gd
z9w6_2dV=ynyb#O_K`v-B!EG)%k1a1Kp>Isc+zlf+l12&Q?nDI15>JjYSNaG}c}P{w
z5i(K2YGuBLL`czLF^%h{*9KOz2dJaI72OVj`JVW9{VxYQ;Dxq#1&!b}i=pcst~vZE
zF%Mrc&VEKCw#0~+pG`wpVKBK?`sVE%{L~fbtfNpMYk8CNKj}k_`&Ip)PHm^S6-{k9
z%3%GP!7}<P*!3yVbUFa+b$eJ2tPga)#MznqT?%PckC<QiHh$*b!ojm4Ys1w&#Dx?W
zU5P_HS`-5OQRGJw=Z3BG6qHsO`GDdEU#+>X>*<6Xdw}oIGzu;Tl5@rj)7<`$+^-1U
zd~GUc9^)RZjnQQo%%uFV3qrdPw!&3L`hy1^0Yp)|(FIbQyz3$&b5*@THS6177@gvc
z_3g$%9=wlqmKHw5T=HQhT(BmznMJ+c!fVHX#!X5mk_rzHZaAzfD^a=#6I)@TXh&=H
z@jO|=v-rt%2IjX#gP%a{rl*SjXtnIJ+wdXkua4Mhib%qnXOs-9s!t<7{BBaH?rxUo
zwnZOLSjeIUyZmDvU}pcn_vuvIuu0a;2&rZIHovXJ;Iu$KW!L=eslM$DLOk-haKD_P
z*2~!LFKjmXPqT&gNpZ5hpeP5*H4VGHLrKnQq;x@1%~l+z%nuEZ9d<Lu8n>Pn!joPd
z1i^~?Bf3Q%yFVH3D~^+01Gu50i#*8GX_gBK85~{^2~Wl0QiU0kt})0YCFvqVb6d|a
z=IYqYN2-rgo3i&H<kwxa<-V+1jVk)$ju^4l@UOCwnQ4}4<-^vYC)tY(AGJrIZdSEa
z#+FH>gKL$D;iGWSn>W1=pyQckWV}^D5(mAGAd;GA$!#;jaK$6J%!0gEiPfp1IE(6a
z6X6bwJ>+bSeU_pk^qzO~+gGk2t|M~(?LrX7SKBY$?mEFBpRcYrzHEkXmmk~%{*{;X
zIiH^SbvdiRC1R#G!e847O+tPCC81V27M`ZDF@GA1FX>(}&1I`~lFt({_af31$3zAG
zbNnTv_!3xiIuI{}-+4;*@krXM37g6k;it~b$isDQwxv#HVG;J|AU){md2s=LrZ+ce
z7SzRP;mUvH(2x|4z0)XK4>)0z=sDs_CLjRh{xVba1kl&uYV#0Lq<+)OZcTEQsq&EP
zBRqc~c_A=QA+hw^&E$KNcm{=AEc&5EU~l*qpwJ!rpWJDDDa^2g33ejv&$JLP4VnY%
zkQfDdUa1<KQsv_np$;dG(sgFY?iYd^I^E)3YZ3znl5TJo{NS4n>96a0axckrkc8q%
z-ZztC9irb=at2(Lg)WM3ZRQ=aUf9#`&{1puab}7#cD2n-HB)jLlOro%z~<?3Px(tG
zf~iVo;(Plv(S2r;#Rkb1X6b+=CdeJY(`9&t7*HEVM|D*<y`sVfn!+zgWz-U>6dJgS
z>d(qCCn2d(y8lh+aI-K0$NwXEU{OFgZ3gwtkZy?=oYRDxnP$T;RYu#>#ZduJ5eL{Y
z{>uC|29DmIz8Vf7E3lr_sBwV<`!2UtmR56^jQ^du1^Xx1)kmuroDhqCL{J#HXQ!u|
zCH;C>#;nAYjHO>OV%Z!uQkmuGJakqU&Ii?ga|XZZvwqZ4aJnOfQj@{iues4ouVrcE
zD4t_%mJ;%mHs27owOI`9bnJ2&en|KfLD!>~<m6!#yi<SrSAOu|a%ve~0&xKq^WwD=
zCas>vn&~Q$VUz8eM_EANv!kzPTsy%U$e*3#Lc5B+yZ~ob_l1S-#Agk{I_se`>E~Ut
zOz~Ta!efmudIi=@%^pQcxb;IwN_ewRcKT4MmL4y<`31v9ap_nVq2<Q~y(}{>B;Z=h
znzvsmZ7S3=aqhPBq7gk@)zs)O7xiy$(Uti9%?Y*BFY?)_y3NzMjbAidJ6}#-V996C
z`Fp*mf2=RUWQtU`a(@-~3|s1|4%j3M1*hL`7O|I4qmIz{1aD()!I>XHX&*6?s(wMX
zz%O<e<C2$NeTrV!Z06&2XFH<TbfejD1ol50IT_a9AEFL1xVoO~+x!AClim6DG;?Yz
z;YK%+?BdqxbMtk6MevMV$5Vod0rY%ZaHfg!LMXSDQpD}bLZ5Rzi@f_%divKUGrM(k
zF)Xc`_J%-Axj0P|J^zYP%qCW|&vyR1Cw)8g&qMT*b_yOU^n7boq#s_1xfVCmodr4`
zU)}vxg`-5>e37-LL9BqfQ324sTn=f0{vR4Idg=eje>WnVoYKido0H+i4mq5h>!pc~
zC(G>+dT{t7bbSzGvi-sd<mhS(5hX7qW8k%{-Y_rWB6@H|!$APdW3}qEk~=Y7sSBl@
zN=?g^5pku8#U2FAw(GE!G=1Xo=g0BQx!QxKe(Bhc)?#ThE}897b+h7w5lT^BR}M|}
z_oVQrtS?*6V#*T{EDmTQV;)``&cLKEo_`&L`wa?8%qmV~Z!zo++suj{+SFm{S6;~x
zj~#yGPKUX*#IJ67lt*Thq|UusNw9V6U`rdXfjRU)8F`t7hQz#&9s^D+GiS@E=jxR;
z2q#@F{HpFCE2p=LesSo@UyiJA9;=j8pIn1xZNyjXxfl5b4^=DW@}Cw@o}>)6ru`^Z
z;AyD6j$`*M%ED?)&_64fldJqLbb0P&wOrD1Rqvbf*PDWv{v3_>_%CCPVx+dZf0%`u
z1%{1SZ>85FPS7*xPqEOy|IR$v*Ll;c*Z!wgR<2@sKe`CHZ2uq~{=m6DVdy_j4!or7
zMj0RivBcdIKFmdXXQ+N@TCOYcd!_a-;tnldrS)fYs?Tj@w?UQET|zimX!RXs)Q@~1
zHgR8EVB%&p5mW7Jl76mOW0hHGSEgv}?jkROzCUzs0BtRP+nPt7`Z(PAzMNC|?l436
z<jiQD4=8m2g{YUI7j^@4l=K(7@%zt<d2{*qAPiA7g=w*MP)0;pOS}^BXJK{;yev)v
zLgF-4fk+e8Vs7&o%`e;U&0N!T4o2p1?#L)Te;lC2@b1+H52IBv7stQ=ST$Y1p^{tC
z`nTI^T)69@C_ttc+f3R*7)?ngeE)WBzN--{DL&XLKlVA;Gu$YFm-J}JCwTQGk(cwF
zQ0p7(B2MP&R`R8wlPnTS|6=xE!oV7KNMJFy*4pDZl|qG+RgxEeZ0ApdVWgBNpM;s`
z5l-^+0V`|;+cWqn!i?%r4CiN!_A{bx_p(~u(J?qPIH~lCG{&fCdNxbXZLt|XAET7D
zCrx^>a6!RODsf98QoD2>>mvLwOdm`j91}Sgywb-w#i((>UDJ486db*)XcqDr5twlz
zC(0g&GkK?{o3_W9!$uI-APiHK%R-?d{2ZG@Zo1%aDIq)!0AYW!yCV}XO(JB=Ds70-
z1@?y-$}i~;@2uLlyvFb!J*UOLs;{#ib~6j=Ef*@{$*b(r`Ugy0|4ND$sM%UA2GtX9
zxa?9$=N8`}H|{bM8B7`wNqz1bu5l>3-WDehtZ9alihzx2s4GEI_xpEz07eo&Eu~m|
zcvbj=3vujw$l8wFViw5v#s1B@9wf9sl|BgcNg?qZciy0pwx_<p!cIvAya=s0s*4!@
zrlTex4+@8R8^3(92>VI+`9iDF@B%s$<zi8IcTQy5j>nbQU>W)|B*e5zhLdOhhN>Mi
z?5QvlfODuZT7{a13-r4M5*})f3J2;c%O$eTbc%JERIr9!O2#{3$D}E>=~ZO)Moj#%
zohu+Sioq7w1|FndH~#^}l?$plXXU)XHI8S{**595?Fc1{zOt(9K#Y+$PzxTXNyTY&
z)dfVDrn=@BpPKJ5K&1~r!h0>BZx-lx^Za{P-_$E`?Bopij4eEY<^T_~rP;L<TP^MO
zDY&zE3G)S&pwD|8)k=kn4VIy+U(zO<e#Wj2%-@TwZ0OQrAD8?G`LHkWE>V3mHT5$Q
z@W^zLY?F<V4cKOL(Uo{PA_(?;ZCPVnt)0BSsma2E_d({+W9zqG#ANgJC3BC0OztEt
zt#{l;R%d8}N)790E}<DE4)3i1mVMgj(Q^Q6^i3X&u%N3X)mLM5Y=Y5v%=yReEYrR$
zY70~6I=>DnmAzHbd&&|1B)l5wPATntDO^_TGK~B!wWeU;E;F-B$BvgE)^xIeqF!RR
z)kDB6mWWAWn=C3jt<?e~Uge_AS&Vjco8W-|aKBERzC9rRFN;&oyR_}UQD@BRfozas
z&<)qH%(Y^OIeRGk#yKS?Cwy`>hc<;nEbV_z_|#dmD)tK77z@2QMCh;vOVJ2UdUA+-
zkA^4riYh$~xZE2HZFf@i%F4uY5I<UC>MUs=c@^)%#M3hZ7xq-l9%wz6#y-I24Sj0z
z+ujtmgS6A@zMK6ivGn6dy|<Ev?9Hj09YnE-+{{`W?u^3qFcm)rFDU?1J&myn)@#2?
zY_Yg$DyC!HP!xVCoP>QoH7^aqmK-F8S4xy3wqaL$nafyjE%r6Ugkf$@+KNt(<64(=
z-Mavr2VUhR)%4-kZ9I@dB8z`{{fR-?J|=Pt=+Kp7vp<`_1&2VL#y+vy84I~RRZQ^3
ztVe8cl^5$08lI%5sp(FX?LK_RY7|5g;;Mu!Y?R0RParglX$Ze42Z!~af+C!HtS{Bq
z-0h|qkO}_#+T-(_So;R&<D3XBg0z2wbyIszgifp<@Uw_Bu0dtDRle?1qa(~a3UwMe
zYf|F9X91#-JBIOtdF62O7&U{?3BpQ!iELmC=2{TLI7<;r=RF7%)Bn@nS;j`PEDL%}
zV;D0tGqc+~W@a8UGc)s;Y0S*b%*;$<w#V!?GvoT)``+qG_pIL2?*3YBE2XMR=*sHu
zPZ5!w5pi&HEBB@7E0xj4&3rvFgyou6=*1NSSP9!VW8^egb;>B?kY|>B);|PC;1GEP
zjth8Sr$BbaH3Nr%+?on5&VrVY!|~NCZ{VBY`IGmbIh<UL>tfkyMtvf0w(+f?lcOay
zInK-11m48q7eY-v!hSwYP(^*$OHV7Iqt{)wN%!4A);-sGYfDNCpA~Av!NKuKj>=ig
zVt+!M>gk-4vR<EC<*hHg#DD->(`q3;9==5EC>?4_ChuL;FYX+G4J%B`%$mG|l>|4!
zI*J(%ws+Z)ZXqdch5SR@OYY+b+m??L=3YQG|J>nC2Kf-9lg6KPUSVJ&U4j^>|5*7)
z37<PpsmU$}p^r)><fl59AO$$z$`!zIMHFq!t2#_uvx{j?K!Zge>jB9#U?O+oBpP<M
z>}&py`sKB<fUt=~XLdDz8G-F@o4dn1IOd$h+-vxiAaQQjsSmW8m@Nwh7X50y!~v)(
z$@kN^Ec1x9V`kWx5wTpMZkjw{9@!D8-$8U;$KtxWM#=bHJep0C&R4lee;Fo~9n6!^
zW-l)Zvx@jLQnNOa*TbP`vb))9nQpZOOr>uvMPW1mZMkykz4`Ygl!BZsGH;{a^|?A-
zw@e$w9*`kiwj}oKr^WHs3_=!PU8Fk&<V2jXUd7?B+Z{NG%VGcp)B3dl9#dW@=X`ti
zDR6OE<Wle~im$K2eYfmnxbW0o)#L46WvZLsoy8JpRq-nEimC<&9L0(BI?%0)3s%mW
zllV1%WGrKi8ysm=TF*MLq96rxt04}|x>&d7h4}}r2snEikYC%<WYAnV1tMOF+R;dF
zSdFC!LOCG|R{ZW7!#k|0n?%ON%sM7i?$}r;Zi?Aa!wC)WhOVs!yGy(c`B<iE5%)%-
z73<T?BB7ZVs7uH9*}KRR7H{??d}70M`fe&*PgxNW)eMJ`2E`DtT+P|zOuGevYco&V
zJT<By*OuveEn}jp5}~fzUxh3g=gkQaFU*lT$#_GPFcu04HmXsR0*_xAk8?i$W(+Kw
ze`{CSaFPac^?sjFav_*BO&Warx`LzE2+8kZv-YzDPGL?@hEX$iNDs?SVt`>Ty+l{}
z$AjjZ$*nXd+hP{VBx(&D2f!)m`$o!U!4byjnq7EeNM>zfGV{#VCB_<+N{2_c+pU)v
zCx6|qu@s1j1$)D8nw@ZOcSNsS6f~~G;TUJ*2aS;9`rl~i^><Yzll$$GVI9`PjCEEK
zQDq$_$!FPE@6o-vb~Jo*20tLtu<Im)#}ZGp-g7roP8^Elm$pI_?GkNc!4@S3`hQn@
zg#Y65c$xBN$UHjM2+5h8cELdQz9xC7VwjGsgm-8l3FUKP${DZSkFY9Ihk+m9s0*u<
ze*CFCF^}v55FK>m5eD<qdwW{K?5(eYRXP>`;rE>K!5T`C!Q-p1<}mq5pL-kjtf-&H
zo$ux*#|vz})n94aEj@~-+)_jR4i86|Aq0${(%4-lm+L2!ImjzwOTA+5Xplonp6#`$
zVr;n|M%5_?aJ(<`7#+qTk^&3L1IpQQ;TsbytX!S4>|AO3btDBzYb6`rGd5HaT?i^e
zq&IKNCcC7wBy`P?9pNLKu`2tzW#LOnU|O}z!`-34TJfVgX_84?PkL5%rgT$ac`GSE
zXc~v)2MKJBy+b0}cqpt3U@aZluN!Cjq<(!BfL@Hzldabo;?Wqz<5)QIk)3lrABKNQ
zn@u8bhagcM`>vNd37)xCd`Q2Vy@}Bjhl+>E?Td8gkAOj;i;@<;78KOzb67&^-5v&;
zIn_aK>$ruVq&T&M3V+N3SKeLAUTr@JIqZkZhsZhWObZ-!OFN~*8LIHZ=j#z=FFva<
zLq;0r#0dZsjN2Hj>0(s9G@Z&L53(atPF~4F7xo}6NnKncqTH~aTtYy_6EjO+R8)rw
z(og&~m^Em4k{EWs9YPx$ZvN{930#zR=cSv!#Z1^pwCVwMx2}1*Zg@|kfh*qW`Pql)
zfEk=>zrvLAQq53(<(k>y&O}`P?Z-g+WGY*J$M@qz@A^n+dMq2Q)9WUoUcT*^qgwxT
zel)zA3}VwFv5hwgw&)3d2$iGkX_nNp$`?=lCh1+t31kDX#d#0!2O&tfk&1m!Yh0))
z?$S(g3ywt45zv?(P%qd_1FqH>(*Dv*M+Kr+DZVf0H#CSE6QsmW=dW2tYt!PE1mM^Y
zV)DJE@Hz;sn^`PR_fm=~knQJC`?UK3w;{%pccOig%)ji(X1O!CotIgz3NbLT1DlS%
zJQKT#9tZ-)5z#M^*@_dctQx;Cn(W?%09;FcJ7J1VtlAHIf}9b*r6Kst(m0QIApsG*
zCcG2rE0(76+2J|!HEfkH4CSwgZ~0M~g2&qtD?}&T#T^C+zst%lr*y~i*FYOthc5Q|
zfk+KgQwMl!bJ=dR?V(d^jt1BhOn1_xq&LX-H<%>QpSCTSHq%m*-yOXv6Y$aE*@H5v
zGT(1_>Es-Ek2OiWIehOqcW%k_;#}84xJLc6oo9SPU>p})%aM=^_RHrm=hY&hf952-
z`2y!bX&$ISn@<ChXMO!J?uu(`We5U}r3yfy_rl<f0~-0q#{2-5!k%DwF;AKG=L#Yw
zP`%GnoBw_<u!KYGi$lXM4NPTwuhs;#5l96Z(wlL8Jw~+39D1k38?Wya6tz$lx0B<x
zUiEnS?u0NPlsnQLXt;Hy!<724rFcteOxe3k%29(f<o{@ws7Uf~a+u2LI5go!cLH)#
zvvvk24W~jwPv`_=Lu+*RlDZwpOzQufjQ1;Mk33FY4SQFRi>ig{>f2_P&{uPz`#+9}
zMK<~_Vfe6~oK~H0l_|AL$=+7sYRW0A_Tg2^Ov5<JDMBO36}Ij}w71%l6&Cybr9rUn
zWF#fs*4c8rV-1bkFwN)u=QFO<UciJh0fF6=v3}#1f_E?9qbXMqED}?Ft^&5HcN8t%
zV74B?V4m9ocs~)cpvR4pv7W;w`Q~cSt4<?`k)Hbjbx^~|n$_yu@5?4e#lYaA?;)q&
zF&77>#B>(k%|2e<=rd>J+f@0n@#Fe{<J1-tY53Ygoi=Mjsa2Xr?!>sX@ZLtq!PoFN
zbbtY@TFRD;MTUs2(VKdOEr2eq40wbA)?twHLwc*;VR`@gmkEbzCjd2q{ep>PN*XOw
zShaPA6g)Jea+xm_xVS#BTP$qGo^UNSfM^@Vqp>sq#}5nDL8o#4RZ}HcA5dIDW4mID
zACuV$0&|jB%sqSVt21W5KHQGWQ(?yGV8VfVjj$}dLZi409YGX5BHYm7p0vj@s=fdu
z@!M}eDJ$VoRowVYgw(<d#fac~2(8|EA8CM)m4%lXeN@GjXs*^Q+ALGUbSDKYB2u9f
zoh&2st*ys!Vts8&I`a^6{FqxAcGo9!sWtf7#EV_KPMrhXfe>Bz;SnWF-@5c=)(+HQ
zz0bUckXdggiz_0;D+yal+7g^oW`~!ECGk!g(tAl-F*6Xsy-5@KH@3g0@cD_1a+UAg
zR3BpNq;^t|YZXMcf=SNM7i^7pR|8ES+^8d^sd_$kpKCDq^oUoIBDccW8eFB1ay*?w
zw(2S(Vi0l!B<?6)iYYW)->cFW3bsF_-xg5y_skcG|4^#zZBNjL+IOa!D5G=CS$)GG
za9T-w);778lOu-k!vB(YuJv2^+X#*#&ACwIwe^=yym)Bc4e);XM>2<N)^~Byz-_(J
zr=}*Wz@|$5D^Wi+>QwOA(G#Lua#Ew*pWbQDH#?fq3*|9+Gy+t=ZKI4B`nqhuIk(~%
zUTju}I>0Syv-;3tk3oX@iM2h9?&Oheu@moVrm0q3At9Wq%eU-vjELs3Ol|C0C^v4=
zAhf@VWuTyRwJgac^M7GcM_HjhuQq5`%O=-mB&h`~TjIcXH?|5LmAJxUML)8S5`=Z6
z*s9Rrpbx%uW_S8><h5=p?^F^msuPTa!byFZ+ziT_)Qe1klG+*iDPnwI*E|8ej}#HD
zW1D`l?dj{SsdLdKnUd#QF~5YRv6=&doS^9<M^N;*ezim_@`iq*7akcsn()l4h5j?1
zHM1d=-MGD92t7`<wF5`gnY_xiUlA>pm2I1HF;dLjUH3<EG<~-I0KN=b^G|K((=G=y
z)kXN}xC%@dX(48oLKZpu=J533IEiwh9uDV&r~;!}h02TP5&|?*z6vJ38KZ(WBQJnR
z<SyB*)i0^Gpr&5qcFS8YcIxc~l$g7ZSkYq_c;5-Sus&6VTM6Ta1o8Q7P9ATT9C;-P
zZp!pS0fV%AXG`b<a@QB<nF(iLvVqgPyEeO(455@id8JAUR)kN!)THQ|X~5SCB$9p%
zBX3zQ=63UjN-?nTv?Y$V@1T--GLSP52xoNGT8iG-@)sy)X+;SH*Oo2cZA><AWe|js
z+cmkO<Uk?bifZTkzDt3U#-IP{f$Ibw4N2>n)J8Ol*yzwy??GXQAm40g$|65q6{444
zB-}HgL$!lrP%Wn`K4c@r{eYbp?k%xX{k<5+8++67;JnLYZgw;pcGG-1=$2S1>W<MR
zKs99Xt)Q<S`m{dYT%@H@c0lMe%Bop)B=?l)lc;515kSbDm7)J7Ne&r-Mk(g;Nqzkq
zEq@Hz!(4^Oa-q8|!<Tu)Ff9?YM-Kib*t1`*3FS#LWFXD1!mBHJy76hn;re7)ela&N
zO2k~1`3JG-a+HFCYOQuxkc7eBxE1~r7v9IkgZSJ0;EgGh7y^`A<B`l)mBOSr+Tm(+
zWr9C>wF}_LjChTxN(D~m%W|U~`9EgG-#CZuB3XSlGEl6v^<?#t&q3yfM55xS&M=$8
zYPNSby-}^4#$s_b&O|dL)boN7TFrYfZwjskro0-kuu>{0$n(+mo3jARMx=3O``D{y
zAno;rmdWj}zf3j|$WhO8V*K=@ZV|eof+VB@oRVYNGYR2nWCG2e-<9IZU5X(l^QDII
z`DWIsz4x8pUN!g;vIXq%fEG8^F}Vvt%b^U1+YHiL*i@KL2b-i3j;L2MjUao~xD(}G
zOM)yVI=M<3_;Zp}{5hEmo6`Ym)|=fm_MLRjVm(L;#MBZ?l)=MaM7l}vY`?-W3Jt7b
z{V<Ae&HvU|IY2L^=DsIL(rS<bMJ~LRnf282TPNv(9E|WL3*p{1(c$<&C%^=yBa}c3
z*-?M6)rjAzG;K#zqKqdUgGYO;9ISj<Cipn1R*5On^Z)}dq@$l3a0UJh@KiS8FVM=Q
z)F1s}xb*^^&PMZdy~wHs8(9mO3yrp{1K+?L;FJd1y>wqWXXb<PYeu0P8(BTug9&15
zB3`Np<%$_4)zw^d`Zq>daJ=$Y&ITD*taR&mW`=Je{V~%Bg|lg$wM(Y*Q*Li{RJ3zw
z0@=7j$t&4aCu&c8v2!eIpshtg=h|(l67Q9vW^sn^IO}bqfH!&x|D{)}+|+8-EN=cl
zPm*GsaW12S_$drA9mH*}d9mn)5N$OZA@|+5ygvmbI2cw%7;k-==RRG)4Pazxy}b<v
zncSk_9s!U_#zr=#?$;zH?S-Tw4#GDEUvmZg-%JWHL~K&b7F&jY44;GJLtHI7f8`}c
z^(wx|cTO}(pD1Eed!k##UHz!CVRnkx70p#M6<Y;#=cCG^uxR%z6cxf%CGMc8*<e4>
zDxyhxfojy&-}hA=Kn|jEaM(=Xu^OX!*^<BrZv4163YBZ%4->?7t!Tq|){YCx-6k})
zb{NEGWioD;H7&0GBDADdi=S-<vvCn3FWf7KS*!|6XQK9;d*caLsf!DxgT#tcTKc-<
zDnIGM{<-0YGl9}laz3(wn8jLI?j~OWYq++#oea@BemX#WX~CBb>r&35Ao34XE?()K
zJ?Tod`)nG52p#(RAciPV^S6idM+xdUub7uxs%|U8pNF^PS@GTmzc%89#}msyX3mVu
zL^tIj2Td;;6zNgM7}dKspBq!r<w!F9O%0>zy;8}VbF>TYfm~otG6QakSs4qTL70qH
zS+(BRBbQvBk8n6v<Zyv^2hGpFnkkZr%DgDECI#Nlf};-*b}!hfVcGNHfomh@3(BP;
zY!~WK(w$dU{q#48Vd#Z#%B`J3b~0?}6bRe!j>vsv(Euy-K9@+YE?ivCmxAun+=V1G
zxNv@Kumu#*dQxRvmY-grK?`$`y*k0OVe4con=XQaKvg>(`!jTModr(#oo9DNV-NeZ
zWT@pS3*{L0Gb@pC42UBu)k|34?UCDHOEXiF=ciuA?3w;*ymMl*jn)~--A)C2x8WC-
zn<O>1;Vkqrn(Y<?q3m_Ygi@exW=}Ccqi{lsPA06}A<CoZ!ae8aw$e<)yiSt;3&uj^
zuk|&^wzu%~gonOuf-7d-lLLZ?jMg97`%=t&jzel-n*v-D3P4=h5;cW5BQqSf*=8pT
z`)l!+GJ>wkEL>EPFg$-K8CxnZ-u|T>TwF3%A1eb8#OFXA9A|59`=R7{gApM!3f-#p
zLH>b5c=gA)hHLwWvzUa>C>e;xv6U#ji|MR8CT#d+(4>GhWj{lva2rZO9T>ieC@?D4
zyF@Dvt4o!|T(2E1qXCK32Ai0p<}X}NueEK`^|zu;6UR3~`tKOYsp<IioJi$Y8S=oT
zo!SvD?rS$og6UOSV`cd8qDf22()gDGXJSFo2MBE>sJxXu9%(q;6gJ$D^BP6-bF8Pl
z4XV6t;qXOPsY{C%mL|2(@T({^w=8L#g=|UrNH@X=GU6(&BQxZ=6e$M-G0%1GuhQX5
zd3tm4DdSH8ca5(YXr;d#tSVLkf7BK|s}sd04w0DjeH=zfB^iJ21)eUvK{N@oRUz>0
zHIT)+KrT0-rl}yLjt|3b!Aejtt2BS^rQo82!!l3Co^4N*oZz2n;a2(*tYp0w9Z|Es
zkQ9q5IF}nV()>`K*=oz?)o5NZ?wP(68KFR~>J+6?iUzp{=??GjcGZQ1gGj3yHa#+K
zsk=&A&(g9moUN&1*;p^lCCsIShY4MOBP%+>;>9CpbVWkzHb6v2W@=G1qF*p0DugjH
z<%1|ZLu{TAIgCpZzwSj*NoOY+Tb05-v51b_<6~BSghdV6xWv;3Z^TSWSxrvp6Kjsh
z@*T&}Gnlclm&niUJ3;RP)uHRL2k}qT57?A_h9O_C)llmt$6L#fz~$>#qiq^r7fA_D
zwZ=m+=II07FL>3aXi19&7`+?jtR7HMhX4$*;w`gx32c;Jg27!jdke_YP4hAVj9Z&H
za4i|qCxI@Q2);=DO!a+kSTrFRV$ftonRmKT-j2C8r*<>4N~C5eG0Yx=*f+Ju<F@HX
zw{OZ6t(%cP1MaHEb*8I5yvG5_d(%#f6^S=iIQY_~=lL9OYrg6oE9i_qKe;CcqCksK
zH+wVql(DBYmcFs~4P}K}RG&^QU<zNW<uq?MJ{skFj$uBMRDAE+X5QxFnHuy!nr18O
zFk3v&7u~~!i8LyVzPWDDEonk6Q0}HR;S9a|nPg>XM`}>qj)MT=f?D*=uq6u51X}hz
zD`>;lzX~VtkZGz`p*Bxc$&h(JYq!ra!mj5J+HHO?sLfI}v(PNzt%_i`C(+94y|z=Y
zMnl%Ifv7MOnJ~=q?Bx5Kg62NjuRnUng3)?_nH{lfmpVT$?(C8ml@$+9-i74Eic25p
zGzK<weah`K?Nsa3W?qEt(!4T~2XQ-<4c8vW4-#Tu6`mGB<sGq>K~hOii3~vlT=`C8
ze9%Qe=0vU|l#68Xp{TR4%<r`nr7AX)uN4^jkkg}dwKgh+5Y~^`(@h&61jx4tD}Un<
z!TN6w5riE7;pRX{_+JO*w^os{-C;!S0IInmB(8!Dx`>0K3D(^Z*)LnGlr88GF>Q#)
z<{%cFb?e6H1|(Y}<Xqi6x)0$`Y&0iN3agw=N%x6O=}fkEIu)iCY&I8fozq*6kI%Bc
zAsA9CMb!f-?&li!hi*^#v`tTn&IxGUHxfdmj71lhNUi^z3@OzhwEMDjlkeL<h>eV%
zD-t}nrP{@A9>42J=uWX{8a0a?pue$hwA!RokmGX#n_@XsR`K<Bait-tthmD0mSh&-
zJeJ{)L5Va}lHV8|Huq<<Akl64raC#R(!FtLldYaDD5kw1wpsbW=Ydts+8Z79FPi2q
z7LJ^m@L!oR5maeZQ#;Sh-aeM`;nIDMuEyM709fQ3>akUIl@m`5bTZA>e`IR*yatm*
zYGI_6-Z+wH!Z&;h$dkr^k1#3?FiFe}>O+)vpYC??xkY{J=zV=Vp)lx><Lc@elxj5q
zb@CKxMb;fqUQ~~gL1&C|OXb)JF_HZXYYsEuHt0A2TWZu$Pr{jUi%1`iha>|`tN{!%
z8oHgYf69i=Ns>rgju~nAQ7_~93UqfOMk(^f_cOs`OQk<W1|-rBEjZ6|ytE&geXbk;
zL2KGC6Ec-6`i79j49y7+CWIEbjAo0o(is;RWg0Ey8rvUX_eU7~BftwSS}sd*cr=W}
ze>7xG4W`ZdF!@&%6PPSizpFSe8i42ywio&+lJ!<t2;7bw$)4CQFXL5ENI90_Hj?uy
zmuR#E-be5i)*E^5=v>i$F6>6R4=5^;jf3{QUXnT;74BuDeCn8woQ+fHWrJ!gA`pY!
z!R>Q!Q*gb;Q@X=0m$rEz5i#vPckP(vba+!>$|uKl?LJpK9WU#Zb-NCfVDQRn_^en3
zN)&%K-MG)SPRG-GWhtKDB*0`BD?jrT)}Lgy>UO;p?ppUrd3fKCNiD5l%<?v$=k}wh
zaU47oXRo5Dw#Iml4S&E#W<_i<c-WK~{0%g0e*+B*=RbUd{x_jf2{Hl-?bQ4$H1KZ^
zCs!nHEB9Zp`D3z8PkYzj+_dGCKbJyDz4lHgGuj+=Qzh;l9bwPUudBESq`7%;l+ryi
zczJ7=y2=+#^d45IbsHxy^+wB^R<kWx>bfY*Z)O{^0=$>s+Mjq!;XAkD&stXyWVpAt
zx;Xm(ICQ0(G!5BUOwc_UKP$~Q%1QG$Oj+leom6o5^i!qiIMp1LSS>X;`y%x>#iB!v
z9v5NLlRRkSo$BjdJ>RgV^p|Zo3#8Q@rDyWMy%j4xB1-E%uinbM^q$)$tfbyOxvk@r
z=<%r2YgoH9<=(w_aALB*O>HG!zq_+ax78A=sHmmS+bgB|%=@Ge?t6{S)oFb#s{BZo
zG8=T^P(+d1ck~LT{_(XGmM)12X5B!u$Ec)~u{pS=0gx9kD1iMf0%iXb9rJ)uQXvxh
z8KK;eA6l-pZK4pPUdqaEE1zMdd9?Jf#0;t2VQEX@A$UkD{7r+tZH2mQ^)Tr#0qg2D
zzhx?lFU3m_F!5oU`gHUF9(G}OcL?4`sBA5_pn(EGfNvlO_oOI#5?Y5SQ(#LhdO!h_
z=v|%>+#e9yfqg^~LB}v|vX*$m?z^qKGkB<%#2Fk&z1@Vmg}d>^6ZSAW;(FKH_lW^E
zIM0OzmJ|LceV2HOauBlOyh3(@TqJP3vt*!v_)q{6KtaGKmxy{4!(%ApaVB<88IqsK
zCz=oX$jP-7a5Ugfz3rG^FdYTsZS#8qC@R9oL4Dt<5H=m9$j1?0mzN`^{fW%^O+ol4
zGS~lsO!X%+mj4wpf6?^dJ{SCnjCU6ECo<64#nR6_#{Ys0w}<y#nd9af<ScK~U&t&q
z96aL_w3GaW%*b#zT%^v}7Q@v|iTvLn!~XvSGO_<3ng5T>|CBQSw~(QUE&1^`$Z-4(
zGOUdM2T}(1-=vJN1mJeFI-6jdZVmtYF7WCmk~gKDpn5H}YPB;nI3}ZWC71W1Ftd=~
zRol)rxpDu=DE(?>bxd{s^m0JwrD=UNZlgHeYX0|bAc<|-wOiHcz;l+-sn`Z0#J&E*
z#r;DC&z<1pJ@6T@I2j4{(1{-teY3&p$mXJC=rhW&hTy!$!*n&m=^EToI(H9_|5MLr
zw)Y^uPH02<O$2r=u;IJ7>cYMo*3-rH9y}PjEq};t7W-r_+^?X?&GkLT`)r+UAx7UL
znzf}#$o6i91Cu6T755MMUbh;Z`Z0VhA>f<4Yn|15W-rbDTYbIsbM1E(W6hP^wZx`P
zHUf5WfNp&O<)XiJ*~bBD)iMEjnS*jyP_?|+31M7rKl4ve*JU(4W>$6eHbHd&u72+}
zVOVg#<V!%mK%Smr;Y{ea!`$2u9c@?pHgX6HPAck;)8_~m{3<=HkRiou%$fnNPsPjt
z%*`JFiMtJtYZtlv(0Y2h6d+4ga1lnngUQDzYu*uHFS?65^u+%frnJ83N6`U^)TaS;
zxh1Ozk~9M0-RHSw0<!EGTMBeTU<RuMtrqAf`WEaA=N4wkJM6ie3f#im+Y)iJB?kQf
z^+wBz$x@sijUxfcN9e9bbz95PmFyUTtr3Ln5;`sQM=_X21Q2D#f&3+CK6Nt(;w@p$
zX9ze2|E?U<i8uso<)6-5G<&8qV!5)u$!Ynr0698JjvtCPPU5Yz-^QY%DLJ@`*3Cp(
zXVV<=nP{+Y4<lTsrzz#Qx+ml5ZElPnt+OH@(<n%~4@QF$DC%=~QbVte494OWJ}(M*
zQqlHD&Bo%H5-8#ov!q4cnK}1IQ4@+2l(G~B+$G8OskF5&CO)p;81Vj(yNOj->$snL
zJ`g?+FY-HG4lG1<b`5K<^-_OaAw1nSgXAX@KYnX>EOGoBW&nS~%x8kKf4=^^<_u!z
zf0{D{r2f?ZG-sNq7c8n{Q*21Z^GI=@FP2z7Ls6djoALOt_)Pm?pZj#!n6_CwxD?@Y
zde#eho=b5{`JT7^!<@MpW#6rDOsp*0*beKww{C4DX_w<zDJmU?g#5$0f2FkoeaAbp
z9Mg7%2ngBeUfZm{W?c-J{!eHgKcRuYJ>zqfa7i~(za769+F<{OYNkzWTh_qqA4!y=
zTT=5Rd@j$S;=A2{-$Rf1OU0Q}NA;0T?wl{j?S(V)zQG*cI+oPx{eV5B_Cq)tq4%}0
z+Dey$;PgEyZEZEH{oKs|>u#^dB(<j<UgkS+W3=w68M`{=VS0)=%u=9Ztf@|@nZ~-?
zlFusEuFFJ1p#p48`QvO*xt3pgW?A3~nNKq0FJ>Z)!J+AyK+?zL4UUk@?Ciy%F(4&K
zwQwz^TL9t)%aKZE1Hlf^aJ;w29^t!eOzPKR3Qwj>x-E{40nG4Gg?mT?zpi`yXu{zJ
zzJ)u63UT=h;VMLW(^DAIT_y+`$RQ(%Tn0KHFVU!*`egQTeL(W-hp*vofm<NLoD2GW
zrB{KiC8fPYDe+H-7$^}a3Kf832CE9l66hz3NV&$|AzL8++IR)abo-Ul45>sWC`UK8
z3iPUgN<>-~6PoF$$FVSH>Fc}V9E%AeiYYYjen5*pF3Q()p;--V3$)C_9M#zktSu~^
z3J_N`WO8unlzHAy4|&4Q8J3+ONE>@m_nzUP=^Q!f*Q+QtiY&Y7A8!2SM{fm*5Aix~
z{6{k{5@LVkxbA)CR$nCILs&0oG0sA#JEom{PFS?ppC>Lgv$3ugOhtX}QWgG~nrwTU
z2wt$DxM!y>zf90}PEU-zOqgA;7<NocAA6fHU$De`W~cVO(C+^+ExqKEDtyprYw5z0
z1<&}xSg+ToGpzrK4+oV!?CzJKSv8J(uG03VK<d}+(Cl|5y*ov4Uy!4TYVg0Ihx6a*
zVdr4}@6)5)Ym?82*m;BYN2u^Vc8DG17j?K1POQUnlf~y^0E%6kc$mO<__vq4NFkH<
zV~|_S?o{_(ii7jv6Pu#rdp*-D5>s0jGX`&C(*s~v#HU@;)Rs|+lU-S9&6^1?ciL!M
zo{6{8xpJVn6p4`4;k<C9xE6NDE3p<cgaq+i^WysAshT;gaJjNQmoYRn35eZHzuJ@d
z+*Ltfq#Fnu@3Z1#_Tyn-fCRV>38R*N4{HcJ`$`==Nnt-cwD6{a!0p#2F0RV4;P%$%
z>U{qIGTJ_^-vF%SZkqL&Jg|MY!+eqZ{fIdEY1Z6FeFo>(Equz~C_IrxH)6!MX0K=x
z)196E=-}66|8N<?0sbX$cABBu%9@&lnyan4T?yEKICklu)U69IE_`H?5$)P#l%y74
zlXVy*TIDsO;*X<(t{W2g^%ubU7a|n&e5S7}=#lS{FV}?IbS}%jD%HI+-PBFIazlGz
zjm{*M0~tpQdFFvv2h#!9`XVa`2@in7JkjDdtO`gIG?0mMgFtSD#(Z*5Ap^r5k{^L)
zvGBFE^yd<RwFlv9jr3<Q!o*<>1zckIDHOAg2xKxt@)Bzm^rdNp()5hSM&SOQcHE;J
zfH=g!W+Tnfz>G{DL3oC92=9sW3-mdq5$M(uA4!~1bJ!g690vO;i~i_lJMQ}!9`fRk
zl}Ol~K-#S=?NbWzRET^nRk)WtHo{Q&Spt9J+NCgEI$kTF?d4OCicOA+(T#}Fjf&yL
z$9M?v9S3>+rg|!2xmI8p73(A>X#6bX1dT)l&a!;R0bak!p3DGGX5dd|q)%oB*Mqb+
zKHCI8eNkVxYhrB1^V@DaH)&cL?6iCG%rZL98mrC-zY%DK&VT(`oy`3Fty(5%_}_o;
z?Eh+%$UE2?IU5=~5K`J1nJ62p(=pMrGSV}%Q^7C@I6IlyI#5zED4RQ38Gjy?oDD3D
z4V^yEgdB|Zoj%*7^*@IYx|%zg5t_N%89O)_n@}-G8N0jMIv6=pe!j;)I-1+s2<tl;
z6H*FuF*7o=GO~ZBzhq(IWM%&G*+a(G=zra)?4WOFXKX~sAgXWWXbi(3uPmZYFY0V%
zWuR|k^Vg)6&CDGMKg&NSPfMt3?BMu$J3<zECRQdk&d-=8EOgBD?Em>xp94PUD{by#
zO!(JKs0c0X^qtHcjr9p#{$n6JJu5vU6$~HWU!R+;fd$OJE_x_`J|iK6oPmXslQj&3
zEFml4FWKtg=tRiE#`&LlKM9#x82=eC<-f6zc&4H0xW<m|vsB%a&&!Q|j&bhBWyx*-
zi(OVrQ+AHaC)QZhge2lexXs+#-3y*y9wn7*1^fI;NG6hi7W~wHKPM!(QHq|wc`tKO
zkg+0TA#Z$|c_Nc}%6+)RXk-JX>Ec#l3RsvSeQ4H1idq`gaKIo<O(Z4lIB1IGM1nsO
zNwA>hC0w*Q*wAluHxy6uOjceIhTEM&!lmsq)IFi90UWP}UZcaKOnp&5--BGtNB3b^
zR`^(iD^c(z7EI=uO`{1weo8PLNMBB2l%zTH*EDyNOv05353otvdjEt5*o_>P2?++z
zlpWSbPJu<puU{gIm^yf|zmVnSrQU$PJ-S0i_6!MSzIhK#WBIDWOAck%WV-W}ML4V`
zx1WX(cyM1dy1Ko35)FW$#W%SzMCLsBg=d6wqB(17B5KJq748&~RknfO3E|$CwAhG|
z#2}$HE3YdsS+#nvYjYeR%aSZ(?GB50iyWL@JUnj2XiPmG*=0ODDsWcbnDd6<AnM0t
z@84W^VedOSR4zOI+C=T|zh-GC)qxM<Q&Qt)EMbfX@g}x(a~1A-*;h*n^FjROZvE-Z
z#on1MU4>7a828(_DqH`my#UricI?=T9e3ZZ53ui~zU0nkOwE?<Q<a^$)X!zAV7a(E
zToZ|eJB-TO<PXvX<0|Rgf~XaFjMy(%?%<TQbc)=OjmyF}!oO6ZavzaG)#|Tt4`ft|
z8J2#dOCjP@W;t1QhiSYBPSqWjUf~Z*^+YxKDF1#K<u`ADL-^S1^dn%JjLd${P(};)
z{HnjMZM1wuLhB0n3c)W3=KdBg9FtRrUc^A_Pzn2{7gwdSn4I9q_B~P9)yG#mkiu6(
zn*TcR?Tyl(V1RXW`e|_Gn}>_di3j@!1u&b>`#Ae-vh14U@*;U5<wCH2zt8;1%v6_1
zX38e&*t23_vu)@Qq2YqZq%#@9(2M<@v3zLhv~D4Uf7F*j^l7EOKP48V`^0mRu9ox8
zoYP2`-T3%Q^nvY0@S(O|YRz?GttBLPNn>Gn3dnXR%7qu&N8Hx&EoD35f(E?~zIcRf
z(w0>32##GFVoX#pFVZ*(DcdF{Ug4McGxmh`Z;6vCnbKjsh$7P!$^7xIbKGN<qz0(D
z{<Z=&jN}nHi9ED|^u;(qj{0hkWTTId?2GF!GG}yrXUdyHjgOYbJM#&l<`v8>nsmD`
ziV|mf%#km&{m&udIE*;&#b6zi5r^}=ITVkuJg_c$IHb?9>RW5*Iz+)Yc1gmBkwg@t
z;>$(&tk-ybU<Lu8^IOsdB)ubnWu--P5Stb<4sB*mbag|6DMB)#x3aYXEmv^7cl4(*
zomh#b6!TrV>T^Z*URe3oj9|LIrKqv<(O{V14J3Yb7LO>@{!U{RcgFTS&FA7#Ol{fm
z`*N$4>d_G_jC2zg-WlzH22bMMJR+}7LvYj}Wsh60ks;$^G{?3pqnoj2C#Gd6Ispae
zo7YbgY%!?0${cn#H*@y`GGJr^Q&M}Q4V}ro2^G$-RE^F(2+BN9Ly-a|Q^8<PV=o!K
zfCU?_C%~PnRPPFX>Qsgm=O|^$VN_{!qqpAz22Nl!tuL@5=&MFXu>G;~<b?7=cu#%N
zzKpWd07_pYT)F}&RYte;NM7m2YMqExWK)5lrc&tmxmyO(3+*D)fJ^M;dJ=Wi5oRvH
z>0U+2cKAyKvqGTkkuf@NRvuAeX-H50Ta1IBP);CnJEWhy|99l@d%1lxRz(XD)}isA
zU`8HX#1SSP+t{WY&Sqj)G$YCRL82zKEaFWxyy!X%IF(Uwl@J>q%@p?RGpiN9(dyLH
zbIlKm-Z3TM*mVZg!yVgsNTPoJ98pfPin=SGG9~tg;2j0#m!&KiCw7JFz+Et2-!II{
zRcF8N9`0RcDr2U=4m+A459+`2Z1jhD%W1Sp5y~|#+dcJq2@{mkgYD1S-SaREHJj~Z
zOiI8;ok?JODIib`9_n#r?MZLp)K6Xf>0znI_g#_}qzo87tI1=i#PjKic~tTlf_x1?
zcw!^C!pXWpcum@TXKJ4;?${!D3fjD)VsPi2bRPtE9CTlhC&qk(VlMLxeMASXMu_pj
z$Nl2ZLe&N9hXnqGjPQ!?%WeJ_JMEW7t>zER`)n|Oj_-N{VvmQJc^&OI?CM@U3IQ?g
zv9C>_qmk2xh)kpWze`o)NcqOg^E$%(CMo)#==92M%Xxrz#lJRh<X-vRRjRhkntHFE
zZsMDVZAqdL0La(!PNZ$=&-9F|)jf{^A0u)&7-RmbAfZq>PifUH)>gQ$uLlbZVzZ(j
zeo<UcFxvg@@w}^|FMd&~uGXm9I0#SWLtT5soIE>*PJx&xG^#(XD|k5h03UG<eOrS<
zME**OFwkL+zjf8edCgZBV0ASn>t!hm2*qjAGJF<|{9hIt8x3&E5$Jt*dGTTw0wGaA
zB8NaV+e|04hE1r{tcpx5>lH0tSTB(+aZvQwaJ?r^FvnzgAsojd?CJd#_5ru5bfoj3
z=6W8!u9<2#2I~jG)keX-o5{{Tj=bivkyQE~fk&S{KWg8-30s>mplDtC()zb~VumlG
zWK4|V4i5l2&bSy09pq3o?RSsk`tz~K(N|3^rM5sPXgmqX{lNyzL=O33tLmvAL%Q=r
zHfAKM4Wmh`MmVd>XN?-;>6WXH&erQf%b2yfQENKsjj+u{GEG%ca5Sqeh3pPOINhD>
zC#hyCcr@L)vcvZ4Ke_Zhofnk`(ztMZDki}W%|5G}O5r!irjD4e@cVj?i+4=^=oE8s
z3{1Y6wFzpr<9d1P%Edw*L`ha4Nn+C-hc#OP(Zt!T?C(Ytt>~&qHzc_V3!trCvJ&z;
zZ#>i&+HY;qj_O#bk2@INon3-{GmV6}dP-7uO8IgRZeva4eP|b)H!RS<RX17%>IBQK
zoz88l&5FL)wa^^1t$ZshcYfpYy=}RB%B+>`G>*G;Iij8|t(N%cvvT`7lJQ4tDWAwC
z&|zKb+q%vjeUc@JlVO0Rntn!hkILg9k8aiJi3XpHYeU6d&IhQC$DPmLD5n3q^!HC)
zOI^{}1cpJv#>m)>P?M369iR=vpk(f0{CNh$phl?4M94zO^jW89YwJYF{+F(%_*Zum
zTf%>6xqn><6Ke9X2>^sSg+v4xg#=hWk3t-5EW#q3ET8GwIR#k&oXmWL|8<woyGR?`
zn0~6dOq~Cr-~BffJiO_41wjSW;O$2GYea&Q&;T`m8cI3+p%IwKQa^0Uo=EJ&9wrW^
zT67elw3(ZWy>wrbY7|_F=kWpu6#86<y5#CSczu|ku#)n%ze7hs61G8pGWs$7&b4SI
z*u`G&hmzeI8T+&20SnjSr&NB662bxq5o-ysG!uffA#A1=>1b)p+RQ(%m=sf9T746}
ztGIAh-dtVEhvA-{pKdP~u9bo9M$Y#(V2>UJH(?B+Q16-hj2C*ouk`Ut5ryR6zamE`
ZeFrDEPc<I~z{tqT2}4FEA}0#-KL9VT=5qi5

diff --git a/.setup/latex/pdf/betaNB-zzz-tests-external.pdf b/.setup/latex/pdf/betaNB-zzz-tests-external.pdf
deleted file mode 100644
index 0e45f8d5c9e16f9e994a52b1c0c8411333801ec5..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 88698
zcma&NQ;;w~lW5ttZQHhO+qUig+O}=mwr$(Cz5m4Sy|EE94^vNtx6D%+85O5U6-2~n
z8R=M|NavSF)}c5E7zpf*te|*!py*{x?aW;)2v}G-2>#yzMK5M)<6`PWKrd!v=wd2j
zYHV*}3dP3<<?P~QYG@1PvAL5fEj=WFFn0HW0<7l--*s#AdLgKwun<&!tmY-L)r?|Q
zC5g!2n*^?eZ$PbT4S7wSw2`s*n-m=gNzpE`jQ(Spij!N0H!mHtD!>L-6T>na$gEZ<
zONcEP2ira$i#qlF`5YdlV(IqUO*84qXKjx87J$0ac=&T2$pa>kyr8A)Eker5iNZCG
z(BSIvF<fK#k&Q<_rvBl;Xc0!9<kOnJ!=tV85^2t!omrSE=M-zRYqyV+pHSgA0|pe6
zswj@I9M-%=bhOYtnoQByTECf!{NC;%Ze!wtsJ1ow_;V<hYOeX1PC%&s4<Q`bsywI_
z&d?)o`HHM0xEr{ro8`QK#vps!4rOK&lPzG`J?pA=DF7N_BEyY!DV&J{#Cp8%G8_-b
z*|5b_x{xYT4!~%ByzpY!r=IcpMq7!@j}%$-(_;9YEh0M6LLA;x6}5=#-hQLA&X%9>
z7tZ}A+HA8{&`V_+!j-aeEa&7$l1lr?wrygoX2_ch@2<7`4eE_Qtb51(M-T@6WcPgb
zC*^ikutyz#S^tkx)thu#zY^7p_xg?7h+pxvMfCTeLyuQgHo*f`pqTQdHwJ>8hn>no
zA0S_Sp%BW{&gB0~>VIbc1q2hre<y>Pk>P($Mo)^Y{15|7=-mfu>V7?L=7?N&DLR}4
zHd1DMdZY3RFg|uB3mnYA9l4G0<$5Ps;mKj^Yu52gQMsBDHkfKuR$9=UZuSlYXaT?h
zW}gsR>p!n;Du42%WP6|>Xi$h*$uJNLiAGTmFVsEHqL}3lP%~0kt92R!%G;#s;a2yX
z5ep+{ib18u{WOJq7pMU)T2+d7a|&>D^`YnpaMK9Y7TBT5J+Ly&LYnj}m9#wgtGJPX
z)!emKJ3sb3IqXZyjiMp-yQ;Al&nk@@y>A=7+jSsO#F8Wt?dCBN+dGkp0E)kua@qR)
zqVP+Q!p<x1%yl_@k*(+z+H{ISvVigkvQ20Gzpz&ph*+U1NPd;u^Tt;u7r)Yb3!z#z
zPYRqoYVZumqq*C!!k(!0o-sWiz@?)d$p0Y=EdM<VOl<%A``Mx*YYoJR&~v5^vmC^G
zoj&1C$BWXeP^=J97B8%=j(A;=`uUaBNn}mgspy?CA+u||%Ok-dRT9v4=;f%u=J?pp
zaST1)!42H=FdwUZd}oIE7^J8+5YW%*LL!hLYKPL@)0Een2vx#LP%S23Uu!s<8<p&`
zbIVshFs^Z*K?M`c=^-=*8J%?A9l{W_-q+D3d%y@?6+Um>bEl?t?iZb`6wOt#YxdFM
zqq`!$ken%;E)xbW;B2&R2}xFBSH62{`l6a<(DuSOxa7jq`^%Na`T546OfcZ)w2a1K
zHRt|Jb(MW`-q+ppqu)Fgl;BVkM$yPLg{zXtjj~LU9FvJ_jIqwHl!q_(Kg9NbsC`WA
z%>Qe`Ta>%({zLfo3u<uFdJw7-yp$FbiUgF4^*-$kLbIeoeuE<U`I~yIPQOE%$2~zL
zN$eq_IAJ#6fu?~!zp7D(AsCYqwwgi?LHx5s|E@$3%nJDRqpPmPq(9$QX)n&*Z_T<o
zJ&<uqNP+F#J%2|Gtm!_0u(x<@Qd0btln->IGXa7JJujt!sR;w%E`8w?HZHg`%%&6@
z*d}rI@D&MD96Sg3qUBnMnme0=P;Al`KQ3;tgwBJ4SX5$<ER&xudDSZgQ}1sm+EKxV
zmyAJ>0##yw4wg>?l~k2YZ;`K4<EKN(zUpe2?b3E*?mJ8u<EQIX%p-6GN`lLILGv(D
zkYu)O;ZoYL?jL9r!BF{s4=^+He}|Wqf$@JIV3n!ZB?gq8GwSL_N0P%&Tyr#up>U#x
zA`u&@km^-fL0cu9v|qk8N3rIU0!&D@*OwXJ>?>!SNGy?st!TNgE3Pd1W-%EgLRRq?
zIMry3$#}LziAu#DQR?sdwxRgCD|gHgju1Nay?p%~X$wIr-GV9C=x$d&>POie-zf}&
zvT#D<a6_Dm$@oa@W=@j@deCSkt76Orta;Ansa<~P=_T;*w}gl|BvpX0D`_qi(#>*_
zu_$%Vg7(2GRP8!qS_bz4jEZGj0Bv&P)|P?9oHlUwFX6$x$?A9IulHW~JoaAL**0JH
zES4vHI)9}58ZW^7<Y9^g0J@!7&o$fa;$7^IIdp>TJa^a$o%qBFN>2LV<M)C$IxV2J
z4#f2hU`c#FMN!TZAU821UjSuYC36W)sPfFp9l_MqcRpM1Emrca;mOY7)-AHOtKK#~
zb(puE0arp!_a6CC1RIO6c{`)v9r81ebNDf3i!QQ(_RPpBrp-7GiA+;0J4EqIdE9g0
zcd6cWx<p+FF-gj0)-!xO#^|4re_t71W0OLMaWz++IQKm=XJ1PQKGqY%0zRDyD+>T*
z3s%*Sq-S7Z4mh``Pfs5*sh|{*hedaWYwuNCAd6pSzuI_+)TopdfRC1<`#;eVE2=c#
z+<pKj{3Kuh9U_+hUI7^i7}*$D{!hQcM8Ltu{(o2hLGJ$?5OA_Hvj1-znV4o!73@tU
zIvCNYF6F>3kTxMlcUn9Gfq0NWVaG5c+K~bUoye}G)Wcf^si>~56!AIEw`}LTzq*&*
zNiE6V412S=>0dMEMXO5(Da|38fk%dNZ1VUhaTJ0gGFyma(EIy)$A|lSBL=2Rp>3Rj
zzXoH5%b<f=1PqmDeHcs*jN?~}B+w3Cq!j~&e~n$l0OQ~QP?10(BAy-q-8?)*e}sek
zg#eoI;KNw?qo4|*f&;Y}(M$~H_8h~jvo{aff8U_>8Vx}Ih=_!6{DXmuv-=&wQ6Zod
zfIBt<a`5DvfjEI&4Ac<nv)=qm3=rF#ot@E6PG6s&kAXNloCfw=k*aY3<ioRY1+cH7
zLcRah0QPBvl?P?_`?rjS3_#4c1hxNO%m-|=dj{?s^cM{v8i9s(@`bhw*9<uHA6)?8
zlB)g-Wybg<*L;x&0^hGY0QjfV-?#LG`ooO~@+r<RJ_&Vt3=`-joZkw79ZrmqPgpm3
za(Xff2q0MFk1QBlTR-Lz4-Rn%(da|+t;hvIKwkn1!0Yy|?q93s5Z;tUokl(U;2yW#
zx5N{x31>wM?Cb<2yraYDw?+;f5LAPAc02R4cETlKn5(e&M}Q5nym{)5y?Q&l?WGVN
z#jPRvN<Ui!d4!)uyADgxKQu&4LIDKO1<<dj=C<7jKmXze_ICjC%f|n@e|81q47SeG
z3iukd{tw@u!ADmR&)^^SHtzM=m;IPOF$@8M0c?X4utuOQp+dBOBY)-qoB!e1SD0`&
zz$j1LBQTJMpa1W#`DZzUHOBJ77yc){`gBbRMakFVzn{9)KQ}4qp>BZQY#<*1IXyrE
z0ElB`KnTctfbU=KI5LPwbzGjmVJbme1AqknDc|fRf2r4ZX<!<ES_ta>KIe)dycB4#
z`fp+vWIRB;sxkWgzozX!h>t(zk2{(_^@2Zp(Z}1^SpRp;Uy^VCZvyi0qBs3$@srLj
zUb_ISYe)3_KWSEgzmCpD2Jx%E7s`$RJa<7TtE=}n48qz+1p4|Gvf-J@TltP}%eAi_
zi&z8-4dhd(kDq1$jsPB>za#H$I_j{ov!NHoB>(pQxT&W-@kzlNgVnyaXmtSufWRTa
zT@0Q$r9)H%fOjDLwFRu}m#|2{Z5@U5En|rN22TEeurRR?Ut*vk0NYG`vi?Mf0BzfQ
z66xsuH9zo&;0{;6F(P<J0)P2q994aY_lgzU`~CxCJZyh~Kmc~*efbRkwjT8F8B><{
z5ypY{Lw}+9%tC*l`Bp*x(0!(_Kj|qT_T9eFeR#%?;NSI;o1Maj@b?n<S$;Wo|MvOu
zXc^X_Z9*9Nft!$^Tk0TfyDAe4pO1C$J^3cu?cygVFSz0D-TMXvrHyK)VSWMo;-xPC
zqTAZ3#+-hQ0#0|`+dANA3rQ8LUS3ynKCo{dUeuyH7!z|BzI7`$>z3s!I9&B@x;x!H
zOYo2XEl00cOs5|m(nS|#NPC=Y)a<K%wLEVryia$oik0L;o$6kIm{;#wC*>DXj>4yE
zE}6KL+hs4G+klAcwJV>YCxL7f!Lv--uQPtX8ht?d#P~gq>dJrl{FP5#ZHmqc*olb6
zxX3ZE%pOzsq*TjrU1{rJ)ZySMTL{~-Em17QLOUJQmEL5d)8pdk;*o5z!6#CV=;Ff1
zwJmBHCg1M4El=DM5RX@&Qf0P-XPz0hTe;foCcO_Q%bN}glX&B7zp{D~FZOo3`k;Bu
z5=Cq_pf;rNP;-dqZat|E`v-R1-U#<cu{(FC;%`Uue*|{dzj5b6=;D6G#8L??>|y6!
z^lqok;|k|rmVv_p+*mY?DA2y{VL!j9An<TV5GbV%$MP#S;8*?@Y+nRD-HZPG)T)Lb
z2WGsFzCc%#^PB6stnCP&RZGVV964UR7Eb2nj|Wk;Ej)K~b*PTsx%HVzY9mR&`Kk!R
zgodm_sG<c4d`u{IOryvmwwjBkWiA&IyB?7uC!}w!rYx@7>&H;1#Nq~1W_pTM9;hY9
z1YVe$!Ut%Y`hZ1v>MH688<*uw>W~CBp(-yQR&*X){dl{)AQd<;p*_Z34)hG)B{irC
zoimeQ#a#32uAjWFHI-fdJXZT~=#8{j8B1t<F|`^s+T_oYD)$%i8#<NuHVCFH{dPpa
z<Aa+@Nj(lP;LN=!M`*R19hp*^iD$RP#JWE`%9NeRe;?4J5#27&I`X1tQu{)xUf$kg
zs;!*ex{*3A4IukA5<lT<@mb1^q@#W$u(B=WySU04Ry(4_y`MM0`g@PQIWGMfsW$W{
zu?(B*N<UAy@M}@S&Q3ovtaUjWQP-s^CGx;GCM!XuJ{tfz5<gfBbhrSf*ehSOgeP6|
zxxYi*;Cmowb^-0v^OK21&8i{2XrB-zN*Jg4ASf;7!F7sfXwETuSj^6|jnvMeT!=9;
zP3F6KnTkR|$CS%KT*9j{IYOz6L%fBR_H1eHjdhL_o-q>kwJDBF{v)27As}x7wRGWs
zFQWIs-;JB1xEmA|K@x^B#Wc`c&xe%yFj2-0^c~YRFpWnd%G&gn*Q1HXU~(wh88Qmg
z#@S>NN{`y+<zL9~8{790NtfUj6Yue$Qu@-uzSkK)AFd;DW*kWNT?5AvD~&VDX1h-Y
zTB*ow3c4AyT9f}3A`1O*|7;Y?PMOG~S}cV@Q%TIZqHch5%EID%zv|RS!<n(TUImKS
z^C|9uD|`euWq^D*3$rQg-qp)K|Bf7e=nnC%SJBU1whFqV)?Xp;tg9bVm+9hlPWDw9
zQ#+KUr0^PqSNQbubvO#~Qm21aDLY>XBRXOUJ+QG}U<^lnkjeb%nXbXQ%N&UZ=oVuA
zRbh#<sbTB8J2m$ltN)wRSK|a}vO<%O@)tu~+zd~bwzyUKESNe=(@B=jpSCSVB4aHs
ztSNdTZ&if;`j>ZJ&_tbdQ>2r`y`N+pA?-l%sh*zlLU<{u@_B?z^U*{U6;DQO;*69L
z))*%znqPXa*FwrsBFt7R-uMsV{<1i+r>PD}%oJQ$I<d%cXplNnEL=_-viw=jKy#+)
z;rUQv0Bw@}u2vL^H+O5oH3Pfx*@HZ|O24GAAzT5)Hc<<DI{b_d^D(Wk846)>6yFeY
z(j;GPf>*gWochXQm^mYhiS=7RWHs@-x|Zn3Za1OE(kfi(nN*dx3?#+5Z(dX>$!f}0
z_bz+kOAqsJQ*Z3)>M3pkq-NE!|JzXUHXr*REiJerz1UZw{xvvG4dN>?3nHJdzJPe5
zTJ_O%t&phi5L7DyPz}ZmvWPwU>q$(b@ipX0XE8v9F3NHlHeTB6_I<-e$TR}6l`N0i
zFI5(%8?3qTlLWi}KY>Qa?pDO0cHP+NL~|?dnFrdwQj`O3dG4uMfDvoH@N9hxhaN_|
zfTi3y(?qrhRN$9m+{6YQxITJAjkcyZwzh#6Hn_8;)qJD)4x~vj-@+taBg*yD;Eozf
zhoyDWq6UZ@YHP93u^cJ-w?wbHoC=p8?6Bo`WqCO+w_mN$5}=5P)9>Z8XViUkDjP8Q
z&ErC<o%oqA&Xlda7b7jDxMR`d94yT-{FHT367uEYVRvbdio3L9I?lS$E+SMjR_b!F
zS!<Ma$!s(EL8Cb`cjw3^icSQy<dN9q4cTl4F^lr#34729Fh1^h<k1-p(1`hhN@GA8
z6LLPxHhjR=YY<-F5{H`MJbG1+cT<=HE243fZ-G36D8Cab)~rVJqQxOUHMn9}syJGy
z<p8}if8Cd|I9P@;b7=MwKYe>3&O*{&HM~$0xOSLQE=ph(D?qjz&V*eXuC;IuKXgR|
zP+viL1!AHLrXXe6_ArjzxCFG4jLT=TxX;*D=}*ubcD4dPch#8IgtJt@p<i(K)4i0u
z-6;@i$w+7%^n8O$qmOp9m7A}QDlL+#8PHU>dB`61i}Ya;uJ&ykUQOsfy6YOi@CRN_
z$#MUbBg28uYvwc?4ph{=u#XrL)KC(q!tR<fOIrZA-hY|T#}Rk6`i&-%+WvA@{34`i
zKC2^k5IBvMV$?@F-pGR(E@!mXg=%4S#DyI0#i(0sIiPKv$`njp%!ml#5{3FXZv<>`
z-ke%vQr(h;jit&4Vyb8GwsO?!MGW012xgPWK!$G`%->QUxxtpFqqYJFEN8r%nDZO5
zYQcV=34M~%BWbR`9}Gh20XA7JBGl19-Ax9`2RwNqfRHC3N4@htRi6f!f0sv~J<L!!
z24zw-u~ado2mA2&(%FMHMGjRF(tTn1zG`AhE1am<uzK5fsDjk|fHarNu3nHS*{=Ix
zZXN=!SIF)(H;ra@Yn^bhBuKQ={MIOM<PE7Jqd}Z|4SMdoo$AIe9ZkrbtD1Rr4{P@9
zAITaOonj=3Iu}$$SW$&O&lm;m&|4m~mIx(&s6}GatAV;Du|S+W3N4&133-QfiNn*v
z7+&B**qBV<uuG>jMs*T*?HRdWAX&{xX8ArkUS%^mU}tlCJDa46U6gWU8Dit<DQ__6
z+#t{lV;Q+1%b2c~aQx1<!qHhdwiLnYQm>X||Af9A#Z{0qI1?!PjH0y=kJ3hI^d2eS
zQO}7I?U~BxeZs@s7Tz)>c_Q-0GYn@BrY(fvbf9#S`!4TQmgZ&4lU-HiaF+{hD!M*U
z4x?V5*~)d@D~cYX+l2DIWkWiz;v(9&khlNAiCx5lcCC@`VU(M3rpl8xvJ+9r8E#Qg
zLc2t27Nu|~w{!k0W!gow>^AB#Bs4p*N(~)SyWEX_NOGdiFI{{KK9Qyy!>OSZ`SSA=
z`?@xo;ey#0tcoMG_ZMvu+)u>nN|G|RaF(xw1>YfJ&-2%FFIm44ZB(FZn=gAj3u2g+
zwH@t0kI9=ip)$Pyt3;oN9R?Sq%)Oa&(-ql#BvRezWY*|~r0I~U5QpI(L;?~4pS$Lw
zq{E**TEV;SVq1u8YB;5M!$3aHi@yxxqY<I1e)ePmE0WSW5C7dpRR!a=euH6sKGFlN
z4mU|A?4HH^ru%(d#Mn$*RPbBvdM2?$&#`zkAA6JuzlR%=CFjM(@V(|7Xa;5_duf<S
zlsykSeqY-NN=F4D9dOmi%uRNBArd_+g1M|IfIjSa8-Y)7c@3qg39XfQvvP>+!0njq
z?5Va~;qIi}<YmKVdWF#v;jJiVF9MdY=OFoj=v3<oPK*P+pyb9EXf9irBUZoog0R11
z{7U-VftE0)an5Q-_NQ=JrCS6>VWpRqlA)nVQ!m4$+n?js2qQ&qho+<xJsf5>2wwE^
z;O=@7Le=2}BCRr6gss|?`q#V(gouEf!AE;Qh1`P9H}6(t@m3^VDZKb}eBZN{4M1$5
z?O|iO<t}<O6#2~RiJ%k}I~EneGwv32b{fq7)8qO%lr$F<cHj|R3(Wt`EEC_qrl_7&
zO5+#?jZt_-POzKmGvPQmBDz<f{h}Ijo$+=~ZzbZ*$KlugaS64Fu$y_OV39E&*J{bD
zJZk?{zuutDP#jEQx8Q>?M(OEbM>Xo%DIHk3Up90P^9*(6gc-`ZwZA{>bDk04uAgy;
z8%)rbgw=WcT@w3-spxFfmWQ;Zgj>-(T^`(K(i!T>Pb7uy4>gc;E~V5`vTYXIYe`XW
zDD-!}nMfQ=Cj?41XKb4RP-wA1?2j?2*La}Lfc<%XpE~0HG*y321m>mnQ%9;SSMPL`
zO)9#WuR7mM;^_Li6R-PMLd`uOVJGk`8|T?$J^F>0gSA*qYXujt-M|jg@af?L@mrPA
za4V7<_dSbNN6=+J8A_=>V}Gmdh_ByTEu5DlS}n=8y`yzF*04@mtQoo3eMAt60ZeAk
zmuq(7P@Bt$>MRP}GT!r$PWqn>S^3Y@SGSk|KYZ<bukE)r!cX0eQz_A)i0-kD-CRIc
zGxPi-K(He8$OhXTlwH5{o_v460GLyh2cn&=HZ!<bCf2ascG{?Dl|BoNF^mFOu%*Wg
ztZfJpD-X-v6Tlx4<*eT_F}j;CQfL;0lI?ne&_SCF!5tX3y7<Mq(zcSUiE49}cpDKB
zcE6%%6W?G;<+7J@f*;9Xc4(}&2*Ci<Gu!G`h<N=O4D#q~`Q#Tbr)b+s7ub-}_6~}{
zY9a}v!1<SWVoti7V7QPKrw?)W^4w3Gi11pt6}qiIr$Fy)bBo-O1!L*%8NoJ~XD&-!
z);=3r9F?EN<(!xcT{OK+3?)}Ks(;+IKY?3oX6n+X>vhv!`OrP~uY>+}sCr$p+7ZKh
zUU|H^4!fV5V$ATX?fB~zY!h~)(+U51u(g=|ndx7%vuppW&*Qe@@iia!Yf>AtKV0i|
z3Wh&zxAu5;8Pa-wjOM*qIxNxh&x29bN2f#vxq;*cTg6bscf~bbx!YBFHM{HDd+9By
z6_+_L@EYYR;6CLqH3}vX^(mSNLc))(td=~SBRZgO9DFV@m^fOB+yKV)f{+5Y_6{!S
zCp&TGCV7c4i09hXk%cs-K`=EP1x9VRxFYPp9H-ZyMk)4q2sKH2U9;@@-1s5?+D3)-
zyF7F&{D7OfgTMNiX$ZH&KbG&7XR}(Hi_3uXmFI1V-iRqo**ooIF|22&@9XE$aSe3(
zu2&D5+@LVzG(@weR#3krOk3+2u0Z+C_A9{?)5?B}F9}4am9pH-p_kSEOi|HgQpn)=
zbV%}4i@X{vm{Qkix^s>^<^pary`?Hjann_JXKIc?%b+!RA^8b{KumC8nJMI|?dq^w
zmE)=hj0(N@2Md~AXE&;HT>E_a&6WIP7+O}G3#W{N%s7y#0)A88ecfabl6%$xma~0r
z3-GeOFmdbr@lJop%fi`yH0olg$0GvqUiFr4c_!A|JJ6s%n`+T6G*SN=0`8rG9i6-C
zi^T@cxT$6Q)dohQQEOL$A(L`*dGa2dN1%5+3R7+#a;E1%0XW(Z9$%Ivk3))e%Qlr(
zqxLk|rLf+CTjD(W6A|w-NXN<U#K66*$OIb>30tjo@L(LgWvEzOM+(e$<*Wftl*tf|
z>gQ6lxN>VmqJ;cQ(uF?HQkr@5xyUZn8k>v%L?yC{u3}_Fzd8;;+uwvYZia`amM|n`
z<|d~z1|-YZrNNRmKrRY0t8uiy4Z9t1eC&Ysalr*W665~K|5*S53dK0vQfv#x<?uws
z$|1s-hVDtE83`{*j;PapiR#_)2-Z}%)F8d<UYi{BPUKu901_0RAxt#vm_{`>K5`<O
z0xF4unII#x0tg;U@G)40%==h_WxTtKv{zMH@B+KX{G?TRF7C)})`IEYkX=SM>8k@P
zJ#JE|TyS#exMlXE5&zHJ*@chSl`1(H>x=_VR{cqb9c6CVXC-dO^QGXzVj?Lzt=CoH
zd1YTCYkx6J({JReGLRDdy`fKuB2Y&sU}<C7u~XbrrG#|M{K%zlaX<fruRG0<9!uGO
zutG%=yDQz^;vGzs7OFVd<nRY}V}@OcyZHijwfMPfN2bU$t-68x(jss69;CJ&wBt|U
z<J8%#Lre=bTT8S<8_b`xS6`zDPd8<!--AoeE-KbxQM|x>+=Ly6GM%App~2JZ$$8Qs
zxNXxW;F<~$aZJ3x=?@M-aV`Ucva9c{)slV9Ge0Y>{iLy_JwF~zWqr8)ZYxF3%Wciv
z)+1g)-UV;XhT<$tA*TZ$trd`sz=Cye(#>U=iV&q+JfuHTIB0h=YK=_cUbbWhlkn%W
zw{TXXu{gx)lvC)Hm*h0c9xO@c!+Jp{><nPL+;;NFh3ew)QmjNBR1#z3cL^FZg^h|7
z0lW@K;5%TByzG+<;FM%<#;2xlsTVlZ4bNOq;E1YQwZUtR)sxWbV7A=i$Cwhm@uE(?
zw7BE28FtvMTKFG*9g|HoYJ@Z{`p`!&C@jWb`2EGe$0V!(Ef<WZr~Y#0bb~1`o}tqw
zB}A0$PF;59)uvTx{1;7hK7(yEyI{Dnvik84k;3>q2RJl67^3Y~X8%9UdR5KJceMkZ
zj4y<w0sT;}*jBp{dT?)61WnlzH08<#iD#m)?jz*aEOrL|!U8DI8hGhKMy@(ZBy83j
zmw5>>HZ-2hyQP;$f|l?>QxoVg*T7P<w7b~k(B5WW85qYgSYzomw7=&glahd2g=A>U
zHGh&DsGN##HlJR-w+n6%RVmj5EzrNS>-+?_dGOn;jeE6Ju4wRRx#EBc@OFs`-6e}X
zuoo%3X5T<W<q>@!$9Zbkksa(}Isa-?Q7Rs=9y19xHhP#}o!!SNW*(`z_oU31)8AS(
z@y$BYtWJvN1~2)AyS)o=$8?#tWvyYRbu7@m?7f=w3g6uOUe$U#KJ^kRq~aPwpVG$T
z?<ZLCPpah)<Oya~e_+j5^;+OnFsMLO)?ERXDJCKoVLueqkU*@@Ti}8R*<MRI4oJLR
zY(FlF*Kn1_#|s`nQmaKK*anO=exvT{NtVNXBAWGb2N{~VrNyge+cc8kSGwmWz&7Q@
zvw&H=NtBK}TY)xVBqB^Dcx9MgjFt;xH|Bw<js@wiH+^o4D;J<-zsgHC)I_kodoOV3
z%>v}Y6ggF=6(aFWEj5q+k<B#F!r4l7EuTYV3hh?bRi>+~ocqmDw~t0$jdj*?PsXS@
zy|B`m+=g4Tbfg`z4kPk0h+-n*!^TQ2F0hiS3`}k$c2KxJ*e@V0;tPRN!I`VqquqBi
ziOAJE&zts1S#n&}gRsDf$6CR$AzR{$<Eo6_WaSGqi=2kT`R2xqq$L&J>NtzjdP2Z0
zf#HqUsEQ;jxTT-5PTycB{k&guSQ1I&bom^whfi3rt;H0*V9;409le`M@V!AYq+R_U
znZ}O%)eKng4TBA@Oe1Wc{72SEvx1+p(d@9YtXq_%0G&NYEXGJpBW5IvPWzJidbe@3
ztwO5-o;*<|=Nvy7o@G!E2Oi~b%%(}1JPyMzRATZTfWM6h`|1f`co~`Rjn*IQmv4qC
z-MUuJ;2>n_y~#Wh&m)!|0zQ_M%a);t=T|_&ws|--E6qT%sMj{lu1#cm7B!}|M2?x!
z;>VqgA&Zf6E!$2l3<`drR$}L)RK`sK#<W|stQRi4)$t&*r&6LvePv7{l6&P8S;&Z;
zE``0yUkDHX_(RbK`ST`z!pGn8$F5wz5TC=>=@6A$;k2cO63;gnL<X&bT>c&wq&?6R
z){n*AI-qY_(}tk?l+j7&cwE-BT-!^H(b@58!XYaHtMyD=a@Phi_E%esJCa+YdG@39
z2i9H3{U$%IjSi0+4xx4S+EQEF7gT)2uI~v#X~-LLA9O_BGX|QW+%%SYoEKv<X`J>m
zb7^`A$QxZL)!uuHpJ(!y(irXDwS?>^^*OI<{pNdSRVw!jGVpqlU<MBM5H8jj6nFrW
zlflWP5Sy^rsje8nU_9=Qj*`iuTizV^cQ)EPfGOjE(T5}PQ<=Gb3Li6H%-!JiI(<Fc
zW<!x=CWq86>KaY#t-GaVyL-l)w6msgS?kTT-a8O|sSU6bO|S40l}Qg+l>4c+ubR)=
z&6d}gb1^vL?|!8??3vd)VsMQFQIj=Ar$;AqJ4T(No90^9h7t&KLT+WqDxqlWyuD1#
z^Ig)Ocx$PL+?oAmA0oG4JYx4Zkra4XP!$)HP&1n`I*|ptXR1K375*=--heM3r1vSV
z%BwA-QSaBBxy9;zv402O#ib%kQ1g=mgzNmzfg{OLNbE(<$@3RIyTOn_U_NzHHsEp#
zQ?5p*1!1dfO}1?pd|dgq3ks$(kSC91ZsCpV+P>|Jimc4mo=VtqH<n|kyHtTU|9RG=
zWkwh+(s2;0L*B=m;JF3)N)^<zvNzxz6CZDEc3WP-2FpgFr}28!b@0rBe=4uuYY*Zp
zo+_Ar{-GL7)balKKzLxY)f*+c12Qa&g%xq!tH=PCW;*UPE`Vf=xqn)qUZS}hF0yiV
z^tFl>HE#~j0l6C_58lWvCkQ~OV+bZ5)&IN+SDJhZew=myT)^tlLHFlG2DYhn1cQAI
z769zq7r+bL5ZvPO49m_lBXI}iqj*4is%gqwO;O9UD>uS2(5Yx=ZN@um=Z@7r*!7wO
zF2WUsEN;-fphsTPTWva7a{&=wP2LJ?`~+STJY~sFyder|I(tdba$rx<E_b!47BGJJ
znJND`{&#hpZ=V)Pw3bpxFC?b4FtX*O_{q4GVNX?)J2yoUK95|LVDiHI3KONe2lyQB
zd3FEk)_v<2BjE4@#SUJ4B#pMuIeqiH;MebaEKyOT`_&F>DWPCypCOFM4eu!E<JS}n
z_ry%Chme6QNan|3sM`Z_3!PGFH43d-41}J>cJ_1_)24GLBzE@2^AcYPT@NK@rIt44
z!stn0vi^e6-{HNyf9k~2p^<QoQ+3&<(PH>*!o5@M71SC!3$8aFc{gNtm&bPAI3oMp
z^5)3n8;^Z-KS>@*7{SLE_c91#2afp$RTh!lz8xA{*@V~a>}6FC?eOK*P<Q@w;e=HY
zmNsFoNycZ)&2j=j`xJImLj9|*suI=Pq2B^64SEO55N<wB8x?2E1mD*)k&o?Jra^Xt
z??rJPQzN04DY$`gw{#TnJ<4WzJJdzlLN^hIFrkOD;?eDpEAzcyTt%aYLp0F!`V)yV
zlkurI>mjD+7_YJ3Ch`dpDor~~I-&)@gw=I%?wyQsZz3laS@v$av{c_JbrtuH^3hE@
z0<?HdD+ZgV+0*kD@vt@M)FMAT-E<~YwFkMzb2i925gAEy%-<ng!l>?`W2O0H!Y^i%
zt(nZQ#_K{&+WS-U6IGaT@nS?Di@;<%_p^rIMk@(C%+(Y#y|&I30XTZSCed%FCB_VR
z-Nu~alM{+nU43z?B0SrIQox^!)x6`a>q1V^$Xt(0o0-&3*ng+P>4@d1)xgZP@+09r
z?ki|+1Jdn1rwii~oTiO!)~S!JG_mO0UJcoF?wdP5aX;7$?1`v^-OAA=*eRA>=ImP%
zsJ`<}G;f+Uu(kJ^X}?0ttTX|4IM|m<V_#vN|E%{Inb_BDftUlqPN-C2b&GEQn&9pl
z{dYOjt)zAmBT{CZIuud)VK;)hC+k3wRlC(Tu<(+nkuaKJ4=e<Z3^Jz8PR~d*5bK*q
z?9nNtcNqEL!tbk&)XMr3P0qLx1H0=@Q!Z^Oc$WxJw2tp-yCvUmgnm9a_vR4SJr<HN
zt=D8SeZ1v>&ry`giMfKBf%Rj8`0q~(C?bjWdgz_;9D5ZgEg=OiU$)Hi<AV!!{!Ic%
zz!1rDq{l))YCK!htu*!S?X<IlPQqGN&!tiPCsB;whSrbp{AT?|bx(VSr_?g1M?r2x
zd4ti%vIF0W&(I+9Eg%y}69i2!$S@f4%f;*RkR5JRH?Zrmb37IPrcx>O;eI)B9lr)O
zxqau8aI!uTeNu{PdjOsyn9b%P43jg%wQE+hD0esukh^X8te7|<jK)Qg9cndHeVp25
zYwNv%-YzlNRG@|@r<cE0DT_zuArE;K2PXO9cAhS+{M$!9!n2=fY}$Km?)Ho+b@pOV
z!3fQh=IANOHT4a_pL!KueE}h~HfJ=7_&ge6&47#P0!*&BTK?yu8t(+0)zo(6)RM>R
zX%HtWD&+uN6=!91G8WHYt|pE?=4@lvb3L1ayoSK6uc&PO{D>Znx#D7lC{w*IvUq{0
zjJu!@VH@+2;xhAu_>o3rRboONPnv^4WEfXw@54-KeSEgb$NG9Y;X2|H$uj(t4L2s)
z-*G*7{aI$I&izbt_Hh8pPpaytwacyS;`i3t@pHr8vLTfs1HSfz#3MU-eMJK#dBZ|8
zf^t(0SU&B`2#AeAk@A)6ZGDH4)if7GK7dbl9n3>+A{msW0d034#+V<xyTMnAfEIHi
z@j#Kyi#Dg#$?&1{wg*XtqhxvKE#<AME%a?ibEIK=FUK;09U`k`*>)n1-&GWH>TQjA
zVgxx+1x@JE+9iw#DggPQ;*L~t*hzg}q`0@<mrRUZTHrG77;fr$c&bwqcSoi(If+yF
zqD=Dg>RPdmg}X`j!2QB72<_&K)HIIY1yHa?^&<k&8fPSAc%x;kgi3y&X_p$Mv*f*u
zQJ{`AV*K{jqguU)h#XnfjhZrDb09(bWrYbRIp<1p9fy?!kxJ<r*cefR1#>su7^!vS
zbpeV0kTvBe>(v6~vlj(&ySM#O6*!Mb9KN;3N~D5?P4%k+M@tkdbrzlYi7w9Q4b=Fv
zc2>e;rF?zAa4u71C*0DOd{|SYw>%OqD;w_&(~%BEyJ|PFVqQm-KituVbv#qCf+a-v
z3Rf-A5cG>Z2#XSkrJ1jS5;sO{j=YY^pDhFjO!86<U(jwHv7!!qQ80VJ<rpuQ$E&w~
z=tEYk>7LrK4ctwv6<!gi;N~rJphtXwZ^#dg23<=iMi&|}Rl(|qz070Av0w~aySCFY
zHCe)tER>LpXvVJjkut)oE9}j&T!3Ji7!JXmoTl@}|EOdu$_Hvc&P%wb+0+twB_*_O
z0BztFDa*J`bV|agDwk!uL6>dU9PQ>90`W{Q`?TGAHoU!g5<#Btp=WkxWup!pFtWMq
z1<U%wtUno3@wo_Kv8DE%w10i}4OCjFv24uB3o+-k#O*k?8mJs|ZQ~RASFD9?)zYoB
z!o8=iO6)R_FZjdsC-qZg2?M@($C~uCYjH_9xXt$%;$Wz?B>1)RT$AniAB&$Rkg1-v
zy4d&0Z+FS>j@{c<@9k8R#0#sqN^8-?WdvjLcej$rjIZa>BNX@T!+-%=ncFk2t?BlR
ziBe6DrwQ4}#t~ns6XNbQ+#|uuZe&r|HwPIM@LDHEld&KtM_D?`7S341Gn@Lr0=h&x
z6W!iNjI-r;t;|O6dxCD+QIc<pajE2Hx0?xj2yLbd`^CC)>k9y;9?SwMsOT%=YUDR=
zFR!7!C6+B!kX(5;c>6$}J>1KS^kF_d{0Sc3s90M!iTfXT_s&G@|KOUj{WoFpzg#oU
z|7({q{g)ii`hNto|G#U-%ErR_zjn=Bz<HMazx!~_L!%||Hx5F3n%=0qQ=Hv7W^vuk
zyPyb*kO-+GqpuM&G$*78r4VVki6_Fp<&L!X?*9HfzWw67d2Vk%ym<Ame*AiOi2_sA
z7PTa@v8C|CNTr7Q6;K7nrpGt2z(DgAG#OB+fRPXz#E==w{c#8owNY~ajT)-{7M|}b
zIuLD?LX#(Em~qe;T*m<#Gy=#7f|iy8g#a-rlt0=N!PNns4+76i^uxel9Mw|*Nr-@-
zVMmL5dmv4O`2B$nBO(FFXlg26igV<j1PvA;I?xz^k$V;TjH4ntz!-!G=PM5H`<Ec7
zKan8$suINa_X{v=hXITp@UoB;{}W(YK;{S{%D)GsAaP(|F@Sp${K<udK?1DiT?o#@
zqt51LM2Hm!Gyw*S5io>2#_*>>3IQKK0i-5Y?jJ-C`H^J%k&FlO%Yg#`9{QDhqy8j7
z#QGw}h!xoP@i|yGU|9ur5I0u%7t%|ajv<l^w6Adth!{(_KmKqJz<~wqPK@mL3<v()
zA_wg77~Tg)LU3=PPXs6<U<?-;j8jaQ*Mx^w5%lyRXcz%9FX-QC!2>18_iiwL_w_P*
z2-HyUC*aP4cHzeWvABnB6eRlfQ55aspD<1~kDmn|2{A5Qpdc!03UC6RABd0}AB40z
z&|8i#w;qte14_A!eg@s11TL5`e@pQQPmv4&F90ag%^!*K*><!C0TKi#!4e43UcfW2
zF`svB!aVsyP9_Zy2M3g$Zvr|9a6WLB=TB#nK<KC;bC3TSryYvHiFKukDgB%KfnV3k
zMh5{ws-BXXkOGQ=k_-rH3i|K)jwRLMxsL5Ol4Y>-2;d}dCo%5AeGITqgy7d&l;ofP
z8PixoOBB%XpTrI(6})JCpTVE`z<)_)7vBU^e{?T@t;Kh71K$MUe@5T@Anov2$lp;y
zXm$Jv-4JFRk6Z?S(k;S2I{M5gNH=#+`gMqia(WQ7)!>@Tiwv9$Dz|00vh(8L1@WmC
zM1xOZVt$#naBOfvqlGk%AkPED!f=5?e@Dc1n1fm0@d)FK-v>eoZRdNYFZB>Oj|Mv?
z$EW}tc<}IGf)kO632Ef|yq@$4<@xwVU<3v<u@Z2A<HU&o?l^cZ4oy%{03u)g&%l&a
zfCx|i@r^_P0e^xfd0Y6!FaijF`9ZUU<9!4$|MGtWnE-}=@XH0n@WA28KJxvyj*kJu
z&FkyPKXyKlMOzF00*^n_`QvF^#_=0zGNNAI9Jvw7$MiYJ55x9<1CJMb{RK4v4&Ts|
zfeGIG2sp_P=q30l5Ai94Yw@3ff3Nruem!_TJU<&akEcFk{JTRaR1ly5vG9ioRp>oc
z^{sX*mk*(ne>o_&Dh!@n_x{>(&Y?mddDAP0vd6m8<!@g@m84p0P5a8kI*?m1SxsGt
z@^(>21nf<3(C!J{Vkz9HhSrOu_pw-=QA<_59?Y%hXN%U5Jr<o#T?4yd)j_0txxy{Z
zc?{bkM{zqGY^EIDX6FK9<?~7Eq6duZWP~!T$&EG!5uAUUp?02j)pX0%MP#sw9)>y#
zY#EKkM>|VoV;j-j))pG*Y|TEP=ZatjhA&mw`NE7uQ&!30P2G63WmvQ+w~B8^Pa<b(
zrFU+2aM(-axadiS>-*=t*N&X-3pZ46xh<M9Hk6m9akwo?RL4%!c_++^B)`wTG}m&n
zO{31H>v<4u_m(dnF3%=yf|lnu)J@`3_j8O)%1mw6rAwLgOC9`2d1a-V;Vq*b54)3R
z_}VX2><Igq@NvDLiXTJ9GGuA4)j_nAkDX9&(l_a(#ie0aNp_+%Qw!`PDc$o|+xm3l
zF=1+97BQahZ>;vZiIM6L*>pslH=ype_jG+SNWc8<CSG_NkOy6N!jczS)1=j;P03XG
zL1Or(w`hx<L?d4OHSZ4T9pNF*WD-o`_$$5KPY)Z9;)ip7f3mzIn29~VQsC{TOnE#S
z_Z?KJ07KDk>!qhHnr+Y4B*$nOv#T1pE-L$nw@r>obxctBAqjP@5LM8IghWkhY^=#?
zn<N3BjdA^4bo3!Ui@Bh$5<ny~Pidl(XrbD)@JKLE=JH%p@i?BOUiD6>onIelP~ne-
zRrSMbsJ0)xvj%k@Y+E5y?z>HdtoALX^!}g|&3g39i%R(~^{=O;FneNF2mnw`GuXZO
zbEhrYn{`CMb))f$J8y7`9ZEiH{ZYl25bK(TcidO;j5?P<BP<lH?&b_#@{Y+*2X+$w
z=>e+5X+;)&9PV<n<(80LJv<Mcft&R~WR!^yYTMyA@T>f?xFXT)<knZQ4_Q|KM>CqN
z&BB+-fqg8l7-u)%Z9;3bIGCI=M|pI!T*kMK4R1VSyz`}2D1k1v@)WfPk9K;iq3^h3
zIHY$;D}xe{3++7`PgoR|l6Zk)^oy-F_HRcM2zWil#Pn=jDccxuM)lyHV&CUdluh#X
zBh&~Cyt*<79rLi!nVdA{6Nhngw)JtR$&cuKo$sk}m_&a9Zul{s$HSyj9%)Z6Yf9b4
z%L3hNMQ~e=Q{UxBwKQVNGo^xbro6VzeLrnb3zIc1y<shBXI3vNkRD2FC=ga;zY?W_
znIu7@gnD~w2CR>Qlzv;vwbQWw$00wR3nS4uF9w$$$Ai|H3U@KR%Yja3`g@NV#7zR}
zgM4~xpA@Hke4R<Nu_tuxh(JzurO~enyYt+AcYym<s_ErbGS_68PGe!Eos|Mdo_Xc}
zPyoHeQ?c%B&$vQQt7<<o&JRy&u!o*zeU41E5$`(MP{6u@Ilq%LGX}}vYagwAt`dX5
zIDY%n{K0qH6>A+C6&IfEmO+^LS3H1nvnJ$gGYx@i{X#;L`gRf2%-NA<Gw|CS#x8;x
z?o38E^_gJySf-2>+8B87#g6EP<0c26Iy#xVftq$-0>eR54jtm{FTo%MmBD5@>C91S
zw`TRoR=Da~i$HXTtKbm)oO9NRr9P11()a7fMW=rL=yn`g?XYQCJBwahRSMhxXv*wJ
z>#ix0GEimQnq0I<2HJ?%Wxk3-$(7FbEX872v~@Dwss05vM2WgDRNxn%X-_~!xj|se
z*OOEnMq9uHcGH`xwc^MAK|Q4bp{zN&I%pQn#BFq~wUc7(Y><ib1i2W0|I&((a9#dA
z{k(2PeHS?THQNw;i_qYV^OoRgV}E7&psFMChsPasT5+*Hm{H)wR{Agp@4JYTJAfXm
zJnFYvpuK1-b*G{oT-%Gr5>eX9oznEC!^KVTwv%QpJ-Gz00Tk+*rnVVu6@EAS<f~|L
z7aGiXoa!MO1)|==>#hAyzh0c>clCijOowP>M>izn+=!Zsw}`tpHad+~fvRj3eD&Qb
zTza=ZJmjiVoeHy>Cq~4Lqy@RnqmqJx=R+rN`|T`!#<MbglrR4E#&-E00vp(P4;oA_
z3FyseEnHHK`@k*)HDj%g$}>rr;$J&-0OE$VREv0>N=*H*TXRkKObXS+9ClP4-rlnZ
zLxE92-r2Ra_D){J(Zv!)+dBnfF};ZtBf@?tw^+}xB6Wt1oY$b{elDJ`+RP(`UOJIu
zV8^u}udED3lFg5D*G=Tn7;tJsq0xW7aX3Fy%Hu4xS6!%UVLk79$m<9-KZ1o5(!;Yv
ze8zSq8aty7S5pc{Qurs{;mQRdk=m+y(5?((mDO)&;fJPv;<sYnAc3m&>X;|)2e79X
z)q0Clr8YtJM6DJE+fyB~F~NC*o?uul5=Xhx0<rcu+wW@SA{(q~#RLnwYuBiu!4%aX
z*XC+XC0}AopZf}=*|U_`J1aImB~qDPEuXTt>^7~eM%mEHZ45BKwdZ_!h1oYxt1w@O
zEKNVXa_-EOH=v=aFjm|kQ4Ec+&BbM-<5zLc>iRTwy&z7;aOS4k6RLa;w|zP*KSjim
z=~v@bMtl%_4KB{jQpV}I@l<OLRDtSxS$CkP4!E`eB0eB~J`}p!JtH4CE3M-stySLe
z-d76!VEfU@lUt#~t`Li-G1SVQ?f|lBbg0s*3Qr_bc*Acx*S^$vhI{fsd!6$+?PwaE
zWzJwu&&V!7yKkn1fO0Wu>$I_ycw8q8uE4@}^_<v*O~3a#KOFnswet}nq8R4596vwq
zY(~>(KhTl#bqnXz-hQ?+G4mKT$e1rmR8YhWOyRIV@1LQ<+GTlu$6fdNEv?74%Xn5j
zzns(vJ2f?5Op2;cXPl1N%h=X7FS9}K(aMi<g{S)?N7=!oBGH`9XL!-N-TYQ8Oj>BJ
z#q}7k2JwkPra|q08jdjc!lb3IM!;?7>0?1ZY<z)BgxO5sQwB);+916w_Ozw{AUs6}
zq{bADg+J*Wj|F5;T(AdS63^oq*CSF2Cxi1&Se~I+x>RW!FUmm)Vah|6S0bL=4ho;N
z>OV;hs`R?gQ^em_fAWOshd2V5X`U4E;@qLU{zuszS!^lI)@37*)rQp2NsK>|_XEwy
z3hGaPTh@w?S#_FeRkaH$PH}?7N=6+C5~rynvN8K|c$ZKCP2CE;y{yOw#FVhlmt?U2
zafDh!2{>+2iEzy`XE2^BE7g@?j?1x(jXcSo^E$9$$j>*u<=1l29bNN<_hp&6_6mpC
zK9R_Cnf%Hgv#WawWQA`yez&lq{j$g!ox;{R>8ha;FdcCb_7B#qAfDqW7~4wh!gu#U
zKlhD(tViZ_tEzb3kSlmEauL>m?RYM0<8z(yMqA582w=NdoJ5RkfSAP^8eI~Kd84ao
zW6Gc-D(AP2bWwlR@SV5Ux3t_*RBmS;{MxnMb}Z9AyFBn9M<0xKJ|`)cFn`~*UZ~N5
zXSHP0X>7gNs3V#$9Cd9f3?t`%o+JlbK_uDZ>%A>Ch$9aUG^)jmL^VG8;9;=|_V9~Z
z?U_Qk?!{C+_&SX8ZG~IZIE(U0baIM|+cAvN$Rt+^9BDwUU7FVO&NZYlz9J>Ld`i`9
zE0b?FH5WxVD(vIJD#^IjHd!@uOh#za(WhUHy2S|efae|L*hZ2O$O=w5nL7)yy}t9o
zRm%)bv&rsy2>}{x>07)e+~7Dx1+e>m?)}iJd)S&w-W$23`PrLv-${oBFvSs`NJfi-
z-r7!}aBl$<#Y_#~fq)O^-F9=MTGRTKO%p!M4icyv(47jDmwQe7B6IO!@G~VquSdvy
zhEP^a@GqURWtHxpJUzEu>+wpgbX86gJRqi>sV|7A&;M6_7e%)sGzO9=9S5o+<(YEV
zR`zUd;q=%^x5rdg<z^_E{>77%g60;8T5e<jy(aS2+;f2!Nq-b8q<h)&<ur5r%1HCt
z0CB~3L0!B0J%0Wi1F?VQezufHHA6~g9UI!P#eqf{PCEVw7-j<x3KosB1If<F{TBO)
zu;$0a9u#o9CDsO}Mrkk7aUj0)x%`2>GsJEgy2dGEPiK`i?nhclkQG<1(5G3tQm1N_
z@#i69T=R4S4dUYPje4WPT-9A2RW5)V^@Kp8>OPit2j-{kRN24ayiG%nX`0c?yY0GM
z_Fg)1J0<Z~qp~KkErQY|P1dFn{k`7lKFMM_w?$KD9uqfuG!@!b&3+xU19NndNp)LC
z*4I96JJSzcrS;;g+tTkvbMWIkLiz;O>RwH4Ope90u+r38m|}-spsp9D17s3n()iRU
zaZ9M_{oxCmBp5y)Hj?TdlUwUC0iN4N_kHi^Qppqh%R_hI2E@~I2b!eb33X$d_#qHp
zI~EHWk8)3uY9PX|AKGicUv`U^NzCngr6|y($a5(f{R(O`YmO{MV8_yZO!O1YRY|=*
zP$YOGtG>;=xXB1+`EF<YMp@~i4n{Rq^%4;@X0zNCo{)#P{2w=NG%Bh$nE}|>lpgxd
zer#VXBgw3J8l8PNT83V*{au<C4Ku^?34gmj(02EfW@vS+nbTOcbYJ!odU7VAg3-%`
zELZ4@XKZ6?3Zatsz+0V7h^ylnZ0|~CvFa0rDFp^OaaNSE&gCLNM2#%*@;kV}X%z^z
z1JI~|!E-Aqge->>7W-0*jhmATudc%J(S;N_T^{lw=yoLJ4$nD*KNkIclSVz4g+6{u
zUFVFX#5spKclYt2<nt>9CMJy=TDwkR{g~HzS+b!DAlI~ScbA@vOs;;J;`?<cDQqBa
zlcbeLutvCW+{E+G*YK-D@+D2Rwc5DApr-K=utaw1hu7wNROW1knC^&hJe*9etoj$x
zR2`L(#oseb*y%EQ3gG>r)b^z<-h47*QA;wnym%8<RkY&D%^fLEiPGkEh54+J8H2JU
zoV3lA3FEd(_ldu6gGa-VdNEzV>f$--+~k0tk@TNzK=S`X*gM4t!$eWG-Tk#~+qP}n
zwr$(CZQHhO+qOCXy~#`_nMtNz>#5!<>+G|(`C5!_=h4y=F76m#A(<$}&SXa6O%_J0
zr<Cb7zJ&k&rcg*7kME0lNFj-=`TPW%lHS-C``i{8WSEuUd&-R7^`%DikV|TB<$N1a
z{ID;@mSb;st?C;=M3mi%m*BMQN;GwKW-GY0Ym{<l4hcPFvo&>R)}Cxdd|}5t)#TvD
zrCIeiE>rjFpyOJQPW^39?p)ULl4mxV3`>22cnbn0Btu^m+2YUhe1y;)83GiV^@%gT
z2@b~CTb0OB1kQK$0ep@ai6cwx1DV~X&QVE@^6?JV8YFAx3tJ3j-kIrU2vc%n?xoC3
z__>181UHUg#?x*26Oxi|44IV+N%L+TuAk8+rKd8=+2D~d+{GSKSVaSDsxQ16VkRsF
zZmn0XLxjWMEc+SZ5+Mj6YT<A2MF>hoLD2IBuGT96FN~4(GQZh;=(;3L2?DAjl3KH0
zu7>;JVM0pdDjRbE*=q?OiMt5Xc0y+h<&jbI!FS*z@XSTy0>y~*HV#32*G~9t%BH9R
zL?(VbKWoZ1rs<bVZcj;@+q<A!wz&pEw=F*T*@&xlV&Sr>x%B73LK?k?&ky-`DnqC+
z2KApnh~x`J`FZHJkBgeE%NUhzl-3+3--mK!PVa3sdOkI7Jki2lOAepC?~%*pgX?-~
zNCduNySKfRbwGm(`{=UM+hz%VE%bQ2NP=A?!_kYhFf(ae*F`Ef5~5^~X;BitHtL>N
zb^)G8=~szu<EF#y5+RA2cijplOY9`ZaB|yGt3q;A{i2-n%@6mQ?VU`hh-gcIw&3Ox
zCFY)rY;~FM<U8#-!+`L|q{i>e{7?(I&5fop4($fuoRz(*Ap6<oXYn=!XD{SOh1-FL
zML~!M#m}e1rTPd|z{k?t9&oNQ3?&LGhv$ky+W{?K)c!oevAok9#~9X7M6?y<Kf0<p
z{cxHe+lmX484wJiqY$@e!HYGzZ5{{A@8%R|cb*9~R0I-c8D+%p_)Z?xSwG36`}D?t
zQ|WpmV})TKE>caYO?e7tbnoSMCWReFI>$P>bELG|RP-!RT*y7M?oWwiEwvB`l-_ei
z%3<&y-!qx6htr-5n#cFq(6Wpg6=Ghs{z4T|7wBz9PLZw7`LQJ>xn;`Tv~^d*SO9TP
zd0lB_>cJ4&ZsipUM2{qUez;6ty7ymgQ`wo~$ce3wNg8*pj09hP0C0oHB>xu%{eM~s
z{$tP_tnB}jIy2%kFtf4$FC_iHL+Jn3qUkyQe+vEoHn+rdfXHiKwbDcbyQSgBbp3y4
ziG8OXNjnfk!XEB+fMsB3ho>DRaLZ_l$1CsaPvuTU&83dPXWDMI#ZpBnp~8|rLL+b{
zU{OCF3ki#fijQAVA}0o=e{ynQdU7&WT%^R}>J;ExD_Xn+#@V3-B<TIm1pfet*~u$O
zBD14sgCalxz{3p;01M1NCMz!{EH4G6e|B>6jW1Lm&DXy;BdmsmKLP_E4ir!ap@O(y
zc9*twmDSeH;`a=Z-%0>X|LEw*;Cl%N{}kN0p@se*VDj{~wSTM~2F)}!0H!{aR{nph
z&LR0I%??gZhh_#3&(FrJPR=HvUFuLv3_#pAJJtY~{A&48VDpIgU<Uq;8ASJVrqkid
z05VuwYkkL<`c!OkOlbJ~GW+^gfWRHS9_>NY0kr;Y#{e)KBL0y`@Xu)thkBsV{(WBm
z^o>lv<l6gs{=ki)K9@G82Z657jX@t<K{WnVTjTfxpje2QveB`L`eTeg!U-{fsoiJw
zWrSta1Z8|=4dkU{0Tz!e1DM(Y|COFu9vEI7pH5y|UfqL<r1A}RyJ$cfQvkX;0|#zv
zBm9-iEv|x?KdidirS{3L;sU<{fBeE!TMMMB`o-5fyBRJ3ZE$w|J0bpK^*|!{C29ig
z1Z-E=(C~O?2jDjYn4cO9J&C)|+?DO;OR@F~-$Q@@;ta?EP_-lW|7}(6Z^IMTQ)7a|
z@1GgLIlud|8}TC&W@Ys+sR_aA$2PZt68t9n%tAMRLG$JEM$@A62fW(4ZU9vOd;dP0
zJh$nl9>52?^PB$T)<b1Mkr4q=3GGAw6C<OAeFb`FbZ7)hU++){wDyC>nA-~Z^9xg8
zY5M7k_WPI&sO|^o?W^>$TKZGIes}|z|Lwtc_Wz45f%eVP#P@&ABVaQ=F>G=FGW_zx
zec{vj{UiO3BmZk7_}c@K=;C7kt|<Lc`ukJJ;@ISL|FgMgZN9a&gUSc?)%rL8$GQUe
z+tMt_FQw%+_E(eQ#N?#~%n;u)<hN;lMQL*d(yZL#(p3LprTLp^_0wPi+lrr0xxVrm
zw*~2caby0Qc5Bl@eZ6OkQ)@@`Q3m<m%JG+@2x$!1`fW6_-q8+dN=s|H8*Uf&9oi1i
zYi-wM4)Ofy6b?u|jbFc&1+^cO%hwNi9r!*L;phaYKKu*+6XFg)jrb?PT@8SG@rSSL
z3J~?l7yhrm@B!`+xZeCXs2z}c^H0Frj$!6kz#9NH>JOiGmkrp}o#>AbQFfM(I5zgb
z3D5!x>Xe@VD*)8J-hB;ql^;-Viiye9LtO3^9LxI7i5{#S>FQsg9fZxV#NR3`mK_-u
z{<$8i9pjeY0Gq4pe>ce3zaV?>9KZkeP!mq{3U*oZK)&S~*|yrihWeK6MmT?pe4kuA
zyEuZd{Z(!M#5aCZe_Pc55c*V3o?B)2{ahk%VmAB2n|dDXf5r}O)U|P@wQYV)?op5O
z!tJ^y4^5ANzSZdVARV88|E3OTLcjX<vGC^n5W87M!OkDkKKy2?L%OE4er)}ARdzu?
z{qFPT!13py%mdn);acIrTdH7e`l=AT?k1j{w9P{=%Va5WlI{|v!oL1dZliTxPVd8{
zVKvYR?VML}DK@VaP8HAfj?ui>Bh*M(+Qj+FkwRQ5@omAQkvV*kLB@_;eug82r!$MZ
zedp%<GzVQ5XyN;fE1ht5Jr!1-8tr(zPP(tWq|`)*&iyHGRh_Exds1eZMy^CMKvU+H
zOft=74v~eq7!ih+jdkA(X7%)D3`}RZlcdP$^FQ-NoRB}S>>0;(<vnRs%^SPj5a$!m
zkCBD;j$-E&zM}Anr;cge(@<#N=sjB^P!rDx7)WcF2%7Qg&y}~T#DTKBct4@*e9pFJ
zeSyGBKK0^Rv0Z3cAhkw7bwJ9xWJxfmZn437;Xe$xQ9ZQ0V%^YEbs-m;^j>tT^;1XY
z&N%2hrQI3zJZ;X~^DWu9OJ42BFWt+g^~pAf=Yc1*kYV*C#|SK6Li&L^KuTw9p(~fc
z%EMyiIBXn2-62J5r03h+(>;I*w%!1#s`}`r<Bls7GSzDL={fwSz@Sa;v6(TTVskUZ
z2<i&8r|8Z26>DoF!>`+mXPAaAotlWd_)Kg42^W#dLs_T8P#ATrR}Y({QooR@NN=BN
zezWjvj8l*;JvkLvl26jFZ{6nJQ9Wh2mZ)lRuc@&#?j)I)HUx#{3p~Wv>-J(z1>Iyl
zIyx9-3)R2=h?JNWzsql@lFFIyj@?}baOBidS}+<e$cwabIq`s>B9~<z;u^=w<jp%X
zhv2%7az^EHV@w?rSC~VlC4VBrf)IVDMx&BId4XF3i8%1-vVk<Nxt4D)2;!R+){Q8b
z+}7|br8`5jSp0bsAp6x7c%;c4G(jvh(etzlu`;#@U0lgqs84TfLBsDyN(8xz=aXu!
zLrC{+!WYIwcs4{@>aIN^SLu;{rZQ~7ZL?!w`;f^3t_=)C(s26{LXne~OlYf78~6L>
z$W69xy-pzd;QuUBE1y`Zcg6b9psUgvuUCLcbP!M=R=5Pycf1Y%keF>sk;=g^%m4E7
zMCz}#W?KF_v2F|^7ZP#-@3IA5J4f$vg#bDmGpHJL4&0-Hp)cISa|JpvuLrf{CHhqu
zRXB>DB!n<N_zmR`tb1o53#EuvnTBdy)}+Mag~hv31?As9oCL(2{f3Go6!UB_ZFq3A
z(Q&=;UQlM1IHRk04s0fAXI?##&FNt#B>S$^3Fxy7Jp4Q$6Bkn~!Nmk>5L;K5_}*L8
z1=@tgp1sJtMP*zGv7%jd6kw%<1>D2Hu&`hd3IUfAs&P+@wTqJ$b<l(A_3Ax%RzNy7
z&LHSPbjWN^2vQdnfZLa~Fn@KCw>RN9a+g|3@b|Bm9<5Gws;tV+yzjXmB~ABv*W(v3
zZrk(1F<aa094Q|><1>xZccfU&)N#~R`3_#}HHDKJ@8Hw+DJS-+O)ePKp#K~nO!Wl(
zdF<ZTf&rW)9&snj&I;f=L;Y|_IcdrTc&GsWnTOX#A;_7k53Eru3hHT-cKu5TUiS(?
zWswXZ?GDokaS`PziPVx!NnAX5xGyNopn$Mj%18QhM`dS4_F>}(m&>Q`<e!l>`Pt~+
zBs)~~O~#K|!1)%a2<$=IGuz=|pkXsi&EoBe=>;#T!z%H<Ot~9#p9mGdQwy1EM|FND
zLTb|rMO)>tO<5)^;c`Ig>BAGK&m7Cek?^`n?ns>sMV!F^IhvwmdqOG<;k?!@2J4<R
zj!a!r;kp|b!*kte)-VJe2@&r5@nt75lDS@-`uDZ1l)Edp3k$6HqWYVTIry-xxo5}*
zl=fl`P$``&a%?R+zYX^|j5Akk@bHecE`NZQL~|eo*3)4Z#Fe%NIJ`(sQt%#$Pa7j8
zcd1x<l#zL9jgi-d*h}PHAdoq%v$=5Q+CheO687n_r-LF5U`dJ9To^WzO#~ZlBcwp~
zg5R+?kziD3o;0iNPU0(2a#YEIa-~QK{S##I$)IhgyC{knwc;X|Dg>5NiR^{T7txBI
z6WUHVm8*|&i-D$^A>6vY7PCbS7C^a|AWN(nxhkTA9?xt|$l=W_OesuWSNBQCj!;yk
zh7{+zCVU1oseMhtKLA%9Y#hkKmsA+k@F18xA8^=H<$OPhqn`UU(|)u%O_PPJs~mE}
z9!CNt_=$FLCJJkZ7}<;i#Y|EXB9X!SbH?(|d@OQJH7^4F0ze&DI;`=_@zK`ffO5Y}
z#O6Vc^HBKrYt#ARPL%~z%^CvzX*OszYHo$WA<F@ZYqQu0EPskqxhWlv6M0Vt#B-;I
zYLJZqeQhOnxF4(ivnEw5rm*7E^9CW&D-ImnRNC27gB02UqF%z&T-I^y2L%t)XmWpF
z3fvD$xhp4*4WVW5=oCMBN1o*={gGfEbBLj00%PcQjn0gyfNl#Xe5Crfc$i-Q78#v(
zze|-h5?;AtG{7srhNeD!jTe<8C^Ar^WUxB1$6{)Ic1nv^4$*ND3D-1-$e6sDLXx)U
zBOl+VEW_+KJ@a0Ni+na<b)d77%4);AlhHM%`Xk?(*28w#{_0~lS}6vm&h+_Tezx6~
zMpu1@doz6exuvyV=A9)*8ld2d#Cc#?)pw^}Kc8H2`i+o2a+rg{X&|ynx*qCb0rdxu
zrbK91oTBW)YY3-=^}^>5>Uh8w7Na2UK~l5iP)R<};GEG)15gS(1H-pL+<meCi$$3C
z<xePAPaf0@v(ynh=Ts7(P&wC=Mi4Rp9WeU^bt`zQ)Y2{Z=|=DlVtDtz9$v%75GM}o
z`0(B7G|&!Rnk_3^Ys1?V6OD0ML!@cYY&{m#jTs(3CUt;qNvPT6fZ%sl;l!dAD{-G=
z3u9tD*C`Nm_iSh=?jCUZmsS(_n6>ue%28FgM0@%OM`=~9#Q!W;ZM3leEF^~GaWd;m
zXV<0GJa#hbwlQX1Q^)aYgF$G~|9SuS{V0bYuvx+C(47yeuBaVAe+mLl=d@nbMKWsw
zqrd{VLK_QS2c@&Qy9zaluAp`#g3N<^rx=mNP17OQ7(RfoV2ko0nWjDT#-niHpYcRY
zL9~YJu{B98L~bMLhEIB(L}*%oWQp%!0@CA(Gflz{EXFf8NI*48t}Beh2Vrf4q|u}7
z#FHaHqFVSbFuYX+{1x@sd;M$>VwfV(<%;?M!8-0Om=Mnhv&1{ywsDPqSu&^~g_%YR
zT;=*~D`yZ4EdSpMX}p|+ee+)BBh7uz`B>+p2>)XGt#V?1c02Xe_7jyKEjNa9P6zJ$
zwlF266-r>Xg>-cjs_4w@MTExXeo(U*$5gFTtjbjf>Z)JipxN)|3t5Mx0_^I2x-47|
zbLj%6R6>QDM)W3I@OZ&osHI-#p43uW&8FqyZzK=BD(JR)rnd?s3<daF{$jO~t;+s~
zGR$0lE~}s6zGC_VbGh42m`mju^t0Vxt9Y<Bx=&X*TEXW%mV-8?q7>!d@g>Qrp(sJI
z6RZqtXlbhex}u(pGq#Ma#Zt`W)vcAIX_){7jvU>~TbXv2gFNaZTc8k6<_1dBt>{dy
z9&;xxU=x-FH9pcjnz_daw>Gi+rm@2C=FfJ*g!AwusEMH-$VF&O3Y5_o^wW#&`~ujv
zlG4a!o#;K4DTt;=JdIDUTtYhT)>$N0RgKq2wnX2CBE`RYZR`=<Iqg1uw>LeVz-PAn
zi>1wANxLweI=X(0_0z&$h}|dgdt*ez;)Py!)ca{pz|R=6Gh(l5cl=@*r!smgwH0M4
z$x@1;tjmWDXiE`+GQ2zbtOe})_#aJP<K-t@ZhE*EQZ`2Q7`S)$H22_m+l=MNFJ&09
z<KRD2w1;$?u&@x$PRl;s@biTb<}b-nDSEa2@bqrP0K1zGVbCyezp*DJOaZxNt)cUw
zx_a#L=1DKG`uA@G5kw#h$5b$ks~-WS<mWT}<Cd7PCdCRErl4{CDlQeeS^kax-quIN
zo>S%-fP#_eVeQOA?Fjp@r!A!>=jEo=7<$Zf0$T58J#l1FhN?a3=4~Q7c+LH2b2z64
zQ%gN>rVz8*+$Yszzl^T16AV+?>M@pRto@Z4^e(YN@e$qLP(g%;-BWdLjRjuF9SVEX
zY3D3ih~l*}5)-j9GK1}l?X{9|OnYwfu;xgCqSm*y&ZRZL8y7efX;md`<&G!+IBuv0
z-@4J3EOy#w`}uLLo~Ri{ZeMThrYqAHf~e|R<c?>vEK{4`h(n-nAL}6zcb;}m2wt{L
zg0XY_24T)pj)i;DHMta<mCgvAL<mXF!6^bfYK*hCPHa7b$<=Tm#A^FT7ND+_m^rb8
z2=WmA0%fajXS7CX;UdUXcz^aU49`*);vo3s1CYr%=O9Mo4JIUwx&g=@6PS5?lxFR_
z%l7WLZzBTNz$;}fM0}xf5*jMH?XbF>Lue!g*1L7B*rH=x6m1+e+RYbEbK3>Z(Mdj8
zUuy9N#6AY06rYof`k7M>4K(6fRPM80!kpguzvP_B)dxQicHp8up3otAnw+X8F6_@C
z|Cd#10Ag-23VZQu(#V2DhExEU;u!||iP&0GW4kRXNtSj;#U7*5%mr@M$zM^OTi=-*
z1a&K_exx<A#@*Be!Z6PUbuspL_3m6^1~w2#<-aJwipx`^#4%`shY|&jqPGCddh0fT
z$f^ugXsl(0e=YVRS&TfTc>{RN+Pd8{?EsRMo{S|<NkGKjcZLzsyD72<7XtgDVG)iX
zq_sBE3y6ffCZym*CNIIvFcOoSBF9B{?T79Az+N?^M7IoXP;_#$YHDXP>t)I`T+fj5
zWNJ#_w{&G|+CWDa)upZ_K8(^?pqavtZpYO4!YsxWNg#R#n@DrJfIR&0-Rc4wivz-;
zT$_87?4PyMlq2KaJzH+?elzs?W?Jz+FP;7pu&jCVo*94bBZen)4GGx}+=|TgLbOVm
z(Fz@MMkU9bAZ${VRYfn?f6hzu%hhXJ@K({t>|OjOY^?mGUq9TMBCjaE=G3vv$Gr@i
z`}l>f-;DSMTD==Ya4oFk<|#l4ju5rbHX)*eqQv1;GW5#-{xaHcoQq4Z(##b}d{G5E
zHAH;ykz6y?{Y8}D3;wBtHR?vZJ|a~^2`e#-L|zOMi_fjujwBDw0Zs<BPd2BB&Jw(F
z=s#g?%zc)1Utz4=9w6<_ebg(iRGbMO$(n+ViVH-sj#0kOmukqEVQ|U1!HuVM-|ki=
z)22;Wsp)Ma)O^!qd!e^?cJsya)M3n+@O1ZGaSN;%RtJCIrb@M$P0@K}eCd!>yM?q)
z0+%B?i&NM9{ET=YqN=qI{^&QQNrdt_Ua8f|iMy(YR`(LDkku%~jmUx{CQIbu7=6zm
zJgD1M@|(=uoQlE{d{gcm$t1XnS$_<3X_sQe&TAQN<$!1`ti0n_MZ}wZnYx@FMPHf0
zW%dJ#nM!9e#N^mcv@Vc<-H|DJ=Mryw8~0p!M08H_jtzkxjap*3(IRC)w|9k-v=)jn
zv!$kM6sOIsFWf*4%gn~@ty2mlkj5nr{>s)vd#ReNdb1`E!;$#Jix!?qzLiFeF3~VT
zvH@wI)Pv;y8?(7{J<-md8<AwM9u8!Crnlaq0_s|G^`hk}os}zPc+sARiy*19d*>UW
z)k^HIKohJ3OdQ^(kB`fkJj7_YXw{mTgbdZRX(fAyHjUcRJ79Tz_&`R45M=OVL6Mws
zrf}n_2}{IO5rl3n=q}vjf(!P3@g)<>`rfn+n=Mh-CS9{w*uOIqT9nAxC+dhPVOhYr
z+bBhwnt#wPnB(*9-Q!Z2Pn&o>Y8)WYhgkpc1z24EkwuQ2ztb6kpqTx(JQncr?0aB*
z`(jG9zN-*ZYKr2XE)+;654wCHcV4=<D^lFh>*9gv(wChU-z7TxxZcpE%nUg+_}qe7
zyM~M4^^N(w*hAY7X?3ez0{@rxiiCWCnKlVoDE1;!;|jk(_tFvh%NUJ8v)w)CC3!hq
z%r3(7{(|tSJ)n%Puc;@vVw0Ke*ZOKS-XdMRVpLqSw|;*?<U=_7-L!eH8qwIHf<7eq
z_4YDvP0t~Ct=NDn*fqDD@{;h9zG17~?bYLatDLD1mwFrYrs<?HLcILXhif_iWrnIO
zoVH8BjoU23`cvI^bkL;JVXe4{5MDbgqteCm1@NPlp1~ne>^-=)Z=X^I6*&)PMN^St
zRLJ+73Zs^GeDL<QdYSG1Yxl)WVZVqcFZ=dRxT>xsLur1i4rwk9T3t${Q;}?B;yh?t
zOv^YYiRZr*1r;WDdCrt4@yfk082y<m75VV;l9VCX<2dw*R|22r<~~CjLr85>%9F36
zqt~(}yyc~Vcd`0FouahI2{s+?7TSb=dVU8-$4v)Z{Akm1szSDz@%os{NJYE{#X7U8
z1+7c%od=uqKMSO#FjWV?IyuDyBub4-(#UBCsA1{3aSnM+WR%t-q~!*N9Tm$sWM7?e
zJkOtckZtaj)a1M;DGQqwk*7S$RQm|b;j1-lWGrs}#zDVO$)C)3jTJor(n#-8odeTQ
zLv8`4HVBo^*8%&y`;S$3R*1}WcuWa=n1ZD{aU6V$b*yN@E8eM}%GEdS49TRDQ3i9`
zeUSxhu}KG!N`^^2Q?poyPQjIH(ma4MLhkIcN6%D=>%tz~Wtn{w<t3mkTIn{Q+@%$L
z<nwqJxEYY&SljwMHVPX5*>Y(e!5|YYOp|vRjT)(2MOWABH)4yjaMHhu^TKD2-QGtk
z#OzSpHOwov0mx3)ESVgS^?X>_DpZRJ(kwZu=_r>>dFN3~dL?OM1AMtZGtpvkpA%Dx
zYzc_*y_Gg`Pw|FJ`hL*7+l?%!*jEdo;Zc#cr8Kl28rmf}_eDHu#_mo-q5PJ{pF#^~
zBrH%uK@;JH=F^3alXz%}CBZi}yWqU{ux1(Dg3#cz$oKOT^&bZ_Oy~(8G>82;j^<RK
zPd}KBJ4rK5fjC-}V4W)4WauS{5wXWY5IzeOQ(pH)6&-aWk(hn<xko$AO$Fpu<+?-R
z&3+Czd=%5xu0Vx!O<^PilzbC+-kW%}&k7k){+kq@Z{Tyi&-Tv{kT1U*mF%ju{z%GW
zxMs>MCu_P})FbvkX1{`f;aw`>czQc|vyJBTXW~4IcFiy;MG5B!D~HBtym#lgQ!uW>
z*PU3KN<Ja$y%Q41vP!4Q%Mg9#-J&dofMqzugGOHK{~Sl2-rl5!mr9|U<~;+Ko%yP1
zw0sL)`zI&}P@!0rGj`x*lQva{nA+Y4ZUj0m@eL*$$2?Cx87`|}nPE3pU8AQZoIdyU
zRLw2V$^Pha>ycgmIJ3*si*x9WtW6lxCUJT41P2D~ExFT>0U4w?BHl`=69j(4rCkBU
zZSjT>!larP&dQ}hWCcGP@IgoeLs)VIWAZ8&j8qIw7?}xr+Iy<t++C8EiWJYTqmmjc
zxpmxEh|4^?IEAEJ7KPFkB_W_hFM<y7+MLK42%>!(lprcwu5J9*gIXDO2{$;fc`6{@
zIr$s7_pLOJk2z2zp$)$Dy@Vk{&zvMMmmWbrqTijY&~+dxGOx1_L4B;}ft#x=IRCR$
zR$(EF?Ns_h<+>=hPo>j*wNXNdOuV8g!VX76RNcR##8;}4WCE9OtBRcsZK~_PGNWg@
ze9pjtUk%?7@hPxhR@a|bt%6ve(`Q1V!1ID`n#NmMt}An8&mBpE?YCs~UzeG-zVvzF
zjQ*iusy4m)KsQC4XN!RqRTqvpciI$g+nkTfl4y#85@&i^PF1*!1>Q^Cs;mZ`oN{GS
zMXgeLh`<Fnbek`Eo(VLqPbCTKk32LfEu?Q+YfW}>bR-nRF;xu?s;N)qlhtHcK8s?s
zrxVIMZ7W2>XY(%9SdOGeSrcwA;y)C2h-r5Ku1m?so;|@ytDL&YUDi*cCef$OKN7pz
zPW-O!g4^u=YIaA51lBNf_L}(fBshR@)+`3lmCGVR-PW(>J*6p32<`5sVinpN>Wadz
z3p*EEq9bE2%>TT-d~Pju^G5FGM6d6tN*@^-e2$|~on%a$moh=9)S7uy9ipXh09D(_
z@!|1I*^+<}4Q^f%$@t#_3C!ak1t!7Lg`2O_agk@|Dvz=Wdxj6pUQB@%9y`Co8I97Z
zEpx5PkgZ{DQQ{xzj$A77*2@Iozra=Nm-Cd)_q+K_*2}yNwP_3o(`(bUUwMO1p<nac
z;#BV}7vP$-wQLn01{x9*&ek}bsc4&f*^Iu*I`O`cU(|7nVP+w;%ZUF#DkevK%9c&+
zd7$pp`5vuOZlWxIdBAT=AM!%ahi}Vl3BNx)?OsRjSL8bv+}m(^5m=q3TzDsR2UMjM
zgHOk}m=F)>aDTGeE)2u;-)SARc$!@(ctrlY<Ky$f(yFWuVMEqgZBOj^$aadxJ#S^o
zYVMLar;mxFe5j?dp8|5BoOk~t1B6zpl|4joaV=BF|Ho$hz65>q5O*4`-@-T<2dafJ
zLrF5;QcrE2$AZ_I&r^T;y;P^LW#^y_qm?J6cy!?RpM>qXPn%(OXxexG?-=x8L7-rC
z>CmD(HFKDI>aPZM;O|+ej42izB+)M+T*`H1%*lof#S`NU<0Hz=*eB;z!?POTs|Haz
zND7VA5R?1#U;R5IvZ7i42QA6b+?{J`=rSgqX40w5!A+p5<;y=vF+&9<m`+J;kuH7*
z5Or9%CsdCANPv2@yIC%hNzF&kzhHPnFd7@wlNde2`ORO8faP~uh3>1Pq9eAUp&r7I
z?K!$_ijUi;h3{2K#KKAJHx35nxPi~mxppa(guo<T_Kl*|QCD&|c{e1AEUggOS0(Wj
zED@WN08#LbWUcstg!^9frvtp1FDC0M4L7|;k}$f02K_2eXxAo3$R*Ip?sEE(OMy~V
z`Ep;Mcrg1)%90O|(^1E9fr)98twqrWxJ5Cq6EIY$6&xDy4w@3hQ_4?*%Px0;@J5rA
zK^0XSvt2C=I0r2S2JqT~NWFN*R6bt`$B8`6W4)+WYju08*)z>ycX05QJ}it78YrWp
z7;)Hkm!LsM-kYa7De#7-Q9;iL^RI=BLf_Ryq?f6R`;ET3ovHKt)^A(&GsLYhZi*$f
zPtfgLb7kik%{~oxrpXg-kPqA&w^sr1qzeMwNBG;Js9P3ZUna$>Q95PX)f?1vQIx^5
z{|0rYNHQK6<}3iYH>DT54PBDkW0-CY>gRmF)trrT#LgQazStprk?dLP`?jRz4k0(f
ztmJ30H4m!n<4&@COh#+Id&<&ZQKn)S=3tRiVpnH0YU$?0*gg8JZNpv&qs7~G06sh^
zb;%^XSq)vLX{5Onby(9X5M>N_c|Dm+slJfKtb=n_d<Vgd8<adE9$hq!@zGR}*>r=~
zWg8&YQ9r3$FBB*w<XdPjaO)oViH)y{wIZ-~Yl<;R0s=ZxDoygeW~<AMS^)*7iMu`)
z)!_GgPncMvd=0;ci5O76XpT>}(M#$%zZv_rU}$Ij;C$n1^@^K|K!x7m3S5+|SOM81
zdkNp;_IXGS;;Kxk-3BG6ScKsf(N;Cv!`bZJ@Smj9kbxU6IE}%(=|F&`vk4|)j)M-L
zA1DKtg@p9^g!5|LJ>-s<Cis!zl5I#|UTD7)h6pd2V+>9(WWqF>!&ip;aJ|nt00_?h
z;gu_|gqJt`?LH)|#xOo=g$-;%-pQm4Uc`oU3HcJ{0=G&Ptu37L9OI0mzQF4B$5W}r
zY5q#W#6lm6mCR1CTNs?}zbUWRhHC7L*=q^4?$6yRg*7!N)@B_V1*lv0Ph4@1N6rl=
zPX^B;FiWob{bu_T?&H6;%oLtYgD(3j#rw!<Ak|%{gI@>&!4T}jyIT<9Ly~&tK}$`o
za};`7`*CnjBIs~K#~z<2tqcU&k9VL8Y^<-j!9Ilm27D{dx`?v6=^)T-hX<*d2Vn(I
zVCvrVKXQI^>8@-)n!)~a=fK#}4ITsE_Qgi;jAbmW_g=7x47)V%(mIdTqNkfi#_iy>
zX9$0aHyXK$U@hzth=~{zV!`EVC0f!wnXBnjBaNYy!EBs@t(R}Ud8f^XoIS+5>yWkw
zh?1CFq8n2!_sWD?zqeJbtxv)#AZDP#Ah@fJF}}RMk11_bvkM&%5JyDeu{x!8Aq&KJ
z2!pmd=)&nCk27KH3|@>bGg<^F1X1rI<z;MLO=bR<vddTVV7~qr3PsmMLy8V0tz9$J
z2%4DYH7LC7<c#}8l~Yx3caJS{6J4vp$Bq#<KvoZv*_`no;D&U_d;baFdALD+Qlb=z
ztrmZJ9DT<9-nCn%3go|l=f+J($<6tp&s%uhZ=19S&WS@#l3~`PoNy%h#7DvDSnd~M
z@muUSUy)u1s#=uzpEouFECgqX@C*)Wo*HD|?qCb0n?7Lk*hG0hCFkB8gb1ovm@OVg
zd^MvCV9G{$(|-fJ9Wl#x8oSVD1F*bNMdP2VdjG+_nRP@+QYH<rpdA1ZpGpOI^x{Vg
zA^S3c7JJAEix@D<5~^~9AE1Y7;Sy7i#Hb-;Tn334E}zPgaT7g>cEZ=p$3(XcU&cjx
zc50XnW?yNCEYBBwIXrn<6wy({DTV7d$gqz`IXQz=Jn(b+d{O4MnwNu+TVea!9#79n
zp8c+}a9^Hgf6!p+wi{uWD`_x7if32=)u27qrMYu2AMEMIetxg>Br}TxL!*^xd%jS>
z-eo&5sspDbv6SWIMp`K2D9~dafLf})kq#71e{<5csDVmXcx@CccZV_nhEYV18KNy!
zUicjO*9-ROci#W5n=1DC<XO$eDTZ*MI@LUMRK?M7z%`opO{IdZn~1f=%6N(bH8^mA
zrB+XP_lFOuBER0zzkXxF@89=J*R>xTAtWY8e358Kqn(uWdj(te<laRJRA$%%59G2W
zrM#Vhg>_t+12Vh%j$*W%_YJ!1WhSfZNsphN!WV616ZkIec@<XX5HCyAHPZ>-8+-jV
zTBxtz)lSgsoJ(uEi2tWk4>nZkwmMwB_1QCt0N&$9i#^i|(y2WzP1Sa#0-9=h)^{Ch
z3D^yKX_7XEd_<jetK);zxkbhNuf{`LL{{DneB$Eqh=^8Lv2ytJMOIKMZ@XQd^#-Q;
zxge(N3uOJj<gQp~?6L=}0{YM&LRSP@<ZhBAhee8yeC+Mx1iNz+frZl8nnpK(<zw;M
z$Y=CLoA*gJ^at#yn~!pZ`{V@U>K>(dp-2XNM0OvB4CYuUFT4w-!rF9iQ2&{A{ORe6
zB^vU#BR^ol;?#NClLl!PD9~O|od346Pye-%`u?0=3IBD&TGU4j{ph}&!f^pKDx$Sv
z&NHl&IN<d?k4aWvZ+K4eJ6|bQTy8dV#F~4dsPBMGXx3BF+7UP<nKg^ehj&h@GnX@^
z;;;|pgGt@3+XvWwSKP&rIZa_)PPj#Sj3CKE;NmD^B<~dgkIIHR6DfjM7<wVtB!~jI
zX@l7nysA-}G!!4pJx$nrz9o`&hM)5#G(;pBEt&CltyjyAiafuID6w{_SHnc%Va^mj
z>J-m8=JRIs0r0siyTh?{GWnzGaR9|t<l(Tr+x%TxkM0lpY@y#ih5X+xqwRoqDGQLy
z9$c*Vcoi8kFdzT)`|De9$;K2O=)W&!Cie6=iVx6uvI%6m<CKy{k$2?EOOV;;(DLlF
z<DBTna2eiFbh**7A3|(xnaE&ADoUCsEav_=iYEQ@xA$y?cmB_r>~Dumi|qSTqhcZ#
zet#Z&QqR1t!Wn_Fgx~+Hg=#3b``D}!Pc(e0*`WY9zfK3Du^WOGIqWcY<T28(gjg51
z9RypeqIq&uP7^{YsKf;vn~-WU0_<5%LHq5|pshO+*NJu%Uw2{m(qR*ZVWX|Rw02hf
zYn2;!P`o(JAZw2YM3EM^Xd?)&6K2!{@iaKmsCtw})5fE#iFH7CI~UU4m%WM875RC(
zE%w@_Gt`HQI=;_5%NMD9JmYa)HYNZU-~yuKTR-Vh9~(tJ5p(~gpLn5#K<>fu+P-~w
z5NO3JAzwXK9fl)ej1}}cmg{DGsokBFmTnwL9K6X54Lk4B;vtyZhks;nvd!geXBrRq
zOsm@4j~atd`(^rE=c}BLY>(#jkQXVosYDD~i2#_eM)c0hDzqPCfYQ~pR<sq+Z*SW}
zVT=u`21zQh&msD;$=B>)qoIfW1vR~UF_Lg=MCn1nz$M>NFTAd6iNxtDX9JA7ZC}I2
z`8<jx?vSB%=Ea3ddEc6)L`8GA#nH^=E62i&1|TryUG1^Xp>dn*omCfDlXEi{+@Z;?
z$l)-`>&64<^j)wao8i)hN^myEjw`C<v~UH78KMqm4i0e@X@Tr!Ry06On24O<8J?e=
z?K0akfNYS{A97!<13;X7kr7}p!0J3LJ-_q*<ry3hn_Vt4=*Cip2+4Im5=rs)+yVC~
zc9Hda9I6B|?3MI@M-j*(EFm^ZnynXe>MlI&@0*C<orSwP3uUPJ=;0*+r=B!Ihgs1z
z5oQ%P{m9-yyK)B<y0$!w=P(zG>>)8qO(hNT;r@CvDJY%~c+rX`VDu3$DX;p9Y0g&H
zaWiyFK4^g;ug_O!hc0DB%5)B)l;kz|Z)2*LWB8%o%w06ZUR!=C^^mUtM)ES}-x*}0
zFOEI`6NzzRmi!T$^fVdW@d#OdhHWzXxzGoSu!uEI8CvM9V-)wr9nSAw<A9?|OWr@m
z(M@b9T$b0_&78xx`KfgOg=-zSFY?ux;tWVGMBsz$=^N+m(8t<TcrlkDPTz8Sbpwtg
zJ`i7KgI9lL{&vR7^^W$qEZ?;=1bU!CV=S0e)}AMZMo&Pk_DR^Im6!lwP8~S6t#*3l
zq?M^><?v=>s5R(%$roCCJXU2*c8^GlbjCR*Cp&!&N^P5Yz8$q_c2LD_JuIQb5^?-a
z@HybOMAg07^c}6Rd5!I0e5d`#d@Zvf-)`~R2##>0B-?@Kq45*so3zt`BM}|#TKycM
zTJcq~g*kpHU8!sL2}t|$bbLn)M6J?9yJIOKrSMp$Y8qKw3NFdm*)T(p`t1_RG}pv*
z)w4Ss)-rNVWZMEAB^^e}F7!c;>*{aG)Rs}_2lAUNt;<zIM)vlmxYLaq8rMs;vl+tO
zi`zZMoW4>L9kGc8MecHgo5&$u!Vt2@c?T7JLfegw#@dcwBHxHe+r=qP3OF_7PM++z
zUp*LX+g?Lcr~&z7jW!xT2+544nN5%fbE5kZ#4J0_VTSkm<{@Lx_-It=HR7ozlVM$D
z14N~adPBcgfga{vwhrBR7@VNDDjvs_w(8+#k?Wj__`^FHB4>1K*Yfs4LtIGkA!u9B
z{FxELOqI>*ZA`v6o+Q{9xb$KLE}6OCD1rCEBCDn~yK(wP#81cVMD8bx(p~9yI5@C8
zxH6BfMEXj#%c5^UV8Vyw5o@C29yPA550gmHBO?BdF=<mFEJ-x;lx3XL&?#dR=ph^G
zM7V;$?UM*zuef_(1<Cha9|yOeK9rIoszncpl{Lw*+go7wm}%ih<NzDn9q@K`y1g>9
zUz3H#TkS~WWEGzA%whMX;ehN{>>op6LTau?FWyqDOvrW#?a+y8yCSBXpzFjg`8-b5
zXF9x@X#Fd_`l-W0I3W`wMWtt@fSMb5_FsnN@H@m8<Fz~26LnL_+sCc@d=lb@s9K5B
z$HVWi)twdZrr*n4VyES1T@(V73Y(g>tUO9Y-7yrAr{<G9&V&rOl~oj2=)g|k980l%
z`<%+2jPyx9GZLX@9k}<}jHjjz)*tJ9P8yAU{kDCyaNX?FtOW1Hj&`d9?TUZI7-p~#
zWBUpQDR(KAJKw2oV8|44+~Df9yfouHIp2BUWLI}n!I-!Z4Sg*G`xe$$$iX#~+s!|#
z7|ukOLob@a)TdZGYUtQ54<YI6pSK{<UyH$UuP?`i^eoCC2s;i6IUpq<@6}n0q1||k
zEcx*QUM`0cut!tDs)?*Z1-@^ql06kPa4+db)KkXPxaw=o&M8ntY3X<=&^S%X&p2V_
zc#>=G!*$jCT{&$dE_p7)L4Bf5wR-9bb4jm>TI0W)QEEe7P@;%XeWnmFIsx~Ggm+=`
zJ2M|S=2^38;(9{Bx$2T_fr_q7q5aqFO_HPc{K?uY_EsJSYawYPpx4W%oRQnp1s1tN
z(Me)b{xi0QKo3_@>*bLqG&6;}-GUUMTK0*>gX6FwAC$eh#CtJ13fQCeO3fpWZLT!Y
zzSC#dZQpm^=ETNC*h)s~-peEn2g&c^72rud=w?2}SI&vlB1z{M)6woSRdOdZS1oQ8
zI2P@18#ed-=I)s1E7%S`0*w%n4+dD2!(WCM`Vw&kem4~zoWJ6xmbd1J*QC)d9j_SD
zMX0QzREQ7OG02LLr#LZU;9ej5QnThGYtpQxIaAnyuPN)Oc#bjnhKjWZTt41_&~RE`
z_ZrY*5QYgYnUd;vY-kTZNd5+E9MU}T+q(GUxR_CYBw%lI-bz@yw+&5*`aH<2wn3%=
zMfc8AstWKSW;S=XogD3v9jO7zSK<33+2<s`m1A8Z!VTf2_Ax6)KgURqNC<MB^|eGK
zwA@Gbc=jXY51-(JaE<v9K{fQ6H<+LkK}m`IH10_H^k172D`)!BQqr3F!2o&iQhVeg
z8}XY$);^<%P72U5diS>=64K50pg0dkT5bzegdL7IxWR-uuy&%EgOvH4)b&C%uvQr?
z40h39$%?H#Q*XG*lVj(Ks>K3iBd<LS<v4nJ!m4os+Q>nzQJ%#Hff12F$Qe%cH)GLE
zk#KL!p&Zok`@E@+a!d0$Vj56;!`>q?Ket4I^>EuXv=kX(D(n`O^n`@jW+$o0SE;;8
zX_?7o3}qa(Ul!4R1S!JZ4`FuI!_Mr`bG$f*Nj*EKPG14?4*>|MSQhQZcddSaBrBA&
z8nfybmx>;8`dpOhjKP*st@WL5-M+i#vffe}w@k>IOi4L7{1JMX_C}<i$+JXIg;KB>
zCMZnkALLQymng)ICxw7{YKbi`DJj$FH$(fPJazM|JE7D#wJB&MV?QuH8?{-MRP{-h
zV4bULbDgY9C_N?ktP$h>oU^fKUOVUHp@{PRr})5_b5<avXfk(?RT;GXkKq1a{0qbh
zMZGEjEAFsInS;65vAjhxLS2$BfZi(&9LT|BGF;N;QP_~I&YGNCv0e&?eALuD+&Lq=
z7vQTU1z8q7#ONDU7f(z4*}=P9>mZ+9hE3cgw-`y66r(PCRjyqUDM2P2uC8`1!Pl6b
z>wBrw<uy``G++|4yPk@>>+6(QwZufioB_Ex+VM_QC4%h22LZFzo^mf<TKv@%9;NeZ
z*>msot|(gHAmTy(6raJ5dYD+D2-FWA<^``>m7Jbp3?@nz*1zQNEY1!IC{M?pICSXO
zP#oP+lEx2e<=p5@f~)C8)DcC=di%lF8C4&ub}Ee%t5wzXIoQ5zCh+f)_UkvVox@fU
ztmv8jQ1JhJ{o-MI*26xr98nO#thNMHlLued%O~aOw->#GtYv#*%Y!gPTiQ1ePB~WR
zHd_ScQ1bs~b%W&37{SRw0`C{e7=z=fy{SG|0>=~1N#nGo%${dDf}+I@-2m1Reyt8l
z_9$?PS3+jAQnSXsW#Zp`9=Bse8BATiEt!j!(i(M}r``<8n>6jw$f6XWmDdK!SDEhv
zQ!z<;1BU|i<hYe`nBD_x*;hCdYw*KmUf%Yts~6(Z)UrK{m`)*1Yi!1aM1Zhd=5|Gf
zj|KWUtB-ONd0{p0Ksd}tTZ?NJGPA^ZnSa8CUVAQd3B=>(oUIJ_I<+)U4FuyBGzxg=
zQ6CqNPq9O>a~qWms(ib-7)kmN8dUqMjKfF(iQGOIBnHd=fMZrR%B_{uhucq3wX!&u
zs?{i}ikF2hCNC?%D>lh&92#MvlU}bdKf_4xe4>u0;o)es%j+kF%u6cmt_XBq@|RWd
z*4v{lSyhfEzhexFq!f2<L^H<=411TsIx||;U*1w%?x$;+G&gmLVEWNa2Wps4xNAhK
zNmJXSTlX8!kjBX|!n`O$H{h&fQv=ERM&Z_bJ}ysniRoj4?QlK}S~7pP1)p^oj{9ee
zWDU(<K%Tnk5UMQ7e1r;83t}U5v3n0$*Q`5>VX;Pi6Z%7jd-Q5>dOY#Sq{$c5Wx?{)
zOUu13#`G}RFvoVL7&28<FxKAGRE2dwg&)a;x<0;ZZ9edLd*PKd=w>{Epl%gt?^`v2
zVv^Bh0*Ll-V|i&XJlKx*8Pg?>9oieg%wj%&Pla$;G`k4B#bmrVQE?6EjE@q9bmRD7
zG~AkE)|EsMO@`hBevKzQFOgeY@!!%2wQ5$ENHQp_xyDltK0>F9SsL>%4|+$?2lUmT
zxZK-&$`YZeScH*<9-q|MKeLK+JC6o7oaLgma8~88pwB7EcJT@uN~72OAZhV9pBmS$
zN7-0!7^Q)Gi9*PA;65IY0uQkaZJ+FIqNhNyor=$2%$jx?jad>A7w}eL2NDiMzaXJ7
zD}_o?uWU~i^^TkeuH1SKwe9Zuqf&1tqDX-1tQXS4+p(2wk0&>nEN)|(rP6rW`D6rx
zw-T#?V4BvnTd1Bof_zj{C5+_u8t^bo;b^g{(ObnJ;vA?dXIi2R-uGSw?fi<ojiE-a
zNE5a`9--;=Pf?cvkPx3lZImL2k6G{V1CQX(ZLakS8t2Be_PVwxVJ?_qws?<#pLusn
zIdHVVQrTIrz#IbVu)1l>r8F3lpXaZ{d8CYa<4};%{swWTV$e?!TpX@7tk42uWbZxR
zJ;!oALv25${f*#x@$QX5S!kTjimX`~3@6c4_d?vP#mj3CkT>x6Z^$DiuMkhWCTF*c
zHk0TnL5ae!>k1r#hSoDV7dV%+6lvQ~RK|L`GaMPP8*GXYO0Qo>hTyrvuO%qw4eXci
zo;vvjePHt<P=zvKBVdBl;`JX8E?n)!ujmMhTSjc}5~3O+YVS&0Z|VN)xYX0^ICyrP
zM1L)zzc{<?@2+b@dC7Zn{NfAEf9nD-MQ@<`Cl-l|MTJxn6Op1Mv+#oHsVAu?8j<{7
zdKaEc!v7!^tV-UAciem&J(KY=rC?0TRj5IrL^6cazaUmQokhei5ghceup-9`c?&5{
zMc+0aeC+Zy;L&N8xL}j4^)mL#LHL1kPTaO#Z>~|OBo4Q``yqEN!k8h+eC_q)a-9$Q
z`W`0_Cl(k1KI%Ox_Rnb7>f<r~{L0$3ohBzEb~1mbXB6%PI&NQJ)g6)+p5?&7xYsgR
zd~R{(<5)OW0`@|Ri@3dxUh6skJ1KK!nS%yzLFBoc572`}BL3*)zwQ~;)*>~nNz}sj
zEe;5tjBDuU+cMD_VpHL@MVWdygn6anns~1|z)bH$wtr8ZXN8J8$p#N@Yecv#3*EaL
z&+522FLdqlg(5kUOpr2nYQdPO=D6H>hY+m03}C<SkrT1&azo21cPV?s3vrvT?1@Qc
z3(uAZCVasSJ%;c;aFqsp%MI25`nq7Gsvf?uK9M}#$nByvgiL(ajcGC!uu*`Iy4SKL
zk?e9;J06xDs9WjUtX4DZLC~dN>`04NAd&~S?Hl&->%#L*8u-1_6j@<?ZbpYh0*$EH
zlugSfXo_;dBcwD57PrSsf6U&ag9^Sy+)Wp<WwlonkLo=!MxtwATxDHb8JS=CKhN3N
zxI41de)+!Hss*v~=Q^L-QTg#Etr0F$kIgq`n`t38S@3@zc)KFHd5hQ$b6JDbIsL>g
znf@Okkf;*Ax`48Kx=F4tk%WR6Mx8qK4*fZE#)YOTWC|!tDlb+<SXf_S48Tmgu!{h|
z$ua`l?z<28+vllUuI0%oDVn)oB^)5W5&Kt@&O?^Ccs_PXj;+wv?a<&8!Vcw}!&;e%
zWh*b=#kMkOuVx-w!`t}uruC=;;V*$#I+a%q87#*>^V2imvUb^(o}C53*Fv@4HOy-Q
z+*62D3WHbUb<$abGl3=#NleLEx>p||3pfXyrwz?tc|XgoiCY2oiD{9Fr1ldZ8a2n3
zaOHvjB>LNrpVGT92v?h^F|ACZEU6@Qtu74BtRNTQKCj-mA{gF>fcQCzrfQN#-&~_B
zpb<2?)I5W{=a-Ml)+Y|&b;vph-_no()3M0<?D_`wZyaF<<+<QHDQ|j^!}Gd<i}zQ`
zFmi7o))KB6Fz|&m!1$|og<ZRaLO+!;GO`h(AX=I)dSUD6IuROXKQaI-ko7|Wo{&P9
zt4idLsKV|wfpOBl@PU+o*^E9a*fL^9mkSG?S}ad7oEVyDxEZ-l!-or`sS9he>*Ito
z)WH&0%kA9>n$M7uVQ=hKKN(=4XT<-cHtg>FS~E)TUs!Pbx26@HG@-FjJhi<L>AD}6
zw>$%A<wxAQo#`8nN#yV_D6aYx1*H~ryZKo$i%rRDe1lvFHB_%}RdPszU5`EEr0r5i
zbTYVn6;_@w7kVwqBfc>QYf2VhI#lgHnY03tU$c4fK`o%Tk+U-7fiKHIf*(8WQ2K(6
zNPJ{(G;ij6u87qlJ~s<LVa`~>@Fiwx9y6;Khri7aqgI*nmdEDJJGHIy$+sd}mcvH4
zz|FUzdxVv<?+lR&Fw7TbLUx_42*w;7*rab+{>?pq2qF(mO}!gv#*Tb!-Gj-phITV-
z=Md~YeUvT()@rexs-a4wek}=PhyjVv(uk1_#bXTJ<p`N<>YM4|GmIKVlX;x;J0lye
z9~y@f!VA|>?S0KtO((H&&D2wY(o9f3sa=X=k&53Uf{eEu4K<@li~!H(#j}Z83F;3;
z4{CJG8)qm*Hig|ZBctAwWR@%>s@AkJ$MHt0$v5AkPK4G(TW`#*^N7Av+0K#^Sa!^T
z>SVX2%ejiFtbI--p!-w>sj<Dj6p<&q9eI&NN1w@&m+o~XQj7j)7SUODTbiap1YmjP
z25GfQqIu%001yJ_V(l?U_+0Yp!LoGivABROU!>pwCg(-<Qi=X5P~IR;xia8}8KWCs
zFsae;5WFG&)t?($fVc8WD4tTr^F9{=6@h1n751Ai85f!o)Er;-`(&wMjZKGC-4XoN
zdA@K@k@ok-ZUlMif-)g5g!XODaCwAb&ANvBPZcH<cNc+<iUbw{SU$9<r{Ckzc3KbA
z{f$&*K0$?jjgj(S4c`A?>>Q#q0opVg+w7Pf+qP}n9ox2T+qT`YZ989VPp@X?ocR}X
zYFF!8RK4{)_uhle_+IlhkYl*Kl1bIkmRkFink_P>*{0?Clx}lru{Pl`_8YE^RC#ua
z#RSJ{KB$%7whjy}3SgKyZrO@v^+NL&VX%k`o_{MoPmZZNj**6#<@W~xHGGN;o{^-<
zw(W{+qQS;ph7jsfydZ>lPT#%5xkPC$jFCcSuUfc)^K&sud3Y19@TEPjem!bXo0+&b
zAk#-qo)KJ@@+@tJYED1vGU=YxgI%g*5Cm#BV7I|%<_^8YDN#qLv+1Kl{_znW6`Wh8
zis(~&rm7XUQNKQJ^2WsmAZEwlXHHIkY*FxR*LhURTIvI&rgK!K6by>2FL3H6J~wX-
zjx{?b)1-Qxq58N>9<bSj+cc-=LeU%>9GN7rG@*fe>7yGcp67wp&`xJP!~g)TUM4+(
z63%Qw?x`o5cQX4H*XE7sibF9gGahcLqVWhes+Z1VT#zcw6Ka9ag$K9$wMXQY(u4}B
zug6XV<Sb#xXfR{8nsPHd>8DF1>?(60eTn7!PGKB)r-!2YJTMwSGsMZ%;JKoc?Uyei
zcATyr&C125D;GV7j&+!?2mqopIb2UXNU3I@d9z{c45^;TeMlx$M;9?S9Od5~*R<mz
zc>(@Ph}}9N4LKxTE4*HaixV>m^as+?(PZ)e7T{SK{u6|im5uFx3h*4v9RF?k{@?v~
zP8LSy|2Ks7pYU773WrUG1b%^#LE>d@JH|O^0gizI?%#4QV*!y0qu9m+S&)#BkP0i7
z2!kTXb=q;7`S||P+HHH*^18Xa{_w5+Ff3eMIZSMEX@H>Y5ZKr0-V$K+?+&G-C-|p!
zK7{~ztItS(9I%Hvqi1AGB7!<Wa1Dt3niRl?Xbj{ZL#y6Hbj7Aq@Xv$<>z_p2Lq|D8
z#{dNZ_7=!L^MlhhFaiRnmanH32*Sxf0RitYW*+Zq_Z;efMz{@Q`FR7c->3(67ZnZR
z{IQ1|;|ek`z@erP7=pP5a`YXuFa`%c>sa#_w7>a*8KBw+3hRozyLI>QaM0%La_Z^_
zl&o<8>lw6z3Sb@~1bPHo1NY%TSZHwueFLI#vY_*CfLwo+Yfp_JUm61gfDl2T)*!%K
z{BCdkHv$d(!;XM>RbBj3siEG>8s76Dvi<waK=+PMzPPvacltmB3j8><*Vo!Py0ip)
z1{A#f@qU4TSWs3t4I$gh`J*pAw-uldZyyirPAtN}H8lD%ycRi9`zKZ-^j{PV^ldn`
z1qA5sUvFLi<E>(N_=b6;Hxe(Y?fhNG0t@Lf{;8D*h67#aiQdjSolSBH>~t6O`2le?
zD6iSRA+zSy@qo)WU`LFv9MmU6BnJ4IJQH#VAVGn_M8N<F*a9I9js%>#x%=3u&k;!N
z>>h+6eER6>>HxbU%KCo}xaNl;w$^o}kV655dH8?&{M5YK1y4`H)`M^M1FsNzF`#|q
zogo^<Z|A-4-x?Z#?Qz})cy$Bq-JIU=H$i%?cM1^g{G|Ul^zu+qVT(zL;rh9Lw#muO
zfCJwiA7BF6-$CDlh=_^+4F(GM|M-c|w}Skrg5MITtCr`$3Ovpl5tKgW1@iuI`K|Q1
z2EpI%Hn8a8OTdEEe-GVZ3JB&;4@JHFWSsl8fBqnUx+VYMjQ+F{{zim4LS(%pc>jsp
zn81R&`<~njXu`jR{I+W6u?BwhlZ_GZyRL>9!vO4m_GziMFAw3530)ES#UTS~!NmNn
zTL$cL!uZGU%eMAj5(WDe;#;G*UtelK_71>7e#BquHQD44+5Z)<Nq!Up@G(yNl&OSl
zbgcdCe&yvO^}|3k-H$-<Aw|e5Ani?l)JL`w4in%)+}aE4?jh3ohdqA+yV5ZLcFCzo
zq4pBKXx~AhA3)tzegr{)@LT#4ppg2DzSvRFA#OFkf<%CLR(=Q-f#Rlj!(Regc=G)Q
z!f>B|0ujOef4~Wd1-}Ej5hef8SrH3#zQGB+xBqQ=^Zxk%uoB}S{sQbLz6K2=K71g4
zABuqlAQ9pK-moxn?ifZl>YuADH7)6DYZ%8VOKFQ%t#x`I>Jj2_yr)!JE34zt*Fvl>
z=EMi<a3ZTunP8p!ykE307)i91oi}{nx3x&m<*Zu_XMM;n3H-X~wO7T1o`R+I%{Fh+
zvhob;Q7vH|%dnMmv%;WyU4idX)a#fEYwMgHNR7;-&AX(|ux4z|N!7Cj0a1G|i!yI3
z>-rSAM*STY_znEu0fgy%ed(Ur+`jT<slx$Ren_MGM^>E^n0{Y>%`0^BW_zL%6Bd#K
zA)Y?(#=x5Dw&XIg->U5#=3%T!zhE^-&oUpV^~MmYW>ZVA(XC&GvorqaM5iPMLZ*m3
znF6G$q#7T*-c8^F00jEWYDksjgS0Ex*;?a!UbNx%Ir((4XKF99wmGv1WYm9Z7`=*X
zLH}6d;WdjhBtmeu#bWVS+E4oKvBi47{q>(-xJ8i^ZldTdA(oXEpX>Bdt5LtbPUQQV
zQy<R1cx=d=HAz0bhTsl9`p0E0mG(P*F7K*gF5z^fQWh2tKaz8?vaAI`fP9i}?6k&?
zgPq5)bgtwGU8;`m#`uP?$p(gP+NkltZJnyjY2~8_RF(Jkz$YpNEqJY0M)D-k6t-zl
zr9<DX%2Fg)72%sq<gE^)r4oqOR*3%HZ4g7t##Z&_!TYlJG*KG^Pu`<zSxqA8Uk>gj
zW}BXuQsK{>h{G&q!>qX>>Ol4SsZPP$zUe}7m00VslV>p?Vk&nQOK=KdIxW-YhUriV
zBbnpDYsgcpT67yV+G_e&sKCMBMkpP|Ln(V?!&~4BV=uBn%a51bUY+uB`4XGNsW#V$
z0pu|dKG#}xEL|*NoXv4x;{2l6kG>0;y|gD~zak4{+0v`$2Vy0)xrKuM;Ch5^DR&GP
zR<Q1W-9Kl^0_)oW1J`S}F~^G3LR^6B;Hts-n0$~UySRmirpMUfdD&BTk_Dd~99hF1
zq_I8T@#MAO9(+9e*fe3vtC-5$TKA+^W|=u#BgXh0nrYPM^}Uem2xSz%r)oOaxaO$u
zxw*n!?)>LQal6Su!mQ__eGGUsyuDLia^~j_m3~#TD;j>lu_>W{iu}mx+>-rJ07=%D
z(^oni3sUUE)K8{Jk?p%s7PaXU?I*oeY=fc5JrS2N;}6`st?(6$FZ(B4+XwuBZRhQ3
z+yYl!#yAtWf~Txk+4{oGj-!Go_vK?FQWQ+hbOnqtnnr|m1BFR}3{MF&1O`4LySa`N
zAZC*;WBjT#LFPabk#w`K?cSCr(MO%zuy<X>G9tmAPAZjXtOr)^7%Ju~KQy*{5dD&F
z>zm8h<e=`uX3N(=nkE0@fzBJ#$X@tDSl@C41v=@Qa@tnB&G9(x_1Gw|Mc_`RqpMFD
zq6a<=>LM9yuL+b(C;XgxsWbjUb4Ot^q9$qDbP~%;7vrrP6Sk-(n>1*Iuv7dVv-3p}
zH)M~q;<Achy0Zf!ZJK;|3bg-u#pqxdDV3#mc`8v0`CtjU{i25^(5E=wA?CY^H;0ZY
zL@FMCA&JRh+g7+(IA}Q^^pEFQ7e~z7Jv5(}QB97hZKC~`-acAnmRQ|gvH;sT#uD+H
zIJL*0&=u0blS{b_&flk&2ghvgYni%rYw~v|hsk-)Jzia0H)$C>+rl`ex6eCf&5k7o
zkbdRAnDE+DiCNC$iGsgzqwIW3_ML2rX>-mi%LX(@xQcZ*<07W*^Raf{#4oKi*`^Oi
z6Q{1!)^;bxXO<4Uw)Dd^=g?x8$od3dViEt<0v?v(DZ^1OYG$$I(xl~)Tvd9C2jR%#
z;IO@?)8wA2W+F-7pLtQQzpStffpIguNEdj4SB}W9wi3s7fs33|Ig=1*YLAm}aKlw*
z6^(zwwa(K>L?)O&MPOKr&WTQ9pyA(?J0bv6v>>CkPW3J#TUVKcP$_Km16u)vi;^cA
zvqq%8QF8c3wy}%{eRE^SWK@e>4IrKRBZ(D%y1c?NR*x_bOOQdO8;Fo~=gCaBrxNT@
z{tQ*4$kU?ZE9^^BTBAs;>M9gipnfVaq6afJna&AtO;$V(+a-TlSy=y~a`1>o-%hn+
z;S(({#lJp1eVjr+8;+1~eg6ge)vLqBTp)4o7R{|%$GZ{Y5v-myW+7ml$ukm7lTlm&
z<t$<`)1CZw^(XLpc+<f;iXpR4C{(vztU~M6cfa&kbxy9AGjvT~YM#fq$g+8%-%Ozw
z2DiX5M?~@^(~xwLBFvL|pY)!<djfH(%W6Nfkq0H}yA72am2VVUgtJ6GXK$|zJPyAM
z!prd(p>amUa+)Q&63u$CfEQs#<qY+Na)hZv^kZJGFG`qD`r^bx7Sk;U`(e07MN0vg
zy6Qblsim6MA@l6gzKx;Zj;ErDM27WpQ^*9N30DDeq4=LaW|Z5(xLE8}tntOnutW>W
zsVoy;v!D93IcrZ2IGWVbQ;wcc!C)?@?YVAERBE_mmGci>Q3XM3rm)Yw7_obWSvx5R
zRGq6<a>HD!o8EN1CntK{se>_}zgS%of0ry`jc*C%u=$s7Z4msq3+NrWiH@{Sq_1st
zVm`=}|3ara!ng_?|K3Om`WW0nHp+x7a`9ItkCuFhx<em0jXUkhs7TqF^ODqQ|2I(~
zP-~-fu#(yTP)e?jFdqXcU|$(eS;*}fCd)L&wLJgAQ62UXn(~N-%-~1;ZQo6B!`P0Z
z6RTb%R3S8rTh;NzuIvy$Lqh4AJ{e9d+FI)5WBJ~gqFX4^C03f3nWU}*d5+TiTTJ9V
zV<GDW+51+hIkTlI<CAX*%(Zv+AImBKq@i}Ho8O?o(<$KH`i|sB4RZc&+*Z~;BXy`f
z6VRU(-RVmC@DeA=>r{r)vtGfdsgkolt(;=inh7U<P83qNR94<r<BaUV`?%lM`iR%b
zF;>R}TEv9C7Wcpq$jvU=_AvHD^?_y`k#pi%o>+rbWd|1rNh~$J{|Dq7Auzw#6n&aP
zqfRQs61hwbwG?U668U(81GzXqmW~*e8^9-|Y!zn|0Bjf%%vxQN_b_H3RTa|`p;uEd
z{utDD2css=*rS;;3sBF{ydKF<v{KR;7_umKs0~H~fASQBUF)7$u?@-c8T+8Z*IH|P
zAqwVxE>hi)p`=IlciilmX{Hm|X$H_|ef6#m)f~Qow~@6<R~rJ1IMwMKT2mFl!5gvJ
zH&zTAkagzTBon$+?VC-QLqiMCe8YJk=FrMHdIAl|r?uu%-2-){k);`s>qZ22_d^|_
z57sF+#B2say?JFh2hXVTGUof_g~u2NH>#22o=SWKKg#weP5zZ;_kr7Ex=k<Bx?K#+
zyzOihO2Q2~B514#CT$(j>a-vbaOhOg@2V)r4a=Jgt-L=oQ*aaor=lt^c`;h$F+d(z
z2tM;Nj?^7k)@CF!HfeBr(JuVpR9LRUoDjZ=iAqhVA@%bEL4dWKUC@;~0u>6~mJE<N
z2e_ZFzU!TbshWjDYqjslBLkm%RIKpB6GWc8@A|v3xOPoLjFqTFJyZ1ehU>M?e{WxH
zG^zRVXD&Qg!SBS&iZ!i?+6};3<XyCcEWcxHZyb=>*_X;pWT!h!v68tAkI|#NHfIY*
zc+a~AbV5R;<jlqz=h-v)LF=uRlveo)F6$?}x;!`m*LCW+tiKvVv`lLqg%aqNx$%xp
zv(z3P2`nfAK`*2`v~L&}7Ml;2UckuLz$niGT2(!w@+9QB2fZ{xMTXrqj8&bIADl25
z7~?~6f{h^NC`j}VC4(K0R#W@wfYdd^vpGli<P#O20#t1ZbF}$*D+$i#cb?b>!v!WX
zb4D_28|VLk{DQbPTRC`^9BX#axiH!_qW6%P#H13}iKsbQz()?Z@jemNLG0$j+G>^=
zWB^F<nyIOXjKineHWL;1=XDSdr0B~KxRcQ6Oqy~s%!aF}7VLKfc8E8LpQvNb0CsS=
zL$xVQWOl7)fm-n5ymJpko3Sw9OyQey;^f^jTnoCq?T~$MCqfYYgpDd{&|rU8o{R(O
zu>-@{kP49~wk+ay9abN37S#lP=bppuvtFCT8QU#dO2DkiM}1@!mZ!DgOI3O0;g-rD
zY{-ll@cIZt<b5F~w=uVo3jGbPiYi)3XRBXzrX`P(6jSMb4QP~C&mRFN8SRE2vjN$k
zE8a6_+19$(G0ANFZIxJf^c<KNCUz1&kF4e_V()YFB@}B!Xyft%q7$4wr_cOiEyk*6
z$N^BjzdW01j3(}sd*2g@BuX}Y%r7(h9*dD8&GFHde29D>_70lqG=Q#lBQX3_GwBcb
z;`7w%dO8Zgdu;vHLt{pwq%VAdRV)=P8s*ik^trtA0?%`97j0c1bl2*xd;;dwlO%Fc
z?qRQO&H$&)Ub&Mu-Dh{s35_sLX2Pz1Ush-wKeAl96KnTRL)Oj<BT?jd4Q>B<M@9XX
zka&tZ<O`(x*hJv86`W45Ap=AAemE;5Y~&bmXi->X_Ss4h#bj*e^0-gGIS>rJf*s_%
z0h%wX1LQJbku$0t#xrZIz?G}OBM%L|u<!)bL*AFNp>&NmN_j8XS>d?!t@8KW;*s_h
zJ>y!aB+R}CXGd@|rHC1fo0u$!KkfSxQA$z6ag9$E_m@@L+(MChaIac?LgfrZ&Fe=0
z-gM1My}SR95u+gUd`gXq#uVXlk>O`TvlS25#|mQl*%(rgHs)-hK4S;2h>N^Sx;Lp8
zRup`EJTGac#B#86$|8N}WnZj_Cl|flN&<6^{!8=mifm$finQhAN7%M+%iaeU!`0(u
zc5u2!9|5?zI<86)4Nq3IUU8-?`X=yF!{x~z+0OpRH%ajh$K(vq!d2~;!zg*hcN%>5
zB&gr;2bkRIt}@ZxCb0HW)4wuS4HA6bd==HDz9lasLpy$AG=pn8v&EUKRxbzm%=$4+
zSzQB*&JjHw1o#v2JVg4W&5<>j+0HVeOQ$Z^d=gjFTvdCrq*n{PCztK`1I-QI22szD
zW#nPPkr`2oKtu=W5k>h}@j}6uMG!EcxWK)UyDrDnZXJEJ$gbUWXro+}16a)}%03F`
z!QlHsy%waMQa;nXWfK=u*&Q_d8^d6R=&GQ;+e_{7`jZSo#8a{{M)kbO!OIQBkGa!6
zl_T;XsDIO`%u0h_T+}Im@(g#c^FQ$IHaB|VV5?;Ro}{mFN1m;bPNxow>kjNi&yKZa
zw%sdpQJR`J5*X4z%!<#Bi<YY{4ki1p{2{a8Ow=0d=p14G8p0)`qmcd0#q$y*AVn_i
zq_&P0jiuG=n2}<VhrdsCj>Bjw$nXlmQNu*__q}3gsNA@6Y?NNvuh@4;LDjfuBG#vb
zLFSBv@+5q^Z35gW;*myoKvABqPU@K!KCmOW{Bn_H2WcqKt$k18d^!+`m9y)XX9D1Z
zz3oPkZm=th9_k4UiMwKd#AEr<>+fovfT+WK*W|U2S47IBUi}T3fz~#^Y4Wc5>zxDp
zT+?s^os}q6ymnFXEtRjK*NrAaQxR(Gj6^9m+5{kfgtGg4uW7t66YF7{gc?Z|J+u4w
z3jlwd#0^RCY3v;e`%QFDTd$>I0p+=U{bB~?>C`UM^Kfh31~6-S0+O8r;E6gGO$~(%
zA0ocJ6?xK?HAR_<5E6e^+zmSp2+_@&c*Ry0c3zsi2)5eoblqo7SfB7VUSz%Ob&J<?
zzs9|$nzr|+kb!h8^stfcdR@vfVe|1R?z}FbEEDQ?^w)VI$?cw<D^F%g-O;eXPBz?f
zoj^Ui@jd3v%yAg&Jfok$@mT`~Y&hrn;VnlwoCo0d_=tViZ206WV9j!0{MB}RLuD=I
zX*D=Wp)-%MAhT?a=}wTFipI2P%-PNpmkZWCo_v5=-sPuLO0ojZ)kn%Pzktxe<l2Re
z2pds1@UX0FLZ(*VwzdAF%z(VKk-_-eVju_<RjZYag3$G<Q7--REv_Wg%yDQH`|K0P
zw2)>b%aZ+iURo|jBE1j2seoB0ZW=<>e0b*bXpGz(SL$dJLc5zXVe<J-guBt(h^&v>
zz-*`i6^#dZ6I(5A2A|7&TcM*w5Z?MvT>Dg>4<na**#3fin>)7O#g=8b?x1GzPxlvE
zk-hH-6(GC>5u@+cu=kHlB1xPVrtLh#_&CbrbrIX<;Q8qbC&M#kAuDi^{i@~&Pc}J3
zFN;n?%wJR@$N8l)|E)DBs<x1BcJMW|R4o!;Tb%jUy7`B+)sa`X3WYLHEv(gNceyVz
z)_-~9b{gXf^(uSm;gD8V+s}7LF94`qAe}4_e#xvAA$c|3)x*oL#eruPJHkjXNIgo~
z>1}31T)~EbTJu&|ml32yFmPi;uEaoG(`*baD?WHM1@Ij;7H$jIXUl(;A&Y3FKMC8C
z>cJPhay|vpnQ;lHIkg-uVo2F<$WPOw3YMdH+CGYUktA2iFZGopZ_La-eLK*IdpLQj
zBr(5w>=KtFD9g(fERTLy&PkR{T~2lFw2SATbIjzl@6f9|H-<1vtvks*@vP9#u)A9F
zs;1Gkg(+m(D?GU1)ARF9i>Z}o>~MdbJ0It&?GY}g8)D@qTcN8L>P}<tjTP%+&GT@O
ziu!NoTZ2ieBId@6c_iU=tlu8KZ-Z|rDM35AMF)*?qBud;&^UsT7+Ongu`J4Vmrujm
zY?Vz^%cnVftVq}S<*<uX<K-i|xFi+Jp%A|X7x6|+%bvPtHe!iv%QVj6YFW0|qCAkj
zc?UES#j1M{y(obrH`xl!^;YR~b7`^#19Hcf4=XXF6jx~V)w52?Lh%Brs3L*Z4bso$
z-rmPn^Tk@FysTO-rtR&VsxO!|cC`3%K*5ZkxPO~+-i@0{*)Z}$v)1Wu6f8Yu#5a>f
z?#LQ<HM%A1N*M}@Xifgvlv1%l%a9*&lAA|;Jo55gcg!79ERwG@Oe?S6pRW?d`V1$o
zU?je<lX>t~O!K=EON|p|UUL08?<7x5L`psIxPKtA4g74NRF<7a0=LYJiQ7HHrI0X&
z{W`<{aetPTvcLb`MtIrOg0nzLi7*wefDpiTL(lZLc=BxhF7LS4+s{^Lb?f^Aw<<ey
z@;;S<jrCo1;m!iZXWomhFVRU?7(N{-m6jyIc*`_H{dYK3TMO}Zd`iS-;>Q6P;!aAS
zjidw5uU{!mPKtRz$J>rTNCG}&7=oSaRf2GHR;RLwrZtwyU2jk@b#Z!H_<&4M^;bCw
zsH}7V`%7rZ;&$ON6~VSh<y+`ZEb1KrW^_*W6ol_M4>i;=!pda--Y?QLL$b4QNzZw1
z!<7^po90A${rnD{BQAN%<p;cU>$EupNsYi(Swm{7;r*2^qwBGu;n*tqKjE#Vh|W;+
zq_FG>iLMeW;*Bxb<%;7X-hYy^kKs=;hqIjb+?M`PPN<D#)TIbeIiJm!J~HwzpyuFh
zC#B;v14mAKle(;Jw<*BpnH){XFwNt~jFzZfT4xO~^HzPsOY&+Ab^i|Xx_9hvx{(iR
zlFm;U9cfc7dCCc(ro2}Da|$hTnxv&fR8vBgz2=j|r<T#o2ps4>D2L7trwVm3?)a0D
z1*AZ0WOQCF>@_8eSFmg)mRl*GjW*qJ>a>lQ4dy_Oc76sQG-@#t>oD%W3%y<QTa|r;
zv<2-*Do4hKG)&y0#VJofaQNBt4xQsx(DT<Roj!K}6b6r{=2ms)6cSl$Ve51TlID-_
zX65>}#B(SBrh}s&aH<_IH>kQWe@*`lf-{GTUxs2aO5bm#7$FZ7R&%#5*Wxi@^NRro
zdv1v-G>)-}w)kI}{cyBLb@3e;PV1nUz6vWS2AyCaEh6lP#aPR>m<H=-5~OsY6-ho{
zl^IUQ`EP#}C}``>dnDPbEfS&9vfF<wn;kS2H%(Ya3xA&WMV2vdlEFttOr;cAdu~=G
zo)Yy+lalg|-|;s8TDFn|jAxBVeKpgFmb6ym6Mi4wB(U;oJI5+S7UQB_KF1KuQa_o2
z0_fE^c_1xtsiac=K-BX2e4QKsT!guyJ3JzYPq5$^P)*Kip16Y~Es%FT8k_L^9STM5
z^o^{<HA9<@i*Ws-f}DwP@=DDnM3ODi<KMCOzP1MN9SNHv^1S*?8;Zrwae{Z~nZG=3
z*)<j9TdKYf3Ojp?1zgz5PrrZHpw6R8YZjHAifQXt0xoOQq0Fe${+VPne2a0Sl1EM@
z9qO6uyTT_648dbiwG9Eo4Hi>A{4!moA{yNXanL)tY8w-)oXl|;)gj~zZ3mmbt#&*M
z9Y`NzY+jhl!+&tqXyD7<|I7skMyF8;w*75TPDbhM_N{q=nK|layE)!Q@9@SYS8Taf
z_{k}p<IHpfa(YoK{|UTD2r{8F$8)uUmZ#+8f|9!qc=&3rG{R+`KsamW-aEQ@p13^d
zqT${vl(zPCso62J|Jb3rjZxQBbkFT0UsI%ud`~a!)a4-jRBFW7%-bA{YJZu>x`w=I
z@{vdBFp4>d-e|<tg*LVn*Oz{+7S=tg@(p@&`@IM;#^pN2v72jCd+TXVLhG*Zd!ZKa
z8*h9ICTTH{1%{k+H^m500)FXhegoKdni#A?O41v~H~xi4-X|CBS|x1gsN{;1YYecy
zr11xq8s+TcwN*SfP5uQL``EqaJTyUp)Vx(!>u;|2*NM)!2A#jjnm{Fc64OJ6-C#!7
zd3h);DmBZ+Lt~Fh;<U2=M^PexeePN_1)L&#kP}%&Yb_s-wdnDWGtOSp4^z~nrF%n)
z7W}hC&+34(;Z*hq5N!kx%XgZRpS+)i;?6;>Pt%OKa#M-p<_kGjC_TFC-4dTZMkf?a
zZ+}>Y%uUUam)3(9U&ji|4@atH1dKUuj879coyg3@^iceYE{;@n!9;R)W4RGkX6)$3
z?_83lVar1;s#}>P4^T}_Z~R)(M5`YEIZUv9@=W+Uy%(sy1`T~5-ET_8Pmc`Tsxe3>
ztNrFn@?V{>s|l%$8#tzs3S%V(cEg^d+M#xkmw1I87i1PD@EK`Q6_PL!2s*J1VluQY
zhG{U;clz%AfL6?}4C+6_i|i!4$iNoiW!~)|J+OmzXTJCYsmyFKu>c3SWW+yddKJ7M
z!DZ~j!ck~l!DC007QHRIE-M~dbr_w+>~hMSp_?CoLwlf4@%MHM9v4t-!~k1~vI7mM
z`_TL)(r@#+@3lR5Ay}B_0JH=P9t=RijQ!3#8Xh_L7kEM;9ws54J83Hw$J?SLUqYug
zpC<*)UQMQ6&8CcS{to6BLH4NWc4D`uBLeW-H|${=`4~gk{ab@6mS!5zeRuMA5YPVC
z$h6q|cWzuDoO1P?{Ac~p2z$F#SP7wT_vDRX9yfX4=o7GxLX1AaqTvA^cQZcR>Como
z-Pc>mSTEmTMdc!TcB7PJ)q>YYjoD;+F{dWfy7U+TEOXdjI0M4;XnJ+z3_j{_{XtaH
zD>_{u0;JouY~ii8E7?1ZHM?1AcO-K`<ZEZccR7Qo`2%ak`Vd|ZZ%QqVvbFxd!`=Mm
z8Su_|E}^SznV49}P~k}|0_|{1*(N<U(ot2FU4;TZ^h3scX}#2}0F|X^GX#~$a0kFn
zQ`09-^*XMy-FqDk2;XbHpl4EmM=V?^G;_8EbPWoR-uRff7DH48pC@1$rh;Jw4o>hm
zB>h%=5_uwAlqV<$D;|6LXR>Nz4!2|hZ)TX9z{$W(N%V_dFMV#bcs!yvE0-H4+McJO
z?lrU?kF0;1wqXonVMl4hLEp`Z>Bhk>+U73IcI{e1&HMez^YxV&Wu~cJNg1I#aW15<
z*2d*nO4F>=+O3RKb&;kVQG#)_iJq|k-S9QF52d4RR(3iDnEaTs3a{DYo+?N%h)uN9
zL?;j-tue1?x*xciu8mdlgK|pWl<*}5vQ4oc2IM9Z*5gRhc`_(7nL9LUUnp+s^JK^f
zVt)%9qIP(ZHL%ml=JlL@TJ)MHv@hy4L&3V~tKg>W3m=QCNY>ShcgMk983stalTksr
z5gAd|2nE6c*!k`FHLW3MFY&W5{_c}$>Al<-dTi$fKZ4#&^+kD2EBtO1V^ff;il_0r
znAnG_N`}g#3tVx5#`|b2e?W6Kw{ZzE<#J8-_UpW!dc=Td|LL0YkSF;_s8WBJo`qN{
zEyFQ#t9CgBIFJFTRiHtuW<)$(or5d7P*Nbzd~14MT--vh+9YfUHcCEHGBLww9GLFU
z`YC6HHOgjwf#BRx$d=A4O49D;#$nQ!@7ozie_JSapgkHY)Z1<%Ru<s-j^;N?q>ua7
z(K#-rOP#V-!<r{zFHf2bR4<c>u>K2|F($bYR{4lk;KeC%Kl*w$t&rsKR=fGwJe<$~
znNlPW{sZ_3khz08s+0Jn1u(puqHGG)6HGGU{#a#>-SSlgo`0#{3o(5XS47>2SY7z9
zrh7vtHzuV87LynM`59BiieTXr;2sE7H0>g>{oBy+mD3Y~2d@k`Tn$=jm_{eZ%k~VF
ztz4L%tyK7BOrN~*z=J*Br_r>$miRe^ZJN>@`>nu_zf4rg_%hQa;kKt?6VGZ{wWrl-
z-He^0fVi&5$NbZ-ddb+2$OM^?lo6Q-#{tmzU8!u4tq5IwNVi?g(<g;%@pv=E;MNvB
znZXA=5;b@K6Al|H^X8)z*b<Xmo7VZzpV`0SChX5}rrCSUjRRr_0?sn$K*!vRV<E#`
zv3c7?^u42sF#!M}H+noss4OD7wEQFJvhtM_cnI@_dW45r`It8bRZ$f8EHau#@haO@
zXM{T40HVL|=;PsaZG5odEw?kNYCGU3gDN;od+W#(<4!2EnR{}6_E@nPR`KYQdr+o1
z*Exfhj}o}?VeOd6Aa?7d6W$LQ(e#-0c%$T6(Boo4ZuTA!H`|k-v8FxSCd?l?`GxX3
z-w}69dl@UK7cosmk@2A&O&;pnHe&0A>zKRlhv%Go=9qLV4b$>AM?vGQ7r$&Pb>+c1
z@P2P5p#mPA?Ua0xG`0a?k<Vx^SeQH8b2z#9ka(z0X>Y#trVSP$Y2Yp<`Cf_RN3*F{
zi)Grrpo5q{$YAZC|4yR<a6q1^Lq8N*1RaZ$x*);Fjqq<<@gc_#u%qX}vA2vEhMLV#
z9c968#rTpRwLv=bxCw^OsqjWuS1EkeuQ6tS$LD$tI#=CUi9$NQ;Eh`oX7Ryanl5f0
zY6`g_X^LxkqgIl4P2yTkq0#L$>5RPp_E&8XZ+j2PtlHe?H#+p~!0N_vQ3$hk618b+
z5V-dPx^1J^{SVnGrvI3oVrBi`*(v7#=nmmzX8ZqVr&_@ka5qqBBfGko1?=72+*bD(
z`U#oayR?Pu-B5Ud1HoUAwrJab4{Srnk)Gx{U4Qjm^kh<*sl8n6Z1<?&1g1&}XQ?h=
z8$l-r`EP4-u5$zfEmUe{e*z&O*s>uY(4lE*;l+3TQ*toF)Zou8!-E0Cenk;p!8F_Z
zwT^4F^FOE%8TcoLk@zR!^pBGdkJAqi0Ph{_A$=kuA5ekCH{610f~u?oNg*-J!H1|}
z9{>(v8e5$F_)hrwf#KAmf#d`QeN%V$fh5WEsmCTj;1pWy+d#Q^^DIpFq2@w00{pM}
zeo_JjhiA68HN$hZCnuw(2ghUJ4=kxi#z1aCIyQlu{cQ!*<?~th)Q5mrVafOMX4Vue
zfVo@=+xT5=!ehG9La32$t?j`yfd_17k?{?z@~QXU?EPB{VFb3ZpuUCG-h>T+KUr~r
z$Z<}0&%YzTQ=q`U@vIF^!5ti1fj<2ETY+%mNs#jC$_7uauVz5%fwX^!wKzHja}Q~G
zXa!<1QfGsAQ?!AONLhg~X5qh=bF)&Y$JV!Frs0oXt3;pm|Kyg@z_zA_a&Q6<T-#Fg
zT_gc_fYjuUUJrern&I^$(bw<l_d|fSw!SR~w}dfw(fv9)09HwUi@LWKdK)!^b%wlk
zw70*7y$A891Ilkp!TYFt<l>v@-<6xuKRHDJ`OGGo0s8kY_Xj4#*?Yi@%*zTPN7}o-
z0EYYLx;gAah9M{K$2K`es0Z5!?5FrK@nZwE`QAI7bOZMQ)pO*ribL(cyL@<|Pcrw=
z6z-4Z`<e6GrSGZ^tnIACe#ndcd6twE><0F&-r53Eqtiq1Cq$(8&l5*Ny4}@ep%L&?
z9k`P(Ctia9LHbk%JS2ZB*PrUY%-*irGJt$@r(qvyHVXg^@nf@}>>by8eh<C<R6p(#
z{rG|Wq#Xa0-u=)@%nZ%nwPo$M{rnuZ+JkVue~P-VREK>ueXA19Y6E@iSMuG?&QyZb
z2;$5AT&g;^x$l5V*4G^F8iRF=2XqIlU=zAgckvs&8Lxh|n8Xq?D1aV7ygyX}X>f9K
ze2>0#YpNm4(uZv}5&L!d&qh7$icbXA5U%vGMMtF}8th+K?gtIt(U8*V>G>0!K2T|a
z_V`)->YsrKZRZaI%H4zoS`*Mw^xdW)An@0{NIOSF@y3|n4c7<iuYG1m*#oY>{EPv6
z0|sFH<eQfs|4U3^X$s=zX}`yXJZN?R`uzsXLl61mlR*2w>6uO+Bx`>HyMbKW{02@V
zw|@e3W*c_;_Wh>+P7EzSy_vq&Y@HT-LH_uL`U}|QqfZ>*4oh)t_0n};m5L=UMY)*E
zIA^+w^9Lm?+s(IZA0mJ<rrZh3on>C8m|UdcS0B@AhDt~Lo)GW*l79+Uq#e(!dHF^(
zi_l8quAzWM1p__&{gFuUF`h84;X>;AMWFlnB!p|gFX%=!kJ0W9Wnh7}zvKQi?&Sxl
zd*wpmY%A*c2$08mDlm$CO0n&BkT{34DKNdJL1qo)rshOJorz#SnL1u(k^6o{Em0z7
zmg*m%zHajsyVR+(Gxt%ibZ+134A)1(K~5ObJBXH9c$4&zS0>JWq4vTITb^Q@Qhh8>
zwsJ%YYRnh;YtV_hb!pCDx)np=WZ!}>eF`6KO|a90fFK~ib(dn5R4X32xg5uk{Bn(9
z<FG&)RO~%q))Y9v)OqpPm+{1*l1Vd745SHB6ld>T?HlP6bCVexHb_`(o~(XH=Kps{
z+pD0s>u|VLqLqK7MLl0|0%;S;*iP11i$~SBq8teJyGo4A5AsCH^~JU`-6I=oK~tNW
zafaFuu1p~z>y?ueZ+ZH|p{LEX5{3bXW%D74Pwf7RQmyPxg^Lve=X@2o6@f0W1BN3Q
z@(e5@&38Etkmx(lZp5CTg&fxA{)g9D`@P94jfZHrF1?%ms&r$;y%2j0y=NhNJ}gn>
z-URGK4zA+~s?W>JC)fL@Tw>rE=?*AEBVwh7Suy3(#>7Ko^JA-U7n#6yqVT~Xb>W^l
z@r`OTJ{BH?au<&+=m{^QFqJSl7|QtXmhhc?s(mBf)$7sap67|Tc2vXf8j=f>1XS|3
zJ)IH4#`BoCbW&AbvqXjP_OBfR6Tzbq>&8|{bLA)T-NrB@maSgsA+GfmUyDgB4z2st
zWw|k#jx!hvPs0zf!ILCxcVH5)#REL#J=7>ec?8U2GO)<j>1HoL$bp%_l|jI@muok1
zdTW;MrXAW9Hl#CB+g<xfe|(dM;;tj=gymX_=IDdSA@I^@+jxX;!+p@Ia6?;qVQy5l
zk^UU`ojo7_9+(sh$%v+*X=ZdLMM5<)e4lL{rs#<vC5P@UNY0cpMShx|nFDgUi@2uF
zgw`gm_}{-69mvNs6V=4~MlntAZ|S9$t$QWboC$_X5MDhAqw(-s;;5ECxlsr5#7m}~
z(SDStR;6dE49y0pG!A`T__!)x0@R7Q`9FfS+oVbjW}k(5kEw`WOtw?gQI<TS0Z`&O
zk_s*sk=UiJbILI6-}gR0p}&e`|6s3?_IolBiCLbLK%bd&bL4TGBB&4Oas1xd4w6x#
z)!_#6<0dZe4j*d<>qH-wC)^Hn?Vgb77_m;!Mi~d`)ez$tHJN-=)n_S47oNA;j{7de
z{2hYS6g*3f-`hK?5)OMc{42{t=uPmdfCSQRYJ9ArV+Y!bXN<+cJWuMii&~^VNhU$I
zJ!_BC`BLiW_-@ml8>ealm&h=BQmNP55$bPsxhX5Q(?*)wUNT{dGN!O7?`i>ig$-Bc
zfdr18mL<|s=8)(nOV&-SbaqObbsyJYzYLA<M+s}oRF%rELYcV>p*8jESkA?ipV^dc
zJXS)4>Aiy>(qjKiSR2z=WY#lntL_TXIaMETROgGc%HpwOXso#NgHo7dU8$KR&{s!5
z;k9--*r~uE)8k%o$I|uvXg~#q#AV9EJx9fbUby)LZ@ZC)!LtBA)kNoXNIrh93t6va
zggxrw5c#K*tLmKny#fQQsEBul5&YYH7(OSYVY3yj<4(u#kjk5pZ#x7c`?l~^uce;6
zAh+~Lh`~oEj^r>?VizWAMSi-FNqM+D`pc<MyfQoPEyCN`mzjEu-j8+gk0!xwGVRC)
z3^g~U4KX$UE0WGazOdbk6Z5wWH*sXj-2@!_63aScagt*DmhhZE04;T-dd6oi_LS+B
zLb`uc_F9ZD7gHm3W@_`pbTPz?cTD-tGM4Tfu6s)z%I9151F(^G_)zEYySL4j!ICxJ
z+qrIAxOSmh(5JA+15039!_rk(ru?3!_iH%=gpyeM^~syR*?4G8+KG{P6Lt=)obp!J
z`)b0p+D~+bVder_IHT~O{Gd@`;;n{<;CU8jlE~50SrZQosR}ux&y^@C?jF=uNY*}v
zZ@a;36Vxi=anj7e-Fn%*`jv48#<VI(n&e{Gzel2xEm9P<bXgj8UVoADAIg@?t$Kpt
zVBeMO+8ana<9Y2F>Nz5ALpEf<y{gWt%>3aLYksB3W;(jQh9K%?nKTT(x_I>!KfwbP
z$C`(U3l6ZjC2d>Qyj+YF*tY*dNCb76jj7qv5v)STuT8V#wt7&mWaPDGR6gKJ#z#(8
zJ0*MZ87M*iLPTs=&)i)5@=B1O5UC_^s#c^CXWHxnw<^fuO*Gzeh9dx=MXd%=WE0C&
zt9y#<6y5FZ@2Sb_sOgXmM|{(KJExr9jT^|Qz&i37>qWlWu)g%{T+xhcKVY^4jCx~I
zKchV29-nv7B9JwV^!!~3cRjAj+dR3}QcK0#rGEW>tcp5ccBXD4wg?F`noUb2PUjRc
z#iCCC#kzp0kFgoawZc68r%oVe*Z0|Sl2L|O!f|OS@6ON@j0vQ%pk3f4d!4F2;G~R7
z>Sg3AUf_?HY1dFn|5R#r1^cC3@XSB&GdAXlC8!;S73qGZP<;j>N6_ymM*Mk@-;g{*
z`D-7es*72`86sq*074E+pNRw1j|U|*iOB1PK&a#D<!3?3p&DQhZt|`%*)F$3gwlZ|
zXEooZ3&rGs2@IDs4UZ8iBAPB-3zK?e#pS5gDSM`+64H{K`xO|W_6;mUyY)iWbuL@I
zcs)s83<IIZP!w)To|Ud*=`7!bN%EgxHzv7swTRurEr&a1hy>oHnw7k6?izkl+^*Fs
z)Vzybj-|iy7gCUlz8Z_(XXH4ouDl$v5QC%$-V`VFTy(f>`LzH1`@iKE?=|l1*>QKC
zRKZiY%l+$Bt{uZ){!*nE`hqx>a+1uB>_ik)OKq9n@{9z@F@83Z8Y(kE>HnJMkf2Q)
z>z_vbxxN@;B1pg%&A;pgEd8N0+tW_&0>kFa-hSk;Um6q&iQcDJ*`<RWT0*BrpCz8Z
z17$2@#+i6za^H8%e5i!JOkS*v;Q3FQDnGly)v4h?3XxKz3hRK`FUAL~xXwMqY{%}>
zIM5Qlbm9_kaa}}X|EMEk74b|ZcdOR@S$yf--=gb!g*EG&^}0aF%XTkbT3BZ0NQPjQ
z@Mnm<m2RZfMA29~COfe*xm1~8BnW~==tzvL+2Sq@uQjI`bzJ|j+;|2^I>4eK)>yyF
zN7bHrB=~w;s%9h36xnq_^utHtvmiQmDI#NaH_n<_5;UrD%Hn>Q2ZU)4EDijMZ33K?
z+5SFv_m)7yzNM5j^zbu!CY+1c>O}Oo=zD9eGZ#@fJ;oblV?zd-l~<{sV{|HFE?@W_
zo*j5ptY1z=ATbK}ZQP6x4M?!?8pZrW(%!i<JALfoA5}S&LGEmy$?*M3UWK4F$M#n>
z77j|!fhJ1uiOY-<+FJZvq38yDr1zJ|sRb@Sf;rmdIwp$dQe8;;`!XtrF9mSgL}HeZ
zSLd=Lt0dkE^$RileL^6fb}gLGu+!>fC?>ZGHU4cluV!1S3_k_Pu3SSR@n9%RNmSJ8
zWkHW)b+Vsi4mTC;XCZZYJzT*c-nV~&pwk5{g46<<o$*nn+_6X6^sCK-XzFsfOme;v
zbvD|9^Zb*v>-n&i7p}`4rph|fRw$ybJ)JKNzxq9Hl%kI%v<Vqckv3SlUb8Fuy1ne*
zt37%w&37ne2Z1*V-xd9lB}?BBPKKc<bT>RRS61%ThVc|Cw)<bMjln}NjO<<?jc^c~
zcBIK92aT+&!Pg`XT9JD02Fq(IX$4PA4Vgkx$_$O<o}p#GhTL1|@NI|?m^Gzd<Yp(o
zXAA>4GT5uR4Rqz+M!eCN7T4|u96OH1S?_vg_0MXC$EOW&^k+N^ceOmuq2k^*;;=>7
z1FbWTpef=8Z?k%X4z-X91!--_u@II!pHRePiIVN}90VveXmw~M!|M1s+Sph**=f{G
zXVT5dm1xv%q6THD>}*)1_p`}WgOI^gKT6%2Vt2GiW}ogd@HJ2XKz%q%$!}0Q3r7O-
zzHX6%gf&%(st}pWDHsy!z@879{0su%^U}0+y(6JV*gaAY`5A|9UiRwOv}U1rGJSXk
z$=oJrfo1LTlSvxUfA4Fd<x8et7jBLjq`qqqQ2V^$$xB$M{=!`QxR4Bj(<GYoXzW^Z
zMPm3WYN+ky8+Zv7H@j9@s@qH+vk%<<j=s6Qm4b0UcMnP;CcVGt<au6Mwjrni?;VT3
z`ekM9-<d_#!5*@}ioFQA4D+^FXV`8{P5oZga^Y@;r@J7bMe#v*7&r9S-2B9x&ES(z
z83!$kKOvZpmRoe5h~7j*#vRZjUgpS#I(ylA&jMv8h!5W!2V8@p(ECMmPv?n{7838h
zcBHb({~#n&$pv?*pv^XAMXT~i{R#U~rn*hyiIA5!u*r1W6B1j81ek`E9fM|o>vq9b
z6w|81Bk0`E&x;-wPzMu+vn+%wn$zR-Rk+Ju#KgFP+YRxs@UH~%cu`W_>At<`J?`C=
zc|g|f`eiLok?nKKB9*EdCTbD!X4C~-Bk>5jNcKJ2F+jR{;^m4tAQtxi)Co#R8PuXq
zo77&aYEmNOR1g03X2zb$=E*`d8lok)P8!(kK2+w?BG8Nkp?Tj9Va17@0K7aLbCdRM
zQ~t??FU*$uZrZS-rd=ZcMbuCdrf-Zm$C|mW6lzw>Up*#``H0McQFd$PYvgdGupH$n
z5HbI&lyG>&DBaF|s(r|byHLw8Ol%VXv#7#J5YU#J_69bFTF12FuP=B14HHxrg$A+P
z4`1O|0~3;pkkT~^#PPJ6RBY=nyrUk>XI{{e9-}(1W$ver9b%L>*1BMi>&qT?v6Ypx
z*VB5gTk$n94(l}aU2h#l7jB9%Sz7>{xIligsA6a23>v69V5T{0Nh3al>jIUeawS-+
z3w0jmHRs$PD*%h4BKdP)PyNQ#Cu#I5HU5wYeoMIc<ZuzPUj0(Gy3q>&-K6h+Uo_QM
z9X`OaHQ<;Kh6n7TnU+G@ZuAt!ex$0bR=ntO0*<R|Yi~_MAPC6sSN?s&7|q&U3d{0P
zh9~3AEa6YUg&T19ArY>aV$_xxCA>Klusr2!*w3%X_G;K-Bb=|4KQDWL)B9iztVv?z
zm*q0COVdYrVP!L3DKL9RnppW7-l%!7n6=4DRTb8re?vrQOd>r|9a6U!;K$OmnQRA5
zVF(6|YEX-&l%})UC!L7<;i63SzK<JPG^lvgAxlnP(k#wm>e4GtuL__kNk^#1AJTrW
zF~HzOHU<>81Y^<#HCliwL%q;=M5hj7EIy_Ui`=<@;O!Zfadfw*l9kfS^S3@*C}gWe
zP|~Gcq3qKVFmdBGzpOX5`Jfl%u8A&c$<pfh;7Cs~E>PgV!BD-SjGOf@jQUvVf|>DB
zf=-zbh}N}W<0I!lZQidoT+AeK7@r0#tES!zm4e<Y_t!WkKu6lfbs2@>tF{1HplfK~
z)_-S*vJ6CKo@&`f6m=msCnF_bI|l{_8FRHe&;8QoBz&*7-_PdU`gk8={Z;aJm4ncZ
zx<KOV*!3%8Yi<ib?lXd)D~5cx2X=5n{RLwzm{2(^*?CN(7LB_(KlS#-^a{#og*hCe
z8Sr{Zz%(l&Bv7R9+HE>@sms!1J(0b*aZJ_AwyQSBK+%(!9|oU(hRmB-n9t<LVah{u
zUGD*-XdcGV^AOEB+8kF=2MQ|-<agAQ<Eq6~X&cOVh>#ZxoiOvw5W3%lN-oElFB`<T
z9*kRULxHA`3$;P7SWmF(wJfhVrr_qPenf#OI=)qOO8CeyF_E{Ny`W2Io&JFps(Ue^
z(@w|Lbw0B7r)Ww!d1;W->Eptwg62Y8p{5=?{zz6jU<o#8sGU8)>z0M0GPQkUKT&+u
z!BGUnnw|R2Ia}=@fn_~drD0O35UK@}ACe7I7K-4sC^&TQ7`)%@iHVLf>jMh0@^3pj
zb0(xzs)n)VjjT&!8P1&NmCX#9e^n?wo%H58XPk-!5SfCg?0PI^BDzbp`XXbIM~AZT
z?wD{7><u(JmxRV%l~=eCmNYij^S!?1MHoe@ixk&#lV5ZDX=Z|?Bby&cBr~3y2ZpyP
z%c?#9G5Q>@W(pU1cs1)08sP6#Ue5#E;Ny#1rA|#(4^CTCZ@flLJ4$yi6G-q({)L3`
zq9|r@8th;3RG3imYxZ|j+rN^nL>AoVep|ALZ2Kj#Ud|~`I$IH?9ma&(joh?T=Zoi#
zO9M(w7S_m9*5vAu|NNVW36Xp*STyD{w+<AoMEE*JFuZV6AA3S25q^McVx-FXjbn#M
z&x+;)=FS(QKS=$F9t`LcYQB#^jb}CKsnIdW+j)ZKGw?aIV6YZKeVDiN{x|qN+<(3I
zyW!(3SDE${vt^vXIu~;GXQg1M2OU*%G-H@FRoovAk`Dc&WTw?%E(CH}i18V`iehGy
z?V4Xx;O1-KOp}@%p$*@?$P8q9Y+*&3AjE3n97OQ`b!`uR^H1gE&_0@t3`yp&b?S#p
zT1|{l#CGf%6di$=M1uYK4Zo@J3Y_>?Pg*e+U6s<ATxTCz{4bA9XPW@Ape;nm!<%p-
z)zdynbt_6O?EF78fUm4rEZFps(1Cmrls-JqI1Fj~*k=xK(uk+OL7WD&#HQ#LJg95j
z`*@x0Pq=EIe@3Y$2I~IC`7zI5YUSkh`7_FmFbQPZBqbaw@Cae{lDiqj^WG}C2?UPZ
zHhn)bFSMPB8Fw8jIVGAY+I?jz@oy2%SRP#IN|6}r-@g!UD1q+^$#u)4+x>Ek)XCG!
z*@pu>CpM1nDHo3gwSb|1nRY!o!F+wUF{QxNhW0a=tYU|2-lK@FJY{9$-Cn))W>SH7
z@^WT`Xe>RkJZP~_$WpWhlb_eZr5{rlNtiUKD4QNdJ@H-f9LwM$ix3(uFSuyDb;-7P
z+~Y6vF@AB#lFL`OF8ul8&a9s!_PDiRo2l<fUA%+Kz}rsKRpm4;Pf(f03iY*_0>q8h
zHyf3c>*g(P#pW4hy$vvHss&jy%IVg#mpw1;9vEwPu6RG!w_clWW<cSiOB^rUO}W?6
zFs$)qW>P)6e^yUll$+;sS<?v}Yhnttk5J~_kQ2)5$0r173t@Q~IqOm1*8m?)FTof+
zbK<3t(vOQRH%}+&jgJ<_oihO+oed4W1pRgAckMM}Z{9Qb0(t0V31ocPSp$8ib0)TY
z85t!ydp&u;((QHpJM|~LicO41e%H#T`0iwK09|oW3;tR$4Ux#Pct{$W!?KXQ4dLkf
zYUC@KO$ZWT^#qGWHkGED<m5X}@?VVIQ;a5YoG#$DZQHipJ#E{zjcMDqZEM<^wr$(C
zzCN>Ov)Mh#UYwgsDs@wpR8{h?dVcSlv^iE)nL#%gGW0>csJFzXcrhrc0hjXFpp1||
z%w2pC0mZ3BVb0PpzbcY)qHUMZAA@eu>%NiFZ3A0t`h9#_<ATY^UKllOSkwz<WW(3P
zvn;baUGwjQ1ZlA?l`9+R?(P^dEqp?Qb|{UMz8t#$YuuIr=oda&0`hiqy?>e4_g<)c
z7715twC%N_WP9gy<Bf|Erb#8iUQGtCJ9e)x10T1S@bWwBG>sjr1W#Td@hyq^Up3i=
z^M9GhJSpHLpLKMGST2pGJPt?=JC;HZ#)O=WYERLZo|z9>-7;qQ2)CKv?V=DxWp8v8
zx?&txgZmNXVSyHb2g-G=H1N@Fau#C9?5&U(n+a|p3t1vrU)!kp+L+igIMya5u4UZ9
zI6drD%F()B4pMjL!;7d*XH&JDF~9Y+Yxur-M7NG%f<|<FhH`ozL2LN$shfUx>MK&j
zQT@6Sk?y#Ph)%cP0X(hJI<Gv(rCLjOe7D?MuyHtKN>}@9@@Mg{;mh~(zC5E%=Jman
zY0_3SuWPNuVeX4keF@7|T=I_SyKCJC6D6V1%NDIX!?dMjgOzD(-ck!2=i6T2qdr}~
z5<Bkeg>lAF;7D|gwOD1{05?{w@Ri*JS1o!zhZKI$5x<7^R9h#M1R0x5&2TI(_bBB-
zUYmT7jW21)+y4uLWxKKh!6#~*<#tjOD3+yZ(gJ)-AA6jfcgZ!_oj4^3N0JE%P`SO5
zHfD#*_rms8D6uh8kj8G4o@;<Bi+#`+c60^Jq9EWDs>{`rQm6PI?cLEPLF}Zjtzl(;
zDq9*K?pGtxw_(jVocj+Kld<LM4qjtR@J<{lme)Bv?!NEw$Hz4^QYY2F@Ys%Ztko-r
z{)Gu!BGR+jGUgtgq0V#(omeBw=8h}o3Nr=K*;|8^TP}53mm8=1fYV1$rXszj;E#2|
z*-s%~Q9gLa+<{h$oK+NzV@sV!Es7nu8)%_JUAZ}1*m5(vxVEzK^L1AtsLTo~du*#V
z#<~v<<;EjaKa(3|#gv9Pj$FGw7=v+RSC3c}IS-!K(S&P;QeNU>kmCyxnYmy)XPxyl
zpA=^bdY>Lu$L{piwUMnB+`cVK#Dz|~r}JX)99BMm`m44WW}84YJGRv({xXeGk1*Z;
zjfI+<W4l?Cf~0Hs1bSX1rK|GfBbnIsOn;W$bv0q9Z~tQa(b0!IRx42ALKz+o5cNE^
zgU5*H$Eh|!r`_q|oZfVcgpZee+c{!HYOSt*Vh0j1vlx_7)P-_1F$2lpqBy%wa|^48
zDuLY43m>=CC&YNxjXw)v_WX!uly_BnADksAxDpLpgG|}|rT0)!X~S?g>tX&t=4kI|
z%mdY(SKCab>UAllmp3<iF4rCj-44rp;gj5A2$jN&bI(o6b3Zev>nY4nZRSuH3Fo_N
zMKF3$(pP42UViivwj%lo{`A@59#p}b@*?F_!5CI^57p7V0cD5!5eW50W!FkW4H;Rp
z6+#GEqya8$e{;$`Of?J(;*)KVh+NHMq(QIOE581sg#d-32rxx6;x6q?`;i3++5n+K
z`DE00bhg-lS}tUtsi}ELjZDL6!(89md|*n_3i@4Q^}wX>_Sf{Z!GmJ@=gJJ3+(@Bv
zV$4X_$^TnQUue-QI3DjIN-j{QXGwXC`gtF$^P6j?*W*fBR0vyd*~24JK7dZb9(txx
z!NeVs^UD(`ew@Oc(}>LdZV2{J=k3dzzlTxxHWwDUIrM91$BgsGaqd)!bhc5)W};xT
zaa%M-8B~^R?uCL+x|iOkwR(V+ndDEcY}1;MtWOABkItZB79B^h&Yp;WM*NX;o~(cg
z9tPdb((*zQo(Gd~hc%R3;E20V)WA-71=sDwi{Fz4*jqB%{AqENN&Bkx;HPVy=lr%O
zFxk~ax|VHJe~+<@TX-Qomf2o<Id126eo;i=n+s(*U;yz_ff&|kc*cIk_oCj<Z!ets
znpKTKD!Kc1Y{sBtZZMte3h;nr0w6{T5^=p?kAU~1@yOEBoEI*&Hk?Fi6_p>iQv^s-
zA&<&dgu%FZ&@XXZSd}Sg1q1_QH9jY_1PAF;pUtvK7Tg6B=REsgmzz#|77|}oh99{i
z@s)XVYp}nIx?9mu!wm#t8~#@1eUL1>FScXZ2-#$7kXt@F)RVYKNot7Gqrbu0>6mc>
z^taEcEyojh&t-(Df`IJe8u;`cy-(L0qw%L=9}&DTB~bX1E!%xXhkw#zdt!`2jA+pI
z6QHQ3>FAbG>d!ZiUT=wen*3pP&kN)_p@%jpbuZxK|2izz%&S=k1ja6S(LA|{7C)51
z#6MqViz9Rj_vsqwSUZs@2T|KbrMH#y4V0s7tg4|sQlX6DL;LjDn)=3Xue|yVUfCBf
zCa4j{L~EAQu_M0Em-Pe)VUC;;;B9Be;y-cz?oC(brp6Z0v69v-LUsm%ZdtjV+bPPS
zNb2f%TPBTQaY%43!a{EVqpn@i3B5VgPop-7Dm#(o-VDTbHd51+FYt{DzJ<JgHcj%>
zBnP(ztwAvoNZ0fUp3tid1h6eg?K`+2o7Glng2k3WBX&)QISa}-b=}U*HDRYV@kwC}
zH~VGB=J&TYfn>4r9d5g@ud5?%JL)>3<NSh2iu{_e?`K~<EciFThdFZ-OPXZ`uZvb!
zL(-if#>cPj#C9uf-X$mJQTP~keSChYu_zKU)S0?fUHH`^PlM}WzPF;p3X`&Myk3&X
zgN10?UX{ax=4{}U6VtM;D&7Qz22Iq7Qx?B?DpQ#Q8+68NjuyJLP`LYEr+h?grUz-W
zZt%WqvutlwD<%wWG{&G5(?W_!2RYQzxWUwT!Olgt>{0_-PrKa`8w!$E@F)pMPKzwO
zd-Qr$m|eV#hr4Q+B3dr#4&B$OeJ&@7-tBfb=GE+!YWwDl%-tuZ%+x|U!uE4jO|>F$
zVNNpvGm>Z4QvSWv1yw~=tA%W7uAJTll^mYMmrw}iawoP#J4`r^56Fdr1ktn8cueo=
zZ9;9~KzGKmt$PpqJKU?CBUchN<w`A-i!Kh_kwnup)V4q$Dd^VjzQQEsFykxV3rGH{
zX;Qx1h~&YvNxXEPLF^K)ykVsi_9uF-R+Ch49X_ip-kZHVevY4f)G0S=5it+fIgX45
zsg#-YTX%_fLw#t7e{{Y^V~lo&BJCKE7`O+e48PtjY9eL3Jc&3^XB4IG7ko4yD%571
z{FpQX{wH8PV`*y-Ol+xxIt;TX7+{ojNi-AFYdJ&OxM2n7Yim?OU(li`)#J=6U*5CF
zOKYrG=wpsMezqeu;J&FRg~!ukNXWp0HE81s6jp!Yn><iDiZyR|v+9Z$4u*zIm;i?0
zlwfZb4+o;-Wj$n~xY+O#9!x`;;fOmm^6(0eKr`K<z?^kZ?c96z#G0`4<+eVMs{eEX
zq2KNiGWeVrOU=**a!9`gY8Dn?Ot#yoIyxEmrRUQ=s$nO7H*7iAE)hfC^UUWR>hsHK
z_nBGIzG0AjiE-ak5W198I8**`SdK9_dWYzq(fYQhxR^60p0RWM$qzFJc1}&CS~_tE
zVf7t>T2o9^AK>Lf?oLJ_@mgY1xAFMC>D_B92i~&%(Ejc_5}<V;MylttzhmZoy=p7V
z+AXRGfg=EhT$n)UJF!V#1FKB4ZP07m6HRZ1S+6*CzeUI=t6@<v3rp{{kj+rXf3#&r
zNdRGw7+dyhH`XstZZi@)Xv)E^@#)kTwN`TXBaJYpyx~=I8sHD)zs$n%zep&y|4l-1
za4`S3gkomm{BIcbKVzhrnYmcF{%?*H45PS}t*e<c5u>=Rk*k@QnTdm`8H|7cjEk$Y
znUNig=SFM`xMGeD27OEy1f}F5l5TKUmnhVV5NIshN;?ER0bRRj1DJ<LP#1VQ7%anp
z*U=6yYv%h;)oWFCuYk>`fcLeiL}}eHjnTd#M3P&8(0^DcFkoex4VWCf|H4pgJUn(x
zO9)Sl+&H-mW9#5oK*(Q%A`{qPAp(;nfpZq3=#WrC^UDbR<M4Y&s7F5ZWB-Yv-qH($
zn~8*Q&LI8(RWtyj;S&*Ivhh$uN+?(~q_RJ8&-TRuiMvn$l?U|Or1fn9qr4DVG;kw<
zC<2Sr3ct)^PY1dK(L=g0L0!BX5Mzbb7Ai^zySx9>UK|BIu-U=QsZ^-2{rGUL5SBr@
zLNoS6u>H4bz*R!tbAq*vh4a8IwF3<Pv@Ljag*QSLNPAj_kQ|W0x_NrK#27>t{VwhS
zX+bPP)5u`&o0{(qpcwsv>7aY2hhHA;{@wnNAff<gh^%bhHC_<nJi`d|eiU0skcx4d
zW?}vUIv}E<gEr#1nc@9)!ZQf4P2lM~cmNGPR6^<;5KunvSGgdji$w$JQs^|e?Q56B
z%dSygy%vNq@v)%;VvvyDoZl)XygNju;BFV?r{G{~C|A2^_fII@021uvuAOE(Pt&DP
zzkD4L__@Dr-Y?6aM6JLAAbkV`1V08ppfPBm2c|ajpIo8MMdYXSq{p_m4oCwB2}p^6
zV;5W^g9h@mcf{#U@G}Syp<F%T-W`7$0B)g^GYDP(iDCfu7z~{7r^1s3^VoyK7oWdH
z1LPk4DC;*DFkYYkj{r75>(pOh<I{J-$3F3?IuhE#QmVl(g~=avX=xr$pl+=WFW?&8
zZag4)c?N?1%hTXn|4}8#pr6V^L<8`MQc$72Tj%`Sa|80O??K=Ze~b|5e<4z;_<5PI
zAWVSpvoO4FypvhNnIDVJpW}z0(T80nK)u+{Zj`Cs^%Y=&6<~MwGY@(_;GXxR$;Y~i
z{?QFigD~3#^lqTSKet<54blYEweeH04h-Y70|6be%v!9)?X||`2}ldpGaVoxf^}nB
z+WK%<`J!Ka?{RQ9gp%AI0RQ?7^?Etjdn4R_Ov>C8=p$j6UHXy%|GiWAGeZl??9uSn
zW2@Wk160t=I){4gwK5xlxi|gZor*ye-!}$lXc5dMl&=Rg%l`pFho3X=hnN<R+0SsV
z^MrYD3esQ$z=iIHXaM~Q1_Qb}`4R8_njIUs>A3Qj^3#~LzlS^mYX}Ae%ofuB1Z)Ah
zR}1dBVDJ6gxOV;9SbzTXTO>9AB))ppuKoLiG#iQc6Tk=Le){hiNxC2rVF3OIq|eRT
zGvb?W*rvf<-_6$6^7{Kb@P`d|9^?b#*QyO9h*!YWJjN;BRA`W0Rj^JyExCSYvmfE%
z!N8SZbi2^}W*V{6<~&piN-y{6OuTNw*}wTduV%nOK=oVYfO>wy;ELxoCA)HhW8)w6
z`32kPVT*&%vFpI-CfZfR(l`WA75j)#^nIt|6OC8cdn*bOjPk|XW^8ZgzfZBpeZ885
zq^wInrh@^v(Q#rFC#R<)0kHPTW0th(HAxwHRvHCv+^B@SvP9|IT~gP$CkNYCKk5@8
zusf2z9ewfV6|RYmj9E>a(-KvtJir-cn>T61y`TM9p7S_gar0AVVlpw}R4PW^2eJTL
zUTxvUDkVQd{9Z<Eed}+~=W(7Yu|MJ1gJq3#)d=SYClSMB*CLGe`e6$<O)T7e$XcpT
zJK(D8<M{*2w(ITE0uyS%$@e203{shkm7#Ql=bq0O+NV2@Imss#gNed3%!U}_91ryV
z(?l6HmZsTWyveEkPL`?i!ZwJ1_;~Qq-G|Qchk@k^?13{8ci-kCa)7wfiM)>DdQt;>
z&M%`qUqCaeNRt8yqBrrvxn~{$`aS!Ss2#68E|%N-T53XYoMzS%MBOXb5-SHJ2Yl7J
zA4~>kT9aYzoY20?<3ri!ld_AB;4MV?rF@uMQVqvXqKg>ojv4bRj<HNz-p2KxRr!16
zPx0=Vl)uLnh>v*GNYk8<&&+xcJLKm_PUwga@{_xFSK%JrKJn`#e^FVxsiwcIwCgQU
ztmp>VR9GogFBi={EKoJOVX_|#AsDK=E43TWObEC<rgmcVV<5(7e)LwjKTp=%hpv~r
zHKqP2?KK^GE1*wTL`gC?k!P<*H=oy=>68HIGn~;DvEU)e1>1IyXB26bPWpWAuQ|Hd
z(1BDX*;Q-3mV3R65}RG$U<eE<G~&Y1pdo+2p~Hbmuh({JdU4Nbd#KXSK;1${e@Svz
zwE~LckgSMx2ooM!0sUx<Ic<bZ(p9T*K7zl)Um)BUN~g=o8i9&-cpqZf$V^(a%q|&^
z^KZ}!LVCH53Z#zceLi0BF`%D6Y;30|lk=<c{ssU6r^ePs=IT+)<UqkATD$C5ggDsv
zRjnA1oN>j;^@U3LzxU4IVH~=;e!vG2qmBCgE;UG3$teU`gbUucH&lW?5x7~2mHif;
zmYp2qjXoYst9ZYp8gUiAvBM4=eFMpi3V`+f?zb_f<Vn#Wd3?rng+^Roqtd^BkJ@TN
zafLh}v~@8qqgtIUr&|Nvn}}(unepBQcZN5B_d((4hAr2T35dC5hS-1Xq(Q2iSE$uK
zqAkGCyiofiG8vQP5QDV&+R;J9xIZ=XBHe`K*0^^;(fS3l#2_<q$>ed4Do6NIv-+%e
zL{?$*=ghs~@IxZGlCm~lJ0$<Y*wvuVPsv^`Ia%zH1zpSAhmQm^DzJbKT*fGsd$FeS
zy+60@sM`3(X2bV|xo&S?uS!=cl(_4eY-rtbrdT`xf&*37^bnVGUcx)MXFEEMd(O#B
ziKVd1NLAk;>8DKd=}1jUm2Xy)XRD#LvS3*TzPcp{pNK`(?fXyz_<|x!MDtvuyalwh
z7MqcSpC8@@co@W*37my%CvS<6g`I4RaZQ0zFwjL(>m(_A@xkcg{mm2HWT*wiF~_PM
zhr!5DRME*KV>T9H^D}G<N-$hqq86X-$({cq3d`us5c&QyHpb3D><~0<rq1hc1v03o
zN66SLG;dajEyf?TV1mqg%q%>XN)iw0=nTHY^_b9mMT*zveDj!E)oWL9h1cNY`E&<t
z*gFSmN;}JSfvur^DSBl1D0w{{E{8++-tp&)6M4K;3ih%x({3H==NLw0+FH#{H|k($
zw?qVru(U_TyCh=TL_LGqE#6Gb6ZCV8GB&)oI)tYxMtE8#KI;ihMoz^3U8RIpuzryW
zy!Z#-0eXBTclif6@cSZUN8Pq`O+sG9sy?ZT*iCXUmsDUH7)uoUM5diT-FWgY=OwOV
zgF>NJy~$yD+t<KtsbiocU&-MA`lL6&*3>X!=@4}io-nWJW*@X1%tn1MfcPDN&QNkJ
zh6-`MrPflfbmPB(=!1G%Zt2NCuSUifF*=j5s2l==+rgvs*<&9f@fzzgH^G3_P_^M@
z5R|SQWD~J#GCc3YrC-6|X+dinn|H~0CR>%r*}Xu(s?2k}YmBB@J!}Hq)b&e`Z4k%~
zsap<iW8dZ<1uSfCmL_#843_dPv{qmK(#8Do!X7_BqM|!;_oQFG0w@wZ7N#Xty1u4<
zCC;y^w`<HO&B)z)-eCMKCO+dSNIBSXAAn2Dx_7y3&kE-0H(dsUp#ZhfWa0;<hEJ5*
zL3$)?r3TgQ)$quTiPu2-K-PluH~?=QapUzv351IzmSW8_9<qy$aR0cK+X#p3XZU?w
z^{~??;VY~i5XkN}!y-F5Ebj{y9P4j?ZjdsaE+aKsBE@O?=Wm~-N)qZ&IG%!)zifj3
zX$T8l@c_-QNbZXVrAng{sgLdSW}d;>K$5I2v0$(^j3QNsv=L(jFm2Tx8&%R+^2W;<
z?Iqik!J-;hRzc|-x<O>st+T{ANa`E{NQPu;T^@63U5tILK5H7_r-n0P^_Q!IUcN4t
z0fvg9<wp9I!>r`u9|HK+?;+b-T3H?AB0IGbp9aO-j{rxb8*(CdTV393FN0yKC+_rW
z>vzW=;}Ey~joW9;A_3BzNsr>s8H1=Z_M{W;oj>IY(iK={S~C|vNY$@QMG;_}dgTDF
zz_W-Qg1$+eGF)pP!<?%njA&A5X?(N6Q7~s3(uU>E)%bwGLgMNNg9(CHzj?`D%~{%!
z2`I$rI(1BiR+OrfW1%0rp~!&?=(=Wi!FWTa2HJ%Rk7e#1P$?tBE5=ITy0T+EPB+jc
zxs%_(Tr&b1J2zKdBMyfO4H$e4#E`}2lKz~Ou!n8rCS3weyftSdFO81_!?A-@l}3zR
z`tqp8l4eKBoG9Yk0bf~lSsmidtXHX>22h%qQwkdq6NYz2x$e+UaKsshq2PA#GMMDb
zL5{bke@7*%JNn2?(ETPzWjb$;#}4I!6gkqt+I^8@eSet&_lpJfc+^;&1mWK62ol^n
z5}2YWqghL5`}Ea~skI3nTMdnP1vh~Y0!>64@2#x|GSlt&7cM}clSTVlEO)Hz_R&t-
z61LywjPXlo>OH^^!Yph2KCgnVm(2|33U@)`($!s~<Q@e5#3wcv+a{oFUgg0vZTnuk
ze~HfQS3JCktul{vafF4z4@WuwxCh!)x0zC41?XRQt5V-WVYq>;iUPZW@mROK09<D<
zi+f<F+c8H1rFq(6Wc1~R*P}PnIB}O5cte=*;m9kS3_ZAi*AX|1pja7wYhF!4zc(7-
z-`TS+23njIeT?%JS`0CMnxAo26pGtl^K4lJ%Xi3a6AJyggt#|H)8zzE%Dp^r?C12#
zBhs5uT<C@f&<X+aLxcTp!zFC1mpSV^@$3aM@vcJlzsNSxkl*8EkYa!5X`iJDpklfc
z#JcEnwEtn7@UI>G{4;KfV?)?ulVo)Z5<+Gy*y6;CM)meIH^z+`YqA0qPW>&l7dYmj
zxxxnLS9b_I%J`TYW+$0<;;dNyciDSXTcIIsEdsM1m8wvD^6&W-v@39&=ij9<)urR;
zbt*}8w}73;1()1Bf+OTV99U<uivsQymQYpkZE>zR1a5I1{+-rFf*z=CR%qDX+MG)A
zD2Vi5Y8N}jJj)SiSF~NWg^VE!Xq;$HM+Dq=hn_KY*cHmQJIROs{dpc@?$+kw`}ISz
z33)TeE!yT*k=4jps4<IXQ4vD15bMJlBY7T%@la-t@jJp2@3vpkh>VQLntHk!_X1mm
zfF}myU_4rC<jtFi=#a`Zf)EcGq@iv_+=uGz3ueJ@{*OVGJ3n5vRyBHapkTB343$`K
z87@}=QR-R47le<?BmyTChVWk*5GR3Fk8&{48WVE)8b@LhY$Oly3h1sms#4%gpxn=?
z?1jIV;_41x1H?XI3(8n6?l;mNzkSK`+EuYgJDtoyDO&svr4};|RV<GxP@aYxUu_}(
zq?%6SKVNCj*PB>P+EhKWBj=C3p~QNzz0nVRE`p69EVUu?`wcs{&okJgaR4esq5qg&
zoT;1YTu~0OlSsO(ooW!u#<&_%IbU=ob-z%fGPT5OS-QzkfIHfW$EU%qTre2tJC5al
z-FtFwuHr-$3^Who$dew2M^~yi|2Z+yz?Ikm&#Vyml{L-jh&a)}b=D>JE&gV&jIz?z
z^1T+*-H``U^aY9X^@Z@cmNU2tu9;eDFgWPa8n)DHEZH6z`HO<`q^5Q1uO0jF`9^2N
zT1RGW-09%od&Cb_|7&Jj*1|`DOqx36((+dl6(NeT_L`xEu4TK$PVh@fF~Z9e*7|<g
z(M7-1m)KFuo|LZc-D$8$O`1=`SI`W^%oTh`64qEV*?Jsl+?O=;tpfwwKEB_+c!rVH
zOWK213rV!sse{MP8{wK?ntii_Tdk+NI|KkdMOBc4ThHogfwnct`X4k_R?YULt`ht~
zk~(}ek|X^vz+1Ix7};k<)6%8QrRzM;{#!4m<qIavSCn0MN5pFXIJx7e_>SvJO4`{W
zx&q@3J;#RU(Fg4NFYZG)cL=I~t*twQM|0mZ8MN59w9NvZrpAHZ%hSSdXWAc`FuM-$
zY?<|nY4a!gyJ1mRA&s9~D^lneE@og;aF@vL${jLfKR#BUZVAFVzch7iSeUpvyQkH2
zcautLq*QBcU%zC=p!T{r;4}hIythZ>!<EB{%g%7T*z6vr4h)CB{u-q=rO{A0wAGB!
zsCWvZPxA@VjafJvu^Ek2(Lj%jwfe||)*;_IYbCI?aWz9RlNyaHN*wf(Ld=V3ZiQG@
zxR-u`*@<#$N|IZ+#jL`9K$RQ&e>Ea({j8O}`S}%2ob}_|?zV0g^XaB|w;BPYN{v`X
z)!Fp*_hEs0$3mw{iYAWif2N_~ynz8tU(mT<Tv2A8L5Y3iuy7X%@N3*Vh*Kaes49%@
zE#8R|IDLSGD*i|%o8P$FtkD_*zOh~$;3jUQC=@;<z50WtQ;QB;z`FuEV1cZ0CkCUZ
z2<Lp%GV9$RWLN8ZPKNj2`d!3y>GOvJ!`KDZi|rPT$S%_j#&K-7s2tI?`Ruz{Je`Qj
zmsyBkYYZe5U9Iw|y>~crkBvwpYYyKp$nO=;2qlGuUmtr|4vojMD0}T-$u?|C5%`#b
ztA6ymkB>73LH4&6q=;-$qj+sHvIZ26#S7E>7S{3G)#o{lfHP3J@NGvJK=xUbH#puM
zyoTLt+hXfQ!uh{Z4lTp(7X&qeB(e1510s>(Ham>5`gG>n_l|I~QUTu0?`*L2-~2Ek
zA6$#|qi$aty}DVh#MT6?KJ5I#I%)4$G`snf{xw^I_V*!g@CDl#w?G$8mI6F30<R7n
zW;-rSj%O6&L5YvYFGbhbKNy%=sT9S&T~!y)Vma1)A8K&-)84e&^JW&NIYN=aHseT)
zwGf(j0B7fjQ!}KZIGieBhqxTgGXAe4i{rrJ^4xb7GG4dOD3A7M$x)foxC0~%g&%vC
zJnp|r=_G5!0|JQ4Po1(wJw)WbM3~d`IMQ(4v`e{-06*Y_51tyt`c8M75=Rd|RGF62
zA04V4_UJ2`qpig;<(;DeO-b}g6@5yAMBmV`tVrV*=#2>1DRmY+#RVz$JOp>d*D+}_
z;@6km(YusR&4C1#$H*K@N<dKD;#?AqYHR8f&g>sr;zmQ>N2zn6=*Jp*GaY0q#naZJ
z)$=6594>oey~v0nM*mNe!8v1U)}6BL{K!p{OoWGiL&yLt$~z5Z+RoaB)gew@r9C$=
z)Qb1}D0$7uKCOdod1H#)D-6#y+Z+eUJ*=8q;f7<((N4sAtRbk5D$@by4=U!h+y*#G
zU!<Lu(PA2{izw%nj$`QIygL@>udSz6s>DvF6VhzWSIIBaVYttx?FXGM^p6;Pp9ReQ
zEWgIzH%Y4RnD>1*MB?9HQ!w2(4lzgDcWKp|A+8mW%2bR&E5)i(5nXA>25h-^Ii=xo
z_1)US7d>eA9AjUVgP527HL{$YBoB&S@MA>|l}@;Df8CzxU7Rc7uIS9?*J@H~krr*!
zn<34K+;tg)SEc$aBE5_~cL+1Uy<{~nkf{A5mIs&L)QIBntD2`KG!V2mbZo87)ro4(
z6@u~<&$W`;UkTaQWGdoXAgCO4ZP^C|v8H-6RrQs5zg6!hRqmU`K~S~IdFc2s;c6QI
zLe=cSXjM4B$p3;ttB)WbtH2k69nmkCRv237UfJ|J1==N{6C6PfMII1g-}_=`wUX^R
z#Wu<<?r^fiS6C^rHuhVG&fZ%S^C4hWV`f`N4O8~P)L9dF6y+vcl$Guef{Q}FQQKw{
zbPWBCXjMUu)3j$7=vfz5v+Uf2txHT<7ge<__poPY5+%p0QeC{j{I_yQLTCDscKNQH
z+TzPB@nUG*7V#?Rk175+bcD1w-KcWQANZ1LHAm_-o(B?oT8`1B?zFuk8Bc3VKm#3<
zAJE+;2$)Rz_ZCR!OqcG<q%_I*K_C{6FkejB{Ed?e1+JD3F$njBe&tkpk@#6a4Na~=
zoGuG8!Tf8VUtnoRX&dQi7|zhJs5(Ykw`>MV?MoXg;%=D5d*filcGl!nJIeR=?~rMX
zMt6)OcrVR+J5J_+RKa?iBeWqN<;~}sfq)PO?rOV?)vzeH*0jm!&T@G@^eo?gv7r^l
zRjv(x7;*Baz+4398GQ)(cKB{YkqAwAXoZ^dzp0&sk5p^J!U5UAe#0g;<KYY1MeWAV
zQpB;$(2GK3<um00dM%4n*@<SBg<Z$a^zt~V)|L@NJjp_9^Zkm_Fsrc*lB;MBOb=iN
z1IkZ^PabO0`inv{W95A7C3>^SsJewPrS$cHa6;_T3XB!Q(&<hHr7`h^L{n)#Nld#l
z1YF8pycah@+H?LPm%LJmdcUo4Gk+6Ubcb0Z)VovuE+@>Jd7%D+<}90m&riNGh!1C@
ze%1DijG?#;%-0tm;=)1`k+fSL%n!PDe>yY9d}(EaQTpu%?pw1q-@m9UT!;7vF)bdq
zZ8S+9LnFydn_7VOBF%@z&!+2>o?X>a=n{GL)4l!_ZwBaON}YjcsiEcD{SjI?{X3aE
zata#k3eCPROU6f;86`m*ic@RaQL&0p*Ui+N2z+ai-M}4fJ^Oa_jGScZtotSToV+_r
ztqZ`yl;qOr(|I19ovGrAnZ%7o&r@5b?5$mWB;H?jqtUhX^dL$=w^%a5$w*0@l3mJV
zqDHnG7)KRWdYO54+>rv*HwUtC`POei9`;D28!<)#Gv|gW5xPbQ_{?rOor@NFXv0tS
zulj#Yj>M+K;ij?SqQPX)aYNQGkYv1NAuh0qw{|-A4uW%g)g>58bkJQuL%PbN9EG|{
zBI2=9FgfDM6b9cMP>qjLn)}w162ow#0&{+|$B_h<UsoLMrJv5%JaO^<#8l5{CH)sP
zv~^dacTGj?Zgjs|`fV$DAM3E91-aQy+wB$hw}rdsNiAkz-_W+c<t2J3w$8j08xPZF
z5%iH?7I{qA`nnyMFhz0^rP?~D9}-mkz+|CIn?Aavz2hFplbJe@rAzQn#+a@X2Ug3h
z{?;ANNE<v4D47NKG|s}PFPsc}jJALwWAolW@RG2#eA#Q6%*_@$PlfHcoi#MfoGAPn
zhzdQ-@3Zig$+0gimZdb_GA!f(Qri!QI(1L5(inXhaZ|&Ii5{b1rX9k7n#(LFq$N(6
z;ax;s>5S*AqJG&$&<i_|=SNy#>KKc5Zt}Tonrx&~88gsh|23r^I|*la-DjwDGq0U~
zzscS;lHIWicC~?>Z0rm^<ENyWfs<sBc;x0n<j$`DnmGnyW_dgmw{SV~yQDj1bcY<+
zE+&c1fu-xJGxT1%3Z97ZN2ssONQ``x$yZP~Z3ASJGFr3Z6Pjb=k4@6v;fM)73@u<z
zH=7qjm>1P{{~~c9p3ar>J_E6{{QjSu#}d2t^{ANw=Ohf;S9g#e?LM{pg=VD&4ryu*
ziZfUr8q(L_{r(n7I^Era?H#?09AsK#LgZ8(fjpl#s6r4nTtBOnC<wlN;HJRf8kb^6
zaG;m6cIXIx0>?UKUt*TjLH@WCdXX(%g`pQ$=9bI~Zp1rsf#KrCxrO8I3rU-kT-`N0
z{FKG&n(2k-lU(%2daqE@n<=n6W2~Nu^O3Hu#BDfzL7#)!B8CjK@$HgRYz@e=2YrN0
zQ3**u_C`ul+chY;(lRHamug<}F&=^XV_qsrJL5Bc2SW52_IfWeThW`yC?QD1*_Bb)
z?{g&mI8zV@2i?C1Uh%}d__>Ik6i-O~o_C_GsE+<PS>M4D?}2#gp(g3G3b3QJrfp^E
zr=m~R5Zm5Qadk8ukkA|BGWwbuL~%tRByB&h>1o5dR7dYx_z>{dt;v?J@gUiPWiJ+T
zA*4IRPCyIOXOn{dP=I0O*Wu#RO|?nKiT%C&@&5Ntg8BnDwq)D+`pa_mb(ZsfsayQ9
z*^VtgaD0@5QO5MYh5M&is~m|7TX?qvms5FVN^)?A;+?mHN_0B8oOj<|_pBupvF!0W
z9yHdr#<W;eXF$PoYn~x9ilAn_;~cOIejf~ya8nPs1YO$1ETK3!D9_{p<!A5hzFif0
zRnAp{G7L(VxtD`dOIBtgi^t8qL80oN?LDhyvg|5z7vGB8+lzv37!5oR>XU|8>McH)
zg^z`x9y1gNG^N-~5@8KKgYR8$V`$GD2EEL2v(jsSldBgu19=_8Ot*Hj4XXd~F8F1j
zcrR1fLe_l&oelk~X0QIvPHd)Lac8IO97E_gOQ~7;_Ck+uFnJU^!f`E4P`tknINDp>
zRdx@yFmE)LTe;dk$bj8I@fHW&WVgKEg!(F~OXMe;K&VpTva3Ad7R{d-U0jMNo}@ON
zDui6Rk#7wTjgDog`H7SJrJ?nEh1*d~=HB}`gfvz)@X*k1i=p0?>WsQk9P2`AlimDD
zz*Ivt8YSEjv)R+;M<|B&wS2*Lv}GGP@iBSKBgI|$5^|hM18Qs>JPI$tv5`fXKyCvX
zo)|iB2E%0n=AduuW_YX6U2gXJpjEps``-t0fv*7VMwT<Qt!|~SA(r5XK$}kj&u*@2
zHf+1cflIc^@TH$+KP?T-=sx2Q(ZOVrijw8&%zl8Q9RZ!{vO4-7;`-)mqXb|SqzzAC
z0E};gj+<Om#KC%fvTXn(r+x&d;EZL|x4huFD|vNblRneS##xMYSmsTW>6z~mO{?>A
zv?KQCy$w%UATtOU&HSG$hh1NDkjE5mWK(r#&R@scvk-Q7)Qs;h`cK_9%_sl-$*;MP
z^n3f27&{szxxgh10iRO2Oc`MYAgU(38dqPjt}@?$G!ns|bH<pLTQh?7CDGeYOhiiK
zk?s;jaLBu#Y+jY<o_`NY$%_78m_M*PiHST%Qr5#~^(wD}XAk5;y>|A%gF>2)mVS2M
z)B<62UPZ%3T@Y4<Iaqa-k}u*n87;IsTp0Xa6AWSzbG0^fx!^r}NB=jIzAk?Xl*UE%
zHutrBruyM%u3lqid0tj)3zl2)vO{D>QSaJ(mBIA8K;G{vwMvZ+Kk(n)Iu1)EkPL?M
zHOqT6$n-?!)(D<~5(g-=w)~k6szN*(&eCy)#Dt=*v1~Tf$js@R6`&v7!_S__fg|m9
zUS*3?$f@r=>N+=d6g&HHyLh*1yGRHC(PE)8pkPnYCax3nQO?nXj)sRP5CKw#Nqb~l
zJh8;IC|+NAYr}bjt|8|FYF(=cxfQWDgf3LA4R!kf<WuEZX;;oQT;1(0{g-4%qU%BT
z36bQp%t@{yatbr^i<a_cGe_ck6!w?y)`}g1X*L!0JIG8z_I-2L5TIXR25F@xD%++~
z(=9Iyq7);SIY&U6mz}dHiXlo#_hX&(!ZcHDu_7W)4I#HsF`v`tgiy+_v#1gZ3f)@O
z>5)>hv&1~?Se#c)q|OEO`#jq7DocpgcMJeD=k|mvPG+Ix0O}F8Mcp8hzxazUq4~S7
z@#F8s5)Zq^Si=^s&JY~H51cT(y*@X@@UO<|Ep0*2xU#{FRV<u>k(d3{xeE4aG^QJ?
z3-_dIRCOa)mQi)jN)!HtCSe5IE@=Wazs01N8OwXbnVRN90fz$9NbbJ~0v$ug)>G_u
zT^^Xr>&vQak$suWw6o<t_=d(S2MWx%KuW87oAn)P&yfLY-?8^u^aM?0t+!%X9p-D~
za+O<WB3es6!h3cPGdtY%9m}#?!z~zX%dMuM5?>}eyh`vI<4ye2<08ow%lT>g-oM{3
zyg$0ykpj%IZf5{yNaJyim|mOpz80Y^!-(aR1VJJt$0eVH1Ukf+tI*)}jV@R9kA3~=
z`M|l7LpwZEuR&Z(l)X2e&z-Csy*zRPiL-A}huwb<$LOZ_i9<`eySdZCMZybTR-SIY
z5qPcr(Km^!$GP8&W_{mn=n7kDHHszZS6Pi^PomFLq=)`w1A3%He1d5&hr%f#*V8!j
zq}|0WvTz*Ps8eY`)bZ*CJEz-9wkui*E8C`3dgHW6{8!N;Ir2Z#w2sajV?;-|1AgaF
zNY&c?&WD%N=?V=pp!>@v*wAUC{@wGuj;6_FXT}~5B-c#yix&TfzVz~F@t(Z-`w~mF
z2o3gAc)A$3>xo;fyCMILZeT-h62cO9R8G~=8t`p?=a%1SdHw3d_P4uy<EX9}E4MH6
z+;KC0Ka1z{!ZM_#vXW-7b$}tBC;Ns;3sdVBd9B<_&H%AQvXojL(I=%63kc#s5Qg$#
zO~dE6p17<!W4aB>FJklJn7aktP^av+Q+CglSuy6{k5dYj<R#}8EmTm1+)%9H#-xn%
zlZ4D<vO6S!QXm&7i)v{JyrNcrH>NZT&&q}13ZnVXm@}{?1uR;7#x}0`UGbXAcfiS@
za{DB=#VamGT&`-=dc`uvF)Q_%R@Ez`TAPiCS(2`2(YY9CtudiF?32)R*_wIT_@W>$
zl(xQ;K4qr_^J?tC7kZZ>+8(t(8bt`(^PVD0M{D>d;HIgax1JTr=8`a~)mUuXSH>;c
zK&Vd2^i^Pl<8g2LJsQyt*@L4+Oi)R=dq0GG_*?)RFrCIovDxa1u|aHcA^e}6`YXKP
zwLCq$>>k?Ct`shS)_>;GB+7XbwzbSH#c$%KFxiN?;&JnXUJzVR;wQVQxJg3I90cUN
z@WMtr=ol8R7}MMP)?vt6vsErqr8{^fiOShoE;^~uC#giK>8?>mf1H~Q!dEatY1uY^
z!4EI`QSg^TXMWg6XV`blzd~37$JE2b%34EnqyjG~=dz2lD>RElA&+pK`y@8m)yj;G
z1r8UQPs$Ch`<ai~t65}zi?Aq&MpiY4!*Odz2t#`bJ$0kWwI${=kc5xc>xH|`B~kMx
zab%i=3EgCm1taxT)o5{(64-L%FJoM<ehvyKVFK%CT0)H@3|GW5kC|MZ4Grf*@lbCj
zy(qy^AH=YFl^x#bD51E4>i5i7CyRM_6a3v9T?X4p(%qhiEnK?MjGIC))rd=yaA0Wx
zy=md(NB%8RvPTRhn@?rzpuUiQ#1PIz9#(>{)L_cwT;s63z?y2Gmzt|s><2q7$qC5j
z3JCGug@QEvPo#ABu_yE)|6~-qNWT>pYuGQeam5|GA`GF+Z~=#HefVd`e_guh$lGRk
zUC7>_;HO&0*K*1i;Y`~`GFkHz%ozi36dq}X{ceS;h^vhGmMJIffk*33!^D&Ki5FQR
z9~fp!US&DxkqLM4zomYq#n5+KP*{hG*twZlXA{YCs8rSi#<L2p#H*be<=T;gx=MhC
z0|V!prt)j!4F+SM_GR8C{Qhh~L5tWE-HEU+Xp7jU+-BH6=(VnsHw%ze%3iJI?=quk
za;PEZH(V7fG8ufSGO@IXcZydVR3MF|M3a!b<8-A9d_|r~!~|dw#Pp-)C<JUIhvd19
z2^HkRI%@q&p;)=>q~?TS80cdKTS$vFp<;iQIWt36YGDwv^m;X$f7uxe^%{HEAkLH5
zEiI*a^+hO5&<D0z6>8o_#ISiO58h@>M_;~>+qpOMa?)qRm3YACL?_b~7AQ1HQe^U9
zN@bh$A0%tJ(MmJ6bd?{|qHBImKByJ-RM(|_UMP)UUt+9_Wrc?JsAgZR$<Kj)+o?_4
z9=eRuJ@vMUw%hCY2JI07IY^Vxaq0OTi|@cU+yOOPFPa>>E(BXJGm{y+wo?t#l6~+1
zaCr>8<*<RU?&U$+kRt(@x-~G%Jf8}gXzh|%Z-q_`W>18IGo)0g6~;!I|14j1%Gb7x
z5p&h=CBWfybA1UccKwNEyh3h38><0+`L*<79^!B}Ru0*kYg(f5_ULYM{TyX@<GAl}
z=HZgAkf3G$%H%YF`@5#zcKE9?T=3I8ny~z%**`*#2<E~IisDba03gIZKYYJB>}Cl|
zkD&$l$?#CGt&ZbOH6k=HMJf$1JDmA1mj6}wS|x`@Y^B$)`-J*7*K#_leRFc!>d(0<
zmUkMVrv=WuOb+FLs+h=)qTP1+jpS4)<Z)ifR@vxS1Hy;nLViH$;lOjf+>S0tW73a*
zVoW$`V`~d_bll5UmJm`bn_vr0zL2m8N<yBg*`zFv5{V<iO8@w*kl|&7I7LNxHqA;p
zl5cnsDojA50|Gjoz=OgkqvPO!Y8Wmhk^55I5-3Tc@?lh-UhS&&lL&rGOA_)e+738h
ze40+bD=S9(?}g*uToYb$-_rR<7Ib;6IZq7pv3j+kkm_Vw4uw54%=n%xl&i{ln&)d1
z+{)tZgN<vDa|>FIhIjw0sI~KJ6T7LAso2eHNdn3lTd~QtEliEpAavM6#mL4CSBfY+
zKK*^ytR_9GnmJUq-NhtK3JK0BNcNUVNb?=YSkfyf^wltSaA!9y18z<c0=+Ys_97#B
zx<s?d`2YywU~*15#D3a+yq)1tU`g|z!{``~Z&zz-*-2)%V4Cju8$|vL+E;Gro2BHP
zv`ilTmPH3lPY&+HDBF26L!|>g_ED{w8=v7{K?5}c4Db?A4`RucZVR=`gpI1;FQOP?
z(!uGWnF~@12;+=Q7YgH`owGVz!oalk3EA5)-oLGmx-|U|kn(;@^0i<C=RSGZU{Ac2
zl+M8k89kjQz0Io-P7A7md8d!6S#cHc+^Hbmx4|uic;d%!ge!L!xzp*_n$8#WC!MN!
zQrY?(Iapl1$K~oB#F>tWw!N<8=H~}Rn@@Y$iv#Ir@eL#JSC?aFf{nycR_3k9xYX_5
zpTh`gi0g-5s>{^L4cgng1q)IZA8*IFny8{i>T%j5MP>JQP;YG90MFv1Wy*T=G3uE%
z<%<xW#lLvPw^8f$5kyFqZY~(2C(HBNlyhALYM?v6++0=ZQ1&7abrRwf*X3{X6i2kP
zABj>Xw1iIfQVTwGr~<Pikb4iCW}vn%3OvZ7rvFtNJqSS+^C0+5-<5t!=^mg}LV4?-
zTw9mrP6fEOWN}<B4zA_?dYR`7C@Z^}5ljqQ#r(8stf<SxRdaaiDpz===*r&*PX^22
zl!sEBhmTBx3?suyN|5?Ydn4QWz<_@zcSIt$r^t49W`%-Fk7AOK_RAPHTIXt1L&PP#
zTx1xFep<pFR5LDdsBf)P<!$<H0ChU&>UsZx26qf75L;?E6=9T^WeU`RJiA?j$sDQ0
zjxS=$80x5+AJUtVKfZ{R_E&hnl3_aTJm=Qsv6AvYw>4m%KFa=KAZWZ^5H(eZ?Mz-t
zFKPFD9_*nv2((rD=Vmd8(j4-AzwM~13llI-Qj2^<qhv1(;kxle8>u>t>!Gf)LtNTx
zRYYtKR55fCu9XB-NP4YXr4nFSNuj@V6;UD@mg+2B8U>B=7K35pk~a>rW-cy#m4Wo7
zN+X{7t8l<&SEGn^S8Gg-Fu6eVGTp5WWA8xNS=8+N6WKF~jmcszqF>Kv+p2eWjJf`X
zkH?gf1a)4u#*NjvFZ)bRwajw*S1#m(nQrPT;{u$KE{Smcc}KaavHBMj<M029jAv(z
zku~M2<)#MDj=dIP)e)1&3U8q~5Yt>j{^}Q1afo_o8YJ~CL{!+@(tmR@{C%|%Y-4`z
zDpezm2b%B|#cD)y5Gp1ME~x*LetcNdI|R<*X{rpLLfApdpJoBO{qg4`oGA6vj|{z{
zvQifd-p1gE_+d!ukcvqe&~*div9kR-2LIBHBl9rYX>MrBu&Bkph3Bm%3M}d!3A`D;
z48P@`!r>b7VKDj$<DiVDTD$o0Z1sSij?(ofTGHTUveaz6FEZOnx99jO?$$Pja!Fm5
zBTGMqsScg;>`w`#&F@6X+tcxH!lq;*p#R0HbNnw>orQ^m<$qXp)_*A;|F!%7Samio
z&i~Bq{Qt1(um7z2`U(Wh;mr-(&5iv4d%GxTEV!lRmfpX_PNISBU~t$Q1ZW0f&;dQ?
zOl}wR6Q3UgHwQPh*H1eC6@8n&Wmi=kZChn^L)Zkowei^4=v);nqT;IB>0#)-qa&l!
zqa*Rc;>ABME<oQJaU$igLG2rXxgkGh#Gt^y+xlh>0rvG_Rfd!SNnM};(UASaj8o)9
zQ{&KkCr4->^~6{taGsz~4b31GO`s|L@<bYFJlGA*oI^7sE7$C^{)E6WX|g~J#KgcW
zg4@8#aYPZh<a5vkFs{wu+`Z;4U_3xA{b}w*oVP#F160<RCnt1M1N-Oa;|Q*<W{{$`
zLz$YudG7XqfaDTrp$>qXK)!^r3m{y<zJJByhawc%*_?h5hGML3Ort^p1M7n$xTg_O
zu4-U<P|_lS-DTkylvaQ!dO&c0k7^zZLevEGWr6M)pMLyD<FP+jlgq~<wxt!cyDJ2b
z*CzKmP|Y=-5Re-;x;rN$r#jHw_ywY9K``yxGT|9;iwlr;H_n$94-ygOGX{{4*&C*y
zhD=0mb2e>Pb?zV`9yb8$al>4Tk`}w6m~?D>8vQu_V`oiRD6QW2_2li+ahE%gKiB6c
zy5>5krsk)>==f%;@X+-1072R3F@3rk>X<MSehj{UbbOq8Y!Du(14u|e?GK*+zqvPe
zi0{gy57DoQf!$T?E4T)~Qs9TSW{4g@!CNN?zYq{-1n=1H>u%J~FDhMKAX;7-&H(VS
zks0XY{Ih!FglGS|%XiVMZXofT`omH1y|2T^*W~fb5Us#myzU?7pT`L99m~tHiHfGL
zU+)g3Eo^JBdy^xuhKDEnz<2jhKyRUMz<?jzU!az+8t6X{s;*5CpdkR2E1PtHPQ$1H
zYX95nZzf;>XBy6%o4qj5i2uk|MsobW2QB*Y=dt1E{Ncx8<R{|chv(#{jfC3+GF<RE
z=7;(1pIFDg{&xaRp1C?6ZL9c-;C=Q%i$Cnkpx+iwYQpO7H*r52)n^bs+u+ocxZ!=c
zR;M%;r{GNs4KB?s-!2>g(v^3US-h(pAsj=EE<t+?AY4q!)1UbshV<jE)y=_YH?kkq
zKz)x>f7S^et)N<fCX2m*9}p4<@b6;BUU?KwLc;#^OE=tFA$@-Y=78XB=&P3t5KpsH
z#0CgaMF5wwA2Cq)6=9KJB9LH!=rQ5HCS=7=Txe%dF18=xZXkqz#lM6BqNfgIWI%gB
zfMES%&9C5gePl4pcZ8?khuU4=q^IvXfc(UFoqO$q<K44(3@6QRcrX3SRuEn;AmV@5
zJq`4M+shFO`XmV4!DSGs`D1dIwYD*HXh7g!F>v!EcI1z~_T^L^49GoBZQSnLqm>Hx
zA6PBI{|T($9NT|V2wHvN>LIuhq|-Oy?%>t_YE<Wt|8e#<0|DSZ^p1f2Oh!jvwlbXh
zFV%DB7%;k&|5(v7t{N=-*wNhDXyh2QA%4}X_Yzb@^RB_0n%y&!=+-azH=g{iU3w-Y
z@h3`vJTq9*pVl+Dt@X##NBvHIar@!kvL!C?Xa8)q=2W=r!_&_`1kCRDnZG@T9$7<&
zePw^xbnyd1ewyLZZW1)A?EQB%>a!mVzD_S8!5%=gihK;fbfQAmIYWFqs*_2cO*eDV
zvWqvDCk>4szY)$|{riPv&8nuM*8{dBOXGZowYL+^y3=&ad|tlSS3<DX^S=HZ&fkvH
zDY=-pfgW$N4eY7TD^!jEJDaj_*p2h|Szroo?|C%X&23A&zBAkeVd3OE-tv7O_uxR%
zsE?3hc<kORKhPEns7*BupAX?crq3**Yx?LC6^T2VkV+Vja6kUd>FdoL9MArct4tXS
zI`GFE{db$UkK_CI?KP{HPG4_`%F5VEiXnK%vI>aa()uQpiM1c;sH1cd|4Eq~A3|tl
z77#k;T#<7lu`MZz5FI-QdS@ULl)v1aA49I$4G+s{t~R@w+S>a<HHnNE-dI$T2PFTt
zk?K3&aU^@NLkk&}UOogZ%4)maS@CGM3C>@g5LCb^i}4YUt!YbC`g5<LQ?k0lC(-$K
zSV@wgcMbjWhQ4l*zPR%FvaW#7JL`4rW#xvTJ^^qZ6%wYCo*o+dOF!{JC&ZcLsTV(K
z6QfJJWCR>)yESRbCelq;-u(B*x%c(2w=$D`264sL+2Og=%GGrOi(1i`Mc|@{l|!bd
zafAVQa3c0}7F~iy3zu@CE~AeGX=RJC8Y%Z8u?HM~Ax?+?rj5GNon@$;$>74>ol4EI
z(3b_<R`>p>q@kgWOecX>%LcoC3rIfj=tEqE(V*eHu#)hR5DOb{<&{|D{2H0>|6%W)
zf^-Q0CC$^eb=tP=?$fqy_un>8+qP}nwr$(CdA9G&&c;OC8!@{v`?Rr-RrOj~Uu9Hf
zrgtXMx!QI>&<6J7Dn6uns&Mo4O{G@;Vr04FDP&=es3^U~QMcr(nJHBYdwOS%IO0<J
z0;KuXThv=#x%y?h;f7geCH-561g^}V;nqFvnmzU#g_^zf)!@<hJbm7GcF{1$5c#!7
zj;W3-7@|c%W86Kg@0V|#FzhWa=H3et50{3MvDVKcMzHZ?){-ucg@O)&83ba-a$3hp
z-RLS9P!Dj{Gq;2Nk&4sHSe?ysP=KZ0G&`^NXMEC!dkDUWbTo%Wht*ec@!E|fYtioV
zPYCzK0M`-6Mq2IcNi_h{XgS!E@@M0SmwWsvp)yM~-p5MvhD=9y6lYH&Rta97B$NU@
zmSh$^R#U}Gd8Ieh6eCPeDpcjSNnONj%?#R|t$6#y&_)A3!)#Bojzdl1r{XC4;$CMw
zLDg%KaRq@U%%5B3Z2H~LX6ERW1!PS^M{mEE$*t4hTMM}j^t9BjFT^hx#6RDA;^rEU
z`d5o_pf)NdPgNr_t1yml4jCE+C{zQ6j^`SGMcFmpUcU7AsV@?~og7Ku9eHyxmjoQ~
z8&yFeT~piduwb-p8BA#v`Or>bRE$sWWwd@Gj|#rGou+jCq2H3@9@{ws-Dn+Hl^&dB
zRxnz}kzb%wAmOT5a0q#7fwI=7w5eAjY@oHwA(;d4fgw2{y`Zs;rddc9)_F;Px!pAl
z1`)u{v4os6q6eo<3_rN!bd>m}6p--OB$a5@J8ZPd_5#389a#oMTt*+egS?m@E}1w)
zm#GJR^SoO3pF`;-r<vp@$GRgtIvjxv=8$g)`VwGhug`2geaT0O<mO12$lF&snglq!
zKOx$m3<ciK6{PR4=iJAP(we3iby^(z3QD&)i@3mu18m<yf`S=gXT~wAcxmO?0(LWY
zPK=lfH=;I`5_mnnQCl3A1m<B(cH3H?2T`<@T4%Q(^@2&=Axrst{+Wu)lt%aZs=j2!
zO}OnqY>qEu!+UpTAn$2SP|n*WrsJEAt>|DqX<*Yzk2jO#Mv^d{FfI-M8C$shlSf`w
zv2n&*F3Hliv^ZHEOPTD)Ty^Aup5GSFwPqOiJN{duqlatIi6m{2KzqD&q;>=v8|sOO
zmq5=?bP`+wYlSXUT!(<67RG-7Ho?^E1*zF82anpWUNM<#<E!(aqwiR#?X8UCIkJos
zOc}+<;t2=D-{=^Gvz!T}`2HD(E5HrUCHk^B7^|Z8+|RZVJ%*=+ESRLne!CcSW6ht^
z&l^W*cD&Cy7YC>#!devnvkJ(3d#FGNvNnIx@v}oSD*8dV%-#8E$tAg5p0^)?nTIq(
z14gd=%Bk^=zWS@LV7-A-e#!Q)KCPf=;FET#H1HKT3=enwln*{?(g5Kw)1^1-P9v+x
zYj|<hmq6W5N}G3dZ{$R7H48-o<F3W)?U=)oJ%YOrQ-EE{@>ehu^hqfktSDovBuI60
zSH}3u8`l=IiV4ohIl}Eah12olh;g?;r0_UM|0UCi3(B})PJ0(B_^KUmvq{ded)MSE
zMZOFFp^vRk`1CoTYn--e-DTIP_IHE2qk)W4s{uqQ`3f#1ycJ<Z8Rr((^Mqb6aeJ$r
zd?V}<eR*-Olg`sR58kwveQ$p)vA-N}>Ie6NUGsVegII@v+qA3E6oqyV)@NU;z_|QK
zq<KlVBFRE^Irrf)@-M5#&0|I%LmK|f2ppWB*3^ZyBgNqnlWLn79u>2%5?jS*DCKs$
zl)RhQ!D#Ta1~};GD~fIpUD3!lq+}$o$lKVmsJUNnm!o}4H6ys`6G1lAgyl+4%H6N9
z=&(;{<Mqr?=#odRX$^&P{xRM7MFdOA1rR~+yJ<HHZ(X3OAZeClmCw%dD7%Pht6QjJ
zRyxQjy7?5ToCXg%-e65D5KG}VA!U0AX9Nhhu!`_LtEjz~2*`@AA6A107_P$*dx2e6
zj(DHX_pdUD_QWdm0h32j<9|+4+;)~w9>6;f4X9^O6?=*poZO3c_;6@BA)sM(f*TEP
zdW1~8m9l7%BdOOT|1p?_vf`m3=me5b)$VCk>~}_QxmHXFheR|u-`Y4Ok+WQKC}C?q
zk{le)P;VQ)Vl!!<Yyc5nE-`-6l4!-XaM0^D9A%GEH_~*Q!;`t3rSC#gu0wMS-mc4j
z<f2`t7|{y1DU;3>_)K5((Oj9(+7f;YUYC*I|IUUoy%Hd!Nmg}#k!@SUP#DD;8$J$0
zTi=_liT{Q%pQS+xK4*w+v&()y=5=p@m^ugC83AP(O$_vgb<cz*$-~kzxW&m<S)?wc
zC1}@ae31UV2uPw2HQDjGsLoFUl(rGqLVoEEAENa}-zAS2XTH7H*ZJw9M}9Yvr?;;I
zoUlPEzn5r+YR2bpgC@n=&FGcuhZw}e9jY$8m5_f%gCsXdn_|URF-o!r<$}I>{mo`k
zyx*w-akpQ2E@4ql2_QJvFC2tffHvYHO(+W-Vn9Mo>BMcpbV768&ff=ekNELvVkdpj
zfMWD`FX-o$4rL+|tN=Xyc&MB}%0we!i)wu6NAHEGi;_T{fw`Y0bF#+YNDkZP@yt!*
z@!5sy%Jas7$Lxj+rhI!v<6#+hY`#nYd24UeK#?lZa$Zc8p{m8$e9T5!*!kjSvWTMK
zgkM|5J*O%2<mNvCIQTDNR>}iaD6a6+ko^!L?vz>+<U;(BlUQ&=jgaj^QYEBjM^V<C
zHiM?paQMOAb4S4sCkN}<`-T0MSAOt|FdMtIn{{iL+Z+A`m%HVF+>3N9ppPS}j!L`)
zu=Q(OgkI}@OAN!4@58Bj86%TOZp{KCl+4Sqt)@He3+YnT7*NJMmXv~UNE9Mm0W7jW
zjx6G-6Kl})*)94qIf$~W@Y+hs#R23s{Dc5o7n;I{VzQ8&WY8~FwZjsJl@-}2k#)3L
z`AqN@M4Gk&Hj6HbCvv3Q`?gY&K=!+q+KqXaI>=2kigz|BlGAll8zt-h{HAsRQ9cd#
zT&PkzpWf48TBY}a3?mkGkLD1&!rE`6CkF2rOZ=C7P>Bfn!&D$+?i#X*K32z3Xn5X2
zKn^Uf(A_H}&<V(0$PpW}y;Y&U6I~TCE%hrkMZONmy58Qgw1{3s4d6X2IdHE4%G<fb
zFe7){d_Prsf^ylc=YeaYxutGYMZ8(i5P&Lrw#8R9NoW+46)aIg?cj1&-HJ>OS&7Wf
z`*>%l^UNxfUd!TVZ2J&ksY#T+Q4JHkQn85|-=t=eU6TB(?3`$UZljOP|E1AwyNY&R
zK_3nBZ){Df^UMjACb;kBmM{N<GsPCKBP{r|&`>}|(gnG{6{Z<0{=^KfMo|o*=RFXL
z-%fY)vHvfzO~%6q)g)t%**R`9^lCoXt%3dyr9Zr7#o^NSx<u%SfK+6@7dS>z=&Oj3
zbK@WiPqRLzfGTw064lK!%AJzG&H9t{t_b37Ha&nZ*6e7d&G$S0Br12-VrV+J8T0rm
zt2z{{kLdJ{nlHBg7@{I8x~_a~tAn$s_ghrD+a))keN^PUV&OH<M`UK_xVKDtwXf=O
zpeCg6e5tK&?yiJFQzQ47A}9p};d+KE&Fc2t47>ql`;<7BwT>|LJSUr6558pDRj18?
zrH@E`k%Gd05dy!8bru>wDc)FX1+MRAjDX9=imCN_lfQHb^NSi0R2Bz_h_30`qX78|
z9#ZtmCJ&qY1!xhba*9#dI9q`}XXeAZzi2+Up$CQ?yr!R7bZhA!*;6sSi6{Q4Lwf4p
zu$}N_3zQx4FHKvf=i%7az=LZ_INeaic6{4bs<BW+^iG!Z{?qp35I8_ZQE5XD9koSm
z*&Ae4F-P36?j(hL-GkQrwCNEiG&|<%1Yoe>LS909G^PL6UDcTOgxU)@)P6>Ht8v${
z3N!?`M>M686kR6cd<fuFoH}u(=`;KYRyR^P9}B}T%N#QtCo{gS+j3X|3)Lj^y`BY8
zn2%F~zNFJflB{*1ZAV6bxXoi`EILlxU2CVaCmW50+XW0j&9|`=p6lSmUSg0EK4ZSm
zLk8<F*U_hfS7EGyG*(S{=Gt@8y^&6cS>o<3@DzOr$SEvRZTPr0`g{M-Lx@onja)p<
zyB@T>onbO<hv3RkmlDK?UyH~>tCzi?T}K7Coel~ALZJ_}RI7k;4AOx*L*%7MEmIL0
zL84&lL`Z4A3R*;s+G7TP+qc44W>||%D7f({l~<oUc&T4rFXd*0+>habQ&V1%M~WYv
z7GnsF?Fn>5`bFeQ<RA)y8A|UL9Plf|tG>Ri9NW+1++X5nqef$l<-DbkGJ87VdF^!!
zrukjFC5i}k#bn`DrkIp2HD4*RB*hP*%k!SM)PO*MrU7)fkdlhB2(w;=D?+G<t%*Je
z*C#6tLRif!Xjcgo*~y<(aNS#1JjnVq7*4EMO-vwbeR6C!6TW3IC~A_vv!yS|jb)nR
z8$3L8T$JzyM4?j0u|*NHBpvG@F%;|OQrPyXG0!z20(q9*Cta*frd*8F9M+UG(x-Lq
z*@W$QQ8X(z7du&ZdrECW%re&ZL|Vd??Az-;-(fj1e@8i{yVLt08CYp>Ej2vsu%G9i
zj-+lZNq5V6x%iFD+DqxtfMp=3#mpYa-b+v2vaxv`>OyV6+m&Wpeh!8BcRVZq)#-1P
z#3mvlEu9L7Mcep-UA3yD&!%d=dayr^yqi(0I)7c*MYomPJM>l-7(+GoYGdrT{`}2p
z1Nq%e+X1<-KSIzNv&{{H_H}+$yzd7u7|%A_+&Atkq%K<eLOx433vMbc8YFzABHO2a
z0GQc0Omdp+$vjI*t!pi^L$hO+pf!B8N!-f1Ru86IIwDt1elug}!KId4(VX9GGA!P7
zmFFh>eC`8Y@g}LqK^SgW*s{t+O%9E83<xb*t=y=SgH1lrC%(OUQz__pT6!i=bOaYM
zW^I+j-9RR8rF%v@Nt321xZ`g)#!`3S#}MCxor;wc;<I*5d|05CE*XWS<r3WedIu$d
z<4C!Gaq5r5kc>^4$-jt9V!JQa`^dlovFKufN0JUmY*{%8gYsa9!-MVLi6m9pX)2!G
zmr!qklrN+QSic&zke<bS{lXW%df+)?uxc<13HSu92D$IN4m@m+M@JG(04j64rZ_0U
zq;%mHZ<ePJw6IwnJe1fIB*eXTN%p8l;ZOAEQJ{hQ;(OWeTNsDMo|0b`q4%2>Q~;FO
z=HX$pb%2YAyL}cSdmT2zy4gM=_L#>}Mw(JsCmrK4fqf1aOi(s4oDZv}oO0tM_RTCj
zMsAv6$5$OwC+1EsZ9KssYm_P+{zHRE$VV8^w?gyE_4GM9pTU*7{7?-aOAtOAg;Vfh
z#@mS=;Z;Qmfe_{12%?|+dHn942*sZgz8J;)stZc=akJAUlc)>-?&SLSO$>n!64}OZ
zwD{>xF0JIMWQZxk&GOxrD^p3ta@E9Rd46NB;%MvhRuGTVuK-0hQK<6zG|^bO1FSV(
zs_Z{skaY(?OMF>j#;|J{PU(LP_CkSxdX&sS8wMpSGzWc8k5OLSrmvA&HMD^0r0_*S
zO(2fB#iDQ4KpF~`23=sOw5ZTMMLfL`tR&vq7?$pTQF}Ppip8Q)^ol7nf#xBssn9{{
zVz7Mxe8PR2+vba`(QuFz0#c>dv~|T;67irxKCVSyiV5i^wzp@kY*ZXF^XC2h=M<CT
z{Dbob;-NmzUcPO}TC_vBh)#%h_5wBs_=@^r85HPV9>_`TPvm)Z<m6Jx3oGSHX2W7E
zjpE9s1Z`S6@9(;rhV25g7}1BAhvIx?D^l%7XHP21i}KagaI1ZKP#DVap4?WVDl-SW
z#6a&k0F}2dTuB*(G~DW-t!K0Gb?k7kDP_g5UebbNeYpHn&OD3VOyjJtHB{O2=z2>c
zLxY0X2mtaLqGs=lfO^6bHmhkm#utuYlOygQ72m(ds<#tiR7*TnZ<XQbsSYHR-x>m&
z=ukg7G~44|3RZYWK%nB}*VvVijScr|Jwywmu_%0j_ZTieQd&G51qwl+4?y4_7O!+o
z654Tuv@{E9B3IwkN6W|!+~mabRMKRjB|D{+)QQeCf<4$=sj%oOeQ~gON7_e+in47*
zu<T0%ZM%}Ba#GlWUpKn`k<}1y31$|99d+4>KinIboZ^jOre3~j3QQa5vj*va5a%&o
z<MIHJy1l|mE57~EppC+YDF@l~sMSF2+T|*re`WD4X;4jRbEJUGEQ%6qIDDLl>MAih
z>EA>y*k<SI{YD-;YE1Qg5dtO?Uv%5;(@+;Jeon~n4h~-0l4iTDMn@#T6*;357U>Q3
z#PQk(7EC%GfTp?y^Ap^grtcpxVgc`Rr|nzT%4fai(=WY@kzXBEBv$5neM-oNQ&IWJ
zi!_tO#0doX(X8hJv{>Q{n-rvkB+I<`P}1qdSkFTqZt}Pnq2HcDH#PMqhu?K1v8Ac5
zq;e}}o(Vx;2^y_K3Yb+JGA6()NFRWIaYK1+x)W(7nmhPO`T1*jBP|tG*q{e|5o&Sy
z2&E|UC*}hSL6-7@2Z({r`N#U_I1z{~Gie2wjoTp$Xc1uTBfn6(Sn_Kk8Xoq8EV(ml
z+g4Zn60t<)C20Rn9tJZJ2dvGVw~1-?35@b{Vj~2g`{F}x2$5lUtRuNJ^`F0yDcP=l
zf^CNoO#N(B0WPLY$*fco%ieY;SU1rL(X#3cIA&i#>VkjgXOB|E1WN8F`VI65g}odN
zkP~*`cEiD3vd>twz$K!>W>e|S&E>gj*kfImDIw%N@?dqTkkeN3)^CJgkDY2@5TPPk
z5((Cs^7+KEL)XFcpN*8r(XE``Sy<<*4HAxze||Nb24wvvK34zx?H6Mg8plr%@q8-a
ziDWZeSf;Nx*H<vCb#VTXpmLds1ZEYA?b0z5d4dp!sYNkinAf;2<i$eUXN0p86ZRVh
zAFe#nZD+5eIg4>tP`!SuKAZRjG_^mK4d={A`Eht>y5Oc1l7v}>eSH(O2~><mhfJ2l
zyVx}5{Ox`N3o(c^<7=`r%3njQl<O}F5zQY}4{N#o)GVL~Re_~RdEk|(k%i-+6*(#k
zP@vCu1*n$`FTOjul0eo4>6K@sJ)Q+8l^s69wL?GjPE4j$`@S^RGhFsL6W;WksK3?J
zqdXGddUgIUz|zHwh1mdL*@F=LBd)*OU)gDxC-#`3`56a~U{xKGJlgu~H{hM_)MA_Q
zJIR(wl^;d2S?5nN@neIfCpr|WRE~_KTHy=EGY=4|q+S#E@Y<l6<YAg`5UgmdrUkq5
zqLz(PT<-HAq=|-$XS(QFM&->nu=P;kyc$x$urQA87ZW;J<<pQkz8-1<($qKQbXCP{
z8w$K&ja-kwF(6uQ&$In322Ph&F%H_dyLEd-TxcJ8z-=6$Uzw<~AC=<suYwvM8+W#B
zo=U%Wg2xSquMjuuxU+ZJ>o*8XFXZ3m&8djt`T%sjCwLgk&JZhQf5aK9&8$ed|6<o5
zDQrwKR2!J>-sJ9h(T@Y@rr7M%3_I<7?$tD(z>YR@KwlGocO;QHU4BH-)F5XRm!^{E
znTBJf+$uy$1afCkX?SBq9_@b*+v)$U35$Hb+;a`u4&$T)(HoCj9~L}L!*6zf@(%j~
z=Tf#bPs<ZHgdp3eiBdK7KK-O=jm{loKs?bpd*0MWS1{KThUm~a#8u=e81jqR)@(*p
z5rmHvjZaKvjL-i!?DAIyW5vTgJpsoF0teNyTviLGm%}aNSylO_R`ha!oXP%OFMM>c
z%+VmcFc;tXrSYbwQQD+PJhr7*h!4_pBI|L{VS6TE!QmFfWD<Wu{xcT0P?~>EE45w6
z=M1|&uh#--rqrUGr5y@&NkR-8Tg<byzRjl=cl}sf_kPBcx^T!zTXszP$q{_2hW{Mf
zlxXa!#9K&JnuESQr}Gt3Zi<Ebr|C9C1i$=zP?k?kfG*TO6tOk<PO$aNw-?2~uOobS
z*q~Y52l*ReJxo39DBN*m^sgU|^l@M?REH)D6P(7gV(^D_vqrp`!6Grw7LN(`v=yjX
zCsxA<oXJJQIXZnsNPl3TMr#GwO^@US>!Q4oN&Sdn25Fb&Rc3M^cbUZ&<#aH;L^9;?
zps%};^NFkx$ulMAGtO%?Z5E*>&2w%6jVV#lnATPOqc}pxA4b+<$&rYEB{l9i4=izl
zwrmR?oakNoXe{2sO+~Ugum^VwO|d(ehQ9`YgJOc*i~V7Qfn#)0<Sz;GP)N8Py97)N
zZ=^%)H6LA1H3=xPik=XQEWT$t-Iu`7PIQ&YJI&eMRmElHI?CQgYq63+{gKaLJjNjA
z-_8en{P0(wUZx)SnOCOwohxi3crg;Bs!jB2rlOG2!<2q$q?EF0S*<Z>#e#q@`>zFC
z1hQxbD($OLA@aZJbA#eSR<;`m6LhZdP(O<hif1IDq8S@Gj3hng-nw?)M{_TQ*lt`I
z6(t*4x@>F=!gdr~!-oL~Ffn@#p5g#t`Mf+bCvUE3D;#N3mEL2;k&BZT3IRMw+g)8)
zg=Fy5_jU*|zF6<w<+LGU#fz*VK_0gSlA8Amaj0Y{)2$&ic_P8n$1V36FO16@!KTB-
z$tFUz`%MO$8P5}L@!m7!a*G6^+JNu5>LZho_$SYiT;TJ%;!eY{KQkh&jwXaS$ET49
zVm`Vstm(Elhup?A9%uWgg58D1{SU#1_xPkhq#z?Y3fB~waHQ7hcW^rs>C0y&?dh~)
zL3~ZAn7^GpkGTB~>3u}f%~3>AW9=K7?bk%VY2m{%xipv*6a07R>(;n1HVRNJPk@Bt
zgeToI7J9jt9G|Gopm1rF@3F~b#x)L>S|nn>LO*%|gZEb$BF#2$T7}x5AJQPvVSbVe
z_9=?IuQBxJ!UV=t=|G!gznIBg>eg;x<glD{ff#arr;!b3#Z?~ItQn5kiwU$(*CtOS
z%-Vg{?((#K*XX6<9EV$Q0rIJ#$86E4MJsZ!;83W9O`&VFL4o7?OOV=9C}^wrJ2jBr
zhtWPi8WZW50E@X!wT(%#nv6}AB^oawq%$Zz&DxGbR1@x*sdN_fu=YrPd$FJ|jl}ga
zbGFtT)<8d1f$`%Sj^JPDIJs-su7i>|HIjhuO1fcm;mKxNbgV2(pzE4V`=HQyT$2@R
zU><AOX19DiheN|_b<*0d#Eebu<nN|zBYX(K3F+n+t$op-4Kb52bqv&fk)&|~8NH~I
zKzjC<0&Goy;CLV)2@@9S!v`CBjw%mE;u>i!-`W^0BN2HvUQ1<$y@#Kb;PXy~8&c&G
zRF`A4I;O$%>Ux2hHhAqibfA?n{2Z=BSdf|SI$j!fQJhdpx1!_KhOp1*BM(;cy|BS9
zXh6*vsJ`n2D|`cxzNe|z1OWiXd9|zR7T_*0(9PL~G}YLaqHy2Ax{*s$0@l)Cedy-c
zw#ai9aK1J=zo($d(OWOXDBWh;Z1Y;@W%)iV?OmhrY`3B^AC|%+TC;4|&oV}234?P+
zF=zJY&6qzl4fca#k>~FRYmh^zDf8lU_bel|vAKuQsY~Kgk|+{)j+4v2Ss5nEy@evy
z*h>5ePu2PaBfUVx1+OEAj=DlEE9Cp^zfx=12Cp6`e`*t{a%~{{T_>9AK*+#VG*$kZ
zdW8EbbON_@Lc|Z<1WcF_Hgf7ugJ$J@AX2BiV(ugWCzhCaQ-TL9S_$f;V&Cp?q8(3X
z_jIER8N_R~4X^*Jj!?GYD6|e6?$tgRdV#;2rx8!7OG!774Q7KSzr(X<I-TQQXy(l#
z1l1h#)__@*)RcEC&g^ygx-q;m>B!OEgja5%*&t$H5>_|UUN2Q866cu);b2B}D?&;V
zz3yBz{mMqf=vrB}`j@#HaTZ)b`58Wxm7`Qqe7%@3lai?}*Ala7i6$Qsd6{7T_~=%_
ztd=)<Gw#;kGzgB<NoaIiw@MAM`$*va(VpM!9SDSRS^Gy=hb|kKN*;-6>3vn<(b?z{
z&O2m2Pgx57hXyq*@^>Yt<EcF=cY=nd{3H>?v+k#n6KpjltAaxNz1p85+a0wLS$^bo
zby(5K?4)fz@=_!I1vkj$u1K$1ZS@|%%pM0jN9aZRDgV69Mwq`&Cd{E0>*$I$2uBhj
z$`)b#PNQ|0m7clGa-O5gC%Iy4cFH_N0qjg%?zz0KMM{Dhh#KXJ^?dAQVk{(JCt%!Q
zd3KR?z7AeYtd$2STUFxZ%is|}59grOxYTuF-L#t}igQ={%gt}}xvU$UB@@Jl?Ed-E
zJ>$6di0&^UF9m@D;gwSj84(uiu<KEO*gKv&)A1}YmGDFwiGH=IM2(jqR{@MpRM3<O
zQ*2t2$Ih)%<4Qb~(Ux8f>AmPHM<ry+iAH{6x1gbv6A-sh-QqN2Ckl5zMh%LCUSpWN
zq-)#IH*f$ytqz48JJX^dUcDURQX!G{35F?tIs5Fo#36;Ga=vbdqe^{FwLpNTcLrC2
z`S4a=j5*7Igh&Ubm!!7!Vybr6l9$zv0W(<qAv1cZzDbXz>&RWt%v%Sod;T?_>svj;
zc~EqDi@i)Smqky(;SgSJ>&wXfs$m2fk8?^{S8rZEF47mavkDUO5b-=|OaJk5TZ3`z
z9<h*9vc1lp>wH=97drm@O}<<QJ{=ODl|xE`R)r$&)U$ATXX>nGT)fpe`lc9J<|`Z7
zIP`RxU3C@dJ}cQBH+Ic9LfJvqp+}9lZzuqxpnYl!`^vGhu{0tGeTfW>nVzMc6<$X{
z3H(E;je795^R5x>qtt`rAxi#Q)8^TuPepR>H9D~t?|nwHUu2htMN@I9MkkfpF}pnv
z=*YO@-5aEb4V@yhzG@84cm#R8p5trvq+6Y!4|>e$2H}~J3X{y0{UFKXeM5&!25j=t
zTW%Q|mhhJbhSv;ica2v%0E30LeLk|ihGjtv3}IYo0RX`OFdM{;d05<ziY7)h?<xuG
zDz$ERj8d-}u@FhWpKcVS^${-?^YJ^TR4KD)%Y9=se>FVVo%RTrrFHSDzFUn#tC8w~
z1Sw}dg&b<CRHOa$wUT#27s6AL{Bi2{NBX}VBo6wy<X5ODc%Gz4mRtsW*|pZ*Ql3Z3
zr*bY%R?HR14_2Vo3BU!Qry!zsc_@pr>qA~Jb~`2wm9bTlnM}%JDS<Z@Ml8kxvkI>t
zViFS3bDU{Z-$#0NUlKwmOwn(|TS;$2N>9zS6*Cqx?~BKz_uX>WRNr6D$o~esYungh
z6(dS~K2clSH)XD#kc|+)X_Mh(%kwtdNc~k+xTot-!b8FdE+XkumO10EnUV`PYYoWz
zY96}t-hy%tqBJ}=14ilPu~Vi5&H7^jSoFO`E&^GkdC8#*M|ZFpW2FNG?$#mk`IA>^
z&vM^+Jib>g?i&jlSl^3-%yTj<dU0#9BEP6E+A8>7^1?MTg<WnmZ2Cu@GuYawMo48l
zKzn4Qv+8L-)D28p$t{77QFhfW-a#X?R$t?0RZPiA<_vi%8=tA5XSm&(7u587H2XHh
zO^DD+{6$2WiV);5y|-IF7^RF!T-f|Hq~CgSn<+QbivO}49|Ix1isyRNm_A+VjEMFO
zzmFqDIWW(feL9Zm<kp4XNx><d0_ui)WRZ$+G9wy*a;1t!+Th`@5T|xkNw!vOpWH>f
zakgkf!}_v&hY-+>=@#Y}6v{$cfV8%OJL!=cgjr5ROEYD3mJXr{62vv{{fm@qosX&B
z!-_r-3W-m-aO-)Q{tTm+V(ue$(C3RYYlE!h_($}_hF%UsZ|+OHb{9y$3D)j!fI9=*
zm-q;JCrdJ3__>)csYXaRA-RF%?KIIW7awg28oO4xiGF)L;#`=ia_;)5*e6Y3eCHs?
zm6dcpk<U%})_IAM3ASJ#;TYnV$}Mdh=T9;Jb@JBIZf%&A66_z2q}FaP?4}&sCUecn
z=7Ek=qA8l}J*dL~t1UGFbgi4TOdo}QsNr%4$WL$L49ilNpXS|#7;ffm96He+a1=6!
zW1k?6SeeqicLsG^luawM8er3-9(7`${`|$5NMx=EqAn|Ryp2s(Z#9??_e9dH6e@jC
z&e6;}qqN+Y`1-PS6?xG{Yo>y{BiQ*Ax|`!Ope8?dJ%)iQ={-I$Y2;I)GOzp|6BXH>
zCGHrLCGGq{4rs%eGR>uNUuuU}vhYY;Mn;R?N2H>lW}&MQV{ynY<*}_PAUh~dGbQo&
zTooO&1-X>ZZU*jLLR%R$VjMTq6k1yjkxqRb3GN|fF-g{3cm#RNGuA&(_D3f-Y{z*K
zTm0lUW!5I?W2&%-+y6}H#B|dk&wq<;?=_s*YI=J6AEY-N{@OhxyXK}X6oK_QLp)lU
zC)?ff(c6qzuLwx>W4aC~<_0%<QJ&9_)t9QaunOIhnITx*xsy>Oy?`ifL99c{Um@-M
z%l1+55z;Hm>&Yj!+bSgF%H89C<`{CKGDNz@H|;8lXTQE_0n$r1n215^-2@bTAs&zV
z9Oz~LGW#_)ET44SNjIv7_Fd0pEA_asA57fi=_1Y8B~M+pI2W!|m4nEf*4xsN>zPQ|
zLyS9^8v$|1Z8=1>#$f3w;N@Z_bzIIOOAoJ13>oN4iXb%gtFh>9pxf;l+wYeM&se$a
zvl<hqz>KQRKC^!wlw#+m{NgB(`>SST_`xFUm%4#-iNw*@rfZ-;m_$}4Nk>}?5MK3m
z?FHM%^)dh|sYTg3x$}jc4;#K3(z{DdHF9%5)3%dcQ{0ib5JlF?SH}^HD3vBMbhJcD
zy~8o&sYtB3f%8(!79>ZSxsjMXq`up$&~s44=|%``Eh~_sjsfORIOppF`bKSTUKBBK
z4t`eux&?ETmzvd#w6?JmzuhmgdaUlLCqBjI$21mK&*?)R+uq}}x})Uob&dTogJPOx
zZ^uF|D6M|_@_K;O(D!I^9(Yb~MPwnd(#SiHLf$=2M-9R)pji&E=5s@&oLf$jicGi8
z5Mkl{!i$rr&F@CTvN2Y!EWhU9zT~&aVBA_ERqJ-De&2Q!GEpFMKLG5BE7rY?e#JP8
zlZ3N|7sZVg#yY}HIY_Ma^hivfWeTb^Fz@_pRYsnN$TH)d{7rwB_)k?#krj{FjZ1Ck
z<ZRuGRG#A<CFqJ?B0F=suhebg?HhWB!RouD50^3p;gCulg5?J}odn(a$Z|wft@D{c
z-*fvbylHiam-H4Cfbrea{Es--_pU7{8WGXL)Zjiyk+f_P1rHwrRlU&)dt%~<N22?k
zLLMw|)kXFOY6)<lC~U3Tcxzj^Wn_~M$Xrwc&jLQ{B<hpJpz39fVv~PrsmOE6n@?Bg
zhUgyZ$LA@L>}I4rcqc*e7g_{7en#oOSk364r73@vzv+*=rqMD_mnNZ<sRteNv^2)H
zYN*x-xlbyYiGp;<IWoKBODmX^p^tRPx&Uz*1*pxH<_~Au=u;ZSJBBeugTi>Le*;lM
zISE;YeYkv%cbOC~6-1pX@WHS=Is$Jvc2JjW00BDd%fh8XtnRNVT|Y)myeeBd_o?yq
z5r7hT%Vr!0{^BdE5!927!vkH;Di?QjIMkH&t3P{YqH<k)wByv-*q^VfQF7pw{dR+~
zuNm{e(iY|%xltI5-h#{y!8N5^I&-3aIBiO9#X|SMVPZIYPPxnM*}rGPqcsVWV5bKg
zkfQX!zRYEQQ$yEzZn;y?3ykmjk2ZTFIE1-evhag{Sp7fV9_Nk%&JjPW(7R#<+w;zx
zJ%Ig)f#QSZw}d<%?v;lYTMqHDbx<~%z;eHjXm+V&l>fnf_&d3PO=t#d&Zu-`kp#r}
zF7w#V+;w41HpVVChv&?RF-Eq!U)e3T&YE6~+dJP5^$X!u9}xq&UVq5(5qUhO2f4UP
zvRDV11>%7bUtU~I!fQqvw&%sr68izSS)-orBb$QeKM+&#lgG3JZZ#SStyNZ~kWsPZ
za`d((&Nu^-OJ8#qkSB{^vgtSS^P?;D4sk$N=Hst=2sX-LvlJOfM30RegfX0t<22YH
zav5f-ekw%~zivH@`dO&LX7KzueiJ^-NA1v%uyB6Qh5-4w8x7VJ#{$3f(K)jJ%XJT0
z64&C*?ctLW{pd)~=jcn%9&4v&Kj;1~F?WuV2VH(FLEc{QAlt(~6>I9U8>t3$zOjwi
zs9#M9lv-FuMecpc>ToUo+YrRc$>}cjYPnuMO_FdfYtO)JTN`;}!5y1b0Q6E;`t*}H
zL~un<{nBf7$8L&5U1gPGHsT0#L~y?r(>)x?L46Hm<6!TlHq7NQhqnC;VgZAcNJY=2
z09GuI&()xqXfgDET1=L8o^1T8SQV{iOTjgkD5Z=G-Nyc=mlghwKUQ?%g`FU_pt7On
zQFt#uwlb)ArT73CBK62d$<~mRvCITq+IB{WC{UaweD)`{-y<?qv?%1-4hT=VK67r*
zmrU-$eig%;*LN$-@eo^`A~f&r@AkRObbI)s3^I~9YP{=efg`e@(<H%BSMVLe&&ozk
zqkn8(FS9XdHUUHpdeapm+MHF8k2;t{G0WdEnZAW-wMekQhZ#n<2pH4@F)`Xv1c!`&
z8=NPg$MYt`jF@e8c)D(@chhr)=2sO2b)t0=m=t<V^Ka5Lhmm4a+YiuT7z|=|xHsuM
zXq-;8R8K+X=Z7b;B0;Acy<=UtKmLKds5&ROcSi5|7!}rX%n${Z&Min3ZTz4*%8He7
zEK?3RzQTRvx*IHN3`{Kicbftg3NbXX%AD%DT3b<d;_4?n+qy)giTh&Byn+PchyRc@
zT*lHL4Pt-#QN?^1puBXWUHu3Kc8<6G(uvVLp_IVqLMvTvInKY$jnaz!O}4s^PC2$I
zH({_5XB#Qiu*GGZ?%Jy>iO$#WkBo4<i3Hp&e0r{Uq-r8E_mS7^0I!7wNS3myB%QOP
zhi~(7KvJ;G!a^fBE9t{%e^FH($=(hAc&r}6kg!{`ccYH5q?b>xEbLoA^+u%3Na5)u
ztw>mj$b)Z7Zl<zLX*NEw+%seScR~z;>}NzcagW)^yCs->Eaiu1By&V4#?MkIvt+E-
zxyxLA3I;QeaF@@VncPcUYF@~mnW7LfJY=9~_RO=kFtxfhZA-jg?4EHU?+OMme2jn6
z`+Tt@hnatU;j=&yMlLU|`#nY@o15G0D+Sw2p)}v%^&&PGhKLk1Ucdd7f7^eODV?wF
zm(B(Z*pT6{E$=hCyjQMluScifNf3y5WiuwZm*Nx&;^mT~Y1r0nT3C=WxZb~>90HcM
z(=2^q9@2(o)z!Cvlj>mbQxNL1e=dYGsH)Ho*#oL!6rVR>AaL>gM|<rs|FN~XtDQ^+
zr-o_JzA)#0BG7U$vi&FnQ(_s{4*e*elyKEiW&)u+b<=j>dNz?jr;r2PV42eN`Ed4r
zzWmi>D#{pQ-)^tH#RhAsUA0F>jxkV82~vYE5DnNaUdER|9bd+yD8IMc<<2Og!72Q}
z?P8UM28c|of-Fq4)o^1-^58%g?XS326R^gJ7*<Dig3xoxA;((g<)_BE2~q&bz>Cs4
z0is!!=l$L>`=NCz4Wb8TUeqI!Abo!y%!<c>z8;K288-$zK&?SJ?MEUHiTQuL=0Jjo
z=M7J(u!9h$^#BW|kU_>D%t)v5boiPB6KC_)j?R&Nr+0g4!$9}e=Cq_JIxL_ps1#c$
zxMP_?uxKg)C*E$jKp7STuinJFiG8|jb5yE|WbIAwpI@;-E`}<6sWG`)M41?A_u%C|
z82X^(`X*WH%v-X^+_WK|I%(%K3q{q<f0~r@P@AvICAg_YWoi%skV<U1MHUV;xqaZu
zd!d;u(9U!x98~eSj&gaaT1lXF*6{J{QVlyq=L@|BbH6KfnstUMUzb$Kg<3bO(;au}
zqh57>llF?v_4p^R&Y*C;G*+iN@Pf7ropq#7)4!ol=Wz^+5eNJpQ_Ml{2n8+??*JE+
z5@NS$uKN{I{XPu>4+VN9R4WQ;m%gcXwd~s%Q@wsXdplG?!Vu-qmsj8K4MteEP2+Bc
zAY*4;v467E;l}>cLyy+>gt!fM@@X2!Y87~&k+`i$O_3$-#7FT}FeK(@gPJ)p@VYF3
zXI>(`>;ijUq)mKJ(i@rQGHpH^#WC-7axz`L!yI1G3ls$?Hq!K0+)Gkwazr1p;-!na
zSkQCL;u)}>TwSltfhXQ^Icw=sPAPraTT_=sd_}n%F?(-@_heGod#)q<6-Y1lXJvjk
zsC(i{5xlkY%>0BzE|zm=ow(XAWI1eWg4e%1ryM@2+_({m+E_FjO~IRZP>{3h-G!0~
zlv~<^TjGRZGW$yXoAe_ai&U-3zZ7=O9Lqc;k~b{d5z)0>-}gw^|6TWD0)ndiJPqGy
zBOWMf^RD`gP}rNy7GPVL*rEoZj2P33V(Tr^woPYZujnNrU_@fx0_~2t*o;$!)jH*~
zifL*MYzv9pE{s)K{uWj+{(F4ZxaUgM7(~(FLCdN;GT&R8NTnX8y-y-j#|DcO?RFGd
zQS7R-Ddd}nIwfm`e6hYAkd~<3<k9VaMa{JgUolSMB?A-mEk&uKK~8btU|oWS@2%8U
ztb#lO>Rf%_=Z*~D!DVT%HocU8okpq%ml1rDid?0&P|g~`x0;T|UEBNebv;J{ybZ=3
z8RT_hPcHN5tX^yc%bYoHRV4Vn-Tg5Pb7WH1g!V75iYWFYjY;w+pd!dBkG{9%P}|AI
zFm1XF>|i|mEgVx9@$AfzaR@@l8)JjD@8V{6nw5D<xQvFrJ9pk$(FlLu($L;$8`Ln^
zY94MzBQp)8TlFuVe2$q>JFM}7Uh6DVrev&lhZ?vEUURa9A*g&-_$VY}9;uY#uT+c1
z+4S}#o)BXb8+55izc*_k(3YV_dC7ps0@O@9|GeqSK;dTzylvF#9*;{9d{h6W9098^
zOW8ng8&>yZw{QYF)SLf~o{U`7zTY-5v30;_i|eDryx4~jklP+KK9wXRV8g($BXB3$
zRTY&k(b<{GEl5aaX`&)<N1iFIfmu)%z`UoNMojD%&siEg0pET-J|K@7{8#mCuxp>4
zb(~2+p@KhSTa{oYqVT!BL@6>UBE2jh%h380*iE(W$ILP*4cb3@*z5Cq7VMm#&2C{A
z9jvbGrrin1tKrXc|1R1!!}E_A$TEbDlR^2mQ{?WSjl;!5Rabu{Wpg#wnzu>8na?g+
zv4+XeqY8^|_R5tbb%4b7SeMiMRkl51EjuJ$=`*m;=x4mq9X;}ktha<y48wDVwT|(S
zGkV90a2{g7E{5(w-t)PuE|GZ4Uqv)7SXoNjG;RHO7$-WvZkIe_q1M37$(S&`P(eKh
z>z7j8FpKp3j&yd)lF(I=s2U<P(}9MluI#-N54y50RWSvZkuR23zu}W_gQeWJ$wF3V
zEZtN_2<K`?bxEO<<^zzLP>TVi@9s3(*_@*A&{zZ(i)s$~=g~Zrb@nH9-q!;-Tkezf
zgLQJ3=kM#;q2>4We;^tnhh6_gAeG}k1yTvvSs4G@BoYC^|2k-Dts-N)&w$!_qUMH>
zv<@=lA`XluSpPt1ziO>gzNAaYxFsH&i&%KoqZgy+pYmfx?jBy<hw&!2T2iKjRj#I`
z`^Bbpr`o!liqZ;qT1s}W=`1HE=2*TEjHr~N8cxWc=bMg(A20cI02jsA_%!ZYi6K%Z
zqRT5J*4r1uO0@_bKFmF2NA@pbqhr^K`0wp$cCkC>-}(}I)681NEh5M0Uo2Z~HW}n(
zc$_EAvFs}Acm@YJ(h!tCOY|EnGD~oOSK-fr2{lwwz8D;Kj^?r<&~5pqyEv;eys&9f
ztllliXS`naSolB}PO6!7wmKU=w9H*B967V#!I^#|s8Xw@bzPZ#{aeL@%kVzC8+ZTU
zz$DvJkFBn+ntW@dm1(iwmZ?4T97-0cgO*nMVo#Y3-|{XbOCCRYg;r^VPG)LUAEvPT
zsXIu>EAHP!@9*Cag+_;%P*=~SP^;xoCrg!9WZ4JiMg3bk<cv{asT?~gCUSIR&2DzG
z2Ry-nB{gQGFX2qFOK1ScL!1dB)(8R-4b{OnFl|HYBuS_v$AmQUs-O9O2YfIYqZIkz
z^GaOOTIENc34ydv1In|SAni+PpC`wGpgrT81(C)T{XoEMhUNqZ9YTX#PQA-n<&1L@
z1&9`MjU9-v+ZG1>=kJLYEtjo0G8RVcHx{y?2HkFbni5~l2qFtP;403G#zFW5+Xr<P
z$?_;H1ZqcyWKU$5pZO^$q#R5C7|D5;M>tjr?=AQV>xDdjcCBbXANHW!e<CW8gN^pS
zS(-Kz74B)HeCb$#oP%BDX@hDaA`pYs$?bjoP<X$=Q?}10m%ei>5i#RFfA5&>box*T
z;FIIJcb~7DNs#r-e%w5fp!dvf{5i3HB2n^l>A`)zZ6<-vGh6ZcArU&KMERYksNo{3
zO|Sc-=)k&P>aW-HxYWuT#vE_Ub>0Aq8vF4(QO-JwYFmuQ_{cx_$n1z+`oA{ihW~|V
zIRCR~*f{=sHv9jUXcFaqM1weV^M<-DRP_9(E-Us=Q0(Pr9EX)wl0}o6xHLO5i2^eG
z*Yiahp|r}=ufJ)Xbva*3$JZ+tHm2pzyQX^usJ1p{^j>GCXE$CLn_DK<?wlQ_o-Wl6
zOOGyY$TePC*P9gA3)aon=XZS>Ei&%y$~F#PR`u5fHmkrNp&za<uBzD=_R0<}t&1gf
zHm1m%H&1T&)j4qeYC|pMz0Lg9_~*^;$ma@@XE5$cMOT=zOrQ^zSd2OMxEICeHF1ML
zz~GV*<#Zz#DBmdnAJW;*4;)d~ZMG3M^_rp2sUDo+Zxkgy(1(<62d^#9(2t)VhdQ>3
zE@a^yATh1j@*Tu_3VQ-hzShFtW=1;Gw)wfqS@@_WRhyHr+r7@-y&m@bn-a0>=)z@o
z)6X|LQn}zq#?sv?wEOkU&@=R_l2*6^{U6sc(B(tReBtfrp{Z!R2!oSJMg(DL!EsET
zwH8NG*`yayb3a>dY7|Ubp}jH&tC}JOEXxPpnMkY!#0ni}Vb%rwqa_ZwR<i0=debEj
z($SxwiN+II-kG_ifYYN5W`zKa-$X0Wj^&8w&<>Kg{(9zIY{v3VmTbULoX+8RlV!}K
z1*b%C)oJouzPgI^e;IlvXN}}fV)Zm8YkeoFhW`3_kLTo*lgEI|yxHr)y*U@=sfi^5
zu^P|L+n#Ys&hN^VV%*rh6|IQ3Q*+cPOir7b0t8I~M5X}r$?3t#X_Cq5-=+W>lhL2C
z)Ug~!r37XrB?cwxv@(^+MGI34AyW%tQwxmA#o@_CvdKldv@#t=CCk*Zrpd+P$wkx2
z#pB6E^huVaNfwn!mZeD+xHKuOEw{auU_A`aZ-#1{f}+mHt{g6o1-s;4)G};WY!96c
z0gP`uU0G(VY~Ao({zvji_y2tBvoZYVTc4eo^M8jIDuKo)Li@G<GcVx3UM}v4-PWFe
zVe!Z0051DBzua`>l((#>NIVZOr!w0e_0lAs9UWn>ukWk5@TIwVu$40YX7cjZt#nr`
zo9e%;QRy{J-Rh53G_U7aGS_#Ln?KAoX8U`ses#R@mce)JCS0|xA;@s=?RK*dY&&#k
zm^KgFSWMEsnY=44G|5TxI80mTnO#(J_YP2|>N?e)m0GPdI{P3EG{>Stj-3}{(GkDs
z;9eT&-@QMuqz;sCISZuMpJin6z<re{y&_8My{|vYeDq!0Ca$GDy}4~-m+JGV(`i_{
zH0M2icXIw_`<mWOy8m`(k#4UeP*G9KSg==0^Iq^yB{=dNo3GafFRuERA!Rn?!mfxS
zb>!$7^pmbAgQZPogx)mN>NPGcV`vGgZRE)J9}>WVi9k8}p@zBt7>N)u-K<bvh^Dq{
zUArjQn5VMx*V@mb&Cd^Fm|{kh?yxjv@L)V7m41LgnB7p9-Cjn6m6Q4gEto7t@s$MW
zK}Npc0PoITj+X=2gMIw(QA%6OU8oa*Kn@rngl7^IeF^PTlxdI^X8jWZ)93@9Q5;P$
zoq&GAh`@7bH(5*E5%+_(gIQeETcS*Mq`n>ky`qDJl1Y2$eR2K!z2_u<8|?R@Ld!`%
zl>S>>ML958ab6)iK`vrA-Z@fWj)YJSBn|}u?>s`PF^s>%nXj|4hsqHAgx=A7P-jlA
zWgKUN?o@k@1%)$F&|Wr+lP97geC$-uZ3<yCQHp%*;r02sVmd#xxPB-M|DnbG|4ECQ
zA6i)cuW0cfAbD}05Bi~nS2oiREueBrq~Cc={wG>+|Mhw*cih>4nB#5!4_d4=9>3$^
zcM$&vEk;Lr;39R$cj@mQO6C6x$uRzZLNc-czhwS@$^2h0SpRQHhB~%X^S_V`(|;iu
z7KZ-~%E107$_PtvJnq!w;P26H;Qcu`xqFD@P3^$1*+{Ei@5%~_$?RIo<9#X0D&lw5
zv2#snI(jqCxLaEvS6#Tg9n}43-dvB{D#@@~SUd<IwoSixtG*n3&o;gk+d>3;Hh8&t
zeyQYn5}bNIdFNQ3iUfJ-!i$N1*kW;Hbx|_%9;4qtaNgiyyc^|o4eBhLe+I=1*7u(4
zJ5Hz<+EV@!f!zpb{3EWqbmWHlc5{CS4}xyXA2OHCHkAh#A2_wMdC2gbqq`@>;B!X3
zu`&hG(W7u|+I&*YttsE<R;$}Ej;Aej^5yPYZ}pwkM}73w&>;O@_eaG<Yb|dhsd<ML
zpG}-Yuc44)+0VNC-!W?SDn41cgK~FZjl9?eL0sMdQ!udWDw;kMi@JKdpgISRLEj!h
zSkQpvhyQ>;zP@77Y$(iWUS5c<j;nn;8JGnpCDp&n_XrofYJJR*Va5C3wS!zgp2QHu
z&5r{DXAd67E^_sy?ecQPUzW1)CX8(VHy?wnd8fa<=mF~R8~<mR(&n-+c_#!?zXs&(
zuB;+Z@+g>BzsIgA(5gpl*@+th6G#<sjlcjQOpr62TbL#9h{r+N$u92Uu85m05%51?
zFSP8KY{i+eIAWjzgq|8yw~bsq$<ATeT0z)uq02Hq6vG)r4#Mm>p#K2Pk1cT^+7;$}
z2ZK}a>&^vC#vx!S2RrXl9|C5@@??Ed(hFoc<Y+0_H5F}~#M|az#-pMs*tv=~%|zPf
z(j5vIsj(hUBV1=@DCD?$rV{9E9*keDvm;;A$%%W8#{v_{8*+KlLhp?Y#}gEO4hnhF
z(2mB;#uFG5$rBW_rA6JDIFH6q6H5}6vK0l~B}tDcb+m6L|J{Gl<8G6=iPhBTx?g*|
z5WJ5p^E=%RE=6^9kLYalQT@9^czbLCDo7!Eh3RlCb^I?h^V1bYU~6ar&BOCQ+M@{A
zS^uAE2C?gZIC*>$KdS%k<eRCMENWs?ZAirPNpRk8R+xWU@UQ&Lc)XdtXS}hly*q6H
z?G`UC#dw?^4MHB*QruEL*X{q!$v=#-9W*p0RTXdTg>^k!w>1%W$g!^#myJL`Y_lBQ
zX|F*&@s6&>wBI3eglzR}>@?i7Ec?&=57E5-hz9=giqBEPCBs<#apGBMi|xO?n&}YP
zmN)YHMG~g!mDauqU(2(r`0Ncl_tGK8t2lG&s=m_7UGwF-eQ-uTH=4s+$C6lmAG3wj
z{S%Hx==&_HvC?D5zx+;4-&oJ?xHj_xKj`~AMde|KoArINHCF%Df>o3HGBeE-W+~7)
z-dr!#LT%k+$!8U7*KI1HPzkc3{O@W=xsG3Yc2(dFnNKq0KQt3z0t!XP2$V4{Z+M1W
zZf7qJg#jT!qK#uI-O3?uxEiTsHW=gp1;_h%{x|%9l~MgZOyLc%qSxx!<j({jRdk3n
z7=PdEOC1h32ovrYD#Ya{grgAYMMrK#dz&a|D2I$BavR`$zCx`I@XqSz`Uk;p5Wa!4
z3u=J~eJ$t<PNxD}M?!OpQtFohHdrc994Y|E1XAsvEigbDk$R7{Pr5_|-gF1c_z2Ev
zhEysOn5!3C4SZKfDIzWV8;bF)*Rd#f1^ioap4k);1pvi+<lkz5g93gnG^c@OftFR2
zt2(!Zxr?b=3FL}~Oa>~Qy1@IZrIw&;mU%xA!p8ppXzV(m;oP=xTyaGgL=8rZZcHV5
z7cIId(G8;xW7IGRAv!@2Ezw($2ofc_QSU?zi4f66q8l~dxbMBS?ppV~_1;>0t$+Xj
z+54P*&i|jazrD};*VYK?z(wJo>+7EFB*Fyqz44ZTimvPD#TkS&n?S|&52sq1bNVue
z*s)KiT4^!R?NOE=kMXT|4E8(3diG>^+p2(VXVOIjdys87=i<B&>a4N_VGJtBo<1EG
zYr_u@o(?0oAdang-HlLZ@D?QPK|yxcso3(IOU1T=P6@%H`R#kQyH|6sNY>kR+2HJn
z+eb>+hkEf!)aX5_Lz#+}#z>K~g~tWIjO`ALu7;7U57%D(54-2@MZ^JcDe(XAaZEbB
ziX`dV_HJB8^eKICk|!c@P8=!d=|(qV9*ohu`A)2|67BivL4vAt%Ld6lYkPLkqTtF;
z+;^|ijYB(^9X=P7KQW?5xU8(ck0-`8jm^0)ISO9B^pww|)!%GDRpoKcw9TwoeN3Rs
zZ}pp8H~JiVAg}c~x$ipJN!@9{=>xMooZ<G&!dPx!--vX|e9q32)_gvM+sQVPIt@F6
zMOqSidiYjn$tmyU98x<{kDiG<8WHrt^-Z3e(#eK5-??KZH5qu`72tPBAQ@=E+rL?T
zDcd+2JhFoN<;{AkKXF7qLJVsT6Nz=fY)g)dF2i|dCrK_(cy*(u?I`}DRnZE5;orxx
zdg*Y!HC=12Y;06*s`Y3O;D%fJzPJDWdRA>}@*+=wXVE*iJiBaHpw%J6qp*RAYl!K$
zSx4^h?qceQ61w6JV&&}O4ucMZDl3|KzsiE03flvhdE1Pgz#FH~q&$9ok|Fw-6FFLQ
zQk$#yuiRB3r<JB*{eEB8vF7136$ib<Kr)7R6s*TVSpuXt`waRiAZ}qO_XrtvY9A7r
zcL@<dCsq#VW9e;{aKkcazj7X!T%PxSao018$D$oWDe*Ta@V-kzJ!ESv>@fc47OV-G
z{d6ZZ=(vv5@JQ^YsB-)LJN+3S?xE-V9^goSzsr0Sh#Cqzii<goV9Nlsr}MX)=wd6#
zj!PJJbxM{p2m65~M2d{Q>751I_T4qSu~Z~7pgA(2Dc-LsKA_2&mK?0Cun`q9A$(j8
z*);?XXtwckHxTI-cLNW%-(7``hanRJ$4Kd8<ke#&|1r{Gw^z&yyTBbC#&kyfht_MT
zsCmC_Ui9r7Z|jaiWNzD!hMFG$D(?G_$A6Em%><uN)#^pz{{Fp7{WXp^K%<=e91&=M
zkhhbw3Bp_)BmtF_0K<hTfy#auBnmAg3^Z}Ycp!*ZV?PHsgd>K?siG0~7-E~QJy8V^
z;EF*4kU`!EG#cS74Aemc1)$JQzCy%4{uFdYd8yfB5C9=H8L%W6DhUTkgCUUHFsLO_
zLJ#Hi-y2QP_TJtICjd~x-oqC`2{bTKH<!@x^YC!6_wu?l+63w93n0=zjTZx$A<(|W
z;Q$Z`5EKNv4Ti%Y;$R8*zh^~MAlj?z>W=_iS|SW^_qN9%eG&Em|9>gMC7=?L!juXM
zm+N-vQel5_ttP}d0)YAsZpIi-O5j}p^!8<z9PNt%K;T4H7vbeXTnRAv_P>(o|2v2N
z!@|n<Gn^Uwv9`lePL}zxY+c%Vb?qx-SuM|ZS~)wBVvyIC7AC?nTBqL$vR4EQP14P^
z8X>ad<PX1gzQdABU(p%?J7+V9N%D{}vN4*0a8Axy*K}`pDos77!0S3^n+$7@6x-jO
zPD&rn?kIMgQx>YT+i`lKd8d@0QDu>~WK5_O%E->lWa1tiEzjAZ3lAlqHH*}iq8obq
z;O)vnd>3ahEd6_e7Vztn@K&FMeRmoe{=9u%4r)Ym5vUlTrV39RR^smfZ?aR48c2Qp
znf2-`<6}|Pn<@~|o1GoiU8LXYK26i=S~7lRS)(PUimM6UQ=m*92P!4-RY!4OhC%T)
zew6%A+CkEv%6|C@h_fd<F6y;*XDMwBcRI)xaYY-?&bLXUWm^fWP?s~)u&jV1Wl+Vg
z7R)jKNal>U;0E0?pnyj+)jNMa>EyIm^AKKS(q+xE<VXHZV5wi;p$Z24(RRFikNI^C
z{_5<Qbuzy`SKs1ynp|G=C%YDsbuTpdt+d48kZV{9Ux49~X?x`^y2~k8?!;WarTWA)
zNtf|Ock=ZceEdnmBZbjdDwrGkL3T`TbA<Ga=B;bT6Pk_cXoi~YdkE0mVbMe8L%L+P
ztz~Y}#>cB^S%cLymD{#4B2Nb$?anpo-lMjgIa||hSz1jl!a8fk1zp?0frO^3^Y>}z
z8LyRmQWAPaLmz?y3qM~KHx1e?LP*dC9AORTRuB{E)_aWDLAvemt}wk)a&HSnbB-a1
z`Th4qb!$57i0Opi${!v{aC?cYEx8m8Y=vyCk0T?tXetds3z=sd-_mOY159Cg=Q(?H
z+zJ?=e;HzjV?Q7s-5>CE2JEA)(9BR%S89ZOvnk{B4K)H<i-14JEj^f#>?`XI7)J+o
z&q<su#2lZF0@?!`xtlmUP%TL?E0+qG3P%0Qt+?^Zct(}d=IPO>b%*x&&w1pN>@&UC
zRVG8eg54hbwYPTi{M8uife<7z&N3~;lceI~bcTSmJ5?;CktZepR&N|qSm&2p{~xDI
zevneN&LDuzP#Ltj7>0NpN5g3oxIk~cTNSG_AxO64yp&^<syaFLQR$;*u!r7L5}q-B
z$10|vf)nWBv<@6o40oMOsxE^Y=0^02eG}!IH2PVMZ}!gz)lvj(3+H@`n@JpFen-_c
zwFna*oceTKke^qj0sF06z&rn0j+BYYodfU(|5_4dlTuj8>zR8Nxw=$I>>X+uI-CkB
z&jO#$#;THOr&Ai*YTt2${vIAR8g;&UQu9%<{1;v7fr>xPo{*mT(x9VPix{(|n8%}l
zdL{R3F(!*-NH%eM7fFJ;Gbb~`VcXn^XUf%>(AIV9rfB#cgLd0wDlnWhr@p$SqG9fZ
z=_uoCV?y<P1NXQ_A3jMR&%OsDUxij`Rs`L|)5;@0sZk70-qe|c*3cZk;E4dgT`C0G
zMSbB!NxDTOj=xH`AL<m%*N$KeE~nBkB*7z98K7~4k181onfhYg+y^ECo=_H!Qhn)B
z-)dpA$zG)k42|+xH^>Wpyj(S7rI5=0lKNfU+5mm?$d1r;*T9^_M|1=94Vw=|6DzX3
zmj}K~*d~xLR}_&aPQ}ub@OvBQ2wmm+u>&m;TcMGDrTW{ob&6u$F*apO_QYImhGhT3
zsVh0O^)ZbPrET03$NaeGMlt=!hiX&}Bh$Z|!$p}|-;F<IXq)N-@*)p&(u*y+-P^`8
z&8e}E%AV@&zm=VumS!X1gg#HO1u@C>^hhzeZ%AnxtGx>QBF#Hau`O9ZGdTK2WDvs}
zGTM&o*B5-yW@~ft{cFfYVhSrOAqG;)h{MV~+hXtaFX>da{6Gzt_SkNl38!6yhwnXC
zlpoOSmX!;RulLCB^CzRpH#^@!)=9A?`956;v0f%9I`&1=h8a`Ye}0tIg4HS;7CZ~*
z-l3XX3|07gI}E28GQ4#h#nQS2vDqQW4m2%Zhq`?UF+MRWFKbs&Yz|2>(0?GG8VWY!
zp|32gU|G{q<1^wh<1N9d7aI*u-U)b=k8{g;Au>wsSJ1AMC3S5d9xWs0oBK%zOIY2P
zDCp@I4B7P#OUtYuO#x)>D!Q>M)O6T2MJ$wMw$*dnl0?VT05&%g81BYYZR$|mOV&Pe
zQJPlmOHSR<Svp(IIv}y}zJ=V{I)zDYX>9p)xA1ZAwg||zi<fGE1|mk%=h$(_Eg}cn
zU|d<yZ4oa%w|bv2fAY=B7BD{O;Kf(EGtvuDVEhfqbGTi8Zf?5*ma}uVF4!P_af4zm
zj9YBPrA}@ce_R!8w5%jL^5VD7+G>t8PsYX3fytpg7LZ00k4DBV-4EqmGIBB+^*kCy
z&p^&q@hjJcN;4f2AOguCtb+yXJH7N(+=EPfGCg7oGu~`aYQv(kff_*6%N^mJ_6lEd
zZ7__M$BfIY#F%+CRmR4&RTV}0#x*y+VlRGzOh0}4<S5J1y9b|QRr%{4s9g#Xw*A1S
zSHPMuURW9zWR-wBXDC-Qtuif?DE6(s#WxX?p>nePa0jPqxZEVQXmWd(P%d3RiZeS1
z%$ikMelE0UMhj<J>LtI$9D5Dht~j)~n%$5XD1g`>;=xkNa%I%V(RVL2cjHeEBI&a<
zYc-oDza;#!RGYH#fw9rVS-o9s3UKkP_c&hs^h;=bU(;D9>@_T`>t08FvwK4;g(nKr
z`0%cIU{T0tjvUV|y{gUHV8<TIn&Hy>129z2;oKWa%n--qVc(Hnwvqc>|Bp6Tma(U@
zD|<ho9fn>boDFTVKPW$<T|&9O>-~&^1t=K0t$!vYC}0&kq{n_OuKB|+@TM1?6&HvJ
z+k^3#`Q9=+ks<m(v^ljuunKGO;{%<sLkO7FG)U?c-%GNg2i%(98q}@iJeg#RDXW{k
zAu9&uTBbd>v{s0;hR+<(o*N_{9?z^{O&WCZ@1|zsG4-k!R#szssX;D0mVBwhR;TJ!
zG=}`ta#Jt6LqFiSjHzWQ2)*2qOQkPA$|UCT*`K*RZ4W8$o2E@E%p4DS@_w^ko$G=s
z_CtKie}JQZ&5{2TVVN5toGF1?UQUQWfR!Xb3T#aYG<FR}5IIWVJ%AMm00DrA&x}wg
z3;=$4B5QOh?u-KbiES@$)Bsj;QZT5RvLqCI8wP<uA!^{;D#~CuNEHGDgH<KfAW#Ls
z{}v&R@^4rN`u|UPIX~!0L>jV2FRUI{nzp|T^HdBoHBD#N=4Xi2Frr{2owDO#psFK@
z=1ol!@1ji@*?hh*yR|eJ`bW_GKx%Qju82ejuUN!pPJ~c*R*Cjah>#Mw{|hqNIyz73
za33K{3qgM!NeV>O_VoZpNmApx$v#pvH?m?Zs`lyWOtT{8&7*IaKVqMFLGsR&tMAjZ
z$)TdDm%nr-q7RPP8(iB$H9akC6%F;=_ir|M7Q7il<<1HI;l;SB9~+PFSw?-U<nXnY
uj^bPEd=;8kmf8|<PWqgbMd$A?&KF~k#sm@}KczGg&%-DM1l094DE|Tbp^uRO

diff --git a/.setup/latex/pdf/betaNB-zzz-tests-internal.pdf b/.setup/latex/pdf/betaNB-zzz-tests-internal.pdf
deleted file mode 100644
index 5237d5826fb0c70e2a0fa9a61c9405a0f3d45304..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 96806
zcmb5VQ;;ZK)2-XKZQHhOd$rxY+O}=mwr$(CZ5#XDvCqHbM7&?b`Odtmnsrqf&zO~&
zHIh_8M2wb^junb@ZfST8ii3cGz}C<biiZb^UdF`6%*mX9oq>Vi|12naF$*gv69)o%
zF)ITn6A=?5TVoR_K0YW%CkGP)YbdvkZ8h1yn*s>km+CZ>pyvc8y{0bgb3#ZNaX0~o
zWu-0P<7zSy)TJpDO}#zD<GSOLhf8trS}+TbS67?th3f_!nT#`Xz&~T36tFMyNd^NX
zN`9v2tceRGI3&Wb;Q+%6l%FUkiZqNg7gq;o1QDpI`<j^X#dIkqY_~KP##S0C@er3(
z9|<|g^(I0jaADD5vH>Fv8XH4g^Yc01VFIC=k{}{3IkIT(;P7VaUV>&Bc8aWM$T377
zD9h6{g}@Ur`0<e06w$Q4G)*#DPBbO#8dotA#HAK`<dl0yuvTx{Gi%<5X-r8RPF8PL
zyti1c4_|R$yTF3sr!oxE?g$C21%RNLUeH*bYAA7nC7iU4CjB*mli5vQ&R*3~rp@2c
z>dk&BoJ5Ih#!KNt4*h;4QqVelyIrw{aRPch6^C8bVK1nu?lL9WjbBeWC_$JY{pAcB
zL|aR~S<|QB(OS2DnQ-FPR=J#aqCd@POWDsluT+j&2-usRKm30-z15x7<Qk8kPShE%
zX(kO@XeusD6<vNS-w#^KTI`qjZ6jeBJzEpIL)r2Ux+s57e%P)mvkxiIP&CKRD|$&`
zz#u#+xYyh`nEPsmVF3lj-6E$V2kkvvu4d<B9+v6m(p{nrtd(ZM@VMJYoZz>xh}n73
zwBhR3Ur5DA&(ArYrIL_;G~g(1srFZ%)}CGR+tfjMgTeanh^;0eDce6du&TF7sqlmL
z)V39cVBN!XV&{!$lV&qhx?@woS}EK0e(rFNV{5g4=rJyox179amcDu+QC(nBe}_v#
zUI4G?sW2`#q1Jlt30GsA6Sgz3;OcN$IAWX8ygvafz+|KOEtHu9#Y%X@=35oZukzx{
z0bA&`e%>;UbFZsI%1<$VI_`acMc__(B^O{yF?9q7R+&52?28HsU)j6U#}%PWY>fXO
zjQ_d%-x6SA__r2V*_r-pEgYxL+HNqQjNZOeSIH%w0j|!zc(#yRF9`f?#-);KTx=2c
zYq}WnL!{f(;};Gyijy!1urx$JO+^2F+i>6IK-0D`CZalx#cnlO@0A33giq_e*$v=!
zprKP|Z4Crp{z~^#C&Xa*+YUM|ARPl@^+v2Y(!8LJX&4spSHUW$G4$w$fbvtWHjzwy
z)i~`@mbCuKpL0(QfVi^FIi#5QrTF<`+XS1mrDNUg>*V3j$9SX_uw7`IW_}`l!{&^-
zzaiIK4m`TaleK#~%op(5JWtGmY3XaE71P8?Vd?IBS=7|ysJkwT{Gz10UQ}sgmpM|)
z8|x(dkTy)n`fv?eQIPp@a4NmU`ge!LZv(84C2c=w&r1{-FL)9u-Cqvm`aky#z_Bxq
zfis)0-%m#DQH9xhb<4o~CDj;}aSq0=b(I*=usV6pDvXfV8A(qa=d%2;Qb~afRRRf{
zQbEOGgJ)1dRT`gNa8VJKWY19vpR?V%syYc!IstW-(vW#28H`nsaSR3`l=UYb+f6Jj
zl*o&!ax@kxsKK)%V9WGJs5}AcXPmWDA>7pgBW6E{RShkp`*M`KS%jDgLgt;;C=a<!
zVTElllonY{tVTg^@Li|q?__M<r_9pl{p&KQ@Yz(jyWPIM^Vfg%RGHf{V3+uoT?QLj
z7k>|SOMEjPneAL2WY3>0aId8Z{*F*2J2wgEZ^&IHW<gaLEi5-T&Cd&bU}76+{-LB}
zO=3>{i~9NUO(^>Vz(Ih@_a9hf`8SK~oUH#fi_7XdwwVkl-m|rJT(VL{86O*KYl&<Y
z=PMPSWgSVpChi1~=V=LXK$R`uAD9wWiDVXw@Xn}6IGd{{Ta){K;iFzLVU9C3SkoU{
z+}4Oi;Bh@Wz9FSSLO1OZ+P7QO4;`Qxpn`ryPb3N;e9vtFEE&xcKDqCB&>#m{ZhQ<$
z!{!Sg9q7rQ=tVpe^A~fx+jY)PL?lWcj8qC7f>1n?0FdK6<v=JgioM?_!r+b*o1$6h
zZW!qE?&z_H7Kr;Wr>ky!Lmqj|5WQEb7p1XF<sfoYAO>+c1wPD?hvr<~>J8OEeahM_
zz<kN&&vdo3ox70a=XYj2R2T8D&nA3Jz;hY_nWSv5YL7Ffku=@mX7^t0x=gjTygDO#
zifFN}({w*H2Vl{G!)N-NApH;)sq&!8`NEIKQ@Y@RGv%^81G|<}z%}*$O(7;hP&ido
z+H`sO3vS@kkFni%S8H3~B<jz8J*6blQ|dYb{#+UwQ!ph|acI=L{SK>+T^w-op7|y~
zg8FF?QmbhQ`~+yyrVM5;Hv+WO3i=GBUh1+eiIcYI=q{25e}y>PhleONfuRQxAV4F%
zPxRX($F1)lPmy}v81GXL4M=~GXbX6DyWdLIU`^XklKxy38zhVyEA9X85Wl8`&s6;(
zeILTpq{I2=4N*>=#ktCB-4Ulp71`u|F2Gfujqg>_PTdpef|KMIgL9rKP&o@!rMM4F
zp{uPM8x){|XlR=P<jwNkwtFF%e~Nzz-3D3hOi-sRs=83r@r-0r7%u~+T1_W7NM8?+
zxG+uhuONdUU`kQV@VCS)I!gMZE$mI154W(ePXo3MDmw%&v;3q!B>``CE0B}-Sb$2+
zm+Czx(uT7*)_k-2`Szv}Yxkzz8GnyAzg_vfSbd8>moDX^t(Vodoz1hRFp=Pub>581
zBPA26nZ^=#Susj1;?Xsm$}$U|$R-jbsGDqN3y7qfw7b9gk-zz1!2SROUC(|CV>mG&
zqZXkx^eZ9H*7sJhXNi+9p;9e>0TCgtaPwBM`=H9Vlrr&$R{H`tXkGmWsr`o(h=Yys
zzm{6Fx~%Oc2SWF!I)o02gr7t<Jlwcu9%x1$ZAU0UriZ*He%2DLR*~d|8~o=jcLI%4
z3!)$!7DintirL%AIc#W1L^jIYr>@U7M$2w0KAFN=;DFDlr^-e1nJ+taEBUL|yJJ8I
z5EPAJ6_JvE4As5H)>qonV~oylKRS^D=aFGMMUTwS4)ny@lU!+{`mHy`lJ+?IB7LwS
zDj+m|JCG;Cx3)I!_x(v5N<twuPkJ+&8bF0a4XzOB6kx%J%~e1JvHWP`xn7D=xJLPy
z8pp*z^*5^06TlUK(JKayr%)L7{+AlZ%>K&eZCmYV#RLh2d>;0ImuTa9BD7E)D!DlW
z4q%$(`q8?+_SBv#1=4|iIDrEBp%)6m1TrFl2YjH_)0hsp#19rRr-4Oo>Il3jIpGAs
z0ADw)pU$rfxTmk&5K)jY#EBW%+MHz68L7prKT$<w_Y+X2n=?)SB?KiOb}yjJclJ+}
z1_b6e9>^+$%eV4#yq3R+D@4ByO8*shVnaK4KVE$Hi4_D0=RBb^Z^4-Pcgs(^N4Gh^
z_*L2(!JLM}=Jj`sC;AR>;ho?{vRNq_BUr=0g+qCISVBTQo6@8qOLMjF3MyjVkrA%U
zC}3{Yp^jzdwaI8Vu)J}p$DDB4b8n~?f1cI|g=Vv}qPTN+iYe>_62|rdmak+xGbgId
zzW*|JbfIeJj?XA>IokNDP@Ua0El@_uu2<FkpVZiHI=$OdYQ>!`+h#ZI<kiUKudgOA
z3fr61<85aPN9#FWI@w;|;}zCoX+Jh(j?CSiAI_&9`k9;5)6!q9)Q;Yto;J<q#@fx?
z&cB|1pOKG?v%e>k!>2BH40<&^)3%%bif!6kGwQoHw|JpMRX@HORs!z#c8>>?;Ik{Y
z7p+QKu?dBv&8H?8w*>UlDRX6Y%;l_?s8}8?Y%aKcGOV5eC-0k+=cA1~yd+1715G;{
z<sa*Tvuq(&pDee8C63!OaMLZWgSYk{`wkg#c4Oj1B3oiYipu$MK&G3DHcXh|$`h%8
z#~ef9gzrzY!=g}<2^{qiL$oA*X_S?J^r_6`+L=#0S(JO49lR-V1RAJ)I3>PjALI)^
zFP|@XpW%t5%NxK{l4!^Xt?oN`XER+F$LRqO9t8g_R%WJue;3)<nEz|BZvP|J#eeFR
zQ}wEdxP`#&_1JZIk~nh_Y7P<7dsq&R@JOX%Nuy5iA6{hcdmETEv7+KUiJ3<?mzV3S
zu6r!Q@;E`e>E4^|mDPC@cnn_sr{6oo`o);w)rm%Ho-xPm!yzCHvz3t)=#k_wMMt*o
zYwIhi3Jt7j1VT0K1|Fl;?pSa|_p^tY#GUnEwyAlAd`*XGoLE}BlIo~xW}5VR`EPVv
zxn2_dFwG(ND+KJnK|r5}&)ykkjUOj;)06HUWws@iJhNyPoO-m8H4w+GomFDBm%WLd
z=i@s7-TVaO5f1EnigR1I{k|uEiZLsyRQM-Aiu=JV^7MfWBTI&p0z?z5WI|6B@lY?%
zT(GPU)EVI^Dh@qcTI>gNN3&L%Mt$Sx&}usxSg~qDPjdkcSlh=-j(2Kk$e;Xv4V~0w
zq*N4$&K<x_*<VH5nLTS`qJO=MK^&<8=W1Q_%pGW3h{a10OF>@<!Mr3fV3BO{%JxSF
z(*Zi6Y=ID*g1FVP&@ZtRApHk$!M65CjEg{GlP&6y8Xyf+{F<TaE)50Wtp_;ga)MQ@
z(X_c@=h-yeI+xEh%?o*3x*~_`rRDft#`p1)w(_UXM~}`<tHr-opTp2H62JoIlz@oP
z@u08k4|OvasKqU6(L^iG)+PmF&D$Pmnk*U>aCp%Cw?VfDK(+(GuiCt&c=>u07Ui7)
zD2TZBL?*|7oq;gm)!ye{eY3V_@PEzAj(05?23re{zVp(>C3i*rK-Lr3d7be-Q+rSZ
z2LUa3S9(DG&b_vEVG|}57Z~Cva_KoRHVugah(qJXcwek#HMhIol7&y}gRR%`e+P|U
zi(Om@g;b%m8UQDWD9_#+m&x!bdR!%Mxs?hjH2(wUZ2!ib^&j^C&-(u^%e&QNZ8QJD
z{E=GCf@)o<Yd!rtCP^wfS>>A00oTF7yALkBOyVlw59M!9WWS#>cHq)mLl>@TNUJS=
zU6cbMWM%aD;tC7?s2-2l7VJUIHFcS4%F?Lw$)<kklpY=jS`+|d2$ld4P`Qf0$*e9K
zy0$_MYJ7qsU=|6X`%{l=!GepsdXKA5AxnJ?3hF(6IH)BCf(Zw!8uG8dj0Zm7GdPlo
zEz8sGjd-Eg0EGiFdm3i}C!Mf9=n6w^T~I^tepQGGY~|0=@5vGdfCBX~TcQEND7q}9
z>!7HE=X0QBOWHTgX(f+Gx}L7-4VYDOWkXlF#TyQ7pfM__Jzg4p0!dV$YLlB}CX{;Z
zq+MkHxP#Av%3i32pgU%f#oJx4137Y<+$&9&)Em3>%_P@1@=)&}UHkNOb4vHKheG>C
zlY;dYzTf7=l-Wb!ppqFGCE*FfWL-zdHI^AHP7@saT-P_xOD`Pz&mvTPLyJHAirNio
zIfH(1G36f(LMj?}*h;yTzvb3RVvTL?<oa41re40==LVs$fz>d9xG;g&Fpoc%Tscjh
z!F$z3$K1uL)9vC3E&lg#7R&b(VQLEza5bo(#j3PWaK1R?X6bm^)r4ws_-mt$LZW$5
zn$Q|PnIxwfn3Zgf`PHBH)KeSXlj%l|5Zt|j%G_>whu2|ofTt*+M_;P_1=hEJcR!&c
zEu>)n%^1snDt9^mf8;%C?Kc0key*QUp-F;aHJ-M(7mFbD!6ndz%R$gMuloFyhXfzK
zH6u_cBN+sVlp41#r|;iPUGoj+LBOvcW6=j&x<BgzRM3>(XT((u;^8*8XAZ|jxqYka
zL;xWZJ&z?IgQ-|$c719x+zrY({wM`Y#VtO1duVuTp-gN&?bxcVwx%efP-t%O6!lF2
zCUUAPpt0>Pz8p+<PBtg#TAf$ecq&jjhWNRJp&IK0K7BJmU=zNXbiZpTX%VaCdl<)n
zJ0=hZS%KV+AodqQ&`)XF+Dwe2U3zpTcldn1PA=wt+Q>M6Q&F7)bq*k9A_$x>%pH3y
zV8USrCm<gjV+rPuD@>s#g+PMaF{iP(^|_hljfQfEH?&+{3SqUIyLbl|F`ilj7<pah
zf2k<a5+17)Y0q%wravP!bQD_DD)|e*+y`bcCn`>vbT`gzo(g$@73!8F2#%RUYuFND
z9KPcD6(l80j%%c9RyAICusEUD*@V$B7D?od@rrLGF;~o}c|_tz?6NSO324TX8fQ$p
zUG9k8b-M$L9WRz^&(5$Hm{B>m%h%<PHqX{=kw*KOK5id?gCYS^OUi2~dW{qs=||jV
zd*b%L_9G`}5{-_(wLD&C&O6V!I+D4C!KSLWLrSY9g5YLT;%y)gkmRprg2N@+W%#<@
zY{l+%_rzBzjw1E^UheYz_<Vgh@sESK%-i1Z?PhTVl|OjaSE9}*ba&pbKX6S#+x{MP
z_mJ|tog}A9s#@|@7k9B%PZGH*PBnWsYJLOnR(nGK2RvE-eFQSG|Mz%yCw0mJGa`t3
z`VLDJNknA3ec`a9NI)Xt#+TEe^RQ7UQ2@l>jvA}alS%2Psx!Z=xn41=H;`Hy3A!9i
z9_nrk4Hw5Lu;oR4Q!}&yY`3Z6(ZMP4K~te1L8Qe?`YT2a0p8>ejdsj~HM{0z3C;#r
zhZMKr1ue98M^cnHo)RW09TU(IA~cZLRVk)KzX4cyx$u=&H5?{UoF-Y#6i#0_JGa)5
zbLyfVL_h>KgIi8alhE0idJ457<I(?K&4KkFZ^^T6Y}M>u5N=re0KG=`T-iQ7Gyjd%
zI{_nj(_Q%hT=`gB`LWg8ZFrI2*}fsR96i^zKSit%Iw2J<rp#NRC1U5W9;b<Ll}yD4
z`48dc{7>Qi?-QwJ<xZPH2AHj9)S$+-KvX4oDJ>=x2`Hz(d$iLCO_B<E^@`+Yuj(<{
zeRipCcLWh6F$aj^gjs<5n)<%{s)p?bU`$HbY6{r|aZeI`I}(8~%ivcJ&N}83zI>Y{
zJvg^N)obeXKt{>I`PQ>{{O!@OCVK$Fp5ifyiE)=wUeFPa1PE^Qyp;MT#teWv^aYdH
zxZsX38&Ygw8^l>dmn2NF@EqU^7OTN(u55NfF^QY}xVS+Q+V=`#kqO<hOg=i~l`j-b
zJwG96hxzLsGWvlER0;mtSYGv1Qk7Och29PgA9lrisw<(^i(3sjZ!n#VAI_7}55VOp
z@lI#?O+!e5l3Bt9i>X68zo3!MgVp~IFzbKl;IK0M_xv`iOvWrSplqK~S2fs^9DLxK
zp-Bve5!DxpSV;v}t-uOeE8(R6@U7a5H67<;LbAO)PkU!wI^slNiOg?C$$egOWzsi^
z$siH3ia*1tMqy0Eu_Z`UD0Yidf7P`P#?@ZBVg_>r)2Z*~>19is3sULiPdZ0+IrC9J
z$Yy&_Vi1&u5gLUV;FM3qMPN5^8qd>%Mk!eqVa{XCaW+lv@Iy~6f`7fnhsPqR0)$>l
zbD@xKl!=T+s=Md64OF83sU@amaP7w^U$O@HLvGa4+@Fx$3eNs1Jg_@a^``v!)&rl*
z-UB<+>dl_X@`z98i*#4*0hpIGL=g`_w>{&&YQ0sogZ(~>PLP%B3OlYHmoQGrNgs6d
zmj6np1+?0ZxV8=~iO;7f%6SarB4+3fpsb^0CZP#cmQk@Sn6mQ5XYIMkO1?QX(J|Dr
zN!EJV)5@m~^Sa&dOvvflEkA-_Wga?bV;Hnee(H7xKdNlrN!H(%5i!ZM5z8TwVS;6Y
zD1IT2dj|X_)w4#IpaUT$Nx8&&ijT(_^&RZ@neH(<A#@O1ec6F?*DZ7UxrpHPcYH{|
zt0R7S9)N7#vg(2K6fD#Z=jP<`@m(eblp^Aw@YZ1Ut#T7&;nVcz4;~^l=>8PIdlS)}
zk62NZF6iLwAvh!=DdE2%V*B?Y$VkA*#=!DFKWmr>IM~?#?;SG%!~Z-W;ACfH|8LX9
z=q6AV><uJ37}3a1<$z9*Rv~*=T08=QIFJBg`%og<;d}+{h|a~7gBt~@$j;7W@mbE-
zEXUj5+UK1KEy<pAThrO8A5-Q9%L_Xx%|V*}2Zl0i^0-KG6oNuBYltJzySqF4`@1_s
z2Br(4Eu8+}dLxF5!2KEo43#H67)%a~qZji;&~{#=Wqk#|hE8IDF>nB=2%umQcQ=48
z9v-4!!hyX40L?h?A*{R+P=ye|{u+!ZCI&NGj-i#A>-((VFVH%TdLTa{A|V{#AmE~`
zKD#hf2q*>M_I3YkJozRdP9P_JHH5m%SKnfN#8yW~N3`RUm#3#AAkKD&{=F8YDjWd$
zuuNP5>?^1cPrquw-alYvfmwaN%_G765Od9eZ9nI8{_Ab-0ekv=h5d+zpdlT6A#K9d
z{dRqa=K#2*s(vBN7$4-C&+<Uvd$s!je%gJ#i{Gf<+=w6_;tXRGP$x$)0UpA6EdbbI
z#29&mwG+oD$0L9Mg4Mprf-yC9qi%8F5C;$qUL;?NTo45G#h?JZE^q3-HEMQYjhWP`
z)I;~Kv0J^1JTaPZmbAc*4nV@&+KfJ{<k0?s)p(~j)8DJdTml9;3cJ4q*bqw_C$88l
zH#1uv3Sp7l8j>&cGlh_c_?fh8umpXBgTy2hKmeTpeY$EcTfOje&n{rU`yfAT{4aZ_
zmoScCYdkH0FM(@*_`VEYI)Zrme%M>MSErx0qrSv21PJ=D^$x%q0oH^HQN9iQ8U1X&
z2cw^%!d(C(Jh2bJKyE(1KR;$4Wek5YmgYb4Kk(J3s*5R#KNtMIYg2w*q@)MC0D7{3
zya42M0SN#gj*tN%AnyRaez;@FARg3ld47ke1g-S};`t}Nvle}&Uf!gEX?$rRsP}pu
z%Lnn2p~33Dh@Ft}0P!kE>Gyscw|*hsf0f^FX@1r7e{Dq{Zen75-!y+nzI?w3$ioU>
z^`gX&J34u7{IRa=(er+#Spk0AI~EwkFMppY+x_ue1)(f2-(E2YYaS5j>zc`irYCOX
z+rKPUKfBFi5GXW|PoUnvn*cccd3b&gJ-6tnLq|^spA{2*+xlWBA9uwk1grH|dRwE^
z1rPuN1_gI8cw&_fP!Ry$fbdu6v96v&BLKIw71B11Aol7x`TbyFV(vf1K!X9cn0jS>
zi4Xx=w{|7c(EF;t;Sa#=E`Op$@D2rj^F}!;dlByx%eVG?`$u`$egl92Y{q)?82mQx
z_3jvx7x@v!fcHXvp!rNgzM=V6Kz`A^rmjBdDIoS-KGD5+#tz}%^pKkzLI?48<M~;B
zICg&b`0;2N)}XC|8To-5k)WGvA+0+r5(=J<wDH~f#@lS-CMM3g;cZ=e`vs*9tEXUo
z0DI%4E`Fn0+o(nzehmFjc3fNA;b;p;6)T@#mb2fnukWALqS_e~a^}Bu$~S74<jXmn
z^{l!&T-}TDkNlRR*2<^S4iD&}3e%<Cj@PUAR6m=aHWl8cI#$Gr^Po<2&OywocK#;j
z6;O`Ar)Vx3JC)gFEuC3`i0if~pQ0y%tQW$wOxUh5e!UpJLwQB}JdEhbe|r6vO<rz@
z&Is6uh($ZeF|f=WQFkX-$#7l%(Z;C7!BaLDwq{$Tn2&*W*sm?Q&O)ch#nHhd*<^!H
zpd8l0g^z7r&@xE6*>zbOzabzVD@UcuXamnUHE6SRw%SR28%mNl84xD%#Mydbbthiv
z>2mf$^OzwD->65ePv)WK5YO3sR2}jSXur7@?u%r1>`KAkisF9{=&F0=&VkUu{fv&G
z5}4n`&OPthN}a<M&bufDhXuGcZyZ*jec8o+dR9T;;gBFuN*RjbSFFdc_{rZo4}826
z{r;{|4Lb@*e;av*t|I3*({Wne7Cx<#j_yCSKYuBh$juuIq-vdi>f&lw9l3SsHI@8>
zBmw8GA`BA}yaJ($7AWvOuGl_>B8%8!CYqYDR6y)}NQxYvwz-nLuwtthO`RNr8$_Am
zE>^LxmJ}UuZejxOuW8~17VfU2s4Z+%nmwUS63~dMymV0Bab)@J>GX`0Z^wl85PQ+z
zJ#?E`uO@WHOoA1C#jmq={Ic3udhz{G<;9^p+*WBMq4CMoV%T7nH$$r2SHN%JP}Wl~
zn7sJY9uAKWZXzZ1Ff@-d`>Y(U)n<BVLTM_V)fye+djB9(dMy97Pme})vovGRi=IL4
z4XJu@bBC$6e0t+TYQNZz?A<{8h_A(GAvc_c`X0~9HlOF@ENf6@j~4rORuAjzIr3`1
z_-m+I-<QZTWTqqiH15Q&MGZSM^}w*&X>Ukfo1&D!1K*IO1eNln4`fe#Z{FYT1ek2A
zeBK<Ec*W=X26c_^hM?IAv`5cRCKfrPhV=aBm?%NQDAfx=X(1P`Lp)t`meI|8W{z#R
zW)|gKjFD*~&&9(;6bd@JOb+4#UX95fN?jb{HMFFAQ*(E;V~p^Wk+8Q_ad^Uycy^kA
zycyKOiT|yT-V1*xc9P<DKvV=t7{&xsUw17JQtI7U88^UtR7c+=4v8pp!&6?DCJKYe
zu5f$MFyIf)29r=)<Q6age7eu*o|j0P1h<%Yw;Pqxrxx~|_So4_Er}yzf0FkqIF49J
ztZ5e8T@ui8c}`>C^{C~l{ErY($h+%DgIHGbcrMjK2@IM_LiQzfJ)A=(7T?=thaMWv
zwE5KvQ24G_Q8!${1GotT<o#)=RYBK|Zr0gX#K?VDuy>t`Ue1zb;4QV@GJ$(--JrTm
zC$D3Yx5}v6fh;A3#{j&-hljV_VX%if{fkQJ*?cI`Axp@<)!%u>Fw}dQjPLHLYOLFg
z;W&UUA=V!imRPH5w%*$lGxyQD-&s91PLM`RH2FwhF~o(9urz7&8<mgz$<tKrB<Z{<
z>mnpF)}n&y!bkEJMd(kz+_U^f>cs0p?L_XqM5AzNJBknWwB%>P3rUraLu8uwMxw|#
zGHPQ-r1a2+SUJ(Wk~`gIQjTI_wi@vUKZv`FqJ-|oS|l+OaAE0$Li@o1>I|_kxj&F)
zPjdR2(~b8}2NL~g6YRG&qENg!o8!*u*bPr^<Uy5s#Rc_Y3MkeITF_Hrr*xPPsRd0?
z2n!?l2AC7Zd1~Xl$~|G!m*zvv>6uKdUjia4313w;M29vz@zoZVVM<S=s=TEj$&S5q
zqDqODlh!)7S@WN|n7<pkqmP%5vGX9+D;9lU28uU%*nYIM;EMEOp9OkX;5gNYFT^Z}
zeBOEj;t6V1hf_5|qTYj0EeJr>7}Lliw&*X%(G5mdkjEWG0OdL;OQqO&sV`f1_2<D;
z2*j4MJZe8wnV2rHX2OpW?7n^i4fb6vh=FZ7F;fX<mfX|#w7n%L``q%}lQRIrfBC|)
z^vvzL8EyO*b7oBv*zQq*pO0`8>b2o|=?yem8)Mm8`=8n1P8V154CC67Cd9l85_JqI
z*G_`kt10ak*GLQNA+o9eiiM13OVPh3c+_T>JAGq^F1;zs%W=8<XoVC5g@>PfEuB80
z?x9mzfyr+i6;N%*O@DGGZ|*)DYAMAYi5_KRX^!G2uZfb7FAWX3O1qWcrXJC8){b-%
zp_;N%mx0avMOl-~GL;`NoF#L0jA*3jKtM|xj!9aV&0-KUFH0J?1sw<D<BmffndSfu
zpUbZ>0;Dk}=fiBp2W+_l;q@-Is~*awS9N<cf!Vht8bkRK$kmVZIi_OGY%nWa81zwt
zD}tqprIlLp*FE*sc`l8GWf(PsW-s>9vjyTTAnj4Z3o(XkgDK&n1Xi&GWV_~!-?8Fa
z4dd`ZS405y7L->YCOT&dRF-WE<;aPRM=MUhcp{7ah-s1j0KH~s%lC0rjc$oQO#vMI
z0e3ywP0rn!1fiCUfW|@3)4wo$Z$n$Y{%o(*BB`7PO>von>{dTd8xrAa+p^--g#M+w
zss;?Z=jD_f^G!Z9=>NE4PPO7dMcoa3k0wD4A#o_^sxGy#27v4F%Xm5pzpc@0FqZt|
zD`&|sLW<_KGHe5Z(@-HseYow3Jb>YJO8d7!Ewq-nfWx&2b(1X{w3Sntf~k`k5g|;X
zKrj21fDO)*Q)^VJOR}J$L|I=<^%UM(j#|Btq3amIbOIU3;8lb9OX@u*$l_$gS^$CN
zly?JjZe3O_$mb)zS5kU7)%oY0K`71NDzjOHItr+(Q9o&)C-<Kw-Z98w&zx7~hd$=-
z#UW@nGgP*IsT55NRdmVz9z4Eu)__%^U1hj*Z)l#knwZiuCn`3q?$#};AT>WA&4seF
z2V`=V^IoWno50H@vMbGXgX!&R2V4vZ673ZKUzAt!`V^6oK+fHIUDursbt9+tMr6(v
z&D`4iRa^G=B#rV8F_HxBbE-nD$O5k?jQlp}O*dK#gkm4mLb0ip0G;9(AWj~IX3pmL
z+ylCVp($Yu5AZ>3OeS#H#S<FCT8Z1X^qfzS%%()sJTGmJ(&=ol)7jna4N}EUN;$H0
zv9Yw|SC}(y5NL+c^c;{SOlJ!?e#aZ(sLX6@iXe5V7Yi~!p-+2p736fzc#2-bC@sXp
z)Darp2g*0pGol1rrc!#Zuuzxz*K|pq@Z7O<gPHv)b0IiwDD9-)i#wIYIoYx#XH_}e
zr2?z+&Uci9$d@O!G9B0Q!uzOJq1-Ro;Ev1K@U~6lEk8K1^ElAXRq|boGE>eJdC~@U
zA__T!O)5%grwGl$WDeyvPQMbS9Yl*R!)^mY(__n&kU_PJov8an2kN|%h1Z~CX}VFI
zYD$q$A9u0OE5m6nm_5PDSW;VG(PqKD1gy?PDI;@7`C3@;Z6fwuUtQPYwQJD^1-jO`
z(udPPh8bDwk-oF&+&N<^lXI{N^f}lea6!tP>sc2ak&Oo;)%6Z$jUGsvcA0W<82$ky
zAQAA{D=tbp{F%dLysJ*O`H05)6N*<1<fGiUi%>oq5vr;ucNVZhDXp`xpDk2XFz&yv
zFsx69x}a5I#z}--Gnij=KMxBS8>tHlJ}aG1BsS>T<_~704>DnQaD%esyto+NSDgJ#
zz^r7?_0tKmXQ4-LtLuSjs34^M&KemxNe<6MqNjy07uEUD2ko!J@bOMBAr#diH4?9u
zb`kBk?Gqi{RTj(K9kd&~Y}iaMFj^wK<z?)J!18q*B<~O%YTZEzv7qOa-1q`brSr4I
z>gS&jwzrI*i67h05=JzRnQh3v6izF23&1F>^s-ViG&HH|rI>Vkv)me?q{wa1lyss8
zL(KX?3m$IVosUAO+MGb7mBtIOl^ariO&dUn2)OBdwEI-Z&FFk{E`{c=h0+zm3y(*4
z-K$vu#QJ~StV}jtMGprfo><)xlp<qBBg1*dTmnx|g4n;ioj(Q>X9Gj`-J)uM`M;QD
z;`&w<)e}o->_ee33NFbBc2c~??FWWMck8mARfDh6U(e_*MLhX9e7fE*pf(V8GHw;j
z)8}GaEO?biY(MMP>i;kl1yR_{dm)Tcy4%@MjktG62UP5p4&K2$L0vjvhOln#?ag?d
zrTe?;r61r15%eZvbsT*a$Gl=HIvTd-B5f++mN!k61+^M?gt+q)Nn!g!^=F?+DK!^w
zna1>3P}CU+{hn?7(}brJ0wtR@vQ7smFkdJ3#hB1-*jH!3{y4i!8Fqb~tUDtD^U(UP
zB~_NIb2!W*6<x?voogbocYfK9)A=o?=I)oU5qOe~b?^Q=@`;y?wNOQC2^aULo*ktA
z!_5ogr!u|%MkFWpYX+^Bpi`eRgi?Ll_U4a0zFtd}aBj9}l_cBNw${OD{TgYJX2e3*
zAwdKNFqti1j_I*oO%5ZfqbP9mSoeJz=|3B?@*gQLF46uz_<!y^wq92WKXlelq(lS5
zyGGl0asXLP&GHTb!3xnM>aDj?c6`#h^LzpQVNOu)iMBUeP2pmgSVMQ(Xd|Okdd)RP
zG4f%-79Y~Fwje|--7I#F0l!6*Gk;3O=&nCWp;-`$x9SK&2CUKrw_(_7;}&X5T8lHs
ztISy9tVBfEeF~$Dy@M!~OP|XKz9oa$p|M)S1^rP^t*crf;`F95$fL64lb$^sqO2>N
zV1rBA+9?LAh$IXH=APq-Iq9y0;DVPO-o;(Zaz3oW!)oA`={A2I0z9+K%yWk4jikG#
z1zTaBxGZ#7d#z}3RK6FMvZK#+&~!5}l$_b9{J3kr12$Jp)um6?YNtH%pu25f27GN$
zbvtGMgb(d{<nrd&?R;#AF~hI4;jfjmjoXY&#sAZ=HJ|yO?pw97Y5T3q<+kMUHXHM4
zR2#KDSnY8Lf<I~d>-OX{sP*&^#e2SZP^{&f3!|!sPKgY14ap6*f}x1-jBB!dyQA`A
zdfU1C+*4d5E_0UeF~XJ4eZpU27(^oKRX84qgdbH=C3!GQv`^nK@Kmfnez+L14vgyo
zAqD=|Gbq20?AVc;<T+eFj%!C-7Sf0Y!Ng<)7`4s(lCT|fj9!BprO53*#5nb3)uQ`j
z{hR!A3l-Mq;=rZg9d7a#{_=ggKFkLHNWM#+&2n`%HXY7ep0_z_J-Q%y_oRcxppKos
zw~t5LIl$qoPCam9ox*_A0PQceg8Btv>T35;Im%C#PcfdDR@Q4=aR554l*L9iz3iWl
zWECAIg>;S&yF_=jh|7WeNp<bUTgQkaF5p&^8>+%&7afH+rlx4LbXwzQlJ7tW#CSWF
z=>o2r&UTv>Ij%au$dGeCSkSCmn-P_xnx~5|uB2~+kkX<YIAs)M#{LWy@awX!t496c
zoYQu&?5!(nfakUO@f*kYH~Ir!7S6WA5hnv(9ubJQ%GWfDQ?Z_&{(8Nc6!SKr@w%5_
zaL;t?sGJpVEH-e)4K1V3RxlEc8k=$qndIw><F}w(0^Oq#m@>2AQ(Zd>z>z-ixYA5{
z98#<sw#n3Lwa0-@g|&9vV#ks1@HnplI!<;62JR(ACfG1Y*eb34d!wLD1I40RQeeJI
zM-6bI42CdNAE&~F<r_m1CFCEHPV_mJl8oz*1$L>Hm>m2^Dv=d*6+=V%l`#O?zDB$;
zQ#?Gi_(3UC7dh=wAX&an4VKh?a#4^Ojl;by*e(B~BRjPBb1vxNXx9(^k9-JFD8`xQ
zB5N=%yGJTk4iUywbax`n2zW_yMD4B%RL}MYu*QPLdg&e4nxw!tBF91jkifWfVWJ`X
zRI1sr;bYNcP)QWbco~^xK=2rX_kl`e-iK-|qn#b3-O7^uXV_ilN3Du8aeHplW=z-m
ztWvrOZ*5rVG2;s5{Nn@rP1A3UI6pH-Cq7<hs-z&SQw}&;^+#=Xl-VJ#<=Aca=lpZ?
z@x-Xq9%q54<voqey@gOspW(}j07~$;`d%f90Bvpm#q}lo4smytV$xBwL#Nt>y}V<-
zu2chhEM?z;aurGJ&NN%|H!x9JsG=a_gKyaNX?7*<rgPMlqNmPnnL?A)s(S7V^W2#`
zkeWKs_FsYb6Gzi_F)h?AEz$NrV7{C^dK!gzI?3C8Zd`IUkui1);`wG{#_TwhX$+<F
z_3j>zjuZMpts7SUS5$zAqvH7vzi<GGv*{R=oxQIu7VN9;d6}tg#|_PGd2wheYeQ|f
zo5^w>E~{qNZgC3oPI#+U6sMsI+3omfEr4tU=B&FDE>25SgeYC&!F>_JfjbkCt7Hmy
zvc=n&gx?=M1v3&2MZuOQoI)?WBqx!!V2RrAf9JJBPXV^dtS1hgsLl^A#ER8HB{9~2
z7NIed*{Dbnz-xg7zWis&OFzf}PDpmAy{dZ`dw@e+@XQ1S4yn3S>pfOk-3cxCXUfdK
zjVRF@&THjMirNpFV250)g#GAinXIBv!=-W22j6=@VKIKg?#}z)Ctw9=xnSJg^_DWG
z>P>j@3>-EnAtGhBYqK&gH!MryK53%z7_6h%1;dP#)sMc36vpN_z@h2E5Un>e`usHO
zR5dH!)b_R0KM@l9^+LE}T5N{t!97_KG-Zp?lq=>Xo`^!b4v}9n*%|l?@}b<T;iU^0
zxoRbmuvxF2<|M?}(0DR#7oQ&pn!^T6jG;rF14>L&Z)1`|dYZgtVC+X>jigu6exDAF
zi~VmDlAtYCeMzpNvdh2Nyn1wB&$&TVrJUonKz~pFamTyNf!}1V->Ic=MS(}j75R^Y
zw@H-iESm3vJxk#=c?TdW59@i^&rv%MZ(|q9`Bs^TQt^Own@X^;(Zl>`?>tO0^GMCU
zC1yOI{M4w4Z`6`zc2G3cd&tk<?w*6&r^&P~X$>*0VS(;u?N+Cid*|HssMgu=sTWfr
z6;&H}l{6fEJ;I8AP%XV9k29<K0&Bjg*8s18K?R_)?g+3<G7+%|`=Fo(2Vi~N0O#M!
z_E^YqK;rFS`*2abgsC(<obv#ZS}rib)?=jd8+KJqupI0W(X5r($<WL$E?hQQr;-G{
z&^<K*wkj{2`p@7^ptR>&3$zL&5n(F9E5r0)G@lc@F!xWk&r5f{>T#Q2Isqm5R9vv3
zCV=hUd4M}^<Rcd(%c(jn6NzVNsk!wHZ=`}2%v7jrc^x2A{ApobVY<xBzS|gad2i6s
zSYs`7XN;WH4K10@slPEzL)sQ=HzXg0C?X<0XsFQQ0xPae$K*z02Zif}{RGk?J{Kqv
zoW6WH+<7yVh*-IGziyk5CC63W4-FW9s1Y0;v?e}3s!Z=mQa(pB&#ph1YidYOTvXw$
ziZwr}BLv(O7+QacEKjtATl^mF@D6g&%l$EfC6P2rlh5|J|9}PCTu9ap0-XWU*1fI(
z-yI-B+R^KlX=u+|Nr&}Z*I)O@FvRxCdti+)&HpYP$qFsayg^Cy*WR_qVvNu<WJWUY
zuq~dea~VV1EU@h7$rWXC%=VGtSps#l<5B*?Y@CqE<uLd}B_{6%_+1aTtr`c0my!8e
zZ~6ZF{KYV-Q`^EB6o@RnJCRG`e#p{Iz{iq&(L5Ob^a4oOItPblsTn{P`O>P{xq(d2
zqQ<nEz%e~i^st>iXg*w~W!<5LLBS8yLhN{$!nh&8n0kYj`OJm4G8RboSVHumr;JHN
za;Kau3mLxMsjyq|1L5WycOY6Xf7ZxP`0!Kq(3#^C>~-)m6|8b2oVr+F?EVUa$e@*<
z!{5z<v<rI7`o6GJ3-m>6QXhDiJTl=Jhs&CpV|}49GBZ|1IA}>=xt4)T?p!a%{$h=B
zOLAj4$9|Z0&$?s3*XYBw-tKnIA+*L`Q(|rXjEaxg`87@`4S7xOg^s9m%0M%ilgd(u
z^K3*Wjnj5&CQT0kd95R*+H+_A{Y3s;68)!VH9qT6eb%E&uj!6imCE&;47^Sxh=GGW
zn2R+U1s=focwizi*eWz;vNIYm=%4YL_Tq`c8{TZ!H#XW^fJr0&k^4jO6PejQ3NKS{
z%$=aMT0LFsCIgWqCcBhQ>S|5w&D+H#n>)tq)YHZ=*}og9J+~lwQtM#HnjT@rDidz7
zD0h>spVc2V8_h4#XJT-~Uwulk*wZh!#NZn7qQ<L=4i64yHjLVZ*G)C7^~Dfogxt!I
zl|oT}b9XZ|&vr<=<NiwB=S=T4c@en;;SsyOiX_9sf~q*7gqT{5(uvI5JW&OJE%SeJ
z_4t2!A-zp<Ra|Zwj(EOg&n{H$iTUk+6_toALd{L|6Rz<;1q>%eBC!`bCe599?*u^x
zf_c?SS%J&VPdXc(<cF@XHCnfx^Ks=_&nuY7KpsDkxr8;W{qb&FP-JEP>#l??cWp6x
zvO^Vc{ZCtymKkBBP}@$d7I_bEoaYAQGeuC>(pH~$RD7(V$z^F78!QWjp2p)r$Id+y
z{;{lTw=IybXfl85>6>aGLEH2F9pRqMT6cu#7RaD923Ev=w>%wOn(3&+C?AqB`tEU_
zdXeUKsL;~U-rF)t)T}8i8{~F?JZL?qjKCkEmLZ6EMDOD|OljgV=wZqZa2~5$8{L-^
z8Q7}E9t`#+NC2>RPXI4qU2v1jJv1xVl*AR3kK!KbvAQvLC0Q-krpypaU%R}GwF&RE
zjXUPg{*K24a3QWJWKq4&IX&{C?n>kFsuPI#O44R%!w2xH;0a4s!ZlG~<LN(MXFK-f
zKV{D5RRTu$-_vF9M}C(_dA6w$M61aK^g?1v^TV4CiXV)N>9$nWIkS@#VROip@y5@*
zFEEj+yMRw&?w5BTE?qZ1(E@hgQ0(AEhtg<!oKx37^FDpvM-t`LI-hN@77_}kw&}u%
z-0=2-UOtUMaF5K?x(MmGf@D4%20Gm!H_*uymLt%rML_7OY^RS0(XHCILSm<%JkN0z
z&~;E^mTIY^PK@pZ#%s?QeeIr0dnXPo?HciCIF%Qz8qEe@#@yRQ9)T?(GvK;o5x0Xj
zx4CR*4a2fe&9C-6-f`H6cN63hgyDRAvCjh_HsF}AP^IBXZCfER6^(dZjvkhE&~~35
z^|fc;=MGrqp{e6$nq+)N+$_fcw2z^O#neCQsw$B^?Rw47(xA7n3}I$tw2`saOz^$k
z<9XQbr5a?{_#PBj(bW=a8G`E=w~L4VUn6W5H-nv&&2;0j2;;gq%WhqEIWk{+MU^zV
zI7I!OFW(U;)9D|IGj3wK_Hi0(ts)-~A=0!%q{CVOOjw=gXP!wYcgAvJ5v6Y?i;HzF
zQkSuBDDPdg!$1pHv|_Nin%&*6;rE*Z4$bmIQ;nxWmAjCuJf{P!;}H=wNBr%=#f<89
z+LoH%#{6PdS(-@<tGrIsq&?r&-;o9B=g)@pF$hf7v)`-ut+bNBLtKr~Q>$xS;eaDo
zs}g-ST4KzASFOy+UfCg7RaNIFD#A0(DEa(3SWVlWI!@#i4a{}8v>AzQgnhT#oc37u
zTJ_9a%ij{7W8Q*hRv=xTvpO(dL8*VRO*{0kmBtsm+o~WN&%ATy#_tB2fZY+5uv<7f
z1v|vDN*%q61Jt*_h~`W(`!{!AGHjP=nU%)j4hDL2Xl%>><~`{?L?rZfnImRHuoEhk
zTi&4CzQnsaNBv$*cPXhIM~jpir3{8wyxR<;?#kLxWY%o9_Rl}(YQ&GE+X4%LBZG|o
zVW(##>W}fxC3fo&(mjZ{cjEU}M`~gHjv{AVkA~gxq$!iO5WGzQC|tvLx89WRGekcd
zn0>X2?HUbEpVDnKo;upJ!{;c>;KW=;O~?8+M)dpD0t!#0y&8ODJi}fAN{vs3%abj2
ze}CtKoqLr45->or816O~kQ&R<bSX)>eLd-Dr<3?AtLxMt{+%GkZ$;}vcy_&Zt-AYX
zny17fyIVnSSb3e%%c33MlFvXt;?+L`ND~B2H_#vm^3%!V;(#4)L?@v0p<^rs{<=ab
z<^FCdVGX|;HK}d;gK(lQ0ewP>X{#TeB8biEJ`|HP-MMo{voL2U6Og-g=(LD9K9t5u
zksWF!M173fX>;?fp57)Q$V8x;C%cEgMk$j=<~|pB1qUYS{$`FYwd~7FKHR;JXmrYR
zb@t|zDP`t-K*12ro#yZ{(K+Q6!IydkUVR=Rq$YbLlK3nNVO5`t=^RY1s7n6(z6$Rc
zoYlm7_{4(8<8c5dGBSA|Toq?|WFiL7SFSpiKKgWh$9*k}g1nl*w70Ny?d*^qjk)}M
znJ7cOHlk>rsFXXu7hwzYf#M?LnD~K4WJO|J9Z#BrL1YM5X7}AxX>Dw#(d+NkRQy%=
z1(HSB2ODm5lCS+*(AtyCVy)|`=FCGsl#f*9cT1;B>G{viU;B@BTZ{S>igfszV-mNl
zq_t%Ykfe2U&2Y*MHDLMFPeUL!21UvjuGh6~Mply?5P5$-*)=dXx$z`WmU^_EIT#~;
z@UD7qDFRx|@q~RvHV@kD76*g-lACTM6^`Pi?bqbj%GQwAZO!5Ot=(*kcy@@)<|XU#
zSbk?w$jR4L=J8?V1Qj%)i@#2xL{R?7`{lQ!ibD?Sb0S4Ob>3uR?9u`ku}5%|PeYR(
znz-9C9Z89t!sn%u7nfIxwJh9?I{U8Y27zeTr=%va{7!&^)vE8|h<|a0gNN3eM~kWC
z_n3C5Q96p>N*M)eNyEo(ZrrNW3yH{)Rb8kl(=_|zrJt9XaFVhwCD(9RNf4=&u7HgY
zHCQlr(u|N=hF|89_zzf<zcXLVQ9gQ5Ah&wj9#nyIiNxVsx-CV@S=dxR%W<?su~KHx
zi67}=4PQZxK5Awp+?LDM_6lY*M7F~$tjUKoMS992;4-uDPBHE2Q2tczB$Ur-i}Hur
zTd|I1D3-GX>s;ch1sH&SvIk;O0<kpll~dwIi_MbPGWoIv<A6zCsNoCRtRa@yf-eYW
z^*bHm<?wj))D6DNYBk<b8?=JEh_%2g;^beyX7qQ9_wx<<pwXaf2}SEbBc>==ezTXl
zP21;>V*jb>uun;nFdz#dBqN%(X?max_vj3LwJ#GOSR#f)a3!bdxb{6P-i-8u+KcrN
z?rt)%KweG`sqIJWzd_10Y89Q7Fs#gB*{auJ+c87CK7v3z)y+C-^PCB5Ynnii=ezHo
znO<J61qY01Dt*TK`)=BogsJ#c2(Zvx^G4dYHuDN9E!0ptYUzQPeNyal6jKFMhPk@_
z0sSM^%(i0TQc~{PU0W%35x^JpZt|V-A+m@8U$p&~^rUlPQ8=j8`v_uxu%$TYrQ%GJ
z?Z}VCM-#|I_piFx*YQtR@z1u+>t@f*WTV70tGG%_;rK;3W71cblE}2T`{4r=_sxC3
zK3b{E6Rx$%*0ixwb+)@P+3@-yUx@?a&K2AP!ShZ;VdxhJ85Hnp2S%fjASXv@8p<Zl
zX#EqLdjCASL>d#_?t8SO#aE5Yde2+DPU&Hycd}85<VKf^F?%p=h7<ewnsUoC0H!X?
zJSnK?3*t(|7j6%)fvp9WHC3QoSr>R)f37Xu^Rx6p9zFaq9^QypYZr;@FL>AXc+7wB
znz8@O5&FNqW}N@mUB*Pf!phG0KL)e^x7Uo7jfwNW_L@0?^DOy(@guf}#Ub9uciXH{
zuX~!-a=4!2+{m3)ahQ-75|L1Aj*m&1n3#woHS}0$AWo>gWxu?B{_^AX?jGXBc6#>c
z&aQg&=GL|n<faD~aUtDCEc73SB``3kK+dtOv^E6^0#c}8!30bBgMiX9iqJ3Ff=kR{
ziQe_^*-QB<vOrRB#9J)}Adkx!@xU?MJp<`40LaKelGTC)11Tw#9ncfy<bjy?e=|t*
zVZdPQ*;C-h<&o`h$N33%B990Ae1nQ06adI5D(W71a^%H`A~Ha5z%hg%Z!2mzh=OcE
z*Yy!IP#Es@DutD`A&2isA%ykz@?*q210F(}t13eF;R`!~&*Xb4fbgRrabRFE_!}wq
zngR!c07|<?&BDim?nIx#lji|6^g{;<?0bzd_Hd9y0K`oKqkV|^m9s;={xeb+NC5c7
zg9`u_@-6qu{6T;S_R5P9Bd}M$W2a3377Dh-pi9xGG72FBLm&lUhx6bE@%qr8c)0Il
z7lpo+Ec3R*jWegn4!(DU=nHoiNTA;p&Zmzbwb~yS7szttxH3Y>dapqPCH@46`&1fC
zn1^r_2p{y-p(l^CgOC1%-C<xS(HbcD&rC1^HO@%@y_DW1dAJqOcYVI1hyWT?@WdoF
zP#H7;6~I0mCxrp#S@g$E5N_JIa$G>y{f-~DI|2&iVF=N$Ux3%14~3t^ooIZ(kINUf
zzdi#%xF7<cIto@G@b|bJTj7?Eegg<Z8bBYQlo|nyAD)-buOm?;O!%lf=uf_HuSr;b
zd3SJe_*-qduO}<Z9iRY0dqq)F6AJ-(Da07%1YnVGDPy3KPs_b}5#J0fJjKshikD0;
z*UKj*P<$>m5!4rVDr8QT4hq48_(hC@CPly(=qEq)kLTF0{3*ERk8AmFD=DrXeeEqs
zd~VclD8Q&;7m%;g*ugVt0(w7&ye{~bZ#i2T{^j2&Aw#eF-{%YD{i9%o(fsj(l%R3H
zd?x-Y418P}04R$PLZYqSzel0#7y5@?3>-<AJK&CYV{!kBuy>3Rh6$o{$F^<Twr$(C
zZSx)5wr$(CZF^?Fdz0O4vYTxG?{xjFK6UCj!TIxl@8i~C_ayuzd?uED?giu8&v%WR
z93Xg}^>#{)P5{{g0pLOTCZduPlZkb?-Dwgk{qBsw2n=xYB;f$Zh>`)=xd2@4nw*>f
zg^mWFamT0t5fk>s6z~H3{s<dqpWu{02*dU+^PC_b=pldz%lZmX0qs9wP9`CI9t;!U
zKT~AH&;r}QJv$S3vw0MauuteDYj2;>iP-(WfhIe`zr#{V!j8QfYrs8)e^QdWpb)?G
z61T%&^c1iHbl;$+01yZC60;Zo-NMIt;Qn6oCGdd+d3<{IbskT9f%f-@RxAfV0b=2b
z5vLIMP!U_UPpNYLkd}LsY@5`yz5aTf3^?qe*b9blNq6u-bDTJ?rY14B%6Mt7O663*
zR8|zzJzI=RdwWw^wg6aSY7$|>UySDLfT&esR4mlzBzin#ZhkqA<%nCp_MGW=>oM&;
zgyj}gojIFEQ+!8Gle68Jo7H6~IXI-8r7dC3!A4Ux*@Dz&T6uzER4?>gSt$p7frysl
zwYqOMGtge||FxJoB$KuTZkn2R$N~$#E>TzPBrrOOqE6FI=vF#<DpTUVg$=WcO_oLa
zP``titCc!-w~fP6Bn`WNTJk+Uofg-J)M1b_=!<5|&EVx8>2C~H)M%)S-$nIjOdiKw
z9BRMZr_g0Fk2!*{{`5M9IEZnsa1DSWW7dPR1ly$)YRw!0=_{pwDTROG?W_`u97qg{
zmkW{5xCy?R-K9KMJ1#V=%~R=KPSA6Y;moZQ6g-XVhV@-SouG*9tsMSZkX91EES$P7
zcd>DXS_B?A0j%`3xNAL~=?e0js-?eE)Ndf*cx^`4<xKskm$qS5e{U9$<*p$b{gir;
zid-&!3=b$M>)3;W@5m4FURB#_kKUmRYb1+i9?Mmk&Fknk;V1BFGyhw?eaRTu{&^hZ
zWNO3b|FcLVKm;FxXkORp)3x52uE_|~FLti2M{rIkGB00xLufC<=Y}K{Wx1z>I?4}P
zL|a`+GRq+8BOanfw^(2GagksxO$~NDTz<hUHG*~0gpEgjc{&}zA@!b%mE5DpXEwx}
zQ4k`|qw*H6PC0n>mUVI#<&;5|D(H~pqx?Nh&hAYcj_q14Cn_s-rE4=Ifj`+-@eKek
zxnS=q9cj#ZnMPv(Oe^|?JK+EuA5lO3QmbFix#y7oew{_4t!7nqz$F$r`5;X{O}ZZD
zY1hS>rwg!BmaJda-}N0EZqP92%yi=^c6W>2Bca9F{pUQG+FH$TibS)4^Cs&Zwjyvr
zOhnLR)=O{7)}Qk!m<u^nOWJ1%tZlce=qF#Mm2>b}FQE;WRNKabswEKBDZbpghv5Bo
zS-3T;I9T%9h=LcPG0&Z918G}aE`t8IK!3nGEzkd@Xt2!*2A*f{TGiq}0$^|6;iXGP
zRdE;M1A|gxuyx)Qix=CG*}XkrdKbF&&GTuyUKdxH`TDCyaWd{>FC$OctbF+|;d|x$
zSCd)(*=%5qHUw66?D5NQfXgdM^YhT4Y_Rq-vhIA2wH+mFNLLKS{j5@@rM$zg&RS`C
z+Up+_@M7fKF{l?uCcyeh`$%}j&sFLb!Rk_zkzZsf*0^5M0Nk&&<-gTw*E0pkq%!*R
zZGy;sZ3cGzDxPm3>n)RqUo@k%P!2{-XBeG_;va}JZ;z>7#jsYli7FW@FXhY2QLoUW
zHCdO{dX@nzqsN>#bS1jtQVaU4uhT*go36Uug(0v={s|8AzhcG-#Q9IQtnjmfy{aCn
zwMrba@~n*)%O~IG+*0XAWHkk`A{F={+S0Gnd$9sII<I>K;}a5+u%<u9%j{|EQh~jp
zv9-|i2<I?4X|99O#?uLTFeadbuQmiW8aB9i^l)kYbre)*(zi`to+13p4?;Qqhr?t<
z-`brCX13Tc`=LtRQz*j5Tt85932z*Bm364u65aEQ0z>COI@@r1Y3Sn2rk1$&Y7Ab$
z)LM+_@-9hXDwi=iO=UPqEHsItzML-``30fATHR_e>`gl3d8zYT=#u2%Cve>W6<<)?
z#D8!M`-^DAytWXDi?*+9%5~ii(Ouoo>2p~yz|w$6MM~U*)0a0VL(T@5Hc60+0sXP1
z(Losro)?ykDQLN%E%3O;KAZGV+)X?pr%XM*F6jybV$V0t3pM`CsLCA73Zo+YpC^=T
zE4QHE#Pp`q=(3rjHJ#0BDWK<*9C?N)DKi__JL-uUe(t+9y4ot)UOv-zC98){$o{Ag
zx)5ubI{!^d({JS(#FGsSMz)?fdA5CWgc>xvt()Zzi0tTqo>>^-wRVcM*ucc4`IV?j
zc^>N?)ld=pE=X}IPt<DjySDM;Y$R>S>>O1T6xy9Tc>K?&n6h^0^Cq{mK3{B)rv%A5
zi*|@zvco{_MClBZV%UIgoTikHj8C#9(J2F}(!Ph7_^DO$V(Kt>(3TdPzhC1-9QAG;
zY);O}J|997E97d6+FVWLxpIrNTc%yKSOmiNA_~{$Q2nE<5=yjqCPJRGTl#5fFT0~Q
zB!d7(ULeC3$KuP2g3n9vU$$)c_fKB52O%NdHTWi13wV5`SoLp&BqjU3gLM%V3m&rw
zI=6M^Nvz=U^K4T9j1-cHLQ{C>o?uD@AQM{gJZRL0toHWT+4*5;UU_U6|HO_p^|}P<
zCjtG9f;tZ{>GVg(|LCN0ka{WO_4|Cci3zmjZy*{ark3?*o@Q&ROE~esUQ!$|p0$fc
z9>seorrJZA@|H+D!;d=gmX0s_78*KfcCiYsTU_0qs-)IFq^3Yi!NRBeGrq3lc690O
z*``$%Z^D%3oZYyO_i7ta4wadz?T#o%#+K*c!y;hR9~#kjtn7WloJ=Elr(YN)9-r65
zXYEhx__J^{3u>Z%33!d%21W_rBA)+q0cMK>my%dlK)Yqp9zYV=U~&0wJjpFPA14dl
z<MfP0z4+coZ5R2sZ*1e1XRD;hXX`vWRWMt=H4RQwms4LwqKj`9!gF`=SWSygJ7?ep
z-V&?hin`Zo<~((_P`X^$H5CHLOM3-RrDlSJ(<<dZP9)jun#wef>Ui7Wba>OUgNXtU
z(jd#H)1RpC=^4kmQjI#nHFvgOXh_dEK#a}jNt2f3t9;egEBJ%-dEF1YGN*lI+>ENP
z+|*MiYmy$Rw_2E*!Ix3)Mza^>;rD!)Id>Fv>JjwOK$??VJgRb3vMB`B#fU!5wBNUc
zn}<&p73-FEh0%W1za0`m?Q;!?GVi(|K39owztY#izIWL8{*chyP2^I9Nz1H3dRpx0
zkNaG{1l=+qOPBFgIlsHuzaB61`<jCl<bWCYF4_{pO_Nl`3b*^IbzK(6f`l-oA}Od5
zP96^ho3xH`ju=XL(=I!a02RTFJv11g^>Y;2lqa3!Z2x8m(;Hb}CC$-aB$m>6$PkN|
zwkM4eI6EU?4An{jH?As`?sg8g#5e1ZNyRqidwgH7YoxE(u;(Jgc?B4^6-sho&r^e5
zJhH<a`wUATBu*!}{La5*(lhG~Nt>5tOEBZcEt7{f2{Vb|xO$%~%ld@h?)-an+ZxH1
zVeNHPM7VV+)Mondbql}pu*=7~X|Soz{6tb4qEJ&~52O~)IQs|sBby@#7MiLP+%6~2
z{EEkO$DUsW9NLP=lcK8rXjG<fteJ^d9i{WRq-`VnQ+v^JCXz4NSnPwqi!-WKqHaB_
z@6B)2lCWz5DEMNjT;J2ZbQmo6<Rp9)7qz`3IQv#x^vZpc2{~qro9$zU6HF%f#-jh<
z-(s^fSS`V1klYd@XAdD{w@R0__f6$mIPLl+01N-24VPW##0HX2F#jB66T^@!jvko)
z1+lIXuB!zzaEFZ;-y^<y!_0~ZmSxQZ88wNkfo)9IxI9n#9(9DrA;ai?-4&jXty@c`
z5Q=eXJcDZ|IRjCw8>_{zF3+mjK2tAeKuKoX2~*#Lq`3(Eu-Nz1G;IVuoDqg@CTk8>
zZ*OnIqk;jHUeA42t0<uUhJLMR#5$b!yT2uGcTN9_$>S^3Nxpq_`mM%hYetiQ{zjRi
zB9RCYu&S%jlrA-2qQ~eUtH6(OENix}!<h0*K5OTNlRKAg$EPVs9<EirlboeN4_!)7
z&cF}mB4aHW-1BTxN1f?EKb%}<*EJszrS|H|1sb2SIy7E71l;}9y0$~*G5<)CiqmAB
z&R~&EA7_WSYHZ4qDdkj1>EeaP_I6rD%<}$Hi~uOEayb^**0cPVfDNTL302{g*-fV5
zEG15@@IS|_=D<2OPDU12W|;MLXO=$|J0dSpTZ;6J$=}>;hin#f0c+W-J9dvdyYhmD
zCvGaO)*li#F5Q~8mRflXQXWK8uO+Q`rBnOXzHZSUr<9TN)u6C~XD~%bO@E=t%e;~y
zt`#WQr=>C#{<dB`L4hx^F}S`8^W+paq{9l%Qw{*hh0TYPPRVsNe`SL^KCA4U5GLs@
zzYRAeZI`M0tt*GU8k97LZxNCvWv(uV=Ii@P^G6iZvn`l-^p-g>V`+Um&Dt%n&dZU-
zWnPc=L>8xvoy0g~wT44py@!McmF=(a$7nM7^j$_e_&mSFxQgr+G%EKVm{|Xvx`I^B
zT=jCr95*qbT+*5~v|8||z1?B768)%s#n7pGIm;a1wsyPZ6&7zj4c@lJ*oK?#qmAVk
zs-4HrD*31S|5|A@He<}Pe6mcSFlk+$sGz;qR%-tGl5MJQaomJeZ5A_Tu522=BthPi
z{g>gv&Kj)F*KUo@)X<wU5poo!kju}QyOr%6G%npp)8CY0p=_bMC2`&b`(6Fpf4oCU
zlS}#OWkL-YBPbKxGe2?^+zrJ<bL(2<=Y!8VHWx_{PrbZf3jaw=39mcpBAH)Z`GY6R
zYZEg$yP5jYf#RMEo{%5#3v`fWL{vguV4w0kvj<LYOO_*VX>`5wH#3D<wburGC|;&N
z7L5VlSLR<wRDngj`{Cm5!*=T{n8i<(l3346)R0&DIcVFL?2qFOnSHk{HI2?A20v8d
zy{5y<4!1!r(X$z4ji(K5YEk0S&oy<o)gYAT?wzg=j70$!Cw0)bthB<GY1Cb+F>bP1
zr(x-LJ-wi$yJE{PP?{>93tCM2mU;y^&Tp&1ycGvg?ONOHK508A(Vv>IX;yS_zw(Kx
zqBv$^)rsLu&P!fmNN*_B7-z1w@!f3mSvZm#$Rr%1w${w?oUej202}i?H&JyyqDfmp
z&g^(@kdaa!ScJpRK`}=3Wd1EynI0#Z*PtHr+E1;DD%rPOyQClv@t;wp#XNX@Ad>u@
zzlok9Bm5KZI=PWL;itnpkwr##u>6t#?Ktu;T*wJEHA_!H9ObQX&8xzxGlch&yVcn<
ztu8<(u4~IbulYfLA{Bf-5X18LS_Fo-o#0m~g!=w6f@XOq|8~P0&4yqPGf(O`(?Ryp
z5(Jv~+hXyiz7yR&`k0wi1Ai6oM)+Xw7&trZp&Ye!!}LX0)~DUgNxF}<Nq-iEy4#|f
zffbtWR#3pij&_i6<djIlL$EuW+OaV5Ce;RUL#J9{MbMvNmsh(Pd?6hcS-YF1+BP06
zRqBIv*Q=0suz(x;1le0Bt~l6UGH?F?mvgSr3h7%!LH<m4*R!g8G{uap1dPlODIA<2
z5U=H1+0UtkomJ4gP;8^V?@CQfqA2vXFEj9UBO9t(->zl6FsRZ>i(T5taTM1LP-e-~
zP&s3hDu`V*dmgVau+Vk(=FW}v_A4JA+j=A`bWfB>x$TLn*WfBikzh0J*`%>g9ou?O
z?2m2_5}-c^J3)Cg$QKir=6q=$%Y}bX8J}BpP9mPAWJK8{^pA!^x1wV=uP>^0_YG@A
zG`Y69#XJPxGFKFN_|{-*Ou5k2@(kHE6a~gyGbf!JWA9cmk)DE0_BRBgPGXZL6_Qx_
z?#94n$+k@Ru=cOjivK-<)mQ^_F%;TMS^mJbFN9j|0RxX20=$g^I!Ga`oWBg2Ke_~?
z9$MEMUf!QvR?Zn#=?BH(h@<w5hI?rIw{E|KL}UYfe0t@S>Jw0LVav!%y=<g!v(<gK
zU!vH#(kysV&r!a5lZWRTu~&1-fhQ-vuIt*(tmns%<zqb1*nSsvg@C{C`+jiQO9hNM
zb+{a7-%deuNSZR_ToH~wIOlu5)Z1<=)p9|AhGW;U>QC~cwO(KXMP9{pbb5`NiU87b
z_PkSk2&cuXYK}K3jL#F>EnTlo66kNI3Tj~5WDeEIHDWZ7dsd+u_OL#yhVK>|SA6J)
z#d#mqN5pI?m_V8aeI-lzcMZ~XT=0)dDrrs$6w+CyPMvo{PpsMfl~e+Ka?9K5^nFSZ
z-+UsERz|{Wo9Hk&;m!Fi@&)AOof$ms<Qa<cbu&4>+FqSr?4cil@y_L|1$|80NT1Wf
zqO^g1xXvq6--xnSfwRn%r(J`^DA-Ld!aL~}L6tLX2E*<PzlZsp{r{pl|DO~BMgk@V
zX7>N7GBXh{va+)LFA4g87o8c|I2c&|f7SW_&BKXl169!7YNd^`CTO1;+}WXR@8X6w
zKY$wu(sqCs1O`dlzy0svZR2U*ZhUS3Rqaw&qBXhN`#$rT$wDEKs)8Xhdn4zE@Q#ND
zh9+d76Oh#n4#F6inHigynTh7-D>OMZfd0~o<<A3facXY_d;FOaoPw~pd8YX?xp}rF
zwSfbg=-2|%*Z`o(>7mi-nVA7lGc(WqVQg|g0P$gVX=VT(V*)b0667-jg{JoemnEfy
zmP~nP{&|8ZWGw<{czCp*|G9uitOMp$%ft!-cp9Ti=kIunDI04CRQ6P$&W}9x2`M~j
zceZofGck5_bunXYaWZdmYeFo}18>*p&;U{inCB;9&%@k<8wLb5;NH`l#Xz6{uu4;(
z^&MBfp3>cp$_ey$^{-B%KsfomIe=yW<^bGH09GzK0f>SVoYNb3^ue41`oDqo4~{?P
zIrw}3A&x^mmo+t1RP^KoGmbAonE*1hHG%@6kRD^`^5~ocjuJHS!^GO=-0c0t?!?sC
z#LDi%{#I{e5D*r^F!+(bv-6rOlT(AEn~RxKZ}C$w{UDz9OdS$1GkSA#6O4~w9>jn0
zX>tO}?rq&pJg-e`23+q5?)n2eQ~%5Oz$cm3!A)NlREw(>xRCeH>W)VEP0$3;1;Ck}
zp4Q>90mvr?I5)JKcoz3yl?UI?lS<_uzJu}U!M(->IK3kY=v6!IfAfdfogK9k2#8Li
zo?rXgi~19TprHX^rdCD|fSezM3b~hmc4wUbrvLVPms7(7&^>+IFa~7!dw9zu|9N|0
zY69Qz`ZfMN`(TQsh_t4xTKXAz=jT#X^o9>$2j*rD2uuma?0+2l=h(yl{_BoGYFyPf
z^`2J8GQN%1|D@h>XZx8KweyPyaM_m@40gZQfO5T8h6a)UYd-#x&Y3Q|=dbabC;lU!
z_SXmbM?CpwJO1Y`h*aC!>R(y$xBTb7JnE*_n(L3<4PR3=^#wG()mI02?w@4^^rxle
znV*qTwez<s)rHYV9|SQz_{wkF?37yn2#`ss*^#dG%S!7%vGTXhq)m;WFtNLF8E*~R
zfA7cgC;ir|Rmyg!9{%(t@mm4ZYd`B>h60|knf23PRE?7jU`$SKEFbbF>?e)`V4wP?
z%L456%{dG}CibsqstbBQCzrl|dl&K`9{J?hBQJ|z#GjB3AZgtn0i8KO@{m6w3$?%a
z5#9)xq2f1q9Z<&Vk3bF}Y1AKK&Rgcl9|1mK;+a1p_zQPqt2gNnACmhEABnrmpXc`+
zDruvS06GBj{lB+${BbAv!R|sc|BUbT$~#iF`gnd7wz{}}rVe(75B2YRK&JemyzKv#
zlm(L_Jkv+JXRP$?d&92&1>F_f{DJOaZv6+GQBS(aQ^2{K0qntl?t8v_zW$r|y|ww%
zzkIvI{Z;G(clPM(6KoZD^5^QGeQaC4=))TN)hiwP8r}G-%AmQ^`CEZZbvK&*LwN%S
z>imi39P8?M`s#Vk`*(N3y@kcC{YyRUo$Bw@OV5)OU4neCf8$TTF|zZk4|m6?^Z(V*
z^_R5Ylcpz7);IlUeJ`t<vy0jJ?aA6>Kl0zMwmyqMKKML}q2ugs@?Es+OIqre6rzuN
z*bZZ$Wt8rW3KrO%XqnoYxXC(6X4G`QYngUJ@c><Niml@%_5tZ3`rXl}*7|%Y$jK>r
zp7{_*%EXRYNGN1=@58roLZ+UO2M`$R0dF3<IDRYu_PE%+8)np9T<!L_RLA+-EpH+o
zYY*uZF`;wUq&I4IW5gV(GR(rIq8A{)8HJNfqnV?Gp$-PbfyDwH58v$ewp@{Ed>`V}
z@B-m`u1FKA$CXX}D9^N4O=@KWm-~L=(d9mZ&~ARLjFMM09?6u!oHsgZ^)syp%Og61
zIq^bSHA6lFUcH%$MukYwWmna<7}}PGTQ50aufoAw!5xVT>Y6bIR|1uh8Vj~qVV6q7
z1^^`d=Cr7~wjC?iOpP)`sz<5SE&#K{X6o24Y|gHHOI%g3urG`|A*JkF@Qd(PPH!fE
zh*u~C&9<h+2(2rzTB;{AgmS*Lju;^qOW+~~#j~`X<o4YB=)m`GU|M0k2aWc}^fcG@
z{LVfxh&j%lFP*W^)FmCtCYzbUneEQPbMS5u2kNfOrZOGfqa*Fca4eH>xiix+_mK0d
zQAP4cWuPmwAgK&Gwy8!;UKDTS$zdA@8r|0f^m++tm;2ciIPo(OZw<c3BgP!d<Z@P@
z(=lbzb+!mo4Bj#*OavI{+x>PXuFcNxH>Fj8r$ya^gW@S385c%V#pnwudAIBcf7g&E
zqpT7MQsKRwcPsX8$hC^>a_n#|-)m86X8+Nvh4?`ew{PS#IaFnk=!f2h@UKFi=ufCT
z=uUge@1Vv3`^#_jN=?+;vH?DmqM9)U(_1Rx1dKNL6)T<ogUEyG%B}N6H(P(_S(#Xy
zWEgqdM33#%vtRui3&1-^;Ua<U5ryPw+s{(n8fbYDk=_h3*6Q+(s8t$7C6n1_z!f<#
zu|lCqeT~gDMvyVNQoy%S<uq#t5LZlFM~MBZww~r-{BQ#-(8;XViZurN_W(cWGgtG#
z#2P<jXa)X&{57vLnW?;|#3@Dar~hG@`2MYis=_p>A8|&W$UkGyq1wft)VNRYuKxHi
zl1Uy7YJ}Nm09GV8n=JoSDC2xCwhtvx-AGxU@MCCTdsHga%h9V4h{owLD6#XATr0*5
zMh46@B!)>ld%E<xY*h#oKrG}PWZbbPXQifh$h8ES5#e#9C$!sQB%H{G+q6o<V?I=S
zz}Lxd<1b^%h=?SyJpTuC#0CcRul|yr2X_3;oV8Vc8k1UBExl^rzeYW`b9i-ib<GSy
zmI!MSmzflwm{1FjM_euTikr+W;mEuk)6{#de$#I~D4PpnBz$u%<KViaYU(M%E#=Nm
z42)(~F14CuY0a18=DQklxP|R2b7dl^9@jBv|DMuPUN=!UcBCDcA?}OP?a8OiDD&xF
z-X#g1Q`f;f^+zW7$BoVD65<BC-RvulNN2CN9RP?jo3Q~GB{rQv?(t!o7D`*qQB=+B
zBEd{KFPjNMP5UDTMqI@S`x*$5kld-|al}Ry!ky}<=_M@6lk7#Q<KtHO@c0r~7|3<(
zPF#*L=Kh6&@h?9f4xNnzPboF1XptnSx_Ryl#BCNY^{=_dl4@QKJ?q*B%ROOp4$Gx1
zOXvizu77@Vy${Xts5Q_p#}i~m8H@Wc@q4zHx*8^3$%;^@_G2+`-+n*?<+xpKWY;bK
z{MnV~k*&wa@wJt@bFk6r=1pD*`1ajM5}327_D0+If4heY2T)iEs0egkz8;c8ID3`3
z$9As*zn={cYxnXB%c^~y5SDzMZIe{@dW*er73|)LNNhR37hVX&mv3c&z_QxnKr!tI
zH(+W#`jejM>WwX71t<blo<YUoh6}t-<TR%pcyu)%WEZb`BhDbi4FahA!o7}5L_ar_
z4jSBMy~Pn>1F|Q9D9_BetivH~Rn^x8IR&WvolMq<b?P{=mBNzr&DxBF2D;OsWWOwu
z{b06|lInB&P5hQ}Ot+*8NM<vKq>BlKim0f@n#c5mTt@@-h+bt$?0@K{QtP(8+kq1@
zt1Shgu}A=s<)P3aQ=wi%x3o<M`0!eq#9_0%#uT1_21Sln<X6Y^@D>n!?YKmdU4K#t
zYEdVg#eer>m;TP)sDf9yjnnLh9R{Ol#yDj(4Up1?Bm35QBF7h7W%(zk=Hw+_FT1NR
zg*H=qSv_OLCEo}7i#AeuzDaHp5oy4MXe}Z}t)h_LZ>{HjLbVieHChKt<~ZRsz8q_V
z!d3!Q=Qn8(ci=S_E0ae&=BdD0FYX-SRU?ecxl2nB!=iTlf3!cmK@&3<w_>&D-@rlk
z5q!Icu8{QpCFPk88Vd(eub!;YD~h?a?s_=53!HRy)P)V6u4mhLC|ya7+9m0=Ulyf@
zrEC;o_;T@UMp#I@eHJZH8J%2w%Hn(rzjv!ki|qqXCU4Zkv9P?OIcbRvl_n(2PoiR?
z_StGIv^hBcWfMbjUBE%Mj-$;ZuOpD9ta~J<w5v}sdP>DwFF`~!l(e=`+)ZmSWl%-y
zky>(4WXR^?u5S5wGMK5G4b<X%z`Rd1os=ui-y0VLAl%s)IA>njpd|qcy+&Py1k+A!
z&7I{C|NA-(t-=rXQalX7Q2eKjbX<C0L93*f7#*&oHG7%DBxo`K<d1AJbpeS-1&mK!
zpy57358dZo&5~J%K};0He2kX3-^ON|CEcO#Uf08|FWtfcR@%YRfGx6-Foi<^?J+VU
zW8N6lrj_j!%Kj0yMjF<?vv)*Fq{@&r0~WVG;ZgFnQ{-s95-K{}QcZFd96ZiZMCYA*
z2~-v7O_W2~U&8Sx0~ir*EO~EP?1kEp#u6KH{xmDk$3+L;<Kqsm!*W9_2@<Rd_wcxo
z5)2~45@a)!GHNo>*)<a_>~BSs0N?s@o@7oVM!j7dvsUY3z7<^@zZT?!{_Lk0+>(R>
z@j8QgwZ}^Up01n&tat|Iu)v~8!ZSK&2B)+Nh*sz3xZsM1mCNobU7n;_{Ar?>=cwez
z(XQ)CWQrIzT(U#=jK;_n`52O99E8<8GC8b)=dB|(9Wrqn)jmLGgCb;3WJ*2IC;xQf
ziZes94kp2)G(<orLa8H;67*zigO=Wt>c*QBG?rGtQ@7MAa{q>UN@Dv~=r2eg=yFSO
zd{CDZBZ`FlpP!Orx@Fq}_qw28MGhm0qF&wVW+PJs_K}$WV^fN2VszE1Y?yh@xe)ng
z8W~E?v{_dy#O1KL_@lq-pN0d|K9BEGo`yUPj4|Fb;ZlHtGi!Qc$_{SL`YN<zyib_w
z6Hd>jFKhdqNW$1Lt$mtG0|U0Ng-TPF8j!4iO2zzm6Nyv@6rT-)qC95>w0=;l$%qu}
z71L+G0HA}lSvt8rN-}<-RDoL2JjoQQHlTP}BAa{RmCC;do_yb>XurxEh-cdhErNFi
z1kbj7+{)*7Y(p6!9bKNc<4@L0BQ3Ua<JTe;6jj$8g7&z^`*rb)5m@x7?wq#cX}BFC
ztXjOu*0Z}*<NRuP)%NgB73Qf?-M-~c`ikc4Z?n~<bb+vZ5(&%>92yahOB2J8%b&X;
z<O>K>SE!KPMkLp(DReM4OfqZT{GvIHGBGDq&rgS`(T_{c{n(z}IYSFO?K7t<YFY1&
zYsfxLrHP;UoNJNY+3X~S&d=I90j{fm&6YDjBksbp?C7tU7-WOHj=9be4kSiK!wI|V
zr4BKfeq4QWvyrdq4T2HaWN-s$vr-ji$1q7=ZK%e~n8{Axa5oATu=utM{O>G&v*jmz
z9ws=~lE0$ne5-dSn#X7&-If}(m#TaynYfQxs^hk$pm1P^=ba~Je9hX>+Z^#B*zRn5
zaD<+mC}V@Z2_R^Ix4G8pKziEi%Bp`)rVeZ(S{uPNJ?GnomOwm?PN~?CPeX#fAtFZm
z;VUm=O-2u{#yj-_Pu`^PZvGYfcj<iM^_g=mK2wPz&KMM%=fyUKeVk}@d2hGuCC?IN
z{+EN>O(gLpIhjrr+fT_H5RFa~EYZC>Yn;r2xuV~V`M<i?ffX|G*F@#oy(7Gt1Q**|
z2>sI4LbFA4k%E}77H67r#;W1i2W%b|JFZolD3ohOL{<XjL{>Iie%Fe|@4kB6(QTQ+
zzv7_FpSv4Oqn;o%UNX)bV_ZIch2&&c-}|w<BREKVtVP33NAk&;Aiuz*+|H9)vBwNb
zSNyO1aqSXkX)XO<u+vO*R>(R~^Z^Y1T%<)9zkGl-AT9%hEtGurT@e%l%;SWCiNwkw
z`LJvCFfhSsv<!z=eEvh1(I?StM3vbbw27#&x?TGquiuwCgtZaY0thlZ^|tD65zqr)
z8CUGGONfuuR|U2EQIwhRYN%<K!GcGycX80kGAS+hh+$)MnFNkjW)p<H4P?{*S^6T<
z4}V3lSu01Q?J0cr-ut)?gVEe{fOTw6hBc6yy#R2EJSZXJ9G`gOltBT7xD$}|XpAad
za6vq!Xm;`<1A-AMtBWFR_)QZ}(!zR4Hk9<`))IygSpmUQ+%v9mP&iCF`dRe@5cybk
zrl74y5tSxPvAJTGP_JtjE_-i!c)xb~q74|90h36ECN?F>#SP#|nD-YQm^Zsbmp0lP
zQNT+<4^d&sMdUGo3Zsb^Ki_{V8ED)A8m}(MRHTm)bx#mDr;u#JcKYWk<?3=raR59?
zZ6^*lAo+;!$}NC=%MT@OY#FM@4GiJ_-dA2Et$0Gdra1(Mt8eo^2jrDj3pyyaX4B=;
z1M#RQAiQIAgQSt2QBgUM*eFk=TX}twCs0kkzoaix)cfmLPLsHi^f1L<eqMw+wiZhb
z1}l}4C%*0HX&=lL1lSQU*u4Z&MF;|STg6l%weMOSGaw?%%%|AyPFQe9*_9J{;-Sxv
z1(F;;);jKG$(;3DUyfsr4hDa1l_m~NmK%MkoITGZ*D;M~Wna+u&bB%~!ESOpEr3P-
zGCZNK7W|MZTAw6DE7;oy7BGy4!u1n;zzbH4)%_f`nPBZW$5#M9sZAh`qw7iW(<+8(
zLV-9I-}}lByAjy(;MCpppvaRCOa{uZ(^fy34T>Y*GsHr0HaD$<)+UwpM+P|pSN;gJ
z*)sD0EWNequ^T?th1wBQu~`)*xBUDcw#tb%YJ6uqGSn`yxE|!DLlNsFc+oMO8Tc3k
zU^MD^)S3fXCM)@;*4^6uzZFJrE<1#7T~fNea*m@6ZmloZWycmSJ~EC?RsGqn5dV6Q
zKs0lDVY+8dxMy-v>y}sE*hcnqO)s5<^Nsom3qr)Us*XTlQVlAu2E^clN$l58P2<()
z+xB57ae1ROUX<HH;TVXDA?s{`vttbxEaaj5L0f9V^lgARPPE3bg=pO{m>%9VV3ut3
zZy{=0&q_knd%@D<!F$$O${Fy?x4YXFKi;+&3l(E4?c9B>@HCrWe8@%*r1~d+@_m`f
z)s$DQ-8IbbtArL)h7_29UwiEmO71U;pp}<l4zI+X$5%lI!Mr_Cr7<a{?=O<_>wsZ)
zay=tK<4HLWj1}qId+$5GgBOAZREmnPY4OM8(|z84kIc$(Ey>566NuQH6Z&0kRjAjL
z{%TipZmU)&o{}h8Y{`>_2j$t@x*Hax%|z;{K>t+*fFPnT!;is`>R&Kgv}VRgKZ0k`
zw2gYYnESQ&4piJ8-H(qR`3c@ACegC3674y*VaU9fU=(+O9w0{Et>Y)3L6XYme6JeC
z4idf<iF6J%&#sLnmIw39UM-<@etN8_znR@wbgrf;;qEp({p3D;@5-dUR&i<fi5h_W
z@wX>j^)P_s!mC_BGM;Wrtqa<E<qaT_|6(q&&rOgMA4TId4+0iL>_jy{pcGZKB0kuA
z>fU<f%#)9byyH7{zgE{C$MhK#eQ3d}-oiuipNL+6zJ7Z8Y;&)DgTiLDLPNR6Nt%K!
z5P1`;uR~p+c<YLj!4`-@v0XdoA#pQ|%PPSg^9trpVL<}LSVdEG#w0q=scnJhNQY!@
zhh=@iJm(Hs9x<NjC5N*`qsUALU!-bpuJ-ygk%z|XeHXy(9kP1bI+`$Abt6Bmw5T0^
znPB;|cdizlSqV#CfD9AcLJtRw++cV8L#y&zQ-39@cwX3!`KWRUo`n?W%=dLQtNgrp
zIfHixeRx3D2_k3l{aCY9%CFla$c&m4X_tWS;SVjpXKv{19)ElN^K;mxefDoWNLc;E
zwa-=0=7j8cVf%d)3GdY?C-r+I#xxChut+L4F3d_+Gt*3g?l6|jDhG<&2l(9f!i@aq
zWTkj4a0<LL*HiyGYR1t_$`Y7m5}K{+B-du8%EM~A?9gbM?bMOX{@Q?V{w0KIaHP^k
z?!E)>hqP{nmFVRB?DC~Cn_iMw_kj&213MDevZD~(wx6olgD;Jb=Mo{+)9XX!hWOj>
z1}-8!H_rD@9|5ho^kA)-Wi!DZ64@tf4%g?a8*-at<(-82Drs@K_+`QUF+5#)7{D!W
zGhn<Qu#j^WTEt4vr!bKo-v#8tCHne?WkVx-^Ucd7vP-<jw>ynHI0HmNh(|)Cm*pKU
zj~KO|yeC(HgmMjYmi=TmEmEbD#<Ud>nGe1(48y3^+GquF7s(oVdC4>i3_XKGgKVGx
zXQZu3Mu<GNC4f!`{%2Aw9ZfK^=IMHt%h!La8e9VIiw$MxCmRy-zxgQWBoUQM)geR=
z73hiF1$9Nn!XEN4u8>uC*&sC1+4>iheMEhwR!-Hl>URmtOe%J!GXr4F^=T|p-X*PZ
z8Ya5cGJyq*N&z`$M3CTZFa2|bAr}<vVLI}E=5Xp;gcigi)%-wLJzeHDbQ@Y_FNi)g
z9XWmd7Iw}UqXtqwY%>oRF>t|3|EI{}#i+U~_#Yz5Z$)3YP-QH|c#fN?-^rSN=DYl`
z1LWcSeH%jf8kQ#dRhJyRiZ>v#ZO*LEMD@Ls{Hr*TQqJRXBftCDMXv>f*!MMt+xWn_
zOVEt?Tb2`av~$Fv^f=~jY_nAp&{$OJbi>s8xSt5n4BFXO37FWy2Z+Xhi8>8i#io3d
z$OQ=Ar14z<In?y#dHVu;-FO`vTB^?xKzja9iJD!h__{<kXAREil@ZmvK<$psovdar
z(2#RX8D7+^8X~43>Kdiw(j32Y@c6z4VY-{unq*&0BCk1m#0*p1WK;T%;wIaj=cbXq
z{Reec!DC4*tG#|RA`-r{3cpHKU5%r4yA>nS0I2QFG$vB+(hZ8B{+09HM3s{R$WHjn
zn!tFvkFm|(wd75shXObCrmkcC#TrfMaAp~unW;DkCveJM{sO_6h$;2BHUR|!hbpTz
zH>&;m2ttuJ$%EuZWVB)S!zgI`(ftOn0B6sO*sVRE9FIr|lv8oy+*kxt0o;9+n)#ho
zD4be!N<@;V%fTy6j}f}ejI2a{vz-itCBrL`x`Hm1Jw=@33bc$7WOVrKb$NUQSiLE-
zabTtX6H)_p+wE;Hp74u{21yoQ4#&ld^mTbQ6?<FN^8>z*(1htLMJtF6yg2d7gXNv<
z<JRkG|Fx`I0uv5jDAWYqa<KD-)u;J7`T2!k#D{VVe1D?K2~8mj)%Hy=^64i2d?y0K
z0ChOt`e+S4qSd+agQlh?bnO|CUh*lmf=zQG=yhVtWHhPMa?Tl&;uWLzx=Fht1o(Fo
zdsM+HvMY^)uRd_ngYaD&2wwcGO&#!;wh(8J(het9TNGNn1Dt7OR+5%Q3o1|V@@WIa
z)*}*<lK&hoD^R;Wd69jppR<y&mu$Dh&B<O+7Z>exg6jrftZ~6%iR$KzeoMya;X;ch
znP(^!nihv3^UBmgK<gIL1m-T6P$~LI42z%yVHw30f$F(H+@(s2<dh!jqk%)9$?O>U
zU2k~bOFEFY7LqXva#ambWXSXD2uvfYbrXGQc@DC8eOEdzpx?8~S$d=ayoHP#SuRI@
zB*)>5o@yD;B0HqViv{oWr(6-+6zhiWX@oKlQ(PMR_zM3MH{M!`Jwu@P@?f<0QsfK^
ziaaI%{>?F_E=!psP-st;QyrtG@&Hxa$@bv%NZ68r6ZLCc5X1%F{s{gf2>wn|gRhrJ
zFSaFdbB7An2C@wi7<(=OHdMmO9#afnv!1k#{!Gexp%win7_T!z8Q){d$8XB*MKFvv
zgzjIi2b%sFUeHA&#A6YsUd@X4PO73tP)7DCcWKZTG<B(a5dV!I0dk#X97nD3j}7aY
z7MF~N3K7XuN4yfdK;tFCxAE}!feWr|!d3^mcCD|W@}&C7+IQQ*p1dCKt0LsKj7Hek
zqr=`kq#iYaE5U;ehnKJXB-w(@w==ZnN96R6cQYdw!up`xYPvZWIbf-4+7{0ARLw04
z@{F6^8C|zJKaLke^U?ZaYgGD`F{*FsRc3G&EcXTlt`S3}>93UXvAA#GmyV8Q$bIIW
zc+wu1=+`BCpKxwzdF%$ZAaIiO_@FZj6E;c|ztS*W18D`1op5K~+;_?TpY|<7%5$b(
zlv3Z|4Hd!FYmeU2oZy_#X{;-tvo)#msg(=6hODeX_CZZ$*c<Q9_CW-tNZ7eH#qo0u
z%eT&uV1nABqt+=<RB_u7nRFJWL6c^~LDkBpm!LL@%HI3U(ODg^H<a^Ofo`sT$a39D
zzUF|%b1SDy@?@B{C>=gqN*5)61}{5^2ARyj`yl^EEX~5N8YI89JO0_u%wIjK-&u6J
zdltE$ntE&ZJ|T2ff&scNrab=y;qx<vU|L3hsxxG}sLY$nRE8`3Y;stksK>lv><F-3
za!?W`h=_A>v(Ik0H4iNFDz1d>>#=8W{y@Fuc6#y{6TMcOL?2@aazKs18Mb&r<>JGp
zYW0c4tfJ1q3SLH-9JR?xPgo)9G6sUQH!l{7B$OtbxF^}8;_Rnyxt-v4?Xa5TK~CHN
z&x*aW%wrM*a$2?tzb?EcL27bmv@k<8-|;~6hAhz&-2kzn_Cy#8bAWD~ZWvw4&j5Hc
zG)c~{L&mae%>r;K?CkRq3s<`afm>CHQRf6w4G8jWS>&@%>B$FgR`8ZOdJw@ZU))e&
zvQ@$FWeGd-tfG7CKiec^d9tBm2v5%gIwAH3WQ|8Fs}4nMH%Y0-nk3bMc2S@i&==5b
zK<RB#dXOwiLtz)mA@MW~BS&lld}}qjBF&nGMIZBL9XXDsnA%&SEEOcaaEM`H6WL9u
zHh7aQ*OJs-`>=yWc<C}&Ks1QZXZ`&$lnVF7%f>MDu%k@qa%MjPq{*`Cgx*w!B2_|R
z<R<gfpi}7j@en-LSjUkYgpxevo@MzKG@Ti6HM$K6!y@<5$V6Ps;vDb`@Et0H)9|b5
z9`BqU8pnA;R%=Ivjqo87!D{Kp(~5I_HH`llE^08EtTuCDTOjJsevv7}+I_lqjru*!
zjS)l<G3261wSZGc;LQKUo$l(RcZT8HX@Xoi7K)P_XSt4ExqdrWXBj~MczXYrLm8B|
za;*imjO=Q<3Nc!kzC`=J$y??GPp2$pYF10cxCDVLabWESZ$w)=E2y%hcVbBDA$jEM
zXFYu@ge8Sw*F7w@mduY5n@9uyb54i~k+s_!64qo@i2W9=I{1MZ_bN0q#|;(+AUzrW
zx4@VE$}Xk<y=x?)jAO*P#%|^>T2kw36`nmG$1_vadMZZYv<<ZUU{w~CvB=2gb0B<K
zR!v`~DnbaX?FZHh%nAx4D>ZaQMBkD|QnHLTQ!I_Vy-A)%r(cRN4s>nn+v_M7pWclV
z87a1*j~Spi#u9vHzC+?8rsv;T)hJtLp3~L>{esjV=5?w&SUj_DCQ>bP@U90!)=!V{
zGuU!(L;U<{dX}Wr1T1q?Ber=M2l$^O&Rfwnb53Q{^PqBmX5d<4Kmo|vS1r(&#%olh
zXRCqS%e?Eb`!k%ZHXV=mMy$txDXPE$ZsjhfqH|IHl#TJ$yuK=U9@g(6kh?{hi3t9*
z2bAVnre{cS9$jvQY#(bhrey^KEg8v)gB!G*H;$FD>y}r2CC9MaMygh<ZpS<sgyG9t
z6k~}gN!JB$O9uI44Ukys?VVE#R!u9OJ~=FJH3kRHjVgxCjCH|GqqH8)yQgPB@UhK@
z;DvA*lhsDjSU)v=ML_9UyMa-}`ul1yuEHGtO8a+(BUR|IV@Up6h$aG8&#ake8iuuH
zn?=<mF_%Gg25Gc!QsK=4ajuQHrEpryFMTeSI?4r0V@>BoK|$xex}}hOs4_n1Qn1RQ
z{L4>$uECVtX?Ip$OSv9p>b@HD%$2s%a%HF?<zQWnWFv1vu?GUq%pU~aG6Juew?$C*
z4^cc90S{?Q1~i*<$j~q_##TnX^73CPCQ`~aYs|!Vqzz(ncHju9ifp+2-b>HUDF5GX
zStv7Emk>b3k!U|Sp>yMlF_D-X5)YOC1<2SbeHjDN4JjLpOt{^lDlz3LZ*hbfzlSQ#
z1Lk1T&1@=$fR#=3dir7d&+&5u5DP$RLld7tfP<Vl9oZ<@lc@P7>-#LQBkj=JWZRrt
zpt*tvYqlD#5+Y{7EeAn(S;$p8vc9tSaftSq$Ui3S7IeVDE+ph4)|Q*C7Gws%K04Q&
z^0@d2XE4u#2A4yJfTW_X7Fy|Ro;VYeEFaHQTiUl0M%H~`^t2w`iB;=z!l7Zyt`sIy
zF9Y}>)I+S`Uj^0AmikQa2q4Uc`ri0S&IazF1Pfn=GN*uEFjhG>A0`XAf_sieQtmNc
ziO6!pem2}bR3@m;fsj$s0k`po%*T9Jxm@n53ECg5fu`}@%V*L((6LTj;&8e`%95wv
z|J;}4v}VxKUTHVXSD}Nj$0D&Ns?^i9qR>1==We41#CR<;8p0vTtKe^v$z*4kUcard
zs;0s79e5raY=oOa166poLCx}AW!)|xJ|hf8IMu6xLyqprc~q&ih-zTk8Vk^w4rP4C
z7&BK}{{IDK?YCs=UF&13lCLdpfm~Q`Y2+JRwNmH~aSf(LOHY6DkU{aH?BPuF;jwRe
zk+&L-`QNb8cp82tCYt?nf3)N?zk_zl6siw{$I^d^%UV=Ai|wGn!3$4<!Nl_eBfqJ{
z6Kjn0qc7;7v){3a+S<^i%I0*buE<jp_FjXZh`7kE#f}MB#aDdXAQb2AQ$ZZll~qPM
zaGT3AE62(q-qKQny-+h8&31Gft@S3JZ|Wo8e`DF|?hHcDH&s2JDtE{t)i28`tLPYp
z@fC+>M0Qu?Z4dcC+uS0N_6Q%Do3y`Y01|lmR@TTST0T#+{Hv`TQmXIy!dY|UDjYhU
zIl}MKNWG8gmtWzy!S=5ST)ON$M&eAo_l&gXMf5>_fh<-(%{a08P9LP4LrA9vj^fjo
zBqHX$ou2r^#mmk$^IPRWB09wxiZm8J*jF_C#CFSs+0?FIyIiji65j%(>aWk8PCfQu
z%)?EiG)hX32;V{^w@tzI7OLv1QSZpoCUpvoEV43{F8mlI$3#wp4y!iX7`0A!g&?7v
zhoVQ+f;Up=x3a%9#z{o(mP(?6{1dgCE!we)SN`WvM#D%SC^ksQ`%y0t>u>hqf?g2U
z=R2^=EM%$Lo)ra#rSTucw{Q7GV4`4on6!><Y0#<c95*afFC^TyQ~0oEos#=4O!+8u
zfRv7|vqYU-Ms`D*_-1kNKQQ(1m#IU6yLCF~4mRbrwD@f{hz-ic-AqfeCGf6I^RD0`
z@*BqezVkmu7Nbk#WDCMN&vH55eL#v!({g-py?q(pLDR*_u9O_iqf~Rv@G9TP$<2bM
zx`3pF+m<ojV$;#e|3dVbCC_z_CL~vCCoxmcLl3eCUjcH1Sj`)GlQ;a07>3GI6W2!#
z7FZWTO7Mt9TJYT1%I<j|0Ic@VH%WyLXa)E*>INi}M7#?XGO#O#*za6Hvf}Si%I5HQ
ziK-yfxtO7>eTA8dTjZOmD4Fu@Ps(6sn8oQ1vUbcWbQd7vCp%8X#7$~}UGwhE!X@<o
zH8aTm-kFQ<v~@EEYMU9dK_~({S=?^1Kr);*T`-IC28_V<^JzVZIkwCTsS);obkN5E
zIhD=OSCDvD`gP!y=AYB_7bBsAisKhPZfCuq`(FeXbG2?-t|)iTW{C$5sMDJa`HY?S
zIBRDh3NlQ&(!k!vcmQVP;)(P4X9J9WTb2r%XSi;^+yx(9d5cRHe@o7g%IcNddlTgm
zaw$_Oy6N;p!*<nH4VK_0C7l`mFw*-S^bdX_7w8w`w?fuqBQM?xA?OQ>wLZ_Dz;4W=
zE(mXyBs-<U=z==?Rogog<d~c|ju599Xb^Nwi2=STLujopju%yRonFp2ZDiXcuwx&p
zSGSE_@(|D{4hk7WnxtFG?>af2ePiA&U$LMS?7`2$!eY%dR=9jsQ+e%CYORTgY+lpu
z^fE2QyKqcM8@FeX<{MZ^Q~Fsf_j=&wD8V>ufGO=MlLTUDu;TrB&41g*>t$NfQ3qja
z++&~oM>EOu7zTbLSv=rkg=sq!Uy)7<&$u-^tH!Pbu~JEvY$2bG?F!?7x8I`AX;Vv@
zIqKd2DBtAhG?*50Z`|R~Y?2}K0e3etht`*V=9$zV4dYiqYQ(5=_KYX;#V&a~mMvy_
zG1~voT43N;G)r3t5PoDF<qkgA(Ft#a=$IG0P=TIJjq5eRI#;o%8QM_A=8m%dDW;(F
z9*6Q{N{Cp;XF0l=swV4Rmbhb&Pf%Z>Ka{v$4Z-CwEyjOf6aQw#nLCJz?0nU<XwbeG
zRuy1|WAF&kibx~Zicb7Yx~%P+VMcAOmS3)Vh6Gz9SF17ea^r)bt9u^H(hP<mnKE<L
zz)pHrH?KjhVF(Jzwt(ymYu4hsCOA#%`KNoD<<a4<;_(+2cB3h|c3cGQ?d?L=ygWfX
zL6|cxU_*V6rwzhfV&GqmC_eSBLKT;2xhz8Xt$o|101Gi(>8zDG!bkGl`jv2hvs?av
z0em$DziD|RW8U|alFCa|S2CUl!CNReweE_|j>qdkOb6aohpkg`OmUYddddk!ZuS)%
zL1kTK>M;RTX~%DnmU6w$?x<Q^%Qy4uB%AACWr$k(`m(2bhW*L=bqNbCN;k@-G*;PU
zs?j;zAuAYNYIc|n9FWJo+4E^Bv7A7J*aHW@<#TmRLO;NICLr-+taNA9m|_l#D(L!O
za<EIW7L_$ASa4@qR<L~|UP$$ZBh(OYJ3m<nCa~Ms>1p@PRqmj^JFNn*$_BM%{vu>c
zSCv`BdfY|n2SQ*d-S;8yPqmWbzedi!g{;s2=yS7(8fn#iZXxG-Ue+oKq1v2i45Mj-
zIJ7GS(-ksm-vtUa<EIfsUzfy1Ov+MmBW(erwL~eNF}Ax<X`gEGJ2#p=38TsOKj4Qn
zCTJg!Dxa@QK!mRGz>f^eZa)h{iIE^_diI(!AjPjIeL3rp@Xk2Hc>!^(mjpRgn$#;d
z4+&hJ;ulpmt_>!44d}TFXBWMOK$E5>$%bdr62QQ>VD7+r+|6qA_rUE=5d@V%lGQ~v
zMz}xIVw<tn&IkHWHdHZt=rj%IMfUFRus}v{)xxN`bvmV2EH%>$;9Qps$&$VW5+_ar
zaX0?GG+!ahi4IBN%_4&ON8`InYwEtZeAlr3^C>~;nBtmu?+Kx<`$m<helg|WSRsL;
z)0tR1F&b|)t7i|rA**;AyQTY{psbT7K4X@Y#<FOD0|$2Wlo&lrPwG!;quHDaeUlb9
zV(E<Mu2cMFp*HWqF{U>Zq9u@NO*v5b-8|RwC)28=VaWv0)3-xmeQy|v?{3N?kw5w3
zKqH(Ufgh;+|E_e!&Fr^1ichtr*P+j}^AU3`T2t*2x-RF>An}ksM^Ar6Z0q<FSo0zL
zf`EmBNU8kwxzi9zr#5MQ{s&{{6r@?uuGz9}S9O<d+qTtZ+qP}nwr$(CtG+Iqrz0lj
zpP85wF_Zf$^EzXvo_8%!P7rQBZPIfDu?p(ecX4&!`1^SulhDTBGTVW#3Xca)3?trq
z>K%3}*97djL4BJ9)Cw<MBhUH??$L1d?qQm8C<rf83?5=r+vQkW2Ugg%JvhGS=`~X7
zzUHy!h#@GJl4xv4yNaw`%G_#9j4HU(X}-|{Ec??;pZOiEn@o5vzZrX_)qU%lLh0QJ
z*sE4pL-jX9m=XzvOq%(mES$G&Gq##07O?EDmSMw!%igjf-pcnoK4h7RS^n_LnZO9s
z`??b%TyV2|)k!xSkjPD@EB8mBpT56ThzyB;$L?KQo>^xWLfro9OF%faqZEp>daja<
z)waKY6TW*oQIB`js?waZ77#z1!9Y4G7!sO8d0dQrjdW;>+_OJ`%H|&>bG<2tr()I3
z$BmBTjGTI^P~##FKr6lDLDr&K&-=H&n?gRo;$`vPJfUt)5L++wl68rBBLH>no@v;o
zOk6qVll$oFo9J$b{R6CFx<6mItsOjvM3tv`oMx5>O?0_(+iYs}x^S?ShH*46vNswG
zYr^mM7zV%kW@8C?{VE7?GRaNg-*PhF$&bvYZq{gY`&$|c6ZBy~OF+Bcz?wxUm&2N2
z$)vN;T0?&1_gu9eUCYYewTVvUEcUh-F=C=+pq`wVCHM^+@-*f&i-<OZwu0D0@@qj}
zGz01vr^&eMQ*F!PAiuZD7!5A)kp%6%Yg7~nVb|DQ?W&DAXs5f-F9t_n%Bjw7(~@10
z$f?PY?^oLpB2AW3tr5sL2O?S;nM*LUFsi*dU6nL6Jt7bI)8Q(5-d|t13_>@!9mKSP
zZV`O2lF@tI>aez|zn?kYNcMl_`JV{3wSFNVv?(m&qmyO!RkC25cB^1ezRy^VtWmn>
zEB7Zj(nShEimc(}C$QG;QxnESP9hQxr?+LI=zvI8_v@mXraHadf)5p7n4Hf>w*#??
z9nn9U=O^D5jHq%SA&S@`8{c>9q(2-Qk&}4UfaY@+uVQyNOX*kI>T*zQu6;wi<RaXy
z#;{y+S|jJ5LUj%T+1IVjGjUX3QcAWoE_t?@;)fB>?PfKvN@B6awj$vo`HWt78A}xi
zWbjh+B9uecjO-g8w^Zt$HK_iU|8tPFinH2h>#16bjhNWUCWprXj~%i*2gh;3sE-SG
z&phX<r6o4Sb-UowtmsqJMR_>G_)(+$4nj$<Z&bX9^a8bNvN}4c3}g1Q^1H+IH=9WM
z+u{o6v0SZZm7)#Lphn2Bx<Q?q0JGK0JoVgcjnMP+RaV5!+5ok)vj#`_FtO#J?yi)>
zgSl7;{q}>4%fDYyi12R4t~p&_lC%Eh7j;wFS4P*<$_V-kwIj3ooMtHK)f-62b73eZ
z6+9X!wZ^v97<k`Lup)kIpEy=#t=mSC0K#~u{EL3p!(@`_F;8n$WQl;a0W>PZg>9}<
z&EspeosXM>QlPfD(>O+A&s635Tv^Il7+1!JmFcnue>@L#BNaW;ZA1j0gt`KC?!1l3
zBfz4M==V1YcQ*8)b%D`F&*BRw<;}6sqSPLYFdQwC&euoTiiYN3sFg>}FQgLMiHikl
zqIrDy!*1uyu1@hH^%q)yxt@`FB}bTyze#$4vnAkGLZ;Cy?H-vSO=r6H7^^!JRDW=P
zYq*VxEt{?-5YW|zgVu5O+0##Cj@dagS{6n-rbA=l_w%Cn_N!=>yg?A#UY>-f`nw(b
z!1xiwxU9S7mm)s&?IzRD(XM70k|TNajH|J1t8-YM;8^QcR8+>Qc7s|h_?&Xz3rw&w
z-LLmS=7KWLzkS&+t-R&>L?4zL={^#tedF0tq&4KnQuw<D5ADni&X*trdc}V98FCK!
z8)}*r;pzaV5SNdXrp4G%Obj@AWN?>mv$7}Dub3!QUf$q42ke!x9i6V!SvFQt-1y)~
z-O$|J>XvQQynOmOY(e2L*k_Kh)^u+0M6(u4g+!lI1CUDV8}C!^p0$~z;b8F)At$hB
zW~)`V;0QZJmSvRuFOZ%GEvpWSRNIad(RMVaX8(0G?hl<n`E`cDl9+Ao*z*)Kmp&aU
zv{WecA~W>?_H!=kI2m~wmYCks^yO}R9G7cl)8Pp`5U85te{>%EqLjxlG`^PiJT`W&
zMaEg{C%lV?fVzTv8UBgXSE97?wKnCxi~OzfNC0aH?VMB|0>BYi8}UGweJ;N+JN?}G
zm7F~~#(3(bjF4dy4fUahaFCwev?!U^l>sKB?6#(Pq(Sm|NYL%WDe+mQeEzJjLY22%
z={(F?ItFU@P>N9^Oyje~i_Pwd?I~c~c`-l&&AK<)j28Uy(9^)2WDLA|6{ra@a<rm6
zgy}wpR&?kq)8WL|iK?;UHD3GH969u8yUp1i%&gELak2ZMs-Q#FCql(1v=J{h$N)`-
z@H38EA>Go5{Km*Cng;^}opLc?wznO2la?I^FRHG^lSGae<@DkXS28|Lp6vyVDcTeH
z0ydOgbOX+?F<6||Z0fntKah_ga_)9y)3YGGg)!(oK_5PkKPB6Ku@Q*dN6he)Wi>i>
z?QF0N6#mrNt7aF@(0ar|(c8Swz_*Nh%|WKid;o5cFjeI2b5sex`j$cwXYxZy-pMP&
z^81Jd`o-D*^Fy8Z`eQbDhc|^PQqLT-U<v^5t)IJM$UT}v0W{!9-f|o%^;-ool}b9n
zvP2QC*T{-G5^IsC&#P?25OgH-H=Ig8d(i~Qq<J&Y<P(o&?UhesGESAoxC&!A*ITss
zOf<ZySDNRi9C=C`$_J2t7^EyILNDbw#qFfPEv5>{Oesad1Y-9<)X_VcAg_`cx}KMl
zpedP%*)ZXiIejEG?_Bl63n{pr2wfiX9upOY>Mojm-Io42&#^UGTQhU#MG?8BL@Wsc
zT#W4$P50SkqKHjky=udAt8sh&(sc3-(&I*KCdthDcq0TDpPBV|Mm%%^Ug`a7Jv$we
z5-t@(90o+ULwl7-nwiY|L_t8^x`IS<vSA4mv$ih@;4GIM#Ux%uGOZ@V80*U)N9WZl
z9V)ngoyelf)Q?YlIR@-!E7^CDHVJI4S9Kz&F<URwPB_#wbCA$zZp&Fsd95p*$(_b{
zv@gc=EWPM3$!dxYwJ6?s>0Sy;HyabpN)nsQ(9e=l7&r<hyBjJ64BCiM^>0!MY4K+W
z-dis7PgbY^2OKz#mNU&m#*qb{2HaC=WgZ|{gTgSf+Z;@nb|HzxbrBi#zDDwStW~=>
zmMox$L>h*aC$_rfs8||hA)QhTRwmq3(z8$rmYI^VsjOjkMPSL}@`0*QZ|>SamHY9W
z4tTX|S+(lTr-}RTgDB=|JuKU){JKWAQ=p|7>Z#Jd9aep*rCAeALu9M)yl^JOuVIP^
zr1>r?JYTJ#pzAyfhwj2bq_Z|>*=5;H40QcbYxe?jkQp}+!s`=U4&?IP`)E>c{>fUV
z54h~3xT$CIpIaYIV0K^8+l1f8wD3AI)ahJ%ChGf7GpXmymvI<u5dYMm^b!j!KgC-l
zwGQxow;GUx8fqJcHG?~gWD@Cz#foUcF$4!5J}2&P0`oVXEFUY3s)}I=#uYkX;{x+c
z=K)&jEcNvCi%C&AMzD13T|yMV0$EYFajR(|P4OVOk=W-Gi@rKH<p}AH>rdZ4Bn3~5
ziZYIPg2o`{q|GT+N7lQmZ_USGc8(#u+z+rb2hwP>Z7i1Pe!Q*QNHVgf0_e;ndgm@@
zs~@i;lUd2#zTERV!Su6F*yo@_G8PDbMJJ-$%48gaidIeKjt(sa8=13s3-wS(ani1Z
z?npH4S32nxE#!VOBcC5uXa@LVKU+fzDa@Xa;>o~1)CmpbZ)9yH@FpZ(3XMBXtyc|O
z(Rn)+$=pZb-|Ob}qCRiCs-c#6bj1Seots>p*2LX^F^J{`Yif&ABnVw9U~RKDv8_{T
z7h>%|t7p4BQ0TWPVw=Ju=#tkglUvf+3<>9Ea#FI)CGb))8xkt%z5^1;Z%6h+)5=u`
zZ3iRvS^LDd5kv86wK9;TG=Dm6!#kMK1<`&9A<*pGbm%jr(ZysAz&hsBUyJTmR%cIV
z*OB%(N^HwFVlisA{NT_Nxr`!aI5-RgGE3L~=q7IU9zZ%Qqoir#8^+c7WW6a|`Qc9O
za<_GjX?0!p$L6NM1<l+hz3yVcl+0=@8a;J<Q>LwR`287OTD9z+nGT#~3>C`dpM(#9
zKPK9$LGJI`x>OF~y7W;xNPD)(*Kxs<<n7F<x$JVBmd_u5QoN~sv4sOR8^n4aY>q#x
zlUuN?S$I(6dCkJ^*V3OkU2gtLfl}Ad{b1~~Rh#pU8SuzF8Pm)1{a2-B7ZBB$0+*5s
zzuYZxND{?kx_`#0xIIggY=X{3|I2jrf_U5*M3vW|fjj<<i;S=1okVqUT?hfZ#4FPT
zQ8J+;xA+WAaO3_PL5{W|A1Hj1PBMM(Q2s<0>95{uRO#>KM#c;_S0cK*My}?Xlk`wZ
zN2rG4B91#=j)0KhDW;U1*GtEGX|8z*epYbCTm8{e3ezn7-v@2)(M9&uk1P73HCCzk
zsa)*!{<ZU~m=|AYn`CHBUt3eFb1v+Z$U;4x2t2Qeck0-`-Up@12^XcjE_NP=(<E^-
zst?#Hij$Dmb39Gg-C510pw^sPY~)4#xI&{XZ4tyBLneKrLYYe*8k2~^Le)AF^uQ$I
zH97A{w9`GQ?`cy%3i}!Y2ZT<@Jby77v^XgML~2p|HUBWJ3g+w-))jcajMGMrabXL2
zeBYG>Z0H$vz?@DQRJ10lGtDIs!Gk?Akga_dgPM+{1V`&>;j}<}5b-o8%dMRwcoX<(
z6)n_j`1z0+%ZMStQl(q>3o!9$o{VnCS{O154)jLs%$`t?^ZHoELbPHN+?Rv*+6b5l
z(5WPKl8gkVrrgXrDeEPZi)7<CO9$`bGEDLg{Be8B=X4Sr9>ttY`x%;M#BL1dog6RG
zlcm>s_7L9{lB#}Wy3Am>82n=o`EjC~^!!a<H)3w2)>4&V?+dy>pTWxAcW#Dr(Zu#I
z?cimu1rvQ<Fw?!b%%N1e@9iG`YYa=(Xlc3zgc8%RX)-{MVxeVuAmNv{!JyZ+NHJ-Q
zX=fd<Ylc~PJ2j@1J0FQvdbL*t{(AeBUKsOy$#meKq@!*fak6a`_-Lk0bq~^Nv!D>h
zj>Q~VgVP|w&45HyN{r9uzvJx%^GcUbx@b97ju{{<5f)xeu_t}?^EbsZ;a%yFwUtOl
zJDWc6u6b0ibtc-u9j!ztf3yZ^ssG+?PS$l75X)y(`q~jU_?ZU$=$4&b*y*v7BsWOc
zRjyJn&K85`l06t`sP3zt=kl}b1H%is42`K&h%QK(fyt99hTDF5^IoRx4Ze}}m;WfB
zJ;Rd|m|=Qn-t(nXvBF{XPHICHXyKD5ptE|}qZ5~S8?72Wf1BQ!5=eahrTWMT@fV{4
z1tFz-h#?DpQMH3qQtia@!8KkOJ0NhuUdim$Xm^)xQWM`Tu`gm31>dWb^ldmCG^r?^
ztNm%_7X?TjsanJs5cWrDZ-vnISw69jexCX6v%+!tmG>%w7l`(Ve`G1URsfP53GdGO
zSHI(9kgZ4TRPWqAR4B)I0~|cGTxD?{B?BGuMUptu&wGEdL!<Jsm}{DY%+Td2A7KM}
zvB3q|p(&((Kcx4L^wVt_H-HIV-Nk893j=F;Xe>g2B|K*nqGQ<_74hFgY2bL0_nk-Q
zHkfrJMsTEs-4OrP*JQh81F_nal5J*P)^GefjKl@1EICsoBszmHl*b>9si73Xt$gs<
zXL#CQ1f@1Po70sJrvbnoNv<nhBCgZRLiS@+hp+A6NnFVrh6mS|#<P1>Q%PXh9-6n3
z_sK#{8FEt=5KO&W6^-m|Z7-1hK=QXjRM9(F=4-j;%<MRN&2W0|5ND~aBShHxc3#`?
zh;;D{p}p!<TZ0PW+)o)snuBeMoMP-wtT~t5h<?rbi$6IKCUbrxGcni)Lb<M5WvB1k
z@7*hU0E=!6r{ce3JcIxhf9<GFJE40|1>kd8_V0i~^PoL&8|!(i&&QL@g&W_iOS&+}
zjqc^}=v60ht>Wy-C?sS^s6pFT-%z=INRogplwkaY!3@2R>nrR|r$SSdNj$}kzcJ4*
zXd|A^aK;$dm@{>fiV)zE+~vUh8yjd0ugf=3zYJkyBy#jY%1twUQO9}VaCn;Fs3l0Y
zN4u6NAXbI{*_4UcE0lebkR>2=;mokuDztct2e0NjDZ+~~lXj+FWvr_cswWTx^NRkN
zUW^KFCQQCU(*SXi<9Isl99ONc+MHn`X2O-xDzUPjOP=*jQn;eYL$lnr!1jjtc0Z^c
z=+Bo$e}NR`iTytvL^C<H6>;MVJ=YFNh#Q)wxe=AUOaT#c*e3wDSsuL>@aYU0u)N-%
z+q_(^l-d1`vTu~5E3d#Tj%kBQ`kF|Qgc>gaOV5$~IaH1F+S>F0XnFz%6j42Z0=D5)
z)+4VSpp`TI#5BioZAZulzB8gAKJ4M{b-eh2p%|4ko4c3Lvg6({k&~X)szgdcX00n$
z7f!x=!|*8<iks!X>LOWMrN|W%9u8}4@BbR1mxwDBX}A;xfy<HCh?n>DO73MaYtA0r
z?e9OfbQ=^2+XQXV58sG!ID_{_N1>fT`K7#zMDeg2I&auhDpI*p=t$1MQt?+<0flLX
zcUr`1gm{4LP!C7J#Yei)aZ`jHDQDj9Z#L5(cpIFi2QI-PR-5Np@`Rii^7=v5)6bq6
z&(2#59PYHsDRx`uq$<I=)-<(pDSE4_yCILDsEQjgdcyaa7o>}Ux$@<{?RJ-*OUF{+
zl#*I$^%KIuhbZMl#Pk0y?!R*fTYCD#8AaWeYtcy`z5cJ*s}Sl#H21GFF24j~ETZ`*
zKQJ-S_K$E2UiNdw8~lKBw=U~*HQhvyxF`hHC`^O&X8((t=*z4&viC}l$p6iTU}yaA
zc*Lx1Z2yZ5!NJV&AL0G~j)vf5VPyXQ<`Fl8tEgDvvdIv`FA_0Gyv*;!I0r4lF)+aW
z`<%;IK%~MbcJM(KB_t%I!ipurpa^rFcAaKFzJIj#+Mcz%ZmzCBd}}`p3fEST5?fpv
zASgQo4s^P=1sMIiL+R)V|5?t@AVA*gGtwUi?4i!-8QGG4L7gJF21I^M2@pUu2J(-i
zRqrFZ;?ODhXF`JYPa*E3qa2}QfPw&f3*?{s!RhK70)bP@*V76F;pU%$fOi-%Pjt0=
z4)s4H+=j9Iyn)wm)&skXiiU9h*h7wU1?lVKQd0;F!CV75`i`3$fdij+tosYv-~7M~
zP#pk;bw%FYx_fvyXmfTsb@c;E);WOx=(mFkU>+j`dIVYn_u)dAYjFmB1EO)Wp!08l
zTz`~n&kP}78Uq7>5J8~UA;4VxZg2fJ1NHsGj)8bpUHnt2q29|H-t!=`{r_Q%_fJm0
zxVQCo`#=K<{5Z5X*4sI{v;=zw6ukWLu|Pn~DJz_YknQFC(U+gw3ebmlP6qZSmtf!;
z8hsgFiyW!_6RQ#WFAE0xHl5l60(1|qx3BfbZ!kQ3!#vU(e=n=;j%;9qg>)JH)XD?H
zfo||b?_{0LCAkE4x(oXJfVk?H*X-PoS@Y_6z~$?+BgR(_>X9M-2KX626LAP2L4m<U
z!2k)^0wE2K2AsLM``D?^6H4vw9fl!%`snKF0J|c}`hO0%=7%A+)^(+jLji?(_<#ER
z)V$gS&rHGAgKzZ%uM&ANpnc?>BO1o<<h>r;8t8-VbKVAcbp!3+oZav@L3(a<3jEsr
zN&j)^<)Na&5t9<b^K<=dlareT2fjTy#00XxgT4n55fuR%3>5JH@e^NY1^H10za>;x
zEzf}!c$_mNEPc!i<o)6DTkUfVg8#>cV9_OzfCZ`l9=gL65X_$$ihB9UxbSQL{6YS7
zOa8$f`)MO0MT9y=WW6GM|B2h2#D=^3p4ty+BDjV8wrc0G27dIDjS=v>u7()L033Yw
zX{ola3=xbA{r%+^hYY9%6Z5xj8L-C<<Da-M+unak6zo@sZ;j%9eW?N2KLiK)5r3)I
zWRpW=5BmTm{!s`Zz&PturV_HzvG%jW%F9RUhk<CiABEsUijY@8+MoKUk8C9xCd7ld
zwHMaiN2K!)d;SD=rDFi>kyDXC?I(QEzJo$PfV!*v2!a3+wDcuFA@vu1v7?|v+-iIU
zi2(7e{tzhw#m(%6zXY`K<ogYT;XVHZB7*z>fD`@}{0`_wlq~qyFVOi0C-mO=H|Wj#
z<Nw3@8y67^aFF;KG>rK0f%ttS1`>cogbR4X#>Bm27~8CWuCmm$q_3@EoS-bFEn2hI
z>3yh2h{N@sR%xxQjz?b)vA&!aAFRWTtUhCcb?)<i(Y|CP)>d}j^nKsaBDs*WZZVki
zA-f{<>!R0Q6AyX{mew=fx=G8*GpI+kgmo;#QO?Z@gX(n!zDrTBV=Anzb9NvxG?g~%
zk~+tpwYeZs&lUtk?Y}I^ysd8NQREu-cbF42@P7vorStWrduDV0W5%Wq2mJLz8q+(r
z>YT*%`x-H;(8-(YiAqdZOb&#2`n($lYpUCp%fxxBwsTm3u_pO~)f_v|e4zd_j!-q1
zT6&Fc{W6@LVWAV9k{Ae?BJyMckgAeueDHcVh6?}?>aD0DRgw?Vu3l$rP3(KohTG@l
z)5V^vy~x_;%ps6bThuUm71x4VSmNV1i!&rbaJI!_^H<tW`R=pDdcTeM&n(`eND4Pm
z^p^aVl@_1x^iiu(zr9Z6`<hoD&cA$Y$ec4yKD&nC4n7{skS&$=J9{qgs$nkSbfi)i
z77jm_bFs3l1wnv(l5Xs@#)*Snz_4_#<Op4^j_$_zhOo&7hHcuc@xg1IuFPrWqX$%#
z_x8XiDg`ZiZB$0`B+wMLX;7s@->u0~Bv=&@7*FP{4Wp$Jiq}?%j_fsvp=IN!dh_6a
z*?StRje{re)3vN65%;eIcmHOaS&&lU&zy|IEM~*3x%t(B>h)8dg1>Xqh2ko)-eV`v
zqW_Dj+*vHaDTL{)Oq&~~LnVxOo(I1nPpxXnZOm}H$qTC;mtY5>bQm9{?2!$BkuQwB
z$ObJxUUFw`+Q;QfYznv9Od|%6$3XO4Yt^xQxr}i>&wYi9MR5>)7czHcPs09}ERbdU
zPdz^nD~Zi56!ZtzBXmo-W4N$_b^q(Z1xprK-!2&VpLQEF>_{!dMYs;G8r+Ym2RX9K
zTX<-Cj9s3WePt(E@VUX!b-Y0u+ml^SUUTlj$McUZW2U@{>AdX?PkLpR+4J?^7^I<@
zhJ9Y&i@A<ahVlEVCi9K!j(VP3tK8+z7B`AJO%4*KJ(um{z+>U<o$`{iKX<6~Ynolr
z@B@xb3H{UL$5t1X>_-Afvc8<Y(&5;UVjm`cGDV7P--WWMO`m8#>8)a$3`OpVc#Ihq
zaPPLle_?#tKjGRw;0J6wZ`a}$x#}_|n7|c0WxdKa7H@VP6-2qO9vhLOU}|P6V2sc-
zBCH!Ij0<FVN|+%q2oTxLbesS&TXY!{e@hc&4kZyuw))!cZFv%X)VU3MH&iSm671=u
zQh$y2z{;IK#eC(5#+DDFU(s!UbNLz{)_vIg<HJj{<X=9}d1D&d3ttNBS&pJWCw)`S
z*owC~o}|5=7zVZo+{tuw^(jO2z^6f7CS&h6fpY1DUr;Z1#$RggDojPxB+ZyiVSDLf
zyme#37S&{v1dS4Pir-^)z9`~_>~mIJRT0i~c0i=fkPlCT_CK#09u6a=ved3jCu$)d
zE<?9p_Rs|S6vsQnd{^=2&{2g*#S<(hF*)qm3Kt6pt>lARc#d~*#Jt@@^LZK8<cQiP
z+JF5yK#R;0tGi1UV7tIr{{1FS?O_qRN-}tQC6~cTdS-ce!sfo7sav-$e|LJ6oafx*
z)x~v_mcg?ljB9fHyldL*SfUT<SB}Mm-=6xL<s$x9@HbwRoo~s3lkIQXoQuk`0nJga
zV%@E{h#C8Q?7cVfD{D=*nWM49>A!00dy^Bh%ZFaudSROLXtB#=eS$Bsh}mWL4=eDL
z;i#82bJ%ie((*{IDm}%6aAa|CINmd9a!*yWktFZWyr|b-R@er>co|+Ki@d<A$K-#v
z6UX;}i=0zAlMrZXPm*x)!d2!Jjef$lF4BlaCYe7)U|0+<ex1fZ!@ntaL;$8~LB?vG
z>Rm*(|7H?FrLfTtYzGi6NuFxV8It%$$q^XZ#xfrE&5xguQ7v&bfOP7OCRSK<d4*-H
z9b+DqAcIOb{6f}UAT!ySPOwL@7^+5*r$r}FIFO{YMv++4RVXk={ZwE?4`ysKnHS)i
zs(2i>Oa8Jlx5lD!@Q6m=Nws3(6D=<#xIR03oJKz%j*xGC#{&K8)!||;khpM*=2ora
z-3;*vR?iwY7ck1?8I7jND6W8V7BQdgPJa7q5qLek<zOAfkl7~`s#`Bsq4nx}P>NNZ
zlk4RSUDKDE=P@C&VpixkTj+(sEpWmSk$lB8BweHk^Q7J<y)W>d@VnGyt)JP@gA(=K
zhRTh~HwrDnSt6gaw^s%pmtO|q<z$@5C?jGe%@SRSW}{fZizuUVmU>b-!o(r^F)!B_
zB}^!NY4Rb9>6U~2C|skWr2tG_^&Y0wQcdfKd2ac@#=vjaQ_)x=!+NDDWRl33tKfH`
zxP^r&<xVgjHhUFod@(cZuSMllmdUTVPd(b4^(O~hO={_BM^C6=FqgCTT(>4FHN5f4
zg@>-Ff}nL1*ymo1*!{w+-4q0>&NVB!VXn0;Z#v%7(?8v*gE602tS*V9B}>>7+d?^P
z{^i@7gcf%Jy`wkLk@ku7wXIIfhnezU=v2oTe*-7JH&cQ>26vGSGa-vy{FTY0B_E>h
z&<D=q&U!K`Qg-LPBz4*s@DB*p+9(~YWDY)*lB*-k#z6|$S0_>yb9;u#GL7&oFTQY9
zhkb;mJ)$8q_)$siy9sX?+fj64)r*8Ggy!(7I-b~-9pYz+DP7a2!heglmOA-ZzBi`m
z7K(I<mF8t8sp~*qp!AZ8iM(elX1ySL-zqg{wp3+&@-2h8_RdA3BITbp)Gl}P>lb)B
z1-x6|5&x(`F5FGn%Gzh74z*_j`m>@tT`3=4;zW6!%20YXDi}3Yat>ycQw&=(;lwX~
zh14yVmABP6BYW^Z9<;SS;&*b4*D-+>G2yJoJun1vvx~Mpj6YF*pjk)coO+fg)?ioJ
z!No!TmYO-R0Qp7;%r7=UpP|sGlM1m!E>lA-MVhiiKH20zF3yjo`;E#C;1g1|iZcuV
zHV6r3tuD!X7`KnAifM`XQ&TYU7}RzLqbAPSqnR=XP|wi39?eg*Qqmb1GB0+h4Mqch
z@)U$!@19(>4axEu|DYn!T5o&#70mryq`E0XNssLBxYaY;OeeD244}{Y>RlVEIeG(c
zBWsneHUJoMs?#~NrYeGiH{!5wt{OBT>&&-FCUmLVHybmDh8CXthVwqmqm^^?1nQH|
zXw9d(2kJ^AOEVzXjSB1?ggQbWZcuKD*$jkw^U87#o>S#zEcD3>k24N#RwKtfmG}sL
zlpRbN)2@9U0Jq0<n_Q)JyXc#G+u10TgzI-i&{z>p**c=tX+a?1(y5}~RZ&hDls6Yz
zd4Fc6;3^7EM^#?&VzkO*fIP4ee&%Hyt2?l)&q`!$(ct!?UHZYPu>1{kLiqmutJIhp
zQZGLc1X#=21zou#P@&LmSs$5mfcyFHcfIp4RkLttt@a&xWZ-j;iWNb4g2<EiU4J+B
zzvqk)BPA+P&lJ7=;d-qL(w)DXO=^DpnTror@VoJ{VomF!b_1~Hd6z9AEAJRPn}=j}
z_N6kD+360`tYj|3<Mb%6&Dp{c-V3e)osbYIIdic_dG<_x(0|rTN~?SYSM(BIT^^i(
z>pFE@HeQV&T4uD4LkV@u+<3=kSZa@t1r`;7pcm5}+Bb~~i_Hd0FJa_sV3g+ot*RbT
zc@py6gI*e;BE#+)MygK94^Eg2jPaqk!G;j?6vTQ*lEIG0YpMNoK<b*|*_>nh@`;L1
z0jf5IIof=@m4xRDyHD(c;R2JHIis1ijSChaSP<8ytB22$<IN5_mxg<W^d1sZm{j6A
z5jCfa1jykw-lw8Eh}~S++s!hA3;-!!Q#BQl3HVgo=3mAAc^$t8QuJg9-HB;*rc5{)
z=EBuf3l2I0JH(sBPt`GJ0lT=|q1u$jGJ95YKrQ%j-noaO&Da=lCh$!;aq?~%t_5A*
zcF4ZBlOc$H!iE(!Xt1P}rxQSb*nweeNQ8(LTbA&;j;aqii)sSDb1&cySg(!ajO>;y
zC1BR&qdu|<%hOs2q^i8~@Ji(mH)Tfkd3}T-^1cw0+nC!(ghqm^qKa12+3MGvY00A`
z#Z<aq0~+Pk^GCsn$GYLiZ9op@i}%e~cC_wwj58Zatr825p92%a#7@H(kky<;?0s&&
zgklYeY+PPIbb_<z^_X9*#aRCsZ~#>Aug+&1qknhGz3+=e{z^7^%r7(j9*>bC$??&Z
ze29D>_70lu)Q7HiBQ*F_Gwu)g;`7w%dO8lke{99-p)n;^(i6VKE|!WGjq>VN`drz4
zf#<ofi?*&0x@&b;J_U2?NfNm%_psMCV}R3UuiVX>>9f1wghrSkGiF!6FDo>PA6+Tk
zjkWt{<ZI`JktlM!hPMB_qoRIGNIXLw@&(d;Y$9~p4o;`nkb$9lKbn&fHgt?QGA}GL
z{cI(SVlpyyc|4%s8VH77#R+oW1kIP#0dg5I&l%GW<C!y3;L26tk%xv}TzmrRA@57s
zRJz6=qr4aFtZ-cZRvEc4f24gy&$t#U3A69P-4)zQDPjiW{!JFdpZ0x)DD_W;w9coB
zhh>#EzgVOm+^ZI!P&o@x^Sar;KU1?>@9zI&$SBCXkW!<fF-^2mWbm2LY{kR%v5J^}
zK8_TmjX77S$Jl`<;v(;o?oHx_9R(jB&r6aiu@dZ@vP2(x)fX$`$whCsn!uc+_tJc_
zDw~*|B5gVK5w_#ovj4%w@b~d5J2>5=j}Y8U9Z#i*h9@ifPjRLz`WEnV!_}#UY-fMu
zo1}P$V{!&);hOf#QIx#mI}HJQ5)>)?AttxFt4wsaF|57R3|7XPeuB@NucErtx8zl1
zXva^CW^heswm5Uu+SLG`X+Ne3t7~A<1)`^e0DmIBhe)5a8L|d5+j&NG>GajQPvTmd
zt7=b{^jd-U)QTN{pqc*LAnG}?j66&@G9zjci0B|aq9`9Lekk~g2m%Ha7q~Za*VVY%
zt)q_?*|ob4ZIr8W0IO+5*+=057<^x-*P^sj%4eFlY~oTXyMtzbV;Ia3T@}=Kd#OEs
zf0BNPcuF?L*dK3l@Nxt36YjK6<%m28YEn9tIcf0A%Q^*6p5g8d{s+Fj=0-1E9F=U+
zDf$|B<hdH@bn39U?!aF3>{wf7+x;>ZrRfDjfgugVtoZD>Xu0a*P_pmJA2M^!M6L0T
z&Qa#CAv`iV3RzMvo|hm2DROBiwGFgrY^`3$j1=QMf&;1xTt*W?hF1uV8YZfd_ln)2
za-+)eF?wacV&5SJRimQGSf3IGne%^@CgC$}li*Gfk2Jaiit==IQqQ#TfgQo+S4%9r
zNJD{c?fViJGl58~oL#p(lK>x_9XE<}{XJRqP)}e;yjA;S9?Oqje^=`SL>=b4Ca(kh
zA`&L`>Tk#lw6=vU<9AK0cMhBjO@mEz)?caOwM&X`seBE+ZZsL1ics6<#7eQz#sK+a
zls(e@risE#?1vp<Y9v+k%x=;b0Ko*Y8<ODD_&XHNo9MpwpO%J2l;`%1%UP7CGrLUB
zqwNhFz?{h`NOlf@C+b8rH54*@==bfd$dj(D3CeVYkoddeUf4-Mh;G*8D~__T^YYYX
zu+?6t>j7)R#-z8=66;m3Tl^pQYrJc!8GC;U8A!)M4;$&O*X0~zHXonj&g%loGNFD)
zf1MZN-0r#g@?@6OT@7=bWP@$jN!0Tj-xJ=<9Eb7FbNWeKpLJlsrgNSj{z{a?MF2sM
zkJxw3rcb^C_8j-+h_>S!Dr+%MtNv*Uomq@InPqcKcY@q>G^TlD&Q6}VT(IuR)C0`Q
z9zUH@k`-{S9#W3kC4>$p*B)#{*r>X`hh<$8GPU}St+j<R1M>1_1|zBYKoBUZRx29?
zk?Y?^x%8{IxROv)$DuWx^G{rpLYmPmOZMvpX}K7Q^gi^a0%o1K83<Lg;n~mQadI;}
zspBmO?QY71spmTp?nZAzvOaEo)1d}bG#=zF9JRPv0xs_zg^m(Icx#Ke_USwyMlScT
zgGKo^cO1XVZOd@oLCxZy?k}_=d*4wiKzIovM&GSLuZ2t^ahw;X?E=HZ1j^%e5!=?_
z#n}rd!!u<eD{zthn&v1^HaSEui%vt#2<k7#h2=8;?R6-swvcXi@O8CREn;6=+=bS<
zg@?4Y(O0($g)&bq?6qfixi2zSXS>XH8lwvJDtqbSkXBaP&v!>J0H|Cboh%SR$($7t
zc{SbNhZn4+foByvqDU~vKa{dFJIn@nf(-$+X05O;qezKh;6{jCiGg?~*%(?@eDG)r
z;Ja!p+~%&&mf+Q0=FvzN2|JSN!I!*pJ_XX5aS3NRwHz&CNZD`5Pcvf*mScC?K8k-L
ziT@_Q)K`waF*E!0?Ls5&<L0Rn$6)o?C9XtJmX|459+OtiOO{PvO?U0Ki|1c(%;vQ3
z(yKc+hA>NQILSTntkTc2yIS(9rqQ*9DP-C!Jh%|h^YhJ!sg-B!a(`VopX93T6Ro5h
zVCN=Vp{p0_&fx5i7wcj#@Nkfb`tRghgGs6)=EjS8B;j{#+#bE}fNv@(K|8rc2aR!}
zI6>CXID!!ySW9fPEXj74&%oMjmrYj7r#XDAO4s@2u!~gV=OenfBo)h{{C*2A;*FS*
zJ#)`&#1`3+X`IK?vTUzKc_4f94ru%ptM2jZMF||a$yR8-w@QzjOOq`akUPF|REZg-
zxJs+1o^?hRiXTWt6$!MVpMD|t_CCIrFV-sMWz}*yV{hkFeaWn`tHqZC3TE`gO=`k<
zH(@Ge!^jWKTBo~Nu>6z}-%K32D{Iu%=$5Q2WgsY`HD$3SrDB7YAwTLQw}AS1?B%=R
zm^-9cBwuNeR$hIuP$i1}8UDM1@%N>j%!9XLn%`fs)Hq@0W!ImJPV&S=q|`%?`v+p%
zz|RIsW!V`daLde?xV>{c3JD|FuXBPQ_h(rt`+L$hqN}DB+(k-Cgz0bvgaEc1dZv-$
zsq>AyypvvUKU<--?e9yxs_f9I`&0@x)_2v#J98AD1uwe3L?>Ng_;jRHTH*wwZIcXj
z(r~J_mfzR$DG^(VABSLwyD5P-k`6prSSd|Tig`dMJB~m|0zPCIf}I;xf^hRzXR?VV
zHI~U;Z%{CGaeuT30GXibuW}MlS?K`wm(Y-<ox&3;!X1&yx6s{K)H_1V=$!0n2;T`F
zYN!*0)v5k{ERr+>vh#3B&joIS)f5|>=0thD{0^OCE_ut92mEyFw0Q(cjlfn}18S<_
zgVip>>+zxC*eZF8@YYg9XQ%}dSoVZOSBX{e#u%J(#R(B_i=^xm_|wecEa!c<W!#N9
zY9kqSDMD1vXS3yxjQmTed3f6?>G;gR(X-y9E^FHz3a|wxM`JQfv-oktWonn!IepB$
zHQ(@(ycz@DkwISfj)N^X@<C0Kg-OF>ZK`EYIRVs^*Q$;ih9yqpw3LWyN~p5eeB$`j
zGMZU|L){1E(7EAMp)ST<e=@Rw6ljf%&cBQMP08XFEZd3YR?6pNO?R9+Z4+gKIgn$W
zpTUQXT8zJS7!Tfs-mdwr%05Ecf_5d9BV$7vCU4Q=lqVrL{Ooy$F7PVo`RkO<o;v^v
zgD2DTYdZ4^iLAA-bvgq{3&;3#a(&z4ITQes!LbiG)sB}NR9%=6lYbY%nM1`dL$Mg8
z@3&HnkcSFux!YIk@tCmr#el<ox5N}0$Jj($g0IYeINIa7_>K&x4Ny#9g;f;&PB4%b
z5%!~E>=j!~{f%=861vceB%iO!45yR)w-E&j+PaG#N%m^<M5wgv_8-e;2TjE-W7e_4
zpQi(n70jDt@X=8dDMi+vn>C52#6P7;NqHyl_*)~Et;7KnS))>4%`~DVt<?lX-$yqI
zti0OJu?msJcxYG8F@$r}Po|&%dNocSNOL?YsT2!{T0Wnz(?fuZFgJ9EN5t<_Y&Zr~
z<MWy)?jT8X<UNnZCVYQ~LQy+CLo0F3(590jJin+Q=U=#arKXc2$>!<t?>PHk+XDoS
zL`@NSUVSDF#bOt@!MpU#U!Jz?nhNqQRo{n&oxQ~ZE^Osz-=sCD3#ihXMP+AV+Ip3M
ztJ-uZQ|h!R7g`P9V%(_Y(KAVhdgl7B@Tmd=@EBBW1Hf>D`LqweOjoIhM)zSH^lq-&
z=Hx##TO3Ap2suOB;TEaYu4kbG$zzPo3v+q+51twgeA&Cjd~jfN8kJz%NP}`RN@urk
z%?r%zarZx{)((1yHy*iS%eBH!PT@RfrX!Hki(2_l;5|Z+F`XH{s};07B_|h@+;zai
zS97Hy9`hu^c{BI^@#XX6)nOM6_kN+YwWmwXuBrXUF4b*}x~8IgZXfx&B3<NrdTFOF
z2hpceBgR(V)?ifo%L4W_<V};0JW7XQ%whCqBc3j_k)^nv^lP=S?s1iG(32bK62v%{
z>omt+u1)Q&rx`J=y8`KAEr1k%VjCuDDUbz*oO3V55Ksbs<!g2WIB=RAtU^lqGfZHF
zg-G5f7wuXlY~ZNmikoW$u)d=42bLP+?Blgnyf8_|f{cCaUUwdvq(ExkuB-Jo`!nK1
zXH<jE-(*dwl0Aj#p~J2}tLwZnlopkm<>H~SPbG0y+5e*`5x_owt(gK&kv+(XtfIA^
zkI!24XyJ^zpY+2NHD&4EkfH_uY~HgrplmRm{Q*Q9!Nc;MrsOB@XRf$=SnJa?Yo^>(
z;<)uf&J{|J?s~V(r-#uAMbq0KRv~j!bL^${;KkRm%JRdJY8e4zh8OcM;YcSkJ2^8H
zzp9HXRb4QdoZVP%NR=5own>^xygY1qq(yZrljH%asp(BnE1GE4<3EoHc0is9fA{AF
zs;@yq&qw#0Qt{Ix1Fvcv(#h(e`HCE?6Lu{jm2nf-BvN6#MBi@Mb4)wb4)O}Wu;Y@<
z+!#J1EviBiCIUexwn0pW*2N$VM*2?Ay&uqu`ISL!F}%c1%!>?c9$x0%4$=cVXm{>Q
zFp&CBB^L{DfJ;WSNc&U4`w?8mJ}exC))hQ{JZ0Y7vgfkup;d>`S<Eh{%o)1%0XVV;
z`V@a}H|KEy#X$_Pl_)#ZfVvOOUncoBtNUKxcNc<%c@98JFz3Ml6wKQ1zN6ujgMWc1
z6yjqN;k%QxQgOU3N%AFhYV&zg(CpV_{;AoL5zgPm{36UAGucV(_H;x5e*1<!N+Ta<
z2)lo4Fu~SL1G?`{{tn_f_!^xNd;iXj3xrdyo|pfu9~xzEw+bsE^6j3wG05X4?;Cpp
z)=`MjBU~~##OH1%fIA!7dZ+t(D;e+Q8?2~Y`iBdblB`<v`lvCTN-yTrgxZiE2Y_V`
z`wM44m>kcnjh@3tjnp4TCB3541tLJYUCS2UYP*uX(^#{crgld%7eu~xHhh;eh?+gH
zR%{I6_wc6F(kNT&{hQp)Z=M0~oEH+h%9e?Vg$xy*zeS)OZYkTO$45J=s<Nw4z=wXw
zn6Iptn-!q46m5o}5*h9QIB9Bnzf-+Vs%-aP#{$ClTQBLE6yOmHR|`#@Z2?__!eci+
z#;(N>Rlyet*aoR!*nxwSJPt{uicca>L`(97<zU6*Pda9aZOq}8Ea1%y)04Ovcqxf~
zu^Xk&jpmQX^rq!<!@qVGXsCM)tS2JtpJr?rgIL&6+HleLa$>r1af)`h3$tCjmQnLa
zUwOX15~EBtwJRwjbSE!_^wiq897}1Mm0G)%k*Y4!lp{(oj<?Vg4!#?{rVpTWv`x#-
z#sO0w(^la%``pt73Hq^#cADsfA|y3t6;1a8H#4=dN`6pI>01)MBtW()_QQbOM520J
zNjgskWhOI+M(s<*Ej^wL89|(Hfg{uoFR})9TG_mwvrqG0vxN4gKh03EZh9(sDF?zQ
z;wqAL_2S)eaDNQ~B;LuWpxk~LQq~9s!U5R%?f5mVA?L0LvM@#t$h7{v+!%Q5<OM&1
z-c0vJdCe%0wu-SS$W_JD_+3sOz*Qwf<<SMMx<KQ9G?qW0Ih)zIgqU!-CVTsJUQa(_
zz_b5!O?$`_e<W0?Kg`TQESHwy8oE`xoB<rj0MshbpjERX9<I*86<sJPkmtTNJufb9
zp?}*XYzQ|?K2kC<!)P3s?$7%v=Y%!NX0bqU?<izT7ZfFF_j2PfY0M7njH18I6+6%#
z4HW8aw-74}@O{Vf8zs^weCy~Om(r!qSgT>p5^+|hj0dV$$V6BNYf2cC+=!}t#47OP
zl(-*#J)2gEb9k%Wd~6<0X@E>95{R199|g$VK^@hJebNFL-c3-pgz5>WnDBnAGRJTE
zDgrOQRPTkDK7Ut4-H2FS`md#XLnk*Tr3Ds~7hC*{t71p6@Ck4agesbJ5!;S5G<@as
zgy6#~1CG{$RvTu}$?>y2LuD%$XXYvuu#D)FHy?O#Ci*m*R@M_gr*TYDx?{f;_z6~i
zRWiQJc1gJHYuLoIT2}3Aby_#$q$nV6{NZE%X;-~s>_=pROi0RzOoZbAXpmMa>t`!M
z7a!5>6!Y{+;h8_)Of$H(MNeh$L61hw-~WWehRVG8C<V5}B-f^OKJ;hyueu5QGn{Mo
zo^a!W*nxnv%sbFA_u`t%a93>IcK!O^RmGSDfRGzL9wt;4{kpQW5Oi7nN(wxJ`9eL$
z$E<wJ8;7bWihC9rOQU#|?W!|GooN8kJ8<;z@VYiS-1L^)ol><O@RLCm9HzZ><cV=7
zlG(~Vy*PiYSPH9n^vOLe)12>|MaxGC-2AY1Ok@zdb<zp%hm2@?%zC_0axLg_F(x;C
z4~U!VNzho=o@*2451sl#A<cKh+tyyePU=NWQ&D7mXh)NWy0(qje&IUduKVG+;GR7p
z*-pc>yv<S2c<Uu7+fH45a1OlRpG~NMM`t@DUm}TZ0GQ`9+6xxu&h;EkEj=V2sZ-jU
zEx&1lMM&zqi%Gs$;`-5S{i($^X<yVq%pYX1_RoK(Q2{t0&(@(Ii7bJR$4Olh6W~So
zx2^h+69m}N^WfTBMhrvEWvGs^;Iv|V$&c9}oqOB_!{=0ZqpPbFzUtK&vA+{=y#`&V
z?yg25om}$9tqZgG5G>CWHxD(1+z>a#wY*U)$-5?Tt)$TCb{cm^-hcb6Hi);qhh$c5
z9q=0-`F3D;<GLt>Sv!f^G&Km^`vKjy(d+&<*{OeNC?Y#UOBf!W|CyHh=W=Id`A=Gk
ziHL)N;Xl3qBRj>w^gpaRME`HCPE0Gf0^TOdKdnw6Bs5!l*S|(`&d^W9+}>pcb&U|9
zKd?g!<_1d#Jpe5iFYY+obGG~8x8lXBI$eFe($nQtw+jv*(uolj48Dv<0vpm^Z(rXC
z3sS7Y!ubjW0O(W$0NLg&ESvh6-1B>;EI7LHNz7O<$e)OT$*AMgCmUoor}xv!0YX5L
zwXQ%2bU=`GM38wz+}!?2IlB9LBIQX$0-MwD*1!q|;1oi?h|E}UD9eM&P}e6nPu|k~
zzQE=|v4QYFK)k2@27ytYiO3n|;Xo7^of;rE`17Dxnn2A31N7sg&iqR9F<V_79FUBS
zoZQ^ZSex8TL%1{}m>58}2k2ITWaF8~C*X~NUw0S;R;CI5m6BJRvjEvx)j#OD(w3J*
zb!DJJ-CEa!f(jy?ok6LGgO5YsdUFU!3u5P=0tJ4Gs(nZG!@YX30U@Zx`jvffzq|cr
zIF_%+MuKW_V+e8&{G|pYU5^iyPgXU3d3Z1g#}K6PNtU_6DV%pSvpwDKYI-^s%%744
zY)r}mWI6}`y_3s44-MEqoW6u>{n+`vb;B~JoEo4ZA^7*NAQGlo^WKwWP>w+VS%X*O
zmrGMCQaShVhn+rjsD{S3?cm@_fGi}4t1~#I#E+~8Tfvu66G#V;`})Sl8<;x~kvPye
zsQJt@cTZ~>=y_byQQKPwsGc2UIcWcV2Xs9BI?Cf`$mw6}QwWfDj*dX@o}Z<=J*b!<
zP<>#CPM~Q)HGQZ}{*AmDqN%>yhZF7qULd>myp}Ow{hzP57y2SI4^4qzuDL(+Kil+K
z$=Q{KsVGZ&_&;0Zl+aH=?oIX%z#1GL>%bt}JV1Q5!2UOWW{T{fKf3>%?FBGM(i8&w
zb%uFmk9C1N-@ShCeQrU(w|gBb1#^Y}B5*$ouiCBzuKN#!u|H-dKhSSKsINCPKkP9-
zc7lzyuC9LDkA9y&gl!qT>$4AbgH5Koy17qvAU?Yw<3CDI0)Bt1Vg3P<EPwj`fMYhD
z@y7dWY<zh|>zirTLyimK13;R;rD^;&Tzu&>{)OC>!nlI``lx^~5L};s?s)Am=AYkA
z?0waa2{F$-9KJs!u%VDF@4SXMJlugz<>X9r%>i>lhsOuN?oK>)h2Y~yaiPH0)kx)2
zPEh+Dyn6nm%g}#cV(#xj)=B)bzKQtgfU*Yp!wLIK-|dFy;Pscj*-`dE>odNBax+eU
z#CYbQpjy0aFZ3{C%}yEvzCrnz0p9_50HD?%A}5}_<43}H$o|t$!rKnRH2&K@2w-Oy
zM^9gvZ;2-lsh>f=U3{c*P%shg%rKA;A!|$FO}k3c@EuLpF;P=<*QZ4+jqbE;E}a{O
z_#|vT6Yv^tT}cwZixI7j)Pg=VJu<&rKJyB31UuPf^N$lJJCr)kmaWiMjtG7ZMQ0*K
zc7aH#!9v>anX`cfarSwPUhr1w1hTn>6hh&ie=@cnz1bq$e883Y`e*HEn|!y_`HRUC
zO#>IB9jLUa#r;gv85CuLj)sIHmV+EGgBg9Dsl6k4?l}5U#=JM8QAcDCJUhqU&a6j`
znz<8~8>%8IHcH~4-eI)df~WL#2?Yv`dz$Y*!GS6M0gb!DG#gj6h_*^`KKm~G`9mwV
z`lVnhU-xEs;S*4ZOSE?v!mX$f=To9hTBUfzcPXYN(b)p=qGg>Ri0pgd3{3D4Q}^Zl
zzhgPCQa05@KV%kUH=fCjj#Y%`%OoW_V$2_fHHI=k4}DWr*s7tT{68~Wz_dWIGNE5k
zF>ovJ=y&IPv_|8$qaXpsq56|^uiW&?bgo@RVd(-H1^?DoxV>Qr10X2a&hXTvMYYve
z_8cRva(u`}=`W3p2hOAm3GkdDMRV1^=k7Y68f$#;#uEo91iiyCJx_JMdP#Tj?eN`T
zi%^1{!;;5E+pC$sdXA9Sx{RLIn(}RRPGRivRPALP-FR|Hvk9kp{H*(nr0Y&ouRN+x
z`2wS!gr0~wIx+JVtV#)gt&Ds1_I|c2*RWB&N2_(&#cjW_N1S6^G`3J8(q9m=b`N7k
z1eJlrbkYl~zk6>JID?C|smboR@^dNICat|SAJUl=Uzh*T5oHbJ8JjjCJh+I~MS#IE
zUHgxbV>4W6t6^6S<t;sp?J<WDujKT>4s2<!cw5fl@cem>Ux<{J?>v8|&2ROjx7{d&
z(HtJ%X8I6-GB;p5pE(RxgB+Z1#(jxarnY`tg*&-WX*fXdZ`t#1dY4-*@Rfjd$ql!C
zhW*4QJ$zaS??&-;nZ4%u{!8>O>|ogKmb^XxWWP*X8oq@Rb)J?6;?9wG<M270l~5F*
zaUo_T7Fo9jExzlr9F^}_bdp2c86=N6eyo?OV`_g`^&Fg~JE`$sjGaS_Fig~D+qP}n
zwr$(CZQHhO+qUiQw{3I2ndDDqF^k#Uq*Ar6ROO!g9F4pXadA`*WV3n6`oaSv*#-}9
zEOP6XBU0P#WP>E|j{fxFgok|(!i~oC*s~|ChHa12)zX^u$RO{%`y$hT_j-G5z~9t2
zmZ3^VuY42km?4xZayqaGd(X!5qVe2aO0uLANXHcnP?fN9%0sKiT@puQx@s^sQA`?X
zB?7TNG-b!cq-ods!Fb#Row^cF9Z&4S5)5>8B*;|++I@BI!e4x7h}dX@ZHJx@<yi|d
zDw&ij*|ZK4g&73s($J=uwpimYVh9mi=)H@Tj|d%<Q(@U7zWOdN&s+rpdN%|^n^TCh
zPj`@5ygqhP!qKyDf)YRa-H}vJvfE=K{HS-YER&^Ci1{{gaUSyU`K0N?+NftnsId^3
zk8JX7f|({Pv|-0DU`kIoM<Y#EMVDu1Tdv})vSZ8Fl*H3hFu+;Q9dvCnXx_yKXD1|F
z^>K`hhtN^|tt9DP>1UW0?{%=?cHlT&3ct^pIBj@FLS`m;UK%KaOKtDRlrP{;i>St0
z=D3LUcbkk=9<!lrI`yR%UE-{C?$l2fmL%VcxffKID8nP1ZwM)UFp?SaHy<C29J|mq
zUCtUAgz9VXF4CW%lv<cM+{@5#?H2B%b>gO(F%=qQ8^bQIFrT@adwfY8I0G{1SW49j
zGTz@6YHRA}Bdz2Vb3e^Kqr2MqFJg)z+Q%0@)BS$|x?@3u2E8<HrHB{*wH%$EyG{{0
zCljAgZ#oZ>S8%tnN%}(jG}FG}<9F}lVXe|KlVDiyxs;XCn7(UV=~16Ide__drf2;)
z;AFRiZ3j|oI^(dQQ%6=woC=!kv_=2p{qDAum^9)0ua!DGv>q1|<Fusd^P|mhxQ%c$
zxNb7l-Wu*^D&2^-{aZ0-`3KARYh<6J>V=s_l4eowLce19%n$yv6F1noz!tD>yl-h?
z_53yWl|!e9*3qhbn$;&1C)?O*3l%C?VyFin*L<Q6X(f1O-;#b$&}cY6l^EVH);pNE
zfb)qRL`KD7T-Zu3kK@Fcx`aRcM0tqf<vm)FP}6(#y#=Z{J*FZeD?JC^rJ4EBu7@`@
zolHa9BNWCU8j3x(OH$X-VrJ2=eN4}KAyh23;SPg``e8C)?4WH9;PvPyZ1`V9?#KXr
zR$0?n_ajj%dEf})dAPd=qbMgCa!+}=K3c1P0`q!P9#XY;^hpe$px>KsFH`y7Nc_-6
z(VE`Hre6E#VI#n=?^Xwweo%hU;`$I8e}l!)5yqIUqpjEXNDFu2*FiL5ac=;B8OlqA
zP`PTNS)3JL;PL{oHq6#VCeCevy{$ooV*i@F7K))&_YSGjcRV;aP?OV7(;XLy;z4WI
zIq7IWkBhPt{%bBHo!DP*s&=ver-z=cbleo_#hUd*d&;x0>7z~{WE58db|>`K;V*0Z
z=GH_vALE3^7;&YFwp4kUVjsQ)0V|$MPaeY57(Ky|!pKxnPS;D>g49@Tp0lnM%Gv*O
zy_aX25Rh+BUdVnm`3_(NU^3(o<nL%gHT;#CM@jwbwGH@^+@#pVr}ZLjKbz&(ZzzAj
zK*L?`XIRDc?pLV=R7ix7eUU&cP=s)N7@9v)pv?fYJrE*g#Y~X9Fp&WpBTy->=V9fn
z7X&7|q^XBOmJfW3gT}gZne67!0J-nt!E$SK$uDVo!d8tFenoAs>=x}OqdgmLo(vif
z$4XS)@sxof1Imd;>YA_*R0v|NTgY}+o26`vT;^GMnsVGH7IHV)h%8jZ6V=svp2orJ
zEPpSDZc+S2IGxi?cf%F|$j>U(auy$VId3s0k78Y7_NC@e^-kqJE^5_#QPb0`Hl?vI
zO><hNeoM|Pw^bh_H#%!dTUkJIU_9R{-MW|?VUb%0O8IT{igBxW`gHeIm3{UA?A*$E
z;d}0Lkg!}uWflv&f+k2*)YwXx>w`t`YAW=umc08mOQnA%!x#BiKHE<Fa$At}d*bX~
zM|smDn=32FsS|?vmq-|TcVZQn4mLO`ol0F+c+M__p^WKP-@Nn@<tfXdD)J0rk@{Wf
zONM@~u{D-96(?%g#A01Q_q|b3ZUBW1E>f0TMyD2{c9@kjw~hsF5q;f@j+jN{3zf`c
zYOm#T4bSN=RljSrVRyWLUM?2;BcblFEFm*)NXcOLKDRZykVo;jCdFG_K~#A$lYH0!
z7!A;x_#hgxku6tEmo+(3znGH94>;{dUvxdzujWO0Tow!c>qH0WmNP+cQx*l|QS>o@
z!B>gMXsZ%?%ODj9#UxYVB%<rPi~ynrQp3&<Wl?f?!qb1quYh0`qmM0f&&WYw{Z^Na
z=7aNeIJD;2jX!2{g1WwB6jObh3L?5)Di8L7pJ>PRw9N|SHtdUxV=5`%?qmocanzd5
z!7UGD%#0rivD<eUQVo3wf?JDFvd35C-E{jpU^uJQw?>=e9lO#qs2Bu>kD<~a(kz))
zjeds^cszR>V8$p;n<w}om*6Ns8}}1VWbvQ)h_a$xoK-t`!>!ndUxpu@bfE5KYCxIB
zyV%8~Qn~aRFMcA{)O+(i8K}Y|D-;8huYpokrbh2gv_`jc2Yc$8k&^Jz?(bWvgb95_
z_!BJl!U(4&#4>NJf%WF`$!<Dw`z#vfpu(jiKnOdCWJ+f61)Ht%-5MK*mC-6nhQe;R
z+zv$C{%m{|r(4Kn9?R!KvOPl059+e*7D#&T;(S+qI_xY@2<4g~4=Vpfje#}Wm=WCE
zv!SRyShnu$jJus9SyUW9=)Y#C$5j)vJDv1lL$7%7hA{nhQ>?{Rgi?}=@Hf?1c{ePL
zT7=4Jau$%nu3lMZ<dVF~<-y{~F+(EB%k^s?<~i13e45{U6ZGO?g7u857=LsY#wSJh
zV*yp$-v>0VLd*(C-@|Oq_Oy0EciTcn`fP@u2=PXgB3%AA$Ghq>9!VD}CD6{6UzVA6
zr82$U28u-7JtlZg$m-N)mc#RHvaq&tvhc8!=x2?k8PBHDX&}T<%F?S@Gs&E%5GjbH
zK&k(k_LyTM=%o*T{X-$=FP(*af7gogK^hgbo7FrYQe;P)kQk(il6DfgD&YCF>4ymX
zu{?Qa(<>ZymMup1kreCvKcBmz74-=a{uD3n2?FmCf(VIMYEp3@N~q~#E|N^Lo9Te=
z8;pxLtr>Ovb;l&Bq2vGv)znxC^m_`Vm!co%N{g&|s37L=Fc7Yzp^}y@l`d;7`hMsT
z8slq1BC4t5(j!<|$o@3t<-@kd3Y+@ogFhnKrY|*L<eg=exmMDQs=W-ZlC1f3FW7NQ
zRXsL^O3i6y<9`{CU8y~POlKq_Hg;}?Zpd@kT)mQQFA+o=O-A@~(Ons6To+yXFG)j#
zA~faT=VkZ<F<fWn$dG!|#Pq*3--JeZ>6rm8Bj+;X<Uc|xO-vY964GQFzPu7A)I_bb
z%UN@bxZVGZ2jW<a^!s#al433U5Gnb>`oi6aw=A|>cYWc3u9FKX-l6<6^i)IqVAgo2
zvB|=W&xWpp2g422T^&O4=lz-<y{+=|wCnV>Df5V~(1mdwKb+s}!XlZh?j>py^=sG+
zQ6c;dw8p+U*7J{cs*IdbELv*!D|kT=m$f_A8KNu!hNnuifoIO=+P(BFdSeI-`W0rW
za)pwRtSvSbUc3<{=!LO%4G5`ecq)+kJKZmq<L1h5xNI!z)Uiwfcj!E^AY!OEKe1fj
zm3lK-Ej?a8m#cDA^!WR94UzK2pqp{KqwL;!wMsrAFag=neuRdFw{Y{G7)PnFucK>k
z4PZ~76h)#zFVF<yG)A>uM^ZuJ>m59}C<Y^7brwF|sTk;$44dH30nPckkWyeFD!`!{
z{>`YMJ1b6QVcXzK4K3OnX{uw(3EiG8;(jt6^Q^V=Otl)_>@tqq#!0nX{$&1ZsKLf6
zko+milYJ2jV>j?HwK;>W8H=Z97`F)~Rq;}^Mgs;%xMj6z6xM%-rYQI8{3CmyYnSvn
zky^Y-!gQeD)n%8pW%{@HC^sE#>kz)>OQ1^DMgui(fIKV*XLf&3M!>sjKh2fK^yw{R
zn{Jn?bf3+Mi(5F&<f;d^a+5YhLDYVSJuJH;IdPH;mr^J7Jb_?+CxEbK3Rc%C6nG)o
zhjN-=Au#wVTW8@01^4ipv9{`o39n1}`)&zV(4NP`EzBNl4VuJetj+5dW@PGRc&y{c
zW7jJzQ(RMa_=p!Ou?+A-bwgcJh!;rGZ84lW0wtOIUl%0_N|i8nA8j>0&;q3cxOKU>
zKxi`FH>_TJ-xR~Y@7yogt_zMVStqVPD9`3e6g1f~ITenqW?YdQZn6g>N9=PnXV`$w
zgiY98QUpVJdLI(AF@7xC&erJr@!8lrA8OVwHsac8lnZb1o3D3T?J9uPd0ZOsEK-)F
zbarEAvbu2sg*fy&ki9;KJ<kM<$aSfIFV=o3n`J^oiQK7n^FF{vej%?rP}Mtc0I?OI
zs)nH+D(_)dHmGGXY?P9N-v^o3skQ=efNEG<Q0)0^we((Hb$6{f`dWv_kQ5YB)$n-4
z_C|@2RM@^T)rZ*cj6RP!)I-O=E3BZ^tM_GgGmcupyIJ{9+0DbRPBgwSy<1U(h9J(u
z-c`VFhhHX?Lhv6kb3&jmc@U+$z~`#L$tS3yU)X+ito#LkDDa@Mz8i0e>=iES4y`n<
z5|_zzAKQMK;v)4})bik$+-nq$bdqAmUOpoZs+$%cXjP-&4S$Ddp7EB*+PV-3xgft&
zl=*dfJT>;AOoxye5pXFJf2^^`typv-yp^J%3~M2n1t!E8%4Z;a)QK&bi!u1b<At^V
z9_q$qSTgg=<rdUleB-?-3;D|lB&Lafm~nCs6KYlLgiRM?>pqPuG9jC@#D3?e4pFck
zcpah=Xs_RX7P(}tKg!RZJ$@pT>?n>pwaC#smsVOr{)-uFSQ;<|npmo&0Aec<Wsr*V
z14l=ziO78e0v$&T#W;Ltb-J6(7MDPmI^_s$_9}-8%Q)721=HGGj-|(<x$%cHQj3{@
zujZ2AxMPhBC_@mX#Z-%Q5=FIXXI3Q6^kg31uN>A%;$O5t-xDjdktw|)im)Q_kKZje
zY_CA*5*_51R~uKeeopfeBwU$10pnP*U3*VGOxY!!InOs&xpmUNcSBY%93bC}PG@(!
z-wZy!*Hi1(c6a18H1s2DQ+1$q^{{{fO&42Ao2`hRmG~e=LsB5Z2k_Xvi|s|E8wssf
zFV}q~;1~~zV*DJFoisP%iraI^wA%T{=Fisdo0dkD7i?|NC2k2+;vc2E4pQPdoNzv-
zQqL_kEhJc4W-#23Qy-_21rOJwqY3<yy|o*!Fu%%<OU|}GN<)Z&96t`+k<W*BJexIj
zHey6nN+*V|BuZ`zI{cw}K<&}H%D4??H}^2fn}*;ByIrnxtqciQn7*aV(`g9^x`8I;
zOkHSptt5Z>T_g5$3f<n^5WWoJ&=~Nk9h-lwXSmccsboE=WcE%9R74WBMj)bVS1m%U
zRfi_hiQ=mX@p5GQ_k+8d+JknbyZLKYz0YtgR?=HI!;GjHRw*3>>S*M2<wm&hoFa_d
z_Ouf~N+|<wgeUn;>9h+aUiah2=H-c;Is4=l3V6H&)|5wFNWU%eOVx7INaa~tG5#zt
zFG}Od6vBcK)4RAVRyE)d&rxi_tvI7Oj0bO&`90R~ahlJM85LQk42g9&`!oroSjDrk
zqB6@n;gHr?sTxWX(fFLyaxSrwFZ!;D?nDmg{=PCUv;C==uDvQ5MA|v}exh|KuMuuY
zZY+5Uad>NC{76gMAZMPL4uw3IkFHs=u>MVZ0N`ho$JpiOm2m7+Q~~=8%Z>rU_w)U!
zlPD0Y?`MJgGy)l-_6sICebZXOQE#8s)F+m2rlsh`3+zfV)+&?j1{%kCC0)x0YIQKf
z3ZluesS5OLpRG<QOO7Flf)l9I>x20GHkEV<uT{^{m!j4i-G;5{Gv~XCpx~$zf@4gM
zVm2%{@@A4Xmi<1;iN4UxSv8E(`~{(zn(jdI#8G}*Kb)f<CzMs0@J!i&I7YE8cVYdU
z&6yu~$g5kux1I5=KhkBvh<}248f>WZA^)aef?MY{H2T(G8p(>A^YV@=IstOMgYhr0
z{v8hi@L66Kwa^SPZM`E04|@fwvl5uMi2*e4|8`I~YLfMI`3AmA(OsT)z!3|i(UF`G
z2&9zPUEyX2VscNTcT^=Qgk9^~>l)q#kq!6ndTf2>@A&*mW>>4Qd83_|gdz^_{>ed`
z7JWEbsE%}q<yy}?C>PK?OgQ1hRZYy+(pJikZv#3>4+^)ve2%gZmrX}idftsFM&hcZ
zn#i0X0ul9=WZFqlVYDKqP<uUsdPr{18{r%-hJa|#BsW`b(60ld{@bQeB!DsH@2zQ_
z@LWURmH^|+Yo5{XSqz{=35EVUim&}e@h;2$r0vC%?MMmfA>5w}c{X5<E*VkB=>Sts
z=}4n_Jp`_d=Q4qx$wyoCE_hQu{@nW^bxay~W><mM1`cY)eTAKezLIce)dvr~ewa?k
zbuO%|gpR5kM=_XEOH+a2^_>$<=}4{+ST6iGpGja=F%zz|k2q6Wl$k>~AXfZqeF?nt
z&X!0ohg>Rk<rH_?%E7~LOJ=j2z&diqfGEU#co#3WyYjO8h?3S!t5T7{OVcd`O+l&K
zs1Z(kq_B3Xd~%!Tq1r9!u(pUjT(TtlpnOiVfU0fE|B4Elqszlv7&Wu!HBh-)CNjBb
zyCAM#M^uU4FEn?_&p)z-o=sL+egj;79FZVOOXiz`>FTmR$(ixtB|6o#*r_E+=bg~>
zmORyz(OB{bem{7!_i4e@+MCWRfGCa-h;EEl|KXw?HUuhN`yeny-q6=o1m5USBUs7P
zJ)M|A>p}hHK>m6aK5teE%r8Q8{H(Ab!@0wi4$Mijtz`_$sShG~g9>X;Ie82et_ZI@
zINfKa-=m!pZzy3~!X%z@^sG%k*+8j9)nn<gtjEW*D;|fmhH0Q(Dj_WG9D$#6h0kl8
z+uuRSnMjA;iE&98Di`le{$-Gf%etV*Sm)T2)Uj2mx8Hxrv-*sh9xb2;et4>Vp6{k!
z%MI@2|M4oaX_rrSAxyI~?O9eaT6}wMD@WZ`*77vGp{Umnba?CFk<hvzNRR&(%8u+c
zV5mLO;3B`_Wn~CBvn7Mk?)z_ScO^>xn}mVK)PzX?C#`K^Ug#t|)(AI|X){Yab%`WF
ziZ@zSx{PNBZP}$%FclJB$m{h#E4z<wH(wo@MR$z@nWozOGQu%`Pp10kjj*r2!{v?b
z?Kk)#(_2D1=q#k#JGmlFnmF`T+xO>|U&xAAVH=0c4alpc+um2XA6#Uz)PJ~Ezg8oD
zWrj@tT51tbWPE#Yw^0?#qWhK?dy%U0`x&}nlin5afUZOb<Zf?N2r!|#7hH15l1#s;
zFONmy^RVM!j|>2nJXJ^_18b~Rd<I88#cmVGYrpg3Ulr1tU&D_`f@%WB)VHtY1*2X_
zJ5>~VrsccUWVd>*PuPCYp2-4J=8c*~aR&6To+Z+M50YkZ^}jjWJ)4NL+auo4Yp(d6
z!s~RK_;7b7J#sbTec8I?DE#`&&o82`1bJ<EJMFj$(-sA~54>(Skzg25=PU`&4gGX-
zMP-DjPGo7=6Z|DmkSgucnIb)aN4OUIo?CF!bUT_L-c9$M9DVPZ8LyA5-TSv<QVq-&
z;gW+}bCT={n41gYT_@YJDaYjA55XrGDo=0ml}@GizSnWMz^(WR!^TrbOItszLU%ex
z>nQ=i+i;{%{Mi;{jGuhz2Lz%*j$DErXcfM`oM)HYRt{vFle#dLn>;W0uufF2n3YN3
zI2DaVDjvT`IO5Q&Hh0`rLr>UxJwo`q1po4H59V(2<I_?7L}yjn+;6!}i(@F(^U<h@
z16ZZ<(AOb(71=C?PK?a?A(%8;;3Ru0Z(E{lA|md~rR-vt(wxsUDg+Rcu$b)z;fKuo
zt`?8iK=ZHdOg++=Mp2VB<lIk0j4Bjd#hUPiBZVl>euYDt&{(q)yNXaaCw)<nZT0p&
zA2+ZaB>MUKYZ$@6RS+^=he=$v^wYxJdX6{b$dAV4r2~Ut1dB#r-5xM+qo??N6)h0R
z<O6LVt5S?q+hY;Dm=!%n6%6Qy)v!8)c>jXAbLJjr^4eF3figCZCGGy$=|@qc=qK!P
zF|NXM5tO0%$R=qd!D*_cgDvQHEUy;Tz^b=rHHp{I&TRb}Md>eTR#i#j)_dICn#p(&
zZ2Px45eRBrBeA~PX&Ba7h`w~STaO{>Z$lH}EN?-R@WSxL;{Xj1@adNBABh)1=dM4y
znIZ8tYs$$>!(TVzaNqZxR$tiICbjy#&^BN4I^8kFuOK-v-UbJPwivYUsSNwxwlM`>
z5uE|?fWnN1#yTdcBgr#we{e|g{`;Y6y=ak^ThR-;5#Ws~qrj*L+rp7g$Dcj`AG@3q
zJo|ljYiIHw2a?V(41^@=b!Kn!1)3-Ze~aBlJ58QFXvbbb6M19QANP-4qe;^^mx+=W
zCn)XAbfUrxB}5sI;*Z<GWK%uKV$HB7eNfq`&{<W9^5|SS7p=IJiej1_D;3yw{zZ_c
z?P?mBaYQk-_pD5uh5>*5obgd1OQDjD3+{CNB+6_F)&9Xiy4cE(K3*5X%)Ut)C*fk*
z+r;?JaXEY9x1t{uqEe1B2X0-`)(z=kpWi)uq39jq0_*lI8sNZd3i@K1|LkS@<a4ia
zwI7}xvsbgpH>c2><-0l;F_RQe1Yf|C;q+IgS{&+D9EV+#?CW>C`w?mUNdCE`6iBA6
zCTB2fl~Kd|9p>L@RKdE9pkG9b!6d!EWsj4hfNo{b+4`Z%6bOEUfI66VKak_3BqZSt
zO5Th-S|l!nyzg58Qw|#%+;gV8@U&cbL~Rj0-Yay84eoxW?cRXC^Vy~~3H}bH$rCg{
zK_8@0G`e*>clSSor0e%uM=VJOs~FiV3a?=z&${5MMv#REmvrFts5C{trKb6q=|Gya
z-!f_I)$LCJ4V1gpiM}Z*?nYI)`c>Rv|KhGg$a9Xhy*!0L(8us?)XB?arKg3{4zo?_
zpKp4JH*?Y)HB45eB{*l=x#L4L7b2C><YrCS>`#c9RNj%c>$k^f<g9I`@F(5I4M0Xu
z$a%8Cc}vW4qg+Wmjze<R{QRg{VMtKmU_Es!a^x`%n7yieRs1nvk26?D=|x)50dWGk
z@GnQ}IMrwpz0X~Tyo&I#ik@2M(Nv-)DE+CiPkk+KyY8E;bne%IZj0jMa>^5z;bBV8
zaaf8`vjlBj+X@urr3)(&<&d?4ZP)nL;dA99!0vAm>C9n%!McQ$jHjwZO6lA>+|Q@C
zg-^OFz}X}yN#<^cQ>2?O<hfLnUni&X%C)$HNb~3JaQ82&#GF_l6Pzcz(r)I4^W`e%
zv0+?vzU~pbHfV!+&F61R5(B%Jc*uR0zT?NVBs9l4t{U!e$*HBdc;W4hkjOG|ycH=8
zCRm3QVdyUv?|B@@$<8Vg3Mg@R4$qwa@p=xfD&%fASyWLIWB!%sDEfa2C@~8IttTEY
zff{ZAcU<w76~-k4;&PR8A~{k;gORfS#u;-bTVrOP(#^T#XW#w-6Gvs){XeiB*8dl_
z!^Xz=KM)TS0V4xDE9?I(|8H)Gk&%Om<Nt&n{eN&fEuacH+Gw;f-C*Pr#|S#X-QB_v
zYXZQrENdNLuy`~b!VMtq?m^w4=^)T_gPtdQ+{~FDe^qZ))qQ-{Uwqy-!s4ZMqf~~6
z24G390Rozwn;am3N>p1=IXD1taCU5PaC9tOT(%4=aL@FdSh;i)o1oVKh~L9PQ<xwj
zeA6X?3+BS8;1B|ft8fF8um>l|CqA?jgMbG|2MF)!g~81P0$Ar@Z2%PwfGD^G1n4YW
zl;Gm><_)Q=&z$r9aR6e@WB}y>1J-H%JO7*8F>l~R08#)Hsug^l$D9px1E2+WW`MZ-
z&?m$Qtu0g#7j$!TcXwwi=!MP>Zce2@h91C$X$7+g(h-=mBY+;bO9QMD@Lu4rZ7f^_
zY^fcj^QUgXp((r-Fh@AhGyrD<7u3nq)geS9FduMs3rGuM5|~8<`PkO@um?sP;7<oW
zFggBq@9^*O2L}@Vbpp%E=HB22BFr<0KpjA`0SBs>q-qxAEuaA)7&&SuT$md@+{8Zz
z1K9?g&4c}=!i7jkT>t>c=l(9|M|U=FAYKWb1+{tW7JuD0%&XS~Ga@`Su!j#4&|UCb
zCx>+d%jDnhCja6eZVlz=5bpU4r5Qwkp5C|B=-_I)5*U!HBLKbdx5*Q=_)F9bECA4h
zgM;&<^8=WG1bAd<H~Y&K*j`3_PEUGjfA0j>w-*N&4>)zkCeUvnJ^z58-3C1e0}{y9
z73|ydr~1V%baVou88}l2z?^`B5&V*WHfNl8wEyPuH*WwxpdDxa;Q++x_y6O=<Yk^2
z0yO&ff&bJmHd9ALU06yn{4GEIrzR!E<pI#6+35*bqtk-}ASXwMH*obY_|AV^5j^Ox
z@)%wpG@=w(;NZ?F|L#JcwEJfmaLgYq1oFScBNg1dOlTm6-|+J=oF1IBdHlIQ^RB<s
z$G`E%eZ}8;k-z;Y6WyEZ-zDZ>+xx#o;G4n!xFHQ5=5^H19#AT{`EGy@eP!N-{pxC<
zCV=j(zj`%5D4#tr$cR<uVogrZ4Gxdrv|wG6K|BIzSB90HPy4lR+VziKdp83JiQPfa
z@2^nL*Q0}X{N1Od%x%7YBD(pNZ)s4ky~4jaYG6k9hWB0@ogN>6f@bCg<Qvbm`3Urb
z*^i!7G=lj42^a(OU=D$NU4VJsPaqoHoJBwQw0QIZx(DrN^rL@34c5QdkUd}xz<<FY
z0N4KkJ3Zg?6N9&%*Zz|KnZWEGz)wILf`0?%3u*rXb^zR}`45~i5B@7I-TxJ<ufGBF
zq~^cGH_zG)-2YBR;`{~h0J#18Z;vRQp8!7q_Y>UbcH;&9T_<c?|GxirXJ>Wu;{)*1
znllglk^Xz#8XU+oU}h2RAI?l@kZo14c0DzzURSdp{_)Y^HGg!6z~Xiqq2u-<L<&+L
z=fAmlorLrMhS5Bme~$vH-zx{z@)L&FJZ8yRl@c5p+fWymY@$cak3uJI{)=6uUWYG@
zg9BE!iwH$MbSyqoe}jIoBqKsAU%qR`^mZD0jy>(~)4(TYUimW_4#19%6CpeM_iro!
z+Aev*f;zn>DI?EPy}*?d8J}B*Abq!6@&^0tX!rV0Z3+l_Pr|peKmMY^C9#n{t7&^y
zyvl?NFr#eyHjS|FYXHMz5$ii{amG|cI!25_+0gq)=GTT>OK`bL(a!+4j~-Lc>Ie8`
zlB-IjEgW;WtZ|_l?&9byVwB`Yh~7>wZ0WX%iIWFWQ{{ONRAqBAe{j`ivqOq+N;Nq7
zVQh;|GIO~ylxFzC<K<H8-`-PB@>#`jqTn2(0oo+nBdz}|K}L;*Nwz0<a_WGiMXH>j
zHGCTn7cQ#X$OY~wplpF1U?%+j`(i{607p83=Sf^|YGCihRkX(|a7GnzQXpRRHcmL_
z+|#dK@1X>8=UeZ8Hitt^RRI`wQ!8<Tp0ykCwIiY<p6c9B2K{r*>97uVNMEJNk?f0U
znPmsi7J~dz9`qf_hSO)^WwcF)j74RKScV;Mqx!F^{Dbo6c(+V)uSt2r6E0QaG)Kg9
z)4t<Qxy7+F8p5Oe<evR?m?zgS-1<mS3M*HY^w+fx-6gU$odD|!OZn>6qJ_sLie^`I
z)}s+P12s3r4uiQVKIf;@F0=tO`1s7vz6!UO>3X}+&64+~)IY_8rekk;)Y*zC3C1SU
z?9J%ri~oX6OMYoHoKTiAV8KcG+xJiB6sQ%?`h6a5*t%Iz0aPSdRcbv~`@D-1n_b?a
z@boLx<HAuO!T&%Z!vTqJHuh@zurH{4Dbmk@T|>r2B{-{Ee~aS~ED5#o6CPWC2T<s9
z+VPvDs@CIt_`Skk!Q7TgXUj<%0gCpxA7fcaj9WBKujo(nZ&3<D`Z!JsBu{94K3{Rs
zAYVSMZDyyF^Q-cP0ssJ0V{0RGbt$EDAYkFGoDVBP?5+K(*7S+aIpSpdLnZw``sQ%Z
zj$K?nVS@-!#{IlX_0yGe3W1hkf)DKs6d}*}Zr5UEegtP_rYE?gPlwYgKCURnTm)}z
zF$2fnfij~4pnZP^tc}RIQq+l_UeH}2;WsxZ^d3H<cAAh}z>n~4oQ=vT*5}J<Hh>SN
zVw!5^y!Sz!VD({rkl1>l%eAEgVy+m$4xhTH5b74?Yqd_O3(zz!RojH7W0LG+5Vqes
zJ1OW7XXaj|nh;zY4=%}Czkychq^GVJ+%J%2@n37!Uvy7MDy-Yi-5QQR#gi+^YvZ*-
z@-K~C^!xo3?PQaaMV^>YHNAa!h|r?~3ur*44O2OnYbrkma@$X;jc%>Cd|w&s4i0sz
zbR<IwyI)8~HZA6g#R9<CkY!AcvDp{Jy_0))qvJRi98DFO3cC$e^z@Vd$~2x&R25Zt
z<~6u>8d@t0R;6L9TY_*2m{eSUj@1D#$+CnrF4W6gfJ<vJ>DhRBVVwa-fvgxnnK<_H
zR`8ivNp|Qr<jMI1oh3BSlCqZ{4KF|5JwS~|T7VpKEIY913=M=89F70;D#C4lh3!D_
zhpUO#;?g|3@m@w@7@iv-K77T-*xHL61E<Z^c@9+|0(-cJOw2=aXNB0HwV?##W!9r-
z;V@Maxl2W7@EmW(ggz*cy*1~X#nh_YxPZ#P1)naa+haoC+f$O;T5R&|j2ueRBEm+=
z>1uP>AG`HUzFeNk;iQtWmX(?GXj8t#&?8dUYIM0$21B|g!jXlgJt^EL5mG1W>d)_R
zXQH2>UZ9n+;JnwtJy+4gQZw*aO=-}x!w>8$CbWVK2vy+3Kl%>R;wrkyJ;H!K6d^k3
zw5My}b1PK!OIE~glY%&>0#ZR)AlW4{?6v&|?m1tSxJ(QSgj)6`hvn_w0Jf)20FQkq
zgZiR7Zh>s5qQ%m{YbQLT-_XoIYTBEQ`=9~v+5?;;<(Q8YV*N;Nq+aX9e*@44^|sv6
zl73x}O)jH#C1Ft52L^Y5M(MG}K1Sj+)@5#k0IDKu!Aip^UfatgV%B7MJcLWVfxuD&
z*ETlqlW<M9Dw48#0)bSS<$Bi`&N91O2fC{1m7ZF|ksMRD9NopfFFx^^Ti>os>s08k
z<Xvj6zYfvFw0UAq9wAWBoVa<=u3rBt;5`+lB~`k-rG6(auB&yZ&neEy-g(@j4HXlf
za}}f<?YRxYBxXH0Uv*>!a}AiRf<Tc0TWc`z0#m{!O70;%;kQx(>-4F+=f=dVBYYxi
z!nhxSwvM@S`ymCwL=s9e=NXOIMn|}P-pOu-gAdSoomM^W^^5xoY6S$cy3R4lOpnU>
zLIlV9|HsRw%%)3Aj+aQXo3st}TPP<XkA&mMTl&i+==}>}qA4Dv5{=}%d{nG7Jd^y~
zO>gEJo)09-+7Sr`X-6wku}>Q_f&<Y~*|Sz5jwNlpn$udbNf|Dxabf0{x}_OLRM|OC
zTmYxc!2_pDrqtmwlhQ#u)a<vS0(@>bCscdAKI-G?W*Vfc7+GzkT|3T7F8;%VZT%Us
zsil_DHY&1JE%9kkxcdxnFuWxtaI?|jzVXx_rFiB{ueSPd_%jM|J>0r`K`-JX&Y5;E
z{+iQ|I%iEf<J@a2mzS!*Fx8y9{6naIV<?IMVb?AH<p?~F*u(3e)-J=g@-fJ{UO|f{
zhLplJ9Ucd9q9Sfs?OKly2rMM5e$=1Bd-GeA5N*!VicCNvOxLbsD6}M3nVty!+z&+z
zTtd|`y${A2G11p5lz%F7>x4)d8~qP=1=W$6=ykk>EXkez0pytDQ{TJ2?jEy0mTy4g
zX&?kIHk0sYCx<?6CpGToYvQgsAA4<l8XS!srl>Te@79w;Hj*$sQDR3D+YR{6s>|vW
zYi7Pq?b3(PK%bG{ikLFEH_UZ|e1;*+I1UB1g_TApRSI&rGZ`8eukP$8HAeNDB9`vD
zJ)Jm~4N_oB2kG!djP(^Y1so6w>UFO%KMTTs(B{XxbHFn}QbMtk%J%86n^0}%KeZeg
z^9*hR9R`?+HaghY3}mF)^DkTiLnVp!HDB#q+wZ5Iw!!bX%bDO6*U){0!iQQ__qwQp
zte43Q<_LF2;Ly?8Am<zg{=y|R6WPThZ(irZF=_wVczBJ@98fsEjIA<@basG-!VO2d
z_<R7^R<oXwXa3c@=~1D)gFtfyS{DX%0pYT0dHr>nLoe=yp6x&%3zXvOfRfge9o>xH
zPGiSjrQ;4^z=a{LY%*}?^r|Cl7DBQ#{L#3chWu#M$Gx{>UJf)rFZ!J1DKsCU|1vvg
zuP79=yW!d~50>kc-NhGZy8?SKL(yUXC6|4DWIN31lY^%<CA-uK;iDG#%?}Osy9*b$
zsa|ET^T4s=%fz`3Is7KsMnU|DlSYX3%F{Ye<3mPw!;5v+W9w*Rnewk4{%V^v!Lr8h
zwNA3U0}3HA;%{-}Mxl6rUYOuSjx}Bb2&ep!JP4d{*H~kL@vA$A9;biG4YQTVJ9APf
zA6oSu*OG5Y+lWA~N2Vwgn;yEjhI9dp^B7v0P+2*R-lUK~bq&~iT5`_K!#hE2W5YO)
zUFLJEuz;wFZ;x}q!gG!5^zX7V<abAIw?x78)?!zbLxQLMR=wOS=30$Fxu)*6DWnfs
zLSaX7Ji+6<KlX^J!>mxU*-Jk5AINhTakDZLJFFj(NywW!ZP7BbjI2h)K#o~9jfxP6
z1=}1|AIoz$h=(wBh~E<w|FHR%f~TiP)X>$*c;MS9{C%b~3dW(PMBKiOhz_Yt!wYej
zMi}W)z<#XWy=3J7;r$#|zW3u+ZB?Z;0|+*a&rpu_mgaEb6Q-Ouc!m4CO2TtQq6-(z
z06Pn`e3FHVR-cm1S3eOEXCZowmq&HUQIP~?0Oov2Wi9ktiK{z)3lRB&E+}I*f7nWU
z`tc>r>rlZU?s7B(CTsCKmR!y_R<<~)Kzbf+e6s;>OEsCreYw_JtT(otwyt_%Ma-Xg
zM~d}id8ZxxS_T<|TWLq+^&55SSfsN<Vf(EVhHNvvJXbT(z9t`GC6aL7_@|C96XRk)
z;dI%Z)bmP-%+M0AY2hkO2I^od7M}*Qc1dTH?=X@7{oujAy^a-CFxWhdB}aT39$l&I
z)OKd9jxD|inpwdonl;Pr06*2hao#QRBld2mgtXS(^0N`s)0qcU^bL;m{SEiEku$sw
zs*zf%KRoQ*8n)7BB+(HWDN06uR?|8&WXn2wvDFo^(V1Br_iuRU0sd3P|Ax_qx$ucE
zld2A}wET@oS%7S!qh@5Od)0Qi3-n4t1pn%cxqd)qeAzGcHFn&hH>JC0e-<QCgX+uR
z4LAcna}C#lh&k3&rXEWQ`!x-9=SbhCpU2A=#~`wLMQiwaDT(?fb@<e2>pzQ-M*sZq
zPV2w@J-lCC1r?y9JCEvFzV;1?`acwAW{r-d?h@Q#qB>j@q7%Ka-}h>hFp{r|rj;w}
zE0;yC!}mUPi&u20?<m`z&WQDaNm7R|u|1cyl(h3>RC)SaTDC2ZlTYXmQO;u+H!zB*
zz2v>&lZBtT3~J0f>SjI<6Qe-y)mg#!bFI%zsC|1_mdtvEw8b;M{jjL(kjAf_HA&P<
zXH$?Fm@7m#rA}#*KOf64*91XrQ4JkyCI*hKo>{fr{iKo_NtGI#w{PhQh=Xo681(=o
z@7*!EaHVj<vU4m?7Td>}BZHCeA;Z+BG%7Ot_L>PQWe<MTSss3x33CTS7Q?YBD#%HZ
zRv$UwI>b9C%><Tqj%El(V#7%V@uNOsutgz_oe+x(x6*GATVZw$2~u;{n04q+h;k$U
z??$+tzm2kYKfl7M^8s9&{nqVb9-S2LR>NP(QbVS3H5NU+Lui1$iO`vnqNx+Rzgb8a
zZ@}NCZ^+zljwn-)pv3-3Xqd|c*bUA-_!%H3WM%q}7VkuHtp4AGD&9y%YcFgq=4f?3
z-&jvJP-9nOBr+eOKE2`6nPvMOz<oY#kU-|RGyU;@a2Gt3(wjY>B-fh<js_1udfkLH
z>5IpMqnHI&%N^#8h|aSOMsX~6$ZXNI`K<d{TwU-=S6T4i8+1fu-K}z|efL<hPmKs;
z8}>i1h#wU%a3zI>-=7B<_Kl}9NCzDt$<{225xD65>wdKRPfv6DL3VfM#PBRp<2dco
zGWui=#Y?k?=2r2$)fYL9zvsZR;kyn{zuD(e-k>=5u<EvN?aQr~2^S80{F(+muW+h(
zNh0aVM+8En?Y3wW_34bYAD!VOrF`7mKiMGZUc68tpB&5e<F4OZeL7h#gjRUWKCHaK
z+G!uxRQvhl{xv)Nb`K%%um!tlcL0};7JOXJd~fz_rhCo|4(DWIL5WYNuSGYQe`x5M
zsbs~z-Bp(_A~{w(pQ<nqv)<HNi>Br#IRcTv){_YIwO|_ezfMjO|4b2z;;^a&?c;JZ
z%6Pv|%ufT0%X2@JNw{6VqTD-PB*vvn<Bkx}<p1oL@;HYS(}^|+2l?PvpZ^n3_Y#o$
z5}?o0VoAaDP_N`R{`vtXd~(&m*LS&DmpHilAxpQE{%KR}u|{80o$M@6DD9mLYDl0?
zE9;TtCHjVjWknjjLT*L4%&0NpC@e{`=E1qazfDMy5Wc<ckKd<sX$&SXJw@hNkpBk7
zEiWWdskEj(W6ifw6E+%fKS^E)L_gKgnrb6bDEw<JTE9r*&*88m)QyZNqWAwI8eTA>
zWZo;=&5ztR&V+j$FaQs*B)?ZzqVB3~SRY~6Q9N)3L9Y0Ch?3KY?AJWnl`|sCy+-rc
zu*tEPIKZf>6>K;~AMb*%#~6X=tTGvN`lMjo$Zdcj_eI!i884>Nyo_>M>pX=V&AVrE
z`rdhNrAX{zI3v#1c$4@x8HM?3+I`gSM*WPz^;tqc%<^mWx=m8~K!51JB@p}ho`LGQ
zwU0U3y-%y&4sodfSE8T~S}RtOjOb27)Mv@P&nXR$tMAbgyzE7JV4L`^97ewysF7js
zB6?Ktgq<j|uXMzQ8FGE0b#|(Rxu!8&+^9*ZMOd~;Zw5CbaMPg=UYG1QkMuP1*u&2N
z^_0=LM4<GKSRGz{S0#wUt!kc`Qis#p(zdZOQzNLkkPpgJxX?`Mc*AGikgkYp0i&?j
zv0)wL$C&BMRMAu7{!zJ~R(@y}147m;=c3_3hpBD&6{uznMybLQB^?5RR2xG)Rfa7D
zIiX!LsW33txwal~475!`#XA8Xi98~}eDKB0Y9-lsjBS)%-eYHqudq~PZXB=*oqw<*
z<blJeM$fj28YS<Cs<Xm#FUn0eFDpG91{DT>r?kn&>l_)1XjMjx)39UZ>)jMowdmT0
zu1ieW6jre*cei6@5GKW`Qdz!4|L^CJgv#(I<@{4Qv%`~F;z`%KE96-)5L5hj>;P_O
zvQ_1pKlm-#YKG8fv<M*Zyc(lJ*=2K0G?~_(fC4-rH>k6Z7cial-z|{No-Wm&Np76)
z14k$rVYZyI?S+*J0jin~HVpHOdhJ+xnfO&e2}!C>m@We}#VC5n%eS(pxQlQy3S(eU
zR2?IwQ#J>o`mKc#aX-rBy>&EZGjIG)E6Vq7Xv8E&y(h*2w2$he11ob-vS72_0nz}6
z{Pt@@pHBb{d%Z*2a#Wa8bJlo#Z?(K0a-Qd~*uWC)I@g*vj4=6&Zy|#HoHm4XH+(;$
zNQf#tv_jPhP0c;wGu6tVa8PD=z@SOhX!MeLS*!7@6n-Kz^s*39>0D`$R@3~S%v3Ye
z(!N7idU>2=Ys;7cjzpoA*<nR#nB~M4(RH*tx;r49KKU2j7Z)XQ{bix4ky5_Z3ax2m
zRNYdTV)|x4I6h`+1=^ZH>1-FB;)K{zqKOob1iI}x95(qr&Z{dv^#$*Ub6%-<z2DBH
zslPEas{Onn^8G*FZb$UnMSy{V<}B;MuP>f5uumt$0hNx+jFGqu^tV?Z!ooshp|m?L
z^iP@&e;QNzd?_XUaoXKS&O6g~-y!5Rj$_=Tm=^cDcB&-zk+EckZOz|~B8|u8ucn)`
z-hGu)$PziVe+L68-gJ=3<l2KTk|V2khhx+*diT=zq-0c>6&n5D7W7ZjbBg@dWdE$F
z$3-eaUA9wmB5<vQ_5=5{bnQA&GjftCvmRFDa`NsiG%tUbW+Ya|pD*%gY)ur_OvP{2
zd!O4gW$tY2BXNe*497P%(}T!=dqk4q&c;gO6m3(c6V<a_LD;G=(#y=U<4)uue%KHN
z%Xhr^xmY6+Zbj(vOr08LglHPUU^9DUwJ%#}Aq~FNzU%iGw+KxL!%bqtg@Z{T<3_Ar
z!AZEwLY$!!?`*a0?D-cCs!PxmX&}1+Ms$?M*$Q<Og~Vbdp>o8M$@G8NAR3<}H4d$&
z#YbVr`4;@<Pb2XxzOUIjO23?LxZ>jd2`OGsN(L^esOzqU@0*HPU1>yH25c(1pXxB8
z`8iqsb=b)t?h5uS5}VIKzoYE@$cguo?VNijHXf(V!|5TuE^`^P^!L~^pbO=~OSX5-
zJ|?L6fyh9XHhp$WdB;7HCNp#*N|oTAO)%Uf4z8D34%HpcN$I}~Dw+oOHqJw-EuD?J
zkGFszVsbw`aucz%eA{UnFU%J@&4lf_o;Nhioym(1Mui^d_nZ4l=hzh%%a9xG7!<Mr
zs2+wx{BujNR3CpFb5+HPiJl;1q#i+oSja5LrzT98<6cHy>x$>8qI}(l(+xY4<3(6v
z=$wdlYVx^inr@^~p3v826`fIworW>E={HckUDQf{*k<h>%kEqUx!%G|HgW=;^HWsG
zz)CVtJaKg<aAVbb%bWl*wKyG#Te=$aD(OiX-y;RIjY(p$XX?K03Vo2Of+e8;6X<U@
z6d@gF@Z}dw+XC7qkJhO8f@IrjvralV9y7*;qW)db$>v5A<VLnRyi6R7r*R>F$bj!E
ze~@`X#1Oghb+4HLWycRXRI`^F@A+pdiejk>3T|Qsj5S;z8qz<|^YI=@JloTY=^ed_
z7-UjpOyF1@fw-7Atc({nT0gIt$Pc=E<SI|+5|?6&cch!LaqIwk2E#mKS7MsfN&2)G
zdYLU%g{B)<=9<h5YRElyiRSFdzJulF3r?MrT-`lC`kck=lIe-#lU&qhbx<hb%@Ej=
zF;UOJ{zOw(;yRkXq{qf+9zz1$_<qGMvH@Vxi#kT4popLsdn+lS<r0)!X^|7rN3kgJ
z6c0!FxhR>WmGKq72PXUieRB|*t>8^ym=Gl7<U%j#_cfM&n#qrah3el6t8ivk{8Ge9
zj3c1-z&%w~R7ZQ7tY>e5^GG=JSd;Ws^}DCIp=D{|r>sZP5Zf_8c6~A%kkA+7JpPs&
zM0SlQAZ53x;bG0ZQb+4j_!uzc+GNAic$93;bPx-^6w(u7%cqI%vrR^O%tyB-dc6F6
zTW#EVX7?a>dib-Kp!Ud#Dbaqh`MR2YljU?+>KcD)x@W@+7$0SCm@)g`$NfvBRhGz^
zCA`O;!?C<FB{{fL;ojR`IXazG*1P|pXWjyWQ08<K2NGjfeO4r@E1=+|HP3(%iC?4M
zVF6GYw;u{Yu&EbRoF;8*9$yR;m}~lo{HyQo(6)-SD(5;u2?{C8%+p@6B`Y(L$^G_0
zzfk4C=7HHFS!SKFn`h1S{Z(Ekj0%<u`B_~g^$r)r+{c_>ml1*ul3Zji3BLxH&iB5r
zF|>C9jaK@!S@CV4$;FeCj<k+$u171`8rlDJAM`3vtdAjVDeIwt#+vp`qfc*dFE&%R
zxT{NMfiCoisnoQ5cd6Gmm^6wN?zEOFDBj-(6y-hcI=dHBkUJW~wOsWOXwY`Bc!!N<
zx<}4$N^Kq4Ir58zFI2H`)kO|}hpKH(2b(O4E2&+(3NDvs>_^>Qy>k^}aq8@0Wn}X~
z{%#zdvF~94E{$0gG&Howe57x!I-_nJ%c_vlct3yoccvj4g&gLD(e!!yGZanhMy_Bt
z+M=D5@RT&>iR`|71u;&!0Xa4f7Kt10)X+SPFSh{&M+B8SgYGH;eb~2kJG@okJ~w-F
z*s{Zyb?A|l?>j)Nk?9;|r$_O7gef>8(E1C{qlcrK1=IFv@QS4}eC2P|Pg7kZy5Hzi
zcsQA;qGWY8bKuv(7LP_{RSmU`u)g`mFaZz=Vao&X7s|Im+f_Cy;%Kuz*(QLVT`z*2
zf6gN6M~?r(g|s@bNsr-m>paFPEc3R><lJ|Ks?}*V+5z+H!J4ZqkP!%kYO(Fwe&5#&
z=qZI0(L~LOUG!9I9?bThlK$gW@43gi`7A}aTy!BM{lRW6#+FJ^HgE-v&!<#2Q(BM?
zfT9Vf#>H2pyUf>7fe+4~ea?uRQzL@;HPPEoL`YKoiRKE4f5dx$WKo6Sf%gDH(USJR
z<at0hB4atWq^!rU>UC~=k6!SldadliNBJ~uO}*^?nI-(_yo!dcx*&`SGmz>kMPK+I
z5^6{{m@wG;CMftK#%e9da{dR_&Ve5WJssW@2=&YAUCtZ1Ots_jT;0aZ^1Q6p77W+o
zRr|<{qP~sAD*f3HzC5og)k^hFKTt1kZTpoHa5@9In$-g;L|OtfD>#op@gt;p8{SNN
z6#*`FC#g6CLVRJDSQcwaM8@>(3gA!9(HD=?z_AWn&$4An#MF;oHSOCvvb{r?eVjYh
zeFV5);bMU@fM5^dCXO?+arW_q&W6WlAU<NcX*)z49FfGdC~jXlD}zP2?h&T~N*&7x
z*)@@OxNc<4Ej7CU#D7Y)QZDQp*gCsAdaub21UJKOQ$oq-nbRCaq-3UMmo4SZrVfM;
zNUX0ttrdHCvn<ML_u!fMtcPYUApoKv`e~)c%DX0#vn{W5!enDtIVS)bS6%Z+3L%O~
z4-;Lqf>bl@u|h(Q4Iy_BF<-M6_z+5O^T^`z@;#c>>5-B$^MqWi80^<g#7+gYhg@2V
z$}8|z_jJD~P8|u??2H1*0hD7b%Q`_sL%7SYq51o7@sl6L;*a}A7^CJcPGD?+kL*y~
zeLlB@uy00cE$u;&*fPQNRZQ&skyithx$<^tR3=;NOAo}V6m?_Q7EyICic|iD#{bRu
zJE!s0c!@}@(wFy&F*GfP{vPwqBDjg-1v-RIY^K=mJ3lg(*Oyh<Ao?<xYGuoQ@{CMY
z4i=bl0F_qvHS5{eULgLe{=`0H(c(3cwBCtib((FE%2w{23u&(S2p-rz&h2s5cdp9p
zjJBY)ueO>1i+>yMaVx^APd4$+P6{Pgtmdcbd3$|adVh9zAOx6U+|B)(B230PpnGoD
z`<jQgjKY^s;{^$ooR)my<7pG3uS0^?H#%R}KlKl!=L6<SjO=mEyajQrkoVnsymT?M
z^>NAaCC<M`9rp|!PteRB5{8!a^l+wy3xyZHu07xWz;Rpoqiz#cPjY?~&HH{>(-gK+
zs~3yYt}`3SoJC)xNR6~*|Mp4>`2<s6jf9hfZ>F*5Nx6xcXJI+8P^MA=so~V~cg?n!
z>{hhmSGLb8_r+-v`LClyvgLoJX`Wm(#t4sb26*L=N!HqW<-^KqcZUY)(+sijH*{I6
z{q(+UqG)i~nzDui$Tm}nQse&7mR_AKKae*6Tw$mbp+J8L&K6^LKXa<~G~~b23~tFz
zgIQpY%c?k7{r;HUyXH4q+`Kum4E2<6ozxX$<o0J?IBdrsW^sL8T7<MzR#FYO4${SQ
zW#2MrqHEqEZj^h<>cf{vlv2vU`=nH20Dv9wLy;eCsQY;7ipi+ar&}Y55}Fmq+%M^b
zI%c>3WA#{@7h&{znvt(0Ex9mnp@8^bjGe=RD2lQr%eHOXwr$(CZQHhO+ctOEwq5nk
zs7H6uzmXX$0-qCtIoybtesLO~kwj*fC{PmU5@}gAErDCua%gi#qwu_30Hz?C_na{U
zQ-aUDwRd9khSvqBseBid1R}RzVn?jva?JU<Mzv2QV-memk6~S{GOD%NkdP_qW*(J;
zj@k+xlFcp&MTe!Cn}sI|{8DlIC+SOOhCi>y7Idj^C8GUF>$6b^za#HCvUI$LX9{MP
z(rNoefn*^Gty-1Irekf=yd8+*v`kMKN-!S#cEG(6<%l&nTF4lgn6vLwu$RaAcN411
z2q89GO(8ajB`$>bt4nW<8?=_IcaPOw3(|$m`L~tQCdxR<X&Sn<%r(Vt>b5Z1kg?)v
z>ywrrlwbTWyQ#QIT-6K+=%Vn_S}W)T8m1WC+xyOb#7d)8Hd47KcrA&-$w@Xksn92>
zM6v0<QCe@3lLgF|KSFWUCV$BfC;EwB)V?b}?6WKECkElq6VD;_D6z8Ezzm_lQ_`vI
z^86abJW;?sT>Bx3MP|J+V{?hknd*ytljC9TbN+fBk=Hyd3apV?)&6MG$^p#4PFz>b
zaQfd0<2g{mXY0+<{nm=GS(6wdRl<}`vip*uTB=I4m~jboxzV=~w&wsF8H6C7)eAMg
z`Z1ade3|=PuJ)$7(~(%HH-l~z|F{o)SiSNtcXX6M++g)b=9{DWBCIj)-mMOu%{1{|
z@8dQ$&3MLbp{Gj36;U{#6rb*_VDc01HZjQ)nxgfW5@t|;$O11ZjIkWFI8UkmjPZr~
zQF(zC#Q`@ZN3qBsW?GUXfb}&1{DU(Yad=y#RL_YA<Pq<56sypHB?fbtD9WV5u5A&T
zz*RV({f-{&i-TW|8Y<$BDNZ+{_ZR4y=E;q$(q%Zqj-hnc;uK@X;5(UnTH%0e;X3>}
zeZED?DQn>IhT|yV^h4rhR>&us>56Ar4r*k=eY}^XXj%+yk2#rDsF1Czu~jyK44ZOg
z{qJN}!L?YmW20;bLQr=Jz-VCLLeorsZM^<)?DK*2`;=eXHUy-Q9l^a2^OBa3P0C${
z-J@>n25B=NNu|v7zx+K$Bn>uI`22?JVg&~MZxsfn7O^g|YW)g?iIiv}q7SU@biVJ%
zbMcq}47`{D<Q(~c&E$|g*9n1wTxbVP(G;?^t1e1*D7wLZW{{<{SYry-7wL0TM8y_5
z0SnJJ)5X`_iBQjp4|T#kIi1o{syAP_!UR1)>ve(V9e6bB*Ye;U`gGLQOWEBAQ%^@d
z7HsiHTy|6v9YMZA<0J(J|CLmhY5!r8mRrp<BMTR~2~C>jm*m4*VGlJO>X)U`_>C3%
zx>#mNNcU>i<(m8)$oJjaw4ITwD4jEJ>uB5k&L7}j0ieS)ac$>buUK4rp3zQ-`Fi2x
z&<z3Tg1NcO*nhj#KrPvakH5}Ofp=`yU{-xx2%EA*zb38?jM6V>0>+wqL{{6OGsD?a
zp`dgr6{>}?k!F9Z*Ijb8Efa(s_4^4hSUnuye9PT!vGmu74JZ>efUlw}uVx|k_Y>vd
zt+^&8>hDi(#y2lf2Dc6e?&t2#>GBDhW^W9RgV<g*^){p5jp6)XX3_ZNpUwUevIJ0<
zo)Bbh@qE7_cKP84)nT_Q7`k*VfX@a;y6tsr?<x_Yfhm${IN9NhLm2+o;r}Yx)MG0>
zMIRFC+g-|OC=Sd>sjI&hs+c~g1fG}J^D^0#s&cppT**3YR^N%v1VWw`6>XFZPt?JD
z*e>M;6(0{hHp*>jg4Cz|{woR#CT(tSBacsd+Q{I8i)7<%!^jol7eR>2F*F;O#gQYh
zMOf;coEOr)juECP3(lumN=5RFE<=Rzsds`wrsKJj`DAn+9#V|Lq$F})iCF+7iB~?3
z%h9S{w|)`8Zfi<_zen2w=8MhJ=yhksXboLD>@PIoB=@ged}cwG$C`1)FrKJY8wjXO
zr{$2@F+xr5%Rsm&U!-}wHNmVc-#uEp1Ua>!<fwZO%nMsNy*06#7@COOzLg{(owF1h
z-`GIaXbwY$Jywiu&T*s&!{X9DbkA$hBCDD~WZPa&L!}U5odIQU8;3OC15G5o0YhGo
zVg`5hP}5=O6v5FtfoLt$lctL|8($0p!4D_rl!G0lJ;d7@j0Bc6w;e^txc|6VQOZm+
zx&~AA#NWd6W>CLzO5Ls`@1|vP>9s7|qkFJ%CPvvTni?n`^01C;&fWTqiUtkV@X^7F
zLp+KkSGq3MuHrYUfW8W&iAV*fhh{EG%EL|4GhE6~0(Z@8a|i-b*C%A}KzVyv9(QZ_
z!6D>%N$|8_0_HxuTVqbWmy|BR2pB$}CA}{y<InP|f_SHot6FjtaNR4zKeWTFgm~b_
zu!Sr26uHsp)tW383?!YYdQjN-9NU{;f5heL9>$rB3Aewk<>u!HMVrlf+KB<^W$}!{
z@m7~(W`c~xkyqxeNjul=JzPKusEg@^Ua3jf$qw7uxd!u-7oY6JxEQM-N9wZMAw*>l
zbW(0^-U80!qGZar_tWc|H02B7pU1y?#<x@I_TxoJlx{5<peD<4TbFZO2dbkwz206|
zX_NQC5p>~W71!nOa1}>%upSGOC$xl4_fhgccB%lf!jXE9nq(liF7rLgAg2$hjvs~~
zi@4)?(RQbwk-G(GmXP21C)d_xxl#PySTH%P76;dIe!njA1eBHC&haOPt)qWgH&)bT
zVyoIecbCh*k#*-EfF^@vu**RxEW$=6frpV`B_&9HrM;7Ef1<&DkUAic+L2|uIWa@P
zq(?ExMf+up8g6hjs={OAUoF#3L_e=!4yziK*w?q#sc<)W=|h|?xOhB#qQIQ|7Kp4g
zoC(p3&ocySgP-56KxK~AV#XISWQ=rHEsp5U$(>wAO8LuwTuU>YbX{=ja9K*aquS^*
z&K_s~(cv}TED4*)$95&JrI&PgybSl!>Id2={>ROt5v1AY`~KKcR2L?oou(G~2uI0W
z8o>162scu68P!8vXNNd<)G7;EAF7~fC)_CVDHHWswMr&HGZRC8>nI>aG_2HFI5+Ye
z<}C+9#U*bZX3bsxmy`$4lPryR9;m_sm06D>)LE}FF+}G8(#>?UGKjqgVr5db8%Si$
zBs3z4xr~0hm~XG%+cn}C3ZINAB?{`gZjGC$b6fS9o@tq9_pe;a2Qk^wQNsRpLbxKp
z_U9hwq{J9lQiy*T5}M4;m>_A&Rn1Keo}YLt!l)x8jTPKRu_vUu0v8<+R<@6NY#Ju^
zErgff-`0C~H1N9K47N7AaFMK$!U0bBj$$?>It&$&0p-{GOFucP=^FuM^Dt3@O~LOZ
z=1nt)-uZ0%3@1qa@*_d5sI1h%fVI~DBYYf@JfdJw`t802a$nndn}B`o!IFL)?=mwm
zp<C8u-Nx}&6$TXcjs)BaUxnRvOJQ>f`P3i(g0fdaQK?;ie6f5)O-Jf(i<Z!Toh~(<
z?2pWL)agCBj=QsoAzx9GVaw8sVW>kTKW{4mxAsbuxI3Ht!T+x)5AZ)&b@u<ksxvXO
z|35hWKUSTMm4W4dvg+)d4DA1(ta{7`unMWyA2^ixR-SIMZTDo`&Rko0R?K9Zt!$gE
zaTBYiGxynG&e>m|^-i}|_3N4SpOvUsO@R!#iIF)7N^`SonQ@W%F<8VzRRseh5C*2^
zIVNW2!Ni0LO-^m#U*T|KB_M7t&9zPEA0go(1dGdWfiI)WFG5OdGpIzT25^Q3fXwx_
z49<2;41k%KSlu7QCZ`i{A4Zo}27t*0ppsjg067N}BDXiZI5e~K89e{r2Sfo&84!b`
zqvOJFEgV7<AeR;f_9l=CZ0>9z8$MnvY%SoF+ZdXFdHf%v;H35KwaxtO!2ao}n7zf3
zi2d1rY8+8$hh_&ha0<ZOfVesV<N<w3;A0rufIqodyf~NwBfEoV`mm<l%I54sVuX9a
zhBgMUO)lSxj(=GIxPbV(fKy3K0G{3jH~k@|zoY`t@9vHOGS4!9tZ()={V<yUers(k
zY;4Sp?Jceh4Xwc#S{uNCjz>+-b9Ztr0mItJ{2{TlxHo*yvAeLeG_bLJA--|D2nA#$
z5DnfF5Bi^+ncP|$+}(=Yn;L$p#l!k%d{Q)5)<j0;#=tDDu0h_^ee`K?0>|)O-wfW}
zooj7wwrzTUgJo!KWM%%OhDS#81XtIF20<x4PWG7aNjmshm<yN#ViOY+lS459TmS%e
zVrMaboeB;O;lHydpV2>v!SU(6xxE7}#IXeMp_TW?;W_BZh1CfLHWoq8k6z@*{)jlp
z$O0lm8<__nEX)j{-^M?|F)cpnzZd<*q1^-6j>g{^0WtnQKkvwQ;vtzEn_FMsiGSUr
zF<DSnk3~}~e{&!GGlz!UZUN}I)Btdqp`im}LxBh8M&a&1^r@l3(Ej2M@w1ZJ%G?0z
z{6W7IOaDNwKkpz5zTdnQ0Dsrha(2eIfdEtd$8^FIV;A3#u$TYN4F9xG{`O-2Oi%t?
zXa4L(jOf<Z{GTZQNbmoK*;^VLUf<hC#<#mT{I3IQcE-v6{pu^a?)Rgqqgfao7(MxS
zCe4N6cN3UcoBiwwX>mkqb^yzw(B#C<{^iB`C#wE!GFwAy7X;-dkLss`3XG3Ty!(6L
zPn+7jIP&K3i9On*-5b0At`}F-Hs((1OOMTr!7;eFusjDCe`k=Gv9Sf9FORcj0qp$Y
z836$I*5*EiL+ulD;|Emc5^w9%nwkSMK>Ub)q8ouTK>P{f0DvX(M<5T}pTHjiF+}{L
zJ2C)bjQkOx0R$i8KNpg}>5oi87%034X8^)T`7ea$J>ri*87O=N^Bt=E&>wzA%-q9&
z-WxoF`;HhLTUgkDes^4y&H10x{FVM$Q~XW8ON_qvN8Ai&H0HjD^ZyDPn*Kx^89$95
z=*Jo{e9)VGRAfcwwzd`?@sscs0sJz45(0kXmtXro;Og*!{l-s;Gs^r`_=H$n9el!L
z`#0X`{9YUhk6g!(!uM_H$HU*}6X7>z|4kkjN1Wolo(gRFOZY6%`~vb5wSI$tSB&us
ze^aE+;=enZV*F+peOW}^j4%9FPKR4+qhlBM&xLOA>-;C20PE%#^!?ZJ6^@3yEKc<5
z{|}$<njepH>(7#mdbz*yZ)+-kYs>)N<=Z3XmvHKreRgQ>7@v-h>g-<ps#pS!&TUQr
zx!C`B>RIqdoHUa!$?-G!N+06<GhV34H-g(Y=b9f1-|tW4!SNF#XBIc`@BB>MXwJ^<
zPvIS6_heqh&*S}z){Uvn`P<x;kL&OgoXKC~BV73uo*nNm0KfG4zt9uBs(iswzs~PG
zDx;g@cSY&bUik0P$T#@kj~#H}t$=YyswlT{p1^e1!0R{`p$~i4k7OTblkW=(6<0m#
zI9$3p$+<|?WlR9=xOd@5qF&02uHqE;;Htd6UO6r70%7e#lr8;k{b!>T^Ovo|^s+{<
zGHAKb3vfsShznH^_^v(NuGO#FK5c=nk_jgqU5*5l=Xt!{&*AM0u&MRYVDwiM`0Dl2
zeZ6V3i(*wG*YD_)NvBvQGzW>ooJ$D9iiP^^#FP7*v&DvTKfmPY(!fWKXd{Z3r7g3+
zzt;VBg@U2m<rwMc>JTAFzc6+_;Tsa4RML>%BNb)T_M!HaQArW_1{VJNG4GnF&s;4n
zab(!6#ZAW$DWBZsvfBK9{bD#kc4NJbfxND{e^g6|u<_+78Cf3rUvY*0odE~PE8$Aw
zn8+F{me$<x)&3dONbc!H?(>D`PD<NZMcV}&%{JVrSM&W?dOHF*K8z+s&=&BV-5t>M
zv(l1QJ>PUC^B3nEu=`2epwl8WItj;l(1?l&%5zW)8C+B1ziurTHQawzb!@~48o78>
zH;CJ+jH|3(;a9=#YfsybwJ35I=<@9BL1OS%A(cduY{V_6@@Zp@XIdGk1`?GAEe|*w
zpwYypORd}S`Jkn1GF2evn<H}q<R-#!_+HP`PWmzm{Mm~uy!nr;_z(GE!ZX&UVHkct
zi#auN2z2h@h;)NxlMP+d)vD|o4k`)QObGB%q4Zpe6})VcdB~)Yd(&Pm_YUzGo#3e<
zF~)ZGrkgla<+_=IVWi(&OkT>gYt#m1DO9>z_1J8P!__?H2=~Qb>`pGCgnPOhajzVL
z`rlD@v*vp#j<ub5wWjfkZwHqXT?w0n{;rSon~l!n1Q*8^v0t^&JR~|Gwt`T6@_f0C
z+Pc2XVeZjs&!6_mik#KPNcmXoHt<Eya(Li7MdGI>*=H3ywth4QxE5-p#xYO%wZu!@
zx5ers|FXRp{Vrb3&}sN*_~womc?~OWS>E!p%KT~6kb?f<R3_$uw@)_ot!tC3>;IQm
z`G@gHWHs0A)r@#GzSTiPK4T+sJEX5Gfom9vnEd*mXov0?VMOTwK`Y%iQC$G4{OqF-
z5t))v${4XmF?;k#8T~CI)X{*mpwf}N>saZxk~iPBV%CpVOrxpy+}y5%3E--gC45+~
zkvJ-K5krN@)i3a6O7sh6QMS35o|4v@Ke<zP%hSuvgvFATzll(I;G2#0J6v&W-u)6)
zh(U>;BY99L*g+{k2ti1}3!|MMN>X6Xm2&k>$$m9+dT?o3LfNLG-07J<7IZG2;)!gs
zca+ly^#aodxqq{NX`dZcN5knkAy*6HS8i-m5MQix2s9TGSJ@CC(+y%&SvMbzyUsVl
z(oo6)Ef*@oc6S0<Bxmwz*lg%#x*mC18A+mOT4tu_g4SsODr9Y%z%LS{*o?{9o5SRG
z&eW7*YVvn*iBzMnSb6xM)9l=nX;{QT26auQKiBJJnqO#zS0K5_wd49AgjQwdojSkP
zl>A9<9B8G8aZE7=8(C=O>gXLYI$yD^#7;uYBYr%d>-O%*JEAPQv-FDmKRTa$U6h`*
z%*@<G_qCJ02W>t7IFf?0N2(b8ax7tcYA+Q&CGY~}KLv??{OtbS3bVYd8~!^2Z-nY6
zBz?-iS<%+9yy7cCpDW3}1*)mAAb#Bs*+dLw%oq@=J67T}q&4$*W?kQZe<zMn;kLxZ
z0)t`}ei>xqww5c-#w`4FI~Z5W5OILfc~D3?Z9&vHoO-gecJq>=HMhY@N?w@~g%BZn
ztXtUYXWE5N`7A)fL**smSHddfL5{B5qbZjt;4S-v1b0Kgho%r6E^&@WRGov7&>C52
zeh3qRLoI5V`=sH=6#C@TqLNFxbz5pI?fKHMbRUZ5&oB`JSQN<AXA}iCO8JlnrIZP!
z?xzTp@6C$LBJHTh7M-T?JwvIQBbliQARDet?V#s%XwMBSMHJs_akqU@hKt-8<<EkA
z7Ki40JsRK`X{jBt^%JU<oAM~wDr&p8C6i98LN^!25}C7DorrfN#4+vMFJJLhGh_iO
zeivZuP#6bl?gVQ;R*V@}YiRcOUlj!?KwL>i{p$u>I`CEKf}*5aP1|ZjF#mO0Qo=VG
z5#67D3hBoIY>)gL*ZD{9{49Y56opLiyFx`K!4>N!SDYO5@zRPnS(O!s9LWA)DuKk!
z1pLJIQ6(aYc?V?aoy-^sXH(Zt=okgUZ@Y*;x#lnH=EYFD@N=7&KC$xF<h`?1ZJLZ{
z#SB@@S`GxVNgU<j6XNSR4{_chsmaa13Rda;fFW=8nFLpORJtj$0oFXXj9;C2?1up0
z#Nch+Z>4wk5<^~_Tai6mpd$?bIMyJ>T@=rZ!>`F<oy0O-E=WVzZ%DeOEeHSvL?^6p
zo(4r9#JVR1fCZ@+vvq09d^Aljoo3TOS3Pvmnqmmmg5O_eqhjw&5_oi(-)4d=MsL*b
zGuYiA<;)tYC0s**7M#^#irknl{|Q`g#i6wDIJ$pypBdaL==V|ZqMG+9gf#=oK9=lE
zPDujEsFD`#vCG2*0~_7F)u)E7s3MbvSKTurET}xsC4rp6HA>$Vimb%!bHbtf)wcSr
zeuoD-We8U_0Mi8LhZVPTCVc&L9Oq`YX!aD>{lmc=^l$wKPuJg1<1A!PT2+p~;gg7Y
zZt-{9>Sw1Aj>vCwm=<u?ixNRW_p+5-$ay3YRHPiu!e9eR;;QM^6u?|%@a6qnfHviE
z?!Ewop%+J6Z-x0KyV3{FO2y>Tk}s}Sd_}VdG_Rz34W%b)<E!zJ-Rj2;x9-u(Y4lcM
z^>d0uJFS<4UjKQ4G(FWi)o*JMezm|kh@f!4{Dv{<OHQf9Il(=ga<!}!D$qX0+B@CQ
z&|TS)cuw7$%{4ErP=#yDPUBYC5R;nfQjE@$P8pNAK}}on(&*0V$=$a{1DAB&K<N6*
zbK#3&n0|HkLiWoHx5|8URFCW{yKq8)GHZZA*v5aHP_9g#Nwf?Xy}}MYy;mr$=2u-y
zoKiN?DX{ooR9)2UL?HGaLA)&I!gp^|h~`23`UZ}?@)>7GuqpX&RsOz?Va<#D9)*tM
zo$O!D3Hh^S@sp+Y0t5beUQ4_^34-&4JX2&Q#HTliRx|hcBaty8_q9gpgiOaE7LYG#
zl=O@2wMdm#0Eq0CUOT!Us?&<!5|2|Sxp@<J-7%L2YRs~|72z)Pn?tiQnMT3x9VQLl
zS8BEdS5W!oEvNbq`$mVD&^|86g%bpO+ag5zk6my^o@CZN$zo9o5-CMDTQ1ZKC$*#4
zN=!Ie1YoGm5jH7@52?({M+J>nXVAi#;IalkDw1-L1QG<`zVKtW7^7#7l6n960%eaK
zWOK}(qys+$H^@+H04FN>2M1Yj17Xxf`&WsF(Y4yx!WgxAikaqaAcO;~n8G|<8Lg6=
z(u`R?y1(l#E!nhhG%nohF#D3+niheDtT69>gNj-Hnk$p~sOZB)U8wg_*xhD$gJO$e
zO^B1ar;ANcB41ziC-*WLYR@FJ+DQ9+zZhvDnaAcgic8}nml#&Pc0-Cl_b#%2Jd!r)
zpe3?I80Zr7(a)WGY)ErCS-5^WNALRjNO=<*JDsbC7AeBM4Y<D$CUdx*YPbJVM##{F
zAradC?$~$aW>QOh(8+gZg*~=(K#l1s;UW!#PA7E5O=cQw4glmMV2oX+GAX}5r!YW!
zi8ovj<TZaXyor17lM7`8BFiTjHY0%b!L9*Mhv9xlnAq(<Ux|PS5>GdvP_$U=-p!)<
zc&MZJi4vb88z4{Upyql>FGLdo)dg)&_T~8I5m?MP*TvL`D(Jt8kTPysGR;z>6TehD
zOS2SGM0+4%`AOLIW@pVjK>>VD*fbe6gS!P)x9Rwo)*$`6f6KXUtJ3s#LmKOhzTrD{
zRh%7-Cv@%}%|n_*dZxO^wpNe{6!XkC4M+9UA0kl)55<}sD{^Cqi}TU*E!~wtDL@3T
z9Q(q)Z?V^rTtJXFo!1*1Bb4yex*#fZ%N>=pweO?>vfJ*5S59~FGz9x0oIwt|B{=}F
zEI#V%6O+kB)*0UZQwq8jg*2)8sNrC@ur(30rqS|I5+|pfOnO8p$SKVtPv*>NH}KCF
zl=bUcT>i(e<K`JOXM4?jQ1#}Jb3YlLqe{0gkvY=C&Qc)O{1=U`Jz}srY<||pVTb-!
zG<~Gpc7_*_v3{_J=c}3yEwB)2$)778k9dr($)9P&YL=>s;QH{M%aryTsoR0-t*u@H
z%K)`-Bib2mRH?cO(s2b;-ZGM(tIe>wWUjT9ZoFx88xCu;D^FmikD5|pkkSCUZH5{E
zxh4cV6&^Z`;F0@H&7&(Fo?diYjfKTndFwNq?3YZOX|l~)UQzS<o_|_zD<E<VEd%oS
zS+;^hmfZU%cDT;>AqQsVtVY{Xu?E8@12%WoL)vyDhoDjLpw+I2E<=6$%C6~sJ;!R$
z;C7!V!Rj%1A?4t?kw+kL+(ndrcH{5m<}7fPwV9(=;{&Cgx8YzXGfTQrHatG^^xJ95
z#bZO9#?+w17<+>L38oxl+nc+6<3*72-@22XQilQ}srLLtDN_<>7SNGEQgawiaUp_G
zb8g?0qRIsv-j~YZdZvauD)>xu8p-MEUzW^mv{6DVux(lufzw@CEQ)aLO^u){vzdLh
z?>l){wLRH*zg6Hw%Rz&aSs#P%8~QHV<83xNOu^(E`aZ|;j-nT;F<7k%=vqF@3NM;N
ztB+W84$cKw_nN73l0}e>P?u%c@^yYhgoJ6EpwguN>UV^9LpBd;>qS0LJeg?;fw+h~
z5ShmeiFecd7_cr1@eph=y@R!S^&@kKZbM|jZlpzIi6^+>L{bkNdYg^MNy#gLGMFaO
zO#1%>%9bPH{Wp^dnX<;O3v1bu+e`OHa6ED8s%wbG#*lO2%k~L<;EjfWLaxEgWBf`7
zeoQM^AsYBdC^D-%&OC@Fb6FmhGf`!T6i4J8n)6#^#$)su)(yNW&I&uIGsA2asGS5(
zbBlVuUtT)HWqYvs5GEpv@Qpbt!Q=lV@z+Q)$GUVvN1`W!dd2ou6=nTksp&DmSjJGO
zE*Q8AX1=%5FomnUwe4cJXFm3GsG0|2Gbcd9iu^gp%)L4AWhE^vZvx5#6*lKO!3$HQ
zNkbpx7ogP8df+dq3cemd86&pJ!3yV+9}69!f-TpM7T>7!R=8rQ?vX`IhKH)ZIGs2l
zT!9i|ASYit`sepd>#&emu&fZ(+4K8IFs1}=p0GcQIoq1)M(H6A`7&M7NZ&|sy40Et
zSAug}%o+e0zxp$%7Fn>LC^Z6p+^F=IBTh(s<g@eJ8YAzewT}>MYtlF`)@Kv$>r~?I
zYAaza!F>9#Z-Z{B`n+(6Z76p6YcA}tMd+IOM7pYn{iSw5Vfa(FL8zLE4S7THbpWC1
zyt*PZ1%3=d{_E{1C=nE>6<YZ=s5q&@D3b{T3pG!d56CbspUpN!Z=UYevqU{x<{)P{
zWmbluCHAyQ;nBOt_S3E&kEEr0P$^KyrIJz8Q{H4N_;a<SagXc8u?e-~KvIqZIA1v|
z;!}W)6B=v}8B(s?HC-G5n{#Y_R(bep-x+yzCxg4o5<*ggC$6^<GX&ilXu9P}fwF)8
zu-MkckyTTwL)cn`Iczf8m)EA`>KJhehFC9-Aue^t4>!Wyq`xC$x=+NW9C;((k(qX8
zcIesr3-{W$b`LS8<mErlo$}DR&9|L4n=Pa_dL)hGLzZ9wmCfRaOjcWJ^HtC~Vi|k8
zi5G^`)MKJ>vrq{N*vE12*}RF<HO_U2RxEl55QRZ+zne-0jnc(%Lg1w5FjLVP>L92K
zWJiZS1TK%{rQ~DhG^V*L!-J7jPBgs2B#OQx-CtsV(@X+SNbk6v5y0a`w=2|?|C5(p
z^L9NqH3f=XM5)Xl)f`vp>t~!`ii&ONRyYCutONI8XinW0YSRi6q271|m1tUd>;3US
zt0LK;FB(8%8K7{H8Hz8-x6Ad(Aa?9U39Z<^FOkbBWNqs=)@tYwp(<<)s4U@b7{&5L
z{>bASf52nzcX8gwg8TsaFfTtuowAsjZpQCpDEQCS;ozT@)qe|MeQp&&OK1f;+H=Yh
zodQDIi(D@I%}Zy!e?aV~loH5GC18rv4%hiXO?ksUE^p~!BzLeFcehqR{Covr;N~u(
ztPu-MS6Jt;G#fYtgdC&QV;XY9-sGj}R%F1BPLGV>$tolZ6Sx%N)hE0)>&MbCB9Xh*
z!*)npr-)}3qw_rqOClmOE_%k5Ixq<}Nd{s{zJh2dnR@!)Z+soQ1$AH1_?BFwl#N>5
zTIo(II-FSy{Hq#{L)1M1Q@mR@(tLE`Q$>CLYWO+OUVUI8)q2e$IH}OlpmI@Is#>5E
zOSHA{3zZB}i2h|BlICBb&H~#W#D*_o;#N;XRS5T(Cek>IPx-T?X<`*HL*K4uykZFY
z%}2T?ubxpC5!n(JTV{x?rizLr*ROj`D99u<LK#BxJf?+`4*GFr(&D~gzBQmSu-RUF
zR!rqqh@zmS6cyw8=!&gukg0E33X85%EXqJOFqQ5yTrBAGtV!*^mg~<OHilOSsiv#`
z*{oBL;4dTl+~~K*`F=X~Jh_l1v*KfwlItwZ*z=%Bry_RffN~RhY>coeMvQ;LsKoek
zw>Zqq+5zc2-0_1-Ocrm@w_Z;XD7Jy;SX@nabQar$U{!wwpw{S-5a57`|Lsncd7zhB
zC^%UXmeA{V$(ZQ#+&lQh&O``KF$?=Mv4-x7Zts#3eJe1!cx2cwr6`h8$7I=_nVOR2
z(s>$k6=7Sx0`J-k#5{(P)|(MdaI04?1SkT$ROKFYqI>|VzI!alJ1feT;d{&edoCKW
z;UJdQ_Lr_!_?uzMD5U=74X7#T3K5Q9gwbG2fyok2-C#kY^GP8={2JF?H$7j?dkhn~
z)8tXghTMU@utC7LCI=5xWKT~kArY6`LWBEl`ti_iDGv1|xugZ}O6)&#m>Sk@>^JR5
zBbsps#6QbiRDQU-9esI?GMl)vfxgF~wEvf=lvWI&WX{piA!d(`kbsHjnW~_Myi>0^
z@FE1H>#O@f81CTAF{F<<Gv8=zyD#&0!p{WOPM;~N=LoH_-muy{+G2V3{1g-;CoP$K
zJ7JU|f0pGVjuv+29b>Lv)$=~->A9#ghri-)YZ&82w-@%vKOh&VOAaf4Vi)Kb!!2ZU
z{BJVP6a$o#tt752!5ddTjpn>M2hepX$<Z6#{Pg{S-5s;9S>dkFPl*CC&RVUEY!w*;
zQx-mLo=frdHJHb=hW|y2A!ghTCPU}eE_6c;zSbm5#<%d{5CS?d18-Ej@KT~|{Fi`I
z8TD#}We14{CBLzRRk0UbH{_ZUUy2eQINmHPXuS6mvWS;EZrV8AW*YK&B70kSi;NhW
zEkjR4bk0Ysl}jpl$QaRO-5Y*gl2~c&B|V4?$ay35-*Hy;o;@YA%+2uzV7cJQPv-Gm
zDb(%_ANDxOg2S@1Umm)M_MIYeJjpqZrxUov7r?TFeEvHcfw>E|GdyXnP8AQTow}YZ
z(Rov3A8@XsHjmlPn}_+7U@TNea&;UFVk*bnLNBvX0y;AbRjEcTLylG*r6i8!V$RZ@
z5FAG(P(_>V7?J7nDC#Mqn+fMZCH2MZ&2RR1P`clU+$dY(T)2D7KO0C$QDk|q!hJu%
zy1`WZ4!DC8qUw(3!DdN$0C6e;n=*=^i$OzcoAL9(vlSN*-TMRq-H@}Ryp0jtt5U9(
zczeTZvPsWZr|1EA7K0hY;3$U~d#HP^r}{Eq{%SRM%|P?e$4l`W-p954IAqt%hrS=a
zKcdxD`zJ3G)7%jQf;8Ls8OV+cl4q}g?e@!05oOqR&T^6|Qr)^fk^J{vSkm2S<>mof
zipceVybEM&^0wVVixT!|iOq$gMLp2!!JHG5)5`YGKBWwze`4ezzGNTjpxoO+Wj;b%
zjY7njq<cB7g#zt#g-xBC+vKM35eDAwr(&&!$}dyKwtcAEk)plQpZ9BX<`Fs6%$k(r
z?|`T?D}~4zXSMdau<^AV<T&T8w9pv0<mvn(ex9H%{jfdSxlI;t$(E76zYANC37`6E
z!8!GIZJK&4M;7g0itYx*vgCK<6{5(nJ7@n2?1>`7@~@B>*uJi(E59To89Z^WJxgv?
z<^uuLk3t6Kf|BhQ5|3fGRbIqNi$;HFOzDzLWQKp7^6|2bGIU&*emD!R-G82E!i>Kn
zIoF&u86x4pP};%@bF6vc9K`i*YhO<#JQrL_9S@H-AaMoKd)2ovIxf=;-Ai*xgxl6X
zTl1An@BdONbK6Lx&@yQ!Zt~k-dFKL+LuYZ%?H7oH5Oa4%NnsG92sC++P+24oSR6CX
zeF2<u6qj+5%U6&B(rq{AxSOIMt1<FTE7tF?A3C~>n~m&JN#6X;&mHiN+XoU45z<AK
zSd_i;(wt<O^r?RFf&L<~1M8>~&%;83_;tlMG{*E+;&ox7D-(*YV9ijt9s_=A##@Y+
zAyd#}zb2(sI%vEvQWsm8Sl7%ds`x^U{Zc^aE6YA{E>_)bhntn@8#jYc@8t-To`YIy
zchUOib|pNAQcx_`f)G|f74qD~PG%I!2esgki$Bb7>j^N%o1Mn!932+j^<xmm-%gwA
z9~l$~_RbR<b}s!tn6pBuz8mr6;>b|jM>4fZG%m*cttIY5ppVCx$I;o#!K^kmIHCjJ
zYcY|(VEW8DmQ_6AI%yf2rcm{q>CmqX3x#H819F9&^jjr97tyg+=i4-C0Ls#`G4xe*
zC~=Y-R)zz|qePeRoFmHJCP&&a18E9oo+nEZ8jNT6MpkbvozQ~phnKYHxT8r3hSh{t
zr3E4buQgNVnI$|q3pxk#sIB2B+{|jNqv;_<u&FQ!o7(;qLmR~q8BwHjJxeUF4*&$p
zckMwOA2v;LWTb^C+>4h_^Z~NOpdh%b!=!y*xAVblrOWiCQ8Ex3E^M;4#}1nbE=Px<
zWMm~sxC8sbbIC<%W_`J*w;|Ggp38a8U>QX*4@B%_e{PIk1&h;7;mocuiC&~pNlj$b
z@!r-y*KoT)0Eios++^eSrxQxsq5)3;2oirDIywHgzCj&yVz^(L{}}-mmTyfJv+H~U
zd$n22Z<`O8Su|%v8w7DDSc-qjlJd<*=E$5#yZ2n;t3osk4A)Pet!H+p=FN{GMI~>A
zuDz;w;f9xSs@8N=s+OV#rhMS@Q(kvFlV0<B;m|K}^<_DDMgN{G=Oi$mY+>50426Zh
z3w^W7?#}UMKt@Xo#*r+v(UH{{u6wZ|#nbl=$1MCfj;RRq;hp{!>U$!3v7<wIDV6i$
zNVAu8?bFR0jmPf${jP`^K9D=4I1AS{O|1%$T?Mu}8m0#W=e1{8oy*ds>@`-ACWHm4
zC4xtFurVOe#E(USmZb<rnk`9=_Soi=EU#D(6BfM=&@i)B+=>@>W{L1*fG{|*2hZ17
zB|0mt?~g&AG>*G8p-6WouHU-}xZRf5UA*m-@FMWp(M7d;^<!Lnd%DGE<IR~1MnJ>X
zuso{DvhjB-YfAD&&T2Y@n?I>rGvlZVu{Py;8EP$_sT?i?-7}2eM;>Eq$qG|8Vm15u
zXf^S%rkOt#;*PD7=F<>fcWE|zt}3h(*S0|<oo{wlM`Q!bIbwR`u3-g*9cknNx<q3N
z%Y-XSUnWwlFK4tP2;!>CCSid)TnZ0D0~7ky>yeuGF5gX(E5)Po04Xx80Q2q)9SCU{
zUIy8Rd~O`xu>{L^_O(aZ6&pJ`@)|0*+pHc8;bgE>PwHFxXHBU<Hq<=~vN{PDk%2-A
z8dt`Yv}5Ulyb%(S-T}7PY>MLFFEO!w0bOE^fHq$FG+Jo4ohYNRNPIikz8H7N51s?N
zMUd%0EgbyB_f|fn`U}h7uJ@X9RtP}!pKwg84q5twiJHej6!0UL@7_ZfPY-ElJQbZ>
zxvblEdRl+;9M18B$i@UyI-LgiJ`!gPM|`ra@$?+H+lw5~kF~xz9|Th9pG@U*&_ZxC
ze>j?VcaNSke5mgV=Z~R$SARIE<E$wKJ2U!;%m^}TpWV%Zo8=83oZ>}HmaSzU&2%MA
zQ<NAG!uT<s8?GHJ!F_0Q7oemZPvbcdyK~iMx{_BY3FCWxx&Y$&Jyl?N*Vfz?Us;en
zD0j+1x{|~XdejyR4Km7dmMNjKRLv>r{WtmkT0AoiF!sWN+SPYKcHOzdwV0{9ZqqFW
z2lI&3TSdUR-y8Ki|41UWhkaOXU}@ylm-PHR)&zho#v+qxbpKfj%qThBh6U?x{{-1?
zLJh1eGQn;NUHt9xBrkT3GX@Mx+v-Ya1K^D)+`y|k(4%!VwQmOF4-X6rBdm><cPxIO
zRu(9DyjS$qWIW*xev)>9gB)(-wojk5sbe{q(sZYGChu_r%07~U^aMJ>^B`x^>~C2)
z2<oq(GFUySit&mBuvJoQXLMxSy-$ou@0mw$J6P1a@$uwoL(V!pj_w3X=m1te#rQ`U
zIsbk;Y1T>HVyikvH(}dWSRGP|4eFRDA$X0BlUFL$R@s1Gjn#uiJIu{}Y>n*Y7|Xha
zP#Vo?<~Yy`n#0LTGeg~o(Y1`6tILLMOnV;)wfnKA0blK2x0KJ=#oC814h;l9=@UP7
zlmGm6s;ll^M!&=o&}RXTh@n7E=j}5rp$yO2b4hMd!KVhZ0hR7&MUwlGb1RH5?C`I^
zZrrKHM(WtgpgosDNToJ)zLFY}tF#8a7(rYD^#VPf>G75C#(lOPzENIVU<PC@%Nysl
z+4$u@(@KpA!y|Q&Ik!0_v0%`@KAGOJPM{yTUkFRX?h(GwnvC~a3}K5iz2^p8>Rc>l
zEnO@7q=G%h?OI~-Cwep_=O$Xq)%v2Lnu6OtjjFmJD#=C7u)0-mMU)r@I8c#hMc#eP
z<zq-8ug;%(&k(}zgD7AYgYZ&k9NTP4xeJi(U%wQE(LIOIzS`<>(Fk&3`(qdW7^m(G
zWPWT;!_>k0ah`_h-q<@5PkFEPWs0Unh73M9n3-)+%<J-@1*naR%9o_2_yH=4-T#bE
z)K7w=$LI~`8VzUNVaeJ!ENL`nerCtQR0SAa)@FQb_pD2m%lS!XHD(ypeS|5GY1ywo
zNpr1*b&KfiEz#`R*ELc-m<=NAE~l-#q}J)kCm5%*LY*m<@7HcV%=WUJ)}OTdk1Sc)
zh1}*gk)C7wtRoNRM(n0jMuq>i<XmIru1;1r+wJ%11f|>uf2QW+g&?XL4dE6ty~ta}
z+pdRam1dE64*z+<2&P<!_i{3F4byjN4H{(HiSC1rqcnL9N_q>gfAhUP8-aiAKhUpw
zj*UBM1RxV3Qo=XaSHcvI)$*rKK%R4fbNeUye&>0hh8+E%%G-;x+YaO835n}-q8M#y
zvaNGTCj)%(#5yoB|3|7dPK`L0%x)`(sqmQQa&PND70Xkuf#mXAJ5>Sq_`^{T$L}>Z
zU%P>nGL;)n+flj$7vPOhGxd3_!&TK04be3EtbIJ+RCHb<RB@%t-dDKRG*SL1M0NEz
zqjTcguwsNbF%eHuwr_?xNq*7oN_j3!g6A0h=ZzMo3Sl`ZEwBfH!htDTqC;yReNAiI
zFY!gKpJho43hPtz1;xQ_puQ2`(He~ijFs24AVPZ3d}O0Or>A22Q3e_^*~tWtJ9(P!
zW<Z-F?k?-i2+o*)-}ptl&gx^mHrwDH-F&!BB}j&uVW-j;de~7q#A6&j;=w^hYX|vY
z1D;Gcw{zIT;`Wb}!<oKk%6iX3L1bDv(OEW^?RV%d*yFWpH-AsQvY{xvR$dy5Y){p?
z13olJrIBzj1(~%US>hqbI*!<)|D0D0msEKBS$~>{mig{A7<u(Fcj+cgEgB1hCPtpS
zePye6ozRze5|#+qxVyLxG^-)pY-T+!t7Wi&wjJwbf@;sY-;&AV+{kRzWQ83wtn;JD
z_Lj<Q0gtp}Z0C8RaAHr$=9|cZmA=K$Jv8UxxG`z9#z)zM;^F%mOLMux2&pw54H_@x
zigIo1(V4OJ+gzz1-@9dD9bdSFRiVM<8`3>4-O{g6vDk{T_c7+5Qgi062tXWZ^sBu`
zfSv=j`pKE=kj(V^CP8dcp&dv&w#ySQ7lRr`pU+h&*1xPqX`bPQ-g;1?k%Ni5(t>Ew
z)H;q*pPwKImJ#if!1<fkV2MZ)Ma;BybcyAcHtCvTtp5HVKD)mj12<vHu}4cTmCo<e
z0{d7+KWdO87r0a=g8Q6Al5a=ZTX&}y`k%7zl&xPe93V*Zxu$^Vz(m6<z_j5frgn!~
z8oUi8-IOz=jlFS)Y1|i3LF3Q&$rPEjCk~LC8ONhkBI&s%g^K4|^ovzw*!X9(UP~aO
z9S*f1s(cdx4Bu95TOR*(_evbx2>8nuVuQV;wIhsBFsTLMyV}saK=gDBX(e<f%DZ2M
z$PQ|0$Zic``j42AroN-z%|*Rki4Ui+d}>Aqn>dbu6uAN8BGZ0?))RYQ)C(W#f8HvH
zi@w*cmC$FN5McV}j`gNIqPS<(`Feups$61?ulMHy)&XT`iBPJoQVlgLs~^H|V$jnB
zd|j425*CYEH-ievzmLez^;}X;`VYn+p@Ck@v);;gsl?t4tI7Dt;zDCLU%5=^e9fdN
zD-{+7lI<{6pMaNlg0vs5*p*!bg1{I96$JpEw;RQqK|??tJj4`sZ^}vkzLAbBCSVMO
zHEa@~KMQ1d)rM6(S)Ea-garqiP%Sr7(_7PXFBb8ZPJ2zYC+es5V_}X*xMg~>*$G%M
zIAc!WpXiAE!Z)oQVj7V2AbSy8iA8Hq9Q#?4^&kZpL5qd(yD>A_jF~2x8u$+QFGp@5
z@|)|y9zRV+Qr;L24aN7G=DvG+;MzNGK$(PCFFi7(0H)H4y@C5+J+W$=nLn^6t{b`R
zaOiPvuL*m1JH{TIN1jgkz+;c#?OBkKU$?*Uh|OJ3RYXPV6)K9eMgLm>_MIArBtdD2
zcFzXl$R#N_G+nR+u2R{|JtBk^w*4DYKfB_7zQq}ENW;$pm-gcDfh}I2r>DDAjiJzL
zPP;4JO%p(?Kbq=FLokbdfg#&VifxHTS^h70A|EfeLgr5F``bMVgINqMUS|drg7FGe
zEp%OO4#$Wp*nJZtrss<(<1^!qkdt02e5r&~ZtOfQUVS6NDGpyv$6a9ADeHJJbEUWK
z1mSJ`Njj2?Qrv3=Ncc9>u*`w)%%|#j{mScw{z(+qWmL5l#)gQM8-B}NDx+(`rIcH{
zTc0WjR|-P+h40kd^d_bP<XZ=gbIniSa{1O@6MqC9!_<54ro?@cL3(9kQiDS_B)Rz_
znO+opt%oXI<f=tL;YAIjTzIfw3!!Y6%!}y2Oaw-#(}rZP(A3=%Q+6mjzE1`kozMDU
zAcIuE%fh)~<u<*9o?Kvd30{6xyRcn&M5iW$n~k=lx25-xH1LR}OWj4GJ~6>Zr-f5+
z!#me8?bGRUUCb(VS`Co+w!6T1q1Z8Mh&Co4-Jj;%-p;Cpotux?az<NY-woxf#VY9&
zNzJ7*wBeGh?eD)`i#r=3ZoT|a!PU!f0n3If8unYW%vhx?2=xfsID|WXwG=7mEku_~
zZ+Q$*1=;zvZAou>Xx*)8RNH?+PXmTOwAYnp%pWPwh9hEAA9QXQqBdRi0M*k(bUbn-
zReNvPCdMkhD@|e+qsx+Z2XKNB8^IiaVCPATib*FAcut?5oV)gzU@FHCdi}v(#tjsC
zr#Go6r!OyD=VrBAm*qOX;XC&-G|`d&&e2~^x+ojYxh=`321iSu`?c*mRjjc4wPG@L
zGjf<99GMM%;_unGuZNn#hqN-}R?KrgrSKG&R;qb)QrCP=%X?W^07qG1=PVH6*kmd+
z(REoYyb^8CT?P|of5dg3C<IqTy|#}LJYN4@8x``5U3JvlQ(~#lGEei}yN(!_T(e^t
zAuJ+g{@?vL*^N7fkJ-SD$_D~>dG}Zst1Y-Y*yxXM;~u$F0;p@Y$eq8c2haVj`sC=x
zG+QGEmW~NedrP+I+J(vvteiag${?&U9+w3>|6WlMaU+lxE!zAO<PB6=>dTzpm-F#}
zYUgW<{^>ZwcXTWT-I9QGzqDK!;^fr0$(9me+5oeqcr6M`@;O#hicdC7vpVB*$NEy;
z$r0<gM^zpI7~;xPW!BqD`Yanva!E}cr;ZdIpCN>{ZR%Me03%9Bx}}S%RDDZ~a9yKO
zV06HR1AG?{W*GiLujDTK`rP+7BeEBiEn%eCv!Dv#SGt2exjBu=BVSmi;XeC`gSH{a
zh%X#6_djEkS@E*@rqR@uJ{eXyrc$`0x*~I67m1H_FVtQ*rPhQ)TyctSB5=hZRq(Ps
zzS1<)`fY{oqc&R3<4o|I!@r<xdS+^(q;IOS1%BSDZgr%f5CFCetO(L~eKlUNujtJn
zQE6wD48r!?M@O05N2WcKmipQ(52J_Sag-rIXjEu}w+5YEaXcL|TqhgA!KCzU^BK|J
zBc(yvk%)SJbB<#5hlDEh7bpXYDW?p6>;eM+w_T7~kDfv+&#NLNvCDHjLXr1bo7b?^
ziIApcQ`@F+nrbs!Lz$nLO~#~lq@@V_Zwt-HAJrr3wKN2+RLK&+VmjQ$kE8NI7m&?P
zrAg185WT<5f?4;vR&df7j)Gs`KDdLdtO2Sh@P#p1pNube(is{L@P1>_INULl-S2kv
zEJXpj;`Jrm7MFf~VG;gGspU9H&>-w%UuCD~oLU{(8S;|-!W|6h@`ur%`%=WGw=FOP
zk`j!TK{I3XZoA_p?#$(^i&LqnJY)hQe=e*`2jLj~Qg|7r-T{Iwto(^x8#h>x)Um>e
zK<<<;)U5FD(<h^geIGuU>8{CWty+fG*Bo6*xU(ASU-k6X(4|C~nI#g56O=!{O(3Cv
zPx;Ga#AHmO&m>Yb2y1a@+#jhuLq9keMv^>JM4%R~)09som|U9`RG(Ladwe@sVy6d4
z!}t@7vF&MdAHyXH+B~`G-qnL}R_2V!tCB#`+62?KvpIe1@hi9-K%(d6=39PtI*ln%
zv?NgBDO-WDMjxVJBHleC>F&4n^O<}zBT{chcfFd!WMc)gHS2H8^66ZeayyT#zYf8n
zwZPiEf*d?g<M1Cz=Wx)7J+%_L0C`2pan)x81FHe_wjfR4$DuXF!abJn#42-gWHcwK
zA@V=4j`iD4G3P{=gum(oo&4`}^h{GqIrZm1lOjfw$E3H>fl5o9)?Lq^7UxH|(`d=Y
z@*RP9=Y#Ol@!(}apMi#J((1#AN7u=f9u&cYL1F63b3}{WXHD0$#QJZ?5Tom~{*W37
z%dGy=;zy{p9^Xn3=z2q&6Y0vS;u5rl;fWlqecd4Idy7DmfFj_iOh5-Af}<Q#N~DaV
ztu4n2HhZ$dWVNd1xS`2xR(iIbA|2ASJE!m`;J;L5#CVn+w*i|9_N{_8E<6HcAt!-o
z;6s4~u-!25a<TK8`4lRq?=}j`Xs6OK36|_8F+Ryr{}BWYhQY%3BFFbugMvFJ-(Zm)
z4c}6guD5)2pe)UCIR{Q=tr0sMwkKAIi2`E1QkahXg?@2!EZzSwjh!LuTGe=IB>-#F
zhV!6hY0o#jj)Z}M`4k`6FtCc|P}wJa%g>S88&Z0WtBN2eqb2THlNGZ@(-2{ffCvNm
zF&RT}-0~~MPwouJ{bD0eoUM^Qy$17S*3h#RO>wl}A`R@wR`CTIvOMy*b*M2)%|?gp
zbP%)6aK~!)W7ri@)ih21HML0W@L{YmeZXE4O$+nRFn3i`W>{&Rc60Z6FFWEJM4A{G
zpolJ{KAdDgj9l9N%P6MlB@}DQai_w^EU2Xq@G$<_m5t`S;^G;Q)#+SftYo5O9o3Iq
ztyV(cCC~whmQsJPmghaLOqLbTq<&%l?fA;5Gg~iKq5#OGo|4r68Tu2=1K!!GUP7H0
z4u`!W@m~0-9`MdG&kf5hb6YmRTnsZ9=+%<Al3Uo9#ZqMHayP@Yc1;Yo1~Iwebk5>Y
zLJTstTq3sc1MS44c@FfJBJ_s9WzWo$zIe+GPwJk)jm=ZgTYC5mbDw<)^G@1}VMC-H
ziHVrfhjl`tvhdxp1_L@NMI+19KN>wvBpZYB;7cC|42H2o)z;Ila?rzaTM|NeGoC)k
z$Es~-!g7&-LS6I^=|U&=o7Gm@lR4^ehCIk5dLwkTI|_%d#L8dYf2ef<qt;3dQ4W|F
zvbw>5W^r=t@4e<bNBFZvMKOhXf;MUg$F_M3!f>SFW~t_xxq==ZDzK^Tj#Mc_ww|$l
zvX#Dca4;hSVYFP7;RKO_m);m=iqlFTN#oY-1uJ8AY7;0-eL16--B0E-xlNN1aHReA
zJ|#Yfe4)8BijS$%3GPYNz=3;*5RzR-pC;<MAK4db^pwqvp0g+Ko`f)c+I|HPpPXa-
zPoCoEW>kVa-xoMUWy{GELMZ%fWlzU{gQI|&EF|6>qaTt6lkzdrP$csK{bXyXyhr$!
zebXTDf9<_xa2!jQEo!mF%*<p9TT+YJq82kVGqYqdgDqxei<z03nJvj;i`4?_>3lPD
z<BK@w#mtL$f8Dqd8Bvg#U0L0^YVEbNYj2G^B^z)Py?vJcecFeDb(DP70X+k)?=x4`
zt}IXq!21jl@f}aw+Y8nGvGc`{-&5lZ$;A(<Y6kbr$$)`eP*EpCU)x<AM2EGo=*R2R
zEp((vVt2|eN8qm?9BazkB;~8FBC!l{I}$KarCLB`FbjJ0NJgdh2&6?mom`{5aGYN^
zO3rB}9%=Grb+E)-Dtui5>mwWL56n`#>`i4Shkog~$H&QBnUz6}y>jY{qjLocx6Sk>
z;OED=?d;a3!wyP(qu12_w}bqI$}LJ;jvN}c1LS#87PlA5&8nmk47Fv2>Tey80w3=I
z<Us)<g(^b(+74pGQj7gU^;7$G-nX(S_wfRW(VKE;$1a%UOC^Y--*ugSwHGhvHDY~0
z?by2)*3V-7VvgbYs`f?m*Ujhbb-TpGEfAC;1EqK=*;+8N9+4os58LkE7;A@HtE}#)
z=7r)2=k9Dr-6V<^jL?d@-c32o(1l(DfZ6?1&tuTkst%=oZ$mz|Al(E;ue{Os7z?Yh
zvXqqmRNfg<b>}c5R*M#CCE)#?9e%CN{keK4+Bl>#q@f($e!7-xZ}Uxfp{+wq_6jVT
zSyG?d=|#-iE{z(>{9`B)2g<GfUUz7<_--&zCj@Wdu^fhnYu5WJ`=g=c&8()s(bjha
z=YYy97m(pa!iowZdD2?w+Kv;GH&=z(#KLesC+hCfQ6-MCZ=7TkvL(g3dA)aiGtWL|
zDYrVv9j?9IKwV`ME#3FtHua)iBT4&Q(mo5|x<kjwPBb3WCF2)H?UymN*37y;6Fjuw
zx=1Ekr%uERl@s74!p@~q!6+Nm3>j2hELH!anWefhBJlJR<w{fMJBSDlr#1)|&LxKG
zD=K`3o~=i8bd^gbeqBC3&8@PNAE&_9K14V-y`mFMn^ig6c@}zsS<|(}k@FGetI@GK
z&9-(OL6=Ziq3H@ib50QZ@JB?4b*~?r<Gu_PzX~aYun}r(6lP1H>US4!+5^(hMlPZ~
z2r{)>bbYv{VQEkb^aTLamc94|W0YkP=6)xq1u!@OxykmS0|{)8&w39^5WhGk${xSp
zf1{ZV^w6V6C?DNTxyo^&<(fHK?q^F+ZdltZatD*csu7F>cC+6zx*%R@GN-rNpKoO#
zOET{+hYo~eN6P}G;E|Vt4Nw{=NKQgdwe}_B<MCo`C;JPPWZ(*MjfkS62wr^PtWwJ?
zsu;YgOCBcHv7!`v{CzCfiqOl=^XZVql;K%^khnIHB{Pb=odB)0FAp0oC(n7YQ;`&}
z0^9X;AjwS;sWiK``@lMZ1*LgN8@QLTx2KQyM6E_P?B7Cmy1#NHl3#+w3*&@S4eVB$
zi+<J_OOGFh@SyxbYNNNA--U;jm2hwTEn~|^PC)a31zy~VWky$fhB-{h-+kb4!yy3k
z5OS%#XT<2D`FyZDLeZ7IdWqIW91_<izPs43#Vrnn5on=SEgfaymmoC&cTdci2T9n1
z@vtHUc}#r)2oqRqKu`^MJ}==Nbg4AXV1TO0gSF9josT_@`Y`I)j_Cs4*GVOp-{y?T
zJP19<B;AZz8wl1#Pd!Q+k<l)YaLl7My#*ke`(L!VpS@U%olLjyS{*%SE#&ES6bl5;
zdKj|_usv*%Q=Zk6!Mh^Z6yk3UC_j-fZCEqphs_lwKta06#Ez-9{XmL`J>~uEs9|7y
z6?C{oz2<Q4QjUt%MbEQ~tZ8eOEBT&I?Qxpdd0Nh{QQ#29@_MNRw!yE0UyR{5s*m<I
zbQeYSr@CO8i5zGqrKfQm!2>SlxBIcvn^PyyI`+jlJW!Dk4U66~npoGWT=p<AWN}=m
zMDP0RAjH)e&{|nqre3(94=Hu+xP>m^liappq0I~~b9KKM_bAy39@l1QX}F-sgUt?q
zIylLu&W==ESf9V#CYfcSm*#1ba5L3wSyh{;SL@}gbbmL?G?rru@>j5ydm^J&NW|%i
z<)e+0NyADw6Ag))nea(&3!anzTlVND5}a}0ehp%G!U}QhAvXp3dtH|~@vPBI?Q=bJ
zR-#!iNVqH*<AP3cI_~MC`WF+hA$(70%e{bB0m%vOHvN7V#GxI`^}f*$dLlNzt(x-j
z=!^s^oe<f17Xe-mV2hP?ct-o(ar;>%rr`Vna4tom<PzF0Ucb0W&lx`M2}H<0{X;4T
z&Hkbm$lfuki@~zYEK@EERca^DO5kuO+m?&gu9U2bHO$ndBae8Y&Xzu=?+uCl`85wP
zx>`EtEIl6QH8m5-kCP+v?9zVmQ?|^^ZFWpGf(4Nz<+%~|8}$JGt0r-ZFSm&pl-Ltd
z=6KM$)R3Eiv4D5WN~!E}5o6N+X#**d_RgPM=3mdP4gM0=%i{{1zw6^a43_OW&P2oS
z^SP;};x|5j%2#uVmw8*9?zd`C`q(oRK>eXFbVZmFhu$j0@uNSK;xRhvlLNR*x$my8
zsyz%faB#||(SyAyy6Gy$PR~YYSzx9!%honzN~ux0^fZ^cwzW3G&k!59e|&{gdDfCC
z)P~ZF0onEV3u>+=#kk)ha4G$D2R3iCYqCFOLBB@%oMIGF{w>!lV{6t=$PkKjhry|(
za4zc`0E^r@ag%NxEVDT8wFb)Ta9ZA&z(sF82(+-0ICuKU&cEL#82cjlW^4E*xJQDP
z_)i|`=y>E<0p43Gb4vy3wKv_yHP+W+HT5k)ak^l+?+MJKMGCVlg%mBqsH6VRU}brW
z?T2p`Aa1j8l=!P=)@kts0kI~n-_*sVAJmMx)HPYUV@e>?JV5D8N2L7%2|CJ2eX`@0
z3FYSNc%dUyaQK2PP@j5Et|l~}T2U3I7BD8I5T-J2x7L1rO~yLqfG89Y01>7iCqDC8
zOYaDZAynU^S5qqPvTm0Q%@KAkrW@{9K6uKTr>Mdot4cbgdAs<xb``S`7C+5EqjCHD
z={Y;E_>AZ=rDL<H5_)d!_^9A{<uqP*5+<xHctp}j7N!B)MMegq<}{_@$de2o^2j7-
zi|_CpTrDuuFGFZJcy23Zb!)F8c}~R%+F4Yl$agIlb$WFXCS#roVS>otA{$0%PiU(}
zf9nn5Uqy6L5b`ALTNMx6FKWy&Rl}y*r_vOaYATn8rjX7Kd;3}889YzHAsH+&a9-e@
zi{)gVTE@$HDFtjToI<nVc<Tn1R*V?zd0DY4%LFz1)t_=JIIhf|{$!8!F*nloc(rqu
zz?zCAwr0?9l;4Rx`q}Qr!EDUl-Q{J=pV0i1EKCOPiM#$jp0U1zqdEt~{MPj9o!VY|
zp`jVvNa{vXr}NYbyT7CixC{Q^aMG3Z1Ku^4#7vo>UKJ_=U?~yx^h|G*FO7d~9g~%!
zX*-Tvl!k9Lf9^y|KCVj=J5)kg79&LtFVR=QQe=^pv2(W$WqNe)%QP}jj|rc(xF^XU
zS&(cS9heu1Uv<rZ_#E?`5Y3G@H+|D2C`3AZsh{1A8;xjh&Vqs$>S215qk~&hQ8tum
zMqx320ypK98pi(hH!YRV;-DMB%3VQ(GpDLS0A4mqJSp>?^Vh^b6l&G`ku!0vgs^fo
z_@WL7&InOjE0N9&rP5A)tVOBKzo7k%K$Tf|j*;$+N(7(2N|m!(GL-I1il%?(INkpZ
z)2(WE&3m{xS~j_tLK@tWv8rv~URqbCOE4XaPFCO$1oK?e3~~c!FjG{NVo*W|r&(s4
zLZD+uYs3h{dV;DbG<kpiD7#Bm2Di5Bo!UNn34f{<g~-jn2+$=d^4t7_n;U%S*M{zW
z=w-EY{t*7ePoCpzmmATFsLzp=HFknQ#w=xG6o=wcK>hm&ar)IHJ2GZ<xqKn-#*WK{
zf(8#RY(uDHvqOSDpU3I&yLw%{M6>aWEgU;-CsTN=>?Q~8jo^0PxnR0@+QUs(CP#Fa
z7(L7hs+hFYA)ep*T!TDpsP|=Hg*;TtBuRsdH0pN+z6%9x?evW)ijA0-leB=or_FN0
z?r8oAkFGz05Yo_%&nhsq3dTP=#XwrvYRFXzmmmA^?qy-_d<1K3dB>Lu4}WsVHN2cw
zeSOl6yAh>(nY`dlP9z$Y(U1JW&m~-b$~gFw28<fC6iix|v>lpqQGLsM<@zG$X<q?<
zI}}h=hECqvmxtigHg;j<mrrY=HW%4U7&-hILV(-qhd6~+5t!sbbzBZo78EJlBcw@5
z@8dXvjdFN>VtEmEn8El_uh6kn3F}6b$wMnbC`ty>1L9l29}imUb%_=N<;7|jW5o!_
z6elq*L|ba;%5$(=diKe};>;moT<HfZN47_XJc5o>ZNlL#n%%I(jXv+15zzdoO@I(T
z>Ux(@1atxf>6m_v;iqhxOl9wk7xuL7C&=%0C<kG?8Q5FnEdiS{kuN7FLTQH^EUC|(
z$P%Vwvp=m98M;+#+k43+Tnu|Oe?UyH`7a@+Le<YfiZ`r$k?Z!D^uJWxs5S^)m{z#D
z=y6&79I^uxe9w)l)~szw*Zf^w=?78Iv2Q+&bf61an#WvjHfc6A6B5e3&MGenfshGs
z`+~FsClAvTm(fl$>0#Vpi0h0_#kmwlN3DK|HYgd6E&>6wn=8`^Q{4rA@rZ&-?q<q*
zYagX6-(~xudeCWIiK|*Ra!zJ<D2`)mf=k!gnffevWm@lpo?aNZLfc(rt{T3-bO$4S
zX!>&_E}vnGoKP0DtkXS5QmHc|E+MCdGw8=M>&&x4qw?ftdvLfwtgRnY|0IZSz7Y9K
z!VA5T?a~A;ZO(mP54084UG$hDiDO`{0|9L2*GpO;M7q19(MjSYS;AJEcvb5|4|;jt
z$|G=ky#X#%wvNsYLLXMY;_@I%mM(_hH(340*)Jo!KeYM``nO)y)?aE}Mi_e)BjHJg
ziPx5$+DLdg^6v3};u0lD_+pTjE!hxJr@%ZrAeEV=@+fAVYRZbm9P?vO#jq^I!kweq
z0&A^OEQx0KOxKx}k~TV@?tej$;gA<KXoa96q-D>6NE}YVVvA784*C%c-ZUvIM}lWi
z7X}a(zd2HZze^it<({J0FTgNK3V%;BCt`PEH3LK_ji%s;-|=)QBvei}tjdZx7319N
zT#j!dK4q^jt2gPF#Ynzp!Y(!UKJ0H6c&ec9YNY05Gbas(mP7(@+~;1iJ8<l1XwS3Z
z<aXMdZocS?8i-&`JGRc*dYKhT`#OmqZSHZ(8-E{u=*8D-9)jliiNMt!eic!gflwD4
ziO^D5)Mz)0ec|u(V5yxld*y+BOEkZEAkfTd`JrrtpQZ#ets7^tAR<)p$dc&RAkTBB
zb3zySMbF<pdPI|L53NV9<QXJLtJsCzrASxZky}3oc#5b}8ITfv>=Y6_hi(Jj8|IJL
z!wQ`LVLRT1OPN7z((!9b>_T`nui%d;-@TYT#Kvq1i2yZOKCzS2TrY@sxFnWbXY<k{
zBrNB%Fpnn_pmN4D_J2Sj5eb-Rx_bY!>eN4kn&JLis2MUY0PDX3$dHl!_vub;Rb}n>
zSg<;d)ICs>)}RL6Bq6ay>Tbv#S8P?w7xl<lHznh9(F)JI_2cvdQ*2RluWlYahe#$i
zn^PvmRL`eCeG*f8ldYXDMQMfG%_Tb*OxEM$vw&ArV+Q4z`Xk!=xyFN`+cN=O^V8xB
z(ogSE1HxoXzbq|N*>0T<Dc7L3`?Gh`95_BmjEr6=kv_GhImB<D{4tQypJLZGX%;`k
zc?E2?+GWtvkZ>P0#dE2ykr?h1f#B$Ecp}%AWfzgXR!~kL$u(6|URj*B4`#FBaO?%9
zI=QPdd<j3L*gRR$PWwLW0tBGvkE+;oH#_Q|wJqJOoVl}5VA=3c)fm;%I?pX$-&RPF
zGyIOP#yp>a_%xdu@l|z|6X1r=vdy+zvNb<_29w2W5kShXTq!e=n|_5f$zw;42&xST
z$!rZ8Lv#-Bfy@%}iu*Qj`ug_55pdwfH8e8m)N6nmG^rpZz#b$&mRISZD{h6gO8kU`
z_`#(um&MU8<T#K(X4Kd~%9U=1+z^?MG80Oo0SYb_zFnYy%I>p^G`X%k8~X60LFUsH
z<o-mQa`cV=BV|cTWdLm^9QxiTXug#M&{t~5Jb56h&h*zTxHO*F8!~naY!_sNuumA}
zj62+wu0%&M=CPvg@%>Q_TVl{}fj-!=^4UtmqY;z=qhagn2yM2%QodKQLdkvXcbDYH
z29n<)^}-)V18&7cp&e+@9Vs00GhakRRpOa%qq(p0$VW?2{6t=md@<&ZFO(eTB5qXr
zj=o6c5Mn=Vl%`F`MEcmNoH-X@<PaA5*kPH93&#<3@cJFz6kf0MmAzvzefv-<YT9$|
z+Bw_h*G-|hfIQE&=UnY{f}BtG?Z%N5vrl%z`-!z9sgn1q8_&7c=>#U9Y^95vM1-6Y
zl_$QU`qQjd{jTStecL`6FW>tyndMd7S^nmWynak|uEQsaoHb0f);RC6;Ww1%?5G`P
zFS~N1zk>$I@^{d10@?rPph=W}2MyZbB^YZ<wCG-_HY;8zB>wE>8_-5O$*NIZ62yf;
zrHFy@dViWm4pP1Q;FZ=<oAauCc(HtHXI6f{W42p>Wp8J}?0al>eCdn3v1w}S$=z<|
z<5uOgc<bhYQSGaJu|an+Z`)*ha@CvBEbG~(V(0W~Q+H8dw*vVb{_OtXu9ki3sN&?-
zvQScMXNIwHdFOFmm4n=;KG<B|(<E3$deY>HaiS=FjOeLcbdE2_27O~qz?ySSd|G@`
z{cQjO5>`5@oN4$J^G}MoKlMz<Gtn3KEzV(1jq1Ud$!?;dKbXn_&^IYvPQIHy;m`J~
zFYTK}r*bGxAMtHC^PMER3%i4kURNW))59HUTY|i_00Bm6wWcJ(Hs9kX-<#dQ#zewe
zrbyYH^po}WR34P!(R7aroj!dFoD74?q-CDqz}q!k9EI?*uP6@82n?Tm$wQN=hDDG*
z!xEXfYA+0@a)K7Ha$lM+s})UK5PUNRDjTDPt;_qL*r;rUB?_Hq5Z8nQW2N?ama}S?
zd(x%%({b()D8>>2PwYH0km<38Got1Ve<+p_oXgQp5S*lm1NAL=I878>tT`cLxLqSj
zCd$}H3Vu-_SEVUze$`WA_G0Otm@!s3ir3eisQEg<Fz6NFH<pu6OB)9(3wG2;2D=vK
zsY@h6aG1=@*&lOD&+W*U;$Av{i<TwZ7=hJ_6H^vu<|1b16lUf)6H@~dQ&baEcxL9G
zOh<&~Jx6m`l@r*Nm06S-)5=sQ7Oc#yM9r)y&8%=I7KSDkXeJhz(#mvMm910D8YdQt
zCl=lveTNeZI1_-R34rPZU~vL~oF+rC>GAHV(#Q4r!%}5eP}FhTnZpB|cS!ERDkF3!
z^wwP$#{J`<C&x~Ztrxi?cuO1Y`43Z{_3u-ki=F#_KK1|37plP~N1}T*|IQaEuMekJ
zlpd@19|#2Fa?H<qH(ot-<yAIqC#igXo=s-9IqRoM-8(xYU0hsO@sNUe`3RLWyfXRu
zYnQt!mdp$uRvGjgCx07^Ry3{UShLr4(OTZjHe?6-uDrH``O8o`cM{H9S5akocXztD
z`nR0AGR&HW?5rj}gH4~5=Nsigd`?rgc^0QXczgQkQ}tYGj!SKp8(jU-`<vo%K8~Ig
z6EIOe=n|h98eBcy08;zQH(iC(>y9(B_>f;qlpoPR`cG@Ovd_I2_KB-$cVLeV!cqf1
z4JJ)nx2C+iKONk7oUc<mN!Nco0id>8GF4UejCn`pG{1SjRI&q~(YZPu*y75!3>k|-
zH!dYinFD8^5C$#SGNjMRtOy%M+C3(vWh~7hH4VW0z(HXG#3;;zch;~B9HkPaWSSAp
z3)9kZuWkDRGwP$F^1Aw-tCCO00AIqG-V^Cl843&^)sF!4V8oqpx1AnV!{wv8dTqok
zCCTLk&;Y9dp1EH~5Ab0hX@8IO&j`J}^$z@za4--N0`;B>(?Ck+7v>byGP}W%uvzRr
z-w2TwjBZdLc~tNTf`^<n@v!H9>;4Qe)^CbTF7)1RGX0|cgpvtIggr@v>)rdLKs&;x
zqC)G50L;GM#7gooa+3U_4kA31$o#X^kidj+AUaS{*e{QqVHDSEDD!b9{-+9@Ah}<x
z0Q|9wdl~R}z>{Iuxu9@52Eo^EVdChExBwT!eXC-`bc~V!S7cp&u7vJ8TU^`}M!vJf
z^?$NO^*dWw|95Qh7m+-8&V{_Qg>N?7J6pi#lz^W2O#h87c)fh@%AL2@;b!@p{$h*e
zhQlWk(ss(f*kWY38#!8UY=`;krc~h{Aj9^51Z3j>FJ%5NWd4_d^}h=;jPa#f{{R{G
ze}D{t<^KoEApMPH#H4_?+toRwyPwxdg!YfFZld{9+exd})2h}wvqIuBJ6H4gABwVy
z1l@HV+*2A4z$O`2t7~Iw^Jl*Y^q!kG*1m0)WZ29v><3ZWr(b(ioeex?o195(qQTr7
zK3v{E{NTG2nY=%G0xnHPLp^ko#Kqoh0-QPAl#TsHnb%QW*ZEklM!4NWI?Cqmp-Dmw
z{APO(6Y4}aRbIuB)`J>^B-IuVJn+Gn*FRC9aO?%cX0tgb^N_y>Pi}AgWVz4L+ZAQ;
zKW1ECo`h@fRy;IoI;!H;Qt0)l(W@UL(Gfj*^>nYZ`IFVlc<@?Z4|=K<QZ?0H&09}u
z+U6kTlmzP67t$>S*p|N?VpXk>(v&-?bOl!{NSu;=%j;(gg>+xRHeds2XtarF0ErBH
zcgZ3``lX)(`-Srjl!|7;5r5_7h3V<KJGRllSaH)cyq!Hoxsg;E;D-$<UE|dZ@Vsjh
zBPfpmARN&y3Xwzf%0uhf*>a#9ec@#U%^scri=1UgpyQW)tRb-AON8>q(pTCJIP^Zv
zkH2^1lpvBvV0`<$cg!GGyyMG`JW$!7Dj}<d`^gbQT#-E@toet%_tTDch=1;gd)QMz
zzCrq8XUAnLO^<$~geXAmuEz3M&()Xi7(%KMLFy7cD+|ChnnnYXXMcnEi)h|ui4(<+
z821wlvSL72uKC0_R05Sy*B!>6<}(s`a{ejl1#&?7&vaZ`N_H-it+R+@F|l-9JjELp
z;;pmkP6e!t1h>DU+^47M<axR$6PWC7Odf5sqaV|0DZ39xgA-}%bNSN3uT6}`5)|JL
z3i;Bo4@ND<5?B*y6O^(+Up(2k4@R*POA?i{m4rQ|sSoINbuK5~u3wpnw`e>hs;l)p
zFT5Yfo`#nMU49QN#&mWK>#p}Qyj`J!Z<`?sQYan~+nr0D{{b_Af4~gK|5wbQb^e!<
zC#4Et_zxxD#IR^p9iM7PC7Dk}^mMt*{+{3JJivm_kKJ$DkKn?u!_K_T>cOp;gxkAb
z)cZn)SLS{B?q5p&W|VWkzA>q?cyl+R^WL_#k+NN$Yqhv+7!Ga=aB!uw3V+8xvJ%&J
zg$4}U>|WolzXmJ?PX8BZ9^XNOa(gb|EajGAqH#NZFS^P3FVjqy!oIwLKOmYsRll?b
zEOw#5rRu-if8WD|_FdJLTTkurv;2iXuE#TX^nHURifufV&7VWgu-Z4VSk&H^qG}s`
zF4D6<$?5BB+3gn=0kHeMUXu*o4#Zi1jy6Z@z|92JsSndrY!TMN9b-*(qRou9-PQs&
z@eW;PQi?yI)>Yol2UThXK{G4D;P+68VSiyJ$`l%&i4`JaOu^_Fqujw!5*`;$ib{vb
z8q@-mG+K#PwipO;f=A}RJ@Ja%=U~;ij!*=fFYC8BHwLny#1#ERANYRV^OZ3Yc>poe
zIb4({K$J)^+Lwv;{jHcp5hHmFbn)Lot|!Zk8s>gkeLQb)f`*anL_5${Xb2Y~UtyV4
zk!q<v{l+W}$bcCr6)p}JMrMPm3d|Pnr;bX!CfK81q=0R_LSnsz<+eaCl?~3-kFSEf
zDx?<&$>G7X9``sG<u1eiQJP~nL&G$O=RXK+F(kr-y%3$%B(TEHD#}%x-NfI)*ZTqC
zj*USB4N9Ho|Il1R);Ytz7Yt|T_{FnlICwf&9`te*!$F(vFs<bwXnFivnDmgK=OK7J
z^DHH?CC_v3H@EgIl@JE_J&SuDKHV|x;&;lfyYV#fTRR8;YSH|Q-(8yGmbuxkubIdt
zJEmt&+RF39r_Sk#vF8bkOLpUqY0!zU8QUd$f_F|@-}9$~E%UP90y0Gpnr$sz_;S#h
zA6V)Q`t*hk-{HeW?})VjA$V4u>z=2qy(x&{Wj8$MkFvp?60|?W@kBNBKcI)>@95#=
zV*8&nj!Lgx0Sj8^4fbD(K7NQ3;yXj631Pg`N|V*Q9}Lr>O)^4Q2<7$pE?U&A{RH9`
zuRG0ipZ4%#_|&fW<leyiiqhQP?OoBEnjao@MZN2qrnbyV!ko%VTmCE*`Ljm*iY(&Q
z&ecQh<!IFG4%fwFrS*tAeyR1iA#|9hnrHWCZ?&vp#ow#DbD2X!lfd}xjH{ng+u7`-
zCi+2034W`77FrJj1C&P_a0u!d_ejP_vo8!GleCV*LyNDfsJvg>Bqi0j7Cm13++FV<
zAV%A#4I7Rsd7EavCJ*iZIN&|YFFc}6zRQ~XnD>mo`bFS^zvMiQ2@8oW=Z_`{{n_ca
z4nb|sH@6|eqrV7eulZwJc~g^UbG1#kJ1M7@bC=<1-G<oG;#(Fq`MyJDX<ErOb%#-s
zO@1R5$v76|hB4{a{z9aHBGkg35d@^d9)%u-3T@<V*YcdJGW|RAZT+No59>1^Hj7Fg
zVjL~(i4R2sN)KA+gPaH)3J@9ZREO8NDllEdNH)d;2BQ@o5A2yr4MjAhFapnR<!^5t
zz$1?22*J}D9l&gYM+gW9{>J^PSOORk&SHb(r_d?vOV<o%>=}=bB3hVs{z*3g^9z@N
zgDO`OFFIue^$FQ2vgg~^Aipz4;cgwtk)#=Qr|lu{VJKKRoJSA)asS82u;&2$B(m;A
zs%{mKUl|Oz2;*9&=x55<2y@YU2?`~0NM-%)e65K6vw&e#VscdC^N7UfQ3>LNI4@y=
zlVG0(dT=TGwIcJVL?;Dl<9neYZ6qgkl@mA#^jV+=TL8fp&|nKHu!Yg};3qr3UD8m0
zte4%IIJ@zJw%g8a#+C*L-JX1l%+B-1s&g_#Ql0R5*wE?}wkO1D+2G;7&v)*B7bOZ#
z_9m{zrcPvZ4kl(QrW&7FnE)(IY@GB6%)+iN7WPhb^vo)jE;gp`TV+=xD^p{a_dQW3
zQ$v^cI*{Re7czHC7Yi~APX|*cCsQ+eW*JjYcY7xjXS(;#_*X+qdpj{h7gI7iF&;J+
zHUJAJE0B#Hz{0|z_1;3(-sJziQpL&8!NJsojQNY9jk75Nvx17a2GbW;8yh1-JG;LI
ztzu#6O!i*>WALBI)J&b6-!DhT&cq5}<=|%H<Y52I#>DwwclF-keY_w`H&e2|MnX?!
z?O^C);cRM1=JuZ*Ihg=VEc6Hh0)KsP_C{6+|Nd}LdA~<8W_cqkWfxlnW;rrW&cD3m
zPR=f594!AUKsy;52m60I(f@lN`nlGs9bqem@3Q)D*1nLzLpeR@AZuR7y|daRQ<~pF
z6z(>YBUVL=Q*8SF^4}U3tOg^_O(3CD;Tl`8qDthx4HjwF2Wl2WBZ4G*#d?EPCs;M{
zXdsp4Sg@=U;io}{X(|)alZA$IE7^$?X+4F;Tl>s4JF`6^s3y6pAA|e>$poE3t-+~*
zR>Vo{hQS8X``f>=Az@Fc<}Hpst$Dg=0gDw$XUJ7XM98Xt+anh9*Kh|87P^c;HDN^J
zFIZQ4!7AjY;6r`=HJsa7&@tdIbo3!w;2YvEky(8MSm_{lBsF@N;9nBl>bIXXK6v4w
z@}WUeuH~8U0AP@sabEj85c$+JVEKmHdko@|40<fXMI!3a?(*O^IMFammB_>`Sjwmh
zig83BC%ha`HkdvHLkt>VgIJk4*2t?n%(d96eP?fyJ)vg4UVPpNXF%ORD)*(^!IOs6
zL3@1Ya)0LB4~yQe2*uuaUm=VNaOip5D&#imehob#A@$2ni54WxO62d-o=kUI`jkrB
zN+L*yyXeW!gp0>myW{A|hkve;vyu@Qiq(sHT^e@Cv4*aLF`lme+WF@dRfzBr(u{%s
zH=a%X&GGFo3@LPK+nS&c+Uwtu&`MN&fuu1qk8GTtoL1>|*}eU&-Ve&omo@kt)O_+V
z{9SMrc&xP&#)>8g78?gN-VPNCxR&yIW0nN%+%bye7?MJ}(<fFw8k}dyPu=yyk2Nm~
zHAVdTKUHval|s7lD^gX}^X_;@pK6CrtFDx`COpdgBCp<7=vGp-=C<NLKGaJHXCz+I
zh>S9!m$%@fOTVm%tsqm}B1f=v>*&l73M=Y<rn6e*__K@{x#kkHd}20a{d$T|${Fp>
z1=xDS+F$n$CY1_a)gXxJKtcEM=B&s)LS~0|Eos--+~-yG)mc(hb{x38@$HI2;@p*3
zxWkKA&4Yt+%l+~gFwChn&Vm-`)<LEkzp)EmhvfkmjGi%f`98ay1=z=BNOA0ky$tpW
zyxL`PPWoKwPYL?H0D&v%%ZoWPf~6;zTX1zr`_XOJ_YSgvbJUn*D4Tr$syIawixfX>
z|7w!xEAVK$r|)%gr{><S`xt71qo;#C?Zu#QH!*O@k4HwHC>xeSP&s1W>MN9Z9xTxF
zBYTe_WC`ghpLFFnsOd~)6@r6AT6j@&?$g;mX|8w|kcMTXmh$rklujIFTvGf5Kh@|X
zQowD4%#Uz>Z20Og>rsF_yY)nA0P)$cj{1qBHC4@a<fOf5I4r%Efa#XC4l!S)cpKrB
z#7GQ=W&y}{f#l&5dIT1+bQ7Pwj~{R8WnI-@N0Vc3L0XLkTl4HmGx&4Z-}LciK7*&8
zAURFrJY_pX<yKA9Z|!VsciYKqs-{hAZI@7ZXDQec?-GdofHF+&CB`;X)}|I*i}_>>
z^XWRPaupOP#YJK?EJ<TYD5UhVY>dZLd63-FA*IaRg{p+eU;8b3{yaZR_`lV?K&9P^
zpdj6Rl)b8gGhWALoiQ?EJk-tQruuavmHQ)?{tRiTi|$8%AqbKr;nM)n)@hCLQy(iN
zkU4KboA>~dss=co36ei0&Ss#<^K%*-Gqq%z<z#}UnVNjefdmG&j$f;!uNTe<O{-ue
zj$<&cs#GKI&R7Jnw0zI!aR^?_y68{d01}JhClihSkPgN44oCc=_<`9%7(*p$B%~C>
zh;c!=Z1S`6niN9#7iQN4EL|R)5M476*|21r-z|A)wVPEEC5IM%U=3&#4fgzLg(4Y$
zz>M@p?`M-tnMz51e-dpAediCT&q@-|l_i+((D_+x&Om-`5mQ2L%4+uub`Ar54pS<m
zkUy|Ng^)Ul3jbVe>8k*-E;&xCfOSlzGr=zlAQnK#2(@+k5$V_Jk0iVwCKLrrL(HEo
zO4g~R>S3)qlao`C{A6jGWe*%(CpLii%fl;8mF#15WCJ~1Ce|R*#-_f8`F3Tdp*xc;
z71uQ|KYmu;A^7!t_p<s={j<kWV|;09tegXx6b7#&VpquLU&#QMby><q1LfXkT;sLy
z^$(+)voC(!+}z?z+Gm>MD$UfTPTlyjwEO3)qYWl7_p`E|_ZXDyw~wbAAIBM8GGndQ
zWViO(Uzh}UL<RPY^{(B0`bu7+r#%L(yLOP@X5?4yX=W^BpT%xJE0YSm?mIj}7hj-;
z<v-?Eiu9<6i+-Bnuo+h(U;0#ZHm5{?&{m`^qQ7FbUd%Ad=^7>&kY;cA%Mox_$W+T)
z4L&{sTXJh_3GfPfYcEBO!hd5qy2M1c2DF^c)V!WuoE|X?_4iU!*&GKF$z_!8X``sC
zJ3XpPu7nOh>|BXHzL?%V;lZWhXPcWBNP=u&y|!cpzEWpmf#C&pzug|e$R=pQ2Qu&-
z`N+WyT7s*j%6Q6CQ|=0RVsAf>p;~mL`s_s=TR28KE@m#7j%LJR3m%bzw@q~`S&6Fp
zf4@G*>7RE-BI&agp?%v=MA&-63!GH{xOIg3SkE^n9WMbDH8f}B%f{_UOz3{e@9FT!
zvi6IqR<TGC3m{U1qTV#CV^pAMOBi*R))3bU0C5iODt{s5GK*ARuD!b2y59|IuW@Yg
zUsX}0k;f*#d+?|uW_?lj@tjGg;I?WI`N;=2dJ}72jZLF3=nr;zi2p&NM?j{O2)Kp3
zI#j&2+BJlO*h9ey@tz%?b}IEi_kC?5iFsql0M0t|$llpuaaR@3D|RB$96Y}-PGBk}
z&pv#gsly5FCNUk^in6%L?iQ?0zkWP#!1P!WodTcXjSZ{nUZcKXzD>Msg$rMNr|a&>
zGO9(pJ&(pQ?O0#c*j&z(V|Lx=U)w6w0}ODheJAk;jNy~BVCc)nX3WEM;>PCppA6ct
zRmDQk>X1$iA#C*Sw|gXN_8Y5vh~dUDSH+doV^tM6isQyGEzJZ|6JT=Agr621e<CCX
zIQ6R^vgwy01FoMecp$ohzPQig`KOiK!V<Xp0yY&k0*t#M%*A7`2pw+kc3q53;HD0N
zOSV9)kIXCdoI5_`8uNqTK)b1F`VpqfUSH1V-Jc$gSLDKe;@SE*N9sjjaYHXzw_EJZ
zCyY%nv9jO#_if(7isR}sO1tlYw_{A(8_XFqfk9*1?&ViYhV11T0>1g8fz3k+#Y9+d
zyes08M9Bs9pEV^HOX75l?ua&##BxI1ntsg>vs6H?mQ;JIc{Ze^LH@CD;<V)P)t9v0
zi8^SL*Z)x2kS5^!R6n*Z;Co#^)-K?CQa|=A;Ja5p7AD}kHZSZvJ0CKFA)P;4g3|F;
zj9pobmv(D9j=Ohv@p0VIbxuZ4`-v}&_<E+WZ5S`@Wia2zYYSA1*Vik5bnvP3&0rjS
z<4+MQH2x3f_rE(h|HGoxP%<?`V3x8oG4&wRW+CGS=pryHTY8zk?;$X&lWDV(v6HdB
zpHs58cOm2cYZ*@IujXd<WdE|||2hyO)8^w~5oZCi3X8s{0pb=FW8>rkiimvya*2tH
zefh#7CdMv6_TM*ozY56I&ivh=XX60=k0mhi%s5k!BG%wlqqZvPfpvve<#Sfs_T@q}
zt_1~ayku~2YlH*~7YnsmG*ZX|3)VLe#3_GyKTY%VPFjiYe=wA+&_WIHOx(cq--Uyu
zY6UUlgH<&G#5Dq4HA0akMaL3<JlawML=))mc66aDXN)49woJ(oZHp(u+*un$r?9rY
zQ^F{)K;V&fl$Bt%L{NwXsf!4g3TUvwU3Uf%YQ~r$3!IDkWQhF50BgvAh$a^yq4+u~
zM>fsMRDQnrDW(K}{yd>XbN)H5gnNEDtHiVZtg8g3{^>m|R{wU-tou$29+3NErXJkX
zwvRnxlOdd29;~++?zG`$dAWZ%HEI6ee`RMELnjxHcRhr_&B?|MM4+Y?m;ZwB{{XUl
BT6X{d

diff --git a/.setup/latex/pdf/betaNB-zzz-tests-staging.pdf b/.setup/latex/pdf/betaNB-zzz-tests-staging.pdf
deleted file mode 100644
index 6291f8c258b23ec4b95c2f7d894b4db1bf79501b..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 111332
zcmb4~Q;=l~v#ravZQFL2ZQE5{wr$(CZKKP!ZQHti&bjAl?}&T<8L?)}m-YCK%p4<=
zR9;w=mXVGXigb2yXcdZ?jevo`*3c4)hX;yY+Qi1p$((?Zfs>QqzaJ=iQ41?469)o%
zQ7Z!{6JZl0TVoR_K0YW%CkGP)Ybdw%CG`!P4N(N|6*Zb!bf{)F&t4E~z=<$e@ZepF
z$zOTr{s|Vz!6Y3d*pKBqIU3gq9UQ8{tu*=&dC$YlX3vw8mLjuIh)&D|J8yU+f$S^V
z#1)K%ig~Yqj0SaNFqDLh$v8tV=4iAb#3cnyl4J+1gNWob@9LzLR-IVW2QPm52*s<C
zV>kn04pywch)wJ27l}80FeMR5wcN1dw#g^F_A*l|jkAHfV(#aoPfu+iVw)ya$Kph_
z%<_*ujx{NTL63z%l>!VVXt3IC4ZCSQZs9VbDNL9$4mU=M#MvxVjHT*|Ojy7Mvqarh
zR7LJjcYv(IpL2(xcyY4^@C++y)_s?$W5Kzrz0l#mapd!45JbRQVwvnxjUcb-*n!#U
zINEAak%R~6u$7BW4Q}(1Gaq;_jf#QhL8ORx%cJi9{<oBnEm;sPjQMD>1qE9u9t8v%
zmFOXKPduP)MdJv2>89Kk<*Y({f@z|)r+4gT!PzW)Mh8;*2~P<q{tQXTJ>hLX)=9&e
zO}BEG5PZ)fGnxx0bNTM-^TT2hQ}5R?KcgK_TVvh!V~cm4STCXkpI67{6WjOZl5{q`
zP0RNs#Loip&U)XW1J;i2mztCBW#;vkiWhUV9`aUf?)5cY$HpF=TXF?3=DN?(-0t+W
zw<4+c$9*Hc&_+?wGDDd2dN)><277FTsZzwDV0V{9t3|x>nZg`R;?%)9?uCyL69;<Z
zke-T`@B{b{F5G<6?N(D&18iRMkE=JVtTlRVcZ=+>_ll}7*i(-5!Z&ky<6;~-2=dut
z@)UgGL4P)&1jLzA)HW%_!sGW+C4u@3q~OQk&&yIdz9Njc0`j!Kp4VBA<nl#p%uZq;
z5lvc@>ylBMZwf0YY0=krl2kr}0{FpqmbqN7tvXLXvCVW@XcYx;BGbnPJDR&=Xl3Wb
zr<9`cm<y(^e<S3zmqj={Oqt{4w5b!HuZw?()Zt~o^cJfkl6iwp;!TF3&pb%CUonac
zX9E^;+iv=7vfUDD%J1G7#c)XU^&q;yntbK#Kc;Y<%Ov{s1c9X2FieZCdu%W#38+(5
za~L)Iiad=5c$w_0o|Bf_u$p}(SQ{B-xy~<|)~goV1w%GlkGAZKG5tKYHjJ0;s9OiW
z*^G38O~<>{pm8%!psVYaGuDPFZ5RxS6jX&|ND|nwcP)u|X+@|V1?CA&(^Lt9lk+PD
zq1M1qPGFElrX;4h<AJHMIPeW502|5vz_a4`TvE8y{AmvDnrk|84m%oDr?AS-Mu(U@
zDLo{lM^N{c+Rb1wSY@c#5H87UwRQ>BplL_$y~}Ydo{>55CRs%b@0a#Vh{Ki~Eg9ip
zQygPHvX*ck2A9uLmu|KpQnav>t$0|f{(|m<t^8Hiane=)=R7rx`glg_p_|E@z=q$q
zxY<{~;cEiZ(Gn?86vtTkarb7Tv3_SLur@d$ClSiT#`yoL%HOa5QY03Re@YYQ|0)x~
z|67`_)TCmu*<pG<)F3E<-29t~6btY~wDLO515nKCo;t`^z|F3Tv@R=K9L0UTDK8jv
z7%x|$F#sbb4MG;h55?k%C`p?M^Vzl|V`<sCLv1}IZ{hoQ2GvIO16RFj&0N4^Gv4Ij
zF@li@x>E7vF~sKMP}yI)Ic%EZ*ERfiN&L|x+h1otz9=X{Gh7+ZyFIM4A-YhiF}x7~
zi_{3JRuu1I=cJ=PcD|h02#UTjrpe8K<%{0&ikD9*8#Td0q{$llC7C{pOaMkr6Sy*?
zd`up|0GJS*g^f^f%V{Jx{uDs!7Buqxu*zcXlGhK{kyUz2HC=@*qdEst=T8qbkO4_V
z<bI~ELdS1}uA?lDi4JF=tLf8fP|1)nC}Lu}gl(7FNhglwKvwYcfrk_s$Pgu(A9Ofw
z#hEs^cIMSf*u$`}*{OqxbTF<W86HQOJ|y!_4p~bK+hutc>?=ZDlH5$lCD8?a>CR^A
zisvODYZl0BL8=DxpmH8d4EkTwKBL~4DqAZ+)&pCxrk!xC$hve6bFRDCkhyZFy5#Kc
z7Tu!=ZBY|v-<w<jNtj7fOp_%^{^FSI7E#_t!1Y_uwhLAvK=f<C9|ear-kpHE-jyWh
zfTV5@KrLjg$zx+AzJ3&585$GS8|((yNGhf*RQ+546qzHJm~2)&qBpak=CC$5Vl1&>
z8(|0?!;<E>*Jd<T!aRJkd}qj{Gj08uHp8L9;U9b(8S-lH^7az{eA+rtf+_g+N~e9x
zaK1~ObFl#7voJQOWYOevu=;|OI#|hWZ)Ct8!rpf@bo*@LTDQH}nk_ouUS+9gX44*#
zk9xod6Ps{dx28UYW5c35t~~3EENsT%N@PEi<C}uNd4nCfNq(42V7HI;TC1Agwe#ls
z3aRX9Cp(JTIj-!*Gn@DWlk=7}iJNVHk#^hE=B=K+E`c*Ob3YFWQ2#c1?D()%ftI?^
z*?IGloQN{@+i3fTw^yTh4u7E(a^T=Szy&XsI5L_C?~U~2E@{Bk*|~B??g1?gU5=gJ
zg|d0G(m_J~sKjuL8qv)>O^UcR_%Xp^A8CL*KQ3)_Q=7#}eL=w@EP8&zyQSyDox{UZ
z<0(ykU1<4iHsxH4%Yt++jq6wCeBGa2wwl?L-#W#-K|<Woo*yxl6LXn+WdVDlAy^D>
zt^EK2<xP$~0f!kX<~?i5ef8y)eQkhmKxr5JH8mCDmGuF4lD2^g<Eq6tu2X!=!^tn`
z`I38D=D6gK&p{`*yI6Cap%Zd1FAGB_w&AB*MDKcJ1&O+(y4}N5WWlvEcPV6GSjDb2
z&hZ@TY^|3+fX+q;_5YL&R;GW-1_%59ZD{^~WJ6=ic0mBf_eReiE2Bx0<-z-v4}qXQ
zg3v8ZR4vCZv}U3tzZ%z?-Qx4<HQ|^}Ml972O5_4ham3k+Z{zK28ka<oFmT@4q24Z2
z&+|sJ?-W`z_bFFA%caU|il%a0G-XFCs{mj)y*d0Sz@8LoF$=a<OSiU2vS<zl5ow4t
zv*@zxsa}D?xz%;n_6px}5QmqF<sz4P1Q|NZf*Sb(<|4O##&brum7BuurftJ_<)W1v
z2jO`%^dQX_5E6sf0TVE9)}db|F1kLL#@sVFO7VdJ8=1#4rr@jj#~*2akH<btsz1w%
ziw};j8HEr7+JO@T02dAP&_KbCZk3`x5Z#2~R6+eJ&|;DEi8h+$8?CsPD_cu7+4#(n
zkb+h9xE&*A;h{NL<hxfsf25W9efRgK_mv-2=SwyLN8k2brtXios}FJpii}kPs<&{k
z%P4AyPhN}aa)yHur4d`*yX)ZH)<R8Bz4Af9yJ9AULIUw(xzC;5GA$mlytz;;r=@e3
zr~^V?UJ;@|8SFcvQ-pl`scB43Q_?RHU+5TA%OvQSC#Y4eFw->|ZAofU`9V>k)zeQ0
z7SDZensQkuu+iUb++s{-1tqf3Ga8u5gu;pbVx)Iz2hEwRW@hs1DHvEZPZr)x&q+|S
z6-?C*q$_FO)-+oMDwCxy+de9!8uJz-DYD#4numb+PAg~@M@=dcCzs!3)?H36_my34
zs5;Mh##)|h7MHo){X7!yH0zr-3aH&TS#YjcAGQHFN5)&y-*7fOwml(_2EVhd{SP-A
z3ZgVVsw-A@#9D?cUDPcD?Po(*akX{2)q`2V&#dg6;!sZ>wYajHC$Mp{(KbB&1k^Zq
z(_ux;0>{>lVjpQ%q~{|gxUzL)#NNIhExi(D)!s(W)!|CqaPd3@q=a6bB<G;7x=S5r
zZ$y@dx9sR33r0n3_s$4M=@P#RNVu$oFuq^0M>z6R$;tDL34qVqi{ip9iKfiajVA)P
z#Q|a4N~fjE2ZT1Ea05Z2qD)k>D0M7KiU=<7YR;#UmWR?6hX~Hv(8uV{E#ep$#p}bB
zh8~~aJs8?|fG&LDtM(c7mwdshUJw0MZ2h0m`y#aTzg!cq(bQM&joj~c0>6GK<Pd_g
zb^%UsDUvKt`ZC#aUG!YF`T!MX6G{IIzW*|iaIkay&ph(~gRi=j+=c)`&xu-9SsYS1
z8~4X{MYV82fF`8yFOLG=pg*(9gn%PBr?od#J8Tru3Q>~DILnQV2kw{GUdZrI?QuaV
z!?ztwGQ)fJp-9>UubZE+J5*BRMl>2`YzbW#03L#n2u5DOQ4F9xNEy;LTru=*x9zI0
zAi2yk1Af}hJ!}pp54SD!YxvG^F-c@-TLuwPHDRDT@&w~{x%&g=l5`!me9t^4X_riT
z&phFOd}fRUELP3~9*iDA+5Z6FRwoTb+T1<balG@Kx(kqA71&d<n5R@J=-Hb@?W2NL
zRP0(YaN)%`fJ)2fM@^!L+uXuTa>2{@zqK|tUc%;OY5r;~7YNR)QktFjr?9r8itbau
zOcq~GrwA`KkSz6|V~7Hi#**2$^R-*esBFHF-<Uq#V>7qn>bcf-U|*+sq=G*h6~Wo?
ztgZK{gDD;8ux1I@PF6AB>CB3H!NQ)^=8wsnb`rJhbjF@WQ}|6D4Ax`BMRQZwI%REl
z(xPY&Ax@saYFckS!}UCM5N7RldQ`$dW6p@q?oyTGO_>5S{P5Q4tiJ$XaA(2Kmo=f+
zPja3NtgUUj$9wmVReUn%#)uobuy&)LVK=bL1*2NI<`6%r_HblfrwLwo$C;8n_OM4;
z89_V%PVJOSS;{9a=o`jC(>y3c_2S4yt|7!#<Z?t<YAwxODXzIzqz@6vonpwkBu&~>
zl$0VFppp&&o)PIt>8@Zdt>6?jdBke=Og~hp?cD~d;g+~mAHm)yc-TBFnK%ant*6_3
z%l}IjJ9&aaR3lJv7-c4~AmqM*J?1`6MhXsEHB2l1CK@2!lSX+j8l+lla)@kJb9!j$
zYif$aYt{b(PTO_219%0u%?4SUd}3(nI`_gCtR}<g-s%b%FI}IyonAPR#kGArx%kM-
zWSLD|CRNW|ImIDLih5zoHvcQ(sc@d$hk_aiC>2$zHwpALVg1kV9F7F20~tU8cDd`5
zxl5NA{Takb@CgQ(<AYJu^paH5kLnt^!jUaH1UDm;#ZI01*NpI$<;!&;EtuOe=M0rF
zy&r9QW1~?y8km_I*$?Xjue;LAU`<ohNAcS|k}w~-(#j@F{)d%yiz?fWZe{GVW-rVp
zs2gyxDz8ioyr7a0x2!kO(l5I?yHo^?AAsabI>dj{%f|4};>*s;{2$P(Cx^}WxA>NZ
zrNu=w;kh`tBv@<!n@g_`7CC!wJkO@MU<C;M5Z+y#bUr$az*cmIGqJdheeF9UZPXud
z#HA&nD6bFAXl>0t^ScO)!ISPB6C=&&s%&I6%32L^-sFh`LM1zf|EgwKf@G|?6Cp1w
zC6kFV5do2i5TzxvTz{LFOe#6Yh2;t*w@OaU&sfs0;30#PuV;oFjqNXgU-o|b&J)Y%
z_^N%F5!><Kb#P+CtOdH$d7Tu!2Zr~7;R^@j{qqNTXikM{<@l2J<YLdz0jpzB15kEm
zc|t{yuKik<z)W*XTgGOr$(41x(^jAYup_aUB40y2l}WKM?j4*L1-3H|;0l^dDu8$q
z&=hA|wQk0~rA&a{Eix<ehz9^csZ?2?02UA#07dye4lQj=*al5%Sfh&>^m&xc5ZEV^
z!0;eo$zxX$p}`empzL6Oy*;ejzL)@_m;m8Sm)SU=399QjYk9RwitINp_%xRS2Q#<1
zwBqjo+?0#R$i012vxG4u_ogZ}5v$8lfN0PP%sjiGgT1%6OzWI`f_S+fhWj_tdp)9F
zr_Z}1<9C=r-BexuRhv&nvGiY7WApubteFuj2oulz`PEw#uDm^6KHKD6o%>~og`e%s
zFS!x`>j8upR3InmylgyDlHcMC6wDqUBr|?%k1JMBUEZWG2olx?gU{^c3{rNW#pxH~
ziUnyr_gy5R!8WIC8bpA45|+E&IINwG7+T~y4&_akY;;QGP^F8aHHz3vSLh&oT-)hI
z&FfXBW1q_lE@xe`RiIMQDIYd9>l?ZkZ*#xTO86QJpuJipjxIe5?Ibodn$)75o87Y1
zeYbpI6T_#nDhW93mcxpdzAaZWFBG~(%%r-N>0-6pqrL;jht3=H1&|won1|!14R~&O
z^XQ?$>fqJdi!jj1NA5HShKDn&8o?$e6H@{RP?IMHdpl9#<3q_iGW46wt@_Jz=7?5~
zpQ1HGc0vVD*x`E3QT_!WmVW_=f#p8{Na}C*`rqX*fQl5!-VDDH9z?vTK%AEV(E%9F
zov4D$S~v9D)3m$3yIv@aI*Q_c=$j|!$*XbOmgl#4kr3FN{nytn6An23-_{kZ@ZpUZ
zsT4Odw%lw@eavxb{|^v`*)mxQ^zhuQM*Ud9(UoL{FxHg3;Q*`F%xc$DIa1<7W98t2
z_yN7bd*MQVqZP@_cb&6)HLRnswmDnY|F*Gt*n^ZG^J|xAk#q0$AJ%S4(0WjJs0i1t
z8>vf1;<+))7M4MQW@Bl?r}=%;&vyo@MtBxc>{~o2#Y4ZL)%-E)a(2TH*t%xXZGnd>
z=eD+}XJ)wV90YirFuZiVFH3Jsy|^>2I_-TX>{GVl=jv5bbJjMhTneA8u;|1lV5Dtb
zGp$YOx@2dic1$PBd2^b4Sp^{drmcQSK*-c!V^MOXgKgoJ!f?j{=pu*)202myJ>pFZ
zuNJR@lb%B4?zV4N0RbST4!{6IL0|w9G!`Hd4Q5Cs8cjXKFFRx#fNvhD`*Df{9dkIc
z!Z`_oOd%3Qob=CG<{-z59t%fJUM-ggK!}yu@8xRkj6?f6^k)62+hj^U^Q$nK2vaQx
zJR8#greB_P$YGJtABPHK34!~Q?r>k=C)B2kt~iQiCXGGOMVG9H??Uh25YKb=VN-bH
z>HZD0_r27)UY3FtHLuKPfmvFuD)B|CRUfAJLdBoUEtop~X3^AtGpo##-NRAnas;4q
zuEwJUe^KJW>b+|F!QkBlKiIn-8lB@yT#`Lr-^jUKR=}nA+GbAEZTNA5#c1IyTyY8!
zOwA<(++zMGh&F80w;u6#OOgzwC!5xINfK*u)tVBU=XmKQrGh=VP7&i7Nls@eimdyM
z5c;rsV{Sc`kBC|C@yp4?Z^RoM(0Wpn2E2Dfs=8(WDW5+d1{dT<%Aha*!o$CqK<u3C
z{{atMw(EbVxszHB=L%tb@vDy>i_E5imh~bP+^L)nUU@7ovL3J|#h(vO$ab83!y+WD
z;(=dwQQqHgK78CDtGK`}+kWFO5}O=+3mN%QL5o>K-p33Le$rZ)60<ZtCMz=TkHp`X
z*{jab@s-CaOjy#LjYE0dJeH7!8CPRgDKMRp{l;0`vjq{sD{Ht~YAz6RhfPL%tc_Jv
zzcq4(qjz9Q{`AFZU~3%0po&UjE@QJQcB3S<&Pn@63YfD=srTMBqh(w%f99re&V+CR
zO*@M>28e4VFYvVMEgsWuz~&2kICHUAopNc6QB<V4R<B=R8!Q7WCz}LOSM*0Ft}C=O
z7s<TCK@GDz4ZVAs&}>mrFYq=DnW`iiODM1TQRzEv6P2dWbaRd~eI?NN$l9E|$y}u8
zX3r^<w@5-Qtm${HvPvjV%@|sM`%!qyo)zjay%L&LZ{fo2l)Nre=wcl%Wsy2QP@mB{
zTz!02(hQJqveRO<Tq(~{Z#;V?9_-s^R1t8bJ;SNuIGyEz3NWW58`q3E$>!ilEOA;A
z9xVhxEE0}I9D^nM65eY|(`G>$r;b_3BjJu=+v$2;{>feEi$NKEz^5p2AxlLCK+$Xp
z3!bzfb6c~#DQ5{2TJG!Cl^SCAZ?_sb$zBaaRD7+|2hjruZqddG9zrUz52k_Dgol~?
zprU-z>(ln`?0S5ItdwLp%>e)&2M48;T+{5u9uS9Dgu3>ZsC0FIZNY;{9%S#ukM3w3
z@qSrz&He9}@20m$V$n~BmYfS*<gbLSS0b5MeFYNia|&){@q}7Hs^1J$6f_o9p8l8o
zk7V$*ncmdE&!q6H=pNk9-o8_w?0!v>j=D~3sucx4_XMb;@+LTHA(7RcCMNlYR(?p5
zifc7NjmuoRg>ThF9)|e@I9MdiFGQYeZ9nHfBbb81bB@2J_xBo#i{;>hO+U;)GhW3H
zU<S%_Ro9<^`EVB~l3~PH#ng<blpr0*N#Rc_o$5BfaJ$g8dX#zi4)(a=W#wVjmlH5F
zh#f{tOkuNzqxr)EbrAju8$0vA6d(5gp!jIW*lsYubf2g};6jn~?I$FNOANB*!7dwe
zqv)Jxci_&`;4&Q+IxhVB`7-WI!EGJgH|!~Dr<j2u<%=NvHGn`V14Q-v{`VE5UZ@!^
z!Z-9Df9nn+r%OSHX@;`_@f1JqBaJ{_9a{qhs3j(1A;t`Mxi&Q}<zN5=QM4opvi-u_
zdf52$b#wmM@Vi*UdaV`bN)>eXvBV}PmkD(iIi1EI_5lN9Ku|4I4Kv|SC2i-O$9Ix)
zPo~qau->MD)kFqVB!c&_c;fM^T09%_Xc@CT`J(wHRQ5W$2akO!$1CsNySLLK-$lA^
znaqpo$ngdEni25m8TN4==R7)T>qWW?wsbnxYS3})S2&P~kEM-cHf707PRITO?M5;h
z+ba=;o$c7k;ZR+MqpgAENmhd6LCOU##l!89tbKi!%x<Z-V7G^kfg}C&tX$*%_HSOy
zS`QU)^p#-Gr`*V$?=BX8C#Kx(n1m%KmI=@UlLTqg!X>Bnwv8r6Xx(JNc;FdpebCwL
zP51GH?(^&&%DKppZaxp+4g^4459tsdIQe6SCA*RUoe-r$Jg!*w&GolChHoASmnNZf
z-#zOFW==8yiXx;rFljL8DgjVjCLD%BR=~tVnN%0Xu$d5hf<h;E5)9JZ1i(@tOcJON
z61%>2Kybqb649zXd}F#^9ql0E<l+RF4ztm`;rnajIAVQ*yejH&i$72jTZZ?n<;6>f
zot?QeVq=3n8P`6n#cUOnHy*6T-mF_{3)YoqZtZPrFD2ZnGHc^iE{DeO_`hW|1);{C
zw^D)5(&{o^H8a3CubGph%Z~v$&9DxOXXuy`s33=z6(ZGoukv&==P&#zz#b32g1+Y=
zy_@joUQBMAV^0gWPN|X?0W%w}ly-#z#Z*I-)H7z4>VX?6L!vt+tKtL;+pN4fM<JcU
zsiSc?Z_a(MsQN*E38*Gl*ES#J=0I_2rsow_`+r4!uTNM&+X~?6LE>hQTSgv;4UYPu
zdXp0W#tXE@zW+jT{RYwu488mps@VTY6({3=K$V)cEixm__qHCQKUp(U_mI6VB0+sW
zS=?Vgk`EBS;~GrFd!sqC$v1YPY3z!v0#DN*?CIC^3D+31-skEursR;D1x?SE8?4bu
zT|eem|7rVM)TG78_`yI!MU{#B9Dq<iCc|%L=m5$ZrefBMSS($71yget;NMJRwA2nR
z+pp@-<HsYNz7yRxMlS-`#}F~IRi4v0#woxHXv}~8$ej9_snS|aYf@#$UUnQlTkor$
z(!f?grqV^3z{D>J`=*y*YCg`d_?HvG4<?@B(ns)5Ll2Eg>d525{wB3a@NNV7M{<#P
zc+ZD^V;-$gQy<<bTLL$S^&8%|C79?e_6JM@v<xdV78QVUu4=Yf{|uf3%TQwzlraSq
z!AG>|B;(e&uNo4rgcSf@kFB$wjo1%y5XA31-ezV&)vSkP)x0<bHjJmyY@M<3h_(nc
zQL#1qM!3m4pO?CYXnpyTqjo`iY?!1zzy7v(0NkgD2@)wk3U01*4+iqwnAnB(YDxXR
zEwI7%aBO=M#_?&<nY<x$;yGb#3)mO^7L-J=XkV36vC=>j6^WE>^Z+kFw$}oF%v|{4
zhibw?S~NsYPG41D_{Y9xU7UbJeGLV=XK}>#ZpS2}E!*b(%wFk+CHQmtR>26m{TKij
zvoY2jLDh_@w*fI;JL-w}SS(8r&R{C8M53U9<b9zUqa#UUB#=Ud2*s%UW1F)tT9QE(
z=Q=M%v_cZ;c6H0W1&sWZG)_8TOH@Ca=(7?4gh|&z3q}h<mfFv_*n4|ukwhi{q<Z+_
zy)}zmZSCiX&#GscjvvcI>lYV6AVst3F-t)r98$aRA5B3A_+n_%s!2$6KAw8btDBZv
z(cn_*4q<ls_2!iw4#Xhb?ZZL$T1N-_rq(NzII1R(Z>ALY<@jwmm!rCfhQ=@jt#@q|
zOQ^*=!d&0ntf>L14|ZRz50YeTHO_&iS7!Hjz?0_a^&qE0c3afP>}nyCJ<xnTcOt!-
z6NycJ?kf$VyQz<0iywS*^ggOoNnLPPlp*zsy<{no`d|)Zz(naUA)1JCmNEqifHaQe
z2^A6hMxmAZ>D^rde`Ulp1fpg{u4d=~3!PF51upjxx+@)hH=w>m_Oj?O0>Kmy+{|^*
ziuzl^X6Ol1Zx>Fir-%zNERUjmF|7Aqb8}DY<!gV6RGR=<>o$``g12kttnH;kAWKsp
zAe+~8lYbJ<!T3+YIT#uLlP2}AXZhcegP~BtJl1s2jYTF)hyN<DA*tv3v%Dl1;~d(0
zz#m_Jz4_xB1yD#OL@aL!ub3HpvlBCN9z;b(Je|^BwUnV|*TwxPJcf>yop_Ebb+0MX
z%1O}#c3J{@4q#JjLqJS%=_D{VjAkA^sC0<JbVZ(cf>joy!R1!bnnie9<OETSUgZJ3
zY&w!k=>#5et&h-k2C<kz)3Z2EaT@TFYH<!;ar)KR?tT*N7T;n$_I;YOpE1<j&FM2R
zZ03bN!f7rFq)HRSugushIG__x@?4KId)Io7s}iy9rY%5|B)u$ee%`0)k1c?3C8|r+
zvS&9SRgKUJ?SMJSeTT8+7BKt3yOrv2%TL$9v8{{go@9k*QqeW^4&CR}%m>SSV@JYl
zyRa6w%{!VHoTy|fQ%HeuRi2^_8ey*Cih`^Y4RLeRCKu{smLbwz#4UH@-#nUy6luV9
z##3qN>QjMZZf=}8z1IP3DdTZmy75C>phcX>9L|>R@z&7G3O9>VB*+9=EEO(O2~gu{
z^q7sx{$W^2l{y(c$5Hm<cL22moLX-6`5@*-7Ufk%l`WA_RZJ2ISXI$jR;;+egWy}y
z?wS_2$q!jOdS=lwCxx;{Ta~x>YJ~7t-lg?EcH&ZJpOouDHp!?>H(Bs5SQoZHcy|Um
za=GAK+ib0bT^m8|Re8{3P|R8Di4D5^F`L7oE*9sYzw%w{H+nlfUJzEjrfZJBw%4Y{
z1atBp_}BEeV*+t<>3?Y#5*?qb42=|CoE_3(n;Zo9OxWAsIGeJ!ep$HO#c8>t8L_9(
z4|c$6BK$F9ZV1c}Hd_OF@&pW7vf<26B0(!kz5U8B(vkHn6y{ngGMXj099X@`%R`kx
zB2|;rn%Dd#!A<cdB-}KVkn(DN5atOVy+@YT>=Mnq31-HSu}T^eLh7Dpu?W>YE0joA
z;>3Yjj{~Zfy+<@l!~y0H4<$*vTNIO}Om9b&xfLV&b@qj(+FJK+tgi9{Qt1I*sipq4
zqyO~A=hRx)k<LFDsdw}dis8#o<O&&Jg6j|I&4fM%wmrK?Z*f82M{xcxEh`7>zo5s?
z_8*{kVY|S9@Uz`JfF)!}n(+3?22|AC$3jvvA1oILuahdMfUlK7c-4Dy@01}^oSqS$
z-=gT%LjO|d-5VMEt}QM^J##vu$?h2w!=1DX((m%Y?o~-s&Zji}u1`Fj373bO1i(1V
z-Up$yOPxPvye%;diq5wJrFF}>Kms+Uaw0{n)Z%LUlJ%A6_^M!GIEParZYM(X8Umyc
z@_|AgAmy;_eOGg0L1&Tr)^H+0)=BS)2Q1mC+8KY-Pp*vs-`A?xfu1<FP^e(X^fxb1
zfOskgwZ6@jDPY8bNwks)&`f2(0U0UmlR%ITL}`fY15p73wW$Ln&GN>Di)5#eha1l*
zfJcg2WQ(7j&!MocqmJ$?WuiK$f+r%k2`jgP=op;EWoYM4@Bivo_+7FrD{Res(0Nf;
zfByK#aV)WvR$CAM7oS7U`}6Q`8ho0;nz}Kjj3`_0Q3?LGv?zEi>RIibmpr~Sit_4Z
zXBM45)mJD~uOWc-UD0~1EB(lg$&xw(TnAOK9VVWOEw(pe6$jR}%E2~*k@aoO22ZCG
z{l*MAQ@XZ7nJ;@Zc(KzqvL9z)I-gMF_O<7S`vrD)fQZ;2xs$bpM>lqObPnzdBFiyd
zOH)@IQ1tBm<{gnL%;V;6;<@_}cY9E%jKN)%3}RpLg9hR007bG0O(YtkWH=H&6c(BD
z;i@FnRtby<nbzT(^FpFhlI7S(T}93Mq}HU4?!y8SS`|>5<~BbGToq&B0;%PZP)2wR
zU`@<^8b@u(QW^=72`#%(C{y=o$~Go$@rWx?`6xJ3n^X!~RG@^CseK$T80b|)3|0XZ
zOAOju(<cX~HnEkS+FJ+bcxo?g9mLw%H0Wv{H%mV-YIg;+uC9)$Q4ZGDq>tq#vjpRe
zs=@KnbC!KjFm+({5_5v%=~W?^r9(&E!ShlIk>grjgnv_lQq+msQ6Mh~Ytxo-n6dP`
zI)J=%Gk2^zj_Z-Sk$mo${WG@|SeO(Al<DC+r*?C%7#F?gcZAJaFaN$@MR~e!3BxPW
zJgoyOaFWJ;v@7m;ghgMDBJtIYeeQV16Q@l(Y|ouHjpS50)q4_P7`cP5C-)A?&Rt^P
znj0}wN3Eq)6uhaCLX~d5ukk8!$c4*h=HVmhvG|VZBC}5E2wFb?3$hHb|57$N|Ak#f
zrvHH59k~q#1fLr{1OLBa0a$MKL+szWS>fLTzL<PzvGI%Y>W}hz0vgHpN4C*^+gce`
zldSaP5NGbp^U1@O88=TnB@<rqTWoR#{YNS7beaF0>jPf6O3ILlfrc7eLze|${w_=!
zV>n<x0V*Vw{@_K*LMf9>kt$3)Ii+|?>}uOnJ7SVds%utrjBJu=N(a<X17l+x2Aniz
zx}D`H-P+3Ycjq7+l+{Z|<LBiowisXMD<>9R_jC1+G<_K$T(4QKIV7&%AEJ=!dev$;
z4<ASFQL)q>Cj7&R%KkrUA&orvGGG&xYfg8gZNXdjK75+~4ea>Wyvu?T(;J1L2Ivve
z=!;4K<?o@mdBM%@19yJLi{cIl!RXn+OYv6FYci4rr0%fOjW1u9M(mS`SlRDj84H$I
zCWl$6nsHE)8W81yR#tJz6{2%~OrubjTnybdF6%Qu80CyGkejPJ{dW1%py-V1g=oc5
zVAcRB=lX>(D;I`-eObO|PZiCE>c|3=wSId%Fw=lk{Nqs4mISN%R8+C~R6Gk|plq#+
zik(!FYMMv17m^K5JqU3SAUBaiS5Hp_y*pS;83m)88z$+cS`K}~ewJ_)f%)8N(z><q
zTez@S=BKu^2-oHm#`(8B7}KH$sZ)X?cqtN!%0h7+C^Uh_GB|HV31ol#pnqE!qo^xR
zoV0zo4z6uYY<ttzuX~p}i6|h&**1Kz`W(d+hXoPM1DH5l(u!gcC#!6-<Vo_wh#G_F
zCo#^Kh2_vtHrK<d*Mb21VvtUf6weA_ebGSvjY2c%Too?qpnXQ*@Z2VKFeRss0WV|R
z(E;Za<lF&ag_7Nnqw3lCa+NaKASJovEkaeC%1X)((YkA!4B#xrH@o);KhGr_icT8C
zb7q?LH(&f>JGFjkdiJbrYHUhm%IbVdmXYeps2vK{H?e0A9|WQ*7X#$YyLGClu)c2x
z_X^oYa~hgWJ@^h{*JjKR;#x`a9Glo`D5>gt&ez!X#Jolyl)T?;Ct70PNO+xlI#BaJ
zkMn1XkrS1W_gfS7)x`*V@bYp%2@h_4#5MZ>KIwSj{*yh<f3tcx82<m+`)l?5%^Ch$
zJyj9^oip&8@*@y5BUbOqCog9C1!k6%QOIbH@ILOiURHO<P!fiS3LHg#xiD?Jb6>dQ
zaU)0s!&r_yZj8_3kBIT=KLQs%9IFY-a;x&A<;WOO&t&3}qxEq#vNdQk)CdP<G>)mz
zw^ElAS+M*H61N|lr|dlSwh}Q}IKutY-Tlittxzi1^bXXKr=c&sg{fh>?lsH%y4Q^x
zqoB{n#g+HzG@Ab^OU4CE?*LxdW7Pc+VGvXk=&^LdiUB1<JJqRp*BA>v1P9?A0q`2>
zuisBi!86I5Rc@fR%R?b3_DXKx7<=$#|LLPVq_9l!13ct3>=p$eugR&dWC*COyeh6^
z7%iHz3eW*nIEc#Rkvus@!G|@1ifJ*sIM9JV<|mJF3dV%vj*1cu`v*n&dtJSqj#>El
zabZlNna^Lvl!N{b3KJp`IFt&QAepwFsbrwcjn)XtfvI}j+EI>JhEF&hKl?dHhS(jg
zogtoi`NYuO(>b}wRm(_}uxD16-lj42%4jsJZFz_Y!gD61J`54c!SkXl)dMdgWvI0+
z9~=3%mASiPY{J^*(tD?GJRUwursK0W*O+RPm5(ajO}wNo^V!*yb%N~7*DjYt<Am`s
zc%n##teJ#Mdm8=9)a;lgdF4-Ul`Psr<b?b3*tuhZ3UPUdI5*GQ7I^g-YEhF_4Z8Bv
zsWydBg;zedb92w=gW{3u@<j3?u%<HEQtF)k1*<8In${$r1UT$m#iwo~{Lvyy0(tXZ
z%W??&%K$PT#+7Zf<pFPA{LBtj_<nX#J_)QAMcB&V@`EF}d6{;O=*5?+jDd?s5gB(i
zaMS#NW=qY2EM#sVQU@)2+UpC}<YDe9!xO%18k|rlrPV1zvRBt2OTn^1h8_=>rb`-=
zQ^KwjK{ywS0~?DQmPj*?b+X$zTw}<u7YHF$mtyTF7E!ys_6qNtt?oA0j`cIk(#q@_
zzV;fvuhP%^-stXM3cm3OyF~r8*pi4E54VE36DgLrbk|$J*Ul2Z{)Mf7$t*Zo|C4cW
zBj)c0n)i)blz@1(aKH$24m1#nOFIO~tl|Ljt^7Jlgv&-Tt@!Pen}c=Z#ugaFeuK9-
zPs|7(bA2p%u(}0OoxM)a4%YF?-T@wj55a5CPt+<lJzH(MiPGBmy^<Ug6oMiLI(PU0
z!SJa>l$?iPZE{R9>wu6IO{c_A(@Ozr!k5}gaIp#-j6`rHd%KC!SPHnr%`&l3u-UG;
zFcYfoFkBIX>`)(kLb%%&KK=2+nisEICeIZJeW)8SNaV~#=9N)d9ga~$aebB+Tardp
zSls(XZK*}*#i-#Xu5!McMnj_=t)G9G{IG7vXRvNBdsr3GsgX42DmE}1z^SL!Zw%Ko
z3U?v}UPc}-AKx?{P8{I`JuQ60Cai41Wd6f!^2qJeNFE$qve;0GBf$jw1c4O1QH$SQ
z>-YN8Zf<Yqr)61yWdelYw8NU7ick?-H+gnaMAX;XVxr<Du+|JHNQKK$l1F*gF@<$U
z!tn_Td}-Z)<?|+7_@$MCMKn+73!mQ(ycu$$6JwWJT$C&$kxD7XxiT9ii?wF6p<^0I
z$r%r0qh#Th$Ev$iZx`xLdK1|+l0`<5?qCd^%|6y^rY!1R`IQzYvWx3KJ=O(bxB6_^
zctsa;4}mpW{hwR#jHUIm#+!)GW69Xd@^Fos&e*n<5(=EbJW?z8Xo)I(VLrDjYt$Ab
z+D4G26FUpFKSkeQ^^P03`*u!VULOTy%H&QhIj;B%cOG?XgBLtJBSWMy)SB=S0vCHd
z>jh7F8YMTWXO^s5lhDv5Z&`b;oHNr5nH06zF|}72yS%M2PD2wy$X%r(h4>B^q?xR;
zRGIv05|oByrc<0akW_1C4iMu7rP%1Kr=M{MtlYd5TF>U?2oC80P?Y-zL5&r71Z|cC
z&6RMN;}{hgyc&AAe0}Q^Gjs|EuYQuMcqAE)282t%w<RH<ikVOmjmgqQ+Mp8@zHk0z
zkWvMMuo}7Gk&rcbenlRw2$igqr4`u=qH5e?>mP8`ZZ~jB$_&0%CY=rMUJgu}KHUX%
zzCi<%dO`+HA_i(G&yFa^<NPx7XFp<kq`sj^qZP#pf}IVm@m$;q(qj$ZFv0X+hLhnp
zUDYFm2Teiz^yEEJ=z8BbS$2QZM_FyJc^WQ2@ya=bc1>WMT$uF&N04n`cnDns>>k<;
z*{d2T3F%J&Q{tkf5avQud(-4b(CeyBuA;eVN=ojZ(u-x{%}+~HeMU)gqTtV%$li!z
zn{+q$#BJAwPt25m$^aw7zigtibN&abY#IvxHJkd})YgT>X@(oSw#?Kc5>yAv+%iNX
z{nsX{Old(iuEh(34{vIb%sfMjsbUH0(NI18N#~8#j%zt|&pb)q;xM|_U=?nTlfW%>
z|IC)z>okXgjnY&_UCMDS++QJ}sCuH6^w)ehmXE6C3fHE-s_cUxx@Dz86f<0Z(}o_u
z-eb+jEF-{7kkm9|nyQFn{V+JWT?H9nw6hTAK!x*$rifDEyN$FX>Tw>4d~;&cd-4g&
z#p<7+>jCcHHywhvnv{VRAmACxlpxdcL%;FBBgze-!%xf+OX#5Y%n|mhfrf$vmNO-~
zm!>i$qnC>f*&Fe9WrL6lA;dng>%@C4t5yslP%``(Mxbgo8T*`=PpvgGOOK)jv@C3f
zWJ_s+g}J}Qlg3QzrO8i{9rtsPR+Y%v*lkJcyN|0nUS55&sD{!=jIE%>T{<T-@%soI
zj#E`EZm6o<xF~D6NMfOK*NiWQObB@%uC&I_KFoI+qgt1?)lydH=fKBbZ0V(*Q%1kw
z^1%{vSJ?@b)W=Q?>HCsyB%)EhQt0gQ#3_$$?cQ8sCL0CW*LQM%d*_>W=g*Y=n6q?R
zmt#NuG-J_y8W)_NVJF-+*asX`z?mAEV?w4WS#xa1nj$ZBWBS0AVUobn`7`IhsWrKR
zl^Xdw$2s=SDRF{=z1;y_f*W0)UDH8*o@BYuxfp}#N-2(kYPQ6Kq2IcL>8d1{u$<C;
zr}*m+r7P}I4O7-_-hG3gWKAS2puqIo{CXaSxKfuO5KRU0T31ifAy~uxEkjkoY#nwm
zU1)OWW=L@}ZJgg?v4fe8!nu>KKscKuOeD*4wJ#(JwUoCvI!z!bl2b|qpr+2E3=^mD
zu%f`9ynd9L!O<fW-ED21=>3h9L@imLoGhzz2d3t%O^173$NPn^TN_UI8G0m+C)6@p
zO#$n3rarF7WI&y1V*sy75g>9rt;FI(;+AfHbV#u)nE@kPBvCoLWc~HZpr3G}v-}y=
zM!DSTsZWi%@0Y_{^^`ZMfCo~|J<9uj12ov>?)onTmv4Y^G27#R!|h*k77q6RpzNw?
z*>13*_`K8-Xu`z#MeKbc=>sP?(YAyVIWP5CdCKFgD;Y@Tkg)$f7l9YqvLf+^rJ)zm
z{Szy85{FNJLM*|6jub!Es(Ga{==$v=its5QkB9GH-C+K1%?lq*?*7eQ*cU($5!D~U
zL_#r=qTaMR*`;IW->w>F5g86-14nCyFIV7jc}usjw#Ho?A1q%Y-yxi0_=`d@#K?$M
z(soX7?qX+Om<f~hMGJklHs8&;aa4Ecr^pxRB1qAy7>BrOiOInknOxf67B)W$32Eve
zNb*&LA->m%EdYE}Q#_m`ehJx1>(Ud{9FTv$`sLM*QSPTrvZi+a<)P`fpT1-p+z+6m
zC{Rj}69r+K#`p-7l1rJqM5umE&{;i#M_&X&qnH%0=*7ax#RXr4y(PG&G_SZ6Brg-8
zN0A6dJTU4nx7eeg8l-t1RxN`JI12^SRglO~bNgaZ&Gj@$G1hq^=~xt2TnZ{f-s;4L
zJ2$zh=32??URBVUU&L<j8U_s1i$NOYu9-5bTm0C}r~9_6u}3xTjvn}%$Z8e1AiKNn
z`c@wp4^MByj4D7os4$Uy2LX68ReH0)PaWgS7Z0WL57s@}x*cR6c58IAQ);c|&xbW_
zXQ8hGRJ`%}JqBv+hI{Aw6sh@DnN@956&s(Oov<n6)l_OL?ix;b7Y@)0axC9O<Maie
z3z7E)G%4<LU19e#B;!evYm!p>8^5E`)3zOyw__ZTNCYXVMwQW43k$x=fSfcY|D@T*
zjY$g)l9O4dx+QIN9};IdPu&0PoPU_XX<wlh+@>K!ymj){p?w$6)#r5XDO;vL#ugH0
zq>l~u(G!ehM9^`_w&~BQXmG~5B@Ks&(QWMB4wfPlM}2&SdVdHE%kE%;{f6b7Z+3xG
zkQ71BS2r87Os)2skQB2M1#6`4IZ~mqP)5TBx17aFH9-ZyDUs1-e;e>LzR<U#J~Hk6
zeQ$_rei<DBd1XHX99r)b=y?*Ve7zfHvkttr;pOTBPLkzul<<MQr!<p)mFt+6TVuP!
zgg%$Li7Eo~xgGRARAW=YGq?ryDweOegcjuWT>Xj7jLbUK!pG0u+1WYx0MddK-l76o
z9Pudvn!0p;+3zf@>^LbPfjkTnl8sTO*nINk$@KwP94nswFWfTzvt4E+VB}<E``?39
zCIUt#Cg#7U-v8XE{+(R^_mhB;nT6?pmVy4?_h8X4pz>K8^Pn&XHvOzHXq(vxn_F8U
z27dipTZH|j;&u?%*Jyu#*JuG`2z(CH?d&H#KYCBztSZbi=ek>+o;OP$<@x#Y3T9}m
zjqIROYa8thjg57X0Dn-2oK`sjtgNzVtgLV-SXi(S(6MiQFDY0w^~ue`y0iOwG4^Hk
z^Clu?fKKm)l$%<CN88r{RyhGLd4MjvfUK+l;Mmx{e-N&+K>&~h*uyXd;z0?_Y{6Yb
z^ATHJZ=C|v)jPVX9&*J1aKrHWre|g*9@RJm7SS$200FN6A_UN->aHdt2=ZVBw(vjz
zJKetJptuC3(9yvGRaISGUD5KYnIpRsgAsU<`*8OSA?1O&1G6{#O#OCffs_1Nc6~LC
z1oHvS)rGQtT*@{wJKKP>`~1)YVL?Dz9DN||o0);R0d-Zu%O<D*l5qQ6d=pW>$ru2?
z*Kh#1p+9^VzL3AT5&vA*>Jva1+g<=PJp`?408A3H>H9S#0YyfJLL&p1n>}YjG}*WK
zhJ$wi60!*_pbzL30|P1+Q~>Nsh5kIAz&HeOv~e_Y{Ic?S8GYxTnqZS!PY>VNSP!_;
z&QkDMAqTVv3e<hxN_@&4Y;I|EZGHHLX9`_SPyewQoLur(S%BL=g-S_&4Sg^adNXPS
z=mcn6TU~W?e+ASR16Tz%9((r$gp~uo)subRIZnm%>c+jq1vsX+_VXq@-c7|vu{F!X
z#@O9IgnEAZZawftgyQDzg8^~?ObehTaG~&R=uPWC_B}{_a1C$+cwEyx9D&pS_<FlZ
z+>0ETyu7mF`I-IUGE~*TrPWZN9ro4yu2qtr+y>sAnw)~vKi)M3uWNL?2X<>;1L*n5
z6a$5LD}`&}uWxWUeg^pNo$y{O{Ykofjs-jY#{4U@KgWs<z6x|00xx2xU{;$}d8zcz
zKQj(L)Q3O0<GyBZzNqg%)#Bqz!^iaeTRTBN`24eIh6iu(2O{k?bo5Gj=08l(E<dRi
zu-~3eLzmW*-?ehfps!5O1ukf8KU<<<jVOPBtxACG0X4p9Q+uy6dcmi_48c|FT|+*5
zGyx_rt*m}VUYK+UE>bTB-$W99+xzGTA9|%E*ZnW2eB>~}+2H|B4?!M<4LswKz}eaR
zGQUi4ruy)F%Q5=K4b5)uk$~JRrqT6nZi4PVgx%c$stkK&e2H}dDqr#cfa@o}((fO6
z#joN&4k&*H>ZVElh<I56s3!A=0ryorgLfM%{Lt_FjsblJz5-U|{S@qU_FF#FkHYDL
z{y_H>vHk$-WgYwOMy_g15!(2kZuYJ{*U0`v_~xsBqC40FtJCu0(&*K6@<*X#AL`u}
zi)H%ury5%SG=EFg|3rN0#D3*o(r>1=_VsSkA8~v__bl$e(vO1bf2kE;(mQkfoE@?Q
zb$(UKU!!+COjzHM?;c6(e7EUI+SfY){rqOuwRE;`{ZZ?iU~Kz_?r}PQ26yN}xp+eV
z#6R-a&d$=k-s!y#LD%>O|8ZUm?8nnb7@zOrJ+%%~u@?XEZl(z5e%OBP#LVEmQuZ*t
zAuWYl!N&+2dsN8{V9T-*NeuO<S9K*hvk^`i%k7fWJVzYVLRQ)EdFR0zsg${D&Zm*x
zhnGgl3R`|kBur%b9d`M_!})FwsyWyq;5s&U$kB0cP<FVt`PbojF1w)D!Gz7+QQE5A
zj~DZ%$u^By{?tcMXOT+$oxv$49=<yu9rDM|`^=xy)A6qw@ZL$&q0fZvdtyy#oL0Av
zAwDpiG^^J1?`_Hm%M^);gLww>ay<=eT{4Ko==XQNI#y|~e#{&ji$2H*;id_Q)nG-`
zkoM2VhgTyG5FZHKDNbgW*Qv*yvqi7Y#z%X&kQ2Jd;@ZwVB6r&JMKoHT^dtAId_=6t
z$@UKbFVmS(;p|y>L$cNWvN;Vx<bofBS3+|`3%>_@fBP!2xIoVN64^)Rly=m4^z8D-
zJ2lH@=z7`lA}1@lifeeRWp$bfVj;^H4=wW>yi7q^vqhAiZfF7rr>f7b4$hO1EGX4K
ztQP&vcG%Iykn@q$AS=*6Fd-W70Z(MkkO>`w<yk`*X<GcgTb|}b4cLyy-G=y<tDuZ?
z?!NRcLH?C)Sh6}$coZ=!_)OT`r7|R-FDPk@M{DocHsm~)4VB*K_N6@L1acm)k({Ox
zFq33;cIaLf74I2DWNNYok|rs%AHdrfrNqtH%bj52bnlsp1I;%hbVQS`UjY`sKTBy6
zC?AGQh^x@9IIGrGh0=7TUjdU(##@=AHPMw1Hmp3QcdatB<06lDQGVd^LDmY}(v+<J
z2l}k31ePx8`9;E!%OjIh&!BH60!nWU!-(@Gi6W$&Wh=SBW!NpF(i6>g$~E1l2kU})
z&z00M46{vT4KJ!v)xkNVRL$+gQUi$@orRZzu_tL`y^!f+yKFSIt~?#5r_&S7B(>db
zQ!3HG>hG1zoBz&LjC4M?VBJbi1;FGcf+05N@aHmy)I18_Xkjx7|4#I+5hbIJ2SQ6;
zjy}qaAy@0?xRnR)BTV7S0rgpoHk<jojW7Au{T~YdV5&_*c|4XL3=avq+Nx#kUF6SC
z-I!-bsgMjpk3sTp`dbeVOyd?l0-%q$+l;opd;$&N4F=LO2L8^bqJwVcrVSh-HsAts
zN6;o1^0p!Ow!>$EBl;O1@rmC?W{jAqTWPa(w)wwKLo8BX#(?>s(^fzV`5Vvzn)tz_
zihR6@sEz~S@V@ie1kC(2aOSyU62V_gEIO#a;@9_($m0zY60DxMeYe0_`?z(xsdp0O
zD(yp}$aQz+g=mGpnhcB$K{mjSWkaH~uVrdx+7_iGG?6?eRVaCrEgIJ+?kVA5Rm@M^
zr=r_^uxea`Qy<33oiE+)j!@wJi+uW`*t@hr`@wJVV^m8!-x1Tdo0(#gEF}>Ao;g1_
zE5*Wk?loQtHFK~Aa|u_Q_He`235To!7GAIdGHjANdJAS;AhnOt&Po+xO)?>+g#_Fl
zEL7$8`B6DtWJKGusZb4jp%0O-mr-H9SF28O9yUHf$NP2VSp?~}qyFSGoUo%Qa@O37
zBv4VbS0e=IZORQv*hq_P{@RzcB0qQl8Z;+j97oLQ=SR@!B@#kLF-*9tWTC<iT1Kh3
z_YCg77K0y=izCXOiu#Q+z`=+ea~prq!#mA}+wjAXGX{60oT%;Ku|;2`=EB!O$Aic`
z+*(}#ZtaN?DqsSgBHx}PNguOoK^iXSvHNrRJgwNUp&n|}$4n=E#)ldoliPOc*B9lf
z%V4V$T8YvVjU7t#j3gt*1DvmU-@Iuptzm|o(!XDoFH1*f@O%8?eLQM}6g%X2O#ul|
zXCBOyP%)Hnd*jeFcsch;5B;g3C*ottySd%HjWTw?hFQvp9s^k)_7ku!Pk-PmV!r+y
zJ3BI;YuYV*bf)|W_EcImx+R@IzQ)RYQ}iUbz)cDc`08x5ty%9G)?2fNZ%yz2Fm{eT
zx^O|8ZQHhO+wMMX+qP}vv~AnAZQHhW?&dtnB$GFp`7mGhAJ{voO4YU2egPu@_S(Ol
zi(a*Iwg;#*5M;t&@N2XJ_==lC;+#Tb2m^V=1=Z!^wHH_<eRug=L%y~Z7|@k+$UOcm
zGX!Kp%14$sNGXO0m>1qwuIn}7?D4a2&XCshnIfcf%3okYGP0}RMv%gppR^4a7c|m+
z`HL3Sni*4Xd_}kQavuooGZ$AvMUlJc=gg+6vfjttv>eM_?!hEqpf&Nbl9OuSzj_xg
zxc(8o;;oWth~x|5knJ`#O@+;QL~7QRT+&cgX?py6_`3HtZ%ijoJEV4My*KHH@}kO3
zJ*nlr8Q~fBpR-L=htgDLXhHkP<2NDn<9A6?$&ucHZ>4*GQ;u64z%a|nQH{HxL_Bn?
zXGfNw>9HdcBo9Wx84xq>lI%Z5akQK~zN3$ZM)7UezdXxkj;;hD*Y5~on?*W3rt5lm
zT+#IpeC!I&C21h(qEgzuD=Y{YkEhw%|A#J`L9C@70(_DLaxZKT_hhx<M7FAqKx6>P
zbUzXGV5%4pIQGyR8!Bb<*a4bd0Nqw$XEVG5*4Xo+D*YGj3}GWBZWV9Yfm$8QGeQ?V
zWqW)-^CKRRD~MA+Nh}xzISB*n96%c?xhnMR%uprx?54&ft)vS_bz5>Wn{=Ne9LC?z
zYuUX8uXFsY3eof4*A-3sFzLiv7_d7{f-E63mD$~rPp6P88=4&unX`sqc=S>)r;w@d
zayOkqWVxNA<P#@Lce5(w0EY#>N|ff5GX}W~Cg3fDMYYzie4eh=qZ(_UKkdrWpT@xA
z&315xpis7@<vhHMxSCs0KF&LkzOTl}MpFCUY$IK*NVW!;9C@e6$BYy(l=!|r)@G?n
zgstXqKPWmEOAlDb93m;XKh>SBdfI#Wb3axf(n`KH8@hE9H8?))jg9bUawGxCoT)5Q
zCU~gXszw1op9;!Hu8{7_77o%GJvR}aPCa&R+sm}@l6&uRfXxpdG*r~n$pU$%ZFcZR
z5h!ofrq5az-AVAZb9j>feK>_KS6egs91`9N-=|1>YhF9E3Ae@btBT};@-4cqu#S^r
zuOXqE?cJQMR~KGvUXPLx?BYrC(;JQ#+y~^_xy|)xa`6LcbSqW*`5x^FS9`H4^N<kZ
z0{(n|rrca3K2!lvES7%LJT4v^V2;jFd$DUY!TfL6Nfd$*4EOKpm5hCjjj}E{c^K7q
zlyH>#pNk?ktn%GY$bUWM7S=HBuXnF~YU4UW$O1DgY;1mRRVbv|Q6RBs#xYD(%S;2=
zHx(*Tk4EXe#ywZ5A1r%86oTb)x{JweS0zMjsG)JW%bAr+25Z(K$Qr16=^gJbdMf)-
z6<N-yvZSiC_I1Dum=7t*FWk+7=Dls#S;Y!TbiJzcUPc_iE9`P#niQkQ7I0`CmgO2`
zb=|G_=Fj!$@kt7ZpH5-PL{-CT&fpF_V~KNOt}&iv*4OUD=^BgSXsX9n(Lg71N8fDi
zsO81T##`00tR|+$slG8z^+tPp=3rEbE1bf)4RjNi&;gVsqy^QV$);4-<oE*&s`h?*
z<PK*|PH!tcIgRIi3nWmHTKlciMQAA3q-c!W5x-|hr`%U;He;(PMh$Xnnd8s!CDY$2
zUX#2@+2#xkPqvz3{@np6)E_siK7ks!aP1OLQYhqM!i8v0ytqZYeHLn|p@cWY^bDWH
zgb;2DIGDD$LcQ+$XY-XHUWqMC<rLrL_w64{Oh#YV-7+#z$#ybl=V}3leI{3gda5ag
zC6gW-E^DS0ru#GNv!c!_#)78t1?tA>V5`NI9m!H0516~MinOg^bg*aq=z@}p+Lr_E
zmt4aF)I7+H1b@_5^Udd|`IHHib67G^S<DrMY@#K`6ySynn4w*aJ?=dp%6yLtNiMx1
zlzrp9F&jnMBcGq4-Ke}KS`!X>t@K%Kj>26vc4^RsBu?iFMg~S)Z7kwG)-LrZzcU>1
zt}Tvuf3ODOeDIj%YL1i1_hi!W?vn6D8prV2wS=_why@dp6k|Xv&fzo1Y29PKi;|tk
zRj*GxsEx`AGl0EsZjBbzZf#gTFjFtPm4!Cc-8d63eJ7NPKL=YVSCh3qSY_`g#IZ19
zpC7^v!hz}j5kL8lB`};BV~ZQ!!%Qq{6Y+&LcU|FUHMf)I^5=(<Dbq3~*r@yz?_+n&
zdvvT&@AA~5o9(&NzgO{lv_6+Os$ys_l$`Q~YyJBgd!T=QNA(4>GH|<E7b0xwruS(H
zld#d)f_;apDX)sp3sO`buOz-k@O#CpchW)W|2M@_vyK`Wr2ypxQ%;MEC_LQm;y2=t
zwjp1~oXR(`$O32Nkh9k1%VY*q2AAHRZp_LW3yRX7hr%CkUZ3qEjT@V$L%HBZ_!0|U
zQ$$qC{-w=n3Ng)2pM^ph9|&?D`e@xmC`li2mxJ9n{`^(!4~NCcWnl_mv5sO&ki-nE
z7tK$+z`kE5k?Y^Ouwo$Xgu<_Fh;EKq*B_8ve$m~b%r}uqZ^UnDg<_X*dtyz|@_2iT
zUm~6|((%lPf;g%_<w*l?>Q|h?{P~l&Ge>qGu?@0^$1myqB%?jVz`lyjGe4a2UJqL`
z-V|~>B>_s^jytPj$Ffofl<k6sgXrlO^PyGKtVm1HFJkMoqSd1|6$(abgZsDzt1z>s
zhO=aF@{-Kv9=qkDoS&jq=!o99#7FxT;b?*Q)pyP9o|8(KENc2J0$M3(5fg7|%H#=_
z{)YQQ$1hdbPZ41%D%$OMX;xw>Jd3k+Ck|mfD>TYT`zs3vSJ7it-X0kIWi8xUWE7sb
zj5o2!S--Y$m}_Q6i~t^X+>a=>6dGgL)qK)>pfYou#YG|h#&d$XfnB@Z^kH^=;+|aS
zj4v9-kdhE$igVz!+GgUr{^liCSP%HaQDvc}X=UvA`U=K*mXZZk-42MV`p3D?(tK!N
zG8m@QKZ;-8MH)?`S=Uy6Q`wQ-hImE;c$2gE?;=?LO0>vUVx9Ai)zEJ3rNx+tVv5!z
zs$7m2t3$e7^)2_$oecFVmgfu?o#A*Cx1H5OCB&>>fAz4S_27%c7p#=gS6=SJdQw+T
zQ`dMUX=9uDNq=MstpVY43VmexYnv=NDC;Atquocq;QHDk1?Rx@5#}Zk{=Q}R4Y{@F
z*%e#Jlo<Y#|A=$MzXMJ3NNbQ;78W9}8Qnt3vULA<>%|H7rUuJ-7y`tQ$FnDtx$XId
z8f~zTn^KqWUGvnI+Bp%;>zK|Xx1RS7qg_;}=UiIHSO0eXX5ZJ_`S5dBS2bUONuHi?
zzVUZxqlrA&yV1mEyv3;0lG2JH#ym#5hC)ug6k0>6K1OMDJ=?z?O-3>2H-|bNom|NH
zU#ZaFqLzFiX)YlI#;c=1cj1)NwXSU)MYD$Y;s*luYO6g2c&S<eCfn({T#z_o&vP37
zbVAH@#%NzP=;c*S(r2#RUgX%XS#D6i4xz~lxy0(4`B_n@<7Yk{X;AViAR5;k>>!>a
zGjT0Oh0?OmSeDY0A%%dZ$?58359LO`V9*op43&?RLIT?k#d`NV#bx`Kp5Bn6&${(V
zEfJ{2xqlLUOB`3k>+gTDL9OU!7QVN>j%7U%PFpRe<=I?%hUy9&p7#)G&B9N2Stda!
z2G5aBK(TNO$HqgV=@;bvH97f6t7A3iQV1DpG%oO;{SmCoQNAec`0(r$vsG@$=9DbS
z1|f}p_30^^fh<9<+ViLNq}W%wtQ^q+-emIM*_7x_xo*9r<X4p)iuWPpJwfCU>JHfz
zw=j(};mua#V<+T`%9i*j?+byf^$r@bqXx)A&GXqthI|NuAmrrC>YY^G0<c$vh^e1L
z&kzqwbZuq$V4BU&6CB!-OX_Hy!&xwK(c~ukAHIIo-T3j^n`X=Or@fj}p&p-B{RxEN
z5oyv?8)u<x2J?$bC0k&ENk|%Bey`l95QvLS^QjbzMzsRt>nQi1XN$dl_cq5oOBI+-
z+oo;T9?QEWbuwx9p<{mDDvSz)Lubxn2KrbLX8vBRoS(Uz*u-PzQw(~GehQKgs8#bw
z-s^t$&!=6y#E@#+4T19$ro8jscOdCAqHc#Zt;?K(n@CiX86w-)n+})u=!t4&vb`Ud
z1f{}3Iw6`}g(Py7+43bYU~;=Hf)m`5V6rgcUZW=8u2`|}D!i)|B_86feH~a5(lyzI
z9&0K@^UdJ4tYBUC1NEMI*>@<akfrL$IVs$i^0|I>YSC45_9XxTanm3$H+HF-%I7g>
zx?oCsrOxMr&-hubTc<djVzZ%7E=xGZ%c^EcATeqS@1C2>$>pA5&F@TS=?lu3uu1wx
ztoRq;spW$x&8O>eVb<K|4v3xX3=Di}gNiH#i^9TBL%SP}<6&D|+*K63JW8-gKPM@}
z;1okWJmz!Ttzv?k`c^w~oG&*uFw%FYq1J<UzddXRGFkzs6RmzwLkWUJ-#?V-v~^ZV
zuhg;<lW*BNa}_M<j6s?{XduS(z23ICS-=&nIf7|dU$*l#N-Iy9u;1D4Ia{XI@;NGL
zr0ImO(Qi|Kv<~0`Ua?S4pq1H<w3gyQK73hbUd<k4?9_+3G(aL=Ifr^7m_D?Cp~Nu<
zyA;IjsAVI}RSqHcyFG7;RpzVAF}o3UBFTLK1tsS%jb%<uGuJVE;vk-GFD?rWd!nQS
znMO9tPc4&C7{4ifi6*^5rEjQ|F@+WTZ?nSt(19u`^`hu@OQ;>Q#8)@M@$v2NqxiKc
z%CmZyp7lS#f{oIn%J|3uz5$!Hr__3^gvyY!8WJ78O7kX`uIaASyj$z~d002m*i#90
z6dTP>t-DfQ!~-BcN1S=?@h@dZ78}YT5Y8wmAW<j*xh?y=5(l1;OzE%VBAU2*{8Owl
zm^TkI&8PvDX3rxB0-NrAdgE;HRXzC!SCNueZPk>DQCHbCk%10NcR@Vj`~Nk&4&vAU
zrOTz{z6r#eLz+=n=UNP|&t4NFli}|`Y;06Xu^iwK(RKFCnb;mj_WA5_so&&%eo{DW
zI+cj%j|wYFz3BVz8nEY6`b^FjLVmRe6?B3Z$GtXWb+XEv){^lTTi`I2B4G9PyBgB2
zrn&D|fY0%oQ3Wv6`7lfIKRPU<cizcuQ9@7XoqO8p{1+Ngo?I44tKWpZ^C|bwy0g7~
z9Rvpv%RJ#OSIt}H?(pw$hyYZbn{#*0LGiTm2j-DO0DY&sq{YZ{d#9s0mg@fGBK=(h
zcNO7c0ITo<BEme8`5!X8k)=(VG@cG9(PbIV@^*Zkoy2wa?OOdtC$d_}sqTCnZQI5z
zN(HWF{7bCVNiM~hdcn{VdfnxGQ>>$(zpfGrUh}yykg?MBhSsPVb(SR#A?tWdX-Hd;
zJEQlZq>>ZAN7Mh!OGE>?PJRrVhh?ZSv@T)eWzttF?#`O>eODby$gOp}p>~QZdzfmh
zjm$YzVem(C`z`;9uAg}{T(GvNO?W-4>IXoman-H}Nzn}4#yLFlFdo)%ad@mu*hUan
z{uaEX#I~moG76<^4C*0}=I?s6;)EM<!o^02;UPMe5)@;o(6c;GcW(Zxy0eP}G@97K
zECkb9l1fe4PnH8o&=aj)p$$oDpf2vzBqiP*C!?8IM36^>%44`L+JmJaLkD4W{E2a6
zB{bNlV@JkB?iwjoz28G2odZDZ%KWEBxr=G&XowAx=xyAdD<nb)-sK4Qm%O8r`X2tI
z{_`@p$l7dt<x*Ztw}`)|Xv#<9hxNP~KhPBftIu+C99hdwrMk+}DKx8h&(Qwka);dw
zMSOV^x`ic^AH11|75|?a1_5f8rf)>&5T9o}xxFfGDV0_<7N-E^i&ol7PXq@nErCJr
ziAFOo_n<@TTwpx^<SYKt-7OyePt`t?H|%vy@x-Dnjg0m|zlu(7(XODuA?HN91|+lO
z%~lC9DNRqr$)uh#ex%hC%=G0r%HLmOab7G%C+bOghWmJ)W~jwcYutKzs@2i*KROqG
zOI0asDw2`0&pI^xYZa$TPSBM~^;^CR#@aA}vE!z;1kvyjLWPKFB+XE@jY&o#{YqFB
zToOkQF*H*yhw$u&xKY!rd;J`RWQiL(R1EYc1|B7mC38sNqH8$X982;$VWoVlLradx
z&8>}x|FElee3<l3q*K!faOxG|&1K=_J5dQh=z2R&?nFPdCh)_UB%4nA#2;U}H}^fe
zI5a^qfM<sxp~0pYCa7lEnl9~99=U7V^}2(Lr$}e-Ok>s1VRfP0HU=UKWBzbn&R5%^
z`A`pIG{}=G;fkmj^8lkzus%|++I_Y*^%HqGcWdq<E){c52$J7Jhf&O=NU=1L+06*r
z(WW0W9yt%<GqE-pakxt39tC`qfqI=eSPQukP8}$GYEoKR4P&yw73(Ewyf+UMVq0?;
zx$fZkI03Ia;Q|m8WLa6D3Fb3~_SQ3Z<%X}Y`&=gUcJcD$sKX`deX3ak=eU}%b?D8B
z@<RESYI|NG*6Ja9q20rUPc$wxcFsIqE(BDZs08!06+f~}1pU0UuH@j_heWO4C{GGs
zx-S91Dl}48sg!*aRt|yrPizX~6;R{4WLPLj0$6M-EW%0c>Vbg_E(=Dppj<Dyk*6A9
z*oNxAV$-paDcf{MEgTb-i-r3|U=e+-EWQsCtf>YWW-9Y{dug!e6TBi~hTi9Ior?Nx
zvqK_8Ph)i^R>8tY2c+_o<+Ru0KLmFF6+IIBUrx27Z>H=F`;ql@*4s&#0&f!p;9K%O
zbqV3gKwfh?fxOBv5pm}EW6nFSWP%6**UI&*Y)Qn_40=_%WGW#VG8VfCspV&^OrCV&
zlP0V835*Ym(l+J}02utFdv0=EVSHfBMi-EG1#UGA!sI#%u1Y^1pKM2wp~EzSR+>Zq
zm*RgW!VCB&**uG>iDkW=E=$4Q+^u{zrzqx{F5J-gP0n5`mi8~TcuAFd1H5<q;YVRq
zN+TQ7_Me%)0OyQQBiD^&gBqVN(evmA&LMLDUHyN%5SY}}Ae$Hh*iE}aQ;fjl<`JL@
z3InZ}nSOA@QuH>8lBddm)ks{M|6qZ@!ROv}>|DXxDWD6?gSw8^1h#5@k8h4~9_c~f
z2m}YspCY1HeW_2q)0%qCVI-lQy;bdSQdiK2&^PYX54Esz)v3Rl35C5Huc+!V1B|`k
z9icM_B)(iY3^>9a<If7M&=`9tnhspAFe8e1gKpT-{o0E@&>Xl9_uRl0xWq@{cN$Fj
z|0Ox7$lXqv&hr|5=F0p>CQ3{GoH-}3b?-yb^?z=hP&DuS4f!4ZH{k$)S6y5Yn|jpD
zmKbVlI>4Ojf-ivxSR^P_#3%&W((~WUlQ+How#2b8P-UB(wrH=1TLegEL`%d(g#D%S
zl(`?qaZ&9oL;HNtr<afMSmo*_P-#^Gi@6zq1bRC#EZ$VfGjV6z^T_J7>$_TOop%~f
z&BV^{cl2ju*y?odCB#?v3GSw{SNZWAu*2EF=v8K*{jSw2@ol^?xhgiwTl`ov)d~wC
z-s<iv8M-RaXV#(d_xQ`7-4yNp3bmTrZ~+6=ud5_z?4g1HW%B9%Sx$MAX#X5-dX|ON
z{+}OJ3B5eiDO17i_^}FUXSs&=-n${FJT60PNz~f&dq_U4R<VV4*lbnNjf9W0HbjQ}
zJ-O7gx`iVMrL>9{HS9}gsn7NWl`Ng+OwaMCI$L5@D8km;bg?j&+gj5qkky4_$0Ys$
z=epB+5-g}m8_@`AfG_CfxW}<+g=<3c7mz>$>kymSOI+Z&;?+G{`>77i={e{xYoH4q
z>=vi}O&j}G%!JyEPJB<IrUA9WVm3DJ9;>3zILdi_5wjiMqMQ3Lx{=){n5T=+t7B*!
zaeE<{Qv4S%9O{%eBb{v5%{J+~L=`C5J-s_TXs9l3$&^rxF=X@zUuQw9L~n!<cg|be
za!`#wE`xF-GsIP8R$#l7->f18g4swY7V``+Qrb<{>R0;<O@iPU*v*Aw;(8ZThp-Tv
zYBfPYA-AV3ClEYp`m+VrikiM$<~%v}0~WF3k}+1stt=v!-lE*7RLvZAIx&Wcej1H3
z+2dP?(!caDGVP?2z!NpH)`vTVTSv?M<JfdHvmb{h&L_^nM~bT`{=o+UD+@GXg;CQ?
zJsnS!)e`Qta{U8^{Q&4`Mn<#ICi`O3pPCWjz1q4FBJ4q7-TE}?Y7ZawfZx1kK2;9i
zU?eT)26E%vak*vfj}JJVX=px^X^zx80%6ql=N|qi3^SJnXcX@HPm9c{C@V<%9QQYD
z)v6t_aJHI$?V;{&r=v@x<Rd0^O{tywmb#V-5XWg0-@Tf=M7>KmWBwiPEGXuRvf<@C
z9Q&8GGywOcRGpM)==ltd=iC!t<|aS_FDRm4f_=@Os3qnE?Km8(kwaI9JCZ5#Fyxf3
z4>_A{t9)PJ=Quss3!X2CyPDFTe;cTCFL$NK@1R;LYd2grnUKT%qoLiA-u4d8gO-^g
zog}$ou|@z(d4|ptCZA~XgNUZsV>L1cRg>_*W%uw3U(n_rVLswXtQap3)7W!5kp4X;
z^g1aeQ&1!;iztCVkM5jqXQcj^FbFj%^RR0nrH)JN@sF41jRUU85EBEy=ydHb=*p+n
zNFq#SzwamAm2WyuJa5ZNB>$bRLhv38M`0HcFAj7Q*<!`gel>K7)I0)zG_(^pF-q}l
zQSB$sa(#sxU3j%$+eZ6@o<U6}EhOmcfWplL-%{7cKKfy%_``(jIIDTn_fOvt6)e3M
zbF)92g5<z34fwye>zcjvBS!jsYA^c;x3utPpSw6Sms;VD)wVy0R~w1!sbK!9G1El%
zIMJDikXj(H)X|ciXarowtPN9o)U6R1O<t{K+`17|!`t7dPPJ4Y<oV-0vN{FA0;Fac
z^;B#Ddbkp8!c)2B!DP`Q>b&InQ%cDf-H{1fQl94pe-s}2wLL6K@C^7~WC;v%k}PuJ
z<74ppx&oFnYm?&=Id;(yU$0>Ra8h=Z7WI~iDLnCqa#n17WBE(MUA0e2tai1U#E>Rn
zKWZ=3+jAinpOU-C@1p4*3UjPjl#;W%iF=rdtE(ws(OB%pSUZ7RwL5)Bi-q2Re4V#+
zCw#N;QL%On^kQCV7%~6h>UG2VisA1hiJ;Sg+6J!pZTvaQN@;-(H`26{p-f+Q-C;i^
z2)k(ObbL0Qydcu2W8URT;B7{%<ZKgXqPW23n#>6Go($c0g$~t@;^E!GabK%sqrY{1
zVQARn*pk;b9`E0#E5kbLYR=(g&zYN}iaE##P#}b;+#fc#Pf6%5$ly@bH>GGyBM@?V
z8$-Z8f{~FUQSS9~uAy_qB&JaBe2B;WAyYgui3c!IGZjOY!6^k1egKMxZ>|mz<@WwA
z)v&3|@f5LB1D)Xs(EnuHsUk1ckvqU_;E`|l?lO5PYn~4|DO|3?>T<&bi5t5p3ES&*
zF9bh?c&zY={DLdGhcGIMNqxgdTBpWBfG`7Ug8#PnFE%%OGMqqf{8JVJHqo?bE7dDP
zL?)kQ)iSMV-zl3`^zLe3m*sFndxtQH&a8)Zhl}}dG%!tA`~CMN;dM)}^N}nPb(JY<
zepRzg(K3J{o~xPm@sS@M>_N`5quiI}i(Az-k#54gq|p)sVB@48UvWK3?e}YX_mZ++
z9Nd?6CEBa1eGOJ{13>JAYrNatUZHpD`R%4oXFFk=2g^7bltWG!D%nYlc_9U46}{Gx
zR$z&id7(N6lv`_p$r6F!>+y4@TJf0K#@%SM8SE#v)4s)TmF~-ig7}*4-^{wq`?-%!
z{^>Y?1pVo&5Bu*RIvaoGjsq<u>iq^L*yg`}vi*y}j={X4=95Ud^7SNTcT<5Hdt@g_
zBieT=n(fh^r?X^6|0@5M5?}=~G@uGB{?Y7qX*74+q(tiU{j3hpe7TE}g9;@5_N3PG
z;a;zje(rLI&pXpXA<FWw)ZY%rN9a3H8htBtKTJ`q(czpuYlb02usmz;IgKC^OmCGo
zFNgFskhqEpmxp&NrZ#PM-4cNO$)eBAew=s$3`Cd)w0-g2ej>#>hrGoF{lhTgp)rCM
z-|!F{7s}a{hcVn)r&WVewq^K!n+(3kzsf>i5pxahaw=!|p3OR?5q%QYZI$36erSW`
z#qPPtu*t%ERy{w=VX$Z4xl!hhNeb5v1xSryCz7U4Gb9gCSjLPECxS_X!70hVhO<Du
zkoPzOmpguB`vATA{Ry?2A35a{o<DiLD`d{>{2j<JUS-`U%IMP4N!06+^E;-Vd7|eS
zRm;ILg|B_iu_|KwksD<0+-^%58G%Qyi(q`58hq+C|7@_rJWh7UUG~i=dZW&8-=2)O
z268c2Di!)U7|;L-8B;QRge_@JA+x;zJ+H!SZoBJOcdcV$M-+eoi*3>C2g?2t)p;6w
zZO{ZB(h$F!22_ECV&y)fpP>O{Ao-NQ%8g|!O9!3mtw}6nR<Ux6_IQ}`ewLDy5H1q+
zytr$?T$-jRY#J0xaSN0S@}A~L;p@khg<rzLF}}+PxA!Sc`j|Ic!q%gbvy{-Km<CqO
zk*)Q?7#{Tj4>5eaiK(R*vqBpkOZS;Abh@rUc{7|#k!V}gU=Q=ouk;RoB8#kX6jT+r
z2ji%FkA6iy7xtA@P@?h#g^t~xIfi%Hvd<W*>({Vo_^V4k?e_4?<}8hhRw?#XWu32u
zHY9-tc=g`7*M1h+hqVvRKiSKr*=F>7oZU^KnL}!W8|+j_>FNf{AI{!Six(4-dNans
zp39%=8zI>($xz9}6+_V%o#eODAMO$Q8~^!d4Lt3MDat*(Q|$QqGpVuoKsTHNTG!VP
zxF-9~3t?J9!S{SYR47)%e(ZNbaGWk&G<_zsX{;2Bso9Ra{x9HRDDFm+m6d63;Jlae
zzks`iAsJP&rafc&T>}PH25EVo=%QHk3JG4yJOjT)c{b4%!l&PaBgQnYsQ9@Xcs8lR
z<dTUN7LR!kf<(byM<GeFqmi)-qRGBAXqp4Bdtg#ojlWF~9fIr<Sk+&A<zLC<dMobh
zvtj3;z0EXmn}y_WnpW(dZBux?^@d*dS1idpTM;{qLKB7<Rr6R9)l<5_5PmPM>k}6$
zRdLqoA+;(x#Ff0B!sw|S9uhbV;uLIs$ZMuv`?%Yj$tq+k3(}Xp6mzr1bphjz!bS&3
z?fLb~r6(ai&z{s3*N?O6Q0I5Uu`9xkIVj7%>5+)T>pC3A$DKj3DzlsMoCJ9D6sB%T
zq_gnny@i}KLDmaD=9imx@{#!wB8_%gBTk=81s6)q3oMu~;JpP+CSrOC9d5})oH>Vl
zMoWVJD?#REzKY8FF1nCQ=6b@bm&(d@{;2u>;0f4g?ultr1v~egO76)}w1Zl$2F0Y=
zQU|Q9)hwfh(M=j9jcHjo+7C(3pf`(?7&lzaJAP<0h3lScjyy_gK0LW?-b_CP`=%P&
zFZ7Kf0>*hB5%2%R+$7aCDjc*u;*bQu8WKm-Q?HN`=OJwFm0={7QNYUF5ZF?8#!al-
z!b`SNf;lVPT0#~SU>5cBg+_NV(Izc87VNj^EQTOX`AMcl<yo)LBkdE5x9BghY^+rp
zAKk+S|5o;n;(a3jXETgKL&hBU;1bv;H5(=fd12HO4S{g7-$lFCMlz*AkUbl}b-HEk
zv4c60&P<L{a8s^ZGQ3Q|OD(6_4l5D!ET#RdT#c&(cr+qb%UrhRxAu8BQrq^5Tp$h>
z`Uf+-bQM3{UC@d32taeCkA$G2!6(GRqL|esxeBN2PT-W^QM|9nX~K4o#>p#bQrDwD
z98_qRty(HqK}6Y@1W1<t>ORo`Q1HYrQ+BV)@7a`2DAI`>Ga;V_hxm-)da<yQNm>bv
z*S90rDk;3z2D$%w>4`N_dHj4Yua3E;0lmhf=yh15fbI)?VT3(pH+4ig;6yzt<g#O?
z%R29aA0Nb=oXd){tz&ZA#6$V}!an58dgT-f#nAfI?S0)b&XAt}Ehb?Wg0w$A`!lHq
zp0<o$iC*lXY%=@@^AXpjN%Y!mu`ley(jy!vz6Ghv3xgvNRMU+JW<O58gnF>DMk2r7
zh7zVEk$eBpM^uFGD0VV~%CgLPlz%fmcGy=SHf1nmh<qT{!U11|IVC~uO=<Y>tx$~p
zsI>|RFYX%5MzHn4aeVJJcXmUB?2Y2TiggdAv8EQE>ne+tpqkD{JS`lo+G?>s7>{CC
zhm9r=DdK=~@@`N*1s@@1aF2$%0;mBa`Y;-HA$c5N9?B&+;S=(bi(_CkWoJSd?7a%?
z?WuE%=~u><?6y|bxi?wH!)*v%?mfELacH)N3ifg{lVI%khKD2Ndm^;^PPm6~XMaSe
zdoWr9TJp4p$F}q(7G4mLd{&x@7+(Nq;)8E_cfe!p1hC1O=+UjX1bwB812j~V@i&3n
zC_vNLK7(~N<&ga*9?56fbBc(R8xTNTSkmq;wXR;X0+1~WZ=l7x37g7o4h-Me|EvTD
zngOL+^rhFT!YVh*KF10KdMn+@8Di5(?tWK#4~_gZT;jdKq~CoarZV8IPvo^7;=+QF
zr=JkeQ;?AYDTr+?@UkE%<oPr@q-v(FvP-3t7^skHm*4`Nd~`6SPbAdLy!}-BzUY*L
zSl<{rbVWDE1z|(&#e3i`_E>7G!;$_Wp5ZN%C#&yy-LG2aAN)o3b?u2JjQw&yNQm@E
zLm9VR?6WRaFyTuycT~bF@UE5WXja#SC{A0wZ3krX9%<f*5pg3V+PhHlVXN*4{zC!{
z$2|q={Z8RqBQ9VEoF?_Pxu%1d!|HvAOg_fdxEH;pg4QH}`cr3%mA+0~zlG@hS!U`Y
zm9yPGFttr0jX%AZBEA+=#j5-n8e)nL&2rG>z4FlQYFzh02f<=jY)nMpJt}MdK_=w(
z?wd^Jdy!|Q59imSH7<d5l#a`h{%4$f?w8$nhS88#MAD12vF4{sI3;mAF>V#RTTk}1
zbXza;qh+=K_pQ)2s0dZL4;|}Z3-yFv5+_9~8CiUS>1-o-@~w~5Ht#r*w4A~K6Q8h6
z;A*#xqYXR!!}1CjQ~BWfcs!97e8A;F$-4>oGd{o5bf^Kc%M^HKU;TR2-&%d<mqo#R
zs;x2I`sT^#Z&O%2oJHzM3>Fn?QdbE4pZ`cPV`sUYmxT%yK?w`|Aip9M2@2@;aWmS{
z89$~Zi5(87B67*xh{ccpwERs`+h4FFG8F(lO$7<EwK^#<8PE+caFsBON%2*WSlnSB
zd$^(xro4Le;E`uh?F>C9E3AO2g3&hc6~qNb_gq<`DwXn*LXv>fGFFa_MO@r*X6$u$
z)g6KKT-yu~K?QSPtuOQzPp*|0hV<jTCdTA>KbK8{g@hZ2`ysE_w9`F5AzGfKsM>Ss
zuu$s;+Kia&>q++gWIA3evhUz78CPuzatb?HPNRb{QE2)gsjL+rVSQ(eNvJ%FRc7tG
zJ)wXSG*Qb~=e&3j;T}p^i6%m9v+Rz$?9wP_wy-B)tkUjMS=uOU+7^AJypp=J=@DUj
zUfZE+$=8hLsPkP*jisid5+-CbpcZrC)*C%F^hj7mmt}6jCDp<Us)iKnYvGhX^-H5W
zSgE3Vddh_BrWBqIRlZ`z#4Lg&>?TxNk6gLVge){-Q%*TBa|8l!n9-(uHK9kF<j&Je
z=C1tJt`y!sPGJyshxZRbF2t8(M!E@K=s+9r-^7~*KpC~9My`rzvypB39bCR`e^Fh_
z^@E?G%Cr1mwEOtWvR(2B{TtB5I+(L_6ey~(mT-@Hpw;?3o*MR?`+w$qD>WCurfMz)
zI_@(k_(Y}3`jPizELk~^iqEC>v#^a$aI|(JH&GhfrUtO+H0@TAXS^EY)e2mMqG}fd
z4w*hJe~E3)2sNwFmnU5u!#*y~`&+ApDch(y>!Yd8<H?OHxt2%<WS_4WM%w=#byTp^
zrsDx_{Z;)aSSP!g?XjOi3U_3e7!_g<q?Y+bqloD&8uNC^@txf>yXpB?o=%^@e{J$S
zF0@ZwoG1E_OkM<(C~NdiuyQ(k5+!XdVXKEDQ;Q8e+^1i`BKVlUjN1HgK}-|Ajs$46
zn(Ec<y_H)Y{apJ08~(An<-l_EHdo{JGt^Wdk2!jt(mI$}ztF^Ycn58qegMX#<-u{<
zohI89Zl%6y!;$F{Vmn7(A|45~3&tp3x1Bd*{o1xH?)(-k|9hqV#rNz>Q$#uI*zSup
zqT)+;&<X<W?$WnsfNca0L?~fDG<>E3s<o)i?qU9YT=RZq#1@8JN~q>PbX|?Q^Yay6
zRCnyOfoE`bxBNCp!fJ~73}U95ejsE-LoMkP1HqA-{$n{oe?b*eYIG_n`!sPYdG;i>
zhikFU5hbQlU)USTsj85s@ztgryp6fC>n2(1i2Th0Eo?snfc`nt{y%J0%q;)6AOAnr
ziIeSruukl3od1V!`k$y12Rj@4|JHN-f1pmTkbElvUxHd%$eWAfdma|`6PrF3^}~mM
zdGF@*D^1B+$wbuOCiaMR3TLFu(nZX~{^efj`1Sw(9zTBa-#vD8pI^WF*1mrNyj_}c
zv0z1W6%icS(NJjVK!PVgrn<5yC`gciK#)O&iHb~jb||1~Aivr}{%)hijS(qIZT3@5
zS#rU}G*=EZaFsE@KwAPlfk=!4BTH%`Q|Q1zB1MQ;evy<cwS>UWVjMwSg#$5QpvM!O
zXp4J57N9US=;{^(1Aql2{e{FNBxEimxqx0ni;?4)$O>SGyN39k(D9830{;su1CK*|
z(Sq-rY0$0x!GL>veg+-nV<tk|5)U$fdJr|#119Byh<gj;1uho_^=4A|C)gY`(E*IA
z0d`hCj&=I?HKgzmXzn1$F_e_K1B<W(6%YPk3Un-sC$J9_50G5*oJ<7v#e**dM)t(J
zTYs@E26Yl|m{CkRwG0~$Cq$$NWDyF9x1g~MZ1mkI0t9#IDii8usMz6|!3cK<>@tAt
z|AGLzQV<RV$9Yr_%p7MKiirU_M8qc_0hV7jnA=RVB#nJ~2`y>NY+C+ZNwnZ7xibhE
z_}gjVK{kbm{esIwnjk+{9>N9i45}wV-V<<?OEn<NiMolO1&;$KBSMNyNr3};hdB6&
zt2<amp#au@Ae2v3VYQD=AYx3xJot+XMiA^6e(XOH%*15C6)65WAR7GR{)L+u6$vB{
zB}sPx<RMHn`C~esc{nG?EDvHCDrg8kNUaDKnB(vN+dLRG10D7P^-uKIY1&Xl&ZQzO
z=|GV6_l<_S@GFQ&SItO?nOR6#86qJi5lrMKcMK@}-|Cn_VwRKz8qssJ&JOeUa^pQC
z^24__vj4$;=ZhlO?GSLEpmKY-ln|bi0m-k$;4c*5_wtKv`j_GLx2@#t`0z1g;63K?
z7s)UWDn8HvEyvTZp+kH@{BRBUza%8~*ZIfQP%e@{-tVimu~A1@Ac>x15e5b_r0__<
z7BUulsNl{dP>`GJcVS}wS#>$?d63W$ydu`fC20t3u+Y!(aBXHW?;Y{rK?z_OeB5ra
zf4YhUUrE0Fnu3NHdSJm)69^mZKV2j=^v>$>+Y<EMujmXAR;ZYf6ETqe2+{y{7zJ;y
zmNYaF96$TFSQ3!tC1MiDz*PT#KQ;nYe+!cUX?`OPF}nqjV&esW3oij}9CGsHBHz4V
zj+_Slf{Oz;JR2y&0d;?Yj{-MbJ5a^h?6MC`qra<v8y(n2_7l~$jT<OJ0Qvj`b?5>A
zMxhUfk@)f9%d_7-X~^vS1S$mx>qhARcl^2NCt`p;V~pfgxG_NTU=k2K=)YT7gp3{I
zw-RiF_Za*=AiSr<yF>IK%gz+zp4xS-?%eD$05^L?)%T}ZqxW)qA30Cr(#nDSA-RxE
zCn)w|j`6&Ud)cK!4<XhFgP{e{1NqW{rmJ#N_P=A1u_Hpk*@DVq#aW!eEf`OKHKlHw
zdy2Ie?aD-TU@bGNr-gj6wrxtk({`k#ieJFm7g-Ezywj<x^SVZDZb&^#O}?s^dzxM#
z)cq}~KSZ{s`t#*npa*{B&d(C7TV3pbgIk|Q?)5!JVCRJ!`#oYBk5VeOF|BiDx{*Z>
zi4kK=z4?}iun4-&VK?gjC0`hvfw#BHC;|@Z!^#6DU6_+oa?i+u-XR9=yU;uQfK=Gs
z<b4WHehVz(J>A6qB<1Kza%p^lw2Db<(|E+LM|S)=Ckkk`^y+q2`JIle;ZmXmT@Y?m
zX%}{VU=#1e6z@O;B$5aWv6?3NGN@i$L06p0$S;axV;E<xd1W^AebS#>9&K!wjJlM}
zQ1KLpIzaRL<fx(mq+e|Rn1+D|WqH{jegi3{_7AaQ*5^_BAa?q3;*Sv`OJEn*MtH{*
z&zY^lL-|e~pB_}*lP3yiNTk}QM$Jvr0~B0O{1|ym5YO>HK1$DxD_so#g>?tBHO@GL
z)2<6>#XSn*@kk5GXnG}jD6eMF<}GqP?H$D}*dc>yq-%*tG+!piOuZ}OmbkBufxIQ5
zrO;>D>&CO0oDULnZg2c&q(ic2Hd)^C3aLTbZ%)?R8+kEcwkCf4pkTCzMQJm?f^Cr&
zu(Xj~nlZp^z#!nrLZ_|FS}o3;OmTC%N_Ymzo*JZ!=Otf{cBwo!9ez$?uJjN8Co5nS
z+y!a?O|nN<t#>`w!<!hRIslY<`mO?z2Huo!iRCNw&!GGDMz*fC-&9vFNP*oBHaDC8
z?UNT3Q$Lk63>u06<b8f{gpmAfO}IBW(3)5*RVcFUb!(B=dMp+rIn(D{G(w}_`D(Wt
z*k-zvm9o+^j|UOO-}$rqY6_fw^F8iI>-BnGS>sy|n)dmXDqfcBb^GG^X_9-_E^C!S
zr(QCH^$NbntXdsdxzN774<OG3=fCMFKqMLQs$S9*1RlJ%XbxM+^9T#?m=w^bq_Et0
z8x!GZ=KE-D8lc!1^N8@^o@%z?Ul-0q`Qis8Nbr5v440mHk<p#)NB5s>ruR1UKDmz`
ztd)%X^YEX__3)zTX@dVED~~dB;=Bg@j@}y#;yeB<)CUJ<zDv8}MXhoQ#5Njy%N%}}
z?K-Inbrgi_13?|Xx+1aZ<c88%wSgNf^;3VmAK57T$Od$zZg;Oz`kU{#X~Yf4cvYZ7
zQeV<?!(NQQ+&`a#yBhp%N8;W%C1ndo6e_)u&2wvktKqObz*4f`IH~r{j_)_OqMORS
zR++fwdX#)wmG$N{od}HI(AJy!<ukOmwE=%r2s(Jl#~*<b@AA?rd+U#r!Oa;+6K6KQ
z5U^~PSi0=3<XYg=`)U9cNA&R-)}(#s_0E+RDB(K>X?*JK{g$V53~j0n5d%yGBhoEK
zB{8W%PGMChq$Df9gRBl}ei_08F;D-nXtdsP8=%BpRAcDDep%BT=!R@}@$cG9m6J)6
z?@CQa%IRIhsE^m2<9q3LmUNJVE7cQS#_8-<>%M+{s{t*@pN>zAr7%2J3jH!hwytx2
zHZfTTM8M1KSQ(Z^7O~%Z%6FPP>I1b*I^q=_M4fuR8T)8H(i#Jr3&6g`E^1x8u~@r`
zisi93Sow7BpxMz^8p|Sq^WP)!CN?p106m6UP(oZAk<u%rKEwjf{Y#A6={XZ@rZ$Cc
z*GUm%58J|C)g(KTQQMyG1eS)e1(Aok*w44mBKz1~*sR;yV#c13KJOM!Ip0+~yx4`c
zca1`SruX$w_C--@BaC&lSK+r?rb+hp(V{oc+Gpo1F8LYe6B!J6m+H(|OvN-^_iZ>%
z@Ob9aTPb;I?ir^lQX9l6Tz--n>u^SSee$cmZC2$3nTcac@gDbmZ6H+x8p72iC$y6r
zj;)kq9P*d*P(WrywH+&3)<c0X9~WNQgE#BKVGT<}WUP=n)?za6*PJQ_SYa3;c7YO|
zD%rOzZS4sTx6{AD=oASu=A0K<A0J=Vd&q^?`3{?#C!Kp3hh*C%P(*ct@a{i(tr@cJ
zc`YV3B73}K(HPqU58DAd3ad<(6!p0YRI2zK9{sZn2p+2eOaa4}+|Cpuk4id&kq~B7
zpUNPslf!C1u}uCl(=UbK|N5}5(_YU?t&DQ7GVbBwE^n_0c1mI0)s7e1TitNDanr!l
z;;4=E_Jl1!_vta1Huoy**dp~TZJ(_(-@{~E%CPX3E%ACQPd|lBQy*SB6k%>}v>2Zn
zzr-^dmau-FVl%V;sNTdj4m-}LVIH-n5yb5#eaIQvS|4rK@y8<IYW^60xU3xE7`gG|
z4pCAR41@ewgzHQv8<$+BRMy+nrz>%W#`U{<knDAikY6mkk0h|;&S2LMh#omy;Hj3>
zGRkMu<~IskkrNBGLir7LIRwK+Lw`2lXL*fh<@eVrP>yn5CV6<Nz;50QH=8}GPKR90
z0Vai!;VDcF=g7WGd3$CMO#C&kIaIN%TLA+&i6H6Y4g`BkEbb;`Kl0-icq=@9^E{yp
z^h@*qnpFjs%Oish#HmlE+S5IoM*zz!`4|FvO2;Nd2Ry!H8l2XsR}b=qxREsed=qq%
zR8xhN`kNy1O7{Vy#^&W!KJ1GZ+QvpB<COa@@)sx4*tAIzc#zeZr=lCO&f;P>>T4Kd
z8#ZrWtnt!AD7^0{$}M$0Mro;tO2?YH+R%gPEWz2y+YmZ`J%wA$Ia?WSWHnG2))8y_
zG)N3V(H+JHAfamMm_v-Us8K#v<n<J$ZrO^5lvDdsDew0ip`s6^@oAVM`^IoatM#2f
zD~*2LE@?M|UmP67RZLGAr-igd3K{9IH8|}#@dN(O)K;fqG5E3~@hnU2;n5$-Z*8{D
z^V=Uw8y_c_BllwFDIh3#QgVj&QSg`Q@7c1MEAZ;4&ampxKaC(S>(&-HRqixg7^B*<
zeMwzJe?LfA|I{A6bVJ}yS!mGmq*m;?!iq^tz>;bR^Wb2898Q2Y!@$RL!cywjyi9=y
z-s>QI`t*H_adND;8HB;p(LPNsP+f51(75<p2qmsT`duPU|K7}mdWLzi`<79dx%ui)
zYdu`r6>WAz(B!>4XW*TAUbFXz7zYa5)&ECODjU@=@aXfm;em=OFlHb~{sRrF8Lt~7
z);A!98@Z^v&thrl<n-*eTSz#$Rv`q_#&tJ)%is(_{Mc@il#D8v#CUBSB6J8799<{y
z-$2hsb{P6<DW&i)3FJ6FwRw%=m61ifXo7w(-#ku~M3WqKPF1PiV|Pkj#ufeC=cZ}A
z6+6`ww)<KU2(V@9w#-fRkD(s!{JVZ8AEd_WPL4V4_CQl~gEJGFrfjH-Ho)y_6v#2)
zdsn&Hw3eq&&BOIw>NC$W&H8j+=gN@t{@BJU3u4Do+@}HE$-}>4+#nSdotG!R0zi9c
z*osjgh1=g03)FAQ8?A;YuUDAi@|^oGy1)4+^TH9DZWFeVjG$C|T1A3!B6Uf0N1DOC
zDSBkS!IaZAoqmKdE15u<BE4K@HKy5$B>nG&ER+M)U$g72viAVcwd&M=cN)nAg`SEl
zYI{omc8%LMi0u37LfjSAJ$B(2Y@#Bbx9!Fw@P?TuWVYIk_utN7J(Q&$cC3BUY$i(^
z>Ln&W1`WNf{s0Wm@4JO{EfbkbYX3y0FF>GQe#Fh`zDubcr1-7!J-uSj9hx_OxN3Yt
zoWi=&ETtbRy!P9JYsEBcK)aRWY0`mXpZn~}dnJ_O7h*I@G2=p#L><au_$?Th_P+SK
zcN^mbB(bu-S!HJ5lII=*KoRh*GWWbEc5iY&@y;vPP_X#c`+M9m#qP14^l}%rK8q|y
zH!Ua^OrBcn)94HysIJ^T9m6|aT<26iTzWVOsXs<klxN9Uy~@fa&2`)bZ{qXTR*uPn
z#=uWd%$xCME)$&&Bl@?-_$>eUo6l@wJ$?0<d^zh+bdL{L_E<fvz+OzewvE00gs&>Z
zjuM7|2A7AQwo*^o<xVH`?1z5N$cGbv!N=5UY%I8A`fqZ~&R``=?24vDR4-OXP7&BM
zAI|elXBetOnOz#M;Ap%a_v|Hl)(`M0>;{oGU9sO2C_$FUU+1{^9N;6~XN~`(o<-iD
zvhlIxdRs%O)R8XBmE~`g`)^~+yM_(Ijk63^yYz=!g>PMxX7}_svaE^HP=ivCa!2RK
za;ME$^TFODfStux;P^3>8t7i6v`87?hu@B4aW)vDnxD8;zzLzYY>m8~v|$&cz3HC4
zdX)1R<iseQ^@n=jE9w!YwW9f7w}AlSQ`y2(F`hzBG+`10yq7FhSsAk$`goCD3ie(<
zK>e=A*zz2`DA>gS1P4d#ud11sjE?{<loC1k-=6X~C508=ra-y$SK5$$*iB=BkTT|+
zA4Nty6l0Zo3l|8@YPKrVk>kv^OGDh(O{sS)vQik>-W7e|Sl)~{_WWBN&wJzOq5Cy@
z)^_K0BK?Xm+BO0M#;L4$gZPrX6Fzy=E@cjR-*yrgJJzoK9uu#N-k6gY7gQ(bq`7$%
z9&W=~TfVl=9c1Y<c(PIPKeMy^go(zO<9eb&G5Rs4XA+H3NYVjKS1U>=1e+OMG6i%Z
z?>b{c|F%!AEs`xVD$)~cjP8eYl=XJ`I#s!g0Y^3Dl)Ry@8ZFlhQi6AMSn05bEprMl
z^r%aGllV8gO&w=Gcr9Fz7xov6H&eYnH=l2Sz5%0wY{*CvUZS!aE#Z16endudaJF6O
z;^otovP+J!tsULyQaY_pJxWm-B8E_Gt#Bu}-juCwPA4TAPJVhBe$~T`W@Kyo(`8AX
z-{2D67nem@j_^X3%y9<?N>U+mc{6;~WVH4{Uvp-${ayQ*BvPUS>Y)$~@G?us!1U`0
zzcKQmt!4unxgu{0Vr7-?Z`6<$*4W(i18xr)=yn<mf8YomYOqTO1I4|AP0O&jo-XJT
zYW5V9wU(-)jF;ZZHUx$<>MVjQuL4}jg+H9F?Tc3C3bD7}$ugN+^D`?@qRny}6|5P~
z6yJsZ(M8G+rr8|PXCjN1FFzE=JH_>b#j->jF^<-okCm2oQ##3HYDlY^TJ?|&A$`QV
z$Gj%jH4#SRPslJYiG`jz$A(-yoYr+Qsse#Yruzx5l__7M-<unAb0t*AS({o%Bke~C
zeS?2`&qgx)YH;ge1T4l!=>6V;Gl7r7g0#JMtzEWaHXqf|B2WyV`6WCbVO>-;KUCP7
zQjhy$d?*ArBBSL5gOuU{$wVxt78;THaOTD>we=<SN&bh}uXAHNXb|UJeL4!s=WA_Q
z*m?lnQ#;;can4EP<Zw<xF$wf?CS|2wF2hs$KQ0yO-1WC@N^=Ub@@`hjTO4Ao)^TxD
zSLS2%aLpg~h9Yr?6Lh~R{zA&`sU54{^UkW8=7i#l5SXGg19LaU3O1bSBl%ywc_0LB
zCvbxpx}M&ljQg^DYD<_4WQK0yhY0$H?`OMzKKRKFy^MR?o6xdc(}HPwM&|Bc&Goe=
zntp6OSEIUsWLe&nwo<yq0ke`W416b9PF#}f8S2-e*FkfQ8kI4t#d0gKFugXx^l5sk
zl=j7(Z!w<H2b~2&_Q_iKcL+s(dnTvoo7<G%79il&#j;oC^8;D<bya5Vwcg9RQKrg2
zj@J)mgScJ0!5(4to4Fkam5PnVT&Hf}x!sWKMY3CL8l`slbBI-7p`+l>yj$7AVg39X
z@XVTmo24^HI#B-8rKZgtXF`Zgw%}sXq;gex@0PNwV)ZK}D4PtaHr}A6y1lCRIGvot
z>49cX?8b(fWW3jd>HZ;_xIDr^ry9?C`5SO)7S!DHG!7cZ>V)bLPch=jz3#Ozj{Zp9
z8#--!NtM41&(|TGisrMAeCT_5y49Zfer1x0qu<#rNYh~8wPRm!{f$58B!uqb40}u@
z1(&&~woz%SB^C+iGccyz)`IF1Rmg|lhV763&N2Ke4|m@O)*#B?LXjW*>KcAvd$feh
zMZA&t;}C`C0Haku9wR)^JQWu`ge;FsPmmY3t!pc?zn%Y!uycwLh6$td+O}=mwrzX&
zTidp6+qP}nwr%!r(k4yXq?dCwb2am3&N<JKoDVA~b`e@#9uRL>csU_=g6H*2Cy#6L
z))Qg}yV}vMewQY*6g&%su62If6k0*Jb$2Ab)EvY~iwHEG<~*m2YZw1scPS6YsEWIM
z`_C2sUdI_9({j4g+k}nAo#AYY2~o5Mdrjw)*ssEb{2xV?^20T#pd<H$PG4Eiqy^k2
zo1T{;nF0con95Ptd=m?{GhFO2Zg6eFW>F0K;iUONSD$sV{`EGJxg5u(=g{s|ZhVbU
zNxRaG`1Hzl3{PJH$DFfV(6DyDM2PTPlk%ZQ<sGn8VP{{f&&rv$6if^)Erjp*qV|p#
zFE8`djqBZlq>JzKS57f{gw*~B-IzJ<uwXkM)+;R^!<T`6X|-i4+>Ym>=$f%2F$J#y
z`-khAl>Hla>%Ve6PbyGLZy&Ij_jhUk2j7#BxTJ^zHMZIljRgwCSjVVXvoWK}tyt!`
zvQKZ!oxH2*y}wTy!8UT<VO9YG^D!kHYwW%q<=I^=#Nd)Q;fYLQ$xGy?HNuRdjmQ{8
za_`R9`ic+j7O<f)nO*eTHkF%R<0rQ3qT=7j<mul7AjiY-r$kMgD#NN;i?gN_QPVUe
z`Ravz<4^%~3T@Yn!qKnXP}x+diP#xZ#Lu0;L{rOXcJ<1VLIAPAW8r9V2l|rgJT-k|
zM0|YUN{RP@>%mG9*XA6Gv$3i9z&K>YriO>+B1K0Ei86UO<`~@Gm4otT)&hK{z=Iae
zC80l%IzUProj2CIyOe>&uWqcO-Oe63Mdxa=Axzj*`9hEONNT}1*9CTJPeZ8X-R?un
zltzhjpN*^Ur%9&dY=6lHX-K<Ypw9GcLF!8(5L_1v<+SoBwa!C!8(byS!h%`xI_2|`
z{TcG+|C$T5A0y~fR?ZG9a~>$}nd^mly&)oK8tL+^Q!!~@OUxyDpA6pSpmmN9$7UxD
zFVWygk<r+%XtKg5H54haU}m66W(v3wd0#b!>Bq>iXIc0%pJMCkzD#^rCJ0vK4je?d
zTwaN&^&ry}@S!g1W2B1c$@T1wdH%?Jt&?NgOUX#n6h}lv(!&wuba$}oJ}wf*rW8F~
zypD=xSKv5$YFK%@cLD6ePG8a+)T=_b7Gl1<Ac-Tt^6!>iPDxZ;Qm9-bOp!jAaXw9o
zhLmxx$`x}`)VT}zaC<kjAT=*<dtnw_)u1yvI`^;L&^5$w=Zi;8=PbT%xVPB3HJOoV
zx;3Mhq5ry<{`h&0Yk2-2&^xC8n+?lIz{J4J{=d<7|3U9qSy@>A_wxT#f*9F2{#PUH
z|6d7;ZUa@&-D;(cv?6Gq8r<2TZSUfSHa~zH2-LQR7X$`L+y9SvcZ;`;r+vHewf$GM
zOI?Z9<YMRZ%x5MGg+!_fhRE!NoFB|P9ug3ekbzD>RyQ~ZV_;@xY+`06nxC)G<k$fE
zODmQ?55UE#y%FU8XG(Ai!s6<Y=ELOb(U#N(4rrod14v^HfF`GhMyF?H20+csJoksO
z$^8JthuNi>0eFlF$n;8(&kPij-V;=oloC=h<(2v80iuw#2%zEa-hTe)3?9A?m{Tni
zBM9JOj4qwO<0YnStnFXfQ-L}^^3*4!@TA?@&T-Gg*wNL+jJ3tdyveNzu{aOBU86$-
zNF`vNpM*URa}RFlAJ~9<Pj40tfdarPO?}pPT={xRcRMO4(BIX+I*9_|==)|5ngN&t
za5n*1x#$QW3QllNZ`{!ba}MbD2G&0~{+MU)=k<p;4)t8t)KF2;lM}=^z650g$k5gZ
z3WP#>jG@b;a}GF4(8LcDW0P~U_Y<=dU1J?1y9@hUy^TRYSO~-5Oa9KzYpzUA4UTRu
zW=_4uPr>wqc-k{{NWjeK#m!AHK7x4=_sOTp2`Ia_bvyCAHnHh{y(75m2kb;0pYefD
zGOdG~zAUH~TPtuO@0Zmbh47o837`vrGd(@6!($DQPYiHwXgTpL?#?O?zMm(R%0GMu
z^S^j^cO?G3YN!2geh|B}qqYM6QAyPEYhQbje_{|cGyu%h%IN-(^Mg>q_wvtfjPu|0
z-@fm1YIp#;r*9j^fDC^RZ+YZDZx2jO;2WO5#=mDDOc4|jR+LpsKO^t_T#AZb@c!(;
z+|2#~DM6V1kN@d;J^b&#ZWyG-Ree+MX>}~)+j#v?>MeIRpLvlxzjy$beQ7~p_j?T}
z*L!7X5c$96<1gu)>9Tu%8oznsKk{jReUN{|lYchje{O<EwXLmwl@))>e}2oOu4=8h
ze%RgcHC0nzK;v6|b%5u7S(ZS5T3R0Y87Wmef2&em7=84C5aWZd{5H*wsr8QlnUtCx
z=~}<6w0;vSf9p)z)CdX_yBn8rR-pa&zAS&zZ@pTjY<KEmPhS$h6+pdqvwmeL;2E1)
zKMh9JIN1Qk<mATk!EeI8;y3_ysc*V0z@Fcn!vJJr@jX*r(EB;L^!?krkOy(dC&%u2
zS^Oe?gmeH&>wXC6%>I&x{NY)s{l$;)M!*aezd`GOGM0Y?asWxAeh713GDm(0@ct9e
z|21-c;cjg8CjH?<a)03?ad-Lg{GLN4ZS)a9`$N9}x3`WT?gT&BT}bAi@x5MoN6J<o
z&#%H(7uV0!!OrlZ{(TR~lpmC*U3^Jd5GleleUw|qO5eU0?CM|OU9t5a=pN?Q5AdFP
z(nX#E&fN@P5B_uC^WF3H-^A~&^`HLb+a>O=VjsAZdtaYmtH6^VSO4r|+ww&p*3hqB
z>Co5c#$Qzi&7IEQ3S_FA(d-|}8#qwsPZZ}^SI5&=&vRb<-3j*=7Ps~<^{`i}pJOjQ
zPf}C~^1c3zAN|J2&aXb)9iz_wJVV!C(tb~xo<LdO^q<wetZvROX6LsDYmeQ?-#))S
zi$Fg3Jc^;i>~8X1l*>z6>X#Ivw_E5AW5B;i-5C`uushK*wKZ{*b&|};>3)|o?S$e1
zy5tlahfC}O(nIvSqfxE(`BIRRQ}R6XA&!)Z9kbvN$m-sQZ{vhaJt21>FxCU!JalpV
z7y#^Xv3pm{$h+9u?QyA&^S4{xL_F3W(kWs>r>;pa)a=IaIZ|bqg-b<GKz=g{N0~-5
z2MI$R42T1Z1v(zS+3jt)BGb4&#Hry0!uMQ}CRFz;>-tfiY0sL}$_6gC{lufoeFUN1
z{1_P}&nP^SDT6sLbkyo+T6dO5bOdwag|cdfd<MLFGZl>rk-*EYs%<f}Ee+RRa=>1N
zgSUb^5*5@nV+^hYDkC)(Y_Y;Fm4*!fNchcZQFU!wR<4;EWr$SwQp;TcW{J(zv0vDn
zUHO*Ssvuz>7&k&n*|(q<;jNtBO#Wcc5D1!WO^Xp)7h<(k4`vAEd}$pqLN1noMGT5(
zX<Nzdx%tt7@7;j3!Z>#t?T_hcuI>4qePR%EoIM{pWACX;I+RT|GlesoorUM1-9Qf1
zU71Z~I=V*(+Ku5DCgE}?reW?Or&Xhh<d4b#7iK|H8FXw@jp)2c-iVXKHV!npuL<b&
z64EZWvng=mXCU4heD_C;IhM)gtUkwM%B1UT5vFLoWl)%KFwnRA?Mz(jo!@UtOMefG
zx(9p3Q#>**jHZgw7gF+W*%AJ(Ax%bEB@(2<dt0wo?A_pN71`yO;aa}eqSDO%qgM;@
zgC=gDh-Y%B%0ST%y$#`Cg*?%p5P8s@_LSd2jRW?V-|Cf`$hTz!d?rOTV+y9XRKf`u
zZSX5rI{gQc2i28Zr-^R1{?4;9u{Oz2^0tW{o2h5t`ZpGUcaFkE0-GZW$<wx<rMflH
z@**O=8Dgx}<sDJWG>A$jvrqpka$sVGLX-L$>uHQYV{#?`Z==d-)(#-9=(dhvyH#yH
z&B3_g23VkzS<e+K4EFB<e$Z#G=7EVde#npt`~mrEUMDhBc@K$Gil9%w!!q&xTMbo(
zX;NR}j69KeW6+`6#h=vJPp_{2xKNTw9t~=Q*=GP&Bsl9Vzf>sWd@i;RB~aZ6S)Q<C
zXka^3D%8u-t6+%6=`kp=^O0Oj#tcRV%rqp1Nn1O*^tx<S2opdo<Q-((u_h;_rgzA-
z1ep=xaik}-+hQb~h=$v=O2cD5R6D@e$#3H?W6JRGB(Xfd2Xn**2K2A~lAZ^4{LP%T
zRel<iT39W;YM;MGJ=b%1b#-;k3__N0D-!3K6z}K|3yw!zE%u6=%q`)Fyd2Zid#!%c
zZ#^jM3t}XEb1mbbx}<9ADZ(w~&Q1)BW>qe=nq+Csm*eKU8gjUW?JIL-BB&mhF(<#C
z(o$YmQCD`P9hf2Ri_-1Mr_4z6>0aI?37%7z!94XxCiusV&FK>22HV~2D~<>!&$k@_
zh%)Q30cRyPodE9fVVV|78_iKv&Fmt<OgT^M2|`V~BL+rX#R<C_2$A62spWCRMis)H
z>d5IOEXtGYMXBTCR{5~F5?C0>b?i=Djxpx`g@N%eUmgyfjRX%VHK-_&B&fQ1?hM3j
z7EkrBxyO=fUJgC0+J}F8!sZ<Rma_gqCwO+n`^xn`G{>RVK))PMkQrqx?!(0G*<9*s
zm~<s8LZRA?MZbOf0u7YocD0dRx5WFgE6*cajgRAND|P2!qtnfsyb$p1yOJa@XHo5q
zw(<XV4;2oeuo6%a=)8PABnNZ$DszwRUIlzV8y?o~<rS7y`#2&j`8e4msqXa_d*LeB
zz7vtyaDFem5Qs0|$^e07wZ(#B+7fQS)VlX4J<-)0|AQ5v2vB(j6^9!x@H~;zoVMrD
z)qId$yy^`<gAh0Hr}7Q+JT4La+)z4baGmuMM}+myo&=&iGvl%fgS1gqUl-&Qpz?Dx
zStHh|<HS}9P0}}OGZGr;PKT2HvPkxY*-A>P&+RwyUCJ@tk}4pX%^Z?0CKM{7q8e)+
z(+_kR4bUTcl_jzJp_@vr+xBV)PROkOCkTy20*EXRg$|ht^%}CJZ92e**U}^oo8>vC
z@B}m{a=aqHI;MxWfZ$`xC5r6wlR{97I^iV#yC1XkclJgVw90LqW;bj<7)dk6DWhqC
zlr|jEx6TtWzSt_uKRGogFY$WWU41FEnbOPZ5hE`7KG0vZk;?N;a+8Qi11>~s5k6`e
ziS&MJHSZmwrHHH1I#@Et39s?xP#YM!;;%ZtNrSipuen&6JmNl21<rbL=K!x7Zd}e?
zT7noFx#Rbv{ow_gn7OzWqdory4ziEn(>-*Bq!*u*XF6ys97w%-vPQ2c=G?mLZto^=
z($!HHI(WLCZSAgfB{gcBq}P5~lpdP0QH0^c#jhD|A?^BEv_NHaa`7pP^DX?|tu8IL
z4?LN?Q4hz$@{Z=HB{o!=kT5@qiiz51qp{Ft@AQ{V48?T;2iZD~HjliHK$f!Zo}ALI
zKE>!E6=Sso5#CVJ+Cp(Rt;Li<6{Sb|kAosZHWznw%iDv&Ox<jt7Uu)zeWK~4Tyg&1
zxEKK8&f35!^U4}62~g-Y@+vrpc4}+xEQdJ$>olYaKgd(@Fc?EIUK{DS^uB^tNiQ)f
zOh;?>GKERdWB|wy*<|Vh5|0WPpSnQ9ZG;}W&#RgxvkrrpD3JLWEpfk%%`{8;KZ{dc
z54XN_3kO(f2TKFC$VS2x4gs|L$cT)2V_=(BwqpqUN9Y=9X#dXM5h;->L)Hvf?EZv%
z$=6PigVjoi=x|Fl$yHF$I7bnkSMDWHRfHE&4rPA{$Da&fc$l%|{l8*Q)P^*cnBeoL
zS$RG#I`AHEH+UVE8(K+_AXT`B$Ay$25E+(0>!FlUlZno*nJ8gDOQHn$)|c}na~d(~
z?b_(IT4(dEsN%S_KyUPCU%jA~Bov6(8PuyiUIOrR<s4weGcfxF7EKbK(K$0XrBy(*
zI#-7U7d)(7b{FaLB+cSa6TQ6u3^W|=x-LYfh@rzJJ9N)zj9d|q!AZt}Sj{7o!y0&A
zI#ScY6StA=17y}HLgqxK)B}C;PbV%oGbHO^5<E&n1au;lI^rmSPd3(Q={>2gyg7km
zX$3rWORXaJZ>XmvHgAP~g7g8-w-m<*bxF~pNXYC^s~poU+ZMRj1^p^=7)ccM>XtVf
znIf={#PlDVQd|?GtBz&E%yUkK$T!o-P;#ctx?;i3ht0(w{Z;WA_DuUcK1+ET@-#5U
zc+Z4O{t8a4>4_;jxHapm&<=6lp{h?fJ)1tP?RO#xW5=|1X(|m2*gh62O<8I{vVJKQ
z^W#k<QXNoy)(ndBoE6aefvqMZQm|J{pZx-W_Eu);<aQ{@_=QphYDM!TQ>fa2;$?|!
zZiQDW@ee%tK1)%)l{XO2HWgX~?+OSWZTYyB&+piVGC(@IJa5OJtd~YwY~{wUMJgz&
zE;$74v5oiZ;uj;Z=#kwyZO7AaJ49Huc$2MXcd5qt)$pqAVVf$<Q=__l%boNU&Dq~(
zt4rwuq4^{dm>oDYA{>_{hQXIVcSFb*5T-6r!Mlw}E>~0NU~HIVR=W8`a~fr0j;J1=
z_EV!Dmz?`CJ-c&;7Pi`Fj#t#OULDtveVR%WKl3@)BD=HMNerEzwRHkqSMkmNW`IWA
zglE~&UokPr26r8Dox<%&jEsg8cGpYoqceTE`s8LKUeg-{!?DTW2GC}uD$I^yl04f`
zjhQi%9lzmj6f9uzZ5H_7S$t>9Px#zTaIPhPMa}tE?@lz2(L}ocY0zG(@}XqnK4z(o
z+mwRBfgPTAo|y49YeR2y#06u!vF*VTdT^qQ4f-U2paI_ITB!r+X|F4*{ymx6vx#VJ
z1l9DMZyWvt;&E_H#fE$u67&fcG1?DXc^PXmdT=q`sTX+iB87MLtJuFw=M%5boNMu(
zN)&Ozpx8Vwwl3`BM61htyJatVmMHVP9Ncaqi7Uy;bfnmRO6GuQbev#`>eX4}WERX7
z{cg<v)x8d=kcqn{D%b8E;mstt*xo|um#!9?Et-oE#C)|l)08t-4Z}WQbGO)WsnSHD
zTq`276euUMwBGW)Ry2P1(c_M4%M|_<2VMT$-C!E^0HN`eaoQN;^6o1nC%gLIkJ%l;
zLE2+28g4q0PtFAS1t#Ton$(IpW>C7~f8~#DmpDsn>HmVAW}>r1)`6n;XYk`9EyDQa
z1FQjY9w2O?<g@Dvrx0KsCk#j=Ru0aGU8{$I2}+}7IK1NX8@h}-iDDzF%;um?M1|Gu
z+6Q_4zSJSC4Yv|Nkm0GfQFjf89{9?*VwYV)e5AfAsNIjG%!F4%O}h*dJc7N8g-(`9
zX}L!X9h=J}aIiF+Ana`*n>IBS4^Kb*6~Sh$9F4N0@ZNjx<2npNbJYRXu|65rKx*~`
zz$tR4got%`;*C`X1r*{=K-Qx%s&vK$@sOg~$&2t0La3}R3b*DrO*}~p?Iqbz(wAFH
z7(!$P1W$3xxW+-@FzM)L)%Qo_W7(O4wi-oLnlQ!YidjOvu3fn7z3Jio+UbijU|0rB
zA{m<4lq457fG1(zU$kf5>=IqtXm3OTF9khBg(Vk}#{?>jB3}G_|E*-8aRX?)x*$`L
zK1S3%LExN1vI*VkpR1Is%N@l5@F2CBINX5bBf=}U0P-n6l(e>Cs2(>kg!_A6d6Bf_
z`A>x85FD<)&Ho&bS6VITpxByCmrD=8qn?29iq;L3Ms`9)<ve1eJdtkY^-i8ZHTnLM
zzDQB;uVXn);zrWL6npu35$f1lEHxOcR7#%swwtGYFjo*@N5EkB6i5{z2-s~EQ-##N
zYjMbch$u6kV!JzG!5w8+PUMM$K0g*na`;&5xR)h!(r<k^jy^gV{IyY<I5b&q^r3R{
zIFnq*G@_M#LEk&u>ih(|$?dcN7WvEYfVx`nMXG3hk`S$6Zy#8|Fd7QePw)mWSTR=j
zb<k#lwdEXN0sN#kfjEw;C&f>z7^VpU;#hp|D?jW;V9SG3ch!R;Pd+diD8o)${bV*M
zj(E=y3&z>pv<h6CRMsCE<Oo>#BhY5c%meu6rA?3B@Ubq`j+lzgswlbT>-Vr#PP9?u
zGux4&c8SIHAU7R?SSP`Yj^V_>#~=WsQO~2+9KbSJ$v?I3+V1zQFnV*@A$04U((RdZ
z9BFWCb-6A(ws7&0acrvU$99GI*Lwt_nbQl?J#)f6lZ#rnyz<62vY%^u=_s6U)K6Ft
zEVfm31Ok(4P;oUN1|LLXw|;6Gr#|1d4?~H|8>#W4+!g}IKvWD_X9JuaW4K@;59J5i
zQWL6g4a9MxHHIxj>x#kj@TLK?WUYS-QPX->60F_}mL3P*v(8e^fM>ql-LClYw#8Ve
z7*lEM=3|Mc+5F;7HhLh{KlzjI!%VKGylUm9VSZmFw3srazy$o-YnxDVe^CUjybN=A
zCH6eN3OWep<&G+iNiltYk(6Ht46~E#5dj)U%6VX{NZ;Oj-|-!^5ICSxRD4Z~KPI2<
z{q}ogR*w6Re9S3<h|MXX-^E6SdQIuCb|vSwYIWi%iIT;JJXv^9p1rNRVL{qVq@D^i
zzRDj25q%kc42D$yg3+QiGg|r)Jd37n)Wg}_x4n0u;`Zo%eDugy@J2C-mTi@2&!G)N
z=Dh@?xC`_EG2(6=Klu!jR5s^()hK3=@U2LsbEtWCZ7i`oh-da{39a+feNFw%?8c&V
zHBAY3x8dn0_u+e2CiS(7OS@0h0Nj_qJ>jZ{0VEe*<pPrNbX#g&(8e=w0Ezq;bBTR!
zf}Hp$3a5Dxuoz+|vH=36sG=3|!OlbX);(vQd{pEe-?96(y7oA_&!Ff-3tsgW9*X}&
z^!mRHkcam+_u4loY*s5YluN9nDcAy$7qR*})CG!{t~eQNfhZK)wNoAvH^aEB65KJb
zVD1zaBv7<v6h&urqSKt(7I=<yaOQSs))&lk?$Ey@#xuR-Ft#WZndzX5RPD{xUhgLI
zkT|{X0=T_HRu3Bo6GqE!<foMuwZktHEI;<n)uJ;?VaW@SVPYHTVgHdE?5=pUD&IBr
zSE7pNh3)8%D(9eCNO8`59~ZOA&x@BccsJ082V|W<au%PDwSP+ab$bMvk&`0r67W6z
zA?5eX4V~TNZ?Av8_PeytevJnStDm@bx$4=RkR2~<zmFney&C1DzK_J1rv48WNyWy6
zS;=Z<nkmp7#*$g(K(YG(pWB|85%G?eipK({z&mq2^{=C59L=OG0a+#?*}9H$ZI-G$
ztTxN`ji%X-9m(vk4fy6?LYM|eDsAL$JMg|p>t<Mqj!w_cUmCONC5d$(*kCfSBe5+z
z3PElAsfs=L()f7J;Zi-l-c+uLzx}S@BGPl?eDV4SXw9VuYt1a133iak-dS_F-e292
z+Z-$JB+OSyi_66?3vQ2L>B_?Zu6djO<NbhzoU_m(mU`ZWiS+o+AQ#S2*EcL18rhp~
zo+c4p;ypgyY1}~>AQD165+c1U?{Im<sQu(UxdJ4VYnZd_C%b78DwQ;*t$@gU@QtAu
zMy*yxD~P*DR>;dsrjcOi85|m90|huEZA~&l<S{M&bUN@qlVa&;f|)f>*Rxzcep}Vx
z5^!H^C_6vdkdS;Ro}iONRL)h05It0&Cvq3m6&VYA$iuiomfdB8&`4+NUr=`8^_5yV
zRnw~9B`h<k*qKfYfHl{rF-Uorw8m+e=$6X_7BDIW<e1@sg15c&&*6q#P_T#T$VU5p
z)VByNh()UT0WNyF%x&n_w91|keP}vz`uZ*GoY6)Nq<q+B?#^Q1f|Y(x5ygv<byx5|
zM3mo(K5!w*Sc-8RH&efpHT%qW`Jo5M!}<Hxgzz;iP4uhIId~OsKxEsTS)YmOdnfr<
zu_C3M$Kyu6_c4o}3kWgqYYew>0dtq28F9BPC+KMBh(qbI%-z^#t0tf^sMP6(sr9ix
z;h-6`v#$~`F@p~fjq!;(4O_*ge3Qrp2wtRdT>v@M^yYd05!t)(IySUapTmLl{QeX3
zx>E6ViLB2WoX{)7t9gOi9h^E@&0e4(=a@1)saZ8dOhME&O39@;e&^uveGEc%H>)+t
zzL-Q_bM%NArnt$b^c}=awmZ*FBYgS~>MVoCl2}%IeP=`@d}bAXm8!ZLN9%SgMx+5y
z+nZ@jq}-$%6hZwe=evn2CkK!n@s~A$@pK<!n!Retn??@>Zt6{4#`=pjn$Y3QGCDI;
zaS%@6ls)|ff-n(N>T#|83j_{TR%>ol`}GloB5slg$&JWpL+yr9(DtMH4PXJzo)@uO
zdp<cHkrF7UV#T?!2&VkG`zkf_JF8GQwdj<HBvF@xR+=8eb(tAiiF{`}83;>;S0Z!;
zohy5aIL8%e8N<ow@Y(C~_z19iQ)FYoO8q9J2I{uk+g?227Z(kZEWYfIix=tZ@~kWN
zwyNg`d>)|*(^raC5F2=L;*<x=JK4vr*3<qQS+xWv?7vW`3A*KA=L@S(^L6s`3%`gD
z<ret<M3obof)}donqcJ9P5k&y1cm|XaJ=-<8oWiTbK?e0O-<<9Gax<XQ)&g9=0woz
z#FoiuQm5sdG9<+-M(uQyc0~yA?<V%Bf>dNz8V6s!;iL!QyEYI!`B|Gf;4f_;&K{-h
zPb{}6w0H+N)5t6({}nB$JiW`O4G>$6NJvV?+h10oc75_9dsjbaC1WqyY>Atby`U~G
z+Uf+=4Zc|6g2NKk%^CfcjM2k|6iqVEP%1Pn4ngLXse^#lEu;y|T`r+g^pO}AK?%Y#
ziYo%ubAh-?l@!S-J=8}52SbzDGV;6J@V=LHAZ;xqV-)178lcFK=hqRKhF9w*`q1(m
zWbyi}bX-8cXO*+`NCS8Y88@<Aj{HcD!x=r*GN46tNRJl_-sw-dAhs#i4c*fSWgezD
zH}>%r{`a}@)>7;d484~JqrI0RXIN0=A^8_S$C$b-WsX3hJylM1jGD>=RBbEUgVQ5n
zLk3RNuW>;T8+7|47*7!Noumd|FOgnsL*nWN6{HPh6D%<HTmo#Ugq1y}7_??JX%qFC
zl=VU@8ZQ{9GeQ~HW6H;G%I!%oj5mbtSFQ(|{ux%#MI*#x5vyL!iuX>cqDD|g_9=I1
z&=xp#se2IjjUNtjon;(Ltr5?L^-POP#zTdO<e?*8iCv)a67JJ@c>KTxS2kgz16{k;
z*HC#<{bc2{ZEr_jkM~s(d|O5%?Bm{H=N4R#n!uId&W6LwSALRgLFUsLQu8Bn`p3JO
zkqcpUP;NQhoQv$g)HQ7bXL_pU8VPyE&F+M*Tb&=vi=p{w^|3W7{mK~GH}xtrI1840
zg96uxq0;nMO8HpaH}FeG$1>zL^G-ZzhfDP9oV`ytx3oNV16vR<NqT(HnS}`(DT-fd
zn681eg2zs{GjHy*WEZb}%aHP%sTZl#H+VxuaP``ww=^d>=Y1OE0_bE#s(fnc%&s9T
zYmj|VQyKck`?GxzPAL+4u1#_LT*LCMGbEUxw&<XB3KUt~Hbf?!g=x^F*>F&`vgs+P
zO`@{*esgqI2kZsqG*+OSs~@~vcapC;VDa3_>6|<nsx3-~&z90f$)CZ?4x&LOGw?ph
z{}Ds8@T&&NZ{>!6wlnirkLr6CmF|{B?yIKW+PzN*U6o*fu8S$pKSB8XOd*(-(VyxB
z*)A&crZSb`0zaD^S}5v1Zx}NIY?~aIgb5<zRNU;n8)n4=%e;y!Ve@+I5tKhr|8F}z
zd5no(t4*ShF&NpuM&JxvJfU*&VN<pGL}FG^XJ7>{BUFysWThvx5Oo;?LE4KK3q=x2
zlTF-%>``&{)2G~4aJzO`&EX&?c7SKaPFdzLi2*q++k{^iUXvg-xid<bp_=b_pm{@<
z=!tHC*id^S6ouJeH&!>4F6CzcycwD#=hr@C*`;OyxD<Bw`G|$9U4y{2s>G;s0;vWB
z`L-<L*}L@QgEuQ^OC3FsV3sd-C?MIg;P<kG9eGyKtu@{z30a<Os2IY-<A6?xy#ZO{
z(bBR*5!+Q#>aiwCb)a1oXa@8JG#gNQo0J|Ti_%coS#n4`O~c3m+W_B6jjl+uW?|9W
z{8>kiqba)fmMBXFi7yOdSlC2%6RHi~WXq)_b=NNRU=d!r3>FX#BIH?rzYL|qZSk@(
z6g~7P6S|z)R{&|UtU94Lm7z$LP#C$%JT>qXx_&$uk2S_&<OZQ6Pq}AVz6DKZ23(D9
zL&C7gZ8Rbg7qd7A`~rN3%HTBYYP!cOr-#O2o{-hbL180oh(xej`th{lTwe`CcBf7a
zMw8WgE_4e-{n<Ang;={!*S1l=r@1klC_I{66sZ<)>Ij^<e&cmlAH6da-&Pak%Aru4
z+&If+^vdPisXEI5`p3g7@oO$HZRJ`EY8lzZbQNN>Fnx*keUrD$5uQ$2%G9iuh;a!5
zS>nLT7v6}rc2-bjN$<pv)Lrt($Jc85RtQT9!M1x?Y%Q4|B_@#u{^y(!6(Vc5H#oG(
zvJm?%N_Fr9Gxk+zW{w*y6hL}1>~DcD`;}cv|9jU+LK(-1bB*21Pqd`g#WE~=K9*;u
zs`XTi!f_jD`N6U*GGmdE&HF(3vaFiEOjU#sSlbt@6_^ziMpkO*iio}?jih85ZKhZn
zd3%#QjZVK5VI1h%#;4aoE-t+rCn7>@Lm$&$af~JC%zTH$TTIWdv#L?H%si*91^NZ4
zKh*P7cd&S7-%O-h=HOiqgsh();b*Yr-kSLN)ATG!sR>x-rbcY@Fcy%SzursHC38+?
z)Z?IXerDiWVn6}N$ww`~hsJYMq-U#v+|#`4u=_KNtTr8w_eQM8fGM)T9&Y6>x}tMY
z{*;aJ*1WzdXdc%0A%MF@nTZJgv<H;tS*B-5a2{Q5g=`;dG`eL411%ZJk%JqwoHv%0
zvFnyseI>`R+ghqttZv6V8HC}>N)%&>DM{BEZ%YRGV-1j4>g}CV3sy}ljy^dwZ#5bR
z&Xp>f&5U)yOrx|O&8w$pK=856o8X0T8I#po(pWz=eMLa&S-XKz#OnKMFt)-R{!06I
zg(FqyuwzL6TZkqcSI?}OXBvjJWt&CSBr%skbp~m)Z&KmS0&%X5xTSDf%Qt;4hC0$2
zOJhyvL_tC4y}G54e5f)m=TflBzWmEqeXhZj+;MkSUQ4+iW$L~f^UQ^|^54o(L(0Lr
z8p%f9gklc_oS7d8{J(I#X5JP--9JR}Tm(F%Eg8^k&LKm?fM^>T^~%fmQcR?jZPw_C
z?+9ze<m`YEQWe=S`MsB(ol*Y3-Lep7vMwQjiX+i}a6+fX7h@tZS0o-PzYCDDQ~ELn
zq#IH;7@08JLseqRQ{LimGk$kfng`6mq?_4P3;|2)sP**2^q=GB1|SxI)P^QL1Alut
zb2_q7uqRRTP1g5WU<cZvx5>6SwE%Mkch+n*S|voxf?E!Pu(IH*c4U2Juj63tF_CyC
z?G|*v!7e1^BG#6htrlbkz&<*cobuSXa3?U2f(GY9d;g@Ot`=J9Yo1sWlPqtKR2$m2
z5=Pd2VDz*e-HBDJa>AkEe_bg|rk)1yfvAUALB9&BpDp#7;Nd`+4fVZolbj9Qfe98q
z3}ue~y<n_zY~D;3as~GsjilUTyb=-RhW%`~eW*-Op98_8qyw(w51EhoE^@itRTH#7
zSOZPtyO+<Td!S>TxWr*}g_I>vz1%ZD<g{kc(w=EI%vT|Uu*V`XCaToawW82GMdz-g
z2gG<SGaACd$*bURlF4Len4Z6_u&Sm(^Bs8Z8*GG|LIYKJHi6CZU1i<QAKoJjML5-~
z0YeUM$$3<%w1{e8+8PVcnf7IT#uzhKTYeFsmisN4de{2cs^n{nTOb!!TN?QWSFIGf
zLtKMtQPR_&JY-P3D0?{5e0c1ep5(2DV}3WRG#-YZiHT;v+#fCZ%<rI`GKK2H;4$=H
z;<6T%PGUP~aPY#DU@&p~z{qbZal{%U{pbri=<IiFqBhoasj@j;sw?u;guU0`CnC<W
zYcXR2mT?syHweXf`&1CebY+zh_T1*O%*ruxh_|$qU@z1RN3$K>Mr*x^=bQS-_up7H
zx;ul=^G#Kcr^+3&NcGFI$|^dBp?t+*84=wTdD}zY(AKv|q&>n%<|gg$8Gr;HK9x1H
ziT|FbS>kIehm`7jzHruDxeA9)XO8f@G*a)Q`{h?SZm|7o0+ud2kC8YN?>!>ycoDsk
zUm%OsPcu#|ztaaP=Md7Vfg}0!C5ec6Z>J~zaPhKp&3somkcdukh9ZoG5B3!eKe1gi
zVK%kv*DlxV1I4!hsru`4r&EvJ8S`+{D2<ZR!^5@^$!$__y@aZ|YScTjv`HNUB8n_c
zr3*g>$uW`BphK(8Hb$+|T_8v(=b`8kwcw2u`Yr7)jd2o@yQPw-Apb;dXNz_$<CNp=
z%V-$s1H=Xic|Ym}V*JcLoY4zn`+Np=nT7tTwr53xVQG9`Gxsf@2uu_#50lohEe$%B
zo#Tdv=mm$_bP6BVtW$Eog(@F~43N^%b(W};%gAm>6W=Tj=59?4f0^1BxLKux?qE}1
zON-xTgIJ?n+|9Hk{{!B&Zr&AKM1I4#-*<{<WHGu#PPQPd^C*|&-3O$&G%d#m*V~uj
z9W-5>>`KYOJW4g!46E{qnA|LAs`F1uxNRBZEjAskd<jQmmOR%znvh(noy1H%4>`yl
zd<Do2WHoQ(P2TV`Vi+n<O<W%}SYTZUF2N%fX~A=4E4$}?0I=Lc-y{`2pcUZLs2h+>
z67ecj$iS``V!v|%$%?y2DVxLJC8~l@=VFGk@)2e#Zjo=MqGZaqJ1K*iVHT%5$l5Wh
z&|QFto9s9h6E~>^cFDUp3zN`~Z)TAFy)zfzY3pVT&^9w<gHQx^w7A`3fn+#sx?mRN
z^&f%j=hJ!+b7+|tQX}jE>7b7Vax9ynuORWN^zFba%|EB<FGfNK6~`}p+|GJI_qzxx
z=4##ix1!uRn<XAFpiXZx<UMxY<D{K|D9AA7LIZmn?GBicizm+Gmklub{jXHeJi}%C
z<u2&x%1d0b_*-&@R93It&Wk9IkV~0L(N(7>3bw1ZYOn-1De27chmqd*pnvcaxj?@d
zzZJ3`8+q|o2ti+1to3>J1a@N{bwPNuB-t??Mi<n{x7yB$AjjmyVT3rvK!c!bN(}H#
z8A5A)alELi>-2KIX(QVXfgSr$y}E7el81msaZt!0!X*8l{H~+J**E6h@)ZkO!5;h^
zEG*VcV}<iqHI?TcrPi8=$mTWePA}6^oHNISv~hbDX}*D_G^MY_a<4mXjuMQM2AI;G
zGD!f21}om5=lr)#oL=TXI_f}7jeG195H!6!_hH~SlEniqR+zR!@fGQ$u#8)?vuf;0
z5KEP0$rke2n66L`c)Kn7oHn(jnWNtQkMd29PJ?M7x5ga~%_bQ#Z*Vswb7+0(XP!y@
z(NKOBq(+P?CyzKHAMBFHW7%S+7o+_Ttpx^tMYFVZ0O3c*QSP8~9i6a7h>m%|3l-?u
z)Yx7VtaBBMnxPF<Z0<;_pJEC+uW=|}riAcye3qk|scN$BWr;iXxCHeT`a_B9)nHr>
z(_;JwHt}y(oVkO@h|X6{iw5nBVO0TUI0pA%t?)E*t*FG$q|4gA8D`YhYWd}=XGpL$
za<v*WPggz&y1M7FEX^PYk|{G64eX?6b@Lk38iv5&YzxTF&}J>ZYl73Ho_O8UEcXsS
z75Bf;&>Kz3wc{daFE3}Z=H&_E3BsIl0c+}eJZ%u>5(B?#MDeM26{^_8f6F3--`clL
z3a}8vl}=ijBYY&!tzQZEH@oEz7{FIk@SFc`WX$`XQc`(|>Pp7*Ab1M}r`BDt+3|SY
ziRr+*>acZ6jw$Z)L{B-P$j!cj!l|sPOx-7-DsA}<(o(M1*&S4iYx!n=9c6RvEe%mi
zUtjiA&#*svzb;{+Md?Pll*THXOf@=(J7fi;O3e<lf&KHiH+w$+Nh~K2A@;z*Z+TxG
zlh6;ao(V|&7%SabHl~=vq6)gml_fbBYf)K|f(3P!Wd+$a;ssZ4I6w{Yw)2w(V*<O5
zot}2zT;&exyU{A}s%%jI%U^_S>8dgdUyr>g{Xhr^q5D4M{i#+`jBn)ZTgdv%U(J|B
z)JUuDa}7S%^R!Y?2+`(5V;D^v#Gzdwn68jf`z}zZ89xmt`nn`8Vp5ih9cl9)ttCqF
zh_=~<O8Zoc+qu!~Nf=GG`vE_sF+ux)RQY^e0wQ#Y1Ab&!cKulxN{j$W)3ei*0V#ex
z>C0J%gm=Oj&hw9Dy(Gw~(xhIwc}U>$5WlFhc4;uVYe3IcIJ@XI1e!E8Nj5x_mH-C6
z1#<(|<8D@?zXxu23@4}zl&mhYHp2ax7Tb)mayrm|vZjjOL#JstFS2uchXpcvs}@Gh
zt<x#JVyT&40Oz`7NS5>|kT`K1h`sUarTGe8PP9(~Zx#{MKN{avT2uGI<-3OMpHB%)
z#}wDRdrt^)**B_0^^Gq7#tIG)ozBGCiPm_dSv`B`4PM35*e%`n0A-yt@gDm}X)KEd
zIB;M~Pl?g9^rZfjHk!?;&^KvuBbLs1?lQ$+7GnJ#6m5D#AzA{N)|3N<-_3I^e=@B~
z8k$T1J$*YA+V_T$`0lDa67iES4m85)9`J$6AAhAQZf3X5QGBW`y$*e*osXDn(VA+9
z&~-U~28oCCIePjlVpGSTz?u)?8we~ENJ{0W&z*))I<-mb4a^C|&8JOz4kuPY-TEo6
z?i>F&?_(O;NF=iz_^$AL;KVTEy{Fz`r*ezOo*UG+iASyQ);02Kkl-E-Q|}(8DTf62
zHpSo}Hnm-jv2|dDS=)o<d!Ak+rS5AHYXKjEWGRWlcC@R=+NI2`#>A+CJ)PzoEx@ur
z&Gen$!Me$W<3hyPE3NKZ*Az<cj>lfL!WwF@8N!r^FJ#)xC-u*H%Qj=HX<`Ax?rIr2
zEV%3=8|<TezvD}mnV3b7U(OUtnBLbNAMS#i<)==%*^oqTGF`bp0`>IstwLl-{5N**
z*7D3cvk>f_urC4b)Q(ap&g!*FHdfpI0!H}Z<wQN+QL9RG&RRhHYz7VCq+m#B4(WL@
z_C3;}EppHP03w@zl+5+69F~ezHy=AXjx%!Vr9zF1H~^*efd^5GW<Bq}_uUNq2^uGh
z_wEIGYl7H%p_i;n%o`4%YxhjUHf7?<IiK9ez`#^@I}GF&8r}W%!fox~H6*G$&Eqt)
zJZPfJmD^@htJj5ttu&0Id6B)*a99&|zsD%}-8UOU$cwNb#K|-_fq%=%VkbW`o4Q$}
z(e0)*6e{S;kQR@2y@53gUoM9=!;(p7p|ytm$nUjkJ-U{ay=xPd%317VF=E72%TPTz
zF-!0lI^<={X%-%324w}lhlFrJUNi%OkkfSB^`*AuaFE|yWsC+J@JNF8(KRXx2)}FW
zp?1~A0=Uy%h>*e2mvXAJ+pJ_)Bywsp<oDe+gg}#}RBHr0&VhiIM&=U4JdA2@PFE!j
zMW4U}_H?+4o|o_kn?dLfyMvfk&@F-wS~7Z%TOHa~mFSh@gJhpD&;LZQt@Q`-piN;B
z7nLltuaX7rv|9y@@^i*&WR222U%5ZQkuFjQTx1O^KY_J&pBg_VauObYIK3?sNe4)>
zx?dOBEY<1b9(1Sx&GdXWx*dR3?1=u^B0u@QU__Ps2wubv(d4mPC;jQrn4H9`1~{Ly
zconn5S<0Z&R+ocfbL|)GEf?-#HHPJq(;6}V6rytwz`ky6o{6LSl2WpzamlmI3^$B;
zZa1rWRT6_OwiN*z!DsZg%S5U`AcL2h7p@$<W@O*!xTR9}tU;AXUhg1l6>GK6)>E|<
z6F#w%O%8_x7Bggb4u<1|(EuCfk$KKlOG|8u>wdwdS<$Dci}G-W@vBDp6Nr-Dz_@r3
z;SFNdbaix68Or=`g{Z@fh)pE@V{wJ^SgzKyO3{XAP$Ohm-LOtgfZ6J8o_cP!M(FkR
zDl6h{ZGhU@S%V{dnAmbqcUQ{c$wDlIe*4MA<-e;aM0hu2*MhDu$=TrYhq|fkC!_0S
zWd!w&+L2j(PBRqv>H{d`wJ;Q&3Kj*JT4UR447BerSP{3iPaGq&)@`Fm0B*cf{>>ok
zX)?*|n5Q)=vP8hz5E7Z;!Zuf_=J~za&c{tbDNtM7X&f!FXR302t}Nv&j4R{I%4}JK
zKb{A&k%}JSJ|cooLS2D6cizVI`TAcU0nslKcQ)jqb%F6l&*B>=<=wH+qSPLgFbpk%
z&d*obe?i5;P%DobLWC09iHiklf_Yrn!*1uyu1@hH^*367xt@`FB}b@?n<V|~vn9Y*
ze5TPX?H-vSO=r6H7^?>)WPeb9YnY9REt{?-AmG)8gVu5O+0$=Cj@dbLS{6n-rb83q
z&-0?s_N!=>yg?w_UY>-P`iC9+!1xjPxU7few<12&?IyGD(XM70k|TN4jH|J1t8-|c
z;8^QcWMsywcEef>*qn0T3v`e&-Jj1v=7KWLo4)L~R^D<0f-lRBbRUV+zVYlR(i-w(
zDcoJdr*`HB=Sv_w{bE1*3^|AV4K>Y*aP@1a5SOo%rp4G%bTk-wL{OJ*^RgG@pO`3Q
zUf$pb2h5eR9i6V!SvFQt?D*hF-O$|J>XvQQynOmOOhMr==vR)h)^u*rMDrF)g+!lI
zL!e6QJMUBPp0$~z;b8F)At#VmW~)`V;0QZ-mSv>;AE2HmEvpWSRNIad(RLK4X8&~*
z?k}A{`E`cDl9+Ao*z*)~mp&aUlvD`RB6IZt_H!=kI2m~wmYCks^yO|`ESFnlv*8IG
zAc&e{Ja1q7qLk+_6uy?vJT`W&MaEg{7o3ZyfVzT58UBgXcY?I?wKnCxi~Ozf$ZOUR
z+BvB_xNAp1ZTJIS_PPAR?DTWzcXIaV7?Y{DGJJ+j6y&EG{6Ttlv!Y~PR|cqzviq9m
zkp{`vAwjn<r^Hv4^7*sA3RT{6rSmXn=@^LJLn%gyFpcjPFE+auwwHi$=fwaC6zkq(
zb6U{nLr+5sk}=TgRe&b=$kB@O5T?f%TG64OOotO+C#uGZ_jv7l3&hZ)?KWq75c5LA
z#KrEXs)7zxp9mG7&_<ltAVU-x{O>q!g>*|}@;hUzXdW~mRLaGG+1_^OO<Hy=oT$2%
z|JvhtkxnljuqETu<k{X(n4&!qFQ7x&MK@rK8iU1Y&8J=q{R8>%BIoW$Ha!c{TNr~r
z6AWPU_*1g&7aIY%eZ-7TSyrQC*UkpZfMHLay=r!0jI2lgDSBJ<8TyuSuQ|wcSq#7o
z;-`w7eUB>PR^L-7VoiQ2$vb&vSpFWdK)yNqe}AbH-+s*o@9?HjMe19i7ffBldK=`f
z7;%s0Pyh@#lD8a3N)f5Rr&38LSe7Wl^cq`HM`A4U^m&zy7y*xD62YkSvlmSOO<FVq
zOuq0~)?WEECSz4;jH@t~bA3dM&qTwTd8K)N%aNzFA$<Y(hk?tI!u3*)Q`}Dq+@q@i
z&6H9UOu%;!L>+yS3GynLqw0G(37V0Km=EJ$S<pvP^UhU2y^(_2iO}UC?lDoJsqUi4
z*KHY`^Bh}~wKX$$UKEjAO2m@D!Nk~3(R80pCW_bu)~hzWwwko(FHI-kAv|xyW|GXT
zk2ivW@R?hWXT(D$;FLbT*R#_hC}C4E#G!$8JG57cq?yZnP80;xtt&_*CmWS8F>Cvh
zT%YBVBbmmlNT$_fm|*<)W9htGr9%YwuM_;MGV|lpUXB6z+e-Ewq)h@@>s6fyYRuNp
zv=a_B%N)cvp4)O(Q(o&zXL6@88SRTPJ4-J*OtPAyLoSMUUV4<m(9K3iv693jGxD=!
z6b6if%I=0p0f97TRJ}<mAuaw6!THE#{>us#;D7<e(sHJG$~gLmqXF|$TA6nptU+NE
z*=+%$OS_On;<|_k{8%ITI@YRP97`6^Lm~}D$`f1Na#Sphw2)3I1}zhACh1wI1kFsz
z*i_aqyCSgUars15s6TgWsLK6(P6xQ!wX9n8;nT!@^CXJCS`W>3D!;Cg?G$J!hJ32@
z--K0PYH8j?(-7GzJTIIHMmS6nfiT}ih2yIg6m*;S&!M|;5aF!NS$0`=6Ajg1)Y`p(
z9B9T32><p3n**_Y_c5B(n}4#F=?f<NC~oSN{O{gJ6Oi3k^ge;;m=;z?hB}?=KM>*m
z%S`Gy^JN?w8(4;&8NI{;%U|&pNv#8H-@OL-poZFpQO)4aBAG<`VX-2La17pohtG-o
zhrs-uC(G9gqpD(9f=PuA$hg2f(|LeaI!ir0{bEv7jxjVHdzTOepg>mCecWnVNK-rz
zb|mKc#G<dxT{&F3<NC|54@tobqoRx>j-Uz9IcalB)sgk?>PPc2h@E2yFZUDl%z-q@
zY#WOusvmFbHiC?-nE)y?iT=6E+3MH($YfS>w=eg+PB8uK3+6fSkjy{08_|jAwlW#V
zprTbXxuZi%!A9mR-a>ukQLMCEp$8I8`;|_5#eZ^tnUSwgD>MUqvEQvBg%swmNAYAJ
zU+VaV@^`Yf5;zl*E`=r?r`D@Rt*E@6ie&Diu%C7F`cdEaUDXgvJi20m_0CPMPHW=s
zgbbp2!J69Q6bV9?3K-k0O>FCw+JzW9km}hkPZS0%ikN25aJu9*%jA}HHbcU>nVgg?
za|ygu%trW1x}VpH<o6@{p=sr+gSLYa`>cK9+wh?{wOSbnQks9Aw&5MjsDdbjLU1(u
zHXQ~GX>>7}1JI87^tYnBmDSnP*>$8njuPAQjTnrYEq_?_1TLfS84eD^*O{ejdb){Q
zy$9e9%SdUOxJGexK3N|MSAN)2yWDMEV_IF8{js?zFhMi-N$<NDP$jb(i^eY<zm#d~
z9DaJEORJXMGt+^yjG;og{FAT&u*U>jHHiIPTbIfqT$esd2WhYW@^xHrBzZe?YA(AR
zr{(j<Uli|Z-)vz3%?B|)2b<&1>f{zIYZji=c;2%x`?U;aPM4d1QXtedbiWw;Y}Mwx
zV+K4jPsa4KeE&;n*#$&3rog16!Y+499Fj!wnC+i&DsIoxB%7jg(G!}DUJ#F)0IBjC
zHgLy(aFOwKe3Gaxt_#6|mUv~F!b>J}<QAWy2yQ(7!pYG#<O76H(n+T89m=2RBHZY&
zMwJpRH!^0hxf0MlG;%f9oTP_RIzluQ7jZoBas-3~PcfzByk9!jOLNUj@Uwz4-W!aT
zQkZ4o5*@UCMi<#rKd%^w)>x(DrgE{@``6B|qF?-=Y?7fg{cKIG&bhEtA`10%!tuN(
zKB!|7ehx~N<1b2iUF<v$r%7UGR3ETY6el69=Xjc}yR%wIL998o*vO0eafL=(+QNxD
zhD`cKg))~sH6{^+g{pNV=z~baYjQr2Xs3HpKhmat74|g*4hWr)c@i=jwm2zVi_{|d
zYw9tr3g+w-))jcajnhVsabXI1{63TfZ0H+zK%Gt*R<tInGtDIsz=Aw8kga_e1DlPc
z1V`&@VYPsL5%4r8%dMTmdE@zM6)n_j`1z2S$cQ08Q>9z?3o!9$o{VnC{xf109O#YM
znLVK(=k>9S1#88`dn^a-wGl8Epi@ceBpC@zO}U$OQr1r<7s<wQmJZ&<W|-t1&~y99
z=X4Sr9z~x_`x}~O#B2=bog6RGm!;Qw^$_0`lB#}Yy3Am>7}T=||2ol4di|xZ8?i7}
zYpF`G_XS>{&tT>5J2%I=Xkz=%?cimh1r>c>Fw?!b%%N1e@9iE=IEJBWyfj?{M2T+H
zG#Q{zvCy(SkU;2dIOw%4QcN0S)>#MWnqeN^PK_?*&PQUEUhP$ZyWW1KAI3aiG99Rw
zbkwaQPPUB%8_l$-?m=2@9u&gZv6v%kcp8Mi8IXufiT2%mGu~b>uXOpMi;`32m;uBR
z@z1L%_T+ysb`H^%McV?6Z9A#hPQ|L&wr$(CZQHhOn-%lM_OH$x<27F6kJH+xy<2O~
zHD_P_{7tcRcvm`PZ6%V?&ZZB%YaaD$orzX(M=KGEuI3;e&DHJZWL<XwiCk8tuN_H)
zpJ~94PTA={BM2L5a)VS|<tio9Y%zE)`GbMF%AU$uE<d|IF#I2vp)utOkp)RJFgY@X
zaN93$-iwsKgKy;h<v;Rh&+rrkW|-cY_k8KpY;ah;lUh&(n)nn6=xkp0=p-fHMyp28
z-==q_1md4p)E_w^{-V^NAY}9pG33E7Dt3^HDxFw9xW)@(`vfl7E1A9O?e0=ds$#n(
z_C;(W;D0M6d>al1O)5&~YJZyfMF0|qDi$#Yg#A%kTOo9PmQQS>pQpZiY;atD<-H2v
z1tL9SA6ZJS6@Vm1!n@P{)$jNiWa|+-m45|!WvVgW00$3ER~ei~i9m;Z;Utdqv)*6q
z(5QT@<{IW8GxT{%huDB#Y;Zw#Xi7=qhxFc&e)=ur1~9?PyEsi6Az)1p^+gD<gy(ER
zbSzt=BK~_QbsSHMzO(4u2D6UD2#&O{8<H!1jo-JwL98|<Wt!QR^&78-k+?vWBxZ{K
zh|J*s$>Wd4R9B4PR@#5;Gd$@pf>NEF&FM;qQwLy=B-fQLk<{sBA^S0@!Pj>1B(CHQ
z!-MNf;n}^aDkm^*56xT2`DCG{47n)@2&UexibVFdwin2JAo*J%D(mep^R--aW_BFD
zW;i`}h_Tkz5h84TJFjhcM7sEf&|P+_u0e%x?xhSP&A~QBPBC>S)|^RfM89TT;ZF{P
zNuS+FPYm{fP_3&}+3EZCd-sa$!=f9*Df{mj4<SIsUpuPNP5jGI0{C2({X3x0Jm~h_
z#(LiB^YJ8d;l}^gC7qk&M)z`f^r{iKR&n-Z6cREf)S&IDZ7AP9B#FZoiZlJfV1eGl
z^%ZibSEen>B$?vI-<anYv=K{ZJY|Y&%$Yh)MF?<7?s8xu#s(V0>+%iMFGCm^i5z{9
zbkj&*)OKDt7@j6LYzdO-(W)g1h*jo)Hf1L93T2-pWDN*iI5jM`3N4=E!K=AWitwV!
zq?@T%9_#9a>InqFykvN05T(YO36rbPFhE@7IGRp7!&U98HfNlOnQ&#YO02Bsl4E<5
z5UObM&?vVpu)QI<-3w|5(*3gNFOZ}<w!i-_Z>FHJB57P<;MyS#aYNHEH=?$eE+9e<
z`vl-N%c0i-KAj;0me>1po0rQKGrQkW_Kb3L<m6ezFl{i&UK1&kP~*j6890(ZhpKU2
zTbmvLO;6x}BI<uJj%_&Q^~h@nXr)X)QH^n2+YyR^?~Evj4|}+KZ7+UcC?-XX=I$l5
z?6`MK<fLcSD&dllS?h|`h2!tuFnr2|;%2$8x=7YmNeYF8hl3j1`zs^#5;4Uhb(f+b
za9N5PvGSf?iN6^v8ngR%dwY*9-3CQMHbGkq!#AQF&fvY#QD~=7ekt$5Q9SI1&Kver
z3e>KY+7dIc)ch4zKw%o;offg`As!$*G{aGF@sV!y+>~L5N}0ENo6QXS-UcV>flIK6
z)#iDYJR!%1ynayi46~=kv-8#h2RrSu3f<N@sfuu}HBGHt3f?MeZpb4jDq==Vp74F<
z1?i$-u6(&~yWOQ{Qn8dcrDRr`{e*DvA&NN>@%+Ta{dewQOHaC-Q8aD27M%>y>;IO$
z3ZXtka<80m`Na`q5zRmOfk}Y2e}r1_vY#{F;0Khtb=aP(=_h)`L?Ez6VH%`1`(IQ=
zUS_qBy;pjK|Cbzsm57nZ&d?Huhvz^3hkurEw%`9{3Flzp_@9<=PF5zC|F<Q)8C+S}
z3ir1(3H%}vqxj4GPK<NVA{-+l+`rGcj1@#OjB*DbWKmpPTr#X!JPe93*J;;j_T&3U
z^KaX;rq|8o^@nfmhe6@m>S1DwO9KQ|hrqse_qG6&e|IQ710fL9(J2JTTYX0Q<A6QX
z83WVrq+d`c2(AH<UsD1E5RHNS<7m};h^{#F^8T5SVEt2wd*~>K=op|Nz}^D+XMS)x
z`i4N@G;;NH0ztU>Cm`S*M*m#(?VdyZ&j`0+tUqty^_%s;?jj-~oIm!E<6J@d`nWWd
z0z)v@K#soS=0@PaXC3SQg7!B*Fay;4Kw({xcem~y9u8WZT~1y7fRc3%U|s!oPyx&%
zgg}o#Yv4Xy2y;!&pl?7lZWeU@4Up@PQthcB<V#~<01zSw)H(#1i{I_7|7M`Rf7lTa
zuZoL*Dh<?oS;KoCM7DpQDd^tu$rtyw-fkagK!G2J*2a1}N0+8x&w#v_KRy-+h&fe-
z(-5+~tUvnlb6WxW@XqnT-^nEyxQ0ew#@8Z88vn#<g#L?yfxb<rwtxVg{p;;({qY+N
z58p74^hV-k)!mT|Y_O0nqn}ziU^vhXp6H#d)43#<z)p8TpC1rc{qmZf8**!2Z4bD7
zeRjn7%0WGHL}GxS@iP&J01^}!OcV@|fGrTx;Ap_9o4b#l+B~7;?%#tjgijwG9c^G&
zL>d3j0oVL6#MZj56bdMyFc1GvpP!mnyWp8A*n04-e&AIiFGjSFyfZ|@_?^7h{aXWl
zuszP(0IzPKy_?e;{w7GzjZT4IyFcka4!u0o)HtG&qIiC;pKY?Tv*5tD#|M}||1x3s
zAi^TTK!bq-{y%<V3#}kOD&V(-YAWS9umX>BhJ>Y$d4aq?Tz;#4u0ins<PfYn1mdtD
z_1{Bxm;!?NGec1?KN;tK?Vmr$pKi%NxMM$UL}Z9iM~G~fgzrCbo0HgZci&Tc0ZjzA
zkl$AAJl4REeljrve%I9y;~0Sb&pu6+_LU)m@jq9;{Nj)SwP2$D)-40}xMBPg_hs9A
zFNuQv^6{-v+^;V+AbSVkAU|R+^%}or5!u5&KuLb&0|+oq`;@5v*l1h(*<t17BlW{T
zG~JIv@F7LW$s_Geebh&`5)BjLLEPF4>FgoW`-eS$0=v>P0{&7^lS1t!e9^swLO+1I
zEB^?B01>qGB|std7k#m#phMiMe+3Bx@vQz3DFDUI{0)BzXyM8C8wkUD{s}|`_x}MW
zBo_P*=th(%_;)VQ{st%X-ud^_oA<~6hm9B)5eu-N_!=~f`0#=FeJBbNfJB4~c*DlT
zy<;5PtbeYu)Uafztznv=Dy1u0v)1l?s7Hvy^`2I4t*nkmUk|aqm=_zY!;P#yWrlU`
z^M28~U?R~{a^CcP-_ayJm$hy&nDZgOB=qZI&{`7<dJ2}(Gu^sL%gQsTN411?EW=UC
z%?g9+bp^glQLAGvtgUl)AT>0VGV78&!=AM{CsoT91Vrt<EJ?quZs<|w8uoXX6EyID
z2N0$6^`(1ebNkAbr49#N`5}$z9a(iwV)}iJm{n-!&GkejCM+fgLOgxmje|ASZOdlj
zyj9ydEWlWke!*&ton=1I=#C>)&83!Jqg%fWXJ=SwN2eqPLZ%2mnE)iKBpV;R-i_e`
z0EBugsz{X-gLJFc*_so3UUcF1Ir;RlXR0qUwmEYM<TMsFOkTycpca<+_|0OBi4dG^
zvDo~T_EWxlzhk}MM*L?MZ&4(Knkaiqh-IY2<~w~<Yt(M96ZyX8)rRvg9vd>}jFV5V
zA-IE&#xi6|rTk8x%e!h=N;n;<m4t-Ck7Qk}ENej!AfKcfJFRizU>7hfohvy)m#d?@
zF}@*evVmcnHfwzFTBj>>TKO0NRpq@s@QI2+i(VU*kvs{sg>CB8>Cks;GL#8cMFhr^
zd27RHsf1#+6(S>l8${8vaa6o{@W1RmjaA3NllSOb){;p2SAx5Vf6pvPD)VPf#$gu!
z#;m#d)q(2uQ=NjpbJK<5D!$%hC&#M)i@DrcG{Gr^`Ls-n8>T}!jAWh%zadYxYRPTP
zaJ$J1s~wkM2cdKrAEoT^H~u1D7<-WoT7JC5&f2t(%a`aBZnc?u3?Pq@=(*OaWBFnk
z<7}S$5*LedKl(0Y?$Vx={fa!0bz8TdABc_A<`xS2gX<BxrQ9)GNZz{tb^n|-3#@M!
z3|zO}#tb`B6LAr)gR2JjW9mVc{NffKngL^%=VedHNd|mwaC9ASkk<Bi*OS+rd+_n>
zW6PL1uVOlHd&84KiFNjDofv~GG}Exp>w7WR5y~)rPsL=uaothRb8D5m+}YwrVW-JK
z+_dMSeH?f!yuDLSV)o|_m0?YzD;j>lu_>W{n&Qan+>-rJ07=G|(^o1S8&dSc#80|N
z;rDl;3~JLS+E03`=q6*4dm<iFh6UWat<V*WFZ(B4+XwuBZRhP;+#*+9#so9Cyr+y;
z*~a3{uA{sN_vK?FQWQ+hOa+V)ntFtF1Eq0+G*1Z&1O@>jyP38VAZCj`W8$hbLHa-f
zk#wuC?cSCr(MOHjpm#&rG9tmAUNZI9cn_@XF;vV~erRm@Ao?Z!_BWTW@j=~(&9<+;
z6l?y)1HCt<p}o+Bke=lz3Utyp)r_rJo8xiX>#<>Ai@=?9M^~Q`L=Su#)I~D(UK1#n
zcKA8Xa%cR7#;*KSL`~9+$rQGi4#rzICTvknHfhi(QK#5FX6K6nUdSG2#bp)YOlJo~
z+6=|;G-&_xs^P&fQYvfh%5<V8^1(86`$Z3JpignUL(F#-Zw@_mh-5s$ViL2%j;&C!
zP|!*~sD<Zv7e~z7Jv5(}VNH&RZKC~`?mk*%mT28wvcT_ijAi0CF&Ynx&{fjGlS|nQ
zPO?+WgX7=s>zO)r>vDG|hsk-)Jzia0H)$C>J3_c7x6iw#&5kAdkbdP@%=qo8#H{D>
zzk<K<qU?N2_ML2r>2l61%LX(?xr%kR;v#13^RfTFiCtQ2{GK@+OPsz^UH>~dF}r-=
zwXGMXF^?9zOx`E>5{sB!cK@&fPZf@OQ8R}vn<gcP<f`0LJP1b~2Z!T5lP3FAH5*C#
z{>+Pd{bhx10F0O6MY_lfym~}&wVgQr7r4kdl`{!}w)Qv)7cX3SPQmCWT=P7QM0k?r
zQy7NT@ch?F3^e?kQbz<}nhs>F)~Vh_c>5}o2rA__!@za`(UQc8`kW!DZ<H*7p=~VF
zLErrNF*)@TR|80=-e_WlMVD7t#@Z3)VF@y*RKqW1odt4}o#_O76pNv16gfI{0{MLj
zDr*$+H68f^bJS0HCiGyYCX;yquBnR0VY}onD|2fsY6p*K^qo{IRz8vPQiAK#)5mG_
zv*8H2)^{w>uU>5~mICo}w`gvaI^N9?k6^W|adQEqOrFtb+Kl1~C}&~w+3w`GD~rJE
z;VlR2D8|gbKcPDHq7|C2zWb$E)j7Fd&d@b|sd*j~!YgKlezS#M7~BHK91+Qv%tKN|
z3NTM<eNuY@?+L`EE^GZPh8|R??>5wK)V@(@5zgZIoV~r$@VNZa2rtLuL`E4AD`}SK
zinJTW0$xNJm9sRHN)aXw(T{n#z9?aT(w8P5vY2l<*bl?iD_RP`)Ku<aN-b424_W4x
z_iYUPc0Co0#WSo|nnEUtjJXPk3&kufOsRH)@vzye*y4*>V1F$trLs<b&3)?8<*YwB
z;A+rFO*?u*1%tVqw&%JvQLEyOS1vqsMHK|Co4`KzV#MwhX6>dRP<O6b$qsX^ZF$r4
zo}B1*rw+z^VzId-l9eoBPi+6m`R!l6y-8?s7tlL;6CG)v$WYtr#Bz`+_k~V<gmD!(
z@x7T6^f9=LY?ujI<l?VH5iRi$b%#E18h6^0QIWDc?<Jw#zJR|^sM<#5U?si(p_p79
zVKxp@z`i<>vY6X5OrB|kXL<gGt1|5KXWAngGJ_wL%)XoOhN&GzJ65gePsN`(ysC~T
zb|r`SSrRJO^r>)Sk=9ZtAItZ~6rDohF45Aw%p^5!$a9olGEw38jK!=MWba$W=FFC=
zj8DF0FxTF>NK~Z!lZM*mZhrj&Pp5!)>pPMkRmg?A30oQajMSm_OhA8Dbf+uT!%Lh9
zuTvRH&qf84hH}pSj8ckWYbKo7`LB?=<+Ad&8fRn=-pBp6)<^tKj`2EX&?07>^|%Md
zKyG%CwukX2>JK#Qh@2D8^28eKDm%D1NMgyEeG8Cpguwh_6Z9EM^*YHAOXM<D)Ka7=
zOXTBC4&>teSbAbqZUEmOC962Y0APcVV7BU#yoYi7sH&Kj2;G{3iN~O}I~Y|lrXG!y
zIe=P*#`S1^qLrfdz>s;dLv1h`_>-p~?0Wa)s%=P?&-e#5f#!PK%dcSW=OUF&X(|R}
zf5)w!*=Bm--DUto)>rS^P|e{RcpG`ERJ8%XkW-D`p*2+j9J~>SeRI{I0a<&#O(LO7
z#lG2?B{a0~%r~6(VIHlVqbE?GVn%a5)jd#03R#K~xo%Y8?|!Hw^uY$zrl`$8s5h?+
z=inK2UdBS7oX|Ma;AS;)+*65<;78g1lri1f=RR<IOt;BpTDOb7skfbtd`Y-|M+B`E
z;gqc-TAd~Y0xrD@`dt;(gh6?8p_TV%W(ux?;B-{wB`-#+90te(E8%Be#*vx>>-wyC
z#uhDZFWQA4oHFZGm=nS`@vl;28c4nTKoDR}XBTv(jzIZBw`F}~&H?V{tM7W}Vd`d~
z&|0lKipap{9%U<n@C4x}@4NnP?0@eWAx4VSBAzLFd&Bjb=VUuqn@y^I{F#dnR`9#=
zGNMiEB6b6?=6M$_AuI0~JDUgOcJ`&xliBGG(`@7}!{ZDnug%#)5#9@~0iBQ#DLHeo
zMtSzke$cw>C8brqf-8CnuPzTxz;&J4E*q~#5G^yBN1=o|Wp2D<Gpw~oM*@oqK+ucn
z4(*#pg~eurr57-AH84tZfL0Zcs625w?m;j0P~l;Bbt4t0<Oe5AMyB{s++ah9c}fz!
zLy2I=qqWq2dLT88@NCYpJ-I}MrvMe3!W=C=-b%u=h21Ci!Ek}e%$(88+QtP75G;sm
z)767#iScF!?F+-dh72C!Q<&6Z+7UG;iv-BwHr^*9+KAm;*xSw0gNy)4UQ<<N;R*Ou
z+vZ=z{dpb411WmagzhA?+EXT+jC0|tDh2x;fgNH^Vkc^tvw&S(?ocf%W9h$Eb3iTl
zao)KHBF)$sa3=6gIdO7s8LkCg-gd~ox04}=enN&7HE6J8l_wKGy6nI(Hl%+@6k3+>
zx(=%kIE!imzjM#w_SvqD<BaT<EX85g<)S{a3d_@42qde#^6*OK4mPDn^?7}SAo9Kt
zliOI@NdJrkS49=ArvI*AbEcz+k`Ptyehp}pQ_CL(CmHL8AGZP7pD*4sW8Klb*EY^<
zB(q8^JbDgH3==&GUqDuM7Pj}f`T7%UNMz&k0-_z9J+H^|VlB$1Yrp|exxYM{ZHy-F
zlzrb5j{KEu@|a&{`aK>aNt)xMBk>UVKI|Pd+o=y-?M7(uscPIG@Wtn;+4Xc3fdANv
z)kAAaqNpcyfn6*aEfVF`t@ydJ`vT8%ZWnD`A9UC1u5<$C)RQE9QSM={WyT1n#a_9a
zH`8Z#&Iye$L2k^hc3)O#6hFFBx*KbUa4^`;3nO0Scnxj;c}Gq2mXLUgI^+wa^Vme_
zv>lwzpe_wV|9&_pEoA5zacEvxWct}k7{zR4>hieHur&}2y^0g$ya}2wqYdOTV4gFk
z6~;4XB+r#A&m#v7y}0-U)I-sivZ;8DKSp&g*jeGY{H;84ZvII3ik@-(rzFh22X|L+
zE2W49jGLG|h(GQ75>Zk?-Eo~y1rN(AZGN#xEx1=TKB00JqULq8e{ZH{wcg$T$B;>o
zWg(?TS$&#lrO4njq1lRu>thu${cId5NDFhWP>-ntPuNAyCEc6U3p)xvKAx8}Q+y@Z
zIc13<^s+Bj*prLFZZ&}=NAIQicvU7bJw?iL>LYB&w`K2xi}C95GCMfkqmK~WObt)D
zh?XZSTDLgU6@3eMx#9A}LZ-7n@=Zdl!!bDnv~W%9<uFQ4;hmO%Jqd~o{s5C(%~d+O
z+Zfhfat147O+Ufs%~wH9@>}9EGPL6-MkBbUGh2+MYVC4>&$J)Ygv~Xu=p510L4ZFI
z-$S@h$_!bZ<@Z@ebm{cvx=-R-nyX4rmeg8-_tc6Vf1sKE+aT&0va}pbI5HDz5s1hj
z1EL5Y8-6JGiZB8O6c@NRa@Xa!>aC-XCi%6yHeHmfQUIH2McGH;0vLQ>sMn&DQ_5$W
zw@l(vD!YS5e`6TT5PcQYcYCQlet(jFh*(NC#+a@*1$eoE*fDq7r&2^71PvLz@|+a-
z#YLSwD9>>B2LA)!-{wXyTpZ<WvMGidcjUPmsdSpKxbDDS^z2w$7Tdit7scrXLxCZ6
z#H{%2xM<nx;!yJM${%ub&P2`ej?Ph*uOU2gdP*5GE}oYl0Z9reC)EwKXl%`1$BY!?
zJc51db6h49LB>}Ijv8j_k@t$-p>m_j@i7J^zhd7Zc@?9g$ylEfM(MMEt0v(yZIj?m
z5s$Pw0}68Vb&}6?@PQq{<(EsWyGTQUZtZ*G=QDvwY@A)UJd*$)oE<mHbp5|F=%Jp#
zka(;1M?97vz5cG&35eP(cTHaV_(i15YSrJ68E9<_TgLAiSnnJ-=Nbl^=xo1I#cG!n
z-ctD*dfjL<G!&q=&qx$wqm2P_M<{>E_L?RNGqE3bNNA8$&@;QqUH}9WByLE8Pvh@U
zIBz0*TDmO_izv_S8yB-EPp5X7o`>5THh?*k6Oim208iAhNNOl#_z>~!t?-kMj0wtg
z#2>MDg}-6P0U<hBldm{RLe9%m7r|D4J6-qL5;i8ijh5Ihd)?x7-LLVksb}o{DWxGD
z3q5S4x?Y!ajDP$16n9=1P?i1Zcl6hOA<6BYn=emhP2E*D$4NHWcAZ2$yYW5d&CGEa
z?>u9e#PwMR25dU#`QfibIh+R&^!SK=*KGRa%VW=RUyNuuzM--e^R()pq|lqin3G#J
z$8;yiPDf*!H|Ff*iOB}*98W#Kto-GtS4^@3&ecQ8F}r}!#^m}78xc0Drte`{*Mv-?
zwqt8;p~Q&1yqUp7W<C%EimKWAo07=&s!=xm@-40;)YNfk4d?6=*QAhkG|Q6xdO=Dy
zMm)U_y{UjjJ8lL-#cX)?^JtvH3{UdtUtgu0Dq-sRPMEvV+mO7ETi<l30Tqo0c?(B1
zZkB+{dq=*bL=fKEBCdTp&xeW2J#2qbuFW0C?_%3BTxU?D_^0~|t;pVYlo}9Tf{4*~
zYtU;U{jYxOg=xFMI5C0pcwO{+Yw-N^g_H4_s*nx1$bL;@lqZ`4qL)>>A!Y>im*c{6
zng8}W6m?rjH#_*cYN{rQuPyFEYu&;_+S=%=TZMd?rzZB=v%BmUIh(UxW;?A>g<6%p
z)Nn{Eo9*YjqZa^FHjrKhh@fQ7iio0`{_5ccYiZzF*^Vd@3{sa$W@d-Q08g+Xpw_Gv
z)@2ka5e(c2kt;C}&m<c|(~1usO&)w#m6hAv_1O}<y30Ho$s%D#LM`}$SJtOMDl;zO
zG^duMMHDIf4f$ziOx|+rPRmC@H<IKk`K7*c^o@nZr*9V;aSu07g(L>6$1ZUtf~ves
z-tvg7a$cfr`f|E!w_Pm%oMSepeV0MaxiN%Aa>GgXiD#8zmfh8oS0#<UElfVsUjD&_
zfPtTHMpU&tW0(8u-1#_Hb&qHz-2gi`*$Q2)P-g~bZ@gFsdx3|8RK$NL-x^Fp1u-{X
z)FTPMW8?PleFuC~Q4!k7Ejnn76U7O#hSm{`#K2m7n{`R1yL<-LX1i>%S}x7uV^ylo
zFNa;Y8b2S=#U-g&7KQjNxQI7mM&{H#vk_Z(N4jwyPt&r!7UhBb%{!p+SFD=HuNOsd
z<R;rc^SxDi+*}&Jg8{kYD~FYsQ3|VcdTLpx<e~V1)YOqc8~W+zvTyI>Yx$zBl3rFV
z7c=&DPSqDI>bshJIiO%hPuyfCoOctZk~U2I&}?-&n+3~H8S%{|k-IWRU5#$ZI+6y0
z!kSYSTawB)Xc=;&PO=NAk4Ij<8;-d{3Pp0225IHh`wLYf*q`CV6->kzcG3^t3Tb{<
zqN#C0EX%Gx=baRZiAbpj9`_F<wt=4wR7x^4NZ^*4F>!y-@F>NNV86}?e%zmBB<=6X
z+K4WjT5uPss1T;Z<q-mY|I77_6i=OP+~pnjdi&Y_S=;`;z^lp*ow`q@{LS{RvUq2X
z;<MmI-<Rm5BLtt0luAdEV6<(Lp+*)?-PS^U9iI}hmH2T0hPay&Xd~gkgN2pS<fM=X
zbiCsTge2fYjv?5&Q6&gBZ*?k@Xi{UD-1P<pQx~VJNdU+MReO~chssI^u)l<cEbSB?
zQxon8SH6Yr#-iR4Vn*j=Peb@l@X$aVBdkvK?_rUq8IYfaOL#7D8?2_-*fb}~>E(B5
zA92Z9t~}tUTc^z<NT>(4${5g45AUyb8D5VM4aZi=S%kNiB057YkixPjB)W>PiZ#aI
zlq*aKds`%BAH$zy4re*<xh>;v%+VN0t4R`~az2|ae`MreK+VJ3PD#aQ29BQgCUsfc
z?ofg)FgqHPW17W}8!pqhw9e^c=B@dLm*mwL=!^{Vx_9hvxls&ikS<Ib9%)f8d&&x+
zro2{l+%PV28mFa1R8v8fz2=j|r<T#q3LNM>D22`qr~c_;+Vv+V4@iMl&*;2b+-ph}
zt6<$uEVoiR8*94b)NY$78_a<m>--EpXw+mP)@Is&|MPauZ&mgY(iXHUp%fV#(lB|8
z7N;}`!Qp4mJ9Lg$!N6aqc>3G{kRLpro?p|RmrrD?g{{*bNLo0;pOfv|7R#Xom<*16
zz^Qb++@R{fjF|iz1ZNHvzYN7<l)m3eGC>~5ujOuEuE%4-<`)AF_S_OvXdPn{Z3(_I
z`{C%0>f$>xoHjr)edSkC^gF>oT7=mTi?LU1G4(gj#7XHxE0TP^Dl?pp^WR3~De3CY
zdnDMa%@d*0vfF<wn;kS1wv5@v3V)vVg;y|dlEFtuO(YfAdT!RlpAvOTlalg|-|@Fb
zEL%weCbC8)znW=9N?NN4h`tYR64-dPoMYu9i}BDdpJNE;Xr4?#0Su~~Jdoyi)RHL{
z5Vd?hUnd6u7a?xw4vz@p6Kps}RO7RnC+;8#bL77sjZOIe4uv9idWKeF8lg?cMR<Nu
zLC(K$^GZ!8g_F(G<KJ=izP1Ml9EqAD^1S*?8j3~Faf5dmSiU@M*)`<lTB^Pe3Ojp?
z1zdiYpMI0ope~?FX%v;6ifZXq0xoOQp-gGgqFm_IeT#9Ul1EP^9O_x>yTYdm48UVh
zwG05m4d&B6{L)>e!s^`zanQTDs+*Jl+-z|e)gcs&Z3kOqR=b{s4y2DUHZLsY;Xin)
zwD4u`7W2V@(P`9zZ6ggz$ta!OzBMl}vq#<ktXezh9o~2p3N6?2KRJc-oSBY5PA{tE
zKY{lMLB{lE_^wvaa#WmLP_own4`0odhIlNK2xraQdq)?~la~iwwA_1zQr4a>HM^$v
zAG_4IF=`qL?zw#w>k9Od@9CwTIvhlwij5dsd0T@~?Jo=1*N`_&K5{4>hA{`xn~iun
z&_<SGdQz{|LOMrPzCllJWJ?g^T&~j`e{*eWZ#~UO=-lPW7Ha`y_!HYONlSsOFch4B
zQw#wm;FrE;H-LSo$-ye5B;8>GBP>LUKG|s3Dj@?$MOWNhBY^cKtv|5j7-t`^t-`rU
zG8Sa)WB0oA&?F^N^LAaWznSic6TMLlI)9Tjp>p;VriV7W{;ZDk%1~NVYL<(K`X06T
zX=VS9f_MP?{Iy03IA!)AC$h5UdOki|(W8Yk?q1RlbJUcjdqavQ{Ihw_+JKV5boK`j
zT?7y7cbcM~oS(VE?m?|j)2x|NQ;Fl&3k6pw1G?+oGM^qsClqaOe^`a|P0f*)=7Ses
z$13X&N2+B6j2T|cKg5w<cy@ATD1KE3SF*ZbGC8}k+>kmmc5IU@mt=X^@=%ldRyxT8
zR71m?pjIT&s>gpG6KtO%6aG&31*)$>UC&47n@Zu+BLlB$9MZ{Zzxk2^s}puDA(d$p
z*CbMYyhPt_*mF!P)DH3zzp&$i+}s#GBQ2^z0ww}MJGMbon$E=_4Myrt&%Gbeiusj6
zV==tMPQr@}Y#v_b-44<NJ7{<2OE8ei@;fFL-~gA5XpyE{!TS+h#y%_*h1L~3el%s?
z+w#|C)kCumqqCS@R*5ro>jQ9T5A-Sa-fqt00*ZqeU@KmBpbm8(n!il?ZC3ZazUTf2
z7UnqsEy0`z15hw)zx$4cPXYb~o=}L7NrdlC+Dgswwj{xq(5c1eNlCj`lc`&?B`uV{
zi}^*EJ!Z0#*zM_v0Q~k1dzeNs&KP$8)?k9Ikp^_%o%|idv;Q?ZBl`ZG8y5(tR6Q^E
zSwA$&-fk6ELgd>$bz_jnP0=^@1gtF|qer-8aDdO<OaON}wDnH^^;R<8%Qsk2x%AH$
zE-6v9==D)!I+b3`sR6YiH4XsF9QGH=fG|0lSsOirj~b~zh)Q}zrw>Gcbi0-*yw!3g
zf2Xx(H%;x1WGRSz?QHliXB07eV5`^|!tdctsijr2*86w4o8LSG-Z{_3b(Aa<6AKwD
zJc)&&9d4=Gq{c@(s;aW9P{4<N$XPC}mz(9GvJ`BFpb{DH061x?dc>(-$5pm_uVVq>
zd#x7?%<}Mvg{y_8&bENAL7}l5A7j^Ih^pZ81Z;y;Fzmp=NgjtJGKDAMC!!@e!g8?U
z@h5Gw#5R_2OIGk^#_37i47`*?zu1k^=SK6#BL>rQ+2LP13$!%72G$di^-nW4OhK&d
zC~dgte{*8GadC=vxC^sgyOvS&$X<EAz7nHMHMA<JB6KFt|LCc<aXFUKHY>JvD<M@~
zq$x#|U>t3sC+vSWd`<5|X=|C5osI*hKBle0YxcOO3lj8W6YVt6357{(%qp7h2X1C+
zV-@|NoYJ?%eMy0AQ|yNUxrs#exDxc9j7rRA4vktD3R`+S8Pb9{-vWoI9bV)O>~u1D
zJ*S`My=DpROS;Waux@(Fcq#ir$70G7b@gK1ad1}#0pjoE)KG4}45@1V1i}H>`R({M
ztRd$v39>Lo_Q^GMUv3OMcJhKBL2st}qP%A0$y!B!%ga{9)B0UZ?!#3jL*>y2uDU?u
ze>9dqpgEh_xP+K+xh8x2bzV<DV!*TibWMB6k$fansXffhK`fV+;TpPCyPN_X$N@CU
z(4bYb!XB>9!4+L7DUfHrH9apbZlPCg;x>evB_Ao7m|?UI%=c&gRC7Y=WwTfyxObE?
zr3(rYbboW>Flo*9?Tn(o%@sP(9u4H{ZMP6B3-Eo%@*Bm|Cw%MZ9hcH2PuZ$r%@T1|
zri=%wSIC9g25U-~lH7=@d_*ho;}p3ceLb62Npg6r-F$2wPH2HlC=-a9(;o%M-9a7I
zNPN-)7~f4$w*J%;PBG*CSY?ji@>K+$f2rL6Vg4kph`JHBy6|61_l8bxOiBwZrYN@f
z8CSuMVC56w9tc%1=_0WmX=wP$=?TGyR{|Wa1+6yBpi|&ydxpwXF3!wV%3~QZByT?O
z;7s(XH?6EEeoo_<q;$uA%kvYg{HkPnne7sH+f%oRXS1x@)9kcv#z~P!+|cD?`Ds_V
zWa>v`hD=Dxh)jgz0H~8yD(Pn{Ko=j<?-cX&N#dD5-b^#PwM9>5@IjA8&ENlo!-h(~
z`6vdq#3a|Ibw2cG_OH4L`7@qr^d58Lg4lt8v(7uvv-IMcOLJFj-FE%@-c`Yv1b|Q&
zJ{}}g7X7-kv=DSz{YnZvg!w`}!pE$9%o~TQD2jU)9!sNqmFcQ8M4f2>(c5?Q@$kAf
zI@t7<-JMdg9q^Mz6&$9!b>xY0Cz9UEJvl#ntXK-Gc=X9VDASnloJGq=3Ecd!c1&ax
zy>-$K?}v<NddzyfQFJZnaWSSaeGiD6>q$^w*P3e+;t!qrLLtj{#M{<d!A|N$OjA~1
zdT2+JgSxhj*nZ(U=C1qUIp>}|Cf!cMw7kucSAXjzDBDh5eQ*xE-<wUSfJgs*O0h&5
z+W;`nXR;S8%$@5woLYKFJXE8yH(P$w0*jE)cNdj-uf+AE-O{baHfdkfM$8{%wD!+`
zr&R_xAkWsJ9||vlj>kz}kPzTS__wY4P!I&zG4SBpTSg2+&1I;JvEsC1e94X3Af0*K
z1jFZ4c%!Q+7ryG%7_q+-aJ>edtL&~uAst`v#;psn`VcJ76gLkwh1`%d#kIWAD9X7e
zajm4#>U0`+M&5t>t2BtUy@zC0ZSC_L9{P4*cjLOqhgmy`*fcc=-1`CDwlV1ZFL>(r
z|AeQQnEr!OF%z+Ku(15+^xt6}4h~lK|2I6<3NEj$g-QqaFQS7;9|R74jk3M7gAIX&
zWoqx{7TDDVo~92R2oCbEu#<?iO(x(@`r`YN^i$_qC%cl})T#Dzz3cT<TTrC9WQ^Pv
ztl@90FOP|Vpz12<U)%@*N$8)G6P1#agBlYn3kv`N{<0A*S_0<e3^I@(_#qPK3YgZ(
zwN^Z#m*X+PLd)NS0k*dX=5Pn+d<EOs0L}&gKz@h^v%!EBPi*z2{F!M4fFZy+ixwmX
z@py9jSAWyXO?_UX_5&G%*+W6yGW|e9hHnLB_X{{t3T$kTKp6it6VKy;%m)Jx5Mj>!
zNDkbNj*g57#>dR;?BuL$?`EK%7}E`o!`VZ2tpl+N%o0(s$CK^34FRD$dClwPG!!lX
zH(U45`facosM24b$P)D@0fRsU=FiF@*UC%9qwZNa_?LF02&@2ueMMD2Vg_K}zU%^V
zsB?ZxytqBy2<xBa={pf2ncnClJb?+-0ITXlLFH2y4PPAW55h5qX?~Mu3S}Godm*+x
z(GTw!LEV=-J^{jZaPfar3i4|^g>wesZs%y?3i{QjW&DwIVv$x-kebNo<%P67f_>%Y
zqo_}TbZfE2yYbDX!A&`hfAPg$4<bZY<I8Sve$ihF56;~gcvSLT%9AnwZPNtN0pz~E
zvGE4x4n!mdG!AM$^vvCpS_XO+mvq?nRspJK2bm7qe^CJ)&#(^j`1t3+^|u=+uy(e#
zVDIkF`9FGUbO5*>3{(dQgUE^z?dtDF-ZW8F-|f;qcK|O?C_rxW5UBpg_xp|6H!+P2
z4(9HY{cG;65&O(4YHFhQyXw%-8wG{&Us(qh6VpE=DGZ;ee+G2#5CiC6S_gy8>GrQm
z{SUV?fh9O7)TatyiT<lfzpZaBZ~taPAMDeO9(_H@To5SK&uTk7Ck+4fap>-+`jP+F
zj~~cS&hby_-4C7kC_2d7q3P@4&rkcz)d135AGBPii;Kr%A2YxLCjUoj1^kPxX_82)
zzUu48^H^s(??eF468_B$cVL!TA2GfJXC2)9Ax-_e(dvhQ843$VF^DtB?=LkF27>GJ
z&mFG}#{Bj9iM_Al5h3Q8h5fgegasv%>6_Oehle}xiLC5Nt~o&N&%x0?u)7maOd;9$
zVO%J%b+vr@loHfl1+Shz`ZV;_OT_&>$U3QS);AHKFHqJbe|R2jf9V?{${uKa#t$wp
z6WzBUj~o<K5D(iO1MFCm>W07%aGs;a59ASWeZUVq=Q^<U5AxKVa`F`6t6mR?PEK}i
z=~o<1-tPmw*SQrC5D$NU^C&0AeED!2A@Nh09F7X^soC~h)}2^eE|RF1LZ!4zIq77y
z(M>=;TN%w=vYgNQl-43#nxRxO;_k;ymi*vW(lYn8_q7ZvE4drjJVq}PoGjW+6gxsZ
zKZVf(%E!sW-dPc<dDtz%cMyn9ZxIcDsphZU7_Yu+u|t95wK)SP?u);c9_R}<G-c|B
zEk@BGQ>JGyw2r0`<q10K;|dw}ay<2>^mU~U599<?=qS2HZv?}RDekz{PNO@so;Au=
z4qPutODMQV2_)JFzPaAVbPZXR0vtCwx;QaAqg<03uleyt-bfLx`2r*Qji|Q^Tdvv-
zm?9T@mj8fxNXlxf$1N9s2Ih;1H0d&9RLe*99eE#(INg0$FBfL@dkQ?&Jr?VrDnvf^
zrrI!=B$Es<{V0FTyp1lkzhWaj&XPl7Mo7y{<2BxwQ-F(t4*BgZA445VUZnHKgg%Ww
zgkpqFb}}}atRk)zjD)!7Rhkfb?5mQhH*KuQP3B6=O|uAw+v>lhKl0hxnVgt4C$rp8
zxyX(u9p`?Vx1Lh)!W(xb29z-=Yr1&iTCDZ1y2gTVI<^NxGC-lw_gE3E5BHGR3fm5{
z{z0_6Q~J=gIiJ1OafH0qW%97zly<3g2xCv0>MG;v#**+(q8Z_LE1WA4YQIe7WPQ69
z%nf|vdn9-^A^X!cpssOZ1pDx{xhvmg>n43m)uehzTQY)Fxj}syo{G*)bt8udF_mY0
zj{{<FXop2}dL8A<6c+zvK1!+s$=Wm9^qWv`k)u%7)5(wlH-6|$?sv~ZxQOD888t#!
zAp4#I4Lmu!VM;3>N0uemdoCMF#mT1*)WB|MZ!3$}t@(tICJP_QTj5w+{OWs6`id9&
z8Hnj>sRtGE9&eMc-tT`CSESh5rDC^iRo|sHUk<$wd|coCrr9jJ)xT7o%Luvy*%XCa
zpCEIE!9CQ`R8~l;roT?1MT5=|$t0k66&i=uNEF)C2W_KhiSu-!_6`wt4&NhM3WPx$
zSfa<G(ZyH8MGreOgY%q<j`Qf-gXB)Aj&zfCOdV0mA49YBB(*g0!^FhUxloU%C2I-~
z4CLzFy)ui-+YTx0Hj)e!Almy<Mv|ZP#*hG;GlCDlkO52@z8+MECe$~%{EhnPM6NG3
zy#0MAxz{q9-L^H-X%6Y$JHsPD=X4CS#*ghy+$+M3c*wQXN&ffaXirV=AnefH=~Hf?
zxWv(_CKd8VdQ%gx;t?gHD7SU=<^*c@c)8g%@{Z9_G#TxZ;iWfISMooRe~6O|UlFwJ
zzFD0*BP^9hxRyld9h9AliKz;#59yNDzoGshcMWn}i4yKd9e|`;e9lK!rL8fcPyWGV
zIx(%)&-GKAKMiU#H9q3VF8O2mqFAG?QD(?T?^qyCs${IE9esD@*)rnj^j6)D7oA)Z
zE6+qxOa)JP6<AMwsR1{7^+I;cF)VJPEHb|^*K!tfsTEhct|XS0nhDN&a?AKz=G3bQ
z)zoC9t2UOg0VPtB&!srIEA9Nk>Zt|+!VVm-Lq6wiI(iGPPt?FL*ION_f3fNAsNx>d
zaUo@I-IyS;_I`u8%2PV5O_#pRszbDy&V|NTSxxS)gnun*jXogC?Usbr4>_JAZBgrv
zkz)nnvfWWVmq=w7)>*1INR=LOmf$QjOv{xEh4oj%^sq7mvaMl<XDFPB%10b|3>c$Q
z@M!YXS_0w9^Tax|fwoor!!+H5$_>t2H*fH--9qgf1wTBPbpvWVxYZd`HM|s<rOEO?
zcG@rrU(BAp)oi%l*{wEiLDTF%4xuIak7|g6b*3s+w9uoTU{?|nG#0+AqnP)dfZeJr
zp+=Sxv4V-NxvV?Vi@KuGKV-M8;rQm(T&nR7j4yoF)S0y*dcN|#?V67Zsgas9<(V<2
zINZiK>OAK;iVyWSvo%hI>s}qmGyDUk?1dtqiFHyW!htjBghOAVaV)o+a&E#Dodoj)
z){ZtL;Je&b7hgb=rOPPP?Avq)XQk;oC}}sUv;#_~95r1++VG8M^BuxiIlxxdc<hMZ
z_cS<P-7!ccx8g!_k=Dwqnh8-I!PktvYB~A+LrN-P)>k3@FTdwCRcpx&|0Momv~_s5
zt)NOyDG|7y;bOYLVp1jb3rilnC=3|+Q`85DhAg<KiX{oopO*uD57HXE<Oq6sIPhZN
zQP><8&~uSC2BeXMM8*E01oivw7L28uYW|q^bn$K@QJL)5m2DoRE2Y3=oB-#!bl2Xu
z!?M{FY$>|#YDmqPx&b;k?C^4FXyz@&S|CAVBC8%cM;fs3UO(!b>SN9S*^k7k>WyKk
z$9ygqFWyeKi7>t6EUHq=C+MAFqgvFE`q>rjHQ&h_<Xc{MEV-HChO_n7?#^ULOG&$1
z80?GO)jRI&UBks(_0O40Pbu)$oAD@f;+9f06pb1qKUgswXiNVPu=~)-#meAJ#OMay
zI_}NdzPL2i$^4$yn5Hb%QWCB!)M-JNq+msH=}pFZ&(u-RY)FhyptD)1AJ@cM9A+)+
z0CDr>KHANw$rF!<QdrBmGxh{x0%_di7;wYWkc9FzEt7<C6V+klm(UW)8ba@jeg;&u
zT|NgRkT5q{VwzG1*<oG|BUgbs=n~q4g<~4<>AyxGc7hKzz)Mq>wE#1RN6W1Dhc9;~
zi%_(lnwZxcUzLQgCpYz91s$Ad@!r!Tw6e475YTa}d&VVZc-Tye?R!dUE%OqipVNRt
zSu^j=4bf3fUh|Z`Cke)mOz0%H31IDCgvo0~xyDSyLN|RjQ(rjf85OoAb42`7AQ<7z
ze2mJ@^%#4lc&ID<D3HqLrq5{=2R6Gf$#e<}lPPmP9D{jEWFb_WJ@QHMJRo6%@3QjU
zq%^I)B2RH*p?pdrB)eG=F55qDNL5iny>B=bT(ou}C*CZ>5x94oCLrmd_Wma9yD0Yh
z?ANrA^2O!C<N!1m2CCS>HVL7{nOoS+=4XS1`)0a3RSjHQwGXDT=?I+Ybs0SNPT(uA
z<~d%^vQ?z?74!^HMTK!(@pIAs<S4G(De`leG?;GCqJ4=%IWeRDNz55g8?>6NpskjA
zm0ZYMJ)Pp=l^R<&JWhbpZWZO74k0{!gHE4Z1wMary@XU9erA8_*de|6Foy;BU?SrT
z5+3*6D&zF7wes(6)AzYX8Fa}oE=xthd?ft3Da}m|m{K%f{LE<yYhaOBAJ?SoYUk>B
zT28vl$IiO-fJGGzE;nd<g6w3F&?~ASnFEsY{Z|^gt7FrZbU!}~belEluQjqb%3<9H
zmSZL42oh5{Si8L8vtyA6gkh1fa1_z@SwaR+1-Jf94Ys`G;FNcLOIRNML{9pS>K%<h
zsp(^78iH=br_Hfx`$D2l*KL@YDShYSgOYD9KAJ}KBXkdM<|_`XPqEFupb+|L%z}vE
zPrGU#(e*{i_*+L%`si7OTU!Q-{medt@#-0~lj2hLh6R94gOXFIfpXO963fgQ+@C)v
z(g`2QvjY|erETX5$vUN>*&uzvAy^8$;{HqslV5UQyqe#un}X+}*!5J|!`Q>K3?%-M
z(pzRe>-lzO_z&LY<!iv5T1}Lw;VCzc3_%0`RnI1)+$;e}f}u!eC7#1VP9?l`s3#w*
zeIDrCKVQwK5*U@rF|vfxTB+i)YsBWT<(dHfNsCTT^f!PqfJ?{SW}H03-X^MwT2d+n
ze8{TyO3?Yy^t&Yymg>(-HAVdU0mj0toXFOKlKBWHde4L7ME{^tcqIO;lCQWMwp0-v
zhLwFNB=<Yl`lF?5tydC@$kBt)?F0(FossP7v&p|k?#-MapdbyObF>a8LMh4R&u8UW
zndc*2T7=3`q84awSC6<GszG}B!e|*yzmH7ncGr>_$E`s!zvczq6oPV=P%D`n^cSn8
zVf!D`H$f3+yE9Z?`Q&Z1f)V@Gs}Z_+9VzqaDOYKRLU8LDQYirsw9iHtOq`uqJYd@!
z9*MT91zQvrbNFImyg_gZqc*2j3WCuUF6ZV}E>;FLv*~mbGI`on04#|twXIFF#9l7N
zsz3sG@<&;p2|<cFU*6>@8)rSyI`GxSN{ScE_M-8S-1Vjyanf&PDVjiO+{t^gDqz9~
zbxZ8M&vUX=wL^P-PKbtzT2?3T*%$gq!YEx5xUwAt=1Dwe7-EI(l9Na}Q3J2#kmC6g
zKOFluT#}z%|EESnc=irj9_;Yf+EVa05MY&ViDJLs@G^%c2KJ?Y>jl)j(~C{R9OZmI
zj@<&{$)<HkNx?ZkSwHtD*hw2JH@90;*>Yl1Kl6&mU89$O_xIGOXlDglSkhSxQG<J1
ztj%%MR8d1(vf{X3{EDq0y-NN{V;cKa*u?U{f;-o3poEK-)h7@BmtiZc&$Bn4;C;m9
zW(SrUQfXmZH$O`k=;48he@pz<lFwvfK5H?YlgISWy~3fAO<puCazv&+KuG3X|D}a!
zzfQclHLhw?>=BUL2hv&+&xavkm|!yl6FmXV_{7t!InU>&Ep+XLyiW)(+^+^k0!KXv
zXLNhLv1`wSw}g38@?J7fYq@91pWB00($>t^)28i~RgpVrg*l{i2j28z3n8&s2{nF|
zkXOyVcO2oXuQBq;v6gkT?LBrvId8buylW3cY*O!BXNIBz8LA@D0-nB<XZLJq-WyJ2
z+$TRlpC_D(X5-sedk}^^P9#IHV@>sNGL!E(IC@<oN5PesdKsP)V(XDiW?uzxAY!Zp
z+*&OUz_$EeJxa*9+(g%y_}AnUS76S2_cDd*YLtED)hynm1pkHbd&v7i=v~hHl%x{<
zw|n$VuD(mj!<=~PgW?TvN8yU7rTA0?fnMIeRS^UUo6|t%LGnK1;-2F(Hc%NK*TM2k
z_}t6!{#=Fy{Xd-x>*|K&)Zl_Os=8WcoRIHq0k`*b<cs>&WBFoqi`y7Z8!zo&&*M3s
zD4V5iIH_yQJ8K)}-|fI8l>3ZzMs3Ra`Y{{eQ8X{Sb$U>E0^MqDL(n6)nDUYz&Ob6d
z^mQuMkCFpdiP-iGD@z<AR$P~Ne6mYXHuhPoK14EHt;{fbexRttu<Y%AO6dtFZ5F6f
z_+PvY`$4nZBl<%cHZ}!Ql5D!Mr&>2rh2cBBb#cv(6h-o`-11%2%=rQ~-JpW&X&LSq
z_aUZZ;EBsa#K0k1>>k9N745}ZMwx1-DLjwIV22bL{=MXr+0r@EwI=58%{n{lRFy3o
zAvI1b3+*$%sd5r4JEydi4dHzrs~+p-PsoKEvkzR<n5~T2Y)N8_O)`nO`eZT*K^MyB
zo>k-!f+9(&`EcT!$4oNebRMw^vuXmUNK;X2^~bcl6$a2W(T;;6tnQj)hZeDdl*Zkr
zJEAfEoGd-24GS~Df9}jHe3*ZpJ*$?=#qqa3o6iH(BB<!oY*6B9uUYukEv}nPZM-Ii
zcpIV1T+`FJJzCJR3`!MwZco(i$m3@O$l^ZMJfWmN5+U`H*kJUmSo!nUQC&~|O)|47
z9EE3sEGy}D!R0<q$b`6!2M>;O2zw*&{%taY?xi4A7Zi0mStf$fP}^E@jv!&mxkC#Q
zqrbW{af{<LTdzZjEwCR{>+gTMgpavgv7y!MOpUX<(e%o%*ms>vn;P3b_s|;=x=rCO
z_`4tMqyTp~{4kmv2w%aN5|Mnk4qtWySEL0cSYZx>XZSL#S+UISf(4H8UAc>AuyIy)
zX{B%%yG|(k+H}<v8_0*F7m3||EmC-s3JRLI`c1m4FWWp}l}|!6F}OtWj5WqsTl&NJ
z0)LIuWwh#XRa$tMPNFm8V^e0RaL1l^pwdZlmP-V2ZoKmdDCseljw5#K(VB4=pmGZ+
z^v~NrHz5(D%D#2Vjmh5nMu#vo(RHxviSwJCVP_4eWXKB%t6s)re2I2sF;;X4jXtl)
zXRvybwCjq43*Wc$>IJIaFuvFPB|w4CYy{6W4S)S-0fR&4znqbrra{Oz$CAPLrLx=@
z%;@+vQa3OoVl)``W<P*Ts^NP!M@}_%G~;vRbxhnniTwl$4hy)Ob|cr+Sen5iw5gfx
z^;dneV3_JW<BUx<2O6~xsnLixzMF(dtvVlX*v_s<xH%Fe0Cx*^+##J7XY&zOh#sMX
z^YRG2=nS|&CLF%XTF05W;V>&k!Jj4&ER-JOwSCjWo>|tG^>}TOQze^)9=v$s1miP2
zp80lu7`wk~sMEA*|Kc<-^7z%N=|N`iV*&(~DY%w6?17$;r}_&ERh1kmvHtHtP6ImK
zZbY?3-PS7|U4MGm|1ow>F`6}jqHWupHl}TJ+V-?<+qP}nwrzXbHl}Uk`|jMEoa8+G
z4|gY3$xhYtPAYrVT09?vQk%ApltHJI;2TM^mO^g*YRIDS+CufEy2QoNIwXsX*Ocv|
zBb7%Eqn9oU-K4aK2jpc1BK_N15;V{0;|y_MLRJKPb>(O2aI|^G-mQ_tAg3|GmBg!2
z#oi6?<5QOR6_N+vnb`HtL1yp;Ul(_`Z+t5WUgLgwMhiSPKMS{7kh`$R7w`k?Tg=~B
z(1YO{Nv2q<55}UM?Ee)_p$JMZ+L9KaoyisNgf#JTdnkI0#Tu1F+m%vkk)lRJEN?Re
z6XiCqnV!4MSx%_(RTYuq`+q#}eOekL_GkL}FBZHH@&4)f>1m9xCTq|k_7$Wg71I(G
z=KAXxWW}exmkCc&6$%L2xF6E%l*cd|ED%UcnLBjw#jlw8aR(}-3_729Hp8#k&cLS~
zW9CG1kS<h_j@#!!PGh98J6GT+gDzO0P=Z)<PIVCz*&y+Kw$tE0Qj`tMDwD&7f8X47
z$Rk~auyvy|in`&yiVbtj#7xauFKiwf31^-JR3oSCL~N7m`;&KKZA;I0=uIgo(aq5J
zmZ%_nhPvUqaph@*60Qm{;V!BpoO&jD6h3X7Tw-L?45m}~>U50H*yrS(Y;IT3g7^i~
zje{Z$3i#71SD;+N(1G=91~o(>E|lc<O|J(?yM10(o#<UpO45rK)|Y3kRR6XcY8(@g
zekl>q?qh-RW=JwBdiyf!)n`>_27g6_gDLeo=jkYNQ8vx%QRvhc<<#2QMeJ_2(R!tn
zbNF3I=RybXzN|J3@CchZT`9MpVi9-9S6(*%0matXgd2}~Ci+LgD@-Xjo~U^9t$;Oi
zz;IRalQ1M(dF%X^S@D|BI?sDu+kH`276RF+gvIi$?3em!MolaQg_Cbx{{?Gz_Kymr
zEx3iwwfDq&N7_?pn29B<5)+j4KVw8V1gmhp7a*Oi&tMwgFA}3tGK&YUxsN64O^S?T
zt(hP!Pb4ItprpTIi4NDFW;ZnX`MlM!rZSw(kKur<XEJZ?cnZA0qwK<Fb<e0&*7894
ztPJMuZ^x_(bldb{+98T(D;?vw)<Bk$Vww96njy}1w_|=?aqtwiAZQzFIr#Ijdd6zX
zzdgzP(e?uB@`FZ%<YcRIc{hb+fyxA8y+#E&5(y1>XeTi76r|fG0G8yqM<e>*hIPYm
zm{S^_r>4bHlg({^ggAaX&at=~Rv@X9J<xq63&d?2UscL)w#QJkaGsc?%tE3lKYYj9
zG_mM2@6+fwE?PxdSW<V!<GNta<P$Em*L#=w`Q8G8*fb3;wwz^neTP<TUtH(mvnAnG
z^`YN$?xz#3oeL)?;j57Ql>#fXH<FkU5IV6HjpRweYN7MYmxN}R&KI5b6l+Eg&$kT+
z{?)-@ule<a!|y1|Bb`RsHOH%<bn;lYV7px~To*LyLJ$Sq_uL<;bYO)&_oOz!Z&smT
zi8isA;mGe*g(rURw}X1Qa^};Yd%ckwB~%!VgIU`9Mf}P8!S;nfU58aKfPOa{AeGQ7
zw)fYows_QTE!(AaUkYuWAEwYQol~xtD+5iFcNF%6P<>N!*nIH&>r%oB^HEvKBb^Q4
z>+81cO1d*Mf;?Br#J-o(!SyO($+{sAiR$1P`p>V|YNUMNUU3B-NRtSMEawvJ=8lps
z*zqC!(=1LtJFS(xr=&d)xOTbN1i9B?b+^j2hpP5=O)ZW$j+CdQgz%lYmv%1OG;OpU
zobAVB7?IdwSF45Q|4u$e<vGaOYDUPh^c;n-F*P)dQ>ro3s1AdyNH<RJ^Hv$8VNDWB
z!N$c$b?T-1OrhU1VHJNR@NLk!cTFb0s!YzJI=cX(r2G=2>p)c8Tt#=gqo1Uy_uHpN
zpFbMa*OS&BfV%<A)ILkmwk6G6OY<s6FlQV@mc^Z<ZtdG2z-qOc9HLW@&ZGSl!yOI_
z{C3KyD{wSrX$G5RB8NFlvpA+Tq%g)PM{%pGxqsQpI&RJafe7Zlvg_zL{?pS$CXv`I
zOF5A4Zt_(rzF1co1&F6!6S&(SO}CKiv=u-BlTbn2>1ms{kvvixIZpIp(U7$$U)|ah
z)YB(lj9@aQR`JMoxe7bkL}a5UcsX-zp^~*+(|W{lR3s+Et#wO7=_m*d+YsmEp57*+
zY7G6$&I`{N#_GF99vP(qV@jQPW0Tkt?Wrjp(x086Gl{o>!z{KV`SUAE?Zy*8bpuL-
zJUt}&(X8?`<aINN9)KmIRJr2YXMPH|2yk%EU7?%pesY|&MOO^MnJ)Vr>SaMOnN^Q<
ze4m@H^CBG~%q1MhW!zE$ReiArvz53fQKSos=Do)l!vrVU7XLnoTBe0eh#u_FSR%cA
z91?At07G({MdMXOGYqsK3&RT5{dn04z_9P1dMr{Pn!UjC93B<0+|{6x*JwR;IUc6>
zlpEJ)Xr%h{ynYWjv*df6Y%V~#%|?4&Vxes35$j~eN8BTWoIp&7DnW75VYt9ZQj%hp
zu`zGB?kUbLaZ+=>B{|h0n3r2!BBF<(`mJ_p<HcUb1P83V&0x36qbbCBT~!C54Svxz
zF&lJaI1)%dyG2?L7WF)hF*q@@VB4j{&-x<{t8-R$^h0P<wlFQ!{p6Z859IQmt_a4x
zXMM)%(_?mAsY_$H)zCi?)L`c1-<2{H!y`TR%pf0kgS`>liFsj@6bqr;L*_~N(llUG
z<zNnUxM>r*H+HXMdyptKQ?ToqExBF#u<>ZCg}7!i9wV3;&FVcbBR{befk(uokKIPV
zb9A-h=H%icsR571tttblhW$uSMjbprQ99z`Lqqh_O?|(Adzm^K_r|X-R_)@Ht^E+f
z&~1%p$q&pXs%)=-f9hoM>=;%FP`xy}>-TtEbbI`%7Rk1v>rg4b?%kz=*gEI;@3(%h
zbZib)Y)E%eDw3h~12M!EUm2GYLy_pdTf|Qm#h>;2EN{|1&~Qr|FgC;Cv(&om<jY1}
zucKmwF)BDeU#FGMD-i~Iy#{C|eMp=<9QOfm0<@KP&^{zuECboeZZ=MDpn&C=Ez<P0
zM@?!q@-gRYQZ>XD*WF<aEAPGxV#`e;Fp2m-zVlVG5|`{fGFf-3tlf#8Ojezmk;H6V
z+D=VfY&bH_U(7cWM@eHcrne*}B47O7jr>Dknk-kE<P4u(G@6an*Ah<JICyCwXoFbT
z7>85!?&l)6*xJ&0*hlyVsL@IS4m~<kF)NQm3@heAkss(}?BsUnW(F2!%!j;B9vcu+
z)a4yccn$08v45XSrb>2(XvN*h{RbNq?vuhoBbR}~R>=j9$|JjMb&U938>j{7t5c6Y
zCD5q3uL+Nc3k;zM$fjP8c}eB$PfFx8G2REA>V3U#XPmK$J~HeE%A6sDNrc9@8ZA?g
zc><LbvQbrIkoW<ydX(Db-RTvY<q2*@Ic8P=+7KzJi4!z?cDH6jH1gSwJF`i?Mj^Gw
z)ciyJ9aLQ#wAxQg_FQ)o?1qRxSPjZNw&t~8j9zVb6R09#HYwQ|AxEtjKa86X8PNzB
z8gnVFkv?zXDnDGM`CP?TC#54rD<Ybz`8@t6KZXR2U0<_+N!;U`7s@jjEAEGJVN^v3
zo0onl0lbPzJW>YFK-mu80*nRaV>BZzg?tudF$RP?4LUXQ*~oKupfYD~iyb^p;00=q
z8sN?kcnykIw$eS8LezK`Gn`Vb?&#NW(dLW!`Wbmd;W2vusi~T-C^?KEZamXqb5SSL
zM_~mSTJ(9}rcm)<t@y_<w>*<Mr&8K)0B7A9e5Fyi@sxL4wYI*cBUY|lf5=z^HRy68
zi+eWD$-7h2n)vg2Z172<3_fVBdhtAlJOaEW>eV7tvo$rd7qz;Lsm#fYB2Z3O!ZU!E
zl4?aLhzGLb3d>*-@?uVimAq=QK&{U7yP@UtY1ZOW=#`rX4dgvs7{u%@0`$H~-LpK!
zjN9JeJ?aevN^6@yn(tY+ZjzCyfiKO%_IB*RKEme~t2XmOh0dH77oN;;oXLcCNFjm8
z*yI+#DKGj{K3C58Tzx}XBTuMKa`BI2&n5p;crf;GpT6>EpNZJXW&IcohfDRW3gsAV
zN5~V=exb*|o-J99OaXXt9StJ2o1GZ}BK(rM<CyV!?P^B)kZ@b(NIC^2Q~oQ_sxR)|
z8!Wn7#kzG>D!5xKP8Mct+iLfD<A=d%`X%R2?6J8NL;FBbqeA?x|H5Fn{tJWQ;P_t{
z3^NlaJNtieFwD$cEL{H&gn?rex3qCFbs}aIw=r}v6*V=sH!+3d=ZAB4aWXZuh4a{q
zZGrrqqm4x$(+x!_d4!@9+}$k#vnmK4%eLA9g-A%(A<_Wxe|Z?lbO?BcLC@n|Ue?Ta
zVAX3?bsxX=C%^Z#h(u}KD2?HP0aTJ}fS@M#2G>7sg=P~j2Ok6p$&LdFiGhuW$Chas
z>4}jWH<w{z1M&(4^=nvo3I`&Df4U^_kGTjYG>qWF3evzN;{GxEu@C*kAn5+#KFV8q
zVQ@3CAnqAd8%RY1C<XyBF*X|yHME3+c|$7u6Zd?79Ei9x1xR_ofOT5`HYnN)v3UbG
z3fON@;aZ`Wd7RlmHxPPgXC|17cYTr{p|yp-C4}7E+}+(d3VPwQgPT*S(BTIN5L%%u
zf^-Du?1<q9Zqq=k1ik+V)HW9WV_<3r8T@Hm@aYO~1kF+QH4UISpoMhubahCuh|LF_
z-2&2rSOjNLA>Ow%-tED$1_aW<_f3wz+&lbx{Gq`_08UU@*}Ut#U?h145tsvLHqc-d
zlQhjjd<AqM#3P68B!A{c4>pL-pdhwDXY&vNGz2gSseeE~@_E0?1+bmX8-6Z_&O+L}
zc1yhM8Rpe%LK%^q7}z5R3F`jwTcbpDgUS@x>!$n^7;X*a>JaGxhSCk9z)$blYIN{4
zT?!7!*AYXW``hG+SpX9?0}DX(kdTo482mscU_l<3+RcEuf?G?dPw7dI?QfmX`t}mg
z5&<X9c*Ob*<Y({5vs;j7P+)?&y8j>;e;NQ@p`#NR-N5PZ0GtUp1ffrbCv)bB2m7yI
z{^kwP`}E_i-&~;h{r*6H96r{WAyA{g??jLN;xl!mw1uTq!(R&1Ks9M;9uJTn%}!6y
z8l4_|5P5k9!hy@b!MFb7iqJv8$|Gcb$cR#K!TnpO{M&PV^6u|p&@q3k5ZHeTAr*qW
zOn5LRK=@f0eh>cXJkcD`ybE~p033hVQv}qD0{5a!bg!=fi>v_KJKzHN^`KiGP~#Wt
z8s<k2Bn{GhH^{rbGT)!Q>T0kiknT-jy&5Q-&n^^f#0qP%Cb#E0mj@s%Sl48bkQm;T
zX?gp@e)Wrf?Y-CD%>YJnXAtu1Gt~3taQ}^H=P@aBi@%?gVSf2b2GVP{5I9E*&g|as
z)@!5F;{#IA%=!oY+H-Y20(*b<y(blmIKF=Z!N5G2OE6y-WS;K>jE*2@!4Ekt9(#b{
zUi%6A@Gn?{H2@E`2dV)a7z_b&bqW;k`I?^?yy?91m-^S%vb%>qhG+-|1k4xG0|T}}
z+^PlkopJX6O)lO4CaX{2fO%3gF!9y1cAengu1I`fz%LNDzyH=q(*=l$0th~!eQwsD
zk>7N}w)F4%Z??BrHs0SsKdia)pdT2&)~uobfip7;Sby<nLW69pg0<^u$@RLL{fLeZ
z2d@O8I|LWD(nuV)7GP4)`ndnj#p@)T{kz@e*$g-gsD7&)RLf5oUiFxzWLHXXXl%n=
zShR^AH9riUxc(<HrCmcVjY9%gwu=bGJa8;NRey!Qx1=D&Dqp&7#_@I<dWt>i@6#aq
z$+`?Q84kdUjuWLg{rh(;0NyTn!h$xvCMhG&QoX>H8=Z((mN<Q<Tk0C`^l;}2s5S)#
zzbon6*&lyi;gZ<MnANm3D^X>_1Da8`b(2QY_c`#xV*&RoZehk$R3=88O4-o+P!?dr
zt0lBlrRZls(8q|QXY~#KJjqif+7^y8T-Nxf8tMG-G-8zOTA0yJFKqFqiG}+Ys;0`*
zE~LuFWd7ia%|?eb|CDNQ^8MH*gH+~HWhmY7xySQ`*5BR7oaEDr;Y6W1W&^BAjt6@G
zS>lWu3zKY5-sIE)M~hT>A#3EeUpxeuZX@Reqo8sHcA%Nadv6O7IUro=#Gc1-y{Un{
z=a<nQFW?zfKa&Cpqqp$Gx#u1Mdc6md=$)^<|N00AnyP{boTgS1#67Fm603)#hrg<G
zKbZ8-G^fKlIAML2CP%W*r)8HMAX|v@OMhW+OEsK4i7a7lIAkm+JH#?=dmGh%R^{)P
zKgGLcQhH4)kR0=<{!DX3Ju~e)>Xcs?JEbEz%unvwTSIts{UoT56r-|oRY`wY?a*DM
zSk(!zuCP?7UMc$Xut?SHip_pFf@GlPrr2RHH^uM#nA(LkfQ1~N`O#P5_B>s07rIgM
z)|3iV+;2MaR=}LCh>~P(BG2B4Za)8~3M~Q9XE<Rj{Xm2!7iix*nfpzvc-rrCf6dX&
zh6$n~$*xlCxzgudl-TU@21lr0p&l2G0SgU;gbfG%dA+_{(}#CX+e?*x2JRX%E+)xc
z)e0z%L$M^$CQ5i{1q@&?=Cl(vNms4K`3QK0zd*Symd=)wHG&lF@;=0}kr}sWnqD%V
z<lkTvg!FM87f2n``+U3*V8K3rSli4_C+An?4F!OJrpDGr=IT<*<iH>zTR9(8gxFjA
zRjulio^i#=^@mFNzxU1IV;#A;d>{sqV2t~DmFlM}=M;i1Ap{@T87RV@^53k+%6<#Y
z%1%%4MxP9)RlHwPjkyTj*y03^zky{&1;G1$4_F&f@}#JfK0af+z#?y~Q|aBmM{PHu
zxj-Kh**F`OQLW9F)2)N=PsKFV%z5uYIw9&K`k-<2z?W;w1jJl2LmfPJ(V)~VDAZ~l
z(-vT9T&T7QPsb$L$DnMzc6L%R9?Z<WNH?LlHtt_gw0?mtGssL`GP$3l%MrcQtUc=<
zlT}!^ow+p}eMlr%Qr5<6h2&otx#;)%DcZ>;CyPF^U}}2%{36AU3M`<5lrc=@UaF~l
zAINP#t~R={-t>K8uG>G*t<sSSCFy=98`-d!D;5uc;y{-*Il|*yknm3K-HDFl{^Mw>
z$WqvCsG_Hz1T52dI#yLw`8BV>v)#~IS+F95SltptK+K}z`hBDhdO?vTtZ}Yh-U41)
zi^Isl$A{<)ItpgR1j)j+o3~8F!cMl$xUN7c5a=wad76~H^k8`L{^kK`JkkQ@kYm|_
z%V20A^4rn)U#Spj>oaT{Mj%{GqLzT}$&K$K>WAT(0qXr{Y>chF=n;6@T%G4o1uD3Q
zd&tB*EN@nb4OSaQFkxmrb{0NMC8@h~bjGivjhN8;-xROS`DQV-D%UQM3a`N@3+eVa
z@OSpql(rTd{M#c3QuL^ZQS!RlT=qw9eUr}@r}Frz6zpYXCOz8J&oPXsw6z*tuGGP>
zu8Bw#VQG)Q?~+Jp6Lt0Hw|O(MPchH2%GmJV>X4qQ7!hfiepyXvFmfUf>?tO+LJSC3
z;Kx7s4$>1Sy2(EvK;9RjI_R{gYY_4NuIiVnh}|NGa83oKfwMrfOJv$@>%o_IJ}+^Z
z7#0k*>`M;I+qnj9Pn`fC`$~rN#dh3;SXaf0r9;+Ec*4G>n}5)>Hy!uE0^zd<IYY}a
zA1TEBmRe7}(uw~9p%3b9xuqxnyc(PQSG`aAL1iBp+yNP-#~%9-iQib4xdj2Limrty
zgQR$6FPn%{li_h6F8vCDNDE%u*t|!^Gu^64&h7~YQDv6vU1K=Q>TVtAs-{<ZVvR(0
zMBQ?D8~e8K$Zu|avplU+p}(AWp}F=lL>JTMi8FbKLPdA%=0U%51^7+)_>c3gba_qv
zN?ce|>rkIloRhotxWO7KCOP9NNIBef8$?LVx_7?p$O`5eFj;|sqX4(oVB!O(Mog62
zMR_D@r3TmOQ+LmeiC0JYK-ENWKZI-@bLI6z3q*({kz&m=8nKOzaQnEG+YE;uVDLJr
zdf4rk@D<Vu2xNDiW09R6mG^}Sj`g=Y*H4*EmysGTk>WII8|t@EPC_3E$5*iQmrc<7
z8^S_YJV+xJ$$jylSZR1F^|6!Q%riV6NSd`R8Vu2nRit8{HfDqbp{25Gt@1OLyzz2Q
zYuP4cxTwa3RY3ZNZWvW%`z-MfG<6OkG($4A4v(3%4%UHYzZDJWQ^OgF+RN2p->+_#
zL57Nvl}7s2qpaj&AR%Jw_lQj`t*o|Dk*#WpPs8uqj{pb58**Yd8y((jPyJD<C+_rW
zt9J*WQHblo=It|f5&zGeY4_sKIsK?J_M}tp-L`TC>53nwnsXOGl<HTeq6i31-Esg|
z;90~jVgIyt8J?AoLC)1OR`gF;X#&&XaR?`xpA9QrYw-brg(TGv`cs6jehZRf%~@KJ
z31}qg+I38YmXs>f6QLh_p{Rk2m^!9+!T2L4`dWnwk7aJ1FeziBt44~DI<gbJjyJF+
zxzpdETyy;DyEj+eWA;Z14OqV#NT7?&B>g!l;g8zMjl21qcx%qaUK$?<M`MSnDh(OC
z_2kiwBu$T%IMKv+0=}~9vO2|^S+7#N^kFoxXB0LgrVQ>3bKPK{5J)nPLLqGtWw6PW
zf*fv5hQ=kTJNwCvG5w}~%5>eFOdQDt{pLuA=<r32^%XM(9S{xbb+0i$4Z^$E79hNJ
zAT&W!!myIg_UW&iP;D1Du^bum3~quP2APUB+F#!YWTxBoFI<GeB#ZVnU+G-k>!+Qz
zA?moznc$Pq(0za-f?HAdI<JDQm(2|33U@}~($QI`<Q@k9Bp@*p-65oGUgN<xY5!io
ze~Hc<_<eK{TV)pM>;Ml(5RP{KaSyVkW<8_83edamQK7zt!Eyy#69ILB;IV3X0l3Uz
z7x%)?c3_VMO7nEU$>_<AZbWaTapJ8o@P;rEAdpu!8Mt$M)sZv{qgfh$Yg|pkzBlR<
z+}W`%1)84~eN6r;G#_F7G&|$0C=|E5=Git6mhY6?Arfr6gt|Aw(BTA7%Dp^r9OU%L
zBh#BwT<C=G(+UFeLxcTp!zFC0S2*iD@a_0B@vlM-zR0#PP~YQZP-4CEw9eA_(XrhK
zW1aOlI@;K#{A-6l+a^tLt%-WAlPqt+Ldc8+S{!*XsNSCbOmL&e8n1$cQ-4eC2Tr(a
ztg<2a)g8f)Gd|{q*-GY}I{hvmTJav&QfNq9kHD@+rz#Ym9y-5*bpeg@7+RiCSw4y0
zppwLN4cL8Lbk5BqJVtHf_;D7y#P3#N0aF#<9_NBf=o;7Q-(_Ve;EvvIiGky-#i=Nd
zhD`sZda+x~vl4-EMcZvt$QZJS!HMB`OvrtA<PlScQ=w$Dn|$OykmoMyW@RRRP(LD@
zkT-YIqGe_oS&jMwJ!Z)?Dnc+8YGYJ=EYIB_9>&xmepg81-R4UgnUN7yLsuu`o`1U#
z@Wfygj899Ax^)u~9a5P_7~(F2GSc%K@1c6<f?433?_*f`&W~5MRh8ZhB-k`QLpj!4
zhRcOtgnHiK1?l55iO>;^AzUm2>NL>uQ4TIzeM&B0{a93jjr1X20n;T%MGBG$oclSI
zz0hkpuI}hHK=c#7pp4c0elzXy+m}4AL*>WME=MzPiWa{ksilk~WsBnqw5QR=R~zWI
zRFheP=PRv+dSlCJ>#ApV)clDzv{+BJH~PWPC5SPk<#tp)zfq@-1qM3|4nU;{Y@6xD
znVO0A73By!sigDzUv(nc7#9O7r;F~So)>C#rj~e33s)HmNC#W-_%wvo3kIWnhl%{J
zdk@a7HQcCz!RBFH`JX4@(Ur<hZKuZScoMsinHBtES+krD$WskmXWgRT;%|0JXsg{V
z-|I0woq1qIU(je@Ur3+pIm2s^8mXoF!^6(4Vat6+k{yweVic68HLWv4w(O(ln_Us>
zotd?9e}{+ekv~-YubFLF3m^G2Y3fi*%U?;A1t}&vYDN~jS8SKMATK3Fi7roB>jz}V
zm;6#+V#h6dQ@VThW+5UqXg&>I!84FER|y<QSz}FQ>v5&=UeYkP5A|*Oe|h=h8$?zw
zYYks5CedD}4xcz}{_FB+^v@4(xBlJRB?RdHRslP_^{AfZZ(o<J2V$_YYIG!Zmk<n-
z))8Qk9_xhx-l|Q)$UZBYmM^U@T^4u_-ukdDUa;Z5qHKFQBi05c$sIn$cU@Lf($0=B
z6&P>mIW|3xKj7cRxQ`Irps1pDlXr)Y|9sD7(Bj<EHuHO!7zKK-%nH4oX?<kE?b#!;
zW!C>rTR7F*3yZo6Y5d$?mBPGmHiei$xI}eR>Xab^`dEItCJ1SZY3Nw9FmZMD%&O(?
zC6&}jsnpoKe#uP0?00h@s0W~V?~KWZD}|Gko#A@2**?r18jO4m8KyR+(NNg8*G$kT
zdkA38{t}>@Fn2IyGaRd;ft?g>^^pg!L%ns<Okiv0YKCF{X*l^?;;`>0)Pk_ac8EoV
zTj>{stq7-vB)Pe3%o_X$Ou3Q&S0mCkaJ}r!&#!RmY=FRKuXU^Vmrjazt06$D)R1Ld
zjZIJQ03M`oB6OytXzJJwI17v54GL)bg3bNniZb;GO6;G6N4Q8pT<6|Jo&jS)S7z*J
z@lKS$?FS@O@kJ_Hd*NxZMyvDt#(Hu<8oT~Pqwpc^(;F_GS+d^--Q(AW2xN^r)gS+h
zbpDH4W~1kW>}q4*(cu1DubYG}ec@<u6sN#ysl&Vx)p@qTD30wGog=z7pM5Wjrwdu>
zG7I@@oq?31yH!55?+#b)u@Pl#-TwOp^}XU5sid&*>tp|iedCEN+I|N_vNfAx1Oc|d
znjih%<Kvuukln5MPh_^Jar|}}S$ztJ;>FnmbF28B>hqjNz!|t)_>Kb{Ap0!J8xsEx
zQQh{neW~>#;oN~=K+~Y-1xb}KNi;qAkXU%M-4<)2KApMty)&Gwl%IF&I~yY1iw`d3
zgKMdN-1Td-PbbTT#EOvBhn+82JMI07W-p)8zh+y&?mpxVv0w-57UaUwf}h8k|J9zu
zbk~{5;fz8&DDm;+rRW+5h=r}0N>S|FU3Kv+nq&3rLlxnE)|*yq!PML&M=&zjdJ=`P
z7E0p|;N%qX*A%5F4!26kJ}yV2jPL8%{3NirJojChjMw!u%Dv-Ra$Ke~?hpk_0cgjP
z$33K&PP$Gq$dA18^e^e$OHA%dj6F+_D~-@YyPVqy@B>Zw;Hg2b?{c#)ad7uTmuV>l
zYE$j9M_<t#Z!b+K?H&(mNMcSa>roOW`i6#OMH;=pZbrDwsIlPxUX)_bLvllYoscFY
zd41U%zf0-T7))S!jLfm11O&w`{Yj!xX-$2?oo}NhX*A${lsXrTeypK4)kdZI{kOGf
z?L0{!hs%ycH!`A#(f^Zl_>U1a>u%Xje&m*MCep)z0d#;R<(;|`ZC7o>+6bqP;=U^c
zdd2&Fl)Oe{zvkhNyb(q26_&@kO^&_f{*Rhkp@tLe@h;^0A0sfGRVIT@A5_fixeW-E
zz9_pb<Ha<Z7g0{DohPuPd3P*MU)xWuREb?or$4hbUM0UwMiD-nb{@35F+XAmd={|}
zviusoZjw~qvG4nDh{eCZX5e~m>|>61?$WBaLR>1Km8cklR*O}nBD&L1_1SXoa!SMF
z>U*?=E_yNUIVQd;hp{gQYGgUPNFRQCB2E<9S32S$47onjJ3Cb(T+x{=tk<N}qAb~@
zH$$5dyXi0nuSxZrM|v80>=I=_ddg~CpiuiqtPHQbsS?K#R5i~`sUvA^YTH<usS($l
zD+J~JKG#g@cqL+Am#K(rfuge4v0)z+_%YL$siLRE`>k>}t$g1s4u-B-&O`SL8=<xV
zAXv>Fj8TOvMm_`qt2TyuqKsGwaZJBxQej}Ob7ei?7-*Y>Nq7uB5_w3BbMK3j)k?PK
z7~3efw9Cm7Uty`p+BjepI)86P@(bxlHFmaD)F@>?T%8r6dr@w(d0FYfFr*0d8?{X~
zVduzDM5{7toQ54cfA5Bnszuipd|hJ7hKPzyxw{=ZlL$F}mCDiu_P>)u5+)N++WEV3
zX8TuWi6=wrj<9FJKuj_4$N}2UWV6aOfACAH)eNQ2XaPj<X(dL7y36K@bTX|y0RwzO
zeo$wRFkm|A-&Y`=GhMnrlhQcf2Z=-|!fYvJ%L_LZ22wR0Y8c@O^UAUGBJs0;8kSt0
zBwZG4idpP{kAHbraR=pi6v4ots5(Ykr)&;J^-JqV#N8;1_vYc4&Ajnnttj8yp%If9
z^`009$Ud6)4&2N^se+Am2Ur7q%A3!1eSSeKytNJ)%TW<-%~|8|-Iels*!f=v#RisG
zSGm@FVI;|){C^@i&*($Qcf$7~iiByxLn~CBu+-cWK2og=3I}C}2Mn52jYcnMm$Vu`
zOOYosLoW(ZmClp~={3#&%1$-2EbcjUrI*J^wYH2I;7b--nH^M=hFMN*l3qo-W4nVg
z=u>_&eDYBLtiLEUHB!pATBbLRjH+7<Q%v6o2q(fRt-x9}D4p$MP@E87Of-@HC5df&
zhJ;7ChyUVAM0?IR;+$71QSY}sY3gqbk7++|h<^8%uiFv(W&vcNpgGHW@bmLm8Ptc9
z;eblVMaD>62KMWV4@qI6v2fZg5B3LLhd-SuW4^SK{y6>41NW_IyYCSCD%TOgVN8qr
zZ97ep`^Z=_)0QTnqe$an>9gtjw0BRX6t+ZO?eG3TiZ=snGNtz5v((7S?ZFr=g5I6X
z9XSOJPK8GQmj&aa%$%ZtHN{^m+Hui}P?xRLoCpFd;l03JEnT|~%#565>a6=^`JB8v
z3(X6_;*8|-_|thFovq35Ra1!@_1>rUOxau8`bhjCHN)}sjr1T&K#yoL(&<=9oT6>Y
zbfS8;D+EW?kMuIL?6_kEm~ReLq4I4n0Uq{9lp9e-LQ|)P8DY9cD8$SjIqi!UdRT)`
zwXgbJ=1me4l5msQaFJj#*tij^7icoxvJhwZ#9Lc!J9~jY`_&~_igd8uAR{_T;~a%L
zio)WtQgAuq$rSqE959WKQW^(V(-NZy<NSa8=1(FCExxWeI!ZsCu6g3({Yj{vF-it5
zXlU!MMDCi3*j?$wS_W(?c^~V3L<?}U{q3+*IM@;DS@>x_2mgk#{VgxiOR;_Co!EGk
zHjku-`m)4h%+}vy&x9?Ui!9aNHT#gD;s+rMTiW!|E$tomK%UIhi7H(}a5}+sojABw
zW;s-MG$*b9Jg8_I+}k)0r?z-H>OS5Afr`U>|G-Pi*79YiY5Zrt&}k-Y*Y&KSVeV8x
zY%nVHD8Jv_S0=}<uvnJTXxpHW14Q*89OkcEf~ETS!<efoZcOw91vBjk7R;Z_aw1xi
zggM?N^wqBTUscpEdq}!rhw^+Vi%gvp(N0Z1mrc`+bjlO@y6j>zYO&J@2G{)tiZ=^d
z>Gxag-DBCEYY<nPILSs%kaK>DDjB#*=84Cy&ctr)das!iV5Sx)BXNtDV_qdaDdW53
zptdndZ1ybOS6!j^(p8AWj6lKuc0*C}aVB2@p|nk~Ey`$(iceUM%{J?#{i88s0ytX0
zADwJoEFoTWn}dtQ!FW0s%KHrDuJU`?N7Nsp*S_vGGmxA_K?iE~(&IgUZN)GwRUx5G
z%)oJn>qA5O2YTM$B7e^I^x}9&ub>8*6d4mcR!5*N<P9qmhK<(GD<%p+?i{)*Fu25}
z*b*M<rmP=1K%OG7&e)ZhCUufO?uK4uOIKm(#+A7yvqBp3j$L3mdvb2$y7@xW<|J2l
z&yPN3vASe>;`<~QwOQ>KN_sN|_GC=dGjTrB)s?u8rZ4JoFq_Aafj7Qga*D2lSoC6!
zk^NRg(Tly2lGJhuO0KlXiRhzRkbI0sqW)NrO47>sjNgS4d4|8<kIeq<O>CGDB<$qE
zDCGA!mVS~cfQyUi-;4PB)U5cqi2WzNpxQm}R9R6S{YkQ(y#@XQ$;?Ad(q|Q5S8-j-
z(!x(!kE|iKV}Ro7cs3xRFUEQNH8+UjicnD6Zb8GtnsvF3-lgy%V92$}=2zokvN_9s
zEc9YXPlzqQCbrKO1^p2}!>ZWP($h_~ap$Ssz5L0+_ilpP12>Lj`}xMpO7?Y@(?O|g
z{E6wV4IgNHl)Yib?7xHir)aAjsWV%6k3E-Td1Xp+aOdwkZ+qqFbaFZG{{5bL3m6jF
zlMQ^>A3N%^qETG|1<$Q{2Fz#z8ubo;KxGK};ZTH{dLbp~(x&E##38|XrVlAU`)&_x
ztH`Tzt`d~s(6Y=t?G;<HG80+cZ|?OARrYP}SuK)f*O<G1t-8LwDCmUIAo8F;sf(uG
z5<r;ym<#AK!*IY-iq0hw)etcF-t{$x_Wr@5mpN%xd>v?V@#JP8uVa|&(Mq;P_dnT#
zybKiYV+vc$x-X!!rhnDw)7#yR&D1UK>XQA#5c<thYFfUt*y|fi9>tDyQcDvQ@9zVN
z@fLTL-HRi{8~wwzT=f8K&~~tRn}cq;N8WErZ4KQy@{^4}RIzZyMV@Gzrfp6Kk0OdE
zsa?AYDVJ{STiso~a|LE$>hykjWaD1pb{w0z@BR-`8mlT~XlRf5NZ)F8M%_5BRUx(U
zUj8&-rXd=G65*KH^l9rO6ie$`zF;TXqMe-NggoYv;;wudHBPzVpFRN*jhFDm&^(Mk
zw*doR6q7fD;W7bx*tc~nyjAcnH+y5)vcs2s=z*O7D?qD}<qTuHNAYWfB{(9``jgP3
zhpU<m$M$jXlC3g)8Mxx7sjd;-Z}cHDoJ?9#vND@F0C2D+q*GZ@!)zm|Z@xB607XOD
z^Z*6G`8H^~%0)#SZqz5+1Tb>yMQ{qtSwwxy3!J-<R|hufF}-Y_#aM-9-ZYt<`7YD6
zI;})I;C$X&^OOZLgF(<Nv|ZWn`I><}rf{R0s5x<pooLNN+1^nzzQ5=_^;kEbrihe_
z{Rv6Gw_A;|rBRd%T*l(}DV58V5n=$LYQnE^@fGbZ^L6~qkL1reXT-~`5yASB=<O#e
zET#TPcZnu2;ypmNphA4lw-2LeN&ipf4(di~EYFdY_3&A}#%u4<3%yvcl|A^NkfyDv
zm)$?JNEDq{(Xd$;^rONIqPj}a7x|lv7S;_R4DqfB4!MZAS_`&Z;GVs6;G0QLhc5+2
z{i1q@`&vFz?Pxq#w=uIkFRQiXhimbQePl*a-}*w8{_Hz{o>!G>rFy3yq?fn0{c;I3
zgMoa_%03M$J+YY;l1HG#A=<nRU#7i^Adk9}besVRk%&tyn>95mbNW^V_y_msv&Tu`
zSck1=*^(4$>U*!6_Dvnd?g7Fc{;ldB3KBr1Sg;Hv*h8d=>(p$Vb3CE5;o%94|0lz=
z9jXn!XkuCvudlq7!2(kEh*JTzj%9@0s^}Y1H@fDgnq2_uU!_`U7tVD&ot<sHmt+Ux
z>tVMk;pDT-X|5u23RAO-mhxs(2a<a<_LrX4ie184Hf6Ot=u9H^12dNp5HSe-v{GZ`
z9TTb9mKO#Qim}U_V-StYu6eZIA&N=&6J7K|G&Ak7!orRXA-6CwpR?ygFiNlU=n@JF
zJ(|_&ky5hrBs}atIIo(1Iu+0#@MtY4FC$ysF#s@}IufopnFW&rsK?lrbb?5S2$o(#
z^Y>okC*O-D9`=lWjGDVRL2-aSaKiES`P`5oz8a~uv<JcB$p$l4v2Y4RUJg*_D%hpb
zm~5^s-v3mksvEnqh^l*5oboR;4kO%gPUElf5|v(IEbkR(YFY>d9P!VhxQP)4I)qMa
zq}c8`KQNcqmsQ!I`ZAenWy^j18kwvdEHLE)E3NKp*0ZlYM+K;U$KGer6E=~x-il^*
znyr(|Rc@aNYcBf;?b|-g?Q++5uE=hWwqUidw3>iRd>QZZDk7>+Hu23)3MW^r<frL*
zd%a(He{^@C1epD}odcMnOvX82dv4YHnuoTGB9~7S1__s(lzb8qYLj5E!9vzII$za4
z_79}zgXT((?DEXK25~J@_T6|qcd>Hx@yPKf&c8(+^$Z<N(9Ir@gqHO5aHoX}hZnxA
zKHYpH@ml#~Zjn?^a=#bN`@UP#6}Hl<7faBuu^P#qMxUohkF;e2dZmPYf@v>D!YQFQ
z(m3;^-Nenaa2?pFQ)$4|@aqM-X4^}4Dq8>1ceBcUahjz5YZ#Fn`JZW;$LEbPB4gYE
zUO5y}wYFaQh;rK9p+Wj|Lu>*KUDj&fz0VsM8eF!f?BO7C%`{@P1VH-I%j2bc^5*Z$
zA1Xx{@Sj4n#dzIM+^Rhd`EPWCn{v}o7I@=wDh^hFZ?iks{6>rGS4Xy?p7PD(y5b+X
z{h8+uTk!{3Jf9a9AuW}aG{dcf4DmeKH%yw?nzyLy<(_i-$R(1c)bhwaDV0A!pbiD#
zC=b`weY|wVWz`tdt<l6t%!*^~7Ii`$v)li&d#uijGJ8GFC{&V{oSU~$!4Pr7u!bA`
zWL%ggVkVQ_B@L7UyFgn~O-tYvu^if*(I`AC7epwC<~w7~z>(xPZ|$AfyykPkZz|t~
zB!kKAm)sGrxEOQ3s!{C|&6vcl)MHvxtBh)GHY8z5x}L}6VxYCchUKtJ!q8!B=4Ja8
z1%08o{hjnFJ0p-+V+*<1w;a*_sP)k(Ow^J06j?f6^J@xWmfC6i`8V00B&=#x7MqUM
zN%M9vs?#z(WjLXDyqf{{MvNo&;AmlE^q<^)A40vqoB^9~T}CLe*=oOIgV^Fi_&&Sz
zR(T<7d3yKQ-L+s{D4YSU)HYGZQBKqFt!1t$ep5Gv$%f1ok6Rz~0+0d{!0e{tCJ9wD
zFtGE&3u~>Q6L^GTY;W&d`w=URR=G&!p5WCaDkmqo=%hlQq!PuZyG9wkNp3bMUx5h4
z6`TA;Km6!N0Wtfo{IHL%u<sZYpeLb2>QQ24t$`Uzfv1#H*~QrvhIyi(d${&}5}WK=
zWya<rhcnG5<tEqt+{gUYJSv}gSQJzvtE&Ccq?H4dft`e|n&I^NGV>W&!bj`%;@#G=
zh*^_3Dow(aPO|%=p<1d+w778ze7Vt=5uWD&2L+4}q17`jk@_)~3v!wJT(0(}y3>((
zs5g^tl)$(Ta#+3cE^l;{VBBE!d*-X7`2wOb!QPDygU$5Mz21jyJi76Wn?g^Oh)dFN
zP-%YMS)t@dzU`l6k64P<pGr7E{ULw&$PtX?;U#{R>dzRTs~?pYSWzADQgaoH0&&uk
z96_wFK#=d9DSn2xMN0Rac)%X<O-Hc{4_N+S4HLtd{Jm>ige7<x&Tqe?hxqK^m!pP>
zx?_spjq3dg`B(GgT2ARAoN32UCTn4eIb-mR!ac2Uz_oA<d5tmOBIT4l@OZ;<lw|ro
z@ggha1Iu*Tvn&TQGT|=XOG+#)hQ7y~!YWkQ*45Z5n^=}Zxw0NGnN@HlUhUW@*MSn$
zT>>&182G1YCcidbe>nE(K;~`AuWcI!R@jdCPMCF3OV}pmHpA{gw{?TOnV+mu_G&$U
zj~PvaLlrr{;i~vIlm3?q6HAMDmw2^)1<FK9G%4vjZg)EWSLB&QOu!Gqm;v-0g@DcE
zkUZB3!Gc_P2TidQiq*?5YEC$Y!G2bV#k5#sD)wiYGgDN>76w5J&sWohm)(g_&xv<+
zl012x(o&jNU!=kWJy7d4!R8%gEbEu@;2p+v%#{nd-Fs6{M?E$?i3b8sOfnrI{zBuV
z-%S3?sch5!!(=TtnrTKBF7gwabj{DnhqWReYC5#fi>2`!%Zzogtgx`|)$B_(`8lv}
zyR~UMBbQM+f4!}vZTCCB!FvV44$~yGoqN4v3G9E3cEZfpizJ6`2*MZ4&1J@}?^c7g
zWFI~NoF4;kIjo_q`gl+_<wyZ0t_{pG&wmAtHTOuZwnJxzv!_BK8B!`#3u7bAfGbyB
z^0h4!BwY3T2?)47TwnZ4-EFaqSEvmb6E&bOV#_aPA@+9@<<PCUCMD``k8Z}-&rt?9
z4hQaM?#}5737TfFOpb$iUN!YLqhF2T0-t8lMCBjN{t<G-a2K916m9YRfDpU<@Pq2G
zo8=$63@xBf21mN>bsTRh5ut%8Qfc_v;mkun{I9~-D>>9-D?P>T6YASt%IT;M%*bi0
zKmSy*yweCiEpp~%awt{h@DRIFbl9xCk^U77d0bGmQ8GMHhw|aLkRMchIP};kx1|eG
zpZ5FL=oL!Z+}=hXpY*hmC4v^sCfr7lFC;30k&tI<HZF^!MB#|A)H^vVWOx}PNl_M>
zPqUPc{584+6UMLJ2?d)@=uY92(Rp}CHHwgu$bBhp0g@z9`7ka|uX@$`NsPFyDGB`+
zZ3~(&K1-+9ofV@sbm6f7rwKo~fBF0)3${Ggj3<WqM6KFDP-QwThr*5-ZgO81#zpx&
z&EvHRVRh;D!P+IrsRbiP-FskO#LDTliQUA|MD*shBmwP=t=Rb52ChbP7&h#oVr+Ac
zD@6p6fd0OFUV|Q8)eI)v_F@_?g%tNMSoXGYNb?=oMA9ob?A0hva90m4171!M61@|I
z))FImx<s?_`5+kbaB@yL)Ir*Pysg1VU`cb^QFM&^w~H0E>@>4$FilVV4KiN_?JKwR
z&2sW?S|*QP%aT2|2M2dzl+A*vf#TsW_HoU*8=q0Jpurk`21E&%2hrq8*TvcuqDB?S
z7ZEH`>EQIx%ta{$q)A4m3x!GWu6b=PAyC@-gzOzSZ!gQ^ZVf*qlsqrVUoAMGxliua
zI8$#WrGF3v4WIrdy)7sc%?hYOc&Cr6T5=We+$kg9w<9cvco4*Jge&zFxzXv>nk*Cy
zB>h$OptA8fwl}|ekIU6Pj58S%X@6bK&Cd^tHk<Xd69>`D`ZbEgS6z;i2{9H&S(&#g
z<6O6Qe-0<8F0L1PsU}k=H*9C;8Z1Cre6kbcVyuE5smp1H5|usBNxivw13FKDktyrm
z&!}tClrKzl7XRWI-%hRDPZ%Lty0vJ4nJmw1UCwnCsE+CMa&uLsP1%P;+(m?2T$jJY
zQykI3ek?+n&=NY`M=kKssRGK5MD9Iml7Zg3#Qz|Ro<5{Hei(u->Q3lI-<|%K(k(!<
zg!0xuxwbCLjS6sW!Q!w|99+x&^|J6Qpseg>P9QOC4g1r&v7#;$Pu2dZyIkRwqC5Wp
zG8rO+Qy%8`0%BwmbQl?KQi9ZH+8f#S2NvQxxdRHh9YwaA6DtftdK8m<v|q-k;RaWu
zDl#6?<r2e0^wToVu&PmseSK@43U8B_KFr@gE*|$E7zihT0@3A$zru_X^Gt!-&}X;H
zaG7JZIPpbH86%xl3nRL7@+TLO(*6qXS29c|UFY07JeE@Km^S*%v&Y#$2ExYcMG+H)
z*skQ&^pXyb=iy#@{XiSVf7~n<ahiR;@3$>gbzuV5X=;&=NR;e_0YVSHNF!C3Q9aC6
zc8GIFt+KH7p$e9E!nGp5GHIVxt5gC!>rdD(o!@8?4a;>F&W!?wc}u}?amky9S#uZv
zBJCi0Ql$}3168<?vTIQ!I%_p1hS*$Sx|wcP2C;Ww>@2Ew1BvXJBt~R07tych^X=7p
zyGC3?;gd0?q(NO*t#K1|ZYw_1GcEI+{*{aQ5GGqXN_YS#luKeff8KF!>K_A(zvJ(R
zgeS8zCdis{RdZ8==O<o^e$<hW#|mv@*ptv)LW>QEDBDLpG!6gsEkst>-`0C`H1N9G
z47N5qcaf@*#s^RMiefb+Jq#6<g%r>Ork@<u^o>Arc$g?5rVw@h<V!P$-}z|!2q#Yc
z^drNpsI1iafoQD{BzYK-I-+7y0(9Sixv%cLP9VPY;L1FVcbOTOFf3`ZZ{vHbihzoE
zM}lsJuOM!_rEs`}eCUsV!r3cfsMIb!JX=0srlWPYMN8_xOqZHY_D5zr>hzvm#ogM(
zP%f*<a%AbnFx6pFp0$-gTYDu+-u|8ZCi>TC2l)?Jot5c7V09KYX72x?(^-g_Ik=eF
z{^#|7OB?^O>TLhNuzJiZ<Zt}-O~|Ojn;SL=_t*U!&>&v6f8s{=j_!XCv^(+*E*)3k
z^h_q}<ojNAS9?W}UjFs-#x5dvWD!emLSrn+@9nY8#JtSFNN8fx@}i*`2m>P{(|;rI
zC#5>GdkX|W9Z8}NuEm|Hz47#YSa^icV*iZ+o!!CbpL(VdN|IL-EJG7?2LIPg&M#S6
z5G)Fc8zAoH`Xh)aV$N(Vs1pK+C7yKwIDThDY;AULXJzKmCpYjLrhuggipkm8dGY%i
z38e{aGaC;_1N;~Pe>OnvmJ%0711!ZhW+pJs4u~EUH9xbkkQSb}FghAKI4~7BIJTRT
zpM|t<bYlVa8;l3!IyZ1EpkE1U0#5@JC>0ADhhJc1_D_@&+7ugE939Aqa>vlX#tEjy
z+tbaZi3ffSdRq>jQfdMU*Cu!g{4os}4?wz8a0Hn_m;r`;j(^q*p04`y;{Cwc(AdD$
z=+4y629uqk4+Md9)P#~ym*5EqY`xbHgGxi<xCKDXL7k>Sh228=D|3QG!25#z=rMm&
z@Iw-RIc<wWLO?oA^FNt*Q_py1iPpr6Uf0kBttBAX2OLsb*&(xe)pz3^3Cy-Ov^h4u
zyfLycw{vj3(;^yEYLCsYp1R2kQZM-1?20+`o0bVmfbgQDqhr&;gIGX=bm3+)16%{5
zvgz;a$shF(U-5f>+1T2EQrudC^v=iy-1_hT!bivn1d;HjEJz>Ej{=H0%*=ooJO7jj
zAo;VrjeFz%<j(x(Sm3P}_;OkYLSOcJZw$rs{rq@KnfnUM+Sb_S@@WfjkH$$o5mO~k
zu>eZF>z6h(#L^A~=OGHt4^6=tn4ds6I5>m!063$H0^bGb0Cy=(9F3q3!0;>YRDjI-
zdp>NzhdEybC=gF(_te)e5Tt6)xNdgjpBfDi{SJI=0A4=;?Z<#o4?vz%V0vOla_PyQ
zR~7Kb7w`<RW`=$T(CCq`O*#HbkkIV82XP6su7diSKb!)Moz1NQ)T>P`?E7Me)X32T
z=}S6;J349qXe?|mOkCY=yv4sg>U*16+99g6I5Gh*%|QRKvNC@Y?R+}nX!h(8BHjLc
zZ-;y9;{|#bWwa*7-s{VZ4b6cvHMDa&1RHzhlVQ2J1wcQ3a^QmN0tt;keg?P39(BX-
z^YJnUM8@)M>(ieYKr_L8lYbx|g8aLWC!PZ$p12nQKS1@tcxVE}B>g2`10r6zcg7cW
zW&d<T31mDp0%M{9h~Fyme~Z(Bh?o9bDtoXWfih5ekKNVu2gG)O#^3@;Z`@a*fTU(=
z?krG9;-|OlZER40HZOD2H@x0QrWQ`7CXl{<aEiG8lN#U@kaYq`vm4L$f!){-&DzxH
zb9>-VZe!ywRZ{~Xe%RF!KN8sgOzc1Jd5uGT6QFeXDs6Z6+Kbp@xP4}RzkZmT9oc@5
z|KVS0n{x$p@Ze<rCb-wN|5&?(_*y#7t=O>Nyme)FZe|D90vg^kumZvRSic{jeH6Yq
z#o}J^>4CUwdmpdDn%`l!uV_cN>sPn6O@2g={*X1d=9;{kH~`nd48Y(&3%N<l`|JZ>
z*({OX%*<`(20*Pp-|!PqqX|@?-N*nY0_=b8*^7v47kqy{K8I6}@3A;%?_C>t*O%0m
zE)hlc3Vg@7^$+)?FU(Djp<39yNepM~mHIDdz4LYNp{@gk1^)_2&jRdj?))x+ZXT2m
z*{h$|lV=uY$X~@rx0yU$>t6?Vd9h1GcfH(m{xw70??ellyGNbhpnK700Nw+4b@zgA
ze<R?0tnsl4P)}^UpD6V8@~r>umXi?11rm3#mTvRMJ(OQ1{FO%q>X3WkUj7%CL|=WH
zu-t8<(cbw}2t=-=Ztg+9r9Wi~*J5~68?Cr2ZHM&N{{c}zuD{FUw6y^`q%Hna`?KeZ
zUaZp0emmUqG}h2m!KqOFAR#OPy^7$0=Px@?RX+>xR?u!~@*F!SE+oY~^aqy#3D^3;
zvhU-;i~FArsySrfU&?0bBR@xI`xVcV=Ne`%;E+N&(i6hapk2Bm&)?q7p=D3K5lhF?
z!g-xVvKD%1Zm~o?F1W8(sIWNn;F95L;t+!0qK(f`cnBXQNn<a0loUm5eq738qGkZu
z93Le19P1`I=h2dtLc?aVv|r(t7$@^;uV?gA??-^m*jLuKrKz($MOwn4HF0qfm&j9S
zDH_l{7!HBG54EQ?mUE7VmUr_w*j|CS)i}MCIX$nN(sCcwGTDKJ+reCG7G4+q6=LUw
zAqPe9^MI?zv*1g5DOs&Y|CgyV+d0<*SLM#3a<LyyNN~^viK)ma=mlv_oa7_1x3%bO
z+OXB!?S>$*+P&0TBe<*LpT9HMT^+o#o#&2grf|tTySum$G`d+POchD78=^H6e=&+Z
z*Tk#<LrM*!i|5QPSR5&nspWb2ASnIaxJq!QUHlAmLN4U+zE`g-_t_ZrgDGv@)9J_N
zBmUDch<VM-5Cfl<=43U3F!@`IFiCa|#?@Uu&AOq2qk`O!!FW(Ce6fi_t+7dpoJcA7
zKDMKU`#Z#lJ*XsP95Y)Bljcx)t;!5?Ea8`t(d%mQJ^@puRGHFxov#xye9Ci*{w+Ok
z$k7#rA8*Tcw8jbg<5zTQK6s~$YtHp*F1wAo4p&Fih17oYQ=<^oik&+KNvA+-+;3ap
zCFLe)4^s4c^y-S;?Czg2xLy3hp!aJsGG}#6lDKi*`XEyG<YCAqdSp(nd5*@_s$~J|
zK%*)dW1RnN4UxfqAH5>R*2IHJw8xV}u>3IlIFncBgt5BI%yVj*;h|Vb2x4QTMrIz|
zD#P+lca1`A%@;d-{hJ3-bKd1IEAaum^^0=C%!cG{{MCij5!M)S8E+}9;6hG8EEP_n
zHMwU6MWiqW-l+AM2+2`e^I-MbEMBj=xQ8r^gD-;`>bGJ`PUXZM`Rw1?ZNJ9|OLY`&
z=Y}Z*uwF`YIBh?5MzS#(fl8*%FR)!YX`LauXms``rDg4BvUF%UPS1{vCava2G-L>v
z{Y(vOG0fP0rCA{aBlCqb9xBuiBLgS~Aq1s=<?%xy_0PE~rH(4~{5*3pRC*d=f(`Xp
zjxO3*;P`+tZ=Bp$ob$0FJ%fGXro)F8zp3EI7tUVtQ**($WUL+ZVN_~d(3#LN6-JP0
zyHLE(Yt!P#wf8Zt%n6QSQ~tBf>v@8RGkLz)%((seb>g~80!j3liJ8}ZMRr($(7G8U
z&k<lW%%(2)hb%q0Y>Y)Y*)6Qyg5^8fHJt9>4ct#=m<f)lzcw>$rC#3ng^RiRYf!cg
zm))PRhl(5de6;@3#j?}60JUg@aTMdij1c+qFn+}9YnUyi6Os|u>()}o6E(hvXtJ1F
zx^@yCzkhO7^ju<MdPd%DoBPaXenqT6L`CUQ8of|AhU8NIs(hdfOsC`$eY+Z)!QZK8
znVRf5@FKbwuk;mOD6yG~Y>Pcd*M$h^P5z--lnn)cy7ESu7*iRH1ghXMBcAfL-(Wjk
zZP@SmVTzZ1J)=O;N@#wVHb-@7)O~$4KQ7$}i#P;FpH)`{2`*dF8IA(4re?SIq#{=5
zUP&pvOr%f*Lbsaz7x#ysLg(AG0^fvB$qv`PQJ)CL)$tTlsZk!#fro&+3J*$@A>h*6
z$BnDx1}83HX_)&$AO{N5S!9Bj98#e8OqPq0raN7=uV`#NmFi#cqt58+6M-~PC05Q+
zLRqCg5yHz*BFpT|AyV>Zqh^S0DazCF$Q^lvDYHtjC?N@QXlHK;&|fa-VyQ<``hGvU
z^%2Knuro{PhrHLo&%S=P^fxFgaT#Bculj5|QLJBC`Ew^tj=L6WPY*-dbk@*?WG5M6
zyu)F@Z&YPA0i;s22i(wqgh$PeM90T`DA%PuUjOZ=pcDc+f^xr4f6Gi4st-X$C0eT7
zTJkH<a<3^5wR0lwI_kbZM;~qdZgJNy#rJM$9Y9$^WE;APMD-D(T!Xpw;I8~@&gbr#
ziW0^%g(pZAIC6c8GXjr5Djb<X9tM#!^9dR5ylz*?L3(uO9kG{rHdj4%qR{>5oRzkh
zu(ScXpIODmJC^K}hGT~7c63RScMJf9_?jcG!EIQ1dFy-40f}o!Xgj9~qULY4i*gBI
zT|awGpO5E_8NtCApl!~*X$Crz(6-yUkVm_L7`6{%jd09A>bz`_ePuw-sFE%`gz%;v
z<aP=51pufBS&d^}xG0`z*BNLaXeGL{tHo5$tIXZb*>a%jFUvw-Vn|dWZUQXWKb{Ox
zq-*4!nG>zJ+ysw#Vwd1#20M#Xhbsczcf}!UHzJSq#RGPvp%qAa%3s}wa=-QGi!o4h
z<qKsv>eD7q+MKMMB*0WvBKiinW9T1{c)t2n8qict7$1IykAZ-uW^j}uFtdwYdJQF_
zVFJ&w`{CPG>s!r#7$}eV?KA8k>k#p9^cE-bfG@X#W0MxEXXGWjJrnp%tL@P8>+>=f
z^k$-33W1%d>|kd{l*ih+ejP^qu(3-5zUNXPqJ;FDJ7aUkktAi8CRyOu6_C_rxyb^q
z$bzk?=pjv%@z5yH0vJBdO^<3>+YQwIdsS+3bhPawi_taKfWWg<6`O(=5o<3t{$|ZL
z`{5doc6;pJ&zf)CVrAKj^Ac6tPO)s<tNdH~Hn?_O6O8@^+up}Wt~*K5%0ZqPCfvkJ
z6#_l#R}4<W!mcI~hGH)aE^55bL8&%$J+Rn?!m<_?GL0V4+$J!lrZ04$mdBpu6dm}!
zvp7g{!v-|@^JI5l3A>#?tTpkUaeh8CI`*09Z-Oodp=<`j2(fOFN1jfdWR6HXEK=JT
zDu0D8S$R`kLnuv=cY>njep^Lm<3tU2lR&1L>3iMWL@e<`?CS|5t#lvVL9$Wk(@XHI
zFw%S_a2GB(2oP-6^c5mr?|R%4G{^_KChg-J3d9`plTKnLg1(JFYxD$N{K#0u{(7uZ
zWGdWX34y*6$^H44_=$A204bW5txg~OD&(l`q*=srZ_Z>-T*+1NXD}|`sfBp=+{2A7
z*<gWs-zTtm>=zy)nQ-2!+oxQ$H}Y}yguq(}vgHsSY{L<5+ua6nUE?(2Nuot*B`Q!3
zEqWE2b2gHU$Qd^c5PeFy#$Qz6@Rcyt=c97y<%&WdhD>68RY*+;B1j<wfcMF->ctds
zN?ikD-%jCmN?2rlPl5+PI3N(N1k9+pD8?}vg$+<l0`8LHNwC|PLK`m~QJUrW2E)PC
znLyn;nK#Ke$S|9|p8eGLHkrTdo9}RP9R4EfVygv$)-==u4ohYC>6|BXRh&K@*|hSk
zUw^#vB5V|E7%QRLRURFiU}A{xu8v~fpoTYo#tIMka5E|eHNo5NtEhvG);ZF6)rzGA
z+WngNa+KI61x}YhIxLW$8Si(uYbcyOH97pU#O1m6U1BP0WBo##w@nfO&U$DY%7`U&
zv)YwdeG&>IhnYlxXA5&1wKZuU1<UaRQU4Z}0D0@oeWGb#m~uBz%RMa{H~|vm1sL5l
zqfUMjJwpKhLjM#56F6|D5Xj+t>+Vz#BWM@^8$JkY?%H59w61Ue9gV`i=a2vqN$Ttb
z3N0EpdbL%L9~H(Aky-gf*%<OC2+qC+*^eN7>Vm$?+nE8JB_7BytRLNps5<ZuN@zOM
z;!;&A7Ot1+UrY_NB;$=?7^ryQdUr0$GYA+WroocQ3vBJW%YO1>`Bd=h9=p5Jt$OIj
zO&ICer|)psR5b@Tw%+CrZ&Wx+#;dG}{F+(<Br5Pu+wJ)2a6OV?xV1D3huX;6Bl>!L
zH0f!oAfp6`KMZ=&+y;<8(u5<SJ(WE<8aw1+rHg>dyBjsNrxic@vrBkS_$>FeWB~yu
zEa8On#^nTPpkcc@h7RtO-NQWlQwC~64P~kPY&f)Vzrc#voi;y86RBK3RmMw(VuEs&
zXlyrQS+}51PkFr5()%HIJUqc<Ilj$$DZZQ~I1XUu6-&F;Cvq(f&nXdn-)6wp_88T7
zT7T2R48<pIEdEJ;+{)S;8vPQ)*{8i=Z|xr}FHPKd@)|yMo%$<Bywakg4!$1px=Z0p
zcXB6Q)#mB}Z3DC#5N~1Hp;T@`H94HR>>(xTrgsavO!`Vg^=d4gtKqDNx%U^8@ds&H
zW-I}8xrSi@bkf0e!{YHzy+{NXU9BcY&C_$)_6?oY@O-A0-jNr{vFsYvGE*P@l=rW6
zPL1INLkoQMpxGBB9k%?RZ`Uw~P8hFu+QP>zR0-Cd4ovra5`N`|FaALBqGYp7oKDym
ze5~%)Q;^zh<-|>&V)Tg7g>ZMHH@2U^aYZ!2&+Qy1enR7v-ke#ydI(&a>$z`G&Me)f
z%*Mla_rPsEHEb-LGqO-Lgz+Bo16hV+%B}6|e<+%8$KREjt0W0TR0(JaS1Kc$qbnrx
zFF9k(IT8jbINR}~5KDpL>a9=x_96%C^7%gFj4gS2b$~8o%e*K=Lw~cC2Dq%FK^tlJ
zQ!ciEra9BQ4Zp{It&MNP&F}Mp$h2T^vPOO|ezvGi+t{X+Q)cia$FrBhF|HVcieaNB
z>O!k`8mb;^m}*|b58NE627ET9W723stb)4f#*@o!BqYRAn_%hWD79XSZp>CsHBG9=
zz>{f7S=bT5gOEv1V}<_wgV8`cweVnr*lXPCwMy(P9tUi4XlEiCQaQeHD54a%<E5Q1
z-11V|kSRm#k!B0)$n@IrVUK&VM27R2y>!*43f7cdm?JO4WtCMV*mz>|!IZp&uR+XM
zfRNqbj8Pv-+#3VUA%Nu}LCIXj9p@uy?xdlw%B)}#=_mXI7u(4%>6q~gX6nrM^}Lj~
zCDV`%x<z)#d{a~xH$G3j>=Hfjfj}-4y%>W@U3h$AJy_#pTFY`3QV$|?jv75@dsT(+
zSb4!PpfM&;Nr&0~Wo7}Jri`hs?YTAbGv`BdpIHR1O+|iSeDW*D_+Sg?r6C0^qviiN
z7)sYQcQ2H3p`<uY46SHk&Ude-0=gex5QDgNsvqh&sSp~cIFx2N9(||cL8Hy20zW}S
zJ}kVtpCg}xP$vM%l#pzT`*!{+d)bhn-cXCUy74HQU?2~*&u`#|X5YcK6u%&d`)J%%
zmfV|g=v>W?Q4e;~mcb6h91t~8qHQ+%sAvxM=1~4!J(i2`HEn*{$|~G9?K`hnWwq?d
zfKG;_XQgs{UrlXDGvLGRa5r>!@#Vu9VMFo$VNFl_5OSI2A<}If{$uJcVEDe|I#8Jd
z3F|TJ;1XEyqqm!c71S3-SVP4WB?SU%6{^+?OC?vuAZ0StKQz013d{sEecm*?sD1wR
zQoTrz)-i!OmxWqr5y@k-<l$o1C}623C$_xAU6JO~SZT8IlG4604e_C+{5ke=v?2PJ
zk&sdhFqcjzy}@E|90I0I9M(d;Zma%};EYF`KA*0B);pQ}+{uHxqLhM_hsbN+5g0+Y
z`%-q5N)0y}b(%I;N1N4@D}?rKhH%<GZ>PPKgF<pTL4<qJ${y0QpVPh$?MC8}oG0X3
z+WxhPZ-c7bR6@6JprPKo+EwuwO4nCrXJZ~0yLU_DNh3&fES~hCC4me>z@(XzD0ww)
z(+jmVPJL|8<|y=#^(BLHhgKyB=*fBOo$dO-E#4Kk2sIiHNW^f08^1_NFyDnS1A*g~
zcSOY{j0@uSZ+9{`I&hfSllFCiGt%^I>cxO06B*W;Au<nJ0$v8d&ywDQJlAb?4e{c!
zdJ4t5i*IYN-Kjw@D-%eLrburWXB|^}zhRJP6dP)FqbdmWUk&nNW-GabY_@(At7Oj?
zAk9+S_w?mmsFLFN5eb%{4o0bM9Cjr0_|w6QB?8yulMuBFp7e<$wE9*Qra7xqgc2Gn
zm`b`Gd#s@+k@x9S9N#g^a}Ou3p^#UQUv?^9p{)A60>|MqBMK#$J`eHK{8cAdLw7@L
z2~is;<`tJ|gcK;*tpr`-+qj&*o0r5%Q3m#?0JTxv8sx@JQra8mwhTN8m+)w3lqKj0
z!x{pZ%`MRsR^x(Gs56{QbD*-o1d}FT8DYn@oNktl7})mWMFJw9dZ@7hPzF)g``cEt
zFD)zyQr8xrl|-v^q?;)dH-B*hDG~E=(YbadaI!+G2|?KbbwpT7r8#0@-uW7B1$fk$
zOAM>jZsBZ6=2>Zef5v2Id)W#1$rWVA-ey<w=~HNZs<ZpmVftXeB`|d5iY;2d<l8u~
z)bKu~O`u$rvf9A)5|ap_k7j!U3-((sXuEf~+`fp&&%Ccy3AaqMr1oj}4(XH1B2@=q
zANywAMiHL1=AY+v`AF!Cn8|9`WfL~!P*J7m`CqXX5~O~BFozg_$Uu|k{y~u{6%8Kr
zp%ySTXd1QIWJJ?0j0#FyQi-`Hu4Zi<Eax?)q~Vlms0iNdU+J87Xe6L#Drdp2X)|E6
zj<H8jl3gD#YmyTT?v1^9F44z7|FYb8IuS~jjgnK5vTJHFq5~$zh2AUxo|3(+ZxAZa
zsBa5ZjC?q`bIihG4qo!)I0j3_s5KzC>&Yupv<aePV9&9;pni)OsMbOU)*%ue1_Gjh
zb@%nt*;ftyl0$uIJ>lvtBD3OoyQ^b#E(8+Z5r*rjZ}{Cb1KqN6_Z8nR4$}?06N=<y
zaFY!@3~gl6r4FoTJ_p*g;JYlC5?-^$^)5tu#wvB$5elGQmQy~JA|HS%KP}owEvjk{
zK!4XUUsN$24v*B*+th5-JNpt$P?i6hz+O;YLMhMXf-DzG4oxe@;~W7OHcA=@-ZEEq
zQR=fDZ&2il#XF^e5T##lg>YXxIRuQnzPKnQHFVfAx8tW9z|*uICG0OrXFceP08Won
z71o*#E!#X7VRisMlAS3%Hos*zzOGd~K~`r|g6~N47=0;YE%G;Efs>DG<Y5&NiQ!d1
z8FeP*^T8Uf7ZTw9*gYR&5I2W2?1Az0BsbO`)^tbVC3|4)lv(71Q^@u`TUBd(i<Tiz
zFUatugv{}-Jcjv%p~-7x@!MRl(acM=$6h%fU%K<z{aVW=*0}rP&k(*R_z94!q~YoO
zbr9}xd#DYZMnBRFLx0Dn)X@|&x8v!u#az`hfR0)cPT%6}Jb(WBE)#eb>a7p4Vu5g6
zvl<PdrpU-pdYD4iiL#$B>?u?IvG0OGG<KW+<YG@7)V^|HE&F8RJ-rv_SAUrKA*>bp
z-gFx57AcXcXb<M$)?lHqlugaS`aS3>TziFBDhU{PJnIxRj$LAmj_5pY^Ii5$LsZdU
z^7nPbM3gSFeTayl`*dh^Uq};=LDZb<-Q*?>O`OwP3myq5=oW${p{s%eP-dDsB((fZ
zg3bppDdI~Ndt6%@D5TJE(o)|}3!=?GQX!8e=N!57_-lCq(#TGp_!l8&bQ*FGr7WGR
z+!TMVyckE!X%T_@JEFF^&$#UI&X|E16>=w4AFCrMbDg1iWX2*bWNK7Mvsqv|v|dt@
z+0&*wru_;z;G_<u-n60!msK18G>^C|%Nb8yS#Nsh+w2#-bQ3!f+eFF`+SBo70tiJB
zOaDc)1BYCLEjN1S&%;SjeftH^Dm?`pp^T)FvIwFZgSFKaV*sB|%O3D!uN>mX*Bsna
z>zH-jREM?^o^0J@IgfsBvG~Dej2Qy3ajuzl;ax|*RkaVN^=b~^VOit6`cV81ymhAJ
zg?`Prk`y7Fn<QM4zs{x(e0!*I>02Q{^gRnb?H{YBTkig}xEs-+)?X1`20E4v8B;Eb
zK~#l=jqezV#B$LORzDtXYKsOz!JmxgdZxyX!A)*j!eA-GDhXwe1{q!1mnwjc*XI4=
z{{x^|MJL+~+?hKw{Ix0(eA`q^eTg;ima6gj_;>*gVR+a+*y8}aLk7tR%e#W<LRgZZ
zR6K06qDsZ9FzySqQC?<CemtGuIa@>RS|}1-HLTAJE6f_tbqolxOr8D_wy=9FMd`qN
z&#<CKq9x1MZ-^NI5lU~W&fNX?9HSe4Ee`y`Ql?*8^PgtZ`SB*ITbP6zr~N<Rr?~xq
z$@w+2*_0#~LlH9Q7M;wc8|7E!MN<4I^ilu|ib0D_L?F0xeE@j92ee7TS6F^r;bDH|
zZ4&d_k=yKl-Tq|!^jXluE^T0H;Ug3j`<sC^psAMjlV>8etla8-e$)$h0L3)5j{}{V
zpcK#J1509OpuNlIWKC085~*P(^L_#J)zJub@Zfso*nO+u>cURTD#*aP6gz@uY`b&I
z@mRDI>xlvf*DrcD471RwIa^_fi1P?g)oNL2YV=7AmZ}8}iPgfUf##d7bN4jqNYK>K
ziX>MdCY)fWOW*E1DJ-h-UzNRsga=dS54x&eJ@Ue0qb^@-kZhJF3ROdMRYbhF@dm`I
zYYmfja9QB9KF@xPy#iE8kGfD}a7%uEQ)c#rNz)@pZ<_Jk8(J8NbiX&N`AJoM3XT!R
zINFJyWjYjX5wXa@x^7W~^V!2R<@i4SV1$Sk88o7ZNb+K$0G(bk_1h$12}>kylR5jO
zAjt)81_nUdx5#|K4cCdzX*`D>H~3>(4%Vx?JQrs4Cpb~)qGV1g-Y)JOkBHl{$Kv;d
zk1A`bjwQWWo${O&doB1#S!NnF2Ws)=dn@x$T;#+%aN1G7xL57qB(SzUU`rFJjj}3`
zTWwLu7qq5Tw$$g2356ofOTLfo0<`<J2MaabAW<GF)syQ7zntsAOtT8SFf)Dj2yFbh
z@A3A^1mY~iiTu!Ple}96f8d8T#f3+>&efc#pX&56%V}Xd^jHcgTeHZ6Ww9#P`(tE`
zadLOdQFmg}WiCG;i*DbAHC#(OUlZ8}8@LZwzYjX5<3O&!KD0^0WO$9EPB&|^VL6_|
zx9LRC1VY*5mfEEXjSwRveL`7+u`HLAPLqR|9&p5nf9}KbctPKU&R|os?Mk%fdMvPa
zfzBAKOaM5m#M<H8L>7@=!U;q5KGGcb13UdN+|*#DQk-><qeks?vtek(mYK<^MMTEx
zla%f+i<t=xW{Q8f@<LN21s9_*&z$PVDkf{&i|sLI!9+?lY17}v3UBBIBTu$KFsAgN
zj&YS7Jy7N$7O9DjhmN?7lq@oinWlxeW`x8}cp<8jC%-r_%&=GOUg?_e{S}6!F$>a!
z$k+;W|4|4~3&~)qV^@Qc{*3XHJxRE%H7^sh-9&ZclY}1Rb3kGQ?yJO{OeCFMt%f5(
zD7&{g?=SmPdFTNo%>~n2)o$4!=L8}|PBpa^&0XUW3;@Wq&m=Ka+5m<;ivEs<kG=|m
zJEz!#p?ky!KjFlhj@+yRBi+JSf0w%-`kt|0``U$dc&}T1$IfI1DhvSgn)Sv}Dt`J0
z1p#ISWcWW|7*I%wB2H^=+(p<aOh@N>estI<AV6hDmOCT_Bvz}KG)c$#z?rtIT*qsg
zm~kghN)eO^zK+?+AEsnxhAcT^cay^5Sdp`&gbM+D)bHC%eK)W~cul0IpFdiuevBvf
zwxmBpHEaDjoq2nE>QiPm%UL{yyf)fhwgr(uJoupPB=@Orf4fO^Qu6|B@Ng}gP6ZCe
zz2?Y8%XysFtma@($)tCQ$4_K9Z(IYpXGWr{l*$z2LhTSL#C^^d{VXRKgQ-g~8uEHz
zt~vMY#W>BNF9yGSaPAo?w)|mObK18(pKR<P;|i%M>6(aV@|hvyJP}D2xrY^=_vjwX
z3haQlCGW`WLq3_hRwi2tom#%p78qf;;42blCFxRK0+^LobC-T;<J<L&+{KT~#)U@(
zIdP2AE+U`f6NLl$5}!pZKmtWSQOy_jJ!-dSMvCEWvk|gTgJo*IZM8(uL=BxiJfVgo
ze%MMsPve-$`dW(ipYHRb%S>dgDxVkxpxCqPHsRL&*&{@COIT(5t}U<Y`#zbC{6b%k
z1wLGB)eZ+_26<&Y&wj0hLG=trhO@^ud0Z)SCf2-R9P{4s#1(T28Pa!fe>C3(_is7!
z1T%_zt=KDBAd!Qvl`<YJC`_FNI=NnG&<MO?CbEDMp}ppwj}~rp)m0aKQb2#e<@GHy
zG)JFK$Vf3SY}rzy)f~fMA5c}qv+j3tO}(SjrfvtZx;#n2##=lKd4A5r2tYkWvA3jM
zC`)x>v@iZppmE0RJZYuyxP2VKkj8j(ub`$agBwv~2chtwNR$IHmZKBMz!CTg=@KTC
z=!|bwaybT3?|E|Zi7iOkGF^*Axh8oW-_wnn;z(_B5rhnzfdfefE3=e?vc{a0Pk52V
z;upxn&cL^x^ucnNU%Tdv3~x%{p9`U^UM-!9XamEI=;1@RWz8O$%cVgN(3!P8${`OJ
zjN#TMz6yAHLVmW+50&y)miS&SVe8CeBfgH{r^z>%5a;T_kra316jgtKwiGYm{l!3u
zkRy`b<hG2o;7&Z74xcOtD$OxOpceC$U{aQ};wpHg9IO~QS%wC_eze_&o+>dpBnoUs
z>w?Z#)}=9~Z|(#q0+?0pi?WYUg8+L+z8EPdIAb$6hXS$HODu!R+Qc~yl~5`k&Q$Jq
zXIB~ChR4f@WwT1U8`cY7H#OC1=eYbWYxj%kH>LM)c8k>sTPsZz$sOEvar&troqSg|
zAE2XLa6dF8@x_j0&d!HSv)U859b51+B3ft+<kl6@%W6EK!406+`4S&<Fs~5tE|Bp%
zac4#o6>G^7_xl>g;!b+nnP1~rWuye$l;CMK+pWd9jJG+8;z3dhqI3;7au3e1=!z#p
z#A&4X*?wvSAC-<q;>6uqjKuVM#p(M&i_OK1TC3qIMAM`!(KP(amswUKUeRhAn=Yza
z8(iu;Xip~%3}xh!U(uM|I;Q?15pn;a@+9}L;~Z4d0HeBa!PQf<3;R-Sbpy;6PQtT>
zg+?-lPs}I!ACaBqWUb>=Lp2l?PlubVf}$v^y9OB_KEpA|r7UUNI#7L>P!pnX3FWX5
zbfo~{hRGHqz+7Fw*N4wQ`e4FRL22}<eU;4S<%eRjbpu{_D5X&d+4}cMo>#~x39l)V
z)Hlmi1juB9zCnNhS+_2Y<>jkzk{>xq_ahHvSN;6jEL+`yb>a`ZEqn5l4EGE?fI?`(
zIC*%?xdyereDEpfvD1QgCS`YwZk1d-um1(&$<Nml?HDTn>2v?I#3=4%5IyaF76B$N
z1$^%exBcYM`n?<cDlE@WY%H&m0A`?Sl)ChTcZZ<S^+=S*n;!){Y{x^D-3~!;0%!iz
z=S+qr23H?TNrD)WL~hYfZ(GiY7#0>}uMe6kr<2AT<o&Z~wa|~ak)!s@lC=^tjsvO!
z<Zf{{K4|n66m{qid+w<$5cg)rpe+-K`oGrJAcpRVZmYe3w*lu(+W_W`Iri<vLnpEw
zN-cJ(jw+8iz90M!;S%JlV{^qcHhg3R=Gt>bB5VU}5$dpAx5ah(9X0wuS#O_OB~OII
zt!dM7FLy}@Zk58M0}fGlwb0W8wNVHVF)N^pml;4k(ASi3F!E>cl*h<ujGHaq%EuwI
z68g`$YFrqbdLgW=)hU_hYSu1u-lwIB-zStz^!BI3#BCe!2KSCvMSL8;+oZRn-6+=+
zZhT@~PA(X7(KAJu<~!qAcwCG(Om_-L=sn2=172vMP+Zg5)@`31@vha%q6c`(vbRXH
zj4oC2%{Hd>+s4XXEs&z|hp`~Ko?OvjEuh8w^(lC=_}tXDIJR3seZWDs&yd5G$~|?Y
zJadg$-A{^_$I#br(Tw&@D9oZ?%c2?lVZxDQbag-;P@4@~f3C&&Nxr}6(Ig@$c&hb-
zYx;l@5#Nt_g&_NQ_l}k0rn0+_^_U#qC~k1K+iqncniZcvHKm*MI|@|6H`O8>M^=2R
z+J2<2)(8Te6s&rjib^Z-8ybak(J@)1%CqfBr%}`LI{X~QNXuv7xzWYNGdv?M>+6VX
z+vZoX;hyes0(ILB6%iw7k0W=+;edK%*`FGwqRsO7I!d&qm}Jr#T8*629u)veesl96
z_rkv6%p>>prysrP0VL<!*gWFhDO@a4SF(hi2EMOeMV`xyRCwsC(T}y3ZH8<zLa=Nf
zM!xEAm`i3>+#{$ssUbHM*q*T8(7St~it#<89FFNjl8Nuc<f$p`UdZfsA;+obuTcn~
zx-HyIzsNlLeuUy)c|1MvXfqcRv@N^q9w%d%o}<)xyg_qDo>o&}2ZnA^&Ce^escI@T
zYqXNwaq$K`3zu#G;@!9X=tFu)VPyoDNrZbemS<`}+Xgw0pCH26KYU0(_)}JFcQ<e|
zVFuUxM`K%#D;RI?rIgi=D8SL-_l56~9Vzgg@sb41U~u#t$KVfDNP;S2SlSKcVssLB
z>M1becKg=U7qJUg(d@7zpVAX@B)?yayTH2Kcur-$#!LEUTYNi3$y3ArrqMn>dE7fD
z<O#cu_my2`0s^d;CZWd|%F^7gMm$kCf6^w|CSLoCWfX%}p^z4`PLLu|%dlk{ey4=+
zy64G~(@UOU94!DXTff;`a~#qtO~pO!m#X*ic&n9|>q-E6`&XF>T-tPh5`nY@%aDCP
zW~~I$j>O%n%dlNpqo=VbFA1ub!=+g0)j`)Df&fbV8YR?{^DmM*(?M!3kHvW*-<hsB
zJgWh6gxyF<-jPhzy5pwchi6-hjmcjhum|ASV7vCbcF;k#g5mT~87)}RoEt$Eg}tl~
zO}CPqWIyVjt1<C=JC8|t#EwQ(VNBc|3&4<q;BenXDeBfMwbGwgcS&h6ecx2>xoXa@
zTrm3h@q`QRsq%*JIJRsE(g=!MsH|-D4O9vBG7hCTL-u1QJKnnKcTsABDWw+fu6_b@
zL|U8CtU5<$ywR<S8>L(E{qwvI|Cl{O%gX@o@<63k<C#zBmg|XfPt?|AyGLinCWnsu
zHWC|REf!}JeCVF7R$gzmh-vg>X!GnZ)+;M;_mlmc*iZ+CpKaXk7m=9MRtlPprKZc9
zpw~fO)?uDra}z|a2VKSB^+brKabrQ~J)iOdR1vQAW#NR+t-BIf-0_`(_t0IfRz7M~
z1SQJX=*kF5l)j$_h|^SbK0pv%3Uq_gqh%wB<e2r=i6IJia%UJSQ?hxkNTx7nc(o!8
zUZ<L?@5Ye;u>??1RkneY*r*vVVrAOCX8!!y%B}o@Zv^$U%sODyBydoK6YwiHY^MG`
zDp-8gkGyqzC1vC`(u`iG9qfFRB9wP0P#TE?F@t+ixVVPFt;`c|4$B*PkesCFsls~v
zquXyEwC(vN$f_)0m0g}psxB4mR`Sw#!B3Jpo(Zmj8>tfX_K|u~yHJ@-{zBIs3$6Uv
zYng?&(t0%&8gC=j<j+A^lC`Wa{Ee)AHy##lCUW2Aan9dVII?8V?~t7XsX;%QVf%K{
zR$wGD5z9zoUVMKtW6`Nf5rD`r%QTK#m^4hXIQiuo7>mP2g!{BG>p(B?lRTG9Anuxf
z#5>9%%A2CTcFB*_W05+73q2h^Ij`H|+8tNt!J__poimTba1-hc+x|P1MJCz2-0aH`
zXmMc}<mEcpjd0LUH*>?ZTcnPA%s6mjRrN(R_2QmG2ptdKFD9VJg6nCG4_cx>-B_Q~
zyW1dx2R?{`EKHU?X{6laV<D;vItl5fx~uJW+s*N$AaI3a9ExpP=wQ#LM+$IH-?ZLv
zun=T|8D<gaz>1dOaTE?nFu?KQxLntQbk_vvCZC$bMT@Ck?ltsc^GzLF`vlk~a{Y+f
zVSE2i5i1c3wjr!o3(>Tw(poQCpg-u1oAbrR{;hGG6(?r*NEQ4ssq(7CYaigO@Jk<-
zH<Mhz&-S8((GhatvbHAs1OukFPF>6M;Esm(SwUnzv3``@!e863BhkIW|JhQ7Be!>e
z)Yy!7Q0Y>yp~IN;!!ixfUhF&LNr-i`)aKM#Q<<^%K`&qG_tb*8R154VskCUkc{tZ7
z#kcVMn9gmtx`ZOoSRXTF#?q1QesG_YjZb3`;ACS~AR%}84Ay#TD!FUbeo>8C{ulRK
zB{aZ>DCqX=4<BP1=7$}Vlm}aL&+f^>9=Qj2La<&!dWX(U_hN}aB$-$a4o}Y$cfeNc
zcXQ7d(_1I!w1JOukG>Y`YbNcoAl4Y@VC@{?zBPyj&O@QGl;$2f)<P8&Z;?O(a$2uI
zO=<D3V{9beBe2<42-HCb3oay?)zf=eKLGS7vYhHD`3_Zu1J^uJoP95nJ}p;F()ipd
zokknhQ}N_!nF<|w$>UT4l$$ySzA25VMnxOvY26GQZ3V_ACNg-@69>#9a7|1Moqh4Q
zV_7VkSJ+#m_yMW?P~dEh%E;M^4NH$`q*96oI(gufm`y}JEIjQ_yXP&FmfQusNIll{
z*3nM4-Oq*?0uv1(EeWoCxfTyQa9l|fiO%p-hlj1T4wvg(Bd>CrMq+M+bOz+J5T<Sr
zlr-A6vJ5i-fy1lz4u|GEOLX2)ko^@0nX|R%$PxE28Lm&(-zhUdw<|~y0|5-;kIpCe
z+zh+VIPf!Da=ASPlKnp`237T$vCv*gPysQnI?O=yaD6xhGidLbk@dwXDy+y}=o1&V
zssOQy^*~#Lb+bfAy%73igS}P`T;O(y1u3uN17jwEM%wO^MjvY;Rxi&m*>ZAo!`R)5
z%m*>T*!u^bW4&;47MLMK8OJFcx2ssk$%UYoXb2^_lq2M(RTr1-DL+<)rXhq%`;&u2
z#_kA1HKFFcIu=Z0@wqe~JAtdC9txBrj00Qx0;jw)ik;aO+jd6^4(3VmVZbR<e<K^z
zAwexIoKU96`7-d97)5hAk@~cwZ8e2Pb|ad@X983Y{M=rjV6H)hvsN_uS{=8AccJF9
zbNuz2HwiFMv0&F&0ow;WG;M2z7}-VXkrWrAxC8v*!-G=Xh4ol1L3iC9zNmr>-aWWT
z+MPq)-i+|FmJZ{C_YF^J+_}^WJLMO;L4fORhcQ&{?bqs`*=~v5!#)C$9~V=TK&d!K
z1<%{i!a60J_W%njty`7_D_{xC@_I&s9-++Z&Wh%->R1Z#x$3{V9M4=@xAkU!`qm4$
zv@NDtlw*krGN#1xb=kp0<!=qhg}@cW3$uo`xS<&g8*%g=3Vf=phidWDm|gr(!#e#c
zU!zDPEd{-u`}X0pg~V;VY^&VtY&Ca91+DDRB9E1^H;mW4?Ibnl7>?Gm@wTz(rUm|N
z*(D8}#A0T0m}S;%pkk%wU1I#AH5r$jUBy_MfojPntKuqql}#9A{jWhz=Zw1(wbs2a
z8<WD7Oc>_#XPk7VbU1D_c~zW?eh+|D3gM^k9=Cpcc1gWjS@$eIxX}=@au*-JYhpMj
z(P+d3wBvOZqfmd$+wJq;mp<-kY>=q3N@NcVU3}EW4(BO(i@BkrIx9V$aX|Bd2wn0-
zE7K{9lEHb%`-*c~q0=7P%_~#$_2YBr#mc-|9+O>8|L*Ol)@eqReDEnt^Q<INup9RJ
zt60WE{3AlmM{}xS{3w~9RKYnxXGJ7jToZ%LQr`J2zfdJzA#pij1L<0v;WMhY=Tgr>
zA8>4hISB<rpox|n^4+zv@79CrQkMBw!N;jJ1?$n;18)Vo({Tf~qmt*lfx2Fj&w23V
zv3GnVOhRU>>-hoj&Kg{e8{W2G<*Ez`4w&;Hkfzp$_8yCQL8{?`-J>!evy42YR}F+r
zr;Vf-^_E$FQNv9Rf7D9PE_Kl;paBIP6J7ft3SB8l`W@GObg4|qaj4@&_>!4%im<B|
zw2NwlN-|t3i16)~^8IO5JZrD-_CCU<evf*cHx3k=EiJ8z?bD5lhZ9N=w5l?>nxZP`
zr^imt4i#ak9g}l({>eqwHs$jvW_P_3#o;N~*vB|DlI(0%quncs&f000j5ICpH6@J@
zH|IfG31s6h{05ZH6gyi|i^;yJa+CUrn`7S8%NX2->`9j>#l_f(>LA&rv^exvURKmu
z74c}M?0G|wI$q;^DgqJ6!^Vn1n*`+0oUz{{U_7^pF!K}bI!AL5`5-06B4vCxof|AI
z>*Ofh9K&jrd@J|8IZ$;xS<Hg5)ncqn?;WvVjxav~AF0rwy><r-XRSGiqiGnal6Kuz
z;hC~Cd`)nF1zY7@qx0>$hK*HSSkH*C7pep;`t5x=PHjXzsuHM*yb-w5w9PPC3MMWw
zxo%$D+NjrrEBBwA43x`<9C?z*MfiqXKN1t##;=>2L8VaX);M!dku=Yqwa?g=;@h(e
z696v~EOZMZIJFFwe~wzDpP6&Z8s1rRr6B8yh$6>9fwhHGMe#$$f{%Kx;4?ET0foOL
z*luAD6CI>rRQZj`zF@BhP8ZL2+qHlrf~^(7QXksKr-`oxwd+OrtKW35jRR2vqVb7^
zz%j9-^&{vTzN|KxBTN?W79QwvY&IyfL+u5SB|0+6Nxs#ihNWJ-41O6U`DVsrQfc{W
zVtRD~TY6Jx?3A~r8?_@_0Z)(D=qj6qe(9z{nX)pxJ@5!s0r6EdOtI-YhajQfJ36V%
z#WVvhr;-~r%=&8*E*!>8dgaSvAzsG=u2z)jY7ckONsSCa?{Q+dYj^h%E=h{wMKCr_
z)5MPwJ0bA2UEO|-K}{NjMO51^WRU_MotJazui#}2h{*Inj)VMx5GJ-pEmjc)_S&x0
zV)WM!gV+pg3m>Nn(Yx?HTlw?R5NGLlF0by7gGnzw*dsfLl3yZLu=n=FT82hZYB-Sy
zwP3WYA0dk4*`9)=qxDJ)+lejnbBTpngaS)~BNqE?^|gq&6G|f4)!q^ZKlfl!FK=TV
zeHdO<8Wzq>VxAGW&DDNWl^iRCqogVsUCE!5u5(EPB~QGN!Hya~QJr4H8}r{d=XRD}
z!JwQZRDDGOm<|g}-|ILae4Lc;zuXdsTAS$3n|Uy-JMWypE?~}CjAIaI&)d~$>SfUa
z&tk*ha;J-|S6yP*d6Ikc@LkBgN($hB-Rl4qeVZT^_?($XskEGz<?<+$C7&{EZ-&V(
zo3(v$T(k`Z3qtc&0X9Ay>~AvV<`HGGqqKaL`7z0fY2)FiD}0d1`2^*6_I=&aPcZ;r
z15HP4$n(B?NeR^g)&j#~qaBZ*rT5(lP|}o?%-!oa?v#+{J!3CncDl>q{XNJEPR=I>
zQlvN1lzzs3p#;#bi5%>PJ{SpxN)>JOyHoCF!xHjL0RxfrbWu?G+{ZJGJY^B7lA(am
z4+qx`^1`G(KOyo=J)wk-LFZu_ymNkyNy$aL5YBxZRqieno!yOD2#WJeyCxs8VWrUM
z#fzJ_dhr-PG^5C0#f58c>J!SXUuMq?fc|oI3gV=_?bJ$Q?vn|3xCwR{L;+*-RPd5~
zjoX%+o6_xEva>1@)vKNcG=VF66%=R%Gbm%dYC@QEVn44!g-58M@%k9sLapWbt<H6(
zxH++j(?6adzv=~=yP<U(Rwi$5!7`|Wd{<+QSylM_7{21ZF0u+;E)GnvPZEWx1>PoY
z)i7@LKDSc^`8;Jfe9!x1=5u+Fe<2sVY$8rDb!TIyLX!9Wteny+tR|t${3&9ckxgip
z80!az1-k|k758Z^BL)hhPdzDFaBYLy2_Ed|T#SkNr&&!%Z@F#cG8a@*JY);)nsO{m
z(m*Zm@@^{9*``PlAW_Jeb6`W=V9rbc2ADGQiL?%E(z7ro<17tImn%jMR?vW<qM1z@
zNXB=4R_XKC*HdZxNo~dwHYjO7)zJ@WVAl$V_&=$azK?O|=`#=m#wqxwyg9|$F7;vb
z_RsFD=nxCwaLXz+@yLE$4FAM!<3GaPH~P+$6~J<JiN18x)d&~(WaB=NzI<W6{g@+V
z#N?NS^cjN%y)`;!&(^_#7|vnB3ZXi|S84p`V3J(@s3w)+EG3H;*Pgu|5&vi9{7WjR
zLS!c_!NfX^r=gV}pg1vlu|Iw?z-&%VlDNMNWaCl%5Ij@9L?`I8ih_}|(@y>#%wB^R
z`7I|*-NNrnHmO^C;X)G92h;)5t5oWZlqq4D-XeG$qhPP1%Sl#HU57TL%l6YQ<exq-
zkZ0k5A_Khh<0e)&$5!|oN)dkBZuOc?%Bra0l-<^F<uzY)(cq6|Ho|O3LlAZbI_Ct|
zN>~~C@KG}-?4Lpm2cdf!?{x42AEj6y(Z#yjzKneiH4wm%j<>Xrr*St@$zr?%)%4fW
z6CT}xw}c9KZZjM-O<e@bK91uqh@ft2b??QRh1r4bi*&X6QLOGbb4wyU&pxb}GI#PM
z-l#tKIR{i+<E6d-F_Hto?;L5GnJJ9rzyN00v3u$4xVZjgHuhwZ6{OQ%At$nMDb9f?
zn<t&wiUXc=T=mjv;L(udE9RLSZnWp8A7N!E{2VS9SEo#0lOM+FmVBks`Lfm6K$Kn4
zahR_pVM@s3LGmo!J)`keb-Bv)EC<q|uV6V;3GQ3Kt^qW1f8yPAkiI7~o9&bY=lyiM
z3Ro0(05jfLcN9N~k7p<a6p6Y|uT6KmiB8upWuq{s55H1$jb=kCJUFsU&K(oSv)E_;
zqhiYLERpSPpilQy5(ro98D1jcbiHMp{9bG6+*xk&Ifq_J2Dwpkq7~1qO$I-FR0ZBM
zHkAQ0Yg%yo9jP0e40ndQ&;}w)Uo|8#MJbAACXRMFu-yBMu@~fu0{C;2tSj(h`IE-&
z=0c;<l!0-d67Q};y>-7w+9SeC|9ByjLAmVEd{3T!)`^$A%6+jE8+dj)`R*h5sr;nS
zi@1DzPhCslb9ZuVWHsH3w6D{Szy^$q|Cj+@F)|29Yqh2G0;umOF=j$4Cx40ptwtXk
z2j1h840z0fRh#g)xTu5X#9sWsdoVDv-G@6=cSWq_*09kem~SxR>1`NOtWswJ5XML`
z=IGjXxv888SJrF<EcTmX&!LX`s$EM13OpgkZ^xKwi;wkvP#I)8u`m$CWuJ$weQ{fu
zQdI1EFy9OdwQf0L9%q`6zSUq2`(+KG;!4cwr}2Hr%VgDNJ$iO!nh{?tltT4BDoU7R
zGfl46Hg}YHC5%Kr9-d=EyhDt*qn516#f3%4hVi4?hR-+KoM;Fahmr~v?FPBl*<<5J
zWA`2)BD+p!D0lbrLmVt!k?v=7$wpKm;NALgr_dq<gQg^YPXdOo0~td$oU>slT6DeQ
z@k<_nX6X7>V!CG%Sh^mIxgW3)w0mtx;#mc$u@QRkaM$(~yJR6}M!TJ0S!(}_%22MD
zV?m@91@6hRMg6eh%T5{x1zFf#dsj6XWwNe!E5zaKRp}W_eM8(tUwa0UioDjZ_KazZ
zvX|)xJ9JkuZSY#?c#sWfMeWw(v+mi7#{;a<o#xSnGu&B^hjK$K|L+0%k7~WCFZ`$Y
zuWIfqyR{6bjr3I475N}imnxZ1lKV?t_)vExIfJhfyKbts=Eoz=mrtL*U=nJxg2Xfc
znFudJK{q1#WfC9#den=jxOVu@W*)Eha?rJnSINC%(#Nmsx(Lbl6cLT|(iAVux^_U_
z2cr}kpmSb+u=?;t-@wCJs@n-CSQr}TIvHk!^>Gh&hz4%&Y$hdDP(Nv4gD_5)@xk+N
zxoyB2bF)5Nn^M+(jR)uDV(oBO3rooj=a*&sb`Nb-j4eKSnC(78Mv)*_4YSVJSt=xn
zrpkVvD;YGbdTF{>`Xk2PaPf!wXQ6CO6L%tAUPLqoXO%T0deJ)iPsfHbzP;W^eoc`o
zK^$JyU}5vnTl67IM<0oW&t*df1jX6s@+w6qzO893rLFNnGw4mx-~?q$@nXjeFqnC9
z^IawS_V1y6%Dj<2KHQRLWQXloQyS=^zE1h(f*UFzDrD|6)zaTdsrmD4+Qtm`3*)qR
znZbxK*ZQZi?eB?9XoGVNUv0!UlsY<FsLg3uqCKPU1pv$$!!P#W3!6}YF9+^EVad=r
zmyZ2~=DYk<Kjr35NOW%8m(V1HQd|mp%|IWB3&LDWtOEyCgLEU=t>mg?P~d5%TTXRG
zL<l+ABB`Fg<C&PtHqst^n{RRaViiWgk#NJBF{7ET=W+nrwU}5~e9&7uQ9`-jH??na
zl{wvvj^F#4oNS--Tr{W?lTml%7ukmz=AMAc4|sC@_CA|5cKnrvh5RMKlX`A*I^_AR
zlw2*a6Xr&81d~J?ttd~!VFfKAs$_GU+k~~F&B#bhIy<Tm8ws5;gncp@I4xh!<N79x
zS?aw(z)we>hYgdX&HVX`94H?m?pATP7CUf%&TTk4^4;Q0BO(rqUx0>Xf@de)RLg`#
zgLWbHi@HHEx7&$EF_eo|)~6Dl*9wZbxQ&nztYz$p+fuf+y?HUPG;Cm2^VHIH=NDvL
zh{WmbB{4}I$cbt$CRIBZXXZq5I96FapK?wC88T~KJ%75m2?cs~PZj917J7WP#WwTU
zE2DzX2uwoO<7YqJjnT-6C4QP){C@(M1!($fUnU!(B(KGNgK;0rBdU+yGggXJ^Cm*K
zqkWuxA`%)^SVjb;1M=fV@}*wb>lV4YRY-MX&Mi}<OGlP0yv+Jx_^*B%&akm*%I3UZ
z5qM<}m8b-}XU=8&?Qip(*IdBpi7lnstps=@$h}It6Z!Z`@7Gc$0ViwxU&9;IXJovY
ze1MTK`@}+LYEx(=NxZ7kJL`!sy_j(h1t#o?$(UVIXZvVjACKuo8%UFv&iK2O=QX4$
zw}ZeiE>V+xYoI|lS}!$$fO~>*zJ84=p3;C>gk2jI@TSg2L_#ss!BtHZii^sF8nbNf
z2cS}=H&&4n&7)J_DCK0alg`*bBGP`|z{ES~6|CY?h{k<P=N(U1GiWf+t3&24`cxVz
zZSU0z&=-eS6=txDi9ufLfjVjbv2gOMWQu+EVEn$}15c9ScoNupkW#n@4xHX)=)p7&
ztV6`&cX07wUs4X&9(ny0h}8X6oJ=R!TLs)K!wx~|OJ=ps9)B{pr+TMREWiz>o{49Z
zyHIUi)LbU|65o<Cr+RV^^C`$mg@w#IZ@7s3@r>fZcbhP(BIeX+<(q{mL+a@n^EGqj
z>(Xb_f|q)Zw1L!;NLKm}b@JP2ird=Fq--^3oCZ2ddzZ;VHq*B6Q%_1}QsPua`H|H%
z|6wuI%h-qyn1Ee$rsM6=EhpbxykgTQB)#zhIXBd2OEPWE$DD5z$Uk8HdO=C%Vi<-N
zP;N8}#_<IXZpi9bZX6wM`2naY<d4imxbpO4xLy?v{2oAy^I8NyZt!+!*lCGc=upbM
z#rc8hH~wdkq%VCP4o*?tIA}rDd_9O2g1%3mv5`=Wb-?g{zT^_yT6YQUSPX%7T3g*m
ziW8x4DTqNKom`QMbbH~4Fs>QvOWAg*Vf<=p@qRE<;-mcO3jgDk0LgCKBg<-1Z)oXz
zY%O)g))L2Wlo7%gkkyv34WIV-M+=LnmY|wsLPwL{F3)CMk-Qa!N7iGc!LIq&P*%7=
z1z?9`(!qW(OsPD}&c&?9*y4hcDzTvT0=e&onN?K{JVpb{Hqq`%_@!s2((Nq<ZZALI
zWii5qXV8~tPOLK6Gh5vAXN}+Ud?n)MQIbM%a&}_$Bze(t%g7Lq)D!*P3vS$3Ch5-@
zq}>=nJ*FixeSiR!X(m9lS6ewd#rP#`Rs(S4P(M~+V5Y(5FDntLesNu7F+eOftAYr-
zyP*+m{8T4zOSkBan<e<^)M@1t5PUaDycb+;9h0{kIhaD!RS7bLUE~5X%ju)_rWWbA
zR(R<7L4?8p7;?SOh$i3#=OKT7VCKUyK)0)QF(akT>gM<m(^4khq@y##uY%t9>e{w2
z4a3vshb;{f7hcKIyzKbB+ctQg*a+?M)!0L=T3?n<{y??iBENx*g)VR4rv-hED@MBi
zf2Mp7(W4m)hd#1zt53=aEPDj)eRWVA-?nb>;O;gAhX6A$xVyUqclY4#NpMJTcLF2?
zm*B2La1RzNxZ7ZFa_>Fwo~qyP)j6-;`|H)K+Evrtd++W&d)C)qe`|KH74IsolKVP9
zaN3{M;swf_X#aXj>G`|8s%PR1$u?UPAhhK+piPmML_s2qlHjeiEIizijvg#wEa6kp
zZeJ%}%6GQpKE`&T&np3=UK5B>hb3a<F<&wES(@?;Y*wC5nF(oz&-W{=^chN6rAKmq
zdP0a%f03imXe|z)I3)OboKKz4I6{Sjbz*-y8r;Q)FC|UXXMc4l#@m&=s&$0@3=5o#
zL3m`{*a^6(37hmtdgD<;cayp7#(rNdY^K*xxwdbWqJo=sd4JX%PLR}#wI=gvY{Z0W
z^2U?bN7yKdRW*0_#8Ze>ef}*RW++*(#B>a{q5&zZU2J!K>oy<YuX&B|#Z~kx;JrX;
zB4OD?0&0GB3&wO^ok*vKAdjn#{`!5XbO%*4InP&=0G@k!?*kuHL}h9-BqQ&iWVhj<
z=I5INjTI$Bc$&@y!P@G%q*5F$j<H@XYqlr6tMj=!{=W<0!}*s0J^)@Y=s$AE0s#Ly
zi>#Bjvdb?ZLEG*dAMBJRgnlnMctVNV3!1kJPTCc-#x$T6xx{>&;-gNJ1e35dC+z&Q
zi(B6TD#%Jx+L)B~(GR5_*&oJZ-`hP(GK$xlKCd6MJB*G_f*-LhSTy76b{Vgy8ny>6
z4@Hb@4oZ)yU;C~ke^9iNnVY9`T0I!htj2B)=IUhFetRQ3G<>W<4Q<JAO<dc5GL<*^
z!DV3CB)voQ2wwT_oW;mM#lPE_$g90XWwuG7gu?775WPIFJd5eKfVB@#qo<wr2y|Q9
zp3FrdauNB_&i^edko<L;Bh;R8Jn&`%EP^<_`;F6RrLFGXz|PCwoj(T)nUe%thgBz|
z{mAz5d4UQuD`@X*#P^<$lwn0T@mp;r<gT7gxyfl&xq2(0KUKO0O-b{SH*F$%C8(Go
zb!7JzO}ic~m9t)VfXNjWA1<k&wC5*LPtUJNG$NEyUEOS^H`RQ)4CzW5;9u~<1b$`x
zp2S}qv=Sk*(%UCaytca=@S}WWio+JB@}5lVG-jAWwAl!<^#~~OsI4NsKb+Y-6ljc8
zIdNexGi5{1;5Q)&nz0wbx3r&|D?=HxQE-2~Mig2|QVOAeTcFB^Z8#p1gOVW-e*xgK
zCG@~V`|ujCf_0t0(vxC0&L&>cJFz#$byW)SIV^xMUNu)^a5#!Kboj&a8?+Xu-)Wz|
zfe=()_Ik?+6Y|kqVRWPJ#ey%TBoSR1aNoXiEzEw9kkm@#xQyjLE1(%J!wQmkzzD>f
z+B?>GI~8@I)w3%jpGQsz{aKbV9v2<ptaa#KgqKHN65vc=B`uyn)+QLVb5VT0EL8rB
zM>TV8M?PlUck0|d*W>p^v5knTz`5^K&3KYZK<?$wU3rdx+<Mr7rCs^Yu&N8+sqf=S
z>;btN#}~<Hd7rhQLM3$vIp0k>?n^eEdKCQvuSXQ;7l|i@n~n>5@!#<7Kwsr8;p==)
z@E;j`#){32S?BO`t}y>Q)WG6c0bI=O(S(Hl5!njB!^idSqb6Auh8mpylRJV{$&zca
znw&(jcZr7&ANd>&QtTVv$SLvS(W&EMJzgJV&?sqNz3|IutI2!R+&P{<aJH_vUbo&T
zB5-lG<p|uf-a82-{<&i1<jdb`9pLrNZT8a32d^s7;P@xg@w8K;)BagE>{VLd7A<GD
zN5|UZBIgD8`^bCm8*iQ5gST34Ud=O~Yn-j|ex6+UoPW#1?0M7QRMFKa`i*+O(HC!D
zU11O1SF_}ZRD~1q!hsBwcTRawx?lCN4-Ot#A*O<T@BsfQ%_f+BqV1kS#(R}#kVm(w
z|6#0?V&Dm1Qv~rMt-~#FB_Q(NW$~ePrQ|>b%k3qpBTu25Y-e$2`0nFk)ZO@CTgIxW
zAR}0WRY9jQg}fzj4;px}5!R4QUc(-(yq>wg+?p<cH8`B<^Tn{o#Fi+_v@&I0AR_E?
ziI_+&vOEOKl>?3Cbs)|ARJuV43^rs6Yfpoj!E_#_8G`(Wrjsglt7f#otiH;ISaFAn
zUMMG>lelcL`vm%ucv!srroeno&3sp;!e%DX722zjWH6LVKoLGO-fTkBrvB;GJeqq2
z&OVx(0%e$qodA!enuh}qd>p@LG!>+rYpCe=E6i^hYAYee8XSJWPRN9X+HRtW9;7-1
z!qV>-8Z?qu$jF$0tbF&@1oO_bxZsU!G90(%#FWb(zrxhIY8ml~>s`sbTnj5-l{(~y
zt+kDWwaqJQ8zRV$KFAL`$PW^0o7YxDV$;6Ec_7UsE=^6KCTm8yHe|-$+FsJyp4Qr)
z7&0>enPGs;uxFGTfixY`%NrmwrH~nG$jlC8h6n;qfq=Ck;8_S5GeePV#b;ywy$Nx^
z6Y!gJQAyind!7K_v}<Y?K{>fMxxdk}IPsIKu?iPiu5t9b=p|#U@88)z_^-Cl%f<ii
z+x}k}Lp#E9SMpc&KQji_<ITYtt<U213o_A!Je$MrpN~F9s#+^fV{`#qhhy0-?j{-X
z*Y55Z$H(X21gMn+g~&Ct{IZ3GYvwz?%vqb>EV7t1jGdYee`#FGbKt7&V6?lKtj`S#
zTzG7~6E4SUUr##vzKE?XxUt^B+q>%4k!9UD;A{_JyR(97PB*A33Az1nDzH8HD%jP_
zoNnw<y;tTqU+)==+uN8(^m2H=l#HGB#)$IJ%=8R;0Z#9&Sn(9ktli7X5yE`@ta*#0
zWCC5fRKD*%c1d2$xVrQCNnU0uq|2`7<keVk_0+~s!t?lJJ>~q#7p&A$1JKrflQsQT
zGb3m^C>^jJFg#Ujh+JCvoTX^n@5QTuuej|V@Qy_vxg3Kn6@>QF+@Q;{tQ^?%uDYJD
zFsxsk3_S*a8^#-UVZ(HiwCod-1t0Vcy=z)zkcI=av>q2>NkD}RO-W@fn0+x`mt!Fb
z(R~fIi9lbE^jhx%na%Ik))}DZXvobcDfNLwNNj@Iy7+E3F*biuKMgUvIIN@YibwFF
z!(m_3;hV}E{>J}-FwbSWD{dXXDKtc(k7N|yLlYCRkLIJ|Kso5U`F(SOlHl}JHZN{>
zC%~j+GwCzrE!r<R)ANn%lrU#<Xi2dHBox2rlu|<#NkvXr(p5r$7E^eV9-c2Lk`I?p
zT|B6OhGm%8Zy@`2B5_L#MU*BeUIcZ|!@Hbsug{ld!@a0@JPs|;c?Pm8BQ3(qa{XOB
zYCKLugg3gjFkjXP#uvvI#nCXnIR7ucsDkl@!@uH-KU8w#JM|967lFB)Fup*|`>X^N
zvic{!5cCVYs&HRhMwt|D{KFUX^*c~1>Q>r6d@(fGi5Y7=vd(dKQKt5HnBo3^0yByK
zA2a_SGyn4$>;D#JSQE?i{|+-ee}fq?@c)2kF#f_bQu2J4YgKvF8*Ix|Vw<~X7qP<W
zt<+V^8Q+%LbKWInw=Wh5-<0H(h<Y2jdZ#sP-&tmzEiR4dOdp>18Q(YlT>7~3Im>Z+
zW;2}DCG*_p+hHFx*YZ$y1qbQc?B?Y9=Bv<^#Mt#Nly7b<7U8CyDk1)21?<l4rD+i~
z%(0B^xhw=a8{+qV*H%7tjY#$0G-$GWC#hC)Me9)-V>!HDOipKZ+lTb-<a`SYfyhPl
z!(=YcSOMmzh_SVwTfpl);|)n*@E+^({1{4Wr}~a{<L);>eYI|%YU8>QDnrTLM_=z+
z$ETcb*6qi-Iwfe0n6{O{V!?7s;~F<Lj~t&#T`|*Ks8hxB4#BqtYK96ot&WH)HQ58e
z$AVtY_we2egr=NeUELN5T|Nr4?hQcHyIzI+uwL;(Q;m{|Nc7(Y1s{x!yx+DkAldUX
zvpgR{W4x%onUa1O&^RZl?h}CN5_1HfP(Boj4J-=R*oB+#hllfFD$K<vQ4GIGM1U%G
zZDDU^HVFpqL?5Cwf6j$4wxQtm=)F8$SJ8k=9YPB1@n5%wTkuaT-}S-fM5u(X67Qu!
zf9Hwm6XhU0=)ak<yH2^aF74y;3jP^BkT5qPS7UtmBQ0DJc4rlV&vL$rLfZgFwFE|o
z<Y9RzzWF!~A5HE@xIa__lO}Gj)}{ENNSNxO9r-qpkJw~d?>*O9w`?Y43si#BGK*CB
zRN0t#^);M5<i1a$kHp0@@d}jww3Yrondw#pVkNu$9pgPd&ZH{PIhMrkd|`R(lpA}S
z$w=F|GaQl3SeGx95qWNDK9Zyk+bI^xAlx3d9Z3QuGbU-|D#`eA@^23lB!5oU%+(P0
zRiNKyHZnYcJfA;uP_8og$W~Pu`yTt>0HA|&q8_JxvvKVmgGS5UEYD}ycb83YMQN{Y
z(Occi-2V<Vynh24?*CoT;I#ik&QsHcvizr<Z)BOZuS!gJrjskAqkx{wbHQ?l9fjHo
z1#tz92az2IwK?0g*xz`SQt|uON%|iv3MvL4xBQ2kzZmA(tZPWAEM3`%YQJ{+-ay-`
z%DY%vK8S*{3f?|5TtvMR9$H9fIm6-mu+q7_RtJk988-e8)ZD^QgLQc%;x6x%WvP2P
zdM&xa^B+%VMz35d>V-pNY0^!~s_&$Z)p)goH+rwT*l|8-d-5CW+_I@2i{$&<^T%G-
z+hI8+(m6iu@O-FwmWs#jekiGOG~uN_d`it+UdnAfwhcwz?DiXD@pq-ndD>kWuDxp_
zt4hBa|G^pMAl^38SS#7Y>eT5V;+W{#VJ)xz6=7NH`KVv3MpS8HLHrI+MB&39(8O3F
zqOybFvPRU*_wXuQ-^!s9qsY@4QaC6z^U0Yn#A@31y>mmw6u#W|i{9i0>7GZa-`UKY
zG`ly1abm@lY~l8OI`0Z$jmGRlk9Log6bO~1P>&5{XS85DO_nfM#lw|84fouiXVtX{
z%IOh!MiDiOUZz+_w8ud^mIy&+*T$%!dwq&u7Mg|BS0-K>DUQjB@GUG?yq7*E{haI<
z{p>5`hBFM%B{IJ)ZkcjKzDeRY__JbWX(bgBRM1|RdrAI0@{`6Cmo*N)4XW^VShE=g
zKJu~Tq#l_)VNOZD&g2T|I;rtjIB!Bc21KRwY2g=5)qwU1u3r%-&TnOWy9Oi1^Hr4|
z&f>Tkb6v;veMIf{9*a|Ml8k*s_a^S;Wmi=Nu7jqQ?&Xs{fKMlhk0Qt0#yx@#xQu>6
zA*Tj;q-V1>GC@}v>Z>-^8-dmmCtUcxc^M1$kk{?wkdb?c?FpAf+qlwxpf%?SSCW5T
zM$i50?NyudQxV0I8@-n14pJ4w>=(c~(;nkNGZ=n&ncre;zKEE7!+R}I-r5+>@~{z^
z_oQihrGXd>w+E?0{5$yY{S`huyqy0&=V*017XfkFF9`q0`osYqxKAw6mgI?U3yt<L
zZy3I7i(Hhr7}n$cRjj0S>pt8iNoR)dCgaZW;DK}L{<W#i8Lf?r7fjY$+3f6g#K5#o
zV@q}=d0u6ulW-1}>S2S+mmJE)_Qf58`B?1SHqY5Tjpe8-Vfp2R0bC?#^}YAKzfR7e
z`sw1vRQABY7+>OA*4dW)S}qs0rAatOQqW?Mt^Q44AMNf>6tp*4*BBNUlMgKK#u(oY
z4$MAkV+)3~$jRyO&iXv|cza&ozzw&Ko7L}D3N}vqjqSKRxsu$g&fMaR!KBS~94wu(
zNy%N&A5BkW38Zr3`PwLJGCBU-CThU*>@`5X`-gIVHN9-9Xl#^hs&ee~rsmOi?=U;4
z{V6p!`<z2hv+0^$mht(VzRf(vv9N)FYLo!}rv-ILZ!tz_33hSU5E@2tms*$F7X!>S
z&x*XWa+52YHItMxAHsWZd=8x|+$hcms1TMef-$1u3l#|zEIv$<14BWJZ(*4d=E`wC
zNO<2-N$z~p=@BRf)P_*G?1Nn#LItET-ogodj}7IpBq0Y!@|_ZgsDB0ziRW;l2){Bc
z?#a}PWbGPFjG>qrci&>_L;6ij#!Z*6M-rPhgbl@Xi|+au5*~EOD&A=*H<U8*#%*oD
ze-Hs#h3MADWi<FU`on!FX$qh-nXXeyDX1Ljt_1H~v1BW4WQd~#R>I#?xTb?n-Otqt
zw~APXWygkP*@k4<hGi*}68ywP_9FsjnD5HC&eb`FW!qm-H^2%5bps8xr;5maSilVZ
zoh{#;E#jRm-JPxZdH-wYpbhHx!2}N*)d|j{MJ<=@Ypl)nu0~yjw%P4R4d0Fc=+uUh
z)5!0u(m0{$Rmu^Ae>M1jmL*!gu2ujJRdahy4<|GZ6#xhb{Nw(0bN2xJQvi1W7ZCJc
zc=*@O;Uj$`cl_^ofj3nXv@?~uYbH%)l?p@1wcZ5_bk)_4R1`LHZ3hbjxi3bmIzN}3
z`B=wxqrPr(bNGTMPurmXS+z-@D;K0x-BoY;Q9dTP-%_k3qcL87&_irHgD{M_`!!;U
zCDx}AAhEfs9#OIdOLYh;n&!I@kuqGehW9eDcCaN*rNUYUNR?$pRufKgkV33l8{nZD
zN!eMZM*&te=@8OaOZucqxHx1I)9MHrCTliLGza~0H8ZyGrMp~dC&aB6^X9clO8i9`
zm}O?^;khqpDR*SMywJFZeSvstvZZi{F}<(${ICL;m@cZjUJkd3Q*vM6G1v|Y4Nyi1
zZ3(kUq<+elcEUh61(+Lg%HK|0d?ZB`2{)55Gr}On42ZV>Gz}ps<N;a;2hfQji6N_P
zy|cpggCB}Xr%pMMj>_B;!+q#_rIdyfHvjb%{|B;lI-njxaF09y+v8(>L+X3LCOkKW
z4_*bMcx)U2x#<)tBvE$>)s2V*i9woB2{BlWmcE71m!x~^b-4teFPtE~PMC?4s={d7
zXWNgK^vtq}NNLv6M6c@cK<aSqTABS3m^3&=#p&mk;RT=`Boo?Py3n*z8(SJUlL@{a
zY&z1O7cOLBve*0d9{Oo5@UciIy5uxgIB^Ogta)ND6zZ8{l~1}61`<ev!NM7w9plGr
z(PsRaD$sM0`;8B)?Q0F*w>O>WG`Sj}5_5_E*l0Myixy95X>n;i?AS6Ajk8u@*nYeI
zWId5lJtMtS-97n6xu?%y!+Y_#vo=^6xTrz)Tb1(C@-~@CiY8kv%<V8Y<L9ar`8H_%
zB_k_t;y^~I;8)9>_8jYv{f@%#hrNFNzT~IPjctedtFeQQfQB+7L1@J08z{<EPcXVr
zE7nQ149}M<M(&fP=9ncDEBsa4u{h=zUiPDFbH^n0XL&B~_jszC_1@rj)ji|FVrgCl
z3EwFj5ges3T&)@(eWGu(6E1I%?Qr|BYMR$RK+3j&yNObCp8VDSG=EU_DU&c(l-!U&
z_{mj(IY$0_7p`oWaFEvP()kOsn*0mFD<S3|vf=G}DA)S=y)@7FWh(w^z(FO2uXH+l
z&adyzXI=P~p?hUBrPPUcjPsjkdkpFsQbrzu0%?sn4c#|;6Asawy5QU&2{z$op>?dv
zzC28$<|5rusqDcIY9a#cC|03K@dADiFX({g$1j>V`J^~4_!?u&miV6H3>y)0#I={F
zQInSWrj(IUnI0Ac1ccZXuE`EgsDVKm0Ze*M6O2Zt67xs{D?gC<`kOq(6~PzwUynDj
zwhhjgw(RiJOvduGjh?<XQwHle_pde4ZD--tG^SO4r^od=5VMck5z~;le!F`|$>cCF
z^JaRtk1TK_^|D`(Quc>Ol<U5i6klLdl<p|RxfOCKofdh-Rd-=P8E-PG$3^~Z^x(U)
zJwCd8wma*MTHJXMc@q@((qHk_&$-YUyvq37d??S)c3P1k?x$Zzx9GoAY>G`=r4R!Z
zUp00bVedR|M`FK?6A4y?_T<DDHK%55dS&o?CES)B^WZwj26!~lncvfj1pSI6Zs7=T
zb<fBMsyV@t6BS*H7WXUb9Ic^yXR_O~8iC#+n4wg#=Lzl4&G*nz+7#~K&B-IaC|1Zm
zAACp@?R#f=o=ijy-#}E#@zqBEAZVgmw_oH@q$=*{zKq5@AW%nw@!1!AmvkcHlc=-a
zy2lF&g5*(CPCd7e)@HLkjosbfoZQO_*4<rV|2|ROC4LY|<j!e&%#k<Xae3hsxR!M)
z%+ob8`Fq?2v+)dCVH!Kmz6#kPwmI~~j65Mek?H;Qd(s%%k4fbk=yz4m(q1&Bu$ZQu
z;omkH=vQ8NkIOsMc;f19n{ffx{-YwO>#?YGmF_cwysi~U(Dc1#N0n<WH<-TCH>d%=
z%_ZFv?b9rp9%l;ZQ?7MFk{$iWGct%#BdX_g=}(Jnx#urmgj)6;eiRs6p-LxG%~=^L
z8-Eg^m)F7JsZ5IaW}O$dk_gq5KjCU;RAxybxM;DTUTA!-D4<Q#`*K$A$L^lcq^nLB
zq`mLCB}go_#wJXJafZczRBJTcYS&ow#$-x+Q`;od!0toNr`2_J)j3tSRO7R9KVL<=
z2(2oNqee0UI;(+1)+{GB4d5&uVd(cal^zjNcBy*uHmH=t>H-Xbi!^bQmM<t|;O@tt
zy&s=HT)99>>#(vuHo7eJEZwA)q(&>yspd^(tmq=+mn-`Zksq!mS|fK-3@WSTD@eRK
zHrdyy|9nc9{RT4iz5NsC-V&IOjBI~y7uQ)+hm3sa6Ow)@Sef3)#vm{@S-dtUJ+8PM
z!R;OK-nvBLOk#X;lBE(6GM!|xl*|34c*up6Cf-XqeNc{nqdiL8edZPxH9<16%_l=8
zim6?~@(e{{osL4!Oh+(V?LbL5_dWCMotWconxBDjg4Ry%VG6h^b!>A04=bFs;C#yd
zHCOVoHuLYYULykcW@FABWdWdJv~<oMKm{|fN#X%r;CdLvLnP!b-P$bM&xo6=slCu*
zFjJpbe(w@B>I;V>oj0>8by=T>9N6FstA<5A{Yy{9?z^!wFzuCIb_k8p^cz7t8Mc%`
z4>SbIm(I@f7WvW{5&7zVr1+J-v}zgtkwPs=g<|fJ3{a9jTwE3$d5OuKbT@D&UBfHV
zO{)?(2fsc7%4WN^sZ8rPPWeRuTml}uclKjiGG84Hgo$p@YbBf<%h+rivxN2P;OwXE
zSsg!4d@A4BdGf&4c)O|Hf-di#C6E-`m>gYCZ=iW!e+Cifow@Hf=c67Q*%Mkb6{R#Z
z+dAEj>0Kdy_Pez_DbXS!!Dc6dSVpy9R@Yf@FBeo56c@`iMA~$;l1$Mi#3Tmrr3<sm
z5T`X`V2vY7Q!Rf4`{-f~6m1-DnHvH_QBrH0{lux+uWm=}@tn=`H{F1r{jdE45=6J|
zeMtOz^3H7@UaEo+M7DO@)?IGNAL3RE-Z63ob#pvt8WG`({IUq@XABtmoD?>GYap_V
z-odnL<_LmzDH<F9hzUzO`TUUCxk-IubATn&MQ3Fz(j634N&JDs+vF&;vNs8zSwuc9
z*;G+8Sq3`UDW00lR{Oh_L6Lcu!9g~Y-sszKYN~Rh7rqI~1MV%^X<am<+BCh5TcD>7
zgt!R(mt86e%bjNoD!p@0-*Fwa$<sN75{1*c+2Bhw@|F!k6EyO6?S+6;6!Xx+?TAh}
zT&_ONUBvC#SwPLF(leD8mAX)i;pvy4`q*Mp;e~`4UMuIZq-Z@5weq+isF4JlC@n|M
ze_WL4!Y<3)6F-_-H0b=GyDI7zrXYTl@DYThr^##~=>3M|6TTOn^de4xaq&c<t^TRE
z6YZFC?8DLQ#mZp9r;kD59|Z>0!E)OS&Q8TErp2?$w9<liLdvMSU(xa$cOuf95LT2i
z0^F+oAEpz4r(3SmDwB;%%zZ0wZfi2QdTfMzXBKEiV{1kVJ-vQIuVgaLZ}*;JWMwU{
zhX)Wp;+M=mIpCEn2q+)ZDpQ^3O?RIwro7I*cmuGgCW)8Xwhb`uy0W?GJ{>Pqy6>>x
z&FN$=Cvd4k*;KLro=zNIo9?X%Y1VzM<6D}NESl#wbZfPr5m!abx4mktI{NFu@!{R(
zF~W09u%W87pJZcIu$E;xKKK}uNE#~cd}Lg({cu^}3WcSn1DhmEiO`Ne3h5dr?gmlj
zq@|%lfAfy!D&?ul^zQM~Xz<F`dr^4<m>1s_JK^JPXOn%>`%vtHRqhV-g4<&U(CUYn
zBP8mhSUO{sxyO3IEwTgVt(m|tzI%#Y?}P|2ccKq@!!1t0Z;^#O2mrj@#a0MbqzO7h
z%H%&9%5J&Dmt_eHMqc{qX3eQMxE0Ui2EIy~_D@7=fBC%>!?1HEv4!(VwCF<mk=f>I
z+w7{+=;}`Qs$c8L`1d8x(wA}T3T){L7wU?p$655lhacDOOJfX2vj#u*`&Z7TwXdjX
z?H)Mv;*v@KDj7g9Z_<DN_pRpUV(DpN<pyAKwY1i<(q#j&gMsXvJj`eu;+`J1E^bWB
z99niBj#jWwO;2-sD+>?UmZY1NnFp*+$qd#7;BDst3%U+dA8u||*32A=R=(aYZkFy$
zuyg!JLpv8|DKif%0F#seCy)~i<bfrQ;sOIfeEP5!$}X1w>q;#*GgntDO8|$AnWMWE
z8i$&ev@W}hr=z2}nX~hsL2KFCxdUM3KL`IBpkw9c4!azHiyZ_8ar1NXaC5P7vh)1o
zTfsWO#;auKWd-;%5@vvdtC@$byOkNh>%Thku!Grw%xEGae<tqF0s#=rWBuRL^%srB
z`wxi);)1CyB`aqe*j#XPbN|~OhrncImt`Qv`;#X^p}7xpg(7VEOghC2Rz?Q(D|WxT
z<=%CP;i1$BIz9&_AC-B0g3=|uqV7nhFFXgl;0|LJrvZ>9Volg3q7^rW<UY_Rn)pUb
zP3VLn6w#H)D_oG;BmJ<g<@UjSi>!u2YSBRuG255S<M*-zLoX9!d*l!*zzRzg08gMg
z%TljbV=K}~nLidyedUkdiOR4}n*E!2&A?@G40AN#;rHAX4?}R(jg#y-69elpE3~xK
z&!Vd(S=amE#f(&^FZvX=iR!FK-?^WX|I!E1GpRz5e2SF<w|lugkg8{`*lJ`lDx8br
zGS*!ufzNef>@CJ_nI_g!pSnARWw!dy<fM47V@t}<>6!`xmVs29bSm*z1xtu6JjC8(
z=jSC~u8pu@@r?Uxk9$&XuiI>|H@LO36q$=h_P#;Qf@OJ6(U@1?8f>X49Op+)xqX1_
ztzzHQHdpa_dTWWkYp0B%;E@ZTrzjf+O<KZ&@CozyDeTbTX71w5lv${kuhQ(ay{d4z
zB~|l{ft3E511^6Yb4cUoTTNta75XB*%e*C}K%Q!};<!monsC4VvF5Iv^+{IP6PJ9n
zJcjI}+kT;OvGCl0LR}XJp~ka9K)-A3h6rh|M+_HuB#O&J_o_MbZG$`U0mcn`JpmCT
zd$96jwxO0$gR{;e(0(s8LG=PCy4bo;9y{$9;PvIS&KJACiYEYTdC+KK_4-P@ME;zb
z2QMMv?~n}oi)rd=SXrZS$U9qF`2Y-n01!8)5gLc4ouAd8O*D=-00R(!3jl&0)Npa}
z0D!>!uv2LK>0#{xYx2j||LjQt421Y3`S@ixLA(-R9uPl2w}b?kQxYi6&CMqxE-ek@
z=Mw?^>n5=4{1+y`z<+;r4gHj&s-`-@`;CVD1|)Ts{)!>#Vt{FZ98!ZJTXcxw*G9n0
z?WqiW{2dkg38%tIAdrT~%o+eR|E22MwU7}@u`e2O!Oo!CadA|4^W8EkGCMW$cF+ty
zH@u99OQPc3Rs53#s?=}zVvSRA$`zzf)UQ_x>J(cSRrZSOD6Q16ggv}wq{~8R1pJri
zn=w*wbUrHhH{ckCQoQblZwn>VjnHmJo@MEvZoFZc>GDijkMiWrr*f{)BB=cGPR3RZ
zb^B{8l6rF`-jlNte!WDU!d6!ck#2bFM5%_R1NsrphjfLN7Ej6vOe2=K-RCE&O9=^j
zKgX3oA4F^|ee^luh#<L&KKQvSajN%bV)VI9@5D($2U((;=1SI?W4rNFR@WMVXyc}&
z3}$GhX2`~3WX2VAqRWkMSWZ?AM#>z6s*|<v8XW9&wx6jL-77XaQ;olrcIaomSsC%W
zxT#q`v+La)RZTbwrdlhc61=ATp?EKwN}@Cf<}V!vNyd}9DaBj3Q6z0jRQP9mr>Am(
hNkrQJYJ2V;W^Nunu=_n42n6Ke<wB#UmsXWQ`yU|y+0Xz0

diff --git a/.setup/latex/pdf/bib.bib b/.setup/latex/pdf/bib.bib
deleted file mode 100644
index 8b4f589..0000000
--- a/.setup/latex/pdf/bib.bib
+++ /dev/null
@@ -1,4551 +0,0 @@
-@Article{Wright-1918,
-  author = {Sewall Wright},
-  date = {1918-07},
-  journaltitle = {Genetics},
-  title = {On the nature of size factors},
-  doi = {10.1093/genetics/3.4.367},
-  number = {4},
-  pages = {367--374},
-  volume = {3},
-  publisher = {Oxford University Press ({OUP})},
-}
-
-@Article{Wright-1920,
-  author = {Sewall Wright},
-  date = {1920},
-  journaltitle = {Proceedings of the National Academy of Sciences of the United States of America},
-  title = {The relative importance of heredity and environment in determining the piebald pattern of guinea-pigs},
-  issn = {00278424},
-  number = {6},
-  pages = {320--332},
-  url = {http://www.jstor.org/stable/84353},
-  volume = {6},
-  publisher = {National Academy of Sciences},
-}
-
-@Article{Craig-1936,
-  author = {Cecil C. Craig},
-  date = {1936-03},
-  journaltitle = {The Annals of Mathematical Statistics},
-  title = {On the frequency function of $xy$},
-  doi = {10.1214/aoms/1177732541},
-  number = {1},
-  pages = {1--15},
-  volume = {7},
-  publisher = {Institute of Mathematical Statistics},
-  annotation = {mediation},
-}
-
-@Article{Johnson-Neyman-1936,
-  author = {Palmer O. Johnson and Jerzy Neyman},
-  date = {1936},
-  journaltitle = {Statistical Research Memoirs},
-  title = {Tests of certain linear hypotheses and their application to some educational problems},
-  pages = {57--93},
-  volume = {1},
-  abstract = {Beginning with the general ideas of testing hypotheses developed by Neyman and Pearson and using certain recent results of S. Kolodziejczyk, the problem of matched groups is discussed and a numerical illustration given. It is shown that the problem of matched groups may be generalized so that both a more detailed analysis of the experimental data and a greater accuracy of results is obtained. In treating this problem the idea of ``region of significance''' is introduced to educational and psychological investigations. The methods proposed, however, are quite general and not limited to problems in these fields.},
-}
-
-@Article{Uhlenbeck-Ornstein-1930,
-  author = {G. E. Uhlenbeck and L. S. Ornstein},
-  date = {1930-09},
-  journaltitle = {Physical Review},
-  title = {On the Theory of the Brownian Motion},
-  doi = {10.1103/physrev.36.823},
-  number = {5},
-  pages = {823--841},
-  volume = {36},
-  abstract = {With a method first indicated by Ornstein the mean values of all the powers of the velocity $u$ and the displacement $s$ of a free particle in Brownian motion are calculated. It is shown that $u - u_0 \exp( - \beta t )$ and $s - u_0 \beta [ 1 - \exp( - \beta t ) ]$ where $u_0$ is the initial velocity and $\beta$ the friction coefficient divided by the mass of the particle, follow the normal Gaussian distribution law. For $s$ this gives the exact frequency distribution corresponding to the exact formula for $s^2$ of Ornstein and F\"{u}rth. Discussion is given of the connection with the Fokker-Planck partial differential equation. By the same method exact expressions are obtained for the square of the deviation of a harmonically bound particle in Brownian motion as a function of the time and the initial deviation. Here the periodic, aperiodic and overdamped cases have to be treated separately. In the last case, when $\beta$ is much larger than the frequency and for values of $t >> \beta^{-1}$, the formula takes the form of that previously given by Smoluchowski.},
-  publisher = {American Physical Society ({APS})},
-}
-
-@Article{Wright-1934,
-  author = {Sewall Wright},
-  date = {1934-09},
-  journaltitle = {The Annals of Mathematical Statistics},
-  title = {The method of path coefficients},
-  doi = {10.1214/aoms/1177732676},
-  number = {3},
-  pages = {161--215},
-  volume = {5},
-  publisher = {Institute of Mathematical Statistics},
-}
-
-@Article{Aroian-1947,
-  author = {Leo A. Aroian},
-  date = {1947-06},
-  journaltitle = {The Annals of Mathematical Statistics},
-  title = {The probability function of the product of two normally distributed variables},
-  doi = {10.1214/aoms/1177730442},
-  number = {2},
-  pages = {265--271},
-  volume = {18},
-  abstract = {Let $x$ and $y$ follow a normal bivariate probability function with means $\bar X, \bar Y$, standard deviations $\sigma_1, \sigma_2$, respectively, $r$ the coefficient of correlation, and $\rho_1 = \bar X/\sigma_1, \rho_2 = \bar Y/\sigma_2$. Professor C. C. Craig [1] has found the probability function of $z = xy/\sigma_1\sigma_2$ in closed form as the difference of two integrals. For purposes of numerical computation he has expanded this result in an infinite series involving powers of $z, \rho_1, \rho_2$, and Bessel functions of a certain type; in addition, he has determined the moments, semin-variants, and the moment generating function of $z$. However, for $\rho_1$ and $\rho_2$ large, as Craig points out, the series expansion converges very slowly. Even for $\rho_1$ and $\rho_2$ as small as 2, the expansion is unwieldy. We shall show that as $\rho_1$ and $\rho_2 \rightarrow \infty$, the probability function of $z$ approaches a normal curve and in case $r = 0$ the Type III function and the Gram-Charlier Type A series are excellent approximations to the $z$ distribution in the proper region. Numerical integration provides a substitute for the infinite series wherever the exact values of the probability function of $z$ are needed. Some extensions of the main theorem are given in section 5 and a practical problem involving the probability function of $z$ is solved.},
-  publisher = {Institute of Mathematical Statistics},
-  annotation = {mediation, mediation-delta},
-}
-
-@Article{Cochran-1952,
-  author = {William G. Cochran},
-  date = {1952-09},
-  journaltitle = {The Annals of Mathematical Statistics},
-  title = {The $\chi^{2}$ test of goodness of fit},
-  doi = {10.1214/aoms/1177729380},
-  number = {3},
-  pages = {315--345},
-  volume = {23},
-  publisher = {Institute of Mathematical Statistics},
-  abstract = {This paper contains an expository discussion of the chi square test of goodness of fit, intended for the student and user of statistical theory rather than for the expert. Part I describes the historical development of the distribution theory on which the test rests. Research bearing on the practical application of the test--in particular on the minimum expected number per class and the construction of classes--is discussed in Part II. Some varied opinions about the extent to which the test actually is useful to the scientist are presented in Part III.  Part IV outlines a number of tests that have been proposed as substitutes for the chi square test (the $\omega^2$ test, the smooth test, the likelihood ratio test) and Part V a number of supplementary tests (the run test, tests based on low moments, subdivision of chi square into components).},
-  publisher = {Institute of Mathematical Statistics},
-  annotation = {robustness},
-}
-
-@Article{Johnson-Fay-1950,
-  author = {Palmer O. Johnson and Leo C. Fay},
-  date = {1950-12},
-  journaltitle = {Psychometrika},
-  title = {The {Johnson-Neyman} technique, its theory and application},
-  doi = {10.1007/bf02288864},
-  issn = {1860-0980},
-  number = {4},
-  pages = {349--367},
-  volume = {15},
-  abstract = {The theoretical basis for the Johnson-Neyman Technique is here presented for the first time in an American journal. In addition, a simplified working procedure is outlined, step-by-step, for an actual problem. The determination of significance is arrived at early in the analysis; and where no significant difference is found, the problem is complete at this point. The plotting of the region of significance where a significant difference does exist has also been simplified by using the procedure of rotation and translation of axes.},
-  publisher = {Springer Science and Business Media LLC},
-}
-
-@Article{Duncan-1969,
-  author = {Otis D. Duncan},
-  date = {1969-09},
-  journaltitle = {Psychological Bulletin},
-  title = {Some linear models for two-wave, two-variable panel analysis},
-  doi = {10.1037/h0027876},
-  issn = {0033-2909},
-  number = {3},
-  pages = {177--182},
-  volume = {72},
-  abstract = {In the absence of a sufficient number of a priori substantive assumptions ruling out certain conceivable causal linkages among variables, neither cross-lagged correlation nor any other technique for analyzing 2-wave, 2-variable panel data will yield a unique causal inference. A wide variety of distinct linear causal models will always be compatible with a given set of panel data.},
-  publisher = {American Psychological Association (APA)},
-}
-
-@Article{Goodman-1960,
-  author = {Leo A. Goodman},
-  date = {1960-12},
-  journaltitle = {Journal of the American Statistical Association},
-  title = {On the exact variance of products},
-  doi = {10.1080/01621459.1960.10483369},
-  number = {292},
-  pages = {708--713},
-  volume = {55},
-  abstract = {A simple exact formula for the variance of the product of two random variables, say, x and y, is given as a function of the means and central product-moments of x and y. The usual approximate variance formula for xy is compared with this exact formula; e.g., we note, in the special case where x and y are independent, that the ``variance'' computed by the approximate formula is less than the exact variance, and that the accuracy of the approximation depends on the sum of the reciprocals of the squared coefficients of variation of x and y. The case where x and y need not be independent is also studied, and exact variance formulas are presented for several different ``product estimates.'' (The usefulness of exact formulas becomes apparent when the variances of these estimates are compared.) When x and y are independent, simple unbiased estimates of these exact variances are suggested; in the more general case, consistent estimates are presented.},
-  publisher = {Informa {UK} Limited},
-  annotation = {mediation, mediation-delta},
-}
-
-@Article{Granger-1969,
-  author = {C. W. J. Granger},
-  date = {1969-08},
-  journaltitle = {Econometrica},
-  title = {Investigating causal relations by econometric models and cross-spectral methods},
-  doi = {10.2307/1912791},
-  issn = {0012-9682},
-  number = {3},
-  pages = {424},
-  volume = {37},
-  abstract = {There occurs on some occasions a difficulty in deciding the direction of causality between two related variables and also whether or not feedback is occurring. Testable definitions of causality and feedback are proposed and illustrated by use of simple two-variable models. The important problem of apparent instantaneous causality is discussed and it is suggested that the problem often arises due to slowness in recording information or because a sufficiently wide class of possible causal variables has not been used. It can be shown that the cross spectrum between two variables can be decomposed into two parts, each relating to a single causal arm of a feedback situation. Measures of causal lag and causal strength can then be constructed. A generalisation of this result with the partial cross spectrum is suggested.},
-  publisher = {JSTOR},
-}
-
-@Article{Kalman-1960,
-  author = {R. E. Kalman},
-  date = {1960-03},
-  journaltitle = {Journal of Basic Engineering},
-  title = {A new approach to linear filtering and prediction problems},
-  doi = {10.1115/1.3662552},
-  number = {1},
-  pages = {35--45},
-  volume = {82},
-  abstract = {The classical filtering and prediction problem is re-examined using the Bode-Shannon representation of random processes and the “state-transition” method of analysis of dynamic systems. New results are: (1) The formulation and methods of solution of the problem apply without modification to stationary and nonstationary statistics and to growing-memory and infinite-memory filters. (2) A nonlinear difference (or differential) equation is derived for the covariance matrix of the optimal estimation error. From the solution of this equation the co-efficients of the difference (or differential) equation of the optimal linear filter are obtained without further calculations. (3) The filtering problem is shown to be the dual of the noise-free regulator problem. The new method developed here is applied to two well-known problems, confirming and extending earlier results. The discussion is largely self-contained and proceeds from first principles; basic concepts of the theory of random processes are reviewed in the Appendix.},
-  publisher = {{ASME} International},
-}
-
-@Article{Bradley-1978,
-  author = {James V. Bradley},
-  date = {1978-11},
-  journaltitle = {British Journal of Mathematical and Statistical Psychology},
-  title = {Robustness?},
-  doi = {10.1111/j.2044-8317.1978.tb00581.x},
-  number = {2},
-  pages = {144--152},
-  volume = {31},
-  publisher = {Wiley},
-  abstract = {The actual behaviour of the probability of a Type I error under assumption violation is quite complex, depending upon a wide variety of interacting factors. Yet allegations of robustness tend to ignore its highly particularistic nature and neglect to mention important qualifying conditions. The result is often a vast overgeneralization which nevertheless is difficult to refute since a standard quantitative definition of what constitutes robustness does not exist. Yet under any halfway reasonable quantitative definition, many of the most prevalent claims of robustness would be demonstrably false. Therefore robustness is a highly questionable concept.},
-  annotation = {robustness},
-}
-
-@Article{Cronbach-Furby-1970,
-  author = {Lee J. Cronbach and Lita Furby},
-  date = {1970-07},
-  journaltitle = {Psychological Bulletin},
-  title = {How we should measure ``change'': Or should we?},
-  doi = {10.1037/h0029382},
-  number = {1},
-  pages = {68--80},
-  volume = {74},
-  abstract = {Examines procedures previously recommended by various authors for the estimation of ``change'' scores, ``residual,'' or ``basefree'' measures of change, and other kinds of difference scores. A procedure proposed by F. M. Lord is extended to obtain more precise estimates, and an alternative to the L. R. Tucker, F. Damarin, and S. A. Messick (see 41:3) procedure is offered. A consideration of the purposes for which change measures have been sought in the past leads to a series of recommended procedures which solve research and personnel-decision problems without estimation of change scores for individuals.},
-  publisher = {American Psychological Association ({APA})},
-}
-
-@Article{Efron-1979a,
-  author = {Bradley Efron},
-  date = {1979-01},
-  journaltitle = {The Annals of Statistics},
-  title = {Bootstrap methods: Another look at the jackknife},
-  doi = {10.1214/aos/1176344552},
-  number = {1},
-  volume = {7},
-  abstract = {We discuss the following problem: given a random sample $\mathbf{X} = \left( X_1 , X_2 , \dots , X_n \right)$ from an unknown probability distribution $F$, estimate the sampling distribution of some prespecified random variable $R \left( \mathbf{X}, F \right)$, on the basis of the observed data $\mathbf{x}$. (Standard jackknife theory gives an approximate mean and variance in the case $R \left( \mathbf{X}, F \right) = \theta \left( \hat{F} \right) - \theta \left( F \right)$, $\theta$ some parameter of interest.) A general method, called the ``bootstrap'' is introduced, and shown to work satisfactorily on a variety of estimation problems. The jackknife is shown to be a linear approximation method for the bootstrap. The exposition proceeds by a series of examples: variance of the sample median, error rates in a linear discriminant analysis, ratio estimation, estimating regression parameters, etc.},
-  publisher = {Institute of Mathematical Statistics},
-  keywords = {bootstrap, discriminant analysis, error rate estimation, jackknife, nonlinear regression, nonparametric variance estimation, resampling, subsample values},
-}
-
-@Article{Efron-1979b,
-  author = {Bradley Efron},
-  date = {1979-10},
-  journaltitle = {{SIAM} Review},
-  title = {Computers and the theory of statistics: Thinking the unthinkable},
-  doi = {10.1137/1021092},
-  number = {4},
-  pages = {460--480},
-  volume = {21},
-  abstract = {This is a survey article concerning recent advances in certain areas of statistical theory, written for a mathematical audience with no background in statistics. The topics are chosen to illustrate a special point: how the advent of the high-speed computer has affected the development of statistical theory. The topics discussed include nonparametric methods, the jackknife, the bootstrap, cross-validation, error-rate estimation in discriminant analysis, robust estimation, the influence function, censored data, the EM algorithm, and Cox's likelihood function. The exposition is mainly by example, with only a little offered in the way of theoretical development.},
-  publisher = {Society for Industrial {\&} Applied Mathematics ({SIAM})},
-}
-
-@Article{Engel-1977,
-  author = {George L. Engel},
-  date = {1977-04},
-  journaltitle = {Science},
-  title = {The need for a new medical model: A challenge for biomedicine},
-  doi = {10.1126/science.847460},
-  issn = {1095-9203},
-  number = {4286},
-  pages = {129--136},
-  volume = {196},
-  abstract = {The dominant model of disease today is biomedical, and it leaves no room within tis framework for the social, psychological, and behavioral dimensions of illness. A biopsychosocial model is proposed that provides a blueprint for research, a framework for teaching, and a design for action in the real world of health care. },
-  publisher = {American Association for the Advancement of Science (AAAS)},
-}
-
-@Article{Hinkley-1977,
-  author = {David V. Hinkley},
-  date = {1977-08},
-  journaltitle = {Technometrics},
-  title = {Jackknifing in unbalanced situations},
-  doi = {10.1080/00401706.1977.10489550},
-  number = {3},
-  pages = {285--292},
-  volume = {19},
-  abstract = {Both the standard jackknife and a weighted jackknife are investigated in the general linear model situation. Properties of bias reduction and standard error estimation are derived and the weighted jackknife shown to be superior for unbalanced data. There is a preliminary discussion of robust regression fitting using jackknife pseudo-values.},
-  publisher = {Informa {UK} Limited},
-  keywords = {jackknife, linear model, regression, residual, robustness,},
-  annotation = {regression, regression-hc},
-}
-
-@Article{Horn-Horn-Duncan-1975,
-  author = {Susan D. Horn and Roger A. Horn and David B. Duncan},
-  date = {1975-06},
-  journaltitle = {Journal of the American Statistical Association},
-  title = {Estimating heteroscedastic variances in linear models},
-  doi = {10.1080/01621459.1975.10479877},
-  number = {350},
-  pages = {380--385},
-  volume = {70},
-  publisher = {Informa {UK} Limited},
-  annotation = {regression, regression-hc},
-}
-
-@Article{Nesselroade-Cable-1974,
-  author = {John R. Nesselroade and Dana G. Cable},
-  date = {1974-07},
-  journaltitle = {Multivariate Behavioral Research},
-  title = {Sometimes, it's okay to factor difference scores" - The separation of state and trait anxiety},
-  doi = {10.1207/s15327906mbr0903_3},
-  number = {3},
-  pages = {273--284},
-  volume = {9},
-  abstract = {Contemporary psychometric policy and practice have tended to make the use of algebraic difference scores in psychological research taboo. Within the more limited domain of factor analytic research on personality, difference scores have been the subject of sporadic debate for more than 30 years. Using the personality trait versus state distinction as a substantive context, the fit of the factor analytic model to difference score data is investigated and found to be quite good. Methodological issues related to properties of difference scores and their implications for personality research are briefly discussed.},
-  publisher = {Informa {UK} Limited},
-}
-
-@Article{Osborne-Suddick-1972,
-  author = {R. T. Osborne and D. E. Suddick},
-  date = {1972-09},
-  journaltitle = {The Journal of Genetic Psychology},
-  title = {A Longitudinal Investigation of the Intellectual Differentiation Hypothesis},
-  doi = {10.1080/00221325.1972.10533131},
-  issn = {1940-0896},
-  number = {1},
-  pages = {83--89},
-  volume = {121},
-  publisher = {Informa UK Limited},
-}
-
-@Article{Rubin-1976,
-  author = {Donald B. Rubin},
-  date = {1976},
-  journaltitle = {Biometrika},
-  title = {Inference and missing data},
-  doi = {10.1093/biomet/63.3.581},
-  number = {3},
-  pages = {581--592},
-  volume = {63},
-  abstract = {When making sampling distribution inferences about the parameter of the data, $\theta$, it is appropriate to ignore the process that causes missing data if the missing data are `missing at random' and the observed data are `observed at random', but these inferences are generally conditional on the observed pattern of missing data. When making direct-likelihood or Bayesian inferences about $\theta$, it is appropriate to ignore the process that causes missing data if the missing data are missing at random and the parameter of the missing data process is `distinct' from $\theta$. These conditions are the weakest general conditions under which ignoring the process that causes missing data always leads to correct inferences.},
-  publisher = {Oxford University Press ({OUP})},
-}
-
-@Book{Arnold-1974,
-  author = {Ludwig Arnold},
-  date = {1974},
-  title = {Stochastic differential equations: Theory and applications},
-  isbn = {9780471033592},
-  location = {New York, NY},
-  pagetotal = {228},
-  publisher = {Wiley},
-  series = {A Wiley-Interscience publication},
-}
-
-@InBook{Baltes-Nesselroade-1979,
-  author = {Paul B. Baltes and John R. Nesselroade},
-  date = {1979},
-  title = {History and rationale of longitudinal research},
-  booktitle = {Longitudinal research in the study of behavior and development},
-  editor = {John R. Nesselroade and Paul B. Baltes},
-  isbn = {9780125156608},
-  location = {New York, NY},
-  abstract = {Within the context of developmental psychology, longitudinal research is defined and reviewed from a historical perspective. Longitudinal research is shown always to include repeated-measurement methodology as the defining attribute, with individuals being the entity under study in developmental psychology. Additional characterizations vary, depending on historical and theoretical contexts. The need for longitudinal research was recognized at least as early as the nineteenth century. Terminology and specification of rationale, however, did not appear until the second or third decade of the twentieth century. The term longitudinal was initially identified in the context of age-based definitions of development. Recent decades, however, have seen an expansion of developmental theory beyond monolithic views to include age-irrelevant and multidirectional conceptions of the nature of development, particularly if a life-span perspective is taken. Such a pluralistic conception of behavioral development implies a more generic definition of longitudinal methodology than is associated with the traditional age-developmental view. Finally, it is important to recognize that the objective of longitudinal methodology is not only the descriptive identification of change. The objective includes explanatory goals also. Only recently has the unique strength of longitudinal research for explanatory efforts been recognized. In the second section of this chapter, a series of rationales for longitudinal research are outlined. These rationales are developed within the context of developmental psychology. They deal with (1) the direct identification of intraindividual change; (2) the identification of interindividual differences in intraindividual change; (3) the analysis of interrelationships in behavioral change; (4) the analysis of causes (determinants ) of intraindividual change; and (5) the analysis of causes (determinants) of interindividual differences in intraindividual change. In a third section, selected issues in longitudinal designs and analysis are briefly reviewed. The need for complex longitudinal designs and control groups is emphasized to help counteract the rather widespread assumption that simple longitudinal studies are invariably sufficient for answering developmental questions. Furthermore, general limitations on aspects of developmental research associated with the study of assigned variables such as age, sex, or cohort are outlined. These limitations place constraints on design purity and mandate the use of and familiarity with alternative quasi-experimental designs. As an example, some of the problems associated with causal analysis involving distal (delayed, mediated) influences and the use of lagged paradigms and causal modeling are discussed.},
-  publisher = {Academic Press},
-}
-
-@InBook{Rogosa-1979,
-  author = {David R. Rogosa},
-  booktitle = {Longitudinal methodology in the study of behavior and development},
-  date = {1979},
-  title = {Causal models in longitudinal research: {R}ationale, formulation, and interpretation},
-  editor = {John R. Nesselroade and Paul B. Baltes},
-  isbn = {9780125156608},
-  location = {New York, NY},
-  publisher = {Academic Press},
-}
-
-@Article{Barnard-Collins-Farewell-etal-1981,
-  author = {George A. Barnard and J. R. Collins and V. T. Farewell and C. A. Field and J. D. Kalbfleisch and Stanley W. Nash and Emanuel Parzen and Ross L. Prentice and Nancy Reid and D. A. Sprott and Paul Switzer and W. G. Warren and K. L. Weldon},
-  date = {1981},
-  journaltitle = {The Canadian Journal of Statistics / La Revue Canadienne de Statistique},
-  title = {Nonparametric standard errors and confidence intervals: Discussion},
-  doi = {10.2307/3314609},
-  number = {2},
-  pages = {158--170},
-  volume = {9},
-  publisher = {Wiley},
-}
-
-@Article{Baron-Kenny-1986,
-  author = {Reuben M. Baron and David A. Kenny},
-  date = {1986},
-  journaltitle = {Journal of Personality and Social Psychology},
-  title = {The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations},
-  doi = {10.1037/0022-3514.51.6.1173},
-  number = {6},
-  pages = {1173--1182},
-  volume = {51},
-  abstract = {In this article, we attempt to distinguish between the properties of moderator and mediator variables at a number of levels. First, we seek to make theorists and researchers aware of the importance of not using the terms moderator and mediator interchangeably by carefully elaborating, both conceptually and strategically, the many ways in which moderators and mediators differ. We then go beyond this largely pedagogical function and delineate the conceptual and strategic implications of making use of such distinctions with regard to a wide range of phenomena, including control and stress, attitudes, and personality traits. We also provide a specific compendium of analytic procedures appropriate for making the most effective use of the moderator and mediator distinction, both separately and in terms of a broader causal system that includes both moderators and mediators.},
-  publisher = {American Psychological Association ({APA})},
-  annotation = {mediation, mediation-causalsteps},
-}
-
-@Article{Bentler-Lee-1983,
-  author = {P. M. Bentler and Sik-Yum Lee},
-  date = {1983},
-  journaltitle = {Journal of Educational Statistics},
-  title = {Covariance structures under polynomial constraints: Applications to correlation and alpha-type structural models},
-  doi = {10.2307/1164760},
-  issn = {0362-9791},
-  number = {3},
-  pages = {207},
-  volume = {8},
-  abstract = {This paper provides methods for the estimation of covariance structure models under polynomial constraints. Estimation is based on maximum likelihood principles under constraints, and the test statistics, parameter estimates, and standard errors are based on a statistical theory that takes into account the constraints. The approach is illustrated by obtaining statistics for the squared multiple correlation, for predictors in a standardized metric, and in the analysis of longitudinal data via old and new models having constraints that cannot be obtained by standard methods.},
-  publisher = {JSTOR},
-}
-
-@Article{Bollen-1987,
-  author = {Kenneth A. Bollen},
-  date = {1987},
-  journaltitle = {Sociological Methodology},
-  title = {Total, direct, and indirect effects in structural equation models},
-  doi = {10.2307/271028},
-  issn = {0081-1750},
-  pages = {37},
-  volume = {17},
-  abstract = {Decomposing the total effects of one variable on another into direct and indirect effects has long been of interest to researchers who use path analysis. In this paper, I review the decomposition of effects in general structural equation models with latent and observed variables. I present the two approaches to defining total effects. One is based on sums of powers of coefficient matrices. The other defines total effects as reducedform coefficients. I show the conditions under which these two definitions are equivalent. I also compare the different types of specific indirect effects. These are the influences that are transmitted through particular variables in a model. Finally, I propose a more general definition of specific effects that includes the effects transmitted by any path or combination of paths. I also include a section on computing standard errors for all types of effects.},
-  publisher = {JSTOR},
-}
-
-@Article{Browne-1984,
-  author = {Michael W. Browne},
-  date = {1984-05},
-  journaltitle = {British Journal of Mathematical and Statistical Psychology},
-  title = {Asymptotically distribution-free methods for the analysis of covariance structures},
-  doi = {10.1111/j.2044-8317.1984.tb00789.x},
-  number = {1},
-  pages = {62--83},
-  volume = {37},
-  abstract = {Methods for obtaining tests of fit of structural models for covariance matrices and estimator standard error which are asymptotically distribution free are derived. Modifications to standard normal theory tests and standard errors which make them applicable to the wider class of elliptical distributions are provided.  A random sampling experiment to investigate some of the proposed methods is described.},
-  publisher = {Wiley},
-}
-
-@Article{Chesher-Jewitt-1987,
-  author = {Andrew Chesher and Ian Jewitt},
-  date = {1987-09},
-  journaltitle = {Econometrica},
-  title = {The bias of a heteroskedasticity consistent covariance matrix estimator},
-  doi = {10.2307/1911269},
-  number = {5},
-  pages = {1217},
-  volume = {55},
-  publisher = {{JSTOR}},
-  annotation = {regression, regression-hc},
-}
-
-@Article{Cloninger-1987,
-  author = {C. Robert Cloninger},
-  date = {1987-04},
-  journaltitle = {Science},
-  title = {Neurogenetic adaptive mechanisms in alcoholism},
-  doi = {10.1126/science.2882604},
-  issn = {1095-9203},
-  number = {4800},
-  pages = {410--416},
-  volume = {236},
-  abstract = {Clinical, genetic, and neuropsychopharmacological studies of developmental factors in alcoholism are providing a better understanding of the neurobiological bases of personality and learning. Studies of the adopted-away children of alcoholics show that the predisposition to initiate alcohol-seeking behavior is genetically different from susceptibility to loss of control after drinking begins. Alcohol-seeking behavior is a special case of exploratory appetitive behavior and involves different neurogenetic processes than do susceptibility to behavioral tolerance and dependence on the antianxiety or sedative effects of alcohol. Three dimensions of personality have been described that may reflect individual differences in brain systems modulating the activation, maintenance, and inhibition of behavioral responses to the effects of alcohol and other environmental stimuli. These personality traits distinguish alcoholics with different patterns of behavioral, neurophysiological, and neuropharmacological responses to alcohol.},
-  publisher = {American Association for the Advancement of Science (AAAS)},
-}
-
-@Article{Cox-Klinger-1988,
-  author = {W. Miles Cox and Eric Klinger},
-  date = {1988-05},
-  journaltitle = {Journal of Abnormal Psychology},
-  title = {A motivational model of alcohol use},
-  doi = {10.1037/0021-843x.97.2.168},
-  issn = {0021-843X},
-  number = {2},
-  pages = {168--180},
-  volume = {97},
-  abstract = {The final, common pathway to alcohol use is motivational. A person decides consciously or unconsciously to consume or not to consume any particular drink of alcohol according to whether or not he or she expects that the positive affective consequences of drinking will outweigh those of not drinking. Various factors (e.g., past experiences with drinking, current life situation) help to form expectations of affective change from drinking, these factors always modulated by a person's neurochemical reactivity to alcohol. Such major influences include the person's current nonchemical incentives and the prospect of acquiring new positive incentives and removing current negative incentives. Our motivational counseling technique uses nonchemical goals and incentives to help the alcoholic develop a satisfying life without the necessity of alcohol. The technique first assesses the alcoholic's motivational structure and then seeks to modify it through a multicomponent counseling procedure. The counseling technique is one example of the heuristic value of the motivational model.},
-  publisher = {American Psychological Association (APA)},
-}
-
-@Article{Cudeck-1989,
-  author = {Robert Cudeck},
-  date = {1989-03},
-  journaltitle = {Psychological Bulletin},
-  title = {Analysis of correlation matrices using covariance structure models},
-  doi = {10.1037/0033-2909.105.2.317},
-  issn = {0033-2909},
-  number = {2},
-  pages = {317--327},
-  volume = {105},
-  abstract = {It is often assumed that covariance structure models can be arbitrarily applied to sample correlation matrices as readily as to sample covariance matrices. Although this is true in many cases and leads to an analysis that is mostly correct, it is not permissible for all structures. This article reviews three interrelated problems associated with the analysis of structural models using a matrix of sample correlations. Depending upon the model, applying a covariance structure to a matrix of correlations may (a) modify the model being studied, (b) produce incorrect values of the omnibus test statistic, or (c) yield incorrect standard errors. An important class of models are those that are scale invariant (Browne, 1982), for then Errors a and b cannot occur when a correlation matrix is analyzed. A number of examples based on restricted factor analysis are presented to illustrate the concepts described in the article.},
-  publisher = {American Psychological Association (APA)},
-}
-
-@Article{Efron-1981a,
-  author = {Bradley Efron},
-  date = {1981},
-  journaltitle = {Canadian Journal of Statistics / La Revue Canadienne de Statistique},
-  title = {Nonparametric standard errors and confidence intervals},
-  doi = {10.2307/3314608},
-  number = {2},
-  pages = {139--158},
-  volume = {9},
-  abstract = {We investigate several nonparametric methods; the bootstrap, the jackknife, the delta method, and other related techniques. The first and simplest goal is the assignment of nonparametric standard errors to a real-valued statistic. More ambitiously, we consider setting nonparametric confidence intervals for a real-valued parameter. Building on the well understood case of confidence intervals for the median, some hopeful evidence is presented that such a theory may be possible.},
-  publisher = {Wiley},
-  keywords = {bootstrap, jackknife, delta method, nonparametric confidence intervals, nonparametric standard errors},
-}
-
-@Article{Efron-1981b,
-  author = {Bradley Efron},
-  date = {1981},
-  journaltitle = {The Canadian Journal of Statistics / La Revue Canadienne de Statistique},
-  title = {Nonparametric standard errors and confidence intervals: Rejoinder},
-  doi = {10.2307/3314610},
-  number = {2},
-  pages = {170--172},
-  volume = {9},
-  publisher = {Wiley},
-}
-
-@Article{Efron-1987,
-  author = {Bradley Efron},
-  date = {1987-03},
-  journaltitle = {Journal of the American Statistical Association},
-  title = {Better bootstrap confidence intervals},
-  doi = {10.1080/01621459.1987.10478410},
-  number = {397},
-  pages = {171--185},
-  volume = {82},
-  abstract = {We consider the problem of setting approximate confidence intervals for a single parameter $\theta$ in a multiparameter family. The standard approximate intervals based on maximum likelihood theory, $\hat{\theta} \pm \hat{\sigma} z^{\left( \alpha \right)}$, can be quite misleading. In practice, tricks based on transformations, bias corrections, and so forth, are often used to improve their accuracy. The bootstrap confidence intervals discussed in this article automatically incorporate such tricks without requiring the statistician to think them through for each new application, at the price of a considerable increase in computational effort. The new intervals incorporate an improvement over previously suggested methods, which results in second-order correctness in a wide variety of problems. In addition to parametric families, bootstrap intervals are also developed for nonparametric situations.},
-  publisher = {Informa {UK} Limited},
-  keywords = {resampling methods, approximate confidence intervals, transformations, nonparametric intervals, second-order theory, skewness corrections},
-}
-
-@Article{Efron-1988,
-  author = {Bradley Efron},
-  date = {1988},
-  journaltitle = {Psychological Bulletin},
-  title = {Bootstrap confidence intervals: Good or bad?},
-  doi = {10.1037/0033-2909.104.2.293},
-  number = {2},
-  pages = {293--296},
-  volume = {104},
-  abstract = {The bootstrap is a nonparametric technique for estimating standard errors and approximate confidence intervals. Rasmussen has used a simulation experiment to suggest that bootstrap confidence intervals perform very poorly in the estimation of a correlation coefficient. Part of Rasmussen's simulation is repeated. A careful look at the results shows the bootstrap intervals performing quite well. Some remarks are made concerning the virtues and defects of bootstrap intervals in general.},
-  publisher = {American Psychological Association ({APA})},
-}
-
-@Article{Gollob-Reichardt-1987,
-  author = {Harry F. Gollob and Charles S. Reichardt},
-  date = {1987-02},
-  journaltitle = {Child Development},
-  title = {Taking account of time lags in causal models},
-  doi = {10.2307/1130293},
-  issn = {0009-3920},
-  number = {1},
-  pages = {80},
-  volume = {58},
-  abstract = {Although it takes time for a cause to exert an effect, causal models often fail to allow adequately for time lags. In particular, causal models that contain cross-sectional relations (i. e., relations between values of 2 variables at the same time) are unsatisfactory because (a) they omit the values of variables at prior times, (b) they omit effects that variables can have on themselves, and (c) they fail to specify the length of the causal interval that is being studied. These omissions can produce severe biases in estimates of the size of causal effects. Longitudinal models also can fail to take account of time lags properly, and this too can lead to severely biased estimates. The discussion illustrates the biases that can occur in both cross-sectional and longitudinal models, introduces the latent longitudinal approach to causal modeling, and shows how latent longitudinal models can be used to reduce bias by taking account of time lags even when data are available for only 1 point in time.},
-  publisher = {JSTOR},
-}
-
-@Article{James-Brett-1984,
-  author = {Lawrence R. James and Jeanne M. Brett},
-  date = {1984},
-  journaltitle = {Journal of Applied Psychology},
-  title = {Mediators, moderators, and tests for mediation},
-  doi = {10.1037/0021-9010.69.2.307},
-  number = {2},
-  pages = {307--321},
-  volume = {69},
-  abstract = {Discusses mediation relations in causal terms. Influences of an antecedent are transmitted to a consequence through an intervening mediator. Mediation relations may assume a number of functional forms, including nonadditive, nonlinear, and nonrecursive forms. Although mediation and moderation are distinguishable processes, with nonadditive forms (moderated mediation) a particular variable may be both a mediator and a moderator within a single set of functional relations. Current models for testing mediation relations in industrial and organizational psychology often involve an interplay between exploratory (correlational) statistical tests and causal inference. It is suggested that no middle ground exists between exploratory and confirmatory (causal) analysis and that attempts to explain how mediation processes occur require specified causal models.},
-  publisher = {American Psychological Association ({APA})},
-  annotation = {mediation, mediation-causalsteps},
-}
-
-@Article{Judd-Kenny-1981,
-  author = {Charles M. Judd and David A. Kenny},
-  date = {1981-10},
-  journaltitle = {Evaluation Review},
-  title = {Process analysis},
-  doi = {10.1177/0193841x8100500502},
-  number = {5},
-  pages = {602--619},
-  volume = {5},
-  abstract = {This article presents the rationale and procedures for conducting a process analysis in evaluation research. Such an analysis attempts to identify the process that mediates the effects of some treatment, by estimating the parameters of a causal chain between the treatment and some outcome variable. Two different procedures for estimating mediation are discussed. In addition we present procedures for examining whether a treatment exerts its effects, in part, by altering the mediating process that produces the outcome. Finally, the benefits of process analysis in evaluation research are underlined.},
-  publisher = {{SAGE} Publications},
-  annotation = {mediation, mediation-causalsteps},
-}
-
-@Article{Kaplan-Martin-Robbins-1984,
-  author = {Howard B. Kaplan and Steven S. Martin and Cynthia Robbins},
-  date = {1984-09},
-  journaltitle = {Journal of Health and Social Behavior},
-  title = {Pathways to adolescent drug use: Self-derogation, peer influence, weakening of social controls, and early substance use},
-  doi = {10.2307/2136425},
-  issn = {0022-1465},
-  number = {3},
-  pages = {270},
-  volume = {25},
-  abstract = {We test a model that accounts for the adoption of drug use among adolescents in terms of four explanatory perspectives: self-derogation, peer influence, social control, and early substance use. The data come from a three-wave panel study of junior high school students in Houston (N = 3,052). Using nine variables at Time 1, 10 variables at Time 2, and drug use at Time 3, we operationalize components of all four theoretical perspectives in a path model predicting drug use. Results indicate that the four theoretical perspectives complement each other in predicting subsequent adoption of drug use. Significant primary and intervening roles can be attributed to each of the four perspectives. We discuss these findings in terms of an integrative approach to multivariate models of drug use.},
-  publisher = {SAGE Publications},
-}
-
-@Article{MacKinnon-White-1985,
-  author = {James G. MacKinnon and Halbert White},
-  date = {1985-09},
-  journaltitle = {Journal of Econometrics},
-  title = {Some heteroskedasticity-consistent covariance matrix estimators with improved finite sample properties},
-  doi = {10.1016/0304-4076(85)90158-7},
-  number = {3},
-  pages = {305--325},
-  volume = {29},
-  abstract = {We examine several modified versions of the heteroskedasticity-consistent covariance matrix estimator of Hinkley (1977) and White (1980). On the basis of sampling experiments which compare the performance of quasi t-statistics, we find that one estimator, based on the jackknife, performs better in small samples than the rest. We also examine the finite-sample properties of using modified critical values based on Edgeworth approximations, as proposed by Rothenberg (1984). In addition, we compare the power of several tests for heteroskedasticity, and find that it may be wise to employ the jackknife heteroskedasticity-consistent covariance matrix even in the absence of detected heteroskedasticity.},
-  publisher = {Elsevier {BV}},
-  annotation = {regression, regression-hc},
-}
-
-@Article{McArdle-McDonald-1984,
-  author = {J. Jack McArdle and Roderick P. McDonald},
-  date = {1984-11},
-  journaltitle = {British Journal of Mathematical and Statistical Psychology},
-  title = {Some algebraic properties of the {Reticular Action Model} for moment structures},
-  doi = {10.1111/j.2044-8317.1984.tb00802.x},
-  issn = {2044-8317},
-  number = {2},
-  pages = {234--251},
-  volume = {37},
-  abstract = {A number of models for the analysis of moment structures, such as linear structural relations, have recently been shown to be capable of being given a particularly simple and economical representation, in terms of the reticular action model (RAM). A formal algebraic treatment is presented that shows that RAM directly incorporates many common structural models, including models describing the structure of means. It is also shown that RAM treats coefficient matrices with patterned inverses simply and generally.},
-  publisher = {Wiley},
-}
-
-@Article{Micceri-1989,
-  author = {Theodore Micceri},
-  date = {1989},
-  journaltitle = {Psychological Bulletin},
-  title = {The unicorn, the normal curve, and other improbable creatures},
-  doi = {10.1037/0033-2909.105.1.156},
-  number = {1},
-  pages = {156--166},
-  volume = {105},
-  abtsract = {An investigation of the distributional characteristics of 440 large-sample achievement and psychometric measures found all to be significantly nonnormal at the alpha .01 significance level. Several classes of contamination were found, including tail weights from the uniform to the double exponential, exponential-level asymmetry, severe digit preferences, multimodalities, and modes external to the mean/median interval. Thus, the underlying tenets of normality-assuming statistics appear fallacious for these commonly used types of data. However, findings here also fail to support the types of distributions used in most prior robustness research suggesting the failure of such statistics under nonnormal conditions. A reevaluation of the statistical robustness literature appears appropriate in light of these findings.},
-  publisher = {American Psychological Association ({APA})},
-}
-
-@Article{Nel-1985,
-  author = {D.G. Nel},
-  date = {1985-06},
-  journaltitle = {Linear Algebra and its Applications},
-  title = {A matrix derivation of the asymptotic covariance matrix of sample correlation coefficients},
-  doi = {10.1016/0024-3795(85)90191-0},
-  issn = {0024-3795},
-  pages = {137--145},
-  volume = {67},
-  abstract = {The asymptotic covariance matrix of the sample correlation matrix is derived in matrix form as an application of some new matrix theory in multivariate statistics.},
-  publisher = {Elsevier BV},
-}
-
-@Article{Newey-West-1987,
-  author = {Whitney K. Newey and Kenneth D. West},
-  date = {1987-05},
-  journaltitle = {Econometrica},
-  title = {A simple, positive semi-definite, heteroskedasticity and autocorrelation consistent covariance matrix},
-  doi = {10.2307/1913610},
-  number = {3},
-  pages = {703},
-  volume = {55},
-  publisher = {{JSTOR}},
-}
-
-@Article{Rasmussen-1987,
-  author = {Jeffrey L. Rasmussen},
-  date = {1987},
-  journaltitle = {Psychological Bulletin},
-  title = {Estimating correlation coefficients: Bootstrap and parametric approaches},
-  doi = {10.1037/0033-2909.101.1.136},
-  number = {1},
-  pages = {136--139},
-  volume = {101},
-  abstract = {The bootstrap, a computer-intensive approach to statistical data analysis, has been recommended as an alternative to parametric approaches. Advocates claim it is superior because it is not burdened by potentially unwarranted normal theory assumptions and because it retains information about the form of the original sample. Empirical support for its superiority, however, is quite limited. The present article compares the bootstrap and parametric approaches to estimating confidence intervals and Type I error rates of the correlation coefficient. The parametric approach is superior to the bootstrap under both assumption violation and nonviolation. The bootstrap results in overly restricted confidence intervals and overly liberal Type I error rates.},
-  publisher = {American Psychological Association ({APA})},
-}
-
-@Article{Rogosa-1980,
-  author = {David R. Rogosa},
-  date = {1980-09},
-  journaltitle = {Psychological Bulletin},
-  title = {A critique of cross-lagged correlation},
-  doi = {10.1037/0033-2909.88.2.245},
-  issn = {0033-2909},
-  number = {2},
-  pages = {245--258},
-  volume = {88},
-  abstract = {Comments that cross-lagged correlation (CLC) is not a useful procedure for the analysis of longitudinal panel data. In particular, the difference between CLCs is not a sound basis for causal inference. Demonstrations of the failure of CLC are based mainly on results for the 2-wave, 2-variable longitudinal panel design. Extensions of these results to panels with multiple waves and multiple measures reveal additional problems; each 2-wave snapshot did not yield dependable results. Taken together, the 2-wave analyses were often contradictory and misleading.},
-  publisher = {American Psychological Association (APA)},
-}
-
-@Article{Schenker-1987,
-  author = {Nathaniel Schenker},
-  date = {1987-03},
-  journaltitle = {Journal of the American Statistical Association},
-  title = {Better bootstrap confidence intervals: Comment},
-  doi = {10.2307/2289150},
-  number = {397},
-  pages = {192},
-  volume = {82},
-  publisher = {{JSTOR}},
-}
-
-@Article{Sobel-1982,
-  author = {Michael E. Sobel},
-  date = {1982},
-  journaltitle = {Sociological Methodology},
-  title = {Asymptotic confidence intervals for indirect effects in structural equation models},
-  doi = {10.2307/270723},
-  pages = {290},
-  volume = {13},
-  publisher = {{JSTOR}},
-  annotation = {mediation, mediation-delta},
-}
-
-@Article{Sobel-1986,
-  author = {Michael E. Sobel},
-  date = {1986},
-  journaltitle = {Sociological Methodology},
-  title = {Some new results on indirect effects and their standard errors in covariance structure models},
-  doi = {10.2307/270922},
-  pages = {159},
-  volume = {16},
-  publisher = {{JSTOR}},
-  annotation = {mediation, mediation-delta},
-}
-
-@Article{Sobel-1987,
-  author = {Michael E. Sobel},
-  date = {1987-08},
-  journaltitle = {Sociological Methods {\&} Research},
-  title = {Direct and indirect effects in linear structural equation models},
-  doi = {10.1177/0049124187016001006},
-  number = {1},
-  pages = {155--176},
-  volume = {16},
-  abstract = {This article discusses total indirect effects in linear structural equation models. First, I define these effects. Second, I show how the delta method may be used to obtain the standard errors of the sample estimates of these effects and test hypotheses about the magnitudes of the indirect effects. To keep matters simple, I focus throughout on a particularly simple linear structural equation system; for a treatment of the general case, see Sobel (1986). To illustrate the ideas and results, a detailed example is presented.},
-  publisher = {{SAGE} Publications},
-  annotation = {mediation, mediation-delta},
-}
-
-@Article{Venzon-Moolgavkar-1988,
-  author = {D. J. Venzon and S. H. Moolgavkar},
-  date = {1988},
-  journaltitle = {Applied Statistics},
-  title = {A method for computing profile-likelihood-based confidence intervals},
-  doi = {10.2307/2347496},
-  number = {1},
-  pages = {87},
-  volume = {37},
-  abstract = {The method of constructing confidence regions based on the generalised likelihood ratio statistic is well known for parameter vectors. A similar construction of a confidence interval for a single entry of a vector can be implemented by repeatedly maximising over the other parameters. We present an algorithm for finding these confidence interval endpoints that requires less computation. It employs a modified Newton-Raphson iteration to solve a system of equations that defines the endpoints.},
-  publisher = {{JSTOR}},
-  keywords = {confidence intervals, profile likelihood},
-}
-
-@Article{White-1980,
-  author = {Halbert White},
-  date = {1980-05},
-  journaltitle = {Econometrica},
-  title = {A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity},
-  doi = {10.2307/1912934},
-  number = {4},
-  pages = {817--838},
-  volume = {48},
-  abstract = {This paper presents a parameter covariance matrix estimator which is consistent even when the disturbances of a linear regression model are heteroskedastic. This estimator does not depend on a formal model of the structure of the heteroskedasticity. By comparing the elements of the new estimator to those of the usual covariance estimator, one obtains a direct test for heteroskedasticity, since in the absence of heteroskedasticity, the two estimators will be approximately equal, but will generally diverge otherwise. The test has an appealing least squares interpretation.},
-  publisher = {{JSTOR}},
-  annotation = {regression, regression-hc},
-}
-
-@InBook{Bergstrom-1984,
-  author = {A. R. Bergstrom},
-  booktitle = {Handbook of Econometrics},
-  date = {1984},
-  title = {Continuous time stochastic models and issues of aggregation over time},
-  editor = {Zvi Griliches and Michael D. Intriligator},
-  location = {Amsterdam},
-  volume = {2},
-}
-
-@Book{Cohen-1988,
-  author = {Jacob Cohen},
-  date = {1988},
-  title = {Statistical power analysis for the behavioral sciences},
-  doi = {10.4324/9780203771587},
-  edition = {2},
-  isbn = {9780203771587},
-  publisher = {Routledge},
-  library = {HA29 .C66 1988},
-  keywords = {Social sciences--Statistical methods, Probabilities, Statistical power analysis},
-  addendum = {https://lccn.loc.gov/88012110},
-  abstract = {Statistical Power Analysis is a nontechnical guide to power analysis in research planning that provides users of applied statistics with the tools they need for more effective analysis. The Second Edition includes: \begin{itemize} \item a chapter covering power analysis in set correlation and multivariate methods; \item a chapter considering effect size, psychometric reliability, and the efficacy of ``qualifying'' dependent variables and; \item expanded power and sample size tables for multiple regression/correlation. \end{itemize}},
-}
-
-@Book{NationalResearchCouncil-1982,
-  author = {{National Research Council}},
-  date = {1982-01},
-  title = {An assessment of research-doctorate programs in the {United States}: Social and behavioral sciences},
-  doi = {10.17226/9781},
-  location = {Washington, D.C.},
-  publisher = {National Academies Press},
-  annotation = {data},
-}
-
-@Book{Rubin-1987,
-  author = {Donald B. Rubin},
-  date = {1987-06},
-  title = {Multiple imputation for nonresponse in surveys},
-  doi = {10.1002/9780470316696},
-  isbn = {9780470316696},
-  location = {New York},
-  publisher = {John Wiley {\&} Sons, Inc.},
-  library = {HA31.2 .R83 1987},
-  keywords = {Multiple imputation (Statistics), Nonresponse (Statistics), Social surveys--Response rate},
-  addendum = {https://lccn.loc.gov/86028935},
-  annotation = {Lib-Missing-Data-Books},
-  abstract = {Demonstrates how nonresponse in sample surveys and censuses can be handled by replacing each missing value with two or more multiple imputations. Clearly illustrates the advantages of modern computing to such handle surveys, and demonstrates the benefit of this statistical technique for researchers who must analyze them. Also presents the background for Bayesian and frequentist theory. After establishing that only standard complete-data methods are needed to analyze a multiply-imputed set, the text evaluates procedures in general circumstances, outlining specific procedures for creating imputations in both the ignorable and nonignorable cases. Examples and exercises reinforce ideas, and the interplay of Bayesian and frequentist ideas presents a unified picture of modern statistics.},
-}
-
-@Article{Serlin-Lapsley-1985,
-  author = {Ronald C. Serlin and Daniel K. Lapsley},
-  date = {1985},
-  journaltitle = {American Psychologist},
-  title = {Rationality in psychological research: The good-enough principle},
-  doi = {10.1037/0003-066x.40.1.73},
-  number = {1},
-  pages = {73--83},
-  volume = {40},
-  abstract = {Reexamines methodological and procedural issues raised by P. Meehl (1967; see also PA, Vol 62:5042) that question the rationality of psychological inquiry. Issues concern the asymmetry in theory testing between psychology and physics and the slow progress observed in psychological research. A good-enough principle is proposed to resolve Meehl's methodological paradox, and a more powerful reconstruction of science developed by I. Lakatos (1978) is suggested to account for the actual practice of psychological researchers.},
-  publisher = {American Psychological Association ({APA})},
-  annotation = {robustness},
-}
-
-@Article{Andrews-1991,
-  author = {Donald W. K. Andrews},
-  date = {1991-05},
-  journaltitle = {Econometrica},
-  title = {Heteroskedasticity and autocorrelation consistent covariance matrix estimation},
-  doi = {10.2307/2938229},
-  number = {3},
-  pages = {817},
-  volume = {59},
-  abstract = {This paper is concerned with the estimation of covariance matrices in the presence of heteroskedasticity and autocorrelation of unknown forms. Currently available estimators that are designed for this context depend upon the choice of a lag truncation parameter and a weighting scheme. Results in the literature provide a condition on the growth rate of the lag truncation parameter as $T \to \infty$ that is sufficient for consistency. No results are available, however, regarding the choice of lag truncation parameter for a fixed sample size, regarding data-dependent automatic lag truncation parameters, or regarding the choice of weighting scheme. In consequence, available estimators are not entirely operational and the relative merits of the estimators are unknown. This paper addresses these problems. The asymptotic truncated mean squared errors of estimators in a given class are determined and compared. Asymptotically optimal kernel/weighting scheme and bandwidth/lag truncation parameters are obtained using an asymptotic truncated mean squared error criterion. Using these results, data-dependent automatic bandwidth/lag truncation parameters are introduced. The finite sample properties of the estimators are analyzed via Monte Carlo simulation.},
-  publisher = {{JSTOR}},
-  annotation = {regression, regression-hc},
-}
-
-@Article{Andrews-Monahan-1992,
-  author = {Donald W. K. Andrews and J. Christopher Monahan},
-  date = {1992-07},
-  journaltitle = {Econometrica},
-  title = {An improved heteroskedasticity and autocorrelation consistent covariance matrix estimator},
-  doi = {10.2307/2951574},
-  number = {4},
-  pages = {953},
-  volume = {60},
-  publisher = {{JSTOR}},
-  annotation = {regression, regression-hc},
-}
-
-@Article{Bollen-Stine-1990,
-  author = {Kenneth A. Bollen and Robert Stine},
-  date = {1990},
-  journaltitle = {Sociological Methodology},
-  title = {Direct and indirect effects: Classical and bootstrap estimates of variability},
-  doi = {10.2307/271084},
-  pages = {115},
-  volume = {20},
-  abstract = {The decomposition of effects in structural equation models has been of considerable interest to social scientists. Finite-sample or asymptotic results for the sampling distribution of estimators of direct effects are widely available. Statistical inferences about indirect effects have relied exclusively on asymptotic methods which assume that the limiting distribution of the estimator is normal, with a standard error derived from the delta method. We examine bootstrap procedures as another way to generate standard errors and confidence intervals and to estimate the sampling distributions of estimators of direct and indirect effects. We illustrate the classical and the bootstrap methods with three empirical examples. We find that in a moderately large sample, the bootstrap distribution of an estimator is close to that assumed with the classical and delta methods but that in small samples, there are some differences. Bootstrap methods provide a check on the classical and delta methods when the latter are applied under less than ideal conditions.},
-  publisher = {{JSTOR}},
-}
-
-@Article{Cooper-Frone-Russell-etal-1995,
-  author = {M. Lynne Cooper and Michael R. Frone and Marcia Russell and Pamela Mudar},
-  date = {1995-11},
-  journaltitle = {Journal of Personality and Social Psychology},
-  title = {Drinking to regulate positive and negative emotions: A motivational model of alcohol use},
-  doi = {10.1037/0022-3514.69.5.990},
-  issn = {0022-3514},
-  number = {5},
-  pages = {990--1005},
-  volume = {69},
-  abstract = {The present study proposed and tested a motivational model of alcohol use in which people are hypothesized to use alcohol to regulate both positive and negative emotions. Two central premises underpin this model: (a) that enhancement and coping motives for alcohol use are proximal determinants of alcohol use and abuse through which the influence of expectancies, emotions, and other individual differences are mediated and (b) that enhancement and coping motives represent phenomenologically distinct behaviors having both unique antecedents and consequences. This model was tested in 2 random samples (1 of adults, 1 of adolescents) using a combination of moderated regression and path analysis corrected for measurement error. Results revealed strong support for the hypothesized model in both samples and indicate the importance of distinguishing psychological motives for alcohol use.},
-  publisher = {American Psychological Association (APA)},
-}
-
-@Article{Li-Raghunathan-Rubin-1991,
-  author = {K. H. Li and Trivellore Eachambadi Raghunathan and Donald B. Rubin},
-  date = {1991-12},
-  journaltitle = {Journal of the American Statistical Association},
-  title = {Large-sample significance levels from multiply imputed data using moment-based statistics and an {$F$} reference distribution},
-  doi = {10.1080/01621459.1991.10475152},
-  number = {416},
-  pages = {1065--1073},
-  volume = {86},
-  abstract = {We present a procedure for computing significance levels from data sets whose missing values have been multiply imputed data. This procedure uses moment-based statistics, $m \leq 3$ repeated imputations, and an F reference distribution. When $m = \infty$, we show first that our procedure is essentially the same as the ideal procedure in cases of practical importance and, second, that its deviations from the ideal are basically a function of the coefficient of variation of the canonical ratios of complete to observed information. For small $m$ our procedure's performance is largely governed by this coefficient of variation and the mean of these ratios. Using simulation techniques with small $m$, we compare our procedure's actual and nominal large-sample significance levels and conclude that it is essentially calibrated and thus represents a definite improvement over previously available procedures. Furthermore, we compare the large-sample power of the procedure as a function of $m$ and other factors, such as the dimensionality of the estimand and fraction of missing information, to provide guidance on the choice of the number of imputations; generally, we find the loss of power due to small $m$ to be quite modest in cases likely to occur in practice.},
-  publisher = {Informa {UK} Limited},
-  keywords = {imputation, missing data, nonresponse, tests of significance},
-  annotation = {missing, missing-mi},
-}
-
-@Article{MacKinnon-1994,
-  author = {David P. MacKinnon},
-  date = {1994},
-  journaltitle = {NIDA research monograph},
-  title = {Analysis of mediating variables in prevention and intervention research},
-  pages = {127--153},
-  volume = {139},
-  abstract = {Mediational analysis is one way to test specific hypotheses derived from theory. Although this analysis has been suggested in the prevention literature, mediation analysis rarely is conducted. As the field of prevention matures, more questions about how prevention programs work (or fail to work) will emerge. Studies of mediation can address these questions, thereby reducing the cost and enhancing the impact of prevention programs. The methods outlined here can be applied in the evaluation of primary, secondary, and tertiary prevention programs. Since most prevention studies include measurement of some mediating constructs, mediation effects can be assessed on many existing data sets. Mediation analysis can be used to test ideas about prevention.},
-  keywords = {Data Interpretation, Statistical; Health Behavior; Humans; Models, Statistical; Primary Prevention, methods; Research Design; Substance-Related Disorders, prevention & control},
-  annotation = {mediation-prevention},
-}
-
-@Article{Mackinnon-Dwyer-1993,
-  author = {David P. Mackinnon and James H. Dwyer},
-  date = {1993-04},
-  journaltitle = {Evaluation Review},
-  title = {Estimating mediated effects in prevention studies},
-  doi = {10.1177/0193841x9301700202},
-  number = {2},
-  pages = {144--158},
-  volume = {17},
-  abstract = {The purpose of this article is to describe statistical procedures to assess how prevention and intervention programs achieve their effects. The analyses require the measurement of intervening or mediating variables hypothesized to represent the causal mechanism by which the prevention program achieves its effects. Methods to estimate mediation are illustrated in the evaluation of a health promotion program designed to reduce dietary cholesterol and a school-based drug prevention program. The methods are relatively easy to apply and the information gained from such analyses should add to our understanding of prevention.},
-  publisher = {{SAGE} Publications},
-  annotation = {mediation-prevention},
-}
-
-@Article{Muthen-Curran-1997,
-  author = {Bengt O. Muth{\a'e}n and Patrick J. Curran},
-  date = {1997-12},
-  journaltitle = {Psychological Methods},
-  title = {General longitudinal modeling of individual differences in experimental designs: A latent variable framework for analysis and power estimation.},
-  doi = {10.1037/1082-989x.2.4.371},
-  number = {4},
-  pages = {371--402},
-  volume = {2},
-  abstract = {The generality of latent variable modeling of individual differences in development over time is demonstrated with a particular emphasis on randomized intervention studies. First, a brief overview is given of biostatistical and psychometric approaches to repeated measures analysis. Second, the generality of the psychometric approach is indicated by some nonstandard models. Third, a multiple-population analysis approach is proposed for the estimation of treatment effects. The approach clearly describes the treatment effect as development that differs from normative, control-group development. This framework allows for interactions between treatment and initial status in their effects on development. Finally, an approach for the estimation of power to detect treatment effects in this framework is demonstrated. Illustrations of power calculations are carried out with artificial data, varying the sample sizes, number of timepoints, and treatment effect sizes. Real data are used to illustrate analysis strategies and power calculations. Further modeling extensions are discussed.},
-  publisher = {American Psychological Association ({APA})},
-}
-
-@Article{Oehlert-1992,
-  author = {Gary W. Oehlert},
-  date = {1992-02},
-  journaltitle = {The American Statistician},
-  title = {A note on the delta method},
-  doi = {10.1080/00031305.1992.10475842},
-  issn = {1537-2731},
-  number = {1},
-  pages = {27--29},
-  volume = {46},
-  abstract = {The delta method is an intuitive technique for approximating the moments of functions of random variables. This note reviews the delta method and conditions under which delta-method approximate moments are accurate.},
-  keywords = {approximate moments, asymptotic approximations, Taylor series},
-  publisher = {Informa UK Limited},
-}
-
-@Article{Oud-vandenBercken-Essers-1990,
-  author = {Johan H. Oud and John H. {van den Bercken} and Raymond J. Essers},
-  date = {1990-12},
-  journaltitle = {Applied Psychological Measurement},
-  title = {Longitudinal factor score estimation using the {Kalman} filter},
-  doi = {10.1177/014662169001400406},
-  number = {4},
-  pages = {395--418},
-  volume = {14},
-  abstract = {The advantages of the Kalman filter as a factor score estimator in the presence of longitudinal data are described. Because the Kalman filter presupposes the availability of a dynamic state space model, the state space model is reviewed first, and it is shown to be translatable into the LISREL model. Several extensions of the LISREL model specification are discussed in order to enhance the applicability of the Kalman filter for behavioral research data. The Kalman filter and its main properties are summarized. Relationships are shown between the Kalman filter and two well-known cross-sectional factor score estimators: the regression estimator, and the Bartlett estimator. The indeterminacy problem of factor scores is also discussed in the context of Kalman filtering, and the differences are described between Kalman filtering on the basis of a zero-means and a structured-means LISREL model. By using a structured-means LISREL model, the Kalman filter is capable of estimating absolute latent developmental curves. An educational research example is presented. Index terms: factor score estimation, indeterminacy of factor scores, Kalman filter, L,ISREL longitudinal LISREL modeling, longitudinal factor analysis, state space modeling.},
-  publisher = {{SAGE} Publications},
-}
-
-@Article{Robey-Barcikowski-1992,
-  author = {Randall R. Robey and Robert S. Barcikowski},
-  date = {1992-11},
-  journaltitle = {British Journal of Mathematical and Statistical Psychology},
-  title = {Type {I} error and the number of iterations in {Monte Carlo} studies of robustness},
-  doi = {10.1111/j.2044-8317.1992.tb00993.x},
-  number = {2},
-  pages = {283--288},
-  volume = {45},
-  abstract = {A recent survey of simulation studies concluded that an overwhelming majority of papers do not report a rationale for the decision regarding the number of Monte Carlo iterations. A surprisingly large number of reports do not contain a justifiable definition of robustness and many studies are conducted with an insufficient number of iterations to achieve satisfactory statistical conclusion validity. The implication is that we do not follow our own advice regarding the management of Type I and Type II errors when conducting Monte Carlo experiments. This paper reports a straightforward application of a well-known procedure for the purpose of objectively determining the exact number of iterations necessary to confidently detect departures from robustness in Monte Carlo results. A table of the number of iterations necessary to detect departures from a series of nominal Type I error rates is included.},
-  publisher = {Wiley},
-  annotation = {robustness},
-}
-
-@Article{Shapiro-Browne-1990,
-  author = {A. Shapiro and M.W. Browne},
-  date = {1990},
-  journaltitle = {Linear Algebra and its Applications},
-  title = {On the treatment of correlation structures as covariance structures},
-  doi = {10.1016/0024-3795(90)90362-g},
-  issn = {0024-3795},
-  pages = {567--587},
-  volume = {127},
-  abstract = {Necessary and sufficient conditions are provided for minimum discrepancy methods, intended for covariance structures, to retain their asymptotic properties in the analysis of correlation structures. Examples of correlation structures satisfying these conditions are considered, and alternative discrepancy functions, which are always appropriate for correlation structures under normality assumptions, are discussed.},
-  publisher = {Elsevier BV},
-}
-
-@Article{Stoffer-Wall-1991,
-  author = {David S. Stoffer and Kent D. Wall},
-  title = {Bootstrapping state-space models: {Gaussian} maximum likelihood estimation and the {Kalman} filter},
-  number = {416},
-  pages = {1024--1033},
-  volume = {86},
-  date = {1991-12},
-  doi = {10.1080/01621459.1991.10475148},
-  journaltitle = {Journal of the American Statistical Association},
-  abstract = {The bootstrap is proposed as a method for assessing the precision of Gaussian maximum likelihood estimates of the parameters of linear state-space models. Our results also apply to autoregressive moving average models, since they are a special case of state-space models. It is shown that for a time-invariant, stable system, the bootstrap applied to the innovations yields asymptotically consistent standard errors. To investigate the performance of the bootstrap for finite sample lengths, simulation results are presented for a two-state model with 50 and 100 observations; two cases are investigated, one with real characteristic roots and one with complex characteristic roots. The bootstrap is then applied to two real data sets, one used in a test for efficient capital markets and one used to develop an autoregressive integrated moving average model for quarterly earnings data. We find the bootstrap to be of definite value over the conventional asymptotics.},
-  publisher = {Informa {UK} Limited},
-}
-
-@Article{Tibshirani-1996,
-  author = {Robert Tibshirani},
-  date = {1996-01},
-  journaltitle = {Journal of the Royal Statistical Society Series B: Statistical Methodology},
-  title = {Regression shrinkage and selection via the lasso},
-  doi = {10.1111/j.2517-6161.1996.tb02080.x},
-  issn = {1467-9868},
-  number = {1},
-  pages = {267--288},
-  volume = {58},
-  abstract = {We propose a new method for estimation in linear models. The ‘lasso’ minimizes the residual sum of squares subject to the sum of the absolute value of the coefficients being less than a constant. Because of the nature of this constraint it tends to produce some coefficients that are exactly 0 and hence gives interpretable models. Our simulation studies suggest that the lasso enjoys some of the favourable properties of both subset selection and ridge regression. It produces interpretable models like subset selection and exhibits the stability of ridge regression. There is also an interesting relationship with recent work in adaptive function estimation by Donoho and Johnstone. The lasso idea is quite general and can be applied in a variety of statistical models: extensions to generalized regression models and tree-based models are briefly described.},
-  publisher = {Oxford University Press (OUP)},
-}
-
-@Article{VonKorff-Simon-1996,
-  author = {Michael {Von Korff} and Gregory Simon},
-  date = {1996-06},
-  journaltitle = {British Journal of Psychiatry},
-  title = {The Relationship Between Pain and Depression},
-  doi = {10.1192/s0007125000298474},
-  issn = {1472-1465},
-  number = {S30},
-  pages = {101--108},
-  volume = {168},
-  abstract = {Empirical results from epidemiological studies on pain–depression comorbidity in primary care and population samples have shown that: (a) pain is as strongly associated with anxiety as with depressive disorders; (b) characteristics that most strongly predict depression are diffuseness of pain and the extent to which pain interferes with activities; (c) certain psychological symptoms (low energy, disturbed sleep, worry) are prominent among pain patients, while others (guilt, loneliness) are not; (d) depression and pain dysfunction are evident early in the natural history of pain, but dysfunction and distress are often transient; and (e) among initially dysfunctional pain patients whose dysfunction is chronic, depression levels do not improve but neither do they increase over time with chronicity alone. These results seem consistent with these mechanisms of pain–depression comorbidity; (1) a trait of susceptibility to both dysphoric physical symptoms (including pain) and psychological symptoms (including depression), and a state of somatosensory amplification in which psychological distress amplifies dysphoric physical sensations (including pain); (2) psychological illness and behavioural dysfunction being interrelated features of a maladaptive response to pain evident early in the natural history of the condition, and often resolving during an early recovery phase; (3) pain constituting a significant physical and psychological stressor that may induce or exacerbate psychological distress. Thus, pain and psychological illness should be viewed as having reciprocal psychological and behavioural effects involving both processes of illness expression and adaption, as well as pain having specific effects on emotional state and behavioural function.},
-  publisher = {Royal College of Psychiatrists},
-}
-
-@InBook{Arbuckle-1996,
-  author = {James L. Arbuckle},
-  booktitle = {Advanced structural equation modeling},
-  date = {1996},
-  title = {Full information estimation in the presence of incomplete data},
-  doi = {10.4324/9781315827414},
-  editor = {George A. Marcoulides and Randall E. Schumacker},
-}
-
-@Book{Brockwell-Davis-1991,
-  author = {Peter J. Brockwell and Richard A. Davis},
-  date = {1991},
-  title = {Time series: Theory and methods},
-  doi = {10.1007/978-1-4419-0320-4},
-  isbn = {9781441903204},
-  publisher = {Springer New York},
-  abstract = {This edition contains a large number of additions and corrections scattered throughout the text, including the incorporation of a new chapter on state-space models. The companion diskette for the IBM PC has expanded into the software package ITSM: An Interactive Time Series Modelling Package for the PC, which includes a manual and can be ordered from Springer-Verlag. * We are indebted to many readers who have used the book and programs and made suggestions for improvements. Unfortunately there is not enough space to acknowledge all who have contributed in this way; however, special mention must be made of our prize-winning fault-finders, Sid Resnick and F. Pukelsheim. Special mention should also be made of Anthony Brockwell, whose advice and support on computing matters was invaluable in the preparation of the new diskettes. We have been fortunate to work on the new edition in the excellent environments provided by the University of Melbourne and Colorado State University. We thank Duane Boes particularly for his support and encouragement throughout, and the Australian Research Council and National Science Foundation for their support of research related to the new material. We are also indebted to Springer-Verlag for their constant support and assistance in preparing the second edition.},
-  issn = {0172-7397},
-  journaltitle = {Springer Series in Statistics},
-}
-
-@Book{Collins-Horn-1991,
-  editor = {Linda M. Collins and John L. Horn},
-  publisher = {American Psychological Association},
-  title = {Best methods for the analysis of change: Recent advances, unanswered questions, future directions},
-  date = {1991},
-  location = {Washington, DC},
-  doi = {10.1037/10099-000},
-  isbn = {978-1-55798-113-4},
-  library = {BF637.C4 B48 1991},
-  addendum = {https://lccn.loc.gov/91020462},
-  abstract = {The chapters making up this book represent a rich offering of current research on the analysis of change.},
-  keywords = {Change (Psychology), Psychometrics},
-}
-
-@Book{Davidson-MacKinnon-1993,
-  author = {Russell Davidson and James G. MacKinnon},
-  publisher = {Oxford University Press},
-  title = {Estimation and inference in econometrics},
-  date = {1993},
-  location = {New York, NY},
-  isbn = {9780195060119},
-  library = {HB139 .D368 1993},
-  keywords = {Econometrics},
-  addendum = {https://lccn.loc.gov/92012048},
-  annotation = {regression, regression-hc},
-}
-
-@Book{Davison-Hinkley-1997,
-  author = {Anthony Christopher Davison and David Victor Hinkley},
-  publisher = {Cambridge University Press},
-  title = {Bootstrap methods and their application},
-  series = {Cambridge Series in Statistical and Probabilistic Mathematics},
-  date = {1997},
-  location = {Cambridge and New York, NY, USA },
-  doi = {10.1017/CBO9780511802843},
-  isbn = {9780521573917},
-  library = {QA276.8 .D38 1997},
-  keywords = {Bootstrap (Statistics)},
-  addendum = {https://lccn.loc.gov/96030064},
-  abstract = {Bootstrap methods are computer-intensive methods of statistical analysis, which use simulation to calculate standard errors, confidence intervals, and significance tests. The methods apply for any level of modelling, and so can be used for fully parametric, semiparametric, and completely nonparametric analysis. This 1997 book gives a broad and up-to-date coverage of bootstrap methods, with numerous applied examples, developed in a coherent way with the necessary theoretical basis. Applications include stratified data; finite populations; censored and missing data; linear, nonlinear, and smooth regression models; classification; time series and spatial problems. Special features of the book include: extensive discussion of significance tests and confidence intervals; material on various diagnostic methods; and methods for efficient computation, including improved Monte Carlo simulation. Each chapter includes both practical and theoretical exercises. S-Plus programs for implementing the methods described in the text are available from the supporting website.},
-  annotation = {bootstrap},
-}
-
-@Book{Efron-Tibshirani-1993,
-  author = {Bradley Efron and Robert J. Tibshirani},
-  publisher = {Chapman \& Hall},
-  title = {An introduction to the bootstrap},
-  series = {Monographs on statistics and applied probability ; 57},
-  date = {1993},
-  location = {New York},
-  doi = {10.1201/9780429246593},
-  isbn = {9780412042317},
-  library = {QA276.8 .E3745 1993},
-  addendum = {https://lccn.loc.gov/93004489},
-  abstract = {Statistics is a subject of many uses and surprisingly few effective practitioners. The traditional road to statistical knowledge is blocked, for most, by a formidable wall of mathematics. The approach in An Introduction to the Bootstrap avoids that wall. It arms scientists and engineers, as well as statisticians, with the computational techniques they need to analyze and understand complicated data sets.},
-  keywords = {Bootstrap (Statistics)},
-}
-
-@Book{Finkel-1995,
-  author = {Steven E. Finkel},
-  date = {1995},
-  title = {Causal analysis with panel data},
-  isbn = {9780803938960},
-  location = {Thousand Oaks, CA},
-  number = {105},
-  pagetotal = {98},
-  publisher = {Sage},
-  series = {Quantitative applications in the social sciences},
-  abstract = {Panel data, which consist of information gathered from the same individuals or units at several different points in time, are commonly used in the social sciences to test theories of individual and social change. This book provides an overview of models that are appropriate for the analysis of panel data, focusing specifically on the area where panels offer major advantages over cross-sectional research designs: the analysis of causal interrelationships among variables. Without ``painting'' panel data as a cure all for the problems of causal inference in nonexperimental research, the author shows how panel data offer multiple ways of strengthening the causal inference process. In addition, he shows how to estimate models that contain a variety of lag specifications, reciprocal effects, and imperfectly measured variables. Appropriate for readers who are familiar with multiple regression analysis and causal modeling, this book will offer readers the highlights of developments in this technique from diverse disciplines to analytic traditions.},
-}
-
-@InBook{Gollob-Reichardt-1991,
-  author = {Harry F. Gollob and Charles S. Reichardt},
-  editor = {Linda M. Collins and John L. Horn},
-  publisher = {American Psychological Association},
-  title = {Interpreting and estimating indirect effects assuming time lags really matter},
-  booktitle = {Best methods for the analysis of change: Recent advances, unanswered questions, future directions},
-  date = {1991},
-  location = {Washington, DC},
-  doi = {10.1037/10099-015},
-  isbn = {978-1-55798-113-4},
-  pages = {243--259},
-}
-
-@Book{Hamilton-1994,
-  author = {James D. Hamilton},
-  date = {1994},
-  title = {Time series analysis},
-  isbn = {9780691218632},
-  location = {Princeton, NJ},
-  pagetotal = {1799},
-  publisher = {Princeton University Press},
-  ppn_gvk = {1733186549},
-}
-
-@Book{Harvey-1990,
-  author = {Andrew C. Harvey},
-  date = {1990-02},
-  title = {Forecasting, structural time series models and the {Kalman} filter},
-  doi = {10.1017/cbo9781107049994},
-  abstract = {In this book, Andrew Harvey sets out to provide a unified and comprehensive theory of structural time series models. Unlike the traditional ARIMA models, structural time series models consist explicitly of unobserved components, such as trends and seasonals, which have a direct interpretation. As a result the model selection methodology associated with structural models is much closer to econometric methodology. The link with econometrics is made even closer by the natural way in which the models can be extended to include explanatory variables and to cope with multivariate time series. From the technical point of view, state space models and the Kalman filter play a key role in the statistical treatment of structural time series models. The book includes a detailed treatment of the Kalman filter. This technique was originally developed in control engineering, but is becoming increasingly important in fields such as economics and operations research. This book is concerned primarily with modelling economic and social time series, and with addressing the special problems which the treatment of such series poses. The properties of the models and the methodological techniques used to select them are illustrated with various applications. These range from the modellling of trends and cycles in US macroeconomic time series to to an evaluation of the effects of seat belt legislation in the UK.},
-  publisher = {Cambridge University Press},
-}
-
-@InBook{Kenny-Kashy-Bolger-1998,
-  author = {David A. Kenny and Deborah A. Kashy and Niall Bolger},
-  booktitle = {The handbook of social psychology},
-  date = {1998},
-  title = {Data analysis in social psychology},
-  edition = {4},
-  editor = {Daniel Todd Gilbert and Gardner Lindzey and Susan T. Fiske},
-  isbn = {978-0195213768},
-  location = {Boston, MA},
-  pages = {233--265},
-  publisher = {McGraw Hill},
-  abstract = {Focuses on structural equation modeling and multilevel modeling. The chapter begins by discussing nonindependence of observations in group research. After considering ANOVA solutions, multilevel modes that can be used to estimate many forms of grouped data are discussed. Identification in structural equation models and the problem of testing mediation are discussed.},
-}
-
-@Book{Kim-Nelson-1999,
-  author = {Chang-Jin Kim and Charles R. Nelson},
-  publisher = {The {MIT} Press},
-  title = {State-space models with regime switching: Classical and {Gibbs}-sampling approaches with applications},
-  isbn = {9780262277112},
-  date = {1999},
-  doi = {10.7551/mitpress/6444.001.0001},
-  library = {HB135 .K515 1999},
-  addendum = {https://lccn.loc.gov/98044193},
-  abstract = {Both state-space models and Markov switching models have been highly productive paths for empirical research in macroeconomics and finance. This book presents recent advances in econometric methods that make feasible the estimation of models that have both features. One approach, in the classical framework, approximates the likelihood function; the other, in the Bayesian framework, uses Gibbs-sampling to simulate posterior distributions from data.
-  The authors present numerous applications of these approaches in detail: decomposition of time series into trend and cycle, a new index of coincident economic indicators, approaches to modeling monetary policy uncertainty, Friedman's "plucking" model of recessions, the detection of turning points in the business cycle and the question of whether booms and recessions are duration-dependent, state-space models with heteroskedastic disturbances, fads and crashes in financial markets, long-run real exchange rates, and mean reversion in asset returns.},
-  keywords = {Economics--Mathematical models, State-space methods, Heteroscedasticity, Sampling (Statistics), Econometrics},
-}
-
-@Book{Ollendick-Prinz-1996,
-  date = {1996},
-  title = {Advances in clinical child psychology},
-  doi = {10.1007/978-1-4613-0323-7},
-  editor = {Thomas H. Ollendick and Ronald J. Prinz},
-  isbn = {9781461303237},
-  publisher = {Springer US},
-  subtitle = {Volume 18},
-  abstract = {As in past volumes, the current volume of Advances in Clinical Child Psychology strives for a broad range of timely topics on the study and treatment of children, adolescents, and families. Volume 18 includes a new array of contributions covering issues pertaining to treatment, etiol­ ogy, and psychosocial context. The first two contributions address conduct problems. Using qualitative research methods, Webster-Stratton and Spitzer take a unique look at what it is like to be a parent of a young child with conduct problems as well as what it is like to be a participant in a parent training program. Chamberlain presents research on residential and foster-care treatment for adolescents with conduct disorder. As these chapters well reflect, Webster-Stratton, Spitzer, and Chamberlain are all veterans of programmatic research on treatment of child and adolescent conduct problems. Wills and Filer describe an emerging stress-coping model that has been applied to adolescent substance use and is empirically well justified. This model has implications for furthering intervention strategies as well as enhancing our scientific understanding of adolescents and the development of substance abuse. Foster, Martinez, and Kulberg confront the issue that researchers face pertaining to race and ethnicity as it relates to our understanding of peer relations. This chapter addresses some of the measurement and conceptual challenges relative to assessing ethnic variables and relating these to social cognitions of peers, friendship patterns, and peer acceptance.},
-}
-
-@InBook{Robinson-Riley-1999,
-  author = {Michael E. Robinson and Joseph III L. Riley},
-  booktitle = {Psychosocial factors in pain: Critical perspectives},
-  date = {1999},
-  title = {The role of emotion in pain},
-  editor = {Robert J. Gatchel and Dennis C. Turk},
-  pages = {74--88},
-  publisher = {The Guilford Press},
-  abstract = {The purpose of this chapter is to review the role of negative emotion in the experience of pain. The authors focus their attention on the broad categories of depression, anxiety, and anger. They will also discuss several issues and controversies surrounding the role of negative emotion in pain. These include (1) the prevalence of negative emotion in patients with pain conditions, (2) the measurement of negative affect in pain conditions, (3) the role of negative emotion in disability and outcomes, (4) causal relationships between pain and negative affect, and (5) models incorporating negative emotion and pain.},
-}
-
-@Book{Schafer-1997,
-  author = {Joseph L. Schafer},
-  date = {1997-08},
-  title = {Analysis of incomplete multivariate data},
-  doi = {10.1201/9780367803025},
-  isbn = {9780367803025},
-  abstract = {The last two decades have seen enormous developments in statistical methods for incomplete data. The EM algorithm and its extensions, multiple imputation, and Markov Chain Monte Carlo provide a set of flexible and reliable tools from inference in large classes of missing-data problems. Yet, in practical terms, those developments have had surprisingly little impact on the way most data analysts handle missing values on a routine basis.
-  Analysis of Incomplete Multivariate Data helps bridge the gap between theory and practice, making these missing-data tools accessible to a broad audience. It presents a unified, Bayesian approach to the analysis of incomplete multivariate data, covering datasets in which the variables are continuous, categorical, or both. The focus is applied, where necessary, to help readers thoroughly understand the statistical properties of those methods, and the behavior of the accompanying algorithms.
-  All techniques are illustrated with real data examples, with extended discussion and practical advice. All of the algorithms described in this book have been implemented by the author for general use in the statistical languages S and S Plus. The software is available free of charge on the Internet.},
-  publisher = {Chapman and Hall/CRC},
-}
-
-@InBook{Wills-Filer-1996,
-  author = {Thomas Ashby Wills and Marnie Filer},
-  booktitle = {Advances in Clinical Child Psychology},
-  date = {1996},
-  title = {Stress-Coping Model of Adolescent Substance Use},
-  doi = {10.1007/978-1-4613-0323-7_3},
-  isbn = {9781461303237},
-  pages = {91--132},
-  publisher = {Springer US},
-  abstract = {The goal of this chapter is to discuss research on adolescent substance use from the perspective of a stress-coping model. In addition to the long-term health implications of cigarette smoking and alcohol use (e.g., Helzer, 1987; U.S. Department of Health and Human Services, 1988), adolescent substance use is of concern to clinical psychology both because early onset of substance use has prognostic significance for later substance abuse problems (Robins \& Przybeck, 1985) and because substance use tends to be correlated with other problem behaviors, including aggressive and depressive symptomatology (e.g., see Cole \& Carpentieri, 1990; Loeber, 1988). Thus, research aimed at a better understanding of adolescent substance use has relevance for informing research on other types of child behavior problems.},
-}
-
-@Article{Andrews-2000,
-  author = {Donald W. K. Andrews},
-  date = {2000-03},
-  journaltitle = {Econometrica},
-  title = {Inconsistency of the bootstrap	when a parameter is on the boundary of the parameter space},
-  doi = {10.1111/1468-0262.00114},
-  number = {2},
-  pages = {399--405},
-  volume = {68},
-  publisher = {The Econometric Society},
-}
-
-@Article{Baker-Piper-McCarthy-etal-2004,
-  author = {Timothy B. Baker and Megan E. Piper and Danielle E. McCarthy and Matthew R. Majeskie and Michael C. Fiore},
-  date = {2004},
-  journaltitle = {Psychological Review},
-  title = {Addiction motivation reformulated: An affective processing model of negative reinforcement},
-  doi = {10.1037/0033-295x.111.1.33},
-  issn = {0033-295X},
-  number = {1},
-  pages = {33--51},
-  volume = {111},
-  abstract = {This article offers a reformulation of the negative reinforcement model of drug addiction and proposes that the escape and avoidance of negative affect is the prepotent motive for addictive drug use. The authors posit that negative affect is the motivational core of the withdrawal syndrome and argue that, through repeated cycles of drug use and withdrawal, addicted organisms learn to detect interoceptive cues of negative affect preconsciously. Thus, the motivational basis of much drug use is opaque and tends not to reflect cognitive control. When either stressors or abstinence causes negative affect to grow and enter consciousness, increasing negative affect biases information processing in ways that promote renewed drug administration. After explicating their model, the authors address previous critiques of negative reinforcement models in light of their reformulation and review predictions generated by their model.},
-  publisher = {American Psychological Association (APA)},
-}
-
-@Article{Bauer-Curran-2005,
-  author = {Daniel J. Bauer and Patrick J. Curran},
-  date = {2005-07},
-  journaltitle = {Multivariate Behavioral Research},
-  title = {Probing interactions in fixed and multilevel regression: Inferential and graphical techniques},
-  doi = {10.1207/s15327906mbr4003_5},
-  issn = {1532-7906},
-  number = {3},
-  pages = {373--400},
-  volume = {40},
-  abstract = {Many important research hypotheses concern conditional relations in which the effect of one predictor varies with the value of another. Such relations are commonly evaluated as multiplicative interactions and can be tested in both fixed- and random-effects regression. Often, these interactive effects must be further probed to fully explicate the nature of the conditional relation. The most common method for probing interactions is to test simple slopes at specific levels of the predictors. A more general method is the Johnson-Neyman (J-N) technique. This technique is not widely used, however, because it is currently limited to categorical by continuous interactions in fixed-effects regression and has yet to be extended to the broader class of random-effects regression models. The goal of our article is to generalize the J-N technique to allow for tests of a variety of interactions that arise in both fixed- and random-effects regression. We review existing methods for probing interactions, explicate the analytic expressions needed to expand these tests to a wider set of conditions, and demonstrate the advantages of the J-N technique relative to simple slopes with three empirical examples.},
-  publisher = {Informa UK Limited},
-}
-
-@Article{Bauer-Preacher-Gil-2006,
-  author = {Daniel J. Bauer and Kristopher J. Preacher and Karen M. Gil},
-  date = {2006},
-  journaltitle = {Psychological Methods},
-  title = {Conceptualizing and testing random indirect effects and moderated mediation in multilevel models: New procedures and recommendations},
-  doi = {10.1037/1082-989x.11.2.142},
-  number = {2},
-  pages = {142--163},
-  volume = {11},
-  abstracts = {The authors propose new procedures for evaluating direct, indirect, and total effects in multilevel models when all relevant variables are measured at Level 1 and all effects are random. Formulas are provided for the mean and variance of the indirect and total effects and for the sampling variances of the average indirect and total effects. Simulations show that the estimates are unbiased under most conditions. Confidence intervals based on a normal approximation or a simulated sampling distribution perform well when the random effects are normally distributed but less so when they are nonnormally distributed. These methods are further developed to address hypotheses of moderated mediation in the multilevel context. An example demonstrates the feasibility and usefulness of the proposed methods.},
-  publisher = {American Psychological Association ({APA})},
-  keywords = {multilevel model, hierarchical linear model, indirect effect, mediation, moderated mediation},
-  annotation = {mediation, mediation-multilevel},
-}
-
-@Article{Bentler-2007,
-  author = {Peter M. Bentler},
-  date = {2007},
-  journaltitle = {American Psychologist},
-  title = {Can scientifically useful hypotheses be tested with correlations?},
-  doi = {10.1037/0003-066x.62.8.772},
-  issn = {0003-066X},
-  number = {8},
-  pages = {772--782},
-  volume = {62},
-  abstract = {Historically, interesting psychological theories have been phrased in terms of correlation coefficients, which are standardized covariances, and various statistics derived from them. Methodological practice over the last 40 years, however, has suggested it is necessary to transform such theories into hypotheses on covariances and statistics derived from them. This complication turns out to be unnecessary, because the methodology now exists to test hypotheses on latent structures of correlations directly. Two examples are given. Limitations of correlation structures are also noted.},
-  publisher = {American Psychological Association (APA)},
-}
-
-@Article{Boker-2002,
-  author = {Steven M. Boker},
-  date = {2002-07},
-  journaltitle = {Multivariate Behavioral Research},
-  title = {Consequences of continuity: The hunt for intrinsic properties within parameters of dynamics in psychological processes},
-  doi = {10.1207/s15327906mbr3703_5},
-  issn = {1532-7906},
-  number = {3},
-  pages = {405--422},
-  volume = {37},
-  abstract = {Notes that over 300 yrs ago Sir Isaac Newton wrote of a simple set of relations that could be used to predict the motions of objects relative to one another. The main advantage of this insight was that the relationship between the movements of the planets and stars could be predicted much more simply than with the accurate, but cumbersome Ptolemaic calculations. But perhaps the most important consequence of the acceptance of Newton's insight was that intrinsic properties such as mass could be distinguished from measurements such as weight. A similar revolution in thinking appears to be underway in the behavioral sciences. It is likely that intensive longitudinal measurement coupled with dynamical systems analyses will lead to simplified but powerful models of the evolution of psychological processes. In this case, it is reasonable to expect that a set of intrinsic psychological properties may be able to be extracted from the parameters of successful dynamical systems models. The purpose of this article is to issue an invitation to the hunt, to provide a tentative map as to where the game might likely be found, and blow a call on the hunting horn.},
-  publisher = {Informa UK Limited},
-}
-
-@Article{Bolger-Davis-Rafaeli-2003,
-  author = {Niall Bolger and Angelina Davis and Eshkol Rafaeli},
-  date = {2003-02},
-  journaltitle = {Annual Review of Psychology},
-  title = {Diary methods: Capturing life as it is lived},
-  doi = {10.1146/annurev.psych.54.101601.145030},
-  issn = {1545-2085},
-  number = {1},
-  pages = {579--616},
-  volume = {54},
-  abstract = {In diary studies, people provide frequent reports on the events and experiences of their daily lives. These reports capture the particulars of experience in a way that is not possible using traditional designs. We review the types of research questions that diary methods are best equipped to answer, the main designs that can be used, current technology for obtaining diary reports, and appropriate data analysis strategies. Major recent developments include the use of electronic forms of data collection and multilevel models in data analysis. We identify several areas of research opportunities: 1. in technology, combining electronic diary reports with collateral measures such as ambulatory heart rate; 2. in measurement, switching from measures based on between-person differences to those based on within-person changes; and 3. in research questions, using diaries to (a) explain why people differ in variability rather than mean level, (b) study change processes during major events and transitions, and (c) study interpersonal processes using dyadic and group diary methods.},
-  publisher = {Annual Reviews},
-  keywords = {experience sampling method, longitudinal designs, electronic data collection, self-report measures, multilevel models, diary},
-}
-
-@Article{Casella-2003,
-  author = {George Casella},
-  date = {2003-05},
-  journaltitle = {Statistical Science},
-  title = {Introduction to the silver anniversary of the bootstrap},
-  doi = {10.1214/ss/1063994967},
-  number = {2},
-  volume = {18},
-  publisher = {Institute of Mathematical Statistics},
-}
-
-@Article{Efron-2003,
-  author = {Bradley Efron},
-  date = {2003-05},
-  journaltitle = {Statistical Science},
-  title = {Second thoughts on the bootstrap},
-  doi = {10.1214/ss/1063994968},
-  number = {2},
-  volume = {18},
-  abstract = {This brief review article is appearing in the issue of Statistical Science that marks the 25th anniversary of the bootstrap. It concerns some of the theoretical and methodological aspects of the bootstrap and how they might influence future work in statistics.},
-  publisher = {Institute of Mathematical Statistics},
-  keywords = {ABC method, BCA, bootstrap confidence intervals, objective Bayes, plug-in principle},
-}
-
-@Article{Davison-Hinkley-Young-2003,
-  author = {Anthony Christopher Davison and David Victor Hinkley and George Alastair Young},
-  date = {2003-05},
-  journaltitle = {Statistical Science},
-  title = {Recent developments in bootstrap methodology},
-  doi = {10.1214/ss/1063994969},
-  number = {2},
-  volume = {18},
-  abstract = {Ever since its introduction, the bootstrap has provided both a powerful set of solutions for practical statisticians, and a rich source of theoretical and methodological problems for statistics. In this article, some recent developments in bootstrap methodology are reviewed and discussed. After a brief introduction to the bootstrap, we consider the following topics at varying levels of detail: the use of bootstrapping for highly accurate parametric inference; theoretical properties of nonparametric bootstrapping with unequal probabilities; subsampling and the $m$ out of $n$ bootstrap; bootstrap failures and remedies for superefficient estimators; recent topics in significance testing; bootstrap improvements of unstable classifiers and resampling for dependent data. The treatment is telegraphic rather than exhaustive.},
-  publisher = {Institute of Mathematical Statistics},
-  keywords = {bagging, bootstrap, conditional inference, empirical strength probability, parametric bootstrap, subsampling, superefficient estimator, tilted distribution, time series, weighted bootstrap},
-}
-
-@Article{Hall-2003,
-  author = {Peter Hall},
-  date = {2003-05},
-  journaltitle = {Statistical Science},
-  title = {A short prehistory of the bootstrap},
-  doi = {10.1214/ss/1063994970},
-  number = {2},
-  volume = {18},
-  abstract = {The contemporary development of bootstrap methods, from the time of Efron's early articles to the present day, is well documented and widely appreciated. Likewise, the relationship of bootstrap techniques to certain early work on permutation testing, the jackknife and cross-validation is well understood. Less known, however, are the connections of the bootstrap to research on survey sampling for spatial data in the first half of the last century or to work from the 1940s to the 1970s on subsampling and resampling. In a selective way, some of these early linkages will be explored, giving emphasis to developments with which the statistics community tends to be less familiar. Particular attention will be paid to the work of P. C. Mahalanobis,	whose development in the 1930s and 1940s of moving-block sampling methods for spatial data has a range of interesting features, and to contributions of other scientists who, during the next 40 years, developed half-sampling, subsampling and resampling methods.},
-  publisher = {Institute of Mathematical Statistics},
-  keywords = {block bootstrap, computer-intensive statistics, confidence interval, half-sample, Monte Carlo, moving block, permutation test, resample, resampling, sample survey, statistical experimentation, sub-sample},
-}
-
-@Article{Boos-2003,
-  author = {Dennis D. Boos},
-  date = {2003-05},
-  journaltitle = {Statistical Science},
-  title = {Introduction to the bootstrap world},
-  doi = {10.1214/ss/1063994971},
-  number = {2},
-  volume = {18},
-  abstract = {The bootstrap has made a fundamental impact on how we carry out statistical inference in problems without analytic solutions. This fact is illustrated with examples and comments that emphasize the parametric bootstrap and hypothesis testing.},
-  publisher = {Institute of Mathematical Statistics},
-  keywords = {confidence intervals, hypothesis testing, resamples, resampling, statistical inference},
-}
-
-@Article{Beran-2003,
-  author = {Rudolf Beran},
-  date = {2003-05},
-  journaltitle = {Statistical Science},
-  title = {The impact of the bootstrap on statistical algorithms and theory},
-  doi = {10.1214/ss/1063994972},
-  number = {2},
-  volume = {18},
-  abstract = {Bootstrap ideas yield remarkably effective algorithms for realizing certain programs in statistics. These include the construction of (possibly simultaneous) confidences sets and tests in classical models for which exact or asymptotic distribution theory is intractable. Success of the bootstrap, in the sense of doing what is expected under a probability model for data, is not universal. Modifications to Efron's definition of the bootstrap are needed to make the idea work for modern procedures that are not classically regular.},
-  publisher = {Institute of Mathematical Statistics},
-  keywords = {confidence sets, convolution theorem, double bootstrap, error in coverage probability, local asymptotic equivariance, simultaneous confidence sets},
-}
-
-@Article{Lele-2003,
-  author = {Subhash R. Lele},
-  date = {2003-05},
-  journaltitle = {Statistical Science},
-  title = {Impact of bootstrap on the estimating functions},
-  doi = {10.1214/ss/1063994973},
-  number = {2},
-  volume = {18},
-  abstract = {Estimating functions form an attractive statistical methodology because of their dependence on only a few features of the underlying probabilistic structure. They also put a premium on developing methods that obtain model-robust confidence intervals. Bootstrap and jackknife ideas can be fruitfully used toward this purpose. Another important area in which bootstrap has proved its use is in the context of detecting the problem of multiple roots and searching for the consistent root of an estimating function. In this article, I review, compare and contrast various approaches for bootstrapping estimating functions.},
-  publisher = {Institute of Mathematical Statistics},
-  keywords = {model-robust confidence intervals, multiple roots, stochastic processes, Wu's wild bootstrap},
-}
-
-@Article{Shao-2003,
-  author = {Jun Shao},
-  date = {2003-05},
-  journaltitle = {Statistical Science},
-  title = {Impact of the bootstrap on sample surveys},
-  doi = {10.1214/ss/1063994974},
-  number = {2},
-  volume = {18},
-  abstract = {This article discusses the impact of the bootstrap on sample surveys and introduces some of the main developments of the bootstrap methodology for sample surveys in the last twenty five years.},
-  publisher = {Institute of Mathematical Statistics},
-  keywords = {easy implementation, imputation, robustness, stratification, variance estimation, without replacement sampling},
-}
-
-@Article{Lahiri-2003,
-  author = {Partha Lahiri},
-  date = {2003-05},
-  journaltitle = {Statistical Science},
-  title = {On the impact of bootstrap in survey sampling and small-area estimation},
-  doi = {10.1214/ss/1063994975},
-  number = {2},
-  volume = {18},
-  abstract = {Development of valid bootstrap procedures has been a challenging problem for survey samplers for the last two decades. This is due to the fact that in surveys we constantly face various complex issues such as complex correlation structure induced by the survey design, weighting, imputation, small-area estimation, among others. In this paper, we critically review various bootstrap methods developed to deal with these challenging issues. We discuss two applications where the bootstrap has been found to be effective.},
-  publisher = {Institute of Mathematical Statistics},
-  keywords = {imputation, resampling, small-area estimation, survey weights},
-}
-
-@Article{Horowitz-2003,
-  author = {Joel L. Horowitz},
-  date = {2003-05},
-  journaltitle = {Statistical Science},
-  title = {The bootstrap in econometrics},
-  doi = {10.1214/ss/1063994976},
-  number = {2},
-  volume = {18},
-  abstract = {This paper presents examples of problems in estimation and hypothesis testing that demonstrate the use and performance of the bootstrap in econometric settings. The examples are illustrated with two empirical applications. The paper concludes with a discussion of topics on which further research is needed.},
-  publisher = {Institute of Mathematical Statistics},
-  keywords = {asymptotic distribution, asymptotic refinement, hypothesis test},
-}
-
-@Article{Politis-2003,
-  author = {Dimitris N. Politis},
-  date = {2003-05},
-  journaltitle = {Statistical Science},
-  title = {The impact of bootstrap methods on time series analysis},
-  doi = {10.1214/ss/1063994977},
-  number = {2},
-  volume = {18},
-  abstract = {Sparked by Efron's seminal paper, the decade of the 1980s was a period of active research on bootstrap methods for independent data--mainly i.i.d. or regression set-ups. By contrast, in the 1990s much research was directed towards resampling dependent data, for example, time series and random fields. Consequently, the availability of valid nonparametric inference procedures based on resampling and/or subsampling has freed practitioners from the necessity of resorting to simplifying assumptions such as normality or linearity that may be misleading.},
-  publisher = {Institute of Mathematical Statistics},
-  keywords = {block bootstrap, confidence intervals, large sample inference, linear models, nonparametric estimation, resampling, subsampling},
-}
-
-@Article{Ernst-Hutson-2003,
-  author = {Michael D. Ernst and Alan D. Hutson},
-  date = {2003-05},
-  journaltitle = {Statistical Science},
-  title = {Utilizing a quantile function approach to obtain exact bootstrap solutions},
-  doi = {10.1214/ss/1063994978},
-  number = {2},
-  volume = {18},
-  abstract = {The popularity of the bootstrap is due in part to its wide applicability and the ease of implementing resampling procedures on modern computers. But careful reading of Efron (1979) will show that at its heart, the bootstrap is a ``plug-in'' procedure that involves calculating a functional $\theta \left( \hat{F} \right)$ from an estimate of the c.d.f. $F$. Resampling becomes invaluable when, as is often the case, $\theta \left( \hat{F} \right)$ cannot be calculated explicitly. We discuss some situations where working with the sample quantile function, $\hat{Q}$, rather than $\hat{F}$, can lead to explicit (exact) solutions to $\theta \left( \hat{F} \right)$.},
-  publisher = {Institute of Mathematical Statistics},
-  keywords = {censored data, confidence band, L-estimator, Monte Carlo, order statistics},
-}
-
-@Article{Holmes-2003a,
-  author = {Susan Holmes},
-  date = {2003-05},
-  journaltitle = {Statistical Science},
-  title = {Bootstrapping phylogenetic trees: Theory and methods},
-  doi = {10.1214/ss/1063994979},
-  number = {2},
-  volume = {18},
-  abstract = {This is a survey of the use of the bootstrap in the area of systematic and evolutionary biology. I present the current usage by biologists of the bootstrap as a tool both for making inferences and for evaluating robustness, and propose a framework for thinking about these problems in terms of mathematical statistics.},
-  publisher = {Institute of Mathematical Statistics},
-  keywords = {bootstrap, confidence regions, nonpositive curvature, phylogenetic trees},
-}
-
-@Article{Soltis-Soltis-2003,
-  author = {Pamela S. Soltis and Douglas E. Soltis},
-  date = {2003-05},
-  journaltitle = {Statistical Science},
-  title = {Applying the Bootstrap in Phylogeny Reconstruction},
-  doi = {10.1214/ss/1063994980},
-  number = {2},
-  volume = {18},
-  abstract = {With the increasing emphasis in biology on reconstruction of phylogenetic trees, questions have arisen as to how confident one should be in a given phylogenetic tree and how support for phylogenetic trees should be measured. Felsenstein suggested that bootstrapping be applied across characters of a taxon-by-character data matrix to produce replicate ``bootstrap data sets,'' each of which is then analyzed phylogenetically, with a consensus tree constructed to summarize the results of all replicates. The proportion of trees/replicates in which a grouping is recovered is presented as a measure of support for that group. Bootstrapping has become a common feature of phylogenetic analysis. However, the interpretation of bootstrap values remains open to discussion, and phylogeneticists have used these values in multiple ways. The usefulness of phylogenetic bootstrapping is potentially limited by a number of features, such as the size of the data matrix and the underlying assumptions of the phylogeny reconstruction program. Recent studies have explored the application of bootstrapping to large data sets and the relative performance of bootstrapping and jackknifing.},
-  publisher = {Institute of Mathematical Statistics},
-  keywords = {bootstrap, jackknife, phylogeny, support},
-}
-
-@Article{Holmes-2003b,
-  author = {Susan Holmes},
-  date = {2003-05},
-  journaltitle = {Statistical Science},
-  title = {{Bradley Efron}: A conversation with good friends},
-  doi = {10.1214/ss/1063994981},
-  number = {2},
-  volume = {18},
-  abstract = {Bradley Efron is Professor of Statistics and Biostatistics at Stanford University. He works on a combination of theoretical and applied topics, including empirical Bayes, survival analysis, exponential families, bootstrap and jackknife methods and confidence intervals. Most of his applied work has originated in biomedical consulting projects at the Stanford Medical School, mixed in with a few papers concerning astronomy and physics. Even his theoretical papers usually begin with specific applied problems. All three of the interviewers here have been close scientific collaborators.
-  Brad was born in St. Paul, Minnestora, May 1938, to Esther and Miles Efron, Jewish-Russian immigrants. A Merit Scholarship, in the program's inaugural year, brought him to Caltech, graduating in Mathematics in 1960. He arrived at Stanford that Fall, eventually gaining his Ph.D., under the direction of Rupert Miller and Herb Solomon, in the Statistics Department, whose faculty also included Charles Stein, Herman Chernoff, Manny Parzen, Lincoln Moses and Ingram Olkin. Brad has lived at Stanford since 1960, with sabbaticals at Harvard, Imperial College and Berkeley. He has held several administrative positions in the university:	Chair of Statistics, Associate Dean of Science, Chairman of the University Advisory Board and Chair of the Faculty Senate. He is currently Chair of the Undergraduate Program in Applied Mathematics.
-  Honors include doctorates from Chicago, Madrid and Oslo, a MacArthur Prize Fellowship, membership in the National Academy of Sciences and the American Academy of Arts and Sciences, fellowship in the IMS and ASA, the Wilks Medal, Parzen Prize, the newly inaugurated Rao Prize and the outstanding statistician award from the Chicago ASA chapter. He has been the Rietz, Wald, and Fisher lecturers and holds the Max H. Stein endowed chair as Professor of Humanities and Sciences at Stanford. Professional service includes Theory and Methods Editor of JASA and President of the IMS. Currently he is President-Elect of the American Statistical Association, becoming President in 2004.},
-  publisher = {Institute of Mathematical Statistics},
-}
-
-@Article{Cheong-MacKinnon-Khoo-2003,
-  author = {JeeWon Cheong and David P. MacKinnon and Siek Toon Khoo},
-  date = {2003-04},
-  journaltitle = {Structural Equation Modeling: A Multidisciplinary Journal},
-  title = {Investigation of mediational processes using parallel process latent growth curve modeling},
-  doi = {10.1207/s15328007sem1002_5},
-  number = {2},
-  pages = {238--262},
-  volume = {10},
-  abstract = {This study investigated a method to evaluate mediational processes using latent growth curve modeling. The mediator and the outcome measured across multiple time points were viewed as 2 separate parallel processes. The mediational process was defined as the independent variable influencing the growth of the mediator, which, in turn, affected the growth of the outcome. To illustrate modeling procedures, empirical data from a longitudinal drug prevention program, Adolescents Training and Learning to Avoid Steroids, were used. The program effects on the growth of the mediator and the growth of the outcome were examined first in a 2-group structural equation model. The mediational process was then modeled and tested in a parallel process latent growth curve model by relating the prevention program condition, the growth rate factor of the mediator, and the growth rate factor of the outcome.},
-  publisher = {Informa {UK} Limited},
-}
-
-@Article{Cheung-2007,
-  author = {Mike W.-L. Cheung},
-  date = {2007-05},
-  journaltitle = {Structural Equation Modeling: A Multidisciplinary Journal},
-  title = {Comparison of approaches to constructing confidence intervals for mediating effects using structural equation models},
-  doi = {10.1080/10705510709336745},
-  number = {2},
-  pages = {227--246},
-  volume = {14},
-  abstract = {Mediators are variables that explain the association between an independent variable and a dependent variable. Structural equation modeling (SEM) is widely used to test models with mediating effects. This article illustrates how to construct confidence intervals (CIs) of the mediating effects for a variety of models in SEM. Specifically, mediating models with 1 mediator, 2 intermediate mediators, 2 specific mediators, and 1 mediator in 2 independent groups are illustrated. By using phantom variables (Rindskopf, 1984), a Wald CI, percentile bootstrap CI, bias-corrected bootstrap CI, and a likelihood-based CI on the mediating effect are easily constructed with some existing SEM packages, such as LISREL, Mplus, and Mx. Monte Carlo simulation studies are used to compare the coverage probabilities of these CIs. The results show that the coverage probabilities of these CIs are comparable when the mediating effect is large or when the sample size is large. However, when the mediating effect and the sample size are both small, the bootstrap CI and likelihood-based CI are preferred over the Wald CI. Extensions of this SEM approach for future research are discussed.},
-  publisher = {Informa {UK} Limited},
-  keywords = {mediation, bootstrapping},
-  annotation = {mediation, mediation-delta, mediation-likelihood, mediation-bootstrap},
-}
-
-@Article{Cheung-2009a,
-  author = {Mike W.-L. Cheung},
-  date = {2009-05},
-  journaltitle = {Behavior Research Methods},
-  title = {Comparison of methods for constructing confidence intervals of standardized indirect effects},
-  doi = {10.3758/brm.41.2.425},
-  number = {2},
-  pages = {425--438},
-  volume = {41},
-  abstract = {Mediation models are often used as a means to explain the psychological mechanisms between an independent and a dependent variable in the behavioral and social sciences. A major limitation of the unstandardized indirect effect calculated from raw scores is that it cannot be interpreted as an effect-size measure. In contrast, the standardized indirect effect calculated from standardized scores can be a good candidate as a measure of effect size because it is scale invariant. In the present article, 11 methods for constructing the confidence intervals (CIs) of the standardized indirect effects were evaluated via a computer simulation. These included six Wald CIs, three bootstrap CIs, one likelihood-based CI, and the PRODCLIN CI. The results consistently showed that the percentile bootstrap, the bias-corrected bootstrap, and the likelihood-based approaches had the best coverage probability. Mplus, LISREL, and Mx syntax were included to facilitate the use of these preferred methods in applied settings. Future issues on the use of the standardized indirect effects are discussed.},
-  publisher = {Springer Science and Business Media {LLC}},
-  keywords = {mediation analysis, coverage probability, structural equation modeling approach},
-  annotation = {mediation, mediation-bootstrap, mediation-likelihood, mediation-delta, mediation-prodclin},
-}
-
-@Article{Cheung-2009b,
-  author = {Mike W.-L. Cheung},
-  date = {2009-04},
-  journaltitle = {Structural Equation Modeling: A Multidisciplinary Journal},
-  title = {Constructing approximate confidence intervals for parameters with structural equation models},
-  doi = {10.1080/10705510902751291},
-  number = {2},
-  pages = {267--294},
-  volume = {16},
-  abstract = {Confidence intervals (CIs) for parameters are usually constructed based on the estimated standard errors. These are known as Wald CIs. This article argues that likelihood-based CIs (CIs based on likelihood ratio statistics) are often preferred to Wald CIs. It shows how the likelihood-based CIs and the Wald CIs for many statistics and psychometric indexes can be constructed with the use of phantom variables (Rindskopf, 1984) in some of the current structural equation modeling (SEM) packages. The procedures to form CIs for the differences in correlation coefficients, squared multiple correlations, indirect effects, coefficient alphas, and reliability estimates are illustrated. A simulation study on the Pearson correlation is used to demonstrate the advantages of the likelihood-based CI over the Wald CI. Issues arising from this SEM approach and extensions of this approach are discussed.},
-  publisher = {Informa {UK} Limited},
-  annotation = {mediation, mediation-likelihood},
-}
-
-@Article{Cheung-Lau-2007,
-  author = {Gordon W. Cheung and Rebecca S. Lau},
-  date = {2007-07},
-  journaltitle = {Organizational Research Methods},
-  title = {Testing mediation and suppression effects of latent variables},
-  doi = {10.1177/1094428107300343},
-  number = {2},
-  pages = {296--325},
-  volume = {11},
-  abstract = {Because of the importance of mediation studies, researchers have been continuously searching for the best statistical test for mediation effect. The approaches that have been most commonly employed include those that use zero-order and partial correlation, hierarchical regression models, and structural equation modeling (SEM). This study extends MacKinnon and colleagues (MacKinnon, Lockwood, Hoffmann, West, \& Sheets, 2002; MacKinnon, Lockwood, \& Williams, 2004, MacKinnon, Warsi, \& Dwyer, 1995) works by conducting a simulation that examines the distribution of mediation and suppression effects of latent variables with SEM, and the properties of confidence intervals developed from eight different methods. Results show that SEM provides unbiased estimates of mediation and suppression effects, and that the bias-corrected bootstrap confidence intervals perform best in testing for mediation and suppression effects. Steps to implement the recommended procedures with Amos are presented.},
-  publisher = {{SAGE} Publications},
-  keywords = {mediating effects, suppression effects, structural equation modeling},
-  annotation = {mediation, mediation-bootstrap},
-}
-
-@Article{Chow-Hamagani-Nesselroade-2007,
-  author = {Sy-Miin Chow and Fumiaki Hamagani and John R. Nesselroade},
-  date = {2007-12},
-  journaltitle = {Psychology and Aging},
-  title = {Age differences in dynamical emotion-cognition linkages},
-  doi = {10.1037/0882-7974.22.4.765},
-  issn = {0882-7974},
-  number = {4},
-  pages = {765--780},
-  volume = {22},
-  abstract = {The ability to maintain the separation between positive emotion and negative emotion in times of stress has been construed as a resilience mechanism. Emotional resiliency is particularly relevant in old age given concomitant declines in cognitive performance. In the present study, the authors examined the dynamical linkages among positive emotion, negative emotion, and cognition as individuals performed a complex cognitive task. Comparisons were made between younger (n = 63) and older (n = 52) age groups. Older adults manifested significant unidirectional coupling from negative emotion to cognitive performance; younger adults manifested significant unidirectional coupling from negative emotion to positive emotion and from cognitive performance to both positive and negative emotions. Implications for age differences in emotion regulatory strategies are discussed.},
-  publisher = {American Psychological Association (APA)},
-}
-
-@Article{Cole-Maxwell-2003,
-  author = {David A. Cole and Scott E. Maxwell},
-  date = {2003-11},
-  journaltitle = {Journal of Abnormal Psychology},
-  title = {Testing mediational models with longitudinal data: Questions and tips in the use of structural equation modeling.},
-  doi = {10.1037/0021-843x.112.4.558},
-  number = {4},
-  pages = {558--577},
-  volume = {112},
-  abstract = {R. M. Baron and D. A. Kenny (1986; see record 1987-13085-001) provided clarion conceptual and methodological guidelines for testing mediational models with cross-sectional data. Graduating from cross-sectional to longitudinal designs enables researchers to make more rigorous inferences about the causal relations implied by such models. In this transition, misconceptions and erroneous assumptions are the norm. First, we describe some of the questions that arise (and misconceptions that sometimes emerge) in longitudinal tests of mediational models. We also provide a collection of tips for structural equation modeling (SEM) of mediational processes. Finally, we suggest a series of 5 steps when using SEM to test mediational processes in longitudinal designs: testing the measurement model, testing for added components, testing for omitted paths, testing the stationarity assumption, and estimating the mediational effects.},
-  publisher = {American Psychological Association ({APA})},
-}
-
-@Article{CribariNeto-2004,
-  author = {Francisco Cribari-Neto},
-  date = {2004-03},
-  journaltitle = {Computational Statistics {\&} Data Analysis},
-  title = {Asymptotic inference under heteroskedasticity of unknown form},
-  doi = {10.1016/s0167-9473(02)00366-3},
-  number = {2},
-  pages = {215--233},
-  volume = {45},
-  abstract = {We focus on the finite-sample behavior of heteroskedasticity-consistent covariance matrix estimators and associated quasi-$t$ tests. The estimator most commonly used is that proposed by Halbert White. Its finite-sample behavior under both homoskedasticity and heteroskedasticity is analyzed using Monte Carlo methods. We also consider two other consistent estimators, namely: the HC3 estimator, which is an approximation to the jackknife estimator, and the weighted bootstrap estimator. Additionally, we evaluate the finite-sample behavior of two bootstrap quasi-$t$ tests: the test based on a single bootstrapping scheme and the test based on a double, nested bootstrapping scheme. The latter is very computer-intensive, but proves to work well in small samples. Finally, we propose a new estimator, which we call HC4; it is tailored to take into account the effect of leverage points in the design matrix on associated quasi-$t$ tests.},
-  publisher = {Elsevier {BV}},
-  annotation = {regression, regression-hc},
-}
-
-@Article{CribariNeto-daSilva-2010,
-  author = {Francisco Cribari-Neto and Wilton Bernardino {da Silva}},
-  date = {2010-11},
-  journaltitle = {{AStA} Advances in Statistical Analysis},
-  title = {A new heteroskedasticity-consistent covariance matrix estimator for the linear regression model},
-  doi = {10.1007/s10182-010-0141-2},
-  number = {2},
-  pages = {129--146},
-  volume = {95},
-  abstract = {The assumption that all random errors in the linear regression model share the same variance (homoskedasticity) is often violated in practice. The ordinary least squares estimator of the vector of regression parameters remains unbiased, consistent and asymptotically normal under unequal error variances. Many practitioners then choose to base their inferences on such an estimator. The usual practice is to couple it with an asymptotically valid estimation of its covariance matrix, and then carry out hypothesis tests that are valid under heteroskedasticity of unknown form. We use numerical integration methods to compute the exact null distributions of some quasi-t test statistics, and propose a new covariance matrix estimator. The numerical results favor testing inference based on the estimator we propose.},
-  publisher = {Springer Science and Business Media {LLC}},
-  annotation = {regression, regression-hc},
-}
-
-@Article{CribariNeto-Souza-Vasconcellos-2007,
-  author = {Francisco Cribari-Neto and Tatiene C. Souza and Klaus L. P. Vasconcellos},
-  date = {2007-08},
-  journaltitle = {Communications in Statistics - Theory and Methods},
-  title = {Inference under heteroskedasticity and leveraged data},
-  doi = {10.1080/03610920601126589},
-  number = {10},
-  pages = {1877--1888},
-  volume = {36},
-  abstract = {We evaluate the finite-sample behavior of different heteros-ke-das-ticity-consistent covariance matrix estimators, under both constant and unequal error variances. We consider the estimator proposed by Halbert White (HC0), and also its variants known as HC2, HC3, and HC4; the latter was recently proposed by Cribari-Neto (2004). We propose a new covariance matrix estimator: HC5. It is the first consistent estimator to explicitly take into account the effect that the maximal leverage has on the associated inference. Our numerical results show that quasi-$t$ inference based on HC5 is typically more reliable than inference based on other covariance matrix estimators.},
-  publisher = {Informa {UK} Limited},
-  annotation = {regression, regression-hc},
-}
-
-@Article{CribariNeto-Souza-Vasconcellos-2008,
-  author = {Francisco Cribari-Neto and Tatiene C. Souza and Klaus L. P. Vasconcellos},
-  date = {2008-09},
-  journaltitle = {Communications in Statistics - Theory and Methods},
-  title = {Errata: Inference under heteroskedasticity and leveraged data, {Communications in Statistics, Theory and Methods}, 36, 1877--1888, 2007},
-  doi = {10.1080/03610920802109210},
-  number = {20},
-  pages = {3329--3330},
-  volume = {37},
-  publisher = {Informa {UK} Limited},
-  annotation = {regression, regression-hc},
-}
-
-@Article{Ferrer-McArdle-2003,
-  author = {Emilio Ferrer and John McArdle},
-  date = {2003-10},
-  journaltitle = {Structural Equation Modeling: A Multidisciplinary Journal},
-  title = {Alternative structural models for multivariate longitudinal data analysis},
-  doi = {10.1207/s15328007sem1004_1},
-  number = {4},
-  pages = {493--524},
-  volume = {10},
-  abstract = {Structural equation models are presented as alternative models for examining longitudinal data. The models include (a) a cross-lagged regression model, (b) a factor model based on latent growth curves, and (c) a dynamic model based on latent difference scores. The illustrative data are on motivation and perceived competence of students during their first semester in high school. The 3 models yielded different results and such differences were discussed in terms of the conceptualization of change underlying each model. The last model was defended as the most reasonable for these data because it captured the dynamic interrelations between the examined constructs and, at the same time, identified potential growth in the variables.},
-  publisher = {Informa {UK} Limited},
-}
-
-@Article{Fritz-MacKinnon-2007,
-  author = {Matthew S. Fritz and David P. MacKinnon},
-  date = {2007-03},
-  journaltitle = {Psychological Science},
-  title = {Required sample size to detect the mediated effect},
-  doi = {10.1111/j.1467-9280.2007.01882.x},
-  number = {3},
-  pages = {233--239},
-  volume = {18},
-  abstract = {Mediation models are widely used, and there are many tests of the mediated effect. One of the most common questions that researchers have when planning mediation studies is, ``How many subjects do I need to achieve adequate power when testing for mediation?'' This article presents the necessary sample sizes for six of the most common and the most recommended tests of mediation for various combinations of parameters, to provide a guide for researchers when designing studies or applying for grants.},
-  publisher = {{SAGE} Publications},
-  keywords = {bootstrap, collinearity, mediation analysis, power, tolerance},
-  annotation = {mediation, mediation-power, mediation-causalsteps, mediation-joint, mediation-delta, mediation-prodclin, mediation-bootstrap},
-}
-
-@Article{Gatchel-Peng-Peters-etal-2007,
-  author = {Robert J. Gatchel and Yuan Bo Peng and Madelon L. Peters and Perry N. Fuchs and Dennis C. Turk},
-  date = {2007},
-  journaltitle = {Psychological Bulletin},
-  title = {The biopsychosocial approach to chronic pain: Scientific advances and future directions.},
-  doi = {10.1037/0033-2909.133.4.581},
-  issn = {0033-2909},
-  number = {4},
-  pages = {581--624},
-  volume = {133},
-  abstract = {The prevalence and cost of chronic pain is a major physical and mental health care problem in the United States today. As a result, there has been a recent explosion of research on chronic pain, with significant advances in better understanding its etiology, assessment, and treatment. The purpose of the present article is to provide a review of the most noteworthy developments in the field. The biopsychosocial model is now widely accepted as the most heuristic approach to chronic pain. With this model in mind, a review of the basic neuroscience processes of pain (the bio part of biopsychosocial), as well as the psychosocial factors, is presented. This spans research on how psychological and social factors can interact with brain processes to influence health and illness as well as on the development of new technologies, such as brain imaging, that provide new insights into brain-pain mechanisms.},
-  publisher = {American Psychological Association (APA)},
-}
-
-@Article{Graham-Olchowski-Gilreath-2007,
-  author = {John W. Graham and Allison E. Olchowski and Tamika D. Gilreath},
-  date = {2007-06},
-  journaltitle = {Prevention Science},
-  title = {How many imputations are really needed? Some practical clarifications of multiple imputation theory},
-  doi = {10.1007/s11121-007-0070-9},
-  number = {3},
-  pages = {206--213},
-  volume = {8},
-  abstract = {Multiple imputation (MI) and full information maximum likelihood (FIML) are the two most common approaches to missing data analysis. In theory, MI and FIML are equivalent when identical models are tested using the same variables, and when m, the number of imputations performed with MI, approaches infinity. However, it is important to know how many imputations are necessary before MI and FIML are sufficiently equivalent in ways that are important to prevention scientists. MI theory suggests that small values of m, even on the order of three to five imputations, yield excellent results. Previous guidelines for sufficient m are based on relative efficiency, which involves the fraction of missing information ($\gamma$) for the parameter being estimated, and m. In the present study, we used a Monte Carlo simulation to test MI models across several scenarios in which $\gamma$ and m were varied. Standard errors and p-values for the regression coefficient of interest varied as a function of m, but not at the same rate as relative efficiency. Most importantly, statistical power for small effect sizes diminished as m became smaller, and the rate of this power falloff was much greater than predicted by changes in relative efficiency. Based our findings, we recommend that researchers using MI should perform many more imputations than previously considered sufficient. These recommendations are based on $\gamma$, and take into consideration one's tolerance for a preventable power falloff (compared to FIML) due to using too few imputations.},
-  publisher = {Springer Science and Business Media {LLC}},
-  keywords = {multiple imputation, number of imputations, full information maximum likelihood, missing data, statistical power},
-}
-
-@Article{Grundy-Gondoli-BlodgettSalafia-2007,
-  author = {Amber M. Grundy and Dawn M. Gondoli and Elizabeth H. {Blodgett Salafia}},
-  date = {2007},
-  journaltitle = {Journal of Family Psychology},
-  title = {Marital conflict and preadolescent behavioral competence: Maternal knowledge as a longitudinal mediator},
-  doi = {10.1037/0893-3200.21.4.675},
-  issn = {0893-3200},
-  number = {4},
-  pages = {675--682},
-  volume = {21},
-  abstract = {The present study considered whether maternal knowledge mediated the relation between overt marital conflict and preadolescent behavioral competence. Four years of self-report data were collected from 133 mothers and their preadolescents, beginning when the preadolescents were in 4th grade. Marital conflict, maternal knowledge, and preadolescent behavioral competence were assessed at all 4 time points in order to apply a stringent methodology for assessing longitudinal mediating patterns. The results indicated that maternal knowledge mediated the relation between marital conflict and preadolescent behavioral competence. Thus, the present study identified one possible process through which marital conflict may affect preadolescent behavior. },
-  publisher = {American Psychological Association (APA)},
-}
-
-@Article{HatemiJ-2003,
-  author = {Abdulnasser Hatemi-J},
-  date = {2003-02},
-  journaltitle = {Applied Economics Letters},
-  title = {A new method to choose optimal lag order in stable and unstable {VAR} models},
-  doi = {10.1080/1350485022000041050},
-  number = {3},
-  pages = {135--137},
-  volume = {10},
-  abstract = {A crucial aspect of empirical research based on the vector autoregressive (VAR) model is the choice of the lag order, since all inference in the VAR model is based on the chosen lag order. Here, a new information criterion is introduced for this purpose. The conducted Monte Carlo simulation experiments show that this new information criterion performs well in picking the true lag order in stable as well as unstable VAR models.},
-  publisher = {Informa {UK} Limited},
-}
-
-@Article{HatemiJ-2004,
-  author = {Abdulnasser Hatemi-J},
-  date = {2004-07},
-  journaltitle = {Economic Modelling},
-  title = {Multivariate tests for autocorrelation in the stable and unstable {VAR} models},
-  doi = {10.1016/j.econmod.2003.09.005},
-  number = {4},
-  pages = {661--683},
-  volume = {21},
-  abstract = {This study investigates the size and power properties of three multivariate tests for autocorrelation, namely portmanteau test, Lagrange multiplier (LM) test and Rao F-test, in the stable and unstable vector autoregressive (VAR) models, with and without autoregressive conditional heteroscedasticity (ARCH) using Monte Carlo experiments. Many combinations of parameters are used in the simulations to cover a wide range of situations in order to make the results more representative. The results of conducted simulations show that all three tests perform relatively well in stable VAR models without ARCH. In unstable VAR models the portmanteau test exhibits serious size distortions. LM and Rao tests perform well in unstable VAR models without ARCH. These results are true, irrespective of sample size or order of autocorrelation. Another clear result that the simulations show is that none of the tests have the correct size when ARCH is present irrespective of VAR models being stable or unstable and regardless of the sample size or order of autocorrelation. The portmanteau test appears to have slightly better power properties than the LM test in almost all scenarios.},
-  publisher = {Elsevier {BV}},
-}
-
-@Article{Hayes-2009,
-  author = {Andrew F. Hayes},
-  date = {2009-12},
-  journaltitle = {Communication Monographs},
-  title = {Beyond {Baron} and {Kenny}: Statistical mediation analysis in the new millennium},
-  doi = {10.1080/03637750903310360},
-  number = {4},
-  pages = {408--420},
-  volume = {76},
-  abstract = {Understanding communication processes is the goal of most communication researchers. Rarely are we satisfied merely ascertaining whether messages have an effect on some outcome of focus in a specific context. Instead, we seek to understand how such effects come to be. What kinds of causal sequences does exposure to a message initiate? What are the causal pathways through which a message exerts its effect? And what role does communication play in the transmission of the effects of other variables over time and space? Numerous communication models attempt to describe the mechanism through which messages or other communication-related variables transmit their effects or intervene between two other variables in a causal model. The communication literature is replete with tests of such models.
-  Over the years, methods used to test such process models have grown in sophistication. An example includes the rise of structural equation modeling (SEM), which allows investigators to examine how well a process model that links some focal variable X to some outcome Y through one or more intervening pathways fits the observed data. Yet frequently, the analytical choices communication researchers make when testing intervening variables models are out of step with advances made in the statistical methods literature. My goal here is to update the field on some of these new advances. While at it, I challenge some conventional wisdom and nudge the field toward a more modern way of thinking about the analysis of intervening variable effects.},
-  publisher = {Informa {UK} Limited},
-  annotation = {mediation, mediation-bootstrap},
-}
-
-@Article{Hayes-Cai-2007,
-  author = {Andrew F. Hayes and Li Cai},
-  date = {2007-11},
-  journaltitle = {Behavior Research Methods},
-  title = {Using heteroskedasticity-consistent standard error estimators in {OLS} regression: An introduction and software implementation},
-  doi = {10.3758/bf03192961},
-  number = {4},
-  pages = {709--722},
-  volume = {39},
-  publisher = {Springer Science and Business Media {LLC}},
-  annotation = {regression, regression-hc},
-}
-
-@Article{Kauermann-Carroll-2001,
-  author = {G{\"o}ran Kauermann and Raymond J. Carroll},
-  date = {2001-12},
-  journaltitle = {Journal of the American Statistical Association},
-  title = {A note on the efficiency of sandwich covariance matrix estimation},
-  doi = {10.1198/016214501753382309},
-  number = {456},
-  pages = {1387--1396},
-  volume = {96},
-  abstract = {The sandwich estimator, also known as robust covariance matrix estimator, heteroscedasticity-consistent covariance matrix estimate, or empirical covariance matrix estimator, has achieved increasing use in the econometric literature as well as with the growing popularity of generalized estimating equations. Its virtue is that it provides consistent estimates of the covariance matrix for parameter estimates even when the fitted parametric model fails to hold or is not even specified. Surprisingly though, there has been little discussion of properties of the sandwich method other than consistency. We investigate the sandwich estimator in quasi-likelihood models asymptotically, and in the linear case analytically. We show that under certain circumstances when the quasi-likelihood model is correct, the sandwich estimate is often far more variable than the usual parametric variance estimate. The increased variance is a fixed feature of the method and the price that one pays to obtain consistency even when the parametric model fails or when there is heteroscedasticity. We show that the additional variability directly affects the coverage probability of confidence intervals constructed from sandwich variance estimates. In fact, the use of sandwich variance estimates combined with $t$-distribution quantiles gives confidence intervals with coverage probability falling below the nominal value. We propose an adjustment to compensate for this fact.},
-  publisher = {Informa {UK} Limited},
-  annotation = {regression, regression-hc},
-}
-
-@Article{Kenny-Korchmaros-Bolger-2003,
-  author = {David A. Kenny and Josephine D. Korchmaros and Niall Bolger},
-  date = {2003},
-  journaltitle = {Psychological Methods},
-  title = {Lower level mediation in multilevel models},
-  doi = {10.1037/1082-989x.8.2.115},
-  issn = {1082-989X},
-  number = {2},
-  pages = {115--128},
-  volume = {8},
-  abstract = {Multilevel models are increasingly used to estimate models for hierarchical and repeated measures data. The authors discuss a model in which there is mediation at the lower level and the mediational links vary randomly across upper level units. One repeated measures example is a case in which a person's daily stressors affect his or her coping efforts, which affect his or her mood, and both links vary randomly across persons. Where there is mediation at the lower level and the mediational links vary randomly across upper level units, the formulas for the indirect effect and its standard error must be modified to include the covariance between the random effects. Because no standard method can estimate such a model, the authors developed an ad hoc method that is illustrated with real and simulated data. Limitations of this method and characteristics of an ideal method are discussed. },
-  publisher = {American Psychological Association (APA)},
-}
-
-@Article{Koob-LeMoal-2008,
-  author = {George F. Koob and Michel {Le Moal}},
-  date = {2008-01},
-  journaltitle = {Annual Review of Psychology},
-  title = {Addiction and the brain antireward system},
-  doi = {10.1146/annurev.psych.59.103006.093548},
-  issn = {1545-2085},
-  number = {1},
-  pages = {29--53},
-  volume = {59},
-  abstract = {A neurobiological model of the brain emotional systems has been proposed to explain the persistent changes in motivation that are associated with vulnerability to relapse in addiction, and this model may generalize to other psychopathology associated with dysregulated motivational systems. In this framework, addiction is conceptualized as a cycle of decreased function of brain reward systems and recruitment of antireward systems that progressively worsen, resulting in the compulsive use of drugs. Counteradaptive processes, such as opponent process, that are part of the normal homeostatic limitation of reward function fail to return within the normal homeostatic range and are hypothesized to repeatedly drive the allostatic state. Excessive drug taking thus results in not only the short-term amelioration of the reward deficit but also suppression of the antireward system. However, in the long term, there is worsening of the underlying neurochemical dysregulations that ultimately form an allostatic state (decreased dopamine and opioid peptide function, increased corticotropin-releasing factor activity). This allostatic state is hypothesized to be reflected in a chronic deviation of reward set point that is fueled not only by dysregulation of reward circuits per se but also by recruitment of brain and hormonal stress responses. Vulnerability to addiction may involve genetic comorbidity and developmental factors at the molecular, cellular, or neurocircuitry levels that sensitize the brain antireward systems.},
-  publisher = {Annual Reviews},
-}
-
-@Article{Krull-MacKinnon-2001,
-  author = {Jennifer L. Krull and David P. MacKinnon},
-  date = {2001-04},
-  journaltitle = {Multivariate Behavioral Research},
-  title = {Multilevel modeling of individual and group level mediated effects},
-  doi = {10.1207/s15327906mbr3602_06},
-  issn = {1532-7906},
-  number = {2},
-  pages = {249--277},
-  volume = {36},
-  abstract = {This article combines procedures for single-level mediational analysis with multilevel modeling techniques in order to appropriately test mediational effects in clustered data. A simulation study compared the performance of these multilevel mediational models with that of single-level mediational models in clustered data with individual- or group-level initial independent variables, individual- or group-level mediators, and individual level outcomes. The standard errors of mediated effects from the multilevel solution were generally accurate, while those from the single-level procedure were downwardly biased, often by 20\% or more. The multilevel advantage was greatest in those situations involving group-level variables, larger group sizes, and higher intraclass correlations in mediator and outcome variables. Multilevel mediational modeling methods were also applied to data from a preventive intervention designed to reduce intentions to use steroids among players on high school football teams. This example illustrates differences between single-level and multilevel mediational modeling in real-world clustered data and shows how the multilevel technique may lead to more accurate results.},
-  publisher = {Informa UK Limited},
-}
-
-@Article{Long-Ervin-2000,
-  author = {J. Scott Long and Laurie H. Ervin},
-  date = {2000-08},
-  journaltitle = {The American Statistician},
-  title = {Using heteroscedasticity consistent standard errors in the linear regression model},
-  doi = {10.1080/00031305.2000.10474549},
-  number = {3},
-  pages = {217--224},
-  volume = {54},
-  publisher = {Informa {UK} Limited},
-  annotation = {regression, regression-hc},
-}
-
-@Article{MacKinnon-Fritz-Williams-etal-2007,
-  author = {David P. MacKinnon and Matthew S. Fritz and Jason Williams and Chondra M. Lockwood},
-  date = {2007-08},
-  journaltitle = {Behavior Research Methods},
-  title = {Distribution of the product confidence limits for the indirect effect: Program {PRODCLIN}},
-  doi = {10.3758/bf03193007},
-  number = {3},
-  pages = {384--389},
-  volume = {39},
-  abstract = {This article describes a program, PRODCLIN (distribution of the PRODuct Confidence Limits for INdirect effects), written for SAS, SPSS, and R, that computes confidence limits for the product of two normal random variables. The program is important because it can be used to obtain more accurate confidence limits for the indirect effect, as demonstrated in several recent articles (MacKinnon, Lockwood, \& Williams, 2004; Pituch, Whittaker, \& Stapleton, 2005). Tests of the significance of and confidence limits for indirect effects based on the distribution of the product method have more accurate Type I error rates and more power than other, more commonly used tests. Values for the two paths involved in the indirect effect and their standard errors are entered in the PRODCLIN program, and distribution of the product confidence limits are computed. Several examples are used to illustrate the PRODCLIN program. The PRODCLIN programs in rich text format may be downloaded from www.psychonomic.org/archive.},
-  publisher = {Springer Science and Business Media {LLC}},
-  annotation = {mediation, mediation-prodclin},
-}
-
-@Article{MacKinnon-Krull-Lockwood-2000,
-  author = {David P. MacKinnon and Jennifer L. Krull and Chondra M. Lockwood},
-  date = {2000},
-  journaltitle = {Prevention Science},
-  title = {Equivalence of the mediation, confounding and suppression effect},
-  doi = {10.1023/a:1026595011371},
-  issn = {1389-4986},
-  number = {4},
-  pages = {173--181},
-  volume = {1},
-  abstract = {This paper describes the statistical similarities among mediation, confounding, and suppression. Each is quantified by measuring the change in the relationship between an independent and a dependent variable after adding a third variable to the analysis. Mediation and confounding are identical statistically and can be distinguished only on conceptual grounds. Methods to determine the confidence intervals for confounding and suppression effects are proposed based on methods developed for mediated effects. Although the statistical estimation of effects and standard errors is the same, there are important conceptual differences among the three types of effects.},
-  publisher = {Springer Science and Business Media LLC},
-}
-
-@Article{MacKinnon-Lockwood-Hoffman-etal-2002,
-  author = {David P. MacKinnon and Chondra M. Lockwood and Jeanne M. Hoffman and Stephen G. West and Virgil Sheets},
-  date = {2002},
-  journaltitle = {Psychological Methods},
-  title = {A comparison of methods to test mediation and other intervening variable effects},
-  doi = {10.1037/1082-989x.7.1.83},
-  number = {1},
-  pages = {83--104},
-  volume = {7},
-  abstract = {A Monte Carlo study compared 14 methods to test the statistical significance of the intervening variable effect. An intervening variable (mediator) transmits the effect of an independent variable to a dependent variable. The commonly used R. M. Baron and D. A. Kenny (1986) approach has low statistical power. Two methods based on the distribution of the product and 2 difference-in-coefficients methods have the most accurate Type I error rates and greatest statistical power except in 1 important case in which Type I error rates are too high. The best balance of Type I error and statistical power across all cases is the test of the joint significance of the two effects comprising the intervening variable effect.},
-  publisher = {American Psychological Association ({APA})},
-  annotation = {mediation, mediation-causalsteps, mediation-jointtest, mediation-prodclin},
-}
-
-@Article{MacKinnon-Lockwood-Williams-2004,
-  author = {David P. MacKinnon and Chondra M. Lockwood and Jason Williams},
-  date = {2004-01},
-  journaltitle = {Multivariate Behavioral Research},
-  title = {Confidence limits for the indirect effect: Distribution of the product and resampling methods},
-  doi = {10.1207/s15327906mbr3901_4},
-  number = {1},
-  pages = {99--128},
-  volume = {39},
-  abstract = {The most commonly used method to test an indirect effect is to divide the estimate of the indirect effect by its standard error and compare the resulting z statistic with a critical value from the standard normal distribution. Confidence limits for the indirect effect are also typically based on critical values from the standard normal distribution. This article uses a simulation study to demonstrate that confidence limits are imbalanced because the distribution of the indirect effect is normal only in special cases. Two alternatives for improving the performance of confidence limits for the indirect effect are evaluated: (a) a method based on the distribution of the product of two normal random variables, and (b) resampling methods. In Study 1, confidence limits based on the distribution of the product are more accurate than methods based on an assumed normal distribution but confidence limits are still imbalanced. Study 2 demonstrates that more accurate confidence limits are obtained using resampling methods, with the bias-corrected bootstrap the best method overall.},
-  publisher = {Informa {UK} Limited},
-  annotation = {mediation, mediation-bootstrap, mediation-montecarlo, mediation-prodclin},
-}
-
-@Article{Maxwell-Cole-2007,
-  author = {Scott E. Maxwell and David A. Cole},
-  date = {2007},
-  journaltitle = {Psychological Methods},
-  title = {Bias in cross-sectional analyses of longitudinal mediation},
-  doi = {10.1037/1082-989x.12.1.23},
-  number = {1},
-  pages = {23--44},
-  volume = {12},
-  abstract = {Most empirical tests of mediation utilize cross-sectional data despite the fact that mediation consists of causal processes that unfold over time. The authors considered the possibility that longitudinal mediation might occur under either of two different models of change: (a) an autoregressive model or (b) a random effects model. For both models, the authors demonstrated that cross-sectional approaches to mediation typically generate substantially biased estimates of longitudinal parameters even under the ideal conditions when mediation is complete. In longitudinal models where variable M completely mediates the effect of X on Y, cross-sectional estimates of the direct effect of X on Y, the indirect effect of X on Y through M, and the proportion of the total effect mediated by M are often highly misleading.},
-  publisher = {American Psychological Association ({APA})},
-  keywords = {mediation, direct effect, indirect effect, cross-sectional designs, longitudinal designs},
-}
-
-@Article{McArdle-2009,
-  author = {John J. McArdle},
-  date = {2009-01},
-  journaltitle = {Annual Review of Psychology},
-  title = {Latent variable modeling of differences and changes with longitudinal data},
-  doi = {10.1146/annurev.psych.60.110707.163612},
-  number = {1},
-  pages = {577--605},
-  volume = {60},
-  abstract = {This review considers a common question in data analysis: What is the most useful way to analyze longitudinal repeated measures data? We discuss some contemporary forms of structural equation models (SEMs) based on the inclusion of latent variables. The specific goals of this review are to clarify basic SEM definitions, consider relations to classical models, focus on testable features of the new models, and provide recent references to more complete presentations. A broader goal is to illustrate why so many researchers are enthusiastic about the SEM approach to data analysis. We first outline some classic problems in longitudinal data analysis, consider definitions of differences and changes, and raise issues about measurement errors. We then present several classic SEMs based on the inclusion of invariant common factors and explain why these are so important. This leads to newer SEMs based on latent change scores, and we explain why these are useful.},
-  publisher = {Annual Reviews},
-  keywords = {linear structural equations, repeated measures},
-}
-
-@Article{Molenaar-Campbell-2009,
-  author = {Peter C.M. Molenaar and Cynthia G. Campbell},
-  date = {2009-04},
-  journaltitle = {Current Directions in Psychological Science},
-  title = {The new person-specific paradigm in psychology},
-  doi = {10.1111/j.1467-8721.2009.01619.x},
-  issn = {1467-8721},
-  number = {2},
-  pages = {112--117},
-  volume = {18},
-  abstract = {Most research methodology in the behavioral sciences employs interindividual analyses, which provide information about the state of affairs of the population. However, as shown by classical mathematical-statistical theorems (the ergodic theorems), such analyses do not provide information for, and cannot be applied at, the level of the individual, except on rare occasions when the processes of interest meet certain stringent conditions. When psychological processes violate these conditions, the interindividual analyses that are now standardly applied have to be replaced by analysis of intraindividual variation in order to obtain valid results. Two illustrations involving analysis of intraindividual variation of personality and emotional processes are given.},
-  publisher = {SAGE Publications},
-}
-
-@Article{Oud-Jansen-2000,
-  author = {Johan H. L. Oud and Robert A. R. G. Jansen},
-  date = {2000-06},
-  journaltitle = {Psychometrika},
-  title = {Continuous time state space modeling of panel data by means of {SEM}},
-  doi = {10.1007/bf02294374},
-  number = {2},
-  pages = {199--215},
-  volume = {65},
-  abstract = {Maximum likelihood parameter estimation of the continuous time linear stochastic state space model is considered on the basis of largeN discrete time data using a structural equation modeling (SEM) program. Random subject effects are allowed to be part of the model. The exact discrete model (EDM) is employed which links the discrete time model parameters to the underlying continuous time model parameters by means of nonlinear restrictions. The EDM is generalized to cover not only time-invariant parameters but also the cases of stepwise time-varying (piecewise time-invariant) parameters and parameters varying continuously over time according to a general polynomial scheme. The identification of the continuous time parameters is discussed and an educational example is presented.},
-  publisher = {Springer Science and Business Media {LLC}},
-}
-
-@Article{Peugh-Enders-2004,
-  author = {James L. Peugh and Craig K. Enders},
-  date = {2004-12},
-  journaltitle = {Review of Educational Research},
-  title = {Missing data in educational research: A review of reporting practices and suggestions for improvement},
-  doi = {10.3102/00346543074004525},
-  number = {4},
-  pages = {525--556},
-  volume = {74},
-  publisher = {American Educational Research Association ({AERA})},
-  abstract = {Missing data analyses have received considerable recent attention in the methodological literature, and two ``modern'' methods, multiple imputation and maximum likelihood estimation, are recommended. The goals of this article are to (a) provide an overview of missing-data theory, maximum likelihood estimation, and multiple imputation; (b) conduct a methodological review of missing-data reporting practices in 23 applied research journals; and (c) provide a demonstration of multiple imputation and maximum likelihood estimation using the Longitudinal Study of American Youth data. The results indicated that explicit discussions of missing data increased substantially between 1999 and 2003, but the use of maximum likelihood estimation or multiple imputation was rare; the studies relied almost exclusively on listwise and pairwise deletion.},
-  keywords = {EM algorithm, maximum likelihood estimation, missing data, multiple imputation, NORM},
-}
-
-@Article{Preacher-Curran-Bauer-2006,
-  author = {Kristopher J. Preacher and Patrick J. Curran and Daniel J. Bauer},
-  date = {2006-12},
-  journaltitle = {Journal of Educational and Behavioral Statistics},
-  title = {Computational tools for probing interactions in multiple linear regression, multilevel modeling, and latent curve analysis},
-  doi = {10.3102/10769986031004437},
-  issn = {1935-1054},
-  number = {4},
-  pages = {437--448},
-  volume = {31},
-  abstract = {Simple slopes, regions of significance, and confidence bands are commonly used to evaluate interactions in multiple linear regression (MLR) models, and the use of these techniques has recently been extended to multilevel or hierarchical linear modeling (HLM) and latent curve analysis (LCA). However, conducting these tests and plotting the conditional relations is often a tedious and error-prone task. This article provides an overview of methods used to probe interaction effects and describes a unified collection of freely available online resources that researchers can use to obtain significance tests for simple slopes, compute regions of significance, and obtain confidence bands for simple slopes across the range of the moderator in the MLR, HLM, and LCA contexts. Plotting capabilities are also provided.},
-  publisher = {American Educational Research Association (AERA)},
-}
-
-@Article{Preacher-Hayes-2004,
-  author = {Kristopher J. Preacher and Andrew F. Hayes},
-  date = {2004-11},
-  journaltitle = {Behavior Research Methods, Instruments, \& Computers},
-  title = {{SPSS} and {SAS} procedures for estimating indirect effects in simple mediation models},
-  doi = {10.3758/bf03206553},
-  number = {4},
-  pages = {717--731},
-  volume = {36},
-  abstract = {Researchers often conduct mediation analysis in order to indirectly assess the effect of a proposed cause on some outcome through a proposed mediator. The utility of mediation analysis stems from its ability to go beyond the merely descriptive to a more functional understanding of the relationships among variables. A necessary component of mediation is a statistically and practically significant indirect effect. Although mediation hypotheses are frequently explored in psychological research, formal significance tests of indirect effects are rarely conducted. After a brief overview of mediation, we argue the importance of directly testing the significance of indirect effects and provide SPSS and SAS macros that facilitate estimation of the indirect effect with a normal theory approach and a bootstrap approach to obtaining confidence intervals, as well as the traditional approach advocated by Baron and Kenny (1986). We hope that this discussion and the macros will enhance the frequency of formal mediation tests in the psychology literature. Electronic copies of these macros may be downloaded from the Psychonomic Society's Web archive at www.psychonomic.org/archive/.},
-  publisher = {Springer Science and Business Media {LLC}},
-  keywords = {life satisfaction, indirect effect, mediation analysis, cognitive therapy, Sobel test},
-  annotation = {mediation, mediation-delta, mediation-bootstrap},
-}
-
-@Article{Preacher-Hayes-2008,
-  author = {Kristopher J. Preacher and Andrew F. Hayes},
-  date = {2008-08},
-  journaltitle = {Behavior Research Methods},
-  title = {Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models},
-  doi = {10.3758/brm.40.3.879},
-  number = {3},
-  pages = {879--891},
-  volume = {40},
-  abstract = {Hypotheses involving mediation are common in the behavioral sciences. Mediation exists when a predictor affects a dependent variable indirectly through at least one intervening variable, or mediator. Methods to assess mediation involving multiple simultaneous mediators have received little attention in the methodological literature despite a clear need. We provide an overview of simple and multiple mediation and explore three approaches that can be used to investigate indirect processes, as well as methods for contrasting two or more mediators within a single model. We present an illustrative example, assessing and contrasting potential mediators of the relationship between the helpfulness of socialization agents and job satisfaction. We also provide SAS and SPSS macros, as well as Mplus and LISREL syntax, to facilitate the use of these methods in applications.},
-  publisher = {Springer Science and Business Media {LLC}},
-  keywords = {indirect effect, structural equation modeling, residual covariance, total indirect effect, multiple mediator model},
-  annotation = {mediation, mediation-bootstrap},
-}
-
-@Article{Raghunathan-Lepkowski-Hoewyk-etal-2001,
-  author = {Trivellore E. Raghunathan and James M. Lepkowski and John Van Hoewyk and Peter Solenberger},
-  date = {2001},
-  journaltitle = {Survey Methodology},
-  title = {A multivariate technique for multiply imputing missing values using a sequence of regression models},
-  number = {1},
-  pages = {85--95},
-  volume = {27},
-  abstract = {This article describes and evaluates a procedure for imputing missing values for a relatively complex data structure when the data are missing at random. The imputations are obtained by fitting a sequence of regression models and drawing values from the corresponding predictive distributions. The types of regression models used are linear, logistic, Poisson, generalized logit or a mixture of these depending on the type of variable being imputed. Two additional common features in the imputation process are incorporated: restriction to a relevant subpopulation for some variables and logical bounds or constraints for the imputed values. The restrictions involve subsetting the sample individuals that satisfy certain criteria while fitting the regression models. The bounds involve drawing values from a truncated predictive distribution. The development of this method was partly motivated by the analysis of two data sets which are used as illustrations. The sequential regression procedure is applied to perform multiple imputation analysis for the two applied problems. The sampling properties of inferences from multiply imputed data sets created using the sequential regression method are evaluated through simulated data sets.},
-  keywords = {item nonresponse, missing at random, multiple imputation, nonignorable missing mechanism, regression, sampling properties and simulations},
-}
-
-@Article{Raykov-Marcoulides-2004,
-  author = {Tenko Raykov and George A. Marcoulides},
-  date = {2004-10},
-  journaltitle = {Structural Equation Modeling: A Multidisciplinary Journal},
-  title = {Using the delta method for approximate interval estimation of parameter functions in {SEM}},
-  doi = {10.1207/s15328007sem1104_7},
-  issn = {1532-8007},
-  number = {4},
-  pages = {621--637},
-  volume = {11},
-  abstract = {In applications of structural equation modeling, it is often desirable to obtain measures of uncertainty for special functions of model parameters. This article provides a didactic discussion of how a method widely used in applied statistics can be employed for approximate standard error and confidence interval evaluation of such functions. The described approach is illustrated with data from a cognitive intervention study, in which it is used to estimate time-invariant reliability in multiwave, multiple indicator models.},
-  publisher = {Informa UK Limited},
-}
-
-@Article{Schafer-Graham-2002,
-  author = {Joseph L. Schafer and John W. Graham},
-  date = {2002},
-  journaltitle = {Psychological Methods},
-  title = {Missing data: Our view of the state of the art},
-  doi = {10.1037/1082-989x.7.2.147},
-  number = {2},
-  pages = {147--177},
-  volume = {7},
-  abstract = {Statistical procedures for missing data have vastly improved, yet misconception and unsound practice still abound. The authors frame the missing-data problem, review methods, offer advice, and raise issues that remain unresolved. They clear up common misunderstandings regarding the missing at random (MAR) concept. They summarize the evidence against older procedures and, with few exceptions, discourage their use. They present, in both technical and practical language, 2 general approaches that come highly recommended: maximum likelihood (ML) and Bayesian multiple imputation (MI). Newer developments are discussed, including some for dealing with missing data that are not MAR. Although not yet in the mainstream, these procedures may eventually extend the ML and MI methods that currently represent the state of the art.},
-  publisher = {American Psychological Association ({APA})},
-}
-
-@Article{Selig-Preacher-2009,
-  author = {James P. Selig and Kristopher J. Preacher},
-  date = {2009-06},
-  journaltitle = {Research in Human Development},
-  title = {Mediation models for longitudinal data in developmental research},
-  doi = {10.1080/15427600902911247},
-  number = {2-3},
-  pages = {144--164},
-  volume = {6},
-  abstract = {Mediation models are used to describe the mechanism(s) by which one variable influences another. These models can be useful in developmental research to explicate the relationship between variables, developmental processes, or combinations of variables and processes. In this article we describe aspects of mediation effects specific to developmental research. We focus on three central issues in longitudinal mediation models: the theory of change for variables in the model, the role of time in the model, and the types of indirect effects in the model. We use these themes as we describe three different models for examining mediation in longitudinal data.},
-  publisher = {Informa {UK} Limited},
-}
-
-@Article{Serlin-2000,
-  author = {Ronald C. Serlin},
-  date = {2000},
-  journaltitle = {Psychological Methods},
-  title = {Testing for robustness in {Monte Carlo} studies},
-  doi = {10.1037/1082-989x.5.2.230},
-  number = {2},
-  pages = {230--240},
-  volume = {5},
-  abstract = {Monte Carlo studies provide the information needed to help researchers select appropriate analytical procedures under design conditions in which the underlying assumptions of the procedures are not met. In Monte Carlo studies, the 2 errors that one could commit involve (a) concluding that a statistical procedure is robust when it is not or (b) concluding that it is not robust when it is. In previous attempts to apply standard statistical design principles to Monte Carlo studies, the less severe of these errors has been wrongly designated the Type I error. In this article, a method is presented for controlling the appropriate Type I error rate; the determination of the number of iterations required in a Monte Carlo study to achieve desired power is described; and a confidence interval for a test's true Type I error rate is derived. A robustness criterion is also proposed that is a compromise between W. G. Cochran's (1952) and J. V. Bradley's (1978) criteria.},
-  publisher = {American Psychological Association ({APA})},
-  annotation = {robustness},
-}
-
-@Article{Shiffman-2009,
-  author = {Saul Shiffman},
-  date = {2009-12},
-  journaltitle = {Psychological Assessment},
-  title = {Ecological momentary assessment ({EMA}) in studies of substance use},
-  doi = {10.1037/a0017074},
-  number = {4},
-  pages = {486--497},
-  volume = {21},
-  abstract = {Ecological momentary assessment (EMA) is particularly suitable for studying substance use, because use is episodic and thought to be related to mood and context. This article reviews EMA methods in substance use research, focusing on tobacco and alcohol use and relapse, where EMA has been most applied. Common EMA designs combine event-based reports of substance use with time-based assessments. Approaches to data organization and analysis have been very diverse, particularly regarding their treatment of time. Compliance with signaled assessments is often high. Compliance with recording of substance use appears good but is harder to validate. Treatment applications of EMA are emerging. EMA captures substance use patterns not measured by questionnaires or retrospective data and holds promise for substance use research.},
-  publisher = {American Psychological Association ({APA})},
-  keywords = {ecological momentary assessment, substance use, drug use, tobacco, alcohol},
-}
-
-@Article{Shiffman-Stone-Hufford-2008,
-  author = {Saul Shiffman and Arthur A. Stone and Michael R. Hufford},
-  date = {2008-04},
-  journaltitle = {Annual Review of Clinical Psychology},
-  title = {Ecological momentary assessment},
-  doi = {10.1146/annurev.clinpsy.3.022806.091415},
-  number = {1},
-  pages = {1--32},
-  volume = {4},
-  abstract = {Assessment in clinical psychology typically relies on global retrospective self-reports collected at research or clinic visits, which are limited by recall bias and are not well suited to address how behavior changes over time and across contexts. Ecological momentary assessment (EMA) involves repeated sampling of subjects' current behaviors and experiences in real time, in subjects' natural environments. EMA aims to minimize recall bias, maximize ecological validity, and allow study of microprocesses that influence behavior in real-world contexts. EMA studies assess particular events in subjects' lives or assess subjects at periodic intervals, often by random time sampling, using technologies ranging from written diaries and telephones to electronic diaries and physiological sensors. We discuss the rationale for EMA, EMA designs, methodological and practical issues, and comparisons of EMA and recall data. EMA holds unique promise to advance the science and practice of clinical psychology by shedding light on the dynamics of behavior in real-world settings.},
-  publisher = {Annual Reviews},
-  keywords = {diary, experience sampling, real-time data capture},
-}
-
-@Article{Shrout-Bolger-2002,
-  author = {Patrick E. Shrout and Niall Bolger},
-  date = {2002},
-  journaltitle = {Psychological Methods},
-  title = {Mediation in experimental and nonexperimental studies: New procedures and recommendations},
-  doi = {10.1037/1082-989x.7.4.422},
-  number = {4},
-  pages = {422--445},
-  volume = {7},
-  publisher = {American Psychological Association ({APA})},
-  abstract = {Mediation is said to occur when a causal effect of some variable $X$ on an outcome $Y$ is explained by some intervening variable $M$. The authors recommend that with small to moderate samples, bootstrap methods (B. Efron \& R. Tibshirani, 1993) be used to assess mediation. Bootstrap tests are powerful because they detect that the sampling distribution of the mediated effect is skewed away from 0. They argue that R. M. Baron and D. A. Kenny's (1986) recommendation of first testing the $X \to Y$ association for statistical significance should not be a requirement when there is a priori belief that the effect size is small or suppression is a possibility. Empirical examples and computer setups for bootstrap analyses are provided.},
-  publisher = {American Psychological Association ({APA})},
-  annotation = {mediation, mediation-bootstrap},
-}
-
-@Article{Staudenmayer-Buonaccorsi-2005,
-  author = {John Staudenmayer and John P Buonaccorsi},
-  date = {2005-09},
-  journaltitle = {Journal of the American Statistical Association},
-  title = {Measurement error in linear autoregressive models},
-  doi = {10.1198/016214504000001871},
-  issn = {1537-274X},
-  number = {471},
-  pages = {841--852},
-  volume = {100},
-  abstract = {Time series data are often subject to measurement error, usually the result of needing to estimate the variable of interest. Although it is often reasonable to assume that the measurement error is additive (i.e., the estimator is conditionally unbiased for the missing true value), the measurement error variances often vary as a result of changes in the population/process over time and/or changes in sampling effort. In this article we address estimation of the parameters in linear autoregressive models in the presence of additive and uncorrelated measurement errors, allowing heteroscedasticity in the measurement error variances. We establish the asymptotic properties of naive estimators that ignore measurement error and propose an estimator based on correcting the Yule–Walker estimating equations. We also examine a pseudo-likelihood method based on normality assumptions and computed using the Kalman filter. We review other techniques that have been proposed, including two that require no information about the measurement error variances, and compare the various estimators both theoretically and via simulations. The estimator based on corrected estimating equations is easy to obtain and readily accommodates (and is robust to) unequal measurement error variances. Asymptotic calculations and finite-sample simulations show that it is often relatively efficient.},
-  publisher = {Informa UK Limited},
-}
-
-@Article{Swift-2000,
-  author = {Robert Swift},
-  date = {2000-04},
-  journaltitle = {Alcoholism: Clinical and Experimental Research},
-  title = {Transdermal alcohol measurement for estimation of blood alcohol concentration},
-  doi = {10.1111/j.1530-0277.2000.tb02006.x},
-  issn = {1530-0277},
-  number = {4},
-  pages = {422--423},
-  volume = {24},
-  publisher = {Wiley},
-}
-
-@Article{Taylor-MacKinnon-Tein-2007,
-  author = {Aaron B. Taylor and David P. MacKinnon and Jenn-Yun Tein},
-  date = {2007-07},
-  journaltitle = {Organizational Research Methods},
-  title = {Tests of the three-path mediated effect},
-  doi = {10.1177/1094428107300344},
-  number = {2},
-  pages = {241--269},
-  volume = {11},
-  abstract = {In a three-path mediational model, two mediators intervene in a series between an independent and a dependent variable. Methods of testing for mediation in such a model are generalized from the more often used single-mediator model. Six such methods are introduced and compared in a Monte Carlo study in terms of their Type I error, power, and coverage. Based on its results, the joint significance test is preferred when only a hypothesis test is of interest. The percentile bootstrap and bias-corrected bootstrap are preferred when a confidence interval on the mediated effect is desired, with the latter having more power but also slightly inflated Type I error in some conditions.},
-  publisher = {{SAGE} Publications},
-  keywords = {mediation, bootstrapping},
-  annotation = {mediation, mediation-bootstrap, mediation-jointtest},
-}
-
-@Article{vanBuuren-Brand-GroothuisOudshoorn-etal-2006,
-  author = {Stef {van Buuren} and J. P. L. Brand and C. G. M. Groothuis-Oudshoorn and Donald B. Rubin},
-  date = {2006-12},
-  journaltitle = {Journal of Statistical Computation and Simulation},
-  title = {Fully conditional specification in multivariate imputation},
-  doi = {10.1080/10629360600810434},
-  number = {12},
-  pages = {1049--1064},
-  volume = {76},
-  abstract = {The use of the Gibbs sampler with fully conditionally specified models, where the distribution of each variable given the other variables is the starting point, has become a popular method to create imputations in incomplete multivariate data. The theoretical weakness of this approach is that the specified conditional densities can be incompatible, and therefore the stationary distribution to which the Gibbs sampler attempts to converge may not exist. This study investigates practical consequences of this problem by means of simulation. Missing data are created under four different missing data mechanisms. Attention is given to the statistical behavior under compatible and incompatible models. The results indicate that multiple imputation produces essentially unbiased estimates with appropriate coverage in the simple cases investigated, even for the incompatible models. Of particular interest is that these results were produced using only five Gibbs iterations starting from a simple draw from observed marginal distributions. It thus appears that, despite the theoretical weaknesses, the actual performance of conditional model specification for multivariate imputation can be quite good, and therefore deserves further study.},
-  publisher = {Informa {UK} Limited},
-  keywords = {multivariate missing data, multiple imputation, distributional compatibility, Gibbs sampling, simulation, proper imputation},
-}
-
-@Article{Wang-Zhang-2020,
-  author = {Lijuan Wang and Qian Zhang},
-  date = {2020-06},
-  journaltitle = {Psychological Methods},
-  title = {Investigating the impact of the time interval selection on autoregressive mediation modeling: Result interpretations, effect reporting, and temporal designs},
-  doi = {10.1037/met0000235},
-  issn = {1082-989X},
-  number = {3},
-  pages = {271--291},
-  volume = {25},
-  abstract = {This study investigates the impact of the time interval (the time passed between 2 consecutive measurements) selection on autoregressive mediation modeling (AMM). For a widely used autoregressive mediation model, via analytical derivations, we explained why and how the conventionally reported time-specific coefficient estimates (e.g., $\hat{a} \hat{bb}$ and $\hat{c}^{\prime}$ ) and inference results in AMM provide limited information and can arrive in even misleading conclusions about direct and indirect effects over time. Furthermore, under the stationarity assumption, we proposed an approach to calculate the overall direct and indirect effect estimates over time and the time lag lengths at which they reach maxima, using AMM results. The derivation results revealed that the overall direct and indirect effect curves are asymptotically invariant to the time interval selection, under stationarity. With finite samples and thus sampling errors and potential computing problems, however, our simulation results revealed that the overall indirect effect curves were better recovered when the time interval is selected to be closer to half of the time lag length at which the overall indirect effect reaches its maximum. An R function and an R Shiny app were developed to obtain the overall direct and indirect effect curves over time and facilitate the time interval selection using AMM results. Our findings provide another look at the connections between AMM and continuous time mediation modeling and the connections are discussed. },
-  publisher = {American Psychological Association (APA)},
-}
-
-@Article{Yuan-Bentler-2000,
-  author = {Ke-Hai Yuan and Peter M. Bentler},
-  date = {2000-08},
-  journaltitle = {Sociological Methodology},
-  title = {Three likelihood-based methods for mean and covariance structure analysis with nonnormal missing data},
-  doi = {10.1111/0081-1750.00078},
-  number = {1},
-  pages = {165--200},
-  volume = {30},
-  abstract = {Survey and longitudinal studies in the social and behavioral sciences generally contain missing data. Mean and covariance structure models play an important role in analyzing such data. Two promising methods for dealing with missing data are a direct maximum-likelihood and a two-stage approach based on the unstructured mean and covariance estimates obtained by the EM-algorithm. Typical assumptions under these two methods are ignorable nonresponse and normality of data. However, data sets in social and behavioral sciences are seldom normal, and experience with these procedures indicates that normal theory based methods for nonnormal data very often lead to incorrect model evaluations. By dropping the normal distribution assumption, we develop more accurate procedures for model inference. Based on the theory of generalized estimating equations, a way to obtain consistent standard errors of the two-stage estimates is given. The asymptotic efficiencies of different estimators are compared under various assumptions. We also propose a minimum chi-square approach and show that the estimator obtained by this approach is asymptotically at least as efficient as the two likelihood-based estimators for either normal or nonnormal data. The major contribution of this paper is that for each estimator, we give a test statistic whose asymptotic distribution is chisquare as long as the underlying sampling distribution enjoys finite fourth-order moments. We also give a characterization for each of the two likelihood ratio test statistics when the underlying distribution is nonnormal. Modifications to the likelihood ratio statistics are also given. Our working assumption is that the missing data mechanism is missing completely at random. Examples and Monte Carlo studies indicate that, for commonly encountered nonnormal distributions, the procedures developed in this paper are quite reliable even for samples with missing data that are missing at random.},
-  publisher = {{SAGE} Publications},
-}
-
-@Article{Yuan-MacKinnon-2009,
-  author = {Ying Yuan and David P. MacKinnon},
-  date = {2009-12},
-  journaltitle = {Psychological Methods},
-  title = {Bayesian mediation analysis.},
-  doi = {10.1037/a0016972},
-  issn = {1082-989X},
-  number = {4},
-  pages = {301--322},
-  volume = {14},
-  abstract = {In this article, we propose Bayesian analysis of mediation effects. Compared with conventional frequentist mediation analysis, the Bayesian approach has several advantages. First, it allows researchers to incorporate prior information into the mediation analysis, thus potentially improving the efficiency of estimates. Second, under the Bayesian mediation analysis, inference is straightforward and exact, which makes it appealing for studies with small samples. Third, the Bayesian approach is conceptually simpler for multilevel mediation analysis. Simulation studies and analysis of 2 data sets are used to illustrate the proposed methods.},
-  publisher = {American Psychological Association (APA)},
-}
-
-@Article{Zeileis-2004,
-  author = {Achim Zeileis},
-  date = {2004},
-  journaltitle = {Journal of Statistical Software},
-  title = {Econometric computing with {HC} and {HAC} covariance matrix estimators},
-  doi = {10.18637/jss.v011.i10},
-  number = {10},
-  volume = {11},
-  abstract = {Data described by econometric models typically contains autocorrelation and/or heteroskedasticity of unknown form and for inference in such models it is essential to use covariance matrix estimators that can consistently estimate the covariance of the model parameters. Hence, suitable heteroskedasticity consistent (HC) and heteroskedasticity and autocorrelation consistent (HAC) estimators have been receiving attention in the econometric literature over the last 20 years. To apply these estimators in practice, an implementation is needed that preferably translates the conceptual properties of the underlying theoretical frameworks into computational tools. In this paper, such an implementation in the package sandwich in the R system for statistical computing is described and it is shown how the suggested functions provide reusable components that build on readily existing functionality and how they can be integrated easily into new inferential procedures or applications. The toolbox contained in sandwich is extremely flexible and comprehensive, including specific functions for the most important HC and HAC estimators from the econometric literature. Several real-world data sets are used to illustrate how the functionality can be integrated into applications.},
-  publisher = {Foundation for Open Access Statistic},
-  annotation = {regression, regression-hc},
-}
-
-@Article{Zeileis-2006,
-  author = {Achim Zeileis},
-  date = {2006-08},
-  journaltitle = {Journal of Statistical Software},
-  title = {Object-oriented computation of sandwich estimators},
-  doi = {10.18637/jss.v016.i09},
-  number = {9},
-  volume = {16},
-  abstract = {Sandwich covariance matrix estimators are a popular tool in applied regression modeling for performing inference that is robust to certain types of model misspecification. Suitable implementations are available in the R system for statistical computing for certain model fitting functions only (in particular lm()), but not for other standard regression functions, such as glm(), nls(), or survreg(). Therefore, conceptual tools and their translation to computational tools in the package sandwich are discussed, enabling the computation of sandwich estimators in general parametric models. Object orientation can be achieved by providing a few extractor functions' most importantly for the empirical estimating functions' from which various types of sandwich estimators can be computed.},
-  publisher = {Foundation for Open Access Statistic},
-  annotation = {regression, regression-hc},
-}
-
-@Book{Casella-Berger-2002,
-  author = {George Casella and Robert L. Berger},
-  date = {2002},
-  title = {Statistical inference},
-  isbn = {9780534243128},
-  location = {Pacific Grove, CA},
-  publisher = {Thomson Learning},
-  abstract = {This book builds theoretical statistics from the first principles of probability theory. Starting from the basics of probability, the authors develop the theory of statistical inference using techniques, definitions, and concepts that are statistical and are natural extensions and consequences of previous concepts. This book can be used for readers who have a solid mathematics background. It can also be used in a way that stresses the more practical uses of statistical theory, being more concerned with understanding basic statistical concepts and deriving reasonable statistical procedures for a variety of situations, and less concerned with formal optimality investigations.},
-}
-
-@Book{Collins-Sayer-2002,
-  date = {2002},
-  title = {New methods for the analysis of change},
-  edition = {2},
-  editor = {Linda M. Collins and Aline Sayer},
-  isbn = {1557987548},
-  location = {Washington, DC},
-  note = {Based on a conference held in 1998 at The Pennsylvania State Univ.},
-  pagetotal = {442},
-  publisher = {American Psychological Association},
-  series = {Decade of behavior},
-  subtitle = {[based on a conference held in 1998 at The Pennsylvania State University, a follow-up to the Los Angeles conference Best Methods for the Analysis of Change]},
-  ppn_gvk = {612816524},
-}
-
-@Book{Fernandez-2002,
-  author = {Ephrem Fernandez},
-  date = {2002},
-  title = {Anxiety, depression, and anger in pain: Research findings and clinical options},
-  isbn = {978-0972316408},
-  publisher = {Advanced Psychological Resources},
-  location = {Dallas, TX},
-  abstract = {This book is about the many ways in which anxiety, depression, and anger can predispose a person to pain, trigger the pain, aggravate it, maintain it, in addition to being correlates or consequences of pain. These interactions are clearly illustrated and embellished with examples. Pain is described in terms of neurological signals, sensation, perception, cognition, and behavior, but with special reference to emotions, moods, and affective disorders.
-In each of the chapters on anxiety, depression, and anger, the author conveys the significance of emotional problems while also providing data on their prevalence and relationship to demographic factors. Underlying mechanisms are explored with keen attention to psychosocial and biochemical processes. Then, options are discussed for assessment and treatment. Psychological tests for anxiety, depression, and anger are pitted against one another to allow the selection of the best. Treatment strategies of both the psychological and pharmacological varieties are evaluated for effectiveness and side effects. Thus for anxiety, information is provided on tranquilizers as well as attention-diversion, thought-stopping, reappraisal, respiratory regulation, muscle relaxation, biofeedback, music, hypnosis, and massage. Depression treatment is described with reference to psychodynamic and cognitive therapies but with an in-depth analysis of whether antidepressant medications actually relieve pain or depression. For anger, a case is made for the novel integration of cognitive, behavioral, and experiential strategies.
-The final chapter succinctly summarizes all the main findings while also suggesting ideas for future study. The book is practical in its objectives to the very end. What gives it particular strength is the heavy reliance on empirical evidence and theory. In short, this book unravels the complex interactions among pain, anxiety, depression, and anger -- consistently sounding its relevance to pain sufferers, pain clinicians, scholars, and students in this field.},
-}
-
-@Book{Hektner-Schmidt-Csikszentmihalyi-2007,
-  author = {Joel Hektner and Jennifer Schmidt and Mihaly Csikszentmihalyi},
-  date = {2007},
-  title = {Experience sampling method: Measuring the quality of everyday life},
-  doi = {10.4135/9781412984201},
-  isbn = {9781412984201},
-  publisher = {SAGE Publications, Inc.},
-  abstract = {Experience Sampling Method: Measuring the Quality of Everyday Life is the first book to bring together the theoretical foundations and practical applications of this indispensable methodology. Authors Joel M. Hektner, Jennifer A. Schmidt, and Mihaly Csikszentmihalyi provide fascinating information for anyone interested in how people go about their daily lives. Key Features: Provides a step-by-step guide: In nontechnical prose, the book details the logistics of carrying out an Experience Sampling Method (ESM) study and guides the reader through every step of the process, from conceiving the research question to analyzing the data. In addition, a through treatment of the measurement of Csikszentmihalyi s flow describes all of the different ways in which flow can be measured. Includes real-life examples: This book gives readers useful tips to consider before implementing a study, based on real-life examples. It illustrates how the ESM has been used to address a diverse array of topics in social science research including the phenomenology of everyday life, gender differences, family relations, work experiences, cross-cultural differences and similarities, school experiences, and mental health. Offers a complete overview of the foundations for ESM: This is the first source to compile findings from a large and increasingly diverse research literature documenting the use of the ESM. A comprehensive overview is given of issues affecting reliability and validity of the method and empirical evidence of its psychometric properties. Intended Audience: This is a must-have resource for social and behavioral scientists who are studying the human experience in everyday life and need guidelines for how to validate and present their data. It can also be used in various advanced undergraduate and graduate research methods courses in the departments of Education, Educational Psychology, Psychology, Nursing, and Health.},
-}
-
-@Book{Iacus-2008,
-  author = {Stefano M. Iacus},
-  date = {2008},
-  title = {Simulation and Inference for Stochastic Differential Equations},
-  doi = {10.1007/978-0-387-75839-8},
-  publisher = {Springer New York},
-}
-
-@Book{Lutkepohl-2005,
-  author = {Helmut L{\"u}tkepohl},
-  date = {2005},
-  title = {New introduction to multiple time series analysis},
-  doi = {10.1007/978-3-540-27752-1},
-  isbn = {978-3-540-27752-1},
-  location = {Berlin},
-  pagetotal = {764},
-  abstract = {This reference work and graduate level textbook considers a wide range of models and methods for analyzing and forecasting multiple time series. The models covered include vector autoregressive, cointegrated, vector autoregressive moving average, multivariate ARCH and periodic processes as well as dynamic simultaneous equations and state space models. Least squares, maximum likelihood and Bayesian methods are considered for estimating these models. Different procedures for model selection and model specification are treated and a wide range of tests and criteria for model checking are introduced. Causality analysis, impulse response analysis and innovation accounting are presented as tools for structural analysis. The book is accessible to graduate students in business and economics. In addition, multiple time series courses in other fields such as statistics and engineering may be based on it. Applied researchers involved in analyzing multiple time series may benefit from the book as it provides the background and tools for their tasks. It bridges the gap to the difficult technical literature on the topic.},
-  publisher = {Springer Berlin Heidelberg},
-}
-
-@Book{MacKinnon-2008,
-  author = {David P. MacKinnon},
-  series = {Multivariate applications},
-  date = {2008},
-  title = {Introduction to statistical mediation analysis},
-  doi = {10.4324/9780203809556},
-  isbn = {9780805864298},
-  location = {Hoboken},
-  pages = {488},
-  library = {QA278.2 .M29 2008},
-  addendum = {https://lccn.loc.gov/2007011793},
-  abstract = {This volume introduces the statistical, methodological, and conceptual aspects of mediation analysis. Applications from health, social, and developmental psychology, sociology, communication, exercise science, and epidemiology are emphasized throughout. Single-mediator, multilevel, and longitudinal models are reviewed. The author's goal is to help the reader apply mediation analysis to their own data and understand its limitations.
-  Each chapter features an overview, numerous worked examples, a summary, and exercises (with answers to the odd numbered questions). The accompanying downloadable resources contain outputs described in the book from SAS, SPSS, LISREL, EQS, MPLUS, and CALIS, and a program to simulate the model. The notation used is consistent with existing literature on mediation in psychology.
-  The book opens with a review of the types of research questions the mediation model addresses. Part II describes the estimation of mediation effects including assumptions, statistical tests, and the construction of confidence limits. Advanced models including mediation in path analysis, longitudinal models, multilevel data, categorical variables, and mediation in the context of moderation are then described. The book closes with a discussion of the limits of mediation analysis, additional approaches to identifying mediating variables, and future directions.
-  Introduction to Statistical Mediation Analysis is intended for researchers and advanced students in health, social, clinical, and developmental psychology as well as communication, public health, nursing, epidemiology, and sociology. Some exposure to a graduate level research methods or statistics course is assumed. The overview of mediation analysis and the guidelines for conducting a mediation analysis will be appreciated by all readers.},
-  publisher = {Erlbaum Psych Press},
-  keywords = {Mediation (Statistics)},
-  annotation = {mediation, mediation-book},
-}
-
-@Book{Venables-Ripley-2002,
-  author = {W. N. Venables and B. D. Ripley},
-  date = {2002},
-  title = {Modern applied statistics with {S}},
-  doi = {10.1007/978-0-387-21706-2},
-  publisher = {Springer New York},
-}
-
-@Article{Aalen-Roysland-Gran-etal-2012,
-  author = {Odd O. Aalen and Kjetil R{\o}ysland and Jon Michael Gran and Bruno Ledergerber},
-  date = {2012},
-  journaltitle = {Journal of the Royal Statistical Society. Series A (Statistics in Society)},
-  title = {Causality, mediation and time: A dynamic viewpoint},
-  issn = {09641998, 1467985X},
-  number = {4},
-  pages = {831--861},
-  doi = {10.1111/j.1467-985X.2011.01030.x},
-  volume = {175},
-  abstract = {Time dynamics are often ignored in causal modelling. Clearly, causality must operate in time and we show how this corresponds to a mechanistic, or system, understanding of causality. The established counterfactual definitions of direct and indirect effects depend on an ability to manipulate the mediator which may not hold in practice, and we argue that a mechanistic view may be better. Graphical representations based on local independence graphs and dynamic path analysis are used to facilitate communication as well as providing an overview of the dynamic relations 'at a glance'. The relationship between causality as understood in a mechanistic and in an interventionist sense is discussed. An example using data from the Swiss HIV Cohort Study is presented.},
-  publisher = {Wiley},
-}
-
-@Article{Aalen-Roysland-Gran-etal-2016,
-  author = {Odd O. Aalen and Kjetil R{\o}ysland and Jon Michael Gran and Roger Kouyos and Theis Lange},
-  date = {2016-07},
-  journaltitle = {Statistical Methods in Medical Research},
-  title = {Can we believe the {DAGs}? {A} comment on the relationship between causal {DAGs} and mechanisms},
-  doi = {10.1177/0962280213520436},
-  issn = {1477-0334},
-  number = {5},
-  pages = {2294--2314},
-  volume = {25},
-  abstract = {Directed acyclic graphs (DAGs) play a large role in the modern approach to causal inference. DAGs describe the relationship between measurements taken at various discrete times including the effect of interventions. The causal mechanisms, on the other hand, would naturally be assumed to be a continuous process operating over time in a cause–effect fashion. How does such immediate causation, that is causation occurring over very short time intervals, relate to DAGs constructed from discrete observations? We introduce a time-continuous model and simulate discrete observations in order to judge the relationship between the DAG and the immediate causal model. We find that there is no clear relationship; indeed the Bayesian network described by the DAG may not relate to the causal model. Typically, discrete observations of a process will obscure the conditional dependencies that are represented in the underlying mechanistic model of the process. It is therefore doubtful whether DAGs are always suited to describe causal relationships unless time is explicitly considered in the model. We relate the issues to mechanistic modeling by using the concept of local (in)dependence. An example using data from the Swiss HIV Cohort Study is presented.},
-  publisher = {SAGE Publications},
-}
-
-@Article{Asparouhov-Hamaker-Muthen-2017,
-  author = {Tihomir Asparouhov and Ellen L. Hamaker and Bengt Muth{\a'e}n},
-  date = {2017-12},
-  journaltitle = {Structural Equation Modeling: A Multidisciplinary Journal},
-  title = {Dynamic structural equation models},
-  doi = {10.1080/10705511.2017.1406803},
-  number = {3},
-  pages = {359--388},
-  volume = {25},
-  abstract = {This article presents dynamic structural equation modeling (DSEM), which can be used to study the evolution of observed and latent variables as well as the structural equation models over time. DSEM is suitable for analyzing intensive longitudinal data where observations from multiple individuals are collected at many points in time. The modeling framework encompasses previously published DSEM models and is a comprehensive attempt to combine time-series modeling with structural equation modeling. DSEM is estimated with Bayesian methods using the Markov chain Monte Carlo Gibbs sampler and the Metropolis-Hastings sampler. We provide a detailed description of the estimation algorithm as implemented in the Mplus software package. DSEM can be used for longitudinal analysis of any duration and with any number of observations across time. Simulation studies are used to illustrate the framework and study the performance of the estimation method. Methods for evaluating model fit are also discussed.},
-  publisher = {Informa {UK} Limited},
-  keywords = {Bayesian methods, dynamic factor analysis, intensive longitudinal data, time series analysis},
-}
-
-@Article{Biesanz-Falk-Savalei-2010,
-  author = {Jeremy C. Biesanz and Carl F. Falk and Victoria Savalei},
-  date = {2010-08},
-  journaltitle = {Multivariate Behavioral Research},
-  title = {Assessing mediational models: Testing and interval estimation for indirect effects},
-  doi = {10.1080/00273171.2010.498292},
-  number = {4},
-  pages = {661--701},
-  volume = {45},
-  abstract = {Theoretical models specifying indirect or mediated effects are common in the social sciences. An indirect effect exists when an independent variable's influence on the dependent variable is mediated through an intervening variable. Classic approaches to assessing such mediational hypotheses (Baron \& Kenny, 1986; Sobel, 1982) have in recent years been supplemented by computationally intensive methods such as bootstrapping, the distribution of the product methods, and hierarchical Bayesian Markov chain Monte Carlo (MCMC) methods. These different approaches for assessing mediation are illustrated using data from Dunn, Biesanz, Human, and Finn (2007). However, little is known about how these methods perform relative to each other, particularly in more challenging situations, such as with data that are incomplete and/or nonnormal. This article presents an extensive Monte Carlo simulation evaluating a host of approaches for assessing mediation. We examine Type I error rates, power, and coverage. We study normal and nonnormal data as well as complete and incomplete data. In addition, we adapt a method, recently proposed in statistical literature, that does not rely on confidence intervals (CIs) to test the null hypothesis of no indirect effect. The results suggest that the new inferential method--the partial posterior p value--slightly outperforms existing ones in terms of maintaining Type I error rates while maximizing power, especially with incomplete data. Among confidence interval approaches, the bias-corrected accelerated (BCa) bootstrapping approach often has inflated Type I error rates and inconsistent coverage and is not recommended. In contrast, the bootstrapped percentile confidence interval and the hierarchical Bayesian MCMC method perform best overall, maintaining Type I error rates, exhibiting reasonable power, and producing stable and accurate coverage rates.},
-  publisher = {Informa {UK} Limited},
-  annotation = {mediation, mediation-bootstrap, mediation-bayesian},
-}
-
-@Article{Blanca-Arnau-LopezMontiel-etal-2013,
-  author = {Maria J. Blanca and Jaume Arnau and Dolores Lopez-Montiel and Roser Bono and Rebecca Bendayan},
-  date = {2013-05},
-  journaltitle = {Methodology},
-  title = {Skewness and kurtosis in real data samples},
-  doi = {10.1027/1614-2241/a000057},
-  number = {2},
-  pages = {78--84},
-  volume = {9},
-  abstract = {Parametric statistics are based on the assumption of normality. Recent findings suggest that Type I error and power can be adversely affected when data are non-normal. This paper aims to assess the distributional shape of real data by examining the values of the third and fourth central moments as a measurement of skewness and kurtosis in small samples. The analysis concerned 693 distributions with a sample size ranging from 10 to 30. Measures of cognitive ability and of other psychological variables were included. The results showed that skewness ranged between -2.49 and 2.33. The values of kurtosis ranged between -1.92 and 7.41. Considering skewness and kurtosis together the results indicated that only 5.5\% of distributions were close to expected values under normality. Although extreme contamination does not seem to be very frequent, the findings are consistent with previous research suggesting that normality is not the rule with real data.},
-  publisher = {Hogrefe Publishing Group},
-}
-
-@Article{Boettiger-Eddelbuettel-2017,
-  author = {Carl Boettiger and Dirk Eddelbuettel},
-  date = {2017},
-  journaltitle = {The R Journal},
-  title = {An introduction to {Rocker}: Docker containers for {R}},
-  doi = {10.32614/rj-2017-065},
-  number = {2},
-  pages = {527},
-  volume = {9},
-  abstract = {We describe the Rocker project, which provides a widely-used suite of Docker images with customized R environments for particular tasks. We discuss how this suite is organized, and how these tools can increase portability, scaling, reproducibility, and convenience of R users and developers.},
-  publisher = {The R Foundation},
-  annotation = {container, container-docker, container-docker-rocker},
-}
-
-@Article{Chen-Daniel-Ziad-etal-2011,
-  author = {Gang Chen and Daniel R. Glen and Ziad S. Saad and J. Paul Hamilton and Moriah E. Thomason and Ian H. Gotlib and Robert W. Cox},
-  date = {2011-12},
-  journaltitle = {Computers in Biology and Medicine},
-  title = {Vector autoregression, structural equation modeling, and their synthesis in neuroimaging data analysis},
-  doi = {10.1016/j.compbiomed.2011.09.004},
-  number = {12},
-  pages = {1142--1155},
-  volume = {41},
-  abstract = {Vector autoregression (VAR) and structural equation modeling (SEM) are two popular brain-network modeling tools. VAR, which is a data-driven approach, assumes that connected regions exert time-lagged influences on one another. In contrast, the hypothesis-driven SEM is used to validate an existing connectivity model where connected regions have contemporaneous interactions among them. We present the two models in detail and discuss their applicability to FMRI data, and their interpretational limits. We also propose a unified approach that models both lagged and contemporaneous effects. The unifying model, structural vector autoregression (SVAR), may improve statistical and explanatory power, and avoid some prevalent pitfalls that can occur when VAR and SEM are utilized separately.},
-  keywords = {connectivity analysis, vector autoregression (VAR), structural equation modeling (SEM), structural vector autoregression (SVAR)},
-  publisher = {Elsevier {BV}},
-}
-
-@Article{Chow-Ho-Hamaker-etal-2010,
-  author = {Sy-Miin Chow and Moon-ho R. Ho and Ellen L. Hamaker and Conor V. Dolan},
-  date = {2010-04},
-  journaltitle = {Structural Equation Modeling: A Multidisciplinary Journal},
-  title = {Equivalence and differences between structural equation modeling and state-space modeling techniques},
-  doi = {10.1080/10705511003661553},
-  number = {2},
-  pages = {303--332},
-  volume = {17},
-  abstract = {State-space modeling techniques have been compared to structural equation modeling (SEM) techniques in various contexts but their unique strengths have often been overshadowed by their similarities to SEM. In this article, we provide a comprehensive discussion of these 2 approaches' similarities and differences through analytic comparisons and numerical simulations, with a focus on their use in representing intraindividual dynamics and interindividual differences. To demonstrate the respective strengths and weaknesses of the 2 approaches in representing these 2 aspects, we simulated data under (a) a cross-sectional common factor model, (b) a latent difference score model with random effects in intercept and slope, and (c) a bivariate dynamic factor analysis model with auto- and cross-regression parameters. Possible ways in which SEM and state-space modeling can be utilized as complementary tools in representing human developmental and other related processes are discussed.},
-  publisher = {Informa {UK} Limited},
-  annotation = {ild, sem, ssm},
-}
-
-@Article{Curran-Bauer-2011,
-  author = {Patrick J. Curran and Daniel J. Bauer},
-  date = {2011-01},
-  journaltitle = {Annual Review of Psychology},
-  title = {The disaggregation of within-person and between-person effects in longitudinal models of change},
-  doi = {10.1146/annurev.psych.093008.100356},
-  number = {1},
-  pages = {583--619},
-  volume = {62},
-  abstract = {Longitudinal models are becoming increasingly prevalent in the behavioral sciences, with key advantages including increased power, more comprehensive measurement, and establishment of temporal precedence. One particularly salient strength offered by longitudinal data is the ability to disaggregate between-person and within-person effects in the regression of an outcome on a time-varying covariate. However, the ability to disaggregate these effects has not been fully capitalized upon in many social science research applications. Two likely reasons for this omission are the general lack of discussion of disaggregating effects in the substantive literature and the need to overcome several remaining analytic challenges that limit existing quantitative methods used to isolate these effects in practice. This review explores both substantive and quantitative issues related to the disaggregation of effects over time, with a particular emphasis placed on the multilevel model. Existing analytic methods are reviewed, a general approach to the problem is proposed, and both the existing and proposed methods are demonstrated using several artificial data sets. Potential limitations and directions for future research are discussed, and recommendations for the disaggregation of effects in practice are offered.},
-  publisher = {Annual Reviews},
-  keywords = {multilevel modeling, growth modeling, trajectory analysis, within-person effects},
-}
-
-@Article{Deboeck-Boulton-2016,
-  author = {Pascal R. Deboeck and Aaron J. Boulton},
-  date = {2016-10},
-  journaltitle = {Structural Equation Modeling: A Multidisciplinary Journal},
-  title = {Integration of stochastic differential equations using structural equation modeling: A method to facilitate model fitting and pedagogy},
-  doi = {10.1080/10705511.2016.1218763},
-  issn = {1532-8007},
-  number = {6},
-  pages = {888--903},
-  volume = {23},
-  abstract = {Stochastic differential equation (SDE) models are a promising method for modeling intraindividual change and variability. Applications of SDEs in the social sciences are relatively limited, as these models present conceptual and programming challenges. This article presents a novel method for conceptualizing SDEs. This method uses structural equation modeling (SEM) conventions to simplify SDE specification, the flexibility of SEM to expand the range of SDEs that can be fit, and SEM diagram conventions to facilitate the teaching of SDE concepts. This method is a variation of latent difference scores (McArdle, 2009; McArdle \& Hamagami, 2001) and the oversampling approach (Singer, 2012), and approximates the advantages of analytic methods such as the exact discrete model (Oud \& Jansen, 2000) while retaining the modeling fiexibility of methods such as latent differential equation modeling (Boker, Neale, \& Rausch, 2004). A simulation and empirical example are presented to illustrate that this method can be implemented on current computing hardware, produces good approximations of analytic solutions, and can flexibly accommodate novel models.},
-  publisher = {Informa UK Limited},
-}
-
-@Article{Deboeck-Preacher-2015,
-  author = {Pascal R. Deboeck and Kristopher J. Preacher},
-  date = {2015-06},
-  journaltitle = {Structural Equation Modeling: A Multidisciplinary Journal},
-  title = {No need to be discrete: A method for continuous time mediation analysis},
-  doi = {10.1080/10705511.2014.973960},
-  number = {1},
-  pages = {61--75},
-  volume = {23},
-  abstract = {Mediation is one concept that has shaped numerous theories. The list of problems associated with mediation models, however, has been growing. Mediation models based on cross-sectional data can produce unexpected estimates, so much so that making longitudinal or causal inferences is inadvisable. Even longitudinal mediation models have faults, as parameter estimates produced by these models are specific to the lag between observations, leading to much debate over appropriate lag selection. Using continuous time models (CTMs) rather than commonly employed discrete time models, one can estimate lag-independent parameters. We demonstrate methodology that allows for continuous time mediation analyses, with attention to concepts such as indirect and direct effects, partial mediation, the effect of lag, and the lags at which relations become maximal. A simulation compares common longitudinal mediation methods with CTMs. Reanalysis of a published covariance matrix demonstrates that CTMs can be fit to data used in longitudinal mediation studies.},
-  publisher = {Informa {UK} Limited},
-  keywords = {continuous time models, cross-lagged panel model, exact discrete model, longitudinal mediation, mediation},
-  annotation = {mediation, mediation-longitudinal},
-}
-
-@Article{Demeshko-Washio-Kawahara-etal-2015,
-  author = {Marina Demeshko and Takashi Washio and Yoshinobu Kawahara and Yuriy Pepyolyshev},
-  date = {2015-11},
-  journaltitle = {{ACM} Transactions on Intelligent Systems and Technology},
-  title = {A novel continuous and structural {VAR} modeling approach and its application to reactor noise analysis},
-  doi = {10.1145/2710025},
-  number = {2},
-  pages = {1--22},
-  volume = {7},
-  abstract = {A vector autoregressive model in discrete time domain (DVAR) is often used to analyze continuous time, multivariate, linear Markov systems through their observed time series data sampled at discrete timesteps. Based on previous studies, the DVAR model is supposed to be a noncanonical representation of the system, that is, it does not correspond to a unique system bijectively. However, in this article, we characterize the relations of the DVAR model with its corresponding Structural Vector AR (SVAR) and Continuous Time Vector AR (CTVAR) models through a finite difference method across continuous and discrete time domain. We further clarify that the DVAR model of a continuous time, multivariate, linear Markov system is canonical under a highly generic condition. Our analysis shows that we can uniquely reproduce its SVAR and CTVAR models from the DVAR model. Based on these results, we propose a novel Continuous and Structural Vector Autoregressive (CSVAR) modeling approach to derive the SVAR and the CTVAR models from their DVAR model empirically derived from the observed time series of continuous time linear Markov systems. We demonstrate its superior performance through some numerical experiments on both artificial and real-world data.},
-  publisher = {Association for Computing Machinery ({ACM})},
-  keywords = {casual discovery, ARMA models, control theory, AR model, SVAR model, CTVAR model, continuous time linear Markov
-system, canonicality, nuclear reactor noise analysis},
-}
-
-@Article{Driver-Oud-Voelkle-2017,
-  author = {Charles C. Driver and Johan H. L. Oud and Manuel C. Voelkle},
-  date = {2017},
-  journaltitle = {Journal of Statistical Software},
-  title = {Continuous time structural equation modeling with {R} package {ctsem}},
-  doi = {10.18637/jss.v077.i05},
-  issn = {1548-7660},
-  number = {5},
-  volume = {77},
-  abstract = {We introduce ctsem, an R package for continuous time structural equation modeling of panel (N > 1) and time series (N = 1) data, using full information maximum likelihood. Most dynamic models (e.g., cross-lagged panel models) in the social and behavioural sciences are discrete time models. An assumption of discrete time models is that time intervals between measurements are equal, and that all subjects were assessed at the same intervals. Violations of this assumption are often ignored due to the difficulty of accounting for varying time intervals, therefore parameter estimates can be biased and the time course of effects becomes ambiguous. By using stochastic differential equations to estimate an underlying continuous process, continuous time models allow for any pattern of measurement occasions. By interfacing to OpenMx, ctsem combines the flexible specification of structural equation models with the enhanced data gathering opportunities and improved estimation of continuous time models. ctsem can estimate relationships over time for multiple latent processes, measured by multiple noisy indicators with varying time intervals between observations. Within and between effects are estimated simultaneously by modeling both observed covariates and unobserved heterogeneity. Exogenous shocks with different shapes, group differences, higher order diffusion effects and oscillating processes can all be simply modeled. We first introduce and define continuous time models, then show how to specify and estimate a range of continuous time models using ctsem. },
-  publisher = {Foundation for Open Access Statistic},
-}
-
-@Article{Driver-Voelkle-2018,
-  author = {Charles C. Driver and Manuel C. Voelkle},
-  date = {2018-12},
-  journaltitle = {Psychological Methods},
-  title = {Hierarchical {Bayesian} continuous time dynamic modeling.},
-  doi = {10.1037/met0000168},
-  issn = {1082-989X},
-  number = {4},
-  pages = {774--799},
-  volume = {23},
-  abstract = {Continuous time dynamic models are similar to popular discrete time models such as autoregressive cross-lagged models, but through use of stochastic differential equations can accurately account for differences in time intervals between measurements, and more parsimoniously specify complex dynamics. As such they offer powerful and flexible approaches to understand ongoing psychological processes and interventions, and allow for measurements to be taken a variable number of times, and at irregular intervals. However, limited developments have taken place regarding the use of continuous time models in a fully hierarchical context, in which all model parameters are allowed to vary over individuals. This has meant that questions regarding individual differences in parameters have had to rely on single-subject time series approaches, which require far more measurement occasions per individual. We present a hierarchical Bayesian approach to estimating continuous time dynamic models, allowing for individual variation in all model parameters. We also describe an extension to the ctsem package for R, which interfaces to the Stan software and allows simple specification and fitting of such models. To demonstrate the approach, we use a subsample from the German socioeconomic panel and relate overall life satisfaction and satisfaction with health.},
-  publisher = {American Psychological Association (APA)},
-}
-
-@Article{Dudgeon-2017,
-  author = {Paul Dudgeon},
-  date = {2017-03},
-  journaltitle = {Psychometrika},
-  title = {Some improvements in confidence intervals for standardized regression coefficients},
-  doi = {10.1007/s11336-017-9563-z},
-  number = {4},
-  pages = {928--951},
-  volume = {82},
-  keywords = {standardized regression coefficients, robust confidence intervals, non-normality},
-  abstract = {Yuan and Chan (Psychometrika 76:670-690, 2011. doi:10.1007/S11336-011-9224-6) derived consistent confidence intervals for standardized regression coefficients under fixed and random score assumptions. Jones and Waller (Psychometrika 80:365-378, 2015. doi:10.1007/S11336-013-9380-Y) extended these developments to circumstances where data are non-normal by examining confidence intervals based on Browne's (Br J Math Stat Psychol 37:62-83, 1984. doi:10.1111/j.2044-8317.1984.tb00789.x) asymptotic distribution-free (ADF) theory. Seven different heteroscedastic-consistent (HC) estimators were investigated in the current study as potentially better solutions for constructing confidence intervals on standardized regression coefficients under non-normality. Normal theory, ADF, and HC estimators were evaluated in a Monte Carlo simulation. Findings confirmed the superiority of the HC3 (MacKinnon and White, J Econ 35:305-325, 1985. doi:10.1016/0304-4076(85)90158-7) and HC5 (Cribari-Neto and Da Silva, Adv Stat Anal 95:129-146, 2011. doi:10.1007/s10182-010-0141-2) interval estimators over Jones and Waller's ADF estimator under all conditions investigated, as well as over the normal theory method. The HC5 estimator was more robust in a restricted set of conditions over the HC3 estimator. Some possible extensions of HC estimators to other effect size measures are considered for future developments.},
-  publisher = {Springer Science and Business Media {LLC}},
-}
-
-@Article{Eddelbuettel-Balamuta-2017,
-  author = {Dirk Eddelbuettel and James Joseph Balamuta},
-  date = {2017-08},
-  journaltitle = {PeerJ Preprints},
-  title = {Extending {R} with {C++}: A brief introduction to {Rcpp}},
-  doi = {10.7287/peerj.preprints.3188v1},
-  number = {3},
-  volume = {3188v1},
-  abstract = {R has always provided an application programming interface (API) for extensions. Based on the C language, it uses a number of macros and other low-level constructs to exchange data structures between the R process and any dynamically-loaded component modules authors added to it. With the introduction of the Rcpp package, and its later refinements, this process has become considerably easier yet also more robust. By now, Rcpp has become the most popular extension mechanism for R. This article introduces Rcpp, and illustrates with several examples how the Rcpp Attributes mechanism in particular eases the transition of objects between R and C++ code.},
-  publisher = {{PeerJ}},
-  annotation = {r, r-packages},
-}
-
-@Article{Eddelbuettel-Francois-2011,
-  author = {Dirk Eddelbuettel and Romain Fran{\c c}ois},
-  date = {2011},
-  journaltitle = {Journal of Statistical Software},
-  title = {{Rcpp}: Seamless {R} and {C++} integration},
-  doi = {10.18637/jss.v040.i08},
-  number = {8},
-  volume = {40},
-  abstract = {The Rcpp package simplifies integrating C++ code with R. It provides a consistent C++ class hierarchy that maps various types of R objects (vectors, matrices, functions, environments, ...) to dedicated C++ classes. Object interchange between R and C++ is managed by simple, flexible and extensible concepts which include broad support for C++ Standard Template Library idioms. C++ code can both be compiled, linked and loaded on the fly, or added via packages. Flexible error and exception code handling is provided. Rcpp substantially lowers the barrier for programmers wanting to combine C++ code with R.},
-  publisher = {Foundation for Open Access Statistic},
-  annotation = {r, r-packages},
-}
-
-@Article{Eddelbuettel-Sanderson-2014,
-  author = {Dirk Eddelbuettel and Conrad Sanderson},
-  date = {2014-03},
-  journaltitle = {Computational Statistics \& Data Analysis},
-  title = {{RcppArmadillo}: Accelerating {R} with high-performance {C++} linear algebra},
-  doi = {10.1016/j.csda.2013.02.005},
-  pages = {1054--1063},
-  volume = {71},
-  abstract = {The R statistical environment and language has demonstrated particular strengths for interactive development of statistical algorithms, as well as data modelling and visualisation. Its current implementation has an interpreter at its core which may result in a performance penalty in comparison to directly executing user algorithms in the native machine code of the host CPU. In contrast, the C++ language has no built-in visualisation capabilities, handling of linear algebra or even basic statistical algorithms; however, user programs are converted to high-performance machine code, ahead of execution. A new method avoids possible speed penalties in R by using the Rcpp extension package in conjunction with the Armadillo C++ matrix library. In addition to the inherent performance advantages of compiled code, Armadillo provides an easy-to-use template-based meta-programming framework, allowing the automatic pooling of several linear algebra operations into one, which in turn can lead to further speedups. With the aid of Rcpp and Armadillo, conversion of linear algebra centred algorithms from R to C++ becomes straightforward. The algorithms retain the overall structure as well as readability, all while maintaining a bidirectional link with the host R environment. Empirical timing comparisons of R and C++ implementations of a Kalman filtering algorithm indicate a speedup of several orders of magnitude.},
-  publisher = {Elsevier {BV}},
-  annotation = {r, r-packages},
-}
-
-@Article{Efron-2012,
-  author = {Bradley Efron},
-  date = {2012-12},
-  journaltitle = {The Annals of Applied Statistics},
-  title = {Bayesian inference and the parametric bootstrap},
-  doi = {10.1214/12-aoas571},
-  number = {4},
-  volume = {6},
-  abstract = {The parametric bootstrap can be used for the efficient computation of Bayes posterior distributions. Importance sampling formulas take on an easy form relating to the deviance in exponential families and are particularly simple starting from Jeffreys invariant prior. Because of the i.i.d. nature of bootstrap sampling, familiar formulas describe the computational accuracy of the Bayes estimates. Besides computational methods, the theory provides a connection between Bayesian and frequentist analysis. Efficient algorithms for the frequentist accuracy of Bayesian inferences are developed and demonstrated in a model selection example.},
-  publisher = {Institute of Mathematical Statistics},
-  keywords = {deviance, exponential families, generalized linear models, Jeffreys prior},
-}
-
-@Article{Enders-Fairchild-MacKinnon-2013,
-  author = {Craig K. Enders and Amanda J. Fairchild and David P. MacKinnon},
-  date = {2013-05},
-  journaltitle = {Multivariate Behavioral Research},
-  title = {A {Bayesian} approach for estimating mediation effects with missing data},
-  doi = {10.1080/00273171.2013.784862},
-  issn = {1532-7906},
-  number = {3},
-  pages = {340--369},
-  volume = {48},
-  abstract = {Methodologists have developed mediation analysis techniques for a broad range of substantive applications, yet methods for estimating mediating mechanisms with missing data have been understudied. This study outlined a general Bayesian missing data handling approach that can accommodate mediation analyses with any number of manifest variables. Computer simulation studies showed that the Bayesian approach produced frequentist coverage rates and power estimates that were comparable to those of maximum likelihood with the bias-corrected bootstrap. We share a SAS macro that implements Bayesian estimation and use two data analysis examples to demonstrate its use.},
-  publisher = {Informa UK Limited},
-}
-
-@Article{Epskamp-Borsboom-Fried-2017,
-  author = {Sacha Epskamp and Denny Borsboom and Eiko I. Fried},
-  date = {2017-03},
-  journaltitle = {Behavior Research Methods},
-  title = {Estimating psychological networks and their accuracy: A tutorial paper},
-  doi = {10.3758/s13428-017-0862-1},
-  issn = {1554-3528},
-  number = {1},
-  pages = {195--212},
-  volume = {50},
-  abstract = {The usage of psychological networks that conceptualize behavior as a complex interplay of psychological and other components has gained increasing popularity in various research fields. While prior publications have tackled the topics of estimating and interpreting such networks, little work has been conducted to check how accurate (i.e., prone to sampling variation) networks are estimated, and how stable (i.e., interpretation remains similar with less observations) inferences from the network structure (such as centrality indices) are. In this tutorial paper, we aim to introduce the reader to this field and tackle the problem of accuracy under sampling variation. We first introduce the current state-of-the-art of network estimation. Second, we provide a rationale why researchers should investigate the accuracy of psychological networks. Third, we describe how bootstrap routines can be used to (A) assess the accuracy of estimated network connections, (B) investigate the stability of centrality indices, and (C) test whether network connections and centrality estimates for different variables differ from each other. We introduce two novel statistical methods: for (B) the correlation stability coefficient, and for (C) the bootstrapped difference test for edge-weights and centrality indices. We conducted and present simulation studies to assess the performance of both methods. Finally, we developed the free R-package bootnet that allows for estimating psychological networks in a generalized framework in addition to the proposed bootstrap methods. We showcase bootnet in a tutorial, accompanied by R syntax, in which we analyze a dataset of 359 women with posttraumatic stress disorder available online.},
-  keywords = {network psychometrics, psychological networks, replicability, bootstrap, tutorial},
-  publisher = {Springer Science and Business Media LLC},
-}
-
-@Article{Epskamp-Lourens-Mottus-etal-2018,
-  author = {Sacha Epskamp and Lourens J. Waldorp and Ren{\a'e} M~ottus and Denny Borsboom},
-  date = {2018-04},
-  journaltitle = {Multivariate Behavioral Research},
-  title = {The {Gaussian} graphical model in cross-sectional and time-series data},
-  doi = {10.1080/00273171.2018.1454823},
-  number = {4},
-  pages = {453--480},
-  volume = {53},
-  abstract = {We discuss the Gaussian graphical model (GGM; an undirected network of partial correlation coefficients) and detail its utility as an exploratory data analysis tool. The GGM shows which variables predict one-another, allows for sparse modeling of covariance structures, and may highlight potential causal relationships between observed variables. We describe the utility in three kinds of psychological data sets: data sets in which consecutive cases are assumed independent (e.g., cross-sectional data), temporally ordered data sets (e.g., n = 1 time series), and a mixture of the 2 (e.g., n > 1 time series). In time-series analysis, the GGM can be used to model the residual structure of a vector-autoregression analysis (VAR), also termed graphical VAR. Two network models can then be obtained: a temporal network and a contemporaneous network. When analyzing data from multiple subjects, a GGM can also be formed on the covariance structure of stationary means-the between-subjects network. We discuss the interpretation of these models and propose estimation methods to obtain these networks, which we implement in the R packages graphicalVAR and mlVAR. The methods are showcased in two empirical examples, and simulation studies on these methods are included in the supplementary materials.},
-  publisher = {Informa {UK} Limited},
-  keywords = {time-series analysis, multilevel modeling, multivariate analysis, exploratory-data analysis, network modeling},
-}
-
-@InCollection{Fairchild-MacKinnon-2014,
-  author = {Amanda J. Fairchild and David P. MacKinnon},
-  booktitle = {Defining Prevention Science},
-  date = {2014},
-  title = {Using mediation and moderation analyses to enhance prevention research},
-  doi = {10.1007/978-1-4899-7424-2_23},
-  pages = {537--555},
-  abstract = {Integrating mediating and moderating variables into prevention research can refine interventions and guide program evaluation by demonstrating how and for whom programs work, as well as lending insight into the construct validity of an intervention. In this way, program development and evaluation strategies that incorporate mediation and moderation analyses contribute to our ability to affect behavioral change. This chapter aims to illustrate how mediation and moderation analyses enhance and inform prevention and intervention work. To that end we define and differentiate the models, discuss their application to prevention programming and research, and provide information on their estimation for individuals seeking to implement these analyses.},
-  publisher = {Springer {US}},
-  keywords = {mediation, moderation, prevention research, program evaluation, mechanisms of change, contextual effects},
-  annotation = {mediation-prevention, mediation-moderation},
-}
-
-@Article{Fritz-Taylor-MacKinnon-2012,
-  author = {Matthew S. Fritz and Aaron B. Taylor and David P. MacKinnon},
-  date = {2012-02},
-  journaltitle = {Multivariate Behavioral Research},
-  title = {Explanation of two anomalous results in statistical mediation analysis},
-  doi = {10.1080/00273171.2012.640596},
-  number = {1},
-  pages = {61--87},
-  volume = {47},
-  abstract = {Previous studies of different methods of testing mediation models have consistently found two anomalous results. The first result is elevated Type I error rates for the bias-corrected and accelerated bias-corrected bootstrap tests not found in nonresampling tests or in resampling tests that did not include a bias correction. This is of special concern as the bias-corrected bootstrap is often recommended and used due to its higher statistical power compared with other tests. The second result is statistical power reaching an asymptote far below 1.0 and in some conditions even declining slightly as the size of the relationship between X and M, a, increased. Two computer simulations were conducted to examine these findings in greater detail. Results from the first simulation found that the increased Type I error rates for the bias-corrected and accelerated bias-corrected bootstrap are a function of an interaction between the size of the individual paths making up the mediated effect and the sample size, such that elevated Type I error rates occur when the sample size is small and the effect size of the nonzero path is medium or larger. Results from the second simulation found that stagnation and decreases in statistical power as a function of the effect size of the a path occurred primarily when the path between M and Y, b, was small. Two empirical mediation examples are provided using data from a steroid prevention and health promotion program aimed at high school football players (Athletes Training and Learning to Avoid Steroids; Goldberg et al., 1996), one to illustrate a possible Type I error for the bias-corrected bootstrap test and a second to illustrate a loss in power related to the size of a. Implications of these findings are discussed.},
-  publisher = {Informa {UK} Limited},
-  annotation = {mediation, mediation-bootstrap},
-}
-
-@Article{Gates-Molenaar-Hillary-etal-2010,
-  author = {Kathleen M. Gates and Peter C.M. Molenaar and Frank G. Hillary and Nilam Ram and Michael J. Rovine},
-  date = {2010-04},
-  journaltitle = {{NeuroImage}},
-  title = {Automatic search for {fMRI} connectivity mapping: An alternative to {Granger} causality testing using formal equivalences among {SEM} path modeling, {VAR}, and unified {SEM}},
-  doi = {10.1016/j.neuroimage.2009.12.117},
-  number = {3},
-  pages = {1118--1125},
-  volume = {50},
-  abstract = {Modeling the relationships among brain regions of interest (ROIs) carries unique potential to explicate how the brain orchestrates information processing. However, hurdles arise when using functional MRI data. Variation in ROI activity contains sequential dependencies and shared influences on synchronized activation. Consequently, both lagged and contemporaneous relationships must be considered for unbiased statistical parameter estimation. Identifying these relationships using a data-driven approach could guide theory-building regarding integrated processing. The present paper demonstrates how the unified SEM attends to both lagged and contemporaneous influences on ROI activity. Additionally, this paper offers an approach akin to Granger causality testing, Lagrange multiplier testing, for statistically identifying directional influence among ROIs and employs this approach using an automatic search procedure to arrive at the optimal model. Rationale for this equivalence is offered by explicating the formal relationships among path modeling, vector autoregression, and unified SEM. When applied to simulated data, biases in estimates which do not consider both lagged and contemporaneous paths become apparent. Finally, the use of unified SEM with the automatic search procedure is applied to an empirical data example.},
-  publisher = {Elsevier {BV}},
-}
-
-@Article{Gu-Preacher-Ferrer-2014,
-  author = {Fei Gu and Kristopher J. Preacher and Emilio Ferrer},
-  date = {2014-04},
-  journaltitle = {Journal of Educational and Behavioral Statistics},
-  title = {A state space modeling approach to mediation analysis},
-  doi = {10.3102/1076998614524823},
-  issn = {1935-1054},
-  number = {2},
-  pages = {117--143},
-  volume = {39},
-  abstract = {Mediation is a causal process that evolves over time. Thus, a study of mediation requires data collected throughout the process. However, most applications of mediation analysis use cross-sectional rather than longitudinal data. Another implicit assumption commonly made in longitudinal designs for mediation analysis is that the same mediation process universally applies to all members of the population under investigation. This assumption ignores the important issue of ergodicity before aggregating the data across subjects. We first argue that there exists a discrepancy between the concept of mediation and the research designs that are typically used to investigate it. Second, based on the concept of ergodicity, we argue that a given mediation process probably is not equally valid for all individuals in a population. Therefore, the purpose of this article is to propose a two-faceted solution. The first facet of the solution is that we advocate a single-subject time-series design that aligns data collection with researchers’ conceptual understanding of mediation. The second facet is to introduce a flexible statistical method—the state space model—as an ideal technique to analyze single-subject time series data in mediation studies. We provide an overview of the state space method and illustrative applications using both simulated and real time series data. Finally, we discuss additional issues related to research design and modeling.},
-  publisher = {American Educational Research Association (AERA)},
-}
-
-@Article{HaanRietdijk-Voelkle-Keijsers-Hamaker-2017,
-  author = {Silvia {de Haan-Rietdijk} and Manuel C. Voelkle and Loes Keijsers and Ellen L. Hamaker},
-  date = {2017-10},
-  journaltitle = {Frontiers in Psychology},
-  title = {Discrete- vs. continuous-time modeling of unequally spaced experience sampling method data},
-  doi = {10.3389/fpsyg.2017.01849},
-  issn = {1664-1078},
-  volume = {8},
-  abstract = {The Experience Sampling Method is a common approach in psychological research for collecting intensive longitudinal data with high ecological validity. One characteristic of ESM data is that it is often unequally spaced, because the measurement intervals within a day are deliberately varied, and measurement continues over several days. This poses a problem for discrete-time (DT) modeling approaches, which are based on the assumption that all measurements are equally spaced. Nevertheless, DT approaches such as (vector) autoregressive modeling are often used to analyze ESM data, for instance in the context of affective dynamics research. There are equivalent continuous-time (CT) models, but they are more difficult to implement. In this paper we take a pragmatic approach and evaluate the practical relevance of the violated model assumption in DT AR(1) and VAR(1) models, for the N = 1 case. We use simulated data under an ESM measurement design to investigate the bias in the parameters of interest under four different model implementations, ranging from the true CT model that accounts for all the exact measurement times, to the crudest possible DT model implementation, where even the nighttime is treated as a regular interval. An analysis of empirical affect data illustrates how the differences between DT and CT modeling can play out in practice. We find that the size and the direction of the bias in DT (V)AR models for unequally spaced ESM data depend quite strongly on the true parameter in addition to data characteristics. Our recommendation is to use CT modeling whenever possible, especially now that new software implementations have become available.},
-  publisher = {Frontiers Media SA},
-}
-
-@Article{Hamaker-Ceulemans-Grasman-etal-2015,
-  author = {E. L. Hamaker and E. Ceulemans and R. P. P. P. Grasman and F. Tuerlinckx},
-  date = {2015-07},
-  journaltitle = {Emotion Review},
-  title = {Modeling affect dynamics: State of the art and future challenges},
-  doi = {10.1177/1754073915590619},
-  issn = {1754-0747},
-  number = {4},
-  pages = {316--322},
-  volume = {7},
-  abstract = {The current article aims to provide an up-to-date synopsis of available techniques to study affect dynamics using intensive longitudinal data (ILD). We do so by introducing the following eight dichotomies that help elucidate what kind of data one has, what process aspects are of interest, and what research questions are being considered: (1) single- versus multiple-person data; (2) univariate versus multivariate models; (3) stationary versus nonstationary models; (4) linear versus nonlinear models; (5) discrete time versus continuous time models; (6) discrete versus continuous variables; (7) time versus frequency domain; and (8) modeling the process versus computing descriptives. In addition, we discuss what we believe to be the most urging future challenges regarding the modeling of affect dynamics.},
-  publisher = {SAGE Publications},
-}
-
-@Article{Hamaker-Kuiper-Grasman-2015,
-  author = {Ellen L. Hamaker and Rebecca M. Kuiper and Raoul P. P. P. Grasman},
-  date = {2015},
-  journaltitle = {Psychological Methods},
-  title = {A critique of the cross-lagged panel model},
-  doi = {10.1037/a0038889},
-  number = {1},
-  pages = {102--116},
-  volume = {20},
-  abstract = {The cross-lagged panel model (CLPM) is believed by many to overcome the problems associated with the use of cross-lagged correlations as a way to study causal influences in longitudinal panel data. The current article, however, shows that if stability of constructs is to some extent of a trait-like, timeinvariant nature, the autoregressive relationships of the CLPM fail to adequately account for this. As a result, the lagged parameters that are obtained with the CLPM do not represent the actual within-person relationships over time, and this may lead to erroneous conclusions regarding the presence, predominance, and sign of causal influences. In this article we present an alternative model that separates the within-person process from stable between-person differences through the inclusion of random intercepts, and we discuss how this model is related to existing structural equation models that include cross-lagged relationships. We derive the analytical relationship between the cross-lagged parameters from the CLPM and the alternative model, and use simulations to demonstrate the spurious results that may arise when using the CLPM to analyze data that include stable, trait-like individual differences. We also present a modeling strategy to avoid this pitfall and illustrate this using an empirical data set. The implications for both existing and future cross-lagged panel research are discussed.},
-  keywords = {cross-lagged panel, reciprocal effects, longitudinal model, trait-state models, within-person dynamics},
-  publisher = {American Psychological Association ({APA})},
-}
-
-@Article{Hayes-Scharkow-2013,
-  author = {Andrew F. Hayes and Michael Scharkow},
-  date = {2013-08},
-  journaltitle = {Psychological Science},
-  title = {The relative trustworthiness of inferential tests of the indirect effect in statistical mediation analysis},
-  doi = {10.1177/0956797613480187},
-  number = {10},
-  pages = {1918--1927},
-  volume = {24},
-  abstract = {A content analysis of 2 years of Psychological Science articles reveals inconsistencies in how researchers make inferences about indirect effects when conducting a statistical mediation analysis. In this study, we examined the frequency with which popularly used tests disagree, whether the method an investigator uses makes a difference in the conclusion he or she will reach, and whether there is a most trustworthy test that can be recommended to balance practical and performance considerations. We found that tests agree much more frequently than they disagree, but disagreements are more common when an indirect effect exists than when it does not. We recommend the bias-corrected bootstrap confidence interval as the most trustworthy test if power is of utmost concern, although it can be slightly liberal in some circumstances. Investigators concerned about Type I errors should choose the Monte Carlo confidence interval or the distribution-of-the-product approach, which rarely disagree. The percentile bootstrap confidence interval is a good compromise test.},
-  publisher = {{SAGE} Publications},
-  annotation = {mediation, mediation-bootstrap, mediation-montecarlo, mediation-prodclin},
-}
-
-@Article{Hecht-Voelkle-2019,
-  author = {Martin Hecht and Manuel C. Voelkle},
-  date = {2019-11},
-  journaltitle = {International Journal of Behavioral Development},
-  title = {Continuous-time modeling in prevention research: An illustration},
-  doi = {10.1177/0165025419885026},
-  issn = {1464-0651},
-  number = {1},
-  pages = {19--27},
-  volume = {45},
-  abstract = {The analysis of cross-lagged relationships is a popular approach in prevention research to explore the dynamics between constructs over time. However, a limitation of commonly used cross-lagged models is the requirement of equally spaced measurement occasions that prevents the usage of flexible longitudinal designs and complicates cross-study comparisons. Continuous-time modeling overcomes these limitations. In this article, we illustrate the use of continuous-time models using Bayesian and frequentist approaches to model estimation. As an empirical example, we study the dynamic interplay of physical activity and health, a classic research topic in prevention science, using data from the “Midlife in the United States (MIDUS 2): Daily Stress Project, 2004–2009.” To help prevention researchers in adopting the approach, we provide annotated R scripts and a simulated data set based on the results from analyzing the MIDUS 2 data.},
-  publisher = {SAGE Publications},
-}
-
-@Article{Hesterberg-2015,
-  author = {Tim C. Hesterberg},
-  date = {2015-10},
-  journaltitle = {The American Statistician},
-  title = {What teachers should know about the bootstrap: Resampling in the undergraduate statistics curriculum},
-  doi = {10.1080/00031305.2015.1089789},
-  number = {4},
-  pages = {371--386},
-  volume = {69},
-  abstract = {Bootstrapping has enormous potential in statistics education and practice, but there are subtle issues and ways to go wrong. For example, the common combination of nonparametric bootstrapping and bootstrap percentile confidence intervals is less accurate than using $t$-intervals for small samples, though more accurate for larger samples. My goals in this article are to provide a deeper understanding of bootstrap methods--how they work, when they work or not, and which methods work better-and to highlight pedagogical issues. Supplementary materials for this article are available online.},
-  publisher = {Informa {UK} Limited},
-  keywords = {bias, confidence intervals, sampling distribution, standard error, statistical concepts, teaching},
-}
-
-@Article{Hingson-Zha-Smyth-2017,
-  author = {Ralph Hingson and Wenxing Zha and Daniel Smyth},
-  date = {2017-07},
-  journaltitle = {Journal of Studies on Alcohol and Drugs},
-  title = {Magnitude and trends in heavy episodic drinking, alcohol-impaired driving, and alcohol-related mortality and overdose hospitalizations among emerging adults of college ages 18–24 in the {United States}, 1998–2014},
-  doi = {10.15288/jsad.2017.78.540},
-  issn = {1938-4114},
-  number = {4},
-  pages = {540--548},
-  volume = {78},
-  abstract = {Objective: This article estimates percentages of U.S. emerging adults ages 18-24 engaging in past-month heavy episodic drinking and past-year alcohol-impaired driving, and numbers experiencing alcohol-related unintentional injury deaths and overdose hospitalizations between 1998 and 2014. Method: We analyzed national injury mortality data from coroner, census, and college enrollment statistics, the National Survey on Drug Use and Health, and the Nationwide Inpatient Sample. Results: From 1999 to 2005, percentages of emerging adults ages 18-24 reporting past-month heavy episodic drinking rose from 37.1\% to 43.1\% and then declined to 38.8\% in 2014. Alcohol-impaired driving rose from 24\% to 25.5\% and then declined to 16.0\%. Alcohol-related unintentional injury deaths increased from 4,807 in 1998 to 5,531 in 2005 and then declined to 4,105 in 2014, a reduction of 29\% per 100,000 since 1998. Alcohol-related traffic deaths increased from 3,783 in 1998 to 4,114 in 2005 and then declined to 2,614 in 2014, down 43\% per 100,000 since 1998. Alcohol-related overdose deaths increased from 207 in 1998 to 891 in 2014, a 254\% increase per 100,000. Other types of nontraffic unintentional injury deaths declined. Alcohol-overdose hospitalizations rose 26\% per 100,000 from 1998 to 2014, especially from increases in alcohol/other drug overdoses, up 61\% (alcohol/opioid overdoses up 197\%). Conclusions: Among emerging adults, a trend toward increased alcohol-related unintentional injury deaths, heavy episodic drinking, and alcohol-impaired driving between 1998 and 2005 was reversed by 2014. Persistent high levels of heavy episodic drinking and related problems among emerging adults underscore a need to expand individually oriented interventions, college/community collaborative programs, and evidence-supported policies to reduce their drinking and related problems.},
-  publisher = {Alcohol Research Documentation, Inc.},
-}
-
-@Article{Hunter-2017,
-  author = {Michael D. Hunter},
-  date = {2017-10},
-  journaltitle = {Structural Equation Modeling: A Multidisciplinary Journal},
-  title = {State space modeling in an open source, modular, structural equation modeling environment},
-  doi = {10.1080/10705511.2017.1369354},
-  number = {2},
-  pages = {307--324},
-  volume = {25},
-  abstract = {State space models (SSMs) are introduced in the context of structural equation modeling (SEM). In particular, the OpenMx implementation of SSMs using the Kalman filter and prediction error decomposition is discussed. In reflection of modularity, the implementation uses the same full information maximum likelihood missing data procedures for SSMs and SEMs. Similarly, generic OpenMx features such as likelihood ratio tests, profile likelihood confidence intervals, Hessian-based standard errors, definition variables, and the matrix algebra interface are all supported. Example scripts for specification of autoregressive models, multiple lag models (VAR(p)), multiple lag moving average models (VARMA(p, q)), multiple subject models, and latent growth models are provided. Additionally, latent variable calculation based on the Kalman filter and raw data generation based on a model are all included. Finally, future work for extending SSMs to allow for random effects and for presenting them in diagrams is discussed.},
-  publisher = {Informa {UK} Limited},
-  keywords = {state space model, software, Kalman filter, OpenMx},
-  annotation = {ild, ild-software, sem, sem-software, ssm, ssm-software},
-}
-
-@Article{Jensen-Turk-2014,
-  author = {Mark P. Jensen and Dennis C. Turk},
-  date = {2014},
-  journaltitle = {American Psychologist},
-  title = {Contributions of psychology to the understanding and treatment of people with chronic pain: Why it matters to {ALL} psychologists},
-  doi = {10.1037/a0035641},
-  issn = {0003-066X},
-  number = {2},
-  pages = {105--118},
-  volume = {69},
-  abstract = {Chronic pain is a prevalent problem with significant costs to individuals, significant others, and society. In this article, which introduces the American Psychologist special issue on chronic pain, we provide an overview of the seminal contributions made by psychologists to our current understanding of this important problem. We also describe the primary treatments that have been developed based on psychological principles and models of pain, many of which have demonstrated efficacy for reducing pain and its impact on psychological and physical functioning. The article ends with an enumeration of directions for future research and clinical practice. We believe that the chronicle of psychology’s role in improving our understanding and treatment of pain provides a model for how psychologists can have a significant influence on many fields, and that the models and approaches developed for understanding and treating pain may be of use to psychologists working in other areas. Thus, we think that chronic pain is an important area of study that offers insights about translational research for ALL psychologists.},
-  publisher = {American Psychological Association (APA)},
-}
-
-@Article{Jones-Waller-2013a,
-  author = {Jeff A. Jones and Niels G. Waller},
-  date = {2013},
-  journaltitle = {Psychological Methods},
-  title = {Computing confidence intervals for standardized regression coefficients.},
-  doi = {10.1037/a0033269},
-  number = {4},
-  pages = {435--453},
-  volume = {18},
-  abstract = {With fixed predictors, the standard method (Cohen, Cohen, West, \& Aiken, 2003, p. 86; Harris, 2001, p. 80; Hays, 1994, p. 709) for computing confidence intervals (CIs) for standardized regression coefficients fails to account for the sampling variability of the criterion standard deviation. With random predictors, this method also fails to account for the sampling variability of the predictor standard deviations. Nevertheless, under some conditions the standard method will produce CIs with accurate coverage rates. To delineate these conditions, we used a Monte Carlo simulation to compute empirical CI coverage rates in samples drawn from 36 populations with a wide range of data characteristics. We also computed the empirical CI coverage rates for 4 alternative methods that have been discussed in the literature: noncentrality interval estimation, the delta method, the percentile bootstrap, and the bias-corrected and accelerated bootstrap. Our results showed that for many data-parameter configurations--for example, sample size, predictor correlations, coefficient of determination ($R^2$), orientation of $\beta$ with respect to the eigenvectors of the predictor correlation matrix, $R_X$--the standard method produced coverage rates that were close to their expected values. However, when population $R^2$ was large 	and when $\beta$ approached the last eigenvector of $R_X$, then the standard method coverage rates were frequently below the nominal rate (sometimes by a considerable amount). In these conditions, the delta method and the 2 bootstrap procedures were consistently accurate. Results using noncentrality interval estimation were inconsistent. In light of these findings, we recommend that researchers use the delta method to evaluate the sampling variability of standardized regression coefficients.},
-  publisher = {American Psychological Association ({APA})},
-}
-
-@Article{Jones-Waller-2015,
-  author = {Jeff A. Jones and Niels G. Waller},
-  date = {2015-06},
-  journaltitle = {Psychometrika},
-  title = {The normal-theory and asymptotic distribution-free ({ADF}) covariance matrix of standardized regression coefficients: Theoretical extensions and finite sample behavior},
-  doi = {10.1007/s11336-013-9380-y},
-  number = {2},
-  pages = {365--378},
-  volume = {80},
-  abstract = {Yuan and Chan (Psychometrika, 76, 670-690, 2011) recently showed how to compute the covariance matrix of standardized regression coefficients from covariances. In this paper, we describe a method for computing this covariance matrix from correlations. Next, we describe an asymptotic distribution-free (ADF; Browne in British Journal of Mathematical and Statistical Psychology, 37, 62-83, 1984) method for computing the covariance matrix of standardized regression coefficients. We show that the ADF method works well with nonnormal data in moderate-to-large samples using both simulated and real-data examples. R code (R Development Core Team, 2012) is available from the authors or through the Psychometrika online repository for supplementary materials.},
-  publisher = {Springer Science and Business Media {LLC}},
-  annotation = {standardized-regression, standardized-regression-hc},
-}
-
-@Article{KisbuSakarya-MacKinnon-Miocevic-2014,
-  author = {Yasemin Kisbu-Sakarya and David P. MacKinnon and Milica Mio{\v c}evi{\a'c}},
-  date = {2014-05},
-  journaltitle = {Multivariate Behavioral Research},
-  title = {The distribution of the product explains normal theory mediation confidence interval estimation},
-  doi = {10.1080/00273171.2014.903162},
-  number = {3},
-  pages = {261--268},
-  volume = {49},
-  abstract = {The distribution of the product has several useful applications. One of these applications is its use to form confidence intervals for the indirect effect as the product of 2 regression coefficients. The purpose of this article is to investigate how the moments of the distribution of the product explain normal theory mediation confidence interval coverage and imbalance. Values of the critical ratio for each random variable are used to demonstrate how the moments of the distribution of the product change across values of the critical ratio observed in research studies. Results of the simulation study showed that as skewness in absolute value increases, coverage decreases. And as skewness in absolute value and kurtosis increases, imbalance increases. The difference between testing the significance of the indirect effect using the normal theory versus the asymmetric distribution of the product is further illustrated with a real data example. This article is the first study to show the direct link between the distribution of the product and indirect effect confidence intervals and clarifies the results of previous simulation studies by showing why normal theory confidence intervals for indirect effects are often less accurate than those obtained from the asymmetric distribution of the product or from resampling methods.},
-  publisher = {Informa {UK} Limited},
-  annotation = {mediation, mediation-prodclin},
-}
-
-@Article{Koopman-Howe-Hollenbeck-etal-2015,
-  author = {Joel Koopman and Michael Howe and John R. Hollenbeck and Hock-Peng Sin},
-  date = {2015},
-  journaltitle = {Journal of Applied Psychology},
-  title = {Small sample mediation testing: Misplaced confidence in bootstrapped confidence intervals},
-  doi = {10.1037/a0036635},
-  number = {1},
-  pages = {194--202},
-  volume = {100},
-  abstract = {Bootstrapping is an analytical tool commonly used in psychology to test the statistical significance of the indirect effect in mediation models. Bootstrapping proponents have particularly advocated for its use for samples of 20-80 cases. This advocacy has been heeded, especially in the Journal of Applied Psychology, as researchers are increasingly utilizing bootstrapping to test mediation with samples in this range. We discuss reasons to be concerned with this escalation, and in a simulation study focused specifically on this range of sample sizes, we demonstrate not only that bootstrapping has insufficient statistical power to provide a rigorous hypothesis test in most conditions but also that bootstrapping has a tendency to exhibit an inflated Type I error rate. We then extend our simulations to investigate an alternative empirical resampling method as well as a Bayesian approach and demonstrate that they exhibit comparable statistical power to bootstrapping in small samples without the associated inflated Type I error. Implications for researchers testing mediation hypotheses in small samples are presented. For researchers wishing to use these methods in their own research, we have provided R syntax in the online supplemental materials.},
-  publisher = {American Psychological Association ({APA})},
-  keywords = {mediation, bootstrapping, permutation, Bayes},
-  annotation = {mediation, mediation-bootstrap, mediation-bayesian},
-}
-
-@Article{Kossakowski-Groot-Haslbeck-2017,
-  author = {Jolanda J. Kossakowski and Peter C. Groot and Jonas M. B. Haslbeck and Denny Borsboom and Marieke Wichers},
-  date = {2017-02},
-  journaltitle = {Journal of Open Psychology Data},
-  title = {Data from '{Critical} slowing down as a personalized early warning signal for depression'},
-  doi = {10.5334/jopd.29},
-  issn = {2050-9863},
-  volume = {5},
-  abstract = {We present a dataset of a single (N = 1) participant diagnosed with major depressive disorder, who completed 1478 measurements over the course of 239 consecutive days in 2012 and 2013. The experiment included a double-blind phase in which the dosage of anti-depressant medication was gradually reduced. The entire study looked at momentary affective states in daily life before, during, and after the double-blind phase. The items, which were asked ten times a day, cover topics like mood, physical condition and social contacts. Also, depressive symptoms were measured on a weekly basis using the Symptom Checklist Revised (SCL-90-R). The data are suitable for various time-series analyses and studies in complex dynamical systems.},
-  publisher = {Ubiquity Press, Ltd.},
-}
-
-@Article{Kuiper-Oisin-2018,
-  author = {Rebecca M. Kuiper and Oisin Ryan},
-  date = {2018-03},
-  journaltitle = {Structural Equation Modeling: A Multidisciplinary Journal},
-  title = {Drawing conclusions from cross-lagged relationships: Re-considering the role of the time-interval},
-  doi = {10.1080/10705511.2018.1431046},
-  number = {5},
-  pages = {809--823},
-  volume = {25},
-  abstract = {The cross-lagged panel model (CLPM), a discrete-time (DT) SEM model, is frequently used to gather evidence for (reciprocal) Granger-causal relationships when lacking an experimental design. However, it is well known that CLPMs can lead to different parameter estimates depending on the time-interval of observation. Consequently, this can lead to researchers drawing conflicting conclusions regarding the sign and/or dominance of relationships. Multiple authors have suggested the use of continuous-time models to address this issue. In this article, we demonstrate the exact circumstances under which such conflicting conclusions occur. Specifically, we show that such conflicts are only avoided in general in the case of bivariate, stable, nonoscillating, first-order systems, when comparing models with uniform time-intervals between observations. In addition, we provide a range of tools, proofs, and guidelines regarding the comparison of discrete- and continuous-time parameter estimates.},
-  publisher = {Informa {UK} Limited},
-}
-
-@Article{Kuppens-2015,
-  author = {Peter Kuppens},
-  date = {2015-07},
-  journaltitle = {Emotion Review},
-  title = {It's about time: A special section on affect dynamics},
-  doi = {10.1177/1754073915590947},
-  issn = {1754-0747},
-  number = {4},
-  pages = {297--300},
-  volume = {7},
-  abstract = {The study of affect dynamics aims to discover the patterns and regularities with which emotions and affective experiences and components change across time, the underlying mechanisms involved, and their potential relevance for healthy psychological functioning. The intention of this special section is to serve as a mini handbook covering the contemporary state of research into affect dynamics. Contributions address theoretical viewpoints on the origins and functions of emotional change, methodological and modeling approaches, biological and social perspectives on affect dynamics, and the downstream consequences for well-being and psychopathology.},
-  publisher = {SAGE Publications},
-}
-
-@Article{Kurtzer-Sochat-Bauer-2017,
-  author = {Gregory M. Kurtzer and Vanessa Sochat and Michael W. Bauer},
-  date = {2017-05},
-  journaltitle = {{PLOS} {ONE}},
-  title = {{Singularity}: Scientific containers for mobility of compute},
-  doi = {10.1371/journal.pone.0177459},
-  editor = {Attila Gursoy},
-  number = {5},
-  pages = {e0177459},
-  volume = {12},
-  publisher = {Public Library of Science ({PLoS})},
-  annotation = {container, container-singularity},
-}
-
-@Article{Kwan-Chan-2011,
-  author = {Joyce L. Y. Kwan and Wai Chan},
-  date = {2011-04},
-  journaltitle = {Behavior Research Methods},
-  title = {Comparing standardized coefficients in structural equation modeling: A model reparameterization approach},
-  doi = {10.3758/s13428-011-0088-6},
-  number = {3},
-  pages = {730--745},
-  volume = {43},
-  abstract = {We propose a two-stage method for comparing standardized coefficients in structural equation modeling (SEM). At stage 1, we transform the original model of interest into the standardized model by model reparameterization, so that the model parameters appearing in the standardized model are equivalent to the standardized parameters of the original model. At stage 2, we impose appropriate linear equality constraints on the standardized model and use a likelihood ratio test to make statistical inferences about the equality of standardized coefficients. Unlike other existing methods for comparing standardized coefficients, the proposed method does not require specific modeling features (e.g., specification of nonlinear constraints), which are available only in certain SEM software programs. Moreover, this method allows researchers to compare two or more standardized coefficients simultaneously in a standard and convenient way. Three real examples are given to illustrate the proposed method, using EQS, a popular SEM software program. Results show that the proposed method performs satisfactorily for testing the equality of standardized coefficients.},
-  publisher = {Springer Science and Business Media {LLC}},
-}
-
-@Article{Kwan-Chan-2014,
-  author = {Joyce L. Y. Kwan and Wai Chan},
-  date = {2014-04},
-  journaltitle = {Structural Equation Modeling: A Multidisciplinary Journal},
-  title = {Comparing squared multiple correlation coefficients using structural equation modeling},
-  doi = {10.1080/10705511.2014.882673},
-  number = {2},
-  pages = {225--238},
-  volume = {21},
-  abstract = {In social science research, a common topic in multiple regression analysis is to compare the squared multiple correlation coefficients in different populations. Existing methods based on asymptotic theories (Olkin \& Finn, 1995) and bootstrapping (Chan, 2009) are available but these can only handle a 2-group comparison. Another method based on structural equation modeling (SEM) has been proposed recently. However, this method has three disadvantages. First, it requires the user to explicitly specify the sample R2 as a function in terms of the basic SEM model parameters, which is sometimes troublesome and error prone. Second, it requires the specification of nonlinear constraints, which is not available in some popular SEM software programs. Third, it is for a 2-group comparison primarily. In this article, a 2-stage SEM method is proposed as an alternative. Unlike all other existing methods, the proposed method is simple to use, and it does not require any specific programming features such as the specification of nonlinear constraints. More important, the method allows a simultaneous comparison of 3 or more groups. A real example is given to illustrate the proposed method using EQS, a popular SEM software program.},
-  keywords = {squared multiple correlation coefficients, structural equation modeling, model reparameterization, multi-sample analysis},
-  publisher = {Informa {UK} Limited},
-}
-
-@Article{Leffingwell-Cooney-Murphy-etal-2012,
-  author = {Thad R. Leffingwell and Nathaniel J. Cooney and James G. Murphy and Susan Luczak and Gary Rosen and Donald M. Dougherty and Nancy P. Barnett},
-  date = {2012-07},
-  journaltitle = {Alcoholism: Clinical and Experimental Research},
-  title = {Continuous Objective Monitoring of Alcohol Use: Twenty‐First Century Measurement Using Transdermal Sensors},
-  doi = {10.1111/j.1530-0277.2012.01869.x},
-  issn = {1530-0277},
-  number = {1},
-  pages = {16--22},
-  volume = {37},
-  abstract = {Transdermal alcohol sensors continuously collect reliable and valid data on alcohol consumption in vivo over the course of hours to weeks. Transdermal alcohol readings are highly correlated with breath alcohol measurements, but transdermal alcohol levels lag behind breath alcohol levels by one or more hours owing to the longer time required for alcohol to be expelled through perspiration. By providing objective information about alcohol consumption, transdermal alcohol sensors can validate self-report and provide important information not previously available. In this article, we describe the development and evaluation of currently available transdermal alcohol sensors, present the strengths and limitations of the technology, and give examples of recent research using the sensors.},
-  publisher = {Wiley},
-}
-
-@Article{Maxwell-Cole-Mitchell-2011,
-  author = {Scott E. Maxwell and David A. Cole and Melissa A. Mitchell},
-  date = {2011-09},
-  journaltitle = {Multivariate Behavioral Research},
-  title = {Bias in cross-sectional analyses of longitudinal mediation: Partial and complete mediation under an autoregressive model},
-  doi = {10.1080/00273171.2011.606716},
-  number = {5},
-  pages = {816--841},
-  volume = {46},
-  abstract = {Maxwell and Cole (2007) showed that cross-sectional approaches to mediation typically generate substantially biased estimates of longitudinal parameters in the special case of complete mediation. However, their results did not apply to the more typical case of partial mediation. We extend their previous work by showing that substantial bias can also occur with partial mediation. In particular, cross-sectional analyses can imply the existence of a substantial indirect effect even when the true longitudinal indirect effect is zero. Thus, a variable that is found to be a strong mediator in a cross-sectional analysis may not be a mediator at all in a longitudinal analysis. In addition, we show that very different combinations of longitudinal parameter values can lead to essentially identical cross-sectional correlations, raising serious questions about the interpretability of cross-sectional mediation data. More generally, researchers are encouraged to consider a wide variety of possible mediation models beyond simple cross-sectional models, including but not restricted to autoregressive models of change.},
-  publisher = {Informa {UK} Limited},
-}
-
-@Article{Merkel-2014,
-  author = {Dirk Merkel},
-  date = {2014},
-  journaltitle = {Linux Journal},
-  title = {{Docker}: Lightweight {Linux} containers for consistent development and deployment},
-  number = {239},
-  pages = {2},
-  volume = {2014},
-  url = {https://www.linuxjournal.com/content/docker-lightweight-linux-containers-consistent-development-and-deployment},
-  annotation = {container, container-docker},
-}
-
-@Article{Miocevic-Gonzalez-Valente-etal-2017,
-  author = {Milica Miocevic and Oscar Gonzalez and Matthew J. Valente and David P. MacKinnon},
-  date = {2017-07},
-  journaltitle = {Structural Equation Modeling: A Multidisciplinary Journal},
-  title = {A tutorial in {Bayesian} potential outcomes mediation analysis},
-  doi = {10.1080/10705511.2017.1342541},
-  issn = {1532-8007},
-  number = {1},
-  pages = {121--136},
-  volume = {25},
-  abstract = {Statistical mediation analysis is used to investigate intermediate variables in the relation between independent and dependent variables. Causal interpretation of mediation analyses is challenging because randomization of subjects to levels of the independent variable does not rule out the possibility of unmeasured confounders of the mediator to outcome relation. Furthermore, commonly used frequentist methods for mediation analysis compute the probability of the data given the null hypothesis, which is not the probability of a hypothesis given the data as in Bayesian analysis. Under certain assumptions, applying the potential outcomes framework to mediation analysis allows for the computation of causal effects, and statistical mediation in the Bayesian framework gives indirect effects probabilistic interpretations. This tutorial combines causal inference and Bayesian methods for mediation analysis so the indirect and direct effects have both causal and probabilistic interpretations. Steps in Bayesian causal mediation analysis are shown in the application to an empirical example.},
-  publisher = {Informa UK Limited},
-}
-
-@Article{Molenaar-2017,
-  author = {Peter C. M. Molenaar},
-  date = {2017-02},
-  journaltitle = {Multivariate Behavioral Research},
-  title = {Equivalent Dynamic Models},
-  doi = {10.1080/00273171.2016.1277681},
-  issn = {1532-7906},
-  number = {2},
-  pages = {242--258},
-  volume = {52},
-  abstract = {Equivalences of two classes of dynamic models for weakly stationary multivariate time series are discussed: dynamic factor models and autoregressive models. It is shown that exploratory dynamic factor models can be rotated, yielding an infinite set of equivalent solutions for any observed series. It also is shown that dynamic factor models with lagged factor loadings are not equivalent to the currently popular state-space models, and that restriction of attention to the latter type of models may yield invalid results. The known equivalent vector autoregressive model types, standard and structural, are given a new interpretation in which they are conceived of as the extremes of an innovating type of hybrid vector autoregressive models. It is shown that consideration of hybrid models solves many problems, in particular with Granger causality testing.},
-  publisher = {Informa UK Limited},
-  keywords = {Dynamic factor analysis, Granger causality, hybrid models, lagged factorloadings, matrix polynomials, state-space models, vector autoregressive models},
-}
-
-@Article{Moneta-Chlas-Entner-etal-2011,
-  author = {Alessio Moneta and Nadine Chla{\ss} and Doris Entner and Patrik Hoyer},
-  date = {2011-01},
-  journaltitle = {Journal of Machine Learning Research - Proceedings Track},
-  title = {Causal search in structural vector autoregressive models},
-  pages = {95--114},
-  volume = {12},
-  abstract = {This paper reviews a class of methods to perform causal inference in the framework of a structural vector autoregressive model. We consider three different settings. In the first setting the underlying system is linear with normal disturbances and the structural model is identified by exploiting the information incorporated in the partial correlations of the estimated residuals. Zero partial correlations are used as input of a search algorithm formalized via graphical causal models. In the second, semi-parametric, setting the underlying system is linear with non-Gaussian disturbances. In this case the structural vector autoregressive model is identified through a search procedure based on independent component analysis. Finally, we explore the possibility of causal search in a nonparametric setting by studying the performance of conditional independence tests based on kernel density estimations.},
-  keywords = {causal inference, econometric time series, SVAR, graphical causal models, independent component analysis, conditional independence tests},
-}
-
-@Article{Neale-Hunter-Pritikin-etal-2015,
-  author = {Michael C. Neale and Michael D. Hunter and Joshua N. Pritikin and Mahsa Zahery and Timothy R. Brick and Robert M. Kirkpatrick and Ryne Estabrook and Timothy C. Bates and Hermine H. Maes and Steven M. Boker},
-  date = {2015-01},
-  journaltitle = {Psychometrika},
-  title = {{OpenMx} 2.0: Extended structural equation and statistical modeling},
-  doi = {10.1007/s11336-014-9435-8},
-  number = {2},
-  pages = {535--549},
-  volume = {81},
-  abstract = {The new software package OpenMx 2.0 for structural equation and other statistical modeling is introduced and its features are described. OpenMx is evolving in a modular direction and now allows a mix-and-match computational approach that separates model expectations from fit functions and optimizers. Major backend architectural improvements include a move to swappable open-source optimizers such as the newly written CSOLNP. Entire new methodologies such as item factor analysis and state space modeling have been implemented. New model expectation functions including support for the expression of models in LISREL syntax and a simplified multigroup expectation function are available.  Ease-of-use improvements include helper functions to standardize model parameters and compute their Jacobian-based standard errors, access to model components through standard R \$ mechanisms, and improved tab completion from within the R Graphical User Interface.},
-  publisher = {Springer Science and Business Media {LLC}},
-  annotation = {r, r-packages, sem, sem-software},
-}
-
-@Article{OLaughlin-Martin-Ferrer-2018,
-  author = {Kristine D. O'Laughlin and Monica J. Martin and Emilio Ferrer},
-  date = {2018-04},
-  journaltitle = {Multivariate Behavioral Research},
-  title = {Cross-sectional analysis of longitudinal mediation processes},
-  doi = {10.1080/00273171.2018.1454822},
-  issn = {1532-7906},
-  number = {3},
-  pages = {375--402},
-  volume = {53},
-  abstract = {Statistical mediation analysis can help to identify and explain the mechanisms behind psychological processes. Examining a set of variables for mediation effects is a ubiquitous process in the social sciences literature; however, despite evidence suggesting that cross-sectional data can misrepresent the mediation of longitudinal processes, cross-sectional analyses continue to be used in this manner. Alternative longitudinal mediation models, including those rooted in a structural equation modeling framework (cross-lagged panel, latent growth curve, and latent difference score models) are currently available and may provide a better representation of mediation processes for longitudinal data. The purpose of this paper is twofold: first, we provide a comparison of cross-sectional and longitudinal mediation models; second, we advocate using models to evaluate mediation effects that capture the temporal sequence of the process under study. Two separate empirical examples are presented to illustrate differences in the conclusions drawn from cross-sectional and longitudinal mediation analyses. Findings from these examples yielded substantial differences in interpretations between the cross-sectional and longitudinal mediation models considered here. Based on these observations, researchers should use caution when attempting to use cross-sectional data in place of longitudinal data for mediation analyses.},
-  publisher = {Informa UK Limited},
-}
-
-@Article{Oravecz-Tuerlinckx-Vandekerckhove-2011,
-  author = {Zita Oravecz and Francis Tuerlinckx and Joachim Vandekerckhove},
-  date = {2011},
-  journaltitle = {Psychological Methods},
-  title = {A hierarchical latent stochastic differential equation model for affective dynamics},
-  doi = {10.1037/a0024375},
-  number = {4},
-  pages = {468--490},
-  volume = {16},
-  abstract = {In this article a continuous-time stochastic model (the Ornstein-Uhlenbeck process) is presented to model the perpetually altering states of the core affect, which is a 2-dimensional concept underlying all our affective experiences. The process model that we propose can account for the temporal changes in core affect on the latent level. The key parameters of the model are the average position (also called home base), the variances and covariances of the process, and the regulatory mechanisms that keep the process in the vicinity of the average position. To account for individual differences, the model is extended hierarchically. A particularly novel contribution is that in principle all parameters of the stochastic process (not only the mean but also its variance and the regulatory parameters) are allowed to differ between individuals. In this way, the aim is to understand the affective dynamics of single individuals and at the same time investigate how these individuals differ from one another. The final model is a continuous-time state-space model for repeated measurement data taken at possibly irregular time points. Both time-invariant and time-varying covariates can be included to investigate sources of individual differences. As an illustration, the model is applied to a diary study measuring core affect repeatedly for several individuals (thereby generating intensive longitudinal data).},
-  publisher = {American Psychological Association ({APA})},
-}
-
-@Article{ORourke-MacKinnon-2018,
-  author = {Holly P. O'Rourke and David P. MacKinnon},
-  date = {2018-03},
-  journaltitle = {Journal of Studies on Alcohol and Drugs},
-  title = {Reasons for testing mediation in the absence of an intervention effect: A research imperative in prevention and intervention research},
-  doi = {10.15288/jsad.2018.79.171},
-  number = {2},
-  pages = {171--181},
-  volume = {79},
-  abstract = {Objective: Mediation models are used in prevention and intervention research to assess the mechanisms by which interventions influence outcomes. However, researchers may not investigate mediators in the absence of intervention effects on the primary outcome variable. There is emerging evidence that in some situations, tests of mediated effects can be statistically significant when the total intervention effect is not statistically significant. In addition, there are important conceptual and practical reasons for investigating mediation when the intervention effect is nonsignificant. Method: This article discusses the conditions under which mediation may be present when an intervention effect does not have a statistically significant effect and why mediation should always be considered important. Results: Mediation may be present in the following conditions: when the total and mediated effects are equal in value, when the mediated and direct effects have opposing signs, when mediated effects are equal across single and multiple-mediator models, and when specific mediated effects have opposing signs. Mediation should be conducted in every study because it provides the opportunity to test known and replicable mediators, to use mediators as an intervention manipulation check, and to address action and conceptual theory in intervention models. Conclusions: Mediators are central to intervention programs, and mediators should be investigated for the valuable information they provide about the success or failure of interventions.},
-  publisher = {Alcohol Research Documentation, Inc.},
-  annotation = {mediation-prevention},
-}
-
-@InCollection{ORourke-MacKinnon-2019,
-  author = {Holly P. O'Rourke and David P. MacKinnon},
-  booktitle = {Advances in Prevention Science},
-  date = {2019},
-  title = {The importance of mediation analysis in substance-use prevention},
-  doi = {10.1007/978-3-030-00627-3_15},
-  pages = {233--246},
-  abstract = {This chapter describes the theoretical and practical importance of mediation analysis in substance-use prevention research. The most important reason for including mediators in a research study is to examine the mechanisms by which prevention programs influence substance-use outcomes. Understanding the mechanisms by which prevention programs achieve effects helps reduce the cost and increases effectiveness of prevention programs. This chapter first describes the theoretical foundations of the mediation model in prevention, and reasons for using mediation analysis in substance-use prevention. Next, we provide an overview of statistical mediation analysis for single and multiple mediator models. We summarize mediation analyses in substance-use prevention and discuss future directions for application of mediation analysis in substance-use research.},
-  publisher = {Springer International Publishing},
-  annotation = {mediation-prevention},
-}
-
-@Article{Ou-Hunter-Chow-2019,
-  author = {Lu Ou and Michael D. Hunter and Sy-Miin Chow},
-  date = {2019},
-  journaltitle = {The R Journal},
-  title = {What's for {dynr}: A package for linear and nonlinear dynamic modeling in {R}},
-  doi = {10.32614/rj-2019-012},
-  number = {1},
-  pages = {91},
-  volume = {11},
-  abstract = {Intensive longitudinal data in the behavioral sciences are often noisy, multivariate in nature, and may involve multiple units undergoing regime switches by showing discontinuities interspersed with continuous dynamics. Despite increasing interest in using linear and nonlinear differential/difference equation models with regime switches, there has been a scarcity of software packages that are fast and freely accessible. We have created an R package called dynr that can handle a broad class of linear and nonlinear discreteand continuous-time models, with regime-switching properties and linear Gaussian measurement functions, in C, while maintaining simple and easy-to learn model specification functions in R. We present the mathematical and computational bases used by the dynr R package, and present two illustrative examples to demonstrate the unique features of dynr.},
-  publisher = {The R Foundation},
-  annotation = {ild, ild-software, r, r-packages},
-}
-
-@Article{Piasecki-2019,
-  author = {Thomas M. Piasecki},
-  date = {2019-03},
-  journaltitle = {Alcoholism: Clinical and Experimental Research},
-  title = {Assessment of alcohol use in the natural environment},
-  doi = {10.1111/acer.13975},
-  issn = {1530-0277},
-  number = {4},
-  pages = {564--577},
-  volume = {43},
-  abstract = {The current article critically reviews 3 methodological options for assessing drinking episodes in the natural environment. Ecological momentary assessment (EMA) typically involves using mobile devices to collect self-report data from participants in daily life. This technique is now widely used in alcohol research, but investigators have implemented diverse assessment strategies. This article focuses on “high-resolution” EMA protocols that oversample experiences and behaviors within individual drinking episodes. A number of approaches have been used to accomplish this, including using signaled follow-ups tied to drinking initiation, asking participants to log entries before and after individual drinks or drinking episodes, and delivering frequent signaled assessments during periods of the day when alcohol use is most common. Transdermal alcohol sensors (TAS) are devices that are worn continuously and are capable of detecting alcohol eliminated through the skin. These methods are appealing because they do not rely upon drinkers’ self-report. Studies using TAS have been appearing with greater frequency over the past several years. New methods are making the use of TAS more tractable by permitting back-translation of transdermal alcohol concentration data to more familiar estimates of blood alcohol concentration or breath alcohol concentration. However, the current generation of devices can have problems with missing data and tend to be relatively insensitive to low-level drinking. An emerging area of research investigates the possibility of using mobile device data and machine learning to passively detect the user's drinking, with promising early findings. EMA, TAS, and sensor-based approaches are all valid, and tend to produce convergent information when used in conjunction with one another. Each has a unique profile of advantages, disadvantages, and threats to validity. Therefore, the nature of the underlying research question must dictate the method(s) investigators select.},
-  publisher = {Wiley},
-}
-
-@Article{Preacher-Kelley-2011,
-  author = {Kristopher J. Preacher and Ken Kelley},
-  date = {2011},
-  journaltitle = {Psychological Methods},
-  title = {Effect size measures for mediation models: Quantitative strategies for communicating indirect effects},
-  doi = {10.1037/a0022658},
-  issn = {1082-989X},
-  number = {2},
-  pages = {93--115},
-  volume = {16},
-  abstract = {The statistical analysis of mediation effects has become an indispensable tool for helping scientists investigate processes thought to be causal. Yet, in spite of many recent advances in the estimation and testing of mediation effects, little attention has been given to methods for communicating effect size and the practical importance of those effect sizes. Our goals in this article are to (a) outline some general desiderata for effect size measures, (b) describe current methods of expressing effect size and practical importance for mediation, (c) use the desiderata to evaluate these methods, and (d) develop new methods to communicate effect size in the context of mediation analysis. The first new effect size index we describe is a residual-based index that quantifies the amount of variance explained in both the mediator and the outcome. The second new effect size index quantifies the indirect effect as the proportion of the maximum possible indirect effect that could have been obtained, given the scales of the variables involved. We supplement our discussion by offering easy-to-use R tools for the numerical and visual communication of effect size for mediation effects.},
-  publisher = {American Psychological Association (APA)},
-  annotation = {mediation-effectsize},
-}
-
-@Article{Preacher-Selig-2012,
-  author = {Kristopher J. Preacher and James P. Selig},
-  date = {2012-04},
-  journaltitle = {Communication Methods and Measures},
-  title = {Advantages of {Monte Carlo} confidence intervals for indirect effects},
-  doi = {10.1080/19312458.2012.679848},
-  number = {2},
-  pages = {77--98},
-  volume = {6},
-  abstract = {Monte Carlo simulation is a useful but underutilized method of constructing confidence intervals for indirect effects in mediation analysis. The Monte Carlo confidence interval method has several distinct advantages over rival methods. Its performance is comparable to other widely accepted methods of interval construction, it can be used when only summary data are available, it can be used in situations where rival methods (e.g., bootstrapping and distribution of the product methods) are difficult or impossible, and it is not as computer-intensive as some other methods. In this study we discuss Monte Carlo confidence intervals for indirect effects, report the results of a simulation study comparing their performance to that of competing methods, demonstrate the method in applied examples, and discuss several software options for implementation in applied settings.},
-  publisher = {Informa {UK} Limited},
-  annotation = {mediation, mediation-montecarlo, mediation-bootstrap},
-}
-
-@Article{Reichardt-2011,
-  author = {Charles S. Reichardt},
-  date = {2011-09},
-  journaltitle = {Multivariate Behavioral Research},
-  title = {Commentary: Are three waves of data sufficient for assessing mediation?},
-  doi = {10.1080/00273171.2011.606740},
-  issn = {1532-7906},
-  number = {5},
-  pages = {842--851},
-  volume = {46},
-  abstract = {Maxwell, Cole, and Mitchell (2011) demonstrated that simple structural equation models, when used with cross-sectional data, generally produce biased estimates of meditated effects. I extend those results by showing how simple structural equation models can produce biased estimates of meditated effects when used even with longitudinal data. Even with longitudinal data, simple autoregressive structural equation models can imply the existence of indirect effects when only direct effects exist and the existence of direct effects when only indirect effects exist.},
-  publisher = {Informa UK Limited},
-}
-
-@Article{Rosseel-2012,
-  author = {Yves Rosseel},
-  date = {2012},
-  journaltitle = {Journal of Statistical Software},
-  title = {{lavaan}: An {R} package for structural equation modeling},
-  doi = {10.18637/jss.v048.i02},
-  number = {2},
-  volume = {48},
-  abstract = {Structural equation modeling (SEM) is a vast field and widely used by many applied researchers in the social and behavioral sciences. Over the years, many software packages for structural equation modeling have been developed, both free and commercial. However, perhaps the best state-of-the-art software packages in this field are still closed-source and/or commercial. The R package lavaan has been developed to provide applied researchers, teachers, and statisticians, a free, fully open-source, but commercial-quality package for latent variable modeling. This paper explains the aims behind the development of the package, gives an overview of its most important features, and provides some examples to illustrate how lavaan works in practice.},
-  publisher = {Foundation for Open Access Statistic},
-  annotation = {r, r-packages, sem, sem-software},
-}
-
-@Article{Sacks-Gonzales-Bouchery-etal-2015,
-  author = {Jeffrey J. Sacks and Katherine R. Gonzales and Ellen E. Bouchery and Laura E. Tomedi and Robert D. Brewer},
-  date = {2015-11},
-  journaltitle = {American Journal of Preventive Medicine},
-  title = {2010 national and state costs of excessive alcohol consumption},
-  doi = {10.1016/j.amepre.2015.05.031},
-  issn = {0749-3797},
-  number = {5},
-  pages = {e73--e79},
-  volume = {49},
-  abstract = {Introduction: Excessive alcohol use cost the U.S. $223.5 billion in 2006. Given economic shifts in the U.S. since 2006, more-current estimates are needed to help inform the planning of prevention strategies. Methods: From March 2012 to March 2014, the 26 cost components used to assess the cost of excessive drinking in 2006 were projected to 2010 based on incidence (e.g., change in number of alcohol-attributable deaths) and price (e.g., inflation rate in cost of medical care). The total cost, cost to government, and costs for binge drinking, underage drinking, and drinking while pregnant were estimated for the U.S. for 2010 and allocated to states. Results: Excessive drinking cost the U.S. $249.0 billion in 2010, or about $2.05 per drink. Government paid for $100.7 billion (40.4\%) of these costs. Binge drinking accounted for $191.1 billion (76.7\%) of costs; underage drinking $24.3 billion (9.7\%) of costs; and drinking while pregnant $5.5 billion (2.2\%) of costs. The median cost per state was $3.5 billion. Binge drinking was responsible for >70\% of these costs in all states, and >40\% of the binge drinking–related costs were paid by government. Conclusions: Excessive drinking cost the nation almost $250 billion in 2010. Two of every $5 of the total cost was paid by government, and three quarters of the costs were due to binge drinking. Several evidence-based strategies can help reduce excessive drinking and related costs, including increasing alcohol excise taxes, limiting alcohol outlet density, and commercial host liability.
-},
-  publisher = {Elsevier BV},
-}
-
-@Article{Schermerhorn-Chow-Cummings-2010,
-  author = {Alice C. Schermerhorn and Sy-Miin Chow and E. Mark Cummings},
-  date = {2010},
-  journaltitle = {Developmental Psychology},
-  title = {Developmental family processes and interparental conflict: Patterns of microlevel influences.},
-  doi = {10.1037/a0019662},
-  issn = {0012-1649},
-  number = {4},
-  pages = {869--885},
-  volume = {46},
-  abstract = {Although there are frequent calls for the study of effects of children on families and mutual influence processes within families, little empirical progress has been made. We address these questions at the level of microprocesses during marital conflict, including children's influence on marital conflict and parents' influence on each other. Participants were 111 cohabiting couples with a child (55 male, 56 female) age 8–16 years. Data were drawn from parents' diary reports of interparental conflict over 15 days and were analyzed with dynamic systems modeling tools. Child emotions and behavior during conflicts were associated with interparental positivity, negativity, and resolution at the end of the same conflicts. For example, children's agentic behavior was associated with more marital conflict resolution, whereas child negativity was linked with more marital negativity. Regarding parents' influence on each other, among the findings, husbands' and wives' influence on themselves from one conflict to the next was indicated, and total number of conflicts predicted greater influence of wives' positivity on husbands' positivity. Contributions of these findings to the understanding of developmental family processes are discussed, including implications for advanced understanding of interrelations between child and adult functioning and development.},
-  publisher = {American Psychological Association (APA)},
-}
-
-@Article{Schouten-Lugtig-Vink-2018,
-  author = {Rianne Margaretha Schouten and Peter Lugtig and Gerko Vink},
-  date = {2018-07},
-  journaltitle = {Journal of Statistical Computation and Simulation},
-  title = {Generating missing values for simulation purposes: A multivariate amputation procedure},
-  doi = {10.1080/00949655.2018.1491577},
-  number = {15},
-  pages = {2909--2930},
-  volume = {88},
-  abstract = {Missing data form a ubiquitous problem in scientific research, especially since most statistical analyses require complete data. To evaluate the performance of methods dealing with missing data, researchers perform simulation studies. An important aspect of these studies is the generation of missing values in a simulated, complete data set: the amputation procedure. We investigated the methodological validity and statistical nature of both the current amputation practice and a newly developed and implemented multivariate amputation procedure. We found that the current way of practice may not be appropriate for the generation of intuitive and reliable missing data problems. The multivariate amputation procedure, on the other hand, generates reliable amputations and allows for a proper regulation of missing data problems. The procedure has additional features to generate any missing data scenario precisely as intended. Hence, the multivariate amputation procedure is an efficient method to accurately evaluate missing data methodology.},
-  publisher = {Informa {UK} Limited},
-  keywords = {missing data, multiple imputation, multivariate amputation, evaluation},
-}
-
-@Article{Schultzberg-Muthen-2017,
-  author = {M{\r a}rten Schultzberg and Bengt Muth{\a'e}n},
-  date = {2017-12},
-  journaltitle = {Structural Equation Modeling: A Multidisciplinary Journal},
-  title = {Number of subjects and time points needed for multilevel time-series analysis: A simulation study of dynamic structural equation modeling},
-  doi = {10.1080/10705511.2017.1392862},
-  issn = {1532-8007},
-  number = {4},
-  pages = {495--515},
-  volume = {25},
-  abstract = {Dynamic structural equation modeling (DSEM) is a novel, intensive longitudinal data (ILD) analysis framework. DSEM models intraindividual changes over time on Level 1 and allows the parameters of these processes to vary across individuals on Level 2 using random effects. DSEM merges time series, structural equation, multilevel, and time-varying effects models. Despite the well-known properties of these analysis areas by themselves, it is unclear how their sample size requirements and recommendations transfer to the DSEM framework. This article presents the results of a simulation study that examines the estimation quality of univariate 2-level autoregressive models of order 1, AR(1), using Bayesian analysis in Mplus Version 8. Three features are varied in the simulations: complexity of the model, number of subjects, and number of time points per subject. Samples with many subjects and few time points are shown to perform substantially better than samples with few subjects and many time points.},
-  publisher = {Informa UK Limited},
-}
-
-@Article{Schuurman-Hamaker-2019,
-  author = {No{\a'e}mi K. Schuurman and Ellen L. Hamaker},
-  date = {2019-02},
-  journaltitle = {Psychological Methods},
-  title = {Measurement error and person-specific reliability in multilevel autoregressive modeling.},
-  doi = {10.1037/met0000188},
-  issn = {1082-989X},
-  number = {1},
-  pages = {70--91},
-  volume = {24},
-  abstract = {An increasing number of researchers in psychology are collecting intensive longitudinal data in order to study psychological processes on an intraindividual level. An increasingly popular way to analyze these data is autoregressive time series modeling; either by modeling the repeated measures for a single individual using classic n = 1 autoregressive models, or by using multilevel extensions of these models, with the dynamics for each individual modeled at Level 1 and interindividual differences in these dynamics modeled at Level 2. However, while it is widely accepted in psychology that psychological measurements usually contain a certain amount of measurement error, the issue of measurement error is largely neglected in applied psychological (autoregressive) time series modeling: The regular autoregressive model incorporates innovations, or “dynamic errors,” but not measurement error. In this article we discuss the concepts of reliability and measurement error in the context of dynamic (VAR(1)) models, and the consequences of disregarding measurement error variance in the data. For this purpose, we present a preliminary model that accounts for measurement error for constructs that are measured with a single indicator. We further discuss how this model could be used to investigate the between-person reliability of the measurements, as well as the (person-specific) within-person reliabilities and any individual differences in these reliabilities. We illustrate the consequences of assuming perfect reliability, the preliminary model, and reliabilities, using an empirical application in which we relate women’s general positive affect to their positive affect concerning their romantic relationship.},
-  publisher = {American Psychological Association (APA)},
-}
-
-@Article{Schuurman-Houtveen-Hamaker-2015,
-  author = {No{\a'e}mi K. Schuurman and Jan H. Houtveen and Ellen L. Hamaker},
-  date = {2015-07},
-  journaltitle = {Frontiers in Psychology},
-  title = {Incorporating measurement error in n = 1 psychological autoregressive modeling},
-  doi = {10.3389/fpsyg.2015.01038},
-  issn = {1664-1078},
-  volume = {6},
-  abstract = {Measurement error is omnipresent in psychological data. However, the vast majority of applications of autoregressive time series analyses in psychology do not take measurement error into account. Disregarding measurement error when it is present in the data results in a bias of the autoregressive parameters. We discuss two models that take measurement error into account: An autoregressive model with a white noise term (AR+WN), and an autoregressive moving average (ARMA) model. In a simulation study we compare the parameter recovery performance of these models, and compare this performance for both a Bayesian and frequentist approach. We find that overall, the AR+WN model performs better. Furthermore, we find that for realistic (i.e., small) sample sizes, psychological research would benefit from a Bayesian approach in fitting these models. Finally, we illustrate the effect of disregarding measurement error in an AR(1) model by means of an empirical application on mood data in women. We find that, depending on the person, approximately 30-50\% of the total variance was due to measurement error, and that disregarding this measurement error results in a substantial underestimation of the autoregressive parameters.},
-  publisher = {Frontiers Media SA},
-}
-
-@Article{Shrout-2011,
-  author = {Patrick E. Shrout},
-  date = {2011-09},
-  journaltitle = {Multivariate Behavioral Research},
-  title = {Commentary: Mediation analysis, causal process, and cross-sectional data},
-  doi = {10.1080/00273171.2011.606718},
-  number = {5},
-  pages = {852--860},
-  volume = {46},
-  abstract = {Maxwell, Cole, and Mitchell (2011) extended the work of Maxwell and Cole (2007), which raised important questions about whether mediation analyses based on cross-sectional data can shed light on longitudinal mediation process. The latest article considers longitudinal processes that can only be partially explained by an intervening variable, and Maxwell et al. showed that the same general conclusions are obtained, namely that analyses of cross-sectional data will not reveal the longitudinal mediation process. While applauding the advances of the target article, this comment encourages the detailed exploration of alternate causal models in psychology beyond the autoregressive model considered by Maxwell et al. When inferences based on cross-sectional analyses are compared to alternate models, different patterns of bias are likely to be observed. I illustrate how different models of the causal process can be derived using examples from research on psychopathology.},
-  publisher = {Informa {UK} Limited},
-}
-
-@Article{Singer-2012,
-  author = {Hermann Singer},
-  date = {2012-01},
-  journaltitle = {The Journal of Mathematical Sociology},
-  title = {{SEM} modeling with singular moment matrices part {II}: {ML}-estimation of sampled stochastic differential equations},
-  doi = {10.1080/0022250x.2010.532259},
-  issn = {1545-5874},
-  number = {1},
-  pages = {22--43},
-  volume = {36},
-  abstract = {Linear stochastic differential equations are expressed as an exact discrete model (EDM) and estimated with structural equation models (SEMs) and the Kalman filter (KF) algorithm. The oversampling approach is introduced in order to formulate the EDM on a time grid which is finer than the sampling intervals. This leads to a simple computation of the nonlinear parameter functionals of the EDM. For small discretization intervals, the functionals can be linearized, and standard software permitting only linear parameter restrictions can be used. However, in this case the SEM approach must handle large matrices leading to degraded performance and possible numerical problems. The methods are compared using coupled linear random oscillators with time-varying parameters and irregular sampling times.},
-  publisher = {Informa UK Limited},
-}
-
-@Article{Smith-Juarascio-2019,
-  author = {Kathryn E. Smith and Adrienne Juarascio},
-  date = {2019-06},
-  journaltitle = {Current Psychiatry Reports},
-  title = {From ecological momentary assessment ({EMA}) to ecological momentary intervention ({EMI}): Past and future directions for ambulatory assessment and interventions in eating disorders},
-  doi = {10.1007/s11920-019-1046-8},
-  number = {7},
-  volume = {21},
-  abstract = {Purpose of Review: Ambulatory assessment methods, including ecological momentary assessment (EMA), have often been used in eating disorders (EDs) to assess the type, frequency, and temporal sequencing of ED symptoms occurring in naturalistic environments. Relatedly, growing research in EDs has explored the utility of ecological momentary interventions (EMIs) to target ED symptoms. The aims of the present review were to (1) synthesize recent literature pertaining to ambulatory assessment/EMA and EMI in EDs, and (2) identify relevant limitations and future directions in these domains. Recent Findings: With respect to ambulatory assessment and EMA, there has been substantial growth in the expansion of constructs assessed with EMA, the exploration of state- vs. trait-level processes, integration of objective and passive assessment approaches, and consideration of methodological issues. The EMI literature in EDs also continues to grow, though most of the recent research focuses on mobile health (mHealth) technologies with relatively minimal EMI components that adapt to momentary contextual information. Summary: Despite these encouraging advances, there remain several promising areas of ambulatory assessment research and clinical applications in EDs going forward. These include integration of passive data collection, use of EMA in treatment evaluation and design, evaluation of dynamic system processes, inclusion of diverse samples, and development and evaluation of adaptive, tailored EMIs such as just-in-time adaptive interventions. While much remains to be learned in each of these domains, the continual growth in mobile technology has potential to facilitate and refine our understanding of the nature of ED psychopathology and ultimately improve intervention approaches.},
-  publisher = {Springer Science and Business Media {LLC}},
-  keywords = {eating disorders, ambulatory assessment, ecological momentary assessment, mHealth, ecological momentary intervention},
-}
-
-@Article{Taylor-MacKinnon-2012,
-  author = {Aaron B. Taylor and David P. MacKinnon},
-  date = {2012-02},
-  journaltitle = {Behavior Research Methods},
-  title = {Four applications of permutation methods to testing a single-mediator model},
-  doi = {10.3758/s13428-011-0181-x},
-  number = {3},
-  pages = {806--844},
-  volume = {44},
-  abstract = {Four applications of permutation tests to the single-mediator model are described and evaluated in this study. Permutation tests work by rearranging data in many possible ways in order to estimate the sampling distribution for the test statistic. The four applications to mediation evaluated here are the permutation test of ab, the permutation joint significance test, and the noniterative and iterative permutation confidence intervals for ab. A Monte Carlo simulation study was used to compare these four tests with the four best available tests for mediation found in previous research: the joint significance test, the distribution of the product test, and the percentile and bias-corrected bootstrap tests. We compared the different methods on Type I error, power, and confidence interval coverage. The noniterative permutation confidence interval for ab was the best performer among the new methods. It successfully controlled Type I error, had power nearly as good as the most powerful existing methods, and had better coverage than any existing method. The iterative permutation confidence interval for ab had lower power than do some existing methods, but it performed better than any other method in terms of coverage. The permutation confidence interval methods are recommended when estimating a confidence interval is a primary concern. SPSS and SAS macros that estimate these confidence intervals are provided.},
-  publisher = {Springer Science and Business Media {LLC}},
-  keywords = {mediation, bootstrapping, permutation, Bayes},
-  annotation = {mediation, mediation-bootstrap},
-}
-
-@Article{Tibshirani-2011,
-  author = {Robert Tibshirani},
-  date = {2011-04},
-  journaltitle = {Journal of the Royal Statistical Society Series B: Statistical Methodology},
-  title = {Regression shrinkage and selection via the lasso: A retrospective},
-  doi = {10.1111/j.1467-9868.2011.00771.x},
-  issn = {1467-9868},
-  number = {3},
-  pages = {273--282},
-  volume = {73},
-  abstract = {In the paper I give a brief review of the basic idea and some history and then discuss some developments since the original paper on regression shrinkage and selection via the lasso.},
-  publisher = {Oxford University Press (OUP)},
-}
-
-@Article{Tofighi-Kelley-2019,
-  author = {Davood Tofighi and Ken Kelley},
-  date = {2019-06},
-  journaltitle = {Multivariate Behavioral Research},
-  title = {Indirect effects in sequential mediation models: Evaluating methods for hypothesis testing and confidence interval formation},
-  doi = {10.1080/00273171.2019.1618545},
-  number = {2},
-  pages = {188--210},
-  volume = {55},
-  abstract = {Complex mediation models, such as a two-mediator sequential model, have become more prevalent in the literature. To test an indirect effect in a two-mediator model, we conducted a large-scale Monte Carlo simulation study of the Type I error, statistical power, and confidence interval coverage rates of 10 frequentist and Bayesian confidence/credible intervals (CIs) for normally and nonnormally distributed data. The simulation included never-studied methods and conditions (e.g., Bayesian CI with flat and weakly informative prior methods, two model-based bootstrap methods, and two nonnormality conditions) as well as understudied methods (e.g., profile-likelihood, Monte Carlo with maximum likelihood standard error [MC-ML] and robust standard error [MC-Robust]). The popular BC bootstrap showed inflated Type I error rates and CI under-coverage. We recommend different methods depending on the purpose of the analysis. For testing the null hypothesis of no mediation, we recommend MC-ML, profile-likelihood, and two Bayesian methods. To report a CI, if data has a multivariate normal distribution, we recommend MC-ML, profile-likelihood, and the two Bayesian methods; otherwise, for multivariate nonnormal data we recommend the percentile bootstrap. We argue that the best method for testing hypotheses is not necessarily the best method for CI construction, which is consistent with the findings we present.},
-  keywords = {indirect effect, confidence interval, sequential mediation, Bayesian credible interval},
-  publisher = {Informa {UK} Limited},
-  annotation = {mediation, mediation-bayesian, mediation-bootstrap, mediation-likelihood, mediation-montecarlo},
-}
-
-@Article{Tofighi-MacKinnon-2015,
-  author = {Davood Tofighi and David P. MacKinnon},
-  date = {2015-08},
-  journaltitle = {Structural Equation Modeling: A Multidisciplinary Journal},
-  title = {{Monte Carlo} confidence intervals for complex functions of indirect effects},
-  doi = {10.1080/10705511.2015.1057284},
-  number = {2},
-  pages = {194--205},
-  volume = {23},
-  abstract = {One challenge in mediation analysis is to generate a confidence interval (CI) with high coverage and power that maintains a nominal significance level for any well-defined function of indirect and direct effects in the general context of structural equation modeling (SEM). This study discusses a proposed Monte Carlo extension that finds the CIs for any well-defined function of the coefficients of SEM such as the product of $k$ coefficients and the ratio of the contrasts of indirect effects, using the Monte Carlo method. Finally, we conduct a small-scale simulation study to compare CIs produced by the Monte Carlo, nonparametric bootstrap, and asymptotic-delta methods. Based on our simulation study, we recommend researchers use the Monte Carlo method to test a complex function of indirect effects.},
-  keywords = {confidence interval, mediation analysis, Monte Carlo},
-  publisher = {Informa {UK} Limited},
-  annotation = {mediation, mediation-bootstrap, mediation-delta, mediation-montecarlo},
-}
-
-@Article{Usami-Murayama-Hamaker-2019,
-  author = {Satoshi Usami and Kou Murayama and Ellen L. Hamaker},
-  date = {2019-10},
-  journaltitle = {Psychological Methods},
-  title = {A unified framework of longitudinal models to examine reciprocal relations},
-  doi = {10.1037/met0000210},
-  issn = {1082-989X},
-  number = {5},
-  pages = {637--657},
-  volume = {24},
-  abstract = {Inferring reciprocal effects or causality between variables is a central aim of behavioral and psychological research. To address reciprocal effects, a variety of longitudinal models that include cross-lagged relations have been proposed in different contexts and disciplines. However, the relations between these cross-lagged models have not been systematically discussed in the literature. This lack of insight makes it difficult for researchers to select an appropriate model when analyzing longitudinal data, and some researchers do not even think about alternative cross-lagged models. The present research provides a unified framework that clarifies the conceptual and mathematical similarities and differences between these models. The unified framework shows that existing longitudinal models can be effectively classified based on whether the model posits unique factors and/or dynamic residuals and what types of common factors are used to model changes. The latter is essential to understand how cross-lagged parameters are interpreted. We also present an example using empirical data to demonstrate that there is great risk of drawing different conclusions depending on the cross-lagged models used.},
-  publisher = {American Psychological Association (APA)},
-}
-
-@Article{vanBuuren-GroothuisOudshoorn-2011,
-  author = {Stef {van Buuren} and Karin Groothuis-Oudshoorn},
-  date = {2011},
-  journaltitle = {Journal of Statistical Software},
-  title = {{mice}: Multivariate Imputation by Chained Equations in {R}},
-  doi = {10.18637/jss.v045.i03},
-  number = {3},
-  volume = {45},
-  abstract = {The R package mice imputes incomplete multivariate data by chained equations. The software mice 1.0 appeared in the year 2000 as an S-PLUS library, and in 2001 as an R package. mice 1.0 introduced predictor selection, passive imputation and automatic pooling. This article documents mice, which extends the functionality of mice 1.0 in several ways. In mice, the analysis of imputed data is made completely general, whereas the range of models under which pooling works is substantially extended. mice adds new functionality for imputing multilevel data, automatic predictor selection, data handling, post-processing imputed values, specialized pooling routines, model selection tools, and diagnostic graphs. Imputation of categorical data is improved in order to bypass problems caused by perfect prediction. Special attention is paid to transformations, sum scores, indices and interactions using passive imputation, and to the proper setup of the predictor matrix. mice can be downloaded from the Comprehensive R Archive Network. This article provides a hands-on, stepwise approach to solve applied incomplete data problems.},
-  publisher = {Foundation for Open Access Statistic},
-  keywords = {MICE, multiple imputation, chained equations, fully conditional specification, Gibbs sampler, predictor selection, passive imputation, R},
-}
-
-@Article{VerHoef-2012,
-  author = {Jay M. {Ver Hoef}},
-  date = {2012-05},
-  journaltitle = {The American Statistician},
-  title = {Who invented the delta method?},
-  doi = {10.1080/00031305.2012.687494},
-  issn = {1537-2731},
-  number = {2},
-  pages = {124--127},
-  volume = {66},
-  abstract = {Many statisticians and other scientists use what is commonly called the ``delta method.'' However, few people know who proposed it. The earliest article was found in an obscure journal, and the author is rarely cited for his contribution. This article briefly reviews three modern versions of the delta method and how they are used. Then, some history on the author and the journal of the first known article on the delta method is given. The original author’s specific contribution is reproduced, along with a discussion on possible reasons that it has been overlooked.},
-  publisher = {Informa UK Limited},
-}
-
-@Article{Voelkle-Oud-2012,
-  author = {Manuel C. Voelkle and Johan H. L. Oud},
-  date = {2012-03},
-  journaltitle = {British Journal of Mathematical and Statistical Psychology},
-  title = {Continuous time modelling with individually varying time intervals for oscillating and non-oscillating processes},
-  doi = {10.1111/j.2044-8317.2012.02043.x},
-  number = {1},
-  pages = {103--126},
-  volume = {66},
-  abstract = {When designing longitudinal studies, researchers often aim at equal intervals. In practice, however, this goal is hardly ever met, with different time intervals between assessment waves and different time intervals between individuals being more the rule than the exception. One of the reasons for the introduction of continuous time models by means of structural equation modelling has been to deal with irregularly spaced assessment waves (e.g., Oud \& Delsing, 2010). In the present paper we extend the approach to individually varying time intervals for oscillating and non-oscillating processes. In addition, we show not only that equal intervals are unnecessary but also that it can be advantageous to use unequal sampling intervals, in particular when the sampling rate is low. Two examples are provided to support our arguments. In the first example we compare a continuous time model of a bivariate coupled process with varying time intervals to a standard discrete time model to illustrate the importance of accounting for the exact time intervals. In the second example the effect of different sampling intervals on estimating a damped linear oscillator is investigated by means of a Monte Carlo simulation. We conclude that it is important to account for individually varying time intervals, and encourage researchers to conceive of longitudinal studies with different time intervals within and between individuals as an opportunity rather than a problem.},
-  publisher = {Wiley},
-}
-
-@Article{Voelkle-Oud-Davidov-etal-2012,
-  author = {Manuel C. Voelkle and Johan H. L. Oud and Eldad Davidov and Peter Schmidt},
-  date = {2012},
-  journaltitle = {Psychological Methods},
-  title = {An {SEM} approach to continuous time modeling of panel data: Relating authoritarianism and anomia},
-  doi = {10.1037/a0027543},
-  number = {2},
-  pages = {176--192},
-  volume = {17},
-  abstract = {Panel studies, in which the same subjects are repeatedly observed at multiple time points, are among the most popular longitudinal designs in psychology. Meanwhile, there exists a wide range of different methods to analyze such data, with autoregressive and cross-lagged models being 2 of the most well known representatives. Unfortunately, in these models time is only considered implicitly, making it difficult to account for unequally spaced measurement occasions or to compare parameter estimates across studies that are based on different time intervals. Stochastic differential equations offer a solution to this problem by relating the discrete time model to its underlying model in continuous time. It is the goal of the present article to introduce this approach to a broader psychological audience. A step-by-step review of the relationship between discrete and continuous time modeling is provided, and we demonstrate how continuous time parameters can be obtained via structural equation modeling. An empirical example on the relationship between authoritarianism and anomia is used to illustrate the approach.},
-  publisher = {American Psychological Association ({APA})},
-  keywords = {continuous time modeling, panel design, autoregressive cross-lagged model, longitudinal data analysis, structural equation modeling},
-}
-
-@Article{Vuorre-Bolger-2017,
-  author = {Matti Vuorre and Niall Bolger},
-  date = {2017-12},
-  journaltitle = {Behavior Research Methods},
-  title = {Within-subject mediation analysis for experimental data in cognitive psychology and neuroscience},
-  doi = {10.3758/s13428-017-0980-9},
-  issn = {1554-3528},
-  number = {5},
-  pages = {2125--2143},
-  volume = {50},
-  abstract = {Statistical mediation allows researchers to investigate potential causal effects of experimental manipulations through intervening variables. It is a powerful tool for assessing the presence and strength of postulated causal mechanisms. Although mediation is used in certain areas of psychology, it is rarely applied in cognitive psychology and neuroscience. One reason for the scarcity of applications is that these areas of psychology commonly employ within-subjects designs, and mediation models for within-subjects data are considerably more complicated than for between-subjects data. Here, we draw attention to the importance and ubiquity of mediational hypotheses in within-subjects designs, and we present a general and flexible software package for conducting Bayesian within-subjects mediation analyses in the R programming environment. We use experimental data from cognitive psychology to illustrate the benefits of within-subject mediation for theory testing and comparison.},
-  publisher = {Springer Science and Business Media LLC},
-}
-
-@Article{Wichers-Groot-Psychosystems-2016,
-  author = {Marieke Wichers and Peter C. Groot and {Psychosystems} and {ESM Group} and {EWS Group}},
-  date = {2016},
-  journaltitle = {Psychotherapy and Psychosomatics},
-  title = {Critical slowing down as a personalized early warning signal for depression},
-  doi = {10.1159/000441458},
-  issn = {1423-0348},
-  number = {2},
-  pages = {114--116},
-  volume = {85},
-  publisher = {S. Karger AG},
-}
-
-@Article{Wu-Jia-2013,
-  author = {Wei Wu and Fan Jia},
-  date = {2013-09},
-  journaltitle = {Multivariate Behavioral Research},
-  title = {A new procedure to test mediation with missing data through nonparametric bootstrapping and multiple imputation},
-  doi = {10.1080/00273171.2013.816235},
-  number = {5},
-  pages = {663--691},
-  volume = {48},
-  abstract = {This article proposes a new procedure to test mediation with the presence of missing data by combining nonparametric bootstrapping with multiple imputation (MI). This procedure performs MI first and then bootstrapping for each imputed data set. The proposed procedure is more computationally efficient than the procedure that performs bootstrapping first and then MI for each bootstrap sample. The validity of the procedure is evaluated using a simulation study under different sample size, missing data mechanism, missing data proportion, and shape of distribution conditions. The result suggests that the proposed procedure performs comparably to the procedure that combines bootstrapping with full information maximum likelihood under most conditions. However, caution needs to be taken when using this procedure to handle missing not-at-random or nonnormal data.},
-  publisher = {Informa {UK} Limited},
-  annotation = {mediation, mediation-missing, mediation-bootstrap},
-}
-
-@Article{Yuan-Chan-2011,
-  author = {Ke-Hai Yuan and Wai Chan},
-  date = {2011-08},
-  journaltitle = {Psychometrika},
-  title = {Biases and standard errors of standardized regression coefficients},
-  doi = {10.1007/s11336-011-9224-6},
-  number = {4},
-  pages = {670--690},
-  volume = {76},
-  abstract = {The paper obtains consistent standard errors (SE) and biases of order O(1/n) for the sample standardized regression coefficients with both random and given predictors. Analytical results indicate that the formulas for SEs given in popular text books are consistent only when the population value of the regression coefficient is zero. The sample standardized regression coefficients are also biased in general, although it should not be a concern in practice when the sample size is not too small. Monte Carlo results imply that, for both standardized and unstandardized sample regression coefficients, SE estimates based on asymptotics tend to under-predict the empirical ones at smaller sample sizes.},
-  publisher = {Springer Science and Business Media {LLC}},
-  keywords = {asymptotics, bias, consistency, Monte Carlo},
-  annotation = {standardized-regression, standardized-regression-delta, standardized-regression-normal, standardized-regression-adf},
-}
-
-@Article{Yzerbyt-Muller-Batailler-etal-2018,
-  author = {Vincent Yzerbyt and Dominique Muller and C{\a'e}dric Batailler and Charles M. Judd},
-  date = {2018-12},
-  journaltitle = {Journal of Personality and Social Psychology},
-  title = {New recommendations for testing indirect effects in mediational models: The need to report and test component paths},
-  doi = {10.1037/pspa0000132},
-  number = {6},
-  pages = {929--943},
-  volume = {115},
-  abstract = {In light of current concerns with replicability and reporting false-positive effects in psychology, we examine Type I errors and power associated with 2 distinct approaches for the assessment of mediation, namely the component approach (testing individual parameter estimates in the model) and the index approach (testing a single mediational index). We conduct simulations that examine both approaches and show that the most commonly used tests under the index approach risk inflated Type I errors compared with the joint-significance test inspired by the component approach. We argue that the tendency to report only a single mediational index is worrisome for this reason and also because it is often accompanied by a failure to critically examine the individual causal paths underlying the mediational model. We recommend testing individual components of the indirect effect to argue for the presence of an indirect effect and then using other recommended procedures to calculate the size of that effect. Beyond simple mediation, we show that our conclusions also apply in cases of within-participant mediation and moderated mediation. We also provide a new R-package that allows for an easy implementation of our recommendations.},
-  publisher = {American Psychological Association ({APA})},
-  keywords = {indirect effects, mediation, joint-significance, bootstrap},
-  annotation = {mediation, mediation-jointtest},
-}
-
-@Article{Zhang-Wang-2012,
-  author = {Zhiyong Zhang and Lijuan Wang},
-  date = {2012-12},
-  journaltitle = {Psychometrika},
-  title = {Methods for mediation analysis with missing data},
-  doi = {10.1007/s11336-012-9301-5},
-  number = {1},
-  pages = {154--184},
-  volume = {78},
-  abstract = {Despite wide applications of both mediation models and missing data techniques, formal discussion of mediation analysis with missing data is still rare. We introduce and compare four approaches to dealing with missing data in mediation analysis including listwise deletion, pairwise deletion, multiple imputation (MI), and a two-stage maximum likelihood (TS-ML) method. An R package bmem is developed to implement the four methods for mediation analysis with missing data in the structural equation modeling framework, and two real examples are used to illustrate the application of the four methods. The four methods are evaluated and compared under MCAR, MAR, and MNAR missing data mechanisms through simulation studies. Both MI and TS-ML perform well for MCAR and MAR data regardless of the inclusion of auxiliary variables and for AV-MNAR data with auxiliary variables. Although listwise deletion and pairwise deletion have low power and large parameter estimation bias in many studied conditions, they may provide useful information for exploring missing mechanisms.},
-  publisher = {Springer Science and Business Media {LLC}},
-  keywords = {mediation analysis, missing data, MI, TS-ML, bootstrap, auxiliary variables},
-  annotation = {mediation, mediation-missing, mediation-bootstrap},
-}
-
-@Article{Zyphur-Allison-Tay-etal-2019,
-  author = {Michael J. Zyphur and Paul D. Allison and Louis Tay and Manuel C. Voelkle and Kristopher J. Preacher and Zhen Zhang and Ellen L. Hamaker and Ali Shamsollahi and Dean C. Pierides and Peter Koval and Ed Diener},
-  date = {2019-05},
-  journaltitle = {Organizational Research Methods},
-  title = {From data to causes {I}: Building a general cross-lagged panel model ({GCLM})},
-  doi = {10.1177/1094428119847278},
-  issn = {1552-7425},
-  number = {4},
-  pages = {651--687},
-  volume = {23},
-  abstract = {This is the first paper in a series of two that synthesizes, compares, and extends methods for causal inference with longitudinal panel data in a structural equation modeling (SEM) framework. Starting with a cross-lagged approach, this paper builds a general cross-lagged panel model (GCLM) with parameters to account for stable factors while increasing the range of dynamic processes that can be modeled. We illustrate the GCLM by examining the relationship between national income and subjective well-being (SWB), showing how to examine hypotheses about short-run (via Granger-Sims tests) versus long-run effects (via impulse responses). When controlling for stable factors, we find no short-run or long-run effects among these variables, showing national SWB to be relatively stable, whereas income is less so. Our second paper addresses the differences between the GCLM and other methods. Online Supplementary Materials offer an Excel file automating GCLM input for Mplus (with an example also for Lavaan in R) and analyses using additional data sets and all program input/output. We also offer an introductory GCLM presentation at https://youtu.be/tHnnaRNPbXs. We conclude with a discussion of issues surrounding causal inference.},
-  publisher = {SAGE Publications},
-}
-
-@Article{Zyphur-Voelkle-Tay-etal-2019,
-  author = {Michael J. Zyphur and Manuel C. Voelkle and Louis Tay and Paul D. Allison and Kristopher J. Preacher and Zhen Zhang and Ellen L. Hamaker and Ali Shamsollahi and Dean C. Pierides and Peter Koval and Ed Diener},
-  date = {2019-05},
-  journaltitle = {Organizational Research Methods},
-  title = {From data to causes {II}: Comparing approaches to panel data analysis},
-  doi = {10.1177/1094428119847280},
-  issn = {1552-7425},
-  number = {4},
-  pages = {688--716},
-  volume = {23},
-  abstract = {This article compares a general cross-lagged model (GCLM) to other panel data methods based on their coherence with a causal logic and pragmatic concerns regarding modeled dynamics and hypothesis testing. We examine three ``static'' models that do not incorporate temporal dynamics: random- and fixed-effects models that estimate contemporaneous relationships; and latent curve models. We then describe ``dynamic'' models that incorporate temporal dynamics in the form of lagged effects: cross-lagged models estimated in a structural equation model (SEM) or multilevel model (MLM) framework; Arellano-Bond dynamic panel data methods; and autoregressive latent trajectory models. We describe the implications of overlooking temporal dynamics in static models and show how even popular cross-lagged models fail to control for stable factors over time. We also show that Arellano-Bond and autoregressive latent trajectory models have various shortcomings. By contrasting these approaches, we clarify the benefits and drawbacks of common methods for modeling panel data, including the GCLM approach we propose. We conclude with a discussion of issues regarding causal inference, including difficulties in separating different types of time-invariant and time-varying effects over time.},
-  publisher = {SAGE Publications},
-}
-
-@Book{Bolger-Laurenceau-2013,
-  author = {Niall Bolger and Jean-Philippe Laurenceau},
-  date = {2013},
-  title = {Intensive longitudinal methods: An introduction to diary and experience sampling research},
-  isbn = {9781462506927},
-  publisher = {Guilford Publications},
-  abstract = {A complete, practical guide to planning and executing an intensive longitudinal study, this book provides the tools for understanding within-subject social, psychological, and physiological processes in everyday contexts. Intensive longitudinal studies involve many repeated measurements taken on individuals, dyads, or groups, and include diary and experience sampling studies. A range of engaging, worked-through research examples with datasets are featured. Coverage includes how to: select the best intensive longitudinal design for a particular research question, model within-subject change processes for continuous and categorical outcomes, distinguish within-subject from between-subjects effects, assess the reliability of within-subject changes, assure sufficient statistical power, and more. Several end-of-chapter write-ups illustrate effective ways to present study findings for publication.},
-}
-
-@InBook{Deboeck-Preacher-Cole-2018,
-  author = {Pascal R. Deboeck and Kristopher J. Preacher and David A. Cole},
-  booktitle = {Continuous time modeling in the behavioral and related sciences},
-  date = {2018},
-  title = {Mediation modeling: Differing perspectives on time alter mediation inferences},
-  doi = {10.1007/978-3-319-77219-6_8},
-  isbn = {9783319772196},
-  pages = {179--203},
-  publisher = {Springer International Publishing},
-  abstract = {Time is unlike any other variable collected in the social, behavioral, and medical sciences. Research participants who are sampled, and variables that are measured, come in distinct, discrete units. Although time is often recorded in such discrete units (e.g., wave 1, grade 3, day 5), time is markedly different from either participants or variables. Sampling time points is unlike sampling people or variables, as there are an arbitrary number of additional samples that can be collected between any two occasions of measurement. These interstitial samples are ignored by many longitudinal modeling paradigms. These observations that occur between sampling occasions form the basis for the perspectives on mediation explored in this chapter. We focus on the difference in perspectives offered by discrete time approaches commonly utilized in mediation research versus models that conceptualize time as a continuous variable. The differences in how one conceptualizes time have the potential to alter such core mediation concepts as direct and indirect effect, complete and partial mediation, and even what constitutes a ``mediation'' model.},
-}
-
-@Book{Eddelbuettel-2013,
-  author = {Dirk Eddelbuettel},
-  date = {2013},
-  title = {Seamless {R} and {C++} integration with {Rcpp}},
-  doi = {10.1007/978-1-4614-6868-4},
-  isbn = {978-1-4614-6868-4},
-  publisher = {Springer New York},
-  abstract = {Illustrates a range of statistical computations in R using the Rcpp package.  Provides a general introduction to extending R with C++ code. Features an appendix for R users new to the C++ programming language Rcpp packages are presented in the context of useful application case studies.},
-  annotation = {r, r-packages},
-}
-
-@Book{Enders-2010,
-  author = {Craig K. Enders},
-  date = {2010-05-31},
-  title = {Applied missing data analysis},
-  isbn = {9781606236390},
-  pagetotal = {377},
-  library = {HA29 .E497 2010},
-  addendum = {https://lccn.loc.gov/2010008465},
-  abstract = {Walking readers step by step through complex concepts, this book translates missing data techniques into something that applied researchers and graduate students can understand and utilize in their own research. Enders explains the rationale and procedural details for maximum likelihood estimation, Bayesian estimation, multiple imputation, and models for handling missing not at random (MNAR) data. Easy-to-follow examples and small simulated data sets illustrate the techniques and clarify the underlying principles. The companion website (www.appliedmissingdata.com) includes data files and syntax for the examples in the book as well as up-to-date information on software. The book is accessible to substantive researchers while providing a level of detail that will satisfy quantitative specialists.},
-  publisher = {Guilford Publications},
-  keywords = {Social sciences--Statistical methods, Missing observations (Statistics), Social sciences--Research--Methodology},
-}
-
-@Book{Flor-Turk-2011,
-  author = {Herta Flor and Dennis C. Turk},
-  date = {2011},
-  title = {Chronic pain: An integrated biobehavioral approach},
-  isbn = {978-0-931092-90-9},
-  location = {Seattle, WA},
-  publisher = {IASP Press},
-  abstract = {This volume provides a psychobiological perspective on people who experience chronic pain and describes a comprehensive approach to their treatment. The text focuses on the interaction of psychosocial (psychological, behavioral, and social) and physiological processes in people with chronic pain and the implications that follow. Our basic hypothesis is that chronic pain is a learned response, whereby ``pain memories'' rather than current nociceptive input determine much of the pain experienced. Moreover, interdisciplinary approaches that integrate psychological principles and approaches with traditional biomedical knowledge in the assessment and treatment of people with chronic pain are more fruitful than any single modalities, be they physical (surgery, medication, regional anesthesia, or neuroaugmentive interventions) or psychological (biofeedback, counseling, or psychotherapy). Although our emphasis is on the role of psychological and social factors in chronic pain states, we attempt to integrate these aspects with the current biological understanding of the neurophysiology of nociception.},
-}
-
-@InBook{Koopman-Howe-Hollenbeck-2014,
-  author = {Joel Koopman and Michael Howe and John R. Hollenbeck},
-  booktitle = {More statistical and methodological myths and urban legends: Doctrine, verity and fable in organizational and social sciences},
-  date = {2014},
-  title = {Pulling the {Sobel} test up by its bootstraps},
-  bookauthor = {Charles E. Lance and Robert J. Vandenberg},
-  isbn = {9780203775851},
-  pages = {224--243},
-  doi = {10.4324/9780203775851},
-  isbn = {9780203775851},
-  abstract = {In the domain of building and testing theory, mediation relationships are among the most important that can be proposed. Mediation helps to explicate our theoretical models (Leavitt, Mitchell, \& Peterson, 2010) and addresses the fundamental question of why two constructs are related (Whetten, 1989). One of the better-known methods for testing mediation is commonly referred to as the ``Sobel test,'' named for the researcher who derived a standard error (Sobel, 1982) to test the significance of the indirect effect. Recently, a number of different research teams (e.g., Preacher \& Hayes, 2004; Shrout \& Bolger, 2002) have criticized the Sobel test because this standard error requires an assumption of normality for the indirect effect sampling distribution. This distribution tends to be positively skewed (i.e,. not normal), particularly in small samples, and so this assumption can be problematic (Preacher \& Hayes, 2004; Stone \& Sobel, 1990). As a result, the statistical power of the Sobel test may be lessened in these contexts (Preacher \& Hayes 2004; Shrout \& Bolger, 2002). In light of this concern, some scholars have advocated instead for the use of bootstrapping to test the significance of the indirect effect (e.g.. Shrout \& Bolger 2002). Bootstrapping requires no a priori assumption about the shape of the sampling distribution because this distribution is empirically estimated using a resampling procedure (Efron \& Tibshirani, 1993). As a result, departures from normality are less troublesome when creating a confidence interval for the indirect effect. For this reason, bootstrapping is now widely believed to be inherently superior to the Sobel test when testing the significance of the indirect effect in organizational research. Our position is that this belief constitutes an urban legend. As with all statistical urban legends, there is an underlying kernel of truth to the belief that bootstrapping is superior to the Sobel test. However, as we discuss in this chapter, there are several reasons to be concerned with a broad belief in the superiority of bootstrapping. We begin with a brief overview of mediation testing focusing on the Sobel test and bootstrapping and then explain the underlying kernel of truth that has propelled bootstrapping to the forefront of mediation testing in organizational research. Subsequently, we discuss four areas of concern that cast doubt on the belief of the inherent superiority of bootstrapping. Finally, we conclude with recommendations concerning the future of mediation testing in organizational research.},
-  publisher = {Routledge/Taylor \& Francis Group},
-  annotation = {mediation, mediation-delta, mediation-bootstrap},
-}
-
-@Book{Little-Rubin-2019,
-  author = {Roderick J. A. Little and Donald B. Rubin},
-  date = {2019-04},
-  title = {Statistical analysis with missing data},
-  doi = {10.1002/9781119482260},
-  edition = {3},
-  isbn = {9781119482260},
-  library = {QA276},
-  addendum = {https://lccn.loc.gov/2018061330},
-  abstract = {An up-to-date, comprehensive treatment of a classic text on missing data in statistics.
-  The topic of missing data has gained considerable attention in recent decades. This new edition by two acknowledged experts on the subject offers an up-to-date account of practical methodology for handling missing data problems. Blending theory and application, authors Roderick Little and Donald Rubin review historical approaches to the subject and describe simple methods for multivariate analysis with missing values. They then provide a coherent theory for analysis of problems based on likelihoods derived from statistical models for the data and the missing data mechanism, and then they apply the theory to a wide range of important missing data problems.
-  Statistical Analysis with Missing Data, Third Edition starts by introducing readers to the subject and approaches toward solving it. It looks at the patterns and mechanisms that create the missing data, as well as a taxonomy of missing data. It then goes on to examine missing data in experiments, before discussing complete-case and available-case analysis, including weighting methods. The new edition expands its coverage to include recent work on topics such as nonresponse in sample surveys, causal inference, diagnostic methods, and sensitivity analysis, among a host of other topics.
-  \begin{itemize} \item An updated ``classic'' written by renowned authorities on the subject \item Features over 150 exercises (including many new ones) \item Covers recent work on important methods like multiple imputation, robust alternatives to weighting, and Bayesian methods \item Revises previous topics based on past student feedback and class experience \item Contains an updated and expanded bibliography \end{itemize}
-  The authors were awarded The Karl Pearson Prize in 2017 by the International Statistical Institute, for a research contribution that has had profound influence on statistical theory, methodology or applications. Their work ``has been no less than defining and transforming.'' (ISI)
-  Statistical Analysis with Missing Data, Third Edition is an ideal textbook for upper undergraduate and/or beginning graduate level students of the subject. It is also an excellent source of information for applied statisticians and practitioners in government and industry.},
-  publisher = {Wiley},
-  keywords = {Mathematical statistics, Mathematical statistics--Problems, exercises, etc., Missing observations (Statistics), Missing observations (Statistics)--Problems, exercises, etc.},
-}
-
-@Book{Mehl-Conner-Csikszentmihalyi-2011,
-  author = {Matthias R. Mehl and Tamlin S. Conner and Mihaly. Csikszentmihalyi},
-  date = {2011},
-  title = {Handbook of research methods for studying daily life},
-  isbn = {9781609187491},
-  publisher = {Guilford Publications},
-  abstract = {Laboratory-based experimental methods historically have been the strength and pride of psychology and related disciplines. Yet a comprehensive science of behavior also requires the study of humans in real life. Bringing together leading investigators, this book reviews the breadth of current approaches for studying how people think, feel, and behave in everyday environments. The Handbook is organized in four parts. Part I covers the theoretical and methodological foundations of conducting daily life research. Part II provides guidance for designing a high-quality study and selecting and implementing appropriate methods. The chapters describe experience sampling methods, diary methods, ambulatory physiological measures, and other tools---including recording technologies and computerized approaches---that allow repeated, real-time measurement in natural settings. Part III focuses on techniques for analyzing intensive data from daily life, featuring practical discussions of power analysis, psychometrics, data cleaning, multilevel modeling, time series analysis, and other topics. Part IV reviews how methods for studying daily life have been employed in different subfields and research areas, such as the study of emotion, close relationships, personality, health, development, psychopathology, and mental health treatment. Specific advantages and challenges inherent to using the methods in each area are discussed. Timely and authoritative, this handbook meets a key need for research psychologists and for graduate students in social/personality, health, developmental, industrial/organizational, and clinical psychology.},
-}
-
-@Book{Millsap-2011,
-  author = {Roger E. Millsap},
-  date = {2011},
-  title = {Statistical approaches to measurement invariance},
-  isbn = {9780203821961 },
-  doi = {10.4324/9780203821961},
-  publisher = {Routledge},
-}
-
-@InBook{Oravecz-Wood-Ram-2018,
-  author = {Zita Oravecz and Julie Wood and Nilam Ram},
-  booktitle = {Continuous time modeling in the behavioral and related sciences},
-  date = {2018},
-  title = {On fitting a continuous-time stochastic process model in the {Bayesian} framework},
-  doi = {10.1007/978-3-319-77219-6_3},
-  isbn = {9783319772196},
-  pages = {55--78},
-  publisher = {Springer International Publishing},
-  abstract = {Process models can be viewed as mathematical tools that allow researchers to formulate and test theories on the data-generating mechanism underlying observed data. In this chapter we highlight the advantages of this approach by proposing a multilevel, continuous-time stochastic process model to capture the dynamical homeostatic process that underlies observed intensive longitudinal data. Within the multilevel framework, we also link the dynamical processes parameters to time-varying and time-invariant covariates. However, estimating all model parameters (e.g., process model parameters and regression coefficients) simultaneously requires custom-made implementation of the parameter estimation; therefore we advocate the use of a Bayesian statistical framework for fitting these complex process models. We illustrate application to data on self-reported affective states collected in an ecological momentary assessment setting.},
-}
-
-@InBook{Oud-Delsing-2010,
-  author = {Johan H. L. Oud and Marc J. M. H. Delsing},
-  editor = {Kees {van Montfort} and Johan H. L. Oud and A. Satorra},
-  booktitle = {Longitudinal research with latent variables},
-  date = {2010},
-  title = {Continuous time modeling of panel data by means of {SEM}},
-  doi = {10.1007/978-3-642-11760-2_7},
-  isbn = {9783642117602},
-  pages = {201--244},
-  publisher = {Springer Berlin Heidelberg},
-  abstract = {After a brief history of continuous time modeling and its implementation in panel analysis by means of structural equation modeling (SEM), the problems of discrete time modeling are discussed in detail. This is done by means of the popular cross-lagged panel design. Next, the exact discrete model (EDM) is introduced, which accounts for the exact nonlinear relationship between the underlying continuous time model and the resulting discrete time model for data analysis. In addition, a linear approximation of the EDM is discussed: the approximate discrete model (ADM). It is recommended to apply the ADM-SEM procedure by means of a SEM program such as LISREL in the model building phase and the EDM-SEM procedure by means of Mx in the final model estimation phase. Both procedures are illustrated in detail by two empirical examples: Externalizing and Internalizing Problem Behavior in children; Individualism, Nationalism and Ethnocentrism in the Flemish electorate.},
-}
-
-@Book{Pawitan-2013,
-  author = {Yudi Pawitan},
-  date = {2013-01-17},
-  title = {In all likelihood: Statistical modelling and inference using likelihood},
-  isbn = {9780199671229},
-  pagetotal = {544},
-  abstract = {Based on a course in the theory of statistics this text concentrates on what can be achieved using the likelihood/Fisherian method of taking account of uncertainty when studying a statistical problem. It takes the concept ot the likelihood as providing the best methods for unifying the demands of statistical modelling and the theory of inference. Every likelihood concept is illustrated by realistic examples, which are not compromised by computational problems. Examples range from a simile comparison of two accident rates, to complex studies that require generalised linear or semiparametric modelling.
-  The emphasis is that the likelihood is not simply a device to produce an estimate, but an important tool for modelling. The book generally takes an informal approach, where most important results are established using heuristic arguments and motivated with realistic examples. With the currently available computing power, examples are not contrived to allow a closed analytical solution, and the book can concentrate on the statistical aspects of the data modelling. In addition to classical likelihood theory, the book covers many modern topics such as generalized linear models and mixed models, non parametric smoothing, robustness, the EM algorithm and empirical likelihood.},
-  publisher = {Oxford University Press},
-}
-
-@InBook{Ryan-Kuiper-Hamaker-2018,
-  author = {Oisin Ryan and Rebecca M. Kuiper and Ellen L. Hamaker},
-  booktitle = {Continuous time modeling in the behavioral and related sciences},
-  date = {2018},
-  title = {A continuous-time approach to intensive longitudinal data: What, why, and how?},
-  doi = {10.1007/978-3-319-77219-6_2},
-  isbn = {9783319772196},
-  pages = {27--54},
-  publisher = {Springer International Publishing},
-  abstract = {The aim of this chapter is to (a) provide a broad didactical treatment of the first-order stochastic differential equation model—also known as the continuous-time (CT) first-order vector autoregressive (VAR(1)) model—and (b) argue for and illustrate the potential of this model for the study of psychological processes using intensive longitudinal data. We begin by describing what the CT-VAR(1) model is and how it relates to the more commonly used discrete-time VAR(1) model. Assuming no prior knowledge on the part of the reader, we introduce important concepts for the analysis of dynamic systems, such as stability and fixed points. In addition we examine why applied researchers should take a continuous-time approach to psychological phenomena, focusing on both the practical and conceptual benefits of this approach. Finally, we elucidate how researchers can interpret CT models, describing the direct interpretation of CT model parameters as well as tools such as impulse response functions, vector fields, and lagged parameter plots. To illustrate this methodology, we reanalyze a single-subject experience-sampling dataset with the R package ctsem; for didactical purposes, R code for this analysis is included, and the dataset itself is publicly available.},
-}
-
-@Book{Shumway-Stoffer-2017,
-  author = {Robert H. Shumway and David S. Stoffer},
-  publisher = {Springer International Publishing},
-  title = {Time series analysis and its applications: With {R} examples},
-  isbn = {978-3-319-52452-8},
-  date = {2017},
-  doi = {10.1007/978-3-319-52452-8},
-  library = {QA280},
-  addendum = {https://lccn.loc.gov/2019301243},
-  abstract = {The fourth edition of this popular graduate textbook, like its predecessors, presents a balanced and comprehensive treatment of both time and frequency domain methods with accompanying theory. Numerous examples using nontrivial data illustrate solutions to problems such as discovering natural and anthropogenic climate change, evaluating pain perception experiments using functional magnetic resonance imaging, and monitoring a nuclear test ban treaty.
-The book is designed as a textbook for graduate level students in the physical, biological, and social sciences and as a graduate level text in statistics. Some parts may also serve as an undergraduate introductory course. Theory and methodology are separated to allow presentations on different levels. In addition to coverage of classical methods of time series regression, ARIMA models, spectral analysis and state-space models, the text includes modern developments including categorical time series analysis, multivariate spectral methods, long memory series, nonlinear models, resampling techniques, GARCH models, ARMAX models, stochastic volatility, wavelets, and Markov chain Monte Carlo integration methods.
-This edition includes R code for each numerical example in addition to Appendix R, which provides a reference for the data sets and R scripts used in the text in addition to a tutorial on basic R commands and R time series. An additional file is available on the book’s website for download, making all the data sets and scripts easy to load into R.},
-  keywords = {Time-series analysis, Time-series analysis--Data processing, R (Computer program language)},
-}
-
-@InBook{Turk-Monarch-2018,
-  author = {Dennis C. Turk and Elena S. Monarch},
-  booktitle = {Psychological approaches to pain management: A practitioner's handbook},
-  date = {2018},
-  title = {Biopsychosocial perspective on chronic pain},
-  edition = {3},
-  editor = {Dennis C. Turk and Robert J. Gatchel},
-  isbn = {9781462535620},
-  location = {New York},
-  publisher = {The Guilford Press},
-}
-
-@Book{vanBuuren-2018,
-  author = {Stef {van Buuren}},
-  date = {2018-07},
-  title = {Flexible imputation of missing data},
-  doi = {10.1201/9780429492259},
-  edition = {2},
-  isbn = {9780429492259},
-  publisher = {Chapman and Hall/{CRC}},
-  library = {QA278},
-  addendum = {https://lccn.loc.gov/2019719619},
-  abstract = {Missing data pose challenges to real-life data analysis. Simple ad-hoc fixes, like deletion or mean imputation, only work under highly restrictive conditions, which are often not met in practice. Multiple imputation replaces each missing value by multiple plausible values. The variability between these replacements reflects our ignorance of the true (but missing) value. Each of the completed data set is then analyzed by standard methods, and the results are pooled to obtain unbiased estimates with correct confidence intervals. Multiple imputation is a general approach that also inspires novel solutions to old problems by reformulating the task at hand as a missing-data problem.
-  This is the second edition of a popular book on multiple imputation, focused on explaining the application of methods through detailed worked examples using the MICE package as developed by the author. This new edition incorporates the recent developments in this fast-moving field.
-  This class-tested book avoids mathematical and technical details as much as possible: formulas are accompanied by verbal statements that explain the formula in accessible terms. The book sharpens the reader’s intuition on how to think about missing data, and provides all the tools needed to execute a well-grounded quantitative analysis in the presence of missing data.},
-  keywords = {Multivariate analysis, Multiple imputation (Statistics), Missing observations (Statistics)},
-}
-
-@Book{vanMontfort-Oud-Satorra-2010,
-  date = {2010},
-  title = {Longitudinal research with latent variables},
-  editor = {Kees {van Montfort} and Johan H. L. Oud and A. Satorra},
-  isbn = {9783642117602},
-  location = {New York},
-  note = {Includes bibliographical references.},
-  pagetotal = {301},
-  publisher = {Springer},
-  ppn_gvk = {1772810835},
-}
-
-@Book{vanMontfort-Oud-Voelkle-2018,
-  date = {2018},
-  title = {Continuous time modeling in the behavioral and related sciences},
-  doi = {10.1007/978-3-319-77219-6},
-  editor = {Kees {van Montfort} and Johan H. L. Oud and Manuel C. Voelkle},
-  publisher = {Springer International Publishing},
-}
-
-@InCollection{Zhang-Wang-Tong-2015,
-  author = {Zhiyong Zhang and Lijuan Wang and Xin Tong},
-  booktitle = {Quantitative Psychology Research},
-  date = {2015},
-  title = {Mediation analysis with missing data through multiple imputation and bootstrap},
-  doi = {10.1007/978-3-319-19977-1_24},
-  pages = {341--355},
-  abtract = {A method using multiple imputation and bootstrap for dealing with missing data in mediation analysis is introduced and implemented in both SAS and R. Through simulation studies, it is shown that the method performs well for both MCAR and MAR data without and with auxiliary variables. It is also shown that the method can work for MNAR data if auxiliary variables related to missingness are included. The application of the method is demonstrated through the analysis of a subset of data from the National Longitudinal Survey of Youth. Mediation analysis with missing data can be conducted using the provided SAS macros and R package bmem.},
-  publisher = {Springer International Publishing},
-  keywords = {mediation analysis, missing data, multiple imputation, bootstrap},
-  annotation = {mediation, mediation-missing, mediation-bootstrap},
-}
-
-@Misc{Hesterberg-2014,
-  title = {What teachers should know about the bootstrap: Resampling in the undergraduate statistics curriculum},
-  author = {Tim C. Hesterberg},
-  date = {2014},
-  eprint = {1411.5279},
-  archiveprefix = {arXiv},
-  primaryclass = {stat.OT},
-  url = {https://arxiv.org/abs/1411.5279},
-  abstract = {I have three goals in this article: \begin{enumerate} \item To show the enormous potential of bootstrapping and permutation tests to help students understand statistical concepts including sampling distributions, standard errors, bias, confidence intervals, null distributions, and P-values. \item To dig deeper, understand why these methods work and when they don't, things to watch out for, and how to deal with these issues when teaching. \item To change statistical practice---by comparing these methods to common $t$ tests and intervals, we see how inaccurate the latter are; we confirm this with asymptotics. $n \geq 30$ isn't enough---think $n \geq 5000$. \end{enumerate} Resampling provides diagnostics, and more accurate alternatives. Sadly, the common bootstrap percentile interval badly under-covers in small samples; there are better alternatives. The tone is informal, with a few stories and jokes.},
-  keywords = {teaching, bootstrap, permutation test, randomization test},
-}
-
-@Report{Jones-Waller-2013b,
-  author = {Jeff A. Jones and Niels G. Waller},
-  date = {2013-05-25},
-  institution = {University of Minnesota-Twin Cities},
-  title = {The normal-theory and asymptotic distribution-free ({ADF}) covariance matrix of standardized regression coefficients: Theoretical extensions and finite sample behavior},
-  type = {techreport},
-  url = {http://users.cla.umn.edu/~nwaller/downloads/techreports/TR052913.pdf},
-  urldate = {2022-07-22},
-  abstract = {Yuan and Chan (2011) recently showed how to compute the covariance matrix of standardized regression coefficients from covariances. In this paper, we describe a new method for computing this covariance matrix from correlations. We then show that Yuan and Chan's original equations can also be used when only correlational data are available. Next, we describe an asymptotic distribution-free (ADF; Browne, 1984) method for computing the covariance matrix of standardized regression coefficients. We show that theADF method works well with non-normal data in moderate-to-large samples using both simulated and real-data examples. Finally, we provide R code (R Development Core Team, 2012) in an Appendix to make these methods accessible to applied researchers.},
-}
-
-@Manual{Muthen-Muthen-2017,
-  author = {Linda K. Muth{\a'e}n and Bengt O. Muth{\a'e}n},
-  date = {2017},
-  title = {{Mplus} user’s guide. {Eighth} edition},
-  location = {Los Angeles, CA},
-  publisher = {{Muth\'en} \& {Muth\'en}},
-  annotation = {sem, sem-software},
-}
-
-@Article{Adolf-Loossens-Tuerlinckx-etal-2021,
-  author = {Janne K. Adolf and Tim Loossens and Francis Tuerlinckx and Eva Ceulemans},
-  date = {2021-12},
-  journaltitle = {Psychological Methods},
-  title = {Optimal sampling rates for reliable continuous-time first-order autoregressive and vector autoregressive modeling},
-  doi = {10.1037/met0000398},
-  issn = {1082-989X},
-  number = {6},
-  pages = {701--718},
-  volume = {26},
-  abstract = {Autoregressive and vector autoregressive models are a driving force in current psychological research. In affect research they are, for instance, frequently used to formalize affective processes and estimate affective dynamics. Discrete-time model variants are most commonly used, but continuous-time formulations are gaining popularity, because they can handle data from longitudinal studies in which the sampling rate varies within the study period, and yield results that can be compared across data sets from studies with different sampling rates. However, whether and how the sampling rate affects the quality with which such continuous-time models can be estimated, has largely been ignored in the literature. In the present article, we show how the sampling rate affects the estimation reliability (i.e., the standard errors of the parameter estimators, with smaller values indicating higher reliability) of continuous-time autoregressive and vector autoregressive models. Moreover, we determine which sampling rates are optimal in the sense that they lead to standard errors of minimal size (subject to the assumption that the models are correct). Our results are based on the theories of optimal design and maximum likelihood estimation. We illustrate them making use of data from the COGITO Study. We formulate recommendations for study planning, and elaborate on strengths and limitations of our approach.},
-  publisher = {American Psychological Association (APA)},
-}
-
-@Article{Cheung-2021,
-  author = {Mike W.-L. Cheung},
-  date = {2021-06},
-  journaltitle = {Alcohol and Alcoholism},
-  title = {Synthesizing indirect effects in mediation models with meta-analytic methods},
-  doi = {10.1093/alcalc/agab044},
-  number = {1},
-  pages = {5--15},
-  volume = {57},
-  abstract = {Aims
-  A mediator is a variable that explains the underlying mechanism between an independent variable and a dependent variable. The indirect effect indicates the effect from the predictor to the outcome variable via the mediator. In contrast, the direct effect represents the predictor's effort on the outcome variable after controlling for the mediator.
-  Methods
-  A single study rarely provides enough evidence to answer research questions in a particular domain. Replications are generally recommended as the gold standard to conduct scientific research. When a sufficient number of studies have been conducted addressing similar research questions, a meta-analysis can be used to synthesize those studies' findings.
-  Results
-  The main objective of this paper is to introduce two frameworks to integrating studies using mediation analysis. The first framework involves calculating standardized indirect effects and direct effects and conducting a multivariate meta-analysis on those effect sizes. The second one uses meta-analytic structural equation modeling to synthesize correlation matrices and fit mediation models on the average correlation matrix. We illustrate these procedures on a real dataset using the R statistical platform.
-  Conclusion
-  This paper closes with some further directions for future studies.},
-  publisher = {Oxford University Press ({OUP})},
-  keywords = {heterogeneity, gold standard, outcome variable, datasets, mediation analysis},
-}
-
-@Article{Cheung-Cheung-Lau-etal-2022,
-  author = {Shu Fai Cheung and Sing-Hang Cheung and Esther Yuet Ying Lau and C. Harry Hui and Weng Ngai Vong},
-  date = {2022-07},
-  journaltitle = {Health Psychology},
-  title = {Improving an old way to measure moderation effect in standardized units.},
-  doi = {10.1037/hea0001188},
-  issn = {0278-6133},
-  number = {7},
-  pages = {502--505},
-  volume = {41},
-  abstract = {Moderation effects in multiple regression, tested usually by the inclusion of a product term, are frequently investigated in health psychology. However, several issues in presenting the moderation effects in standardized units and their associated confidence intervals are commonly observed. While an old method had been proposed to standardize variables in moderated regression before fitting a moderated regression model, this method was rarely used due to inconvenience and even when used, the confidence intervals derived were biased. Here, we attempt to solve these two problems by providing a tool to conveniently conduct standardization in moderated regression without the step of standardizing the variables beforehand and to accurately form the nonparametric bootstrapping confidence intervals for this standardized measure of moderation effects. Health psychology researchers are now equipped with a tool that can be used to report and interpret standardized moderation effects correctly.},
-  publisher = {American Psychological Association (APA)},
-}
-
-@Article{Cheung-Pesigan-2023a,
-  author = {Shu Fai Cheung and Ivan Jacob Agaloos Pesigan},
-  date = {2023-01},
-  journaltitle = {Multivariate Behavioral Research},
-  title = {{FINDOUT}: Using either {SPSS} commands or graphical user interface to identify influential cases in structural equation modeling in {AMOS}},
-  doi = {10.1080/00273171.2022.2148089},
-  pages = {1--5},
-  abstract = {The results in a structural equation modeling (SEM) analysis can be influenced by just a few observations, called influential cases. Tools have been developed for users of R to identify them. However, similar tools are not available for AMOS, which is also a popular SEM software package. We introduce the FINDOUT toolset, a group of SPSS extension commands, and an AMOS plugin, to identify influential cases and examine how these cases influence the results. The SPSS commands can be used either as syntax commands or as custom dialogs from pull-down menus, and the AMOS plugin can be run from AMOS pull-down menu. We believe these tools can help researchers to examine the robustness of their findings to influential cases.},
-  publisher = {Informa {UK} Limited},
-  keywords = {influential cases, outliers, structural equation modeling, AMOS, sensitivity analysis, SPSS},
-}
-
-@Article{Cheung-Pesigan-2023b,
-  author = {Shu Fai Cheung and Ivan Jacob Agaloos Pesigan},
-  date = {2023-05},
-  journaltitle = {Structural Equation Modeling: A Multidisciplinary Journal},
-  title = {{semlbci}: An {R} package for forming likelihood-based confidence intervals for parameter estimates, correlations, indirect effects, and other derived parameters},
-  doi = {10.1080/10705511.2023.2183860},
-  pages = {1--15},
-  abstract = {There are three common types of confidence interval (CI) in structural equation modeling (SEM): Wald-type CI, bootstrapping CI, and likelihood-based CI (LBCI). LBCI has the following advantages: (1) it has better coverage probabilities and Type I error rate compared to Wald-type CI when the sample size is finite; (2) it correctly tests the null hypothesis of a parameter based on likelihood ratio chi-square difference test; (3) it is less computationally intensive than bootstrapping CI; and (4) it is invariant to transformations. However, LBCI is not available in many popular SEM software packages. We developed an R package, semlbci, for forming LBCI for parameters in models fitted by lavaan, a popular open-source SEM package, such that researchers have more options in forming CIs for parameters in SEM. The package supports both unstandardized and standardized estimates, derived parameters such as indirect effect, multisample models, and the robust LBCI proposed by Falk.},
-  publisher = {Informa {UK} Limited},
-  keywords = {confidence interval, likelihood-based confidence interval, robust method, structural equation modeling},
-  annotation = {r, r-packages, sem, sem-software, sem-likelihood},
-}
-
-@Article{Cheung-Pesigan-Vong-2022,
-  author = {Shu Fai Cheung and Ivan Jacob Agaloos Pesigan and Weng Ngai Vong},
-  date = {2022-03},
-  journaltitle = {Behavior Research Methods},
-  title = {{DIY} bootstrapping: Getting the nonparametric bootstrap confidence interval in {SPSS} for any statistics or function of statistics (when this bootstrapping is appropriate)},
-  doi = {10.3758/s13428-022-01808-5},
-  number = {2},
-  pages = {474--490},
-  volume = {55},
-  abstract = {Researchers can generate bootstrap confidence intervals for some statistics in SPSS using the BOOTSTRAP command. However, this command can only be applied to selected procedures, and only to selected statistics in these procedures. We developed an extension command and prepared some sample syntax files based on existing approaches from the Internet to illustrate how researchers can (a) generate a large number of nonparametric bootstrap samples, (b) do desired analysis on all these samples, and (c) form the bootstrap confidence intervals for selected statistics using the OMS commands. We developed these tools to help researchers apply nonparametric bootstrapping to any statistics for which this method is appropriate, including statistics derived from other statistics, such as standardized effect size measures computed from the t test results. We also discussed how researchers can extend the tools for other statistics and scenarios they encounter.},
-  publisher = {Springer Science and Business Media {LLC}},
-  keywords = {bootstrapping, effect sizes, confidence intervals},
-}
-
-@Article{Courtney-Russell-2021,
-  author = {Jimikaye B. Courtney and Michael A. Russell},
-  date = {2021-08},
-  journaltitle = {Psychology of Addictive Behaviors},
-  title = {Testing affect regulation models of drinking prior to and after drinking initiation using ecological momentary assessment},
-  doi = {10.1037/adb0000763},
-  issn = {0893-164X},
-  number = {5},
-  pages = {597--608},
-  volume = {35},
-  abstract = {Objective: Affect regulation models of drinking state that affect motivates and reinforces drinking. Few studies have been able to elucidate the timing of these associations in natural settings. We tested positive affect (PA) and negative affect (NA) as predictors of drinking behavior, both prior to and during drinking episodes, and whether drinking predicted changes in affect during episodes. Method: Two hundred twenty two regularly drinking young adults (21–29 years, 84\% undergraduates), completed an ecological momentary assessment (EMA) protocol for five consecutive 24-hr periods stretching across 6 days (Wednesday–Monday). Participants provided PA and NA reports three times daily and every half hour during drinking episodes. Alcohol consumption reports were provided each morning and every half hour during drinking episodes. Results: Multi-level models showed that greater pre-drinking PA predicted higher odds of drinking and greater number of drinks consumed. Pre-drinking NA did not predict same day odds of drinking or drinks consumed. Episode-level results revealed different associations for PA and NA with drinking. Current PA did not predict drinks consumed over the next half hour; however, increased drinking was associated with greater increases in PA over the next half hour. Higher NA predicted fewer drinks consumed in the next half hour and higher odds of the end of a drinking episode; however, increased drinking was not associated with changes in NA. Conclusions: PA increased following drinking during episodes. Our results suggest that a focus on PA prior to episodes and a focus on NA during episodes may interrupt processes leading to heavy drinking, and may therefore aid prevention efforts.},
-  publisher = {American Psychological Association (APA)},
-}
-
-@Article{Didier-King-Polley-etal-2023,
-  author = {Nathan A. Didier and Andrea C. King and Eric C. Polley and Daniel J. Fridberg},
-  date = {2023-10},
-  journaltitle = {Experimental and Clinical Psychopharmacology},
-  title = {Signal processing and machine learning with transdermal alcohol concentration to predict natural environment alcohol consumption.},
-  doi = {10.1037/pha0000683},
-  issn = {1064-1297},
-  abstract = {Wrist-worn alcohol biosensors continuously and discreetly record transdermal alcohol concentration (TAC) and may allow alcohol researchers to monitor alcohol consumption in participants’ natural environments. However, the field lacks established methods for signal processing and detecting alcohol events using these devices. We developed software that streamlines analysis of raw data (TAC, temperature, and motion) from a wrist-worn alcohol biosensor (BACtrack Skyn) through a signal processing and machine learning pipeline: biologically implausible skin surface temperature readings (< 28C) were screened for potential device removal and TAC artifacts were corrected, features that describe TAC (e.g., rise duration) were calculated and used to train models (random forest and logistic regression) that predict self-reported alcohol consumption, and model performances were measured and summarized in autogenerated reports. The software was tested using 60 Skyn data sets recorded during 30 alcohol drinking episodes and 30 nonalcohol drinking episodes. Participants (N = 36; 13 with alcohol use disorder) wore the Skyn during one alcohol drinking episode and one nonalcohol drinking episode in their natural environment. In terms of distinguishing alcohol from nonalcohol drinking, correcting artifacts in the data resulted in 10\% improvement in model accuracy relative to using raw data. Random forest and logistic regression models were both accurate, correctly predicting 97\% (58/60; AUC-ROCs = 0.98, 0.96) of episodes. Area under TAC curve, rise duration of TAC curve, and peak TAC were the most important features for predictive accuracy. With promising model performance, this protocol will enhance the efficiency and reliability of TAC sensors for future alcohol monitoring research.},
-  publisher = {American Psychological Association (APA)},
-}
-
-@Article{Dora-Piccirillo-Foster-etal-2023,
-  author = {Jonas Dora and Marilyn Piccirillo and Katherine T. Foster and Kelly Arbeau and Stephen Armeli and Marc Auriacombe and Bruce Bartholow and Adriene M. Beltz and Shari M. Blumenstock and Krysten Bold and Erin E. Bonar and Abby Braitman and Ryan W. Carpenter and Kasey G. Creswell and Tracy {De Hart} and Robert D. Dvorak and Noah Emery and Matthew Enkema and Catharine E. Fairbairn and Anne M. Fairlie and Stuart G. Ferguson and Teresa Freire and Fallon Goodman and Nisha Gottfredson and Max Halvorson and Maleeha Haroon and Andrea L. Howard and Andrea Hussong and Kristina M. Jackson and Tiffany Jenzer and Dominic P. Kelly and Adam M. Kuczynski and Alexis Kuerbis and Christine M. Lee and Melissa Lewis and Ashley N. Linden-Carmichael and Andrew Littlefield and David M. Lydon-Staley and Jennifer E. Merrill and Robert Miranda and Cynthia Mohr and Jennifer P. Read and Clarissa Richardson and Roisin M. O'Connor and Stephanie S. O'Malley and Lauren Papp and Thomas M. Piasecki and Paul Sacco and Nichole Scaglione and Fuschia Serre and Julia Shadur and Kenneth J. Sher and Yuichi Shoda and Tracy L. Simpson and Michele R. Smith and Angela Stevens and Brittany Stevenson and Howard Tennen and Michael Todd and Hayley {Treloar Padovano} and Timothy Trull and Jack Waddell and Katherine Walukevich-Dienst and Katie Witkiewitz and Tyler Wray and Aidan G. C. Wright and Andrea M. Wycoff and Kevin M. King},
-  date = {2023-01},
-  journaltitle = {Psychological Bulletin},
-  title = {The daily association between affect and alcohol use: A meta-analysis of individual participant data},
-  doi = {10.1037/bul0000387},
-  issn = {0033-2909},
-  number = {1–2},
-  pages = {1--24},
-  volume = {149},
-  abstract = {Influential psychological theories hypothesize that people consume alcohol in response to the experience of both negative and positive emotions. Despite two decades of daily diary and ecological momentary assessment research, it remains unclear whether people consume more alcohol on days they experience higher negative and positive affects in everyday life. In this preregistered meta-analysis, we synthesized the evidence for these daily associations between affect and alcohol use. We included individual participant data from 69 studies (N = 12,394), which used daily and momentary surveys to assess the affect and the number of alcoholic drinks consumed. Results indicate that people are not more likely to drink on days they experience high negative affect but are more likely to drink and drink heavily on days high in positive affect. People self-reporting a motivational tendency to drink-to-cope and drink-to-enhance consumed more alcohol but not on days they experienced higher negative and positive affects. Results were robust across different operationalizations of affect, study designs, study populations, and individual characteristics. These findings challenge the long-held belief that people drink more alcohol following increase in negative affect. Integrating these findings under different theoretical models and limitations of this field of research, we collectively propose an agenda for future research to explore open questions surrounding affect and alcohol use.},
-  publisher = {American Psychological Association (APA)},
-}
-
-@Article{Fridberg-Wang-Porges-2022,
-  author = {Daniel J. Fridberg and Yan Wang and Eric Porges},
-  date = {2022-02},
-  journaltitle = {Alcoholism: Clinical and Experimental Research},
-  title = {Examining features of transdermal alcohol biosensor readings: A promising approach with implications for research and intervention},
-  doi = {10.1111/acer.14794},
-  issn = {1530-0277},
-  number = {4},
-  pages = {514--516},
-  volume = {46},
-  publisher = {Wiley},
-}
-
-@Article{Georgeson-AlvarezBartolo-MacKinnon-2023,
-  author = {A. R. Georgeson and Diana Alvarez-Bartolo and David P. MacKinnon},
-  date = {2023-12},
-  journaltitle = {Psychological Methods},
-  title = {A sensitivity analysis for temporal bias in cross-sectional mediation},
-  doi = {10.1037/met0000628},
-  abstract = {For over three decades, methodologists have cautioned against the use of cross-sectional mediation analyses because they yield biased parameter estimates. Yet, cross-sectional mediation models persist in practice and sometimes represent the only analytic option. We propose a sensitivity analysis procedure to encourage a more principled use of cross-sectional mediation analysis, drawing inspiration from Gollob and Reichardt (1987, 1991). The procedure is based on the two-wave longitudinal mediation model and uses phantom variables for the baseline data. After a researcher provides ranges of possible values for cross-lagged, autoregressive, and baseline Y and M correlations among the phantom and observed variables, they can use the sensitivity analysis to identify longitudinal conditions in which conclusions from a cross-sectional model would differ most from a longitudinal model. To support the procedure, we first show that differences in sign and effect size of the b-path occur most often when the cross-sectional effect size of the b-path is small and the cross-lagged and the autoregressive correlations are equal or similar in magnitude. We then apply the procedure to cross-sectional analyses from real studies and compare the sensitivity analysis results to actual results from a longitudinal mediation analysis. While no statistical procedure can replace longitudinal data, these examples demonstrate that the sensitivity analysis can recover the effect that was actually observed in the longitudinal data if provided with the correct input information. Implications of the routine application of sensitivity analysis to temporal bias are discussed. R code for the procedure is provided in the online supplementary materials.},
-  publisher = {American Psychological Association (APA)},
-  keywords = {mediation, cross-sectional mediation, sensitivity analysis},
-  annotation = {mediation},
-}
-
-@Article{Gunn-Steingrimsson-Merrill-etal-2021,
-  author = {Rachel L. Gunn and Jon A. Steingrimsson and Jennifer E. Merrill and Timothy Souza and Nancy Barnett},
-  date = {2021-05},
-  journaltitle = {Drug and Alcohol Review},
-  title = {Characterising patterns of alcohol use among heavy drinkers: A cluster analysis utilising alcohol biosensor data},
-  doi = {10.1111/dar.13306},
-  issn = {1465-3362},
-  number = {7},
-  pages = {1155--1164},
-  volume = {40},
-  abstract = {Introduction: Previous research has predominately relied on person-level or single characteristics of drinking episodes to characterise patterns of drinking that may confer risk. This research often relies on self-report measures. Advancements in wearable alcohol biosensors provide a multi-faceted objective measure of drinking. The current study aimed to characterise drinking episodes using data derived from a wearable alcohol biosensor. Methods: Participants ($n = 45$) were adult heavy drinkers who wore the Secure Continuous Remote Alcohol Monitoring (SCRAM) bracelet and reported on their drinking behaviours. Cluster analysis was used to evaluate unique combinations of alcohol episode characteristics. Associations between clusters and self-reported person and event-level factors were also examined in univariable and multivariable models. Results: Results suggested three unique clusters: Cluster 1 (most common, slowest rate of rise to and decline from peak), Cluster 2 (highest peak transdermal alcohol concentration and area under the curve) and Cluster 3 (fastest rate of decline from peak). Univariable analyses distinguished Cluster 1 as having fewer self-reported drinks and fewer episodes that occurred on weekends relative to Cluster 2. The effect for number of drinks remained in multivariable analyses. Discussion and Conclusions: This is the first study to characterise drinking patterns at the event-level using objective data. Results suggest that it is possible to distinguish drinking episodes based on several characteristics derived from wearable alcohol biosensors. This examination lays the groundwork for future studies to characterise patterns of drinking and their association with consequences of drinking behaviour.
-},
-  publisher = {Wiley},
-}
-
-@Article{Hecht-Zitzmann-2020a,
-  author = {Martin Hecht and Steffen Zitzmann},
-  date = {2020-03},
-  journaltitle = {Structural Equation Modeling: A Multidisciplinary Journal},
-  title = {A computationally more efficient {Bayesian} approach for estimating continuous-time models},
-  doi = {10.1080/10705511.2020.1719107},
-  issn = {1532-8007},
-  number = {6},
-  pages = {829--840},
-  volume = {27},
-  abstract = {Continuous-time modeling is gaining in popularity as more and more intensive longitudinal data need to be analyzed. Current Bayesian software implementations of continuous-time models suffer from rather high, inadequate run times. Therefore, we apply a model reformulation approach to reduce run time. In a simulation study, we investigate the estimation quality and run time gain. We then illustrate our optimized Bayesian continuous-time model estimation and compare it to established continuous-time modeling software using an empirical example. Parameter estimates and inference statistics were very comparable, while run times were very different. Our approach reduces the run times for Bayesian estimations of continuous-time models from hours to minutes.},
-  publisher = {Informa UK Limited},
-}
-
-@Article{Hecht-Zitzmann-2020b,
-  author = {Martin Hecht and Steffen Zitzmann},
-  date = {2020-07},
-  journaltitle = {Structural Equation Modeling: A Multidisciplinary Journal},
-  title = {Sample size recommendations for continuous-time models: Compensating shorter time series with larger numbers of persons and vice versa},
-  doi = {10.1080/10705511.2020.1779069},
-  issn = {1532-8007},
-  number = {2},
-  pages = {229--236},
-  volume = {28},
-  abstract = {Autoregressive modeling has traditionally been concerned with time-series data from one unit (N = 1). For short time series (T < 50), estimation performance problems are well studied and documented. Fortunately, in psychological and social science research, besides T, another source of information is often available for model estimation, that is, the persons (N > 1). In this work, we illustrate the N/T compensation effect: With an increasing number of persons N at constant T, the model estimation performance increases, and vice versa, with an increasing number of time points T at constant N, the performance increases as well. Based on these observations, we develop sample size recommendations in the form of easily accessible N/T heatmaps for two popular autoregressive continuous-time models.},
-  publisher = {Informa UK Limited},
-}
-
-@Article{Hecht-Zitzmann-2021,
-  author = {Martin Hecht and Steffen Zitzmann},
-  date = {2021-05},
-  journaltitle = {Structural Equation Modeling: A Multidisciplinary Journal},
-  title = {Exploring the unfolding of dynamic effects with continuous-time models: Recommendations concerning statistical power to detect peak cross-lagged effects},
-  doi = {10.1080/10705511.2021.1914627},
-  issn = {1532-8007},
-  number = {6},
-  pages = {894--902},
-  volume = {28},
-  abstract = {Cross-lagged panel models have been commonly applied to investigate the dynamic interplay of variables. In such discrete-time models, the size of the cross-lagged effects depends on the length of the time interval between the measurement occasions. Continuous-time modeling allows to explore this interval dependence of cross-lagged effects and thus to identify the maximal “peak” cross-lagged effects. To detect these peak effects, sufficient statistical power is needed. Based on results from a simulation study, we employed machine learning algorithms to identify a highly accurate prediction model. Results are incorporated into a Shiny App (available at https://psychtools.shinyapps.io/ ContinuousTimePowerCalculation) for easy power calculations. Although limitations apply, our results might be helpful for study planning.},
-  publisher = {Informa UK Limited},
-}
-
-@Article{Li-Oravecz-Zhou-etal-2022,
-  author = {Yanling Li and Zita Oravecz and Shuai Zhou and Yosef Bodovski and Ian J. Barnett and Guangqing Chi and Yuan Zhou and Naomi P. Friedman and Scott I. Vrieze and Sy-Miin Chow},
-  date = {2022-01},
-  journaltitle = {Psychometrika},
-  title = {{Bayesian} forecasting with a regime-switching zero-inflated multilevel poisson regression model: An application to adolescent alcohol use with spatial covariates},
-  doi = {10.1007/s11336-021-09831-9},
-  number = {2},
-  pages = {376--402},
-  volume = {87},
-  abstract = {In this paper, we present and evaluate a novel Bayesian regime-switching zero-inflated multilevel Poisson (RS-ZIMLP) regression model for forecasting alcohol use dynamics. The model partitions individuals’ data into two phases, known as regimes, with: (1) a zero-inflation regime that is used to accommodate high instances of zeros (non-drinking) and (2) a multilevel Poisson regression regime in which variations in individuals’ log-transformed average rates of alcohol use are captured by means of an autoregressive process with exogenous predictors and a person-specific intercept. The times at which individuals are in each regime are unknown, but may be estimated from the data. We assume that the regime indicator follows a first-order Markov process as related to exogenous predictors of interest. The forecast performance of the proposed model was evaluated using a Monte Carlo simulation study and further demonstrated using substance use and spatial covariate data from the Colorado Online Twin Study (CoTwins). Results showed that the proposed model yielded better forecast performance compared to a baseline model which predicted all cases as non-drinking and a reduced ZIMLP model without the RS structure, as indicated by higher AUC (the area under the receiver operating characteristic (ROC) curve) scores, and lower mean absolute errors (MAEs) and root-mean-square errors (RMSEs). The improvements in forecast performance were even more pronounced when we limited the comparisons to participants who showed at least one instance of transition to drinking. },
-  publisher = {Springer Science and Business Media {LLC}},
-  keywords = {Bayesian zero-inflated Poisson model, forecast, intensive longitudinal data, regime-switching, spatial data, substance use},
-  annotation = {bayesian, ild},
-}
-
-@Article{Li-Wood-Ji-etal-2021,
-  author = {Yanling Li and Julie Wood and Linying Ji and Sy-Miin Chow and Zita Oravecz},
-  date = {2021-09},
-  journaltitle = {Structural Equation Modeling: A Multidisciplinary Journal},
-  title = {Fitting multilevel vector autoregressive models in {Stan}, {JAGS}, and {Mplus}},
-  doi = {10.1080/10705511.2021.1911657},
-  number = {3},
-  pages = {452--475},
-  volume = {29},
-  abstract = {The influx of intensive longitudinal data creates a pressing need for complex modeling tools that help enrich our understanding of how individuals change over time. Multilevel vector autoregressive (mlVAR) models allow for simultaneous evaluations of reciprocal linkages between dynamic processes and individual differences, and have gained increased recognition in recent years. High-dimensional and other complex variations of mlVAR models, though often computationally intractable in the frequentist framework, can be readily handled using Markov chain Monte Carlo techniques in a Bayesian framework. However, researchers in social science fields may be unfamiliar with ways to capitalize on recent developments in Bayesian software programs. In this paper, we provide step-by-step illustrations and comparisons of options to fit Bayesian mlVAR models using Stan, JAGS and Mplus, supplemented with a Monte Carlo simulation study. An empirical example is used to demonstrate the utility of mlVAR models in studying intra- and inter-individual variations in affective dynamics.},
-  publisher = {Informa {UK} Limited},
-  keywords = {multilevel vector autoregressive models, Bayesian modeling, missing data, affective dynamics},
-}
-
-@Article{Loossens-Mestdagh-Dejonckheere-etal-2020,
-  author = {Tim Loossens and Merijn Mestdagh and Egon Dejonckheere and Peter Kuppens and Francis Tuerlinckx and Stijn Verdonck},
-  date = {2020-05},
-  journaltitle = {PLOS Computational Biology},
-  title = {The {Affective Ising Model}: A computational account of human affect dynamics},
-  doi = {10.1371/journal.pcbi.1007860},
-  editor = {Jacopo Grilli},
-  issn = {1553-7358},
-  number = {5},
-  pages = {e1007860},
-  volume = {16},
-  abstract = {The human affect system is responsible for producing the positive and negative feelings that color and guide our lives. At the same time, when disrupted, its workings lie at the basis of the occurrence of mood disorder. Understanding the functioning and dynamics of the affect system is therefore crucial to understand the feelings that people experience on a daily basis, their dynamics across time, and how they can become dysregulated in mood disorder. In this paper, a nonlinear stochastic model for the dynamics of positive and negative affect is proposed called the Affective Ising Model (AIM). It incorporates principles of statistical mechanics, is inspired by neurophysiological and behavioral evidence about auto-excitation and mutual inhibition of the positive and negative affect dimensions, and is intended to better explain empirical phenomena such as skewness, multimodality, and non-linear relations of positive and negative affect. The AIM is applied to two large experience sampling studies on the occurrence of positive and negative affect in daily life in both normality and mood disorder. It is examined to what extent the model is able to reproduce the aforementioned non-Gaussian features observed in the data, using two sightly different continuous-time vector autoregressive (VAR) models as benchmarks. The predictive performance of the models is also compared by means of leave-one-out cross-validation. The results indicate that the AIM is better at reproducing non-Gaussian features while their performance is comparable for strictly Gaussian features. The predictive performance of the AIM is also shown to be better for the majority of the affect time series. The potential and limitations of the AIM as a computational model approximating the workings of the human affect system are discussed.},
-  publisher = {Public Library of Science (PLoS)},
-}
-
-@Article{Loossens-Tuerlinckx-Verdonck-2021,
-  author = {Tim Loossens and Francis Tuerlinckx and Stijn Verdonck},
-  date = {2021-03},
-  journaltitle = {Scientific Reports},
-  title = {A comparison of continuous and discrete time modeling of affective processes in terms of predictive accuracy},
-  doi = {10.1038/s41598-021-85320-4},
-  issn = {2045-2322},
-  number = {1},
-  volume = {11},
-  abstract = {Intra-individual processes are thought to continuously unfold across time. For equally spaced time intervals, the discrete-time lag-1 vector autoregressive (VAR(1)) model and the continuous-time Ornstein-Uhlenbeck (OU) model are equivalent. It is expected that by taking into account the unequal spacings of the time intervals in real data between observations will lead to an advantage for the OU in terms of predictive accuracy. In this paper, this is claim is being investigated by comparing the predictive accuracy of the OU model to that of the VAR(1) model on typical ESM data obtained in the context of affect research. It is shown that the VAR(1) model outperforms the OU model for the majority of the time series, even though time intervals in the data are unequally spaced. Accounting for measurement error does not change the result. Deleting large abrupt changes on short time intervals (that may be caused by externally driven events) does however lead to a significant improvement for the OU model. This suggests that processes in psychology may be continuously evolving, but that there are factors, like external events, which can disrupt the continuous flow.},
-  publisher = {Springer Science and Business Media LLC},
-}
-
-@Article{Manthey-Hassan-Carr-etal-2021,
-  author = {Jakob Manthey and Syed Ahmed Hassan and Sinclair Carr and Carolin Kilian and S{\"o}ren Kuitunen-Paul and J{\"u}rgen Rehm},
-  date = {2021-05},
-  journaltitle = {PharmacoEconomics},
-  title = {What are the economic costs to society attributable to alcohol use? A systematic review and modelling study},
-  doi = {10.1007/s40273-021-01031-8},
-  issn = {1179-2027},
-  number = {7},
-  pages = {809--822},
-  volume = {39},
-  abstract = {Background: Alcohol-attributable costs to society are captured by cost-of-illness studies, however estimates are often not comparable, e.g. due to the omission of relevant cost components. In this contribution we (1) summarize the societal costs attributable to alcohol use, and (2) estimate the total costs under the assumption that all cost components are considered. Methods: A systematic review and meta-analyses were conducted for studies reporting costs from alcohol consumption for the years 2000 and later, using the EMBASE and MEDLINE databases. Cost estimates were converted into 2019 international dollars (Int\$) per adult and into percentage of gross domestic product (GDP). For each study, weights were calculated to correct for the exclusion of cost indicators. Results: Of 1708 studies identified, 29 were included, and the mean costs of alcohol use amounted to 817.6 Int\$ per adult (95\% confidence interval [CI] 601.8-1033.4), equivalent to 1.5\% of the GDP (95\% CI 1.2-1.7\%). Adjusting for omission of cost components, the economic costs of alcohol consumption were estimated to amount to 1306 Int\$ per adult (95\% CI 873-1738), or 2.6\% (95\% CI 2.0-3.1\%) of the GDP. About one-third of costs (38.8\%) were incurred through direct costs, while the majority of costs were due to losses in productivity (61.2\%). Discussion: The identified cost studies were mainly conducted in high-income settings, with high heterogeneity in the employed methodology. Accounting for some methodological variations, our findings demonstrate that alcohol use continues to incur a high level of cost to many societies.},
-  publisher = {Springer Science and Business Media LLC},
-}
-
-@Article{McNeish-Hamaker-2020,
-  author = {Daniel McNeish and Ellen L. Hamaker},
-  date = {2020-10},
-  journaltitle = {Psychological Methods},
-  title = {A primer on two-level dynamic structural equation models for intensive longitudinal data in {Mplus}},
-  doi = {10.1037/met0000250},
-  number = {5},
-  pages = {610--635},
-  volume = {25},
-  abstract = {Technological advances have led to an increase in intensive longitudinal data and the statistical literature on modeling such data is rapidly expanding, as are software capabilities. Common methods in this area are related to time-series analysis, a framework that historically has received little exposure in psychology. There is a scarcity of psychology-based resources introducing the basic ideas of time-series analysis, especially for data sets featuring multiple people. We begin with basics of N = 1 time-series analysis and build up to complex dynamic structural equation models available in the newest release of Mplus Version 8. The goal is to provide readers with a basic conceptual understanding of common models, template code, and result interpretation. We provide short descriptions of some advanced issues, but our main priority is to supply readers with a solid knowledge base so that the more advanced literature on the topic is more readily digestible to a larger group of researchers.},
-  publisher = {American Psychological Association ({APA})},
-  keywords = {dynamic structural equation modeling, time-series analysis, intensive longitudinal data, multilevel modeling},
-}
-
-@Article{McNeish-MacKinnon-2022,
-  author = {Daniel McNeish and David P. MacKinnon},
-  date = {2022-12},
-  journaltitle = {Psychological Methods},
-  title = {Intensive longitudinal mediation in {Mplus}},
-  doi = {10.1037/met0000536},
-  abstract = {Much of the existing longitudinal mediation literature focuses on panel data where relatively few repeated measures are collected over a relatively broad timespan. However, technological advances in data collection (e.g., smartphones, wearables) have led to a proliferation of short duration, densely collected longitudinal data in behavioral research. These intensive longitudinal data differ in structure and focus relative to traditionally collected panel data. As a result, existing methodological resources do not necessarily extend to nuances present in the recent influx of intensive longitudinal data and designs. In this tutorial, we first cover potential limitations of traditional longitudinal mediation models to accommodate unique characteristics of intensive longitudinal data. Then, we discuss how recently developed dynamic structural equation models (DSEMs) may be well-suited for mediation modeling with intensive longitudinal data and can overcome some of the limitations associated with traditional approaches. We describe four increasingly complex intensive longitudinal mediation models: (a) stationary models where the indirect effect is constant over time and people, (b) person-specific models where the indirect effect varies across people, (c) dynamic models where the indirect effect varies across time, and (d) cross-classified models where the indirect effect varies across both time and people. We apply each model to a running example featuring a mobile health intervention designed to improve health behavior of individuals with binge eating disorder. In each example, we provide annotated Mplus code and interpretation of the output to guide empirical researchers through mediation modeling with this increasingly popular type of longitudinal data.},
-  publisher = {American Psychological Association ({APA})},
-  keywords = {intensive longitudinal data, time-series, mediation, EMA, daily diary},
-  annotation = {mediation, mediation-longitudinal},
-}
-
-@Article{Nust-Eddelbuettel-Bennett-etal-2020,
-  author = {Daniel N{\"u}st and Dirk Eddelbuettel and Dom Bennett and Robrecht Cannoodt and Dav Clark and Gergely Dar{\a'o}czi and Mark Edmondson and Colin Fay and Ellis Hughes and Lars Kjeldgaard and Sean Lopp and Ben Marwick and Heather Nolis and Jacqueline Nolis and Hong Ooi and Karthik Ram and Noam Ross and Lori Shepherd and P{\a'e}ter S{\a'o}lymos and Tyson Lee Swetnam and Nitesh Turaga and Charlotte {Van Petegem} and Jason Williams and Craig Willis and Nan Xiao},
-  date = {2020},
-  journaltitle = {The R Journal},
-  title = {The {Rockerverse}: Packages and applications for containerisation with {R}},
-  doi = {10.32614/rj-2020-007},
-  number = {1},
-  pages = {437},
-  volume = {12},
-  abstract = {The Rocker Project provides widely used Docker images for R across different application scenarios. This article surveys downstream projects that build upon the Rocker Project images and presents the current state of R packages for managing Docker images and controlling containers. These use cases cover diverse topics such as package development, reproducible research, collaborative work, cloud-based data processing, and production deployment of services. The variety of applications demonstrates the power of the Rocker Project specifically and containerisation in general. Across the diverse ways to use containers, we identified common themes: reproducible environments, scalability and efficiency, and portability across clouds. We conclude that the current growth and diversification of use cases is likely to continue its positive impact, but see the need for consolidating the Rockerverse ecosystem of packages, developing common practices for applications, and exploring alternative containerisation software.},
-  publisher = {The R Foundation},
-  annotation = {container, container-docker, container-rocker},
-}
-
-@Article{Park-Chow-Epskamp-etal-2023,
-  author = {Jonathan J. Park and Sy-Miin Chow and Sacha Epskamp and Peter C. M. Molenaar},
-  date = {2023},
-  journaltitle = {Multivariate Behavioral Research},
-  title = {Subgrouping with chain graphical {VAR} models},
-  abstract = {Recent years have seen the emergence of an ``idio-thetic'' class of methods to bridge the gap between nomothetic and idiographic inference. These methods describe nomothetic trends in idiographic processes by pooling intraindividual information across individuals to inform group-level inference or vice versa. The current work introduces a novel ``idio-thetic'' model: the subgrouped chain graphical vector autoregression (scGVAR). The scGVAR is unique in its ability to identify subgroups of individuals who share common dynamic network structures in both lag(1) and contemporaneous effects. Results from Monte Carlo simulations indicate that the scGVAR shows promise over similar approaches when clusters of individuals differ in their contemporaneous dynamics and in showing increased sensitivity in detecting nuanced group differences while keeping Type-I error rates low. In contrast, a competing approach–the Alternating Least Squares VAR (ALS VAR) performs well when groups were separated by larger distances. Further considerations are provided regarding applications of the ALS VAR and scGVAR on real data and the strengths and limitations of both methods.},
-  publisher = {Informa UK Limited},
-}
-
-@Article{Park-Fisher-Chow-etal-2023a,
-  author = {Jonathan J. Park and Zachary Fisher and Sy-Miin Chow and Peter C. M. Molenaar},
-  date = {2023-01},
-  journaltitle = {Multivariate Behavioral Research},
-  title = {On subgrouping continuous processes in discrete time},
-  doi = {10.1080/00273171.2022.2160957},
-  issn = {1532-7906},
-  number = {1},
-  pages = {154--155},
-  volume = {58},
-  publisher = {Informa UK Limited},
-}
-
-@Article{Park-Fisher-Chow-etal-2023b,
-  author = {Jonathan J. Park and Zachary F. Fisher and Sy-Miin Chow and Peter C. M. Molenaar},
-  date = {2023-08},
-  journaltitle = {Multivariate Behavioral Research},
-  title = {Evaluating discrete time methods for subgrouping continuous processes},
-  doi = {10.1080/00273171.2023.2235685},
-  issn = {1532-7906},
-  pages = {1--13},
-  abstract = {Rapid developments over the last several decades have brought increased focus and attention to the role of time scales and heterogeneity in the modeling of human processes. To address these emerging questions, subgrouping methods developed in the discrete-time framework—such as the vector autoregression (VAR)—have undergone widespread development to identify shared nomothetic trends from idiographic modeling results. Given the dependence of VAR-based parameters on the measurement intervals of the data, we sought to clarify the strengths and limitations of these methods in recovering subgroup dynamics under different measurement intervals. Building on the work of Molenaar and collaborators for subgrouping individual time-series by means of the subgrouped chain graphical VAR (scgVAR) and the subgrouping option in the group iterative multiple model estimation (S-GIMME), we present results from a Monte Carlo study aimed at addressing the implications of identifying subgroups using these discrete-time methods when applied to continuous-time data. Results indicate that discrete-time subgrouping methods perform well at recovering true subgroups when the measurement intervals are large enough to capture the full range of a system’s dynamics, either via lagged or contemporaneous effects. Further implications and limitations are discussed therein.},
-  publisher = {Informa UK Limited},
-}
-
-@Article{Pesigan-Cheung-2020,
-  author = {Ivan Jacob Agaloos Pesigan and Shu Fai Cheung},
-  date = {2020-12},
-  journaltitle = {Frontiers in Psychology},
-  title = {{SEM}-based methods to form confidence intervals for indirect effect: Still applicable given nonnormality, under certain conditions},
-  doi = {10.3389/fpsyg.2020.571928},
-  volume = {11},
-  abstract = {A SEM-based approach using likelihood-based confidence interval (LBCI) has been proposed to form confidence intervals for unstandardized and standardized indirect effect in mediation models. However, when used with the maximum likelihood estimation, this approach requires that the variables are multivariate normally distributed. This can affect the LBCIs of unstandardized and standardized effect differently. In the present study, the robustness of this approach when the predictor is not normally distributed but the error terms are conditionally normal, which does not violate the distributional assumption of ordinary least squares (OLS) estimation, is compared to four other approaches: nonparametric bootstrapping, two variants of LBCI, LBCI assuming the predictor is fixed (LBCI-Fixed-X) and LBCI based on ADF estimation (LBCI-ADF), and Monte Carlo. A simulation study was conducted using a simple mediation model and a serial mediation model, manipulating the distribution of the predictor. The Monte Carlo method performed worst among the methods. LBCI and LBCI-Fixed-X had suboptimal performance when the distributions had high kurtosis and the population indirect effects were medium to large. In some conditions, the problem was severe even when the sample size was large. LBCI-ADF and nonparametric bootstrapping had coverage probabilities close to the nominal value in nearly all conditions, although the coverage probabilities were still suboptimal for the serial mediation model when the sample size was small with respect to the model. Implications of these findings in the context of this special case of nonnormal data were discussed.},
-  publisher = {Frontiers Media {SA}},
-  keywords = {mediation, nonnormal, confidence interval, structural equation modeling, bootstrapping},
-  annotation = {mediation, mediation-likelihood, mediation-bootstrap, mediation-montecarlo},
-}
-
-@Article{Pesigan-Cheung-2023,
-  author = {Ivan Jacob Agaloos Pesigan and Shu Fai Cheung},
-  date = {2023-08},
-  journaltitle = {Behavior Research Methods},
-  title = {{Monte Carlo} confidence intervals for the indirect effect with missing data},
-  doi = {10.3758/s13428-023-02114-4},
-  abstract = {Missing data is a common occurrence in mediation analysis. As a result, the methods used to construct confidence intervals around the indirect effect should consider missing data. Previous research has demonstrated that, for the indirect effect in data with complete cases, the Monte Carlo method performs as well as nonparametric bootstrap confidence intervals (see MacKinnon et al., Multivariate Behavioral Research, 39(1), 99–128, 2004; Preacher \& Selig, Communication Methods and Measures, 6(2), 77–98, 2012; Tofighi \& MacKinnon, Structural Equation Modeling: A Multidisciplinary Journal, 23(2), 194–205, 2015). In this manuscript, we propose a simple, fast, and accurate two-step approach for generating confidence intervals for the indirect effect, in the presence of missing data, based on the Monte Carlo method. In the first step, an appropriate method, for example, full-information maximum likelihood or multiple imputation, is used to estimate the parameters and their corresponding sampling variance-covariance matrix in a mediation model. In the second step, the sampling distribution of the indirect effect is simulated using estimates from the first step. A confidence interval is constructed from the resulting sampling distribution. A simulation study with various conditions is presented. Implications of the results for applied research are discussed.},
-  publisher = {Springer Science and Business Media {LLC}},
-  keywords = {Monte Carlo method, nonparametric bootstrap, indirect effect, mediation, missing completely at random, missing at random, full-information maximum likelihood, multiple imputation},
-  annotation = {mediation, mediation-missing, mediation-bootstrap, mediation-montecarlo, mediation-jointtest, sem, r, r-packages},
-}
-
-@Article{Pesigan-Sun-Cheung-2023,
-  author = {Ivan Jacob Agaloos Pesigan and Rong Wei Sun and Shu Fai Cheung},
-  date = {2023-04},
-  journaltitle = {Multivariate Behavioral Research},
-  title = {{betaDelta} and {betaSandwich}: Confidence intervals for standardized regression coefficients in {R}},
-  doi = {10.1080/00273171.2023.2201277},
-  pages = {1--4},
-  abstract = {The multivariate delta method was used by Yuan and Chan to estimate standard errors and confidence intervals for standardized regression coefficients. Jones and Waller extended the earlier work to situations where data are nonnormal by utilizing Browne’s asymptotic distribution-free (ADF) theory. Furthermore, Dudgeon developed standard errors and confidence intervals, employing heteroskedasticity-consistent (HC) estimators, that are robust to nonnormality with better performance in smaller sample sizes compared to Jones and Waller’s ADF technique. Despite these advancements, empirical research has been slow to adopt these methodologies. This can be a result of the dearth of user-friendly software programs to put these techniques to use. We present the betaDelta and the betaSandwich packages in the R statistical software environment in this manuscript. Both the normal-theory approach and the ADF approach put forth by Yuan and Chan and Jones and Waller are implemented by the betaDelta package. The HC approach proposed by Dudgeon is implemented by the betaSandwich package. The use of the packages is demonstrated with an empirical example. We think the packages will enable applied researchers to accurately assess the sampling variability of standardized regression coefficients.},
-  publisher = {Informa {UK} Limited},
-  keywords = {standardized regression coefficients, confidence intervals, delta method standard errors, heteroskedasticity-consistent standard errors, R package},
-  annotation = {r, r-packages},
-}
-
-@Article{Rhemtulla-vanBork-Borsboom-2020,
-  author = {Mijke Rhemtulla and Riet {van Bork} and Denny Borsboom},
-  date = {2020-02},
-  journaltitle = {Psychological Methods},
-  title = {Worse than measurement error: Consequences of inappropriate latent variable measurement models},
-  doi = {10.1037/met0000220},
-  issn = {1082-989X},
-  number = {1},
-  pages = {30--45},
-  volume = {25},
-  abstract = {Previous research and methodological advice has focused on the importance of accounting for measurement error in psychological data. That perspective assumes that psychological variables conform to a common factor model. We explore what happens when data that are not generated from a common factor model are nonetheless modeled as reflecting a common factor. Through a series of hypothetical examples and an empirical reanalysis, we show that when a common factor model is misused, structural parameter estimates that indicate the relations among psychological constructs can be severely biased. Moreover, this bias can arise even when model fit is perfect. In some situations, composite models perform better than common factor models. These demonstrations point to a need for models to be justified on substantive, theoretical bases in addition to statistical ones.},
-  publisher = {American Psychological Association (APA)},
-}
-
-@Article{Rousselet-Pernet-Wilcox-2021,
-  author = {Guillaume A. Rousselet and Cyril R. Pernet and Rand R. Wilcox},
-  date = {2021-01},
-  journaltitle = {Advances in Methods and Practices in Psychological Science},
-  title = {The percentile bootstrap: A primer with step-by-step instructions in {R}},
-  doi = {10.1177/2515245920911881},
-  number = {1},
-  pages = {1--10},
-  volume = {4},
-  abstract = {The percentile bootstrap is the Swiss Army knife of statistics: It is a nonparametric method based on data-driven simulations. It can be applied to many statistical problems, as a substitute to standard parametric approaches, or in situations for which parametric methods do not exist. In this Tutorial, we cover \texttt{R} code to implement the percentile bootstrap to make inferences about central tendency (e.g., means and trimmed means) and spread in a one-sample example and in an example comparing two independent groups. For each example, we explain how to derive a bootstrap distribution and how to get a confidence interval and a $p$ value from that distribution. We also demonstrate how to run a simulation to assess the behavior of the bootstrap. For some purposes, such as making inferences about the mean, the bootstrap performs poorly. But for other purposes, it is the only known method that works well over a broad range of situations. More broadly, combining the percentile bootstrap with robust estimators (i.e., estimators that are not overly sensitive to outliers) can help users gain a deeper understanding of their data than they would using conventional methods.},
-  publisher = {{SAGE} Publications},
-  keywords = {bootstrap, confidence interval, correlation, R, simulation, trimmed mean, median, reaction time, skewness, group comparison, open materials},
-}
-
-@Article{Russell-LindenCarmichael-Lanza-etal-2020,
-  author = {Michael A. Russell and Ashley N. Linden-Carmichael and Stephanie T. Lanza and Emily V. Fair and Kenneth J. Sher and Thomas M. Piasecki},
-  date = {2020-05},
-  journaltitle = {Psychology of Addictive Behaviors},
-  title = {Affect relative to day-level drinking initiation: Analyzing ecological momentary assessment data with multilevel spline modeling},
-  doi = {10.1037/adb0000550},
-  issn = {0893-164X},
-  number = {3},
-  pages = {434--446},
-  volume = {34},
-  abstract = {Affect regulation models state that affect both motivates and reinforces alcohol use. We aimed to examine whether affect levels and rates of change differed across drinking versus nondrinking days in a manner consistent with affect regulation models. Four hundred four regularly drinking adults, aged 18–70 years, completed ecological momentary assessments over 3 weeks. Participants provided positive affect (PA; enthusiastic, excited, happy) and negative affect (NA; distressed, sad) reports during all prompts; alcohol consumption reports were also provided. Multilevel spline models revealed that on drinking days, PA was higher and NA was lower both before and after drinking compared to matched times on nondrinking days. PA and NA were also higher and lower, respectively, both before and after drinking, when heavy drinking days were compared to moderate drinking days. Examination of affect rates of change revealed that (a) accelerating increases in PA and accelerating decreases in NA preceded drinking initiation, (b) PA increases and NA decreases were seen up to 2 hr after drinking initiation, and (c) pre- and postdrinking PA increases were larger on heavy versus moderate drinking days, whereas only postdrinking NA decreases were larger on heavy drinking days. Results supported affect regulation models while adding nuance, showing accelerating changes in predrinking affect on drinking days and pre- and postdrinking differences in affect levels and rates of change across days of varying drinking intensity. Beyond theory, our results suggest that accelerating changes in affect may provide a clue to future commencement of heavy drinking, which may aid momentary intervention development.},
-  publisher = {American Psychological Association (APA)},
-}
-
-@Article{Russell-Smyth-Turrisi-Rodriguez-2023,
-  author = {Michael A. Russell and Joshua M. Smyth and Rob Turrisi and Gabriel C. Rodriguez},
-  date = {2023-06},
-  journaltitle = {Psychology of Addictive Behaviors},
-  title = {Baseline protective behavioral strategy use predicts more moderate transdermal alcohol concentration dynamics and fewer negative consequences of drinking in young adults’ natural settings.},
-  doi = {10.1037/adb0000941},
-  issn = {0893-164X},
-  abstract = {Objective: Test whether frequent protective behavioral strategies (PBS) users report (a) fewer alcohol-related consequences and (b) less risky alcohol intoxication dynamics (measured via transdermal alcohol concentration [TAC] sensor ``features'') in daily life. Method: Two hundred twenty-two frequently heavy-drinking young adults ($M_{\mathrm{age}} = 22.3$ years) wore TAC sensors for 6 consecutive days. TAC features peak (maximum TAC), rise rate (speed of TAC increase), and area under the curve (AUC) were derived for each day. Negative alcohol-related consequences were measured in the morning after each self-reported drinking day. Past-year PBS use was measured at baseline. Results: Young adults reporting more frequent baseline PBS use showed (a) fewer alcohol-related consequences and (b) lower intoxication dynamics on average (less AUC, lower peaks, and slower rise rates). Limiting/stopping and manner of drinking PBS showed the same pattern of findings as the total score. Serious harm reduction PBS predicted fewer negative alcohol-related consequences, but not TAC features. Multilevel path models showed that TAC features peak and rise rate partially explained associations between PBS (total, limiting/stopping, and manner of drinking) and consequences. Independent contributions of PBS subscales were small and nonsignificant, suggesting that total PBS use was a more important predictor of risk/protection than the specific types of PBS used. Conclusions: Young adults using more total PBS may experience fewer alcohol-related consequences during real-world drinking episodes in part through less risky intoxication dynamics (TAC features). Future research measuring PBS at the daily level is needed to formally test TAC features as day-level mechanisms of protection from acute alcohol-related consequences.},
-  publisher = {American Psychological Association (APA)},
-}
-
-@Article{Russell-Turrisi-Smyth-2022,
-  author = {Michael A. Russell and Robert J. Turrisi and Joshua M. Smyth},
-  date = {2022-01},
-  journaltitle = {Alcoholism: Clinical and Experimental Research},
-  title = {Transdermal sensor features correlate with ecological momentary assessment drinking reports and predict alcohol‐related consequences in young adults’ natural settings},
-  doi = {10.1111/acer.14739},
-  issn = {1530-0277},
-  number = {1},
-  pages = {100--113},
-  volume = {46},
-  abstract = {Background: Wearable transdermal alcohol concentration (TAC) sensors allow passive monitoring of alcohol concentration in natural settings and measurement of multiple features from drinking episodes, including peak intoxication level, speed of intoxication (absorption rate) and elimination, and duration. These passively collected features extend commonly used self-reported drink counts and may facilitate the prediction of alcohol-related consequences in natural settings, aiding risk stratification and prevention efforts. Method: A total of 222 young adults aged 21-29 ($M_{\mathrm{age}} = 22.3$, 64 female, 79\% non-Hispanic white, 84\% undergraduates) who regularly drink heavily participated in a 5-day study that included the ecological momentary assessment (EMA) of alcohol consumption (daily morning reports and participant-initiated episodic EMA sequences) and the wearing of TAC sensors (SCRAM-CAM anklets). The analytic sample contained 218 participants and 1274 days (including 554 self-reported drinking days). Five features—area under the curve (AUC), peak TAC, rise rate (rate of absorption), fall rate (rate of elimination), and duration—were extracted from TAC-positive trajectories for each drinking day. Day- and person-level associations of TAC features with drink counts (morning and episodic EMA) and alcohol-related consequences were tested using multilevel modeling. Results: TAC features were strongly associated with morning drink reports ($r$ = 0.60.7) but only moderately associated with episodic EMA drink counts ($r$ = 0.30.5) at both day and person levels. Higher peaks, larger AUCs, faster rise rates, and faster fall rates were significantly predictive of day-level alcohol-related consequences after adjusting for both morning and episodic EMA drink counts in separate models. Person means of TAC features added little above daily scores to the prediction of alcohol-related consequences. Conclusions: These results support the utility of TAC sensors in studies of alcohol misuse among young adults in natural settings and outline the specific TAC features that contribute to the day-level prediction of alcohol-related consequences. TAC sensors provide a passive option for obtaining valid and unique information predictive of drinking risk in natural settings.
-},
-  publisher = {Wiley},
-}
-
-@Article{Ryan-Hamaker-2021,
-  author = {Oisin Ryan and Ellen L. Hamaker},
-  date = {2021-06},
-  journaltitle = {Psychometrika},
-  title = {Time to intervene: A continuous-time approach to network analysis and centrality},
-  doi = {10.1007/s11336-021-09767-0},
-  number = {1},
-  pages = {214--252},
-  volume = {87},
-  abstract = {Network analysis of ESM data has become popular in clinical psychology. In this approach, discrete-time (DT) vector auto-regressive (VAR) models define the network structure with centrality measures used to identify intervention targets. However, VAR models suffer from time-interval dependency. Continuous-time (CT) models have been suggested as an alternative but require a conceptual shift, implying that DT-VAR parameters reflect total rather than direct effects. In this paper, we propose and illustrate a CT network approach using CT-VAR models. We define a new network representation and develop centrality measures which inform intervention targeting. This methodology is illustrated with an ESM dataset.},
-  publisher = {Springer Science and Business Media {LLC}},
-}
-
-@Article{Savalei-Rosseel-2021,
-  author = {Victoria Savalei and Yves Rosseel},
-  date = {2021-10},
-  journaltitle = {Structural Equation Modeling: A Multidisciplinary Journal},
-  title = {Computational options for standard errors and test statistics with incomplete normal and nonnormal data in {SEM}},
-  doi = {10.1080/10705511.2021.1877548},
-  number = {2},
-  pages = {163--181},
-  volume = {29},
-  abstract = {This article provides an overview of different computational options for inference following normal theory maximum likelihood (ML) estimation in structural equation modeling (SEM) with incomplete normal and nonnormal data. Complete data are covered as a special case. These computational options include whether the information matrix is observed or expected, whether the observed information matrix is estimated numerically or using an analytic asymptotic approximation, and whether the information matrix and the outer product matrix of the score vector are evaluated at the saturated or at the structured estimates. A variety of different standard errors and robust test statistics become possible by varying these options. We review the asymptotic properties of these computational variations, and we show how to obtain them using lavaan in R. We hope that this article will encourage methodologists to study the impact of the available computational options on the performance of standard errors and test statistics in SEM.},
-  publisher = {Informa {UK} Limited},
-  keywords = {incomplete data, nonnormal data, robust corrections, software implementation},
-}
-
-@Article{Shaygan-Karami-2020,
-  author = {Maryam Shaygan and Zainab Karami},
-  date = {2020},
-  journaltitle = {International Journal of Community Based Nursing \& Midwifery},
-  title = {Chronic pain in adolescents: Predicting role of emotional intelligence, self-esteem and parenting style},
-  doi = {10.30476/ijcbnm.2020.83153.1129},
-  volume = {8},
-  abstract = {Background: Pediatric chronic pain is prevalent and disabling. The present study aimed to assess the prevalence of chronic pain among adolescents in Shiraz, Iran. We also compared emotional intelligence, self-esteem and parenting style between adolescents with chronic pain and healthy adolescents. Finally, we examined the predicting role of these variables regarding chronic pain in adolescents. Methods: This cross-sectional study, from January to June 2018, was conducted on 734 adolescents in Shiraz. A clustering sampling method was used. Adolescents with chronic pain were identified by affirmative answers to screening questions based on the International Classification of Diseases 11th Revision (ICD-11) criteria. Participants completed three validated self-report questionnaires: Trait Emotional Intelligence Questionnaire, Rosenberg self-esteem scale and Baumrind parenting style questionnaire. The data were analyzed through SPSS v.22 software using Mann-Whitney and binary logistic regression tests. P<0.05 was considered significant. Results: There were 221(30.1\%) adolescents who met the ICD-11 criteria of chronic pain. Mann-Whitney tests showed that emotional intelligence (P<0.001), self-esteem (P<0.001), authoritative parenting style (P=0.004), and authoritarian parenting style (P=0.006) were significantly different in adolescents with chronic pain compared to healthy adolescents. Binary logistic regression revealed that emotional intelligence (P<0.001), self-esteem (P<0.001), authoritarian parenting style (P=0.04) and authoritative parenting style (P=0.01) were significantly correlated with chronic pain after controlling for demographic variables. Conclusion: Our findings indicate that emotional intelligence, self-esteem and parenting styles could be important factors in development or maintenance of chronic pain in adolescents. The results have potential to be extended to future interventions for adolescents with chronic pain.},
-  publisher = {Shiraz University of Medical Sciences, Shiraz, Iran},
-}
-
-@Article{Tofighi-Kelley-2020,
-  author = {Davood Tofighi and Ken Kelley},
-  date = {2020},
-  journaltitle = {Psychological Methods},
-  title = {Improved inference in mediation analysis: Introducing the model-based constrained optimization procedure},
-  doi = {10.1037/met0000259},
-  pages = {496--515},
-  volume = {25},
-  abstract = {Mediation analysis is an important approach for investigating causal pathways. One approach used in mediation analysis is the test of an indirect effect, which seeks to measure how the effect of an independent variable impacts an outcome variable through one or more mediators. However, in many situations the proposed tests of indirect effects, including popular confidence interval-based methods, tend to produce poor Type I error rates when mediation does not occur and, more generally, only allow dichotomous decisions of ``not significant'' or ``significant'' with regards to the statistical conclusion. To remedy these issues, we propose a new method, a likelihood ratio test (LRT), that uses non-linear constraints in what we term the model-based constrained optimization (MBCO) procedure. The MBCO procedure (a) offers a more robust Type I error rate than existing methods; (b) provides a p-value, which serves as a continuous measure of compatibility of data with the hypothesized null model (not just a dichotomous reject or fail-to-reject decision rule); (c) allows simple and complex hypotheses about mediation (i.e., one or more mediators; different mediational pathways), and (d) allows the mediation model to use observed or latent variables. The MBCO procedure is based on a structural equation modeling framework (even if latent variables are not specified) with specialized fitting routines, namely with the use of non-linear constraints. We advocate using the MBCO procedure to test hypotheses about an indirect effect in addition to reporting a confidence interval to capture uncertainty about the indirect effect because this combination transcends existing methods.},
-  publisher = {{American Psychological Association ({APA})}},
-}
-
-@Article{Usami-2020,
-  author = {Satoshi Usami},
-  date = {2020-10},
-  journaltitle = {Structural Equation Modeling: A Multidisciplinary Journal},
-  title = {On the differences between general cross-lagged panel model and random-intercept cross-lagged panel model: Interpretation of cross-lagged parameters and model choice},
-  doi = {10.1080/10705511.2020.1821690},
-  issn = {1532-8007},
-  number = {3},
-  pages = {331--344},
-  volume = {28},
-  abstract = {Many methods have been developed to infer reciprocal relations between longitudinally observed variables. Among them, the general cross-lagged panel model (GCLM) is the most recent development as a variant of the cross-lagged panel model (CLPM), while the random-intercept CLPM (RI-CLPM) has rapidly become a popular approach. In this article, we describe how common factors and cross-lagged parameters included in these models can be interpreted, using a unified framework that was recently developed. Because common factors are modeled with lagged effects in the GCLM, they have both direct and indirect influences on observed scores, unlike stable trait factors included in the RI-CLPM. This indicates that the GCLM does not control for stable traits as the RI-CLPM does, and that there are interpretative differences in cross-lagged parameters between these models. We also explain that including such common factors as well as moving-average terms in the GCLM makes this interpretation very complicated.},
-  publisher = {Informa UK Limited},
-}
-
-@Article{Zeileis-Koll-Graham-2020,
-  author = {Achim Zeileis and Susanne K{\"o}ll and Nathaniel Graham},
-  date = {2020-10},
-  journaltitle = {Journal of Statistical Software},
-  title = {Various versatile variances: An object-oriented implementation of clustered covariances in {R}},
-  doi = {10.18637/jss.v095.i01},
-  number = {1},
-  volume = {95},
-  abstract = {Clustered covariances or clustered standard errors are very widely used to account for correlated or clustered data, especially in economics, political sciences, and other social sciences. They are employed to adjust the inference following estimation of a standard least-squares regression or generalized linear model estimated by maximum likelihood. Although many publications just refer to "the" clustered standard errors, there is a surprisingly wide variety of clustered covariances, particularly due to different flavors of bias corrections. Furthermore, while the linear regression model is certainly the most important application case, the same strategies can be employed in more general models (e.g., for zero-inflated, censored, or limited responses). In R, functions for covariances in clustered or panel models have been somewhat scattered or available only for certain modeling functions, notably the (generalized) linear regression model. In contrast, an object-oriented approach to ``robust''' covariance matrix estimation - applicable beyond lm() and glm() - is available in the sandwich package but has been limited to the case of cross-section or time series data. Starting with sandwich 2.4.0, this shortcoming has been corrected: Based on methods for two generic functions (estfun() and bread()), clustered and panel covariances are provided in vcovCL(), vcovPL(), and vcovPC(). Moreover, clustered bootstrap covariances are provided in vcovBS(), using model update() on bootstrap samples. These are directly applicable to models from packages including MASS, pscl, countreg, and betareg, among many others. Some empirical illustrations are provided as well as an assessment of the methods' performance in a simulation study.},
-  publisher = {Foundation for Open Access Statistic},
-}
-
-@InBook{Chow-Losardo-Park-etal-2023,
-  author = {Sy-Miin Chow and Diane Losardo and Jonathan Park and Peter C. M. Molenaar},
-  booktitle = {Handbook of structural equation modeling},
-  date = {2023},
-  title = {Continuous-time dynamic models: Connections to structural equation models and other discrete-time models},
-  edition = {2},
-  editor = {Rick H. Hoyle},
-  isbn = {9781462550722},
-  location = {New York},
-  publisher = {The Guilford Press},
-}
-
-@Book{Gates-Chow-Molenaar-2023,
-  author = {Kathleen M. Gates and Sy-Miin Chow and Peter C. M. Molenaar},
-  date = {2023},
-  title = {Intensive longitudinal analysis of human processes},
-  doi = {10.1201/9780429172649},
-  isbn = {9780429172649},
-  location = {Boca Raton},
-  publisher = {Chapman \& Hall/CRC Press,},
-  series = {Chapman \& Hall/CRC statistics in the social and behavioral sciences},
-  abstract = {This book focuses on a span of statistical topics relevant to researchers who seek to conduct person-specific analysis of human data. Our purpose is to provide one consolidated resource that includes techniques from disciplines such as engineering, physics, statistics, and quantitative psychology and outlines their application to data often seen in human research. The book balances mathematical concepts with information needed for using these statistical approaches in applied settings, such as interpretative caveats and issues to consider when selecting an approach.
-The statistical topics covered here include foundational material as well as state-of-the-art methods. These analytic approaches can be applied to a range of data types such as psychophysiological, self-report, and passively collected measures such as those obtained from smartphones. We provide examples using varied data sources including functional MRI (fMRI), daily diary, and ecological momentary assessment data.
-Features:
-Description of time series, measurement, model building, and network methods for person-specific analysis
-Discussion of the statistical methods in the context of human research
-Empirical and simulated data examples used throughout the book
-R code for analyses and recorded lectures for each chapter available at the book website: https://www.personspecific.com/
-Across various disciplines of human study, researchers are increasingly seeking to conduct person-specific analysis. This book provides comprehensive information, so no prior knowledge of these methods is required. We aim to reach active researchers who already have some understanding of basic statistical testing. Our book provides a comprehensive resource for those who are just beginning to learn about person-specific analysis as well as those who already conduct such analysis but seek to further deepen their knowledge and learn new tools.
-},
-}
-
-@Book{Hayes-2022,
-  author = {Andrew F. Hayes},
-  date = {2022},
-  title = {Introduction to mediation, moderation, and conditional process analysis: A regression-based approach},
-  series = {Methodology in the social sciences},
-  edition = {3},
-  isbn = {9781462549030},
-  pages = {732},
-  library = {HA31.3 .H39 2022},
-  addendum = {https://lccn.loc.gov/2021031108},
-  abstract = {Lauded for its easy-to-understand, conversational discussion of the fundamentals of mediation, moderation, and conditional process analysis, this book has been fully revised with 50\% new content, including sections on working with multicategorical antecedent variables, the use of PROCESS version 3 for SPSS and SAS for model estimation, and annotated PROCESS v3 outputs. Using the principles of ordinary least squares regression, Andrew F. Hayes carefully explains procedures for testing hypotheses about the conditions under and the mechanisms by which causal effects operate, as well as the moderation of such mechanisms. Hayes shows how to estimate and interpret direct, indirect, and conditional effects; probe and visualize interactions; test questions about moderated mediation; and report different types of analyses. Data for all the examples are available on the companion website (www.afhayes.com) along with links to download PROCESS.},
-  publisher = {Guilford Publications},
-  keywords = {Social sciences--Statistical methods, Mediation (Statistics), Regression analysis},
-  annotation = {mediation, mediation-bootstrap, mediation-book},
-}
-
-@InBook{Vanhasbroeck-Ariens-Tuerlinckx-etal-2021,
-  author = {Niels Vanhasbroeck and Sigert Ariens and Francis Tuerlinckx and Tim Loossens},
-  booktitle = {Affect dynamics},
-  editors = {Christian E. Waugh and Peter Kuppens},
-  date = {2021},
-  title = {Computational models for affect dynamics},
-  doi = {10.1007/978-3-030-82965-0_10},
-  isbn = {9783030829650},
-  pages = {213--260},
-  publisher = {Springer International Publishing},
-  abstract = {Computational models of affect dynamics are ubiquitous. These models are appropriate for either exploring intensive longitudinal data or testing theories about affect dynamics. In this chapter, we give a brief overview of some of the computational models that have been applied in the field of affect dynamics, focusing on both discrete-time and continuous-time models. The emphasis of this chapter lies on describing the core ideas of the models and how they can be interpreted. At the end, we provide references to other important topics for the interested reader.},
-}
-
-@Manual{Arbuckle-2020,
-  author = {James L. Arbuckle},
-  date = {2020},
-  title = {Amos 27.0 user's guide},
-  location = {Chicago},
-  publisher = {IBM SPSS},
-  annotation = {sem, sem-software},
-}
-
-@Manual{Arbuckle-2021,
-  author = {James L. Arbuckle},
-  date = {2021},
-  title = {Amos 28.0 user's guide},
-  location = {Chicago},
-  publisher = {IBM SPSS},
-  annotation = {sem, sem-software},
-}
-
-@Report{Asparouhov-Muthen-2022,
-  author = {Tihomir Asparouhov and Bengt O. Muth{\a'e}n},
-  date = {2022},
-  title = {Multiple imputation with {Mplus}},
-  type = {techreport},
-  url = {http://www.statmodel.com/download/Imputations7.pdf},
-  institution = {http:\\www.statmodel.com},
-}
-
-@Manual{Eddelbuettel-Francois-Allaire-etal-2023,
-  title = {{Rcpp}: Seamless {R} and {C++} Integration},
-  author = {Dirk Eddelbuettel and Romain Francois and JJ Allaire and Kevin Ushey and Qiang Kou and Nathan Russell and Inaki Ucar and Douglas Bates and John Chambers},
-  date = {2023},
-  note = {R package version 1.0.11},
-  url = {https://CRAN.R-project.org/package=Rcpp},
-  annotation = {r, r-package},
-}
-
-@Manual{Jorgensen-Pornprasertmanit-Schoemann-etal-2022,
-  title = {{semTools}: Useful tools for structural equation modeling},
-  author = {Terrence D. Jorgensen and Sunthud Pornprasertmanit and Alexander M. Schoemann and Yves Rosseel},
-  date = {2022},
-  note = {R package version 0.5-6},
-  url = {https://CRAN.R-project.org/package=semTools},
-}
-
-@Misc{Kurtzer-cclerget-Bauer-etal-2021,
-  author = {Gregory M. Kurtzer and {cclerget} and Michael Bauer and Ian Kaneshiro and David Trudgian and David Godlove},
-  date = {2021},
-  title = {{hpcng/singularity: Singularity 3.7.3}},
-  doi = {10.5281/ZENODO.1310023},
-  copyright = {Open Access},
-  publisher = {Zenodo},
-  annotation = {container, container-singularity},
-}
-
-@Manual{Patrick-Miech-Johnston-etal-2023,
-  author = {Megan Patrick and Richard Miech and Lloyd Johnston and Patrick O\textquoterightMalley},
-  date = {2023},
-  title = {{Monitoring the Future Panel Study} annual report: National data on substance use among adults ages 19 to 60, 1976-2022},
-  doi = {10.7826/isr-um.06.585140.002.07.0002.2023},
-  institution = {Institute for Social Research, University of Michigan},
-  location = {Ann Arbor, MI},
-  publisher = {Institute for Social Research, The University of Michigan},
-}
-
-@PhdThesis{Pesigan-2022,
-  author = {Ivan Jacob Agaloos Pesigan},
-  year = {2022},
-  school = {University of Macau},
-  title = {Confidence intervals for standardized coefficients: Applied to regression coefficients in primary studies and indirect effects in meta-analytic structural equation modeling},
-  type = {phdthesis},
-}
-
-@Manual{RCoreTeam-2021,
-  title = {{R}: A language and environment for statistical computing},
-  author = {{R Core Team}},
-  organization = {R Foundation for Statistical Computing},
-  date = {2021},
-  location = {Vienna, Austria},
-  url = {https://www.R-project.org/},
-  annotation = {r, r-manual},
-}
-
-@Manual{RCoreTeam-2022,
-  title = {{R}: A language and environment for statistical computing},
-  author = {{R Core Team}},
-  organization = {R Foundation for Statistical Computing},
-  date = {2022},
-  location = {Vienna, Austria},
-  url = {https://www.R-project.org/},
-  annotation = {r, r-manual},
-}
-
-@Manual{RCoreTeam-2023,
-  title = {{R}: A language and environment for statistical computing},
-  author = {{R Core Team}},
-  organization = {R Foundation for Statistical Computing},
-  date = {2023},
-  location = {Vienna, Austria},
-  url = {https://www.R-project.org/},
-  annotation = {r, r-manual},
-}
-
-@Manual{SAMHSA-2020,
-  author = {{SAMHSA}},
-  title = {Key substance use and mental health indicators in the {United States}: Results from the {2019 National Survey on Drug Use and Health} ({HHS Publication No. PEP20-07-01-001, NSDUH Series H-55})},
-  date = {2020},
-  url = {https://www.samhsa.gov/data/},
-  location = {Rockville, MD},
-  publisher = {Center for Behavioral Health Statistics and Quality, Substance Abuse and Mental Health Services Administration},
-}
-
-@Manual{SAMHSA-2023,
-  author = {{SAMHSA}},
-  title = {Key substance use and mental health indicators in the {United States}: Results from the {2022 National Survey on Drug Use and Health} ({HHS Publication No. PEP23-07-01-006, NSDUH Series H-58})},
-  date = {2023},
-  url = {https://www.samhsa.gov/data/report/2022-nsduh-annual-national-report},
-  location = {Rockville, MD},
-  publisher = {Center for Behavioral Health Statistics and Quality, Substance Abuse and Mental Health Services Administration},
-}
-
-@Manual{Schulenberg-Patrick-Johnston-etal-2021,
-  author = {John E. Schulenberg and Megan E. Patrick and Lloyd D. Johnston and Patrick M. O'Malley and Jerald G. Bachman and Richard A. Miech},
-  title = {{Monitoring the Future} national survey results on drug use, 1975-2020: Volume II, College students and adults ages 19–60},
-  date = {2021},
-  location = {Ann Arbor, MI},
-  publisher = {Institute for Social Research, The University of Michigan},
-}
-
-@Manual{Waller-2022,
-  author = {Niels G. Waller},
-  title = {{fungible}: Psychometric functions from the {Waller Lab}},
-  date = {2022},
-  note = {R package version 2.2.1},
-  url = {https://CRAN.R-project.org/package=fungible},
-  publisher = {The R Foundation},
-  annotation = {r, r-package},
-}
diff --git a/README.md b/README.md
index c4fc0a6..e5ba429 100644
--- a/README.md
+++ b/README.md
@@ -97,9 +97,9 @@ BetaNB(nb, alpha = 0.05)
 #> Standardized regression slopes
 #> type = "pc"
 #>            est     se    R   2.5%  97.5%
-#> NARTIC  0.4951 0.0720 5000 0.3523 0.6356
-#> PCTGRT  0.3915 0.0773 5000 0.2343 0.5386
-#> PCTSUPP 0.2632 0.0786 5000 0.1115 0.4150
+#> NARTIC  0.4951 0.0721 5000 0.3557 0.6371
+#> PCTGRT  0.3915 0.0769 5000 0.2365 0.5390
+#> PCTSUPP 0.2632 0.0804 5000 0.1062 0.4184
 ```
 
 ### Other Effect Sizes
@@ -122,8 +122,8 @@ RSqNB(nb, alpha = 0.05)
 #> R-squared and adjusted R-squared
 #> type = "pc"
 #>        est     se    R   2.5%  97.5%
-#> rsq 0.8045 0.0540 5000 0.6884 0.8964
-#> adj 0.7906 0.0578 5000 0.6661 0.8890
+#> rsq 0.8045 0.0534 5000 0.6880 0.8975
+#> adj 0.7906 0.0573 5000 0.6657 0.8902
 ```
 
 #### Improvement in R-squared
@@ -136,9 +136,9 @@ DeltaRSqNB(nb, alpha = 0.05)
 #> Improvement in R-squared
 #> type = "pc"
 #>            est     se    R   2.5%  97.5%
-#> NARTIC  0.1859 0.0591 5000 0.0817 0.3095
-#> PCTGRT  0.1177 0.0494 5000 0.0340 0.2276
-#> PCTSUPP 0.0569 0.0341 5000 0.0095 0.1409
+#> NARTIC  0.1859 0.0597 5000 0.0829 0.3141
+#> PCTGRT  0.1177 0.0488 5000 0.0344 0.2265
+#> PCTSUPP 0.0569 0.0347 5000 0.0090 0.1411
 ```
 
 #### Semipartial Correlation Coefficients
@@ -151,9 +151,9 @@ SCorNB(nb, alpha = 0.05)
 #> Semipartial correlations
 #> type = "pc"
 #>            est     se    R   2.5%  97.5%
-#> NARTIC  0.4312 0.0696 5000 0.2858 0.5563
-#> PCTGRT  0.3430 0.0737 5000 0.1843 0.4771
-#> PCTSUPP 0.2385 0.0707 5000 0.0972 0.3754
+#> NARTIC  0.4312 0.0700 5000 0.2878 0.5604
+#> PCTGRT  0.3430 0.0731 5000 0.1855 0.4759
+#> PCTSUPP 0.2385 0.0724 5000 0.0947 0.3756
 ```
 
 #### Squared Partial Correlation Coefficients
@@ -166,9 +166,9 @@ PCorNB(nb, alpha = 0.05)
 #> Squared partial correlations
 #> type = "pc"
 #>            est     se    R   2.5%  97.5%
-#> NARTIC  0.4874 0.0985 5000 0.2898 0.6656
-#> PCTGRT  0.3757 0.1098 5000 0.1597 0.5812
-#> PCTSUPP 0.2254 0.1149 5000 0.0457 0.4753
+#> NARTIC  0.4874 0.0987 5000 0.2800 0.6650
+#> PCTGRT  0.3757 0.1093 5000 0.1604 0.5835
+#> PCTSUPP 0.2254 0.1152 5000 0.0425 0.4839
 ```
 
 #### Differences of Standardized Regression Coefficients
@@ -181,9 +181,9 @@ DiffBetaNB(nb, alpha = 0.05)
 #> Differences of standardized regression slopes
 #> type = "pc"
 #>                   est     se    R    2.5%  97.5%
-#> NARTIC-PCTGRT  0.1037 0.1324 5000 -0.1545 0.3699
-#> NARTIC-PCTSUPP 0.2319 0.1224 5000 -0.0086 0.4739
-#> PCTGRT-PCTSUPP 0.1282 0.1269 5000 -0.1201 0.3777
+#> NARTIC-PCTGRT  0.1037 0.1314 5000 -0.1533 0.3742
+#> NARTIC-PCTSUPP 0.2319 0.1244 5000 -0.0057 0.4784
+#> PCTGRT-PCTSUPP 0.1282 0.1283 5000 -0.1257 0.3807
 ```
 
 ## Documentation
diff --git a/data/nas1982.rda b/data/nas1982.rda
index f6834b0888a2fdfaa438eed1be89b3033deeb8ca..625f1a296020a30694c6f930acf68e5d218090c4 100644
GIT binary patch
delta 24
fcmcb^bBBjN$R)y<D}sxGfq|KUg@th=zb_jANRI@J

delta 24
fcmcb^bBBjN$R)y<D}sxGfq|KUg@s`wzb_jANQwlD